[
  {
    "path": ".github/.gitattributes",
    "content": "* linguist-language=Python\n"
  },
  {
    "path": ".github/CODE_OF_CONDUCT.md",
    "content": "# Contributor Covenant Code of Conduct\n\n## Our Pledge\n\nIn the interest of fostering an open and welcoming environment, we as\ncontributors and maintainers pledge to making participation in our project and\nour community a harassment-free experience for everyone, regardless of age, body\nsize, disability, ethnicity, sex characteristics, gender identity and expression,\nlevel of experience, education, socio-economic status, nationality, personal\nappearance, race, religion, or sexual identity and orientation.\n\n## Our Standards\n\nExamples of behavior that contributes to creating a positive environment\ninclude:\n\n* Using welcoming and inclusive language\n* Being respectful of differing viewpoints and experiences\n* Gracefully accepting constructive criticism\n* Focusing on what is best for the community\n* Showing empathy towards other community members\n\nExamples of unacceptable behavior by participants include:\n\n* The use of sexualized language or imagery and unwelcome sexual attention or\n advances\n* Trolling, insulting/derogatory comments, and personal or political attacks\n* Public or private harassment\n* Publishing others' private information, such as a physical or electronic\n address, without explicit permission\n* Other conduct which could reasonably be considered inappropriate in a\n professional setting\n\n## Our Responsibilities\n\nProject maintainers are responsible for clarifying the standards of acceptable\nbehavior and are expected to take appropriate and fair corrective action in\nresponse to any instances of unacceptable behavior.\n\nProject maintainers have the right and responsibility to remove, edit, or\nreject comments, commits, code, wiki edits, issues, and other contributions\nthat are not aligned to this Code of Conduct, or to ban temporarily or\npermanently any contributor for other behaviors that they deem inappropriate,\nthreatening, offensive, or harmful.\n\n## Scope\n\nThis Code of Conduct applies both within project spaces and in public spaces\nwhen an individual is representing the project or its community. Examples of\nrepresenting a project or community include using an official project e-mail\naddress, posting via an official social media account, or acting as an appointed\nrepresentative at an online or offline event. Representation of a project may be\nfurther defined and clarified by project maintainers.\n\n## Enforcement\n\nInstances of abusive, harassing, or otherwise unacceptable behavior may be\nreported by contacting the project team at team@mltooling.org. All\ncomplaints will be reviewed and investigated and will result in a response that\nis deemed necessary and appropriate to the circumstances. The project team is\nobligated to maintain confidentiality with regard to the reporter of an incident.\nFurther details of specific enforcement policies may be posted separately.\n\nProject maintainers who do not follow or enforce the Code of Conduct in good\nfaith may face temporary or permanent repercussions as determined by other\nmembers of the project's leadership.\n\n## Attribution\n\nThis Code of Conduct is adapted from the [Contributor Covenant][homepage], version 1.4,\navailable at https://www.contributor-covenant.org/version/1/4/code-of-conduct.html\n\n[homepage]: https://www.contributor-covenant.org\n\nFor answers to common questions about this code of conduct, see\nhttps://www.contributor-covenant.org/faq"
  },
  {
    "path": ".github/ISSUE_TEMPLATE/01_suggest-project.md",
    "content": "---\nname: \"📦 Suggest a project\"\nabout: \"Do you like to suggest a project that hasn't been added to this best-of list yet?\"\ntitle: 'Add project: '\nlabels: 'add-project'\nassignees: ''\n\n---\n\n<!--\nPlease make sure that the project was not already added or suggested to this best-of list. You can ensure this by searching the projects.yaml, the README.md, and the issue list.\n-->\n\n**Project details:**\n<!-- Please fill out as much of the following information as possible. -->\n\n- Project Name:\n- Github URL:\n- Category:  <!-- Choose one of the existing categories from the README.md or projects.yaml file -->\n- License:\n- Package Managers: <!-- Add the IDs for every package manager that the project is available on (e.g. npm, pypi, conda, dockerhub, maven, apt, ...). For example: pypi:tensorflow conda:conda-forge/tensorflow dockerhub:tensorflow/tensorflow -->\n\n**Additional context:**\n\n<!-- Optional. Add any other context or additional information about the project. -->\n"
  },
  {
    "path": ".github/ISSUE_TEMPLATE/02_update-project.md",
    "content": "---\nname: \"✏️ Update a project\"\nabout: Do you have changes for a project, e.g. missing package manager, wrong license or category?\ntitle: 'Update project: '\nlabels: 'update-project'\nassignees: ''\n\n---\n\n**Update details:**\n\n<!--- \nPlease state the project name that this update is referring to and list all information or metadata that needs to be changed, added or removed. This might include the license, package managers, github url, description, and any other available property.\n-->\n\n- Project Name:\n\n<!--- State all information that needs to be updated. -->\n\n**Additional context:**\n\n<!-- Add any other context or additional information about why this change is important. -->\n"
  },
  {
    "path": ".github/ISSUE_TEMPLATE/03_update-categories.md",
    "content": "---\nname: \"🏷 Add or update a category\"\nabout: Do you like to suggest a new project category or update an existing one?\ntitle: ''\nlabels: 'category'\nassignees: ''\n\n---\n\n<!--\nPlease select either to add or to update a category. Tick of with: [] -> [x]\n-->\n\n- [ ] Add category\n- [ ] Update category: <!-- Category Name or ID -->\n\n**Category details:**\n\n<!--- \nPlease state the category details that should be added or changed.\n-->\n\n- Category Title:\n- Category Subtitle:\n\n**Additional context:**\n\n<!-- Add any other context or additional information about why this change or addition is important. -->\n"
  },
  {
    "path": ".github/ISSUE_TEMPLATE/04_change-configuration.md",
    "content": "---\nname: \"⚙️ Change configuration\"\nabout: Do you have a suggestion for changing the configuration, e.g. allow additional licenses or adjust minimal stars?\ntitle: ''\nlabels: 'configuration'\nassignees: ''\n\n---\n\n**Configuration Change:**\n\n<!-- Describe your suggested configuration change. -->\n"
  },
  {
    "path": ".github/ISSUE_TEMPLATE/05_anything-else.md",
    "content": "---\nname: \"\\U0001F4AC Anything else?\"\nabout: For questions or suggestions regarding the metadata collection or markdown generation, please refer to the best-of-lists/best-of-generator repository.\ntitle: ''\nlabels: 'question'\nassignees: ''\n\n---\n\n<!--\nFor questions or suggestions regarding the project metadata collection or markdown generation, please refer to the best-of-generator repository: https://github.com/best-of-lists/best-of-generator\n-->\n\n**Describe the issue:**\n\n<!-- Describe your issue, but please be descriptive! Include screenshots, logs, code or other info to help explain your problem -->\n"
  },
  {
    "path": ".github/PULL_REQUEST_TEMPLATE.md",
    "content": "**What kind of change does this PR introduce?**\n<!-- (Update \"[ ]\" to \"[x]\" to check a box) -->\n\n- [ ] Add a project\n- [ ] Update a project\n- [ ] Remove a project\n- [ ] Add or update a category\n- [ ] Change configuration\n- [ ] Documentation\n- [ ] Other, please describe:\n\n**Description:**\n<!--- Use this section to describe your changes. We recommend only to add, update, or remove one project per pull request. If your PR adds a new project, just put the project name and a short description of the project here.-->\n\n**Checklist:**\n<!--- Before you submit the PR, go over this checklist and make sure you can\ntick off all the boxes. [] -> [x] -->\n\n- [ ] I have read the [CONTRIBUTING](https://github.com/ml-tooling/best-of-ml-python/blob/main/CONTRIBUTING.md) guidelines.\n- [ ] I have not modified the `README.md` file. Projects are only supposed to be added or updated within the `projects.yaml` file since the `README.md` file is automatically generated.\n"
  },
  {
    "path": ".github/workflows/update-best-of-list.yml",
    "content": "# Based on https://github.com/best-of-lists/best-of-update-action/blob/v0.8.5/workflows/update-best-of-list.yml\nname: update-best-of-list\n\non:\n  workflow_dispatch:\n    inputs:\n      version:\n        description: \"Version to use for this update\"\n        required: false\n  schedule:\n    - cron: \"0 14 * * 4\" # Every thursday at 2pm\n\nenv:\n  BRANCH_PREFIX: \"update/\"\n  DEFAULT_BRANCH: \"main\"\n\njobs:\n  update-best-of-list:\n    runs-on: ubuntu-latest\n    steps:\n      - if: ${{ github.event.inputs != null  &&  github.event.inputs.version != null }}\n        name: set-version-from-input\n        run: echo \"VERSION=${{ github.event.inputs.version }}\" >> $GITHUB_ENV\n      - if: ${{ ! (env.VERSION != null && env.VERSION != '') }}\n        name: set-version-via-date\n        run: echo \"VERSION=$(date '+%Y.%m.%d')\" >> $GITHUB_ENV\n      - uses: actions/checkout@v4\n      - name: check-version-tag\n        shell: bash\n        run: |\n          git fetch --tags --force\n          git show-ref --tags --verify --quiet -- \"refs/tags/${{ env.VERSION }}\" && echo \"VERSION=$(date '+%Y.%m.%d-%H.%M')\" >> $GITHUB_ENV || exit 0\n      - name: create-update-branch\n        uses: peterjgrainger/action-create-branch@v3.0.0\n        env:\n          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}\n        with:\n          branch: \"${{ env.BRANCH_PREFIX }}${{ env.VERSION }}\"\n      - uses: actions/checkout@v4\n        with:\n          fetch-depth: 0\n          ref: ${{ env.BRANCH_PREFIX }}${{ env.VERSION }}\n          token: ${{ secrets.GITHUB_TOKEN }}\n        env:\n          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}\n      - name: update-best-of-list\n        uses: best-of-lists/best-of-update-action@v0.8.5\n        with:\n          libraries_key: ${{ secrets.LIBRARIES_KEY }}\n          github_key: ${{ secrets.GITHUB_TOKEN }}\n      - name: push-update\n        uses: stefanzweifel/git-auto-commit-action@v4\n        with:\n          branch: ${{ env.BRANCH_PREFIX }}${{ env.VERSION  }}\n          commit_user_name: best-of update\n          commit_user_email: actions@github.com\n          commit_message: Update best-of list for version ${{ env.VERSION  }}\n          tagging_message: ${{ env.VERSION  }}\n          skip_dirty_check: true\n          commit_options: \"--allow-empty\"\n      - name: create-pull-request\n        shell: bash\n        run: |\n          # Stops script execution if a command has an error\n          set -e\n          curl -fsSL https://github.com/github/hub/raw/master/script/get | bash -s 2.14.2\n          bin/hub pull-request -b ${{ env.DEFAULT_BRANCH }} -h ${{ env.BRANCH_PREFIX }}${{ env.VERSION  }} --no-edit -m \"Best-of update: ${{ env.VERSION  }}\" -m \"To finish this update: Select <code>Merge pull request</code> below and <code>Confirm merge</code>. Also, make sure to publish the created draft release in the [releases section](../releases) as well.\" || true\n          rm bin/hub\n        env:\n          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}\n      - name: create-release\n        uses: actions/create-release@v1\n        env:\n          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}\n        with:\n          tag_name: ${{ env.VERSION  }}\n          release_name: \"Update: ${{ env.VERSION  }}\"\n          body_path: \"latest-changes.md\"\n          draft: true\n          prerelease: false\n"
  },
  {
    "path": ".gitignore",
    "content": "# IntelliJ\ntarget/\n.idea/\n*.iml\n\n# Sublime\n*.sublime-workspace\n\n# Eclipse\n.settings\n\n# VS Code\n.project\n.classpath\n# Shared VS Code Settings\n.vscode/*\n!.vscode/README.md\n!.vscode/recommended-settings.json\n!.vscode/recommended-tasks.json\n!.vscode/recommended-launch.json\n!.vscode/extensions.json\n# Ignore all local history of files\n**/.history\n\n# Java\n*.class\ntarget/\n\n# C\n*.so\n\n# Python\n*.pyc\n*.egg-info\n__pycache__\n.ipynb_checkpoints\n.Python\ndist/\n.python-version\n.installed.cfg\n*.egg\nreqlib-metadata\n.mypy_cache/\n.venv\nvenv/\nbuild/\n\n# Byte-compiled / optimized / DLL files\n*.pyc\n__pycache__/\n*.py[cod]\n*$py.class\n\n# Unit test / coverage reports\nhtmlcov/\n.tox/\n.nox/\n.coverage\n.coverage.*\n.cache\nnosetests.xml\ncoverage.xml\n*,cover\n.hypothesis/\n.pytest_cache/\n\n# NPM / Node / JavaScript\n.npm\nnode_modules/\njspm_packages/\n\n# Runtime data\npids\n*.pid\n*.seed\n*.pid.lock\n\n# Logs\nlogs\n*.log\nnpm-debug.log*\nyarn-debug.log*\nyarn-error.log*\nlerna-debug.log*\n\n# vim temporary files\n*~\n.*.sw?\n\n# Other Artifacts\nhs_err_pid*\n*.log\n*.swp\n*.swo\ntemp/*\n.DS_Store\n\n"
  },
  {
    "path": "CONTRIBUTING.md",
    "content": "<!-- markdownlint-disable MD024 -->\n# Contribution Guidelines\n\nThanks for your interest in contributing to our project. This page will give you a quick overview of how things are organized and, most importantly, how to get involved. Everyone is welcome to contribute, and we value everybody's contribution.\n\n## Table of contents\n\n1. [Add a project](#add-a-project)\n2. [Update a project](#update-a-project)\n3. [Improve metadata collection](#improve-metadata-collection)\n4. [Improve markdown generation](#improve-markdown-generation)\n5. [Create your own best-of list](#improve-markdown-generation)\n6. [Code of conduct](#code-of-conduct)\n\n## Add a project\n\nIf you like to suggest or add a project, choose one of the following ways:\n\n- Suggest a project by opening an issue: Please use the suggest project template from the [issue page](https://github.com/ml-tooling/best-of-ml-python/issues/new/choose) and fill in the requested information.\n- Add a project by modifying the [projects.yaml](https://github.com/ml-tooling/best-of-ml-python/blob/main/projects.yaml) and submitting a pull request with your addition. This can also be done directly via the [Github UI](https://github.com/ml-tooling/best-of-ml-python/edit/main/projects.yaml).\n\nBefore opening an issue or pull request, please ensure that you adhere to the following guidelines:\n\n- Please make sure that the project was not already added or suggested to this best-of list. You can ensure this by searching the projects.yaml, the Readme, and the issue list.\n- Add the project to the `projects.yaml` and never to the `README.md` file directly. Use the yaml format and the properties documented in the [project properties](#project-properties) section below to add a new project, for example:\n    ```yaml\n    - name: Tensorflow\n      github_id: tensorflow/tensorflow\n      pypi_id: tensorflow\n      conda_id: tensorflow\n      labels: [\"tensorflow\"]\n      category: ml-frameworks\n    ```\n- Please create an individual issue or pull request for each project.\n- Please use the following title format for the issue or pull request: `Add project: project-name`.\n- If a project doesn't fit into any of the pre-existing categories, it should go under the `Others` category by not assigning any category. You can also suggest a new category via the add or update category template on the [issue page](https://github.com/ml-tooling/best-of-ml-python/issues/new/choose).\n\n## Update a project\n\nIf you like to suggest or contribute a project update, choose one of the following ways:\n\n- Suggest a project update by opening an issue: Please use the update project template from the [issue page](https://github.com/ml-tooling/best-of-ml-python/issues/new/choose) and fill in the requested information.\n- Update a project by modifying the [projects.yaml](https://github.com/ml-tooling/best-of-ml-python/blob/main/projects.yaml) and submitting a pull request with your changes. This can also be done directly via the [Github UI](https://github.com/ml-tooling/best-of-ml-python/edit/main/projects.yaml).\n\nBefore opening an issue or pull request, please ensure that you adhere to the following guidelines:\n\n- Only update the project in the `projects.yaml` and never to the `README.md` file directly. Use the yaml format and the properties documented in the [project properties](#project-properties) section below to update a new project.\n- Please create an individual issue or pull request for each project.\n- Please use the following title format for the issue or pull request: `Update project: project-name`.\n\n## Project properties\n\n<table>\n    <tr>\n        <th>Property</th>\n        <th>Description</th>\n    </tr>\n    <tr>\n        <td><code>name</code></td>\n        <td>Name of the project. This name is required to be unique on the best-of list.</td>\n    </tr>\n    <tr>\n        <td><code>github_id</code></td>\n        <td>Github ID of the project based on user or organization and the repository name, e.g. <code>best-of-lists/best-of-generator</code>.</td>\n    </tr>\n    <tr>\n        <td colspan=\"2\"><b>Optional Properties:</b></td>\n    </tr>\n    <tr>\n        <td><code>category</code></td>\n        <td>Category that this project is most related to. You can find all available category IDs in the <code>projects.yaml</code> file. The project will be sorted into the <code>Others</code> category if no category is provided.</td>\n    </tr>\n    <tr>\n        <td><code>labels</code></td>\n        <td>List of labels that this project is related to. You can find all available label IDs in the <code>projects.yaml</code> file.</td>\n    </tr>\n    <tr>\n        <td colspan=\"2\"><b>Supported Package Managers:</b></td>\n    </tr>\n    <tr>\n        <td><code>pypi_id</code></td>\n        <td>Project ID on the python package index (<a href=\"https://pypi.org\">PyPi</a>).</td>\n    </tr>\n    <tr>\n        <td><code>conda_id</code></td>\n        <td>Project ID on the <a href=\"https://anaconda.org\">conda package manager</a>. If the main package is provided on a different channel, prefix the ID with the given channel: e.g. <code>conda-forge/tensorflow</code></td>\n    </tr>\n    <tr>\n        <td><code>npm_id</code></td>\n        <td>Project ID on the Node package manager (<a href=\"https://www.npmjs.com\">npm</a>).</td>\n    </tr>\n    <tr>\n        <td><code>dockerhub_id</code></td>\n        <td>Project ID on the <a href=\"https://hub.docker.com\">Docker Hub container registry</a>. </td>\n    </tr>\n    <tr>\n        <td><code>maven_id</code></td>\n        <td>Artifact ID on <a href=\"https://mvnrepository.com\">Maven central</a>, e.g. <code>org.apache.flink:flink-core</code>. </td>\n    </tr>\n</table>\n\nPlease refer to the [best-of-generator documentation](https://github.com/best-of-lists/best-of-generator#project-properties) for a complete and up-to-date list of supported project properties.\n\n## Improve metadata collection\n\nIf you like to contribute to or share suggestions regarding the project metadata collection, please refer to the [best-of-generator](https://github.com/best-of-lists/best-of-generator) repository.\n\n## Improve markdown generation\n\nIf you like to contribute to or share suggestions regarding the markdown generation, please refer to the [best-of-generator](https://github.com/best-of-lists/best-of-generator) repository.\n\n## Create your own best-of list\n\nIf you want to create your own best-of list, we strongly recommend to follow [this guide](https://github.com/best-of-lists/best-of/blob/main/create-best-of-list.md). With this guide, it will only take about 3 minutes to get you started. It is already set-up to automatically run the best-of generator via our Github Action and includes other useful template files.\n\n## Code of Conduct\n\nAll members of the project community must abide by the [Contributor Covenant, version 2.0](./.github/CODE_OF_CONDUCT.md). Only by respecting each other we can develop a productive, collaborative community. Instances of abusive, harassing, or otherwise unacceptable behavior may be reported by contacting a project maintainer.\n"
  },
  {
    "path": "LICENSE",
    "content": "Attribution-ShareAlike 4.0 International\n\n=======================================================================\n\nCreative Commons Corporation (\"Creative Commons\") is not a law firm and\ndoes not provide legal services or legal advice. Distribution of\nCreative Commons public licenses does not create a lawyer-client or\nother relationship. Creative Commons makes its licenses and related\ninformation available on an \"as-is\" basis. Creative Commons gives no\nwarranties regarding its licenses, any material licensed under their\nterms and conditions, or any related information. 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  },
  {
    "path": "README.md",
    "content": "<!-- markdownlint-disable -->\n<h1 align=\"center\">\n    Best-of Machine Learning with Python\n    <br>\n</h1>\n\n<p align=\"center\">\n    <strong>🏆&nbsp; A ranked list of awesome machine learning Python libraries. Updated weekly.</strong>\n</p>\n\n<p align=\"center\">\n    <a href=\"https://github.com/ml-tooling/best-of\" title=\"Best-of-badge\"><img src=\"http://bit.ly/3o3EHNN\"></a>\n    <a href=\"#Contents\" title=\"Project Count\"><img src=\"https://img.shields.io/badge/projects-920-blue.svg?color=5ac4bf\"></a>\n    <a href=\"#Contribution\" title=\"Contributions are welcome\"><img src=\"https://img.shields.io/badge/contributions-welcome-green.svg\"></a>\n    <a href=\"https://github.com/ml-tooling/best-of-ml-python/releases\" title=\"Best-of Updates\"><img src=\"https://img.shields.io/github/release-date/ml-tooling/best-of-ml-python?color=green&label=updated\"></a>\n    <a href=\"https://mltooling.substack.com/subscribe\" title=\"Subscribe to newsletter\"><img src=\"http://bit.ly/2Md9rxM\"></a>\n    <a href=\"https://twitter.com/mltooling\" title=\"Follow on Twitter\"><img src=\"https://img.shields.io/twitter/follow/mltooling.svg?style=social&label=Follow\"></a>\n</p>\n\nThis curated list contains 920 awesome open-source projects with a total of 5.1M stars grouped into 34 categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from GitHub and different package managers. If you like to add or update projects, feel free to open an [issue](https://github.com/ml-tooling/best-of-ml-python/issues/new/choose), submit a [pull request](https://github.com/ml-tooling/best-of-ml-python/pulls), or directly edit the [projects.yaml](https://github.com/ml-tooling/best-of-ml-python/edit/main/projects.yaml). Contributions are very welcome!\n\n---\n\n<p align=\"center\">\n     🧙‍♂️&nbsp; Discover other <a href=\"https://best-of.org\">best-of lists</a> or create <a href=\"https://github.com/best-of-lists/best-of/blob/main/create-best-of-list.md\">your own</a>.<br>\n    📫&nbsp; Subscribe to our <a href=\"https://mltooling.substack.com/subscribe\">newsletter</a> for updates and trending projects.\n</p>\n\n---\n\n\n## Contents\n\n- [Machine Learning Frameworks](#machine-learning-frameworks) _64 projects_\n- [Data Visualization](#data-visualization) _55 projects_\n- [Text Data & NLP](#text-data--nlp) _103 projects_\n- [Image Data](#image-data) _64 projects_\n- [Graph Data](#graph-data) _36 projects_\n- [Audio Data](#audio-data) _29 projects_\n- [Geospatial Data](#geospatial-data) _22 projects_\n- [Financial Data](#financial-data) _25 projects_\n- [Time Series Data](#time-series-data) _29 projects_\n- [Medical Data](#medical-data) _19 projects_\n- [Tabular Data](#tabular-data) _6 projects_\n- [Optical Character Recognition](#optical-character-recognition) _12 projects_\n- [Data Containers & Structures](#data-containers--structures) _1 projects_\n- [Data Loading & Extraction](#data-loading--extraction) _1 projects_\n- [Web Scraping & Crawling](#web-scraping--crawling) _1 projects_\n- [Data Pipelines & Streaming](#data-pipelines--streaming) _2 projects_\n- [Distributed Machine Learning](#distributed-machine-learning) _36 projects_\n- [Hyperparameter Optimization & AutoML](#hyperparameter-optimization--automl) _52 projects_\n- [Reinforcement Learning](#reinforcement-learning) _23 projects_\n- [Recommender Systems](#recommender-systems) _17 projects_\n- [Privacy Machine Learning](#privacy-machine-learning) _7 projects_\n- [Workflow & Experiment Tracking](#workflow--experiment-tracking) _40 projects_\n- [Model Serialization & Deployment](#model-serialization--deployment) _20 projects_\n- [Model Interpretability](#model-interpretability) _55 projects_\n- [Vector Similarity Search (ANN)](#vector-similarity-search-ann) _13 projects_\n- [Probabilistics & Statistics](#probabilistics--statistics) _24 projects_\n- [Adversarial Robustness](#adversarial-robustness) _9 projects_\n- [GPU & Accelerator Utilities](#gpu--accelerator-utilities) _20 projects_\n- [Tensorflow Utilities](#tensorflow-utilities) _16 projects_\n- [Jax Utilities](#jax-utilities) _3 projects_\n- [Sklearn Utilities](#sklearn-utilities) _19 projects_\n- [Pytorch Utilities](#pytorch-utilities) _32 projects_\n- [Database Clients](#database-clients) _1 projects_\n- [Others](#others) _66 projects_\n\n## Explanation\n- 🥇🥈🥉&nbsp; Combined project-quality score\n- ⭐️&nbsp; Star count from GitHub\n- 🐣&nbsp; New project _(less than 6 months old)_\n- 💤&nbsp; Inactive project _(6 months no activity)_\n- 💀&nbsp; Dead project _(12 months no activity)_\n- 📈📉&nbsp; Project is trending up or down\n- ➕&nbsp; Project was recently added\n- ❗️&nbsp; Warning _(e.g. missing/risky license)_\n- 👨‍💻&nbsp; Contributors count from GitHub\n- 🔀&nbsp; Fork count from GitHub\n- 📋&nbsp; Issue count from GitHub\n- ⏱️&nbsp; Last update timestamp on package manager\n- 📥&nbsp; Download count from package manager\n- 📦&nbsp; Number of dependent projects\n- <img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\">&nbsp; Tensorflow related project\n- <img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\">&nbsp; Sklearn related project\n- <img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\">&nbsp; PyTorch related project\n- <img src=\"https://git.io/JLy1X\" style=\"display:inline;\" width=\"13\" height=\"13\">&nbsp; MxNet related project\n- <img src=\"https://git.io/JLy1N\" style=\"display:inline;\" width=\"13\" height=\"13\">&nbsp; Apache Spark related project\n- <img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\">&nbsp; Jupyter related project\n- <img src=\"https://git.io/JLy1M\" style=\"display:inline;\" width=\"13\" height=\"13\">&nbsp; PaddlePaddle related project\n- <img src=\"https://git.io/JLy1S\" style=\"display:inline;\" width=\"13\" height=\"13\">&nbsp; Pandas related project\n- <img src=\"https://jax.readthedocs.io/en/latest/_static/favicon.png\" style=\"display:inline;\" width=\"13\" height=\"13\">&nbsp; Jax related project\n\n<br>\n\n## Machine Learning Frameworks\n\n<a href=\"#contents\"><img align=\"right\" width=\"15\" height=\"15\" src=\"https://git.io/JtehR\" alt=\"Back to top\"></a>\n\n_General-purpose machine learning and deep learning frameworks._\n\n<details><summary><b><a href=\"https://github.com/tensorflow/tensorflow\">Tensorflow</a></b> (🥇56 ·  ⭐ 200K) - An Open Source Machine Learning Framework for Everyone. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/tensorflow/tensorflow) (👨‍💻 5K · 🔀 75K · 📦 540K · 📋 42K - 4% open · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https://github.com/tensorflow/tensorflow\n\t```\n- [PyPi](https://pypi.org/project/tensorflow) (📥 26M / month · 📦 9.6K · ⏱️ 13.08.2025):\n\t```\n\tpip install tensorflow\n\t```\n- [Conda](https://anaconda.org/conda-forge/tensorflow) (📥 6M · ⏱️ 27.10.2025):\n\t```\n\tconda install -c conda-forge tensorflow\n\t```\n- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (📥 81M · ⭐ 2.8K · ⏱️ 30.10.2025):\n\t```\n\tdocker pull tensorflow/tensorflow\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/pytorch/pytorch\">PyTorch</a></b> (🥇56 ·  ⭐ 94K) - Tensors and Dynamic neural networks in Python with strong GPU.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/pytorch/pytorch) (👨‍💻 6K · 🔀 26K · 📥 110K · 📦 830K · 📋 56K - 30% open · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https://github.com/pytorch/pytorch\n\t```\n- [PyPi](https://pypi.org/project/torch) (📥 70M / month · 📦 30K · ⏱️ 15.10.2025):\n\t```\n\tpip install torch\n\t```\n- [Conda](https://anaconda.org/pytorch/pytorch) (📥 29M · ⏱️ 25.03.2025):\n\t```\n\tconda install -c pytorch pytorch\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/scikit-learn/scikit-learn\">scikit-learn</a></b> (🥇53 ·  ⭐ 64K) - scikit-learn: machine learning in Python. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/scikit-learn/scikit-learn) (👨‍💻 3.4K · 🔀 26K · 📥 1.1K · 📦 1.3M · 📋 12K - 17% open · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https://github.com/scikit-learn/scikit-learn\n\t```\n- [PyPi](https://pypi.org/project/scikit-learn) (📥 140M / month · 📦 35K · ⏱️ 09.09.2025):\n\t```\n\tpip install scikit-learn\n\t```\n- [Conda](https://anaconda.org/conda-forge/scikit-learn) (📥 40M · ⏱️ 09.09.2025):\n\t```\n\tconda install -c conda-forge scikit-learn\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/keras-team/keras\">Keras</a></b> (🥇50 ·  ⭐ 64K) - Deep Learning for humans. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/keras-team/keras) (👨‍💻 1.4K · 🔀 20K · 📦 300K · 📋 13K - 2% open · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https://github.com/keras-team/keras\n\t```\n- [PyPi](https://pypi.org/project/keras) (📥 19M / month · 📦 2K · ⏱️ 27.10.2025):\n\t```\n\tpip install keras\n\t```\n- [Conda](https://anaconda.org/conda-forge/keras) (📥 4.5M · ⏱️ 28.10.2025):\n\t```\n\tconda install -c conda-forge keras\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/dmlc/xgboost\">XGBoost</a></b> (🥇46 ·  ⭐ 28K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/dmlc/xgboost) (👨‍💻 670 · 🔀 8.8K · 📥 20K · 📦 170K · 📋 5.6K - 8% open · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https://github.com/dmlc/xgboost\n\t```\n- [PyPi](https://pypi.org/project/xgboost) (📥 31M / month · 📦 2.9K · ⏱️ 21.10.2025):\n\t```\n\tpip install xgboost\n\t```\n- [Conda](https://anaconda.org/conda-forge/xgboost) (📥 6.6M · ⏱️ 16.09.2025):\n\t```\n\tconda install -c conda-forge xgboost\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/PaddlePaddle/Paddle\">PaddlePaddle</a></b> (🥇46 ·  ⭐ 23K) - PArallel Distributed Deep LEarning: Machine Learning.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1M\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/PaddlePaddle/Paddle) (👨‍💻 1.5K · 🔀 5.9K · 📥 15K · 📦 8.8K · 📋 20K - 8% open · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https://github.com/PaddlePaddle/Paddle\n\t```\n- [PyPi](https://pypi.org/project/paddlepaddle) (📥 1.6M / month · 📦 280 · ⏱️ 30.10.2025):\n\t```\n\tpip install paddlepaddle\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/jax-ml/jax\">jax</a></b> (🥇45 ·  ⭐ 34K) - Composable transformations of Python+NumPy programs: differentiate,.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/jax-ml/jax) (👨‍💻 980 · 🔀 3.2K · 📦 47K · 📋 6.6K - 24% open · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https://github.com/google/jax\n\t```\n- [PyPi](https://pypi.org/project/jax) (📥 12M / month · 📦 3.1K · ⏱️ 15.10.2025):\n\t```\n\tpip install jax\n\t```\n- [Conda](https://anaconda.org/conda-forge/jaxlib) (📥 3.2M · ⏱️ 06.10.2025):\n\t```\n\tconda install -c conda-forge jaxlib\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/Lightning-AI/pytorch-lightning\">pytorch-lightning</a></b> (🥇45 ·  ⭐ 30K) - Pretrain, finetune ANY AI model of ANY size on 1 or.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (👨‍💻 1K · 🔀 3.6K · 📥 15K · 📦 48K · 📋 7.4K - 11% open · ⏱️ 29.10.2025):\n\n\t```\n\tgit clone https://github.com/Lightning-AI/lightning\n\t```\n- [PyPi](https://pypi.org/project/pytorch-lightning) (📥 9.8M / month · 📦 1.8K · ⏱️ 05.09.2025):\n\t```\n\tpip install pytorch-lightning\n\t```\n- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (📥 1.7M · ⏱️ 05.09.2025):\n\t```\n\tconda install -c conda-forge pytorch-lightning\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/statsmodels/statsmodels\">StatsModels</a></b> (🥇45 ·  ⭐ 11K) - Statsmodels: statistical modeling and econometrics in Python. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code></summary>\n\n- [GitHub](https://github.com/statsmodels/statsmodels) (👨‍💻 470 · 🔀 3.3K · 📥 36 · 📦 180K · 📋 5.8K - 50% open · ⏱️ 22.10.2025):\n\n\t```\n\tgit clone https://github.com/statsmodels/statsmodels\n\t```\n- [PyPi](https://pypi.org/project/statsmodels) (📥 24M / month · 📦 5.6K · ⏱️ 07.07.2025):\n\t```\n\tpip install statsmodels\n\t```\n- [Conda](https://anaconda.org/conda-forge/statsmodels) (📥 22M · ⏱️ 01.10.2025):\n\t```\n\tconda install -c conda-forge statsmodels\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/apache/spark\">PySpark</a></b> (🥈44 ·  ⭐ 42K) - Apache Spark Python API. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1N\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/apache/spark) (👨‍💻 3.3K · 🔀 29K · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https://github.com/apache/spark\n\t```\n- [PyPi](https://pypi.org/project/pyspark) (📥 47M / month · 📦 2.1K · ⏱️ 30.10.2025):\n\t```\n\tpip install pyspark\n\t```\n- [Conda](https://anaconda.org/conda-forge/pyspark) (📥 4.2M · ⏱️ 08.09.2025):\n\t```\n\tconda install -c conda-forge pyspark\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/microsoft/LightGBM\">LightGBM</a></b> (🥈42 ·  ⭐ 18K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/microsoft/LightGBM) (👨‍💻 330 · 🔀 3.9K · 📥 310K · 📦 56K · 📋 3.6K - 12% open · ⏱️ 28.10.2025):\n\n\t```\n\tgit clone https://github.com/microsoft/LightGBM\n\t```\n- [PyPi](https://pypi.org/project/lightgbm) (📥 11M / month · 📦 1.6K · ⏱️ 15.02.2025):\n\t```\n\tpip install lightgbm\n\t```\n- [Conda](https://anaconda.org/conda-forge/lightgbm) (📥 4.1M · ⏱️ 20.10.2025):\n\t```\n\tconda install -c conda-forge lightgbm\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/catboost/catboost\">Catboost</a></b> (🥈42 ·  ⭐ 8.6K) - A fast, scalable, high performance Gradient Boosting on Decision.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/catboost/catboost) (👨‍💻 1.4K · 🔀 1.2K · 📥 460K · 📦 19 · 📋 2.5K - 25% open · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https://github.com/catboost/catboost\n\t```\n- [PyPi](https://pypi.org/project/catboost) (📥 5.1M / month · 📦 650 · ⏱️ 13.04.2025):\n\t```\n\tpip install catboost\n\t```\n- [Conda](https://anaconda.org/conda-forge/catboost) (📥 2.2M · ⏱️ 09.08.2025):\n\t```\n\tconda install -c conda-forge catboost\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/fastai/fastai\">Fastai</a></b> (🥈41 ·  ⭐ 28K) - The fastai deep learning library. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/fastai/fastai) (👨‍💻 680 · 🔀 7.6K · 📦 23K · 📋 1.9K - 14% open · ⏱️ 26.10.2025):\n\n\t```\n\tgit clone https://github.com/fastai/fastai\n\t```\n- [PyPi](https://pypi.org/project/fastai) (📥 640K / month · 📦 340 · ⏱️ 26.10.2025):\n\t```\n\tpip install fastai\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/apache/flink\">PyFlink</a></b> (🥈39 ·  ⭐ 25K) - Apache Flink Python API. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/apache/flink) (👨‍💻 2.1K · 🔀 14K · 📦 21 · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https://github.com/apache/flink\n\t```\n- [PyPi](https://pypi.org/project/apache-flink) (📥 450K / month · 📦 38 · ⏱️ 28.10.2025):\n\t```\n\tpip install apache-flink\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/google/flax\">Flax</a></b> (🥈38 ·  ⭐ 6.9K) - Flax is a neural network library for JAX that is designed for.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://jax.readthedocs.io/en/latest/_static/favicon.png\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/google/flax) (👨‍💻 280 · 🔀 740 · 📥 61 · 📦 15K · 📋 1.3K - 33% open · ⏱️ 27.10.2025):\n\n\t```\n\tgit clone https://github.com/google/flax\n\t```\n- [PyPi](https://pypi.org/project/flax) (📥 2M / month · 📦 740 · ⏱️ 25.09.2025):\n\t```\n\tpip install flax\n\t```\n- [Conda](https://anaconda.org/conda-forge/flax) (📥 130K · ⏱️ 27.10.2025):\n\t```\n\tconda install -c conda-forge flax\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/pytorch/ignite\">Ignite</a></b> (🥈36 ·  ⭐ 4.7K) - High-level library to help with training and evaluating neural.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/pytorch/ignite) (👨‍💻 1K · 🔀 660 · 📦 3.9K · 📋 1.4K - 10% open · ⏱️ 16.10.2025):\n\n\t```\n\tgit clone https://github.com/pytorch/ignite\n\t```\n- [PyPi](https://pypi.org/project/pytorch-ignite) (📥 170K / month · 📦 120 · ⏱️ 30.10.2025):\n\t```\n\tpip install pytorch-ignite\n\t```\n- [Conda](https://anaconda.org/pytorch/ignite) (📥 250K · ⏱️ 16.10.2025):\n\t```\n\tconda install -c pytorch ignite\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/arogozhnikov/einops\">einops</a></b> (🥈35 ·  ⭐ 9.2K) - Flexible and powerful tensor operations for readable and reliable code.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/arogozhnikov/einops) (👨‍💻 34 · 🔀 380 · 📦 82K · 📋 200 - 17% open · ⏱️ 12.08.2025):\n\n\t```\n\tgit clone https://github.com/arogozhnikov/einops\n\t```\n- [PyPi](https://pypi.org/project/einops) (📥 15M / month · 📦 2.6K · ⏱️ 09.02.2025):\n\t```\n\tpip install einops\n\t```\n- [Conda](https://anaconda.org/conda-forge/einops) (📥 470K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge einops\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/ivy-llc/ivy\">ivy</a></b> (🥈34 ·  ⭐ 14K) - Convert Machine Learning Code Between Frameworks. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/ivy-llc/ivy) (👨‍💻 1.5K · 🔀 5.6K · 📋 17K - 5% open · ⏱️ 10.10.2025):\n\n\t```\n\tgit clone https://github.com/unifyai/ivy\n\t```\n- [PyPi](https://pypi.org/project/ivy) (📥 33K / month · 📦 16 · ⏱️ 16.06.2025):\n\t```\n\tpip install ivy\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/jina-ai/serve\">Jina</a></b> (🥈33 ·  ⭐ 22K · 💤) - Build multimodal AI applications with cloud-native stack. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/jina-ai/serve) (👨‍💻 180 · 🔀 2.2K · ⏱️ 24.03.2025):\n\n\t```\n\tgit clone https://github.com/jina-ai/jina\n\t```\n- [PyPi](https://pypi.org/project/jina) (📥 120K / month · 📦 29 · ⏱️ 24.03.2025):\n\t```\n\tpip install jina\n\t```\n- [Conda](https://anaconda.org/conda-forge/jina-core) (📥 110K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge jina-core\n\t```\n- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (📥 1.8M · ⭐ 9 · ⏱️ 24.03.2025):\n\t```\n\tdocker pull jinaai/jina\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/mlpack/mlpack\">mlpack</a></b> (🥈33 ·  ⭐ 5.5K) - mlpack: a fast, header-only C++ machine learning library. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code></summary>\n\n- [GitHub](https://github.com/mlpack/mlpack) (👨‍💻 340 · 🔀 1.7K · 📋 1.7K - 1% open · ⏱️ 27.10.2025):\n\n\t```\n\tgit clone https://github.com/mlpack/mlpack\n\t```\n- [PyPi](https://pypi.org/project/mlpack) (📥 4.7K / month · 📦 6 · ⏱️ 22.05.2025):\n\t```\n\tpip install mlpack\n\t```\n- [Conda](https://anaconda.org/conda-forge/mlpack) (📥 410K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge mlpack\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/explosion/thinc\">Thinc</a></b> (🥈33 ·  ⭐ 2.9K · 💤) - A refreshing functional take on deep learning, compatible with your.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/explosion/thinc) (👨‍💻 67 · 🔀 280 · 📥 2K · 📦 70K · 📋 160 - 14% open · ⏱️ 07.03.2025):\n\n\t```\n\tgit clone https://github.com/explosion/thinc\n\t```\n- [PyPi](https://pypi.org/project/thinc) (📥 17M / month · 📦 160 · ⏱️ 04.04.2025):\n\t```\n\tpip install thinc\n\t```\n- [Conda](https://anaconda.org/conda-forge/thinc) (📥 3.9M · ⏱️ 06.07.2025):\n\t```\n\tconda install -c conda-forge thinc\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/ludwig-ai/ludwig\">Ludwig</a></b> (🥉32 ·  ⭐ 12K · 💤) - Low-code framework for building custom LLMs, neural networks,.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/ludwig-ai/ludwig) (👨‍💻 160 · 🔀 1.2K · 📦 340 · 📋 1.1K - 4% open · ⏱️ 17.10.2024):\n\n\t```\n\tgit clone https://github.com/ludwig-ai/ludwig\n\t```\n- [PyPi](https://pypi.org/project/ludwig) (📥 3.8K / month · 📦 6 · ⏱️ 30.07.2024):\n\t```\n\tpip install ludwig\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/skorch-dev/skorch\">skorch</a></b> (🥉32 ·  ⭐ 6.1K) - A scikit-learn compatible neural network library that wraps.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/skorch-dev/skorch) (👨‍💻 68 · 🔀 400 · 📦 1.7K · 📋 540 - 12% open · ⏱️ 23.10.2025):\n\n\t```\n\tgit clone https://github.com/skorch-dev/skorch\n\t```\n- [PyPi](https://pypi.org/project/skorch) (📥 150K / month · 📦 110 · ⏱️ 08.08.2025):\n\t```\n\tpip install skorch\n\t```\n- [Conda](https://anaconda.org/conda-forge/skorch) (📥 810K · ⏱️ 08.08.2025):\n\t```\n\tconda install -c conda-forge skorch\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/google-deepmind/sonnet\">Sonnet</a></b> (🥉31 ·  ⭐ 9.9K) - TensorFlow-based neural network library. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/google-deepmind/sonnet) (👨‍💻 61 · 🔀 1.3K · 📦 1.5K · 📋 190 - 16% open · ⏱️ 04.08.2025):\n\n\t```\n\tgit clone https://github.com/deepmind/sonnet\n\t```\n- [PyPi](https://pypi.org/project/dm-sonnet) (📥 35K / month · 📦 19 · ⏱️ 02.01.2024):\n\t```\n\tpip install dm-sonnet\n\t```\n- [Conda](https://anaconda.org/conda-forge/sonnet) (📥 47K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge sonnet\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/google-deepmind/dm-haiku\">Haiku</a></b> (🥉31 ·  ⭐ 3.1K · 📉) - JAX-based neural network library. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/google-deepmind/dm-haiku) (👨‍💻 90 · 🔀 260 · 📦 2.6K · 📋 250 - 29% open · ⏱️ 29.09.2025):\n\n\t```\n\tgit clone https://github.com/deepmind/dm-haiku\n\t```\n- [PyPi](https://pypi.org/project/dm-haiku) (📥 260K / month · 📦 200 · ⏱️ 18.09.2025):\n\t```\n\tpip install dm-haiku\n\t```\n- [Conda](https://anaconda.org/conda-forge/dm-haiku) (📥 44K · ⏱️ 19.09.2025):\n\t```\n\tconda install -c conda-forge dm-haiku\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/ROCm/tensorflow-upstream\">tensorflow-upstream</a></b> (🥉31 ·  ⭐ 700) - TensorFlow ROCm port. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/ROCm/tensorflow-upstream) (👨‍💻 5K · 🔀 100 · 📥 31 · 📋 400 - 3% open · ⏱️ 29.10.2025):\n\n\t```\n\tgit clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream\n\t```\n- [PyPi](https://pypi.org/project/tensorflow-rocm) (📥 1.7K / month · 📦 9 · ⏱️ 10.01.2024):\n\t```\n\tpip install tensorflow-rocm\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/geomstats/geomstats\">Geomstats</a></b> (🥉30 ·  ⭐ 1.4K) - Computations and statistics on manifolds with geometric structures. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/geomstats/geomstats) (👨‍💻 97 · 🔀 260 · 📦 150 · 📋 570 - 36% open · ⏱️ 06.10.2025):\n\n\t```\n\tgit clone https://github.com/geomstats/geomstats\n\t```\n- [PyPi](https://pypi.org/project/geomstats) (📥 15K / month · 📦 12 · ⏱️ 09.09.2024):\n\t```\n\tpip install geomstats\n\t```\n- [Conda](https://anaconda.org/conda-forge/geomstats) (📥 8.2K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge geomstats\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/pyRiemann/pyRiemann\">pyRiemann</a></b> (🥉28 ·  ⭐ 700) - Machine learning for multivariate data through the Riemannian.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/pyRiemann/pyRiemann) (👨‍💻 38 · 🔀 170 · 📦 480 · 📋 110 - 2% open · ⏱️ 29.10.2025):\n\n\t```\n\tgit clone https://github.com/pyRiemann/pyRiemann\n\t```\n- [PyPi](https://pypi.org/project/pyriemann) (📥 75K / month · 📦 31 · ⏱️ 23.07.2025):\n\t```\n\tpip install pyriemann\n\t```\n- [Conda](https://anaconda.org/conda-forge/pyriemann) (📥 16K · ⏱️ 23.07.2025):\n\t```\n\tconda install -c conda-forge pyriemann\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/numenta/nupic-legacy\">NuPIC</a></b> (🥉27 ·  ⭐ 6.4K · 💤) - Numenta Platform for Intelligent Computing is an implementation of.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/numenta/nupic-legacy) (👨‍💻 120 · 🔀 1.5K · 📥 26 · 📦 21 · 📋 1.8K - 25% open · ⏱️ 03.12.2024):\n\n\t```\n\tgit clone https://github.com/numenta/nupic\n\t```\n- [PyPi](https://pypi.org/project/nupic) (📥 510 / month · ⏱️ 01.09.2016):\n\t```\n\tpip install nupic\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/determined-ai/determined\">Determined</a></b> (🥉26 ·  ⭐ 3.2K · 💤) - Determined is an open-source machine learning.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/determined-ai/determined) (👨‍💻 120 · 🔀 360 · 📥 7.8K · 📋 450 - 22% open · ⏱️ 20.03.2025):\n\n\t```\n\tgit clone https://github.com/determined-ai/determined\n\t```\n- [PyPi](https://pypi.org/project/determined) (📥 33K / month · 📦 4 · ⏱️ 19.03.2025):\n\t```\n\tpip install determined\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/sony/nnabla\">Neural Network Libraries</a></b> (🥉26 ·  ⭐ 2.8K) - Neural Network Libraries. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/sony/nnabla) (👨‍💻 76 · 🔀 340 · 📥 1K · 📋 95 - 36% open · ⏱️ 29.08.2025):\n\n\t```\n\tgit clone https://github.com/sony/nnabla\n\t```\n- [PyPi](https://pypi.org/project/nnabla) (📥 1.6K / month · 📦 44 · ⏱️ 29.05.2024):\n\t```\n\tpip install nnabla\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/deepinv/deepinv\">deepinv</a></b> (🥉26 ·  ⭐ 540) - DeepInverse: a PyTorch library for solving imaging inverse problems.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code></summary>\n\n- [GitHub](https://github.com/deepinv/deepinv) (👨‍💻 53 · 🔀 120 · 📥 24 · 📦 23 · 📋 350 - 33% open · ⏱️ 29.10.2025):\n\n\t```\n\tgit clone https://github.com/deepinv/deepinv\n\t```\n- [PyPi](https://pypi.org/project/deepinv) (📥 2.4K / month · ⏱️ 08.10.2025):\n\t```\n\tpip install deepinv\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/towhee-io/towhee\">Towhee</a></b> (🥉23 ·  ⭐ 3.4K · 💤) - Towhee is a framework that is dedicated to making neural data.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/towhee-io/towhee) (👨‍💻 38 · 🔀 260 · 📥 2.7K · 📋 670 - 0% open · ⏱️ 18.10.2024):\n\n\t```\n\tgit clone https://github.com/towhee-io/towhee\n\t```\n- [PyPi](https://pypi.org/project/towhee) (📥 1.3K / month · ⏱️ 04.12.2023):\n\t```\n\tpip install towhee\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/nubank/fklearn\">fklearn</a></b> (🥉22 ·  ⭐ 1.5K) - fklearn: Functional Machine Learning. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/nubank/fklearn) (👨‍💻 56 · 🔀 170 · 📦 16 · 📋 64 - 60% open · ⏱️ 23.04.2025):\n\n\t```\n\tgit clone https://github.com/nubank/fklearn\n\t```\n- [PyPi](https://pypi.org/project/fklearn) (📥 750 / month · ⏱️ 26.02.2025):\n\t```\n\tpip install fklearn\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/run-house/kubetorch\">Runhouse</a></b> (🥉21 ·  ⭐ 1.1K) - Distribute and run AI workloads magically in Python, like PyTorch.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/run-house/kubetorch) (👨‍💻 16 · 🔀 41 · 📥 79 · ⏱️ 29.10.2025):\n\n\t```\n\tgit clone https://github.com/run-house/runhouse\n\t```\n- [PyPi](https://pypi.org/project/runhouse) (📥 4.5K / month · 📦 1 · ⏱️ 10.03.2025):\n\t```\n\tpip install runhouse\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/neoml-lib/neoml\">NeoML</a></b> (🥉19 ·  ⭐ 790) - Machine learning framework for both deep learning and traditional.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/neoml-lib/neoml) (👨‍💻 41 · 🔀 130 · 📦 2 · 📋 91 - 40% open · ⏱️ 28.10.2025):\n\n\t```\n\tgit clone https://github.com/neoml-lib/neoml\n\t```\n- [PyPi](https://pypi.org/project/neoml) (📥 190 / month · ⏱️ 26.12.2023):\n\t```\n\tpip install neoml\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/serengil/chefboost\">chefboost</a></b> (🥉19 ·  ⭐ 480) - A Lightweight Decision Tree Framework supporting regular algorithms:.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/serengil/chefboost) (👨‍💻 7 · 🔀 100 · 📦 72 · ⏱️ 09.07.2025):\n\n\t```\n\tgit clone https://github.com/serengil/chefboost\n\t```\n- [PyPi](https://pypi.org/project/chefboost) (📥 770 / month · ⏱️ 30.10.2024):\n\t```\n\tpip install chefboost\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/Xtra-Computing/thundergbm\">ThunderGBM</a></b> (🥉18 ·  ⭐ 710 · 💤) - ThunderGBM: Fast GBDTs and Random Forests on GPUs. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/Xtra-Computing/thundergbm) (👨‍💻 12 · 🔀 88 · 📦 4 · 📋 81 - 48% open · ⏱️ 19.03.2025):\n\n\t```\n\tgit clone https://github.com/Xtra-Computing/thundergbm\n\t```\n- [PyPi](https://pypi.org/project/thundergbm) (📥 220 / month · ⏱️ 19.09.2022):\n\t```\n\tpip install thundergbm\n\t```\n</details>\n<details><summary>Show 26 hidden projects...</summary>\n\n- <b><a href=\"https://github.com/davisking/dlib\">dlib</a></b> (🥈40 ·  ⭐ 14K) - A toolkit for making real world machine learning and data analysis.. <code><a href=\"https://tldrlegal.com/search?q=BSL-1.0\">❗️BSL-1.0</a></code>\n- <b><a href=\"https://github.com/apache/mxnet\">MXNet</a></b> (🥈38 ·  ⭐ 21K · 💀) - Lightweight, Portable, Flexible Distributed/Mobile Deep.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1X\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/Theano/Theano\">Theano</a></b> (🥈37 ·  ⭐ 10K · 💀) - Theano was a Python library that allows you to define, optimize, and.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/mindsdb/mindsdb\">MindsDB</a></b> (🥈33 ·  ⭐ 37K) - Federated query engine for AI - The only MCP Server youll ever need. <code><a href=\"https://tldrlegal.com/search?q=ICU\">❗️ICU</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/VowpalWabbit/vowpal_wabbit\">Vowpal Wabbit</a></b> (🥈33 ·  ⭐ 8.6K · 💀) - Vowpal Wabbit is a machine learning system which pushes the.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/chainer/chainer\">Chainer</a></b> (🥈33 ·  ⭐ 5.9K · 💀) - A flexible framework of neural networks for deep learning. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/apple/turicreate\">Turi Create</a></b> (🥉32 ·  ⭐ 11K · 💀) - Turi Create simplifies the development of custom machine.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/tensorpack/tensorpack\">tensorpack</a></b> (🥉32 ·  ⭐ 6.3K · 💀) - A Neural Net Training Interface on TensorFlow, with.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/tflearn/tflearn\">TFlearn</a></b> (🥉31 ·  ⭐ 9.6K · 💀) - Deep learning library featuring a higher-level API for TensorFlow. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/clab/dynet\">dyNET</a></b> (🥉31 ·  ⭐ 3.4K · 💀) - DyNet: The Dynamic Neural Network Toolkit. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/microsoft/CNTK\">CNTK</a></b> (🥉29 ·  ⭐ 18K · 💀) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/Lasagne/Lasagne\">Lasagne</a></b> (🥉28 ·  ⭐ 3.9K · 💀) - Lightweight library to build and train neural networks in Theano. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/shogun-toolbox/shogun\">SHOGUN</a></b> (🥉26 ·  ⭐ 3.1K · 💀) - Unified and efficient Machine Learning. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/amaiya/ktrain\">ktrain</a></b> (🥉26 ·  ⭐ 1.3K · 💀) - ktrain is a Python library that makes deep learning and AI.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/itdxer/neupy\">NeuPy</a></b> (🥉25 ·  ⭐ 740 · 💀) - NeuPy is a Tensorflow based python library for prototyping and building.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/aksnzhy/xlearn\">xLearn</a></b> (🥉24 ·  ⭐ 3.1K · 💀) - High performance, easy-to-use, and scalable machine learning (ML).. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/georgia-tech-db/evadb\">EvaDB</a></b> (🥉24 ·  ⭐ 2.7K · 💀) - Database system for AI-powered apps. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/NervanaSystems/neon\">neon</a></b> (🥉22 ·  ⭐ 3.9K · 💀) - Intel Nervana reference deep learning framework committed to best.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/Xtra-Computing/thundersvm\">ThunderSVM</a></b> (🥉22 ·  ⭐ 1.6K · 💀) - ThunderSVM: A Fast SVM Library on GPUs and CPUs. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/pytorchbearer/torchbearer\">Torchbearer</a></b> (🥉22 ·  ⭐ 640 · 💀) - torchbearer: A model fitting library for PyTorch. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/XiaoMi/mace\">mace</a></b> (🥉21 ·  ⭐ 5K · 💀) - MACE is a deep learning inference framework optimized for mobile.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/google/neural-tangents\">Neural Tangents</a></b> (🥉21 ·  ⭐ 2.4K · 💀) - Fast and Easy Infinite Neural Networks in Python. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/google/objax\">Objax</a></b> (🥉20 ·  ⭐ 770 · 💀) - Objax is a machine learning framework that provides an Object.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://jax.readthedocs.io/en/latest/_static/favicon.png\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/poets-ai/elegy\">elegy</a></b> (🥉19 ·  ⭐ 480 · 💀) - A High Level API for Deep Learning in JAX. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code><img src=\"https://jax.readthedocs.io/en/latest/_static/favicon.png\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/facebookresearch/StarSpace\">StarSpace</a></b> (🥉16 ·  ⭐ 4K · 💀) - Learning embeddings for classification, retrieval and ranking. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/HenryNdubuaku/nanodl\">nanodl</a></b> (🥉14 ·  ⭐ 300 · 💀) - A Jax-based library for building transformers, includes.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://jax.readthedocs.io/en/latest/_static/favicon.png\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n</details>\n<br>\n\n## Data Visualization\n\n<a href=\"#contents\"><img align=\"right\" width=\"15\" height=\"15\" src=\"https://git.io/JtehR\" alt=\"Back to top\"></a>\n\n_General-purpose and task-specific data visualization libraries._\n\n<details><summary><b><a href=\"https://github.com/matplotlib/matplotlib\">Matplotlib</a></b> (🥇49 ·  ⭐ 22K) - matplotlib: plotting with Python. <code>❗Unlicensed</code></summary>\n\n- [GitHub](https://github.com/matplotlib/matplotlib) (👨‍💻 1.9K · 🔀 8.1K · 📦 1.9M · 📋 11K - 14% open · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https://github.com/matplotlib/matplotlib\n\t```\n- [PyPi](https://pypi.org/project/matplotlib) (📥 120M / month · 📦 68K · ⏱️ 09.10.2025):\n\t```\n\tpip install matplotlib\n\t```\n- [Conda](https://anaconda.org/conda-forge/matplotlib) (📥 33M · ⏱️ 15.10.2025):\n\t```\n\tconda install -c conda-forge matplotlib\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/plotly/plotly.py\">Plotly</a></b> (🥇47 ·  ⭐ 18K) - The interactive graphing library for Python. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/plotly/plotly.py) (👨‍💻 300 · 🔀 2.7K · 📥 550 · 📦 460K · 📋 3.3K - 21% open · ⏱️ 28.10.2025):\n\n\t```\n\tgit clone https://github.com/plotly/plotly.py\n\t```\n- [PyPi](https://pypi.org/project/plotly) (📥 37M / month · 📦 9.7K · ⏱️ 02.10.2025):\n\t```\n\tpip install plotly\n\t```\n- [Conda](https://anaconda.org/conda-forge/plotly) (📥 12M · ⏱️ 03.10.2025):\n\t```\n\tconda install -c conda-forge plotly\n\t```\n- [npm](https://www.npmjs.com/package/plotlywidget) (📥 2.8K / month · 📦 9 · ⏱️ 12.01.2021):\n\t```\n\tnpm install plotlywidget\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/plotly/dash\">dash</a></b> (🥇45 ·  ⭐ 24K) - Data Apps & Dashboards for Python. No JavaScript Required. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/plotly/dash) (👨‍💻 190 · 🔀 2.2K · 📥 120 · 📦 89K · 📋 2.1K - 27% open · ⏱️ 21.10.2025):\n\n\t```\n\tgit clone https://github.com/plotly/dash\n\t```\n- [PyPi](https://pypi.org/project/dash) (📥 5.5M / month · 📦 1.9K · ⏱️ 22.10.2025):\n\t```\n\tpip install dash\n\t```\n- [Conda](https://anaconda.org/conda-forge/dash) (📥 2.1M · ⏱️ 11.08.2025):\n\t```\n\tconda install -c conda-forge dash\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/bokeh/bokeh\">Bokeh</a></b> (🥇45 ·  ⭐ 20K) - Interactive Data Visualization in the browser, from Python. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code></summary>\n\n- [GitHub](https://github.com/bokeh/bokeh) (👨‍💻 720 · 🔀 4.2K · 📦 100K · 📋 8.1K - 10% open · ⏱️ 28.10.2025):\n\n\t```\n\tgit clone https://github.com/bokeh/bokeh\n\t```\n- [PyPi](https://pypi.org/project/bokeh) (📥 5M / month · 📦 2.2K · ⏱️ 13.10.2025):\n\t```\n\tpip install bokeh\n\t```\n- [Conda](https://anaconda.org/conda-forge/bokeh) (📥 18M · ⏱️ 30.08.2025):\n\t```\n\tconda install -c conda-forge bokeh\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/mwaskom/seaborn\">Seaborn</a></b> (🥇42 ·  ⭐ 14K) - Statistical data visualization in Python. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code></summary>\n\n- [GitHub](https://github.com/mwaskom/seaborn) (👨‍💻 220 · 🔀 2K · 📥 510 · 📦 700K · 📋 2.6K - 6% open · ⏱️ 10.07.2025):\n\n\t```\n\tgit clone https://github.com/mwaskom/seaborn\n\t```\n- [PyPi](https://pypi.org/project/seaborn) (📥 31M / month · 📦 11K · ⏱️ 25.01.2024):\n\t```\n\tpip install seaborn\n\t```\n- [Conda](https://anaconda.org/conda-forge/seaborn) (📥 15M · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge seaborn\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/vega/altair\">Altair</a></b> (🥇41 ·  ⭐ 10K) - Declarative visualization library for Python. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code></summary>\n\n- [GitHub](https://github.com/vega/altair) (👨‍💻 180 · 🔀 800 · 📥 280 · 📦 240K · 📋 2.1K - 6% open · ⏱️ 27.10.2025):\n\n\t```\n\tgit clone https://github.com/altair-viz/altair\n\t```\n- [PyPi](https://pypi.org/project/altair) (📥 37M / month · 📦 920 · ⏱️ 23.11.2024):\n\t```\n\tpip install altair\n\t```\n- [Conda](https://anaconda.org/conda-forge/altair) (📥 3M · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge altair\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/voxel51/fiftyone\">FiftyOne</a></b> (🥈39 ·  ⭐ 10K) - Visualize, create, and debug image and video datasets.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/voxel51/fiftyone) (👨‍💻 160 · 🔀 680 · 📦 1K · 📋 1.8K - 35% open · ⏱️ 29.10.2025):\n\n\t```\n\tgit clone https://github.com/voxel51/fiftyone\n\t```\n- [PyPi](https://pypi.org/project/fiftyone) (📥 170K / month · 📦 36 · ⏱️ 20.10.2025):\n\t```\n\tpip install fiftyone\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/xflr6/graphviz\">Graphviz</a></b> (🥈39 ·  ⭐ 1.8K) - Simple Python interface for Graphviz. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/xflr6/graphviz) (👨‍💻 24 · 🔀 220 · 📦 95K · 📋 190 - 6% open · ⏱️ 26.10.2025):\n\n\t```\n\tgit clone https://github.com/xflr6/graphviz\n\t```\n- [PyPi](https://pypi.org/project/graphviz) (📥 26M / month · 📦 3.2K · ⏱️ 15.06.2025):\n\t```\n\tpip install graphviz\n\t```\n- [Conda](https://anaconda.org/anaconda/python-graphviz) (📥 59K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c anaconda python-graphviz\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/pyvista/pyvista\">PyVista</a></b> (🥈38 ·  ⭐ 3.3K) - 3D plotting and mesh analysis through a streamlined interface for.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/pyvista/pyvista) (👨‍💻 190 · 🔀 590 · 📥 960 · 📦 5.2K · 📋 2K - 35% open · ⏱️ 28.10.2025):\n\n\t```\n\tgit clone https://github.com/pyvista/pyvista\n\t```\n- [PyPi](https://pypi.org/project/pyvista) (📥 1M / month · 📦 820 · ⏱️ 26.08.2025):\n\t```\n\tpip install pyvista\n\t```\n- [Conda](https://anaconda.org/conda-forge/pyvista) (📥 810K · ⏱️ 10.10.2025):\n\t```\n\tconda install -c conda-forge pyvista\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/holoviz/holoviews\">HoloViews</a></b> (🥈38 ·  ⭐ 2.8K) - With Holoviews, your data visualizes itself. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/holoviz/holoviews) (👨‍💻 150 · 🔀 410 · 📦 17K · 📋 3.4K - 31% open · ⏱️ 29.10.2025):\n\n\t```\n\tgit clone https://github.com/holoviz/holoviews\n\t```\n- [PyPi](https://pypi.org/project/holoviews) (📥 820K / month · 📦 490 · ⏱️ 29.10.2025):\n\t```\n\tpip install holoviews\n\t```\n- [Conda](https://anaconda.org/conda-forge/holoviews) (📥 2.4M · ⏱️ 25.06.2025):\n\t```\n\tconda install -c conda-forge holoviews\n\t```\n- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (📥 380 / month · 📦 7 · ⏱️ 20.06.2025):\n\t```\n\tnpm install @pyviz/jupyterlab_pyviz\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/pyecharts/pyecharts\">pyecharts</a></b> (🥈37 ·  ⭐ 16K) - Python Echarts Plotting Library. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/pyecharts/pyecharts) (👨‍💻 45 · 🔀 2.9K · 📥 75 · 📦 5.5K · 📋 1.9K - 0% open · ⏱️ 10.10.2025):\n\n\t```\n\tgit clone https://github.com/pyecharts/pyecharts\n\t```\n- [PyPi](https://pypi.org/project/pyecharts) (📥 530K / month · 📦 280 · ⏱️ 10.10.2025):\n\t```\n\tpip install pyecharts\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/pyqtgraph/pyqtgraph\">PyQtGraph</a></b> (🥈37 ·  ⭐ 4.2K) - Fast data visualization and GUI tools for scientific / engineering.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (👨‍💻 300 · 🔀 1.1K · 📦 13K · 📋 1.4K - 31% open · ⏱️ 02.10.2025):\n\n\t```\n\tgit clone https://github.com/pyqtgraph/pyqtgraph\n\t```\n- [PyPi](https://pypi.org/project/pyqtgraph) (📥 560K / month · 📦 1K · ⏱️ 29.04.2024):\n\t```\n\tpip install pyqtgraph\n\t```\n- [Conda](https://anaconda.org/conda-forge/pyqtgraph) (📥 880K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge pyqtgraph\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/ydataai/ydata-profiling\">pandas-profiling</a></b> (🥈35 ·  ⭐ 13K) - 1 Line of code data quality profiling & exploratory.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code><img src=\"https://git.io/JLy1S\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/ydataai/ydata-profiling) (👨‍💻 140 · 🔀 1.7K · 📥 490 · 📦 6.9K · 📋 850 - 30% open · ⏱️ 19.09.2025):\n\n\t```\n\tgit clone https://github.com/ydataai/pandas-profiling\n\t```\n- [PyPi](https://pypi.org/project/pandas-profiling) (📥 330K / month · 📦 180 · ⏱️ 03.02.2023):\n\t```\n\tpip install pandas-profiling\n\t```\n- [Conda](https://anaconda.org/conda-forge/pandas-profiling) (📥 590K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge pandas-profiling\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/has2k1/plotnine\">plotnine</a></b> (🥈35 ·  ⭐ 4.4K) - A Grammar of Graphics for Python. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/has2k1/plotnine) (👨‍💻 110 · 🔀 240 · 📦 13K · 📋 750 - 10% open · ⏱️ 16.10.2025):\n\n\t```\n\tgit clone https://github.com/has2k1/plotnine\n\t```\n- [PyPi](https://pypi.org/project/plotnine) (📥 2.2M / month · 📦 400 · ⏱️ 15.07.2025):\n\t```\n\tpip install plotnine\n\t```\n- [Conda](https://anaconda.org/conda-forge/plotnine) (📥 560K · ⏱️ 15.07.2025):\n\t```\n\tconda install -c conda-forge plotnine\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/SciTools/cartopy\">cartopy</a></b> (🥈35 ·  ⭐ 1.5K) - Cartopy - a cartographic python library with matplotlib support. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code></summary>\n\n- [GitHub](https://github.com/SciTools/cartopy) (👨‍💻 140 · 🔀 390 · 📦 8.1K · 📋 1.3K - 23% open · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https://github.com/SciTools/cartopy\n\t```\n- [PyPi](https://pypi.org/project/cartopy) (📥 810K / month · 📦 970 · ⏱️ 01.08.2025):\n\t```\n\tpip install cartopy\n\t```\n- [Conda](https://anaconda.org/conda-forge/cartopy) (📥 5.6M · ⏱️ 27.10.2025):\n\t```\n\tconda install -c conda-forge cartopy\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/vispy/vispy\">VisPy</a></b> (🥈34 ·  ⭐ 3.5K · 📉) - High-performance interactive 2D/3D data visualization library. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/vispy/vispy) (👨‍💻 210 · 🔀 620 · 📦 2.1K · 📋 1.5K - 25% open · ⏱️ 13.10.2025):\n\n\t```\n\tgit clone https://github.com/vispy/vispy\n\t```\n- [PyPi](https://pypi.org/project/vispy) (📥 190K / month · 📦 200 · ⏱️ 19.05.2025):\n\t```\n\tpip install vispy\n\t```\n- [Conda](https://anaconda.org/conda-forge/vispy) (📥 980K · ⏱️ 30.08.2025):\n\t```\n\tconda install -c conda-forge vispy\n\t```\n- [npm](https://www.npmjs.com/package/vispy) (📥 12 / month · 📦 3 · ⏱️ 15.03.2020):\n\t```\n\tnpm install vispy\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/holoviz/datashader\">datashader</a></b> (🥈34 ·  ⭐ 3.5K) - Quickly and accurately render even the largest data. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code></summary>\n\n- [GitHub](https://github.com/holoviz/datashader) (👨‍💻 63 · 🔀 380 · 📦 6.3K · 📋 620 - 24% open · ⏱️ 09.10.2025):\n\n\t```\n\tgit clone https://github.com/holoviz/datashader\n\t```\n- [PyPi](https://pypi.org/project/datashader) (📥 280K / month · 📦 250 · ⏱️ 05.08.2025):\n\t```\n\tpip install datashader\n\t```\n- [Conda](https://anaconda.org/conda-forge/datashader) (📥 1.6M · ⏱️ 05.08.2025):\n\t```\n\tconda install -c conda-forge datashader\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/JetBrains/lets-plot\">lets-plot</a></b> (🥈34 ·  ⭐ 1.7K) - Multiplatform plotting library based on the Grammar of Graphics. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/JetBrains/lets-plot) (👨‍💻 21 · 🔀 54 · 📥 3.4K · 📦 190 · 📋 740 - 21% open · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https://github.com/JetBrains/lets-plot\n\t```\n- [PyPi](https://pypi.org/project/lets-plot) (📥 120K / month · 📦 16 · ⏱️ 12.09.2025):\n\t```\n\tpip install lets-plot\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/amueller/word_cloud\">wordcloud</a></b> (🥈33 ·  ⭐ 10K) - A little word cloud generator in Python. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/amueller/word_cloud) (👨‍💻 75 · 🔀 2.3K · 📦 21 · 📋 560 - 24% open · ⏱️ 31.08.2025):\n\n\t```\n\tgit clone https://github.com/amueller/word_cloud\n\t```\n- [PyPi](https://pypi.org/project/wordcloud) (📥 2M / month · 📦 550 · ⏱️ 10.11.2024):\n\t```\n\tpip install wordcloud\n\t```\n- [Conda](https://anaconda.org/conda-forge/wordcloud) (📥 790K · ⏱️ 03.09.2025):\n\t```\n\tconda install -c conda-forge wordcloud\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/perspective-dev/perspective\">Perspective</a></b> (🥈33 ·  ⭐ 9.5K) - A data visualization and analytics component, especially.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/perspective-dev/perspective) (👨‍💻 100 · 🔀 1.2K · 📥 12K · 📦 190 · 📋 890 - 12% open · ⏱️ 29.10.2025):\n\n\t```\n\tgit clone https://github.com/finos/perspective\n\t```\n- [PyPi](https://pypi.org/project/perspective-python) (📥 17K / month · 📦 31 · ⏱️ 28.10.2025):\n\t```\n\tpip install perspective-python\n\t```\n- [Conda](https://anaconda.org/conda-forge/perspective) (📥 2.4M · ⏱️ 28.10.2025):\n\t```\n\tconda install -c conda-forge perspective\n\t```\n- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (📥 600 / month · 📦 6 · ⏱️ 03.09.2025):\n\t```\n\tnpm install @finos/perspective-jupyterlab\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/lmcinnes/umap\">UMAP</a></b> (🥈33 ·  ⭐ 8K) - Uniform Manifold Approximation and Projection. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code></summary>\n\n- [GitHub](https://github.com/lmcinnes/umap) (👨‍💻 140 · 🔀 850 · 📦 1 · 📋 860 - 59% open · ⏱️ 26.10.2025):\n\n\t```\n\tgit clone https://github.com/lmcinnes/umap\n\t```\n- [PyPi](https://pypi.org/project/umap-learn) (📥 2.7M / month · 📦 1.3K · ⏱️ 03.07.2025):\n\t```\n\tpip install umap-learn\n\t```\n- [Conda](https://anaconda.org/conda-forge/umap-learn) (📥 3.2M · ⏱️ 03.07.2025):\n\t```\n\tconda install -c conda-forge umap-learn\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/holoviz/hvplot\">hvPlot</a></b> (🥈32 ·  ⭐ 1.3K) - A high-level plotting API for pandas, dask, xarray, and networkx built.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code></summary>\n\n- [GitHub](https://github.com/holoviz/hvplot) (👨‍💻 52 · 🔀 110 · 📦 7.3K · 📋 940 - 41% open · ⏱️ 24.10.2025):\n\n\t```\n\tgit clone https://github.com/holoviz/hvplot\n\t```\n- [PyPi](https://pypi.org/project/hvplot) (📥 310K / month · 📦 270 · ⏱️ 29.08.2025):\n\t```\n\tpip install hvplot\n\t```\n- [Conda](https://anaconda.org/conda-forge/hvplot) (📥 860K · ⏱️ 04.09.2025):\n\t```\n\tconda install -c conda-forge hvplot\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/mpld3/mpld3\">mpld3</a></b> (🥉31 ·  ⭐ 2.4K · 📉) - An interactive data visualization tool which brings matplotlib.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code></summary>\n\n- [GitHub](https://github.com/mpld3/mpld3) (👨‍💻 54 · 🔀 360 · 📦 7.6K · 📋 370 - 59% open · ⏱️ 27.07.2025):\n\n\t```\n\tgit clone https://github.com/mpld3/mpld3\n\t```\n- [PyPi](https://pypi.org/project/mpld3) (📥 440K / month · 📦 160 · ⏱️ 27.07.2025):\n\t```\n\tpip install mpld3\n\t```\n- [Conda](https://anaconda.org/conda-forge/mpld3) (📥 280K · ⏱️ 28.07.2025):\n\t```\n\tconda install -c conda-forge mpld3\n\t```\n- [npm](https://www.npmjs.com/package/mpld3) (📥 900 / month · 📦 11 · ⏱️ 27.07.2025):\n\t```\n\tnpm install mpld3\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/bqplot/bqplot\">bqplot</a></b> (🥉30 ·  ⭐ 3.7K) - Plotting library for IPython/Jupyter notebooks. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/bqplot/bqplot) (👨‍💻 66 · 🔀 480 · 📦 62 · 📋 650 - 42% open · ⏱️ 25.08.2025):\n\n\t```\n\tgit clone https://github.com/bqplot/bqplot\n\t```\n- [PyPi](https://pypi.org/project/bqplot) (📥 230K / month · 📦 110 · ⏱️ 21.05.2025):\n\t```\n\tpip install bqplot\n\t```\n- [Conda](https://anaconda.org/conda-forge/bqplot) (📥 1.9M · ⏱️ 02.09.2025):\n\t```\n\tconda install -c conda-forge bqplot\n\t```\n- [npm](https://www.npmjs.com/package/bqplot) (📥 3K / month · 📦 21 · ⏱️ 03.09.2025):\n\t```\n\tnpm install bqplot\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/man-group/dtale\">D-Tale</a></b> (🥉29 ·  ⭐ 5K) - Visualizer for pandas data structures. <code><a href=\"https://tldrlegal.com/search?q=LGPL-2.1\">❗️LGPL-2.1</a></code> <code><img src=\"https://git.io/JLy1S\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/man-group/dtale) (👨‍💻 31 · 🔀 430 · 📦 1.5K · 📋 610 - 10% open · ⏱️ 30.07.2025):\n\n\t```\n\tgit clone https://github.com/man-group/dtale\n\t```\n- [PyPi](https://pypi.org/project/dtale) (📥 31K / month · 📦 53 · ⏱️ 30.07.2025):\n\t```\n\tpip install dtale\n\t```\n- [Conda](https://anaconda.org/conda-forge/dtale) (📥 480K · ⏱️ 30.07.2025):\n\t```\n\tconda install -c conda-forge dtale\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/pavlin-policar/openTSNE\">openTSNE</a></b> (🥉29 ·  ⭐ 1.6K · 📈) - Extensible, parallel implementations of t-SNE. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code></summary>\n\n- [GitHub](https://github.com/pavlin-policar/openTSNE) (👨‍💻 14 · 🔀 170 · 📦 1.1K · 📋 150 - 2% open · ⏱️ 27.10.2025):\n\n\t```\n\tgit clone https://github.com/pavlin-policar/openTSNE\n\t```\n- [PyPi](https://pypi.org/project/opentsne) (📥 58K / month · 📦 69 · ⏱️ 27.10.2025):\n\t```\n\tpip install opentsne\n\t```\n- [Conda](https://anaconda.org/conda-forge/opentsne) (📥 500K · ⏱️ 27.10.2025):\n\t```\n\tconda install -c conda-forge opentsne\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/predict-idlab/plotly-resampler\">Plotly-Resampler</a></b> (🥉27 ·  ⭐ 1.2K) - Visualize large time series data with plotly.py. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/predict-idlab/plotly-resampler) (👨‍💻 14 · 🔀 74 · 📦 2K · 📋 190 - 32% open · ⏱️ 03.09.2025):\n\n\t```\n\tgit clone https://github.com/predict-idlab/plotly-resampler\n\t```\n- [PyPi](https://pypi.org/project/plotly-resampler) (📥 370K / month · 📦 38 · ⏱️ 29.08.2025):\n\t```\n\tpip install plotly-resampler\n\t```\n- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (📥 140K · ⏱️ 09.10.2025):\n\t```\n\tconda install -c conda-forge plotly-resampler\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/ContextLab/hypertools\">HyperTools</a></b> (🥉26 ·  ⭐ 1.9K) - A Python toolbox for gaining geometric insights into high-dimensional.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/ContextLab/hypertools) (👨‍💻 23 · 🔀 160 · 📥 73 · 📦 510 · 📋 200 - 34% open · ⏱️ 10.07.2025):\n\n\t```\n\tgit clone https://github.com/ContextLab/hypertools\n\t```\n- [PyPi](https://pypi.org/project/hypertools) (📥 1.1K / month · 📦 2 · ⏱️ 09.07.2025):\n\t```\n\tpip install hypertools\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/tensorflow/data-validation\">data-validation</a></b> (🥉25 ·  ⭐ 780) - Library for exploring and validating machine learning.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/tensorflow/data-validation) (👨‍💻 30 · 🔀 180 · 📥 1K · 📋 190 - 20% open · ⏱️ 23.06.2025):\n\n\t```\n\tgit clone https://github.com/tensorflow/data-validation\n\t```\n- [PyPi](https://pypi.org/project/tensorflow-data-validation) (📥 150K / month · 📦 32 · ⏱️ 09.06.2025):\n\t```\n\tpip install tensorflow-data-validation\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/spotify/chartify\">Chartify</a></b> (🥉24 ·  ⭐ 3.6K · 💤) - Python library that makes it easy for data scientists to create.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/spotify/chartify) (👨‍💻 27 · 🔀 340 · 📦 83 · 📋 86 - 62% open · ⏱️ 16.10.2024):\n\n\t```\n\tgit clone https://github.com/spotify/chartify\n\t```\n- [PyPi](https://pypi.org/project/chartify) (📥 1.2K / month · 📦 9 · ⏱️ 16.10.2024):\n\t```\n\tpip install chartify\n\t```\n- [Conda](https://anaconda.org/conda-forge/chartify) (📥 40K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge chartify\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/ing-bank/popmon\">Popmon</a></b> (🥉22 ·  ⭐ 510) - Monitor the stability of a Pandas or Spark dataframe. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1S\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code><img src=\"https://git.io/JLy1N\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/ing-bank/popmon) (👨‍💻 19 · 🔀 36 · 📥 280 · 📦 22 · 📋 57 - 28% open · ⏱️ 04.09.2025):\n\n\t```\n\tgit clone https://github.com/ing-bank/popmon\n\t```\n- [PyPi](https://pypi.org/project/popmon) (📥 3.4K / month · 📦 4 · ⏱️ 04.09.2025):\n\t```\n\tpip install popmon\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/vega/ipyvega\">vega</a></b> (🥉22 ·  ⭐ 390 · 💤) - IPython/Jupyter notebook module for Vega and Vega-Lite. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/vega/ipyvega) (👨‍💻 15 · 🔀 65 · 📦 4 · 📋 110 - 14% open · ⏱️ 01.01.2025):\n\n\t```\n\tgit clone https://github.com/vega/ipyvega\n\t```\n- [PyPi](https://pypi.org/project/vega) (📥 26K / month · 📦 17 · ⏱️ 25.09.2024):\n\t```\n\tpip install vega\n\t```\n- [Conda](https://anaconda.org/conda-forge/vega) (📥 940K · ⏱️ 04.10.2025):\n\t```\n\tconda install -c conda-forge vega\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/vega/vegafusion\">vegafusion</a></b> (🥉21 ·  ⭐ 390) - Serverside scaling for Vega and Altair visualizations. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code></summary>\n\n- [GitHub](https://github.com/vega/vegafusion) (👨‍💻 6 · 🔀 26 · 📥 6.6K · 📋 150 - 36% open · ⏱️ 29.09.2025):\n\n\t```\n\tgit clone https://github.com/vegafusion/vegafusion\n\t```\n- [PyPi](https://pypi.org/project/vegafusion-jupyter) (📥 770 / month · 📦 2 · ⏱️ 09.05.2024):\n\t```\n\tpip install vegafusion-jupyter\n\t```\n- [Conda](https://anaconda.org/conda-forge/vegafusion-python-embed) (📥 520K · ⏱️ 27.10.2025):\n\t```\n\tconda install -c conda-forge vegafusion-python-embed\n\t```\n- [npm](https://www.npmjs.com/package/vegafusion-jupyter) (📥 1.9K / month · 📦 3 · ⏱️ 09.05.2024):\n\t```\n\tnpm install vegafusion-jupyter\n\t```\n</details>\n<details><summary>Show 22 hidden projects...</summary>\n\n- <b><a href=\"https://github.com/ResidentMario/missingno\">missingno</a></b> (🥉30 ·  ⭐ 4.2K · 💀) - Missing data visualization module for Python. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/PAIR-code/facets\">Facets Overview</a></b> (🥉28 ·  ⭐ 7.4K · 💀) - Visualizations for machine learning datasets. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/santosjorge/cufflinks\">Cufflinks</a></b> (🥉28 ·  ⭐ 3.1K · 💀) - Productivity Tools for Plotly + Pandas. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1S\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/jupyter-widgets/pythreejs\">pythreejs</a></b> (🥉27 ·  ⭐ 980 · 💀) - A Jupyter - Three.js bridge. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/fbdesignpro/sweetviz\">Sweetviz</a></b> (🥉26 ·  ⭐ 3.1K · 💀) - Visualize and compare datasets, target values and associations, with.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/AutoViML/AutoViz\">AutoViz</a></b> (🥉26 ·  ⭐ 1.9K · 💀) - Automatically Visualize any dataset, any size with a single line.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/tpvasconcelos/ridgeplot\">ridgeplot</a></b> (🥉26 ·  ⭐ 240) - Beautiful ridgeline plots in Python. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/adamerose/PandasGUI\">PandasGUI</a></b> (🥉24 ·  ⭐ 3.3K) - A GUI for Pandas DataFrames. <code><a href=\"https://tldrlegal.com/search?q=MIT-0\">❗️MIT-0</a></code> <code><img src=\"https://git.io/JLy1S\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/facebookresearch/hiplot\">HiPlot</a></b> (🥉24 ·  ⭐ 2.8K · 💀) - HiPlot makes understanding high dimensional data easy. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/marcharper/python-ternary\">python-ternary</a></b> (🥉24 ·  ⭐ 770 · 💀) - Ternary plotting library for python with matplotlib. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/DmitryUlyanov/Multicore-TSNE\">Multicore-TSNE</a></b> (🥉23 ·  ⭐ 1.9K · 💀) - Parallel t-SNE implementation with Python and Torch.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/PatrikHlobil/Pandas-Bokeh\">Pandas-Bokeh</a></b> (🥉22 ·  ⭐ 890 · 💀) - Bokeh Plotting Backend for Pandas and GeoPandas. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1S\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/nicolaskruchten/jupyter_pivottablejs\">pivottablejs</a></b> (🥉21 ·  ⭐ 710 · 💀) - Dragndrop Pivot Tables and Charts for Jupyter/IPython.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/leotac/joypy\">joypy</a></b> (🥉21 ·  ⭐ 600 · 💀) - Joyplots in Python with matplotlib & pandas. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/gyli/PyWaffle\">PyWaffle</a></b> (🥉21 ·  ⭐ 600 · 💀) - Make Waffle Charts in Python. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/sosuneko/PDPbox\">PDPbox</a></b> (🥉20 ·  ⭐ 860 · 💀) - python partial dependence plot toolbox. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/t-makaro/animatplot\">animatplot</a></b> (🥉18 ·  ⭐ 410 · 💀) - A python package for animating plots build on matplotlib. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/beringresearch/ivis\">ivis</a></b> (🥉18 ·  ⭐ 340 · 💀) - Dimensionality reduction in very large datasets using Siamese.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/altair-viz/pdvega\">pdvega</a></b> (🥉16 ·  ⭐ 340 · 💀) - Interactive plotting for Pandas using Vega-Lite. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/Zsailer/nx_altair\">nx-altair</a></b> (🥉16 ·  ⭐ 230 · 💀) - Draw interactive NetworkX graphs with Altair. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/data-describe/data-describe\">data-describe</a></b> (🥉15 ·  ⭐ 300 · 💀) - datadescribe: Pythonic EDA Accelerator for Data Science. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/biovault/nptsne\">nptsne</a></b> (🥉11 ·  ⭐ 33 · 💀) - nptsne is a numpy compatible python binary package that offers a.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n</details>\n<br>\n\n## Text Data & NLP\n\n<a href=\"#contents\"><img align=\"right\" width=\"15\" height=\"15\" src=\"https://git.io/JtehR\" alt=\"Back to top\"></a>\n\n_Libraries for processing, cleaning, manipulating, and analyzing text data as well as libraries for NLP tasks such as language detection, fuzzy matching, classification, seq2seq learning, conversational AI, keyword extraction, and translation._\n\n<details><summary><b><a href=\"https://github.com/huggingface/transformers\">transformers</a></b> (🥇54 ·  ⭐ 150K) - Transformers: the model-definition framework for.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/huggingface/transformers) (👨‍💻 3.6K · 🔀 31K · 📦 400K · 📋 19K - 11% open · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https://github.com/huggingface/transformers\n\t```\n- [PyPi](https://pypi.org/project/transformers) (📥 93M / month · 📦 11K · ⏱️ 14.10.2025):\n\t```\n\tpip install transformers\n\t```\n- [Conda](https://anaconda.org/conda-forge/transformers) (📥 3.3M · ⏱️ 14.10.2025):\n\t```\n\tconda install -c conda-forge transformers\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/nltk/nltk\">nltk</a></b> (🥇47 ·  ⭐ 14K) - Suite of libraries and programs for symbolic and statistical natural.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/nltk/nltk) (👨‍💻 480 · 🔀 3K · 📦 410K · 📋 1.9K - 14% open · ⏱️ 22.10.2025):\n\n\t```\n\tgit clone https://github.com/nltk/nltk\n\t```\n- [PyPi](https://pypi.org/project/nltk) (📥 42M / month · 📦 6.3K · ⏱️ 01.10.2025):\n\t```\n\tpip install nltk\n\t```\n- [Conda](https://anaconda.org/conda-forge/nltk) (📥 3.4M · ⏱️ 01.10.2025):\n\t```\n\tconda install -c conda-forge nltk\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/BerriAI/litellm\">litellm</a></b> (🥇45 ·  ⭐ 30K · 📉) - Python SDK, Proxy Server (LLM Gateway) to call 100+.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code>o</code> <code>t</code> <code>h</code> <code>e</code> <code>r</code> <code>s</code></summary>\n\n- [GitHub](https://github.com/BerriAI/litellm) (👨‍💻 960 · 🔀 4.5K · 📥 800 · 📦 17K · 📋 7.8K - 17% open · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https://github.com/BerriAI/litellm\n\t```\n- [PyPi](https://pypi.org/project/litellm) (📥 34M / month · 📦 1.9K · ⏱️ 29.10.2025):\n\t```\n\tpip install litellm\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/explosion/spaCy\">spaCy</a></b> (🥇43 ·  ⭐ 33K · 📈) - Industrial-strength Natural Language Processing (NLP) in Python. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/explosion/spaCy) (👨‍💻 780 · 🔀 4.5K · 📥 4.9K · 📦 140K · 📋 5.8K - 3% open · ⏱️ 28.10.2025):\n\n\t```\n\tgit clone https://github.com/explosion/spaCy\n\t```\n- [PyPi](https://pypi.org/project/spacy) (📥 17M / month · 📦 3.2K · ⏱️ 23.05.2025):\n\t```\n\tpip install spacy\n\t```\n- [Conda](https://anaconda.org/conda-forge/spacy) (📥 6.5M · ⏱️ 06.07.2025):\n\t```\n\tconda install -c conda-forge spacy\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/huggingface/sentence-transformers\">sentence-transformers</a></b> (🥇42 ·  ⭐ 18K) - State-of-the-Art Text Embeddings. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/huggingface/sentence-transformers) (👨‍💻 240 · 🔀 2.7K · 📦 120K · 📋 2.5K - 51% open · ⏱️ 22.10.2025):\n\n\t```\n\tgit clone https://github.com/UKPLab/sentence-transformers\n\t```\n- [PyPi](https://pypi.org/project/sentence-transformers) (📥 17M / month · 📦 3.7K · ⏱️ 22.10.2025):\n\t```\n\tpip install sentence-transformers\n\t```\n- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (📥 1M · ⏱️ 22.10.2025):\n\t```\n\tconda install -c conda-forge sentence-transformers\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/piskvorky/gensim\">gensim</a></b> (🥇42 ·  ⭐ 16K) - Topic Modelling for Humans. <code><a href=\"https://tldrlegal.com/search?q=LGPL-2.1\">❗️LGPL-2.1</a></code></summary>\n\n- [GitHub](https://github.com/piskvorky/gensim) (👨‍💻 460 · 🔀 4.4K · 📥 6.4K · 📦 78K · 📋 1.9K - 21% open · ⏱️ 16.10.2025):\n\n\t```\n\tgit clone https://github.com/RaRe-Technologies/gensim\n\t```\n- [PyPi](https://pypi.org/project/gensim) (📥 5.2M / month · 📦 1.6K · ⏱️ 18.10.2025):\n\t```\n\tpip install gensim\n\t```\n- [Conda](https://anaconda.org/conda-forge/gensim) (📥 1.8M · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge gensim\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/google/sentencepiece\">sentencepiece</a></b> (🥇42 ·  ⭐ 11K) - Unsupervised text tokenizer for Neural Network-based text.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/google/sentencepiece) (👨‍💻 100 · 🔀 1.3K · 📥 110K · 📦 120K · 📋 800 - 3% open · ⏱️ 04.10.2025):\n\n\t```\n\tgit clone https://github.com/google/sentencepiece\n\t```\n- [PyPi](https://pypi.org/project/sentencepiece) (📥 31M / month · 📦 2.4K · ⏱️ 12.08.2025):\n\t```\n\tpip install sentencepiece\n\t```\n- [Conda](https://anaconda.org/conda-forge/sentencepiece) (📥 1.7M · ⏱️ 22.09.2025):\n\t```\n\tconda install -c conda-forge sentencepiece\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/huggingface/tokenizers\">Tokenizers</a></b> (🥇40 ·  ⭐ 10K) - Fast State-of-the-Art Tokenizers optimized for Research and.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/huggingface/tokenizers) (👨‍💻 130 · 🔀 970 · 📥 86 · 📦 180K · 📋 1.1K - 9% open · ⏱️ 16.10.2025):\n\n\t```\n\tgit clone https://github.com/huggingface/tokenizers\n\t```\n- [PyPi](https://pypi.org/project/tokenizers) (📥 81M / month · 📦 1.7K · ⏱️ 19.09.2025):\n\t```\n\tpip install tokenizers\n\t```\n- [Conda](https://anaconda.org/conda-forge/tokenizers) (📥 3.6M · ⏱️ 19.09.2025):\n\t```\n\tconda install -c conda-forge tokenizers\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/NVIDIA-NeMo/NeMo\">NeMo</a></b> (🥇38 ·  ⭐ 16K) - A scalable generative AI framework built for researchers and.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/NVIDIA-NeMo/NeMo) (👨‍💻 460 · 🔀 3.2K · 📥 520K · 📦 21 · 📋 2.8K - 4% open · ⏱️ 29.10.2025):\n\n\t```\n\tgit clone https://github.com/NVIDIA/NeMo\n\t```\n- [PyPi](https://pypi.org/project/nemo-toolkit) (📥 810K / month · 📦 18 · ⏱️ 27.10.2025):\n\t```\n\tpip install nemo-toolkit\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/deepset-ai/haystack\">haystack</a></b> (🥇37 ·  ⭐ 23K) - AI orchestration framework to build customizable, production-ready.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/deepset-ai/haystack) (👨‍💻 310 · 🔀 2.5K · 📦 1.3K · 📋 4.1K - 2% open · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https://github.com/deepset-ai/haystack\n\t```\n- [PyPi](https://pypi.org/project/haystack) (📥 7.4K / month · 📦 5 · ⏱️ 15.12.2021):\n\t```\n\tpip install haystack\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/comet-ml/opik\">Opik</a></b> (🥇37 ·  ⭐ 15K) - Debug, evaluate, and monitor your LLM applications, RAG systems, and.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/comet-ml/opik) (👨‍💻 81 · 🔀 1.1K · 📦 17 · 📋 540 - 29% open · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https://github.com/comet-ml/opik\n\t```\n- [PyPi](https://pypi.org/project/opik) (📥 850K / month · 📦 34 · ⏱️ 29.10.2025):\n\t```\n\tpip install opik\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/gunthercox/ChatterBot\">ChatterBot</a></b> (🥇37 ·  ⭐ 14K) - ChatterBot is a machine learning, conversational dialog engine for.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code></summary>\n\n- [GitHub](https://github.com/gunthercox/ChatterBot) (👨‍💻 110 · 🔀 4.5K · 📦 6.5K · 📋 1.7K - 6% open · ⏱️ 25.10.2025):\n\n\t```\n\tgit clone https://github.com/gunthercox/ChatterBot\n\t```\n- [PyPi](https://pypi.org/project/chatterbot) (📥 20K / month · 📦 19 · ⏱️ 16.10.2025):\n\t```\n\tpip install chatterbot\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/flairNLP/flair\">flair</a></b> (🥇37 ·  ⭐ 14K) - A very simple framework for state-of-the-art Natural Language Processing.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/flairNLP/flair) (👨‍💻 280 · 🔀 2.1K · 📦 4.1K · 📋 2.4K - 1% open · ⏱️ 12.06.2025):\n\n\t```\n\tgit clone https://github.com/flairNLP/flair\n\t```\n- [PyPi](https://pypi.org/project/flair) (📥 180K / month · 📦 160 · ⏱️ 05.02.2025):\n\t```\n\tpip install flair\n\t```\n- [Conda](https://anaconda.org/conda-forge/python-flair) (📥 49K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge python-flair\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/sloria/TextBlob\">TextBlob</a></b> (🥇37 ·  ⭐ 9.5K) - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/sloria/TextBlob) (👨‍💻 37 · 🔀 1.2K · 📥 140 · 📦 60K · 📋 280 - 25% open · ⏱️ 18.10.2025):\n\n\t```\n\tgit clone https://github.com/sloria/TextBlob\n\t```\n- [PyPi](https://pypi.org/project/textblob) (📥 1.5M / month · 📦 400 · ⏱️ 13.01.2025):\n\t```\n\tpip install textblob\n\t```\n- [Conda](https://anaconda.org/conda-forge/textblob) (📥 340K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge textblob\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/facebookresearch/fairseq\">fairseq</a></b> (🥈36 ·  ⭐ 32K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/facebookresearch/fairseq) (👨‍💻 430 · 🔀 6.6K · 📥 440 · 📦 4.4K · 📋 4.4K - 30% open · ⏱️ 30.09.2025):\n\n\t```\n\tgit clone https://github.com/facebookresearch/fairseq\n\t```\n- [PyPi](https://pypi.org/project/fairseq) (📥 77K / month · 📦 120 · ⏱️ 27.06.2022):\n\t```\n\tpip install fairseq\n\t```\n- [Conda](https://anaconda.org/conda-forge/fairseq) (📥 170K · ⏱️ 02.10.2025):\n\t```\n\tconda install -c conda-forge fairseq\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/stanfordnlp/stanza\">stanza</a></b> (🥈36 ·  ⭐ 7.6K) - Stanford NLP Python library for tokenization, sentence segmentation,.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/stanfordnlp/stanza) (👨‍💻 72 · 🔀 920 · 📦 4.1K · 📋 950 - 10% open · ⏱️ 05.10.2025):\n\n\t```\n\tgit clone https://github.com/stanfordnlp/stanza\n\t```\n- [PyPi](https://pypi.org/project/stanza) (📥 770K / month · 📦 240 · ⏱️ 05.10.2025):\n\t```\n\tpip install stanza\n\t```\n- [Conda](https://anaconda.org/stanfordnlp/stanza) (📥 9K · ⏱️ 25.03.2025):\n\t```\n\tconda install -c stanfordnlp stanza\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/qdrant/qdrant\">qdrant</a></b> (🥈35 ·  ⭐ 27K) - Qdrant - High-performance, massive-scale Vector Database and Vector.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/qdrant/qdrant) (👨‍💻 140 · 🔀 1.9K · 📥 500K · 📦 120 · 📋 1.6K - 22% open · ⏱️ 30.09.2025):\n\n\t```\n\tgit clone https://github.com/qdrant/qdrant\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/JohnSnowLabs/spark-nlp\">spark-nlp</a></b> (🥈35 ·  ⭐ 4.1K) - State of the Art Natural Language Processing. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1N\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (👨‍💻 120 · 🔀 730 · 📦 620 · 📋 910 - 2% open · ⏱️ 22.10.2025):\n\n\t```\n\tgit clone https://github.com/JohnSnowLabs/spark-nlp\n\t```\n- [PyPi](https://pypi.org/project/spark-nlp) (📥 1M / month · 📦 39 · ⏱️ 22.10.2025):\n\t```\n\tpip install spark-nlp\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/RasaHQ/rasa\">Rasa</a></b> (🥈34 ·  ⭐ 21K) - Open source machine learning framework to automate text- and voice-.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/RasaHQ/rasa) (👨‍💻 600 · 🔀 4.9K · 📋 6.8K - 2% open · ⏱️ 26.08.2025):\n\n\t```\n\tgit clone https://github.com/RasaHQ/rasa\n\t```\n- [PyPi](https://pypi.org/project/rasa) (📥 110K / month · 📦 60 · ⏱️ 14.01.2025):\n\t```\n\tpip install rasa\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/tensorflow/text\">TensorFlow Text</a></b> (🥈34 ·  ⭐ 1.3K) - Making text a first-class citizen in TensorFlow. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/tensorflow/text) (👨‍💻 190 · 🔀 360 · 📦 10K · 📋 370 - 53% open · ⏱️ 18.08.2025):\n\n\t```\n\tgit clone https://github.com/tensorflow/text\n\t```\n- [PyPi](https://pypi.org/project/tensorflow-text) (📥 6.8M / month · 📦 230 · ⏱️ 04.04.2025):\n\t```\n\tpip install tensorflow-text\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/snowballstem/snowball\">snowballstemmer</a></b> (🥈34 ·  ⭐ 810) - Snowball compiler and stemming algorithms. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code></summary>\n\n- [GitHub](https://github.com/snowballstem/snowball) (👨‍💻 41 · 🔀 190 · 📦 11 · 📋 120 - 17% open · ⏱️ 28.10.2025):\n\n\t```\n\tgit clone https://github.com/snowballstem/snowball\n\t```\n- [PyPi](https://pypi.org/project/snowballstemmer) (📥 24M / month · 📦 550 · ⏱️ 09.05.2025):\n\t```\n\tpip install snowballstemmer\n\t```\n- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (📥 11M · ⏱️ 20.05.2025):\n\t```\n\tconda install -c conda-forge snowballstemmer\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/pytorch/text\">torchtext</a></b> (🥈32 ·  ⭐ 3.6K) - Models, data loaders and abstractions for language processing,.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/pytorch/text) (👨‍💻 160 · 🔀 810 · 📋 850 - 38% open · ⏱️ 10.09.2025):\n\n\t```\n\tgit clone https://github.com/pytorch/text\n\t```\n- [PyPi](https://pypi.org/project/torchtext) (📥 730K / month · 📦 280 · ⏱️ 24.04.2024):\n\t```\n\tpip install torchtext\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/jamesturk/jellyfish\">jellyfish</a></b> (🥈32 ·  ⭐ 2.2K) - a python library for doing approximate and phonetic matching of strings. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/jamesturk/jellyfish) (👨‍💻 37 · 🔀 160 · 📦 15K · ⏱️ 11.10.2025):\n\n\t```\n\tgit clone https://github.com/jamesturk/jellyfish\n\t```\n- [PyPi](https://pypi.org/project/jellyfish) (📥 8.6M / month · 📦 320 · ⏱️ 11.10.2025):\n\t```\n\tpip install jellyfish\n\t```\n- [Conda](https://anaconda.org/conda-forge/jellyfish) (📥 1.7M · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge jellyfish\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/deeppavlov/DeepPavlov\">DeepPavlov</a></b> (🥈31 ·  ⭐ 6.9K · 💤) - An open source library for deep learning end-to-end.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/deeppavlov/DeepPavlov) (👨‍💻 78 · 🔀 1.2K · 📦 440 · 📋 640 - 4% open · ⏱️ 26.11.2024):\n\n\t```\n\tgit clone https://github.com/deepmipt/DeepPavlov\n\t```\n- [PyPi](https://pypi.org/project/deeppavlov) (📥 11K / month · 📦 4 · ⏱️ 12.08.2024):\n\t```\n\tpip install deeppavlov\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/rspeer/python-ftfy\">ftfy</a></b> (🥈31 ·  ⭐ 4K · 💤) - Fixes mojibake and other glitches in Unicode text, after the fact. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/rspeer/python-ftfy) (👨‍💻 22 · 🔀 120 · 📥 100 · 📦 33K · 📋 150 - 7% open · ⏱️ 30.10.2024):\n\n\t```\n\tgit clone https://github.com/rspeer/python-ftfy\n\t```\n- [PyPi](https://pypi.org/project/ftfy) (📥 11M / month · 📦 570 · ⏱️ 26.10.2024):\n\t```\n\tpip install ftfy\n\t```\n- [Conda](https://anaconda.org/conda-forge/ftfy) (📥 380K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge ftfy\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/allenai/scispacy\">SciSpacy</a></b> (🥈31 ·  ⭐ 1.9K) - A full spaCy pipeline and models for scientific/biomedical documents. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/allenai/scispacy) (👨‍💻 38 · 🔀 240 · 📦 1.3K · 📋 330 - 11% open · ⏱️ 01.10.2025):\n\n\t```\n\tgit clone https://github.com/allenai/scispacy\n\t```\n- [PyPi](https://pypi.org/project/scispacy) (📥 42K / month · 📦 50 · ⏱️ 01.10.2025):\n\t```\n\tpip install scispacy\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/cltk/cltk\">CLTK</a></b> (🥈31 ·  ⭐ 870 · 📉) - The Classical Language Toolkit. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/cltk/cltk) (👨‍💻 120 · 🔀 340 · 📥 160 · 📦 300 · 📋 580 - 0% open · ⏱️ 21.10.2025):\n\n\t```\n\tgit clone https://github.com/cltk/cltk\n\t```\n- [PyPi](https://pypi.org/project/cltk) (📥 14K / month · 📦 17 · ⏱️ 21.10.2025):\n\t```\n\tpip install cltk\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/dwyl/english-words\">english-words</a></b> (🥈29 ·  ⭐ 12K · 💤) - A text file containing 479k English words for all your.. <code><a href=\"http://bit.ly/3rvuUlR\">Unlicense</a></code></summary>\n\n- [GitHub](https://github.com/dwyl/english-words) (👨‍💻 34 · 🔀 2K · 📦 2 · 📋 170 - 75% open · ⏱️ 06.01.2025):\n\n\t```\n\tgit clone https://github.com/dwyl/english-words\n\t```\n- [PyPi](https://pypi.org/project/english-words) (📥 78K / month · 📦 15 · ⏱️ 14.08.2025):\n\t```\n\tpip install english-words\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/argilla-io/argilla\">rubrix</a></b> (🥈29 ·  ⭐ 4.7K) - Argilla is a collaboration tool for AI engineers and domain experts.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/argilla-io/argilla) (👨‍💻 110 · 🔀 460 · 📦 3.1K · 📋 2.2K - 0% open · ⏱️ 05.08.2025):\n\n\t```\n\tgit clone https://github.com/recognai/rubrix\n\t```\n- [PyPi](https://pypi.org/project/rubrix) (📥 1.2K / month · ⏱️ 24.10.2022):\n\t```\n\tpip install rubrix\n\t```\n- [Conda](https://anaconda.org/conda-forge/rubrix) (📥 52K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge rubrix\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/dedupeio/dedupe\">Dedupe</a></b> (🥈29 ·  ⭐ 4.4K · 📈) - A python library for accurate and scalable fuzzy matching, record.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/dedupeio/dedupe) (👨‍💻 72 · 🔀 560 · 📦 370 · 📋 820 - 9% open · ⏱️ 29.07.2025):\n\n\t```\n\tgit clone https://github.com/dedupeio/dedupe\n\t```\n- [PyPi](https://pypi.org/project/dedupe) (📥 59K / month · 📦 19 · ⏱️ 15.08.2024):\n\t```\n\tpip install dedupe\n\t```\n- [Conda](https://anaconda.org/conda-forge/dedupe) (📥 130K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge dedupe\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/life4/textdistance\">TextDistance</a></b> (🥈28 ·  ⭐ 3.5K) - Compute distance between sequences. 30+ algorithms, pure python.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/life4/textdistance) (👨‍💻 18 · 🔀 260 · 📥 1.1K · 📦 8.8K · ⏱️ 18.04.2025):\n\n\t```\n\tgit clone https://github.com/life4/textdistance\n\t```\n- [PyPi](https://pypi.org/project/textdistance) (📥 1.3M / month · 📦 99 · ⏱️ 16.07.2024):\n\t```\n\tpip install textdistance\n\t```\n- [Conda](https://anaconda.org/conda-forge/textdistance) (📥 970K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge textdistance\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/explosion/spacy-transformers\">spacy-transformers</a></b> (🥈28 ·  ⭐ 1.4K) - Use pretrained transformers like BERT, XLNet and GPT-2.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code>spacy</code></summary>\n\n- [GitHub](https://github.com/explosion/spacy-transformers) (👨‍💻 23 · 🔀 170 · 📥 610 · 📦 2.4K · ⏱️ 26.05.2025):\n\n\t```\n\tgit clone https://github.com/explosion/spacy-transformers\n\t```\n- [PyPi](https://pypi.org/project/spacy-transformers) (📥 270K / month · 📦 110 · ⏱️ 26.05.2025):\n\t```\n\tpip install spacy-transformers\n\t```\n- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (📥 140K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge spacy-transformers\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/unitaryai/detoxify\">detoxify</a></b> (🥉26 ·  ⭐ 1.1K) - Trained models & code to predict toxic comments on all 3 Jigsaw.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/unitaryai/detoxify) (👨‍💻 14 · 🔀 130 · 📥 1.9M · 📦 980 · 📋 67 - 55% open · ⏱️ 29.07.2025):\n\n\t```\n\tgit clone https://github.com/unitaryai/detoxify\n\t```\n- [PyPi](https://pypi.org/project/detoxify) (📥 140K / month · 📦 30 · ⏱️ 01.02.2024):\n\t```\n\tpip install detoxify\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/JasonKessler/scattertext\">scattertext</a></b> (🥉25 ·  ⭐ 2.3K) - Beautiful visualizations of how language differs among document.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/JasonKessler/scattertext) (👨‍💻 14 · 🔀 290 · 📦 670 · 📋 100 - 22% open · ⏱️ 29.04.2025):\n\n\t```\n\tgit clone https://github.com/JasonKessler/scattertext\n\t```\n- [PyPi](https://pypi.org/project/scattertext) (📥 7.5K / month · 📦 5 · ⏱️ 23.09.2024):\n\t```\n\tpip install scattertext\n\t```\n- [Conda](https://anaconda.org/conda-forge/scattertext) (📥 140K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge scattertext\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/google-research/text-to-text-transfer-transformer\">T5</a></b> (🥉24 ·  ⭐ 6.4K) - Code for the paper Exploring the Limits of Transfer Learning with a.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (👨‍💻 61 · 🔀 780 · 📋 450 - 23% open · ⏱️ 28.04.2025):\n\n\t```\n\tgit clone https://github.com/google-research/text-to-text-transfer-transformer\n\t```\n- [PyPi](https://pypi.org/project/t5) (📥 83K / month · 📦 2 · ⏱️ 18.10.2021):\n\t```\n\tpip install t5\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/zjunlp/DeepKE\">DeepKE</a></b> (🥉24 ·  ⭐ 4.2K) - [EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/zjunlp/DeepKE) (👨‍💻 34 · 🔀 730 · 📦 25 · ⏱️ 19.07.2025):\n\n\t```\n\tgit clone https://github.com/zjunlp/deepke\n\t```\n- [PyPi](https://pypi.org/project/deepke) (📥 950 / month · ⏱️ 21.09.2023):\n\t```\n\tpip install deepke\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/explosion/sense2vec\">sense2vec</a></b> (🥉24 ·  ⭐ 1.7K) - Contextually-keyed word vectors. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/explosion/sense2vec) (👨‍💻 20 · 🔀 240 · 📥 73K · 📦 470 · 📋 120 - 20% open · ⏱️ 23.04.2025):\n\n\t```\n\tgit clone https://github.com/explosion/sense2vec\n\t```\n- [PyPi](https://pypi.org/project/sense2vec) (📥 3.4K / month · 📦 13 · ⏱️ 19.04.2021):\n\t```\n\tpip install sense2vec\n\t```\n- [Conda](https://anaconda.org/conda-forge/sense2vec) (📥 67K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge sense2vec\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/IndicoDataSolutions/finetune\">finetune</a></b> (🥉23 ·  ⭐ 720) - Scikit-learn style model finetuning for NLP. <code><a href=\"http://bit.ly/3postzC\">MPL-2.0</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/IndicoDataSolutions/finetune) (👨‍💻 24 · 🔀 79 · 📦 16 · 📋 190 - 39% open · ⏱️ 21.10.2025):\n\n\t```\n\tgit clone https://github.com/IndicoDataSolutions/finetune\n\t```\n- [PyPi](https://pypi.org/project/finetune) (📥 2.7K / month · 📦 2 · ⏱️ 29.09.2023):\n\t```\n\tpip install finetune\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/EricFillion/happy-transformer\">happy-transformer</a></b> (🥉23 ·  ⭐ 540 · 💤) - Happy Transformer makes it easy to fine-tune and.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code>huggingface</code></summary>\n\n- [GitHub](https://github.com/EricFillion/happy-transformer) (👨‍💻 14 · 🔀 69 · 📦 330 · 📋 130 - 16% open · ⏱️ 22.03.2025):\n\n\t```\n\tgit clone https://github.com/EricFillion/happy-transformer\n\t```\n- [PyPi](https://pypi.org/project/happytransformer) (📥 2.7K / month · 📦 5 · ⏱️ 05.08.2023):\n\t```\n\tpip install happytransformer\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/awslabs/sockeye\">Sockeye</a></b> (🥉21 ·  ⭐ 1.2K · 💤) - Sequence-to-sequence framework with a focus on Neural.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1X\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/awslabs/sockeye) (👨‍💻 60 · 🔀 320 · 📥 21 · 📋 310 - 3% open · ⏱️ 24.10.2024):\n\n\t```\n\tgit clone https://github.com/awslabs/sockeye\n\t```\n- [PyPi](https://pypi.org/project/sockeye) (📥 580 / month · ⏱️ 03.03.2023):\n\t```\n\tpip install sockeye\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/unum-cloud/UForm\">UForm</a></b> (🥉21 ·  ⭐ 1.2K) - Pocket-Sized Multimodal AI for content understanding and.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/unum-cloud/UForm) (👨‍💻 21 · 🔀 76 · 📥 710 · 📦 36 · 📋 39 - 38% open · ⏱️ 03.09.2025):\n\n\t```\n\tgit clone https://github.com/unum-cloud/uform\n\t```\n- [PyPi](https://pypi.org/project/uform) (📥 490 / month · 📦 2 · ⏱️ 03.09.2025):\n\t```\n\tpip install uform\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/webis-de/small-text\">small-text</a></b> (🥉20 ·  ⭐ 630) - Active Learning for Text Classification in Python. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/webis-de/small-text) (👨‍💻 10 · 🔀 76 · 📦 34 · 📋 74 - 28% open · ⏱️ 28.10.2025):\n\n\t```\n\tgit clone https://github.com/webis-de/small-text\n\t```\n- [PyPi](https://pypi.org/project/small-text) (📥 390 / month · ⏱️ 17.08.2025):\n\t```\n\tpip install small-text\n\t```\n- [Conda](https://anaconda.org/conda-forge/small-text) (📥 19K · ⏱️ 17.08.2025):\n\t```\n\tconda install -c conda-forge small-text\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/dsfsi/textaugment\">textaugment</a></b> (🥉19 ·  ⭐ 430) - TextAugment: Text Augmentation Library. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/dsfsi/textaugment) (👨‍💻 10 · 🔀 60 · 📥 140 · 📦 180 · 📋 29 - 37% open · ⏱️ 09.09.2025):\n\n\t```\n\tgit clone https://github.com/dsfsi/textaugment\n\t```\n- [PyPi](https://pypi.org/project/textaugment) (📥 4.2K / month · 📦 4 · ⏱️ 16.11.2023):\n\t```\n\tpip install textaugment\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/facebookresearch/vizseq\">VizSeq</a></b> (🥉15 ·  ⭐ 450) - An Analysis Toolkit for Natural Language Generation (Translation,.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/facebookresearch/vizseq) (👨‍💻 4 · 🔀 61 · 📦 13 · 📋 16 - 43% open · ⏱️ 24.06.2025):\n\n\t```\n\tgit clone https://github.com/facebookresearch/vizseq\n\t```\n- [PyPi](https://pypi.org/project/vizseq) (📥 120 / month · ⏱️ 07.08.2020):\n\t```\n\tpip install vizseq\n\t```\n</details>\n<details><summary>Show 59 hidden projects...</summary>\n\n- <b><a href=\"https://github.com/allenai/allennlp\">AllenNLP</a></b> (🥈36 ·  ⭐ 12K · 💀) - An open-source NLP research library, built on PyTorch. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/facebookresearch/fastText\">fastText</a></b> (🥈34 ·  ⭐ 26K · 💀) - Library for fast text representation and classification. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/OpenNMT/OpenNMT-py\">OpenNMT</a></b> (🥈33 ·  ⭐ 7K · 💀) - Open Source Neural Machine Translation and (Large) Language Models.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/facebookresearch/ParlAI\">ParlAI</a></b> (🥈32 ·  ⭐ 11K · 💀) - A framework for training and evaluating AI models on a variety of.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/seatgeek/fuzzywuzzy\">fuzzywuzzy</a></b> (🥈31 ·  ⭐ 9.3K · 💀) - Fuzzy String Matching in Python. <code><a href=\"http://bit.ly/2KucAZR\">❗️GPL-2.0</a></code>\n- <b><a href=\"https://github.com/miso-belica/sumy\">Sumy</a></b> (🥈30 ·  ⭐ 3.6K · 💀) - Module for automatic summarization of text documents and HTML pages. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/undertheseanlp/underthesea\">underthesea</a></b> (🥈30 ·  ⭐ 1.6K) - Underthesea - Vietnamese NLP Toolkit. <code><a href=\"http://bit.ly/2M0xdwT\">❗️GPL-3.0</a></code>\n- <b><a href=\"https://github.com/makcedward/nlpaug\">nlpaug</a></b> (🥈29 ·  ⭐ 4.6K · 💀) - Data augmentation for NLP. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/cjhutto/vaderSentiment\">vaderSentiment</a></b> (🥈28 ·  ⭐ 4.9K · 💀) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/chartbeat-labs/textacy\">textacy</a></b> (🥈28 ·  ⭐ 2.2K · 💀) - NLP, before and after spaCy. <code>❗Unlicensed</code>\n- <b><a href=\"https://github.com/DerwenAI/pytextrank\">PyTextRank</a></b> (🥈28 ·  ⭐ 2.2K · 💀) - Python implementation of TextRank algorithms (textgraphs) for.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/bee-san/Ciphey\">Ciphey</a></b> (🥉27 ·  ⭐ 20K · 💀) - Automatically decrypt encryptions without knowing the key or cipher,.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/fastnlp/fastNLP\">fastNLP</a></b> (🥉27 ·  ⭐ 3.1K · 💀) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/aboSamoor/polyglot\">polyglot</a></b> (🥉27 ·  ⭐ 2.3K · 💀) - Multilingual text (NLP) processing toolkit. <code><a href=\"http://bit.ly/2M0xdwT\">❗️GPL-3.0</a></code>\n- <b><a href=\"https://github.com/vi3k6i5/flashtext\">flashtext</a></b> (🥉26 ·  ⭐ 5.7K · 💀) - Extract Keywords from sentence or Replace keywords in sentences. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/saffsd/langid.py\">langid</a></b> (🥉26 ·  ⭐ 2.4K · 💀) - Stand-alone language identification system. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/nipunsadvilkar/pySBD\">pySBD</a></b> (🥉26 ·  ⭐ 880 · 💀) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/huggingface/neuralcoref\">neuralcoref</a></b> (🥉25 ·  ⭐ 2.9K · 💀) - Fast Coreference Resolution in spaCy with Neural Networks. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/dmlc/gluon-nlp\">GluonNLP</a></b> (🥉25 ·  ⭐ 2.6K · 💀) - Toolkit that enables easy text preprocessing, datasets.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1X\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/PetrochukM/PyTorch-NLP\">pytorch-nlp</a></b> (🥉25 ·  ⭐ 2.2K · 💀) - Basic Utilities for PyTorch Natural Language Processing.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/mchaput/whoosh\">whoosh</a></b> (🥉25 ·  ⭐ 640 · 💀) - Pure-Python full-text search library. <code><a href=\"https://tldrlegal.com/search?q=BSD-1-Clause\">❗️BSD-1-Clause</a></code>\n- <b><a href=\"https://github.com/facebookresearch/pytext\">PyText</a></b> (🥉24 ·  ⭐ 6.3K · 💀) - A natural language modeling framework based on PyTorch. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/minimaxir/textgenrnn\">textgenrnn</a></b> (🥉24 ·  ⭐ 4.9K · 💀) - Easily train your own text-generating neural network of any.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/thunlp/OpenPrompt\">OpenPrompt</a></b> (🥉24 ·  ⭐ 4.7K · 💀) - An Open-Source Framework for Prompt-Learning. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/snipsco/snips-nlu\">Snips NLU</a></b> (🥉24 ·  ⭐ 3.9K · 💀) - Snips Python library to extract meaning from text. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/NTMC-Community/MatchZoo\">MatchZoo</a></b> (🥉24 ·  ⭐ 3.9K · 💀) - Facilitating the design, comparison and sharing of deep.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/bigscience-workshop/promptsource\">promptsource</a></b> (🥉24 ·  ⭐ 3K · 💀) - Toolkit for creating, sharing and using natural language.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/VKCOM/YouTokenToMe\">YouTokenToMe</a></b> (🥉24 ·  ⭐ 970 · 💀) - Unsupervised text tokenizer focused on computational efficiency. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/BrikerMan/Kashgari\">Kashgari</a></b> (🥉23 ·  ⭐ 2.4K · 💀) - Kashgari is a production-level NLP Transfer learning.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/deepset-ai/FARM\">FARM</a></b> (🥉23 ·  ⭐ 1.8K · 💀) - Fast & easy transfer learning for NLP. Harvesting language.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/minimaxir/gpt-2-simple\">gpt-2-simple</a></b> (🥉22 ·  ⭐ 3.4K · 💀) - Python package to easily retrain OpenAIs GPT-2 text-.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/asyml/texar\">Texar</a></b> (🥉22 ·  ⭐ 2.4K · 💀) - Toolkit for Machine Learning, Natural Language Processing, and.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/nyu-mll/jiant\">jiant</a></b> (🥉22 ·  ⭐ 1.7K · 💀) - jiant is an nlp toolkit. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/Alir3z4/python-stop-words\">stop-words</a></b> (🥉22 ·  ⭐ 160) - Get list of common stop words in various languages in Python. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/IntelLabs/nlp-architect\">NLP Architect</a></b> (🥉21 ·  ⭐ 2.9K · 💀) - A model library for exploring state-of-the-art deep.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/jbesomi/texthero\">Texthero</a></b> (🥉21 ·  ⭐ 2.9K · 💀) - Text preprocessing, representation and visualization from zero to.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/Hironsan/anago\">anaGo</a></b> (🥉21 ·  ⭐ 1.5K · 💀) - Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition,.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/bytedance/lightseq\">lightseq</a></b> (🥉20 ·  ⭐ 3.3K · 💀) - LightSeq: A High Performance Library for Sequence Processing.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/appvision-ai/fast-bert\">fast-bert</a></b> (🥉20 ·  ⭐ 1.9K · 💀) - Super easy library for BERT based NLP models. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/Delta-ML/delta\">DELTA</a></b> (🥉20 ·  ⭐ 1.6K · 💀) - DELTA is a deep learning based natural language and speech.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/textpipe/textpipe\">textpipe</a></b> (🥉20 ·  ⭐ 300 · 💀) - Textpipe: clean and extract metadata from text. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/jaidevd/numerizer\">numerizer</a></b> (🥉19 ·  ⭐ 230 · 💀) - A Python module to convert natural language numerics into ints and.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/vrasneur/pyfasttext\">pyfasttext</a></b> (🥉19 ·  ⭐ 230 · 💀) - Yet another Python binding for fastText. <code><a href=\"http://bit.ly/2M0xdwT\">❗️GPL-3.0</a></code>\n- <b><a href=\"https://github.com/anhaidgroup/deepmatcher\">DeepMatcher</a></b> (🥉18 ·  ⭐ 5.2K · 💀) - Python package for performing Entity and Text Matching using.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/koursaros-ai/nboost\">nboost</a></b> (🥉18 ·  ⭐ 670 · 💀) - NBoost is a scalable, search-api-boosting platform for deploying.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/Ki6an/fastT5\">fastT5</a></b> (🥉18 ·  ⭐ 590 · 💀) - boost inference speed of T5 models by 5x & reduce the model size.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/PKSHATechnology-Research/camphr\">Camphr</a></b> (🥉18 ·  ⭐ 340 · 💀) - Camphr - NLP libary for creating pipeline components. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code>spacy</code>\n- <b><a href=\"https://github.com/Franck-Dernoncourt/NeuroNER\">NeuroNER</a></b> (🥉17 ·  ⭐ 1.7K · 💀) - Named-entity recognition using neural networks. Easy-to-use and.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/thunlp/OpenNRE\">OpenNRE</a></b> (🥉16 ·  ⭐ 4.4K · 💀) - An Open-Source Package for Neural Relation Extraction (NRE). <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/facebookresearch/BLINK\">BLINK</a></b> (🥉15 ·  ⭐ 1.2K · 💀) - Entity Linker solution. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/RUCAIBox/TextBox\">TextBox</a></b> (🥉15 ·  ⭐ 1.1K · 💀) - TextBox 2.0 is a text generation library with pre-trained language.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/pytorch/translate\">Translate</a></b> (🥉15 ·  ⭐ 830 · 💀) - Translate - a PyTorch Language Library. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/shaypal5/skift\">skift</a></b> (🥉15 ·  ⭐ 240 · 💀) - scikit-learn wrappers for Python fastText. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/abelriboulot/onnxt5\">ONNX-T5</a></b> (🥉14 ·  ⭐ 260 · 💀) - Summarization, translation, sentiment-analysis, text-generation.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/victordibia/neuralqa\">NeuralQA</a></b> (🥉14 ·  ⭐ 230 · 💀) - NeuralQA: A Usable Library for Question Answering on Large Datasets.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/feedly/transfer-nlp\">TransferNLP</a></b> (🥉13 ·  ⭐ 290 · 💀) - NLP library designed for reproducible experimentation.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/spring-media/headliner\">Headliner</a></b> (🥉13 ·  ⭐ 230 · 💀) - Easy training and deployment of seq2seq models. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/textvec/textvec\">textvec</a></b> (🥉12 ·  ⭐ 200 · 💀) - Text vectorization tool to outperform TFIDF for classification.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/MartinoMensio/spacy-dbpedia-spotlight\">spacy-dbpedia-spotlight</a></b> (🥉12 ·  ⭐ 110 · 💀) - A spaCy wrapper for DBpedia Spotlight. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code>spacy</code>\n</details>\n<br>\n\n## Image Data\n\n<a href=\"#contents\"><img align=\"right\" width=\"15\" height=\"15\" src=\"https://git.io/JtehR\" alt=\"Back to top\"></a>\n\n_Libraries for image & video processing, manipulation, and augmentation as well as libraries for computer vision tasks such as facial recognition, object detection, and classification._\n\n<details><summary><b><a href=\"https://github.com/python-pillow/Pillow\">Pillow</a></b> (🥇49 ·  ⭐ 13K) - Python Imaging Library (Fork). <code><a href=\"https://tldrlegal.com/search?q=PIL\">❗️PIL</a></code></summary>\n\n- [GitHub](https://github.com/python-pillow/Pillow) (👨‍💻 490 · 🔀 2.3K · 📦 2.4M · 📋 3.4K - 3% open · ⏱️ 27.10.2025):\n\n\t```\n\tgit clone https://github.com/python-pillow/Pillow\n\t```\n- [PyPi](https://pypi.org/project/Pillow) (📥 220M / month · 📦 20K · ⏱️ 15.10.2025):\n\t```\n\tpip install Pillow\n\t```\n- [Conda](https://anaconda.org/conda-forge/pillow) (📥 62M · ⏱️ 28.10.2025):\n\t```\n\tconda install -c conda-forge pillow\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/huggingface/pytorch-image-models\">PyTorch Image Models</a></b> (🥇42 ·  ⭐ 36K) - The largest collection of PyTorch image encoders /.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/huggingface/pytorch-image-models) (👨‍💻 180 · 🔀 5.1K · 📥 8.4M · 📦 62K · 📋 1K - 4% open · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https://github.com/rwightman/pytorch-image-models\n\t```\n- [PyPi](https://pypi.org/project/timm) (📥 11M / month · 📦 1.5K · ⏱️ 24.10.2025):\n\t```\n\tpip install timm\n\t```\n- [Conda](https://anaconda.org/conda-forge/timm) (📥 470K · ⏱️ 24.10.2025):\n\t```\n\tconda install -c conda-forge timm\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/pytorch/vision\">torchvision</a></b> (🥇42 ·  ⭐ 17K) - Datasets, Transforms and Models specific to Computer Vision. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/pytorch/vision) (👨‍💻 660 · 🔀 7.2K · 📥 41K · 📦 21 · 📋 3.8K - 30% open · ⏱️ 27.10.2025):\n\n\t```\n\tgit clone https://github.com/pytorch/vision\n\t```\n- [PyPi](https://pypi.org/project/torchvision) (📥 26M / month · 📦 8.4K · ⏱️ 15.10.2025):\n\t```\n\tpip install torchvision\n\t```\n- [Conda](https://anaconda.org/conda-forge/torchvision) (📥 3.1M · ⏱️ 23.10.2025):\n\t```\n\tconda install -c conda-forge torchvision\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/Zulko/moviepy\">MoviePy</a></b> (🥇42 ·  ⭐ 14K) - Video editing with Python. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/Zulko/moviepy) (👨‍💻 190 · 🔀 1.9K · 📦 67K · 📋 1.7K - 3% open · ⏱️ 25.09.2025):\n\n\t```\n\tgit clone https://github.com/Zulko/moviepy\n\t```\n- [PyPi](https://pypi.org/project/moviepy) (📥 4.3M / month · 📦 1.2K · ⏱️ 21.05.2025):\n\t```\n\tpip install moviepy\n\t```\n- [Conda](https://anaconda.org/conda-forge/moviepy) (📥 360K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge moviepy\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/kornia/kornia\">Kornia</a></b> (🥇39 ·  ⭐ 11K) - Geometric Computer Vision Library for Spatial AI. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/kornia/kornia) (👨‍💻 300 · 🔀 1.1K · 📥 2.2K · 📦 17K · 📋 1K - 32% open · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https://github.com/kornia/kornia\n\t```\n- [PyPi](https://pypi.org/project/kornia) (📥 3M / month · 📦 340 · ⏱️ 08.05.2025):\n\t```\n\tpip install kornia\n\t```\n- [Conda](https://anaconda.org/conda-forge/kornia) (📥 260K · ⏱️ 08.05.2025):\n\t```\n\tconda install -c conda-forge kornia\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/imageio/imageio\">imageio</a></b> (🥇39 ·  ⭐ 1.7K) - Python library for reading and writing image data. <code><a href=\"http://bit.ly/3rqEWVr\">BSD-2</a></code></summary>\n\n- [GitHub](https://github.com/imageio/imageio) (👨‍💻 130 · 🔀 330 · 📥 1.9K · 📦 180K · 📋 620 - 16% open · ⏱️ 24.10.2025):\n\n\t```\n\tgit clone https://github.com/imageio/imageio\n\t```\n- [PyPi](https://pypi.org/project/imageio) (📥 36M / month · 📦 2.6K · ⏱️ 20.01.2025):\n\t```\n\tpip install imageio\n\t```\n- [Conda](https://anaconda.org/conda-forge/imageio) (📥 8.5M · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge imageio\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/serengil/deepface\">deepface</a></b> (🥈38 ·  ⭐ 21K · 📉) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/serengil/deepface) (👨‍💻 96 · 🔀 2.8K · 📦 8.4K · 📋 1.2K - 0% open · ⏱️ 21.10.2025):\n\n\t```\n\tgit clone https://github.com/serengil/deepface\n\t```\n- [PyPi](https://pypi.org/project/deepface) (📥 280K / month · 📦 78 · ⏱️ 05.08.2025):\n\t```\n\tpip install deepface\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/deepinsight/insightface\">InsightFace</a></b> (🥈37 ·  ⭐ 27K) - State-of-the-art 2D and 3D Face Analysis Project. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1X\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/deepinsight/insightface) (👨‍💻 67 · 🔀 5.7K · 📥 11M · 📦 4.8K · 📋 2.6K - 46% open · ⏱️ 27.09.2025):\n\n\t```\n\tgit clone https://github.com/deepinsight/insightface\n\t```\n- [PyPi](https://pypi.org/project/insightface) (📥 350K / month · 📦 30 · ⏱️ 17.12.2022):\n\t```\n\tpip install insightface\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/albumentations-team/albumentations\">Albumentations</a></b> (🥈36 ·  ⭐ 15K) - Fast and flexible image augmentation library. Paper about.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/albumentations-team/albumentations) (👨‍💻 170 · 🔀 1.7K · 📋 1.5K - 14% open · ⏱️ 25.06.2025):\n\n\t```\n\tgit clone https://github.com/albumentations-team/albumentations\n\t```\n- [PyPi](https://pypi.org/project/albumentations) (📥 4.6M / month · 📦 730 · ⏱️ 27.05.2025):\n\t```\n\tpip install albumentations\n\t```\n- [Conda](https://anaconda.org/conda-forge/albumentations) (📥 340K · ⏱️ 28.05.2025):\n\t```\n\tconda install -c conda-forge albumentations\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/opencv/opencv-python\">opencv-python</a></b> (🥈36 ·  ⭐ 5.1K) - Automated CI toolchain to produce precompiled opencv-python,.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/opencv/opencv-python) (👨‍💻 56 · 🔀 950 · 📦 610K · 📋 890 - 19% open · ⏱️ 30.07.2025):\n\n\t```\n\tgit clone https://github.com/opencv/opencv-python\n\t```\n- [PyPi](https://pypi.org/project/opencv-python) (📥 29M / month · 📦 15K · ⏱️ 07.07.2025):\n\t```\n\tpip install opencv-python\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/facebookresearch/detectron2\">detectron2</a></b> (🥈34 ·  ⭐ 34K) - Detectron2 is a platform for object detection, segmentation.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/facebookresearch/detectron2) (👨‍💻 280 · 🔀 7.5K · 📦 2.6K · 📋 3.6K - 14% open · ⏱️ 27.10.2025):\n\n\t```\n\tgit clone https://github.com/facebookresearch/detectron2\n\t```\n- [PyPi](https://pypi.org/project/detectron2) (📦 13 · ⏱️ 06.02.2020):\n\t```\n\tpip install detectron2\n\t```\n- [Conda](https://anaconda.org/conda-forge/detectron2) (📥 820K · ⏱️ 02.06.2025):\n\t```\n\tconda install -c conda-forge detectron2\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/emcconville/wand\">Wand</a></b> (🥈34 ·  ⭐ 1.5K) - The ctypes-based simple ImageMagick binding for Python. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/emcconville/wand) (👨‍💻 110 · 🔀 200 · 📥 52K · 📦 21K · 📋 440 - 5% open · ⏱️ 06.10.2025):\n\n\t```\n\tgit clone https://github.com/emcconville/wand\n\t```\n- [PyPi](https://pypi.org/project/wand) (📥 2.2M / month · 📦 260 · ⏱️ 03.11.2023):\n\t```\n\tpip install wand\n\t```\n- [Conda](https://anaconda.org/conda-forge/wand) (📥 180K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge wand\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/JohannesBuchner/imagehash\">ImageHash</a></b> (🥈32 ·  ⭐ 3.7K) - A Python Perceptual Image Hashing Module. <code><a href=\"http://bit.ly/3rqEWVr\">BSD-2</a></code></summary>\n\n- [GitHub](https://github.com/JohannesBuchner/imagehash) (👨‍💻 29 · 🔀 340 · 📦 18K · 📋 150 - 15% open · ⏱️ 17.04.2025):\n\n\t```\n\tgit clone https://github.com/JohannesBuchner/imagehash\n\t```\n- [PyPi](https://pypi.org/project/ImageHash) (📥 5.6M / month · 📦 270 · ⏱️ 01.02.2025):\n\t```\n\tpip install ImageHash\n\t```\n- [Conda](https://anaconda.org/conda-forge/imagehash) (📥 500K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge imagehash\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/lucidrains/vit-pytorch\">vit-pytorch</a></b> (🥈31 ·  ⭐ 24K) - Implementation of Vision Transformer, a simple way to achieve.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/lucidrains/vit-pytorch) (👨‍💻 24 · 🔀 3.4K · 📦 21 · 📋 290 - 49% open · ⏱️ 28.10.2025):\n\n\t```\n\tgit clone https://github.com/lucidrains/vit-pytorch\n\t```\n- [PyPi](https://pypi.org/project/vit-pytorch) (📥 31K / month · 📦 28 · ⏱️ 27.10.2025):\n\t```\n\tpip install vit-pytorch\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/PaddlePaddle/PaddleSeg\">PaddleSeg</a></b> (🥈31 ·  ⭐ 9.2K) - Easy-to-use image segmentation library with awesome pre-.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1M\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (👨‍💻 130 · 🔀 1.7K · 📦 1.5K · 📋 2.2K - 0% open · ⏱️ 10.10.2025):\n\n\t```\n\tgit clone https://github.com/PaddlePaddle/PaddleSeg\n\t```\n- [PyPi](https://pypi.org/project/paddleseg) (📥 3.8K / month · 📦 7 · ⏱️ 30.11.2022):\n\t```\n\tpip install paddleseg\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/obss/sahi\">sahi</a></b> (🥈31 ·  ⭐ 4.9K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/obss/sahi) (👨‍💻 69 · 🔀 700 · 📥 43K · 📦 1.9K · ⏱️ 28.10.2025):\n\n\t```\n\tgit clone https://github.com/obss/sahi\n\t```\n- [PyPi](https://pypi.org/project/sahi) (📥 140K / month · 📦 43 · ⏱️ 28.09.2025):\n\t```\n\tpip install sahi\n\t```\n- [Conda](https://anaconda.org/conda-forge/sahi) (📥 120K · ⏱️ 29.09.2025):\n\t```\n\tconda install -c conda-forge sahi\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/lightly-ai/lightly\">lightly</a></b> (🥈31 ·  ⭐ 3.6K) - A python library for self-supervised learning on images. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/lightly-ai/lightly) (👨‍💻 72 · 🔀 310 · 📦 510 · 📋 610 - 12% open · ⏱️ 25.09.2025):\n\n\t```\n\tgit clone https://github.com/lightly-ai/lightly\n\t```\n- [PyPi](https://pypi.org/project/lightly) (📥 190K / month · 📦 20 · ⏱️ 22.07.2025):\n\t```\n\tpip install lightly\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/mindee/doctr\">doctr</a></b> (🥈29 ·  ⭐ 5.6K) - docTR (Document Text Recognition) - a seamless, high-.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/mindee/doctr) (👨‍💻 68 · 🔀 580 · 📥 6.5M · 📋 440 - 6% open · ⏱️ 07.09.2025):\n\n\t```\n\tgit clone https://github.com/mindee/doctr\n\t```\n- [PyPi](https://pypi.org/project/python-doctr) (📥 2M / month · 📦 18 · ⏱️ 09.07.2025):\n\t```\n\tpip install python-doctr\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/PaddlePaddle/PaddleDetection\">PaddleDetection</a></b> (🥉28 ·  ⭐ 14K) - Object Detection toolkit based on PaddlePaddle. It.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1M\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (👨‍💻 190 · 🔀 3K · 📋 5.7K - 17% open · ⏱️ 10.10.2025):\n\n\t```\n\tgit clone https://github.com/PaddlePaddle/PaddleDetection\n\t```\n- [PyPi](https://pypi.org/project/paddledet) (📥 2.2K / month · 📦 2 · ⏱️ 19.09.2022):\n\t```\n\tpip install paddledet\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/ipazc/mtcnn\">mtcnn</a></b> (🥉27 ·  ⭐ 2.4K · 💤) - MTCNN face detection implementation for TensorFlow, as a PIP.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/ipazc/mtcnn) (👨‍💻 15 · 🔀 530 · 📥 76 · 📦 9.2K · 📋 130 - 37% open · ⏱️ 08.10.2024):\n\n\t```\n\tgit clone https://github.com/ipazc/mtcnn\n\t```\n- [PyPi](https://pypi.org/project/mtcnn) (📥 210K / month · 📦 73 · ⏱️ 08.10.2024):\n\t```\n\tpip install mtcnn\n\t```\n- [Conda](https://anaconda.org/conda-forge/mtcnn) (📥 16K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge mtcnn\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/CellProfiler/CellProfiler\">CellProfiler</a></b> (🥉27 ·  ⭐ 1.1K) - An open-source application for biological image analysis. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code></summary>\n\n- [GitHub](https://github.com/CellProfiler/CellProfiler) (👨‍💻 150 · 🔀 410 · 📥 24K · 📦 28 · 📋 3.4K - 10% open · ⏱️ 24.09.2025):\n\n\t```\n\tgit clone https://github.com/CellProfiler/CellProfiler\n\t```\n- [PyPi](https://pypi.org/project/cellprofiler) (📥 1.6K / month · 📦 2 · ⏱️ 16.09.2024):\n\t```\n\tpip install cellprofiler\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/luispedro/mahotas\">mahotas</a></b> (🥉27 ·  ⭐ 880) - Computer Vision in Python. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/luispedro/mahotas) (👨‍💻 35 · 🔀 150 · 📦 1.6K · 📋 92 - 21% open · ⏱️ 05.08.2025):\n\n\t```\n\tgit clone https://github.com/luispedro/mahotas\n\t```\n- [PyPi](https://pypi.org/project/mahotas) (📥 42K / month · 📦 63 · ⏱️ 17.07.2024):\n\t```\n\tpip install mahotas\n\t```\n- [Conda](https://anaconda.org/conda-forge/mahotas) (📥 790K · ⏱️ 21.10.2025):\n\t```\n\tconda install -c conda-forge mahotas\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/idealo/imagededup\">Image Deduplicator</a></b> (🥉26 ·  ⭐ 5.5K) - Finding duplicate images made easy!. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/idealo/imagededup) (👨‍💻 19 · 🔀 460 · 📥 29 · 📦 200 · 📋 140 - 25% open · ⏱️ 15.08.2025):\n\n\t```\n\tgit clone https://github.com/idealo/imagededup\n\t```\n- [PyPi](https://pypi.org/project/imagededup) (📥 69K / month · 📦 29 · ⏱️ 15.08.2025):\n\t```\n\tpip install imagededup\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/tensorflow/graphics\">tensorflow-graphics</a></b> (🥉26 ·  ⭐ 2.8K · 💤) - TensorFlow Graphics: Differentiable Graphics Layers.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/tensorflow/graphics) (👨‍💻 39 · 🔀 370 · 📋 240 - 60% open · ⏱️ 03.02.2025):\n\n\t```\n\tgit clone https://github.com/tensorflow/graphics\n\t```\n- [PyPi](https://pypi.org/project/tensorflow-graphics) (📥 61K / month · 📦 11 · ⏱️ 03.12.2021):\n\t```\n\tpip install tensorflow-graphics\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/tryolabs/norfair\">Norfair</a></b> (🥉26 ·  ⭐ 2.5K) - Lightweight Python library for adding real-time multi-object tracking.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code></summary>\n\n- [GitHub](https://github.com/tryolabs/norfair) (👨‍💻 32 · 🔀 260 · 📥 360 · 📦 340 · 📋 180 - 16% open · ⏱️ 30.04.2025):\n\n\t```\n\tgit clone https://github.com/tryolabs/norfair\n\t```\n- [PyPi](https://pypi.org/project/norfair) (📥 44K / month · 📦 9 · ⏱️ 30.04.2025):\n\t```\n\tpip install norfair\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/libvips/pyvips\">pyvips</a></b> (🥉26 ·  ⭐ 740) - python binding for libvips using cffi. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/libvips/pyvips) (👨‍💻 17 · 🔀 53 · 📦 1.2K · 📋 670 - 29% open · ⏱️ 04.09.2025):\n\n\t```\n\tgit clone https://github.com/libvips/pyvips\n\t```\n- [PyPi](https://pypi.org/project/pyvips) (📥 190K / month · 📦 94 · ⏱️ 28.04.2025):\n\t```\n\tpip install pyvips\n\t```\n- [Conda](https://anaconda.org/conda-forge/pyvips) (📥 260K · ⏱️ 04.09.2025):\n\t```\n\tconda install -c conda-forge pyvips\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/facebookresearch/pytorchvideo\">pytorchvideo</a></b> (🥉25 ·  ⭐ 3.5K) - A deep learning library for video understanding research. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/facebookresearch/pytorchvideo) (👨‍💻 59 · 🔀 420 · 📋 210 - 50% open · ⏱️ 27.10.2025):\n\n\t```\n\tgit clone https://github.com/facebookresearch/pytorchvideo\n\t```\n- [PyPi](https://pypi.org/project/pytorchvideo) (📥 53K / month · 📦 24 · ⏱️ 20.01.2022):\n\t```\n\tpip install pytorchvideo\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/facebookresearch/mmf\">MMF</a></b> (🥉24 ·  ⭐ 5.6K) - A modular framework for vision & language multimodal research from.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/facebookresearch/mmf) (👨‍💻 120 · 🔀 920 · 📦 23 · 📋 690 - 21% open · ⏱️ 24.04.2025):\n\n\t```\n\tgit clone https://github.com/facebookresearch/mmf\n\t```\n- [PyPi](https://pypi.org/project/mmf) (📥 190 / month · 📦 1 · ⏱️ 12.06.2020):\n\t```\n\tpip install mmf\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/google-research/kubric\">kubric</a></b> (🥉22 ·  ⭐ 2.6K) - A data generation pipeline for creating semi-realistic synthetic.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/google-research/kubric) (👨‍💻 32 · 🔀 250 · 📦 7 · 📋 200 - 35% open · ⏱️ 06.05.2025):\n\n\t```\n\tgit clone https://github.com/google-research/kubric\n\t```\n- [PyPi](https://pypi.org/project/kubric-nightly) (📥 6.6K / month · ⏱️ 27.12.2023):\n\t```\n\tpip install kubric-nightly\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/airctic/icevision\">icevision</a></b> (🥉22 ·  ⭐ 870 · 💤) - An Agnostic Computer Vision Framework - Pluggable to any.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/airctic/icevision) (👨‍💻 41 · 🔀 130 · 📋 570 - 10% open · ⏱️ 31.10.2024):\n\n\t```\n\tgit clone https://github.com/airctic/icevision\n\t```\n- [PyPi](https://pypi.org/project/icevision) (📥 2.3K / month · 📦 6 · ⏱️ 10.02.2022):\n\t```\n\tpip install icevision\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/facebookresearch/SlowFast\">PySlowFast</a></b> (🥉21 ·  ⭐ 7.2K) - PySlowFast: video understanding codebase from FAIR for.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/facebookresearch/SlowFast) (👨‍💻 35 · 🔀 1.2K · 📦 23 · 📋 720 - 59% open · ⏱️ 27.10.2025):\n\n\t```\n\tgit clone https://github.com/facebookresearch/SlowFast\n\t```\n- [PyPi](https://pypi.org/project/pyslowfast) (📥 22 / month · ⏱️ 15.01.2020):\n\t```\n\tpip install pyslowfast\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/idealo/image-super-resolution\">Image Super-Resolution</a></b> (🥉21 ·  ⭐ 4.8K · 💤) - Super-scale your images and run experiments with.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/idealo/image-super-resolution) (👨‍💻 11 · 🔀 760 · 📋 220 - 48% open · ⏱️ 18.12.2024):\n\n\t```\n\tgit clone https://github.com/idealo/image-super-resolution\n\t```\n- [PyPi](https://pypi.org/project/ISR) (📥 3.9K / month · 📦 5 · ⏱️ 08.01.2020):\n\t```\n\tpip install ISR\n\t```\n- [Docker Hub](https://hub.docker.com/r/idealo/image-super-resolution-gpu) (📥 290 · ⭐ 1 · ⏱️ 01.04.2019):\n\t```\n\tdocker pull idealo/image-super-resolution-gpu\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/jasmcaus/caer\">Caer</a></b> (🥉21 ·  ⭐ 800) - A lightweight Computer Vision library. Scale your models, not boilerplate. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/jasmcaus/caer) (👨‍💻 8 · 🔀 110 · 📥 48 · ⏱️ 11.08.2025):\n\n\t```\n\tgit clone https://github.com/jasmcaus/caer\n\t```\n- [PyPi](https://pypi.org/project/caer) (📥 3.8K / month · 📦 3 · ⏱️ 11.08.2025):\n\t```\n\tpip install caer\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/google-research/scenic\">scenic</a></b> (🥉16 ·  ⭐ 3.7K) - Scenic: A Jax Library for Computer Vision Research and Beyond. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://jax.readthedocs.io/en/latest/_static/favicon.png\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/google-research/scenic) (👨‍💻 95 · 🔀 460 · 📋 400 - 70% open · ⏱️ 06.08.2025):\n\n\t```\n\tgit clone https://github.com/google-research/scenic\n\t```\n</details>\n<details><summary>Show 30 hidden projects...</summary>\n\n- <b><a href=\"https://github.com/scikit-image/scikit-image\">scikit-image</a></b> (🥇41 ·  ⭐ 6.4K · 📈) - Image processing in Python. <code>❗Unlicensed</code>\n- <b><a href=\"https://github.com/glfw/glfw\">glfw</a></b> (🥈38 ·  ⭐ 14K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. <code><a href=\"https://tldrlegal.com/search?q=Zlib\">❗️Zlib</a></code>\n- <b><a href=\"https://github.com/open-mmlab/mmdetection\">MMDetection</a></b> (🥈37 ·  ⭐ 32K · 💀) - OpenMMLab Detection Toolbox and Benchmark. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/aleju/imgaug\">imgaug</a></b> (🥈36 ·  ⭐ 15K · 💀) - Image augmentation for machine learning experiments. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/ageitgey/face_recognition\">Face Recognition</a></b> (🥈35 ·  ⭐ 56K · 💀) - The worlds simplest facial recognition api for Python.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/PyImageSearch/imutils\">imutils</a></b> (🥈31 ·  ⭐ 4.6K · 💀) - A series of convenience functions to make basic image processing.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/facebookresearch/pytorch3d\">PyTorch3D</a></b> (🥈30 ·  ⭐ 9.6K) - PyTorch3D is FAIRs library of reusable components for.. <code>❗Unlicensed</code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/OlafenwaMoses/ImageAI\">imageai</a></b> (🥈30 ·  ⭐ 8.8K · 💀) - A python library built to empower developers to build applications.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/1adrianb/face-alignment\">Face Alignment</a></b> (🥉28 ·  ⭐ 7.4K · 💀) - 2D and 3D Face alignment library build using pytorch. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/dmlc/gluon-cv\">GluonCV</a></b> (🥉27 ·  ⭐ 5.9K · 💀) - Gluon CV Toolkit. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1X\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/mdbloice/Augmentor\">Augmentor</a></b> (🥉27 ·  ⭐ 5.1K · 💀) - Image augmentation library in Python for machine learning. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/abhiTronix/vidgear\">vidgear</a></b> (🥉27 ·  ⭐ 3.6K · 💀) - A High-performance cross-platform Video Processing Python.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/chainer/chainercv\">chainercv</a></b> (🥉27 ·  ⭐ 1.5K · 💀) - ChainerCV: a Library for Deep Learning in Computer Vision. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/timesler/facenet-pytorch\">facenet-pytorch</a></b> (🥉26 ·  ⭐ 5K · 💀) - Pretrained Pytorch face detection (MTCNN) and facial.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/uploadcare/pillow-simd\">Pillow-SIMD</a></b> (🥉25 ·  ⭐ 2.2K · 💀) - The friendly PIL fork. <code><a href=\"https://tldrlegal.com/search?q=PIL\">❗️PIL</a></code>\n- <b><a href=\"https://github.com/Layout-Parser/layout-parser\">layout-parser</a></b> (🥉24 ·  ⭐ 5.6K · 💀) - A Unified Toolkit for Deep Learning Based Document Image.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/qubvel/segmentation_models\">segmentation_models</a></b> (🥉24 ·  ⭐ 4.9K · 💀) - Segmentation models with pretrained backbones. Keras.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/libffcv/ffcv\">ffcv</a></b> (🥉23 ·  ⭐ 3K · 💀) - FFCV: Fast Forward Computer Vision (and other ML workloads!). <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/facebookresearch/ClassyVision\">Classy Vision</a></b> (🥉23 ·  ⭐ 1.6K · 💀) - An end-to-end PyTorch framework for image and video.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/lucidrains/deep-daze\">deep-daze</a></b> (🥉22 ·  ⭐ 4.3K · 💀) - Simple command line tool for text to image generation using.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/facebookresearch/vissl\">vissl</a></b> (🥉22 ·  ⭐ 3.3K · 💀) - VISSL is FAIRs library of extensible, modular and scalable.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/tryolabs/luminoth\">Luminoth</a></b> (🥉22 ·  ⭐ 2.4K · 💀) - Deep Learning toolkit for Computer Vision. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/alankbi/detecto\">detecto</a></b> (🥉21 ·  ⭐ 620 · 💀) - Build fully-functioning computer vision models with PyTorch. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/facebookresearch/detr\">DE⫶TR</a></b> (🥉20 ·  ⭐ 15K · 💀) - End-to-End Object Detection with Transformers. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/rhsimplex/image-match\">image-match</a></b> (🥉20 ·  ⭐ 3K · 💀) - Quickly search over billions of images. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/imedslab/solt\">solt</a></b> (🥉19 ·  ⭐ 260) - Streaming over lightweight data transformations. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/facebookresearch/pycls\">pycls</a></b> (🥉18 ·  ⭐ 2.2K · 💀) - Codebase for Image Classification Research, written in PyTorch. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/nicolas-chaulet/torch-points3d\">Torch Points 3D</a></b> (🥉17 ·  ⭐ 260 · 💀) - Pytorch framework for doing deep learning on point.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/hhatto/nude.py\">nude.py</a></b> (🥉16 ·  ⭐ 920 · 💀) - Nudity detection with Python. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/qanastek/HugsVision\">HugsVision</a></b> (🥉14 ·  ⭐ 200 · 💀) - HugsVision is a easy to use huggingface wrapper for state-of-.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code>huggingface</code>\n</details>\n<br>\n\n## Graph Data\n\n<a href=\"#contents\"><img align=\"right\" width=\"15\" height=\"15\" src=\"https://git.io/JtehR\" alt=\"Back to top\"></a>\n\n_Libraries for graph processing, clustering, embedding, and machine learning tasks._\n\n<details><summary><b><a href=\"https://github.com/networkx/networkx\">networkx</a></b> (🥇46 ·  ⭐ 16K) - Network Analysis in Python. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code></summary>\n\n- [GitHub](https://github.com/networkx/networkx) (👨‍💻 790 · 🔀 3.4K · 📥 110 · 📦 430K · 📋 3.5K - 10% open · ⏱️ 29.10.2025):\n\n\t```\n\tgit clone https://github.com/networkx/networkx\n\t```\n- [PyPi](https://pypi.org/project/networkx) (📥 130M / month · 📦 12K · ⏱️ 29.05.2025):\n\t```\n\tpip install networkx\n\t```\n- [Conda](https://anaconda.org/conda-forge/networkx) (📥 26M · ⏱️ 04.06.2025):\n\t```\n\tconda install -c conda-forge networkx\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/pyg-team/pytorch_geometric\">PyTorch Geometric</a></b> (🥇41 ·  ⭐ 23K) - Graph Neural Network Library for PyTorch. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/pyg-team/pytorch_geometric) (👨‍💻 560 · 🔀 3.9K · 📦 11K · 📋 4K - 30% open · ⏱️ 29.10.2025):\n\n\t```\n\tgit clone https://github.com/pyg-team/pytorch_geometric\n\t```\n- [PyPi](https://pypi.org/project/torch-geometric) (📥 940K / month · 📦 730 · ⏱️ 15.10.2025):\n\t```\n\tpip install torch-geometric\n\t```\n- [Conda](https://anaconda.org/conda-forge/pytorch_geometric) (📥 190K · ⏱️ 16.10.2025):\n\t```\n\tconda install -c conda-forge pytorch_geometric\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/dmlc/dgl\">dgl</a></b> (🥇36 ·  ⭐ 14K) - Python package built to ease deep learning on graph, on top of existing DL.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/dmlc/dgl) (👨‍💻 300 · 🔀 3K · 📦 4.1K · 📋 3K - 20% open · ⏱️ 31.07.2025):\n\n\t```\n\tgit clone https://github.com/dmlc/dgl\n\t```\n- [PyPi](https://pypi.org/project/dgl) (📥 150K / month · 📦 150 · ⏱️ 13.05.2024):\n\t```\n\tpip install dgl\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/graphistry/pygraphistry\">pygraphistry</a></b> (🥈29 ·  ⭐ 2.4K) - PyGraphistry is a Python library to quickly load, shape,.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/graphistry/pygraphistry) (👨‍💻 48 · 🔀 220 · 📋 420 - 51% open · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https://github.com/graphistry/pygraphistry\n\t```\n- [PyPi](https://pypi.org/project/graphistry) (📥 8.5K / month · 📦 9 · ⏱️ 21.10.2025):\n\t```\n\tpip install graphistry\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/snap-stanford/ogb\">ogb</a></b> (🥈29 ·  ⭐ 2K) - Benchmark datasets, data loaders, and evaluators for graph machine learning. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/snap-stanford/ogb) (👨‍💻 32 · 🔀 400 · 📦 2.6K · 📋 310 - 11% open · ⏱️ 06.05.2025):\n\n\t```\n\tgit clone https://github.com/snap-stanford/ogb\n\t```\n- [PyPi](https://pypi.org/project/ogb) (📥 100K / month · 📦 73 · ⏱️ 07.04.2023):\n\t```\n\tpip install ogb\n\t```\n- [Conda](https://anaconda.org/conda-forge/ogb) (📥 63K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge ogb\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/pykeen/pykeen\">PyKEEN</a></b> (🥈28 ·  ⭐ 1.9K) - A Python library for learning and evaluating knowledge graph embeddings. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/pykeen/pykeen) (👨‍💻 43 · 🔀 210 · 📥 240 · 📦 350 · 📋 590 - 20% open · ⏱️ 18.07.2025):\n\n\t```\n\tgit clone https://github.com/pykeen/pykeen\n\t```\n- [PyPi](https://pypi.org/project/pykeen) (📥 31K / month · 📦 28 · ⏱️ 24.04.2025):\n\t```\n\tpip install pykeen\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/benedekrozemberczki/pytorch_geometric_temporal\">pytorch_geometric_temporal</a></b> (🥈27 ·  ⭐ 2.9K) - PyTorch Geometric Temporal: Spatiotemporal Signal.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) (👨‍💻 39 · 🔀 400 · 📋 210 - 18% open · ⏱️ 18.09.2025):\n\n\t```\n\tgit clone https://github.com/benedekrozemberczki/pytorch_geometric_temporal\n\t```\n- [PyPi](https://pypi.org/project/torch-geometric-temporal) (📥 6.7K / month · 📦 12 · ⏱️ 16.07.2025):\n\t```\n\tpip install torch-geometric-temporal\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/rusty1s/pytorch_cluster\">torch-cluster</a></b> (🥈24 ·  ⭐ 900) - PyTorch Extension Library of Optimized Graph Cluster.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/rusty1s/pytorch_cluster) (👨‍💻 40 · 🔀 150 · 📋 190 - 16% open · ⏱️ 12.08.2025):\n\n\t```\n\tgit clone https://github.com/rusty1s/pytorch_cluster\n\t```\n- [PyPi](https://pypi.org/project/torch-cluster) (📥 34K / month · 📦 62 · ⏱️ 12.10.2023):\n\t```\n\tpip install torch-cluster\n\t```\n- [Conda](https://anaconda.org/conda-forge/pytorch_cluster) (📥 440K · ⏱️ 22.09.2025):\n\t```\n\tconda install -c conda-forge pytorch_cluster\n\t```\n</details>\n<details><summary>Show 28 hidden projects...</summary>\n\n- <b><a href=\"https://github.com/igraph/python-igraph\">igraph</a></b> (🥇34 ·  ⭐ 1.4K) - Python interface for igraph. <code><a href=\"http://bit.ly/2KucAZR\">❗️GPL-2.0</a></code>\n- <b><a href=\"https://github.com/danielegrattarola/spektral\">Spektral</a></b> (🥈28 ·  ⭐ 2.4K · 💀) - Graph Neural Networks with Keras and Tensorflow 2. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/stellargraph/stellargraph\">StellarGraph</a></b> (🥈27 ·  ⭐ 3K · 💀) - StellarGraph - Machine Learning on Graphs. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/Kozea/pygal\">pygal</a></b> (🥈26 ·  ⭐ 2.7K · 💀) - PYthon svg GrAph plotting Library. <code><a href=\"http://bit.ly/37RvQcA\">❗️LGPL-3.0</a></code>\n- <b><a href=\"https://github.com/PaddlePaddle/PGL\">Paddle Graph Learning</a></b> (🥈26 ·  ⭐ 1.6K · 💀) - Paddle Graph Learning (PGL) is an efficient and.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1M\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/Accenture/AmpliGraph\">AmpliGraph</a></b> (🥈25 ·  ⭐ 2.2K · 💀) - Python library for Representation Learning on Knowledge.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/eliorc/node2vec\">Node2Vec</a></b> (🥈25 ·  ⭐ 1.3K · 💀) - Implementation of the node2vec algorithm. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/benedekrozemberczki/karateclub\">Karate Club</a></b> (🥈24 ·  ⭐ 2.3K · 💀) - Karate Club: An API Oriented Open-source Python Framework.. <code><a href=\"http://bit.ly/2M0xdwT\">❗️GPL-3.0</a></code>\n- <b><a href=\"https://github.com/google-deepmind/graph_nets\">graph-nets</a></b> (🥉22 ·  ⭐ 5.4K · 💀) - Build Graph Nets in Tensorflow. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/facebookresearch/PyTorch-BigGraph\">PyTorch-BigGraph</a></b> (🥉21 ·  ⭐ 3.4K · 💀) - Generate embeddings from large-scale graph-structured.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/graph4ai/graph4nlp\">graph4nlp</a></b> (🥉21 ·  ⭐ 1.7K · 💀) - Graph4nlp is the library for the easy use of Graph.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/google-deepmind/jraph\">jraph</a></b> (🥉21 ·  ⭐ 1.5K · 💀) - A Graph Neural Network Library in Jax. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://jax.readthedocs.io/en/latest/_static/favicon.png\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/phanein/deepwalk\">DeepWalk</a></b> (🥉20 ·  ⭐ 2.7K · 💀) - DeepWalk - Deep Learning for Graphs. <code><a href=\"http://bit.ly/2M0xdwT\">❗️GPL-3.0</a></code>\n- <b><a href=\"https://github.com/divelab/DIG\">DIG</a></b> (🥉20 ·  ⭐ 2K · 💀) - A library for graph deep learning research. <code><a href=\"http://bit.ly/2M0xdwT\">❗️GPL-3.0</a></code>\n- <b><a href=\"https://github.com/snap-stanford/deepsnap\">deepsnap</a></b> (🥉20 ·  ⭐ 560 · 💀) - Python library assists deep learning on graphs. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/predict-idlab/pyRDF2Vec\">pyRDF2Vec</a></b> (🥉20 ·  ⭐ 260 · 💀) - Python Implementation and Extension of RDF2Vec. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/snap-stanford/GraphGym\">GraphGym</a></b> (🥉17 ·  ⭐ 1.8K · 💀) - Platform for designing and evaluating Graph Neural Networks (GNN). <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/gsi-upm/sematch\">Sematch</a></b> (🥉17 ·  ⭐ 440 · 💀) - semantic similarity framework for knowledge graph. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/deepgraph/deepgraph\">DeepGraph</a></b> (🥉17 ·  ⭐ 320) - Analyze Data with Pandas-based Networks. Documentation:. <code>❗Unlicensed</code> <code><img src=\"https://git.io/JLy1S\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/THUMNLab/AutoGL\">AutoGL</a></b> (🥉16 ·  ⭐ 1.1K · 💀) - An autoML framework & toolkit for machine learning on graphs. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/typedb/typedb-ml\">kglib</a></b> (🥉16 ·  ⭐ 550 · 💀) - TypeDB-ML is the Machine Learning integrations library for TypeDB. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/microsoft/ptgnn\">ptgnn</a></b> (🥉16 ·  ⭐ 380 · 💀) - A PyTorch Graph Neural Network Library. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/alibaba/euler\">Euler</a></b> (🥉15 ·  ⭐ 2.9K · 💀) - A distributed graph deep learning framework. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/shenweichen/GraphEmbedding\">GraphEmbedding</a></b> (🥉14 ·  ⭐ 3.8K · 💀) - Implementation and experiments of graph embedding.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/williamleif/GraphSAGE\">GraphSAGE</a></b> (🥉14 ·  ⭐ 3.6K · 💀) - Representation learning on large graphs using stochastic.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/thunlp/OpenNE\">OpenNE</a></b> (🥉14 ·  ⭐ 1.7K · 💀) - An Open-Source Package for Network Embedding (NE). <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/DeepGraphLearning/graphvite\">GraphVite</a></b> (🥉14 ·  ⭐ 1.3K · 💀) - GraphVite: A General and High-performance Graph Embedding.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/thunlp/OpenKE\">OpenKE</a></b> (🥉13 ·  ⭐ 4K · 💀) - An Open-Source Package for Knowledge Embedding (KE). <code>❗Unlicensed</code>\n</details>\n<br>\n\n## Audio Data\n\n<a href=\"#contents\"><img align=\"right\" width=\"15\" height=\"15\" src=\"https://git.io/JtehR\" alt=\"Back to top\"></a>\n\n_Libraries for audio analysis, manipulation, transformation, and extraction, as well as speech recognition and music generation tasks._\n\n<details><summary><b><a href=\"https://github.com/speechbrain/speechbrain\">speechbrain</a></b> (🥇38 ·  ⭐ 11K) - A PyTorch-based Speech Toolkit. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/speechbrain/speechbrain) (👨‍💻 260 · 🔀 1.5K · 📦 3.9K · 📋 1.2K - 12% open · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https://github.com/speechbrain/speechbrain\n\t```\n- [PyPi](https://pypi.org/project/speechbrain) (📥 1.1M / month · 📦 79 · ⏱️ 07.04.2025):\n\t```\n\tpip install speechbrain\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/espnet/espnet\">espnet</a></b> (🥇38 ·  ⭐ 9.5K) - End-to-End Speech Processing Toolkit. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/espnet/espnet) (👨‍💻 520 · 🔀 2.3K · 📥 84 · 📦 480 · 📋 2.5K - 3% open · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https://github.com/espnet/espnet\n\t```\n- [PyPi](https://pypi.org/project/espnet) (📥 24K / month · 📦 19 · ⏱️ 13.09.2025):\n\t```\n\tpip install espnet\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/pytorch/audio\">torchaudio</a></b> (🥇37 ·  ⭐ 2.8K) - Data manipulation and transformation for audio signal.. <code><a href=\"http://bit.ly/3rqEWVr\">BSD-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/pytorch/audio) (👨‍💻 240 · 🔀 730 · 📋 1.1K - 31% open · ⏱️ 29.10.2025):\n\n\t```\n\tgit clone https://github.com/pytorch/audio\n\t```\n- [PyPi](https://pypi.org/project/torchaudio) (📥 15M / month · 📦 2.4K · ⏱️ 15.10.2025):\n\t```\n\tpip install torchaudio\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/Uberi/speech_recognition\">SpeechRecognition</a></b> (🥈34 ·  ⭐ 8.9K) - Speech recognition module for Python, supporting several.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code></summary>\n\n- [GitHub](https://github.com/Uberi/speech_recognition) (👨‍💻 56 · 🔀 2.4K · 📦 21 · 📋 670 - 48% open · ⏱️ 28.10.2025):\n\n\t```\n\tgit clone https://github.com/Uberi/speech_recognition\n\t```\n- [PyPi](https://pypi.org/project/SpeechRecognition) (📥 2.2M / month · 📦 730 · ⏱️ 12.05.2025):\n\t```\n\tpip install SpeechRecognition\n\t```\n- [Conda](https://anaconda.org/conda-forge/speechrecognition) (📥 360K · ⏱️ 12.05.2025):\n\t```\n\tconda install -c conda-forge speechrecognition\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/librosa/librosa\">librosa</a></b> (🥈34 ·  ⭐ 8K) - Python library for audio and music analysis. <code><a href=\"http://bit.ly/3hkKRql\">ISC</a></code></summary>\n\n- [GitHub](https://github.com/librosa/librosa) (👨‍💻 130 · 🔀 1K · 📋 1.3K - 5% open · ⏱️ 19.05.2025):\n\n\t```\n\tgit clone https://github.com/librosa/librosa\n\t```\n- [PyPi](https://pypi.org/project/librosa) (📥 5.6M / month · 📦 1.6K · ⏱️ 11.03.2025):\n\t```\n\tpip install librosa\n\t```\n- [Conda](https://anaconda.org/conda-forge/librosa) (📥 1.1M · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge librosa\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/mozilla/DeepSpeech\">DeepSpeech</a></b> (🥈33 ·  ⭐ 27K · 📈) - DeepSpeech is an open source embedded (offline, on-.. <code><a href=\"http://bit.ly/3postzC\">MPL-2.0</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/mozilla/DeepSpeech) (👨‍💻 160 · 🔀 4.1K · 📥 660K · 📦 540 · 📋 2.1K - 7% open · ⏱️ 19.06.2025):\n\n\t```\n\tgit clone https://github.com/mozilla/DeepSpeech\n\t```\n- [PyPi](https://pypi.org/project/deepspeech) (📥 5.5K / month · 📦 24 · ⏱️ 19.12.2020):\n\t```\n\tpip install deepspeech\n\t```\n- [Conda](https://anaconda.org/conda-forge/deepspeech) (📥 4.2K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge deepspeech\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/beetbox/audioread\">audioread</a></b> (🥈33 ·  ⭐ 520 · 📈) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/beetbox/audioread) (👨‍💻 27 · 🔀 110 · 📦 35K · 📋 98 - 40% open · ⏱️ 26.10.2025):\n\n\t```\n\tgit clone https://github.com/beetbox/audioread\n\t```\n- [PyPi](https://pypi.org/project/audioread) (📥 4.8M / month · 📦 180 · ⏱️ 26.10.2025):\n\t```\n\tpip install audioread\n\t```\n- [Conda](https://anaconda.org/conda-forge/audioread) (📥 1.2M · ⏱️ 02.10.2025):\n\t```\n\tconda install -c conda-forge audioread\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/deezer/spleeter\">spleeter</a></b> (🥈32 ·  ⭐ 27K) - Deezer source separation library including pretrained models. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/deezer/spleeter) (👨‍💻 22 · 🔀 3K · 📥 4.4M · 📦 1.1K · 📋 830 - 32% open · ⏱️ 02.04.2025):\n\n\t```\n\tgit clone https://github.com/deezer/spleeter\n\t```\n- [PyPi](https://pypi.org/project/spleeter) (📥 26K / month · 📦 18 · ⏱️ 03.04.2025):\n\t```\n\tpip install spleeter\n\t```\n- [Conda](https://anaconda.org/conda-forge/spleeter) (📥 120K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge spleeter\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/iver56/audiomentations\">audiomentations</a></b> (🥈32 ·  ⭐ 2.2K) - A Python library for audio data augmentation. Useful for.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/iver56/audiomentations) (👨‍💻 34 · 🔀 200 · 📦 840 · 📋 210 - 26% open · ⏱️ 26.09.2025):\n\n\t```\n\tgit clone https://github.com/iver56/audiomentations\n\t```\n- [PyPi](https://pypi.org/project/audiomentations) (📥 110K / month · 📦 38 · ⏱️ 13.09.2025):\n\t```\n\tpip install audiomentations\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/idiap/coqui-ai-TTS\">Coqui TTS</a></b> (🥈32 ·  ⭐ 1.9K) - - a deep learning toolkit for Text-to-Speech, battle-.. <code><a href=\"http://bit.ly/3postzC\">MPL-2.0</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/idiap/coqui-ai-TTS) (👨‍💻 200 · 🔀 240 · 📥 3.8K · 📦 760 · 📋 160 - 14% open · ⏱️ 16.10.2025):\n\n\t```\n\tgit clone https://github.com/idiap/coqui-ai-TTS\n\t```\n- [PyPi](https://pypi.org/project/coqui-tts) (📥 94K / month · 📦 34 · ⏱️ 25.09.2025):\n\t```\n\tpip install coqui-tts\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/magenta/magenta\">Magenta</a></b> (🥈31 ·  ⭐ 20K) - Magenta: Music and Art Generation with Machine Intelligence. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/magenta/magenta) (👨‍💻 160 · 🔀 3.7K · 📦 600 · 📋 1K - 41% open · ⏱️ 08.07.2025):\n\n\t```\n\tgit clone https://github.com/magenta/magenta\n\t```\n- [PyPi](https://pypi.org/project/magenta) (📥 4.8K / month · 📦 5 · ⏱️ 01.08.2022):\n\t```\n\tpip install magenta\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/Picovoice/porcupine\">Porcupine</a></b> (🥉29 ·  ⭐ 4.5K) - On-device wake word detection powered by deep learning. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/Picovoice/porcupine) (👨‍💻 43 · 🔀 550 · 📦 51 · 📋 600 - 0% open · ⏱️ 17.10.2025):\n\n\t```\n\tgit clone https://github.com/Picovoice/Porcupine\n\t```\n- [PyPi](https://pypi.org/project/pvporcupine) (📥 25K / month · 📦 38 · ⏱️ 05.02.2025):\n\t```\n\tpip install pvporcupine\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/tyiannak/pyAudioAnalysis\">pyAudioAnalysis</a></b> (🥉28 ·  ⭐ 6.2K) - Python Audio Analysis Library: Feature Extraction,.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/tyiannak/pyAudioAnalysis) (👨‍💻 28 · 🔀 1.2K · 📦 670 · 📋 330 - 62% open · ⏱️ 04.08.2025):\n\n\t```\n\tgit clone https://github.com/tyiannak/pyAudioAnalysis\n\t```\n- [PyPi](https://pypi.org/project/pyAudioAnalysis) (📥 24K / month · 📦 12 · ⏱️ 07.02.2022):\n\t```\n\tpip install pyAudioAnalysis\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/bastibe/python-soundfile\">python-soundfile</a></b> (🥉27 ·  ⭐ 800) - SoundFile is an audio library based on libsndfile, CFFI, and.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code></summary>\n\n- [GitHub](https://github.com/bastibe/python-soundfile) (👨‍💻 38 · 🔀 120 · 📥 21K · 📋 260 - 46% open · ⏱️ 28.04.2025):\n\n\t```\n\tgit clone https://github.com/bastibe/python-soundfile\n\t```\n- [PyPi](https://pypi.org/project/soundfile) (📥 9.5M / month · 📦 1.1K · ⏱️ 25.01.2025):\n\t```\n\tpip install soundfile\n\t```\n- [Conda](https://anaconda.org/anaconda/pysoundfile):\n\t```\n\tconda install -c anaconda pysoundfile\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/tinytag/tinytag\">tinytag</a></b> (🥉27 ·  ⭐ 780) - Python library for reading audio file metadata. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/tinytag/tinytag) (👨‍💻 27 · 🔀 100 · 📦 1.3K · 📋 120 - 4% open · ⏱️ 13.08.2025):\n\n\t```\n\tgit clone https://github.com/devsnd/tinytag\n\t```\n- [PyPi](https://pypi.org/project/tinytag) (📥 120K / month · 📦 130 · ⏱️ 13.08.2025):\n\t```\n\tpip install tinytag\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/keunwoochoi/kapre\">kapre</a></b> (🥉25 ·  ⭐ 930 · 📈) - kapre: Keras Audio Preprocessors. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/keunwoochoi/kapre) (👨‍💻 13 · 🔀 150 · 📥 33 · 📦 2.5K · 📋 99 - 17% open · ⏱️ 26.10.2025):\n\n\t```\n\tgit clone https://github.com/keunwoochoi/kapre\n\t```\n- [PyPi](https://pypi.org/project/kapre) (📥 3.2K / month · 📦 11 · ⏱️ 26.10.2025):\n\t```\n\tpip install kapre\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/KinWaiCheuk/nnAudio\">nnAudio</a></b> (🥉22 ·  ⭐ 1.1K) - Audio processing by using pytorch 1D convolution network. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/KinWaiCheuk/nnAudio) (👨‍💻 16 · 🔀 96 · 📦 410 · 📋 65 - 30% open · ⏱️ 16.05.2025):\n\n\t```\n\tgit clone https://github.com/KinWaiCheuk/nnAudio\n\t```\n- [PyPi](https://pypi.org/project/nnAudio) (📥 59K / month · 📦 4 · ⏱️ 13.02.2024):\n\t```\n\tpip install nnAudio\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/adefossez/julius\">Julius</a></b> (🥉21 ·  ⭐ 450 · 💤) - Fast PyTorch based DSP for audio and 1D signals. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/adefossez/julius) (👨‍💻 3 · 🔀 26 · 📋 12 - 16% open · ⏱️ 17.02.2025):\n\n\t```\n\tgit clone https://github.com/adefossez/julius\n\t```\n- [PyPi](https://pypi.org/project/julius) (📥 840K / month · 📦 44 · ⏱️ 20.09.2022):\n\t```\n\tpip install julius\n\t```\n</details>\n<details><summary>Show 11 hidden projects...</summary>\n\n- <b><a href=\"https://github.com/jiaaro/pydub\">Pydub</a></b> (🥈36 ·  ⭐ 9.6K · 💀) - Manipulate audio with a simple and easy high level interface. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/aubio/aubio\">aubio</a></b> (🥉27 ·  ⭐ 3.5K) - a library for audio and music analysis. <code><a href=\"http://bit.ly/2M0xdwT\">❗️GPL-3.0</a></code>\n- <b><a href=\"https://github.com/MTG/essentia\">Essentia</a></b> (🥉27 ·  ⭐ 3.3K) - C++ library for audio and music analysis, description and.. <code><a href=\"http://bit.ly/3pwmjO5\">❗️AGPL-3.0</a></code>\n- <b><a href=\"https://github.com/CPJKU/madmom\">Madmom</a></b> (🥉27 ·  ⭐ 1.5K · 💀) - Python audio and music signal processing library. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/mozilla/TTS\">TTS</a></b> (🥉26 ·  ⭐ 10K · 💀) - Deep learning for Text to Speech (Discussion forum:.. <code><a href=\"http://bit.ly/3postzC\">MPL-2.0</a></code>\n- <b><a href=\"https://github.com/jameslyons/python_speech_features\">python_speech_features</a></b> (🥉26 ·  ⭐ 2.4K · 💀) - This library provides common speech features for ASR.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/magenta/ddsp\">DDSP</a></b> (🥉25 ·  ⭐ 3.1K · 💀) - DDSP: Differentiable Digital Signal Processing. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/worldveil/dejavu\">Dejavu</a></b> (🥉23 ·  ⭐ 6.7K · 💀) - Audio fingerprinting and recognition in Python. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/Parisson/TimeSide\">TimeSide</a></b> (🥉21 ·  ⭐ 390 · 💤) - scalable audio processing framework and server written in.. <code><a href=\"http://bit.ly/3pwmjO5\">❗️AGPL-3.0</a></code>\n- <b><a href=\"https://github.com/bmcfee/muda\">Muda</a></b> (🥉18 ·  ⭐ 240 · 💀) - A library for augmenting annotated audio data. <code><a href=\"http://bit.ly/3hkKRql\">ISC</a></code>\n- <b><a href=\"https://github.com/facebookresearch/textlesslib\">textlesslib</a></b> (🥉10 ·  ⭐ 550 · 💀) - Library for Textless Spoken Language Processing. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n</details>\n<br>\n\n## Geospatial Data\n\n<a href=\"#contents\"><img align=\"right\" width=\"15\" height=\"15\" src=\"https://git.io/JtehR\" alt=\"Back to top\"></a>\n\n_Libraries to load, process, analyze, and write geographic data as well as libraries for spatial analysis, map visualization, and geocoding._\n\n<details><summary><b><a href=\"https://github.com/visgl/deck.gl\">pydeck</a></b> (🥇43 ·  ⭐ 14K) - WebGL2 powered visualization framework. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/visgl/deck.gl) (👨‍💻 310 · 🔀 2.2K · 📦 9.2K · 📋 3.3K - 13% open · ⏱️ 29.10.2025):\n\n\t```\n\tgit clone https://github.com/visgl/deck.gl\n\t```\n- [PyPi](https://pypi.org/project/pydeck) (📥 16M / month · 📦 160 · ⏱️ 21.03.2025):\n\t```\n\tpip install pydeck\n\t```\n- [Conda](https://anaconda.org/conda-forge/pydeck) (📥 850K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge pydeck\n\t```\n- [npm](https://www.npmjs.com/package/deck.gl) (📥 750K / month · 📦 360 · ⏱️ 16.10.2025):\n\t```\n\tnpm install deck.gl\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/python-visualization/folium\">folium</a></b> (🥇40 ·  ⭐ 7.3K) - Python Data. Leaflet.js Maps. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/python-visualization/folium) (👨‍💻 180 · 🔀 2.2K · 📦 65K · 📋 1.2K - 6% open · ⏱️ 06.10.2025):\n\n\t```\n\tgit clone https://github.com/python-visualization/folium\n\t```\n- [PyPi](https://pypi.org/project/folium) (📥 2.8M / month · 📦 1K · ⏱️ 16.06.2025):\n\t```\n\tpip install folium\n\t```\n- [Conda](https://anaconda.org/conda-forge/folium) (📥 4.4M · ⏱️ 16.06.2025):\n\t```\n\tconda install -c conda-forge folium\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/shapely/shapely\">Shapely</a></b> (🥇40 ·  ⭐ 4.3K) - Manipulation and analysis of geometric objects. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code></summary>\n\n- [GitHub](https://github.com/shapely/shapely) (👨‍💻 170 · 🔀 600 · 📥 4K · 📦 110K · 📋 1.3K - 18% open · ⏱️ 28.10.2025):\n\n\t```\n\tgit clone https://github.com/shapely/shapely\n\t```\n- [PyPi](https://pypi.org/project/shapely) (📥 62M / month · 📦 4.7K · ⏱️ 24.09.2025):\n\t```\n\tpip install shapely\n\t```\n- [Conda](https://anaconda.org/conda-forge/shapely) (📥 14M · ⏱️ 28.10.2025):\n\t```\n\tconda install -c conda-forge shapely\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/geopandas/geopandas\">GeoPandas</a></b> (🥈39 ·  ⭐ 4.9K) - Python tools for geographic data. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1S\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/geopandas/geopandas) (👨‍💻 250 · 🔀 980 · 📥 3.1K · 📦 60K · 📋 1.8K - 24% open · ⏱️ 25.10.2025):\n\n\t```\n\tgit clone https://github.com/geopandas/geopandas\n\t```\n- [PyPi](https://pypi.org/project/geopandas) (📥 11M / month · 📦 3.8K · ⏱️ 26.06.2025):\n\t```\n\tpip install geopandas\n\t```\n- [Conda](https://anaconda.org/conda-forge/geopandas) (📥 5.4M · ⏱️ 06.10.2025):\n\t```\n\tconda install -c conda-forge geopandas\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/rasterio/rasterio\">Rasterio</a></b> (🥈37 ·  ⭐ 2.4K) - Rasterio reads and writes geospatial raster datasets. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code></summary>\n\n- [GitHub](https://github.com/rasterio/rasterio) (👨‍💻 170 · 🔀 540 · 📥 1K · 📦 19K · 📋 1.9K - 8% open · ⏱️ 26.09.2025):\n\n\t```\n\tgit clone https://github.com/rasterio/rasterio\n\t```\n- [PyPi](https://pypi.org/project/rasterio) (📥 2.8M / month · 📦 1.5K · ⏱️ 02.12.2024):\n\t```\n\tpip install rasterio\n\t```\n- [Conda](https://anaconda.org/conda-forge/rasterio) (📥 5.3M · ⏱️ 17.09.2025):\n\t```\n\tconda install -c conda-forge rasterio\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/pyproj4/pyproj\">pyproj</a></b> (🥈37 ·  ⭐ 1.2K) - Python interface to PROJ (cartographic projections and coordinate.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/pyproj4/pyproj) (👨‍💻 74 · 🔀 230 · 📦 47K · 📋 660 - 6% open · ⏱️ 29.10.2025):\n\n\t```\n\tgit clone https://github.com/pyproj4/pyproj\n\t```\n- [PyPi](https://pypi.org/project/pyproj) (📥 14M / month · 📦 2.3K · ⏱️ 14.08.2025):\n\t```\n\tpip install pyproj\n\t```\n- [Conda](https://anaconda.org/conda-forge/pyproj) (📥 12M · ⏱️ 15.09.2025):\n\t```\n\tconda install -c conda-forge pyproj\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/Esri/arcgis-python-api\">ArcGIS API</a></b> (🥈36 ·  ⭐ 2.1K) - Documentation and samples for ArcGIS API for Python. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/Esri/arcgis-python-api) (👨‍💻 99 · 🔀 1.1K · 📥 16K · 📦 1K · 📋 920 - 8% open · ⏱️ 28.10.2025):\n\n\t```\n\tgit clone https://github.com/Esri/arcgis-python-api\n\t```\n- [PyPi](https://pypi.org/project/arcgis) (📥 150K / month · 📦 44 · ⏱️ 27.10.2025):\n\t```\n\tpip install arcgis\n\t```\n- [Docker Hub](https://hub.docker.com/r/esridocker/arcgis-api-python-notebook):\n\t```\n\tdocker pull esridocker/arcgis-api-python-notebook\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/Toblerity/Fiona\">Fiona</a></b> (🥈34 ·  ⭐ 1.2K · 💤) - Fiona reads and writes geographic data files. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code></summary>\n\n- [GitHub](https://github.com/Toblerity/Fiona) (👨‍💻 78 · 🔀 210 · 📦 27K · 📋 820 - 5% open · ⏱️ 20.02.2025):\n\n\t```\n\tgit clone https://github.com/Toblerity/Fiona\n\t```\n- [PyPi](https://pypi.org/project/fiona) (📥 5.6M / month · 📦 380 · ⏱️ 16.09.2024):\n\t```\n\tpip install fiona\n\t```\n- [Conda](https://anaconda.org/conda-forge/fiona) (📥 7.9M · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge fiona\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/jupyter-widgets/ipyleaflet\">ipyleaflet</a></b> (🥉33 ·  ⭐ 1.5K) - A Jupyter - Leaflet.js bridge. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (👨‍💻 94 · 🔀 360 · 📦 18K · 📋 660 - 44% open · ⏱️ 19.06.2025):\n\n\t```\n\tgit clone https://github.com/jupyter-widgets/ipyleaflet\n\t```\n- [PyPi](https://pypi.org/project/ipyleaflet) (📥 230K / month · 📦 340 · ⏱️ 13.06.2025):\n\t```\n\tpip install ipyleaflet\n\t```\n- [Conda](https://anaconda.org/conda-forge/ipyleaflet) (📥 1.8M · ⏱️ 13.06.2025):\n\t```\n\tconda install -c conda-forge ipyleaflet\n\t```\n- [npm](https://www.npmjs.com/package/jupyter-leaflet) (📥 2.7K / month · 📦 9 · ⏱️ 13.06.2025):\n\t```\n\tnpm install jupyter-leaflet\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/jazzband/geojson\">geojson</a></b> (🥉31 ·  ⭐ 970 · 💤) - Python bindings and utilities for GeoJSON. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code></summary>\n\n- [GitHub](https://github.com/jazzband/geojson) (👨‍💻 58 · 🔀 120 · 📦 21K · 📋 100 - 26% open · ⏱️ 21.12.2024):\n\n\t```\n\tgit clone https://github.com/jazzband/geojson\n\t```\n- [PyPi](https://pypi.org/project/geojson) (📥 3.6M / month · 📦 720 · ⏱️ 21.12.2024):\n\t```\n\tpip install geojson\n\t```\n- [Conda](https://anaconda.org/conda-forge/geojson) (📥 1.1M · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge geojson\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/pysal/pysal\">PySAL</a></b> (🥉30 ·  ⭐ 1.4K) - PySAL: Python Spatial Analysis Library Meta-Package. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code></summary>\n\n- [GitHub](https://github.com/pysal/pysal) (👨‍💻 79 · 🔀 310 · 📦 1.8K · 📋 660 - 3% open · ⏱️ 08.09.2025):\n\n\t```\n\tgit clone https://github.com/pysal/pysal\n\t```\n- [PyPi](https://pypi.org/project/pysal) (📥 42K / month · 📦 65 · ⏱️ 31.07.2025):\n\t```\n\tpip install pysal\n\t```\n- [Conda](https://anaconda.org/conda-forge/pysal) (📥 730K · ⏱️ 01.08.2025):\n\t```\n\tconda install -c conda-forge pysal\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/holoviz/geoviews\">GeoViews</a></b> (🥉28 ·  ⭐ 620) - Simple, concise geographical visualization in Python. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code></summary>\n\n- [GitHub](https://github.com/holoviz/geoviews) (👨‍💻 34 · 🔀 79 · 📦 5 · 📋 360 - 31% open · ⏱️ 29.10.2025):\n\n\t```\n\tgit clone https://github.com/holoviz/geoviews\n\t```\n- [PyPi](https://pypi.org/project/geoviews) (📥 69K / month · 📦 76 · ⏱️ 14.08.2025):\n\t```\n\tpip install geoviews\n\t```\n- [Conda](https://anaconda.org/conda-forge/geoviews) (📥 340K · ⏱️ 14.08.2025):\n\t```\n\tconda install -c conda-forge geoviews\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/earthlab/earthpy\">EarthPy</a></b> (🥉28 ·  ⭐ 530) - A package built to support working with spatial data using open source.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code></summary>\n\n- [GitHub](https://github.com/earthlab/earthpy) (👨‍💻 44 · 🔀 160 · 📥 75 · 📦 440 · 📋 250 - 16% open · ⏱️ 31.07.2025):\n\n\t```\n\tgit clone https://github.com/earthlab/earthpy\n\t```\n- [PyPi](https://pypi.org/project/earthpy) (📥 14K / month · 📦 17 · ⏱️ 01.10.2021):\n\t```\n\tpip install earthpy\n\t```\n- [Conda](https://anaconda.org/conda-forge/earthpy) (📥 98K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge earthpy\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/geospace-code/pymap3d\">pymap3d</a></b> (🥉25 ·  ⭐ 430) - pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef.. <code><a href=\"http://bit.ly/3rqEWVr\">BSD-2</a></code></summary>\n\n- [GitHub](https://github.com/geospace-code/pymap3d) (👨‍💻 19 · 🔀 87 · 📦 540 · 📋 59 - 8% open · ⏱️ 08.07.2025):\n\n\t```\n\tgit clone https://github.com/geospace-code/pymap3d\n\t```\n- [PyPi](https://pypi.org/project/pymap3d) (📥 490K / month · 📦 50 · ⏱️ 08.07.2025):\n\t```\n\tpip install pymap3d\n\t```\n- [Conda](https://anaconda.org/conda-forge/pymap3d) (📥 120K · ⏱️ 08.07.2025):\n\t```\n\tconda install -c conda-forge pymap3d\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/mapbox/mapboxgl-jupyter\">Mapbox GL</a></b> (🥉22 ·  ⭐ 680 · 💤) - Use Mapbox GL JS to visualize data in a Python Jupyter notebook. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/mapbox/mapboxgl-jupyter) (👨‍💻 23 · 🔀 140 · 📋 110 - 38% open · ⏱️ 06.02.2025):\n\n\t```\n\tgit clone https://github.com/mapbox/mapboxgl-jupyter\n\t```\n- [PyPi](https://pypi.org/project/mapboxgl) (📥 10K / month · 📦 12 · ⏱️ 02.06.2019):\n\t```\n\tpip install mapboxgl\n\t```\n</details>\n<details><summary>Show 7 hidden projects...</summary>\n\n- <b><a href=\"https://github.com/pytroll/satpy\">Satpy</a></b> (🥈34 ·  ⭐ 1.1K) - Python package for earth-observing satellite data processing. <code><a href=\"http://bit.ly/2M0xdwT\">❗️GPL-3.0</a></code>\n- <b><a href=\"https://github.com/geopy/geopy\">geopy</a></b> (🥉32 ·  ⭐ 4.7K · 💀) - Geocoding library for Python. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/DenisCarriere/geocoder\">Geocoder</a></b> (🥉32 ·  ⭐ 1.6K · 💀) - Python Geocoder. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/marceloprates/prettymaps\">prettymaps</a></b> (🥉24 ·  ⭐ 12K) - Draw pretty maps from OpenStreetMap data! Built with osmnx.. <code><a href=\"http://bit.ly/3pwmjO5\">❗️AGPL-3.0</a></code>\n- <b><a href=\"https://github.com/sentinelsat/sentinelsat\">Sentinelsat</a></b> (🥉24 ·  ⭐ 1K · 💀) - Search and download Copernicus Sentinel satellite images. <code><a href=\"http://bit.ly/2M0xdwT\">❗️GPL-3.0</a></code>\n- <b><a href=\"https://github.com/pbugnion/gmaps\">gmaps</a></b> (🥉22 ·  ⭐ 760 · 💀) - Google maps for Jupyter notebooks. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/andrea-cuttone/geoplotlib\">geoplotlib</a></b> (🥉21 ·  ⭐ 1K · 💀) - python toolbox for visualizing geographical data and making maps. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n</details>\n<br>\n\n## Financial Data\n\n<a href=\"#contents\"><img align=\"right\" width=\"15\" height=\"15\" src=\"https://git.io/JtehR\" alt=\"Back to top\"></a>\n\n_Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, technical analysis, and other tasks on financial data._\n\n<details><summary><b><a href=\"https://github.com/ranaroussi/yfinance\">yfinance</a></b> (🥇42 ·  ⭐ 20K) - Download market data from Yahoo! Finances API. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/ranaroussi/yfinance) (👨‍💻 140 · 🔀 2.8K · 📦 86K · 📋 1.7K - 9% open · ⏱️ 18.09.2025):\n\n\t```\n\tgit clone https://github.com/ranaroussi/yfinance\n\t```\n- [PyPi](https://pypi.org/project/yfinance) (📥 5.9M / month · 📦 1.2K · ⏱️ 17.09.2025):\n\t```\n\tpip install yfinance\n\t```\n- [Conda](https://anaconda.org/ranaroussi/yfinance) (📥 99K · ⏱️ 25.03.2025):\n\t```\n\tconda install -c ranaroussi yfinance\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/microsoft/qlib\">Qlib</a></b> (🥇32 ·  ⭐ 33K) - Qlib is an AI-oriented Quant investment platform that aims to use AI tech.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/microsoft/qlib) (👨‍💻 140 · 🔀 5K · 📥 910 · 📦 21 · 📋 1K - 28% open · ⏱️ 17.10.2025):\n\n\t```\n\tgit clone https://github.com/microsoft/qlib\n\t```\n- [PyPi](https://pypi.org/project/pyqlib) (📥 16K / month · 📦 3 · ⏱️ 15.08.2025):\n\t```\n\tpip install pyqlib\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/pmorissette/bt\">bt</a></b> (🥈30 ·  ⭐ 2.7K) - bt - flexible backtesting for Python. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/pmorissette/bt) (👨‍💻 35 · 🔀 450 · 📦 1.7K · 📋 350 - 23% open · ⏱️ 27.10.2025):\n\n\t```\n\tgit clone https://github.com/pmorissette/bt\n\t```\n- [PyPi](https://pypi.org/project/bt) (📥 11K / month · 📦 15 · ⏱️ 12.04.2025):\n\t```\n\tpip install bt\n\t```\n- [Conda](https://anaconda.org/conda-forge/bt) (📥 110K · ⏱️ 02.10.2025):\n\t```\n\tconda install -c conda-forge bt\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/RomelTorres/alpha_vantage\">Alpha Vantage</a></b> (🥈27 ·  ⭐ 4.6K) - A python wrapper for Alpha Vantage API for financial data. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/RomelTorres/alpha_vantage) (👨‍💻 44 · 🔀 760 · 📋 290 - 0% open · ⏱️ 27.07.2025):\n\n\t```\n\tgit clone https://github.com/RomelTorres/alpha_vantage\n\t```\n- [PyPi](https://pypi.org/project/alpha_vantage) (📥 140K / month · 📦 35 · ⏱️ 18.07.2024):\n\t```\n\tpip install alpha_vantage\n\t```\n- [Conda](https://anaconda.org/conda-forge/alpha_vantage) (📥 10K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge alpha_vantage\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/pmorissette/ffn\">ffn</a></b> (🥈27 ·  ⭐ 2.4K) - ffn - a financial function library for Python. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/pmorissette/ffn) (👨‍💻 36 · 🔀 330 · 📦 580 · 📋 140 - 17% open · ⏱️ 27.10.2025):\n\n\t```\n\tgit clone https://github.com/pmorissette/ffn\n\t```\n- [PyPi](https://pypi.org/project/ffn) (📥 25K / month · 📦 22 · ⏱️ 11.02.2025):\n\t```\n\tpip install ffn\n\t```\n- [Conda](https://anaconda.org/conda-forge/ffn) (📥 26K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge ffn\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/jealous/stockstats\">stockstats</a></b> (🥉26 ·  ⭐ 1.4K) - Supply a wrapper ``StockDataFrame`` based on the.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code></summary>\n\n- [GitHub](https://github.com/jealous/stockstats) (👨‍💻 10 · 🔀 310 · 📦 1.3K · 📋 130 - 10% open · ⏱️ 18.05.2025):\n\n\t```\n\tgit clone https://github.com/jealous/stockstats\n\t```\n- [PyPi](https://pypi.org/project/stockstats) (📥 51K / month · 📦 14 · ⏱️ 18.05.2025):\n\t```\n\tpip install stockstats\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/google/tf-quant-finance\">tf-quant-finance</a></b> (🥉21 ·  ⭐ 5K · 💤) - High-performance TensorFlow library for quantitative.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/google/tf-quant-finance) (👨‍💻 48 · 🔀 630 · 📋 65 - 56% open · ⏱️ 21.03.2025):\n\n\t```\n\tgit clone https://github.com/google/tf-quant-finance\n\t```\n- [PyPi](https://pypi.org/project/tf-quant-finance) (📥 410 / month · 📦 3 · ⏱️ 19.08.2022):\n\t```\n\tpip install tf-quant-finance\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/cuemacro/finmarketpy\">finmarketpy</a></b> (🥉21 ·  ⭐ 3.7K · 💤) - Python library for backtesting trading strategies &.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/cuemacro/finmarketpy) (👨‍💻 19 · 🔀 510 · 📥 57 · 📦 16 · 📋 35 - 88% open · ⏱️ 10.03.2025):\n\n\t```\n\tgit clone https://github.com/cuemacro/finmarketpy\n\t```\n- [PyPi](https://pypi.org/project/finmarketpy) (📥 340 / month · ⏱️ 10.03.2025):\n\t```\n\tpip install finmarketpy\n\t```\n</details>\n<details><summary>Show 17 hidden projects...</summary>\n\n- <b><a href=\"https://github.com/bashtage/arch\">arch</a></b> (🥇33 ·  ⭐ 1.5K) - ARCH models in Python. <code>❗Unlicensed</code>\n- <b><a href=\"https://github.com/quantopian/zipline\">zipline</a></b> (🥇32 ·  ⭐ 19K · 💀) - Zipline, a Pythonic Algorithmic Trading Library. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/bukosabino/ta\">ta</a></b> (🥇32 ·  ⭐ 4.8K · 💀) - Technical Analysis Library using Pandas and Numpy. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/quantopian/pyfolio\">pyfolio</a></b> (🥈31 ·  ⭐ 6.1K · 💀) - Portfolio and risk analytics in Python. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/mementum/backtrader\">backtrader</a></b> (🥈29 ·  ⭐ 19K · 💀) - Python Backtesting library for trading strategies. <code><a href=\"http://bit.ly/2M0xdwT\">❗️GPL-3.0</a></code>\n- <b><a href=\"https://github.com/erdewit/ib_insync\">IB-insync</a></b> (🥈28 ·  ⭐ 3.1K · 💀) - Python sync/async framework for Interactive Brokers API. <code><a href=\"http://bit.ly/3rqEWVr\">BSD-2</a></code>\n- <b><a href=\"https://github.com/quantopian/alphalens\">Alphalens</a></b> (🥈27 ·  ⭐ 4K · 💀) - Performance analysis of predictive (alpha) stock factors. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/scrtlabs/catalyst\">Enigma Catalyst</a></b> (🥈27 ·  ⭐ 2.5K · 💀) - An Algorithmic Trading Library for Crypto-Assets in.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/quantopian/empyrical\">empyrical</a></b> (🥈27 ·  ⭐ 1.4K · 💀) - Common financial risk and performance metrics. Used by.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/kernc/backtesting.py\">Backtesting.py</a></b> (🥉26 ·  ⭐ 7.4K) - Backtest trading strategies in Python. <code><a href=\"http://bit.ly/3pwmjO5\">❗️AGPL-3.0</a></code>\n- <b><a href=\"https://github.com/tensortrade-org/tensortrade\">TensorTrade</a></b> (🥉26 ·  ⭐ 5.6K · 💀) - An open source reinforcement learning framework for.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/gbeced/pyalgotrade\">PyAlgoTrade</a></b> (🥉25 ·  ⭐ 4.6K · 💀) - Python Algorithmic Trading Library. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/peerchemist/finta\">FinTA</a></b> (🥉24 ·  ⭐ 2.2K · 💀) - Common financial technical indicators implemented in Pandas. <code><a href=\"http://bit.ly/37RvQcA\">❗️LGPL-3.0</a></code>\n- <b><a href=\"https://github.com/CryptoSignal/Crypto-Signal\">Crypto Signals</a></b> (🥉22 ·  ⭐ 5.4K · 💀) - Github.com/CryptoSignal - Trading & Technical Analysis Bot -.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/fmilthaler/FinQuant\">FinQuant</a></b> (🥉22 ·  ⭐ 1.6K · 💀) - A program for financial portfolio management, analysis and.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/tradytics/surpriver\">surpriver</a></b> (🥉12 ·  ⭐ 1.8K · 💀) - Find big moving stocks before they move using machine.. <code><a href=\"http://bit.ly/2M0xdwT\">❗️GPL-3.0</a></code>\n- <b><a href=\"https://github.com/alvarobartt/pyrtfolio\">pyrtfolio</a></b> (🥉9 ·  ⭐ 150 · 💀) - Python package to generate stock portfolios. <code><a href=\"http://bit.ly/2M0xdwT\">❗️GPL-3.0</a></code>\n</details>\n<br>\n\n## Time Series Data\n\n<a href=\"#contents\"><img align=\"right\" width=\"15\" height=\"15\" src=\"https://git.io/JtehR\" alt=\"Back to top\"></a>\n\n_Libraries for forecasting, anomaly detection, feature extraction, and machine learning on time-series and sequential data._\n\n<details><summary><b><a href=\"https://github.com/sktime/sktime\">sktime</a></b> (🥇41 ·  ⭐ 9.3K) - A unified framework for machine learning with time series. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/sktime/sktime) (👨‍💻 520 · 🔀 1.7K · 📥 110 · 📦 4.7K · 📋 3.1K - 39% open · ⏱️ 28.10.2025):\n\n\t```\n\tgit clone https://github.com/alan-turing-institute/sktime\n\t```\n- [PyPi](https://pypi.org/project/sktime) (📥 1M / month · 📦 160 · ⏱️ 25.09.2025):\n\t```\n\tpip install sktime\n\t```\n- [Conda](https://anaconda.org/conda-forge/sktime-all-extras) (📥 1.2M · ⏱️ 18.09.2025):\n\t```\n\tconda install -c conda-forge sktime-all-extras\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/facebook/prophet\">Prophet</a></b> (🥇34 ·  ⭐ 20K) - Tool for producing high quality forecasts for time series data that has.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/facebook/prophet) (👨‍💻 190 · 🔀 4.6K · 📥 3.2K · 📦 21 · 📋 2.2K - 20% open · ⏱️ 21.10.2025):\n\n\t```\n\tgit clone https://github.com/facebook/prophet\n\t```\n- [PyPi](https://pypi.org/project/fbprophet) (📥 84K / month · 📦 91 · ⏱️ 05.09.2020):\n\t```\n\tpip install fbprophet\n\t```\n- [Conda](https://anaconda.org/conda-forge/prophet) (📥 1.5M · ⏱️ 22.10.2025):\n\t```\n\tconda install -c conda-forge prophet\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/Nixtla/statsforecast\">StatsForecast</a></b> (🥇34 ·  ⭐ 4.6K) - Lightning fast forecasting with statistical and econometric.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/Nixtla/statsforecast) (👨‍💻 56 · 🔀 340 · 📦 2K · 📋 400 - 34% open · ⏱️ 29.10.2025):\n\n\t```\n\tgit clone https://github.com/Nixtla/statsforecast\n\t```\n- [PyPi](https://pypi.org/project/statsforecast) (📥 990K / month · 📦 91 · ⏱️ 29.10.2025):\n\t```\n\tpip install statsforecast\n\t```\n- [Conda](https://anaconda.org/conda-forge/statsforecast) (📥 220K · ⏱️ 30.10.2025):\n\t```\n\tconda install -c conda-forge statsforecast\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/tslearn-team/tslearn\">tslearn</a></b> (🥈33 ·  ⭐ 3.1K) - The machine learning toolkit for time series analysis in Python. <code><a href=\"http://bit.ly/3rqEWVr\">BSD-2</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/tslearn-team/tslearn) (👨‍💻 46 · 🔀 350 · 📦 1.9K · 📋 380 - 38% open · ⏱️ 27.10.2025):\n\n\t```\n\tgit clone https://github.com/tslearn-team/tslearn\n\t```\n- [PyPi](https://pypi.org/project/tslearn) (📥 400K / month · 📦 110 · ⏱️ 02.07.2025):\n\t```\n\tpip install tslearn\n\t```\n- [Conda](https://anaconda.org/conda-forge/tslearn) (📥 1.7M · ⏱️ 03.07.2025):\n\t```\n\tconda install -c conda-forge tslearn\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/skforecast/skforecast\">skforecast</a></b> (🥈33 ·  ⭐ 1.4K) - Time series forecasting with machine learning models. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/skforecast/skforecast) (👨‍💻 23 · 🔀 170 · 📦 490 · 📋 210 - 8% open · ⏱️ 22.09.2025):\n\n\t```\n\tgit clone https://github.com/JoaquinAmatRodrigo/skforecast\n\t```\n- [PyPi](https://pypi.org/project/skforecast) (📥 96K / month · 📦 18 · ⏱️ 22.09.2025):\n\t```\n\tpip install skforecast\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/unit8co/darts\">Darts</a></b> (🥈32 ·  ⭐ 9K) - A python library for user-friendly forecasting and anomaly detection on.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/unit8co/darts) (👨‍💻 140 · 🔀 970 · 📋 1.8K - 13% open · ⏱️ 26.10.2025):\n\n\t```\n\tgit clone https://github.com/unit8co/darts\n\t```\n- [PyPi](https://pypi.org/project/u8darts) (📥 86K / month · 📦 10 · ⏱️ 03.10.2025):\n\t```\n\tpip install u8darts\n\t```\n- [Conda](https://anaconda.org/conda-forge/u8darts-all) (📥 94K · ⏱️ 05.10.2025):\n\t```\n\tconda install -c conda-forge u8darts-all\n\t```\n- [Docker Hub](https://hub.docker.com/r/unit8/darts) (📥 2.1K · ⏱️ 03.10.2025):\n\t```\n\tdocker pull unit8/darts\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/sktime/pytorch-forecasting\">pytorch-forecasting</a></b> (🥈32 ·  ⭐ 4.6K) - Time series forecasting with PyTorch. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/sktime/pytorch-forecasting) (👨‍💻 79 · 🔀 710 · 📦 670 · 📋 920 - 59% open · ⏱️ 19.10.2025):\n\n\t```\n\tgit clone https://github.com/jdb78/pytorch-forecasting\n\t```\n- [PyPi](https://pypi.org/project/pytorch-forecasting) (📥 270K / month · 📦 27 · ⏱️ 10.10.2025):\n\t```\n\tpip install pytorch-forecasting\n\t```\n- [Conda](https://anaconda.org/conda-forge/pytorch-forecasting) (📥 87K · ⏱️ 05.07.2025):\n\t```\n\tconda install -c conda-forge pytorch-forecasting\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/alkaline-ml/pmdarima\">pmdarima</a></b> (🥈32 ·  ⭐ 1.7K · 💤) - A statistical library designed to fill the void in Pythons time.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/alkaline-ml/pmdarima) (👨‍💻 23 · 🔀 250 · 📦 13K · 📋 340 - 19% open · ⏱️ 07.11.2024):\n\n\t```\n\tgit clone https://github.com/alkaline-ml/pmdarima\n\t```\n- [PyPi](https://pypi.org/project/pmdarima) (📥 7.5M / month · 📦 150 · ⏱️ 23.10.2023):\n\t```\n\tpip install pmdarima\n\t```\n- [Conda](https://anaconda.org/conda-forge/pmdarima) (📥 1.4M · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge pmdarima\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/blue-yonder/tsfresh\">tsfresh</a></b> (🥈31 ·  ⭐ 9K) - Automatic extraction of relevant features from time series:. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/blue-yonder/tsfresh) (👨‍💻 100 · 🔀 1.3K · 📦 21 · 📋 550 - 12% open · ⏱️ 30.08.2025):\n\n\t```\n\tgit clone https://github.com/blue-yonder/tsfresh\n\t```\n- [PyPi](https://pypi.org/project/tsfresh) (📥 340K / month · 📦 120 · ⏱️ 30.08.2025):\n\t```\n\tpip install tsfresh\n\t```\n- [Conda](https://anaconda.org/conda-forge/tsfresh) (📥 1.5M · ⏱️ 31.08.2025):\n\t```\n\tconda install -c conda-forge tsfresh\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/stumpy-dev/stumpy\">STUMPY</a></b> (🥈30 ·  ⭐ 4K) - STUMPY is a powerful and scalable Python library for modern time series.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code></summary>\n\n- [GitHub](https://github.com/stumpy-dev/stumpy) (👨‍💻 41 · 🔀 340 · 📦 1.6K · 📋 540 - 13% open · ⏱️ 02.09.2025):\n\n\t```\n\tgit clone https://github.com/TDAmeritrade/stumpy\n\t```\n- [PyPi](https://pypi.org/project/stumpy) (📥 380K / month · 📦 30 · ⏱️ 09.07.2024):\n\t```\n\tpip install stumpy\n\t```\n- [Conda](https://anaconda.org/conda-forge/stumpy) (📥 1.1M · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge stumpy\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/Nixtla/neuralforecast\">NeuralForecast</a></b> (🥈30 ·  ⭐ 3.8K) - Scalable and user friendly neural forecasting algorithms. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/Nixtla/neuralforecast) (👨‍💻 55 · 🔀 450 · 📋 650 - 17% open · ⏱️ 01.10.2025):\n\n\t```\n\tgit clone https://github.com/Nixtla/neuralforecast\n\t```\n- [PyPi](https://pypi.org/project/neuralforecast) (📥 160K / month · 📦 30 · ⏱️ 01.10.2025):\n\t```\n\tpip install neuralforecast\n\t```\n- [Conda](https://anaconda.org/conda-forge/neuralforecast) (📥 47K · ⏱️ 06.10.2025):\n\t```\n\tconda install -c conda-forge neuralforecast\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/awslabs/gluonts\">GluonTS</a></b> (🥈29 ·  ⭐ 5K) - Probabilistic time series modeling in Python. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1X\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/awslabs/gluonts) (👨‍💻 120 · 🔀 790 · 📋 970 - 34% open · ⏱️ 14.08.2025):\n\n\t```\n\tgit clone https://github.com/awslabs/gluon-ts\n\t```\n- [PyPi](https://pypi.org/project/gluonts) (📥 1.9M / month · 📦 41 · ⏱️ 27.06.2025):\n\t```\n\tpip install gluonts\n\t```\n- [Conda](https://anaconda.org/anaconda/gluonts) (📥 3.2K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c anaconda gluonts\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/python-streamz/streamz\">Streamz</a></b> (🥉28 ·  ⭐ 1.3K · 💤) - Real-time stream processing for python. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code></summary>\n\n- [GitHub](https://github.com/python-streamz/streamz) (👨‍💻 49 · 🔀 150 · 📦 570 · 📋 270 - 44% open · ⏱️ 22.11.2024):\n\n\t```\n\tgit clone https://github.com/python-streamz/streamz\n\t```\n- [PyPi](https://pypi.org/project/streamz) (📥 26K / month · 📦 57 · ⏱️ 27.07.2022):\n\t```\n\tpip install streamz\n\t```\n- [Conda](https://anaconda.org/conda-forge/streamz) (📥 2.9M · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge streamz\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/johannfaouzi/pyts\">pyts</a></b> (🥉27 ·  ⭐ 1.9K) - A Python package for time series classification. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code></summary>\n\n- [GitHub](https://github.com/johannfaouzi/pyts) (👨‍💻 15 · 🔀 180 · 📦 900 · 📋 88 - 59% open · ⏱️ 18.06.2025):\n\n\t```\n\tgit clone https://github.com/johannfaouzi/pyts\n\t```\n- [PyPi](https://pypi.org/project/pyts) (📥 190K / month · 📦 45 · ⏱️ 18.06.2023):\n\t```\n\tpip install pyts\n\t```\n- [Conda](https://anaconda.org/conda-forge/pyts) (📥 35K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge pyts\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/fraunhoferportugal/tsfel\">TSFEL</a></b> (🥉26 ·  ⭐ 1.1K) - An intuitive library to extract features from time series. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code></summary>\n\n- [GitHub](https://github.com/fraunhoferportugal/tsfel) (👨‍💻 21 · 🔀 150 · 📦 220 · 📋 87 - 5% open · ⏱️ 20.08.2025):\n\n\t```\n\tgit clone https://github.com/fraunhoferportugal/tsfel\n\t```\n- [PyPi](https://pypi.org/project/tsfel) (📥 9.4K / month · 📦 14 · ⏱️ 20.08.2025):\n\t```\n\tpip install tsfel\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/linkedin/greykite\">greykite</a></b> (🥉22 ·  ⭐ 1.8K · 💤) - A flexible, intuitive and fast forecasting library. <code><a href=\"http://bit.ly/3rqEWVr\">BSD-2</a></code></summary>\n\n- [GitHub](https://github.com/linkedin/greykite) (👨‍💻 10 · 🔀 110 · 📥 39 · 📦 47 · 📋 110 - 11% open · ⏱️ 20.02.2025):\n\n\t```\n\tgit clone https://github.com/linkedin/greykite\n\t```\n- [PyPi](https://pypi.org/project/greykite) (📥 11K / month · ⏱️ 20.02.2025):\n\t```\n\tpip install greykite\n\t```\n</details>\n<details><summary>Show 13 hidden projects...</summary>\n\n- <b><a href=\"https://github.com/ourownstory/neural_prophet\">NeuralProphet</a></b> (🥉26 ·  ⭐ 4.2K · 💀) - NeuralProphet: A simple forecasting package. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/RJT1990/pyflux\">PyFlux</a></b> (🥉25 ·  ⭐ 2.1K · 💀) - Open source time series library for Python. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/linkedin/luminol\">luminol</a></b> (🥉22 ·  ⭐ 1.2K · 💀) - Anomaly Detection and Correlation library. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/arundo/adtk\">ADTK</a></b> (🥉22 ·  ⭐ 1.2K · 💀) - A Python toolkit for rule-based/unsupervised anomaly detection in.. <code><a href=\"http://bit.ly/3postzC\">MPL-2.0</a></code>\n- <b><a href=\"https://github.com/dmbee/seglearn\">seglearn</a></b> (🥉21 ·  ⭐ 580 · 💀) - Python module for machine learning time series:. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/wwrechard/pydlm\">pydlm</a></b> (🥉21 ·  ⭐ 480 · 💀) - A python library for Bayesian time series modeling. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/X-DataInitiative/tick\">tick</a></b> (🥉20 ·  ⭐ 520 · 💀) - Module for statistical learning, with a particular emphasis on time-.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/target/matrixprofile-ts\">matrixprofile-ts</a></b> (🥉19 ·  ⭐ 740 · 💀) - A Python library for detecting patterns and anomalies.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/predict-idlab/tsflex\">tsflex</a></b> (🥉19 ·  ⭐ 430 · 💀) - Flexible time series feature extraction & processing. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/AutoViML/Auto_TS\">Auto TS</a></b> (🥉17 ·  ⭐ 760 · 💀) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/arundo/tsaug\">tsaug</a></b> (🥉15 ·  ⭐ 360 · 💀) - A Python package for time series augmentation. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/firmai/atspy\">atspy</a></b> (🥉14 ·  ⭐ 520 · 💀) - AtsPy: Automated Time Series Models in Python (by @firmai). <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/hsbc/tslumen\">tslumen</a></b> (🥉8 ·  ⭐ 71 · 💀) - A library for Time Series EDA (exploratory data analysis). <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n</details>\n<br>\n\n## Medical Data\n\n<a href=\"#contents\"><img align=\"right\" width=\"15\" height=\"15\" src=\"https://git.io/JtehR\" alt=\"Back to top\"></a>\n\n_Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic data, and other medical imaging formats._\n\n<details><summary><b><a href=\"https://github.com/nilearn/nilearn\">Nilearn</a></b> (🥇38 ·  ⭐ 1.3K) - Machine learning for NeuroImaging in Python. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/nilearn/nilearn) (👨‍💻 260 · 🔀 610 · 📥 410 · 📦 4.4K · 📋 2.4K - 12% open · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https://github.com/nilearn/nilearn\n\t```\n- [PyPi](https://pypi.org/project/nilearn) (📥 270K / month · 📦 350 · ⏱️ 03.09.2025):\n\t```\n\tpip install nilearn\n\t```\n- [Conda](https://anaconda.org/conda-forge/nilearn) (📥 400K · ⏱️ 04.09.2025):\n\t```\n\tconda install -c conda-forge nilearn\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/Project-MONAI/MONAI\">MONAI</a></b> (🥇37 ·  ⭐ 7K) - AI Toolkit for Healthcare Imaging. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/Project-MONAI/MONAI) (👨‍💻 240 · 🔀 1.3K · 📦 4.5K · 📋 3.3K - 14% open · ⏱️ 10.10.2025):\n\n\t```\n\tgit clone https://github.com/Project-MONAI/MONAI\n\t```\n- [PyPi](https://pypi.org/project/monai) (📥 320K / month · 📦 200 · ⏱️ 22.09.2025):\n\t```\n\tpip install monai\n\t```\n- [Conda](https://anaconda.org/conda-forge/monai) (📥 60K · ⏱️ 22.09.2025):\n\t```\n\tconda install -c conda-forge monai\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/mne-tools/mne-python\">MNE</a></b> (🥇37 ·  ⭐ 3.1K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code></summary>\n\n- [GitHub](https://github.com/mne-tools/mne-python) (👨‍💻 410 · 🔀 1.4K · 📋 5.1K - 11% open · ⏱️ 29.10.2025):\n\n\t```\n\tgit clone https://github.com/mne-tools/mne-python\n\t```\n- [PyPi](https://pypi.org/project/mne) (📥 280K / month · 📦 530 · ⏱️ 14.10.2025):\n\t```\n\tpip install mne\n\t```\n- [Conda](https://anaconda.org/conda-forge/mne) (📥 620K · ⏱️ 14.10.2025):\n\t```\n\tconda install -c conda-forge mne\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/hail-is/hail\">Hail</a></b> (🥈34 ·  ⭐ 1K) - Cloud-native genomic dataframes and batch computing. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1N\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/hail-is/hail) (👨‍💻 100 · 🔀 260 · 📦 170 · 📋 2.6K - 11% open · ⏱️ 29.10.2025):\n\n\t```\n\tgit clone https://github.com/hail-is/hail\n\t```\n- [PyPi](https://pypi.org/project/hail) (📥 110K / month · 📦 44 · ⏱️ 09.09.2025):\n\t```\n\tpip install hail\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/nipy/nibabel\">NiBabel</a></b> (🥈34 ·  ⭐ 740) - Python package to access a cacophony of neuro-imaging file formats. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/nipy/nibabel) (👨‍💻 110 · 🔀 260 · 📦 30K · 📋 550 - 23% open · ⏱️ 21.10.2025):\n\n\t```\n\tgit clone https://github.com/nipy/nibabel\n\t```\n- [PyPi](https://pypi.org/project/nibabel) (📥 910K / month · 📦 1.2K · ⏱️ 23.10.2024):\n\t```\n\tpip install nibabel\n\t```\n- [Conda](https://anaconda.org/conda-forge/nibabel) (📥 1M · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge nibabel\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/nipy/nipype\">NIPYPE</a></b> (🥈33 ·  ⭐ 790) - Workflows and interfaces for neuroimaging packages. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/nipy/nipype) (👨‍💻 260 · 🔀 530 · 📦 7.2K · 📋 1.4K - 30% open · ⏱️ 28.04.2025):\n\n\t```\n\tgit clone https://github.com/nipy/nipype\n\t```\n- [PyPi](https://pypi.org/project/nipype) (📥 360K / month · 📦 150 · ⏱️ 19.03.2025):\n\t```\n\tpip install nipype\n\t```\n- [Conda](https://anaconda.org/conda-forge/nipype) (📥 990K · ⏱️ 05.05.2025):\n\t```\n\tconda install -c conda-forge nipype\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/CamDavidsonPilon/lifelines\">Lifelines</a></b> (🥈32 ·  ⭐ 2.5K · 💤) - Survival analysis in Python. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/CamDavidsonPilon/lifelines) (👨‍💻 120 · 🔀 560 · 📦 4.2K · 📋 980 - 27% open · ⏱️ 29.10.2024):\n\n\t```\n\tgit clone https://github.com/CamDavidsonPilon/lifelines\n\t```\n- [PyPi](https://pypi.org/project/lifelines) (📥 1.5M / month · 📦 160 · ⏱️ 29.10.2024):\n\t```\n\tpip install lifelines\n\t```\n- [Conda](https://anaconda.org/conda-forge/lifelines) (📥 500K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge lifelines\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/google/deepvariant\">DeepVariant</a></b> (🥉27 ·  ⭐ 3.5K) - DeepVariant is an analysis pipeline that uses a deep neural.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/google/deepvariant) (👨‍💻 41 · 🔀 760 · 📥 4.9K · 📦 4 · 📋 960 - 0% open · ⏱️ 10.09.2025):\n\n\t```\n\tgit clone https://github.com/google/deepvariant\n\t```\n- [Conda](https://anaconda.org/bioconda/deepvariant) (📥 79K · ⏱️ 24.05.2025):\n\t```\n\tconda install -c bioconda deepvariant\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/brainiak/brainiak\">Brainiak</a></b> (🥉19 ·  ⭐ 360 · 💤) - Brain Imaging Analysis Kit. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/brainiak/brainiak) (👨‍💻 35 · 🔀 140 · 📋 230 - 38% open · ⏱️ 06.01.2025):\n\n\t```\n\tgit clone https://github.com/brainiak/brainiak\n\t```\n- [PyPi](https://pypi.org/project/brainiak) (📥 1.3K / month · ⏱️ 07.01.2025):\n\t```\n\tpip install brainiak\n\t```\n- [Docker Hub](https://hub.docker.com/r/brainiak/brainiak) (📥 2K · ⭐ 1 · ⏱️ 07.01.2025):\n\t```\n\tdocker pull brainiak/brainiak\n\t```\n</details>\n<details><summary>Show 10 hidden projects...</summary>\n\n- <b><a href=\"https://github.com/dipy/dipy\">DIPY</a></b> (🥈31 ·  ⭐ 790) - DIPY is the paragon 3D/4D+ medical imaging library in Python... <code>❗Unlicensed</code>\n- <b><a href=\"https://github.com/NifTK/NiftyNet\">NiftyNet</a></b> (🥉24 ·  ⭐ 1.4K · 💀) - [unmaintained] An open-source convolutional neural.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/nipy/nipy\">NIPY</a></b> (🥉24 ·  ⭐ 400 · 💤) - Neuroimaging in Python FMRI analysis package. <code>❗Unlicensed</code>\n- <b><a href=\"https://github.com/loli/medpy\">MedPy</a></b> (🥉23 ·  ⭐ 610 · 💀) - Medical image processing in Python. <code><a href=\"http://bit.ly/2M0xdwT\">❗️GPL-3.0</a></code>\n- <b><a href=\"https://github.com/DLTK/DLTK\">DLTK</a></b> (🥉20 ·  ⭐ 1.4K · 💀) - Deep Learning Toolkit for Medical Image Analysis. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/projectglow/glow\">Glow</a></b> (🥉19 ·  ⭐ 290 · 💤) - An open-source toolkit for large-scale genomic analysis. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/perone/medicaltorch\">MedicalTorch</a></b> (🥉17 ·  ⭐ 870 · 💀) - A medical imaging framework for Pytorch. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/MIC-DKFZ/medicaldetectiontoolkit\">Medical Detection Toolkit</a></b> (🥉14 ·  ⭐ 1.3K · 💀) - The Medical Detection Toolkit contains 2D + 3D.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/QTIM-Lab/DeepNeuro\">DeepNeuro</a></b> (🥉14 ·  ⭐ 130 · 💀) - A deep learning python package for neuroimaging data. Made by:. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/Tencent/MedicalNet\">MedicalNet</a></b> (🥉12 ·  ⭐ 2.1K · 💀) - Many studies have shown that the performance on deep learning is.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n</details>\n<br>\n\n## Tabular Data\n\n<a href=\"#contents\"><img align=\"right\" width=\"15\" height=\"15\" src=\"https://git.io/JtehR\" alt=\"Back to top\"></a>\n\n_Libraries for processing tabular and structured data._\n\n<details><summary><b><a href=\"https://github.com/skrub-data/skrub\">skrub</a></b> (🥇30 ·  ⭐ 1.5K) - Machine learning with dataframes. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code><img src=\"https://git.io/JLy1S\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/skrub-data/skrub) (👨‍💻 82 · 🔀 170 · 📦 100 · 📋 580 - 21% open · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https://github.com/skrub-data/skrub\n\t```\n- [PyPi](https://pypi.org/project/skrub) (📥 45K / month · 📦 20 · ⏱️ 25.09.2025):\n\t```\n\tpip install skrub\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/manujosephv/pytorch_tabular\">pytorch_tabular</a></b> (🥈23 ·  ⭐ 1.6K) - A standard framework for modelling Deep Learning Models.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/manujosephv/pytorch_tabular) (👨‍💻 27 · 🔀 160 · 📥 64 · 📋 180 - 5% open · ⏱️ 19.04.2025):\n\n\t```\n\tgit clone https://github.com/manujosephv/pytorch_tabular\n\t```\n- [PyPi](https://pypi.org/project/pytorch_tabular) (📥 5.5K / month · 📦 9 · ⏱️ 28.11.2024):\n\t```\n\tpip install pytorch_tabular\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/upgini/upgini\">upgini</a></b> (🥈21 ·  ⭐ 350) - Data search & enrichment library for Machine Learning Easily find and add.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code></summary>\n\n- [GitHub](https://github.com/upgini/upgini) (👨‍💻 14 · 🔀 25 · 📦 9 · ⏱️ 28.10.2025):\n\n\t```\n\tgit clone https://github.com/upgini/upgini\n\t```\n- [PyPi](https://pypi.org/project/upgini) (📥 5.9K / month · ⏱️ 28.10.2025):\n\t```\n\tpip install upgini\n\t```\n</details>\n<details><summary>Show 3 hidden projects...</summary>\n\n- <b><a href=\"https://github.com/AnotherSamWilson/miceforest\">miceforest</a></b> (🥈21 ·  ⭐ 390) - Multiple Imputation with LightGBM in Python. <code>❗Unlicensed</code>\n- <b><a href=\"https://github.com/carefree0910/carefree-learn\">carefree-learn</a></b> (🥉18 ·  ⭐ 410 · 💀) - Deep Learning PyTorch. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/firmai/deltapy\">deltapy</a></b> (🥉13 ·  ⭐ 550 · 💀) - DeltaPy - Tabular Data Augmentation (by @firmai). <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n</details>\n<br>\n\n## Optical Character Recognition\n\n<a href=\"#contents\"><img align=\"right\" width=\"15\" height=\"15\" src=\"https://git.io/JtehR\" alt=\"Back to top\"></a>\n\n_Libraries for optical character recognition (OCR) and text extraction from images or videos._\n\n<details><summary><b><a href=\"https://github.com/PaddlePaddle/PaddleOCR\">PaddleOCR</a></b> (🥇44 ·  ⭐ 62K) - Turn any PDF or image document into structured data for your.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1M\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (👨‍💻 320 · 🔀 9.2K · 📥 2M · 📦 6.2K · 📋 10K - 1% open · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https://github.com/PaddlePaddle/PaddleOCR\n\t```\n- [PyPi](https://pypi.org/project/paddleocr) (📥 750K / month · 📦 210 · ⏱️ 29.10.2025):\n\t```\n\tpip install paddleocr\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/ocrmypdf/OCRmyPDF\">OCRmyPDF</a></b> (🥇37 ·  ⭐ 32K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. <code><a href=\"http://bit.ly/3postzC\">MPL-2.0</a></code></summary>\n\n- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (👨‍💻 120 · 🔀 2.2K · 📥 15K · 📦 1.4K · 📋 1.3K - 11% open · ⏱️ 25.10.2025):\n\n\t```\n\tgit clone https://github.com/ocrmypdf/OCRmyPDF\n\t```\n- [PyPi](https://pypi.org/project/ocrmypdf) (📥 400K / month · 📦 58 · ⏱️ 16.10.2025):\n\t```\n\tpip install ocrmypdf\n\t```\n- [Conda](https://anaconda.org/conda-forge/ocrmypdf) (📥 110K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge ocrmypdf\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/madmaze/pytesseract\">Tesseract</a></b> (🥈32 ·  ⭐ 6.2K · 💤) - Python-tesseract is an optical character recognition (OCR).. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/madmaze/pytesseract) (👨‍💻 50 · 🔀 730 · 📋 370 - 3% open · ⏱️ 17.02.2025):\n\n\t```\n\tgit clone https://github.com/madmaze/pytesseract\n\t```\n- [PyPi](https://pypi.org/project/pytesseract) (📥 5.6M / month · 📦 970 · ⏱️ 16.08.2024):\n\t```\n\tpip install pytesseract\n\t```\n- [Conda](https://anaconda.org/conda-forge/pytesseract) (📥 690K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge pytesseract\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/sirfz/tesserocr\">tesserocr</a></b> (🥈32 ·  ⭐ 2.1K) - A Python wrapper for the tesseract-ocr API. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/sirfz/tesserocr) (👨‍💻 34 · 🔀 260 · 📥 1.2K · 📦 1.3K · 📋 290 - 14% open · ⏱️ 10.10.2025):\n\n\t```\n\tgit clone https://github.com/sirfz/tesserocr\n\t```\n- [PyPi](https://pypi.org/project/tesserocr) (📥 210K / month · 📦 56 · ⏱️ 10.10.2025):\n\t```\n\tpip install tesserocr\n\t```\n- [Conda](https://anaconda.org/conda-forge/tesserocr) (📥 290K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge tesserocr\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/open-mmlab/mmocr\">MMOCR</a></b> (🥉27 ·  ⭐ 4.7K · 💤) - OpenMMLab Text Detection, Recognition and Understanding Toolbox. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/open-mmlab/mmocr) (👨‍💻 90 · 🔀 770 · 📦 240 · 📋 930 - 20% open · ⏱️ 27.11.2024):\n\n\t```\n\tgit clone https://github.com/open-mmlab/mmocr\n\t```\n- [PyPi](https://pypi.org/project/mmocr) (📥 6K / month · 📦 4 · ⏱️ 05.05.2022):\n\t```\n\tpip install mmocr\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/faustomorales/keras-ocr\">keras-ocr</a></b> (🥉25 ·  ⭐ 1.5K) - A packaged and flexible version of the CRAFT text detector and.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/faustomorales/keras-ocr) (👨‍💻 19 · 🔀 340 · 📥 2.1M · 📦 720 · 📋 220 - 46% open · ⏱️ 22.09.2025):\n\n\t```\n\tgit clone https://github.com/faustomorales/keras-ocr\n\t```\n- [PyPi](https://pypi.org/project/keras-ocr) (📥 18K / month · 📦 8 · ⏱️ 06.11.2023):\n\t```\n\tpip install keras-ocr\n\t```\n- [Conda](https://anaconda.org/anaconda/keras-ocr) (📥 450 · ⏱️ 22.04.2025):\n\t```\n\tconda install -c anaconda keras-ocr\n\t```\n</details>\n<details><summary>Show 6 hidden projects...</summary>\n\n- <b><a href=\"https://github.com/JaidedAI/EasyOCR\">EasyOCR</a></b> (🥈34 ·  ⭐ 28K · 💀) - Ready-to-use OCR with 80+ supported languages and all popular.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/Calamari-OCR/calamari\">calamari</a></b> (🥉22 ·  ⭐ 1.2K) - Line based ATR Engine based on OCRopy. <code><a href=\"http://bit.ly/2M0xdwT\">❗️GPL-3.0</a></code>\n- <b><a href=\"https://github.com/WZBSocialScienceCenter/pdftabextract\">pdftabextract</a></b> (🥉21 ·  ⭐ 2.2K · 💀) - A set of tools for extracting tables from PDF files.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/emedvedev/attention-ocr\">attention-ocr</a></b> (🥉21 ·  ⭐ 1.1K · 💀) - A Tensorflow model for text recognition (CNN + seq2seq.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/jlsutherland/doc2text\">doc2text</a></b> (🥉20 ·  ⭐ 1.3K · 💀) - Detect text blocks and OCR poorly scanned PDFs in bulk. Python.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/aashrafh/Mozart\">Mozart</a></b> (🥉10 ·  ⭐ 690 · 💀) - An optical music recognition (OMR) system. Converts sheet.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n</details>\n<br>\n\n## Data Containers & Structures\n\n<a href=\"#contents\"><img align=\"right\" width=\"15\" height=\"15\" src=\"https://git.io/JtehR\" alt=\"Back to top\"></a>\n\n_General-purpose data containers & structures as well as utilities & extensions for pandas._\n\n🔗&nbsp;<b><a href=\"https://github.com/ml-tooling/best-of-python#data-containers--dataframes\">best-of-python - Data Containers</a></b> ( ⭐ 4.2K)  - Collection of data-container, dataframe, and pandas-..\n\n<br>\n\n## Data Loading & Extraction\n\n<a href=\"#contents\"><img align=\"right\" width=\"15\" height=\"15\" src=\"https://git.io/JtehR\" alt=\"Back to top\"></a>\n\n_Libraries for loading, collecting, and extracting data from a variety of data sources and formats._\n\n🔗&nbsp;<b><a href=\"https://github.com/ml-tooling/best-of-python#data-loading--extraction\">best-of-python - Data Extraction</a></b> ( ⭐ 4.2K)  - Collection of data-loading and -extraction libraries.\n\n<br>\n\n## Web Scraping & Crawling\n\n<a href=\"#contents\"><img align=\"right\" width=\"15\" height=\"15\" src=\"https://git.io/JtehR\" alt=\"Back to top\"></a>\n\n_Libraries for web scraping, crawling, downloading, and mining as well as libraries._\n\n🔗&nbsp;<b><a href=\"https://github.com/ml-tooling/best-of-web-python#web-scraping--crawling\">best-of-web-python - Web Scraping</a></b> ( ⭐ 2.6K)  - Collection of web-scraping and crawling libraries.\n\n<br>\n\n## Data Pipelines & Streaming\n\n<a href=\"#contents\"><img align=\"right\" width=\"15\" height=\"15\" src=\"https://git.io/JtehR\" alt=\"Back to top\"></a>\n\n_Libraries for data batch- and stream-processing, workflow automation, job scheduling, and other data pipeline tasks._\n\n🔗&nbsp;<b><a href=\"https://github.com/ml-tooling/best-of-python#data-pipelines--streaming\">best-of-python - Data Pipelines</a></b> ( ⭐ 4.2K)  - Libraries for data batch- and stream-processing,..\n\n<details><summary>Show 1 hidden projects...</summary>\n\n- <b><a href=\"https://github.com/clugen/pyclugen\">pyclugen</a></b> (🥇10 ·  ⭐ 10) - Multidimensional cluster generation in Python. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n</details>\n<br>\n\n## Distributed Machine Learning\n\n<a href=\"#contents\"><img align=\"right\" width=\"15\" height=\"15\" src=\"https://git.io/JtehR\" alt=\"Back to top\"></a>\n\n_Libraries that provide capabilities to distribute and parallelize machine learning tasks across large-scale compute infrastructure._\n\n<details><summary><b><a href=\"https://github.com/ray-project/ray\">Ray</a></b> (🥇48 ·  ⭐ 40K) - Ray is an AI compute engine. Ray consists of a core distributed runtime.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/ray-project/ray) (👨‍💻 1.4K · 🔀 6.8K · 📥 270 · 📦 27K · 📋 22K - 14% open · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https://github.com/ray-project/ray\n\t```\n- [PyPi](https://pypi.org/project/ray) (📥 30M / month · 📦 1.1K · ⏱️ 29.10.2025):\n\t```\n\tpip install ray\n\t```\n- [Conda](https://anaconda.org/conda-forge/ray-tune) (📥 920K · ⏱️ 22.10.2025):\n\t```\n\tconda install -c conda-forge ray-tune\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/dask/dask\">dask</a></b> (🥇45 ·  ⭐ 14K · 📈) - Parallel computing with task scheduling. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code></summary>\n\n- [GitHub](https://github.com/dask/dask) (👨‍💻 630 · 🔀 1.8K · 📦 77K · 📋 5.6K - 21% open · ⏱️ 29.10.2025):\n\n\t```\n\tgit clone https://github.com/dask/dask\n\t```\n- [PyPi](https://pypi.org/project/dask) (📥 20M / month · 📦 3.2K · ⏱️ 14.10.2025):\n\t```\n\tpip install dask\n\t```\n- [Conda](https://anaconda.org/conda-forge/dask) (📥 14M · ⏱️ 14.10.2025):\n\t```\n\tconda install -c conda-forge dask\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/deepspeedai/DeepSpeed\">DeepSpeed</a></b> (🥇41 ·  ⭐ 41K) - DeepSpeed is a deep learning optimization library that makes.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/deepspeedai/DeepSpeed) (👨‍💻 420 · 🔀 4.6K · 📦 15K · 📋 3.2K - 34% open · ⏱️ 29.10.2025):\n\n\t```\n\tgit clone https://github.com/microsoft/DeepSpeed\n\t```\n- [PyPi](https://pypi.org/project/deepspeed) (📥 990K / month · 📦 350 · ⏱️ 23.10.2025):\n\t```\n\tpip install deepspeed\n\t```\n- [Docker Hub](https://hub.docker.com/r/deepspeed/deepspeed) (📥 24K · ⭐ 4 · ⏱️ 02.09.2022):\n\t```\n\tdocker pull deepspeed/deepspeed\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/dask/distributed\">dask.distributed</a></b> (🥇39 ·  ⭐ 1.7K) - A distributed task scheduler for Dask. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code></summary>\n\n- [GitHub](https://github.com/dask/distributed) (👨‍💻 340 · 🔀 740 · 📦 42K · 📋 3.9K - 37% open · ⏱️ 28.10.2025):\n\n\t```\n\tgit clone https://github.com/dask/distributed\n\t```\n- [PyPi](https://pypi.org/project/distributed) (📥 5.4M / month · 📦 1K · ⏱️ 14.10.2025):\n\t```\n\tpip install distributed\n\t```\n- [Conda](https://anaconda.org/conda-forge/distributed) (📥 20M · ⏱️ 14.10.2025):\n\t```\n\tconda install -c conda-forge distributed\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/horovod/horovod\">horovod</a></b> (🥈36 ·  ⭐ 15K) - Distributed training framework for TensorFlow, Keras, PyTorch, and.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/horovod/horovod) (👨‍💻 180 · 🔀 2.3K · 📦 1.4K · 📋 2.3K - 17% open · ⏱️ 28.10.2025):\n\n\t```\n\tgit clone https://github.com/horovod/horovod\n\t```\n- [PyPi](https://pypi.org/project/horovod) (📥 78K / month · 📦 34 · ⏱️ 12.06.2023):\n\t```\n\tpip install horovod\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/Lightning-AI/torchmetrics\">metrics</a></b> (🥈36 ·  ⭐ 2.3K) - Machine learning metrics for distributed, scalable PyTorch.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/Lightning-AI/torchmetrics) (👨‍💻 280 · 🔀 460 · 📥 6.9K · 📦 45K · 📋 990 - 8% open · ⏱️ 27.10.2025):\n\n\t```\n\tgit clone https://github.com/Lightning-AI/metrics\n\t```\n- [PyPi](https://pypi.org/project/metrics) (📥 4.6K / month · 📦 4 · ⏱️ 26.02.2025):\n\t```\n\tpip install metrics\n\t```\n- [Conda](https://anaconda.org/conda-forge/torchmetrics) (📥 2.2M · ⏱️ 03.09.2025):\n\t```\n\tconda install -c conda-forge torchmetrics\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/h2oai/h2o-3\">H2O-3</a></b> (🥈34 ·  ⭐ 7.3K) - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/h2oai/h2o-3) (👨‍💻 280 · 🔀 2K · 📦 99 · 📋 9.6K - 30% open · ⏱️ 21.10.2025):\n\n\t```\n\tgit clone https://github.com/h2oai/h2o-3\n\t```\n- [PyPi](https://pypi.org/project/h2o) (📥 180K / month · 📦 68 · ⏱️ 08.10.2025):\n\t```\n\tpip install h2o\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/hpcaitech/ColossalAI\">ColossalAI</a></b> (🥈33 ·  ⭐ 41K) - Making large AI models cheaper, faster and more accessible. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/hpcaitech/ColossalAI) (👨‍💻 200 · 🔀 4.5K · 📦 530 · 📋 1.8K - 26% open · ⏱️ 26.09.2025):\n\n\t```\n\tgit clone https://github.com/hpcaitech/colossalai\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/mpi4py/mpi4py\">mpi4py</a></b> (🥈33 ·  ⭐ 880) - Python bindings for MPI. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code></summary>\n\n- [GitHub](https://github.com/mpi4py/mpi4py) (👨‍💻 28 · 🔀 130 · 📥 39K · 📦 12K · 📋 230 - 2% open · ⏱️ 29.10.2025):\n\n\t```\n\tgit clone https://github.com/mpi4py/mpi4py\n\t```\n- [PyPi](https://pypi.org/project/mpi4py) (📥 980K / month · 📦 1K · ⏱️ 10.10.2025):\n\t```\n\tpip install mpi4py\n\t```\n- [Conda](https://anaconda.org/conda-forge/mpi4py) (📥 4.5M · ⏱️ 14.10.2025):\n\t```\n\tconda install -c conda-forge mpi4py\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/facebookresearch/fairscale\">FairScale</a></b> (🥈31 ·  ⭐ 3.4K) - PyTorch extensions for high performance and large scale training. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/facebookresearch/fairscale) (👨‍💻 77 · 🔀 290 · 📦 9K · 📋 390 - 26% open · ⏱️ 26.04.2025):\n\n\t```\n\tgit clone https://github.com/facebookresearch/fairscale\n\t```\n- [PyPi](https://pypi.org/project/fairscale) (📥 530K / month · 📦 150 · ⏱️ 11.12.2022):\n\t```\n\tpip install fairscale\n\t```\n- [Conda](https://anaconda.org/conda-forge/fairscale) (📥 530K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge fairscale\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/facebookincubator/submitit\">Submit it</a></b> (🥈31 ·  ⭐ 1.5K) - Python 3.8+ toolbox for submitting jobs to Slurm. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/facebookincubator/submitit) (👨‍💻 26 · 🔀 140 · 📦 4.7K · 📋 130 - 38% open · ⏱️ 21.05.2025):\n\n\t```\n\tgit clone https://github.com/facebookincubator/submitit\n\t```\n- [PyPi](https://pypi.org/project/submitit) (📥 840K / month · 📦 74 · ⏱️ 21.05.2025):\n\t```\n\tpip install submitit\n\t```\n- [Conda](https://anaconda.org/conda-forge/submitit) (📥 65K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge submitit\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/intel/ipex-llm\">BigDL</a></b> (🥈30 ·  ⭐ 8.4K) - Accelerate local LLM inference and finetuning (LLaMA, Mistral,.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/intel/ipex-llm) (👨‍💻 120 · 🔀 1.4K · 📥 710 · 📋 3K - 40% open · ⏱️ 14.10.2025):\n\n\t```\n\tgit clone https://github.com/intel-analytics/BigDL\n\t```\n- [PyPi](https://pypi.org/project/bigdl) (📥 15K / month · 📦 2 · ⏱️ 24.03.2024):\n\t```\n\tpip install bigdl\n\t```\n- [Maven](https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4) (📦 5 · ⏱️ 20.04.2021):\n\t```\n\t<dependency>\n\t\t<groupId>com.intel.analytics.bigdl</groupId>\n\t\t<artifactId>bigdl-SPARK_2.4</artifactId>\n\t\t<version>[VERSION]</version>\n\t</dependency>\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/microsoft/SynapseML\">SynapseML</a></b> (🥈30 ·  ⭐ 5.2K) - Simple and Distributed Machine Learning. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/microsoft/SynapseML) (👨‍💻 130 · 🔀 850 · 📋 820 - 49% open · ⏱️ 29.10.2025):\n\n\t```\n\tgit clone https://github.com/microsoft/SynapseML\n\t```\n- [PyPi](https://pypi.org/project/synapseml) (📥 1.6M / month · 📦 7 · ⏱️ 03.10.2025):\n\t```\n\tpip install synapseml\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/uber/petastorm\">petastorm</a></b> (🥈29 ·  ⭐ 1.9K) - Petastorm library enables single machine or distributed training.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/uber/petastorm) (👨‍💻 52 · 🔀 280 · 📥 580 · 📦 390 · 📋 330 - 54% open · ⏱️ 15.09.2025):\n\n\t```\n\tgit clone https://github.com/uber/petastorm\n\t```\n- [PyPi](https://pypi.org/project/petastorm) (📥 270K / month · 📦 15 · ⏱️ 11.08.2025):\n\t```\n\tpip install petastorm\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/dask/dask-ml\">dask-ml</a></b> (🥉28 ·  ⭐ 940) - Scalable Machine Learning with Dask. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code></summary>\n\n- [GitHub](https://github.com/dask/dask-ml) (👨‍💻 82 · 🔀 260 · 📦 1.3K · 📋 550 - 51% open · ⏱️ 27.09.2025):\n\n\t```\n\tgit clone https://github.com/dask/dask-ml\n\t```\n- [PyPi](https://pypi.org/project/dask-ml) (📥 120K / month · 📦 100 · ⏱️ 08.02.2025):\n\t```\n\tpip install dask-ml\n\t```\n- [Conda](https://anaconda.org/conda-forge/dask-ml) (📥 1.1M · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge dask-ml\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/learning-at-home/hivemind\">Hivemind</a></b> (🥉26 ·  ⭐ 2.3K) - Decentralized deep learning in PyTorch. Built to train models on.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/learning-at-home/hivemind) (👨‍💻 34 · 🔀 190 · 📦 130 · 📋 190 - 43% open · ⏱️ 12.10.2025):\n\n\t```\n\tgit clone https://github.com/learning-at-home/hivemind\n\t```\n- [PyPi](https://pypi.org/project/hivemind) (📥 43K / month · 📦 12 · ⏱️ 20.04.2025):\n\t```\n\tpip install hivemind\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/microsoft/SynapseML\">MMLSpark</a></b> (🥉23 ·  ⭐ 5.2K) - Simple and Distributed Machine Learning. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1N\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/microsoft/SynapseML) (👨‍💻 130 · 🔀 850 · 📋 820 - 49% open · ⏱️ 29.10.2025):\n\n\t```\n\tgit clone https://github.com/microsoft/SynapseML\n\t```\n- [PyPi](https://pypi.org/project/mmlspark) (⏱️ 18.03.2020):\n\t```\n\tpip install mmlspark\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/apache/singa\">Apache Singa</a></b> (🥉23 ·  ⭐ 3.6K · 💤) - a distributed deep learning platform. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/apache/singa) (👨‍💻 98 · 🔀 1.3K · 📦 6 · 📋 140 - 35% open · ⏱️ 26.03.2025):\n\n\t```\n\tgit clone https://github.com/apache/singa\n\t```\n- [Conda](https://anaconda.org/nusdbsystem/singa) (📥 1.2K · ⏱️ 25.03.2025):\n\t```\n\tconda install -c nusdbsystem singa\n\t```\n- [Docker Hub](https://hub.docker.com/r/apache/singa) (📥 9.9K · ⭐ 3 · ⏱️ 31.05.2022):\n\t```\n\tdocker pull apache/singa\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/intel/analytics-zoo\">analytics-zoo</a></b> (🥉22 ·  ⭐ 2.6K) - Distributed Tensorflow, Keras and PyTorch on Apache.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1N\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/intel/analytics-zoo) (👨‍💻 110 · 🔀 730 · 📋 1.3K - 32% open · ⏱️ 09.10.2025):\n\n\t```\n\tgit clone https://github.com/intel-analytics/analytics-zoo\n\t```\n- [PyPi](https://pypi.org/project/analytics-zoo) (📥 600 / month · 📦 1 · ⏱️ 22.08.2022):\n\t```\n\tpip install analytics-zoo\n\t```\n</details>\n<details><summary>Show 17 hidden projects...</summary>\n\n- <b><a href=\"https://github.com/DEAP/deap\">DEAP</a></b> (🥈34 ·  ⭐ 6.2K) - Distributed Evolutionary Algorithms in Python. <code><a href=\"http://bit.ly/37RvQcA\">❗️LGPL-3.0</a></code>\n- <b><a href=\"https://github.com/ipython/ipyparallel\">ipyparallel</a></b> (🥈29 ·  ⭐ 2.6K) - IPython Parallel: Interactive Parallel Computing in.. <code>❗Unlicensed</code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/yahoo/TensorFlowOnSpark\">TensorFlowOnSpark</a></b> (🥉25 ·  ⭐ 3.9K · 💀) - TensorFlowOnSpark brings TensorFlow programs to.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code><img src=\"https://git.io/JLy1N\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/maxpumperla/elephas\">Elephas</a></b> (🥉24 ·  ⭐ 1.6K · 💀) - Distributed Deep learning with Keras & Spark. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code>keras</code> <code><img src=\"https://git.io/JLy1N\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/tensorflow/mesh\">Mesh</a></b> (🥉23 ·  ⭐ 1.6K · 💀) - Mesh TensorFlow: Model Parallelism Made Easier. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/bytedance/byteps\">BytePS</a></b> (🥉21 ·  ⭐ 3.7K · 💀) - A high performance and generic framework for distributed DNN.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/peterwittek/somoclu\">somoclu</a></b> (🥉21 ·  ⭐ 280 · 💀) - Massively parallel self-organizing maps: accelerate training on.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/databricks/tensorframes\">TensorFrames</a></b> (🥉19 ·  ⭐ 750 · 💀) - [DEPRECATED] Tensorflow wrapper for DataFrames on.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code><img src=\"https://git.io/JLy1N\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/Ibotta/sk-dist\">sk-dist</a></b> (🥉19 ·  ⭐ 290 · 💀) - Distributed scikit-learn meta-estimators in PySpark. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code><img src=\"https://git.io/JLy1N\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/kingoflolz/mesh-transformer-jax\">mesh-transformer-jax</a></b> (🥉18 ·  ⭐ 6.4K · 💀) - Model parallel transformers in JAX and Haiku. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://jax.readthedocs.io/en/latest/_static/favicon.png\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/google-deepmind/launchpad\">launchpad</a></b> (🥉18 ·  ⭐ 330 · 💀) - Launchpad is a library that simplifies writing.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/uber/fiber\">Fiber</a></b> (🥉17 ·  ⭐ 1K · 💀) - Distributed Computing for AI Made Simple. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/Bluefog-Lib/bluefog\">bluefog</a></b> (🥉17 ·  ⭐ 290 · 💀) - Distributed and decentralized training framework for PyTorch.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/tunib-ai/parallelformers\">parallelformers</a></b> (🥉16 ·  ⭐ 790 · 💀) - Parallelformers: An Efficient Model Parallelization.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/ml-tooling/lazycluster\">LazyCluster</a></b> (🥉13 ·  ⭐ 49 · 💀) - Distributed machine learning made simple. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/petuum/autodist\">autodist</a></b> (🥉12 ·  ⭐ 130 · 💀) - Simple Distributed Deep Learning on TensorFlow. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/facebookresearch/moolib\">moolib</a></b> (🥉11 ·  ⭐ 370 · 💀) - A library for distributed ML training with PyTorch. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n</details>\n<br>\n\n## Hyperparameter Optimization & AutoML\n\n<a href=\"#contents\"><img align=\"right\" width=\"15\" height=\"15\" src=\"https://git.io/JtehR\" alt=\"Back to top\"></a>\n\n_Libraries for hyperparameter optimization, automl and neural architecture search._\n\n<details><summary><b><a href=\"https://github.com/optuna/optuna\">Optuna</a></b> (🥇44 ·  ⭐ 13K) - A hyperparameter optimization framework. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/optuna/optuna) (👨‍💻 320 · 🔀 1.2K · 📦 30K · 📋 1.8K - 3% open · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https://github.com/optuna/optuna\n\t```\n- [PyPi](https://pypi.org/project/optuna) (📥 7.6M / month · 📦 1.5K · ⏱️ 18.08.2025):\n\t```\n\tpip install optuna\n\t```\n- [Conda](https://anaconda.org/conda-forge/optuna) (📥 3.4M · ⏱️ 19.08.2025):\n\t```\n\tconda install -c conda-forge optuna\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/facebook/Ax\">Ax</a></b> (🥇36 ·  ⭐ 2.6K) - Adaptive Experimentation Platform. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/facebook/Ax) (👨‍💻 200 · 🔀 350 · 📦 1.2K · 📋 930 - 12% open · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https://github.com/facebook/Ax\n\t```\n- [PyPi](https://pypi.org/project/ax-platform) (📥 240K / month · 📦 71 · ⏱️ 09.09.2025):\n\t```\n\tpip install ax-platform\n\t```\n- [Conda](https://anaconda.org/conda-forge/ax-platform) (📥 49K · ⏱️ 10.09.2025):\n\t```\n\tconda install -c conda-forge ax-platform\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/autogluon/autogluon\">AutoGluon</a></b> (🥇35 ·  ⭐ 9.6K) - Fast and Accurate ML in 3 Lines of Code. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/autogluon/autogluon) (👨‍💻 140 · 🔀 1.1K · 📦 1.2K · 📋 1.8K - 24% open · ⏱️ 29.10.2025):\n\n\t```\n\tgit clone https://github.com/autogluon/autogluon\n\t```\n- [PyPi](https://pypi.org/project/autogluon) (📥 260K / month · 📦 38 · ⏱️ 23.10.2025):\n\t```\n\tpip install autogluon\n\t```\n- [Conda](https://anaconda.org/conda-forge/autogluon) (📥 45K · ⏱️ 30.07.2025):\n\t```\n\tconda install -c conda-forge autogluon\n\t```\n- [Docker Hub](https://hub.docker.com/r/autogluon/autogluon) (📥 20K · ⭐ 19 · ⏱️ 16.06.2025):\n\t```\n\tdocker pull autogluon/autogluon\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/meta-pytorch/botorch\">BoTorch</a></b> (🥇35 ·  ⭐ 3.4K) - Bayesian optimization in PyTorch. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/meta-pytorch/botorch) (👨‍💻 150 · 🔀 450 · 📦 1.8K · 📋 600 - 10% open · ⏱️ 29.10.2025):\n\n\t```\n\tgit clone https://github.com/pytorch/botorch\n\t```\n- [PyPi](https://pypi.org/project/botorch) (📥 480K / month · 📦 140 · ⏱️ 23.10.2025):\n\t```\n\tpip install botorch\n\t```\n- [Conda](https://anaconda.org/conda-forge/botorch) (📥 180K · ⏱️ 24.10.2025):\n\t```\n\tconda install -c conda-forge botorch\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/bayesian-optimization/BayesianOptimization\">Bayesian Optimization</a></b> (🥇34 ·  ⭐ 8.4K) - A Python implementation of global optimization with.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/bayesian-optimization/BayesianOptimization) (👨‍💻 52 · 🔀 1.6K · 📥 180 · 📦 4.1K · 📋 390 - 1% open · ⏱️ 09.09.2025):\n\n\t```\n\tgit clone https://github.com/fmfn/BayesianOptimization\n\t```\n- [PyPi](https://pypi.org/project/bayesian-optimization) (📥 510K / month · 📦 190 · ⏱️ 24.07.2025):\n\t```\n\tpip install bayesian-optimization\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/hyperopt/hyperopt\">Hyperopt</a></b> (🥇34 ·  ⭐ 7.5K · 💤) - Distributed Asynchronous Hyperparameter Optimization in Python. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code></summary>\n\n- [GitHub](https://github.com/hyperopt/hyperopt) (👨‍💻 100 · 🔀 1.1K · 📦 22K · 📋 800 - 17% open · ⏱️ 27.12.2024):\n\n\t```\n\tgit clone https://github.com/hyperopt/hyperopt\n\t```\n- [PyPi](https://pypi.org/project/hyperopt) (📥 2.7M / month · 📦 450 · ⏱️ 17.11.2021):\n\t```\n\tpip install hyperopt\n\t```\n- [Conda](https://anaconda.org/conda-forge/hyperopt) (📥 860K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge hyperopt\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/keras-team/autokeras\">AutoKeras</a></b> (🥈32 ·  ⭐ 9.3K · 💤) - AutoML library for deep learning. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/keras-team/autokeras) (👨‍💻 150 · 🔀 1.4K · 📥 21K · 📦 890 · 📋 910 - 16% open · ⏱️ 16.12.2024):\n\n\t```\n\tgit clone https://github.com/keras-team/autokeras\n\t```\n- [PyPi](https://pypi.org/project/autokeras) (📥 15K / month · 📦 13 · ⏱️ 20.03.2024):\n\t```\n\tpip install autokeras\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/alteryx/featuretools\">featuretools</a></b> (🥈32 ·  ⭐ 7.6K · 💤) - An open source python library for automated feature.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code></summary>\n\n- [GitHub](https://github.com/alteryx/featuretools) (👨‍💻 75 · 🔀 900 · 📦 2.1K · 📋 1K - 15% open · ⏱️ 13.11.2024):\n\n\t```\n\tgit clone https://github.com/alteryx/featuretools\n\t```\n- [PyPi](https://pypi.org/project/featuretools) (📥 100K / month · 📦 74 · ⏱️ 14.05.2024):\n\t```\n\tpip install featuretools\n\t```\n- [Conda](https://anaconda.org/conda-forge/featuretools) (📥 270K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge featuretools\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/facebookresearch/nevergrad\">nevergrad</a></b> (🥈30 ·  ⭐ 4.1K) - A Python toolbox for performing gradient-free optimization. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/facebookresearch/nevergrad) (👨‍💻 58 · 🔀 360 · 📦 1.2K · 📋 310 - 40% open · ⏱️ 23.04.2025):\n\n\t```\n\tgit clone https://github.com/facebookresearch/nevergrad\n\t```\n- [PyPi](https://pypi.org/project/nevergrad) (📥 150K / month · 📦 72 · ⏱️ 23.04.2025):\n\t```\n\tpip install nevergrad\n\t```\n- [Conda](https://anaconda.org/conda-forge/nevergrad) (📥 67K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge nevergrad\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/shankarpandala/lazypredict\">lazypredict</a></b> (🥈28 ·  ⭐ 3.2K) - Lazy Predict help build a lot of basic models without much code.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/shankarpandala/lazypredict) (👨‍💻 19 · 🔀 360 · 📦 1.4K · 📋 160 - 64% open · ⏱️ 17.10.2025):\n\n\t```\n\tgit clone https://github.com/shankarpandala/lazypredict\n\t```\n- [PyPi](https://pypi.org/project/lazypredict) (📥 31K / month · 📦 8 · ⏱️ 05.04.2025):\n\t```\n\tpip install lazypredict\n\t```\n- [Conda](https://anaconda.org/conda-forge/lazypredict) (📥 6.6K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge lazypredict\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/mljar/mljar-supervised\">mljar-supervised</a></b> (🥈28 ·  ⭐ 3.2K) - Python package for AutoML on Tabular Data with Feature.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/mljar/mljar-supervised) (👨‍💻 30 · 🔀 420 · 📦 170 · 📋 680 - 21% open · ⏱️ 07.07.2025):\n\n\t```\n\tgit clone https://github.com/mljar/mljar-supervised\n\t```\n- [PyPi](https://pypi.org/project/mljar-supervised) (📥 8.7K / month · 📦 6 · ⏱️ 07.07.2025):\n\t```\n\tpip install mljar-supervised\n\t```\n- [Conda](https://anaconda.org/conda-forge/mljar-supervised) (📥 52K · ⏱️ 08.07.2025):\n\t```\n\tconda install -c conda-forge mljar-supervised\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/SimonBlanke/Hyperactive\">Hyperactive</a></b> (🥈24 ·  ⭐ 530) - An optimization and data collection toolbox for convenient and fast.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/SimonBlanke/Hyperactive) (👨‍💻 15 · 🔀 51 · 📥 340 · 📦 40 · 📋 120 - 28% open · ⏱️ 25.10.2025):\n\n\t```\n\tgit clone https://github.com/SimonBlanke/Hyperactive\n\t```\n- [PyPi](https://pypi.org/project/hyperactive) (📥 4K / month · 📦 13 · ⏱️ 20.09.2025):\n\t```\n\tpip install hyperactive\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/aimclub/FEDOT\">FEDOT</a></b> (🥉23 ·  ⭐ 700) - Automated modeling and machine learning framework FEDOT. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code></summary>\n\n- [GitHub](https://github.com/aimclub/FEDOT) (👨‍💻 40 · 🔀 89 · 📦 65 · 📋 570 - 11% open · ⏱️ 14.10.2025):\n\n\t```\n\tgit clone https://github.com/nccr-itmo/FEDOT\n\t```\n- [PyPi](https://pypi.org/project/fedot) (📥 1.8K / month · 📦 7 · ⏱️ 10.03.2025):\n\t```\n\tpip install fedot\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/ScottfreeLLC/AlphaPy\">AlphaPy</a></b> (🥉21 ·  ⭐ 1.6K) - Python AutoML for Trading Systems and Sports Betting. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/ScottfreeLLC/AlphaPy) (👨‍💻 5 · 🔀 250 · 📦 10 · 📋 45 - 35% open · ⏱️ 24.08.2025):\n\n\t```\n\tgit clone https://github.com/ScottfreeLLC/AlphaPy\n\t```\n- [PyPi](https://pypi.org/project/alphapy) (📥 320 / month · ⏱️ 29.08.2020):\n\t```\n\tpip install alphapy\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/AutoViML/Auto_ViML\">Auto ViML</a></b> (🥉20 ·  ⭐ 540 · 💤) - Automatically Build Multiple ML Models with a Single Line of.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/AutoViML/Auto_ViML) (👨‍💻 9 · 🔀 100 · 📦 28 · ⏱️ 30.01.2025):\n\n\t```\n\tgit clone https://github.com/AutoViML/Auto_ViML\n\t```\n- [PyPi](https://pypi.org/project/autoviml) (📥 2.6K / month · 📦 3 · ⏱️ 30.01.2025):\n\t```\n\tpip install autoviml\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/AutoViML/featurewiz\">featurewiz</a></b> (🥉18 ·  ⭐ 670 · 💤) - Use advanced feature engineering strategies and select best.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/AutoViML/featurewiz) (👨‍💻 18 · 🔀 98 · 📋 110 - 0% open · ⏱️ 19.02.2025):\n\n\t```\n\tgit clone https://github.com/AutoViML/featurewiz\n\t```\n- [PyPi](https://pypi.org/project/featurewiz) (📥 4.6K / month · 📦 4 · ⏱️ 19.02.2025):\n\t```\n\tpip install featurewiz\n\t```\n</details>\n<details><summary>Show 36 hidden projects...</summary>\n\n- <b><a href=\"https://github.com/EpistasisLab/tpot\">TPOT</a></b> (🥈32 ·  ⭐ 10K) - A Python Automated Machine Learning tool that optimizes machine.. <code><a href=\"http://bit.ly/37RvQcA\">❗️LGPL-3.0</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/keras-team/keras-tuner\">Keras Tuner</a></b> (🥈32 ·  ⭐ 2.9K · 💀) - A Hyperparameter Tuning Library for Keras. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/scikit-optimize/scikit-optimize\">scikit-optimize</a></b> (🥈32 ·  ⭐ 2.8K · 💀) - Sequential model-based optimization with a.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/microsoft/nni\">NNI</a></b> (🥈31 ·  ⭐ 14K · 💀) - An open source AutoML toolkit for automate machine learning lifecycle,.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/automl/auto-sklearn\">auto-sklearn</a></b> (🥈31 ·  ⭐ 8K · 💀) - Automated Machine Learning with scikit-learn. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/maxpumperla/hyperas\">Hyperas</a></b> (🥈27 ·  ⭐ 2.2K · 💀) - Keras + Hyperopt: A very simple wrapper for convenient.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/automl/SMAC3\">SMAC3</a></b> (🥈27 ·  ⭐ 1.2K · 💤) - SMAC3: A Versatile Bayesian Optimization Package for.. <code><a href=\"https://tldrlegal.com/search?q=BSD-1-Clause\">❗️BSD-1-Clause</a></code>\n- <b><a href=\"https://github.com/SheffieldML/GPyOpt\">GPyOpt</a></b> (🥈26 ·  ⭐ 950 · 💀) - Gaussian Process Optimization using GPy. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/tensorflow/adanet\">AdaNet</a></b> (🥈24 ·  ⭐ 3.5K · 💀) - Fast and flexible AutoML with learning guarantees. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/ClimbsRocks/auto_ml\">auto_ml</a></b> (🥈24 ·  ⭐ 1.7K · 💀) - [UNMAINTAINED] Automated machine learning for analytics & production. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/autonomio/talos\">Talos</a></b> (🥈24 ·  ⭐ 1.6K · 💀) - Hyperparameter Experiments with TensorFlow and Keras. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/mindsdb/lightwood\">lightwood</a></b> (🥈24 ·  ⭐ 490) - Lightwood is Legos for Machine Learning. <code><a href=\"http://bit.ly/2M0xdwT\">❗️GPL-3.0</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/Epistimio/orion\">Orion</a></b> (🥈24 ·  ⭐ 300 · 💀) - Asynchronous Distributed Hyperparameter Optimization. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/automl/HpBandSter\">HpBandSter</a></b> (🥉22 ·  ⭐ 620 · 💀) - a distributed Hyperband implementation on Steroids. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/AxeldeRomblay/MLBox\">MLBox</a></b> (🥉21 ·  ⭐ 1.5K · 💀) - MLBox is a powerful Automated Machine Learning python library. <code><a href=\"https://tldrlegal.com/search?q=BSD-1-Clause\">❗️BSD-1-Clause</a></code>\n- <b><a href=\"https://github.com/williamFalcon/test-tube\">Test Tube</a></b> (🥉21 ·  ⭐ 740 · 💀) - Python library to easily log experiments and parallelize.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/Neuraxio/Neuraxle\">Neuraxle</a></b> (🥉21 ·  ⭐ 610 · 💀) - The worlds cleanest AutoML library - Do hyperparameter tuning.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/claesenm/optunity\">optunity</a></b> (🥉21 ·  ⭐ 420 · 💀) - optimization routines for hyperparameter tuning. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/rsteca/sklearn-deap\">sklearn-deap</a></b> (🥉20 ·  ⭐ 770 · 💀) - Use evolutionary algorithms instead of gridsearch in.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/gugarosa/opytimizer\">opytimizer</a></b> (🥉20 ·  ⭐ 630 · 💀) - Opytimizer is a Python library consisting of meta-heuristic.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/nidhaloff/igel\">igel</a></b> (🥉19 ·  ⭐ 3.1K · 💀) - a delightful machine learning tool that allows you to train, test, and.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/dragonfly/dragonfly\">Dragonfly</a></b> (🥉19 ·  ⭐ 890 · 💀) - An open source python library for scalable Bayesian optimisation. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/HDI-Project/ATM\">Auto Tune Models</a></b> (🥉19 ·  ⭐ 530 · 💀) - Auto Tune Models - A multi-tenant, multi-data system for.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/sherpa-ai/sherpa\">Sherpa</a></b> (🥉19 ·  ⭐ 340 · 💀) - Hyperparameter optimization that enables researchers to.. <code><a href=\"http://bit.ly/2M0xdwT\">❗️GPL-3.0</a></code>\n- <b><a href=\"https://github.com/cerlymarco/shap-hypetune\">shap-hypetune</a></b> (🥉18 ·  ⭐ 580 · 💀) - A python package for simultaneous Hyperparameters Tuning and.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/tobegit3hub/advisor\">Advisor</a></b> (🥉17 ·  ⭐ 1.6K · 💀) - Open-source implementation of Google Vizier for hyper parameters.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/reiinakano/xcessiv\">Xcessiv</a></b> (🥉17 ·  ⭐ 1.3K · 💀) - A web-based application for quick, scalable, and automated.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/minimaxir/automl-gs\">automl-gs</a></b> (🥉16 ·  ⭐ 1.9K · 💀) - Provide an input CSV and a target field to predict, generate a.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/HunterMcGushion/hyperparameter_hunter\">HyperparameterHunter</a></b> (🥉16 ·  ⭐ 710 · 💀) - Easy hyperparameter optimization and automatic result.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/jmcarpenter2/parfit\">Parfit</a></b> (🥉15 ·  ⭐ 200 · 💀) - A package for parallelizing the fit and flexibly scoring of.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/carpedm20/ENAS-pytorch\">ENAS</a></b> (🥉13 ·  ⭐ 2.7K · 💀) - PyTorch implementation of Efficient Neural Architecture Search via.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/LGE-ARC-AdvancedAI/auptimizer\">Auptimizer</a></b> (🥉12 ·  ⭐ 200 · 💀) - An automatic ML model optimization tool. <code><a href=\"http://bit.ly/2M0xdwT\">❗️GPL-3.0</a></code>\n- <b><a href=\"https://github.com/genixpro/hypermax\">Hypermax</a></b> (🥉12 ·  ⭐ 110 · 💀) - Better, faster hyper-parameter optimization. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/google/model_search\">model_search</a></b> (🥉11 ·  ⭐ 3.3K · 💀) - AutoML algorithms for model architecture search at scale. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/joeddav/devol\">Devol</a></b> (🥉11 ·  ⭐ 950 · 💀) - Genetic neural architecture search with Keras. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/gdikov/hypertunity\">Hypertunity</a></b> (🥉9 ·  ⭐ 140 · 💀) - A toolset for black-box hyperparameter optimisation. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n</details>\n<br>\n\n## Reinforcement Learning\n\n<a href=\"#contents\"><img align=\"right\" width=\"15\" height=\"15\" src=\"https://git.io/JtehR\" alt=\"Back to top\"></a>\n\n_Libraries for building and evaluating reinforcement learning & agent-based systems._\n\n<details><summary><b><a href=\"https://github.com/AI4Finance-Foundation/FinRL\">FinRL</a></b> (🥇30 ·  ⭐ 13K) - FinRL: Financial Reinforcement Learning. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (👨‍💻 130 · 🔀 2.9K · 📦 110 · 📋 760 - 35% open · ⏱️ 03.10.2025):\n\n\t```\n\tgit clone https://github.com/AI4Finance-Foundation/FinRL\n\t```\n- [PyPi](https://pypi.org/project/finrl) (📥 2.8K / month · ⏱️ 08.01.2022):\n\t```\n\tpip install finrl\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/Farama-Foundation/ViZDoom\">ViZDoom</a></b> (🥇29 ·  ⭐ 1.9K) - Reinforcement Learning environments based on the 1993 game Doom. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/Farama-Foundation/ViZDoom) (👨‍💻 57 · 🔀 400 · 📥 12K · 📦 340 · 📋 470 - 6% open · ⏱️ 26.10.2025):\n\n\t```\n\tgit clone https://github.com/mwydmuch/ViZDoom\n\t```\n- [PyPi](https://pypi.org/project/vizdoom) (📥 6.9K / month · 📦 20 · ⏱️ 22.10.2025):\n\t```\n\tpip install vizdoom\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/google/dopamine\">Dopamine</a></b> (🥈27 ·  ⭐ 11K · 💤) - Dopamine is a research framework for fast prototyping of.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/google/dopamine) (👨‍💻 15 · 🔀 1.4K · 📦 21 · 📋 200 - 55% open · ⏱️ 04.11.2024):\n\n\t```\n\tgit clone https://github.com/google/dopamine\n\t```\n- [PyPi](https://pypi.org/project/dopamine-rl) (📥 68K / month · 📦 10 · ⏱️ 31.10.2024):\n\t```\n\tpip install dopamine-rl\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/google-deepmind/acme\">Acme</a></b> (🥈27 ·  ⭐ 3.8K) - A library of reinforcement learning components and agents. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/google-deepmind/acme) (👨‍💻 90 · 🔀 500 · 📦 250 · 📋 270 - 24% open · ⏱️ 26.09.2025):\n\n\t```\n\tgit clone https://github.com/deepmind/acme\n\t```\n- [PyPi](https://pypi.org/project/dm-acme) (📥 6.4K / month · 📦 3 · ⏱️ 10.02.2022):\n\t```\n\tpip install dm-acme\n\t```\n- [Conda](https://anaconda.org/conda-forge/dm-acme) (📥 14K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge dm-acme\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/tensorflow/agents\">TF-Agents</a></b> (🥈27 ·  ⭐ 3K) - TF-Agents: A reliable, scalable and easy to use TensorFlow.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/tensorflow/agents) (👨‍💻 150 · 🔀 740 · 📋 680 - 30% open · ⏱️ 16.06.2025):\n\n\t```\n\tgit clone https://github.com/tensorflow/agents\n\t```\n- [PyPi](https://pypi.org/project/tf-agents) (📥 45K / month · 📦 14 · ⏱️ 14.12.2023):\n\t```\n\tpip install tf-agents\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/google-deepmind/rlax\">RLax</a></b> (🥉26 ·  ⭐ 1.4K) - A library of reinforcement learning building blocks in JAX. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://jax.readthedocs.io/en/latest/_static/favicon.png\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/google-deepmind/rlax) (👨‍💻 23 · 🔀 95 · 📦 370 · 📋 28 - 32% open · ⏱️ 26.09.2025):\n\n\t```\n\tgit clone https://github.com/deepmind/rlax\n\t```\n- [PyPi](https://pypi.org/project/rlax) (📥 48K / month · 📦 22 · ⏱️ 01.09.2025):\n\t```\n\tpip install rlax\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/PaddlePaddle/PARL\">PARL</a></b> (🥉24 ·  ⭐ 3.4K) - A high-performance distributed training framework for Reinforcement.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1M\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/PaddlePaddle/PARL) (👨‍💻 46 · 🔀 820 · 📦 140 · 📋 540 - 23% open · ⏱️ 13.09.2025):\n\n\t```\n\tgit clone https://github.com/PaddlePaddle/PARL\n\t```\n- [PyPi](https://pypi.org/project/parl) (📥 770 / month · 📦 1 · ⏱️ 13.05.2022):\n\t```\n\tpip install parl\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/facebookresearch/ReAgent\">ReAgent</a></b> (🥉22 ·  ⭐ 3.7K) - A platform for Reasoning systems (Reinforcement Learning,.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/facebookresearch/ReAgent) (👨‍💻 170 · 🔀 520 · 📋 160 - 53% open · ⏱️ 17.10.2025):\n\n\t```\n\tgit clone https://github.com/facebookresearch/ReAgent\n\t```\n- [PyPi](https://pypi.org/project/reagent) (📥 50 / month · ⏱️ 27.05.2020):\n\t```\n\tpip install reagent\n\t```\n</details>\n<details><summary>Show 15 hidden projects...</summary>\n\n- <b><a href=\"https://github.com/openai/gym\">OpenAI Gym</a></b> (🥇40 ·  ⭐ 37K · 💀) - A toolkit for developing and comparing reinforcement learning.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/openai/baselines\">baselines</a></b> (🥇29 ·  ⭐ 17K · 💀) - OpenAI Baselines: high-quality implementations of reinforcement.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/keras-rl/keras-rl\">keras-rl</a></b> (🥈28 ·  ⭐ 5.6K · 💀) - Deep Reinforcement Learning for Keras. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/tensorlayer/TensorLayer\">TensorLayer</a></b> (🥈27 ·  ⭐ 7.4K · 💀) - Deep Learning and Reinforcement Learning Library for.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/tensorforce/tensorforce\">TensorForce</a></b> (🥈27 ·  ⭐ 3.3K · 💀) - Tensorforce: a TensorFlow library for applied.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/rlworkgroup/garage\">garage</a></b> (🥉26 ·  ⭐ 2K · 💀) - A toolkit for reproducible reinforcement learning research. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/chainer/chainerrl\">ChainerRL</a></b> (🥉25 ·  ⭐ 1.2K · 💀) - ChainerRL is a deep reinforcement learning library built on top of.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/hill-a/stable-baselines\">Stable Baselines</a></b> (🥉24 ·  ⭐ 4.3K · 💀) - A fork of OpenAI Baselines, implementations of.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/pfnet/pfrl\">PFRL</a></b> (🥉23 ·  ⭐ 1.2K · 💀) - PFRL: a PyTorch-based deep reinforcement learning library. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/google-deepmind/trfl\">TRFL</a></b> (🥉22 ·  ⭐ 3.1K · 💀) - TensorFlow Reinforcement Learning. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/IntelLabs/coach\">Coach</a></b> (🥉20 ·  ⭐ 2.3K · 💀) - Reinforcement Learning Coach by Intel AI Lab enables easy.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/SerpentAI/SerpentAI\">SerpentAI</a></b> (🥉19 ·  ⭐ 6.9K · 💀) - Game Agent Framework. Helping you create AIs / Bots that learn to.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/google-deepmind/lab\">DeepMind Lab</a></b> (🥉17 ·  ⭐ 7.3K · 💀) - A customisable 3D platform for agent-based AI research. <code>❗Unlicensed</code>\n- <b><a href=\"https://github.com/enlite-ai/maze\">Maze</a></b> (🥉12 ·  ⭐ 280 · 💀) - Maze Applied Reinforcement Learning Framework. <code><a href=\"https://tldrlegal.com/search?q=Custom\">❗️Custom</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/google-research/rliable\">rliable</a></b> (🥉11 ·  ⭐ 850 · 💀) - [NeurIPS21 Outstanding Paper] Library for reliable evaluation on.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n</details>\n<br>\n\n## Recommender Systems\n\n<a href=\"#contents\"><img align=\"right\" width=\"15\" height=\"15\" src=\"https://git.io/JtehR\" alt=\"Back to top\"></a>\n\n_Libraries for building and evaluating recommendation systems._\n\n<details><summary><b><a href=\"https://github.com/recommenders-team/recommenders\">Recommenders</a></b> (🥇33 ·  ⭐ 21K) - Best Practices on Recommendation Systems. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/recommenders-team/recommenders) (👨‍💻 140 · 🔀 3.2K · 📥 790 · 📦 180 · 📋 890 - 18% open · ⏱️ 13.10.2025):\n\n\t```\n\tgit clone https://github.com/microsoft/recommenders\n\t```\n- [PyPi](https://pypi.org/project/recommenders) (📥 15K / month · 📦 4 · ⏱️ 24.12.2024):\n\t```\n\tpip install recommenders\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/meta-pytorch/torchrec\">torchrec</a></b> (🥇32 ·  ⭐ 2.4K) - Pytorch domain library for recommendation systems. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code></summary>\n\n- [GitHub](https://github.com/meta-pytorch/torchrec) (👨‍💻 400 · 🔀 560 · 📦 240 · 📋 320 - 49% open · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https://github.com/pytorch/torchrec\n\t```\n- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (📥 160 / month · ⏱️ 12.05.2022):\n\t```\n\tpip install torchrec-nightly-cpu\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/PreferredAI/cornac\">Cornac</a></b> (🥈28 ·  ⭐ 1K) - A Comparative Framework for Multimodal Recommender Systems. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/PreferredAI/cornac) (👨‍💻 24 · 🔀 160 · 📦 300 · 📋 170 - 17% open · ⏱️ 04.10.2025):\n\n\t```\n\tgit clone https://github.com/PreferredAI/cornac\n\t```\n- [PyPi](https://pypi.org/project/cornac) (📥 44K / month · 📦 18 · ⏱️ 04.10.2025):\n\t```\n\tpip install cornac\n\t```\n- [Conda](https://anaconda.org/conda-forge/cornac) (📥 920K · ⏱️ 05.10.2025):\n\t```\n\tconda install -c conda-forge cornac\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/lenskit/lkpy\">lkpy</a></b> (🥈28 ·  ⭐ 300) - Python recommendation toolkit. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/lenskit/lkpy) (👨‍💻 41 · 🔀 72 · 📦 140 · 📋 290 - 33% open · ⏱️ 29.10.2025):\n\n\t```\n\tgit clone https://github.com/lenskit/lkpy\n\t```\n- [PyPi](https://pypi.org/project/lenskit) (📥 6.6K / month · 📦 13 · ⏱️ 22.10.2025):\n\t```\n\tpip install lenskit\n\t```\n- [Conda](https://anaconda.org/conda-forge/lenskit) (📥 52K · ⏱️ 23.10.2025):\n\t```\n\tconda install -c conda-forge lenskit\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/RUCAIBox/RecBole\">RecBole</a></b> (🥉25 ·  ⭐ 4.1K · 💤) - A unified, comprehensive and efficient recommendation library. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/RUCAIBox/RecBole) (👨‍💻 79 · 🔀 690 · 📋 1.1K - 32% open · ⏱️ 24.02.2025):\n\n\t```\n\tgit clone https://github.com/RUCAIBox/RecBole\n\t```\n- [PyPi](https://pypi.org/project/recbole) (📥 98K / month · 📦 2 · ⏱️ 24.02.2025):\n\t```\n\tpip install recbole\n\t```\n- [Conda](https://anaconda.org/aibox/recbole) (📥 9.3K · ⏱️ 25.03.2025):\n\t```\n\tconda install -c aibox recbole\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/tensorflow/recommenders\">TF Recommenders</a></b> (🥉25 ·  ⭐ 2K) - TensorFlow Recommenders is a library for building.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/tensorflow/recommenders) (👨‍💻 45 · 🔀 290 · 📋 450 - 59% open · ⏱️ 27.09.2025):\n\n\t```\n\tgit clone https://github.com/tensorflow/recommenders\n\t```\n- [PyPi](https://pypi.org/project/tensorflow-recommenders) (📥 220K / month · 📦 2 · ⏱️ 03.02.2023):\n\t```\n\tpip install tensorflow-recommenders\n\t```\n</details>\n<details><summary>Show 11 hidden projects...</summary>\n\n- <b><a href=\"https://github.com/benfred/implicit\">implicit</a></b> (🥈30 ·  ⭐ 3.7K · 💀) - Fast Python Collaborative Filtering for Implicit Feedback Datasets. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/lyst/lightfm\">lightfm</a></b> (🥈28 ·  ⭐ 5K · 💀) - A Python implementation of LightFM, a hybrid recommendation.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/NicolasHug/Surprise\">scikit-surprise</a></b> (🥈27 ·  ⭐ 6.7K · 💀) - A Python scikit for building and analyzing recommender.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/tensorflow/ranking\">TF Ranking</a></b> (🥉26 ·  ⭐ 2.8K · 💀) - Learning to Rank in TensorFlow. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/ibayer/fastFM\">fastFM</a></b> (🥉22 ·  ⭐ 1.1K · 💀) - fastFM: A Library for Factorization Machines. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/jfkirk/tensorrec\">tensorrec</a></b> (🥉21 ·  ⭐ 1.3K · 💀) - A TensorFlow recommendation algorithm and framework in.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/maciejkula/spotlight\">Spotlight</a></b> (🥉18 ·  ⭐ 3K · 💀) - Deep recommender models using PyTorch. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/statisticianinstilettos/recmetrics\">recmetrics</a></b> (🥉18 ·  ⭐ 580 · 💀) - A library of metrics for evaluating recommender systems. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/caserec/CaseRecommender\">Case Recommender</a></b> (🥉18 ·  ⭐ 500 · 💀) - Case Recommender: A Flexible and Extensible Python.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/ylongqi/openrec\">OpenRec</a></b> (🥉16 ·  ⭐ 420 · 💀) - OpenRec is an open-source and modular library for neural network-.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/ShopRunner/collie\">Collie</a></b> (🥉10 ·  ⭐ 100 · 💀) - A library for preparing, training, and evaluating scalable deep.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n</details>\n<br>\n\n## Privacy Machine Learning\n\n<a href=\"#contents\"><img align=\"right\" width=\"15\" height=\"15\" src=\"https://git.io/JtehR\" alt=\"Back to top\"></a>\n\n_Libraries for encrypted and privacy-preserving machine learning using methods like federated learning & differential privacy._\n\n<details><summary><b><a href=\"https://github.com/meta-pytorch/opacus\">Opacus</a></b> (🥇32 ·  ⭐ 1.9K) - Training PyTorch models with differential privacy. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/meta-pytorch/opacus) (👨‍💻 87 · 🔀 370 · 📥 150 · 📦 1.2K · 📋 340 - 19% open · ⏱️ 27.10.2025):\n\n\t```\n\tgit clone https://github.com/pytorch/opacus\n\t```\n- [PyPi](https://pypi.org/project/opacus) (📥 92K / month · 📦 49 · ⏱️ 27.05.2025):\n\t```\n\tpip install opacus\n\t```\n- [Conda](https://anaconda.org/conda-forge/opacus) (📥 28K · ⏱️ 09.07.2025):\n\t```\n\tconda install -c conda-forge opacus\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/OpenMined/PySyft\">PySyft</a></b> (🥈31 ·  ⭐ 9.8K) - Perform data science on data that remains in someone elses server. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/OpenMined/PySyft) (👨‍💻 520 · 🔀 2K · 📥 2.1K · 📦 1 · 📋 3.4K - 1% open · ⏱️ 13.04.2025):\n\n\t```\n\tgit clone https://github.com/OpenMined/PySyft\n\t```\n- [PyPi](https://pypi.org/project/syft) (📥 32K / month · 📦 5 · ⏱️ 13.04.2025):\n\t```\n\tpip install syft\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/tensorflow/privacy\">TensorFlow Privacy</a></b> (🥈24 ·  ⭐ 2K) - Library for training machine learning models with.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/tensorflow/privacy) (👨‍💻 60 · 🔀 460 · 📥 190 · 📋 210 - 55% open · ⏱️ 13.06.2025):\n\n\t```\n\tgit clone https://github.com/tensorflow/privacy\n\t```\n- [PyPi](https://pypi.org/project/tensorflow-privacy) (📥 18K / month · 📦 21 · ⏱️ 14.02.2024):\n\t```\n\tpip install tensorflow-privacy\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/FederatedAI/FATE\">FATE</a></b> (🥉23 ·  ⭐ 6K · 💤) - An Industrial Grade Federated Learning Framework. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/FederatedAI/FATE) (👨‍💻 100 · 🔀 1.6K · 📦 1 · 📋 2.1K - 2% open · ⏱️ 19.11.2024):\n\n\t```\n\tgit clone https://github.com/FederatedAI/FATE\n\t```\n- [PyPi](https://pypi.org/project/ETAF) (⏱️ 06.05.2020):\n\t```\n\tpip install ETAF\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/facebookresearch/CrypTen\">CrypTen</a></b> (🥉21 ·  ⭐ 1.6K · 💤) - A framework for Privacy Preserving Machine Learning. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/facebookresearch/CrypTen) (👨‍💻 40 · 🔀 290 · 📋 280 - 28% open · ⏱️ 23.11.2024):\n\n\t```\n\tgit clone https://github.com/facebookresearch/CrypTen\n\t```\n- [PyPi](https://pypi.org/project/crypten) (📥 600 / month · 📦 1 · ⏱️ 08.12.2022):\n\t```\n\tpip install crypten\n\t```\n</details>\n<details><summary>Show 2 hidden projects...</summary>\n\n- <b><a href=\"https://github.com/tf-encrypted/tf-encrypted\">TFEncrypted</a></b> (🥈24 ·  ⭐ 1.2K · 💀) - A Framework for Encrypted Machine Learning in.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/OpenMined/PipelineDP\">PipelineDP</a></b> (🥉19 ·  ⭐ 280) - PipelineDP is a Python framework for applying differentially.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n</details>\n<br>\n\n## Workflow & Experiment Tracking\n\n<a href=\"#contents\"><img align=\"right\" width=\"15\" height=\"15\" src=\"https://git.io/JtehR\" alt=\"Back to top\"></a>\n\n_Libraries to organize, track, and visualize machine learning experiments._\n\n<details><summary><b><a href=\"https://github.com/mlflow/mlflow\">mlflow</a></b> (🥇47 ·  ⭐ 23K) - The open source developer platform to build AI/LLM applications and.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/mlflow/mlflow) (👨‍💻 910 · 🔀 4.9K · 📦 66K · 📋 5.2K - 39% open · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https://github.com/mlflow/mlflow\n\t```\n- [PyPi](https://pypi.org/project/mlflow) (📥 26M / month · 📦 1.3K · ⏱️ 22.10.2025):\n\t```\n\tpip install mlflow\n\t```\n- [Conda](https://anaconda.org/conda-forge/mlflow) (📥 3.7M · ⏱️ 24.10.2025):\n\t```\n\tconda install -c conda-forge mlflow\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/wandb/wandb\">wandb client</a></b> (🥇44 ·  ⭐ 10K) - The AI developer platform. Use Weights & Biases to train and fine-.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/wandb/wandb) (👨‍💻 220 · 🔀 790 · 📥 1.2K · 📦 84K · 📋 3.7K - 18% open · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https://github.com/wandb/client\n\t```\n- [PyPi](https://pypi.org/project/wandb) (📥 20M / month · 📦 2.3K · ⏱️ 28.10.2025):\n\t```\n\tpip install wandb\n\t```\n- [Conda](https://anaconda.org/conda-forge/wandb) (📥 1.2M · ⏱️ 30.10.2025):\n\t```\n\tconda install -c conda-forge wandb\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/iterative/dvc\">DVC</a></b> (🥇42 ·  ⭐ 15K) - Data Versioning and ML Experiments. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/iterative/dvc) (👨‍💻 320 · 🔀 1.2K · 📦 24K · 📋 4.9K - 4% open · ⏱️ 28.10.2025):\n\n\t```\n\tgit clone https://github.com/iterative/dvc\n\t```\n- [PyPi](https://pypi.org/project/dvc) (📥 1.5M / month · 📦 140 · ⏱️ 02.09.2025):\n\t```\n\tpip install dvc\n\t```\n- [Conda](https://anaconda.org/conda-forge/dvc) (📥 3.1M · ⏱️ 02.09.2025):\n\t```\n\tconda install -c conda-forge dvc\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/tensorflow/tensorboard\">Tensorboard</a></b> (🥇41 ·  ⭐ 7K) - TensorFlows Visualization Toolkit. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/tensorflow/tensorboard) (👨‍💻 330 · 🔀 1.7K · 📦 330K · 📋 2K - 36% open · ⏱️ 12.08.2025):\n\n\t```\n\tgit clone https://github.com/tensorflow/tensorboard\n\t```\n- [PyPi](https://pypi.org/project/tensorboard) (📥 31M / month · 📦 2.8K · ⏱️ 17.07.2025):\n\t```\n\tpip install tensorboard\n\t```\n- [Conda](https://anaconda.org/conda-forge/tensorboard) (📥 6M · ⏱️ 18.07.2025):\n\t```\n\tconda install -c conda-forge tensorboard\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/aws/sagemaker-python-sdk\">SageMaker SDK</a></b> (🥇41 ·  ⭐ 2.2K) - A library for training and deploying machine learning.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1X\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/aws/sagemaker-python-sdk) (👨‍💻 500 · 🔀 1.2K · 📦 6.2K · 📋 1.6K - 21% open · ⏱️ 29.10.2025):\n\n\t```\n\tgit clone https://github.com/aws/sagemaker-python-sdk\n\t```\n- [PyPi](https://pypi.org/project/sagemaker) (📥 27M / month · 📦 210 · ⏱️ 29.10.2025):\n\t```\n\tpip install sagemaker\n\t```\n- [Conda](https://anaconda.org/conda-forge/sagemaker-python-sdk) (📥 1.8M · ⏱️ 30.10.2025):\n\t```\n\tconda install -c conda-forge sagemaker-python-sdk\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/Netflix/metaflow\">Metaflow</a></b> (🥈37 ·  ⭐ 9.6K) - Build, Manage and Deploy AI/ML Systems. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/Netflix/metaflow) (👨‍💻 120 · 🔀 930 · 📦 950 · 📋 840 - 43% open · ⏱️ 29.10.2025):\n\n\t```\n\tgit clone https://github.com/Netflix/metaflow\n\t```\n- [PyPi](https://pypi.org/project/metaflow) (📥 740K / month · 📦 53 · ⏱️ 29.10.2025):\n\t```\n\tpip install metaflow\n\t```\n- [Conda](https://anaconda.org/conda-forge/metaflow) (📥 340K · ⏱️ 29.10.2025):\n\t```\n\tconda install -c conda-forge metaflow\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/lanpa/tensorboardX\">tensorboardX</a></b> (🥈35 ·  ⭐ 8K) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/lanpa/tensorboardX) (👨‍💻 85 · 🔀 860 · 📥 500 · 📦 60K · 📋 470 - 18% open · ⏱️ 13.06.2025):\n\n\t```\n\tgit clone https://github.com/lanpa/tensorboardX\n\t```\n- [PyPi](https://pypi.org/project/tensorboardX) (📥 4.5M / month · 📦 740 · ⏱️ 10.06.2025):\n\t```\n\tpip install tensorboardX\n\t```\n- [Conda](https://anaconda.org/conda-forge/tensorboardx) (📥 1.3M · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge tensorboardx\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/pycaret/pycaret\">PyCaret</a></b> (🥈34 ·  ⭐ 9.6K · 💤) - An open-source, low-code machine learning library in Python. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/pycaret/pycaret) (👨‍💻 140 · 🔀 1.8K · 📥 730 · 📦 7.9K · 📋 2.3K - 16% open · ⏱️ 06.03.2025):\n\n\t```\n\tgit clone https://github.com/pycaret/pycaret\n\t```\n- [PyPi](https://pypi.org/project/pycaret) (📥 310K / month · 📦 31 · ⏱️ 28.04.2024):\n\t```\n\tpip install pycaret\n\t```\n- [Conda](https://anaconda.org/conda-forge/pycaret) (📥 78K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge pycaret\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/clearml/clearml\">ClearML</a></b> (🥈34 ·  ⭐ 6.3K) - ClearML - Auto-Magical CI/CD to streamline your AI workload... <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/clearml/clearml) (👨‍💻 100 · 🔀 710 · 📥 3.5K · 📦 1.9K · 📋 1.2K - 45% open · ⏱️ 27.10.2025):\n\n\t```\n\tgit clone https://github.com/allegroai/clearml\n\t```\n- [PyPi](https://pypi.org/project/clearml) (📥 500K / month · 📦 78 · ⏱️ 22.10.2025):\n\t```\n\tpip install clearml\n\t```\n- [Docker Hub](https://hub.docker.com/r/allegroai/trains) (📥 31K · ⏱️ 05.10.2020):\n\t```\n\tdocker pull allegroai/trains\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/snakemake/snakemake\">snakemake</a></b> (🥈34 ·  ⭐ 2.6K) - This is the development home of the workflow management system.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/snakemake/snakemake) (👨‍💻 380 · 🔀 610 · 📦 2.5K · 📋 2.1K - 58% open · ⏱️ 29.10.2025):\n\n\t```\n\tgit clone https://github.com/snakemake/snakemake\n\t```\n- [PyPi](https://pypi.org/project/snakemake) (📥 130K / month · 📦 320 · ⏱️ 22.10.2025):\n\t```\n\tpip install snakemake\n\t```\n- [Conda](https://anaconda.org/bioconda/snakemake) (📥 1.5M · ⏱️ 28.10.2025):\n\t```\n\tconda install -c bioconda snakemake\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/Kaggle/kaggle-api\">kaggle</a></b> (🥈33 ·  ⭐ 6.9K) - Official Kaggle API. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/Kaggle/kaggle-api) (👨‍💻 49 · 🔀 1.2K · 📦 21 · 📋 530 - 27% open · ⏱️ 28.10.2025):\n\n\t```\n\tgit clone https://github.com/Kaggle/kaggle-api\n\t```\n- [PyPi](https://pypi.org/project/kaggle) (📥 610K / month · 📦 240 · ⏱️ 08.05.2025):\n\t```\n\tpip install kaggle\n\t```\n- [Conda](https://anaconda.org/conda-forge/kaggle) (📥 250K · ⏱️ 11.08.2025):\n\t```\n\tconda install -c conda-forge kaggle\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/aimhubio/aim\">aim</a></b> (🥈32 ·  ⭐ 5.8K) - Aim An easy-to-use & supercharged open-source experiment tracker. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/aimhubio/aim) (👨‍💻 82 · 🔀 360 · 📦 1.1K · 📋 1.1K - 37% open · ⏱️ 26.06.2025):\n\n\t```\n\tgit clone https://github.com/aimhubio/aim\n\t```\n- [PyPi](https://pypi.org/project/aim) (📥 120K / month · 📦 56 · ⏱️ 11.06.2025):\n\t```\n\tpip install aim\n\t```\n- [Conda](https://anaconda.org/conda-forge/aim) (📥 140K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge aim\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/Azure/MachineLearningNotebooks\">AzureML SDK</a></b> (🥈31 ·  ⭐ 4.3K · 💤) - Python notebooks with ML and deep learning examples with Azure.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/Azure/MachineLearningNotebooks) (👨‍💻 65 · 🔀 2.5K · 📥 680 · 📋 1.5K - 26% open · ⏱️ 14.03.2025):\n\n\t```\n\tgit clone https://github.com/Azure/MachineLearningNotebooks\n\t```\n- [PyPi](https://pypi.org/project/azureml-sdk) (📥 2.2M / month · 📦 31 · ⏱️ 11.04.2025):\n\t```\n\tpip install azureml-sdk\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/PaddlePaddle/VisualDL\">VisualDL</a></b> (🥈29 ·  ⭐ 4.9K · 💤) - Deep Learning Visualization Toolkit. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1M\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/PaddlePaddle/VisualDL) (👨‍💻 36 · 🔀 630 · 📥 540 · 📦 3.6K · 📋 510 - 30% open · ⏱️ 22.01.2025):\n\n\t```\n\tgit clone https://github.com/PaddlePaddle/VisualDL\n\t```\n- [PyPi](https://pypi.org/project/visualdl) (📥 170K / month · 📦 82 · ⏱️ 30.10.2024):\n\t```\n\tpip install visualdl\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/IDSIA/sacred\">sacred</a></b> (🥈29 ·  ⭐ 4.3K) - Sacred is a tool to help you configure, organize, log and reproduce.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/IDSIA/sacred) (👨‍💻 110 · 🔀 390 · 📦 3.6K · 📋 560 - 18% open · ⏱️ 22.10.2025):\n\n\t```\n\tgit clone https://github.com/IDSIA/sacred\n\t```\n- [PyPi](https://pypi.org/project/sacred) (📥 48K / month · 📦 60 · ⏱️ 26.11.2024):\n\t```\n\tpip install sacred\n\t```\n- [Conda](https://anaconda.org/conda-forge/sacred) (📥 9.9K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge sacred\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/neptune-ai/neptune-client\">Neptune.ai</a></b> (🥈29 ·  ⭐ 620) - The experiment tracker for foundation model training. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/neptune-ai/neptune-client) (👨‍💻 57 · 🔀 66 · 📦 920 · 📋 260 - 12% open · ⏱️ 09.06.2025):\n\n\t```\n\tgit clone https://github.com/neptune-ai/neptune-client\n\t```\n- [PyPi](https://pypi.org/project/neptune-client) (📥 480K / month · 📦 77 · ⏱️ 15.04.2025):\n\t```\n\tpip install neptune-client\n\t```\n- [Conda](https://anaconda.org/conda-forge/neptune-client) (📥 390K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge neptune-client\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/meta-pytorch/tnt\">TNT</a></b> (🥉28 ·  ⭐ 1.7K) - A lightweight library for PyTorch training tools and utilities. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/meta-pytorch/tnt) (👨‍💻 150 · 🔀 290 · 📋 150 - 56% open · ⏱️ 09.10.2025):\n\n\t```\n\tgit clone https://github.com/pytorch/tnt\n\t```\n- [PyPi](https://pypi.org/project/torchnet) (📥 9.4K / month · 📦 24 · ⏱️ 29.07.2018):\n\t```\n\tpip install torchnet\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/stared/livelossplot\">livelossplot</a></b> (🥉25 ·  ⭐ 1.3K · 💤) - Live training loss plot in Jupyter Notebook for Keras,.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/stared/livelossplot) (👨‍💻 17 · 🔀 140 · 📦 1.9K · 📋 79 - 7% open · ⏱️ 03.01.2025):\n\n\t```\n\tgit clone https://github.com/stared/livelossplot\n\t```\n- [PyPi](https://pypi.org/project/livelossplot) (📥 19K / month · 📦 16 · ⏱️ 03.01.2025):\n\t```\n\tpip install livelossplot\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/google/ml-metadata\">ml-metadata</a></b> (🥉25 ·  ⭐ 660) - For recording and retrieving metadata associated with ML.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/google/ml-metadata) (👨‍💻 23 · 🔀 170 · 📥 3K · 📦 720 · 📋 130 - 41% open · ⏱️ 03.04.2025):\n\n\t```\n\tgit clone https://github.com/google/ml-metadata\n\t```\n- [PyPi](https://pypi.org/project/ml-metadata) (📥 50K / month · 📦 32 · ⏱️ 07.04.2025):\n\t```\n\tpip install ml-metadata\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/labmlai/labml\">Labml</a></b> (🥉24 ·  ⭐ 2.3K) - Monitor deep learning model training and hardware usage from your mobile.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/labmlai/labml) (👨‍💻 9 · 🔀 140 · 📦 240 · 📋 50 - 12% open · ⏱️ 10.04.2025):\n\n\t```\n\tgit clone https://github.com/labmlai/labml\n\t```\n- [PyPi](https://pypi.org/project/labml) (📥 4.6K / month · 📦 14 · ⏱️ 15.09.2024):\n\t```\n\tpip install labml\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/mrpowers-io/quinn\">quinn</a></b> (🥉24 ·  ⭐ 680 · 💤) - pyspark methods to enhance developer productivity. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1N\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/mrpowers-io/quinn) (👨‍💻 31 · 🔀 98 · 📥 69 · 📦 94 · 📋 130 - 27% open · ⏱️ 06.12.2024):\n\n\t```\n\tgit clone https://github.com/MrPowers/quinn\n\t```\n- [PyPi](https://pypi.org/project/quinn) (📥 750K / month · 📦 7 · ⏱️ 13.02.2024):\n\t```\n\tpip install quinn\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/m3dev/gokart\">gokart</a></b> (🥉24 ·  ⭐ 330) - Gokart solves reproducibility, task dependencies, constraints of good code,.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/m3dev/gokart) (👨‍💻 48 · 🔀 63 · 📦 85 · 📋 100 - 31% open · ⏱️ 18.06.2025):\n\n\t```\n\tgit clone https://github.com/m3dev/gokart\n\t```\n- [PyPi](https://pypi.org/project/gokart) (📥 6.7K / month · 📦 8 · ⏱️ 18.06.2025):\n\t```\n\tpip install gokart\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/guildai/guildai\">Guild AI</a></b> (🥉23 ·  ⭐ 890) - Experiment tracking, ML developer tools. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/guildai/guildai) (👨‍💻 30 · 🔀 90 · 📥 32 · 📦 110 · 📋 440 - 50% open · ⏱️ 29.04.2025):\n\n\t```\n\tgit clone https://github.com/guildai/guildai\n\t```\n- [PyPi](https://pypi.org/project/guildai) (📥 1.7K / month · ⏱️ 11.05.2022):\n\t```\n\tpip install guildai\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/microsoft/tensorwatch\">TensorWatch</a></b> (🥉22 ·  ⭐ 3.5K) - Debugging, monitoring and visualization for Python Machine Learning.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/microsoft/tensorwatch) (👨‍💻 15 · 🔀 360 · 📦 160 · 📋 70 - 75% open · ⏱️ 27.09.2025):\n\n\t```\n\tgit clone https://github.com/microsoft/tensorwatch\n\t```\n- [PyPi](https://pypi.org/project/tensorwatch) (📥 1.4K / month · 📦 7 · ⏱️ 04.03.2020):\n\t```\n\tpip install tensorwatch\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/replicate/keepsake\">keepsake</a></b> (🥉18 ·  ⭐ 1.7K · 💤) - Version control for machine learning. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/replicate/keepsake) (👨‍💻 18 · 🔀 71 · 📋 190 - 65% open · ⏱️ 03.12.2024):\n\n\t```\n\tgit clone https://github.com/replicate/keepsake\n\t```\n- [PyPi](https://pypi.org/project/keepsake) (📥 880 / month · 📦 1 · ⏱️ 25.01.2021):\n\t```\n\tpip install keepsake\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/datmo/datmo\">datmo</a></b> (🥉17 ·  ⭐ 340) - Open source production model management tool for data scientists. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/datmo/datmo) (👨‍💻 6 · 🔀 30 · 📦 7 · 📋 180 - 17% open · ⏱️ 23.06.2025):\n\n\t```\n\tgit clone https://github.com/datmo/datmo\n\t```\n- [PyPi](https://pypi.org/project/datmo) (📥 130 / month · ⏱️ 07.12.2018):\n\t```\n\tpip install datmo\n\t```\n</details>\n<details><summary><b><a href=\"https://www.comet.com\">CometML</a></b> (🥉16) - Supercharging Machine Learning. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub]():\n\n\t```\n\tgit clone https://github.com/comet-ml/examples\n\t```\n- [PyPi](https://pypi.org/project/comet_ml) (📥 570K / month · 📦 100 · ⏱️ 29.10.2025):\n\t```\n\tpip install comet_ml\n\t```\n- [Conda](https://anaconda.org/anaconda/comet_ml):\n\t```\n\tconda install -c anaconda comet_ml\n\t```\n</details>\n<details><summary>Show 13 hidden projects...</summary>\n\n- <b><a href=\"https://github.com/catalyst-team/catalyst\">Catalyst</a></b> (🥉28 ·  ⭐ 3.4K · 💀) - Accelerated deep learning R&D. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/huggingface/knockknock\">knockknock</a></b> (🥉25 ·  ⭐ 2.8K · 💀) - Knock Knock: Get notified when your training ends with only two.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/waleedka/hiddenlayer\">hiddenlayer</a></b> (🥉22 ·  ⭐ 1.9K · 💀) - Neural network graphs and training metrics for.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/EducationalTestingService/skll\">SKLL</a></b> (🥉22 ·  ⭐ 560 · 💤) - SciKit-Learn Laboratory (SKLL) makes it easy to run machine.. <code>❗Unlicensed</code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/TeamHG-Memex/tensorboard_logger\">TensorBoard Logger</a></b> (🥉21 ·  ⭐ 630 · 💀) - Log TensorBoard events without touching TensorFlow. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/studioml/studio\">Studio.ml</a></b> (🥉21 ·  ⭐ 380 · 💀) - Studio: Simplify and expedite model building process. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/instacart/lore\">lore</a></b> (🥉20 ·  ⭐ 1.5K · 💀) - Lore makes machine learning approachable for Software Engineers and.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/aniketmaurya/chitra\">chitra</a></b> (🥉17 ·  ⭐ 230) - A multi-functional library for full-stack Deep Learning. Simplifies.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/minerva-ml/steppy\">steppy</a></b> (🥉17 ·  ⭐ 140 · 💀) - Lightweight, Python library for fast and reproducible experimentation. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/awslabs/mxboard\">MXBoard</a></b> (🥉16 ·  ⭐ 320 · 💀) - Logging MXNet data for visualization in TensorBoard. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1X\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/google/caliban\">caliban</a></b> (🥉15 ·  ⭐ 500 · 💀) - Research workflows made easy, locally and in the Cloud. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/ModelChimp/modelchimp\">ModelChimp</a></b> (🥉12 ·  ⭐ 130 · 💀) - Experiment tracking for machine and deep learning projects. <code><a href=\"http://bit.ly/3rqEWVr\">BSD-2</a></code>\n- <b><a href=\"https://github.com/jrieke/traintool\">traintool</a></b> (🥉8 ·  ⭐ 12 · 💀) - Train off-the-shelf machine learning models in one.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n</details>\n<br>\n\n## Model Serialization & Deployment\n\n<a href=\"#contents\"><img align=\"right\" width=\"15\" height=\"15\" src=\"https://git.io/JtehR\" alt=\"Back to top\"></a>\n\n_Libraries to serialize models to files, convert between a variety of model formats, and optimize models for deployment._\n\n<details><summary><b><a href=\"https://github.com/triton-lang/triton\">triton</a></b> (🥇45 ·  ⭐ 17K) - Development repository for the Triton language and compiler. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/triton-lang/triton) (👨‍💻 480 · 🔀 2.3K · 📥 1.4K · 📦 74K · 📋 2K - 41% open · ⏱️ 29.10.2025):\n\n\t```\n\tgit clone https://github.com/openai/triton\n\t```\n- [PyPi](https://pypi.org/project/triton) (📥 41M / month · 📦 540 · ⏱️ 13.10.2025):\n\t```\n\tpip install triton\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/onnx/onnx\">onnx</a></b> (🥇43 ·  ⭐ 20K) - Open standard for machine learning interoperability. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/onnx/onnx) (👨‍💻 360 · 🔀 3.8K · 📥 25K · 📦 49K · 📋 3.1K - 9% open · ⏱️ 29.10.2025):\n\n\t```\n\tgit clone https://github.com/onnx/onnx\n\t```\n- [PyPi](https://pypi.org/project/onnx) (📥 13M / month · 📦 1.6K · ⏱️ 10.10.2025):\n\t```\n\tpip install onnx\n\t```\n- [Conda](https://anaconda.org/conda-forge/onnx) (📥 2.1M · ⏱️ 11.10.2025):\n\t```\n\tconda install -c conda-forge onnx\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/huggingface/huggingface_hub\">huggingface_hub</a></b> (🥈40 ·  ⭐ 3K) - The official Python client for the Hugging Face Hub. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/huggingface/huggingface_hub) (👨‍💻 280 · 🔀 830 · 📋 1.3K - 11% open · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https://github.com/huggingface/huggingface_hub\n\t```\n- [PyPi](https://pypi.org/project/huggingface_hub) (📥 120M / month · 📦 4.1K · ⏱️ 28.10.2025):\n\t```\n\tpip install huggingface_hub\n\t```\n- [Conda](https://anaconda.org/conda-forge/huggingface_hub) (📥 4.2M · ⏱️ 28.10.2025):\n\t```\n\tconda install -c conda-forge huggingface_hub\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/bentoml/BentoML\">BentoML</a></b> (🥈36 ·  ⭐ 8.2K) - The easiest way to serve AI apps and models - Build Model Inference.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/bentoml/BentoML) (👨‍💻 260 · 🔀 880 · 📥 95 · 📦 2.8K · 📋 1.1K - 11% open · ⏱️ 29.10.2025):\n\n\t```\n\tgit clone https://github.com/bentoml/BentoML\n\t```\n- [PyPi](https://pypi.org/project/bentoml) (📥 180K / month · 📦 44 · ⏱️ 29.10.2025):\n\t```\n\tpip install bentoml\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/apple/coremltools\">Core ML Tools</a></b> (🥈35 ·  ⭐ 5K) - Core ML tools contain supporting tools for Core ML model.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code></summary>\n\n- [GitHub](https://github.com/apple/coremltools) (👨‍💻 200 · 🔀 710 · 📥 15K · 📦 5.1K · 📋 1.6K - 26% open · ⏱️ 22.09.2025):\n\n\t```\n\tgit clone https://github.com/apple/coremltools\n\t```\n- [PyPi](https://pypi.org/project/coremltools) (📥 1.1M / month · 📦 110 · ⏱️ 28.07.2025):\n\t```\n\tpip install coremltools\n\t```\n- [Conda](https://anaconda.org/conda-forge/coremltools) (📥 110K · ⏱️ 02.10.2025):\n\t```\n\tconda install -c conda-forge coremltools\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/pytorch/serve\">TorchServe</a></b> (🥈33 ·  ⭐ 4.4K · 💤) - Serve, optimize and scale PyTorch models in production. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/pytorch/serve) (👨‍💻 220 · 🔀 890 · 📥 8K · 📦 900 · 📋 1.7K - 25% open · ⏱️ 17.03.2025):\n\n\t```\n\tgit clone https://github.com/pytorch/serve\n\t```\n- [PyPi](https://pypi.org/project/torchserve) (📥 97K / month · 📦 26 · ⏱️ 30.09.2024):\n\t```\n\tpip install torchserve\n\t```\n- [Conda](https://anaconda.org/pytorch/torchserve) (📥 570K · ⏱️ 25.03.2025):\n\t```\n\tconda install -c pytorch torchserve\n\t```\n- [Docker Hub](https://hub.docker.com/r/pytorch/torchserve) (📥 1.5M · ⭐ 32 · ⏱️ 30.09.2024):\n\t```\n\tdocker pull pytorch/torchserve\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/fastmachinelearning/hls4ml\">hls4ml</a></b> (🥈28 ·  ⭐ 1.7K) - Machine learning on FPGAs using HLS. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/fastmachinelearning/hls4ml) (👨‍💻 82 · 🔀 440 · 📦 51 · 📋 480 - 41% open · ⏱️ 20.10.2025):\n\n\t```\n\tgit clone https://github.com/fastmachinelearning/hls4ml\n\t```\n- [PyPi](https://pypi.org/project/hls4ml) (📥 1.7K / month · 📦 1 · ⏱️ 17.03.2025):\n\t```\n\tpip install hls4ml\n\t```\n- [Conda](https://anaconda.org/conda-forge/hls4ml) (📥 12K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge hls4ml\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/microsoft/MMdnn\">mmdnn</a></b> (🥈25 ·  ⭐ 5.8K) - MMdnn is a set of tools to help users inter-operate among different deep.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/microsoft/MMdnn) (👨‍💻 86 · 🔀 960 · 📥 4K · 📦 160 · 📋 630 - 53% open · ⏱️ 07.08.2025):\n\n\t```\n\tgit clone https://github.com/Microsoft/MMdnn\n\t```\n- [PyPi](https://pypi.org/project/mmdnn) (📥 320 / month · ⏱️ 24.07.2020):\n\t```\n\tpip install mmdnn\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/microsoft/hummingbird\">Hummingbird</a></b> (🥉24 ·  ⭐ 3.5K) - Hummingbird compiles trained ML models into tensor computation for.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/microsoft/hummingbird) (👨‍💻 40 · 🔀 290 · 📥 930 · 📋 330 - 21% open · ⏱️ 17.07.2025):\n\n\t```\n\tgit clone https://github.com/microsoft/hummingbird\n\t```\n- [PyPi](https://pypi.org/project/hummingbird-ml) (📥 7.6K / month · 📦 7 · ⏱️ 25.10.2024):\n\t```\n\tpip install hummingbird-ml\n\t```\n- [Conda](https://anaconda.org/conda-forge/hummingbird-ml) (📥 64K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge hummingbird-ml\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/riga/tfdeploy\">tfdeploy</a></b> (🥉15 ·  ⭐ 360 · 💤) - Deploy tensorflow graphs for fast evaluation and export to.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/riga/tfdeploy) (👨‍💻 4 · 🔀 38 · 📋 34 - 32% open · ⏱️ 04.01.2025):\n\n\t```\n\tgit clone https://github.com/riga/tfdeploy\n\t```\n- [PyPi](https://pypi.org/project/tfdeploy) (📥 100 / month · ⏱️ 30.03.2017):\n\t```\n\tpip install tfdeploy\n\t```\n</details>\n<details><summary>Show 10 hidden projects...</summary>\n\n- <b><a href=\"https://github.com/BayesWitnesses/m2cgen\">m2cgen</a></b> (🥈25 ·  ⭐ 2.9K · 💀) - Transform ML models into a native code (Java, C, Python, Go,.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/nok/sklearn-porter\">sklearn-porter</a></b> (🥉23 ·  ⭐ 1.3K · 💀) - Transpile trained scikit-learn estimators to C, Java,.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/cortexlabs/cortex\">cortex</a></b> (🥉22 ·  ⭐ 8K · 💀) - Production infrastructure for machine learning at scale. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/nebuly-ai/optimate\">nebullvm</a></b> (🥉21 ·  ⭐ 8.4K · 💀) - A collection of libraries to optimise AI model performances. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/larq/compute-engine\">Larq Compute Engine</a></b> (🥉20 ·  ⭐ 250) - Highly optimized inference engine for Binarized.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/gmalivenko/pytorch2keras\">pytorch2keras</a></b> (🥉19 ·  ⭐ 860 · 💀) - PyTorch to Keras model convertor. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/cog-imperial/OMLT\">OMLT</a></b> (🥉19 ·  ⭐ 340) - Represent trained machine learning models as Pyomo optimization.. <code>❗Unlicensed</code>\n- <b><a href=\"https://github.com/Cornerstone-OnDemand/modelkit\">modelkit</a></b> (🥉17 ·  ⭐ 150 · 💀) - Toolkit for developing and maintaining ML models. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/backprop-ai/backprop\">backprop</a></b> (🥉14 ·  ⭐ 240 · 💀) - Backprop makes it simple to use, finetune, and deploy state-of-.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/apple/ml-ane-transformers\">ml-ane-transformers</a></b> (🥉13 ·  ⭐ 2.7K · 💀) - Reference implementation of the Transformer.. <code>❗Unlicensed</code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n</details>\n<br>\n\n## Model Interpretability\n\n<a href=\"#contents\"><img align=\"right\" width=\"15\" height=\"15\" src=\"https://git.io/JtehR\" alt=\"Back to top\"></a>\n\n_Libraries to visualize, explain, debug, evaluate, and interpret machine learning models._\n\n<details><summary><b><a href=\"https://github.com/shap/shap\">shap</a></b> (🥇42 ·  ⭐ 25K) - A game theoretic approach to explain the output of any machine learning model. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/shap/shap) (👨‍💻 280 · 🔀 3.4K · 📦 36K · 📋 2.7K - 23% open · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https://github.com/slundberg/shap\n\t```\n- [PyPi](https://pypi.org/project/shap) (📥 9.5M / month · 📦 1.2K · ⏱️ 14.10.2025):\n\t```\n\tpip install shap\n\t```\n- [Conda](https://anaconda.org/conda-forge/shap) (📥 7.5M · ⏱️ 17.06.2025):\n\t```\n\tconda install -c conda-forge shap\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/arviz-devs/arviz\">arviz</a></b> (🥇37 ·  ⭐ 1.7K) - Exploratory analysis of Bayesian models with Python. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/arviz-devs/arviz) (👨‍💻 180 · 🔀 460 · 📥 190 · 📦 11K · 📋 900 - 19% open · ⏱️ 22.10.2025):\n\n\t```\n\tgit clone https://github.com/arviz-devs/arviz\n\t```\n- [PyPi](https://pypi.org/project/arviz) (📥 3.7M / month · 📦 410 · ⏱️ 09.07.2025):\n\t```\n\tpip install arviz\n\t```\n- [Conda](https://anaconda.org/conda-forge/arviz) (📥 2.5M · ⏱️ 10.07.2025):\n\t```\n\tconda install -c conda-forge arviz\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/lutzroeder/netron\">Netron</a></b> (🥇36 ·  ⭐ 32K) - Visualizer for neural network, deep learning and machine learning.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/lutzroeder/netron) (👨‍💻 2 · 🔀 3K · 📥 160K · 📦 13 · 📋 1.2K - 1% open · ⏱️ 29.10.2025):\n\n\t```\n\tgit clone https://github.com/lutzroeder/netron\n\t```\n- [PyPi](https://pypi.org/project/netron) (📥 43K / month · 📦 92 · ⏱️ 23.10.2025):\n\t```\n\tpip install netron\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/huggingface/evaluate\">evaluate</a></b> (🥇34 ·  ⭐ 2.4K) - Evaluate: A library for easily evaluating machine learning models.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/huggingface/evaluate) (👨‍💻 130 · 🔀 290 · 📦 24K · 📋 390 - 62% open · ⏱️ 25.09.2025):\n\n\t```\n\tgit clone https://github.com/huggingface/evaluate\n\t```\n- [PyPi](https://pypi.org/project/evaluate) (📥 3.6M / month · 📦 660 · ⏱️ 18.09.2025):\n\t```\n\tpip install evaluate\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/interpretml/interpret\">InterpretML</a></b> (🥇33 ·  ⭐ 6.7K) - Fit interpretable models. Explain blackbox machine learning. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/interpretml/interpret) (👨‍💻 53 · 🔀 770 · 📦 930 · 📋 490 - 22% open · ⏱️ 24.10.2025):\n\n\t```\n\tgit clone https://github.com/interpretml/interpret\n\t```\n- [PyPi](https://pypi.org/project/interpret) (📥 230K / month · 📦 58 · ⏱️ 14.10.2025):\n\t```\n\tpip install interpret\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/meta-pytorch/captum\">Captum</a></b> (🥇33 ·  ⭐ 5.4K) - Model interpretability and understanding for PyTorch. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/meta-pytorch/captum) (👨‍💻 140 · 🔀 540 · 📦 3.5K · 📋 610 - 41% open · ⏱️ 23.10.2025):\n\n\t```\n\tgit clone https://github.com/pytorch/captum\n\t```\n- [PyPi](https://pypi.org/project/captum) (📥 330K / month · 📦 170 · ⏱️ 27.03.2025):\n\t```\n\tpip install captum\n\t```\n- [Conda](https://anaconda.org/conda-forge/captum) (📥 130K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge captum\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/py-why/dowhy\">DoWhy</a></b> (🥈30 ·  ⭐ 7.8K) - DoWhy is a Python library for causal inference that supports explicit.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/py-why/dowhy) (👨‍💻 100 · 🔀 980 · 📥 43 · 📦 660 · 📋 510 - 27% open · ⏱️ 28.10.2025):\n\n\t```\n\tgit clone https://github.com/py-why/dowhy\n\t```\n- [PyPi](https://pypi.org/project/dowhy) (📥 83K / month · 📦 28 · ⏱️ 12.07.2025):\n\t```\n\tpip install dowhy\n\t```\n- [Conda](https://anaconda.org/conda-forge/dowhy) (📥 51K · ⏱️ 13.07.2025):\n\t```\n\tconda install -c conda-forge dowhy\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/MAIF/shapash\">shapash</a></b> (🥈30 ·  ⭐ 3K) - Shapash: User-friendly Explainability and Interpretability to.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/MAIF/shapash) (👨‍💻 43 · 🔀 350 · 📦 200 · 📋 240 - 16% open · ⏱️ 03.10.2025):\n\n\t```\n\tgit clone https://github.com/MAIF/shapash\n\t```\n- [PyPi](https://pypi.org/project/shapash) (📥 7.5K / month · 📦 4 · ⏱️ 24.07.2025):\n\t```\n\tpip install shapash\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/oegedijk/explainerdashboard\">explainerdashboard</a></b> (🥈30 ·  ⭐ 2.5K) - Quickly build Explainable AI dashboards that show the inner.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/oegedijk/explainerdashboard) (👨‍💻 23 · 🔀 340 · 📦 650 · 📋 240 - 16% open · ⏱️ 01.08.2025):\n\n\t```\n\tgit clone https://github.com/oegedijk/explainerdashboard\n\t```\n- [PyPi](https://pypi.org/project/explainerdashboard) (📥 42K / month · 📦 15 · ⏱️ 03.06.2025):\n\t```\n\tpip install explainerdashboard\n\t```\n- [Conda](https://anaconda.org/conda-forge/explainerdashboard) (📥 75K · ⏱️ 04.06.2025):\n\t```\n\tconda install -c conda-forge explainerdashboard\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/fairlearn/fairlearn\">fairlearn</a></b> (🥈30 ·  ⭐ 2.1K) - A Python package to assess and improve fairness of machine.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/fairlearn/fairlearn) (👨‍💻 100 · 🔀 470 · 📦 3 · 📋 520 - 24% open · ⏱️ 27.10.2025):\n\n\t```\n\tgit clone https://github.com/fairlearn/fairlearn\n\t```\n- [PyPi](https://pypi.org/project/fairlearn) (📥 160K / month · 📦 80 · ⏱️ 19.10.2025):\n\t```\n\tpip install fairlearn\n\t```\n- [Conda](https://anaconda.org/conda-forge/fairlearn) (📥 55K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge fairlearn\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/parrt/dtreeviz\">dtreeviz</a></b> (🥈28 ·  ⭐ 3.1K · 💤) - A python library for decision tree visualization and model.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/parrt/dtreeviz) (👨‍💻 27 · 🔀 340 · 📦 1.6K · 📋 210 - 35% open · ⏱️ 06.03.2025):\n\n\t```\n\tgit clone https://github.com/parrt/dtreeviz\n\t```\n- [PyPi](https://pypi.org/project/dtreeviz) (📥 110K / month · 📦 53 · ⏱️ 07.07.2022):\n\t```\n\tpip install dtreeviz\n\t```\n- [Conda](https://anaconda.org/conda-forge/dtreeviz) (📥 120K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge dtreeviz\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/tensorflow/model-analysis\">Model Analysis</a></b> (🥈27 ·  ⭐ 1.3K) - Model analysis tools for TensorFlow. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/tensorflow/model-analysis) (👨‍💻 61 · 🔀 280 · 📋 97 - 39% open · ⏱️ 06.08.2025):\n\n\t```\n\tgit clone https://github.com/tensorflow/model-analysis\n\t```\n- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (📥 200K / month · 📦 20 · ⏱️ 23.06.2025):\n\t```\n\tpip install tensorflow-model-analysis\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/Trusted-AI/AIF360\">Fairness 360</a></b> (🥈26 ·  ⭐ 2.7K) - A comprehensive set of fairness metrics for datasets and.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/Trusted-AI/AIF360) (👨‍💻 73 · 🔀 870 · 📦 740 · 📋 300 - 65% open · ⏱️ 16.10.2025):\n\n\t```\n\tgit clone https://github.com/Trusted-AI/AIF360\n\t```\n- [PyPi](https://pypi.org/project/aif360) (📥 29K / month · 📦 32 · ⏱️ 08.04.2024):\n\t```\n\tpip install aif360\n\t```\n- [Conda](https://anaconda.org/conda-forge/aif360) (📥 29K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge aif360\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/csinva/imodels\">imodels</a></b> (🥈26 ·  ⭐ 1.5K) - Interpretable ML package for concise, transparent, and accurate.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/csinva/imodels) (👨‍💻 27 · 🔀 130 · 📦 130 · 📋 98 - 38% open · ⏱️ 26.08.2025):\n\n\t```\n\tgit clone https://github.com/csinva/imodels\n\t```\n- [PyPi](https://pypi.org/project/imodels) (📥 30K / month · 📦 12 · ⏱️ 26.08.2025):\n\t```\n\tpip install imodels\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/PAIR-code/lit\">LIT</a></b> (🥉25 ·  ⭐ 3.6K · 💤) - The Learning Interpretability Tool: Interactively analyze ML models.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/PAIR-code/lit) (👨‍💻 38 · 🔀 360 · 📋 210 - 57% open · ⏱️ 20.12.2024):\n\n\t```\n\tgit clone https://github.com/PAIR-code/lit\n\t```\n- [PyPi](https://pypi.org/project/lit-nlp) (📥 11K / month · 📦 3 · ⏱️ 20.12.2024):\n\t```\n\tpip install lit-nlp\n\t```\n- [Conda](https://anaconda.org/conda-forge/lit-nlp) (📥 130K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge lit-nlp\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/microsoft/responsible-ai-toolbox\">responsible-ai-widgets</a></b> (🥉25 ·  ⭐ 1.6K · 💤) - Responsible AI Toolbox is a suite of tools providing.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/microsoft/responsible-ai-toolbox) (👨‍💻 43 · 🔀 430 · 📋 330 - 28% open · ⏱️ 07.02.2025):\n\n\t```\n\tgit clone https://github.com/microsoft/responsible-ai-toolbox\n\t```\n- [PyPi](https://pypi.org/project/raiwidgets) (📥 10K / month · 📦 6 · ⏱️ 08.07.2024):\n\t```\n\tpip install raiwidgets\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/dssg/aequitas\">aequitas</a></b> (🥉25 ·  ⭐ 730 · 💤) - Bias Auditing & Fair ML Toolkit. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/dssg/aequitas) (👨‍💻 23 · 🔀 120 · 📦 200 · 📋 99 - 51% open · ⏱️ 25.03.2025):\n\n\t```\n\tgit clone https://github.com/dssg/aequitas\n\t```\n- [PyPi](https://pypi.org/project/aequitas) (📥 19K / month · 📦 8 · ⏱️ 30.01.2024):\n\t```\n\tpip install aequitas\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/Trusted-AI/AIX360\">Explainability 360</a></b> (🥉24 ·  ⭐ 1.7K · 💤) - Interpretability and explainability of data and.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/Trusted-AI/AIX360) (👨‍💻 41 · 🔀 310 · 📦 170 · 📋 86 - 62% open · ⏱️ 26.02.2025):\n\n\t```\n\tgit clone https://github.com/Trusted-AI/AIX360\n\t```\n- [PyPi](https://pypi.org/project/aix360) (📥 1.8K / month · 📦 1 · ⏱️ 31.07.2023):\n\t```\n\tpip install aix360\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/philipperemy/keract\">keract</a></b> (🥉24 ·  ⭐ 1.1K) - Layers Outputs and Gradients in Keras. Made easy. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/philipperemy/keract) (👨‍💻 17 · 🔀 190 · 📦 260 · 📋 89 - 3% open · ⏱️ 07.04.2025):\n\n\t```\n\tgit clone https://github.com/philipperemy/keract\n\t```\n- [PyPi](https://pypi.org/project/keract) (📥 8.8K / month · 📦 7 · ⏱️ 07.04.2025):\n\t```\n\tpip install keract\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/interpretml/DiCE\">DiCE</a></b> (🥉23 ·  ⭐ 1.5K) - Generate Diverse Counterfactual Explanations for any machine.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/interpretml/DiCE) (👨‍💻 23 · 🔀 210 · 📋 190 - 49% open · ⏱️ 13.07.2025):\n\n\t```\n\tgit clone https://github.com/interpretml/DiCE\n\t```\n- [PyPi](https://pypi.org/project/dice-ml) (📥 48K / month · 📦 13 · ⏱️ 13.07.2025):\n\t```\n\tpip install dice-ml\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/aerdem4/lofo-importance\">LOFO</a></b> (🥉19 ·  ⭐ 840 · 💤) - Leave One Feature Out Importance. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/aerdem4/lofo-importance) (👨‍💻 6 · 🔀 87 · 📦 42 · 📋 30 - 13% open · ⏱️ 14.02.2025):\n\n\t```\n\tgit clone https://github.com/aerdem4/lofo-importance\n\t```\n- [PyPi](https://pypi.org/project/lofo-importance) (📥 1.5K / month · 📦 5 · ⏱️ 14.02.2025):\n\t```\n\tpip install lofo-importance\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/parrt/random-forest-importances\">random-forest-importances</a></b> (🥉19 ·  ⭐ 620 · 💤) - Code to compute permutation and drop-column.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/parrt/random-forest-importances) (👨‍💻 16 · 🔀 130 · 📋 39 - 20% open · ⏱️ 24.03.2025):\n\n\t```\n\tgit clone https://github.com/parrt/random-forest-importances\n\t```\n- [PyPi](https://pypi.org/project/rfpimp) (📥 16K / month · 📦 5 · ⏱️ 28.01.2021):\n\t```\n\tpip install rfpimp\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/tensorflow/fairness-indicators\">fairness-indicators</a></b> (🥉18 ·  ⭐ 360) - Tensorflows Fairness Evaluation and Visualization.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/tensorflow/fairness-indicators) (👨‍💻 39 · 🔀 86 · 📋 45 - 77% open · ⏱️ 04.08.2025):\n\n\t```\n\tgit clone https://github.com/tensorflow/fairness-indicators\n\t```\n- [PyPi](https://pypi.org/project/fairness-indicators) (📥 1.1K / month · ⏱️ 25.06.2025):\n\t```\n\tpip install fairness-indicators\n\t```\n</details>\n<details><summary>Show 32 hidden projects...</summary>\n\n- <b><a href=\"https://github.com/marcotcr/lime\">Lime</a></b> (🥈32 ·  ⭐ 12K · 💀) - Lime: Explaining the predictions of any machine learning classifier. <code><a href=\"http://bit.ly/3rqEWVr\">BSD-2</a></code>\n- <b><a href=\"https://github.com/bmabey/pyLDAvis\">pyLDAvis</a></b> (🥈29 ·  ⭐ 1.8K · 💀) - Python library for interactive topic model visualization... <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/DistrictDataLabs/yellowbrick\">yellowbrick</a></b> (🥈27 ·  ⭐ 4.4K · 💀) - Visual analysis and diagnostic tools to facilitate.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/deepchecks/deepchecks\">Deep Checks</a></b> (🥈27 ·  ⭐ 3.9K) - Deepchecks: Tests for Continuous Validation of ML Models &.. <code><a href=\"http://bit.ly/3pwmjO5\">❗️AGPL-3.0</a></code>\n- <b><a href=\"https://github.com/SeldonIO/alibi\">Alibi</a></b> (🥈27 ·  ⭐ 2.6K) - Algorithms for explaining machine learning models. <code><a href=\"https://tldrlegal.com/search?q=Intel\">❗️Intel</a></code>\n- <b><a href=\"https://github.com/reiinakano/scikit-plot\">scikit-plot</a></b> (🥈27 ·  ⭐ 2.4K · 💀) - An intuitive library to add plotting functionality to.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/ModelOriented/DALEX\">DALEX</a></b> (🥈27 ·  ⭐ 1.4K) - moDel Agnostic Language for Exploration and eXplanation (JMLR 2018;.. <code><a href=\"http://bit.ly/2M0xdwT\">❗️GPL-3.0</a></code>\n- <b><a href=\"https://github.com/TeamHG-Memex/eli5\">eli5</a></b> (🥈26 ·  ⭐ 2.8K · 💀) - A library for debugging/inspecting machine learning classifiers and.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/albermax/innvestigate\">iNNvestigate</a></b> (🥈26 ·  ⭐ 1.3K · 💀) - A toolbox to iNNvestigate neural networks predictions!. <code><a href=\"http://bit.ly/3rqEWVr\">BSD-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/tensorflow/lucid\">Lucid</a></b> (🥉25 ·  ⭐ 4.7K · 💀) - A collection of infrastructure and tools for research in.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/raghakot/keras-vis\">keras-vis</a></b> (🥉25 ·  ⭐ 3K · 💀) - Neural network visualization toolkit for keras. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/mckinsey/causalnex\">CausalNex</a></b> (🥉24 ·  ⭐ 2.4K · 💀) - A Python library that helps data scientists to infer.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/marcotcr/checklist\">checklist</a></b> (🥉24 ·  ⭐ 2K · 💀) - Beyond Accuracy: Behavioral Testing of NLP models with CheckList. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/PAIR-code/what-if-tool\">What-If Tool</a></b> (🥉23 ·  ⭐ 980 · 💀) - Source code/webpage/demos for the What-If Tool. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/sicara/tf-explain\">tf-explain</a></b> (🥉22 ·  ⭐ 1K · 💀) - Interpretability Methods for tf.keras models with Tensorflow.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/kundajelab/deeplift\">deeplift</a></b> (🥉22 ·  ⭐ 870 · 💀) - Public facing deeplift repo. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/andosa/treeinterpreter\">TreeInterpreter</a></b> (🥉22 ·  ⭐ 760 · 💀) - Package for interpreting scikit-learns decision tree.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/understandable-machine-intelligence-lab/Quantus\">Quantus</a></b> (🥉22 ·  ⭐ 630) - Quantus is an eXplainable AI toolkit for responsible evaluation of.. <code><a href=\"http://bit.ly/2M0xdwT\">❗️GPL-3.0</a></code>\n- <b><a href=\"https://github.com/EthicalML/xai\">XAI</a></b> (🥉21 ·  ⭐ 1.2K · 💀) - XAI - An eXplainability toolbox for machine learning. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/tensorflow/tcav\">tcav</a></b> (🥉20 ·  ⭐ 640 · 💀) - Code for the TCAV ML interpretability project. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/jalammar/ecco\">ecco</a></b> (🥉19 ·  ⭐ 2.1K · 💀) - Explain, analyze, and visualize NLP language models. Ecco creates.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/edublancas/sklearn-evaluation\">sklearn-evaluation</a></b> (🥉17 ·  ⭐ 460 · 💀) - Machine learning model evaluation made easy: plots,.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/tensorflow/model-card-toolkit\">model-card-toolkit</a></b> (🥉17 ·  ⭐ 440 · 💀) - A toolkit that streamlines and automates the.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/marcotcr/anchor\">Anchor</a></b> (🥉16 ·  ⭐ 810 · 💀) - Code for High-Precision Model-Agnostic Explanations paper. <code><a href=\"http://bit.ly/3rqEWVr\">BSD-2</a></code>\n- <b><a href=\"https://github.com/MisaOgura/flashtorch\">FlashTorch</a></b> (🥉15 ·  ⭐ 740 · 💀) - Visualization toolkit for neural networks in PyTorch! Demo --. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/explainX/explainx\">ExplainX.ai</a></b> (🥉15 ·  ⭐ 440 · 💀) - Explainable AI framework for data scientists. Explain & debug any.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/givasile/effector\">effector</a></b> (🥉15 ·  ⭐ 120) - Effector - a Python package for global and regional effect methods. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/oracle/Skater\">Skater</a></b> (🥉14 ·  ⭐ 1.1K) - Python Library for Model Interpretation/Explanations. <code><a href=\"https://tldrlegal.com/search?q=UPL-1.0\">❗️UPL-1.0</a></code>\n- <b><a href=\"https://github.com/interpretml/interpret-text\">interpret-text</a></b> (🥉14 ·  ⭐ 430 · 💀) - A library that incorporates state-of-the-art explainers.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/intuit/bias-detector\">bias-detector</a></b> (🥉13 ·  ⭐ 45 · 💀) - Bias Detector is a python package for detecting bias in machine.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/suinleelab/attributionpriors\">Attribution Priors</a></b> (🥉12 ·  ⭐ 120 · 💀) - Tools for training explainable models using.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/SAP-archive/contextual-ai\">contextual-ai</a></b> (🥉12 ·  ⭐ 87 · 💀) - Contextual AI adds explainability to different stages of.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n</details>\n<br>\n\n## Vector Similarity Search (ANN)\n\n<a href=\"#contents\"><img align=\"right\" width=\"15\" height=\"15\" src=\"https://git.io/JtehR\" alt=\"Back to top\"></a>\n\n_Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarity Search._\n\n🔗&nbsp;<b><a href=\"https://github.com/erikbern/ann-benchmarks\">ANN Benchmarks</a></b> ( ⭐ 5.5K)  - Benchmarks of approximate nearest neighbor libraries in Python.\n\n<details><summary><b><a href=\"https://github.com/milvus-io/milvus\">Milvus</a></b> (🥇43 ·  ⭐ 38K) - Milvus is a high-performance, cloud-native vector database built for.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/milvus-io/milvus) (👨‍💻 330 · 🔀 3.5K · 📥 290K · 📋 15K - 5% open · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https://github.com/milvus-io/milvus\n\t```\n- [PyPi](https://pypi.org/project/pymilvus) (📥 3.3M / month · 📦 350 · ⏱️ 19.09.2025):\n\t```\n\tpip install pymilvus\n\t```\n- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (📥 72M · ⭐ 90 · ⏱️ 30.10.2025):\n\t```\n\tdocker pull milvusdb/milvus\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/facebookresearch/faiss\">Faiss</a></b> (🥇42 ·  ⭐ 38K · 📈) - A library for efficient similarity search and clustering of dense vectors. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/facebookresearch/faiss) (👨‍💻 260 · 🔀 4K · 📦 5K · 📋 2.7K - 9% open · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https://github.com/facebookresearch/faiss\n\t```\n- [PyPi](https://pypi.org/project/pymilvus) (📥 3.3M / month · 📦 350 · ⏱️ 19.09.2025):\n\t```\n\tpip install pymilvus\n\t```\n- [Conda](https://anaconda.org/conda-forge/faiss) (📥 3M · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge faiss\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/spotify/annoy\">Annoy</a></b> (🥈35 ·  ⭐ 14K) - Approximate Nearest Neighbors in C++/Python optimized for memory usage.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/spotify/annoy) (👨‍💻 90 · 🔀 1.2K · 📦 5.4K · 📋 420 - 16% open · ⏱️ 29.10.2025):\n\n\t```\n\tgit clone https://github.com/spotify/annoy\n\t```\n- [PyPi](https://pypi.org/project/annoy) (📥 1M / month · 📦 200 · ⏱️ 14.06.2023):\n\t```\n\tpip install annoy\n\t```\n- [Conda](https://anaconda.org/conda-forge/python-annoy) (📥 800K · ⏱️ 01.09.2025):\n\t```\n\tconda install -c conda-forge python-annoy\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/unum-cloud/USearch\">USearch</a></b> (🥈33 ·  ⭐ 3.2K) - Fast Open-Source Search & Clustering engine for Vectors & Arbitrary.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/unum-cloud/USearch) (👨‍💻 81 · 🔀 230 · 📥 110K · 📦 210 · 📋 250 - 32% open · ⏱️ 29.10.2025):\n\n\t```\n\tgit clone https://github.com/unum-cloud/usearch\n\t```\n- [PyPi](https://pypi.org/project/usearch) (📥 140K / month · 📦 44 · ⏱️ 04.09.2025):\n\t```\n\tpip install usearch\n\t```\n- [npm](https://www.npmjs.com/package/usearch) (📥 18K / month · 📦 23 · ⏱️ 29.10.2025):\n\t```\n\tnpm install usearch\n\t```\n- [Docker Hub](https://hub.docker.com/r/unum/usearch) (📥 480 · ⭐ 1 · ⏱️ 29.10.2025):\n\t```\n\tdocker pull unum/usearch\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/nmslib/nmslib\">NMSLIB</a></b> (🥈32 ·  ⭐ 3.5K) - Non-Metric Space Library (NMSLIB): An efficient similarity search.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/nmslib/nmslib) (👨‍💻 49 · 🔀 460 · 📦 1.4K · 📋 440 - 20% open · ⏱️ 22.10.2025):\n\n\t```\n\tgit clone https://github.com/nmslib/nmslib\n\t```\n- [PyPi](https://pypi.org/project/nmslib) (📥 280K / month · 📦 67 · ⏱️ 23.10.2025):\n\t```\n\tpip install nmslib\n\t```\n- [Conda](https://anaconda.org/conda-forge/nmslib) (📥 230K · ⏱️ 30.08.2025):\n\t```\n\tconda install -c conda-forge nmslib\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/lmcinnes/pynndescent\">PyNNDescent</a></b> (🥉28 ·  ⭐ 950) - A Python nearest neighbor descent for approximate nearest neighbors. <code><a href=\"http://bit.ly/3rqEWVr\">BSD-2</a></code></summary>\n\n- [GitHub](https://github.com/lmcinnes/pynndescent) (👨‍💻 31 · 🔀 110 · 📦 13K · 📋 140 - 53% open · ⏱️ 17.10.2025):\n\n\t```\n\tgit clone https://github.com/lmcinnes/pynndescent\n\t```\n- [PyPi](https://pypi.org/project/pynndescent) (📥 2.5M / month · 📦 160 · ⏱️ 17.06.2024):\n\t```\n\tpip install pynndescent\n\t```\n- [Conda](https://anaconda.org/conda-forge/pynndescent) (📥 2.5M · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge pynndescent\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/yahoojapan/NGT\">NGT</a></b> (🥉22 ·  ⭐ 1.3K) - Nearest Neighbor Search with Neighborhood Graph and Tree for High-.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/yahoojapan/NGT) (👨‍💻 19 · 🔀 120 · 📋 150 - 18% open · ⏱️ 15.10.2025):\n\n\t```\n\tgit clone https://github.com/yahoojapan/NGT\n\t```\n- [PyPi](https://pypi.org/project/ngt) (📥 1.8K / month · 📦 12 · ⏱️ 26.02.2025):\n\t```\n\tpip install ngt\n\t```\n</details>\n<details><summary>Show 5 hidden projects...</summary>\n\n- <b><a href=\"https://github.com/nmslib/hnswlib\">hnswlib</a></b> (🥈32 ·  ⭐ 5K · 💀) - Header-only C++/python library for fast approximate nearest.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/pixelogik/NearPy\">NearPy</a></b> (🥉22 ·  ⭐ 770 · 💀) - Python framework for fast (approximated) nearest neighbour search in.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/kakao/n2\">N2</a></b> (🥉22 ·  ⭐ 580 · 💀) - TOROS N2 - lightweight approximate Nearest Neighbor library which runs.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/plasticityai/magnitude\">Magnitude</a></b> (🥉20 ·  ⭐ 1.7K · 💀) - A fast, efficient universal vector embedding utility package. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/facebookresearch/pysparnn\">PySparNN</a></b> (🥉11 ·  ⭐ 920 · 💀) - Approximate Nearest Neighbor Search for Sparse Data in Python!. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n</details>\n<br>\n\n## Probabilistics & Statistics\n\n<a href=\"#contents\"><img align=\"right\" width=\"15\" height=\"15\" src=\"https://git.io/JtehR\" alt=\"Back to top\"></a>\n\n_Libraries providing capabilities for probabilistic programming/reasoning, bayesian inference, gaussian processes, or statistics._\n\n<details><summary><b><a href=\"https://github.com/pymc-devs/pymc\">PyMC3</a></b> (🥇40 ·  ⭐ 9.3K) - Bayesian Modeling and Probabilistic Programming in Python. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/pymc-devs/pymc) (👨‍💻 530 · 🔀 2.1K · 📥 140 · 📦 7.7K · 📋 3.6K - 11% open · ⏱️ 28.10.2025):\n\n\t```\n\tgit clone https://github.com/pymc-devs/pymc\n\t```\n- [PyPi](https://pypi.org/project/pymc3) (📥 330K / month · 📦 190 · ⏱️ 31.05.2024):\n\t```\n\tpip install pymc3\n\t```\n- [Conda](https://anaconda.org/conda-forge/pymc3) (📥 860K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge pymc3\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/tensorflow/probability\">tensorflow-probability</a></b> (🥇35 ·  ⭐ 4.4K) - Probabilistic reasoning and statistical analysis in.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/tensorflow/probability) (👨‍💻 500 · 🔀 1.1K · 📦 4 · 📋 1.5K - 48% open · ⏱️ 22.10.2025):\n\n\t```\n\tgit clone https://github.com/tensorflow/probability\n\t```\n- [PyPi](https://pypi.org/project/tensorflow-probability) (📥 880K / month · 📦 620 · ⏱️ 08.11.2024):\n\t```\n\tpip install tensorflow-probability\n\t```\n- [Conda](https://anaconda.org/conda-forge/tensorflow-probability) (📥 200K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge tensorflow-probability\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/cornellius-gp/gpytorch\">GPyTorch</a></b> (🥇34 ·  ⭐ 3.8K) - A highly efficient implementation of Gaussian Processes in PyTorch. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/cornellius-gp/gpytorch) (👨‍💻 140 · 🔀 580 · 📦 3.2K · 📋 1.4K - 28% open · ⏱️ 14.10.2025):\n\n\t```\n\tgit clone https://github.com/cornellius-gp/gpytorch\n\t```\n- [PyPi](https://pypi.org/project/gpytorch) (📥 500K / month · 📦 250 · ⏱️ 14.10.2025):\n\t```\n\tpip install gpytorch\n\t```\n- [Conda](https://anaconda.org/conda-forge/gpytorch) (📥 230K · ⏱️ 18.10.2025):\n\t```\n\tconda install -c conda-forge gpytorch\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/pgmpy/pgmpy\">pgmpy</a></b> (🥇34 ·  ⭐ 3.1K) - Python library for causal inference and probabilistic modeling. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/pgmpy/pgmpy) (👨‍💻 180 · 🔀 860 · 📥 680 · 📦 1.7K · 📋 1.1K - 27% open · ⏱️ 29.10.2025):\n\n\t```\n\tgit clone https://github.com/pgmpy/pgmpy\n\t```\n- [PyPi](https://pypi.org/project/pgmpy) (📥 120K / month · 📦 72 · ⏱️ 31.03.2025):\n\t```\n\tpip install pgmpy\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/pydata/patsy\">patsy</a></b> (🥇34 ·  ⭐ 980) - Describing statistical models in Python using symbolic formulas. <code><a href=\"http://bit.ly/3rqEWVr\">BSD-2</a></code></summary>\n\n- [GitHub](https://github.com/pydata/patsy) (👨‍💻 23 · 🔀 100 · 📦 130K · 📋 160 - 46% open · ⏱️ 20.10.2025):\n\n\t```\n\tgit clone https://github.com/pydata/patsy\n\t```\n- [PyPi](https://pypi.org/project/patsy) (📥 22M / month · 📦 680 · ⏱️ 20.10.2025):\n\t```\n\tpip install patsy\n\t```\n- [Conda](https://anaconda.org/conda-forge/patsy) (📥 19M · ⏱️ 20.10.2025):\n\t```\n\tconda install -c conda-forge patsy\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/pyro-ppl/pyro\">Pyro</a></b> (🥈32 ·  ⭐ 8.9K) - Deep universal probabilistic programming with Python and PyTorch. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/pyro-ppl/pyro) (👨‍💻 160 · 🔀 1K · 📋 1.1K - 24% open · ⏱️ 09.07.2025):\n\n\t```\n\tgit clone https://github.com/pyro-ppl/pyro\n\t```\n- [PyPi](https://pypi.org/project/pyro-ppl) (📥 630K / month · 📦 190 · ⏱️ 02.06.2024):\n\t```\n\tpip install pyro-ppl\n\t```\n- [Conda](https://anaconda.org/conda-forge/pyro-ppl) (📥 280K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge pyro-ppl\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/SALib/SALib\">SALib</a></b> (🥈31 ·  ⭐ 960) - Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/SALib/SALib) (👨‍💻 54 · 🔀 250 · 📦 1.6K · 📋 350 - 18% open · ⏱️ 12.10.2025):\n\n\t```\n\tgit clone https://github.com/SALib/SALib\n\t```\n- [PyPi](https://pypi.org/project/salib) (📥 250K / month · 📦 190 · ⏱️ 12.10.2025):\n\t```\n\tpip install salib\n\t```\n- [Conda](https://anaconda.org/conda-forge/salib) (📥 290K · ⏱️ 12.10.2025):\n\t```\n\tconda install -c conda-forge salib\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/hmmlearn/hmmlearn\">hmmlearn</a></b> (🥈30 ·  ⭐ 3.3K · 💤) - Hidden Markov Models in Python, with scikit-learn like API. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/hmmlearn/hmmlearn) (👨‍💻 49 · 🔀 740 · 📦 3.7K · 📋 450 - 16% open · ⏱️ 31.10.2024):\n\n\t```\n\tgit clone https://github.com/hmmlearn/hmmlearn\n\t```\n- [PyPi](https://pypi.org/project/hmmlearn) (📥 240K / month · 📦 92 · ⏱️ 31.10.2024):\n\t```\n\tpip install hmmlearn\n\t```\n- [Conda](https://anaconda.org/conda-forge/hmmlearn) (📥 430K · ⏱️ 10.09.2025):\n\t```\n\tconda install -c conda-forge hmmlearn\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/dfm/emcee\">emcee</a></b> (🥈30 ·  ⭐ 1.5K) - The Python ensemble sampling toolkit for affine-invariant MCMC. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/dfm/emcee) (👨‍💻 76 · 🔀 430 · 📦 3.2K · 📋 300 - 19% open · ⏱️ 14.10.2025):\n\n\t```\n\tgit clone https://github.com/dfm/emcee\n\t```\n- [PyPi](https://pypi.org/project/emcee) (📥 170K / month · 📦 440 · ⏱️ 19.04.2024):\n\t```\n\tpip install emcee\n\t```\n- [Conda](https://anaconda.org/conda-forge/emcee) (📥 510K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge emcee\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/GPflow/GPflow\">GPflow</a></b> (🥉29 ·  ⭐ 1.9K) - Gaussian processes in TensorFlow. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/GPflow/GPflow) (👨‍💻 84 · 🔀 430 · 📦 790 · 📋 840 - 19% open · ⏱️ 29.05.2025):\n\n\t```\n\tgit clone https://github.com/GPflow/GPflow\n\t```\n- [PyPi](https://pypi.org/project/gpflow) (📥 32K / month · 📦 43 · ⏱️ 29.05.2025):\n\t```\n\tpip install gpflow\n\t```\n- [Conda](https://anaconda.org/conda-forge/gpflow) (📥 51K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge gpflow\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/bambinos/bambi\">bambi</a></b> (🥉29 ·  ⭐ 1.2K) - BAyesian Model-Building Interface (Bambi) in Python. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/bambinos/bambi) (👨‍💻 47 · 🔀 140 · 📦 220 · 📋 460 - 21% open · ⏱️ 24.10.2025):\n\n\t```\n\tgit clone https://github.com/bambinos/bambi\n\t```\n- [PyPi](https://pypi.org/project/bambi) (📥 48K / month · 📦 19 · ⏱️ 24.10.2025):\n\t```\n\tpip install bambi\n\t```\n- [Conda](https://anaconda.org/conda-forge/bambi) (📥 56K · ⏱️ 27.10.2025):\n\t```\n\tconda install -c conda-forge bambi\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/jmschrei/pomegranate\">pomegranate</a></b> (🥉26 ·  ⭐ 3.5K · 💤) - Fast, flexible and easy to use probabilistic modelling in Python. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/jmschrei/pomegranate) (👨‍💻 75 · 🔀 590 · 📋 800 - 4% open · ⏱️ 07.02.2025):\n\n\t```\n\tgit clone https://github.com/jmschrei/pomegranate\n\t```\n- [PyPi](https://pypi.org/project/pomegranate) (📥 36K / month · 📦 67 · ⏱️ 07.02.2025):\n\t```\n\tpip install pomegranate\n\t```\n- [Conda](https://anaconda.org/conda-forge/pomegranate) (📥 230K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge pomegranate\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/maximtrp/scikit-posthocs\">scikit-posthocs</a></b> (🥉24 ·  ⭐ 380) - Multiple Pairwise Comparisons (Post Hoc) Tests in Python. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/maximtrp/scikit-posthocs) (👨‍💻 18 · 🔀 41 · 📥 67 · 📦 1.2K · 📋 72 - 6% open · ⏱️ 11.09.2025):\n\n\t```\n\tgit clone https://github.com/maximtrp/scikit-posthocs\n\t```\n- [PyPi](https://pypi.org/project/scikit-posthocs) (📥 120K / month · 📦 73 · ⏱️ 29.03.2025):\n\t```\n\tpip install scikit-posthocs\n\t```\n- [Conda](https://anaconda.org/conda-forge/scikit-posthocs) (📥 1.1M · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge scikit-posthocs\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/twopirllc/pandas-ta\">pandas-ta</a></b> (🥉23 ·  ⭐ 5.5K) - Technical Analysis Indicators - Pandas TA is an easy to use.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1S\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/twopirllc/pandas-ta) (👨‍💻 40 · 🔀 1.1K):\n\n\t```\n\tgit clone https://github.com/twopirllc/pandas-ta\n\t```\n- [PyPi](https://pypi.org/project/pandas-ta) (📥 290K / month · 📦 190 · ⏱️ 14.09.2025):\n\t```\n\tpip install pandas-ta\n\t```\n- [Conda](https://anaconda.org/conda-forge/pandas-ta) (📥 39K · ⏱️ 23.09.2025):\n\t```\n\tconda install -c conda-forge pandas-ta\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/baal-org/baal\">Baal</a></b> (🥉22 ·  ⭐ 910) - Bayesian active learning library for research and industrial usecases. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/baal-org/baal) (👨‍💻 24 · 🔀 87 · 📦 67 · 📋 120 - 18% open · ⏱️ 07.10.2025):\n\n\t```\n\tgit clone https://github.com/baal-org/baal\n\t```\n- [PyPi](https://pypi.org/project/baal) (📥 1.8K / month · 📦 2 · ⏱️ 24.06.2025):\n\t```\n\tpip install baal\n\t```\n- [Conda](https://anaconda.org/conda-forge/baal) (📥 15K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge baal\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/uber/orbit\">Orbit</a></b> (🥉21 ·  ⭐ 2K) - A Python package for Bayesian forecasting with object-oriented design.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/uber/orbit) (👨‍💻 21 · 🔀 140 · 📋 410 - 13% open · ⏱️ 05.06.2025):\n\n\t```\n\tgit clone https://github.com/uber/orbit\n\t```\n- [PyPi](https://pypi.org/project/orbit-ml) (📥 24K / month · 📦 1 · ⏱️ 01.04.2024):\n\t```\n\tpip install orbit-ml\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/mattjj/pyhsmm\">pyhsmm</a></b> (🥉21 ·  ⭐ 570 · 💤) - Bayesian inference in HSMMs and HMMs. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/mattjj/pyhsmm) (👨‍💻 14 · 🔀 170 · 📦 35 · 📋 100 - 39% open · ⏱️ 25.01.2025):\n\n\t```\n\tgit clone https://github.com/mattjj/pyhsmm\n\t```\n- [PyPi](https://pypi.org/project/pyhsmm) (📥 300 / month · 📦 1 · ⏱️ 10.05.2017):\n\t```\n\tpip install pyhsmm\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/ENSTA-U2IS-AI/torch-uncertainty\">TorchUncertainty</a></b> (🥉20 ·  ⭐ 440 · 📉) - Open-source framework for uncertainty and deep.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/ENSTA-U2IS-AI/torch-uncertainty) (👨‍💻 13 · 🔀 35 · 📋 67 - 23% open · ⏱️ 31.07.2025):\n\n\t```\n\tgit clone https://github.com/ENSTA-U2IS-AI/torch-uncertainty\n\t```\n- [PyPi](https://pypi.org/project/torch-uncertainty) (📥 920 / month · 📦 4 · ⏱️ 31.07.2025):\n\t```\n\tpip install torch-uncertainty\n\t```\n</details>\n<details><summary>Show 6 hidden projects...</summary>\n\n- <b><a href=\"https://github.com/rlabbe/filterpy\">filterpy</a></b> (🥈31 ·  ⭐ 3.7K · 💀) - Python Kalman filtering and optimal estimation library. Implements.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/raphaelvallat/pingouin\">pingouin</a></b> (🥉29 ·  ⭐ 1.8K) - Statistical package in Python based on Pandas. <code><a href=\"http://bit.ly/2M0xdwT\">❗️GPL-3.0</a></code>\n- <b><a href=\"https://github.com/blei-lab/edward\">Edward</a></b> (🥉27 ·  ⭐ 4.8K · 💀) - A probabilistic programming language in TensorFlow. Deep.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/stan-dev/pystan\">PyStan</a></b> (🥉27 ·  ⭐ 360 · 💀) - PyStan, a Python interface to Stan, a platform for statistical.. <code><a href=\"http://bit.ly/3hkKRql\">ISC</a></code>\n- <b><a href=\"https://github.com/pyro-ppl/funsor\">Funsor</a></b> (🥉21 ·  ⭐ 240 · 💀) - Functional tensors for probabilistic programming. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/thu-ml/zhusuan\">ZhuSuan</a></b> (🥉15 ·  ⭐ 2.2K · 💀) - A probabilistic programming library for Bayesian deep learning,.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n</details>\n<br>\n\n## Adversarial Robustness\n\n<a href=\"#contents\"><img align=\"right\" width=\"15\" height=\"15\" src=\"https://git.io/JtehR\" alt=\"Back to top\"></a>\n\n_Libraries for testing the robustness of machine learning models against attacks with adversarial/malicious examples._\n\n<details><summary><b><a href=\"https://github.com/Trusted-AI/adversarial-robustness-toolbox\">ART</a></b> (🥇34 ·  ⭐ 5.6K) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (👨‍💻 140 · 🔀 1.2K · 📦 770 · 📋 910 - 1% open · ⏱️ 17.10.2025):\n\n\t```\n\tgit clone https://github.com/Trusted-AI/adversarial-robustness-toolbox\n\t```\n- [PyPi](https://pypi.org/project/adversarial-robustness-toolbox) (📥 29K / month · 📦 25 · ⏱️ 07.07.2025):\n\t```\n\tpip install adversarial-robustness-toolbox\n\t```\n- [Conda](https://anaconda.org/conda-forge/adversarial-robustness-toolbox) (📥 85K · ⏱️ 07.07.2025):\n\t```\n\tconda install -c conda-forge adversarial-robustness-toolbox\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/QData/TextAttack\">TextAttack</a></b> (🥈28 ·  ⭐ 3.3K) - TextAttack is a Python framework for adversarial attacks, data.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/QData/TextAttack) (👨‍💻 67 · 🔀 420 · 📦 430 · 📋 290 - 23% open · ⏱️ 10.07.2025):\n\n\t```\n\tgit clone https://github.com/QData/TextAttack\n\t```\n- [PyPi](https://pypi.org/project/textattack) (📥 9.1K / month · 📦 11 · ⏱️ 11.03.2024):\n\t```\n\tpip install textattack\n\t```\n- [Conda](https://anaconda.org/conda-forge/textattack) (📥 11K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge textattack\n\t```\n</details>\n<details><summary>Show 7 hidden projects...</summary>\n\n- <b><a href=\"https://github.com/cleverhans-lab/cleverhans\">CleverHans</a></b> (🥈29 ·  ⭐ 6.4K · 💀) - An adversarial example library for constructing attacks,.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/bethgelab/foolbox\">Foolbox</a></b> (🥈28 ·  ⭐ 2.9K · 💀) - A Python toolbox to create adversarial examples that fool neural.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/BorealisAI/advertorch\">advertorch</a></b> (🥉24 ·  ⭐ 1.4K · 💀) - A Toolbox for Adversarial Robustness Research. <code><a href=\"http://bit.ly/2M0xdwT\">❗️GPL-3.0</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/MadryLab/robustness\">robustness</a></b> (🥉20 ·  ⭐ 950 · 💀) - A library for experimenting with, training and evaluating neural.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/advboxes/AdvBox\">AdvBox</a></b> (🥉19 ·  ⭐ 1.4K · 💀) - Advbox is a toolbox to generate adversarial examples that fool.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/textflint/textflint\">textflint</a></b> (🥉17 ·  ⭐ 650 · 💀) - Unified Multilingual Robustness Evaluation Toolkit for.. <code><a href=\"http://bit.ly/2M0xdwT\">❗️GPL-3.0</a></code>\n- <b><a href=\"https://github.com/airbnb/artificial-adversary\">Adversary</a></b> (🥉15 ·  ⭐ 400 · 💀) - Tool to generate adversarial text examples and test machine.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n</details>\n<br>\n\n## GPU & Accelerator Utilities\n\n<a href=\"#contents\"><img align=\"right\" width=\"15\" height=\"15\" src=\"https://git.io/JtehR\" alt=\"Back to top\"></a>\n\n_Libraries that require and make use of CUDA/GPU or other accelerator hardware capabilities to optimize machine learning tasks._\n\n<details><summary><b><a href=\"https://github.com/huggingface/optimum\">optimum</a></b> (🥇37 ·  ⭐ 3.1K) - Accelerate inference and training of Transformers, Diffusers, TIMM.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/huggingface/optimum) (👨‍💻 150 · 🔀 600 · 📦 6.3K · 📋 860 - 30% open · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https://github.com/huggingface/optimum\n\t```\n- [PyPi](https://pypi.org/project/optimum) (📥 3.7M / month · 📦 270 · ⏱️ 09.10.2025):\n\t```\n\tpip install optimum\n\t```\n- [Conda](https://anaconda.org/conda-forge/optimum) (📥 50K · ⏱️ 09.10.2025):\n\t```\n\tconda install -c conda-forge optimum\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/rapidsai/cudf\">cuDF</a></b> (🥇35 ·  ⭐ 9.3K) - cuDF - GPU DataFrame Library. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/rapidsai/cudf) (👨‍💻 310 · 🔀 980 · 📦 64 · 📋 7.3K - 15% open · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https://github.com/rapidsai/cudf\n\t```\n- [PyPi](https://pypi.org/project/cudf) (📥 2.8K / month · 📦 22 · ⏱️ 01.06.2020):\n\t```\n\tpip install cudf\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/inducer/pycuda\">PyCUDA</a></b> (🥈33 ·  ⭐ 2K) - CUDA integration for Python, plus shiny features. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/inducer/pycuda) (👨‍💻 83 · 🔀 300 · 📦 4K · 📋 290 - 29% open · ⏱️ 12.10.2025):\n\n\t```\n\tgit clone https://github.com/inducer/pycuda\n\t```\n- [PyPi](https://pypi.org/project/pycuda) (📥 66K / month · 📦 200 · ⏱️ 09.09.2025):\n\t```\n\tpip install pycuda\n\t```\n- [Conda](https://anaconda.org/conda-forge/pycuda) (📥 1.1M · ⏱️ 27.10.2025):\n\t```\n\tconda install -c conda-forge pycuda\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/NVIDIA/apex\">Apex</a></b> (🥈32 ·  ⭐ 8.8K) - A PyTorch Extension: Tools for easy mixed precision and distributed.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/NVIDIA/apex) (👨‍💻 140 · 🔀 1.4K · 📦 3.3K · 📋 1.3K - 57% open · ⏱️ 29.10.2025):\n\n\t```\n\tgit clone https://github.com/NVIDIA/apex\n\t```\n- [Conda](https://anaconda.org/conda-forge/nvidia-apex) (📥 580K · ⏱️ 26.07.2025):\n\t```\n\tconda install -c conda-forge nvidia-apex\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/rapidsai/cuml\">cuML</a></b> (🥈31 ·  ⭐ 5K) - cuML - RAPIDS Machine Learning Library. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/rapidsai/cuml) (👨‍💻 190 · 🔀 600 · 📋 3K - 31% open · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https://github.com/rapidsai/cuml\n\t```\n- [PyPi](https://pypi.org/project/cuml) (📥 2.5K / month · 📦 14 · ⏱️ 01.06.2020):\n\t```\n\tpip install cuml\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/wookayin/gpustat\">gpustat</a></b> (🥈29 ·  ⭐ 4.3K) - A simple command-line utility for querying and monitoring GPU status. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/wookayin/gpustat) (👨‍💻 17 · 🔀 280 · 📦 7.9K · 📋 130 - 22% open · ⏱️ 13.04.2025):\n\n\t```\n\tgit clone https://github.com/wookayin/gpustat\n\t```\n- [PyPi](https://pypi.org/project/gpustat) (📥 1.1M / month · 📦 150 · ⏱️ 22.08.2023):\n\t```\n\tpip install gpustat\n\t```\n- [Conda](https://anaconda.org/conda-forge/gpustat) (📥 310K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge gpustat\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/arrayfire/arrayfire\">ArrayFire</a></b> (🥈28 ·  ⭐ 4.8K) - ArrayFire: a general purpose GPU library. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code></summary>\n\n- [GitHub](https://github.com/arrayfire/arrayfire) (👨‍💻 97 · 🔀 540 · 📥 9.6K · 📋 1.8K - 19% open · ⏱️ 28.07.2025):\n\n\t```\n\tgit clone https://github.com/arrayfire/arrayfire\n\t```\n- [PyPi](https://pypi.org/project/arrayfire) (📥 4.5K / month · 📦 13 · ⏱️ 22.02.2022):\n\t```\n\tpip install arrayfire\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/rapidsai/cugraph\">cuGraph</a></b> (🥈28 ·  ⭐ 2.1K) - cuGraph - RAPIDS Graph Analytics Library. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/rapidsai/cugraph) (👨‍💻 120 · 🔀 340 · 📋 1.9K - 6% open · ⏱️ 29.10.2025):\n\n\t```\n\tgit clone https://github.com/rapidsai/cugraph\n\t```\n- [PyPi](https://pypi.org/project/cugraph) (📥 550 / month · 📦 4 · ⏱️ 01.06.2020):\n\t```\n\tpip install cugraph\n\t```\n- [Conda](https://anaconda.org/conda-forge/libcugraph) (📥 69K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge libcugraph\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/cupy/cupy\">CuPy</a></b> (🥉27 ·  ⭐ 11K) - NumPy & SciPy for GPU. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/cupy/cupy) (👨‍💻 340 · 🔀 950):\n\n\t```\n\tgit clone https://github.com/cupy/cupy\n\t```\n- [PyPi](https://pypi.org/project/cupy) (📥 39K / month · 📦 400 · ⏱️ 18.08.2025):\n\t```\n\tpip install cupy\n\t```\n- [Conda](https://anaconda.org/conda-forge/cupy) (📥 7.2M · ⏱️ 14.09.2025):\n\t```\n\tconda install -c conda-forge cupy\n\t```\n- [Docker Hub](https://hub.docker.com/r/cupy/cupy) (📥 92K · ⭐ 14 · ⏱️ 18.08.2025):\n\t```\n\tdocker pull cupy/cupy\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/NVIDIA/DALI\">DALI</a></b> (🥉25 ·  ⭐ 5.5K) - A GPU-accelerated library containing highly optimized building blocks.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/NVIDIA/DALI) (👨‍💻 99 · 🔀 650 · 📋 1.7K - 15% open · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https://github.com/NVIDIA/DALI\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/KomputeProject/kompute\">Vulkan Kompute</a></b> (🥉23 ·  ⭐ 2.4K) - General purpose GPU compute framework built on Vulkan to.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/KomputeProject/kompute) (👨‍💻 35 · 🔀 160 · 📥 700 · 📋 230 - 32% open · ⏱️ 05.10.2025):\n\n\t```\n\tgit clone https://github.com/KomputeProject/kompute\n\t```\n- [PyPi](https://pypi.org/project/kp) (📥 1.8K / month · ⏱️ 20.01.2024):\n\t```\n\tpip install kp\n\t```\n</details>\n<details><summary>Show 9 hidden projects...</summary>\n\n- <b><a href=\"https://github.com/anderskm/gputil\">GPUtil</a></b> (🥉25 ·  ⭐ 1.2K · 💀) - A Python module for getting the GPU status from NVIDA GPUs using.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/lebedov/scikit-cuda\">scikit-cuda</a></b> (🥉25 ·  ⭐ 990 · 💀) - Python interface to GPU-powered libraries. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/fbcotter/py3nvml\">py3nvml</a></b> (🥉22 ·  ⭐ 250 · 💀) - Python 3 Bindings for NVML library. Get NVIDIA GPU status inside.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/BlazingDB/blazingsql\">BlazingSQL</a></b> (🥉20 ·  ⭐ 2K · 💀) - BlazingSQL is a lightweight, GPU accelerated, SQL engine for.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/NVIDIA-Merlin/Merlin\">Merlin</a></b> (🥉20 ·  ⭐ 860 · 💀) - NVIDIA Merlin is an open source library providing end-to-end GPU-.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/nicolargo/nvidia-ml-py3\">nvidia-ml-py3</a></b> (🥉18 ·  ⭐ 140 · 💀) - Python 3 Bindings for the NVIDIA Management Library. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/Santosh-Gupta/SpeedTorch\">SpeedTorch</a></b> (🥉15 ·  ⭐ 680 · 💀) - Library for faster pinned CPU - GPU transfer in Pytorch. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/stas00/ipyexperiments\">ipyexperiments</a></b> (🥉15 ·  ⭐ 220 · 💀) - Automatic GPU+CPU memory profiling, re-use and memory.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/rapidsai/cusignal\">cuSignal</a></b> (🥉14 ·  ⭐ 730 · 💀) - GPU accelerated signal processing. <code>❗Unlicensed</code>\n</details>\n<br>\n\n## Tensorflow Utilities\n\n<a href=\"#contents\"><img align=\"right\" width=\"15\" height=\"15\" src=\"https://git.io/JtehR\" alt=\"Back to top\"></a>\n\n_Libraries that extend TensorFlow with additional capabilities._\n\n<details><summary><b><a href=\"https://github.com/tensorflow/datasets\">TensorFlow Datasets</a></b> (🥇39 ·  ⭐ 4.5K) - TFDS is a collection of datasets ready to use with.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/tensorflow/datasets) (👨‍💻 660 · 🔀 1.6K · 📦 25K · 📋 1.5K - 47% open · ⏱️ 17.10.2025):\n\n\t```\n\tgit clone https://github.com/tensorflow/datasets\n\t```\n- [PyPi](https://pypi.org/project/tensorflow-datasets) (📥 1.8M / month · 📦 340 · ⏱️ 28.05.2025):\n\t```\n\tpip install tensorflow-datasets\n\t```\n- [Conda](https://anaconda.org/conda-forge/tensorflow-datasets) (📥 51K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge tensorflow-datasets\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/tensorflow/hub\">tensorflow-hub</a></b> (🥈31 ·  ⭐ 3.5K · 💤) - A library for transfer learning by reusing parts of.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/tensorflow/hub) (👨‍💻 110 · 🔀 1.7K · 📋 710 - 2% open · ⏱️ 17.01.2025):\n\n\t```\n\tgit clone https://github.com/tensorflow/hub\n\t```\n- [PyPi](https://pypi.org/project/tensorflow-hub) (📥 2M / month · 📦 300 · ⏱️ 30.01.2024):\n\t```\n\tpip install tensorflow-hub\n\t```\n- [Conda](https://anaconda.org/conda-forge/tensorflow-hub) (📥 130K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge tensorflow-hub\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/tensorflow/tfx\">TFX</a></b> (🥈31 ·  ⭐ 2.2K · 💤) - TFX is an end-to-end platform for deploying production ML.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/tensorflow/tfx) (👨‍💻 200 · 🔀 710 · 📦 1.8K · 📋 1.2K - 22% open · ⏱️ 26.03.2025):\n\n\t```\n\tgit clone https://github.com/tensorflow/tfx\n\t```\n- [PyPi](https://pypi.org/project/tfx) (📥 37K / month · 📦 17 · ⏱️ 11.12.2024):\n\t```\n\tpip install tfx\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/tensorflow/model-optimization\">TF Model Optimization</a></b> (🥈29 ·  ⭐ 1.6K) - A toolkit to optimize ML models for deployment for.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/tensorflow/model-optimization) (👨‍💻 87 · 🔀 320 · 📋 400 - 57% open · ⏱️ 07.07.2025):\n\n\t```\n\tgit clone https://github.com/tensorflow/model-optimization\n\t```\n- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (📥 920K / month · 📦 45 · ⏱️ 08.02.2024):\n\t```\n\tpip install tensorflow-model-optimization\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/tensorflow/io\">TensorFlow I/O</a></b> (🥈29 ·  ⭐ 730) - Dataset, streaming, and file system extensions.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/tensorflow/io) (👨‍💻 120 · 🔀 290 · 📋 660 - 44% open · ⏱️ 10.04.2025):\n\n\t```\n\tgit clone https://github.com/tensorflow/io\n\t```\n- [PyPi](https://pypi.org/project/tensorflow-io) (📥 730K / month · 📦 61 · ⏱️ 01.07.2024):\n\t```\n\tpip install tensorflow-io\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/tensorflow/transform\">TensorFlow Transform</a></b> (🥉26 ·  ⭐ 990) - Input pipeline framework. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/tensorflow/transform) (👨‍💻 31 · 🔀 220 · 📋 220 - 17% open · ⏱️ 06.08.2025):\n\n\t```\n\tgit clone https://github.com/tensorflow/transform\n\t```\n- [PyPi](https://pypi.org/project/tensorflow-transform) (📥 250K / month · 📦 19 · ⏱️ 13.06.2025):\n\t```\n\tpip install tensorflow-transform\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/tensorflow/neural-structured-learning\">Neural Structured Learning</a></b> (🥉24 ·  ⭐ 1K · 💤) - Training neural models with structured signals. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/tensorflow/neural-structured-learning) (👨‍💻 39 · 🔀 190 · 📦 520 · 📋 69 - 1% open · ⏱️ 29.01.2025):\n\n\t```\n\tgit clone https://github.com/tensorflow/neural-structured-learning\n\t```\n- [PyPi](https://pypi.org/project/neural-structured-learning) (📥 3.2K / month · 📦 3 · ⏱️ 29.07.2022):\n\t```\n\tpip install neural-structured-learning\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/tensorflow/cloud\">TensorFlow Cloud</a></b> (🥉21 ·  ⭐ 380) - The TensorFlow Cloud repository provides APIs that.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/tensorflow/cloud) (👨‍💻 29 · 🔀 92 · 📋 100 - 73% open · ⏱️ 01.10.2025):\n\n\t```\n\tgit clone https://github.com/tensorflow/cloud\n\t```\n- [PyPi](https://pypi.org/project/tensorflow-cloud) (📥 18K / month · 📦 7 · ⏱️ 17.06.2021):\n\t```\n\tpip install tensorflow-cloud\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/tensorflow/compression\">TF Compression</a></b> (🥉20 ·  ⭐ 900) - Data compression in TensorFlow. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/tensorflow/compression) (👨‍💻 24 · 🔀 260 · 📋 100 - 10% open · ⏱️ 19.08.2025):\n\n\t```\n\tgit clone https://github.com/tensorflow/compression\n\t```\n- [PyPi](https://pypi.org/project/tensorflow-compression) (📥 4.3K / month · 📦 2 · ⏱️ 02.02.2024):\n\t```\n\tpip install tensorflow-compression\n\t```\n</details>\n<details><summary>Show 7 hidden projects...</summary>\n\n- <b><a href=\"https://github.com/tensorflow/tensor2tensor\">tensor2tensor</a></b> (🥇33 ·  ⭐ 17K · 💀) - Library of deep learning models and datasets designed.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/tensorflow/addons\">TF Addons</a></b> (🥈32 ·  ⭐ 1.7K · 💀) - Useful extra functionality for TensorFlow 2.x maintained.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/keras-team/keras-preprocessing\">Keras-Preprocessing</a></b> (🥉28 ·  ⭐ 1K · 💀) - Utilities for working with image data, text data, and.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/qubvel/efficientnet\">efficientnet</a></b> (🥉26 ·  ⭐ 2.1K · 💀) - Implementation of EfficientNet model. Keras and.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/PAIR-code/saliency\">Saliency</a></b> (🥉22 ·  ⭐ 980 · 💀) - Framework-agnostic implementation for state-of-the-art.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/taehoonlee/tensornets\">TensorNets</a></b> (🥉21 ·  ⭐ 1K · 💀) - High level network definitions with pre-trained weights in.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/geffy/tffm\">tffm</a></b> (🥉18 ·  ⭐ 780 · 💀) - TensorFlow implementation of an arbitrary order Factorization Machine. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n</details>\n<br>\n\n## Jax Utilities\n\n<a href=\"#contents\"><img align=\"right\" width=\"15\" height=\"15\" src=\"https://git.io/JtehR\" alt=\"Back to top\"></a>\n\n_Libraries that extend Jax with additional capabilities._\n\n<details><summary><b><a href=\"https://github.com/patrick-kidger/equinox\">equinox</a></b> (🥇33 ·  ⭐ 2.6K) - Elegant easy-to-use neural networks + scientific computing in.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://jax.readthedocs.io/en/latest/_static/favicon.png\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/patrick-kidger/equinox) (👨‍💻 81 · 🔀 170 · 📦 1.4K · 📋 610 - 35% open · ⏱️ 29.10.2025):\n\n\t```\n\tgit clone https://github.com/patrick-kidger/equinox\n\t```\n- [PyPi](https://pypi.org/project/equinox) (📥 500K / month · 📦 350 · ⏱️ 09.10.2025):\n\t```\n\tpip install equinox\n\t```\n</details>\n<details><summary>Show 2 hidden projects...</summary>\n\n- <b><a href=\"https://github.com/google/evojax\">evojax</a></b> (🥉18 ·  ⭐ 920 · 💀) - EvoJAX: Hardware-accelerated Neuroevolution. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://jax.readthedocs.io/en/latest/_static/favicon.png\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/ucl-bug/jaxdf\">jaxdf</a></b> (🥉12 ·  ⭐ 130 · 💀) - A JAX-based research framework for writing differentiable.. <code><a href=\"http://bit.ly/37RvQcA\">❗️LGPL-3.0</a></code> <code><img src=\"https://jax.readthedocs.io/en/latest/_static/favicon.png\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n</details>\n<br>\n\n## Sklearn Utilities\n\n<a href=\"#contents\"><img align=\"right\" width=\"15\" height=\"15\" src=\"https://git.io/JtehR\" alt=\"Back to top\"></a>\n\n_Libraries that extend scikit-learn with additional capabilities._\n\n<details><summary><b><a href=\"https://github.com/uxlfoundation/scikit-learn-intelex\">scikit-learn-intelex</a></b> (🥇35 ·  ⭐ 1.3K) - Extension for Scikit-learn is a seamless way to speed.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/uxlfoundation/scikit-learn-intelex) (👨‍💻 86 · 🔀 180 · 📦 14K · 📋 250 - 15% open · ⏱️ 28.10.2025):\n\n\t```\n\tgit clone https://github.com/intel/scikit-learn-intelex\n\t```\n- [PyPi](https://pypi.org/project/scikit-learn-intelex) (📥 89K / month · 📦 74 · ⏱️ 22.10.2025):\n\t```\n\tpip install scikit-learn-intelex\n\t```\n- [Conda](https://anaconda.org/conda-forge/scikit-learn-intelex) (📥 650K · ⏱️ 30.10.2025):\n\t```\n\tconda install -c conda-forge scikit-learn-intelex\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/scikit-learn-contrib/imbalanced-learn\">imbalanced-learn</a></b> (🥇33 ·  ⭐ 7.1K) - A Python Package to Tackle the Curse of Imbalanced.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/scikit-learn-contrib/imbalanced-learn) (👨‍💻 89 · 🔀 1.3K · 📋 630 - 8% open · ⏱️ 14.08.2025):\n\n\t```\n\tgit clone https://github.com/scikit-learn-contrib/imbalanced-learn\n\t```\n- [PyPi](https://pypi.org/project/imbalanced-learn) (📥 14M / month · 📦 600 · ⏱️ 14.08.2025):\n\t```\n\tpip install imbalanced-learn\n\t```\n- [Conda](https://anaconda.org/conda-forge/imbalanced-learn) (📥 750K · ⏱️ 14.08.2025):\n\t```\n\tconda install -c conda-forge imbalanced-learn\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/rasbt/mlxtend\">MLxtend</a></b> (🥇33 ·  ⭐ 5.1K) - A library of extension and helper modules for Pythons data.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/rasbt/mlxtend) (👨‍💻 110 · 🔀 880 · 📦 21K · 📋 500 - 29% open · ⏱️ 19.06.2025):\n\n\t```\n\tgit clone https://github.com/rasbt/mlxtend\n\t```\n- [PyPi](https://pypi.org/project/mlxtend) (📥 960K / month · 📦 200 · ⏱️ 26.01.2025):\n\t```\n\tpip install mlxtend\n\t```\n- [Conda](https://anaconda.org/conda-forge/mlxtend) (📥 460K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge mlxtend\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/scikit-learn-contrib/category_encoders\">category_encoders</a></b> (🥈31 ·  ⭐ 2.5K · 💤) - A library of sklearn compatible categorical variable.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/scikit-learn-contrib/category_encoders) (👨‍💻 71 · 🔀 400 · 📦 4.1K · 📋 300 - 13% open · ⏱️ 24.03.2025):\n\n\t```\n\tgit clone https://github.com/scikit-learn-contrib/category_encoders\n\t```\n- [PyPi](https://pypi.org/project/category_encoders) (📥 2.1M / month · 📦 310 · ⏱️ 15.03.2025):\n\t```\n\tpip install category_encoders\n\t```\n- [Conda](https://anaconda.org/conda-forge/category_encoders) (📥 370K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge category_encoders\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/koaning/scikit-lego\">scikit-lego</a></b> (🥈28 ·  ⭐ 1.4K) - Extra blocks for scikit-learn pipelines. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/koaning/scikit-lego) (👨‍💻 69 · 🔀 120 · 📦 190 · 📋 340 - 9% open · ⏱️ 21.10.2025):\n\n\t```\n\tgit clone https://github.com/koaning/scikit-lego\n\t```\n- [PyPi](https://pypi.org/project/scikit-lego) (📥 53K / month · 📦 13 · ⏱️ 15.09.2025):\n\t```\n\tpip install scikit-lego\n\t```\n- [Conda](https://anaconda.org/conda-forge/scikit-lego) (📥 76K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge scikit-lego\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/guofei9987/scikit-opt\">scikit-opt</a></b> (🥉26 ·  ⭐ 6.2K) - Genetic Algorithm, Particle Swarm Optimization, Simulated.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/guofei9987/scikit-opt) (👨‍💻 24 · 🔀 1.1K · 📦 280 · 📋 180 - 37% open · ⏱️ 31.08.2025):\n\n\t```\n\tgit clone https://github.com/guofei9987/scikit-opt\n\t```\n- [PyPi](https://pypi.org/project/scikit-opt) (📥 9.1K / month · 📦 15 · ⏱️ 14.01.2022):\n\t```\n\tpip install scikit-opt\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/trent-b/iterative-stratification\">iterative-stratification</a></b> (🥉21 ·  ⭐ 880 · 💤) - scikit-learn cross validators for iterative.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/trent-b/iterative-stratification) (👨‍💻 7 · 🔀 75 · 📦 620 · 📋 27 - 7% open · ⏱️ 12.10.2024):\n\n\t```\n\tgit clone https://github.com/trent-b/iterative-stratification\n\t```\n- [PyPi](https://pypi.org/project/iterative-stratification) (📥 54K / month · 📦 15 · ⏱️ 12.10.2024):\n\t```\n\tpip install iterative-stratification\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/scikit-tda/scikit-tda\">scikit-tda</a></b> (🥉19 ·  ⭐ 550) - Topological Data Analysis for Python. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/scikit-tda/scikit-tda) (👨‍💻 7 · 🔀 54 · 📦 93 · 📋 23 - 17% open · ⏱️ 28.10.2025):\n\n\t```\n\tgit clone https://github.com/scikit-tda/scikit-tda\n\t```\n- [PyPi](https://pypi.org/project/scikit-tda) (📥 1.8K / month · ⏱️ 19.07.2024):\n\t```\n\tpip install scikit-tda\n\t```\n</details>\n<details><summary>Show 11 hidden projects...</summary>\n\n- <b><a href=\"https://github.com/sebp/scikit-survival\">scikit-survival</a></b> (🥈32 ·  ⭐ 1.2K) - Survival analysis built on top of scikit-learn. <code><a href=\"http://bit.ly/2M0xdwT\">❗️GPL-3.0</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/iskandr/fancyimpute\">fancyimpute</a></b> (🥈27 ·  ⭐ 1.3K · 💀) - Multivariate imputation and matrix completion.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/scikit-multilearn/scikit-multilearn\">scikit-multilearn</a></b> (🥈27 ·  ⭐ 950 · 💀) - A scikit-learn based module for multi-label et. al... <code><a href=\"http://bit.ly/3rqEWVr\">BSD-2</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/TeamHG-Memex/sklearn-crfsuite\">sklearn-crfsuite</a></b> (🥉25 ·  ⭐ 430 · 💀) - scikit-learn inspired API for CRFsuite. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/scikit-learn-contrib/skope-rules\">skope-rules</a></b> (🥉22 ·  ⭐ 650 · 💀) - machine learning with logical rules in Python. <code><a href=\"https://tldrlegal.com/search?q=BSD-1-Clause\">❗️BSD-1-Clause</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/yzhao062/combo\">combo</a></b> (🥉21 ·  ⭐ 660 · 💀) - (AAAI 20) A Python Toolbox for Machine Learning Model.. <code><a href=\"http://bit.ly/3rqEWVr\">BSD-2</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code>xgboost</code>\n- <b><a href=\"https://github.com/mathurinm/celer\">celer</a></b> (🥉21 ·  ⭐ 230) - Fast solver for L1-type problems: Lasso, sparse Logisitic regression,.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/scikit-learn-contrib/lightning\">sklearn-contrib-lightning</a></b> (🥉20 ·  ⭐ 1.8K · 💀) - Large-scale linear classification, regression and.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/amueller/dabl\">dabl</a></b> (🥉18 ·  ⭐ 730 · 💀) - Data Analysis Baseline Library. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/scikit-learn-contrib/DESlib\">DESlib</a></b> (🥉18 ·  ⭐ 490 · 💀) - A Python library for dynamic classifier and ensemble selection. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/skggm/skggm\">skggm</a></b> (🥉17 ·  ⭐ 250) - Scikit-learn compatible estimation of general graphical models. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n</details>\n<br>\n\n## Pytorch Utilities\n\n<a href=\"#contents\"><img align=\"right\" width=\"15\" height=\"15\" src=\"https://git.io/JtehR\" alt=\"Back to top\"></a>\n\n_Libraries that extend Pytorch with additional capabilities._\n\n<details><summary><b><a href=\"https://github.com/huggingface/accelerate\">accelerate</a></b> (🥇43 ·  ⭐ 9.2K) - A simple way to launch, train, and use PyTorch models on.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/huggingface/accelerate) (👨‍💻 370 · 🔀 1.2K · 📦 110K · 📋 1.9K - 5% open · ⏱️ 22.10.2025):\n\n\t```\n\tgit clone https://github.com/huggingface/accelerate\n\t```\n- [PyPi](https://pypi.org/project/accelerate) (📥 17M / month · 📦 2.8K · ⏱️ 20.10.2025):\n\t```\n\tpip install accelerate\n\t```\n- [Conda](https://anaconda.org/conda-forge/accelerate) (📥 670K · ⏱️ 24.10.2025):\n\t```\n\tconda install -c conda-forge accelerate\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/tinygrad/tinygrad\">tinygrad</a></b> (🥇33 ·  ⭐ 30K) - You like pytorch? You like micrograd? You love tinygrad!. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/tinygrad/tinygrad) (👨‍💻 420 · 🔀 3.6K · 📦 20 · 📋 1K - 12% open · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https://github.com/geohot/tinygrad\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/KevinMusgrave/pytorch-metric-learning\">PML</a></b> (🥇33 ·  ⭐ 6.2K) - The easiest way to use deep metric learning in your application. Modular,.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/KevinMusgrave/pytorch-metric-learning) (👨‍💻 45 · 🔀 660 · 📦 2.9K · 📋 530 - 14% open · ⏱️ 17.08.2025):\n\n\t```\n\tgit clone https://github.com/KevinMusgrave/pytorch-metric-learning\n\t```\n- [PyPi](https://pypi.org/project/pytorch-metric-learning) (📥 2.3M / month · 📦 68 · ⏱️ 17.08.2025):\n\t```\n\tpip install pytorch-metric-learning\n\t```\n- [Conda](https://anaconda.org/metric-learning/pytorch-metric-learning) (📥 13K · ⏱️ 25.03.2025):\n\t```\n\tconda install -c metric-learning pytorch-metric-learning\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/rtqichen/torchdiffeq\">torchdiffeq</a></b> (🥇31 ·  ⭐ 6.2K) - Differentiable ODE solvers with full GPU support and.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/rtqichen/torchdiffeq) (👨‍💻 23 · 🔀 940 · 📦 5.5K · 📋 230 - 35% open · ⏱️ 04.04.2025):\n\n\t```\n\tgit clone https://github.com/rtqichen/torchdiffeq\n\t```\n- [PyPi](https://pypi.org/project/torchdiffeq) (📥 1M / month · 📦 120 · ⏱️ 21.11.2024):\n\t```\n\tpip install torchdiffeq\n\t```\n- [Conda](https://anaconda.org/conda-forge/torchdiffeq) (📥 24K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge torchdiffeq\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/google-research/torchsde\">torchsde</a></b> (🥈30 ·  ⭐ 1.7K · 💤) - Differentiable SDE solvers with GPU support and efficient.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/google-research/torchsde) (👨‍💻 9 · 🔀 210 · 📦 5.5K · 📋 84 - 36% open · ⏱️ 30.12.2024):\n\n\t```\n\tgit clone https://github.com/google-research/torchsde\n\t```\n- [PyPi](https://pypi.org/project/torchsde) (📥 4.6M / month · 📦 37 · ⏱️ 26.09.2023):\n\t```\n\tpip install torchsde\n\t```\n- [Conda](https://anaconda.org/conda-forge/torchsde) (📥 46K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge torchsde\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/rusty1s/pytorch_scatter\">torch-scatter</a></b> (🥈26 ·  ⭐ 1.7K) - PyTorch Extension Library of Optimized Scatter Operations. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/rusty1s/pytorch_scatter) (👨‍💻 34 · 🔀 200 · 📋 420 - 6% open · ⏱️ 12.08.2025):\n\n\t```\n\tgit clone https://github.com/rusty1s/pytorch_scatter\n\t```\n- [PyPi](https://pypi.org/project/torch-scatter) (📥 82K / month · 📦 150 · ⏱️ 06.10.2023):\n\t```\n\tpip install torch-scatter\n\t```\n- [Conda](https://anaconda.org/conda-forge/pytorch_scatter) (📥 1M · ⏱️ 03.10.2025):\n\t```\n\tconda install -c conda-forge pytorch_scatter\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/rusty1s/pytorch_sparse\">PyTorch Sparse</a></b> (🥈25 ·  ⭐ 1.1K) - PyTorch Extension Library of Optimized Autograd Sparse.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/rusty1s/pytorch_sparse) (👨‍💻 48 · 🔀 160 · 📋 300 - 10% open · ⏱️ 12.08.2025):\n\n\t```\n\tgit clone https://github.com/rusty1s/pytorch_sparse\n\t```\n- [PyPi](https://pypi.org/project/torch-sparse) (📥 63K / month · 📦 120 · ⏱️ 06.10.2023):\n\t```\n\tpip install torch-sparse\n\t```\n- [Conda](https://anaconda.org/conda-forge/pytorch_sparse) (📥 940K · ⏱️ 03.10.2025):\n\t```\n\tconda install -c conda-forge pytorch_sparse\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/BloodAxe/pytorch-toolbelt\">Pytorch Toolbelt</a></b> (🥉24 ·  ⭐ 1.6K) - PyTorch extensions for fast R&D prototyping and Kaggle.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/BloodAxe/pytorch-toolbelt) (👨‍💻 9 · 🔀 120 · 📥 180 · 📋 33 - 12% open · ⏱️ 09.10.2025):\n\n\t```\n\tgit clone https://github.com/BloodAxe/pytorch-toolbelt\n\t```\n- [PyPi](https://pypi.org/project/pytorch_toolbelt) (📥 8.3K / month · 📦 12 · ⏱️ 21.11.2024):\n\t```\n\tpip install pytorch_toolbelt\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/facebookresearch/madgrad\">madgrad</a></b> (🥉18 ·  ⭐ 800 · 💤) - MADGRAD Optimization Method. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/facebookresearch/madgrad) (👨‍💻 3 · 🔀 58 · 📦 110 · ⏱️ 27.01.2025):\n\n\t```\n\tgit clone https://github.com/facebookresearch/madgrad\n\t```\n- [PyPi](https://pypi.org/project/madgrad) (📥 9.7K / month · 📦 1 · ⏱️ 08.03.2022):\n\t```\n\tpip install madgrad\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/szagoruyko/pytorchviz\">pytorchviz</a></b> (🥉14 ·  ⭐ 3.4K · 💤) - A small package to create visualizations of PyTorch execution.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/szagoruyko/pytorchviz) (👨‍💻 6 · 🔀 280 · 📋 72 - 47% open · ⏱️ 30.12.2024):\n\n\t```\n\tgit clone https://github.com/szagoruyko/pytorchviz\n\t```\n</details>\n<details><summary>Show 22 hidden projects...</summary>\n\n- <b><a href=\"https://github.com/Cadene/pretrained-models.pytorch\">pretrainedmodels</a></b> (🥈29 ·  ⭐ 9.1K · 💀) - Pretrained ConvNets for pytorch: NASNet, ResNeXt,.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/lukemelas/EfficientNet-PyTorch\">EfficientNet-PyTorch</a></b> (🥈28 ·  ⭐ 8.2K · 💀) - A PyTorch implementation of EfficientNet. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/Lightning-Universe/lightning-flash\">lightning-flash</a></b> (🥈27 ·  ⭐ 1.7K · 💀) - Your PyTorch AI Factory - Flash enables you to easily.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/jettify/pytorch-optimizer\">pytorch-optimizer</a></b> (🥈26 ·  ⭐ 3.1K · 💀) - torch-optimizer -- collection of optimizers for.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/dreamquark-ai/tabnet\">TabNet</a></b> (🥈26 ·  ⭐ 2.9K · 💀) - PyTorch implementation of TabNet paper :.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/rwightman/gen-efficientnet-pytorch\">EfficientNets</a></b> (🥈25 ·  ⭐ 1.6K · 💀) - Pretrained EfficientNet, EfficientNet-Lite, MixNet,.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/sksq96/pytorch-summary\">pytorch-summary</a></b> (🥉24 ·  ⭐ 4.1K · 💀) - Model summary in PyTorch similar to `model.summary()`.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/facebookresearch/higher\">Higher</a></b> (🥉23 ·  ⭐ 1.6K · 💀) - higher is a pytorch library allowing users to obtain higher.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/karpathy/micrograd\">micrograd</a></b> (🥉22 ·  ⭐ 14K · 💀) - A tiny scalar-valued autograd engine and a neural net library.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/asappresearch/sru\">SRU</a></b> (🥉22 ·  ⭐ 2.1K · 💀) - Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755). <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/adobe/antialiased-cnns\">Antialiased CNNs</a></b> (🥉22 ·  ⭐ 1.7K · 💀) - pip install antialiased-cnns to improve stability and.. <code><a href=\"https://tldrlegal.com/search?q=CC%20BY-NC-SA%204.0\">❗️CC BY-NC-SA 4.0</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/Luolc/AdaBound\">AdaBound</a></b> (🥉21 ·  ⭐ 2.9K · 💀) - An optimizer that trains as fast as Adam and as good as SGD. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/lucidrains/reformer-pytorch\">reformer-pytorch</a></b> (🥉21 ·  ⭐ 2.2K · 💀) - Reformer, the efficient Transformer, in Pytorch. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/tristandeleu/pytorch-meta\">Torchmeta</a></b> (🥉21 ·  ⭐ 2K · 💀) - A collection of extensions and data-loaders for few-shot.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/GRAAL-Research/poutyne\">Poutyne</a></b> (🥉21 ·  ⭐ 580) - A simplified framework and utilities for PyTorch. <code><a href=\"http://bit.ly/37RvQcA\">❗️LGPL-3.0</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/lucidrains/performer-pytorch\">Performer Pytorch</a></b> (🥉19 ·  ⭐ 1.2K · 💀) - An implementation of Performer, a linear attention-.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/harvardnlp/pytorch-struct\">Torch-Struct</a></b> (🥉19 ·  ⭐ 1.1K · 💀) - Fast, general, and tested differentiable structured.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/lucidrains/lambda-networks\">Lambda Networks</a></b> (🥉17 ·  ⭐ 1.5K · 💀) - Implementation of LambdaNetworks, a new approach to.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/achaiah/pywick\">Pywick</a></b> (🥉17 ·  ⭐ 400 · 💀) - High-level batteries-included neural network training library for.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/TorchDrift/TorchDrift\">TorchDrift</a></b> (🥉15 ·  ⭐ 320 · 💀) - Drift Detection for your PyTorch Models. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/abhishekkrthakur/tez\">Tez</a></b> (🥉14 ·  ⭐ 1.2K · 💀) - Tez is a super-simple and lightweight Trainer for PyTorch. It.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/parrt/tensor-sensor\">Tensor Sensor</a></b> (🥉14 ·  ⭐ 810 · 💀) - The goal of this library is to generate more helpful.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n</details>\n<br>\n\n## Database Clients\n\n<a href=\"#contents\"><img align=\"right\" width=\"15\" height=\"15\" src=\"https://git.io/JtehR\" alt=\"Back to top\"></a>\n\n_Libraries for connecting to, operating, and querying databases._\n\n🔗&nbsp;<b><a href=\"https://github.com/ml-tooling/best-of-python#database-clients\">best-of-python - DB Clients</a></b> ( ⭐ 4.2K)  - Collection of database clients for python.\n\n<br>\n\n## Others\n\n<a href=\"#contents\"><img align=\"right\" width=\"15\" height=\"15\" src=\"https://git.io/JtehR\" alt=\"Back to top\"></a>\n\n<details><summary><b><a href=\"https://github.com/scipy/scipy\">scipy</a></b> (🥇51 ·  ⭐ 14K) - Ecosystem of open-source software for mathematics, science, and engineering. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code></summary>\n\n- [GitHub](https://github.com/scipy/scipy) (👨‍💻 1.8K · 🔀 5.5K · 📥 97K · 📦 1.4M · 📋 11K - 15% open · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https://github.com/scipy/scipy\n\t```\n- [PyPi](https://pypi.org/project/scipy) (📥 220M / month · 📦 61K · ⏱️ 28.10.2025):\n\t```\n\tpip install scipy\n\t```\n- [Conda](https://anaconda.org/conda-forge/scipy) (📥 70M · ⏱️ 29.10.2025):\n\t```\n\tconda install -c conda-forge scipy\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/sympy/sympy\">SymPy</a></b> (🥇49 ·  ⭐ 14K) - A computer algebra system written in pure Python. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code></summary>\n\n- [GitHub](https://github.com/sympy/sympy) (👨‍💻 1.4K · 🔀 4.8K · 📥 570K · 📦 290K · 📋 15K - 37% open · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https://github.com/sympy/sympy\n\t```\n- [PyPi](https://pypi.org/project/sympy) (📥 73M / month · 📦 4.6K · ⏱️ 27.04.2025):\n\t```\n\tpip install sympy\n\t```\n- [Conda](https://anaconda.org/conda-forge/sympy) (📥 11M · ⏱️ 29.04.2025):\n\t```\n\tconda install -c conda-forge sympy\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/streamlit/streamlit\">Streamlit</a></b> (🥇47 ·  ⭐ 42K) - Streamlit A faster way to build and share data apps. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/streamlit/streamlit) (👨‍💻 570 · 🔀 3.8K · 📦 1M · 📋 5.7K - 23% open · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https://github.com/streamlit/streamlit\n\t```\n- [PyPi](https://pypi.org/project/streamlit) (📥 19M / month · 📦 4.6K · ⏱️ 29.10.2025):\n\t```\n\tpip install streamlit\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/gradio-app/gradio\">Gradio</a></b> (🥇46 ·  ⭐ 40K) - Wrap UIs around any model, share with anyone. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/gradio-app/gradio) (👨‍💻 700 · 🔀 3.1K · 📦 84K · 📋 6.1K - 6% open · ⏱️ 29.10.2025):\n\n\t```\n\tgit clone https://github.com/gradio-app/gradio\n\t```\n- [PyPi](https://pypi.org/project/gradio) (📥 11M / month · 📦 1.6K · ⏱️ 22.10.2025):\n\t```\n\tpip install gradio\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/carla-simulator/carla\">carla</a></b> (🥇37 ·  ⭐ 13K) - Open-source simulator for autonomous driving research. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/carla-simulator/carla) (👨‍💻 190 · 🔀 4.2K · 📦 1.1K · 📋 6.2K - 18% open · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https://github.com/carla-simulator/carla\n\t```\n- [PyPi](https://pypi.org/project/carla) (📥 18K / month · 📦 16 · ⏱️ 14.09.2025):\n\t```\n\tpip install carla\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/HIPS/autograd\">Autograd</a></b> (🥇37 ·  ⭐ 7.4K) - Efficiently computes derivatives of NumPy code. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/HIPS/autograd) (👨‍💻 64 · 🔀 910 · 📦 14K · 📋 440 - 42% open · ⏱️ 27.10.2025):\n\n\t```\n\tgit clone https://github.com/HIPS/autograd\n\t```\n- [PyPi](https://pypi.org/project/autograd) (📥 3.4M / month · 📦 310 · ⏱️ 05.05.2025):\n\t```\n\tpip install autograd\n\t```\n- [Conda](https://anaconda.org/conda-forge/autograd) (📥 680K · ⏱️ 05.05.2025):\n\t```\n\tconda install -c conda-forge autograd\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/PennyLaneAI/pennylane\">PennyLane</a></b> (🥇37 ·  ⭐ 2.9K) - PennyLane is a cross-platform Python library for quantum.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/PennyLaneAI/pennylane) (👨‍💻 210 · 🔀 700 · 📥 100 · 📦 1.9K · 📋 1.7K - 25% open · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https://github.com/PennyLaneAI/PennyLane\n\t```\n- [PyPi](https://pypi.org/project/pennylane) (📥 200K / month · 📦 89 · ⏱️ 15.10.2025):\n\t```\n\tpip install pennylane\n\t```\n- [Conda](https://anaconda.org/conda-forge/pennylane) (📥 340K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge pennylane\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/yzhao062/pyod\">PyOD</a></b> (🥈36 ·  ⭐ 9.6K) - A Python Library for Outlier and Anomaly Detection, Integrating Classical.. <code><a href=\"http://bit.ly/3rqEWVr\">BSD-2</a></code></summary>\n\n- [GitHub](https://github.com/yzhao062/pyod) (👨‍💻 64 · 🔀 1.4K · 📦 5.5K · 📋 390 - 59% open · ⏱️ 29.04.2025):\n\n\t```\n\tgit clone https://github.com/yzhao062/pyod\n\t```\n- [PyPi](https://pypi.org/project/pyod) (📥 840K / month · 📦 130 · ⏱️ 29.04.2025):\n\t```\n\tpip install pyod\n\t```\n- [Conda](https://anaconda.org/conda-forge/pyod) (📥 170K · ⏱️ 30.04.2025):\n\t```\n\tconda install -c conda-forge pyod\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/simonw/datasette\">Datasette</a></b> (🥈35 ·  ⭐ 10K) - An open source multi-tool for exploring and publishing data. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/simonw/datasette) (👨‍💻 82 · 🔀 770 · 📥 75 · 📦 1.6K · 📋 1.9K - 32% open · ⏱️ 26.10.2025):\n\n\t```\n\tgit clone https://github.com/simonw/datasette\n\t```\n- [PyPi](https://pypi.org/project/datasette) (📥 180K / month · 📦 480 · ⏱️ 22.04.2025):\n\t```\n\tpip install datasette\n\t```\n- [Conda](https://anaconda.org/conda-forge/datasette) (📥 73K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge datasette\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/deepchem/deepchem\">DeepChem</a></b> (🥈34 ·  ⭐ 6.3K · 📉) - Democratizing Deep-Learning for Drug Discovery, Quantum.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/deepchem/deepchem) (👨‍💻 260 · 🔀 1.9K · 📦 650 · 📋 2.1K - 40% open · ⏱️ 27.10.2025):\n\n\t```\n\tgit clone https://github.com/deepchem/deepchem\n\t```\n- [PyPi](https://pypi.org/project/deepchem) (📥 54K / month · 📦 24 · ⏱️ 27.10.2025):\n\t```\n\tpip install deepchem\n\t```\n- [Conda](https://anaconda.org/conda-forge/deepchem) (📥 120K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge deepchem\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/serge-sans-paille/pythran\">Pythran</a></b> (🥈34 ·  ⭐ 2.1K) - Ahead of Time compiler for numeric kernels. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code></summary>\n\n- [GitHub](https://github.com/serge-sans-paille/pythran) (👨‍💻 75 · 🔀 200 · 📦 3.6K · 📋 930 - 15% open · ⏱️ 30.09.2025):\n\n\t```\n\tgit clone https://github.com/serge-sans-paille/pythran\n\t```\n- [PyPi](https://pypi.org/project/pythran) (📥 500K / month · 📦 28 · ⏱️ 23.05.2025):\n\t```\n\tpip install pythran\n\t```\n- [Conda](https://anaconda.org/conda-forge/pythran) (📥 1.3M · ⏱️ 07.07.2025):\n\t```\n\tconda install -c conda-forge pythran\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/wireservice/agate\">agate</a></b> (🥈34 ·  ⭐ 1.2K) - A Python data analysis library that is optimized for humans instead of.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/wireservice/agate) (👨‍💻 55 · 🔀 150 · 📦 5.3K · 📋 650 - 0% open · ⏱️ 27.10.2025):\n\n\t```\n\tgit clone https://github.com/wireservice/agate\n\t```\n- [PyPi](https://pypi.org/project/agate) (📥 24M / month · 📦 54 · ⏱️ 29.01.2025):\n\t```\n\tpip install agate\n\t```\n- [Conda](https://anaconda.org/conda-forge/agate) (📥 410K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge agate\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/online-ml/river\">River</a></b> (🥈32 ·  ⭐ 5.6K) - Online machine learning in Python. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code></summary>\n\n- [GitHub](https://github.com/online-ml/river) (👨‍💻 130 · 🔀 590 · 📦 800 · 📋 630 - 19% open · ⏱️ 05.10.2025):\n\n\t```\n\tgit clone https://github.com/online-ml/river\n\t```\n- [PyPi](https://pypi.org/project/river) (📥 91K / month · 📦 64 · ⏱️ 25.11.2024):\n\t```\n\tpip install river\n\t```\n- [Conda](https://anaconda.org/conda-forge/river) (📥 130K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge river\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/scikit-learn-contrib/hdbscan\">hdbscan</a></b> (🥈32 ·  ⭐ 3K) - A high performance implementation of HDBSCAN clustering. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (👨‍💻 97 · 🔀 500 · 📦 7.6K · 📋 530 - 67% open · ⏱️ 11.10.2025):\n\n\t```\n\tgit clone https://github.com/scikit-learn-contrib/hdbscan\n\t```\n- [PyPi](https://pypi.org/project/hdbscan) (📥 1.1M / month · 📦 350 · ⏱️ 18.11.2024):\n\t```\n\tpip install hdbscan\n\t```\n- [Conda](https://anaconda.org/conda-forge/hdbscan) (📥 2.8M · ⏱️ 09.09.2025):\n\t```\n\tconda install -c conda-forge hdbscan\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/open-edge-platform/anomalib\">anomalib</a></b> (🥈31 ·  ⭐ 5.1K · 📉) - An anomaly detection library comprising state-of-the-art.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/open-edge-platform/anomalib) (👨‍💻 98 · 🔀 820 · 📥 42K · 📦 200 · 📋 1.2K - 6% open · ⏱️ 27.10.2025):\n\n\t```\n\tgit clone https://github.com/openvinotoolkit/anomalib\n\t```\n- [PyPi](https://pypi.org/project/anomalib) (📥 200K / month · 📦 7 · ⏱️ 09.10.2025):\n\t```\n\tpip install anomalib\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/pyjanitor-devs/pyjanitor\">pyjanitor</a></b> (🥈31 ·  ⭐ 1.5K) - Clean APIs for data cleaning. Python implementation of R package.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (👨‍💻 110 · 🔀 170 · 📦 980 · 📋 590 - 18% open · ⏱️ 21.10.2025):\n\n\t```\n\tgit clone https://github.com/pyjanitor-devs/pyjanitor\n\t```\n- [PyPi](https://pypi.org/project/pyjanitor) (📥 280K / month · 📦 42 · ⏱️ 07.03.2025):\n\t```\n\tpip install pyjanitor\n\t```\n- [Conda](https://anaconda.org/conda-forge/pyjanitor) (📥 300K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge pyjanitor\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/uber/causalml\">causalml</a></b> (🥈30 ·  ⭐ 5.6K) - Uplift modeling and causal inference with machine learning.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/uber/causalml) (👨‍💻 71 · 🔀 830 · 📦 310 · 📋 420 - 10% open · ⏱️ 26.09.2025):\n\n\t```\n\tgit clone https://github.com/uber/causalml\n\t```\n- [PyPi](https://pypi.org/project/causalml) (📥 79K / month · 📦 10 · ⏱️ 09.07.2025):\n\t```\n\tpip install causalml\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/dstackai/dstack\">dstack</a></b> (🥈30 ·  ⭐ 1.9K) - dstack is an open-source control plane for running development,.. <code><a href=\"http://bit.ly/3postzC\">MPL-2.0</a></code></summary>\n\n- [GitHub](https://github.com/dstackai/dstack) (👨‍💻 63 · 🔀 200 · 📦 22 · 📋 1.5K - 6% open · ⏱️ 30.10.2025):\n\n\t```\n\tgit clone https://github.com/dstackai/dstack\n\t```\n- [PyPi](https://pypi.org/project/dstack) (📥 4.2K / month · ⏱️ 30.10.2025):\n\t```\n\tpip install dstack\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/tensorly/tensorly\">tensorly</a></b> (🥈30 ·  ⭐ 1.6K) - TensorLy: Tensor Learning in Python. <code><a href=\"http://bit.ly/3rqEWVr\">BSD-2</a></code></summary>\n\n- [GitHub](https://github.com/tensorly/tensorly) (👨‍💻 73 · 🔀 290 · 📦 1.1K · 📋 280 - 22% open · ⏱️ 05.05.2025):\n\n\t```\n\tgit clone https://github.com/tensorly/tensorly\n\t```\n- [PyPi](https://pypi.org/project/tensorly) (📥 130K / month · 📦 99 · ⏱️ 12.11.2024):\n\t```\n\tpip install tensorly\n\t```\n- [Conda](https://anaconda.org/conda-forge/tensorly) (📥 380K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge tensorly\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/dbt-labs/metricflow\">metricflow</a></b> (🥈29 ·  ⭐ 1.3K) - MetricFlow allows you to define, build, and maintain metrics in.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/dbt-labs/metricflow) (👨‍💻 52 · 🔀 130 · 📦 37 · 📋 370 - 27% open · ⏱️ 29.10.2025):\n\n\t```\n\tgit clone https://github.com/transform-data/metricflow\n\t```\n- [PyPi](https://pypi.org/project/metricflow) (📥 94K / month · 📦 4 · ⏱️ 14.10.2025):\n\t```\n\tpip install metricflow\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/sepandhaghighi/pycm\">pycm</a></b> (🥈28 ·  ⭐ 1.5K) - Multi-class confusion matrix library in Python. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/sepandhaghighi/pycm) (👨‍💻 18 · 🔀 120 · 📦 420 · 📋 210 - 7% open · ⏱️ 14.10.2025):\n\n\t```\n\tgit clone https://github.com/sepandhaghighi/pycm\n\t```\n- [PyPi](https://pypi.org/project/pycm) (📥 190K / month · 📦 28 · ⏱️ 15.10.2025):\n\t```\n\tpip install pycm\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/MaxHalford/prince\">Prince</a></b> (🥈28 ·  ⭐ 1.4K) - Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA,.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/MaxHalford/prince) (👨‍💻 16 · 🔀 190 · 📦 770 · ⏱️ 04.08.2025):\n\n\t```\n\tgit clone https://github.com/MaxHalford/prince\n\t```\n- [PyPi](https://pypi.org/project/prince) (📥 230K / month · 📦 23 · ⏱️ 04.08.2025):\n\t```\n\tpip install prince\n\t```\n- [Conda](https://anaconda.org/conda-forge/prince-factor-analysis) (📥 28K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge prince-factor-analysis\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/google/trax\">Trax</a></b> (🥉27 ·  ⭐ 8.3K) - Trax Deep Learning with Clear Code and Speed. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/google/trax) (👨‍💻 82 · 🔀 830 · 📦 230 · 📋 250 - 50% open · ⏱️ 26.09.2025):\n\n\t```\n\tgit clone https://github.com/google/trax\n\t```\n- [PyPi](https://pypi.org/project/trax) (📥 4.3K / month · 📦 1 · ⏱️ 26.10.2021):\n\t```\n\tpip install trax\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/adapter-hub/adapters\">adapter-transformers</a></b> (🥉27 ·  ⭐ 2.8K) - A Unified Library for Parameter-Efficient and Modular.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code>huggingface</code></summary>\n\n- [GitHub](https://github.com/adapter-hub/adapters) (👨‍💻 17 · 🔀 360 · 📦 260 · 📋 410 - 10% open · ⏱️ 12.10.2025):\n\n\t```\n\tgit clone https://github.com/Adapter-Hub/adapter-transformers\n\t```\n- [PyPi](https://pypi.org/project/adapter-transformers) (📥 4.9K / month · 📦 12 · ⏱️ 07.07.2024):\n\t```\n\tpip install adapter-transformers\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/facebookresearch/AugLy\">AugLy</a></b> (🥉26 ·  ⭐ 5.1K) - A data augmentations library for audio, image, text, and video. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/facebookresearch/AugLy) (👨‍💻 42 · 🔀 310 · 📦 180 · 📋 80 - 30% open · ⏱️ 27.10.2025):\n\n\t```\n\tgit clone https://github.com/facebookresearch/AugLy\n\t```\n- [PyPi](https://pypi.org/project/augly) (📥 13K / month · 📦 4 · ⏱️ 05.12.2023):\n\t```\n\tpip install augly\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/ContinualAI/avalanche\">avalanche</a></b> (🥉26 ·  ⭐ 2K · 💤) - Avalanche: an End-to-End Library for Continual Learning based on.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/ContinualAI/avalanche) (👨‍💻 87 · 🔀 310 · 📥 60 · 📦 140 · 📋 840 - 13% open · ⏱️ 11.03.2025):\n\n\t```\n\tgit clone https://github.com/ContinualAI/avalanche\n\t```\n- [PyPi](https://pypi.org/project/avalanche-lib) (📥 3.2K / month · 📦 3 · ⏱️ 29.10.2024):\n\t```\n\tpip install avalanche-lib\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/trevorstephens/gplearn\">gplearn</a></b> (🥉26 ·  ⭐ 1.8K) - Genetic Programming in Python, with a scikit-learn inspired API. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/trevorstephens/gplearn) (👨‍💻 12 · 🔀 300 · 📦 730 · 📋 220 - 11% open · ⏱️ 23.07.2025):\n\n\t```\n\tgit clone https://github.com/trevorstephens/gplearn\n\t```\n- [PyPi](https://pypi.org/project/gplearn) (📥 20K / month · 📦 19 · ⏱️ 03.05.2022):\n\t```\n\tpip install gplearn\n\t```\n- [Conda](https://anaconda.org/conda-forge/gplearn) (📥 11K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge gplearn\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/tableau/TabPy\">TabPy</a></b> (🥉26 ·  ⭐ 1.6K · 💤) - Execute Python code on the fly and display results in Tableau.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/tableau/TabPy) (👨‍💻 51 · 🔀 600 · 📦 220 · 📋 320 - 6% open · ⏱️ 25.11.2024):\n\n\t```\n\tgit clone https://github.com/tableau/TabPy\n\t```\n- [PyPi](https://pypi.org/project/tabpy) (📥 7.1K / month · 📦 2 · ⏱️ 25.11.2024):\n\t```\n\tpip install tabpy\n\t```\n- [Conda](https://anaconda.org/anaconda/tabpy-client) (📥 5.8K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c anaconda tabpy-client\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/minrk/findspark\">findspark</a></b> (🥉25 ·  ⭐ 520) - Find pyspark to make it importable. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1N\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/minrk/findspark) (👨‍💻 16 · 🔀 72 · 📦 5.6K · 📋 23 - 47% open · ⏱️ 04.09.2025):\n\n\t```\n\tgit clone https://github.com/minrk/findspark\n\t```\n- [PyPi](https://pypi.org/project/findspark) (📥 2.6M / month · 📦 100 · ⏱️ 11.02.2022):\n\t```\n\tpip install findspark\n\t```\n- [Conda](https://anaconda.org/conda-forge/findspark) (📥 1M · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge findspark\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/vecxoz/vecstack\">vecstack</a></b> (🥉23 ·  ⭐ 700) - Python package for stacking (machine learning technique). <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/vecxoz/vecstack) (👨‍💻 1 · 🔀 82 · 📦 570 · ⏱️ 28.09.2025):\n\n\t```\n\tgit clone https://github.com/vecxoz/vecstack\n\t```\n- [PyPi](https://pypi.org/project/vecstack) (📥 1.8K / month · 📦 5 · ⏱️ 28.09.2025):\n\t```\n\tpip install vecstack\n\t```\n- [Conda](https://anaconda.org/conda-forge/vecstack) (📥 3K · ⏱️ 22.04.2025):\n\t```\n\tconda install -c conda-forge vecstack\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/Project-MONAI/MONAILabel\">MONAILabel</a></b> (🥉22 ·  ⭐ 760) - MONAI Label is an intelligent open source image labeling and.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code></summary>\n\n- [GitHub](https://github.com/Project-MONAI/MONAILabel) (👨‍💻 69 · 🔀 240 · 📥 130K · 📋 560 - 26% open · ⏱️ 14.08.2025):\n\n\t```\n\tgit clone https://github.com/Project-MONAI/MONAILabel\n\t```\n- [PyPi](https://pypi.org/project/monailabel-weekly) (📥 200 / month · ⏱️ 01.10.2023):\n\t```\n\tpip install monailabel-weekly\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/jmschrei/apricot\">apricot</a></b> (🥉22 ·  ⭐ 520) - apricot implements submodular optimization for the purpose of selecting.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/jmschrei/apricot) (👨‍💻 4 · 🔀 49 · 📥 33 · 📦 200 · 📋 34 - 38% open · ⏱️ 09.06.2025):\n\n\t```\n\tgit clone https://github.com/jmschrei/apricot\n\t```\n- [PyPi](https://pypi.org/project/apricot-select) (📥 13K / month · 📦 16 · ⏱️ 18.02.2021):\n\t```\n\tpip install apricot-select\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/pykale/pykale\">pykale</a></b> (🥉21 ·  ⭐ 470) - Knowledge-Aware machine LEarning (KALE): accessible machine learning.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></summary>\n\n- [GitHub](https://github.com/pykale/pykale) (👨‍💻 28 · 🔀 70 · 📦 6 · 📋 140 - 8% open · ⏱️ 14.10.2025):\n\n\t```\n\tgit clone https://github.com/pykale/pykale\n\t```\n- [PyPi](https://pypi.org/project/pykale) (📥 72 / month · ⏱️ 12.04.2022):\n\t```\n\tpip install pykale\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/yzhao062/SUOD\">SUOD</a></b> (🥉21 ·  ⭐ 390 · 💤) - (MLSys 21) An Acceleration System for Large-scare Unsupervised.. <code><a href=\"http://bit.ly/3rqEWVr\">BSD-2</a></code></summary>\n\n- [GitHub](https://github.com/yzhao062/SUOD) (👨‍💻 3 · 🔀 49 · 📦 560 · 📋 15 - 80% open · ⏱️ 24.03.2025):\n\n\t```\n\tgit clone https://github.com/yzhao062/SUOD\n\t```\n- [PyPi](https://pypi.org/project/suod) (📥 13K / month · 📦 9 · ⏱️ 24.03.2025):\n\t```\n\tpip install suod\n\t```\n</details>\n<details><summary><b><a href=\"https://github.com/infer-actively/pymdp\">pymdp</a></b> (🥉16 ·  ⭐ 570) - A Python implementation of active inference for Markov Decision Processes. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code></summary>\n\n- [GitHub](https://github.com/infer-actively/pymdp) (👨‍💻 19 · 🔀 110 · 📋 130 - 39% open · ⏱️ 09.09.2025):\n\n\t```\n\tgit clone https://github.com/infer-actively/pymdp\n\t```\n- [PyPi](https://pypi.org/project/inferactively-pymdp) (📥 1.1K / month · ⏱️ 08.12.2022):\n\t```\n\tpip install inferactively-pymdp\n\t```\n</details>\n<details><summary>Show 31 hidden projects...</summary>\n\n- <b><a href=\"https://github.com/inducer/pyopencl\">pyopencl</a></b> (🥈31 ·  ⭐ 1.1K) - OpenCL integration for Python, plus shiny features. <code>❗Unlicensed</code>\n- <b><a href=\"https://github.com/google-deepmind/pysc2\">pysc2</a></b> (🥈30 ·  ⭐ 8.2K · 💀) - StarCraft II Learning Environment. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/modAL-python/modAL\">modAL</a></b> (🥈30 ·  ⭐ 2.3K · 💀) - A modular active learning framework for Python. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/datalad/datalad\">datalad</a></b> (🥈30 ·  ⭐ 620 · 📈) - Keep code, data, containers under control with git and git-.. <code>❗Unlicensed</code>\n- <b><a href=\"https://github.com/cleanlab/cleanlab\">cleanlab</a></b> (🥈29 ·  ⭐ 11K) - Cleanlabs open-source library is the standard data-centric AI.. <code><a href=\"http://bit.ly/3pwmjO5\">❗️AGPL-3.0</a></code>\n- <b><a href=\"https://github.com/SeldonIO/alibi-detect\">alibi-detect</a></b> (🥈29 ·  ⭐ 2.4K) - Algorithms for outlier, adversarial and drift detection. <code><a href=\"https://tldrlegal.com/search?q=Intel\">❗️Intel</a></code>\n- <b><a href=\"https://github.com/JustGlowing/minisom\">minisom</a></b> (🥈28 ·  ⭐ 1.6K) - MiniSom is a minimalistic implementation of the Self Organizing.. <code><a href=\"https://tldrlegal.com/search?q=CC-BY-3.0\">❗️CC-BY-3.0</a></code>\n- <b><a href=\"https://github.com/ljvmiranda921/pyswarms\">PySwarms</a></b> (🥈28 ·  ⭐ 1.4K · 💀) - A research toolkit for particle swarm optimization in Python. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/nicodv/kmodes\">kmodes</a></b> (🥈28 ·  ⭐ 1.3K · 💀) - Python implementations of the k-modes and k-prototypes clustering.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/annoviko/pyclustering\">pyclustering</a></b> (🥈28 ·  ⭐ 1.2K · 💀) - pyclustering is a Python, C++ data mining library. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/explosion/cython-blis\">Cython BLIS</a></b> (🥈28 ·  ⭐ 230) - Fast matrix-multiplication as a self-contained Python library no.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/solegalli/feature_engine\">Feature Engine</a></b> (🥉26 ·  ⭐ 2.1K · 💀) - Feature engineering package with sklearn like functionality. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/scikit-learn-contrib/metric-learn\">metric-learn</a></b> (🥉26 ·  ⭐ 1.4K · 💀) - Metric learning algorithms in Python. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/sinaptik-ai/pandas-ai\">pandas-ai</a></b> (🥉25 ·  ⭐ 22K) - Chat with your database or your datalake (SQL, CSV, parquet)... <code>❗Unlicensed</code>\n- <b><a href=\"https://github.com/mars-project/mars\">Mars</a></b> (🥉24 ·  ⭐ 2.7K · 💀) - Mars is a tensor-based unified framework for large-scale data.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/astroML/astroML\">AstroML</a></b> (🥉24 ·  ⭐ 1.1K · 💀) - Machine learning, statistics, and data mining for astronomy.. <code><a href=\"http://bit.ly/3rqEWVr\">BSD-2</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/PaddlePaddle/PaddleHub\">PaddleHub</a></b> (🥉22 ·  ⭐ 13K · 💀) - 400+ AI Models: Rich, high-quality AI models, including.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1M\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/ml-tooling/opyrator\">opyrator</a></b> (🥉22 ·  ⭐ 3.1K · 💀) - Turns your machine learning code into microservices with web API,.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/flennerhag/mlens\">mlens</a></b> (🥉22 ·  ⭐ 860 · 💀) - ML-Ensemble high performance ensemble learning. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/BioPandas/biopandas\">BioPandas</a></b> (🥉22 ·  ⭐ 740 · 💀) - Working with molecular structures in pandas DataFrames. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1S\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/clementchadebec/benchmark_VAE\">benchmark_VAE</a></b> (🥉21 ·  ⭐ 2K · 💀) - Unifying Variational Autoencoder (VAE).. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/eltonlaw/impyute\">impyute</a></b> (🥉21 ·  ⭐ 360 · 💀) - Data imputations library to preprocess datasets with missing data. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/airbnb/streamalert\">StreamAlert</a></b> (🥉20 ·  ⭐ 2.9K · 💀) - StreamAlert is a serverless, realtime data analysis.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/kLabUM/rrcf\">rrcf</a></b> (🥉20 ·  ⭐ 520 · 💀) - Implementation of the Robust Random Cut Forest algorithm for anomaly.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/EpistasisLab/scikit-rebate\">scikit-rebate</a></b> (🥉20 ·  ⭐ 420 · 💀) - A scikit-learn-compatible Python implementation of.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/alegonz/baikal\">baikal</a></b> (🥉18 ·  ⭐ 590 · 💀) - A graph-based functional API for building complex scikit-learn.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/pandas-ml/pandas-ml\">pandas-ml</a></b> (🥉16 ·  ⭐ 320 · 💀) - pandas, scikit-learn, xgboost and seaborn integration. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code><img src=\"https://git.io/JLy1S\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/SforAiDl/KD_Lib\">KD-Lib</a></b> (🥉15 ·  ⭐ 650 · 💀) - A Pytorch Knowledge Distillation library for benchmarking and.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/facebookresearch/NeuralCompression\">NeuralCompression</a></b> (🥉14 ·  ⭐ 580 · 💀) - A collection of tools for neural compression enthusiasts. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/jrieke/traingenerator\">traingenerator</a></b> (🥉13 ·  ⭐ 1.4K · 💀) - A web app to generate template code for machine learning. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/Palashio/nylon\">nylon</a></b> (🥉12 ·  ⭐ 82 · 💀) - An intelligent, flexible grammar of machine learning. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n</details>\n\n---\n\n## Related Resources\n\n- [**Papers With Code**](https://paperswithcode.com): Discover ML papers, code, and evaluation tables.\n- [**Sotabench**](https://sotabench.com): Discover & compare open-source ML models.\n- [**Google Dataset Search**](https://toolbox.google.com/datasetsearch): Dataset search engine by Google.\n- [**Dataset List**](https://www.datasetlist.com/): List of the biggest ML datasets from across the web.\n- [**Awesome Public Datasets**](https://github.com/awesomedata/awesome-public-datasets): A topic-centric list of open datasets.\n- [**Best-of lists**](https://best-of.org): Discover other best-of lists with awesome open-source projects on all kinds of topics.\n- [**best-of-python-dev**](https://github.com/ml-tooling/best-of-python-dev): A ranked list of awesome python developer tools and libraries.\n- [**best-of-web-python**](https://github.com/ml-tooling/best-of-web-python): A ranked list of awesome python libraries for web development.\n\n## Contribution\n\nContributions are encouraged and always welcome! If you like to add or update projects, choose one of the following ways:\n\n- Open an issue by selecting one of the provided categories from the [issue page](https://github.com/ml-tooling/best-of-ml-python/issues/new/choose) and fill in the requested information.\n- Modify the [projects.yaml](https://github.com/ml-tooling/best-of-ml-python/blob/main/projects.yaml) with your additions or changes, and submit a pull request. This can also be done directly via the [Github UI](https://github.com/ml-tooling/best-of-ml-python/edit/main/projects.yaml).\n\nIf you like to contribute to or share suggestions regarding the project metadata collection or markdown generation, please refer to the [best-of-generator](https://github.com/best-of-lists/best-of-generator) repository. If you like to create your own best-of list, we recommend to follow [this guide](https://github.com/best-of-lists/best-of/blob/main/create-best-of-list.md).\n\nFor more information on how to add or update projects, please read the [contribution guidelines](https://github.com/ml-tooling/best-of-ml-python/blob/main/CONTRIBUTING.md). By participating in this project, you agree to abide by its [Code of Conduct](https://github.com/ml-tooling/best-of-ml-python/blob/main/.github/CODE_OF_CONDUCT.md).\n\n## License\n\n[![CC0](https://mirrors.creativecommons.org/presskit/buttons/88x31/svg/by-sa.svg)](https://creativecommons.org/licenses/by-sa/4.0/)\n"
  },
  {
    "path": "config/footer.md",
    "content": "\n---\n\n## Related Resources\n\n- [**Papers With Code**](https://paperswithcode.com): Discover ML papers, code, and evaluation tables.\n- [**Sotabench**](https://sotabench.com): Discover & compare open-source ML models.\n- [**Google Dataset Search**](https://toolbox.google.com/datasetsearch): Dataset search engine by Google.\n- [**Dataset List**](https://www.datasetlist.com/): List of the biggest ML datasets from across the web.\n- [**Awesome Public Datasets**](https://github.com/awesomedata/awesome-public-datasets): A topic-centric list of open datasets.\n- [**Best-of lists**](https://best-of.org): Discover other best-of lists with awesome open-source projects on all kinds of topics.\n- [**best-of-python-dev**](https://github.com/ml-tooling/best-of-python-dev): A ranked list of awesome python developer tools and libraries.\n- [**best-of-web-python**](https://github.com/ml-tooling/best-of-web-python): A ranked list of awesome python libraries for web development.\n\n## Contribution\n\nContributions are encouraged and always welcome! If you like to add or update projects, choose one of the following ways:\n\n- Open an issue by selecting one of the provided categories from the [issue page](https://github.com/ml-tooling/best-of-ml-python/issues/new/choose) and fill in the requested information.\n- Modify the [projects.yaml](https://github.com/ml-tooling/best-of-ml-python/blob/main/projects.yaml) with your additions or changes, and submit a pull request. This can also be done directly via the [Github UI](https://github.com/ml-tooling/best-of-ml-python/edit/main/projects.yaml).\n\nIf you like to contribute to or share suggestions regarding the project metadata collection or markdown generation, please refer to the [best-of-generator](https://github.com/best-of-lists/best-of-generator) repository. If you like to create your own best-of list, we recommend to follow [this guide](https://github.com/best-of-lists/best-of/blob/main/create-best-of-list.md).\n\nFor more information on how to add or update projects, please read the [contribution guidelines](https://github.com/ml-tooling/best-of-ml-python/blob/main/CONTRIBUTING.md). By participating in this project, you agree to abide by its [Code of Conduct](https://github.com/ml-tooling/best-of-ml-python/blob/main/.github/CODE_OF_CONDUCT.md).\n\n## License\n\n[![CC0](https://mirrors.creativecommons.org/presskit/buttons/88x31/svg/by-sa.svg)](https://creativecommons.org/licenses/by-sa/4.0/)\n"
  },
  {
    "path": "config/header.md",
    "content": "<!-- markdownlint-disable -->\n<h1 align=\"center\">\n    Best-of Machine Learning with Python\n    <br>\n</h1>\n\n<p align=\"center\">\n    <strong>🏆&nbsp; A ranked list of awesome machine learning Python libraries. Updated weekly.</strong>\n</p>\n\n<p align=\"center\">\n    <a href=\"https://github.com/ml-tooling/best-of\" title=\"Best-of-badge\"><img src=\"http://bit.ly/3o3EHNN\"></a>\n    <a href=\"#Contents\" title=\"Project Count\"><img src=\"https://img.shields.io/badge/projects-{project_count}-blue.svg?color=5ac4bf\"></a>\n    <a href=\"#Contribution\" title=\"Contributions are welcome\"><img src=\"https://img.shields.io/badge/contributions-welcome-green.svg\"></a>\n    <a href=\"https://github.com/ml-tooling/best-of-ml-python/releases\" title=\"Best-of Updates\"><img src=\"https://img.shields.io/github/release-date/ml-tooling/best-of-ml-python?color=green&label=updated\"></a>\n    <a href=\"https://mltooling.substack.com/subscribe\" title=\"Subscribe to newsletter\"><img src=\"http://bit.ly/2Md9rxM\"></a>\n    <a href=\"https://twitter.com/mltooling\" title=\"Follow on Twitter\"><img src=\"https://img.shields.io/twitter/follow/mltooling.svg?style=social&label=Follow\"></a>\n</p>\n\nThis curated list contains {project_count} awesome open-source projects with a total of {stars_count} stars grouped into {category_count} categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from GitHub and different package managers. If you like to add or update projects, feel free to open an [issue](https://github.com/ml-tooling/best-of-ml-python/issues/new/choose), submit a [pull request](https://github.com/ml-tooling/best-of-ml-python/pulls), or directly edit the [projects.yaml](https://github.com/ml-tooling/best-of-ml-python/edit/main/projects.yaml). Contributions are very welcome!\n\n---\n\n<p align=\"center\">\n     🧙‍♂️&nbsp; Discover other <a href=\"https://best-of.org\">best-of lists</a> or create <a href=\"https://github.com/best-of-lists/best-of/blob/main/create-best-of-list.md\">your own</a>.<br>\n    📫&nbsp; Subscribe to our <a href=\"https://mltooling.substack.com/subscribe\">newsletter</a> for updates and trending projects.\n</p>\n\n---\n\n"
  },
  {
    "path": "history/2020-11-30_projects.csv",
    "content": ",name,github_id,pypi_id,conda_id,docs_url,category,labels,github_url,homepage,license,created_at,updated_at,last_commit_pushed_at,fork_count,open_issue_count,closed_issue_count,star_count,commit_count,latest_stable_release_published_at,latest_stable_release_number,release_count,description,dependent_project_count,github_dependent_project_count,contributor_count,projectrank,pypi_url,pypi_latest_release_published_at,pypi_dependent_project_count,pypi_monthly_downloads,monthly_downloads,conda_url,conda_latest_release_published_at,conda_dependent_project_count,show,projectrank_placing,github_release_downloads,helm_id,brew_id,dockerhub_id,dockerhub_url,dockerhub_latest_release_published_at,dockerhub_stars,dockerhub_pulls,npm_id,npm_url,npm_latest_release_published_at,npm_dependent_project_count,npm_monthly_downloads,apt_id,yum_id,snap_id,cargo_id,maven_id,maven_url,maven_latest_release_published_at,maven_dependent_project_count,dnf_id,yay_id\n0,Tensorflow,tensorflow/tensorflow,tensorflow,tensorflow,https://www.tensorflow.org/overview,ml-frameworks,['tensorflow'],https://github.com/tensorflow/tensorflow,https://github.com/tensorflow/tensorflow,Apache-2.0,2015-11-07 01:19:20+00:00,2020-11-30 16:46:28+00:00,2020-11-30 16:27:36+00:00,83340.0,4158.0,24998.0,150975.0,100480.0,2020-11-02 11:16:39+00:00,2.3.0,108.0,An Open Source Machine Learning Framework for Everyone.,131920.0,109396.0,3424.0,44,https://pypi.org/project/tensorflow,2020-11-24 18:00:22+00:00,22524.0,9640712.0,9640712.0,https://anaconda.org/anaconda/tensorflow,2020-11-02 11:16:39+00:00,0.0,True,1,,,,,,,,,,,,,,,,,,,,,,,\n1,pandas,pandas-dev/pandas,pandas,pandas,,data-containers,['pandas'],https://github.com/pandas-dev/pandas,https://github.com/pandas-dev/pandas,BSD-3-Clause,2010-08-24 01:37:33+00:00,2020-11-30 17:42:06+00:00,2020-11-30 14:30:15+00:00,11406.0,3588.0,16004.0,27443.0,25065.0,2020-10-30 18:41:25+00:00,1.1.4,83.0,\"Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R..\",416245.0,339461.0,2517.0,43,https://pypi.org/project/pandas,2020-10-05 19:51:43.950000+00:00,76784.0,27068344.0,27069009.0,https://anaconda.org/anaconda/pandas,2020-10-31 18:02:02+00:00,0.0,True,1,54543.0,,,,,,,,,,,,,,,,,,,,,,\n2,numpy,numpy/numpy,numpy,numpy,,data-containers,,https://github.com/numpy/numpy,https://github.com/numpy/numpy,BSD-3-Clause,2010-09-13 23:02:39+00:00,2020-11-30 17:38:30+00:00,2020-11-30 13:55:57+00:00,5009.0,2224.0,7149.0,15560.0,24795.0,2020-11-02 16:22:48+00:00,1.19.4,91.0,The fundamental package for scientific computing with Python.,728660.0,558938.0,1214.0,42,https://pypi.org/project/numpy,2020-11-02 15:46:22+00:00,169722.0,44122899.0,44128704.0,https://anaconda.org/anaconda/numpy,2020-07-31 22:48:18+00:00,0.0,True,1,278645.0,,,,,,,,,,,,,,,,,,,,,,\n3,scikit-learn,scikit-learn/scikit-learn,scikit-learn,scikit-learn,,ml-frameworks,['sklearn'],https://github.com/scikit-learn/scikit-learn,https://github.com/scikit-learn/scikit-learn,BSD-3-Clause,2010-08-17 09:43:38+00:00,2020-11-30 16:41:35+00:00,2020-11-27 17:25:35+00:00,20564.0,2261.0,6538.0,43234.0,26332.0,2020-08-25 18:28:32+00:00,0.23.2,49.0,scikit-learn: machine learning in Python.,206651.0,168763.0,2094.0,41,https://pypi.org/project/scikit-learn,2020-08-04 12:59:29+00:00,37888.0,11091993.0,11092003.0,https://anaconda.org/anaconda/scikit-learn,2020-11-01 13:42:30.305000+00:00,0.0,True,1,593.0,,,,,,,,,,,,,,,,,,,,,,\n4,Matplotlib,matplotlib/matplotlib,matplotlib,,,data-viz,,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,Python-2.0,2011-02-19 03:17:12+00:00,2020-11-30 14:37:08+00:00,2020-11-28 15:38:05+00:00,5484.0,1619.0,5848.0,12692.0,37191.0,2020-11-12 04:43:18+00:00,3.3.3,61.0,matplotlib: plotting with Python.,370951.0,291847.0,1170.0,40,https://pypi.org/project/matplotlib,2020-11-12 04:43:18+00:00,79104.0,10692353.0,10692353.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n5,PyTorch,pytorch/pytorch,torch,,https://pytorch.org/docs/stable/index.html,ml-frameworks,['pytorch'],https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41+00:00,2020-11-30 17:12:02+00:00,2020-11-30 17:10:15+00:00,11382.0,7100.0,12092.0,44329.0,31683.0,2020-10-27 16:35:58+00:00,1.7.0,29.0,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,59310.0,52628.0,2384.0,39,https://pypi.org/project/torch,2020-10-27 15:49:06+00:00,6682.0,1789489.0,1789489.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n6,Scrapy,scrapy/scrapy,scrapy,,,web-scraping,,https://github.com/scrapy/scrapy,https://github.com/scrapy/scrapy,BSD-3-Clause,2010-02-22 02:01:14+00:00,2020-11-30 16:45:18+00:00,2020-11-30 13:41:40+00:00,8924.0,746.0,1890.0,39054.0,8544.0,2020-11-17 21:01:36+00:00,2.4.1,80.0,\"Scrapy, a fast high-level web crawling & scraping framework for Python.\",29525.0,21155.0,455.0,38,https://pypi.org/project/scrapy,2020-11-17 12:04:15+00:00,8370.0,906949.0,906949.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n7,PySpark,apache/spark,pyspark,,,ml-frameworks,['spark'],https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08+00:00,2020-11-30 17:11:41+00:00,2020-11-30 16:40:36+00:00,22829.0,236.0,,28156.0,28635.0,2020-09-07 15:29:07+00:00,3.0.1,21.0,Apache Spark Python API.,1248.0,488.0,2364.0,38,https://pypi.org/project/pyspark,2020-09-07 15:29:07+00:00,760.0,7366004.0,7366004.0,,,,True,1,,stable/spark,,,,,,,,,,,,,,,,,,,,,\n8,Pillow,python-pillow/Pillow,Pillow,,,image,,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39+00:00,2020-11-30 13:01:08+00:00,2020-11-30 13:01:07+00:00,1536.0,238.0,1809.0,7935.0,10881.0,2020-10-22 19:19:42+00:00,8.0.1,76.0,The friendly PIL fork (Python Imaging Library).,464974.0,353548.0,341.0,38,https://pypi.org/project/Pillow,2020-10-22 19:17:46+00:00,111426.0,17183772.0,17183772.0,,,,False,1,,,,,,,,,,,,,,,,,,,,,,,\n9,spaCy,explosion/spaCy,spacy,,,nlp,,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40+00:00,2020-11-30 13:57:35+00:00,2020-11-30 01:35:42+00:00,3162.0,172.0,4221.0,17720.0,11678.0,2020-11-26 00:36:53+00:00,2.3.4,167.0,Industrial-strength Natural Language Processing (NLP) with Python and Cython.,21752.0,18686.0,534.0,37,https://pypi.org/project/spacy,2020-11-24 16:13:38+00:00,3066.0,1191790.0,1191848.0,,,,True,1,2866.0,,,,,,,,,,,,,,,,,,,,,,\n10,Celery,celery/celery,celery,,,data-pipelines,,https://github.com/celery/celery,https://github.com/celery/celery,BSD-3-Clause,2009-04-24 11:31:24+00:00,2020-11-30 13:10:47+00:00,2020-11-30 13:10:46+00:00,3851.0,459.0,3892.0,16255.0,11451.0,2020-11-03 10:26:48+00:00,5.0.2,168.0,Asynchronous task queue/job queue based on distributed message passing.,73733.0,45499.0,1062.0,37,https://pypi.org/project/celery,2020-11-02 17:53:58+00:00,28234.0,2393856.0,2393856.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n11,redis,andymccurdy/redis-py,redis,,,db-clients,,https://github.com/andymccurdy/redis-py,https://github.com/andymccurdy/redis-py,MIT,2009-11-06 10:22:26+00:00,2020-11-22 20:52:45+00:00,2020-11-22 20:52:44+00:00,1903.0,62.0,799.0,8945.0,1550.0,2020-06-01 21:30:33+00:00,3.5.3,66.0,Redis Python Client.,49438.0,,248.0,37,https://pypi.org/project/redis,2020-06-01 21:30:33+00:00,49438.0,9212470.0,9212470.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n12,networkx,networkx/networkx,networkx,,,graph,,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44+00:00,2020-11-29 16:25:45+00:00,2020-11-28 23:17:56+00:00,2142.0,250.0,2253.0,8279.0,6313.0,2020-08-22 20:10:33+00:00,networkx-2.5,52.0,Network Analysis in Python.,81307.0,60489.0,473.0,37,https://pypi.org/project/networkx,2020-08-22 20:38:37+00:00,20818.0,5919474.0,5919474.0,,,,True,1,48.0,,,,,,,,,,,,,,,,,,,,,,\n13,boto3,boto/boto3,boto3,,,db-clients,,https://github.com/boto/boto3,https://github.com/boto/boto3,Apache-2.0,2014-10-03 21:38:03+00:00,2020-11-30 05:12:28+00:00,2020-11-24 19:12:26+00:00,1282.0,300.0,1911.0,5955.0,3909.0,2020-11-20 20:24:15+00:00,1.16.23,710.0,AWS SDK for Python.,108205.0,85115.0,105.0,37,https://pypi.org/project/boto3,2020-11-20 20:24:15+00:00,23090.0,43482486.0,43482486.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n14,youtube-dl,ytdl-org/youtube-dl,youtube_dl,,,web-scraping,,https://github.com/ytdl-org/youtube-dl,https://github.com/ytdl-org/youtube-dl,Unlicense,2010-10-31 14:35:07+00:00,2020-11-30 08:46:37+00:00,2020-11-30 08:46:15+00:00,2447.0,4010.0,18697.0,83261.0,17895.0,2020-11-29 06:54:51+00:00,2020.11.29,923.0,Command-line program to download videos from YouTube.com and other video sites.,2854.0,,903.0,36,https://pypi.org/project/youtube_dl,2020-11-29 06:54:51+00:00,2854.0,1617436.0,3218953.0,,,,True,1,46444021.0,,youtube-dl,,,,,,,,,,,,,,,,,,,,\n15,Keras,keras-team/keras,keras,keras,https://keras.io,ml-frameworks,['keras'],https://github.com/keras-team/keras,https://github.com/keras-team/keras,MIT,2015-03-28 00:35:42+00:00,2020-10-20 21:55:06+00:00,2020-10-20 21:55:05+00:00,18672.0,3209.0,7208.0,50245.0,5350.0,2020-06-25 19:09:28+00:00,2.4.3,53.0,Deep Learning for humans.,14996.0,,890.0,36,https://pypi.org/project/keras,2020-06-24 22:40:48+00:00,14996.0,2215393.0,2215393.0,https://anaconda.org/anaconda/keras,2020-06-25 19:09:28+00:00,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n16,transformers,huggingface/transformers,transformers,,,nlp,\"['pytorch', 'tensorflow']\",https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00+00:00,2020-11-30 17:26:41+00:00,2020-11-30 17:07:52+00:00,9154.0,571.0,4680.0,37409.0,6007.0,2020-11-30 17:01:56+00:00,4.0.0,42.0,Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.,5836.0,5708.0,710.0,36,https://pypi.org/project/transformers,2020-11-30 16:47:02+00:00,128.0,1030759.0,1030809.0,,,,True,1,1217.0,,,,,,,,,,,,,,,,,,,,,,\n17,Faker,joke2k/faker,Faker,,,data-loading,,https://github.com/joke2k/faker,https://github.com/joke2k/faker,MIT,2012-11-12 23:00:09+00:00,2020-11-30 16:38:38+00:00,2020-11-30 15:42:45+00:00,1318.0,132.0,339.0,11631.0,2469.0,2020-11-30 15:38:44+00:00,4.18.0,99.0,Faker is a Python package that generates fake data for you.,25506.0,20794.0,371.0,36,https://pypi.org/project/Faker,2020-11-30 15:38:44+00:00,4712.0,2026020.0,2026020.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n18,psutil,giampaolo/psutil,psutil,conda-forge/psutil,,system-monitoring,,https://github.com/giampaolo/psutil,https://github.com/giampaolo/psutil,BSD-3-Clause,2014-05-23 14:01:48+00:00,2020-11-22 21:21:55+00:00,2020-11-15 21:53:59+00:00,1055.0,224.0,1198.0,6803.0,5574.0,2020-10-24 14:00:54+00:00,5.7.3,82.0,Cross-platform lib for process and system monitoring in Python.,89995.0,65329.0,153.0,36,https://pypi.org/project/psutil,2020-10-24 14:00:54+00:00,24666.0,13670117.0,13670117.0,https://anaconda.org/conda-forge/psutil,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n19,StatsModels,statsmodels/statsmodels,statsmodels,statsmodels,,ml-frameworks,,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50+00:00,2020-11-29 20:41:45+00:00,2020-11-28 14:24:58+00:00,2092.0,1993.0,2215.0,5758.0,13497.0,2020-10-29 16:36:43+00:00,0.12.1,24.0,Statsmodels: statistical modeling and econometrics in Python.,39879.0,33223.0,295.0,36,https://pypi.org/project/statsmodels,2020-10-29 16:36:43+00:00,6656.0,2571690.0,2571690.0,https://anaconda.org/anaconda/statsmodels,2020-10-09 21:54:21+00:00,0.0,True,1,24.0,,,,,,,,,,,,,,,,,,,,,,\n20,Tensorboard,tensorflow/tensorboard,tensorboard,,,ml-experiments,['tensorflow'],https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07+00:00,2020-11-30 17:00:36+00:00,2020-11-25 23:16:04+00:00,1312.0,548.0,889.0,5053.0,4040.0,2020-11-12 03:15:42+00:00,2.4.0,35.0,TensorFlow's Visualization Toolkit.,50061.0,46447.0,248.0,36,https://pypi.org/project/tensorboard,2020-11-12 03:15:33+00:00,3614.0,6017734.0,6017734.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n21,scikit-image,scikit-image/scikit-image,scikit-image,,,image,,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,BSD-2-Clause,2011-07-07 22:07:20+00:00,2020-11-30 10:21:11+00:00,2020-11-27 08:05:05+00:00,1695.0,638.0,1453.0,4067.0,12382.0,2020-07-06 09:37:07+00:00,0.17.2,31.0,Image processing in Python.,69333.0,54559.0,470.0,36,https://pypi.org/project/scikit-image,2020-11-29 03:50:40+00:00,14774.0,1837120.0,1837120.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n22,pymongo,mongodb/mongo-python-driver,pymongo,,,db-clients,,https://github.com/mongodb/mongo-python-driver,https://github.com/mongodb/mongo-python-driver,Apache-2.0,2009-01-15 15:18:06+00:00,2020-11-27 07:15:48+00:00,2020-11-24 20:11:22+00:00,968.0,9.0,,3167.0,4606.0,2020-11-17 19:05:02+00:00,3.11.1,114.0,PyMongo - the Python driver for MongoDB.,114936.0,79074.0,179.0,36,https://pypi.org/project/pymongo,2020-11-17 18:06:45+00:00,35862.0,6309313.0,6309313.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n23,SQLAlchemy,sqlalchemy/sqlalchemy,SQLAlchemy,conda-forge/sqlalchemy,,db-clients,,https://github.com/sqlalchemy/sqlalchemy,https://github.com/sqlalchemy/sqlalchemy,MIT,2018-11-27 03:35:03+00:00,2020-11-30 16:46:21+00:00,2020-11-30 16:45:58+00:00,468.0,155.0,5329.0,3021.0,13354.0,2020-10-12 22:33:21+00:00,rel_1_3_20,205.0,The Database Toolkit for Python.,300671.0,216965.0,445.0,36,https://pypi.org/project/SQLAlchemy,2020-11-02 21:20:19+00:00,83706.0,13517653.0,13517727.0,https://anaconda.org/conda-forge/sqlalchemy,,,True,1,1042.0,,,,,,,,,,,,,,,,,,,,,,\n24,h5py,h5py/h5py,h5py,,,data-containers,,https://github.com/h5py/h5py,https://github.com/h5py/h5py,BSD-3-Clause,2012-09-21 00:40:02+00:00,2020-11-26 14:02:00+00:00,2020-11-07 16:05:19+00:00,393.0,182.0,932.0,1446.0,3458.0,2020-11-06 14:30:54+00:00,3.1.0,25.0,HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.,114943.0,92007.0,156.0,36,https://pypi.org/project/h5py,2020-11-06 14:30:54+00:00,22936.0,6035930.0,6035946.0,,,,True,1,713.0,,,,,,,,,,,,,,,,,,,,,,\n25,OpenAI Gym,openai/gym,gym,,,reinforcement-learning,,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16+00:00,2020-11-27 17:03:56+00:00,2020-11-09 18:24:26+00:00,6420.0,190.0,1058.0,22802.0,1237.0,2020-05-08 23:33:21+00:00,0.17.2,90.0,A toolkit for developing and comparing reinforcement learning algorithms.,19541.0,15979.0,271.0,35,https://pypi.org/project/gym,2020-05-08 23:33:21+00:00,3562.0,469119.0,469119.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n26,XGBoost,dmlc/xgboost,xgboost,,https://xgboost.readthedocs.io/en/latest/,ml-frameworks,,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03+00:00,2020-11-30 00:53:10+00:00,2020-11-28 19:18:33+00:00,7818.0,257.0,3553.0,20210.0,5124.0,2020-10-14 01:14:47+00:00,1.2.1,48.0,\"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..\",12507.0,11711.0,497.0,35,https://pypi.org/project/xgboost,2020-11-21 20:35:43+00:00,796.0,3161432.0,3161453.0,,,,True,2,1754.0,,,,,,,,,,,,,,,,,,,,,,\n27,Airflow,apache/airflow,apache-airflow,conda-forge/airflow,,data-pipelines,,https://github.com/apache/airflow,https://github.com/apache/airflow,Apache-2.0,2015-04-13 18:04:58+00:00,2020-11-30 17:53:09+00:00,2020-11-30 17:29:53+00:00,7523.0,887.0,1609.0,19592.0,10926.0,2020-11-25 14:03:23+00:00,1.10.13,59.0,\"Platform to programmatically author, schedule, and monitor workflows.\",294.0,,1655.0,35,https://pypi.org/project/apache-airflow,2020-11-25 13:54:41+00:00,294.0,627341.0,666394.0,https://anaconda.org/conda-forge/airflow,,,True,1,55851.0,stable/airflow,,apache/airflow,https://hub.docker.com/r/apache/airflow,2020-11-30 15:31:43.235132+00:00,181.0,2557204.0,,,,,,,,,,,,,,,\n28,LightGBM,microsoft/LightGBM,lightgbm,lightgbm,,ml-frameworks,,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50+00:00,2020-11-30 11:54:40+00:00,2020-11-30 00:52:38+00:00,3113.0,86.0,1863.0,11865.0,2146.0,2020-11-16 04:30:42+00:00,3.1.0,23.0,\"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..\",5324.0,4768.0,187.0,35,https://pypi.org/project/lightgbm,2020-11-16 04:30:42+00:00,556.0,1589143.0,1590941.0,https://anaconda.org/anaconda/lightgbm,2019-11-17 05:00:09+00:00,,True,2,77331.0,,,,,,,,,,,,,,,,,,,,,,\n29,gensim,RaRe-Technologies/gensim,gensim,,,nlp,,https://github.com/RaRe-Technologies/gensim,https://github.com/RaRe-Technologies/gensim,LGPL-2.1,2011-02-10 07:43:04+00:00,2020-11-30 16:35:17+00:00,2020-11-15 20:49:41+00:00,3825.0,349.0,1234.0,11426.0,3849.0,2020-05-04 05:55:15+00:00,3.8.3,83.0,Topic Modelling for Humans.,23450.0,18708.0,384.0,35,https://pypi.org/project/gensim,2020-11-15 12:53:37+00:00,4742.0,5255941.0,5255983.0,,,,False,1,2523.0,,,,,,,,,,,,,,,,,,,,,,\n30,Theano,Theano/Theano,theano,theano,,ml-frameworks,,https://github.com/Theano/Theano,https://github.com/Theano/Theano,BSD-3-Clause,2011-08-10 03:48:06+00:00,2020-09-05 10:41:31+00:00,2020-09-05 10:39:50+00:00,2514.0,673.0,2079.0,9283.0,28123.0,2020-07-27 16:13:54+00:00,1.0.5,45.0,\"Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-..\",15081.0,9607.0,382.0,35,https://pypi.org/project/theano,2020-07-27 16:13:54+00:00,5474.0,276201.0,276201.0,https://anaconda.org/anaconda/theano,2019-09-12 14:53:26+00:00,0.0,True,2,,,,,,,,,,,,,,,,,,,,,,,\n31,Plotly,plotly/plotly.py,plotly,,,data-viz,,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08+00:00,2020-11-30 15:48:12+00:00,2020-11-26 02:30:03+00:00,1699.0,729.0,1029.0,8326.0,4810.0,2020-11-23 13:51:35+00:00,4.13.0,261.0,The interactive graphing library for Python (includes Plotly Express).,4991.0,5.0,156.0,35,https://pypi.org/project/plotly,2020-11-23 13:44:32+00:00,4982.0,3172842.0,3203508.0,,,,True,1,,,,,,,,,plotlywidget,https://www.npmjs.com/package/plotlywidget,2020-11-23 13:41:39.403000+00:00,4.0,30666.0,,,,,,,,,,\n32,Seaborn,mwaskom/seaborn,seaborn,,,data-viz,,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19+00:00,2020-11-25 18:12:38+00:00,2020-11-25 18:12:10+00:00,1322.0,93.0,1613.0,7856.0,2714.0,2020-09-08 14:53:52+00:00,0.11.0,22.0,Statistical data visualization using matplotlib.,83903.0,71117.0,143.0,35,https://pypi.org/project/seaborn,2020-09-08 14:53:52+00:00,12786.0,2075517.0,2075518.0,,,,True,1,88.0,,,,,,,,,,,,,,,,,,,,,,\n33,torchvision,pytorch/vision,torchvision,,,image,['pytorch'],https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43+00:00,2020-11-30 17:20:30+00:00,2020-11-30 15:28:00+00:00,3959.0,443.0,996.0,7823.0,1349.0,2020-10-27 21:22:05+00:00,0.8.1,20.0,\"Datasets, Transforms and Models specific to Computer Vision.\",39714.0,35102.0,338.0,35,https://pypi.org/project/torchvision,2020-10-27 21:17:07+00:00,4612.0,714596.0,714596.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n34,SymPy,sympy/sympy,sympy,sympy,,others,,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14+00:00,2020-11-30 17:41:56+00:00,2020-11-30 00:14:04+00:00,3198.0,3944.0,7019.0,7574.0,45323.0,2020-11-29 14:03:54+00:00,sympy-1.7,35.0,A computer algebra system written in pure Python.,32940.0,26518.0,1012.0,35,https://pypi.org/project/sympy,2020-11-29 14:24:32+00:00,6422.0,797340.0,801980.0,https://anaconda.org/anaconda/sympy,2020-11-24 22:42:59.563000+00:00,0.0,True,1,408333.0,,,,,,,,,,,,,,,,,,,,,,\n35,dask,dask/dask,dask,,,distributed-ml,,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00+00:00,2020-11-30 17:37:20+00:00,2020-11-30 16:44:02+00:00,1167.0,651.0,2733.0,7563.0,6221.0,2020-10-06 22:31:00+00:00,2.30.0,108.0,Parallel computing with task scheduling.,27125.0,23209.0,416.0,35,https://pypi.org/project/dask,2020-10-06 22:31:00+00:00,3916.0,1533075.0,1533075.0,,,,True,1,,stable/dask,,,,,,,,,,,,,,,,,,,,,\n36,PyMySQL,PyMySQL/PyMySQL,PyMySQL,,,db-clients,,https://github.com/PyMySQL/PyMySQL,https://github.com/PyMySQL/PyMySQL,MIT,2011-07-27 17:38:47+00:00,2020-11-02 04:34:08+00:00,2020-09-10 07:29:31+00:00,1238.0,18.0,512.0,6222.0,943.0,2020-09-10 07:38:01+00:00,0.10.1,32.0,Pure Python MySQL Client.,86907.0,68481.0,104.0,35,https://pypi.org/project/PyMySQL,2020-09-10 07:38:01+00:00,18426.0,5541175.0,5541175.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n37,google-cloud-storage,googleapis/google-cloud-python,google-cloud-storage,,,db-clients,,https://github.com/googleapis/google-cloud-python,https://github.com/googleapis/google-cloud-python,Apache-2.0,2014-01-28 15:51:47+00:00,2020-11-16 22:06:04+00:00,2020-10-29 21:15:18+00:00,1324.0,20.0,3311.0,3412.0,9049.0,2020-11-16 22:06:04+00:00,1.33.0,100.0,Google Cloud Client Library for Python.,2108.0,,311.0,35,https://pypi.org/project/google-cloud-storage,2020-11-16 22:06:04+00:00,2108.0,14163218.0,14163218.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n38,elasticsearch,elastic/elasticsearch-py,elasticsearch,,,db-clients,,https://github.com/elastic/elasticsearch-py,https://github.com/elastic/elasticsearch-py,Apache-2.0,2013-05-01 22:47:39+00:00,2020-11-23 23:33:19+00:00,2020-11-23 22:53:07+00:00,948.0,72.0,770.0,3029.0,1248.0,2020-11-11 18:05:35+00:00,7.10.0,62.0,Official Python low-level client for Elasticsearch.,28979.0,18405.0,167.0,35,https://pypi.org/project/elasticsearch,2020-10-20 20:50:09+00:00,10574.0,4172811.0,4172841.0,,,,True,2,30.0,,,,,,,,,,,,,,,,,,,,,,\n39,psycopg2,psycopg/psycopg2,psycopg2,psycopg2,,db-clients,,https://github.com/psycopg/psycopg2,https://github.com/psycopg/psycopg2,BSD-3-Clause-Attribution,2013-01-21 11:05:11+00:00,2020-11-18 16:10:19+00:00,2020-11-17 22:45:52+00:00,346.0,42.0,913.0,1988.0,2870.0,2020-09-06 22:41:27+00:00,2.8.6,45.0,PostgreSQL database adapter for the Python programming language.,395457.0,276245.0,110.0,35,https://pypi.org/project/psycopg2,2020-09-06 22:41:27+00:00,119212.0,5482070.0,5482070.0,https://anaconda.org/anaconda/psycopg2,2020-07-09 14:36:31+00:00,0.0,False,2,,,,,,,,,,,,,,,,,,,,,,,\n40,MXNet,apache/incubator-mxnet,mxnet,mxnet,,ml-frameworks,['mxnet'],https://github.com/apache/incubator-mxnet,https://github.com/apache/incubator-mxnet,Apache-2.0,2015-04-30 16:21:15+00:00,2020-11-30 08:50:56+00:00,2020-11-29 01:50:14+00:00,6765.0,1785.0,7523.0,19134.0,11455.0,2020-08-28 05:08:24+00:00,1.7.0,976.0,\"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..\",2047.0,1603.0,943.0,34,https://pypi.org/project/mxnet,2020-08-28 06:18:15+00:00,444.0,249380.0,249809.0,https://anaconda.org/anaconda/mxnet,2019-08-02 21:58:41+00:00,0.0,True,2,23208.0,,,,,,,,,,,,,,,,,,,,,,\n41,nltk,nltk/nltk,nltk,,,nlp,,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58+00:00,2020-11-30 00:10:14+00:00,2020-11-23 07:50:32+00:00,2397.0,243.0,1207.0,9445.0,,2019-08-20 10:55:21+00:00,3.4.5,39.0,Suite of libraries and programs for symbolic and statistical natural language processing for English.,101352.0,80360.0,377.0,34,https://pypi.org/project/nltk,2020-04-12 23:46:10+00:00,20992.0,4443988.0,4443988.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n42,Arrow,apache/arrow,pyarrow,,,data-containers,,https://github.com/apache/arrow,https://github.com/apache/arrow,Apache-2.0,2016-02-17 08:00:23+00:00,2020-11-30 17:38:01+00:00,2020-11-30 15:18:28+00:00,1654.0,109.0,533.0,6643.0,7997.0,2020-10-19 21:15:12+00:00,2.0.0,29.0,Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-..,1012.0,26.0,589.0,34,https://pypi.org/project/pyarrow,2020-10-19 21:15:12+00:00,986.0,9522129.0,9522129.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n43,kafka-python,dpkp/kafka-python,kafka-python,,,db-clients,,https://github.com/dpkp/kafka-python,https://github.com/dpkp/kafka-python,Apache-2.0,2012-09-24 13:00:26+00:00,2020-11-25 22:07:50+00:00,2020-11-19 21:51:14+00:00,1099.0,135.0,1148.0,4107.0,2150.0,2020-09-30 07:33:37+00:00,2.0.1,36.0,Python client for Apache Kafka.,7335.0,5315.0,202.0,34,https://pypi.org/project/kafka-python,2020-09-30 07:24:01+00:00,2020.0,2530726.0,2530748.0,,,,True,2,1662.0,,,,,,,,,,,,,,,,,,,,,,\n44,Bokeh,bokeh/bokeh,bokeh,,,data-viz,,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01+00:00,2020-11-29 19:42:09+00:00,2020-11-28 23:25:45+00:00,3568.0,592.0,5693.0,14303.0,,2020-10-21 02:39:03+00:00,2.2.3,80.0,\"Interactive Data Visualization in the browser, from Python.\",34209.0,28337.0,538.0,33,https://pypi.org/project/bokeh,2020-11-28 23:30:21+00:00,5872.0,1260923.0,1260923.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n45,luigi,spotify/luigi,luigi,luigi,,data-pipelines,,https://github.com/spotify/luigi,https://github.com/spotify/luigi,Apache-2.0,2012-09-20 15:06:38+00:00,2020-11-27 15:16:56+00:00,2020-11-18 22:03:13+00:00,2172.0,52.0,831.0,13969.0,3934.0,2020-09-23 11:57:43+00:00,3.0.2,72.0,\"Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution,..\",1923.0,1247.0,545.0,33,https://pypi.org/project/luigi,2020-09-23 11:57:12+00:00,676.0,436593.0,436593.0,https://anaconda.org/anaconda/luigi,2020-07-20 20:26:45+00:00,,True,1,,stable/luigi,,,,,,,,,,,,,,,,,,,,,\n46,shap,slundberg/shap,shap,,,interpretability,,https://github.com/slundberg/shap,https://github.com/slundberg/shap,MIT,2016-11-22 19:17:08+00:00,2020-11-29 00:54:26+00:00,2020-11-24 05:23:01+00:00,1566.0,820.0,488.0,10982.0,1448.0,2020-11-04 21:38:32+00:00,0.37.0,92.0,A game theoretic approach to explain the output of any machine learning model.,1826.0,1690.0,134.0,33,https://pypi.org/project/shap,2020-11-04 21:38:32+00:00,136.0,793563.0,793563.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n47,pytorch-lightning,PyTorchLightning/pytorch-lightning,pytorch-lightning,conda-forge/pytorch-lightning,,ml-frameworks,['pytorch'],https://github.com/PyTorchLightning/pytorch-lightning,https://github.com/PyTorchLightning/pytorch-lightning,Apache-2.0,2019-03-31 00:45:57+00:00,2020-11-30 17:17:45+00:00,2020-11-30 13:29:49+00:00,1185.0,313.0,2196.0,10450.0,3865.0,2020-11-24 16:55:10+00:00,1.0.8,137.0,\"The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.\",1328.0,1314.0,331.0,33,https://pypi.org/project/pytorch-lightning,2020-11-24 17:06:12+00:00,14.0,112333.0,112333.0,https://anaconda.org/conda-forge/pytorch-lightning,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n48,onnx,onnx/onnx,onnx,,,model-serialisation,,https://github.com/onnx/onnx,https://github.com/onnx/onnx,MIT,2017-09-07 04:53:45+00:00,2020-11-30 17:41:49+00:00,2020-11-30 16:58:04+00:00,1698.0,486.0,891.0,9392.0,1645.0,2020-11-07 00:55:30+00:00,1.8.0,19.0,Open standard for machine learning interoperability.,2265.0,2117.0,188.0,33,https://pypi.org/project/onnx,2020-11-06 22:46:10+00:00,148.0,326349.0,326582.0,,,,True,1,8639.0,,,,,,,,,,,,,,,,,,,,,,\n49,peewee,coleifer/peewee,peewee,,,db-clients,,https://github.com/coleifer/peewee,https://github.com/coleifer/peewee,MIT,2010-10-11 20:14:11+00:00,2020-11-26 16:40:21+00:00,2020-11-26 16:31:52+00:00,1254.0,1.0,1898.0,7965.0,4280.0,2020-11-07 18:48:43+00:00,3.14.0,165.0,\"a small, expressive orm -- supports postgresql, mysql and sqlite.\",17750.0,11286.0,144.0,33,https://pypi.org/project/peewee,2020-11-07 18:47:45+00:00,6464.0,224397.0,224397.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n50,mlflow,mlflow/mlflow,mlflow,,,ml-experiments,,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58+00:00,2020-11-30 15:28:03+00:00,2020-11-30 09:27:51+00:00,1761.0,587.0,1003.0,7911.0,1756.0,2020-11-19 07:43:19+00:00,1.12.1,38.0,Open source platform for the machine learning lifecycle.,1720.0,1566.0,263.0,33,https://pypi.org/project/mlflow,2020-11-19 07:30:38+00:00,154.0,2723793.0,2723793.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n51,Ray,ray-project/ray,ray,,,distributed-ml,,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30+00:00,2020-11-30 16:05:09+00:00,2020-11-30 11:41:24+00:00,2193.0,1402.0,4134.0,13936.0,6519.0,2020-11-19 22:43:00+00:00,ray-1.0.1.post1,42.0,\"An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged..\",1379.0,1299.0,402.0,32,https://pypi.org/project/ray,2020-11-19 22:42:38+00:00,80.0,301945.0,301945.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n52,tensor2tensor,tensorflow/tensor2tensor,tensor2tensor,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/tensor2tensor,https://github.com/tensorflow/tensor2tensor,Apache-2.0,2017-06-15 16:57:39+00:00,2020-11-16 14:28:15+00:00,2020-11-16 14:28:10+00:00,2682.0,542.0,661.0,10624.0,4345.0,2020-06-17 16:15:36+00:00,1.15.7,79.0,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,917.0,835.0,230.0,32,https://pypi.org/project/tensor2tensor,2020-06-17 16:15:36+00:00,82.0,25192.0,25192.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n53,imgaug,aleju/imgaug,imgaug,,,image,,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33+00:00,2020-10-19 12:23:22+00:00,2020-06-01 14:58:26+00:00,1927.0,209.0,203.0,10307.0,2913.0,2020-02-06 06:18:40+00:00,0.4.0,11.0,Image augmentation for machine learning experiments.,4866.0,4588.0,36.0,32,https://pypi.org/project/imgaug,2020-02-05 20:54:22+00:00,278.0,219711.0,219711.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n54,AllenNLP,allenai/allennlp,allennlp,,,nlp,['pytorch'],https://github.com/allenai/allennlp,https://github.com/allenai/allennlp,Apache-2.0,2017-05-15 15:52:41+00:00,2020-11-30 16:56:30+00:00,2020-11-23 02:34:51+00:00,1905.0,132.0,2086.0,9425.0,2339.0,2020-11-17 18:26:44+00:00,1.2.2,154.0,\"An open-source NLP research library, built on PyTorch.\",1400.0,1283.0,228.0,32,https://pypi.org/project/allennlp,2020-11-17 18:37:28+00:00,117.0,20879.0,20879.0,,,,True,1,36.0,,,,,,,,,,,,,,,,,,,,,,\n55,Chainer,chainer/chainer,chainer,,,ml-frameworks,,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37+00:00,2020-11-25 04:04:52+00:00,2020-11-19 02:38:55+00:00,1371.0,16.0,2013.0,5488.0,30534.0,2020-07-30 09:01:53+00:00,7.7.0,108.0,A flexible framework of neural networks for deep learning.,2433.0,1691.0,317.0,32,https://pypi.org/project/chainer,2020-07-30 09:01:53+00:00,742.0,22767.0,22767.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n56,PyMC3,pymc-devs/pymc3,pymc3,,,probabilistics,,https://github.com/pymc-devs/pymc3,https://github.com/pymc-devs/pymc3,Apache-2.0,2009-05-05 09:43:50+00:00,2020-11-30 16:46:00+00:00,2020-11-30 07:16:25+00:00,1313.0,151.0,1916.0,5396.0,7558.0,2020-08-11 03:31:00+00:00,3.9.3,29.0,Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano.,2058.0,1772.0,298.0,32,https://pypi.org/project/pymc3,2020-08-11 03:31:00+00:00,286.0,127532.0,127533.0,,,,True,1,133.0,,,,,,,,,,,,,,,,,,,,,,\n57,Beam,apache/beam,apache-beam,,,data-pipelines,,https://github.com/apache/beam,https://github.com/apache/beam,Apache-2.0,2016-02-02 08:00:06+00:00,2020-11-30 17:54:14+00:00,2020-11-30 17:07:18+00:00,2739.0,115.0,,4404.0,29797.0,2020-11-06 18:05:27+00:00,2.25.0,28.0,\"Unified programming model to define and execute data processing pipelines, including ETL, batch and stream processing.\",186.0,,965.0,32,https://pypi.org/project/apache-beam,2020-10-23 21:15:53+00:00,186.0,2151081.0,2151081.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n58,xmltodict,martinblech/xmltodict,xmltodict,,,data-loading,,https://github.com/martinblech/xmltodict,https://github.com/martinblech/xmltodict,MIT,2012-04-17 14:38:21+00:00,2020-11-05 01:54:38+00:00,2020-04-26 05:15:03+00:00,393.0,63.0,134.0,4175.0,205.0,2019-02-11 07:00:26+00:00,0.12.0,27.0,Python module that makes working with XML feel like you are working with JSON.,26861.0,18627.0,41.0,32,https://pypi.org/project/xmltodict,2019-02-11 07:00:26+00:00,8234.0,4577803.0,4577803.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n59,geopy,geopy/geopy,geopy,,,geospatial-data,,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28+00:00,2020-11-16 12:27:47+00:00,2020-09-13 20:17:58+00:00,521.0,27.0,203.0,3082.0,970.0,2020-06-27 20:47:54+00:00,2.0.0,56.0,Geocoding library for Python.,21326.0,14082.0,115.0,32,https://pypi.org/project/geopy,2020-06-27 20:42:36+00:00,7244.0,1783246.0,1783246.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n60,tensorflow-hub,tensorflow/hub,tensorflow-hub,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42+00:00,2020-11-25 20:15:49+00:00,2020-11-23 13:15:51+00:00,1405.0,41.0,484.0,2636.0,795.0,2020-10-29 15:10:15+00:00,0.10.0,13.0,A library for transfer learning by reusing parts of TensorFlow models.,4757.0,4443.0,64.0,32,https://pypi.org/project/tensorflow-hub,2020-10-29 14:53:02+00:00,314.0,1109317.0,1109317.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n61,TensorFlow Datasets,tensorflow/datasets,tensorflow-datasets,,,data-loading,['tensorflow'],https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22+00:00,2020-11-30 16:54:57+00:00,2020-11-30 15:34:46+00:00,866.0,380.0,488.0,2546.0,3509.0,2020-11-04 12:02:52+00:00,4.1.0,19.0,\"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...\",3035.0,2933.0,172.0,32,https://pypi.org/project/tensorflow-datasets,2020-10-09 17:47:49+00:00,102.0,539876.0,539876.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n62,GeoPandas,geopandas/geopandas,geopandas,,,geospatial-data,['pandas'],https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47+00:00,2020-11-29 15:41:49+00:00,2020-11-27 10:30:23+00:00,503.0,254.0,636.0,2365.0,1298.0,2020-07-15 17:59:00+00:00,0.8.1,34.0,Python tools for geographic data.,7512.0,6346.0,124.0,32,https://pypi.org/project/geopandas,2020-06-24 13:38:40+00:00,1166.0,485306.0,485321.0,,,,True,1,814.0,,,,,,,,,,,,,,,,,,,,,,\n63,Thinc,explosion/thinc,thinc,,,ml-frameworks,,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59+00:00,2020-11-30 14:15:32+00:00,2020-11-19 12:52:58+00:00,185.0,13.0,79.0,2108.0,4847.0,2020-11-23 10:19:51+00:00,7.4.3,179.0,\"A refreshing functional take on deep learning, compatible with your favorite libraries.\",10790.0,9652.0,33.0,32,https://pypi.org/project/thinc,2020-11-23 10:19:51+00:00,1138.0,1201813.0,1201813.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n64,xarray,pydata/xarray,xarray,,,data-containers,,https://github.com/pydata/xarray,https://github.com/pydata/xarray,Apache-2.0,2013-09-30 17:21:10+00:00,2020-11-30 17:25:43+00:00,2020-11-30 17:25:41+00:00,603.0,760.0,1818.0,1865.0,3397.0,2020-09-20 19:43:05+00:00,0.16.1,54.0,N-D labeled arrays and datasets in Python.,5583.0,4451.0,283.0,32,https://pypi.org/project/xarray,2020-09-20 19:38:59+00:00,1132.0,299046.0,299046.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n65,Cassandra Driver,datastax/python-driver,cassandra-driver,conda-forge/cassandra-driver,,db-clients,,https://github.com/datastax/python-driver,https://github.com/datastax/python-driver,Apache-2.0,2013-07-08 19:02:31+00:00,2020-11-30 17:16:16+00:00,2020-11-11 00:22:01+00:00,446.0,13.0,,1194.0,5939.0,2020-06-18 14:44:49+00:00,3.24.0,70.0,DataStax Python Driver for Apache Cassandra.,3426.0,2240.0,174.0,32,https://pypi.org/project/cassandra-driver,2020-06-18 14:44:49+00:00,1186.0,596172.0,596172.0,https://anaconda.org/conda-forge/cassandra-driver,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n66,imageio,imageio/imageio,imageio,,,image,,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45+00:00,2020-11-30 16:37:54+00:00,2020-11-20 21:22:15+00:00,153.0,58.0,266.0,801.0,1122.0,2020-07-10 07:45:22+00:00,2.9.0,31.0,Python library for reading and writing image data.,36224.0,32386.0,67.0,32,https://pypi.org/project/imageio,2020-07-06 13:20:41+00:00,3838.0,1765481.0,1765481.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n67,Fastai,fastai/fastai,fastai,,,ml-frameworks,['pytorch'],https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36+00:00,2020-11-27 22:01:21+00:00,2020-11-26 17:58:04+00:00,6842.0,43.0,1246.0,19982.0,1558.0,2020-11-23 18:06:15+00:00,2.1.7,107.0,\"The fastai deep learning library, plus lessons and tutorials.\",184.0,,472.0,31,https://pypi.org/project/fastai,2020-11-23 18:06:15+00:00,184.0,119580.0,119580.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n68,ChatterBot,gunthercox/ChatterBot,chatterbot,,,nlp,,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00+00:00,2020-11-22 14:10:06+00:00,2020-08-20 21:16:14+00:00,3563.0,190.0,1217.0,10575.0,1847.0,2020-08-22 18:42:43+00:00,1.0.8,86.0,\"ChatterBot is a machine learning, conversational dialog engine for creating chat bots.\",3575.0,2895.0,103.0,31,https://pypi.org/project/chatterbot,2020-08-22 18:40:36+00:00,680.0,19141.0,19141.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n69,fairseq,pytorch/fairseq,fairseq,,,nlp,['pytorch'],https://github.com/pytorch/fairseq,https://github.com/pytorch/fairseq,MIT,2017-08-29 16:26:12+00:00,2020-11-30 12:41:16+00:00,2020-11-26 07:05:41+00:00,2600.0,530.0,1682.0,10508.0,1634.0,2020-11-21 20:52:27+00:00,0.10.1,12.0,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,241.0,221.0,267.0,31,https://pypi.org/project/fairseq,2020-11-21 20:52:43+00:00,20.0,11274.0,11274.0,,,,True,1,14.0,,,,,,,,,,,,,,,,,,,,,,\n70,pyecharts,pyecharts/pyecharts,pyecharts,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,data-viz,['jupyter'],https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25+00:00,2020-10-30 03:17:30+00:00,2020-10-29 15:09:15+00:00,2256.0,31.0,1296.0,10119.0,1509.0,2020-10-29 15:14:08+00:00,1.9.0,66.0,Python Echarts Plotting Library.,1626.0,1344.0,28.0,31,https://pypi.org/project/pyecharts,2020-10-29 15:14:08+00:00,282.0,25471.0,25471.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n71,flair,flairNLP/flair,flair,,,nlp,['pytorch'],https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,MIT,2018-06-11 11:04:18+00:00,2020-11-30 14:55:58+00:00,2020-11-25 13:45:59+00:00,1369.0,110.0,1261.0,9617.0,2844.0,2020-09-23 10:40:31+00:00,0.6.1,18.0,A very simple framework for state-of-the-art Natural Language Processing (NLP).,567.0,543.0,155.0,31,https://pypi.org/project/flair,2020-11-05 01:34:12+00:00,24.0,37792.0,37792.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n72,wordcloud,amueller/word_cloud,wordcloud,,,data-viz,,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59+00:00,2020-11-11 22:07:32+00:00,2020-11-11 21:35:51+00:00,1983.0,92.0,343.0,7653.0,540.0,2020-11-11 21:41:02+00:00,1.8.1,16.0,A little word cloud generator in Python.,8669.0,7565.0,58.0,31,https://pypi.org/project/wordcloud,2020-11-11 21:41:02+00:00,1104.0,270391.0,270391.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n73,Catboost,catboost/catboost,catboost,,,ml-frameworks,,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04+00:00,2020-11-30 16:47:26+00:00,2020-11-30 16:47:21+00:00,843.0,279.0,1017.0,5544.0,13594.0,2020-11-18 14:56:33+00:00,0.24.3,89.0,\"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..\",81.0,,693.0,31,https://pypi.org/project/catboost,2020-08-26 22:16:16+00:00,81.0,662829.0,663985.0,,,,True,2,43964.0,,,,,,,,,,,,,,,,,,,,,,\n74,Hyperopt,hyperopt/hyperopt,hyperopt,,,hyperopt,,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59+00:00,2020-11-18 08:38:03+00:00,2020-11-18 08:38:01+00:00,841.0,320.0,219.0,5227.0,1167.0,2020-10-07 09:52:56+00:00,0.2.5,11.0,Distributed Asynchronous Hyperparameter Optimization in Python.,2773.0,2269.0,83.0,31,https://pypi.org/project/hyperopt,2020-10-07 09:52:56+00:00,504.0,484232.0,484232.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n75,folium,python-visualization/folium,folium,,,geospatial-data,,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35+00:00,2020-11-29 14:52:50+00:00,2020-11-29 11:59:51+00:00,1854.0,143.0,679.0,5011.0,1460.0,2020-05-07 13:33:22+00:00,0.11.0,22.0,Python Data. Leaflet.js Maps.,8439.0,7471.0,116.0,31,https://pypi.org/project/folium,2020-05-07 13:33:22+00:00,968.0,293281.0,293281.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n76,sentencepiece,google/sentencepiece,sentencepiece,,,nlp,,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48+00:00,2020-11-19 00:59:39+00:00,2020-11-13 16:04:54+00:00,590.0,30.0,354.0,4577.0,637.0,2020-10-24 05:57:45+00:00,0.1.94,29.0,Unsupervised text tokenizer for Neural Network-based text generation.,4780.0,4660.0,45.0,31,https://pypi.org/project/sentencepiece,2020-10-24 05:57:45+00:00,120.0,1571440.0,1571757.0,,,,True,1,8585.0,,,,,,,,,,,,,,,,,,,,,,\n77,Tablib,jazzband/tablib,tablib,,,data-loading,,https://github.com/jazzband/tablib,https://github.com/jazzband/tablib,MIT,2011-03-28 02:36:50+00:00,2020-11-29 21:15:35+00:00,2020-11-29 21:11:46+00:00,551.0,36.0,196.0,3807.0,1116.0,2020-05-16 12:46:12+00:00,2.0.0,37.0,\"Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c.\",10914.0,8556.0,109.0,31,https://pypi.org/project/tablib,2020-05-16 12:15:01+00:00,2358.0,625511.0,625511.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n78,Tesseract,madmaze/pytesseract,pytesseract,conda-forge/pytesseract,,ocr,,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49+00:00,2020-11-30 10:17:42+00:00,2020-11-30 10:17:42+00:00,492.0,9.0,230.0,3279.0,343.0,2020-11-20 07:45:12+00:00,0.3.7,23.0,Python-tesseract is an optical character recognition (OCR) tool for python.,8957.0,7529.0,34.0,31,https://pypi.org/project/pytesseract,2020-09-04 13:45:04+00:00,1428.0,789621.0,789621.0,https://anaconda.org/conda-forge/pytesseract,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n79,tensorflow-probability,tensorflow/probability,tensorflow-probability,,,probabilistics,['tensorflow'],https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54+00:00,2020-11-27 14:37:31+00:00,2020-11-25 23:36:28+00:00,822.0,409.0,500.0,3141.0,10054.0,2020-10-09 23:49:08+00:00,0.11.1,32.0,Probabilistic reasoning and statistical analysis in TensorFlow.,253.0,1.0,394.0,31,https://pypi.org/project/tensorflow-probability,2020-11-11 05:06:46+00:00,252.0,263495.0,263495.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n80,Elasticsearch DSL,elastic/elasticsearch-dsl-py,elasticsearch-dsl,,,db-clients,,https://github.com/elastic/elasticsearch-dsl-py,https://github.com/elastic/elasticsearch-dsl-py,Apache-2.0,2014-03-05 16:19:39+00:00,2020-10-31 19:47:58+00:00,2020-10-02 20:29:54+00:00,645.0,97.0,1039.0,3099.0,995.0,2020-09-17 13:45:33+00:00,7.3.0,32.0,High level Python client for Elasticsearch.,5481.0,3925.0,120.0,31,https://pypi.org/project/elasticsearch-dsl,2020-09-17 13:41:36+00:00,1556.0,1094865.0,1094874.0,,,,True,2,18.0,,,,,,,,,,,,,,,,,,,,,,\n81,scikit-optimize,scikit-optimize/scikit-optimize,scikit-optimize,,,hyperopt,,https://github.com/scikit-optimize/scikit-optimize,https://github.com/scikit-optimize/scikit-optimize,BSD-3-Clause,2016-03-20 21:10:54+00:00,2020-11-18 22:50:07+00:00,2020-09-29 13:32:21+00:00,366.0,160.0,352.0,1974.0,1540.0,2020-09-04 09:08:10+00:00,0.8.1,22.0,Sequential model-based optimization with a `scipy.optimize` interface.,1358.0,1198.0,67.0,31,https://pypi.org/project/scikit-optimize,2020-09-04 09:08:10+00:00,160.0,584418.0,584418.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n82,Prometheus Client,prometheus/client_python,prometheus_client,conda-forge/prometheus_client,,db-clients,,https://github.com/prometheus/client_python,https://github.com/prometheus/client_python,Apache-2.0,2015-02-10 22:47:25+00:00,2020-11-24 10:28:49+00:00,2020-11-24 10:28:43+00:00,487.0,27.0,281.0,1906.0,406.0,2020-11-16 13:40:13+00:00,0.9.0,33.0,Prometheus instrumentation library for Python applications.,3738.0,,95.0,31,https://pypi.org/project/prometheus_client,2019-06-20 13:35:09+00:00,3738.0,10790153.0,10790153.0,https://anaconda.org/conda-forge/prometheus_client,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n83,xlrd,python-excel/xlrd,xlrd,,,data-loading,,https://github.com/python-excel/xlrd,https://github.com/python-excel/xlrd,BSD-3-Clause,2012-03-07 04:50:48+00:00,2020-05-01 23:33:10+00:00,2020-02-22 14:03:05+00:00,406.0,3.0,,1823.0,465.0,2018-12-15 17:47:45+00:00,1.2.0,22.0,Please use openpyxl where you can...,71114.0,57540.0,50.0,31,https://pypi.org/project/xlrd,2018-12-15 17:47:45+00:00,13574.0,5876605.0,5876605.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n84,opencv-python,skvark/opencv-python,opencv-python,,,image,,https://github.com/skvark/opencv-python,https://github.com/skvark/opencv-python,MIT,2016-04-08 13:36:40+00:00,2020-11-28 12:14:08+00:00,2020-11-28 12:05:37+00:00,292.0,16.0,349.0,1605.0,607.0,2020-11-03 19:09:10+00:00,46,46.0,\"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..\",12560.0,,26.0,31,https://pypi.org/project/opencv-python,2020-11-02 16:36:07+00:00,12560.0,3515815.0,3515815.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n85,MNE,mne-tools/mne-python,mne,,,medical-data,,https://github.com/mne-tools/mne-python,https://github.com/mne-tools/mne-python,BSD-3-Clause,2011-01-28 03:31:13+00:00,2020-11-30 17:09:10+00:00,2020-11-29 18:35:50+00:00,815.0,305.0,3025.0,1434.0,15609.0,2020-11-30 16:11:19+00:00,0.21.2,49.0,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,924.0,726.0,234.0,31,https://pypi.org/project/mne,2020-11-16 12:57:08+00:00,198.0,42123.0,42123.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n86,influxdb,influxdata/influxdb-python,influxdb,,,db-clients,,https://github.com/influxdata/influxdb-python,https://github.com/influxdata/influxdb-python,MIT,2013-11-05 19:27:16+00:00,2020-11-11 21:23:41+00:00,2020-11-11 21:03:24+00:00,479.0,130.0,366.0,1433.0,961.0,2020-11-11 21:23:41+00:00,5.3.1,54.0,Python client for InfluxDB.,5763.0,3653.0,133.0,31,https://pypi.org/project/influxdb,2020-11-11 21:23:41+00:00,2110.0,1121785.0,1121785.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n87,TF Addons,tensorflow/addons,tensorflow-addons,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17+00:00,2020-11-27 12:34:49+00:00,2020-11-26 11:43:39+00:00,390.0,157.0,580.0,1104.0,1276.0,2020-08-27 03:29:56+00:00,0.11.2,23.0,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,1623.0,1614.0,140.0,31,https://pypi.org/project/tensorflow-addons,2020-10-11 19:34:04+00:00,9.0,516707.0,516707.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n88,fastText,facebookresearch/fastText,fasttext,,,nlp,,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42+00:00,2020-10-31 15:50:36+00:00,2020-07-18 00:20:40+00:00,4198.0,400.0,586.0,21942.0,379.0,2020-04-28 09:54:50+00:00,0.9.2,35.0,Library for fast text representation and classification.,1508.0,1318.0,58.0,30,https://pypi.org/project/fasttext,2020-04-28 09:54:50+00:00,190.0,114996.0,114996.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n89,zipline,quantopian/zipline,zipline,,,financial-data,,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29+00:00,2020-10-28 13:36:56+00:00,2020-10-14 16:36:49+00:00,3590.0,318.0,644.0,12824.0,6226.0,2020-10-05 15:46:20.429000+00:00,1.4.1,30.0,\"Zipline, a Pythonic Algorithmic Trading Library.\",720.0,641.0,149.0,30,https://pypi.org/project/zipline,2020-10-05 15:46:20.429000+00:00,79.0,3663.0,3663.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n90,Prophet,facebook/prophet,fbprophet,,,time-series-data,,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08+00:00,2020-11-25 10:14:38+00:00,2020-11-10 19:21:23+00:00,3330.0,85.0,1384.0,11843.0,602.0,2020-09-05 16:12:50+00:00,0.7.1,14.0,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,75.0,,120.0,30,https://pypi.org/project/fbprophet,2020-09-05 16:12:50+00:00,75.0,799544.0,799555.0,,,,True,1,507.0,,,,,,,,,,,,,,,,,,,,,,\n91,horovod,horovod/horovod,horovod,,,distributed-ml,,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59+00:00,2020-11-30 16:33:11+00:00,2020-11-30 16:33:10+00:00,1681.0,254.0,1341.0,10480.0,802.0,2020-11-23 23:57:42+00:00,0.21.0,60.0,\"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.\",312.0,292.0,107.0,30,https://pypi.org/project/horovod,2020-10-01 14:54:24+00:00,20.0,127671.0,127671.0,,,,True,1,,stable/horovod,,,,,,,,,,,,,,,,,,,,,\n92,jax,google/jax,jax,,,ml-frameworks,,https://github.com/google/jax,https://github.com/google/jax,Apache-2.0,2018-10-25 21:25:02+00:00,2020-11-30 17:14:33+00:00,2020-11-30 17:07:15+00:00,876.0,685.0,1250.0,10411.0,6100.0,2020-11-18 22:54:29+00:00,0.2.6,85.0,\"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.\",848.0,802.0,233.0,30,https://pypi.org/project/jax,2020-11-18 22:54:29+00:00,46.0,47098.0,47098.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n93,Rasa,RasaHQ/rasa,rasa,,,nlp,['tensorflow'],https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49+00:00,2020-11-30 17:27:18+00:00,2020-11-30 15:51:37+00:00,3150.0,499.0,4223.0,10234.0,23634.0,2020-11-26 16:29:57+00:00,2.0.8,166.0,\"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..\",32.0,,446.0,30,https://pypi.org/project/rasa,2020-11-24 11:10:05+00:00,32.0,40331.0,40331.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n94,TFlearn,tflearn/tflearn,tflearn,,,ml-frameworks,['tensorflow'],https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,MIT,2016-03-31 12:05:53+00:00,2020-11-30 04:35:03+00:00,2020-11-30 04:34:51+00:00,2423.0,574.0,358.0,9467.0,613.0,2020-11-11 19:26:11+00:00,0.5.0,8.0,Deep learning library featuring a higher-level API for TensorFlow.,3268.0,2787.0,128.0,30,https://pypi.org/project/tflearn,2020-11-11 19:13:47+00:00,481.0,17875.0,17875.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n95,Vowpal Wabbit,VowpalWabbit/vowpal_wabbit,vowpalwabbit,,,ml-frameworks,,https://github.com/VowpalWabbit/vowpal_wabbit,https://github.com/VowpalWabbit/vowpal_wabbit,BSD-3-Clause,2009-07-31 19:36:58+00:00,2020-11-30 13:17:23+00:00,2020-11-25 17:17:50+00:00,1696.0,161.0,826.0,7326.0,8924.0,2020-11-12 14:41:09+00:00,8.9.0,12.0,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,94.0,86.0,294.0,30,https://pypi.org/project/vowpalwabbit,2020-11-12 14:41:09+00:00,8.0,23137.0,23137.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n96,Prefect,PrefectHQ/prefect,prefect,conda-forge/prefect,,data-pipelines,,https://github.com/PrefectHQ/prefect,https://github.com/PrefectHQ/prefect,Apache-2.0,2018-06-29 21:59:26+00:00,2020-11-30 17:49:17+00:00,2020-11-30 16:25:41+00:00,444.0,215.0,1213.0,5464.0,12530.0,2020-11-24 19:03:52+00:00,0.13.17,74.0,The easiest way to automate your data.,198.0,196.0,154.0,30,https://pypi.org/project/prefect,2020-11-24 19:03:52+00:00,2.0,38754.0,38754.0,https://anaconda.org/conda-forge/prefect,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n97,SpeechRecognition,Uberi/speech_recognition,SpeechRecognition,,,audio,,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54+00:00,2020-10-22 22:42:08+00:00,2019-07-02 17:29:47+00:00,1794.0,191.0,268.0,5248.0,360.0,2017-12-05 14:05:14+00:00,3.8.1,52.0,\"Speech recognition module for Python, supporting several engines and APIs, online and offline.\",6951.0,5863.0,41.0,30,https://pypi.org/project/SpeechRecognition,2017-12-05 13:58:29+00:00,1088.0,113221.0,113221.0,,,,False,1,,,,,,,,,,,,,,,,,,,,,,,\n98,Pydub,jiaaro/pydub,pydub,,,audio,,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38+00:00,2020-11-15 12:24:52+00:00,2020-10-03 22:45:13+00:00,665.0,164.0,230.0,4934.0,721.0,2020-06-03 15:23:56+00:00,0.24.1,66.0,Manipulate audio with a simple and easy high level interface.,6449.0,5095.0,79.0,30,https://pypi.org/project/pydub,2020-06-03 15:23:56+00:00,1354.0,130297.0,130297.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n99,imbalanced-learn,scikit-learn-contrib/imbalanced-learn,imbalanced-learn,,,others,['sklearn'],https://github.com/scikit-learn-contrib/imbalanced-learn,https://github.com/scikit-learn-contrib/imbalanced-learn,MIT,2014-08-16 05:08:26+00:00,2020-11-24 15:00:35+00:00,2020-11-03 21:43:11+00:00,1024.0,47.0,399.0,4863.0,701.0,2020-06-09 10:45:32+00:00,0.7.0,26.0,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,3643.0,3363.0,51.0,30,https://pypi.org/project/imbalanced-learn,2020-06-09 10:39:03+00:00,280.0,861700.0,861700.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n100,CuPy,cupy/cupy,cupy,,,gpu-utilities,,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45+00:00,2020-11-30 15:10:28+00:00,2020-11-30 09:48:40+00:00,426.0,353.0,826.0,4694.0,19710.0,2020-11-26 07:02:45+00:00,8.2.0,83.0,A NumPy-compatible array library accelerated by CUDA.,796.0,604.0,250.0,30,https://pypi.org/project/cupy,2020-11-26 07:01:08+00:00,192.0,9040.0,10049.0,,,,True,1,1114.0,,,cupy/cupy,https://hub.docker.com/r/cupy/cupy,2020-11-30 09:53:45.739450+00:00,6.0,47310.0,,,,,,,,,,,,,,,\n101,Optuna,optuna/optuna,optuna,,,hyperopt,,https://github.com/optuna/optuna,https://github.com/optuna/optuna,MIT,2018-02-21 06:12:56+00:00,2020-11-30 14:10:30+00:00,2020-11-30 14:10:29+00:00,423.0,161.0,431.0,3648.0,8164.0,2020-11-04 04:28:46+00:00,2.3.0,33.0,A hyperparameter optimization framework.,800.0,748.0,116.0,30,https://pypi.org/project/optuna,2020-11-04 04:29:39+00:00,52.0,189042.0,189042.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n102,MLxtend,rasbt/mlxtend,mlxtend,conda-forge/mlxtend,,others,['sklearn'],https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16+00:00,2020-11-28 23:18:09+00:00,2020-11-26 04:07:56+00:00,683.0,99.0,258.0,3225.0,1138.0,2020-11-26 04:18:15+00:00,0.18.0,46.0,A library of extension and helper modules for Python's data analysis and machine learning libraries.,2181.0,2086.0,78.0,30,https://pypi.org/project/mlxtend,2020-11-26 04:18:15+00:00,95.0,173780.0,173780.0,https://anaconda.org/conda-forge/mlxtend,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n103,bqplot,bloomberg/bqplot,bqplot,,,data-viz,['jupyter'],https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18+00:00,2020-11-29 14:31:15+00:00,2020-11-05 14:40:35+00:00,404.0,204.0,311.0,2944.0,3193.0,2020-11-05 14:39:24+00:00,0.12.19,87.0,Plotting library for IPython/Jupyter notebooks.,1210.0,1088.0,51.0,30,https://pypi.org/project/bqplot,2020-11-05 14:39:24+00:00,112.0,18999.0,159518.0,,,,True,2,,,,,,,,,bqplot,https://www.npmjs.com/package/bqplot,2020-10-12 19:58:11.526000+00:00,10.0,140519.0,,,,,,,,,,\n104,torchtext,pytorch/text,torchtext,,,nlp,['pytorch'],https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03+00:00,2020-11-30 12:30:42+00:00,2020-11-20 19:30:28+00:00,570.0,248.0,307.0,2570.0,685.0,2020-10-27 16:18:20+00:00,0.8.0-rc2,11.0,Data loaders and abstractions for text and NLP.,3836.0,3154.0,97.0,30,https://pypi.org/project/torchtext,2020-10-27 16:15:26+00:00,682.0,208453.0,208453.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n105,mrjob,Yelp/mrjob,mrjob,,,data-pipelines,,https://github.com/Yelp/mrjob,https://github.com/Yelp/mrjob,Apache-2.0,2010-10-13 18:35:21+00:00,2020-11-16 22:20:27+00:00,2020-11-16 22:20:52+00:00,590.0,199.0,1089.0,2523.0,8622.0,2020-09-17 22:26:01+00:00,0.7.4,60.0,Run MapReduce jobs on Hadoop or Amazon Web Services.,730.0,618.0,142.0,30,https://pypi.org/project/mrjob,2020-09-17 22:26:01+00:00,112.0,180389.0,180389.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n106,PyQtGraph,pyqtgraph/pyqtgraph,pyqtgraph,conda-forge/pyqtgraph,,data-viz,,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21+00:00,2020-11-29 03:34:13+00:00,2020-11-27 15:57:26+00:00,767.0,267.0,421.0,2222.0,2272.0,2020-06-08 23:50:26+00:00,0.11.0,11.0,Fast data visualization and GUI tools for scientific / engineering applications.,890.0,,176.0,30,https://pypi.org/project/pyqtgraph,2020-06-08 23:50:26+00:00,890.0,32624.0,32624.0,https://anaconda.org/conda-forge/pyqtgraph,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n107,confluent-kafka-python,confluentinc/confluent-kafka-python,confluent-kafka,,,db-clients,,https://github.com/confluentinc/confluent-kafka-python,https://github.com/confluentinc/confluent-kafka-python,Apache-2.0,2016-04-14 07:40:41+00:00,2020-11-29 21:12:31+00:00,2020-11-24 15:38:23+00:00,538.0,230.0,463.0,2049.0,628.0,2020-07-22 08:23:51+00:00,1.5.0,20.0,Confluent's Kafka Python Client.,2170.0,1868.0,66.0,30,https://pypi.org/project/confluent-kafka,2020-07-22 07:50:57+00:00,302.0,1051813.0,1051813.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n108,pyodbc,mkleehammer/pyodbc,pyodbc,,,db-clients,,https://github.com/mkleehammer/pyodbc,https://github.com/mkleehammer/pyodbc,MIT,2008-10-03 15:19:37+00:00,2020-11-26 00:31:04+00:00,2020-10-26 13:28:37+00:00,407.0,215.0,508.0,1922.0,347.0,2020-02-08 18:09:57+00:00,4.0.30,48.0,Python ODBC bridge.,3262.0,,36.0,30,https://pypi.org/project/pyodbc,2020-02-10 15:43:28+00:00,3262.0,4194208.0,4194208.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n109,smart-open,RaRe-Technologies/smart_open,smart-open,,,data-loading,,https://github.com/RaRe-Technologies/smart_open,https://github.com/RaRe-Technologies/smart_open,MIT,2015-01-02 13:05:52+00:00,2020-11-29 12:45:30+00:00,2020-11-27 06:13:29+00:00,261.0,69.0,222.0,1842.0,821.0,2020-11-27 06:14:57+00:00,4.0.1,44.0,\"Utils for streaming large files (S3, HDFS, gzip, bz2...).\",640.0,,68.0,30,https://pypi.org/project/smart-open,2020-11-27 06:14:05+00:00,640.0,6225613.0,6225613.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n110,mysqlclient,PyMySQL/mysqlclient-python,mysqlclient,conda-forge/mysqlclient,,db-clients,,https://github.com/PyMySQL/mysqlclient-python,https://github.com/PyMySQL/mysqlclient-python,GPL-2.0,2014-04-28 05:09:06+00:00,2020-10-14 15:12:51+00:00,2020-07-04 00:52:49+00:00,300.0,6.0,238.0,1831.0,961.0,2020-07-03 03:55:19+00:00,2.0.1,29.0,MySQL database connector for Python (with Python 3 support).,6768.0,,63.0,30,https://pypi.org/project/mysqlclient,2020-07-03 03:55:19+00:00,6768.0,2013438.0,2013541.0,https://anaconda.org/conda-forge/mysqlclient,,,False,2,5153.0,,,,,,,,,,,,,,,,,,,,,,\n111,python-magic,ahupp/python-magic,python-magic,,,data-loading,,https://github.com/ahupp/python-magic,https://github.com/ahupp/python-magic,MIT,2010-03-31 22:40:33+00:00,2020-11-06 19:21:23+00:00,2020-11-06 19:21:16+00:00,202.0,30.0,124.0,1767.0,242.0,2020-05-06 02:30:25+00:00,0.4.18,18.0,A python wrapper for libmagic.,15584.0,10452.0,46.0,30,https://pypi.org/project/python-magic,2020-05-06 02:30:25+00:00,5132.0,1632673.0,1632673.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n112,pandas-datareader,pydata/pandas-datareader,pandas-datareader,,,data-loading,['pandas'],https://github.com/pydata/pandas-datareader,https://github.com/pydata/pandas-datareader,BSD-3-Clause,2015-01-15 00:34:19+00:00,2020-11-25 09:48:27+00:00,2020-09-02 15:23:21+00:00,489.0,68.0,368.0,1733.0,762.0,2020-07-10 10:04:14+00:00,0.9.0,21.0,Extract data from a wide range of Internet sources into a pandas DataFrame.,8231.0,6825.0,76.0,30,https://pypi.org/project/pandas-datareader,2020-07-10 10:04:14+00:00,1406.0,115865.0,115865.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n113,Motor,mongodb/motor,motor,,,db-clients,,https://github.com/mongodb/motor,https://github.com/mongodb/motor,Apache-2.0,2013-01-11 21:34:44+00:00,2020-09-24 23:47:35+00:00,2020-09-24 23:47:34+00:00,140.0,1.0,,1575.0,1609.0,2020-09-24 23:26:10+00:00,2.3.0,34.0,Motor - the async Python driver for MongoDB and Tornado or asyncio.,4962.0,3172.0,28.0,30,https://pypi.org/project/motor,2020-09-24 23:19:56+00:00,1790.0,148808.0,148808.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n114,numexpr,pydata/numexpr,numexpr,,,data-containers,,https://github.com/pydata/numexpr,https://github.com/pydata/numexpr,MIT,2013-11-30 22:33:48+00:00,2020-11-14 01:04:48+00:00,2020-09-24 01:49:10+00:00,161.0,53.0,242.0,1479.0,651.0,2020-01-05 17:55:57+00:00,2.7.1,38.0,\"Fast numerical array expression evaluator for Python, NumPy, PyTables, pandas, bcolz and more.\",5482.0,,51.0,30,https://pypi.org/project/numexpr,2020-01-05 17:55:57+00:00,5482.0,877242.0,877242.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n115,Rasterio,mapbox/rasterio,rasterio,,,geospatial-data,,https://github.com/mapbox/rasterio,https://github.com/mapbox/rasterio,BSD-3-Clause,2013-11-04 16:36:27+00:00,2020-11-30 16:44:34+00:00,2020-11-24 00:12:08+00:00,373.0,137.0,1172.0,1359.0,3226.0,2020-10-21 01:56:29+00:00,1.1.8,115.0,Rasterio reads and writes geospatial raster datasets.,3271.0,2421.0,106.0,30,https://pypi.org/project/rasterio,2020-10-21 01:56:29+00:00,850.0,197080.0,197090.0,,,,True,2,674.0,,,,,,,,,,,,,,,,,,,,,,\n116,Fiona,Toblerity/Fiona,fiona,,,geospatial-data,,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00+00:00,2020-11-30 08:12:54+00:00,2020-11-30 07:11:40+00:00,165.0,69.0,544.0,755.0,1093.0,2020-11-17 18:32:17+00:00,1.8.18,96.0,Fiona reads and writes geographic data files.,5665.0,4477.0,65.0,30,https://pypi.org/project/fiona,2020-11-17 18:32:17+00:00,1188.0,571344.0,571344.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n117,Nilearn,nilearn/nilearn,nilearn,,,medical-data,['sklearn'],https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23+00:00,2020-11-30 09:33:44+00:00,2020-11-25 14:53:29+00:00,370.0,378.0,994.0,684.0,9263.0,2020-11-12 11:44:49+00:00,0.7.0,35.0,Machine learning for NeuroImaging in Python.,1106.0,804.0,157.0,30,https://pypi.org/project/nilearn,2020-11-12 11:44:49+00:00,302.0,19010.0,19010.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n118,NiBabel,nipy/nibabel,nibabel,,,medical-data,,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30+00:00,2020-11-29 12:35:01+00:00,2020-11-29 12:34:26+00:00,209.0,109.0,277.0,374.0,4912.0,2020-11-28 22:19:50+00:00,3.2.1,32.0,Python package to access a cacophony of neuro-imaging file formats.,4486.0,3222.0,89.0,30,https://pypi.org/project/nibabel,2020-11-28 22:18:23+00:00,1264.0,62594.0,62594.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n119,You-Get,soimort/you-get,you-get,,,web-scraping,,https://github.com/soimort/you-get,https://github.com/soimort/you-get,MIT,2012-08-20 15:53:36+00:00,2020-11-23 18:02:51+00:00,2020-11-18 15:35:59+00:00,7734.0,346.0,,37698.0,2340.0,2020-11-18 15:43:18+00:00,0.4.1488,158.0,Dumb downloader that scrapes the web.,18.0,,221.0,29,https://pypi.org/project/you-get,2020-10-27 17:19:58+00:00,18.0,25020.0,28864.0,,,,True,1,326798.0,,you-get,,,,,,,,,,,,,,,,,,,,\n120,Face Recognition,ageitgey/face_recognition,face_recognition,,,image,['pytorch'],https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39+00:00,2020-11-26 13:48:32+00:00,2020-09-26 15:32:59+00:00,10340.0,545.0,523.0,37406.0,211.0,2018-08-21 18:34:21+00:00,1.2.3,21.0,The world's simplest facial recognition api for Python and the command line.,406.0,,45.0,29,https://pypi.org/project/face_recognition,2018-08-21 18:34:21+00:00,406.0,33747.0,33757.0,,,,True,2,433.0,,,,,,,,,,,,,,,,,,,,,,\n121,Glances,nicolargo/glances,glances,,,system-monitoring,,https://github.com/nicolargo/glances,https://github.com/nicolargo/glances,LGPL-3.0,2011-12-04 08:49:15+00:00,2020-11-23 12:49:08+00:00,2020-11-21 17:34:32+00:00,1117.0,187.0,1099.0,17220.0,3733.0,2020-08-20 08:36:13+00:00,3.1.5,50.0,\"Glances an Eye on your system. A top/htop alternative for GNU/Linux, BSD, Mac OS and Windows operating systems.\",296.0,246.0,132.0,29,https://pypi.org/project/glances,2020-08-19 08:51:13+00:00,50.0,41818.0,41824.0,,,,False,1,398.0,,,,,,,,,,,,,,,,,,,,,,\n122,Magenta,magenta/magenta,magenta,,,audio,['tensorflow'],https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40+00:00,2020-11-29 22:52:08+00:00,2020-11-12 19:09:28+00:00,3222.0,281.0,529.0,16018.0,1367.0,2020-11-12 19:17:18+00:00,2.1.3,66.0,Magenta: Music and Art Generation with Machine Intelligence.,277.0,242.0,141.0,29,https://pypi.org/project/magenta,2020-11-12 19:17:18+00:00,35.0,3755.0,3755.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n123,PaddlePaddle,PaddlePaddle/Paddle,paddlepaddle,,,ml-frameworks,['paddle'],https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08+00:00,2020-11-30 17:06:13+00:00,2020-11-30 17:06:12+00:00,3256.0,1902.0,10121.0,13390.0,15069.0,2020-10-30 03:37:50+00:00,2.0.0-rc0,40.0,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,27.0,19.0,473.0,29,https://pypi.org/project/paddlepaddle,2020-10-27 06:17:27+00:00,8.0,5666.0,5964.0,,,,True,3,15244.0,,,,,,,,,,,,,,,,,,,,,,\n124,Faiss,facebookresearch/faiss,faiss,,,nn-search,,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05+00:00,2020-11-30 16:41:55+00:00,2020-11-30 16:41:47+00:00,1987.0,76.0,1191.0,11675.0,406.0,2020-10-22 13:28:27+00:00,1.6.4,9.0,A library for efficient similarity search and clustering of dense vectors.,293.0,278.0,69.0,29,https://pypi.org/project/faiss,2019-04-16 14:14:20+00:00,15.0,10991.0,10991.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n125,Requests-HTML,psf/requests-html,requests-html,,,web-scraping,,https://github.com/psf/requests-html,https://github.com/psf/requests-html,MIT,2018-02-24 20:11:02+00:00,2020-10-27 20:08:49+00:00,2020-05-10 19:40:04+00:00,757.0,131.0,187.0,11300.0,449.0,2019-02-18 21:38:41+00:00,0.10.0,36.0,Pythonic HTML Parsing for Humans.,3646.0,3282.0,62.0,29,https://pypi.org/project/requests-html,2019-02-17 20:14:17+00:00,364.0,295797.0,295797.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n126,newspaper3k,codelucas/newspaper,newspaper3k,,,web-scraping,,https://github.com/codelucas/newspaper,https://github.com/codelucas/newspaper,MIT,2013-11-25 09:50:50+00:00,2020-11-28 16:44:55+00:00,2020-09-02 06:54:25+00:00,1681.0,413.0,240.0,10429.0,651.0,2018-09-28 04:58:18+00:00,0.2.8,18.0,\"News, full-text, and article metadata extraction in Python 3. Advanced docs:.\",2497.0,2053.0,103.0,29,https://pypi.org/project/newspaper3k,2018-09-28 04:58:18+00:00,444.0,29821.0,29821.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n127,Turi Create,apple/turicreate,turicreate,,,ml-frameworks,,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04+00:00,2020-11-18 17:14:31+00:00,2020-10-13 23:52:18+00:00,1057.0,465.0,1236.0,10004.0,1565.0,2020-09-30 22:51:40+00:00,6.4.1,31.0,Turi Create simplifies the development of custom machine learning models.,247.0,213.0,80.0,29,https://pypi.org/project/turicreate,2020-09-30 22:51:40+00:00,34.0,13337.0,13431.0,,,,True,3,3303.0,,,,,,,,,,,,,,,,,,,,,,\n128,Lime,marcotcr/lime,lime,,,interpretability,,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10+00:00,2020-11-22 17:52:07+00:00,2020-09-10 23:09:42+00:00,1300.0,35.0,420.0,8155.0,501.0,2020-04-03 22:05:03+00:00,0.2.0.0,37.0,Lime: Explaining the predictions of any machine learning classifier.,1034.0,906.0,55.0,29,https://pypi.org/project/lime,2020-04-03 22:04:32+00:00,128.0,177734.0,177734.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n129,Annoy,spotify/annoy,annoy,,,nn-search,,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40+00:00,2020-11-28 00:33:04+00:00,2020-10-02 12:47:02+00:00,841.0,24.0,263.0,7849.0,778.0,2020-09-18 16:07:59+00:00,1.17.0,43.0,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,1701.0,1341.0,66.0,29,https://pypi.org/project/annoy,2020-09-18 16:07:59+00:00,360.0,277357.0,277357.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n130,Pattern,clips/pattern,pattern,,,web-scraping,,https://github.com/clips/pattern,https://github.com/clips/pattern,BSD-3-Clause,2011-05-03 15:29:01+00:00,2020-10-07 11:17:30+00:00,2020-04-25 12:40:40+00:00,1499.0,159.0,75.0,7680.0,1434.0,,,2.0,\"Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis..\",1255.0,989.0,30.0,29,https://pypi.org/project/pattern,2018-08-18 15:11:17+00:00,266.0,84221.0,84221.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n131,fuzzywuzzy,seatgeek/fuzzywuzzy,fuzzywuzzy,,,nlp,,https://github.com/seatgeek/fuzzywuzzy,https://github.com/seatgeek/fuzzywuzzy,GPL-2.0,2011-07-08 19:32:34+00:00,2020-10-14 15:02:15+00:00,2020-02-13 22:13:43+00:00,792.0,84.0,94.0,7617.0,379.0,2020-02-13 22:14:12+00:00,0.18.0,27.0,Fuzzy String Matching in Python.,10382.0,7176.0,67.0,29,https://pypi.org/project/fuzzywuzzy,2020-02-13 21:06:25+00:00,3206.0,2787449.0,2787449.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,\n132,TextBlob,sloria/TextBlob,textblob,,,nlp,,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18+00:00,2020-11-13 14:20:23+00:00,2020-11-13 14:19:03+00:00,941.0,69.0,150.0,7418.0,535.0,2019-02-24 23:03:17+00:00,0.15.3,55.0,\"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..\",11509.0,9017.0,33.0,29,https://pypi.org/project/textblob,2019-02-24 23:03:17+00:00,2492.0,323367.0,323368.0,,,,True,2,88.0,,,,,,,,,,,,,,,,,,,,,,\n133,MoviePy,Zulko/moviepy,moviepy,,,image,,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28+00:00,2020-11-25 17:36:43+00:00,2020-11-25 17:36:42+00:00,985.0,329.0,627.0,7090.0,938.0,2020-05-07 16:29:35+00:00,1.0.3,84.0,Video editing with Python.,6298.0,5168.0,132.0,29,https://pypi.org/project/moviepy,2020-10-05 00:26:29+00:00,1130.0,122826.0,122826.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n134,tensorboardX,lanpa/tensorboardX,tensorboardX,,,ml-experiments,,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19+00:00,2020-10-14 17:46:25+00:00,2020-07-05 17:29:00+00:00,764.0,72.0,340.0,6669.0,460.0,2020-07-05 17:54:10+00:00,2.0,12.0,\"tensorboard for pytorch (and chainer, mxnet, numpy, ...).\",10214.0,8880.0,64.0,29,https://pypi.org/project/tensorboardX,2019-12-31 14:04:21+00:00,1334.0,300818.0,300824.0,,,,True,1,268.0,,,,,,,,,,,,,,,,,,,,,,\n135,Albumentations,albumentations-team/albumentations,albumentations,,,image,['pytorch'],https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50+00:00,2020-11-29 14:30:07+00:00,2020-11-29 14:29:07+00:00,857.0,148.0,218.0,6613.0,606.0,2020-11-29 14:30:07+00:00,0.5.2,44.0,Fast image augmentation library and easy to use wrapper around other libraries. Documentation:..,2204.0,2140.0,68.0,29,https://pypi.org/project/albumentations,2020-11-29 14:30:07+00:00,64.0,62974.0,62974.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n136,pandas-profiling,pandas-profiling/pandas-profiling,pandas-profiling,conda-forge/pandas-profiling,,data-viz,\"['jupyter', 'pandas']\",https://github.com/pandas-profiling/pandas-profiling,https://github.com/pandas-profiling/pandas-profiling,MIT,2016-01-09 23:47:55+00:00,2020-11-29 23:38:47+00:00,2020-11-29 23:35:31+00:00,960.0,42.0,352.0,6360.0,725.0,2020-09-03 10:11:24+00:00,2.9.0,24.0,Create HTML profiling reports from pandas DataFrame objects.,2680.0,2520.0,61.0,29,https://pypi.org/project/pandas-profiling,2020-09-03 10:11:24+00:00,160.0,238629.0,238629.0,https://anaconda.org/conda-forge/pandas-profiling,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n137,UMAP,lmcinnes/umap,umap-learn,,,data-viz,,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17+00:00,2020-11-26 19:30:38+00:00,2020-11-26 19:30:32+00:00,459.0,196.0,204.0,4292.0,1269.0,2020-07-02 15:56:06+00:00,0.4.6,33.0,Uniform Manifold Approximation and Projection.,226.0,,67.0,29,https://pypi.org/project/umap-learn,2020-11-26 16:29:14+00:00,226.0,119844.0,119844.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n138,TinyDB,msiemens/tinydb,tinydb,,,data-containers,,https://github.com/msiemens/tinydb,https://github.com/msiemens/tinydb,MIT,2013-07-12 23:31:13+00:00,2020-11-14 21:04:05+00:00,2020-11-14 21:00:53+00:00,353.0,15.0,227.0,3854.0,591.0,2020-11-14 21:02:31+00:00,4.3.0,58.0,TinyDB is a lightweight document oriented database optimized for your happiness :).,1118.0,,60.0,29,https://pypi.org/project/tinydb,2020-11-14 21:02:29+00:00,1118.0,156623.0,156623.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n139,kaggle,Kaggle/kaggle-api,kaggle,,,ml-experiments,,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39+00:00,2020-11-30 14:09:42+00:00,2020-10-21 20:04:48+00:00,753.0,161.0,105.0,3662.0,136.0,2020-11-30 13:37:18+00:00,1.5.10,47.0,Official Kaggle API.,4467.0,3903.0,35.0,29,https://pypi.org/project/kaggle,2020-11-30 13:37:18+00:00,564.0,66063.0,66063.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n140,yfinance,ranaroussi/yfinance,yfinance,ranaroussi/yfinance,,financial-data,,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15+00:00,2020-11-29 01:50:19+00:00,2020-09-25 12:47:40+00:00,910.0,273.0,163.0,3511.0,243.0,2020-10-05 12:19:44+00:00,0.1.55,20.0,Yahoo! Finance market data downloader (+faster Pandas Datareader).,2127.0,2101.0,25.0,29,https://pypi.org/project/yfinance,2020-10-05 12:19:44+00:00,26.0,104970.0,104970.0,https://anaconda.org/ranaroussi/yfinance,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n141,sacred,IDSIA/sacred,sacred,,,ml-experiments,,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29+00:00,2020-11-26 21:37:36+00:00,2020-11-09 12:55:29+00:00,308.0,92.0,384.0,3199.0,1293.0,2020-11-26 21:37:36+00:00,0.8.2,26.0,\"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.\",884.0,730.0,88.0,29,https://pypi.org/project/sacred,2019-11-27 12:52:46+00:00,154.0,17026.0,17026.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n142,dyNET,clab/dynet,dyNET,,,ml-frameworks,,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21+00:00,2020-10-22 07:16:17+00:00,2020-10-22 07:16:12+00:00,692.0,255.0,657.0,3149.0,3260.0,2020-10-21 14:31:01+00:00,2.1.2,24.0,DyNet: The Dynamic Neural Network Toolkit.,196.0,158.0,155.0,29,https://pypi.org/project/dyNET,2020-10-21 14:31:01+00:00,38.0,9033.0,9052.0,,,,True,3,965.0,,,,,,,,,,,,,,,,,,,,,,\n143,Koalas,databricks/koalas,koalas,conda-forge/koalas,,data-containers,['spark'],https://github.com/databricks/koalas,https://github.com/databricks/koalas,Apache-2.0,2019-01-03 21:46:54+00:00,2020-11-30 17:25:25+00:00,2020-11-27 01:57:00+00:00,290.0,78.0,415.0,2505.0,1377.0,2020-11-14 00:42:03+00:00,1.4.0,41.0,Koalas: pandas API on Apache Spark.,63.0,62.0,47.0,29,https://pypi.org/project/koalas,2020-11-14 00:41:25+00:00,1.0,990784.0,990833.0,https://anaconda.org/conda-forge/koalas,,,True,2,987.0,,,,,,,,,,,,,,,,,,,,,,\n144,Keras Tuner,keras-team/keras-tuner,keras-tuner,,,hyperopt,['keras'],https://github.com/keras-team/keras-tuner,https://github.com/keras-team/keras-tuner,Apache-2.0,2019-06-06 22:38:21+00:00,2020-11-29 20:46:39+00:00,2020-11-20 19:14:40+00:00,243.0,145.0,130.0,2171.0,786.0,2020-11-20 19:13:23+00:00,1.0.2,5.0,Hyperparameter tuning for humans.,294.0,292.0,27.0,29,https://pypi.org/project/keras-tuner,2020-11-20 19:00:59+00:00,2.0,790983.0,790983.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n145,HoloViews,holoviz/holoviews,holoviews,,,data-viz,['jupyter'],https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22+00:00,2020-11-30 16:48:02+00:00,2020-11-30 15:56:56+00:00,284.0,661.0,1801.0,1699.0,10058.0,2020-10-28 20:10:59+00:00,1.13.5,55.0,\"With Holoviews, your data visualizes itself.\",170.0,,97.0,29,https://pypi.org/project/holoviews,2020-10-26 13:55:28+00:00,170.0,93190.0,101067.0,,,,True,2,,,,,,,,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,2020-05-24 13:49:54.205000+00:00,,7877.0,,,,,,,,,,\n146,Lifelines,CamDavidsonPilon/lifelines,lifelines,,,medical-data,,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42+00:00,2020-11-30 00:21:40+00:00,2020-11-30 00:21:39+00:00,394.0,180.0,579.0,1496.0,2053.0,2020-10-26 23:27:39+00:00,0.25.6,151.0,Survival analysis in Python.,567.0,441.0,88.0,29,https://pypi.org/project/lifelines,2020-10-26 23:27:39+00:00,126.0,125958.0,125958.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n147,SageMaker SDK,aws/sagemaker-python-sdk,sagemaker,,,ml-experiments,\"['mxnet', 'tensorflow']\",https://github.com/aws/sagemaker-python-sdk,https://github.com/aws/sagemaker-python-sdk,Apache-2.0,2017-11-14 01:03:33+00:00,2020-11-24 11:27:26+00:00,2020-11-17 20:41:47+00:00,524.0,180.0,505.0,1261.0,1692.0,2020-11-17 20:41:56+00:00,2.16.3.post0,288.0,A library for training and deploying machine learning models on Amazon SageMaker.,536.0,508.0,150.0,29,https://pypi.org/project/sagemaker,2020-11-17 20:43:56+00:00,28.0,259083.0,259083.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n148,PyTables,PyTables/PyTables,tables,,,data-containers,,https://github.com/PyTables/PyTables,https://github.com/PyTables/PyTables,BSD-2-Clause,2011-06-03 19:44:46+00:00,2020-11-28 10:21:46+00:00,2020-11-28 10:21:33+00:00,180.0,151.0,436.0,984.0,3833.0,2019-10-30 19:33:37+00:00,3.6.1,25.0,A Python package to manage extremely large amounts of data.,3754.0,,94.0,29,https://pypi.org/project/tables,2019-10-30 19:33:37+00:00,3754.0,678978.0,678980.0,,,,True,2,124.0,,,,,,,,,,,,,,,,,,,,,,\n149,py2neo,technige/py2neo,py2neo,,,db-clients,,https://github.com/technige/py2neo,https://github.com/technige/py2neo,Apache-2.0,2011-07-03 10:01:07+00:00,2020-11-28 02:10:20+00:00,2020-11-28 00:23:48+00:00,196.0,25.0,680.0,950.0,2718.0,2020-11-21 09:50:58+00:00,2020.1.1,102.0,Py2neo is a comprehensive toolkit for working with Neo4j from within Python applications or from the command line.,1114.0,,31.0,29,https://pypi.org/project/py2neo,2020-11-21 09:51:22+00:00,1114.0,84665.0,84665.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n150,TensorFlow Transform,tensorflow/transform,tensorflow-transform,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53+00:00,2020-11-25 10:24:17+00:00,2020-11-25 10:24:11+00:00,162.0,33.0,112.0,837.0,546.0,2020-11-04 22:48:52+00:00,0.25.0,32.0,Input pipeline framework.,408.0,366.0,27.0,29,https://pypi.org/project/tensorflow-transform,2020-11-04 23:07:30+00:00,42.0,4970039.0,4970039.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n151,snakemake,snakemake/snakemake,snakemake,bioconda/snakemake,,ml-experiments,,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2019-10-04 14:58:11+00:00,2020-11-27 20:36:15+00:00,2020-11-23 09:23:06+00:00,170.0,296.0,193.0,753.0,3906.0,2020-11-23 11:00:07+00:00,5.30.1,154.0,\"This is the development home of the workflow management system Snakemake. For general information, see.\",974.0,686.0,189.0,29,https://pypi.org/project/snakemake,2020-11-23 09:10:47+00:00,288.0,8989.0,8989.0,https://anaconda.org/bioconda/snakemake,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n152,NIPYPE,nipy/nipype,nipype,,,medical-data,,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49+00:00,2020-11-28 17:00:28+00:00,2020-11-28 16:59:01+00:00,439.0,312.0,869.0,531.0,14048.0,2020-09-17 18:44:32+00:00,1.5.1,54.0,Workflows and interfaces for neuroimaging packages.,650.0,458.0,211.0,29,https://pypi.org/project/nipype,2020-08-16 18:30:16+00:00,192.0,13426.0,13426.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n153,pandas-gbq,pydata/pandas-gbq,pandas-gbq,conda-forge/pandas-gbq,,db-clients,['pandas'],https://github.com/pydata/pandas-gbq,https://github.com/pydata/pandas-gbq,BSD-3-Clause,2017-02-08 13:07:19+00:00,2020-11-30 09:47:54+00:00,2020-11-10 17:02:50+00:00,81.0,32.0,152.0,225.0,215.0,2020-11-10 17:16:31+00:00,0.14.1,26.0,Pandas Google BigQuery.,2010.0,1578.0,28.0,29,https://pypi.org/project/pandas-gbq,2020-11-10 17:13:26+00:00,432.0,4895978.0,4895983.0,https://anaconda.org/conda-forge/pandas-gbq,,,True,3,178.0,,,,,,,,,,,,,,,,,,,,,,\n154,spleeter,deezer/spleeter,spleeter,,,audio,['tensorflow'],https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46+00:00,2020-11-08 15:38:36+00:00,2020-10-23 12:14:29+00:00,1481.0,83.0,385.0,14812.0,343.0,2020-10-23 12:15:02+00:00,2.0.1,26.0,Deezer source separation library including pretrained models.,113.0,113.0,17.0,28,https://pypi.org/project/spleeter,2020-10-23 12:15:02+00:00,,4842.0,69786.0,,,,True,2,844279.0,,,,,,,,,,,,,,,,,,,,,,\n155,pyspider,binux/pyspider,pyspider,,,web-scraping,,https://github.com/binux/pyspider,https://github.com/binux/pyspider,Apache-2.0,2014-02-21 19:18:47+00:00,2020-10-22 04:00:13+00:00,2020-08-02 17:34:20+00:00,3539.0,274.0,543.0,14721.0,1181.0,2018-04-18 04:25:22+00:00,0.3.10,17.0,A Powerful Spider(Web Crawler) System in Python.,312.0,282.0,62.0,28,https://pypi.org/project/pyspider,2018-04-18 04:17:18+00:00,30.0,1713.0,1713.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n156,PyTorch Geometric,rusty1s/pytorch_geometric,torch-geometric,,,graph,['pytorch'],https://github.com/rusty1s/pytorch_geometric,https://github.com/rusty1s/pytorch_geometric,MIT,2017-10-06 16:03:03+00:00,2020-11-27 13:02:08+00:00,2020-11-27 06:54:10+00:00,1606.0,614.0,1013.0,9544.0,3890.0,2020-11-27 07:18:21+00:00,1.6.2,25.0,Geometric Deep Learning Extension Library for PyTorch.,12.0,,126.0,28,https://pypi.org/project/torch-geometric,2020-11-27 07:18:41+00:00,12.0,11132.0,11132.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n157,Sonnet,deepmind/sonnet,dm-sonnet,,,ml-frameworks,['tensorflow'],https://github.com/deepmind/sonnet,https://github.com/deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35+00:00,2020-11-30 02:35:15+00:00,2020-10-08 10:01:11+00:00,1242.0,15.0,135.0,8617.0,545.0,2020-03-27 10:36:19+00:00,2.0.0,27.0,TensorFlow-based neural network library.,517.0,435.0,48.0,28,https://pypi.org/project/dm-sonnet,2020-03-27 10:36:10+00:00,82.0,17715.0,17715.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n158,DVC,iterative/dvc,,conda-forge/dvc,,ml-experiments,,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33+00:00,2020-11-30 14:08:42+00:00,2020-11-30 13:11:35+00:00,627.0,533.0,1998.0,6796.0,6073.0,2020-11-24 16:34:13+00:00,1.10.2,100.0,Data Version Control | Git for Data & Models.,478.0,478.0,186.0,28,,,,,1567.0,https://anaconda.org/conda-forge/dvc,,,True,2,15675.0,,dvc,,,,,,,,,,,dvc,dvc,,,,,,,,\n159,Pyro,pyro-ppl/pyro,pyro-ppl,,,probabilistics,['pytorch'],https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47+00:00,2020-11-30 02:59:25+00:00,2020-11-29 06:49:45+00:00,777.0,130.0,676.0,6609.0,2138.0,2020-11-17 23:30:42+00:00,1.5.1,24.0,Deep universal probabilistic programming with Python and PyTorch.,367.0,331.0,102.0,28,https://pypi.org/project/pyro-ppl,2020-11-17 23:22:46+00:00,36.0,10742.0,10742.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n160,tensorpack,tensorpack/tensorpack,tensorpack,,,ml-frameworks,['tensorflow'],https://github.com/tensorpack/tensorpack,https://github.com/tensorpack/tensorpack,Apache-2.0,2015-12-25 23:08:44+00:00,2020-11-13 17:32:23+00:00,2020-11-01 03:52:10+00:00,1713.0,8.0,1292.0,5812.0,2921.0,2020-04-24 19:01:06+00:00,0.10.1,36.0,\"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.\",691.0,615.0,55.0,28,https://pypi.org/project/tensorpack,2020-04-24 19:01:06+00:00,76.0,8947.0,8949.0,,,,True,3,93.0,,,,,,,,,,,,,,,,,,,,,,\n161,Modin,modin-project/modin,modin,,,data-containers,,https://github.com/modin-project/modin,https://github.com/modin-project/modin,Apache-2.0,2018-06-21 21:35:05+00:00,2020-11-30 17:22:07+00:00,2020-11-26 12:50:24+00:00,374.0,394.0,994.0,5490.0,1174.0,2020-11-10 17:45:21+00:00,0.8.2,35.0,Modin: Speed up your Pandas workflows by changing a single line of code.,262.0,253.0,61.0,28,https://pypi.org/project/modin,2020-11-10 02:44:02+00:00,9.0,45577.0,52541.0,,,,True,2,195001.0,,,,,,,,,,,,,,,,,,,,,,\n162,featuretools,alteryx/featuretools,featuretools,conda-forge/featuretools,,hyperopt,,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17+00:00,2020-11-30 16:21:28+00:00,2020-11-30 16:21:24+00:00,679.0,90.0,380.0,5232.0,569.0,2020-10-30 20:58:07+00:00,0.21.0,60.0,An open source python library for automated feature engineering.,661.0,591.0,48.0,28,https://pypi.org/project/featuretools,2020-10-30 20:58:07+00:00,70.0,67703.0,67703.0,https://anaconda.org/conda-forge/featuretools,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n163,faust,robinhood/faust,faust,,,data-pipelines,,https://github.com/robinhood/faust,https://github.com/robinhood/faust,BSD-3-Clause,2017-03-08 18:36:11+00:00,2020-11-17 10:35:41+00:00,2020-10-09 12:59:42+00:00,424.0,225.0,217.0,5066.0,4137.0,2020-02-25 22:57:18+00:00,1.10.4,46.0,Python Stream Processing.,559.0,531.0,90.0,28,https://pypi.org/project/faust,2020-02-25 22:57:18+00:00,28.0,86285.0,86285.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n164,Autograd,HIPS/autograd,autograd,,,others,,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23+00:00,2020-04-23 16:45:00+00:00,2019-11-18 14:32:40+00:00,712.0,161.0,216.0,5021.0,1375.0,2017-08-24 17:00:41+00:00,1.1.13,24.0,Efficiently computes derivatives of numpy code.,1595.0,1251.0,51.0,28,https://pypi.org/project/autograd,2019-07-25 16:21:07+00:00,344.0,392909.0,392909.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n165,csvkit,wireservice/csvkit,csvkit,,,data-loading,,https://github.com/wireservice/csvkit,https://github.com/wireservice/csvkit,MIT,2011-04-01 03:00:30+00:00,2020-10-30 01:59:33+00:00,2020-10-30 01:59:29+00:00,535.0,56.0,740.0,4409.0,1693.0,2020-03-03 03:00:28+00:00,1.0.5,33.0,\"A suite of utilities for converting to and working with CSV, the king of tabular file formats.\",1467.0,765.0,91.0,28,https://pypi.org/project/csvkit,2020-03-03 03:00:28+00:00,702.0,31532.0,31532.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n166,GluonCV,dmlc/gluon-cv,gluoncv,,,image,['mxnet'],https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21+00:00,2020-11-30 09:02:10+00:00,2020-11-29 18:45:27+00:00,1011.0,361.0,366.0,4355.0,809.0,2020-08-11 20:23:17+00:00,0.8.0,918.0,Gluon CV Toolkit.,367.0,352.0,106.0,28,https://pypi.org/project/gluoncv,2020-11-30 09:02:10+00:00,15.0,122738.0,122738.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n167,snorkel,snorkel-team/snorkel,snorkel,,,data-loading,,https://github.com/snorkel-team/snorkel,https://github.com/snorkel-team/snorkel,Apache-2.0,2016-02-26 05:52:45+00:00,2020-10-02 14:30:46+00:00,2020-09-05 21:24:32+00:00,703.0,29.0,907.0,4321.0,2646.0,2020-08-09 03:07:36+00:00,0.9.6,17.0,A system for quickly generating training data with weak supervision.,62.0,58.0,62.0,28,https://pypi.org/project/snorkel,2020-04-07 01:35:21+00:00,4.0,79117.0,79127.0,,,,True,3,470.0,,,,,,,,,,,,,,,,,,,,,,\n168,librosa,librosa/librosa,librosa,,,audio,,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01+00:00,2020-10-19 21:24:48+00:00,2020-09-11 13:58:44+00:00,653.0,54.0,774.0,4069.0,,2020-07-22 01:34:55+00:00,0.8.0,28.0,Python library for audio and music analysis.,9850.0,8100.0,80.0,28,https://pypi.org/project/librosa,2020-07-22 01:34:55+00:00,1750.0,300131.0,300131.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n169,Tokenizers,huggingface/tokenizers,tokenizers,,,nlp,,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20+00:00,2020-11-28 17:42:47+00:00,2020-11-28 17:42:37+00:00,284.0,80.0,250.0,4021.0,1408.0,2020-11-10 04:37:50+00:00,0.9.4,56.0,Fast State-of-the-Art Tokenizers optimized for Research and Production.,19.0,19.0,37.0,28,https://pypi.org/project/tokenizers,2020-11-10 04:37:50+00:00,0.0,1161085.0,1161085.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n170,DEAP,deap/deap,deap,,,distributed-ml,,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39+00:00,2020-10-04 12:37:36+00:00,2020-10-04 12:37:35+00:00,817.0,166.0,215.0,3969.0,2143.0,2020-01-21 01:18:06+00:00,1.3.1,16.0,Distributed Evolutionary Algorithms in Python.,1915.0,1433.0,66.0,28,https://pypi.org/project/deap,2020-01-21 01:18:06+00:00,482.0,62609.0,62609.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,\n171,dataset,pudo/dataset,dataset,,,db-clients,,https://github.com/pudo/dataset,https://github.com/pudo/dataset,MIT,2013-04-01 14:57:55+00:00,2020-11-14 22:04:37+00:00,2020-11-14 22:02:17+00:00,256.0,11.0,231.0,3937.0,655.0,2020-11-14 22:04:37+00:00,1.4.1,46.0,\"Easy-to-use data handling for SQL data stores with support for implicit table creation, bulk loading, and transactions.\",2714.0,1686.0,71.0,28,https://pypi.org/project/dataset,2020-11-14 22:04:37+00:00,1028.0,52816.0,52816.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n172,Kornia,kornia/kornia,kornia,,,image,['pytorch'],https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37+00:00,2020-11-30 14:53:34+00:00,2020-11-30 13:18:21+00:00,331.0,82.0,228.0,3350.0,1454.0,2020-10-20 19:31:49+00:00,0.4.1,12.0,Open Source Differentiable Computer Vision Library for PyTorch.,192.0,192.0,76.0,28,https://pypi.org/project/kornia,2020-10-20 19:31:49+00:00,0.0,23554.0,23554.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n173,Kedro,quantumblacklabs/kedro,kedro,,,data-pipelines,,https://github.com/quantumblacklabs/kedro,https://github.com/quantumblacklabs/kedro,Apache-2.0,2019-04-18 10:29:56+00:00,2020-11-30 13:09:50+00:00,2020-11-27 15:33:49+00:00,366.0,71.0,322.0,3178.0,848.0,2020-10-23 10:48:09+00:00,0.16.6,23.0,\"A Python library that helps you create reproducible, maintainable and modular data science code.\",338.0,322.0,85.0,28,https://pypi.org/project/kedro,2020-10-23 10:48:09+00:00,16.0,85633.0,85633.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n174,Blaze,blaze/blaze,blaze,,,data-containers,,https://github.com/blaze/blaze,https://github.com/blaze/blaze,BSD-3-Clause,2012-10-26 14:25:22+00:00,2020-02-01 19:33:09+00:00,2019-08-15 21:14:59+00:00,373.0,262.0,500.0,2909.0,7496.0,2016-07-19 20:40:03+00:00,0.11.0,14.0,NumPy and Pandas interface to Big Data.,7728.0,7240.0,64.0,28,https://pypi.org/project/blaze,2016-05-06 21:19:21+00:00,488.0,13518.0,13518.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,\n175,Dedupe,dedupeio/dedupe,dedupe,,,nlp,,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36+00:00,2020-11-09 02:38:14+00:00,2020-11-09 02:38:13+00:00,402.0,45.0,568.0,2823.0,2792.0,2020-09-02 00:17:19+00:00,2.0.6,157.0,\"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.\",245.0,167.0,55.0,28,https://pypi.org/project/dedupe,2020-09-06 01:50:45+00:00,78.0,49698.0,49698.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n176,PyCaret,pycaret/pycaret,pycaret,,,ml-experiments,,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48+00:00,2020-11-30 12:45:10+00:00,2020-11-30 12:45:04+00:00,531.0,127.0,472.0,2595.0,1499.0,2020-11-26 01:45:00+00:00,2.2.2,67.0,\"An open-source, low-code machine learning library in Python.\",465.0,465.0,38.0,28,https://pypi.org/project/pycaret,2020-11-26 01:45:00+00:00,,22742.0,22823.0,,,,True,2,325.0,,,,,,,,,,,,,,,,,,,,,,\n177,phonenumbers,daviddrysdale/python-phonenumbers,phonenumbers,,,nlp,,https://github.com/daviddrysdale/python-phonenumbers,https://github.com/daviddrysdale/python-phonenumbers,Apache-2.0,2011-04-21 03:06:38+00:00,2020-11-15 11:24:27+00:00,2020-11-13 14:52:16+00:00,321.0,3.0,107.0,2578.0,,2020-11-01 19:11:15+00:00,8.12.13,164.0,Python port of Google's libphonenumber.,2280.0,,22.0,28,https://pypi.org/project/phonenumbers,2020-11-13 18:46:12+00:00,2280.0,837605.0,837605.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n178,VisPy,vispy/vispy,vispy,,,data-viz,['jupyter'],https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22+00:00,2020-11-28 02:55:50+00:00,2020-11-28 02:03:40+00:00,535.0,354.0,776.0,2505.0,6394.0,2020-09-24 14:26:35+00:00,0.6.5,16.0,High-performance interactive 2D/3D data visualization library.,542.0,420.0,144.0,28,https://pypi.org/project/vispy,2020-11-28 02:55:50+00:00,122.0,14772.0,14817.0,,,,True,2,,,,,,,,,vispy,https://www.npmjs.com/package/vispy,2020-03-15 14:39:41.516000+00:00,,45.0,,,,,,,,,,\n179,datashader,holoviz/datashader,datashader,conda-forge/datashader,,data-viz,,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20+00:00,2020-11-28 20:24:21+00:00,2020-11-27 23:57:10+00:00,305.0,143.0,314.0,2366.0,1264.0,2020-08-16 19:52:29+00:00,0.11.1,22.0,Quickly and accurately render even the largest data.,543.0,508.0,42.0,28,https://pypi.org/project/datashader,2020-08-16 19:52:29+00:00,35.0,15277.0,15277.0,https://anaconda.org/conda-forge/datashader,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n180,Catalyst,catalyst-team/catalyst,catalyst,,,ml-experiments,['pytorch'],https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13+00:00,2020-11-30 17:22:43+00:00,2020-11-30 15:59:14+00:00,259.0,28.0,242.0,2305.0,1448.0,2020-09-25 18:48:00+00:00,20.9.1,83.0,Accelerated deep learning R&D.,256.0,237.0,78.0,28,https://pypi.org/project/catalyst,2020-10-14 06:33:14+00:00,19.0,8588.0,8588.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n181,sklearn-pandas,scikit-learn-contrib/sklearn-pandas,sklearn-pandas,,,data-containers,\"['sklearn', 'pandas']\",https://github.com/scikit-learn-contrib/sklearn-pandas,https://github.com/scikit-learn-contrib/sklearn-pandas,Zlib,2013-04-22 22:55:20+00:00,2020-11-22 08:55:44+00:00,2020-11-22 08:51:36+00:00,377.0,40.0,112.0,2263.0,266.0,2020-10-01 20:56:27+00:00,2.0.3,24.0,Pandas integration with sklearn.,1690.0,1468.0,34.0,28,https://pypi.org/project/sklearn-pandas,2020-11-07 02:30:27+00:00,222.0,122437.0,122437.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,\n182,eli5,TeamHG-Memex/eli5,eli5,,,interpretability,,https://github.com/TeamHG-Memex/eli5,https://github.com/TeamHG-Memex/eli5,MIT,2016-09-15 01:04:57+00:00,2020-11-11 11:36:32+00:00,2020-01-22 07:39:36+00:00,281.0,125.0,107.0,2204.0,1198.0,2019-08-29 06:19:32+00:00,0.10.1,27.0,A library for debugging/inspecting machine learning classifiers and explaining their predictions.,873.0,777.0,14.0,28,https://pypi.org/project/eli5,2019-08-29 06:19:32+00:00,96.0,241197.0,241197.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n183,NMSLIB,nmslib/nmslib,nmslib,,,nn-search,,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06+00:00,2020-11-27 21:21:06+00:00,2020-11-03 18:25:07+00:00,328.0,44.0,309.0,2204.0,1421.0,2020-04-16 18:21:23+00:00,2.0.6,21.0,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,344.0,292.0,40.0,28,https://pypi.org/project/nmslib,2020-04-16 18:21:23+00:00,52.0,60429.0,60429.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n184,dbt,fishtown-analytics/dbt,dbt,,,data-pipelines,,https://github.com/fishtown-analytics/dbt,https://github.com/fishtown-analytics/dbt,Apache-2.0,2016-03-10 02:38:00+00:00,2020-11-30 14:46:37+00:00,2020-11-30 14:46:36+00:00,444.0,247.0,1381.0,2185.0,2481.0,2020-10-13 21:51:53+00:00,0.18.1,139.0,dbt (data build tool) enables data analysts and engineers to transform their data using the same practices that..,149.0,140.0,124.0,28,https://pypi.org/project/dbt,2020-10-21 00:46:58+00:00,9.0,85195.0,85195.0,,,,True,2,,,dbt,,,,,,,,,,,,,,,,,,,,\n185,implicit,benfred/implicit,implicit,,,recommender-systems,,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23+00:00,2020-11-15 19:47:27+00:00,2020-11-15 19:47:23+00:00,452.0,72.0,254.0,2166.0,300.0,2020-09-15 22:01:38+00:00,0.4.4,34.0,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,342.0,320.0,28.0,28,https://pypi.org/project/implicit,2020-09-15 22:01:38+00:00,22.0,118602.0,118602.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n186,Cufflinks,santosjorge/cufflinks,cufflinks,,,data-viz,,https://github.com/santosjorge/cufflinks,https://github.com/santosjorge/cufflinks,MIT,2014-11-19 20:59:33+00:00,2020-10-07 16:12:54+00:00,2020-10-07 16:12:53+00:00,500.0,79.0,119.0,1999.0,450.0,2020-03-01 17:42:01+00:00,0.17.3,27.0,Productivity Tools for Plotly + Pandas.,2364.0,2247.0,37.0,28,https://pypi.org/project/cufflinks,2020-03-01 17:42:01+00:00,117.0,66595.0,66595.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n187,ipyparallel,ipython/ipyparallel,ipyparallel,,,distributed-ml,['jupyter'],https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,BSD-3-Clause,2015-04-09 07:43:55+00:00,2020-08-30 18:57:51+00:00,2020-08-24 09:09:27+00:00,721.0,137.0,107.0,1830.0,1817.0,2020-05-05 18:42:38+00:00,6.3.0,21.0,Interactive Parallel Computing in Python.,1790.0,1300.0,94.0,28,https://pypi.org/project/ipyparallel,2020-05-05 18:42:38+00:00,490.0,73500.0,73500.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n188,ImageHash,JohannesBuchner/imagehash,ImageHash,,,image,,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48+00:00,2020-11-27 16:31:23+00:00,2020-11-27 16:31:13+00:00,237.0,17.0,69.0,1750.0,182.0,2020-11-19 14:54:24+00:00,4.2.0,17.0,A Python Perceptual Image Hashing Module.,2167.0,1635.0,17.0,28,https://pypi.org/project/ImageHash,2020-11-19 14:54:24+00:00,532.0,380388.0,380388.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n189,libcloud,apache/libcloud,apache-libcloud,,,db-clients,,https://github.com/apache/libcloud,https://github.com/apache/libcloud,Apache-2.0,2009-12-11 09:00:14+00:00,2020-11-23 01:00:16+00:00,2020-11-06 08:44:52+00:00,880.0,30.0,61.0,1719.0,,2020-09-20 13:03:47+00:00,3.2.0,61.0,Apache Libcloud is a Python library which hides differences between different cloud provider APIs and allows you to..,3067.0,1525.0,414.0,28,https://pypi.org/project/apache-libcloud,2020-09-20 13:03:47+00:00,1542.0,62604.0,62604.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n190,pyLDAvis,bmabey/pyLDAvis,pyldavis,,,interpretability,['jupyter'],https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03+00:00,2020-11-27 19:12:55+00:00,2020-10-22 15:43:39+00:00,287.0,91.0,55.0,1352.0,215.0,2018-06-05 18:55:56+00:00,2.1.2,17.0,Python library for interactive topic model visualization. Port of the R LDAvis package.,1631.0,1532.0,28.0,28,https://pypi.org/project/pyldavis,2018-06-05 18:55:56+00:00,99.0,81113.0,81113.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n191,Geocoder,DenisCarriere/geocoder,geocoder,,,geospatial-data,,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21+00:00,2020-08-26 17:53:10+00:00,2018-10-12 15:53:05+00:00,249.0,64.0,215.0,1305.0,1251.0,2018-04-04 12:34:51+00:00,1.38.1,108.0,Python Geocoder.,3375.0,2799.0,74.0,28,https://pypi.org/project/geocoder,2018-04-04 12:34:51+00:00,576.0,255372.0,255372.0,,,,False,2,,,,,,,,,,,,,,,,geocoder,,,,,,,\n192,TFX,tensorflow/tfx,tfx,,,data-pipelines,['tensorflow'],https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36+00:00,2020-11-30 17:30:50+00:00,2020-11-30 10:43:22+00:00,361.0,200.0,295.0,1230.0,2879.0,2020-11-19 20:19:41+00:00,0.25.0,36.0,TFX is an end-to-end platform for deploying production ML pipelines.,244.0,242.0,92.0,28,https://pypi.org/project/tfx,2020-11-19 21:33:15+00:00,2.0,32734.0,32734.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n193,geojson,jazzband/geojson,geojson,,,geospatial-data,,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48+00:00,2020-11-25 21:55:02+00:00,2020-11-25 19:10:27+00:00,76.0,18.0,50.0,575.0,445.0,2019-08-09 20:32:15+00:00,2.5.0,28.0,Python bindings and utilities for GeoJSON.,6828.0,5224.0,44.0,28,https://pypi.org/project/geojson,2019-08-09 20:32:15+00:00,1604.0,473269.0,473269.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n194,Bottleneck,pydata/bottleneck,Bottleneck,,,data-containers,,https://github.com/pydata/bottleneck,https://github.com/pydata/bottleneck,BSD-2-Clause,2010-11-27 23:21:22+00:00,2020-11-25 00:09:27+00:00,2020-11-25 00:09:25+00:00,60.0,22.0,177.0,563.0,1226.0,2020-02-21 06:22:16+00:00,1.3.2,21.0,Fast NumPy array functions written in C.,19711.0,16819.0,20.0,28,https://pypi.org/project/Bottleneck,2020-02-21 06:22:16+00:00,2892.0,211609.0,211609.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n195,pyproj,pyproj4/pyproj,pyproj,,,geospatial-data,,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25+00:00,2020-11-27 04:35:58+00:00,2020-11-26 17:01:05+00:00,144.0,4.0,366.0,545.0,1091.0,2020-11-05 13:39:29+00:00,3.0.0.post1,34.0,Python interface to PROJ (cartographic projections and coordinate transformations library).,10056.0,7594.0,39.0,28,https://pypi.org/project/pyproj,2020-11-05 14:28:45+00:00,2462.0,1383554.0,1383554.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n196,inflect,jaraco/inflect,inflect,,,nlp,,https://github.com/jaraco/inflect,https://github.com/jaraco/inflect,MIT,2010-06-20 13:43:13+00:00,2020-11-16 18:05:26+00:00,2020-11-15 19:27:28+00:00,57.0,12.0,58.0,457.0,590.0,2020-11-15 17:41:03+00:00,5.0.2,30.0,\"Correctly generate plurals, ordinals, indefinite articles; convert numbers to words.\",1388.0,,25.0,28,https://pypi.org/project/inflect,2020-11-15 17:40:58+00:00,1388.0,1106574.0,1106574.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n197,minio,minio/minio-py,minio,,,db-clients,,https://github.com/minio/minio-py,https://github.com/minio/minio-py,Apache-2.0,2015-06-17 03:51:15+00:00,2020-11-30 17:01:51+00:00,2020-11-29 04:49:45+00:00,166.0,15.0,352.0,369.0,990.0,2020-11-28 03:57:29+00:00,6.0.2,82.0,MinIO Client SDK for Python.,1468.0,1124.0,88.0,28,https://pypi.org/project/minio,2020-11-28 03:39:57+00:00,344.0,186614.0,186614.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n198,DIPY,dipy/dipy,dipy,conda-forge/dipy,,medical-data,,https://github.com/dipy/dipy,https://github.com/dipy/dipy,BSD-3-Clause,2010-02-06 11:43:08+00:00,2020-11-30 15:21:46+00:00,2020-11-21 14:10:11+00:00,313.0,156.0,575.0,365.0,11294.0,2020-11-05 17:35:53+00:00,1.3.0,21.0,\"DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal..\",398.0,304.0,118.0,28,https://pypi.org/project/dipy,2020-11-05 17:35:53+00:00,94.0,9310.0,9310.0,https://anaconda.org/conda-forge/dipy,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n199,Cython BLIS,explosion/cython-blis,blis,conda-forge/cython-blis,,others,,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16+00:00,2020-11-30 10:06:54+00:00,2020-11-23 07:15:49+00:00,22.0,9.0,8.0,154.0,522.0,2020-11-23 09:26:57+00:00,0.7.3,34.0,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,7305.0,6915.0,9.0,28,https://pypi.org/project/blis,2020-11-23 09:26:57+00:00,390.0,1102647.0,1102647.0,https://anaconda.org/conda-forge/cython-blis,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n200,soupsieve,facelessuser/soupsieve,soupsieve,,,web-scraping,,https://github.com/facelessuser/soupsieve,https://github.com/facelessuser/soupsieve,MIT,2018-12-07 07:42:56+00:00,2020-11-26 19:11:47+00:00,2020-11-18 01:49:09+00:00,17.0,13.0,75.0,79.0,262.0,2020-05-16 23:03:01+00:00,2.0.1,35.0,A modern CSS selector implementation for BeautifulSoup.,89523.0,85279.0,8.0,28,https://pypi.org/project/soupsieve,2020-05-16 23:03:01+00:00,4244.0,7962416.0,7962416.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,\n201,CNTK,microsoft/CNTK,cntk,,,ml-frameworks,,https://github.com/microsoft/CNTK,https://github.com/microsoft/CNTK,MIT,2015-11-26 09:52:06+00:00,2020-09-08 19:40:44+00:00,2020-03-31 15:55:14+00:00,4421.0,805.0,2513.0,16918.0,16116.0,2019-04-26 14:13:32+00:00,2.7,32.0,\"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.\",14.0,,265.0,27,https://pypi.org/project/cntk,2019-04-19 00:49:46+00:00,14.0,1676.0,1909.0,,,,True,3,13549.0,,,,,,,,,,,,,,,,,,,,,,\n202,InsightFace,deepinsight/insightface,insightface,,,image,['mxnet'],https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,MIT,2017-09-01 00:36:51+00:00,2020-11-30 06:32:18+00:00,2020-11-30 06:32:00+00:00,2780.0,667.0,635.0,8111.0,1449.0,2019-09-07 13:47:11+00:00,0.1.5,6.0,Face Analysis Project on MXNet.,43.0,42.0,13.0,27,https://pypi.org/project/insightface,2019-09-07 13:47:11+00:00,1.0,15439.0,15439.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n203,TPOT,EpistasisLab/tpot,tpot,,,hyperopt,['sklearn'],https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40+00:00,2020-11-30 16:31:52+00:00,2020-11-30 16:22:30+00:00,1338.0,184.0,570.0,7655.0,2338.0,2020-11-30 16:31:53+00:00,0.11.6.post2,57.0,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,752.0,712.0,107.0,27,https://pypi.org/project/tpot,2020-11-05 15:52:54+00:00,40.0,16121.0,16121.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,\n204,AutoKeras,keras-team/autokeras,autokeras,,,hyperopt,['keras'],https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20+00:00,2020-11-30 03:08:40+00:00,2020-11-30 03:08:29+00:00,1241.0,59.0,636.0,7611.0,1224.0,2020-11-30 02:43:50+00:00,1.0.12,46.0,AutoML library for deep learning.,139.0,132.0,123.0,27,https://pypi.org/project/autokeras,2020-11-30 02:43:50+00:00,7.0,4397.0,4397.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n205,Google Images Download,hardikvasa/google-images-download,google_images_download,,,web-scraping,,https://github.com/hardikvasa/google-images-download,https://github.com/hardikvasa/google-images-download,MIT,2015-03-28 16:50:28+00:00,2020-10-03 09:51:36+00:00,2019-05-21 18:24:10+00:00,1699.0,103.0,158.0,7253.0,156.0,2019-05-14 00:35:40+00:00,2.7.1,39.0,Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!.,214.0,,38.0,27,https://pypi.org/project/google_images_download,2019-05-14 00:35:40+00:00,214.0,20175.0,20175.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,\n206,Records,kennethreitz-archive/records,records,conda-forge/records,,db-clients,,https://github.com/kennethreitz-archive/records,https://github.com/kennethreitz-archive/records,ISC,2014-12-24 15:20:23+00:00,2020-08-12 05:05:50+00:00,2019-08-20 04:06:01+00:00,527.0,51.0,81.0,6422.0,324.0,2019-02-21 13:34:41+00:00,0.5.3,10.0,SQL for Humans.,985.0,685.0,37.0,27,https://pypi.org/project/records,2019-02-21 13:34:41+00:00,300.0,230205.0,230205.0,https://anaconda.org/conda-forge/records,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n207,TensorLayer,tensorlayer/tensorlayer,tensorlayer,,,reinforcement-learning,['tensorflow'],https://github.com/tensorlayer/tensorlayer,https://github.com/tensorlayer/tensorlayer,Apache-2.0,2016-06-07 15:55:16+00:00,2020-10-29 07:58:41+00:00,2020-10-29 07:58:40+00:00,1412.0,46.0,403.0,6384.0,3299.0,2020-06-19 00:53:37+00:00,2.2.3,82.0,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,68.0,,127.0,27,https://pypi.org/project/tensorlayer,2020-06-19 00:53:37+00:00,68.0,2745.0,2767.0,,,,True,1,1136.0,,,,,,,,,,,,,,,,,,,,,,\n208,dgl,dmlc/dgl,dgl,,,graph,,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09+00:00,2020-11-30 11:47:41+00:00,2020-11-30 11:47:40+00:00,1207.0,195.0,638.0,6131.0,1405.0,2020-11-30 07:39:12+00:00,0.5.3,312.0,\"Python package built to ease deep learning on graph, on top of existing DL frameworks.\",15.0,,87.0,27,https://pypi.org/project/dgl,2020-11-30 09:08:32+00:00,15.0,10685.0,10685.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n209,Bayesian Optimization,fmfn/BayesianOptimization,bayesian-optimization,,,hyperopt,,https://github.com/fmfn/BayesianOptimization,https://github.com/fmfn/BayesianOptimization,MIT,2014-06-06 08:18:56+00:00,2020-10-25 15:15:11+00:00,2020-07-13 17:18:09+00:00,1022.0,42.0,152.0,4671.0,197.0,2020-05-16 16:03:51+00:00,1.2.0,8.0,A Python implementation of global optimization with gaussian processes.,620.0,528.0,26.0,27,https://pypi.org/project/bayesian-optimization,2020-05-16 15:56:09+00:00,92.0,74999.0,75000.0,,,,True,2,42.0,,,,,,,,,,,,,,,,,,,,,,\n210,OpenNMT,OpenNMT/OpenNMT-py,OpenNMT-py,,,nlp,['pytorch'],https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50+00:00,2020-11-30 16:41:16+00:00,2020-11-30 08:45:56+00:00,1714.0,91.0,1100.0,4637.0,2523.0,2020-11-10 18:09:08+00:00,2.0.0rc2,26.0,Open Source Neural Machine Translation in PyTorch.,60.0,58.0,163.0,27,https://pypi.org/project/OpenNMT-py,2020-11-10 18:10:02+00:00,2.0,4630.0,4630.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n211,PyOD,yzhao062/pyod,pyod,,,others,,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04+00:00,2020-11-17 17:07:55+00:00,2020-11-17 16:47:31+00:00,781.0,85.0,78.0,3819.0,1227.0,2020-11-17 17:07:55+00:00,V0.8.4,62.0,A Python Toolbox for Scalable Outlier Detection (Anomaly Detection).,402.0,396.0,20.0,27,https://pypi.org/project/pyod,2020-11-17 17:05:43+00:00,6.0,91544.0,91544.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n212,skorch,skorch-dev/skorch,skorch,conda-forge/skorch,,ml-frameworks,\"['pytorch', 'sklearn']\",https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54+00:00,2020-11-28 18:35:38+00:00,2020-11-01 21:56:05+00:00,264.0,48.0,309.0,3626.0,917.0,2020-08-30 10:46:40+00:00,0.9.0,12.0,A scikit-learn compatible neural network library that wraps PyTorch.,241.0,228.0,38.0,27,https://pypi.org/project/skorch,2020-08-30 10:43:37+00:00,13.0,10503.0,10503.0,https://anaconda.org/conda-forge/skorch,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n213,OCRmyPDF,jbarlow83/OCRmyPDF,ocrmypdf,,,ocr,,https://github.com/jbarlow83/OCRmyPDF,https://github.com/jbarlow83/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28+00:00,2020-11-18 20:10:49+00:00,2020-11-18 19:57:28+00:00,396.0,84.0,532.0,3462.0,2760.0,2020-11-03 14:38:15+00:00,11.3.2,149.0,\"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.\",98.0,86.0,47.0,27,https://pypi.org/project/ocrmypdf,2020-11-03 14:38:15+00:00,12.0,11054.0,11054.0,,,,True,2,,,ocrmypdf,,,,,,,,,,,ocrmypdf,,,,,,,,,\n214,imutils,jrosebr1/imutils,imutils,,,image,,https://github.com/jrosebr1/imutils,https://github.com/jrosebr1/imutils,MIT,2015-01-11 20:05:39+00:00,2020-11-10 01:52:08+00:00,2019-08-18 11:50:57+00:00,836.0,123.0,75.0,3407.0,137.0,2019-08-18 11:56:06+00:00,0.5.3,28.0,\"A series of convenience functions to make basic image processing operations such as translation, rotation, resizing,..\",11631.0,10435.0,19.0,27,https://pypi.org/project/imutils,2019-08-18 11:56:06+00:00,1196.0,151833.0,151833.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,\n215,lightfm,lyst/lightfm,lightfm,,,recommender-systems,,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00+00:00,2020-11-27 19:55:08+00:00,2020-11-27 19:54:37+00:00,561.0,127.0,269.0,3384.0,404.0,2020-11-27 19:48:30+00:00,1.16,14.0,\"A Python implementation of LightFM, a hybrid recommendation algorithm.\",381.0,353.0,42.0,27,https://pypi.org/project/lightfm,2020-11-27 19:55:08+00:00,28.0,112961.0,112961.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n216,InterpretML,interpretml/interpret,interpret,,,interpretability,['jupyter'],https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52+00:00,2020-11-27 10:08:22+00:00,2020-11-27 10:08:07+00:00,396.0,57.0,107.0,3281.0,1403.0,2020-10-20 01:41:37+00:00,0.2.2,32.0,Fit interpretable models. Explain blackbox machine learning.,58.0,56.0,21.0,27,https://pypi.org/project/interpret,2020-10-20 01:35:45+00:00,2.0,14417.0,14417.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n217,Ignite,pytorch/ignite,pytorch-ignite,pytorch/ignite,,ml-frameworks,['pytorch'],https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21+00:00,2020-11-30 14:11:12+00:00,2020-11-30 14:05:39+00:00,401.0,98.0,571.0,3161.0,798.0,2020-09-20 20:00:28+00:00,0.4.2,392.0,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,698.0,636.0,113.0,27,https://pypi.org/project/pytorch-ignite,2020-11-30 00:30:47+00:00,62.0,31115.0,31115.0,https://anaconda.org/pytorch/ignite,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n218,memory-profiler,pythonprofilers/memory_profiler,memory_profiler,,,system-monitoring,,https://github.com/pythonprofilers/memory_profiler,https://github.com/pythonprofilers/memory_profiler,BSD-3-Clause,2011-10-14 11:56:14+00:00,2020-11-29 18:14:39+00:00,2020-11-04 22:27:44+00:00,292.0,82.0,97.0,2622.0,615.0,2018-08-16 03:16:49+00:00,0.54.0,52.0,Monitor Memory usage of Python code.,534.0,,82.0,27,https://pypi.org/project/memory_profiler,2018-08-16 03:16:49+00:00,534.0,170053.0,170053.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n219,missingno,ResidentMario/missingno,missingno,,,data-viz,,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50+00:00,2020-11-23 17:34:43+00:00,2020-11-23 17:34:42+00:00,325.0,15.0,86.0,2543.0,169.0,2019-07-09 16:03:51+00:00,0.4.2,21.0,Missing data visualization module for Python.,2400.0,2324.0,14.0,27,https://pypi.org/project/missingno,2018-06-29 16:25:00+00:00,76.0,213389.0,213389.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n220,pomegranate,jmschrei/pomegranate,pomegranate,pomegranate,,probabilistics,,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58+00:00,2020-11-29 19:45:41+00:00,2020-11-29 19:45:40+00:00,456.0,30.0,525.0,2490.0,838.0,2020-10-13 16:38:32+00:00,0.13.5,59.0,\"Fast, flexible and easy to use probabilistic modelling in Python.\",369.0,341.0,59.0,27,https://pypi.org/project/pomegranate,2020-07-12 21:28:17+00:00,28.0,21322.0,21322.0,https://anaconda.org/anaconda/pomegranate,2020-10-13 16:38:32+00:00,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n221,Dagster,dagster-io/dagster,dagster,,,data-pipelines,,https://github.com/dagster-io/dagster,https://github.com/dagster-io/dagster,Apache-2.0,2018-04-30 16:30:04+00:00,2020-11-30 17:43:09+00:00,2020-11-30 17:43:04+00:00,237.0,535.0,1648.0,2374.0,5871.0,2020-11-19 23:18:08+00:00,0.9.20,218.0,\"A data orchestrator for machine learning, analytics, and ETL.\",123.0,119.0,105.0,27,https://pypi.org/project/dagster,2020-11-19 23:18:08+00:00,4.0,32355.0,32355.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n222,GPyTorch,cornellius-gp/gpytorch,gpytorch,,,probabilistics,['pytorch'],https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20+00:00,2020-11-30 16:44:28+00:00,2020-11-28 20:31:20+00:00,299.0,176.0,606.0,2188.0,3165.0,2020-10-26 20:57:56+00:00,1.2.1,23.0,A highly efficient and modular implementation of Gaussian Processes in PyTorch.,168.0,160.0,61.0,27,https://pypi.org/project/gpytorch,2020-10-26 20:57:56+00:00,8.0,33376.0,33376.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n223,GluonNLP,dmlc/gluon-nlp,gluonnlp,,,nlp,['mxnet'],https://github.com/dmlc/gluon-nlp,https://github.com/dmlc/gluon-nlp,Apache-2.0,2018-04-04 20:57:13+00:00,2020-11-30 17:04:32+00:00,2020-10-08 21:11:34+00:00,490.0,227.0,277.0,2184.0,775.0,2020-08-13 19:16:27+00:00,0.10.0,25.0,\"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..\",344.0,333.0,72.0,27,https://pypi.org/project/gluonnlp,2020-08-13 01:28:51+00:00,11.0,43563.0,43563.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n224,AzureML SDK,Azure/MachineLearningNotebooks,azureml-sdk,,,ml-experiments,,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14+00:00,2020-11-26 06:50:06+00:00,2020-11-11 21:00:22+00:00,1464.0,49.0,828.0,1994.0,1077.0,2020-10-27 03:25:19+00:00,1.17.0,63.0,Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft.,30.0,,52.0,27,https://pypi.org/project/azureml-sdk,2020-10-27 03:25:19+00:00,30.0,328096.0,328110.0,,,,True,2,359.0,,,,,,,,,,,,,,,,,,,,,,\n225,TRAINS,allegroai/trains,trains,,,ml-experiments,,https://github.com/allegroai/trains,https://github.com/allegroai/trains,Apache-2.0,2019-06-10 08:18:32+00:00,2020-11-29 21:38:22+00:00,2020-11-29 21:31:56+00:00,232.0,79.0,144.0,1989.0,894.0,2020-11-03 15:00:41+00:00,0.16.3,120.0,TRAINS - Auto-Magical Experiment Manager & Version Control for AI - NOW WITH AUTO-MAGICAL DEVOPS!.,50.0,50.0,23.0,27,https://pypi.org/project/trains,2020-11-29 21:38:22+00:00,,161539.0,163291.0,,,,True,2,230.0,,,allegroai/trains,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671+00:00,,29575.0,,,,,,,,,,,,,,,\n226,Databases,encode/databases,databases,,,db-clients,,https://github.com/encode/databases,https://github.com/encode/databases,BSD-3-Clause,2019-02-01 10:55:25+00:00,2020-11-23 09:44:24+00:00,2020-11-23 09:44:23+00:00,128.0,89.0,82.0,1790.0,267.0,2020-11-16 20:54:25+00:00,0.4.1,29.0,Async database support for Python.,1193.0,1133.0,27.0,27,https://pypi.org/project/databases,2020-11-16 20:54:58+00:00,60.0,49359.0,49359.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n227,TF-Agents,tensorflow/agents,tf-agents,,,reinforcement-learning,['tensorflow'],https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12+00:00,2020-11-30 08:47:22+00:00,2020-11-30 08:46:35+00:00,438.0,100.0,294.0,1696.0,1526.0,2020-11-17 03:53:32+00:00,0.7.0,15.0,TF-Agents is a library for Reinforcement Learning in TensorFlow.,316.0,310.0,82.0,27,https://pypi.org/project/tf-agents,2020-11-17 04:35:35+00:00,6.0,6964.0,6964.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n228,textacy,chartbeat-labs/textacy,textacy,,,nlp,,https://github.com/chartbeat-labs/textacy,https://github.com/chartbeat-labs/textacy,Apache-2.0,2016-02-03 16:52:45+00:00,2020-11-01 23:46:33+00:00,2020-11-01 23:46:27+00:00,211.0,29.0,193.0,1558.0,1325.0,2020-08-29 20:51:05+00:00,0.10.1,29.0,\"NLP, before and after spaCy.\",77.0,,28.0,27,https://pypi.org/project/textacy,2020-08-29 20:51:28+00:00,77.0,26996.0,26996.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n229,Ibis,ibis-project/ibis,ibis-framework,conda-forge/ibis-framework,,db-clients,,https://github.com/ibis-project/ibis,https://github.com/ibis-project/ibis,Apache-2.0,2015-04-17 20:43:46+00:00,2020-11-30 13:59:27+00:00,2020-11-25 12:59:11+00:00,243.0,511.0,929.0,1480.0,1305.0,2020-11-11 16:01:20+00:00,1.4.0,24.0,\"A pandas-like deferred expression system, with first-class SQL support.\",170.0,122.0,69.0,27,https://pypi.org/project/ibis-framework,2020-11-11 16:01:20+00:00,48.0,27230.0,27230.0,https://anaconda.org/conda-forge/ibis-framework,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n230,tslearn,tslearn-team/tslearn,tslearn,conda-forge/tslearn,,time-series-data,['sklearn'],https://github.com/tslearn-team/tslearn,https://github.com/tslearn-team/tslearn,BSD-2-Clause,2017-05-04 13:08:13+00:00,2020-11-21 23:53:59+00:00,2020-10-22 16:01:27+00:00,206.0,51.0,157.0,1383.0,1524.0,2020-06-18 15:54:49+00:00,0.4.1,90.0,A machine learning toolkit dedicated to time-series data.,165.0,154.0,27.0,27,https://pypi.org/project/tslearn,2020-06-18 16:13:01+00:00,11.0,45604.0,45604.0,https://anaconda.org/conda-forge/tslearn,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n231,jellyfish,jamesturk/jellyfish,jellyfish,,,nlp,,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,BSD-2-Clause,2010-07-09 20:41:11+00:00,2020-10-01 19:15:46+00:00,2020-09-22 14:57:52+00:00,118.0,9.0,86.0,1368.0,366.0,2020-05-21 20:37:01+00:00,0.8.2,27.0,a python library for doing approximate and phonetic matching of strings.,2494.0,1848.0,19.0,27,https://pypi.org/project/jellyfish,2020-05-21 20:37:01+00:00,646.0,931202.0,931202.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n232,Cartopy,mapbox/rasterio,Cartopy,,,geospatial-data,,https://github.com/mapbox/rasterio,https://github.com/mapbox/rasterio,LGPL-3.0,2013-11-04 16:36:27+00:00,2020-11-30 16:44:34+00:00,2020-11-24 00:12:08+00:00,373.0,137.0,1172.0,1359.0,3226.0,2018-11-17 07:43:32+00:00,0.17.0,18.0,Rasterio reads and writes geospatial raster datasets.,2594.0,2421.0,106.0,27,https://pypi.org/project/Cartopy,2020-04-27 04:57:38+00:00,173.0,14967.0,14977.0,,,,False,3,674.0,,,,,,,,,,,,,,,,,,,,,,\n233,GPflow,GPflow/GPflow,gpflow,,,probabilistics,['tensorflow'],https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24+00:00,2020-11-30 14:42:37+00:00,2020-11-26 17:14:04+00:00,382.0,77.0,599.0,1339.0,2198.0,2020-10-07 16:12:42+00:00,2.1.3,27.0,Gaussian processes in TensorFlow.,219.0,202.0,68.0,27,https://pypi.org/project/gpflow,2020-10-07 16:12:42+00:00,17.0,6098.0,6098.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n234,torchaudio,pytorch/audio,torchaudio,,,audio,['pytorch'],https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05+00:00,2020-11-30 17:41:24+00:00,2020-11-20 20:58:58+00:00,251.0,152.0,215.0,1142.0,601.0,2020-10-27 16:17:48+00:00,0.7.0,11.0,\"Data manipulation and transformation for audio signal processing, powered by PyTorch.\",685.0,676.0,80.0,27,https://pypi.org/project/torchaudio,2020-10-27 16:14:57+00:00,9.0,50486.0,50486.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n235,ipyleaflet,jupyter-widgets/ipyleaflet,ipyleaflet,,,geospatial-data,['jupyter'],https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10+00:00,2020-11-30 13:44:00+00:00,2020-11-30 13:43:59+00:00,264.0,119.0,240.0,1057.0,892.0,2020-07-29 08:54:44+00:00,0.13.3,66.0,A Jupyter - Leaflet.js bridge.,709.0,609.0,63.0,27,https://pypi.org/project/ipyleaflet,2020-07-24 15:15:48+00:00,98.0,18025.0,163455.0,,,,True,3,,,,,,,,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2020-07-24 14:55:26.216000+00:00,2.0,145430.0,,,,,,,,,,\n236,PyCUDA,inducer/pycuda,pycuda,,,gpu-utilities,,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31+00:00,2020-11-30 00:01:50+00:00,2020-11-30 00:01:49+00:00,212.0,40.0,122.0,1030.0,1440.0,2019-08-12 04:15:37+00:00,2019.1.2,46.0,\"CUDA integration for Python, plus shiny features.\",959.0,667.0,68.0,27,https://pypi.org/project/pycuda,2020-10-07 21:59:52+00:00,292.0,16098.0,16098.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n237,Model Analysis,tensorflow/model-analysis,tensorflow-model-analysis,,,interpretability,\"['tensorflow', 'jupyter']\",https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49+00:00,2020-11-25 17:50:06+00:00,2020-11-25 17:50:00+00:00,201.0,22.0,31.0,1006.0,846.0,2020-11-04 18:38:50+00:00,0.25.0,32.0,Model analysis tools for TensorFlow.,10.0,,33.0,27,https://pypi.org/project/tensorflow-model-analysis,2020-09-24 22:14:07+00:00,10.0,3862651.0,3862651.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n238,PyStan,stan-dev/pystan,pystan,,,probabilistics,,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,GPL-3.0,2013-05-24 01:21:21+00:00,2020-11-21 11:22:51+00:00,2020-11-21 11:22:43+00:00,192.0,66.0,425.0,881.0,867.0,2020-10-16 20:20:46+00:00,2.19.1.1-codes,54.0,\"PyStan, the Python interface to Stan.\",2527.0,2185.0,54.0,27,https://pypi.org/project/pystan,2020-11-19 14:21:16+00:00,342.0,893554.0,893555.0,,,,False,2,82.0,,,,,,,,,,,,,,,,,,,,,,\n239,igraph,igraph/python-igraph,python-igraph,,,graph,,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16+00:00,2020-11-30 08:39:40+00:00,2020-11-05 18:15:58+00:00,174.0,50.0,250.0,733.0,1496.0,2020-10-08 14:50:52+00:00,0.8.3,18.0,Python interface for igraph.,1725.0,1301.0,46.0,27,https://pypi.org/project/python-igraph,2020-04-28 17:45:27+00:00,424.0,48578.0,48600.0,,,,False,1,1064.0,,,,,,,,,,,,,,,,,,,,,,\n240,Yappi,sumerc/yappi,yappi,,,system-monitoring,,https://github.com/sumerc/yappi,https://github.com/sumerc/yappi,MIT,2009-10-07 20:46:30+00:00,2020-11-27 15:33:20+00:00,2020-11-27 15:31:52+00:00,34.0,10.0,28.0,519.0,632.0,2020-11-27 15:28:40+00:00,1.3.2,17.0,\"Yet Another Python Profiler, but this time thread&coroutine&greenlet aware.\",970.0,330.0,21.0,27,https://pypi.org/project/yappi,2020-11-27 15:28:40+00:00,640.0,117193.0,117193.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n241,Streamlit,streamlit/streamlit,streamlit,,,others,,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52+00:00,2020-11-30 17:56:30+00:00,2020-11-30 17:55:39+00:00,1011.0,495.0,879.0,12024.0,,2020-10-28 21:08:05+00:00,0.71.0,117.0,Streamlit The fastest way to build data apps in Python.,63.0,29.0,80.0,26,https://pypi.org/project/streamlit,2020-10-28 21:08:05+00:00,34.0,129492.0,129492.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n242,EasyOCR,JaidedAI/EasyOCR,easyocr,,,ocr,,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39+00:00,2020-11-24 08:39:48+00:00,2020-11-24 08:39:47+00:00,844.0,65.0,147.0,9280.0,351.0,2020-11-17 05:17:50+00:00,1.2,13.0,\"Ready-to-use OCR with 40+ languages supported including Chinese, Japanese, Korean and Thai.\",70.0,70.0,69.0,26,https://pypi.org/project/easyocr,2020-11-21 11:04:24+00:00,,6716.0,16088.0,,,,True,2,46862.0,,,,,,,,,,,,,,,,,,,,,,\n243,Dopamine,google/dopamine,dopamine-rl,,,reinforcement-learning,['tensorflow'],https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36+00:00,2020-11-24 20:59:46+00:00,2020-11-24 20:59:42+00:00,1225.0,72.0,67.0,9226.0,210.0,2020-10-16 22:05:03+00:00,3.1.8,34.0,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,31.0,,13.0,26,https://pypi.org/project/dopamine-rl,2020-10-16 22:05:03+00:00,31.0,27014.0,27014.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n244,NNI,microsoft/nni,nni,,,hyperopt,,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44+00:00,2020-11-30 17:22:21+00:00,2020-11-30 09:31:22+00:00,1056.0,244.0,796.0,8413.0,1788.0,2020-10-22 13:31:52+00:00,1.9,34.0,\"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..\",82.0,74.0,108.0,26,https://pypi.org/project/nni,2020-10-22 13:15:53+00:00,8.0,2291.0,2291.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n245,Ludwig,uber/ludwig,ludwig,,,ml-frameworks,['tensorflow'],https://github.com/uber/ludwig,https://github.com/uber/ludwig,Apache-2.0,2018-12-27 23:58:12+00:00,2020-11-30 08:19:19+00:00,2020-11-29 01:34:49+00:00,867.0,96.0,395.0,7300.0,2019.0,2020-11-16 23:55:59+00:00,0.3.1,14.0,Ludwig is a toolbox that allows to train and evaluate deep learning models without the need to write code.,77.0,71.0,82.0,26,https://pypi.org/project/ludwig,2020-10-05 23:55:39+00:00,6.0,1441.0,1441.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n246,PySyft,OpenMined/PySyft,syft,,,privacy-ml,['pytorch'],https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,MIT,2017-07-18 20:41:16+00:00,2020-11-30 17:40:51+00:00,2020-11-28 15:44:18+00:00,1480.0,338.0,2398.0,6589.0,6515.0,2020-11-12 19:57:33+00:00,0.3.0,48.0,A library for answering questions using data you cannot see.,3.0,,327.0,26,https://pypi.org/project/syft,2020-09-14 15:03:40+00:00,3.0,2261.0,2261.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n247,py-spy,benfred/py-spy,py-spy,,,system-monitoring,,https://github.com/benfred/py-spy,https://github.com/benfred/py-spy,MIT,2018-08-01 02:22:15+00:00,2020-11-30 05:32:46+00:00,2020-11-20 05:01:41+00:00,216.0,45.0,126.0,6254.0,338.0,2020-02-24 06:04:00+00:00,0.3.3,26.0,Sampling profiler for Python programs.,473.0,448.0,19.0,26,https://pypi.org/project/py-spy,2020-06-22 23:38:51+00:00,25.0,350272.0,350505.0,,,,True,2,3742.0,,,,,,,,,,,,,,,,py-spy,,,,,,\n248,imageai,OlafenwaMoses/ImageAI,imageai,,,image,,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33+00:00,2020-10-29 21:55:16+00:00,2020-01-14 21:25:23+00:00,1530.0,179.0,382.0,5479.0,277.0,2019-09-13 22:44:02+00:00,2.1.5,9.0,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,616.0,604.0,13.0,26,https://pypi.org/project/imageai,2019-09-13 22:44:02+00:00,12.0,6105.0,22358.0,,,,True,3,503857.0,,,,,,,,,,,,,,,,,,,,,,\n249,tsfresh,blue-yonder/tsfresh,tsfresh,,,time-series-data,['sklearn'],https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17+00:00,2020-11-20 11:05:56+00:00,2020-11-04 11:49:55+00:00,813.0,29.0,388.0,5191.0,398.0,2020-09-09 21:08:22+00:00,0.17.0,26.0,Automatic extraction of relevant features from time series:.,33.0,,66.0,26,https://pypi.org/project/tsfresh,2020-09-09 21:08:22+00:00,33.0,170284.0,170284.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n250,Datasets,huggingface/datasets,datasets,,,web-scraping,,https://github.com/huggingface/datasets,https://github.com/huggingface/datasets,Apache-2.0,2020-03-26 09:23:22+00:00,2020-11-30 17:45:23+00:00,2020-11-30 17:27:26+00:00,392.0,119.0,251.0,5161.0,652.0,2020-11-19 18:33:56+00:00,1.1.3,11.0,\"Fast, efficient, open-access datasets and evaluation metrics in PyTorch, TensorFlow, NumPy and Pandas.\",181.0,172.0,81.0,26,https://pypi.org/project/datasets,2020-11-19 18:07:51+00:00,9.0,22960.0,22960.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n251,backtrader,mementum/backtrader,backtrader,,,financial-data,,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52+00:00,2020-11-27 15:29:29+00:00,2020-07-03 12:52:48+00:00,1617.0,13.0,,5076.0,2381.0,,,155.0,Python Backtesting library for trading strategies.,436.0,366.0,50.0,26,https://pypi.org/project/backtrader,2020-07-03 13:02:14+00:00,70.0,11799.0,11799.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,\n252,auto-sklearn,automl/auto-sklearn,auto-sklearn,,,hyperopt,['sklearn'],https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10+00:00,2020-11-30 17:27:12+00:00,2020-11-11 08:33:40+00:00,954.0,114.0,546.0,5029.0,2364.0,2020-11-11 09:02:45+00:00,0.11.1,23.0,Automated Machine Learning with scikit-learn.,131.0,116.0,63.0,26,https://pypi.org/project/auto-sklearn,2020-11-11 08:45:35+00:00,15.0,6572.0,6572.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n253,keras-rl,keras-rl/keras-rl,keras-rl,,,reinforcement-learning,['keras'],https://github.com/keras-rl/keras-rl,https://github.com/keras-rl/keras-rl,MIT,2016-07-02 15:53:12+00:00,2020-11-20 07:32:13+00:00,2019-11-11 22:14:54+00:00,1284.0,39.0,208.0,4871.0,308.0,2018-06-01 07:52:24+00:00,0.4.2,8.0,Deep Reinforcement Learning for Keras.,472.0,421.0,40.0,26,https://pypi.org/project/keras-rl,2018-06-01 07:52:24+00:00,51.0,1634.0,1634.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n254,DeepPavlov,deepmipt/DeepPavlov,deeppavlov,,,nlp,\"['tensorflow', 'keras']\",https://github.com/deepmipt/DeepPavlov,https://github.com/deepmipt/DeepPavlov,Apache-2.0,2017-11-17 14:35:29+00:00,2020-11-30 11:59:41+00:00,2020-11-13 11:16:19+00:00,865.0,60.0,442.0,4862.0,2572.0,2020-11-13 11:39:59+00:00,0.13.0,40.0,An open source library for deep learning end-to-end dialog systems and chatbots.,165.0,161.0,60.0,26,https://pypi.org/project/deeppavlov,2020-11-13 11:22:35+00:00,4.0,4409.0,4409.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n255,scikit-surprise,NicolasHug/Surprise,scikit-surprise,,,recommender-systems,,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38+00:00,2020-08-14 13:20:04+00:00,2020-08-05 17:45:59+00:00,800.0,35.0,284.0,4528.0,622.0,2020-07-19 14:50:48+00:00,1.1.1,9.0,A Python scikit for building and analyzing recommender systems.,826.0,802.0,38.0,26,https://pypi.org/project/scikit-surprise,2020-07-19 14:50:48+00:00,24.0,46181.0,46181.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n256,PDFMiner,euske/pdfminer,pdfminer,,,data-loading,,https://github.com/euske/pdfminer,https://github.com/euske/pdfminer,MIT,2010-12-12 12:50:22+00:00,2020-06-23 18:16:10+00:00,2020-01-18 07:00:32+00:00,1024.0,222.0,38.0,4426.0,540.0,,,24.0,Python PDF Parser (Not actively maintained). Check out pdfminer.six.,3314.0,1848.0,28.0,26,https://pypi.org/project/pdfminer,2019-11-25 12:02:21+00:00,1466.0,207110.0,207110.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n257,Metaflow,Netflix/metaflow,metaflow,,,ml-experiments,,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25+00:00,2020-11-27 03:26:43+00:00,2020-11-15 17:38:32+00:00,310.0,107.0,133.0,3804.0,173.0,2020-11-11 10:43:10+00:00,2.2.5,14.0,Build and manage real-life data science projects with ease.,93.0,92.0,28.0,26,https://pypi.org/project/metaflow,2020-10-29 00:11:07+00:00,1.0,45905.0,45905.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n258,MechanicalSoup,MechanicalSoup/MechanicalSoup,MechanicalSoup,,,web-scraping,,https://github.com/MechanicalSoup/MechanicalSoup,https://github.com/MechanicalSoup/MechanicalSoup,MIT,2014-05-26 09:06:11+00:00,2020-11-11 08:39:09+00:00,2020-11-11 08:39:08+00:00,304.0,21.0,119.0,3611.0,556.0,2019-08-27 16:49:38+00:00,0.12.0,23.0,A Python library for automating interaction with websites.,390.0,,41.0,26,https://pypi.org/project/MechanicalSoup,2019-08-27 16:49:38+00:00,390.0,35045.0,35045.0,,,,True,3,36.0,,,,,,,,,,,,,,,,,,,,,,\n259,pyAudioAnalysis,tyiannak/pyAudioAnalysis,pyAudioAnalysis,,,audio,,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13+00:00,2020-11-19 20:08:47+00:00,2020-11-19 20:08:40+00:00,922.0,158.0,102.0,3555.0,672.0,2020-09-29 21:30:02+00:00,0.3.6,15.0,\"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.\",174.0,163.0,23.0,26,https://pypi.org/project/pyAudioAnalysis,2020-09-29 21:30:02+00:00,11.0,9131.0,9131.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n260,Perspective,finos/perspective,perspective-python,,,data-viz,['jupyter'],https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54+00:00,2020-11-30 15:08:05+00:00,2020-10-30 15:11:36+00:00,326.0,68.0,275.0,3019.0,4226.0,2020-10-15 13:18:28+00:00,0.5.6,38.0,Streaming pivot visualization via WebAssembly.,163.0,159.0,58.0,26,https://pypi.org/project/perspective-python,2020-10-15 13:18:28+00:00,4.0,570.0,1895.0,,,,True,3,,,,,,,,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2020-10-15 12:44:46.020000+00:00,,1325.0,,,,,,,,,,\n261,textract,deanmalmgren/textract,textract,,,data-loading,,https://github.com/deanmalmgren/textract,https://github.com/deanmalmgren/textract,MIT,2014-07-03 20:36:59+00:00,2020-11-16 14:03:14+00:00,2019-11-14 08:37:39+00:00,410.0,82.0,121.0,2904.0,556.0,2019-08-26 15:05:53+00:00,1.6.3,15.0,extract text from any document. no muss. no fuss.,192.0,,30.0,26,https://pypi.org/project/textract,2019-08-26 15:05:53+00:00,192.0,48841.0,48841.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n262,Alpha Vantage,RomelTorres/alpha_vantage,alpha_vantage,,,financial-data,,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00+00:00,2020-09-05 22:07:00+00:00,2020-09-03 14:05:24+00:00,527.0,18.0,189.0,2849.0,467.0,2020-04-26 21:04:59+00:00,2.2.0,28.0,A python wrapper for Alpha Vantage API for financial data.,202.0,,34.0,26,https://pypi.org/project/alpha_vantage,2018-08-26 18:55:11+00:00,202.0,25204.0,25204.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n263,sktime,alan-turing-institute/sktime,sktime,,,time-series-data,['sklearn'],https://github.com/alan-turing-institute/sktime,https://github.com/alan-turing-institute/sktime,BSD-3-Clause,2018-11-06 15:08:24+00:00,2020-11-30 15:26:47+00:00,2020-11-29 16:45:39+00:00,355.0,86.0,170.0,2634.0,1470.0,2020-10-20 17:12:29+00:00,0.4.3,9.0,A unified framework for machine learning with time series.,66.0,66.0,63.0,26,https://pypi.org/project/sktime,2020-10-20 16:11:01+00:00,,6468.0,6469.0,,,,True,2,31.0,,,,,,,,,,,,,,,,,,,,,,\n264,pyinstrument,joerick/pyinstrument,pyinstrument,,,system-monitoring,,https://github.com/joerick/pyinstrument,https://github.com/joerick/pyinstrument,BSD-3-Clause,2014-03-13 17:53:13+00:00,2020-09-29 15:02:10+00:00,2020-09-22 18:11:09+00:00,89.0,18.0,50.0,2267.0,396.0,2020-08-21 11:12:14+00:00,3.2.0,26.0,Call stack profiler for Python. Shows you why your code is slow!.,326.0,190.0,21.0,26,https://pypi.org/project/pyinstrument,2020-09-09 18:00:59+00:00,136.0,42074.0,42074.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n265,Hyperas,maxpumperla/hyperas,hyperas,,,hyperopt,['keras'],https://github.com/maxpumperla/hyperas,https://github.com/maxpumperla/hyperas,MIT,2016-02-19 14:45:10+00:00,2020-10-02 08:10:06+00:00,2020-10-02 08:10:05+00:00,296.0,88.0,158.0,2052.0,208.0,2019-02-28 09:16:54+00:00,0.4.1,9.0,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,201.0,180.0,21.0,26,https://pypi.org/project/hyperas,2019-02-28 09:16:54+00:00,21.0,16032.0,16032.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n266,Grab,lorien/grab,grab,,,web-scraping,,https://github.com/lorien/grab,https://github.com/lorien/grab,MIT,2013-05-01 08:10:22+00:00,2020-10-01 04:27:01+00:00,2020-05-07 14:35:14+00:00,239.0,28.0,184.0,2006.0,2161.0,2018-06-24 14:27:52+00:00,0.6.41,120.0,Web Scraping Framework.,396.0,296.0,63.0,26,https://pypi.org/project/grab,2018-06-24 14:27:52+00:00,100.0,3044.0,3044.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n267,Core ML Tools,apple/coremltools,coremltools,,,model-serialisation,,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02+00:00,2020-11-26 05:43:33+00:00,2020-11-26 05:43:32+00:00,319.0,286.0,292.0,1994.0,843.0,2020-10-10 18:21:00+00:00,4.0,27.0,\"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.\",545.0,412.0,105.0,26,https://pypi.org/project/coremltools,2020-10-10 18:16:12+00:00,133.0,49360.0,49412.0,,,,True,2,1991.0,,,,,,,,,,,,,,,,,,,,,,\n268,BoTorch,pytorch/botorch,botorch,,,hyperopt,['pytorch'],https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57+00:00,2020-11-25 05:29:11+00:00,2020-11-25 05:28:56+00:00,165.0,37.0,98.0,1764.0,768.0,2020-10-26 04:35:49+00:00,0.3.2,15.0,Bayesian optimization in PyTorch.,63.0,63.0,47.0,26,https://pypi.org/project/botorch,2020-10-26 04:35:49+00:00,,29332.0,29332.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n269,PyFunctional,EntilZha/PyFunctional,pyfunctional,,,data-pipelines,,https://github.com/EntilZha/PyFunctional,https://github.com/EntilZha/PyFunctional,MIT,2015-02-05 17:17:51+00:00,2020-09-17 13:36:04+00:00,2020-09-17 13:33:20+00:00,96.0,3.0,113.0,1740.0,513.0,2020-09-17 13:36:04+00:00,1.4.2,13.0,Python library for creating data pipelines with chain functional programming.,234.0,234.0,21.0,26,https://pypi.org/project/pyfunctional,2020-09-17 13:36:04+00:00,0.0,34485.0,34485.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n270,Foolbox,bethgelab/foolbox,foolbox,,,adversarial,,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48+00:00,2020-10-19 15:16:32+00:00,2020-10-19 12:41:49+00:00,304.0,38.0,259.0,1704.0,1634.0,2020-09-26 06:49:13+00:00,3.2.1,66.0,\"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.\",172.0,154.0,30.0,26,https://pypi.org/project/foolbox,2020-09-26 06:49:13+00:00,18.0,1341.0,1341.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n271,langid,saffsd/langid.py,langid,,,nlp,,https://github.com/saffsd/langid.py,https://github.com/saffsd/langid.py,BSD-3-Clause,2011-04-29 00:16:56+00:00,2020-01-01 10:49:30+00:00,2017-07-15 02:49:17+00:00,265.0,25.0,45.0,1680.0,242.0,2016-04-05 22:34:15+00:00,1.1.6,8.0,Stand-alone language identification system.,792.0,542.0,9.0,26,https://pypi.org/project/langid,2016-04-05 22:34:15+00:00,250.0,603190.0,603190.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,\n272,StellarGraph,stellargraph/stellargraph,stellargraph,,,graph,['keras'],https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51+00:00,2020-09-28 06:38:11+00:00,2020-07-21 04:03:09+00:00,240.0,211.0,693.0,1655.0,2515.0,2020-06-30 05:15:21+00:00,1.2.1,25.0,StellarGraph - Machine Learning on Graphs.,38.0,36.0,28.0,26,https://pypi.org/project/stellargraph,2020-06-25 09:38:56+00:00,2.0,12447.0,12447.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n273,Diamond,python-diamond/Diamond,diamond,,,system-monitoring,,https://github.com/python-diamond/Diamond,https://github.com/python-diamond/Diamond,MIT,2013-10-11 23:32:13+00:00,2020-05-26 18:27:46+00:00,2018-03-15 16:54:31+00:00,592.0,226.0,128.0,1588.0,3219.0,2016-11-25 22:13:29+00:00,4.0.515,36.0,Diamond is a python daemon that collects system metrics and publishes them to Graphite (and others). It is capable of..,85.0,54.0,342.0,26,https://pypi.org/project/diamond,2016-11-25 22:13:29+00:00,31.0,31004.0,31004.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,\n274,datasketch,ekzhu/datasketch,datasketch,,,data-containers,,https://github.com/ekzhu/datasketch,https://github.com/ekzhu/datasketch,MIT,2015-03-20 01:21:46+00:00,2020-11-30 07:36:30+00:00,2020-03-12 22:50:40+00:00,194.0,15.0,88.0,1380.0,184.0,2020-03-12 22:50:20+00:00,1.5.1,73.0,\"MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble.\",319.0,233.0,14.0,26,https://pypi.org/project/datasketch,2020-03-12 22:50:20+00:00,86.0,255836.0,255836.0,,,,True,3,16.0,,,,,,,,,,,,,,,,,,,,,,\n275,tesserocr,sirfz/tesserocr,tesserocr,conda-forge/tesserocr,,ocr,,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36+00:00,2020-11-17 19:55:51+00:00,2020-11-17 19:55:36+00:00,185.0,60.0,141.0,1354.0,151.0,2020-03-17 17:45:44+00:00,2.5.1,15.0,A Python wrapper for the tesseract-ocr API.,472.0,422.0,23.0,26,https://pypi.org/project/tesserocr,2020-03-17 17:45:44+00:00,50.0,54579.0,54579.0,https://anaconda.org/conda-forge/tesserocr,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n276,Flax,google/flax,flax,,,ml-frameworks,['jax'],https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37+00:00,2020-11-30 15:59:46+00:00,2020-11-30 12:28:52+00:00,135.0,74.0,87.0,1229.0,1266.0,2020-10-01 14:05:02+00:00,0.2.2,8.0,Flax is a neural network ecosystem for JAX that is designed for flexibility.,64.0,61.0,64.0,26,https://pypi.org/project/flax,2013-07-02 15:10:20+00:00,3.0,27370.0,27371.0,,,,True,3,12.0,,,,,,,,,,,,,,,,,,,,,,\n277,TF Model Optimization,tensorflow/model-optimization,tensorflow-model-optimization,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/model-optimization,https://github.com/tensorflow/model-optimization,Apache-2.0,2018-10-31 20:34:28+00:00,2020-11-25 18:40:36+00:00,2020-11-23 18:50:28+00:00,207.0,70.0,84.0,928.0,459.0,2020-09-14 04:46:03+00:00,0.5.0,20.0,\"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.\",452.0,449.0,41.0,26,https://pypi.org/project/tensorflow-model-optimization,2020-09-14 04:36:08+00:00,3.0,54919.0,54919.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n278,petl,petl-developers/petl,petl,,http://petl.readthedocs.org,data-pipelines,,https://github.com/petl-developers/petl,https://github.com/petl-developers/petl,MIT,2011-08-19 09:51:03+00:00,2020-10-08 05:10:01+00:00,2020-10-06 16:17:45+00:00,146.0,66.0,341.0,794.0,1098.0,2020-10-06 00:03:28+00:00,1.6.8,74.0,Python Extract Transform and Load Tables of Data.,398.0,284.0,42.0,26,https://pypi.org/project/petl,2020-10-06 00:03:28+00:00,114.0,17495.0,17495.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n279,cx-Oracle,oracle/python-cx_Oracle,cx-Oracle,,,db-clients,,https://github.com/oracle/python-cx_Oracle,https://github.com/oracle/python-cx_Oracle,BSD-3-Clause,2017-03-07 04:03:36+00:00,2020-11-19 04:26:27+00:00,2020-11-19 04:26:10+00:00,243.0,35.0,449.0,675.0,1063.0,2020-09-01 03:39:52+00:00,8.0.1,31.0,Python interface to Oracle Database conforming to the Python DB API 2.0 specification.,144.0,,16.0,26,https://pypi.org/project/cx-Oracle,2020-09-01 03:39:52+00:00,144.0,1092183.0,1092183.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n280,dask-ml,dask/dask-ml,dask-ml,,,distributed-ml,,https://github.com/dask/dask-ml,https://github.com/dask/dask-ml,BSD-3-Clause,2017-06-15 15:56:06+00:00,2020-11-25 22:14:18+00:00,2020-11-25 22:14:17+00:00,177.0,173.0,199.0,674.0,749.0,2020-09-24 19:34:38+00:00,1.7.0,26.0,Scalable Machine Learning with Dask.,351.0,309.0,60.0,26,https://pypi.org/project/dask-ml,2020-09-24 19:34:38+00:00,42.0,37798.0,37798.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n281,TensorFlow Text,tensorflow/text,tensorflow-text,,,nlp,['tensorflow'],https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03+00:00,2020-11-25 23:14:57+00:00,2020-11-25 00:13:22+00:00,78.0,41.0,75.0,664.0,301.0,2020-07-28 22:33:24+00:00,2.3.0,27.0,Making text a first-class citizen in TensorFlow.,338.0,336.0,29.0,26,https://pypi.org/project/tensorflow-text,2020-11-16 09:35:04+00:00,2.0,115508.0,115508.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n282,empyrical,quantopian/empyrical,empyrical,,,financial-data,,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52+00:00,2020-10-14 13:23:19+00:00,2020-10-14 13:22:39+00:00,199.0,27.0,25.0,650.0,167.0,2020-10-13 21:28:25+00:00,0.5.5,20.0,Common financial risk and performance metrics. Used by zipline and pyfolio.,691.0,469.0,22.0,26,https://pypi.org/project/empyrical,2020-10-13 17:31:37+00:00,222.0,14409.0,14409.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n283,CLTK,cltk/cltk,cltk,,,nlp,,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47+00:00,2020-11-30 05:32:39+00:00,2020-11-26 05:00:08+00:00,296.0,124.0,356.0,620.0,2771.0,2020-06-22 06:03:33+00:00,0.1.121,158.0,The Classical Language Toolkit.,212.0,144.0,107.0,26,https://pypi.org/project/cltk,2020-10-08 23:02:00+00:00,68.0,1314.0,1314.0,,,,True,2,21.0,,,,,,,,,,,,,,,,,,,,,,\n284,PyVista,pyvista/pyvista,pyvista,,,data-viz,['jupyter'],https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42+00:00,2020-11-30 13:46:15+00:00,2020-11-29 03:36:14+00:00,129.0,108.0,255.0,593.0,2036.0,2020-11-29 07:36:58+00:00,0.27.3,31.0,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,218.0,205.0,45.0,26,https://pypi.org/project/pyvista,2020-11-29 07:36:58+00:00,13.0,10320.0,10320.0,,,,True,3,10.0,,,,,,,,,,,,,,,,,,,,,,\n285,zarr,zarr-developers/zarr-python,zarr,zarr,,data-containers,,https://github.com/zarr-developers/zarr-python,https://github.com/zarr-developers/zarr-python,MIT,2015-12-15 14:49:40+00:00,2020-11-27 21:30:12+00:00,2020-11-23 22:22:23+00:00,100.0,173.0,222.0,590.0,1333.0,2020-10-08 19:26:53+00:00,2.5.0,29.0,\"An implementation of chunked, compressed, N-dimensional arrays for Python.\",537.0,465.0,35.0,26,https://pypi.org/project/zarr,2020-10-06 16:51:55+00:00,72.0,25680.0,25680.0,https://anaconda.org/anaconda/zarr,2020-10-08 19:26:53+00:00,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n286,SMAC3,automl/SMAC3,smac,,,hyperopt,,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-3-Clause,2016-08-17 10:58:05+00:00,2020-11-28 22:28:51+00:00,2020-10-29 10:14:55+00:00,153.0,76.0,249.0,540.0,1888.0,2020-10-29 10:57:56+00:00,0.13.1,29.0,Sequential Model-based Algorithm Configuration.,58.0,,30.0,26,https://pypi.org/project/smac,2020-10-29 10:57:56+00:00,58.0,10737.0,10737.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n287,mpi4py,mpi4py/mpi4py,mpi4py,,,distributed-ml,,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-3-Clause,2013-09-05 14:44:25+00:00,2020-11-10 20:15:53+00:00,2020-11-10 20:01:45+00:00,60.0,,2.0,355.0,2167.0,2020-07-27 06:40:19+00:00,3.0.3,13.0,Python bindings for MPI.,700.0,,13.0,26,https://pypi.org/project/mpi4py,2019-11-04 13:05:10+00:00,700.0,273813.0,273856.0,,,,True,2,174.0,,,,,,,,,,,,,,,,,,,,,,\n288,cloudant,cloudant/python-cloudant,cloudant,,,db-clients,,https://github.com/cloudant/python-cloudant,https://github.com/cloudant/python-cloudant,Apache-2.0,2015-08-28 16:22:49+00:00,2020-11-25 17:20:17+00:00,2020-11-25 17:20:12+00:00,44.0,39.0,240.0,155.0,802.0,2020-08-18 12:14:54+00:00,2.14.0,46.0,A Python library for Cloudant and CouchDB.,1749.0,1215.0,27.0,26,https://pypi.org/project/cloudant,2020-08-18 11:22:22+00:00,534.0,51052.0,51052.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n289,DeepSpeech,mozilla/DeepSpeech,deepspeech,,,audio,['tensorflow'],https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53+00:00,2020-11-20 10:54:51+00:00,,2933.0,83.0,,15831.0,,2020-11-05 10:06:04+00:00,0.9.1,97.0,\"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..\",29.0,,93.0,25,https://pypi.org/project/deepspeech,2020-11-05 10:06:04+00:00,29.0,14472.0,14472.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n290,MMDetection,open-mmlab/mmdetection,,,,image,['pytorch'],https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06+00:00,2020-11-30 17:17:52+00:00,2020-11-30 15:26:01+00:00,4362.0,391.0,2693.0,12644.0,1333.0,2020-11-30 15:29:24+00:00,2.7.0,7.0,OpenMMLab Detection Toolbox and Benchmark.,17.0,17.0,174.0,25,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n291,PyText,facebookresearch/pytext,pytext-nlp,,,nlp,['pytorch'],https://github.com/facebookresearch/pytext,https://github.com/facebookresearch/pytext,BSD-3-Clause,2018-07-31 23:40:46+00:00,2020-11-30 15:56:36+00:00,2020-11-19 19:49:09+00:00,751.0,115.0,74.0,6077.0,1303.0,2020-06-08 23:30:58+00:00,0.3.3,12.0,A natural language modeling framework based on PyTorch.,53.0,52.0,142.0,25,https://pypi.org/project/pytext-nlp,2020-04-27 08:09:25+00:00,1.0,224.0,232.0,,,,True,2,194.0,,,,,,,,,,,,,,,,,,,,,,\n292,Trax,google/trax,trax,,,others,,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14+00:00,2020-11-30 17:20:12+00:00,2020-11-30 17:20:00+00:00,487.0,53.0,92.0,5321.0,1157.0,2020-10-21 02:32:42+00:00,1.3.6,19.0,Trax Deep Learning with Clear Code and Speed.,13.0,13.0,51.0,25,https://pypi.org/project/trax,2020-10-21 02:31:08+00:00,,2255.0,2255.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n293,CleverHans,tensorflow/cleverhans,cleverhans,,,adversarial,['tensorflow'],https://github.com/tensorflow/cleverhans,https://github.com/tensorflow/cleverhans,MIT,2016-09-15 00:28:04+00:00,2020-11-26 18:08:48+00:00,2020-07-09 02:26:15+00:00,1193.0,74.0,373.0,4843.0,3001.0,2018-11-27 17:36:15+00:00,3.0.1,6.0,\"An adversarial example library for constructing attacks, building defenses, and benchmarking both.\",180.0,172.0,108.0,25,https://pypi.org/project/cleverhans,2018-11-27 17:36:15+00:00,8.0,1096.0,1096.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n294,Augmentor,mdbloice/Augmentor,Augmentor,,,image,,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55+00:00,2020-11-10 05:20:01+00:00,2020-03-09 11:32:02+00:00,777.0,115.0,67.0,4212.0,511.0,2020-01-17 11:59:53+00:00,0.2.8,20.0,Image augmentation library in Python for machine learning.,301.0,259.0,22.0,25,https://pypi.org/project/Augmentor,2020-01-17 11:59:53+00:00,42.0,2759.0,2759.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n295,mlpack,mlpack/mlpack,mlpack,,,ml-frameworks,,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59+00:00,2020-11-30 17:23:01+00:00,2020-11-30 14:32:41+00:00,1252.0,145.0,1164.0,3443.0,25422.0,2020-10-28 18:28:47+00:00,3.4.2,40.0,mlpack: a scalable C++ machine learning library --.,,,254.0,25,https://pypi.org/project/mlpack,2020-10-28 18:28:47+00:00,,278.0,278.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n296,pyfolio,quantopian/pyfolio,pyfolio,,,financial-data,,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39+00:00,2020-07-29 16:06:37+00:00,2020-07-15 13:46:58+00:00,966.0,119.0,263.0,3250.0,1184.0,2019-04-15 14:54:03+00:00,0.9.1,21.0,Portfolio and risk analytics in Python.,204.0,177.0,55.0,25,https://pypi.org/project/pyfolio,2019-04-15 14:54:03+00:00,27.0,6964.0,6964.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n297,yellowbrick,DistrictDataLabs/yellowbrick,yellowbrick,,,interpretability,['sklearn'],https://github.com/DistrictDataLabs/yellowbrick,https://github.com/DistrictDataLabs/yellowbrick,Apache-2.0,2016-05-18 14:12:17+00:00,2020-11-01 16:41:29+00:00,2020-11-01 16:41:28+00:00,462.0,83.0,503.0,3022.0,829.0,2020-10-09 19:34:55+00:00,1.2,19.0,Visual analysis and diagnostic tools to facilitate machine learning model selection.,62.0,,95.0,25,https://pypi.org/project/yellowbrick,2020-10-09 19:35:00+00:00,62.0,57735.0,57735.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n298,ftfy,LuminosoInsight/python-ftfy,ftfy,,,nlp,,https://github.com/LuminosoInsight/python-ftfy,https://github.com/LuminosoInsight/python-ftfy,MIT,2012-08-24 16:14:59+00:00,2020-08-21 18:13:12+00:00,2020-07-17 21:21:57+00:00,98.0,12.0,92.0,2855.0,510.0,2020-02-18 16:42:00+00:00,5.6.1,41.0,\"Fixes mojibake and other glitches in Unicode text, after the fact.\",3191.0,2431.0,17.0,25,https://pypi.org/project/ftfy,2020-07-20 21:50:51+00:00,760.0,256487.0,256487.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n299,Chartify,spotify/chartify,chartify,,,data-viz,,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05+00:00,2020-11-02 22:14:08+00:00,2020-11-02 22:11:04+00:00,242.0,40.0,30.0,2777.0,186.0,2020-11-02 22:14:08+00:00,3.0.3,16.0,Python library that makes it easy for data scientists to create charts.,56.0,51.0,19.0,25,https://pypi.org/project/chartify,2020-11-02 22:14:08+00:00,5.0,11103.0,11103.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n300,pytorch-summary,sksq96/pytorch-summary,torchsummary,,,pytorch-utils,['pytorch'],https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04+00:00,2020-09-11 22:33:42+00:00,2020-08-07 01:16:40+00:00,325.0,100.0,36.0,2757.0,56.0,2018-09-26 05:07:28+00:00,1.5.1,12.0,Model summary in PyTorch similar to `model.summary()` in Keras.,1656.0,1538.0,11.0,25,https://pypi.org/project/torchsummary,2018-09-26 05:07:28+00:00,118.0,32831.0,32831.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n301,nevergrad,facebookresearch/nevergrad,nevergrad,,,hyperopt,,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17+00:00,2020-11-30 17:37:00+00:00,2020-11-30 12:47:27+00:00,259.0,89.0,107.0,2722.0,684.0,2020-08-04 12:13:07+00:00,0.4.2,24.0,A Python toolbox for performing gradient-free optimization.,105.0,98.0,39.0,25,https://pypi.org/project/nevergrad,2020-10-26 17:44:20+00:00,7.0,7585.0,7585.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n302,Sumy,miso-belica/sumy,sumy,,,nlp,,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48+00:00,2020-11-21 17:08:35+00:00,2020-11-21 17:08:33+00:00,429.0,10.0,78.0,2429.0,397.0,2019-05-19 14:39:21+00:00,0.8.1,13.0,Module for automatic summarization of text documents and HTML pages.,785.0,593.0,20.0,25,https://pypi.org/project/sumy,2019-05-19 14:38:29+00:00,192.0,10341.0,10341.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n303,Neural Network Libraries,sony/nnabla,nnabla,,,ml-frameworks,,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10+00:00,2020-11-28 01:39:06+00:00,2020-11-28 01:39:01+00:00,297.0,32.0,18.0,2375.0,2176.0,2020-11-04 08:23:55+00:00,1.13.0,49.0,Neural Network Libraries.,34.0,,53.0,25,https://pypi.org/project/nnabla,2020-11-04 05:00:37+00:00,34.0,1401.0,1413.0,,,,True,3,482.0,,,,,,,,,,,,,,,,,,,,,,\n304,Pony,ponyorm/pony,pony,conda-forge/pony,,db-clients,,https://github.com/ponyorm/pony,https://github.com/ponyorm/pony,Apache-2.0,2013-02-08 04:56:00+00:00,2020-11-23 19:12:54+00:00,2020-11-23 17:42:03+00:00,184.0,235.0,299.0,2371.0,,2020-11-23 19:13:28+00:00,0.7.14,44.0,Pony Object Relational Mapper.,2109.0,1571.0,20.0,25,https://pypi.org/project/pony,2020-11-23 18:56:34+00:00,538.0,24929.0,24929.0,https://anaconda.org/conda-forge/pony,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n305,gpustat,wookayin/gpustat,gpustat,,,system-monitoring,,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43+00:00,2020-05-19 04:45:48+00:00,2020-05-19 04:45:47+00:00,180.0,18.0,44.0,2111.0,165.0,2019-07-22 06:37:00+00:00,0.6.0,10.0,A simple command-line utility for querying and monitoring GPU status.,533.0,475.0,10.0,25,https://pypi.org/project/gpustat,2019-07-22 06:17:48+00:00,58.0,142170.0,142170.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n306,Captum,pytorch/captum,captum,,,interpretability,['pytorch'],https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41+00:00,2020-11-30 16:43:52+00:00,2020-11-27 08:48:20+00:00,180.0,44.0,117.0,1927.0,762.0,2020-11-13 23:52:08+00:00,0.3.0,4.0,Model interpretability and understanding for PyTorch.,87.0,87.0,63.0,25,https://pypi.org/project/captum,2020-11-13 20:23:21+00:00,,7164.0,7164.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n307,polyglot,aboSamoor/polyglot,polyglot,,,nlp,,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,GPL-3.0,2014-06-30 02:07:45+00:00,2020-10-27 10:55:53+00:00,2020-09-22 22:35:28+00:00,292.0,132.0,62.0,1716.0,271.0,2016-07-03 20:05:42+00:00,16.7.4,8.0,Multilingual text (NLP) processing toolkit.,465.0,400.0,26.0,25,https://pypi.org/project/polyglot,2016-07-03 20:05:42+00:00,65.0,43505.0,43505.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,\n308,Alphalens,quantopian/alphalens,alphalens,,,financial-data,,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15+00:00,2020-09-05 16:48:14+00:00,2020-04-27 18:40:41+00:00,573.0,38.0,144.0,1616.0,522.0,2020-04-30 15:42:52+00:00,0.4.0,10.0,Performance analysis of predictive (alpha) stock factors.,342.0,328.0,24.0,25,https://pypi.org/project/alphalens,2020-04-27 21:03:10+00:00,14.0,1655.0,1655.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n309,Jina,jina-ai/jina,jina,,,nlp,,https://github.com/jina-ai/jina,https://github.com/jina-ai/jina,Apache-2.0,2020-02-13 17:04:44+00:00,2020-11-30 17:03:48+00:00,2020-11-30 17:00:35+00:00,276.0,29.0,456.0,1604.0,4025.0,2020-11-24 16:29:50+00:00,0.8.2,90.0,An easier way to build neural search in the cloud.,38.0,38.0,68.0,25,https://pypi.org/project/jina,2020-11-29 23:10:24+00:00,,1376.0,7958.0,,,,True,2,,,,jinaai/jina,https://hub.docker.com/r/jinaai/jina,2020-11-30 16:38:08.556329+00:00,,59245.0,,,,,,,,,,,,,,,\n310,category_encoders,scikit-learn-contrib/category_encoders,category_encoders,,,others,['sklearn'],https://github.com/scikit-learn-contrib/category_encoders,https://github.com/scikit-learn-contrib/category_encoders,BSD-3-Clause,2015-11-29 19:32:37+00:00,2020-11-10 15:17:22+00:00,2020-07-31 10:43:44+00:00,288.0,59.0,133.0,1520.0,671.0,2020-04-29 02:09:51+00:00,2.2.2,19.0,A library of sklearn compatible categorical variable encoders.,23.0,,34.0,25,https://pypi.org/project/category_encoders,2018-10-14 14:15:54+00:00,23.0,343949.0,343949.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n311,swifter,jmcarpenter2/swifter,swifter,,,data-containers,,https://github.com/jmcarpenter2/swifter,https://github.com/jmcarpenter2/swifter,MIT,2018-04-07 21:37:19+00:00,2020-10-11 22:49:24+00:00,2020-10-11 22:48:00+00:00,68.0,12.0,76.0,1464.0,422.0,2020-10-11 22:42:57+00:00,1.0.7,71.0,A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner.,271.0,255.0,14.0,25,https://pypi.org/project/swifter,2020-10-11 22:42:57+00:00,16.0,45215.0,45215.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n312,streamparse,Parsely/streamparse,streamparse,,,data-pipelines,,https://github.com/Parsely/streamparse,https://github.com/Parsely/streamparse,Apache-2.0,2014-05-02 20:33:50+00:00,2020-10-07 19:53:33+00:00,2020-10-07 19:37:17+00:00,219.0,69.0,263.0,1420.0,1058.0,2020-10-07 19:53:15+00:00,4.0.0,47.0,\"Run Python in Apache Storm topologies. Pythonic API, CLI tooling, and a topology DSL.\",72.0,46.0,40.0,25,https://pypi.org/project/streamparse,2020-10-07 19:45:19+00:00,26.0,2108.0,2108.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n313,Ax,facebook/Ax,ax-platform,,,hyperopt,['pytorch'],https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44+00:00,2020-11-25 20:20:26+00:00,2020-11-25 20:20:20+00:00,135.0,30.0,168.0,1336.0,852.0,2020-11-04 19:26:15+00:00,0.1.18,19.0,Adaptive Experimentation Platform.,108.0,104.0,86.0,25,https://pypi.org/project/ax-platform,2020-11-04 19:26:15+00:00,4.0,21030.0,21030.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n314,AWS Data Wrangler,awslabs/aws-data-wrangler,awswrangler,,,db-clients,,https://github.com/awslabs/aws-data-wrangler,https://github.com/awslabs/aws-data-wrangler,Apache-2.0,2019-02-26 01:39:02+00:00,2020-11-26 01:43:05+00:00,2020-11-26 01:32:19+00:00,200.0,31.0,227.0,1222.0,1135.0,2020-11-26 01:43:05+00:00,1.10.1,100.0,Pandas on AWS.,,,49.0,25,https://pypi.org/project/awswrangler,2020-11-26 01:33:24+00:00,,264666.0,265731.0,,,,True,3,17045.0,,,,,,,,,,,,,,,,,,,,,,\n315,Fairness 360,Trusted-AI/AIF360,aif360,,,interpretability,,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15+00:00,2020-11-23 20:50:06+00:00,2020-10-28 02:10:25+00:00,363.0,35.0,46.0,1143.0,288.0,2020-06-02 22:59:53+00:00,0.3.0,8.0,\"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..\",59.0,57.0,40.0,25,https://pypi.org/project/aif360,2020-06-02 22:49:24+00:00,2.0,4033.0,4033.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n316,ViZDoom,mwydmuch/ViZDoom,vizdoom,,,reinforcement-learning,,https://github.com/mwydmuch/ViZDoom,https://github.com/mwydmuch/ViZDoom,MIT,2015-06-26 18:38:23+00:00,2020-11-18 16:25:08+00:00,2020-11-18 16:24:56+00:00,273.0,89.0,320.0,1120.0,1457.0,2020-10-29 15:54:47+00:00,1.1.8,19.0,Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information.,106.0,94.0,42.0,25,https://pypi.org/project/vizdoom,2020-10-29 15:56:20+00:00,12.0,604.0,784.0,,,,True,2,10104.0,,,,,,,,,,,,,,,,,,,,,,\n317,ArcGIS API,Esri/arcgis-python-api,arcgis,,,geospatial-data,,https://github.com/Esri/arcgis-python-api,https://github.com/Esri/arcgis-python-api,Apache-2.0,2016-03-16 01:09:14+00:00,2020-11-30 16:13:47+00:00,2020-11-25 22:56:25+00:00,676.0,125.0,181.0,905.0,2652.0,2020-11-30 16:13:47+00:00,1.8.3,24.0,Documentation and samples for ArcGIS API for Python.,10.0,,57.0,25,https://pypi.org/project/arcgis,2020-11-30 16:13:47+00:00,10.0,12288.0,12351.0,,,,True,3,,,,esridocker/arcgis-api-python-notebook,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,2020-03-06 00:53:45.164342+00:00,28.0,3560.0,,,,,,,,,,,,,,,\n318,ktrain,amaiya/ktrain,ktrain,,,ml-frameworks,['keras'],https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39+00:00,2020-11-28 22:29:48+00:00,2020-11-10 01:30:42+00:00,161.0,6.0,253.0,667.0,2053.0,2020-11-08 16:16:43+00:00,0.25.0,142.0,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,101.0,100.0,12.0,25,https://pypi.org/project/ktrain,2020-11-08 00:07:22+00:00,1.0,8271.0,8271.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n319,arch,bashtage/arch,arch,,,financial-data,,https://github.com/bashtage/arch,https://github.com/bashtage/arch,NCSA,2014-08-29 15:41:28+00:00,2020-11-09 16:52:26+00:00,2020-11-04 14:02:02+00:00,149.0,14.0,119.0,609.0,711.0,2020-06-24 19:19:12+00:00,4.15,26.0,ARCH models in Python.,233.0,212.0,26.0,25,https://pypi.org/project/arch,2020-06-24 19:20:21+00:00,21.0,84849.0,84849.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,\n320,Mesh,tensorflow/mesh,mesh-tensorflow,,,distributed-ml,['tensorflow'],https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34+00:00,2020-11-29 04:39:10+00:00,2020-11-29 04:39:00+00:00,107.0,61.0,11.0,587.0,557.0,2020-10-13 13:40:11+00:00,0.1.17,23.0,Mesh TensorFlow: Model Parallelism Made Easier.,481.0,453.0,38.0,25,https://pypi.org/project/mesh-tensorflow,2020-10-13 13:40:11+00:00,28.0,57902.0,57902.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n321,HappyBase,python-happybase/happybase,happybase,conda-forge/happybase,,db-clients,,https://github.com/python-happybase/happybase,https://github.com/python-happybase/happybase,MIT,2012-05-20 20:06:10+00:00,2020-04-09 10:46:31+00:00,2020-04-09 10:46:29+00:00,151.0,27.0,178.0,550.0,283.0,2017-04-03 21:13:18+00:00,1.1.0,11.0,A developer-friendly Python library to interact with Apache HBase.,859.0,437.0,19.0,25,https://pypi.org/project/happybase,2017-04-03 21:13:18+00:00,422.0,104524.0,104524.0,https://anaconda.org/conda-forge/happybase,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n322,Intake,intake/intake,intake,,,data-loading,,https://github.com/intake/intake,https://github.com/intake/intake,BSD-2-Clause,2017-08-14 20:44:22+00:00,2020-11-23 15:44:44+00:00,2020-11-23 15:44:43+00:00,87.0,64.0,186.0,491.0,1590.0,2020-06-03 19:03:40+00:00,0.6.0,19.0,\"Intake is a lightweight package for finding, investigating, loading and disseminating data.\",276.0,202.0,48.0,25,https://pypi.org/project/intake,2020-06-03 19:03:40+00:00,74.0,4155.0,4155.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n323,TensorFlow I/O,tensorflow/io,tensorflow-io,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05+00:00,2020-11-28 16:02:18+00:00,2020-11-27 12:46:05+00:00,135.0,107.0,255.0,379.0,1296.0,2020-10-23 18:42:52+00:00,0.16.0,20.0,\"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.\",78.0,78.0,68.0,25,https://pypi.org/project/tensorflow-io,2020-10-23 18:39:24+00:00,,35297.0,35297.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n324,hvPlot,holoviz/hvplot,hvplot,,,data-viz,,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41+00:00,2020-11-18 20:48:11+00:00,2020-11-18 20:38:19+00:00,47.0,95.0,213.0,327.0,360.0,2020-06-02 01:53:24+00:00,0.6.0,9.0,\"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.\",382.0,367.0,22.0,25,https://pypi.org/project/hvplot,2020-06-02 00:27:18+00:00,15.0,53034.0,53034.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n325,Altair,ellisonbg/altair,altair,,,data-viz,,https://github.com/ellisonbg/altair,https://github.com/ellisonbg/altair,BSD-3-Clause,2016-09-26 16:59:17+00:00,2020-04-01 13:23:10+00:00,2018-05-18 19:10:50+00:00,19.0,,,242.0,1802.0,2020-04-01 13:23:10+00:00,4.1.0,26.0,Declarative statistical visualization library for Python.,370.0,,50.0,25,https://pypi.org/project/altair,2020-04-01 13:23:10+00:00,370.0,639616.0,639616.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n326,ParlAI,facebookresearch/ParlAI,parlai,,,nlp,['pytorch'],https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44+00:00,2020-11-30 15:22:32+00:00,2020-11-29 22:51:09+00:00,1373.0,111.0,779.0,6794.0,3530.0,2020-10-16 18:05:43+00:00,0.9.4,11.0,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,4.0,4.0,134.0,24,https://pypi.org/project/parlai,2020-10-16 18:04:08+00:00,,604.0,604.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n327,Facets Overview,pair-code/facets,facets-overview,,,data-viz,['jupyter'],https://github.com/PAIR-code/facets,https://github.com/PAIR-code/facets,Apache-2.0,2017-07-07 14:03:03+00:00,2020-10-27 19:51:23+00:00,2020-10-27 19:51:22+00:00,782.0,71.0,74.0,6406.0,259.0,2019-07-24 15:33:29+00:00,0.9.1,4.0,Visualizations for machine learning datasets.,34.0,34.0,27.0,24,https://pypi.org/project/facets-overview,2019-07-24 15:33:29+00:00,,14667.0,14667.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n328,NuPIC,numenta/nupic,nupic,,,ml-frameworks,,https://github.com/numenta/nupic,https://github.com/numenta/nupic,AGPL-3.0,2013-04-05 23:14:27+00:00,2020-03-12 17:13:44+00:00,2019-10-23 20:45:07+00:00,1585.0,456.0,1337.0,6190.0,6625.0,2018-06-01 15:37:54+00:00,1.0.5,53.0,\"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..\",123.0,85.0,119.0,24,https://pypi.org/project/nupic,2018-06-01 15:37:54+00:00,38.0,1299.0,1299.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n329,PyTorch Image Models,rwightman/pytorch-image-models,,,,image,['pytorch'],https://github.com/rwightman/pytorch-image-models,https://github.com/rwightman/pytorch-image-models,Apache-2.0,2019-02-02 05:51:12+00:00,2020-11-30 05:57:55+00:00,2020-11-24 17:47:15+00:00,796.0,19.0,189.0,5729.0,617.0,2020-10-26 23:59:21+00:00,0.1-itjx,12.0,\"PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2,..\",175.0,175.0,23.0,24,,,,,6937.0,,,,True,3,124879.0,,,,,,,,,,,,,,,,,,,,,,\n330,mmdnn,Microsoft/MMdnn,mmdnn,,,model-serialisation,,https://github.com/microsoft/MMdnn,https://github.com/microsoft/MMdnn,MIT,2017-08-16 08:03:52+00:00,2020-10-22 09:57:53+00:00,2020-08-14 02:32:30+00:00,921.0,306.0,281.0,5094.0,1083.0,2020-07-24 06:34:39+00:00,0.3.1,12.0,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,49.0,46.0,85.0,24,https://pypi.org/project/mmdnn,2020-07-24 06:34:39+00:00,3.0,736.0,825.0,,,,True,2,3230.0,,,,,,,,,,,,,,,,,,,,,,\n331,stanza,stanfordnlp/stanza,stanza,stanfordnlp/stanza,,nlp,,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56+00:00,2020-11-30 15:32:31+00:00,2020-08-13 23:07:54+00:00,615.0,61.0,342.0,4880.0,1514.0,2020-08-13 06:26:20+00:00,1.1.1,9.0,Official Stanford NLP Python Library for Many Human Languages.,2.0,,28.0,24,https://pypi.org/project/stanza,2020-08-13 06:08:07+00:00,2.0,17670.0,17670.0,https://anaconda.org/stanfordnlp/stanza,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n332,Edward,blei-lab/edward,edward,,,probabilistics,['tensorflow'],https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05+00:00,2019-10-22 20:30:48+00:00,2018-07-25 01:28:08+00:00,767.0,212.0,327.0,4576.0,1796.0,2018-01-22 06:03:37+00:00,1.3.5,28.0,\"A probabilistic programming language in TensorFlow. Deep generative models, variational inference.\",236.0,199.0,87.0,24,https://pypi.org/project/edward,2018-01-22 06:03:05+00:00,37.0,1052.0,1052.0,,,,False,3,9.0,,,,,,,,,,,,,,,,,,,,,,\n333,PyTorch3D,facebookresearch/pytorch3d,pytorch3d,pytorch3d/pytorch3d,,image,['pytorch'],https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,MIT,2019-10-25 02:23:45+00:00,2020-11-19 21:52:54+00:00,2020-11-19 21:52:46+00:00,442.0,47.0,362.0,4037.0,313.0,2020-11-12 10:28:29+00:00,0.3.0,5.0,PyTorch3D is FAIR's library of reusable components for deep learning with 3D data.,29.0,29.0,46.0,24,https://pypi.org/project/pytorch3d,2020-11-12 10:28:29+00:00,,7103.0,7103.0,https://anaconda.org/pytorch3d/pytorch3d,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n334,Lucid,tensorflow/lucid,lucid,,,interpretability,['tensorflow'],https://github.com/tensorflow/lucid,https://github.com/tensorflow/lucid,Apache-2.0,2018-01-25 17:41:44+00:00,2020-11-24 20:56:28+00:00,2020-11-24 20:56:27+00:00,539.0,67.0,93.0,3973.0,632.0,2019-01-17 19:46:43+00:00,0.3.9-alpha,16.0,A collection of infrastructure and tools for research in neural network interpretability.,327.0,321.0,33.0,24,https://pypi.org/project/lucid,2018-12-20 00:26:11+00:00,6.0,628.0,628.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n335,BigDL,intel-analytics/BigDL,bigdl,,,distributed-ml,,https://github.com/intel-analytics/BigDL,https://github.com/intel-analytics/BigDL,Apache-2.0,2016-08-29 07:59:50+00:00,2020-11-26 06:10:48+00:00,2020-11-23 09:42:27+00:00,897.0,178.0,724.0,3662.0,2650.0,2020-11-26 06:10:48+00:00,0.12.0,35.0,BigDL: Distributed Deep Learning Framework for Apache Spark.,22.0,19.0,71.0,24,https://pypi.org/project/bigdl,2020-11-26 06:10:48+00:00,3.0,936.0,936.0,,,,True,2,,,,,,,,,,,,,,,,,,com.intel.analytics.bigdl:bigdl-SPARK_2.4,https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4,2020-08-26 00:00:00+00:00,0.0,,\n336,TensorFlowOnSpark,yahoo/TensorFlowOnSpark,tensorflowonspark,,,distributed-ml,\"['tensorflow', 'spark']\",https://github.com/yahoo/TensorFlowOnSpark,https://github.com/yahoo/TensorFlowOnSpark,Apache-2.0,2017-01-20 18:15:57+00:00,2020-07-27 20:01:38+00:00,2020-07-27 19:59:42+00:00,897.0,4.0,336.0,3595.0,582.0,2020-03-16 18:59:39+00:00,2.2.1,28.0,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,43.0,38.0,33.0,24,https://pypi.org/project/tensorflowonspark,2020-03-16 18:26:55+00:00,5.0,26763.0,26763.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n337,line_profiler,rkern/line_profiler,line_profiler,,,system-monitoring,,https://github.com/rkern/line_profiler,https://github.com/rkern/line_profiler,BSD-3-Clause,2014-08-31 11:45:05+00:00,2019-12-11 01:23:33+00:00,2019-04-23 20:54:43+00:00,245.0,71.0,87.0,3491.0,102.0,2017-12-20 02:30:37+00:00,2.1.2,8.0,(OLD REPO) Line-by-line profiling for Python - Current repo -.,692.0,,14.0,24,https://pypi.org/project/line_profiler,2017-12-20 02:30:37+00:00,692.0,180164.0,180164.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n338,T5,google-research/text-to-text-transfer-transformer,t5,,,nlp,['tensorflow'],https://github.com/google-research/text-to-text-transfer-transformer,https://github.com/google-research/text-to-text-transfer-transformer,Apache-2.0,2019-10-17 21:45:14+00:00,2020-11-30 13:53:08+00:00,2020-11-23 17:58:50+00:00,391.0,32.0,260.0,2999.0,328.0,2020-10-26 14:53:41+00:00,0.7.1,23.0,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,16.0,16.0,28.0,24,https://pypi.org/project/t5,2020-10-26 14:53:41+00:00,,4240.0,4240.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n339,Camelot,atlanhq/camelot,camelot-py,,,data-loading,,https://github.com/atlanhq/camelot,https://github.com/atlanhq/camelot,MIT,2016-06-18 11:48:49+00:00,2020-07-27 12:28:15+00:00,2019-10-15 05:25:40+00:00,298.0,61.0,273.0,2940.0,446.0,2020-07-27 12:28:15+00:00,0.8.2,21.0,Camelot: PDF Table Extraction for Humans.,10.0,,23.0,24,https://pypi.org/project/camelot-py,2020-07-27 12:28:15+00:00,10.0,21515.0,21515.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n340,TensorForce,tensorforce/tensorforce,tensorforce,,,reinforcement-learning,['tensorflow'],https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22+00:00,2020-11-29 22:35:35+00:00,2020-11-29 22:35:30+00:00,472.0,10.0,532.0,2808.0,2007.0,2020-10-03 16:00:39+00:00,0.6.2,12.0,Tensorforce: a TensorFlow library for applied reinforcement learning.,23.0,,76.0,24,https://pypi.org/project/tensorforce,2019-09-07 13:56:18+00:00,23.0,1035.0,1035.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n341,xLearn,aksnzhy/xlearn,xlearn,,,ml-frameworks,,https://github.com/aksnzhy/xlearn,https://github.com/aksnzhy/xlearn,Apache-2.0,2017-06-10 08:09:31+00:00,2020-07-06 19:54:25+00:00,2020-03-03 10:12:35+00:00,479.0,174.0,107.0,2796.0,1340.0,2019-04-25 02:10:05+00:00,0.4.4,15.0,\"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..\",38.0,37.0,30.0,24,https://pypi.org/project/xlearn,2018-12-04 11:05:06+00:00,1.0,16784.0,16849.0,,,,True,3,2090.0,,,,,,,,,,,,,,,,,,,,,,\n342,AutoGluon,awslabs/autogluon,autogluon,,,hyperopt,['mxnet'],https://github.com/awslabs/autogluon,https://github.com/awslabs/autogluon,Apache-2.0,2019-07-29 18:51:24+00:00,2020-11-30 16:15:25+00:00,2020-11-25 22:53:21+00:00,360.0,143.0,208.0,2781.0,430.0,2020-10-21 22:19:32+00:00,0.0.14,250.0,\"AutoGluon: AutoML for Text, Image, and Tabular Data.\",39.0,39.0,50.0,24,https://pypi.org/project/autogluon,2020-11-30 09:12:26+00:00,,8017.0,8017.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n343,Stable Baselines,hill-a/stable-baselines,stable-baselines,,,reinforcement-learning,,https://github.com/hill-a/stable-baselines,https://github.com/hill-a/stable-baselines,MIT,2018-07-02 14:28:59+00:00,2020-10-20 23:54:37+00:00,2020-10-12 12:10:17+00:00,534.0,110.0,702.0,2667.0,834.0,2020-08-05 19:45:11+00:00,2.10.1,30.0,\"A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.\",25.0,,109.0,24,https://pypi.org/project/stable-baselines,2020-08-05 19:42:14+00:00,25.0,7924.0,7924.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n344,DeepChem,deepchem/deepchem,deepchem,,,others,['tensorflow'],https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28+00:00,2020-11-26 08:32:45+00:00,2020-11-25 22:47:00+00:00,862.0,314.0,831.0,2555.0,5895.0,2019-10-11 01:49:20+00:00,2.3.0,184.0,\"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.\",35.0,31.0,142.0,24,https://pypi.org/project/deepchem,2020-11-19 05:39:10+00:00,4.0,2092.0,2092.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n345,DoWhy,Microsoft/dowhy,dowhy,conda-forge/dowhy,,interpretability,,https://github.com/microsoft/dowhy,https://github.com/microsoft/dowhy,MIT,2018-05-31 13:07:04+00:00,2020-11-28 17:55:40+00:00,2020-11-28 17:55:34+00:00,336.0,11.0,69.0,2446.0,394.0,2020-11-21 16:15:48+00:00,0.5,4.0,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,16.0,16.0,36.0,24,https://pypi.org/project/dowhy,2020-11-21 17:15:52+00:00,,9919.0,9920.0,https://anaconda.org/conda-forge/dowhy,,,True,2,17.0,,,,,,,,,,,,,,,,,,,,,,\n346,scikit-plot,reiinakano/scikit-plot,scikit-plot,,,interpretability,['sklearn'],https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59+00:00,2020-07-22 16:19:25+00:00,2018-08-19 12:37:47+00:00,236.0,21.0,38.0,1967.0,130.0,2018-08-19 12:21:01+00:00,0.3.7,27.0,An intuitive library to add plotting functionality to scikit-learn objects.,641.0,614.0,13.0,24,https://pypi.org/project/scikit-plot,2018-08-19 12:18:46+00:00,27.0,59915.0,59915.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,\n347,TextDistance,life4/textdistance,textdistance,,,nlp,,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10+00:00,2020-04-13 10:34:33+00:00,2020-04-13 10:34:26+00:00,154.0,9.0,,1824.0,289.0,2020-04-13 10:17:59+00:00,.4.2.0,20.0,\"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..\",287.0,259.0,7.0,24,https://pypi.org/project/textdistance,2020-04-13 09:59:27+00:00,28.0,105436.0,105438.0,,,,True,3,93.0,,,,,,,,,,,,,,,,,,,,,,\n348,mongo-connector,yougov/mongo-connector,mongo-connector,,,db-clients,,https://github.com/yougov/mongo-connector,https://github.com/yougov/mongo-connector,Apache-2.0,2012-08-09 23:39:36+00:00,2020-08-03 08:07:40+00:00,2018-12-05 18:23:06+00:00,454.0,225.0,504.0,1747.0,1112.0,2018-12-05 19:18:21+00:00,3.1.1,51.0,MongoDB data stream pipeline tools by YouGov (adopted from MongoDB).,118.0,89.0,62.0,24,https://pypi.org/project/mongo-connector,2018-12-05 19:18:21+00:00,29.0,3001.0,3001.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n349,pgmpy,pgmpy/pgmpy,pgmpy,,,probabilistics,,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58+00:00,2020-11-28 13:45:10+00:00,2020-11-11 10:13:06+00:00,537.0,225.0,484.0,1642.0,6.0,2020-09-30 14:12:15+00:00,0.1.12,10.0,Python Library for learning (Structure and Parameter) and inference (Statistical and Causal) in Bayesian Networks.,169.0,163.0,86.0,24,https://pypi.org/project/pgmpy,2020-06-30 12:59:43+00:00,6.0,16949.0,16954.0,,,,True,3,27.0,,,,,,,,,,,,,,,,,,,,,,\n350,HyperTools,ContextLab/hypertools,hypertools,,,data-viz,,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25+00:00,2020-10-29 02:47:18+00:00,2020-10-02 21:09:56+00:00,151.0,69.0,120.0,1596.0,1565.0,2020-10-02 21:38:16+00:00,0.6.3,19.0,A Python toolbox for gaining geometric insights into high-dimensional data.,98.0,89.0,20.0,24,https://pypi.org/project/hypertools,2020-10-02 21:41:53+00:00,9.0,1047.0,1047.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n351,Pillow-SIMD,uploadcare/pillow-simd,pillow-simd,,,image,,https://github.com/uploadcare/pillow-simd,https://github.com/uploadcare/pillow-simd,PIL,2014-11-12 15:33:02+00:00,2020-11-03 07:45:01+00:00,2020-06-02 14:50:14+00:00,66.0,11.0,51.0,1499.0,,2020-01-02 05:19:26+00:00,7.0.0,35.0,The friendly PIL fork.,389.0,339.0,310.0,24,https://pypi.org/project/pillow-simd,2020-01-26 14:30:27+00:00,50.0,117556.0,117556.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n352,Pythran,serge-sans-paille/pythran,pythran,conda-forge/pythran,,others,,https://github.com/serge-sans-paille/pythran,https://github.com/serge-sans-paille/pythran,BSD-3-Clause,2012-05-29 08:02:14+00:00,2020-11-27 18:07:39+00:00,2020-11-26 22:25:22+00:00,129.0,89.0,529.0,1476.0,3282.0,2020-08-01 17:28:57+00:00,0.9.7,42.0,Ahead of Time compiler for numeric kernels.,59.0,46.0,45.0,24,https://pypi.org/project/pythran,2020-09-23 05:21:14+00:00,13.0,802.0,802.0,https://anaconda.org/conda-forge/pythran,,,True,2,,,,,,,,,,,,,,,,,,,,,,pythran,python-pythran\n353,Elephas,maxpumperla/elephas,elephas,,,distributed-ml,\"['keras', 'spark']\",https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19+00:00,2020-10-02 08:09:20+00:00,2020-10-02 08:09:15+00:00,277.0,51.0,80.0,1432.0,336.0,2019-03-20 17:02:37+00:00,0.4.3,9.0,Distributed Deep learning with Keras & Spark.,34.0,31.0,25.0,24,https://pypi.org/project/elephas,2020-02-10 13:38:21+00:00,3.0,11668.0,11668.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n354,TorchServe,pytorch/serve,torchserve,torchserve,,model-serialisation,['pytorch'],https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43+00:00,2020-11-30 17:00:38+00:00,2020-11-26 00:02:15+00:00,198.0,128.0,327.0,1393.0,982.0,2020-08-11 21:09:17+00:00,0.2.0,4.0,Model Serving on PyTorch.,20.0,20.0,59.0,24,https://pypi.org/project/torchserve,2020-08-11 21:09:17+00:00,,2044.0,3114.0,,,,True,2,117.0,,,pytorch/torchserve,https://hub.docker.com/r/pytorch/torchserve,2020-08-11 21:27:29.340543+00:00,3.0,13706.0,,,,,,,,,,,,,,,\n355,PyTextRank,DerwenAI/pytextrank,pytextrank,,,nlp,,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12+00:00,2020-11-18 14:09:32+00:00,2020-09-21 19:22:46+00:00,280.0,14.0,37.0,1356.0,147.0,2020-09-15 16:51:59+00:00,2.0.3,10.0,Python implementation of TextRank for phrase extraction and summarization of text documents.,119.0,113.0,10.0,24,https://pypi.org/project/pytextrank,2020-09-15 16:51:59+00:00,6.0,13334.0,13334.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n356,IB-insync,erdewit/ib_insync,ib_insync,,,financial-data,,https://github.com/erdewit/ib_insync,https://github.com/erdewit/ib_insync,BSD-2-Clause,2017-07-12 12:09:24+00:00,2020-11-20 19:08:55+00:00,2020-11-11 21:09:44+00:00,369.0,4.0,267.0,1117.0,539.0,2020-11-03 13:37:57+00:00,0.9.64,89.0,Python sync/async framework for Interactive Brokers API.,12.0,,24.0,24,https://pypi.org/project/ib_insync,2020-11-03 13:37:57+00:00,12.0,3061.0,3061.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n357,Optimus,ironmussa/Optimus,optimuspyspark,,,data-pipelines,['spark'],https://github.com/ironmussa/Optimus,https://github.com/ironmussa/Optimus,Apache-2.0,2017-07-13 02:31:18+00:00,2020-11-30 06:58:27+00:00,2020-11-19 14:04:43+00:00,187.0,139.0,165.0,958.0,3520.0,2020-07-19 03:05:40+00:00,2.2.32,85.0,\"Agile Data Preparation Workflows madeeasy with dask, cudf, dask_cudf and pyspark.\",10.0,10.0,21.0,24,https://pypi.org/project/optimuspyspark,2019-05-30 02:22:54+00:00,,4632.0,4632.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n358,spacy-transformers,explosion/spacy-transformers,spacy-transformers,,,nlp,['spacy'],https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34+00:00,2020-11-23 17:33:52+00:00,2020-10-27 21:21:26+00:00,97.0,48.0,128.0,843.0,1227.0,2020-06-29 12:10:14+00:00,0.6.2,33.0,\"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.\",65.0,62.0,14.0,24,https://pypi.org/project/spacy-transformers,2020-10-14 12:35:57+00:00,3.0,11324.0,11324.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n359,PySAL,pysal/pysal,pysal,,,geospatial-data,,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42+00:00,2020-08-01 00:57:58+00:00,2020-08-01 00:57:56+00:00,241.0,58.0,568.0,797.0,4067.0,2020-07-30 03:12:31+00:00,2.3.0,24.0,PySAL: Python Spatial Analysis Library Meta-Package.,18.0,,69.0,24,https://pypi.org/project/pysal,2020-07-30 03:12:31+00:00,18.0,9554.0,9554.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n360,kmodes,nicodv/kmodes,kmodes,,,others,,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40+00:00,2020-11-04 05:52:59+00:00,2020-11-04 05:52:58+00:00,333.0,19.0,106.0,778.0,448.0,2020-02-25 21:38:29+00:00,0.10.2,12.0,\"Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data.\",374.0,361.0,16.0,24,https://pypi.org/project/kmodes,2020-02-25 21:30:28+00:00,13.0,57853.0,57853.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n361,ffn,pmorissette/ffn,ffn,,,financial-data,,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09+00:00,2020-11-16 23:41:58+00:00,2020-11-16 23:41:57+00:00,166.0,19.0,52.0,702.0,283.0,2018-05-28 14:01:56+00:00,0.3.4,25.0,ffn - a financial function library for Python.,107.0,91.0,22.0,24,https://pypi.org/project/ffn,2018-05-28 14:01:56+00:00,16.0,14775.0,14775.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n362,GPyOpt,SheffieldML/GPyOpt,gpyopt,,,hyperopt,,https://github.com/SheffieldML/GPyOpt,https://github.com/SheffieldML/GPyOpt,BSD-3-Clause,2014-08-13 09:58:25+00:00,2020-11-17 10:32:02+00:00,2020-11-05 15:16:04+00:00,212.0,100.0,186.0,689.0,514.0,2020-03-19 21:21:18+00:00,1.2.6,11.0,Gaussian Process Optimization using GPy.,194.0,158.0,49.0,24,https://pypi.org/project/gpyopt,2020-03-19 11:37:45+00:00,36.0,6015.0,6015.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n363,Hail,hail-is/hail,hail,,,medical-data,['spark'],https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42+00:00,2020-11-30 17:05:40+00:00,2020-11-30 15:26:14+00:00,177.0,323.0,1932.0,684.0,7617.0,2020-11-16 17:29:53+00:00,0.2.60,80.0,Scalable genomic data analysis.,24.0,24.0,66.0,24,https://pypi.org/project/hail,2020-11-16 17:29:58+00:00,,1171.0,1171.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n364,pythreejs,jupyter-widgets/pythreejs,pythreejs,,,data-viz,['jupyter'],https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,BSD-3-Clause,2013-12-23 17:02:11+00:00,2020-10-09 09:41:24+00:00,2020-10-09 09:41:09+00:00,156.0,56.0,136.0,683.0,1594.0,2020-03-19 11:32:37+00:00,2.2.1,42.0,A Jupyter - Three.js bridge.,36.0,15.0,24.0,24,https://pypi.org/project/pythreejs,2020-10-09 09:40:47+00:00,13.0,10197.0,15251.0,,,,True,3,,,,,,,,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,2020-03-19 11:22:13.041000+00:00,8.0,5054.0,,,,,,,,,,\n365,PennyLane,PennyLaneAI/PennyLane,pennylane,,,others,,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42+00:00,2020-11-30 14:52:21+00:00,2020-11-27 18:46:31+00:00,189.0,50.0,205.0,643.0,1713.0,2020-11-27 18:18:53+00:00,0.13.0,16.0,PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum..,20.0,,34.0,24,https://pypi.org/project/pennylane,2020-11-27 18:07:34+00:00,20.0,2548.0,2550.0,,,,True,2,49.0,,,,,,,,,,,,,,,,,,,,,,\n366,pyjanitor,ericmjl/pyjanitor,pyjanitor,,,others,,https://github.com/ericmjl/pyjanitor,https://github.com/ericmjl/pyjanitor,MIT,2018-03-04 22:43:33+00:00,2020-11-29 01:44:37+00:00,2020-11-23 02:36:44+00:00,119.0,87.0,277.0,595.0,1162.0,2020-10-03 12:24:35+00:00,0.20.10,46.0,Clean APIs for data cleaning. Python implementation of R package Janitor.,72.0,70.0,87.0,24,https://pypi.org/project/pyjanitor,2020-10-03 12:24:35+00:00,2.0,1877.0,1877.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n367,neo4j-driver,neo4j/neo4j-python-driver,neo4j-driver,,,db-clients,,https://github.com/neo4j/neo4j-python-driver,https://github.com/neo4j/neo4j-python-driver,Apache-2.0,2015-05-05 13:08:20+00:00,2020-11-27 13:13:38+00:00,2020-11-26 14:40:57+00:00,131.0,2.0,164.0,581.0,,2020-11-17 09:58:48+00:00,4.2.0,79.0,Neo4j Bolt driver for Python.,382.0,,26.0,24,https://pypi.org/project/neo4j-driver,2020-11-17 09:58:48+00:00,382.0,60138.0,60138.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n368,detectron2,facebookresearch/detectron2,,,,image,['pytorch'],https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20+00:00,2020-11-28 14:27:13+00:00,2020-11-25 03:17:36+00:00,3283.0,87.0,1955.0,13776.0,829.0,2020-11-06 03:20:56+00:00,0.3,7.0,Detectron2 is FAIR's next-generation platform for object detection and segmentation.,114.0,114.0,136.0,23,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n369,Ciphey,Ciphey/Ciphey,ciphey,,,nlp,,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39+00:00,2020-11-28 14:32:25+00:00,2020-11-27 23:09:50+00:00,314.0,45.0,166.0,5698.0,1701.0,2020-10-24 19:53:16+00:00,5.10.0,42.0,\"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.\",,,39.0,23,https://pypi.org/project/ciphey,2020-10-24 19:51:32+00:00,,1066.0,1485.0,,,,True,3,,,,remnux/ciphey,https://hub.docker.com/r/remnux/ciphey,2020-10-25 02:05:07.497361+00:00,,6717.0,,,,,,,,,,,,,,,\n370,flashtext,vi3k6i5/flashtext,flashtext,,,nlp,,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01+00:00,2020-06-05 00:37:46+00:00,2020-05-03 07:13:22+00:00,521.0,48.0,48.0,4566.0,108.0,,,18.0,Extract Keywords from sentence or Replace keywords in sentences.,338.0,306.0,8.0,23,https://pypi.org/project/flashtext,2018-02-16 05:24:17+00:00,32.0,291534.0,291534.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n371,torchdiffeq,rtqichen/torchdiffeq,torchdiffeq,,,pytorch-utils,['pytorch'],https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25+00:00,2020-11-26 13:20:56+00:00,2020-10-30 23:58:55+00:00,547.0,18.0,92.0,3236.0,132.0,2020-09-16 23:32:05+00:00,0.1.1,3.0,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,49.0,49.0,19.0,23,https://pypi.org/project/torchdiffeq,2020-09-16 23:32:05+00:00,,3638.0,3638.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n372,AdaNet,tensorflow/adanet,adanet,,,hyperopt,['tensorflow'],https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24+00:00,2020-07-09 21:03:28+00:00,2020-07-09 20:51:04+00:00,484.0,63.0,46.0,3201.0,439.0,2020-07-09 20:53:28+00:00,0.9.0,13.0,Fast and flexible AutoML with learning guarantees.,34.0,32.0,26.0,23,https://pypi.org/project/adanet,2020-07-09 21:03:28+00:00,2.0,1169.0,1169.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n373,Great Expectations,great-expectations/great_expectations,great_expectations,,,data-pipelines,,https://github.com/great-expectations/great_expectations,https://github.com/great-expectations/great_expectations,Apache-2.0,2017-09-11 00:18:46+00:00,2020-11-30 17:16:22+00:00,2020-11-25 19:27:29+00:00,349.0,147.0,565.0,3148.0,,2020-11-25 20:31:57+00:00,0.12.10,90.0,Always know what to expect from your data.,6.0,,130.0,23,https://pypi.org/project/great_expectations,2020-11-25 20:28:39+00:00,6.0,259479.0,259479.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n374,PyAlgoTrade,gbeced/pyalgotrade,pyalgotrade,,,financial-data,,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54+00:00,2020-09-16 00:41:56+00:00,2018-08-21 02:42:52+00:00,1139.0,38.0,80.0,3060.0,1156.0,,,8.0,Python Algorithmic Trading Library.,84.0,63.0,11.0,23,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25+00:00,21.0,557.0,557.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n375,VisualDL,PaddlePaddle/VisualDL,visualdl,,,ml-experiments,['paddle'],https://github.com/PaddlePaddle/VisualDL,https://github.com/PaddlePaddle/VisualDL,Apache-2.0,2017-12-20 12:34:31+00:00,2020-11-30 07:11:07+00:00,2020-11-30 07:10:58+00:00,424.0,19.0,305.0,2993.0,,2020-11-26 10:19:27+00:00,2.0.5,29.0,Deep Learning Visualization Toolkit.,107.0,102.0,24.0,23,https://pypi.org/project/visualdl,2020-11-26 10:16:06+00:00,5.0,3180.0,3188.0,,,,True,3,44.0,,,,,,,,,,,,,,,,,,,,,,\n376,keras-vis,raghakot/keras-vis,keras-vis,,,interpretability,,https://github.com/raghakot/keras-vis,https://github.com/raghakot/keras-vis,MIT,2016-11-11 23:27:34+00:00,2020-04-20 01:03:13+00:00,2020-04-20 01:03:12+00:00,559.0,110.0,99.0,2749.0,195.0,2017-07-06 04:55:04+00:00,0.4.1,11.0,Neural network visualization toolkit for keras.,590.0,562.0,10.0,23,https://pypi.org/project/keras-vis,2017-07-06 04:55:04+00:00,28.0,2905.0,2905.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n377,PML,KevinMusgrave/pytorch-metric-learning,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,pytorch-utils,['pytorch'],https://github.com/KevinMusgrave/pytorch-metric-learning,https://github.com/KevinMusgrave/pytorch-metric-learning,MIT,2019-10-23 17:20:35+00:00,2020-11-22 02:23:19+00:00,2020-11-22 02:23:03+00:00,323.0,31.0,159.0,2426.0,505.0,2020-11-06 22:51:18+00:00,0.9.94,133.0,\"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.\",36.0,36.0,11.0,23,https://pypi.org/project/pytorch-metric-learning,2020-11-22 02:22:11+00:00,0.0,4816.0,4816.0,https://anaconda.org/metric-learning/pytorch-metric-learning,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n378,gallery-dl,mikf/gallery-dl,gallery-dl,,,web-scraping,,https://github.com/mikf/gallery-dl,https://github.com/mikf/gallery-dl,GPL-2.0,2014-10-12 19:38:05+00:00,2020-11-30 00:13:57+00:00,2020-11-30 00:10:45+00:00,201.0,196.0,858.0,2286.0,2725.0,2020-11-27 17:38:00+00:00,1.15.4,86.0,Command-line program to download image-galleries and -collections from several image hosting sites.,4.0,,27.0,23,https://pypi.org/project/gallery-dl,2020-11-27 17:38:00+00:00,4.0,3696.0,4897.0,,,,False,3,72075.0,,,,,,,,,,,,,,,,,,,,,,\n379,Arctic,man-group/arctic,arctic,,,data-containers,,https://github.com/man-group/arctic,https://github.com/man-group/arctic,LGPL-2.1,2015-05-29 13:37:30+00:00,2020-10-23 02:15:15+00:00,2020-09-04 13:07:53+00:00,417.0,79.0,420.0,2090.0,1061.0,2019-12-06 16:10:54+00:00,1.79.3,82.0,Arctic is a high performance datastore for numeric data.,143.0,101.0,69.0,23,https://pypi.org/project/arctic,2019-12-06 16:10:54+00:00,42.0,2154.0,2155.0,,,,False,3,80.0,,,,,,,,,,,,,,,,,,,,,,\n380,ART,Trusted-AI/adversarial-robustness-toolbox,adversarial-robustness-toolbox,,,adversarial,,https://github.com/Trusted-AI/adversarial-robustness-toolbox,https://github.com/Trusted-AI/adversarial-robustness-toolbox,MIT,2018-03-15 14:40:43+00:00,2020-11-30 17:44:50+00:00,2020-11-21 01:08:34+00:00,543.0,90.0,276.0,1857.0,,2020-11-21 01:23:37+00:00,1.4.3,25.0,\"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..\",88.0,88.0,55.0,23,https://pypi.org/project/adversarial-robustness-toolbox,2020-11-21 01:31:36+00:00,,2885.0,2885.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n381,einops,arogozhnikov/einops,einops,,,ml-frameworks,,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08+00:00,2020-11-21 03:15:40+00:00,2020-11-14 04:18:36+00:00,59.0,22.0,36.0,1855.0,290.0,2020-09-08 08:33:29+00:00,0.3,3.0,\"Deep learning operations reinvented (for pytorch, tensorflow, chainer, gluon and others).\",125.0,115.0,10.0,23,https://pypi.org/project/einops,2020-09-08 08:21:26+00:00,10.0,9361.0,9361.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n382,SRU,asappresearch/sru,sru,,,pytorch-utils,['pytorch'],https://github.com/asappresearch/sru,https://github.com/asappresearch/sru,MIT,2017-08-28 20:37:41+00:00,2020-11-26 02:04:47+00:00,2020-10-12 19:25:14+00:00,278.0,47.0,53.0,1848.0,363.0,2020-10-12 15:29:33+00:00,2.5.1,20.0,Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755).,15.0,14.0,20.0,23,https://pypi.org/project/sru,2020-10-12 15:29:33+00:00,1.0,3375.0,3375.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n383,pytorch-nlp,PetrochukM/PyTorch-NLP,pytorch-nlp,,,nlp,['pytorch'],https://github.com/PetrochukM/PyTorch-NLP,https://github.com/PetrochukM/PyTorch-NLP,BSD-3-Clause,2018-02-25 05:00:36+00:00,2020-10-11 02:41:30+00:00,2020-10-11 02:41:24+00:00,216.0,20.0,49.0,1824.0,442.0,2019-11-04 05:16:00+00:00,0.5.0,19.0,Basic Utilities for PyTorch Natural Language Processing (NLP).,157.0,148.0,17.0,23,https://pypi.org/project/pytorch-nlp,2019-11-04 04:35:18+00:00,9.0,3917.0,3917.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n384,Acme,deepmind/acme,dm-acme,,,reinforcement-learning,['tensorflow'],https://github.com/deepmind/acme,https://github.com/deepmind/acme,Apache-2.0,2020-05-01 09:18:12+00:00,2020-11-27 17:16:00+00:00,2020-11-27 17:15:30+00:00,169.0,37.0,43.0,1776.0,301.0,2020-10-23 15:59:12+00:00,0.2.0,8.0,A library of reinforcement learning components and agents.,14.0,14.0,29.0,23,https://pypi.org/project/dm-acme,2020-07-24 13:03:30+00:00,,515.0,515.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n385,Essentia,MTG/essentia,essentia,,,audio,,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47+00:00,2020-11-27 18:01:51+00:00,2020-11-27 18:00:43+00:00,386.0,277.0,554.0,1663.0,2675.0,2015-03-31 16:33:30+00:00,2.0,8.0,\"C++ library for audio and music analysis, description and synthesis, including Python bindings.\",142.0,137.0,67.0,23,https://pypi.org/project/essentia,2020-04-22 16:31:02+00:00,5.0,1269.0,1269.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n386,DDSP,magenta/ddsp,ddsp,,,audio,['tensorflow'],https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27+00:00,2020-11-30 01:25:18+00:00,2020-11-30 01:25:09+00:00,150.0,17.0,79.0,1642.0,324.0,2020-11-11 21:25:25+00:00,0.13.0,25.0,DDSP: Differentiable Digital Signal Processing.,5.0,5.0,21.0,23,https://pypi.org/project/ddsp,2020-08-21 20:19:47+00:00,,2038.0,2038.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n387,GluonTS,awslabs/gluon-ts,gluonts,,,time-series-data,['mxnet'],https://github.com/awslabs/gluon-ts,https://github.com/awslabs/gluon-ts,Apache-2.0,2019-05-15 17:17:29+00:00,2020-11-30 16:44:38+00:00,2020-11-30 10:12:28+00:00,339.0,180.0,326.0,1577.0,595.0,2020-11-24 11:49:04+00:00,0.6.2,25.0,Probabilistic time series modeling in Python.,,,62.0,23,https://pypi.org/project/gluonts,2020-11-24 11:50:25+00:00,,21079.0,21079.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n388,bonobo,python-bonobo/bonobo,bonobo,,http://docs.bonobo-project.org/en/master/,data-pipelines,,https://github.com/python-bonobo/bonobo,https://github.com/python-bonobo/bonobo,Apache-2.0,2016-12-09 04:03:23+00:00,2020-11-18 21:15:09+00:00,2019-07-20 13:19:49+00:00,111.0,62.0,106.0,1345.0,978.0,2019-05-16 13:19:48+00:00,0.6.4,38.0,Extract Transform Load for Python 3.5+.,123.0,99.0,35.0,23,https://pypi.org/project/bonobo,2019-07-20 13:33:19+00:00,24.0,2849.0,2849.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n389,Talos,autonomio/talos,talos,,,hyperopt,['keras'],https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41+00:00,2020-11-21 16:37:14+00:00,2020-11-21 16:27:04+00:00,220.0,41.0,339.0,1337.0,538.0,2020-11-09 16:48:30+00:00,1.0,13.0,\"Hyperparameter Optimization for TensorFlow, Keras and PyTorch.\",105.0,99.0,19.0,23,https://pypi.org/project/talos,2020-11-09 16:46:45+00:00,6.0,1502.0,1502.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n390,Pandaral·lel,nalepae/pandarallel,pandarallel,,,data-containers,\"['pandas', 'jupyter']\",https://github.com/nalepae/pandarallel,https://github.com/nalepae/pandarallel,BSD-3-Clause,2019-03-10 11:58:29+00:00,2020-11-17 17:27:58+00:00,2020-11-17 17:27:57+00:00,85.0,53.0,52.0,1268.0,106.0,2020-08-25 16:33:28+00:00,1.5.1,28.0,A simple and efficient tool to parallelize Pandas operations on all availableCPUs.,118.0,118.0,11.0,23,https://pypi.org/project/pandarallel,2020-08-25 16:33:28+00:00,,48833.0,48833.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n391,TNT,pytorch/tnt,torchnet,,,ml-experiments,['pytorch'],https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58+00:00,2020-01-15 16:00:31+00:00,2020-01-15 16:00:30+00:00,178.0,30.0,34.0,1248.0,155.0,2019-11-15 12:57:59+00:00,0.0.5.1,3.0,\"Simple tools for logging and visualizing, loading and training.\",527.0,477.0,34.0,23,https://pypi.org/project/torchnet,2018-07-29 23:16:03+00:00,50.0,6163.0,6163.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n392,MLBox,AxeldeRomblay/MLBox,mlbox,,,hyperopt,,https://github.com/AxeldeRomblay/MLBox,https://github.com/AxeldeRomblay/MLBox,BSD-1-Clause,2017-06-01 16:59:24+00:00,2020-11-24 17:57:08+00:00,2020-08-25 09:26:27+00:00,238.0,9.0,70.0,1148.0,1121.0,2020-08-25 09:32:37+00:00,0.8.5,21.0,MLBox is a powerful Automated Machine Learning python library.,17.0,17.0,9.0,23,https://pypi.org/project/mlbox,2020-08-25 09:32:37+00:00,,3153.0,3153.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n393,garage,rlworkgroup/garage,garage,,,reinforcement-learning,['tensorflow'],https://github.com/rlworkgroup/garage,https://github.com/rlworkgroup/garage,MIT,2018-06-10 21:31:23+00:00,2020-11-30 05:20:44+00:00,2020-11-20 19:21:16+00:00,179.0,182.0,758.0,971.0,1174.0,2020-09-17 07:34:11+00:00,2020.6.3,21.0,A toolkit for reproducible reinforcement learning research.,12.0,12.0,73.0,23,https://pypi.org/project/garage,2020-10-02 17:16:03+00:00,,222.0,222.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n394,modAL,modAL-python/modAL,modAL,,,others,['sklearn'],https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15+00:00,2020-11-28 12:04:59+00:00,2020-11-01 08:39:01+00:00,157.0,38.0,48.0,948.0,643.0,2020-08-21 06:19:25+00:00,0.4.0,11.0,A modular active learning framework for Python.,44.0,40.0,13.0,23,https://pypi.org/project/modAL,2020-11-01 08:48:50+00:00,4.0,2448.0,2448.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n395,ChainerRL,chainer/chainerrl,chainerrl,,,reinforcement-learning,,https://github.com/chainer/chainerrl,https://github.com/chainer/chainerrl,MIT,2017-01-30 04:58:15+00:00,2020-11-26 04:11:32+00:00,2020-11-25 08:26:45+00:00,204.0,75.0,144.0,911.0,3451.0,2020-02-14 05:35:56+00:00,0.8.0,10.0,ChainerRL is a deep reinforcement learning library built on top of Chainer.,100.0,86.0,29.0,23,https://pypi.org/project/chainerrl,2020-02-14 05:35:56+00:00,14.0,781.0,781.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n396,Streamz,python-streamz/streamz,streamz,,,time-series-data,,https://github.com/python-streamz/streamz,https://github.com/python-streamz/streamz,BSD-3-Clause,2017-04-04 21:45:49+00:00,2020-11-30 14:45:03+00:00,2020-11-30 14:45:02+00:00,109.0,89.0,120.0,881.0,688.0,2020-11-02 14:53:29+00:00,0.6.1,14.0,Real-time stream processing for python.,187.0,171.0,36.0,23,https://pypi.org/project/streamz,2020-11-02 14:53:29+00:00,16.0,4249.0,4249.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n397,keract,philipperemy/keract,keract,,,interpretability,['keras'],https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57+00:00,2020-11-12 02:21:05+00:00,2020-11-12 02:21:04+00:00,171.0,2.0,70.0,832.0,324.0,2020-09-09 02:29:02+00:00,4.3.3,35.0,Activation Maps (Layers Outputs) and Gradients in Keras.,65.0,60.0,15.0,23,https://pypi.org/project/keract,2020-11-06 08:09:00+00:00,5.0,1504.0,1504.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n398,SciSpacy,allenai/scispacy,scispacy,,,nlp,,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52+00:00,2020-11-23 14:08:16+00:00,2020-11-10 19:32:41+00:00,112.0,17.0,121.0,747.0,786.0,2020-10-16 17:13:40+00:00,0.3.0,9.0,A full spaCy pipeline and models for scientific/biomedical documents.,187.0,175.0,14.0,23,https://pypi.org/project/scispacy,2020-10-16 17:13:40+00:00,12.0,14516.0,14516.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n399,PySwarms,ljvmiranda921/pyswarms,pyswarms,,,others,,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45+00:00,2020-11-17 09:42:46+00:00,2020-11-17 09:42:41+00:00,228.0,12.0,150.0,688.0,403.0,2020-11-14 05:18:38+00:00,.1.2.0,19.0,A research toolkit for particle swarm optimization in Python.,81.0,81.0,42.0,23,https://pypi.org/project/pyswarms,2020-11-14 05:17:27+00:00,,5221.0,5221.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n400,GPUtil,anderskm/gputil,gputil,,,system-monitoring,,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43+00:00,2020-10-01 05:42:49+00:00,2019-08-16 09:00:15+00:00,77.0,11.0,13.0,644.0,140.0,2018-12-18 09:12:13+00:00,1.4.0,8.0,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,967.0,865.0,13.0,23,https://pypi.org/project/gputil,2018-12-18 09:12:13+00:00,102.0,57597.0,57597.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n401,Singer,singer-io/getting-started,singer-python,,,data-loading,,https://github.com/singer-io/getting-started,https://github.com/singer-io/getting-started,AGPL-3.0,2016-10-31 16:53:56+00:00,2020-11-24 21:06:26+00:00,2020-11-23 21:10:25+00:00,82.0,20.0,16.0,643.0,159.0,2019-11-04 21:43:38+00:00,5.9.1,100.0,\"Standard for moving data between databases, web APIs, files, queues, and just about anything else you can think of.\",300.0,,26.0,23,https://pypi.org/project/singer-python,2020-10-27 17:49:47+00:00,300.0,52020.0,52020.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n402,Node2Vec,eliorc/node2vec,node2vec,,,graph,,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06+00:00,2020-11-28 08:59:52+00:00,2020-11-28 08:54:36+00:00,159.0,1.0,46.0,590.0,44.0,2020-11-28 08:59:52+00:00,0.4.0,12.0,Implementation of the node2vec algorithm.,98.0,93.0,6.0,23,https://pypi.org/project/node2vec,2020-11-28 08:57:22+00:00,5.0,11097.0,11097.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n403,pyahocorasick,WojciechMula/pyahocorasick,pyahocorasick,,,nlp,,https://github.com/WojciechMula/pyahocorasick,https://github.com/WojciechMula/pyahocorasick,BSD-3-Clause,2013-05-30 19:55:46+00:00,2020-04-06 18:14:15+00:00,2020-04-06 18:13:55+00:00,83.0,29.0,63.0,554.0,392.0,2018-12-20 19:06:01+00:00,1.4.0,22.0,Python module (C extension and plain python) implementing Aho-Corasick algorithm.,492.0,428.0,19.0,23,https://pypi.org/project/pyahocorasick,2019-01-14 16:20:13+00:00,64.0,159126.0,159126.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n404,Sentinelsat,sentinelsat/sentinelsat,sentinelsat,,,geospatial-data,,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26+00:00,2020-11-10 08:08:10+00:00,2020-11-10 08:08:09+00:00,162.0,29.0,204.0,516.0,769.0,2020-06-12 07:15:51+00:00,0.14,36.0,Search and download Copernicus Sentinel satellite images.,168.0,146.0,33.0,23,https://pypi.org/project/sentinelsat,2020-06-12 07:08:37+00:00,22.0,10290.0,10293.0,,,,False,3,166.0,,,,,,,,,,,,,,,,,,,,,,\n405,micawber,coleifer/micawber,micawber,,,web-scraping,,https://github.com/coleifer/micawber,https://github.com/coleifer/micawber,MIT,2012-03-27 21:42:46+00:00,2020-11-05 00:48:10+00:00,2020-11-05 00:47:52+00:00,74.0,1.0,52.0,510.0,187.0,2018-09-23 17:09:40+00:00,0.5.0,20.0,a small library for extracting rich content from urls.,837.0,473.0,25.0,23,https://pypi.org/project/micawber,2019-06-30 16:20:04+00:00,364.0,3315.0,3315.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n406,GeoViews,holoviz/geoviews,geoviews,conda-forge/geoviews,,geospatial-data,,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01+00:00,2020-11-13 20:59:34+00:00,2020-09-21 16:31:16+00:00,59.0,77.0,169.0,315.0,635.0,2020-09-23 18:59:07+00:00,1.8.0,21.0,\"Simple, concise geographical visualization in Python.\",179.0,169.0,21.0,23,https://pypi.org/project/geoviews,2020-03-30 19:17:21+00:00,10.0,2767.0,2767.0,https://anaconda.org/conda-forge/geoviews,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n407,pyhdb,SAP/pyhdb,pyhdb,,,db-clients,,https://github.com/SAP/PyHDB,https://github.com/SAP/PyHDB,Apache-2.0,2014-12-12 04:02:40+00:00,2020-10-20 15:21:20+00:00,2018-05-24 13:45:41+00:00,132.0,50.0,51.0,283.0,155.0,2018-02-16 12:44:36+00:00,0.3.4,8.0,SAP HANA Connector in pure Python.,130.0,100.0,10.0,23,https://pypi.org/project/pyhdb,2018-02-16 12:37:13+00:00,30.0,72230.0,72230.0,,,,False,3,56.0,,,,,,,,,,,,,,,,,,,,,,\n408,pysparkling,svenkreiss/pysparkling,pysparkling,,,data-pipelines,,https://github.com/svenkreiss/pysparkling,https://github.com/svenkreiss/pysparkling,MIT,2015-05-09 19:23:20+00:00,2020-11-02 11:37:56+00:00,2020-11-02 11:37:55+00:00,43.0,2.0,20.0,233.0,1506.0,2019-07-13 07:23:04+00:00,0.6.0,67.0,A pure Python implementation of Apache Spark's RDD and DStream interfaces.,58.0,51.0,9.0,23,https://pypi.org/project/pysparkling,2019-07-13 07:23:04+00:00,7.0,8196.0,8196.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n409,pySBD,nipunsadvilkar/pySBD,pysbd,,,nlp,,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20+00:00,2020-11-30 11:17:17+00:00,2020-11-30 11:17:15+00:00,25.0,3.0,42.0,230.0,266.0,2020-10-08 11:41:09+00:00,0.3.3,14.0,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,88.0,86.0,4.0,23,https://pypi.org/project/pysbd,2020-10-08 11:33:56+00:00,2.0,17987.0,17987.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n410,EarthPy,earthlab/earthpy,earthpy,conda-forge/earthpy,,geospatial-data,,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42+00:00,2020-11-26 03:22:53+00:00,2020-10-19 22:52:20+00:00,89.0,22.0,194.0,208.0,1062.0,2020-06-18 23:58:08+00:00,0.9.2,22.0,A package built to support working with spatial data using open source python.,68.0,65.0,37.0,23,https://pypi.org/project/earthpy,2020-06-18 23:58:08+00:00,3.0,2217.0,2217.0,https://anaconda.org/conda-forge/earthpy,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n411,Orion,Epistimio/orion,orion,,,hyperopt,,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21+00:00,2020-11-30 16:45:03+00:00,2020-11-28 04:05:14+00:00,35.0,12.0,87.0,178.0,2392.0,2020-11-09 23:52:01+00:00,0.1.9,11.0,Asynchronous Distributed Hyperparameter Optimization.,46.0,38.0,18.0,23,https://pypi.org/project/orion,2020-11-09 23:52:01+00:00,8.0,1141.0,1141.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n412,pyexcel-xlsx,pyexcel/pyexcel-xlsx,pyexcel-xlsx,conda-forge/pyexcel-xlsx,,data-loading,,https://github.com/pyexcel/pyexcel-xlsx,https://github.com/pyexcel/pyexcel-xlsx,BSD-3-Clause,2014-12-02 00:03:24+00:00,2020-11-28 22:30:58+00:00,2020-11-28 22:30:53+00:00,16.0,12.0,20.0,83.0,267.0,2020-10-10 13:13:09+00:00,0.6.0,30.0,\"A wrapper library to read, manipulate and write data in xlsx and xlsm format using openpyxl.\",1324.0,1014.0,4.0,23,https://pypi.org/project/pyexcel-xlsx,2019-12-28 20:09:57+00:00,310.0,42242.0,42242.0,https://anaconda.org/conda-forge/pyexcel-xlsx,,,False,3,46.0,,,,,,,,,,,,,,,,,,,,,,\n413,PaddleOCR,PaddlePaddle/PaddleOCR,paddleocr,,,ocr,['paddle'],https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16+00:00,2020-11-30 10:28:20+00:00,2020-11-30 02:02:19+00:00,1330.0,206.0,650.0,6964.0,4.0,2020-10-30 07:12:41+00:00,1.1.1,8.0,\"Awesome multilingual OCR toolkits based on PaddlePaddle multilingual recognition: English, Chinese, Korean, Japanese,..\",8.0,8.0,45.0,22,https://pypi.org/project/paddleocr,2020-11-27 03:09:22+00:00,,1307.0,1307.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n414,Vaex,vaexio/vaex,vaex,conda-forge/vaex,,data-containers,,https://github.com/vaexio/vaex,https://github.com/vaexio/vaex,MIT,2014-09-27 09:44:42+00:00,2020-11-30 15:53:53+00:00,2020-11-30 09:27:41+00:00,411.0,260.0,361.0,5406.0,2865.0,2020-05-25 21:35:34+00:00,3.0.0,39.0,\"Out-of-Core DataFrames for Python, ML, visualize and explore big tabular data at a billion rows per second.\",2.0,,34.0,22,https://pypi.org/project/vaex,2020-11-25 16:28:38+00:00,2.0,5011.0,5013.0,https://anaconda.org/conda-forge/vaex,,,True,3,192.0,,,,,,,,,,,,,,,,,,,,,,\n415,DeepSpeed,microsoft/DeepSpeed,deepspeed,,,distributed-ml,['pytorch'],https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,MIT,2020-01-23 18:35:18+00:00,2020-11-30 07:35:47+00:00,2020-11-28 05:05:27+00:00,332.0,68.0,132.0,3760.0,350.0,2020-11-25 18:29:42+00:00,0.3.7,15.0,\"DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.\",1.0,1.0,32.0,22,https://pypi.org/project/deepspeed,2020-11-25 23:20:56+00:00,,1131.0,1770.0,,,,True,3,,,,deepspeed/deepspeed,https://hub.docker.com/r/deepspeed/deepspeed,2020-11-20 00:17:12.819964+00:00,2.0,6399.0,,,,,,,,,,,,,,,\n416,Snips NLU,snipsco/snips-nlu,snips-nlu,,,nlp,,https://github.com/snipsco/snips-nlu,https://github.com/snipsco/snips-nlu,Apache-2.0,2017-02-08 16:16:36+00:00,2020-02-08 21:49:33+00:00,2020-02-08 21:49:32+00:00,448.0,49.0,196.0,3402.0,2153.0,2020-01-15 10:13:17+00:00,0.20.2,58.0,Snips Python library to extract meaning from text.,8.0,,21.0,22,https://pypi.org/project/snips-nlu,2020-01-15 10:13:17+00:00,8.0,1649.0,1649.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n417,Image Deduplicator,idealo/imagededup,imagededup,,,image,['tensorflow'],https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54+00:00,2020-11-30 13:03:45+00:00,2020-11-23 17:40:40+00:00,263.0,11.0,48.0,3265.0,460.0,2020-11-23 17:55:24+00:00,0.2.4,9.0,Finding duplicate images made easy!.,9.0,8.0,9.0,22,https://pypi.org/project/imagededup,2020-11-22 21:09:36+00:00,1.0,1326.0,1326.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n418,ArrayFire,arrayfire/arrayfire,arrayfire,,,gpu-utilities,,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33+00:00,2020-11-25 18:57:13+00:00,2020-11-21 06:09:04+00:00,448.0,254.0,1189.0,3226.0,5662.0,2020-11-23 16:37:49+00:00,3.7.3,29.0,ArrayFire: a general purpose GPU library.,2.0,,80.0,22,https://pypi.org/project/arrayfire,2018-10-18 14:13:29+00:00,2.0,636.0,642.0,,,,True,2,421.0,,,,,,,,,,,,,,,,,,,,,,\n419,Scalene,emeryberger/scalene,scalene,,,system-monitoring,,https://github.com/emeryberger/scalene,https://github.com/emeryberger/scalene,Apache-2.0,2019-12-17 20:56:28+00:00,2020-11-25 23:50:46+00:00,2020-11-25 23:50:44+00:00,99.0,15.0,50.0,2818.0,756.0,2020-11-04 20:24:03+00:00,1.1.10,83.0,\"Scalene: a high-performance, high-precision CPU and memory profiler for Python.\",14.0,14.0,15.0,22,https://pypi.org/project/scalene,2020-11-04 20:24:03+00:00,0.0,1601.0,1601.0,,,,True,3,,,,,,,,,,,,,,,,,py-spy,,,,,,\n420,Porcupine,Picovoice/Porcupine,pvporcupine,,,audio,,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25+00:00,2020-11-29 06:24:46+00:00,2020-11-26 22:41:52+00:00,321.0,3.0,253.0,2232.0,306.0,2020-10-02 19:16:49+00:00,1.8.7,13.0,On-device wake word detection powered by deep learning.,3.0,3.0,24.0,22,https://pypi.org/project/pvporcupine,2020-10-02 19:16:49+00:00,0.0,443.0,443.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n421,Texar,asyml/texar,texar,,,nlp,['tensorflow'],https://github.com/asyml/texar,https://github.com/asyml/texar,Apache-2.0,2017-07-22 19:02:05+00:00,2020-09-17 07:03:55+00:00,2020-07-29 00:38:30+00:00,327.0,32.0,126.0,2062.0,1719.0,2019-11-19 04:11:18+00:00,0.2.4,6.0,\"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the..\",14.0,12.0,41.0,22,https://pypi.org/project/texar,2019-11-19 04:11:18+00:00,2.0,123.0,123.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n422,aubio,aubio/aubio,,,,audio,,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44+00:00,2020-11-27 08:58:08+00:00,2020-07-02 17:03:56+00:00,288.0,101.0,171.0,1972.0,4109.0,2019-02-27 09:00:43+00:00,0.4.9,8.0,a library for audio and music analysis.,194.0,194.0,24.0,22,,,,,,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n423,Mars,mars-project/mars,pymars,,,others,,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03+00:00,2020-11-30 12:19:27+00:00,2020-11-26 11:47:10+00:00,232.0,102.0,584.0,1946.0,634.0,2020-11-24 15:20:13+00:00,0.5.5,62.0,\"Mars is a tensor-based unified framework for large-scale data computation which scales Numpy, Pandas and Scikit-learn.\",3.0,3.0,14.0,22,https://pypi.org/project/pymars,2020-11-24 15:20:13+00:00,,1626.0,1626.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n424,Enigma Catalyst,enigmampc/catalyst,enigma-catalyst,,,financial-data,,https://github.com/enigmampc/catalyst,https://github.com/enigmampc/catalyst,Apache-2.0,2017-06-13 22:31:34+00:00,2020-03-12 17:32:54+00:00,2018-11-11 19:19:00+00:00,562.0,131.0,363.0,1880.0,6360.0,2018-09-13 15:09:58+00:00,0.5.21,52.0,An Algorithmic Trading Library for Crypto-Assets in Python.,19.0,19.0,143.0,22,https://pypi.org/project/enigma-catalyst,2018-11-11 16:46:28+00:00,,237.0,237.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n425,PyFlux,RJT1990/pyflux,pyflux,,,time-series-data,,https://github.com/RJT1990/pyflux,https://github.com/RJT1990/pyflux,BSD-3-Clause,2016-02-16 20:12:02+00:00,2019-03-19 10:45:02+00:00,2018-12-16 15:30:13+00:00,205.0,79.0,65.0,1827.0,118.0,2017-11-21 16:27:06+00:00,0.4.16,35.0,Open source time series library for Python.,178.0,163.0,6.0,22,https://pypi.org/project/pyflux,2017-11-21 16:27:06+00:00,15.0,12223.0,12223.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n426,PandasGUI,adamerose/pandasgui,pandasgui,,,data-viz,['pandas'],https://github.com/adamerose/pandasgui,https://github.com/adamerose/pandasgui,MIT,2019-06-12 02:19:42+00:00,2020-11-25 17:23:44+00:00,2020-11-25 17:23:35+00:00,95.0,9.0,48.0,1815.0,403.0,2020-11-10 17:30:20+00:00,0.2.7,37.0,A GUI for Pandas DataFrames.,22.0,21.0,6.0,22,https://pypi.org/project/pandasgui,2020-11-10 17:30:20+00:00,1.0,3787.0,3787.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n427,MONAI,Project-MONAI/MONAI,monai,,,medical-data,['pytorch'],https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38+00:00,2020-11-30 14:57:33+00:00,2020-11-28 19:50:48+00:00,272.0,86.0,511.0,1542.0,654.0,2020-10-05 10:55:34+00:00,0.3.0,12.0,AI Toolkit for Healthcare Imaging.,,,46.0,22,https://pypi.org/project/monai,2020-10-03 16:59:15+00:00,,4453.0,4453.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n428,Spektral,danielegrattarola/spektral,spektral,,,graph,\"['keras', 'tensorflow']\",https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10+00:00,2020-11-30 12:55:47+00:00,2020-11-30 12:36:38+00:00,167.0,20.0,78.0,1509.0,383.0,2020-11-30 12:54:14+00:00,1.0,23.0,Graph Neural Networks with Keras and Tensorflow 2.,20.0,20.0,12.0,22,https://pypi.org/project/spektral,2020-11-30 12:53:29+00:00,,1693.0,1693.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n429,scattertext,JasonKessler/scattertext,scattertext,,,nlp,,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12+00:00,2020-11-09 01:11:16+00:00,2020-11-09 01:10:04+00:00,194.0,16.0,49.0,1449.0,332.0,2017-03-13 05:31:21+00:00,0.0.2.4.4,125.0,Beautiful visualizations of how language differs among document types.,138.0,130.0,10.0,22,https://pypi.org/project/scattertext,2020-11-09 01:11:16+00:00,8.0,2076.0,2076.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n430,fast-bert,kaushaltrivedi/fast-bert,fast-bert,,,nlp,,https://github.com/kaushaltrivedi/fast-bert,https://github.com/kaushaltrivedi/fast-bert,Apache-2.0,2019-04-18 22:01:20+00:00,2020-10-22 14:27:41+00:00,2020-10-22 14:27:40+00:00,294.0,132.0,90.0,1444.0,260.0,2020-10-16 20:34:59+00:00,1.9.3,38.0,Super easy library for BERT based NLP models.,2.0,,34.0,22,https://pypi.org/project/fast-bert,2020-10-16 20:34:59+00:00,2.0,2472.0,2472.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n431,sklearn-contrib-lightning,scikit-learn-contrib/lightning,sklearn-contrib-lightning,,,others,['sklearn'],https://github.com/scikit-learn-contrib/lightning,https://github.com/scikit-learn-contrib/lightning,BSD-3-Clause,2012-01-11 13:53:52+00:00,2020-10-08 06:56:19+00:00,2020-06-09 20:24:37+00:00,164.0,41.0,35.0,1399.0,694.0,2017-11-04 18:03:11+00:00,0.5.0,6.0,\"Large-scale linear classification, regression and ranking in Python.\",68.0,66.0,14.0,22,https://pypi.org/project/sklearn-contrib-lightning,2017-11-04 18:03:11+00:00,2.0,328.0,328.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n432,anaGo,Hironsan/anago,anago,,,nlp,['keras'],https://github.com/Hironsan/anago,https://github.com/Hironsan/anago,MIT,2017-06-26 21:28:36+00:00,2020-11-13 17:31:18+00:00,2019-10-23 03:19:52+00:00,345.0,36.0,71.0,1367.0,296.0,2018-06-03 13:51:56+00:00,1.0.0,14.0,\"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.\",24.0,24.0,11.0,22,https://pypi.org/project/anago,2018-07-17 01:59:21+00:00,,1335.0,1335.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n433,NiftyNet,NifTK/NiftyNet,niftynet,,,medical-data,['tensorflow'],https://github.com/NifTK/NiftyNet,https://github.com/NifTK/NiftyNet,Apache-2.0,2017-08-30 07:55:43+00:00,2020-04-21 19:54:52+00:00,2020-04-21 19:54:51+00:00,371.0,99.0,224.0,1252.0,2848.0,2019-10-09 19:33:30+00:00,0.6.0,11.0,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,32.0,32.0,58.0,22,https://pypi.org/project/niftynet,2019-10-10 10:59:33+00:00,,279.0,279.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n434,hnswlib,nmslib/hnswlib,hnswlib,,,nn-search,,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46+00:00,2020-11-30 05:26:29+00:00,2020-08-18 21:30:59+00:00,214.0,68.0,101.0,1205.0,195.0,2020-07-13 04:50:55+00:00,0.4.0,3.0,Header-only C++/python library for fast approximate nearest neighbors.,2.0,,32.0,22,https://pypi.org/project/hnswlib,2020-07-13 04:50:55+00:00,2.0,7360.0,7360.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n435,EfficientNets,rwightman/gen-efficientnet-pytorch,geffnet,,,pytorch-utils,['pytorch'],https://github.com/rwightman/gen-efficientnet-pytorch,https://github.com/rwightman/gen-efficientnet-pytorch,Apache-2.0,2019-05-11 19:35:56+00:00,2020-11-30 05:51:08+00:00,2020-11-30 05:49:27+00:00,159.0,,46.0,1184.0,106.0,2020-08-20 19:55:21+00:00,1.0.0,9.0,\"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.\",25.0,25.0,5.0,22,https://pypi.org/project/geffnet,2020-08-20 19:55:21+00:00,,1225.0,1225.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n436,Torchmeta,tristandeleu/pytorch-meta,torchmeta,,,pytorch-utils,['pytorch'],https://github.com/tristandeleu/pytorch-meta,https://github.com/tristandeleu/pytorch-meta,MIT,2018-12-04 23:36:45+00:00,2020-11-25 16:45:01+00:00,2020-11-25 16:41:48+00:00,128.0,16.0,69.0,1110.0,341.0,2020-11-25 16:45:01+00:00,1.6.1,26.0,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.,21.0,21.0,10.0,22,https://pypi.org/project/torchmeta,2020-11-25 16:45:01+00:00,,5269.0,5269.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n437,TextAttack,QData/TextAttack,textattack,,,adversarial,,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44+00:00,2020-11-28 03:55:56+00:00,2020-11-28 03:55:55+00:00,109.0,22.0,57.0,1088.0,1819.0,2020-11-18 15:41:35+00:00,0.2.14,34.0,\"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP.\",11.0,11.0,27.0,22,https://pypi.org/project/textattack,2020-11-18 02:29:52+00:00,,869.0,869.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n438,metric-learn,scikit-learn-contrib/metric-learn,metric-learn,,,others,['sklearn'],https://github.com/scikit-learn-contrib/metric-learn,https://github.com/scikit-learn-contrib/metric-learn,MIT,2013-11-02 08:29:47+00:00,2020-08-04 01:35:49+00:00,2020-08-04 01:35:39+00:00,204.0,47.0,109.0,1077.0,263.0,2020-07-02 12:55:51+00:00,0.6.2,10.0,Metric learning algorithms in Python.,120.0,111.0,19.0,22,https://pypi.org/project/metric-learn,2020-07-02 12:59:23+00:00,9.0,7401.0,7401.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n439,pandasql,yhat/pandasql,pandasql,,,data-containers,['pandas'],https://github.com/yhat/pandasql,https://github.com/yhat/pandasql,MIT,2013-02-18 01:53:56+00:00,2020-08-14 13:00:13+00:00,2017-02-01 15:40:30+00:00,141.0,44.0,22.0,914.0,127.0,2016-04-20 21:52:36+00:00,0.7.3,31.0,sqldf for pandas.,620.0,571.0,15.0,22,https://pypi.org/project/pandasql,2016-04-20 21:52:36+00:00,49.0,201462.0,201462.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n440,tensorly,tensorly/tensorly,tensorly,,,others,,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52+00:00,2020-11-22 17:19:20+00:00,2020-11-19 19:15:09+00:00,181.0,25.0,88.0,905.0,807.0,2019-12-16 17:08:12+00:00,0.5.0,15.0,TensorLy: Tensor Learning in Python.,10.0,,37.0,22,https://pypi.org/project/tensorly,2020-10-15 18:53:13+00:00,10.0,3198.0,3198.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n441,bt,pmorissette/bt,bt,,,financial-data,,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28+00:00,2020-11-06 22:05:29+00:00,2020-11-06 22:05:28+00:00,242.0,67.0,137.0,889.0,358.0,2018-05-28 17:12:46+00:00,0.2.7,23.0,bt - flexible backtesting for Python.,59.0,39.0,20.0,22,https://pypi.org/project/bt,2018-05-28 17:12:46+00:00,20.0,4445.0,4445.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n442,luminol,linkedin/luminol,luminol,,,time-series-data,,https://github.com/linkedin/luminol,https://github.com/linkedin/luminol,Apache-2.0,2015-11-18 23:16:33+00:00,2019-10-23 13:20:58+00:00,2018-01-09 07:46:55+00:00,173.0,24.0,12.0,857.0,69.0,2016-01-20 01:01:44+00:00,0.3.1,5.0,Anomaly Detection and Correlation library.,48.0,36.0,8.0,22,https://pypi.org/project/luminol,2017-12-11 06:04:15+00:00,12.0,133322.0,133322.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n443,attention-ocr,emedvedev/attention-ocr,aocr,,,ocr,['tensorflow'],https://github.com/emedvedev/attention-ocr,https://github.com/emedvedev/attention-ocr,MIT,2017-07-21 18:35:19+00:00,2020-10-31 19:40:20+00:00,2020-10-31 19:40:19+00:00,226.0,14.0,125.0,815.0,196.0,2020-10-12 06:56:40+00:00,0.7.6,21.0,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,14.0,14.0,27.0,22,https://pypi.org/project/aocr,2019-04-19 05:28:27+00:00,,235.0,235.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n444,Alibi,SeldonIO/alibi,alibi,,,interpretability,,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Apache-2.0,2019-02-26 10:10:56+00:00,2020-11-30 16:54:29+00:00,2020-11-04 10:03:16+00:00,93.0,58.0,71.0,770.0,222.0,2020-10-20 14:14:29+00:00,0.5.5,15.0,Algorithms for monitoring and explaining machine learning models.,56.0,47.0,11.0,22,https://pypi.org/project/alibi,2020-10-20 14:13:40+00:00,9.0,3717.0,3717.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n445,Neural Structured Learning,tensorflow/neural-structured-learning,neural-structured-learning,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/neural-structured-learning,https://github.com/tensorflow/neural-structured-learning,Apache-2.0,2019-08-27 21:48:16+00:00,2020-11-25 02:21:04+00:00,2020-11-25 02:20:59+00:00,134.0,6.0,37.0,748.0,342.0,2020-08-18 00:30:03+00:00,1.3.1,7.0,Training neural models with structured signals.,13.0,13.0,24.0,22,https://pypi.org/project/neural-structured-learning,2020-08-18 00:35:35+00:00,,2428.0,2428.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n446,Explainability 360,Trusted-AI/AIX360,aix360,,,interpretability,,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48+00:00,2020-11-20 16:25:56+00:00,2020-10-28 09:20:02+00:00,151.0,23.0,17.0,721.0,295.0,2020-10-28 09:32:21+00:00,0.2.1,4.0,Interpretability and explainability of data and machine learning models.,12.0,11.0,25.0,22,https://pypi.org/project/aix360,2020-10-28 09:18:17+00:00,1.0,843.0,843.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n447,openTSNE,pavlin-policar/openTSNE,opentsne,conda-forge/opentsne,,data-viz,,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09+00:00,2020-11-27 13:41:37+00:00,2020-11-27 13:40:26+00:00,78.0,3.0,67.0,720.0,496.0,2020-05-08 13:03:50+00:00,0.4.4,17.0,\"Extensible, parallel implementations of t-SNE.\",147.0,143.0,10.0,22,https://pypi.org/project/opentsne,2020-08-04 06:43:16+00:00,4.0,8365.0,8365.0,https://anaconda.org/conda-forge/opentsne,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n448,FinTA,peerchemist/finta,finta,,,financial-data,,https://github.com/peerchemist/finta,https://github.com/peerchemist/finta,LGPL-3.0,2016-09-01 21:02:46+00:00,2020-11-04 21:30:12+00:00,2020-11-04 21:30:11+00:00,259.0,9.0,57.0,720.0,364.0,2020-10-21 11:36:19+00:00,1.2,19.0,Common financial technical indicators implemented in Pandas.,51.0,49.0,21.0,22,https://pypi.org/project/finta,2020-10-21 11:39:44+00:00,2.0,3042.0,3042.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n449,AstroML,astroML/astroML,astroML,,,others,['sklearn'],https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50+00:00,2020-09-09 15:52:15+00:00,2020-09-09 15:52:13+00:00,246.0,48.0,80.0,696.0,508.0,2019-10-02 06:32:58+00:00,0.4.1,10.0,\"Machine learning, statistics, and data mining for astronomy and astrophysics.\",180.0,151.0,29.0,22,https://pypi.org/project/astroML,2020-03-23 23:20:49+00:00,29.0,864.0,864.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n450,Satpy,pytroll/satpy,satpy,,,geospatial-data,,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43+00:00,2020-11-30 17:28:03+00:00,2020-11-23 16:50:47+00:00,182.0,279.0,276.0,644.0,7791.0,2020-11-16 09:48:15+00:00,0.24.0,61.0,Python package for earth-observing satellite data processing.,38.0,35.0,101.0,22,https://pypi.org/project/satpy,2020-11-16 09:48:15+00:00,3.0,1044.0,1044.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n451,TreeInterpreter,andosa/treeinterpreter,treeinterpreter,,,interpretability,['sklearn'],https://github.com/andosa/treeinterpreter,https://github.com/andosa/treeinterpreter,BSD-3-Clause,2015-08-02 20:26:21+00:00,2020-10-03 02:17:19+00:00,2020-06-22 18:40:46+00:00,127.0,18.0,1.0,626.0,34.0,2018-12-16 14:02:34+00:00,0.2.2,4.0,Package for interpreting scikit-learn's decision tree and random forest predictions.,107.0,103.0,10.0,22,https://pypi.org/project/treeinterpreter,2018-12-16 14:02:34+00:00,4.0,85708.0,85708.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n452,scikit-multilearn,scikit-multilearn/scikit-multilearn,scikit-multilearn,,,others,['sklearn'],https://github.com/scikit-multilearn/scikit-multilearn,https://github.com/scikit-multilearn/scikit-multilearn,BSD-2-Clause,2014-04-30 13:05:44+00:00,2020-06-30 10:19:46+00:00,2019-05-21 11:29:06+00:00,114.0,63.0,91.0,604.0,487.0,2018-12-10 16:24:47+00:00,0.2.0,6.0,A scikit-learn based module for multi-label et. al. classification.,297.0,294.0,15.0,22,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47+00:00,3.0,54014.0,54014.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n453,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,pandas-bokeh,,,data-viz,['pandas'],https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14+00:00,2020-11-27 08:30:55+00:00,2020-11-27 08:28:43+00:00,74.0,20.0,51.0,579.0,259.0,2020-11-27 08:29:09+00:00,0.5.2,13.0,Bokeh Plotting Backend for Pandas and GeoPandas.,117.0,107.0,11.0,22,https://pypi.org/project/pandas-bokeh,2020-11-27 08:30:55+00:00,10.0,6074.0,6074.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n454,Guild AI,guildai/guildai,guildai,,,ml-experiments,,https://github.com/guildai/guildai,https://github.com/guildai/guildai,Apache-2.0,2017-09-27 18:57:50+00:00,2020-11-30 03:24:45+00:00,2020-11-30 03:23:44+00:00,44.0,93.0,140.0,505.0,4109.0,2020-07-12 03:29:40+00:00,0.7.0,152.0,\"Experiment tracking, ML developer tools.\",25.0,25.0,16.0,22,https://pypi.org/project/guildai,2020-10-23 18:56:09+00:00,,2044.0,2044.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n455,vega,vega/ipyvega,vega,conda-forge/vega,,data-viz,['jupyter'],https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47+00:00,2020-11-30 09:50:23+00:00,2020-11-30 09:50:20+00:00,46.0,8.0,79.0,286.0,453.0,2020-05-15 23:40:02+00:00,3.4.0,37.0,IPython/Jupyter notebook module for Vega and Vega-Lite.,148.0,,9.0,22,https://pypi.org/project/vega,2020-05-15 23:40:02+00:00,148.0,12619.0,12619.0,https://anaconda.org/conda-forge/vega,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n456,TensorFlow Cloud,tensorflow/cloud,tensorflow-cloud,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59+00:00,2020-11-25 22:35:03+00:00,2020-11-25 08:40:52+00:00,39.0,38.0,24.0,205.0,471.0,2020-11-03 22:03:22+00:00,0.1.9,11.0,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,5.0,5.0,14.0,22,https://pypi.org/project/tensorflow-cloud,2020-11-03 23:29:02+00:00,,420421.0,420421.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n457,py3nvml,fbcotter/py3nvml,py3nvml,,,gpu-utilities,,https://github.com/fbcotter/py3nvml,https://github.com/fbcotter/py3nvml,BSD-3-Clause,2016-11-21 01:07:37+00:00,2020-04-23 06:54:43+00:00,2020-04-23 06:54:42+00:00,24.0,2.0,8.0,159.0,79.0,2020-04-06 16:02:10+00:00,0.2.6,13.0,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,217.0,197.0,6.0,22,https://pypi.org/project/py3nvml,2020-04-06 16:02:10+00:00,20.0,84362.0,84362.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n458,Recommenders,microsoft/recommenders,,,,recommender-systems,,https://github.com/microsoft/recommenders,https://github.com/microsoft/recommenders,MIT,2018-09-19 10:06:07+00:00,2020-11-30 07:58:00+00:00,2020-11-27 17:04:52+00:00,1440.0,100.0,425.0,8740.0,6206.0,2020-08-20 15:11:46+00:00,2020.8,6.0,Best Practices on Recommendation Systems.,1.0,1.0,86.0,21,,,,,,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n459,Dejavu,worldveil/dejavu,PyDejavu,,,audio,,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35+00:00,2020-10-29 17:40:17+00:00,2020-06-03 05:58:03+00:00,1184.0,74.0,128.0,5227.0,146.0,2015-04-19 21:20:16+00:00,0.1.3,4.0,Audio fingerprinting and recognition in Python.,17.0,16.0,23.0,21,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16+00:00,1.0,62.0,62.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n460,Face Alignment,1adrianb/face-alignment,face-alignment,,,image,['pytorch'],https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44+00:00,2020-11-29 13:41:48+00:00,2020-11-29 13:41:47+00:00,971.0,45.0,156.0,4487.0,145.0,2020-09-12 12:24:59+00:00,1.1.1,5.0,2D and 3D Face alignment library build using pytorch.,6.0,,19.0,21,https://pypi.org/project/face-alignment,2020-09-12 12:24:59+00:00,6.0,4873.0,4873.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n461,mace,XiaoMi/mace,,,,ml-frameworks,,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12+00:00,2020-11-04 12:39:59+00:00,2020-11-04 11:55:55+00:00,735.0,37.0,572.0,4210.0,3059.0,2020-11-04 12:43:00+00:00,1.0.0,7.0,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,,,54.0,21,,,,,46.0,,,,True,3,1244.0,,,,,,,,,,,,,,,,,,,,,,\n462,MMF,facebookresearch/mmf,mmf,,,image,['pytorch'],https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40+00:00,2020-11-28 04:50:04+00:00,2020-11-19 19:21:18+00:00,585.0,88.0,307.0,3965.0,746.0,2019-08-26 19:04:21+00:00,0.3.1,11.0,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,6.0,6.0,50.0,21,https://pypi.org/project/mmf,2020-06-11 16:09:52+00:00,,290.0,290.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n463,DeepMatcher,anhaidgroup/deepmatcher,deepmatcher,,,nlp,,https://github.com/anhaidgroup/deepmatcher,https://github.com/anhaidgroup/deepmatcher,BSD-3-Clause,2017-12-01 19:01:11+00:00,2020-09-27 17:25:56+00:00,2020-04-20 02:34:24+00:00,1227.0,41.0,15.0,3285.0,169.0,2019-12-30 19:49:33+00:00,0.1.1,9.0,Python package for performing Entity and Text Matching using Deep Learning.,9.0,9.0,7.0,21,https://pypi.org/project/deepmatcher,2019-12-30 19:49:33+00:00,,303.0,303.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n464,MatchZoo,NTMC-Community/MatchZoo,matchzoo,,,nlp,['keras'],https://github.com/NTMC-Community/MatchZoo,https://github.com/NTMC-Community/MatchZoo,Apache-2.0,2017-06-08 08:55:22+00:00,2020-06-17 07:27:59+00:00,2019-10-24 13:10:07+00:00,858.0,23.0,426.0,3277.0,1808.0,2019-10-24 13:09:11+00:00,2.2.0,5.0,\"Facilitating the design, comparison and sharing of deep text matching models.\",9.0,9.0,35.0,21,https://pypi.org/project/matchzoo,2019-10-24 13:09:11+00:00,,253.0,253.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n465,TensorWatch,microsoft/tensorwatch,tensorwatch,,,ml-experiments,,https://github.com/microsoft/tensorwatch,https://github.com/microsoft/tensorwatch,MIT,2019-05-15 08:29:34+00:00,2020-09-16 04:30:12+00:00,2020-09-16 04:30:11+00:00,305.0,48.0,14.0,2975.0,108.0,2020-03-04 07:26:22+00:00,0.9.1,14.0,\"Debugging, monitoring and visualization for Python Machine Learning and Data Science.\",46.0,40.0,11.0,21,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22+00:00,6.0,1072.0,1072.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n466,NLP Architect,IntelLabs/nlp-architect,nlp-architect,,,nlp,,https://github.com/IntelLabs/nlp-architect,https://github.com/IntelLabs/nlp-architect,Apache-2.0,2018-05-17 21:00:13+00:00,2020-11-30 11:30:59+00:00,2020-11-26 15:35:15+00:00,394.0,16.0,101.0,2537.0,946.0,2020-11-17 12:32:37+00:00,0.5.5.1,13.0,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,5.0,5.0,35.0,21,https://pypi.org/project/nlp-architect,2020-04-12 11:34:38+00:00,,202.0,202.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n467,WikiExtractor,attardi/wikiextractor,wikiextractor,,,web-scraping,,https://github.com/attardi/wikiextractor,https://github.com/attardi/wikiextractor,AGPL-3.0,2015-03-22 12:03:01+00:00,2020-11-29 19:40:57+00:00,2020-11-27 15:48:03+00:00,688.0,81.0,92.0,2441.0,204.0,2020-11-27 16:08:10+00:00,3.0,1.0,A tool for extracting plain text from Wikipedia dumps.,36.0,32.0,29.0,21,https://pypi.org/project/wikiextractor,2019-07-09 11:14:11+00:00,4.0,2658.0,2658.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n468,tensorflow-graphics,tensorflow/graphics,tensorflow-graphics,,,image,['tensorflow'],https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44+00:00,2020-11-13 18:50:29+00:00,2020-10-30 10:26:19+00:00,261.0,87.0,81.0,2347.0,566.0,2020-05-20 19:56:41+00:00,2020.5.20,21.0,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,3.0,,30.0,21,https://pypi.org/project/tensorflow-graphics,2020-05-20 19:56:41+00:00,3.0,983.0,983.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n469,Luminoth,tryolabs/luminoth,luminoth,,,image,['tensorflow'],https://github.com/tryolabs/luminoth,https://github.com/tryolabs/luminoth,BSD-3-Clause,2017-02-16 15:07:46+00:00,2020-11-13 18:44:46+00:00,2020-01-07 20:53:25+00:00,400.0,50.0,127.0,2325.0,838.0,2018-10-31 22:19:52+00:00,0.2.3,10.0,Deep Learning toolkit for Computer Vision.,27.0,27.0,15.0,21,https://pypi.org/project/luminoth,2018-11-09 21:35:17+00:00,,611.0,909.0,,,,True,3,11028.0,,,,,,,,,,,,,,,,,,,,,,\n470,Image Super-Resolution,idealo/image-super-resolution,ISR,,,image,['tensorflow'],https://github.com/idealo/image-super-resolution,https://github.com/idealo/image-super-resolution,Apache-2.0,2018-11-26 13:41:13+00:00,2020-11-11 15:09:20+00:00,2020-11-11 15:09:19+00:00,432.0,41.0,95.0,2287.0,138.0,2020-01-08 15:37:35+00:00,2.2.0,11.0,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,38.0,34.0,9.0,21,https://pypi.org/project/ISR,2020-01-08 15:37:35+00:00,4.0,1631.0,1635.0,,,,True,3,,,,idealo/image-super-resolution-gpu,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251+00:00,,108.0,,,,,,,,,,,,,,,\n471,Texthero,jbesomi/texthero,texthero,,,nlp,,https://github.com/jbesomi/texthero,https://github.com/jbesomi/texthero,MIT,2020-04-06 15:16:05+00:00,2020-11-03 07:58:37+00:00,2020-11-03 07:58:36+00:00,174.0,73.0,45.0,1983.0,267.0,2020-07-06 20:32:28+00:00,1.0.9,9.0,\"Text preprocessing, representation and visualization from zero to hero.\",,,18.0,21,https://pypi.org/project/texthero,2020-07-06 20:29:25+00:00,,2525.0,2532.0,,,,True,3,52.0,,,,,,,,,,,,,,,,,,,,,,\n472,TF Ranking,tensorflow/ranking,tensorflow_ranking,,,recommender-systems,['tensorflow'],https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57+00:00,2020-08-29 04:38:20+00:00,2020-08-19 20:44:22+00:00,346.0,18.0,193.0,1951.0,213.0,2020-08-19 21:58:05+00:00,0.3.2,14.0,Learning to Rank in TensorFlow.,1.0,,17.0,21,https://pypi.org/project/tensorflow_ranking,2020-08-19 21:14:13+00:00,1.0,27196.0,27196.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n473,knockknock,huggingface/knockknock,knockknock,,,ml-experiments,,https://github.com/huggingface/knockknock,https://github.com/huggingface/knockknock,MIT,2019-03-20 13:08:55+00:00,2020-07-31 11:55:05+00:00,2020-03-16 04:26:47+00:00,151.0,12.0,21.0,1880.0,75.0,2020-03-04 04:15:47+00:00,0.1.8,10.0,Knock Knock: Get notified when your training ends with only two additional lines of code.,108.0,105.0,18.0,21,https://pypi.org/project/knockknock,2020-03-16 14:30:23+00:00,3.0,1234.0,1234.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n474,STUMPY,TDAmeritrade/stumpy,stumpy,conda-forge/stumpy,,time-series-data,,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44+00:00,2020-11-29 20:12:53+00:00,2020-11-29 20:12:03+00:00,149.0,34.0,185.0,1572.0,709.0,2020-10-19 20:37:58+00:00,1.5.1,13.0,\"STUMPY is a powerful and scalable Python library for computing a Matrix Profile, which can be used for a variety of..\",,,19.0,21,https://pypi.org/project/stumpy,2020-10-19 20:30:50+00:00,,2874.0,2874.0,https://anaconda.org/conda-forge/stumpy,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n475,Magnitude,plasticityai/magnitude,pymagnitude,,,nn-search,,https://github.com/plasticityai/magnitude,https://github.com/plasticityai/magnitude,MIT,2018-02-24 07:28:16+00:00,2020-07-17 20:19:50+00:00,2020-07-17 20:19:46+00:00,98.0,23.0,50.0,1361.0,350.0,2020-05-25 11:26:36+00:00,0.1.143,128.0,\"A fast, efficient universal vector embedding utility package.\",173.0,159.0,4.0,21,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36+00:00,14.0,3025.0,3025.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n476,DELTA,Delta-ML/delta,delta-nlp,,,nlp,['tensorflow'],https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57+00:00,2020-11-30 15:41:59.364833+00:00,2020-11-25 06:25:10+00:00,269.0,9.0,63.0,1343.0,926.0,2020-07-16 09:31:45+00:00,0.3.3,4.0,DELTA is a deep learning based natural language and speech processing platform.,,,41.0,21,https://pypi.org/project/delta-nlp,2020-03-27 04:46:19+00:00,,29.0,666.0,,,,True,3,,,,zh794390558/delta,https://hub.docker.com/r/zh794390558/delta,2020-11-30 15:41:59.364833+00:00,,11474.0,,,,,,,,,,,,,,,\n477,TensorFlow Privacy,tensorflow/privacy,tensorflow-privacy,,,privacy-ml,['tensorflow'],https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46+00:00,2020-11-27 10:03:36+00:00,2020-11-24 16:06:11+00:00,258.0,38.0,74.0,1267.0,390.0,2020-09-03 01:13:47+00:00,.0.5.1,9.0,Library for training machine learning models with privacy for training data.,1.0,,33.0,21,https://pypi.org/project/tensorflow-privacy,2020-09-03 01:10:15+00:00,1.0,5296.0,5298.0,,,,True,2,38.0,,,,,,,,,,,,,,,,,,,,,,\n478,Neural Tangents,google/neural-tangents,neural-tangents,,,ml-frameworks,,https://github.com/google/neural-tangents,https://github.com/google/neural-tangents,Apache-2.0,2019-04-08 16:48:48+00:00,2020-11-21 01:37:45+00:00,2020-11-21 01:37:37+00:00,132.0,23.0,47.0,1202.0,333.0,2020-11-18 04:34:54+00:00,0.3.5,19.0,Fast and Easy Infinite Neural Networks in Python.,11.0,11.0,16.0,21,https://pypi.org/project/neural-tangents,2020-11-18 04:23:35+00:00,,466.0,476.0,,,,True,3,51.0,,,,,,,,,,,,,,,,,,,,,,\n479,Pypeline,cgarciae/pypeln,pypeln,,,data-pipelines,,https://github.com/cgarciae/pypeln,https://github.com/cgarciae/pypeln,MIT,2018-09-01 13:43:31+00:00,2020-11-14 00:02:17+00:00,2020-11-13 23:36:42+00:00,63.0,10.0,34.0,1174.0,227.0,2020-10-11 21:02:19+00:00,0.4.6,33.0,Concurrent data pipelines in Python .,5.0,,8.0,21,https://pypi.org/project/pypeln,2020-10-11 21:01:30+00:00,5.0,4835.0,4835.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n480,tensorrec,jfkirk/tensorrec,tensorrec,,,recommender-systems,['tensorflow'],https://github.com/jfkirk/tensorrec,https://github.com/jfkirk/tensorrec,Apache-2.0,2017-02-28 18:51:11+00:00,2020-07-30 02:47:12+00:00,2020-02-04 21:10:25+00:00,204.0,32.0,90.0,1111.0,334.0,2019-04-02 00:53:47+00:00,0.26.2,30.0,A TensorFlow recommendation algorithm and framework in Python.,22.0,21.0,8.0,21,https://pypi.org/project/tensorrec,2019-04-02 00:53:47+00:00,1.0,1206.0,1206.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n481,TFEncrypted,tf-encrypted/tf-encrypted,tf-encrypted,,,privacy-ml,['tensorflow'],https://github.com/tf-encrypted/tf-encrypted,https://github.com/tf-encrypted/tf-encrypted,Apache-2.0,2018-03-21 18:22:13+00:00,2020-11-19 15:48:03+00:00,2020-08-19 16:56:56+00:00,131.0,161.0,228.0,792.0,595.0,2019-09-27 20:00:01+00:00,0.5.9,35.0,A Framework for Encrypted Machine Learning in TensorFlow.,51.0,43.0,28.0,21,https://pypi.org/project/tf-encrypted,2019-10-21 18:05:53+00:00,8.0,747.0,747.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n482,scikit-cuda,lebedov/scikit-cuda,scikit-cuda,,,gpu-utilities,,https://github.com/lebedov/scikit-cuda,https://github.com/lebedov/scikit-cuda,BSD-3-Clause,2010-09-27 02:02:07+00:00,2020-07-13 12:48:39+00:00,2020-07-13 12:47:46+00:00,154.0,35.0,163.0,777.0,1026.0,2019-05-27 00:29:00+00:00,0.5.3,7.0,Python interface to GPU-powered libraries.,140.0,109.0,44.0,21,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00+00:00,31.0,761.0,761.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n483,gmaps,pbugnion/gmaps,gmaps,,,geospatial-data,['jupyter'],https://github.com/pbugnion/gmaps,https://github.com/pbugnion/gmaps,BSD-3-Clause,2014-12-01 09:12:06+00:00,2020-10-13 07:09:18+00:00,2019-07-22 06:22:45+00:00,141.0,63.0,135.0,681.0,1380.0,2019-07-21 08:49:48.715000+00:00,0.9.0,93.0,Google maps for Jupyter notebooks.,38.0,1.0,16.0,21,https://pypi.org/project/gmaps,2019-07-20 07:47:04+00:00,37.0,4174.0,5532.0,,,,False,3,,,,,,,,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715000+00:00,,1358.0,,,,,,,,,,\n484,Madmom,CPJKU/madmom,madmom,,,audio,,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06+00:00,2020-04-14 03:42:18+00:00,2019-12-19 14:46:37+00:00,112.0,42.0,176.0,679.0,1722.0,2018-11-14 14:57:41+00:00,0.16.1,11.0,Python audio and music signal processing library.,113.0,105.0,19.0,21,https://pypi.org/project/madmom,2018-11-14 14:56:22+00:00,8.0,1251.0,1251.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n485,torch-scatter,rusty1s/pytorch_scatter,torch-scatter,,,pytorch-utils,['pytorch'],https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23+00:00,2020-11-23 14:25:07+00:00,2020-11-23 14:25:03+00:00,67.0,55.0,100.0,549.0,802.0,2020-06-24 09:29:12+00:00,2.0.5,24.0,PyTorch Extension Library of Optimized Scatter Operations.,16.0,,13.0,21,https://pypi.org/project/torch-scatter,2020-02-22 16:51:10+00:00,16.0,3946.0,3946.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n486,Prince,MaxHalford/prince,prince,,,others,['sklearn'],https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06+00:00,2020-10-06 11:48:49+00:00,2020-10-06 11:26:04+00:00,104.0,23.0,64.0,530.0,178.0,2020-03-31 06:03:52+00:00,0.7.1,41.0,\"Python factor analysis library (PCA, CA, MCA, MFA, FAMD).\",96.0,93.0,9.0,21,https://pypi.org/project/prince,2020-10-06 11:26:47+00:00,3.0,5998.0,5998.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n487,pickleDB,patx/pickledb,pickledb,,,data-containers,,https://github.com/patx/pickledb,https://github.com/patx/pickledb,BSD-3-Clause,2011-10-28 00:04:40+00:00,2020-08-25 09:47:52+00:00,2019-11-15 03:38:30+00:00,91.0,16.0,39.0,517.0,105.0,2019-01-13 22:40:32+00:00,0.9.1,19.0,pickleDB is an open source key-value store using Python's json module.,501.0,399.0,11.0,21,https://pypi.org/project/pickledb,2019-01-13 22:40:32+00:00,102.0,17083.0,17083.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n488,Pandas Summary,mouradmourafiq/pandas-summary,pandas-summary,,,data-containers,['pandas'],https://github.com/mouradmourafiq/pandas-summary,https://github.com/mouradmourafiq/pandas-summary,MIT,2016-03-25 21:59:32+00:00,2019-08-24 21:10:25+00:00,2019-08-24 21:10:24+00:00,33.0,8.0,5.0,356.0,24.0,2016-08-30 07:54:59+00:00,0.0.41,8.0,An extension to pandas dataframes describe function.,548.0,529.0,6.0,21,https://pypi.org/project/pandas-summary,2016-08-30 07:54:59+00:00,19.0,8845.0,8845.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n489,PyNNDescent,lmcinnes/pynndescent,pynndescent,,,nn-search,,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54+00:00,2020-11-28 21:20:02+00:00,2020-11-28 21:19:56+00:00,43.0,22.0,27.0,320.0,453.0,2020-11-19 20:20:48+00:00,0.5.1,20.0,A Python nearest neighbor descent for approximate nearest neighbors.,3.0,,10.0,21,https://pypi.org/project/pynndescent,2020-11-19 20:20:48+00:00,3.0,18351.0,18351.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n490,PyTorch Sparse,rusty1s/pytorch_sparse,torch-sparse,,,pytorch-utils,['pytorch'],https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53+00:00,2020-11-24 10:24:07+00:00,2020-11-24 10:24:03+00:00,36.0,29.0,43.0,316.0,502.0,2020-11-02 10:42:59+00:00,0.6.8,21.0,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,17.0,,11.0,21,https://pypi.org/project/torch-sparse,2020-11-02 10:43:20+00:00,17.0,3605.0,3605.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n491,torch-cluster,rusty1s/pytorch_cluster,torch-cluster,,,graph,['pytorch'],https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06+00:00,2020-11-02 06:58:30+00:00,2020-11-02 06:58:26+00:00,59.0,34.0,34.0,297.0,484.0,2020-10-31 14:42:35+00:00,1.5.8,38.0,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,16.0,,17.0,21,https://pypi.org/project/torch-cluster,2020-10-31 14:42:35+00:00,16.0,2432.0,2432.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n492,NIPY,nipy/nipy,nipy,,,medical-data,,https://github.com/nipy/nipy,https://github.com/nipy/nipy,DSDP,2010-05-02 10:00:33+00:00,2020-11-24 19:22:47+00:00,2020-10-14 22:51:30+00:00,115.0,37.0,104.0,285.0,6371.0,2018-02-19 14:14:08+00:00,0.4.2,6.0,Neuroimaging in Python FMRI analysis package.,29.0,,63.0,21,https://pypi.org/project/nipy,2018-02-19 14:14:08+00:00,29.0,1340.0,1340.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n493,SDV,sdv-dev/SDV,sdv,,,data-loading,,https://github.com/sdv-dev/SDV,https://github.com/sdv-dev/SDV,MIT,2018-05-11 15:56:50+00:00,2020-11-25 21:37:45+00:00,2020-11-25 21:16:07+00:00,45.0,33.0,123.0,240.0,726.0,2020-11-25 21:16:43+00:00,0.5.0,31.0,\"Synthetic Data Generation for tabular, relational, time series data.\",12.0,12.0,31.0,21,https://pypi.org/project/sdv,2020-11-25 21:16:03+00:00,,1011.0,1011.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n494,pymap3d,geospace-code/pymap3d,pymap3d,,,geospatial-data,,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03+00:00,2020-11-08 05:25:47+00:00,2020-11-08 05:25:44+00:00,55.0,2.0,22.0,163.0,621.0,2020-09-21 15:20:10+00:00,2.4.3,45.0,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,3.0,,8.0,21,https://pypi.org/project/pymap3d,2020-09-21 15:16:49+00:00,3.0,22863.0,22863.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n495,filedepot,amol-/depot,filedepot,,,db-clients,,https://github.com/amol-/depot,https://github.com/amol-/depot,MIT,2014-06-04 10:27:12+00:00,2020-07-27 18:27:16+00:00,2020-07-27 18:22:42+00:00,32.0,6.0,33.0,119.0,257.0,2020-07-27 18:26:46+00:00,0.8.0,23.0,Toolkit for storing files and attachments in web applications.,297.0,209.0,18.0,21,https://pypi.org/project/filedepot,2020-07-27 18:27:16+00:00,88.0,2735.0,2735.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n496,beautifulsoup4,,beautifulsoup4,,,web-scraping,,,http://www.crummy.com/software/BeautifulSoup/bs4/,MIT,,2020-10-03 15:37:19+00:00,,,,,,,2020-10-03 15:37:19+00:00,4.9.3,33.0,Screen-scraping library.,61666.0,,,21,https://pypi.org/project/beautifulsoup4,2020-10-03 15:37:19+00:00,61666.0,9210820.0,9210820.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n497,Photon,s0md3v/Photon,photon,,,web-scraping,,https://github.com/s0md3v/Photon,https://github.com/s0md3v/Photon,GPL-3.0,2018-03-30 19:38:22+00:00,2020-10-28 14:01:02+00:00,2019-12-06 14:59:47+00:00,972.0,33.0,65.0,7331.0,324.0,2019-04-05 15:15:47+00:00,1.3.0,18.0,Incredibly fast crawler designed for OSINT.,5.0,,21.0,20,https://pypi.org/project/photon,2019-01-25 01:13:36+00:00,5.0,381.0,381.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n498,Apex,NVIDIA/apex,,conda-forge/nvidia-apex,,gpu-utilities,['pytorch'],https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52+00:00,2020-11-19 16:31:20+00:00,2020-10-19 21:55:28+00:00,620.0,405.0,355.0,4801.0,821.0,,,,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,382.0,382.0,74.0,20,,,,,,https://anaconda.org/conda-forge/nvidia-apex,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n499,cuDF,rapidsai/cudf,cudf,,,gpu-utilities,,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37+00:00,2020-11-30 16:50:42+00:00,2020-11-30 16:49:52+00:00,458.0,545.0,2609.0,3484.0,,2020-10-21 16:57:55+00:00,0.16.0,5.0,cuDF - GPU DataFrame Library.,2.0,,196.0,20,https://pypi.org/project/cudf,2020-06-01 20:07:47+00:00,2.0,736.0,736.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n500,TRFL,deepmind/trfl,trfl,,,reinforcement-learning,['tensorflow'],https://github.com/deepmind/trfl,https://github.com/deepmind/trfl,Apache-2.0,2018-08-08 14:44:11+00:00,2020-11-06 04:44:44+00:00,2020-04-20 13:05:56+00:00,364.0,4.0,16.0,3044.0,116.0,2020-04-20 14:11:57+00:00,1.1.0,4.0,TensorFlow Reinforcement Learning.,35.0,33.0,12.0,20,https://pypi.org/project/trfl,2020-04-20 14:11:57+00:00,2.0,761.0,761.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n501,Profiling,what-studio/profiling,profiling,,,system-monitoring,,https://github.com/what-studio/profiling,https://github.com/what-studio/profiling,BSD-3-Clause,2014-09-03 10:35:57+00:00,2020-08-24 01:31:58+00:00,2020-08-24 01:31:58+00:00,113.0,15.0,20.0,3001.0,433.0,2017-06-28 06:10:16+00:00,0.1.3,3.0,Was an interactive continuous Python profiler.,34.0,29.0,18.0,20,https://pypi.org/project/profiling,2017-06-28 06:10:16+00:00,5.0,3263.0,3263.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n502,DALI,NVIDIA/DALI,,,,gpu-utilities,,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01+00:00,2020-11-30 16:34:11+00:00,2020-11-30 13:27:02+00:00,354.0,182.0,549.0,2953.0,1612.0,2020-11-30 15:46:55+00:00,0.28.0,34.0,A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep..,,,52.0,20,,,,,,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n503,AutoScraper,alirezamika/autoscraper,autoscraper,,,web-scraping,,https://github.com/alirezamika/autoscraper,https://github.com/alirezamika/autoscraper,MIT,2020-08-31 12:02:19+00:00,2020-11-29 13:03:11+00:00,2020-11-29 13:01:28+00:00,261.0,3.0,21.0,2874.0,123.0,2020-11-29 13:02:41+00:00,1.1.10,13.0,\"A Smart, Automatic, Fast and Lightweight Web Scraper for Python.\",12.0,12.0,6.0,20,https://pypi.org/project/autoscraper,2020-11-29 13:03:11+00:00,,801.0,801.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n504,AdaBound,Luolc/AdaBound,adabound,,,pytorch-utils,['pytorch'],https://github.com/Luolc/AdaBound,https://github.com/Luolc/AdaBound,Apache-2.0,2019-02-15 18:05:20+00:00,2019-03-06 17:01:52+00:00,2019-03-06 17:01:45+00:00,315.0,16.0,7.0,2813.0,27.0,2019-03-06 16:44:42+00:00,0.0.5,4.0,An optimizer that trains as fast as Adam and as good as SGD.,94.0,88.0,2.0,20,https://pypi.org/project/adabound,2019-02-26 04:23:45+00:00,6.0,1453.0,1453.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,\n505,SHOGUN,shogun-toolbox/shogun,shogun-ml,,,ml-frameworks,,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32+00:00,2020-10-10 19:02:55+00:00,2020-10-06 07:35:15+00:00,1007.0,544.0,1064.0,2762.0,16205.0,2019-07-05 10:23:31+00:00,shogun_6.1.4,10.0,The Shogun Machine Learning Toolbox.,,,246.0,20,https://pypi.org/project/shogun-ml,2018-10-23 02:36:25.133000+00:00,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n506,FATE,FederatedAI/FATE,,,,privacy-ml,,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43+00:00,2020-11-30 11:48:17+00:00,2020-11-26 10:09:41+00:00,732.0,235.0,517.0,2560.0,6585.0,2020-11-13 13:36:14+00:00,1.5.0,24.0,An Industrial Grade Federated Learning Framework.,,,50.0,20,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n507,BytePS,bytedance/byteps,byteps,,,distributed-ml,,https://github.com/bytedance/byteps,https://github.com/bytedance/byteps,Apache-2.0,2019-06-25 07:00:13+00:00,2020-11-27 23:25:39+00:00,2020-11-27 21:53:39+00:00,347.0,70.0,124.0,2493.0,403.0,2020-08-27 15:42:13+00:00,0.2.4,7.0,A high performance and generic framework for distributed DNN training.,,,15.0,20,https://pypi.org/project/byteps,2020-11-04 00:05:46+00:00,,322.0,375.0,,,,True,3,,,,bytepsimage/tensorflow,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610+00:00,,902.0,,,,,,,,,,,,,,,\n508,StreamAlert,airbnb/streamalert,,,,others,,https://github.com/airbnb/streamalert,https://github.com/airbnb/streamalert,Apache-2.0,2017-01-22 01:10:56+00:00,2020-10-27 21:18:35+00:00,2020-10-05 21:15:11+00:00,283.0,90.0,247.0,2410.0,1892.0,2020-10-05 21:50:56+00:00,3.4.1,27.0,\"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data..\",,,30.0,20,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n509,finmarketpy,cuemacro/finmarketpy,finmarketpy,,,financial-data,,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03+00:00,2020-11-30 15:29:44+00:00,2020-11-30 15:29:35+00:00,411.0,21.0,3.0,2386.0,634.0,2020-10-20 09:25:52+00:00,0.11.7,8.0,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,3.0,3.0,13.0,20,https://pypi.org/project/finmarketpy,2020-10-20 09:28:00+00:00,,107.0,107.0,,,,True,3,35.0,,,,,,,,,,,,,,,,,,,,,,\n510,NeMo,NVIDIA/NeMo,nemo-toolkit,,,nlp,['pytorch'],https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42+00:00,2020-11-30 13:06:51+00:00,2020-11-30 08:00:24+00:00,337.0,167.0,209.0,2209.0,,2020-07-10 00:01:18+00:00,0.11.0,35.0,NeMo: a toolkit for conversational AI.,2.0,,61.0,20,https://pypi.org/project/nemo-toolkit,2020-11-17 00:34:33+00:00,2.0,3313.0,3461.0,,,,True,3,2072.0,,,,,,,,,,,,,,,,,,,,,,\n511,DeepVariant,google/deepvariant,,bioconda/deepvariant,,medical-data,['tensorflow'],https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22+00:00,2020-11-30 10:22:06+00:00,2020-11-13 20:10:14+00:00,518.0,3.0,353.0,2121.0,1370.0,2020-09-03 17:45:09+00:00,1.0.0,14.0,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,,,19.0,20,,,,,81.0,https://anaconda.org/bioconda/deepvariant,,,True,3,2861.0,,,,,,,,,,,,,,,,,,,,,,\n512,TensorTrade,tensortrade-org/tensortrade,tensortrade,,,financial-data,,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32+00:00,2020-11-27 01:31:00+00:00,2020-09-17 13:33:31+00:00,518.0,33.0,106.0,1954.0,823.0,,,25.0,\"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.\",8.0,7.0,42.0,20,https://pypi.org/project/tensortrade,2020-08-24 18:26:46+00:00,1.0,465.0,465.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n513,Kashgari,BrikerMan/Kashgari,kashgari-tf,,,nlp,['tensorflow'],https://github.com/BrikerMan/Kashgari,https://github.com/BrikerMan/Kashgari,Apache-2.0,2019-01-19 01:53:28+00:00,2020-11-18 11:42:50+00:00,2020-10-29 08:08:00+00:00,363.0,27.0,291.0,1929.0,,2020-10-30 12:37:01+00:00,2.0.1,23.0,Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-..,20.0,19.0,19.0,20,https://pypi.org/project/kashgari-tf,2019-06-26 12:27:50+00:00,1.0,186.0,186.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n514,PARL,PaddlePaddle/PARL,parl,,,reinforcement-learning,['paddle'],https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22+00:00,2020-11-30 09:28:26+00:00,2020-11-24 09:57:06+00:00,384.0,30.0,130.0,1683.0,1.0,2020-07-02 07:31:32+00:00,1.3.3,14.0,A high-performance distributed training framework for Reinforcement Learning.,65.0,65.0,19.0,20,https://pypi.org/project/parl,2020-11-17 12:11:06+00:00,,452.0,452.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n515,auto_ml,ClimbsRocks/auto_ml,auto_ml,,,hyperopt,,https://github.com/ClimbsRocks/auto_ml,https://github.com/ClimbsRocks/auto_ml,MIT,2016-08-07 21:35:08+00:00,2020-05-19 22:45:27+00:00,2018-03-25 19:46:25+00:00,282.0,176.0,215.0,1504.0,1149.0,2018-02-22 01:13:03+00:00,2.9.10,78.0,[UNMAINTAINED] Automated machine learning for analytics & production.,1.0,,13.0,20,https://pypi.org/project/auto_ml,2018-02-22 01:13:03+00:00,1.0,2270.0,2270.0,,,,False,3,33.0,,,,,,,,,,,,,,,,,,,,,,\n516,AmpliGraph,Accenture/AmpliGraph,ampligraph,,,graph,['tensorflow'],https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05+00:00,2020-08-25 17:19:24+00:00,2020-08-25 17:00:58+00:00,150.0,18.0,155.0,1369.0,895.0,2020-08-25 17:06:46+00:00,1.3.2,11.0,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,9.0,9.0,14.0,20,https://pypi.org/project/ampligraph,2020-08-25 16:59:58+00:00,,1062.0,1062.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n517,cleanlab,cgnorthcutt/cleanlab,cleanlab,,,others,,https://github.com/cgnorthcutt/cleanlab,https://github.com/cgnorthcutt/cleanlab,MIT,2018-05-11 01:55:21+00:00,2020-10-16 05:57:29+00:00,2020-10-16 05:57:24+00:00,147.0,15.0,34.0,1324.0,693.0,2020-02-17 07:33:06+00:00,0.1.1,15.0,The standard package for machine learning with noisy labels and finding mislabeled data in Python.,8.0,8.0,5.0,20,https://pypi.org/project/cleanlab,2020-02-17 07:33:06+00:00,,1911.0,1911.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n518,db.py,yhat/db.py,db.py,,,db-clients,,https://github.com/yhat/db.py,https://github.com/yhat/db.py,BSD-2-Clause,2014-10-26 15:36:57+00:00,2019-12-13 18:00:10+00:00,2017-03-31 14:41:30+00:00,110.0,32.0,21.0,1205.0,233.0,2017-03-31 14:41:57+00:00,0.5.3,35.0,db.py is an easier way to interact with your databases.,19.0,,24.0,20,https://pypi.org/project/db.py,2017-03-31 14:41:57+00:00,19.0,875.0,875.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n519,Karate Club,benedekrozemberczki/karateclub,karateclub,,,graph,,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56+00:00,2020-11-23 22:53:19+00:00,2020-11-23 22:53:14+00:00,124.0,,46.0,1058.0,2086.0,2020-11-20 20:30:46+00:00,_100021,94.0,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,16.0,16.0,11.0,20,https://pypi.org/project/karateclub,2020-11-20 20:30:28+00:00,,2968.0,2968.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,\n520,datatable,h2oai/datatable,datatable,,,data-containers,,https://github.com/h2oai/datatable,https://github.com/h2oai/datatable,MPL-2.0,2017-03-03 02:32:59+00:00,2020-11-26 20:52:16+00:00,2020-11-24 01:13:44+00:00,87.0,106.0,1089.0,1049.0,,2020-09-20 05:51:25+00:00,0.11.0,14.0,A Python package for manipulating 2-dimensional tabular data structures.,3.0,,28.0,20,https://pypi.org/project/datatable,2020-09-20 04:26:55+00:00,3.0,10737.0,10750.0,,,,True,3,507.0,,,,,,,,,,,,,,,,,,,,,,\n521,FARM,deepset-ai/FARM,farm,,,nlp,['pytorch'],https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12+00:00,2020-11-30 15:56:53+00:00,2020-11-30 15:44:03+00:00,142.0,32.0,267.0,1030.0,499.0,2020-10-30 16:51:53+00:00,0.5.0,19.0,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,1.0,,28.0,20,https://pypi.org/project/farm,2020-10-30 16:14:35+00:00,1.0,7304.0,7304.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n522,Sockeye,awslabs/sockeye,sockeye,,,nlp,['mxnet'],https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30+00:00,2020-11-25 22:03:50+00:00,2020-11-25 22:03:46+00:00,287.0,19.0,215.0,975.0,727.0,2020-11-18 13:41:36+00:00,2.3.2,59.0,Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet.,2.0,,52.0,20,https://pypi.org/project/sockeye,2020-11-05 14:07:57+00:00,2.0,519.0,519.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n523,Classy Vision,facebookresearch/ClassyVision,classy_vision,conda-forge/classy_vision,,image,['pytorch'],https://github.com/facebookresearch/ClassyVision,https://github.com/facebookresearch/ClassyVision,MIT,2019-09-13 22:54:44+00:00,2020-11-30 16:49:22+00:00,2020-11-20 20:50:10+00:00,175.0,46.0,38.0,965.0,302.0,2020-11-20 16:42:56+00:00,0.5.0,15.0,An end-to-end PyTorch framework for image and video classification.,,,47.0,20,https://pypi.org/project/classy_vision,2020-11-20 21:02:29+00:00,,433.0,433.0,https://anaconda.org/conda-forge/classy_vision,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n524,TensorNets,taehoonlee/tensornets,tensornets,,,tensorflow-utils,['tensorflow'],https://github.com/taehoonlee/tensornets,https://github.com/taehoonlee/tensornets,MIT,2017-09-19 05:19:01+00:00,2020-10-03 09:19:27+00:00,2020-10-03 09:19:17+00:00,181.0,14.0,42.0,961.0,283.0,2020-03-31 04:38:27+00:00,0.4.6,12.0,High level network definitions with pre-trained weights in TensorFlow.,29.0,27.0,6.0,20,https://pypi.org/project/tensornets,2020-03-31 04:35:15+00:00,2.0,253.0,253.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n525,geoplotlib,andrea-cuttone/geoplotlib,geoplotlib,,,geospatial-data,,https://github.com/andrea-cuttone/geoplotlib,https://github.com/andrea-cuttone/geoplotlib,MIT,2015-02-24 13:13:07+00:00,2020-04-10 20:00:31+00:00,2019-05-06 07:06:50+00:00,141.0,23.0,18.0,884.0,159.0,2016-07-27 14:55:01+00:00,0.3.2,4.0,python toolbox for visualizing geographical data and making maps.,93.0,84.0,8.0,20,https://pypi.org/project/geoplotlib,2016-07-27 14:55:01+00:00,9.0,1624.0,1624.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n526,Fiber,uber/fiber,fiber,,,distributed-ml,,https://github.com/uber/fiber,https://github.com/uber/fiber,Apache-2.0,2020-01-07 18:16:24+00:00,2020-10-06 14:39:41+00:00,2020-10-06 14:39:12+00:00,84.0,11.0,5.0,822.0,60.0,2020-07-09 03:28:28+00:00,0.2.1,6.0,Distributed Computing for AI Made Simple.,18.0,17.0,5.0,20,https://pypi.org/project/fiber,2020-07-09 03:28:28+00:00,1.0,2249.0,2249.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n527,Haiku,deepmind/dm-haiku,,,,ml-frameworks,,https://github.com/deepmind/dm-haiku,https://github.com/deepmind/dm-haiku,Apache-2.0,2020-02-18 07:14:02+00:00,2020-11-26 10:32:07+00:00,2020-11-26 10:31:28+00:00,55.0,18.0,41.0,809.0,415.0,2020-11-24 11:25:05+00:00,0.0.3,5.0,JAX-based neural network library.,44.0,44.0,32.0,20,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n528,advertorch,BorealisAI/advertorch,advertorch,,,adversarial,['pytorch'],https://github.com/BorealisAI/advertorch,https://github.com/BorealisAI/advertorch,GPL-3.0,2018-11-29 22:17:33+00:00,2020-09-25 15:01:47+00:00,2020-06-15 01:16:18+00:00,115.0,13.0,28.0,758.0,270.0,2020-06-15 01:20:07+00:00,0.2.3,10.0,A Toolbox for Adversarial Robustness Research.,30.0,27.0,16.0,20,https://pypi.org/project/advertorch,2020-06-15 01:20:07+00:00,3.0,5921.0,5921.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n529,tf-explain,sicara/tf-explain,tf-explain,,,interpretability,['tensorflow'],https://github.com/sicara/tf-explain,https://github.com/sicara/tf-explain,MIT,2019-07-15 08:26:24+00:00,2020-11-03 07:30:20+00:00,2020-07-24 08:03:58+00:00,66.0,33.0,41.0,739.0,192.0,2020-02-14 09:00:00+00:00,0.2.1,6.0,Interpretability Methods for tf.keras models with Tensorflow 2.x.,56.0,55.0,11.0,20,https://pypi.org/project/tf-explain,2020-02-14 09:04:51+00:00,1.0,880.0,880.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n530,iNNvestigate,albermax/innvestigate,innvestigate,,,interpretability,['keras'],https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20+00:00,2020-11-14 11:35:59+00:00,2020-10-16 15:26:56+00:00,168.0,71.0,124.0,723.0,882.0,2019-03-19 14:31:31+00:00,1.0.9,2.0,A toolbox to iNNvestigate neural networks' predictions!.,40.0,39.0,19.0,20,https://pypi.org/project/innvestigate,2020-11-14 11:35:59+00:00,1.0,535.0,535.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n531,keras-ocr,faustomorales/keras-ocr,keras-ocr,,,ocr,,https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50+00:00,2020-11-26 17:19:39+00:00,2020-11-26 17:18:25+00:00,158.0,25.0,94.0,713.0,161.0,2020-11-26 17:19:39+00:00,0.8.6,26.0,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,1.0,,9.0,20,https://pypi.org/project/keras-ocr,2020-11-26 17:19:39+00:00,1.0,1942.0,5868.0,,,,True,3,7852.0,,,,,,,,,,,,,,,,,,,,,,\n532,YouTokenToMe,vkcom/youtokentome,youtokentome,,,nlp,,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28+00:00,2020-10-01 23:24:11+00:00,2020-02-13 09:49:37+00:00,42.0,22.0,19.0,692.0,76.0,2020-02-13 09:57:47+00:00,1.0.6,14.0,Unsupervised text tokenizer focused on computational efficiency.,92.0,86.0,6.0,20,https://pypi.org/project/youtokentome,2020-02-12 18:24:46+00:00,6.0,7207.0,7207.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n533,Opacus,pytorch/opacus,opacus,,,privacy-ml,['pytorch'],https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09+00:00,2020-11-27 12:13:30+00:00,2020-11-27 12:10:26+00:00,83.0,9.0,42.0,658.0,184.0,2020-11-21 20:55:19+00:00,0.10.1,5.0,Training PyTorch models with differential privacy.,7.0,7.0,23.0,20,https://pypi.org/project/opacus,2020-11-21 20:55:50+00:00,,953.0,957.0,,,,True,3,26.0,,,,,,,,,,,,,,,,,,,,,,\n534,NeuPy,itdxer/neupy,neupy,,,ml-frameworks,,https://github.com/itdxer/neupy,https://github.com/itdxer/neupy,MIT,2015-08-24 19:45:11+00:00,2020-01-15 08:04:33+00:00,2019-09-02 19:02:38+00:00,142.0,26.0,229.0,652.0,1145.0,2019-04-04 19:44:59+00:00,0.8.2,34.0,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,106.0,96.0,6.0,20,https://pypi.org/project/neupy,2019-04-04 19:43:06+00:00,10.0,799.0,799.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n535,mlens,flennerhag/mlens,mlens,,,others,,https://github.com/flennerhag/mlens,https://github.com/flennerhag/mlens,MIT,2017-01-10 20:53:47+00:00,2020-02-25 14:32:48+00:00,2020-02-25 14:31:53+00:00,79.0,8.0,73.0,652.0,879.0,2018-10-30 22:34:35+00:00,0.2.3,14.0,ML-Ensemble high performance ensemble learning.,91.0,91.0,7.0,20,https://pypi.org/project/mlens,2018-10-30 22:30:43+00:00,,5289.0,5289.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n536,NearPy,pixelogik/NearPy,NearPy,,,nn-search,,https://github.com/pixelogik/NearPy,https://github.com/pixelogik/NearPy,MIT,2013-04-25 09:10:26+00:00,2020-02-17 20:24:08+00:00,2018-10-21 17:54:28+00:00,132.0,21.0,38.0,651.0,159.0,2016-09-27 13:04:44+00:00,1.0.0,8.0,\"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..\",61.0,46.0,18.0,20,https://pypi.org/project/NearPy,2016-09-27 13:03:12+00:00,15.0,1999.0,1999.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n537,TensorBoard Logger,TeamHG-Memex/tensorboard_logger,tensorboard_logger,,,ml-experiments,,https://github.com/TeamHG-Memex/tensorboard_logger,https://github.com/TeamHG-Memex/tensorboard_logger,MIT,2016-10-27 14:02:25+00:00,2020-10-27 20:51:06+00:00,2019-10-21 07:52:07+00:00,53.0,9.0,15.0,608.0,46.0,2018-02-08 07:28:51+00:00,0.1.0,5.0,Log TensorBoard events without touching TensorFlow.,42.0,,5.0,20,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51+00:00,42.0,52443.0,52443.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n538,pdpipe,pdpipe/pdpipe,pdpipe,,,data-pipelines,,https://github.com/pdpipe/pdpipe,https://github.com/pdpipe/pdpipe,MIT,2017-01-24 20:37:22+00:00,2020-11-17 08:57:21+00:00,2020-11-17 08:57:20+00:00,28.0,6.0,14.0,572.0,341.0,2020-11-09 09:32:37+00:00,0.0.53,49.0,Easy pipelines for pandas DataFrames.,21.0,21.0,8.0,20,https://pypi.org/project/pdpipe,2020-11-09 09:32:37+00:00,,885.0,885.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n539,Mapbox GL,mapbox/mapboxgl-jupyter,mapboxgl,,,geospatial-data,['jupyter'],https://github.com/mapbox/mapboxgl-jupyter,https://github.com/mapbox/mapboxgl-jupyter,MIT,2017-08-08 15:10:51+00:00,2019-12-13 22:49:07+00:00,2019-12-03 21:57:25+00:00,111.0,29.0,67.0,545.0,220.0,2019-06-03 21:24:10+00:00,0.10.2,20.0,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,94.0,78.0,20.0,20,https://pypi.org/project/mapboxgl,2019-06-02 15:18:57+00:00,16.0,7487.0,7487.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n540,gazpacho,maxhumber/gazpacho,gazpacho,,,web-scraping,,https://github.com/maxhumber/gazpacho,https://github.com/maxhumber/gazpacho,MIT,2019-09-23 20:21:55+00:00,2020-10-31 18:03:20+00:00,2020-10-31 18:03:19+00:00,44.0,3.0,29.0,485.0,142.0,2020-10-09 12:51:41+00:00,1.1,18.0,\"The simple, fast, and modern web scraping library.\",71.0,69.0,13.0,20,https://pypi.org/project/gazpacho,2020-09-24 17:50:19+00:00,2.0,1099.0,1099.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n541,HpBandSter,automl/HpBandSter,hpbandster,,,hyperopt,,https://github.com/automl/HpBandSter,https://github.com/automl/HpBandSter,BSD-3-Clause,2017-12-17 20:28:20+00:00,2020-09-06 09:54:54+00:00,2019-03-26 09:26:28+00:00,90.0,42.0,34.0,424.0,187.0,2019-07-30 12:47:43+00:00,1.0,6.0,a distributed Hyperband implementation on Steroids.,104.0,96.0,10.0,20,https://pypi.org/project/hpbandster,2018-10-24 09:31:01+00:00,8.0,6812.0,6812.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n542,pivottablejs,nicolaskruchten/jupyter_pivottablejs,pivottablejs,,,data-viz,['jupyter'],https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,MIT,2015-09-09 13:39:18+00:00,2018-12-04 14:43:26+00:00,2018-12-04 14:43:25+00:00,53.0,16.0,37.0,403.0,32.0,2018-01-15 18:14:37+00:00,0.9.0,10.0,\"Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js.\",140.0,126.0,3.0,20,https://pypi.org/project/pivottablejs,2018-01-15 18:14:37+00:00,14.0,8988.0,8988.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n543,Studio.ml,studioml/studio,studioml,,,ml-experiments,,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28+00:00,2020-11-24 22:10:02+00:00,2020-11-19 20:43:12+00:00,47.0,56.0,187.0,365.0,2297.0,2020-11-19 23:30:00+00:00,0.0.35,165.0,Studio: Simplify and expedite model building process.,2.0,2.0,21.0,20,https://pypi.org/project/studioml,2020-11-19 23:30:00+00:00,,826.0,826.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n544,PyWaffle,gyli/PyWaffle,pywaffle,,,data-viz,,https://github.com/gyli/PyWaffle,https://github.com/gyli/PyWaffle,MIT,2017-11-14 20:03:47+00:00,2020-07-26 23:22:17+00:00,2020-07-26 23:22:13+00:00,58.0,2.0,10.0,360.0,249.0,2020-07-26 19:16:45+00:00,0.6.1,22.0,Make Waffle Charts in Python.,34.0,34.0,6.0,20,https://pypi.org/project/pywaffle,2020-07-26 19:16:45+00:00,,1507.0,1507.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n545,BioPandas,rasbt/biopandas,biopandas,conda-forge/biopandas,,others,['pandas'],https://github.com/rasbt/biopandas,https://github.com/rasbt/biopandas,BSD-3-Clause,2015-11-21 00:00:14+00:00,2020-11-09 18:19:23+00:00,2020-11-09 18:19:22+00:00,73.0,16.0,18.0,303.0,142.0,2020-08-04 13:52:27+00:00,0.2.7,11.0,Working with molecular structures in pandas DataFrames.,47.0,44.0,7.0,20,https://pypi.org/project/biopandas,2020-08-04 13:49:59+00:00,3.0,289.0,289.0,https://anaconda.org/conda-forge/biopandas,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n546,MedPy,loli/medpy,MedPy,,,medical-data,,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34+00:00,2020-05-01 15:25:39+00:00,2020-05-01 15:25:38+00:00,105.0,8.0,65.0,302.0,324.0,2019-02-14 17:12:59+00:00,0.4.0,6.0,Medical image processing in Python.,201.0,194.0,13.0,20,https://pypi.org/project/MedPy,2019-02-14 17:12:59+00:00,7.0,3148.0,3148.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n547,Labml,lab-ml/labml,labml,,,ml-experiments,,https://github.com/lab-ml/labml,https://github.com/lab-ml/labml,MIT,2018-11-16 09:34:48+00:00,2020-11-28 05:22:34+00:00,2020-11-28 05:22:27+00:00,24.0,,6.0,288.0,815.0,2020-11-19 10:48:57+00:00,0.4.62,43.0,Monitor PyTorch & TensorFlow model training on mobile phones.,15.0,15.0,5.0,20,https://pypi.org/project/labml,2020-11-19 10:48:57+00:00,0.0,597.0,597.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n548,sklearn-evaluation,edublancas/sklearn-evaluation,sklearn-evaluation,,,interpretability,['sklearn'],https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2015-09-04 16:33:42+00:00,2020-10-02 22:37:35+00:00,2020-10-02 21:51:08+00:00,25.0,7.0,27.0,285.0,452.0,2020-10-02 21:56:34+00:00,0.5.2,14.0,\"scikit-learn model evaluation made easy: plots, tables and markdown reports.\",26.0,24.0,5.0,20,https://pypi.org/project/sklearn-evaluation,2020-10-02 21:54:56+00:00,2.0,421.0,421.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n549,Submit it,facebookincubator/submitit,submitit,conda-forge/submitit,,distributed-ml,,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09+00:00,2020-11-30 17:06:45+00:00,2020-11-26 09:58:55+00:00,15.0,8.0,11.0,259.0,31.0,2020-11-19 12:53:49+00:00,1.1.4,7.0,Python 3.6+ toolbox for submitting jobs to Slurm.,57.0,57.0,8.0,20,https://pypi.org/project/submitit,2020-11-19 12:53:49+00:00,0.0,1430.0,1430.0,https://anaconda.org/conda-forge/submitit,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n550,AutoViz,AutoViML/AutoViz,autoviz,,,data-viz,,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06+00:00,2020-11-20 19:28:28+00:00,2020-11-20 19:21:34+00:00,53.0,3.0,15.0,255.0,93.0,2020-11-20 17:07:13+00:00,0.0.79,25.0,\"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..\",21.0,21.0,10.0,20,https://pypi.org/project/autoviz,2020-11-20 19:28:28+00:00,,1429.0,1429.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n551,recmetrics,statisticianinstilettos/recmetrics,recmetrics,,,recommender-systems,,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49+00:00,2020-11-25 09:38:32+00:00,2020-04-04 21:12:04+00:00,52.0,7.0,3.0,214.0,176.0,2019-02-10 16:12:38+00:00,0.0.9,11.0,A library of metrics for evaluating recommender systems.,12.0,12.0,10.0,20,https://pypi.org/project/recmetrics,2019-02-10 16:12:38+00:00,,1397.0,1397.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n552,StaticFrame,InvestmentSystems/static-frame,static-frame,conda-forge/static-frame,,data-containers,,https://github.com/InvestmentSystems/static-frame,https://github.com/InvestmentSystems/static-frame,MIT,2018-01-03 15:07:52+00:00,2020-11-23 18:58:43+00:00,2020-11-23 18:58:33+00:00,20.0,25.0,223.0,204.0,2073.0,2020-11-12 21:14:09+00:00,0.7.6,89.0,\"The StaticFrame library defines the Series and Frame, immutable data structures for one- and two-dimensional..\",4.0,4.0,14.0,20,https://pypi.org/project/static-frame,2020-11-12 21:12:23+00:00,,2445.0,2445.0,https://anaconda.org/conda-forge/static-frame,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n553,stop-words,Alir3z4/python-stop-words,stop-words,,,nlp,,https://github.com/Alir3z4/python-stop-words,https://github.com/Alir3z4/python-stop-words,BSD-3-Clause,2014-05-26 06:44:03+00:00,2019-10-16 15:01:43+00:00,2018-07-23 21:04:09+00:00,18.0,3.0,9.0,119.0,90.0,2018-07-23 20:58:34+00:00,2018.7.23,8.0,Get list of common stop words in various languages in Python.,1196.0,992.0,8.0,20,https://pypi.org/project/stop-words,2018-07-23 20:55:55+00:00,204.0,46200.0,46200.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n554,cortex,cortexlabs/cortex,,,,model-serialisation,,https://github.com/cortexlabs/cortex,https://github.com/cortexlabs/cortex,Apache-2.0,2019-01-24 04:43:14+00:00,2020-11-28 05:15:04+00:00,2020-11-26 21:46:53+00:00,523.0,202.0,605.0,6874.0,1654.0,2020-11-25 00:35:02+00:00,0.23.0,40.0,Deploy machine learning models to production.,,,16.0,19,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n555,MindsDB,mindsdb/mindsdb,mindsdb,,,ml-frameworks,['pytorch'],https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,GPL-3.0,2018-08-02 17:56:45+00:00,2020-11-30 15:41:01+00:00,2020-11-23 21:50:17+00:00,397.0,36.0,443.0,3052.0,,2020-11-23 22:24:06+00:00,test_release_take_5,42.0,Predictive AI layer for existing databases.,3.0,,53.0,19,https://pypi.org/project/mindsdb,2019-03-19 05:07:23+00:00,3.0,1314.0,1314.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n556,MMLSpark,Azure/mmlspark,,,,distributed-ml,['spark'],https://github.com/Azure/mmlspark,https://github.com/Azure/mmlspark,MIT,2017-06-05 08:23:44+00:00,2020-11-25 15:58:28+00:00,2020-11-25 15:58:26+00:00,467.0,171.0,211.0,2198.0,759.0,2020-10-02 19:36:01+00:00,1.0.0-rc3,17.0,Microsoft Machine Learning for Apache Spark.,,,61.0,19,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n557,Coach,IntelLabs/coach,rl_coach,,,reinforcement-learning,,https://github.com/IntelLabs/coach,https://github.com/IntelLabs/coach,Apache-2.0,2017-10-01 19:27:43+00:00,2020-11-09 08:25:06+00:00,2020-11-09 08:25:05+00:00,374.0,80.0,181.0,1868.0,511.0,2019-10-10 14:17:10+00:00,1.0.1,13.0,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,1.0,,34.0,19,https://pypi.org/project/rl_coach,2019-10-10 14:17:10+00:00,1.0,95.0,95.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n558,cuML,rapidsai/cuml,cuml,,,gpu-utilities,,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35+00:00,2020-11-30 17:43:00+00:00,2020-11-30 15:42:35+00:00,290.0,629.0,815.0,1798.0,,2020-10-21 19:55:05+00:00,0.16.0,4.0,cuML - RAPIDS Machine Learning Library.,,,116.0,19,https://pypi.org/project/cuml,2019-04-11 16:57:48+00:00,,454.0,454.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n559,Hummingbird,microsoft/hummingbird,hummingbird-ml,,,model-serialisation,,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03+00:00,2020-11-28 22:17:02+00:00,2020-11-18 01:25:57+00:00,140.0,45.0,117.0,1793.0,,2020-10-30 21:47:05+00:00,0.1.0,7.0,Hummingbird compiles trained ML models into tensor computation for faster inference.,12.0,12.0,16.0,19,https://pypi.org/project/hummingbird-ml,2020-10-30 21:45:47+00:00,,627.0,640.0,,,,True,3,78.0,,,,,,,,,,,,,,,,,,,,,,\n560,riko,nerevu/riko,riko,,,data-pipelines,,https://github.com/nerevu/riko,https://github.com/nerevu/riko,MIT,2016-06-02 12:22:51+00:00,2020-08-14 18:29:28+00:00,2020-08-14 16:47:45+00:00,70.0,22.0,8.0,1542.0,1257.0,2020-08-14 18:29:28+00:00,0.66.0,58.0,A Python stream processing engine modeled after Yahoo! Pipes.,1.0,,18.0,19,https://pypi.org/project/riko,2020-08-14 18:29:28+00:00,1.0,471.0,471.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n561,HiPlot,facebookresearch/hiplot,hiplot,conda-forge/hiplot,,data-viz,,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41+00:00,2020-11-30 11:40:56+00:00,2020-11-30 11:30:17+00:00,79.0,4.0,41.0,1447.0,101.0,2020-11-27 09:52:56+00:00,0.1.21,32.0,HiPlot makes understanding high dimensional data easy.,2.0,2.0,4.0,19,https://pypi.org/project/hiplot,2020-11-30 11:40:56+00:00,,3160.0,3160.0,https://anaconda.org/conda-forge/hiplot,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n562,ThunderSVM,Xtra-Computing/thundersvm,thundersvm,,,ml-frameworks,,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04+00:00,2020-07-22 10:25:11+00:00,2020-06-07 07:16:27+00:00,162.0,44.0,141.0,1239.0,892.0,2020-03-13 12:36:30+00:00,0.3.12,9.0,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,,,32.0,19,https://pypi.org/project/thundersvm,2020-03-13 12:36:30+00:00,,340.0,382.0,,,,True,3,2017.0,,,,,,,,,,,,,,,,,,,,,,\n563,doc2text,jlsutherland/doc2text,doc2text,,,ocr,,https://github.com/jlsutherland/doc2text,https://github.com/jlsutherland/doc2text,MIT,2016-08-28 19:30:02+00:00,2020-09-30 19:54:12+00:00,2018-09-28 20:55:09+00:00,91.0,12.0,9.0,1222.0,61.0,2016-09-06 21:59:21+00:00,0.2.4,5.0,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,31.0,31.0,5.0,19,https://pypi.org/project/doc2text,2016-09-06 21:59:21+00:00,,298.0,298.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n564,DLTK,DLTK/DLTK,dltk,,,medical-data,['tensorflow'],https://github.com/DLTK/DLTK,https://github.com/DLTK/DLTK,Apache-2.0,2017-05-02 15:40:36+00:00,2020-11-13 17:17:16+00:00,2019-01-21 14:01:28+00:00,375.0,7.0,24.0,1221.0,379.0,,,5.0,Deep Learning Toolkit for Medical Image Analysis.,17.0,17.0,9.0,19,https://pypi.org/project/dltk,2018-02-26 17:43:57+00:00,,121.0,121.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n565,Sweetviz,fbdesignpro/sweetviz,sweetviz,,,data-viz,,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47+00:00,2020-11-30 16:19:14+00:00,2020-11-30 16:19:11+00:00,129.0,20.0,40.0,1133.0,73.0,2020-11-30 15:31:01+00:00,2.0.2,20.0,\"Visualize and compare datasets, target values and associations, with one line of code.\",,,6.0,19,https://pypi.org/project/sweetviz,2020-11-30 16:14:08+00:00,,5424.0,5424.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n566,TaskTiger,closeio/tasktiger,tasktiger,,,data-pipelines,,https://github.com/closeio/tasktiger,https://github.com/closeio/tasktiger,MIT,2015-05-14 00:26:32+00:00,2020-10-24 12:20:11+00:00,2020-06-18 22:03:53+00:00,58.0,30.0,31.0,1031.0,247.0,2019-10-29 19:32:58+00:00,0.10.1,22.0,Python task queue using Redis.,28.0,19.0,19.0,19,https://pypi.org/project/tasktiger,2020-06-18 22:08:56+00:00,9.0,292.0,292.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n567,Skater,oracle/Skater,skater,,,interpretability,,https://github.com/oracle/Skater,https://github.com/oracle/Skater,UPL-1.0,2017-01-26 05:45:42+00:00,2020-06-29 20:07:14+00:00,2020-06-29 20:07:12+00:00,156.0,62.0,97.0,949.0,1101.0,2018-09-21 07:03:32+00:00,1.1.2,23.0,Python Library for Model Interpretation/Explanations.,,,34.0,19,https://pypi.org/project/skater,2018-09-21 07:03:32+00:00,,6595.0,6595.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n568,gplearn,trevorstephens/gplearn,gplearn,,,others,['sklearn'],https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14+00:00,2020-02-15 08:12:38+00:00,2020-02-15 08:12:17+00:00,146.0,25.0,114.0,889.0,146.0,2019-06-01 02:04:52+00:00,0.4.1,5.0,\"Genetic Programming in Python, with a scikit-learn inspired API.\",118.0,111.0,10.0,19,https://pypi.org/project/gplearn,2019-06-01 02:04:52+00:00,7.0,1419.0,1419.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n569,Databolt Flow,d6t/d6tflow,d6tflow,,,data-pipelines,,https://github.com/d6t/d6tflow,https://github.com/d6t/d6tflow,MIT,2019-02-03 01:51:22+00:00,2020-11-30 11:42:27+00:00,2020-10-23 19:54:14+00:00,62.0,5.0,11.0,883.0,77.0,2020-10-19 04:14:45+00:00,0.2.1,18.0,Python library for building highly effective data science workflows.,12.0,12.0,7.0,19,https://pypi.org/project/d6tflow,2020-10-19 04:14:45+00:00,,196.0,196.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n570,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,pytorch_toolbelt,,,pytorch-utils,['pytorch'],https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49+00:00,2020-11-21 20:34:12+00:00,2020-11-21 20:33:55+00:00,69.0,2.0,13.0,856.0,489.0,2020-08-19 10:27:31+00:00,0.4.0,18.0,PyTorch extensions for fast R&D prototyping and Kaggle farming.,1.0,,4.0,19,https://pypi.org/project/pytorch_toolbelt,2020-08-19 10:33:17+00:00,1.0,1319.0,1319.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n571,Paddle Graph Learning,PaddlePaddle/PGL,pgl,,,graph,['paddle'],https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28+00:00,2020-11-28 01:59:15+00:00,2020-11-28 01:59:14+00:00,100.0,14.0,26.0,812.0,349.0,2020-11-20 06:23:47+00:00,1.2.1,6.0,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,7.0,6.0,17.0,19,https://pypi.org/project/pgl,2020-11-20 06:23:47+00:00,1.0,728.0,728.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n572,TensorFrames,databricks/tensorframes,tensorframes,,,distributed-ml,\"['tensorflow', 'spark']\",https://github.com/databricks/tensorframes,https://github.com/databricks/tensorframes,Apache-2.0,2016-03-04 19:25:19+00:00,2020-11-13 17:47:02+00:00,2019-11-15 21:43:53+00:00,160.0,51.0,43.0,768.0,221.0,2018-11-16 20:50:02+00:00,0.6.0,6.0,[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark.,,,16.0,19,https://pypi.org/project/tensorframes,2018-05-16 14:20:28+00:00,,7206.0,7206.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n573,Test Tube,williamFalcon/test-tube,test_tube,,,hyperopt,,https://github.com/williamFalcon/test-tube,https://github.com/williamFalcon/test-tube,MIT,2017-09-06 02:14:57+00:00,2020-04-11 20:36:36+00:00,2020-03-17 22:44:47+00:00,59.0,21.0,21.0,635.0,642.0,2019-12-01 00:47:35+00:00,0.7.4,53.0,Python library to easily log experiments and parallelize hyperparameter search for neural networks.,5.0,,16.0,19,https://pypi.org/project/test_tube,2018-12-12 22:45:59+00:00,5.0,8799.0,8799.0,,,,True,3,6.0,,,,,,,,,,,,,,,,,,,,,,\n574,finetune,IndicoDataSolutions/finetune,finetune,,,nlp,\"['tensorflow', 'sklearn']\",https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16+00:00,2020-11-24 13:38:56+00:00,2020-11-24 13:38:51+00:00,68.0,18.0,115.0,628.0,1201.0,2019-11-07 19:42:32+00:00,0.8.6,37.0,Scikit-learn style model finetuning for NLP.,9.0,7.0,18.0,19,https://pypi.org/project/finetune,2020-01-10 22:42:24+00:00,2.0,196.0,196.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n575,vecstack,vecxoz/vecstack,vecstack,,,others,,https://github.com/vecxoz/vecstack,https://github.com/vecxoz/vecstack,MIT,2016-11-08 13:23:21+00:00,2020-09-14 08:31:07+00:00,2019-10-30 09:27:48+00:00,67.0,,34.0,570.0,189.0,2019-08-12 16:09:01+00:00,0.4.0,6.0,Python package for stacking (machine learning technique).,94.0,90.0,1.0,19,https://pypi.org/project/vecstack,2019-08-12 16:01:22+00:00,4.0,988.0,988.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n576,pyhsmm,mattjj/pyhsmm,pyhsmm,,,probabilistics,,https://github.com/mattjj/pyhsmm,https://github.com/mattjj/pyhsmm,MIT,2012-03-18 17:40:13+00:00,2020-09-29 20:58:26+00:00,2020-08-24 17:03:59+00:00,145.0,32.0,60.0,472.0,1426.0,2017-05-10 17:14:37+00:00,0.1.7,8.0,Bayesian inference in HSMMs and HMMs.,21.0,17.0,13.0,19,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37+00:00,4.0,52.0,52.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n577,Poutyne,GRAAL-Research/poutyne,poutyne,,,pytorch-utils,['pytorch'],https://github.com/GRAAL-Research/poutyne,https://github.com/GRAAL-Research/poutyne,LGPL-3.0,2017-12-07 18:30:17+00:00,2020-11-27 22:19:43+00:00,2020-11-14 18:40:00+00:00,47.0,12.0,33.0,403.0,449.0,2020-11-14 19:02:29+00:00,1.1,17.0,A simplified framework and utilities for PyTorch.,45.0,43.0,14.0,19,https://pypi.org/project/poutyne,2020-11-14 18:24:19+00:00,2.0,457.0,457.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n578,seglearn,dmbee/seglearn,seglearn,,,time-series-data,,https://github.com/dmbee/seglearn,https://github.com/dmbee/seglearn,BSD-3-Clause,2018-03-05 20:53:59+00:00,2020-11-08 14:51:01+00:00,2020-11-08 14:45:42+00:00,45.0,6.0,17.0,401.0,264.0,2020-04-02 15:26:06+00:00,1.2.1,20.0,Python module for machine learning time series:.,7.0,6.0,13.0,19,https://pypi.org/project/seglearn,2020-04-02 15:26:06+00:00,1.0,3488.0,3488.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n579,What-If Tool,PAIR-code/what-if-tool,witwidget,,,interpretability,,https://github.com/PAIR-code/what-if-tool,https://github.com/PAIR-code/what-if-tool,Apache-2.0,2018-09-07 20:26:10+00:00,2020-11-09 15:54:11+00:00,2020-11-09 15:54:10+00:00,82.0,36.0,29.0,388.0,287.0,2020-06-28 14:23:49.040000+00:00,1.7.0,36.0,Source code/webpage/demos for the What-If Tool.,,,18.0,19,https://pypi.org/project/witwidget,2020-06-28 14:22:37+00:00,,2720.0,4548.0,,,,True,3,,,,,,,,,wit-widget,https://www.npmjs.com/package/wit-widget,2020-11-03 16:28:21.255000+00:00,,1828.0,,,,,,,,,,\n580,Feature Engine,solegalli/feature_engine,feature_engine,conda-forge/feature_engine,,others,,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2018-12-31 01:47:18+00:00,2020-11-30 16:20:53+00:00,2020-11-27 11:22:48+00:00,117.0,25.0,57.0,382.0,86.0,2020-09-21 11:05:42+00:00,0.6.1,22.0,Feature engineering package with sklearn like functionality.,1.0,,17.0,19,https://pypi.org/project/feature_engine,2020-09-21 11:05:42+00:00,1.0,17423.0,17423.0,https://anaconda.org/conda-forge/feature_engine,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n581,MXBoard,awslabs/mxboard,mxboard,,,ml-experiments,['mxnet'],https://github.com/awslabs/mxboard,https://github.com/awslabs/mxboard,Apache-2.0,2018-02-06 23:03:51+00:00,2020-01-24 23:21:56+00:00,2020-01-24 23:21:55+00:00,45.0,16.0,15.0,329.0,42.0,2018-05-22 20:25:51+00:00,0.1.0,12.0,Logging MXNet data for visualization in TensorBoard.,85.0,84.0,9.0,19,https://pypi.org/project/mxboard,2018-05-22 20:25:51+00:00,1.0,3335.0,3335.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n582,Sherpa,sherpa-ai/sherpa,parameter-sherpa,,,hyperopt,,https://github.com/sherpa-ai/sherpa,https://github.com/sherpa-ai/sherpa,GPL-3.0,2018-05-16 21:41:54+00:00,2020-10-18 07:57:50+00:00,2020-10-18 07:57:48+00:00,40.0,11.0,40.0,275.0,823.0,2020-07-31 05:29:09+00:00,1.0.7,8.0,\"Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.\",8.0,7.0,41.0,19,https://pypi.org/project/parameter-sherpa,2019-11-23 21:32:27+00:00,1.0,879.0,879.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n583,textpipe,textpipe/textpipe,textpipe,,,nlp,,https://github.com/textpipe/textpipe,https://github.com/textpipe/textpipe,MIT,2018-06-21 16:23:32+00:00,2020-11-30 07:49:11+00:00,2020-10-12 08:19:03+00:00,17.0,20.0,24.0,260.0,366.0,2020-10-12 08:24:19+00:00,0.12.1,38.0,Textpipe: clean and extract metadata from text.,7.0,6.0,27.0,19,https://pypi.org/project/textpipe,2020-10-12 08:24:19+00:00,1.0,435.0,435.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n584,PyKEEN,SmartDataAnalytics/PyKEEN,pykeen,,,graph,,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2018-06-06 15:00:23+00:00,2020-11-30 17:25:09+00:00,2020-11-27 20:26:47+00:00,37.0,35.0,40.0,255.0,2217.0,2020-10-21 11:59:14+00:00,1.0.5,31.0,A Python library for learning and evaluating knowledge graph embeddings.,1.0,,17.0,19,https://pypi.org/project/pykeen,2020-08-25 14:33:23+00:00,1.0,185.0,190.0,,,,True,3,25.0,,,,,,,,,,,,,,,,,,,,,,\n585,pyfasttext,vrasneur/pyfasttext,pyfasttext,,,nlp,,https://github.com/vrasneur/pyfasttext,https://github.com/vrasneur/pyfasttext,GPL-3.0,2017-06-30 18:44:42+00:00,2018-12-08 15:32:09+00:00,2018-12-08 15:02:12+00:00,31.0,19.0,28.0,230.0,153.0,2018-12-08 15:02:54+00:00,0.4.6,13.0,Yet another Python binding for fastText.,130.0,125.0,4.0,19,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09+00:00,5.0,1893.0,1900.0,,,,False,3,304.0,,,,,,,,,,,,,,,,,,,,,,\n586,Brainiak,brainiak/brainiak,brainiak,,,medical-data,,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27+00:00,2020-10-15 21:11:03.379549+00:00,2020-10-15 16:28:46+00:00,105.0,62.0,117.0,224.0,388.0,2019-08-27 23:52:29+00:00,0.9.1,15.0,Brain Imaging Analysis Kit.,12.0,11.0,32.0,19,https://pypi.org/project/brainiak,2020-10-15 20:45:08+00:00,1.0,125.0,132.0,,,,True,3,,,,brainiak/brainiak,https://hub.docker.com/r/brainiak/brainiak,2020-10-15 21:11:03.379549+00:00,1.0,428.0,,,,,,,,,,,,,,,\n587,fletcher,xhochy/fletcher,fletcher,,,data-containers,,https://github.com/xhochy/fletcher,https://github.com/xhochy/fletcher,MIT,2018-03-04 16:44:22+00:00,2020-11-29 21:29:30+00:00,2020-11-24 08:35:21+00:00,30.0,32.0,39.0,201.0,492.0,2020-10-20 11:29:04+00:00,0.6.2,13.0,Pandas ExtensionDType/Array backed by Apache Arrow.,1.0,1.0,23.0,19,https://pypi.org/project/fletcher,2020-10-20 11:29:04+00:00,,209.0,210.0,,,,True,3,11.0,,,,,,,,,,,,,,,,,,,,,,\n588,graph-nets,deepmind/graph_nets,graph-nets,,,graph,['tensorflow'],https://github.com/deepmind/graph_nets,https://github.com/deepmind/graph_nets,Apache-2.0,2018-08-31 08:19:28+00:00,2020-08-28 09:49:03+00:00,2020-08-28 09:49:01+00:00,697.0,13.0,99.0,4667.0,45.0,2020-01-29 16:00:25+00:00,1.1.0,7.0,Build Graph Nets in Tensorflow.,7.0,,10.0,18,https://pypi.org/project/graph-nets,2020-01-29 16:00:25+00:00,7.0,841.0,841.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n589,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,torchbiggraph,,,graph,['pytorch'],https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16+00:00,2020-11-13 19:52:17+00:00,2020-11-13 19:52:08+00:00,356.0,26.0,95.0,2581.0,138.0,2019-10-14 16:45:11+00:00,1.0.0,3.0,Generate embeddings from large-scale graph-structured data.,2.0,,18.0,18,https://pypi.org/project/torchbiggraph,2019-05-01 21:31:13+00:00,2.0,348.0,353.0,,,,True,3,96.0,,,,,,,,,,,,,,,,,,,,,,\n590,Crypto Signals,CryptoSignal/crypto-signal,,,,financial-data,,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24+00:00,2020-11-29 20:33:34+00:00,2020-09-03 12:26:48+00:00,621.0,38.0,185.0,2311.0,563.0,,,,\"Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 2,100 + stars, 580 + forks.\",,,25.0,18,,,,,1064.0,,,,True,3,,,,shadowreaver/crypto-signal,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133+00:00,6.0,40433.0,,,,,,,,,,,,,,,\n591,Apache Singa,apache/singa,,nusdbsystem/singa,,distributed-ml,,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05+00:00,2020-11-25 05:45:10+00:00,2020-11-25 05:41:34+00:00,561.0,49.0,32.0,2140.0,2246.0,2020-04-21 08:01:08+00:00,3.0.0,3.0,a distributed deep learning platform.,,,69.0,18,,,,,2.0,https://anaconda.org/nusdbsystem/singa,,,True,3,,,,apache/singa,https://hub.docker.com/r/apache/singa,2019-06-04 04:32:52.195956+00:00,2.0,165.0,,,,,,,,,,,,,,,\n592,DeepWalk,phanein/deepwalk,deepwalk,,,graph,,https://github.com/phanein/deepwalk,https://github.com/phanein/deepwalk,GPL-3.0,2014-08-23 03:38:20+00:00,2020-04-02 01:05:36+00:00,2020-04-02 01:05:35+00:00,743.0,29.0,78.0,2110.0,46.0,2018-04-29 21:05:18+00:00,1.0.3,4.0,DeepWalk - Deep Learning for Graphs.,41.0,34.0,10.0,18,https://pypi.org/project/deepwalk,2018-04-29 21:05:18+00:00,7.0,1010.0,1010.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n593,Mara Pipelines,mara/mara-pipelines,mara-pipelines,,,data-pipelines,,https://github.com/mara/mara-pipelines,https://github.com/mara/mara-pipelines,MIT,2018-03-31 20:37:22+00:00,2020-11-11 17:30:33+00:00,2020-07-31 19:24:31+00:00,76.0,6.0,11.0,1575.0,127.0,2020-07-31 19:31:29+00:00,3.1.1,7.0,\"A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow.\",7.0,7.0,15.0,18,https://pypi.org/project/mara-pipelines,2020-07-31 19:26:16+00:00,,34.0,34.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n594,NeuroNER,Franck-Dernoncourt/NeuroNER,pyneuroner,,,nlp,,https://github.com/Franck-Dernoncourt/NeuroNER,https://github.com/Franck-Dernoncourt/NeuroNER,MIT,2017-03-07 01:24:15+00:00,2020-11-13 18:07:48+00:00,2019-10-02 23:26:11+00:00,440.0,77.0,67.0,1510.0,132.0,2019-10-02 23:30:15+00:00,1.0.8,7.0,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,8.0,8.0,7.0,18,https://pypi.org/project/pyneuroner,2019-10-02 23:30:15+00:00,,102.0,102.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n595,Antialiased CNNs,adobe/antialiased-cnns,antialiased-cnns,,,pytorch-utils,['pytorch'],https://github.com/adobe/antialiased-cnns,https://github.com/adobe/antialiased-cnns,CC BY-NC-SA 4.0,2019-05-14 20:51:25+00:00,2020-10-23 22:45:52+00:00,2020-10-22 19:40:07+00:00,165.0,9.0,28.0,1302.0,238.0,2020-10-23 22:45:52+00:00,0.3,6.0,pip install antialiased-cnns to improve stability and accuracy.,,,6.0,18,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49+00:00,,723.0,723.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n596,Bounter,RaRe-Technologies/bounter,bounter,,,data-containers,,https://github.com/RaRe-Technologies/bounter,https://github.com/RaRe-Technologies/bounter,MIT,2017-07-18 07:24:15+00:00,2020-08-17 06:37:51+00:00,2020-08-16 11:55:16+00:00,48.0,11.0,9.0,886.0,152.0,2019-01-17 09:39:52+00:00,1.1.1,7.0,Efficient Counter that uses a limited (bounded) amount of memory regardless of data size.,34.0,20.0,8.0,18,https://pypi.org/project/bounter,2020-08-17 06:37:51+00:00,14.0,253.0,253.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n597,calamari,Calamari-OCR/calamari,calamari_ocr,,,ocr,,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,Apache-2.0,2018-03-20 15:22:29+00:00,2020-11-29 10:24:07+00:00,2020-11-07 10:36:48+00:00,158.0,17.0,131.0,734.0,259.0,2020-03-29 13:38:21+00:00,1.0.5,22.0,Line based ATR Engine based on OCRopy.,2.0,,17.0,18,https://pypi.org/project/calamari_ocr,2018-11-13 11:24:45+00:00,2.0,717.0,717.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n598,pytorch2keras,nerox8664/pytorch2keras,pytorch2keras,,,model-serialisation,,https://github.com/nerox8664/pytorch2keras,https://github.com/nerox8664/pytorch2keras,MIT,2017-11-16 20:21:43+00:00,2020-05-14 10:03:56+00:00,2020-05-14 10:03:04+00:00,109.0,39.0,65.0,633.0,277.0,2020-05-14 10:03:56+00:00,0.2.4,23.0,PyTorch to Keras model convertor.,15.0,14.0,11.0,18,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56+00:00,1.0,503.0,503.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n599,TabNet,dreamquark-ai/tabnet,pytorch-tabnet,,,pytorch-utils,['pytorch'],https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32+00:00,2020-11-26 15:39:45+00:00,2020-11-07 10:49:17+00:00,114.0,32.0,82.0,613.0,143.0,2020-10-15 21:00:53+00:00,2.0.1,14.0,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,,,15.0,18,https://pypi.org/project/pytorch-tabnet,2020-10-15 21:00:53+00:00,,6467.0,6467.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n600,RecBole,RUCAIBox/RecBole,recbole,aibox/recbole,,recommender-systems,['pytorch'],https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11+00:00,2020-11-29 03:44:10+00:00,2020-11-29 03:42:40+00:00,71.0,15.0,5.0,602.0,2119.0,2020-11-03 16:27:46+00:00,0.1.1,2.0,\"A unified, comprehensive and efficient recommendation library.\",,,20.0,18,https://pypi.org/project/recbole,2020-11-03 16:04:22+00:00,,252.0,252.0,https://anaconda.org/aibox/recbole,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n601,Saliency,PAIR-code/saliency,saliency,,,tensorflow-utils,['tensorflow'],https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35+00:00,2020-10-15 21:38:20+00:00,2020-10-01 22:54:59+00:00,127.0,11.0,10.0,600.0,64.0,2019-09-26 17:59:23+00:00,0.0.5,5.0,\"TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques.\",13.0,13.0,12.0,18,https://pypi.org/project/saliency,2019-09-26 17:59:23+00:00,,167.0,167.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n602,Torchbearer,pytorchbearer/torchbearer,torchbearer,,,ml-frameworks,['pytorch'],https://github.com/pytorchbearer/torchbearer,https://github.com/pytorchbearer/torchbearer,MIT,2018-03-12 16:30:42+00:00,2020-02-17 21:18:06+00:00,2020-02-17 21:18:01+00:00,62.0,8.0,237.0,579.0,427.0,2020-01-31 14:07:22+00:00,0.5.3,24.0,torchbearer: A model fitting library for PyTorch.,40.0,37.0,13.0,18,https://pypi.org/project/torchbearer,2020-01-31 14:05:56+00:00,3.0,390.0,390.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n603,Dragonfly,dragonfly/dragonfly,dragonfly-opt,,,hyperopt,,https://github.com/dragonfly/dragonfly,https://github.com/dragonfly/dragonfly,MIT,2018-04-20 22:19:50+00:00,2020-07-26 17:44:31+00:00,2020-07-03 18:01:17+00:00,70.0,21.0,16.0,546.0,397.0,2020-07-03 18:05:12+00:00,0.1.6,9.0,An open source python library for scalable Bayesian optimisation.,2.0,,12.0,18,https://pypi.org/project/dragonfly-opt,2020-07-03 18:05:12+00:00,2.0,4351.0,4351.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n604,AlphaPy,ScottfreeLLC/AlphaPy,alphapy,,,hyperopt,,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32+00:00,2020-09-06 12:58:26+00:00,2020-09-06 12:58:25+00:00,109.0,10.0,29.0,507.0,407.0,2020-08-29 18:48:20+00:00,2.5.0,24.0,\"Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost.\",2.0,2.0,3.0,18,https://pypi.org/project/alphapy,2020-08-25 23:33:42+00:00,,151.0,151.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n605,PFRL,pfnet/pfrl,pfrl,,,reinforcement-learning,,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50+00:00,2020-11-26 10:54:52+00:00,2020-11-26 05:43:03+00:00,54.0,14.0,16.0,434.0,253.0,2020-07-29 02:03:39+00:00,0.1.0,2.0,PFRL: a PyTorch-based deep reinforcement learning library.,4.0,4.0,8.0,18,https://pypi.org/project/pfrl,2020-07-29 01:14:39+00:00,,714.0,714.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n606,PugSQL,mcfunley/pugsql,pugsql,,,db-clients,,https://github.com/mcfunley/pugsql,https://github.com/mcfunley/pugsql,Apache-2.0,2019-05-19 16:55:38+00:00,2020-09-13 06:06:17+00:00,2020-09-13 06:06:13+00:00,12.0,13.0,19.0,403.0,254.0,2020-09-03 22:44:19+00:00,0.2.2,23.0,A HugSQL-inspired database library for Python.,1.0,,10.0,18,https://pypi.org/project/pugsql,2020-09-13 05:35:42+00:00,1.0,2015.0,2015.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n607,Baal,ElementAI/baal,baal,,,probabilistics,,https://github.com/ElementAI/baal,https://github.com/ElementAI/baal,Apache-2.0,2019-09-30 20:16:26+00:00,2020-11-18 14:46:30+00:00,2020-11-18 14:46:29+00:00,24.0,12.0,21.0,295.0,91.0,2020-11-03 21:14:13+00:00,1.2.1,7.0,Using approximate bayesian posteriors in deep nets for active learning.,6.0,6.0,8.0,18,https://pypi.org/project/baal,2020-11-03 21:07:08+00:00,,275.0,275.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n608,apricot,jmschrei/apricot,apricot-select,,,others,,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12+00:00,2020-09-30 20:53:48+00:00,2020-09-30 20:53:44+00:00,28.0,2.0,10.0,295.0,151.0,2020-09-28 07:19:15+00:00,0.6.0,13.0,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,9.0,9.0,2.0,18,https://pypi.org/project/apricot-select,2020-09-28 07:19:15+00:00,,159.0,159.0,,,,True,3,6.0,,,,,,,,,,,,,,,,,,,,,,\n609,sk-dist,Ibotta/sk-dist,sk-dist,,,distributed-ml,\"['sklearn', 'spark']\",https://github.com/Ibotta/sk-dist,https://github.com/Ibotta/sk-dist,Apache-2.0,2019-08-14 21:07:17+00:00,2020-11-03 22:54:31+00:00,2020-11-03 22:54:27+00:00,40.0,5.0,9.0,248.0,44.0,2020-05-14 22:20:14+00:00,0.1.9,12.0,Distributed scikit-learn meta-estimators in PySpark.,7.0,5.0,5.0,18,https://pypi.org/project/sk-dist,2020-05-14 22:20:14+00:00,2.0,5784.0,5784.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n610,Funsor,pyro-ppl/funsor,funsor,,,probabilistics,['pytorch'],https://github.com/pyro-ppl/funsor,https://github.com/pyro-ppl/funsor,Apache-2.0,2019-01-30 23:13:39+00:00,2020-11-30 09:16:47+00:00,2020-11-30 09:16:45+00:00,15.0,55.0,52.0,154.0,448.0,2020-10-15 15:54:49+00:00,0.3.0,5.0,Functional tensors for probabilistic programming.,7.0,7.0,9.0,18,https://pypi.org/project/funsor,2020-10-15 15:54:49+00:00,,213.0,213.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n611,Glow,projectglow/glow,glow.py,,,medical-data,,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47+00:00,2020-11-30 15:10:18+00:00,2020-11-25 21:18:04+00:00,41.0,22.0,41.0,142.0,289.0,2020-09-10 18:38:52+00:00,0.6.0,9.0,An open-source toolkit for large-scale genomic analysis.,,,11.0,18,https://pypi.org/project/glow.py,2020-09-10 01:15:03+00:00,,1486.0,1486.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n612,Spotlight,maciejkula/spotlight,,maciejkula/spotlight,,recommender-systems,['pytorch'],https://github.com/maciejkula/spotlight,https://github.com/maciejkula/spotlight,MIT,2017-06-25 18:52:19+00:00,2020-11-15 08:21:28+00:00,2020-02-09 21:03:48+00:00,366.0,64.0,48.0,2338.0,299.0,2019-09-08 10:19:53+00:00,0.1.6,7.0,Deep recommender models using PyTorch.,,,11.0,17,,,,,,https://anaconda.org/maciejkula/spotlight,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n613,PaddleDetection,PaddlePaddle/PaddleDetection,,,,image,['paddle'],https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14+00:00,2020-11-30 17:31:54+00:00,2020-11-27 05:14:29+00:00,528.0,225.0,748.0,1896.0,623.0,2019-11-27 05:15:38+00:00,0.1.0,1.0,Object detection and instance segmentation toolkit based on PaddlePaddle.,,,41.0,17,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n614,Advisor,tobegit3hub/advisor,advisor,,,hyperopt,,https://github.com/tobegit3hub/advisor,https://github.com/tobegit3hub/advisor,Apache-2.0,2017-09-14 03:50:33+00:00,2019-11-11 07:09:57.869705+00:00,2019-11-11 06:59:31+00:00,236.0,19.0,13.0,1313.0,165.0,2018-10-18 02:54:09+00:00,0.1.6,4.0,Open-source implementation of Google Vizier for hyper parameters tuning.,,,11.0,17,https://pypi.org/project/advisor,2018-10-18 02:54:09+00:00,,67.0,107.0,,,,True,3,,,,tobegit3hub/advisor,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705+00:00,,1529.0,,,,,,,,,,,,,,,\n615,AdvBox,advboxes/AdvBox,advbox,,,adversarial,,https://github.com/advboxes/AdvBox,https://github.com/advboxes/AdvBox,Apache-2.0,2018-08-08 08:55:41+00:00,2020-11-13 17:59:22+00:00,2020-08-26 22:59:41+00:00,217.0,6.0,25.0,1004.0,374.0,2018-12-05 02:48:50+00:00,0.4.1,2.0,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,,,19.0,17,https://pypi.org/project/advbox,2018-12-05 02:48:50+00:00,,34.0,34.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n616,sklearn-porter,nok/sklearn-porter,sklearn-porter,,,model-serialisation,['sklearn'],https://github.com/nok/sklearn-porter,https://github.com/nok/sklearn-porter,MIT,2016-06-22 22:21:34+00:00,2020-10-19 07:28:00+00:00,2019-12-18 13:31:50+00:00,116.0,34.0,29.0,931.0,699.0,2019-04-15 22:13:06+00:00,0.7.4,20.0,\"Transpile trained scikit-learn estimators to C, Java, JavaScript and others.\",1.0,,11.0,17,https://pypi.org/project/sklearn-porter,2019-12-18 13:39:19+00:00,1.0,377.0,377.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n617,Torch Points 3D,nicolas-chaulet/torch-points3d,torch-points3d,,,image,['pytorch'],https://github.com/nicolas-chaulet/torch-points3d,https://github.com/nicolas-chaulet/torch-points3d,,2019-12-06 11:33:34+00:00,2020-11-29 18:44:18+00:00,2020-11-29 18:44:17+00:00,133.0,41.0,132.0,868.0,1548.0,2020-08-04 09:08:49+00:00,1.1.1,12.0,Pytorch framework for doing deep learning on point clouds.,2.0,2.0,17.0,17,https://pypi.org/project/torch-points3d,2020-08-04 09:08:49+00:00,,222.0,222.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n618,Backtesting.py,kernc/backtesting.py,backtesting,,,financial-data,,https://github.com/kernc/backtesting.py,https://github.com/kernc/backtesting.py,AGPL-3.0,2019-01-02 03:11:32+00:00,2020-11-25 00:56:53+00:00,2020-11-25 00:56:15+00:00,209.0,20.0,150.0,796.0,204.0,2017-07-22 02:00:06+00:00,0.0.1,1.0,Backtest trading strategies in Python.,,,8.0,17,https://pypi.org/project/backtesting,2017-07-22 02:00:06+00:00,,2841.0,2841.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n619,CrypTen,facebookresearch/CrypTen,crypten,,,privacy-ml,['pytorch'],https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31+00:00,2020-11-30 14:52:58+00:00,2020-11-30 14:52:51+00:00,87.0,15.0,29.0,656.0,220.0,2020-04-21 13:59:37+00:00,0.1,1.0,A framework for Privacy Preserving Machine Learning.,5.0,5.0,21.0,17,https://pypi.org/project/crypten,2020-02-05 18:53:03+00:00,,400.0,400.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n620,Hivemind,learning-at-home/hivemind,hivemind,,,distributed-ml,,https://github.com/learning-at-home/hivemind,https://github.com/learning-at-home/hivemind,MIT,2020-02-27 13:50:19+00:00,2020-11-30 11:13:54+00:00,2020-11-17 21:40:46+00:00,28.0,11.0,17.0,628.0,280.0,2020-08-28 05:52:35+00:00,0.8.2,5.0,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,2.0,1.0,8.0,17,https://pypi.org/project/hivemind,2020-08-28 16:00:22+00:00,1.0,24.0,24.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n621,TF Recommenders,tensorflow/recommenders,tensorflow-recommenders,,,recommender-systems,['tensorflow'],https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01+00:00,2020-11-30 06:10:44+00:00,2020-11-30 06:10:34+00:00,57.0,14.0,34.0,616.0,,2020-11-19 18:15:43+00:00,0.3.0,5.0,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,6.0,6.0,15.0,17,https://pypi.org/project/tensorflow-recommenders,2020-11-19 18:15:43+00:00,,3320.0,3320.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n622,ADTK,arundo/adtk,adtk,,,time-series-data,,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22+00:00,2020-04-29 19:54:40+00:00,2020-04-17 02:27:44+00:00,70.0,19.0,29.0,558.0,78.0,2020-04-17 02:18:00+00:00,0.6.2,13.0,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,,,11.0,17,https://pypi.org/project/adtk,2020-04-17 02:18:00+00:00,,40523.0,40523.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n623,SKLL,EducationalTestingService/skll,skll,,,ml-experiments,['sklearn'],https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,BSD-1-Clause,2013-08-02 14:31:46+00:00,2020-11-24 21:00:13+00:00,2020-11-24 21:00:09+00:00,62.0,42.0,324.0,518.0,,2020-03-13 17:22:26+00:00,2.1,63.0,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,45.0,28.0,34.0,17,https://pypi.org/project/skll,2020-03-13 16:23:35+00:00,17.0,333.0,333.0,,,,False,3,10.0,,,,,,,,,,,,,,,,,,,,,,\n624,DiCE,interpretml/DiCE,dice-ml,,,interpretability,\"['tensorflow', 'pytorch']\",https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02+00:00,2020-11-09 04:56:57+00:00,2020-10-29 09:53:20+00:00,57.0,9.0,17.0,391.0,285.0,2020-09-22 06:31:10+00:00,0.4,2.0,Generate Diverse Counterfactual Explanations for any machine learning model.,,,8.0,17,https://pypi.org/project/dice-ml,2020-09-22 06:57:33+00:00,,206.0,206.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n625,Performer Pytorch,lucidrains/performer-pytorch,performer-pytorch,,,pytorch-utils,['pytorch'],https://github.com/lucidrains/performer-pytorch,https://github.com/lucidrains/performer-pytorch,MIT,2020-10-03 03:41:36+00:00,2020-11-22 19:14:19+00:00,2020-11-22 19:13:36+00:00,47.0,9.0,22.0,342.0,,2020-11-22 19:13:49+00:00,0.11.0,37.0,\"An implementation of Performer, a linear attention-based transformer, in Pytorch.\",4.0,4.0,3.0,17,https://pypi.org/project/performer-pytorch,2020-11-22 19:14:19+00:00,,1821.0,1821.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n626,pdvega,altair-viz/pdvega,pdvega,,,data-viz,,https://github.com/altair-viz/pdvega,https://github.com/altair-viz/pdvega,MIT,2018-01-11 21:30:27+00:00,2019-03-29 16:09:14+00:00,2019-03-29 16:09:13+00:00,28.0,16.0,10.0,339.0,177.0,,,1.0,Interactive plotting for Pandas using Vega-Lite.,46.0,44.0,9.0,17,https://pypi.org/project/pdvega,2018-02-01 04:56:43+00:00,2.0,267.0,267.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n627,Camphr,PKSHATechnology-Research/camphr,camphr,,,nlp,['spacy'],https://github.com/PKSHATechnology-Research/camphr,https://github.com/PKSHATechnology-Research/camphr,Apache-2.0,2020-02-10 03:39:58+00:00,2020-11-29 00:23:12+00:00,2020-11-29 00:23:10+00:00,15.0,7.0,13.0,318.0,1055.0,2020-08-21 04:45:06+00:00,0.7.0,35.0,\"spaCy plugin for Transformers , Udify, ELmo, etc.\",,,7.0,17,https://pypi.org/project/camphr,2020-08-20 15:29:45+00:00,,370.0,370.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n628,tick,X-DataInitiative/tick,tick,,,time-series-data,,https://github.com/X-DataInitiative/tick,https://github.com/X-DataInitiative/tick,BSD-3-Clause,2016-12-01 10:59:08+00:00,2020-08-11 12:36:43+00:00,2020-06-15 12:01:36+00:00,73.0,55.0,159.0,315.0,413.0,2019-09-11 11:25:15+00:00,0.6,23.0,\"Module for statistical learning, with a particular emphasis on time-dependent modelling.\",27.0,26.0,16.0,17,https://pypi.org/project/tick,2020-05-24 22:01:17+00:00,1.0,757.0,760.0,,,,True,3,145.0,,,,,,,,,,,,,,,,,,,,,,\n629,LOFO,aerdem4/lofo-importance,lofo-importance,,,interpretability,,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46+00:00,2020-07-02 11:49:54+00:00,2020-07-02 11:49:52+00:00,33.0,1.0,10.0,283.0,24.0,2020-07-02 11:44:57+00:00,0.2.6,9.0,Leave One Feature Out Importance.,3.0,3.0,3.0,17,https://pypi.org/project/lofo-importance,2020-07-02 11:44:57+00:00,,191.0,191.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n630,Orbit,uber/orbit,orbit-ml,,,probabilistics,,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37+00:00,2020-11-30 04:29:54+00:00,2020-11-25 22:33:07+00:00,12.0,22.0,140.0,278.0,571.0,2020-11-15 23:46:41+00:00,1.0.9,9.0,Bayesian forecasting with object-oriented design and probabilistic models under the hood.,2.0,2.0,5.0,17,https://pypi.org/project/orbit-ml,2020-11-15 23:46:41+00:00,,276.0,276.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n631,DeepGraph,deepgraph/deepgraph,deepgraph,conda-forge/deepgraph,,graph,,https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45+00:00,2020-10-01 13:20:38+00:00,2020-10-01 13:17:00+00:00,33.0,7.0,4.0,224.0,160.0,2020-10-01 13:20:38+00:00,0.2.3,13.0,Analyze Data with Pandas-based Networks. Documentation:.,1.0,1.0,2.0,17,https://pypi.org/project/deepgraph,2020-10-01 13:18:38+00:00,,313.0,313.0,https://anaconda.org/conda-forge/deepgraph,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n632,Muda,bmcfee/muda,muda,,,audio,,https://github.com/bmcfee/muda,https://github.com/bmcfee/muda,ISC,2014-11-07 21:21:22+00:00,2020-09-01 19:21:10+00:00,2020-07-20 20:00:17+00:00,29.0,5.0,44.0,172.0,291.0,2019-11-15 15:46:21+00:00,0.4.1,11.0,A library for augmenting annotated audio data.,8.0,7.0,6.0,17,https://pypi.org/project/muda,2019-11-15 15:46:21+00:00,1.0,99.0,99.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n633,BatchFlow,analysiscenter/batchflow,batchflow,,,data-pipelines,,https://github.com/analysiscenter/batchflow,https://github.com/analysiscenter/batchflow,Apache-2.0,2017-03-13 14:22:53+00:00,2020-11-30 11:27:55+00:00,2020-11-19 15:19:57+00:00,33.0,52.0,50.0,152.0,4236.0,2019-08-23 12:21:50+00:00,0.3.0,3.0,BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and..,,,28.0,17,https://pypi.org/project/batchflow,2019-08-23 12:21:50+00:00,,20.0,20.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n634,ipyexperiments,stas00/ipyexperiments,ipyexperiments,,,gpu-utilities,['jupyter'],https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40+00:00,2020-11-17 04:11:19+00:00,2020-11-17 04:11:16+00:00,9.0,,4.0,119.0,177.0,2020-11-16 07:08:34+00:00,0.1.22,21.0,jupyter/ipython experiment containers for GPU and general RAM re-use.,4.0,2.0,3.0,17,https://pypi.org/project/ipyexperiments,2020-11-17 04:10:43+00:00,2.0,320.0,320.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n635,nvidia-ml-py3,nicolargo/nvidia-ml-py3,nvidia-ml-py3,,,gpu-utilities,,https://github.com/nicolargo/nvidia-ml-py3,https://github.com/nicolargo/nvidia-ml-py3,BSD-3-Clause,2017-06-03 07:47:03+00:00,2019-03-06 20:41:10+00:00,2019-03-06 20:41:09+00:00,13.0,2.0,,59.0,5.0,,,1.0,Python 3 Bindings for the NVIDIA Management Library.,2219.0,2207.0,2.0,17,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46+00:00,12.0,278527.0,278527.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n636,DeepMind Lab,deepmind/lab,,,,reinforcement-learning,,https://github.com/deepmind/lab,https://github.com/deepmind/lab,GPL-2.0,2016-11-30 13:41:26+00:00,2020-11-18 15:34:29+00:00,2020-11-17 23:31:21+00:00,1286.0,37.0,151.0,6326.0,466.0,2019-10-07 17:44:15+00:00,release-2019-10-07,7.0,A customisable 3D platform for agent-based AI research.,,,7.0,16,,,,,,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n637,ReAgent,facebookresearch/ReAgent,,,,reinforcement-learning,['pytorch'],https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21+00:00,2020-11-20 02:32:58+00:00,2020-11-20 02:31:54+00:00,372.0,20.0,73.0,2691.0,1009.0,,,,\"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).\",,,77.0,16,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n638,LIT,PAIR-code/lit,lit-nlp,,,interpretability,,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26+00:00,2020-11-20 18:02:08+00:00,2020-11-17 00:43:10+00:00,205.0,29.0,26.0,2226.0,,2020-11-17 00:53:31+00:00,0.2,4.0,The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and..,,,10.0,16,https://pypi.org/project/lit-nlp,2020-11-17 00:52:37+00:00,,176.0,176.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n639,automl-gs,minimaxir/automl-gs,automl_gs,,,hyperopt,,https://github.com/minimaxir/automl-gs,https://github.com/minimaxir/automl-gs,MIT,2019-01-13 18:57:44+00:00,2019-10-22 11:20:40+00:00,2019-04-05 06:48:14+00:00,157.0,26.0,6.0,1703.0,102.0,2019-04-05 06:51:04+00:00,0.2.1,2.0,\"Provide an input CSV and a target field to predict, generate a model + code to run it.\",,,7.0,16,https://pypi.org/project/automl_gs,2019-04-05 06:47:54+00:00,,35.0,35.0,,,,False,3,19.0,,,,,,,,,,,,,,,,,,,,,,\n640,BlazingSQL,BlazingDB/blazingsql,,blazingsql/blazingsql-protocol,,gpu-utilities,,https://github.com/BlazingDB/blazingsql,https://github.com/BlazingDB/blazingsql,Apache-2.0,2018-09-24 18:25:45+00:00,2020-11-30 15:59:50+00:00,2020-11-30 14:14:09+00:00,132.0,246.0,291.0,1347.0,,2020-10-23 00:58:22+00:00,0.16.0,14.0,\"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.\",,,37.0,16,,,,,,https://anaconda.org/blazingsql/blazingsql-protocol,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n641,Xcessiv,reiinakano/xcessiv,xcessiv,,,hyperopt,,https://github.com/reiinakano/xcessiv,https://github.com/reiinakano/xcessiv,Apache-2.0,2017-03-07 18:18:25+00:00,2018-06-06 22:23:37+00:00,2017-08-21 00:51:15+00:00,102.0,21.0,13.0,1256.0,316.0,2017-08-21 00:53:25+00:00,0.5.1,34.0,\"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.\",2.0,1.0,6.0,16,https://pypi.org/project/xcessiv,2017-08-21 00:49:41+00:00,1.0,104.0,104.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n642,Lambda Networks,lucidrains/lambda-networks,lambda-networks,,,pytorch-utils,['pytorch'],https://github.com/lucidrains/lambda-networks,https://github.com/lucidrains/lambda-networks,MIT,2020-10-08 19:01:15+00:00,2020-11-18 19:54:34+00:00,2020-11-18 19:54:30+00:00,118.0,9.0,13.0,1155.0,,2020-11-18 08:18:54+00:00,0.4.0,11.0,\"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.\",,,3.0,16,https://pypi.org/project/lambda-networks,2020-10-20 21:49:22+00:00,,401.0,401.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n643,River,online-ml/river,river,,,others,,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26+00:00,2020-11-30 12:33:23+00:00,2020-11-29 16:39:22+00:00,137.0,33.0,223.0,1135.0,2787.0,,,,Online machine learning in Python.,2.0,,55.0,16,https://pypi.org/project/river,2018-10-23 02:19:34.893000+00:00,2.0,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n644,HyperparameterHunter,HunterMcGushion/hyperparameter_hunter,hyperparameter-hunter,,,hyperopt,,https://github.com/HunterMcGushion/hyperparameter_hunter,https://github.com/HunterMcGushion/hyperparameter_hunter,MIT,2018-06-01 23:17:00+00:00,2020-10-21 17:39:45+00:00,2020-10-21 17:39:43+00:00,77.0,36.0,84.0,630.0,1095.0,2019-08-06 09:09:45+00:00,3.0.0,16.0,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries.,1.0,,3.0,16,https://pypi.org/project/hyperparameter-hunter,2019-08-06 06:01:58+00:00,1.0,68.0,76.0,,,,True,3,222.0,,,,,,,,,,,,,,,,,,,,,,\n645,lazydata,rstojnic/lazydata,lazydata,,,db-clients,,https://github.com/rstojnic/lazydata,https://github.com/rstojnic/lazydata,Apache-2.0,2018-08-21 12:44:27+00:00,2019-02-13 18:15:09+00:00,2018-10-12 11:40:26+00:00,24.0,7.0,6.0,624.0,216.0,2018-09-18 21:24:41+00:00,1.0.19,19.0,Lazydata: Scalable data dependencies for Python projects.,7.0,7.0,6.0,16,https://pypi.org/project/lazydata,2018-09-18 21:25:30+00:00,,23.0,23.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n646,SpeedTorch,Santosh-Gupta/SpeedTorch,SpeedTorch,,,gpu-utilities,['pytorch'],https://github.com/Santosh-Gupta/SpeedTorch,https://github.com/Santosh-Gupta/SpeedTorch,MIT,2019-09-07 18:57:52+00:00,2020-02-21 23:13:29+00:00,2020-02-21 23:13:28+00:00,35.0,3.0,2.0,589.0,170.0,2020-01-06 05:27:17+00:00,0.1.6,14.0,Library for faster pinned CPU - GPU transfer in Pytorch.,5.0,3.0,3.0,16,https://pypi.org/project/SpeedTorch,2020-01-06 05:27:17+00:00,2.0,49.0,49.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n647,cuGraph,rapidsai/cugraph,cugraph,,,gpu-utilities,,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11+00:00,2020-11-30 15:54:41+00:00,2020-11-30 14:39:07+00:00,128.0,86.0,440.0,576.0,,2020-11-06 20:13:48+00:00,0.16.1,3.0,cuGraph - RAPIDS Graph Analytics Library.,,,51.0,16,https://pypi.org/project/cugraph,2019-04-04 15:31:02+00:00,,65.0,65.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n648,XAI,EthicalML/xai,xai,,,interpretability,,https://github.com/EthicalML/xai,https://github.com/EthicalML/xai,MIT,2019-01-11 20:00:09+00:00,2019-10-05 10:34:58+00:00,2019-10-05 10:34:50+00:00,77.0,4.0,2.0,535.0,83.0,2019-01-13 21:24:01+00:00,0.0.4,4.0,XAI - An eXplainability toolbox for machine learning.,14.0,8.0,2.0,16,https://pypi.org/project/xai,2019-01-13 21:24:01+00:00,6.0,179.0,179.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n649,FlashTorch,MisaOgura/flashtorch,flashtorch,,,interpretability,['pytorch'],https://github.com/MisaOgura/flashtorch,https://github.com/MisaOgura/flashtorch,MIT,2019-03-22 13:00:57+00:00,2020-10-05 10:22:22+00:00,2020-05-29 14:37:29+00:00,62.0,6.0,21.0,503.0,126.0,2020-05-29 14:39:38+00:00,0.1.3,12.0,Visualization toolkit for neural networks in PyTorch! Demo --.,4.0,4.0,2.0,16,https://pypi.org/project/flashtorch,2020-05-29 14:38:32+00:00,,241.0,241.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n650,Auto Tune Models,HDI-Project/ATM,atm,,,hyperopt,,https://github.com/HDI-Project/ATM,https://github.com/HDI-Project/ATM,MIT,2016-10-14 18:03:00+00:00,2020-02-21 17:44:07+00:00,2020-02-21 17:40:58+00:00,122.0,17.0,71.0,500.0,775.0,2019-07-30 09:28:26+00:00,0.2.2,13.0,\"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).\",6.0,6.0,16.0,16,https://pypi.org/project/atm,2019-06-24 13:31:28+00:00,,121.0,121.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n651,RLax,deepmind/rlax,rlax,,,reinforcement-learning,['jax'],https://github.com/deepmind/rlax,https://github.com/deepmind/rlax,Apache-2.0,2020-02-18 07:14:59+00:00,2020-11-27 10:39:58+00:00,2020-11-27 10:39:08+00:00,33.0,2.0,3.0,490.0,99.0,2020-02-19 23:01:30+00:00,0.1.0,2.0,A library of reinforcement learning building blocks in JAX.,5.0,5.0,10.0,16,https://pypi.org/project/rlax,2020-02-19 23:01:30+00:00,,146.0,146.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n652,OpenRec,ylongqi/openrec,openrec,,,recommender-systems,,https://github.com/ylongqi/openrec,https://github.com/ylongqi/openrec,Apache-2.0,2017-11-29 16:04:40+00:00,2020-11-13 17:47:17+00:00,2020-02-19 07:57:17+00:00,81.0,4.0,12.0,345.0,213.0,2018-11-13 17:55:55+00:00,0.2.5,11.0,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms.,2.0,1.0,10.0,16,https://pypi.org/project/openrec,2019-09-11 20:21:21+00:00,1.0,35.0,35.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n653,datmo,datmo/datmo,datmo,,,ml-experiments,,https://github.com/datmo/datmo,https://github.com/datmo/datmo,MIT,2017-11-03 05:46:43+00:00,2019-11-29 00:48:45+00:00,2019-11-29 00:48:44+00:00,27.0,42.0,149.0,331.0,1051.0,2018-12-07 06:01:12+00:00,0.0.40,41.0,Open source production model management tool for data scientists.,5.0,5.0,5.0,16,https://pypi.org/project/datmo,2018-12-07 06:16:42+00:00,,125.0,125.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n654,Case Recommender,caserec/CaseRecommender,caserecommender,,,recommender-systems,['sklearn'],https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39+00:00,2020-05-26 22:44:05+00:00,2020-05-26 22:44:05+00:00,65.0,6.0,16.0,302.0,201.0,2019-08-20 13:38:02+00:00,1.1.0,40.0,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems.,5.0,5.0,10.0,16,https://pypi.org/project/caserecommender,2019-08-20 13:42:28+00:00,,100.0,100.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n655,VizSeq,facebookresearch/vizseq,vizseq,,,nlp,,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38+00:00,2020-09-11 03:29:34+00:00,2020-09-11 03:29:29+00:00,38.0,7.0,8.0,291.0,41.0,2020-08-07 01:13:52+00:00,0.1.15,16.0,\"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).\",1.0,1.0,3.0,16,https://pypi.org/project/vizseq,2020-08-07 01:13:52+00:00,,97.0,97.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n656,Headliner,as-ideas/headliner,headliner,,,nlp,,https://github.com/as-ideas/headliner,https://github.com/as-ideas/headliner,MIT,2019-09-30 11:33:28+00:00,2020-02-14 09:07:46+00:00,2020-02-14 09:03:27+00:00,37.0,1.0,13.0,215.0,276.0,2020-01-24 09:06:29+00:00,1.0.2,30.0,Easy training and deployment of seq2seq models.,3.0,2.0,2.0,16,https://pypi.org/project/headliner,2020-01-24 09:06:29+00:00,1.0,213.0,213.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n657,Transistor,bomquote/transistor,transistor,,,web-scraping,,https://github.com/bomquote/transistor,https://github.com/bomquote/transistor,MIT,2018-11-12 15:25:51+00:00,2020-10-31 13:00:18+00:00,2020-08-16 21:52:05+00:00,17.0,60.0,3.0,206.0,198.0,2020-08-03 20:20:32+00:00,0.2.4,7.0,\"Transistor, a Python web scraping framework for intelligent use cases.\",,,3.0,16,https://pypi.org/project/transistor,2020-08-03 20:12:39+00:00,,84.0,86.0,,,,True,3,49.0,,,,,,,,,,,,,,,,,,,,,,\n658,Larq Compute Engine,larq/compute-engine,larq-compute-engine,,,model-serialisation,,https://github.com/larq/compute-engine,https://github.com/larq/compute-engine,Apache-2.0,2019-08-29 15:02:43+00:00,2020-11-30 16:40:51+00:00,2020-11-25 13:14:23+00:00,17.0,21.0,86.0,118.0,433.0,2020-09-21 13:31:57+00:00,0.4.3,11.0,Highly optimized inference engine for Binarized Neural Networks.,1.0,1.0,13.0,16,https://pypi.org/project/larq-compute-engine,2020-09-21 17:41:53+00:00,,761.0,772.0,,,,False,3,107.0,,,,,,,,,,,,,,,,,,,,,,\n659,dabl,amueller/dabl,dabl,,,others,['sklearn'],https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49+00:00,2020-09-25 18:19:22+00:00,2020-07-08 16:14:41+00:00,7.0,1.0,,55.0,252.0,2020-02-04 18:25:16+00:00,0.1.9,10.0,Data Analysis Baseline Library.,,,18.0,16,https://pypi.org/project/dabl,2020-09-25 18:14:54+00:00,,1376.0,1376.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n660,DE⫶TR,facebookresearch/detr,,,,image,['pytorch'],https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52+00:00,2020-11-30 11:13:52+00:00,2020-11-15 16:03:45+00:00,741.0,49.0,190.0,5370.0,41.0,2020-06-29 16:41:01+00:00,0.2,1.0,End-to-End Object Detection with Transformers.,,,19.0,15,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n661,Euler,alibaba/euler,euler-gl,,,graph,['tensorflow'],https://github.com/alibaba/euler,https://github.com/alibaba/euler,Apache-2.0,2019-01-10 06:32:32+00:00,2020-07-29 05:53:02+00:00,2020-07-29 05:53:01+00:00,496.0,197.0,97.0,2394.0,8.0,2020-07-07 02:24:18+00:00,2.0.0,2.0,A distributed graph deep learning framework.,,,5.0,15,https://pypi.org/project/euler-gl,2019-04-10 01:53:45+00:00,,18.0,18.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n662,GraphEmbedding,shenweichen/GraphEmbedding,,,,graph,['sklearn'],https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20+00:00,2020-10-18 09:32:47+00:00,2020-10-18 09:32:47+00:00,514.0,26.0,12.0,1617.0,28.0,,,,Implementation and experiments of graph embedding algorithms.,7.0,7.0,6.0,15,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n663,Botflow,kkyon/botflow,botflow,,,data-pipelines,,https://github.com/kkyon/botflow,https://github.com/kkyon/botflow,BSD-3-Clause,2018-08-20 03:13:31+00:00,2019-05-23 14:40:51+00:00,2019-05-23 14:40:50+00:00,97.0,2.0,2.0,1150.0,192.0,,,5.0,\"Python Fast Dataflow programming framework for Data pipeline work( Web Crawler,Machine Learning,Quantitative..\",1.0,1.0,11.0,15,https://pypi.org/project/botflow,2018-09-14 14:38:32+00:00,,34.0,34.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n664,Qlib,microsoft/qlib,pyqlib,,,financial-data,['pytorch'],https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00+00:00,2020-11-30 15:01:39+00:00,2020-11-30 01:22:01+00:00,89.0,12.0,13.0,697.0,,2020-10-01 08:16:40+00:00,0.5.1,13.0,\"Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research,..\",,,19.0,15,https://pypi.org/project/pyqlib,2020-10-01 08:16:40+00:00,,311.0,338.0,,,,True,3,54.0,,,,,,,,,,,,,,,,,,,,,,\n665,MedicalTorch,perone/medicaltorch,medicaltorch,,,medical-data,['pytorch'],https://github.com/perone/medicaltorch,https://github.com/perone/medicaltorch,Apache-2.0,2018-02-27 02:50:07+00:00,2020-09-30 13:21:57+00:00,2019-08-15 10:03:51+00:00,106.0,14.0,9.0,691.0,55.0,2018-11-24 00:33:11+00:00,0.2,2.0,A medical imaging framework for Pytorch.,9.0,9.0,7.0,15,https://pypi.org/project/medicaltorch,2018-11-24 00:29:36+00:00,,128.0,128.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n666,StackImpact,stackimpact/stackimpact-python,stackimpact,,,system-monitoring,,https://github.com/stackimpact/stackimpact-python,https://github.com/stackimpact/stackimpact-python,BSD-3-Clause,2017-06-26 13:12:06+00:00,2019-05-14 14:48:14+00:00,2019-05-14 14:48:05+00:00,21.0,6.0,,674.0,31.0,2019-05-14 14:13:15+00:00,1.2.6,19.0,\"DEPRECATED StackImpact Python Profiler - Production-Grade Performance Profiler: CPU, memory allocations, blocking..\",6.0,5.0,1.0,15,https://pypi.org/project/stackimpact,2019-05-14 14:13:15+00:00,1.0,304.0,304.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n667,Translate,pytorch/translate,pytorch-translate,,,nlp,['pytorch'],https://github.com/pytorch/translate,https://github.com/pytorch/translate,BSD-3-Clause,2018-04-24 16:44:04+00:00,2020-11-16 20:42:37+00:00,2020-11-16 20:42:29+00:00,151.0,66.0,27.0,656.0,802.0,,,1.0,Translate - a PyTorch Language Library.,,,83.0,15,https://pypi.org/project/pytorch-translate,2018-05-01 19:59:40+00:00,,7.0,7.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n668,SuperSQLite,plasticityai/supersqlite,supersqlite,,,db-clients,,https://github.com/plasticityai/supersqlite,https://github.com/plasticityai/supersqlite,MIT,2018-11-09 08:20:26+00:00,2020-05-09 09:06:06+00:00,2019-08-27 13:16:09+00:00,18.0,3.0,1.0,653.0,221.0,2018-11-22 02:36:13+00:00,0.0.78,56.0,A supercharged SQLite library for Python.,3.0,3.0,2.0,15,https://pypi.org/project/supersqlite,2018-11-19 04:01:04+00:00,,385.0,385.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n669,Anchor,marcotcr/anchor,anchor_exp,,,interpretability,,https://github.com/marcotcr/anchor,https://github.com/marcotcr/anchor,BSD-2-Clause,2018-02-02 23:38:50+00:00,2020-09-10 17:49:26+00:00,2020-09-10 17:48:28+00:00,83.0,8.0,42.0,602.0,39.0,,,8.0,Code for High-Precision Model-Agnostic Explanations paper.,,,8.0,15,https://pypi.org/project/anchor_exp,2020-06-26 20:56:50+00:00,,560.0,560.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n670,baikal,alegonz/baikal,baikal,conda-forge/cython-blis,,others,,https://github.com/alegonz/baikal,https://github.com/alegonz/baikal,BSD-3-Clause,2019-01-21 12:59:02+00:00,2020-11-15 13:41:03+00:00,2020-11-15 13:39:20+00:00,28.0,4.0,11.0,570.0,393.0,2020-05-17 12:40:17+00:00,0.4.2,7.0,A graph-based functional API for building complex scikit-learn pipelines.,2.0,2.0,1.0,15,https://pypi.org/project/baikal,2020-11-15 13:40:18+00:00,,125.0,125.0,https://anaconda.org/conda-forge/cython-blis,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n671,ThunderGBM,Xtra-Computing/thundergbm,thundergbm,,,ml-frameworks,,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08+00:00,2020-07-22 07:36:49+00:00,2020-07-22 07:36:48+00:00,68.0,16.0,26.0,567.0,602.0,2020-05-01 23:16:25+00:00,0.3.16,24.0,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,,,10.0,15,https://pypi.org/project/thundergbm,2020-05-01 23:16:25+00:00,,72.0,72.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n672,PandaPy,firmai/pandapy,pandapy,,,data-containers,,https://github.com/firmai/pandapy,https://github.com/firmai/pandapy,MIT,2020-01-15 18:21:23+00:00,2020-11-12 16:18:45+00:00,2020-11-12 16:18:44+00:00,42.0,2.0,1.0,452.0,83.0,2020-11-12 16:12:54+00:00,zen,22.0,PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai).,1.0,1.0,3.0,15,https://pypi.org/project/pandapy,2020-01-25 23:10:32+00:00,,42.0,42.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n673,cuSignal,rapidsai/cusignal,,,,gpu-utilities,,https://github.com/rapidsai/cusignal,https://github.com/rapidsai/cusignal,Apache-2.0,2019-08-22 14:27:27+00:00,2020-11-25 19:06:59+00:00,2020-11-24 16:44:25+00:00,56.0,20.0,69.0,423.0,,2020-10-21 21:13:33+00:00,0.16.0,2.0,GPU accelerated signal processing.,,,25.0,15,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n674,TF Compression,tensorflow/compression,tensorflow-compression,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19+00:00,2020-11-23 17:52:52+00:00,2020-11-16 18:30:05+00:00,128.0,4.0,47.0,377.0,128.0,2019-11-20 01:04:19+00:00,1.3,6.0,Data compression in TensorFlow.,1.0,,9.0,15,https://pypi.org/project/tensorflow-compression,2019-11-20 01:06:14+00:00,1.0,325.0,325.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n675,Pywick,achaiah/pywick,pywick,,,pytorch-utils,['pytorch'],https://github.com/achaiah/pywick,https://github.com/achaiah/pywick,MIT,2019-03-25 15:42:47+00:00,2020-11-17 16:44:11+00:00,2020-09-24 19:20:06+00:00,34.0,2.0,9.0,312.0,109.0,2020-01-20 22:14:21+00:00,0.5.6,6.0,High-level batteries-included neural network training library for Pytorch.,2.0,2.0,4.0,15,https://pypi.org/project/pywick,2020-01-20 22:14:21+00:00,,76.0,76.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n676,Parfit,jmcarpenter2/parfit,parfit,,,hyperopt,['sklearn'],https://github.com/jmcarpenter2/parfit,https://github.com/jmcarpenter2/parfit,MIT,2017-11-22 20:17:51+00:00,2020-04-04 19:26:44+00:00,2020-04-04 19:26:37+00:00,26.0,5.0,5.0,199.0,127.0,,,23.0,\"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..\",6.0,6.0,2.0,15,https://pypi.org/project/parfit,2018-10-11 22:03:16+00:00,,5336.0,5336.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n677,NeuralQA,victordibia/neuralqa,neuralqa,,,nlp,,https://github.com/victordibia/neuralqa,https://github.com/victordibia/neuralqa,MIT,2020-05-19 03:55:56+00:00,2020-09-26 05:06:49+00:00,2020-09-25 19:39:12+00:00,23.0,17.0,8.0,179.0,310.0,,,26.0,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,1.0,1.0,3.0,15,https://pypi.org/project/neuralqa,2020-07-29 16:39:37+00:00,,63.0,63.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n678,nx-altair,Zsailer/nx_altair,nx-altair,,,data-viz,['jupyter'],https://github.com/Zsailer/nx_altair,https://github.com/Zsailer/nx_altair,MIT,2018-05-13 00:10:12+00:00,2020-09-30 12:01:08+00:00,2020-06-02 21:10:26+00:00,18.0,4.0,4.0,147.0,51.0,2020-06-02 21:11:12+00:00,0.1.6,8.0,Draw interactive NetworkX graphs with Altair.,2.0,,3.0,15,https://pypi.org/project/nx-altair,2020-06-02 21:11:12+00:00,2.0,254.0,254.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n679,ExplainX.ai,explainX/explainx,explainx,,,interpretability,,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15+00:00,2020-11-25 06:57:45+00:00,2020-11-25 06:57:45+00:00,24.0,8.0,11.0,144.0,154.0,2020-10-23 17:30:47+00:00,2.403,52.0,Explain & debug any blackbox machine learning model with a single line of code.,,,4.0,15,https://pypi.org/project/explainx,2020-10-23 18:02:21+00:00,,873.0,873.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n680,steppy,minerva-ml/steppy,steppy,,,ml-experiments,,https://github.com/minerva-ml/steppy,https://github.com/minerva-ml/steppy,MIT,2018-01-15 09:40:49+00:00,2018-11-23 09:49:59+00:00,2018-11-23 09:47:34+00:00,31.0,16.0,50.0,123.0,69.0,2018-11-23 09:49:59+00:00,0.1.16,16.0,\"Lightweight, Python library for fast and reproducible experimentation.\",39.0,34.0,5.0,15,https://pypi.org/project/steppy,2018-11-23 09:49:59+00:00,5.0,68.0,68.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n681,ModelChimp,ModelChimp/modelchimp,modelchimp,,,ml-experiments,,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03+00:00,2020-11-25 19:16:45+00:00,2019-12-06 08:58:55+00:00,11.0,4.0,10.0,118.0,357.0,2019-04-09 10:43:15+00:00,0.4.0,37.0,Experiment tracking for machine and deep learning projects.,,,2.0,15,https://pypi.org/project/modelchimp,2019-04-09 10:41:20+00:00,,3475.0,3501.0,,,,False,3,,,,modelchimp/modelchimp-server,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793+00:00,,634.0,,,,,,,,,,,,,,,\n682,PySlowFast,facebookresearch/SlowFast,,,,image,['pytorch'],https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26+00:00,2020-11-08 23:54:34+00:00,2020-10-19 17:59:04+00:00,561.0,143.0,179.0,3130.0,91.0,,,,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,2.0,2.0,18.0,14,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n683,GraphSAGE,williamleif/GraphSAGE,,,,graph,['tensorflow'],https://github.com/williamleif/GraphSAGE,https://github.com/williamleif/GraphSAGE,MIT,2017-05-29 15:36:22+00:00,2020-11-13 17:49:54+00:00,2018-09-19 19:27:00+00:00,576.0,77.0,58.0,1989.0,59.0,,,,Representation learning on large graphs using stochastic graph convolutions.,,,9.0,14,,,,,,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n684,ZhuSuan,thu-ml/zhusuan,,,,probabilistics,['tensorflow'],https://github.com/thu-ml/zhusuan,https://github.com/thu-ml/zhusuan,MIT,2016-07-18 13:31:38+00:00,2020-01-09 14:51:27+00:00,2019-08-05 10:00:04+00:00,369.0,8.0,53.0,1965.0,439.0,,,,\"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.\",,,20.0,14,,,,,,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n685,lazynlp,chiphuyen/lazynlp,,,,web-scraping,,https://github.com/chiphuyen/lazynlp,https://github.com/chiphuyen/lazynlp,MIT,2019-02-27 23:23:19+00:00,2020-11-11 12:16:30+00:00,2019-10-07 16:52:30+00:00,280.0,5.0,3.0,1877.0,14.0,2019-03-02 17:38:27+00:00,1.0.0,1.0,Library to scrape and clean web pages to create massive datasets.,,,4.0,14,,,,,,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n686,OpenNE,thunlp/OpenNE,,,,graph,['tensorflow'],https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20+00:00,2020-11-30 14:02:23+00:00,2019-08-12 10:56:27+00:00,437.0,50.0,81.0,1366.0,98.0,,,,An Open-Source Package for Network Embedding (NE).,,,10.0,14,,,,,,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n687,Higher,facebookresearch/higher,,,,pytorch-utils,['pytorch'],https://github.com/facebookresearch/higher,https://github.com/facebookresearch/higher,Apache-2.0,2019-09-06 18:58:36+00:00,2020-11-23 06:15:24+00:00,2020-10-28 16:53:07+00:00,69.0,22.0,46.0,981.0,28.0,,,,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,22.0,22.0,6.0,14,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n688,torchsde,google-research/torchsde,,,,pytorch-utils,['pytorch'],https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11+00:00,2020-11-02 17:11:31+00:00,2020-10-30 16:15:49+00:00,48.0,6.0,25.0,598.0,137.0,2020-10-22 16:12:07+00:00,0.2.1,3.0,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,,,4.0,14,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n689,Tensor Sensor,parrt/tensor-sensor,tensor-sensor,,,pytorch-utils,['pytorch'],https://github.com/parrt/tensor-sensor,https://github.com/parrt/tensor-sensor,MIT,2020-08-28 22:54:04+00:00,2020-11-26 02:34:15+00:00,2020-11-26 02:34:09+00:00,21.0,5.0,11.0,368.0,141.0,2020-10-16 20:46:41+00:00,0.1b6,32.0,The goal of this library is to generate more helpful exception messages for numpy/pytorch matrix algebra expressions.,,,2.0,14,https://pypi.org/project/tensor-sensor,2020-10-16 20:46:56+00:00,,446.0,446.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n690,Adversary,airbnb/artificial-adversary,Adversary,,,adversarial,,https://github.com/airbnb/artificial-adversary,https://github.com/airbnb/artificial-adversary,MIT,2018-08-08 04:42:11+00:00,2018-10-14 05:34:44+00:00,2018-08-29 15:31:30+00:00,47.0,7.0,,338.0,15.0,2018-08-29 15:14:41+00:00,1.1.1,3.0,Tool to generate adversarial text examples and test machine learning models against them.,6.0,6.0,5.0,14,https://pypi.org/project/Adversary,2018-08-29 15:14:41+00:00,,38.0,38.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n691,TransferNLP,feedly/transfer-nlp,transfer-nlp,,,nlp,['pytorch'],https://github.com/feedly/transfer-nlp,https://github.com/feedly/transfer-nlp,MIT,2019-03-12 20:00:31+00:00,2020-05-28 19:00:02+00:00,2020-05-28 17:31:53+00:00,18.0,4.0,19.0,285.0,465.0,2020-05-28 19:00:02+00:00,0.1.6,8.0,NLP library designed for reproducible experimentation management.,,,7.0,14,https://pypi.org/project/transfer-nlp,2020-05-28 19:00:02+00:00,,96.0,96.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n692,Tez,abhishekkrthakur/tez,tez,,,pytorch-utils,['pytorch'],https://github.com/abhishekkrthakur/tez,https://github.com/abhishekkrthakur/tez,Apache-2.0,2020-11-13 10:19:22+00:00,2020-11-29 10:33:25+00:00,2020-11-29 10:33:09+00:00,27.0,4.0,,280.0,,2020-11-23 08:05:54+00:00,0.0.5,4.0,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,,,1.0,14,https://pypi.org/project/tez,2020-11-23 08:05:54+00:00,,507.0,507.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n693,DeepNeuro,QTIM-Lab/DeepNeuro,deepneuro,,,medical-data,,https://github.com/QTIM-Lab/DeepNeuro,https://github.com/QTIM-Lab/DeepNeuro,MIT,2017-06-01 19:36:34+00:00,2020-06-24 13:00:15+00:00,2020-06-24 13:00:14+00:00,28.0,25.0,16.0,95.0,285.0,2019-04-11 16:57:02+00:00,0.2.2,5.0,A deep learning python package for neuroimaging data. Made by:.,1.0,1.0,6.0,14,https://pypi.org/project/deepneuro,2019-04-11 16:57:02+00:00,,24.0,24.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n694,Hypermax,electricbrainio/hypermax,hypermax,,,hyperopt,,https://github.com/electricbrainio/hypermax,https://github.com/electricbrainio/hypermax,BSD-3-Clause,2018-07-27 18:43:01+00:00,2020-08-02 18:08:50+00:00,2020-08-02 18:08:46+00:00,14.0,3.0,1.0,94.0,207.0,2019-10-23 15:40:12+00:00,0.5.1,11.0,\"Better, faster hyper-parameter optimization.\",4.0,4.0,9.0,14,https://pypi.org/project/hypermax,2019-10-23 15:40:12+00:00,,48.0,48.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n695,nptsne,biovault/nptsne,nptsne,,,data-viz,,https://github.com/biovault/nptsne,https://github.com/biovault/nptsne,Apache-2.0,2019-06-28 08:40:25+00:00,2020-11-16 13:56:05+00:00,2020-11-13 16:38:47+00:00,2.0,7.0,2.0,24.0,834.0,2020-09-10 23:54:14+00:00,1.1.0,2.0,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,2.0,2.0,3.0,14,https://pypi.org/project/nptsne,2020-09-10 23:54:14+00:00,,114.0,114.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n696,StarSpace,facebookresearch/StarSpace,,,,ml-frameworks,,https://github.com/facebookresearch/StarSpace,https://github.com/facebookresearch/StarSpace,MIT,2017-06-28 17:50:18+00:00,2020-05-18 03:40:57+00:00,2019-12-13 19:03:25+00:00,475.0,45.0,146.0,3491.0,138.0,,,,\"Learning embeddings for classification, retrieval and ranking.\",,,17.0,13,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n697,ENAS,carpedm20/ENAS-pytorch,,,,hyperopt,,https://github.com/carpedm20/ENAS-pytorch,https://github.com/carpedm20/ENAS-pytorch,Apache-2.0,2018-02-15 04:54:37+00:00,2020-06-16 07:23:33+00:00,2020-06-16 07:23:32+00:00,436.0,37.0,7.0,2348.0,53.0,,,,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,,,6.0,13,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n698,OpenKE,thunlp/OpenKE,,,,graph,,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,MIT,2017-10-08 11:20:23+00:00,2020-04-08 11:00:38+00:00,2020-04-08 11:00:32+00:00,694.0,42.0,222.0,2232.0,97.0,,,,An Open-Source Package for Knowledge Embedding (KE).,,,10.0,13,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n699,pycls,facebookresearch/pycls,,,,image,['pytorch'],https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17+00:00,2020-11-29 17:48:12+00:00,2020-11-20 22:19:36+00:00,140.0,7.0,43.0,1367.0,66.0,2020-04-15 19:33:22+00:00,0.1,1.0,\"Codebase for Image Classification Research, written in PyTorch.\",1.0,1.0,7.0,13,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n700,Medical Detection Toolkit,MIC-DKFZ/medicaldetectiontoolkit,,,,medical-data,['pytorch'],https://github.com/MIC-DKFZ/medicaldetectiontoolkit,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,Apache-2.0,2018-10-12 12:34:57+00:00,2020-10-14 11:17:37+00:00,2020-04-18 12:52:08+00:00,226.0,27.0,85.0,865.0,36.0,,,,\"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..\",,,3.0,13,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n701,Torch-Struct,harvardnlp/pytorch-struct,,,,pytorch-utils,['pytorch'],https://github.com/harvardnlp/pytorch-struct,https://github.com/harvardnlp/pytorch-struct,MIT,2019-08-26 19:34:30+00:00,2020-11-09 00:37:00+00:00,2020-07-30 15:58:25+00:00,67.0,12.0,20.0,856.0,244.0,2019-11-25 04:08:05+00:00,0.4,1.0,\"Fast, general, and tested differentiable structured prediction in PyTorch.\",,,10.0,13,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n702,Auptimizer,LGE-ARC-AdvancedAI/auptimizer,auptimizer,,,hyperopt,,https://github.com/LGE-ARC-AdvancedAI/auptimizer,https://github.com/LGE-ARC-AdvancedAI/auptimizer,GPL-3.0,2019-09-12 01:08:37+00:00,2020-11-20 21:51:58+00:00,2020-11-20 21:38:14+00:00,20.0,,3.0,152.0,64.0,2020-11-19 05:14:22+00:00,1.4,6.0,An automatic ML model optimization tool.,,,11.0,13,https://pypi.org/project/auptimizer,2020-11-19 00:23:49+00:00,,79.0,79.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n703,Attribution Priors,suinleelab/attributionpriors,attributionpriors,,,interpretability,\"['tensorflow', 'pytorch']\",https://github.com/suinleelab/attributionpriors,https://github.com/suinleelab/attributionpriors,MIT,2019-06-24 23:54:24+00:00,2020-09-12 05:57:02+00:00,2020-09-12 05:56:51+00:00,3.0,1.0,3.0,69.0,64.0,2019-07-18 21:13:37+00:00,0.1.3,4.0,Tools for training explainable models using attribution priors.,,,6.0,13,https://pypi.org/project/attributionpriors,2019-10-31 18:03:05+00:00,,37.0,37.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n704,LazyCluster,ml-tooling/lazycluster,lazycluster,,,distributed-ml,,https://github.com/ml-tooling/lazycluster,https://github.com/ml-tooling/lazycluster,Apache-2.0,2019-08-07 08:05:13+00:00,2020-11-27 10:56:15+00:00,2020-11-27 10:56:06+00:00,4.0,,,29.0,336.0,2019-08-19 12:12:55+00:00,0.1.1,2.0,Distributed machine learning made simple.,,,2.0,13,https://pypi.org/project/lazycluster,2019-08-19 12:12:55+00:00,,49.0,49.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n705,PySparNN,facebookresearch/pysparnn,,,,nn-search,,https://github.com/facebookresearch/pysparnn,https://github.com/facebookresearch/pysparnn,BSD-3-Clause,2016-03-28 20:43:42+00:00,2020-10-02 06:01:01+00:00,2018-01-31 16:50:23+00:00,141.0,11.0,13.0,834.0,147.0,,,,Approximate Nearest Neighbor Search for Sparse Data in Python!.,,,5.0,12,,,,,,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n706,ONNX-T5,abelriboulot/onnxt5,onnxt5,,,nlp,,https://github.com/abelriboulot/onnxt5,https://github.com/abelriboulot/onnxt5,Apache-2.0,2020-08-01 09:38:35+00:00,2020-09-02 11:27:43+00:00,2020-09-02 11:27:37+00:00,15.0,2.0,5.0,128.0,68.0,2020-08-15 15:25:00+00:00,0.1.6,10.0,\"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..\",,,2.0,12,https://pypi.org/project/onnxt5,2020-09-02 11:22:09+00:00,,116.0,116.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n707,MedicalNet,Tencent/MedicalNet,,,,medical-data,,https://github.com/Tencent/MedicalNet,https://github.com/Tencent/MedicalNet,MIT,2019-07-17 09:53:10+00:00,2020-08-27 13:37:27+00:00,2020-08-27 13:37:26+00:00,261.0,39.0,14.0,991.0,26.0,,,,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,,,1.0,11,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n708,Devol,joeddav/devol,,,,hyperopt,,https://github.com/joeddav/devol,https://github.com/joeddav/devol,MIT,2017-02-10 03:07:54+00:00,2020-07-05 21:56:59+00:00,2020-07-05 21:56:58+00:00,108.0,7.0,20.0,922.0,116.0,,,,Genetic neural architecture search with Keras.,,,18.0,11,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n709,NeoML,neoml-lib/neoml,,,,ml-frameworks,,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,,2020-06-14 17:37:36+00:00,2020-11-30 16:30:06+00:00,2020-11-30 16:20:48+00:00,75.0,16.0,13.0,543.0,154.0,2020-06-14 17:44:03+00:00,NeoML-master_1.0.1.0,1.0,Machine learning framework for both deep learning and traditional algorithms.,,,15.0,11,,,,,,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n710,Julius,adefossez/julius,julius,,,audio,['pytorch'],https://github.com/adefossez/julius,https://github.com/adefossez/julius,MIT,2020-10-26 10:54:21+00:00,2020-11-25 22:48:35+00:00,2020-11-25 22:48:35+00:00,6.0,,2.0,130.0,,2020-11-25 18:04:38+00:00,0.2.0,4.0,Fast PyTorch based DSP for audio and 1D signals.,,,2.0,11,https://pypi.org/project/julius,2020-11-25 18:04:38+00:00,,145.0,145.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n711,Hypertunity,gdikov/hypertunity,hypertunity,,,hyperopt,,https://github.com/gdikov/hypertunity,https://github.com/gdikov/hypertunity,Apache-2.0,2019-06-02 12:04:55+00:00,2020-01-26 23:14:49+00:00,2020-01-26 22:53:29+00:00,10.0,,2.0,119.0,64.0,2020-01-26 23:08:16+00:00,1.0.1,7.0,A toolset for black-box hyperparameter optimisation.,2.0,2.0,2.0,11,https://pypi.org/project/hypertunity,2020-01-26 23:08:16+00:00,,86.0,86.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n712,traintool,jrieke/traintool,traintool,,,ml-experiments,\"['pytorch', 'tensorflow', 'sklearn']\",https://github.com/jrieke/traintool,https://github.com/jrieke/traintool,Apache-2.0,2020-09-30 22:23:05+00:00,2020-11-18 02:51:43+00:00,2020-11-18 02:50:52+00:00,1.0,,,7.0,120.0,2020-11-02 02:25:32+00:00,0.0.3,3.0,Train off-the-shelf machine learning models in one line of code.,,,1.0,11,https://pypi.org/project/traintool,2020-11-02 02:25:32+00:00,,151.0,151.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n713,GraphVite,DeepGraphLearning/graphvite,,milagraph/graphvite,,graph,,https://github.com/DeepGraphLearning/graphvite,https://github.com/DeepGraphLearning/graphvite,Apache-2.0,2019-07-16 15:48:20+00:00,2020-03-18 23:16:34+00:00,2020-03-18 23:16:04+00:00,112.0,21.0,51.0,798.0,14.0,,,,GraphVite: A General and High-performance Graph Embedding System.,,,1.0,9,,,,,,https://anaconda.org/milagraph/graphvite,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n"
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01:19:20+00:00,2020-12-15 18:03:52+00:00,2020-12-15 18:02:54+00:00,83455.0,4229.0,25268.0,151563.0,101476.0,2020-12-14 18:16:52+00:00,2.4.0,110.0,An Open Source Machine Learning Framework for Everyone.,134890.0,112366.0,3453.0,44,https://pypi.org/project/tensorflow,2020-12-14 17:58:05+00:00,22524.0,8791438.0,8791438.0,https://anaconda.org/anaconda/tensorflow,2020-11-02 11:16:39+00:00,0.0,True,1,,,,,,,,,,,,,,,,,,,,,,,\n1,pandas,pandas-dev/pandas,pandas,pandas,,data-containers,['pandas'],https://github.com/pandas-dev/pandas,https://github.com/pandas-dev/pandas,BSD-3-Clause,2010-08-24 01:37:33+00:00,2020-12-15 18:25:12+00:00,2020-12-15 14:58:03+00:00,11524.0,3566.0,16091.0,27651.0,25238.0,2020-12-07 15:07:55+00:00,1.1.5,86.0,\"Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R..\",426138.0,349354.0,2538.0,43,https://pypi.org/project/pandas,2020-12-08 15:36:34+00:00,76784.0,25466159.0,25466834.0,https://anaconda.org/anaconda/pandas,2020-10-31 18:02:02+00:00,0.0,True,1,56028.0,,,,,,,,,,,,,,,,,,,,,,\n2,numpy,numpy/numpy,numpy,numpy,,data-containers,,https://github.com/numpy/numpy,https://github.com/numpy/numpy,BSD-3-Clause,2010-09-13 23:02:39+00:00,2020-12-15 18:40:46+00:00,2020-12-15 18:32:17+00:00,5089.0,2248.0,7184.0,15730.0,24960.0,2020-11-05 19:11:49+00:00,1.19.4,92.0,The fundamental package for scientific computing with Python.,743719.0,573997.0,1221.0,42,https://pypi.org/project/numpy,2020-12-03 18:43:23+00:00,169722.0,40472926.0,40478739.0,https://anaconda.org/anaconda/numpy,2020-11-05 19:11:49+00:00,0.0,True,1,284858.0,,,,,,,,,,,,,,,,,,,,,,\n3,scikit-learn,scikit-learn/scikit-learn,scikit-learn,scikit-learn,,ml-frameworks,['sklearn'],https://github.com/scikit-learn/scikit-learn,https://github.com/scikit-learn/scikit-learn,BSD-3-Clause,2010-08-17 09:43:38+00:00,2020-12-15 17:53:36+00:00,2020-12-15 16:51:44+00:00,20713.0,2301.0,6556.0,43396.0,26359.0,2020-08-25 18:28:32+00:00,0.23.2,51.0,scikit-learn: machine learning in Python.,211740.0,173852.0,2100.0,41,https://pypi.org/project/scikit-learn,2020-12-02 17:56:43+00:00,37888.0,10157227.0,10157237.0,https://anaconda.org/anaconda/scikit-learn,2020-11-01 13:42:30.305000+00:00,0.0,True,1,613.0,,,,,,,,,,,,,,,,,,,,,,\n4,Matplotlib,matplotlib/matplotlib,matplotlib,,,data-viz,,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,Python-2.0,2011-02-19 03:17:12+00:00,2020-12-15 17:24:21+00:00,2020-12-15 16:33:00+00:00,5541.0,1653.0,5875.0,12762.0,37310.0,2020-11-12 04:43:18+00:00,3.3.3,61.0,matplotlib: plotting with Python.,378896.0,299792.0,1177.0,40,https://pypi.org/project/matplotlib,2020-11-12 04:43:18+00:00,79104.0,9618626.0,9618626.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n5,PyTorch,pytorch/pytorch,torch,,https://pytorch.org/docs/stable/index.html,ml-frameworks,['pytorch'],https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41+00:00,2020-12-15 18:18:33+00:00,2020-12-15 17:48:29+00:00,11443.0,7100.0,12260.0,44762.0,32162.0,2020-12-10 17:19:58+00:00,1.7.1,30.0,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,61622.0,54940.0,2429.0,39,https://pypi.org/project/torch,2020-12-10 16:22:02+00:00,6682.0,1669744.0,1669744.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n6,Scrapy,scrapy/scrapy,scrapy,,,web-scraping,,https://github.com/scrapy/scrapy,https://github.com/scrapy/scrapy,BSD-3-Clause,2010-02-22 02:01:14+00:00,2020-12-15 18:41:22+00:00,2020-12-03 20:36:47+00:00,8948.0,750.0,1894.0,39192.0,8549.0,2020-11-17 21:01:36+00:00,2.4.1,80.0,\"Scrapy, a fast high-level web crawling & scraping framework for Python.\",29855.0,21485.0,457.0,38,https://pypi.org/project/scrapy,2020-11-17 12:04:15+00:00,8370.0,483231.0,483231.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n7,PySpark,apache/spark,pyspark,,,ml-frameworks,['spark'],https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08+00:00,2020-12-15 18:18:15+00:00,2020-12-15 14:16:43+00:00,23032.0,218.0,,28312.0,28797.0,2020-09-07 15:29:07+00:00,3.0.1,21.0,Apache Spark Python API.,1270.0,510.0,2369.0,38,https://pypi.org/project/pyspark,2020-09-07 15:29:07+00:00,760.0,7069866.0,7069866.0,,,,True,1,,stable/spark,,,,,,,,,,,,,,,,,,,,,\n8,Pillow,python-pillow/Pillow,Pillow,,,image,,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39+00:00,2020-12-14 18:35:33+00:00,2020-12-12 17:54:27+00:00,1536.0,238.0,1817.0,8000.0,10896.0,2020-10-22 19:19:42+00:00,8.0.1,76.0,The friendly PIL fork (Python Imaging 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Language Processing (NLP) with Python and Cython.,22368.0,19302.0,535.0,37,https://pypi.org/project/spacy,2020-12-11 14:45:05+00:00,3066.0,1025627.0,1025684.0,,,,True,1,2883.0,,,,,,,,,,,,,,,,,,,,,,\n11,Celery,celery/celery,celery,,,data-pipelines,,https://github.com/celery/celery,https://github.com/celery/celery,BSD-3-Clause,2009-04-24 11:31:24+00:00,2020-12-15 14:29:13+00:00,2020-12-15 14:29:11+00:00,3904.0,487.0,3907.0,16364.0,11468.0,2020-12-08 12:51:27+00:00,5.0.4,170.0,Asynchronous task queue/job queue based on distributed message passing.,74591.0,46357.0,1067.0,37,https://pypi.org/project/celery,2020-12-08 12:51:27+00:00,28234.0,2311624.0,2311624.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n12,networkx,networkx/networkx,networkx,,,graph,,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44+00:00,2020-12-15 18:23:35+00:00,2020-12-15 17:08:23+00:00,2155.0,253.0,2274.0,8347.0,6348.0,2020-08-22 20:10:33+00:00,networkx-2.5,52.0,Network Analysis in Python.,82864.0,62046.0,482.0,37,https://pypi.org/project/networkx,2020-08-22 20:38:37+00:00,20818.0,5691606.0,5691606.0,,,,True,1,51.0,,,,,,,,,,,,,,,,,,,,,,\n13,boto3,boto/boto3,boto3,,,db-clients,,https://github.com/boto/boto3,https://github.com/boto/boto3,Apache-2.0,2014-10-03 21:38:03+00:00,2020-12-14 22:34:57+00:00,2020-12-14 22:34:56+00:00,1290.0,301.0,1925.0,5995.0,3961.0,2020-12-11 20:24:03+00:00,1.16.35,722.0,AWS SDK for Python.,111274.0,88184.0,108.0,37,https://pypi.org/project/boto3,2020-12-11 20:24:03+00:00,23090.0,44866564.0,44866564.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n14,transformers,huggingface/transformers,transformers,,,nlp,\"['pytorch', 'tensorflow']\",https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00+00:00,2020-12-15 18:13:07+00:00,2020-12-15 18:04:31+00:00,9354.0,553.0,4837.0,38098.0,6120.0,2020-12-09 17:07:39+00:00,4.0.1,43.0,Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.,6274.0,6146.0,731.0,36,https://pypi.org/project/transformers,2020-12-09 17:04:36+00:00,128.0,961864.0,961913.0,,,,True,1,1235.0,,,,,,,,,,,,,,,,,,,,,,\n15,Faker,joke2k/faker,Faker,,,data-loading,,https://github.com/joke2k/faker,https://github.com/joke2k/faker,MIT,2012-11-12 23:00:09+00:00,2020-12-15 15:32:05+00:00,2020-12-14 15:22:46+00:00,1318.0,132.0,341.0,11732.0,2486.0,2020-12-07 23:00:21+00:00,5.0.1,101.0,Faker is a Python package that generates fake data for you.,26117.0,21405.0,376.0,36,https://pypi.org/project/Faker,2020-12-07 23:00:12+00:00,4712.0,2029150.0,2029150.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n16,redis,andymccurdy/redis-py,redis,,,db-clients,,https://github.com/andymccurdy/redis-py,https://github.com/andymccurdy/redis-py,MIT,2009-11-06 10:22:26+00:00,2020-12-14 09:50:16+00:00,2020-11-22 20:52:44+00:00,1903.0,62.0,802.0,8973.0,1550.0,2020-06-01 21:30:33+00:00,3.5.3,66.0,Redis Python Client.,49438.0,,248.0,36,https://pypi.org/project/redis,2020-06-01 21:30:33+00:00,49438.0,8699677.0,8699677.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n17,SymPy,sympy/sympy,sympy,sympy,,others,,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14+00:00,2020-12-15 18:44:57+00:00,2020-12-14 22:19:11+00:00,3209.0,3953.0,7039.0,7650.0,45421.0,2020-12-12 23:23:00+00:00,1.7.1,36.0,A computer algebra system written in pure Python.,33548.0,27126.0,1017.0,36,https://pypi.org/project/sympy,2020-12-12 23:23:00+00:00,6422.0,697134.0,701743.0,https://anaconda.org/anaconda/sympy,2020-11-24 22:42:59.563000+00:00,0.0,True,1,410283.0,,,,,,,,,,,,,,,,,,,,,,\n18,psutil,giampaolo/psutil,psutil,conda-forge/psutil,,system-monitoring,,https://github.com/giampaolo/psutil,https://github.com/giampaolo/psutil,BSD-3-Clause,2014-05-23 14:01:48+00:00,2020-12-14 21:10:09+00:00,2020-12-14 21:10:03+00:00,1055.0,224.0,1204.0,6850.0,5583.0,2020-10-24 14:00:54+00:00,5.7.3,82.0,Cross-platform lib for process and system monitoring in Python.,91880.0,67214.0,153.0,36,https://pypi.org/project/psutil,2020-10-24 14:00:54+00:00,24666.0,12188130.0,12188130.0,https://anaconda.org/conda-forge/psutil,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n19,StatsModels,statsmodels/statsmodels,statsmodels,statsmodels,,ml-frameworks,,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50+00:00,2020-12-15 12:31:26+00:00,2020-12-15 12:31:25+00:00,2114.0,2042.0,2220.0,5807.0,13501.0,2020-12-02 16:14:51+00:00,0.12.1,24.0,Statsmodels: statistical modeling and econometrics in Python.,40788.0,34132.0,295.0,36,https://pypi.org/project/statsmodels,2020-10-29 16:36:43+00:00,6656.0,2458853.0,2458853.0,https://anaconda.org/anaconda/statsmodels,2020-12-02 16:14:51+00:00,0.0,True,1,25.0,,,,,,,,,,,,,,,,,,,,,,\n20,Tensorboard,tensorflow/tensorboard,tensorboard,,,ml-experiments,['tensorflow'],https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07+00:00,2020-12-15 18:35:49+00:00,2020-12-15 17:19:15+00:00,1326.0,544.0,897.0,5082.0,4112.0,2020-11-12 03:15:42+00:00,2.4.0,35.0,TensorFlow's Visualization Toolkit.,51824.0,48210.0,248.0,36,https://pypi.org/project/tensorboard,2020-11-12 03:15:33+00:00,3614.0,5488494.0,5488494.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n21,scikit-image,scikit-image/scikit-image,scikit-image,,,image,,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,BSD-2-Clause,2011-07-07 22:07:20+00:00,2020-12-15 06:24:59+00:00,2020-12-13 00:27:36+00:00,1699.0,641.0,1466.0,4092.0,12434.0,2020-07-06 09:37:07+00:00,0.17.2,33.0,Image processing in Python.,70789.0,56015.0,471.0,36,https://pypi.org/project/scikit-image,2020-12-13 22:47:52+00:00,14774.0,1697115.0,1697115.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n22,pymongo,mongodb/mongo-python-driver,pymongo,,,db-clients,,https://github.com/mongodb/mongo-python-driver,https://github.com/mongodb/mongo-python-driver,Apache-2.0,2009-01-15 15:18:06+00:00,2020-12-15 03:10:39+00:00,2020-12-15 03:03:19+00:00,969.0,7.0,,3180.0,4611.0,2020-12-02 23:37:26+00:00,3.11.2,115.0,PyMongo - the Python driver for MongoDB.,116835.0,80973.0,179.0,36,https://pypi.org/project/pymongo,2020-12-02 23:31:25+00:00,35862.0,6256172.0,6256172.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n23,SQLAlchemy,sqlalchemy/sqlalchemy,SQLAlchemy,conda-forge/sqlalchemy,,db-clients,,https://github.com/sqlalchemy/sqlalchemy,https://github.com/sqlalchemy/sqlalchemy,MIT,2018-11-27 03:35:03+00:00,2020-12-15 18:04:21+00:00,2020-12-15 16:24:05+00:00,477.0,155.0,5357.0,3080.0,13409.0,2020-10-12 22:33:21+00:00,rel_1_3_20,205.0,The Database Toolkit for Python.,305530.0,221824.0,447.0,36,https://pypi.org/project/SQLAlchemy,2020-11-02 21:20:19+00:00,83706.0,13257187.0,13257256.0,https://anaconda.org/conda-forge/sqlalchemy,,,True,1,1044.0,,,,,,,,,,,,,,,,,,,,,,\n24,h5py,h5py/h5py,h5py,,,data-containers,,https://github.com/h5py/h5py,https://github.com/h5py/h5py,BSD-3-Clause,2012-09-21 00:40:02+00:00,2020-12-11 13:07:01+00:00,2020-12-01 10:28:11+00:00,393.0,182.0,933.0,1452.0,3463.0,2020-11-06 14:30:54+00:00,3.1.0,25.0,HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.,117333.0,94397.0,156.0,36,https://pypi.org/project/h5py,2020-11-06 14:30:54+00:00,22936.0,5638435.0,5638451.0,,,,True,1,738.0,,,,,,,,,,,,,,,,,,,,,,\n25,Keras,keras-team/keras,keras,keras,https://keras.io,ml-frameworks,['keras'],https://github.com/keras-team/keras,https://github.com/keras-team/keras,MIT,2015-03-28 00:35:42+00:00,2020-12-11 22:00:44+00:00,2020-12-11 21:57:47+00:00,18680.0,3125.0,7213.0,50311.0,5352.0,2020-06-25 19:09:28+00:00,2.4.3,53.0,Deep Learning for humans.,14996.0,,891.0,35,https://pypi.org/project/keras,2020-06-24 22:40:48+00:00,14996.0,2059462.0,2059462.0,https://anaconda.org/anaconda/keras,2020-06-25 19:09:28+00:00,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n26,XGBoost,dmlc/xgboost,xgboost,,https://xgboost.readthedocs.io/en/latest/,ml-frameworks,,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03+00:00,2020-12-15 18:05:50+00:00,2020-12-15 14:23:23+00:00,7840.0,263.0,3595.0,20282.0,5144.0,2020-12-09 00:37:13+00:00,1.3.0,50.0,\"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..\",13728.0,12136.0,498.0,35,https://pypi.org/project/xgboost,2020-12-09 19:03:33+00:00,1592.0,2923544.0,2923566.0,,,,True,2,1786.0,,,,,,,,,,,,,,,,,,,,,,\n27,Airflow,apache/airflow,apache-airflow,conda-forge/airflow,,data-pipelines,,https://github.com/apache/airflow,https://github.com/apache/airflow,Apache-2.0,2015-04-13 18:04:58+00:00,2020-12-15 18:06:58+00:00,2020-12-15 11:03:16+00:00,7618.0,908.0,1708.0,19778.0,11114.0,2020-12-10 15:11:26+00:00,1.10.14,67.0,\"Platform to programmatically author, schedule, and monitor workflows.\",294.0,,1669.0,35,https://pypi.org/project/apache-airflow,2020-12-14 17:07:53+00:00,294.0,605361.0,650058.0,https://anaconda.org/conda-forge/airflow,,,True,1,62640.0,stable/airflow,,apache/airflow,https://hub.docker.com/r/apache/airflow,2020-12-14 22:58:02.205084+00:00,184.0,2972905.0,,,,,,,,,,,,,,,\n28,LightGBM,microsoft/LightGBM,lightgbm,lightgbm,,ml-frameworks,,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50+00:00,2020-12-15 14:10:05+00:00,2020-12-15 14:10:02+00:00,3136.0,88.0,1884.0,11934.0,2166.0,2020-12-08 17:54:08+00:00,3.1.1,24.0,\"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..\",5495.0,4939.0,190.0,35,https://pypi.org/project/lightgbm,2020-12-08 03:00:35+00:00,556.0,1542032.0,1543857.0,https://anaconda.org/anaconda/lightgbm,2020-12-08 17:54:08+00:00,0.0,True,2,80307.0,,,,,,,,,,,,,,,,,,,,,,\n29,gensim,RaRe-Technologies/gensim,gensim,,,nlp,,https://github.com/RaRe-Technologies/gensim,https://github.com/RaRe-Technologies/gensim,LGPL-2.1,2011-02-10 07:43:04+00:00,2020-11-30 16:35:17+00:00,2020-11-15 20:49:41+00:00,3825.0,349.0,1237.0,11484.0,3849.0,2020-05-04 05:55:15+00:00,3.8.3,83.0,Topic Modelling for Humans.,23947.0,19205.0,384.0,35,https://pypi.org/project/gensim,2020-11-15 12:53:37+00:00,4742.0,4780042.0,4780084.0,,,,False,1,2591.0,,,,,,,,,,,,,,,,,,,,,,\n30,Plotly,plotly/plotly.py,plotly,,,data-viz,,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08+00:00,2020-12-14 17:49:58+00:00,2020-12-11 15:56:41+00:00,1706.0,745.0,1032.0,8438.0,4879.0,2020-12-09 13:48:45+00:00,4.14.1,263.0,The interactive graphing library for Python (includes Plotly Express).,4991.0,5.0,157.0,35,https://pypi.org/project/plotly,2020-12-09 13:29:15+00:00,4982.0,2910610.0,2950288.0,,,,True,1,,,,,,,,,plotlywidget,https://www.npmjs.com/package/plotlywidget,2020-12-09 13:24:37.313000+00:00,4.0,39678.0,,,,,,,,,,\n31,torchvision,pytorch/vision,torchvision,,,image,['pytorch'],https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43+00:00,2020-12-15 13:24:55+00:00,2020-12-15 12:25:54+00:00,4100.0,458.0,1015.0,7943.0,1389.0,2020-12-10 17:10:41+00:00,0.8.2,21.0,\"Datasets, Transforms and Models specific to Computer Vision.\",41251.0,36639.0,344.0,35,https://pypi.org/project/torchvision,2020-12-10 16:27:20+00:00,4612.0,636177.0,636177.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n32,Seaborn,mwaskom/seaborn,seaborn,,,data-viz,,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19+00:00,2020-12-15 09:39:53+00:00,2020-12-12 23:42:14+00:00,1322.0,93.0,1630.0,7894.0,2720.0,2020-09-08 14:53:52+00:00,0.11.0,22.0,Statistical data visualization using matplotlib.,86166.0,73380.0,143.0,35,https://pypi.org/project/seaborn,2020-09-08 14:53:52+00:00,12786.0,2098635.0,2098636.0,,,,True,1,97.0,,,,,,,,,,,,,,,,,,,,,,\n33,dask,dask/dask,dask,,,distributed-ml,,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00+00:00,2020-12-15 18:24:20+00:00,2020-12-14 21:16:43+00:00,1197.0,688.0,2760.0,7621.0,6250.0,2020-12-11 01:53:58+00:00,2020.12.0,109.0,Parallel computing with task scheduling.,27610.0,23694.0,419.0,35,https://pypi.org/project/dask,2020-12-11 01:53:58+00:00,3916.0,1414050.0,1414050.0,,,,True,1,,stable/dask,,,,,,,,,,,,,,,,,,,,,\n34,Arrow,apache/arrow,pyarrow,,,data-containers,,https://github.com/apache/arrow,https://github.com/apache/arrow,Apache-2.0,2016-02-17 08:00:23+00:00,2020-12-15 17:58:30+00:00,2020-12-15 17:51:25+00:00,1685.0,112.0,535.0,6735.0,8105.0,2020-10-19 21:15:12+00:00,2.0.0,29.0,Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-..,1012.0,26.0,596.0,35,https://pypi.org/project/pyarrow,2020-10-19 21:15:12+00:00,986.0,9152075.0,9152075.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n35,PyMySQL,PyMySQL/PyMySQL,PyMySQL,,,db-clients,,https://github.com/PyMySQL/PyMySQL,https://github.com/PyMySQL/PyMySQL,MIT,2011-07-27 17:38:47+00:00,2020-12-10 02:51:07+00:00,2020-12-10 02:51:06+00:00,1238.0,18.0,515.0,6240.0,944.0,2020-09-10 07:38:01+00:00,0.10.1,32.0,Pure Python MySQL Client.,88390.0,69964.0,104.0,35,https://pypi.org/project/PyMySQL,2020-09-10 07:38:01+00:00,18426.0,5337434.0,5337434.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n36,google-cloud-storage,googleapis/google-cloud-python,google-cloud-storage,,,db-clients,,https://github.com/googleapis/google-cloud-python,https://github.com/googleapis/google-cloud-python,Apache-2.0,2014-01-28 15:51:47+00:00,2020-12-14 23:49:51+00:00,2020-10-29 21:15:18+00:00,1332.0,22.0,3312.0,3425.0,9049.0,2020-12-14 23:49:51+00:00,1.35.0,100.0,Google Cloud Client Library for Python.,2108.0,,311.0,35,https://pypi.org/project/google-cloud-storage,2020-12-14 23:49:51+00:00,2108.0,12758837.0,12758837.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n37,elasticsearch,elastic/elasticsearch-py,elasticsearch,,,db-clients,,https://github.com/elastic/elasticsearch-py,https://github.com/elastic/elasticsearch-py,Apache-2.0,2013-05-01 22:47:39+00:00,2020-12-14 23:50:16+00:00,2020-12-14 23:39:31+00:00,957.0,71.0,770.0,3041.0,1254.0,2020-12-09 17:27:30+00:00,7.10.1,64.0,Official Python low-level client for Elasticsearch.,29385.0,18811.0,167.0,35,https://pypi.org/project/elasticsearch,2020-12-09 17:25:00+00:00,10574.0,3931047.0,3931068.0,,,,True,2,43.0,,,,,,,,,,,,,,,,,,,,,,\n38,psycopg2,psycopg/psycopg2,psycopg2,psycopg2,,db-clients,,https://github.com/psycopg/psycopg2,https://github.com/psycopg/psycopg2,BSD-3-Clause-Attribution,2013-01-21 11:05:11+00:00,2020-12-05 11:06:47+00:00,2020-11-17 22:45:52+00:00,356.0,47.0,923.0,2000.0,2870.0,2020-09-06 22:41:27+00:00,2.8.6,45.0,PostgreSQL database adapter for the Python programming language.,401137.0,281925.0,110.0,35,https://pypi.org/project/psycopg2,2020-09-06 22:41:27+00:00,119212.0,5213018.0,5213018.0,https://anaconda.org/anaconda/psycopg2,2020-07-09 14:36:31+00:00,0.0,False,2,,,,,,,,,,,,,,,,,,,,,,,\n39,OpenAI Gym,openai/gym,gym,,,reinforcement-learning,,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16+00:00,2020-12-15 05:24:48+00:00,2020-11-09 18:24:26+00:00,6495.0,210.0,1060.0,22915.0,1237.0,2020-05-08 23:33:21+00:00,0.17.2,90.0,A toolkit for developing and comparing reinforcement learning algorithms.,19974.0,16412.0,271.0,34,https://pypi.org/project/gym,2020-05-08 23:33:21+00:00,3562.0,389455.0,389455.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n40,MXNet,apache/incubator-mxnet,mxnet,mxnet,,ml-frameworks,['mxnet'],https://github.com/apache/incubator-mxnet,https://github.com/apache/incubator-mxnet,Apache-2.0,2015-04-30 16:21:15+00:00,2020-12-15 18:12:59+00:00,2020-12-15 18:12:50+00:00,6790.0,1807.0,7535.0,19170.0,11482.0,2020-08-28 05:08:24+00:00,1.7.0,976.0,\"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..\",2088.0,1644.0,944.0,34,https://pypi.org/project/mxnet,2020-08-28 06:18:15+00:00,444.0,207918.0,208341.0,https://anaconda.org/anaconda/mxnet,2019-08-02 21:58:41+00:00,0.0,True,2,23278.0,,,,,,,,,,,,,,,,,,,,,,\n41,nltk,nltk/nltk,nltk,,,nlp,,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58+00:00,2020-12-12 21:05:28+00:00,2020-12-12 21:05:27+00:00,2397.0,243.0,1211.0,9490.0,,2019-08-20 10:55:21+00:00,3.4.5,39.0,Suite of libraries and programs for symbolic and statistical natural language processing for English.,103426.0,82434.0,380.0,34,https://pypi.org/project/nltk,2020-04-12 23:46:10+00:00,20992.0,4328115.0,4328115.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n42,Theano,Theano/Theano,theano,theano,,ml-frameworks,,https://github.com/Theano/Theano,https://github.com/Theano/Theano,BSD-3-Clause,2011-08-10 03:48:06+00:00,2020-09-05 10:41:31+00:00,2020-09-05 10:39:50+00:00,2501.0,674.0,2081.0,9300.0,28123.0,2020-07-27 16:13:54+00:00,1.0.5,45.0,\"Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-..\",15218.0,9744.0,382.0,34,https://pypi.org/project/theano,2020-07-27 16:13:54+00:00,5474.0,256454.0,256454.0,https://anaconda.org/anaconda/theano,2019-09-12 14:53:26+00:00,0.0,True,2,,,,,,,,,,,,,,,,,,,,,,,\n43,kafka-python,dpkp/kafka-python,kafka-python,,,db-clients,,https://github.com/dpkp/kafka-python,https://github.com/dpkp/kafka-python,Apache-2.0,2012-09-24 13:00:26+00:00,2020-12-03 15:19:38+00:00,2020-12-02 14:45:13+00:00,1099.0,135.0,1148.0,4131.0,2152.0,2020-09-30 07:33:37+00:00,2.0.1,36.0,Python client for Apache Kafka.,7491.0,5471.0,202.0,34,https://pypi.org/project/kafka-python,2020-09-30 07:24:01+00:00,2020.0,2258798.0,2258819.0,,,,True,2,1662.0,,,,,,,,,,,,,,,,,,,,,,\n44,Bokeh,bokeh/bokeh,bokeh,,,data-viz,,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01+00:00,2020-12-15 10:02:20+00:00,2020-12-08 07:51:38+00:00,3591.0,590.0,5709.0,14386.0,,2020-10-21 02:39:03+00:00,2.2.3,81.0,\"Interactive Data Visualization in the browser, from Python.\",34744.0,28872.0,540.0,33,https://pypi.org/project/bokeh,2020-12-08 11:21:40+00:00,5872.0,1060352.0,1060352.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n45,luigi,spotify/luigi,luigi,luigi,,data-pipelines,,https://github.com/spotify/luigi,https://github.com/spotify/luigi,Apache-2.0,2012-09-20 15:06:38+00:00,2020-12-13 00:29:03+00:00,2020-12-10 19:36:46+00:00,2172.0,52.0,832.0,14022.0,3939.0,2020-09-23 11:57:43+00:00,3.0.2,72.0,\"Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution,..\",1953.0,1277.0,546.0,33,https://pypi.org/project/luigi,2020-09-23 11:57:12+00:00,676.0,413769.0,413769.0,https://anaconda.org/anaconda/luigi,2020-07-20 20:26:45+00:00,,True,1,,stable/luigi,,,,,,,,,,,,,,,,,,,,,\n46,shap,slundberg/shap,shap,,,interpretability,,https://github.com/slundberg/shap,https://github.com/slundberg/shap,MIT,2016-11-22 19:17:08+00:00,2020-12-15 10:58:56+00:00,2020-12-10 17:34:54+00:00,1588.0,843.0,490.0,11145.0,1630.0,2020-11-04 21:38:32+00:00,0.37.0,92.0,A game theoretic approach to explain the output of any machine learning model.,1882.0,1746.0,139.0,33,https://pypi.org/project/shap,2020-11-04 21:38:32+00:00,136.0,727717.0,727717.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n47,pytorch-lightning,PyTorchLightning/pytorch-lightning,pytorch-lightning,conda-forge/pytorch-lightning,,ml-frameworks,['pytorch'],https://github.com/PyTorchLightning/pytorch-lightning,https://github.com/PyTorchLightning/pytorch-lightning,Apache-2.0,2019-03-31 00:45:57+00:00,2020-12-15 18:01:59+00:00,2020-12-15 17:59:13+00:00,1237.0,339.0,2288.0,10763.0,3963.0,2020-12-10 01:16:51+00:00,1.1.0,141.0,\"The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.\",1450.0,1436.0,343.0,33,https://pypi.org/project/pytorch-lightning,2020-12-12 09:20:01+00:00,14.0,113089.0,113089.0,https://anaconda.org/conda-forge/pytorch-lightning,,,True,2,7.0,,,,,,,,,,,,,,,,,,,,,,\n48,onnx,onnx/onnx,onnx,,,model-serialisation,,https://github.com/onnx/onnx,https://github.com/onnx/onnx,MIT,2017-09-07 04:53:45+00:00,2020-12-13 16:50:57+00:00,2020-12-03 21:51:57+00:00,1723.0,501.0,903.0,9497.0,1650.0,2020-11-07 00:55:30+00:00,1.8.0,19.0,Open standard for machine learning interoperability.,2531.0,2235.0,188.0,33,https://pypi.org/project/onnx,2020-11-06 22:46:10+00:00,296.0,332599.0,332837.0,,,,True,1,9065.0,,,,,,,,,,,,,,,,,,,,,,\n49,mlflow,mlflow/mlflow,mlflow,,,ml-experiments,,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58+00:00,2020-12-15 16:22:27+00:00,2020-12-15 09:15:38+00:00,1795.0,628.0,1014.0,7989.0,1786.0,2020-11-19 07:43:19+00:00,1.12.1,38.0,Open source platform for the machine learning lifecycle.,1817.0,1663.0,267.0,33,https://pypi.org/project/mlflow,2020-11-19 07:30:38+00:00,154.0,2708871.0,2708871.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n50,xlrd,python-excel/xlrd,xlrd,,,data-loading,,https://github.com/python-excel/xlrd,https://github.com/python-excel/xlrd,BSD-3-Clause,2012-03-07 04:50:48+00:00,2020-12-12 15:24:26+00:00,2020-12-12 15:24:25+00:00,406.0,3.0,,1828.0,502.0,2020-12-11 10:14:20+00:00,2.0.1,24.0,Please use openpyxl where you can...,72572.0,58998.0,50.0,33,https://pypi.org/project/xlrd,2020-12-11 10:14:20+00:00,13574.0,5633396.0,5633396.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n51,Fastai,fastai/fastai,fastai,,,ml-frameworks,['pytorch'],https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36+00:00,2020-12-14 17:56:43+00:00,2020-12-14 17:56:42+00:00,6865.0,55.0,1253.0,20089.0,1577.0,2020-12-13 19:01:35+00:00,2.1.9,109.0,\"The fastai deep learning library, plus lessons and tutorials.\",368.0,,472.0,32,https://pypi.org/project/fastai,2020-12-13 19:01:35+00:00,368.0,118393.0,118393.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n52,Ray,ray-project/ray,ray,,,distributed-ml,,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30+00:00,2020-12-15 18:39:48+00:00,2020-12-15 18:38:46+00:00,2228.0,1185.0,4285.0,14087.0,6687.0,2020-11-19 22:43:00+00:00,ray-1.0.1.post1,42.0,\"An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged..\",1519.0,1359.0,407.0,32,https://pypi.org/project/ray,2020-11-19 22:42:38+00:00,160.0,210424.0,210424.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n53,jax,google/jax,jax,,,ml-frameworks,,https://github.com/google/jax,https://github.com/google/jax,Apache-2.0,2018-10-25 21:25:02+00:00,2020-12-15 18:16:07+00:00,2020-12-15 17:41:51+00:00,886.0,685.0,1305.0,10677.0,6310.0,2020-12-05 06:20:45+00:00,0.2.7,86.0,\"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.\",914.0,868.0,238.0,32,https://pypi.org/project/jax,2020-12-05 06:20:45+00:00,46.0,68744.0,68744.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n54,imgaug,aleju/imgaug,imgaug,,,image,,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33+00:00,2020-10-19 12:23:22+00:00,2020-06-01 14:58:26+00:00,1933.0,211.0,203.0,10389.0,2913.0,2020-02-06 06:18:40+00:00,0.4.0,11.0,Image augmentation for machine learning experiments.,5029.0,4751.0,36.0,32,https://pypi.org/project/imgaug,2020-02-05 20:54:22+00:00,278.0,153911.0,153911.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n55,AllenNLP,allenai/allennlp,allennlp,,,nlp,['pytorch'],https://github.com/allenai/allennlp,https://github.com/allenai/allennlp,Apache-2.0,2017-05-15 15:52:41+00:00,2020-12-15 14:56:48+00:00,2020-12-12 01:51:19+00:00,1914.0,132.0,2102.0,9478.0,2349.0,2020-11-17 18:26:44+00:00,1.2.2,154.0,\"An open-source NLP research library, built on PyTorch.\",1434.0,1317.0,229.0,32,https://pypi.org/project/allennlp,2020-11-17 18:37:28+00:00,117.0,22207.0,22207.0,,,,True,1,36.0,,,,,,,,,,,,,,,,,,,,,,\n56,Chainer,chainer/chainer,chainer,,,ml-frameworks,,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37+00:00,2020-11-25 04:04:52+00:00,2020-11-19 02:38:55+00:00,1371.0,16.0,2015.0,5496.0,30534.0,2020-07-30 09:01:53+00:00,7.7.0,108.0,A flexible framework of neural networks for deep learning.,2466.0,1724.0,317.0,32,https://pypi.org/project/chainer,2020-07-30 09:01:53+00:00,742.0,20849.0,20849.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n57,PyMC3,pymc-devs/pymc3,pymc3,,,probabilistics,,https://github.com/pymc-devs/pymc3,https://github.com/pymc-devs/pymc3,Apache-2.0,2009-05-05 09:43:50+00:00,2020-12-15 12:09:47+00:00,2020-12-14 16:11:18+00:00,1316.0,150.0,1934.0,5431.0,7590.0,2020-12-07 15:59:43+00:00,3.10.0,30.0,Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano.,2106.0,1820.0,300.0,32,https://pypi.org/project/pymc3,2020-12-07 15:45:00+00:00,286.0,131614.0,131615.0,,,,True,1,145.0,,,,,,,,,,,,,,,,,,,,,,\n58,Beam,apache/beam,apache-beam,,,data-pipelines,,https://github.com/apache/beam,https://github.com/apache/beam,Apache-2.0,2016-02-02 08:00:06+00:00,2020-12-15 18:45:12+00:00,2020-12-15 18:36:22+00:00,2739.0,115.0,,4444.0,29952.0,2020-12-11 21:24:20+00:00,2.26.0,29.0,\"Unified programming model to define and execute data processing pipelines, including ETL, batch and stream processing.\",186.0,,979.0,32,https://pypi.org/project/apache-beam,2020-12-11 19:58:03+00:00,186.0,1804028.0,1804028.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n59,xmltodict,martinblech/xmltodict,xmltodict,,,data-loading,,https://github.com/martinblech/xmltodict,https://github.com/martinblech/xmltodict,MIT,2012-04-17 14:38:21+00:00,2020-11-05 01:54:38+00:00,2020-04-26 05:15:03+00:00,393.0,63.0,134.0,4193.0,205.0,2019-02-11 07:00:26+00:00,0.12.0,27.0,Python module that makes working with XML feel like you are working with JSON.,27425.0,19191.0,41.0,32,https://pypi.org/project/xmltodict,2019-02-11 07:00:26+00:00,8234.0,4371507.0,4371507.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n60,Tablib,jazzband/tablib,tablib,,,data-loading,,https://github.com/jazzband/tablib,https://github.com/jazzband/tablib,MIT,2011-03-28 02:36:50+00:00,2020-12-13 06:03:08+00:00,2020-12-11 07:22:54+00:00,557.0,34.0,197.0,3815.0,1123.0,2020-12-05 14:56:28+00:00,3.0.0,38.0,\"Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c.\",11090.0,8732.0,110.0,32,https://pypi.org/project/tablib,2020-12-05 14:56:28+00:00,2358.0,628489.0,628489.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n61,TensorFlow Datasets,tensorflow/datasets,tensorflow-datasets,,,data-loading,['tensorflow'],https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22+00:00,2020-12-15 17:27:00+00:00,2020-12-14 21:59:44+00:00,877.0,380.0,493.0,2567.0,3621.0,2020-11-04 12:02:52+00:00,4.1.0,19.0,\"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...\",3189.0,3087.0,175.0,32,https://pypi.org/project/tensorflow-datasets,2020-10-09 17:47:49+00:00,102.0,541067.0,541067.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n62,GeoPandas,geopandas/geopandas,geopandas,,,geospatial-data,['pandas'],https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47+00:00,2020-12-14 22:08:01+00:00,2020-12-07 09:34:03+00:00,528.0,294.0,641.0,2388.0,1300.0,2020-07-15 17:59:00+00:00,0.8.1,34.0,Python tools for geographic data.,7713.0,6547.0,126.0,32,https://pypi.org/project/geopandas,2020-06-24 13:38:40+00:00,1166.0,462279.0,462294.0,,,,True,1,825.0,,,,,,,,,,,,,,,,,,,,,,\n63,Thinc,explosion/thinc,thinc,,,ml-frameworks,,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59+00:00,2020-12-15 14:57:14+00:00,2020-12-15 14:42:16+00:00,185.0,13.0,80.0,2117.0,4862.0,2020-12-11 09:45:43+00:00,7.4.5,181.0,\"A refreshing functional take on deep learning, compatible with your favorite libraries.\",11135.0,9997.0,33.0,32,https://pypi.org/project/thinc,2020-12-11 09:11:33+00:00,1138.0,1022261.0,1022261.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n64,xarray,pydata/xarray,xarray,,,data-containers,,https://github.com/pydata/xarray,https://github.com/pydata/xarray,Apache-2.0,2013-09-30 17:21:10+00:00,2020-12-15 18:02:54+00:00,2020-12-15 16:40:37+00:00,609.0,766.0,1834.0,1876.0,3421.0,2020-11-30 21:28:55+00:00,0.16.2,55.0,N-D labeled arrays and datasets in Python.,5730.0,4598.0,285.0,32,https://pypi.org/project/xarray,2020-11-30 21:26:20+00:00,1132.0,304541.0,304541.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n65,imageio,imageio/imageio,imageio,,,image,,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45+00:00,2020-12-11 13:32:14+00:00,2020-12-07 13:48:21+00:00,160.0,59.0,269.0,811.0,1125.0,2020-07-10 07:45:22+00:00,2.9.0,31.0,Python library for reading and writing image data.,37149.0,33311.0,69.0,32,https://pypi.org/project/imageio,2020-07-06 13:20:41+00:00,3838.0,1716555.0,1716555.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n66,DeepSpeech,mozilla/DeepSpeech,deepspeech,,,audio,['tensorflow'],https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53+00:00,2020-12-13 18:13:08+00:00,2020-12-08 13:48:32+00:00,2959.0,80.0,1818.0,16028.0,3315.0,2020-12-10 15:58:47+00:00,0.9.3,100.0,\"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..\",393.0,364.0,152.0,31,https://pypi.org/project/deepspeech,2020-11-05 10:06:04+00:00,29.0,15860.0,29618.0,,,,True,1,371470.0,,,,,,,,,,,,,,,,,,,,,,\n67,tensor2tensor,tensorflow/tensor2tensor,tensor2tensor,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/tensor2tensor,https://github.com/tensorflow/tensor2tensor,Apache-2.0,2017-06-15 16:57:39+00:00,2020-12-15 01:23:04+00:00,2020-11-16 14:28:10+00:00,2682.0,545.0,661.0,10678.0,4345.0,2020-06-17 16:15:36+00:00,1.15.7,79.0,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,938.0,856.0,230.0,31,https://pypi.org/project/tensor2tensor,2020-06-17 16:15:36+00:00,82.0,48630.0,48630.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n68,fairseq,pytorch/fairseq,fairseq,,,nlp,['pytorch'],https://github.com/pytorch/fairseq,https://github.com/pytorch/fairseq,MIT,2017-08-29 16:26:12+00:00,2020-12-15 07:45:25+00:00,2020-12-14 19:37:18+00:00,2676.0,567.0,1708.0,10662.0,1671.0,2020-11-21 20:52:43+00:00,0.10.1,12.0,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,263.0,243.0,279.0,31,https://pypi.org/project/fairseq,2020-11-21 20:52:43+00:00,20.0,8626.0,8627.0,,,,True,1,45.0,,,,,,,,,,,,,,,,,,,,,,\n69,ChatterBot,gunthercox/ChatterBot,chatterbot,,,nlp,,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00+00:00,2020-12-03 22:49:16+00:00,2020-08-20 21:16:14+00:00,3563.0,195.0,1217.0,10624.0,1847.0,2020-08-22 18:42:43+00:00,1.0.8,86.0,\"ChatterBot is a machine learning, conversational dialog engine for creating chat bots.\",3645.0,2965.0,103.0,31,https://pypi.org/project/chatterbot,2020-08-22 18:40:36+00:00,680.0,20543.0,20543.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n70,pyecharts,pyecharts/pyecharts,pyecharts,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,data-viz,['jupyter'],https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25+00:00,2020-10-30 03:17:30+00:00,2020-10-29 15:09:15+00:00,2278.0,28.0,1308.0,10204.0,1509.0,2020-10-29 15:14:08+00:00,1.9.0,66.0,Python Echarts Plotting Library.,1661.0,1379.0,28.0,31,https://pypi.org/project/pyecharts,2020-10-29 15:14:08+00:00,282.0,26620.0,26620.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n71,wordcloud,amueller/word_cloud,wordcloud,,,data-viz,,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59+00:00,2020-11-11 22:07:32+00:00,2020-11-11 21:35:51+00:00,2001.0,91.0,343.0,7709.0,540.0,2020-11-11 21:41:02+00:00,1.8.1,16.0,A little word cloud generator in Python.,8976.0,7872.0,58.0,31,https://pypi.org/project/wordcloud,2020-11-11 21:41:02+00:00,1104.0,264295.0,264295.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n72,Catboost,catboost/catboost,catboost,,,ml-frameworks,,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04+00:00,2020-12-15 17:29:09+00:00,2020-12-15 17:29:04+00:00,848.0,293.0,1017.0,5589.0,13826.0,2020-11-18 14:56:33+00:00,0.24.3,89.0,\"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..\",81.0,,699.0,31,https://pypi.org/project/catboost,2020-08-26 22:16:16+00:00,81.0,617799.0,618947.0,,,,True,2,44785.0,,,,,,,,,,,,,,,,,,,,,,\n73,Hyperopt,hyperopt/hyperopt,hyperopt,,,hyperopt,,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59+00:00,2020-11-18 08:38:03+00:00,2020-11-18 08:38:01+00:00,841.0,322.0,219.0,5260.0,1167.0,2020-10-07 09:52:56+00:00,0.2.5,11.0,Distributed Asynchronous Hyperparameter Optimization in Python.,2853.0,2349.0,83.0,31,https://pypi.org/project/hyperopt,2020-10-07 09:52:56+00:00,504.0,528159.0,528159.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n74,folium,python-visualization/folium,folium,,,geospatial-data,,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35+00:00,2020-12-13 17:58:25+00:00,2020-11-29 11:59:51+00:00,1857.0,143.0,680.0,5039.0,1460.0,2020-05-07 13:33:22+00:00,0.11.0,22.0,Python Data. Leaflet.js Maps.,8654.0,7686.0,116.0,31,https://pypi.org/project/folium,2020-05-07 13:33:22+00:00,968.0,265189.0,265189.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n75,sentencepiece,google/sentencepiece,sentencepiece,,,nlp,,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48+00:00,2020-12-12 08:07:26+00:00,2020-12-12 08:07:24+00:00,594.0,35.0,360.0,4634.0,639.0,2020-10-24 05:57:45+00:00,0.1.94,29.0,Unsupervised text tokenizer for Neural Network-based text generation.,5049.0,4929.0,46.0,31,https://pypi.org/project/sentencepiece,2020-10-24 05:57:45+00:00,120.0,1372633.0,1372948.0,,,,True,1,8829.0,,,,,,,,,,,,,,,,,,,,,,\n76,tensorflow-probability,tensorflow/probability,tensorflow-probability,,,probabilistics,['tensorflow'],https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54+00:00,2020-12-15 18:16:54+00:00,2020-12-15 18:16:49+00:00,822.0,409.0,502.0,3159.0,10121.0,2020-10-09 23:49:08+00:00,0.11.1,33.0,Probabilistic reasoning and statistical analysis in TensorFlow.,253.0,1.0,397.0,31,https://pypi.org/project/tensorflow-probability,2020-11-11 05:06:46+00:00,252.0,261926.0,261926.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n77,Elasticsearch DSL,elastic/elasticsearch-dsl-py,elasticsearch-dsl,,,db-clients,,https://github.com/elastic/elasticsearch-dsl-py,https://github.com/elastic/elasticsearch-dsl-py,Apache-2.0,2014-03-05 16:19:39+00:00,2020-12-09 17:31:23+00:00,2020-12-08 20:53:06+00:00,665.0,54.0,1093.0,3114.0,1007.0,2020-09-17 13:45:33+00:00,7.3.0,32.0,High level Python client for Elasticsearch.,5566.0,4010.0,121.0,31,https://pypi.org/project/elasticsearch-dsl,2020-09-17 13:41:36+00:00,1556.0,965347.0,965353.0,,,,True,2,19.0,,,,,,,,,,,,,,,,,,,,,,\n78,geopy,geopy/geopy,geopy,,,geospatial-data,,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28+00:00,2020-11-16 12:27:47+00:00,2020-09-13 20:17:58+00:00,521.0,27.0,204.0,3103.0,970.0,2020-06-27 20:47:54+00:00,2.0.0,56.0,Geocoding library for Python.,21843.0,14599.0,115.0,31,https://pypi.org/project/geopy,2020-06-27 20:42:36+00:00,7244.0,2454356.0,2454356.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n79,scikit-optimize,scikit-optimize/scikit-optimize,scikit-optimize,,,hyperopt,,https://github.com/scikit-optimize/scikit-optimize,https://github.com/scikit-optimize/scikit-optimize,BSD-3-Clause,2016-03-20 21:10:54+00:00,2020-12-04 21:07:23+00:00,2020-09-29 13:32:21+00:00,366.0,160.0,352.0,1985.0,1540.0,2020-09-04 09:08:10+00:00,0.8.1,22.0,Sequential model-based optimization with a `scipy.optimize` interface.,1397.0,1237.0,67.0,31,https://pypi.org/project/scikit-optimize,2020-09-04 09:08:10+00:00,160.0,565371.0,565371.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n80,Prometheus Client,prometheus/client_python,prometheus_client,conda-forge/prometheus_client,,db-clients,,https://github.com/prometheus/client_python,https://github.com/prometheus/client_python,Apache-2.0,2015-02-10 22:47:25+00:00,2020-11-24 10:28:49+00:00,2020-11-24 10:28:43+00:00,489.0,27.0,284.0,1924.0,406.0,2020-11-16 13:40:13+00:00,0.9.0,33.0,Prometheus instrumentation library for Python applications.,3738.0,,95.0,31,https://pypi.org/project/prometheus_client,2019-06-20 13:35:09+00:00,3738.0,10406076.0,10406076.0,https://anaconda.org/conda-forge/prometheus_client,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n81,MNE,mne-tools/mne-python,mne,,,medical-data,,https://github.com/mne-tools/mne-python,https://github.com/mne-tools/mne-python,BSD-3-Clause,2011-01-28 03:31:13+00:00,2020-12-15 18:40:08+00:00,2020-12-15 18:40:06+00:00,829.0,301.0,3052.0,1453.0,15648.0,2020-11-30 16:11:19+00:00,0.21.2,49.0,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,941.0,743.0,234.0,31,https://pypi.org/project/mne,2020-11-16 12:57:08+00:00,198.0,41566.0,41566.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n82,influxdb,influxdata/influxdb-python,influxdb,,,db-clients,,https://github.com/influxdata/influxdb-python,https://github.com/influxdata/influxdb-python,MIT,2013-11-05 19:27:16+00:00,2020-12-06 21:24:47+00:00,2020-11-11 21:03:24+00:00,479.0,130.0,366.0,1438.0,961.0,2020-11-11 21:23:41+00:00,5.3.1,54.0,Python client for InfluxDB.,5836.0,3726.0,133.0,31,https://pypi.org/project/influxdb,2020-11-11 21:23:41+00:00,2110.0,1119542.0,1119542.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n83,Cassandra Driver,datastax/python-driver,cassandra-driver,conda-forge/cassandra-driver,,db-clients,,https://github.com/datastax/python-driver,https://github.com/datastax/python-driver,Apache-2.0,2013-07-08 19:02:31+00:00,2020-11-30 17:16:16+00:00,2020-11-11 00:22:01+00:00,446.0,13.0,,1198.0,5939.0,2020-06-18 14:44:49+00:00,3.24.0,70.0,DataStax Python Driver for Apache Cassandra.,3485.0,2299.0,174.0,31,https://pypi.org/project/cassandra-driver,2020-06-18 14:44:49+00:00,1186.0,542608.0,542608.0,https://anaconda.org/conda-forge/cassandra-driver,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n84,TF Addons,tensorflow/addons,tensorflow-addons,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17+00:00,2020-12-15 18:19:44+00:00,2020-12-15 18:19:40+00:00,390.0,157.0,594.0,1123.0,1290.0,2020-08-27 03:29:56+00:00,0.11.2,23.0,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,1746.0,1737.0,144.0,31,https://pypi.org/project/tensorflow-addons,2020-10-11 19:34:04+00:00,9.0,458934.0,458934.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n85,fastText,facebookresearch/fastText,fasttext,,,nlp,,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42+00:00,2020-10-31 15:50:36+00:00,2020-07-18 00:20:40+00:00,4198.0,400.0,587.0,22018.0,379.0,2020-04-28 09:54:50+00:00,0.9.2,35.0,Library for fast text representation and classification.,1556.0,1366.0,58.0,30,https://pypi.org/project/fasttext,2020-04-28 09:54:50+00:00,190.0,115990.0,115990.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n86,zipline,quantopian/zipline,zipline,,,financial-data,,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29+00:00,2020-12-11 13:52:22+00:00,2020-10-14 16:36:49+00:00,3590.0,318.0,644.0,12902.0,6226.0,2020-10-05 15:46:20.429000+00:00,1.4.1,30.0,\"Zipline, a Pythonic Algorithmic Trading Library.\",727.0,648.0,151.0,30,https://pypi.org/project/zipline,2020-10-05 15:46:20.429000+00:00,79.0,3526.0,3526.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n87,Prophet,facebook/prophet,fbprophet,,,time-series-data,,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08+00:00,2020-12-08 23:35:56+00:00,2020-12-08 23:35:54+00:00,3393.0,91.0,1390.0,11950.0,603.0,2020-09-05 16:12:50+00:00,0.7.1,14.0,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,150.0,,121.0,30,https://pypi.org/project/fbprophet,2020-09-05 16:12:50+00:00,150.0,722389.0,722400.0,,,,True,1,518.0,,,,,,,,,,,,,,,,,,,,,,\n88,horovod,horovod/horovod,horovod,,,distributed-ml,,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59+00:00,2020-12-15 17:31:34+00:00,2020-12-15 17:26:27+00:00,1681.0,254.0,1355.0,10552.0,817.0,2020-11-23 23:57:42+00:00,0.21.0,60.0,\"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.\",318.0,298.0,109.0,30,https://pypi.org/project/horovod,2020-10-01 14:54:24+00:00,20.0,109199.0,109199.0,,,,True,1,,stable/horovod,,,,,,,,,,,,,,,,,,,,,\n89,Rasa,RasaHQ/rasa,rasa,,,nlp,['tensorflow'],https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49+00:00,2020-12-15 18:16:20+00:00,2020-12-15 08:43:05+00:00,3150.0,499.0,4263.0,10322.0,24060.0,2020-12-11 08:29:03+00:00,2.2.0a1,169.0,\"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..\",64.0,,452.0,30,https://pypi.org/project/rasa,2020-12-11 08:28:53+00:00,64.0,58767.0,58767.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n90,flair,flairNLP/flair,flair,,,nlp,['pytorch'],https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,MIT,2018-06-11 11:04:18+00:00,2020-12-15 10:29:58+00:00,2020-12-11 11:43:13+00:00,1405.0,113.0,1279.0,9680.0,2947.0,2020-12-01 19:35:00+00:00,0.7,19.0,A very simple framework for state-of-the-art Natural Language Processing (NLP).,609.0,561.0,156.0,30,https://pypi.org/project/flair,2020-12-01 19:02:38+00:00,48.0,33667.0,33667.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n91,TFlearn,tflearn/tflearn,tflearn,,,ml-frameworks,['tensorflow'],https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,MIT,2016-03-31 12:05:53+00:00,2020-11-30 04:35:03+00:00,2020-11-30 04:34:51+00:00,2423.0,574.0,358.0,9479.0,613.0,2020-11-11 19:26:11+00:00,0.5.0,8.0,Deep learning library featuring a higher-level API for TensorFlow.,3308.0,2827.0,128.0,30,https://pypi.org/project/tflearn,2020-11-11 19:13:47+00:00,481.0,16763.0,16763.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n92,Vowpal Wabbit,VowpalWabbit/vowpal_wabbit,vowpalwabbit,,,ml-frameworks,,https://github.com/VowpalWabbit/vowpal_wabbit,https://github.com/VowpalWabbit/vowpal_wabbit,BSD-3-Clause,2009-07-31 19:36:58+00:00,2020-12-15 18:16:54+00:00,2020-12-11 18:54:50+00:00,1696.0,161.0,855.0,7353.0,8957.0,2020-11-12 14:41:09+00:00,8.9.0,12.0,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,94.0,86.0,295.0,30,https://pypi.org/project/vowpalwabbit,2020-11-12 14:41:09+00:00,8.0,17359.0,17359.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n93,Prefect,PrefectHQ/prefect,prefect,conda-forge/prefect,,data-pipelines,,https://github.com/PrefectHQ/prefect,https://github.com/PrefectHQ/prefect,Apache-2.0,2018-06-29 21:59:26+00:00,2020-12-15 17:39:40+00:00,2020-12-15 17:39:38+00:00,455.0,219.0,1230.0,5547.0,12868.0,2020-12-08 17:07:04+00:00,0.13.19,76.0,The easiest way to automate your data.,214.0,212.0,166.0,30,https://pypi.org/project/prefect,2020-12-08 17:07:04+00:00,2.0,39716.0,39716.0,https://anaconda.org/conda-forge/prefect,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n94,SpeechRecognition,Uberi/speech_recognition,SpeechRecognition,,,audio,,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54+00:00,2020-12-06 16:23:37+00:00,2019-07-02 17:29:47+00:00,1827.0,194.0,269.0,5284.0,360.0,2017-12-05 14:05:14+00:00,3.8.1,52.0,\"Speech recognition module for Python, supporting several engines and APIs, online and offline.\",7157.0,6069.0,41.0,30,https://pypi.org/project/SpeechRecognition,2017-12-05 13:58:29+00:00,1088.0,133345.0,133345.0,,,,False,1,,,,,,,,,,,,,,,,,,,,,,,\n95,CuPy,cupy/cupy,cupy,,,gpu-utilities,,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45+00:00,2020-12-15 16:25:31+00:00,2020-12-15 02:32:50+00:00,427.0,357.0,840.0,4723.0,19981.0,2020-11-26 07:02:45+00:00,8.2.0,83.0,A NumPy-compatible array library accelerated by CUDA.,813.0,621.0,251.0,30,https://pypi.org/project/cupy,2020-11-26 07:01:08+00:00,192.0,8755.0,9774.0,,,,True,1,2410.0,,,cupy/cupy,https://hub.docker.com/r/cupy/cupy,2020-12-15 02:38:08.880948+00:00,6.0,47422.0,,,,,,,,,,,,,,,\n96,Optuna,optuna/optuna,optuna,,,hyperopt,,https://github.com/optuna/optuna,https://github.com/optuna/optuna,MIT,2018-02-21 06:12:56+00:00,2020-12-15 13:20:25+00:00,2020-12-15 13:20:23+00:00,428.0,161.0,437.0,3729.0,8390.0,2020-11-04 04:28:46+00:00,2.3.0,33.0,A hyperparameter optimization framework.,835.0,783.0,119.0,30,https://pypi.org/project/optuna,2020-11-04 04:29:39+00:00,52.0,162685.0,162685.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n97,Tesseract,madmaze/pytesseract,pytesseract,conda-forge/pytesseract,,ocr,,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49+00:00,2020-12-15 17:32:26+00:00,2020-12-15 17:29:37+00:00,503.0,7.0,234.0,3310.0,347.0,2020-12-15 05:24:52+00:00,0.3.7,24.0,Python-tesseract is an optical character recognition (OCR) tool for python.,9248.0,7820.0,34.0,30,https://pypi.org/project/pytesseract,2020-12-15 05:24:52+00:00,1428.0,318291.0,318291.0,https://anaconda.org/conda-forge/pytesseract,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n98,MLxtend,rasbt/mlxtend,mlxtend,conda-forge/mlxtend,,others,['sklearn'],https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16+00:00,2020-12-03 23:11:48+00:00,2020-12-03 23:11:47+00:00,683.0,99.0,260.0,3244.0,1140.0,2020-11-26 04:18:15+00:00,0.18.0,46.0,A library of extension and helper modules for Python's data analysis and machine learning libraries.,2272.0,2177.0,78.0,30,https://pypi.org/project/mlxtend,2020-11-26 04:18:15+00:00,95.0,214361.0,214361.0,https://anaconda.org/conda-forge/mlxtend,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n99,bqplot,bloomberg/bqplot,bqplot,,,data-viz,['jupyter'],https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18+00:00,2020-12-11 07:53:24+00:00,2020-12-10 17:49:51+00:00,404.0,204.0,312.0,2959.0,3196.0,2020-11-05 14:39:24+00:00,0.12.19,87.0,Plotting library for IPython/Jupyter notebooks.,1238.0,1116.0,51.0,30,https://pypi.org/project/bqplot,2020-11-05 14:39:24+00:00,112.0,17227.0,163706.0,,,,True,2,,,,,,,,,bqplot,https://www.npmjs.com/package/bqplot,2020-10-12 19:58:11.526000+00:00,10.0,146479.0,,,,,,,,,,\n100,torchtext,pytorch/text,torchtext,,,nlp,['pytorch'],https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03+00:00,2020-12-15 12:30:39+00:00,2020-12-04 18:18:28+00:00,584.0,261.0,309.0,2586.0,686.0,2020-12-10 17:03:55+00:00,0.8.1,12.0,Data loaders and abstractions for text and NLP.,3984.0,3302.0,98.0,30,https://pypi.org/project/torchtext,2020-12-10 16:28:00+00:00,682.0,139882.0,139882.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n101,mrjob,Yelp/mrjob,mrjob,,,data-pipelines,,https://github.com/Yelp/mrjob,https://github.com/Yelp/mrjob,Apache-2.0,2010-10-13 18:35:21+00:00,2020-11-16 22:20:27+00:00,2020-11-16 22:20:52+00:00,590.0,199.0,1089.0,2523.0,8622.0,2020-09-17 22:26:01+00:00,0.7.4,60.0,Run MapReduce jobs on Hadoop or Amazon Web Services.,742.0,630.0,142.0,30,https://pypi.org/project/mrjob,2020-09-17 22:26:01+00:00,112.0,135471.0,135471.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n102,confluent-kafka-python,confluentinc/confluent-kafka-python,confluent-kafka,,,db-clients,,https://github.com/confluentinc/confluent-kafka-python,https://github.com/confluentinc/confluent-kafka-python,Apache-2.0,2016-04-14 07:40:41+00:00,2020-12-03 23:05:45+00:00,2020-11-24 15:38:23+00:00,542.0,230.0,465.0,2071.0,628.0,2020-07-22 08:23:51+00:00,1.5.0,20.0,Confluent's Kafka Python Client.,2204.0,1902.0,66.0,30,https://pypi.org/project/confluent-kafka,2020-07-22 07:50:57+00:00,302.0,1021306.0,1021306.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n103,pyodbc,mkleehammer/pyodbc,pyodbc,,,db-clients,,https://github.com/mkleehammer/pyodbc,https://github.com/mkleehammer/pyodbc,MIT,2008-10-03 15:19:37+00:00,2020-11-26 00:31:04+00:00,2020-10-26 13:28:37+00:00,407.0,215.0,510.0,1941.0,347.0,2020-02-08 18:09:57+00:00,4.0.30,48.0,Python ODBC bridge.,3262.0,,36.0,30,https://pypi.org/project/pyodbc,2020-02-10 15:43:28+00:00,3262.0,4150212.0,4150212.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n104,smart-open,RaRe-Technologies/smart_open,smart-open,,,data-loading,,https://github.com/RaRe-Technologies/smart_open,https://github.com/RaRe-Technologies/smart_open,MIT,2015-01-02 13:05:52+00:00,2020-12-10 02:54:44+00:00,2020-12-10 02:54:39+00:00,261.0,69.0,224.0,1857.0,821.0,2020-11-27 06:14:57+00:00,4.0.1,44.0,\"Utils for streaming large files (S3, HDFS, gzip, bz2...).\",640.0,,68.0,30,https://pypi.org/project/smart-open,2020-11-27 06:14:05+00:00,640.0,5593593.0,5593593.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n105,mysqlclient,PyMySQL/mysqlclient-python,mysqlclient,conda-forge/mysqlclient,,db-clients,,https://github.com/PyMySQL/mysqlclient,https://github.com/PyMySQL/mysqlclient,GPL-2.0,2014-04-28 05:09:06+00:00,2020-12-11 03:30:10+00:00,2020-12-11 03:30:08+00:00,305.0,5.0,244.0,1838.0,978.0,2020-12-10 04:03:30+00:00,2.0.2,30.0,MySQL database connector for Python (with Python 3 support).,13536.0,,64.0,30,https://pypi.org/project/mysqlclient,2020-12-10 04:03:30+00:00,13536.0,1872758.0,1872859.0,https://anaconda.org/conda-forge/mysqlclient,,,False,2,5156.0,,,,,,,,,,,,,,,,,,,,,,\n106,python-magic,ahupp/python-magic,python-magic,,,data-loading,,https://github.com/ahupp/python-magic,https://github.com/ahupp/python-magic,MIT,2010-03-31 22:40:33+00:00,2020-12-11 19:57:08+00:00,2020-12-11 19:57:07+00:00,202.0,30.0,125.0,1784.0,244.0,2020-05-06 02:30:25+00:00,0.4.18,18.0,A python wrapper for libmagic.,15962.0,10830.0,47.0,30,https://pypi.org/project/python-magic,2020-05-06 02:30:25+00:00,5132.0,1537088.0,1537088.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n107,pandas-datareader,pydata/pandas-datareader,pandas-datareader,,,data-loading,['pandas'],https://github.com/pydata/pandas-datareader,https://github.com/pydata/pandas-datareader,BSD-3-Clause,2015-01-15 00:34:19+00:00,2020-12-13 15:34:30+00:00,2020-09-02 15:23:21+00:00,489.0,69.0,368.0,1753.0,762.0,2020-07-10 10:04:14+00:00,0.9.0,21.0,Extract data from a wide range of Internet sources into a pandas DataFrame.,8448.0,7042.0,76.0,30,https://pypi.org/project/pandas-datareader,2020-07-10 10:04:14+00:00,1406.0,108773.0,108773.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n108,opencv-python,skvark/opencv-python,opencv-python,,,image,,https://github.com/skvark/opencv-python,https://github.com/skvark/opencv-python,MIT,2016-04-08 13:36:40+00:00,2020-12-11 17:47:37+00:00,2020-12-11 17:47:36+00:00,294.0,19.0,355.0,1632.0,609.0,2020-11-03 19:09:10+00:00,46,46.0,\"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..\",12560.0,,27.0,30,https://pypi.org/project/opencv-python,2020-11-02 16:36:07+00:00,12560.0,2762251.0,2762251.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n109,Motor,mongodb/motor,motor,,,db-clients,,https://github.com/mongodb/motor,https://github.com/mongodb/motor,Apache-2.0,2013-01-11 21:34:44+00:00,2020-12-08 14:16:53+00:00,2020-09-24 23:47:34+00:00,140.0,1.0,,1595.0,1609.0,2020-09-24 23:26:10+00:00,2.3.0,34.0,Motor - the async Python driver for MongoDB and Tornado or asyncio.,5096.0,3306.0,28.0,30,https://pypi.org/project/motor,2020-09-24 23:19:56+00:00,1790.0,135012.0,135012.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n110,numexpr,pydata/numexpr,numexpr,,,data-containers,,https://github.com/pydata/numexpr,https://github.com/pydata/numexpr,MIT,2013-11-30 22:33:48+00:00,2020-12-06 01:59:55+00:00,2020-09-24 01:49:10+00:00,161.0,53.0,242.0,1486.0,651.0,2020-01-05 17:55:57+00:00,2.7.1,38.0,\"Fast numerical array expression evaluator for Python, NumPy, PyTables, pandas, bcolz and more.\",5482.0,,51.0,30,https://pypi.org/project/numexpr,2020-01-05 17:55:57+00:00,5482.0,930467.0,930467.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n111,Rasterio,mapbox/rasterio,rasterio,,,geospatial-data,,https://github.com/mapbox/rasterio,https://github.com/mapbox/rasterio,BSD-3-Clause,2013-11-04 16:36:27+00:00,2020-12-15 00:21:47+00:00,2020-12-15 00:21:46+00:00,387.0,135.0,1183.0,1380.0,3239.0,2020-10-21 01:56:29+00:00,1.1.8,117.0,Rasterio reads and writes geospatial raster datasets.,3337.0,2487.0,109.0,30,https://pypi.org/project/rasterio,2020-12-13 18:35:39+00:00,850.0,176579.0,176589.0,,,,True,2,701.0,,,,,,,,,,,,,,,,,,,,,,\n112,SageMaker SDK,aws/sagemaker-python-sdk,sagemaker,,,ml-experiments,\"['mxnet', 'tensorflow']\",https://github.com/aws/sagemaker-python-sdk,https://github.com/aws/sagemaker-python-sdk,Apache-2.0,2017-11-14 01:03:33+00:00,2020-12-15 17:57:40+00:00,2020-12-14 20:19:24+00:00,541.0,190.0,511.0,1276.0,1755.0,2020-12-08 23:27:29+00:00,2.19.0,292.0,A library for training and deploying machine learning models on Amazon SageMaker.,555.0,527.0,156.0,30,https://pypi.org/project/sagemaker,2020-12-08 23:27:29+00:00,28.0,354136.0,354136.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n113,Fiona,Toblerity/Fiona,fiona,,,geospatial-data,,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00+00:00,2020-12-02 19:46:20+00:00,2020-11-30 07:11:40+00:00,165.0,69.0,546.0,761.0,1093.0,2020-11-17 18:32:17+00:00,1.8.18,96.0,Fiona reads and writes geographic data files.,5788.0,4600.0,65.0,30,https://pypi.org/project/fiona,2020-11-17 18:32:17+00:00,1188.0,540664.0,540664.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n114,Nilearn,nilearn/nilearn,nilearn,,,medical-data,['sklearn'],https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23+00:00,2020-12-15 17:26:10+00:00,2020-12-15 09:02:38+00:00,372.0,378.0,1037.0,687.0,9270.0,2020-11-12 11:44:49+00:00,0.7.0,35.0,Machine learning for NeuroImaging in Python.,1119.0,817.0,158.0,30,https://pypi.org/project/nilearn,2020-11-12 11:44:49+00:00,302.0,13681.0,13681.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n115,You-Get,soimort/you-get,you-get,,,web-scraping,,https://github.com/soimort/you-get,https://github.com/soimort/you-get,MIT,2012-08-20 15:53:36+00:00,2020-12-15 13:42:56+00:00,2020-12-11 01:02:44+00:00,7859.0,348.0,,38056.0,2340.0,2020-11-18 15:43:18+00:00,0.4.1488,158.0,Dumb downloader that scrapes the web.,18.0,,221.0,29,https://pypi.org/project/you-get,2020-10-27 17:19:58+00:00,18.0,23705.0,27516.0,,,,True,1,327758.0,,you-get,,,,,,,,,,,,,,,,,,,,\n116,Face Recognition,ageitgey/face_recognition,face_recognition,,,image,['pytorch'],https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39+00:00,2020-12-15 17:34:41+00:00,2020-09-26 15:32:59+00:00,10414.0,548.0,525.0,37679.0,211.0,2018-08-21 18:34:21+00:00,1.2.3,21.0,The world's simplest facial recognition api for Python and the command line.,406.0,,45.0,29,https://pypi.org/project/face_recognition,2018-08-21 18:34:21+00:00,406.0,32792.0,32801.0,,,,True,2,433.0,,,,,,,,,,,,,,,,,,,,,,\n117,Glances,nicolargo/glances,glances,,,system-monitoring,,https://github.com/nicolargo/glances,https://github.com/nicolargo/glances,LGPL-3.0,2011-12-04 08:49:15+00:00,2020-12-13 21:21:03+00:00,2020-12-13 21:20:53+00:00,1117.0,187.0,1103.0,17301.0,3733.0,2020-08-20 08:36:13+00:00,3.1.5,50.0,\"Glances an Eye on your system. A top/htop alternative for GNU/Linux, BSD, Mac OS and Windows operating systems.\",301.0,251.0,133.0,29,https://pypi.org/project/glances,2020-08-19 08:51:13+00:00,50.0,37646.0,37652.0,,,,False,1,402.0,,,,,,,,,,,,,,,,,,,,,,\n118,Magenta,magenta/magenta,magenta,,,audio,['tensorflow'],https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40+00:00,2020-12-03 14:10:02+00:00,2020-12-01 17:12:29+00:00,3222.0,281.0,531.0,16069.0,1370.0,2020-11-12 19:17:18+00:00,2.1.3,66.0,Magenta: Music and Art Generation with Machine Intelligence.,285.0,250.0,142.0,29,https://pypi.org/project/magenta,2020-11-12 19:17:18+00:00,35.0,4369.0,4369.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n119,PaddlePaddle,PaddlePaddle/Paddle,paddlepaddle,,,ml-frameworks,['paddle'],https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08+00:00,2020-12-15 17:39:30+00:00,2020-12-15 14:04:07+00:00,3354.0,2271.0,10148.0,13552.0,15069.0,2020-10-30 03:37:50+00:00,2.0.0-rc0,41.0,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,37.0,21.0,482.0,29,https://pypi.org/project/paddlepaddle,2020-12-14 08:03:41+00:00,16.0,7251.0,7544.0,,,,True,3,15244.0,,,,,,,,,,,,,,,,,,,,,,\n120,Faiss,facebookresearch/faiss,faiss,,,nn-search,,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05+00:00,2020-12-15 17:18:58+00:00,2020-12-03 18:06:38+00:00,2052.0,98.0,1207.0,11838.0,408.0,2020-10-22 13:28:27+00:00,1.6.4,9.0,A library for efficient similarity search and clustering of dense vectors.,303.0,288.0,70.0,29,https://pypi.org/project/faiss,2019-04-16 14:14:20+00:00,15.0,8901.0,8901.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n121,Requests-HTML,psf/requests-html,requests-html,,,web-scraping,,https://github.com/psf/requests-html,https://github.com/psf/requests-html,MIT,2018-02-24 20:11:02+00:00,2020-12-05 04:48:45+00:00,2020-05-10 19:40:04+00:00,766.0,131.0,188.0,11333.0,449.0,2019-02-18 21:38:41+00:00,0.10.0,36.0,Pythonic HTML Parsing for Humans.,3747.0,3383.0,62.0,29,https://pypi.org/project/requests-html,2019-02-17 20:14:17+00:00,364.0,279011.0,279011.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n122,newspaper3k,codelucas/newspaper,newspaper3k,,,web-scraping,,https://github.com/codelucas/newspaper,https://github.com/codelucas/newspaper,MIT,2013-11-25 09:50:50+00:00,2020-12-13 05:26:18+00:00,2020-09-02 06:54:25+00:00,1681.0,413.0,242.0,10487.0,651.0,2018-09-28 04:58:18+00:00,0.2.8,18.0,\"News, full-text, and article metadata extraction in Python 3. Advanced docs:.\",2551.0,2107.0,103.0,29,https://pypi.org/project/newspaper3k,2018-09-28 04:58:18+00:00,444.0,29469.0,29469.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n123,Turi Create,apple/turicreate,turicreate,,,ml-frameworks,,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04+00:00,2020-11-18 17:14:31+00:00,2020-10-13 23:52:18+00:00,1057.0,465.0,1238.0,10039.0,1565.0,2020-09-30 22:51:40+00:00,6.4.1,31.0,Turi Create simplifies the development of custom machine learning models.,250.0,216.0,81.0,29,https://pypi.org/project/turicreate,2020-09-30 22:51:40+00:00,34.0,11866.0,11960.0,,,,True,3,3393.0,,,,,,,,,,,,,,,,,,,,,,\n124,Lime,marcotcr/lime,lime,,,interpretability,,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10+00:00,2020-11-22 17:52:07+00:00,2020-09-10 23:09:42+00:00,1338.0,46.0,421.0,8226.0,501.0,2020-04-03 22:05:03+00:00,0.2.0.0,37.0,Lime: Explaining the predictions of any machine learning classifier.,1063.0,935.0,55.0,29,https://pypi.org/project/lime,2020-04-03 22:04:32+00:00,128.0,172447.0,172447.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n125,Annoy,spotify/annoy,annoy,,,nn-search,,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40+00:00,2020-12-03 18:21:19+00:00,2020-12-03 18:21:18+00:00,848.0,25.0,263.0,7914.0,785.0,2020-09-18 16:07:59+00:00,1.17.0,43.0,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,1722.0,1362.0,68.0,29,https://pypi.org/project/annoy,2020-09-18 16:07:59+00:00,360.0,218504.0,218504.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n126,Pattern,clips/pattern,pattern,,,web-scraping,,https://github.com/clips/pattern,https://github.com/clips/pattern,BSD-3-Clause,2011-05-03 15:29:01+00:00,2020-12-03 13:45:30+00:00,2020-04-25 12:40:40+00:00,1499.0,159.0,75.0,7711.0,1434.0,,,2.0,\"Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis..\",1277.0,1011.0,30.0,29,https://pypi.org/project/pattern,2018-08-18 15:11:17+00:00,266.0,68966.0,68966.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n127,fuzzywuzzy,seatgeek/fuzzywuzzy,fuzzywuzzy,,,nlp,,https://github.com/seatgeek/fuzzywuzzy,https://github.com/seatgeek/fuzzywuzzy,GPL-2.0,2011-07-08 19:32:34+00:00,2020-12-06 07:48:14+00:00,2020-02-13 22:13:43+00:00,792.0,84.0,94.0,7678.0,379.0,2020-02-13 22:14:12+00:00,0.18.0,27.0,Fuzzy String Matching in Python.,10541.0,7335.0,67.0,29,https://pypi.org/project/fuzzywuzzy,2020-02-13 21:06:25+00:00,3206.0,2287648.0,2287648.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,\n128,TextBlob,sloria/TextBlob,textblob,,,nlp,,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18+00:00,2020-12-11 07:48:43+00:00,2020-11-13 14:19:03+00:00,946.0,69.0,150.0,7442.0,535.0,2019-02-24 23:03:17+00:00,0.15.3,55.0,\"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..\",11791.0,9299.0,33.0,29,https://pypi.org/project/textblob,2019-02-24 23:03:17+00:00,2492.0,295876.0,295877.0,,,,True,2,88.0,,,,,,,,,,,,,,,,,,,,,,\n129,MoviePy,Zulko/moviepy,moviepy,,,image,,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28+00:00,2020-11-25 17:36:43+00:00,2020-11-25 17:36:42+00:00,1021.0,337.0,629.0,7133.0,938.0,2020-05-07 16:29:35+00:00,1.0.3,84.0,Video editing with Python.,6461.0,5331.0,132.0,29,https://pypi.org/project/moviepy,2020-10-05 00:26:29+00:00,1130.0,138978.0,138978.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n130,Albumentations,albumentations-team/albumentations,albumentations,,,image,['pytorch'],https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50+00:00,2020-12-15 18:26:27+00:00,2020-12-14 18:13:10+00:00,866.0,148.0,224.0,6800.0,609.0,2020-11-29 14:30:07+00:00,0.5.2,44.0,Fast image augmentation library and easy to use wrapper around other libraries. Documentation:..,2328.0,2264.0,69.0,29,https://pypi.org/project/albumentations,2020-11-29 14:30:07+00:00,64.0,60810.0,60810.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n131,tensorboardX,lanpa/tensorboardX,tensorboardX,,,ml-experiments,,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19+00:00,2020-10-14 17:46:25+00:00,2020-07-05 17:29:00+00:00,769.0,72.0,341.0,6694.0,460.0,2020-07-05 17:54:10+00:00,2.0,12.0,\"tensorboard for pytorch (and chainer, mxnet, numpy, ...).\",10574.0,9240.0,64.0,29,https://pypi.org/project/tensorboardX,2019-12-31 14:04:21+00:00,1334.0,285945.0,285951.0,,,,True,2,285.0,,,,,,,,,,,,,,,,,,,,,,\n132,pandas-profiling,pandas-profiling/pandas-profiling,pandas-profiling,conda-forge/pandas-profiling,,data-viz,\"['jupyter', 'pandas']\",https://github.com/pandas-profiling/pandas-profiling,https://github.com/pandas-profiling/pandas-profiling,MIT,2016-01-09 23:47:55+00:00,2020-12-14 16:34:27+00:00,2020-11-30 21:55:53+00:00,966.0,48.0,351.0,6449.0,726.0,2020-09-03 10:11:24+00:00,2.9.0,24.0,Create HTML profiling reports from pandas DataFrame objects.,2804.0,2644.0,61.0,29,https://pypi.org/project/pandas-profiling,2020-09-03 10:11:24+00:00,160.0,244359.0,244359.0,https://anaconda.org/conda-forge/pandas-profiling,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n133,Pydub,jiaaro/pydub,pydub,,,audio,,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38+00:00,2020-12-14 17:09:25+00:00,2020-12-14 17:09:24+00:00,670.0,164.0,231.0,4968.0,722.0,2020-06-03 15:23:56+00:00,0.24.1,66.0,Manipulate audio with a simple and easy high level interface.,6636.0,5282.0,79.0,29,https://pypi.org/project/pydub,2020-06-03 15:23:56+00:00,1354.0,137840.0,137840.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n134,imbalanced-learn,scikit-learn-contrib/imbalanced-learn,imbalanced-learn,,,others,['sklearn'],https://github.com/scikit-learn-contrib/imbalanced-learn,https://github.com/scikit-learn-contrib/imbalanced-learn,MIT,2014-08-16 05:08:26+00:00,2020-11-24 15:00:35+00:00,2020-11-03 21:43:11+00:00,1024.0,47.0,400.0,4897.0,701.0,2020-06-09 10:45:32+00:00,0.7.0,26.0,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,3786.0,3506.0,51.0,29,https://pypi.org/project/imbalanced-learn,2020-06-09 10:39:03+00:00,280.0,730019.0,730019.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n135,UMAP,lmcinnes/umap,umap-learn,,,data-viz,,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17+00:00,2020-12-11 06:29:19+00:00,2020-11-26 19:30:32+00:00,459.0,196.0,207.0,4324.0,1269.0,2020-07-02 15:56:06+00:00,0.4.6,33.0,Uniform Manifold Approximation and Projection.,226.0,,67.0,29,https://pypi.org/project/umap-learn,2020-11-26 16:29:14+00:00,226.0,123387.0,123387.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n136,TinyDB,msiemens/tinydb,tinydb,,,data-containers,,https://github.com/msiemens/tinydb,https://github.com/msiemens/tinydb,MIT,2013-07-12 23:31:13+00:00,2020-12-05 15:21:25+00:00,2020-12-05 15:21:21+00:00,353.0,14.0,228.0,3882.0,593.0,2020-11-14 21:02:31+00:00,4.3.0,58.0,TinyDB is a lightweight document oriented database optimized for your happiness :).,1118.0,,61.0,29,https://pypi.org/project/tinydb,2020-11-14 21:02:29+00:00,1118.0,140637.0,140637.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n137,kaggle,Kaggle/kaggle-api,kaggle,,,ml-experiments,,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39+00:00,2020-12-03 05:16:08+00:00,2020-11-30 21:43:14+00:00,754.0,161.0,106.0,3707.0,137.0,2020-11-30 13:37:18+00:00,1.5.10,47.0,Official Kaggle API.,4589.0,4025.0,35.0,29,https://pypi.org/project/kaggle,2020-11-30 13:37:18+00:00,564.0,99936.0,99936.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n138,yfinance,ranaroussi/yfinance,yfinance,ranaroussi/yfinance,,financial-data,,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15+00:00,2020-12-10 01:54:27+00:00,2020-09-25 12:47:40+00:00,944.0,289.0,165.0,3634.0,243.0,2020-10-05 12:19:44+00:00,0.1.55,20.0,Yahoo! Finance market data downloader (+faster Pandas Datareader).,2283.0,2257.0,25.0,29,https://pypi.org/project/yfinance,2020-10-05 12:19:44+00:00,26.0,109392.0,109392.0,https://anaconda.org/ranaroussi/yfinance,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n139,sacred,IDSIA/sacred,sacred,,,ml-experiments,,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29+00:00,2020-12-15 10:47:56+00:00,2020-12-15 10:47:54+00:00,314.0,92.0,390.0,3225.0,1297.0,2020-12-14 15:21:05+00:00,0.8.2,27.0,\"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.\",896.0,742.0,90.0,29,https://pypi.org/project/sacred,2020-12-14 15:21:05+00:00,154.0,16595.0,16595.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n140,Koalas,databricks/koalas,koalas,conda-forge/koalas,,data-containers,\"['spark', 'pandas']\",https://github.com/databricks/koalas,https://github.com/databricks/koalas,Apache-2.0,2019-01-03 21:46:54+00:00,2020-12-15 08:55:12+00:00,2020-12-14 08:51:56+00:00,292.0,84.0,418.0,2532.0,1407.0,2020-12-11 21:10:40+00:00,1.5.0,42.0,Koalas: pandas API on Apache Spark.,67.0,66.0,47.0,29,https://pypi.org/project/koalas,2020-12-11 21:10:40+00:00,1.0,919753.0,919800.0,https://anaconda.org/conda-forge/koalas,,,True,2,996.0,,,,,,,,,,,,,,,,,,,,,,\n141,PyQtGraph,pyqtgraph/pyqtgraph,pyqtgraph,conda-forge/pyqtgraph,,data-viz,,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21+00:00,2020-12-15 08:45:11+00:00,2020-12-10 06:45:21+00:00,791.0,288.0,423.0,2237.0,2274.0,2020-06-08 23:50:26+00:00,0.11.0,11.0,Fast data visualization and GUI tools for scientific / engineering applications.,890.0,,176.0,29,https://pypi.org/project/pyqtgraph,2020-06-08 23:50:26+00:00,890.0,34804.0,34804.0,https://anaconda.org/conda-forge/pyqtgraph,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n142,Keras Tuner,keras-team/keras-tuner,keras-tuner,,,hyperopt,['keras'],https://github.com/keras-team/keras-tuner,https://github.com/keras-team/keras-tuner,Apache-2.0,2019-06-06 22:38:21+00:00,2020-12-11 22:39:03+00:00,2020-12-09 20:19:05+00:00,247.0,145.0,131.0,2178.0,787.0,2020-11-20 19:13:23+00:00,1.0.2,5.0,Hyperparameter tuning for humans.,318.0,316.0,28.0,29,https://pypi.org/project/keras-tuner,2020-11-20 19:00:59+00:00,2.0,1213757.0,1213757.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n143,HoloViews,holoviz/holoviews,holoviews,,,data-viz,['jupyter'],https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22+00:00,2020-12-15 17:21:26+00:00,2020-12-15 16:47:47+00:00,290.0,664.0,1809.0,1761.0,10102.0,2020-12-03 18:36:32+00:00,1.14.0,58.0,\"With Holoviews, your data visualizes itself.\",170.0,,99.0,29,https://pypi.org/project/holoviews,2020-12-03 14:22:27+00:00,170.0,112343.0,120215.0,,,,True,2,,,,,,,,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,2020-05-24 13:49:54.205000+00:00,,7872.0,,,,,,,,,,\n144,Lifelines,CamDavidsonPilon/lifelines,lifelines,,,medical-data,,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42+00:00,2020-12-11 17:32:01+00:00,2020-12-09 21:13:02+00:00,403.0,183.0,584.0,1508.0,2069.0,2020-12-09 21:14:01+00:00,0.25.7,152.0,Survival analysis in Python.,583.0,457.0,88.0,29,https://pypi.org/project/lifelines,2020-12-09 21:14:01+00:00,126.0,109543.0,109543.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n145,Geocoder,DenisCarriere/geocoder,geocoder,,,geospatial-data,,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21+00:00,2020-12-14 18:58:25+00:00,2018-10-12 15:53:05+00:00,249.0,64.0,215.0,1311.0,1251.0,2018-04-04 12:34:51+00:00,1.38.1,108.0,Python Geocoder.,3436.0,2860.0,74.0,29,https://pypi.org/project/geocoder,2018-04-04 12:34:51+00:00,576.0,233952.0,233952.0,,,,False,2,,,,,,,,,,,,,,geocoder,,,,,,,,,\n146,PyTables,PyTables/PyTables,tables,,,data-containers,,https://github.com/PyTables/PyTables,https://github.com/PyTables/PyTables,BSD-2-Clause,2011-06-03 19:44:46+00:00,2020-12-13 10:39:33+00:00,2020-12-13 10:38:41+00:00,180.0,151.0,437.0,987.0,3845.0,2019-10-30 19:33:37+00:00,3.6.1,25.0,A Python package to manage extremely large amounts of data.,3754.0,,95.0,29,https://pypi.org/project/tables,2019-10-30 19:33:37+00:00,3754.0,718304.0,718306.0,,,,True,2,125.0,,,,,,,,,,,,,,,,,,,,,,\n147,py2neo,technige/py2neo,py2neo,,,db-clients,,https://github.com/technige/py2neo,https://github.com/technige/py2neo,Apache-2.0,2011-07-03 10:01:07+00:00,2020-12-11 22:06:47+00:00,2020-12-11 22:06:25+00:00,196.0,25.0,689.0,952.0,2732.0,2020-11-21 09:50:58+00:00,2020.1.1,102.0,Py2neo is a comprehensive toolkit for working with Neo4j from within Python applications or from the command line.,1114.0,,31.0,29,https://pypi.org/project/py2neo,2020-11-21 09:51:22+00:00,1114.0,77094.0,77094.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n148,TensorFlow Transform,tensorflow/transform,tensorflow-transform,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53+00:00,2020-12-14 21:53:25+00:00,2020-12-14 21:53:20+00:00,161.0,32.0,113.0,840.0,555.0,2020-11-04 22:48:52+00:00,0.25.0,32.0,Input pipeline framework.,415.0,373.0,27.0,29,https://pypi.org/project/tensorflow-transform,2020-11-04 23:07:30+00:00,42.0,4587622.0,4587622.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n149,snakemake,snakemake/snakemake,snakemake,bioconda/snakemake,,ml-experiments,,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2019-10-04 14:58:11+00:00,2020-12-15 18:19:23+00:00,2020-12-15 16:23:37+00:00,174.0,302.0,197.0,773.0,3913.0,2020-11-23 11:00:07+00:00,5.30.1,154.0,\"This is the development home of the workflow management system Snakemake. For general information, see.\",989.0,701.0,191.0,29,https://pypi.org/project/snakemake,2020-11-23 09:10:47+00:00,288.0,10109.0,10109.0,https://anaconda.org/bioconda/snakemake,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n150,NIPYPE,nipy/nipype,nipype,,,medical-data,,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49+00:00,2020-12-08 17:16:42+00:00,2020-12-08 17:16:40+00:00,439.0,312.0,871.0,536.0,14049.0,2020-09-17 18:44:32+00:00,1.5.1,54.0,Workflows and interfaces for neuroimaging packages.,656.0,464.0,212.0,29,https://pypi.org/project/nipype,2020-08-16 18:30:16+00:00,192.0,13854.0,13854.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n151,NiBabel,nipy/nibabel,nibabel,,,medical-data,,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30+00:00,2020-12-06 21:57:42+00:00,2020-12-03 12:57:17+00:00,209.0,109.0,277.0,377.0,4928.0,2020-11-28 22:19:50+00:00,3.2.1,32.0,Python package to access a cacophony of neuro-imaging file formats.,4577.0,3313.0,89.0,29,https://pypi.org/project/nibabel,2020-11-28 22:18:23+00:00,1264.0,54801.0,54801.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n152,pandas-gbq,pydata/pandas-gbq,pandas-gbq,conda-forge/pandas-gbq,,db-clients,['pandas'],https://github.com/pydata/pandas-gbq,https://github.com/pydata/pandas-gbq,BSD-3-Clause,2017-02-08 13:07:19+00:00,2020-12-04 16:32:56+00:00,2020-12-04 16:32:54+00:00,83.0,33.0,153.0,229.0,216.0,2020-11-10 17:16:31+00:00,0.14.1,26.0,Pandas Google BigQuery.,2070.0,1638.0,29.0,29,https://pypi.org/project/pandas-gbq,2020-11-10 17:13:26+00:00,432.0,4728720.0,4728725.0,https://anaconda.org/conda-forge/pandas-gbq,,,True,3,185.0,,,,,,,,,,,,,,,,,,,,,,\n153,soupsieve,facelessuser/soupsieve,soupsieve,,,web-scraping,,https://github.com/facelessuser/soupsieve,https://github.com/facelessuser/soupsieve,MIT,2018-12-07 07:42:56+00:00,2020-12-14 18:10:01+00:00,2020-12-14 18:08:31+00:00,17.0,12.0,77.0,83.0,268.0,2020-12-10 23:42:29+00:00,2.1.0,36.0,A modern CSS selector implementation for BeautifulSoup.,92995.0,88751.0,8.0,29,https://pypi.org/project/soupsieve,2020-12-10 23:43:13+00:00,4244.0,7967780.0,7967780.0,,,,False,1,,,,,,,,,,,,,,,,,,,,,,,\n154,spleeter,deezer/spleeter,spleeter,,,audio,['tensorflow'],https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46+00:00,2020-12-11 12:05:57+00:00,2020-12-07 12:44:51+00:00,1509.0,85.0,390.0,15016.0,358.0,2020-10-23 12:15:02+00:00,2.0.1,26.0,Deezer source separation library including pretrained models.,117.0,117.0,17.0,28,https://pypi.org/project/spleeter,2020-10-23 12:15:02+00:00,,4973.0,66437.0,,,,True,2,860501.0,,,,,,,,,,,,,,,,,,,,,,\n155,pyspider,binux/pyspider,pyspider,,,web-scraping,,https://github.com/binux/pyspider,https://github.com/binux/pyspider,Apache-2.0,2014-02-21 19:18:47+00:00,2020-10-22 04:00:13+00:00,2020-08-02 17:34:20+00:00,3558.0,276.0,543.0,14767.0,1181.0,2018-04-18 04:25:22+00:00,0.3.10,17.0,A Powerful Spider(Web Crawler) System in Python.,313.0,283.0,62.0,28,https://pypi.org/project/pyspider,2018-04-18 04:17:18+00:00,30.0,1725.0,1725.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n156,PyTorch Geometric,rusty1s/pytorch_geometric,torch-geometric,,,graph,['pytorch'],https://github.com/rusty1s/pytorch_geometric,https://github.com/rusty1s/pytorch_geometric,MIT,2017-10-06 16:03:03+00:00,2020-12-14 13:55:48+00:00,2020-12-14 10:34:32+00:00,1645.0,631.0,1041.0,9682.0,4012.0,2020-12-02 14:57:09+00:00,1.6.3,25.0,Geometric Deep Learning Extension Library for PyTorch.,24.0,,135.0,28,https://pypi.org/project/torch-geometric,2020-11-27 07:18:41+00:00,24.0,11492.0,11492.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n157,Sonnet,deepmind/sonnet,dm-sonnet,,,ml-frameworks,['tensorflow'],https://github.com/deepmind/sonnet,https://github.com/deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35+00:00,2020-11-30 02:35:15+00:00,2020-10-08 10:01:11+00:00,1242.0,15.0,135.0,8655.0,545.0,2020-03-27 10:36:19+00:00,2.0.0,27.0,TensorFlow-based neural network library.,533.0,451.0,48.0,28,https://pypi.org/project/dm-sonnet,2020-03-27 10:36:10+00:00,82.0,21334.0,21334.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n158,peewee,coleifer/peewee,peewee,,,db-clients,,https://github.com/coleifer/peewee,https://github.com/coleifer/peewee,MIT,2010-10-11 20:14:11+00:00,2020-11-26 16:40:21+00:00,2020-11-26 16:31:52+00:00,1254.0,1.0,1906.0,7994.0,4280.0,2020-11-07 18:48:43+00:00,3.14.0,165.0,\"a small, expressive orm -- supports postgresql, mysql and sqlite.\",17998.0,11534.0,144.0,28,https://pypi.org/project/peewee,2020-11-07 18:47:45+00:00,6464.0,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n159,DVC,iterative/dvc,,conda-forge/dvc,,ml-experiments,,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33+00:00,2020-12-15 17:56:11+00:00,2020-12-15 17:54:04+00:00,649.0,486.0,2090.0,6880.0,6133.0,2020-12-15 17:56:11+00:00,1.11.7,100.0,Data Version Control | Git for Data & Models.,495.0,495.0,197.0,28,,,,,1522.0,https://anaconda.org/conda-forge/dvc,,,True,2,15220.0,,dvc,,,,,,,,,,,,dvc,dvc,,,,,,,\n160,Pyro,pyro-ppl/pyro,pyro-ppl,,,probabilistics,['pytorch'],https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47+00:00,2020-12-15 16:43:21+00:00,2020-12-15 16:43:16+00:00,777.0,130.0,677.0,6639.0,2138.0,2020-11-17 23:30:42+00:00,1.5.1,24.0,Deep universal probabilistic programming with Python and PyTorch.,379.0,343.0,102.0,28,https://pypi.org/project/pyro-ppl,2020-11-17 23:22:46+00:00,36.0,12163.0,12163.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n161,tensorpack,tensorpack/tensorpack,tensorpack,,,ml-frameworks,['tensorflow'],https://github.com/tensorpack/tensorpack,https://github.com/tensorpack/tensorpack,Apache-2.0,2015-12-25 23:08:44+00:00,2020-11-13 17:32:23+00:00,2020-11-01 03:52:10+00:00,1717.0,10.0,1293.0,5850.0,2921.0,2020-04-24 19:01:06+00:00,0.10.1,36.0,\"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.\",712.0,636.0,55.0,28,https://pypi.org/project/tensorpack,2020-04-24 19:01:06+00:00,76.0,8632.0,8634.0,,,,True,3,94.0,,,,,,,,,,,,,,,,,,,,,,\n162,Datasets,huggingface/datasets,datasets,,,web-scraping,,https://github.com/huggingface/datasets,https://github.com/huggingface/datasets,Apache-2.0,2020-03-26 09:23:22+00:00,2020-12-15 18:32:39+00:00,2020-12-15 18:32:37+00:00,594.0,273.0,274.0,5785.0,1057.0,2020-11-19 18:33:56+00:00,1.1.3,11.0,\"Fast, efficient, open-access datasets and evaluation metrics in PyTorch, TensorFlow, NumPy and Pandas.\",213.0,195.0,175.0,28,https://pypi.org/project/datasets,2020-11-19 18:07:51+00:00,18.0,24401.0,24401.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n163,Modin,modin-project/modin,modin,,,data-containers,['pandas'],https://github.com/modin-project/modin,https://github.com/modin-project/modin,Apache-2.0,2018-06-21 21:35:05+00:00,2020-12-15 18:06:53+00:00,2020-12-15 16:13:26+00:00,374.0,392.0,1027.0,5529.0,1200.0,2020-11-10 17:45:21+00:00,0.8.2,35.0,Modin: Speed up your Pandas workflows by changing a single line of code.,274.0,265.0,63.0,28,https://pypi.org/project/modin,2020-11-10 02:44:02+00:00,9.0,43000.0,49725.0,,,,True,2,195052.0,,,,,,,,,,,,,,,,,,,,,,\n164,featuretools,alteryx/featuretools,featuretools,conda-forge/featuretools,,hyperopt,,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17+00:00,2020-12-15 16:56:34+00:00,2020-12-15 16:56:29+00:00,680.0,106.0,381.0,5267.0,569.0,2020-11-30 20:45:21+00:00,0.22.0,61.0,An open source python library for automated feature engineering.,681.0,611.0,49.0,28,https://pypi.org/project/featuretools,2020-11-30 20:46:32+00:00,70.0,67339.0,67339.0,https://anaconda.org/conda-forge/featuretools,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n165,faust,robinhood/faust,faust,,,data-pipelines,,https://github.com/robinhood/faust,https://github.com/robinhood/faust,BSD-3-Clause,2017-03-08 18:36:11+00:00,2020-11-17 10:35:41+00:00,2020-10-09 12:59:42+00:00,424.0,225.0,218.0,5117.0,4137.0,2020-02-25 22:57:18+00:00,1.10.4,46.0,Python Stream Processing.,573.0,545.0,90.0,28,https://pypi.org/project/faust,2020-02-25 22:57:18+00:00,28.0,83977.0,83977.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n166,Autograd,HIPS/autograd,autograd,,,others,,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23+00:00,2020-04-23 16:45:00+00:00,2019-11-18 14:32:40+00:00,712.0,161.0,216.0,5044.0,1375.0,2017-08-24 17:00:41+00:00,1.1.13,24.0,Efficiently computes derivatives of numpy code.,1647.0,1303.0,51.0,28,https://pypi.org/project/autograd,2019-07-25 16:21:07+00:00,344.0,360103.0,360103.0,,,,False,1,,,,,,,,,,,,,,,,,,,,,,,\n167,csvkit,wireservice/csvkit,csvkit,,,data-loading,,https://github.com/wireservice/csvkit,https://github.com/wireservice/csvkit,MIT,2011-04-01 03:00:30+00:00,2020-10-30 01:59:33+00:00,2020-10-30 01:59:29+00:00,535.0,56.0,743.0,4427.0,1693.0,2020-03-03 03:00:28+00:00,1.0.5,33.0,\"A suite of utilities for converting to and working with CSV, the king of tabular file formats.\",1486.0,784.0,91.0,28,https://pypi.org/project/csvkit,2020-03-03 03:00:28+00:00,702.0,28496.0,28496.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n168,GluonCV,dmlc/gluon-cv,gluoncv,,,image,['mxnet'],https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21+00:00,2020-12-15 16:50:24+00:00,2020-12-15 04:45:36+00:00,1014.0,367.0,371.0,4390.0,817.0,2020-12-02 23:04:17+00:00,0.9.0,932.0,Gluon CV Toolkit.,399.0,369.0,106.0,28,https://pypi.org/project/gluoncv,2020-12-13 09:01:39+00:00,30.0,103728.0,103728.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n169,snorkel,snorkel-team/snorkel,snorkel,,,data-loading,,https://github.com/snorkel-team/snorkel,https://github.com/snorkel-team/snorkel,Apache-2.0,2016-02-26 05:52:45+00:00,2020-10-02 14:30:46+00:00,2020-09-05 21:24:32+00:00,703.0,29.0,909.0,4341.0,2646.0,2020-08-09 03:07:36+00:00,0.9.6,17.0,A system for quickly generating training data with weak supervision.,65.0,61.0,62.0,28,https://pypi.org/project/snorkel,2020-04-07 01:35:21+00:00,4.0,72566.0,72576.0,,,,True,3,475.0,,,,,,,,,,,,,,,,,,,,,,\n170,librosa,librosa/librosa,librosa,,,audio,,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01+00:00,2020-10-19 21:24:48+00:00,2020-09-11 13:58:44+00:00,662.0,53.0,777.0,4122.0,,2020-07-22 01:34:55+00:00,0.8.0,28.0,Python library for audio and music analysis.,10145.0,8395.0,80.0,28,https://pypi.org/project/librosa,2020-07-22 01:34:55+00:00,1750.0,271408.0,271408.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n171,Tokenizers,huggingface/tokenizers,tokenizers,,,nlp,,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20+00:00,2020-12-15 16:50:46+00:00,2020-12-15 16:50:40+00:00,293.0,80.0,256.0,4077.0,1414.0,2020-11-10 04:37:50+00:00,0.9.4,57.0,Fast State-of-the-Art Tokenizers optimized for Research and Production.,20.0,20.0,39.0,28,https://pypi.org/project/tokenizers,2020-12-08 18:59:15+00:00,0.0,1088732.0,1088732.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n172,DEAP,deap/deap,deap,,,distributed-ml,,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39+00:00,2020-12-13 12:08:59+00:00,2020-12-13 12:08:59+00:00,823.0,166.0,218.0,3994.0,2145.0,2020-01-21 01:18:06+00:00,1.3.1,16.0,Distributed Evolutionary Algorithms in Python.,1950.0,1468.0,66.0,28,https://pypi.org/project/deap,2020-01-21 01:18:06+00:00,482.0,79861.0,79861.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,\n173,dataset,pudo/dataset,dataset,,,db-clients,,https://github.com/pudo/dataset,https://github.com/pudo/dataset,MIT,2013-04-01 14:57:55+00:00,2020-11-14 22:04:37+00:00,2020-11-14 22:02:17+00:00,256.0,11.0,231.0,3945.0,655.0,2020-11-14 22:04:37+00:00,1.4.1,46.0,\"Easy-to-use data handling for SQL data stores with support for implicit table creation, bulk loading, and transactions.\",2738.0,1710.0,71.0,28,https://pypi.org/project/dataset,2020-11-14 22:04:37+00:00,1028.0,49178.0,49178.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n174,Kornia,kornia/kornia,kornia,,,image,['pytorch'],https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37+00:00,2020-12-14 21:51:54+00:00,2020-12-14 21:51:53+00:00,345.0,103.0,230.0,3412.0,1461.0,2020-10-20 19:31:49+00:00,0.4.1,12.0,Open Source Differentiable Computer Vision Library for PyTorch.,207.0,207.0,77.0,28,https://pypi.org/project/kornia,2020-10-20 19:31:49+00:00,0.0,18425.0,18425.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n175,Kedro,quantumblacklabs/kedro,kedro,,,data-pipelines,,https://github.com/quantumblacklabs/kedro,https://github.com/quantumblacklabs/kedro,Apache-2.0,2019-04-18 10:29:56+00:00,2020-12-15 11:35:28+00:00,2020-12-14 15:14:11+00:00,375.0,71.0,326.0,3222.0,855.0,2020-10-23 10:48:09+00:00,0.16.6,23.0,\"A Python library that helps you create reproducible, maintainable and modular data science code.\",347.0,331.0,85.0,28,https://pypi.org/project/kedro,2020-10-23 10:48:09+00:00,16.0,74716.0,74716.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n176,dyNET,clab/dynet,dyNET,,,ml-frameworks,,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21+00:00,2020-10-22 07:16:17+00:00,2020-10-22 07:16:12+00:00,692.0,255.0,657.0,3153.0,3260.0,2020-10-21 14:31:01+00:00,2.1.2,24.0,DyNet: The Dynamic Neural Network Toolkit.,201.0,163.0,155.0,28,https://pypi.org/project/dyNET,2020-10-21 14:31:01+00:00,38.0,6487.0,6508.0,,,,True,3,1086.0,,,,,,,,,,,,,,,,,,,,,,\n177,Blaze,blaze/blaze,blaze,,,data-containers,,https://github.com/blaze/blaze,https://github.com/blaze/blaze,BSD-3-Clause,2012-10-26 14:25:22+00:00,2020-02-01 19:33:09+00:00,2019-08-15 21:14:59+00:00,373.0,262.0,500.0,2913.0,7496.0,2016-07-19 20:40:03+00:00,0.11.0,14.0,NumPy and Pandas interface to Big Data.,7800.0,7312.0,64.0,28,https://pypi.org/project/blaze,2016-05-06 21:19:21+00:00,488.0,10657.0,10657.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,\n178,Dedupe,dedupeio/dedupe,dedupe,,,nlp,,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36+00:00,2020-11-09 02:38:14+00:00,2020-11-09 02:38:13+00:00,402.0,49.0,568.0,2836.0,2792.0,2020-09-02 00:17:19+00:00,2.0.6,157.0,\"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.\",247.0,169.0,55.0,28,https://pypi.org/project/dedupe,2020-09-06 01:50:45+00:00,78.0,49494.0,49494.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n179,PyCaret,pycaret/pycaret,pycaret,,,ml-experiments,,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48+00:00,2020-12-14 11:25:03+00:00,2020-12-14 11:24:41+00:00,552.0,132.0,505.0,2660.0,1510.0,2020-11-26 01:45:00+00:00,2.2.2,67.0,\"An open-source, low-code machine learning library in Python.\",503.0,503.0,38.0,28,https://pypi.org/project/pycaret,2020-11-26 01:45:00+00:00,,25948.0,26015.0,,,,True,2,335.0,,,,,,,,,,,,,,,,,,,,,,\n180,phonenumbers,daviddrysdale/python-phonenumbers,phonenumbers,,,nlp,,https://github.com/daviddrysdale/python-phonenumbers,https://github.com/daviddrysdale/python-phonenumbers,Apache-2.0,2011-04-21 03:06:38+00:00,2020-12-04 08:41:00+00:00,2020-12-03 18:10:13+00:00,323.0,3.0,108.0,2590.0,,2020-11-13 18:46:12+00:00,8.12.14,165.0,Python port of Google's libphonenumber.,2280.0,,22.0,28,https://pypi.org/project/phonenumbers,2020-12-04 08:41:00+00:00,2280.0,841337.0,841337.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n181,VisPy,vispy/vispy,vispy,,,data-viz,['jupyter'],https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22+00:00,2020-12-04 15:15:35+00:00,2020-11-28 02:03:40+00:00,535.0,354.0,777.0,2525.0,6394.0,2020-12-14 15:55:00+00:00,0.6.6,16.0,High-performance interactive 2D/3D data visualization library.,552.0,430.0,144.0,28,https://pypi.org/project/vispy,2020-11-28 02:55:50+00:00,122.0,15034.0,15094.0,,,,True,2,,,,,,,,,vispy,https://www.npmjs.com/package/vispy,2020-03-15 14:39:41.516000+00:00,,60.0,,,,,,,,,,\n182,datashader,holoviz/datashader,datashader,conda-forge/datashader,,data-viz,,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20+00:00,2020-12-14 16:28:09+00:00,2020-12-11 22:01:59+00:00,306.0,144.0,314.0,2373.0,1268.0,2020-08-16 19:52:29+00:00,0.11.1,22.0,Quickly and accurately render even the largest data.,603.0,533.0,43.0,28,https://pypi.org/project/datashader,2020-12-04 13:28:34+00:00,70.0,17104.0,17104.0,https://anaconda.org/conda-forge/datashader,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n183,Catalyst,catalyst-team/catalyst,catalyst,,,ml-experiments,['pytorch'],https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13+00:00,2020-12-15 18:27:06+00:00,2020-12-14 18:29:35+00:00,260.0,28.0,252.0,2322.0,1461.0,2020-09-25 18:48:00+00:00,20.9.1,83.0,Accelerated deep learning R&D.,266.0,247.0,79.0,28,https://pypi.org/project/catalyst,2020-10-14 06:33:14+00:00,19.0,9137.0,9137.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n184,sklearn-pandas,scikit-learn-contrib/sklearn-pandas,sklearn-pandas,,,data-containers,\"['sklearn', 'pandas']\",https://github.com/scikit-learn-contrib/sklearn-pandas,https://github.com/scikit-learn-contrib/sklearn-pandas,Zlib,2013-04-22 22:55:20+00:00,2020-12-03 06:11:35+00:00,2020-12-03 06:11:34+00:00,377.0,40.0,114.0,2280.0,267.0,2020-10-01 20:56:27+00:00,2.0.3,24.0,Pandas integration with sklearn.,1748.0,1526.0,35.0,28,https://pypi.org/project/sklearn-pandas,2020-11-07 02:30:27+00:00,222.0,113892.0,113892.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,\n185,dbt,fishtown-analytics/dbt,dbt,,,data-pipelines,,https://github.com/fishtown-analytics/dbt,https://github.com/fishtown-analytics/dbt,Apache-2.0,2016-03-10 02:38:00+00:00,2020-12-15 17:43:50+00:00,2020-12-15 17:42:22+00:00,457.0,254.0,1397.0,2253.0,2481.0,2020-10-13 21:51:53+00:00,0.18.1,139.0,dbt (data build tool) enables data analysts and engineers to transform their data using the same practices that..,157.0,148.0,126.0,28,https://pypi.org/project/dbt,2020-10-21 00:46:58+00:00,9.0,86239.0,86239.0,,,,True,2,,,dbt,,,,,,,,,,,,,,,,,,,,\n186,eli5,TeamHG-Memex/eli5,eli5,,,interpretability,,https://github.com/TeamHG-Memex/eli5,https://github.com/TeamHG-Memex/eli5,MIT,2016-09-15 01:04:57+00:00,2020-12-09 18:22:22+00:00,2020-01-22 07:39:36+00:00,282.0,125.0,108.0,2224.0,1198.0,2019-08-29 06:19:32+00:00,0.10.1,27.0,A library for debugging/inspecting machine learning classifiers and explaining their predictions.,892.0,796.0,14.0,28,https://pypi.org/project/eli5,2019-08-29 06:19:32+00:00,96.0,247219.0,247219.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n187,implicit,benfred/implicit,implicit,,,recommender-systems,,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23+00:00,2020-11-15 19:47:27+00:00,2020-11-15 19:47:23+00:00,452.0,74.0,255.0,2185.0,300.0,2020-09-15 22:01:38+00:00,0.4.4,34.0,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,347.0,325.0,28.0,28,https://pypi.org/project/implicit,2020-09-15 22:01:38+00:00,22.0,103482.0,103482.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n188,AzureML SDK,Azure/MachineLearningNotebooks,azureml-sdk,,,ml-experiments,,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14+00:00,2020-12-12 00:49:34+00:00,2020-12-12 00:49:33+00:00,1464.0,49.0,837.0,2015.0,1081.0,2020-12-07 18:38:50+00:00,1.19.0,65.0,Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft.,60.0,,52.0,28,https://pypi.org/project/azureml-sdk,2020-12-07 18:38:50+00:00,60.0,303895.0,303909.0,,,,True,2,372.0,,,,,,,,,,,,,,,,,,,,,,\n189,ImageHash,JohannesBuchner/imagehash,ImageHash,,,image,,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48+00:00,2020-11-27 16:31:23+00:00,2020-11-27 16:31:13+00:00,238.0,17.0,69.0,1766.0,182.0,2020-11-19 14:54:24+00:00,4.2.0,17.0,A Python Perceptual Image Hashing Module.,2252.0,1720.0,17.0,28,https://pypi.org/project/ImageHash,2020-11-19 14:54:24+00:00,532.0,391050.0,391050.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n190,libcloud,apache/libcloud,apache-libcloud,,,db-clients,,https://github.com/apache/libcloud,https://github.com/apache/libcloud,Apache-2.0,2009-12-11 09:00:14+00:00,2020-12-14 19:02:53+00:00,2020-12-14 19:02:41+00:00,880.0,30.0,63.0,1723.0,,2020-09-20 13:03:47+00:00,3.2.0,61.0,Apache Libcloud is a Python library which hides differences between different cloud provider APIs and allows you to..,3095.0,1553.0,418.0,28,https://pypi.org/project/apache-libcloud,2020-09-20 13:03:47+00:00,1542.0,61329.0,61329.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n191,pyLDAvis,bmabey/pyLDAvis,pyldavis,,,interpretability,['jupyter'],https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03+00:00,2020-12-03 09:31:49+00:00,2020-12-02 18:10:12+00:00,287.0,91.0,55.0,1366.0,218.0,2018-06-05 18:55:56+00:00,2.1.2,17.0,Python library for interactive topic model visualization. Port of the R LDAvis package.,1672.0,1573.0,31.0,28,https://pypi.org/project/pyldavis,2018-06-05 18:55:56+00:00,99.0,72775.0,72775.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n192,torchaudio,pytorch/audio,torchaudio,,,audio,['pytorch'],https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05+00:00,2020-12-15 18:34:15+00:00,2020-12-15 16:49:57+00:00,258.0,152.0,216.0,1160.0,612.0,2020-12-10 17:02:20+00:00,0.7.2,11.0,\"Data manipulation and transformation for audio signal processing, powered by PyTorch.\",871.0,862.0,82.0,28,https://pypi.org/project/torchaudio,2020-10-27 16:14:57+00:00,9.0,57212.0,57212.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n193,Bottleneck,pydata/bottleneck,Bottleneck,,,data-containers,,https://github.com/pydata/bottleneck,https://github.com/pydata/bottleneck,BSD-2-Clause,2010-11-27 23:21:22+00:00,2020-11-25 00:09:27+00:00,2020-11-25 00:09:25+00:00,60.0,22.0,177.0,563.0,1226.0,2020-02-21 06:22:16+00:00,1.3.2,21.0,Fast NumPy array functions written in C.,20165.0,17273.0,20.0,28,https://pypi.org/project/Bottleneck,2020-02-21 06:22:16+00:00,2892.0,202705.0,202705.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n194,pyproj,pyproj4/pyproj,pyproj,,,geospatial-data,,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25+00:00,2020-12-10 18:05:45+00:00,2020-12-10 18:04:07+00:00,144.0,6.0,370.0,552.0,1092.0,2020-11-05 13:39:29+00:00,3.0.0.post1,34.0,Python interface to PROJ (cartographic projections and coordinate transformations library).,10267.0,7805.0,39.0,28,https://pypi.org/project/pyproj,2020-11-05 14:28:45+00:00,2462.0,1268984.0,1268984.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n195,inflect,jaraco/inflect,inflect,,,nlp,,https://github.com/jaraco/inflect,https://github.com/jaraco/inflect,MIT,2010-06-20 13:43:13+00:00,2020-12-08 10:56:54+00:00,2020-11-15 19:27:28+00:00,57.0,13.0,58.0,459.0,590.0,2020-11-15 17:41:03+00:00,5.0.2,30.0,\"Correctly generate plurals, ordinals, indefinite articles; convert numbers to words.\",1388.0,,25.0,28,https://pypi.org/project/inflect,2020-11-15 17:40:58+00:00,1388.0,1027929.0,1027929.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n196,minio,minio/minio-py,minio,,,db-clients,,https://github.com/minio/minio-py,https://github.com/minio/minio-py,Apache-2.0,2015-06-17 03:51:15+00:00,2020-12-10 17:13:57+00:00,2020-12-10 17:13:56+00:00,169.0,9.0,363.0,380.0,1005.0,2020-12-08 20:45:54+00:00,7.0.0,84.0,MinIO Client SDK for Python.,1500.0,1156.0,88.0,28,https://pypi.org/project/minio,2020-12-08 20:28:35+00:00,344.0,182602.0,182602.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n197,Cython BLIS,explosion/cython-blis,blis,conda-forge/cython-blis,,others,,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16+00:00,2020-12-07 08:56:44+00:00,2020-12-07 07:21:11+00:00,22.0,6.0,15.0,156.0,524.0,2020-12-07 08:56:44+00:00,0.7.4,35.0,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,7620.0,7230.0,9.0,28,https://pypi.org/project/blis,2020-12-07 08:56:44+00:00,390.0,931517.0,931517.0,https://anaconda.org/conda-forge/cython-blis,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n198,CNTK,microsoft/CNTK,cntk,,,ml-frameworks,,https://github.com/microsoft/CNTK,https://github.com/microsoft/CNTK,MIT,2015-11-26 09:52:06+00:00,2020-12-09 22:21:57+00:00,2020-03-31 15:55:14+00:00,4421.0,805.0,2513.0,16934.0,16116.0,2019-04-26 14:13:32+00:00,2.7,32.0,\"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.\",17.0,,265.0,27,https://pypi.org/project/cntk,2020-12-09 22:21:57+00:00,17.0,1756.0,1986.0,,,,True,3,13577.0,,,,,,,,,,,,,,,,,,,,,,\n199,InsightFace,deepinsight/insightface,insightface,,,image,['mxnet'],https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,MIT,2017-09-01 00:36:51+00:00,2020-12-15 07:08:01+00:00,2020-12-08 12:54:34+00:00,2835.0,684.0,636.0,8214.0,1454.0,2019-09-07 13:47:11+00:00,0.1.5,6.0,Face Analysis Project on MXNet.,45.0,44.0,14.0,27,https://pypi.org/project/insightface,2019-09-07 13:47:11+00:00,1.0,17052.0,17052.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n200,TPOT,EpistasisLab/tpot,tpot,,,hyperopt,['sklearn'],https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40+00:00,2020-12-15 16:57:34+00:00,2020-12-14 15:04:13+00:00,1347.0,185.0,572.0,7691.0,2341.0,2020-12-14 15:07:26+00:00,0.11.6.post3,59.0,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,817.0,737.0,107.0,27,https://pypi.org/project/tpot,2020-12-14 15:07:56+00:00,80.0,30620.0,30620.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,\n201,AutoKeras,keras-team/autokeras,autokeras,,,hyperopt,['keras'],https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20+00:00,2020-12-11 07:59:45+00:00,2020-12-11 07:59:44+00:00,1241.0,59.0,645.0,7647.0,1228.0,2020-11-30 02:43:50+00:00,1.0.12,46.0,AutoML library for deep learning.,145.0,138.0,125.0,27,https://pypi.org/project/autokeras,2020-11-30 02:43:50+00:00,7.0,5599.0,5599.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n202,Google Images Download,hardikvasa/google-images-download,google_images_download,,,web-scraping,,https://github.com/hardikvasa/google-images-download,https://github.com/hardikvasa/google-images-download,MIT,2015-03-28 16:50:28+00:00,2020-12-06 13:01:13+00:00,2019-05-21 18:24:10+00:00,1699.0,103.0,158.0,7298.0,156.0,2019-05-14 00:35:40+00:00,2.7.1,39.0,Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!.,214.0,,38.0,27,https://pypi.org/project/google_images_download,2019-05-14 00:35:40+00:00,214.0,21435.0,21435.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n203,Records,kennethreitz-archive/records,records,conda-forge/records,,db-clients,,https://github.com/kennethreitz42/records,https://github.com/kennethreitz42/records,ISC,2014-12-24 15:20:23+00:00,2020-08-12 05:05:50+00:00,2019-08-20 04:06:01+00:00,531.0,40.0,81.0,6449.0,324.0,2019-02-21 13:34:41+00:00,0.5.3,10.0,SQL for Humans.,1000.0,700.0,37.0,27,https://pypi.org/project/records,2019-02-21 13:34:41+00:00,300.0,191330.0,191330.0,https://anaconda.org/conda-forge/records,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n204,dgl,dmlc/dgl,dgl,,,graph,,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09+00:00,2020-12-15 17:08:52+00:00,2020-12-15 08:58:13+00:00,1238.0,204.0,648.0,6248.0,1432.0,2020-11-30 07:39:12+00:00,0.5.3,322.0,\"Python package built to ease deep learning on graph, on top of existing DL frameworks.\",15.0,,91.0,27,https://pypi.org/project/dgl,2020-12-15 09:08:55+00:00,15.0,12838.0,12838.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n205,Bayesian Optimization,fmfn/BayesianOptimization,bayesian-optimization,,,hyperopt,,https://github.com/fmfn/BayesianOptimization,https://github.com/fmfn/BayesianOptimization,MIT,2014-06-06 08:18:56+00:00,2020-10-25 15:15:11+00:00,2020-07-13 17:18:09+00:00,1022.0,42.0,152.0,4714.0,197.0,2020-05-16 16:03:51+00:00,1.2.0,8.0,A Python implementation of global optimization with gaussian processes.,632.0,540.0,26.0,27,https://pypi.org/project/bayesian-optimization,2020-05-16 15:56:09+00:00,92.0,70921.0,70922.0,,,,True,2,43.0,,,,,,,,,,,,,,,,,,,,,,\n206,OpenNMT,OpenNMT/OpenNMT-py,OpenNMT-py,,,nlp,['pytorch'],https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50+00:00,2020-12-14 08:38:03+00:00,2020-12-09 16:36:52+00:00,1742.0,94.0,1106.0,4682.0,2525.0,2020-11-10 18:09:08+00:00,2.0.0rc2,26.0,Open Source Neural Machine Translation in PyTorch.,66.0,62.0,164.0,27,https://pypi.org/project/OpenNMT-py,2020-11-10 18:10:02+00:00,4.0,3983.0,3983.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n207,PyOD,yzhao062/pyod,pyod,,,others,,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04+00:00,2020-12-10 16:55:54+00:00,2020-11-17 16:47:31+00:00,796.0,85.0,78.0,3893.0,1227.0,2020-11-17 17:07:55+00:00,V0.8.4,62.0,A Python Toolbox for Scalable Outlier Detection (Anomaly Detection).,419.0,413.0,20.0,27,https://pypi.org/project/pyod,2020-11-17 17:05:43+00:00,6.0,90579.0,90579.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n208,skorch,skorch-dev/skorch,skorch,conda-forge/skorch,,ml-frameworks,\"['pytorch', 'sklearn']\",https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54+00:00,2020-12-15 02:53:57+00:00,2020-12-14 14:09:04+00:00,271.0,48.0,311.0,3663.0,923.0,2020-08-30 10:46:40+00:00,0.9.0,12.0,A scikit-learn compatible neural network library that wraps PyTorch.,252.0,239.0,38.0,27,https://pypi.org/project/skorch,2020-08-30 10:43:37+00:00,13.0,9256.0,9256.0,https://anaconda.org/conda-forge/skorch,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n209,OCRmyPDF,jbarlow83/OCRmyPDF,ocrmypdf,,,ocr,,https://github.com/jbarlow83/OCRmyPDF,https://github.com/jbarlow83/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28+00:00,2020-12-13 00:27:54+00:00,2020-12-13 00:27:38+00:00,406.0,90.0,536.0,3534.0,2784.0,2020-12-12 07:38:12+00:00,11.4.0,152.0,\"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.\",107.0,95.0,47.0,27,https://pypi.org/project/ocrmypdf,2020-12-12 07:38:12+00:00,12.0,12280.0,12280.0,,,,True,2,,,ocrmypdf,,,,,,,,,,,,ocrmypdf,,,,,,,,\n210,imutils,jrosebr1/imutils,imutils,,,image,,https://github.com/jrosebr1/imutils,https://github.com/jrosebr1/imutils,MIT,2015-01-11 20:05:39+00:00,2020-11-10 01:52:08+00:00,2019-08-18 11:50:57+00:00,851.0,123.0,75.0,3433.0,137.0,2019-08-18 11:56:06+00:00,0.5.3,28.0,\"A series of convenience functions to make basic image processing operations such as translation, rotation, resizing,..\",12016.0,10820.0,19.0,27,https://pypi.org/project/imutils,2019-08-18 11:56:06+00:00,1196.0,149827.0,149827.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,\n211,lightfm,lyst/lightfm,lightfm,,,recommender-systems,,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00+00:00,2020-12-05 21:55:42+00:00,2020-11-27 19:54:37+00:00,561.0,127.0,272.0,3412.0,404.0,2020-11-27 19:48:30+00:00,1.16,14.0,\"A Python implementation of LightFM, a hybrid recommendation algorithm.\",387.0,359.0,42.0,27,https://pypi.org/project/lightfm,2020-11-27 19:55:08+00:00,28.0,100599.0,100599.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n212,Ignite,pytorch/ignite,pytorch-ignite,pytorch/ignite,,ml-frameworks,['pytorch'],https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21+00:00,2020-12-15 18:03:22+00:00,2020-12-15 13:00:43+00:00,401.0,98.0,575.0,3183.0,810.0,2020-09-20 20:00:28+00:00,0.4.2,405.0,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,724.0,662.0,113.0,27,https://pypi.org/project/pytorch-ignite,2020-12-13 00:36:57+00:00,62.0,28105.0,28105.0,https://anaconda.org/pytorch/ignite,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n213,memory-profiler,pythonprofilers/memory_profiler,memory_profiler,,,system-monitoring,,https://github.com/pythonprofilers/memory_profiler,https://github.com/pythonprofilers/memory_profiler,BSD-3-Clause,2011-10-14 11:56:14+00:00,2020-12-03 12:57:49+00:00,2020-12-03 12:57:47+00:00,292.0,82.0,98.0,2644.0,618.0,2018-08-16 03:16:49+00:00,0.54.0,52.0,Monitor Memory usage of Python code.,534.0,,83.0,27,https://pypi.org/project/memory_profiler,2018-08-16 03:16:49+00:00,534.0,173008.0,173008.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n214,missingno,ResidentMario/missingno,missingno,,,data-viz,,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50+00:00,2020-11-23 17:34:43+00:00,2020-11-23 17:34:42+00:00,328.0,15.0,86.0,2564.0,169.0,2019-07-09 16:03:51+00:00,0.4.2,21.0,Missing data visualization module for Python.,2517.0,2441.0,14.0,27,https://pypi.org/project/missingno,2018-06-29 16:25:00+00:00,76.0,207258.0,207258.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n215,pomegranate,jmschrei/pomegranate,pomegranate,pomegranate,,probabilistics,,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58+00:00,2020-12-12 22:53:41+00:00,2020-12-12 22:53:40+00:00,459.0,33.0,525.0,2542.0,839.0,2020-10-13 16:38:32+00:00,0.13.5,59.0,\"Fast, flexible and easy to use probabilistic modelling in Python.\",376.0,348.0,60.0,27,https://pypi.org/project/pomegranate,2020-07-12 21:28:17+00:00,28.0,19264.0,19264.0,https://anaconda.org/anaconda/pomegranate,2020-10-13 16:38:32+00:00,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n216,NMSLIB,nmslib/nmslib,nmslib,,,nn-search,,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06+00:00,2020-12-03 17:55:42+00:00,2020-11-03 18:25:07+00:00,328.0,44.0,309.0,2224.0,1421.0,2020-04-16 18:21:23+00:00,2.0.6,21.0,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,348.0,296.0,40.0,27,https://pypi.org/project/nmslib,2020-04-16 18:21:23+00:00,52.0,57178.0,57178.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n217,GPyTorch,cornellius-gp/gpytorch,gpytorch,,,probabilistics,['pytorch'],https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20+00:00,2020-12-12 00:39:42+00:00,2020-12-12 00:39:41+00:00,308.0,188.0,609.0,2207.0,3182.0,2020-11-30 21:36:11+00:00,1.3.0,24.0,A highly efficient and modular implementation of Gaussian Processes in PyTorch.,184.0,176.0,62.0,27,https://pypi.org/project/gpytorch,2020-11-30 21:38:19+00:00,8.0,31987.0,31987.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n218,GluonNLP,dmlc/gluon-nlp,gluonnlp,,,nlp,['mxnet'],https://github.com/dmlc/gluon-nlp,https://github.com/dmlc/gluon-nlp,Apache-2.0,2018-04-04 20:57:13+00:00,2020-12-15 13:34:42+00:00,2020-10-08 21:11:34+00:00,490.0,227.0,280.0,2190.0,781.0,2020-08-13 19:16:27+00:00,0.10.0,25.0,\"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..\",354.0,343.0,72.0,27,https://pypi.org/project/gluonnlp,2020-08-13 01:28:51+00:00,11.0,39395.0,39395.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n219,TRAINS,allegroai/trains,trains,,,ml-experiments,,https://github.com/allegroai/trains,https://github.com/allegroai/trains,Apache-2.0,2019-06-10 08:18:32+00:00,2020-12-10 11:03:43+00:00,2020-12-10 11:01:54+00:00,233.0,80.0,147.0,2020.0,910.0,2020-12-10 11:03:43+00:00,0.16.4,121.0,TRAINS - Auto-Magical Experiment Manager & Version Control for AI - NOW WITH AUTO-MAGICAL DEVOPS!.,51.0,51.0,23.0,27,https://pypi.org/project/trains,2020-12-10 10:59:49+00:00,0.0,155277.0,156940.0,,,,True,3,238.0,,,allegroai/trains,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671+00:00,,29706.0,,,,,,,,,,,,,,,\n220,Cufflinks,santosjorge/cufflinks,cufflinks,,,data-viz,['pandas'],https://github.com/santosjorge/cufflinks,https://github.com/santosjorge/cufflinks,MIT,2014-11-19 20:59:33+00:00,2020-10-07 16:12:54+00:00,2020-10-07 16:12:53+00:00,500.0,79.0,119.0,2018.0,450.0,2020-03-01 17:42:01+00:00,0.17.3,27.0,Productivity Tools for Plotly + Pandas.,2452.0,2335.0,37.0,27,https://pypi.org/project/cufflinks,2020-03-01 17:42:01+00:00,117.0,57297.0,57297.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n221,ipyparallel,ipython/ipyparallel,ipyparallel,,,distributed-ml,['jupyter'],https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,BSD-3-Clause,2015-04-09 07:43:55+00:00,2020-08-30 18:57:51+00:00,2020-08-24 09:09:27+00:00,721.0,138.0,107.0,1838.0,1817.0,2020-05-05 18:42:38+00:00,6.3.0,21.0,Interactive Parallel Computing in Python.,1811.0,1321.0,94.0,27,https://pypi.org/project/ipyparallel,2020-05-05 18:42:38+00:00,490.0,51465.0,51465.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n222,Databases,encode/databases,databases,,,db-clients,,https://github.com/encode/databases,https://github.com/encode/databases,BSD-3-Clause,2019-02-01 10:55:25+00:00,2020-12-10 06:34:13+00:00,2020-12-10 06:34:11+00:00,130.0,88.0,86.0,1836.0,268.0,2020-11-16 20:54:58+00:00,0.4.1,29.0,Async database support for Python.,1266.0,1206.0,28.0,27,https://pypi.org/project/databases,2020-11-16 20:54:58+00:00,60.0,47736.0,47736.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n223,TF-Agents,tensorflow/agents,tf-agents,,,reinforcement-learning,['tensorflow'],https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12+00:00,2020-12-15 18:29:47+00:00,2020-12-15 02:02:53+00:00,440.0,93.0,301.0,1721.0,1559.0,2020-11-17 03:53:32+00:00,0.7.0,15.0,TF-Agents is a library for Reinforcement Learning in TensorFlow.,324.0,318.0,83.0,27,https://pypi.org/project/tf-agents,2020-11-17 04:35:35+00:00,6.0,6536.0,6536.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n224,textacy,chartbeat-labs/textacy,textacy,,,nlp,,https://github.com/chartbeat-labs/textacy,https://github.com/chartbeat-labs/textacy,Apache-2.0,2016-02-03 16:52:45+00:00,2020-12-06 20:43:33+00:00,2020-12-06 20:43:27+00:00,211.0,29.0,194.0,1569.0,1328.0,2020-08-29 20:51:05+00:00,0.10.1,29.0,\"NLP, before and after spaCy.\",77.0,,28.0,27,https://pypi.org/project/textacy,2020-08-29 20:51:28+00:00,77.0,34575.0,34575.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n225,Ibis,ibis-project/ibis,ibis-framework,conda-forge/ibis-framework,,db-clients,,https://github.com/ibis-project/ibis,https://github.com/ibis-project/ibis,Apache-2.0,2015-04-17 20:43:46+00:00,2020-12-15 17:52:57+00:00,2020-12-14 14:21:58+00:00,243.0,513.0,937.0,1491.0,1318.0,2020-11-11 16:01:20+00:00,1.4.0,24.0,\"A pandas-like deferred expression system, with first-class SQL support.\",175.0,127.0,70.0,27,https://pypi.org/project/ibis-framework,2020-11-11 16:01:20+00:00,48.0,54735.0,54735.0,https://anaconda.org/conda-forge/ibis-framework,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n226,Cartopy,mapbox/rasterio,Cartopy,,,geospatial-data,,https://github.com/mapbox/rasterio,https://github.com/mapbox/rasterio,LGPL-3.0,2013-11-04 16:36:27+00:00,2020-12-15 00:21:47+00:00,2020-12-15 00:21:46+00:00,387.0,135.0,1183.0,1380.0,3239.0,2018-11-17 07:43:32+00:00,0.17.0,18.0,Rasterio reads and writes geospatial raster datasets.,2660.0,2487.0,109.0,27,https://pypi.org/project/Cartopy,2020-04-27 04:57:38+00:00,173.0,13519.0,13529.0,,,,False,2,701.0,,,,,,,,,,,,,,,,,,,,,,\n227,GPflow,GPflow/GPflow,gpflow,,,probabilistics,['tensorflow'],https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24+00:00,2020-12-15 17:19:15+00:00,2020-12-01 11:59:33+00:00,389.0,86.0,599.0,1350.0,2203.0,2020-12-01 12:59:03+00:00,2.1.4,28.0,Gaussian processes in TensorFlow.,222.0,205.0,68.0,27,https://pypi.org/project/gpflow,2020-12-01 13:12:15+00:00,17.0,7023.0,7023.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n228,ipyleaflet,jupyter-widgets/ipyleaflet,ipyleaflet,,,geospatial-data,['jupyter'],https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10+00:00,2020-12-12 05:33:28+00:00,2020-11-30 13:43:59+00:00,264.0,125.0,243.0,1062.0,892.0,2020-07-29 08:54:44+00:00,0.13.3,66.0,A Jupyter - Leaflet.js bridge.,726.0,626.0,63.0,27,https://pypi.org/project/ipyleaflet,2020-07-24 15:15:48+00:00,98.0,17188.0,171706.0,,,,True,2,,,,,,,,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2020-07-24 14:55:26.216000+00:00,2.0,154518.0,,,,,,,,,,\n229,PyCUDA,inducer/pycuda,pycuda,,,gpu-utilities,,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31+00:00,2020-12-14 00:47:01+00:00,2020-12-08 04:43:10+00:00,214.0,40.0,122.0,1039.0,1445.0,2019-08-12 04:15:37+00:00,2019.1.2,46.0,\"CUDA integration for Python, plus shiny features.\",979.0,687.0,68.0,27,https://pypi.org/project/pycuda,2020-10-07 21:59:52+00:00,292.0,14075.0,14075.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n230,Model Analysis,tensorflow/model-analysis,tensorflow-model-analysis,,,interpretability,\"['tensorflow', 'jupyter']\",https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49+00:00,2020-12-15 18:02:57+00:00,2020-12-15 18:02:50+00:00,201.0,22.0,32.0,1010.0,861.0,2020-11-04 18:38:50+00:00,0.25.0,32.0,Model analysis tools for TensorFlow.,10.0,,33.0,27,https://pypi.org/project/tensorflow-model-analysis,2020-09-24 22:14:07+00:00,10.0,3579616.0,3579616.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n231,PyStan,stan-dev/pystan,pystan,,,probabilistics,,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,GPL-3.0,2013-05-24 01:21:21+00:00,2020-11-21 11:22:51+00:00,2020-11-21 11:22:43+00:00,192.0,66.0,425.0,892.0,867.0,2020-10-16 20:20:46+00:00,2.19.1.1-codes,54.0,\"PyStan, the Python interface to Stan.\",2595.0,2253.0,54.0,27,https://pypi.org/project/pystan,2020-11-19 14:21:16+00:00,342.0,810090.0,810091.0,,,,False,2,84.0,,,,,,,,,,,,,,,,,,,,,,\n232,igraph,igraph/python-igraph,python-igraph,,,graph,,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16+00:00,2020-12-11 08:07:37+00:00,2020-12-11 08:07:36+00:00,180.0,23.0,254.0,737.0,1502.0,2020-10-08 14:50:52+00:00,0.8.3,18.0,Python interface for igraph.,1762.0,1338.0,47.0,27,https://pypi.org/project/python-igraph,2020-04-28 17:45:27+00:00,424.0,54317.0,54610.0,,,,False,1,14068.0,,,,,,,,,,,,,,,,,,,,,,\n233,geojson,jazzband/geojson,geojson,,,geospatial-data,,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48+00:00,2020-11-25 21:55:02+00:00,2020-11-25 19:10:27+00:00,78.0,18.0,50.0,580.0,445.0,2019-08-09 20:32:15+00:00,2.5.0,28.0,Python bindings and utilities for GeoJSON.,6954.0,5350.0,44.0,27,https://pypi.org/project/geojson,2019-08-09 20:32:15+00:00,1604.0,436326.0,436326.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n234,Yappi,sumerc/yappi,yappi,,,system-monitoring,,https://github.com/sumerc/yappi,https://github.com/sumerc/yappi,MIT,2009-10-07 20:46:30+00:00,2020-12-09 16:11:47+00:00,2020-12-09 16:11:46+00:00,35.0,10.0,29.0,534.0,635.0,2020-11-27 15:28:40+00:00,1.3.2,17.0,\"Yet Another Python Profiler, but this time thread&coroutine&greenlet aware.\",978.0,338.0,21.0,27,https://pypi.org/project/yappi,2020-11-27 15:28:40+00:00,640.0,123281.0,123281.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n235,DIPY,dipy/dipy,dipy,conda-forge/dipy,,medical-data,,https://github.com/dipy/dipy,https://github.com/dipy/dipy,BSD-3-Clause,2010-02-06 11:43:08+00:00,2020-12-10 16:48:08+00:00,2020-12-10 16:48:07+00:00,313.0,156.0,571.0,367.0,11365.0,2020-11-05 17:35:53+00:00,1.3.0,21.0,\"DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal..\",404.0,310.0,118.0,27,https://pypi.org/project/dipy,2020-11-05 17:35:53+00:00,94.0,7627.0,7627.0,https://anaconda.org/conda-forge/dipy,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n236,Streamlit,streamlit/streamlit,streamlit,,,others,,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52+00:00,2020-12-15 17:40:44+00:00,2020-12-15 16:17:26+00:00,1016.0,506.0,902.0,12163.0,,2020-11-11 22:34:54+00:00,0.72.0,118.0,Streamlit The fastest way to build data apps in Python.,72.0,38.0,81.0,26,https://pypi.org/project/streamlit,2020-12-02 22:07:33+00:00,34.0,124180.0,124180.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n237,EasyOCR,JaidedAI/EasyOCR,easyocr,,,ocr,,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39+00:00,2020-12-08 00:45:38+00:00,2020-12-03 09:25:05+00:00,878.0,71.0,149.0,9491.0,358.0,2020-11-17 05:17:50+00:00,1.2,13.0,\"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..\",89.0,89.0,70.0,26,https://pypi.org/project/easyocr,2020-11-21 11:04:24+00:00,,7570.0,19252.0,,,,True,2,70093.0,,,,,,,,,,,,,,,,,,,,,,\n238,Dopamine,google/dopamine,dopamine-rl,,,reinforcement-learning,['tensorflow'],https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36+00:00,2020-11-24 20:59:46+00:00,2020-11-24 20:59:42+00:00,1225.0,72.0,68.0,9240.0,210.0,2020-10-16 22:05:03+00:00,3.1.8,34.0,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,31.0,,13.0,26,https://pypi.org/project/dopamine-rl,2020-10-16 22:05:03+00:00,31.0,52217.0,52217.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n239,NNI,microsoft/nni,nni,,,hyperopt,,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44+00:00,2020-12-15 18:23:00+00:00,2020-12-15 08:37:53+00:00,1078.0,235.0,845.0,8506.0,1815.0,2020-10-22 13:31:52+00:00,1.9,34.0,\"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..\",83.0,75.0,110.0,26,https://pypi.org/project/nni,2020-10-22 13:15:53+00:00,8.0,2396.0,2396.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n240,Ludwig,uber/ludwig,ludwig,,,ml-frameworks,['tensorflow'],https://github.com/uber/ludwig,https://github.com/uber/ludwig,Apache-2.0,2018-12-27 23:58:12+00:00,2020-12-15 15:55:20+00:00,2020-12-15 15:55:17+00:00,867.0,96.0,400.0,7347.0,2032.0,2020-11-16 23:55:59+00:00,0.3.1,14.0,Ludwig is a toolbox that allows to train and evaluate deep learning models without the need to write code.,77.0,71.0,84.0,26,https://pypi.org/project/ludwig,2020-10-05 23:55:39+00:00,6.0,1214.0,1214.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n241,PySyft,OpenMined/PySyft,syft,,,privacy-ml,['pytorch'],https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,MIT,2017-07-18 20:41:16+00:00,2020-12-15 17:33:52+00:00,2020-12-13 05:19:24+00:00,1509.0,173.0,2414.0,6646.0,6515.0,2020-11-12 19:57:33+00:00,0.3.0,48.0,A library for answering questions using data you cannot see.,3.0,,328.0,26,https://pypi.org/project/syft,2020-09-14 15:03:40+00:00,3.0,2719.0,2719.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n242,TensorLayer,tensorlayer/tensorlayer,tensorlayer,,,reinforcement-learning,['tensorflow'],https://github.com/tensorlayer/tensorlayer,https://github.com/tensorlayer/tensorlayer,Apache-2.0,2016-06-07 15:55:16+00:00,2020-12-15 06:43:41+00:00,2020-10-29 07:58:40+00:00,1444.0,48.0,403.0,6417.0,3299.0,2020-06-19 00:53:37+00:00,2.2.3,82.0,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,68.0,,127.0,26,https://pypi.org/project/tensorlayer,2020-06-19 00:53:37+00:00,68.0,2837.0,2860.0,,,,True,2,1192.0,,,,,,,,,,,,,,,,,,,,,,\n243,py-spy,benfred/py-spy,py-spy,,,system-monitoring,,https://github.com/benfred/py-spy,https://github.com/benfred/py-spy,MIT,2018-08-01 02:22:15+00:00,2020-12-13 00:31:30+00:00,2020-11-20 05:01:41+00:00,216.0,49.0,126.0,6300.0,338.0,2020-02-24 06:04:00+00:00,0.3.3,26.0,Sampling profiler for Python programs.,501.0,476.0,19.0,26,https://pypi.org/project/py-spy,2020-06-22 23:38:51+00:00,25.0,213837.0,214067.0,,,,True,2,3921.0,,,,,,,,,,,,,,,,py-spy,,,,,,\n244,imageai,OlafenwaMoses/ImageAI,imageai,,,image,,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33+00:00,2020-12-06 16:55:31+00:00,2020-01-14 21:25:23+00:00,1556.0,194.0,384.0,5537.0,277.0,2019-09-13 22:44:02+00:00,2.1.5,9.0,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,627.0,615.0,13.0,26,https://pypi.org/project/imageai,2019-09-13 22:44:02+00:00,12.0,6167.0,22147.0,,,,True,3,511387.0,,,,,,,,,,,,,,,,,,,,,,\n245,tsfresh,blue-yonder/tsfresh,tsfresh,,,time-series-data,['sklearn'],https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17+00:00,2020-12-15 07:10:20+00:00,2020-12-15 07:10:18+00:00,813.0,29.0,390.0,5219.0,398.0,2020-09-09 21:08:22+00:00,0.17.0,26.0,Automatic extraction of relevant features from time series:.,33.0,,69.0,26,https://pypi.org/project/tsfresh,2020-09-09 21:08:22+00:00,33.0,158709.0,158709.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n246,backtrader,mementum/backtrader,backtrader,,,financial-data,,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52+00:00,2020-11-27 15:29:29+00:00,2020-07-03 12:52:48+00:00,1617.0,13.0,,5173.0,2381.0,,,155.0,Python Backtesting library for trading strategies.,454.0,384.0,50.0,26,https://pypi.org/project/backtrader,2020-07-03 13:02:14+00:00,70.0,12046.0,12046.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,\n247,auto-sklearn,automl/auto-sklearn,auto-sklearn,,,hyperopt,['sklearn'],https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10+00:00,2020-12-14 08:21:46+00:00,2020-12-07 14:42:03+00:00,961.0,118.0,549.0,5064.0,2387.0,2020-12-08 13:18:41+00:00,0.12.0,24.0,Automated Machine Learning with scikit-learn.,136.0,121.0,63.0,26,https://pypi.org/project/auto-sklearn,2020-12-08 13:18:41+00:00,15.0,5800.0,5800.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n248,DeepPavlov,deepmipt/DeepPavlov,deeppavlov,,,nlp,\"['tensorflow', 'keras']\",https://github.com/deepmipt/DeepPavlov,https://github.com/deepmipt/DeepPavlov,Apache-2.0,2017-11-17 14:35:29+00:00,2020-12-15 14:54:42+00:00,2020-11-13 11:16:19+00:00,872.0,62.0,445.0,4891.0,2572.0,2020-11-13 11:39:59+00:00,0.13.0,40.0,An open source library for deep learning end-to-end dialog systems and chatbots.,168.0,164.0,60.0,26,https://pypi.org/project/deeppavlov,2020-11-13 11:22:35+00:00,4.0,6971.0,6971.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n249,keras-rl,keras-rl/keras-rl,keras-rl,,,reinforcement-learning,['keras'],https://github.com/keras-rl/keras-rl,https://github.com/keras-rl/keras-rl,MIT,2016-07-02 15:53:12+00:00,2020-11-20 07:32:13+00:00,2019-11-11 22:14:54+00:00,1284.0,39.0,209.0,4886.0,308.0,2018-06-01 07:52:24+00:00,0.4.2,8.0,Deep Reinforcement Learning for Keras.,486.0,435.0,40.0,26,https://pypi.org/project/keras-rl,2018-06-01 07:52:24+00:00,51.0,1418.0,1418.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,\n250,scikit-surprise,NicolasHug/Surprise,scikit-surprise,,,recommender-systems,,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38+00:00,2020-08-14 13:20:04+00:00,2020-08-05 17:45:59+00:00,803.0,35.0,285.0,4566.0,622.0,2020-07-19 14:50:48+00:00,1.1.1,9.0,A Python scikit for building and analyzing recommender systems.,850.0,826.0,38.0,26,https://pypi.org/project/scikit-surprise,2020-07-19 14:50:48+00:00,24.0,43127.0,43127.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n251,PDFMiner,euske/pdfminer,pdfminer,,,data-loading,,https://github.com/euske/pdfminer,https://github.com/euske/pdfminer,MIT,2010-12-12 12:50:22+00:00,2020-06-23 18:16:10+00:00,2020-01-18 07:00:32+00:00,1024.0,222.0,38.0,4448.0,540.0,,,24.0,Python PDF Parser (Not actively maintained). Check out pdfminer.six.,3365.0,1899.0,28.0,26,https://pypi.org/project/pdfminer,2019-11-25 12:02:21+00:00,1466.0,187352.0,187352.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n252,Metaflow,Netflix/metaflow,metaflow,,,ml-experiments,,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25+00:00,2020-12-02 20:53:41+00:00,2020-12-01 22:33:03+00:00,310.0,107.0,136.0,3854.0,174.0,2020-11-11 10:43:10+00:00,2.2.5,14.0,Build and manage real-life data science projects with ease.,97.0,96.0,28.0,26,https://pypi.org/project/metaflow,2020-10-29 00:11:07+00:00,1.0,39193.0,39193.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n253,MechanicalSoup,MechanicalSoup/MechanicalSoup,MechanicalSoup,,,web-scraping,,https://github.com/MechanicalSoup/MechanicalSoup,https://github.com/MechanicalSoup/MechanicalSoup,MIT,2014-05-26 09:06:11+00:00,2020-11-11 08:39:09+00:00,2020-11-11 08:39:08+00:00,308.0,21.0,119.0,3626.0,556.0,2019-08-27 16:49:38+00:00,0.12.0,23.0,A Python library for automating interaction with websites.,390.0,,41.0,26,https://pypi.org/project/MechanicalSoup,2019-08-27 16:49:38+00:00,390.0,33508.0,33508.0,,,,True,3,36.0,,,,,,,,,,,,,,,,,,,,,,\n254,pyAudioAnalysis,tyiannak/pyAudioAnalysis,pyAudioAnalysis,,,audio,,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13+00:00,2020-11-19 20:08:47+00:00,2020-11-19 20:08:40+00:00,922.0,158.0,103.0,3591.0,672.0,2020-09-29 21:30:02+00:00,0.3.6,15.0,\"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.\",179.0,168.0,23.0,26,https://pypi.org/project/pyAudioAnalysis,2020-09-29 21:30:02+00:00,11.0,9006.0,9006.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n255,Perspective,finos/perspective,perspective-python,,,data-viz,['jupyter'],https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54+00:00,2020-12-14 23:43:31+00:00,2020-10-30 15:11:36+00:00,327.0,69.0,277.0,3045.0,4226.0,2020-10-15 13:18:28+00:00,0.5.6,38.0,Streaming pivot visualization via WebAssembly.,164.0,160.0,58.0,26,https://pypi.org/project/perspective-python,2020-10-15 13:18:28+00:00,4.0,552.0,1704.0,,,,True,3,,,,,,,,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2020-10-15 12:44:46.020000+00:00,,1152.0,,,,,,,,,,\n256,textract,deanmalmgren/textract,textract,,,data-loading,,https://github.com/deanmalmgren/textract,https://github.com/deanmalmgren/textract,MIT,2014-07-03 20:36:59+00:00,2020-12-08 20:26:58+00:00,2019-11-14 08:37:39+00:00,415.0,84.0,121.0,2914.0,556.0,2019-08-26 15:05:53+00:00,1.6.3,15.0,extract text from any document. no muss. no fuss.,192.0,,30.0,26,https://pypi.org/project/textract,2019-08-26 15:05:53+00:00,192.0,58965.0,58965.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n257,sktime,alan-turing-institute/sktime,sktime,,,time-series-data,['sklearn'],https://github.com/alan-turing-institute/sktime,https://github.com/alan-turing-institute/sktime,BSD-3-Clause,2018-11-06 15:08:24+00:00,2020-12-15 18:38:15+00:00,2020-12-15 15:17:59+00:00,369.0,86.0,181.0,2689.0,1485.0,2020-10-20 17:12:29+00:00,0.4.3,9.0,A unified framework for machine learning with time series.,81.0,81.0,67.0,26,https://pypi.org/project/sktime,2020-10-20 16:11:01+00:00,,6960.0,6962.0,,,,True,1,41.0,,,,,,,,,,,,,,,,,,,,,,\n258,tensorflow-hub,tensorflow/hub,tensorflow-hub,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42+00:00,2020-12-14 16:19:27+00:00,2020-12-14 16:19:23+00:00,1408.0,42.0,488.0,2650.0,804.0,2020-10-29 15:10:15+00:00,0.10.0,13.0,A library for transfer learning by reusing parts of TensorFlow models.,4962.0,4648.0,65.0,26,https://pypi.org/project/tensorflow-hub,2020-10-29 14:53:02+00:00,314.0,,,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n259,Dagster,dagster-io/dagster,dagster,,,data-pipelines,,https://github.com/dagster-io/dagster,https://github.com/dagster-io/dagster,Apache-2.0,2018-04-30 16:30:04+00:00,2020-12-15 17:54:55+00:00,2020-12-15 17:54:50+00:00,248.0,585.0,1710.0,2425.0,6077.0,2020-12-11 04:26:56+00:00,0.9.22.post0,224.0,\"A data orchestrator for machine learning, analytics, and ETL.\",127.0,123.0,106.0,26,https://pypi.org/project/dagster,2020-12-11 04:26:29+00:00,4.0,29103.0,29103.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n260,Hyperas,maxpumperla/hyperas,hyperas,,,hyperopt,['keras'],https://github.com/maxpumperla/hyperas,https://github.com/maxpumperla/hyperas,MIT,2016-02-19 14:45:10+00:00,2020-10-02 08:10:06+00:00,2020-10-02 08:10:05+00:00,296.0,88.0,158.0,2053.0,208.0,2019-02-28 09:16:54+00:00,0.4.1,9.0,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,208.0,187.0,21.0,26,https://pypi.org/project/hyperas,2019-02-28 09:16:54+00:00,21.0,15490.0,15490.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n261,Core ML Tools,apple/coremltools,coremltools,,,model-serialisation,,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02+00:00,2020-12-15 07:26:59+00:00,2020-12-14 18:59:36+00:00,319.0,294.0,295.0,2019.0,847.0,2020-10-10 18:21:00+00:00,4.0,27.0,\"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.\",556.0,423.0,107.0,26,https://pypi.org/project/coremltools,2020-10-10 18:16:12+00:00,133.0,40623.0,40676.0,,,,True,2,2086.0,,,,,,,,,,,,,,,,,,,,,,\n262,Grab,lorien/grab,grab,,,web-scraping,,https://github.com/lorien/grab,https://github.com/lorien/grab,MIT,2013-05-01 08:10:22+00:00,2020-12-10 19:43:05+00:00,2020-12-08 03:50:03+00:00,241.0,26.0,189.0,2016.0,2179.0,2018-06-24 14:27:52+00:00,0.6.41,120.0,Web Scraping Framework.,397.0,297.0,65.0,26,https://pypi.org/project/grab,2018-06-24 14:27:52+00:00,100.0,2689.0,2689.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n263,BoTorch,pytorch/botorch,botorch,,,hyperopt,['pytorch'],https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57+00:00,2020-12-13 17:12:06+00:00,2020-12-12 02:20:12+00:00,171.0,40.0,104.0,1777.0,784.0,2020-12-08 06:47:25+00:00,0.3.3,16.0,Bayesian optimization in PyTorch.,68.0,68.0,47.0,26,https://pypi.org/project/botorch,2020-12-08 06:47:25+00:00,0.0,28979.0,28979.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n264,PyFunctional,EntilZha/PyFunctional,pyfunctional,,,data-pipelines,,https://github.com/EntilZha/PyFunctional,https://github.com/EntilZha/PyFunctional,MIT,2015-02-05 17:17:51+00:00,2020-12-13 23:25:39+00:00,2020-09-17 13:33:20+00:00,96.0,3.0,113.0,1744.0,513.0,2020-09-17 13:36:04+00:00,1.4.2,13.0,Python library for creating data pipelines with chain functional programming.,240.0,240.0,21.0,26,https://pypi.org/project/pyfunctional,2020-09-17 13:36:04+00:00,0.0,34650.0,34650.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n265,Foolbox,bethgelab/foolbox,foolbox,,,adversarial,,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48+00:00,2020-10-19 15:16:32+00:00,2020-10-19 12:41:49+00:00,307.0,38.0,260.0,1728.0,1634.0,2020-09-26 06:49:13+00:00,3.2.1,66.0,\"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.\",175.0,157.0,30.0,26,https://pypi.org/project/foolbox,2020-09-26 06:49:13+00:00,18.0,1467.0,1467.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n266,langid,saffsd/langid.py,langid,,,nlp,,https://github.com/saffsd/langid.py,https://github.com/saffsd/langid.py,BSD-3-Clause,2011-04-29 00:16:56+00:00,2020-01-01 10:49:30+00:00,2017-07-15 02:49:17+00:00,265.0,25.0,45.0,1688.0,242.0,2016-04-05 22:34:15+00:00,1.1.6,8.0,Stand-alone language identification system.,809.0,559.0,9.0,26,https://pypi.org/project/langid,2016-04-05 22:34:15+00:00,250.0,548835.0,548835.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,\n267,Diamond,python-diamond/Diamond,diamond,,,system-monitoring,,https://github.com/python-diamond/Diamond,https://github.com/python-diamond/Diamond,MIT,2013-10-11 23:32:13+00:00,2020-05-26 18:27:46+00:00,2018-03-15 16:54:31+00:00,592.0,226.0,128.0,1592.0,3219.0,2016-11-25 22:13:29+00:00,4.0.515,36.0,Diamond is a python daemon that collects system metrics and publishes them to Graphite (and others). It is capable of..,85.0,54.0,342.0,26,https://pypi.org/project/diamond,2016-11-25 22:13:29+00:00,31.0,22575.0,22575.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,\n268,tslearn,tslearn-team/tslearn,tslearn,conda-forge/tslearn,,time-series-data,['sklearn'],https://github.com/tslearn-team/tslearn,https://github.com/tslearn-team/tslearn,BSD-2-Clause,2017-05-04 13:08:13+00:00,2020-12-15 16:28:27+00:00,2020-12-07 10:09:00+00:00,208.0,51.0,159.0,1409.0,1525.0,2020-06-18 15:54:49+00:00,0.4.1,90.0,A machine learning toolkit dedicated to time-series data.,175.0,164.0,27.0,26,https://pypi.org/project/tslearn,2020-06-18 16:13:01+00:00,11.0,40861.0,40861.0,https://anaconda.org/conda-forge/tslearn,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n269,datasketch,ekzhu/datasketch,datasketch,,,data-containers,,https://github.com/ekzhu/datasketch,https://github.com/ekzhu/datasketch,MIT,2015-03-20 01:21:46+00:00,2020-12-10 18:45:58+00:00,2020-12-10 18:35:40+00:00,195.0,17.0,88.0,1392.0,188.0,2020-03-12 22:50:20+00:00,1.5.1,73.0,\"MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble.\",322.0,236.0,15.0,26,https://pypi.org/project/datasketch,2020-03-12 22:50:20+00:00,86.0,217427.0,217427.0,,,,True,3,16.0,,,,,,,,,,,,,,,,,,,,,,\n270,tesserocr,sirfz/tesserocr,tesserocr,conda-forge/tesserocr,,ocr,,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36+00:00,2020-11-17 19:55:51+00:00,2020-11-17 19:55:36+00:00,185.0,60.0,141.0,1365.0,151.0,2020-03-17 17:45:44+00:00,2.5.1,15.0,A Python wrapper for the tesseract-ocr API.,477.0,427.0,23.0,26,https://pypi.org/project/tesserocr,2020-03-17 17:45:44+00:00,50.0,45244.0,45244.0,https://anaconda.org/conda-forge/tesserocr,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n271,Flax,google/flax,flax,,,ml-frameworks,['jax'],https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37+00:00,2020-12-15 14:34:03+00:00,2020-12-11 00:10:41+00:00,147.0,114.0,100.0,1289.0,1373.0,2020-12-08 15:13:37+00:00,0.3.0,9.0,Flax is a neural network ecosystem for JAX that is designed for flexibility.,70.0,67.0,68.0,26,https://pypi.org/project/flax,2020-12-08 15:14:03+00:00,3.0,49414.0,49415.0,,,,True,3,16.0,,,,,,,,,,,,,,,,,,,,,,\n272,TF Model Optimization,tensorflow/model-optimization,tensorflow-model-optimization,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/model-optimization,https://github.com/tensorflow/model-optimization,Apache-2.0,2018-10-31 20:34:28+00:00,2020-12-05 10:45:55+00:00,2020-11-23 18:50:28+00:00,207.0,70.0,85.0,929.0,459.0,2020-09-14 04:46:03+00:00,0.5.0,20.0,\"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.\",484.0,481.0,41.0,26,https://pypi.org/project/tensorflow-model-optimization,2020-09-14 04:36:08+00:00,3.0,57872.0,57872.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n273,petl,petl-developers/petl,petl,,http://petl.readthedocs.org,data-pipelines,,https://github.com/petl-developers/petl,https://github.com/petl-developers/petl,MIT,2011-08-19 09:51:03+00:00,2020-12-10 17:03:13+00:00,2020-10-06 16:17:45+00:00,146.0,66.0,341.0,801.0,1098.0,2020-10-06 00:03:28+00:00,1.6.8,74.0,Python Extract Transform and Load Tables of Data.,413.0,299.0,42.0,26,https://pypi.org/project/petl,2020-10-06 00:03:28+00:00,114.0,16571.0,16571.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n274,cx-Oracle,oracle/python-cx_Oracle,cx-Oracle,,,db-clients,,https://github.com/oracle/python-cx_Oracle,https://github.com/oracle/python-cx_Oracle,BSD-3-Clause,2017-03-07 04:03:36+00:00,2020-12-13 12:29:47+00:00,2020-12-08 20:18:07+00:00,243.0,32.0,456.0,685.0,1074.0,2020-12-08 21:31:48+00:00,8.1.0,32.0,Python interface to Oracle Database conforming to the Python DB API 2.0 specification.,144.0,,16.0,26,https://pypi.org/project/cx-Oracle,2020-12-08 21:31:48+00:00,144.0,1037394.0,1037394.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n275,dask-ml,dask/dask-ml,dask-ml,,,distributed-ml,,https://github.com/dask/dask-ml,https://github.com/dask/dask-ml,BSD-3-Clause,2017-06-15 15:56:06+00:00,2020-11-25 22:14:18+00:00,2020-11-25 22:14:17+00:00,177.0,173.0,200.0,678.0,749.0,2020-09-24 19:34:38+00:00,1.7.0,26.0,Scalable Machine Learning with Dask.,358.0,316.0,60.0,26,https://pypi.org/project/dask-ml,2020-09-24 19:34:38+00:00,42.0,42593.0,42593.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n276,TensorFlow Text,tensorflow/text,tensorflow-text,,,nlp,['tensorflow'],https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03+00:00,2020-12-15 16:41:04+00:00,2020-12-15 01:05:00+00:00,81.0,41.0,79.0,668.0,310.0,2020-07-28 22:33:24+00:00,2.3.0,27.0,Making text a first-class citizen in TensorFlow.,370.0,368.0,30.0,26,https://pypi.org/project/tensorflow-text,2020-11-16 09:35:04+00:00,2.0,123680.0,123680.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n277,empyrical,quantopian/empyrical,empyrical,,,financial-data,,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52+00:00,2020-10-14 13:23:19+00:00,2020-10-14 13:22:39+00:00,205.0,27.0,26.0,655.0,167.0,2020-10-13 21:28:25+00:00,0.5.5,20.0,Common financial risk and performance metrics. Used by zipline and pyfolio.,696.0,474.0,22.0,26,https://pypi.org/project/empyrical,2020-10-13 17:31:37+00:00,222.0,13102.0,13102.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n278,PyVista,pyvista/pyvista,pyvista,,,data-viz,['jupyter'],https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42+00:00,2020-12-13 07:01:28+00:00,2020-12-11 18:45:40+00:00,132.0,114.0,259.0,610.0,2041.0,2020-12-10 16:30:09+00:00,0.27.4,32.0,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,239.0,213.0,46.0,26,https://pypi.org/project/pyvista,2020-12-10 16:30:09+00:00,26.0,9908.0,9908.0,,,,True,3,14.0,,,,,,,,,,,,,,,,,,,,,,\n279,zarr,zarr-developers/zarr-python,zarr,zarr,,data-containers,,https://github.com/zarr-developers/zarr-python,https://github.com/zarr-developers/zarr-python,MIT,2015-12-15 14:49:40+00:00,2020-12-11 18:01:14+00:00,2020-12-03 23:40:02+00:00,102.0,176.0,227.0,600.0,1349.0,2020-10-08 19:26:53+00:00,2.5.0,31.0,\"An implementation of chunked, compressed, N-dimensional arrays for Python.\",564.0,492.0,35.0,26,https://pypi.org/project/zarr,2020-12-02 18:33:13+00:00,72.0,22773.0,22773.0,https://anaconda.org/anaconda/zarr,2020-10-08 19:26:53+00:00,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n280,Mesh,tensorflow/mesh,mesh-tensorflow,,,distributed-ml,['tensorflow'],https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34+00:00,2020-12-15 16:11:16+00:00,2020-12-15 16:11:07+00:00,107.0,61.0,12.0,598.0,565.0,2020-10-13 13:40:11+00:00,0.1.17,23.0,Mesh TensorFlow: Model Parallelism Made Easier.,490.0,462.0,38.0,26,https://pypi.org/project/mesh-tensorflow,2020-10-13 13:40:11+00:00,28.0,72779.0,72779.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n281,SMAC3,automl/SMAC3,smac,,,hyperopt,,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-3-Clause,2016-08-17 10:58:05+00:00,2020-12-15 15:12:45+00:00,2020-10-29 10:14:55+00:00,153.0,76.0,250.0,541.0,1888.0,2020-10-29 10:57:56+00:00,0.13.1,29.0,Sequential Model-based Algorithm Configuration.,58.0,,30.0,26,https://pypi.org/project/smac,2020-10-29 10:57:56+00:00,58.0,10071.0,10071.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n282,mpi4py,mpi4py/mpi4py,mpi4py,,,distributed-ml,,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-3-Clause,2013-09-05 14:44:25+00:00,2020-12-15 11:43:12+00:00,2020-11-10 20:01:45+00:00,60.0,,3.0,365.0,2167.0,2020-07-27 06:40:19+00:00,3.0.3,13.0,Python bindings for MPI.,700.0,,13.0,26,https://pypi.org/project/mpi4py,2019-11-04 13:05:10+00:00,700.0,231068.0,231104.0,,,,True,2,184.0,,,,,,,,,,,,,,,,,,,,,,\n283,cloudant,cloudant/python-cloudant,cloudant,,,db-clients,,https://github.com/cloudant/python-cloudant,https://github.com/cloudant/python-cloudant,Apache-2.0,2015-08-28 16:22:49+00:00,2020-11-25 17:20:17+00:00,2020-11-25 17:20:12+00:00,44.0,39.0,240.0,156.0,802.0,2020-08-18 12:14:54+00:00,2.14.0,46.0,A Python library for Cloudant and CouchDB.,1767.0,1233.0,27.0,26,https://pypi.org/project/cloudant,2020-08-18 11:22:22+00:00,534.0,45592.0,45592.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n284,MMDetection,open-mmlab/mmdetection,,,,image,['pytorch'],https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06+00:00,2020-12-15 16:01:38+00:00,2020-12-15 14:46:59+00:00,4409.0,388.0,2783.0,12867.0,1356.0,2020-11-30 15:29:24+00:00,2.7.0,7.0,OpenMMLab Detection Toolbox and Benchmark.,17.0,17.0,180.0,25,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n285,NuPIC,numenta/nupic,nupic,,,ml-frameworks,,https://github.com/numenta/nupic,https://github.com/numenta/nupic,AGPL-3.0,2013-04-05 23:14:27+00:00,2020-12-11 19:56:36+00:00,2019-10-23 20:45:07+00:00,1585.0,456.0,1337.0,6190.0,6625.0,2018-06-01 15:37:54+00:00,1.0.5,53.0,\"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..\",124.0,86.0,119.0,25,https://pypi.org/project/nupic,2018-06-01 15:37:54+00:00,38.0,1493.0,1493.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n286,PyTorch Image Models,rwightman/pytorch-image-models,,,,image,['pytorch'],https://github.com/rwightman/pytorch-image-models,https://github.com/rwightman/pytorch-image-models,Apache-2.0,2019-02-02 05:51:12+00:00,2020-12-09 01:04:58+00:00,2020-12-08 18:19:36+00:00,825.0,22.0,195.0,5941.0,633.0,2020-10-26 23:59:21+00:00,0.1-itjx,12.0,\"PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2,..\",204.0,204.0,25.0,25,,,,,7376.0,,,,True,3,140152.0,,,,,,,,,,,,,,,,,,,,,,\n287,Trax,google/trax,trax,,,others,,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14+00:00,2020-12-15 15:47:36+00:00,2020-12-15 15:47:24+00:00,497.0,53.0,94.0,5399.0,1201.0,2020-10-21 02:32:42+00:00,1.3.6,19.0,Trax Deep Learning with Clear Code and Speed.,13.0,13.0,52.0,25,https://pypi.org/project/trax,2020-10-21 02:31:08+00:00,,2679.0,2679.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n288,CleverHans,tensorflow/cleverhans,cleverhans,,,adversarial,['tensorflow'],https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04+00:00,2020-12-09 17:37:00+00:00,2020-07-09 02:26:15+00:00,1193.0,74.0,373.0,4864.0,3001.0,2018-11-27 17:36:15+00:00,3.0.1,6.0,\"An adversarial example library for constructing attacks, building defenses, and benchmarking both.\",182.0,174.0,108.0,25,https://pypi.org/project/cleverhans,2018-11-27 17:36:15+00:00,8.0,898.0,898.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n289,Edward,blei-lab/edward,edward,,,probabilistics,['tensorflow'],https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05+00:00,2019-10-22 20:30:48+00:00,2018-07-25 01:28:08+00:00,767.0,212.0,327.0,4583.0,1796.0,2018-01-22 06:03:37+00:00,1.3.5,28.0,\"A probabilistic programming language in TensorFlow. Deep generative models, variational inference.\",238.0,201.0,87.0,25,https://pypi.org/project/edward,2018-01-22 06:03:05+00:00,37.0,1187.0,1187.0,,,,False,3,10.0,,,,,,,,,,,,,,,,,,,,,,\n290,Augmentor,mdbloice/Augmentor,Augmentor,,,image,,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55+00:00,2020-11-10 05:20:01+00:00,2020-03-09 11:32:02+00:00,777.0,115.0,67.0,4243.0,511.0,2020-01-17 11:59:53+00:00,0.2.8,20.0,Image augmentation library in Python for machine learning.,307.0,265.0,22.0,25,https://pypi.org/project/Augmentor,2020-01-17 11:59:53+00:00,42.0,2824.0,2824.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n291,BigDL,intel-analytics/BigDL,bigdl,,,distributed-ml,,https://github.com/intel-analytics/BigDL,https://github.com/intel-analytics/BigDL,Apache-2.0,2016-08-29 07:59:50+00:00,2020-12-10 08:34:34+00:00,2020-12-10 06:32:39+00:00,899.0,180.0,725.0,3676.0,2655.0,2020-12-06 03:04:34+00:00,0.12.1,36.0,BigDL: Distributed Deep Learning Framework for Apache Spark.,22.0,19.0,71.0,25,https://pypi.org/project/bigdl,2020-12-06 03:04:34+00:00,3.0,1127.0,1127.0,,,,True,2,,,,,,,,,,,,,,,,,,com.intel.analytics.bigdl:bigdl-SPARK_2.4,https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4,2020-12-05 03:54:47+00:00,0.0,,\n292,mlpack,mlpack/mlpack,mlpack,,,ml-frameworks,,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59+00:00,2020-12-15 18:20:23+00:00,2020-12-15 18:20:20+00:00,1276.0,156.0,1169.0,3482.0,25510.0,2020-10-28 18:28:47+00:00,3.4.2,40.0,mlpack: a scalable C++ machine learning library --.,,,257.0,25,https://pypi.org/project/mlpack,2020-10-28 18:28:47+00:00,,309.0,309.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n293,pyfolio,quantopian/pyfolio,pyfolio,,,financial-data,,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39+00:00,2020-07-29 16:06:37+00:00,2020-07-15 13:46:58+00:00,988.0,119.0,263.0,3288.0,1184.0,2019-04-15 14:54:03+00:00,0.9.1,21.0,Portfolio and risk analytics in Python.,208.0,181.0,55.0,25,https://pypi.org/project/pyfolio,2019-04-15 14:54:03+00:00,27.0,6133.0,6133.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n294,yellowbrick,DistrictDataLabs/yellowbrick,yellowbrick,,,interpretability,['sklearn'],https://github.com/DistrictDataLabs/yellowbrick,https://github.com/DistrictDataLabs/yellowbrick,Apache-2.0,2016-05-18 14:12:17+00:00,2020-11-01 16:41:29+00:00,2020-11-01 16:41:28+00:00,462.0,83.0,504.0,3031.0,829.0,2020-10-09 19:34:55+00:00,1.2,19.0,Visual analysis and diagnostic tools to facilitate machine learning model selection.,62.0,,95.0,25,https://pypi.org/project/yellowbrick,2020-10-09 19:35:00+00:00,62.0,59670.0,59670.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n295,Alpha Vantage,RomelTorres/alpha_vantage,alpha_vantage,,,financial-data,,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00+00:00,2020-09-05 22:07:00+00:00,2020-09-03 14:05:24+00:00,533.0,18.0,190.0,2898.0,467.0,2020-04-26 21:04:59+00:00,2.2.0,28.0,A python wrapper for Alpha Vantage API for financial data.,202.0,,34.0,25,https://pypi.org/project/alpha_vantage,2018-08-26 18:55:11+00:00,202.0,26686.0,26686.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n296,ftfy,LuminosoInsight/python-ftfy,ftfy,,,nlp,,https://github.com/LuminosoInsight/python-ftfy,https://github.com/LuminosoInsight/python-ftfy,MIT,2012-08-24 16:14:59+00:00,2020-08-21 18:13:12+00:00,2020-07-17 21:21:57+00:00,98.0,12.0,92.0,2858.0,510.0,2020-02-18 16:42:00+00:00,5.6.1,41.0,\"Fixes mojibake and other glitches in Unicode text, after the fact.\",3242.0,2482.0,17.0,25,https://pypi.org/project/ftfy,2020-07-20 21:50:51+00:00,760.0,265287.0,265287.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n297,AutoGluon,awslabs/autogluon,autogluon,,,hyperopt,['mxnet'],https://github.com/awslabs/autogluon,https://github.com/awslabs/autogluon,Apache-2.0,2019-07-29 18:51:24+00:00,2020-12-14 22:27:26+00:00,2020-12-14 07:42:47+00:00,365.0,144.0,213.0,2809.0,441.0,2020-12-08 19:01:22+00:00,0.0.15,265.0,\"AutoGluon: AutoML for Text, Image, and Tabular Data.\",42.0,42.0,50.0,25,https://pypi.org/project/autogluon,2020-12-14 09:14:40+00:00,,9098.0,9098.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n298,Chartify,spotify/chartify,chartify,,,data-viz,,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05+00:00,2020-11-02 22:14:08+00:00,2020-11-02 22:11:04+00:00,242.0,40.0,30.0,2784.0,186.0,2020-11-02 22:14:08+00:00,3.0.3,16.0,Python library that makes it easy for data scientists to create charts.,56.0,51.0,19.0,25,https://pypi.org/project/chartify,2020-11-02 22:14:08+00:00,5.0,10151.0,10151.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n299,nevergrad,facebookresearch/nevergrad,nevergrad,,,hyperopt,,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17+00:00,2020-12-15 18:06:59+00:00,2020-12-15 16:06:27+00:00,265.0,68.0,114.0,2747.0,725.0,2020-08-04 12:13:07+00:00,0.4.2,25.0,A Python toolbox for performing gradient-free optimization.,117.0,103.0,40.0,25,https://pypi.org/project/nevergrad,2020-12-10 15:37:29+00:00,14.0,7360.0,7360.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n300,Stable Baselines,hill-a/stable-baselines,stable-baselines,,,reinforcement-learning,,https://github.com/hill-a/stable-baselines,https://github.com/hill-a/stable-baselines,MIT,2018-07-02 14:28:59+00:00,2020-12-15 18:01:42+00:00,2020-10-12 12:10:17+00:00,537.0,118.0,703.0,2698.0,834.0,2020-08-05 19:45:11+00:00,2.10.1,30.0,\"A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.\",25.0,,109.0,25,https://pypi.org/project/stable-baselines,2020-08-05 19:42:14+00:00,25.0,8458.0,8458.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n301,Sumy,miso-belica/sumy,sumy,,,nlp,,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48+00:00,2020-11-21 17:08:35+00:00,2020-11-21 17:08:33+00:00,431.0,10.0,78.0,2441.0,397.0,2019-05-19 14:39:21+00:00,0.8.1,13.0,Module for automatic summarization of text documents and HTML pages.,799.0,607.0,20.0,25,https://pypi.org/project/sumy,2019-05-19 14:38:29+00:00,192.0,9188.0,9188.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n302,Pony,ponyorm/pony,pony,conda-forge/pony,,db-clients,,https://github.com/ponyorm/pony,https://github.com/ponyorm/pony,Apache-2.0,2013-02-08 04:56:00+00:00,2020-11-23 19:12:54+00:00,2020-11-23 17:42:03+00:00,186.0,235.0,299.0,2396.0,,2020-11-23 19:13:28+00:00,0.7.14,44.0,Pony Object Relational Mapper.,2136.0,1598.0,20.0,25,https://pypi.org/project/pony,2020-11-23 18:56:34+00:00,538.0,24970.0,24970.0,https://anaconda.org/conda-forge/pony,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n303,Neural Network Libraries,sony/nnabla,nnabla,,,ml-frameworks,,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10+00:00,2020-12-11 07:37:11+00:00,2020-12-11 07:37:10+00:00,303.0,35.0,18.0,2387.0,2189.0,2020-12-10 11:43:51+00:00,1.14.0,49.0,Neural Network Libraries.,34.0,,54.0,25,https://pypi.org/project/nnabla,2020-11-04 05:00:37+00:00,34.0,2472.0,2484.0,,,,True,3,506.0,,,,,,,,,,,,,,,,,,,,,,\n304,pyinstrument,joerick/pyinstrument,pyinstrument,,,system-monitoring,,https://github.com/joerick/pyinstrument,https://github.com/joerick/pyinstrument,BSD-3-Clause,2014-03-13 17:53:13+00:00,2020-09-29 15:02:10+00:00,2020-09-22 18:11:09+00:00,89.0,19.0,50.0,2296.0,396.0,2020-08-21 11:12:14+00:00,3.2.0,26.0,Call stack profiler for Python. Shows you why your code is slow!.,331.0,195.0,21.0,25,https://pypi.org/project/pyinstrument,2020-09-09 18:00:59+00:00,136.0,47817.0,47817.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n305,Captum,pytorch/captum,captum,,,interpretability,['pytorch'],https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41+00:00,2020-12-15 12:48:39+00:00,2020-12-15 01:02:25+00:00,188.0,44.0,120.0,1984.0,769.0,2020-11-13 23:52:08+00:00,0.3.0,4.0,Model interpretability and understanding for PyTorch.,92.0,92.0,66.0,25,https://pypi.org/project/captum,2020-11-13 20:23:21+00:00,,7973.0,7973.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n306,polyglot,aboSamoor/polyglot,polyglot,,,nlp,,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,GPL-3.0,2014-06-30 02:07:45+00:00,2020-10-27 10:55:53+00:00,2020-09-22 22:35:28+00:00,292.0,132.0,62.0,1728.0,271.0,2016-07-03 20:05:42+00:00,16.7.4,8.0,Multilingual text (NLP) processing toolkit.,471.0,406.0,26.0,25,https://pypi.org/project/polyglot,2016-07-03 20:05:42+00:00,65.0,49286.0,49286.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,\n307,Jina,jina-ai/jina,jina,,,nlp,,https://github.com/jina-ai/jina,https://github.com/jina-ai/jina,Apache-2.0,2020-02-13 17:04:44+00:00,2020-12-15 17:20:55+00:00,2020-12-15 17:03:50+00:00,294.0,37.0,472.0,1667.0,4160.0,2020-12-14 14:15:05+00:00,0.8.7,95.0,An easier way to build neural search in the cloud.,39.0,39.0,72.0,25,https://pypi.org/project/jina,2020-12-15 15:04:53+00:00,,1227.0,7300.0,,,,True,2,,,,jinaai/jina,https://hub.docker.com/r/jinaai/jina,2020-12-15 15:10:16.797585+00:00,,60731.0,,,,,,,,,,,,,,,\n308,category_encoders,scikit-learn-contrib/category_encoders,category_encoders,,,others,['sklearn'],https://github.com/scikit-learn-contrib/category_encoders,https://github.com/scikit-learn-contrib/category_encoders,BSD-3-Clause,2015-11-29 19:32:37+00:00,2020-11-10 15:17:22+00:00,2020-07-31 10:43:44+00:00,289.0,60.0,133.0,1526.0,671.0,2020-04-29 02:09:51+00:00,2.2.2,19.0,A library of sklearn compatible categorical variable encoders.,23.0,,34.0,25,https://pypi.org/project/category_encoders,2018-10-14 14:15:54+00:00,23.0,404303.0,404303.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n309,Pythran,serge-sans-paille/pythran,pythran,conda-forge/pythran,,others,,https://github.com/serge-sans-paille/pythran,https://github.com/serge-sans-paille/pythran,BSD-3-Clause,2012-05-29 08:02:14+00:00,2020-12-15 13:53:57+00:00,2020-12-15 13:53:37+00:00,134.0,99.0,534.0,1483.0,3295.0,2020-12-09 20:06:55+00:00,0.9.8,44.0,Ahead of Time compiler for numeric kernels.,59.0,46.0,47.0,25,https://pypi.org/project/pythran,2020-12-11 23:02:35+00:00,13.0,1110.0,1110.0,https://anaconda.org/conda-forge/pythran,,,True,2,,,,,,,,,,,,,,,,,,,,,,pythran,python-pythran\n310,swifter,jmcarpenter2/swifter,swifter,,,data-containers,['pandas'],https://github.com/jmcarpenter2/swifter,https://github.com/jmcarpenter2/swifter,MIT,2018-04-07 21:37:19+00:00,2020-10-11 22:49:24+00:00,2020-10-11 22:48:00+00:00,69.0,13.0,76.0,1474.0,422.0,2020-10-11 22:42:57+00:00,1.0.7,71.0,A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner.,279.0,263.0,14.0,25,https://pypi.org/project/swifter,2020-10-11 22:42:57+00:00,16.0,49415.0,49415.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n311,streamparse,Parsely/streamparse,streamparse,,,data-pipelines,,https://github.com/Parsely/streamparse,https://github.com/Parsely/streamparse,Apache-2.0,2014-05-02 20:33:50+00:00,2020-10-07 19:53:33+00:00,2020-10-07 19:37:17+00:00,219.0,69.0,263.0,1420.0,1058.0,2020-10-07 19:53:15+00:00,4.0.0,47.0,\"Run Python in Apache Storm topologies. Pythonic API, CLI tooling, and a topology DSL.\",72.0,46.0,40.0,25,https://pypi.org/project/streamparse,2020-10-07 19:45:19+00:00,26.0,1899.0,1899.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n312,jellyfish,jamesturk/jellyfish,jellyfish,,,nlp,,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,BSD-2-Clause,2010-07-09 20:41:11+00:00,2020-12-08 01:19:02+00:00,2020-12-08 01:18:57+00:00,119.0,9.0,86.0,1373.0,,2020-05-21 20:37:01+00:00,0.8.2,27.0,a python library for doing approximate and phonetic matching of strings.,2547.0,1901.0,19.0,25,https://pypi.org/project/jellyfish,2020-05-21 20:37:01+00:00,646.0,852130.0,852130.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n313,Ax,facebook/Ax,ax-platform,,,hyperopt,['pytorch'],https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44+00:00,2020-12-15 05:54:07+00:00,2020-12-14 20:59:20+00:00,137.0,32.0,169.0,1347.0,878.0,2020-12-08 19:07:48+00:00,0.1.19,20.0,Adaptive Experimentation Platform.,115.0,111.0,87.0,25,https://pypi.org/project/ax-platform,2020-12-08 19:07:48+00:00,4.0,19481.0,19481.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n314,AWS Data Wrangler,awslabs/aws-data-wrangler,awswrangler,,,db-clients,['pandas'],https://github.com/awslabs/aws-data-wrangler,https://github.com/awslabs/aws-data-wrangler,Apache-2.0,2019-02-26 01:39:02+00:00,2020-12-15 17:54:08+00:00,2020-12-12 23:37:50+00:00,208.0,32.0,238.0,1274.0,1161.0,2020-12-11 10:58:40+00:00,2.0.1,102.0,Pandas on AWS.,,,51.0,25,https://pypi.org/project/awswrangler,2020-12-11 10:44:36+00:00,,382149.0,383225.0,,,,True,3,18296.0,,,,,,,,,,,,,,,,,,,,,,\n315,ViZDoom,mwydmuch/ViZDoom,vizdoom,,,reinforcement-learning,,https://github.com/mwydmuch/ViZDoom,https://github.com/mwydmuch/ViZDoom,MIT,2015-06-26 18:38:23+00:00,2020-12-11 23:35:17+00:00,2020-12-11 23:35:16+00:00,276.0,89.0,321.0,1138.0,1458.0,2020-10-29 15:54:47+00:00,1.1.8,19.0,Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information.,106.0,94.0,43.0,25,https://pypi.org/project/vizdoom,2020-10-29 15:56:20+00:00,12.0,531.0,709.0,,,,True,2,10181.0,,,,,,,,,,,,,,,,,,,,,,\n316,ArcGIS API,Esri/arcgis-python-api,arcgis,,,geospatial-data,,https://github.com/Esri/arcgis-python-api,https://github.com/Esri/arcgis-python-api,Apache-2.0,2016-03-16 01:09:14+00:00,2020-12-15 11:35:36+00:00,2020-12-15 00:26:58+00:00,676.0,125.0,184.0,913.0,2855.0,2020-11-30 16:13:47+00:00,1.8.3,24.0,Documentation and samples for ArcGIS API for Python.,10.0,,60.0,25,https://pypi.org/project/arcgis,2020-11-30 16:13:47+00:00,10.0,12466.0,12528.0,,,,True,3,,,,esridocker/arcgis-api-python-notebook,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,2020-03-06 00:53:45.164342+00:00,28.0,3582.0,,,,,,,,,,,,,,,\n317,kmodes,nicodv/kmodes,kmodes,,,others,,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40+00:00,2020-11-04 05:52:59+00:00,2020-11-04 05:52:58+00:00,335.0,19.0,106.0,783.0,448.0,2020-02-25 21:38:29+00:00,0.10.2,12.0,\"Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data.\",385.0,372.0,16.0,25,https://pypi.org/project/kmodes,2020-02-25 21:30:28+00:00,13.0,64218.0,64218.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n318,ktrain,amaiya/ktrain,ktrain,,,ml-frameworks,['keras'],https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39+00:00,2020-12-14 17:30:56+00:00,2020-12-08 19:31:01+00:00,167.0,8.0,270.0,683.0,2113.0,2020-12-05 17:45:32+00:00,0.25.2,145.0,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,107.0,106.0,12.0,25,https://pypi.org/project/ktrain,2020-12-05 17:43:35+00:00,1.0,8292.0,8292.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n319,CLTK,cltk/cltk,cltk,,,nlp,,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47+00:00,2020-12-11 22:29:54+00:00,2020-12-11 22:29:52+00:00,295.0,126.0,357.0,624.0,2771.0,2020-06-22 06:03:33+00:00,0.1.121,159.0,The Classical Language Toolkit.,212.0,144.0,107.0,25,https://pypi.org/project/cltk,2020-12-03 17:29:28+00:00,68.0,1249.0,1249.0,,,,True,2,21.0,,,,,,,,,,,,,,,,,,,,,,\n320,HappyBase,python-happybase/happybase,happybase,conda-forge/happybase,,db-clients,,https://github.com/python-happybase/happybase,https://github.com/python-happybase/happybase,MIT,2012-05-20 20:06:10+00:00,2020-04-09 10:46:31+00:00,2020-04-09 10:46:29+00:00,151.0,27.0,179.0,552.0,283.0,2017-04-03 21:13:18+00:00,1.1.0,11.0,A developer-friendly Python library to interact with Apache HBase.,867.0,445.0,19.0,25,https://pypi.org/project/happybase,2017-04-03 21:13:18+00:00,422.0,64073.0,64073.0,https://anaconda.org/conda-forge/happybase,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n321,TensorFlow I/O,tensorflow/io,tensorflow-io,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05+00:00,2020-12-15 14:28:52+00:00,2020-12-15 02:24:35+00:00,141.0,112.0,258.0,384.0,1308.0,2020-12-15 00:45:37+00:00,0.17.0,21.0,\"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.\",82.0,82.0,69.0,25,https://pypi.org/project/tensorflow-io,2020-12-15 00:42:35+00:00,0.0,33299.0,33299.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n322,hvPlot,holoviz/hvplot,hvplot,,,data-viz,,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41+00:00,2020-12-15 10:41:07+00:00,2020-11-18 20:38:19+00:00,49.0,95.0,214.0,333.0,360.0,2020-06-02 01:53:24+00:00,0.6.0,9.0,\"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.\",407.0,392.0,22.0,25,https://pypi.org/project/hvplot,2020-06-02 00:27:18+00:00,15.0,69422.0,69422.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n323,Altair,ellisonbg/altair,altair,,,data-viz,,https://github.com/ellisonbg/altair,https://github.com/ellisonbg/altair,BSD-3-Clause,2016-09-26 16:59:17+00:00,2020-04-01 13:23:10+00:00,2018-05-18 19:10:50+00:00,19.0,,,243.0,1802.0,2020-04-01 13:23:10+00:00,4.1.0,26.0,Declarative statistical visualization library for Python.,370.0,,50.0,25,https://pypi.org/project/altair,2020-04-01 13:23:10+00:00,370.0,646523.0,646523.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n324,ParlAI,facebookresearch/ParlAI,parlai,,,nlp,['pytorch'],https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44+00:00,2020-12-15 17:01:21+00:00,2020-12-14 17:43:09+00:00,1373.0,111.0,792.0,6819.0,3541.0,2020-10-16 18:05:43+00:00,0.9.4,11.0,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,4.0,4.0,134.0,24,https://pypi.org/project/parlai,2020-10-16 18:04:08+00:00,,653.0,653.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n325,Facets Overview,pair-code/facets,facets-overview,,,data-viz,['jupyter'],https://github.com/PAIR-code/facets,https://github.com/PAIR-code/facets,Apache-2.0,2017-07-07 14:03:03+00:00,2020-10-27 19:51:23+00:00,2020-10-27 19:51:22+00:00,785.0,70.0,75.0,6418.0,259.0,2019-07-24 15:33:29+00:00,0.9.1,4.0,Visualizations for machine learning datasets.,34.0,34.0,27.0,24,https://pypi.org/project/facets-overview,2019-07-24 15:33:29+00:00,,17118.0,17118.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n326,PyText,facebookresearch/pytext,pytext-nlp,,,nlp,['pytorch'],https://github.com/facebookresearch/pytext,https://github.com/facebookresearch/pytext,BSD-3-Clause,2018-07-31 23:40:46+00:00,2020-12-15 17:37:20+00:00,2020-12-15 01:35:18+00:00,754.0,115.0,74.0,6093.0,1324.0,2020-06-08 23:30:58+00:00,0.3.3,12.0,A natural language modeling framework based on PyTorch.,53.0,52.0,143.0,24,https://pypi.org/project/pytext-nlp,2020-04-27 08:09:25+00:00,1.0,327.0,335.0,,,,True,3,201.0,,,,,,,,,,,,,,,,,,,,,,\n327,mmdnn,Microsoft/MMdnn,mmdnn,,,model-serialisation,,https://github.com/microsoft/MMdnn,https://github.com/microsoft/MMdnn,MIT,2017-08-16 08:03:52+00:00,2020-10-22 09:57:53+00:00,2020-08-14 02:32:30+00:00,919.0,306.0,282.0,5115.0,1083.0,2020-07-24 06:34:39+00:00,0.3.1,12.0,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,49.0,46.0,85.0,24,https://pypi.org/project/mmdnn,2020-07-24 06:34:39+00:00,3.0,795.0,882.0,,,,True,2,3249.0,,,,,,,,,,,,,,,,,,,,,,\n328,stanza,stanfordnlp/stanza,stanza,stanfordnlp/stanza,,nlp,,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56+00:00,2020-12-15 13:24:07+00:00,2020-08-13 23:07:54+00:00,618.0,68.0,350.0,4927.0,1514.0,2020-08-13 06:26:20+00:00,1.1.1,9.0,Official Stanford NLP Python Library for Many Human Languages.,2.0,,28.0,24,https://pypi.org/project/stanza,2020-08-13 06:08:07+00:00,2.0,16180.0,16180.0,https://anaconda.org/stanfordnlp/stanza,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n329,PyTorch3D,facebookresearch/pytorch3d,pytorch3d,pytorch3d/pytorch3d,,image,['pytorch'],https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,MIT,2019-10-25 02:23:45+00:00,2020-12-15 00:18:25+00:00,2020-12-15 00:18:19+00:00,454.0,56.0,372.0,4097.0,324.0,2020-11-12 10:28:29+00:00,0.3.0,5.0,PyTorch3D is FAIR's library of reusable components for deep learning with 3D data.,32.0,32.0,49.0,24,https://pypi.org/project/pytorch3d,2020-11-12 10:28:29+00:00,,5210.0,5210.0,https://anaconda.org/pytorch3d/pytorch3d,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n330,Lucid,tensorflow/lucid,lucid,,,interpretability,['tensorflow'],https://github.com/tensorflow/lucid,https://github.com/tensorflow/lucid,Apache-2.0,2018-01-25 17:41:44+00:00,2020-12-14 12:53:11+00:00,2020-11-24 20:56:27+00:00,544.0,67.0,93.0,3997.0,632.0,2019-01-17 19:46:43+00:00,0.3.9-alpha,16.0,A collection of infrastructure and tools for research in neural network interpretability.,351.0,345.0,34.0,24,https://pypi.org/project/lucid,2018-12-20 00:26:11+00:00,6.0,595.0,595.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n331,TensorFlowOnSpark,yahoo/TensorFlowOnSpark,tensorflowonspark,,,distributed-ml,\"['tensorflow', 'spark']\",https://github.com/yahoo/TensorFlowOnSpark,https://github.com/yahoo/TensorFlowOnSpark,Apache-2.0,2017-01-20 18:15:57+00:00,2020-07-27 20:01:38+00:00,2020-07-27 19:59:42+00:00,897.0,5.0,336.0,3598.0,582.0,2020-03-16 18:59:39+00:00,2.2.1,28.0,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,43.0,38.0,33.0,24,https://pypi.org/project/tensorflowonspark,2020-03-16 18:26:55+00:00,5.0,28587.0,28587.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n332,line_profiler,rkern/line_profiler,line_profiler,,,system-monitoring,,https://github.com/rkern/line_profiler,https://github.com/rkern/line_profiler,BSD-3-Clause,2014-08-31 11:45:05+00:00,2019-12-11 01:23:33+00:00,2019-04-23 20:54:43+00:00,245.0,71.0,87.0,3492.0,102.0,2017-12-20 02:30:37+00:00,2.1.2,8.0,(OLD REPO) Line-by-line profiling for Python - Current repo -.,692.0,,14.0,24,https://pypi.org/project/line_profiler,2017-12-20 02:30:37+00:00,692.0,230767.0,230767.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n333,T5,google-research/text-to-text-transfer-transformer,t5,,,nlp,['tensorflow'],https://github.com/google-research/text-to-text-transfer-transformer,https://github.com/google-research/text-to-text-transfer-transformer,Apache-2.0,2019-10-17 21:45:14+00:00,2020-12-15 02:21:33+00:00,2020-12-15 02:21:23+00:00,396.0,32.0,264.0,3044.0,354.0,2020-10-26 14:53:41+00:00,0.7.1,23.0,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,18.0,18.0,28.0,24,https://pypi.org/project/t5,2020-10-26 14:53:41+00:00,,4810.0,4810.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n334,Camelot,atlanhq/camelot,camelot-py,,,data-loading,,https://github.com/atlanhq/camelot,https://github.com/atlanhq/camelot,MIT,2016-06-18 11:48:49+00:00,2020-07-27 12:28:15+00:00,2019-10-15 05:25:40+00:00,298.0,61.0,273.0,2949.0,446.0,2020-07-27 12:28:15+00:00,0.8.2,21.0,Camelot: PDF Table Extraction for Humans.,10.0,,23.0,24,https://pypi.org/project/camelot-py,2020-07-27 12:28:15+00:00,10.0,24624.0,24624.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n335,TensorForce,tensorforce/tensorforce,tensorforce,,,reinforcement-learning,['tensorflow'],https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22+00:00,2020-12-06 18:31:38+00:00,2020-12-06 18:31:30+00:00,472.0,10.0,535.0,2815.0,2008.0,2020-10-03 16:00:39+00:00,0.6.2,12.0,Tensorforce: a TensorFlow library for applied reinforcement learning.,23.0,,76.0,24,https://pypi.org/project/tensorforce,2019-09-07 13:56:18+00:00,23.0,945.0,945.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n336,xLearn,aksnzhy/xlearn,xlearn,,,ml-frameworks,,https://github.com/aksnzhy/xlearn,https://github.com/aksnzhy/xlearn,Apache-2.0,2017-06-10 08:09:31+00:00,2020-07-06 19:54:25+00:00,2020-03-03 10:12:35+00:00,479.0,174.0,107.0,2803.0,1340.0,2019-04-25 02:10:05+00:00,0.4.4,15.0,\"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..\",39.0,38.0,30.0,24,https://pypi.org/project/xlearn,2018-12-04 11:05:06+00:00,1.0,10268.0,10333.0,,,,True,3,2165.0,,,,,,,,,,,,,,,,,,,,,,\n337,pytorch-summary,sksq96/pytorch-summary,torchsummary,,,pytorch-utils,['pytorch'],https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04+00:00,2020-09-11 22:33:42+00:00,2020-08-07 01:16:40+00:00,334.0,100.0,36.0,2803.0,56.0,2018-09-26 05:07:28+00:00,1.5.1,12.0,Model summary in PyTorch similar to `model.summary()` in Keras.,1735.0,1617.0,11.0,24,https://pypi.org/project/torchsummary,2018-09-26 05:07:28+00:00,118.0,28308.0,28308.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n338,DeepChem,deepchem/deepchem,deepchem,,,others,['tensorflow'],https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28+00:00,2020-12-15 17:46:27+00:00,2020-12-15 16:12:58+00:00,873.0,321.0,835.0,2585.0,5935.0,2019-10-11 01:49:20+00:00,2.3.0,184.0,\"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.\",36.0,32.0,143.0,24,https://pypi.org/project/deepchem,2020-11-19 05:39:10+00:00,4.0,2004.0,2004.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n339,DoWhy,Microsoft/dowhy,dowhy,conda-forge/dowhy,,interpretability,,https://github.com/microsoft/dowhy,https://github.com/microsoft/dowhy,MIT,2018-05-31 13:07:04+00:00,2020-12-13 08:20:31+00:00,2020-12-13 08:20:30+00:00,353.0,13.0,76.0,2528.0,404.0,2020-12-12 15:26:03+00:00,0.5.1,5.0,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,18.0,18.0,37.0,24,https://pypi.org/project/dowhy,2020-12-12 15:26:03+00:00,,7701.0,7702.0,https://anaconda.org/conda-forge/dowhy,,,True,2,17.0,,,,,,,,,,,,,,,,,,,,,,\n340,Arctic,man-group/arctic,arctic,,,data-containers,,https://github.com/man-group/arctic,https://github.com/man-group/arctic,LGPL-2.1,2015-05-29 13:37:30+00:00,2020-12-02 16:19:11+00:00,2020-12-02 16:19:07+00:00,428.0,84.0,420.0,2110.0,1065.0,2020-12-01 23:17:26+00:00,1.79.4,83.0,Arctic is a high performance datastore for numeric data.,143.0,101.0,69.0,24,https://pypi.org/project/arctic,2020-12-01 23:16:12+00:00,42.0,2796.0,2797.0,,,,False,3,83.0,,,,,,,,,,,,,,,,,,,,,,\n341,TextDistance,life4/textdistance,textdistance,,,nlp,,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10+00:00,2020-04-13 10:34:33+00:00,2020-04-13 10:34:26+00:00,155.0,9.0,,1835.0,289.0,2020-04-13 10:17:59+00:00,.4.2.0,20.0,\"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..\",292.0,264.0,7.0,24,https://pypi.org/project/textdistance,2020-04-13 09:59:27+00:00,28.0,103512.0,103514.0,,,,True,3,96.0,,,,,,,,,,,,,,,,,,,,,,\n342,mongo-connector,yougov/mongo-connector,mongo-connector,,,db-clients,,https://github.com/yougov/mongo-connector,https://github.com/yougov/mongo-connector,Apache-2.0,2012-08-09 23:39:36+00:00,2020-08-03 08:07:40+00:00,2018-12-05 18:23:06+00:00,454.0,226.0,504.0,1750.0,1112.0,2018-12-05 19:18:21+00:00,3.1.1,51.0,MongoDB data stream pipeline tools by YouGov (adopted from MongoDB).,119.0,90.0,62.0,24,https://pypi.org/project/mongo-connector,2018-12-05 19:18:21+00:00,29.0,2757.0,2757.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n343,StellarGraph,stellargraph/stellargraph,stellargraph,,,graph,['keras'],https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51+00:00,2020-09-28 06:38:11+00:00,2020-07-21 04:03:09+00:00,243.0,211.0,693.0,1676.0,2515.0,2020-06-30 05:15:21+00:00,1.2.1,25.0,StellarGraph - Machine Learning on Graphs.,40.0,38.0,28.0,24,https://pypi.org/project/stellargraph,2020-06-25 09:38:56+00:00,2.0,9790.0,9790.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n344,pgmpy,pgmpy/pgmpy,pgmpy,,,probabilistics,,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58+00:00,2020-12-12 22:04:27+00:00,2020-12-12 22:04:27+00:00,538.0,225.0,484.0,1647.0,6.0,2020-09-30 14:12:15+00:00,0.1.12,10.0,Python Library for learning (Structure and Parameter) and inference (Statistical and Causal) in Bayesian Networks.,173.0,167.0,87.0,24,https://pypi.org/project/pgmpy,2020-06-30 12:59:43+00:00,6.0,16822.0,16827.0,,,,True,3,32.0,,,,,,,,,,,,,,,,,,,,,,\n345,Alphalens,quantopian/alphalens,alphalens,,,financial-data,,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15+00:00,2020-09-05 16:48:14+00:00,2020-04-27 18:40:41+00:00,598.0,38.0,144.0,1645.0,522.0,2020-04-30 15:42:52+00:00,0.4.0,10.0,Performance analysis of predictive (alpha) stock factors.,350.0,336.0,25.0,24,https://pypi.org/project/alphalens,2020-04-27 21:03:10+00:00,14.0,1511.0,1511.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n346,HyperTools,ContextLab/hypertools,hypertools,,,data-viz,,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25+00:00,2020-10-29 02:47:18+00:00,2020-10-02 21:09:56+00:00,151.0,69.0,120.0,1601.0,1565.0,2020-10-02 21:38:16+00:00,0.6.3,19.0,A Python toolbox for gaining geometric insights into high-dimensional data.,99.0,90.0,20.0,24,https://pypi.org/project/hypertools,2020-10-02 21:41:53+00:00,9.0,809.0,809.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n347,TorchServe,pytorch/serve,torchserve,torchserve,,model-serialisation,['pytorch'],https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43+00:00,2020-12-15 18:44:32+00:00,2020-12-15 18:17:31+00:00,208.0,134.0,365.0,1440.0,1020.0,2020-12-14 18:34:28+00:00,0.2.2,5.0,Model Serving on PyTorch.,22.0,22.0,61.0,24,https://pypi.org/project/torchserve,2020-12-14 18:34:28+00:00,,1624.0,2645.0,,,,True,2,129.0,,,pytorch/torchserve,https://hub.docker.com/r/pytorch/torchserve,2020-08-11 21:27:29.340543+00:00,3.0,14080.0,,,,,,,,,,,,,,,\n348,Elephas,maxpumperla/elephas,elephas,,,distributed-ml,\"['keras', 'spark']\",https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19+00:00,2020-10-02 08:09:20+00:00,2020-10-02 08:09:15+00:00,279.0,51.0,80.0,1432.0,336.0,2019-03-20 17:02:37+00:00,0.4.3,9.0,Distributed Deep learning with Keras & Spark.,36.0,33.0,25.0,24,https://pypi.org/project/elephas,2020-02-10 13:38:21+00:00,3.0,11612.0,11612.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n349,PyTextRank,DerwenAI/pytextrank,pytextrank,,,nlp,,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12+00:00,2020-11-18 14:09:32+00:00,2020-09-21 19:22:46+00:00,280.0,15.0,37.0,1365.0,147.0,2020-09-15 16:51:59+00:00,2.0.3,10.0,Python implementation of TextRank for phrase extraction and summarization of text documents.,123.0,117.0,10.0,24,https://pypi.org/project/pytextrank,2020-09-15 16:51:59+00:00,6.0,11799.0,11799.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n350,TFX,tensorflow/tfx,tfx,,,data-pipelines,['tensorflow'],https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36+00:00,2020-12-15 18:48:54+00:00,2020-12-15 17:59:47+00:00,364.0,200.0,300.0,1261.0,2939.0,2020-11-19 20:19:41+00:00,0.25.0,36.0,TFX is an end-to-end platform for deploying production ML pipelines.,2.0,,94.0,24,https://pypi.org/project/tfx,2020-11-19 21:33:15+00:00,2.0,44237.0,44237.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n351,Fairness 360,Trusted-AI/AIF360,aif360,,,interpretability,,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15+00:00,2020-11-23 20:50:06+00:00,2020-10-28 02:10:25+00:00,375.0,35.0,46.0,1161.0,288.0,2020-06-02 22:59:53+00:00,0.3.0,8.0,\"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..\",61.0,59.0,40.0,24,https://pypi.org/project/aif360,2020-06-02 22:49:24+00:00,2.0,3831.0,3831.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n352,IB-insync,erdewit/ib_insync,ib_insync,,,financial-data,,https://github.com/erdewit/ib_insync,https://github.com/erdewit/ib_insync,BSD-2-Clause,2017-07-12 12:09:24+00:00,2020-12-13 10:15:17+00:00,2020-12-13 10:15:02+00:00,369.0,3.0,273.0,1138.0,544.0,2020-11-03 13:37:57+00:00,0.9.64,89.0,Python sync/async framework for Interactive Brokers API.,12.0,,25.0,24,https://pypi.org/project/ib_insync,2020-11-03 13:37:57+00:00,12.0,3231.0,3231.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n353,TextAttack,QData/TextAttack,textattack,,,adversarial,,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44+00:00,2020-12-15 11:59:35+00:00,2020-12-15 04:44:30+00:00,116.0,23.0,64.0,1130.0,1857.0,2020-11-18 15:41:35+00:00,0.2.14,34.0,\"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP.\",11.0,11.0,29.0,24,https://pypi.org/project/textattack,2020-11-18 02:29:52+00:00,,1419.0,1419.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n354,Optimus,ironmussa/Optimus,optimuspyspark,,,data-pipelines,['spark'],https://github.com/ironmussa/Optimus,https://github.com/ironmussa/Optimus,Apache-2.0,2017-07-13 02:31:18+00:00,2020-12-15 17:48:50+00:00,2020-11-19 14:04:43+00:00,188.0,139.0,165.0,962.0,3520.0,2020-07-19 03:05:40+00:00,2.2.32,85.0,\"Agile Data Preparation Workflows madeeasy with dask, cudf, dask_cudf and pyspark.\",11.0,11.0,21.0,24,https://pypi.org/project/optimuspyspark,2019-05-30 02:22:54+00:00,,5908.0,5908.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n355,Streamz,python-streamz/streamz,streamz,,,time-series-data,,https://github.com/python-streamz/streamz,https://github.com/python-streamz/streamz,BSD-3-Clause,2017-04-04 21:45:49+00:00,2020-12-10 21:50:53+00:00,2020-12-10 21:02:45+00:00,110.0,89.0,125.0,891.0,723.0,2020-11-02 14:53:29+00:00,0.6.1,14.0,Real-time stream processing for python.,192.0,176.0,38.0,24,https://pypi.org/project/streamz,2020-11-02 14:53:29+00:00,16.0,3707.0,3707.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n356,PySAL,pysal/pysal,pysal,,,geospatial-data,,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42+00:00,2020-08-01 00:57:58+00:00,2020-08-01 00:57:56+00:00,241.0,58.0,568.0,800.0,4067.0,2020-07-30 03:12:31+00:00,2.3.0,24.0,PySAL: Python Spatial Analysis Library Meta-Package.,18.0,,69.0,24,https://pypi.org/project/pysal,2020-07-30 03:12:31+00:00,18.0,10281.0,10281.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n357,SciSpacy,allenai/scispacy,scispacy,,,nlp,,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52+00:00,2020-11-23 14:08:16+00:00,2020-11-10 19:32:41+00:00,114.0,17.0,121.0,756.0,786.0,2020-10-16 17:13:40+00:00,0.3.0,9.0,A full spaCy pipeline and models for scientific/biomedical documents.,195.0,183.0,14.0,24,https://pypi.org/project/scispacy,2020-10-16 17:13:40+00:00,12.0,11890.0,11890.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n358,ffn,pmorissette/ffn,ffn,,,financial-data,,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09+00:00,2020-12-15 04:18:54+00:00,2020-11-16 23:41:57+00:00,168.0,20.0,52.0,717.0,283.0,2018-05-28 14:01:56+00:00,0.3.4,25.0,ffn - a financial function library for Python.,110.0,94.0,22.0,24,https://pypi.org/project/ffn,2018-05-28 14:01:56+00:00,16.0,11160.0,11160.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n359,GPyOpt,SheffieldML/GPyOpt,gpyopt,,,hyperopt,,https://github.com/SheffieldML/GPyOpt,https://github.com/SheffieldML/GPyOpt,BSD-3-Clause,2014-08-13 09:58:25+00:00,2020-11-17 10:32:02+00:00,2020-11-05 15:16:04+00:00,213.0,100.0,186.0,697.0,514.0,2020-03-19 21:21:18+00:00,1.2.6,11.0,Gaussian Process Optimization using GPy.,196.0,160.0,49.0,24,https://pypi.org/project/gpyopt,2020-03-19 11:37:45+00:00,36.0,5632.0,5632.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n360,Hail,hail-is/hail,hail,,,medical-data,['spark'],https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42+00:00,2020-12-15 18:13:00+00:00,2020-12-14 18:59:44+00:00,178.0,323.0,1933.0,687.0,7617.0,2020-12-03 19:29:37+00:00,0.2.61,81.0,Scalable genomic data analysis.,24.0,24.0,67.0,24,https://pypi.org/project/hail,2020-12-03 19:29:37+00:00,,1533.0,1533.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n361,pythreejs,jupyter-widgets/pythreejs,pythreejs,,,data-viz,['jupyter'],https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,BSD-3-Clause,2013-12-23 17:02:11+00:00,2020-12-08 14:18:43+00:00,2020-10-09 09:41:09+00:00,156.0,56.0,136.0,686.0,1594.0,2020-03-19 11:32:37+00:00,2.2.1,42.0,A Jupyter - Three.js bridge.,36.0,15.0,24.0,24,https://pypi.org/project/pythreejs,2020-10-09 09:40:47+00:00,13.0,8100.0,13171.0,,,,True,3,,,,,,,,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,2020-03-19 11:22:13.041000+00:00,8.0,5071.0,,,,,,,,,,\n362,PennyLane,PennyLaneAI/PennyLane,pennylane,,,others,,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42+00:00,2020-12-15 17:47:19+00:00,2020-12-11 11:28:45+00:00,194.0,50.0,214.0,663.0,1724.0,2020-12-08 23:55:57+00:00,0.13.0-post1,17.0,PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum..,20.0,,36.0,24,https://pypi.org/project/pennylane,2020-11-27 18:07:34+00:00,20.0,2477.0,2479.0,,,,True,2,52.0,,,,,,,,,,,,,,,,,,,,,,\n363,arch,bashtage/arch,arch,,,financial-data,,https://github.com/bashtage/arch,https://github.com/bashtage/arch,NCSA,2014-08-29 15:41:28+00:00,2020-12-15 18:27:16+00:00,2020-12-15 18:24:26+00:00,149.0,14.0,119.0,616.0,714.0,2020-06-24 19:19:12+00:00,4.15,26.0,ARCH models in Python.,242.0,221.0,26.0,24,https://pypi.org/project/arch,2020-06-24 19:20:21+00:00,21.0,80819.0,80819.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,\n364,pyjanitor,ericmjl/pyjanitor,pyjanitor,,,others,,https://github.com/ericmjl/pyjanitor,https://github.com/ericmjl/pyjanitor,MIT,2018-03-04 22:43:33+00:00,2020-12-13 01:54:59+00:00,2020-12-12 17:04:05+00:00,119.0,87.0,277.0,600.0,1162.0,2020-10-03 12:24:35+00:00,0.20.10,46.0,Clean APIs for data cleaning. Python implementation of R package Janitor.,72.0,70.0,87.0,24,https://pypi.org/project/pyjanitor,2020-10-03 12:24:35+00:00,2.0,1719.0,1719.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n365,neo4j-driver,neo4j/neo4j-python-driver,neo4j-driver,,,db-clients,,https://github.com/neo4j/neo4j-python-driver,https://github.com/neo4j/neo4j-python-driver,Apache-2.0,2015-05-05 13:08:20+00:00,2020-12-10 08:21:11+00:00,2020-12-10 08:19:46+00:00,131.0,1.0,167.0,582.0,,2020-11-17 09:58:48+00:00,4.2.0,79.0,Neo4j Bolt driver for Python.,382.0,,26.0,24,https://pypi.org/project/neo4j-driver,2020-11-17 09:58:48+00:00,382.0,63522.0,63522.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n366,Intake,intake/intake,intake,,,data-loading,,https://github.com/intake/intake,https://github.com/intake/intake,BSD-2-Clause,2017-08-14 20:44:22+00:00,2020-12-09 15:10:55+00:00,2020-12-09 15:10:54+00:00,89.0,65.0,188.0,502.0,1604.0,2020-06-03 19:03:40+00:00,0.6.0,19.0,\"Intake is a lightweight package for finding, investigating, loading and disseminating data.\",282.0,208.0,50.0,24,https://pypi.org/project/intake,2020-06-03 19:03:40+00:00,74.0,2923.0,2923.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n367,detectron2,facebookresearch/detectron2,,,,image,['pytorch'],https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20+00:00,2020-12-15 00:27:05+00:00,2020-12-15 00:26:57+00:00,3451.0,84.0,2010.0,14044.0,875.0,2020-11-06 03:20:56+00:00,0.3,7.0,Detectron2 is FAIR's next-generation platform for object detection and segmentation.,132.0,132.0,138.0,23,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n368,Ciphey,Ciphey/Ciphey,ciphey,,,nlp,,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39+00:00,2020-12-15 08:11:20+00:00,2020-12-07 03:11:45+00:00,327.0,45.0,168.0,5846.0,1712.0,2020-12-02 12:36:44+00:00,5.11.0,43.0,\"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.\",,,38.0,23,https://pypi.org/project/ciphey,2020-12-02 12:36:44+00:00,,2738.0,3143.0,,,,True,3,,,,remnux/ciphey,https://hub.docker.com/r/remnux/ciphey,2020-12-09 16:12:35.894652+00:00,1.0,6888.0,,,,,,,,,,,,,,,\n369,flashtext,vi3k6i5/flashtext,flashtext,,,nlp,,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01+00:00,2020-06-05 00:37:46+00:00,2020-05-03 07:13:22+00:00,521.0,48.0,48.0,4581.0,108.0,,,18.0,Extract Keywords from sentence or Replace keywords in sentences.,348.0,316.0,8.0,23,https://pypi.org/project/flashtext,2018-02-16 05:24:17+00:00,32.0,253173.0,253173.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n370,DeepSpeed,microsoft/DeepSpeed,deepspeed,,,distributed-ml,['pytorch'],https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,MIT,2020-01-23 18:35:18+00:00,2020-12-15 04:28:51+00:00,2020-12-14 22:24:58+00:00,342.0,78.0,136.0,3824.0,371.0,2020-11-25 23:20:56+00:00,0.3.8,16.0,\"DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.\",4.0,4.0,34.0,23,https://pypi.org/project/deepspeed,2020-12-09 17:12:01+00:00,,1373.0,1959.0,,,,True,3,,,,deepspeed/deepspeed,https://hub.docker.com/r/deepspeed/deepspeed,2020-11-20 00:17:12.819964+00:00,2.0,6447.0,,,,,,,,,,,,,,,\n371,InterpretML,interpretml/interpret,interpret,,,interpretability,['jupyter'],https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52+00:00,2020-12-09 20:02:18+00:00,2020-12-07 10:11:27+00:00,409.0,50.0,107.0,3327.0,1403.0,2020-10-20 01:41:37+00:00,0.2.2,32.0,Fit interpretable models. Explain blackbox machine learning.,60.0,58.0,21.0,23,https://pypi.org/project/interpret,2020-10-20 01:35:45+00:00,2.0,,,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n372,torchdiffeq,rtqichen/torchdiffeq,torchdiffeq,,,pytorch-utils,['pytorch'],https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25+00:00,2020-12-10 14:53:29+00:00,2020-10-30 23:58:55+00:00,550.0,19.0,94.0,3265.0,132.0,2020-09-16 23:32:05+00:00,0.1.1,3.0,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,51.0,51.0,19.0,23,https://pypi.org/project/torchdiffeq,2020-09-16 23:32:05+00:00,,2112.0,2112.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n373,Great Expectations,great-expectations/great_expectations,great_expectations,,,data-pipelines,,https://github.com/great-expectations/great_expectations,https://github.com/great-expectations/great_expectations,Apache-2.0,2017-09-11 00:18:46+00:00,2020-12-15 18:46:49+00:00,2020-12-15 02:53:33+00:00,361.0,142.0,576.0,3259.0,,2020-12-15 02:59:14+00:00,0.13.3,93.0,Always know what to expect from your data.,6.0,,136.0,23,https://pypi.org/project/great_expectations,2020-12-08 21:04:05+00:00,6.0,307276.0,307276.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n374,VisualDL,PaddlePaddle/VisualDL,visualdl,,,ml-experiments,['paddle'],https://github.com/PaddlePaddle/VisualDL,https://github.com/PaddlePaddle/VisualDL,Apache-2.0,2017-12-20 12:34:31+00:00,2020-12-15 12:50:58+00:00,2020-12-14 09:54:31+00:00,424.0,19.0,306.0,3022.0,,2020-11-26 10:19:27+00:00,2.0.5,29.0,Deep Learning Visualization Toolkit.,119.0,114.0,24.0,23,https://pypi.org/project/visualdl,2020-11-26 10:16:06+00:00,5.0,3541.0,3549.0,,,,True,3,50.0,,,,,,,,,,,,,,,,,,,,,,\n375,keras-vis,raghakot/keras-vis,keras-vis,,,interpretability,,https://github.com/raghakot/keras-vis,https://github.com/raghakot/keras-vis,MIT,2016-11-11 23:27:34+00:00,2020-04-20 01:03:13+00:00,2020-04-20 01:03:12+00:00,560.0,110.0,99.0,2759.0,195.0,2017-07-06 04:55:04+00:00,0.4.1,11.0,Neural network visualization toolkit for keras.,623.0,595.0,10.0,23,https://pypi.org/project/keras-vis,2017-07-06 04:55:04+00:00,28.0,2838.0,2838.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n376,gallery-dl,mikf/gallery-dl,gallery-dl,,,web-scraping,,https://github.com/mikf/gallery-dl,https://github.com/mikf/gallery-dl,GPL-2.0,2014-10-12 19:38:05+00:00,2020-12-12 22:08:43+00:00,2020-12-12 22:08:25+00:00,215.0,204.0,883.0,2658.0,2752.0,2020-12-12 22:24:39+00:00,1.16.0,87.0,Command-line program to download image galleries and collections from several image hosting sites.,4.0,,27.0,23,https://pypi.org/project/gallery-dl,2020-11-27 17:38:00+00:00,4.0,4270.0,5503.0,,,,False,3,75223.0,,,,,,,,,,,,,,,,,,,,,,\n377,PML,KevinMusgrave/pytorch-metric-learning,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,pytorch-utils,['pytorch'],https://github.com/KevinMusgrave/pytorch-metric-learning,https://github.com/KevinMusgrave/pytorch-metric-learning,MIT,2019-10-23 17:20:35+00:00,2020-12-14 17:11:02+00:00,2020-12-11 18:33:07+00:00,342.0,30.0,164.0,2495.0,526.0,2020-12-11 05:13:08+00:00,0.9.95,135.0,\"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.\",39.0,39.0,11.0,23,https://pypi.org/project/pytorch-metric-learning,2019-12-27 11:28:11+00:00,0.0,4738.0,4738.0,https://anaconda.org/metric-learning/pytorch-metric-learning,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n378,WikiExtractor,attardi/wikiextractor,wikiextractor,,,web-scraping,,https://github.com/attardi/wikiextractor,https://github.com/attardi/wikiextractor,AGPL-3.0,2015-03-22 12:03:01+00:00,2020-12-15 11:34:27+00:00,2020-12-05 19:37:12+00:00,719.0,81.0,101.0,2469.0,214.0,2020-12-05 19:18:56+00:00,3.0.4,3.0,A tool for extracting plain text from Wikipedia dumps.,38.0,34.0,29.0,23,https://pypi.org/project/wikiextractor,2020-12-05 19:18:56+00:00,4.0,2030.0,2030.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n379,scikit-plot,reiinakano/scikit-plot,scikit-plot,,,interpretability,['sklearn'],https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59+00:00,2020-07-22 16:19:25+00:00,2018-08-19 12:37:47+00:00,237.0,21.0,38.0,1968.0,130.0,2018-08-19 12:21:01+00:00,0.3.7,27.0,An intuitive library to add plotting functionality to scikit-learn objects.,665.0,638.0,13.0,23,https://pypi.org/project/scikit-plot,2018-08-19 12:18:46+00:00,27.0,56002.0,56002.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,\n380,einops,arogozhnikov/einops,einops,,,ml-frameworks,,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08+00:00,2020-11-21 03:15:40+00:00,2020-11-14 04:18:36+00:00,60.0,22.0,36.0,1920.0,290.0,2020-09-08 08:33:29+00:00,0.3,3.0,\"Deep learning operations reinvented (for pytorch, tensorflow, chainer, gluon and others).\",143.0,133.0,10.0,23,https://pypi.org/project/einops,2020-09-08 08:21:26+00:00,10.0,10350.0,10350.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n381,ART,Trusted-AI/adversarial-robustness-toolbox,adversarial-robustness-toolbox,,,adversarial,,https://github.com/Trusted-AI/adversarial-robustness-toolbox,https://github.com/Trusted-AI/adversarial-robustness-toolbox,MIT,2018-03-15 14:40:43+00:00,2020-12-15 18:23:20+00:00,2020-12-10 21:58:50+00:00,548.0,51.0,316.0,1894.0,,2020-12-01 01:59:38+00:00,1.5.0,26.0,\"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..\",91.0,91.0,58.0,23,https://pypi.org/project/adversarial-robustness-toolbox,2020-12-01 01:03:21+00:00,,2705.0,2705.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n382,SRU,asappresearch/sru,sru,,,pytorch-utils,['pytorch'],https://github.com/asappresearch/sru,https://github.com/asappresearch/sru,MIT,2017-08-28 20:37:41+00:00,2020-12-15 15:11:16+00:00,2020-12-08 15:36:42+00:00,278.0,47.0,53.0,1854.0,365.0,2020-10-12 15:29:33+00:00,2.5.1,20.0,Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755).,16.0,15.0,20.0,23,https://pypi.org/project/sru,2020-10-12 15:29:33+00:00,1.0,3186.0,3186.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n383,pytorch-nlp,PetrochukM/PyTorch-NLP,pytorch-nlp,,,nlp,['pytorch'],https://github.com/PetrochukM/PyTorch-NLP,https://github.com/PetrochukM/PyTorch-NLP,BSD-3-Clause,2018-02-25 05:00:36+00:00,2020-10-11 02:41:30+00:00,2020-10-11 02:41:24+00:00,223.0,14.0,49.0,1840.0,442.0,2019-11-04 05:16:00+00:00,0.5.0,19.0,Basic Utilities for PyTorch Natural Language Processing (NLP).,175.0,157.0,17.0,23,https://pypi.org/project/pytorch-nlp,2019-11-04 04:35:18+00:00,18.0,4258.0,4258.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n384,Acme,deepmind/acme,dm-acme,,,reinforcement-learning,['tensorflow'],https://github.com/deepmind/acme,https://github.com/deepmind/acme,Apache-2.0,2020-05-01 09:18:12+00:00,2020-12-10 23:11:20+00:00,2020-12-10 23:10:39+00:00,174.0,37.0,43.0,1821.0,316.0,2020-10-23 15:59:12+00:00,0.2.0,8.0,A library of reinforcement learning components and agents.,16.0,16.0,29.0,23,https://pypi.org/project/dm-acme,2020-07-24 13:03:30+00:00,,581.0,581.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n385,Essentia,MTG/essentia,essentia,,,audio,,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47+00:00,2020-12-15 18:41:18+00:00,2020-12-15 18:40:00+00:00,388.0,278.0,557.0,1679.0,2682.0,2015-03-31 16:33:30+00:00,2.0,8.0,\"C++ library for audio and music analysis, description and synthesis, including Python bindings.\",143.0,138.0,67.0,23,https://pypi.org/project/essentia,2020-04-22 16:31:02+00:00,5.0,1407.0,1407.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n386,DDSP,magenta/ddsp,ddsp,,,audio,['tensorflow'],https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27+00:00,2020-12-14 22:03:44+00:00,2020-12-14 22:03:33+00:00,155.0,16.0,81.0,1667.0,330.0,2020-11-11 21:25:25+00:00,0.13.0,25.0,DDSP: Differentiable Digital Signal Processing.,5.0,5.0,21.0,23,https://pypi.org/project/ddsp,2020-08-21 20:19:47+00:00,,1696.0,1696.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n387,GluonTS,awslabs/gluon-ts,gluonts,,,time-series-data,['mxnet'],https://github.com/awslabs/gluon-ts,https://github.com/awslabs/gluon-ts,Apache-2.0,2019-05-15 17:17:29+00:00,2020-12-15 07:37:00+00:00,2020-12-15 01:01:54+00:00,342.0,180.0,333.0,1609.0,612.0,2020-12-08 15:07:54+00:00,0.6.4,27.0,Probabilistic time series modeling in Python.,,,63.0,23,https://pypi.org/project/gluonts,2020-12-08 15:07:54+00:00,,22398.0,22398.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n388,Spektral,danielegrattarola/spektral,spektral,,,graph,\"['keras', 'tensorflow']\",https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10+00:00,2020-12-15 18:01:36+00:00,2020-12-15 18:00:24+00:00,174.0,20.0,86.0,1545.0,406.0,2020-12-10 21:12:38+00:00,1.0.3,26.0,Graph Neural Networks with Keras and Tensorflow 2.,25.0,25.0,15.0,23,https://pypi.org/project/spektral,2020-12-10 21:12:38+00:00,,3520.0,3520.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n389,Pillow-SIMD,uploadcare/pillow-simd,pillow-simd,,,image,,https://github.com/uploadcare/pillow-simd,https://github.com/uploadcare/pillow-simd,PIL,2014-11-12 15:33:02+00:00,2020-11-03 07:45:01+00:00,2020-06-02 14:50:14+00:00,66.0,11.0,52.0,1511.0,,2020-01-02 05:19:26+00:00,7.0.0,35.0,The friendly PIL fork.,396.0,346.0,310.0,23,https://pypi.org/project/pillow-simd,2020-01-26 14:30:27+00:00,50.0,36635.0,36635.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n390,bonobo,python-bonobo/bonobo,bonobo,,http://docs.bonobo-project.org/en/master/,data-pipelines,,https://github.com/python-bonobo/bonobo,https://github.com/python-bonobo/bonobo,Apache-2.0,2016-12-09 04:03:23+00:00,2020-12-11 07:33:03+00:00,2019-07-20 13:19:49+00:00,111.0,62.0,106.0,1355.0,978.0,2019-05-16 13:19:48+00:00,0.6.4,38.0,Extract Transform Load for Python 3.5+.,126.0,102.0,35.0,23,https://pypi.org/project/bonobo,2019-07-20 13:33:19+00:00,24.0,2797.0,2797.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n391,Talos,autonomio/talos,talos,,,hyperopt,['keras'],https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41+00:00,2020-11-21 16:37:14+00:00,2020-11-21 16:27:04+00:00,220.0,41.0,342.0,1343.0,538.0,2020-11-09 16:48:30+00:00,1.0,13.0,\"Hyperparameter Optimization for TensorFlow, Keras and PyTorch.\",107.0,101.0,19.0,23,https://pypi.org/project/talos,2020-11-09 16:46:45+00:00,6.0,1286.0,1286.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n392,Pandaral·lel,nalepae/pandarallel,pandarallel,,,data-containers,\"['pandas', 'jupyter']\",https://github.com/nalepae/pandarallel,https://github.com/nalepae/pandarallel,BSD-3-Clause,2019-03-10 11:58:29+00:00,2020-12-13 16:58:58+00:00,2020-12-13 16:58:57+00:00,86.0,55.0,52.0,1290.0,108.0,2020-08-25 16:33:28+00:00,1.5.1,28.0,A simple and efficient tool to parallelize Pandas operations on all availableCPUs.,126.0,126.0,12.0,23,https://pypi.org/project/pandarallel,2020-08-25 16:33:28+00:00,,48012.0,48012.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n393,TNT,pytorch/tnt,torchnet,,,ml-experiments,['pytorch'],https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58+00:00,2020-01-15 16:00:31+00:00,2020-01-15 16:00:30+00:00,176.0,30.0,34.0,1257.0,155.0,2019-11-15 12:57:59+00:00,0.0.5.1,3.0,\"Simple tools for logging and visualizing, loading and training.\",540.0,490.0,34.0,23,https://pypi.org/project/torchnet,2018-07-29 23:16:03+00:00,50.0,7473.0,7473.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n394,hnswlib,nmslib/hnswlib,hnswlib,,,nn-search,,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46+00:00,2020-12-14 05:10:44+00:00,2020-08-18 21:30:59+00:00,222.0,72.0,102.0,1245.0,195.0,2020-07-13 04:50:55+00:00,0.4.0,3.0,Header-only C++/python library for fast approximate nearest neighbors.,2.0,,32.0,23,https://pypi.org/project/hnswlib,2020-07-13 04:50:55+00:00,2.0,9600.0,9600.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n395,MLBox,AxeldeRomblay/MLBox,mlbox,,,hyperopt,,https://github.com/AxeldeRomblay/MLBox,https://github.com/AxeldeRomblay/MLBox,BSD-1-Clause,2017-06-01 16:59:24+00:00,2020-11-24 17:57:08+00:00,2020-08-25 09:26:27+00:00,238.0,9.0,71.0,1158.0,1121.0,2020-08-25 09:32:37+00:00,0.8.5,21.0,MLBox is a powerful Automated Machine Learning python library.,18.0,18.0,9.0,23,https://pypi.org/project/mlbox,2020-08-25 09:32:37+00:00,,6373.0,6373.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n396,metric-learn,scikit-learn-contrib/metric-learn,metric-learn,,,others,['sklearn'],https://github.com/scikit-learn-contrib/metric-learn,https://github.com/scikit-learn-contrib/metric-learn,MIT,2013-11-02 08:29:47+00:00,2020-08-04 01:35:49+00:00,2020-08-04 01:35:39+00:00,204.0,47.0,109.0,1082.0,263.0,2020-07-02 12:55:51+00:00,0.6.2,10.0,Metric learning algorithms in Python.,122.0,113.0,19.0,23,https://pypi.org/project/metric-learn,2020-07-02 12:59:23+00:00,9.0,13639.0,13639.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n397,garage,rlworkgroup/garage,garage,,,reinforcement-learning,['tensorflow'],https://github.com/rlworkgroup/garage,https://github.com/rlworkgroup/garage,MIT,2018-06-10 21:31:23+00:00,2020-12-15 16:56:29+00:00,2020-12-07 20:24:30+00:00,181.0,182.0,762.0,987.0,1180.0,2020-09-17 07:34:11+00:00,2020.6.3,21.0,A toolkit for reproducible reinforcement learning research.,13.0,13.0,73.0,23,https://pypi.org/project/garage,2020-10-02 17:16:03+00:00,,299.0,299.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n398,modAL,modAL-python/modAL,modAL,,,others,['sklearn'],https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15+00:00,2020-12-09 16:01:00+00:00,2020-11-01 08:39:01+00:00,161.0,39.0,48.0,969.0,643.0,2020-08-21 06:19:25+00:00,0.4.0,11.0,A modular active learning framework for Python.,45.0,41.0,13.0,23,https://pypi.org/project/modAL,2020-11-01 08:48:50+00:00,4.0,2970.0,2970.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n399,ChainerRL,chainer/chainerrl,chainerrl,,,reinforcement-learning,,https://github.com/chainer/chainerrl,https://github.com/chainer/chainerrl,MIT,2017-01-30 04:58:15+00:00,2020-12-09 06:26:53+00:00,2020-12-09 06:26:52+00:00,205.0,75.0,146.0,915.0,3458.0,2020-02-14 05:35:56+00:00,0.8.0,10.0,ChainerRL is a deep reinforcement learning library built on top of Chainer.,101.0,87.0,29.0,23,https://pypi.org/project/chainerrl,2020-02-14 05:35:56+00:00,14.0,924.0,924.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n400,tensorly,tensorly/tensorly,tensorly,,,others,,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52+00:00,2020-12-14 16:30:07+00:00,2020-12-12 20:20:11+00:00,186.0,24.0,90.0,915.0,818.0,2020-12-07 20:30:41+00:00,0.5.1,16.0,TensorLy: Tensor Learning in Python.,20.0,,37.0,23,https://pypi.org/project/tensorly,2020-12-07 20:30:41+00:00,20.0,3159.0,3159.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n401,keract,philipperemy/keract,keract,,,interpretability,['keras'],https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57+00:00,2020-11-12 02:21:05+00:00,2020-11-12 02:21:04+00:00,172.0,2.0,70.0,836.0,324.0,2020-09-09 02:29:02+00:00,4.3.3,35.0,Activation Maps (Layers Outputs) and Gradients in Keras.,66.0,61.0,15.0,23,https://pypi.org/project/keract,2020-11-06 08:09:00+00:00,5.0,1399.0,1399.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n402,PySwarms,ljvmiranda921/pyswarms,pyswarms,,,others,,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45+00:00,2020-12-11 15:00:13+00:00,2020-11-17 09:42:41+00:00,228.0,12.0,151.0,691.0,403.0,2020-11-14 05:18:38+00:00,.1.2.0,19.0,A research toolkit for particle swarm optimization in Python.,83.0,83.0,42.0,23,https://pypi.org/project/pyswarms,2020-11-14 05:17:27+00:00,,6392.0,6392.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n403,Satpy,pytroll/satpy,satpy,,,geospatial-data,,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43+00:00,2020-12-15 18:32:49+00:00,2020-12-14 21:33:25+00:00,190.0,303.0,279.0,651.0,7923.0,2020-11-16 09:48:15+00:00,0.24.0,61.0,Python package for earth-observing satellite data processing.,43.0,37.0,102.0,23,https://pypi.org/project/satpy,2020-11-16 09:48:15+00:00,6.0,844.0,844.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n404,GPUtil,anderskm/gputil,gputil,,,system-monitoring,,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43+00:00,2020-10-01 05:42:49+00:00,2019-08-16 09:00:15+00:00,76.0,11.0,13.0,651.0,140.0,2018-12-18 09:12:13+00:00,1.4.0,8.0,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,997.0,895.0,13.0,23,https://pypi.org/project/gputil,2018-12-18 09:12:13+00:00,102.0,49999.0,49999.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n405,Singer,singer-io/getting-started,singer-python,,,data-loading,,https://github.com/singer-io/getting-started,https://github.com/singer-io/getting-started,AGPL-3.0,2016-10-31 16:53:56+00:00,2020-12-04 20:57:23+00:00,2020-12-04 20:57:19+00:00,86.0,20.0,16.0,648.0,173.0,2019-11-04 21:43:38+00:00,5.9.1,100.0,\"Standard for moving data between databases, web APIs, files, queues, and just about anything else you can think of.\",300.0,,26.0,23,https://pypi.org/project/singer-python,2020-10-27 17:49:47+00:00,300.0,55057.0,55057.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n406,scikit-multilearn,scikit-multilearn/scikit-multilearn,scikit-multilearn,,,others,['sklearn'],https://github.com/scikit-multilearn/scikit-multilearn,https://github.com/scikit-multilearn/scikit-multilearn,BSD-2-Clause,2014-04-30 13:05:44+00:00,2020-06-30 10:19:46+00:00,2019-05-21 11:29:06+00:00,117.0,64.0,91.0,609.0,487.0,2018-12-10 16:24:47+00:00,0.2.0,6.0,A scikit-learn based module for multi-label et. al. classification.,305.0,302.0,15.0,23,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47+00:00,3.0,62895.0,62895.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n407,Node2Vec,eliorc/node2vec,node2vec,,,graph,,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06+00:00,2020-11-28 08:59:52+00:00,2020-11-28 08:54:36+00:00,159.0,1.0,46.0,596.0,44.0,2020-11-28 08:59:52+00:00,0.4.0,12.0,Implementation of the node2vec algorithm.,107.0,102.0,6.0,23,https://pypi.org/project/node2vec,2020-11-28 08:57:22+00:00,5.0,8171.0,8171.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n408,pyahocorasick,WojciechMula/pyahocorasick,pyahocorasick,,,nlp,,https://github.com/WojciechMula/pyahocorasick,https://github.com/WojciechMula/pyahocorasick,BSD-3-Clause,2013-05-30 19:55:46+00:00,2020-04-06 18:14:15+00:00,2020-04-06 18:13:55+00:00,84.0,29.0,63.0,558.0,392.0,2018-12-20 19:06:01+00:00,1.4.0,22.0,Python module (C extension and plain python) implementing Aho-Corasick algorithm.,506.0,442.0,19.0,23,https://pypi.org/project/pyahocorasick,2019-01-14 16:20:13+00:00,64.0,155601.0,155601.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n409,micawber,coleifer/micawber,micawber,,,web-scraping,,https://github.com/coleifer/micawber,https://github.com/coleifer/micawber,MIT,2012-03-27 21:42:46+00:00,2020-11-05 00:48:10+00:00,2020-11-05 00:47:52+00:00,75.0,1.0,52.0,510.0,187.0,2018-09-23 17:09:40+00:00,0.5.0,20.0,a small library for extracting rich content from urls.,841.0,477.0,25.0,23,https://pypi.org/project/micawber,2019-06-30 16:20:04+00:00,364.0,3146.0,3146.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n410,GeoViews,holoviz/geoviews,geoviews,conda-forge/geoviews,,geospatial-data,,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01+00:00,2020-11-13 20:59:34+00:00,2020-09-21 16:31:16+00:00,59.0,77.0,169.0,319.0,635.0,2020-09-23 18:59:07+00:00,1.8.0,21.0,\"Simple, concise geographical visualization in Python.\",184.0,174.0,21.0,23,https://pypi.org/project/geoviews,2020-03-30 19:17:21+00:00,10.0,1671.0,1671.0,https://anaconda.org/conda-forge/geoviews,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n411,pyhdb,SAP/pyhdb,pyhdb,,,db-clients,,https://github.com/SAP/PyHDB,https://github.com/SAP/PyHDB,Apache-2.0,2014-12-12 04:02:40+00:00,2020-10-20 15:21:20+00:00,2018-05-24 13:45:41+00:00,132.0,50.0,51.0,285.0,155.0,2018-02-16 12:44:36+00:00,0.3.4,8.0,SAP HANA Connector in pure Python.,130.0,100.0,10.0,23,https://pypi.org/project/pyhdb,2018-02-16 12:37:13+00:00,30.0,68123.0,68123.0,,,,False,3,56.0,,,,,,,,,,,,,,,,,,,,,,\n412,pySBD,nipunsadvilkar/pySBD,pysbd,,,nlp,,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20+00:00,2020-12-01 05:37:27+00:00,2020-12-01 05:37:25+00:00,25.0,4.0,43.0,239.0,274.0,2020-10-08 11:41:09+00:00,0.3.3,14.0,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,90.0,88.0,6.0,23,https://pypi.org/project/pysbd,2020-10-08 11:33:56+00:00,2.0,14866.0,14866.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n413,TensorFlow Cloud,tensorflow/cloud,tensorflow-cloud,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59+00:00,2020-12-14 23:05:40+00:00,2020-12-04 18:40:10+00:00,41.0,41.0,25.0,208.0,486.0,2020-12-03 20:05:29+00:00,0.1.10,13.0,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,7.0,7.0,15.0,23,https://pypi.org/project/tensorflow-cloud,2020-12-03 20:05:29+00:00,,698528.0,698528.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n414,pyexcel-xlsx,pyexcel/pyexcel-xlsx,pyexcel-xlsx,conda-forge/pyexcel-xlsx,,data-loading,,https://github.com/pyexcel/pyexcel-xlsx,https://github.com/pyexcel/pyexcel-xlsx,BSD-3-Clause,2014-12-02 00:03:24+00:00,2020-11-28 22:30:58+00:00,2020-11-28 22:30:53+00:00,16.0,12.0,20.0,83.0,267.0,2020-10-10 13:13:09+00:00,0.6.0,30.0,\"A wrapper library to read, manipulate and write data in xlsx and xlsm format using openpyxl.\",1342.0,1032.0,4.0,23,https://pypi.org/project/pyexcel-xlsx,2019-12-28 20:09:57+00:00,310.0,42484.0,42484.0,https://anaconda.org/conda-forge/pyexcel-xlsx,,,False,3,46.0,,,,,,,,,,,,,,,,,,,,,,\n415,PaddleOCR,PaddlePaddle/PaddleOCR,paddleocr,,,ocr,['paddle'],https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16+00:00,2020-12-15 16:59:33+00:00,2020-12-15 16:59:32+00:00,1402.0,228.0,712.0,7185.0,,2020-11-27 03:09:22+00:00,1.1.1,8.0,\"Awesome multilingual OCR toolkits based on PaddlePaddle practical ultra lightweight OCR system, provide data..\",9.0,9.0,41.0,22,https://pypi.org/project/paddleocr,2020-11-27 03:09:22+00:00,0.0,1230.0,1230.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n416,Vaex,vaexio/vaex,vaex,conda-forge/vaex,,data-containers,,https://github.com/vaexio/vaex,https://github.com/vaexio/vaex,MIT,2014-09-27 09:44:42+00:00,2020-12-14 18:05:42+00:00,2020-12-09 10:57:28+00:00,418.0,266.0,378.0,5471.0,2898.0,2020-05-25 21:35:34+00:00,3.0.0,41.0,\"Out-of-Core DataFrames for Python, ML, visualize and explore big tabular data at a billion rows per second.\",2.0,,35.0,22,https://pypi.org/project/vaex,2020-12-08 16:25:15+00:00,2.0,4802.0,4804.0,https://anaconda.org/conda-forge/vaex,,,True,3,199.0,,,,,,,,,,,,,,,,,,,,,,\n417,Snips NLU,snipsco/snips-nlu,snips-nlu,,,nlp,,https://github.com/snipsco/snips-nlu,https://github.com/snipsco/snips-nlu,Apache-2.0,2017-02-08 16:16:36+00:00,2020-02-08 21:49:33+00:00,2020-02-08 21:49:32+00:00,451.0,50.0,196.0,3412.0,2153.0,2020-01-15 10:13:17+00:00,0.20.2,58.0,Snips Python library to extract meaning from text.,8.0,,21.0,22,https://pypi.org/project/snips-nlu,2020-01-15 10:13:17+00:00,8.0,1907.0,1907.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n418,Image Deduplicator,idealo/imagededup,imagededup,,,image,['tensorflow'],https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54+00:00,2020-12-15 16:08:20+00:00,2020-11-23 17:40:40+00:00,265.0,13.0,49.0,3282.0,460.0,2020-11-23 17:55:24+00:00,0.2.4,9.0,Finding duplicate images made easy!.,9.0,8.0,9.0,22,https://pypi.org/project/imagededup,2020-11-22 21:09:36+00:00,1.0,2366.0,2366.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n419,ArrayFire,arrayfire/arrayfire,arrayfire,,,gpu-utilities,,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33+00:00,2020-12-14 08:28:11+00:00,2020-12-02 16:58:49+00:00,450.0,254.0,1192.0,3237.0,5663.0,2020-11-23 16:37:49+00:00,3.7.3,29.0,ArrayFire: a general purpose GPU library.,2.0,,80.0,22,https://pypi.org/project/arrayfire,2018-10-18 14:13:29+00:00,2.0,629.0,635.0,,,,True,2,458.0,,,,,,,,,,,,,,,,,,,,,,\n420,AdaNet,tensorflow/adanet,adanet,,,hyperopt,['tensorflow'],https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24+00:00,2020-07-09 21:03:28+00:00,2020-07-09 20:51:04+00:00,490.0,64.0,46.0,3215.0,439.0,2020-07-09 20:53:28+00:00,0.9.0,13.0,Fast and flexible AutoML with learning guarantees.,34.0,32.0,26.0,22,https://pypi.org/project/adanet,2020-07-09 21:03:28+00:00,2.0,866.0,866.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n421,PyAlgoTrade,gbeced/pyalgotrade,pyalgotrade,,,financial-data,,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54+00:00,2020-09-16 00:41:56+00:00,2018-08-21 02:42:52+00:00,1139.0,38.0,81.0,3076.0,1156.0,,,8.0,Python Algorithmic Trading Library.,86.0,65.0,11.0,22,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25+00:00,21.0,518.0,518.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n422,Scalene,emeryberger/scalene,scalene,,,system-monitoring,,https://github.com/emeryberger/scalene,https://github.com/emeryberger/scalene,Apache-2.0,2019-12-17 20:56:28+00:00,2020-12-10 01:29:13+00:00,2020-12-10 01:29:09+00:00,102.0,18.0,50.0,2863.0,770.0,2020-12-09 19:58:56+00:00,1.1.12,85.0,\"Scalene: a high-performance, high-precision CPU and memory profiler for Python.\",18.0,18.0,15.0,22,https://pypi.org/project/scalene,2020-12-09 23:42:11+00:00,0.0,1878.0,1878.0,,,,True,3,,,,,,,,,,,,,,,,,py-spy,,,,,,\n423,aubio,aubio/aubio,,,,audio,,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44+00:00,2020-12-07 11:14:34+00:00,2020-07-02 17:03:56+00:00,290.0,102.0,171.0,1984.0,4109.0,2019-02-27 09:00:43+00:00,0.4.9,8.0,a library for audio and music analysis.,195.0,195.0,24.0,22,,,,,,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n424,Mars,mars-project/mars,pymars,,,others,,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03+00:00,2020-12-15 12:09:21+00:00,2020-12-15 11:51:12+00:00,235.0,102.0,603.0,1953.0,653.0,2020-12-05 08:43:25+00:00,0.6.0,65.0,\"Mars is a tensor-based unified framework for large-scale data computation which scales Numpy, Pandas and Scikit-learn.\",3.0,3.0,14.0,22,https://pypi.org/project/pymars,2020-12-05 09:40:46+00:00,,2488.0,2488.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n425,Enigma Catalyst,enigmampc/catalyst,enigma-catalyst,,,financial-data,,https://github.com/enigmampc/catalyst,https://github.com/enigmampc/catalyst,Apache-2.0,2017-06-13 22:31:34+00:00,2020-03-12 17:32:54+00:00,2018-11-11 19:19:00+00:00,563.0,131.0,363.0,1890.0,6360.0,2018-09-13 15:09:58+00:00,0.5.21,52.0,An Algorithmic Trading Library for Crypto-Assets in Python.,19.0,19.0,143.0,22,https://pypi.org/project/enigma-catalyst,2018-11-11 16:46:28+00:00,,264.0,264.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n426,PandasGUI,adamerose/pandasgui,pandasgui,,,data-viz,['pandas'],https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT,2019-06-12 02:19:42+00:00,2020-12-05 10:18:01+00:00,2020-12-05 10:17:52+00:00,103.0,10.0,50.0,1861.0,403.0,2020-11-10 17:30:20+00:00,0.2.7,37.0,A GUI for Pandas DataFrames.,24.0,23.0,6.0,22,https://pypi.org/project/pandasgui,2020-11-10 17:30:20+00:00,1.0,2453.0,2453.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n427,PyFlux,RJT1990/pyflux,pyflux,,,time-series-data,,https://github.com/RJT1990/pyflux,https://github.com/RJT1990/pyflux,BSD-3-Clause,2016-02-16 20:12:02+00:00,2019-03-19 10:45:02+00:00,2018-12-16 15:30:13+00:00,204.0,79.0,65.0,1832.0,118.0,2017-11-21 16:27:06+00:00,0.4.16,35.0,Open source time series library for Python.,179.0,164.0,6.0,22,https://pypi.org/project/pyflux,2017-11-21 16:27:06+00:00,15.0,12514.0,12514.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n428,MONAI,Project-MONAI/MONAI,monai,,,medical-data,['pytorch'],https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38+00:00,2020-12-15 18:33:17+00:00,2020-12-15 14:11:31+00:00,285.0,82.0,553.0,1593.0,687.0,2020-12-15 15:21:13+00:00,0.4.0,15.0,AI Toolkit for Healthcare Imaging.,,,48.0,22,https://pypi.org/project/monai,2020-12-15 15:16:56+00:00,,4394.0,4394.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n429,STUMPY,TDAmeritrade/stumpy,stumpy,conda-forge/stumpy,,time-series-data,,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44+00:00,2020-12-15 17:23:06+00:00,2020-12-15 17:22:52+00:00,150.0,29.0,167.0,1593.0,755.0,2020-12-10 18:23:49+00:00,1.6.0,14.0,\"STUMPY is a powerful and scalable Python library for computing a Matrix Profile, which can be used for a variety of..\",,,20.0,22,https://pypi.org/project/stumpy,2020-12-10 18:23:49+00:00,,9248.0,9248.0,https://anaconda.org/conda-forge/stumpy,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n430,scattertext,JasonKessler/scattertext,scattertext,,,nlp,,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12+00:00,2020-12-14 02:45:48+00:00,2020-12-14 02:44:49+00:00,196.0,16.0,50.0,1462.0,334.0,2017-03-13 05:31:21+00:00,0.0.2.4.4,127.0,Beautiful visualizations of how language differs among document types.,141.0,133.0,10.0,22,https://pypi.org/project/scattertext,2020-12-14 02:45:48+00:00,8.0,3087.0,3087.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n431,fast-bert,kaushaltrivedi/fast-bert,fast-bert,,,nlp,,https://github.com/kaushaltrivedi/fast-bert,https://github.com/kaushaltrivedi/fast-bert,Apache-2.0,2019-04-18 22:01:20+00:00,2020-12-09 21:27:58+00:00,2020-12-09 21:27:24+00:00,302.0,137.0,90.0,1456.0,261.0,2020-12-09 21:27:58+00:00,1.9.5,40.0,Super easy library for BERT based NLP models.,2.0,,34.0,22,https://pypi.org/project/fast-bert,2020-12-09 21:27:58+00:00,2.0,2062.0,2062.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n432,sklearn-contrib-lightning,scikit-learn-contrib/lightning,sklearn-contrib-lightning,,,others,['sklearn'],https://github.com/scikit-learn-contrib/lightning,https://github.com/scikit-learn-contrib/lightning,BSD-3-Clause,2012-01-11 13:53:52+00:00,2020-10-08 06:56:19+00:00,2020-06-09 20:24:37+00:00,164.0,41.0,35.0,1402.0,694.0,2017-11-04 18:03:11+00:00,0.5.0,6.0,\"Large-scale linear classification, regression and ranking in Python.\",69.0,67.0,14.0,22,https://pypi.org/project/sklearn-contrib-lightning,2017-11-04 18:03:11+00:00,2.0,218.0,218.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n433,anaGo,Hironsan/anago,anago,,,nlp,['keras'],https://github.com/Hironsan/anago,https://github.com/Hironsan/anago,MIT,2017-06-26 21:28:36+00:00,2020-11-13 17:31:18+00:00,2019-10-23 03:19:52+00:00,346.0,36.0,71.0,1369.0,296.0,2018-06-03 13:51:56+00:00,1.0.0,14.0,\"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.\",24.0,24.0,11.0,22,https://pypi.org/project/anago,2018-07-17 01:59:21+00:00,,1642.0,1642.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n434,NiftyNet,NifTK/NiftyNet,niftynet,,,medical-data,['tensorflow'],https://github.com/NifTK/NiftyNet,https://github.com/NifTK/NiftyNet,Apache-2.0,2017-08-30 07:55:43+00:00,2020-04-21 19:54:52+00:00,2020-04-21 19:54:51+00:00,372.0,99.0,224.0,1256.0,2848.0,2019-10-09 19:33:30+00:00,0.6.0,11.0,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,33.0,33.0,58.0,22,https://pypi.org/project/niftynet,2019-10-10 10:59:33+00:00,,306.0,306.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n435,EfficientNets,rwightman/gen-efficientnet-pytorch,geffnet,,,pytorch-utils,['pytorch'],https://github.com/rwightman/gen-efficientnet-pytorch,https://github.com/rwightman/gen-efficientnet-pytorch,Apache-2.0,2019-05-11 19:35:56+00:00,2020-11-30 05:51:08+00:00,2020-11-30 05:49:27+00:00,161.0,,46.0,1205.0,106.0,2020-08-20 19:55:21+00:00,1.0.0,9.0,\"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.\",25.0,25.0,5.0,22,https://pypi.org/project/geffnet,2020-08-20 19:55:21+00:00,,1248.0,1248.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n436,Torchmeta,tristandeleu/pytorch-meta,torchmeta,,,pytorch-utils,['pytorch'],https://github.com/tristandeleu/pytorch-meta,https://github.com/tristandeleu/pytorch-meta,MIT,2018-12-04 23:36:45+00:00,2020-11-25 16:45:01+00:00,2020-11-25 16:41:48+00:00,128.0,17.0,69.0,1133.0,341.0,2020-11-25 16:45:01+00:00,1.6.1,26.0,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.,22.0,22.0,10.0,22,https://pypi.org/project/torchmeta,2020-11-25 16:45:01+00:00,,4041.0,4041.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n437,pandasql,yhat/pandasql,pandasql,,,data-containers,['pandas'],https://github.com/yhat/pandasql,https://github.com/yhat/pandasql,MIT,2013-02-18 01:53:56+00:00,2020-08-14 13:00:13+00:00,2017-02-01 15:40:30+00:00,141.0,44.0,23.0,921.0,127.0,2016-04-20 21:52:36+00:00,0.7.3,31.0,sqldf for pandas.,631.0,582.0,15.0,22,https://pypi.org/project/pandasql,2016-04-20 21:52:36+00:00,49.0,210492.0,210492.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n438,bt,pmorissette/bt,bt,,,financial-data,,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28+00:00,2020-12-15 04:05:29+00:00,2020-12-15 04:05:28+00:00,244.0,57.0,153.0,903.0,362.0,2018-05-28 17:12:46+00:00,0.2.7,23.0,bt - flexible backtesting for Python.,59.0,39.0,20.0,22,https://pypi.org/project/bt,2018-05-28 17:12:46+00:00,20.0,3683.0,3683.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n439,luminol,linkedin/luminol,luminol,,,time-series-data,,https://github.com/linkedin/luminol,https://github.com/linkedin/luminol,Apache-2.0,2015-11-18 23:16:33+00:00,2019-10-23 13:20:58+00:00,2018-01-09 07:46:55+00:00,174.0,24.0,12.0,857.0,69.0,2016-01-20 01:01:44+00:00,0.3.1,5.0,Anomaly Detection and Correlation library.,48.0,36.0,8.0,22,https://pypi.org/project/luminol,2017-12-11 06:04:15+00:00,12.0,135304.0,135304.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n440,spacy-transformers,explosion/spacy-transformers,spacy-transformers,,,nlp,['spacy'],https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34+00:00,2020-12-15 15:17:59+00:00,2020-12-08 21:46:08+00:00,97.0,48.0,131.0,854.0,1234.0,2020-06-29 12:10:14+00:00,0.6.2,33.0,\"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.\",67.0,64.0,14.0,22,https://pypi.org/project/spacy-transformers,2020-10-14 12:35:57+00:00,3.0,7256.0,7256.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n441,attention-ocr,emedvedev/attention-ocr,aocr,,,ocr,['tensorflow'],https://github.com/emedvedev/attention-ocr,https://github.com/emedvedev/attention-ocr,MIT,2017-07-21 18:35:19+00:00,2020-10-31 19:40:20+00:00,2020-10-31 19:40:19+00:00,225.0,16.0,125.0,822.0,196.0,2020-10-12 06:56:40+00:00,0.7.6,21.0,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,15.0,15.0,27.0,22,https://pypi.org/project/aocr,2019-04-19 05:28:27+00:00,,215.0,215.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n442,Alibi,SeldonIO/alibi,alibi,,,interpretability,,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Apache-2.0,2019-02-26 10:10:56+00:00,2020-12-03 14:50:46+00:00,2020-12-02 15:42:16+00:00,95.0,62.0,72.0,794.0,226.0,2020-10-20 14:14:29+00:00,0.5.5,15.0,Algorithms for monitoring and explaining machine learning models.,59.0,50.0,11.0,22,https://pypi.org/project/alibi,2020-10-20 14:13:40+00:00,9.0,3695.0,3695.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n443,Neural Structured Learning,tensorflow/neural-structured-learning,neural-structured-learning,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/neural-structured-learning,https://github.com/tensorflow/neural-structured-learning,Apache-2.0,2019-08-27 21:48:16+00:00,2020-12-14 18:50:22+00:00,2020-12-14 18:50:13+00:00,135.0,5.0,38.0,755.0,344.0,2020-08-18 00:30:03+00:00,1.3.1,7.0,Training neural models with structured signals.,15.0,15.0,25.0,22,https://pypi.org/project/neural-structured-learning,2020-08-18 00:35:35+00:00,,2648.0,2648.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n444,FinTA,peerchemist/finta,finta,,,financial-data,,https://github.com/peerchemist/finta,https://github.com/peerchemist/finta,LGPL-3.0,2016-09-01 21:02:46+00:00,2020-12-11 12:20:14+00:00,2020-11-04 21:30:11+00:00,276.0,7.0,58.0,737.0,364.0,2020-10-21 11:36:19+00:00,1.2,19.0,Common financial technical indicators implemented in Pandas.,53.0,51.0,21.0,22,https://pypi.org/project/finta,2020-10-21 11:39:44+00:00,2.0,2760.0,2760.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n445,Explainability 360,Trusted-AI/AIX360,aix360,,,interpretability,,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48+00:00,2020-12-04 16:51:14+00:00,2020-12-04 16:49:39+00:00,160.0,26.0,18.0,731.0,305.0,2020-10-28 09:32:21+00:00,0.2.1,4.0,Interpretability and explainability of data and machine learning models.,12.0,11.0,27.0,22,https://pypi.org/project/aix360,2020-10-28 09:18:17+00:00,1.0,715.0,715.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n446,openTSNE,pavlin-policar/openTSNE,opentsne,conda-forge/opentsne,,data-viz,,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09+00:00,2020-11-27 13:41:37+00:00,2020-11-27 13:40:26+00:00,78.0,3.0,68.0,722.0,496.0,2020-05-08 13:03:50+00:00,0.4.4,17.0,\"Extensible, parallel implementations of t-SNE.\",160.0,156.0,10.0,22,https://pypi.org/project/opentsne,2020-08-04 06:43:16+00:00,4.0,11272.0,11272.0,https://anaconda.org/conda-forge/opentsne,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n447,TreeInterpreter,andosa/treeinterpreter,treeinterpreter,,,interpretability,['sklearn'],https://github.com/andosa/treeinterpreter,https://github.com/andosa/treeinterpreter,BSD-3-Clause,2015-08-02 20:26:21+00:00,2020-10-03 02:17:19+00:00,2020-06-22 18:40:46+00:00,126.0,18.0,1.0,628.0,34.0,2018-12-16 14:02:34+00:00,0.2.2,4.0,Package for interpreting scikit-learn's decision tree and random forest predictions.,110.0,106.0,10.0,22,https://pypi.org/project/treeinterpreter,2018-12-16 14:02:34+00:00,4.0,76773.0,76773.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n448,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,pandas-bokeh,,,data-viz,['pandas'],https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14+00:00,2020-11-27 08:30:55+00:00,2020-11-27 08:28:43+00:00,74.0,20.0,51.0,585.0,259.0,2020-11-27 08:29:09+00:00,0.5.2,13.0,Bokeh Plotting Backend for Pandas and GeoPandas.,124.0,114.0,11.0,22,https://pypi.org/project/pandas-bokeh,2020-11-27 08:30:55+00:00,10.0,7725.0,7725.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n449,Prince,MaxHalford/prince,prince,,,others,['sklearn'],https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06+00:00,2020-10-06 11:48:49+00:00,2020-10-06 11:26:04+00:00,108.0,24.0,64.0,536.0,178.0,2020-10-06 11:26:47+00:00,0.7.1,41.0,\"Python factor analysis library (PCA, CA, MCA, MFA, FAMD).\",98.0,95.0,9.0,22,https://pypi.org/project/prince,2020-10-06 11:26:47+00:00,3.0,6156.0,6156.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n450,Sentinelsat,sentinelsat/sentinelsat,sentinelsat,,,geospatial-data,,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26+00:00,2020-11-10 08:08:10+00:00,2020-11-10 08:08:09+00:00,162.0,29.0,204.0,523.0,769.0,2020-06-12 07:15:51+00:00,0.14,36.0,Search and download Copernicus Sentinel satellite images.,175.0,153.0,33.0,22,https://pypi.org/project/sentinelsat,2020-06-12 07:08:37+00:00,22.0,8906.0,8909.0,,,,False,3,184.0,,,,,,,,,,,,,,,,,,,,,,\n451,Guild AI,guildai/guildai,guildai,,,ml-experiments,,https://github.com/guildai/guildai,https://github.com/guildai/guildai,Apache-2.0,2017-09-27 18:57:50+00:00,2020-12-15 13:17:51+00:00,2020-12-15 13:15:36+00:00,44.0,93.0,143.0,511.0,4161.0,2020-12-05 17:36:38+00:00,0.7.1,155.0,\"Experiment tracking, ML developer tools.\",25.0,25.0,16.0,22,https://pypi.org/project/guildai,2020-12-05 17:36:38+00:00,,4594.0,4594.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n452,vega,vega/ipyvega,vega,conda-forge/vega,,data-viz,['jupyter'],https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47+00:00,2020-12-14 16:46:32+00:00,2020-12-14 16:46:29+00:00,46.0,8.0,79.0,289.0,461.0,2020-05-15 23:40:02+00:00,3.4.0,37.0,IPython/Jupyter notebook module for Vega and Vega-Lite.,148.0,,9.0,22,https://pypi.org/project/vega,2020-05-15 23:40:02+00:00,148.0,10585.0,10585.0,https://anaconda.org/conda-forge/vega,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n453,SDV,sdv-dev/SDV,sdv,,,data-loading,,https://github.com/sdv-dev/SDV,https://github.com/sdv-dev/SDV,MIT,2018-05-11 15:56:50+00:00,2020-12-10 12:40:36+00:00,2020-12-07 19:08:43+00:00,48.0,36.0,124.0,277.0,731.0,2020-11-25 21:16:43+00:00,0.5.0,31.0,\"Synthetic Data Generation for tabular, relational and time series data.\",12.0,12.0,32.0,22,https://pypi.org/project/sdv,2020-11-25 21:16:03+00:00,,1518.0,1518.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n454,pysparkling,svenkreiss/pysparkling,pysparkling,,,data-pipelines,,https://github.com/svenkreiss/pysparkling,https://github.com/svenkreiss/pysparkling,MIT,2015-05-09 19:23:20+00:00,2020-11-02 11:37:56+00:00,2020-11-02 11:37:55+00:00,43.0,2.0,20.0,233.0,1506.0,2019-07-13 07:23:04+00:00,0.6.0,67.0,A pure Python implementation of Apache Spark's RDD and DStream interfaces.,60.0,53.0,9.0,22,https://pypi.org/project/pysparkling,2019-07-13 07:23:04+00:00,7.0,7386.0,7386.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n455,EarthPy,earthlab/earthpy,earthpy,conda-forge/earthpy,,geospatial-data,,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42+00:00,2020-12-14 02:20:18+00:00,2020-12-03 23:03:15+00:00,89.0,22.0,199.0,209.0,1066.0,2020-06-18 23:58:08+00:00,0.9.2,22.0,A package built to support working with spatial data using open source python.,72.0,69.0,38.0,22,https://pypi.org/project/earthpy,2020-06-18 23:58:08+00:00,3.0,2273.0,2273.0,https://anaconda.org/conda-forge/earthpy,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n456,Orion,Epistimio/orion,orion,,,hyperopt,,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21+00:00,2020-12-10 01:11:18+00:00,2020-12-04 21:01:34+00:00,35.0,18.0,92.0,179.0,2421.0,2020-12-04 17:08:50+00:00,0.1.11,12.0,Asynchronous Distributed Hyperparameter Optimization.,46.0,38.0,18.0,22,https://pypi.org/project/orion,2020-12-04 17:08:50+00:00,8.0,1089.0,1089.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n457,py3nvml,fbcotter/py3nvml,py3nvml,,,gpu-utilities,,https://github.com/fbcotter/py3nvml,https://github.com/fbcotter/py3nvml,BSD-3-Clause,2016-11-21 01:07:37+00:00,2020-04-23 06:54:43+00:00,2020-04-23 06:54:42+00:00,24.0,2.0,8.0,159.0,79.0,2020-04-06 16:02:10+00:00,0.2.6,13.0,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,230.0,210.0,6.0,22,https://pypi.org/project/py3nvml,2020-04-06 16:02:10+00:00,20.0,75381.0,75381.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n458,Recommenders,microsoft/recommenders,,,,recommender-systems,,https://github.com/microsoft/recommenders,https://github.com/microsoft/recommenders,MIT,2018-09-19 10:06:07+00:00,2020-12-09 22:07:22+00:00,2020-11-27 17:04:52+00:00,1466.0,100.0,425.0,8815.0,6206.0,2020-08-20 15:11:46+00:00,2020.8,6.0,Best Practices on Recommendation Systems.,1.0,1.0,86.0,21,,,,,,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n459,Dejavu,worldveil/dejavu,PyDejavu,,,audio,,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35+00:00,2020-10-29 17:40:17+00:00,2020-06-03 05:58:03+00:00,1236.0,83.0,129.0,5248.0,146.0,2015-04-19 21:20:16+00:00,0.1.3,4.0,Audio fingerprinting and recognition in Python.,17.0,16.0,23.0,21,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16+00:00,1.0,146.0,146.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n460,Face Alignment,1adrianb/face-alignment,face-alignment,,,image,['pytorch'],https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44+00:00,2020-12-13 21:48:28+00:00,2020-12-13 21:48:13+00:00,971.0,44.0,181.0,4531.0,148.0,2020-09-12 12:24:59+00:00,1.1.1,5.0,2D and 3D Face alignment library build using pytorch.,6.0,,19.0,21,https://pypi.org/project/face-alignment,2020-09-12 12:24:59+00:00,6.0,5056.0,5056.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n461,mace,XiaoMi/mace,,,,ml-frameworks,,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12+00:00,2020-11-04 12:39:59+00:00,2020-11-04 11:55:55+00:00,739.0,37.0,574.0,4233.0,3059.0,2020-11-04 12:43:00+00:00,1.0.0,7.0,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,,,54.0,21,,,,,45.0,,,,True,3,1271.0,,,,,,,,,,,,,,,,,,,,,,\n462,MMF,facebookresearch/mmf,mmf,,,image,['pytorch'],https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40+00:00,2020-12-15 03:41:20+00:00,2020-12-10 13:55:36+00:00,585.0,88.0,313.0,3992.0,753.0,2019-08-26 19:04:21+00:00,0.3.1,11.0,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,6.0,6.0,50.0,21,https://pypi.org/project/mmf,2020-06-11 16:09:52+00:00,,313.0,313.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n463,MatchZoo,NTMC-Community/MatchZoo,matchzoo,,,nlp,['keras'],https://github.com/NTMC-Community/MatchZoo,https://github.com/NTMC-Community/MatchZoo,Apache-2.0,2017-06-08 08:55:22+00:00,2020-06-17 07:27:59+00:00,2019-10-24 13:10:07+00:00,858.0,23.0,427.0,3291.0,1808.0,2019-10-24 13:09:11+00:00,2.2.0,5.0,\"Facilitating the design, comparison and sharing of deep text matching models.\",9.0,9.0,35.0,21,https://pypi.org/project/matchzoo,2019-10-24 13:09:11+00:00,,296.0,296.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n464,TensorWatch,microsoft/tensorwatch,tensorwatch,,,ml-experiments,,https://github.com/microsoft/tensorwatch,https://github.com/microsoft/tensorwatch,MIT,2019-05-15 08:29:34+00:00,2020-09-16 04:30:12+00:00,2020-09-16 04:30:11+00:00,304.0,48.0,14.0,2984.0,108.0,2020-03-04 07:26:22+00:00,0.9.1,14.0,\"Debugging, monitoring and visualization for Python Machine Learning and Data Science.\",47.0,41.0,11.0,21,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22+00:00,6.0,1359.0,1359.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n465,NLP Architect,IntelLabs/nlp-architect,nlp-architect,,,nlp,,https://github.com/IntelLabs/nlp-architect,https://github.com/IntelLabs/nlp-architect,Apache-2.0,2018-05-17 21:00:13+00:00,2020-12-09 14:58:41+00:00,2020-11-26 15:35:15+00:00,394.0,16.0,101.0,2554.0,946.0,2020-11-17 12:32:37+00:00,0.5.5.1,13.0,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,6.0,6.0,35.0,21,https://pypi.org/project/nlp-architect,2020-04-12 11:34:38+00:00,,263.0,263.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n466,tensorflow-graphics,tensorflow/graphics,tensorflow-graphics,,,image,['tensorflow'],https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44+00:00,2020-11-13 18:50:29+00:00,2020-10-30 10:26:19+00:00,261.0,87.0,81.0,2361.0,566.0,2020-05-20 19:56:41+00:00,2020.5.20,21.0,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,3.0,,30.0,21,https://pypi.org/project/tensorflow-graphics,2020-05-20 19:56:41+00:00,3.0,953.0,953.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n467,Image Super-Resolution,idealo/image-super-resolution,ISR,,,image,['tensorflow'],https://github.com/idealo/image-super-resolution,https://github.com/idealo/image-super-resolution,Apache-2.0,2018-11-26 13:41:13+00:00,2020-11-11 15:09:20+00:00,2020-11-11 15:09:19+00:00,444.0,43.0,95.0,2332.0,138.0,2020-01-08 15:37:35+00:00,2.2.0,11.0,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,38.0,34.0,9.0,21,https://pypi.org/project/ISR,2020-01-08 15:37:35+00:00,4.0,2243.0,2247.0,,,,True,3,,,,idealo/image-super-resolution-gpu,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251+00:00,,108.0,,,,,,,,,,,,,,,\n468,Luminoth,tryolabs/luminoth,luminoth,,,image,['tensorflow'],https://github.com/tryolabs/luminoth,https://github.com/tryolabs/luminoth,BSD-3-Clause,2017-02-16 15:07:46+00:00,2020-11-13 18:44:46+00:00,2020-01-07 20:53:25+00:00,402.0,50.0,127.0,2329.0,838.0,2018-10-31 22:19:52+00:00,0.2.3,10.0,Deep Learning toolkit for Computer Vision.,27.0,27.0,15.0,21,https://pypi.org/project/luminoth,2018-11-09 21:35:17+00:00,,619.0,910.0,,,,True,3,11068.0,,,,,,,,,,,,,,,,,,,,,,\n469,Porcupine,Picovoice/Porcupine,pvporcupine,,,audio,,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25+00:00,2020-12-15 01:40:26+00:00,2020-12-15 01:40:14+00:00,323.0,6.0,257.0,2252.0,332.0,2020-12-02 15:34:40+00:00,1.9,13.0,On-device wake word detection powered by deep learning.,3.0,3.0,25.0,21,https://pypi.org/project/pvporcupine,2020-10-02 19:16:49+00:00,0.0,678.0,678.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n470,NeMo,NVIDIA/NeMo,nemo-toolkit,,,nlp,['pytorch'],https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42+00:00,2020-12-15 18:16:42+00:00,2020-12-15 17:30:23+00:00,356.0,159.0,229.0,2244.0,,2020-07-10 00:01:18+00:00,0.11.0,36.0,NeMo: a toolkit for conversational AI.,4.0,,64.0,21,https://pypi.org/project/nemo-toolkit,2020-12-11 21:33:53+00:00,4.0,2414.0,2435.0,,,,True,3,324.0,,,,,,,,,,,,,,,,,,,,,,\n471,Texar,asyml/texar,texar,,,nlp,['tensorflow'],https://github.com/asyml/texar,https://github.com/asyml/texar,Apache-2.0,2017-07-22 19:02:05+00:00,2020-09-17 07:03:55+00:00,2020-07-29 00:38:30+00:00,327.0,32.0,126.0,2065.0,1719.0,2019-11-19 04:11:18+00:00,0.2.4,6.0,\"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the..\",14.0,12.0,41.0,21,https://pypi.org/project/texar,2019-11-19 04:11:18+00:00,2.0,132.0,132.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n472,Texthero,jbesomi/texthero,texthero,,,nlp,,https://github.com/jbesomi/texthero,https://github.com/jbesomi/texthero,MIT,2020-04-06 15:16:05+00:00,2020-12-09 16:49:27+00:00,2020-11-03 07:58:36+00:00,177.0,73.0,47.0,2005.0,267.0,2020-07-06 20:32:28+00:00,1.0.9,9.0,\"Text preprocessing, representation and visualization from zero to hero.\",,,18.0,21,https://pypi.org/project/texthero,2020-07-06 20:29:25+00:00,,3515.0,3521.0,,,,True,3,54.0,,,,,,,,,,,,,,,,,,,,,,\n473,TF Ranking,tensorflow/ranking,tensorflow_ranking,,,recommender-systems,['tensorflow'],https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57+00:00,2020-08-29 04:38:20+00:00,2020-08-19 20:44:22+00:00,349.0,21.0,193.0,1977.0,213.0,2020-08-19 21:58:05+00:00,0.3.2,14.0,Learning to Rank in TensorFlow.,1.0,,17.0,21,https://pypi.org/project/tensorflow_ranking,2020-08-19 21:14:13+00:00,1.0,22666.0,22666.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n474,knockknock,huggingface/knockknock,knockknock,,,ml-experiments,,https://github.com/huggingface/knockknock,https://github.com/huggingface/knockknock,MIT,2019-03-20 13:08:55+00:00,2020-07-31 11:55:05+00:00,2020-03-16 04:26:47+00:00,152.0,12.0,21.0,1902.0,75.0,2020-03-04 04:15:47+00:00,0.1.8,10.0,Knock Knock: Get notified when your training ends with only two additional lines of code.,114.0,111.0,18.0,21,https://pypi.org/project/knockknock,2020-03-16 14:30:23+00:00,3.0,1146.0,1146.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n475,Magnitude,plasticityai/magnitude,pymagnitude,,,nn-search,,https://github.com/plasticityai/magnitude,https://github.com/plasticityai/magnitude,MIT,2018-02-24 07:28:16+00:00,2020-07-17 20:19:50+00:00,2020-07-17 20:19:46+00:00,98.0,24.0,50.0,1369.0,350.0,2020-05-25 11:26:36+00:00,0.1.143,128.0,\"A fast, efficient universal vector embedding utility package.\",175.0,161.0,4.0,21,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36+00:00,14.0,4192.0,4192.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n476,DELTA,Delta-ML/delta,delta-nlp,,,nlp,['tensorflow'],https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57+00:00,2020-12-15 16:44:27.150519+00:00,2020-11-25 06:25:10+00:00,269.0,9.0,64.0,1350.0,926.0,2020-07-16 09:31:45+00:00,0.3.3,4.0,DELTA is a deep learning based natural language and speech processing platform.,,,41.0,21,https://pypi.org/project/delta-nlp,2020-03-27 04:46:19+00:00,,37.0,643.0,,,,True,3,,,,zh794390558/delta,https://hub.docker.com/r/zh794390558/delta,2020-12-15 16:44:27.150519+00:00,,11522.0,,,,,,,,,,,,,,,\n477,TensorFlow Privacy,tensorflow/privacy,tensorflow-privacy,,,privacy-ml,['tensorflow'],https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46+00:00,2020-12-14 20:08:20+00:00,2020-12-08 14:12:00+00:00,259.0,39.0,74.0,1281.0,398.0,2020-09-03 01:13:47+00:00,.0.5.1,9.0,Library for training machine learning models with privacy for training data.,1.0,,33.0,21,https://pypi.org/project/tensorflow-privacy,2020-09-03 01:10:15+00:00,1.0,4765.0,4767.0,,,,True,2,41.0,,,,,,,,,,,,,,,,,,,,,,\n478,Neural Tangents,google/neural-tangents,neural-tangents,,,ml-frameworks,,https://github.com/google/neural-tangents,https://github.com/google/neural-tangents,Apache-2.0,2019-04-08 16:48:48+00:00,2020-12-13 19:45:09+00:00,2020-12-13 19:45:00+00:00,133.0,24.0,47.0,1231.0,334.0,2020-11-18 04:34:54+00:00,0.3.5,19.0,Fast and Easy Infinite Neural Networks in Python.,12.0,12.0,16.0,21,https://pypi.org/project/neural-tangents,2020-11-18 04:23:35+00:00,,651.0,660.0,,,,True,3,54.0,,,,,,,,,,,,,,,,,,,,,,\n479,Pypeline,cgarciae/pypeln,pypeln,,,data-pipelines,,https://github.com/cgarciae/pypeln,https://github.com/cgarciae/pypeln,MIT,2018-09-01 13:43:31+00:00,2020-11-14 00:02:17+00:00,2020-11-13 23:36:42+00:00,63.0,11.0,34.0,1183.0,227.0,2020-10-11 21:02:19+00:00,0.4.6,33.0,Concurrent data pipelines in Python .,5.0,,8.0,21,https://pypi.org/project/pypeln,2020-10-11 21:01:30+00:00,5.0,3671.0,3671.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n480,TFEncrypted,tf-encrypted/tf-encrypted,tf-encrypted,,,privacy-ml,['tensorflow'],https://github.com/tf-encrypted/tf-encrypted,https://github.com/tf-encrypted/tf-encrypted,Apache-2.0,2018-03-21 18:22:13+00:00,2020-11-19 15:48:03+00:00,2020-08-19 16:56:56+00:00,133.0,161.0,230.0,800.0,595.0,2019-09-27 20:00:01+00:00,0.5.9,35.0,A Framework for Encrypted Machine Learning in TensorFlow.,52.0,44.0,28.0,21,https://pypi.org/project/tf-encrypted,2019-10-21 18:05:53+00:00,8.0,695.0,695.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n481,scikit-cuda,lebedov/scikit-cuda,scikit-cuda,,,gpu-utilities,,https://github.com/lebedov/scikit-cuda,https://github.com/lebedov/scikit-cuda,BSD-3-Clause,2010-09-27 02:02:07+00:00,2020-07-13 12:48:39+00:00,2020-07-13 12:47:46+00:00,154.0,36.0,163.0,780.0,1026.0,2019-05-27 00:29:00+00:00,0.5.3,7.0,Python interface to GPU-powered libraries.,143.0,112.0,44.0,21,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00+00:00,31.0,728.0,728.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n482,AstroML,astroML/astroML,astroML,,,others,['sklearn'],https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50+00:00,2020-09-09 15:52:15+00:00,2020-09-09 15:52:13+00:00,246.0,48.0,80.0,698.0,508.0,2019-10-02 06:32:58+00:00,0.4.1,10.0,\"Machine learning, statistics, and data mining for astronomy and astrophysics.\",187.0,158.0,29.0,21,https://pypi.org/project/astroML,2020-03-23 23:20:49+00:00,29.0,878.0,878.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n483,gmaps,pbugnion/gmaps,gmaps,,,geospatial-data,['jupyter'],https://github.com/pbugnion/gmaps,https://github.com/pbugnion/gmaps,BSD-3-Clause,2014-12-01 09:12:06+00:00,2020-10-13 07:09:18+00:00,2019-07-22 06:22:45+00:00,141.0,63.0,135.0,688.0,1380.0,2019-07-21 08:49:48.715000+00:00,0.9.0,93.0,Google maps for Jupyter notebooks.,38.0,1.0,16.0,21,https://pypi.org/project/gmaps,2019-07-20 07:47:04+00:00,37.0,3739.0,5345.0,,,,False,3,,,,,,,,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715000+00:00,,1606.0,,,,,,,,,,\n484,pickleDB,patx/pickledb,pickledb,,,data-containers,,https://github.com/patx/pickledb,https://github.com/patx/pickledb,BSD-3-Clause,2011-10-28 00:04:40+00:00,2020-08-25 09:47:52+00:00,2019-11-15 03:38:30+00:00,91.0,16.0,39.0,522.0,105.0,2019-01-13 22:40:32+00:00,0.9.1,19.0,pickleDB is an open source key-value store using Python's json module.,515.0,413.0,11.0,21,https://pypi.org/project/pickledb,2019-01-13 22:40:32+00:00,102.0,16715.0,16715.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n485,Studio.ml,studioml/studio,studioml,,,ml-experiments,,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28+00:00,2020-12-12 02:23:40+00:00,2020-11-19 20:43:12+00:00,47.0,58.0,187.0,366.0,2297.0,2020-11-19 23:30:00+00:00,0.0.35,169.0,Studio: Simplify and expedite model building process.,2.0,2.0,21.0,21,https://pypi.org/project/studioml,2020-12-12 02:23:40+00:00,,1197.0,1197.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n486,Pandas Summary,mouradmourafiq/pandas-summary,pandas-summary,,,data-containers,['pandas'],https://github.com/mouradmourafiq/pandas-summary,https://github.com/mouradmourafiq/pandas-summary,MIT,2016-03-25 21:59:32+00:00,2019-08-24 21:10:25+00:00,2019-08-24 21:10:24+00:00,33.0,8.0,5.0,357.0,24.0,2016-08-30 07:54:59+00:00,0.0.41,8.0,An extension to pandas dataframes describe function.,559.0,540.0,6.0,21,https://pypi.org/project/pandas-summary,2016-08-30 07:54:59+00:00,19.0,12815.0,12815.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n487,PyNNDescent,lmcinnes/pynndescent,pynndescent,,,nn-search,,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54+00:00,2020-11-28 21:20:02+00:00,2020-11-28 21:19:56+00:00,43.0,26.0,27.0,336.0,453.0,2020-11-19 20:20:48+00:00,0.5.1,20.0,A Python nearest neighbor descent for approximate nearest neighbors.,3.0,,10.0,21,https://pypi.org/project/pynndescent,2020-11-19 20:20:48+00:00,3.0,12769.0,12769.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n488,PyTorch Sparse,rusty1s/pytorch_sparse,torch-sparse,,,pytorch-utils,['pytorch'],https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53+00:00,2020-12-01 08:48:36+00:00,2020-12-01 08:48:19+00:00,39.0,31.0,44.0,321.0,504.0,2020-11-02 10:42:59+00:00,0.6.8,21.0,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,17.0,,11.0,21,https://pypi.org/project/torch-sparse,2020-11-02 10:43:20+00:00,17.0,3830.0,3830.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n489,torch-cluster,rusty1s/pytorch_cluster,torch-cluster,,,graph,['pytorch'],https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06+00:00,2020-12-07 09:11:31+00:00,2020-12-07 09:11:30+00:00,60.0,34.0,36.0,308.0,498.0,2020-10-31 14:42:35+00:00,1.5.8,38.0,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,16.0,,17.0,21,https://pypi.org/project/torch-cluster,2020-10-31 14:42:35+00:00,16.0,2691.0,2691.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n490,NIPY,nipy/nipy,nipy,,,medical-data,,https://github.com/nipy/nipy,https://github.com/nipy/nipy,DSDP,2010-05-02 10:00:33+00:00,2020-11-24 19:22:47+00:00,2020-10-14 22:51:30+00:00,116.0,37.0,104.0,287.0,6371.0,2018-02-19 14:14:08+00:00,0.4.2,6.0,Neuroimaging in Python FMRI analysis package.,29.0,,63.0,21,https://pypi.org/project/nipy,2018-02-19 14:14:08+00:00,29.0,1286.0,1286.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n491,pymap3d,geospace-code/pymap3d,pymap3d,,,geospatial-data,,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03+00:00,2020-11-08 05:25:47+00:00,2020-11-08 05:25:44+00:00,55.0,2.0,22.0,165.0,621.0,2020-09-21 15:20:10+00:00,2.4.3,45.0,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,3.0,,8.0,21,https://pypi.org/project/pymap3d,2020-09-21 15:16:49+00:00,3.0,19759.0,19759.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n492,filedepot,amol-/depot,filedepot,,,db-clients,,https://github.com/amol-/depot,https://github.com/amol-/depot,MIT,2014-06-04 10:27:12+00:00,2020-07-27 18:27:16+00:00,2020-07-27 18:22:42+00:00,32.0,6.0,33.0,119.0,257.0,2020-07-27 18:26:46+00:00,0.8.0,23.0,Toolkit for storing files and attachments in web applications.,302.0,214.0,18.0,21,https://pypi.org/project/filedepot,2020-07-27 18:27:16+00:00,88.0,2196.0,2196.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n493,beautifulsoup4,,beautifulsoup4,,,web-scraping,,,http://www.crummy.com/software/BeautifulSoup/bs4/,MIT,,2020-10-03 15:37:19+00:00,,,,,,,2020-10-03 15:37:19+00:00,4.9.3,33.0,Screen-scraping library.,61666.0,,,21,https://pypi.org/project/beautifulsoup4,2020-10-03 15:37:19+00:00,61666.0,9171013.0,9171013.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n494,Photon,s0md3v/Photon,photon,,,web-scraping,,https://github.com/s0md3v/Photon,https://github.com/s0md3v/Photon,GPL-3.0,2018-03-30 19:38:22+00:00,2020-10-28 14:01:02+00:00,2019-12-06 14:59:47+00:00,983.0,33.0,65.0,7390.0,324.0,2019-04-05 15:15:47+00:00,1.3.0,18.0,Incredibly fast crawler designed for OSINT.,5.0,,21.0,20,https://pypi.org/project/photon,2019-01-25 01:13:36+00:00,5.0,449.0,449.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n495,Apex,NVIDIA/apex,,conda-forge/nvidia-apex,,gpu-utilities,['pytorch'],https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52+00:00,2020-12-04 10:59:26+00:00,2020-12-04 10:59:25+00:00,656.0,425.0,359.0,4851.0,826.0,,,,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,403.0,403.0,76.0,20,,,,,,https://anaconda.org/conda-forge/nvidia-apex,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n496,cuDF,rapidsai/cudf,cudf,,,gpu-utilities,,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37+00:00,2020-12-15 18:26:59+00:00,2020-12-15 15:22:26+00:00,463.0,545.0,2665.0,3535.0,,2020-12-10 17:28:54+00:00,0.17.0,5.0,cuDF - GPU DataFrame Library.,2.0,,197.0,20,https://pypi.org/project/cudf,2020-06-01 20:07:47+00:00,2.0,790.0,790.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n497,DeepMatcher,anhaidgroup/deepmatcher,deepmatcher,,,nlp,,https://github.com/anhaidgroup/deepmatcher,https://github.com/anhaidgroup/deepmatcher,BSD-3-Clause,2017-12-01 19:01:11+00:00,2020-09-27 17:25:56+00:00,2020-04-20 02:34:24+00:00,1247.0,47.0,15.0,3314.0,169.0,2019-12-30 19:49:33+00:00,0.1.1,9.0,Python package for performing Entity and Text Matching using Deep Learning.,9.0,9.0,7.0,20,https://pypi.org/project/deepmatcher,2019-12-30 19:49:33+00:00,,339.0,339.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n498,MindsDB,mindsdb/mindsdb,mindsdb,,,ml-frameworks,['pytorch'],https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,GPL-3.0,2018-08-02 17:56:45+00:00,2020-12-15 16:30:38+00:00,2020-12-11 12:36:29+00:00,401.0,36.0,451.0,3084.0,,2020-12-11 13:08:38+00:00,2.15.0,42.0,Predictive AI layer for existing databases.,3.0,,54.0,20,https://pypi.org/project/mindsdb,2019-03-19 05:07:23+00:00,3.0,1616.0,1616.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n499,TRFL,deepmind/trfl,trfl,,,reinforcement-learning,['tensorflow'],https://github.com/deepmind/trfl,https://github.com/deepmind/trfl,Apache-2.0,2018-08-08 14:44:11+00:00,2020-11-06 04:44:44+00:00,2020-04-20 13:05:56+00:00,362.0,4.0,16.0,3051.0,116.0,2020-04-20 14:11:57+00:00,1.1.0,4.0,TensorFlow Reinforcement Learning.,37.0,35.0,12.0,20,https://pypi.org/project/trfl,2020-04-20 14:11:57+00:00,2.0,799.0,799.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n500,AutoScraper,alirezamika/autoscraper,autoscraper,,,web-scraping,,https://github.com/alirezamika/autoscraper,https://github.com/alirezamika/autoscraper,MIT,2020-08-31 12:02:19+00:00,2020-12-15 09:03:03+00:00,2020-12-15 09:03:02+00:00,283.0,3.0,23.0,3044.0,124.0,2020-11-29 13:02:41+00:00,1.1.10,13.0,\"A Smart, Automatic, Fast and Lightweight Web Scraper for Python.\",14.0,14.0,6.0,20,https://pypi.org/project/autoscraper,2020-11-29 13:03:11+00:00,,803.0,803.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n501,Profiling,what-studio/profiling,profiling,,,system-monitoring,,https://github.com/what-studio/profiling,https://github.com/what-studio/profiling,BSD-3-Clause,2014-09-03 10:35:57+00:00,2020-08-24 01:31:58+00:00,2020-08-24 01:31:58+00:00,113.0,15.0,20.0,3001.0,433.0,2017-06-28 06:10:16+00:00,0.1.3,3.0,Was an interactive continuous Python profiler.,34.0,29.0,18.0,20,https://pypi.org/project/profiling,2017-06-28 06:10:16+00:00,5.0,2741.0,2741.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n502,DALI,NVIDIA/DALI,,,,gpu-utilities,,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01+00:00,2020-12-15 17:05:53+00:00,2020-12-14 21:39:12+00:00,355.0,173.0,570.0,2982.0,1634.0,2020-11-30 15:46:55+00:00,0.28.0,34.0,A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep..,,,53.0,20,,,,,,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n503,AdaBound,Luolc/AdaBound,adabound,,,pytorch-utils,['pytorch'],https://github.com/Luolc/AdaBound,https://github.com/Luolc/AdaBound,Apache-2.0,2019-02-15 18:05:20+00:00,2019-03-06 17:01:52+00:00,2019-03-06 17:01:45+00:00,317.0,16.0,7.0,2818.0,27.0,2019-03-06 16:44:42+00:00,0.0.5,4.0,An optimizer that trains as fast as Adam and as good as SGD.,97.0,91.0,2.0,20,https://pypi.org/project/adabound,2019-02-26 04:23:45+00:00,6.0,1178.0,1178.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,\n504,SHOGUN,shogun-toolbox/shogun,shogun-ml,,,ml-frameworks,,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32+00:00,2020-12-15 01:56:45+00:00,2020-12-08 16:56:38+00:00,1013.0,544.0,1068.0,2771.0,16205.0,2019-07-05 10:23:31+00:00,shogun_6.1.4,10.0,The Shogun Machine Learning Toolbox.,,,248.0,20,https://pypi.org/project/shogun-ml,2018-10-23 02:36:25.133000+00:00,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n505,FATE,FederatedAI/FATE,,,,privacy-ml,,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43+00:00,2020-12-15 13:24:09+00:00,2020-12-15 13:24:08+00:00,752.0,241.0,518.0,2613.0,6587.0,2020-11-13 13:36:14+00:00,1.5.0,24.0,An Industrial Grade Federated Learning Framework.,,,50.0,20,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n506,BytePS,bytedance/byteps,byteps,,,distributed-ml,,https://github.com/bytedance/byteps,https://github.com/bytedance/byteps,Apache-2.0,2019-06-25 07:00:13+00:00,2020-12-14 06:23:38+00:00,2020-12-06 21:02:44+00:00,356.0,68.0,128.0,2570.0,407.0,2020-08-27 15:42:13+00:00,0.2.4,7.0,A high performance and generic framework for distributed DNN training.,,,16.0,20,https://pypi.org/project/byteps,2020-11-04 00:05:46+00:00,,227.0,278.0,,,,True,3,,,,bytepsimage/tensorflow,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610+00:00,,923.0,,,,,,,,,,,,,,,\n507,StreamAlert,airbnb/streamalert,,,,others,,https://github.com/airbnb/streamalert,https://github.com/airbnb/streamalert,Apache-2.0,2017-01-22 01:10:56+00:00,2020-10-27 21:18:35+00:00,2020-10-05 21:15:11+00:00,281.0,90.0,247.0,2423.0,1892.0,2020-10-05 21:50:56+00:00,3.4.1,27.0,\"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data..\",,,30.0,20,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n508,finmarketpy,cuemacro/finmarketpy,finmarketpy,,,financial-data,,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03+00:00,2020-12-02 18:18:09+00:00,2020-12-02 18:18:01+00:00,411.0,21.0,3.0,2403.0,635.0,2020-10-20 09:25:52+00:00,0.11.7,8.0,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,3.0,3.0,13.0,20,https://pypi.org/project/finmarketpy,2020-10-20 09:28:00+00:00,,96.0,96.0,,,,True,3,39.0,,,,,,,,,,,,,,,,,,,,,,\n509,gpustat,wookayin/gpustat,gpustat,,,system-monitoring,,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43+00:00,2020-05-19 04:45:48+00:00,2020-05-19 04:45:47+00:00,180.0,18.0,44.0,2137.0,165.0,2019-07-22 06:37:00+00:00,0.6.0,10.0,A simple command-line utility for querying and monitoring GPU status.,571.0,513.0,10.0,20,https://pypi.org/project/gpustat,2019-07-22 06:17:48+00:00,58.0,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n510,DeepVariant,google/deepvariant,,bioconda/deepvariant,,medical-data,['tensorflow'],https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22+00:00,2020-12-14 23:35:28+00:00,2020-12-14 23:35:27+00:00,518.0,3.0,358.0,2136.0,1503.0,2020-12-07 17:56:31+00:00,1.1.0,15.0,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,,,19.0,20,,,,,80.0,https://anaconda.org/bioconda/deepvariant,,,True,3,2903.0,,,,,,,,,,,,,,,,,,,,,,\n511,TensorTrade,tensortrade-org/tensortrade,tensortrade,,,financial-data,,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32+00:00,2020-12-13 05:03:21+00:00,2020-09-17 13:33:31+00:00,524.0,33.0,106.0,1990.0,823.0,,,25.0,\"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.\",9.0,8.0,42.0,20,https://pypi.org/project/tensortrade,2020-08-24 18:26:46+00:00,1.0,675.0,675.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n512,Kashgari,BrikerMan/Kashgari,kashgari-tf,,,nlp,['tensorflow'],https://github.com/BrikerMan/Kashgari,https://github.com/BrikerMan/Kashgari,Apache-2.0,2019-01-19 01:53:28+00:00,2020-12-09 02:13:33+00:00,2020-10-29 08:08:00+00:00,368.0,29.0,296.0,1961.0,,2020-10-30 12:37:01+00:00,2.0.1,23.0,Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-..,20.0,19.0,19.0,20,https://pypi.org/project/kashgari-tf,2019-06-26 12:27:50+00:00,1.0,231.0,231.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n513,Coach,IntelLabs/coach,rl_coach,,,reinforcement-learning,,https://github.com/IntelLabs/coach,https://github.com/IntelLabs/coach,Apache-2.0,2017-10-01 19:27:43+00:00,2020-12-15 15:17:05+00:00,2020-12-15 08:02:16+00:00,374.0,80.0,181.0,1876.0,512.0,2019-10-10 14:17:10+00:00,1.0.1,13.0,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,1.0,,34.0,20,https://pypi.org/project/rl_coach,2019-10-10 14:17:10+00:00,1.0,158.0,158.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n514,PARL,PaddlePaddle/PARL,parl,,,reinforcement-learning,['paddle'],https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22+00:00,2020-12-15 11:52:21+00:00,2020-12-15 04:23:45+00:00,393.0,35.0,139.0,1720.0,1.0,2020-11-17 12:11:06+00:00,1.3.3,14.0,A high-performance distributed training framework for Reinforcement Learning.,65.0,65.0,20.0,20,https://pypi.org/project/parl,2020-11-17 12:11:06+00:00,,496.0,496.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n515,auto_ml,ClimbsRocks/auto_ml,auto_ml,,,hyperopt,,https://github.com/ClimbsRocks/auto_ml,https://github.com/ClimbsRocks/auto_ml,MIT,2016-08-07 21:35:08+00:00,2020-05-19 22:45:27+00:00,2018-03-25 19:46:25+00:00,283.0,176.0,215.0,1506.0,1149.0,2018-02-22 01:13:03+00:00,2.9.10,78.0,[UNMAINTAINED] Automated machine learning for analytics & production.,1.0,,13.0,20,https://pypi.org/project/auto_ml,2018-02-22 01:13:03+00:00,1.0,2113.0,2113.0,,,,False,3,33.0,,,,,,,,,,,,,,,,,,,,,,\n516,AmpliGraph,Accenture/AmpliGraph,ampligraph,,,graph,['tensorflow'],https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05+00:00,2020-08-25 17:19:24+00:00,2020-08-25 17:00:58+00:00,151.0,18.0,155.0,1382.0,895.0,2020-08-25 17:06:46+00:00,1.3.2,11.0,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,9.0,9.0,14.0,20,https://pypi.org/project/ampligraph,2020-08-25 16:59:58+00:00,,801.0,801.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n517,cleanlab,cgnorthcutt/cleanlab,cleanlab,,,others,,https://github.com/cgnorthcutt/cleanlab,https://github.com/cgnorthcutt/cleanlab,MIT,2018-05-11 01:55:21+00:00,2020-12-11 06:18:10+00:00,2020-12-11 06:18:09+00:00,147.0,16.0,35.0,1366.0,695.0,2020-02-17 07:33:06+00:00,0.1.1,15.0,The standard package for machine learning with noisy labels and finding mislabeled data in Python.,8.0,8.0,5.0,20,https://pypi.org/project/cleanlab,2020-02-17 07:33:06+00:00,,2105.0,2105.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n518,ThunderSVM,Xtra-Computing/thundersvm,thundersvm,,,ml-frameworks,,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04+00:00,2020-12-14 03:08:11+00:00,2020-12-14 03:08:11+00:00,163.0,41.0,144.0,1246.0,896.0,2020-03-13 12:36:30+00:00,0.3.12,9.0,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,,,33.0,20,https://pypi.org/project/thundersvm,2020-03-13 12:36:30+00:00,,372.0,413.0,,,,True,3,2051.0,,,,,,,,,,,,,,,,,,,,,,\n519,db.py,yhat/db.py,db.py,,,db-clients,,https://github.com/yhat/db.py,https://github.com/yhat/db.py,BSD-2-Clause,2014-10-26 15:36:57+00:00,2019-12-13 18:00:10+00:00,2017-03-31 14:41:30+00:00,110.0,32.0,21.0,1205.0,233.0,2017-03-31 14:41:57+00:00,0.5.3,35.0,db.py is an easier way to interact with your databases.,19.0,,24.0,20,https://pypi.org/project/db.py,2017-03-31 14:41:57+00:00,19.0,785.0,785.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n520,tensorrec,jfkirk/tensorrec,tensorrec,,,recommender-systems,['tensorflow'],https://github.com/jfkirk/tensorrec,https://github.com/jfkirk/tensorrec,Apache-2.0,2017-02-28 18:51:11+00:00,2020-07-30 02:47:12+00:00,2020-02-04 21:10:25+00:00,204.0,32.0,90.0,1112.0,334.0,2019-04-02 00:53:47+00:00,0.26.2,30.0,A TensorFlow recommendation algorithm and framework in Python.,22.0,21.0,8.0,20,https://pypi.org/project/tensorrec,2019-04-02 00:53:47+00:00,1.0,1033.0,1033.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n521,Karate Club,benedekrozemberczki/karateclub,karateclub,,,graph,,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56+00:00,2020-12-12 23:04:26+00:00,2020-12-12 23:04:20+00:00,128.0,,46.0,1078.0,2093.0,2020-12-01 21:11:27+00:00,_10022,95.0,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,17.0,17.0,11.0,20,https://pypi.org/project/karateclub,2020-12-01 21:08:09+00:00,,4848.0,4848.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,\n522,datatable,h2oai/datatable,datatable,,,data-containers,,https://github.com/h2oai/datatable,https://github.com/h2oai/datatable,MPL-2.0,2017-03-03 02:32:59+00:00,2020-12-15 18:36:04+00:00,2020-12-15 18:36:02+00:00,92.0,112.0,1098.0,1063.0,,2020-12-10 09:10:50+00:00,0.11.1,15.0,A Python package for manipulating 2-dimensional tabular data structures.,6.0,,28.0,20,https://pypi.org/project/datatable,2020-12-10 08:04:03+00:00,6.0,13190.0,13206.0,,,,True,3,679.0,,,,,,,,,,,,,,,,,,,,,,\n523,FARM,deepset-ai/FARM,farm,,,nlp,['pytorch'],https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12+00:00,2020-12-15 16:59:09+00:00,2020-12-14 13:59:24+00:00,144.0,32.0,274.0,1048.0,504.0,2020-10-30 16:51:53+00:00,0.5.0,19.0,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,1.0,,28.0,20,https://pypi.org/project/farm,2020-10-30 16:14:35+00:00,1.0,7091.0,7091.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n524,Classy Vision,facebookresearch/ClassyVision,classy_vision,conda-forge/classy_vision,,image,['pytorch'],https://github.com/facebookresearch/ClassyVision,https://github.com/facebookresearch/ClassyVision,MIT,2019-09-13 22:54:44+00:00,2020-12-15 07:30:00+00:00,2020-12-15 07:29:55+00:00,177.0,46.0,39.0,983.0,307.0,2020-11-20 16:42:56+00:00,0.5.0,15.0,An end-to-end PyTorch framework for image and video classification.,,,47.0,20,https://pypi.org/project/classy_vision,2020-11-20 21:02:29+00:00,,694.0,694.0,https://anaconda.org/conda-forge/classy_vision,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n525,Sockeye,awslabs/sockeye,sockeye,,,nlp,['mxnet'],https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30+00:00,2020-12-14 11:06:21+00:00,2020-12-14 11:06:20+00:00,287.0,18.0,217.0,977.0,729.0,2020-11-18 13:41:36+00:00,2.3.2,59.0,Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet.,2.0,,52.0,20,https://pypi.org/project/sockeye,2020-11-05 14:07:57+00:00,2.0,650.0,650.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n526,TensorNets,taehoonlee/tensornets,tensornets,,,tensorflow-utils,['tensorflow'],https://github.com/taehoonlee/tensornets,https://github.com/taehoonlee/tensornets,MIT,2017-09-19 05:19:01+00:00,2020-10-03 09:19:27+00:00,2020-10-03 09:19:17+00:00,181.0,14.0,42.0,962.0,283.0,2020-03-31 04:38:27+00:00,0.4.6,12.0,High level network definitions with pre-trained weights in TensorFlow.,29.0,27.0,6.0,20,https://pypi.org/project/tensornets,2020-03-31 04:35:15+00:00,2.0,296.0,296.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n527,geoplotlib,andrea-cuttone/geoplotlib,geoplotlib,,,geospatial-data,,https://github.com/andrea-cuttone/geoplotlib,https://github.com/andrea-cuttone/geoplotlib,MIT,2015-02-24 13:13:07+00:00,2020-04-10 20:00:31+00:00,2019-05-06 07:06:50+00:00,142.0,23.0,18.0,884.0,159.0,2016-07-27 14:55:01+00:00,0.3.2,4.0,python toolbox for visualizing geographical data and making maps.,93.0,84.0,8.0,20,https://pypi.org/project/geoplotlib,2016-07-27 14:55:01+00:00,9.0,1604.0,1604.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n528,Haiku,deepmind/dm-haiku,,,,ml-frameworks,,https://github.com/deepmind/dm-haiku,https://github.com/deepmind/dm-haiku,Apache-2.0,2020-02-18 07:14:02+00:00,2020-12-14 19:30:49+00:00,2020-12-14 19:30:10+00:00,56.0,18.0,44.0,850.0,422.0,2020-11-24 11:25:05+00:00,0.0.3,5.0,JAX-based neural network library.,49.0,49.0,32.0,20,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n529,Paddle Graph Learning,PaddlePaddle/PGL,pgl,,,graph,['paddle'],https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28+00:00,2020-12-14 07:02:54+00:00,2020-12-14 07:02:53+00:00,109.0,14.0,26.0,839.0,349.0,2020-11-20 06:23:47+00:00,1.2.1,6.0,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,10.0,9.0,17.0,20,https://pypi.org/project/pgl,2020-11-20 06:23:47+00:00,1.0,948.0,948.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n530,Fiber,uber/fiber,fiber,,,distributed-ml,,https://github.com/uber/fiber,https://github.com/uber/fiber,Apache-2.0,2020-01-07 18:16:24+00:00,2020-10-06 14:39:41+00:00,2020-10-06 14:39:12+00:00,85.0,11.0,5.0,827.0,60.0,2020-07-09 03:28:28+00:00,0.2.1,6.0,Distributed Computing for AI Made Simple.,18.0,17.0,5.0,20,https://pypi.org/project/fiber,2020-07-09 03:28:28+00:00,1.0,1796.0,1796.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n531,tf-explain,sicara/tf-explain,tf-explain,,,interpretability,['tensorflow'],https://github.com/sicara/tf-explain,https://github.com/sicara/tf-explain,MIT,2019-07-15 08:26:24+00:00,2020-11-03 07:30:20+00:00,2020-07-24 08:03:58+00:00,66.0,33.0,41.0,742.0,192.0,2020-02-14 09:00:00+00:00,0.2.1,6.0,Interpretability Methods for tf.keras models with Tensorflow 2.x.,56.0,55.0,11.0,20,https://pypi.org/project/tf-explain,2020-02-14 09:04:51+00:00,1.0,1091.0,1091.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n532,iNNvestigate,albermax/innvestigate,innvestigate,,,interpretability,['keras'],https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20+00:00,2020-11-14 11:35:59+00:00,2020-10-16 15:26:56+00:00,168.0,71.0,125.0,734.0,882.0,2019-03-19 14:31:31+00:00,1.0.9,2.0,A toolbox to iNNvestigate neural networks' predictions!.,41.0,40.0,18.0,20,https://pypi.org/project/innvestigate,2020-11-14 11:35:59+00:00,1.0,579.0,579.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n533,keras-ocr,faustomorales/keras-ocr,keras-ocr,,,ocr,,https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50+00:00,2020-12-11 02:31:17+00:00,2020-11-26 17:18:25+00:00,161.0,25.0,94.0,722.0,161.0,2020-11-26 17:19:39+00:00,0.8.6,26.0,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,1.0,,9.0,20,https://pypi.org/project/keras-ocr,2020-11-26 17:19:39+00:00,1.0,1986.0,5208.0,,,,True,3,9666.0,,,,,,,,,,,,,,,,,,,,,,\n534,YouTokenToMe,vkcom/youtokentome,youtokentome,,,nlp,,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28+00:00,2020-10-01 23:24:11+00:00,2020-02-13 09:49:37+00:00,42.0,21.0,20.0,697.0,76.0,2020-02-13 09:57:47+00:00,1.0.6,14.0,Unsupervised text tokenizer focused on computational efficiency.,94.0,88.0,6.0,20,https://pypi.org/project/youtokentome,2020-02-12 18:24:46+00:00,6.0,7141.0,7141.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n535,Madmom,CPJKU/madmom,madmom,,,audio,,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06+00:00,2020-04-14 03:42:18+00:00,2019-12-19 14:46:37+00:00,114.0,43.0,176.0,687.0,1722.0,2018-11-14 14:57:41+00:00,0.16.1,11.0,Python audio and music signal processing library.,117.0,109.0,19.0,20,https://pypi.org/project/madmom,2018-11-14 14:56:22+00:00,8.0,1054.0,1054.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n536,Opacus,pytorch/opacus,opacus,,,privacy-ml,['pytorch'],https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09+00:00,2020-12-13 05:00:59+00:00,2020-12-09 23:42:58+00:00,83.0,9.0,45.0,681.0,186.0,2020-11-21 20:55:19+00:00,0.10.1,5.0,Training PyTorch models with differential privacy.,9.0,9.0,23.0,20,https://pypi.org/project/opacus,2020-11-21 20:55:50+00:00,,844.0,847.0,,,,True,3,26.0,,,,,,,,,,,,,,,,,,,,,,\n537,Darts,unit8co/darts,u8darts,,,time-series-data,,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28+00:00,2020-12-15 13:12:30+00:00,2020-11-09 15:33:02+00:00,78.0,15.0,37.0,668.0,284.0,2020-11-09 16:00:41+00:00,0.5.0,8.0,A python library for easy manipulation and forecasting of time series.,9.0,9.0,23.0,20,https://pypi.org/project/u8darts,2020-11-09 16:00:41+00:00,,869.0,871.0,,,,True,3,,,,unit8/darts,https://hub.docker.com/r/unit8/darts,2020-10-06 11:35:55.085411+00:00,,75.0,,,,,,,,,,,,,,,\n538,mlens,flennerhag/mlens,mlens,,,others,,https://github.com/flennerhag/mlens,https://github.com/flennerhag/mlens,MIT,2017-01-10 20:53:47+00:00,2020-02-25 14:32:48+00:00,2020-02-25 14:31:53+00:00,81.0,8.0,73.0,664.0,879.0,2018-10-30 22:34:35+00:00,0.2.3,14.0,ML-Ensemble high performance ensemble learning.,92.0,92.0,7.0,20,https://pypi.org/project/mlens,2018-10-30 22:30:43+00:00,,1458.0,1458.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n539,TabNet,dreamquark-ai/tabnet,pytorch-tabnet,,,pytorch-utils,['pytorch'],https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32+00:00,2020-12-15 13:22:58+00:00,2020-12-15 12:44:06+00:00,127.0,30.0,90.0,662.0,158.0,2020-12-15 12:44:24+00:00,3.0.0,15.0,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,,,16.0,20,https://pypi.org/project/pytorch-tabnet,2020-12-15 12:44:24+00:00,,8548.0,8548.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n540,NeuPy,itdxer/neupy,neupy,,,ml-frameworks,,https://github.com/itdxer/neupy,https://github.com/itdxer/neupy,MIT,2015-08-24 19:45:11+00:00,2020-01-15 08:04:33+00:00,2019-09-02 19:02:38+00:00,143.0,26.0,229.0,657.0,1145.0,2019-04-04 19:44:59+00:00,0.8.2,34.0,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,107.0,97.0,6.0,20,https://pypi.org/project/neupy,2019-04-04 19:43:06+00:00,10.0,896.0,896.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n541,NearPy,pixelogik/NearPy,NearPy,,,nn-search,,https://github.com/pixelogik/NearPy,https://github.com/pixelogik/NearPy,MIT,2013-04-25 09:10:26+00:00,2020-02-17 20:24:08+00:00,2018-10-21 17:54:28+00:00,135.0,21.0,38.0,656.0,159.0,2016-09-27 13:04:44+00:00,1.0.0,8.0,\"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..\",62.0,47.0,18.0,20,https://pypi.org/project/NearPy,2016-09-27 13:03:12+00:00,15.0,1919.0,1919.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n542,RecBole,RUCAIBox/RecBole,recbole,aibox/recbole,,recommender-systems,['pytorch'],https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11+00:00,2020-12-15 10:23:02+00:00,2020-12-15 10:23:00+00:00,84.0,15.0,11.0,639.0,2179.0,2020-12-06 08:33:29+00:00,0.1.2,3.0,\"A unified, comprehensive and efficient recommendation library.\",,,21.0,20,https://pypi.org/project/recbole,2020-12-06 08:38:29+00:00,,199.0,199.0,https://anaconda.org/aibox/recbole,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n543,TensorBoard Logger,TeamHG-Memex/tensorboard_logger,tensorboard_logger,,,ml-experiments,,https://github.com/TeamHG-Memex/tensorboard_logger,https://github.com/TeamHG-Memex/tensorboard_logger,MIT,2016-10-27 14:02:25+00:00,2020-10-27 20:51:06+00:00,2019-10-21 07:52:07+00:00,53.0,9.0,15.0,609.0,46.0,2018-02-08 07:28:51+00:00,0.1.0,5.0,Log TensorBoard events without touching TensorFlow.,42.0,,5.0,20,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51+00:00,42.0,52342.0,52342.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n544,pdpipe,pdpipe/pdpipe,pdpipe,,,data-pipelines,['pandas'],https://github.com/pdpipe/pdpipe,https://github.com/pdpipe/pdpipe,MIT,2017-01-24 20:37:22+00:00,2020-11-17 08:57:21+00:00,2020-11-17 08:57:20+00:00,29.0,6.0,14.0,574.0,341.0,2020-11-09 09:32:37+00:00,0.0.53,49.0,Easy pipelines for pandas DataFrames.,21.0,21.0,8.0,20,https://pypi.org/project/pdpipe,2020-11-09 09:32:37+00:00,,929.0,929.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n545,torch-scatter,rusty1s/pytorch_scatter,torch-scatter,,,pytorch-utils,['pytorch'],https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23+00:00,2020-12-11 20:40:45+00:00,2020-12-01 08:40:47+00:00,70.0,55.0,101.0,555.0,803.0,2020-06-24 09:29:12+00:00,2.0.5,24.0,PyTorch Extension Library of Optimized Scatter Operations.,16.0,,13.0,20,https://pypi.org/project/torch-scatter,2020-02-22 16:51:10+00:00,16.0,4515.0,4515.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n546,Mapbox GL,mapbox/mapboxgl-jupyter,mapboxgl,,,geospatial-data,['jupyter'],https://github.com/mapbox/mapboxgl-jupyter,https://github.com/mapbox/mapboxgl-jupyter,MIT,2017-08-08 15:10:51+00:00,2019-12-13 22:49:07+00:00,2019-12-03 21:57:25+00:00,117.0,34.0,67.0,549.0,220.0,2019-06-03 21:24:10+00:00,0.10.2,20.0,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,101.0,83.0,20.0,20,https://pypi.org/project/mapboxgl,2019-06-02 15:18:57+00:00,18.0,7102.0,7102.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n547,gazpacho,maxhumber/gazpacho,gazpacho,,,web-scraping,,https://github.com/maxhumber/gazpacho,https://github.com/maxhumber/gazpacho,MIT,2019-09-23 20:21:55+00:00,2020-10-31 18:03:20+00:00,2020-10-31 18:03:19+00:00,46.0,3.0,29.0,497.0,142.0,2020-10-09 12:51:41+00:00,1.1,18.0,\"The simple, fast, and modern web scraping library.\",75.0,73.0,13.0,20,https://pypi.org/project/gazpacho,2020-09-24 17:50:19+00:00,2.0,1776.0,1776.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n548,N2,kakao/n2,n2,,,nn-search,,https://github.com/kakao/n2,https://github.com/kakao/n2,Apache-2.0,2017-11-23 02:27:59+00:00,2020-10-21 05:15:27+00:00,2020-10-21 05:14:11+00:00,51.0,17.0,20.0,441.0,242.0,2020-10-16 03:43:47+00:00,0.1.7,8.0,TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets.,14.0,12.0,17.0,20,https://pypi.org/project/n2,2020-10-16 02:48:11+00:00,2.0,503.0,503.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n549,pivottablejs,nicolaskruchten/jupyter_pivottablejs,pivottablejs,,,data-viz,['jupyter'],https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,MIT,2015-09-09 13:39:18+00:00,2018-12-04 14:43:26+00:00,2018-12-04 14:43:25+00:00,53.0,16.0,37.0,407.0,32.0,2018-01-15 18:14:37+00:00,0.9.0,10.0,\"Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js.\",143.0,129.0,3.0,20,https://pypi.org/project/pivottablejs,2018-01-15 18:14:37+00:00,14.0,9204.0,9204.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n550,PyWaffle,gyli/PyWaffle,pywaffle,,,data-viz,,https://github.com/gyli/PyWaffle,https://github.com/gyli/PyWaffle,MIT,2017-11-14 20:03:47+00:00,2020-07-26 23:22:17+00:00,2020-07-26 23:22:13+00:00,59.0,2.0,10.0,367.0,249.0,2020-07-26 19:16:45+00:00,0.6.1,22.0,Make Waffle Charts in Python.,37.0,37.0,6.0,20,https://pypi.org/project/pywaffle,2020-07-26 19:16:45+00:00,,1430.0,1430.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n551,BioPandas,rasbt/biopandas,biopandas,conda-forge/biopandas,,others,['pandas'],https://github.com/rasbt/biopandas,https://github.com/rasbt/biopandas,BSD-3-Clause,2015-11-21 00:00:14+00:00,2020-11-09 18:19:23+00:00,2020-11-09 18:19:22+00:00,74.0,16.0,18.0,309.0,142.0,2020-08-04 13:52:27+00:00,0.2.7,11.0,Working with molecular structures in pandas DataFrames.,49.0,46.0,7.0,20,https://pypi.org/project/biopandas,2020-08-04 13:49:59+00:00,3.0,375.0,375.0,https://anaconda.org/conda-forge/biopandas,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n552,MedPy,loli/medpy,MedPy,,,medical-data,,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34+00:00,2020-05-01 15:25:39+00:00,2020-05-01 15:25:38+00:00,105.0,8.0,65.0,306.0,324.0,2019-02-14 17:12:59+00:00,0.4.0,6.0,Medical image processing in Python.,212.0,205.0,13.0,20,https://pypi.org/project/MedPy,2019-02-14 17:12:59+00:00,7.0,3238.0,3238.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n553,Labml,lab-ml/labml,labml,,,ml-experiments,,https://github.com/lab-ml/labml,https://github.com/lab-ml/labml,MIT,2018-11-16 09:34:48+00:00,2020-12-13 04:36:55+00:00,2020-12-13 04:36:55+00:00,25.0,,6.0,301.0,827.0,2020-12-08 08:19:57+00:00,0.4.65,46.0,Monitor PyTorch & TensorFlow model training on mobile phones.,18.0,18.0,5.0,20,https://pypi.org/project/labml,2020-12-08 08:19:57+00:00,0.0,556.0,556.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n554,Submit it,facebookincubator/submitit,submitit,conda-forge/submitit,,distributed-ml,,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09+00:00,2020-12-11 22:17:21+00:00,2020-12-04 13:12:27+00:00,16.0,8.0,12.0,264.0,33.0,2020-11-19 12:53:49+00:00,1.1.5,8.0,Python 3.6+ toolbox for submitting jobs to Slurm.,67.0,67.0,8.0,20,https://pypi.org/project/submitit,2020-12-01 08:14:16+00:00,0.0,1447.0,1447.0,https://anaconda.org/conda-forge/submitit,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n555,AutoViz,AutoViML/AutoViz,autoviz,,,data-viz,,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06+00:00,2020-12-10 02:33:19+00:00,2020-12-10 02:30:26+00:00,54.0,3.0,16.0,263.0,96.0,2020-12-10 02:33:19+00:00,0.0.81,26.0,\"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..\",24.0,24.0,10.0,20,https://pypi.org/project/autoviz,2020-12-10 02:33:19+00:00,,1363.0,1363.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n556,recmetrics,statisticianinstilettos/recmetrics,recmetrics,,,recommender-systems,,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49+00:00,2020-12-03 21:21:02+00:00,2020-12-03 21:21:00+00:00,52.0,7.0,7.0,216.0,233.0,2019-02-10 16:12:38+00:00,0.0.9,11.0,A library of metrics for evaluating recommender systems.,13.0,13.0,12.0,20,https://pypi.org/project/recmetrics,2019-02-10 16:12:38+00:00,,1376.0,1376.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n557,StaticFrame,InvestmentSystems/static-frame,static-frame,conda-forge/static-frame,,data-containers,,https://github.com/InvestmentSystems/static-frame,https://github.com/InvestmentSystems/static-frame,MIT,2018-01-03 15:07:52+00:00,2020-12-15 01:26:53+00:00,2020-12-15 01:21:19+00:00,20.0,30.0,229.0,205.0,2124.0,2020-12-14 17:20:49+00:00,0.7.8,90.0,\"The StaticFrame library defines the Series and Frame, immutable data structures for one- and two-dimensional..\",5.0,5.0,14.0,20,https://pypi.org/project/static-frame,2020-12-01 04:29:56+00:00,,2638.0,2638.0,https://anaconda.org/conda-forge/static-frame,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n558,stop-words,Alir3z4/python-stop-words,stop-words,,,nlp,,https://github.com/Alir3z4/python-stop-words,https://github.com/Alir3z4/python-stop-words,BSD-3-Clause,2014-05-26 06:44:03+00:00,2019-10-16 15:01:43+00:00,2018-07-23 21:04:09+00:00,19.0,3.0,9.0,120.0,90.0,2018-07-23 20:58:34+00:00,2018.7.23,8.0,Get list of common stop words in various languages in Python.,1225.0,1021.0,8.0,20,https://pypi.org/project/stop-words,2018-07-23 20:55:55+00:00,204.0,44197.0,44197.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n559,cortex,cortexlabs/cortex,,,,model-serialisation,,https://github.com/cortexlabs/cortex,https://github.com/cortexlabs/cortex,Apache-2.0,2019-01-24 04:43:14+00:00,2020-12-15 17:30:02+00:00,2020-12-15 16:22:02+00:00,531.0,210.0,629.0,7038.0,1694.0,2020-12-13 05:18:57+00:00,0.24.1,42.0,Run inference at scale.,,,17.0,19,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n560,graph-nets,deepmind/graph_nets,graph-nets,,,graph,['tensorflow'],https://github.com/deepmind/graph_nets,https://github.com/deepmind/graph_nets,Apache-2.0,2018-08-31 08:19:28+00:00,2020-12-04 17:43:48+00:00,2020-12-04 17:43:47+00:00,707.0,13.0,99.0,4681.0,47.0,2020-01-29 16:00:25+00:00,1.1.0,7.0,Build Graph Nets in Tensorflow.,7.0,,11.0,19,https://pypi.org/project/graph-nets,2020-01-29 16:00:25+00:00,7.0,827.0,827.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n561,Qlib,microsoft/qlib,pyqlib,,,financial-data,['pytorch'],https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00+00:00,2020-12-15 15:47:58+00:00,2020-12-15 13:24:29+00:00,393.0,34.0,24.0,2689.0,,2020-12-12 09:59:16+00:00,0.6.1,15.0,\"Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research,..\",,,23.0,19,https://pypi.org/project/pyqlib,2020-12-12 09:59:16+00:00,,1423.0,1465.0,,,,True,3,126.0,,,,,,,,,,,,,,,,,,,,,,\n562,MMLSpark,Azure/mmlspark,,,,distributed-ml,['spark'],https://github.com/Azure/mmlspark,https://github.com/Azure/mmlspark,MIT,2017-06-05 08:23:44+00:00,2020-12-11 15:17:54+00:00,2020-12-03 17:05:17+00:00,467.0,171.0,212.0,2212.0,760.0,2020-10-02 19:36:01+00:00,1.0.0-rc3,17.0,Microsoft Machine Learning for Apache Spark.,,,61.0,19,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n563,cuML,rapidsai/cuml,cuml,,,gpu-utilities,,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35+00:00,2020-12-15 17:57:55+00:00,2020-12-14 21:37:27+00:00,294.0,629.0,854.0,1828.0,,2020-12-10 21:50:49+00:00,0.17.0,5.0,cuML - RAPIDS Machine Learning Library.,,,118.0,19,https://pypi.org/project/cuml,2019-04-11 16:57:48+00:00,,413.0,413.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n564,Hummingbird,microsoft/hummingbird,hummingbird-ml,,,model-serialisation,,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03+00:00,2020-12-15 18:19:08+00:00,2020-12-15 18:02:43+00:00,140.0,45.0,120.0,1820.0,,2020-10-30 21:47:05+00:00,0.1.0,7.0,Hummingbird compiles trained ML models into tensor computation for faster inference.,12.0,12.0,17.0,19,https://pypi.org/project/hummingbird-ml,2020-10-30 21:45:47+00:00,,654.0,665.0,,,,True,3,81.0,,,,,,,,,,,,,,,,,,,,,,\n565,riko,nerevu/riko,riko,,,data-pipelines,,https://github.com/nerevu/riko,https://github.com/nerevu/riko,MIT,2016-06-02 12:22:51+00:00,2020-08-14 18:29:28+00:00,2020-08-14 16:47:45+00:00,70.0,22.0,8.0,1543.0,1257.0,2020-08-14 18:29:28+00:00,0.66.0,58.0,A Python stream processing engine modeled after Yahoo! Pipes.,1.0,,18.0,19,https://pypi.org/project/riko,2020-08-14 18:29:28+00:00,1.0,404.0,404.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n566,HiPlot,facebookresearch/hiplot,hiplot,conda-forge/hiplot,,data-viz,,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41+00:00,2020-12-14 09:40:01+00:00,2020-12-14 09:33:05+00:00,81.0,4.0,41.0,1490.0,103.0,2020-11-27 09:52:56+00:00,0.1.21,32.0,HiPlot makes understanding high dimensional data easy.,2.0,2.0,4.0,19,https://pypi.org/project/hiplot,2020-11-30 11:40:56+00:00,,3474.0,3474.0,https://anaconda.org/conda-forge/hiplot,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n567,DLTK,DLTK/DLTK,dltk,,,medical-data,['tensorflow'],https://github.com/DLTK/DLTK,https://github.com/DLTK/DLTK,Apache-2.0,2017-05-02 15:40:36+00:00,2020-11-13 17:17:16+00:00,2019-01-21 14:01:28+00:00,377.0,7.0,24.0,1229.0,379.0,,,5.0,Deep Learning Toolkit for Medical Image Analysis.,17.0,17.0,9.0,19,https://pypi.org/project/dltk,2018-02-26 17:43:57+00:00,,107.0,107.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n568,doc2text,jlsutherland/doc2text,doc2text,,,ocr,,https://github.com/jlsutherland/doc2text,https://github.com/jlsutherland/doc2text,MIT,2016-08-28 19:30:02+00:00,2020-12-01 22:56:27+00:00,2020-12-01 22:56:26+00:00,91.0,12.0,9.0,1222.0,62.0,2016-09-06 21:59:21+00:00,0.2.4,5.0,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,31.0,31.0,5.0,19,https://pypi.org/project/doc2text,2016-09-06 21:59:21+00:00,,275.0,275.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n569,Sweetviz,fbdesignpro/sweetviz,sweetviz,,,data-viz,,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47+00:00,2020-12-10 14:32:35+00:00,2020-12-10 14:30:47+00:00,132.0,21.0,40.0,1162.0,77.0,2020-12-10 14:32:35+00:00,2.0.4,22.0,\"Visualize and compare datasets, target values and associations, with one line of code.\",,,6.0,19,https://pypi.org/project/sweetviz,2020-12-10 14:32:35+00:00,,6721.0,6721.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n570,TaskTiger,closeio/tasktiger,tasktiger,,,data-pipelines,,https://github.com/closeio/tasktiger,https://github.com/closeio/tasktiger,MIT,2015-05-14 00:26:32+00:00,2020-12-15 15:56:23+00:00,2020-12-10 12:51:04+00:00,58.0,30.0,31.0,1035.0,248.0,2019-10-29 19:32:58+00:00,0.10.1,22.0,Python task queue using Redis.,28.0,19.0,19.0,19,https://pypi.org/project/tasktiger,2020-06-18 22:08:56+00:00,9.0,323.0,323.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n571,Skater,oracle/Skater,skater,,,interpretability,,https://github.com/oracle/Skater,https://github.com/oracle/Skater,UPL-1.0,2017-01-26 05:45:42+00:00,2020-06-29 20:07:14+00:00,2020-06-29 20:07:12+00:00,156.0,62.0,97.0,953.0,1101.0,2018-09-21 07:03:32+00:00,1.1.2,23.0,Python Library for Model Interpretation/Explanations.,,,34.0,19,https://pypi.org/project/skater,2018-09-21 07:03:32+00:00,,7128.0,7128.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n572,gplearn,trevorstephens/gplearn,gplearn,,,others,['sklearn'],https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14+00:00,2020-02-15 08:12:38+00:00,2020-02-15 08:12:17+00:00,148.0,26.0,114.0,894.0,146.0,2019-06-01 02:04:52+00:00,0.4.1,5.0,\"Genetic Programming in Python, with a scikit-learn inspired API.\",118.0,111.0,10.0,19,https://pypi.org/project/gplearn,2019-06-01 02:04:52+00:00,7.0,1221.0,1221.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n573,Databolt Flow,d6t/d6tflow,d6tflow,,,data-pipelines,,https://github.com/d6t/d6tflow,https://github.com/d6t/d6tflow,MIT,2019-02-03 01:51:22+00:00,2020-12-07 23:05:27+00:00,2020-12-07 23:05:24+00:00,62.0,5.0,11.0,887.0,97.0,2020-10-19 04:14:45+00:00,0.2.1,18.0,Python library for building highly effective data science workflows.,12.0,12.0,9.0,19,https://pypi.org/project/d6tflow,2020-10-19 04:14:45+00:00,,207.0,207.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n574,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,pytorch_toolbelt,,,pytorch-utils,['pytorch'],https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49+00:00,2020-12-09 12:08:20+00:00,2020-12-09 12:08:16+00:00,71.0,3.0,14.0,865.0,489.0,2020-08-19 10:33:17+00:00,0.4.0,18.0,PyTorch extensions for fast R&D prototyping and Kaggle farming.,1.0,,4.0,19,https://pypi.org/project/pytorch_toolbelt,2020-08-19 10:33:17+00:00,1.0,2865.0,2865.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n575,TensorFrames,databricks/tensorframes,tensorframes,,,distributed-ml,\"['tensorflow', 'spark']\",https://github.com/databricks/tensorframes,https://github.com/databricks/tensorframes,Apache-2.0,2016-03-04 19:25:19+00:00,2020-11-13 17:47:02+00:00,2019-11-15 21:43:53+00:00,160.0,51.0,43.0,768.0,221.0,2018-11-16 20:50:02+00:00,0.6.0,6.0,[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark.,,,16.0,19,https://pypi.org/project/tensorframes,2018-05-16 14:20:28+00:00,,6618.0,6618.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n576,Test Tube,williamFalcon/test-tube,test_tube,,,hyperopt,,https://github.com/williamFalcon/test-tube,https://github.com/williamFalcon/test-tube,MIT,2017-09-06 02:14:57+00:00,2020-04-11 20:36:36+00:00,2020-03-17 22:44:47+00:00,59.0,22.0,21.0,639.0,642.0,2019-12-01 00:47:35+00:00,0.7.4,53.0,Python library to easily log experiments and parallelize hyperparameter search for neural networks.,5.0,,16.0,19,https://pypi.org/project/test_tube,2018-12-12 22:45:59+00:00,5.0,8526.0,8526.0,,,,True,3,7.0,,,,,,,,,,,,,,,,,,,,,,\n577,finetune,IndicoDataSolutions/finetune,finetune,,,nlp,\"['tensorflow', 'sklearn']\",https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16+00:00,2020-12-06 17:48:34+00:00,2020-11-24 13:38:51+00:00,68.0,18.0,115.0,629.0,1201.0,2019-11-07 19:42:32+00:00,0.8.6,37.0,Scikit-learn style model finetuning for NLP.,9.0,7.0,18.0,19,https://pypi.org/project/finetune,2020-01-10 22:42:24+00:00,2.0,188.0,188.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n578,NGT,yahoojapan/NGT,ngt,,,nn-search,,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57+00:00,2020-11-17 22:33:08+00:00,2020-11-17 22:32:45+00:00,67.0,7.0,66.0,601.0,113.0,2020-08-19 04:31:59+00:00,1.12.2,45.0,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,3.0,,10.0,19,https://pypi.org/project/ngt,2020-09-23 06:52:45+00:00,3.0,3074.0,3074.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n579,PFRL,pfnet/pfrl,pfrl,,,reinforcement-learning,,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50+00:00,2020-12-14 07:07:53+00:00,2020-12-14 07:07:52+00:00,56.0,22.0,18.0,450.0,261.0,2020-07-29 02:03:39+00:00,0.1.0,2.0,PFRL: a PyTorch-based deep reinforcement learning library.,4.0,4.0,9.0,19,https://pypi.org/project/pfrl,2020-07-29 01:14:39+00:00,,645.0,645.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n580,HpBandSter,automl/HpBandSter,hpbandster,,,hyperopt,,https://github.com/automl/HpBandSter,https://github.com/automl/HpBandSter,BSD-3-Clause,2017-12-17 20:28:20+00:00,2020-09-06 09:54:54+00:00,2019-03-26 09:26:28+00:00,90.0,53.0,34.0,428.0,187.0,2019-07-30 12:47:43+00:00,1.0,6.0,a distributed Hyperband implementation on Steroids.,115.0,99.0,10.0,19,https://pypi.org/project/hpbandster,2018-10-24 09:31:01+00:00,16.0,6590.0,6590.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n581,Poutyne,GRAAL-Research/poutyne,poutyne,,,pytorch-utils,['pytorch'],https://github.com/GRAAL-Research/poutyne,https://github.com/GRAAL-Research/poutyne,LGPL-3.0,2017-12-07 18:30:17+00:00,2020-12-11 21:55:50+00:00,2020-12-11 21:54:42+00:00,47.0,12.0,33.0,418.0,466.0,2020-11-14 19:02:29+00:00,1.1,17.0,A simplified framework and utilities for PyTorch.,47.0,45.0,15.0,19,https://pypi.org/project/poutyne,2020-11-14 18:24:19+00:00,2.0,427.0,427.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n582,seglearn,dmbee/seglearn,seglearn,,,time-series-data,,https://github.com/dmbee/seglearn,https://github.com/dmbee/seglearn,BSD-3-Clause,2018-03-05 20:53:59+00:00,2020-11-08 14:51:01+00:00,2020-11-08 14:45:42+00:00,45.0,6.0,17.0,406.0,264.0,2020-04-02 15:26:06+00:00,1.2.1,20.0,Python module for machine learning time series:.,7.0,6.0,13.0,19,https://pypi.org/project/seglearn,2020-04-02 15:26:06+00:00,1.0,3356.0,3356.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n583,Feature Engine,solegalli/feature_engine,feature_engine,conda-forge/feature_engine,,others,,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2018-12-31 01:47:18+00:00,2020-12-14 15:15:36+00:00,2020-12-14 15:15:09+00:00,118.0,25.0,60.0,390.0,90.0,2020-09-21 11:05:42+00:00,0.6.1,22.0,Feature engineering package with sklearn like functionality.,1.0,,18.0,19,https://pypi.org/project/feature_engine,2020-09-21 11:05:42+00:00,1.0,15548.0,15548.0,https://anaconda.org/conda-forge/feature_engine,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n584,MXBoard,awslabs/mxboard,mxboard,,,ml-experiments,['mxnet'],https://github.com/awslabs/mxboard,https://github.com/awslabs/mxboard,Apache-2.0,2018-02-06 23:03:51+00:00,2020-01-24 23:21:56+00:00,2020-01-24 23:21:55+00:00,46.0,16.0,15.0,329.0,42.0,2018-05-22 20:25:51+00:00,0.1.0,12.0,Logging MXNet data for visualization in TensorBoard.,89.0,88.0,9.0,19,https://pypi.org/project/mxboard,2018-05-22 20:25:51+00:00,1.0,2326.0,2326.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n585,Sherpa,sherpa-ai/sherpa,parameter-sherpa,,,hyperopt,,https://github.com/sherpa-ai/sherpa,https://github.com/sherpa-ai/sherpa,GPL-3.0,2018-05-16 21:41:54+00:00,2020-10-18 07:57:50+00:00,2020-10-18 07:57:48+00:00,41.0,11.0,41.0,275.0,823.0,2020-07-31 05:29:09+00:00,1.0.7,8.0,\"Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.\",8.0,7.0,41.0,19,https://pypi.org/project/parameter-sherpa,2019-11-23 21:32:27+00:00,1.0,557.0,557.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n586,PyKEEN,SmartDataAnalytics/PyKEEN,pykeen,,,graph,,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2018-06-06 15:00:23+00:00,2020-12-15 16:33:31+00:00,2020-12-15 16:11:26+00:00,39.0,30.0,57.0,266.0,2249.0,2020-10-21 11:59:14+00:00,1.0.5,31.0,A Python library for learning and evaluating knowledge graph embeddings.,1.0,,17.0,19,https://pypi.org/project/pykeen,2020-08-25 14:33:23+00:00,1.0,273.0,277.0,,,,True,3,28.0,,,,,,,,,,,,,,,,,,,,,,\n587,textpipe,textpipe/textpipe,textpipe,,,nlp,,https://github.com/textpipe/textpipe,https://github.com/textpipe/textpipe,MIT,2018-06-21 16:23:32+00:00,2020-12-14 09:08:31+00:00,2020-10-12 08:19:03+00:00,17.0,20.0,24.0,260.0,366.0,2020-10-12 08:24:19+00:00,0.12.1,38.0,Textpipe: clean and extract metadata from text.,7.0,6.0,27.0,19,https://pypi.org/project/textpipe,2020-10-12 08:24:19+00:00,1.0,539.0,539.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n588,pyfasttext,vrasneur/pyfasttext,pyfasttext,,,nlp,,https://github.com/vrasneur/pyfasttext,https://github.com/vrasneur/pyfasttext,GPL-3.0,2017-06-30 18:44:42+00:00,2018-12-08 15:32:09+00:00,2018-12-08 15:02:12+00:00,31.0,19.0,28.0,229.0,153.0,2018-12-08 15:02:54+00:00,0.4.6,13.0,Yet another Python binding for fastText.,131.0,126.0,4.0,19,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09+00:00,5.0,2692.0,2699.0,,,,False,3,304.0,,,,,,,,,,,,,,,,,,,,,,\n589,Brainiak,brainiak/brainiak,brainiak,,,medical-data,,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27+00:00,2020-10-15 21:11:03.379549+00:00,2020-10-15 16:28:46+00:00,105.0,62.0,117.0,227.0,388.0,2019-08-27 23:52:29+00:00,0.9.1,15.0,Brain Imaging Analysis Kit.,12.0,11.0,32.0,19,https://pypi.org/project/brainiak,2020-10-15 20:45:08+00:00,1.0,137.0,144.0,,,,True,3,,,,brainiak/brainiak,https://hub.docker.com/r/brainiak/brainiak,2020-10-15 21:11:03.379549+00:00,1.0,446.0,,,,,,,,,,,,,,,\n590,fletcher,xhochy/fletcher,fletcher,,,data-containers,['pandas'],https://github.com/xhochy/fletcher,https://github.com/xhochy/fletcher,MIT,2018-03-04 16:44:22+00:00,2020-12-07 20:33:59+00:00,2020-12-07 20:25:51+00:00,32.0,33.0,39.0,202.0,499.0,2020-12-07 20:33:59+00:00,0.7.0,14.0,Pandas ExtensionDType/Array backed by Apache Arrow.,1.0,1.0,23.0,19,https://pypi.org/project/fletcher,2020-12-07 20:33:59+00:00,,425.0,426.0,,,,True,3,12.0,,,,,,,,,,,,,,,,,,,,,,\n591,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,torchbiggraph,,,graph,['pytorch'],https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16+00:00,2020-12-14 18:12:54+00:00,2020-12-02 18:06:46+00:00,356.0,27.0,96.0,2604.0,140.0,2019-10-14 16:45:11+00:00,1.0.0,3.0,Generate embeddings from large-scale graph-structured data.,2.0,,19.0,18,https://pypi.org/project/torchbiggraph,2019-05-01 21:31:13+00:00,2.0,326.0,331.0,,,,True,3,101.0,,,,,,,,,,,,,,,,,,,,,,\n592,Crypto Signals,CryptoSignal/crypto-signal,,,,financial-data,,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24+00:00,2020-12-05 09:57:16+00:00,2020-09-03 12:26:48+00:00,637.0,43.0,187.0,2338.0,563.0,,,,\"Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 2,100 + stars, 580 + forks.\",,,25.0,18,,,,,1040.0,,,,True,3,,,,shadowreaver/crypto-signal,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133+00:00,7.0,40562.0,,,,,,,,,,,,,,,\n593,Apache Singa,apache/singa,,nusdbsystem/singa,,distributed-ml,,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05+00:00,2020-12-11 05:57:25+00:00,2020-12-11 05:55:13+00:00,561.0,49.0,32.0,2141.0,2261.0,2020-04-21 08:01:08+00:00,3.0.0,3.0,a distributed deep learning platform.,,,70.0,18,,,,,2.0,https://anaconda.org/nusdbsystem/singa,,,True,3,,,,apache/singa,https://hub.docker.com/r/apache/singa,2019-06-04 04:32:52.195956+00:00,2.0,165.0,,,,,,,,,,,,,,,\n594,DeepWalk,phanein/deepwalk,deepwalk,,,graph,,https://github.com/phanein/deepwalk,https://github.com/phanein/deepwalk,GPL-3.0,2014-08-23 03:38:20+00:00,2020-04-02 01:05:36+00:00,2020-04-02 01:05:35+00:00,743.0,29.0,78.0,2131.0,46.0,2018-04-29 21:05:18+00:00,1.0.3,4.0,DeepWalk - Deep Learning for Graphs.,41.0,34.0,10.0,18,https://pypi.org/project/deepwalk,2018-04-29 21:05:18+00:00,7.0,1051.0,1051.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n595,Mara Pipelines,mara/mara-pipelines,mara-pipelines,,,data-pipelines,,https://github.com/mara/mara-pipelines,https://github.com/mara/mara-pipelines,MIT,2018-03-31 20:37:22+00:00,2020-12-11 13:00:33+00:00,2020-07-31 19:24:31+00:00,76.0,6.0,11.0,1587.0,127.0,2020-07-31 19:31:29+00:00,3.1.1,7.0,\"A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow.\",7.0,7.0,15.0,18,https://pypi.org/project/mara-pipelines,2020-07-31 19:26:16+00:00,,36.0,36.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n596,NeuroNER,Franck-Dernoncourt/NeuroNER,pyneuroner,,,nlp,,https://github.com/Franck-Dernoncourt/NeuroNER,https://github.com/Franck-Dernoncourt/NeuroNER,MIT,2017-03-07 01:24:15+00:00,2020-11-13 18:07:48+00:00,2019-10-02 23:26:11+00:00,440.0,77.0,67.0,1516.0,132.0,2019-10-02 23:30:15+00:00,1.0.8,7.0,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,8.0,8.0,7.0,18,https://pypi.org/project/pyneuroner,2019-10-02 23:30:15+00:00,,124.0,124.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n597,Antialiased CNNs,adobe/antialiased-cnns,antialiased-cnns,,,pytorch-utils,['pytorch'],https://github.com/adobe/antialiased-cnns,https://github.com/adobe/antialiased-cnns,CC BY-NC-SA 4.0,2019-05-14 20:51:25+00:00,2020-10-23 22:45:52+00:00,2020-10-22 19:40:07+00:00,168.0,9.0,28.0,1309.0,238.0,2020-10-23 22:45:52+00:00,0.3,6.0,pip install antialiased-cnns to improve stability and accuracy.,,,6.0,18,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49+00:00,,505.0,505.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n598,Bounter,RaRe-Technologies/bounter,bounter,,,data-containers,,https://github.com/RaRe-Technologies/bounter,https://github.com/RaRe-Technologies/bounter,MIT,2017-07-18 07:24:15+00:00,2020-08-17 06:37:51+00:00,2020-08-16 11:55:16+00:00,48.0,11.0,9.0,887.0,152.0,2019-01-17 09:39:52+00:00,1.1.1,7.0,Efficient Counter that uses a limited (bounded) amount of memory regardless of data size.,34.0,20.0,8.0,18,https://pypi.org/project/bounter,2020-08-17 06:37:51+00:00,14.0,249.0,249.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n599,advertorch,BorealisAI/advertorch,advertorch,,,adversarial,['pytorch'],https://github.com/BorealisAI/advertorch,https://github.com/BorealisAI/advertorch,GPL-3.0,2018-11-29 22:17:33+00:00,2020-09-25 15:01:47+00:00,2020-06-15 01:16:18+00:00,118.0,13.0,28.0,769.0,270.0,2020-06-15 01:20:07+00:00,0.2.3,10.0,A Toolbox for Adversarial Robustness Research.,30.0,27.0,16.0,18,https://pypi.org/project/advertorch,2020-06-15 01:20:07+00:00,3.0,3507.0,3507.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n600,calamari,Calamari-OCR/calamari,calamari_ocr,,,ocr,,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,Apache-2.0,2018-03-20 15:22:29+00:00,2020-12-14 15:50:51+00:00,2020-11-07 10:36:48+00:00,159.0,18.0,132.0,743.0,259.0,2020-03-29 13:38:21+00:00,1.0.5,22.0,Line based ATR Engine based on OCRopy.,2.0,,17.0,18,https://pypi.org/project/calamari_ocr,2018-11-13 11:24:45+00:00,2.0,649.0,649.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n601,TF Recommenders,tensorflow/recommenders,tensorflow-recommenders,,,recommender-systems,['tensorflow'],https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01+00:00,2020-12-11 20:42:46+00:00,2020-12-11 20:42:39+00:00,63.0,18.0,39.0,650.0,,2020-11-19 18:15:43+00:00,0.3.0,5.0,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,9.0,9.0,16.0,18,https://pypi.org/project/tensorflow-recommenders,2020-11-19 18:15:43+00:00,,3300.0,3300.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n602,pytorch2keras,nerox8664/pytorch2keras,pytorch2keras,,,model-serialisation,,https://github.com/nerox8664/pytorch2keras,https://github.com/nerox8664/pytorch2keras,MIT,2017-11-16 20:21:43+00:00,2020-05-14 10:03:56+00:00,2020-05-14 10:03:04+00:00,109.0,39.0,65.0,639.0,277.0,2020-05-14 10:03:56+00:00,0.2.4,23.0,PyTorch to Keras model convertor.,16.0,15.0,11.0,18,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56+00:00,1.0,703.0,703.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n603,Saliency,PAIR-code/saliency,saliency,,,tensorflow-utils,['tensorflow'],https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35+00:00,2020-10-15 21:38:20+00:00,2020-10-01 22:54:59+00:00,130.0,11.0,10.0,609.0,64.0,2019-09-26 17:59:23+00:00,0.0.5,5.0,\"TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques.\",13.0,13.0,12.0,18,https://pypi.org/project/saliency,2019-09-26 17:59:23+00:00,,192.0,192.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n604,Torchbearer,pytorchbearer/torchbearer,torchbearer,,,ml-frameworks,['pytorch'],https://github.com/pytorchbearer/torchbearer,https://github.com/pytorchbearer/torchbearer,MIT,2018-03-12 16:30:42+00:00,2020-02-17 21:18:06+00:00,2020-02-17 21:18:01+00:00,62.0,8.0,237.0,579.0,427.0,2020-01-31 14:07:22+00:00,0.5.3,24.0,torchbearer: A model fitting library for PyTorch.,40.0,37.0,13.0,18,https://pypi.org/project/torchbearer,2020-01-31 14:05:56+00:00,3.0,513.0,513.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n605,vecstack,vecxoz/vecstack,vecstack,,,others,,https://github.com/vecxoz/vecstack,https://github.com/vecxoz/vecstack,MIT,2016-11-08 13:23:21+00:00,2020-09-14 08:31:07+00:00,2019-10-30 09:27:48+00:00,66.0,,34.0,569.0,189.0,2019-08-12 16:09:01+00:00,0.4.0,6.0,Python package for stacking (machine learning technique).,96.0,92.0,1.0,18,https://pypi.org/project/vecstack,2019-08-12 16:01:22+00:00,4.0,934.0,934.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n606,Dragonfly,dragonfly/dragonfly,dragonfly-opt,,,hyperopt,,https://github.com/dragonfly/dragonfly,https://github.com/dragonfly/dragonfly,MIT,2018-04-20 22:19:50+00:00,2020-07-26 17:44:31+00:00,2020-07-03 18:01:17+00:00,72.0,21.0,16.0,547.0,397.0,2020-07-03 18:05:12+00:00,0.1.6,9.0,An open source python library for scalable Bayesian optimisation.,2.0,,12.0,18,https://pypi.org/project/dragonfly-opt,2020-07-03 18:05:12+00:00,2.0,4249.0,4249.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n607,pyhsmm,mattjj/pyhsmm,pyhsmm,,,probabilistics,,https://github.com/mattjj/pyhsmm,https://github.com/mattjj/pyhsmm,MIT,2012-03-18 17:40:13+00:00,2020-09-29 20:58:26+00:00,2020-08-24 17:03:59+00:00,146.0,33.0,60.0,472.0,1426.0,2017-05-10 17:14:37+00:00,0.1.7,8.0,Bayesian inference in HSMMs and HMMs.,21.0,17.0,13.0,18,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37+00:00,4.0,65.0,65.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n608,What-If Tool,PAIR-code/what-if-tool,witwidget,,,interpretability,,https://github.com/PAIR-code/what-if-tool,https://github.com/PAIR-code/what-if-tool,Apache-2.0,2018-09-07 20:26:10+00:00,2020-11-09 15:54:11+00:00,2020-11-09 15:54:10+00:00,85.0,36.0,31.0,396.0,287.0,2020-06-28 14:23:49.040000+00:00,1.7.0,36.0,Source code/webpage/demos for the What-If Tool.,,,18.0,18,https://pypi.org/project/witwidget,2020-06-28 14:22:37+00:00,,2558.0,4463.0,,,,True,3,,,,,,,,,wit-widget,https://www.npmjs.com/package/wit-widget,2020-11-03 16:28:21.255000+00:00,,1905.0,,,,,,,,,,\n609,Baal,ElementAI/baal,baal,,,probabilistics,,https://github.com/ElementAI/baal,https://github.com/ElementAI/baal,Apache-2.0,2019-09-30 20:16:26+00:00,2020-12-11 19:04:37+00:00,2020-12-11 19:04:35+00:00,24.0,12.0,22.0,298.0,92.0,2020-11-03 21:14:13+00:00,1.2.1,7.0,Using approximate bayesian posteriors in deep nets for active learning.,6.0,6.0,8.0,18,https://pypi.org/project/baal,2020-11-03 21:07:08+00:00,,247.0,247.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n610,sklearn-evaluation,edublancas/sklearn-evaluation,sklearn-evaluation,,,interpretability,['sklearn'],https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2015-09-04 16:33:42+00:00,2020-12-15 17:34:30+00:00,2020-12-15 17:33:52+00:00,25.0,7.0,27.0,285.0,469.0,2020-12-15 17:36:29+00:00,0.5.3,15.0,\"scikit-learn model evaluation made easy: plots, tables and markdown reports.\",27.0,25.0,5.0,18,https://pypi.org/project/sklearn-evaluation,2020-12-15 17:34:30+00:00,2.0,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n611,sk-dist,Ibotta/sk-dist,sk-dist,,,distributed-ml,\"['sklearn', 'spark']\",https://github.com/Ibotta/sk-dist,https://github.com/Ibotta/sk-dist,Apache-2.0,2019-08-14 21:07:17+00:00,2020-12-03 22:36:35+00:00,2020-12-03 22:36:34+00:00,42.0,6.0,9.0,249.0,45.0,2020-05-14 22:20:14+00:00,0.1.9,12.0,Distributed scikit-learn meta-estimators in PySpark.,7.0,5.0,6.0,18,https://pypi.org/project/sk-dist,2020-05-14 22:20:14+00:00,2.0,4661.0,4661.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n612,Funsor,pyro-ppl/funsor,funsor,,,probabilistics,['pytorch'],https://github.com/pyro-ppl/funsor,https://github.com/pyro-ppl/funsor,Apache-2.0,2019-01-30 23:13:39+00:00,2020-12-15 07:04:02+00:00,2020-12-14 05:48:12+00:00,15.0,55.0,52.0,155.0,453.0,2020-10-15 15:54:49+00:00,0.3.0,5.0,Functional tensors for probabilistic programming.,7.0,7.0,9.0,18,https://pypi.org/project/funsor,2020-10-15 15:54:49+00:00,,240.0,240.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n613,BatchFlow,analysiscenter/batchflow,batchflow,,,data-pipelines,,https://github.com/analysiscenter/batchflow,https://github.com/analysiscenter/batchflow,Apache-2.0,2017-03-13 14:22:53+00:00,2020-12-15 15:07:03+00:00,2020-12-08 08:39:00+00:00,33.0,52.0,53.0,153.0,4298.0,2019-08-23 12:21:50+00:00,0.3.0,3.0,BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and..,,,28.0,18,https://pypi.org/project/batchflow,2019-08-23 12:21:50+00:00,,32.0,32.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n614,Glow,projectglow/glow,glow.py,,,medical-data,,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47+00:00,2020-12-14 01:56:43+00:00,2020-12-02 17:26:06+00:00,41.0,22.0,41.0,144.0,292.0,2020-09-10 18:38:52+00:00,0.6.0,9.0,An open-source toolkit for large-scale genomic analysis.,,,11.0,18,https://pypi.org/project/glow.py,2020-09-10 01:15:03+00:00,,1236.0,1236.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n615,DeepMind Lab,deepmind/lab,,,,reinforcement-learning,,https://github.com/deepmind/lab,https://github.com/deepmind/lab,GPL-2.0,2016-11-30 13:41:26+00:00,2020-12-07 11:25:29+00:00,2020-12-07 11:05:16+00:00,1286.0,37.0,151.0,6347.0,470.0,2020-12-07 11:26:33+00:00,release-2020-12-07,8.0,A customisable 3D platform for agent-based AI research.,,,7.0,17,,,,,,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n616,Spotlight,maciejkula/spotlight,,maciejkula/spotlight,,recommender-systems,['pytorch'],https://github.com/maciejkula/spotlight,https://github.com/maciejkula/spotlight,MIT,2017-06-25 18:52:19+00:00,2020-11-15 08:21:28+00:00,2020-02-09 21:03:48+00:00,366.0,64.0,48.0,2356.0,299.0,2019-09-08 10:19:53+00:00,0.1.6,7.0,Deep recommender models using PyTorch.,,,11.0,17,,,,,,https://anaconda.org/maciejkula/spotlight,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n617,PaddleDetection,PaddlePaddle/PaddleDetection,,,,image,['paddle'],https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14+00:00,2020-12-15 16:40:29+00:00,2020-12-15 03:13:49+00:00,564.0,273.0,780.0,2007.0,639.0,2019-11-27 05:15:38+00:00,0.1.0,1.0,Object detection and instance segmentation toolkit based on PaddlePaddle.,,,41.0,17,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n618,Advisor,tobegit3hub/advisor,advisor,,,hyperopt,,https://github.com/tobegit3hub/advisor,https://github.com/tobegit3hub/advisor,Apache-2.0,2017-09-14 03:50:33+00:00,2019-11-11 07:09:57.869705+00:00,2019-11-11 06:59:31+00:00,237.0,19.0,13.0,1323.0,165.0,2018-10-18 02:54:09+00:00,0.1.6,4.0,Open-source implementation of Google Vizier for hyper parameters tuning.,,,11.0,17,https://pypi.org/project/advisor,2018-10-18 02:54:09+00:00,,84.0,123.0,,,,False,3,,,,tobegit3hub/advisor,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705+00:00,,1533.0,,,,,,,,,,,,,,,\n619,AdvBox,advboxes/AdvBox,advbox,,,adversarial,,https://github.com/advboxes/AdvBox,https://github.com/advboxes/AdvBox,Apache-2.0,2018-08-08 08:55:41+00:00,2020-11-13 17:59:22+00:00,2020-08-26 22:59:41+00:00,217.0,6.0,25.0,1011.0,374.0,2018-12-05 02:48:50+00:00,0.4.1,2.0,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,,,19.0,17,https://pypi.org/project/advbox,2018-12-05 02:48:50+00:00,,40.0,40.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n620,sklearn-porter,nok/sklearn-porter,sklearn-porter,,,model-serialisation,['sklearn'],https://github.com/nok/sklearn-porter,https://github.com/nok/sklearn-porter,MIT,2016-06-22 22:21:34+00:00,2020-10-19 07:28:00+00:00,2019-12-18 13:31:50+00:00,118.0,34.0,29.0,936.0,699.0,2019-04-15 22:13:06+00:00,0.7.4,20.0,\"Transpile trained scikit-learn estimators to C, Java, JavaScript and others.\",1.0,,11.0,17,https://pypi.org/project/sklearn-porter,2019-12-18 13:39:19+00:00,1.0,492.0,492.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n621,Torch Points 3D,nicolas-chaulet/torch-points3d,torch-points3d,,,image,['pytorch'],https://github.com/nicolas-chaulet/torch-points3d,https://github.com/nicolas-chaulet/torch-points3d,,2019-12-06 11:33:34+00:00,2020-12-14 17:03:55+00:00,2020-12-14 17:03:53+00:00,141.0,41.0,140.0,910.0,1559.0,2020-08-04 09:08:49+00:00,1.1.1,12.0,Pytorch framework for doing deep learning on point clouds.,2.0,2.0,18.0,17,https://pypi.org/project/torch-points3d,2020-08-04 09:08:49+00:00,,283.0,283.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n622,Backtesting.py,kernc/backtesting.py,backtesting,,,financial-data,,https://github.com/kernc/backtesting.py,https://github.com/kernc/backtesting.py,AGPL-3.0,2019-01-02 03:11:32+00:00,2020-12-15 11:50:54+00:00,2020-12-12 07:50:28+00:00,214.0,20.0,159.0,832.0,213.0,2017-07-22 02:00:06+00:00,0.0.1,1.0,Backtest trading strategies in Python.,,,8.0,17,https://pypi.org/project/backtesting,2017-07-22 02:00:06+00:00,,2852.0,2852.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n623,CrypTen,facebookresearch/CrypTen,crypten,,,privacy-ml,['pytorch'],https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31+00:00,2020-12-12 13:35:48+00:00,2020-12-09 19:56:33+00:00,87.0,15.0,31.0,670.0,225.0,2020-04-21 13:59:37+00:00,0.1,1.0,A framework for Privacy Preserving Machine Learning.,5.0,5.0,22.0,17,https://pypi.org/project/crypten,2020-02-05 18:53:03+00:00,,446.0,446.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n624,Hivemind,learning-at-home/hivemind,hivemind,,,distributed-ml,,https://github.com/learning-at-home/hivemind,https://github.com/learning-at-home/hivemind,MIT,2020-02-27 13:50:19+00:00,2020-12-14 16:32:08+00:00,2020-12-02 19:44:46+00:00,28.0,14.0,17.0,630.0,282.0,2020-08-28 05:52:35+00:00,0.8.2,5.0,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,2.0,1.0,8.0,17,https://pypi.org/project/hivemind,2020-08-28 16:00:22+00:00,1.0,37.0,37.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n625,SpeedTorch,Santosh-Gupta/SpeedTorch,SpeedTorch,,,gpu-utilities,['pytorch'],https://github.com/Santosh-Gupta/SpeedTorch,https://github.com/Santosh-Gupta/SpeedTorch,MIT,2019-09-07 18:57:52+00:00,2020-02-21 23:13:29+00:00,2020-02-21 23:13:28+00:00,35.0,3.0,2.0,590.0,170.0,2020-01-06 05:27:17+00:00,0.1.6,14.0,Library for faster pinned CPU - GPU transfer in Pytorch.,5.0,3.0,3.0,17,https://pypi.org/project/SpeedTorch,2020-01-06 05:27:17+00:00,2.0,152.0,152.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n626,ADTK,arundo/adtk,adtk,,,time-series-data,,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22+00:00,2020-04-29 19:54:40+00:00,2020-04-17 02:27:44+00:00,70.0,20.0,29.0,565.0,78.0,2020-04-17 02:18:00+00:00,0.6.2,13.0,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,,,11.0,17,https://pypi.org/project/adtk,2020-04-17 02:18:00+00:00,,37630.0,37630.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n627,AlphaPy,ScottfreeLLC/AlphaPy,alphapy,,,hyperopt,,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32+00:00,2020-09-06 12:58:26+00:00,2020-09-06 12:58:25+00:00,110.0,10.0,29.0,520.0,407.0,2020-08-29 18:48:20+00:00,2.5.0,24.0,\"Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost.\",2.0,2.0,3.0,17,https://pypi.org/project/alphapy,2020-08-25 23:33:42+00:00,,193.0,193.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n628,SKLL,EducationalTestingService/skll,skll,,,ml-experiments,['sklearn'],https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,BSD-1-Clause,2013-08-02 14:31:46+00:00,2020-12-04 04:12:31+00:00,2020-12-04 04:12:24+00:00,62.0,42.0,325.0,519.0,,2020-03-13 17:22:26+00:00,2.1,63.0,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,45.0,28.0,34.0,17,https://pypi.org/project/skll,2020-03-13 16:23:35+00:00,17.0,519.0,519.0,,,,False,3,10.0,,,,,,,,,,,,,,,,,,,,,,\n629,DiCE,interpretml/DiCE,dice-ml,,,interpretability,\"['tensorflow', 'pytorch']\",https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02+00:00,2020-12-15 13:12:57+00:00,2020-12-15 13:12:50+00:00,62.0,10.0,18.0,405.0,288.0,2020-09-22 06:31:10+00:00,0.4,2.0,Generate Diverse Counterfactual Explanations for any machine learning model.,,,8.0,17,https://pypi.org/project/dice-ml,2020-09-22 06:57:33+00:00,,198.0,198.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n630,Performer Pytorch,lucidrains/performer-pytorch,performer-pytorch,,,pytorch-utils,['pytorch'],https://github.com/lucidrains/performer-pytorch,https://github.com/lucidrains/performer-pytorch,MIT,2020-10-03 03:41:36+00:00,2020-12-14 17:10:37+00:00,2020-12-14 17:09:48+00:00,57.0,12.0,28.0,405.0,,2020-12-14 17:10:37+00:00,0.14.9,60.0,\"An implementation of Performer, a linear attention-based transformer, in Pytorch.\",6.0,6.0,4.0,17,https://pypi.org/project/performer-pytorch,2020-12-13 20:20:46+00:00,,1912.0,1912.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n631,PugSQL,mcfunley/pugsql,pugsql,,,db-clients,,https://github.com/mcfunley/pugsql,https://github.com/mcfunley/pugsql,Apache-2.0,2019-05-19 16:55:38+00:00,2020-09-13 06:06:17+00:00,2020-09-13 06:06:13+00:00,12.0,13.0,19.0,404.0,254.0,2020-09-03 22:44:19+00:00,0.2.2,23.0,A HugSQL-inspired database library for Python.,1.0,,10.0,17,https://pypi.org/project/pugsql,2020-09-13 05:35:42+00:00,1.0,1908.0,1908.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n632,pdvega,altair-viz/pdvega,pdvega,,,data-viz,,https://github.com/altair-viz/pdvega,https://github.com/altair-viz/pdvega,MIT,2018-01-11 21:30:27+00:00,2019-03-29 16:09:14+00:00,2019-03-29 16:09:13+00:00,28.0,16.0,10.0,339.0,177.0,,,1.0,Interactive plotting for Pandas using Vega-Lite.,47.0,45.0,9.0,17,https://pypi.org/project/pdvega,2018-02-01 04:56:43+00:00,2.0,149.0,149.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n633,datmo,datmo/datmo,datmo,,,ml-experiments,,https://github.com/datmo/datmo,https://github.com/datmo/datmo,MIT,2017-11-03 05:46:43+00:00,2019-11-29 00:48:45+00:00,2019-11-29 00:48:44+00:00,27.0,42.0,149.0,331.0,1051.0,2018-12-07 06:01:12+00:00,0.0.40,41.0,Open source production model management tool for data scientists.,5.0,5.0,5.0,17,https://pypi.org/project/datmo,2018-12-07 06:16:42+00:00,,204.0,204.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n634,Camphr,PKSHATechnology-Research/camphr,camphr,,,nlp,['spacy'],https://github.com/PKSHATechnology-Research/camphr,https://github.com/PKSHATechnology-Research/camphr,Apache-2.0,2020-02-10 03:39:58+00:00,2020-12-15 08:04:45+00:00,2020-12-15 00:25:16+00:00,15.0,7.0,14.0,318.0,1068.0,2020-08-21 04:45:06+00:00,0.7.0,35.0,\"spaCy plugin for Transformers , Udify, ELmo, etc.\",,,7.0,17,https://pypi.org/project/camphr,2020-08-20 15:29:45+00:00,,524.0,524.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n635,tick,X-DataInitiative/tick,tick,,,time-series-data,,https://github.com/X-DataInitiative/tick,https://github.com/X-DataInitiative/tick,BSD-3-Clause,2016-12-01 10:59:08+00:00,2020-08-11 12:36:43+00:00,2020-06-15 12:01:36+00:00,74.0,55.0,159.0,316.0,413.0,2019-09-11 11:25:15+00:00,0.6,23.0,\"Module for statistical learning, with a particular emphasis on time-dependent modelling.\",28.0,27.0,16.0,17,https://pypi.org/project/tick,2020-05-24 22:01:17+00:00,1.0,795.0,798.0,,,,True,3,155.0,,,,,,,,,,,,,,,,,,,,,,\n636,Case Recommender,caserec/CaseRecommender,caserecommender,,,recommender-systems,['sklearn'],https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39+00:00,2020-05-26 22:44:05+00:00,2020-05-26 22:44:05+00:00,66.0,6.0,16.0,305.0,201.0,2019-08-20 13:38:02+00:00,1.1.0,40.0,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems.,5.0,5.0,10.0,17,https://pypi.org/project/caserecommender,2019-08-20 13:42:28+00:00,,183.0,183.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n637,apricot,jmschrei/apricot,apricot-select,,,others,,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12+00:00,2020-09-30 20:53:48+00:00,2020-09-30 20:53:44+00:00,28.0,3.0,10.0,296.0,151.0,2020-09-28 07:19:15+00:00,0.6.0,13.0,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,9.0,9.0,2.0,17,https://pypi.org/project/apricot-select,2020-09-28 07:19:15+00:00,,279.0,279.0,,,,True,3,8.0,,,,,,,,,,,,,,,,,,,,,,\n638,LOFO,aerdem4/lofo-importance,lofo-importance,,,interpretability,,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46+00:00,2020-07-02 11:49:54+00:00,2020-07-02 11:49:52+00:00,40.0,1.0,10.0,286.0,24.0,2020-07-02 11:44:57+00:00,0.2.6,9.0,Leave One Feature Out Importance.,3.0,3.0,3.0,17,https://pypi.org/project/lofo-importance,2020-07-02 11:44:57+00:00,,223.0,223.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n639,Orbit,uber/orbit,orbit-ml,,,probabilistics,,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37+00:00,2020-12-15 05:26:38+00:00,2020-11-25 22:33:07+00:00,12.0,22.0,140.0,285.0,571.0,2020-11-15 23:46:41+00:00,1.0.9,9.0,Bayesian forecasting with object-oriented design and probabilistic models under the hood.,2.0,2.0,5.0,17,https://pypi.org/project/orbit-ml,2020-11-15 23:46:41+00:00,,260.0,260.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n640,DeepGraph,deepgraph/deepgraph,deepgraph,conda-forge/deepgraph,,graph,['pandas'],https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45+00:00,2020-10-01 13:20:38+00:00,2020-10-01 13:17:00+00:00,33.0,7.0,4.0,226.0,160.0,2020-10-01 13:20:38+00:00,0.2.3,13.0,Analyze Data with Pandas-based Networks. Documentation:.,1.0,1.0,2.0,17,https://pypi.org/project/deepgraph,2020-10-01 13:18:38+00:00,,296.0,296.0,https://anaconda.org/conda-forge/deepgraph,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n641,ipyexperiments,stas00/ipyexperiments,ipyexperiments,,,gpu-utilities,['jupyter'],https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40+00:00,2020-11-17 04:11:19+00:00,2020-11-17 04:11:16+00:00,9.0,,4.0,120.0,177.0,2020-11-16 07:08:34+00:00,0.1.22,21.0,jupyter/ipython experiment containers for GPU and general RAM re-use.,4.0,2.0,3.0,17,https://pypi.org/project/ipyexperiments,2020-11-17 04:10:43+00:00,2.0,298.0,298.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n642,nvidia-ml-py3,nicolargo/nvidia-ml-py3,nvidia-ml-py3,,,gpu-utilities,,https://github.com/nicolargo/nvidia-ml-py3,https://github.com/nicolargo/nvidia-ml-py3,BSD-3-Clause,2017-06-03 07:47:03+00:00,2019-03-06 20:41:10+00:00,2019-03-06 20:41:09+00:00,13.0,2.0,,59.0,5.0,,,1.0,Python 3 Bindings for the NVIDIA Management Library.,2318.0,2306.0,2.0,17,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46+00:00,12.0,289343.0,289343.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n643,ReAgent,facebookresearch/ReAgent,,,,reinforcement-learning,['pytorch'],https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21+00:00,2020-12-15 18:00:55+00:00,2020-12-15 18:00:02+00:00,372.0,20.0,73.0,2701.0,1040.0,,,,\"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).\",,,82.0,16,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n644,LIT,PAIR-code/lit,lit-nlp,,,interpretability,,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26+00:00,2020-12-14 21:49:23+00:00,2020-11-17 00:43:10+00:00,219.0,25.0,27.0,2277.0,,2020-11-17 00:53:31+00:00,0.2,4.0,The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and..,,,10.0,16,https://pypi.org/project/lit-nlp,2020-11-17 00:52:37+00:00,,305.0,305.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n645,automl-gs,minimaxir/automl-gs,automl_gs,,,hyperopt,,https://github.com/minimaxir/automl-gs,https://github.com/minimaxir/automl-gs,MIT,2019-01-13 18:57:44+00:00,2019-10-22 11:20:40+00:00,2019-04-05 06:48:14+00:00,157.0,26.0,6.0,1704.0,102.0,2019-04-05 06:51:04+00:00,0.2.1,2.0,\"Provide an input CSV and a target field to predict, generate a model + code to run it.\",,,7.0,16,https://pypi.org/project/automl_gs,2019-04-05 06:47:54+00:00,,40.0,40.0,,,,False,3,20.0,,,,,,,,,,,,,,,,,,,,,,\n646,BlazingSQL,BlazingDB/blazingsql,,blazingsql/blazingsql-protocol,,gpu-utilities,,https://github.com/BlazingDB/blazingsql,https://github.com/BlazingDB/blazingsql,Apache-2.0,2018-09-24 18:25:45+00:00,2020-12-15 18:09:56+00:00,2020-12-15 17:31:51+00:00,133.0,234.0,318.0,1361.0,,2020-12-14 17:43:48+00:00,0.17.0,15.0,\"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.\",,,39.0,16,,,,,,https://anaconda.org/blazingsql/blazingsql-protocol,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n647,Xcessiv,reiinakano/xcessiv,xcessiv,,,hyperopt,,https://github.com/reiinakano/xcessiv,https://github.com/reiinakano/xcessiv,Apache-2.0,2017-03-07 18:18:25+00:00,2018-06-06 22:23:37+00:00,2017-08-21 00:51:15+00:00,103.0,21.0,13.0,1256.0,316.0,2017-08-21 00:53:25+00:00,0.5.1,34.0,\"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.\",2.0,1.0,6.0,16,https://pypi.org/project/xcessiv,2017-08-21 00:49:41+00:00,1.0,112.0,112.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n648,Lambda Networks,lucidrains/lambda-networks,lambda-networks,,,pytorch-utils,['pytorch'],https://github.com/lucidrains/lambda-networks,https://github.com/lucidrains/lambda-networks,MIT,2020-10-08 19:01:15+00:00,2020-11-18 19:54:34+00:00,2020-11-18 19:54:30+00:00,124.0,8.0,15.0,1208.0,,2020-11-18 08:18:54+00:00,0.4.0,11.0,\"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.\",,,3.0,16,https://pypi.org/project/lambda-networks,2020-10-20 21:49:22+00:00,,428.0,428.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n649,River,online-ml/river,river,,,others,,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26+00:00,2020-12-15 14:53:56+00:00,2020-12-14 16:54:05+00:00,144.0,41.0,225.0,1188.0,2868.0,,,,Online machine learning in Python.,2.0,,55.0,16,https://pypi.org/project/river,2018-10-23 02:19:34.893000+00:00,2.0,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n650,HyperparameterHunter,HunterMcGushion/hyperparameter_hunter,hyperparameter-hunter,,,hyperopt,,https://github.com/HunterMcGushion/hyperparameter_hunter,https://github.com/HunterMcGushion/hyperparameter_hunter,MIT,2018-06-01 23:17:00+00:00,2020-10-21 17:39:45+00:00,2020-10-21 17:39:43+00:00,77.0,36.0,84.0,631.0,1095.0,2019-08-06 09:09:45+00:00,3.0.0,16.0,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries.,1.0,,3.0,16,https://pypi.org/project/hyperparameter-hunter,2019-08-06 06:01:58+00:00,1.0,100.0,108.0,,,,True,3,235.0,,,,,,,,,,,,,,,,,,,,,,\n651,lazydata,rstojnic/lazydata,lazydata,,,db-clients,,https://github.com/rstojnic/lazydata,https://github.com/rstojnic/lazydata,Apache-2.0,2018-08-21 12:44:27+00:00,2019-02-13 18:15:09+00:00,2018-10-12 11:40:26+00:00,24.0,7.0,6.0,624.0,216.0,2018-09-18 21:24:41+00:00,1.0.19,19.0,Lazydata: Scalable data dependencies for Python projects.,7.0,7.0,6.0,16,https://pypi.org/project/lazydata,2018-09-18 21:25:30+00:00,,56.0,56.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n652,cuGraph,rapidsai/cugraph,cugraph,,,gpu-utilities,,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11+00:00,2020-12-15 16:03:42+00:00,2020-12-15 16:03:41+00:00,129.0,90.0,444.0,588.0,,2020-12-10 21:54:44+00:00,0.17.0,4.0,cuGraph - RAPIDS Graph Analytics Library.,,,52.0,16,https://pypi.org/project/cugraph,2019-04-04 15:31:02+00:00,,64.0,64.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n653,ThunderGBM,Xtra-Computing/thundergbm,thundergbm,,,ml-frameworks,,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08+00:00,2020-12-15 05:42:06+00:00,2020-12-15 05:42:05+00:00,70.0,16.0,26.0,569.0,604.0,2020-05-01 23:16:25+00:00,0.3.16,24.0,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,,,10.0,16,https://pypi.org/project/thundergbm,2020-05-01 23:16:25+00:00,,125.0,125.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n654,XAI,EthicalML/xai,xai,,,interpretability,,https://github.com/EthicalML/xai,https://github.com/EthicalML/xai,MIT,2019-01-11 20:00:09+00:00,2019-10-05 10:34:58+00:00,2019-10-05 10:34:50+00:00,79.0,4.0,2.0,542.0,83.0,2019-01-13 21:24:01+00:00,0.0.4,4.0,XAI - An eXplainability toolbox for machine learning.,14.0,8.0,2.0,16,https://pypi.org/project/xai,2019-01-13 21:24:01+00:00,6.0,189.0,189.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n655,FlashTorch,MisaOgura/flashtorch,flashtorch,,,interpretability,['pytorch'],https://github.com/MisaOgura/flashtorch,https://github.com/MisaOgura/flashtorch,MIT,2019-03-22 13:00:57+00:00,2020-12-14 23:09:26+00:00,2020-05-29 14:37:29+00:00,64.0,6.0,21.0,512.0,126.0,2020-05-29 14:39:38+00:00,0.1.3,12.0,Visualization toolkit for neural networks in PyTorch! Demo --.,5.0,5.0,2.0,16,https://pypi.org/project/flashtorch,2020-05-29 14:38:32+00:00,,222.0,222.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n656,RLax,deepmind/rlax,rlax,,,reinforcement-learning,['jax'],https://github.com/deepmind/rlax,https://github.com/deepmind/rlax,Apache-2.0,2020-02-18 07:14:59+00:00,2020-12-04 16:29:56+00:00,2020-12-04 16:29:20+00:00,34.0,3.0,3.0,510.0,100.0,2020-02-19 23:01:30+00:00,0.1.0,3.0,A library of reinforcement learning building blocks in JAX.,8.0,8.0,10.0,16,https://pypi.org/project/rlax,2020-02-19 23:01:30+00:00,,134.0,134.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n657,Auto Tune Models,HDI-Project/ATM,atm,,,hyperopt,,https://github.com/HDI-Project/ATM,https://github.com/HDI-Project/ATM,MIT,2016-10-14 18:03:00+00:00,2020-02-21 17:44:07+00:00,2020-02-21 17:40:58+00:00,122.0,17.0,71.0,501.0,775.0,2019-07-30 09:28:26+00:00,0.2.2,13.0,\"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).\",6.0,6.0,16.0,16,https://pypi.org/project/atm,2019-06-24 13:31:28+00:00,,140.0,140.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n658,OpenRec,ylongqi/openrec,openrec,,,recommender-systems,,https://github.com/ylongqi/openrec,https://github.com/ylongqi/openrec,Apache-2.0,2017-11-29 16:04:40+00:00,2020-11-13 17:47:17+00:00,2020-02-19 07:57:17+00:00,80.0,4.0,12.0,349.0,213.0,2018-11-13 17:55:55+00:00,0.2.5,11.0,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms.,2.0,1.0,10.0,16,https://pypi.org/project/openrec,2019-09-11 20:21:21+00:00,1.0,62.0,62.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n659,VizSeq,facebookresearch/vizseq,vizseq,,,nlp,,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38+00:00,2020-12-13 18:55:58+00:00,2020-12-13 18:55:54+00:00,39.0,7.0,8.0,294.0,43.0,2020-08-07 01:13:52+00:00,0.1.15,16.0,\"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).\",1.0,1.0,3.0,16,https://pypi.org/project/vizseq,2020-08-07 01:13:52+00:00,,133.0,133.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n660,Headliner,as-ideas/headliner,headliner,,,nlp,,https://github.com/as-ideas/headliner,https://github.com/as-ideas/headliner,MIT,2019-09-30 11:33:28+00:00,2020-02-14 09:07:46+00:00,2020-02-14 09:03:27+00:00,38.0,1.0,13.0,216.0,276.0,2020-01-24 09:06:29+00:00,1.0.2,30.0,Easy training and deployment of seq2seq models.,3.0,2.0,2.0,16,https://pypi.org/project/headliner,2020-01-24 09:06:29+00:00,1.0,438.0,438.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n661,Transistor,bomquote/transistor,transistor,,,web-scraping,,https://github.com/bomquote/transistor,https://github.com/bomquote/transistor,MIT,2018-11-12 15:25:51+00:00,2020-12-12 22:37:59+00:00,2020-08-16 21:52:05+00:00,17.0,60.0,3.0,206.0,198.0,2020-08-03 20:20:32+00:00,0.2.4,7.0,\"Transistor, a Python web scraping framework for intelligent use cases.\",,,3.0,16,https://pypi.org/project/transistor,2020-08-03 20:12:39+00:00,,120.0,122.0,,,,True,3,51.0,,,,,,,,,,,,,,,,,,,,,,\n662,Muda,bmcfee/muda,muda,,,audio,,https://github.com/bmcfee/muda,https://github.com/bmcfee/muda,ISC,2014-11-07 21:21:22+00:00,2020-09-01 19:21:10+00:00,2020-07-20 20:00:17+00:00,30.0,5.0,44.0,172.0,291.0,2019-11-15 15:46:21+00:00,0.4.1,11.0,A library for augmenting annotated audio data.,8.0,7.0,6.0,16,https://pypi.org/project/muda,2019-11-15 15:46:21+00:00,1.0,111.0,111.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n663,ExplainX.ai,explainX/explainx,explainx,,,interpretability,,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15+00:00,2020-12-11 21:27:38+00:00,2020-12-08 21:08:01+00:00,26.0,7.0,12.0,148.0,174.0,2020-10-23 17:30:47+00:00,2.403,53.0,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,,,4.0,16,https://pypi.org/project/explainx,2020-12-07 22:26:30+00:00,,953.0,953.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n664,Larq Compute Engine,larq/compute-engine,larq-compute-engine,,,model-serialisation,,https://github.com/larq/compute-engine,https://github.com/larq/compute-engine,Apache-2.0,2019-08-29 15:02:43+00:00,2020-12-15 12:44:25+00:00,2020-12-15 12:44:23+00:00,17.0,21.0,86.0,119.0,437.0,2020-09-21 13:31:57+00:00,0.4.3,11.0,Highly optimized inference engine for Binarized Neural Networks.,1.0,1.0,13.0,16,https://pypi.org/project/larq-compute-engine,2020-09-21 17:41:53+00:00,,817.0,829.0,,,,False,3,120.0,,,,,,,,,,,,,,,,,,,,,,\n665,dabl,amueller/dabl,dabl,,,others,['sklearn'],https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49+00:00,2020-12-11 22:51:44+00:00,2020-07-08 16:14:41+00:00,7.0,1.0,,60.0,252.0,2020-02-04 18:25:16+00:00,0.1.9,10.0,Data Analysis Baseline Library.,,,18.0,16,https://pypi.org/project/dabl,2020-09-25 18:14:54+00:00,,1920.0,1920.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n666,Euler,alibaba/euler,euler-gl,,,graph,['tensorflow'],https://github.com/alibaba/euler,https://github.com/alibaba/euler,Apache-2.0,2019-01-10 06:32:32+00:00,2020-07-29 05:53:02+00:00,2020-07-29 05:53:01+00:00,496.0,199.0,97.0,2419.0,8.0,2020-07-07 02:24:18+00:00,2.0.0,2.0,A distributed graph deep learning framework.,,,5.0,15,https://pypi.org/project/euler-gl,2019-04-10 01:53:45+00:00,,12.0,12.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n667,GraphEmbedding,shenweichen/GraphEmbedding,,,,graph,['sklearn'],https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20+00:00,2020-10-18 09:32:47+00:00,2020-10-18 09:32:47+00:00,525.0,26.0,13.0,1655.0,28.0,,,,Implementation and experiments of graph embedding algorithms.,7.0,7.0,6.0,15,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n668,Botflow,kkyon/botflow,botflow,,,data-pipelines,,https://github.com/kkyon/botflow,https://github.com/kkyon/botflow,BSD-3-Clause,2018-08-20 03:13:31+00:00,2019-05-23 14:40:51+00:00,2019-05-23 14:40:50+00:00,97.0,2.0,2.0,1149.0,192.0,,,5.0,\"Python Fast Dataflow programming framework for Data pipeline work( Web Crawler,Machine Learning,Quantitative..\",1.0,1.0,11.0,15,https://pypi.org/project/botflow,2018-09-14 14:38:32+00:00,,51.0,51.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n669,Translate,pytorch/translate,pytorch-translate,,,nlp,['pytorch'],https://github.com/pytorch/translate,https://github.com/pytorch/translate,BSD-3-Clause,2018-04-24 16:44:04+00:00,2020-12-02 14:37:37+00:00,2020-11-16 20:42:29+00:00,155.0,66.0,27.0,662.0,802.0,,,1.0,Translate - a PyTorch Language Library.,,,83.0,15,https://pypi.org/project/pytorch-translate,2018-05-01 19:59:40+00:00,,16.0,16.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n670,SuperSQLite,plasticityai/supersqlite,supersqlite,,,db-clients,,https://github.com/plasticityai/supersqlite,https://github.com/plasticityai/supersqlite,MIT,2018-11-09 08:20:26+00:00,2020-05-09 09:06:06+00:00,2019-08-27 13:16:09+00:00,18.0,3.0,1.0,653.0,221.0,2018-11-22 02:36:13+00:00,0.0.78,56.0,A supercharged SQLite library for Python.,3.0,3.0,2.0,15,https://pypi.org/project/supersqlite,2018-11-19 04:01:04+00:00,,332.0,332.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n671,baikal,alegonz/baikal,baikal,conda-forge/cython-blis,,others,,https://github.com/alegonz/baikal,https://github.com/alegonz/baikal,BSD-3-Clause,2019-01-21 12:59:02+00:00,2020-11-15 13:41:03+00:00,2020-11-15 13:39:20+00:00,28.0,4.0,11.0,569.0,393.0,2020-05-17 12:40:17+00:00,0.4.2,7.0,A graph-based functional API for building complex scikit-learn pipelines.,2.0,2.0,1.0,15,https://pypi.org/project/baikal,2020-11-15 13:40:18+00:00,,90.0,90.0,https://anaconda.org/conda-forge/cython-blis,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n672,PandaPy,firmai/pandapy,pandapy,,,data-containers,['pandas'],https://github.com/firmai/pandapy,https://github.com/firmai/pandapy,MIT,2020-01-15 18:21:23+00:00,2020-11-12 16:18:45+00:00,2020-11-12 16:18:44+00:00,42.0,2.0,1.0,455.0,83.0,2020-11-12 16:12:54+00:00,zen,22.0,PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai).,1.0,1.0,3.0,15,https://pypi.org/project/pandapy,2020-01-25 23:10:32+00:00,,93.0,93.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n673,cuSignal,rapidsai/cusignal,,,,gpu-utilities,,https://github.com/rapidsai/cusignal,https://github.com/rapidsai/cusignal,Apache-2.0,2019-08-22 14:27:27+00:00,2020-12-15 18:46:05+00:00,2020-12-15 18:46:03+00:00,55.0,17.0,80.0,427.0,,2020-12-10 21:29:50+00:00,0.17.0,3.0,GPU accelerated signal processing.,,,27.0,15,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n674,Tensor Sensor,parrt/tensor-sensor,tensor-sensor,,,pytorch-utils,['pytorch'],https://github.com/parrt/tensor-sensor,https://github.com/parrt/tensor-sensor,MIT,2020-08-28 22:54:04+00:00,2020-12-03 20:46:15+00:00,2020-12-03 20:45:45+00:00,22.0,4.0,12.0,394.0,148.0,2020-12-03 20:46:15+00:00,0.1.1,33.0,The goal of this library is to generate more helpful exception messages for numpy/pytorch matrix algebra expressions.,,,2.0,15,https://pypi.org/project/tensor-sensor,2020-12-03 20:40:56+00:00,,448.0,448.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n675,TF Compression,tensorflow/compression,tensorflow-compression,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19+00:00,2020-12-08 19:06:22+00:00,2020-12-08 18:51:30+00:00,139.0,3.0,50.0,393.0,130.0,2019-11-20 01:04:19+00:00,1.3,7.0,Data compression in TensorFlow.,1.0,,9.0,15,https://pypi.org/project/tensorflow-compression,2020-12-04 19:23:50+00:00,1.0,493.0,493.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n676,Pywick,achaiah/pywick,pywick,,,pytorch-utils,['pytorch'],https://github.com/achaiah/pywick,https://github.com/achaiah/pywick,MIT,2019-03-25 15:42:47+00:00,2020-11-17 16:44:11+00:00,2020-09-24 19:20:06+00:00,34.0,2.0,9.0,311.0,109.0,2020-01-20 22:14:21+00:00,0.5.6,6.0,High-level batteries-included neural network training library for Pytorch.,2.0,2.0,4.0,15,https://pypi.org/project/pywick,2020-01-20 22:14:21+00:00,,127.0,127.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n677,Parfit,jmcarpenter2/parfit,parfit,,,hyperopt,['sklearn'],https://github.com/jmcarpenter2/parfit,https://github.com/jmcarpenter2/parfit,MIT,2017-11-22 20:17:51+00:00,2020-04-04 19:26:44+00:00,2020-04-04 19:26:37+00:00,26.0,5.0,5.0,199.0,127.0,,,23.0,\"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..\",6.0,6.0,2.0,15,https://pypi.org/project/parfit,2018-10-11 22:03:16+00:00,,5005.0,5005.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n678,NeuralQA,victordibia/neuralqa,neuralqa,,,nlp,,https://github.com/victordibia/neuralqa,https://github.com/victordibia/neuralqa,MIT,2020-05-19 03:55:56+00:00,2020-12-14 23:14:31+00:00,2020-09-25 19:39:12+00:00,23.0,18.0,8.0,181.0,310.0,,,26.0,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,1.0,1.0,3.0,15,https://pypi.org/project/neuralqa,2020-07-29 16:39:37+00:00,,105.0,105.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n679,steppy,minerva-ml/steppy,steppy,,,ml-experiments,,https://github.com/minerva-ml/steppy,https://github.com/minerva-ml/steppy,MIT,2018-01-15 09:40:49+00:00,2018-11-23 09:49:59+00:00,2018-11-23 09:47:34+00:00,31.0,16.0,50.0,123.0,69.0,2018-11-23 09:49:59+00:00,0.1.16,16.0,\"Lightweight, Python library for fast and reproducible experimentation.\",40.0,35.0,5.0,15,https://pypi.org/project/steppy,2018-11-23 09:49:59+00:00,5.0,94.0,94.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n680,ModelChimp,ModelChimp/modelchimp,modelchimp,,,ml-experiments,,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03+00:00,2020-12-14 23:21:01+00:00,2019-12-06 08:58:55+00:00,11.0,4.0,10.0,118.0,357.0,2019-04-09 10:43:15+00:00,0.4.0,37.0,Experiment tracking for machine and deep learning projects.,,,2.0,15,https://pypi.org/project/modelchimp,2019-04-09 10:41:20+00:00,,1760.0,1785.0,,,,False,3,,,,modelchimp/modelchimp-server,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793+00:00,,634.0,,,,,,,,,,,,,,,\n681,nptsne,biovault/nptsne,nptsne,,,data-viz,,https://github.com/biovault/nptsne,https://github.com/biovault/nptsne,Apache-2.0,2019-06-28 08:40:25+00:00,2020-11-16 13:56:05+00:00,2020-11-13 16:38:47+00:00,2.0,7.0,2.0,24.0,834.0,2020-09-10 23:54:14+00:00,1.1.0,2.0,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,2.0,2.0,3.0,15,https://pypi.org/project/nptsne,2020-09-10 23:54:14+00:00,,168.0,168.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n682,DE⫶TR,facebookresearch/detr,,,,image,['pytorch'],https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52+00:00,2020-12-04 20:03:39+00:00,2020-11-15 16:03:45+00:00,786.0,56.0,195.0,5591.0,41.0,2020-06-29 16:41:01+00:00,0.2,1.0,End-to-End Object Detection with Transformers.,,,19.0,14,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n683,PySlowFast,facebookresearch/SlowFast,,,,image,['pytorch'],https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26+00:00,2020-12-08 22:41:05+00:00,2020-12-08 22:40:54+00:00,574.0,151.0,182.0,3177.0,92.0,,,,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,2.0,2.0,18.0,14,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n684,ENAS,carpedm20/ENAS-pytorch,,,,hyperopt,,https://github.com/carpedm20/ENAS-pytorch,https://github.com/carpedm20/ENAS-pytorch,Apache-2.0,2018-02-15 04:54:37+00:00,2020-12-09 18:13:03+00:00,2020-06-16 07:23:32+00:00,436.0,37.0,7.0,2354.0,53.0,,,,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,,,6.0,14,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n685,GraphSAGE,williamleif/GraphSAGE,,,,graph,['tensorflow'],https://github.com/williamleif/GraphSAGE,https://github.com/williamleif/GraphSAGE,MIT,2017-05-29 15:36:22+00:00,2020-11-13 17:49:54+00:00,2018-09-19 19:27:00+00:00,588.0,77.0,58.0,2029.0,59.0,,,,Representation learning on large graphs using stochastic graph convolutions.,,,9.0,14,,,,,,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n686,ZhuSuan,thu-ml/zhusuan,,,,probabilistics,['tensorflow'],https://github.com/thu-ml/zhusuan,https://github.com/thu-ml/zhusuan,MIT,2016-07-18 13:31:38+00:00,2020-01-09 14:51:27+00:00,2019-08-05 10:00:04+00:00,370.0,8.0,53.0,1985.0,439.0,,,,\"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.\",,,20.0,14,,,,,,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n687,lazynlp,chiphuyen/lazynlp,,,,web-scraping,,https://github.com/chiphuyen/lazynlp,https://github.com/chiphuyen/lazynlp,MIT,2019-02-27 23:23:19+00:00,2020-11-11 12:16:30+00:00,2019-10-07 16:52:30+00:00,281.0,5.0,3.0,1881.0,14.0,2019-03-02 17:38:27+00:00,1.0.0,1.0,Library to scrape and clean web pages to create massive datasets.,,,4.0,14,,,,,,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n688,OpenNE,thunlp/OpenNE,,,,graph,['tensorflow'],https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20+00:00,2020-11-30 14:02:23+00:00,2019-08-12 10:56:27+00:00,441.0,50.0,81.0,1378.0,98.0,,,,An Open-Source Package for Network Embedding (NE).,,,10.0,14,,,,,,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n689,Higher,facebookresearch/higher,,,,pytorch-utils,['pytorch'],https://github.com/facebookresearch/higher,https://github.com/facebookresearch/higher,Apache-2.0,2019-09-06 18:58:36+00:00,2020-11-23 06:15:24+00:00,2020-10-28 16:53:07+00:00,71.0,22.0,46.0,998.0,28.0,,,,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,25.0,25.0,6.0,14,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n690,MedicalTorch,perone/medicaltorch,medicaltorch,,,medical-data,['pytorch'],https://github.com/perone/medicaltorch,https://github.com/perone/medicaltorch,Apache-2.0,2018-02-27 02:50:07+00:00,2020-09-30 13:21:57+00:00,2019-08-15 10:03:51+00:00,106.0,14.0,9.0,699.0,55.0,2018-11-24 00:33:11+00:00,0.2,2.0,A medical imaging framework for Pytorch.,9.0,9.0,7.0,14,https://pypi.org/project/medicaltorch,2018-11-24 00:29:36+00:00,,68.0,68.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n691,torchsde,google-research/torchsde,,,,pytorch-utils,['pytorch'],https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11+00:00,2020-12-14 10:23:06+00:00,2020-10-30 16:15:49+00:00,49.0,6.0,25.0,611.0,137.0,2020-10-22 16:12:07+00:00,0.2.1,3.0,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,,,4.0,14,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n692,Anchor,marcotcr/anchor,anchor_exp,,,interpretability,,https://github.com/marcotcr/anchor,https://github.com/marcotcr/anchor,BSD-2-Clause,2018-02-02 23:38:50+00:00,2020-09-10 17:49:26+00:00,2020-09-10 17:48:28+00:00,86.0,8.0,42.0,607.0,39.0,,,8.0,Code for High-Precision Model-Agnostic Explanations paper.,,,8.0,14,https://pypi.org/project/anchor_exp,2020-06-26 20:56:50+00:00,,622.0,622.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n693,Adversary,airbnb/artificial-adversary,Adversary,,,adversarial,,https://github.com/airbnb/artificial-adversary,https://github.com/airbnb/artificial-adversary,MIT,2018-08-08 04:42:11+00:00,2018-10-14 05:34:44+00:00,2018-08-29 15:31:30+00:00,47.0,7.0,,339.0,15.0,2018-08-29 15:14:41+00:00,1.1.1,3.0,Tool to generate adversarial text examples and test machine learning models against them.,6.0,6.0,5.0,14,https://pypi.org/project/Adversary,2018-08-29 15:14:41+00:00,,45.0,45.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n694,Tez,abhishekkrthakur/tez,tez,,,pytorch-utils,['pytorch'],https://github.com/abhishekkrthakur/tez,https://github.com/abhishekkrthakur/tez,Apache-2.0,2020-11-13 10:19:22+00:00,2020-12-13 08:48:54+00:00,2020-12-13 08:48:48+00:00,29.0,5.0,2.0,317.0,,2020-12-11 14:00:44+00:00,0.0.7,6.0,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,,,1.0,14,https://pypi.org/project/tez,2020-12-11 14:00:44+00:00,,883.0,883.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n695,TransferNLP,feedly/transfer-nlp,transfer-nlp,,,nlp,['pytorch'],https://github.com/feedly/transfer-nlp,https://github.com/feedly/transfer-nlp,MIT,2019-03-12 20:00:31+00:00,2020-05-28 19:00:02+00:00,2020-05-28 17:31:53+00:00,18.0,4.0,19.0,285.0,465.0,2020-05-28 19:00:02+00:00,0.1.6,8.0,NLP library designed for reproducible experimentation management.,,,7.0,14,https://pypi.org/project/transfer-nlp,2020-05-28 19:00:02+00:00,,106.0,106.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n696,nx-altair,Zsailer/nx_altair,nx-altair,,,data-viz,['jupyter'],https://github.com/Zsailer/nx_altair,https://github.com/Zsailer/nx_altair,MIT,2018-05-13 00:10:12+00:00,2020-09-30 12:01:08+00:00,2020-06-02 21:10:26+00:00,19.0,4.0,4.0,150.0,51.0,2020-06-02 21:11:12+00:00,0.1.6,8.0,Draw interactive NetworkX graphs with Altair.,2.0,,3.0,14,https://pypi.org/project/nx-altair,2020-06-02 21:11:12+00:00,2.0,220.0,220.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n697,DeepNeuro,QTIM-Lab/DeepNeuro,deepneuro,,,medical-data,,https://github.com/QTIM-Lab/DeepNeuro,https://github.com/QTIM-Lab/DeepNeuro,MIT,2017-06-01 19:36:34+00:00,2020-06-24 13:00:15+00:00,2020-06-24 13:00:14+00:00,28.0,25.0,16.0,95.0,285.0,2019-04-11 16:57:02+00:00,0.2.2,5.0,A deep learning python package for neuroimaging data. Made by:.,1.0,1.0,6.0,14,https://pypi.org/project/deepneuro,2019-04-11 16:57:02+00:00,,48.0,48.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n698,Hypermax,electricbrainio/hypermax,hypermax,,,hyperopt,,https://github.com/electricbrainio/hypermax,https://github.com/electricbrainio/hypermax,BSD-3-Clause,2018-07-27 18:43:01+00:00,2020-08-02 18:08:50+00:00,2020-08-02 18:08:46+00:00,14.0,3.0,1.0,94.0,207.0,2019-10-23 15:40:12+00:00,0.5.1,11.0,\"Better, faster hyper-parameter optimization.\",4.0,4.0,9.0,14,https://pypi.org/project/hypermax,2019-10-23 15:40:12+00:00,,51.0,51.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n699,StarSpace,facebookresearch/StarSpace,,,,ml-frameworks,,https://github.com/facebookresearch/StarSpace,https://github.com/facebookresearch/StarSpace,MIT,2017-06-28 17:50:18+00:00,2020-05-18 03:40:57+00:00,2019-12-13 19:03:25+00:00,475.0,45.0,146.0,3501.0,138.0,,,,\"Learning embeddings for classification, retrieval and ranking.\",,,17.0,13,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n700,OpenKE,thunlp/OpenKE,,,,graph,,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,MIT,2017-10-08 11:20:23+00:00,2020-04-08 11:00:38+00:00,2020-04-08 11:00:32+00:00,705.0,45.0,222.0,2266.0,97.0,,,,An Open-Source Package for Knowledge Embedding (KE).,,,10.0,13,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n701,pycls,facebookresearch/pycls,,,,image,['pytorch'],https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17+00:00,2020-11-29 17:48:12+00:00,2020-11-20 22:19:36+00:00,142.0,10.0,44.0,1384.0,66.0,2020-04-15 19:33:22+00:00,0.1,1.0,\"Codebase for Image Classification Research, written in PyTorch.\",1.0,1.0,7.0,13,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n702,Medical Detection Toolkit,MIC-DKFZ/medicaldetectiontoolkit,,,,medical-data,['pytorch'],https://github.com/MIC-DKFZ/medicaldetectiontoolkit,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,Apache-2.0,2018-10-12 12:34:57+00:00,2020-10-14 11:17:37+00:00,2020-04-18 12:52:08+00:00,226.0,27.0,85.0,870.0,36.0,,,,\"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..\",,,3.0,13,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n703,Torch-Struct,harvardnlp/pytorch-struct,,,,pytorch-utils,['pytorch'],https://github.com/harvardnlp/pytorch-struct,https://github.com/harvardnlp/pytorch-struct,MIT,2019-08-26 19:34:30+00:00,2020-12-05 20:47:02+00:00,2020-07-30 15:58:25+00:00,67.0,13.0,20.0,862.0,244.0,2019-11-25 04:08:05+00:00,0.4,1.0,\"Fast, general, and tested differentiable structured prediction in PyTorch.\",,,10.0,13,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n704,StackImpact,stackimpact/stackimpact-python,stackimpact,,,system-monitoring,,https://github.com/stackimpact/stackimpact-python,https://github.com/stackimpact/stackimpact-python,BSD-3-Clause,2017-06-26 13:12:06+00:00,2019-05-14 14:48:14+00:00,2019-05-14 14:48:05+00:00,21.0,6.0,,673.0,31.0,2019-05-14 14:13:15+00:00,1.2.6,19.0,\"DEPRECATED StackImpact Python Profiler - Production-Grade Performance Profiler: CPU, memory allocations, blocking..\",6.0,5.0,1.0,13,https://pypi.org/project/stackimpact,2019-05-14 14:13:15+00:00,1.0,,,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n705,Julius,adefossez/julius,julius,,,audio,['pytorch'],https://github.com/adefossez/julius,https://github.com/adefossez/julius,MIT,2020-10-26 10:54:21+00:00,2020-12-10 12:50:51+00:00,2020-12-10 12:50:47+00:00,6.0,,3.0,154.0,,2020-11-25 18:04:38+00:00,0.2.0,4.0,Fast PyTorch based DSP for audio and 1D signals.,1.0,1.0,2.0,13,https://pypi.org/project/julius,2020-11-25 18:04:38+00:00,,204.0,204.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n706,Auptimizer,LGE-ARC-AdvancedAI/auptimizer,auptimizer,,,hyperopt,,https://github.com/LGE-ARC-AdvancedAI/auptimizer,https://github.com/LGE-ARC-AdvancedAI/auptimizer,GPL-3.0,2019-09-12 01:08:37+00:00,2020-12-04 01:00:53+00:00,2020-12-04 00:51:11+00:00,20.0,,3.0,152.0,68.0,2020-11-19 05:14:22+00:00,1.4,6.0,An automatic ML model optimization tool.,,,11.0,13,https://pypi.org/project/auptimizer,2020-11-19 00:23:49+00:00,,144.0,144.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n707,PySparNN,facebookresearch/pysparnn,,,,nn-search,,https://github.com/facebookresearch/pysparnn,https://github.com/facebookresearch/pysparnn,BSD-3-Clause,2016-03-28 20:43:42+00:00,2020-10-02 06:01:01+00:00,2018-01-31 16:50:23+00:00,141.0,11.0,13.0,836.0,147.0,,,,Approximate Nearest Neighbor Search for Sparse Data in Python!.,,,5.0,12,,,,,,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n708,Attribution Priors,suinleelab/attributionpriors,attributionpriors,,,interpretability,\"['tensorflow', 'pytorch']\",https://github.com/suinleelab/attributionpriors,https://github.com/suinleelab/attributionpriors,MIT,2019-06-24 23:54:24+00:00,2020-09-12 05:57:02+00:00,2020-09-12 05:56:51+00:00,3.0,1.0,3.0,70.0,64.0,2019-07-18 21:13:37+00:00,0.1.3,4.0,Tools for training explainable models using attribution priors.,,,6.0,12,https://pypi.org/project/attributionpriors,2019-10-31 18:03:05+00:00,,58.0,58.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n709,LazyCluster,ml-tooling/lazycluster,lazycluster,,,distributed-ml,,https://github.com/ml-tooling/lazycluster,https://github.com/ml-tooling/lazycluster,Apache-2.0,2019-08-07 08:05:13+00:00,2020-12-14 15:24:54+00:00,2020-12-14 15:24:53+00:00,4.0,,,30.0,,2020-12-14 15:25:59+00:00,0.2.4,5.0,Distributed machine learning made simple.,2.0,2.0,2.0,12,https://pypi.org/project/lazycluster,2020-12-14 14:49:33+00:00,,83.0,83.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n710,MedicalNet,Tencent/MedicalNet,,,,medical-data,,https://github.com/Tencent/MedicalNet,https://github.com/Tencent/MedicalNet,MIT,2019-07-17 09:53:10+00:00,2020-08-27 13:37:27+00:00,2020-08-27 13:37:26+00:00,262.0,40.0,14.0,1014.0,26.0,,,,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,,,1.0,11,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n711,Devol,joeddav/devol,,,,hyperopt,,https://github.com/joeddav/devol,https://github.com/joeddav/devol,MIT,2017-02-10 03:07:54+00:00,2020-07-05 21:56:59+00:00,2020-07-05 21:56:58+00:00,109.0,7.0,20.0,923.0,116.0,,,,Genetic neural architecture search with Keras.,,,18.0,11,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n712,NeoML,neoml-lib/neoml,,,,ml-frameworks,,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,,2020-06-14 17:37:36+00:00,2020-12-14 15:28:08+00:00,2020-12-01 17:09:56+00:00,75.0,16.0,13.0,546.0,155.0,2020-06-14 17:44:03+00:00,NeoML-master_1.0.1.0,1.0,Machine learning framework for both deep learning and traditional algorithms.,,,15.0,11,,,,,,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n713,ONNX-T5,abelriboulot/onnxt5,onnxt5,,,nlp,,https://github.com/abelriboulot/onnxt5,https://github.com/abelriboulot/onnxt5,Apache-2.0,2020-08-01 09:38:35+00:00,2020-09-02 11:27:43+00:00,2020-09-02 11:27:37+00:00,15.0,3.0,5.0,131.0,68.0,2020-08-15 15:25:00+00:00,0.1.6,10.0,\"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..\",,,2.0,11,https://pypi.org/project/onnxt5,2020-09-02 11:22:09+00:00,,129.0,129.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n714,Hypertunity,gdikov/hypertunity,hypertunity,,,hyperopt,,https://github.com/gdikov/hypertunity,https://github.com/gdikov/hypertunity,Apache-2.0,2019-06-02 12:04:55+00:00,2020-01-26 23:14:49+00:00,2020-01-26 22:53:29+00:00,9.0,,2.0,118.0,64.0,2020-01-26 23:08:16+00:00,1.0.1,7.0,A toolset for black-box hyperparameter optimisation.,2.0,2.0,2.0,11,https://pypi.org/project/hypertunity,2020-01-26 23:08:16+00:00,,46.0,46.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n715,traintool,jrieke/traintool,traintool,,,ml-experiments,\"['pytorch', 'tensorflow', 'sklearn']\",https://github.com/jrieke/traintool,https://github.com/jrieke/traintool,Apache-2.0,2020-09-30 22:23:05+00:00,2020-11-18 02:51:43+00:00,2020-11-18 02:50:52+00:00,1.0,,,8.0,120.0,2020-11-02 02:25:32+00:00,0.0.3,3.0,Train off-the-shelf machine learning models in one line of code.,,,1.0,10,https://pypi.org/project/traintool,2020-11-02 02:25:32+00:00,,65.0,65.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n716,GraphVite,DeepGraphLearning/graphvite,,milagraph/graphvite,,graph,,https://github.com/DeepGraphLearning/graphvite,https://github.com/DeepGraphLearning/graphvite,Apache-2.0,2019-07-16 15:48:20+00:00,2020-03-18 23:16:34+00:00,2020-03-18 23:16:04+00:00,114.0,22.0,51.0,809.0,14.0,,,,GraphVite: A General and High-performance Graph Embedding System.,,,1.0,9,,,,,,https://anaconda.org/milagraph/graphvite,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n"
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01:19:20+00:00,2020-12-16 11:57:42+00:00,2020-12-16 10:30:59+00:00,83455.0,4229.0,25284.0,151573.0,101583.0,2020-12-14 18:16:52+00:00,2.4.0,110.0,An Open Source Machine Learning Framework for Everyone.,135036.0,112512.0,3455.0,44,https://pypi.org/project/tensorflow,2020-12-14 17:58:05+00:00,22524.0,8593441.0,8593441.0,https://anaconda.org/anaconda/tensorflow,2020-11-02 11:16:39+00:00,0.0,True,1,,,,,,,,,,,,,,,,,,,,,,,\n1,pandas,pandas-dev/pandas,pandas,pandas,,data-containers,['pandas'],https://github.com/pandas-dev/pandas,https://github.com/pandas-dev/pandas,BSD-3-Clause,2010-08-24 01:37:33+00:00,2020-12-16 11:53:11+00:00,2020-12-16 02:36:56+00:00,11550.0,3571.0,16099.0,27656.0,25248.0,2020-12-07 15:07:55+00:00,1.1.5,86.0,\"Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R..\",426649.0,349865.0,2537.0,43,https://pypi.org/project/pandas,2020-12-08 15:36:34+00:00,76784.0,25259242.0,25259917.0,https://anaconda.org/anaconda/pandas,2020-10-31 18:02:02+00:00,0.0,True,1,56097.0,,,,,,,,,,,,,,,,,,,,,,\n2,numpy,numpy/numpy,numpy,numpy,,data-containers,,https://github.com/numpy/numpy,https://github.com/numpy/numpy,BSD-3-Clause,2010-09-13 23:02:39+00:00,2020-12-16 12:42:21+00:00,2020-12-16 12:42:20+00:00,5089.0,2248.0,7185.0,15733.0,24976.0,2020-11-05 19:11:49+00:00,1.19.4,92.0,The fundamental package for scientific computing with Python.,744465.0,574743.0,1223.0,42,https://pypi.org/project/numpy,2020-12-03 18:43:23+00:00,169722.0,40110227.0,40116048.0,https://anaconda.org/anaconda/numpy,2020-11-05 19:11:49+00:00,0.0,True,1,285237.0,,,,,,,,,,,,,,,,,,,,,,\n3,scikit-learn,scikit-learn/scikit-learn,scikit-learn,scikit-learn,,ml-frameworks,['sklearn'],https://github.com/scikit-learn/scikit-learn,https://github.com/scikit-learn/scikit-learn,BSD-3-Clause,2010-08-17 09:43:38+00:00,2020-12-16 12:17:34+00:00,2020-12-16 10:35:25+00:00,20713.0,2301.0,6559.0,43398.0,26364.0,2020-08-25 18:28:32+00:00,0.23.2,51.0,scikit-learn: machine learning in Python.,212000.0,174112.0,2102.0,41,https://pypi.org/project/scikit-learn,2020-12-02 17:56:43+00:00,37888.0,10094646.0,10094656.0,https://anaconda.org/anaconda/scikit-learn,2020-11-01 13:42:30.305000+00:00,0.0,True,1,614.0,,,,,,,,,,,,,,,,,,,,,,\n4,Matplotlib,matplotlib/matplotlib,matplotlib,,,data-viz,,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,Python-2.0,2011-02-19 03:17:12+00:00,2020-12-16 10:27:59+00:00,2020-12-16 05:23:55+00:00,5541.0,1653.0,5876.0,12771.0,37312.0,2020-11-12 04:43:18+00:00,3.3.3,61.0,matplotlib: plotting with Python.,379318.0,300214.0,1177.0,40,https://pypi.org/project/matplotlib,2020-11-12 04:43:18+00:00,79104.0,9536390.0,9536390.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n5,PyTorch,pytorch/pytorch,torch,,https://pytorch.org/docs/stable/index.html,ml-frameworks,['pytorch'],https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41+00:00,2020-12-16 12:02:41+00:00,2020-12-16 10:55:11+00:00,11451.0,7100.0,12268.0,44791.0,32190.0,2020-12-10 17:19:58+00:00,1.7.1,30.0,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,61760.0,55078.0,2429.0,39,https://pypi.org/project/torch,2020-12-10 16:22:02+00:00,6682.0,1674458.0,1674458.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n6,Scrapy,scrapy/scrapy,scrapy,,,web-scraping,,https://github.com/scrapy/scrapy,https://github.com/scrapy/scrapy,BSD-3-Clause,2010-02-22 02:01:14+00:00,2020-12-15 20:26:01+00:00,2020-12-03 20:36:47+00:00,8948.0,750.0,1894.0,39197.0,8549.0,2020-11-17 21:01:36+00:00,2.4.1,80.0,\"Scrapy, a fast high-level web crawling & scraping framework for Python.\",29870.0,21500.0,457.0,38,https://pypi.org/project/scrapy,2020-11-17 12:04:15+00:00,8370.0,473806.0,473806.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n7,PySpark,apache/spark,pyspark,,,ml-frameworks,['spark'],https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08+00:00,2020-12-16 11:11:06+00:00,2020-12-16 08:20:03+00:00,23032.0,218.0,,28318.0,28806.0,2020-09-07 15:29:07+00:00,3.0.1,21.0,Apache Spark Python API.,1273.0,513.0,2371.0,38,https://pypi.org/project/pyspark,2020-09-07 15:29:07+00:00,760.0,6937049.0,6937049.0,,,,True,1,,stable/spark,,,,,,,,,,,,,,,,,,,,,\n8,Pillow,python-pillow/Pillow,Pillow,,,image,,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39+00:00,2020-12-14 18:35:33+00:00,2020-12-12 17:54:27+00:00,1536.0,238.0,1817.0,8002.0,10896.0,2020-10-22 19:19:42+00:00,8.0.1,76.0,The friendly PIL fork (Python Imaging Library).,475723.0,364297.0,341.0,38,https://pypi.org/project/Pillow,2020-10-22 19:17:46+00:00,111426.0,14620633.0,14620633.0,,,,False,1,,,,,,,,,,,,,,,,,,,,,,,\n9,youtube-dl,ytdl-org/youtube-dl,youtube_dl,,,web-scraping,,https://github.com/ytdl-org/youtube-dl,https://github.com/ytdl-org/youtube-dl,Unlicense,2010-10-31 14:35:07+00:00,2020-12-16 11:33:24+00:00,2020-12-16 11:30:41+00:00,2947.0,3932.0,18917.0,85196.0,18021.0,2020-12-13 17:58:53+00:00,2020.12.14,927.0,Command-line program to download videos from YouTube.com and other video sites.,2854.0,,913.0,37,https://pypi.org/project/youtube_dl,2020-12-08 21:28:09+00:00,2854.0,1868278.0,3395461.0,,,,True,1,45815503.0,,youtube-dl,,,,,,,,,,,,,,,,,,,,\n10,spaCy,explosion/spaCy,spacy,,,nlp,,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40+00:00,2020-12-16 06:32:59+00:00,2020-12-16 06:31:55+00:00,3185.0,187.0,4099.0,17842.0,11712.0,2020-12-11 14:45:05+00:00,2.3.5,169.0,Industrial-strength Natural Language Processing (NLP) with Python and Cython.,22421.0,19355.0,537.0,37,https://pypi.org/project/spacy,2020-12-11 14:45:05+00:00,3066.0,999091.0,999148.0,,,,True,1,2883.0,,,,,,,,,,,,,,,,,,,,,,\n11,Celery,celery/celery,celery,,,data-pipelines,,https://github.com/celery/celery,https://github.com/celery/celery,BSD-3-Clause,2009-04-24 11:31:24+00:00,2020-12-16 09:54:01+00:00,2020-12-15 14:29:11+00:00,3904.0,487.0,3907.0,16374.0,11468.0,2020-12-08 12:51:27+00:00,5.0.4,170.0,Asynchronous task queue/job queue based on distributed message passing.,74620.0,46386.0,1067.0,37,https://pypi.org/project/celery,2020-12-08 12:51:27+00:00,28234.0,2335268.0,2335268.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n12,networkx,networkx/networkx,networkx,,,graph,,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44+00:00,2020-12-16 06:37:28+00:00,2020-12-15 17:08:23+00:00,2155.0,253.0,2274.0,8353.0,6348.0,2020-08-22 20:10:33+00:00,networkx-2.5,52.0,Network Analysis in Python.,82938.0,62120.0,482.0,37,https://pypi.org/project/networkx,2020-08-22 20:38:37+00:00,20818.0,5648841.0,5648841.0,,,,True,1,51.0,,,,,,,,,,,,,,,,,,,,,,\n13,boto3,boto/boto3,boto3,,,db-clients,,https://github.com/boto/boto3,https://github.com/boto/boto3,Apache-2.0,2014-10-03 21:38:03+00:00,2020-12-15 20:30:55+00:00,2020-12-15 19:09:40+00:00,1290.0,302.0,1925.0,5996.0,3967.0,2020-12-15 20:30:55+00:00,1.16.37,724.0,AWS SDK for Python.,111433.0,88343.0,108.0,37,https://pypi.org/project/boto3,2020-12-15 20:30:55+00:00,23090.0,45822608.0,45822608.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n14,transformers,huggingface/transformers,transformers,,,nlp,\"['pytorch', 'tensorflow']\",https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00+00:00,2020-12-16 12:31:00+00:00,2020-12-16 12:03:32+00:00,9354.0,553.0,4840.0,38147.0,6127.0,2020-12-09 17:07:39+00:00,4.0.1,43.0,Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.,6306.0,6178.0,732.0,36,https://pypi.org/project/transformers,2020-12-09 17:04:36+00:00,128.0,921137.0,921186.0,,,,True,1,1235.0,,,,,,,,,,,,,,,,,,,,,,\n15,Faker,joke2k/faker,Faker,,,data-loading,,https://github.com/joke2k/faker,https://github.com/joke2k/faker,MIT,2012-11-12 23:00:09+00:00,2020-12-16 02:04:34+00:00,2020-12-15 21:31:29+00:00,1318.0,132.0,342.0,11735.0,2489.0,2020-12-15 21:37:38+00:00,5.0.2,102.0,Faker is a Python package that generates fake data for you.,26156.0,21444.0,377.0,36,https://pypi.org/project/Faker,2020-12-15 21:37:28+00:00,4712.0,2066030.0,2066030.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n16,redis,andymccurdy/redis-py,redis,,,db-clients,,https://github.com/andymccurdy/redis-py,https://github.com/andymccurdy/redis-py,MIT,2009-11-06 10:22:26+00:00,2020-12-14 09:50:16+00:00,2020-11-22 20:52:44+00:00,1903.0,62.0,802.0,8973.0,1550.0,2020-06-01 21:30:33+00:00,3.5.3,66.0,Redis Python Client.,49438.0,,248.0,36,https://pypi.org/project/redis,2020-06-01 21:30:33+00:00,49438.0,8623816.0,8623816.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n17,SymPy,sympy/sympy,sympy,sympy,,others,,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14+00:00,2020-12-16 11:07:04+00:00,2020-12-16 00:03:28+00:00,3209.0,3953.0,7041.0,7656.0,45435.0,2020-12-12 23:23:00+00:00,1.7.1,36.0,A computer algebra system written in pure Python.,33576.0,27154.0,1017.0,36,https://pypi.org/project/sympy,2020-12-12 23:23:00+00:00,6422.0,688616.0,693226.0,https://anaconda.org/anaconda/sympy,2020-11-24 22:42:59.563000+00:00,0.0,True,1,410350.0,,,,,,,,,,,,,,,,,,,,,,\n18,psutil,giampaolo/psutil,psutil,conda-forge/psutil,,system-monitoring,,https://github.com/giampaolo/psutil,https://github.com/giampaolo/psutil,BSD-3-Clause,2014-05-23 14:01:48+00:00,2020-12-14 21:10:09+00:00,2020-12-14 21:10:03+00:00,1055.0,224.0,1204.0,6851.0,5583.0,2020-10-24 14:00:54+00:00,5.7.3,82.0,Cross-platform lib for process and system monitoring in Python.,91981.0,67315.0,153.0,36,https://pypi.org/project/psutil,2020-10-24 14:00:54+00:00,24666.0,12093871.0,12093871.0,https://anaconda.org/conda-forge/psutil,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n19,StatsModels,statsmodels/statsmodels,statsmodels,statsmodels,,ml-frameworks,,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50+00:00,2020-12-15 20:49:29+00:00,2020-12-15 18:29:34+00:00,2114.0,2042.0,2223.0,5807.0,13503.0,2020-12-02 16:14:51+00:00,0.12.1,24.0,Statsmodels: statistical modeling and econometrics in Python.,40842.0,34186.0,295.0,36,https://pypi.org/project/statsmodels,2020-10-29 16:36:43+00:00,6656.0,2442663.0,2442663.0,https://anaconda.org/anaconda/statsmodels,2020-12-02 16:14:51+00:00,0.0,True,1,25.0,,,,,,,,,,,,,,,,,,,,,,\n20,Tensorboard,tensorflow/tensorboard,tensorboard,,,ml-experiments,['tensorflow'],https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07+00:00,2020-12-16 05:53:33+00:00,2020-12-16 05:25:34+00:00,1326.0,544.0,897.0,5083.0,4115.0,2020-11-12 03:15:42+00:00,2.4.0,35.0,TensorFlow's Visualization Toolkit.,51927.0,48313.0,248.0,36,https://pypi.org/project/tensorboard,2020-11-12 03:15:33+00:00,3614.0,5419086.0,5419086.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n21,scikit-image,scikit-image/scikit-image,scikit-image,,,image,,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,BSD-2-Clause,2011-07-07 22:07:20+00:00,2020-12-16 09:39:00+00:00,2020-12-16 04:16:37+00:00,1699.0,641.0,1467.0,4093.0,12441.0,2020-07-06 09:37:07+00:00,0.17.2,33.0,Image processing in Python.,70866.0,56092.0,471.0,36,https://pypi.org/project/scikit-image,2020-12-13 22:47:52+00:00,14774.0,1674419.0,1674419.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n22,pymongo,mongodb/mongo-python-driver,pymongo,,,db-clients,,https://github.com/mongodb/mongo-python-driver,https://github.com/mongodb/mongo-python-driver,Apache-2.0,2009-01-15 15:18:06+00:00,2020-12-16 00:05:12+00:00,2020-12-15 03:03:19+00:00,969.0,7.0,,3181.0,4611.0,2020-12-02 23:37:26+00:00,3.11.2,115.0,PyMongo - the Python driver for MongoDB.,116907.0,81045.0,179.0,36,https://pypi.org/project/pymongo,2020-12-02 23:31:25+00:00,35862.0,6209405.0,6209405.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n23,SQLAlchemy,sqlalchemy/sqlalchemy,SQLAlchemy,conda-forge/sqlalchemy,,db-clients,,https://github.com/sqlalchemy/sqlalchemy,https://github.com/sqlalchemy/sqlalchemy,MIT,2018-11-27 03:35:03+00:00,2020-12-15 18:04:21+00:00,2020-12-15 16:24:05+00:00,477.0,155.0,5358.0,3084.0,13409.0,2020-10-12 22:33:21+00:00,rel_1_3_20,205.0,The Database Toolkit for Python.,305753.0,222047.0,447.0,36,https://pypi.org/project/SQLAlchemy,2020-11-02 21:20:19+00:00,83706.0,13158021.0,13158090.0,https://anaconda.org/conda-forge/sqlalchemy,,,True,1,1044.0,,,,,,,,,,,,,,,,,,,,,,\n24,h5py,h5py/h5py,h5py,,,data-containers,,https://github.com/h5py/h5py,https://github.com/h5py/h5py,BSD-3-Clause,2012-09-21 00:40:02+00:00,2020-12-11 13:07:01+00:00,2020-12-01 10:28:11+00:00,393.0,183.0,933.0,1453.0,3463.0,2020-11-06 14:30:54+00:00,3.1.0,25.0,HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.,117446.0,94510.0,156.0,36,https://pypi.org/project/h5py,2020-11-06 14:30:54+00:00,22936.0,5625150.0,5625166.0,,,,True,1,745.0,,,,,,,,,,,,,,,,,,,,,,\n25,Keras,keras-team/keras,keras,keras,https://keras.io,ml-frameworks,['keras'],https://github.com/keras-team/keras,https://github.com/keras-team/keras,MIT,2015-03-28 00:35:42+00:00,2020-12-11 22:00:44+00:00,2020-12-11 21:57:47+00:00,18680.0,3128.0,7215.0,50314.0,5352.0,2020-06-25 19:09:28+00:00,2.4.3,53.0,Deep Learning for humans.,14996.0,,891.0,35,https://pypi.org/project/keras,2020-06-24 22:40:48+00:00,14996.0,2050573.0,2050573.0,https://anaconda.org/anaconda/keras,2020-06-25 19:09:28+00:00,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n26,XGBoost,dmlc/xgboost,xgboost,,https://xgboost.readthedocs.io/en/latest/,ml-frameworks,,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03+00:00,2020-12-16 11:14:00+00:00,2020-12-16 10:02:25+00:00,7840.0,263.0,3598.0,20286.0,5152.0,2020-12-09 00:37:13+00:00,1.3.0,50.0,\"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..\",13751.0,12159.0,499.0,35,https://pypi.org/project/xgboost,2020-12-09 19:03:33+00:00,1592.0,2889347.0,2889369.0,,,,True,2,1811.0,,,,,,,,,,,,,,,,,,,,,,\n27,Airflow,apache/airflow,apache-airflow,conda-forge/airflow,,data-pipelines,,https://github.com/apache/airflow,https://github.com/apache/airflow,Apache-2.0,2015-04-13 18:04:58+00:00,2020-12-16 12:35:15+00:00,2020-12-16 11:55:28+00:00,7625.0,907.0,1711.0,19788.0,11124.0,2020-12-10 15:11:26+00:00,1.10.14,67.0,\"Platform to programmatically author, schedule, and monitor workflows.\",294.0,,1669.0,35,https://pypi.org/project/apache-airflow,2020-12-14 17:07:53+00:00,294.0,605099.0,650090.0,https://anaconda.org/conda-forge/airflow,,,True,1,62989.0,stable/airflow,,apache/airflow,https://hub.docker.com/r/apache/airflow,2020-12-16 11:26:49.179254+00:00,185.0,2992531.0,,,,,,,,,,,,,,,\n28,LightGBM,microsoft/LightGBM,lightgbm,lightgbm,,ml-frameworks,,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50+00:00,2020-12-16 03:56:52+00:00,2020-12-15 14:10:02+00:00,3136.0,88.0,1884.0,11936.0,2166.0,2020-12-08 17:54:08+00:00,3.1.1,24.0,\"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..\",5510.0,4954.0,190.0,35,https://pypi.org/project/lightgbm,2020-12-08 03:00:35+00:00,556.0,1523832.0,1525659.0,https://anaconda.org/anaconda/lightgbm,2020-12-08 17:54:08+00:00,0.0,True,2,80422.0,,,,,,,,,,,,,,,,,,,,,,\n29,gensim,RaRe-Technologies/gensim,gensim,,,nlp,,https://github.com/RaRe-Technologies/gensim,https://github.com/RaRe-Technologies/gensim,LGPL-2.1,2011-02-10 07:43:04+00:00,2020-11-30 16:35:17+00:00,2020-11-15 20:49:41+00:00,3825.0,349.0,1237.0,11487.0,3849.0,2020-05-04 05:55:15+00:00,3.8.3,83.0,Topic Modelling for Humans.,23987.0,19245.0,384.0,35,https://pypi.org/project/gensim,2020-11-15 12:53:37+00:00,4742.0,4646038.0,4646080.0,,,,False,1,2591.0,,,,,,,,,,,,,,,,,,,,,,\n30,Plotly,plotly/plotly.py,plotly,,,data-viz,,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08+00:00,2020-12-14 17:49:58+00:00,2020-12-11 15:56:41+00:00,1706.0,745.0,1033.0,8444.0,4879.0,2020-12-09 13:48:45+00:00,4.14.1,263.0,The interactive graphing library for Python (includes Plotly Express).,4991.0,5.0,157.0,35,https://pypi.org/project/plotly,2020-12-09 13:29:15+00:00,4982.0,2918090.0,2959011.0,,,,True,1,,,,,,,,,plotlywidget,https://www.npmjs.com/package/plotlywidget,2020-12-09 13:24:37.313000+00:00,4.0,40921.0,,,,,,,,,,\n31,torchvision,pytorch/vision,torchvision,,,image,['pytorch'],https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43+00:00,2020-12-16 12:30:54+00:00,2020-12-15 12:25:54+00:00,4100.0,458.0,1015.0,7951.0,1389.0,2020-12-10 17:10:41+00:00,0.8.2,21.0,\"Datasets, Transforms and Models specific to Computer Vision.\",41339.0,36727.0,344.0,35,https://pypi.org/project/torchvision,2020-12-10 16:27:20+00:00,4612.0,645252.0,645252.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n32,Seaborn,mwaskom/seaborn,seaborn,,,data-viz,,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19+00:00,2020-12-16 12:18:33+00:00,2020-12-12 23:42:14+00:00,1322.0,93.0,1630.0,7897.0,2720.0,2020-09-08 14:53:52+00:00,0.11.0,22.0,Statistical data visualization using matplotlib.,86320.0,73534.0,143.0,35,https://pypi.org/project/seaborn,2020-09-08 14:53:52+00:00,12786.0,2108268.0,2108269.0,,,,True,1,99.0,,,,,,,,,,,,,,,,,,,,,,\n33,dask,dask/dask,dask,,,distributed-ml,,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00+00:00,2020-12-16 04:00:13+00:00,2020-12-16 03:26:59+00:00,1197.0,688.0,2760.0,7627.0,6251.0,2020-12-11 01:53:58+00:00,2020.12.0,109.0,Parallel computing with task scheduling.,27632.0,23716.0,419.0,35,https://pypi.org/project/dask,2020-12-11 01:53:58+00:00,3916.0,1415993.0,1415993.0,,,,True,1,,stable/dask,,,,,,,,,,,,,,,,,,,,,\n34,Arrow,apache/arrow,pyarrow,,,data-containers,,https://github.com/apache/arrow,https://github.com/apache/arrow,Apache-2.0,2016-02-17 08:00:23+00:00,2020-12-16 12:40:32+00:00,2020-12-16 10:12:04+00:00,1685.0,112.0,535.0,6739.0,8115.0,2020-10-19 21:15:12+00:00,2.0.0,29.0,Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-..,1012.0,26.0,599.0,35,https://pypi.org/project/pyarrow,2020-10-19 21:15:12+00:00,986.0,9012990.0,9012990.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n35,PyMySQL,PyMySQL/PyMySQL,PyMySQL,,,db-clients,,https://github.com/PyMySQL/PyMySQL,https://github.com/PyMySQL/PyMySQL,MIT,2011-07-27 17:38:47+00:00,2020-12-10 02:51:07+00:00,2020-12-10 02:51:06+00:00,1238.0,18.0,515.0,6239.0,944.0,2020-09-10 07:38:01+00:00,0.10.1,32.0,Pure Python MySQL Client.,88459.0,70033.0,104.0,35,https://pypi.org/project/PyMySQL,2020-09-10 07:38:01+00:00,18426.0,5267359.0,5267359.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n36,google-cloud-storage,googleapis/google-cloud-python,google-cloud-storage,,,db-clients,,https://github.com/googleapis/google-cloud-python,https://github.com/googleapis/google-cloud-python,Apache-2.0,2014-01-28 15:51:47+00:00,2020-12-14 23:49:51+00:00,2020-10-29 21:15:18+00:00,1332.0,22.0,3312.0,3426.0,9049.0,2020-12-14 23:49:51+00:00,1.35.0,100.0,Google Cloud Client Library for Python.,2108.0,,311.0,35,https://pypi.org/project/google-cloud-storage,2020-12-14 23:49:51+00:00,2108.0,12484260.0,12484260.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n37,elasticsearch,elastic/elasticsearch-py,elasticsearch,,,db-clients,,https://github.com/elastic/elasticsearch-py,https://github.com/elastic/elasticsearch-py,Apache-2.0,2013-05-01 22:47:39+00:00,2020-12-15 22:32:29+00:00,2020-12-15 22:29:48+00:00,957.0,71.0,770.0,3041.0,1255.0,2020-12-09 17:27:30+00:00,7.10.1,64.0,Official Python low-level client for Elasticsearch.,29403.0,18829.0,167.0,35,https://pypi.org/project/elasticsearch,2020-12-09 17:25:00+00:00,10574.0,3909473.0,3909495.0,,,,True,2,44.0,,,,,,,,,,,,,,,,,,,,,,\n38,psycopg2,psycopg/psycopg2,psycopg2,psycopg2,,db-clients,,https://github.com/psycopg/psycopg2,https://github.com/psycopg/psycopg2,BSD-3-Clause-Attribution,2013-01-21 11:05:11+00:00,2020-12-05 11:06:47+00:00,2020-11-17 22:45:52+00:00,356.0,47.0,924.0,2001.0,2870.0,2020-09-06 22:41:27+00:00,2.8.6,45.0,PostgreSQL database adapter for the Python programming language.,401384.0,282172.0,110.0,35,https://pypi.org/project/psycopg2,2020-09-06 22:41:27+00:00,119212.0,5181050.0,5181050.0,https://anaconda.org/anaconda/psycopg2,2020-07-09 14:36:31+00:00,0.0,False,2,,,,,,,,,,,,,,,,,,,,,,,\n39,OpenAI Gym,openai/gym,gym,,,reinforcement-learning,,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16+00:00,2020-12-15 05:24:48+00:00,2020-11-09 18:24:26+00:00,6495.0,210.0,1060.0,22921.0,1237.0,2020-05-08 23:33:21+00:00,0.17.2,90.0,A toolkit for developing and comparing reinforcement learning algorithms.,20001.0,16439.0,271.0,34,https://pypi.org/project/gym,2020-05-08 23:33:21+00:00,3562.0,384399.0,384399.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n40,MXNet,apache/incubator-mxnet,mxnet,mxnet,,ml-frameworks,['mxnet'],https://github.com/apache/incubator-mxnet,https://github.com/apache/incubator-mxnet,Apache-2.0,2015-04-30 16:21:15+00:00,2020-12-16 08:14:38+00:00,2020-12-16 06:59:20+00:00,6790.0,1807.0,7536.0,19170.0,11484.0,2020-08-28 05:08:24+00:00,1.7.0,976.0,\"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..\",2094.0,1650.0,945.0,34,https://pypi.org/project/mxnet,2020-08-28 06:18:15+00:00,444.0,192757.0,193180.0,https://anaconda.org/anaconda/mxnet,2019-08-02 21:58:41+00:00,0.0,True,2,23279.0,,,,,,,,,,,,,,,,,,,,,,\n41,nltk,nltk/nltk,nltk,,,nlp,,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58+00:00,2020-12-12 21:05:28+00:00,2020-12-12 21:05:27+00:00,2397.0,243.0,1211.0,9492.0,,2019-08-20 10:55:21+00:00,3.4.5,39.0,Suite of libraries and programs for symbolic and statistical natural language processing for English.,103540.0,82548.0,380.0,34,https://pypi.org/project/nltk,2020-04-12 23:46:10+00:00,20992.0,4280283.0,4280283.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n42,Theano,Theano/Theano,theano,theano,,ml-frameworks,,https://github.com/Theano/Theano,https://github.com/Theano/Theano,BSD-3-Clause,2011-08-10 03:48:06+00:00,2020-09-05 10:41:31+00:00,2020-09-05 10:39:50+00:00,2501.0,674.0,2081.0,9302.0,28123.0,2020-07-27 16:13:54+00:00,1.0.5,45.0,\"Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-..\",15225.0,9751.0,382.0,34,https://pypi.org/project/theano,2020-07-27 16:13:54+00:00,5474.0,252856.0,252856.0,https://anaconda.org/anaconda/theano,2019-09-12 14:53:26+00:00,0.0,True,2,,,,,,,,,,,,,,,,,,,,,,,\n43,kafka-python,dpkp/kafka-python,kafka-python,,,db-clients,,https://github.com/dpkp/kafka-python,https://github.com/dpkp/kafka-python,Apache-2.0,2012-09-24 13:00:26+00:00,2020-12-03 15:19:38+00:00,2020-12-02 14:45:13+00:00,1099.0,135.0,1148.0,4133.0,2152.0,2020-09-30 07:33:37+00:00,2.0.1,36.0,Python client for Apache Kafka.,7500.0,5480.0,202.0,34,https://pypi.org/project/kafka-python,2020-09-30 07:24:01+00:00,2020.0,2225415.0,2225436.0,,,,True,2,1662.0,,,,,,,,,,,,,,,,,,,,,,\n44,Bokeh,bokeh/bokeh,bokeh,,,data-viz,,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01+00:00,2020-12-16 07:22:47+00:00,2020-12-08 07:51:38+00:00,3591.0,590.0,5709.0,14393.0,,2020-10-21 02:39:03+00:00,2.2.3,81.0,\"Interactive Data Visualization in the browser, from Python.\",34771.0,28899.0,540.0,33,https://pypi.org/project/bokeh,2020-12-08 11:21:40+00:00,5872.0,1065039.0,1065039.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n45,luigi,spotify/luigi,luigi,luigi,,data-pipelines,,https://github.com/spotify/luigi,https://github.com/spotify/luigi,Apache-2.0,2012-09-20 15:06:38+00:00,2020-12-15 23:29:23+00:00,2020-12-10 19:36:46+00:00,2208.0,67.0,832.0,14025.0,3939.0,2020-09-23 11:57:43+00:00,3.0.2,72.0,\"Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution,..\",1956.0,1280.0,546.0,33,https://pypi.org/project/luigi,2020-09-23 11:57:12+00:00,676.0,412025.0,412025.0,https://anaconda.org/anaconda/luigi,2020-07-20 20:26:45+00:00,,True,1,,stable/luigi,,,,,,,,,,,,,,,,,,,,,\n46,pytorch-lightning,PyTorchLightning/pytorch-lightning,pytorch-lightning,conda-forge/pytorch-lightning,,ml-frameworks,['pytorch'],https://github.com/PyTorchLightning/pytorch-lightning,https://github.com/PyTorchLightning/pytorch-lightning,Apache-2.0,2019-03-31 00:45:57+00:00,2020-12-16 11:53:38+00:00,2020-12-16 06:44:30+00:00,1236.0,342.0,2292.0,10780.0,3966.0,2020-12-15 23:44:14+00:00,1.1.1,142.0,\"The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.\",1460.0,1446.0,344.0,33,https://pypi.org/project/pytorch-lightning,2020-12-15 23:44:14+00:00,14.0,114673.0,114673.0,https://anaconda.org/conda-forge/pytorch-lightning,,,True,2,10.0,,,,,,,,,,,,,,,,,,,,,,\n47,onnx,onnx/onnx,onnx,,,model-serialisation,,https://github.com/onnx/onnx,https://github.com/onnx/onnx,MIT,2017-09-07 04:53:45+00:00,2020-12-16 07:10:57+00:00,2020-12-03 21:51:57+00:00,1723.0,501.0,903.0,9505.0,1650.0,2020-11-07 00:55:30+00:00,1.8.0,19.0,Open standard for machine learning interoperability.,2535.0,2239.0,188.0,33,https://pypi.org/project/onnx,2020-11-06 22:46:10+00:00,296.0,331525.0,331764.0,,,,True,1,9095.0,,,,,,,,,,,,,,,,,,,,,,\n48,mlflow,mlflow/mlflow,mlflow,,,ml-experiments,,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58+00:00,2020-12-16 12:01:54+00:00,2020-12-16 08:24:31+00:00,1795.0,628.0,1014.0,7998.0,1789.0,2020-11-19 07:43:19+00:00,1.12.1,38.0,Open source platform for the machine learning lifecycle.,1822.0,1668.0,267.0,33,https://pypi.org/project/mlflow,2020-11-19 07:30:38+00:00,154.0,2675106.0,2675106.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n49,peewee,coleifer/peewee,peewee,,,db-clients,,https://github.com/coleifer/peewee,https://github.com/coleifer/peewee,MIT,2010-10-11 20:14:11+00:00,2020-11-26 16:40:21+00:00,2020-11-26 16:31:52+00:00,1254.0,1.0,1906.0,7996.0,4280.0,2020-11-07 18:48:43+00:00,3.14.0,165.0,\"a small, expressive orm -- supports postgresql, mysql and sqlite.\",18005.0,11541.0,144.0,33,https://pypi.org/project/peewee,2020-11-07 18:47:45+00:00,6464.0,193189.0,193189.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n50,xlrd,python-excel/xlrd,xlrd,,,data-loading,,https://github.com/python-excel/xlrd,https://github.com/python-excel/xlrd,BSD-3-Clause,2012-03-07 04:50:48+00:00,2020-12-12 15:24:26+00:00,2020-12-12 15:24:25+00:00,406.0,3.0,,1828.0,502.0,2020-12-11 10:14:20+00:00,2.0.1,24.0,Please use openpyxl where you can...,72647.0,59073.0,50.0,33,https://pypi.org/project/xlrd,2020-12-11 10:14:20+00:00,13574.0,5597658.0,5597658.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n51,Fastai,fastai/fastai,fastai,,,ml-frameworks,['pytorch'],https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36+00:00,2020-12-16 01:54:02+00:00,2020-12-16 01:54:01+00:00,6865.0,55.0,1253.0,20097.0,1578.0,2020-12-13 19:01:35+00:00,2.1.9,109.0,\"The fastai deep learning library, plus lessons and tutorials.\",368.0,,472.0,32,https://pypi.org/project/fastai,2020-12-13 19:01:35+00:00,368.0,117088.0,117088.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n52,Ray,ray-project/ray,ray,,,distributed-ml,,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30+00:00,2020-12-16 12:43:45+00:00,2020-12-16 10:45:53+00:00,2228.0,1185.0,4295.0,14094.0,6697.0,2020-11-19 22:43:00+00:00,ray-1.0.1.post1,42.0,\"An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged..\",1521.0,1361.0,407.0,32,https://pypi.org/project/ray,2020-11-19 22:42:38+00:00,160.0,222945.0,222945.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n53,jax,google/jax,jax,,,ml-frameworks,,https://github.com/google/jax,https://github.com/google/jax,Apache-2.0,2018-10-25 21:25:02+00:00,2020-12-16 12:17:50+00:00,2020-12-16 09:57:26+00:00,886.0,685.0,1307.0,10689.0,6324.0,2020-12-05 06:20:45+00:00,0.2.7,86.0,\"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.\",917.0,871.0,238.0,32,https://pypi.org/project/jax,2020-12-05 06:20:45+00:00,46.0,69634.0,69634.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n54,imgaug,aleju/imgaug,imgaug,,,image,,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33+00:00,2020-10-19 12:23:22+00:00,2020-06-01 14:58:26+00:00,1934.0,211.0,203.0,10393.0,2913.0,2020-02-06 06:18:40+00:00,0.4.0,11.0,Image augmentation for machine learning experiments.,5035.0,4757.0,36.0,32,https://pypi.org/project/imgaug,2020-02-05 20:54:22+00:00,278.0,154755.0,154755.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n55,AllenNLP,allenai/allennlp,allennlp,,,nlp,['pytorch'],https://github.com/allenai/allennlp,https://github.com/allenai/allennlp,Apache-2.0,2017-05-15 15:52:41+00:00,2020-12-16 04:45:04+00:00,2020-12-16 02:09:44+00:00,1916.0,132.0,2104.0,9482.0,2352.0,2020-12-15 22:10:16+00:00,1.3.0,154.0,\"An open-source NLP research library, built on PyTorch.\",1434.0,1317.0,229.0,32,https://pypi.org/project/allennlp,2020-11-17 18:37:28+00:00,117.0,22037.0,22037.0,,,,True,1,36.0,,,,,,,,,,,,,,,,,,,,,,\n56,Chainer,chainer/chainer,chainer,,,ml-frameworks,,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37+00:00,2020-12-16 09:56:13+00:00,2020-12-16 09:56:12+00:00,1371.0,16.0,2015.0,5496.0,30538.0,2020-07-30 09:01:53+00:00,7.7.0,108.0,A flexible framework of neural networks for deep learning.,2471.0,1729.0,317.0,32,https://pypi.org/project/chainer,2020-07-30 09:01:53+00:00,742.0,20769.0,20769.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n57,PyMC3,pymc-devs/pymc3,pymc3,,,probabilistics,,https://github.com/pymc-devs/pymc3,https://github.com/pymc-devs/pymc3,Apache-2.0,2009-05-05 09:43:50+00:00,2020-12-16 12:39:18+00:00,2020-12-16 12:39:16+00:00,1316.0,150.0,1934.0,5433.0,7592.0,2020-12-07 15:59:43+00:00,3.10.0,30.0,Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano.,2110.0,1824.0,301.0,32,https://pypi.org/project/pymc3,2020-12-07 15:45:00+00:00,286.0,130573.0,130574.0,,,,True,1,145.0,,,,,,,,,,,,,,,,,,,,,,\n58,Beam,apache/beam,apache-beam,,,data-pipelines,,https://github.com/apache/beam,https://github.com/apache/beam,Apache-2.0,2016-02-02 08:00:06+00:00,2020-12-16 11:06:54+00:00,2020-12-16 09:45:24+00:00,2739.0,115.0,,4446.0,29983.0,2020-12-11 21:24:20+00:00,2.26.0,29.0,\"Unified programming model to define and execute data processing pipelines, including ETL, batch and stream processing.\",186.0,,979.0,32,https://pypi.org/project/apache-beam,2020-12-11 19:58:03+00:00,186.0,1784620.0,1784620.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n59,xmltodict,martinblech/xmltodict,xmltodict,,,data-loading,,https://github.com/martinblech/xmltodict,https://github.com/martinblech/xmltodict,MIT,2012-04-17 14:38:21+00:00,2020-11-05 01:54:38+00:00,2020-04-26 05:15:03+00:00,393.0,63.0,134.0,4194.0,205.0,2019-02-11 07:00:26+00:00,0.12.0,27.0,Python module that makes working with XML feel like you are working with JSON.,27452.0,19218.0,41.0,32,https://pypi.org/project/xmltodict,2019-02-11 07:00:26+00:00,8234.0,4349675.0,4349675.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n60,Tablib,jazzband/tablib,tablib,,,data-loading,,https://github.com/jazzband/tablib,https://github.com/jazzband/tablib,MIT,2011-03-28 02:36:50+00:00,2020-12-13 06:03:08+00:00,2020-12-11 07:22:54+00:00,557.0,34.0,197.0,3815.0,1123.0,2020-12-05 14:56:28+00:00,3.0.0,38.0,\"Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c.\",11100.0,8742.0,110.0,32,https://pypi.org/project/tablib,2020-12-05 14:56:28+00:00,2358.0,624352.0,624352.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n61,tensorflow-hub,tensorflow/hub,tensorflow-hub,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42+00:00,2020-12-14 16:19:27+00:00,2020-12-14 16:19:23+00:00,1408.0,44.0,488.0,2651.0,804.0,2020-10-29 15:10:15+00:00,0.10.0,13.0,A library for transfer learning by reusing parts of TensorFlow models.,4973.0,4659.0,65.0,32,https://pypi.org/project/tensorflow-hub,2020-10-29 14:53:02+00:00,314.0,1325491.0,1325491.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n62,GeoPandas,geopandas/geopandas,geopandas,,,geospatial-data,['pandas'],https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47+00:00,2020-12-14 22:08:01+00:00,2020-12-07 09:34:03+00:00,528.0,294.0,642.0,2390.0,1300.0,2020-07-15 17:59:00+00:00,0.8.1,34.0,Python tools for geographic data.,7722.0,6556.0,126.0,32,https://pypi.org/project/geopandas,2020-06-24 13:38:40+00:00,1166.0,463560.0,463575.0,,,,True,1,825.0,,,,,,,,,,,,,,,,,,,,,,\n63,Thinc,explosion/thinc,thinc,,,ml-frameworks,,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59+00:00,2020-12-16 11:40:14+00:00,2020-12-16 11:39:31+00:00,185.0,13.0,80.0,2117.0,4865.0,2020-12-11 09:45:43+00:00,7.4.5,181.0,\"A refreshing functional take on deep learning, compatible with your favorite libraries.\",11158.0,10020.0,33.0,32,https://pypi.org/project/thinc,2020-12-11 09:11:33+00:00,1138.0,992566.0,992566.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n64,xarray,pydata/xarray,xarray,,,data-containers,,https://github.com/pydata/xarray,https://github.com/pydata/xarray,Apache-2.0,2013-09-30 17:21:10+00:00,2020-12-16 11:48:49+00:00,2020-12-15 16:40:37+00:00,609.0,766.0,1837.0,1876.0,3421.0,2020-11-30 21:28:55+00:00,0.16.2,55.0,N-D labeled arrays and datasets in Python.,5738.0,4606.0,285.0,32,https://pypi.org/project/xarray,2020-11-30 21:26:20+00:00,1132.0,302609.0,302609.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n65,imageio,imageio/imageio,imageio,,,image,,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45+00:00,2020-12-11 13:32:14+00:00,2020-12-07 13:48:21+00:00,160.0,59.0,269.0,813.0,1125.0,2020-07-10 07:45:22+00:00,2.9.0,31.0,Python library for reading and writing image data.,37199.0,33361.0,69.0,32,https://pypi.org/project/imageio,2020-07-06 13:20:41+00:00,3838.0,1697299.0,1697299.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n66,tensor2tensor,tensorflow/tensor2tensor,tensor2tensor,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/tensor2tensor,https://github.com/tensorflow/tensor2tensor,Apache-2.0,2017-06-15 16:57:39+00:00,2020-12-15 01:23:04+00:00,2020-11-16 14:28:10+00:00,2682.0,544.0,662.0,10683.0,4345.0,2020-06-17 16:15:36+00:00,1.15.7,79.0,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,938.0,856.0,230.0,31,https://pypi.org/project/tensor2tensor,2020-06-17 16:15:36+00:00,82.0,48779.0,48779.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n67,fairseq,pytorch/fairseq,fairseq,,,nlp,['pytorch'],https://github.com/pytorch/fairseq,https://github.com/pytorch/fairseq,MIT,2017-08-29 16:26:12+00:00,2020-12-16 11:30:31+00:00,2020-12-16 01:47:42+00:00,2691.0,569.0,1708.0,10670.0,1674.0,2020-11-21 20:52:43+00:00,0.10.1,12.0,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,263.0,243.0,279.0,31,https://pypi.org/project/fairseq,2020-11-21 20:52:43+00:00,20.0,8634.0,8635.0,,,,True,1,46.0,,,,,,,,,,,,,,,,,,,,,,\n68,ChatterBot,gunthercox/ChatterBot,chatterbot,,,nlp,,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00+00:00,2020-12-03 22:49:16+00:00,2020-08-20 21:16:14+00:00,3563.0,196.0,1217.0,10628.0,1847.0,2020-08-22 18:42:43+00:00,1.0.8,86.0,\"ChatterBot is a machine learning, conversational dialog engine for creating chat bots.\",3650.0,2970.0,103.0,31,https://pypi.org/project/chatterbot,2020-08-22 18:40:36+00:00,680.0,20279.0,20279.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n69,Rasa,RasaHQ/rasa,rasa,,,nlp,['tensorflow'],https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49+00:00,2020-12-16 12:24:55+00:00,2020-12-15 08:43:05+00:00,3150.0,499.0,4263.0,10331.0,24060.0,2020-12-11 08:29:03+00:00,2.2.0a1,169.0,\"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..\",64.0,,452.0,31,https://pypi.org/project/rasa,2020-12-11 08:28:53+00:00,64.0,60366.0,60366.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n70,pyecharts,pyecharts/pyecharts,pyecharts,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,data-viz,['jupyter'],https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25+00:00,2020-10-30 03:17:30+00:00,2020-10-29 15:09:15+00:00,2280.0,28.0,1308.0,10209.0,1509.0,2020-10-29 15:14:08+00:00,1.9.0,66.0,Python Echarts Plotting Library.,1661.0,1379.0,28.0,31,https://pypi.org/project/pyecharts,2020-10-29 15:14:08+00:00,282.0,26600.0,26600.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n71,wordcloud,amueller/word_cloud,wordcloud,,,data-viz,,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59+00:00,2020-11-11 22:07:32+00:00,2020-11-11 21:35:51+00:00,2001.0,91.0,343.0,7712.0,540.0,2020-11-11 21:41:02+00:00,1.8.1,16.0,A little word cloud generator in Python.,9002.0,7898.0,58.0,31,https://pypi.org/project/wordcloud,2020-11-11 21:41:02+00:00,1104.0,262534.0,262534.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n72,Catboost,catboost/catboost,catboost,,,ml-frameworks,,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04+00:00,2020-12-16 11:45:21+00:00,2020-12-16 11:45:17+00:00,848.0,293.0,1017.0,5590.0,13849.0,2020-11-18 14:56:33+00:00,0.24.3,89.0,\"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..\",81.0,,700.0,31,https://pypi.org/project/catboost,2020-08-26 22:16:16+00:00,81.0,622283.0,623445.0,,,,True,2,45333.0,,,,,,,,,,,,,,,,,,,,,,\n73,Hyperopt,hyperopt/hyperopt,hyperopt,,,hyperopt,,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59+00:00,2020-11-18 08:38:03+00:00,2020-11-18 08:38:01+00:00,841.0,322.0,219.0,5261.0,1167.0,2020-10-07 09:52:56+00:00,0.2.5,11.0,Distributed Asynchronous Hyperparameter Optimization in Python.,2858.0,2354.0,83.0,31,https://pypi.org/project/hyperopt,2020-10-07 09:52:56+00:00,504.0,529082.0,529082.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n74,folium,python-visualization/folium,folium,,,geospatial-data,,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35+00:00,2020-12-13 17:58:25+00:00,2020-11-29 11:59:51+00:00,1856.0,143.0,680.0,5041.0,1460.0,2020-05-07 13:33:22+00:00,0.11.0,22.0,Python Data. Leaflet.js Maps.,8662.0,7694.0,116.0,31,https://pypi.org/project/folium,2020-05-07 13:33:22+00:00,968.0,266663.0,266663.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n75,sentencepiece,google/sentencepiece,sentencepiece,,,nlp,,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48+00:00,2020-12-12 08:07:26+00:00,2020-12-12 08:07:24+00:00,595.0,35.0,360.0,4637.0,639.0,2020-10-24 05:57:45+00:00,0.1.94,29.0,Unsupervised text tokenizer for Neural Network-based text generation.,5064.0,4944.0,46.0,31,https://pypi.org/project/sentencepiece,2020-10-24 05:57:45+00:00,120.0,1320855.0,1321170.0,,,,True,1,8837.0,,,,,,,,,,,,,,,,,,,,,,\n76,Elasticsearch DSL,elastic/elasticsearch-dsl-py,elasticsearch-dsl,,,db-clients,,https://github.com/elastic/elasticsearch-dsl-py,https://github.com/elastic/elasticsearch-dsl-py,Apache-2.0,2014-03-05 16:19:39+00:00,2020-12-09 17:31:23+00:00,2020-12-08 20:53:06+00:00,665.0,54.0,1093.0,3114.0,1007.0,2020-09-17 13:45:33+00:00,7.3.0,32.0,High level Python client for Elasticsearch.,5570.0,4014.0,121.0,31,https://pypi.org/project/elasticsearch-dsl,2020-09-17 13:41:36+00:00,1556.0,953554.0,953560.0,,,,True,2,19.0,,,,,,,,,,,,,,,,,,,,,,\n77,geopy,geopy/geopy,geopy,,,geospatial-data,,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28+00:00,2020-11-16 12:27:47+00:00,2020-09-13 20:17:58+00:00,521.0,27.0,204.0,3104.0,970.0,2020-06-27 20:47:54+00:00,2.0.0,56.0,Geocoding library for Python.,21862.0,14618.0,115.0,31,https://pypi.org/project/geopy,2020-06-27 20:42:36+00:00,7244.0,2474442.0,2474442.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n78,scikit-optimize,scikit-optimize/scikit-optimize,scikit-optimize,,,hyperopt,,https://github.com/scikit-optimize/scikit-optimize,https://github.com/scikit-optimize/scikit-optimize,BSD-3-Clause,2016-03-20 21:10:54+00:00,2020-12-04 21:07:23+00:00,2020-09-29 13:32:21+00:00,366.0,160.0,352.0,1986.0,1540.0,2020-09-04 09:08:10+00:00,0.8.1,22.0,Sequential model-based optimization with a `scipy.optimize` interface.,1399.0,1239.0,67.0,31,https://pypi.org/project/scikit-optimize,2020-09-04 09:08:10+00:00,160.0,551441.0,551441.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n79,Prometheus Client,prometheus/client_python,prometheus_client,conda-forge/prometheus_client,,db-clients,,https://github.com/prometheus/client_python,https://github.com/prometheus/client_python,Apache-2.0,2015-02-10 22:47:25+00:00,2020-11-24 10:28:49+00:00,2020-11-24 10:28:43+00:00,491.0,27.0,284.0,1926.0,406.0,2020-11-16 13:40:13+00:00,0.9.0,33.0,Prometheus instrumentation library for Python applications.,3738.0,,95.0,31,https://pypi.org/project/prometheus_client,2019-06-20 13:35:09+00:00,3738.0,10245569.0,10245569.0,https://anaconda.org/conda-forge/prometheus_client,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n80,MNE,mne-tools/mne-python,mne,,,medical-data,,https://github.com/mne-tools/mne-python,https://github.com/mne-tools/mne-python,BSD-3-Clause,2011-01-28 03:31:13+00:00,2020-12-16 12:43:21+00:00,2020-12-15 20:52:35+00:00,829.0,301.0,3053.0,1452.0,15650.0,2020-11-30 16:11:19+00:00,0.21.2,49.0,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,942.0,744.0,234.0,31,https://pypi.org/project/mne,2020-11-16 12:57:08+00:00,198.0,41024.0,41024.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n81,influxdb,influxdata/influxdb-python,influxdb,,,db-clients,,https://github.com/influxdata/influxdb-python,https://github.com/influxdata/influxdb-python,MIT,2013-11-05 19:27:16+00:00,2020-12-06 21:24:47+00:00,2020-11-11 21:03:24+00:00,479.0,130.0,366.0,1438.0,961.0,2020-11-11 21:23:41+00:00,5.3.1,54.0,Python client for InfluxDB.,5839.0,3729.0,133.0,31,https://pypi.org/project/influxdb,2020-11-11 21:23:41+00:00,2110.0,1104573.0,1104573.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n82,Cassandra Driver,datastax/python-driver,cassandra-driver,conda-forge/cassandra-driver,,db-clients,,https://github.com/datastax/python-driver,https://github.com/datastax/python-driver,Apache-2.0,2013-07-08 19:02:31+00:00,2020-11-30 17:16:16+00:00,2020-11-11 00:22:01+00:00,446.0,13.0,,1199.0,5939.0,2020-06-18 14:44:49+00:00,3.24.0,70.0,DataStax Python Driver for Apache Cassandra.,3485.0,2299.0,174.0,31,https://pypi.org/project/cassandra-driver,2020-06-18 14:44:49+00:00,1186.0,541596.0,541596.0,https://anaconda.org/conda-forge/cassandra-driver,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n83,fastText,facebookresearch/fastText,fasttext,,,nlp,,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42+00:00,2020-10-31 15:50:36+00:00,2020-07-18 00:20:40+00:00,4198.0,400.0,587.0,22021.0,379.0,2020-04-28 09:54:50+00:00,0.9.2,35.0,Library for fast text representation and classification.,1558.0,1368.0,58.0,30,https://pypi.org/project/fasttext,2020-04-28 09:54:50+00:00,190.0,115623.0,115623.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n84,zipline,quantopian/zipline,zipline,,,financial-data,,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29+00:00,2020-12-11 13:52:22+00:00,2020-10-14 16:36:49+00:00,3590.0,318.0,644.0,12908.0,6226.0,2020-10-05 15:46:20.429000+00:00,1.4.1,30.0,\"Zipline, a Pythonic Algorithmic Trading Library.\",728.0,649.0,151.0,30,https://pypi.org/project/zipline,2020-10-05 15:46:20.429000+00:00,79.0,3405.0,3405.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n85,Prophet,facebook/prophet,fbprophet,,,time-series-data,,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08+00:00,2020-12-08 23:35:56+00:00,2020-12-08 23:35:54+00:00,3393.0,91.0,1390.0,11951.0,603.0,2020-09-05 16:12:50+00:00,0.7.1,14.0,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,150.0,,121.0,30,https://pypi.org/project/fbprophet,2020-09-05 16:12:50+00:00,150.0,709150.0,709161.0,,,,True,1,518.0,,,,,,,,,,,,,,,,,,,,,,\n86,horovod,horovod/horovod,horovod,,,distributed-ml,,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59+00:00,2020-12-16 04:20:41+00:00,2020-12-15 20:18:42+00:00,1681.0,254.0,1356.0,10556.0,819.0,2020-11-23 23:57:42+00:00,0.21.0,60.0,\"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.\",318.0,298.0,109.0,30,https://pypi.org/project/horovod,2020-10-01 14:54:24+00:00,20.0,106855.0,106855.0,,,,True,1,,stable/horovod,,,,,,,,,,,,,,,,,,,,,\n87,flair,flairNLP/flair,flair,,,nlp,['pytorch'],https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,MIT,2018-06-11 11:04:18+00:00,2020-12-16 01:10:44+00:00,2020-12-11 11:43:13+00:00,1405.0,113.0,1279.0,9683.0,2947.0,2020-12-01 19:35:00+00:00,0.7,19.0,A very simple framework for state-of-the-art Natural Language Processing (NLP).,610.0,562.0,156.0,30,https://pypi.org/project/flair,2020-12-01 19:02:38+00:00,48.0,33195.0,33195.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n88,TFlearn,tflearn/tflearn,tflearn,,,ml-frameworks,['tensorflow'],https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,MIT,2016-03-31 12:05:53+00:00,2020-11-30 04:35:03+00:00,2020-11-30 04:34:51+00:00,2423.0,574.0,358.0,9479.0,613.0,2020-11-11 19:26:11+00:00,0.5.0,8.0,Deep learning library featuring a higher-level API for TensorFlow.,3311.0,2830.0,128.0,30,https://pypi.org/project/tflearn,2020-11-11 19:13:47+00:00,481.0,16442.0,16442.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n89,Vowpal Wabbit,VowpalWabbit/vowpal_wabbit,vowpalwabbit,,,ml-frameworks,,https://github.com/VowpalWabbit/vowpal_wabbit,https://github.com/VowpalWabbit/vowpal_wabbit,BSD-3-Clause,2009-07-31 19:36:58+00:00,2020-12-16 10:32:39+00:00,2020-12-16 10:32:37+00:00,1696.0,161.0,855.0,7353.0,8958.0,2020-11-12 14:41:09+00:00,8.9.0,12.0,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,94.0,86.0,296.0,30,https://pypi.org/project/vowpalwabbit,2020-11-12 14:41:09+00:00,8.0,17090.0,17090.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n90,Prefect,PrefectHQ/prefect,prefect,conda-forge/prefect,,data-pipelines,,https://github.com/PrefectHQ/prefect,https://github.com/PrefectHQ/prefect,Apache-2.0,2018-06-29 21:59:26+00:00,2020-12-16 07:08:29+00:00,2020-12-16 00:10:34+00:00,455.0,219.0,1233.0,5553.0,12875.0,2020-12-08 17:07:04+00:00,0.13.19,76.0,The easiest way to automate your data.,215.0,213.0,166.0,30,https://pypi.org/project/prefect,2020-12-08 17:07:04+00:00,2.0,40514.0,40514.0,https://anaconda.org/conda-forge/prefect,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n91,SpeechRecognition,Uberi/speech_recognition,SpeechRecognition,,,audio,,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54+00:00,2020-12-06 16:23:37+00:00,2019-07-02 17:29:47+00:00,1827.0,194.0,269.0,5284.0,360.0,2017-12-05 14:05:14+00:00,3.8.1,52.0,\"Speech recognition module for Python, supporting several engines and APIs, online and offline.\",7167.0,6079.0,41.0,30,https://pypi.org/project/SpeechRecognition,2017-12-05 13:58:29+00:00,1088.0,132695.0,132695.0,,,,False,1,,,,,,,,,,,,,,,,,,,,,,,\n92,CuPy,cupy/cupy,cupy,,,gpu-utilities,,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45+00:00,2020-12-16 11:08:42.939892+00:00,2020-12-16 11:03:36+00:00,427.0,357.0,842.0,4726.0,20008.0,2020-11-26 07:02:45+00:00,8.2.0,83.0,A NumPy-compatible array library accelerated by CUDA.,814.0,622.0,251.0,30,https://pypi.org/project/cupy,2020-11-26 07:01:08+00:00,192.0,8936.0,9958.0,,,,True,1,2572.0,,,cupy/cupy,https://hub.docker.com/r/cupy/cupy,2020-12-16 11:08:42.939892+00:00,6.0,47429.0,,,,,,,,,,,,,,,\n93,Optuna,optuna/optuna,optuna,,,hyperopt,,https://github.com/optuna/optuna,https://github.com/optuna/optuna,MIT,2018-02-21 06:12:56+00:00,2020-12-16 07:44:49+00:00,2020-12-16 05:49:01+00:00,429.0,161.0,438.0,3732.0,8404.0,2020-11-04 04:28:46+00:00,2.3.0,33.0,A hyperparameter optimization framework.,837.0,785.0,119.0,30,https://pypi.org/project/optuna,2020-11-04 04:29:39+00:00,52.0,162830.0,162830.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n94,Tesseract,madmaze/pytesseract,pytesseract,conda-forge/pytesseract,,ocr,,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49+00:00,2020-12-15 17:32:26+00:00,2020-12-15 17:29:37+00:00,503.0,7.0,235.0,3312.0,347.0,2020-12-15 05:24:52+00:00,0.3.7,24.0,Python-tesseract is an optical character recognition (OCR) tool for python.,9260.0,7832.0,34.0,30,https://pypi.org/project/pytesseract,2020-12-15 05:24:52+00:00,1428.0,309587.0,309587.0,https://anaconda.org/conda-forge/pytesseract,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n95,MLxtend,rasbt/mlxtend,mlxtend,conda-forge/mlxtend,,others,['sklearn'],https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16+00:00,2020-12-03 23:11:48+00:00,2020-12-03 23:11:47+00:00,683.0,99.0,260.0,3246.0,1140.0,2020-11-26 04:18:15+00:00,0.18.0,46.0,A library of extension and helper modules for Python's data analysis and machine learning libraries.,2281.0,2186.0,78.0,30,https://pypi.org/project/mlxtend,2020-11-26 04:18:15+00:00,95.0,215826.0,215826.0,https://anaconda.org/conda-forge/mlxtend,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n96,bqplot,bloomberg/bqplot,bqplot,,,data-viz,['jupyter'],https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18+00:00,2020-12-16 10:47:25+00:00,2020-12-10 17:49:51+00:00,404.0,204.0,312.0,2960.0,3196.0,2020-11-05 14:39:24+00:00,0.12.19,87.0,Plotting library for IPython/Jupyter notebooks.,1239.0,1117.0,51.0,30,https://pypi.org/project/bqplot,2020-11-05 14:39:24+00:00,112.0,17214.0,165972.0,,,,True,2,,,,,,,,,bqplot,https://www.npmjs.com/package/bqplot,2020-10-12 19:58:11.526000+00:00,10.0,148758.0,,,,,,,,,,\n97,torchtext,pytorch/text,torchtext,,,nlp,['pytorch'],https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03+00:00,2020-12-16 12:30:53+00:00,2020-12-04 18:18:28+00:00,584.0,261.0,309.0,2587.0,686.0,2020-12-10 17:03:55+00:00,0.8.1,12.0,Data loaders and abstractions for text and NLP.,3992.0,3310.0,98.0,30,https://pypi.org/project/torchtext,2020-12-10 16:28:00+00:00,682.0,135070.0,135070.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n98,mrjob,Yelp/mrjob,mrjob,,,data-pipelines,,https://github.com/Yelp/mrjob,https://github.com/Yelp/mrjob,Apache-2.0,2010-10-13 18:35:21+00:00,2020-11-16 22:20:27+00:00,2020-11-16 22:20:52+00:00,590.0,199.0,1089.0,2523.0,8622.0,2020-09-17 22:26:01+00:00,0.7.4,60.0,Run MapReduce jobs on Hadoop or Amazon Web Services.,743.0,631.0,142.0,30,https://pypi.org/project/mrjob,2020-09-17 22:26:01+00:00,112.0,129943.0,129943.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n99,confluent-kafka-python,confluentinc/confluent-kafka-python,confluent-kafka,,,db-clients,,https://github.com/confluentinc/confluent-kafka-python,https://github.com/confluentinc/confluent-kafka-python,Apache-2.0,2016-04-14 07:40:41+00:00,2020-12-03 23:05:45+00:00,2020-11-24 15:38:23+00:00,542.0,230.0,465.0,2074.0,628.0,2020-07-22 08:23:51+00:00,1.5.0,20.0,Confluent's Kafka Python Client.,2206.0,1904.0,66.0,30,https://pypi.org/project/confluent-kafka,2020-07-22 07:50:57+00:00,302.0,999159.0,999159.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n100,pyodbc,mkleehammer/pyodbc,pyodbc,,,db-clients,,https://github.com/mkleehammer/pyodbc,https://github.com/mkleehammer/pyodbc,MIT,2008-10-03 15:19:37+00:00,2020-11-26 00:31:04+00:00,2020-10-26 13:28:37+00:00,407.0,215.0,510.0,1944.0,347.0,2020-02-08 18:09:57+00:00,4.0.30,48.0,Python ODBC bridge.,3262.0,,36.0,30,https://pypi.org/project/pyodbc,2020-02-10 15:43:28+00:00,3262.0,4103084.0,4103084.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n101,smart-open,RaRe-Technologies/smart_open,smart-open,,,data-loading,,https://github.com/RaRe-Technologies/smart_open,https://github.com/RaRe-Technologies/smart_open,MIT,2015-01-02 13:05:52+00:00,2020-12-10 02:54:44+00:00,2020-12-10 02:54:39+00:00,261.0,69.0,224.0,1858.0,821.0,2020-11-27 06:14:57+00:00,4.0.1,44.0,\"Utils for streaming large files (S3, HDFS, gzip, bz2...).\",640.0,,68.0,30,https://pypi.org/project/smart-open,2020-11-27 06:14:05+00:00,640.0,5448578.0,5448578.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n102,mysqlclient,PyMySQL/mysqlclient,mysqlclient,conda-forge/mysqlclient,,db-clients,,https://github.com/PyMySQL/mysqlclient,https://github.com/PyMySQL/mysqlclient,GPL-2.0,2014-04-28 05:09:06+00:00,2020-12-11 03:30:10+00:00,2020-12-11 03:30:08+00:00,305.0,6.0,244.0,1838.0,978.0,2020-12-10 04:03:30+00:00,2.0.2,30.0,MySQL database connector for Python (with Python 3 support).,13536.0,,64.0,30,https://pypi.org/project/mysqlclient,2020-12-10 04:03:30+00:00,13536.0,1864187.0,1864288.0,https://anaconda.org/conda-forge/mysqlclient,,,False,2,5159.0,,,,,,,,,,,,,,,,,,,,,,\n103,python-magic,ahupp/python-magic,python-magic,,,data-loading,,https://github.com/ahupp/python-magic,https://github.com/ahupp/python-magic,MIT,2010-03-31 22:40:33+00:00,2020-12-11 19:57:08+00:00,2020-12-11 19:57:07+00:00,202.0,30.0,125.0,1785.0,244.0,2020-05-06 02:30:25+00:00,0.4.18,18.0,A python wrapper for libmagic.,15977.0,10845.0,47.0,30,https://pypi.org/project/python-magic,2020-05-06 02:30:25+00:00,5132.0,1519596.0,1519596.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n104,pandas-datareader,pydata/pandas-datareader,pandas-datareader,,,data-loading,['pandas'],https://github.com/pydata/pandas-datareader,https://github.com/pydata/pandas-datareader,BSD-3-Clause,2015-01-15 00:34:19+00:00,2020-12-16 09:11:15+00:00,2020-09-02 15:23:21+00:00,489.0,69.0,368.0,1755.0,762.0,2020-07-10 10:04:14+00:00,0.9.0,21.0,Extract data from a wide range of Internet sources into a pandas DataFrame.,8464.0,7058.0,76.0,30,https://pypi.org/project/pandas-datareader,2020-07-10 10:04:14+00:00,1406.0,107209.0,107209.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n105,opencv-python,skvark/opencv-python,opencv-python,,,image,,https://github.com/skvark/opencv-python,https://github.com/skvark/opencv-python,MIT,2016-04-08 13:36:40+00:00,2020-12-11 17:47:37+00:00,2020-12-11 17:47:36+00:00,293.0,19.0,355.0,1634.0,609.0,2020-11-03 19:09:10+00:00,46,46.0,\"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..\",12560.0,,27.0,30,https://pypi.org/project/opencv-python,2020-11-02 16:36:07+00:00,12560.0,2697357.0,2697357.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n106,Motor,mongodb/motor,motor,,,db-clients,,https://github.com/mongodb/motor,https://github.com/mongodb/motor,Apache-2.0,2013-01-11 21:34:44+00:00,2020-12-08 14:16:53+00:00,2020-09-24 23:47:34+00:00,140.0,1.0,,1596.0,1609.0,2020-09-24 23:26:10+00:00,2.3.0,34.0,Motor - the async Python driver for MongoDB and Tornado or asyncio.,5097.0,3307.0,28.0,30,https://pypi.org/project/motor,2020-09-24 23:19:56+00:00,1790.0,134531.0,134531.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n107,numexpr,pydata/numexpr,numexpr,,,data-containers,,https://github.com/pydata/numexpr,https://github.com/pydata/numexpr,MIT,2013-11-30 22:33:48+00:00,2020-12-06 01:59:55+00:00,2020-09-24 01:49:10+00:00,161.0,53.0,242.0,1486.0,651.0,2020-01-05 17:55:57+00:00,2.7.1,38.0,\"Fast numerical array expression evaluator for Python, NumPy, PyTables, pandas, bcolz and more.\",5482.0,,51.0,30,https://pypi.org/project/numexpr,2020-01-05 17:55:57+00:00,5482.0,921542.0,921542.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n108,Rasterio,mapbox/rasterio,rasterio,,,geospatial-data,,https://github.com/mapbox/rasterio,https://github.com/mapbox/rasterio,BSD-3-Clause,2013-11-04 16:36:27+00:00,2020-12-15 00:21:47+00:00,2020-12-15 00:21:46+00:00,387.0,135.0,1183.0,1380.0,3239.0,2020-10-21 01:56:29+00:00,1.1.8,117.0,Rasterio reads and writes geospatial raster datasets.,3338.0,2488.0,109.0,30,https://pypi.org/project/rasterio,2020-12-13 18:35:39+00:00,850.0,177498.0,177508.0,,,,True,2,701.0,,,,,,,,,,,,,,,,,,,,,,\n109,SageMaker SDK,aws/sagemaker-python-sdk,sagemaker,,,ml-experiments,\"['mxnet', 'tensorflow']\",https://github.com/aws/sagemaker-python-sdk,https://github.com/aws/sagemaker-python-sdk,Apache-2.0,2017-11-14 01:03:33+00:00,2020-12-15 22:36:59+00:00,2020-12-15 20:51:05+00:00,541.0,190.0,511.0,1277.0,1756.0,2020-12-08 23:27:29+00:00,2.19.0,292.0,A library for training and deploying machine learning models on Amazon SageMaker.,556.0,528.0,157.0,30,https://pypi.org/project/sagemaker,2020-12-08 23:27:29+00:00,28.0,357305.0,357305.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n110,TF Addons,tensorflow/addons,tensorflow-addons,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17+00:00,2020-12-16 09:20:16+00:00,2020-12-15 22:37:43+00:00,390.0,157.0,596.0,1124.0,1292.0,2020-08-27 03:29:56+00:00,0.11.2,23.0,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,1752.0,1743.0,144.0,30,https://pypi.org/project/tensorflow-addons,2020-10-11 19:34:04+00:00,9.0,423289.0,423289.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n111,Fiona,Toblerity/Fiona,fiona,,,geospatial-data,,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00+00:00,2020-12-02 19:46:20+00:00,2020-11-30 07:11:40+00:00,165.0,69.0,546.0,761.0,1093.0,2020-11-17 18:32:17+00:00,1.8.18,96.0,Fiona reads and writes geographic data files.,5792.0,4604.0,65.0,30,https://pypi.org/project/fiona,2020-11-17 18:32:17+00:00,1188.0,541601.0,541601.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n112,Nilearn,nilearn/nilearn,nilearn,,,medical-data,['sklearn'],https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23+00:00,2020-12-16 08:33:56+00:00,2020-12-15 21:02:57+00:00,372.0,378.0,1037.0,687.0,9271.0,2020-11-12 11:44:49+00:00,0.7.0,35.0,Machine learning for NeuroImaging in Python.,1120.0,818.0,158.0,30,https://pypi.org/project/nilearn,2020-11-12 11:44:49+00:00,302.0,13436.0,13436.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n113,You-Get,soimort/you-get,you-get,,,web-scraping,,https://github.com/soimort/you-get,https://github.com/soimort/you-get,MIT,2012-08-20 15:53:36+00:00,2020-12-15 13:42:56+00:00,2020-12-11 01:02:44+00:00,7859.0,348.0,,38090.0,2340.0,2020-11-18 15:43:18+00:00,0.4.1488,158.0,Dumb downloader that scrapes the web.,18.0,,221.0,29,https://pypi.org/project/you-get,2020-10-27 17:19:58+00:00,18.0,25072.0,28883.0,,,,True,1,327793.0,,you-get,,,,,,,,,,,,,,,,,,,,\n114,Face Recognition,ageitgey/face_recognition,face_recognition,,,image,['pytorch'],https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39+00:00,2020-12-15 17:34:41+00:00,2020-09-26 15:32:59+00:00,10417.0,548.0,525.0,37697.0,211.0,2018-08-21 18:34:21+00:00,1.2.3,21.0,The world's simplest facial recognition api for Python and the command line.,406.0,,45.0,29,https://pypi.org/project/face_recognition,2018-08-21 18:34:21+00:00,406.0,32883.0,32892.0,,,,True,2,433.0,,,,,,,,,,,,,,,,,,,,,,\n115,Glances,nicolargo/glances,glances,,,system-monitoring,,https://github.com/nicolargo/glances,https://github.com/nicolargo/glances,LGPL-3.0,2011-12-04 08:49:15+00:00,2020-12-13 21:21:03+00:00,2020-12-13 21:20:53+00:00,1117.0,188.0,1103.0,17305.0,3733.0,2020-08-20 08:36:13+00:00,3.1.5,50.0,\"Glances an Eye on your system. A top/htop alternative for GNU/Linux, BSD, Mac OS and Windows operating systems.\",301.0,251.0,133.0,29,https://pypi.org/project/glances,2020-08-19 08:51:13+00:00,50.0,38910.0,38916.0,,,,False,1,402.0,,,,,,,,,,,,,,,,,,,,,,\n116,Magenta,magenta/magenta,magenta,,,audio,['tensorflow'],https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40+00:00,2020-12-03 14:10:02+00:00,2020-12-01 17:12:29+00:00,3222.0,281.0,531.0,16070.0,1370.0,2020-11-12 19:17:18+00:00,2.1.3,66.0,Magenta: Music and Art Generation with Machine Intelligence.,285.0,250.0,142.0,29,https://pypi.org/project/magenta,2020-11-12 19:17:18+00:00,35.0,4387.0,4387.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n117,PaddlePaddle,PaddlePaddle/Paddle,paddlepaddle,,,ml-frameworks,['paddle'],https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08+00:00,2020-12-16 12:16:12+00:00,2020-12-16 11:07:41+00:00,3354.0,2271.0,10152.0,13562.0,15069.0,2020-10-30 03:37:50+00:00,2.0.0-rc0,41.0,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,38.0,22.0,483.0,29,https://pypi.org/project/paddlepaddle,2020-12-14 08:03:41+00:00,16.0,7114.0,7407.0,,,,True,3,15244.0,,,,,,,,,,,,,,,,,,,,,,\n118,Faiss,facebookresearch/faiss,faiss,,,nn-search,,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05+00:00,2020-12-16 09:19:12+00:00,2020-12-16 09:18:58+00:00,2052.0,98.0,1209.0,11844.0,411.0,2020-10-22 13:28:27+00:00,1.6.4,9.0,A library for efficient similarity search and clustering of dense vectors.,303.0,288.0,70.0,29,https://pypi.org/project/faiss,2019-04-16 14:14:20+00:00,15.0,8911.0,8911.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n119,Requests-HTML,psf/requests-html,requests-html,,,web-scraping,,https://github.com/psf/requests-html,https://github.com/psf/requests-html,MIT,2018-02-24 20:11:02+00:00,2020-12-05 04:48:45+00:00,2020-05-10 19:40:04+00:00,766.0,131.0,188.0,11336.0,449.0,2019-02-18 21:38:41+00:00,0.10.0,36.0,Pythonic HTML Parsing for Humans.,3753.0,3389.0,62.0,29,https://pypi.org/project/requests-html,2019-02-17 20:14:17+00:00,364.0,272240.0,272240.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n120,newspaper3k,codelucas/newspaper,newspaper3k,,,web-scraping,,https://github.com/codelucas/newspaper,https://github.com/codelucas/newspaper,MIT,2013-11-25 09:50:50+00:00,2020-12-13 05:26:18+00:00,2020-09-02 06:54:25+00:00,1681.0,413.0,242.0,10490.0,651.0,2018-09-28 04:58:18+00:00,0.2.8,18.0,\"News, full-text, and article metadata extraction in Python 3. Advanced docs:.\",2554.0,2110.0,103.0,29,https://pypi.org/project/newspaper3k,2018-09-28 04:58:18+00:00,444.0,29206.0,29206.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n121,Turi Create,apple/turicreate,turicreate,,,ml-frameworks,,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04+00:00,2020-11-18 17:14:31+00:00,2020-10-13 23:52:18+00:00,1057.0,465.0,1239.0,10040.0,1565.0,2020-09-30 22:51:40+00:00,6.4.1,31.0,Turi Create simplifies the development of custom machine learning models.,251.0,217.0,81.0,29,https://pypi.org/project/turicreate,2020-09-30 22:51:40+00:00,34.0,11728.0,11822.0,,,,True,3,3408.0,,,,,,,,,,,,,,,,,,,,,,\n122,Lime,marcotcr/lime,lime,,,interpretability,,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10+00:00,2020-11-22 17:52:07+00:00,2020-09-10 23:09:42+00:00,1338.0,46.0,421.0,8230.0,501.0,2020-04-03 22:05:03+00:00,0.2.0.0,37.0,Lime: Explaining the predictions of any machine learning classifier.,1065.0,937.0,55.0,29,https://pypi.org/project/lime,2020-04-03 22:04:32+00:00,128.0,169772.0,169772.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n123,Annoy,spotify/annoy,annoy,,,nn-search,,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40+00:00,2020-12-03 18:21:19+00:00,2020-12-03 18:21:18+00:00,849.0,26.0,263.0,7917.0,785.0,2020-09-18 16:07:59+00:00,1.17.0,43.0,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,1723.0,1363.0,68.0,29,https://pypi.org/project/annoy,2020-09-18 16:07:59+00:00,360.0,217984.0,217984.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n124,Pattern,clips/pattern,pattern,,,web-scraping,,https://github.com/clips/pattern,https://github.com/clips/pattern,BSD-3-Clause,2011-05-03 15:29:01+00:00,2020-12-03 13:45:30+00:00,2020-04-25 12:40:40+00:00,1499.0,159.0,75.0,7710.0,1434.0,,,2.0,\"Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis..\",1278.0,1012.0,30.0,29,https://pypi.org/project/pattern,2018-08-18 15:11:17+00:00,266.0,66363.0,66363.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n125,fuzzywuzzy,seatgeek/fuzzywuzzy,fuzzywuzzy,,,nlp,,https://github.com/seatgeek/fuzzywuzzy,https://github.com/seatgeek/fuzzywuzzy,GPL-2.0,2011-07-08 19:32:34+00:00,2020-12-06 07:48:14+00:00,2020-02-13 22:13:43+00:00,792.0,84.0,94.0,7677.0,379.0,2020-02-13 22:14:12+00:00,0.18.0,27.0,Fuzzy String Matching in Python.,10553.0,7347.0,67.0,29,https://pypi.org/project/fuzzywuzzy,2020-02-13 21:06:25+00:00,3206.0,2265282.0,2265282.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,\n126,TextBlob,sloria/TextBlob,textblob,,,nlp,,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18+00:00,2020-12-11 07:48:43+00:00,2020-11-13 14:19:03+00:00,946.0,69.0,150.0,7442.0,535.0,2019-02-24 23:03:17+00:00,0.15.3,55.0,\"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..\",11816.0,9324.0,33.0,29,https://pypi.org/project/textblob,2019-02-24 23:03:17+00:00,2492.0,293050.0,293051.0,,,,True,2,88.0,,,,,,,,,,,,,,,,,,,,,,\n127,MoviePy,Zulko/moviepy,moviepy,,,image,,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28+00:00,2020-11-25 17:36:43+00:00,2020-11-25 17:36:42+00:00,1021.0,337.0,629.0,7134.0,938.0,2020-05-07 16:29:35+00:00,1.0.3,84.0,Video editing with Python.,6472.0,5342.0,132.0,29,https://pypi.org/project/moviepy,2020-10-05 00:26:29+00:00,1130.0,138869.0,138869.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n128,Albumentations,albumentations-team/albumentations,albumentations,,,image,['pytorch'],https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50+00:00,2020-12-16 00:22:51+00:00,2020-12-14 18:13:10+00:00,866.0,148.0,224.0,6812.0,609.0,2020-11-29 14:30:07+00:00,0.5.2,44.0,Fast image augmentation library and easy to use wrapper around other libraries. Documentation:..,2336.0,2272.0,69.0,29,https://pypi.org/project/albumentations,2020-11-29 14:30:07+00:00,64.0,60691.0,60691.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n129,tensorboardX,lanpa/tensorboardX,tensorboardX,,,ml-experiments,,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19+00:00,2020-10-14 17:46:25+00:00,2020-07-05 17:29:00+00:00,768.0,72.0,341.0,6700.0,460.0,2020-07-05 17:54:10+00:00,2.0,12.0,\"tensorboard for pytorch (and chainer, mxnet, numpy, ...).\",10593.0,9259.0,64.0,29,https://pypi.org/project/tensorboardX,2019-12-31 14:04:21+00:00,1334.0,284786.0,284792.0,,,,True,2,285.0,,,,,,,,,,,,,,,,,,,,,,\n130,pandas-profiling,pandas-profiling/pandas-profiling,pandas-profiling,conda-forge/pandas-profiling,,data-viz,\"['jupyter', 'pandas']\",https://github.com/pandas-profiling/pandas-profiling,https://github.com/pandas-profiling/pandas-profiling,MIT,2016-01-09 23:47:55+00:00,2020-12-14 16:34:27+00:00,2020-11-30 21:55:53+00:00,966.0,48.0,351.0,6450.0,726.0,2020-09-03 10:11:24+00:00,2.9.0,24.0,Create HTML profiling reports from pandas DataFrame objects.,2812.0,2652.0,61.0,29,https://pypi.org/project/pandas-profiling,2020-09-03 10:11:24+00:00,160.0,244065.0,244065.0,https://anaconda.org/conda-forge/pandas-profiling,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n131,Pydub,jiaaro/pydub,pydub,,,audio,,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38+00:00,2020-12-14 17:09:25+00:00,2020-12-14 17:09:24+00:00,670.0,164.0,231.0,4970.0,722.0,2020-06-03 15:23:56+00:00,0.24.1,66.0,Manipulate audio with a simple and easy high level interface.,6649.0,5295.0,79.0,29,https://pypi.org/project/pydub,2020-06-03 15:23:56+00:00,1354.0,137793.0,137793.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n132,imbalanced-learn,scikit-learn-contrib/imbalanced-learn,imbalanced-learn,,,others,['sklearn'],https://github.com/scikit-learn-contrib/imbalanced-learn,https://github.com/scikit-learn-contrib/imbalanced-learn,MIT,2014-08-16 05:08:26+00:00,2020-11-24 15:00:35+00:00,2020-11-03 21:43:11+00:00,1024.0,47.0,400.0,4897.0,701.0,2020-06-09 10:45:32+00:00,0.7.0,26.0,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,3791.0,3511.0,51.0,29,https://pypi.org/project/imbalanced-learn,2020-06-09 10:39:03+00:00,280.0,740082.0,740082.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n133,UMAP,lmcinnes/umap,umap-learn,,,data-viz,,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17+00:00,2020-12-11 06:29:19+00:00,2020-11-26 19:30:32+00:00,459.0,196.0,207.0,4324.0,1269.0,2020-07-02 15:56:06+00:00,0.4.6,33.0,Uniform Manifold Approximation and Projection.,226.0,,67.0,29,https://pypi.org/project/umap-learn,2020-11-26 16:29:14+00:00,226.0,122309.0,122309.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n134,TinyDB,msiemens/tinydb,tinydb,,,data-containers,,https://github.com/msiemens/tinydb,https://github.com/msiemens/tinydb,MIT,2013-07-12 23:31:13+00:00,2020-12-05 15:21:25+00:00,2020-12-05 15:21:21+00:00,353.0,14.0,228.0,3884.0,593.0,2020-11-14 21:02:31+00:00,4.3.0,58.0,TinyDB is a lightweight document oriented database optimized for your happiness :).,1118.0,,61.0,29,https://pypi.org/project/tinydb,2020-11-14 21:02:29+00:00,1118.0,140387.0,140387.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n135,kaggle,Kaggle/kaggle-api,kaggle,,,ml-experiments,,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39+00:00,2020-12-03 05:16:08+00:00,2020-11-30 21:43:14+00:00,754.0,161.0,106.0,3709.0,137.0,2020-11-30 13:37:18+00:00,1.5.10,47.0,Official Kaggle API.,4596.0,4032.0,35.0,29,https://pypi.org/project/kaggle,2020-11-30 13:37:18+00:00,564.0,115951.0,115951.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n136,yfinance,ranaroussi/yfinance,yfinance,ranaroussi/yfinance,,financial-data,,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15+00:00,2020-12-10 01:54:27+00:00,2020-09-25 12:47:40+00:00,945.0,289.0,166.0,3641.0,243.0,2020-10-05 12:19:44+00:00,0.1.55,20.0,Yahoo! Finance market data downloader (+faster Pandas Datareader).,2294.0,2268.0,25.0,29,https://pypi.org/project/yfinance,2020-10-05 12:19:44+00:00,26.0,108099.0,108099.0,https://anaconda.org/ranaroussi/yfinance,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n137,sacred,IDSIA/sacred,sacred,,,ml-experiments,,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29+00:00,2020-12-15 10:47:56+00:00,2020-12-15 10:47:54+00:00,314.0,92.0,390.0,3225.0,1297.0,2020-12-14 15:21:05+00:00,0.8.2,27.0,\"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.\",896.0,742.0,90.0,29,https://pypi.org/project/sacred,2020-12-14 15:21:05+00:00,154.0,16678.0,16678.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n138,Koalas,databricks/koalas,koalas,conda-forge/koalas,,data-containers,\"['spark', 'pandas']\",https://github.com/databricks/koalas,https://github.com/databricks/koalas,Apache-2.0,2019-01-03 21:46:54+00:00,2020-12-16 05:35:56+00:00,2020-12-16 05:35:55+00:00,292.0,84.0,419.0,2532.0,1409.0,2020-12-11 21:10:40+00:00,1.5.0,42.0,Koalas: pandas API on Apache Spark.,67.0,66.0,47.0,29,https://pypi.org/project/koalas,2020-12-11 21:10:40+00:00,1.0,911813.0,911860.0,https://anaconda.org/conda-forge/koalas,,,True,2,996.0,,,,,,,,,,,,,,,,,,,,,,\n139,PyQtGraph,pyqtgraph/pyqtgraph,pyqtgraph,conda-forge/pyqtgraph,,data-viz,,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21+00:00,2020-12-16 03:26:28+00:00,2020-12-10 06:45:21+00:00,791.0,288.0,423.0,2238.0,2274.0,2020-06-08 23:50:26+00:00,0.11.0,11.0,Fast data visualization and GUI tools for scientific / engineering applications.,890.0,,176.0,29,https://pypi.org/project/pyqtgraph,2020-06-08 23:50:26+00:00,890.0,34793.0,34793.0,https://anaconda.org/conda-forge/pyqtgraph,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n140,Keras Tuner,keras-team/keras-tuner,keras-tuner,,,hyperopt,['keras'],https://github.com/keras-team/keras-tuner,https://github.com/keras-team/keras-tuner,Apache-2.0,2019-06-06 22:38:21+00:00,2020-12-11 22:39:03+00:00,2020-12-09 20:19:05+00:00,248.0,145.0,131.0,2179.0,787.0,2020-11-20 19:13:23+00:00,1.0.2,5.0,Hyperparameter tuning for humans.,319.0,317.0,28.0,29,https://pypi.org/project/keras-tuner,2020-11-20 19:00:59+00:00,2.0,1185154.0,1185154.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n141,HoloViews,holoviz/holoviews,holoviews,,,data-viz,['jupyter'],https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22+00:00,2020-12-15 19:25:52+00:00,2020-12-15 19:25:51+00:00,290.0,664.0,1811.0,1761.0,10104.0,2020-12-03 18:36:32+00:00,1.14.0,58.0,\"With Holoviews, your data visualizes itself.\",170.0,,99.0,29,https://pypi.org/project/holoviews,2020-12-03 14:22:27+00:00,170.0,116506.0,124493.0,,,,True,2,,,,,,,,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,2020-05-24 13:49:54.205000+00:00,,7987.0,,,,,,,,,,\n142,Lifelines,CamDavidsonPilon/lifelines,lifelines,,,medical-data,,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42+00:00,2020-12-11 17:32:01+00:00,2020-12-09 21:13:02+00:00,403.0,183.0,584.0,1508.0,2069.0,2020-12-09 21:14:01+00:00,0.25.7,152.0,Survival analysis in Python.,584.0,458.0,88.0,29,https://pypi.org/project/lifelines,2020-12-09 21:14:01+00:00,126.0,109503.0,109503.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n143,Geocoder,DenisCarriere/geocoder,geocoder,,,geospatial-data,,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21+00:00,2020-12-14 18:58:25+00:00,2018-10-12 15:53:05+00:00,249.0,64.0,215.0,1312.0,1251.0,2018-04-04 12:34:51+00:00,1.38.1,108.0,Python Geocoder.,3436.0,2860.0,74.0,29,https://pypi.org/project/geocoder,2018-04-04 12:34:51+00:00,576.0,230314.0,230314.0,,,,False,2,,,,,,,,,,,,,,geocoder,,,,,,,,,\n144,PyTables,PyTables/PyTables,tables,,,data-containers,,https://github.com/PyTables/PyTables,https://github.com/PyTables/PyTables,BSD-2-Clause,2011-06-03 19:44:46+00:00,2020-12-13 10:39:33+00:00,2020-12-13 10:38:41+00:00,180.0,152.0,436.0,987.0,3845.0,2019-10-30 19:33:37+00:00,3.6.1,25.0,A Python package to manage extremely large amounts of data.,3754.0,,95.0,29,https://pypi.org/project/tables,2019-10-30 19:33:37+00:00,3754.0,690822.0,690824.0,,,,True,2,125.0,,,,,,,,,,,,,,,,,,,,,,\n145,py2neo,technige/py2neo,py2neo,,,db-clients,,https://github.com/technige/py2neo,https://github.com/technige/py2neo,Apache-2.0,2011-07-03 10:01:07+00:00,2020-12-16 00:43:20+00:00,2020-12-11 22:06:25+00:00,196.0,25.0,689.0,954.0,2732.0,2020-11-21 09:50:58+00:00,2020.1.1,102.0,Py2neo is a comprehensive toolkit for working with Neo4j from within Python applications or from the command line.,1114.0,,31.0,29,https://pypi.org/project/py2neo,2020-11-21 09:51:22+00:00,1114.0,75991.0,75991.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n146,TensorFlow Transform,tensorflow/transform,tensorflow-transform,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53+00:00,2020-12-15 20:36:52+00:00,2020-12-15 20:36:41+00:00,160.0,32.0,113.0,841.0,556.0,2020-11-04 22:48:52+00:00,0.25.0,32.0,Input pipeline framework.,415.0,373.0,27.0,29,https://pypi.org/project/tensorflow-transform,2020-11-04 23:07:30+00:00,42.0,4440326.0,4440326.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n147,snakemake,snakemake/snakemake,snakemake,bioconda/snakemake,,ml-experiments,,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2019-10-04 14:58:11+00:00,2020-12-16 09:54:29+00:00,2020-12-16 09:54:53+00:00,174.0,301.0,199.0,774.0,3920.0,2020-12-16 09:54:29+00:00,5.30.2,155.0,\"This is the development home of the workflow management system Snakemake. For general information, see.\",989.0,701.0,193.0,29,https://pypi.org/project/snakemake,2020-11-23 11:00:53+00:00,288.0,10342.0,10342.0,https://anaconda.org/bioconda/snakemake,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n148,NIPYPE,nipy/nipype,nipype,,,medical-data,,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49+00:00,2020-12-08 17:16:42+00:00,2020-12-08 17:16:40+00:00,439.0,312.0,871.0,536.0,14049.0,2020-09-17 18:44:32+00:00,1.5.1,54.0,Workflows and interfaces for neuroimaging packages.,656.0,464.0,212.0,29,https://pypi.org/project/nipype,2020-08-16 18:30:16+00:00,192.0,13861.0,13861.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n149,NiBabel,nipy/nibabel,nibabel,,,medical-data,,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30+00:00,2020-12-16 01:39:58+00:00,2020-12-16 00:08:18+00:00,209.0,109.0,277.0,377.0,4933.0,2020-11-28 22:19:50+00:00,3.2.1,32.0,Python package to access a cacophony of neuro-imaging file formats.,4584.0,3320.0,89.0,29,https://pypi.org/project/nibabel,2020-11-28 22:18:23+00:00,1264.0,54452.0,54452.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n150,pandas-gbq,pydata/pandas-gbq,pandas-gbq,conda-forge/pandas-gbq,,db-clients,['pandas'],https://github.com/pydata/pandas-gbq,https://github.com/pydata/pandas-gbq,BSD-3-Clause,2017-02-08 13:07:19+00:00,2020-12-04 16:32:56+00:00,2020-12-04 16:32:54+00:00,83.0,33.0,153.0,229.0,216.0,2020-11-10 17:16:31+00:00,0.14.1,26.0,Pandas Google BigQuery.,2074.0,1642.0,29.0,29,https://pypi.org/project/pandas-gbq,2020-11-10 17:13:26+00:00,432.0,4584003.0,4584008.0,https://anaconda.org/conda-forge/pandas-gbq,,,True,3,186.0,,,,,,,,,,,,,,,,,,,,,,\n151,soupsieve,facelessuser/soupsieve,soupsieve,,,web-scraping,,https://github.com/facelessuser/soupsieve,https://github.com/facelessuser/soupsieve,MIT,2018-12-07 07:42:56+00:00,2020-12-14 18:10:01+00:00,2020-12-14 18:08:31+00:00,17.0,12.0,77.0,83.0,268.0,2020-12-10 23:42:29+00:00,2.1.0,36.0,A modern CSS selector implementation for BeautifulSoup.,93151.0,88907.0,8.0,29,https://pypi.org/project/soupsieve,2020-12-10 23:43:13+00:00,4244.0,7889937.0,7889937.0,,,,False,1,,,,,,,,,,,,,,,,,,,,,,,\n152,spleeter,deezer/spleeter,spleeter,,,audio,['tensorflow'],https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46+00:00,2020-12-11 12:05:57+00:00,2020-12-07 12:44:51+00:00,1513.0,85.0,390.0,15025.0,358.0,2020-10-23 12:15:02+00:00,2.0.1,26.0,Deezer source separation library including pretrained models.,118.0,118.0,17.0,28,https://pypi.org/project/spleeter,2020-10-23 12:15:02+00:00,,4911.0,66433.0,,,,True,2,861313.0,,,,,,,,,,,,,,,,,,,,,,\n153,pyspider,binux/pyspider,pyspider,,,web-scraping,,https://github.com/binux/pyspider,https://github.com/binux/pyspider,Apache-2.0,2014-02-21 19:18:47+00:00,2020-10-22 04:00:13+00:00,2020-08-02 17:34:20+00:00,3558.0,276.0,543.0,14769.0,1181.0,2018-04-18 04:25:22+00:00,0.3.10,17.0,A Powerful Spider(Web Crawler) System in Python.,313.0,283.0,62.0,28,https://pypi.org/project/pyspider,2018-04-18 04:17:18+00:00,30.0,1710.0,1710.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n154,PyTorch Geometric,rusty1s/pytorch_geometric,torch-geometric,,,graph,['pytorch'],https://github.com/rusty1s/pytorch_geometric,https://github.com/rusty1s/pytorch_geometric,MIT,2017-10-06 16:03:03+00:00,2020-12-16 11:47:34+00:00,2020-12-16 11:47:30+00:00,1645.0,631.0,1041.0,9693.0,4013.0,2020-12-02 14:57:09+00:00,1.6.3,25.0,Geometric Deep Learning Extension Library for PyTorch.,24.0,,135.0,28,https://pypi.org/project/torch-geometric,2020-11-27 07:18:41+00:00,24.0,11448.0,11448.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n155,Sonnet,deepmind/sonnet,dm-sonnet,,,ml-frameworks,['tensorflow'],https://github.com/deepmind/sonnet,https://github.com/deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35+00:00,2020-11-30 02:35:15+00:00,2020-10-08 10:01:11+00:00,1242.0,15.0,135.0,8659.0,545.0,2020-03-27 10:36:19+00:00,2.0.0,27.0,TensorFlow-based neural network library.,533.0,451.0,48.0,28,https://pypi.org/project/dm-sonnet,2020-03-27 10:36:10+00:00,82.0,21540.0,21540.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n156,DVC,iterative/dvc,,conda-forge/dvc,,ml-experiments,,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33+00:00,2020-12-16 12:34:12+00:00,2020-12-16 12:28:00+00:00,649.0,486.0,2092.0,6887.0,6136.0,2020-12-15 17:56:11+00:00,1.11.7,100.0,Data Version Control | Git for Data & Models.,495.0,495.0,197.0,28,,,,,1529.0,https://anaconda.org/conda-forge/dvc,,,True,2,15298.0,,dvc,,,,,,,,,,,,dvc,dvc,,,,,,,\n157,Pyro,pyro-ppl/pyro,pyro-ppl,,,probabilistics,['pytorch'],https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47+00:00,2020-12-15 16:43:21+00:00,2020-12-15 16:43:16+00:00,777.0,130.0,677.0,6639.0,2138.0,2020-11-17 23:30:42+00:00,1.5.1,24.0,Deep universal probabilistic programming with Python and PyTorch.,379.0,343.0,102.0,28,https://pypi.org/project/pyro-ppl,2020-11-17 23:22:46+00:00,36.0,12098.0,12098.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n158,tensorpack,tensorpack/tensorpack,tensorpack,,,ml-frameworks,['tensorflow'],https://github.com/tensorpack/tensorpack,https://github.com/tensorpack/tensorpack,Apache-2.0,2015-12-25 23:08:44+00:00,2020-11-13 17:32:23+00:00,2020-11-01 03:52:10+00:00,1718.0,11.0,1293.0,5853.0,2921.0,2020-04-24 19:01:06+00:00,0.10.1,36.0,\"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.\",713.0,637.0,55.0,28,https://pypi.org/project/tensorpack,2020-04-24 19:01:06+00:00,76.0,8615.0,8617.0,,,,True,3,94.0,,,,,,,,,,,,,,,,,,,,,,\n159,Datasets,huggingface/datasets,datasets,,,web-scraping,,https://github.com/huggingface/datasets,https://github.com/huggingface/datasets,Apache-2.0,2020-03-26 09:23:22+00:00,2020-12-16 12:50:45+00:00,2020-12-16 11:11:43+00:00,595.0,262.0,274.0,5792.0,1062.0,2020-11-19 18:33:56+00:00,1.1.3,11.0,\"Fast, efficient, open-access datasets and evaluation metrics in PyTorch, TensorFlow, NumPy and Pandas.\",214.0,196.0,178.0,28,https://pypi.org/project/datasets,2020-11-19 18:07:51+00:00,18.0,24531.0,24531.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n160,Modin,modin-project/modin,modin,,,data-containers,['pandas'],https://github.com/modin-project/modin,https://github.com/modin-project/modin,Apache-2.0,2018-06-21 21:35:05+00:00,2020-12-16 12:59:13+00:00,2020-12-15 22:11:34+00:00,374.0,394.0,1029.0,5529.0,1201.0,2020-11-10 17:45:21+00:00,0.8.2,35.0,Modin: Speed up your Pandas workflows by changing a single line of code.,275.0,266.0,63.0,28,https://pypi.org/project/modin,2020-11-10 02:44:02+00:00,9.0,43139.0,49864.0,,,,True,2,195052.0,,,,,,,,,,,,,,,,,,,,,,\n161,featuretools,alteryx/featuretools,featuretools,conda-forge/featuretools,,hyperopt,,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17+00:00,2020-12-16 00:38:26+00:00,2020-12-16 00:38:25+00:00,680.0,103.0,385.0,5268.0,569.0,2020-11-30 20:45:21+00:00,0.22.0,61.0,An open source python library for automated feature engineering.,681.0,611.0,49.0,28,https://pypi.org/project/featuretools,2020-11-30 20:46:32+00:00,70.0,67702.0,67702.0,https://anaconda.org/conda-forge/featuretools,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n162,faust,robinhood/faust,faust,,,data-pipelines,,https://github.com/robinhood/faust,https://github.com/robinhood/faust,BSD-3-Clause,2017-03-08 18:36:11+00:00,2020-11-17 10:35:41+00:00,2020-10-09 12:59:42+00:00,424.0,225.0,218.0,5119.0,4137.0,2020-02-25 22:57:18+00:00,1.10.4,46.0,Python Stream Processing.,574.0,546.0,90.0,28,https://pypi.org/project/faust,2020-02-25 22:57:18+00:00,28.0,86779.0,86779.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n163,Autograd,HIPS/autograd,autograd,,,others,,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23+00:00,2020-04-23 16:45:00+00:00,2019-11-18 14:32:40+00:00,712.0,161.0,216.0,5047.0,1375.0,2017-08-24 17:00:41+00:00,1.1.13,24.0,Efficiently computes derivatives of numpy code.,1650.0,1306.0,51.0,28,https://pypi.org/project/autograd,2019-07-25 16:21:07+00:00,344.0,345178.0,345178.0,,,,False,1,,,,,,,,,,,,,,,,,,,,,,,\n164,csvkit,wireservice/csvkit,csvkit,,,data-loading,,https://github.com/wireservice/csvkit,https://github.com/wireservice/csvkit,MIT,2011-04-01 03:00:30+00:00,2020-10-30 01:59:33+00:00,2020-10-30 01:59:29+00:00,535.0,56.0,743.0,4427.0,1693.0,2020-03-03 03:00:28+00:00,1.0.5,33.0,\"A suite of utilities for converting to and working with CSV, the king of tabular file formats.\",1486.0,784.0,91.0,28,https://pypi.org/project/csvkit,2020-03-03 03:00:28+00:00,702.0,28142.0,28142.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n165,GluonCV,dmlc/gluon-cv,gluoncv,,,image,['mxnet'],https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21+00:00,2020-12-16 09:02:53+00:00,2020-12-15 04:45:36+00:00,1016.0,367.0,371.0,4394.0,817.0,2020-12-02 23:04:17+00:00,0.9.0,935.0,Gluon CV Toolkit.,401.0,371.0,106.0,28,https://pypi.org/project/gluoncv,2020-12-16 09:02:53+00:00,30.0,91824.0,91824.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n166,snorkel,snorkel-team/snorkel,snorkel,,,data-loading,,https://github.com/snorkel-team/snorkel,https://github.com/snorkel-team/snorkel,Apache-2.0,2016-02-26 05:52:45+00:00,2020-10-02 14:30:46+00:00,2020-09-05 21:24:32+00:00,703.0,29.0,909.0,4343.0,2646.0,2020-08-09 03:07:36+00:00,0.9.6,17.0,A system for quickly generating training data with weak supervision.,65.0,61.0,62.0,28,https://pypi.org/project/snorkel,2020-04-07 01:35:21+00:00,4.0,70705.0,70715.0,,,,True,3,478.0,,,,,,,,,,,,,,,,,,,,,,\n167,librosa,librosa/librosa,librosa,,,audio,,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01+00:00,2020-10-19 21:24:48+00:00,2020-09-11 13:58:44+00:00,663.0,54.0,777.0,4127.0,,2020-07-22 01:34:55+00:00,0.8.0,28.0,Python library for audio and music analysis.,10160.0,8410.0,80.0,28,https://pypi.org/project/librosa,2020-07-22 01:34:55+00:00,1750.0,269754.0,269754.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n168,Tokenizers,huggingface/tokenizers,tokenizers,,,nlp,,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20+00:00,2020-12-15 16:50:46+00:00,2020-12-15 16:50:40+00:00,293.0,80.0,257.0,4078.0,1414.0,2020-11-10 04:37:50+00:00,0.9.4,57.0,Fast State-of-the-Art Tokenizers optimized for Research and Production.,20.0,20.0,39.0,28,https://pypi.org/project/tokenizers,2020-12-08 18:59:15+00:00,0.0,1046946.0,1046946.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n169,DEAP,deap/deap,deap,,,distributed-ml,,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39+00:00,2020-12-13 12:08:59+00:00,2020-12-13 12:08:59+00:00,823.0,166.0,218.0,3995.0,2145.0,2020-01-21 01:18:06+00:00,1.3.1,16.0,Distributed Evolutionary Algorithms in Python.,1955.0,1473.0,66.0,28,https://pypi.org/project/deap,2020-01-21 01:18:06+00:00,482.0,82102.0,82102.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,\n170,dataset,pudo/dataset,dataset,,,db-clients,,https://github.com/pudo/dataset,https://github.com/pudo/dataset,MIT,2013-04-01 14:57:55+00:00,2020-11-14 22:04:37+00:00,2020-11-14 22:02:17+00:00,256.0,11.0,231.0,3945.0,655.0,2020-11-14 22:04:37+00:00,1.4.1,46.0,\"Easy-to-use data handling for SQL data stores with support for implicit table creation, bulk loading, and transactions.\",2738.0,1710.0,71.0,28,https://pypi.org/project/dataset,2020-11-14 22:04:37+00:00,1028.0,48008.0,48008.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n171,Kornia,kornia/kornia,kornia,,,image,['pytorch'],https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37+00:00,2020-12-14 21:51:54+00:00,2020-12-14 21:51:53+00:00,345.0,103.0,230.0,3415.0,1461.0,2020-10-20 19:31:49+00:00,0.4.1,12.0,Open Source Differentiable Computer Vision Library for PyTorch.,208.0,208.0,77.0,28,https://pypi.org/project/kornia,2020-10-20 19:31:49+00:00,0.0,18473.0,18473.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n172,Kedro,quantumblacklabs/kedro,kedro,,,data-pipelines,,https://github.com/quantumblacklabs/kedro,https://github.com/quantumblacklabs/kedro,Apache-2.0,2019-04-18 10:29:56+00:00,2020-12-16 13:00:23+00:00,2020-12-14 15:14:11+00:00,375.0,71.0,326.0,3223.0,855.0,2020-10-23 10:48:09+00:00,0.16.6,23.0,\"A Python library that helps you create reproducible, maintainable and modular data science code.\",348.0,332.0,85.0,28,https://pypi.org/project/kedro,2020-10-23 10:48:09+00:00,16.0,75181.0,75181.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n173,dyNET,clab/dynet,dyNET,,,ml-frameworks,,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21+00:00,2020-10-22 07:16:17+00:00,2020-10-22 07:16:12+00:00,692.0,255.0,657.0,3154.0,3260.0,2020-10-21 14:31:01+00:00,2.1.2,24.0,DyNet: The Dynamic Neural Network Toolkit.,201.0,163.0,155.0,28,https://pypi.org/project/dyNET,2020-10-21 14:31:01+00:00,38.0,6442.0,6463.0,,,,True,3,1088.0,,,,,,,,,,,,,,,,,,,,,,\n174,Blaze,blaze/blaze,blaze,,,data-containers,,https://github.com/blaze/blaze,https://github.com/blaze/blaze,BSD-3-Clause,2012-10-26 14:25:22+00:00,2020-02-01 19:33:09+00:00,2019-08-15 21:14:59+00:00,373.0,262.0,500.0,2914.0,7496.0,2016-07-19 20:40:03+00:00,0.11.0,14.0,NumPy and Pandas interface to Big Data.,7803.0,7315.0,64.0,28,https://pypi.org/project/blaze,2016-05-06 21:19:21+00:00,488.0,10481.0,10481.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,\n175,Dedupe,dedupeio/dedupe,dedupe,,,nlp,,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36+00:00,2020-11-09 02:38:14+00:00,2020-11-09 02:38:13+00:00,402.0,49.0,568.0,2836.0,2792.0,2020-09-02 00:17:19+00:00,2.0.6,157.0,\"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.\",248.0,170.0,55.0,28,https://pypi.org/project/dedupe,2020-09-06 01:50:45+00:00,78.0,49637.0,49637.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n176,PyCaret,pycaret/pycaret,pycaret,,,ml-experiments,,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48+00:00,2020-12-14 11:25:03+00:00,2020-12-14 11:24:41+00:00,552.0,132.0,505.0,2661.0,1510.0,2020-11-26 01:45:00+00:00,2.2.2,67.0,\"An open-source, low-code machine learning library in Python.\",505.0,505.0,38.0,28,https://pypi.org/project/pycaret,2020-11-26 01:45:00+00:00,,26121.0,26188.0,,,,True,2,336.0,,,,,,,,,,,,,,,,,,,,,,\n177,phonenumbers,daviddrysdale/python-phonenumbers,phonenumbers,,,nlp,,https://github.com/daviddrysdale/python-phonenumbers,https://github.com/daviddrysdale/python-phonenumbers,Apache-2.0,2011-04-21 03:06:38+00:00,2020-12-16 08:06:19+00:00,2020-12-16 07:13:35+00:00,324.0,3.0,109.0,2590.0,,2020-12-04 08:41:00+00:00,8.12.15,166.0,Python port of Google's libphonenumber.,2280.0,,22.0,28,https://pypi.org/project/phonenumbers,2020-12-16 08:06:19+00:00,2280.0,847563.0,847563.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n178,VisPy,vispy/vispy,vispy,,,data-viz,['jupyter'],https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22+00:00,2020-12-04 15:15:35+00:00,2020-11-28 02:03:40+00:00,535.0,354.0,777.0,2525.0,6394.0,2020-12-14 15:55:00+00:00,0.6.6,16.0,High-performance interactive 2D/3D data visualization library.,552.0,430.0,144.0,28,https://pypi.org/project/vispy,2020-11-28 02:55:50+00:00,122.0,14997.0,15062.0,,,,True,2,,,,,,,,,vispy,https://www.npmjs.com/package/vispy,2020-03-15 14:39:41.516000+00:00,,65.0,,,,,,,,,,\n179,datashader,holoviz/datashader,datashader,conda-forge/datashader,,data-viz,,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20+00:00,2020-12-14 16:28:09+00:00,2020-12-11 22:01:59+00:00,306.0,144.0,314.0,2373.0,1268.0,2020-08-16 19:52:29+00:00,0.11.1,22.0,Quickly and accurately render even the largest data.,604.0,534.0,43.0,28,https://pypi.org/project/datashader,2020-12-04 13:28:34+00:00,70.0,16928.0,16928.0,https://anaconda.org/conda-forge/datashader,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n180,Catalyst,catalyst-team/catalyst,catalyst,,,ml-experiments,['pytorch'],https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13+00:00,2020-12-16 07:04:02+00:00,2020-12-14 18:29:35+00:00,261.0,28.0,252.0,2323.0,1461.0,2020-09-25 18:48:00+00:00,20.9.1,83.0,Accelerated deep learning R&D.,267.0,248.0,79.0,28,https://pypi.org/project/catalyst,2020-10-14 06:33:14+00:00,19.0,9036.0,9036.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n181,sklearn-pandas,scikit-learn-contrib/sklearn-pandas,sklearn-pandas,,,data-containers,\"['sklearn', 'pandas']\",https://github.com/scikit-learn-contrib/sklearn-pandas,https://github.com/scikit-learn-contrib/sklearn-pandas,Zlib,2013-04-22 22:55:20+00:00,2020-12-03 06:11:35+00:00,2020-12-03 06:11:34+00:00,377.0,40.0,114.0,2280.0,267.0,2020-10-01 20:56:27+00:00,2.0.3,24.0,Pandas integration with sklearn.,1752.0,1530.0,35.0,28,https://pypi.org/project/sklearn-pandas,2020-11-07 02:30:27+00:00,222.0,113123.0,113123.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,\n182,dbt,fishtown-analytics/dbt,dbt,,,data-pipelines,,https://github.com/fishtown-analytics/dbt,https://github.com/fishtown-analytics/dbt,Apache-2.0,2016-03-10 02:38:00+00:00,2020-12-16 06:10:15+00:00,2020-12-15 17:42:22+00:00,457.0,252.0,1400.0,2260.0,2481.0,2020-10-13 21:51:53+00:00,0.18.1,139.0,dbt (data build tool) enables data analysts and engineers to transform their data using the same practices that..,157.0,148.0,126.0,28,https://pypi.org/project/dbt,2020-10-21 00:46:58+00:00,9.0,87512.0,87512.0,,,,True,2,,,dbt,,,,,,,,,,,,,,,,,,,,\n183,implicit,benfred/implicit,implicit,,,recommender-systems,,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23+00:00,2020-11-15 19:47:27+00:00,2020-11-15 19:47:23+00:00,452.0,74.0,255.0,2187.0,300.0,2020-09-15 22:01:38+00:00,0.4.4,34.0,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,348.0,326.0,28.0,28,https://pypi.org/project/implicit,2020-09-15 22:01:38+00:00,22.0,101174.0,101174.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n184,AzureML SDK,Azure/MachineLearningNotebooks,azureml-sdk,,,ml-experiments,,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14+00:00,2020-12-12 00:49:34+00:00,2020-12-12 00:49:33+00:00,1464.0,49.0,838.0,2027.0,1081.0,2020-12-07 18:38:50+00:00,1.19.0,65.0,Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft.,60.0,,52.0,28,https://pypi.org/project/azureml-sdk,2020-12-07 18:38:50+00:00,60.0,302650.0,302664.0,,,,True,2,373.0,,,,,,,,,,,,,,,,,,,,,,\n185,ImageHash,JohannesBuchner/imagehash,ImageHash,,,image,,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48+00:00,2020-11-27 16:31:23+00:00,2020-11-27 16:31:13+00:00,238.0,17.0,69.0,1766.0,182.0,2020-11-19 14:54:24+00:00,4.2.0,17.0,A Python Perceptual Image Hashing Module.,2255.0,1723.0,17.0,28,https://pypi.org/project/ImageHash,2020-11-19 14:54:24+00:00,532.0,386459.0,386459.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n186,libcloud,apache/libcloud,apache-libcloud,,,db-clients,,https://github.com/apache/libcloud,https://github.com/apache/libcloud,Apache-2.0,2009-12-11 09:00:14+00:00,2020-12-14 19:02:53+00:00,2020-12-14 19:02:41+00:00,880.0,30.0,63.0,1723.0,,2020-09-20 13:03:47+00:00,3.2.0,61.0,Apache Libcloud is a Python library which hides differences between different cloud provider APIs and allows you to..,3100.0,1558.0,418.0,28,https://pypi.org/project/apache-libcloud,2020-09-20 13:03:47+00:00,1542.0,62039.0,62039.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n187,torchaudio,pytorch/audio,torchaudio,,,audio,['pytorch'],https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05+00:00,2020-12-16 12:30:53+00:00,2020-12-15 19:25:13+00:00,258.0,152.0,217.0,1160.0,613.0,2020-12-10 17:02:20+00:00,0.7.2,11.0,\"Data manipulation and transformation for audio signal processing, powered by PyTorch.\",879.0,870.0,82.0,28,https://pypi.org/project/torchaudio,2020-10-27 16:14:57+00:00,9.0,57963.0,57963.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n188,Bottleneck,pydata/bottleneck,Bottleneck,,,data-containers,,https://github.com/pydata/bottleneck,https://github.com/pydata/bottleneck,BSD-2-Clause,2010-11-27 23:21:22+00:00,2020-11-25 00:09:27+00:00,2020-11-25 00:09:25+00:00,60.0,22.0,177.0,563.0,1226.0,2020-02-21 06:22:16+00:00,1.3.2,21.0,Fast NumPy array functions written in C.,20191.0,17299.0,20.0,28,https://pypi.org/project/Bottleneck,2020-02-21 06:22:16+00:00,2892.0,199140.0,199140.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n189,inflect,jaraco/inflect,inflect,,,nlp,,https://github.com/jaraco/inflect,https://github.com/jaraco/inflect,MIT,2010-06-20 13:43:13+00:00,2020-12-08 10:56:54+00:00,2020-11-15 19:27:28+00:00,57.0,13.0,58.0,459.0,590.0,2020-11-15 17:41:03+00:00,5.0.2,30.0,\"Correctly generate plurals, ordinals, indefinite articles; convert numbers to words.\",1388.0,,25.0,28,https://pypi.org/project/inflect,2020-11-15 17:40:58+00:00,1388.0,1013449.0,1013449.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n190,minio,minio/minio-py,minio,,,db-clients,,https://github.com/minio/minio-py,https://github.com/minio/minio-py,Apache-2.0,2015-06-17 03:51:15+00:00,2020-12-10 17:13:57+00:00,2020-12-10 17:13:56+00:00,169.0,9.0,363.0,381.0,1005.0,2020-12-08 20:45:54+00:00,7.0.0,84.0,MinIO Client SDK for Python.,1505.0,1161.0,88.0,28,https://pypi.org/project/minio,2020-12-08 20:28:35+00:00,344.0,182425.0,182425.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n191,Cython BLIS,explosion/cython-blis,blis,conda-forge/cython-blis,,others,,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16+00:00,2020-12-07 08:56:44+00:00,2020-12-07 07:21:11+00:00,22.0,6.0,15.0,156.0,524.0,2020-12-07 08:56:44+00:00,0.7.4,35.0,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,7641.0,7251.0,9.0,28,https://pypi.org/project/blis,2020-12-07 08:56:44+00:00,390.0,903461.0,903461.0,https://anaconda.org/conda-forge/cython-blis,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n192,CNTK,microsoft/CNTK,cntk,,,ml-frameworks,,https://github.com/microsoft/CNTK,https://github.com/microsoft/CNTK,MIT,2015-11-26 09:52:06+00:00,2020-12-09 22:21:57+00:00,2020-03-31 15:55:14+00:00,4421.0,805.0,2513.0,16935.0,16116.0,2019-04-26 14:13:32+00:00,2.7,32.0,\"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.\",17.0,,265.0,27,https://pypi.org/project/cntk,2020-12-09 22:21:57+00:00,17.0,1767.0,1997.0,,,,True,3,13578.0,,,,,,,,,,,,,,,,,,,,,,\n193,shap,slundberg/shap,shap,,,interpretability,,https://github.com/slundberg/shap,https://github.com/slundberg/shap,MIT,2016-11-22 19:17:08+00:00,2020-12-16 04:14:06+00:00,2020-12-15 23:34:19+00:00,1589.0,843.0,490.0,11147.0,1631.0,2020-11-04 21:38:32+00:00,0.37.0,92.0,A game theoretic approach to explain the output of any machine learning model.,1888.0,1752.0,139.0,27,https://pypi.org/project/shap,2020-11-04 21:38:32+00:00,136.0,,,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n194,InsightFace,deepinsight/insightface,insightface,,,image,['mxnet'],https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,MIT,2017-09-01 00:36:51+00:00,2020-12-15 07:08:01+00:00,2020-12-08 12:54:34+00:00,2835.0,684.0,637.0,8220.0,1454.0,2019-09-07 13:47:11+00:00,0.1.5,6.0,Face Analysis Project on MXNet.,45.0,44.0,14.0,27,https://pypi.org/project/insightface,2019-09-07 13:47:11+00:00,1.0,17081.0,17081.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n195,TPOT,EpistasisLab/tpot,tpot,,,hyperopt,['sklearn'],https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40+00:00,2020-12-16 03:02:29+00:00,2020-12-14 15:04:13+00:00,1347.0,185.0,573.0,7692.0,2341.0,2020-12-14 15:07:26+00:00,0.11.6.post3,59.0,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,819.0,739.0,107.0,27,https://pypi.org/project/tpot,2020-12-14 15:07:56+00:00,80.0,32275.0,32275.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,\n196,AutoKeras,keras-team/autokeras,autokeras,,,hyperopt,['keras'],https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20+00:00,2020-12-16 11:20:07+00:00,2020-12-11 07:59:44+00:00,1241.0,59.0,645.0,7650.0,1228.0,2020-11-30 02:43:50+00:00,1.0.12,46.0,AutoML library for deep learning.,145.0,138.0,125.0,27,https://pypi.org/project/autokeras,2020-11-30 02:43:50+00:00,7.0,5790.0,5790.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n197,Google Images Download,hardikvasa/google-images-download,google_images_download,,,web-scraping,,https://github.com/hardikvasa/google-images-download,https://github.com/hardikvasa/google-images-download,MIT,2015-03-28 16:50:28+00:00,2020-12-06 13:01:13+00:00,2019-05-21 18:24:10+00:00,1699.0,103.0,159.0,7300.0,156.0,2019-05-14 00:35:40+00:00,2.7.1,39.0,Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!.,214.0,,38.0,27,https://pypi.org/project/google_images_download,2019-05-14 00:35:40+00:00,214.0,21012.0,21012.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n198,Records,kennethreitz42/records,records,conda-forge/records,,db-clients,,https://github.com/kennethreitz42/records,https://github.com/kennethreitz42/records,ISC,2014-12-24 15:20:23+00:00,2020-08-12 05:05:50+00:00,2019-08-20 04:06:01+00:00,531.0,55.0,81.0,6450.0,324.0,2019-02-21 13:34:41+00:00,0.5.3,10.0,SQL for Humans.,1001.0,701.0,37.0,27,https://pypi.org/project/records,2019-02-21 13:34:41+00:00,300.0,183929.0,183929.0,https://anaconda.org/conda-forge/records,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n199,dgl,dmlc/dgl,dgl,,,graph,,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09+00:00,2020-12-16 12:00:42+00:00,2020-12-16 06:56:38+00:00,1238.0,204.0,648.0,6251.0,1433.0,2020-11-30 07:39:12+00:00,0.5.3,323.0,\"Python package built to ease deep learning on graph, on top of existing DL frameworks.\",15.0,,91.0,27,https://pypi.org/project/dgl,2020-12-16 09:10:34+00:00,15.0,12805.0,12805.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n200,Bayesian Optimization,fmfn/BayesianOptimization,bayesian-optimization,,,hyperopt,,https://github.com/fmfn/BayesianOptimization,https://github.com/fmfn/BayesianOptimization,MIT,2014-06-06 08:18:56+00:00,2020-10-25 15:15:11+00:00,2020-07-13 17:18:09+00:00,1022.0,42.0,152.0,4715.0,197.0,2020-05-16 16:03:51+00:00,1.2.0,8.0,A Python implementation of global optimization with gaussian processes.,633.0,541.0,26.0,27,https://pypi.org/project/bayesian-optimization,2020-05-16 15:56:09+00:00,92.0,70574.0,70575.0,,,,True,2,43.0,,,,,,,,,,,,,,,,,,,,,,\n201,OpenNMT,OpenNMT/OpenNMT-py,OpenNMT-py,,,nlp,['pytorch'],https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50+00:00,2020-12-16 10:12:20+00:00,2020-12-09 16:36:52+00:00,1742.0,94.0,1108.0,4684.0,2525.0,2020-11-10 18:09:08+00:00,2.0.0rc2,26.0,Open Source Neural Machine Translation in PyTorch.,66.0,62.0,164.0,27,https://pypi.org/project/OpenNMT-py,2020-11-10 18:10:02+00:00,4.0,3827.0,3827.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n202,PyOD,yzhao062/pyod,pyod,,,others,,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04+00:00,2020-12-10 16:55:54+00:00,2020-11-17 16:47:31+00:00,797.0,85.0,78.0,3894.0,1227.0,2020-11-17 17:07:55+00:00,V0.8.4,62.0,A Python Toolbox for Scalable Outlier Detection (Anomaly Detection).,421.0,415.0,20.0,27,https://pypi.org/project/pyod,2020-11-17 17:05:43+00:00,6.0,89337.0,89337.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n203,skorch,skorch-dev/skorch,skorch,conda-forge/skorch,,ml-frameworks,\"['pytorch', 'sklearn']\",https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54+00:00,2020-12-16 04:14:43+00:00,2020-12-14 14:09:04+00:00,271.0,48.0,311.0,3665.0,923.0,2020-08-30 10:46:40+00:00,0.9.0,12.0,A scikit-learn compatible neural network library that wraps PyTorch.,253.0,240.0,38.0,27,https://pypi.org/project/skorch,2020-08-30 10:43:37+00:00,13.0,9090.0,9090.0,https://anaconda.org/conda-forge/skorch,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n204,OCRmyPDF,jbarlow83/OCRmyPDF,ocrmypdf,,,ocr,,https://github.com/jbarlow83/OCRmyPDF,https://github.com/jbarlow83/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28+00:00,2020-12-13 00:27:54+00:00,2020-12-13 00:27:38+00:00,406.0,90.0,536.0,3539.0,2784.0,2020-12-12 07:38:12+00:00,11.4.0,152.0,\"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.\",108.0,96.0,47.0,27,https://pypi.org/project/ocrmypdf,2020-12-12 07:38:12+00:00,12.0,12229.0,12229.0,,,,True,2,,,ocrmypdf,,,,,,,,,,,,ocrmypdf,,,,,,,,\n205,imutils,jrosebr1/imutils,imutils,,,image,,https://github.com/jrosebr1/imutils,https://github.com/jrosebr1/imutils,MIT,2015-01-11 20:05:39+00:00,2020-11-10 01:52:08+00:00,2019-08-18 11:50:57+00:00,851.0,123.0,75.0,3433.0,137.0,2019-08-18 11:56:06+00:00,0.5.3,28.0,\"A series of convenience functions to make basic image processing operations such as translation, rotation, resizing,..\",12035.0,10839.0,19.0,27,https://pypi.org/project/imutils,2019-08-18 11:56:06+00:00,1196.0,150609.0,150609.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,\n206,lightfm,lyst/lightfm,lightfm,,,recommender-systems,,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00+00:00,2020-12-05 21:55:42+00:00,2020-11-27 19:54:37+00:00,561.0,127.0,272.0,3412.0,404.0,2020-11-27 19:48:30+00:00,1.16,14.0,\"A Python implementation of LightFM, a hybrid recommendation algorithm.\",388.0,360.0,42.0,27,https://pypi.org/project/lightfm,2020-11-27 19:55:08+00:00,28.0,99148.0,99148.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n207,Ignite,pytorch/ignite,pytorch-ignite,pytorch/ignite,,ml-frameworks,['pytorch'],https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21+00:00,2020-12-16 07:36:15+00:00,2020-12-16 07:31:47+00:00,401.0,98.0,575.0,3185.0,811.0,2020-09-20 20:00:28+00:00,0.4.2,405.0,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,726.0,664.0,114.0,27,https://pypi.org/project/pytorch-ignite,2020-12-13 00:36:57+00:00,62.0,27857.0,27857.0,https://anaconda.org/pytorch/ignite,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n208,memory-profiler,pythonprofilers/memory_profiler,memory_profiler,,,system-monitoring,,https://github.com/pythonprofilers/memory_profiler,https://github.com/pythonprofilers/memory_profiler,BSD-3-Clause,2011-10-14 11:56:14+00:00,2020-12-03 12:57:49+00:00,2020-12-03 12:57:47+00:00,292.0,82.0,98.0,2647.0,618.0,2018-08-16 03:16:49+00:00,0.54.0,52.0,Monitor Memory usage of Python code.,534.0,,83.0,27,https://pypi.org/project/memory_profiler,2018-08-16 03:16:49+00:00,534.0,172275.0,172275.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n209,missingno,ResidentMario/missingno,missingno,,,data-viz,,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50+00:00,2020-11-23 17:34:43+00:00,2020-11-23 17:34:42+00:00,329.0,15.0,86.0,2567.0,169.0,2019-07-09 16:03:51+00:00,0.4.2,21.0,Missing data visualization module for Python.,2525.0,2449.0,14.0,27,https://pypi.org/project/missingno,2018-06-29 16:25:00+00:00,76.0,205117.0,205117.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n210,pomegranate,jmschrei/pomegranate,pomegranate,pomegranate,,probabilistics,,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58+00:00,2020-12-15 20:41:34+00:00,2020-12-12 22:53:40+00:00,459.0,34.0,525.0,2542.0,839.0,2020-10-13 16:38:32+00:00,0.13.5,59.0,\"Fast, flexible and easy to use probabilistic modelling in Python.\",377.0,349.0,60.0,27,https://pypi.org/project/pomegranate,2020-07-12 21:28:17+00:00,28.0,19039.0,19039.0,https://anaconda.org/anaconda/pomegranate,2020-10-13 16:38:32+00:00,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n211,NMSLIB,nmslib/nmslib,nmslib,,,nn-search,,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06+00:00,2020-12-03 17:55:42+00:00,2020-11-03 18:25:07+00:00,328.0,44.0,309.0,2224.0,1421.0,2020-04-16 18:21:23+00:00,2.0.6,21.0,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,348.0,296.0,40.0,27,https://pypi.org/project/nmslib,2020-04-16 18:21:23+00:00,52.0,56160.0,56160.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n212,GluonNLP,dmlc/gluon-nlp,gluonnlp,,,nlp,['mxnet'],https://github.com/dmlc/gluon-nlp,https://github.com/dmlc/gluon-nlp,Apache-2.0,2018-04-04 20:57:13+00:00,2020-12-16 08:39:42+00:00,2020-10-08 21:11:34+00:00,490.0,227.0,280.0,2190.0,781.0,2020-08-13 19:16:27+00:00,0.10.0,25.0,\"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..\",356.0,345.0,72.0,27,https://pypi.org/project/gluonnlp,2020-08-13 01:28:51+00:00,11.0,38488.0,38488.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n213,TRAINS,allegroai/trains,trains,,,ml-experiments,,https://github.com/allegroai/trains,https://github.com/allegroai/trains,Apache-2.0,2019-06-10 08:18:32+00:00,2020-12-10 11:03:43+00:00,2020-12-10 11:01:54+00:00,233.0,80.0,147.0,2021.0,910.0,2020-12-10 11:03:43+00:00,0.16.4,121.0,TRAINS - Auto-Magical Experiment Manager & Version Control for AI - NOW WITH AUTO-MAGICAL DEVOPS!.,51.0,51.0,23.0,27,https://pypi.org/project/trains,2020-12-10 10:59:49+00:00,0.0,150895.0,152558.0,,,,True,3,238.0,,,allegroai/trains,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671+00:00,,29714.0,,,,,,,,,,,,,,,\n214,Cufflinks,santosjorge/cufflinks,cufflinks,,,data-viz,['pandas'],https://github.com/santosjorge/cufflinks,https://github.com/santosjorge/cufflinks,MIT,2014-11-19 20:59:33+00:00,2020-10-07 16:12:54+00:00,2020-10-07 16:12:53+00:00,500.0,79.0,119.0,2018.0,450.0,2020-03-01 17:42:01+00:00,0.17.3,27.0,Productivity Tools for Plotly + Pandas.,2468.0,2351.0,37.0,27,https://pypi.org/project/cufflinks,2020-03-01 17:42:01+00:00,117.0,56819.0,56819.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n215,Databases,encode/databases,databases,,,db-clients,,https://github.com/encode/databases,https://github.com/encode/databases,BSD-3-Clause,2019-02-01 10:55:25+00:00,2020-12-10 06:34:13+00:00,2020-12-10 06:34:11+00:00,130.0,88.0,86.0,1838.0,268.0,2020-11-16 20:54:58+00:00,0.4.1,29.0,Async database support for Python.,1271.0,1211.0,28.0,27,https://pypi.org/project/databases,2020-11-16 20:54:58+00:00,60.0,47781.0,47781.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n216,ipyparallel,ipython/ipyparallel,ipyparallel,,,distributed-ml,['jupyter'],https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,BSD-3-Clause,2015-04-09 07:43:55+00:00,2020-08-30 18:57:51+00:00,2020-08-24 09:09:27+00:00,721.0,138.0,107.0,1837.0,1817.0,2020-05-05 18:42:38+00:00,6.3.0,21.0,Interactive Parallel Computing in Python.,1812.0,1322.0,94.0,27,https://pypi.org/project/ipyparallel,2020-05-05 18:42:38+00:00,490.0,51124.0,51124.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n217,TF-Agents,tensorflow/agents,tf-agents,,,reinforcement-learning,['tensorflow'],https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12+00:00,2020-12-15 22:58:43+00:00,2020-12-15 22:58:11+00:00,441.0,94.0,301.0,1722.0,1560.0,2020-11-17 03:53:32+00:00,0.7.0,16.0,TF-Agents is a library for Reinforcement Learning in TensorFlow.,324.0,318.0,83.0,27,https://pypi.org/project/tf-agents,2020-12-15 19:06:26+00:00,6.0,6512.0,6512.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n218,textacy,chartbeat-labs/textacy,textacy,,,nlp,,https://github.com/chartbeat-labs/textacy,https://github.com/chartbeat-labs/textacy,Apache-2.0,2016-02-03 16:52:45+00:00,2020-12-06 20:43:33+00:00,2020-12-06 20:43:27+00:00,211.0,29.0,194.0,1570.0,1328.0,2020-08-29 20:51:05+00:00,0.10.1,29.0,\"NLP, before and after spaCy.\",77.0,,28.0,27,https://pypi.org/project/textacy,2020-08-29 20:51:28+00:00,77.0,33879.0,33879.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n219,Ibis,ibis-project/ibis,ibis-framework,conda-forge/ibis-framework,,db-clients,,https://github.com/ibis-project/ibis,https://github.com/ibis-project/ibis,Apache-2.0,2015-04-17 20:43:46+00:00,2020-12-16 01:57:09+00:00,2020-12-14 14:21:58+00:00,243.0,514.0,937.0,1491.0,1318.0,2020-11-11 16:01:20+00:00,1.4.0,24.0,\"A pandas-like deferred expression system, with first-class SQL support.\",175.0,127.0,70.0,27,https://pypi.org/project/ibis-framework,2020-11-11 16:01:20+00:00,48.0,55404.0,55404.0,https://anaconda.org/conda-forge/ibis-framework,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n220,datasketch,ekzhu/datasketch,datasketch,,,data-containers,,https://github.com/ekzhu/datasketch,https://github.com/ekzhu/datasketch,MIT,2015-03-20 01:21:46+00:00,2020-12-15 20:59:57+00:00,2020-12-15 20:46:43+00:00,198.0,19.0,88.0,1393.0,191.0,2020-12-15 20:59:57+00:00,1.5.2,74.0,\"MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble.\",323.0,237.0,15.0,27,https://pypi.org/project/datasketch,2020-12-15 20:59:57+00:00,86.0,210427.0,210427.0,,,,True,3,16.0,,,,,,,,,,,,,,,,,,,,,,\n221,Cartopy,mapbox/rasterio,Cartopy,,,geospatial-data,,https://github.com/mapbox/rasterio,https://github.com/mapbox/rasterio,LGPL-3.0,2013-11-04 16:36:27+00:00,2020-12-15 00:21:47+00:00,2020-12-15 00:21:46+00:00,387.0,135.0,1183.0,1380.0,3239.0,2018-11-17 07:43:32+00:00,0.17.0,18.0,Rasterio reads and writes geospatial raster datasets.,2661.0,2488.0,109.0,27,https://pypi.org/project/Cartopy,2020-04-27 04:57:38+00:00,173.0,13708.0,13718.0,,,,False,2,701.0,,,,,,,,,,,,,,,,,,,,,,\n222,ipyleaflet,jupyter-widgets/ipyleaflet,ipyleaflet,,,geospatial-data,['jupyter'],https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10+00:00,2020-12-12 05:33:28+00:00,2020-11-30 13:43:59+00:00,264.0,125.0,243.0,1062.0,892.0,2020-07-29 08:54:44+00:00,0.13.3,66.0,A Jupyter - Leaflet.js bridge.,727.0,627.0,63.0,27,https://pypi.org/project/ipyleaflet,2020-07-24 15:15:48+00:00,98.0,17228.0,174344.0,,,,True,2,,,,,,,,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2020-07-24 14:55:26.216000+00:00,2.0,157116.0,,,,,,,,,,\n223,PyCUDA,inducer/pycuda,pycuda,,,gpu-utilities,,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31+00:00,2020-12-14 00:47:01+00:00,2020-12-08 04:43:10+00:00,214.0,40.0,122.0,1039.0,1445.0,2019-08-12 04:15:37+00:00,2019.1.2,46.0,\"CUDA integration for Python, plus shiny features.\",979.0,687.0,68.0,27,https://pypi.org/project/pycuda,2020-10-07 21:59:52+00:00,292.0,14076.0,14076.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n224,Model Analysis,tensorflow/model-analysis,tensorflow-model-analysis,,,interpretability,\"['tensorflow', 'jupyter']\",https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49+00:00,2020-12-16 06:01:15+00:00,2020-12-15 18:02:50+00:00,201.0,22.0,32.0,1010.0,861.0,2020-11-04 18:38:50+00:00,0.25.0,32.0,Model analysis tools for TensorFlow.,10.0,,33.0,27,https://pypi.org/project/tensorflow-model-analysis,2020-09-24 22:14:07+00:00,10.0,3452764.0,3452764.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n225,PyStan,stan-dev/pystan,pystan,,,probabilistics,,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,GPL-3.0,2013-05-24 01:21:21+00:00,2020-11-21 11:22:51+00:00,2020-11-21 11:22:43+00:00,192.0,66.0,425.0,892.0,867.0,2020-10-16 20:20:46+00:00,2.19.1.1-codes,54.0,\"PyStan, the Python interface to Stan.\",2599.0,2257.0,54.0,27,https://pypi.org/project/pystan,2020-11-19 14:21:16+00:00,342.0,798291.0,798292.0,,,,False,2,84.0,,,,,,,,,,,,,,,,,,,,,,\n226,igraph,igraph/python-igraph,python-igraph,,,graph,,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16+00:00,2020-12-11 08:07:37+00:00,2020-12-11 08:07:36+00:00,180.0,23.0,254.0,738.0,1502.0,2020-10-08 14:50:52+00:00,0.8.3,18.0,Python interface for igraph.,1763.0,1339.0,47.0,27,https://pypi.org/project/python-igraph,2020-04-28 17:45:27+00:00,424.0,54503.0,54808.0,,,,False,1,14665.0,,,,,,,,,,,,,,,,,,,,,,\n227,geojson,jazzband/geojson,geojson,,,geospatial-data,,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48+00:00,2020-11-25 21:55:02+00:00,2020-11-25 19:10:27+00:00,78.0,18.0,50.0,581.0,445.0,2019-08-09 20:32:15+00:00,2.5.0,28.0,Python bindings and utilities for GeoJSON.,6959.0,5355.0,44.0,27,https://pypi.org/project/geojson,2019-08-09 20:32:15+00:00,1604.0,433422.0,433422.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n228,Yappi,sumerc/yappi,yappi,,,system-monitoring,,https://github.com/sumerc/yappi,https://github.com/sumerc/yappi,MIT,2009-10-07 20:46:30+00:00,2020-12-09 16:11:47+00:00,2020-12-09 16:11:46+00:00,36.0,10.0,29.0,536.0,635.0,2020-11-27 15:28:40+00:00,1.3.2,17.0,\"Yet Another Python Profiler, but this time thread&coroutine&greenlet aware.\",979.0,339.0,21.0,27,https://pypi.org/project/yappi,2020-11-27 15:28:40+00:00,640.0,123683.0,123683.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n229,DIPY,dipy/dipy,dipy,conda-forge/dipy,,medical-data,,https://github.com/dipy/dipy,https://github.com/dipy/dipy,BSD-3-Clause,2010-02-06 11:43:08+00:00,2020-12-10 16:48:08+00:00,2020-12-10 16:48:07+00:00,313.0,156.0,571.0,367.0,11365.0,2020-11-05 17:35:53+00:00,1.3.0,21.0,\"DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal..\",405.0,311.0,118.0,27,https://pypi.org/project/dipy,2020-11-05 17:35:53+00:00,94.0,7530.0,7530.0,https://anaconda.org/conda-forge/dipy,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n230,Streamlit,streamlit/streamlit,streamlit,,,others,,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52+00:00,2020-12-16 04:58:20+00:00,2020-12-16 04:58:18+00:00,1017.0,506.0,902.0,12168.0,,2020-11-11 22:34:54+00:00,0.72.0,118.0,Streamlit The fastest way to build data apps in Python.,72.0,38.0,81.0,26,https://pypi.org/project/streamlit,2020-12-02 22:07:33+00:00,34.0,122873.0,122873.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n231,EasyOCR,JaidedAI/EasyOCR,easyocr,,,ocr,,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39+00:00,2020-12-15 20:22:43+00:00,2020-12-03 09:25:05+00:00,881.0,72.0,150.0,9505.0,358.0,2020-11-17 05:17:50+00:00,1.2,13.0,\"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..\",89.0,89.0,70.0,26,https://pypi.org/project/easyocr,2020-11-21 11:04:24+00:00,,7618.0,19380.0,,,,True,2,70575.0,,,,,,,,,,,,,,,,,,,,,,\n232,Dopamine,google/dopamine,dopamine-rl,,,reinforcement-learning,['tensorflow'],https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36+00:00,2020-11-24 20:59:46+00:00,2020-11-24 20:59:42+00:00,1225.0,72.0,68.0,9240.0,210.0,2020-10-16 22:05:03+00:00,3.1.8,34.0,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,31.0,,13.0,26,https://pypi.org/project/dopamine-rl,2020-10-16 22:05:03+00:00,31.0,52631.0,52631.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n233,NNI,microsoft/nni,nni,,,hyperopt,,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44+00:00,2020-12-16 12:29:28+00:00,2020-12-16 03:09:34+00:00,1080.0,235.0,845.0,8509.0,1816.0,2020-10-22 13:31:52+00:00,1.9,34.0,\"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..\",83.0,75.0,110.0,26,https://pypi.org/project/nni,2020-10-22 13:15:53+00:00,8.0,2413.0,2413.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n234,Ludwig,uber/ludwig,ludwig,,,ml-frameworks,['tensorflow'],https://github.com/uber/ludwig,https://github.com/uber/ludwig,Apache-2.0,2018-12-27 23:58:12+00:00,2020-12-16 04:09:32+00:00,2020-12-15 15:55:17+00:00,867.0,96.0,400.0,7350.0,2032.0,2020-11-16 23:55:59+00:00,0.3.1,14.0,Ludwig is a toolbox that allows to train and evaluate deep learning models without the need to write code.,77.0,71.0,84.0,26,https://pypi.org/project/ludwig,2020-10-05 23:55:39+00:00,6.0,1198.0,1198.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n235,PySyft,OpenMined/PySyft,syft,,,privacy-ml,['pytorch'],https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,MIT,2017-07-18 20:41:16+00:00,2020-12-16 12:16:47+00:00,2020-12-13 05:19:24+00:00,1509.0,173.0,2414.0,6649.0,6515.0,2020-11-12 19:57:33+00:00,0.3.0,48.0,A library for answering questions using data you cannot see.,3.0,,328.0,26,https://pypi.org/project/syft,2020-09-14 15:03:40+00:00,3.0,2685.0,2685.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n236,TensorLayer,tensorlayer/tensorlayer,tensorlayer,,,reinforcement-learning,['tensorflow'],https://github.com/tensorlayer/tensorlayer,https://github.com/tensorlayer/tensorlayer,Apache-2.0,2016-06-07 15:55:16+00:00,2020-12-15 06:43:41+00:00,2020-10-29 07:58:40+00:00,1444.0,48.0,403.0,6421.0,3299.0,2020-06-19 00:53:37+00:00,2.2.3,82.0,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,68.0,,127.0,26,https://pypi.org/project/tensorlayer,2020-06-19 00:53:37+00:00,68.0,2790.0,2813.0,,,,True,2,1193.0,,,,,,,,,,,,,,,,,,,,,,\n237,py-spy,benfred/py-spy,py-spy,,,system-monitoring,,https://github.com/benfred/py-spy,https://github.com/benfred/py-spy,MIT,2018-08-01 02:22:15+00:00,2020-12-13 00:31:30+00:00,2020-11-20 05:01:41+00:00,216.0,49.0,126.0,6304.0,338.0,2020-02-24 06:04:00+00:00,0.3.3,26.0,Sampling profiler for Python programs.,503.0,478.0,19.0,26,https://pypi.org/project/py-spy,2020-06-22 23:38:51+00:00,25.0,225793.0,226023.0,,,,True,2,3923.0,,,,,,,,,,,,,,,,py-spy,,,,,,\n238,imageai,OlafenwaMoses/ImageAI,imageai,,,image,,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33+00:00,2020-12-16 11:29:30+00:00,2020-01-14 21:25:23+00:00,1556.0,194.0,384.0,5537.0,277.0,2019-09-13 22:44:02+00:00,2.1.5,9.0,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,627.0,615.0,13.0,26,https://pypi.org/project/imageai,2019-09-13 22:44:02+00:00,12.0,6089.0,22079.0,,,,True,3,511688.0,,,,,,,,,,,,,,,,,,,,,,\n239,tsfresh,blue-yonder/tsfresh,tsfresh,,,time-series-data,['sklearn'],https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17+00:00,2020-12-15 07:10:20+00:00,2020-12-15 07:10:18+00:00,813.0,29.0,390.0,5219.0,398.0,2020-09-09 21:08:22+00:00,0.17.0,26.0,Automatic extraction of relevant features from time series:.,33.0,,69.0,26,https://pypi.org/project/tsfresh,2020-09-09 21:08:22+00:00,33.0,155359.0,155359.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n240,backtrader,mementum/backtrader,backtrader,,,financial-data,,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52+00:00,2020-12-16 04:54:58+00:00,2020-07-03 12:52:48+00:00,1617.0,13.0,,5176.0,2381.0,,,155.0,Python Backtesting library for trading strategies.,455.0,385.0,50.0,26,https://pypi.org/project/backtrader,2020-07-03 13:02:14+00:00,70.0,11943.0,11943.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,\n241,auto-sklearn,automl/auto-sklearn,auto-sklearn,,,hyperopt,['sklearn'],https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10+00:00,2020-12-14 08:21:46+00:00,2020-12-07 14:42:03+00:00,961.0,118.0,549.0,5068.0,2387.0,2020-12-08 13:18:41+00:00,0.12.0,24.0,Automated Machine Learning with scikit-learn.,136.0,121.0,63.0,26,https://pypi.org/project/auto-sklearn,2020-12-08 13:18:41+00:00,15.0,5854.0,5854.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n242,DeepPavlov,deepmipt/DeepPavlov,deeppavlov,,,nlp,\"['tensorflow', 'keras']\",https://github.com/deepmipt/DeepPavlov,https://github.com/deepmipt/DeepPavlov,Apache-2.0,2017-11-17 14:35:29+00:00,2020-12-16 11:41:22+00:00,2020-11-13 11:16:19+00:00,872.0,62.0,445.0,4892.0,2572.0,2020-11-13 11:39:59+00:00,0.13.0,40.0,An open source library for deep learning end-to-end dialog systems and chatbots.,168.0,164.0,60.0,26,https://pypi.org/project/deeppavlov,2020-11-13 11:22:35+00:00,4.0,6963.0,6963.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n243,keras-rl,keras-rl/keras-rl,keras-rl,,,reinforcement-learning,['keras'],https://github.com/keras-rl/keras-rl,https://github.com/keras-rl/keras-rl,MIT,2016-07-02 15:53:12+00:00,2020-11-20 07:32:13+00:00,2019-11-11 22:14:54+00:00,1284.0,39.0,209.0,4888.0,308.0,2018-06-01 07:52:24+00:00,0.4.2,8.0,Deep Reinforcement Learning for Keras.,486.0,435.0,40.0,26,https://pypi.org/project/keras-rl,2018-06-01 07:52:24+00:00,51.0,1406.0,1406.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,\n244,scikit-surprise,NicolasHug/Surprise,scikit-surprise,,,recommender-systems,,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38+00:00,2020-08-14 13:20:04+00:00,2020-08-05 17:45:59+00:00,803.0,35.0,285.0,4567.0,622.0,2020-07-19 14:50:48+00:00,1.1.1,9.0,A Python scikit for building and analyzing recommender systems.,850.0,826.0,38.0,26,https://pypi.org/project/scikit-surprise,2020-07-19 14:50:48+00:00,24.0,42631.0,42631.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n245,Metaflow,Netflix/metaflow,metaflow,,,ml-experiments,,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25+00:00,2020-12-02 20:53:41+00:00,2020-12-01 22:33:03+00:00,310.0,107.0,136.0,3855.0,174.0,2020-11-11 10:43:10+00:00,2.2.5,14.0,Build and manage real-life data science projects with ease.,97.0,96.0,28.0,26,https://pypi.org/project/metaflow,2020-10-29 00:11:07+00:00,1.0,38342.0,38342.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n246,MechanicalSoup,MechanicalSoup/MechanicalSoup,MechanicalSoup,,,web-scraping,,https://github.com/MechanicalSoup/MechanicalSoup,https://github.com/MechanicalSoup/MechanicalSoup,MIT,2014-05-26 09:06:11+00:00,2020-11-11 08:39:09+00:00,2020-11-11 08:39:08+00:00,308.0,21.0,119.0,3626.0,556.0,2019-08-27 16:49:38+00:00,0.12.0,23.0,A Python library for automating interaction with websites.,390.0,,41.0,26,https://pypi.org/project/MechanicalSoup,2019-08-27 16:49:38+00:00,390.0,33860.0,33860.0,,,,True,3,36.0,,,,,,,,,,,,,,,,,,,,,,\n247,pyAudioAnalysis,tyiannak/pyAudioAnalysis,pyAudioAnalysis,,,audio,,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13+00:00,2020-11-19 20:08:47+00:00,2020-11-19 20:08:40+00:00,922.0,158.0,103.0,3592.0,672.0,2020-09-29 21:30:02+00:00,0.3.6,15.0,\"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.\",180.0,169.0,23.0,26,https://pypi.org/project/pyAudioAnalysis,2020-09-29 21:30:02+00:00,11.0,9141.0,9141.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n248,tensorflow-probability,tensorflow/probability,tensorflow-probability,,,probabilistics,['tensorflow'],https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54+00:00,2020-12-16 00:00:17+00:00,2020-12-16 00:00:13+00:00,822.0,409.0,502.0,3161.0,10125.0,2020-10-09 23:49:08+00:00,0.11.1,33.0,Probabilistic reasoning and statistical analysis in TensorFlow.,253.0,1.0,397.0,26,https://pypi.org/project/tensorflow-probability,2020-11-11 05:06:46+00:00,252.0,,,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n249,Perspective,finos/perspective,perspective-python,,,data-viz,['jupyter'],https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54+00:00,2020-12-16 03:00:18+00:00,2020-12-16 03:00:14+00:00,327.0,69.0,277.0,3045.0,4228.0,2020-10-15 13:18:28+00:00,0.5.6,38.0,Streaming pivot visualization via WebAssembly.,164.0,160.0,58.0,26,https://pypi.org/project/perspective-python,2020-10-15 13:18:28+00:00,4.0,554.0,1732.0,,,,True,3,,,,,,,,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2020-10-15 12:44:46.020000+00:00,,1178.0,,,,,,,,,,\n250,sktime,alan-turing-institute/sktime,sktime,,,time-series-data,['sklearn'],https://github.com/alan-turing-institute/sktime,https://github.com/alan-turing-institute/sktime,BSD-3-Clause,2018-11-06 15:08:24+00:00,2020-12-16 11:02:35+00:00,2020-12-15 15:17:59+00:00,370.0,86.0,181.0,2694.0,1485.0,2020-10-20 17:12:29+00:00,0.4.3,9.0,A unified framework for machine learning with time series.,81.0,81.0,67.0,26,https://pypi.org/project/sktime,2020-10-20 16:11:01+00:00,,6955.0,6957.0,,,,True,1,41.0,,,,,,,,,,,,,,,,,,,,,,\n251,TensorFlow Datasets,tensorflow/datasets,tensorflow-datasets,,,data-loading,['tensorflow'],https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22+00:00,2020-12-16 13:07:22+00:00,2020-12-15 20:43:06+00:00,878.0,380.0,493.0,2569.0,3622.0,2020-11-04 12:02:52+00:00,4.1.0,19.0,\"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...\",3198.0,3096.0,175.0,26,https://pypi.org/project/tensorflow-datasets,2020-10-09 17:47:49+00:00,102.0,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n252,Dagster,dagster-io/dagster,dagster,,,data-pipelines,,https://github.com/dagster-io/dagster,https://github.com/dagster-io/dagster,Apache-2.0,2018-04-30 16:30:04+00:00,2020-12-16 11:35:45+00:00,2020-12-16 11:35:42+00:00,248.0,585.0,1723.0,2427.0,6085.0,2020-12-11 04:26:56+00:00,0.9.22.post0,224.0,\"A data orchestrator for machine learning, analytics, and ETL.\",127.0,123.0,106.0,26,https://pypi.org/project/dagster,2020-12-11 04:26:29+00:00,4.0,29141.0,29141.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n253,pyinstrument,joerick/pyinstrument,pyinstrument,,,system-monitoring,,https://github.com/joerick/pyinstrument,https://github.com/joerick/pyinstrument,BSD-3-Clause,2014-03-13 17:53:13+00:00,2020-12-16 10:17:15+00:00,2020-12-16 10:17:14+00:00,89.0,19.0,50.0,2300.0,397.0,2020-08-21 11:12:14+00:00,3.2.0,26.0,Call stack profiler for Python. Shows you why your code is slow!.,332.0,196.0,21.0,26,https://pypi.org/project/pyinstrument,2020-09-09 18:00:59+00:00,136.0,48094.0,48094.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n254,Hyperas,maxpumperla/hyperas,hyperas,,,hyperopt,['keras'],https://github.com/maxpumperla/hyperas,https://github.com/maxpumperla/hyperas,MIT,2016-02-19 14:45:10+00:00,2020-10-02 08:10:06+00:00,2020-10-02 08:10:05+00:00,296.0,88.0,158.0,2053.0,208.0,2019-02-28 09:16:54+00:00,0.4.1,9.0,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,208.0,187.0,21.0,26,https://pypi.org/project/hyperas,2019-02-28 09:16:54+00:00,21.0,15494.0,15494.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n255,Core ML Tools,apple/coremltools,coremltools,,,model-serialisation,,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02+00:00,2020-12-16 07:51:27+00:00,2020-12-16 07:36:04+00:00,319.0,294.0,296.0,2020.0,848.0,2020-10-10 18:21:00+00:00,4.0,27.0,\"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.\",557.0,424.0,107.0,26,https://pypi.org/project/coremltools,2020-10-10 18:16:12+00:00,133.0,40266.0,40319.0,,,,True,2,2103.0,,,,,,,,,,,,,,,,,,,,,,\n256,Grab,lorien/grab,grab,,,web-scraping,,https://github.com/lorien/grab,https://github.com/lorien/grab,MIT,2013-05-01 08:10:22+00:00,2020-12-10 19:43:05+00:00,2020-12-08 03:50:03+00:00,242.0,26.0,189.0,2017.0,2179.0,2018-06-24 14:27:52+00:00,0.6.41,120.0,Web Scraping Framework.,397.0,297.0,65.0,26,https://pypi.org/project/grab,2018-06-24 14:27:52+00:00,100.0,2664.0,2664.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n257,BoTorch,pytorch/botorch,botorch,,,hyperopt,['pytorch'],https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57+00:00,2020-12-13 17:12:06+00:00,2020-12-12 02:20:12+00:00,171.0,40.0,104.0,1778.0,784.0,2020-12-08 06:47:25+00:00,0.3.3,16.0,Bayesian optimization in PyTorch.,69.0,69.0,47.0,26,https://pypi.org/project/botorch,2020-12-08 06:47:25+00:00,0.0,28935.0,28935.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n258,PyFunctional,EntilZha/PyFunctional,pyfunctional,,,data-pipelines,,https://github.com/EntilZha/PyFunctional,https://github.com/EntilZha/PyFunctional,MIT,2015-02-05 17:17:51+00:00,2020-12-16 01:44:36+00:00,2020-09-17 13:33:20+00:00,96.0,3.0,113.0,1744.0,513.0,2020-09-17 13:36:04+00:00,1.4.2,13.0,Python library for creating data pipelines with chain functional programming.,240.0,240.0,21.0,26,https://pypi.org/project/pyfunctional,2020-09-17 13:36:04+00:00,0.0,35068.0,35068.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n259,Foolbox,bethgelab/foolbox,foolbox,,,adversarial,,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48+00:00,2020-10-19 15:16:32+00:00,2020-10-19 12:41:49+00:00,307.0,38.0,260.0,1730.0,1634.0,2020-09-26 06:49:13+00:00,3.2.1,66.0,\"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.\",175.0,157.0,30.0,26,https://pypi.org/project/foolbox,2020-09-26 06:49:13+00:00,18.0,1442.0,1442.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n260,langid,saffsd/langid.py,langid,,,nlp,,https://github.com/saffsd/langid.py,https://github.com/saffsd/langid.py,BSD-3-Clause,2011-04-29 00:16:56+00:00,2020-01-01 10:49:30+00:00,2017-07-15 02:49:17+00:00,265.0,25.0,45.0,1688.0,242.0,2016-04-05 22:34:15+00:00,1.1.6,8.0,Stand-alone language identification system.,809.0,559.0,9.0,26,https://pypi.org/project/langid,2016-04-05 22:34:15+00:00,250.0,533971.0,533971.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,\n261,Diamond,python-diamond/Diamond,diamond,,,system-monitoring,,https://github.com/python-diamond/Diamond,https://github.com/python-diamond/Diamond,MIT,2013-10-11 23:32:13+00:00,2020-05-26 18:27:46+00:00,2018-03-15 16:54:31+00:00,592.0,226.0,128.0,1592.0,3219.0,2016-11-25 22:13:29+00:00,4.0.515,36.0,Diamond is a python daemon that collects system metrics and publishes them to Graphite (and others). It is capable of..,85.0,54.0,342.0,26,https://pypi.org/project/diamond,2016-11-25 22:13:29+00:00,31.0,22063.0,22063.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,\n262,tslearn,tslearn-team/tslearn,tslearn,conda-forge/tslearn,,time-series-data,['sklearn'],https://github.com/tslearn-team/tslearn,https://github.com/tslearn-team/tslearn,BSD-2-Clause,2017-05-04 13:08:13+00:00,2020-12-16 09:59:00+00:00,2020-12-07 10:09:00+00:00,209.0,51.0,159.0,1409.0,1525.0,2020-06-18 15:54:49+00:00,0.4.1,90.0,A machine learning toolkit dedicated to time-series data.,175.0,164.0,27.0,26,https://pypi.org/project/tslearn,2020-06-18 16:13:01+00:00,11.0,40135.0,40135.0,https://anaconda.org/conda-forge/tslearn,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n263,tesserocr,sirfz/tesserocr,tesserocr,conda-forge/tesserocr,,ocr,,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36+00:00,2020-11-17 19:55:51+00:00,2020-11-17 19:55:36+00:00,185.0,60.0,141.0,1365.0,151.0,2020-03-17 17:45:44+00:00,2.5.1,15.0,A Python wrapper for the tesseract-ocr API.,478.0,428.0,23.0,26,https://pypi.org/project/tesserocr,2020-03-17 17:45:44+00:00,50.0,45863.0,45863.0,https://anaconda.org/conda-forge/tesserocr,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n264,Flax,google/flax,flax,,,ml-frameworks,['jax'],https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37+00:00,2020-12-16 10:11:33+00:00,2020-12-16 10:10:32+00:00,147.0,114.0,100.0,1292.0,1380.0,2020-12-08 15:13:37+00:00,0.3.0,9.0,Flax is a neural network ecosystem for JAX that is designed for flexibility.,70.0,67.0,68.0,26,https://pypi.org/project/flax,2020-12-08 15:14:03+00:00,3.0,49663.0,49664.0,,,,True,3,16.0,,,,,,,,,,,,,,,,,,,,,,\n265,TF Model Optimization,tensorflow/model-optimization,tensorflow-model-optimization,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/model-optimization,https://github.com/tensorflow/model-optimization,Apache-2.0,2018-10-31 20:34:28+00:00,2020-12-05 10:45:55+00:00,2020-11-23 18:50:28+00:00,207.0,70.0,86.0,929.0,459.0,2020-09-14 04:46:03+00:00,0.5.0,20.0,\"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.\",484.0,481.0,41.0,26,https://pypi.org/project/tensorflow-model-optimization,2020-09-14 04:36:08+00:00,3.0,57472.0,57472.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n266,petl,petl-developers/petl,petl,,http://petl.readthedocs.org,data-pipelines,,https://github.com/petl-developers/petl,https://github.com/petl-developers/petl,MIT,2011-08-19 09:51:03+00:00,2020-12-10 17:03:13+00:00,2020-10-06 16:17:45+00:00,146.0,66.0,341.0,801.0,1098.0,2020-10-06 00:03:28+00:00,1.6.8,74.0,Python Extract Transform and Load Tables of Data.,413.0,299.0,42.0,26,https://pypi.org/project/petl,2020-10-06 00:03:28+00:00,114.0,16576.0,16576.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n267,cx-Oracle,oracle/python-cx_Oracle,cx-Oracle,,,db-clients,,https://github.com/oracle/python-cx_Oracle,https://github.com/oracle/python-cx_Oracle,BSD-3-Clause,2017-03-07 04:03:36+00:00,2020-12-13 12:29:47+00:00,2020-12-08 20:18:07+00:00,243.0,32.0,456.0,685.0,1074.0,2020-12-08 21:31:48+00:00,8.1.0,32.0,Python interface to Oracle Database conforming to the Python DB API 2.0 specification.,144.0,,16.0,26,https://pypi.org/project/cx-Oracle,2020-12-08 21:31:48+00:00,144.0,1028008.0,1028008.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n268,dask-ml,dask/dask-ml,dask-ml,,,distributed-ml,,https://github.com/dask/dask-ml,https://github.com/dask/dask-ml,BSD-3-Clause,2017-06-15 15:56:06+00:00,2020-11-25 22:14:18+00:00,2020-11-25 22:14:17+00:00,177.0,173.0,200.0,677.0,749.0,2020-09-24 19:34:38+00:00,1.7.0,26.0,Scalable Machine Learning with Dask.,359.0,317.0,60.0,26,https://pypi.org/project/dask-ml,2020-09-24 19:34:38+00:00,42.0,42240.0,42240.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n269,TensorFlow Text,tensorflow/text,tensorflow-text,,,nlp,['tensorflow'],https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03+00:00,2020-12-16 01:46:42+00:00,2020-12-16 01:36:18+00:00,84.0,41.0,79.0,668.0,312.0,2020-07-28 22:33:24+00:00,2.3.0,27.0,Making text a first-class citizen in TensorFlow.,372.0,368.0,30.0,26,https://pypi.org/project/tensorflow-text,2020-11-16 09:35:04+00:00,4.0,123342.0,123342.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n270,empyrical,quantopian/empyrical,empyrical,,,financial-data,,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52+00:00,2020-10-14 13:23:19+00:00,2020-10-14 13:22:39+00:00,205.0,27.0,26.0,656.0,167.0,2020-10-13 21:28:25+00:00,0.5.5,20.0,Common financial risk and performance metrics. Used by zipline and pyfolio.,699.0,477.0,22.0,26,https://pypi.org/project/empyrical,2020-10-13 17:31:37+00:00,222.0,12728.0,12728.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n271,PyVista,pyvista/pyvista,pyvista,,,data-viz,['jupyter'],https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42+00:00,2020-12-13 07:01:28+00:00,2020-12-11 18:45:40+00:00,132.0,114.0,259.0,614.0,2041.0,2020-12-10 16:30:09+00:00,0.27.4,32.0,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,240.0,214.0,46.0,26,https://pypi.org/project/pyvista,2020-12-10 16:30:09+00:00,26.0,9937.0,9937.0,,,,True,3,14.0,,,,,,,,,,,,,,,,,,,,,,\n272,zarr,zarr-developers/zarr-python,zarr,zarr,,data-containers,,https://github.com/zarr-developers/zarr-python,https://github.com/zarr-developers/zarr-python,MIT,2015-12-15 14:49:40+00:00,2020-12-16 01:28:45+00:00,2020-12-03 23:40:02+00:00,102.0,176.0,228.0,599.0,1349.0,2020-10-08 19:26:53+00:00,2.5.0,31.0,\"An implementation of chunked, compressed, N-dimensional arrays for Python.\",564.0,492.0,35.0,26,https://pypi.org/project/zarr,2020-12-02 18:33:13+00:00,72.0,22496.0,22496.0,https://anaconda.org/anaconda/zarr,2020-10-08 19:26:53+00:00,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n273,Mesh,tensorflow/mesh,mesh-tensorflow,,,distributed-ml,['tensorflow'],https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34+00:00,2020-12-15 16:11:16+00:00,2020-12-15 16:11:07+00:00,107.0,61.0,12.0,598.0,565.0,2020-10-13 13:40:11+00:00,0.1.17,23.0,Mesh TensorFlow: Model Parallelism Made Easier.,490.0,462.0,38.0,26,https://pypi.org/project/mesh-tensorflow,2020-10-13 13:40:11+00:00,28.0,73335.0,73335.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n274,SMAC3,automl/SMAC3,smac,,,hyperopt,,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-3-Clause,2016-08-17 10:58:05+00:00,2020-12-16 11:32:57+00:00,2020-10-29 10:14:55+00:00,153.0,76.0,250.0,541.0,1888.0,2020-10-29 10:57:56+00:00,0.13.1,29.0,Sequential Model-based Algorithm Configuration.,58.0,,30.0,26,https://pypi.org/project/smac,2020-10-29 10:57:56+00:00,58.0,10149.0,10149.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n275,mpi4py,mpi4py/mpi4py,mpi4py,,,distributed-ml,,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-3-Clause,2013-09-05 14:44:25+00:00,2020-12-16 11:31:07+00:00,2020-12-15 11:42:56+00:00,60.0,,3.0,365.0,2168.0,2020-07-27 06:40:19+00:00,3.0.3,13.0,Python bindings for MPI.,700.0,,13.0,26,https://pypi.org/project/mpi4py,2019-11-04 13:05:10+00:00,700.0,226453.0,226490.0,,,,True,2,186.0,,,,,,,,,,,,,,,,,,,,,,\n276,DeepSpeech,mozilla/DeepSpeech,deepspeech,,,audio,['tensorflow'],https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53+00:00,2020-12-10 15:57:30+00:00,,2959.0,80.0,,16001.0,,2020-11-05 10:06:04+00:00,0.9.1,97.0,\"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..\",29.0,,93.0,25,https://pypi.org/project/deepspeech,2020-11-05 10:06:04+00:00,29.0,15698.0,15698.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n277,MMDetection,open-mmlab/mmdetection,,,,image,['pytorch'],https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06+00:00,2020-12-16 07:12:50+00:00,2020-12-15 14:46:59+00:00,4435.0,379.0,2783.0,12881.0,1356.0,2020-11-30 15:29:24+00:00,2.7.0,7.0,OpenMMLab Detection Toolbox and Benchmark.,17.0,17.0,180.0,25,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n278,NuPIC,numenta/nupic,nupic,,,ml-frameworks,,https://github.com/numenta/nupic,https://github.com/numenta/nupic,AGPL-3.0,2013-04-05 23:14:27+00:00,2020-12-11 19:56:36+00:00,2019-10-23 20:45:07+00:00,1585.0,456.0,1337.0,6190.0,6625.0,2018-06-01 15:37:54+00:00,1.0.5,53.0,\"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..\",124.0,86.0,119.0,25,https://pypi.org/project/nupic,2018-06-01 15:37:54+00:00,38.0,1478.0,1478.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n279,PyTorch Image Models,rwightman/pytorch-image-models,,,,image,['pytorch'],https://github.com/rwightman/pytorch-image-models,https://github.com/rwightman/pytorch-image-models,Apache-2.0,2019-02-02 05:51:12+00:00,2020-12-09 01:04:58+00:00,2020-12-08 18:19:36+00:00,828.0,22.0,195.0,5949.0,633.0,2020-10-26 23:59:21+00:00,0.1-itjx,12.0,\"PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2,..\",207.0,207.0,25.0,25,,,,,7415.0,,,,True,3,140902.0,,,,,,,,,,,,,,,,,,,,,,\n280,Trax,google/trax,trax,,,others,,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14+00:00,2020-12-16 02:19:38+00:00,2020-12-16 02:19:28+00:00,497.0,53.0,94.0,5407.0,1205.0,2020-10-21 02:32:42+00:00,1.3.6,19.0,Trax Deep Learning with Clear Code and Speed.,14.0,14.0,52.0,25,https://pypi.org/project/trax,2020-10-21 02:31:08+00:00,,2642.0,2642.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n281,CleverHans,tensorflow/cleverhans,cleverhans,,,adversarial,['tensorflow'],https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04+00:00,2020-12-09 17:37:00+00:00,2020-07-09 02:26:15+00:00,1209.0,52.0,373.0,4865.0,3001.0,2018-11-27 17:36:15+00:00,3.0.1,6.0,\"An adversarial example library for constructing attacks, building defenses, and benchmarking both.\",182.0,174.0,108.0,25,https://pypi.org/project/cleverhans,2018-11-27 17:36:15+00:00,8.0,841.0,841.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n282,Edward,blei-lab/edward,edward,,,probabilistics,['tensorflow'],https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05+00:00,2019-10-22 20:30:48+00:00,2018-07-25 01:28:08+00:00,767.0,212.0,327.0,4584.0,1796.0,2018-01-22 06:03:37+00:00,1.3.5,28.0,\"A probabilistic programming language in TensorFlow. Deep generative models, variational inference.\",239.0,202.0,87.0,25,https://pypi.org/project/edward,2018-01-22 06:03:05+00:00,37.0,1223.0,1223.0,,,,False,2,10.0,,,,,,,,,,,,,,,,,,,,,,\n283,Augmentor,mdbloice/Augmentor,Augmentor,,,image,,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55+00:00,2020-11-10 05:20:01+00:00,2020-03-09 11:32:02+00:00,777.0,115.0,67.0,4244.0,511.0,2020-01-17 11:59:53+00:00,0.2.8,20.0,Image augmentation library in Python for machine learning.,307.0,265.0,22.0,25,https://pypi.org/project/Augmentor,2020-01-17 11:59:53+00:00,42.0,2802.0,2802.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n284,BigDL,intel-analytics/BigDL,bigdl,,,distributed-ml,,https://github.com/intel-analytics/BigDL,https://github.com/intel-analytics/BigDL,Apache-2.0,2016-08-29 07:59:50+00:00,2020-12-10 08:34:34+00:00,2020-12-10 06:32:39+00:00,899.0,180.0,725.0,3678.0,2655.0,2020-12-06 03:04:34+00:00,0.12.1,36.0,BigDL: Distributed Deep Learning Framework for Apache Spark.,22.0,19.0,71.0,25,https://pypi.org/project/bigdl,2020-12-06 03:04:34+00:00,3.0,1123.0,1123.0,,,,True,2,,,,,,,,,,,,,,,,,,com.intel.analytics.bigdl:bigdl-SPARK_2.4,https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4,2020-12-05 03:54:47+00:00,0.0,,\n285,mlpack,mlpack/mlpack,mlpack,,,ml-frameworks,,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59+00:00,2020-12-16 08:26:36+00:00,2020-12-16 01:22:21+00:00,1276.0,156.0,1170.0,3486.0,25512.0,2020-10-28 18:28:47+00:00,3.4.2,40.0,mlpack: a scalable C++ machine learning library --.,,,257.0,25,https://pypi.org/project/mlpack,2020-10-28 18:28:47+00:00,,332.0,332.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n286,pyfolio,quantopian/pyfolio,pyfolio,,,financial-data,,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39+00:00,2020-07-29 16:06:37+00:00,2020-07-15 13:46:58+00:00,990.0,119.0,263.0,3290.0,1184.0,2019-04-15 14:54:03+00:00,0.9.1,21.0,Portfolio and risk analytics in Python.,208.0,181.0,55.0,25,https://pypi.org/project/pyfolio,2019-04-15 14:54:03+00:00,27.0,5832.0,5832.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n287,Alpha Vantage,RomelTorres/alpha_vantage,alpha_vantage,,,financial-data,,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00+00:00,2020-09-05 22:07:00+00:00,2020-09-03 14:05:24+00:00,533.0,18.0,190.0,2899.0,467.0,2020-04-26 21:04:59+00:00,2.2.0,28.0,A python wrapper for Alpha Vantage API for financial data.,202.0,,34.0,25,https://pypi.org/project/alpha_vantage,2018-08-26 18:55:11+00:00,202.0,26209.0,26209.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n288,ftfy,LuminosoInsight/python-ftfy,ftfy,,,nlp,,https://github.com/LuminosoInsight/python-ftfy,https://github.com/LuminosoInsight/python-ftfy,MIT,2012-08-24 16:14:59+00:00,2020-08-21 18:13:12+00:00,2020-07-17 21:21:57+00:00,98.0,12.0,92.0,2858.0,510.0,2020-02-18 16:42:00+00:00,5.6.1,41.0,\"Fixes mojibake and other glitches in Unicode text, after the fact.\",3246.0,2486.0,17.0,25,https://pypi.org/project/ftfy,2020-07-20 21:50:51+00:00,760.0,262364.0,262364.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n289,AutoGluon,awslabs/autogluon,autogluon,,,hyperopt,['mxnet'],https://github.com/awslabs/autogluon,https://github.com/awslabs/autogluon,Apache-2.0,2019-07-29 18:51:24+00:00,2020-12-16 09:14:31+00:00,2020-12-14 07:42:47+00:00,367.0,145.0,213.0,2815.0,441.0,2020-12-08 19:01:22+00:00,0.0.15,267.0,\"AutoGluon: AutoML for Text, Image, and Tabular Data.\",42.0,42.0,50.0,25,https://pypi.org/project/autogluon,2020-12-16 09:14:31+00:00,,9031.0,9031.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n290,Chartify,spotify/chartify,chartify,,,data-viz,,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05+00:00,2020-11-02 22:14:08+00:00,2020-11-02 22:11:04+00:00,242.0,40.0,30.0,2785.0,186.0,2020-11-02 22:14:08+00:00,3.0.3,16.0,Python library that makes it easy for data scientists to create charts.,56.0,51.0,19.0,25,https://pypi.org/project/chartify,2020-11-02 22:14:08+00:00,5.0,9879.0,9879.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n291,nevergrad,facebookresearch/nevergrad,nevergrad,,,hyperopt,,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17+00:00,2020-12-16 12:38:57+00:00,2020-12-15 16:06:27+00:00,265.0,68.0,114.0,2748.0,725.0,2020-08-04 12:13:07+00:00,0.4.2,25.0,A Python toolbox for performing gradient-free optimization.,118.0,104.0,40.0,25,https://pypi.org/project/nevergrad,2020-12-10 15:37:29+00:00,14.0,7514.0,7514.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n292,Stable Baselines,hill-a/stable-baselines,stable-baselines,,,reinforcement-learning,,https://github.com/hill-a/stable-baselines,https://github.com/hill-a/stable-baselines,MIT,2018-07-02 14:28:59+00:00,2020-12-15 19:08:26+00:00,2020-10-12 12:10:17+00:00,537.0,118.0,703.0,2701.0,834.0,2020-08-05 19:45:11+00:00,2.10.1,30.0,\"A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.\",25.0,,109.0,25,https://pypi.org/project/stable-baselines,2020-08-05 19:42:14+00:00,25.0,8387.0,8387.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n293,Sumy,miso-belica/sumy,sumy,,,nlp,,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48+00:00,2020-11-21 17:08:35+00:00,2020-11-21 17:08:33+00:00,431.0,10.0,78.0,2443.0,397.0,2019-05-19 14:39:21+00:00,0.8.1,13.0,Module for automatic summarization of text documents and HTML pages.,799.0,607.0,20.0,25,https://pypi.org/project/sumy,2019-05-19 14:38:29+00:00,192.0,9132.0,9132.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n294,Pony,ponyorm/pony,pony,conda-forge/pony,,db-clients,,https://github.com/ponyorm/pony,https://github.com/ponyorm/pony,Apache-2.0,2013-02-08 04:56:00+00:00,2020-11-23 19:12:54+00:00,2020-11-23 17:42:03+00:00,186.0,235.0,299.0,2396.0,,2020-11-23 19:13:28+00:00,0.7.14,44.0,Pony Object Relational Mapper.,2139.0,1601.0,20.0,25,https://pypi.org/project/pony,2020-11-23 18:56:34+00:00,538.0,25032.0,25032.0,https://anaconda.org/conda-forge/pony,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n295,Neural Network Libraries,sony/nnabla,nnabla,,,ml-frameworks,,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10+00:00,2020-12-11 07:37:11+00:00,2020-12-11 07:37:10+00:00,303.0,35.0,18.0,2387.0,2189.0,2020-12-10 11:43:51+00:00,1.14.0,49.0,Neural Network Libraries.,34.0,,54.0,25,https://pypi.org/project/nnabla,2020-11-04 05:00:37+00:00,34.0,2696.0,2708.0,,,,True,3,506.0,,,,,,,,,,,,,,,,,,,,,,\n296,gpustat,wookayin/gpustat,gpustat,,,system-monitoring,,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43+00:00,2020-05-19 04:45:48+00:00,2020-05-19 04:45:47+00:00,180.0,18.0,44.0,2138.0,165.0,2019-07-22 06:37:00+00:00,0.6.0,10.0,A simple command-line utility for querying and monitoring GPU status.,574.0,516.0,10.0,25,https://pypi.org/project/gpustat,2019-07-22 06:17:48+00:00,58.0,146754.0,146754.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n297,Captum,pytorch/captum,captum,,,interpretability,['pytorch'],https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41+00:00,2020-12-15 23:28:56+00:00,2020-12-15 01:02:25+00:00,189.0,44.0,120.0,1984.0,769.0,2020-11-13 23:52:08+00:00,0.3.0,4.0,Model interpretability and understanding for PyTorch.,94.0,94.0,66.0,25,https://pypi.org/project/captum,2020-11-13 20:23:21+00:00,,8099.0,8099.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n298,polyglot,aboSamoor/polyglot,polyglot,,,nlp,,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,GPL-3.0,2014-06-30 02:07:45+00:00,2020-10-27 10:55:53+00:00,2020-09-22 22:35:28+00:00,292.0,132.0,62.0,1728.0,271.0,2016-07-03 20:05:42+00:00,16.7.4,8.0,Multilingual text (NLP) processing toolkit.,471.0,406.0,26.0,25,https://pypi.org/project/polyglot,2016-07-03 20:05:42+00:00,65.0,48826.0,48826.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,\n299,Jina,jina-ai/jina,jina,,,nlp,,https://github.com/jina-ai/jina,https://github.com/jina-ai/jina,Apache-2.0,2020-02-13 17:04:44+00:00,2020-12-16 12:11:40+00:00,2020-12-16 08:43:53+00:00,294.0,37.0,472.0,1670.0,4165.0,2020-12-14 14:15:05+00:00,0.8.7,95.0,An easier way to build neural search in the cloud.,39.0,39.0,72.0,25,https://pypi.org/project/jina,2020-12-15 15:04:53+00:00,,1291.0,7402.0,,,,True,2,,,,jinaai/jina,https://hub.docker.com/r/jinaai/jina,2020-12-16 08:48:30.464392+00:00,,61119.0,,,,,,,,,,,,,,,\n300,category_encoders,scikit-learn-contrib/category_encoders,category_encoders,,,others,['sklearn'],https://github.com/scikit-learn-contrib/category_encoders,https://github.com/scikit-learn-contrib/category_encoders,BSD-3-Clause,2015-11-29 19:32:37+00:00,2020-11-10 15:17:22+00:00,2020-07-31 10:43:44+00:00,289.0,61.0,133.0,1527.0,671.0,2020-04-29 02:09:51+00:00,2.2.2,19.0,A library of sklearn compatible categorical variable encoders.,23.0,,34.0,25,https://pypi.org/project/category_encoders,2018-10-14 14:15:54+00:00,23.0,403012.0,403012.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n301,swifter,jmcarpenter2/swifter,swifter,,,data-containers,['pandas'],https://github.com/jmcarpenter2/swifter,https://github.com/jmcarpenter2/swifter,MIT,2018-04-07 21:37:19+00:00,2020-10-11 22:49:24+00:00,2020-10-11 22:48:00+00:00,69.0,13.0,76.0,1474.0,422.0,2020-10-11 22:42:57+00:00,1.0.7,71.0,A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner.,280.0,264.0,14.0,25,https://pypi.org/project/swifter,2020-10-11 22:42:57+00:00,16.0,49780.0,49780.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n302,streamparse,Parsely/streamparse,streamparse,,,data-pipelines,,https://github.com/Parsely/streamparse,https://github.com/Parsely/streamparse,Apache-2.0,2014-05-02 20:33:50+00:00,2020-10-07 19:53:33+00:00,2020-10-07 19:37:17+00:00,219.0,69.0,263.0,1420.0,1058.0,2020-10-07 19:53:15+00:00,4.0.0,47.0,\"Run Python in Apache Storm topologies. Pythonic API, CLI tooling, and a topology DSL.\",72.0,46.0,40.0,25,https://pypi.org/project/streamparse,2020-10-07 19:45:19+00:00,26.0,1959.0,1959.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n303,jellyfish,jamesturk/jellyfish,jellyfish,,,nlp,,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,BSD-2-Clause,2010-07-09 20:41:11+00:00,2020-12-08 01:19:02+00:00,2020-12-08 01:18:57+00:00,119.0,9.0,86.0,1374.0,,2020-05-21 20:37:01+00:00,0.8.2,27.0,a python library for doing approximate and phonetic matching of strings.,2550.0,1904.0,19.0,25,https://pypi.org/project/jellyfish,2020-05-21 20:37:01+00:00,646.0,832666.0,832666.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n304,Ax,facebook/Ax,ax-platform,,,hyperopt,['pytorch'],https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44+00:00,2020-12-16 06:08:10+00:00,2020-12-15 20:46:48+00:00,137.0,32.0,171.0,1347.0,879.0,2020-12-08 19:07:48+00:00,0.1.19,20.0,Adaptive Experimentation Platform.,116.0,112.0,88.0,25,https://pypi.org/project/ax-platform,2020-12-08 19:07:48+00:00,4.0,19398.0,19398.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n305,AWS Data Wrangler,awslabs/aws-data-wrangler,awswrangler,,,db-clients,['pandas'],https://github.com/awslabs/aws-data-wrangler,https://github.com/awslabs/aws-data-wrangler,Apache-2.0,2019-02-26 01:39:02+00:00,2020-12-15 17:54:08+00:00,2020-12-12 23:37:50+00:00,208.0,32.0,239.0,1276.0,1161.0,2020-12-11 10:58:40+00:00,2.0.1,102.0,Pandas on AWS.,,,51.0,25,https://pypi.org/project/awswrangler,2020-12-11 10:44:36+00:00,,385416.0,386496.0,,,,True,3,18362.0,,,,,,,,,,,,,,,,,,,,,,\n306,ViZDoom,mwydmuch/ViZDoom,vizdoom,,,reinforcement-learning,,https://github.com/mwydmuch/ViZDoom,https://github.com/mwydmuch/ViZDoom,MIT,2015-06-26 18:38:23+00:00,2020-12-16 10:27:24+00:00,2020-12-16 10:26:56+00:00,276.0,89.0,323.0,1139.0,1459.0,2020-10-29 15:54:47+00:00,1.1.8,19.0,Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information.,106.0,94.0,43.0,25,https://pypi.org/project/vizdoom,2020-10-29 15:56:20+00:00,12.0,522.0,700.0,,,,True,2,10181.0,,,,,,,,,,,,,,,,,,,,,,\n307,ArcGIS API,Esri/arcgis-python-api,arcgis,,,geospatial-data,,https://github.com/Esri/arcgis-python-api,https://github.com/Esri/arcgis-python-api,Apache-2.0,2016-03-16 01:09:14+00:00,2020-12-16 12:42:52+00:00,2020-12-15 00:26:58+00:00,676.0,125.0,185.0,913.0,2855.0,2020-12-15 21:49:37+00:00,1.8.3,25.0,Documentation and samples for ArcGIS API for Python.,10.0,,60.0,25,https://pypi.org/project/arcgis,2020-11-30 16:13:47+00:00,10.0,12438.0,12500.0,,,,True,3,,,,esridocker/arcgis-api-python-notebook,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,2020-03-06 00:53:45.164342+00:00,28.0,3583.0,,,,,,,,,,,,,,,\n308,kmodes,nicodv/kmodes,kmodes,,,others,,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40+00:00,2020-11-04 05:52:59+00:00,2020-11-04 05:52:58+00:00,335.0,19.0,106.0,783.0,448.0,2020-02-25 21:38:29+00:00,0.10.2,12.0,\"Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data.\",388.0,375.0,16.0,25,https://pypi.org/project/kmodes,2020-02-25 21:30:28+00:00,13.0,63895.0,63895.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n309,CLTK,cltk/cltk,cltk,,,nlp,,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47+00:00,2020-12-11 22:29:54+00:00,2020-12-11 22:29:52+00:00,295.0,126.0,357.0,624.0,2771.0,2020-06-22 06:03:33+00:00,0.1.121,159.0,The Classical Language Toolkit.,212.0,144.0,107.0,25,https://pypi.org/project/cltk,2020-12-03 17:29:28+00:00,68.0,1220.0,1220.0,,,,True,2,21.0,,,,,,,,,,,,,,,,,,,,,,\n310,HappyBase,python-happybase/happybase,happybase,conda-forge/happybase,,db-clients,,https://github.com/python-happybase/happybase,https://github.com/python-happybase/happybase,MIT,2012-05-20 20:06:10+00:00,2020-04-09 10:46:31+00:00,2020-04-09 10:46:29+00:00,151.0,27.0,179.0,552.0,283.0,2017-04-03 21:13:18+00:00,1.1.0,11.0,A developer-friendly Python library to interact with Apache HBase.,868.0,446.0,19.0,25,https://pypi.org/project/happybase,2017-04-03 21:13:18+00:00,422.0,60876.0,60876.0,https://anaconda.org/conda-forge/happybase,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n311,TensorFlow I/O,tensorflow/io,tensorflow-io,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05+00:00,2020-12-16 11:53:11+00:00,2020-12-15 02:24:35+00:00,141.0,112.0,258.0,387.0,1308.0,2020-12-15 00:45:37+00:00,0.17.0,21.0,\"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.\",82.0,82.0,69.0,25,https://pypi.org/project/tensorflow-io,2020-12-15 00:42:35+00:00,0.0,31177.0,31177.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n312,hvPlot,holoviz/hvplot,hvplot,,,data-viz,,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41+00:00,2020-12-15 10:41:07+00:00,2020-11-18 20:38:19+00:00,49.0,95.0,214.0,333.0,360.0,2020-06-02 01:53:24+00:00,0.6.0,9.0,\"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.\",408.0,393.0,22.0,25,https://pypi.org/project/hvplot,2020-06-02 00:27:18+00:00,15.0,72993.0,72993.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n313,Altair,ellisonbg/altair,altair,,,data-viz,,https://github.com/ellisonbg/altair,https://github.com/ellisonbg/altair,BSD-3-Clause,2016-09-26 16:59:17+00:00,2020-04-01 13:23:10+00:00,2018-05-18 19:10:50+00:00,19.0,,,243.0,1802.0,2020-04-01 13:23:10+00:00,4.1.0,26.0,Declarative statistical visualization library for Python.,370.0,,50.0,25,https://pypi.org/project/altair,2020-04-01 13:23:10+00:00,370.0,638738.0,638738.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n314,ParlAI,facebookresearch/ParlAI,parlai,,,nlp,['pytorch'],https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44+00:00,2020-12-16 03:46:56+00:00,2020-12-16 01:33:37+00:00,1373.0,111.0,792.0,6822.0,3544.0,2020-10-16 18:05:43+00:00,0.9.4,11.0,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,4.0,4.0,134.0,24,https://pypi.org/project/parlai,2020-10-16 18:04:08+00:00,,659.0,659.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n315,Facets Overview,pair-code/facets,facets-overview,,,data-viz,['jupyter'],https://github.com/PAIR-code/facets,https://github.com/PAIR-code/facets,Apache-2.0,2017-07-07 14:03:03+00:00,2020-10-27 19:51:23+00:00,2020-10-27 19:51:22+00:00,785.0,70.0,75.0,6420.0,259.0,2019-07-24 15:33:29+00:00,0.9.1,4.0,Visualizations for machine learning datasets.,34.0,34.0,27.0,24,https://pypi.org/project/facets-overview,2019-07-24 15:33:29+00:00,,18290.0,18290.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n316,PyText,facebookresearch/pytext,pytext-nlp,,,nlp,['pytorch'],https://github.com/facebookresearch/pytext,https://github.com/facebookresearch/pytext,BSD-3-Clause,2018-07-31 23:40:46+00:00,2020-12-16 12:07:57+00:00,2020-12-16 12:07:49+00:00,755.0,115.0,74.0,6093.0,1330.0,2020-06-08 23:30:58+00:00,0.3.3,12.0,A natural language modeling framework based on PyTorch.,53.0,52.0,144.0,24,https://pypi.org/project/pytext-nlp,2020-04-27 08:09:25+00:00,1.0,346.0,354.0,,,,True,3,206.0,,,,,,,,,,,,,,,,,,,,,,\n317,stanza,stanfordnlp/stanza,stanza,stanfordnlp/stanza,,nlp,,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56+00:00,2020-12-16 02:32:54+00:00,2020-08-13 23:07:54+00:00,618.0,68.0,350.0,4929.0,1514.0,2020-08-13 06:26:20+00:00,1.1.1,9.0,Official Stanford NLP Python Library for Many Human Languages.,2.0,,28.0,24,https://pypi.org/project/stanza,2020-08-13 06:08:07+00:00,2.0,16049.0,16049.0,https://anaconda.org/stanfordnlp/stanza,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n318,PyTorch3D,facebookresearch/pytorch3d,pytorch3d,pytorch3d/pytorch3d,,image,['pytorch'],https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,MIT,2019-10-25 02:23:45+00:00,2020-12-16 09:24:57+00:00,2020-12-15 22:15:32+00:00,454.0,56.0,375.0,4106.0,325.0,2020-11-12 10:28:29+00:00,0.3.0,5.0,PyTorch3D is FAIR's library of reusable components for deep learning with 3D data.,35.0,35.0,49.0,24,https://pypi.org/project/pytorch3d,2020-11-12 10:28:29+00:00,,5100.0,5100.0,https://anaconda.org/pytorch3d/pytorch3d,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n319,Lucid,tensorflow/lucid,lucid,,,interpretability,['tensorflow'],https://github.com/tensorflow/lucid,https://github.com/tensorflow/lucid,Apache-2.0,2018-01-25 17:41:44+00:00,2020-12-14 12:53:11+00:00,2020-11-24 20:56:27+00:00,544.0,67.0,93.0,3997.0,632.0,2019-01-17 19:46:43+00:00,0.3.9-alpha,16.0,A collection of infrastructure and tools for research in neural network interpretability.,355.0,349.0,34.0,24,https://pypi.org/project/lucid,2018-12-20 00:26:11+00:00,6.0,590.0,590.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n320,TensorFlowOnSpark,yahoo/TensorFlowOnSpark,tensorflowonspark,,,distributed-ml,\"['tensorflow', 'spark']\",https://github.com/yahoo/TensorFlowOnSpark,https://github.com/yahoo/TensorFlowOnSpark,Apache-2.0,2017-01-20 18:15:57+00:00,2020-07-27 20:01:38+00:00,2020-07-27 19:59:42+00:00,897.0,5.0,336.0,3599.0,582.0,2020-03-16 18:59:39+00:00,2.2.1,28.0,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,43.0,38.0,33.0,24,https://pypi.org/project/tensorflowonspark,2020-03-16 18:26:55+00:00,5.0,28647.0,28647.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n321,line_profiler,rkern/line_profiler,line_profiler,,,system-monitoring,,https://github.com/rkern/line_profiler,https://github.com/rkern/line_profiler,BSD-3-Clause,2014-08-31 11:45:05+00:00,2019-12-11 01:23:33+00:00,2019-04-23 20:54:43+00:00,245.0,71.0,87.0,3492.0,102.0,2017-12-20 02:30:37+00:00,2.1.2,8.0,(OLD REPO) Line-by-line profiling for Python - Current repo -.,692.0,,14.0,24,https://pypi.org/project/line_profiler,2017-12-20 02:30:37+00:00,692.0,231110.0,231110.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n322,T5,google-research/text-to-text-transfer-transformer,t5,,,nlp,['tensorflow'],https://github.com/google-research/text-to-text-transfer-transformer,https://github.com/google-research/text-to-text-transfer-transformer,Apache-2.0,2019-10-17 21:45:14+00:00,2020-12-16 05:22:48+00:00,2020-12-16 03:08:35+00:00,396.0,32.0,264.0,3044.0,357.0,2020-10-26 14:53:41+00:00,0.7.1,23.0,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,18.0,18.0,28.0,24,https://pypi.org/project/t5,2020-10-26 14:53:41+00:00,,4869.0,4869.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n323,Camelot,atlanhq/camelot,camelot-py,,,data-loading,,https://github.com/atlanhq/camelot,https://github.com/atlanhq/camelot,MIT,2016-06-18 11:48:49+00:00,2020-07-27 12:28:15+00:00,2019-10-15 05:25:40+00:00,298.0,61.0,273.0,2950.0,446.0,2020-07-27 12:28:15+00:00,0.8.2,21.0,Camelot: PDF Table Extraction for Humans.,10.0,,23.0,24,https://pypi.org/project/camelot-py,2020-07-27 12:28:15+00:00,10.0,25330.0,25330.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n324,TensorForce,tensorforce/tensorforce,tensorforce,,,reinforcement-learning,['tensorflow'],https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22+00:00,2020-12-06 18:31:38+00:00,2020-12-06 18:31:30+00:00,472.0,10.0,535.0,2816.0,2008.0,2020-10-03 16:00:39+00:00,0.6.2,12.0,Tensorforce: a TensorFlow library for applied reinforcement learning.,23.0,,76.0,24,https://pypi.org/project/tensorforce,2019-09-07 13:56:18+00:00,23.0,929.0,929.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n325,pytorch-summary,sksq96/pytorch-summary,torchsummary,,,pytorch-utils,['pytorch'],https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04+00:00,2020-09-11 22:33:42+00:00,2020-08-07 01:16:40+00:00,334.0,100.0,36.0,2807.0,56.0,2018-09-26 05:07:28+00:00,1.5.1,12.0,Model summary in PyTorch similar to `model.summary()` in Keras.,1741.0,1623.0,11.0,24,https://pypi.org/project/torchsummary,2018-09-26 05:07:28+00:00,118.0,28677.0,28677.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n326,xLearn,aksnzhy/xlearn,xlearn,,,ml-frameworks,,https://github.com/aksnzhy/xlearn,https://github.com/aksnzhy/xlearn,Apache-2.0,2017-06-10 08:09:31+00:00,2020-07-06 19:54:25+00:00,2020-03-03 10:12:35+00:00,479.0,174.0,107.0,2804.0,1340.0,2019-04-25 02:10:05+00:00,0.4.4,15.0,\"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..\",39.0,38.0,30.0,24,https://pypi.org/project/xlearn,2018-12-04 11:05:06+00:00,1.0,10024.0,10089.0,,,,True,3,2168.0,,,,,,,,,,,,,,,,,,,,,,\n327,DeepChem,deepchem/deepchem,deepchem,,,others,['tensorflow'],https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28+00:00,2020-12-16 08:43:08+00:00,2020-12-15 16:12:58+00:00,873.0,321.0,835.0,2588.0,5935.0,2019-10-11 01:49:20+00:00,2.3.0,184.0,\"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.\",36.0,32.0,143.0,24,https://pypi.org/project/deepchem,2020-11-19 05:39:10+00:00,4.0,1995.0,1995.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n328,DoWhy,Microsoft/dowhy,dowhy,conda-forge/dowhy,,interpretability,,https://github.com/microsoft/dowhy,https://github.com/microsoft/dowhy,MIT,2018-05-31 13:07:04+00:00,2020-12-13 08:20:31+00:00,2020-12-13 08:20:30+00:00,353.0,13.0,76.0,2528.0,404.0,2020-12-12 15:26:03+00:00,0.5.1,5.0,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,19.0,19.0,37.0,24,https://pypi.org/project/dowhy,2020-12-12 15:26:03+00:00,,7509.0,7510.0,https://anaconda.org/conda-forge/dowhy,,,True,2,17.0,,,,,,,,,,,,,,,,,,,,,,\n329,Arctic,man-group/arctic,arctic,,,data-containers,,https://github.com/man-group/arctic,https://github.com/man-group/arctic,LGPL-2.1,2015-05-29 13:37:30+00:00,2020-12-02 16:19:11+00:00,2020-12-02 16:19:07+00:00,428.0,84.0,420.0,2111.0,1065.0,2020-12-01 23:17:26+00:00,1.79.4,83.0,Arctic is a high performance datastore for numeric data.,143.0,101.0,69.0,24,https://pypi.org/project/arctic,2020-12-01 23:16:12+00:00,42.0,2784.0,2785.0,,,,False,3,83.0,,,,,,,,,,,,,,,,,,,,,,\n330,TextDistance,life4/textdistance,textdistance,,,nlp,,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10+00:00,2020-04-13 10:34:33+00:00,2020-04-13 10:34:26+00:00,155.0,9.0,,1836.0,289.0,2020-04-13 10:17:59+00:00,.4.2.0,20.0,\"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..\",292.0,264.0,7.0,24,https://pypi.org/project/textdistance,2020-04-13 09:59:27+00:00,28.0,103355.0,103357.0,,,,True,3,96.0,,,,,,,,,,,,,,,,,,,,,,\n331,mongo-connector,yougov/mongo-connector,mongo-connector,,,db-clients,,https://github.com/yougov/mongo-connector,https://github.com/yougov/mongo-connector,Apache-2.0,2012-08-09 23:39:36+00:00,2020-08-03 08:07:40+00:00,2018-12-05 18:23:06+00:00,454.0,226.0,504.0,1752.0,1112.0,2018-12-05 19:18:21+00:00,3.1.1,51.0,MongoDB data stream pipeline tools by YouGov (adopted from MongoDB).,119.0,90.0,62.0,24,https://pypi.org/project/mongo-connector,2018-12-05 19:18:21+00:00,29.0,2804.0,2804.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n332,StellarGraph,stellargraph/stellargraph,stellargraph,,,graph,['keras'],https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51+00:00,2020-09-28 06:38:11+00:00,2020-07-21 04:03:09+00:00,245.0,211.0,693.0,1677.0,2515.0,2020-06-30 05:15:21+00:00,1.2.1,25.0,StellarGraph - Machine Learning on Graphs.,40.0,38.0,28.0,24,https://pypi.org/project/stellargraph,2020-06-25 09:38:56+00:00,2.0,9617.0,9617.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n333,Alphalens,quantopian/alphalens,alphalens,,,financial-data,,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15+00:00,2020-09-05 16:48:14+00:00,2020-04-27 18:40:41+00:00,598.0,38.0,144.0,1649.0,522.0,2020-04-30 15:42:52+00:00,0.4.0,10.0,Performance analysis of predictive (alpha) stock factors.,350.0,336.0,25.0,24,https://pypi.org/project/alphalens,2020-04-27 21:03:10+00:00,14.0,1481.0,1481.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n334,HyperTools,ContextLab/hypertools,hypertools,,,data-viz,,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25+00:00,2020-10-29 02:47:18+00:00,2020-10-02 21:09:56+00:00,151.0,69.0,120.0,1601.0,1565.0,2020-10-02 21:38:16+00:00,0.6.3,19.0,A Python toolbox for gaining geometric insights into high-dimensional data.,99.0,90.0,20.0,24,https://pypi.org/project/hypertools,2020-10-02 21:41:53+00:00,9.0,770.0,770.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n335,Pythran,serge-sans-paille/pythran,pythran,conda-forge/pythran,,others,,https://github.com/serge-sans-paille/pythran,https://github.com/serge-sans-paille/pythran,BSD-3-Clause,2012-05-29 08:02:14+00:00,2020-12-15 13:53:57+00:00,2020-12-15 13:53:37+00:00,134.0,99.0,534.0,1484.0,3295.0,2020-12-09 20:06:55+00:00,0.9.8,44.0,Ahead of Time compiler for numeric kernels.,59.0,46.0,47.0,24,https://pypi.org/project/pythran,2020-12-11 23:02:35+00:00,13.0,1025.0,1025.0,https://anaconda.org/conda-forge/pythran,,,True,2,,,,,,,,,,,,,,,,,,,,,,pythran,python-pythran\n336,TorchServe,pytorch/serve,torchserve,torchserve,,model-serialisation,['pytorch'],https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43+00:00,2020-12-16 12:59:06+00:00,2020-12-15 20:05:24+00:00,208.0,134.0,368.0,1441.0,1022.0,2020-12-14 18:34:28+00:00,0.2.2,5.0,Model Serving on PyTorch.,22.0,22.0,61.0,24,https://pypi.org/project/torchserve,2020-12-14 18:34:28+00:00,,1638.0,2660.0,https://anaconda.org/anaconda/torchserve,,,True,2,132.0,,,pytorch/torchserve,https://hub.docker.com/r/pytorch/torchserve,2020-08-11 21:27:29.340543+00:00,3.0,14096.0,,,,,,,,,,,,,,,\n337,Elephas,maxpumperla/elephas,elephas,,,distributed-ml,\"['keras', 'spark']\",https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19+00:00,2020-10-02 08:09:20+00:00,2020-10-02 08:09:15+00:00,279.0,51.0,80.0,1432.0,336.0,2019-03-20 17:02:37+00:00,0.4.3,9.0,Distributed Deep learning with Keras & Spark.,36.0,33.0,25.0,24,https://pypi.org/project/elephas,2020-02-10 13:38:21+00:00,3.0,11608.0,11608.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n338,PyTextRank,DerwenAI/pytextrank,pytextrank,,,nlp,,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12+00:00,2020-11-18 14:09:32+00:00,2020-09-21 19:22:46+00:00,280.0,15.0,37.0,1368.0,147.0,2020-09-15 16:51:59+00:00,2.0.3,10.0,Python implementation of TextRank for phrase extraction and summarization of text documents.,123.0,117.0,10.0,24,https://pypi.org/project/pytextrank,2020-09-15 16:51:59+00:00,6.0,11697.0,11697.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n339,GPflow,GPflow/GPflow,gpflow,,,probabilistics,['tensorflow'],https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24+00:00,2020-12-16 12:07:03+00:00,2020-12-01 11:59:33+00:00,389.0,86.0,599.0,1350.0,2203.0,2020-12-01 12:59:03+00:00,2.1.4,28.0,Gaussian processes in TensorFlow.,222.0,205.0,68.0,24,https://pypi.org/project/gpflow,2020-12-01 13:12:15+00:00,17.0,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n340,Fairness 360,Trusted-AI/AIF360,aif360,,,interpretability,,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15+00:00,2020-11-23 20:50:06+00:00,2020-10-28 02:10:25+00:00,376.0,35.0,46.0,1161.0,288.0,2020-06-02 22:59:53+00:00,0.3.0,8.0,\"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..\",62.0,60.0,40.0,24,https://pypi.org/project/aif360,2020-06-02 22:49:24+00:00,2.0,3858.0,3858.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n341,IB-insync,erdewit/ib_insync,ib_insync,,,financial-data,,https://github.com/erdewit/ib_insync,https://github.com/erdewit/ib_insync,BSD-2-Clause,2017-07-12 12:09:24+00:00,2020-12-13 10:15:17+00:00,2020-12-13 10:15:02+00:00,369.0,3.0,273.0,1138.0,544.0,2020-11-03 13:37:57+00:00,0.9.64,89.0,Python sync/async framework for Interactive Brokers API.,12.0,,25.0,24,https://pypi.org/project/ib_insync,2020-11-03 13:37:57+00:00,12.0,3184.0,3184.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n342,TextAttack,QData/TextAttack,textattack,,,adversarial,,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44+00:00,2020-12-16 00:54:39+00:00,2020-12-16 00:54:35+00:00,116.0,24.0,65.0,1130.0,1863.0,2020-11-18 15:41:35+00:00,0.2.14,34.0,\"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP.\",11.0,11.0,29.0,24,https://pypi.org/project/textattack,2020-11-18 02:29:52+00:00,,1417.0,1417.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n343,Optimus,ironmussa/Optimus,optimuspyspark,,,data-pipelines,['spark'],https://github.com/ironmussa/Optimus,https://github.com/ironmussa/Optimus,Apache-2.0,2017-07-13 02:31:18+00:00,2020-12-16 08:25:58+00:00,2020-11-19 14:04:43+00:00,188.0,139.0,165.0,962.0,3520.0,2020-07-19 03:05:40+00:00,2.2.32,85.0,\"Agile Data Preparation Workflows madeeasy with dask, cudf, dask_cudf and pyspark.\",11.0,11.0,21.0,24,https://pypi.org/project/optimuspyspark,2019-05-30 02:22:54+00:00,,6149.0,6149.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n344,Streamz,python-streamz/streamz,streamz,,,time-series-data,,https://github.com/python-streamz/streamz,https://github.com/python-streamz/streamz,BSD-3-Clause,2017-04-04 21:45:49+00:00,2020-12-10 21:50:53+00:00,2020-12-10 21:02:45+00:00,110.0,89.0,125.0,891.0,723.0,2020-11-02 14:53:29+00:00,0.6.1,14.0,Real-time stream processing for python.,192.0,176.0,38.0,24,https://pypi.org/project/streamz,2020-11-02 14:53:29+00:00,16.0,3750.0,3750.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n345,PySAL,pysal/pysal,pysal,,,geospatial-data,,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42+00:00,2020-08-01 00:57:58+00:00,2020-08-01 00:57:56+00:00,241.0,58.0,568.0,800.0,4067.0,2020-07-30 03:12:31+00:00,2.3.0,24.0,PySAL: Python Spatial Analysis Library Meta-Package.,18.0,,69.0,24,https://pypi.org/project/pysal,2020-07-30 03:12:31+00:00,18.0,10172.0,10172.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n346,SciSpacy,allenai/scispacy,scispacy,,,nlp,,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52+00:00,2020-11-23 14:08:16+00:00,2020-11-10 19:32:41+00:00,115.0,17.0,121.0,757.0,786.0,2020-10-16 17:13:40+00:00,0.3.0,9.0,A full spaCy pipeline and models for scientific/biomedical documents.,195.0,183.0,14.0,24,https://pypi.org/project/scispacy,2020-10-16 17:13:40+00:00,12.0,11946.0,11946.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n347,ffn,pmorissette/ffn,ffn,,,financial-data,,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09+00:00,2020-12-16 00:40:34+00:00,2020-12-16 00:40:33+00:00,168.0,17.0,55.0,717.0,286.0,2018-05-28 14:01:56+00:00,0.3.4,25.0,ffn - a financial function library for Python.,110.0,94.0,22.0,24,https://pypi.org/project/ffn,2018-05-28 14:01:56+00:00,16.0,10994.0,10994.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n348,GPyOpt,SheffieldML/GPyOpt,gpyopt,,,hyperopt,,https://github.com/SheffieldML/GPyOpt,https://github.com/SheffieldML/GPyOpt,BSD-3-Clause,2014-08-13 09:58:25+00:00,2020-11-17 10:32:02+00:00,2020-11-05 15:16:04+00:00,213.0,100.0,186.0,697.0,514.0,2020-03-19 21:21:18+00:00,1.2.6,11.0,Gaussian Process Optimization using GPy.,196.0,160.0,49.0,24,https://pypi.org/project/gpyopt,2020-03-19 11:37:45+00:00,36.0,5648.0,5648.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n349,Hail,hail-is/hail,hail,,,medical-data,['spark'],https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42+00:00,2020-12-16 04:32:55+00:00,2020-12-15 21:14:51+00:00,178.0,323.0,1933.0,687.0,7617.0,2020-12-03 19:29:37+00:00,0.2.61,81.0,Scalable genomic data analysis.,26.0,26.0,67.0,24,https://pypi.org/project/hail,2020-12-03 19:29:37+00:00,,1555.0,1555.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n350,pythreejs,jupyter-widgets/pythreejs,pythreejs,,,data-viz,['jupyter'],https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,BSD-3-Clause,2013-12-23 17:02:11+00:00,2020-12-08 14:18:43+00:00,2020-10-09 09:41:09+00:00,156.0,56.0,136.0,686.0,1594.0,2020-03-19 11:32:37+00:00,2.2.1,42.0,A Jupyter - Three.js bridge.,36.0,15.0,24.0,24,https://pypi.org/project/pythreejs,2020-10-09 09:40:47+00:00,13.0,7998.0,13146.0,,,,True,3,,,,,,,,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,2020-03-19 11:22:13.041000+00:00,8.0,5148.0,,,,,,,,,,\n351,ktrain,amaiya/ktrain,ktrain,,,ml-frameworks,['keras'],https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39+00:00,2020-12-14 17:30:56+00:00,2020-12-08 19:31:01+00:00,167.0,8.0,270.0,684.0,2113.0,2020-12-05 17:45:32+00:00,0.25.2,145.0,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,107.0,106.0,12.0,24,https://pypi.org/project/ktrain,2020-12-05 17:43:35+00:00,1.0,8026.0,8026.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n352,PennyLane,PennyLaneAI/PennyLane,pennylane,,,others,,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42+00:00,2020-12-15 22:47:18+00:00,2020-12-15 21:54:17+00:00,194.0,50.0,214.0,665.0,1725.0,2020-12-08 23:55:57+00:00,0.13.0-post1,17.0,PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum..,20.0,,36.0,24,https://pypi.org/project/pennylane,2020-11-27 18:07:34+00:00,20.0,2445.0,2447.0,,,,True,2,52.0,,,,,,,,,,,,,,,,,,,,,,\n353,arch,bashtage/arch,arch,,,financial-data,,https://github.com/bashtage/arch,https://github.com/bashtage/arch,NCSA,2014-08-29 15:41:28+00:00,2020-12-16 12:46:59+00:00,2020-12-15 23:37:40+00:00,149.0,14.0,120.0,617.0,723.0,2020-06-24 19:19:12+00:00,4.15,26.0,ARCH models in Python.,242.0,221.0,25.0,24,https://pypi.org/project/arch,2020-06-24 19:20:21+00:00,21.0,78749.0,78749.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,\n354,pyjanitor,ericmjl/pyjanitor,pyjanitor,,,others,,https://github.com/ericmjl/pyjanitor,https://github.com/ericmjl/pyjanitor,MIT,2018-03-04 22:43:33+00:00,2020-12-13 01:54:59+00:00,2020-12-12 17:04:05+00:00,119.0,89.0,277.0,601.0,1162.0,2020-10-03 12:24:35+00:00,0.20.10,46.0,Clean APIs for data cleaning. Python implementation of R package Janitor.,72.0,70.0,87.0,24,https://pypi.org/project/pyjanitor,2020-10-03 12:24:35+00:00,2.0,1704.0,1704.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n355,neo4j-driver,neo4j/neo4j-python-driver,neo4j-driver,,,db-clients,,https://github.com/neo4j/neo4j-python-driver,https://github.com/neo4j/neo4j-python-driver,Apache-2.0,2015-05-05 13:08:20+00:00,2020-12-16 12:21:01+00:00,2020-12-10 08:19:46+00:00,131.0,1.0,167.0,583.0,,2020-11-17 09:58:48+00:00,4.2.0,79.0,Neo4j Bolt driver for Python.,382.0,,26.0,24,https://pypi.org/project/neo4j-driver,2020-11-17 09:58:48+00:00,382.0,63776.0,63776.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n356,Intake,intake/intake,intake,,,data-loading,,https://github.com/intake/intake,https://github.com/intake/intake,BSD-2-Clause,2017-08-14 20:44:22+00:00,2020-12-09 15:10:55+00:00,2020-12-09 15:10:54+00:00,89.0,65.0,188.0,503.0,1604.0,2020-06-03 19:03:40+00:00,0.6.0,19.0,\"Intake is a lightweight package for finding, investigating, loading and disseminating data.\",282.0,208.0,50.0,24,https://pypi.org/project/intake,2020-06-03 19:03:40+00:00,74.0,3109.0,3109.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n357,detectron2,facebookresearch/detectron2,,,,image,['pytorch'],https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20+00:00,2020-12-16 09:34:02+00:00,2020-12-15 00:26:57+00:00,3451.0,84.0,2010.0,14060.0,875.0,2020-11-06 03:20:56+00:00,0.3,7.0,Detectron2 is FAIR's next-generation platform for object detection and segmentation.,133.0,133.0,138.0,23,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n358,Ciphey,Ciphey/Ciphey,ciphey,,,nlp,,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39+00:00,2020-12-15 08:11:20+00:00,2020-12-07 03:11:45+00:00,327.0,45.0,168.0,5858.0,1712.0,2020-12-02 12:36:44+00:00,5.11.0,43.0,\"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.\",,,38.0,23,https://pypi.org/project/ciphey,2020-12-02 12:36:44+00:00,,2845.0,3250.0,,,,True,3,,,,remnux/ciphey,https://hub.docker.com/r/remnux/ciphey,2020-12-09 16:12:35.894652+00:00,1.0,6899.0,,,,,,,,,,,,,,,\n359,mmdnn,Microsoft/MMdnn,mmdnn,,,model-serialisation,,https://github.com/microsoft/MMdnn,https://github.com/microsoft/MMdnn,MIT,2017-08-16 08:03:52+00:00,2020-10-22 09:57:53+00:00,2020-08-14 02:32:30+00:00,919.0,307.0,282.0,5118.0,1083.0,2020-07-24 06:34:39+00:00,0.3.1,12.0,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,49.0,46.0,85.0,23,https://pypi.org/project/mmdnn,2020-07-24 06:34:39+00:00,3.0,,87.0,,,,True,2,3251.0,,,,,,,,,,,,,,,,,,,,,,\n360,flashtext,vi3k6i5/flashtext,flashtext,,,nlp,,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01+00:00,2020-06-05 00:37:46+00:00,2020-05-03 07:13:22+00:00,521.0,48.0,48.0,4581.0,108.0,,,18.0,Extract Keywords from sentence or Replace keywords in sentences.,348.0,316.0,8.0,23,https://pypi.org/project/flashtext,2018-02-16 05:24:17+00:00,32.0,246467.0,246467.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n361,DeepSpeed,microsoft/DeepSpeed,deepspeed,,,distributed-ml,['pytorch'],https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,MIT,2020-01-23 18:35:18+00:00,2020-12-16 02:43:41+00:00,2020-12-15 23:29:21+00:00,342.0,79.0,137.0,3828.0,373.0,2020-11-25 23:20:56+00:00,0.3.8,16.0,\"DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.\",4.0,4.0,34.0,23,https://pypi.org/project/deepspeed,2020-12-09 17:12:01+00:00,,1273.0,1859.0,,,,True,3,,,,deepspeed/deepspeed,https://hub.docker.com/r/deepspeed/deepspeed,2020-11-20 00:17:12.819964+00:00,2.0,6449.0,,,,,,,,,,,,,,,\n362,InterpretML,interpretml/interpret,interpret,,,interpretability,['jupyter'],https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52+00:00,2020-12-16 07:28:08+00:00,2020-12-16 07:20:20+00:00,409.0,50.0,107.0,3329.0,1403.0,2020-10-20 01:41:37+00:00,0.2.2,32.0,Fit interpretable models. Explain blackbox machine learning.,60.0,58.0,21.0,23,https://pypi.org/project/interpret,2020-10-20 01:35:45+00:00,2.0,,,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n363,torchdiffeq,rtqichen/torchdiffeq,torchdiffeq,,,pytorch-utils,['pytorch'],https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25+00:00,2020-12-10 14:53:29+00:00,2020-10-30 23:58:55+00:00,550.0,20.0,94.0,3266.0,132.0,2020-09-16 23:32:05+00:00,0.1.1,3.0,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,52.0,52.0,19.0,23,https://pypi.org/project/torchdiffeq,2020-09-16 23:32:05+00:00,,2086.0,2086.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n364,VisualDL,PaddlePaddle/VisualDL,visualdl,,,ml-experiments,['paddle'],https://github.com/PaddlePaddle/VisualDL,https://github.com/PaddlePaddle/VisualDL,Apache-2.0,2017-12-20 12:34:31+00:00,2020-12-16 09:57:01+00:00,2020-12-14 09:54:31+00:00,424.0,19.0,306.0,3022.0,,2020-11-26 10:19:27+00:00,2.0.5,29.0,Deep Learning Visualization Toolkit.,119.0,114.0,24.0,23,https://pypi.org/project/visualdl,2020-11-26 10:16:06+00:00,5.0,3561.0,3569.0,,,,True,3,52.0,,,,,,,,,,,,,,,,,,,,,,\n365,keras-vis,raghakot/keras-vis,keras-vis,,,interpretability,,https://github.com/raghakot/keras-vis,https://github.com/raghakot/keras-vis,MIT,2016-11-11 23:27:34+00:00,2020-04-20 01:03:13+00:00,2020-04-20 01:03:12+00:00,560.0,110.0,99.0,2759.0,195.0,2017-07-06 04:55:04+00:00,0.4.1,11.0,Neural network visualization toolkit for keras.,627.0,599.0,10.0,23,https://pypi.org/project/keras-vis,2017-07-06 04:55:04+00:00,28.0,2733.0,2733.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n366,gallery-dl,mikf/gallery-dl,gallery-dl,,,web-scraping,,https://github.com/mikf/gallery-dl,https://github.com/mikf/gallery-dl,GPL-2.0,2014-10-12 19:38:05+00:00,2020-12-12 22:08:43+00:00,2020-12-12 22:08:25+00:00,215.0,205.0,883.0,2667.0,2752.0,2020-12-12 22:24:39+00:00,1.16.0,87.0,Command-line program to download image galleries and collections from several image hosting sites.,4.0,,27.0,23,https://pypi.org/project/gallery-dl,2020-11-27 17:38:00+00:00,4.0,4912.0,6147.0,,,,False,3,75342.0,,,,,,,,,,,,,,,,,,,,,,\n367,PML,KevinMusgrave/pytorch-metric-learning,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,pytorch-utils,['pytorch'],https://github.com/KevinMusgrave/pytorch-metric-learning,https://github.com/KevinMusgrave/pytorch-metric-learning,MIT,2019-10-23 17:20:35+00:00,2020-12-14 17:11:02+00:00,2020-12-11 18:33:07+00:00,342.0,30.0,164.0,2503.0,526.0,2020-12-11 05:13:08+00:00,0.9.95,135.0,\"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.\",39.0,39.0,11.0,23,https://pypi.org/project/pytorch-metric-learning,2019-12-27 11:28:11+00:00,0.0,4716.0,4716.0,https://anaconda.org/metric-learning/pytorch-metric-learning,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n368,WikiExtractor,attardi/wikiextractor,wikiextractor,,,web-scraping,,https://github.com/attardi/wikiextractor,https://github.com/attardi/wikiextractor,AGPL-3.0,2015-03-22 12:03:01+00:00,2020-12-15 11:34:27+00:00,2020-12-05 19:37:12+00:00,719.0,81.0,101.0,2471.0,214.0,2020-12-05 19:18:56+00:00,3.0.4,3.0,A tool for extracting plain text from Wikipedia dumps.,38.0,34.0,29.0,23,https://pypi.org/project/wikiextractor,2020-12-05 19:18:56+00:00,4.0,2000.0,2000.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n369,eli5,TeamHG-Memex/eli5,eli5,,,interpretability,,https://github.com/TeamHG-Memex/eli5,https://github.com/TeamHG-Memex/eli5,MIT,2016-09-15 01:04:57+00:00,2020-12-09 18:22:22+00:00,2020-01-22 07:39:36+00:00,282.0,125.0,108.0,2226.0,1198.0,2019-08-29 06:19:32+00:00,0.10.1,27.0,A library for debugging/inspecting machine learning classifiers and explaining their predictions.,893.0,797.0,14.0,23,https://pypi.org/project/eli5,2019-08-29 06:19:32+00:00,96.0,,,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n370,GPyTorch,cornellius-gp/gpytorch,gpytorch,,,probabilistics,['pytorch'],https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20+00:00,2020-12-12 00:39:42+00:00,2020-12-12 00:39:41+00:00,308.0,188.0,609.0,2208.0,3182.0,2020-11-30 21:36:11+00:00,1.3.0,24.0,A highly efficient and modular implementation of Gaussian Processes in PyTorch.,186.0,178.0,62.0,23,https://pypi.org/project/gpytorch,2020-11-30 21:38:19+00:00,8.0,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n371,einops,arogozhnikov/einops,einops,,,ml-frameworks,,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08+00:00,2020-11-21 03:15:40+00:00,2020-11-14 04:18:36+00:00,60.0,22.0,36.0,1927.0,290.0,2020-09-08 08:33:29+00:00,0.3,3.0,\"Deep learning operations reinvented (for pytorch, tensorflow, chainer, gluon and others).\",147.0,137.0,10.0,23,https://pypi.org/project/einops,2020-09-08 08:21:26+00:00,10.0,10354.0,10354.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n372,ART,Trusted-AI/adversarial-robustness-toolbox,adversarial-robustness-toolbox,,,adversarial,,https://github.com/Trusted-AI/adversarial-robustness-toolbox,https://github.com/Trusted-AI/adversarial-robustness-toolbox,MIT,2018-03-15 14:40:43+00:00,2020-12-16 09:59:47+00:00,2020-12-10 21:58:50+00:00,548.0,51.0,316.0,1895.0,,2020-12-01 01:59:38+00:00,1.5.0,26.0,\"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..\",92.0,92.0,58.0,23,https://pypi.org/project/adversarial-robustness-toolbox,2020-12-01 01:03:21+00:00,,2688.0,2688.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n373,SRU,asappresearch/sru,sru,,,pytorch-utils,['pytorch'],https://github.com/asappresearch/sru,https://github.com/asappresearch/sru,MIT,2017-08-28 20:37:41+00:00,2020-12-15 15:11:16+00:00,2020-12-08 15:36:42+00:00,278.0,47.0,53.0,1854.0,365.0,2020-10-12 15:29:33+00:00,2.5.1,20.0,Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755).,16.0,15.0,20.0,23,https://pypi.org/project/sru,2020-10-12 15:29:33+00:00,1.0,3166.0,3166.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,\n374,pytorch-nlp,PetrochukM/PyTorch-NLP,pytorch-nlp,,,nlp,['pytorch'],https://github.com/PetrochukM/PyTorch-NLP,https://github.com/PetrochukM/PyTorch-NLP,BSD-3-Clause,2018-02-25 05:00:36+00:00,2020-10-11 02:41:30+00:00,2020-10-11 02:41:24+00:00,223.0,14.0,49.0,1840.0,442.0,2019-11-04 05:16:00+00:00,0.5.0,19.0,Basic Utilities for PyTorch Natural Language Processing (NLP).,175.0,157.0,17.0,23,https://pypi.org/project/pytorch-nlp,2019-11-04 04:35:18+00:00,18.0,4207.0,4207.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n375,Acme,deepmind/acme,dm-acme,,,reinforcement-learning,['tensorflow'],https://github.com/deepmind/acme,https://github.com/deepmind/acme,Apache-2.0,2020-05-01 09:18:12+00:00,2020-12-10 23:11:20+00:00,2020-12-10 23:10:39+00:00,174.0,37.0,43.0,1822.0,316.0,2020-10-23 15:59:12+00:00,0.2.0,8.0,A library of reinforcement learning components and agents.,16.0,16.0,29.0,23,https://pypi.org/project/dm-acme,2020-07-24 13:03:30+00:00,,594.0,594.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n376,Essentia,MTG/essentia,essentia,,,audio,,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47+00:00,2020-12-15 19:24:00+00:00,2020-12-15 19:23:10+00:00,388.0,278.0,557.0,1680.0,2684.0,2015-03-31 16:33:30+00:00,2.0,8.0,\"C++ library for audio and music analysis, description and synthesis, including Python bindings.\",143.0,138.0,67.0,23,https://pypi.org/project/essentia,2020-04-22 16:31:02+00:00,5.0,1400.0,1400.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n377,DDSP,magenta/ddsp,ddsp,,,audio,['tensorflow'],https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27+00:00,2020-12-16 03:46:30+00:00,2020-12-16 03:46:20+00:00,155.0,16.0,81.0,1669.0,332.0,2020-11-11 21:25:25+00:00,0.13.0,25.0,DDSP: Differentiable Digital Signal Processing.,5.0,5.0,21.0,23,https://pypi.org/project/ddsp,2020-08-21 20:19:47+00:00,,1639.0,1639.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n378,GluonTS,awslabs/gluon-ts,gluonts,,,time-series-data,['mxnet'],https://github.com/awslabs/gluon-ts,https://github.com/awslabs/gluon-ts,Apache-2.0,2019-05-15 17:17:29+00:00,2020-12-16 09:55:48+00:00,2020-12-16 09:55:47+00:00,342.0,180.0,333.0,1609.0,614.0,2020-12-08 15:07:54+00:00,0.6.4,27.0,Probabilistic time series modeling in Python.,,,63.0,23,https://pypi.org/project/gluonts,2020-12-08 15:07:54+00:00,,22117.0,22117.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n379,Spektral,danielegrattarola/spektral,spektral,,,graph,\"['keras', 'tensorflow']\",https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10+00:00,2020-12-15 18:01:36+00:00,2020-12-15 18:00:24+00:00,174.0,20.0,87.0,1545.0,406.0,2020-12-10 21:12:38+00:00,1.0.3,26.0,Graph Neural Networks with Keras and Tensorflow 2.,25.0,25.0,15.0,23,https://pypi.org/project/spektral,2020-12-10 21:12:38+00:00,,3662.0,3662.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n380,Pillow-SIMD,uploadcare/pillow-simd,pillow-simd,,,image,,https://github.com/uploadcare/pillow-simd,https://github.com/uploadcare/pillow-simd,PIL,2014-11-12 15:33:02+00:00,2020-11-03 07:45:01+00:00,2020-06-02 14:50:14+00:00,66.0,11.0,52.0,1511.0,,2020-01-02 05:19:26+00:00,7.0.0,35.0,The friendly PIL fork.,396.0,346.0,310.0,23,https://pypi.org/project/pillow-simd,2020-01-26 14:30:27+00:00,50.0,33193.0,33193.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n381,pyLDAvis,bmabey/pyLDAvis,pyldavis,,,interpretability,['jupyter'],https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03+00:00,2020-12-03 09:31:49+00:00,2020-12-02 18:10:12+00:00,287.0,91.0,55.0,1366.0,218.0,2018-06-05 18:55:56+00:00,2.1.2,17.0,Python library for interactive topic model visualization. Port of the R LDAvis package.,1680.0,1581.0,31.0,23,https://pypi.org/project/pyldavis,2018-06-05 18:55:56+00:00,99.0,,,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n382,bonobo,python-bonobo/bonobo,bonobo,,http://docs.bonobo-project.org/en/master/,data-pipelines,,https://github.com/python-bonobo/bonobo,https://github.com/python-bonobo/bonobo,Apache-2.0,2016-12-09 04:03:23+00:00,2020-12-11 07:33:03+00:00,2019-07-20 13:19:49+00:00,111.0,62.0,106.0,1355.0,978.0,2019-05-16 13:19:48+00:00,0.6.4,38.0,Extract Transform Load for Python 3.5+.,126.0,102.0,35.0,23,https://pypi.org/project/bonobo,2019-07-20 13:33:19+00:00,24.0,2852.0,2852.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n383,Talos,autonomio/talos,talos,,,hyperopt,['keras'],https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41+00:00,2020-11-21 16:37:14+00:00,2020-11-21 16:27:04+00:00,220.0,41.0,342.0,1343.0,538.0,2020-11-09 16:48:30+00:00,1.0,13.0,\"Hyperparameter Optimization for TensorFlow, Keras and PyTorch.\",107.0,101.0,19.0,23,https://pypi.org/project/talos,2020-11-09 16:46:45+00:00,6.0,1265.0,1265.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n384,Pandaral·lel,nalepae/pandarallel,pandarallel,,,data-containers,\"['pandas', 'jupyter']\",https://github.com/nalepae/pandarallel,https://github.com/nalepae/pandarallel,BSD-3-Clause,2019-03-10 11:58:29+00:00,2020-12-13 16:58:58+00:00,2020-12-13 16:58:57+00:00,87.0,55.0,52.0,1289.0,108.0,2020-08-25 16:33:28+00:00,1.5.1,28.0,A simple and efficient tool to parallelize Pandas operations on all availableCPUs.,126.0,126.0,12.0,23,https://pypi.org/project/pandarallel,2020-08-25 16:33:28+00:00,,46843.0,46843.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n385,TNT,pytorch/tnt,torchnet,,,ml-experiments,['pytorch'],https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58+00:00,2020-01-15 16:00:31+00:00,2020-01-15 16:00:30+00:00,176.0,30.0,34.0,1256.0,155.0,2019-11-15 12:57:59+00:00,0.0.5.1,3.0,\"Simple tools for logging and visualizing, loading and training.\",540.0,490.0,34.0,23,https://pypi.org/project/torchnet,2018-07-29 23:16:03+00:00,50.0,7452.0,7452.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n386,hnswlib,nmslib/hnswlib,hnswlib,,,nn-search,,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46+00:00,2020-12-14 05:10:44+00:00,2020-08-18 21:30:59+00:00,222.0,72.0,102.0,1248.0,195.0,2020-07-13 04:50:55+00:00,0.4.0,3.0,Header-only C++/python library for fast approximate nearest neighbors.,2.0,,32.0,23,https://pypi.org/project/hnswlib,2020-07-13 04:50:55+00:00,2.0,9780.0,9780.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n387,MLBox,AxeldeRomblay/MLBox,mlbox,,,hyperopt,,https://github.com/AxeldeRomblay/MLBox,https://github.com/AxeldeRomblay/MLBox,BSD-1-Clause,2017-06-01 16:59:24+00:00,2020-11-24 17:57:08+00:00,2020-08-25 09:26:27+00:00,238.0,10.0,71.0,1159.0,1121.0,2020-08-25 09:32:37+00:00,0.8.5,21.0,MLBox is a powerful Automated Machine Learning python library.,18.0,18.0,9.0,23,https://pypi.org/project/mlbox,2020-08-25 09:32:37+00:00,,6369.0,6369.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n388,metric-learn,scikit-learn-contrib/metric-learn,metric-learn,,,others,['sklearn'],https://github.com/scikit-learn-contrib/metric-learn,https://github.com/scikit-learn-contrib/metric-learn,MIT,2013-11-02 08:29:47+00:00,2020-08-04 01:35:49+00:00,2020-08-04 01:35:39+00:00,204.0,47.0,109.0,1082.0,263.0,2020-07-02 12:55:51+00:00,0.6.2,10.0,Metric learning algorithms in Python.,122.0,113.0,19.0,23,https://pypi.org/project/metric-learn,2020-07-02 12:59:23+00:00,9.0,13876.0,13876.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n389,garage,rlworkgroup/garage,garage,,,reinforcement-learning,['tensorflow'],https://github.com/rlworkgroup/garage,https://github.com/rlworkgroup/garage,MIT,2018-06-10 21:31:23+00:00,2020-12-16 01:00:11+00:00,2020-12-16 01:00:08+00:00,181.0,182.0,762.0,987.0,1181.0,2020-09-17 07:34:11+00:00,2020.6.3,21.0,A toolkit for reproducible reinforcement learning research.,13.0,13.0,73.0,23,https://pypi.org/project/garage,2020-10-02 17:16:03+00:00,,309.0,309.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n390,modAL,modAL-python/modAL,modAL,,,others,['sklearn'],https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15+00:00,2020-12-09 16:01:00+00:00,2020-11-01 08:39:01+00:00,161.0,39.0,48.0,969.0,643.0,2020-08-21 06:19:25+00:00,0.4.0,11.0,A modular active learning framework for Python.,45.0,41.0,13.0,23,https://pypi.org/project/modAL,2020-11-01 08:48:50+00:00,4.0,2996.0,2996.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n391,tensorly,tensorly/tensorly,tensorly,,,others,,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52+00:00,2020-12-14 16:30:07+00:00,2020-12-12 20:20:11+00:00,186.0,24.0,90.0,916.0,818.0,2020-12-07 20:30:41+00:00,0.5.1,16.0,TensorLy: Tensor Learning in Python.,20.0,,37.0,23,https://pypi.org/project/tensorly,2020-12-07 20:30:41+00:00,20.0,3228.0,3228.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n392,ChainerRL,chainer/chainerrl,chainerrl,,,reinforcement-learning,,https://github.com/chainer/chainerrl,https://github.com/chainer/chainerrl,MIT,2017-01-30 04:58:15+00:00,2020-12-09 06:26:53+00:00,2020-12-09 06:26:52+00:00,205.0,75.0,146.0,915.0,3458.0,2020-02-14 05:35:56+00:00,0.8.0,10.0,ChainerRL is a deep reinforcement learning library built on top of Chainer.,101.0,87.0,29.0,23,https://pypi.org/project/chainerrl,2020-02-14 05:35:56+00:00,14.0,924.0,924.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n393,PySwarms,ljvmiranda921/pyswarms,pyswarms,,,others,,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45+00:00,2020-12-11 15:00:13+00:00,2020-11-17 09:42:41+00:00,228.0,13.0,151.0,691.0,403.0,2020-11-14 05:18:38+00:00,.1.2.0,19.0,A research toolkit for particle swarm optimization in Python.,83.0,83.0,42.0,23,https://pypi.org/project/pyswarms,2020-11-14 05:17:27+00:00,,6611.0,6611.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n394,Satpy,pytroll/satpy,satpy,,,geospatial-data,,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43+00:00,2020-12-16 11:53:57+00:00,2020-12-14 21:33:25+00:00,190.0,303.0,279.0,653.0,7923.0,2020-11-16 09:48:15+00:00,0.24.0,61.0,Python package for earth-observing satellite data processing.,43.0,37.0,102.0,23,https://pypi.org/project/satpy,2020-11-16 09:48:15+00:00,6.0,837.0,837.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n395,GPUtil,anderskm/gputil,gputil,,,system-monitoring,,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43+00:00,2020-10-01 05:42:49+00:00,2019-08-16 09:00:15+00:00,76.0,11.0,13.0,652.0,140.0,2018-12-18 09:12:13+00:00,1.4.0,8.0,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,998.0,896.0,13.0,23,https://pypi.org/project/gputil,2018-12-18 09:12:13+00:00,102.0,49845.0,49845.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n396,Singer,singer-io/getting-started,singer-python,,,data-loading,,https://github.com/singer-io/getting-started,https://github.com/singer-io/getting-started,AGPL-3.0,2016-10-31 16:53:56+00:00,2020-12-04 20:57:23+00:00,2020-12-04 20:57:19+00:00,86.0,20.0,16.0,648.0,173.0,2019-11-04 21:43:38+00:00,5.9.1,100.0,\"Standard for moving data between databases, web APIs, files, queues, and just about anything else you can think of.\",300.0,,26.0,23,https://pypi.org/project/singer-python,2020-10-27 17:49:47+00:00,300.0,55008.0,55008.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n397,scikit-multilearn,scikit-multilearn/scikit-multilearn,scikit-multilearn,,,others,['sklearn'],https://github.com/scikit-multilearn/scikit-multilearn,https://github.com/scikit-multilearn/scikit-multilearn,BSD-2-Clause,2014-04-30 13:05:44+00:00,2020-06-30 10:19:46+00:00,2019-05-21 11:29:06+00:00,117.0,64.0,91.0,609.0,487.0,2018-12-10 16:24:47+00:00,0.2.0,6.0,A scikit-learn based module for multi-label et. al. classification.,306.0,303.0,15.0,23,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47+00:00,3.0,62888.0,62888.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n398,pyahocorasick,WojciechMula/pyahocorasick,pyahocorasick,,,nlp,,https://github.com/WojciechMula/pyahocorasick,https://github.com/WojciechMula/pyahocorasick,BSD-3-Clause,2013-05-30 19:55:46+00:00,2020-04-06 18:14:15+00:00,2020-04-06 18:13:55+00:00,84.0,29.0,63.0,558.0,392.0,2018-12-20 19:06:01+00:00,1.4.0,22.0,Python module (C extension and plain python) implementing Aho-Corasick algorithm.,506.0,442.0,19.0,23,https://pypi.org/project/pyahocorasick,2019-01-14 16:20:13+00:00,64.0,154385.0,154385.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n399,micawber,coleifer/micawber,micawber,,,web-scraping,,https://github.com/coleifer/micawber,https://github.com/coleifer/micawber,MIT,2012-03-27 21:42:46+00:00,2020-12-16 12:43:52+00:00,2020-11-05 00:47:52+00:00,76.0,1.0,52.0,510.0,187.0,2018-09-23 17:09:40+00:00,0.5.0,20.0,a small library for extracting rich content from urls.,841.0,477.0,25.0,23,https://pypi.org/project/micawber,2019-06-30 16:20:04+00:00,364.0,3051.0,3051.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n400,GeoViews,holoviz/geoviews,geoviews,conda-forge/geoviews,,geospatial-data,,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01+00:00,2020-11-13 20:59:34+00:00,2020-09-21 16:31:16+00:00,59.0,77.0,169.0,319.0,635.0,2020-09-23 18:59:07+00:00,1.8.0,21.0,\"Simple, concise geographical visualization in Python.\",184.0,174.0,21.0,23,https://pypi.org/project/geoviews,2020-03-30 19:17:21+00:00,10.0,1681.0,1681.0,https://anaconda.org/conda-forge/geoviews,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n401,pyhdb,SAP/pyhdb,pyhdb,,,db-clients,,https://github.com/SAP/PyHDB,https://github.com/SAP/PyHDB,Apache-2.0,2014-12-12 04:02:40+00:00,2020-10-20 15:21:20+00:00,2018-05-24 13:45:41+00:00,132.0,50.0,51.0,285.0,155.0,2018-02-16 12:44:36+00:00,0.3.4,8.0,SAP HANA Connector in pure Python.,130.0,100.0,10.0,23,https://pypi.org/project/pyhdb,2018-02-16 12:37:13+00:00,30.0,67947.0,67947.0,,,,False,3,57.0,,,,,,,,,,,,,,,,,,,,,,\n402,pySBD,nipunsadvilkar/pySBD,pysbd,,,nlp,,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20+00:00,2020-12-01 05:37:27+00:00,2020-12-01 05:37:25+00:00,25.0,4.0,43.0,240.0,274.0,2020-10-08 11:41:09+00:00,0.3.3,14.0,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,91.0,89.0,6.0,23,https://pypi.org/project/pysbd,2020-10-08 11:33:56+00:00,2.0,15018.0,15018.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n403,TensorFlow Cloud,tensorflow/cloud,tensorflow-cloud,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59+00:00,2020-12-14 23:05:40+00:00,2020-12-04 18:40:10+00:00,41.0,41.0,25.0,209.0,486.0,2020-12-03 20:05:29+00:00,0.1.10,13.0,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,7.0,7.0,15.0,23,https://pypi.org/project/tensorflow-cloud,2020-12-03 20:05:29+00:00,,683422.0,683422.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n404,Orion,Epistimio/orion,orion,,,hyperopt,,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21+00:00,2020-12-10 01:11:18+00:00,2020-12-04 21:01:34+00:00,35.0,18.0,92.0,179.0,2421.0,2020-12-04 17:08:50+00:00,0.1.11,12.0,Asynchronous Distributed Hyperparameter Optimization.,47.0,39.0,18.0,23,https://pypi.org/project/orion,2020-12-04 17:08:50+00:00,8.0,1097.0,1097.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n405,pyexcel-xlsx,pyexcel/pyexcel-xlsx,pyexcel-xlsx,conda-forge/pyexcel-xlsx,,data-loading,,https://github.com/pyexcel/pyexcel-xlsx,https://github.com/pyexcel/pyexcel-xlsx,BSD-3-Clause,2014-12-02 00:03:24+00:00,2020-11-28 22:30:58+00:00,2020-11-28 22:30:53+00:00,16.0,12.0,20.0,83.0,267.0,2020-10-10 13:13:09+00:00,0.6.0,30.0,\"A wrapper library to read, manipulate and write data in xlsx and xlsm format using openpyxl.\",1343.0,1033.0,4.0,23,https://pypi.org/project/pyexcel-xlsx,2019-12-28 20:09:57+00:00,310.0,42589.0,42589.0,https://anaconda.org/conda-forge/pyexcel-xlsx,,,False,3,46.0,,,,,,,,,,,,,,,,,,,,,,\n406,PaddleOCR,PaddlePaddle/PaddleOCR,paddleocr,,,ocr,['paddle'],https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16+00:00,2020-12-16 12:20:19+00:00,2020-12-16 12:20:18+00:00,1443.0,227.0,714.0,7370.0,,2020-12-16 03:00:04+00:00,2.0.1,9.0,\"Awesome multilingual OCR toolkits based on PaddlePaddle practical ultra lightweight OCR system, provide data..\",9.0,9.0,41.0,22,https://pypi.org/project/paddleocr,2020-12-16 03:00:04+00:00,0.0,1244.0,1244.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n407,Vaex,vaexio/vaex,vaex,conda-forge/vaex,,data-containers,,https://github.com/vaexio/vaex,https://github.com/vaexio/vaex,MIT,2014-09-27 09:44:42+00:00,2020-12-14 18:05:42+00:00,2020-12-09 10:57:28+00:00,418.0,266.0,378.0,5474.0,2898.0,2020-05-25 21:35:34+00:00,3.0.0,41.0,\"Out-of-Core DataFrames for Python, ML, visualize and explore big tabular data at a billion rows per second.\",2.0,,35.0,22,https://pypi.org/project/vaex,2020-12-08 16:25:15+00:00,2.0,4808.0,4810.0,https://anaconda.org/conda-forge/vaex,,,True,3,199.0,,,,,,,,,,,,,,,,,,,,,,\n408,Face Alignment,1adrianb/face-alignment,face-alignment,,,image,['pytorch'],https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44+00:00,2020-12-16 12:15:36+00:00,2020-12-16 12:09:02+00:00,971.0,44.0,181.0,4533.0,159.0,2020-09-12 12:24:59+00:00,1.1.1,5.0,2D and 3D Face alignment library build using pytorch.,6.0,,19.0,22,https://pypi.org/project/face-alignment,2020-09-12 12:24:59+00:00,6.0,5025.0,5025.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n409,Snips NLU,snipsco/snips-nlu,snips-nlu,,,nlp,,https://github.com/snipsco/snips-nlu,https://github.com/snipsco/snips-nlu,Apache-2.0,2017-02-08 16:16:36+00:00,2020-02-08 21:49:33+00:00,2020-02-08 21:49:32+00:00,451.0,50.0,196.0,3412.0,2153.0,2020-01-15 10:13:17+00:00,0.20.2,58.0,Snips Python library to extract meaning from text.,8.0,,21.0,22,https://pypi.org/project/snips-nlu,2020-01-15 10:13:17+00:00,8.0,1881.0,1881.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n410,Image Deduplicator,idealo/imagededup,imagededup,,,image,['tensorflow'],https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54+00:00,2020-12-15 16:08:20+00:00,2020-11-23 17:40:40+00:00,265.0,14.0,49.0,3282.0,460.0,2020-11-23 17:55:24+00:00,0.2.4,9.0,Finding duplicate images made easy!.,9.0,8.0,9.0,22,https://pypi.org/project/imagededup,2020-11-22 21:09:36+00:00,1.0,2372.0,2372.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n411,ArrayFire,arrayfire/arrayfire,arrayfire,,,gpu-utilities,,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33+00:00,2020-12-14 08:28:11+00:00,2020-12-02 16:58:49+00:00,450.0,254.0,1192.0,3238.0,5663.0,2020-11-23 16:37:49+00:00,3.7.3,29.0,ArrayFire: a general purpose GPU library.,2.0,,80.0,22,https://pypi.org/project/arrayfire,2018-10-18 14:13:29+00:00,2.0,606.0,612.0,,,,True,2,458.0,,,,,,,,,,,,,,,,,,,,,,\n412,AdaNet,tensorflow/adanet,adanet,,,hyperopt,['tensorflow'],https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24+00:00,2020-07-09 21:03:28+00:00,2020-07-09 20:51:04+00:00,490.0,63.0,47.0,3216.0,439.0,2020-07-09 20:53:28+00:00,0.9.0,13.0,Fast and flexible AutoML with learning guarantees.,34.0,32.0,26.0,22,https://pypi.org/project/adanet,2020-07-09 21:03:28+00:00,2.0,860.0,860.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n413,PyAlgoTrade,gbeced/pyalgotrade,pyalgotrade,,,financial-data,,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54+00:00,2020-09-16 00:41:56+00:00,2018-08-21 02:42:52+00:00,1139.0,38.0,81.0,3076.0,1156.0,,,8.0,Python Algorithmic Trading Library.,86.0,65.0,11.0,22,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25+00:00,21.0,507.0,507.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n414,textract,deanmalmgren/textract,textract,,,data-loading,,https://github.com/deanmalmgren/textract,https://github.com/deanmalmgren/textract,MIT,2014-07-03 20:36:59+00:00,2020-12-08 20:26:58+00:00,2019-11-14 08:37:39+00:00,415.0,84.0,121.0,2915.0,556.0,2019-08-26 15:05:53+00:00,1.6.3,15.0,extract text from any document. no muss. no fuss.,192.0,,30.0,22,https://pypi.org/project/textract,2019-08-26 15:05:53+00:00,192.0,,,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n415,Scalene,emeryberger/scalene,scalene,,,system-monitoring,,https://github.com/emeryberger/scalene,https://github.com/emeryberger/scalene,Apache-2.0,2019-12-17 20:56:28+00:00,2020-12-10 01:29:13+00:00,2020-12-10 01:29:09+00:00,102.0,18.0,50.0,2864.0,770.0,2020-12-09 19:58:56+00:00,1.1.12,85.0,\"Scalene: a high-performance, high-precision CPU and memory profiler for Python.\",18.0,18.0,15.0,22,https://pypi.org/project/scalene,2020-12-09 23:42:11+00:00,0.0,1870.0,1870.0,,,,True,3,,,,,,,,,,,,,,,,,py-spy,,,,,,\n416,aubio,aubio/aubio,,,,audio,,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44+00:00,2020-12-07 11:14:34+00:00,2020-07-02 17:03:56+00:00,291.0,102.0,171.0,1985.0,4109.0,2019-02-27 09:00:43+00:00,0.4.9,8.0,a library for audio and music analysis.,195.0,195.0,24.0,22,,,,,,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n417,Mars,mars-project/mars,pymars,,,others,,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03+00:00,2020-12-16 07:10:57+00:00,2020-12-15 11:51:12+00:00,236.0,102.0,603.0,1954.0,653.0,2020-12-05 08:43:25+00:00,0.6.0,65.0,\"Mars is a tensor-based unified framework for large-scale data computation which scales Numpy, Pandas and Scikit-learn.\",3.0,3.0,14.0,22,https://pypi.org/project/pymars,2020-12-05 09:40:46+00:00,,2485.0,2485.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n418,Enigma Catalyst,enigmampc/catalyst,enigma-catalyst,,,financial-data,,https://github.com/enigmampc/catalyst,https://github.com/enigmampc/catalyst,Apache-2.0,2017-06-13 22:31:34+00:00,2020-03-12 17:32:54+00:00,2018-11-11 19:19:00+00:00,563.0,131.0,363.0,1890.0,6360.0,2018-09-13 15:09:58+00:00,0.5.21,52.0,An Algorithmic Trading Library for Crypto-Assets in Python.,19.0,19.0,143.0,22,https://pypi.org/project/enigma-catalyst,2018-11-11 16:46:28+00:00,,271.0,271.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n419,PandasGUI,adamerose/pandasgui,pandasgui,,,data-viz,['pandas'],https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT,2019-06-12 02:19:42+00:00,2020-12-05 10:18:01+00:00,2020-12-05 10:17:52+00:00,103.0,10.0,50.0,1861.0,403.0,2020-11-10 17:30:20+00:00,0.2.7,37.0,A GUI for Pandas DataFrames.,24.0,23.0,6.0,22,https://pypi.org/project/pandasgui,2020-11-10 17:30:20+00:00,1.0,2446.0,2446.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n420,PyFlux,RJT1990/pyflux,pyflux,,,time-series-data,,https://github.com/RJT1990/pyflux,https://github.com/RJT1990/pyflux,BSD-3-Clause,2016-02-16 20:12:02+00:00,2019-03-19 10:45:02+00:00,2018-12-16 15:30:13+00:00,204.0,79.0,65.0,1833.0,118.0,2017-11-21 16:27:06+00:00,0.4.16,35.0,Open source time series library for Python.,179.0,164.0,6.0,22,https://pypi.org/project/pyflux,2017-11-21 16:27:06+00:00,15.0,12360.0,12360.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n421,MONAI,Project-MONAI/MONAI,monai,,,medical-data,['pytorch'],https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38+00:00,2020-12-16 04:12:52+00:00,2020-12-15 23:53:58+00:00,285.0,82.0,553.0,1597.0,688.0,2020-12-15 15:21:13+00:00,0.4.0,15.0,AI Toolkit for Healthcare Imaging.,,,48.0,22,https://pypi.org/project/monai,2020-12-15 15:16:56+00:00,,4316.0,4316.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n422,STUMPY,TDAmeritrade/stumpy,stumpy,conda-forge/stumpy,,time-series-data,,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44+00:00,2020-12-15 17:23:06+00:00,2020-12-15 17:22:52+00:00,150.0,29.0,167.0,1595.0,755.0,2020-12-10 18:23:49+00:00,1.6.0,14.0,\"STUMPY is a powerful and scalable Python library for computing a Matrix Profile, which can be used for a variety of..\",,,20.0,22,https://pypi.org/project/stumpy,2020-12-10 18:23:49+00:00,,9698.0,9698.0,https://anaconda.org/conda-forge/stumpy,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n423,scattertext,JasonKessler/scattertext,scattertext,,,nlp,,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12+00:00,2020-12-14 02:45:48+00:00,2020-12-14 02:44:49+00:00,196.0,16.0,50.0,1463.0,334.0,2017-03-13 05:31:21+00:00,0.0.2.4.4,127.0,Beautiful visualizations of how language differs among document types.,141.0,133.0,10.0,22,https://pypi.org/project/scattertext,2020-12-14 02:45:48+00:00,8.0,3045.0,3045.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n424,fast-bert,kaushaltrivedi/fast-bert,fast-bert,,,nlp,,https://github.com/kaushaltrivedi/fast-bert,https://github.com/kaushaltrivedi/fast-bert,Apache-2.0,2019-04-18 22:01:20+00:00,2020-12-09 21:27:58+00:00,2020-12-09 21:27:24+00:00,302.0,137.0,90.0,1457.0,261.0,2020-12-09 21:27:58+00:00,1.9.5,40.0,Super easy library for BERT based NLP models.,2.0,,34.0,22,https://pypi.org/project/fast-bert,2020-12-09 21:27:58+00:00,2.0,2054.0,2054.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n425,sklearn-contrib-lightning,scikit-learn-contrib/lightning,sklearn-contrib-lightning,,,others,['sklearn'],https://github.com/scikit-learn-contrib/lightning,https://github.com/scikit-learn-contrib/lightning,BSD-3-Clause,2012-01-11 13:53:52+00:00,2020-12-16 11:18:13+00:00,2020-12-16 11:18:12+00:00,164.0,41.0,35.0,1402.0,695.0,2017-11-04 18:03:11+00:00,0.5.0,6.0,\"Large-scale linear classification, regression and ranking in Python.\",69.0,67.0,15.0,22,https://pypi.org/project/sklearn-contrib-lightning,2017-11-04 18:03:11+00:00,2.0,214.0,214.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n426,anaGo,Hironsan/anago,anago,,,nlp,['keras'],https://github.com/Hironsan/anago,https://github.com/Hironsan/anago,MIT,2017-06-26 21:28:36+00:00,2020-11-13 17:31:18+00:00,2019-10-23 03:19:52+00:00,346.0,36.0,71.0,1370.0,296.0,2018-06-03 13:51:56+00:00,1.0.0,14.0,\"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.\",24.0,24.0,11.0,22,https://pypi.org/project/anago,2018-07-17 01:59:21+00:00,,1647.0,1647.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n427,NiftyNet,NifTK/NiftyNet,niftynet,,,medical-data,['tensorflow'],https://github.com/NifTK/NiftyNet,https://github.com/NifTK/NiftyNet,Apache-2.0,2017-08-30 07:55:43+00:00,2020-04-21 19:54:52+00:00,2020-04-21 19:54:51+00:00,372.0,99.0,224.0,1257.0,2848.0,2019-10-09 19:33:30+00:00,0.6.0,11.0,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,33.0,33.0,58.0,22,https://pypi.org/project/niftynet,2019-10-10 10:59:33+00:00,,300.0,300.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n428,EfficientNets,rwightman/gen-efficientnet-pytorch,geffnet,,,pytorch-utils,['pytorch'],https://github.com/rwightman/gen-efficientnet-pytorch,https://github.com/rwightman/gen-efficientnet-pytorch,Apache-2.0,2019-05-11 19:35:56+00:00,2020-11-30 05:51:08+00:00,2020-11-30 05:49:27+00:00,161.0,,46.0,1206.0,106.0,2020-08-20 19:55:21+00:00,1.0.0,9.0,\"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.\",25.0,25.0,5.0,22,https://pypi.org/project/geffnet,2020-08-20 19:55:21+00:00,,1219.0,1219.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n429,pandasql,yhat/pandasql,pandasql,,,data-containers,['pandas'],https://github.com/yhat/pandasql,https://github.com/yhat/pandasql,MIT,2013-02-18 01:53:56+00:00,2020-08-14 13:00:13+00:00,2017-02-01 15:40:30+00:00,141.0,44.0,23.0,921.0,127.0,2016-04-20 21:52:36+00:00,0.7.3,31.0,sqldf for pandas.,633.0,584.0,15.0,22,https://pypi.org/project/pandasql,2016-04-20 21:52:36+00:00,49.0,212356.0,212356.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n430,bt,pmorissette/bt,bt,,,financial-data,,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28+00:00,2020-12-15 04:05:29+00:00,2020-12-15 04:05:28+00:00,243.0,53.0,157.0,902.0,362.0,2018-05-28 17:12:46+00:00,0.2.7,23.0,bt - flexible backtesting for Python.,59.0,39.0,20.0,22,https://pypi.org/project/bt,2018-05-28 17:12:46+00:00,20.0,3524.0,3524.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n431,luminol,linkedin/luminol,luminol,,,time-series-data,,https://github.com/linkedin/luminol,https://github.com/linkedin/luminol,Apache-2.0,2015-11-18 23:16:33+00:00,2019-10-23 13:20:58+00:00,2018-01-09 07:46:55+00:00,174.0,24.0,12.0,857.0,69.0,2016-01-20 01:01:44+00:00,0.3.1,5.0,Anomaly Detection and Correlation library.,48.0,36.0,8.0,22,https://pypi.org/project/luminol,2017-12-11 06:04:15+00:00,12.0,132922.0,132922.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n432,spacy-transformers,explosion/spacy-transformers,spacy-transformers,,,nlp,['spacy'],https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34+00:00,2020-12-15 15:17:59+00:00,2020-12-08 21:46:08+00:00,97.0,48.0,131.0,854.0,1234.0,2020-06-29 12:10:14+00:00,0.6.2,33.0,\"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.\",67.0,64.0,14.0,22,https://pypi.org/project/spacy-transformers,2020-10-14 12:35:57+00:00,3.0,7801.0,7801.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n433,attention-ocr,emedvedev/attention-ocr,aocr,,,ocr,['tensorflow'],https://github.com/emedvedev/attention-ocr,https://github.com/emedvedev/attention-ocr,MIT,2017-07-21 18:35:19+00:00,2020-10-31 19:40:20+00:00,2020-10-31 19:40:19+00:00,225.0,16.0,125.0,821.0,196.0,2020-10-12 06:56:40+00:00,0.7.6,21.0,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,15.0,15.0,27.0,22,https://pypi.org/project/aocr,2019-04-19 05:28:27+00:00,,213.0,213.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n434,Neural Structured Learning,tensorflow/neural-structured-learning,neural-structured-learning,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/neural-structured-learning,https://github.com/tensorflow/neural-structured-learning,Apache-2.0,2019-08-27 21:48:16+00:00,2020-12-14 18:50:22+00:00,2020-12-14 18:50:13+00:00,135.0,5.0,38.0,755.0,344.0,2020-08-18 00:30:03+00:00,1.3.1,7.0,Training neural models with structured signals.,15.0,15.0,25.0,22,https://pypi.org/project/neural-structured-learning,2020-08-18 00:35:35+00:00,,2635.0,2635.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n435,FinTA,peerchemist/finta,finta,,,financial-data,,https://github.com/peerchemist/finta,https://github.com/peerchemist/finta,LGPL-3.0,2016-09-01 21:02:46+00:00,2020-12-16 07:15:23+00:00,2020-11-04 21:30:11+00:00,276.0,7.0,58.0,737.0,364.0,2020-10-21 11:36:19+00:00,1.2,19.0,Common financial technical indicators implemented in Pandas.,53.0,51.0,21.0,22,https://pypi.org/project/finta,2020-10-21 11:39:44+00:00,2.0,2767.0,2767.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n436,Explainability 360,Trusted-AI/AIX360,aix360,,,interpretability,,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48+00:00,2020-12-04 16:51:14+00:00,2020-12-04 16:49:39+00:00,160.0,26.0,18.0,735.0,305.0,2020-10-28 09:32:21+00:00,0.2.1,4.0,Interpretability and explainability of data and machine learning models.,13.0,12.0,27.0,22,https://pypi.org/project/aix360,2020-10-28 09:18:17+00:00,1.0,704.0,704.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n437,openTSNE,pavlin-policar/openTSNE,opentsne,conda-forge/opentsne,,data-viz,,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09+00:00,2020-11-27 13:41:37+00:00,2020-11-27 13:40:26+00:00,78.0,3.0,68.0,723.0,496.0,2020-05-08 13:03:50+00:00,0.4.4,17.0,\"Extensible, parallel implementations of t-SNE.\",160.0,156.0,10.0,22,https://pypi.org/project/opentsne,2020-08-04 06:43:16+00:00,4.0,11250.0,11250.0,https://anaconda.org/conda-forge/opentsne,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n438,TreeInterpreter,andosa/treeinterpreter,treeinterpreter,,,interpretability,['sklearn'],https://github.com/andosa/treeinterpreter,https://github.com/andosa/treeinterpreter,BSD-3-Clause,2015-08-02 20:26:21+00:00,2020-10-03 02:17:19+00:00,2020-06-22 18:40:46+00:00,127.0,18.0,1.0,628.0,34.0,2018-12-16 14:02:34+00:00,0.2.2,4.0,Package for interpreting scikit-learn's decision tree and random forest predictions.,110.0,106.0,10.0,22,https://pypi.org/project/treeinterpreter,2018-12-16 14:02:34+00:00,4.0,76599.0,76599.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n439,Node2Vec,eliorc/node2vec,node2vec,,,graph,,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06+00:00,2020-11-28 08:59:52+00:00,2020-11-28 08:54:36+00:00,159.0,1.0,46.0,596.0,44.0,2020-11-28 08:59:52+00:00,0.4.0,12.0,Implementation of the node2vec algorithm.,107.0,102.0,6.0,22,https://pypi.org/project/node2vec,2020-11-28 08:57:22+00:00,5.0,8010.0,8010.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n440,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,pandas-bokeh,,,data-viz,['pandas'],https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14+00:00,2020-11-27 08:30:55+00:00,2020-11-27 08:28:43+00:00,74.0,20.0,51.0,586.0,259.0,2020-11-27 08:29:09+00:00,0.5.2,13.0,Bokeh Plotting Backend for Pandas and GeoPandas.,124.0,114.0,11.0,22,https://pypi.org/project/pandas-bokeh,2020-11-27 08:30:55+00:00,10.0,7961.0,7961.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n441,pyproj,pyproj4/pyproj,pyproj,,,geospatial-data,,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25+00:00,2020-12-10 18:05:45+00:00,2020-12-10 18:04:07+00:00,144.0,6.0,370.0,552.0,1092.0,2020-11-05 13:39:29+00:00,3.0.0.post1,34.0,Python interface to PROJ (cartographic projections and coordinate transformations library).,10278.0,7816.0,39.0,22,https://pypi.org/project/pyproj,2020-11-05 14:28:45+00:00,2462.0,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n442,Prince,MaxHalford/prince,prince,,,others,['sklearn'],https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06+00:00,2020-10-06 11:48:49+00:00,2020-10-06 11:26:04+00:00,108.0,24.0,64.0,536.0,178.0,2020-10-06 11:26:47+00:00,0.7.1,41.0,\"Python factor analysis library (PCA, CA, MCA, MFA, FAMD).\",98.0,95.0,9.0,22,https://pypi.org/project/prince,2020-10-06 11:26:47+00:00,3.0,6258.0,6258.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n443,Guild AI,guildai/guildai,guildai,,,ml-experiments,,https://github.com/guildai/guildai,https://github.com/guildai/guildai,Apache-2.0,2017-09-27 18:57:50+00:00,2020-12-15 23:42:26+00:00,2020-12-15 23:41:58+00:00,44.0,93.0,143.0,511.0,4168.0,2020-12-05 17:36:38+00:00,0.7.1,155.0,\"Experiment tracking, ML developer tools.\",25.0,25.0,16.0,22,https://pypi.org/project/guildai,2020-12-05 17:36:38+00:00,,4609.0,4609.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n444,vega,vega/ipyvega,vega,conda-forge/vega,,data-viz,['jupyter'],https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47+00:00,2020-12-14 16:46:32+00:00,2020-12-14 16:46:29+00:00,46.0,8.0,79.0,289.0,461.0,2020-05-15 23:40:02+00:00,3.4.0,37.0,IPython/Jupyter notebook module for Vega and Vega-Lite.,148.0,,9.0,22,https://pypi.org/project/vega,2020-05-15 23:40:02+00:00,148.0,10635.0,10635.0,https://anaconda.org/conda-forge/vega,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n445,SDV,sdv-dev/SDV,sdv,,,data-loading,,https://github.com/sdv-dev/SDV,https://github.com/sdv-dev/SDV,MIT,2018-05-11 15:56:50+00:00,2020-12-10 12:40:36+00:00,2020-12-07 19:08:43+00:00,48.0,36.0,124.0,280.0,731.0,2020-11-25 21:16:43+00:00,0.5.0,31.0,\"Synthetic Data Generation for tabular, relational and time series data.\",12.0,12.0,32.0,22,https://pypi.org/project/sdv,2020-11-25 21:16:03+00:00,,1516.0,1516.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n446,py3nvml,fbcotter/py3nvml,py3nvml,,,gpu-utilities,,https://github.com/fbcotter/py3nvml,https://github.com/fbcotter/py3nvml,BSD-3-Clause,2016-11-21 01:07:37+00:00,2020-04-23 06:54:43+00:00,2020-04-23 06:54:42+00:00,24.0,2.0,8.0,159.0,79.0,2020-04-06 16:02:10+00:00,0.2.6,13.0,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,230.0,210.0,6.0,22,https://pypi.org/project/py3nvml,2020-04-06 16:02:10+00:00,20.0,72487.0,72487.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n447,cloudant,cloudant/python-cloudant,cloudant,,,db-clients,,https://github.com/cloudant/python-cloudant,https://github.com/cloudant/python-cloudant,Apache-2.0,2015-08-28 16:22:49+00:00,2020-12-15 19:31:50+00:00,2020-11-25 17:20:12+00:00,44.0,39.0,240.0,156.0,802.0,2020-08-18 12:14:54+00:00,2.14.0,46.0,A Python library for Cloudant and CouchDB.,1767.0,1233.0,27.0,22,https://pypi.org/project/cloudant,2020-08-18 11:22:22+00:00,534.0,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n448,Recommenders,microsoft/recommenders,,,,recommender-systems,,https://github.com/microsoft/recommenders,https://github.com/microsoft/recommenders,MIT,2018-09-19 10:06:07+00:00,2020-12-09 22:07:22+00:00,2020-11-27 17:04:52+00:00,1472.0,100.0,425.0,8821.0,6206.0,2020-08-20 15:11:46+00:00,2020.8,6.0,Best Practices on Recommendation Systems.,1.0,1.0,86.0,21,,,,,,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n449,Dejavu,worldveil/dejavu,PyDejavu,,,audio,,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35+00:00,2020-10-29 17:40:17+00:00,2020-06-03 05:58:03+00:00,1236.0,83.0,129.0,5249.0,146.0,2015-04-19 21:20:16+00:00,0.1.3,4.0,Audio fingerprinting and recognition in Python.,17.0,16.0,23.0,21,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16+00:00,1.0,144.0,144.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n450,PDFMiner,euske/pdfminer,pdfminer,,,data-loading,,https://github.com/euske/pdfminer,https://github.com/euske/pdfminer,MIT,2010-12-12 12:50:22+00:00,2020-06-23 18:16:10+00:00,2020-01-18 07:00:32+00:00,1024.0,222.0,38.0,4448.0,540.0,,,24.0,Python PDF Parser (Not actively maintained). Check out pdfminer.six.,3367.0,1901.0,28.0,21,https://pypi.org/project/pdfminer,2019-11-25 12:02:21+00:00,1466.0,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n451,mace,XiaoMi/mace,,,,ml-frameworks,,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12+00:00,2020-11-04 12:39:59+00:00,2020-11-04 11:55:55+00:00,740.0,37.0,574.0,4236.0,3059.0,2020-11-04 12:43:00+00:00,1.0.0,7.0,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,,,54.0,21,,,,,45.0,,,,True,3,1272.0,,,,,,,,,,,,,,,,,,,,,,\n452,MMF,facebookresearch/mmf,mmf,,,image,['pytorch'],https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40+00:00,2020-12-16 05:48:20+00:00,2020-12-10 13:55:36+00:00,585.0,88.0,313.0,3993.0,753.0,2019-08-26 19:04:21+00:00,0.3.1,11.0,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,6.0,6.0,50.0,21,https://pypi.org/project/mmf,2020-06-11 16:09:52+00:00,,319.0,319.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n453,MatchZoo,NTMC-Community/MatchZoo,matchzoo,,,nlp,['keras'],https://github.com/NTMC-Community/MatchZoo,https://github.com/NTMC-Community/MatchZoo,Apache-2.0,2017-06-08 08:55:22+00:00,2020-06-17 07:27:59+00:00,2019-10-24 13:10:07+00:00,858.0,23.0,427.0,3292.0,1808.0,2019-10-24 13:09:11+00:00,2.2.0,5.0,\"Facilitating the design, comparison and sharing of deep text matching models.\",9.0,9.0,35.0,21,https://pypi.org/project/matchzoo,2019-10-24 13:09:11+00:00,,303.0,303.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n454,yellowbrick,DistrictDataLabs/yellowbrick,yellowbrick,,,interpretability,['sklearn'],https://github.com/DistrictDataLabs/yellowbrick,https://github.com/DistrictDataLabs/yellowbrick,Apache-2.0,2016-05-18 14:12:17+00:00,2020-11-01 16:41:29+00:00,2020-11-01 16:41:28+00:00,462.0,83.0,504.0,3033.0,829.0,2020-10-09 19:34:55+00:00,1.2,19.0,Visual analysis and diagnostic tools to facilitate machine learning model selection.,62.0,,95.0,21,https://pypi.org/project/yellowbrick,2020-10-09 19:35:00+00:00,62.0,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n455,TensorWatch,microsoft/tensorwatch,tensorwatch,,,ml-experiments,,https://github.com/microsoft/tensorwatch,https://github.com/microsoft/tensorwatch,MIT,2019-05-15 08:29:34+00:00,2020-09-16 04:30:12+00:00,2020-09-16 04:30:11+00:00,304.0,48.0,14.0,2984.0,108.0,2020-03-04 07:26:22+00:00,0.9.1,14.0,\"Debugging, monitoring and visualization for Python Machine Learning and Data Science.\",47.0,41.0,11.0,21,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22+00:00,6.0,1379.0,1379.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n456,NLP Architect,IntelLabs/nlp-architect,nlp-architect,,,nlp,,https://github.com/IntelLabs/nlp-architect,https://github.com/IntelLabs/nlp-architect,Apache-2.0,2018-05-17 21:00:13+00:00,2020-12-09 14:58:41+00:00,2020-11-26 15:35:15+00:00,394.0,16.0,101.0,2555.0,946.0,2020-11-17 12:32:37+00:00,0.5.5.1,13.0,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,6.0,6.0,35.0,21,https://pypi.org/project/nlp-architect,2020-04-12 11:34:38+00:00,,262.0,262.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n457,tensorflow-graphics,tensorflow/graphics,tensorflow-graphics,,,image,['tensorflow'],https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44+00:00,2020-11-13 18:50:29+00:00,2020-10-30 10:26:19+00:00,261.0,87.0,81.0,2362.0,566.0,2020-05-20 19:56:41+00:00,2020.5.20,21.0,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,3.0,,30.0,21,https://pypi.org/project/tensorflow-graphics,2020-05-20 19:56:41+00:00,3.0,929.0,929.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n458,Image Super-Resolution,idealo/image-super-resolution,ISR,,,image,['tensorflow'],https://github.com/idealo/image-super-resolution,https://github.com/idealo/image-super-resolution,Apache-2.0,2018-11-26 13:41:13+00:00,2020-11-11 15:09:20+00:00,2020-11-11 15:09:19+00:00,444.0,43.0,95.0,2334.0,138.0,2020-01-08 15:37:35+00:00,2.2.0,11.0,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,38.0,34.0,9.0,21,https://pypi.org/project/ISR,2020-01-08 15:37:35+00:00,4.0,2251.0,2255.0,,,,True,3,,,,idealo/image-super-resolution-gpu,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251+00:00,,108.0,,,,,,,,,,,,,,,\n459,Luminoth,tryolabs/luminoth,luminoth,,,image,['tensorflow'],https://github.com/tryolabs/luminoth,https://github.com/tryolabs/luminoth,BSD-3-Clause,2017-02-16 15:07:46+00:00,2020-11-13 18:44:46+00:00,2020-01-07 20:53:25+00:00,402.0,50.0,127.0,2329.0,838.0,2018-10-31 22:19:52+00:00,0.2.3,10.0,Deep Learning toolkit for Computer Vision.,27.0,27.0,15.0,21,https://pypi.org/project/luminoth,2018-11-09 21:35:17+00:00,,619.0,910.0,,,,True,3,11068.0,,,,,,,,,,,,,,,,,,,,,,\n460,Porcupine,Picovoice/Porcupine,pvporcupine,,,audio,,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25+00:00,2020-12-15 01:40:26+00:00,2020-12-15 01:40:14+00:00,323.0,6.0,257.0,2252.0,332.0,2020-12-02 15:34:40+00:00,1.9,13.0,On-device wake word detection powered by deep learning.,3.0,3.0,25.0,21,https://pypi.org/project/pvporcupine,2020-10-02 19:16:49+00:00,0.0,669.0,669.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n461,NeMo,NVIDIA/NeMo,nemo-toolkit,,,nlp,['pytorch'],https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42+00:00,2020-12-16 07:51:55+00:00,2020-12-15 17:30:23+00:00,356.0,159.0,230.0,2247.0,,2020-07-10 00:01:18+00:00,0.11.0,36.0,NeMo: a toolkit for conversational AI.,4.0,,64.0,21,https://pypi.org/project/nemo-toolkit,2020-12-11 21:33:53+00:00,4.0,2410.0,2434.0,,,,True,3,372.0,,,,,,,,,,,,,,,,,,,,,,\n462,Texar,asyml/texar,texar,,,nlp,['tensorflow'],https://github.com/asyml/texar,https://github.com/asyml/texar,Apache-2.0,2017-07-22 19:02:05+00:00,2020-09-17 07:03:55+00:00,2020-07-29 00:38:30+00:00,327.0,32.0,126.0,2065.0,1719.0,2019-11-19 04:11:18+00:00,0.2.4,6.0,\"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the..\",14.0,12.0,41.0,21,https://pypi.org/project/texar,2019-11-19 04:11:18+00:00,2.0,131.0,131.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n463,Texthero,jbesomi/texthero,texthero,,,nlp,,https://github.com/jbesomi/texthero,https://github.com/jbesomi/texthero,MIT,2020-04-06 15:16:05+00:00,2020-12-09 16:49:27+00:00,2020-11-03 07:58:36+00:00,177.0,73.0,47.0,2008.0,267.0,2020-07-06 20:32:28+00:00,1.0.9,9.0,\"Text preprocessing, representation and visualization from zero to hero.\",,,18.0,21,https://pypi.org/project/texthero,2020-07-06 20:29:25+00:00,,3528.0,3534.0,,,,True,3,55.0,,,,,,,,,,,,,,,,,,,,,,\n464,TF Ranking,tensorflow/ranking,tensorflow_ranking,,,recommender-systems,['tensorflow'],https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57+00:00,2020-08-29 04:38:20+00:00,2020-08-19 20:44:22+00:00,349.0,21.0,193.0,1980.0,213.0,2020-08-19 21:58:05+00:00,0.3.2,14.0,Learning to Rank in TensorFlow.,1.0,,17.0,21,https://pypi.org/project/tensorflow_ranking,2020-08-19 21:14:13+00:00,1.0,22468.0,22468.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n465,knockknock,huggingface/knockknock,knockknock,,,ml-experiments,,https://github.com/huggingface/knockknock,https://github.com/huggingface/knockknock,MIT,2019-03-20 13:08:55+00:00,2020-07-31 11:55:05+00:00,2020-03-16 04:26:47+00:00,152.0,12.0,21.0,1903.0,75.0,2020-03-04 04:15:47+00:00,0.1.8,10.0,Knock Knock: Get notified when your training ends with only two additional lines of code.,114.0,111.0,18.0,21,https://pypi.org/project/knockknock,2020-03-16 14:30:23+00:00,3.0,1284.0,1284.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n466,Magnitude,plasticityai/magnitude,pymagnitude,,,nn-search,,https://github.com/plasticityai/magnitude,https://github.com/plasticityai/magnitude,MIT,2018-02-24 07:28:16+00:00,2020-07-17 20:19:50+00:00,2020-07-17 20:19:46+00:00,98.0,24.0,50.0,1369.0,350.0,2020-05-25 11:26:36+00:00,0.1.143,128.0,\"A fast, efficient universal vector embedding utility package.\",175.0,161.0,4.0,21,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36+00:00,14.0,4263.0,4263.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n467,DELTA,Delta-ML/delta,delta-nlp,,,nlp,['tensorflow'],https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57+00:00,2020-12-16 12:13:59+00:00,2020-11-25 06:25:10+00:00,269.0,9.0,64.0,1350.0,926.0,2020-07-16 09:31:45+00:00,0.3.3,4.0,DELTA is a deep learning based natural language and speech processing platform.,,,41.0,21,https://pypi.org/project/delta-nlp,2020-03-27 04:46:19+00:00,,34.0,640.0,,,,True,3,,,,zh794390558/delta,https://hub.docker.com/r/zh794390558/delta,2020-12-15 16:44:27.150519+00:00,,11528.0,,,,,,,,,,,,,,,\n468,TensorFlow Privacy,tensorflow/privacy,tensorflow-privacy,,,privacy-ml,['tensorflow'],https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46+00:00,2020-12-14 20:08:20+00:00,2020-12-08 14:12:00+00:00,259.0,39.0,74.0,1282.0,398.0,2020-09-03 01:13:47+00:00,.0.5.1,9.0,Library for training machine learning models with privacy for training data.,1.0,,33.0,21,https://pypi.org/project/tensorflow-privacy,2020-09-03 01:10:15+00:00,1.0,4857.0,4859.0,,,,True,2,41.0,,,,,,,,,,,,,,,,,,,,,,\n469,Neural Tangents,google/neural-tangents,neural-tangents,,,ml-frameworks,,https://github.com/google/neural-tangents,https://github.com/google/neural-tangents,Apache-2.0,2019-04-08 16:48:48+00:00,2020-12-16 07:58:12+00:00,2020-12-16 07:58:04+00:00,133.0,24.0,47.0,1233.0,335.0,2020-11-18 04:34:54+00:00,0.3.5,19.0,Fast and Easy Infinite Neural Networks in Python.,12.0,12.0,16.0,21,https://pypi.org/project/neural-tangents,2020-11-18 04:23:35+00:00,,650.0,659.0,,,,True,3,57.0,,,,,,,,,,,,,,,,,,,,,,\n470,Pypeline,cgarciae/pypeln,pypeln,,,data-pipelines,,https://github.com/cgarciae/pypeln,https://github.com/cgarciae/pypeln,MIT,2018-09-01 13:43:31+00:00,2020-11-14 00:02:17+00:00,2020-11-13 23:36:42+00:00,64.0,11.0,34.0,1183.0,227.0,2020-10-11 21:02:19+00:00,0.4.6,33.0,Concurrent data pipelines in Python .,5.0,,8.0,21,https://pypi.org/project/pypeln,2020-10-11 21:01:30+00:00,5.0,3644.0,3644.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n471,Torchmeta,tristandeleu/pytorch-meta,torchmeta,,,pytorch-utils,['pytorch'],https://github.com/tristandeleu/pytorch-meta,https://github.com/tristandeleu/pytorch-meta,MIT,2018-12-04 23:36:45+00:00,2020-11-25 16:45:01+00:00,2020-11-25 16:41:48+00:00,128.0,17.0,69.0,1135.0,341.0,2020-11-25 16:45:01+00:00,1.6.1,26.0,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.,22.0,22.0,10.0,21,https://pypi.org/project/torchmeta,2020-11-25 16:45:01+00:00,,728.0,728.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n472,TFEncrypted,tf-encrypted/tf-encrypted,tf-encrypted,,,privacy-ml,['tensorflow'],https://github.com/tf-encrypted/tf-encrypted,https://github.com/tf-encrypted/tf-encrypted,Apache-2.0,2018-03-21 18:22:13+00:00,2020-11-19 15:48:03+00:00,2020-08-19 16:56:56+00:00,133.0,161.0,230.0,801.0,595.0,2019-09-27 20:00:01+00:00,0.5.9,35.0,A Framework for Encrypted Machine Learning in TensorFlow.,52.0,44.0,28.0,21,https://pypi.org/project/tf-encrypted,2019-10-21 18:05:53+00:00,8.0,691.0,691.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n473,scikit-cuda,lebedov/scikit-cuda,scikit-cuda,,,gpu-utilities,,https://github.com/lebedov/scikit-cuda,https://github.com/lebedov/scikit-cuda,BSD-3-Clause,2010-09-27 02:02:07+00:00,2020-07-13 12:48:39+00:00,2020-07-13 12:47:46+00:00,154.0,36.0,163.0,780.0,1026.0,2019-05-27 00:29:00+00:00,0.5.3,7.0,Python interface to GPU-powered libraries.,143.0,112.0,44.0,21,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00+00:00,31.0,715.0,715.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n474,AstroML,astroML/astroML,astroML,,,others,['sklearn'],https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50+00:00,2020-09-09 15:52:15+00:00,2020-09-09 15:52:13+00:00,246.0,48.0,80.0,699.0,508.0,2019-10-02 06:32:58+00:00,0.4.1,10.0,\"Machine learning, statistics, and data mining for astronomy and astrophysics.\",187.0,158.0,29.0,21,https://pypi.org/project/astroML,2020-03-23 23:20:49+00:00,29.0,866.0,866.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n475,gmaps,pbugnion/gmaps,gmaps,,,geospatial-data,['jupyter'],https://github.com/pbugnion/gmaps,https://github.com/pbugnion/gmaps,BSD-3-Clause,2014-12-01 09:12:06+00:00,2020-10-13 07:09:18+00:00,2019-07-22 06:22:45+00:00,141.0,63.0,135.0,689.0,1380.0,2019-07-21 08:49:48.715000+00:00,0.9.0,93.0,Google maps for Jupyter notebooks.,38.0,1.0,16.0,21,https://pypi.org/project/gmaps,2019-07-20 07:47:04+00:00,37.0,3727.0,5338.0,,,,False,3,,,,,,,,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715000+00:00,,1611.0,,,,,,,,,,\n476,Madmom,CPJKU/madmom,madmom,,,audio,,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06+00:00,2020-04-14 03:42:18+00:00,2019-12-19 14:46:37+00:00,115.0,43.0,176.0,687.0,1722.0,2018-11-14 14:57:41+00:00,0.16.1,11.0,Python audio and music signal processing library.,117.0,109.0,19.0,21,https://pypi.org/project/madmom,2018-11-14 14:56:22+00:00,8.0,1138.0,1138.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n477,pickleDB,patx/pickledb,pickledb,,,data-containers,,https://github.com/patx/pickledb,https://github.com/patx/pickledb,BSD-3-Clause,2011-10-28 00:04:40+00:00,2020-08-25 09:47:52+00:00,2019-11-15 03:38:30+00:00,91.0,16.0,39.0,522.0,105.0,2019-01-13 22:40:32+00:00,0.9.1,19.0,pickleDB is an open source key-value store using Python's json module.,515.0,413.0,11.0,21,https://pypi.org/project/pickledb,2019-01-13 22:40:32+00:00,102.0,16269.0,16269.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n478,Studio.ml,studioml/studio,studioml,,,ml-experiments,,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28+00:00,2020-12-16 02:46:00+00:00,2020-11-19 20:43:12+00:00,47.0,58.0,187.0,366.0,2297.0,2020-11-19 23:30:00+00:00,0.0.35,170.0,Studio: Simplify and expedite model building process.,2.0,2.0,21.0,21,https://pypi.org/project/studioml,2020-12-16 02:46:00+00:00,,1203.0,1203.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n479,Pandas Summary,mouradmourafiq/pandas-summary,pandas-summary,,,data-containers,['pandas'],https://github.com/mouradmourafiq/pandas-summary,https://github.com/mouradmourafiq/pandas-summary,MIT,2016-03-25 21:59:32+00:00,2019-08-24 21:10:25+00:00,2019-08-24 21:10:24+00:00,33.0,8.0,5.0,357.0,24.0,2016-08-30 07:54:59+00:00,0.0.41,8.0,An extension to pandas dataframes describe function.,559.0,540.0,6.0,21,https://pypi.org/project/pandas-summary,2016-08-30 07:54:59+00:00,19.0,12865.0,12865.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n480,PyNNDescent,lmcinnes/pynndescent,pynndescent,,,nn-search,,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54+00:00,2020-11-28 21:20:02+00:00,2020-11-28 21:19:56+00:00,43.0,26.0,27.0,339.0,453.0,2020-11-19 20:20:48+00:00,0.5.1,20.0,A Python nearest neighbor descent for approximate nearest neighbors.,3.0,,10.0,21,https://pypi.org/project/pynndescent,2020-11-19 20:20:48+00:00,3.0,12118.0,12118.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n481,PyTorch Sparse,rusty1s/pytorch_sparse,torch-sparse,,,pytorch-utils,['pytorch'],https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53+00:00,2020-12-01 08:48:36+00:00,2020-12-01 08:48:19+00:00,39.0,31.0,44.0,321.0,504.0,2020-11-02 10:42:59+00:00,0.6.8,21.0,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,17.0,,11.0,21,https://pypi.org/project/torch-sparse,2020-11-02 10:43:20+00:00,17.0,3830.0,3830.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n482,torch-cluster,rusty1s/pytorch_cluster,torch-cluster,,,graph,['pytorch'],https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06+00:00,2020-12-07 09:11:31+00:00,2020-12-07 09:11:30+00:00,60.0,34.0,37.0,308.0,498.0,2020-10-31 14:42:35+00:00,1.5.8,38.0,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,16.0,,17.0,21,https://pypi.org/project/torch-cluster,2020-10-31 14:42:35+00:00,16.0,2702.0,2702.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n483,NIPY,nipy/nipy,nipy,,,medical-data,,https://github.com/nipy/nipy,https://github.com/nipy/nipy,DSDP,2010-05-02 10:00:33+00:00,2020-11-24 19:22:47+00:00,2020-10-14 22:51:30+00:00,116.0,37.0,104.0,287.0,6371.0,2018-02-19 14:14:08+00:00,0.4.2,6.0,Neuroimaging in Python FMRI analysis package.,29.0,,63.0,21,https://pypi.org/project/nipy,2018-02-19 14:14:08+00:00,29.0,1274.0,1274.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n484,pymap3d,geospace-code/pymap3d,pymap3d,,,geospatial-data,,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03+00:00,2020-11-08 05:25:47+00:00,2020-11-08 05:25:44+00:00,55.0,2.0,22.0,165.0,621.0,2020-09-21 15:20:10+00:00,2.4.3,45.0,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,3.0,,8.0,21,https://pypi.org/project/pymap3d,2020-09-21 15:16:49+00:00,3.0,19732.0,19732.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n485,filedepot,amol-/depot,filedepot,,,db-clients,,https://github.com/amol-/depot,https://github.com/amol-/depot,MIT,2014-06-04 10:27:12+00:00,2020-07-27 18:27:16+00:00,2020-07-27 18:22:42+00:00,32.0,6.0,33.0,119.0,257.0,2020-07-27 18:26:46+00:00,0.8.0,23.0,Toolkit for storing files and attachments in web applications.,303.0,215.0,18.0,21,https://pypi.org/project/filedepot,2020-07-27 18:27:16+00:00,88.0,2183.0,2183.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n486,beautifulsoup4,,beautifulsoup4,,,web-scraping,,,http://www.crummy.com/software/BeautifulSoup/bs4/,MIT,,2020-10-03 15:37:19+00:00,,,,,,,2020-10-03 15:37:19+00:00,4.9.3,33.0,Screen-scraping library.,61666.0,,,21,https://pypi.org/project/beautifulsoup4,2020-10-03 15:37:19+00:00,61666.0,9092310.0,9092310.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n487,Photon,s0md3v/Photon,photon,,,web-scraping,,https://github.com/s0md3v/Photon,https://github.com/s0md3v/Photon,GPL-3.0,2018-03-30 19:38:22+00:00,2020-10-28 14:01:02+00:00,2019-12-06 14:59:47+00:00,983.0,33.0,65.0,7394.0,324.0,2019-04-05 15:15:47+00:00,1.3.0,18.0,Incredibly fast crawler designed for OSINT.,5.0,,21.0,20,https://pypi.org/project/photon,2019-01-25 01:13:36+00:00,5.0,445.0,445.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n488,Apex,NVIDIA/apex,,conda-forge/nvidia-apex,,gpu-utilities,['pytorch'],https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52+00:00,2020-12-04 10:59:26+00:00,2020-12-04 10:59:25+00:00,656.0,425.0,359.0,4855.0,826.0,,,,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,403.0,403.0,76.0,20,,,,,,https://anaconda.org/conda-forge/nvidia-apex,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n489,cuDF,rapidsai/cudf,cudf,,,gpu-utilities,,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37+00:00,2020-12-16 12:36:06+00:00,2020-12-16 07:07:26+00:00,463.0,545.0,2670.0,3538.0,,2020-12-10 17:28:54+00:00,0.17.0,5.0,cuDF - GPU DataFrame Library.,2.0,,197.0,20,https://pypi.org/project/cudf,2020-06-01 20:07:47+00:00,2.0,793.0,793.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n490,DeepMatcher,anhaidgroup/deepmatcher,deepmatcher,,,nlp,,https://github.com/anhaidgroup/deepmatcher,https://github.com/anhaidgroup/deepmatcher,BSD-3-Clause,2017-12-01 19:01:11+00:00,2020-09-27 17:25:56+00:00,2020-04-20 02:34:24+00:00,1248.0,47.0,15.0,3315.0,169.0,2019-12-30 19:49:33+00:00,0.1.1,9.0,Python package for performing Entity and Text Matching using Deep Learning.,9.0,9.0,7.0,20,https://pypi.org/project/deepmatcher,2019-12-30 19:49:33+00:00,,342.0,342.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n491,MindsDB,mindsdb/mindsdb,mindsdb,,,ml-frameworks,['pytorch'],https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,GPL-3.0,2018-08-02 17:56:45+00:00,2020-12-16 11:44:27+00:00,2020-12-11 12:36:29+00:00,403.0,36.0,452.0,3085.0,,2020-12-11 13:08:38+00:00,2.15.0,42.0,Predictive AI layer for existing databases.,3.0,,54.0,20,https://pypi.org/project/mindsdb,2019-03-19 05:07:23+00:00,3.0,1747.0,1747.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n492,TRFL,deepmind/trfl,trfl,,,reinforcement-learning,['tensorflow'],https://github.com/deepmind/trfl,https://github.com/deepmind/trfl,Apache-2.0,2018-08-08 14:44:11+00:00,2020-11-06 04:44:44+00:00,2020-04-20 13:05:56+00:00,363.0,4.0,16.0,3051.0,116.0,2020-04-20 14:11:57+00:00,1.1.0,4.0,TensorFlow Reinforcement Learning.,37.0,35.0,12.0,20,https://pypi.org/project/trfl,2020-04-20 14:11:57+00:00,2.0,807.0,807.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n493,AutoScraper,alirezamika/autoscraper,autoscraper,,,web-scraping,,https://github.com/alirezamika/autoscraper,https://github.com/alirezamika/autoscraper,MIT,2020-08-31 12:02:19+00:00,2020-12-15 09:03:03+00:00,2020-12-15 09:03:02+00:00,284.0,3.0,23.0,3049.0,124.0,2020-11-29 13:02:41+00:00,1.1.10,13.0,\"A Smart, Automatic, Fast and Lightweight Web Scraper for Python.\",14.0,14.0,6.0,20,https://pypi.org/project/autoscraper,2020-11-29 13:03:11+00:00,,794.0,794.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n494,Profiling,what-studio/profiling,profiling,,,system-monitoring,,https://github.com/what-studio/profiling,https://github.com/what-studio/profiling,BSD-3-Clause,2014-09-03 10:35:57+00:00,2020-08-24 01:31:58+00:00,2020-08-24 01:31:58+00:00,113.0,15.0,20.0,3001.0,433.0,2017-06-28 06:10:16+00:00,0.1.3,3.0,Was an interactive continuous Python profiler.,34.0,29.0,18.0,20,https://pypi.org/project/profiling,2017-06-28 06:10:16+00:00,5.0,2679.0,2679.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n495,DALI,NVIDIA/DALI,,,,gpu-utilities,,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01+00:00,2020-12-16 10:31:58+00:00,2020-12-14 21:39:12+00:00,355.0,174.0,571.0,2984.0,1634.0,2020-11-30 15:46:55+00:00,0.28.0,34.0,A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep..,,,53.0,20,,,,,,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n496,AdaBound,Luolc/AdaBound,adabound,,,pytorch-utils,['pytorch'],https://github.com/Luolc/AdaBound,https://github.com/Luolc/AdaBound,Apache-2.0,2019-02-15 18:05:20+00:00,2019-03-06 17:01:52+00:00,2019-03-06 17:01:45+00:00,317.0,16.0,7.0,2818.0,27.0,2019-03-06 16:44:42+00:00,0.0.5,4.0,An optimizer that trains as fast as Adam and as good as SGD.,97.0,91.0,2.0,20,https://pypi.org/project/adabound,2019-02-26 04:23:45+00:00,6.0,1164.0,1164.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,\n497,SHOGUN,shogun-toolbox/shogun,shogun-ml,,,ml-frameworks,,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32+00:00,2020-12-15 01:56:45+00:00,2020-12-08 16:56:38+00:00,1013.0,544.0,1068.0,2771.0,16205.0,2019-07-05 10:23:31+00:00,shogun_6.1.4,10.0,The Shogun Machine Learning Toolbox.,,,248.0,20,https://pypi.org/project/shogun-ml,2018-10-23 02:36:25.133000+00:00,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n498,FATE,FederatedAI/FATE,,,,privacy-ml,,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43+00:00,2020-12-16 03:39:36+00:00,2020-12-15 13:24:08+00:00,752.0,242.0,518.0,2617.0,6587.0,2020-11-13 13:36:14+00:00,1.5.0,24.0,An Industrial Grade Federated Learning Framework.,,,50.0,20,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n499,BytePS,bytedance/byteps,byteps,,,distributed-ml,,https://github.com/bytedance/byteps,https://github.com/bytedance/byteps,Apache-2.0,2019-06-25 07:00:13+00:00,2020-12-14 06:23:38+00:00,2020-12-06 21:02:44+00:00,356.0,68.0,128.0,2572.0,407.0,2020-08-27 15:42:13+00:00,0.2.4,7.0,A high performance and generic framework for distributed DNN training.,,,16.0,20,https://pypi.org/project/byteps,2020-11-04 00:05:46+00:00,,230.0,281.0,,,,True,3,,,,bytepsimage/tensorflow,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610+00:00,,924.0,,,,,,,,,,,,,,,\n500,StreamAlert,airbnb/streamalert,,,,others,,https://github.com/airbnb/streamalert,https://github.com/airbnb/streamalert,Apache-2.0,2017-01-22 01:10:56+00:00,2020-10-27 21:18:35+00:00,2020-10-05 21:15:11+00:00,281.0,90.0,247.0,2423.0,1892.0,2020-10-05 21:50:56+00:00,3.4.1,27.0,\"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data..\",,,30.0,20,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n501,finmarketpy,cuemacro/finmarketpy,finmarketpy,,,financial-data,,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03+00:00,2020-12-02 18:18:09+00:00,2020-12-02 18:18:01+00:00,411.0,21.0,3.0,2404.0,635.0,2020-10-20 09:25:52+00:00,0.11.7,8.0,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,3.0,3.0,13.0,20,https://pypi.org/project/finmarketpy,2020-10-20 09:28:00+00:00,,89.0,89.0,,,,True,3,39.0,,,,,,,,,,,,,,,,,,,,,,\n502,DeepVariant,google/deepvariant,,bioconda/deepvariant,,medical-data,['tensorflow'],https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22+00:00,2020-12-14 23:35:28+00:00,2020-12-14 23:35:27+00:00,518.0,3.0,358.0,2137.0,1503.0,2020-12-07 17:56:31+00:00,1.1.0,15.0,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,,,19.0,20,,,,,80.0,https://anaconda.org/bioconda/deepvariant,,,True,3,2904.0,,,,,,,,,,,,,,,,,,,,,,\n503,TensorTrade,tensortrade-org/tensortrade,tensortrade,,,financial-data,,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32+00:00,2020-12-13 05:03:21+00:00,2020-09-17 13:33:31+00:00,524.0,33.0,106.0,1990.0,823.0,,,25.0,\"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.\",9.0,8.0,42.0,20,https://pypi.org/project/tensortrade,2020-08-24 18:26:46+00:00,1.0,665.0,665.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n504,Kashgari,BrikerMan/Kashgari,kashgari-tf,,,nlp,['tensorflow'],https://github.com/BrikerMan/Kashgari,https://github.com/BrikerMan/Kashgari,Apache-2.0,2019-01-19 01:53:28+00:00,2020-12-09 02:13:33+00:00,2020-10-29 08:08:00+00:00,370.0,29.0,296.0,1963.0,,2020-10-30 12:37:01+00:00,2.0.1,23.0,Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-..,20.0,19.0,19.0,20,https://pypi.org/project/kashgari-tf,2019-06-26 12:27:50+00:00,1.0,237.0,237.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n505,PARL,PaddlePaddle/PARL,parl,,,reinforcement-learning,['paddle'],https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22+00:00,2020-12-16 11:05:53+00:00,2020-12-15 04:23:45+00:00,393.0,35.0,139.0,1726.0,1.0,2020-11-17 12:11:06+00:00,1.3.3,14.0,A high-performance distributed training framework for Reinforcement Learning.,65.0,65.0,20.0,20,https://pypi.org/project/parl,2020-11-17 12:11:06+00:00,,491.0,491.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n506,pgmpy,pgmpy/pgmpy,pgmpy,,,probabilistics,,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58+00:00,2020-12-12 22:04:27+00:00,2020-12-12 22:04:27+00:00,538.0,225.0,484.0,1648.0,6.0,2020-09-30 14:12:15+00:00,0.1.12,10.0,Python Library for learning (Structure and Parameter) and inference (Statistical and Causal) in Bayesian Networks.,173.0,167.0,87.0,20,https://pypi.org/project/pgmpy,2020-06-30 12:59:43+00:00,6.0,,5.0,,,,True,3,32.0,,,,,,,,,,,,,,,,,,,,,,\n507,auto_ml,ClimbsRocks/auto_ml,auto_ml,,,hyperopt,,https://github.com/ClimbsRocks/auto_ml,https://github.com/ClimbsRocks/auto_ml,MIT,2016-08-07 21:35:08+00:00,2020-05-19 22:45:27+00:00,2018-03-25 19:46:25+00:00,283.0,176.0,215.0,1505.0,1149.0,2018-02-22 01:13:03+00:00,2.9.10,78.0,[UNMAINTAINED] Automated machine learning for analytics & production.,1.0,,13.0,20,https://pypi.org/project/auto_ml,2018-02-22 01:13:03+00:00,1.0,2156.0,2156.0,,,,False,3,33.0,,,,,,,,,,,,,,,,,,,,,,\n508,AmpliGraph,Accenture/AmpliGraph,ampligraph,,,graph,['tensorflow'],https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05+00:00,2020-08-25 17:19:24+00:00,2020-08-25 17:00:58+00:00,151.0,18.0,155.0,1382.0,895.0,2020-08-25 17:06:46+00:00,1.3.2,11.0,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,9.0,9.0,14.0,20,https://pypi.org/project/ampligraph,2020-08-25 16:59:58+00:00,,793.0,793.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n509,cleanlab,cgnorthcutt/cleanlab,cleanlab,,,others,,https://github.com/cgnorthcutt/cleanlab,https://github.com/cgnorthcutt/cleanlab,MIT,2018-05-11 01:55:21+00:00,2020-12-11 06:18:10+00:00,2020-12-11 06:18:09+00:00,147.0,16.0,35.0,1367.0,695.0,2020-02-17 07:33:06+00:00,0.1.1,15.0,The standard package for machine learning with noisy labels and finding mislabeled data in Python.,8.0,8.0,5.0,20,https://pypi.org/project/cleanlab,2020-02-17 07:33:06+00:00,,2045.0,2045.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n510,TFX,tensorflow/tfx,tfx,,,data-pipelines,['tensorflow'],https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36+00:00,2020-12-16 07:06:39+00:00,2020-12-16 07:06:29+00:00,363.0,200.0,300.0,1261.0,2942.0,2020-11-19 20:19:41+00:00,0.25.0,36.0,TFX is an end-to-end platform for deploying production ML pipelines.,2.0,,94.0,20,https://pypi.org/project/tfx,2020-11-19 21:33:15+00:00,2.0,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n511,ThunderSVM,Xtra-Computing/thundersvm,thundersvm,,,ml-frameworks,,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04+00:00,2020-12-14 03:08:11+00:00,2020-12-14 03:08:11+00:00,163.0,41.0,144.0,1246.0,896.0,2020-03-13 12:36:30+00:00,0.3.12,9.0,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,,,33.0,20,https://pypi.org/project/thundersvm,2020-03-13 12:36:30+00:00,,372.0,413.0,,,,True,3,2052.0,,,,,,,,,,,,,,,,,,,,,,\n512,db.py,yhat/db.py,db.py,,,db-clients,,https://github.com/yhat/db.py,https://github.com/yhat/db.py,BSD-2-Clause,2014-10-26 15:36:57+00:00,2019-12-13 18:00:10+00:00,2017-03-31 14:41:30+00:00,110.0,32.0,21.0,1205.0,233.0,2017-03-31 14:41:57+00:00,0.5.3,35.0,db.py is an easier way to interact with your databases.,19.0,,24.0,20,https://pypi.org/project/db.py,2017-03-31 14:41:57+00:00,19.0,774.0,774.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n513,tensorrec,jfkirk/tensorrec,tensorrec,,,recommender-systems,['tensorflow'],https://github.com/jfkirk/tensorrec,https://github.com/jfkirk/tensorrec,Apache-2.0,2017-02-28 18:51:11+00:00,2020-07-30 02:47:12+00:00,2020-02-04 21:10:25+00:00,204.0,32.0,90.0,1112.0,334.0,2019-04-02 00:53:47+00:00,0.26.2,30.0,A TensorFlow recommendation algorithm and framework in Python.,22.0,21.0,8.0,20,https://pypi.org/project/tensorrec,2019-04-02 00:53:47+00:00,1.0,1074.0,1074.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n514,Karate Club,benedekrozemberczki/karateclub,karateclub,,,graph,,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56+00:00,2020-12-12 23:04:26+00:00,2020-12-12 23:04:20+00:00,128.0,,46.0,1078.0,2093.0,2020-12-01 21:11:27+00:00,_10022,95.0,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,17.0,17.0,11.0,20,https://pypi.org/project/karateclub,2020-12-01 21:08:09+00:00,,5014.0,5014.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,\n515,datatable,h2oai/datatable,datatable,,,data-containers,,https://github.com/h2oai/datatable,https://github.com/h2oai/datatable,MPL-2.0,2017-03-03 02:32:59+00:00,2020-12-16 00:28:14+00:00,2020-12-15 19:03:26+00:00,92.0,112.0,1098.0,1065.0,,2020-12-10 09:10:50+00:00,0.11.1,15.0,A Python package for manipulating 2-dimensional tabular data structures.,6.0,,28.0,20,https://pypi.org/project/datatable,2020-12-10 08:04:03+00:00,6.0,13475.0,13492.0,,,,True,3,684.0,,,,,,,,,,,,,,,,,,,,,,\n516,FARM,deepset-ai/FARM,farm,,,nlp,['pytorch'],https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12+00:00,2020-12-16 11:41:17+00:00,2020-12-14 13:59:24+00:00,144.0,32.0,274.0,1048.0,504.0,2020-10-30 16:51:53+00:00,0.5.0,19.0,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,1.0,,28.0,20,https://pypi.org/project/farm,2020-10-30 16:14:35+00:00,1.0,7001.0,7001.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n517,Classy Vision,facebookresearch/ClassyVision,classy_vision,conda-forge/classy_vision,,image,['pytorch'],https://github.com/facebookresearch/ClassyVision,https://github.com/facebookresearch/ClassyVision,MIT,2019-09-13 22:54:44+00:00,2020-12-15 07:30:00+00:00,2020-12-15 07:29:55+00:00,177.0,46.0,39.0,985.0,307.0,2020-11-20 16:42:56+00:00,0.5.0,15.0,An end-to-end PyTorch framework for image and video classification.,,,47.0,20,https://pypi.org/project/classy_vision,2020-11-20 21:02:29+00:00,,696.0,696.0,https://anaconda.org/conda-forge/classy_vision,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n518,Sockeye,awslabs/sockeye,sockeye,,,nlp,['mxnet'],https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30+00:00,2020-12-14 11:06:21+00:00,2020-12-14 11:06:20+00:00,287.0,18.0,217.0,977.0,729.0,2020-11-18 13:41:36+00:00,2.3.2,59.0,Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet.,2.0,,52.0,20,https://pypi.org/project/sockeye,2020-11-05 14:07:57+00:00,2.0,647.0,647.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n519,TensorNets,taehoonlee/tensornets,tensornets,,,tensorflow-utils,['tensorflow'],https://github.com/taehoonlee/tensornets,https://github.com/taehoonlee/tensornets,MIT,2017-09-19 05:19:01+00:00,2020-10-03 09:19:27+00:00,2020-10-03 09:19:17+00:00,181.0,14.0,42.0,962.0,283.0,2020-03-31 04:38:27+00:00,0.4.6,12.0,High level network definitions with pre-trained weights in TensorFlow.,29.0,27.0,6.0,20,https://pypi.org/project/tensornets,2020-03-31 04:35:15+00:00,2.0,290.0,290.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n520,gplearn,trevorstephens/gplearn,gplearn,,,others,['sklearn'],https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14+00:00,2020-02-15 08:12:38+00:00,2020-02-15 08:12:17+00:00,149.0,26.0,114.0,894.0,146.0,2019-06-01 02:04:52+00:00,0.4.1,5.0,\"Genetic Programming in Python, with a scikit-learn inspired API.\",118.0,111.0,10.0,20,https://pypi.org/project/gplearn,2019-06-01 02:04:52+00:00,7.0,1218.0,1218.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n521,geoplotlib,andrea-cuttone/geoplotlib,geoplotlib,,,geospatial-data,,https://github.com/andrea-cuttone/geoplotlib,https://github.com/andrea-cuttone/geoplotlib,MIT,2015-02-24 13:13:07+00:00,2020-04-10 20:00:31+00:00,2019-05-06 07:06:50+00:00,142.0,23.0,18.0,884.0,159.0,2016-07-27 14:55:01+00:00,0.3.2,4.0,python toolbox for visualizing geographical data and making maps.,93.0,84.0,8.0,20,https://pypi.org/project/geoplotlib,2016-07-27 14:55:01+00:00,9.0,1594.0,1594.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n522,Haiku,deepmind/dm-haiku,,,,ml-frameworks,,https://github.com/deepmind/dm-haiku,https://github.com/deepmind/dm-haiku,Apache-2.0,2020-02-18 07:14:02+00:00,2020-12-14 19:30:49+00:00,2020-12-14 19:30:10+00:00,56.0,18.0,44.0,851.0,422.0,2020-11-24 11:25:05+00:00,0.0.3,5.0,JAX-based neural network library.,49.0,49.0,32.0,20,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n523,Paddle Graph Learning,PaddlePaddle/PGL,pgl,,,graph,['paddle'],https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28+00:00,2020-12-16 07:15:21+00:00,2020-12-14 07:02:53+00:00,109.0,14.0,26.0,841.0,349.0,2020-11-20 06:23:47+00:00,1.2.1,6.0,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,10.0,9.0,17.0,20,https://pypi.org/project/pgl,2020-11-20 06:23:47+00:00,1.0,944.0,944.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n524,keract,philipperemy/keract,keract,,,interpretability,['keras'],https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57+00:00,2020-11-12 02:21:05+00:00,2020-11-12 02:21:04+00:00,172.0,2.0,70.0,837.0,324.0,2020-09-09 02:29:02+00:00,4.3.3,35.0,Activation Maps (Layers Outputs) and Gradients in Keras.,66.0,61.0,15.0,20,https://pypi.org/project/keract,2020-11-06 08:09:00+00:00,5.0,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n525,Fiber,uber/fiber,fiber,,,distributed-ml,,https://github.com/uber/fiber,https://github.com/uber/fiber,Apache-2.0,2020-01-07 18:16:24+00:00,2020-10-06 14:39:41+00:00,2020-10-06 14:39:12+00:00,85.0,11.0,5.0,827.0,60.0,2020-07-09 03:28:28+00:00,0.2.1,6.0,Distributed Computing for AI Made Simple.,18.0,17.0,5.0,20,https://pypi.org/project/fiber,2020-07-09 03:28:28+00:00,1.0,1749.0,1749.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n526,tf-explain,sicara/tf-explain,tf-explain,,,interpretability,['tensorflow'],https://github.com/sicara/tf-explain,https://github.com/sicara/tf-explain,MIT,2019-07-15 08:26:24+00:00,2020-11-03 07:30:20+00:00,2020-07-24 08:03:58+00:00,66.0,33.0,41.0,742.0,192.0,2020-02-14 09:00:00+00:00,0.2.1,6.0,Interpretability Methods for tf.keras models with Tensorflow 2.x.,56.0,55.0,11.0,20,https://pypi.org/project/tf-explain,2020-02-14 09:04:51+00:00,1.0,1088.0,1088.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n527,iNNvestigate,albermax/innvestigate,innvestigate,,,interpretability,['keras'],https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20+00:00,2020-11-14 11:35:59+00:00,2020-10-16 15:26:56+00:00,168.0,71.0,126.0,735.0,882.0,2019-03-19 14:31:31+00:00,1.0.9,2.0,A toolbox to iNNvestigate neural networks' predictions!.,41.0,40.0,18.0,20,https://pypi.org/project/innvestigate,2020-11-14 11:35:59+00:00,1.0,583.0,583.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n528,keras-ocr,faustomorales/keras-ocr,keras-ocr,,,ocr,,https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50+00:00,2020-12-11 02:31:17+00:00,2020-11-26 17:18:25+00:00,162.0,25.0,94.0,723.0,161.0,2020-11-26 17:19:39+00:00,0.8.6,26.0,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,1.0,,9.0,20,https://pypi.org/project/keras-ocr,2020-11-26 17:19:39+00:00,1.0,2024.0,5279.0,,,,True,3,9765.0,,,,,,,,,,,,,,,,,,,,,,\n529,YouTokenToMe,vkcom/youtokentome,youtokentome,,,nlp,,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28+00:00,2020-10-01 23:24:11+00:00,2020-02-13 09:49:37+00:00,42.0,21.0,20.0,697.0,76.0,2020-02-13 09:57:47+00:00,1.0.6,14.0,Unsupervised text tokenizer focused on computational efficiency.,94.0,88.0,6.0,20,https://pypi.org/project/youtokentome,2020-02-12 18:24:46+00:00,6.0,7166.0,7166.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n530,Opacus,pytorch/opacus,opacus,,,privacy-ml,['pytorch'],https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09+00:00,2020-12-15 23:14:32+00:00,2020-12-15 23:08:38+00:00,83.0,9.0,45.0,681.0,188.0,2020-11-21 20:55:19+00:00,0.10.1,5.0,Training PyTorch models with differential privacy.,9.0,9.0,23.0,20,https://pypi.org/project/opacus,2020-11-21 20:55:50+00:00,,865.0,868.0,,,,True,3,27.0,,,,,,,,,,,,,,,,,,,,,,\n531,Darts,unit8co/darts,u8darts,,,time-series-data,,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28+00:00,2020-12-15 13:12:30+00:00,2020-11-09 15:33:02+00:00,79.0,14.0,38.0,669.0,284.0,2020-11-09 16:00:41+00:00,0.5.0,8.0,A python library for easy manipulation and forecasting of time series.,9.0,9.0,23.0,20,https://pypi.org/project/u8darts,2020-11-09 16:00:41+00:00,,880.0,882.0,,,,True,3,,,,unit8/darts,https://hub.docker.com/r/unit8/darts,2020-10-06 11:35:55.085411+00:00,,75.0,,,,,,,,,,,,,,,\n532,mlens,flennerhag/mlens,mlens,,,others,,https://github.com/flennerhag/mlens,https://github.com/flennerhag/mlens,MIT,2017-01-10 20:53:47+00:00,2020-02-25 14:32:48+00:00,2020-02-25 14:31:53+00:00,81.0,8.0,73.0,664.0,879.0,2018-10-30 22:34:35+00:00,0.2.3,14.0,ML-Ensemble high performance ensemble learning.,92.0,92.0,7.0,20,https://pypi.org/project/mlens,2018-10-30 22:30:43+00:00,,1464.0,1464.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n533,TabNet,dreamquark-ai/tabnet,pytorch-tabnet,,,pytorch-utils,['pytorch'],https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32+00:00,2020-12-15 23:48:46+00:00,2020-12-15 12:44:06+00:00,127.0,30.0,90.0,662.0,158.0,2020-12-15 12:44:24+00:00,3.0.0,15.0,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,,,16.0,20,https://pypi.org/project/pytorch-tabnet,2020-12-15 12:44:24+00:00,,8512.0,8512.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n534,NeuPy,itdxer/neupy,neupy,,,ml-frameworks,,https://github.com/itdxer/neupy,https://github.com/itdxer/neupy,MIT,2015-08-24 19:45:11+00:00,2020-01-15 08:04:33+00:00,2019-09-02 19:02:38+00:00,143.0,26.0,229.0,657.0,1145.0,2019-04-04 19:44:59+00:00,0.8.2,34.0,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,108.0,98.0,6.0,20,https://pypi.org/project/neupy,2019-04-04 19:43:06+00:00,10.0,896.0,896.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n535,NearPy,pixelogik/NearPy,NearPy,,,nn-search,,https://github.com/pixelogik/NearPy,https://github.com/pixelogik/NearPy,MIT,2013-04-25 09:10:26+00:00,2020-02-17 20:24:08+00:00,2018-10-21 17:54:28+00:00,135.0,21.0,38.0,656.0,159.0,2016-09-27 13:04:44+00:00,1.0.0,8.0,\"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..\",62.0,47.0,18.0,20,https://pypi.org/project/NearPy,2016-09-27 13:03:12+00:00,15.0,1838.0,1838.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n536,RecBole,RUCAIBox/RecBole,recbole,aibox/recbole,,recommender-systems,['pytorch'],https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11+00:00,2020-12-16 09:26:08+00:00,2020-12-15 10:23:00+00:00,84.0,15.0,11.0,641.0,2179.0,2020-12-06 08:33:29+00:00,0.1.2,3.0,\"A unified, comprehensive and efficient recommendation library.\",,,21.0,20,https://pypi.org/project/recbole,2020-12-06 08:38:29+00:00,,190.0,190.0,https://anaconda.org/aibox/recbole,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n537,TensorBoard Logger,TeamHG-Memex/tensorboard_logger,tensorboard_logger,,,ml-experiments,,https://github.com/TeamHG-Memex/tensorboard_logger,https://github.com/TeamHG-Memex/tensorboard_logger,MIT,2016-10-27 14:02:25+00:00,2020-10-27 20:51:06+00:00,2019-10-21 07:52:07+00:00,53.0,9.0,15.0,609.0,46.0,2018-02-08 07:28:51+00:00,0.1.0,5.0,Log TensorBoard events without touching TensorFlow.,42.0,,5.0,20,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51+00:00,42.0,52730.0,52730.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n538,pdpipe,pdpipe/pdpipe,pdpipe,,,data-pipelines,['pandas'],https://github.com/pdpipe/pdpipe,https://github.com/pdpipe/pdpipe,MIT,2017-01-24 20:37:22+00:00,2020-11-17 08:57:21+00:00,2020-11-17 08:57:20+00:00,29.0,6.0,14.0,574.0,341.0,2020-11-09 09:32:37+00:00,0.0.53,49.0,Easy pipelines for pandas DataFrames.,21.0,21.0,8.0,20,https://pypi.org/project/pdpipe,2020-11-09 09:32:37+00:00,,914.0,914.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n539,torch-scatter,rusty1s/pytorch_scatter,torch-scatter,,,pytorch-utils,['pytorch'],https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23+00:00,2020-12-11 20:40:45+00:00,2020-12-01 08:40:47+00:00,71.0,55.0,101.0,557.0,803.0,2020-06-24 09:29:12+00:00,2.0.5,24.0,PyTorch Extension Library of Optimized Scatter Operations.,16.0,,13.0,20,https://pypi.org/project/torch-scatter,2020-02-22 16:51:10+00:00,16.0,4507.0,4507.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,\n540,Mapbox GL,mapbox/mapboxgl-jupyter,mapboxgl,,,geospatial-data,['jupyter'],https://github.com/mapbox/mapboxgl-jupyter,https://github.com/mapbox/mapboxgl-jupyter,MIT,2017-08-08 15:10:51+00:00,2019-12-13 22:49:07+00:00,2019-12-03 21:57:25+00:00,117.0,34.0,67.0,549.0,220.0,2019-06-03 21:24:10+00:00,0.10.2,20.0,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,101.0,83.0,20.0,20,https://pypi.org/project/mapboxgl,2019-06-02 15:18:57+00:00,18.0,7019.0,7019.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n541,gazpacho,maxhumber/gazpacho,gazpacho,,,web-scraping,,https://github.com/maxhumber/gazpacho,https://github.com/maxhumber/gazpacho,MIT,2019-09-23 20:21:55+00:00,2020-10-31 18:03:20+00:00,2020-10-31 18:03:19+00:00,46.0,3.0,29.0,497.0,142.0,2020-10-09 12:51:41+00:00,1.1,18.0,\"The simple, fast, and modern web scraping library.\",76.0,74.0,13.0,20,https://pypi.org/project/gazpacho,2020-09-24 17:50:19+00:00,2.0,1784.0,1784.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n542,N2,kakao/n2,n2,,,nn-search,,https://github.com/kakao/n2,https://github.com/kakao/n2,Apache-2.0,2017-11-23 02:27:59+00:00,2020-10-21 05:15:27+00:00,2020-10-21 05:14:11+00:00,51.0,17.0,20.0,441.0,242.0,2020-10-16 03:43:47+00:00,0.1.7,8.0,TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets.,14.0,12.0,17.0,20,https://pypi.org/project/n2,2020-10-16 02:48:11+00:00,2.0,499.0,499.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n543,pivottablejs,nicolaskruchten/jupyter_pivottablejs,pivottablejs,,,data-viz,['jupyter'],https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,MIT,2015-09-09 13:39:18+00:00,2018-12-04 14:43:26+00:00,2018-12-04 14:43:25+00:00,53.0,16.0,37.0,407.0,32.0,2018-01-15 18:14:37+00:00,0.9.0,10.0,\"Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js.\",143.0,129.0,3.0,20,https://pypi.org/project/pivottablejs,2018-01-15 18:14:37+00:00,14.0,9097.0,9097.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n544,PyWaffle,gyli/PyWaffle,pywaffle,,,data-viz,,https://github.com/gyli/PyWaffle,https://github.com/gyli/PyWaffle,MIT,2017-11-14 20:03:47+00:00,2020-07-26 23:22:17+00:00,2020-07-26 23:22:13+00:00,59.0,2.0,10.0,367.0,249.0,2020-07-26 19:16:45+00:00,0.6.1,22.0,Make Waffle Charts in Python.,37.0,37.0,6.0,20,https://pypi.org/project/pywaffle,2020-07-26 19:16:45+00:00,,1398.0,1398.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n545,BioPandas,rasbt/biopandas,biopandas,conda-forge/biopandas,,others,['pandas'],https://github.com/rasbt/biopandas,https://github.com/rasbt/biopandas,BSD-3-Clause,2015-11-21 00:00:14+00:00,2020-11-09 18:19:23+00:00,2020-11-09 18:19:22+00:00,75.0,16.0,18.0,309.0,142.0,2020-08-04 13:52:27+00:00,0.2.7,11.0,Working with molecular structures in pandas DataFrames.,49.0,46.0,7.0,20,https://pypi.org/project/biopandas,2020-08-04 13:49:59+00:00,3.0,373.0,373.0,https://anaconda.org/conda-forge/biopandas,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n546,MedPy,loli/medpy,MedPy,,,medical-data,,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34+00:00,2020-05-01 15:25:39+00:00,2020-05-01 15:25:38+00:00,105.0,8.0,65.0,306.0,324.0,2019-02-14 17:12:59+00:00,0.4.0,6.0,Medical image processing in Python.,212.0,205.0,13.0,20,https://pypi.org/project/MedPy,2019-02-14 17:12:59+00:00,7.0,3237.0,3237.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n547,Labml,lab-ml/labml,labml,,,ml-experiments,,https://github.com/lab-ml/labml,https://github.com/lab-ml/labml,MIT,2018-11-16 09:34:48+00:00,2020-12-16 06:26:59+00:00,2020-12-16 06:26:19+00:00,27.0,,6.0,301.0,833.0,2020-12-16 06:26:59+00:00,0.4.71,48.0,Monitor PyTorch & TensorFlow model training on mobile phones.,18.0,18.0,5.0,20,https://pypi.org/project/labml,2020-12-16 06:26:59+00:00,0.0,591.0,591.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n548,sklearn-evaluation,edublancas/sklearn-evaluation,sklearn-evaluation,,,interpretability,['sklearn'],https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2015-09-04 16:33:42+00:00,2020-12-15 17:34:30+00:00,2020-12-15 17:33:52+00:00,25.0,7.0,27.0,285.0,469.0,2020-12-15 17:36:29+00:00,0.5.3,15.0,\"scikit-learn model evaluation made easy: plots, tables and markdown reports.\",27.0,25.0,5.0,20,https://pypi.org/project/sklearn-evaluation,2020-12-15 17:34:30+00:00,2.0,404.0,404.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n549,Submit it,facebookincubator/submitit,submitit,conda-forge/submitit,,distributed-ml,,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09+00:00,2020-12-11 22:17:21+00:00,2020-12-04 13:12:27+00:00,16.0,8.0,12.0,264.0,33.0,2020-11-19 12:53:49+00:00,1.1.5,8.0,Python 3.6+ toolbox for submitting jobs to Slurm.,67.0,67.0,8.0,20,https://pypi.org/project/submitit,2020-12-01 08:14:16+00:00,0.0,1496.0,1496.0,https://anaconda.org/conda-forge/submitit,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n550,AutoViz,AutoViML/AutoViz,autoviz,,,data-viz,,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06+00:00,2020-12-10 02:33:19+00:00,2020-12-10 02:30:26+00:00,54.0,3.0,16.0,263.0,96.0,2020-12-10 02:33:19+00:00,0.0.81,26.0,\"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..\",24.0,24.0,10.0,20,https://pypi.org/project/autoviz,2020-12-10 02:33:19+00:00,,1364.0,1364.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n551,recmetrics,statisticianinstilettos/recmetrics,recmetrics,,,recommender-systems,,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49+00:00,2020-12-03 21:21:02+00:00,2020-12-03 21:21:00+00:00,52.0,7.0,7.0,216.0,233.0,2019-02-10 16:12:38+00:00,0.0.9,11.0,A library of metrics for evaluating recommender systems.,13.0,13.0,12.0,20,https://pypi.org/project/recmetrics,2019-02-10 16:12:38+00:00,,1345.0,1345.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n552,StaticFrame,InvestmentSystems/static-frame,static-frame,conda-forge/static-frame,,data-containers,,https://github.com/InvestmentSystems/static-frame,https://github.com/InvestmentSystems/static-frame,MIT,2018-01-03 15:07:52+00:00,2020-12-15 01:26:53+00:00,2020-12-15 01:21:19+00:00,20.0,30.0,229.0,205.0,2124.0,2020-12-14 17:20:49+00:00,0.7.8,90.0,\"The StaticFrame library defines the Series and Frame, immutable data structures for one- and two-dimensional..\",5.0,5.0,14.0,20,https://pypi.org/project/static-frame,2020-12-01 04:29:56+00:00,,2633.0,2633.0,https://anaconda.org/conda-forge/static-frame,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n553,stop-words,Alir3z4/python-stop-words,stop-words,,,nlp,,https://github.com/Alir3z4/python-stop-words,https://github.com/Alir3z4/python-stop-words,BSD-3-Clause,2014-05-26 06:44:03+00:00,2019-10-16 15:01:43+00:00,2018-07-23 21:04:09+00:00,19.0,3.0,9.0,120.0,90.0,2018-07-23 20:58:34+00:00,2018.7.23,8.0,Get list of common stop words in various languages in Python.,1231.0,1027.0,8.0,20,https://pypi.org/project/stop-words,2018-07-23 20:55:55+00:00,204.0,43987.0,43987.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n554,cortex,cortexlabs/cortex,,,,model-serialisation,,https://github.com/cortexlabs/cortex,https://github.com/cortexlabs/cortex,Apache-2.0,2019-01-24 04:43:14+00:00,2020-12-16 08:06:06+00:00,2020-12-15 23:58:03+00:00,531.0,210.0,629.0,7051.0,1698.0,2020-12-13 05:18:57+00:00,0.24.1,42.0,Run inference at scale.,,,17.0,19,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n555,graph-nets,deepmind/graph_nets,graph-nets,,,graph,['tensorflow'],https://github.com/deepmind/graph_nets,https://github.com/deepmind/graph_nets,Apache-2.0,2018-08-31 08:19:28+00:00,2020-12-04 17:43:48+00:00,2020-12-04 17:43:47+00:00,707.0,13.0,101.0,4684.0,47.0,2020-01-29 16:00:25+00:00,1.1.0,7.0,Build Graph Nets in Tensorflow.,7.0,,11.0,19,https://pypi.org/project/graph-nets,2020-01-29 16:00:25+00:00,7.0,822.0,822.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n556,Qlib,microsoft/qlib,pyqlib,,,financial-data,['pytorch'],https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00+00:00,2020-12-16 02:16:29+00:00,2020-12-16 02:16:06+00:00,404.0,34.0,24.0,2760.0,,2020-12-12 09:59:16+00:00,0.6.1,15.0,\"Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research,..\",,,23.0,19,https://pypi.org/project/pyqlib,2020-12-12 09:59:16+00:00,,1517.0,1559.0,,,,True,3,126.0,,,,,,,,,,,,,,,,,,,,,,\n557,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,torchbiggraph,,,graph,['pytorch'],https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16+00:00,2020-12-16 11:58:59+00:00,2020-12-02 18:06:46+00:00,358.0,31.0,96.0,2605.0,140.0,2019-10-14 16:45:11+00:00,1.0.0,3.0,Generate embeddings from large-scale graph-structured data.,4.0,,19.0,19,https://pypi.org/project/torchbiggraph,2019-05-01 21:31:13+00:00,4.0,328.0,333.0,,,,True,3,101.0,,,,,,,,,,,,,,,,,,,,,,\n558,MMLSpark,Azure/mmlspark,,,,distributed-ml,['spark'],https://github.com/Azure/mmlspark,https://github.com/Azure/mmlspark,MIT,2017-06-05 08:23:44+00:00,2020-12-11 15:17:54+00:00,2020-12-03 17:05:17+00:00,467.0,171.0,212.0,2214.0,760.0,2020-10-02 19:36:01+00:00,1.0.0-rc3,17.0,Microsoft Machine Learning for Apache Spark.,,,61.0,19,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n559,scikit-plot,reiinakano/scikit-plot,scikit-plot,,,interpretability,['sklearn'],https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59+00:00,2020-07-22 16:19:25+00:00,2018-08-19 12:37:47+00:00,237.0,21.0,38.0,1968.0,130.0,2018-08-19 12:21:01+00:00,0.3.7,27.0,An intuitive library to add plotting functionality to scikit-learn objects.,667.0,640.0,13.0,19,https://pypi.org/project/scikit-plot,2018-08-19 12:18:46+00:00,27.0,,,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n560,Coach,IntelLabs/coach,rl_coach,,,reinforcement-learning,,https://github.com/IntelLabs/coach,https://github.com/IntelLabs/coach,Apache-2.0,2017-10-01 19:27:43+00:00,2020-12-15 20:29:00+00:00,2020-12-15 08:02:16+00:00,374.0,80.0,181.0,1877.0,512.0,2019-10-10 14:17:10+00:00,1.0.1,13.0,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,1.0,,34.0,19,https://pypi.org/project/rl_coach,2019-10-10 14:17:10+00:00,1.0,147.0,147.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n561,cuML,rapidsai/cuml,cuml,,,gpu-utilities,,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35+00:00,2020-12-16 03:50:35+00:00,2020-12-16 00:04:11+00:00,294.0,629.0,854.0,1830.0,,2020-12-10 21:50:49+00:00,0.17.0,5.0,cuML - RAPIDS Machine Learning Library.,,,118.0,19,https://pypi.org/project/cuml,2019-04-11 16:57:48+00:00,,411.0,411.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n562,Hummingbird,microsoft/hummingbird,hummingbird-ml,,,model-serialisation,,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03+00:00,2020-12-16 01:30:20+00:00,2020-12-16 00:58:53+00:00,140.0,45.0,120.0,1822.0,,2020-10-30 21:47:05+00:00,0.1.0,7.0,Hummingbird compiles trained ML models into tensor computation for faster inference.,12.0,12.0,17.0,19,https://pypi.org/project/hummingbird-ml,2020-10-30 21:45:47+00:00,,650.0,661.0,,,,True,3,83.0,,,,,,,,,,,,,,,,,,,,,,\n563,riko,nerevu/riko,riko,,,data-pipelines,,https://github.com/nerevu/riko,https://github.com/nerevu/riko,MIT,2016-06-02 12:22:51+00:00,2020-08-14 18:29:28+00:00,2020-08-14 16:47:45+00:00,70.0,22.0,8.0,1543.0,1257.0,2020-08-14 18:29:28+00:00,0.66.0,58.0,A Python stream processing engine modeled after Yahoo! Pipes.,1.0,,18.0,19,https://pypi.org/project/riko,2020-08-14 18:29:28+00:00,1.0,289.0,289.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n564,HiPlot,facebookresearch/hiplot,hiplot,conda-forge/hiplot,,data-viz,,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41+00:00,2020-12-14 09:40:01+00:00,2020-12-14 09:33:05+00:00,81.0,4.0,41.0,1490.0,103.0,2020-11-27 09:52:56+00:00,0.1.21,32.0,HiPlot makes understanding high dimensional data easy.,2.0,2.0,4.0,19,https://pypi.org/project/hiplot,2020-11-30 11:40:56+00:00,,3444.0,3444.0,https://anaconda.org/conda-forge/hiplot,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n565,DLTK,DLTK/DLTK,dltk,,,medical-data,['tensorflow'],https://github.com/DLTK/DLTK,https://github.com/DLTK/DLTK,Apache-2.0,2017-05-02 15:40:36+00:00,2020-11-13 17:17:16+00:00,2019-01-21 14:01:28+00:00,377.0,7.0,24.0,1230.0,379.0,,,5.0,Deep Learning Toolkit for Medical Image Analysis.,17.0,17.0,9.0,19,https://pypi.org/project/dltk,2018-02-26 17:43:57+00:00,,107.0,107.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n566,doc2text,jlsutherland/doc2text,doc2text,,,ocr,,https://github.com/jlsutherland/doc2text,https://github.com/jlsutherland/doc2text,MIT,2016-08-28 19:30:02+00:00,2020-12-01 22:56:27+00:00,2020-12-01 22:56:26+00:00,91.0,12.0,9.0,1222.0,62.0,2016-09-06 21:59:21+00:00,0.2.4,5.0,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,31.0,31.0,5.0,19,https://pypi.org/project/doc2text,2016-09-06 21:59:21+00:00,,278.0,278.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n567,Sweetviz,fbdesignpro/sweetviz,sweetviz,,,data-viz,,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47+00:00,2020-12-10 14:32:35+00:00,2020-12-10 14:30:47+00:00,132.0,21.0,40.0,1164.0,77.0,2020-12-10 14:32:35+00:00,2.0.4,22.0,\"Visualize and compare datasets, target values and associations, with one line of code.\",,,6.0,19,https://pypi.org/project/sweetviz,2020-12-10 14:32:35+00:00,,6781.0,6781.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n568,TaskTiger,closeio/tasktiger,tasktiger,,,data-pipelines,,https://github.com/closeio/tasktiger,https://github.com/closeio/tasktiger,MIT,2015-05-14 00:26:32+00:00,2020-12-15 21:42:27+00:00,2020-12-15 21:42:25+00:00,58.0,30.0,31.0,1035.0,249.0,2019-10-29 19:32:58+00:00,0.10.1,22.0,Python task queue using Redis.,28.0,19.0,19.0,19,https://pypi.org/project/tasktiger,2020-06-18 22:08:56+00:00,9.0,337.0,337.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n569,Skater,oracle/Skater,skater,,,interpretability,,https://github.com/oracle/Skater,https://github.com/oracle/Skater,UPL-1.0,2017-01-26 05:45:42+00:00,2020-06-29 20:07:14+00:00,2020-06-29 20:07:12+00:00,156.0,62.0,97.0,953.0,1101.0,2018-09-21 07:03:32+00:00,1.1.2,23.0,Python Library for Model Interpretation/Explanations.,,,34.0,19,https://pypi.org/project/skater,2018-09-21 07:03:32+00:00,,7151.0,7151.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n570,Databolt Flow,d6t/d6tflow,d6tflow,,,data-pipelines,,https://github.com/d6t/d6tflow,https://github.com/d6t/d6tflow,MIT,2019-02-03 01:51:22+00:00,2020-12-07 23:05:27+00:00,2020-12-07 23:05:24+00:00,62.0,5.0,11.0,887.0,97.0,2020-10-19 04:14:45+00:00,0.2.1,18.0,Python library for building highly effective data science workflows.,12.0,12.0,9.0,19,https://pypi.org/project/d6tflow,2020-10-19 04:14:45+00:00,,204.0,204.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n571,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,pytorch_toolbelt,,,pytorch-utils,['pytorch'],https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49+00:00,2020-12-09 12:08:20+00:00,2020-12-09 12:08:16+00:00,71.0,3.0,14.0,865.0,489.0,2020-08-19 10:33:17+00:00,0.4.0,18.0,PyTorch extensions for fast R&D prototyping and Kaggle farming.,1.0,,4.0,19,https://pypi.org/project/pytorch_toolbelt,2020-08-19 10:33:17+00:00,1.0,2851.0,2851.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n572,Alibi,SeldonIO/alibi,alibi,,,interpretability,,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Apache-2.0,2019-02-26 10:10:56+00:00,2020-12-03 14:50:46+00:00,2020-12-02 15:42:16+00:00,95.0,62.0,72.0,795.0,226.0,2020-10-20 14:14:29+00:00,0.5.5,15.0,Algorithms for monitoring and explaining machine learning models.,60.0,51.0,11.0,19,https://pypi.org/project/alibi,2020-10-20 14:13:40+00:00,9.0,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n573,TensorFrames,databricks/tensorframes,tensorframes,,,distributed-ml,\"['tensorflow', 'spark']\",https://github.com/databricks/tensorframes,https://github.com/databricks/tensorframes,Apache-2.0,2016-03-04 19:25:19+00:00,2020-11-13 17:47:02+00:00,2019-11-15 21:43:53+00:00,160.0,51.0,43.0,768.0,221.0,2018-11-16 20:50:02+00:00,0.6.0,6.0,[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark.,,,16.0,19,https://pypi.org/project/tensorframes,2018-05-16 14:20:28+00:00,,6611.0,6611.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n574,Test Tube,williamFalcon/test-tube,test_tube,,,hyperopt,,https://github.com/williamFalcon/test-tube,https://github.com/williamFalcon/test-tube,MIT,2017-09-06 02:14:57+00:00,2020-04-11 20:36:36+00:00,2020-03-17 22:44:47+00:00,59.0,22.0,21.0,639.0,642.0,2019-12-01 00:47:35+00:00,0.7.4,53.0,Python library to easily log experiments and parallelize hyperparameter search for neural networks.,5.0,,16.0,19,https://pypi.org/project/test_tube,2018-12-12 22:45:59+00:00,5.0,8549.0,8549.0,,,,True,3,7.0,,,,,,,,,,,,,,,,,,,,,,\n575,finetune,IndicoDataSolutions/finetune,finetune,,,nlp,\"['tensorflow', 'sklearn']\",https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16+00:00,2020-12-16 11:18:55+00:00,2020-11-24 13:38:51+00:00,68.0,18.0,115.0,629.0,1201.0,2019-11-07 19:42:32+00:00,0.8.6,37.0,Scikit-learn style model finetuning for NLP.,9.0,7.0,18.0,19,https://pypi.org/project/finetune,2020-01-10 22:42:24+00:00,2.0,207.0,207.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n576,NGT,yahoojapan/NGT,ngt,,,nn-search,,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57+00:00,2020-11-17 22:33:08+00:00,2020-11-17 22:32:45+00:00,67.0,7.0,66.0,601.0,113.0,2020-08-19 04:31:59+00:00,1.12.2,45.0,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,3.0,,10.0,19,https://pypi.org/project/ngt,2020-09-23 06:52:45+00:00,3.0,3090.0,3090.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n577,PFRL,pfnet/pfrl,pfrl,,,reinforcement-learning,,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50+00:00,2020-12-16 12:14:42+00:00,2020-12-16 12:05:36+00:00,56.0,22.0,19.0,451.0,307.0,2020-12-16 12:10:00+00:00,0.2.0,3.0,PFRL: a PyTorch-based deep reinforcement learning library.,4.0,4.0,9.0,19,https://pypi.org/project/pfrl,2020-12-16 12:14:42+00:00,,641.0,641.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n578,HpBandSter,automl/HpBandSter,hpbandster,,,hyperopt,,https://github.com/automl/HpBandSter,https://github.com/automl/HpBandSter,BSD-3-Clause,2017-12-17 20:28:20+00:00,2020-09-06 09:54:54+00:00,2019-03-26 09:26:28+00:00,90.0,53.0,34.0,429.0,187.0,2019-07-30 12:47:43+00:00,1.0,6.0,a distributed Hyperband implementation on Steroids.,116.0,100.0,10.0,19,https://pypi.org/project/hpbandster,2018-10-24 09:31:01+00:00,16.0,6587.0,6587.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n579,Poutyne,GRAAL-Research/poutyne,poutyne,,,pytorch-utils,['pytorch'],https://github.com/GRAAL-Research/poutyne,https://github.com/GRAAL-Research/poutyne,LGPL-3.0,2017-12-07 18:30:17+00:00,2020-12-11 21:55:50+00:00,2020-12-11 21:54:42+00:00,47.0,12.0,33.0,418.0,466.0,2020-11-14 19:02:29+00:00,1.1,17.0,A simplified framework and utilities for PyTorch.,47.0,45.0,15.0,19,https://pypi.org/project/poutyne,2020-11-14 18:24:19+00:00,2.0,378.0,378.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n580,seglearn,dmbee/seglearn,seglearn,,,time-series-data,,https://github.com/dmbee/seglearn,https://github.com/dmbee/seglearn,BSD-3-Clause,2018-03-05 20:53:59+00:00,2020-11-08 14:51:01+00:00,2020-11-08 14:45:42+00:00,45.0,6.0,17.0,406.0,264.0,2020-04-02 15:26:06+00:00,1.2.1,20.0,Python module for machine learning time series:.,7.0,6.0,13.0,19,https://pypi.org/project/seglearn,2020-04-02 15:26:06+00:00,1.0,3358.0,3358.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n581,Feature Engine,solegalli/feature_engine,feature_engine,conda-forge/feature_engine,,others,,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2018-12-31 01:47:18+00:00,2020-12-16 09:02:59+00:00,2020-12-14 15:15:09+00:00,118.0,25.0,60.0,391.0,90.0,2020-09-21 11:05:42+00:00,0.6.1,22.0,Feature engineering package with sklearn like functionality.,1.0,,18.0,19,https://pypi.org/project/feature_engine,2020-09-21 11:05:42+00:00,1.0,15214.0,15214.0,https://anaconda.org/conda-forge/feature_engine,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n582,MXBoard,awslabs/mxboard,mxboard,,,ml-experiments,['mxnet'],https://github.com/awslabs/mxboard,https://github.com/awslabs/mxboard,Apache-2.0,2018-02-06 23:03:51+00:00,2020-01-24 23:21:56+00:00,2020-01-24 23:21:55+00:00,46.0,16.0,15.0,329.0,42.0,2018-05-22 20:25:51+00:00,0.1.0,12.0,Logging MXNet data for visualization in TensorBoard.,91.0,90.0,9.0,19,https://pypi.org/project/mxboard,2018-05-22 20:25:51+00:00,1.0,2371.0,2371.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n583,Sherpa,sherpa-ai/sherpa,parameter-sherpa,,,hyperopt,,https://github.com/sherpa-ai/sherpa,https://github.com/sherpa-ai/sherpa,GPL-3.0,2018-05-16 21:41:54+00:00,2020-10-18 07:57:50+00:00,2020-10-18 07:57:48+00:00,41.0,11.0,41.0,276.0,823.0,2020-07-31 05:29:09+00:00,1.0.7,8.0,\"Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.\",8.0,7.0,41.0,19,https://pypi.org/project/parameter-sherpa,2019-11-23 21:32:27+00:00,1.0,580.0,580.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n584,PyKEEN,SmartDataAnalytics/PyKEEN,pykeen,,,graph,,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2018-06-06 15:00:23+00:00,2020-12-16 12:25:03+00:00,2020-12-15 16:11:26+00:00,39.0,30.0,57.0,266.0,2249.0,2020-10-21 11:59:14+00:00,1.0.5,31.0,A Python library for learning and evaluating knowledge graph embeddings.,1.0,,17.0,19,https://pypi.org/project/pykeen,2020-08-25 14:33:23+00:00,1.0,273.0,277.0,,,,True,3,29.0,,,,,,,,,,,,,,,,,,,,,,\n585,textpipe,textpipe/textpipe,textpipe,,,nlp,,https://github.com/textpipe/textpipe,https://github.com/textpipe/textpipe,MIT,2018-06-21 16:23:32+00:00,2020-12-14 09:08:31+00:00,2020-10-12 08:19:03+00:00,17.0,20.0,24.0,261.0,366.0,2020-10-12 08:24:19+00:00,0.12.1,38.0,Textpipe: clean and extract metadata from text.,7.0,6.0,27.0,19,https://pypi.org/project/textpipe,2020-10-12 08:24:19+00:00,1.0,534.0,534.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n586,pysparkling,svenkreiss/pysparkling,pysparkling,,,data-pipelines,,https://github.com/svenkreiss/pysparkling,https://github.com/svenkreiss/pysparkling,MIT,2015-05-09 19:23:20+00:00,2020-11-02 11:37:56+00:00,2020-11-02 11:37:55+00:00,43.0,2.0,20.0,233.0,1506.0,2019-07-13 07:23:04+00:00,0.6.0,67.0,A pure Python implementation of Apache Spark's RDD and DStream interfaces.,60.0,53.0,9.0,19,https://pypi.org/project/pysparkling,2019-07-13 07:23:04+00:00,7.0,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n587,pyfasttext,vrasneur/pyfasttext,pyfasttext,,,nlp,,https://github.com/vrasneur/pyfasttext,https://github.com/vrasneur/pyfasttext,GPL-3.0,2017-06-30 18:44:42+00:00,2018-12-08 15:32:09+00:00,2018-12-08 15:02:12+00:00,31.0,19.0,28.0,229.0,153.0,2018-12-08 15:02:54+00:00,0.4.6,13.0,Yet another Python binding for fastText.,131.0,126.0,4.0,19,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09+00:00,5.0,2720.0,2727.0,,,,False,3,304.0,,,,,,,,,,,,,,,,,,,,,,\n588,Brainiak,brainiak/brainiak,brainiak,,,medical-data,,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27+00:00,2020-10-15 21:11:03.379549+00:00,2020-10-15 16:28:46+00:00,105.0,62.0,117.0,229.0,388.0,2019-08-27 23:52:29+00:00,0.9.1,15.0,Brain Imaging Analysis Kit.,12.0,11.0,32.0,19,https://pypi.org/project/brainiak,2020-10-15 20:45:08+00:00,1.0,136.0,143.0,,,,True,3,,,,brainiak/brainiak,https://hub.docker.com/r/brainiak/brainiak,2020-10-15 21:11:03.379549+00:00,1.0,446.0,,,,,,,,,,,,,,,\n589,EarthPy,earthlab/earthpy,earthpy,conda-forge/earthpy,,geospatial-data,,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42+00:00,2020-12-15 19:05:40+00:00,2020-12-03 23:03:15+00:00,89.0,22.0,199.0,209.0,1066.0,2020-06-18 23:58:08+00:00,0.9.2,22.0,A package built to support working with spatial data using open source python.,72.0,69.0,38.0,19,https://pypi.org/project/earthpy,2020-06-18 23:58:08+00:00,3.0,,,https://anaconda.org/conda-forge/earthpy,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n590,fletcher,xhochy/fletcher,fletcher,,,data-containers,['pandas'],https://github.com/xhochy/fletcher,https://github.com/xhochy/fletcher,MIT,2018-03-04 16:44:22+00:00,2020-12-07 20:33:59+00:00,2020-12-07 20:25:51+00:00,32.0,33.0,39.0,202.0,499.0,2020-12-07 20:33:59+00:00,0.7.0,14.0,Pandas ExtensionDType/Array backed by Apache Arrow.,1.0,1.0,23.0,19,https://pypi.org/project/fletcher,2020-12-07 20:33:59+00:00,,427.0,428.0,,,,True,3,12.0,,,,,,,,,,,,,,,,,,,,,,\n591,Great Expectations,great-expectations/great_expectations,great_expectations,,,data-pipelines,,https://github.com/great-expectations/great_expectations,https://github.com/great-expectations/great_expectations,Apache-2.0,2017-09-11 00:18:46+00:00,2020-12-16 11:09:33+00:00,2020-12-15 20:50:53+00:00,362.0,142.0,576.0,3262.0,,2020-12-15 02:59:14+00:00,0.13.3,93.0,Always know what to expect from your data.,6.0,,136.0,18,https://pypi.org/project/great_expectations,2020-12-08 21:04:05+00:00,6.0,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n592,Crypto Signals,CryptoSignal/crypto-signal,,,,financial-data,,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24+00:00,2020-12-05 09:57:16+00:00,2020-09-03 12:26:48+00:00,637.0,43.0,187.0,2340.0,563.0,,,,\"Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 2,100 + stars, 580 + forks.\",,,25.0,18,,,,,1040.0,,,,True,3,,,,shadowreaver/crypto-signal,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133+00:00,7.0,40572.0,,,,,,,,,,,,,,,\n593,Apache Singa,apache/singa,,nusdbsystem/singa,,distributed-ml,,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05+00:00,2020-12-11 05:57:25+00:00,2020-12-11 05:55:13+00:00,561.0,49.0,32.0,2142.0,2261.0,2020-04-21 08:01:08+00:00,3.0.0,3.0,a distributed deep learning platform.,,,70.0,18,,,,,2.0,https://anaconda.org/nusdbsystem/singa,,,True,3,,,,apache/singa,https://hub.docker.com/r/apache/singa,2019-06-04 04:32:52.195956+00:00,2.0,165.0,,,,,,,,,,,,,,,\n594,DeepWalk,phanein/deepwalk,deepwalk,,,graph,,https://github.com/phanein/deepwalk,https://github.com/phanein/deepwalk,GPL-3.0,2014-08-23 03:38:20+00:00,2020-04-02 01:05:36+00:00,2020-04-02 01:05:35+00:00,752.0,29.0,78.0,2131.0,46.0,2018-04-29 21:05:18+00:00,1.0.3,4.0,DeepWalk - Deep Learning for Graphs.,41.0,34.0,10.0,18,https://pypi.org/project/deepwalk,2018-04-29 21:05:18+00:00,7.0,1036.0,1036.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n595,Mara Pipelines,mara/mara-pipelines,mara-pipelines,,,data-pipelines,,https://github.com/mara/mara-pipelines,https://github.com/mara/mara-pipelines,MIT,2018-03-31 20:37:22+00:00,2020-12-11 13:00:33+00:00,2020-07-31 19:24:31+00:00,76.0,6.0,11.0,1587.0,127.0,2020-07-31 19:31:29+00:00,3.1.1,7.0,\"A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow.\",7.0,7.0,15.0,18,https://pypi.org/project/mara-pipelines,2020-07-31 19:26:16+00:00,,36.0,36.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n596,NeuroNER,Franck-Dernoncourt/NeuroNER,pyneuroner,,,nlp,,https://github.com/Franck-Dernoncourt/NeuroNER,https://github.com/Franck-Dernoncourt/NeuroNER,MIT,2017-03-07 01:24:15+00:00,2020-11-13 18:07:48+00:00,2019-10-02 23:26:11+00:00,440.0,77.0,67.0,1516.0,132.0,2019-10-02 23:30:15+00:00,1.0.8,7.0,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,8.0,8.0,7.0,18,https://pypi.org/project/pyneuroner,2019-10-02 23:30:15+00:00,,118.0,118.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n597,Antialiased CNNs,adobe/antialiased-cnns,antialiased-cnns,,,pytorch-utils,['pytorch'],https://github.com/adobe/antialiased-cnns,https://github.com/adobe/antialiased-cnns,CC BY-NC-SA 4.0,2019-05-14 20:51:25+00:00,2020-10-23 22:45:52+00:00,2020-10-22 19:40:07+00:00,168.0,9.0,28.0,1311.0,238.0,2020-10-23 22:45:52+00:00,0.3,6.0,pip install antialiased-cnns to improve stability and accuracy.,,,6.0,18,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49+00:00,,471.0,471.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n598,Bounter,RaRe-Technologies/bounter,bounter,,,data-containers,,https://github.com/RaRe-Technologies/bounter,https://github.com/RaRe-Technologies/bounter,MIT,2017-07-18 07:24:15+00:00,2020-08-17 06:37:51+00:00,2020-08-16 11:55:16+00:00,48.0,11.0,9.0,887.0,152.0,2019-01-17 09:39:52+00:00,1.1.1,7.0,Efficient Counter that uses a limited (bounded) amount of memory regardless of data size.,34.0,20.0,8.0,18,https://pypi.org/project/bounter,2020-08-17 06:37:51+00:00,14.0,261.0,261.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n599,advertorch,BorealisAI/advertorch,advertorch,,,adversarial,['pytorch'],https://github.com/BorealisAI/advertorch,https://github.com/BorealisAI/advertorch,GPL-3.0,2018-11-29 22:17:33+00:00,2020-09-25 15:01:47+00:00,2020-06-15 01:16:18+00:00,118.0,13.0,28.0,771.0,270.0,2020-06-15 01:20:07+00:00,0.2.3,10.0,A Toolbox for Adversarial Robustness Research.,30.0,27.0,16.0,18,https://pypi.org/project/advertorch,2020-06-15 01:20:07+00:00,3.0,3505.0,3505.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n600,calamari,Calamari-OCR/calamari,calamari_ocr,,,ocr,,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,Apache-2.0,2018-03-20 15:22:29+00:00,2020-12-16 10:59:02+00:00,2020-11-07 10:36:48+00:00,161.0,20.0,132.0,743.0,259.0,2020-03-29 13:38:21+00:00,1.0.5,22.0,Line based ATR Engine based on OCRopy.,2.0,,17.0,18,https://pypi.org/project/calamari_ocr,2018-11-13 11:24:45+00:00,2.0,641.0,641.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n601,TF Recommenders,tensorflow/recommenders,tensorflow-recommenders,,,recommender-systems,['tensorflow'],https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01+00:00,2020-12-11 20:42:46+00:00,2020-12-11 20:42:39+00:00,63.0,20.0,39.0,650.0,,2020-11-19 18:15:43+00:00,0.3.0,5.0,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,9.0,9.0,16.0,18,https://pypi.org/project/tensorflow-recommenders,2020-11-19 18:15:43+00:00,,3299.0,3299.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n602,pytorch2keras,nerox8664/pytorch2keras,pytorch2keras,,,model-serialisation,,https://github.com/nerox8664/pytorch2keras,https://github.com/nerox8664/pytorch2keras,MIT,2017-11-16 20:21:43+00:00,2020-05-14 10:03:56+00:00,2020-05-14 10:03:04+00:00,109.0,39.0,65.0,639.0,277.0,2020-05-14 10:03:56+00:00,0.2.4,23.0,PyTorch to Keras model convertor.,16.0,15.0,11.0,18,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56+00:00,1.0,699.0,699.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n603,Saliency,PAIR-code/saliency,saliency,,,tensorflow-utils,['tensorflow'],https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35+00:00,2020-10-15 21:38:20+00:00,2020-10-01 22:54:59+00:00,129.0,11.0,10.0,610.0,64.0,2019-09-26 17:59:23+00:00,0.0.5,5.0,\"TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques.\",13.0,13.0,12.0,18,https://pypi.org/project/saliency,2019-09-26 17:59:23+00:00,,189.0,189.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n604,Torchbearer,pytorchbearer/torchbearer,torchbearer,,,ml-frameworks,['pytorch'],https://github.com/pytorchbearer/torchbearer,https://github.com/pytorchbearer/torchbearer,MIT,2018-03-12 16:30:42+00:00,2020-02-17 21:18:06+00:00,2020-02-17 21:18:01+00:00,62.0,8.0,237.0,580.0,427.0,2020-01-31 14:07:22+00:00,0.5.3,24.0,torchbearer: A model fitting library for PyTorch.,40.0,37.0,13.0,18,https://pypi.org/project/torchbearer,2020-01-31 14:05:56+00:00,3.0,491.0,491.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n605,vecstack,vecxoz/vecstack,vecstack,,,others,,https://github.com/vecxoz/vecstack,https://github.com/vecxoz/vecstack,MIT,2016-11-08 13:23:21+00:00,2020-09-14 08:31:07+00:00,2019-10-30 09:27:48+00:00,66.0,,34.0,569.0,189.0,2019-08-12 16:09:01+00:00,0.4.0,6.0,Python package for stacking (machine learning technique).,96.0,92.0,1.0,18,https://pypi.org/project/vecstack,2019-08-12 16:01:22+00:00,4.0,943.0,943.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n606,Dragonfly,dragonfly/dragonfly,dragonfly-opt,,,hyperopt,,https://github.com/dragonfly/dragonfly,https://github.com/dragonfly/dragonfly,MIT,2018-04-20 22:19:50+00:00,2020-07-26 17:44:31+00:00,2020-07-03 18:01:17+00:00,72.0,21.0,16.0,547.0,397.0,2020-07-03 18:05:12+00:00,0.1.6,9.0,An open source python library for scalable Bayesian optimisation.,2.0,,12.0,18,https://pypi.org/project/dragonfly-opt,2020-07-03 18:05:12+00:00,2.0,4284.0,4284.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n607,Sentinelsat,sentinelsat/sentinelsat,sentinelsat,,,geospatial-data,,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26+00:00,2020-11-10 08:08:10+00:00,2020-11-10 08:08:09+00:00,162.0,29.0,204.0,524.0,769.0,2020-06-12 07:15:51+00:00,0.14,36.0,Search and download Copernicus Sentinel satellite images.,175.0,153.0,33.0,18,https://pypi.org/project/sentinelsat,2020-06-12 07:08:37+00:00,22.0,,3.0,,,,False,3,184.0,,,,,,,,,,,,,,,,,,,,,,\n608,pyhsmm,mattjj/pyhsmm,pyhsmm,,,probabilistics,,https://github.com/mattjj/pyhsmm,https://github.com/mattjj/pyhsmm,MIT,2012-03-18 17:40:13+00:00,2020-09-29 20:58:26+00:00,2020-08-24 17:03:59+00:00,146.0,33.0,60.0,472.0,1426.0,2017-05-10 17:14:37+00:00,0.1.7,8.0,Bayesian inference in HSMMs and HMMs.,21.0,17.0,13.0,18,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37+00:00,4.0,67.0,67.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n609,PugSQL,mcfunley/pugsql,pugsql,,,db-clients,,https://github.com/mcfunley/pugsql,https://github.com/mcfunley/pugsql,Apache-2.0,2019-05-19 16:55:38+00:00,2020-12-15 20:56:53+00:00,2020-09-13 06:06:13+00:00,13.0,13.0,19.0,403.0,254.0,2020-09-03 22:44:19+00:00,0.2.2,23.0,A HugSQL-inspired database library for Python.,1.0,,10.0,18,https://pypi.org/project/pugsql,2020-09-13 05:35:42+00:00,1.0,1915.0,1915.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n610,What-If Tool,PAIR-code/what-if-tool,witwidget,,,interpretability,,https://github.com/PAIR-code/what-if-tool,https://github.com/PAIR-code/what-if-tool,Apache-2.0,2018-09-07 20:26:10+00:00,2020-11-09 15:54:11+00:00,2020-11-09 15:54:10+00:00,85.0,36.0,31.0,396.0,287.0,2020-06-28 14:23:49.040000+00:00,1.7.0,36.0,Source code/webpage/demos for the What-If Tool.,,,18.0,18,https://pypi.org/project/witwidget,2020-06-28 14:22:37+00:00,,2610.0,4635.0,,,,True,3,,,,,,,,,wit-widget,https://www.npmjs.com/package/wit-widget,2020-11-03 16:28:21.255000+00:00,,2025.0,,,,,,,,,,\n611,Baal,ElementAI/baal,baal,,,probabilistics,,https://github.com/ElementAI/baal,https://github.com/ElementAI/baal,Apache-2.0,2019-09-30 20:16:26+00:00,2020-12-11 19:04:37+00:00,2020-12-11 19:04:35+00:00,24.0,12.0,22.0,298.0,92.0,2020-11-03 21:14:13+00:00,1.2.1,7.0,Using approximate bayesian posteriors in deep nets for active learning.,6.0,6.0,8.0,18,https://pypi.org/project/baal,2020-11-03 21:07:08+00:00,,257.0,257.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n612,sk-dist,Ibotta/sk-dist,sk-dist,,,distributed-ml,\"['sklearn', 'spark']\",https://github.com/Ibotta/sk-dist,https://github.com/Ibotta/sk-dist,Apache-2.0,2019-08-14 21:07:17+00:00,2020-12-03 22:36:35+00:00,2020-12-03 22:36:34+00:00,42.0,6.0,9.0,249.0,45.0,2020-05-14 22:20:14+00:00,0.1.9,12.0,Distributed scikit-learn meta-estimators in PySpark.,7.0,5.0,6.0,18,https://pypi.org/project/sk-dist,2020-05-14 22:20:14+00:00,2.0,4746.0,4746.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n613,Funsor,pyro-ppl/funsor,funsor,,,probabilistics,['pytorch'],https://github.com/pyro-ppl/funsor,https://github.com/pyro-ppl/funsor,Apache-2.0,2019-01-30 23:13:39+00:00,2020-12-16 07:42:52+00:00,2020-12-14 05:48:12+00:00,15.0,55.0,52.0,155.0,453.0,2020-10-15 15:54:49+00:00,0.3.0,5.0,Functional tensors for probabilistic programming.,7.0,7.0,9.0,18,https://pypi.org/project/funsor,2020-10-15 15:54:49+00:00,,231.0,231.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n614,BatchFlow,analysiscenter/batchflow,batchflow,,,data-pipelines,,https://github.com/analysiscenter/batchflow,https://github.com/analysiscenter/batchflow,Apache-2.0,2017-03-13 14:22:53+00:00,2020-12-15 15:07:03+00:00,2020-12-08 08:39:00+00:00,33.0,52.0,53.0,153.0,4298.0,2019-08-23 12:21:50+00:00,0.3.0,3.0,BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and..,,,28.0,18,https://pypi.org/project/batchflow,2019-08-23 12:21:50+00:00,,31.0,31.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n615,Glow,projectglow/glow,glow.py,,,medical-data,,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47+00:00,2020-12-16 01:41:43+00:00,2020-12-02 17:26:06+00:00,41.0,22.0,41.0,145.0,292.0,2020-09-10 18:38:52+00:00,0.6.0,9.0,An open-source toolkit for large-scale genomic analysis.,,,11.0,18,https://pypi.org/project/glow.py,2020-09-10 01:15:03+00:00,,1276.0,1276.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n616,DeepMind Lab,deepmind/lab,,,,reinforcement-learning,,https://github.com/deepmind/lab,https://github.com/deepmind/lab,GPL-2.0,2016-11-30 13:41:26+00:00,2020-12-07 11:25:29+00:00,2020-12-07 11:05:16+00:00,1286.0,37.0,151.0,6355.0,470.0,2020-12-07 11:26:33+00:00,release-2020-12-07,8.0,A customisable 3D platform for agent-based AI research.,,,7.0,17,,,,,,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n617,Spotlight,maciejkula/spotlight,,maciejkula/spotlight,,recommender-systems,['pytorch'],https://github.com/maciejkula/spotlight,https://github.com/maciejkula/spotlight,MIT,2017-06-25 18:52:19+00:00,2020-11-15 08:21:28+00:00,2020-02-09 21:03:48+00:00,366.0,64.0,48.0,2357.0,299.0,2019-09-08 10:19:53+00:00,0.1.6,7.0,Deep recommender models using PyTorch.,,,11.0,17,,,,,,https://anaconda.org/maciejkula/spotlight,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n618,PaddleDetection,PaddlePaddle/PaddleDetection,,,,image,['paddle'],https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14+00:00,2020-12-16 10:58:10+00:00,2020-12-16 10:58:08+00:00,567.0,273.0,785.0,2011.0,639.0,2019-11-27 05:15:38+00:00,0.1.0,1.0,Object detection and instance segmentation toolkit based on PaddlePaddle.,,,42.0,17,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n619,Advisor,tobegit3hub/advisor,advisor,,,hyperopt,,https://github.com/tobegit3hub/advisor,https://github.com/tobegit3hub/advisor,Apache-2.0,2017-09-14 03:50:33+00:00,2019-11-11 07:09:57.869705+00:00,2019-11-11 06:59:31+00:00,237.0,19.0,13.0,1324.0,165.0,2018-10-18 02:54:09+00:00,0.1.6,4.0,Open-source implementation of Google Vizier for hyper parameters tuning.,,,11.0,17,https://pypi.org/project/advisor,2018-10-18 02:54:09+00:00,,80.0,119.0,,,,False,3,,,,tobegit3hub/advisor,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705+00:00,,1533.0,,,,,,,,,,,,,,,\n620,AdvBox,advboxes/AdvBox,advbox,,,adversarial,,https://github.com/advboxes/AdvBox,https://github.com/advboxes/AdvBox,Apache-2.0,2018-08-08 08:55:41+00:00,2020-11-13 17:59:22+00:00,2020-08-26 22:59:41+00:00,217.0,6.0,25.0,1013.0,374.0,2018-12-05 02:48:50+00:00,0.4.1,2.0,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,,,19.0,17,https://pypi.org/project/advbox,2018-12-05 02:48:50+00:00,,40.0,40.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n621,sklearn-porter,nok/sklearn-porter,sklearn-porter,,,model-serialisation,['sklearn'],https://github.com/nok/sklearn-porter,https://github.com/nok/sklearn-porter,MIT,2016-06-22 22:21:34+00:00,2020-10-19 07:28:00+00:00,2019-12-18 13:31:50+00:00,118.0,34.0,29.0,936.0,699.0,2019-04-15 22:13:06+00:00,0.7.4,20.0,\"Transpile trained scikit-learn estimators to C, Java, JavaScript and others.\",1.0,,11.0,17,https://pypi.org/project/sklearn-porter,2019-12-18 13:39:19+00:00,1.0,498.0,498.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n622,Torch Points 3D,nicolas-chaulet/torch-points3d,torch-points3d,,,image,['pytorch'],https://github.com/nicolas-chaulet/torch-points3d,https://github.com/nicolas-chaulet/torch-points3d,,2019-12-06 11:33:34+00:00,2020-12-14 17:03:55+00:00,2020-12-14 17:03:53+00:00,141.0,41.0,140.0,911.0,1559.0,2020-08-04 09:08:49+00:00,1.1.1,12.0,Pytorch framework for doing deep learning on point clouds.,2.0,2.0,18.0,17,https://pypi.org/project/torch-points3d,2020-08-04 09:08:49+00:00,,280.0,280.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n623,Backtesting.py,kernc/backtesting.py,backtesting,,,financial-data,,https://github.com/kernc/backtesting.py,https://github.com/kernc/backtesting.py,AGPL-3.0,2019-01-02 03:11:32+00:00,2020-12-16 06:13:21+00:00,2020-12-12 07:50:28+00:00,214.0,20.0,159.0,833.0,213.0,2017-07-22 02:00:06+00:00,0.0.1,1.0,Backtest trading strategies in Python.,,,8.0,17,https://pypi.org/project/backtesting,2017-07-22 02:00:06+00:00,,2824.0,2824.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n624,CrypTen,facebookresearch/CrypTen,crypten,,,privacy-ml,['pytorch'],https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31+00:00,2020-12-12 13:35:48+00:00,2020-12-09 19:56:33+00:00,87.0,15.0,31.0,669.0,225.0,2020-04-21 13:59:37+00:00,0.1,1.0,A framework for Privacy Preserving Machine Learning.,5.0,5.0,22.0,17,https://pypi.org/project/crypten,2020-02-05 18:53:03+00:00,,441.0,441.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n625,Hivemind,learning-at-home/hivemind,hivemind,,,distributed-ml,,https://github.com/learning-at-home/hivemind,https://github.com/learning-at-home/hivemind,MIT,2020-02-27 13:50:19+00:00,2020-12-14 16:32:08+00:00,2020-12-02 19:44:46+00:00,28.0,14.0,17.0,630.0,282.0,2020-08-28 05:52:35+00:00,0.8.2,5.0,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,2.0,1.0,8.0,17,https://pypi.org/project/hivemind,2020-08-28 16:00:22+00:00,1.0,37.0,37.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n626,SpeedTorch,Santosh-Gupta/SpeedTorch,SpeedTorch,,,gpu-utilities,['pytorch'],https://github.com/Santosh-Gupta/SpeedTorch,https://github.com/Santosh-Gupta/SpeedTorch,MIT,2019-09-07 18:57:52+00:00,2020-02-21 23:13:29+00:00,2020-02-21 23:13:28+00:00,35.0,3.0,2.0,590.0,170.0,2020-01-06 05:27:17+00:00,0.1.6,14.0,Library for faster pinned CPU - GPU transfer in Pytorch.,5.0,3.0,3.0,17,https://pypi.org/project/SpeedTorch,2020-01-06 05:27:17+00:00,2.0,151.0,151.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n627,ADTK,arundo/adtk,adtk,,,time-series-data,,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22+00:00,2020-04-29 19:54:40+00:00,2020-04-17 02:27:44+00:00,70.0,20.0,29.0,566.0,78.0,2020-04-17 02:18:00+00:00,0.6.2,13.0,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,,,11.0,17,https://pypi.org/project/adtk,2020-04-17 02:18:00+00:00,,37064.0,37064.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n628,AlphaPy,ScottfreeLLC/AlphaPy,alphapy,,,hyperopt,,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32+00:00,2020-09-06 12:58:26+00:00,2020-09-06 12:58:25+00:00,110.0,10.0,29.0,523.0,407.0,2020-08-29 18:48:20+00:00,2.5.0,24.0,\"Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost.\",2.0,2.0,3.0,17,https://pypi.org/project/alphapy,2020-08-25 23:33:42+00:00,,191.0,191.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n629,SKLL,EducationalTestingService/skll,skll,,,ml-experiments,['sklearn'],https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,BSD-1-Clause,2013-08-02 14:31:46+00:00,2020-12-04 04:12:31+00:00,2020-12-04 04:12:24+00:00,62.0,42.0,325.0,519.0,,2020-03-13 17:22:26+00:00,2.1,63.0,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,45.0,28.0,34.0,17,https://pypi.org/project/skll,2020-03-13 16:23:35+00:00,17.0,514.0,514.0,,,,False,3,10.0,,,,,,,,,,,,,,,,,,,,,,\n630,DiCE,interpretml/DiCE,dice-ml,,,interpretability,\"['tensorflow', 'pytorch']\",https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02+00:00,2020-12-15 13:12:57+00:00,2020-12-15 13:12:50+00:00,62.0,10.0,18.0,405.0,288.0,2020-09-22 06:31:10+00:00,0.4,2.0,Generate Diverse Counterfactual Explanations for any machine learning model.,,,8.0,17,https://pypi.org/project/dice-ml,2020-09-22 06:57:33+00:00,,191.0,191.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n631,Performer Pytorch,lucidrains/performer-pytorch,performer-pytorch,,,pytorch-utils,['pytorch'],https://github.com/lucidrains/performer-pytorch,https://github.com/lucidrains/performer-pytorch,MIT,2020-10-03 03:41:36+00:00,2020-12-14 17:10:37+00:00,2020-12-14 17:09:48+00:00,57.0,12.0,28.0,405.0,,2020-12-14 17:10:37+00:00,0.14.9,60.0,\"An implementation of Performer, a linear attention-based transformer, in Pytorch.\",6.0,6.0,4.0,17,https://pypi.org/project/performer-pytorch,2020-12-13 20:20:46+00:00,,1909.0,1909.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n632,datmo,datmo/datmo,datmo,,,ml-experiments,,https://github.com/datmo/datmo,https://github.com/datmo/datmo,MIT,2017-11-03 05:46:43+00:00,2019-11-29 00:48:45+00:00,2019-11-29 00:48:44+00:00,27.0,42.0,149.0,331.0,1051.0,2018-12-07 06:01:12+00:00,0.0.40,41.0,Open source production model management tool for data scientists.,5.0,5.0,5.0,17,https://pypi.org/project/datmo,2018-12-07 06:16:42+00:00,,205.0,205.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n633,Camphr,PKSHATechnology-Research/camphr,camphr,,,nlp,['spacy'],https://github.com/PKSHATechnology-Research/camphr,https://github.com/PKSHATechnology-Research/camphr,Apache-2.0,2020-02-10 03:39:58+00:00,2020-12-16 09:21:19+00:00,2020-12-15 00:25:16+00:00,15.0,7.0,14.0,318.0,1068.0,2020-08-21 04:45:06+00:00,0.7.0,35.0,\"spaCy plugin for Transformers , Udify, ELmo, etc.\",,,7.0,17,https://pypi.org/project/camphr,2020-08-20 15:29:45+00:00,,528.0,528.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n634,tick,X-DataInitiative/tick,tick,,,time-series-data,,https://github.com/X-DataInitiative/tick,https://github.com/X-DataInitiative/tick,BSD-3-Clause,2016-12-01 10:59:08+00:00,2020-08-11 12:36:43+00:00,2020-06-15 12:01:36+00:00,74.0,55.0,159.0,316.0,413.0,2019-09-11 11:25:15+00:00,0.6,23.0,\"Module for statistical learning, with a particular emphasis on time-dependent modelling.\",28.0,27.0,16.0,17,https://pypi.org/project/tick,2020-05-24 22:01:17+00:00,1.0,793.0,796.0,,,,True,3,155.0,,,,,,,,,,,,,,,,,,,,,,\n635,Case Recommender,caserec/CaseRecommender,caserecommender,,,recommender-systems,['sklearn'],https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39+00:00,2020-05-26 22:44:05+00:00,2020-05-26 22:44:05+00:00,66.0,6.0,16.0,305.0,201.0,2019-08-20 13:38:02+00:00,1.1.0,40.0,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems.,5.0,5.0,10.0,17,https://pypi.org/project/caserecommender,2019-08-20 13:42:28+00:00,,181.0,181.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n636,apricot,jmschrei/apricot,apricot-select,,,others,,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12+00:00,2020-09-30 20:53:48+00:00,2020-09-30 20:53:44+00:00,28.0,3.0,10.0,296.0,151.0,2020-09-28 07:19:15+00:00,0.6.0,13.0,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,9.0,9.0,2.0,17,https://pypi.org/project/apricot-select,2020-09-28 07:19:15+00:00,,346.0,346.0,,,,True,3,8.0,,,,,,,,,,,,,,,,,,,,,,\n637,LOFO,aerdem4/lofo-importance,lofo-importance,,,interpretability,,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46+00:00,2020-07-02 11:49:54+00:00,2020-07-02 11:49:52+00:00,40.0,1.0,10.0,286.0,24.0,2020-07-02 11:44:57+00:00,0.2.6,9.0,Leave One Feature Out Importance.,3.0,3.0,3.0,17,https://pypi.org/project/lofo-importance,2020-07-02 11:44:57+00:00,,229.0,229.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n638,Orbit,uber/orbit,orbit-ml,,,probabilistics,,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37+00:00,2020-12-16 06:07:53+00:00,2020-11-25 22:33:07+00:00,12.0,22.0,140.0,286.0,571.0,2020-11-15 23:46:41+00:00,1.0.9,9.0,Bayesian forecasting with object-oriented design and probabilistic models under the hood.,2.0,2.0,5.0,17,https://pypi.org/project/orbit-ml,2020-11-15 23:46:41+00:00,,235.0,235.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n639,DeepGraph,deepgraph/deepgraph,deepgraph,conda-forge/deepgraph,,graph,['pandas'],https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45+00:00,2020-10-01 13:20:38+00:00,2020-10-01 13:17:00+00:00,33.0,7.0,4.0,226.0,160.0,2020-10-01 13:20:38+00:00,0.2.3,13.0,Analyze Data with Pandas-based Networks. Documentation:.,1.0,1.0,2.0,17,https://pypi.org/project/deepgraph,2020-10-01 13:18:38+00:00,,295.0,295.0,https://anaconda.org/conda-forge/deepgraph,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n640,ipyexperiments,stas00/ipyexperiments,ipyexperiments,,,gpu-utilities,['jupyter'],https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40+00:00,2020-11-17 04:11:19+00:00,2020-11-17 04:11:16+00:00,9.0,,4.0,121.0,177.0,2020-11-16 07:08:34+00:00,0.1.22,21.0,jupyter/ipython experiment containers for GPU and general RAM re-use.,4.0,2.0,3.0,17,https://pypi.org/project/ipyexperiments,2020-11-17 04:10:43+00:00,2.0,292.0,292.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n641,nvidia-ml-py3,nicolargo/nvidia-ml-py3,nvidia-ml-py3,,,gpu-utilities,,https://github.com/nicolargo/nvidia-ml-py3,https://github.com/nicolargo/nvidia-ml-py3,BSD-3-Clause,2017-06-03 07:47:03+00:00,2019-03-06 20:41:10+00:00,2019-03-06 20:41:09+00:00,13.0,2.0,,59.0,5.0,,,1.0,Python 3 Bindings for the NVIDIA Management Library.,2327.0,2315.0,2.0,17,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46+00:00,12.0,289677.0,289677.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n642,ReAgent,facebookresearch/ReAgent,,,,reinforcement-learning,['pytorch'],https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21+00:00,2020-12-15 18:00:55+00:00,2020-12-15 18:00:02+00:00,372.0,20.0,73.0,2702.0,1040.0,,,,\"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).\",,,82.0,16,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n643,LIT,PAIR-code/lit,lit-nlp,,,interpretability,,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26+00:00,2020-12-16 05:35:28+00:00,2020-11-17 00:43:10+00:00,219.0,25.0,27.0,2279.0,,2020-11-17 00:53:31+00:00,0.2,4.0,The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and..,,,10.0,16,https://pypi.org/project/lit-nlp,2020-11-17 00:52:37+00:00,,309.0,309.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n644,automl-gs,minimaxir/automl-gs,automl_gs,,,hyperopt,,https://github.com/minimaxir/automl-gs,https://github.com/minimaxir/automl-gs,MIT,2019-01-13 18:57:44+00:00,2019-10-22 11:20:40+00:00,2019-04-05 06:48:14+00:00,157.0,26.0,6.0,1704.0,102.0,2019-04-05 06:51:04+00:00,0.2.1,2.0,\"Provide an input CSV and a target field to predict, generate a model + code to run it.\",,,7.0,16,https://pypi.org/project/automl_gs,2019-04-05 06:47:54+00:00,,39.0,39.0,,,,False,3,20.0,,,,,,,,,,,,,,,,,,,,,,\n645,BlazingSQL,BlazingDB/blazingsql,,blazingsql/blazingsql-protocol,,gpu-utilities,,https://github.com/BlazingDB/blazingsql,https://github.com/BlazingDB/blazingsql,Apache-2.0,2018-09-24 18:25:45+00:00,2020-12-16 05:42:03+00:00,2020-12-16 01:10:36+00:00,133.0,234.0,318.0,1361.0,,2020-12-14 17:43:48+00:00,0.17.0,15.0,\"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.\",,,39.0,16,,,,,,https://anaconda.org/blazingsql/blazingsql-protocol,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n646,Xcessiv,reiinakano/xcessiv,xcessiv,,,hyperopt,,https://github.com/reiinakano/xcessiv,https://github.com/reiinakano/xcessiv,Apache-2.0,2017-03-07 18:18:25+00:00,2018-06-06 22:23:37+00:00,2017-08-21 00:51:15+00:00,103.0,21.0,13.0,1256.0,316.0,2017-08-21 00:53:25+00:00,0.5.1,34.0,\"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.\",2.0,1.0,6.0,16,https://pypi.org/project/xcessiv,2017-08-21 00:49:41+00:00,1.0,112.0,112.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n647,Lambda Networks,lucidrains/lambda-networks,lambda-networks,,,pytorch-utils,['pytorch'],https://github.com/lucidrains/lambda-networks,https://github.com/lucidrains/lambda-networks,MIT,2020-10-08 19:01:15+00:00,2020-11-18 19:54:34+00:00,2020-11-18 19:54:30+00:00,124.0,8.0,15.0,1210.0,,2020-11-18 08:18:54+00:00,0.4.0,11.0,\"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.\",,,3.0,16,https://pypi.org/project/lambda-networks,2020-10-20 21:49:22+00:00,,447.0,447.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n648,River,online-ml/river,river,,,others,,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26+00:00,2020-12-15 14:53:56+00:00,2020-12-14 16:54:05+00:00,144.0,41.0,225.0,1195.0,2868.0,,,,Online machine learning in Python.,2.0,,55.0,16,https://pypi.org/project/river,2018-10-23 02:19:34.893000+00:00,2.0,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n649,HyperparameterHunter,HunterMcGushion/hyperparameter_hunter,hyperparameter-hunter,,,hyperopt,,https://github.com/HunterMcGushion/hyperparameter_hunter,https://github.com/HunterMcGushion/hyperparameter_hunter,MIT,2018-06-01 23:17:00+00:00,2020-10-21 17:39:45+00:00,2020-10-21 17:39:43+00:00,77.0,36.0,84.0,631.0,1095.0,2019-08-06 09:09:45+00:00,3.0.0,16.0,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries.,1.0,,3.0,16,https://pypi.org/project/hyperparameter-hunter,2019-08-06 06:01:58+00:00,1.0,100.0,108.0,,,,True,3,235.0,,,,,,,,,,,,,,,,,,,,,,\n650,lazydata,rstojnic/lazydata,lazydata,,,db-clients,,https://github.com/rstojnic/lazydata,https://github.com/rstojnic/lazydata,Apache-2.0,2018-08-21 12:44:27+00:00,2019-02-13 18:15:09+00:00,2018-10-12 11:40:26+00:00,24.0,7.0,6.0,624.0,216.0,2018-09-18 21:24:41+00:00,1.0.19,19.0,Lazydata: Scalable data dependencies for Python projects.,7.0,7.0,6.0,16,https://pypi.org/project/lazydata,2018-09-18 21:25:30+00:00,,57.0,57.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n651,cuGraph,rapidsai/cugraph,cugraph,,,gpu-utilities,,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11+00:00,2020-12-15 22:02:28+00:00,2020-12-15 16:03:41+00:00,129.0,90.0,444.0,589.0,,2020-12-10 21:54:44+00:00,0.17.0,4.0,cuGraph - RAPIDS Graph Analytics Library.,,,52.0,16,https://pypi.org/project/cugraph,2019-04-04 15:31:02+00:00,,62.0,62.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n652,ThunderGBM,Xtra-Computing/thundergbm,thundergbm,,,ml-frameworks,,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08+00:00,2020-12-15 05:42:06+00:00,2020-12-15 05:42:05+00:00,70.0,16.0,26.0,569.0,604.0,2020-05-01 23:16:25+00:00,0.3.16,24.0,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,,,10.0,16,https://pypi.org/project/thundergbm,2020-05-01 23:16:25+00:00,,127.0,127.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n653,XAI,EthicalML/xai,xai,,,interpretability,,https://github.com/EthicalML/xai,https://github.com/EthicalML/xai,MIT,2019-01-11 20:00:09+00:00,2019-10-05 10:34:58+00:00,2019-10-05 10:34:50+00:00,79.0,4.0,2.0,542.0,83.0,2019-01-13 21:24:01+00:00,0.0.4,4.0,XAI - An eXplainability toolbox for machine learning.,14.0,8.0,2.0,16,https://pypi.org/project/xai,2019-01-13 21:24:01+00:00,6.0,186.0,186.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n654,FlashTorch,MisaOgura/flashtorch,flashtorch,,,interpretability,['pytorch'],https://github.com/MisaOgura/flashtorch,https://github.com/MisaOgura/flashtorch,MIT,2019-03-22 13:00:57+00:00,2020-12-14 23:09:26+00:00,2020-05-29 14:37:29+00:00,65.0,6.0,21.0,512.0,126.0,2020-05-29 14:39:38+00:00,0.1.3,12.0,Visualization toolkit for neural networks in PyTorch! Demo --.,5.0,5.0,2.0,16,https://pypi.org/project/flashtorch,2020-05-29 14:38:32+00:00,,210.0,210.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n655,RLax,deepmind/rlax,rlax,,,reinforcement-learning,['jax'],https://github.com/deepmind/rlax,https://github.com/deepmind/rlax,Apache-2.0,2020-02-18 07:14:59+00:00,2020-12-04 16:29:56+00:00,2020-12-04 16:29:20+00:00,35.0,3.0,3.0,510.0,100.0,2020-02-19 23:01:30+00:00,0.1.0,3.0,A library of reinforcement learning building blocks in JAX.,8.0,8.0,10.0,16,https://pypi.org/project/rlax,2020-02-19 23:01:30+00:00,,133.0,133.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n656,Auto Tune Models,HDI-Project/ATM,atm,,,hyperopt,,https://github.com/HDI-Project/ATM,https://github.com/HDI-Project/ATM,MIT,2016-10-14 18:03:00+00:00,2020-02-21 17:44:07+00:00,2020-02-21 17:40:58+00:00,122.0,17.0,71.0,501.0,775.0,2019-07-30 09:28:26+00:00,0.2.2,13.0,\"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).\",6.0,6.0,16.0,16,https://pypi.org/project/atm,2019-06-24 13:31:28+00:00,,140.0,140.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n657,OpenRec,ylongqi/openrec,openrec,,,recommender-systems,,https://github.com/ylongqi/openrec,https://github.com/ylongqi/openrec,Apache-2.0,2017-11-29 16:04:40+00:00,2020-11-13 17:47:17+00:00,2020-02-19 07:57:17+00:00,80.0,4.0,12.0,349.0,213.0,2018-11-13 17:55:55+00:00,0.2.5,11.0,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms.,2.0,1.0,10.0,16,https://pypi.org/project/openrec,2019-09-11 20:21:21+00:00,1.0,60.0,60.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n658,pdvega,altair-viz/pdvega,pdvega,,,data-viz,,https://github.com/altair-viz/pdvega,https://github.com/altair-viz/pdvega,MIT,2018-01-11 21:30:27+00:00,2019-03-29 16:09:14+00:00,2019-03-29 16:09:13+00:00,28.0,16.0,10.0,339.0,177.0,,,1.0,Interactive plotting for Pandas using Vega-Lite.,47.0,45.0,9.0,16,https://pypi.org/project/pdvega,2018-02-01 04:56:43+00:00,2.0,148.0,148.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n659,VizSeq,facebookresearch/vizseq,vizseq,,,nlp,,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38+00:00,2020-12-13 18:55:58+00:00,2020-12-13 18:55:54+00:00,39.0,7.0,8.0,294.0,43.0,2020-08-07 01:13:52+00:00,0.1.15,16.0,\"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).\",1.0,1.0,3.0,16,https://pypi.org/project/vizseq,2020-08-07 01:13:52+00:00,,131.0,131.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n660,Headliner,as-ideas/headliner,headliner,,,nlp,,https://github.com/as-ideas/headliner,https://github.com/as-ideas/headliner,MIT,2019-09-30 11:33:28+00:00,2020-02-14 09:07:46+00:00,2020-02-14 09:03:27+00:00,38.0,1.0,13.0,216.0,276.0,2020-01-24 09:06:29+00:00,1.0.2,30.0,Easy training and deployment of seq2seq models.,3.0,2.0,2.0,16,https://pypi.org/project/headliner,2020-01-24 09:06:29+00:00,1.0,426.0,426.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n661,Transistor,bomquote/transistor,transistor,,,web-scraping,,https://github.com/bomquote/transistor,https://github.com/bomquote/transistor,MIT,2018-11-12 15:25:51+00:00,2020-12-12 22:37:59+00:00,2020-08-16 21:52:05+00:00,17.0,60.0,3.0,206.0,198.0,2020-08-03 20:20:32+00:00,0.2.4,7.0,\"Transistor, a Python web scraping framework for intelligent use cases.\",,,3.0,16,https://pypi.org/project/transistor,2020-08-03 20:12:39+00:00,,120.0,122.0,,,,True,3,51.0,,,,,,,,,,,,,,,,,,,,,,\n662,Muda,bmcfee/muda,muda,,,audio,,https://github.com/bmcfee/muda,https://github.com/bmcfee/muda,ISC,2014-11-07 21:21:22+00:00,2020-09-01 19:21:10+00:00,2020-07-20 20:00:17+00:00,30.0,5.0,44.0,172.0,291.0,2019-11-15 15:46:21+00:00,0.4.1,11.0,A library for augmenting annotated audio data.,8.0,7.0,6.0,16,https://pypi.org/project/muda,2019-11-15 15:46:21+00:00,1.0,115.0,115.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n663,ExplainX.ai,explainX/explainx,explainx,,,interpretability,,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15+00:00,2020-12-11 21:27:38+00:00,2020-12-08 21:08:01+00:00,26.0,7.0,12.0,148.0,174.0,2020-10-23 17:30:47+00:00,2.403,53.0,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,,,4.0,16,https://pypi.org/project/explainx,2020-12-07 22:26:30+00:00,,947.0,947.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n664,Larq Compute Engine,larq/compute-engine,larq-compute-engine,,,model-serialisation,,https://github.com/larq/compute-engine,https://github.com/larq/compute-engine,Apache-2.0,2019-08-29 15:02:43+00:00,2020-12-15 12:44:25+00:00,2020-12-15 12:44:23+00:00,18.0,21.0,86.0,119.0,437.0,2020-09-21 13:31:57+00:00,0.4.3,11.0,Highly optimized inference engine for Binarized Neural Networks.,1.0,1.0,13.0,16,https://pypi.org/project/larq-compute-engine,2020-09-21 17:41:53+00:00,,838.0,850.0,,,,False,3,120.0,,,,,,,,,,,,,,,,,,,,,,\n665,dabl,amueller/dabl,dabl,,,others,['sklearn'],https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49+00:00,2020-12-11 22:51:44+00:00,2020-07-08 16:14:41+00:00,7.0,1.0,,60.0,252.0,2020-02-04 18:25:16+00:00,0.1.9,10.0,Data Analysis Baseline Library.,,,18.0,16,https://pypi.org/project/dabl,2020-09-25 18:14:54+00:00,,1872.0,1872.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n666,Euler,alibaba/euler,euler-gl,,,graph,['tensorflow'],https://github.com/alibaba/euler,https://github.com/alibaba/euler,Apache-2.0,2019-01-10 06:32:32+00:00,2020-07-29 05:53:02+00:00,2020-07-29 05:53:01+00:00,497.0,199.0,97.0,2421.0,8.0,2020-07-07 02:24:18+00:00,2.0.0,2.0,A distributed graph deep learning framework.,,,5.0,15,https://pypi.org/project/euler-gl,2019-04-10 01:53:45+00:00,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n667,GraphEmbedding,shenweichen/GraphEmbedding,,,,graph,['sklearn'],https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20+00:00,2020-10-18 09:32:47+00:00,2020-10-18 09:32:47+00:00,525.0,26.0,13.0,1658.0,28.0,,,,Implementation and experiments of graph embedding algorithms.,7.0,7.0,6.0,15,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n668,StackImpact,stackimpact/stackimpact-python,stackimpact,,,system-monitoring,,https://github.com/stackimpact/stackimpact-python,https://github.com/stackimpact/stackimpact-python,BSD-3-Clause,2017-06-26 13:12:06+00:00,2019-05-14 14:48:14+00:00,2019-05-14 14:48:05+00:00,21.0,6.0,,673.0,31.0,2019-05-14 14:13:15+00:00,1.2.6,19.0,\"DEPRECATED StackImpact Python Profiler - Production-Grade Performance Profiler: CPU, memory allocations, blocking..\",6.0,5.0,1.0,15,https://pypi.org/project/stackimpact,2019-05-14 14:13:15+00:00,1.0,346.0,346.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n669,Translate,pytorch/translate,pytorch-translate,,,nlp,['pytorch'],https://github.com/pytorch/translate,https://github.com/pytorch/translate,BSD-3-Clause,2018-04-24 16:44:04+00:00,2020-12-02 14:37:37+00:00,2020-11-16 20:42:29+00:00,155.0,66.0,27.0,662.0,802.0,,,1.0,Translate - a PyTorch Language Library.,,,83.0,15,https://pypi.org/project/pytorch-translate,2018-05-01 19:59:40+00:00,,16.0,16.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n670,SuperSQLite,plasticityai/supersqlite,supersqlite,,,db-clients,,https://github.com/plasticityai/supersqlite,https://github.com/plasticityai/supersqlite,MIT,2018-11-09 08:20:26+00:00,2020-05-09 09:06:06+00:00,2019-08-27 13:16:09+00:00,18.0,3.0,1.0,653.0,221.0,2018-11-22 02:36:13+00:00,0.0.78,56.0,A supercharged SQLite library for Python.,3.0,3.0,2.0,15,https://pypi.org/project/supersqlite,2018-11-19 04:01:04+00:00,,320.0,320.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n671,baikal,alegonz/baikal,baikal,conda-forge/cython-blis,,others,,https://github.com/alegonz/baikal,https://github.com/alegonz/baikal,BSD-3-Clause,2019-01-21 12:59:02+00:00,2020-11-15 13:41:03+00:00,2020-11-15 13:39:20+00:00,28.0,4.0,11.0,569.0,393.0,2020-05-17 12:40:17+00:00,0.4.2,7.0,A graph-based functional API for building complex scikit-learn pipelines.,2.0,2.0,1.0,15,https://pypi.org/project/baikal,2020-11-15 13:40:18+00:00,,71.0,71.0,https://anaconda.org/conda-forge/cython-blis,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n672,PandaPy,firmai/pandapy,pandapy,,,data-containers,['pandas'],https://github.com/firmai/pandapy,https://github.com/firmai/pandapy,MIT,2020-01-15 18:21:23+00:00,2020-11-12 16:18:45+00:00,2020-11-12 16:18:44+00:00,42.0,2.0,1.0,456.0,83.0,2020-11-12 16:12:54+00:00,zen,22.0,PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai).,1.0,1.0,3.0,15,https://pypi.org/project/pandapy,2020-01-25 23:10:32+00:00,,92.0,92.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n673,cuSignal,rapidsai/cusignal,,,,gpu-utilities,,https://github.com/rapidsai/cusignal,https://github.com/rapidsai/cusignal,Apache-2.0,2019-08-22 14:27:27+00:00,2020-12-15 18:46:05+00:00,2020-12-15 18:46:03+00:00,55.0,17.0,80.0,427.0,,2020-12-10 21:29:50+00:00,0.17.0,3.0,GPU accelerated signal processing.,,,27.0,15,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n674,Tensor Sensor,parrt/tensor-sensor,tensor-sensor,,,pytorch-utils,['pytorch'],https://github.com/parrt/tensor-sensor,https://github.com/parrt/tensor-sensor,MIT,2020-08-28 22:54:04+00:00,2020-12-03 20:46:15+00:00,2020-12-03 20:45:45+00:00,22.0,4.0,12.0,395.0,148.0,2020-12-03 20:46:15+00:00,0.1.1,33.0,The goal of this library is to generate more helpful exception messages for numpy/pytorch matrix algebra expressions.,,,2.0,15,https://pypi.org/project/tensor-sensor,2020-12-03 20:40:56+00:00,,459.0,459.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n675,TF Compression,tensorflow/compression,tensorflow-compression,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19+00:00,2020-12-08 19:06:22+00:00,2020-12-08 18:51:30+00:00,139.0,3.0,50.0,393.0,130.0,2019-11-20 01:04:19+00:00,1.3,7.0,Data compression in TensorFlow.,1.0,,9.0,15,https://pypi.org/project/tensorflow-compression,2020-12-04 19:23:50+00:00,1.0,470.0,470.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n676,Pywick,achaiah/pywick,pywick,,,pytorch-utils,['pytorch'],https://github.com/achaiah/pywick,https://github.com/achaiah/pywick,MIT,2019-03-25 15:42:47+00:00,2020-11-17 16:44:11+00:00,2020-09-24 19:20:06+00:00,34.0,2.0,9.0,311.0,109.0,2020-01-20 22:14:21+00:00,0.5.6,6.0,High-level batteries-included neural network training library for Pytorch.,2.0,2.0,4.0,15,https://pypi.org/project/pywick,2020-01-20 22:14:21+00:00,,128.0,128.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n677,Parfit,jmcarpenter2/parfit,parfit,,,hyperopt,['sklearn'],https://github.com/jmcarpenter2/parfit,https://github.com/jmcarpenter2/parfit,MIT,2017-11-22 20:17:51+00:00,2020-04-04 19:26:44+00:00,2020-04-04 19:26:37+00:00,26.0,5.0,5.0,199.0,127.0,,,23.0,\"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..\",6.0,6.0,2.0,15,https://pypi.org/project/parfit,2018-10-11 22:03:16+00:00,,5090.0,5090.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n678,NeuralQA,victordibia/neuralqa,neuralqa,,,nlp,,https://github.com/victordibia/neuralqa,https://github.com/victordibia/neuralqa,MIT,2020-05-19 03:55:56+00:00,2020-12-14 23:14:31+00:00,2020-09-25 19:39:12+00:00,23.0,18.0,8.0,181.0,310.0,,,26.0,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,1.0,1.0,3.0,15,https://pypi.org/project/neuralqa,2020-07-29 16:39:37+00:00,,110.0,110.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n679,steppy,minerva-ml/steppy,steppy,,,ml-experiments,,https://github.com/minerva-ml/steppy,https://github.com/minerva-ml/steppy,MIT,2018-01-15 09:40:49+00:00,2018-11-23 09:49:59+00:00,2018-11-23 09:47:34+00:00,31.0,16.0,50.0,123.0,69.0,2018-11-23 09:49:59+00:00,0.1.16,16.0,\"Lightweight, Python library for fast and reproducible experimentation.\",40.0,35.0,5.0,15,https://pypi.org/project/steppy,2018-11-23 09:49:59+00:00,5.0,94.0,94.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n680,ModelChimp,ModelChimp/modelchimp,modelchimp,,,ml-experiments,,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03+00:00,2020-12-15 23:20:07+00:00,2019-12-06 08:58:55+00:00,11.0,4.0,10.0,118.0,357.0,2019-04-09 10:43:15+00:00,0.4.0,37.0,Experiment tracking for machine and deep learning projects.,,,2.0,15,https://pypi.org/project/modelchimp,2019-04-09 10:41:20+00:00,,1777.0,1802.0,,,,False,3,,,,modelchimp/modelchimp-server,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793+00:00,,634.0,,,,,,,,,,,,,,,\n681,nptsne,biovault/nptsne,nptsne,,,data-viz,,https://github.com/biovault/nptsne,https://github.com/biovault/nptsne,Apache-2.0,2019-06-28 08:40:25+00:00,2020-11-16 13:56:05+00:00,2020-11-13 16:38:47+00:00,2.0,7.0,2.0,24.0,834.0,2020-09-10 23:54:14+00:00,1.1.0,2.0,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,2.0,2.0,3.0,15,https://pypi.org/project/nptsne,2020-09-10 23:54:14+00:00,,166.0,166.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n682,DE⫶TR,facebookresearch/detr,,,,image,['pytorch'],https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52+00:00,2020-12-04 20:03:39+00:00,2020-11-15 16:03:45+00:00,786.0,56.0,195.0,5594.0,41.0,2020-06-29 16:41:01+00:00,0.2,1.0,End-to-End Object Detection with Transformers.,,,19.0,14,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n683,PySlowFast,facebookresearch/SlowFast,,,,image,['pytorch'],https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26+00:00,2020-12-08 22:41:05+00:00,2020-12-08 22:40:54+00:00,576.0,151.0,182.0,3182.0,92.0,,,,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,2.0,2.0,18.0,14,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n684,ENAS,carpedm20/ENAS-pytorch,,,,hyperopt,,https://github.com/carpedm20/ENAS-pytorch,https://github.com/carpedm20/ENAS-pytorch,Apache-2.0,2018-02-15 04:54:37+00:00,2020-12-09 18:13:03+00:00,2020-06-16 07:23:32+00:00,436.0,37.0,7.0,2354.0,53.0,,,,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,,,6.0,14,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n685,GraphSAGE,williamleif/GraphSAGE,,,,graph,['tensorflow'],https://github.com/williamleif/GraphSAGE,https://github.com/williamleif/GraphSAGE,MIT,2017-05-29 15:36:22+00:00,2020-11-13 17:49:54+00:00,2018-09-19 19:27:00+00:00,588.0,77.0,58.0,2032.0,59.0,,,,Representation learning on large graphs using stochastic graph convolutions.,,,9.0,14,,,,,,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n686,ZhuSuan,thu-ml/zhusuan,,,,probabilistics,['tensorflow'],https://github.com/thu-ml/zhusuan,https://github.com/thu-ml/zhusuan,MIT,2016-07-18 13:31:38+00:00,2020-01-09 14:51:27+00:00,2019-08-05 10:00:04+00:00,371.0,8.0,53.0,1985.0,439.0,,,,\"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.\",,,20.0,14,,,,,,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n687,lazynlp,chiphuyen/lazynlp,,,,web-scraping,,https://github.com/chiphuyen/lazynlp,https://github.com/chiphuyen/lazynlp,MIT,2019-02-27 23:23:19+00:00,2020-11-11 12:16:30+00:00,2019-10-07 16:52:30+00:00,281.0,5.0,3.0,1881.0,14.0,2019-03-02 17:38:27+00:00,1.0.0,1.0,Library to scrape and clean web pages to create massive datasets.,,,4.0,14,,,,,,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n688,OpenNE,thunlp/OpenNE,,,,graph,['tensorflow'],https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20+00:00,2020-11-30 14:02:23+00:00,2019-08-12 10:56:27+00:00,441.0,50.0,81.0,1378.0,98.0,,,,An Open-Source Package for Network Embedding (NE).,,,10.0,14,,,,,,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n689,Botflow,kkyon/botflow,botflow,,,data-pipelines,,https://github.com/kkyon/botflow,https://github.com/kkyon/botflow,BSD-3-Clause,2018-08-20 03:13:31+00:00,2019-05-23 14:40:51+00:00,2019-05-23 14:40:50+00:00,97.0,2.0,2.0,1150.0,192.0,,,5.0,\"Python Fast Dataflow programming framework for Data pipeline work( Web Crawler,Machine Learning,Quantitative..\",1.0,1.0,11.0,14,https://pypi.org/project/botflow,2018-09-14 14:38:32+00:00,,,,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n690,Higher,facebookresearch/higher,,,,pytorch-utils,['pytorch'],https://github.com/facebookresearch/higher,https://github.com/facebookresearch/higher,Apache-2.0,2019-09-06 18:58:36+00:00,2020-11-23 06:15:24+00:00,2020-10-28 16:53:07+00:00,71.0,22.0,46.0,999.0,28.0,,,,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,25.0,25.0,6.0,14,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n691,MedicalTorch,perone/medicaltorch,medicaltorch,,,medical-data,['pytorch'],https://github.com/perone/medicaltorch,https://github.com/perone/medicaltorch,Apache-2.0,2018-02-27 02:50:07+00:00,2020-09-30 13:21:57+00:00,2019-08-15 10:03:51+00:00,106.0,14.0,9.0,699.0,55.0,2018-11-24 00:33:11+00:00,0.2,2.0,A medical imaging framework for Pytorch.,9.0,9.0,7.0,14,https://pypi.org/project/medicaltorch,2018-11-24 00:29:36+00:00,,69.0,69.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n692,torchsde,google-research/torchsde,,,,pytorch-utils,['pytorch'],https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11+00:00,2020-12-14 10:23:06+00:00,2020-10-30 16:15:49+00:00,49.0,6.0,25.0,611.0,137.0,2020-10-22 16:12:07+00:00,0.2.1,3.0,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,,,4.0,14,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n693,Anchor,marcotcr/anchor,anchor_exp,,,interpretability,,https://github.com/marcotcr/anchor,https://github.com/marcotcr/anchor,BSD-2-Clause,2018-02-02 23:38:50+00:00,2020-09-10 17:49:26+00:00,2020-09-10 17:48:28+00:00,86.0,8.0,42.0,607.0,39.0,,,8.0,Code for High-Precision Model-Agnostic Explanations paper.,,,8.0,14,https://pypi.org/project/anchor_exp,2020-06-26 20:56:50+00:00,,623.0,623.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n694,Adversary,airbnb/artificial-adversary,Adversary,,,adversarial,,https://github.com/airbnb/artificial-adversary,https://github.com/airbnb/artificial-adversary,MIT,2018-08-08 04:42:11+00:00,2018-10-14 05:34:44+00:00,2018-08-29 15:31:30+00:00,47.0,7.0,,339.0,15.0,2018-08-29 15:14:41+00:00,1.1.1,3.0,Tool to generate adversarial text examples and test machine learning models against them.,6.0,6.0,5.0,14,https://pypi.org/project/Adversary,2018-08-29 15:14:41+00:00,,46.0,46.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n695,Tez,abhishekkrthakur/tez,tez,,,pytorch-utils,['pytorch'],https://github.com/abhishekkrthakur/tez,https://github.com/abhishekkrthakur/tez,Apache-2.0,2020-11-13 10:19:22+00:00,2020-12-13 08:48:54+00:00,2020-12-13 08:48:48+00:00,30.0,5.0,2.0,318.0,,2020-12-11 14:00:44+00:00,0.0.7,6.0,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,,,1.0,14,https://pypi.org/project/tez,2020-12-11 14:00:44+00:00,,879.0,879.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n696,TransferNLP,feedly/transfer-nlp,transfer-nlp,,,nlp,['pytorch'],https://github.com/feedly/transfer-nlp,https://github.com/feedly/transfer-nlp,MIT,2019-03-12 20:00:31+00:00,2020-05-28 19:00:02+00:00,2020-05-28 17:31:53+00:00,18.0,4.0,19.0,285.0,465.0,2020-05-28 19:00:02+00:00,0.1.6,8.0,NLP library designed for reproducible experimentation management.,,,7.0,14,https://pypi.org/project/transfer-nlp,2020-05-28 19:00:02+00:00,,109.0,109.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n697,nx-altair,Zsailer/nx_altair,nx-altair,,,data-viz,['jupyter'],https://github.com/Zsailer/nx_altair,https://github.com/Zsailer/nx_altair,MIT,2018-05-13 00:10:12+00:00,2020-09-30 12:01:08+00:00,2020-06-02 21:10:26+00:00,19.0,4.0,4.0,150.0,51.0,2020-06-02 21:11:12+00:00,0.1.6,8.0,Draw interactive NetworkX graphs with Altair.,2.0,,3.0,14,https://pypi.org/project/nx-altair,2020-06-02 21:11:12+00:00,2.0,228.0,228.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n698,DeepNeuro,QTIM-Lab/DeepNeuro,deepneuro,,,medical-data,,https://github.com/QTIM-Lab/DeepNeuro,https://github.com/QTIM-Lab/DeepNeuro,MIT,2017-06-01 19:36:34+00:00,2020-06-24 13:00:15+00:00,2020-06-24 13:00:14+00:00,28.0,25.0,16.0,95.0,285.0,2019-04-11 16:57:02+00:00,0.2.2,5.0,A deep learning python package for neuroimaging data. Made by:.,1.0,1.0,6.0,14,https://pypi.org/project/deepneuro,2019-04-11 16:57:02+00:00,,50.0,50.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n699,Hypermax,electricbrainio/hypermax,hypermax,,,hyperopt,,https://github.com/electricbrainio/hypermax,https://github.com/electricbrainio/hypermax,BSD-3-Clause,2018-07-27 18:43:01+00:00,2020-08-02 18:08:50+00:00,2020-08-02 18:08:46+00:00,14.0,3.0,1.0,94.0,207.0,2019-10-23 15:40:12+00:00,0.5.1,11.0,\"Better, faster hyper-parameter optimization.\",4.0,4.0,9.0,14,https://pypi.org/project/hypermax,2019-10-23 15:40:12+00:00,,51.0,51.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n700,StarSpace,facebookresearch/StarSpace,,,,ml-frameworks,,https://github.com/facebookresearch/StarSpace,https://github.com/facebookresearch/StarSpace,MIT,2017-06-28 17:50:18+00:00,2020-05-18 03:40:57+00:00,2019-12-13 19:03:25+00:00,475.0,45.0,146.0,3502.0,138.0,,,,\"Learning embeddings for classification, retrieval and ranking.\",,,17.0,13,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n701,OpenKE,thunlp/OpenKE,,,,graph,,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,MIT,2017-10-08 11:20:23+00:00,2020-04-08 11:00:38+00:00,2020-04-08 11:00:32+00:00,706.0,45.0,222.0,2268.0,97.0,,,,An Open-Source Package for Knowledge Embedding (KE).,,,10.0,13,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n702,pycls,facebookresearch/pycls,,,,image,['pytorch'],https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17+00:00,2020-11-29 17:48:12+00:00,2020-11-20 22:19:36+00:00,143.0,10.0,44.0,1386.0,66.0,2020-04-15 19:33:22+00:00,0.1,1.0,\"Codebase for Image Classification Research, written in PyTorch.\",1.0,1.0,7.0,13,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n703,Medical Detection Toolkit,MIC-DKFZ/medicaldetectiontoolkit,,,,medical-data,['pytorch'],https://github.com/MIC-DKFZ/medicaldetectiontoolkit,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,Apache-2.0,2018-10-12 12:34:57+00:00,2020-10-14 11:17:37+00:00,2020-04-18 12:52:08+00:00,226.0,27.0,85.0,870.0,36.0,,,,\"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..\",,,3.0,13,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n704,Torch-Struct,harvardnlp/pytorch-struct,,,,pytorch-utils,['pytorch'],https://github.com/harvardnlp/pytorch-struct,https://github.com/harvardnlp/pytorch-struct,MIT,2019-08-26 19:34:30+00:00,2020-12-05 20:47:02+00:00,2020-07-30 15:58:25+00:00,67.0,13.0,20.0,862.0,244.0,2019-11-25 04:08:05+00:00,0.4,1.0,\"Fast, general, and tested differentiable structured prediction in PyTorch.\",,,10.0,13,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n705,Julius,adefossez/julius,julius,,,audio,['pytorch'],https://github.com/adefossez/julius,https://github.com/adefossez/julius,MIT,2020-10-26 10:54:21+00:00,2020-12-10 12:50:51+00:00,2020-12-10 12:50:47+00:00,6.0,,3.0,155.0,,2020-11-25 18:04:38+00:00,0.2.0,4.0,Fast PyTorch based DSP for audio and 1D signals.,1.0,1.0,2.0,13,https://pypi.org/project/julius,2020-11-25 18:04:38+00:00,,209.0,209.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n706,Auptimizer,LGE-ARC-AdvancedAI/auptimizer,auptimizer,,,hyperopt,,https://github.com/LGE-ARC-AdvancedAI/auptimizer,https://github.com/LGE-ARC-AdvancedAI/auptimizer,GPL-3.0,2019-09-12 01:08:37+00:00,2020-12-04 01:00:53+00:00,2020-12-04 00:51:11+00:00,20.0,,3.0,152.0,68.0,2020-11-19 05:14:22+00:00,1.4,6.0,An automatic ML model optimization tool.,,,11.0,13,https://pypi.org/project/auptimizer,2020-11-19 00:23:49+00:00,,144.0,144.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n707,PySparNN,facebookresearch/pysparnn,,,,nn-search,,https://github.com/facebookresearch/pysparnn,https://github.com/facebookresearch/pysparnn,BSD-3-Clause,2016-03-28 20:43:42+00:00,2020-10-02 06:01:01+00:00,2018-01-31 16:50:23+00:00,141.0,11.0,13.0,836.0,147.0,,,,Approximate Nearest Neighbor Search for Sparse Data in Python!.,,,5.0,12,,,,,,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n708,Attribution Priors,suinleelab/attributionpriors,attributionpriors,,,interpretability,\"['tensorflow', 'pytorch']\",https://github.com/suinleelab/attributionpriors,https://github.com/suinleelab/attributionpriors,MIT,2019-06-24 23:54:24+00:00,2020-09-12 05:57:02+00:00,2020-09-12 05:56:51+00:00,3.0,1.0,3.0,71.0,64.0,2019-07-18 21:13:37+00:00,0.1.3,4.0,Tools for training explainable models using attribution priors.,,,6.0,12,https://pypi.org/project/attributionpriors,2019-10-31 18:03:05+00:00,,58.0,58.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n709,LazyCluster,ml-tooling/lazycluster,lazycluster,,,distributed-ml,,https://github.com/ml-tooling/lazycluster,https://github.com/ml-tooling/lazycluster,Apache-2.0,2019-08-07 08:05:13+00:00,2020-12-14 15:24:54+00:00,2020-12-14 15:24:53+00:00,4.0,,,30.0,,2020-12-14 15:25:59+00:00,0.2.4,5.0,Distributed machine learning made simple.,2.0,2.0,2.0,12,https://pypi.org/project/lazycluster,2020-12-14 14:49:33+00:00,,83.0,83.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n710,MedicalNet,Tencent/MedicalNet,,,,medical-data,,https://github.com/Tencent/MedicalNet,https://github.com/Tencent/MedicalNet,MIT,2019-07-17 09:53:10+00:00,2020-08-27 13:37:27+00:00,2020-08-27 13:37:26+00:00,262.0,40.0,14.0,1017.0,26.0,,,,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,,,1.0,11,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n711,Devol,joeddav/devol,,,,hyperopt,,https://github.com/joeddav/devol,https://github.com/joeddav/devol,MIT,2017-02-10 03:07:54+00:00,2020-07-05 21:56:59+00:00,2020-07-05 21:56:58+00:00,109.0,7.0,20.0,924.0,116.0,,,,Genetic neural architecture search with Keras.,,,18.0,11,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,\n712,NeoML,neoml-lib/neoml,,,,ml-frameworks,,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,,2020-06-14 17:37:36+00:00,2020-12-16 11:26:43+00:00,2020-12-16 11:26:29+00:00,76.0,16.0,13.0,546.0,157.0,2020-06-14 17:44:03+00:00,NeoML-master_1.0.1.0,1.0,Machine learning framework for both deep learning and traditional algorithms.,,,15.0,11,,,,,,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n713,ONNX-T5,abelriboulot/onnxt5,onnxt5,,,nlp,,https://github.com/abelriboulot/onnxt5,https://github.com/abelriboulot/onnxt5,Apache-2.0,2020-08-01 09:38:35+00:00,2020-09-02 11:27:43+00:00,2020-09-02 11:27:37+00:00,15.0,3.0,5.0,131.0,68.0,2020-08-15 15:25:00+00:00,0.1.6,10.0,\"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..\",,,2.0,11,https://pypi.org/project/onnxt5,2020-09-02 11:22:09+00:00,,130.0,130.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n714,Hypertunity,gdikov/hypertunity,hypertunity,,,hyperopt,,https://github.com/gdikov/hypertunity,https://github.com/gdikov/hypertunity,Apache-2.0,2019-06-02 12:04:55+00:00,2020-01-26 23:14:49+00:00,2020-01-26 22:53:29+00:00,9.0,,2.0,118.0,64.0,2020-01-26 23:08:16+00:00,1.0.1,7.0,A toolset for black-box hyperparameter optimisation.,2.0,2.0,2.0,11,https://pypi.org/project/hypertunity,2020-01-26 23:08:16+00:00,,45.0,45.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n715,traintool,jrieke/traintool,traintool,,,ml-experiments,\"['pytorch', 'tensorflow', 'sklearn']\",https://github.com/jrieke/traintool,https://github.com/jrieke/traintool,Apache-2.0,2020-09-30 22:23:05+00:00,2020-11-18 02:51:43+00:00,2020-11-18 02:50:52+00:00,1.0,,,8.0,120.0,2020-11-02 02:25:32+00:00,0.0.3,3.0,Train off-the-shelf machine learning models in one line of code.,,,1.0,10,https://pypi.org/project/traintool,2020-11-02 02:25:32+00:00,,62.0,62.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n716,GraphVite,DeepGraphLearning/graphvite,,milagraph/graphvite,,graph,,https://github.com/DeepGraphLearning/graphvite,https://github.com/DeepGraphLearning/graphvite,Apache-2.0,2019-07-16 15:48:20+00:00,2020-03-18 23:16:34+00:00,2020-03-18 23:16:04+00:00,113.0,22.0,51.0,811.0,14.0,,,,GraphVite: A General and High-performance Graph Embedding System.,,,1.0,9,,,,,,https://anaconda.org/milagraph/graphvite,,,False,3,,,,,,,,,,,,,,,,,,,,,,,\n"
  },
  {
    "path": "history/2020-12-18_changes.md",
    "content": "## 📈 Trending Up\n\n_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._\n\n- <b><a href=\"https://github.com/coleifer/peewee\">peewee</a></b> (🥈33 ·  ⭐ 8K · 📈) - a small, expressive orm -- supports postgresql, mysql and sqlite. <code><a href=\"https://tldrlegal.com/license/mit-license\">MIT</a></code>\n- <b><a href=\"https://github.com/RasaHQ/rasa\">Rasa</a></b> (🥇32 ·  ⭐ 10K · 📈) - Open source machine learning framework to automate text- and.. <code><a href=\"https://tldrlegal.com/license/apache-license-2.0-(apache-2.0)\">Apache-2</a></code> <a href=\"https://www.tensorflow.org/\"><code><img src=\"https://www.gstatic.com/devrel-devsite/prod/vc8928e4803ba00823d2deb39c327db4919db629f1ecb648b587b35b95297bc3b/tensorflow/images/favicon.png\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></a>\n- <b><a href=\"https://github.com/tensorflow/hub\">tensorflow-hub</a></b> (🥇32 ·  ⭐ 2.7K · 📈) - A library for transfer learning by reusing parts of.. <code><a href=\"https://tldrlegal.com/license/apache-license-2.0-(apache-2.0)\">Apache-2</a></code> <a href=\"https://www.tensorflow.org/\"><code><img src=\"https://www.gstatic.com/devrel-devsite/prod/vc8928e4803ba00823d2deb39c327db4919db629f1ecb648b587b35b95297bc3b/tensorflow/images/favicon.png\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></a>\n- <b><a href=\"https://github.com/huggingface/datasets\">Datasets</a></b> (🥇29 ·  ⭐ 5.8K · 📈) - The largest hub of ready-to-use open-access datasets for ML.. <code><a href=\"https://tldrlegal.com/license/apache-license-2.0-(apache-2.0)\">Apache-2</a></code>\n- <b><a href=\"https://github.com/interpretml/interpret\">InterpretML</a></b> (🥈27 ·  ⭐ 3.3K · 📈) - Fit interpretable models. Explain blackbox machine learning. <code><a href=\"https://tldrlegal.com/license/mit-license\">MIT</a></code> <a href=\"https://jupyter.org/\"><code><img src=\"https://jupyter.org/favicon.ico\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></a>\n- <b><a href=\"https://github.com/ekzhu/datasketch\">datasketch</a></b> (🥉27 ·  ⭐ 1.4K · 📈) - MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog,.. <code><a href=\"https://tldrlegal.com/license/mit-license\">MIT</a></code>\n- <b><a href=\"https://github.com/DistrictDataLabs/yellowbrick\">yellowbrick</a></b> (🥈26 ·  ⭐ 3K · 📈) - Visual analysis and diagnostic tools to facilitate machine.. <code><a href=\"https://tldrlegal.com/license/apache-license-2.0-(apache-2.0)\">Apache-2</a></code> <a href=\"https://scikit-learn.org\"><code><img src=\"https://scikit-learn.org/stable/_static/favicon.ico\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></a>\n- <b><a href=\"https://github.com/joerick/pyinstrument\">pyinstrument</a></b> (🥈26 ·  ⭐ 2.3K · 📈) - Call stack profiler for Python. Shows you why your code is.. <code><a href=\"https://tldrlegal.com/license/bsd-3-clause-license-(revised)\">BSD-3</a></code>\n- <b><a href=\"https://github.com/wookayin/gpustat\">gpustat</a></b> (🥉25 ·  ⭐ 2.1K · 💤) - A simple command-line utility for querying and monitoring GPU status. <code><a href=\"https://tldrlegal.com/license/mit-license\">MIT</a></code>\n- <b><a href=\"https://github.com/edublancas/sklearn-evaluation\">sklearn-evaluation</a></b> (🥉20 ·  ⭐ 280 · 📈) - scikit-learn model evaluation made easy: plots, tables and.. <code><a href=\"https://tldrlegal.com/license/mit-license\">MIT</a></code> <a href=\"https://scikit-learn.org\"><code><img src=\"https://scikit-learn.org/stable/_static/favicon.ico\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></a>\n\n## 📉 Trending Down\n\n_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._\n\n- <b><a href=\"https://github.com/tensorflow/addons\">TF Addons</a></b> (🥈30 ·  ⭐ 1.1K · 📉) - Useful extra functionality for TensorFlow 2.x maintained.. <code><a href=\"https://tldrlegal.com/license/apache-license-2.0-(apache-2.0)\">Apache-2</a></code> <a href=\"https://www.tensorflow.org/\"><code><img src=\"https://www.gstatic.com/devrel-devsite/prod/vc8928e4803ba00823d2deb39c327db4919db629f1ecb648b587b35b95297bc3b/tensorflow/images/favicon.png\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></a>\n- <b><a href=\"https://github.com/madmaze/pytesseract\">Tesseract</a></b> (🥇29 ·  ⭐ 3.3K · 📉) - Python-tesseract is an optical character recognition (OCR).. <code><a href=\"https://tldrlegal.com/license/apache-license-2.0-(apache-2.0)\">Apache-2</a></code>\n- <b><a href=\"https://github.com/serge-sans-paille/pythran\">Pythran</a></b> (🥈24 ·  ⭐ 1.5K · 📉) - Ahead of Time compiler for numeric kernels. <code><a href=\"https://tldrlegal.com/license/bsd-3-clause-license-(revised)\">BSD-3</a></code>\n- <b><a href=\"https://github.com/amaiya/ktrain\">ktrain</a></b> (🥉24 ·  ⭐ 690 · 📉) - ktrain is a Python library that makes deep learning and AI.. <code><a href=\"https://tldrlegal.com/license/apache-license-2.0-(apache-2.0)\">Apache-2</a></code> <a href=\"https://keras.io\"><code><img src=\"https://keras.io/img/favicon.ico\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></a>\n- <b><a href=\"https://github.com/python-happybase/happybase\">HappyBase</a></b> (🥉24 ·  ⭐ 550 · 💤) - A developer-friendly Python library to interact with Apache HBase. <code><a href=\"https://tldrlegal.com/license/mit-license\">MIT</a></code>\n- <b><a href=\"https://github.com/eliorc/node2vec\">Node2Vec</a></b> (🥈22 ·  ⭐ 600 · 📉) - Implementation of the node2vec algorithm. <code><a href=\"https://tldrlegal.com/license/mit-license\">MIT</a></code>\n- <b><a href=\"https://github.com/tristandeleu/pytorch-meta\">Torchmeta</a></b> (🥈21 ·  ⭐ 1.1K · 📉) - A collection of extensions and data-loaders for few-shot.. <code><a href=\"https://tldrlegal.com/license/mit-license\">MIT</a></code> <a href=\"https://pytorch.org\"><code><img src=\"https://pytorch.org/favicon.ico\" style=\"display:inline;\" width=\"13\" height=\"13\"></code></a>\n- <b><a href=\"https://github.com/flennerhag/mlens\">mlens</a></b> (🥉19 ·  ⭐ 660 · 💤) - ML-Ensemble high performance ensemble learning. <code><a href=\"https://tldrlegal.com/license/mit-license\">MIT</a></code>\n- <b><a href=\"https://github.com/altair-viz/pdvega\">pdvega</a></b> (🥉16 ·  ⭐ 340 · 💀) - Interactive plotting for Pandas using Vega-Lite. <code><a href=\"https://tldrlegal.com/license/mit-license\">MIT</a></code>\n\n"
  },
  {
    "path": "history/2020-12-18_projects.csv",
    "content": ",name,github_id,pypi_id,conda_id,docs_url,category,labels,github_url,homepage,license,created_at,updated_at,last_commit_pushed_at,fork_count,open_issue_count,closed_issue_count,star_count,commit_count,latest_stable_release_published_at,latest_stable_release_number,release_count,description,dependent_project_count,github_dependent_project_count,contributor_count,projectrank,pypi_url,pypi_latest_release_published_at,pypi_dependent_project_count,pypi_monthly_downloads,monthly_downloads,conda_url,conda_latest_release_published_at,conda_dependent_project_count,show,projectrank_placing,github_release_downloads,helm_id,brew_id,dockerhub_id,dockerhub_url,dockerhub_latest_release_published_at,dockerhub_stars,dockerhub_pulls,npm_id,npm_url,npm_latest_release_published_at,npm_dependent_project_count,npm_monthly_downloads,trending,snap_id,apt_id,yum_id,cargo_id,maven_id,maven_url,maven_latest_release_published_at,maven_dependent_project_count,dnf_id,yay_id\n0,Tensorflow,tensorflow/tensorflow,tensorflow,tensorflow,https://www.tensorflow.org/overview,ml-frameworks,['tensorflow'],https://github.com/tensorflow/tensorflow,https://github.com/tensorflow/tensorflow,Apache-2.0,2015-11-07 01:19:20+00:00,2020-12-18 10:16:26+00:00,2020-12-18 09:12:41+00:00,83455.0,4229.0,25315.0,151645.0,101743.0,2020-12-14 18:16:52+00:00,2.4.0,110.0,An Open Source Machine Learning Framework for Everyone.,135384.0,112860.0,3458.0,44,https://pypi.org/project/tensorflow,2020-12-14 17:58:05+00:00,22524.0,8297531.0,8297531.0,https://anaconda.org/anaconda/tensorflow,2020-11-02 11:16:39+00:00,0.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n1,pandas,pandas-dev/pandas,pandas,pandas,,data-containers,['pandas'],https://github.com/pandas-dev/pandas,https://github.com/pandas-dev/pandas,BSD-3-Clause,2010-08-24 01:37:33+00:00,2020-12-18 10:36:12+00:00,2020-12-17 23:40:04+00:00,11550.0,3571.0,16104.0,27685.0,25265.0,2020-12-07 15:07:55+00:00,1.1.5,86.0,\"Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R..\",427900.0,351116.0,2537.0,43,https://pypi.org/project/pandas,2020-12-08 15:36:34+00:00,76784.0,25173431.0,25174108.0,https://anaconda.org/anaconda/pandas,2020-10-31 18:02:02+00:00,0.0,True,1,56256.0,,,,,,,,,,,,,,,,,,,,,,,\n2,numpy,numpy/numpy,numpy,numpy,,data-containers,,https://github.com/numpy/numpy,https://github.com/numpy/numpy,BSD-3-Clause,2010-09-13 23:02:39+00:00,2020-12-18 05:14:21+00:00,2020-12-17 18:08:22+00:00,5089.0,2248.0,7189.0,15755.0,24983.0,2020-11-05 19:11:49+00:00,1.19.4,92.0,The fundamental package for scientific computing with Python.,746313.0,576591.0,1224.0,42,https://pypi.org/project/numpy,2020-12-03 18:43:23+00:00,169722.0,39920267.0,39926104.0,https://anaconda.org/anaconda/numpy,2020-11-05 19:11:49+00:00,0.0,True,1,286049.0,,,,,,,,,,,,,,,,,,,,,,,\n3,scikit-learn,scikit-learn/scikit-learn,scikit-learn,scikit-learn,,ml-frameworks,['sklearn'],https://github.com/scikit-learn/scikit-learn,https://github.com/scikit-learn/scikit-learn,BSD-3-Clause,2010-08-17 09:43:38+00:00,2020-12-18 10:17:23+00:00,2020-12-18 10:17:22+00:00,20713.0,2301.0,6565.0,43417.0,26371.0,2020-08-25 18:28:32+00:00,0.23.2,51.0,scikit-learn: machine learning in Python.,212632.0,174744.0,2104.0,41,https://pypi.org/project/scikit-learn,2020-12-02 17:56:43+00:00,37888.0,10076373.0,10076384.0,https://anaconda.org/anaconda/scikit-learn,2020-11-01 13:42:30.305000+00:00,0.0,True,1,618.0,,,,,,,,,,,,,,,,,,,,,,,\n4,Matplotlib,matplotlib/matplotlib,matplotlib,,,data-viz,,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,Python-2.0,2011-02-19 03:17:12+00:00,2020-12-18 04:22:36+00:00,2020-12-17 20:53:45+00:00,5541.0,1653.0,5879.0,12781.0,37352.0,2020-11-12 04:43:18+00:00,3.3.3,61.0,matplotlib: plotting with Python.,380271.0,301167.0,1177.0,40,https://pypi.org/project/matplotlib,2020-11-12 04:43:18+00:00,79104.0,9474544.0,9474544.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n5,PyTorch,pytorch/pytorch,torch,,https://pytorch.org/docs/stable/index.html,ml-frameworks,['pytorch'],https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41+00:00,2020-12-18 10:32:16+00:00,2020-12-18 09:48:10+00:00,11471.0,7100.0,12301.0,44849.0,32286.0,2020-12-10 17:19:58+00:00,1.7.1,30.0,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,62050.0,55368.0,2435.0,39,https://pypi.org/project/torch,2020-12-10 16:22:02+00:00,6682.0,1673530.0,1673530.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n6,Scrapy,scrapy/scrapy,scrapy,,,web-scraping,,https://github.com/scrapy/scrapy,https://github.com/scrapy/scrapy,BSD-3-Clause,2010-02-22 02:01:14+00:00,2020-12-17 21:48:32+00:00,2020-12-16 14:27:40+00:00,8948.0,750.0,1895.0,39217.0,8559.0,2020-11-17 21:01:36+00:00,2.4.1,80.0,\"Scrapy, a fast high-level web crawling & scraping framework for Python.\",29910.0,21540.0,457.0,38,https://pypi.org/project/scrapy,2020-11-17 12:04:15+00:00,8370.0,471564.0,471564.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n7,PySpark,apache/spark,pyspark,,,ml-frameworks,['spark'],https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08+00:00,2020-12-18 10:25:30+00:00,2020-12-18 08:01:13+00:00,23048.0,226.0,,28331.0,28832.0,2020-09-07 15:29:07+00:00,3.0.1,21.0,Apache Spark Python API.,1276.0,516.0,2371.0,38,https://pypi.org/project/pyspark,2020-09-07 15:29:07+00:00,760.0,6866545.0,6866545.0,,,,True,1,,stable/spark,,,,,,,,,,,,,,,,,,,,,,\n8,Pillow,python-pillow/Pillow,Pillow,,,image,,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39+00:00,2020-12-18 10:37:26+00:00,2020-12-18 06:48:51+00:00,1536.0,238.0,1819.0,8008.0,10901.0,2020-10-22 19:19:42+00:00,8.0.1,76.0,The friendly PIL fork (Python Imaging Library).,476938.0,365512.0,341.0,38,https://pypi.org/project/Pillow,2020-10-22 19:17:46+00:00,111426.0,14526902.0,14526902.0,,,,False,1,,,,,,,,,,,,,,,,,,,,,,,,\n9,youtube-dl,ytdl-org/youtube-dl,youtube_dl,,,web-scraping,,https://github.com/ytdl-org/youtube-dl,https://github.com/ytdl-org/youtube-dl,Unlicense,2010-10-31 14:35:07+00:00,2020-12-17 17:18:50+00:00,2020-12-17 16:21:36+00:00,2999.0,3932.0,18932.0,85400.0,18024.0,2020-12-13 17:58:53+00:00,2020.12.14,927.0,Command-line program to download videos from YouTube.com and other video sites.,2854.0,,914.0,37,https://pypi.org/project/youtube_dl,2020-12-08 21:28:09+00:00,2854.0,1879193.0,3407807.0,,,,True,1,45858429.0,,youtube-dl,,,,,,,,,,,,,,,,,,,,,\n10,spaCy,explosion/spaCy,spacy,,,nlp,,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40+00:00,2020-12-18 08:57:57+00:00,2020-12-18 08:54:56+00:00,3185.0,187.0,4105.0,17852.0,11713.0,2020-12-11 14:45:05+00:00,2.3.5,169.0,Industrial-strength Natural Language Processing (NLP) with Python and Cython.,22484.0,19418.0,538.0,37,https://pypi.org/project/spacy,2020-12-11 14:45:05+00:00,3066.0,970183.0,970240.0,,,,True,1,2884.0,,,,,,,,,,,,,,,,,,,,,,,\n11,Celery,celery/celery,celery,,,data-pipelines,,https://github.com/celery/celery,https://github.com/celery/celery,BSD-3-Clause,2009-04-24 11:31:24+00:00,2020-12-16 15:37:14+00:00,2020-12-16 15:33:33+00:00,3908.0,487.0,3907.0,16385.0,11470.0,2020-12-16 15:41:18+00:00,5.0.5,171.0,Asynchronous task queue/job queue based on distributed message passing.,74719.0,46485.0,1067.0,37,https://pypi.org/project/celery,2020-12-16 15:34:09+00:00,28234.0,2323358.0,2323358.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n12,networkx,networkx/networkx,networkx,,,graph,,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44+00:00,2020-12-18 07:45:13+00:00,2020-12-18 07:45:12+00:00,2155.0,253.0,2275.0,8360.0,6351.0,2020-08-22 20:10:33+00:00,networkx-2.5,52.0,Network Analysis in Python.,83122.0,62304.0,482.0,37,https://pypi.org/project/networkx,2020-08-22 20:38:37+00:00,20818.0,5613872.0,5613872.0,,,,True,1,51.0,,,,,,,,,,,,,,,,,,,,,,,\n13,boto3,boto/boto3,boto3,,,db-clients,,https://github.com/boto/boto3,https://github.com/boto/boto3,Apache-2.0,2014-10-03 21:38:03+00:00,2020-12-17 21:04:29+00:00,2020-12-17 19:14:01+00:00,1289.0,302.0,1928.0,6001.0,3975.0,2020-12-16 22:21:29+00:00,1.16.38,725.0,AWS SDK for Python.,111842.0,88752.0,108.0,37,https://pypi.org/project/boto3,2020-12-16 22:21:29+00:00,23090.0,46258514.0,46258514.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n14,transformers,huggingface/transformers,transformers,,,nlp,\"['pytorch', 'tensorflow']\",https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00+00:00,2020-12-18 10:21:22+00:00,2020-12-18 00:50:01+00:00,9382.0,548.0,4847.0,38253.0,6150.0,2020-12-17 17:09:51+00:00,4.1.1,44.0,Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.,6366.0,6238.0,733.0,36,https://pypi.org/project/transformers,2020-12-17 16:27:28+00:00,128.0,908987.0,909036.0,,,,True,1,1237.0,,,,,,,,,,,,,,,,,,,,,,,\n15,Faker,joke2k/faker,Faker,,,data-loading,,https://github.com/joke2k/faker,https://github.com/joke2k/faker,MIT,2012-11-12 23:00:09+00:00,2020-12-18 00:25:16+00:00,2020-12-15 21:31:29+00:00,1318.0,132.0,342.0,11746.0,2489.0,2020-12-15 21:37:38+00:00,5.0.2,102.0,Faker is a Python package that generates fake data for you.,26229.0,21517.0,377.0,36,https://pypi.org/project/Faker,2020-12-15 21:37:28+00:00,4712.0,2071444.0,2071444.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n16,redis,andymccurdy/redis-py,redis,,,db-clients,,https://github.com/andymccurdy/redis-py,https://github.com/andymccurdy/redis-py,MIT,2009-11-06 10:22:26+00:00,2020-12-14 09:50:16+00:00,2020-11-22 20:52:44+00:00,1903.0,62.0,802.0,8977.0,1550.0,2020-06-01 21:30:33+00:00,3.5.3,66.0,Redis Python Client.,49438.0,,248.0,36,https://pypi.org/project/redis,2020-06-01 21:30:33+00:00,49438.0,8562342.0,8562342.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n17,SymPy,sympy/sympy,sympy,sympy,,others,,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14+00:00,2020-12-18 10:24:48+00:00,2020-12-17 22:31:51+00:00,3209.0,3953.0,7042.0,7660.0,45446.0,2020-12-12 23:23:00+00:00,1.7.1,36.0,A computer algebra system written in pure Python.,33650.0,27228.0,1017.0,36,https://pypi.org/project/sympy,2020-12-12 23:23:00+00:00,6422.0,679556.0,684168.0,https://anaconda.org/anaconda/sympy,2020-11-24 22:42:59.563000+00:00,0.0,True,1,410524.0,,,,,,,,,,,,,,,,,,,,,,,\n18,psutil,giampaolo/psutil,psutil,conda-forge/psutil,,system-monitoring,,https://github.com/giampaolo/psutil,https://github.com/giampaolo/psutil,BSD-3-Clause,2014-05-23 14:01:48+00:00,2020-12-17 20:52:07+00:00,2020-12-17 20:52:01+00:00,1055.0,224.0,1209.0,6859.0,5639.0,2020-10-24 14:00:54+00:00,5.7.3,82.0,Cross-platform lib for process and system monitoring in Python.,92199.0,67533.0,154.0,36,https://pypi.org/project/psutil,2020-10-24 14:00:54+00:00,24666.0,11988509.0,11988509.0,https://anaconda.org/conda-forge/psutil,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n19,StatsModels,statsmodels/statsmodels,statsmodels,statsmodels,,ml-frameworks,,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50+00:00,2020-12-18 09:13:45+00:00,2020-12-15 18:29:34+00:00,2114.0,2042.0,2224.0,5816.0,13503.0,2020-12-02 16:14:51+00:00,0.12.1,24.0,Statsmodels: statistical modeling and econometrics in Python.,40947.0,34291.0,295.0,36,https://pypi.org/project/statsmodels,2020-10-29 16:36:43+00:00,6656.0,2431001.0,2431001.0,https://anaconda.org/anaconda/statsmodels,2020-12-02 16:14:51+00:00,0.0,True,1,25.0,,,,,,,,,,,,,,,,,,,,,,,\n20,Tensorboard,tensorflow/tensorboard,tensorboard,,,ml-experiments,['tensorflow'],https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07+00:00,2020-12-18 05:37:04+00:00,2020-12-17 20:08:22+00:00,1326.0,544.0,897.0,5086.0,4123.0,2020-11-12 03:15:42+00:00,2.4.0,35.0,TensorFlow's Visualization Toolkit.,52149.0,48535.0,248.0,36,https://pypi.org/project/tensorboard,2020-11-12 03:15:33+00:00,3614.0,5382860.0,5382860.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n21,scikit-image,scikit-image/scikit-image,scikit-image,,,image,,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,BSD-2-Clause,2011-07-07 22:07:20+00:00,2020-12-18 07:59:10+00:00,2020-12-18 07:59:09+00:00,1699.0,641.0,1469.0,4095.0,12444.0,2020-07-06 09:37:07+00:00,0.17.2,33.0,Image processing in Python.,71044.0,56270.0,471.0,36,https://pypi.org/project/scikit-image,2020-12-13 22:47:52+00:00,14774.0,1662689.0,1662689.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n22,pymongo,mongodb/mongo-python-driver,pymongo,,,db-clients,,https://github.com/mongodb/mongo-python-driver,https://github.com/mongodb/mongo-python-driver,Apache-2.0,2009-01-15 15:18:06+00:00,2020-12-18 04:19:19+00:00,2020-12-17 21:58:03+00:00,969.0,7.0,,3180.0,4615.0,2020-12-02 23:37:26+00:00,3.11.2,115.0,PyMongo - the Python driver for MongoDB.,117113.0,81251.0,179.0,36,https://pypi.org/project/pymongo,2020-12-02 23:31:25+00:00,35862.0,6245694.0,6245694.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n23,SQLAlchemy,sqlalchemy/sqlalchemy,SQLAlchemy,conda-forge/sqlalchemy,,db-clients,,https://github.com/sqlalchemy/sqlalchemy,https://github.com/sqlalchemy/sqlalchemy,MIT,2018-11-27 03:35:03+00:00,2020-12-18 05:48:10+00:00,2020-12-17 17:35:20+00:00,479.0,155.0,5367.0,3104.0,13415.0,2020-12-17 17:35:08+00:00,rel_1_3_21,205.0,The Database Toolkit for Python.,306295.0,222589.0,447.0,36,https://pypi.org/project/SQLAlchemy,2020-11-02 21:20:19+00:00,83706.0,13087367.0,13087441.0,https://anaconda.org/conda-forge/sqlalchemy,,,True,1,1112.0,,,,,,,,,,,,,,,,,,,,,,,\n24,h5py,h5py/h5py,h5py,,,data-containers,,https://github.com/h5py/h5py,https://github.com/h5py/h5py,BSD-3-Clause,2012-09-21 00:40:02+00:00,2020-12-11 13:07:01+00:00,2020-12-01 10:28:11+00:00,393.0,184.0,933.0,1455.0,3463.0,2020-11-06 14:30:54+00:00,3.1.0,25.0,HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.,117744.0,94808.0,156.0,36,https://pypi.org/project/h5py,2020-11-06 14:30:54+00:00,22936.0,5635256.0,5635272.0,,,,True,1,750.0,,,,,,,,,,,,,,,,,,,,,,,\n25,Keras,keras-team/keras,keras,keras,https://keras.io,ml-frameworks,['keras'],https://github.com/keras-team/keras,https://github.com/keras-team/keras,MIT,2015-03-28 00:35:42+00:00,2020-12-17 23:05:06+00:00,2020-12-17 23:05:00+00:00,18680.0,3128.0,7216.0,50332.0,5358.0,2020-06-25 19:09:28+00:00,2.4.3,53.0,Deep Learning for humans.,14996.0,,893.0,35,https://pypi.org/project/keras,2020-06-24 22:40:48+00:00,14996.0,2062837.0,2062837.0,https://anaconda.org/anaconda/keras,2020-06-25 19:09:28+00:00,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n26,XGBoost,dmlc/xgboost,xgboost,,https://xgboost.readthedocs.io/en/latest/,ml-frameworks,,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03+00:00,2020-12-18 01:28:25+00:00,2020-12-17 11:59:19+00:00,7840.0,263.0,3623.0,20301.0,5158.0,2020-12-09 00:37:13+00:00,1.3.0,50.0,\"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..\",13815.0,12223.0,499.0,35,https://pypi.org/project/xgboost,2020-12-09 19:03:33+00:00,1592.0,2900459.0,2900481.0,,,,True,2,1837.0,,,,,,,,,,,,,,,,,,,,,,,\n27,Airflow,apache/airflow,apache-airflow,conda-forge/airflow,,data-pipelines,,https://github.com/apache/airflow,https://github.com/apache/airflow,Apache-2.0,2015-04-13 18:04:58+00:00,2020-12-18 10:53:47+00:00,2020-12-18 10:52:14+00:00,7625.0,907.0,1717.0,19814.0,11143.0,2020-12-10 15:11:26+00:00,1.10.14,67.0,\"Platform to programmatically author, schedule, and monitor workflows.\",294.0,,1671.0,35,https://pypi.org/project/apache-airflow,2020-12-14 17:07:53+00:00,294.0,603723.0,649468.0,https://anaconda.org/conda-forge/airflow,,,True,1,63848.0,stable/airflow,,apache/airflow,https://hub.docker.com/r/apache/airflow,2020-12-18 04:12:48.345734+00:00,185.0,3042900.0,,,,,,,,,,,,,,,,\n28,LightGBM,microsoft/LightGBM,lightgbm,lightgbm,,ml-frameworks,,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50+00:00,2020-12-18 06:15:30+00:00,2020-12-15 14:10:02+00:00,3136.0,88.0,1887.0,11942.0,2166.0,2020-12-08 17:54:08+00:00,3.1.1,24.0,\"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..\",5535.0,4979.0,190.0,35,https://pypi.org/project/lightgbm,2020-12-08 03:00:35+00:00,556.0,1510558.0,1512387.0,https://anaconda.org/anaconda/lightgbm,2020-12-08 17:54:08+00:00,0.0,True,2,80502.0,,,,,,,,,,,,,,,,,,,,,,,\n29,gensim,RaRe-Technologies/gensim,gensim,,,nlp,,https://github.com/RaRe-Technologies/gensim,https://github.com/RaRe-Technologies/gensim,LGPL-2.1,2011-02-10 07:43:04+00:00,2020-12-18 07:24:27+00:00,2020-11-15 20:49:41+00:00,3825.0,349.0,1237.0,11495.0,3849.0,2020-05-04 05:55:15+00:00,3.8.3,83.0,Topic Modelling for Humans.,24058.0,19316.0,384.0,35,https://pypi.org/project/gensim,2020-11-15 12:53:37+00:00,4742.0,4465706.0,4465748.0,,,,False,1,2591.0,,,,,,,,,,,,,,,,,,,,,,,\n30,Plotly,plotly/plotly.py,plotly,,,data-viz,,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08+00:00,2020-12-17 22:06:31+00:00,2020-12-11 15:56:41+00:00,1711.0,760.0,1033.0,8460.0,4879.0,2020-12-09 13:48:45+00:00,4.14.1,263.0,The interactive graphing library for Python (includes Plotly Express).,4991.0,5.0,157.0,35,https://pypi.org/project/plotly,2020-12-09 13:29:15+00:00,4982.0,2889554.0,2931107.0,,,,True,1,,,,,,,,,plotlywidget,https://www.npmjs.com/package/plotlywidget,2020-12-09 13:24:37.313000+00:00,4.0,41553.0,,,,,,,,,,,\n31,torchvision,pytorch/vision,torchvision,,,image,['pytorch'],https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43+00:00,2020-12-18 09:07:03+00:00,2020-12-17 09:46:06+00:00,4100.0,458.0,1017.0,7973.0,1391.0,2020-12-10 17:10:41+00:00,0.8.2,21.0,\"Datasets, Transforms and Models specific to Computer Vision.\",41525.0,36913.0,344.0,35,https://pypi.org/project/torchvision,2020-12-10 16:27:20+00:00,4612.0,653012.0,653012.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n32,Seaborn,mwaskom/seaborn,seaborn,,,data-viz,,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19+00:00,2020-12-17 13:06:02+00:00,2020-12-17 13:05:30+00:00,1322.0,93.0,1633.0,7901.0,2721.0,2020-09-08 14:53:52+00:00,0.11.0,22.0,Statistical data visualization using matplotlib.,86637.0,73851.0,143.0,35,https://pypi.org/project/seaborn,2020-09-08 14:53:52+00:00,12786.0,2136916.0,2136917.0,,,,True,1,102.0,,,,,,,,,,,,,,,,,,,,,,,\n33,dask,dask/dask,dask,,,distributed-ml,,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00+00:00,2020-12-18 10:19:05+00:00,2020-12-17 18:10:35+00:00,1197.0,688.0,2761.0,7647.0,6254.0,2020-12-11 01:53:58+00:00,2020.12.0,109.0,Parallel computing with task scheduling.,27678.0,23762.0,420.0,35,https://pypi.org/project/dask,2020-12-11 01:53:58+00:00,3916.0,1415071.0,1415071.0,,,,True,1,,stable/dask,,,,,,,,,,,,,,,,,,,,,,\n34,Arrow,apache/arrow,pyarrow,,,data-containers,,https://github.com/apache/arrow,https://github.com/apache/arrow,Apache-2.0,2016-02-17 08:00:23+00:00,2020-12-18 10:07:33+00:00,2020-12-18 03:28:39+00:00,1686.0,114.0,535.0,6746.0,8131.0,2020-10-19 21:15:12+00:00,2.0.0,29.0,Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-..,1012.0,26.0,601.0,35,https://pypi.org/project/pyarrow,2020-10-19 21:15:12+00:00,986.0,9002584.0,9002584.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n35,PyMySQL,PyMySQL/PyMySQL,PyMySQL,,,db-clients,,https://github.com/PyMySQL/PyMySQL,https://github.com/PyMySQL/PyMySQL,MIT,2011-07-27 17:38:47+00:00,2020-12-10 02:51:07+00:00,2020-12-10 02:51:06+00:00,1238.0,18.0,515.0,6242.0,944.0,2020-09-10 07:38:01+00:00,0.10.1,32.0,Pure Python MySQL Client.,88632.0,70206.0,104.0,35,https://pypi.org/project/PyMySQL,2020-09-10 07:38:01+00:00,18426.0,5247104.0,5247104.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n36,google-cloud-storage,googleapis/google-cloud-python,google-cloud-storage,,,db-clients,,https://github.com/googleapis/google-cloud-python,https://github.com/googleapis/google-cloud-python,Apache-2.0,2014-01-28 15:51:47+00:00,2020-12-14 23:49:51+00:00,2020-10-29 21:15:18+00:00,1333.0,22.0,3312.0,3428.0,9049.0,2020-12-14 23:49:51+00:00,1.35.0,100.0,Google Cloud Client Library for Python.,2108.0,,311.0,35,https://pypi.org/project/google-cloud-storage,2020-12-14 23:49:51+00:00,2108.0,12309651.0,12309651.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n37,elasticsearch,elastic/elasticsearch-py,elasticsearch,,,db-clients,,https://github.com/elastic/elasticsearch-py,https://github.com/elastic/elasticsearch-py,Apache-2.0,2013-05-01 22:47:39+00:00,2020-12-17 21:25:10+00:00,2020-12-17 20:42:56+00:00,957.0,71.0,771.0,3042.0,1257.0,2020-12-09 17:27:30+00:00,7.10.1,64.0,Official Python low-level client for Elasticsearch.,29455.0,18881.0,167.0,35,https://pypi.org/project/elasticsearch,2020-12-09 17:25:00+00:00,10574.0,3903636.0,3903661.0,,,,True,2,50.0,,,,,,,,,,,,,,,,,,,,,,,\n38,psycopg2,psycopg/psycopg2,psycopg2,psycopg2,,db-clients,,https://github.com/psycopg/psycopg2,https://github.com/psycopg/psycopg2,BSD-3-Clause-Attribution,2013-01-21 11:05:11+00:00,2020-12-16 23:41:46+00:00,2020-12-16 23:41:45+00:00,356.0,47.0,924.0,2005.0,2871.0,2020-09-06 22:41:27+00:00,2.8.6,45.0,PostgreSQL database adapter for the Python programming language.,402060.0,282848.0,111.0,35,https://pypi.org/project/psycopg2,2020-09-06 22:41:27+00:00,119212.0,5145754.0,5145754.0,https://anaconda.org/anaconda/psycopg2,2020-07-09 14:36:31+00:00,0.0,False,2,,,,,,,,,,,,,,,,,,,,,,,,\n39,OpenAI Gym,openai/gym,gym,,,reinforcement-learning,,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16+00:00,2020-12-18 00:03:09+00:00,2020-12-17 19:55:52+00:00,6495.0,210.0,1061.0,22934.0,1238.0,2020-05-08 23:33:21+00:00,0.17.2,90.0,A toolkit for developing and comparing reinforcement learning algorithms.,20073.0,16511.0,271.0,34,https://pypi.org/project/gym,2020-05-08 23:33:21+00:00,3562.0,380881.0,380881.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n40,MXNet,apache/incubator-mxnet,mxnet,mxnet,,ml-frameworks,['mxnet'],https://github.com/apache/incubator-mxnet,https://github.com/apache/incubator-mxnet,Apache-2.0,2015-04-30 16:21:15+00:00,2020-12-18 05:45:54+00:00,2020-12-16 06:59:20+00:00,6790.0,1807.0,7537.0,19178.0,11484.0,2020-08-28 05:08:24+00:00,1.7.0,976.0,\"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..\",2100.0,1656.0,945.0,34,https://pypi.org/project/mxnet,2020-08-28 06:18:15+00:00,444.0,175698.0,176121.0,https://anaconda.org/anaconda/mxnet,2019-08-02 21:58:41+00:00,0.0,True,2,23281.0,,,,,,,,,,,,,,,,,,,,,,,\n41,nltk,nltk/nltk,nltk,,,nlp,,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58+00:00,2020-12-18 08:34:51+00:00,2020-12-12 21:05:27+00:00,2397.0,243.0,1211.0,9492.0,,2019-08-20 10:55:21+00:00,3.4.5,39.0,Suite of libraries and programs for symbolic and statistical natural language processing for English.,103752.0,82760.0,380.0,34,https://pypi.org/project/nltk,2020-04-12 23:46:10+00:00,20992.0,4283263.0,4283263.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n42,Theano,Theano/Theano,theano,theano,,ml-frameworks,,https://github.com/Theano/Theano,https://github.com/Theano/Theano,BSD-3-Clause,2011-08-10 03:48:06+00:00,2020-09-05 10:41:31+00:00,2020-09-05 10:39:50+00:00,2501.0,674.0,2081.0,9305.0,28123.0,2020-07-27 16:13:54+00:00,1.0.5,45.0,\"Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-..\",15244.0,9770.0,382.0,34,https://pypi.org/project/theano,2020-07-27 16:13:54+00:00,5474.0,248391.0,248391.0,https://anaconda.org/anaconda/theano,2019-09-12 14:53:26+00:00,0.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n43,kafka-python,dpkp/kafka-python,kafka-python,,,db-clients,,https://github.com/dpkp/kafka-python,https://github.com/dpkp/kafka-python,Apache-2.0,2012-09-24 13:00:26+00:00,2020-12-03 15:19:38+00:00,2020-12-02 14:45:13+00:00,1099.0,135.0,1148.0,4136.0,2152.0,2020-09-30 07:33:37+00:00,2.0.1,36.0,Python client for Apache Kafka.,7513.0,5493.0,202.0,34,https://pypi.org/project/kafka-python,2020-09-30 07:24:01+00:00,2020.0,2165229.0,2165250.0,,,,True,2,1662.0,,,,,,,,,,,,,,,,,,,,,,,\n44,Bokeh,bokeh/bokeh,bokeh,,,data-viz,,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01+00:00,2020-12-18 01:45:30+00:00,2020-12-17 01:10:34+00:00,3591.0,590.0,5710.0,14400.0,,2020-10-21 02:39:03+00:00,2.2.3,81.0,\"Interactive Data Visualization in the browser, from Python.\",34818.0,28946.0,541.0,33,https://pypi.org/project/bokeh,2020-12-08 11:21:40+00:00,5872.0,1057167.0,1057167.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n45,luigi,spotify/luigi,luigi,luigi,,data-pipelines,,https://github.com/spotify/luigi,https://github.com/spotify/luigi,Apache-2.0,2012-09-20 15:06:38+00:00,2020-12-17 15:07:29+00:00,2020-12-10 19:36:46+00:00,2208.0,67.0,832.0,14032.0,3939.0,2020-09-23 11:57:43+00:00,3.0.2,72.0,\"Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution,..\",1963.0,1287.0,546.0,33,https://pypi.org/project/luigi,2020-09-23 11:57:12+00:00,676.0,409253.0,409253.0,https://anaconda.org/anaconda/luigi,2020-07-20 20:26:45+00:00,,True,1,,stable/luigi,,,,,,,,,,,,,,,,,,,,,,\n46,shap,slundberg/shap,shap,,,interpretability,,https://github.com/slundberg/shap,https://github.com/slundberg/shap,MIT,2016-11-22 19:17:08+00:00,2020-12-18 05:05:55+00:00,2020-12-18 00:11:13+00:00,1591.0,848.0,490.0,11173.0,1702.0,2020-11-04 21:38:32+00:00,0.37.0,92.0,A game theoretic approach to explain the output of any machine learning model.,1892.0,1756.0,140.0,33,https://pypi.org/project/shap,2020-11-04 21:38:32+00:00,136.0,717907.0,717907.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n47,pytorch-lightning,PyTorchLightning/pytorch-lightning,pytorch-lightning,conda-forge/pytorch-lightning,,ml-frameworks,['pytorch'],https://github.com/PyTorchLightning/pytorch-lightning,https://github.com/PyTorchLightning/pytorch-lightning,Apache-2.0,2019-03-31 00:45:57+00:00,2020-12-18 10:19:45+00:00,2020-12-17 13:45:02+00:00,1236.0,342.0,2302.0,10817.0,3981.0,2020-12-15 23:44:14+00:00,1.1.1,143.0,\"The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.\",1476.0,1462.0,344.0,33,https://pypi.org/project/pytorch-lightning,2020-12-17 21:23:19+00:00,14.0,113837.0,113837.0,https://anaconda.org/conda-forge/pytorch-lightning,,,True,2,13.0,,,,,,,,,,,,,,,,,,,,,,,\n48,onnx,onnx/onnx,onnx,,,model-serialisation,,https://github.com/onnx/onnx,https://github.com/onnx/onnx,MIT,2017-09-07 04:53:45+00:00,2020-12-18 03:25:34+00:00,2020-12-16 21:46:35+00:00,1723.0,501.0,905.0,9511.0,1652.0,2020-11-07 00:55:30+00:00,1.8.0,19.0,Open standard for machine learning interoperability.,2546.0,2250.0,188.0,33,https://pypi.org/project/onnx,2020-11-06 22:46:10+00:00,296.0,330826.0,331067.0,,,,True,1,9180.0,,,,,,,,,,,,,,,,,,,,,,,\n49,mlflow,mlflow/mlflow,mlflow,,,ml-experiments,,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58+00:00,2020-12-18 10:34:04+00:00,2020-12-18 09:49:59+00:00,1795.0,628.0,1014.0,8006.0,1797.0,2020-11-19 07:43:19+00:00,1.12.1,38.0,Open source platform for the machine learning lifecycle.,1828.0,1674.0,267.0,33,https://pypi.org/project/mlflow,2020-11-19 07:30:38+00:00,154.0,2644041.0,2644041.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n50,peewee,coleifer/peewee,peewee,,,db-clients,,https://github.com/coleifer/peewee,https://github.com/coleifer/peewee,MIT,2010-10-11 20:14:11+00:00,2020-11-26 16:40:21+00:00,2020-11-26 16:31:52+00:00,1254.0,1.0,1906.0,8004.0,4280.0,2020-11-07 18:48:43+00:00,3.14.0,165.0,\"a small, expressive orm -- supports postgresql, mysql and sqlite.\",18026.0,11562.0,144.0,33,https://pypi.org/project/peewee,2020-11-07 18:47:45+00:00,6464.0,191707.0,191707.0,,,,True,2,,,,,,,,,,,,,,5.0,,,,,,,,,,\n51,xlrd,python-excel/xlrd,xlrd,,,data-loading,,https://github.com/python-excel/xlrd,https://github.com/python-excel/xlrd,BSD-3-Clause,2012-03-07 04:50:48+00:00,2020-12-12 15:24:26+00:00,2020-12-12 15:24:25+00:00,406.0,3.0,,1828.0,502.0,2020-12-11 10:14:20+00:00,2.0.1,24.0,Please use openpyxl where you can...,72833.0,59259.0,50.0,33,https://pypi.org/project/xlrd,2020-12-11 10:14:20+00:00,13574.0,5612835.0,5612835.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n52,Fastai,fastai/fastai,fastai,,,ml-frameworks,['pytorch'],https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36+00:00,2020-12-17 15:01:54+00:00,2020-12-16 19:42:25+00:00,6865.0,55.0,1254.0,20118.0,1579.0,2020-12-13 19:01:35+00:00,2.1.9,109.0,\"The fastai deep learning library, plus lessons and tutorials.\",368.0,,472.0,32,https://pypi.org/project/fastai,2020-12-13 19:01:35+00:00,368.0,117259.0,117259.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n53,Ray,ray-project/ray,ray,,,distributed-ml,,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30+00:00,2020-12-18 09:47:09+00:00,2020-12-18 09:33:12+00:00,2228.0,1185.0,4315.0,14116.0,6720.0,2020-11-19 22:43:00+00:00,ray-1.0.1.post1,42.0,\"An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged..\",1526.0,1366.0,409.0,32,https://pypi.org/project/ray,2020-11-19 22:42:38+00:00,160.0,225299.0,225299.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n54,jax,google/jax,jax,,,ml-frameworks,,https://github.com/google/jax,https://github.com/google/jax,Apache-2.0,2018-10-25 21:25:02+00:00,2020-12-18 04:05:18+00:00,2020-12-17 23:15:56+00:00,886.0,685.0,1311.0,10710.0,6348.0,2020-12-05 06:20:45+00:00,0.2.7,86.0,\"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.\",924.0,878.0,238.0,32,https://pypi.org/project/jax,2020-12-05 06:20:45+00:00,46.0,71905.0,71905.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n55,imgaug,aleju/imgaug,imgaug,,,image,,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33+00:00,2020-10-19 12:23:22+00:00,2020-06-01 14:58:26+00:00,1935.0,211.0,203.0,10408.0,2913.0,2020-02-06 06:18:40+00:00,0.4.0,11.0,Image augmentation for machine learning experiments.,5055.0,4777.0,36.0,32,https://pypi.org/project/imgaug,2020-02-05 20:54:22+00:00,278.0,152188.0,152188.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n56,Rasa,RasaHQ/rasa,rasa,,,nlp,['tensorflow'],https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49+00:00,2020-12-18 10:05:26+00:00,2020-12-17 16:48:48+00:00,3150.0,499.0,4266.0,10348.0,24089.0,2020-12-18 10:26:47+00:00,1.10.20,172.0,\"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..\",64.0,,452.0,32,https://pypi.org/project/rasa,2020-12-17 19:49:50+00:00,64.0,62134.0,62134.0,,,,True,1,,,,,,,,,,,,,,2.0,,,,,,,,,,\n57,AllenNLP,allenai/allennlp,allennlp,,,nlp,['pytorch'],https://github.com/allenai/allennlp,https://github.com/allenai/allennlp,Apache-2.0,2017-05-15 15:52:41+00:00,2020-12-18 01:22:49+00:00,2020-12-16 20:12:28+00:00,1917.0,132.0,2104.0,9495.0,2353.0,2020-12-15 22:10:16+00:00,1.3.0,154.0,\"An open-source NLP research library, built on PyTorch.\",1438.0,1321.0,229.0,32,https://pypi.org/project/allennlp,2020-11-17 18:37:28+00:00,117.0,22484.0,22484.0,,,,True,1,36.0,,,,,,,,,,,,,,,,,,,,,,,\n58,Chainer,chainer/chainer,chainer,,,ml-frameworks,,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37+00:00,2020-12-18 07:37:05+00:00,2020-12-18 07:37:04+00:00,1371.0,16.0,2015.0,5500.0,30542.0,2020-07-30 09:01:53+00:00,7.7.0,108.0,A flexible framework of neural networks for deep learning.,2477.0,1735.0,317.0,32,https://pypi.org/project/chainer,2020-07-30 09:01:53+00:00,742.0,20445.0,20445.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n59,PyMC3,pymc-devs/pymc3,pymc3,,,probabilistics,,https://github.com/pymc-devs/pymc3,https://github.com/pymc-devs/pymc3,Apache-2.0,2009-05-05 09:43:50+00:00,2020-12-18 08:00:07+00:00,2020-12-17 15:18:47+00:00,1316.0,150.0,1934.0,5437.0,7593.0,2020-12-07 15:59:43+00:00,3.10.0,30.0,Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano.,2120.0,1834.0,301.0,32,https://pypi.org/project/pymc3,2020-12-07 15:45:00+00:00,286.0,130997.0,130998.0,,,,True,1,145.0,,,,,,,,,,,,,,,,,,,,,,,\n60,Beam,apache/beam,apache-beam,,,data-pipelines,,https://github.com/apache/beam,https://github.com/apache/beam,Apache-2.0,2016-02-02 08:00:06+00:00,2020-12-18 09:53:53+00:00,2020-12-18 05:11:46+00:00,2739.0,115.0,,4450.0,30022.0,2020-12-11 21:24:20+00:00,2.26.0,29.0,\"Unified programming model to define and execute data processing pipelines, including ETL, batch and stream processing.\",186.0,,979.0,32,https://pypi.org/project/apache-beam,2020-12-11 19:58:03+00:00,186.0,1772192.0,1772192.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n61,xmltodict,martinblech/xmltodict,xmltodict,,,data-loading,,https://github.com/martinblech/xmltodict,https://github.com/martinblech/xmltodict,MIT,2012-04-17 14:38:21+00:00,2020-11-05 01:54:38+00:00,2020-04-26 05:15:03+00:00,393.0,63.0,134.0,4199.0,205.0,2019-02-11 07:00:26+00:00,0.12.0,27.0,Python module that makes working with XML feel like you are working with JSON.,27539.0,19305.0,41.0,32,https://pypi.org/project/xmltodict,2019-02-11 07:00:26+00:00,8234.0,4307208.0,4307208.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n62,Tablib,jazzband/tablib,tablib,,,data-loading,,https://github.com/jazzband/tablib,https://github.com/jazzband/tablib,MIT,2011-03-28 02:36:50+00:00,2020-12-13 06:03:08+00:00,2020-12-11 07:22:54+00:00,557.0,34.0,197.0,3816.0,1123.0,2020-12-05 14:56:28+00:00,3.0.0,38.0,\"Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c.\",11122.0,8764.0,110.0,32,https://pypi.org/project/tablib,2020-12-05 14:56:28+00:00,2358.0,616548.0,616548.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n63,tensorflow-hub,tensorflow/hub,tensorflow-hub,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42+00:00,2020-12-16 13:51:04+00:00,2020-12-16 13:50:57+00:00,1409.0,43.0,489.0,2654.0,805.0,2020-10-29 15:10:15+00:00,0.10.0,13.0,A library for transfer learning by reusing parts of TensorFlow models.,5014.0,4700.0,65.0,32,https://pypi.org/project/tensorflow-hub,2020-10-29 14:53:02+00:00,314.0,1309174.0,1309174.0,,,,True,1,,,,,,,,,,,,,,6.0,,,,,,,,,,\n64,TensorFlow Datasets,tensorflow/datasets,tensorflow-datasets,,,data-loading,['tensorflow'],https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22+00:00,2020-12-18 07:30:07+00:00,2020-12-17 23:05:42+00:00,881.0,380.0,496.0,2569.0,3638.0,2020-11-04 12:02:52+00:00,4.1.0,19.0,\"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...\",3217.0,3115.0,177.0,32,https://pypi.org/project/tensorflow-datasets,2020-10-09 17:47:49+00:00,102.0,532463.0,532463.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n65,GeoPandas,geopandas/geopandas,geopandas,,,geospatial-data,['pandas'],https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47+00:00,2020-12-18 08:43:17+00:00,2020-12-07 09:34:03+00:00,528.0,294.0,642.0,2394.0,1300.0,2020-07-15 17:59:00+00:00,0.8.1,34.0,Python tools for geographic data.,7745.0,6579.0,126.0,32,https://pypi.org/project/geopandas,2020-06-24 13:38:40+00:00,1166.0,456025.0,456040.0,,,,True,1,826.0,,,,,,,,,,,,,,,,,,,,,,,\n66,Thinc,explosion/thinc,thinc,,,ml-frameworks,,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59+00:00,2020-12-17 13:25:56+00:00,2020-12-16 11:39:31+00:00,185.0,14.0,80.0,2120.0,4865.0,2020-12-11 09:45:43+00:00,7.4.5,182.0,\"A refreshing functional take on deep learning, compatible with your favorite libraries.\",11193.0,10055.0,33.0,32,https://pypi.org/project/thinc,2020-12-16 23:18:41+00:00,1138.0,962042.0,962042.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n67,xarray,pydata/xarray,xarray,,,data-containers,,https://github.com/pydata/xarray,https://github.com/pydata/xarray,Apache-2.0,2013-09-30 17:21:10+00:00,2020-12-17 22:54:15+00:00,2020-12-17 22:54:14+00:00,609.0,766.0,1842.0,1876.0,3428.0,2020-11-30 21:28:55+00:00,0.16.2,55.0,N-D labeled arrays and datasets in Python.,5756.0,4624.0,286.0,32,https://pypi.org/project/xarray,2020-11-30 21:26:20+00:00,1132.0,303893.0,303893.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n68,imageio,imageio/imageio,imageio,,,image,,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45+00:00,2020-12-11 13:32:14+00:00,2020-12-07 13:48:21+00:00,160.0,60.0,269.0,815.0,1125.0,2020-07-10 07:45:22+00:00,2.9.0,31.0,Python library for reading and writing image data.,37314.0,33476.0,69.0,32,https://pypi.org/project/imageio,2020-07-06 13:20:41+00:00,3838.0,1700880.0,1700880.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n69,DeepSpeech,mozilla/DeepSpeech,deepspeech,,,audio,['tensorflow'],https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53+00:00,2020-12-17 23:32:06+00:00,2020-12-17 08:59:36+00:00,2959.0,80.0,1819.0,16055.0,3318.0,2020-12-10 15:58:47+00:00,0.9.3,100.0,\"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..\",393.0,364.0,152.0,31,https://pypi.org/project/deepspeech,2020-11-05 10:06:04+00:00,29.0,16505.0,30431.0,,,,True,1,376028.0,,,,,,,,,,,,,,,,,,,,,,,\n70,fairseq,pytorch/fairseq,fairseq,,,nlp,['pytorch'],https://github.com/pytorch/fairseq,https://github.com/pytorch/fairseq,MIT,2017-08-29 16:26:12+00:00,2020-12-18 05:57:43+00:00,2020-12-17 03:07:49+00:00,2691.0,569.0,1710.0,10715.0,1675.0,2020-11-21 20:52:43+00:00,0.10.1,12.0,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,265.0,245.0,279.0,31,https://pypi.org/project/fairseq,2020-11-21 20:52:43+00:00,20.0,8548.0,8549.0,,,,True,1,46.0,,,,,,,,,,,,,,,,,,,,,,,\n71,tensor2tensor,tensorflow/tensor2tensor,tensor2tensor,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/tensor2tensor,https://github.com/tensorflow/tensor2tensor,Apache-2.0,2017-06-15 16:57:39+00:00,2020-12-15 01:23:04+00:00,2020-11-16 14:28:10+00:00,2682.0,544.0,662.0,10690.0,4345.0,2020-06-17 16:15:36+00:00,1.15.7,79.0,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,940.0,858.0,230.0,31,https://pypi.org/project/tensor2tensor,2020-06-17 16:15:36+00:00,82.0,52215.0,52215.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n72,ChatterBot,gunthercox/ChatterBot,chatterbot,,,nlp,,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00+00:00,2020-12-03 22:49:16+00:00,2020-08-20 21:16:14+00:00,3563.0,196.0,1217.0,10642.0,1847.0,2020-08-22 18:42:43+00:00,1.0.8,86.0,\"ChatterBot is a machine learning, conversational dialog engine for creating chat bots.\",3652.0,2972.0,103.0,31,https://pypi.org/project/chatterbot,2020-08-22 18:40:36+00:00,680.0,20484.0,20484.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n73,pyecharts,pyecharts/pyecharts,pyecharts,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,data-viz,['jupyter'],https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25+00:00,2020-10-30 03:17:30+00:00,2020-10-29 15:09:15+00:00,2281.0,29.0,1308.0,10221.0,1509.0,2020-10-29 15:14:08+00:00,1.9.0,66.0,Python Echarts Plotting Library.,1663.0,1381.0,28.0,31,https://pypi.org/project/pyecharts,2020-10-29 15:14:08+00:00,282.0,27178.0,27178.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n74,wordcloud,amueller/word_cloud,wordcloud,,,data-viz,,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59+00:00,2020-11-11 22:07:32+00:00,2020-11-11 21:35:51+00:00,2001.0,91.0,343.0,7724.0,540.0,2020-11-11 21:41:02+00:00,1.8.1,16.0,A little word cloud generator in Python.,9041.0,7937.0,58.0,31,https://pypi.org/project/wordcloud,2020-11-11 21:41:02+00:00,1104.0,258469.0,258469.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n75,Catboost,catboost/catboost,catboost,,,ml-frameworks,,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04+00:00,2020-12-18 05:12:01+00:00,2020-12-18 05:11:57+00:00,848.0,293.0,1017.0,5598.0,13883.0,2020-11-18 14:56:33+00:00,0.24.3,89.0,\"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..\",81.0,,701.0,31,https://pypi.org/project/catboost,2020-08-26 22:16:16+00:00,81.0,619533.0,620697.0,,,,True,2,45423.0,,,,,,,,,,,,,,,,,,,,,,,\n76,Hyperopt,hyperopt/hyperopt,hyperopt,,,hyperopt,,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59+00:00,2020-11-18 08:38:03+00:00,2020-11-18 08:38:01+00:00,841.0,322.0,219.0,5266.0,1167.0,2020-10-07 09:52:56+00:00,0.2.5,11.0,Distributed Asynchronous Hyperparameter Optimization in Python.,2878.0,2374.0,83.0,31,https://pypi.org/project/hyperopt,2020-10-07 09:52:56+00:00,504.0,521859.0,521859.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n77,folium,python-visualization/folium,folium,,,geospatial-data,,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35+00:00,2020-12-13 17:58:25+00:00,2020-11-29 11:59:51+00:00,1855.0,143.0,680.0,5042.0,1460.0,2020-05-07 13:33:22+00:00,0.11.0,22.0,Python Data. Leaflet.js Maps.,8681.0,7713.0,116.0,31,https://pypi.org/project/folium,2020-05-07 13:33:22+00:00,968.0,263172.0,263172.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n78,sentencepiece,google/sentencepiece,sentencepiece,,,nlp,,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48+00:00,2020-12-12 08:07:26+00:00,2020-12-12 08:07:24+00:00,595.0,36.0,360.0,4641.0,639.0,2020-10-24 05:57:45+00:00,0.1.94,29.0,Unsupervised text tokenizer for Neural Network-based text generation.,5095.0,4975.0,46.0,31,https://pypi.org/project/sentencepiece,2020-10-24 05:57:45+00:00,120.0,1298004.0,1298320.0,,,,True,1,8861.0,,,,,,,,,,,,,,,,,,,,,,,\n79,tensorflow-probability,tensorflow/probability,tensorflow-probability,,,probabilistics,['tensorflow'],https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54+00:00,2020-12-16 20:39:58+00:00,2020-12-16 20:39:54+00:00,822.0,409.0,503.0,3165.0,10130.0,2020-10-09 23:49:08+00:00,0.11.1,33.0,Probabilistic reasoning and statistical analysis in TensorFlow.,253.0,1.0,397.0,31,https://pypi.org/project/tensorflow-probability,2020-11-11 05:06:46+00:00,252.0,261227.0,261227.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n80,Elasticsearch DSL,elastic/elasticsearch-dsl-py,elasticsearch-dsl,,,db-clients,,https://github.com/elastic/elasticsearch-dsl-py,https://github.com/elastic/elasticsearch-dsl-py,Apache-2.0,2014-03-05 16:19:39+00:00,2020-12-09 17:31:23+00:00,2020-12-08 20:53:06+00:00,665.0,54.0,1093.0,3116.0,1007.0,2020-09-17 13:45:33+00:00,7.3.0,32.0,High level Python client for Elasticsearch.,5578.0,4022.0,121.0,31,https://pypi.org/project/elasticsearch-dsl,2020-09-17 13:41:36+00:00,1556.0,941856.0,941863.0,,,,True,2,21.0,,,,,,,,,,,,,,,,,,,,,,,\n81,geopy,geopy/geopy,geopy,,,geospatial-data,,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28+00:00,2020-11-16 12:27:47+00:00,2020-09-13 20:17:58+00:00,521.0,27.0,204.0,3105.0,970.0,2020-06-27 20:47:54+00:00,2.0.0,56.0,Geocoding library for Python.,21915.0,14671.0,115.0,31,https://pypi.org/project/geopy,2020-06-27 20:42:36+00:00,7244.0,2575635.0,2575635.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n82,scikit-optimize,scikit-optimize/scikit-optimize,scikit-optimize,,,hyperopt,,https://github.com/scikit-optimize/scikit-optimize,https://github.com/scikit-optimize/scikit-optimize,BSD-3-Clause,2016-03-20 21:10:54+00:00,2020-12-04 21:07:23+00:00,2020-09-29 13:32:21+00:00,366.0,160.0,352.0,1987.0,1540.0,2020-09-04 09:08:10+00:00,0.8.1,22.0,Sequential model-based optimization with a `scipy.optimize` interface.,1403.0,1243.0,67.0,31,https://pypi.org/project/scikit-optimize,2020-09-04 09:08:10+00:00,160.0,546541.0,546541.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n83,Prometheus Client,prometheus/client_python,prometheus_client,conda-forge/prometheus_client,,db-clients,,https://github.com/prometheus/client_python,https://github.com/prometheus/client_python,Apache-2.0,2015-02-10 22:47:25+00:00,2020-11-24 10:28:49+00:00,2020-11-24 10:28:43+00:00,493.0,27.0,284.0,1935.0,406.0,2020-11-16 13:40:13+00:00,0.9.0,33.0,Prometheus instrumentation library for Python applications.,3738.0,,95.0,31,https://pypi.org/project/prometheus_client,2019-06-20 13:35:09+00:00,3738.0,10033781.0,10033781.0,https://anaconda.org/conda-forge/prometheus_client,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n84,MNE,mne-tools/mne-python,mne,,,medical-data,,https://github.com/mne-tools/mne-python,https://github.com/mne-tools/mne-python,BSD-3-Clause,2011-01-28 03:31:13+00:00,2020-12-18 05:23:53+00:00,2020-12-17 18:35:13+00:00,829.0,301.0,3058.0,1453.0,15668.0,2020-12-17 15:32:54+00:00,0.22.0,50.0,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,949.0,751.0,237.0,31,https://pypi.org/project/mne,2020-12-17 15:32:54+00:00,198.0,41419.0,41419.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n85,influxdb,influxdata/influxdb-python,influxdb,,,db-clients,,https://github.com/influxdata/influxdb-python,https://github.com/influxdata/influxdb-python,MIT,2013-11-05 19:27:16+00:00,2020-12-06 21:24:47+00:00,2020-11-11 21:03:24+00:00,479.0,130.0,366.0,1439.0,961.0,2020-11-11 21:23:41+00:00,5.3.1,54.0,Python client for InfluxDB.,5841.0,3731.0,133.0,31,https://pypi.org/project/influxdb,2020-11-11 21:23:41+00:00,2110.0,1097670.0,1097670.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n86,Cassandra Driver,datastax/python-driver,cassandra-driver,conda-forge/cassandra-driver,,db-clients,,https://github.com/datastax/python-driver,https://github.com/datastax/python-driver,Apache-2.0,2013-07-08 19:02:31+00:00,2020-11-30 17:16:16+00:00,2020-11-11 00:22:01+00:00,446.0,13.0,,1200.0,5939.0,2020-06-18 14:44:49+00:00,3.24.0,70.0,DataStax Python Driver for Apache Cassandra.,3495.0,2309.0,174.0,31,https://pypi.org/project/cassandra-driver,2020-06-18 14:44:49+00:00,1186.0,540522.0,540522.0,https://anaconda.org/conda-forge/cassandra-driver,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n87,fastText,facebookresearch/fastText,fasttext,,,nlp,,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42+00:00,2020-10-31 15:50:36+00:00,2020-07-18 00:20:40+00:00,4198.0,400.0,588.0,22024.0,379.0,2020-04-28 09:54:50+00:00,0.9.2,35.0,Library for fast text representation and classification.,1561.0,1371.0,58.0,30,https://pypi.org/project/fasttext,2020-04-28 09:54:50+00:00,190.0,115416.0,115416.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n88,zipline,quantopian/zipline,zipline,,,financial-data,,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29+00:00,2020-12-17 19:07:14+00:00,2020-10-14 16:36:49+00:00,3590.0,318.0,644.0,12921.0,6226.0,2020-10-05 15:46:20.429000+00:00,1.4.1,30.0,\"Zipline, a Pythonic Algorithmic Trading Library.\",730.0,651.0,151.0,30,https://pypi.org/project/zipline,2020-10-05 15:46:20.429000+00:00,79.0,3466.0,3466.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n89,Prophet,facebook/prophet,fbprophet,,,time-series-data,,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08+00:00,2020-12-08 23:35:56+00:00,2020-12-08 23:35:54+00:00,3393.0,91.0,1390.0,11963.0,603.0,2020-09-05 16:12:50+00:00,0.7.1,14.0,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,150.0,,121.0,30,https://pypi.org/project/fbprophet,2020-09-05 16:12:50+00:00,150.0,699093.0,699104.0,,,,True,1,518.0,,,,,,,,,,,,,,,,,,,,,,,\n90,horovod,horovod/horovod,horovod,,,distributed-ml,,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59+00:00,2020-12-17 23:41:36+00:00,2020-12-17 20:07:50+00:00,1681.0,254.0,1357.0,10566.0,821.0,2020-11-23 23:57:42+00:00,0.21.0,60.0,\"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.\",318.0,298.0,109.0,30,https://pypi.org/project/horovod,2020-10-01 14:54:24+00:00,20.0,106000.0,106000.0,,,,True,1,,stable/horovod,,,,,,,,,,,,,,,,,,,,,,\n91,flair,flairNLP/flair,flair,,,nlp,['pytorch'],https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,MIT,2018-06-11 11:04:18+00:00,2020-12-18 07:55:02+00:00,2020-12-17 06:42:58+00:00,1405.0,113.0,1287.0,9696.0,2984.0,2020-12-01 19:35:00+00:00,0.7,19.0,A very simple framework for state-of-the-art Natural Language Processing (NLP).,610.0,562.0,156.0,30,https://pypi.org/project/flair,2020-12-01 19:02:38+00:00,48.0,32315.0,32315.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n92,TFlearn,tflearn/tflearn,tflearn,,,ml-frameworks,['tensorflow'],https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,MIT,2016-03-31 12:05:53+00:00,2020-11-30 04:35:03+00:00,2020-11-30 04:34:51+00:00,2423.0,574.0,358.0,9480.0,613.0,2020-11-11 19:26:11+00:00,0.5.0,8.0,Deep learning library featuring a higher-level API for TensorFlow.,3313.0,2832.0,128.0,30,https://pypi.org/project/tflearn,2020-11-11 19:13:47+00:00,481.0,16190.0,16190.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n93,Vowpal Wabbit,VowpalWabbit/vowpal_wabbit,vowpalwabbit,,,ml-frameworks,,https://github.com/VowpalWabbit/vowpal_wabbit,https://github.com/VowpalWabbit/vowpal_wabbit,BSD-3-Clause,2009-07-31 19:36:58+00:00,2020-12-18 03:19:43+00:00,2020-12-17 22:32:00+00:00,1696.0,161.0,855.0,7355.0,8965.0,2020-11-12 14:41:09+00:00,8.9.0,12.0,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,94.0,86.0,296.0,30,https://pypi.org/project/vowpalwabbit,2020-11-12 14:41:09+00:00,8.0,16175.0,16175.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n94,Prefect,PrefectHQ/prefect,prefect,conda-forge/prefect,,data-pipelines,,https://github.com/PrefectHQ/prefect,https://github.com/PrefectHQ/prefect,Apache-2.0,2018-06-29 21:59:26+00:00,2020-12-17 22:57:00+00:00,2020-12-17 22:56:58+00:00,468.0,234.0,1236.0,5568.0,12902.0,2020-12-16 23:30:03+00:00,0.14.0,77.0,The easiest way to automate your data.,215.0,213.0,167.0,30,https://pypi.org/project/prefect,2020-12-16 23:30:03+00:00,2.0,41203.0,41203.0,https://anaconda.org/conda-forge/prefect,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n95,SpeechRecognition,Uberi/speech_recognition,SpeechRecognition,,,audio,,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54+00:00,2020-12-06 16:23:37+00:00,2019-07-02 17:29:47+00:00,1827.0,194.0,269.0,5287.0,360.0,2017-12-05 14:05:14+00:00,3.8.1,52.0,\"Speech recognition module for Python, supporting several engines and APIs, online and offline.\",7190.0,6102.0,41.0,30,https://pypi.org/project/SpeechRecognition,2017-12-05 13:58:29+00:00,1088.0,126852.0,126852.0,,,,False,1,,,,,,,,,,,,,,,,,,,,,,,,\n96,CuPy,cupy/cupy,cupy,,,gpu-utilities,,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45+00:00,2020-12-18 08:50:43+00:00,2020-12-18 08:20:09+00:00,427.0,357.0,845.0,4729.0,20054.0,2020-11-26 07:02:45+00:00,8.2.0,83.0,A NumPy-compatible array library accelerated by CUDA.,816.0,624.0,251.0,30,https://pypi.org/project/cupy,2020-11-26 07:01:08+00:00,192.0,8843.0,9870.0,,,,True,1,2743.0,,,cupy/cupy,https://hub.docker.com/r/cupy/cupy,2020-12-18 08:25:11.465663+00:00,6.0,47458.0,,,,,,,,,,,,,,,,\n97,Optuna,optuna/optuna,optuna,,,hyperopt,,https://github.com/optuna/optuna,https://github.com/optuna/optuna,MIT,2018-02-21 06:12:56+00:00,2020-12-18 10:43:02+00:00,2020-12-18 06:59:41+00:00,428.0,161.0,438.0,3740.0,8466.0,2020-11-04 04:28:46+00:00,2.3.0,33.0,A hyperparameter optimization framework.,845.0,793.0,119.0,30,https://pypi.org/project/optuna,2020-11-04 04:29:39+00:00,52.0,162420.0,162420.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n98,MLxtend,rasbt/mlxtend,mlxtend,conda-forge/mlxtend,,others,['sklearn'],https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16+00:00,2020-12-03 23:11:48+00:00,2020-12-03 23:11:47+00:00,683.0,99.0,260.0,3253.0,1140.0,2020-11-26 04:18:15+00:00,0.18.0,46.0,A library of extension and helper modules for Python's data analysis and machine learning libraries.,2291.0,2196.0,78.0,30,https://pypi.org/project/mlxtend,2020-11-26 04:18:15+00:00,95.0,221592.0,221592.0,https://anaconda.org/conda-forge/mlxtend,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n99,bqplot,bloomberg/bqplot,bqplot,,,data-viz,['jupyter'],https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18+00:00,2020-12-18 07:40:16+00:00,2020-12-18 07:40:15+00:00,403.0,204.0,313.0,2960.0,3200.0,2020-11-05 14:39:24+00:00,0.12.19,87.0,Plotting library for IPython/Jupyter notebooks.,1242.0,1120.0,51.0,30,https://pypi.org/project/bqplot,2020-11-05 14:39:24+00:00,112.0,16931.0,165959.0,,,,True,2,,,,,,,,,bqplot,https://www.npmjs.com/package/bqplot,2020-10-12 19:58:11.526000+00:00,10.0,149028.0,,,,,,,,,,,\n100,torchtext,pytorch/text,torchtext,,,nlp,['pytorch'],https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03+00:00,2020-12-18 10:27:51+00:00,2020-12-17 01:21:32+00:00,584.0,261.0,309.0,2590.0,688.0,2020-12-10 17:03:55+00:00,0.8.1,12.0,Data loaders and abstractions for text and NLP.,4015.0,3333.0,98.0,30,https://pypi.org/project/torchtext,2020-12-10 16:28:00+00:00,682.0,128361.0,128361.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n101,mrjob,Yelp/mrjob,mrjob,,,data-pipelines,,https://github.com/Yelp/mrjob,https://github.com/Yelp/mrjob,Apache-2.0,2010-10-13 18:35:21+00:00,2020-11-16 22:20:27+00:00,2020-11-16 22:20:52+00:00,590.0,199.0,1089.0,2523.0,8622.0,2020-09-17 22:26:01+00:00,0.7.4,60.0,Run MapReduce jobs on Hadoop or Amazon Web Services.,743.0,631.0,142.0,30,https://pypi.org/project/mrjob,2020-09-17 22:26:01+00:00,112.0,124561.0,124561.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n102,confluent-kafka-python,confluentinc/confluent-kafka-python,confluent-kafka,,,db-clients,,https://github.com/confluentinc/confluent-kafka-python,https://github.com/confluentinc/confluent-kafka-python,Apache-2.0,2016-04-14 07:40:41+00:00,2020-12-17 16:57:48+00:00,2020-11-24 15:38:23+00:00,543.0,230.0,465.0,2077.0,628.0,2020-07-22 08:23:51+00:00,1.5.0,20.0,Confluent's Kafka Python Client.,2214.0,1912.0,66.0,30,https://pypi.org/project/confluent-kafka,2020-07-22 07:50:57+00:00,302.0,954548.0,954548.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n103,pyodbc,mkleehammer/pyodbc,pyodbc,,,db-clients,,https://github.com/mkleehammer/pyodbc,https://github.com/mkleehammer/pyodbc,MIT,2008-10-03 15:19:37+00:00,2020-11-26 00:31:04+00:00,2020-10-26 13:28:37+00:00,407.0,215.0,510.0,1948.0,347.0,2020-02-08 18:09:57+00:00,4.0.30,48.0,Python ODBC bridge.,3262.0,,36.0,30,https://pypi.org/project/pyodbc,2020-02-10 15:43:28+00:00,3262.0,4088363.0,4088363.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n104,smart-open,RaRe-Technologies/smart_open,smart-open,,,data-loading,,https://github.com/RaRe-Technologies/smart_open,https://github.com/RaRe-Technologies/smart_open,MIT,2015-01-02 13:05:52+00:00,2020-12-18 04:57:15+00:00,2020-12-10 02:54:39+00:00,261.0,69.0,224.0,1859.0,821.0,2020-11-27 06:14:57+00:00,4.0.1,44.0,\"Utils for streaming large files (S3, HDFS, gzip, bz2...).\",640.0,,68.0,30,https://pypi.org/project/smart-open,2020-11-27 06:14:05+00:00,640.0,5254257.0,5254257.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n105,mysqlclient,PyMySQL/mysqlclient,mysqlclient,conda-forge/mysqlclient,,db-clients,,https://github.com/PyMySQL/mysqlclient,https://github.com/PyMySQL/mysqlclient,GPL-2.0,2014-04-28 05:09:06+00:00,2020-12-11 03:30:10+00:00,2020-12-11 03:30:08+00:00,305.0,6.0,244.0,1839.0,978.0,2020-12-10 04:03:30+00:00,2.0.2,30.0,MySQL database connector for Python (with Python 3 support).,13536.0,,64.0,30,https://pypi.org/project/mysqlclient,2020-12-10 04:03:30+00:00,13536.0,1849328.0,1849429.0,https://anaconda.org/conda-forge/mysqlclient,,,False,2,5159.0,,,,,,,,,,,,,,,,,,,,,,,\n106,python-magic,ahupp/python-magic,python-magic,,,data-loading,,https://github.com/ahupp/python-magic,https://github.com/ahupp/python-magic,MIT,2010-03-31 22:40:33+00:00,2020-12-11 19:57:08+00:00,2020-12-11 19:57:07+00:00,202.0,30.0,125.0,1788.0,244.0,2020-05-06 02:30:25+00:00,0.4.18,18.0,A python wrapper for libmagic.,16022.0,10890.0,47.0,30,https://pypi.org/project/python-magic,2020-05-06 02:30:25+00:00,5132.0,1511789.0,1511789.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n107,pandas-datareader,pydata/pandas-datareader,pandas-datareader,,,data-loading,['pandas'],https://github.com/pydata/pandas-datareader,https://github.com/pydata/pandas-datareader,BSD-3-Clause,2015-01-15 00:34:19+00:00,2020-12-16 09:11:15+00:00,2020-09-02 15:23:21+00:00,489.0,69.0,368.0,1758.0,762.0,2020-07-10 10:04:14+00:00,0.9.0,21.0,Extract data from a wide range of Internet sources into a pandas DataFrame.,8500.0,7094.0,76.0,30,https://pypi.org/project/pandas-datareader,2020-07-10 10:04:14+00:00,1406.0,104575.0,104575.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n108,opencv-python,skvark/opencv-python,opencv-python,,,image,,https://github.com/skvark/opencv-python,https://github.com/skvark/opencv-python,MIT,2016-04-08 13:36:40+00:00,2020-12-11 17:47:37+00:00,2020-12-11 17:47:36+00:00,296.0,19.0,355.0,1638.0,609.0,2020-11-03 19:09:10+00:00,46,46.0,\"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..\",12560.0,,27.0,30,https://pypi.org/project/opencv-python,2020-11-02 16:36:07+00:00,12560.0,2606119.0,2606119.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n109,Motor,mongodb/motor,motor,,,db-clients,,https://github.com/mongodb/motor,https://github.com/mongodb/motor,Apache-2.0,2013-01-11 21:34:44+00:00,2020-12-08 14:16:53+00:00,2020-09-24 23:47:34+00:00,140.0,1.0,,1597.0,1609.0,2020-09-24 23:26:10+00:00,2.3.0,34.0,Motor - the async Python driver for MongoDB and Tornado or asyncio.,5113.0,3323.0,28.0,30,https://pypi.org/project/motor,2020-09-24 23:19:56+00:00,1790.0,132949.0,132949.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n110,numexpr,pydata/numexpr,numexpr,,,data-containers,,https://github.com/pydata/numexpr,https://github.com/pydata/numexpr,MIT,2013-11-30 22:33:48+00:00,2020-12-06 01:59:55+00:00,2020-09-24 01:49:10+00:00,161.0,53.0,242.0,1486.0,651.0,2020-01-05 17:55:57+00:00,2.7.1,38.0,\"Fast numerical array expression evaluator for Python, NumPy, PyTables, pandas, bcolz and more.\",5482.0,,51.0,30,https://pypi.org/project/numexpr,2020-01-05 17:55:57+00:00,5482.0,903627.0,903627.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n111,Rasterio,mapbox/rasterio,rasterio,,,geospatial-data,,https://github.com/mapbox/rasterio,https://github.com/mapbox/rasterio,BSD-3-Clause,2013-11-04 16:36:27+00:00,2020-12-15 00:21:47+00:00,2020-12-15 00:21:46+00:00,387.0,135.0,1183.0,1382.0,3239.0,2020-10-21 01:56:29+00:00,1.1.8,117.0,Rasterio reads and writes geospatial raster datasets.,3348.0,2498.0,109.0,30,https://pypi.org/project/rasterio,2020-12-13 18:35:39+00:00,850.0,177987.0,177997.0,,,,True,2,702.0,,,,,,,,,,,,,,,,,,,,,,,\n112,SageMaker SDK,aws/sagemaker-python-sdk,sagemaker,,,ml-experiments,\"['mxnet', 'tensorflow']\",https://github.com/aws/sagemaker-python-sdk,https://github.com/aws/sagemaker-python-sdk,Apache-2.0,2017-11-14 01:03:33+00:00,2020-12-17 21:36:29+00:00,2020-12-16 23:48:48+00:00,541.0,190.0,511.0,1278.0,1759.0,2020-12-16 23:50:38+00:00,2.20.0,293.0,A library for training and deploying machine learning models on Amazon SageMaker.,557.0,529.0,157.0,30,https://pypi.org/project/sagemaker,2020-12-16 23:50:38+00:00,28.0,367509.0,367509.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n113,TF Addons,tensorflow/addons,tensorflow-addons,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17+00:00,2020-12-18 10:31:49+00:00,2020-12-18 05:59:57+00:00,390.0,157.0,603.0,1126.0,1302.0,2020-08-27 03:29:56+00:00,0.11.2,23.0,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,1767.0,1758.0,144.0,30,https://pypi.org/project/tensorflow-addons,2020-10-11 19:34:04+00:00,9.0,413772.0,413772.0,,,,True,2,,,,,,,,,,,,,,-1.0,,,,,,,,,,\n114,Fiona,Toblerity/Fiona,fiona,,,geospatial-data,,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00+00:00,2020-12-02 19:46:20+00:00,2020-11-30 07:11:40+00:00,165.0,69.0,546.0,761.0,1093.0,2020-11-17 18:32:17+00:00,1.8.18,96.0,Fiona reads and writes geographic data files.,5814.0,4626.0,65.0,30,https://pypi.org/project/fiona,2020-11-17 18:32:17+00:00,1188.0,532745.0,532745.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n115,Nilearn,nilearn/nilearn,nilearn,,,medical-data,['sklearn'],https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23+00:00,2020-12-18 10:48:06+00:00,2020-12-17 09:05:58+00:00,371.0,378.0,1038.0,687.0,9272.0,2020-11-12 11:44:49+00:00,0.7.0,35.0,Machine learning for NeuroImaging in Python.,1126.0,824.0,158.0,30,https://pypi.org/project/nilearn,2020-11-12 11:44:49+00:00,302.0,13384.0,13384.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n116,You-Get,soimort/you-get,you-get,,,web-scraping,,https://github.com/soimort/you-get,https://github.com/soimort/you-get,MIT,2012-08-20 15:53:36+00:00,2020-12-18 06:53:59+00:00,2020-12-17 01:01:23+00:00,7865.0,349.0,,38141.0,2340.0,2020-11-18 15:43:18+00:00,0.4.1488,158.0,Dumb downloader that scrapes the web.,18.0,,221.0,29,https://pypi.org/project/you-get,2020-10-27 17:19:58+00:00,18.0,24918.0,28731.0,,,,True,1,327925.0,,you-get,,,,,,,,,,,,,,,,,,,,,\n117,Face Recognition,ageitgey/face_recognition,face_recognition,,,image,['pytorch'],https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39+00:00,2020-12-16 20:34:32+00:00,2020-09-26 15:32:59+00:00,10428.0,549.0,525.0,37729.0,211.0,2018-08-21 18:34:21+00:00,1.2.3,21.0,The world's simplest facial recognition api for Python and the command line.,406.0,,45.0,29,https://pypi.org/project/face_recognition,2018-08-21 18:34:21+00:00,406.0,32825.0,32834.0,,,,True,2,433.0,,,,,,,,,,,,,,,,,,,,,,,\n118,Glances,nicolargo/glances,glances,,,system-monitoring,,https://github.com/nicolargo/glances,https://github.com/nicolargo/glances,LGPL-3.0,2011-12-04 08:49:15+00:00,2020-12-13 21:21:03+00:00,2020-12-13 21:20:53+00:00,1117.0,189.0,1103.0,17311.0,3733.0,2020-08-20 08:36:13+00:00,3.1.5,50.0,\"Glances an Eye on your system. A top/htop alternative for GNU/Linux, BSD, Mac OS and Windows operating systems.\",302.0,252.0,133.0,29,https://pypi.org/project/glances,2020-08-19 08:51:13+00:00,50.0,38696.0,38702.0,,,,False,1,402.0,,,,,,,,,,,,,,,,,,,,,,,\n119,Magenta,magenta/magenta,magenta,,,audio,['tensorflow'],https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40+00:00,2020-12-03 14:10:02+00:00,2020-12-01 17:12:29+00:00,3283.0,286.0,532.0,16077.0,1370.0,2020-11-12 19:17:18+00:00,2.1.3,66.0,Magenta: Music and Art Generation with Machine Intelligence.,285.0,250.0,142.0,29,https://pypi.org/project/magenta,2020-11-12 19:17:18+00:00,35.0,4468.0,4468.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n120,PaddlePaddle,PaddlePaddle/Paddle,paddlepaddle,,,ml-frameworks,['paddle'],https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08+00:00,2020-12-18 10:31:57+00:00,2020-12-18 09:58:41+00:00,3354.0,2271.0,10153.0,13594.0,15069.0,2020-12-18 09:06:54+00:00,2.0.0-rc1,41.0,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,38.0,22.0,484.0,29,https://pypi.org/project/paddlepaddle,2020-12-14 08:03:41+00:00,16.0,7326.0,7619.0,,,,True,3,15244.0,,,,,,,,,,,,,,,,,,,,,,,\n121,Faiss,facebookresearch/faiss,faiss,,,nn-search,,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05+00:00,2020-12-18 01:17:23+00:00,2020-12-18 01:17:09+00:00,2052.0,98.0,1209.0,11865.0,413.0,2020-10-22 13:28:27+00:00,1.6.4,9.0,A library for efficient similarity search and clustering of dense vectors.,303.0,288.0,70.0,29,https://pypi.org/project/faiss,2019-04-16 14:14:20+00:00,15.0,8835.0,8835.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n122,Requests-HTML,psf/requests-html,requests-html,,,web-scraping,,https://github.com/psf/requests-html,https://github.com/psf/requests-html,MIT,2018-02-24 20:11:02+00:00,2020-12-05 04:48:45+00:00,2020-05-10 19:40:04+00:00,766.0,131.0,188.0,11341.0,449.0,2019-02-18 21:38:41+00:00,0.10.0,36.0,Pythonic HTML Parsing for Humans.,3764.0,3400.0,62.0,29,https://pypi.org/project/requests-html,2019-02-17 20:14:17+00:00,364.0,270495.0,270495.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n123,newspaper3k,codelucas/newspaper,newspaper3k,,,web-scraping,,https://github.com/codelucas/newspaper,https://github.com/codelucas/newspaper,MIT,2013-11-25 09:50:50+00:00,2020-12-17 10:44:25+00:00,2020-09-02 06:54:25+00:00,1681.0,413.0,242.0,10501.0,651.0,2018-09-28 04:58:18+00:00,0.2.8,18.0,\"News, full-text, and article metadata extraction in Python 3. Advanced docs:.\",2560.0,2116.0,103.0,29,https://pypi.org/project/newspaper3k,2018-09-28 04:58:18+00:00,444.0,28689.0,28689.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n124,Turi Create,apple/turicreate,turicreate,,,ml-frameworks,,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04+00:00,2020-11-18 17:14:31+00:00,2020-10-13 23:52:18+00:00,1057.0,465.0,1239.0,10045.0,1565.0,2020-09-30 22:51:40+00:00,6.4.1,31.0,Turi Create simplifies the development of custom machine learning models.,251.0,217.0,81.0,29,https://pypi.org/project/turicreate,2020-09-30 22:51:40+00:00,34.0,11772.0,11867.0,,,,True,3,3434.0,,,,,,,,,,,,,,,,,,,,,,,\n125,Lime,marcotcr/lime,lime,,,interpretability,,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10+00:00,2020-12-18 00:46:14+00:00,2020-12-18 00:46:13+00:00,1338.0,46.0,432.0,8240.0,503.0,2020-04-03 22:05:03+00:00,0.2.0.0,37.0,Lime: Explaining the predictions of any machine learning classifier.,1070.0,942.0,56.0,29,https://pypi.org/project/lime,2020-04-03 22:04:32+00:00,128.0,169270.0,169270.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n126,Annoy,spotify/annoy,annoy,,,nn-search,,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40+00:00,2020-12-03 18:21:19+00:00,2020-12-03 18:21:18+00:00,850.0,25.0,264.0,7930.0,785.0,2020-09-18 16:07:59+00:00,1.17.0,43.0,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,1725.0,1365.0,68.0,29,https://pypi.org/project/annoy,2020-09-18 16:07:59+00:00,360.0,220730.0,220730.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n127,Pattern,clips/pattern,pattern,,,web-scraping,,https://github.com/clips/pattern,https://github.com/clips/pattern,BSD-3-Clause,2011-05-03 15:29:01+00:00,2020-12-03 13:45:30+00:00,2020-04-25 12:40:40+00:00,1499.0,159.0,75.0,7713.0,1434.0,,,2.0,\"Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis..\",1279.0,1013.0,30.0,29,https://pypi.org/project/pattern,2018-08-18 15:11:17+00:00,266.0,64802.0,64802.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n128,fuzzywuzzy,seatgeek/fuzzywuzzy,fuzzywuzzy,,,nlp,,https://github.com/seatgeek/fuzzywuzzy,https://github.com/seatgeek/fuzzywuzzy,GPL-2.0,2011-07-08 19:32:34+00:00,2020-12-17 21:21:25+00:00,2020-02-13 22:13:43+00:00,792.0,84.0,94.0,7686.0,379.0,2020-02-13 22:14:12+00:00,0.18.0,27.0,Fuzzy String Matching in Python.,10574.0,7368.0,67.0,29,https://pypi.org/project/fuzzywuzzy,2020-02-13 21:06:25+00:00,3206.0,2264547.0,2264547.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,,\n129,TextBlob,sloria/TextBlob,textblob,,,nlp,,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18+00:00,2020-12-17 11:18:09+00:00,2020-11-13 14:19:03+00:00,947.0,69.0,150.0,7451.0,535.0,2019-02-24 23:03:17+00:00,0.15.3,55.0,\"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..\",11848.0,9356.0,33.0,29,https://pypi.org/project/textblob,2019-02-24 23:03:17+00:00,2492.0,288996.0,288997.0,,,,True,2,88.0,,,,,,,,,,,,,,,,,,,,,,,\n130,MoviePy,Zulko/moviepy,moviepy,,,image,,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28+00:00,2020-11-25 17:36:43+00:00,2020-11-25 17:36:42+00:00,1021.0,337.0,629.0,7143.0,938.0,2020-05-07 16:29:35+00:00,1.0.3,84.0,Video editing with Python.,6496.0,5366.0,132.0,29,https://pypi.org/project/moviepy,2020-10-05 00:26:29+00:00,1130.0,140162.0,140162.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n131,Albumentations,albumentations-team/albumentations,albumentations,,,image,['pytorch'],https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50+00:00,2020-12-17 15:52:47+00:00,2020-12-17 13:35:42+00:00,869.0,148.0,224.0,6838.0,611.0,2020-11-29 14:30:07+00:00,0.5.2,44.0,Fast image augmentation library and easy to use wrapper around other libraries. Documentation:..,2349.0,2285.0,70.0,29,https://pypi.org/project/albumentations,2020-11-29 14:30:07+00:00,64.0,60413.0,60413.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n132,tensorboardX,lanpa/tensorboardX,tensorboardX,,,ml-experiments,,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19+00:00,2020-10-14 17:46:25+00:00,2020-07-05 17:29:00+00:00,768.0,72.0,341.0,6707.0,460.0,2020-07-05 17:54:10+00:00,2.0,12.0,\"tensorboard for pytorch (and chainer, mxnet, numpy, ...).\",10636.0,9302.0,64.0,29,https://pypi.org/project/tensorboardX,2019-12-31 14:04:21+00:00,1334.0,285523.0,285530.0,,,,True,2,287.0,,,,,,,,,,,,,,,,,,,,,,,\n133,pandas-profiling,pandas-profiling/pandas-profiling,pandas-profiling,conda-forge/pandas-profiling,,data-viz,\"['jupyter', 'pandas']\",https://github.com/pandas-profiling/pandas-profiling,https://github.com/pandas-profiling/pandas-profiling,MIT,2016-01-09 23:47:55+00:00,2020-12-14 16:34:27+00:00,2020-11-30 21:55:53+00:00,966.0,48.0,351.0,6462.0,726.0,2020-09-03 10:11:24+00:00,2.9.0,24.0,Create HTML profiling reports from pandas DataFrame objects.,2826.0,2666.0,61.0,29,https://pypi.org/project/pandas-profiling,2020-09-03 10:11:24+00:00,160.0,245725.0,245725.0,https://anaconda.org/conda-forge/pandas-profiling,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n134,Datasets,huggingface/datasets,datasets,,,web-scraping,,https://github.com/huggingface/datasets,https://github.com/huggingface/datasets,Apache-2.0,2020-03-26 09:23:22+00:00,2020-12-18 10:47:30+00:00,2020-12-18 10:47:29+00:00,595.0,262.0,278.0,5813.0,1114.0,2020-11-19 18:33:56+00:00,1.1.3,11.0,\"The largest hub of ready-to-use open-access datasets for ML models with fast, easy-to-use and efficient data..\",220.0,202.0,185.0,29,https://pypi.org/project/datasets,2020-11-19 18:07:51+00:00,18.0,24600.0,24600.0,,,,True,1,,,,,,,,,,,,,,1.0,,,,,,,,,,\n135,Pydub,jiaaro/pydub,pydub,,,audio,,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38+00:00,2020-12-14 17:09:25+00:00,2020-12-14 17:09:24+00:00,670.0,164.0,231.0,4980.0,722.0,2020-06-03 15:23:56+00:00,0.24.1,66.0,Manipulate audio with a simple and easy high level interface.,6668.0,5314.0,79.0,29,https://pypi.org/project/pydub,2020-06-03 15:23:56+00:00,1354.0,138637.0,138637.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n136,imbalanced-learn,scikit-learn-contrib/imbalanced-learn,imbalanced-learn,,,others,['sklearn'],https://github.com/scikit-learn-contrib/imbalanced-learn,https://github.com/scikit-learn-contrib/imbalanced-learn,MIT,2014-08-16 05:08:26+00:00,2020-11-24 15:00:35+00:00,2020-11-03 21:43:11+00:00,1024.0,47.0,401.0,4898.0,701.0,2020-06-09 10:45:32+00:00,0.7.0,26.0,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,3817.0,3537.0,51.0,29,https://pypi.org/project/imbalanced-learn,2020-06-09 10:39:03+00:00,280.0,734972.0,734972.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n137,UMAP,lmcinnes/umap,umap-learn,,,data-viz,,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17+00:00,2020-12-16 18:17:22+00:00,2020-12-16 18:17:21+00:00,466.0,201.0,207.0,4328.0,1270.0,2020-07-02 15:56:06+00:00,0.4.6,33.0,Uniform Manifold Approximation and Projection.,226.0,,67.0,29,https://pypi.org/project/umap-learn,2020-11-26 16:29:14+00:00,226.0,122580.0,122580.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n138,TinyDB,msiemens/tinydb,tinydb,,,data-containers,,https://github.com/msiemens/tinydb,https://github.com/msiemens/tinydb,MIT,2013-07-12 23:31:13+00:00,2020-12-05 15:21:25+00:00,2020-12-05 15:21:21+00:00,353.0,14.0,228.0,3888.0,593.0,2020-11-14 21:02:31+00:00,4.3.0,58.0,TinyDB is a lightweight document oriented database optimized for your happiness :).,1118.0,,61.0,29,https://pypi.org/project/tinydb,2020-11-14 21:02:29+00:00,1118.0,139620.0,139620.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n139,kaggle,Kaggle/kaggle-api,kaggle,,,ml-experiments,,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39+00:00,2020-12-03 05:16:08+00:00,2020-11-30 21:43:14+00:00,754.0,161.0,106.0,3714.0,137.0,2020-11-30 13:37:18+00:00,1.5.10,47.0,Official Kaggle API.,4613.0,4049.0,35.0,29,https://pypi.org/project/kaggle,2020-11-30 13:37:18+00:00,564.0,129579.0,129579.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n140,yfinance,ranaroussi/yfinance,yfinance,ranaroussi/yfinance,,financial-data,,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15+00:00,2020-12-17 03:27:27+00:00,2020-09-25 12:47:40+00:00,945.0,289.0,166.0,3649.0,243.0,2020-10-05 12:19:44+00:00,0.1.55,20.0,Yahoo! Finance market data downloader (+faster Pandas Datareader).,2317.0,2291.0,25.0,29,https://pypi.org/project/yfinance,2020-10-05 12:19:44+00:00,26.0,107299.0,107299.0,https://anaconda.org/ranaroussi/yfinance,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n141,Tesseract,madmaze/pytesseract,pytesseract,conda-forge/pytesseract,,ocr,,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49+00:00,2020-12-16 19:20:26+00:00,2020-12-16 19:20:17+00:00,503.0,7.0,235.0,3316.0,350.0,2020-12-15 05:24:52+00:00,0.3.7,24.0,Python-tesseract is an optical character recognition (OCR) tool for python.,1428.0,,34.0,29,https://pypi.org/project/pytesseract,2020-12-15 05:24:52+00:00,1428.0,307809.0,307809.0,https://anaconda.org/conda-forge/pytesseract,,,True,1,,,,,,,,,,,,,,-1.0,,,,,,,,,,\n142,sacred,IDSIA/sacred,sacred,,,ml-experiments,,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29+00:00,2020-12-17 22:23:01+00:00,2020-12-15 10:47:54+00:00,314.0,92.0,390.0,3226.0,1297.0,2020-12-14 15:21:05+00:00,0.8.2,27.0,\"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.\",897.0,743.0,90.0,29,https://pypi.org/project/sacred,2020-12-14 15:21:05+00:00,154.0,16653.0,16653.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n143,Koalas,databricks/koalas,koalas,conda-forge/koalas,,data-containers,\"['spark', 'pandas']\",https://github.com/databricks/koalas,https://github.com/databricks/koalas,Apache-2.0,2019-01-03 21:46:54+00:00,2020-12-18 01:39:59+00:00,2020-12-18 01:39:57+00:00,292.0,84.0,419.0,2537.0,1411.0,2020-12-11 21:10:40+00:00,1.5.0,42.0,Koalas: pandas API on Apache Spark.,67.0,66.0,47.0,29,https://pypi.org/project/koalas,2020-12-11 21:10:40+00:00,1.0,902431.0,902478.0,https://anaconda.org/conda-forge/koalas,,,True,2,996.0,,,,,,,,,,,,,,,,,,,,,,,\n144,PyQtGraph,pyqtgraph/pyqtgraph,pyqtgraph,conda-forge/pyqtgraph,,data-viz,,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21+00:00,2020-12-18 06:48:56+00:00,2020-12-18 06:48:55+00:00,791.0,288.0,429.0,2240.0,2276.0,2020-06-08 23:50:26+00:00,0.11.0,11.0,Fast data visualization and GUI tools for scientific / engineering applications.,890.0,,176.0,29,https://pypi.org/project/pyqtgraph,2020-06-08 23:50:26+00:00,890.0,35392.0,35392.0,https://anaconda.org/conda-forge/pyqtgraph,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n145,Keras Tuner,keras-team/keras-tuner,keras-tuner,,,hyperopt,['keras'],https://github.com/keras-team/keras-tuner,https://github.com/keras-team/keras-tuner,Apache-2.0,2019-06-06 22:38:21+00:00,2020-12-11 22:39:03+00:00,2020-12-09 20:19:05+00:00,249.0,145.0,132.0,2179.0,787.0,2020-11-20 19:13:23+00:00,1.0.2,5.0,Hyperparameter tuning for humans.,324.0,322.0,28.0,29,https://pypi.org/project/keras-tuner,2020-11-20 19:00:59+00:00,2.0,1150938.0,1150938.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n146,HoloViews,holoviz/holoviews,holoviews,,,data-viz,['jupyter'],https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22+00:00,2020-12-17 23:30:55+00:00,2020-12-16 13:07:43+00:00,290.0,664.0,1813.0,1761.0,10105.0,2020-12-03 18:36:32+00:00,1.14.0,58.0,\"With Holoviews, your data visualizes itself.\",170.0,,99.0,29,https://pypi.org/project/holoviews,2020-12-03 14:22:27+00:00,170.0,118159.0,126119.0,,,,True,2,,,,,,,,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,2020-05-24 13:49:54.205000+00:00,,7960.0,,,,,,,,,,,\n147,Lifelines,CamDavidsonPilon/lifelines,lifelines,,,medical-data,,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42+00:00,2020-12-11 17:32:01+00:00,2020-12-09 21:13:02+00:00,403.0,183.0,584.0,1510.0,2069.0,2020-12-09 21:14:01+00:00,0.25.7,152.0,Survival analysis in Python.,585.0,459.0,88.0,29,https://pypi.org/project/lifelines,2020-12-09 21:14:01+00:00,126.0,109311.0,109311.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n148,Geocoder,DenisCarriere/geocoder,geocoder,,,geospatial-data,,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21+00:00,2020-12-14 18:58:25+00:00,2018-10-12 15:53:05+00:00,249.0,64.0,215.0,1312.0,1251.0,2018-04-04 12:34:51+00:00,1.38.1,108.0,Python Geocoder.,3441.0,2865.0,74.0,29,https://pypi.org/project/geocoder,2018-04-04 12:34:51+00:00,576.0,227800.0,227800.0,,,,False,2,,,,,,,,,,,,,,,geocoder,,,,,,,,,\n149,PyTables,PyTables/PyTables,tables,,,data-containers,,https://github.com/PyTables/PyTables,https://github.com/PyTables/PyTables,BSD-2-Clause,2011-06-03 19:44:46+00:00,2020-12-18 06:47:00+00:00,2020-12-18 06:46:58+00:00,180.0,151.0,438.0,990.0,3847.0,2019-10-30 19:33:37+00:00,3.6.1,25.0,A Python package to manage extremely large amounts of data.,3754.0,,96.0,29,https://pypi.org/project/tables,2019-10-30 19:33:37+00:00,3754.0,652255.0,652257.0,,,,True,2,125.0,,,,,,,,,,,,,,,,,,,,,,,\n150,py2neo,technige/py2neo,py2neo,,,db-clients,,https://github.com/technige/py2neo,https://github.com/technige/py2neo,Apache-2.0,2011-07-03 10:01:07+00:00,2020-12-16 00:43:20+00:00,2020-12-11 22:06:25+00:00,196.0,25.0,689.0,955.0,2732.0,2020-11-21 09:50:58+00:00,2020.1.1,102.0,Py2neo is a comprehensive toolkit for working with Neo4j from within Python applications or from the command line.,1114.0,,31.0,29,https://pypi.org/project/py2neo,2020-11-21 09:51:22+00:00,1114.0,75739.0,75739.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n151,TensorFlow Transform,tensorflow/transform,tensorflow-transform,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53+00:00,2020-12-16 21:35:23+00:00,2020-12-16 21:11:41+00:00,161.0,32.0,113.0,842.0,557.0,2020-12-16 21:35:23+00:00,0.26.0,33.0,Input pipeline framework.,458.0,374.0,27.0,29,https://pypi.org/project/tensorflow-transform,2020-12-16 21:35:23+00:00,84.0,4243193.0,4243193.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n152,snakemake,snakemake/snakemake,snakemake,bioconda/snakemake,,ml-experiments,,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2019-10-04 14:58:11+00:00,2020-12-18 09:51:47+00:00,2020-12-18 09:50:36+00:00,175.0,303.0,200.0,776.0,3928.0,2020-12-16 09:54:29+00:00,5.30.2,155.0,\"This is the development home of the workflow management system Snakemake. For general information, see.\",994.0,706.0,193.0,29,https://pypi.org/project/snakemake,2020-11-23 11:00:53+00:00,288.0,10586.0,10586.0,https://anaconda.org/bioconda/snakemake,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n153,NIPYPE,nipy/nipype,nipype,,,medical-data,,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49+00:00,2020-12-17 18:35:41+00:00,2020-12-08 17:16:40+00:00,439.0,312.0,871.0,535.0,14049.0,2020-09-17 18:44:32+00:00,1.5.1,54.0,Workflows and interfaces for neuroimaging packages.,656.0,464.0,212.0,29,https://pypi.org/project/nipype,2020-08-16 18:30:16+00:00,192.0,13946.0,13946.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n154,NiBabel,nipy/nibabel,nibabel,,,medical-data,,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30+00:00,2020-12-16 01:39:58+00:00,2020-12-16 00:08:18+00:00,209.0,109.0,277.0,377.0,4933.0,2020-11-28 22:19:50+00:00,3.2.1,32.0,Python package to access a cacophony of neuro-imaging file formats.,4603.0,3339.0,89.0,29,https://pypi.org/project/nibabel,2020-11-28 22:18:23+00:00,1264.0,54019.0,54019.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n155,pandas-gbq,pydata/pandas-gbq,pandas-gbq,conda-forge/pandas-gbq,,db-clients,['pandas'],https://github.com/pydata/pandas-gbq,https://github.com/pydata/pandas-gbq,BSD-3-Clause,2017-02-08 13:07:19+00:00,2020-12-17 21:26:01+00:00,2020-12-17 21:26:00+00:00,83.0,32.0,154.0,229.0,217.0,2020-11-10 17:16:31+00:00,0.14.1,26.0,Pandas Google BigQuery.,2084.0,1652.0,29.0,29,https://pypi.org/project/pandas-gbq,2020-11-10 17:13:26+00:00,432.0,4407922.0,4407927.0,https://anaconda.org/conda-forge/pandas-gbq,,,True,3,188.0,,,,,,,,,,,,,,,,,,,,,,,\n156,soupsieve,facelessuser/soupsieve,soupsieve,,,web-scraping,,https://github.com/facelessuser/soupsieve,https://github.com/facelessuser/soupsieve,MIT,2018-12-07 07:42:56+00:00,2020-12-14 18:10:01+00:00,2020-12-14 18:08:31+00:00,17.0,12.0,77.0,83.0,268.0,2020-12-10 23:42:29+00:00,2.1.0,36.0,A modern CSS selector implementation for BeautifulSoup.,93620.0,89376.0,8.0,29,https://pypi.org/project/soupsieve,2020-12-10 23:43:13+00:00,4244.0,7914554.0,7914554.0,,,,False,1,,,,,,,,,,,,,,,,,,,,,,,,\n157,spleeter,deezer/spleeter,spleeter,,,audio,['tensorflow'],https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46+00:00,2020-12-11 12:05:57+00:00,2020-12-07 12:44:51+00:00,1515.0,85.0,390.0,15040.0,358.0,2020-10-23 12:15:02+00:00,2.0.1,26.0,Deezer source separation library including pretrained models.,118.0,118.0,17.0,28,https://pypi.org/project/spleeter,2020-10-23 12:15:02+00:00,,4851.0,66497.0,,,,True,2,863050.0,,,,,,,,,,,,,,,,,,,,,,,\n158,pyspider,binux/pyspider,pyspider,,,web-scraping,,https://github.com/binux/pyspider,https://github.com/binux/pyspider,Apache-2.0,2014-02-21 19:18:47+00:00,2020-10-22 04:00:13+00:00,2020-08-02 17:34:20+00:00,3558.0,276.0,543.0,14773.0,1181.0,2018-04-18 04:25:22+00:00,0.3.10,17.0,A Powerful Spider(Web Crawler) System in Python.,313.0,283.0,62.0,28,https://pypi.org/project/pyspider,2018-04-18 04:17:18+00:00,30.0,1722.0,1722.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n159,PyTorch Geometric,rusty1s/pytorch_geometric,torch-geometric,,,graph,['pytorch'],https://github.com/rusty1s/pytorch_geometric,https://github.com/rusty1s/pytorch_geometric,MIT,2017-10-06 16:03:03+00:00,2020-12-17 14:17:17+00:00,2020-12-16 14:12:01+00:00,1645.0,631.0,1042.0,9714.0,4014.0,2020-12-02 14:57:09+00:00,1.6.3,25.0,Geometric Deep Learning Extension Library for PyTorch.,24.0,,135.0,28,https://pypi.org/project/torch-geometric,2020-11-27 07:18:41+00:00,24.0,11194.0,11194.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n160,Sonnet,deepmind/sonnet,dm-sonnet,,,ml-frameworks,['tensorflow'],https://github.com/deepmind/sonnet,https://github.com/deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35+00:00,2020-11-30 02:35:15+00:00,2020-10-08 10:01:11+00:00,1242.0,15.0,135.0,8661.0,545.0,2020-03-27 10:36:19+00:00,2.0.0,27.0,TensorFlow-based neural network library.,536.0,454.0,48.0,28,https://pypi.org/project/dm-sonnet,2020-03-27 10:36:10+00:00,82.0,23598.0,23598.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n161,DVC,iterative/dvc,,conda-forge/dvc,,ml-experiments,,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33+00:00,2020-12-18 09:55:28+00:00,2020-12-18 09:55:26+00:00,650.0,482.0,2097.0,6909.0,6141.0,2020-12-16 13:08:03+00:00,1.11.8,100.0,Data Version Control | Git for Data & Models.,496.0,496.0,197.0,28,,,,,1537.0,https://anaconda.org/conda-forge/dvc,,,True,2,15377.0,,dvc,,,,,,,,,,,,,dvc,dvc,,,,,,,\n162,Pyro,pyro-ppl/pyro,pyro-ppl,,,probabilistics,['pytorch'],https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47+00:00,2020-12-17 18:04:22+00:00,2020-12-17 17:50:17+00:00,777.0,130.0,677.0,6645.0,2138.0,2020-11-17 23:30:42+00:00,1.5.1,24.0,Deep universal probabilistic programming with Python and PyTorch.,380.0,344.0,102.0,28,https://pypi.org/project/pyro-ppl,2020-11-17 23:22:46+00:00,36.0,12118.0,12118.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n163,tensorpack,tensorpack/tensorpack,tensorpack,,,ml-frameworks,['tensorflow'],https://github.com/tensorpack/tensorpack,https://github.com/tensorpack/tensorpack,Apache-2.0,2015-12-25 23:08:44+00:00,2020-11-13 17:32:23+00:00,2020-11-01 03:52:10+00:00,1719.0,11.0,1293.0,5854.0,2921.0,2020-04-24 19:01:06+00:00,0.10.1,36.0,\"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.\",713.0,637.0,55.0,28,https://pypi.org/project/tensorpack,2020-04-24 19:01:06+00:00,76.0,8372.0,8374.0,,,,True,3,94.0,,,,,,,,,,,,,,,,,,,,,,,\n164,Modin,modin-project/modin,modin,,,data-containers,['pandas'],https://github.com/modin-project/modin,https://github.com/modin-project/modin,Apache-2.0,2018-06-21 21:35:05+00:00,2020-12-18 09:48:42+00:00,2020-12-18 09:19:52+00:00,374.0,391.0,1041.0,5531.0,1212.0,2020-11-10 17:45:21+00:00,0.8.2,35.0,Modin: Speed up your Pandas workflows by changing a single line of code.,277.0,268.0,63.0,28,https://pypi.org/project/modin,2020-11-10 02:44:02+00:00,9.0,43508.0,50234.0,,,,True,2,195072.0,,,,,,,,,,,,,,,,,,,,,,,\n165,featuretools,alteryx/featuretools,featuretools,conda-forge/featuretools,,hyperopt,,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17+00:00,2020-12-17 14:06:52+00:00,2020-12-16 00:38:25+00:00,680.0,103.0,385.0,5274.0,569.0,2020-11-30 20:45:21+00:00,0.22.0,61.0,An open source python library for automated feature engineering.,682.0,612.0,49.0,28,https://pypi.org/project/featuretools,2020-11-30 20:46:32+00:00,70.0,68765.0,68765.0,https://anaconda.org/conda-forge/featuretools,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n166,faust,robinhood/faust,faust,,,data-pipelines,,https://github.com/robinhood/faust,https://github.com/robinhood/faust,BSD-3-Clause,2017-03-08 18:36:11+00:00,2020-11-17 10:35:41+00:00,2020-10-09 12:59:42+00:00,424.0,225.0,218.0,5124.0,4137.0,2020-02-25 22:57:18+00:00,1.10.4,46.0,Python Stream Processing.,578.0,550.0,90.0,28,https://pypi.org/project/faust,2020-02-25 22:57:18+00:00,28.0,88232.0,88232.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n167,Autograd,HIPS/autograd,autograd,,,others,,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23+00:00,2020-04-23 16:45:00+00:00,2019-11-18 14:32:40+00:00,712.0,161.0,216.0,5054.0,1375.0,2017-08-24 17:00:41+00:00,1.1.13,24.0,Efficiently computes derivatives of numpy code.,1658.0,1314.0,51.0,28,https://pypi.org/project/autograd,2019-07-25 16:21:07+00:00,344.0,350296.0,350296.0,,,,False,1,,,,,,,,,,,,,,,,,,,,,,,,\n168,csvkit,wireservice/csvkit,csvkit,,,data-loading,,https://github.com/wireservice/csvkit,https://github.com/wireservice/csvkit,MIT,2011-04-01 03:00:30+00:00,2020-10-30 01:59:33+00:00,2020-10-30 01:59:29+00:00,535.0,56.0,743.0,4427.0,1693.0,2020-03-03 03:00:28+00:00,1.0.5,33.0,\"A suite of utilities for converting to and working with CSV, the king of tabular file formats.\",1488.0,786.0,91.0,28,https://pypi.org/project/csvkit,2020-03-03 03:00:28+00:00,702.0,27886.0,27886.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n169,GluonCV,dmlc/gluon-cv,gluoncv,,,image,['mxnet'],https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21+00:00,2020-12-18 06:25:21+00:00,2020-12-15 04:45:36+00:00,1016.0,367.0,371.0,4399.0,817.0,2020-12-02 23:04:17+00:00,0.9.0,935.0,Gluon CV Toolkit.,403.0,373.0,106.0,28,https://pypi.org/project/gluoncv,2020-12-16 09:02:53+00:00,30.0,88417.0,88417.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n170,snorkel,snorkel-team/snorkel,snorkel,,,data-loading,,https://github.com/snorkel-team/snorkel,https://github.com/snorkel-team/snorkel,Apache-2.0,2016-02-26 05:52:45+00:00,2020-10-02 14:30:46+00:00,2020-09-05 21:24:32+00:00,703.0,29.0,909.0,4348.0,2646.0,2020-08-09 03:07:36+00:00,0.9.6,17.0,A system for quickly generating training data with weak supervision.,65.0,61.0,62.0,28,https://pypi.org/project/snorkel,2020-04-07 01:35:21+00:00,4.0,69605.0,69615.0,,,,True,3,479.0,,,,,,,,,,,,,,,,,,,,,,,\n171,librosa,librosa/librosa,librosa,,,audio,,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01+00:00,2020-10-19 21:24:48+00:00,2020-09-11 13:58:44+00:00,663.0,53.0,778.0,4131.0,,2020-07-22 01:34:55+00:00,0.8.0,28.0,Python library for audio and music analysis.,10198.0,8448.0,80.0,28,https://pypi.org/project/librosa,2020-07-22 01:34:55+00:00,1750.0,268711.0,268711.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n172,Tokenizers,huggingface/tokenizers,tokenizers,,,nlp,,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20+00:00,2020-12-15 16:50:46+00:00,2020-12-15 16:50:40+00:00,295.0,80.0,257.0,4087.0,1414.0,2020-11-10 04:37:50+00:00,0.9.4,57.0,Fast State-of-the-Art Tokenizers optimized for Research and Production.,20.0,20.0,39.0,28,https://pypi.org/project/tokenizers,2020-12-08 18:59:15+00:00,0.0,1037922.0,1037922.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n173,DEAP,deap/deap,deap,,,distributed-ml,,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39+00:00,2020-12-13 12:08:59+00:00,2020-12-13 12:08:59+00:00,823.0,166.0,218.0,3997.0,2145.0,2020-01-21 01:18:06+00:00,1.3.1,16.0,Distributed Evolutionary Algorithms in Python.,1955.0,1473.0,66.0,28,https://pypi.org/project/deap,2020-01-21 01:18:06+00:00,482.0,87008.0,87008.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,,\n174,dataset,pudo/dataset,dataset,,,db-clients,,https://github.com/pudo/dataset,https://github.com/pudo/dataset,MIT,2013-04-01 14:57:55+00:00,2020-12-16 15:25:48+00:00,2020-11-14 22:02:17+00:00,256.0,11.0,232.0,3947.0,655.0,2020-11-14 22:04:37+00:00,1.4.1,46.0,\"Easy-to-use data handling for SQL data stores with support for implicit table creation, bulk loading, and transactions.\",2742.0,1714.0,71.0,28,https://pypi.org/project/dataset,2020-11-14 22:04:37+00:00,1028.0,46905.0,46905.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n175,Kornia,kornia/kornia,kornia,,,image,['pytorch'],https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37+00:00,2020-12-17 15:45:52+00:00,2020-12-16 17:10:09+00:00,345.0,103.0,230.0,3420.0,1462.0,2020-10-20 19:31:49+00:00,0.4.1,12.0,Open Source Differentiable Computer Vision Library for PyTorch.,208.0,208.0,77.0,28,https://pypi.org/project/kornia,2020-10-20 19:31:49+00:00,0.0,18135.0,18135.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n176,Kedro,quantumblacklabs/kedro,kedro,,,data-pipelines,,https://github.com/quantumblacklabs/kedro,https://github.com/quantumblacklabs/kedro,Apache-2.0,2019-04-18 10:29:56+00:00,2020-12-18 10:58:57+00:00,2020-12-17 16:05:09+00:00,375.0,71.0,328.0,3227.0,1096.0,2020-12-17 13:31:56+00:00,0.17.0,24.0,\"A Python library that helps you create reproducible, maintainable and modular data science code.\",349.0,333.0,89.0,28,https://pypi.org/project/kedro,2020-12-17 13:31:56+00:00,16.0,72730.0,72730.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n177,dyNET,clab/dynet,dyNET,,,ml-frameworks,,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21+00:00,2020-10-22 07:16:17+00:00,2020-10-22 07:16:12+00:00,692.0,255.0,658.0,3156.0,3260.0,2020-10-21 14:31:01+00:00,2.1.2,24.0,DyNet: The Dynamic Neural Network Toolkit.,201.0,163.0,155.0,28,https://pypi.org/project/dyNET,2020-10-21 14:31:01+00:00,38.0,6117.0,6138.0,,,,True,3,1093.0,,,,,,,,,,,,,,,,,,,,,,,\n178,Blaze,blaze/blaze,blaze,,,data-containers,,https://github.com/blaze/blaze,https://github.com/blaze/blaze,BSD-3-Clause,2012-10-26 14:25:22+00:00,2020-02-01 19:33:09+00:00,2019-08-15 21:14:59+00:00,373.0,262.0,500.0,2915.0,7496.0,2016-07-19 20:40:03+00:00,0.11.0,14.0,NumPy and Pandas interface to Big Data.,7807.0,7319.0,64.0,28,https://pypi.org/project/blaze,2016-05-06 21:19:21+00:00,488.0,10271.0,10271.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,,\n179,Dedupe,dedupeio/dedupe,dedupe,,,nlp,,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36+00:00,2020-11-09 02:38:14+00:00,2020-11-09 02:38:13+00:00,402.0,49.0,568.0,2841.0,2792.0,2020-09-02 00:17:19+00:00,2.0.6,157.0,\"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.\",248.0,170.0,55.0,28,https://pypi.org/project/dedupe,2020-09-06 01:50:45+00:00,78.0,51058.0,51058.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n180,PyCaret,pycaret/pycaret,pycaret,,,ml-experiments,,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48+00:00,2020-12-16 19:00:49+00:00,2020-12-14 11:24:41+00:00,553.0,134.0,506.0,2671.0,1510.0,2020-11-26 01:45:00+00:00,2.2.2,67.0,\"An open-source, low-code machine learning library in Python.\",511.0,511.0,38.0,28,https://pypi.org/project/pycaret,2020-11-26 01:45:00+00:00,,26166.0,26233.0,,,,True,2,337.0,,,,,,,,,,,,,,,,,,,,,,,\n181,phonenumbers,daviddrysdale/python-phonenumbers,phonenumbers,,,nlp,,https://github.com/daviddrysdale/python-phonenumbers,https://github.com/daviddrysdale/python-phonenumbers,Apache-2.0,2011-04-21 03:06:38+00:00,2020-12-16 08:06:19+00:00,2020-12-16 07:13:35+00:00,324.0,3.0,110.0,2591.0,,2020-12-04 08:41:00+00:00,8.12.15,166.0,Python port of Google's libphonenumber.,2280.0,,22.0,28,https://pypi.org/project/phonenumbers,2020-12-16 08:06:19+00:00,2280.0,845811.0,845811.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n182,VisPy,vispy/vispy,vispy,,,data-viz,['jupyter'],https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22+00:00,2020-12-04 15:15:35+00:00,2020-11-28 02:03:40+00:00,535.0,354.0,778.0,2528.0,6394.0,2020-12-14 15:55:00+00:00,0.6.6,16.0,High-performance interactive 2D/3D data visualization library.,555.0,433.0,144.0,28,https://pypi.org/project/vispy,2020-11-28 02:55:50+00:00,122.0,15004.0,15070.0,,,,True,2,,,,,,,,,vispy,https://www.npmjs.com/package/vispy,2020-03-15 14:39:41.516000+00:00,,66.0,,,,,,,,,,,\n183,datashader,holoviz/datashader,datashader,conda-forge/datashader,,data-viz,,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20+00:00,2020-12-14 16:28:09+00:00,2020-12-11 22:01:59+00:00,306.0,144.0,314.0,2374.0,1268.0,2020-08-16 19:52:29+00:00,0.11.1,22.0,Quickly and accurately render even the largest data.,606.0,536.0,43.0,28,https://pypi.org/project/datashader,2020-12-04 13:28:34+00:00,70.0,16805.0,16805.0,https://anaconda.org/conda-forge/datashader,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n184,Catalyst,catalyst-team/catalyst,catalyst,,,ml-experiments,['pytorch'],https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13+00:00,2020-12-16 07:04:02+00:00,2020-12-14 18:29:35+00:00,261.0,28.0,253.0,2324.0,1461.0,2020-09-25 18:48:00+00:00,20.9.1,83.0,Accelerated deep learning R&D.,267.0,248.0,79.0,28,https://pypi.org/project/catalyst,2020-10-14 06:33:14+00:00,19.0,8782.0,8782.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n185,sklearn-pandas,scikit-learn-contrib/sklearn-pandas,sklearn-pandas,,,data-containers,\"['sklearn', 'pandas']\",https://github.com/scikit-learn-contrib/sklearn-pandas,https://github.com/scikit-learn-contrib/sklearn-pandas,Zlib,2013-04-22 22:55:20+00:00,2020-12-03 06:11:35+00:00,2020-12-03 06:11:34+00:00,377.0,40.0,114.0,2282.0,267.0,2020-10-01 20:56:27+00:00,2.0.3,24.0,Pandas integration with sklearn.,1766.0,1544.0,35.0,28,https://pypi.org/project/sklearn-pandas,2020-11-07 02:30:27+00:00,222.0,112447.0,112447.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,,\n186,dbt,fishtown-analytics/dbt,dbt,,,data-pipelines,,https://github.com/fishtown-analytics/dbt,https://github.com/fishtown-analytics/dbt,Apache-2.0,2016-03-10 02:38:00+00:00,2020-12-18 02:15:57+00:00,2020-12-17 23:01:14+00:00,458.0,250.0,1406.0,2265.0,2481.0,2020-10-13 21:51:53+00:00,0.18.1,139.0,dbt (data build tool) enables data analysts and engineers to transform their data using the same practices that..,161.0,152.0,127.0,28,https://pypi.org/project/dbt,2020-10-21 00:46:58+00:00,9.0,88791.0,88791.0,,,,True,2,,,dbt,,,,,,,,,,,,,,,,,,,,,\n187,eli5,TeamHG-Memex/eli5,eli5,,,interpretability,,https://github.com/TeamHG-Memex/eli5,https://github.com/TeamHG-Memex/eli5,MIT,2016-09-15 01:04:57+00:00,2020-12-09 18:22:22+00:00,2020-01-22 07:39:36+00:00,282.0,125.0,108.0,2228.0,1198.0,2019-08-29 06:19:32+00:00,0.10.1,27.0,A library for debugging/inspecting machine learning classifiers and explaining their predictions.,895.0,799.0,14.0,28,https://pypi.org/project/eli5,2019-08-29 06:19:32+00:00,96.0,247741.0,247741.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n188,implicit,benfred/implicit,implicit,,,recommender-systems,,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23+00:00,2020-11-15 19:47:27+00:00,2020-11-15 19:47:23+00:00,452.0,74.0,255.0,2190.0,300.0,2020-09-15 22:01:38+00:00,0.4.4,34.0,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,349.0,327.0,28.0,28,https://pypi.org/project/implicit,2020-09-15 22:01:38+00:00,22.0,99585.0,99585.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n189,AzureML SDK,Azure/MachineLearningNotebooks,azureml-sdk,,,ml-experiments,,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14+00:00,2020-12-12 00:49:34+00:00,2020-12-12 00:49:33+00:00,1464.0,50.0,841.0,2031.0,1081.0,2020-12-07 18:38:50+00:00,1.19.0,65.0,Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft.,60.0,,52.0,28,https://pypi.org/project/azureml-sdk,2020-12-07 18:38:50+00:00,60.0,301085.0,301099.0,,,,True,2,376.0,,,,,,,,,,,,,,,,,,,,,,,\n190,ImageHash,JohannesBuchner/imagehash,ImageHash,,,image,,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48+00:00,2020-11-27 16:31:23+00:00,2020-11-27 16:31:13+00:00,240.0,17.0,69.0,1766.0,182.0,2020-11-19 14:54:24+00:00,4.2.0,17.0,A Python Perceptual Image Hashing Module.,2261.0,1729.0,17.0,28,https://pypi.org/project/ImageHash,2020-11-19 14:54:24+00:00,532.0,388844.0,388844.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n191,libcloud,apache/libcloud,apache-libcloud,,,db-clients,,https://github.com/apache/libcloud,https://github.com/apache/libcloud,Apache-2.0,2009-12-11 09:00:14+00:00,2020-12-14 19:02:53+00:00,2020-12-14 19:02:41+00:00,880.0,30.0,63.0,1723.0,,2020-09-20 13:03:47+00:00,3.2.0,61.0,Apache Libcloud is a Python library which hides differences between different cloud provider APIs and allows you to..,3104.0,1562.0,418.0,28,https://pypi.org/project/apache-libcloud,2020-09-20 13:03:47+00:00,1542.0,61524.0,61524.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n192,pyLDAvis,bmabey/pyLDAvis,pyldavis,,,interpretability,['jupyter'],https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03+00:00,2020-12-03 09:31:49+00:00,2020-12-02 18:10:12+00:00,287.0,91.0,55.0,1367.0,218.0,2018-06-05 18:55:56+00:00,2.1.2,17.0,Python library for interactive topic model visualization. Port of the R LDAvis package.,1689.0,1590.0,31.0,28,https://pypi.org/project/pyldavis,2018-06-05 18:55:56+00:00,99.0,70043.0,70043.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n193,torchaudio,pytorch/audio,torchaudio,,,audio,['pytorch'],https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05+00:00,2020-12-18 10:09:56+00:00,2020-12-17 19:07:49+00:00,259.0,152.0,220.0,1161.0,617.0,2020-12-10 17:02:20+00:00,0.7.2,11.0,\"Data manipulation and transformation for audio signal processing, powered by PyTorch.\",908.0,899.0,82.0,28,https://pypi.org/project/torchaudio,2020-10-27 16:14:57+00:00,9.0,58603.0,58603.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n194,Bottleneck,pydata/bottleneck,Bottleneck,,,data-containers,,https://github.com/pydata/bottleneck,https://github.com/pydata/bottleneck,BSD-2-Clause,2010-11-27 23:21:22+00:00,2020-11-25 00:09:27+00:00,2020-11-25 00:09:25+00:00,60.0,22.0,177.0,565.0,1226.0,2020-02-21 06:22:16+00:00,1.3.2,21.0,Fast NumPy array functions written in C.,20247.0,17355.0,20.0,28,https://pypi.org/project/Bottleneck,2020-02-21 06:22:16+00:00,2892.0,198077.0,198077.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n195,pyproj,pyproj4/pyproj,pyproj,,,geospatial-data,,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25+00:00,2020-12-10 18:05:45+00:00,2020-12-10 18:04:07+00:00,144.0,7.0,370.0,555.0,1092.0,2020-11-05 13:39:29+00:00,3.0.0.post1,34.0,Python interface to PROJ (cartographic projections and coordinate transformations library).,10310.0,7848.0,39.0,28,https://pypi.org/project/pyproj,2020-11-05 14:28:45+00:00,2462.0,1230753.0,1230753.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n196,inflect,jaraco/inflect,inflect,,,nlp,,https://github.com/jaraco/inflect,https://github.com/jaraco/inflect,MIT,2010-06-20 13:43:13+00:00,2020-12-18 02:56:48+00:00,2020-11-15 19:27:28+00:00,57.0,13.0,58.0,459.0,590.0,2020-11-15 17:41:03+00:00,5.0.2,30.0,\"Correctly generate plurals, ordinals, indefinite articles; convert numbers to words.\",1388.0,,25.0,28,https://pypi.org/project/inflect,2020-11-15 17:40:58+00:00,1388.0,991449.0,991449.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n197,minio,minio/minio-py,minio,,,db-clients,,https://github.com/minio/minio-py,https://github.com/minio/minio-py,Apache-2.0,2015-06-17 03:51:15+00:00,2020-12-10 17:13:57+00:00,2020-12-10 17:13:56+00:00,169.0,9.0,363.0,381.0,1005.0,2020-12-08 20:45:54+00:00,7.0.0,84.0,MinIO Client SDK for Python.,1510.0,1166.0,88.0,28,https://pypi.org/project/minio,2020-12-08 20:28:35+00:00,344.0,180631.0,180631.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n198,Cython BLIS,explosion/cython-blis,blis,conda-forge/cython-blis,,others,,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16+00:00,2020-12-07 08:56:44+00:00,2020-12-07 07:21:11+00:00,22.0,6.0,15.0,156.0,524.0,2020-12-07 08:56:44+00:00,0.7.4,35.0,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,7674.0,7284.0,9.0,28,https://pypi.org/project/blis,2020-12-07 08:56:44+00:00,390.0,874973.0,874973.0,https://anaconda.org/conda-forge/cython-blis,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n199,CNTK,microsoft/CNTK,cntk,,,ml-frameworks,,https://github.com/microsoft/CNTK,https://github.com/microsoft/CNTK,MIT,2015-11-26 09:52:06+00:00,2020-12-09 22:21:57+00:00,2020-03-31 15:55:14+00:00,4421.0,805.0,2513.0,16933.0,16116.0,2019-04-26 14:13:32+00:00,2.7,32.0,\"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.\",17.0,,265.0,27,https://pypi.org/project/cntk,2020-12-09 22:21:57+00:00,17.0,1730.0,1960.0,,,,True,3,13578.0,,,,,,,,,,,,,,,,,,,,,,,\n200,InsightFace,deepinsight/insightface,insightface,,,image,['mxnet'],https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,MIT,2017-09-01 00:36:51+00:00,2020-12-17 09:53:49+00:00,2020-12-08 12:54:34+00:00,2835.0,684.0,637.0,8228.0,1454.0,2019-09-07 13:47:11+00:00,0.1.5,6.0,Face Analysis Project on MXNet.,46.0,45.0,14.0,27,https://pypi.org/project/insightface,2019-09-07 13:47:11+00:00,1.0,10577.0,10577.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n201,TPOT,EpistasisLab/tpot,tpot,,,hyperopt,['sklearn'],https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40+00:00,2020-12-16 03:02:29+00:00,2020-12-14 15:04:13+00:00,1347.0,185.0,573.0,7699.0,2341.0,2020-12-14 15:07:26+00:00,0.11.6.post3,59.0,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,821.0,741.0,107.0,27,https://pypi.org/project/tpot,2020-12-14 15:07:56+00:00,80.0,35968.0,35968.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,,\n202,AutoKeras,keras-team/autokeras,autokeras,,,hyperopt,['keras'],https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20+00:00,2020-12-16 11:20:07+00:00,2020-12-11 07:59:44+00:00,1241.0,59.0,645.0,7651.0,1228.0,2020-11-30 02:43:50+00:00,1.0.12,46.0,AutoML library for deep learning.,145.0,138.0,125.0,27,https://pypi.org/project/autokeras,2020-11-30 02:43:50+00:00,7.0,5887.0,5887.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n203,Google Images Download,hardikvasa/google-images-download,google_images_download,,,web-scraping,,https://github.com/hardikvasa/google-images-download,https://github.com/hardikvasa/google-images-download,MIT,2015-03-28 16:50:28+00:00,2020-12-06 13:01:13+00:00,2019-05-21 18:24:10+00:00,1699.0,103.0,159.0,7306.0,156.0,2019-05-14 00:35:40+00:00,2.7.1,39.0,Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!.,214.0,,38.0,27,https://pypi.org/project/google_images_download,2019-05-14 00:35:40+00:00,214.0,20843.0,20843.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n204,Records,kennethreitz42/records,records,conda-forge/records,,db-clients,,https://github.com/kennethreitz42/records,https://github.com/kennethreitz42/records,ISC,2014-12-24 15:20:23+00:00,2020-08-12 05:05:50+00:00,2019-08-20 04:06:01+00:00,531.0,55.0,81.0,6451.0,324.0,2019-02-21 13:34:41+00:00,0.5.3,10.0,SQL for Humans.,1001.0,701.0,37.0,27,https://pypi.org/project/records,2019-02-21 13:34:41+00:00,300.0,180782.0,180782.0,https://anaconda.org/conda-forge/records,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n205,dgl,dmlc/dgl,dgl,,,graph,,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09+00:00,2020-12-18 10:11:34+00:00,2020-12-18 08:32:07+00:00,1238.0,204.0,650.0,6268.0,1436.0,2020-11-30 07:39:12+00:00,0.5.3,323.0,\"Python package built to ease deep learning on graph, on top of existing DL frameworks.\",15.0,,91.0,27,https://pypi.org/project/dgl,2020-12-16 09:10:34+00:00,15.0,13782.0,13782.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n206,Bayesian Optimization,fmfn/BayesianOptimization,bayesian-optimization,,,hyperopt,,https://github.com/fmfn/BayesianOptimization,https://github.com/fmfn/BayesianOptimization,MIT,2014-06-06 08:18:56+00:00,2020-10-25 15:15:11+00:00,2020-07-13 17:18:09+00:00,1022.0,42.0,152.0,4716.0,197.0,2020-05-16 16:03:51+00:00,1.2.0,8.0,A Python implementation of global optimization with gaussian processes.,637.0,545.0,26.0,27,https://pypi.org/project/bayesian-optimization,2020-05-16 15:56:09+00:00,92.0,68421.0,68422.0,,,,True,2,43.0,,,,,,,,,,,,,,,,,,,,,,,\n207,OpenNMT,OpenNMT/OpenNMT-py,OpenNMT-py,,,nlp,['pytorch'],https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50+00:00,2020-12-16 10:12:20+00:00,2020-12-09 16:36:52+00:00,1742.0,94.0,1108.0,4690.0,2525.0,2020-11-10 18:09:08+00:00,2.0.0rc2,26.0,Open Source Neural Machine Translation in PyTorch.,67.0,63.0,164.0,27,https://pypi.org/project/OpenNMT-py,2020-11-10 18:10:02+00:00,4.0,3663.0,3663.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n208,PyOD,yzhao062/pyod,pyod,,,others,,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04+00:00,2020-12-10 16:55:54+00:00,2020-11-17 16:47:31+00:00,796.0,85.0,78.0,3898.0,1227.0,2020-11-17 17:07:55+00:00,V0.8.4,62.0,A Python Toolbox for Scalable Outlier Detection (Anomaly Detection).,423.0,417.0,20.0,27,https://pypi.org/project/pyod,2020-11-17 17:05:43+00:00,6.0,89546.0,89546.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n209,skorch,skorch-dev/skorch,skorch,conda-forge/skorch,,ml-frameworks,\"['pytorch', 'sklearn']\",https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54+00:00,2020-12-17 18:37:16+00:00,2020-12-14 14:09:04+00:00,271.0,48.0,311.0,3670.0,923.0,2020-08-30 10:46:40+00:00,0.9.0,12.0,A scikit-learn compatible neural network library that wraps PyTorch.,254.0,241.0,38.0,27,https://pypi.org/project/skorch,2020-08-30 10:43:37+00:00,13.0,8866.0,8866.0,https://anaconda.org/conda-forge/skorch,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n210,OCRmyPDF,jbarlow83/OCRmyPDF,ocrmypdf,,,ocr,,https://github.com/jbarlow83/OCRmyPDF,https://github.com/jbarlow83/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28+00:00,2020-12-18 00:24:27+00:00,2020-12-13 00:27:38+00:00,406.0,90.0,536.0,3549.0,2784.0,2020-12-12 07:38:12+00:00,11.4.0,152.0,\"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.\",108.0,96.0,47.0,27,https://pypi.org/project/ocrmypdf,2020-12-12 07:38:12+00:00,12.0,12311.0,12311.0,,,,True,2,,,ocrmypdf,,,,,,,,,,,,,ocrmypdf,,,,,,,,\n211,imutils,jrosebr1/imutils,imutils,,,image,,https://github.com/jrosebr1/imutils,https://github.com/jrosebr1/imutils,MIT,2015-01-11 20:05:39+00:00,2020-11-10 01:52:08+00:00,2019-08-18 11:50:57+00:00,851.0,123.0,75.0,3439.0,137.0,2019-08-18 11:56:06+00:00,0.5.3,28.0,\"A series of convenience functions to make basic image processing operations such as translation, rotation, resizing,..\",12082.0,10886.0,19.0,27,https://pypi.org/project/imutils,2019-08-18 11:56:06+00:00,1196.0,148990.0,148990.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,,\n212,lightfm,lyst/lightfm,lightfm,,,recommender-systems,,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00+00:00,2020-12-05 21:55:42+00:00,2020-11-27 19:54:37+00:00,561.0,127.0,272.0,3417.0,404.0,2020-11-27 19:48:30+00:00,1.16,14.0,\"A Python implementation of LightFM, a hybrid recommendation algorithm.\",390.0,362.0,42.0,27,https://pypi.org/project/lightfm,2020-11-27 19:55:08+00:00,28.0,97519.0,97519.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n213,InterpretML,interpretml/interpret,interpret,,,interpretability,['jupyter'],https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52+00:00,2020-12-18 01:06:22+00:00,2020-12-18 01:05:58+00:00,409.0,50.0,107.0,3330.0,1403.0,2020-10-20 01:41:37+00:00,0.2.2,32.0,Fit interpretable models. Explain blackbox machine learning.,60.0,58.0,21.0,27,https://pypi.org/project/interpret,2020-10-20 01:35:45+00:00,2.0,12048.0,12048.0,,,,True,2,,,,,,,,,,,,,,4.0,,,,,,,,,,\n214,Ignite,pytorch/ignite,pytorch-ignite,pytorch/ignite,,ml-frameworks,['pytorch'],https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21+00:00,2020-12-18 07:43:05+00:00,2020-12-17 22:14:30+00:00,403.0,98.0,578.0,3189.0,815.0,2020-09-20 20:00:28+00:00,0.4.2,405.0,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,726.0,664.0,115.0,27,https://pypi.org/project/pytorch-ignite,2020-12-13 00:36:57+00:00,62.0,27639.0,27639.0,https://anaconda.org/pytorch/ignite,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n215,memory-profiler,pythonprofilers/memory_profiler,memory_profiler,,,system-monitoring,,https://github.com/pythonprofilers/memory_profiler,https://github.com/pythonprofilers/memory_profiler,BSD-3-Clause,2011-10-14 11:56:14+00:00,2020-12-03 12:57:49+00:00,2020-12-03 12:57:47+00:00,292.0,82.0,98.0,2650.0,618.0,2018-08-16 03:16:49+00:00,0.54.0,52.0,Monitor Memory usage of Python code.,534.0,,83.0,27,https://pypi.org/project/memory_profiler,2018-08-16 03:16:49+00:00,534.0,164914.0,164914.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n216,missingno,ResidentMario/missingno,missingno,,,data-viz,,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50+00:00,2020-11-23 17:34:43+00:00,2020-11-23 17:34:42+00:00,329.0,15.0,86.0,2569.0,169.0,2019-07-09 16:03:51+00:00,0.4.2,21.0,Missing data visualization module for Python.,2539.0,2463.0,14.0,27,https://pypi.org/project/missingno,2018-06-29 16:25:00+00:00,76.0,204721.0,204721.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n217,pomegranate,jmschrei/pomegranate,pomegranate,pomegranate,,probabilistics,,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58+00:00,2020-12-15 20:41:34+00:00,2020-12-12 22:53:40+00:00,459.0,37.0,525.0,2545.0,839.0,2020-10-13 16:38:32+00:00,0.13.5,59.0,\"Fast, flexible and easy to use probabilistic modelling in Python.\",378.0,350.0,60.0,27,https://pypi.org/project/pomegranate,2020-07-12 21:28:17+00:00,28.0,18663.0,18663.0,https://anaconda.org/anaconda/pomegranate,2020-10-13 16:38:32+00:00,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n218,NMSLIB,nmslib/nmslib,nmslib,,,nn-search,,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06+00:00,2020-12-03 17:55:42+00:00,2020-11-03 18:25:07+00:00,328.0,44.0,309.0,2225.0,1421.0,2020-04-16 18:21:23+00:00,2.0.6,21.0,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,348.0,296.0,40.0,27,https://pypi.org/project/nmslib,2020-04-16 18:21:23+00:00,52.0,55503.0,55503.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n219,GPyTorch,cornellius-gp/gpytorch,gpytorch,,,probabilistics,['pytorch'],https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20+00:00,2020-12-18 00:09:24+00:00,2020-12-18 00:08:52+00:00,308.0,188.0,612.0,2209.0,3202.0,2020-11-30 21:36:11+00:00,1.3.0,24.0,A highly efficient and modular implementation of Gaussian Processes in PyTorch.,188.0,180.0,62.0,27,https://pypi.org/project/gpytorch,2020-11-30 21:38:19+00:00,8.0,31696.0,31696.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n220,GluonNLP,dmlc/gluon-nlp,gluonnlp,,,nlp,['mxnet'],https://github.com/dmlc/gluon-nlp,https://github.com/dmlc/gluon-nlp,Apache-2.0,2018-04-04 20:57:13+00:00,2020-12-18 07:42:36+00:00,2020-10-08 21:11:34+00:00,490.0,227.0,281.0,2193.0,782.0,2020-08-13 19:16:27+00:00,0.10.0,25.0,\"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..\",358.0,347.0,72.0,27,https://pypi.org/project/gluonnlp,2020-08-13 01:28:51+00:00,11.0,37525.0,37525.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n221,TRAINS,allegroai/trains,trains,,,ml-experiments,,https://github.com/allegroai/trains,https://github.com/allegroai/trains,Apache-2.0,2019-06-10 08:18:32+00:00,2020-12-18 10:41:18+00:00,2020-12-10 11:01:54+00:00,233.0,81.0,147.0,2024.0,910.0,2020-12-10 11:03:43+00:00,0.16.4,121.0,TRAINS - Auto-Magical Experiment Manager & Version Control for AI - NOW WITH AUTO-MAGICAL DEVOPS!.,51.0,51.0,23.0,27,https://pypi.org/project/trains,2020-12-10 10:59:49+00:00,0.0,149967.0,151631.0,,,,True,3,244.0,,,allegroai/trains,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671+00:00,,29732.0,,,,,,,,,,,,,,,,\n222,Cufflinks,santosjorge/cufflinks,cufflinks,,,data-viz,['pandas'],https://github.com/santosjorge/cufflinks,https://github.com/santosjorge/cufflinks,MIT,2014-11-19 20:59:33+00:00,2020-10-07 16:12:54+00:00,2020-10-07 16:12:53+00:00,500.0,79.0,119.0,2019.0,450.0,2020-03-01 17:42:01+00:00,0.17.3,27.0,Productivity Tools for Plotly + Pandas.,2477.0,2360.0,37.0,27,https://pypi.org/project/cufflinks,2020-03-01 17:42:01+00:00,117.0,56439.0,56439.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n223,Databases,encode/databases,databases,,,db-clients,,https://github.com/encode/databases,https://github.com/encode/databases,BSD-3-Clause,2019-02-01 10:55:25+00:00,2020-12-10 06:34:13+00:00,2020-12-10 06:34:11+00:00,130.0,88.0,86.0,1843.0,268.0,2020-11-16 20:54:58+00:00,0.4.1,29.0,Async database support for Python.,1277.0,1217.0,28.0,27,https://pypi.org/project/databases,2020-11-16 20:54:58+00:00,60.0,47596.0,47596.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n224,ipyparallel,ipython/ipyparallel,ipyparallel,,,distributed-ml,['jupyter'],https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,BSD-3-Clause,2015-04-09 07:43:55+00:00,2020-08-30 18:57:51+00:00,2020-08-24 09:09:27+00:00,722.0,138.0,107.0,1839.0,1817.0,2020-05-05 18:42:38+00:00,6.3.0,21.0,Interactive Parallel Computing in Python.,1817.0,1327.0,94.0,27,https://pypi.org/project/ipyparallel,2020-05-05 18:42:38+00:00,490.0,50970.0,50970.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n225,TF-Agents,tensorflow/agents,tf-agents,,,reinforcement-learning,['tensorflow'],https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12+00:00,2020-12-17 23:43:52+00:00,2020-12-17 23:43:17+00:00,441.0,94.0,301.0,1724.0,1570.0,2020-11-17 03:53:32+00:00,0.7.0,16.0,TF-Agents is a library for Reinforcement Learning in TensorFlow.,325.0,319.0,84.0,27,https://pypi.org/project/tf-agents,2020-12-15 19:06:26+00:00,6.0,6570.0,6570.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n226,textacy,chartbeat-labs/textacy,textacy,,,nlp,,https://github.com/chartbeat-labs/textacy,https://github.com/chartbeat-labs/textacy,Apache-2.0,2016-02-03 16:52:45+00:00,2020-12-16 17:26:04+00:00,2020-12-06 20:43:27+00:00,211.0,29.0,194.0,1570.0,1328.0,2020-08-29 20:51:05+00:00,0.10.1,29.0,\"NLP, before and after spaCy.\",77.0,,28.0,27,https://pypi.org/project/textacy,2020-08-29 20:51:28+00:00,77.0,32781.0,32781.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n227,Ibis,ibis-project/ibis,ibis-framework,conda-forge/ibis-framework,,db-clients,,https://github.com/ibis-project/ibis,https://github.com/ibis-project/ibis,Apache-2.0,2015-04-17 20:43:46+00:00,2020-12-18 00:22:13+00:00,2020-12-14 14:21:58+00:00,243.0,514.0,937.0,1493.0,1318.0,2020-11-11 16:01:20+00:00,1.4.0,24.0,\"A pandas-like deferred expression system, with first-class SQL support.\",175.0,127.0,70.0,27,https://pypi.org/project/ibis-framework,2020-11-11 16:01:20+00:00,48.0,59007.0,59007.0,https://anaconda.org/conda-forge/ibis-framework,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n228,datasketch,ekzhu/datasketch,datasketch,,,data-containers,,https://github.com/ekzhu/datasketch,https://github.com/ekzhu/datasketch,MIT,2015-03-20 01:21:46+00:00,2020-12-18 00:38:06+00:00,2020-12-15 20:46:43+00:00,198.0,19.0,89.0,1395.0,191.0,2020-12-15 20:59:57+00:00,1.5.2,74.0,\"MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble.\",324.0,238.0,15.0,27,https://pypi.org/project/datasketch,2020-12-15 20:59:57+00:00,86.0,205883.0,205883.0,,,,True,3,16.0,,,,,,,,,,,,,1.0,,,,,,,,,,\n229,Cartopy,mapbox/rasterio,Cartopy,,,geospatial-data,,https://github.com/mapbox/rasterio,https://github.com/mapbox/rasterio,LGPL-3.0,2013-11-04 16:36:27+00:00,2020-12-15 00:21:47+00:00,2020-12-15 00:21:46+00:00,387.0,135.0,1183.0,1382.0,3239.0,2018-11-17 07:43:32+00:00,0.17.0,18.0,Rasterio reads and writes geospatial raster datasets.,2671.0,2498.0,109.0,27,https://pypi.org/project/Cartopy,2020-04-27 04:57:38+00:00,173.0,13690.0,13700.0,,,,False,2,702.0,,,,,,,,,,,,,,,,,,,,,,,\n230,GPflow,GPflow/GPflow,gpflow,,,probabilistics,['tensorflow'],https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24+00:00,2020-12-18 03:30:19+00:00,2020-12-01 11:59:33+00:00,389.0,86.0,599.0,1350.0,2203.0,2020-12-01 12:59:03+00:00,2.1.4,28.0,Gaussian processes in TensorFlow.,222.0,205.0,68.0,27,https://pypi.org/project/gpflow,2020-12-01 13:12:15+00:00,17.0,6646.0,6646.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n231,ipyleaflet,jupyter-widgets/ipyleaflet,ipyleaflet,,,geospatial-data,['jupyter'],https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10+00:00,2020-12-12 05:33:28+00:00,2020-11-30 13:43:59+00:00,264.0,126.0,243.0,1063.0,892.0,2020-07-29 08:54:44+00:00,0.13.3,66.0,A Jupyter - Leaflet.js bridge.,729.0,629.0,63.0,27,https://pypi.org/project/ipyleaflet,2020-07-24 15:15:48+00:00,98.0,17169.0,175043.0,,,,True,2,,,,,,,,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2020-07-24 14:55:26.216000+00:00,2.0,157874.0,,,,,,,,,,,\n232,PyCUDA,inducer/pycuda,pycuda,,,gpu-utilities,,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31+00:00,2020-12-17 14:49:48+00:00,2020-12-08 04:43:10+00:00,214.0,40.0,122.0,1039.0,1445.0,2019-08-12 04:15:37+00:00,2019.1.2,46.0,\"CUDA integration for Python, plus shiny features.\",983.0,691.0,68.0,27,https://pypi.org/project/pycuda,2020-10-07 21:59:52+00:00,292.0,14412.0,14412.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n233,Model Analysis,tensorflow/model-analysis,tensorflow-model-analysis,,,interpretability,\"['tensorflow', 'jupyter']\",https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49+00:00,2020-12-17 20:51:26+00:00,2020-12-17 20:51:15+00:00,203.0,22.0,32.0,1011.0,869.0,2020-12-16 20:56:20+00:00,0.26.0,33.0,Model analysis tools for TensorFlow.,10.0,,33.0,27,https://pypi.org/project/tensorflow-model-analysis,2020-12-16 20:56:20+00:00,10.0,3287495.0,3287495.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n234,PyStan,stan-dev/pystan,pystan,,,probabilistics,,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,GPL-3.0,2013-05-24 01:21:21+00:00,2020-11-21 11:22:51+00:00,2020-11-21 11:22:43+00:00,192.0,66.0,425.0,892.0,867.0,2020-10-16 20:20:46+00:00,2.19.1.1-codes,54.0,\"PyStan, the Python interface to Stan.\",2611.0,2269.0,54.0,27,https://pypi.org/project/pystan,2020-11-19 14:21:16+00:00,342.0,790944.0,790945.0,,,,False,2,84.0,,,,,,,,,,,,,,,,,,,,,,,\n235,igraph,igraph/python-igraph,python-igraph,,,graph,,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16+00:00,2020-12-11 08:07:37+00:00,2020-12-11 08:07:36+00:00,180.0,23.0,254.0,741.0,1502.0,2020-10-08 14:50:52+00:00,0.8.3,18.0,Python interface for igraph.,1767.0,1343.0,47.0,27,https://pypi.org/project/python-igraph,2020-04-28 17:45:27+00:00,424.0,54534.0,54873.0,,,,False,1,16285.0,,,,,,,,,,,,,,,,,,,,,,,\n236,geojson,jazzband/geojson,geojson,,,geospatial-data,,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48+00:00,2020-11-25 21:55:02+00:00,2020-11-25 19:10:27+00:00,78.0,18.0,50.0,581.0,445.0,2019-08-09 20:32:15+00:00,2.5.0,28.0,Python bindings and utilities for GeoJSON.,6980.0,5376.0,44.0,27,https://pypi.org/project/geojson,2019-08-09 20:32:15+00:00,1604.0,429727.0,429727.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n237,Yappi,sumerc/yappi,yappi,,,system-monitoring,,https://github.com/sumerc/yappi,https://github.com/sumerc/yappi,MIT,2009-10-07 20:46:30+00:00,2020-12-09 16:11:47+00:00,2020-12-09 16:11:46+00:00,37.0,10.0,29.0,538.0,635.0,2020-11-27 15:28:40+00:00,1.3.2,17.0,\"Yet Another Python Profiler, but this time thread&coroutine&greenlet aware.\",982.0,342.0,21.0,27,https://pypi.org/project/yappi,2020-11-27 15:28:40+00:00,640.0,123738.0,123738.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n238,DIPY,dipy/dipy,dipy,conda-forge/dipy,,medical-data,,https://github.com/dipy/dipy,https://github.com/dipy/dipy,BSD-3-Clause,2010-02-06 11:43:08+00:00,2020-12-17 18:09:13+00:00,2020-12-10 16:48:07+00:00,313.0,156.0,571.0,367.0,11365.0,2020-11-05 17:35:53+00:00,1.3.0,21.0,\"DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal..\",406.0,312.0,118.0,27,https://pypi.org/project/dipy,2020-11-05 17:35:53+00:00,94.0,7730.0,7730.0,https://anaconda.org/conda-forge/dipy,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n239,Streamlit,streamlit/streamlit,streamlit,,,others,,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52+00:00,2020-12-18 06:35:39+00:00,2020-12-18 03:39:54+00:00,1020.0,505.0,906.0,12192.0,,2020-12-02 22:07:33+00:00,0.73.0,119.0,Streamlit The fastest way to build data apps in Python.,75.0,41.0,82.0,26,https://pypi.org/project/streamlit,2020-12-17 15:46:24+00:00,34.0,122062.0,122062.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n240,EasyOCR,JaidedAI/EasyOCR,easyocr,,,ocr,,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39+00:00,2020-12-17 09:57:07+00:00,2020-12-17 09:57:05+00:00,886.0,71.0,153.0,9528.0,363.0,2020-11-17 05:17:50+00:00,1.2,13.0,\"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..\",89.0,89.0,72.0,26,https://pypi.org/project/easyocr,2020-11-21 11:04:24+00:00,,7918.0,20333.0,,,,True,2,74490.0,,,,,,,,,,,,,,,,,,,,,,,\n241,Dopamine,google/dopamine,dopamine-rl,,,reinforcement-learning,['tensorflow'],https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36+00:00,2020-11-24 20:59:46+00:00,2020-11-24 20:59:42+00:00,1225.0,72.0,68.0,9241.0,210.0,2020-10-16 22:05:03+00:00,3.1.8,34.0,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,31.0,,13.0,26,https://pypi.org/project/dopamine-rl,2020-10-16 22:05:03+00:00,31.0,55637.0,55637.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n242,NNI,microsoft/nni,nni,,,hyperopt,,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44+00:00,2020-12-18 10:27:41+00:00,2020-12-18 01:55:23+00:00,1084.0,235.0,847.0,8524.0,1841.0,2020-10-22 13:31:52+00:00,1.9,34.0,\"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..\",83.0,75.0,111.0,26,https://pypi.org/project/nni,2020-10-22 13:15:53+00:00,8.0,2340.0,2340.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n243,Ludwig,uber/ludwig,ludwig,,,ml-frameworks,['tensorflow'],https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12+00:00,2020-12-17 20:25:44+00:00,2020-12-17 20:25:40+00:00,867.0,96.0,402.0,7359.0,2035.0,2020-11-16 23:55:59+00:00,0.3.1,14.0,Ludwig is a toolbox that allows to train and evaluate deep learning models without the need to write code.,77.0,71.0,84.0,26,https://pypi.org/project/ludwig,2020-10-05 23:55:39+00:00,6.0,1229.0,1229.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n244,PySyft,OpenMined/PySyft,syft,,,privacy-ml,['pytorch'],https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,MIT,2017-07-18 20:41:16+00:00,2020-12-18 10:27:54+00:00,2020-12-16 22:26:16+00:00,1509.0,173.0,2418.0,6654.0,6515.0,2020-11-12 19:57:33+00:00,0.3.0,48.0,A library for answering questions using data you cannot see.,3.0,,329.0,26,https://pypi.org/project/syft,2020-09-14 15:03:40+00:00,3.0,2620.0,2620.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n245,TensorLayer,tensorlayer/tensorlayer,tensorlayer,,,reinforcement-learning,['tensorflow'],https://github.com/tensorlayer/tensorlayer,https://github.com/tensorlayer/tensorlayer,Apache-2.0,2016-06-07 15:55:16+00:00,2020-12-17 03:28:43+00:00,2020-10-29 07:58:40+00:00,1444.0,48.0,403.0,6427.0,3299.0,2020-06-19 00:53:37+00:00,2.2.3,82.0,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,68.0,,127.0,26,https://pypi.org/project/tensorlayer,2020-06-19 00:53:37+00:00,68.0,2799.0,2822.0,,,,True,2,1193.0,,,,,,,,,,,,,,,,,,,,,,,\n246,py-spy,benfred/py-spy,py-spy,,,system-monitoring,,https://github.com/benfred/py-spy,https://github.com/benfred/py-spy,MIT,2018-08-01 02:22:15+00:00,2020-12-13 00:31:30+00:00,2020-11-20 05:01:41+00:00,216.0,49.0,126.0,6314.0,338.0,2020-02-24 06:04:00+00:00,0.3.3,26.0,Sampling profiler for Python programs.,506.0,481.0,19.0,26,https://pypi.org/project/py-spy,2020-06-22 23:38:51+00:00,25.0,223821.0,224052.0,,,,True,2,3940.0,,,,,,,,,,,,,,,,,py-spy,,,,,,\n247,imageai,OlafenwaMoses/ImageAI,imageai,,,image,,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33+00:00,2020-12-16 11:29:30+00:00,2020-01-14 21:25:23+00:00,1556.0,194.0,384.0,5545.0,277.0,2019-09-13 22:44:02+00:00,2.1.5,9.0,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,630.0,618.0,13.0,26,https://pypi.org/project/imageai,2019-09-13 22:44:02+00:00,12.0,6060.0,22077.0,,,,True,3,512561.0,,,,,,,,,,,,,,,,,,,,,,,\n248,tsfresh,blue-yonder/tsfresh,tsfresh,,,time-series-data,['sklearn'],https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17+00:00,2020-12-15 07:10:20+00:00,2020-12-15 07:10:18+00:00,813.0,29.0,390.0,5226.0,398.0,2020-09-09 21:08:22+00:00,0.17.0,26.0,Automatic extraction of relevant features from time series:.,33.0,,69.0,26,https://pypi.org/project/tsfresh,2020-09-09 21:08:22+00:00,33.0,153557.0,153557.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n249,backtrader,mementum/backtrader,backtrader,,,financial-data,,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52+00:00,2020-12-16 04:54:58+00:00,2020-07-03 12:52:48+00:00,1617.0,13.0,,5188.0,2381.0,,,155.0,Python Backtesting library for trading strategies.,455.0,385.0,50.0,26,https://pypi.org/project/backtrader,2020-07-03 13:02:14+00:00,70.0,12069.0,12069.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,,\n250,auto-sklearn,automl/auto-sklearn,auto-sklearn,,,hyperopt,['sklearn'],https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10+00:00,2020-12-18 10:32:31+00:00,2020-12-07 14:42:03+00:00,961.0,118.0,551.0,5075.0,2387.0,2020-12-08 13:18:41+00:00,0.12.0,24.0,Automated Machine Learning with scikit-learn.,136.0,121.0,63.0,26,https://pypi.org/project/auto-sklearn,2020-12-08 13:18:41+00:00,15.0,5727.0,5727.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n251,DeepPavlov,deepmipt/DeepPavlov,deeppavlov,,,nlp,\"['tensorflow', 'keras']\",https://github.com/deepmipt/DeepPavlov,https://github.com/deepmipt/DeepPavlov,Apache-2.0,2017-11-17 14:35:29+00:00,2020-12-18 02:43:08+00:00,2020-11-13 11:16:19+00:00,872.0,62.0,445.0,4894.0,2572.0,2020-11-13 11:39:59+00:00,0.13.0,40.0,An open source library for deep learning end-to-end dialog systems and chatbots.,168.0,164.0,60.0,26,https://pypi.org/project/deeppavlov,2020-11-13 11:22:35+00:00,4.0,7058.0,7058.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n252,keras-rl,keras-rl/keras-rl,keras-rl,,,reinforcement-learning,['keras'],https://github.com/keras-rl/keras-rl,https://github.com/keras-rl/keras-rl,MIT,2016-07-02 15:53:12+00:00,2020-11-20 07:32:13+00:00,2019-11-11 22:14:54+00:00,1284.0,39.0,209.0,4889.0,308.0,2018-06-01 07:52:24+00:00,0.4.2,8.0,Deep Reinforcement Learning for Keras.,486.0,435.0,40.0,26,https://pypi.org/project/keras-rl,2018-06-01 07:52:24+00:00,51.0,1422.0,1422.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,,\n253,scikit-surprise,NicolasHug/Surprise,scikit-surprise,,,recommender-systems,,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38+00:00,2020-08-14 13:20:04+00:00,2020-08-05 17:45:59+00:00,805.0,35.0,285.0,4572.0,622.0,2020-07-19 14:50:48+00:00,1.1.1,9.0,A Python scikit for building and analyzing recommender systems.,852.0,828.0,38.0,26,https://pypi.org/project/scikit-surprise,2020-07-19 14:50:48+00:00,24.0,42037.0,42037.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n254,PDFMiner,euske/pdfminer,pdfminer,,,data-loading,,https://github.com/euske/pdfminer,https://github.com/euske/pdfminer,MIT,2010-12-12 12:50:22+00:00,2020-06-23 18:16:10+00:00,2020-01-18 07:00:32+00:00,1024.0,222.0,38.0,4449.0,540.0,,,24.0,Python PDF Parser (Not actively maintained). Check out pdfminer.six.,3374.0,1908.0,28.0,26,https://pypi.org/project/pdfminer,2019-11-25 12:02:21+00:00,1466.0,178454.0,178454.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n255,Metaflow,Netflix/metaflow,metaflow,,,ml-experiments,,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25+00:00,2020-12-17 16:56:23+00:00,2020-12-01 22:33:03+00:00,310.0,107.0,136.0,3857.0,174.0,2020-11-11 10:43:10+00:00,2.2.5,14.0,Build and manage real-life data science projects with ease.,98.0,97.0,28.0,26,https://pypi.org/project/metaflow,2020-10-29 00:11:07+00:00,1.0,37779.0,37779.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n256,MechanicalSoup,MechanicalSoup/MechanicalSoup,MechanicalSoup,,,web-scraping,,https://github.com/MechanicalSoup/MechanicalSoup,https://github.com/MechanicalSoup/MechanicalSoup,MIT,2014-05-26 09:06:11+00:00,2020-11-11 08:39:09+00:00,2020-11-11 08:39:08+00:00,308.0,21.0,119.0,3626.0,556.0,2019-08-27 16:49:38+00:00,0.12.0,23.0,A Python library for automating interaction with websites.,390.0,,41.0,26,https://pypi.org/project/MechanicalSoup,2019-08-27 16:49:38+00:00,390.0,31915.0,31915.0,,,,True,3,36.0,,,,,,,,,,,,,,,,,,,,,,,\n257,pyAudioAnalysis,tyiannak/pyAudioAnalysis,pyAudioAnalysis,,,audio,,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13+00:00,2020-12-18 08:17:50+00:00,2020-12-18 08:17:50+00:00,922.0,158.0,103.0,3597.0,673.0,2020-09-29 21:30:02+00:00,0.3.6,15.0,\"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.\",180.0,169.0,23.0,26,https://pypi.org/project/pyAudioAnalysis,2020-09-29 21:30:02+00:00,11.0,9635.0,9635.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n258,Perspective,finos/perspective,perspective-python,,,data-viz,['jupyter'],https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54+00:00,2020-12-17 23:50:43+00:00,2020-12-16 22:11:32+00:00,327.0,67.0,281.0,3050.0,4244.0,2020-10-15 13:18:28+00:00,0.5.6,38.0,Streaming pivot visualization via WebAssembly.,164.0,160.0,59.0,26,https://pypi.org/project/perspective-python,2020-10-15 13:18:28+00:00,4.0,565.0,1748.0,,,,True,3,,,,,,,,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2020-10-15 12:44:46.020000+00:00,,1183.0,,,,,,,,,,,\n259,yellowbrick,DistrictDataLabs/yellowbrick,yellowbrick,,,interpretability,['sklearn'],https://github.com/DistrictDataLabs/yellowbrick,https://github.com/DistrictDataLabs/yellowbrick,Apache-2.0,2016-05-18 14:12:17+00:00,2020-11-01 16:41:29+00:00,2020-11-01 16:41:28+00:00,462.0,83.0,505.0,3038.0,829.0,2020-10-09 19:34:55+00:00,1.2,19.0,Visual analysis and diagnostic tools to facilitate machine learning model selection.,62.0,,95.0,26,https://pypi.org/project/yellowbrick,2020-10-09 19:35:00+00:00,62.0,59898.0,59898.0,,,,True,2,,,,,,,,,,,,,,1.0,,,,,,,,,,\n260,textract,deanmalmgren/textract,textract,,,data-loading,,https://github.com/deanmalmgren/textract,https://github.com/deanmalmgren/textract,MIT,2014-07-03 20:36:59+00:00,2020-12-08 20:26:58+00:00,2019-11-14 08:37:39+00:00,415.0,84.0,121.0,2915.0,556.0,2019-08-26 15:05:53+00:00,1.6.3,15.0,extract text from any document. no muss. no fuss.,192.0,,30.0,26,https://pypi.org/project/textract,2019-08-26 15:05:53+00:00,192.0,52144.0,52144.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n261,sktime,alan-turing-institute/sktime,sktime,,,time-series-data,['sklearn'],https://github.com/alan-turing-institute/sktime,https://github.com/alan-turing-institute/sktime,BSD-3-Clause,2018-11-06 15:08:24+00:00,2020-12-18 04:53:39+00:00,2020-12-17 17:08:32+00:00,371.0,88.0,181.0,2700.0,1486.0,2020-10-20 17:12:29+00:00,0.4.3,9.0,A unified framework for machine learning with time series.,81.0,81.0,68.0,26,https://pypi.org/project/sktime,2020-10-20 16:11:01+00:00,,7060.0,7062.0,,,,True,1,41.0,,,,,,,,,,,,,,,,,,,,,,,\n262,Dagster,dagster-io/dagster,dagster,,,data-pipelines,,https://github.com/dagster-io/dagster,https://github.com/dagster-io/dagster,Apache-2.0,2018-04-30 16:30:04+00:00,2020-12-18 03:10:26+00:00,2020-12-18 03:10:22+00:00,248.0,592.0,1727.0,2431.0,6101.0,2020-12-11 04:26:56+00:00,0.9.22.post0,224.0,\"A data orchestrator for machine learning, analytics, and ETL.\",127.0,123.0,106.0,26,https://pypi.org/project/dagster,2020-12-11 04:26:29+00:00,4.0,30232.0,30232.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n263,pyinstrument,joerick/pyinstrument,pyinstrument,,,system-monitoring,,https://github.com/joerick/pyinstrument,https://github.com/joerick/pyinstrument,BSD-3-Clause,2014-03-13 17:53:13+00:00,2020-12-17 21:06:07+00:00,2020-12-17 17:44:46+00:00,89.0,18.0,51.0,2318.0,405.0,2020-08-21 11:12:14+00:00,3.2.0,26.0,Call stack profiler for Python. Shows you why your code is slow!.,333.0,197.0,21.0,26,https://pypi.org/project/pyinstrument,2020-09-09 18:00:59+00:00,136.0,49946.0,49946.0,,,,True,2,,,,,,,,,,,,,,1.0,,,,,,,,,,\n264,Hyperas,maxpumperla/hyperas,hyperas,,,hyperopt,['keras'],https://github.com/maxpumperla/hyperas,https://github.com/maxpumperla/hyperas,MIT,2016-02-19 14:45:10+00:00,2020-10-02 08:10:06+00:00,2020-10-02 08:10:05+00:00,296.0,88.0,158.0,2054.0,208.0,2019-02-28 09:16:54+00:00,0.4.1,9.0,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,209.0,188.0,21.0,26,https://pypi.org/project/hyperas,2019-02-28 09:16:54+00:00,21.0,15378.0,15378.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n265,Core ML Tools,apple/coremltools,coremltools,,,model-serialisation,,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02+00:00,2020-12-17 20:40:43+00:00,2020-12-17 20:40:42+00:00,319.0,295.0,296.0,2024.0,849.0,2020-10-10 18:21:00+00:00,4.0,27.0,\"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.\",559.0,426.0,107.0,26,https://pypi.org/project/coremltools,2020-10-10 18:16:12+00:00,133.0,39913.0,39968.0,,,,True,2,2160.0,,,,,,,,,,,,,,,,,,,,,,,\n266,Grab,lorien/grab,grab,,,web-scraping,,https://github.com/lorien/grab,https://github.com/lorien/grab,MIT,2013-05-01 08:10:22+00:00,2020-12-10 19:43:05+00:00,2020-12-08 03:50:03+00:00,242.0,26.0,189.0,2017.0,2179.0,2018-06-24 14:27:52+00:00,0.6.41,120.0,Web Scraping Framework.,398.0,298.0,65.0,26,https://pypi.org/project/grab,2018-06-24 14:27:52+00:00,100.0,2716.0,2716.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n267,Captum,pytorch/captum,captum,,,interpretability,['pytorch'],https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41+00:00,2020-12-18 00:12:11+00:00,2020-12-16 22:30:01+00:00,189.0,45.0,120.0,1991.0,770.0,2020-11-13 23:52:08+00:00,0.3.0,4.0,Model interpretability and understanding for PyTorch.,94.0,94.0,66.0,26,https://pypi.org/project/captum,2020-11-13 20:23:21+00:00,,8364.0,8364.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n268,BoTorch,pytorch/botorch,botorch,,,hyperopt,['pytorch'],https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57+00:00,2020-12-18 08:25:32+00:00,2020-12-18 08:25:22+00:00,171.0,40.0,106.0,1780.0,786.0,2020-12-08 06:47:25+00:00,0.3.3,16.0,Bayesian optimization in PyTorch.,70.0,70.0,47.0,26,https://pypi.org/project/botorch,2020-12-08 06:47:25+00:00,0.0,28917.0,28917.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n269,PyFunctional,EntilZha/PyFunctional,pyfunctional,,,data-pipelines,,https://github.com/EntilZha/PyFunctional,https://github.com/EntilZha/PyFunctional,MIT,2015-02-05 17:17:51+00:00,2020-12-16 20:36:15+00:00,2020-12-16 20:36:13+00:00,96.0,3.0,114.0,1747.0,514.0,2020-09-17 13:36:04+00:00,1.4.2,13.0,Python library for creating data pipelines with chain functional programming.,240.0,240.0,22.0,26,https://pypi.org/project/pyfunctional,2020-09-17 13:36:04+00:00,0.0,33660.0,33660.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n270,Foolbox,bethgelab/foolbox,foolbox,,,adversarial,,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48+00:00,2020-10-19 15:16:32+00:00,2020-10-19 12:41:49+00:00,307.0,38.0,260.0,1738.0,1634.0,2020-09-26 06:49:13+00:00,3.2.1,66.0,\"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.\",176.0,158.0,30.0,26,https://pypi.org/project/foolbox,2020-09-26 06:49:13+00:00,18.0,1481.0,1481.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n271,langid,saffsd/langid.py,langid,,,nlp,,https://github.com/saffsd/langid.py,https://github.com/saffsd/langid.py,BSD-3-Clause,2011-04-29 00:16:56+00:00,2020-01-01 10:49:30+00:00,2017-07-15 02:49:17+00:00,265.0,25.0,45.0,1689.0,242.0,2016-04-05 22:34:15+00:00,1.1.6,8.0,Stand-alone language identification system.,809.0,559.0,9.0,26,https://pypi.org/project/langid,2016-04-05 22:34:15+00:00,250.0,524345.0,524345.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,,\n272,Diamond,python-diamond/Diamond,diamond,,,system-monitoring,,https://github.com/python-diamond/Diamond,https://github.com/python-diamond/Diamond,MIT,2013-10-11 23:32:13+00:00,2020-05-26 18:27:46+00:00,2018-03-15 16:54:31+00:00,592.0,226.0,128.0,1592.0,3219.0,2016-11-25 22:13:29+00:00,4.0.515,36.0,Diamond is a python daemon that collects system metrics and publishes them to Graphite (and others). It is capable of..,85.0,54.0,342.0,26,https://pypi.org/project/diamond,2016-11-25 22:13:29+00:00,31.0,21290.0,21290.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,,\n273,tslearn,tslearn-team/tslearn,tslearn,conda-forge/tslearn,,time-series-data,['sklearn'],https://github.com/tslearn-team/tslearn,https://github.com/tslearn-team/tslearn,BSD-2-Clause,2017-05-04 13:08:13+00:00,2020-12-16 09:59:00+00:00,2020-12-07 10:09:00+00:00,209.0,51.0,159.0,1413.0,1525.0,2020-06-18 15:54:49+00:00,0.4.1,90.0,A machine learning toolkit dedicated to time-series data.,178.0,167.0,27.0,26,https://pypi.org/project/tslearn,2020-06-18 16:13:01+00:00,11.0,41037.0,41037.0,https://anaconda.org/conda-forge/tslearn,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n274,tesserocr,sirfz/tesserocr,tesserocr,conda-forge/tesserocr,,ocr,,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36+00:00,2020-11-17 19:55:51+00:00,2020-11-17 19:55:36+00:00,185.0,60.0,141.0,1366.0,151.0,2020-03-17 17:45:44+00:00,2.5.1,15.0,A Python wrapper for the tesseract-ocr API.,480.0,430.0,23.0,26,https://pypi.org/project/tesserocr,2020-03-17 17:45:44+00:00,50.0,44354.0,44354.0,https://anaconda.org/conda-forge/tesserocr,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n275,Flax,google/flax,flax,,,ml-frameworks,['jax'],https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37+00:00,2020-12-17 19:18:44+00:00,2020-12-17 18:30:38+00:00,147.0,114.0,102.0,1296.0,1388.0,2020-12-08 15:13:37+00:00,0.3.0,9.0,Flax is a neural network ecosystem for JAX that is designed for flexibility.,70.0,67.0,68.0,26,https://pypi.org/project/flax,2020-12-08 15:14:03+00:00,3.0,51941.0,51943.0,,,,True,3,18.0,,,,,,,,,,,,,,,,,,,,,,,\n276,TF Model Optimization,tensorflow/model-optimization,tensorflow-model-optimization,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/model-optimization,https://github.com/tensorflow/model-optimization,Apache-2.0,2018-10-31 20:34:28+00:00,2020-12-17 11:06:04+00:00,2020-11-23 18:50:28+00:00,207.0,70.0,86.0,931.0,459.0,2020-09-14 04:46:03+00:00,0.5.0,20.0,\"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.\",486.0,483.0,41.0,26,https://pypi.org/project/tensorflow-model-optimization,2020-09-14 04:36:08+00:00,3.0,57742.0,57742.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n277,petl,petl-developers/petl,petl,,http://petl.readthedocs.org,data-pipelines,,https://github.com/petl-developers/petl,https://github.com/petl-developers/petl,MIT,2011-08-19 09:51:03+00:00,2020-12-10 17:03:13+00:00,2020-10-06 16:17:45+00:00,146.0,66.0,341.0,802.0,1098.0,2020-10-06 00:03:28+00:00,1.6.8,74.0,Python Extract Transform and Load Tables of Data.,413.0,299.0,42.0,26,https://pypi.org/project/petl,2020-10-06 00:03:28+00:00,114.0,16445.0,16445.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n278,cx-Oracle,oracle/python-cx_Oracle,cx-Oracle,,,db-clients,,https://github.com/oracle/python-cx_Oracle,https://github.com/oracle/python-cx_Oracle,BSD-3-Clause,2017-03-07 04:03:36+00:00,2020-12-13 12:29:47+00:00,2020-12-08 20:18:07+00:00,243.0,33.0,456.0,685.0,1074.0,2020-12-08 21:31:48+00:00,8.1.0,32.0,Python interface to Oracle Database conforming to the Python DB API 2.0 specification.,144.0,,16.0,26,https://pypi.org/project/cx-Oracle,2020-12-08 21:31:48+00:00,144.0,1022891.0,1022891.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n279,dask-ml,dask/dask-ml,dask-ml,,,distributed-ml,,https://github.com/dask/dask-ml,https://github.com/dask/dask-ml,BSD-3-Clause,2017-06-15 15:56:06+00:00,2020-11-25 22:14:18+00:00,2020-11-25 22:14:17+00:00,178.0,173.0,200.0,678.0,749.0,2020-09-24 19:34:38+00:00,1.7.0,26.0,Scalable Machine Learning with Dask.,359.0,317.0,60.0,26,https://pypi.org/project/dask-ml,2020-09-24 19:34:38+00:00,42.0,43308.0,43308.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n280,TensorFlow Text,tensorflow/text,tensorflow-text,,,nlp,['tensorflow'],https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03+00:00,2020-12-18 03:52:35+00:00,2020-12-17 23:41:19+00:00,84.0,41.0,81.0,670.0,314.0,2020-12-17 23:50:31+00:00,2.4.1,30.0,Making text a first-class citizen in TensorFlow.,375.0,371.0,30.0,26,https://pypi.org/project/tensorflow-text,2020-12-17 23:23:59+00:00,4.0,126387.0,126387.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n281,empyrical,quantopian/empyrical,empyrical,,,financial-data,,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52+00:00,2020-10-14 13:23:19+00:00,2020-10-14 13:22:39+00:00,205.0,27.0,26.0,658.0,167.0,2020-10-13 21:28:25+00:00,0.5.5,20.0,Common financial risk and performance metrics. Used by zipline and pyfolio.,703.0,481.0,22.0,26,https://pypi.org/project/empyrical,2020-10-13 17:31:37+00:00,222.0,12476.0,12476.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n282,PyVista,pyvista/pyvista,pyvista,,,data-viz,['jupyter'],https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42+00:00,2020-12-17 09:09:10+00:00,2020-12-11 18:45:40+00:00,132.0,114.0,259.0,618.0,2041.0,2020-12-10 16:30:09+00:00,0.27.4,32.0,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,241.0,215.0,46.0,26,https://pypi.org/project/pyvista,2020-12-10 16:30:09+00:00,26.0,10098.0,10098.0,,,,True,3,15.0,,,,,,,,,,,,,,,,,,,,,,,\n283,zarr,zarr-developers/zarr-python,zarr,zarr,,data-containers,,https://github.com/zarr-developers/zarr-python,https://github.com/zarr-developers/zarr-python,MIT,2015-12-15 14:49:40+00:00,2020-12-16 21:57:06+00:00,2020-12-16 20:56:40+00:00,102.0,176.0,228.0,601.0,1351.0,2020-10-08 19:26:53+00:00,2.5.0,31.0,\"An implementation of chunked, compressed, N-dimensional arrays for Python.\",564.0,492.0,35.0,26,https://pypi.org/project/zarr,2020-12-02 18:33:13+00:00,72.0,22262.0,22262.0,https://anaconda.org/anaconda/zarr,2020-10-08 19:26:53+00:00,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n284,Mesh,tensorflow/mesh,mesh-tensorflow,,,distributed-ml,['tensorflow'],https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34+00:00,2020-12-17 23:23:35+00:00,2020-12-17 23:23:25+00:00,107.0,61.0,12.0,598.0,566.0,2020-12-17 23:10:07+00:00,0.1.18,24.0,Mesh TensorFlow: Model Parallelism Made Easier.,491.0,463.0,38.0,26,https://pypi.org/project/mesh-tensorflow,2020-12-17 23:10:07+00:00,28.0,76155.0,76155.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n285,SMAC3,automl/SMAC3,smac,,,hyperopt,,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-3-Clause,2016-08-17 10:58:05+00:00,2020-12-17 23:15:32+00:00,2020-10-29 10:14:55+00:00,153.0,76.0,250.0,542.0,1888.0,2020-10-29 10:57:56+00:00,0.13.1,29.0,Sequential Model-based Algorithm Configuration.,58.0,,30.0,26,https://pypi.org/project/smac,2020-10-29 10:57:56+00:00,58.0,9776.0,9776.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n286,mpi4py,mpi4py/mpi4py,mpi4py,,,distributed-ml,,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-3-Clause,2013-09-05 14:44:25+00:00,2020-12-17 10:03:07+00:00,2020-12-16 18:31:06+00:00,60.0,,3.0,366.0,2169.0,2020-07-27 06:40:19+00:00,3.0.3,13.0,Python bindings for MPI.,700.0,,13.0,26,https://pypi.org/project/mpi4py,2019-11-04 13:05:10+00:00,700.0,224355.0,224392.0,,,,True,2,188.0,,,,,,,,,,,,,,,,,,,,,,,\n287,hvPlot,holoviz/hvplot,hvplot,,,data-viz,,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41+00:00,2020-12-15 10:41:07+00:00,2020-11-18 20:38:19+00:00,49.0,95.0,214.0,333.0,360.0,2020-12-16 22:59:26+00:00,0.7.0,9.0,\"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.\",409.0,394.0,22.0,26,https://pypi.org/project/hvplot,2020-06-02 00:27:18+00:00,15.0,73652.0,73652.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n288,cloudant,cloudant/python-cloudant,cloudant,,,db-clients,,https://github.com/cloudant/python-cloudant,https://github.com/cloudant/python-cloudant,Apache-2.0,2015-08-28 16:22:49+00:00,2020-12-18 03:57:08+00:00,2020-11-25 17:20:12+00:00,44.0,39.0,240.0,156.0,802.0,2020-08-18 12:14:54+00:00,2.14.0,46.0,A Python library for Cloudant and CouchDB.,1770.0,1236.0,27.0,26,https://pypi.org/project/cloudant,2020-08-18 11:22:22+00:00,534.0,45317.0,45317.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n289,MMDetection,open-mmlab/mmdetection,,,,image,['pytorch'],https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06+00:00,2020-12-18 10:03:24+00:00,2020-12-15 14:46:59+00:00,4435.0,379.0,2793.0,12908.0,1356.0,2020-11-30 15:29:24+00:00,2.7.0,7.0,OpenMMLab Detection Toolbox and Benchmark.,17.0,17.0,180.0,25,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n290,NuPIC,numenta/nupic,nupic,,,ml-frameworks,,https://github.com/numenta/nupic,https://github.com/numenta/nupic,AGPL-3.0,2013-04-05 23:14:27+00:00,2020-12-11 19:56:36+00:00,2019-10-23 20:45:07+00:00,1585.0,456.0,1337.0,6190.0,6625.0,2018-06-01 15:37:54+00:00,1.0.5,53.0,\"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..\",124.0,86.0,119.0,25,https://pypi.org/project/nupic,2018-06-01 15:37:54+00:00,38.0,1487.0,1487.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n291,PyTorch Image Models,rwightman/pytorch-image-models,,,,image,['pytorch'],https://github.com/rwightman/pytorch-image-models,https://github.com/rwightman/pytorch-image-models,Apache-2.0,2019-02-02 05:51:12+00:00,2020-12-18 06:58:24+00:00,2020-12-08 18:19:36+00:00,831.0,22.0,195.0,5973.0,633.0,2020-10-26 23:59:21+00:00,0.1-itjx,12.0,\"PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2,..\",209.0,209.0,25.0,25,,,,,7529.0,,,,True,3,143058.0,,,,,,,,,,,,,,,,,,,,,,,\n292,Trax,google/trax,trax,,,others,,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14+00:00,2020-12-18 08:54:38+00:00,2020-12-18 08:54:31+00:00,499.0,53.0,96.0,5409.0,1216.0,2020-10-21 02:32:42+00:00,1.3.6,19.0,Trax Deep Learning with Clear Code and Speed.,14.0,14.0,53.0,25,https://pypi.org/project/trax,2020-10-21 02:31:08+00:00,,2678.0,2678.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n293,CleverHans,tensorflow/cleverhans,cleverhans,,,adversarial,['tensorflow'],https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04+00:00,2020-12-09 17:37:00+00:00,2020-07-09 02:26:15+00:00,1209.0,52.0,373.0,4866.0,3001.0,2018-11-27 17:36:15+00:00,3.0.1,6.0,\"An adversarial example library for constructing attacks, building defenses, and benchmarking both.\",182.0,174.0,108.0,25,https://pypi.org/project/cleverhans,2018-11-27 17:36:15+00:00,8.0,765.0,765.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n294,Edward,blei-lab/edward,edward,,,probabilistics,['tensorflow'],https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05+00:00,2019-10-22 20:30:48+00:00,2018-07-25 01:28:08+00:00,767.0,212.0,327.0,4583.0,1796.0,2018-01-22 06:03:37+00:00,1.3.5,28.0,\"A probabilistic programming language in TensorFlow. Deep generative models, variational inference.\",239.0,202.0,87.0,25,https://pypi.org/project/edward,2018-01-22 06:03:05+00:00,37.0,1266.0,1266.0,,,,False,3,10.0,,,,,,,,,,,,,,,,,,,,,,,\n295,Augmentor,mdbloice/Augmentor,Augmentor,,,image,,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55+00:00,2020-11-10 05:20:01+00:00,2020-03-09 11:32:02+00:00,777.0,115.0,67.0,4245.0,511.0,2020-01-17 11:59:53+00:00,0.2.8,20.0,Image augmentation library in Python for machine learning.,307.0,265.0,22.0,25,https://pypi.org/project/Augmentor,2020-01-17 11:59:53+00:00,42.0,2819.0,2819.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n296,BigDL,intel-analytics/BigDL,bigdl,,,distributed-ml,,https://github.com/intel-analytics/BigDL,https://github.com/intel-analytics/BigDL,Apache-2.0,2016-08-29 07:59:50+00:00,2020-12-17 07:49:11+00:00,2020-12-10 06:32:39+00:00,899.0,180.0,725.0,3679.0,2655.0,2020-12-06 03:04:34+00:00,0.12.1,36.0,BigDL: Distributed Deep Learning Framework for Apache Spark.,22.0,19.0,71.0,25,https://pypi.org/project/bigdl,2020-12-06 03:04:34+00:00,3.0,1132.0,1132.0,,,,True,2,,,,,,,,,,,,,,,,,,,com.intel.analytics.bigdl:bigdl-SPARK_2.4,https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4,2020-12-05 03:54:47+00:00,0.0,,\n297,mlpack,mlpack/mlpack,mlpack,,,ml-frameworks,,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59+00:00,2020-12-18 07:58:46+00:00,2020-12-16 01:22:21+00:00,1276.0,156.0,1170.0,3489.0,25512.0,2020-10-28 18:28:47+00:00,3.4.2,40.0,mlpack: a scalable C++ machine learning library --.,,,257.0,25,https://pypi.org/project/mlpack,2020-10-28 18:28:47+00:00,,333.0,333.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n298,pyfolio,quantopian/pyfolio,pyfolio,,,financial-data,,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39+00:00,2020-07-29 16:06:37+00:00,2020-07-15 13:46:58+00:00,992.0,119.0,263.0,3300.0,1184.0,2019-04-15 14:54:03+00:00,0.9.1,21.0,Portfolio and risk analytics in Python.,209.0,182.0,55.0,25,https://pypi.org/project/pyfolio,2019-04-15 14:54:03+00:00,27.0,5482.0,5482.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n299,Alpha Vantage,RomelTorres/alpha_vantage,alpha_vantage,,,financial-data,,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00+00:00,2020-09-05 22:07:00+00:00,2020-09-03 14:05:24+00:00,534.0,18.0,190.0,2904.0,467.0,2020-04-26 21:04:59+00:00,2.2.0,28.0,A python wrapper for Alpha Vantage API for financial data.,202.0,,34.0,25,https://pypi.org/project/alpha_vantage,2018-08-26 18:55:11+00:00,202.0,25218.0,25218.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n300,ftfy,LuminosoInsight/python-ftfy,ftfy,,,nlp,,https://github.com/LuminosoInsight/python-ftfy,https://github.com/LuminosoInsight/python-ftfy,MIT,2012-08-24 16:14:59+00:00,2020-08-21 18:13:12+00:00,2020-07-17 21:21:57+00:00,98.0,12.0,92.0,2858.0,510.0,2020-02-18 16:42:00+00:00,5.6.1,41.0,\"Fixes mojibake and other glitches in Unicode text, after the fact.\",3253.0,2493.0,17.0,25,https://pypi.org/project/ftfy,2020-07-20 21:50:51+00:00,760.0,259465.0,259465.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n301,AutoGluon,awslabs/autogluon,autogluon,,,hyperopt,['mxnet'],https://github.com/awslabs/autogluon,https://github.com/awslabs/autogluon,Apache-2.0,2019-07-29 18:51:24+00:00,2020-12-18 07:38:26+00:00,2020-12-16 22:38:01+00:00,367.0,146.0,214.0,2823.0,443.0,2020-12-08 19:01:22+00:00,0.0.15,267.0,\"AutoGluon: AutoML for Text, Image, and Tabular Data.\",42.0,42.0,50.0,25,https://pypi.org/project/autogluon,2020-12-16 09:14:31+00:00,0.0,9669.0,9669.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n302,Chartify,spotify/chartify,chartify,,,data-viz,,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05+00:00,2020-11-02 22:14:08+00:00,2020-11-02 22:11:04+00:00,242.0,40.0,30.0,2785.0,186.0,2020-11-02 22:14:08+00:00,3.0.3,16.0,Python library that makes it easy for data scientists to create charts.,56.0,51.0,19.0,25,https://pypi.org/project/chartify,2020-11-02 22:14:08+00:00,5.0,9682.0,9682.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n303,nevergrad,facebookresearch/nevergrad,nevergrad,,,hyperopt,,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17+00:00,2020-12-18 10:33:14+00:00,2020-12-17 10:31:37+00:00,265.0,68.0,114.0,2752.0,728.0,2020-08-04 12:13:07+00:00,0.4.2,25.0,A Python toolbox for performing gradient-free optimization.,118.0,104.0,40.0,25,https://pypi.org/project/nevergrad,2020-12-10 15:37:29+00:00,14.0,7350.0,7350.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n304,Stable Baselines,hill-a/stable-baselines,stable-baselines,,,reinforcement-learning,,https://github.com/hill-a/stable-baselines,https://github.com/hill-a/stable-baselines,MIT,2018-07-02 14:28:59+00:00,2020-12-15 19:08:26+00:00,2020-10-12 12:10:17+00:00,542.0,120.0,704.0,2706.0,834.0,2020-08-05 19:45:11+00:00,2.10.1,30.0,\"A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.\",25.0,,109.0,25,https://pypi.org/project/stable-baselines,2020-08-05 19:42:14+00:00,25.0,8657.0,8657.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n305,Sumy,miso-belica/sumy,sumy,,,nlp,,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48+00:00,2020-11-21 17:08:35+00:00,2020-11-21 17:08:33+00:00,432.0,10.0,78.0,2443.0,397.0,2019-05-19 14:39:21+00:00,0.8.1,13.0,Module for automatic summarization of text documents and HTML pages.,801.0,609.0,20.0,25,https://pypi.org/project/sumy,2019-05-19 14:38:29+00:00,192.0,8962.0,8962.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n306,Pony,ponyorm/pony,pony,conda-forge/pony,,db-clients,,https://github.com/ponyorm/pony,https://github.com/ponyorm/pony,Apache-2.0,2013-02-08 04:56:00+00:00,2020-11-23 19:12:54+00:00,2020-11-23 17:42:03+00:00,186.0,235.0,299.0,2397.0,,2020-11-23 19:13:28+00:00,0.7.14,44.0,Pony Object Relational Mapper.,2142.0,1604.0,20.0,25,https://pypi.org/project/pony,2020-11-23 18:56:34+00:00,538.0,24946.0,24946.0,https://anaconda.org/conda-forge/pony,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n307,Neural Network Libraries,sony/nnabla,nnabla,,,ml-frameworks,,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10+00:00,2020-12-18 08:04:46+00:00,2020-12-18 08:03:45+00:00,303.0,35.0,18.0,2387.0,2224.0,2020-12-10 11:43:51+00:00,1.14.0,49.0,Neural Network Libraries.,34.0,,55.0,25,https://pypi.org/project/nnabla,2020-11-04 05:00:37+00:00,34.0,2715.0,2727.0,,,,True,3,506.0,,,,,,,,,,,,,,,,,,,,,,,\n308,gpustat,wookayin/gpustat,gpustat,,,system-monitoring,,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43+00:00,2020-05-19 04:45:48+00:00,2020-05-19 04:45:47+00:00,180.0,18.0,44.0,2142.0,165.0,2019-07-22 06:37:00+00:00,0.6.0,10.0,A simple command-line utility for querying and monitoring GPU status.,576.0,518.0,10.0,25,https://pypi.org/project/gpustat,2019-07-22 06:17:48+00:00,58.0,146535.0,146535.0,,,,True,3,,,,,,,,,,,,,,5.0,,,,,,,,,,\n309,polyglot,aboSamoor/polyglot,polyglot,,,nlp,,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,GPL-3.0,2014-06-30 02:07:45+00:00,2020-10-27 10:55:53+00:00,2020-09-22 22:35:28+00:00,292.0,132.0,62.0,1729.0,271.0,2016-07-03 20:05:42+00:00,16.7.4,8.0,Multilingual text (NLP) processing toolkit.,473.0,408.0,26.0,25,https://pypi.org/project/polyglot,2016-07-03 20:05:42+00:00,65.0,47525.0,47525.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,,\n310,Jina,jina-ai/jina,jina,,,nlp,,https://github.com/jina-ai/jina,https://github.com/jina-ai/jina,Apache-2.0,2020-02-13 17:04:44+00:00,2020-12-18 10:17:25+00:00,2020-12-18 08:46:52+00:00,294.0,37.0,474.0,1695.0,4186.0,2020-12-14 14:15:05+00:00,0.8.7,95.0,An easier way to build neural search in the cloud.,39.0,39.0,72.0,25,https://pypi.org/project/jina,2020-12-15 15:04:53+00:00,,1259.0,7396.0,,,,True,2,,,,jinaai/jina,https://hub.docker.com/r/jinaai/jina,2020-12-18 04:28:17.384515+00:00,,61370.0,,,,,,,,,,,,,,,,\n311,category_encoders,scikit-learn-contrib/category_encoders,category_encoders,,,others,['sklearn'],https://github.com/scikit-learn-contrib/category_encoders,https://github.com/scikit-learn-contrib/category_encoders,BSD-3-Clause,2015-11-29 19:32:37+00:00,2020-11-10 15:17:22+00:00,2020-07-31 10:43:44+00:00,289.0,61.0,133.0,1528.0,671.0,2020-04-29 02:09:51+00:00,2.2.2,19.0,A library of sklearn compatible categorical variable encoders.,23.0,,34.0,25,https://pypi.org/project/category_encoders,2018-10-14 14:15:54+00:00,23.0,396227.0,396227.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n312,swifter,jmcarpenter2/swifter,swifter,,,data-containers,['pandas'],https://github.com/jmcarpenter2/swifter,https://github.com/jmcarpenter2/swifter,MIT,2018-04-07 21:37:19+00:00,2020-10-11 22:49:24+00:00,2020-10-11 22:48:00+00:00,69.0,13.0,76.0,1474.0,422.0,2020-10-11 22:42:57+00:00,1.0.7,71.0,A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner.,281.0,265.0,14.0,25,https://pypi.org/project/swifter,2020-10-11 22:42:57+00:00,16.0,50344.0,50344.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n313,streamparse,Parsely/streamparse,streamparse,,,data-pipelines,,https://github.com/Parsely/streamparse,https://github.com/Parsely/streamparse,Apache-2.0,2014-05-02 20:33:50+00:00,2020-10-07 19:53:33+00:00,2020-10-07 19:37:17+00:00,219.0,69.0,263.0,1420.0,1058.0,2020-10-07 19:53:15+00:00,4.0.0,47.0,\"Run Python in Apache Storm topologies. Pythonic API, CLI tooling, and a topology DSL.\",72.0,46.0,40.0,25,https://pypi.org/project/streamparse,2020-10-07 19:45:19+00:00,26.0,1827.0,1827.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n314,jellyfish,jamesturk/jellyfish,jellyfish,,,nlp,,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,BSD-2-Clause,2010-07-09 20:41:11+00:00,2020-12-08 01:19:02+00:00,2020-12-08 01:18:57+00:00,118.0,9.0,86.0,1376.0,,2020-05-21 20:37:01+00:00,0.8.2,27.0,a python library for doing approximate and phonetic matching of strings.,2559.0,1913.0,19.0,25,https://pypi.org/project/jellyfish,2020-05-21 20:37:01+00:00,646.0,822174.0,822174.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n315,Ax,facebook/Ax,ax-platform,,,hyperopt,['pytorch'],https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44+00:00,2020-12-18 05:55:56+00:00,2020-12-15 20:46:48+00:00,137.0,32.0,171.0,1349.0,879.0,2020-12-08 19:07:48+00:00,0.1.19,20.0,Adaptive Experimentation Platform.,116.0,112.0,88.0,25,https://pypi.org/project/ax-platform,2020-12-08 19:07:48+00:00,4.0,19150.0,19150.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n316,AWS Data Wrangler,awslabs/aws-data-wrangler,awswrangler,,,db-clients,['pandas'],https://github.com/awslabs/aws-data-wrangler,https://github.com/awslabs/aws-data-wrangler,Apache-2.0,2019-02-26 01:39:02+00:00,2020-12-15 17:54:08+00:00,2020-12-12 23:37:50+00:00,208.0,32.0,239.0,1280.0,1161.0,2020-12-11 10:58:40+00:00,2.0.1,102.0,Pandas on AWS.,,,51.0,25,https://pypi.org/project/awswrangler,2020-12-11 10:44:36+00:00,,394395.0,395494.0,,,,True,3,18685.0,,,,,,,,,,,,,,,,,,,,,,,\n317,ViZDoom,mwydmuch/ViZDoom,vizdoom,,,reinforcement-learning,,https://github.com/mwydmuch/ViZDoom,https://github.com/mwydmuch/ViZDoom,MIT,2015-06-26 18:38:23+00:00,2020-12-16 10:27:24+00:00,2020-12-16 10:26:56+00:00,276.0,89.0,324.0,1139.0,1459.0,2020-10-29 15:54:47+00:00,1.1.8,19.0,Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information.,107.0,95.0,43.0,25,https://pypi.org/project/vizdoom,2020-10-29 15:56:20+00:00,12.0,511.0,690.0,,,,True,2,10212.0,,,,,,,,,,,,,,,,,,,,,,,\n318,ArcGIS API,Esri/arcgis-python-api,arcgis,,,geospatial-data,,https://github.com/Esri/arcgis-python-api,https://github.com/Esri/arcgis-python-api,Apache-2.0,2016-03-16 01:09:14+00:00,2020-12-18 10:01:41+00:00,2020-12-15 00:26:58+00:00,676.0,125.0,185.0,921.0,2855.0,2020-12-15 21:49:37+00:00,1.8.3,25.0,Documentation and samples for ArcGIS API for Python.,10.0,,60.0,25,https://pypi.org/project/arcgis,2020-11-30 16:13:47+00:00,10.0,12368.0,12430.0,,,,True,3,,,,esridocker/arcgis-api-python-notebook,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,2020-03-06 00:53:45.164342+00:00,28.0,3585.0,,,,,,,,,,,,,,,,\n319,kmodes,nicodv/kmodes,kmodes,,,others,,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40+00:00,2020-11-04 05:52:59+00:00,2020-11-04 05:52:58+00:00,335.0,19.0,106.0,783.0,448.0,2020-02-25 21:38:29+00:00,0.10.2,12.0,\"Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data.\",388.0,375.0,16.0,25,https://pypi.org/project/kmodes,2020-02-25 21:30:28+00:00,13.0,64488.0,64488.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n320,CLTK,cltk/cltk,cltk,,,nlp,,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47+00:00,2020-12-11 22:29:54+00:00,2020-12-11 22:29:52+00:00,295.0,126.0,357.0,624.0,2771.0,2020-06-22 06:03:33+00:00,0.1.121,159.0,The Classical Language Toolkit.,212.0,144.0,107.0,25,https://pypi.org/project/cltk,2020-12-03 17:29:28+00:00,68.0,1265.0,1265.0,,,,True,2,21.0,,,,,,,,,,,,,,,,,,,,,,,\n321,TensorFlow I/O,tensorflow/io,tensorflow-io,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05+00:00,2020-12-18 10:51:35+00:00,2020-12-17 18:35:51+00:00,141.0,112.0,259.0,390.0,1310.0,2020-12-15 00:45:37+00:00,0.17.0,21.0,\"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.\",82.0,82.0,69.0,25,https://pypi.org/project/tensorflow-io,2020-12-15 00:42:35+00:00,0.0,30592.0,30592.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n322,Altair,ellisonbg/altair,altair,,,data-viz,,https://github.com/ellisonbg/altair,https://github.com/ellisonbg/altair,BSD-3-Clause,2016-09-26 16:59:17+00:00,2020-04-01 13:23:10+00:00,2018-05-18 19:10:50+00:00,19.0,,,243.0,1802.0,2020-04-01 13:23:10+00:00,4.1.0,26.0,Declarative statistical visualization library for Python.,370.0,,50.0,25,https://pypi.org/project/altair,2020-04-01 13:23:10+00:00,370.0,643068.0,643068.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n323,ParlAI,facebookresearch/ParlAI,parlai,,,nlp,['pytorch'],https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44+00:00,2020-12-18 05:06:09+00:00,2020-12-17 22:39:46+00:00,1373.0,111.0,793.0,6825.0,3549.0,2020-12-16 23:15:51+00:00,0.10.0,12.0,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,4.0,4.0,134.0,24,https://pypi.org/project/parlai,2020-12-16 23:15:51+00:00,,679.0,679.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n324,Facets Overview,pair-code/facets,facets-overview,,,data-viz,['jupyter'],https://github.com/PAIR-code/facets,https://github.com/PAIR-code/facets,Apache-2.0,2017-07-07 14:03:03+00:00,2020-10-27 19:51:23+00:00,2020-10-27 19:51:22+00:00,785.0,70.0,75.0,6421.0,259.0,2019-07-24 15:33:29+00:00,0.9.1,4.0,Visualizations for machine learning datasets.,34.0,34.0,27.0,24,https://pypi.org/project/facets-overview,2019-07-24 15:33:29+00:00,,18358.0,18358.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n325,PyText,facebookresearch/pytext,pytext-nlp,,,nlp,['pytorch'],https://github.com/facebookresearch/pytext,https://github.com/facebookresearch/pytext,BSD-3-Clause,2018-07-31 23:40:46+00:00,2020-12-17 21:15:20+00:00,2020-12-16 13:30:07+00:00,756.0,115.0,74.0,6094.0,1331.0,2020-06-08 23:30:58+00:00,0.3.3,12.0,A natural language modeling framework based on PyTorch.,53.0,52.0,145.0,24,https://pypi.org/project/pytext-nlp,2020-04-27 08:09:25+00:00,1.0,357.0,365.0,,,,True,3,207.0,,,,,,,,,,,,,,,,,,,,,,,\n326,mmdnn,Microsoft/MMdnn,mmdnn,,,model-serialisation,,https://github.com/microsoft/MMdnn,https://github.com/microsoft/MMdnn,MIT,2017-08-16 08:03:52+00:00,2020-10-22 09:57:53+00:00,2020-08-14 02:32:30+00:00,919.0,307.0,282.0,5123.0,1083.0,2020-07-24 06:34:39+00:00,0.3.1,12.0,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,49.0,46.0,85.0,24,https://pypi.org/project/mmdnn,2020-07-24 06:34:39+00:00,3.0,817.0,905.0,,,,True,2,3258.0,,,,,,,,,,,,,,,,,,,,,,,\n327,stanza,stanfordnlp/stanza,stanza,stanfordnlp/stanza,,nlp,,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56+00:00,2020-12-18 04:45:41+00:00,2020-08-13 23:07:54+00:00,618.0,69.0,350.0,4933.0,1514.0,2020-08-13 06:26:20+00:00,1.1.1,9.0,Official Stanford NLP Python Library for Many Human Languages.,2.0,,28.0,24,https://pypi.org/project/stanza,2020-08-13 06:08:07+00:00,2.0,15539.0,15539.0,https://anaconda.org/stanfordnlp/stanza,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n328,PyTorch3D,facebookresearch/pytorch3d,pytorch3d,pytorch3d/pytorch3d,,image,['pytorch'],https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,MIT,2019-10-25 02:23:45+00:00,2020-12-17 12:11:05+00:00,2020-12-17 12:10:56+00:00,454.0,56.0,380.0,4116.0,326.0,2020-11-12 10:28:29+00:00,0.3.0,5.0,PyTorch3D is FAIR's library of reusable components for deep learning with 3D data.,37.0,37.0,49.0,24,https://pypi.org/project/pytorch3d,2020-11-12 10:28:29+00:00,,4958.0,4958.0,https://anaconda.org/pytorch3d/pytorch3d,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n329,Lucid,tensorflow/lucid,lucid,,,interpretability,['tensorflow'],https://github.com/tensorflow/lucid,https://github.com/tensorflow/lucid,Apache-2.0,2018-01-25 17:41:44+00:00,2020-12-14 12:53:11+00:00,2020-11-24 20:56:27+00:00,546.0,67.0,93.0,4002.0,632.0,2019-01-17 19:46:43+00:00,0.3.9-alpha,16.0,A collection of infrastructure and tools for research in neural network interpretability.,361.0,355.0,34.0,24,https://pypi.org/project/lucid,2018-12-20 00:26:11+00:00,6.0,604.0,604.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n330,TensorFlowOnSpark,yahoo/TensorFlowOnSpark,tensorflowonspark,,,distributed-ml,\"['tensorflow', 'spark']\",https://github.com/yahoo/TensorFlowOnSpark,https://github.com/yahoo/TensorFlowOnSpark,Apache-2.0,2017-01-20 18:15:57+00:00,2020-07-27 20:01:38+00:00,2020-07-27 19:59:42+00:00,897.0,5.0,336.0,3601.0,582.0,2020-03-16 18:59:39+00:00,2.2.1,28.0,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,44.0,39.0,33.0,24,https://pypi.org/project/tensorflowonspark,2020-03-16 18:26:55+00:00,5.0,29027.0,29027.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n331,line_profiler,rkern/line_profiler,line_profiler,,,system-monitoring,,https://github.com/rkern/line_profiler,https://github.com/rkern/line_profiler,BSD-3-Clause,2014-08-31 11:45:05+00:00,2019-12-11 01:23:33+00:00,2019-04-23 20:54:43+00:00,245.0,71.0,87.0,3491.0,102.0,2017-12-20 02:30:37+00:00,2.1.2,8.0,(OLD REPO) Line-by-line profiling for Python - Current repo -.,692.0,,14.0,24,https://pypi.org/project/line_profiler,2017-12-20 02:30:37+00:00,692.0,210640.0,210640.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n332,T5,google-research/text-to-text-transfer-transformer,t5,,,nlp,['tensorflow'],https://github.com/google-research/text-to-text-transfer-transformer,https://github.com/google-research/text-to-text-transfer-transformer,Apache-2.0,2019-10-17 21:45:14+00:00,2020-12-17 22:46:17+00:00,2020-12-17 17:30:34+00:00,401.0,32.0,268.0,3051.0,362.0,2020-12-17 19:30:06+00:00,0.8.0,24.0,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,18.0,18.0,28.0,24,https://pypi.org/project/t5,2020-12-17 19:30:06+00:00,,5045.0,5045.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n333,Camelot,atlanhq/camelot,camelot-py,,,data-loading,,https://github.com/atlanhq/camelot,https://github.com/atlanhq/camelot,MIT,2016-06-18 11:48:49+00:00,2020-07-27 12:28:15+00:00,2019-10-15 05:25:40+00:00,298.0,61.0,273.0,2953.0,446.0,2020-07-27 12:28:15+00:00,0.8.2,21.0,Camelot: PDF Table Extraction for Humans.,10.0,,23.0,24,https://pypi.org/project/camelot-py,2020-07-27 12:28:15+00:00,10.0,26144.0,26144.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n334,TensorForce,tensorforce/tensorforce,tensorforce,,,reinforcement-learning,['tensorflow'],https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22+00:00,2020-12-06 18:31:38+00:00,2020-12-06 18:31:30+00:00,472.0,10.0,535.0,2816.0,2008.0,2020-10-03 16:00:39+00:00,0.6.2,12.0,Tensorforce: a TensorFlow library for applied reinforcement learning.,23.0,,76.0,24,https://pypi.org/project/tensorforce,2019-09-07 13:56:18+00:00,23.0,968.0,968.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n335,pytorch-summary,sksq96/pytorch-summary,torchsummary,,,pytorch-utils,['pytorch'],https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04+00:00,2020-09-11 22:33:42+00:00,2020-08-07 01:16:40+00:00,334.0,100.0,36.0,2814.0,56.0,2018-09-26 05:07:28+00:00,1.5.1,12.0,Model summary in PyTorch similar to `model.summary()` in Keras.,1756.0,1638.0,11.0,24,https://pypi.org/project/torchsummary,2018-09-26 05:07:28+00:00,118.0,28794.0,28794.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n336,xLearn,aksnzhy/xlearn,xlearn,,,ml-frameworks,,https://github.com/aksnzhy/xlearn,https://github.com/aksnzhy/xlearn,Apache-2.0,2017-06-10 08:09:31+00:00,2020-07-06 19:54:25+00:00,2020-03-03 10:12:35+00:00,479.0,176.0,107.0,2805.0,1340.0,2019-04-25 02:10:05+00:00,0.4.4,15.0,\"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..\",39.0,38.0,30.0,24,https://pypi.org/project/xlearn,2018-12-04 11:05:06+00:00,1.0,9741.0,9806.0,,,,True,3,2176.0,,,,,,,,,,,,,,,,,,,,,,,\n337,DeepChem,deepchem/deepchem,deepchem,,,others,['tensorflow'],https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28+00:00,2020-12-18 06:49:13+00:00,2020-12-18 04:11:15+00:00,873.0,321.0,835.0,2592.0,5943.0,2019-10-11 01:49:20+00:00,2.3.0,184.0,\"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.\",36.0,32.0,143.0,24,https://pypi.org/project/deepchem,2020-11-19 05:39:10+00:00,4.0,2078.0,2078.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n338,DoWhy,Microsoft/dowhy,dowhy,conda-forge/dowhy,,interpretability,,https://github.com/microsoft/dowhy,https://github.com/microsoft/dowhy,MIT,2018-05-31 13:07:04+00:00,2020-12-13 08:20:31+00:00,2020-12-13 08:20:30+00:00,353.0,12.0,77.0,2531.0,404.0,2020-12-12 15:26:03+00:00,0.5.1,5.0,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,22.0,22.0,37.0,24,https://pypi.org/project/dowhy,2020-12-12 15:26:03+00:00,,7147.0,7148.0,https://anaconda.org/conda-forge/dowhy,,,True,2,17.0,,,,,,,,,,,,,,,,,,,,,,,\n339,Arctic,man-group/arctic,arctic,,,data-containers,,https://github.com/man-group/arctic,https://github.com/man-group/arctic,LGPL-2.1,2015-05-29 13:37:30+00:00,2020-12-02 16:19:11+00:00,2020-12-02 16:19:07+00:00,428.0,84.0,420.0,2113.0,1065.0,2020-12-01 23:17:26+00:00,1.79.4,83.0,Arctic is a high performance datastore for numeric data.,143.0,101.0,69.0,24,https://pypi.org/project/arctic,2020-12-01 23:16:12+00:00,42.0,2936.0,2937.0,,,,False,3,83.0,,,,,,,,,,,,,,,,,,,,,,,\n340,TextDistance,life4/textdistance,textdistance,,,nlp,,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10+00:00,2020-04-13 10:34:33+00:00,2020-04-13 10:34:26+00:00,155.0,9.0,,1837.0,289.0,2020-04-13 10:17:59+00:00,.4.2.0,20.0,\"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..\",293.0,265.0,7.0,24,https://pypi.org/project/textdistance,2020-04-13 09:59:27+00:00,28.0,104086.0,104088.0,,,,True,3,96.0,,,,,,,,,,,,,,,,,,,,,,,\n341,mongo-connector,yougov/mongo-connector,mongo-connector,,,db-clients,,https://github.com/yougov/mongo-connector,https://github.com/yougov/mongo-connector,Apache-2.0,2012-08-09 23:39:36+00:00,2020-08-03 08:07:40+00:00,2018-12-05 18:23:06+00:00,454.0,226.0,504.0,1755.0,1112.0,2018-12-05 19:18:21+00:00,3.1.1,51.0,MongoDB data stream pipeline tools by YouGov (adopted from MongoDB).,119.0,90.0,62.0,24,https://pypi.org/project/mongo-connector,2018-12-05 19:18:21+00:00,29.0,2816.0,2816.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n342,StellarGraph,stellargraph/stellargraph,stellargraph,,,graph,['keras'],https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51+00:00,2020-09-28 06:38:11+00:00,2020-07-21 04:03:09+00:00,245.0,211.0,693.0,1678.0,2515.0,2020-06-30 05:15:21+00:00,1.2.1,25.0,StellarGraph - Machine Learning on Graphs.,40.0,38.0,28.0,24,https://pypi.org/project/stellargraph,2020-06-25 09:38:56+00:00,2.0,9613.0,9613.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n343,Alphalens,quantopian/alphalens,alphalens,,,financial-data,,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15+00:00,2020-09-05 16:48:14+00:00,2020-04-27 18:40:41+00:00,598.0,38.0,144.0,1651.0,522.0,2020-04-30 15:42:52+00:00,0.4.0,10.0,Performance analysis of predictive (alpha) stock factors.,352.0,338.0,25.0,24,https://pypi.org/project/alphalens,2020-04-27 21:03:10+00:00,14.0,1499.0,1499.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n344,pgmpy,pgmpy/pgmpy,pgmpy,,,probabilistics,,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58+00:00,2020-12-12 22:04:27+00:00,2020-12-12 22:04:27+00:00,539.0,225.0,484.0,1649.0,6.0,2020-09-30 14:12:15+00:00,0.1.12,10.0,Python Library for learning (Structure and Parameter) and inference (Statistical and Causal) in Bayesian Networks.,173.0,167.0,87.0,24,https://pypi.org/project/pgmpy,2020-06-30 12:59:43+00:00,6.0,17264.0,17269.0,,,,True,3,34.0,,,,,,,,,,,,,,,,,,,,,,,\n345,HyperTools,ContextLab/hypertools,hypertools,,,data-viz,,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25+00:00,2020-10-29 02:47:18+00:00,2020-10-02 21:09:56+00:00,151.0,69.0,120.0,1600.0,1565.0,2020-10-02 21:38:16+00:00,0.6.3,19.0,A Python toolbox for gaining geometric insights into high-dimensional data.,99.0,90.0,20.0,24,https://pypi.org/project/hypertools,2020-10-02 21:41:53+00:00,9.0,733.0,733.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n346,Pythran,serge-sans-paille/pythran,pythran,conda-forge/pythran,,others,,https://github.com/serge-sans-paille/pythran,https://github.com/serge-sans-paille/pythran,BSD-3-Clause,2012-05-29 08:02:14+00:00,2020-12-15 13:53:57+00:00,2020-12-15 13:53:37+00:00,134.0,99.0,534.0,1485.0,3295.0,2020-12-09 20:06:55+00:00,0.9.8,44.0,Ahead of Time compiler for numeric kernels.,59.0,46.0,47.0,24,https://pypi.org/project/pythran,2020-12-11 23:02:35+00:00,13.0,993.0,993.0,https://anaconda.org/conda-forge/pythran,,,True,2,,,,,,,,,,,,,,-1.0,,,,,,,,,pythran,python-pythran\n347,TorchServe,pytorch/serve,torchserve,torchserve,,model-serialisation,['pytorch'],https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43+00:00,2020-12-18 10:58:42+00:00,2020-12-18 02:32:06+00:00,208.0,134.0,374.0,1445.0,1030.0,2020-12-18 01:38:41+00:00,0.3.0,6.0,Model Serving on PyTorch.,23.0,23.0,61.0,24,https://pypi.org/project/torchserve,2020-12-17 19:04:04+00:00,,1661.0,2689.0,https://anaconda.org/anaconda/torchserve,,,True,2,136.0,,,pytorch/torchserve,https://hub.docker.com/r/pytorch/torchserve,2020-08-11 21:27:29.340543+00:00,3.0,14164.0,,,,,,,,,,,,,,,,\n348,Elephas,maxpumperla/elephas,elephas,,,distributed-ml,\"['keras', 'spark']\",https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19+00:00,2020-10-02 08:09:20+00:00,2020-10-02 08:09:15+00:00,279.0,51.0,80.0,1433.0,336.0,2019-03-20 17:02:37+00:00,0.4.3,9.0,Distributed Deep learning with Keras & Spark.,36.0,33.0,25.0,24,https://pypi.org/project/elephas,2020-02-10 13:38:21+00:00,3.0,11572.0,11572.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n349,PyTextRank,DerwenAI/pytextrank,pytextrank,,,nlp,,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12+00:00,2020-11-18 14:09:32+00:00,2020-09-21 19:22:46+00:00,280.0,15.0,37.0,1369.0,147.0,2020-09-15 16:51:59+00:00,2.0.3,10.0,Python implementation of TextRank for phrase extraction and summarization of text documents.,123.0,117.0,10.0,24,https://pypi.org/project/pytextrank,2020-09-15 16:51:59+00:00,6.0,11555.0,11555.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n350,TFX,tensorflow/tfx,tfx,,,data-pipelines,['tensorflow'],https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36+00:00,2020-12-18 03:29:58+00:00,2020-12-18 00:57:17+00:00,363.0,200.0,301.0,1262.0,2968.0,2020-11-19 20:19:41+00:00,0.25.0,36.0,TFX is an end-to-end platform for deploying production ML pipelines.,2.0,,96.0,24,https://pypi.org/project/tfx,2020-11-19 21:33:15+00:00,2.0,48581.0,48581.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n351,Fairness 360,Trusted-AI/AIF360,aif360,,,interpretability,,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15+00:00,2020-11-23 20:50:06+00:00,2020-10-28 02:10:25+00:00,375.0,35.0,46.0,1162.0,288.0,2020-06-02 22:59:53+00:00,0.3.0,8.0,\"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..\",62.0,60.0,40.0,24,https://pypi.org/project/aif360,2020-06-02 22:49:24+00:00,2.0,3928.0,3928.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n352,IB-insync,erdewit/ib_insync,ib_insync,,,financial-data,,https://github.com/erdewit/ib_insync,https://github.com/erdewit/ib_insync,BSD-2-Clause,2017-07-12 12:09:24+00:00,2020-12-13 10:15:17+00:00,2020-12-13 10:15:02+00:00,369.0,3.0,273.0,1144.0,544.0,2020-11-03 13:37:57+00:00,0.9.64,89.0,Python sync/async framework for Interactive Brokers API.,12.0,,25.0,24,https://pypi.org/project/ib_insync,2020-11-03 13:37:57+00:00,12.0,3239.0,3239.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n353,TextAttack,QData/TextAttack,textattack,,,adversarial,,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44+00:00,2020-12-18 06:41:19+00:00,2020-12-17 17:49:40+00:00,118.0,24.0,68.0,1135.0,1868.0,2020-11-18 15:41:35+00:00,0.2.14,34.0,\"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP.\",11.0,11.0,29.0,24,https://pypi.org/project/textattack,2020-11-18 02:29:52+00:00,,1392.0,1392.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n354,Optimus,ironmussa/Optimus,optimuspyspark,,,data-pipelines,['spark'],https://github.com/ironmussa/Optimus,https://github.com/ironmussa/Optimus,Apache-2.0,2017-07-13 02:31:18+00:00,2020-12-17 17:40:28+00:00,2020-11-19 14:04:43+00:00,188.0,139.0,165.0,962.0,3520.0,2020-07-19 03:05:40+00:00,2.2.32,85.0,\"Agile Data Preparation Workflows madeeasy with dask, cudf, dask_cudf and pyspark.\",11.0,11.0,21.0,24,https://pypi.org/project/optimuspyspark,2019-05-30 02:22:54+00:00,,6695.0,6695.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n355,Streamz,python-streamz/streamz,streamz,,,time-series-data,,https://github.com/python-streamz/streamz,https://github.com/python-streamz/streamz,BSD-3-Clause,2017-04-04 21:45:49+00:00,2020-12-10 21:50:53+00:00,2020-12-10 21:02:45+00:00,110.0,89.0,125.0,891.0,723.0,2020-11-02 14:53:29+00:00,0.6.1,14.0,Real-time stream processing for python.,192.0,176.0,38.0,24,https://pypi.org/project/streamz,2020-11-02 14:53:29+00:00,16.0,3630.0,3630.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n356,PySAL,pysal/pysal,pysal,,,geospatial-data,,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42+00:00,2020-08-01 00:57:58+00:00,2020-08-01 00:57:56+00:00,241.0,58.0,568.0,800.0,4067.0,2020-07-30 03:12:31+00:00,2.3.0,24.0,PySAL: Python Spatial Analysis Library Meta-Package.,18.0,,69.0,24,https://pypi.org/project/pysal,2020-07-30 03:12:31+00:00,18.0,10161.0,10161.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n357,SciSpacy,allenai/scispacy,scispacy,,,nlp,,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52+00:00,2020-11-23 14:08:16+00:00,2020-11-10 19:32:41+00:00,115.0,17.0,121.0,760.0,786.0,2020-10-16 17:13:40+00:00,0.3.0,9.0,A full spaCy pipeline and models for scientific/biomedical documents.,195.0,183.0,14.0,24,https://pypi.org/project/scispacy,2020-10-16 17:13:40+00:00,12.0,11731.0,11731.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n358,ffn,pmorissette/ffn,ffn,,,financial-data,,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09+00:00,2020-12-18 03:04:16+00:00,2020-12-18 01:00:27+00:00,168.0,16.0,57.0,719.0,301.0,2018-05-28 14:01:56+00:00,0.3.4,25.0,ffn - a financial function library for Python.,110.0,94.0,23.0,24,https://pypi.org/project/ffn,2018-05-28 14:01:56+00:00,16.0,11266.0,11266.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n359,GPyOpt,SheffieldML/GPyOpt,gpyopt,,,hyperopt,,https://github.com/SheffieldML/GPyOpt,https://github.com/SheffieldML/GPyOpt,BSD-3-Clause,2014-08-13 09:58:25+00:00,2020-11-17 10:32:02+00:00,2020-11-05 15:16:04+00:00,214.0,100.0,186.0,698.0,514.0,2020-03-19 21:21:18+00:00,1.2.6,11.0,Gaussian Process Optimization using GPy.,196.0,160.0,49.0,24,https://pypi.org/project/gpyopt,2020-03-19 11:37:45+00:00,36.0,5694.0,5694.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n360,Hail,hail-is/hail,hail,,,medical-data,['spark'],https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42+00:00,2020-12-17 21:54:54+00:00,2020-12-17 15:02:00+00:00,179.0,323.0,1934.0,688.0,7617.0,2020-12-03 19:29:37+00:00,0.2.61,81.0,Scalable genomic data analysis.,26.0,26.0,68.0,24,https://pypi.org/project/hail,2020-12-03 19:29:37+00:00,,1636.0,1636.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n361,ktrain,amaiya/ktrain,ktrain,,,ml-frameworks,['keras'],https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39+00:00,2020-12-14 17:30:56+00:00,2020-12-08 19:31:01+00:00,167.0,8.0,270.0,687.0,2113.0,2020-12-05 17:45:32+00:00,0.25.2,145.0,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,107.0,106.0,12.0,24,https://pypi.org/project/ktrain,2020-12-05 17:43:35+00:00,1.0,7786.0,7786.0,,,,True,3,,,,,,,,,,,,,,-1.0,,,,,,,,,,\n362,pythreejs,jupyter-widgets/pythreejs,pythreejs,,,data-viz,['jupyter'],https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,BSD-3-Clause,2013-12-23 17:02:11+00:00,2020-12-08 14:18:43+00:00,2020-10-09 09:41:09+00:00,156.0,56.0,136.0,687.0,1594.0,2020-03-19 11:32:37+00:00,2.2.1,42.0,A Jupyter - Three.js bridge.,36.0,15.0,24.0,24,https://pypi.org/project/pythreejs,2020-10-09 09:40:47+00:00,13.0,7651.0,12759.0,,,,True,3,,,,,,,,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,2020-03-19 11:22:13.041000+00:00,8.0,5108.0,,,,,,,,,,,\n363,PennyLane,PennyLaneAI/PennyLane,pennylane,,,others,,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42+00:00,2020-12-18 07:07:37+00:00,2020-12-17 06:35:10+00:00,196.0,50.0,214.0,668.0,1728.0,2020-12-08 23:55:57+00:00,0.13.0-post1,17.0,PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum..,20.0,,36.0,24,https://pypi.org/project/pennylane,2020-11-27 18:07:34+00:00,20.0,2602.0,2604.0,,,,True,2,52.0,,,,,,,,,,,,,,,,,,,,,,,\n364,arch,bashtage/arch,arch,,,financial-data,,https://github.com/bashtage/arch,https://github.com/bashtage/arch,NCSA,2014-08-29 15:41:28+00:00,2020-12-18 08:15:40+00:00,2020-12-17 13:42:54+00:00,150.0,14.0,120.0,617.0,733.0,2020-06-24 19:19:12+00:00,4.15,26.0,ARCH models in Python.,242.0,221.0,25.0,24,https://pypi.org/project/arch,2020-06-24 19:20:21+00:00,21.0,77127.0,77127.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,,\n365,pyjanitor,ericmjl/pyjanitor,pyjanitor,,,others,,https://github.com/ericmjl/pyjanitor,https://github.com/ericmjl/pyjanitor,MIT,2018-03-04 22:43:33+00:00,2020-12-13 01:54:59+00:00,2020-12-12 17:04:05+00:00,119.0,89.0,277.0,602.0,1162.0,2020-10-03 12:24:35+00:00,0.20.10,46.0,Clean APIs for data cleaning. Python implementation of R package Janitor.,72.0,70.0,87.0,24,https://pypi.org/project/pyjanitor,2020-10-03 12:24:35+00:00,2.0,1661.0,1661.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n366,neo4j-driver,neo4j/neo4j-python-driver,neo4j-driver,,,db-clients,,https://github.com/neo4j/neo4j-python-driver,https://github.com/neo4j/neo4j-python-driver,Apache-2.0,2015-05-05 13:08:20+00:00,2020-12-18 10:09:10+00:00,2020-12-10 08:19:46+00:00,131.0,1.0,167.0,583.0,,2020-11-17 09:58:48+00:00,4.2.0,79.0,Neo4j Bolt driver for Python.,382.0,,26.0,24,https://pypi.org/project/neo4j-driver,2020-11-17 09:58:48+00:00,382.0,65193.0,65193.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n367,pyahocorasick,WojciechMula/pyahocorasick,pyahocorasick,,,nlp,,https://github.com/WojciechMula/pyahocorasick,https://github.com/WojciechMula/pyahocorasick,BSD-3-Clause,2013-05-30 19:55:46+00:00,2020-12-17 09:09:27+00:00,2020-04-06 18:13:55+00:00,85.0,29.0,63.0,561.0,392.0,2018-12-20 19:06:01+00:00,1.4.0,22.0,Python module (C extension and plain python) implementing Aho-Corasick algorithm.,507.0,443.0,19.0,24,https://pypi.org/project/pyahocorasick,2019-01-14 16:20:13+00:00,64.0,153261.0,153261.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n368,HappyBase,python-happybase/happybase,happybase,conda-forge/happybase,,db-clients,,https://github.com/python-happybase/happybase,https://github.com/python-happybase/happybase,MIT,2012-05-20 20:06:10+00:00,2020-04-09 10:46:31+00:00,2020-04-09 10:46:29+00:00,151.0,27.0,179.0,552.0,283.0,2017-04-03 21:13:18+00:00,1.1.0,11.0,A developer-friendly Python library to interact with Apache HBase.,868.0,446.0,19.0,24,https://pypi.org/project/happybase,2017-04-03 21:13:18+00:00,422.0,56983.0,56983.0,https://anaconda.org/conda-forge/happybase,,,True,3,,,,,,,,,,,,,,-1.0,,,,,,,,,,\n369,micawber,coleifer/micawber,micawber,,,web-scraping,,https://github.com/coleifer/micawber,https://github.com/coleifer/micawber,MIT,2012-03-27 21:42:46+00:00,2020-12-17 23:11:27+00:00,2020-12-17 15:44:21+00:00,77.0,1.0,52.0,510.0,190.0,2020-12-17 15:44:56+00:00,0.5.2,22.0,a small library for extracting rich content from urls.,851.0,479.0,25.0,24,https://pypi.org/project/micawber,2020-12-17 15:44:56+00:00,372.0,3220.0,3220.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n370,Intake,intake/intake,intake,,,data-loading,,https://github.com/intake/intake,https://github.com/intake/intake,BSD-2-Clause,2017-08-14 20:44:22+00:00,2020-12-17 21:04:23+00:00,2020-12-16 20:19:01+00:00,91.0,75.0,189.0,504.0,1612.0,2020-06-03 19:03:40+00:00,0.6.0,19.0,\"Intake is a lightweight package for finding, investigating, loading and disseminating data.\",284.0,210.0,51.0,24,https://pypi.org/project/intake,2020-06-03 19:03:40+00:00,74.0,3194.0,3194.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n371,detectron2,facebookresearch/detectron2,,,,image,['pytorch'],https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20+00:00,2020-12-18 10:38:06+00:00,2020-12-18 10:37:59+00:00,3451.0,84.0,2013.0,14093.0,881.0,2020-11-06 03:20:56+00:00,0.3,7.0,Detectron2 is FAIR's next-generation platform for object detection and segmentation.,133.0,133.0,138.0,23,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n372,Ciphey,Ciphey/Ciphey,ciphey,,,nlp,,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39+00:00,2020-12-18 09:10:16+00:00,2020-12-07 03:11:45+00:00,327.0,45.0,168.0,5879.0,1712.0,2020-12-02 12:36:44+00:00,5.11.0,43.0,\"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.\",,,38.0,23,https://pypi.org/project/ciphey,2020-12-02 12:36:44+00:00,,3062.0,3469.0,,,,True,3,,,,remnux/ciphey,https://hub.docker.com/r/remnux/ciphey,2020-12-17 02:51:41.340501+00:00,1.0,6921.0,,,,,,,,,,,,,,,,\n373,flashtext,vi3k6i5/flashtext,flashtext,,,nlp,,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01+00:00,2020-06-05 00:37:46+00:00,2020-05-03 07:13:22+00:00,521.0,48.0,48.0,4581.0,108.0,,,18.0,Extract Keywords from sentence or Replace keywords in sentences.,348.0,316.0,8.0,23,https://pypi.org/project/flashtext,2018-02-16 05:24:17+00:00,32.0,242349.0,242349.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n374,DeepSpeed,microsoft/DeepSpeed,deepspeed,,,distributed-ml,['pytorch'],https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,MIT,2020-01-23 18:35:18+00:00,2020-12-18 07:17:26+00:00,2020-12-18 07:17:19+00:00,342.0,79.0,138.0,3836.0,375.0,2020-11-25 23:20:56+00:00,0.3.8,16.0,\"DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.\",4.0,4.0,34.0,23,https://pypi.org/project/deepspeed,2020-12-09 17:12:01+00:00,,1306.0,1892.0,,,,True,3,,,,deepspeed/deepspeed,https://hub.docker.com/r/deepspeed/deepspeed,2020-11-20 00:17:12.819964+00:00,2.0,6452.0,,,,,,,,,,,,,,,,\n375,Great Expectations,great-expectations/great_expectations,great_expectations,,,data-pipelines,,https://github.com/great-expectations/great_expectations,https://github.com/great-expectations/great_expectations,Apache-2.0,2017-09-11 00:18:46+00:00,2020-12-18 08:03:10+00:00,2020-12-17 19:04:54+00:00,365.0,142.0,577.0,3271.0,,2020-12-15 02:59:14+00:00,0.13.3,93.0,Always know what to expect from your data.,6.0,,136.0,23,https://pypi.org/project/great_expectations,2020-12-08 21:04:05+00:00,6.0,313730.0,313730.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n376,torchdiffeq,rtqichen/torchdiffeq,torchdiffeq,,,pytorch-utils,['pytorch'],https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25+00:00,2020-12-10 14:53:29+00:00,2020-10-30 23:58:55+00:00,550.0,20.0,94.0,3269.0,132.0,2020-09-16 23:32:05+00:00,0.1.1,3.0,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,52.0,52.0,19.0,23,https://pypi.org/project/torchdiffeq,2020-09-16 23:32:05+00:00,,2015.0,2015.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n377,VisualDL,PaddlePaddle/VisualDL,visualdl,,,ml-experiments,['paddle'],https://github.com/PaddlePaddle/VisualDL,https://github.com/PaddlePaddle/VisualDL,Apache-2.0,2017-12-20 12:34:31+00:00,2020-12-17 12:42:28+00:00,2020-12-17 12:42:27+00:00,424.0,19.0,306.0,3036.0,,2020-11-26 10:19:27+00:00,2.0.5,29.0,Deep Learning Visualization Toolkit.,119.0,114.0,24.0,23,https://pypi.org/project/visualdl,2020-11-26 10:16:06+00:00,5.0,3741.0,3750.0,,,,True,3,56.0,,,,,,,,,,,,,,,,,,,,,,,\n378,keras-vis,raghakot/keras-vis,keras-vis,,,interpretability,,https://github.com/raghakot/keras-vis,https://github.com/raghakot/keras-vis,MIT,2016-11-11 23:27:34+00:00,2020-04-20 01:03:13+00:00,2020-04-20 01:03:12+00:00,558.0,110.0,99.0,2759.0,195.0,2017-07-06 04:55:04+00:00,0.4.1,11.0,Neural network visualization toolkit for keras.,633.0,605.0,10.0,23,https://pypi.org/project/keras-vis,2017-07-06 04:55:04+00:00,28.0,2696.0,2696.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n379,gallery-dl,mikf/gallery-dl,gallery-dl,,,web-scraping,,https://github.com/mikf/gallery-dl,https://github.com/mikf/gallery-dl,GPL-2.0,2014-10-12 19:38:05+00:00,2020-12-17 15:21:32+00:00,2020-12-17 15:12:59+00:00,216.0,204.0,886.0,2697.0,2754.0,2020-12-12 22:24:39+00:00,1.16.0,87.0,Command-line program to download image galleries and collections from several image hosting sites.,4.0,,27.0,23,https://pypi.org/project/gallery-dl,2020-11-27 17:38:00+00:00,4.0,5333.0,6573.0,,,,False,3,75699.0,,,,,,,,,,,,,,,,,,,,,,,\n380,PML,KevinMusgrave/pytorch-metric-learning,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,pytorch-utils,['pytorch'],https://github.com/KevinMusgrave/pytorch-metric-learning,https://github.com/KevinMusgrave/pytorch-metric-learning,MIT,2019-10-23 17:20:35+00:00,2020-12-14 17:11:02+00:00,2020-12-11 18:33:07+00:00,342.0,30.0,164.0,2515.0,526.0,2020-12-11 05:13:08+00:00,0.9.95,135.0,\"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.\",40.0,40.0,11.0,23,https://pypi.org/project/pytorch-metric-learning,2019-12-27 11:28:11+00:00,0.0,4617.0,4617.0,https://anaconda.org/metric-learning/pytorch-metric-learning,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n381,WikiExtractor,attardi/wikiextractor,wikiextractor,,,web-scraping,,https://github.com/attardi/wikiextractor,https://github.com/attardi/wikiextractor,AGPL-3.0,2015-03-22 12:03:01+00:00,2020-12-17 12:18:10+00:00,2020-12-17 12:17:34+00:00,719.0,81.0,107.0,2473.0,217.0,2020-12-05 19:18:56+00:00,3.0.4,3.0,A tool for extracting plain text from Wikipedia dumps.,39.0,35.0,29.0,23,https://pypi.org/project/wikiextractor,2020-12-05 19:18:56+00:00,4.0,1987.0,1987.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n382,scikit-plot,reiinakano/scikit-plot,scikit-plot,,,interpretability,['sklearn'],https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59+00:00,2020-07-22 16:19:25+00:00,2018-08-19 12:37:47+00:00,237.0,21.0,38.0,1972.0,130.0,2018-08-19 12:21:01+00:00,0.3.7,27.0,An intuitive library to add plotting functionality to scikit-learn objects.,672.0,645.0,13.0,23,https://pypi.org/project/scikit-plot,2018-08-19 12:18:46+00:00,27.0,54877.0,54877.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,,\n383,einops,arogozhnikov/einops,einops,,,ml-frameworks,,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08+00:00,2020-11-21 03:15:40+00:00,2020-11-14 04:18:36+00:00,60.0,22.0,36.0,1937.0,290.0,2020-09-08 08:33:29+00:00,0.3,3.0,\"Deep learning operations reinvented (for pytorch, tensorflow, chainer, gluon and others).\",152.0,142.0,10.0,23,https://pypi.org/project/einops,2020-09-08 08:21:26+00:00,10.0,10315.0,10315.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n384,ART,Trusted-AI/adversarial-robustness-toolbox,adversarial-robustness-toolbox,,,adversarial,,https://github.com/Trusted-AI/adversarial-robustness-toolbox,https://github.com/Trusted-AI/adversarial-robustness-toolbox,MIT,2018-03-15 14:40:43+00:00,2020-12-17 21:19:19+00:00,2020-12-10 21:58:50+00:00,548.0,51.0,318.0,1905.0,,2020-12-01 01:59:38+00:00,1.5.0,26.0,\"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..\",92.0,92.0,58.0,23,https://pypi.org/project/adversarial-robustness-toolbox,2020-12-01 01:03:21+00:00,,2594.0,2594.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n385,SRU,asappresearch/sru,sru,,,pytorch-utils,['pytorch'],https://github.com/asappresearch/sru,https://github.com/asappresearch/sru,MIT,2017-08-28 20:37:41+00:00,2020-12-17 19:41:19+00:00,2020-12-17 19:36:53+00:00,278.0,47.0,53.0,1855.0,378.0,2020-12-17 19:40:55+00:00,2.6.0-rc1,21.0,Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755).,16.0,15.0,20.0,23,https://pypi.org/project/sru,2020-12-17 19:41:19+00:00,1.0,3228.0,3228.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n386,pytorch-nlp,PetrochukM/PyTorch-NLP,pytorch-nlp,,,nlp,['pytorch'],https://github.com/PetrochukM/PyTorch-NLP,https://github.com/PetrochukM/PyTorch-NLP,BSD-3-Clause,2018-02-25 05:00:36+00:00,2020-10-11 02:41:30+00:00,2020-10-11 02:41:24+00:00,223.0,14.0,49.0,1840.0,442.0,2019-11-04 05:16:00+00:00,0.5.0,19.0,Basic Utilities for PyTorch Natural Language Processing (NLP).,177.0,159.0,17.0,23,https://pypi.org/project/pytorch-nlp,2019-11-04 04:35:18+00:00,18.0,4168.0,4168.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n387,Acme,deepmind/acme,dm-acme,,,reinforcement-learning,['tensorflow'],https://github.com/deepmind/acme,https://github.com/deepmind/acme,Apache-2.0,2020-05-01 09:18:12+00:00,2020-12-17 12:47:09+00:00,2020-12-17 12:46:33+00:00,174.0,37.0,43.0,1822.0,319.0,2020-10-23 15:59:12+00:00,0.2.0,8.0,A library of reinforcement learning components and agents.,16.0,16.0,29.0,23,https://pypi.org/project/dm-acme,2020-07-24 13:03:30+00:00,,608.0,608.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n388,Essentia,MTG/essentia,essentia,,,audio,,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47+00:00,2020-12-16 16:22:02+00:00,2020-12-16 16:22:01+00:00,388.0,278.0,557.0,1682.0,2689.0,2015-03-31 16:33:30+00:00,2.0,8.0,\"C++ library for audio and music analysis, description and synthesis, including Python bindings.\",143.0,138.0,69.0,23,https://pypi.org/project/essentia,2020-04-22 16:31:02+00:00,5.0,1425.0,1425.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n389,DDSP,magenta/ddsp,ddsp,,,audio,['tensorflow'],https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27+00:00,2020-12-17 05:02:36+00:00,2020-12-17 05:02:26+00:00,155.0,16.0,81.0,1673.0,333.0,2020-11-11 21:25:25+00:00,0.13.0,25.0,DDSP: Differentiable Digital Signal Processing.,5.0,5.0,21.0,23,https://pypi.org/project/ddsp,2020-08-21 20:19:47+00:00,,1609.0,1609.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n390,GluonTS,awslabs/gluon-ts,gluonts,,,time-series-data,['mxnet'],https://github.com/awslabs/gluon-ts,https://github.com/awslabs/gluon-ts,Apache-2.0,2019-05-15 17:17:29+00:00,2020-12-17 23:43:39+00:00,2020-12-17 15:50:29+00:00,344.0,180.0,334.0,1612.0,615.0,2020-12-08 15:07:54+00:00,0.6.4,27.0,Probabilistic time series modeling in Python.,,,64.0,23,https://pypi.org/project/gluonts,2020-12-08 15:07:54+00:00,,21376.0,21376.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n391,Spektral,danielegrattarola/spektral,spektral,,,graph,\"['keras', 'tensorflow']\",https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10+00:00,2020-12-15 18:01:36+00:00,2020-12-15 18:00:24+00:00,174.0,20.0,87.0,1548.0,406.0,2020-12-10 21:12:38+00:00,1.0.3,26.0,Graph Neural Networks with Keras and Tensorflow 2.,25.0,25.0,15.0,23,https://pypi.org/project/spektral,2020-12-10 21:12:38+00:00,,3933.0,3933.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n392,Pillow-SIMD,uploadcare/pillow-simd,pillow-simd,,,image,,https://github.com/uploadcare/pillow-simd,https://github.com/uploadcare/pillow-simd,PIL,2014-11-12 15:33:02+00:00,2020-11-03 07:45:01+00:00,2020-06-02 14:50:14+00:00,66.0,11.0,52.0,1512.0,,2020-01-02 05:19:26+00:00,7.0.0,35.0,The friendly PIL fork.,396.0,346.0,310.0,23,https://pypi.org/project/pillow-simd,2020-01-26 14:30:27+00:00,50.0,25039.0,25039.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n393,bonobo,python-bonobo/bonobo,bonobo,,http://docs.bonobo-project.org/en/master/,data-pipelines,,https://github.com/python-bonobo/bonobo,https://github.com/python-bonobo/bonobo,Apache-2.0,2016-12-09 04:03:23+00:00,2020-12-11 07:33:03+00:00,2019-07-20 13:19:49+00:00,111.0,62.0,106.0,1355.0,978.0,2019-05-16 13:19:48+00:00,0.6.4,38.0,Extract Transform Load for Python 3.5+.,126.0,102.0,35.0,23,https://pypi.org/project/bonobo,2019-07-20 13:33:19+00:00,24.0,3179.0,3179.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n394,Talos,autonomio/talos,talos,,,hyperopt,['keras'],https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41+00:00,2020-11-21 16:37:14+00:00,2020-11-21 16:27:04+00:00,220.0,41.0,342.0,1343.0,538.0,2020-11-09 16:48:30+00:00,1.0,13.0,\"Hyperparameter Optimization for TensorFlow, Keras and PyTorch.\",107.0,101.0,19.0,23,https://pypi.org/project/talos,2020-11-09 16:46:45+00:00,6.0,1251.0,1251.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n395,Pandaral·lel,nalepae/pandarallel,pandarallel,,,data-containers,\"['pandas', 'jupyter']\",https://github.com/nalepae/pandarallel,https://github.com/nalepae/pandarallel,BSD-3-Clause,2019-03-10 11:58:29+00:00,2020-12-16 13:29:31+00:00,2020-12-16 13:29:29+00:00,88.0,55.0,52.0,1292.0,110.0,2020-08-25 16:33:28+00:00,1.5.1,28.0,A simple and efficient tool to parallelize Pandas operations on all availableCPUs.,128.0,128.0,13.0,23,https://pypi.org/project/pandarallel,2020-08-25 16:33:28+00:00,,46407.0,46407.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n396,TNT,pytorch/tnt,torchnet,,,ml-experiments,['pytorch'],https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58+00:00,2020-01-15 16:00:31+00:00,2020-01-15 16:00:30+00:00,178.0,30.0,34.0,1259.0,155.0,2019-11-15 12:57:59+00:00,0.0.5.1,3.0,\"Simple tools for logging and visualizing, loading and training.\",541.0,491.0,34.0,23,https://pypi.org/project/torchnet,2018-07-29 23:16:03+00:00,50.0,7372.0,7372.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n397,hnswlib,nmslib/hnswlib,hnswlib,,,nn-search,,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46+00:00,2020-12-14 05:10:44+00:00,2020-08-18 21:30:59+00:00,224.0,72.0,102.0,1253.0,195.0,2020-07-13 04:50:55+00:00,0.4.0,3.0,Header-only C++/python library for fast approximate nearest neighbors.,2.0,,32.0,23,https://pypi.org/project/hnswlib,2020-07-13 04:50:55+00:00,2.0,10250.0,10250.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n398,MLBox,AxeldeRomblay/MLBox,mlbox,,,hyperopt,,https://github.com/AxeldeRomblay/MLBox,https://github.com/AxeldeRomblay/MLBox,BSD-1-Clause,2017-06-01 16:59:24+00:00,2020-11-24 17:57:08+00:00,2020-08-25 09:26:27+00:00,238.0,10.0,71.0,1159.0,1121.0,2020-08-25 09:32:37+00:00,0.8.5,21.0,MLBox is a powerful Automated Machine Learning python library.,18.0,18.0,9.0,23,https://pypi.org/project/mlbox,2020-08-25 09:32:37+00:00,,7249.0,7249.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n399,metric-learn,scikit-learn-contrib/metric-learn,metric-learn,,,others,['sklearn'],https://github.com/scikit-learn-contrib/metric-learn,https://github.com/scikit-learn-contrib/metric-learn,MIT,2013-11-02 08:29:47+00:00,2020-08-04 01:35:49+00:00,2020-08-04 01:35:39+00:00,204.0,47.0,109.0,1083.0,263.0,2020-07-02 12:55:51+00:00,0.6.2,10.0,Metric learning algorithms in Python.,122.0,113.0,19.0,23,https://pypi.org/project/metric-learn,2020-07-02 12:59:23+00:00,9.0,14488.0,14488.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n400,garage,rlworkgroup/garage,garage,,,reinforcement-learning,['tensorflow'],https://github.com/rlworkgroup/garage,https://github.com/rlworkgroup/garage,MIT,2018-06-10 21:31:23+00:00,2020-12-18 09:04:33+00:00,2020-12-17 20:21:38+00:00,181.0,182.0,763.0,989.0,1184.0,2020-09-17 07:34:11+00:00,2020.6.3,21.0,A toolkit for reproducible reinforcement learning research.,13.0,13.0,73.0,23,https://pypi.org/project/garage,2020-10-02 17:16:03+00:00,,316.0,316.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n401,modAL,modAL-python/modAL,modAL,,,others,['sklearn'],https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15+00:00,2020-12-09 16:01:00+00:00,2020-11-01 08:39:01+00:00,162.0,41.0,48.0,971.0,643.0,2020-08-21 06:19:25+00:00,0.4.0,11.0,A modular active learning framework for Python.,45.0,41.0,13.0,23,https://pypi.org/project/modAL,2020-11-01 08:48:50+00:00,4.0,2981.0,2981.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n402,tensorly,tensorly/tensorly,tensorly,,,others,,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52+00:00,2020-12-17 21:17:37+00:00,2020-12-17 18:52:32+00:00,186.0,24.0,90.0,917.0,821.0,2020-12-07 20:30:41+00:00,0.5.1,16.0,TensorLy: Tensor Learning in Python.,20.0,,37.0,23,https://pypi.org/project/tensorly,2020-12-07 20:30:41+00:00,20.0,3292.0,3292.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n403,ChainerRL,chainer/chainerrl,chainerrl,,,reinforcement-learning,,https://github.com/chainer/chainerrl,https://github.com/chainer/chainerrl,MIT,2017-01-30 04:58:15+00:00,2020-12-09 06:26:53+00:00,2020-12-09 06:26:52+00:00,205.0,75.0,146.0,916.0,3458.0,2020-02-14 05:35:56+00:00,0.8.0,10.0,ChainerRL is a deep reinforcement learning library built on top of Chainer.,101.0,87.0,29.0,23,https://pypi.org/project/chainerrl,2020-02-14 05:35:56+00:00,14.0,921.0,921.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n404,keract,philipperemy/keract,keract,,,interpretability,['keras'],https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57+00:00,2020-11-12 02:21:05+00:00,2020-11-12 02:21:04+00:00,172.0,4.0,70.0,837.0,324.0,2020-09-09 02:29:02+00:00,4.3.3,35.0,Activation Maps (Layers Outputs) and Gradients in Keras.,66.0,61.0,15.0,23,https://pypi.org/project/keract,2020-11-06 08:09:00+00:00,5.0,1371.0,1371.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n405,PySwarms,ljvmiranda921/pyswarms,pyswarms,,,others,,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45+00:00,2020-12-11 15:00:13+00:00,2020-11-17 09:42:41+00:00,228.0,13.0,151.0,692.0,403.0,2020-11-14 05:18:38+00:00,.1.2.0,19.0,A research toolkit for particle swarm optimization in Python.,83.0,83.0,42.0,23,https://pypi.org/project/pyswarms,2020-11-14 05:17:27+00:00,,6773.0,6773.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n406,Satpy,pytroll/satpy,satpy,,,geospatial-data,,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43+00:00,2020-12-18 10:49:44+00:00,2020-12-17 14:14:23+00:00,190.0,303.0,280.0,654.0,8091.0,2020-11-16 09:48:15+00:00,0.24.0,61.0,Python package for earth-observing satellite data processing.,43.0,37.0,102.0,23,https://pypi.org/project/satpy,2020-11-16 09:48:15+00:00,6.0,697.0,697.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n407,GPUtil,anderskm/gputil,gputil,,,system-monitoring,,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43+00:00,2020-10-01 05:42:49+00:00,2019-08-16 09:00:15+00:00,76.0,10.0,14.0,652.0,140.0,2018-12-18 09:12:13+00:00,1.4.0,8.0,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,998.0,896.0,13.0,23,https://pypi.org/project/gputil,2018-12-18 09:12:13+00:00,102.0,49959.0,49959.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n408,Singer,singer-io/getting-started,singer-python,,,data-loading,,https://github.com/singer-io/getting-started,https://github.com/singer-io/getting-started,AGPL-3.0,2016-10-31 16:53:56+00:00,2020-12-04 20:57:23+00:00,2020-12-04 20:57:19+00:00,88.0,20.0,16.0,648.0,173.0,2019-11-04 21:43:38+00:00,5.9.1,100.0,\"Standard for moving data between databases, web APIs, files, queues, and just about anything else you can think of.\",300.0,,26.0,23,https://pypi.org/project/singer-python,2020-10-27 17:49:47+00:00,300.0,56015.0,56015.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n409,scikit-multilearn,scikit-multilearn/scikit-multilearn,scikit-multilearn,,,others,['sklearn'],https://github.com/scikit-multilearn/scikit-multilearn,https://github.com/scikit-multilearn/scikit-multilearn,BSD-2-Clause,2014-04-30 13:05:44+00:00,2020-06-30 10:19:46+00:00,2019-05-21 11:29:06+00:00,117.0,64.0,91.0,612.0,487.0,2018-12-10 16:24:47+00:00,0.2.0,6.0,A scikit-learn based module for multi-label et. al. classification.,306.0,303.0,15.0,23,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47+00:00,3.0,64478.0,64478.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n410,GeoViews,holoviz/geoviews,geoviews,conda-forge/geoviews,,geospatial-data,,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01+00:00,2020-11-13 20:59:34+00:00,2020-09-21 16:31:16+00:00,59.0,77.0,169.0,319.0,635.0,2020-09-23 18:59:07+00:00,1.8.0,21.0,\"Simple, concise geographical visualization in Python.\",184.0,174.0,21.0,23,https://pypi.org/project/geoviews,2020-03-30 19:17:21+00:00,10.0,1676.0,1676.0,https://anaconda.org/conda-forge/geoviews,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n411,pyhdb,SAP/pyhdb,pyhdb,,,db-clients,,https://github.com/SAP/PyHDB,https://github.com/SAP/PyHDB,Apache-2.0,2014-12-12 04:02:40+00:00,2020-10-20 15:21:20+00:00,2018-05-24 13:45:41+00:00,132.0,50.0,51.0,286.0,155.0,2018-02-16 12:44:36+00:00,0.3.4,8.0,SAP HANA Connector in pure Python.,130.0,100.0,10.0,23,https://pypi.org/project/pyhdb,2018-02-16 12:37:13+00:00,30.0,68015.0,68015.0,,,,False,3,57.0,,,,,,,,,,,,,,,,,,,,,,,\n412,pySBD,nipunsadvilkar/pySBD,pysbd,,,nlp,,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20+00:00,2020-12-01 05:37:27+00:00,2020-12-01 05:37:25+00:00,25.0,4.0,43.0,243.0,274.0,2020-10-08 11:41:09+00:00,0.3.3,14.0,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,91.0,89.0,6.0,23,https://pypi.org/project/pysbd,2020-10-08 11:33:56+00:00,2.0,15044.0,15044.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n413,TensorFlow Cloud,tensorflow/cloud,tensorflow-cloud,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59+00:00,2020-12-18 05:21:05+00:00,2020-12-04 18:40:10+00:00,41.0,41.0,25.0,210.0,486.0,2020-12-03 20:05:29+00:00,0.1.10,13.0,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,7.0,7.0,15.0,23,https://pypi.org/project/tensorflow-cloud,2020-12-03 20:05:29+00:00,,675837.0,675837.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n414,Orion,Epistimio/orion,orion,,,hyperopt,,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21+00:00,2020-12-10 01:11:18+00:00,2020-12-04 21:01:34+00:00,35.0,18.0,92.0,179.0,2421.0,2020-12-04 17:08:50+00:00,0.1.11,12.0,Asynchronous Distributed Hyperparameter Optimization.,47.0,39.0,18.0,23,https://pypi.org/project/orion,2020-12-04 17:08:50+00:00,8.0,1108.0,1108.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n415,pyexcel-xlsx,pyexcel/pyexcel-xlsx,pyexcel-xlsx,conda-forge/pyexcel-xlsx,,data-loading,,https://github.com/pyexcel/pyexcel-xlsx,https://github.com/pyexcel/pyexcel-xlsx,BSD-3-Clause,2014-12-02 00:03:24+00:00,2020-11-28 22:30:58+00:00,2020-11-28 22:30:53+00:00,16.0,12.0,20.0,83.0,267.0,2020-10-10 13:13:09+00:00,0.6.0,30.0,\"A wrapper library to read, manipulate and write data in xlsx and xlsm format using openpyxl.\",1345.0,1035.0,4.0,23,https://pypi.org/project/pyexcel-xlsx,2019-12-28 20:09:57+00:00,310.0,42830.0,42830.0,https://anaconda.org/conda-forge/pyexcel-xlsx,,,False,3,46.0,,,,,,,,,,,,,,,,,,,,,,,\n416,PaddleOCR,PaddlePaddle/PaddleOCR,paddleocr,,,ocr,['paddle'],https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16+00:00,2020-12-18 09:49:11+00:00,2020-12-18 09:49:10+00:00,1489.0,235.0,720.0,7653.0,,2020-12-16 03:00:04+00:00,2.0.2,10.0,\"Awesome multilingual OCR toolkits based on PaddlePaddle practical ultra lightweight OCR system, provide data..\",9.0,9.0,41.0,22,https://pypi.org/project/paddleocr,2020-12-18 04:01:23+00:00,0.0,1275.0,1275.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n417,Vaex,vaexio/vaex,vaex,conda-forge/vaex,,data-containers,,https://github.com/vaexio/vaex,https://github.com/vaexio/vaex,MIT,2014-09-27 09:44:42+00:00,2020-12-14 18:05:42+00:00,2020-12-09 10:57:28+00:00,419.0,266.0,379.0,5486.0,2898.0,2020-05-25 21:35:34+00:00,3.0.0,41.0,\"Out-of-Core DataFrames for Python, ML, visualize and explore big tabular data at a billion rows per second.\",2.0,,35.0,22,https://pypi.org/project/vaex,2020-12-08 16:25:15+00:00,2.0,4845.0,4847.0,https://anaconda.org/conda-forge/vaex,,,True,3,199.0,,,,,,,,,,,,,,,,,,,,,,,\n418,Face Alignment,1adrianb/face-alignment,face-alignment,,,image,['pytorch'],https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44+00:00,2020-12-17 23:41:58+00:00,2020-12-17 23:41:57+00:00,991.0,30.0,186.0,4546.0,169.0,2020-12-16 14:23:59+00:00,1.2.0,6.0,2D and 3D Face alignment library build using pytorch.,6.0,,20.0,22,https://pypi.org/project/face-alignment,2020-12-16 14:23:59+00:00,6.0,5095.0,5095.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n419,Snips NLU,snipsco/snips-nlu,snips-nlu,,,nlp,,https://github.com/snipsco/snips-nlu,https://github.com/snipsco/snips-nlu,Apache-2.0,2017-02-08 16:16:36+00:00,2020-02-08 21:49:33+00:00,2020-02-08 21:49:32+00:00,451.0,50.0,196.0,3413.0,2153.0,2020-01-15 10:13:17+00:00,0.20.2,58.0,Snips Python library to extract meaning from text.,8.0,,21.0,22,https://pypi.org/project/snips-nlu,2020-01-15 10:13:17+00:00,8.0,1841.0,1841.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n420,Image Deduplicator,idealo/imagededup,imagededup,,,image,['tensorflow'],https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54+00:00,2020-12-15 16:08:20+00:00,2020-11-23 17:40:40+00:00,266.0,14.0,50.0,3286.0,460.0,2020-11-23 17:55:24+00:00,0.2.4,9.0,Finding duplicate images made easy!.,9.0,8.0,9.0,22,https://pypi.org/project/imagededup,2020-11-22 21:09:36+00:00,1.0,2444.0,2444.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n421,ArrayFire,arrayfire/arrayfire,arrayfire,,,gpu-utilities,,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33+00:00,2020-12-18 09:40:59+00:00,2020-12-02 16:58:49+00:00,450.0,254.0,1192.0,3248.0,5663.0,2020-11-23 16:37:49+00:00,3.7.3,29.0,ArrayFire: a general purpose GPU library.,2.0,,80.0,22,https://pypi.org/project/arrayfire,2018-10-18 14:13:29+00:00,2.0,595.0,602.0,,,,True,2,464.0,,,,,,,,,,,,,,,,,,,,,,,\n422,AdaNet,tensorflow/adanet,adanet,,,hyperopt,['tensorflow'],https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24+00:00,2020-07-09 21:03:28+00:00,2020-07-09 20:51:04+00:00,490.0,63.0,47.0,3216.0,439.0,2020-07-09 20:53:28+00:00,0.9.0,13.0,Fast and flexible AutoML with learning guarantees.,34.0,32.0,26.0,22,https://pypi.org/project/adanet,2020-07-09 21:03:28+00:00,2.0,870.0,870.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n423,PyAlgoTrade,gbeced/pyalgotrade,pyalgotrade,,,financial-data,,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54+00:00,2020-09-16 00:41:56+00:00,2018-08-21 02:42:52+00:00,1139.0,38.0,81.0,3079.0,1156.0,,,8.0,Python Algorithmic Trading Library.,86.0,65.0,11.0,22,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25+00:00,21.0,497.0,497.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n424,Scalene,emeryberger/scalene,scalene,,,system-monitoring,,https://github.com/emeryberger/scalene,https://github.com/emeryberger/scalene,Apache-2.0,2019-12-17 20:56:28+00:00,2020-12-10 01:29:13+00:00,2020-12-10 01:29:09+00:00,103.0,18.0,50.0,2868.0,770.0,2020-12-09 19:58:56+00:00,1.1.12,85.0,\"Scalene: a high-performance, high-precision CPU and memory profiler for Python.\",18.0,18.0,15.0,22,https://pypi.org/project/scalene,2020-12-09 23:42:11+00:00,0.0,1787.0,1787.0,,,,True,3,,,,,,,,,,,,,,,,,,py-spy,,,,,,\n425,aubio,aubio/aubio,,,,audio,,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44+00:00,2020-12-07 11:14:34+00:00,2020-07-02 17:03:56+00:00,290.0,102.0,171.0,1985.0,4109.0,2019-02-27 09:00:43+00:00,0.4.9,8.0,a library for audio and music analysis.,195.0,195.0,24.0,22,,,,,,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n426,Mars,mars-project/mars,pymars,,,others,,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03+00:00,2020-12-18 07:55:28+00:00,2020-12-18 04:39:42+00:00,236.0,102.0,607.0,1959.0,657.0,2020-12-05 08:43:25+00:00,0.6.0,65.0,\"Mars is a tensor-based unified framework for large-scale data computation which scales Numpy, Pandas and Scikit-learn.\",3.0,3.0,15.0,22,https://pypi.org/project/pymars,2020-12-05 09:40:46+00:00,,2487.0,2487.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n427,Enigma Catalyst,enigmampc/catalyst,enigma-catalyst,,,financial-data,,https://github.com/enigmampc/catalyst,https://github.com/enigmampc/catalyst,Apache-2.0,2017-06-13 22:31:34+00:00,2020-03-12 17:32:54+00:00,2018-11-11 19:19:00+00:00,563.0,131.0,363.0,1891.0,6360.0,2018-09-13 15:09:58+00:00,0.5.21,52.0,An Algorithmic Trading Library for Crypto-Assets in Python.,20.0,20.0,143.0,22,https://pypi.org/project/enigma-catalyst,2018-11-11 16:46:28+00:00,,314.0,314.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n428,PandasGUI,adamerose/pandasgui,pandasgui,,,data-viz,['pandas'],https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT,2019-06-12 02:19:42+00:00,2020-12-05 10:18:01+00:00,2020-12-05 10:17:52+00:00,103.0,10.0,50.0,1865.0,403.0,2020-11-10 17:30:20+00:00,0.2.7,37.0,A GUI for Pandas DataFrames.,25.0,24.0,6.0,22,https://pypi.org/project/pandasgui,2020-11-10 17:30:20+00:00,1.0,2398.0,2398.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n429,PyFlux,RJT1990/pyflux,pyflux,,,time-series-data,,https://github.com/RJT1990/pyflux,https://github.com/RJT1990/pyflux,BSD-3-Clause,2016-02-16 20:12:02+00:00,2019-03-19 10:45:02+00:00,2018-12-16 15:30:13+00:00,205.0,79.0,65.0,1833.0,118.0,2017-11-21 16:27:06+00:00,0.4.16,35.0,Open source time series library for Python.,179.0,164.0,6.0,22,https://pypi.org/project/pyflux,2017-11-21 16:27:06+00:00,15.0,12115.0,12115.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n430,MONAI,Project-MONAI/MONAI,monai,,,medical-data,['pytorch'],https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38+00:00,2020-12-18 10:51:47+00:00,2020-12-17 23:26:40+00:00,285.0,82.0,557.0,1602.0,694.0,2020-12-15 15:21:13+00:00,0.4.0,15.0,AI Toolkit for Healthcare Imaging.,,,48.0,22,https://pypi.org/project/monai,2020-12-15 15:16:56+00:00,,4167.0,4167.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n431,STUMPY,TDAmeritrade/stumpy,stumpy,conda-forge/stumpy,,time-series-data,,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44+00:00,2020-12-18 04:29:29+00:00,2020-12-18 04:29:14+00:00,150.0,29.0,167.0,1601.0,757.0,2020-12-10 18:23:49+00:00,1.6.0,14.0,\"STUMPY is a powerful and scalable Python library for computing a Matrix Profile, which can be used for a variety of..\",,,20.0,22,https://pypi.org/project/stumpy,2020-12-10 18:23:49+00:00,,10930.0,10930.0,https://anaconda.org/conda-forge/stumpy,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n432,scattertext,JasonKessler/scattertext,scattertext,,,nlp,,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12+00:00,2020-12-18 09:53:19+00:00,2020-12-18 09:53:12+00:00,196.0,16.0,50.0,1463.0,335.0,2017-03-13 05:31:21+00:00,0.0.2.4.4,127.0,Beautiful visualizations of how language differs among document types.,142.0,134.0,10.0,22,https://pypi.org/project/scattertext,2020-12-14 02:45:48+00:00,8.0,3075.0,3075.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n433,fast-bert,kaushaltrivedi/fast-bert,fast-bert,,,nlp,,https://github.com/kaushaltrivedi/fast-bert,https://github.com/kaushaltrivedi/fast-bert,Apache-2.0,2019-04-18 22:01:20+00:00,2020-12-17 21:05:51+00:00,2020-12-17 21:05:43+00:00,302.0,137.0,90.0,1461.0,262.0,2020-12-09 21:27:58+00:00,1.9.5,40.0,Super easy library for BERT based NLP models.,2.0,,34.0,22,https://pypi.org/project/fast-bert,2020-12-09 21:27:58+00:00,2.0,2090.0,2090.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n434,sklearn-contrib-lightning,scikit-learn-contrib/lightning,sklearn-contrib-lightning,,,others,['sklearn'],https://github.com/scikit-learn-contrib/lightning,https://github.com/scikit-learn-contrib/lightning,BSD-3-Clause,2012-01-11 13:53:52+00:00,2020-12-16 17:27:43+00:00,2020-12-16 17:27:30+00:00,187.0,48.0,35.0,1403.0,697.0,2017-11-04 18:03:11+00:00,0.5.0,7.0,\"Large-scale linear classification, regression and ranking in Python.\",72.0,67.0,15.0,22,https://pypi.org/project/sklearn-contrib-lightning,2020-12-16 17:25:20+00:00,5.0,231.0,231.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n435,anaGo,Hironsan/anago,anago,,,nlp,['keras'],https://github.com/Hironsan/anago,https://github.com/Hironsan/anago,MIT,2017-06-26 21:28:36+00:00,2020-11-13 17:31:18+00:00,2019-10-23 03:19:52+00:00,346.0,36.0,71.0,1370.0,296.0,2018-06-03 13:51:56+00:00,1.0.0,14.0,\"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.\",24.0,24.0,11.0,22,https://pypi.org/project/anago,2018-07-17 01:59:21+00:00,,1698.0,1698.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n436,NiftyNet,NifTK/NiftyNet,niftynet,,,medical-data,['tensorflow'],https://github.com/NifTK/NiftyNet,https://github.com/NifTK/NiftyNet,Apache-2.0,2017-08-30 07:55:43+00:00,2020-04-21 19:54:52+00:00,2020-04-21 19:54:51+00:00,373.0,99.0,224.0,1256.0,2848.0,2019-10-09 19:33:30+00:00,0.6.0,11.0,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,33.0,33.0,58.0,22,https://pypi.org/project/niftynet,2019-10-10 10:59:33+00:00,,297.0,297.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n437,EfficientNets,rwightman/gen-efficientnet-pytorch,geffnet,,,pytorch-utils,['pytorch'],https://github.com/rwightman/gen-efficientnet-pytorch,https://github.com/rwightman/gen-efficientnet-pytorch,Apache-2.0,2019-05-11 19:35:56+00:00,2020-11-30 05:51:08+00:00,2020-11-30 05:49:27+00:00,162.0,,46.0,1209.0,106.0,2020-08-20 19:55:21+00:00,1.0.0,9.0,\"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.\",25.0,25.0,5.0,22,https://pypi.org/project/geffnet,2020-08-20 19:55:21+00:00,,1235.0,1235.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n438,pandasql,yhat/pandasql,pandasql,,,data-containers,['pandas'],https://github.com/yhat/pandasql,https://github.com/yhat/pandasql,MIT,2013-02-18 01:53:56+00:00,2020-08-14 13:00:13+00:00,2017-02-01 15:40:30+00:00,141.0,44.0,23.0,923.0,127.0,2016-04-20 21:52:36+00:00,0.7.3,31.0,sqldf for pandas.,634.0,585.0,15.0,22,https://pypi.org/project/pandasql,2016-04-20 21:52:36+00:00,49.0,209937.0,209937.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n439,bt,pmorissette/bt,bt,,,financial-data,,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28+00:00,2020-12-18 00:48:18+00:00,2020-12-18 00:48:17+00:00,243.0,53.0,158.0,903.0,370.0,2018-05-28 17:12:46+00:00,0.2.7,23.0,bt - flexible backtesting for Python.,59.0,39.0,20.0,22,https://pypi.org/project/bt,2018-05-28 17:12:46+00:00,20.0,3551.0,3551.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n440,luminol,linkedin/luminol,luminol,,,time-series-data,,https://github.com/linkedin/luminol,https://github.com/linkedin/luminol,Apache-2.0,2015-11-18 23:16:33+00:00,2019-10-23 13:20:58+00:00,2018-01-09 07:46:55+00:00,174.0,24.0,12.0,857.0,69.0,2016-01-20 01:01:44+00:00,0.3.1,5.0,Anomaly Detection and Correlation library.,49.0,37.0,8.0,22,https://pypi.org/project/luminol,2017-12-11 06:04:15+00:00,12.0,133746.0,133746.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n441,spacy-transformers,explosion/spacy-transformers,spacy-transformers,,,nlp,['spacy'],https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34+00:00,2020-12-18 09:05:48+00:00,2020-12-17 14:45:54+00:00,97.0,48.0,131.0,855.0,1235.0,2020-06-29 12:10:14+00:00,0.6.2,33.0,\"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.\",67.0,64.0,14.0,22,https://pypi.org/project/spacy-transformers,2020-10-14 12:35:57+00:00,3.0,7840.0,7840.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n442,attention-ocr,emedvedev/attention-ocr,aocr,,,ocr,['tensorflow'],https://github.com/emedvedev/attention-ocr,https://github.com/emedvedev/attention-ocr,MIT,2017-07-21 18:35:19+00:00,2020-10-31 19:40:20+00:00,2020-10-31 19:40:19+00:00,225.0,16.0,125.0,822.0,196.0,2020-10-12 06:56:40+00:00,0.7.6,21.0,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,15.0,15.0,27.0,22,https://pypi.org/project/aocr,2019-04-19 05:28:27+00:00,,221.0,221.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n443,Alibi,SeldonIO/alibi,alibi,,,interpretability,,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Apache-2.0,2019-02-26 10:10:56+00:00,2020-12-03 14:50:46+00:00,2020-12-02 15:42:16+00:00,95.0,62.0,72.0,800.0,226.0,2020-10-20 14:14:29+00:00,0.5.5,15.0,Algorithms for monitoring and explaining machine learning models.,60.0,51.0,11.0,22,https://pypi.org/project/alibi,2020-10-20 14:13:40+00:00,9.0,3713.0,3713.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n444,Neural Structured Learning,tensorflow/neural-structured-learning,neural-structured-learning,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/neural-structured-learning,https://github.com/tensorflow/neural-structured-learning,Apache-2.0,2019-08-27 21:48:16+00:00,2020-12-14 18:50:22+00:00,2020-12-14 18:50:13+00:00,135.0,5.0,38.0,756.0,344.0,2020-08-18 00:30:03+00:00,1.3.1,7.0,Training neural models with structured signals.,15.0,15.0,25.0,22,https://pypi.org/project/neural-structured-learning,2020-08-18 00:35:35+00:00,,2667.0,2667.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n445,FinTA,peerchemist/finta,finta,,,financial-data,,https://github.com/peerchemist/finta,https://github.com/peerchemist/finta,LGPL-3.0,2016-09-01 21:02:46+00:00,2020-12-17 13:15:00+00:00,2020-11-04 21:30:11+00:00,276.0,7.0,58.0,743.0,364.0,2020-10-21 11:36:19+00:00,1.2,19.0,Common financial technical indicators implemented in Pandas.,53.0,51.0,21.0,22,https://pypi.org/project/finta,2020-10-21 11:39:44+00:00,2.0,2804.0,2804.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n446,Explainability 360,Trusted-AI/AIX360,aix360,,,interpretability,,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48+00:00,2020-12-04 16:51:14+00:00,2020-12-04 16:49:39+00:00,160.0,26.0,18.0,736.0,305.0,2020-10-28 09:32:21+00:00,0.2.1,4.0,Interpretability and explainability of data and machine learning models.,13.0,12.0,27.0,22,https://pypi.org/project/aix360,2020-10-28 09:18:17+00:00,1.0,697.0,697.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n447,openTSNE,pavlin-policar/openTSNE,opentsne,conda-forge/opentsne,,data-viz,,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09+00:00,2020-11-27 13:41:37+00:00,2020-11-27 13:40:26+00:00,78.0,3.0,68.0,725.0,496.0,2020-05-08 13:03:50+00:00,0.4.4,17.0,\"Extensible, parallel implementations of t-SNE.\",160.0,156.0,10.0,22,https://pypi.org/project/opentsne,2020-08-04 06:43:16+00:00,4.0,12205.0,12205.0,https://anaconda.org/conda-forge/opentsne,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n448,TreeInterpreter,andosa/treeinterpreter,treeinterpreter,,,interpretability,['sklearn'],https://github.com/andosa/treeinterpreter,https://github.com/andosa/treeinterpreter,BSD-3-Clause,2015-08-02 20:26:21+00:00,2020-10-03 02:17:19+00:00,2020-06-22 18:40:46+00:00,127.0,18.0,1.0,629.0,34.0,2018-12-16 14:02:34+00:00,0.2.2,4.0,Package for interpreting scikit-learn's decision tree and random forest predictions.,112.0,108.0,10.0,22,https://pypi.org/project/treeinterpreter,2018-12-16 14:02:34+00:00,4.0,76568.0,76568.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n449,Node2Vec,eliorc/node2vec,node2vec,,,graph,,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06+00:00,2020-11-28 08:59:52+00:00,2020-11-28 08:54:36+00:00,159.0,1.0,46.0,597.0,44.0,2020-11-28 08:59:52+00:00,0.4.0,12.0,Implementation of the node2vec algorithm.,107.0,102.0,6.0,22,https://pypi.org/project/node2vec,2020-11-28 08:57:22+00:00,5.0,7655.0,7655.0,,,,True,2,,,,,,,,,,,,,,-1.0,,,,,,,,,,\n450,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,pandas-bokeh,,,data-viz,['pandas'],https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14+00:00,2020-11-27 08:30:55+00:00,2020-11-27 08:28:43+00:00,74.0,20.0,51.0,587.0,259.0,2020-11-27 08:29:09+00:00,0.5.2,13.0,Bokeh Plotting Backend for Pandas and GeoPandas.,125.0,115.0,11.0,22,https://pypi.org/project/pandas-bokeh,2020-11-27 08:30:55+00:00,10.0,8059.0,8059.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n451,Prince,MaxHalford/prince,prince,,,others,['sklearn'],https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06+00:00,2020-10-06 11:48:49+00:00,2020-10-06 11:26:04+00:00,108.0,24.0,64.0,539.0,178.0,2020-10-06 11:26:47+00:00,0.7.1,41.0,\"Python factor analysis library (PCA, CA, MCA, MFA, FAMD).\",98.0,95.0,9.0,22,https://pypi.org/project/prince,2020-10-06 11:26:47+00:00,3.0,6167.0,6167.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n452,Sentinelsat,sentinelsat/sentinelsat,sentinelsat,,,geospatial-data,,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26+00:00,2020-11-10 08:08:10+00:00,2020-11-10 08:08:09+00:00,162.0,29.0,204.0,525.0,769.0,2020-06-12 07:15:51+00:00,0.14,36.0,Search and download Copernicus Sentinel satellite images.,176.0,154.0,33.0,22,https://pypi.org/project/sentinelsat,2020-06-12 07:08:37+00:00,22.0,8861.0,8864.0,,,,False,3,186.0,,,,,,,,,,,,,,,,,,,,,,,\n453,Guild AI,guildai/guildai,guildai,,,ml-experiments,,https://github.com/guildai/guildai,https://github.com/guildai/guildai,Apache-2.0,2017-09-27 18:57:50+00:00,2020-12-17 22:58:35+00:00,2020-12-16 16:04:43+00:00,44.0,93.0,143.0,514.0,4169.0,2020-12-05 17:36:38+00:00,0.7.1,156.0,\"Experiment tracking, ML developer tools.\",25.0,25.0,16.0,22,https://pypi.org/project/guildai,2020-12-17 00:49:11+00:00,,5075.0,5075.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n454,vega,vega/ipyvega,vega,conda-forge/vega,,data-viz,['jupyter'],https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47+00:00,2020-12-14 16:46:32+00:00,2020-12-14 16:46:29+00:00,46.0,8.0,79.0,290.0,461.0,2020-05-15 23:40:02+00:00,3.4.0,37.0,IPython/Jupyter notebook module for Vega and Vega-Lite.,148.0,,9.0,22,https://pypi.org/project/vega,2020-05-15 23:40:02+00:00,148.0,10011.0,10011.0,https://anaconda.org/conda-forge/vega,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n455,SDV,sdv-dev/SDV,sdv,,,data-loading,,https://github.com/sdv-dev/SDV,https://github.com/sdv-dev/SDV,MIT,2018-05-11 15:56:50+00:00,2020-12-18 10:17:09+00:00,2020-12-18 10:17:05+00:00,48.0,36.0,124.0,283.0,733.0,2020-11-25 21:16:43+00:00,0.5.0,31.0,\"Synthetic Data Generation for tabular, relational and time series data.\",12.0,12.0,32.0,22,https://pypi.org/project/sdv,2020-11-25 21:16:03+00:00,,1487.0,1487.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n456,pysparkling,svenkreiss/pysparkling,pysparkling,,,data-pipelines,,https://github.com/svenkreiss/pysparkling,https://github.com/svenkreiss/pysparkling,MIT,2015-05-09 19:23:20+00:00,2020-11-02 11:37:56+00:00,2020-11-02 11:37:55+00:00,43.0,2.0,20.0,233.0,1506.0,2019-07-13 07:23:04+00:00,0.6.0,67.0,A pure Python implementation of Apache Spark's RDD and DStream interfaces.,60.0,53.0,9.0,22,https://pypi.org/project/pysparkling,2019-07-13 07:23:04+00:00,7.0,7367.0,7367.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n457,EarthPy,earthlab/earthpy,earthpy,conda-forge/earthpy,,geospatial-data,,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42+00:00,2020-12-17 17:48:37+00:00,2020-12-03 23:03:15+00:00,90.0,22.0,199.0,209.0,1066.0,2020-06-18 23:58:08+00:00,0.9.2,22.0,A package built to support working with spatial data using open source python.,73.0,70.0,38.0,22,https://pypi.org/project/earthpy,2020-06-18 23:58:08+00:00,3.0,2125.0,2125.0,https://anaconda.org/conda-forge/earthpy,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n458,py3nvml,fbcotter/py3nvml,py3nvml,,,gpu-utilities,,https://github.com/fbcotter/py3nvml,https://github.com/fbcotter/py3nvml,BSD-3-Clause,2016-11-21 01:07:37+00:00,2020-04-23 06:54:43+00:00,2020-04-23 06:54:42+00:00,24.0,2.0,8.0,160.0,79.0,2020-04-06 16:02:10+00:00,0.2.6,13.0,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,230.0,210.0,6.0,22,https://pypi.org/project/py3nvml,2020-04-06 16:02:10+00:00,20.0,74234.0,74234.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n459,Recommenders,microsoft/recommenders,,,,recommender-systems,,https://github.com/microsoft/recommenders,https://github.com/microsoft/recommenders,MIT,2018-09-19 10:06:07+00:00,2020-12-17 14:22:20+00:00,2020-11-27 17:04:52+00:00,1475.0,100.0,425.0,8831.0,6206.0,2020-08-20 15:11:46+00:00,2020.8,6.0,Best Practices on Recommendation Systems.,1.0,1.0,86.0,21,,,,,,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n460,Dejavu,worldveil/dejavu,PyDejavu,,,audio,,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35+00:00,2020-10-29 17:40:17+00:00,2020-06-03 05:58:03+00:00,1236.0,83.0,129.0,5254.0,146.0,2015-04-19 21:20:16+00:00,0.1.3,4.0,Audio fingerprinting and recognition in Python.,17.0,16.0,23.0,21,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16+00:00,1.0,142.0,142.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n461,mace,XiaoMi/mace,,,,ml-frameworks,,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12+00:00,2020-11-04 12:39:59+00:00,2020-11-04 11:55:55+00:00,740.0,37.0,575.0,4237.0,3059.0,2020-11-04 12:43:00+00:00,1.0.0,7.0,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,,,54.0,21,,,,,45.0,,,,True,3,1272.0,,,,,,,,,,,,,,,,,,,,,,,\n462,MMF,facebookresearch/mmf,mmf,,,image,['pytorch'],https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40+00:00,2020-12-17 23:47:00+00:00,2020-12-10 13:55:36+00:00,585.0,88.0,313.0,3998.0,753.0,2019-08-26 19:04:21+00:00,0.3.1,11.0,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,6.0,6.0,50.0,21,https://pypi.org/project/mmf,2020-06-11 16:09:52+00:00,,311.0,311.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n463,MatchZoo,NTMC-Community/MatchZoo,matchzoo,,,nlp,['keras'],https://github.com/NTMC-Community/MatchZoo,https://github.com/NTMC-Community/MatchZoo,Apache-2.0,2017-06-08 08:55:22+00:00,2020-06-17 07:27:59+00:00,2019-10-24 13:10:07+00:00,858.0,24.0,427.0,3294.0,1808.0,2019-10-24 13:09:11+00:00,2.2.0,5.0,\"Facilitating the design, comparison and sharing of deep text matching models.\",9.0,9.0,35.0,21,https://pypi.org/project/matchzoo,2019-10-24 13:09:11+00:00,,303.0,303.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n464,TensorWatch,microsoft/tensorwatch,tensorwatch,,,ml-experiments,,https://github.com/microsoft/tensorwatch,https://github.com/microsoft/tensorwatch,MIT,2019-05-15 08:29:34+00:00,2020-09-16 04:30:12+00:00,2020-09-16 04:30:11+00:00,304.0,48.0,14.0,2986.0,108.0,2020-03-04 07:26:22+00:00,0.9.1,14.0,\"Debugging, monitoring and visualization for Python Machine Learning and Data Science.\",47.0,41.0,11.0,21,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22+00:00,6.0,1403.0,1403.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n465,NLP Architect,IntelLabs/nlp-architect,nlp-architect,,,nlp,,https://github.com/IntelLabs/nlp-architect,https://github.com/IntelLabs/nlp-architect,Apache-2.0,2018-05-17 21:00:13+00:00,2020-12-09 14:58:41+00:00,2020-11-26 15:35:15+00:00,394.0,16.0,101.0,2558.0,946.0,2020-11-17 12:32:37+00:00,0.5.5.1,13.0,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,6.0,6.0,35.0,21,https://pypi.org/project/nlp-architect,2020-04-12 11:34:38+00:00,,268.0,268.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n466,tensorflow-graphics,tensorflow/graphics,tensorflow-graphics,,,image,['tensorflow'],https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44+00:00,2020-11-13 18:50:29+00:00,2020-10-30 10:26:19+00:00,261.0,87.0,81.0,2363.0,566.0,2020-05-20 19:56:41+00:00,2020.5.20,21.0,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,3.0,,30.0,21,https://pypi.org/project/tensorflow-graphics,2020-05-20 19:56:41+00:00,3.0,918.0,918.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n467,Image Super-Resolution,idealo/image-super-resolution,ISR,,,image,['tensorflow'],https://github.com/idealo/image-super-resolution,https://github.com/idealo/image-super-resolution,Apache-2.0,2018-11-26 13:41:13+00:00,2020-11-11 15:09:20+00:00,2020-11-11 15:09:19+00:00,446.0,43.0,95.0,2336.0,138.0,2020-01-08 15:37:35+00:00,2.2.0,11.0,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,38.0,34.0,9.0,21,https://pypi.org/project/ISR,2020-01-08 15:37:35+00:00,4.0,2268.0,2272.0,,,,True,3,,,,idealo/image-super-resolution-gpu,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251+00:00,,112.0,,,,,,,,,,,,,,,,\n468,Luminoth,tryolabs/luminoth,luminoth,,,image,['tensorflow'],https://github.com/tryolabs/luminoth,https://github.com/tryolabs/luminoth,BSD-3-Clause,2017-02-16 15:07:46+00:00,2020-11-13 18:44:46+00:00,2020-01-07 20:53:25+00:00,402.0,50.0,127.0,2330.0,838.0,2018-10-31 22:19:52+00:00,0.2.3,10.0,Deep Learning toolkit for Computer Vision.,27.0,27.0,15.0,21,https://pypi.org/project/luminoth,2018-11-09 21:35:17+00:00,,586.0,877.0,,,,True,3,11072.0,,,,,,,,,,,,,,,,,,,,,,,\n469,NeMo,NVIDIA/NeMo,nemo-toolkit,,,nlp,['pytorch'],https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42+00:00,2020-12-18 08:26:14+00:00,2020-12-18 08:10:10+00:00,356.0,159.0,234.0,2256.0,,2020-07-10 00:01:18+00:00,0.11.0,36.0,NeMo: a toolkit for conversational AI.,4.0,,65.0,21,https://pypi.org/project/nemo-toolkit,2020-12-11 21:33:53+00:00,4.0,2154.0,2190.0,,,,True,3,540.0,,,,,,,,,,,,,,,,,,,,,,,\n470,Porcupine,Picovoice/Porcupine,pvporcupine,,,audio,,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25+00:00,2020-12-15 01:40:26+00:00,2020-12-15 01:40:14+00:00,323.0,7.0,257.0,2255.0,332.0,2020-12-02 15:34:40+00:00,1.9,13.0,On-device wake word detection powered by deep learning.,3.0,3.0,25.0,21,https://pypi.org/project/pvporcupine,2020-10-02 19:16:49+00:00,0.0,680.0,680.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n471,Texar,asyml/texar,texar,,,nlp,['tensorflow'],https://github.com/asyml/texar,https://github.com/asyml/texar,Apache-2.0,2017-07-22 19:02:05+00:00,2020-09-17 07:03:55+00:00,2020-07-29 00:38:30+00:00,327.0,32.0,126.0,2068.0,1719.0,2019-11-19 04:11:18+00:00,0.2.4,6.0,\"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the..\",14.0,12.0,41.0,21,https://pypi.org/project/texar,2019-11-19 04:11:18+00:00,2.0,118.0,118.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n472,Texthero,jbesomi/texthero,texthero,,,nlp,,https://github.com/jbesomi/texthero,https://github.com/jbesomi/texthero,MIT,2020-04-06 15:16:05+00:00,2020-12-09 16:49:27+00:00,2020-11-03 07:58:36+00:00,177.0,73.0,47.0,2008.0,267.0,2020-07-06 20:32:28+00:00,1.0.9,9.0,\"Text preprocessing, representation and visualization from zero to hero.\",,,18.0,21,https://pypi.org/project/texthero,2020-07-06 20:29:25+00:00,,3329.0,3336.0,,,,True,3,57.0,,,,,,,,,,,,,,,,,,,,,,,\n473,TF Ranking,tensorflow/ranking,tensorflow_ranking,,,recommender-systems,['tensorflow'],https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57+00:00,2020-08-29 04:38:20+00:00,2020-08-19 20:44:22+00:00,350.0,22.0,193.0,1983.0,213.0,2020-08-19 21:58:05+00:00,0.3.2,14.0,Learning to Rank in TensorFlow.,1.0,,17.0,21,https://pypi.org/project/tensorflow_ranking,2020-08-19 21:14:13+00:00,1.0,22119.0,22119.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n474,knockknock,huggingface/knockknock,knockknock,,,ml-experiments,,https://github.com/huggingface/knockknock,https://github.com/huggingface/knockknock,MIT,2019-03-20 13:08:55+00:00,2020-07-31 11:55:05+00:00,2020-03-16 04:26:47+00:00,152.0,12.0,21.0,1903.0,75.0,2020-03-04 04:15:47+00:00,0.1.8,10.0,Knock Knock: Get notified when your training ends with only two additional lines of code.,116.0,113.0,18.0,21,https://pypi.org/project/knockknock,2020-03-16 14:30:23+00:00,3.0,1341.0,1341.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n475,Magnitude,plasticityai/magnitude,pymagnitude,,,nn-search,,https://github.com/plasticityai/magnitude,https://github.com/plasticityai/magnitude,MIT,2018-02-24 07:28:16+00:00,2020-07-17 20:19:50+00:00,2020-07-17 20:19:46+00:00,98.0,24.0,50.0,1369.0,350.0,2020-05-25 11:26:36+00:00,0.1.143,128.0,\"A fast, efficient universal vector embedding utility package.\",179.0,165.0,4.0,21,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36+00:00,14.0,4506.0,4506.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n476,DELTA,Delta-ML/delta,delta-nlp,,,nlp,['tensorflow'],https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57+00:00,2020-12-17 16:45:44.563575+00:00,2020-12-17 06:57:15+00:00,269.0,9.0,64.0,1352.0,932.0,2020-07-16 09:31:45+00:00,0.3.3,4.0,DELTA is a deep learning based natural language and speech processing platform.,,,41.0,21,https://pypi.org/project/delta-nlp,2020-03-27 04:46:19+00:00,,39.0,647.0,,,,True,3,,,,zh794390558/delta,https://hub.docker.com/r/zh794390558/delta,2020-12-17 16:45:44.563575+00:00,,11565.0,,,,,,,,,,,,,,,,\n477,TensorFlow Privacy,tensorflow/privacy,tensorflow-privacy,,,privacy-ml,['tensorflow'],https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46+00:00,2020-12-17 21:17:46+00:00,2020-12-08 14:12:00+00:00,259.0,39.0,74.0,1284.0,398.0,2020-09-03 01:13:47+00:00,.0.5.1,9.0,Library for training machine learning models with privacy for training data.,1.0,,33.0,21,https://pypi.org/project/tensorflow-privacy,2020-09-03 01:10:15+00:00,1.0,5004.0,5006.0,,,,True,2,41.0,,,,,,,,,,,,,,,,,,,,,,,\n478,Neural Tangents,google/neural-tangents,neural-tangents,,,ml-frameworks,,https://github.com/google/neural-tangents,https://github.com/google/neural-tangents,Apache-2.0,2019-04-08 16:48:48+00:00,2020-12-16 07:58:12+00:00,2020-12-16 07:58:04+00:00,133.0,24.0,47.0,1240.0,335.0,2020-11-18 04:34:54+00:00,0.3.5,19.0,Fast and Easy Infinite Neural Networks in Python.,12.0,12.0,16.0,21,https://pypi.org/project/neural-tangents,2020-11-18 04:23:35+00:00,,650.0,660.0,,,,True,3,63.0,,,,,,,,,,,,,,,,,,,,,,,\n479,Pypeline,cgarciae/pypeln,pypeln,,,data-pipelines,,https://github.com/cgarciae/pypeln,https://github.com/cgarciae/pypeln,MIT,2018-09-01 13:43:31+00:00,2020-11-14 00:02:17+00:00,2020-11-13 23:36:42+00:00,64.0,11.0,34.0,1183.0,227.0,2020-10-11 21:02:19+00:00,0.4.6,33.0,Concurrent data pipelines in Python .,5.0,,8.0,21,https://pypi.org/project/pypeln,2020-10-11 21:01:30+00:00,5.0,3549.0,3549.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n480,Torchmeta,tristandeleu/pytorch-meta,torchmeta,,,pytorch-utils,['pytorch'],https://github.com/tristandeleu/pytorch-meta,https://github.com/tristandeleu/pytorch-meta,MIT,2018-12-04 23:36:45+00:00,2020-11-25 16:45:01+00:00,2020-11-25 16:41:48+00:00,128.0,19.0,69.0,1139.0,341.0,2020-11-25 16:45:01+00:00,1.6.1,26.0,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.,22.0,22.0,10.0,21,https://pypi.org/project/torchmeta,2020-11-25 16:45:01+00:00,,696.0,696.0,,,,True,2,,,,,,,,,,,,,,-1.0,,,,,,,,,,\n481,tensorrec,jfkirk/tensorrec,tensorrec,,,recommender-systems,['tensorflow'],https://github.com/jfkirk/tensorrec,https://github.com/jfkirk/tensorrec,Apache-2.0,2017-02-28 18:51:11+00:00,2020-07-30 02:47:12+00:00,2020-02-04 21:10:25+00:00,204.0,32.0,90.0,1112.0,334.0,2019-04-02 00:53:47+00:00,0.26.2,30.0,A TensorFlow recommendation algorithm and framework in Python.,22.0,21.0,8.0,21,https://pypi.org/project/tensorrec,2019-04-02 00:53:47+00:00,1.0,1151.0,1151.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n482,TFEncrypted,tf-encrypted/tf-encrypted,tf-encrypted,,,privacy-ml,['tensorflow'],https://github.com/tf-encrypted/tf-encrypted,https://github.com/tf-encrypted/tf-encrypted,Apache-2.0,2018-03-21 18:22:13+00:00,2020-11-19 15:48:03+00:00,2020-08-19 16:56:56+00:00,133.0,161.0,230.0,802.0,595.0,2019-09-27 20:00:01+00:00,0.5.9,35.0,A Framework for Encrypted Machine Learning in TensorFlow.,52.0,44.0,28.0,21,https://pypi.org/project/tf-encrypted,2019-10-21 18:05:53+00:00,8.0,667.0,667.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n483,scikit-cuda,lebedov/scikit-cuda,scikit-cuda,,,gpu-utilities,,https://github.com/lebedov/scikit-cuda,https://github.com/lebedov/scikit-cuda,BSD-3-Clause,2010-09-27 02:02:07+00:00,2020-07-13 12:48:39+00:00,2020-07-13 12:47:46+00:00,154.0,36.0,163.0,781.0,1026.0,2019-05-27 00:29:00+00:00,0.5.3,7.0,Python interface to GPU-powered libraries.,143.0,112.0,44.0,21,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00+00:00,31.0,691.0,691.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n484,tf-explain,sicara/tf-explain,tf-explain,,,interpretability,['tensorflow'],https://github.com/sicara/tf-explain,https://github.com/sicara/tf-explain,MIT,2019-07-15 08:26:24+00:00,2020-11-03 07:30:20+00:00,2020-07-24 08:03:58+00:00,66.0,33.0,41.0,742.0,192.0,2020-02-14 09:00:00+00:00,0.2.1,6.0,Interpretability Methods for tf.keras models with Tensorflow 2.x.,56.0,55.0,11.0,21,https://pypi.org/project/tf-explain,2020-02-14 09:04:51+00:00,1.0,1112.0,1112.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n485,AstroML,astroML/astroML,astroML,,,others,['sklearn'],https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50+00:00,2020-09-09 15:52:15+00:00,2020-09-09 15:52:13+00:00,246.0,48.0,80.0,699.0,508.0,2019-10-02 06:32:58+00:00,0.4.1,10.0,\"Machine learning, statistics, and data mining for astronomy and astrophysics.\",187.0,158.0,29.0,21,https://pypi.org/project/astroML,2020-03-23 23:20:49+00:00,29.0,825.0,825.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n486,gmaps,pbugnion/gmaps,gmaps,,,geospatial-data,['jupyter'],https://github.com/pbugnion/gmaps,https://github.com/pbugnion/gmaps,BSD-3-Clause,2014-12-01 09:12:06+00:00,2020-10-13 07:09:18+00:00,2019-07-22 06:22:45+00:00,141.0,63.0,135.0,689.0,1380.0,2019-07-21 08:49:48.715000+00:00,0.9.0,93.0,Google maps for Jupyter notebooks.,38.0,1.0,16.0,21,https://pypi.org/project/gmaps,2019-07-20 07:47:04+00:00,37.0,3269.0,4864.0,,,,False,3,,,,,,,,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715000+00:00,,1595.0,,,,,,,,,,,\n487,Madmom,CPJKU/madmom,madmom,,,audio,,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06+00:00,2020-04-14 03:42:18+00:00,2019-12-19 14:46:37+00:00,115.0,43.0,176.0,686.0,1722.0,2018-11-14 14:57:41+00:00,0.16.1,11.0,Python audio and music signal processing library.,117.0,109.0,19.0,21,https://pypi.org/project/madmom,2018-11-14 14:56:22+00:00,8.0,1109.0,1109.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n488,pickleDB,patx/pickledb,pickledb,,,data-containers,,https://github.com/patx/pickledb,https://github.com/patx/pickledb,BSD-3-Clause,2011-10-28 00:04:40+00:00,2020-08-25 09:47:52+00:00,2019-11-15 03:38:30+00:00,92.0,16.0,39.0,524.0,105.0,2019-01-13 22:40:32+00:00,0.9.1,19.0,pickleDB is an open source key-value store using Python's json module.,517.0,415.0,11.0,21,https://pypi.org/project/pickledb,2019-01-13 22:40:32+00:00,102.0,16192.0,16192.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n489,Studio.ml,studioml/studio,studioml,,,ml-experiments,,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28+00:00,2020-12-17 01:37:51+00:00,2020-12-17 01:27:05+00:00,47.0,57.0,187.0,366.0,2309.0,2020-12-17 01:37:51+00:00,0.0.36,171.0,Studio: Simplify and expedite model building process.,2.0,2.0,21.0,21,https://pypi.org/project/studioml,2020-12-17 01:37:51+00:00,,1223.0,1223.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n490,Pandas Summary,mouradmourafiq/pandas-summary,pandas-summary,,,data-containers,['pandas'],https://github.com/mouradmourafiq/pandas-summary,https://github.com/mouradmourafiq/pandas-summary,MIT,2016-03-25 21:59:32+00:00,2019-08-24 21:10:25+00:00,2019-08-24 21:10:24+00:00,33.0,8.0,5.0,357.0,24.0,2016-08-30 07:54:59+00:00,0.0.41,8.0,An extension to pandas dataframes describe function.,559.0,540.0,6.0,21,https://pypi.org/project/pandas-summary,2016-08-30 07:54:59+00:00,19.0,13001.0,13001.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n491,PyNNDescent,lmcinnes/pynndescent,pynndescent,,,nn-search,,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54+00:00,2020-11-28 21:20:02+00:00,2020-11-28 21:19:56+00:00,43.0,26.0,27.0,343.0,453.0,2020-11-19 20:20:48+00:00,0.5.1,20.0,A Python nearest neighbor descent for approximate nearest neighbors.,3.0,,10.0,21,https://pypi.org/project/pynndescent,2020-11-19 20:20:48+00:00,3.0,11168.0,11168.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n492,PyTorch Sparse,rusty1s/pytorch_sparse,torch-sparse,,,pytorch-utils,['pytorch'],https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53+00:00,2020-12-01 08:48:36+00:00,2020-12-01 08:48:19+00:00,39.0,31.0,44.0,322.0,504.0,2020-11-02 10:42:59+00:00,0.6.8,21.0,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,17.0,,11.0,21,https://pypi.org/project/torch-sparse,2020-11-02 10:43:20+00:00,17.0,3871.0,3871.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n493,torch-cluster,rusty1s/pytorch_cluster,torch-cluster,,,graph,['pytorch'],https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06+00:00,2020-12-07 09:11:31+00:00,2020-12-07 09:11:30+00:00,60.0,34.0,37.0,309.0,498.0,2020-10-31 14:42:35+00:00,1.5.8,38.0,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,16.0,,17.0,21,https://pypi.org/project/torch-cluster,2020-10-31 14:42:35+00:00,16.0,2693.0,2693.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n494,NIPY,nipy/nipy,nipy,,,medical-data,,https://github.com/nipy/nipy,https://github.com/nipy/nipy,DSDP,2010-05-02 10:00:33+00:00,2020-11-24 19:22:47+00:00,2020-10-14 22:51:30+00:00,116.0,37.0,104.0,287.0,6371.0,2018-02-19 14:14:08+00:00,0.4.2,6.0,Neuroimaging in Python FMRI analysis package.,29.0,,63.0,21,https://pypi.org/project/nipy,2018-02-19 14:14:08+00:00,29.0,1205.0,1205.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n495,pymap3d,geospace-code/pymap3d,pymap3d,,,geospatial-data,,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03+00:00,2020-11-08 05:25:47+00:00,2020-11-08 05:25:44+00:00,55.0,2.0,22.0,165.0,621.0,2020-09-21 15:20:10+00:00,2.4.3,45.0,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,3.0,,8.0,21,https://pypi.org/project/pymap3d,2020-09-21 15:16:49+00:00,3.0,19056.0,19056.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n496,filedepot,amol-/depot,filedepot,,,db-clients,,https://github.com/amol-/depot,https://github.com/amol-/depot,MIT,2014-06-04 10:27:12+00:00,2020-07-27 18:27:16+00:00,2020-07-27 18:22:42+00:00,32.0,6.0,33.0,119.0,257.0,2020-07-27 18:26:46+00:00,0.8.0,23.0,Toolkit for storing files and attachments in web applications.,306.0,218.0,18.0,21,https://pypi.org/project/filedepot,2020-07-27 18:27:16+00:00,88.0,2166.0,2166.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n497,beautifulsoup4,,beautifulsoup4,,,web-scraping,,,http://www.crummy.com/software/BeautifulSoup/bs4/,MIT,,2020-10-03 15:37:19+00:00,,,,,,,2020-10-03 15:37:19+00:00,4.9.3,33.0,Screen-scraping library.,61666.0,,,21,https://pypi.org/project/beautifulsoup4,2020-10-03 15:37:19+00:00,61666.0,9085381.0,9085381.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n498,Photon,s0md3v/Photon,photon,,,web-scraping,,https://github.com/s0md3v/Photon,https://github.com/s0md3v/Photon,GPL-3.0,2018-03-30 19:38:22+00:00,2020-10-28 14:01:02+00:00,2019-12-06 14:59:47+00:00,986.0,33.0,65.0,7400.0,324.0,2019-04-05 15:15:47+00:00,1.3.0,18.0,Incredibly fast crawler designed for OSINT.,5.0,,21.0,20,https://pypi.org/project/photon,2019-01-25 01:13:36+00:00,5.0,491.0,491.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n499,Apex,NVIDIA/apex,,conda-forge/nvidia-apex,,gpu-utilities,['pytorch'],https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52+00:00,2020-12-17 17:18:44+00:00,2020-12-17 17:18:43+00:00,656.0,425.0,359.0,4861.0,828.0,,,,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,403.0,403.0,77.0,20,,,,,,https://anaconda.org/conda-forge/nvidia-apex,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n500,cuDF,rapidsai/cudf,cudf,,,gpu-utilities,,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37+00:00,2020-12-18 03:37:26+00:00,2020-12-18 03:37:25+00:00,470.0,565.0,2677.0,3544.0,,2020-12-10 17:28:54+00:00,0.17.0,5.0,cuDF - GPU DataFrame Library.,2.0,,197.0,20,https://pypi.org/project/cudf,2020-06-01 20:07:47+00:00,2.0,798.0,798.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n501,DeepMatcher,anhaidgroup/deepmatcher,deepmatcher,,,nlp,,https://github.com/anhaidgroup/deepmatcher,https://github.com/anhaidgroup/deepmatcher,BSD-3-Clause,2017-12-01 19:01:11+00:00,2020-09-27 17:25:56+00:00,2020-04-20 02:34:24+00:00,1249.0,47.0,15.0,3315.0,169.0,2019-12-30 19:49:33+00:00,0.1.1,9.0,Python package for performing Entity and Text Matching using Deep Learning.,9.0,9.0,7.0,20,https://pypi.org/project/deepmatcher,2019-12-30 19:49:33+00:00,,311.0,311.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n502,MindsDB,mindsdb/mindsdb,mindsdb,,,ml-frameworks,['pytorch'],https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,GPL-3.0,2018-08-02 17:56:45+00:00,2020-12-17 21:47:37+00:00,2020-12-11 12:36:29+00:00,402.0,36.0,455.0,3089.0,,2020-12-11 13:08:38+00:00,2.15.0,42.0,Predictive AI layer for existing databases.,3.0,,54.0,20,https://pypi.org/project/mindsdb,2019-03-19 05:07:23+00:00,3.0,1959.0,1959.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n503,AutoScraper,alirezamika/autoscraper,autoscraper,,,web-scraping,,https://github.com/alirezamika/autoscraper,https://github.com/alirezamika/autoscraper,MIT,2020-08-31 12:02:19+00:00,2020-12-15 09:03:03+00:00,2020-12-15 09:03:02+00:00,285.0,3.0,23.0,3059.0,124.0,2020-11-29 13:02:41+00:00,1.1.10,13.0,\"A Smart, Automatic, Fast and Lightweight Web Scraper for Python.\",14.0,14.0,6.0,20,https://pypi.org/project/autoscraper,2020-11-29 13:03:11+00:00,,797.0,797.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n504,TRFL,deepmind/trfl,trfl,,,reinforcement-learning,['tensorflow'],https://github.com/deepmind/trfl,https://github.com/deepmind/trfl,Apache-2.0,2018-08-08 14:44:11+00:00,2020-11-06 04:44:44+00:00,2020-04-20 13:05:56+00:00,363.0,4.0,16.0,3055.0,116.0,2020-04-20 14:11:57+00:00,1.1.0,4.0,TensorFlow Reinforcement Learning.,37.0,35.0,12.0,20,https://pypi.org/project/trfl,2020-04-20 14:11:57+00:00,2.0,801.0,801.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n505,Profiling,what-studio/profiling,profiling,,,system-monitoring,,https://github.com/what-studio/profiling,https://github.com/what-studio/profiling,BSD-3-Clause,2014-09-03 10:35:57+00:00,2020-08-24 01:31:58+00:00,2020-08-24 01:31:58+00:00,113.0,15.0,20.0,3001.0,433.0,2017-06-28 06:10:16+00:00,0.1.3,3.0,Was an interactive continuous Python profiler.,34.0,29.0,18.0,20,https://pypi.org/project/profiling,2017-06-28 06:10:16+00:00,5.0,2662.0,2662.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n506,DALI,NVIDIA/DALI,,,,gpu-utilities,,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01+00:00,2020-12-18 10:52:59+00:00,2020-12-17 15:49:44+00:00,355.0,175.0,573.0,2986.0,1638.0,2020-11-30 15:46:55+00:00,0.28.0,34.0,A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep..,,,53.0,20,,,,,,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n507,AdaBound,Luolc/AdaBound,adabound,,,pytorch-utils,['pytorch'],https://github.com/Luolc/AdaBound,https://github.com/Luolc/AdaBound,Apache-2.0,2019-02-15 18:05:20+00:00,2019-03-06 17:01:52+00:00,2019-03-06 17:01:45+00:00,317.0,16.0,7.0,2817.0,27.0,2019-03-06 16:44:42+00:00,0.0.5,4.0,An optimizer that trains as fast as Adam and as good as SGD.,97.0,91.0,2.0,20,https://pypi.org/project/adabound,2019-02-26 04:23:45+00:00,6.0,1159.0,1159.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,,\n508,SHOGUN,shogun-toolbox/shogun,shogun-ml,,,ml-frameworks,,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32+00:00,2020-12-15 01:56:45+00:00,2020-12-08 16:56:38+00:00,1013.0,544.0,1067.0,2772.0,16205.0,2019-07-05 10:23:31+00:00,shogun_6.1.4,10.0,The Shogun Machine Learning Toolbox.,,,248.0,20,https://pypi.org/project/shogun-ml,2018-10-23 02:36:25.133000+00:00,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n509,FATE,FederatedAI/FATE,,,,privacy-ml,,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43+00:00,2020-12-18 10:32:53+00:00,2020-12-17 07:29:34+00:00,751.0,243.0,518.0,2620.0,6591.0,2020-11-13 13:36:14+00:00,1.5.0,24.0,An Industrial Grade Federated Learning Framework.,,,50.0,20,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n510,BytePS,bytedance/byteps,byteps,,,distributed-ml,,https://github.com/bytedance/byteps,https://github.com/bytedance/byteps,Apache-2.0,2019-06-25 07:00:13+00:00,2020-12-14 06:23:38+00:00,2020-12-06 21:02:44+00:00,357.0,68.0,128.0,2576.0,407.0,2020-08-27 15:42:13+00:00,0.2.4,7.0,A high performance and generic framework for distributed DNN training.,,,16.0,20,https://pypi.org/project/byteps,2020-11-04 00:05:46+00:00,,212.0,263.0,,,,True,3,,,,bytepsimage/tensorflow,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610+00:00,,926.0,,,,,,,,,,,,,,,,\n511,StreamAlert,airbnb/streamalert,,,,others,,https://github.com/airbnb/streamalert,https://github.com/airbnb/streamalert,Apache-2.0,2017-01-22 01:10:56+00:00,2020-10-27 21:18:35+00:00,2020-10-05 21:15:11+00:00,281.0,90.0,247.0,2424.0,1892.0,2020-10-05 21:50:56+00:00,3.4.1,27.0,\"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data..\",,,30.0,20,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n512,finmarketpy,cuemacro/finmarketpy,finmarketpy,,,financial-data,,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03+00:00,2020-12-02 18:18:09+00:00,2020-12-02 18:18:01+00:00,411.0,21.0,3.0,2405.0,635.0,2020-10-20 09:25:52+00:00,0.11.7,8.0,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,3.0,3.0,13.0,20,https://pypi.org/project/finmarketpy,2020-10-20 09:28:00+00:00,,87.0,87.0,,,,True,3,39.0,,,,,,,,,,,,,,,,,,,,,,,\n513,DeepVariant,google/deepvariant,,bioconda/deepvariant,,medical-data,['tensorflow'],https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22+00:00,2020-12-14 23:35:28+00:00,2020-12-14 23:35:27+00:00,518.0,3.0,358.0,2139.0,1503.0,2020-12-07 17:56:31+00:00,1.1.0,15.0,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,,,19.0,20,,,,,80.0,https://anaconda.org/bioconda/deepvariant,,,True,3,2905.0,,,,,,,,,,,,,,,,,,,,,,,\n514,TensorTrade,tensortrade-org/tensortrade,tensortrade,,,financial-data,,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32+00:00,2020-12-16 21:12:21+00:00,2020-09-17 13:33:31+00:00,525.0,33.0,106.0,1994.0,823.0,,,25.0,\"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.\",9.0,8.0,42.0,20,https://pypi.org/project/tensortrade,2020-08-24 18:26:46+00:00,1.0,673.0,673.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n515,Kashgari,BrikerMan/Kashgari,kashgari-tf,,,nlp,['tensorflow'],https://github.com/BrikerMan/Kashgari,https://github.com/BrikerMan/Kashgari,Apache-2.0,2019-01-19 01:53:28+00:00,2020-12-09 02:13:33+00:00,2020-10-29 08:08:00+00:00,371.0,29.0,296.0,1963.0,,2020-10-30 12:37:01+00:00,2.0.1,23.0,Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-..,20.0,19.0,19.0,20,https://pypi.org/project/kashgari-tf,2019-06-26 12:27:50+00:00,1.0,230.0,230.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n516,Coach,IntelLabs/coach,rl_coach,,,reinforcement-learning,,https://github.com/IntelLabs/coach,https://github.com/IntelLabs/coach,Apache-2.0,2017-10-01 19:27:43+00:00,2020-12-15 20:29:00+00:00,2020-12-15 08:02:16+00:00,374.0,80.0,181.0,1880.0,512.0,2019-10-10 14:17:10+00:00,1.0.1,13.0,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,1.0,,34.0,20,https://pypi.org/project/rl_coach,2019-10-10 14:17:10+00:00,1.0,150.0,150.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n517,PARL,PaddlePaddle/PARL,parl,,,reinforcement-learning,['paddle'],https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22+00:00,2020-12-18 09:48:39+00:00,2020-12-18 07:37:18+00:00,395.0,37.0,139.0,1732.0,1.0,2020-11-17 12:11:06+00:00,1.3.3,14.0,A high-performance distributed training framework for Reinforcement Learning.,65.0,65.0,20.0,20,https://pypi.org/project/parl,2020-11-17 12:11:06+00:00,,465.0,465.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n518,auto_ml,ClimbsRocks/auto_ml,auto_ml,,,hyperopt,,https://github.com/ClimbsRocks/auto_ml,https://github.com/ClimbsRocks/auto_ml,MIT,2016-08-07 21:35:08+00:00,2020-05-19 22:45:27+00:00,2018-03-25 19:46:25+00:00,283.0,176.0,215.0,1505.0,1149.0,2018-02-22 01:13:03+00:00,2.9.10,78.0,[UNMAINTAINED] Automated machine learning for analytics & production.,1.0,,13.0,20,https://pypi.org/project/auto_ml,2018-02-22 01:13:03+00:00,1.0,2241.0,2241.0,,,,False,3,33.0,,,,,,,,,,,,,,,,,,,,,,,\n519,AmpliGraph,Accenture/AmpliGraph,ampligraph,,,graph,['tensorflow'],https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05+00:00,2020-08-25 17:19:24+00:00,2020-08-25 17:00:58+00:00,151.0,18.0,155.0,1384.0,895.0,2020-08-25 17:06:46+00:00,1.3.2,11.0,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,9.0,9.0,14.0,20,https://pypi.org/project/ampligraph,2020-08-25 16:59:58+00:00,,810.0,810.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n520,cleanlab,cgnorthcutt/cleanlab,cleanlab,,,others,,https://github.com/cgnorthcutt/cleanlab,https://github.com/cgnorthcutt/cleanlab,MIT,2018-05-11 01:55:21+00:00,2020-12-11 06:18:10+00:00,2020-12-11 06:18:09+00:00,147.0,16.0,35.0,1374.0,695.0,2020-02-17 07:33:06+00:00,0.1.1,15.0,The standard package for machine learning with noisy labels and finding mislabeled data in Python.,8.0,8.0,5.0,20,https://pypi.org/project/cleanlab,2020-02-17 07:33:06+00:00,,2048.0,2048.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n521,ThunderSVM,Xtra-Computing/thundersvm,thundersvm,,,ml-frameworks,,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04+00:00,2020-12-14 03:08:11+00:00,2020-12-14 03:08:11+00:00,163.0,42.0,144.0,1246.0,896.0,2020-03-13 12:36:30+00:00,0.3.12,9.0,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,,,33.0,20,https://pypi.org/project/thundersvm,2020-03-13 12:36:30+00:00,,373.0,414.0,,,,True,3,2052.0,,,,,,,,,,,,,,,,,,,,,,,\n522,db.py,yhat/db.py,db.py,,,db-clients,,https://github.com/yhat/db.py,https://github.com/yhat/db.py,BSD-2-Clause,2014-10-26 15:36:57+00:00,2019-12-13 18:00:10+00:00,2017-03-31 14:41:30+00:00,110.0,32.0,21.0,1205.0,233.0,2017-03-31 14:41:57+00:00,0.5.3,35.0,db.py is an easier way to interact with your databases.,19.0,,24.0,20,https://pypi.org/project/db.py,2017-03-31 14:41:57+00:00,19.0,803.0,803.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n523,Karate Club,benedekrozemberczki/karateclub,karateclub,,,graph,,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56+00:00,2020-12-12 23:04:26+00:00,2020-12-12 23:04:20+00:00,128.0,,46.0,1079.0,2093.0,2020-12-01 21:11:27+00:00,_10022,95.0,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,17.0,17.0,11.0,20,https://pypi.org/project/karateclub,2020-12-01 21:08:09+00:00,,5206.0,5206.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,,\n524,datatable,h2oai/datatable,datatable,,,data-containers,,https://github.com/h2oai/datatable,https://github.com/h2oai/datatable,MPL-2.0,2017-03-03 02:32:59+00:00,2020-12-18 04:28:41+00:00,2020-12-17 22:35:46+00:00,92.0,112.0,1100.0,1066.0,,2020-12-10 09:10:50+00:00,0.11.1,15.0,A Python package for manipulating 2-dimensional tabular data structures.,6.0,,28.0,20,https://pypi.org/project/datatable,2020-12-10 08:04:03+00:00,6.0,13852.0,13869.0,,,,True,3,699.0,,,,,,,,,,,,,,,,,,,,,,,\n525,FARM,deepset-ai/FARM,farm,,,nlp,['pytorch'],https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12+00:00,2020-12-18 10:29:49+00:00,2020-12-14 13:59:24+00:00,144.0,32.0,274.0,1050.0,504.0,2020-10-30 16:51:53+00:00,0.5.0,19.0,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,1.0,,28.0,20,https://pypi.org/project/farm,2020-10-30 16:14:35+00:00,1.0,6932.0,6932.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n526,Classy Vision,facebookresearch/ClassyVision,classy_vision,conda-forge/classy_vision,,image,['pytorch'],https://github.com/facebookresearch/ClassyVision,https://github.com/facebookresearch/ClassyVision,MIT,2019-09-13 22:54:44+00:00,2020-12-17 23:21:48+00:00,2020-12-17 23:21:37+00:00,178.0,46.0,39.0,985.0,309.0,2020-11-20 16:42:56+00:00,0.5.0,15.0,An end-to-end PyTorch framework for image and video classification.,,,48.0,20,https://pypi.org/project/classy_vision,2020-11-20 21:02:29+00:00,,745.0,745.0,https://anaconda.org/conda-forge/classy_vision,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n527,Sockeye,awslabs/sockeye,sockeye,,,nlp,['mxnet'],https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30+00:00,2020-12-14 11:06:21+00:00,2020-12-14 11:06:20+00:00,287.0,18.0,217.0,977.0,729.0,2020-11-18 13:41:36+00:00,2.3.2,59.0,Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet.,2.0,,52.0,20,https://pypi.org/project/sockeye,2020-11-05 14:07:57+00:00,2.0,630.0,630.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n528,TensorNets,taehoonlee/tensornets,tensornets,,,tensorflow-utils,['tensorflow'],https://github.com/taehoonlee/tensornets,https://github.com/taehoonlee/tensornets,MIT,2017-09-19 05:19:01+00:00,2020-10-03 09:19:27+00:00,2020-10-03 09:19:17+00:00,181.0,14.0,42.0,962.0,283.0,2020-03-31 04:38:27+00:00,0.4.6,12.0,High level network definitions with pre-trained weights in TensorFlow.,29.0,27.0,6.0,20,https://pypi.org/project/tensornets,2020-03-31 04:35:15+00:00,2.0,297.0,297.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n529,gplearn,trevorstephens/gplearn,gplearn,,,others,['sklearn'],https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14+00:00,2020-02-15 08:12:38+00:00,2020-02-15 08:12:17+00:00,149.0,26.0,114.0,896.0,146.0,2019-06-01 02:04:52+00:00,0.4.1,5.0,\"Genetic Programming in Python, with a scikit-learn inspired API.\",118.0,111.0,10.0,20,https://pypi.org/project/gplearn,2019-06-01 02:04:52+00:00,7.0,1199.0,1199.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n530,geoplotlib,andrea-cuttone/geoplotlib,geoplotlib,,,geospatial-data,,https://github.com/andrea-cuttone/geoplotlib,https://github.com/andrea-cuttone/geoplotlib,MIT,2015-02-24 13:13:07+00:00,2020-04-10 20:00:31+00:00,2019-05-06 07:06:50+00:00,142.0,23.0,18.0,884.0,159.0,2016-07-27 14:55:01+00:00,0.3.2,4.0,python toolbox for visualizing geographical data and making maps.,93.0,84.0,8.0,20,https://pypi.org/project/geoplotlib,2016-07-27 14:55:01+00:00,9.0,1498.0,1498.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n531,Haiku,deepmind/dm-haiku,,,,ml-frameworks,,https://github.com/deepmind/dm-haiku,https://github.com/deepmind/dm-haiku,Apache-2.0,2020-02-18 07:14:02+00:00,2020-12-17 13:47:24+00:00,2020-12-17 13:46:46+00:00,56.0,18.0,44.0,852.0,425.0,2020-11-24 11:25:05+00:00,0.0.3,5.0,JAX-based neural network library.,49.0,49.0,32.0,20,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n532,Paddle Graph Learning,PaddlePaddle/PGL,pgl,,,graph,['paddle'],https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28+00:00,2020-12-16 07:15:21+00:00,2020-12-14 07:02:53+00:00,109.0,14.0,26.0,846.0,349.0,2020-11-20 06:23:47+00:00,1.2.1,6.0,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,10.0,9.0,17.0,20,https://pypi.org/project/pgl,2020-11-20 06:23:47+00:00,1.0,1037.0,1037.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n533,Fiber,uber/fiber,fiber,,,distributed-ml,,https://github.com/uber/fiber,https://github.com/uber/fiber,Apache-2.0,2020-01-07 18:16:24+00:00,2020-10-06 14:39:41+00:00,2020-10-06 14:39:12+00:00,85.0,11.0,5.0,827.0,60.0,2020-07-09 03:28:28+00:00,0.2.1,6.0,Distributed Computing for AI Made Simple.,18.0,17.0,5.0,20,https://pypi.org/project/fiber,2020-07-09 03:28:28+00:00,1.0,1766.0,1766.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n534,iNNvestigate,albermax/innvestigate,innvestigate,,,interpretability,['keras'],https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20+00:00,2020-11-14 11:35:59+00:00,2020-10-16 15:26:56+00:00,168.0,71.0,126.0,736.0,882.0,2019-03-19 14:31:31+00:00,1.0.9,2.0,A toolbox to iNNvestigate neural networks' predictions!.,41.0,40.0,18.0,20,https://pypi.org/project/innvestigate,2020-11-14 11:35:59+00:00,1.0,594.0,594.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n535,keras-ocr,faustomorales/keras-ocr,keras-ocr,,,ocr,,https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50+00:00,2020-12-11 02:31:17+00:00,2020-11-26 17:18:25+00:00,162.0,25.0,94.0,724.0,161.0,2020-11-26 17:19:39+00:00,0.8.6,26.0,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,1.0,,9.0,20,https://pypi.org/project/keras-ocr,2020-11-26 17:19:39+00:00,1.0,2015.0,5348.0,,,,True,3,10001.0,,,,,,,,,,,,,,,,,,,,,,,\n536,YouTokenToMe,vkcom/youtokentome,youtokentome,,,nlp,,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28+00:00,2020-10-01 23:24:11+00:00,2020-02-13 09:49:37+00:00,42.0,21.0,20.0,698.0,76.0,2020-02-13 09:57:47+00:00,1.0.6,14.0,Unsupervised text tokenizer focused on computational efficiency.,94.0,88.0,6.0,20,https://pypi.org/project/youtokentome,2020-02-12 18:24:46+00:00,6.0,7127.0,7127.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n537,Opacus,pytorch/opacus,opacus,,,privacy-ml,['pytorch'],https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09+00:00,2020-12-17 17:30:40+00:00,2020-12-17 02:37:44+00:00,84.0,9.0,45.0,683.0,192.0,2020-12-17 17:30:40+00:00,0.11.0,6.0,Training PyTorch models with differential privacy.,9.0,9.0,23.0,20,https://pypi.org/project/opacus,2020-12-17 17:30:40+00:00,,861.0,865.0,,,,True,3,28.0,,,,,,,,,,,,,,,,,,,,,,,\n538,Darts,unit8co/darts,u8darts,,,time-series-data,,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28+00:00,2020-12-15 13:12:30+00:00,2020-11-09 15:33:02+00:00,79.0,14.0,38.0,669.0,284.0,2020-11-09 16:00:41+00:00,0.5.0,8.0,A python library for easy manipulation and forecasting of time series.,9.0,9.0,23.0,20,https://pypi.org/project/u8darts,2020-11-09 16:00:41+00:00,,890.0,892.0,,,,True,3,,,,unit8/darts,https://hub.docker.com/r/unit8/darts,2020-10-06 11:35:55.085411+00:00,,75.0,,,,,,,,,,,,,,,,\n539,TabNet,dreamquark-ai/tabnet,pytorch-tabnet,,,pytorch-utils,['pytorch'],https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32+00:00,2020-12-17 20:02:23+00:00,2020-12-15 12:44:06+00:00,127.0,30.0,93.0,665.0,158.0,2020-12-15 12:44:24+00:00,3.0.0,15.0,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,,,16.0,20,https://pypi.org/project/pytorch-tabnet,2020-12-15 12:44:24+00:00,,8402.0,8402.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n540,NeuPy,itdxer/neupy,neupy,,,ml-frameworks,,https://github.com/itdxer/neupy,https://github.com/itdxer/neupy,MIT,2015-08-24 19:45:11+00:00,2020-01-15 08:04:33+00:00,2019-09-02 19:02:38+00:00,143.0,26.0,229.0,658.0,1145.0,2019-04-04 19:44:59+00:00,0.8.2,34.0,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,109.0,99.0,6.0,20,https://pypi.org/project/neupy,2019-04-04 19:43:06+00:00,10.0,918.0,918.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n541,NearPy,pixelogik/NearPy,NearPy,,,nn-search,,https://github.com/pixelogik/NearPy,https://github.com/pixelogik/NearPy,MIT,2013-04-25 09:10:26+00:00,2020-02-17 20:24:08+00:00,2018-10-21 17:54:28+00:00,135.0,21.0,38.0,656.0,159.0,2016-09-27 13:04:44+00:00,1.0.0,8.0,\"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..\",62.0,47.0,18.0,20,https://pypi.org/project/NearPy,2016-09-27 13:03:12+00:00,15.0,1779.0,1779.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n542,RecBole,RUCAIBox/RecBole,recbole,aibox/recbole,,recommender-systems,['pytorch'],https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11+00:00,2020-12-18 09:31:26+00:00,2020-12-15 10:23:00+00:00,85.0,17.0,11.0,642.0,2179.0,2020-12-06 08:33:29+00:00,0.1.2,3.0,\"A unified, comprehensive and efficient recommendation library.\",,,21.0,20,https://pypi.org/project/recbole,2020-12-06 08:38:29+00:00,,170.0,170.0,https://anaconda.org/aibox/recbole,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n543,TensorBoard Logger,TeamHG-Memex/tensorboard_logger,tensorboard_logger,,,ml-experiments,,https://github.com/TeamHG-Memex/tensorboard_logger,https://github.com/TeamHG-Memex/tensorboard_logger,MIT,2016-10-27 14:02:25+00:00,2020-10-27 20:51:06+00:00,2019-10-21 07:52:07+00:00,53.0,9.0,15.0,609.0,46.0,2018-02-08 07:28:51+00:00,0.1.0,5.0,Log TensorBoard events without touching TensorFlow.,42.0,,5.0,20,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51+00:00,42.0,54257.0,54257.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n544,pdpipe,pdpipe/pdpipe,pdpipe,,,data-pipelines,['pandas'],https://github.com/pdpipe/pdpipe,https://github.com/pdpipe/pdpipe,MIT,2017-01-24 20:37:22+00:00,2020-11-17 08:57:21+00:00,2020-11-17 08:57:20+00:00,29.0,6.0,14.0,574.0,341.0,2020-11-09 09:32:37+00:00,0.0.53,49.0,Easy pipelines for pandas DataFrames.,21.0,21.0,8.0,20,https://pypi.org/project/pdpipe,2020-11-09 09:32:37+00:00,,961.0,961.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n545,torch-scatter,rusty1s/pytorch_scatter,torch-scatter,,,pytorch-utils,['pytorch'],https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23+00:00,2020-12-11 20:40:45+00:00,2020-12-01 08:40:47+00:00,71.0,56.0,101.0,558.0,803.0,2020-06-24 09:29:12+00:00,2.0.5,24.0,PyTorch Extension Library of Optimized Scatter Operations.,16.0,,13.0,20,https://pypi.org/project/torch-scatter,2020-02-22 16:51:10+00:00,16.0,4567.0,4567.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n546,Mapbox GL,mapbox/mapboxgl-jupyter,mapboxgl,,,geospatial-data,['jupyter'],https://github.com/mapbox/mapboxgl-jupyter,https://github.com/mapbox/mapboxgl-jupyter,MIT,2017-08-08 15:10:51+00:00,2019-12-13 22:49:07+00:00,2019-12-03 21:57:25+00:00,117.0,34.0,67.0,549.0,220.0,2019-06-03 21:24:10+00:00,0.10.2,20.0,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,103.0,85.0,20.0,20,https://pypi.org/project/mapboxgl,2019-06-02 15:18:57+00:00,18.0,6864.0,6864.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n547,gazpacho,maxhumber/gazpacho,gazpacho,,,web-scraping,,https://github.com/maxhumber/gazpacho,https://github.com/maxhumber/gazpacho,MIT,2019-09-23 20:21:55+00:00,2020-10-31 18:03:20+00:00,2020-10-31 18:03:19+00:00,46.0,3.0,29.0,497.0,142.0,2020-10-09 12:51:41+00:00,1.1,18.0,\"The simple, fast, and modern web scraping library.\",76.0,74.0,13.0,20,https://pypi.org/project/gazpacho,2020-09-24 17:50:19+00:00,2.0,1867.0,1867.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n548,N2,kakao/n2,n2,,,nn-search,,https://github.com/kakao/n2,https://github.com/kakao/n2,Apache-2.0,2017-11-23 02:27:59+00:00,2020-10-21 05:15:27+00:00,2020-10-21 05:14:11+00:00,51.0,17.0,20.0,442.0,242.0,2020-10-16 03:43:47+00:00,0.1.7,8.0,TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets.,14.0,12.0,17.0,20,https://pypi.org/project/n2,2020-10-16 02:48:11+00:00,2.0,488.0,488.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n549,pivottablejs,nicolaskruchten/jupyter_pivottablejs,pivottablejs,,,data-viz,['jupyter'],https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,MIT,2015-09-09 13:39:18+00:00,2018-12-04 14:43:26+00:00,2018-12-04 14:43:25+00:00,53.0,16.0,37.0,407.0,32.0,2018-01-15 18:14:37+00:00,0.9.0,10.0,\"Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js.\",146.0,132.0,3.0,20,https://pypi.org/project/pivottablejs,2018-01-15 18:14:37+00:00,14.0,8914.0,8914.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n550,PyWaffle,gyli/PyWaffle,pywaffle,,,data-viz,,https://github.com/gyli/PyWaffle,https://github.com/gyli/PyWaffle,MIT,2017-11-14 20:03:47+00:00,2020-07-26 23:22:17+00:00,2020-07-26 23:22:13+00:00,59.0,2.0,10.0,367.0,249.0,2020-07-26 19:16:45+00:00,0.6.1,22.0,Make Waffle Charts in Python.,37.0,37.0,6.0,20,https://pypi.org/project/pywaffle,2020-07-26 19:16:45+00:00,,1374.0,1374.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n551,BioPandas,rasbt/biopandas,biopandas,conda-forge/biopandas,,others,['pandas'],https://github.com/rasbt/biopandas,https://github.com/rasbt/biopandas,BSD-3-Clause,2015-11-21 00:00:14+00:00,2020-11-09 18:19:23+00:00,2020-11-09 18:19:22+00:00,76.0,16.0,18.0,310.0,142.0,2020-08-04 13:52:27+00:00,0.2.7,11.0,Working with molecular structures in pandas DataFrames.,49.0,46.0,7.0,20,https://pypi.org/project/biopandas,2020-08-04 13:49:59+00:00,3.0,378.0,378.0,https://anaconda.org/conda-forge/biopandas,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n552,MedPy,loli/medpy,MedPy,,,medical-data,,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34+00:00,2020-05-01 15:25:39+00:00,2020-05-01 15:25:38+00:00,105.0,8.0,65.0,307.0,324.0,2019-02-14 17:12:59+00:00,0.4.0,6.0,Medical image processing in Python.,212.0,205.0,13.0,20,https://pypi.org/project/MedPy,2019-02-14 17:12:59+00:00,7.0,3244.0,3244.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n553,Labml,lab-ml/labml,labml,,,ml-experiments,,https://github.com/lab-ml/labml,https://github.com/lab-ml/labml,MIT,2018-11-16 09:34:48+00:00,2020-12-17 17:26:57+00:00,2020-12-17 17:26:49+00:00,27.0,,6.0,301.0,841.0,2020-12-17 08:51:11+00:00,0.4.74,51.0,Monitor PyTorch & TensorFlow model training on mobile phones.,20.0,20.0,5.0,20,https://pypi.org/project/labml,2020-12-17 08:51:11+00:00,0.0,708.0,708.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n554,sklearn-evaluation,edublancas/sklearn-evaluation,sklearn-evaluation,,,interpretability,['sklearn'],https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2015-09-04 16:33:42+00:00,2020-12-15 17:34:30+00:00,2020-12-15 17:33:52+00:00,25.0,7.0,27.0,285.0,469.0,2020-12-15 17:36:29+00:00,0.5.3,15.0,\"scikit-learn model evaluation made easy: plots, tables and markdown reports.\",27.0,25.0,5.0,20,https://pypi.org/project/sklearn-evaluation,2020-12-15 17:34:30+00:00,2.0,388.0,388.0,,,,True,3,,,,,,,,,,,,,,2.0,,,,,,,,,,\n555,AutoViz,AutoViML/AutoViz,autoviz,,,data-viz,,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06+00:00,2020-12-10 02:33:19+00:00,2020-12-10 02:30:26+00:00,54.0,3.0,16.0,267.0,96.0,2020-12-10 02:33:19+00:00,0.0.81,26.0,\"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..\",24.0,24.0,10.0,20,https://pypi.org/project/autoviz,2020-12-10 02:33:19+00:00,,1413.0,1413.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n556,Submit it,facebookincubator/submitit,submitit,conda-forge/submitit,,distributed-ml,,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09+00:00,2020-12-17 16:42:58+00:00,2020-12-04 13:12:27+00:00,16.0,9.0,12.0,265.0,33.0,2020-11-19 12:53:49+00:00,1.1.5,8.0,Python 3.6+ toolbox for submitting jobs to Slurm.,68.0,68.0,8.0,20,https://pypi.org/project/submitit,2020-12-01 08:14:16+00:00,0.0,1457.0,1457.0,https://anaconda.org/conda-forge/submitit,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n557,Brainiak,brainiak/brainiak,brainiak,,,medical-data,,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27+00:00,2020-10-15 21:11:03.379549+00:00,2020-10-15 16:28:46+00:00,105.0,62.0,117.0,229.0,388.0,2019-08-27 23:52:29+00:00,0.9.1,15.0,Brain Imaging Analysis Kit.,12.0,11.0,32.0,20,https://pypi.org/project/brainiak,2020-10-15 20:45:08+00:00,1.0,148.0,155.0,,,,True,3,,,,brainiak/brainiak,https://hub.docker.com/r/brainiak/brainiak,2020-10-15 21:11:03.379549+00:00,1.0,446.0,,,,,,,,,,,,,,,,\n558,recmetrics,statisticianinstilettos/recmetrics,recmetrics,,,recommender-systems,,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49+00:00,2020-12-03 21:21:02+00:00,2020-12-03 21:21:00+00:00,52.0,7.0,7.0,216.0,233.0,2019-02-10 16:12:38+00:00,0.0.9,11.0,A library of metrics for evaluating recommender systems.,14.0,14.0,12.0,20,https://pypi.org/project/recmetrics,2019-02-10 16:12:38+00:00,,1272.0,1272.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n559,StaticFrame,InvestmentSystems/static-frame,static-frame,conda-forge/static-frame,,data-containers,,https://github.com/InvestmentSystems/static-frame,https://github.com/InvestmentSystems/static-frame,MIT,2018-01-03 15:07:52+00:00,2020-12-18 05:03:20+00:00,2020-12-18 05:03:08+00:00,20.0,31.0,229.0,205.0,2125.0,2020-12-14 17:20:49+00:00,0.7.8,90.0,\"The StaticFrame library defines the Series and Frame, immutable data structures for one- and two-dimensional..\",5.0,5.0,14.0,20,https://pypi.org/project/static-frame,2020-12-01 04:29:56+00:00,,2503.0,2503.0,https://anaconda.org/conda-forge/static-frame,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n560,stop-words,Alir3z4/python-stop-words,stop-words,,,nlp,,https://github.com/Alir3z4/python-stop-words,https://github.com/Alir3z4/python-stop-words,BSD-3-Clause,2014-05-26 06:44:03+00:00,2019-10-16 15:01:43+00:00,2018-07-23 21:04:09+00:00,19.0,3.0,9.0,120.0,90.0,2018-07-23 20:58:34+00:00,2018.7.23,8.0,Get list of common stop words in various languages in Python.,1232.0,1028.0,8.0,20,https://pypi.org/project/stop-words,2018-07-23 20:55:55+00:00,204.0,43205.0,43205.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n561,cortex,cortexlabs/cortex,,,,model-serialisation,,https://github.com/cortexlabs/cortex,https://github.com/cortexlabs/cortex,Apache-2.0,2019-01-24 04:43:14+00:00,2020-12-18 10:46:22+00:00,2020-12-18 00:11:16+00:00,531.0,210.0,634.0,7064.0,1707.0,2020-12-13 05:18:57+00:00,0.24.1,42.0,Run inference at scale.,,,17.0,19,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n562,graph-nets,deepmind/graph_nets,graph-nets,,,graph,['tensorflow'],https://github.com/deepmind/graph_nets,https://github.com/deepmind/graph_nets,Apache-2.0,2018-08-31 08:19:28+00:00,2020-12-04 17:43:48+00:00,2020-12-04 17:43:47+00:00,708.0,13.0,101.0,4692.0,47.0,2020-01-29 16:00:25+00:00,1.1.0,7.0,Build Graph Nets in Tensorflow.,7.0,,11.0,19,https://pypi.org/project/graph-nets,2020-01-29 16:00:25+00:00,7.0,830.0,830.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n563,Qlib,microsoft/qlib,pyqlib,,,financial-data,['pytorch'],https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00+00:00,2020-12-18 09:52:53+00:00,2020-12-17 09:12:40+00:00,416.0,34.0,26.0,2900.0,,2020-12-12 09:59:16+00:00,0.6.1,15.0,\"Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research,..\",,,24.0,19,https://pypi.org/project/pyqlib,2020-12-12 09:59:16+00:00,,1705.0,1747.0,,,,True,3,128.0,,,,,,,,,,,,,,,,,,,,,,,\n564,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,torchbiggraph,,,graph,['pytorch'],https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16+00:00,2020-12-16 11:58:59+00:00,2020-12-02 18:06:46+00:00,358.0,31.0,96.0,2612.0,140.0,2019-10-14 16:45:11+00:00,1.0.0,3.0,Generate embeddings from large-scale graph-structured data.,4.0,,19.0,19,https://pypi.org/project/torchbiggraph,2019-05-01 21:31:13+00:00,4.0,334.0,339.0,,,,True,3,101.0,,,,,,,,,,,,,,,,,,,,,,,\n565,MMLSpark,Azure/mmlspark,,,,distributed-ml,['spark'],https://github.com/Azure/mmlspark,https://github.com/Azure/mmlspark,MIT,2017-06-05 08:23:44+00:00,2020-12-11 15:17:54+00:00,2020-12-03 17:05:17+00:00,467.0,171.0,212.0,2215.0,760.0,2020-10-02 19:36:01+00:00,1.0.0-rc3,17.0,Microsoft Machine Learning for Apache Spark.,,,61.0,19,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n566,cuML,rapidsai/cuml,cuml,,,gpu-utilities,,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35+00:00,2020-12-18 01:38:52+00:00,2020-12-17 22:22:28+00:00,295.0,629.0,857.0,1838.0,,2020-12-10 21:50:49+00:00,0.17.0,5.0,cuML - RAPIDS Machine Learning Library.,,,118.0,19,https://pypi.org/project/cuml,2019-04-11 16:57:48+00:00,,408.0,408.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n567,Hummingbird,microsoft/hummingbird,hummingbird-ml,,,model-serialisation,,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03+00:00,2020-12-18 01:08:12+00:00,2020-12-18 00:01:34+00:00,140.0,45.0,122.0,1826.0,,2020-10-30 21:47:05+00:00,0.1.0,7.0,Hummingbird compiles trained ML models into tensor computation for faster inference.,12.0,12.0,17.0,19,https://pypi.org/project/hummingbird-ml,2020-10-30 21:45:47+00:00,,650.0,662.0,,,,True,3,84.0,,,,,,,,,,,,,,,,,,,,,,,\n568,riko,nerevu/riko,riko,,,data-pipelines,,https://github.com/nerevu/riko,https://github.com/nerevu/riko,MIT,2016-06-02 12:22:51+00:00,2020-08-14 18:29:28+00:00,2020-08-14 16:47:45+00:00,70.0,22.0,8.0,1543.0,1257.0,2020-08-14 18:29:28+00:00,0.66.0,58.0,A Python stream processing engine modeled after Yahoo! Pipes.,1.0,,18.0,19,https://pypi.org/project/riko,2020-08-14 18:29:28+00:00,1.0,287.0,287.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n569,HiPlot,facebookresearch/hiplot,hiplot,conda-forge/hiplot,,data-viz,,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41+00:00,2020-12-18 09:30:13+00:00,2020-12-18 09:22:09+00:00,82.0,4.0,41.0,1495.0,105.0,2020-11-27 09:52:56+00:00,0.1.21,32.0,HiPlot makes understanding high dimensional data easy.,2.0,2.0,6.0,19,https://pypi.org/project/hiplot,2020-11-30 11:40:56+00:00,,3465.0,3465.0,https://anaconda.org/conda-forge/hiplot,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n570,DLTK,DLTK/DLTK,dltk,,,medical-data,['tensorflow'],https://github.com/DLTK/DLTK,https://github.com/DLTK/DLTK,Apache-2.0,2017-05-02 15:40:36+00:00,2020-11-13 17:17:16+00:00,2019-01-21 14:01:28+00:00,377.0,7.0,24.0,1230.0,379.0,,,5.0,Deep Learning Toolkit for Medical Image Analysis.,17.0,17.0,9.0,19,https://pypi.org/project/dltk,2018-02-26 17:43:57+00:00,,108.0,108.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n571,doc2text,jlsutherland/doc2text,doc2text,,,ocr,,https://github.com/jlsutherland/doc2text,https://github.com/jlsutherland/doc2text,MIT,2016-08-28 19:30:02+00:00,2020-12-01 22:56:27+00:00,2020-12-01 22:56:26+00:00,91.0,12.0,9.0,1223.0,62.0,2016-09-06 21:59:21+00:00,0.2.4,5.0,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,31.0,31.0,5.0,19,https://pypi.org/project/doc2text,2016-09-06 21:59:21+00:00,,285.0,285.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n572,Sweetviz,fbdesignpro/sweetviz,sweetviz,,,data-viz,,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47+00:00,2020-12-10 14:32:35+00:00,2020-12-10 14:30:47+00:00,132.0,21.0,40.0,1167.0,77.0,2020-12-10 14:32:35+00:00,2.0.4,22.0,\"Visualize and compare datasets, target values and associations, with one line of code.\",,,6.0,19,https://pypi.org/project/sweetviz,2020-12-10 14:32:35+00:00,,7019.0,7019.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n573,TaskTiger,closeio/tasktiger,tasktiger,,,data-pipelines,,https://github.com/closeio/tasktiger,https://github.com/closeio/tasktiger,MIT,2015-05-14 00:26:32+00:00,2020-12-17 16:07:12+00:00,2020-12-17 16:07:11+00:00,58.0,30.0,31.0,1036.0,250.0,2019-10-29 19:32:58+00:00,0.10.1,22.0,Python task queue using Redis.,28.0,19.0,19.0,19,https://pypi.org/project/tasktiger,2020-06-18 22:08:56+00:00,9.0,391.0,391.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n574,Skater,oracle/Skater,skater,,,interpretability,,https://github.com/oracle/Skater,https://github.com/oracle/Skater,UPL-1.0,2017-01-26 05:45:42+00:00,2020-06-29 20:07:14+00:00,2020-06-29 20:07:12+00:00,156.0,62.0,97.0,955.0,1101.0,2018-09-21 07:03:32+00:00,1.1.2,23.0,Python Library for Model Interpretation/Explanations.,,,34.0,19,https://pypi.org/project/skater,2018-09-21 07:03:32+00:00,,7333.0,7333.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n575,Databolt Flow,d6t/d6tflow,d6tflow,,,data-pipelines,,https://github.com/d6t/d6tflow,https://github.com/d6t/d6tflow,MIT,2019-02-03 01:51:22+00:00,2020-12-07 23:05:27+00:00,2020-12-07 23:05:24+00:00,63.0,5.0,11.0,887.0,97.0,2020-10-19 04:14:45+00:00,0.2.1,18.0,Python library for building highly effective data science workflows.,12.0,12.0,9.0,19,https://pypi.org/project/d6tflow,2020-10-19 04:14:45+00:00,,207.0,207.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n576,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,pytorch_toolbelt,,,pytorch-utils,['pytorch'],https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49+00:00,2020-12-09 12:08:20+00:00,2020-12-09 12:08:16+00:00,71.0,3.0,14.0,867.0,489.0,2020-08-19 10:33:17+00:00,0.4.0,18.0,PyTorch extensions for fast R&D prototyping and Kaggle farming.,1.0,,4.0,19,https://pypi.org/project/pytorch_toolbelt,2020-08-19 10:33:17+00:00,1.0,2803.0,2803.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n577,TensorFrames,databricks/tensorframes,tensorframes,,,distributed-ml,\"['tensorflow', 'spark']\",https://github.com/databricks/tensorframes,https://github.com/databricks/tensorframes,Apache-2.0,2016-03-04 19:25:19+00:00,2020-11-13 17:47:02+00:00,2019-11-15 21:43:53+00:00,160.0,51.0,43.0,768.0,221.0,2018-11-16 20:50:02+00:00,0.6.0,6.0,[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark.,,,16.0,19,https://pypi.org/project/tensorframes,2018-05-16 14:20:28+00:00,,6573.0,6573.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n578,mlens,flennerhag/mlens,mlens,,,others,,https://github.com/flennerhag/mlens,https://github.com/flennerhag/mlens,MIT,2017-01-10 20:53:47+00:00,2020-02-25 14:32:48+00:00,2020-02-25 14:31:53+00:00,81.0,8.0,73.0,664.0,879.0,2018-10-30 22:34:35+00:00,0.2.3,14.0,ML-Ensemble high performance ensemble learning.,92.0,92.0,7.0,19,https://pypi.org/project/mlens,2018-10-30 22:30:43+00:00,,1053.0,1053.0,,,,True,3,,,,,,,,,,,,,,-1.0,,,,,,,,,,\n579,Test Tube,williamFalcon/test-tube,test_tube,,,hyperopt,,https://github.com/williamFalcon/test-tube,https://github.com/williamFalcon/test-tube,MIT,2017-09-06 02:14:57+00:00,2020-04-11 20:36:36+00:00,2020-03-17 22:44:47+00:00,59.0,22.0,21.0,640.0,642.0,2019-12-01 00:47:35+00:00,0.7.4,53.0,Python library to easily log experiments and parallelize hyperparameter search for neural networks.,5.0,,16.0,19,https://pypi.org/project/test_tube,2018-12-12 22:45:59+00:00,5.0,8504.0,8504.0,,,,True,3,7.0,,,,,,,,,,,,,,,,,,,,,,,\n580,finetune,IndicoDataSolutions/finetune,finetune,,,nlp,\"['tensorflow', 'sklearn']\",https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16+00:00,2020-12-16 11:18:55+00:00,2020-11-24 13:38:51+00:00,68.0,18.0,115.0,629.0,1201.0,2019-11-07 19:42:32+00:00,0.8.6,37.0,Scikit-learn style model finetuning for NLP.,9.0,7.0,18.0,19,https://pypi.org/project/finetune,2020-01-10 22:42:24+00:00,2.0,259.0,259.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n581,NGT,yahoojapan/NGT,ngt,,,nn-search,,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57+00:00,2020-11-17 22:33:08+00:00,2020-11-17 22:32:45+00:00,67.0,7.0,66.0,602.0,113.0,2020-08-19 04:31:59+00:00,1.12.2,45.0,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,3.0,,10.0,19,https://pypi.org/project/ngt,2020-09-23 06:52:45+00:00,3.0,3139.0,3139.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n582,PFRL,pfnet/pfrl,pfrl,,,reinforcement-learning,,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50+00:00,2020-12-17 08:58:41+00:00,2020-12-17 08:58:39+00:00,56.0,22.0,19.0,454.0,315.0,2020-12-17 04:57:58+00:00,0.2.1,4.0,PFRL: a PyTorch-based deep reinforcement learning library.,4.0,4.0,10.0,19,https://pypi.org/project/pfrl,2020-12-17 05:00:25+00:00,,668.0,668.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n583,HpBandSter,automl/HpBandSter,hpbandster,,,hyperopt,,https://github.com/automl/HpBandSter,https://github.com/automl/HpBandSter,BSD-3-Clause,2017-12-17 20:28:20+00:00,2020-09-06 09:54:54+00:00,2019-03-26 09:26:28+00:00,90.0,53.0,34.0,429.0,187.0,2019-07-30 12:47:43+00:00,1.0,6.0,a distributed Hyperband implementation on Steroids.,116.0,100.0,10.0,19,https://pypi.org/project/hpbandster,2018-10-24 09:31:01+00:00,16.0,6523.0,6523.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n584,Poutyne,GRAAL-Research/poutyne,poutyne,,,pytorch-utils,['pytorch'],https://github.com/GRAAL-Research/poutyne,https://github.com/GRAAL-Research/poutyne,LGPL-3.0,2017-12-07 18:30:17+00:00,2020-12-11 21:55:50+00:00,2020-12-11 21:54:42+00:00,47.0,12.0,33.0,417.0,466.0,2020-11-14 19:02:29+00:00,1.1,17.0,A simplified framework and utilities for PyTorch.,47.0,45.0,15.0,19,https://pypi.org/project/poutyne,2020-11-14 18:24:19+00:00,2.0,342.0,342.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n585,seglearn,dmbee/seglearn,seglearn,,,time-series-data,,https://github.com/dmbee/seglearn,https://github.com/dmbee/seglearn,BSD-3-Clause,2018-03-05 20:53:59+00:00,2020-11-08 14:51:01+00:00,2020-11-08 14:45:42+00:00,45.0,6.0,18.0,407.0,264.0,2020-04-02 15:26:06+00:00,1.2.1,20.0,Python module for machine learning time series:.,7.0,6.0,13.0,19,https://pypi.org/project/seglearn,2020-04-02 15:26:06+00:00,1.0,3339.0,3339.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n586,Feature Engine,solegalli/feature_engine,feature_engine,conda-forge/feature_engine,,others,,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2018-12-31 01:47:18+00:00,2020-12-18 10:28:18+00:00,2020-12-18 10:28:17+00:00,120.0,25.0,62.0,396.0,92.0,2020-09-21 11:05:42+00:00,0.6.1,22.0,Feature engineering package with sklearn like functionality.,1.0,,18.0,19,https://pypi.org/project/feature_engine,2020-09-21 11:05:42+00:00,1.0,14962.0,14962.0,https://anaconda.org/conda-forge/feature_engine,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n587,MXBoard,awslabs/mxboard,mxboard,,,ml-experiments,['mxnet'],https://github.com/awslabs/mxboard,https://github.com/awslabs/mxboard,Apache-2.0,2018-02-06 23:03:51+00:00,2020-01-24 23:21:56+00:00,2020-01-24 23:21:55+00:00,46.0,16.0,15.0,329.0,42.0,2018-05-22 20:25:51+00:00,0.1.0,12.0,Logging MXNet data for visualization in TensorBoard.,91.0,90.0,9.0,19,https://pypi.org/project/mxboard,2018-05-22 20:25:51+00:00,1.0,2596.0,2596.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n588,Sherpa,sherpa-ai/sherpa,parameter-sherpa,,,hyperopt,,https://github.com/sherpa-ai/sherpa,https://github.com/sherpa-ai/sherpa,GPL-3.0,2018-05-16 21:41:54+00:00,2020-10-18 07:57:50+00:00,2020-10-18 07:57:48+00:00,42.0,11.0,41.0,277.0,823.0,2020-07-31 05:29:09+00:00,1.0.7,8.0,\"Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.\",8.0,7.0,41.0,19,https://pypi.org/project/parameter-sherpa,2019-11-23 21:32:27+00:00,1.0,582.0,582.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n589,PyKEEN,SmartDataAnalytics/PyKEEN,pykeen,,,graph,,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2018-06-06 15:00:23+00:00,2020-12-17 15:03:29+00:00,2020-12-17 14:11:54+00:00,39.0,31.0,57.0,266.0,2254.0,2020-10-21 11:59:14+00:00,1.0.5,31.0,A Python library for learning and evaluating knowledge graph embeddings.,1.0,,17.0,19,https://pypi.org/project/pykeen,2020-08-25 14:33:23+00:00,1.0,287.0,292.0,,,,True,3,35.0,,,,,,,,,,,,,,,,,,,,,,,\n590,textpipe,textpipe/textpipe,textpipe,,,nlp,,https://github.com/textpipe/textpipe,https://github.com/textpipe/textpipe,MIT,2018-06-21 16:23:32+00:00,2020-12-14 09:08:31+00:00,2020-10-12 08:19:03+00:00,17.0,20.0,24.0,261.0,366.0,2020-10-12 08:24:19+00:00,0.12.1,38.0,Textpipe: clean and extract metadata from text.,7.0,6.0,27.0,19,https://pypi.org/project/textpipe,2020-10-12 08:24:19+00:00,1.0,544.0,544.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n591,pyfasttext,vrasneur/pyfasttext,pyfasttext,,,nlp,,https://github.com/vrasneur/pyfasttext,https://github.com/vrasneur/pyfasttext,GPL-3.0,2017-06-30 18:44:42+00:00,2018-12-08 15:32:09+00:00,2018-12-08 15:02:12+00:00,31.0,19.0,28.0,229.0,153.0,2018-12-08 15:02:54+00:00,0.4.6,13.0,Yet another Python binding for fastText.,131.0,126.0,4.0,19,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09+00:00,5.0,2819.0,2826.0,,,,False,3,304.0,,,,,,,,,,,,,,,,,,,,,,,\n592,fletcher,xhochy/fletcher,fletcher,,,data-containers,['pandas'],https://github.com/xhochy/fletcher,https://github.com/xhochy/fletcher,MIT,2018-03-04 16:44:22+00:00,2020-12-07 20:33:59+00:00,2020-12-07 20:25:51+00:00,32.0,33.0,39.0,203.0,499.0,2020-12-07 20:33:59+00:00,0.7.0,14.0,Pandas ExtensionDType/Array backed by Apache Arrow.,1.0,1.0,23.0,19,https://pypi.org/project/fletcher,2020-12-07 20:33:59+00:00,,496.0,497.0,,,,True,3,12.0,,,,,,,,,,,,,,,,,,,,,,,\n593,Crypto Signals,CryptoSignal/crypto-signal,,,,financial-data,,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24+00:00,2020-12-05 09:57:16+00:00,2020-09-03 12:26:48+00:00,637.0,43.0,187.0,2341.0,563.0,,,,\"Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 2,100 + stars, 580 + forks.\",,,25.0,18,,,,,1040.0,,,,True,3,,,,shadowreaver/crypto-signal,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133+00:00,7.0,40585.0,,,,,,,,,,,,,,,,\n594,Apache Singa,apache/singa,,nusdbsystem/singa,,distributed-ml,,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05+00:00,2020-12-11 05:57:25+00:00,2020-12-11 05:55:13+00:00,561.0,49.0,32.0,2144.0,2261.0,2020-04-21 08:01:08+00:00,3.0.0,3.0,a distributed deep learning platform.,,,70.0,18,,,,,2.0,https://anaconda.org/nusdbsystem/singa,,,True,3,,,,apache/singa,https://hub.docker.com/r/apache/singa,2019-06-04 04:32:52.195956+00:00,2.0,165.0,,,,,,,,,,,,,,,,\n595,DeepWalk,phanein/deepwalk,deepwalk,,,graph,,https://github.com/phanein/deepwalk,https://github.com/phanein/deepwalk,GPL-3.0,2014-08-23 03:38:20+00:00,2020-04-02 01:05:36+00:00,2020-04-02 01:05:35+00:00,752.0,29.0,78.0,2132.0,46.0,2018-04-29 21:05:18+00:00,1.0.3,4.0,DeepWalk - Deep Learning for Graphs.,41.0,34.0,10.0,18,https://pypi.org/project/deepwalk,2018-04-29 21:05:18+00:00,7.0,1046.0,1046.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n596,Mara Pipelines,mara/mara-pipelines,mara-pipelines,,,data-pipelines,,https://github.com/mara/mara-pipelines,https://github.com/mara/mara-pipelines,MIT,2018-03-31 20:37:22+00:00,2020-12-11 13:00:33+00:00,2020-07-31 19:24:31+00:00,76.0,6.0,11.0,1589.0,127.0,2020-07-31 19:31:29+00:00,3.1.1,7.0,\"A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow.\",7.0,7.0,15.0,18,https://pypi.org/project/mara-pipelines,2020-07-31 19:26:16+00:00,,37.0,37.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n597,NeuroNER,Franck-Dernoncourt/NeuroNER,pyneuroner,,,nlp,,https://github.com/Franck-Dernoncourt/NeuroNER,https://github.com/Franck-Dernoncourt/NeuroNER,MIT,2017-03-07 01:24:15+00:00,2020-11-13 18:07:48+00:00,2019-10-02 23:26:11+00:00,440.0,77.0,67.0,1517.0,132.0,2019-10-02 23:30:15+00:00,1.0.8,7.0,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,8.0,8.0,7.0,18,https://pypi.org/project/pyneuroner,2019-10-02 23:30:15+00:00,,118.0,118.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n598,Antialiased CNNs,adobe/antialiased-cnns,antialiased-cnns,,,pytorch-utils,['pytorch'],https://github.com/adobe/antialiased-cnns,https://github.com/adobe/antialiased-cnns,CC BY-NC-SA 4.0,2019-05-14 20:51:25+00:00,2020-10-23 22:45:52+00:00,2020-10-22 19:40:07+00:00,168.0,9.0,28.0,1313.0,238.0,2020-10-23 22:45:52+00:00,0.3,6.0,pip install antialiased-cnns to improve stability and accuracy.,,,6.0,18,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49+00:00,,429.0,429.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n599,Bounter,RaRe-Technologies/bounter,bounter,,,data-containers,,https://github.com/RaRe-Technologies/bounter,https://github.com/RaRe-Technologies/bounter,MIT,2017-07-18 07:24:15+00:00,2020-08-17 06:37:51+00:00,2020-08-16 11:55:16+00:00,48.0,11.0,9.0,887.0,152.0,2019-01-17 09:39:52+00:00,1.1.1,7.0,Efficient Counter that uses a limited (bounded) amount of memory regardless of data size.,34.0,20.0,8.0,18,https://pypi.org/project/bounter,2020-08-17 06:37:51+00:00,14.0,279.0,279.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n600,advertorch,BorealisAI/advertorch,advertorch,,,adversarial,['pytorch'],https://github.com/BorealisAI/advertorch,https://github.com/BorealisAI/advertorch,GPL-3.0,2018-11-29 22:17:33+00:00,2020-09-25 15:01:47+00:00,2020-06-15 01:16:18+00:00,118.0,13.0,28.0,773.0,270.0,2020-06-15 01:20:07+00:00,0.2.3,10.0,A Toolbox for Adversarial Robustness Research.,31.0,28.0,16.0,18,https://pypi.org/project/advertorch,2020-06-15 01:20:07+00:00,3.0,3975.0,3975.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n601,calamari,Calamari-OCR/calamari,calamari_ocr,,,ocr,,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,Apache-2.0,2018-03-20 15:22:29+00:00,2020-12-18 08:31:26+00:00,2020-11-07 10:36:48+00:00,161.0,20.0,132.0,745.0,259.0,2020-03-29 13:38:21+00:00,1.0.5,22.0,Line based ATR Engine based on OCRopy.,2.0,,17.0,18,https://pypi.org/project/calamari_ocr,2018-11-13 11:24:45+00:00,2.0,650.0,650.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n602,TF Recommenders,tensorflow/recommenders,tensorflow-recommenders,,,recommender-systems,['tensorflow'],https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01+00:00,2020-12-11 20:42:46+00:00,2020-12-11 20:42:39+00:00,64.0,22.0,39.0,654.0,,2020-11-19 18:15:43+00:00,0.3.0,5.0,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,9.0,9.0,16.0,18,https://pypi.org/project/tensorflow-recommenders,2020-11-19 18:15:43+00:00,,3254.0,3254.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n603,pytorch2keras,nerox8664/pytorch2keras,pytorch2keras,,,model-serialisation,,https://github.com/nerox8664/pytorch2keras,https://github.com/nerox8664/pytorch2keras,MIT,2017-11-16 20:21:43+00:00,2020-05-14 10:03:56+00:00,2020-05-14 10:03:04+00:00,109.0,39.0,65.0,641.0,277.0,2020-05-14 10:03:56+00:00,0.2.4,23.0,PyTorch to Keras model convertor.,16.0,15.0,11.0,18,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56+00:00,1.0,709.0,709.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n604,Saliency,PAIR-code/saliency,saliency,,,tensorflow-utils,['tensorflow'],https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35+00:00,2020-10-15 21:38:20+00:00,2020-10-01 22:54:59+00:00,130.0,11.0,10.0,611.0,64.0,2019-09-26 17:59:23+00:00,0.0.5,5.0,\"TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques.\",13.0,13.0,12.0,18,https://pypi.org/project/saliency,2019-09-26 17:59:23+00:00,,172.0,172.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n605,Torchbearer,pytorchbearer/torchbearer,torchbearer,,,ml-frameworks,['pytorch'],https://github.com/pytorchbearer/torchbearer,https://github.com/pytorchbearer/torchbearer,MIT,2018-03-12 16:30:42+00:00,2020-02-17 21:18:06+00:00,2020-02-17 21:18:01+00:00,62.0,8.0,237.0,580.0,427.0,2020-01-31 14:07:22+00:00,0.5.3,24.0,torchbearer: A model fitting library for PyTorch.,40.0,37.0,13.0,18,https://pypi.org/project/torchbearer,2020-01-31 14:05:56+00:00,3.0,488.0,488.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n606,vecstack,vecxoz/vecstack,vecstack,,,others,,https://github.com/vecxoz/vecstack,https://github.com/vecxoz/vecstack,MIT,2016-11-08 13:23:21+00:00,2020-09-14 08:31:07+00:00,2019-10-30 09:27:48+00:00,66.0,,34.0,569.0,189.0,2019-08-12 16:09:01+00:00,0.4.0,6.0,Python package for stacking (machine learning technique).,96.0,92.0,1.0,18,https://pypi.org/project/vecstack,2019-08-12 16:01:22+00:00,4.0,938.0,938.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n607,Dragonfly,dragonfly/dragonfly,dragonfly-opt,,,hyperopt,,https://github.com/dragonfly/dragonfly,https://github.com/dragonfly/dragonfly,MIT,2018-04-20 22:19:50+00:00,2020-07-26 17:44:31+00:00,2020-07-03 18:01:17+00:00,72.0,21.0,16.0,548.0,397.0,2020-07-03 18:05:12+00:00,0.1.6,9.0,An open source python library for scalable Bayesian optimisation.,2.0,,12.0,18,https://pypi.org/project/dragonfly-opt,2020-07-03 18:05:12+00:00,2.0,4278.0,4278.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n608,pyhsmm,mattjj/pyhsmm,pyhsmm,,,probabilistics,,https://github.com/mattjj/pyhsmm,https://github.com/mattjj/pyhsmm,MIT,2012-03-18 17:40:13+00:00,2020-09-29 20:58:26+00:00,2020-08-24 17:03:59+00:00,146.0,33.0,60.0,472.0,1426.0,2017-05-10 17:14:37+00:00,0.1.7,8.0,Bayesian inference in HSMMs and HMMs.,21.0,17.0,13.0,18,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37+00:00,4.0,72.0,72.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n609,PugSQL,mcfunley/pugsql,pugsql,,,db-clients,,https://github.com/mcfunley/pugsql,https://github.com/mcfunley/pugsql,Apache-2.0,2019-05-19 16:55:38+00:00,2020-12-15 20:56:53+00:00,2020-09-13 06:06:13+00:00,13.0,13.0,19.0,403.0,254.0,2020-09-03 22:44:19+00:00,0.2.2,23.0,A HugSQL-inspired database library for Python.,1.0,,10.0,18,https://pypi.org/project/pugsql,2020-09-13 05:35:42+00:00,1.0,1910.0,1910.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n610,What-If Tool,PAIR-code/what-if-tool,witwidget,,,interpretability,,https://github.com/PAIR-code/what-if-tool,https://github.com/PAIR-code/what-if-tool,Apache-2.0,2018-09-07 20:26:10+00:00,2020-11-09 15:54:11+00:00,2020-11-09 15:54:10+00:00,85.0,36.0,31.0,397.0,287.0,2020-06-28 14:23:49.040000+00:00,1.7.0,36.0,Source code/webpage/demos for the What-If Tool.,,,18.0,18,https://pypi.org/project/witwidget,2020-06-28 14:22:37+00:00,,2582.0,4659.0,,,,True,3,,,,,,,,,wit-widget,https://www.npmjs.com/package/wit-widget,2020-11-03 16:28:21.255000+00:00,,2077.0,,,,,,,,,,,\n611,Baal,ElementAI/baal,baal,,,probabilistics,,https://github.com/ElementAI/baal,https://github.com/ElementAI/baal,Apache-2.0,2019-09-30 20:16:26+00:00,2020-12-17 21:04:00+00:00,2020-12-11 19:04:35+00:00,24.0,12.0,22.0,299.0,92.0,2020-11-03 21:14:13+00:00,1.2.1,7.0,Using approximate bayesian posteriors in deep nets for active learning.,6.0,6.0,8.0,18,https://pypi.org/project/baal,2020-11-03 21:07:08+00:00,,250.0,250.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n612,sk-dist,Ibotta/sk-dist,sk-dist,,,distributed-ml,\"['sklearn', 'spark']\",https://github.com/Ibotta/sk-dist,https://github.com/Ibotta/sk-dist,Apache-2.0,2019-08-14 21:07:17+00:00,2020-12-03 22:36:35+00:00,2020-12-03 22:36:34+00:00,42.0,6.0,9.0,249.0,45.0,2020-05-14 22:20:14+00:00,0.1.9,12.0,Distributed scikit-learn meta-estimators in PySpark.,7.0,5.0,6.0,18,https://pypi.org/project/sk-dist,2020-05-14 22:20:14+00:00,2.0,4709.0,4709.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n613,Funsor,pyro-ppl/funsor,funsor,,,probabilistics,['pytorch'],https://github.com/pyro-ppl/funsor,https://github.com/pyro-ppl/funsor,Apache-2.0,2019-01-30 23:13:39+00:00,2020-12-17 16:33:10+00:00,2020-12-17 16:33:08+00:00,15.0,55.0,52.0,155.0,455.0,2020-10-15 15:54:49+00:00,0.3.0,5.0,Functional tensors for probabilistic programming.,7.0,7.0,9.0,18,https://pypi.org/project/funsor,2020-10-15 15:54:49+00:00,,234.0,234.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n614,BatchFlow,analysiscenter/batchflow,batchflow,,,data-pipelines,,https://github.com/analysiscenter/batchflow,https://github.com/analysiscenter/batchflow,Apache-2.0,2017-03-13 14:22:53+00:00,2020-12-15 15:07:03+00:00,2020-12-08 08:39:00+00:00,33.0,52.0,53.0,153.0,4298.0,2019-08-23 12:21:50+00:00,0.3.0,3.0,BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and..,,,28.0,18,https://pypi.org/project/batchflow,2019-08-23 12:21:50+00:00,,34.0,34.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n615,Glow,projectglow/glow,glow.py,,,medical-data,,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47+00:00,2020-12-18 02:48:20+00:00,2020-12-02 17:26:06+00:00,41.0,22.0,41.0,146.0,292.0,2020-09-10 18:38:52+00:00,0.6.0,9.0,An open-source toolkit for large-scale genomic analysis.,,,11.0,18,https://pypi.org/project/glow.py,2020-09-10 01:15:03+00:00,,1418.0,1418.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n616,DeepMind Lab,deepmind/lab,,,,reinforcement-learning,,https://github.com/deepmind/lab,https://github.com/deepmind/lab,GPL-2.0,2016-11-30 13:41:26+00:00,2020-12-07 11:25:29+00:00,2020-12-07 11:05:16+00:00,1286.0,37.0,151.0,6357.0,470.0,2020-12-07 11:26:33+00:00,release-2020-12-07,8.0,A customisable 3D platform for agent-based AI research.,,,7.0,17,,,,,,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n617,Spotlight,maciejkula/spotlight,,maciejkula/spotlight,,recommender-systems,['pytorch'],https://github.com/maciejkula/spotlight,https://github.com/maciejkula/spotlight,MIT,2017-06-25 18:52:19+00:00,2020-11-15 08:21:28+00:00,2020-02-09 21:03:48+00:00,366.0,64.0,48.0,2359.0,299.0,2019-09-08 10:19:53+00:00,0.1.6,7.0,Deep recommender models using PyTorch.,,,11.0,17,,,,,,https://anaconda.org/maciejkula/spotlight,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n618,PaddleDetection,PaddlePaddle/PaddleDetection,,,,image,['paddle'],https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14+00:00,2020-12-18 09:45:27+00:00,2020-12-18 04:01:36+00:00,573.0,273.0,799.0,2016.0,642.0,2019-11-27 05:15:38+00:00,0.1.0,1.0,Object detection and instance segmentation toolkit based on PaddlePaddle.,,,42.0,17,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n619,Advisor,tobegit3hub/advisor,advisor,,,hyperopt,,https://github.com/tobegit3hub/advisor,https://github.com/tobegit3hub/advisor,Apache-2.0,2017-09-14 03:50:33+00:00,2019-11-11 07:09:57.869705+00:00,2019-11-11 06:59:31+00:00,237.0,19.0,13.0,1324.0,165.0,2018-10-18 02:54:09+00:00,0.1.6,4.0,Open-source implementation of Google Vizier for hyper parameters tuning.,,,11.0,17,https://pypi.org/project/advisor,2018-10-18 02:54:09+00:00,,81.0,120.0,,,,False,3,,,,tobegit3hub/advisor,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705+00:00,,1533.0,,,,,,,,,,,,,,,,\n620,AdvBox,advboxes/AdvBox,advbox,,,adversarial,,https://github.com/advboxes/AdvBox,https://github.com/advboxes/AdvBox,Apache-2.0,2018-08-08 08:55:41+00:00,2020-11-13 17:59:22+00:00,2020-08-26 22:59:41+00:00,217.0,6.0,25.0,1014.0,374.0,2018-12-05 02:48:50+00:00,0.4.1,2.0,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,,,19.0,17,https://pypi.org/project/advbox,2018-12-05 02:48:50+00:00,,43.0,43.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n621,sklearn-porter,nok/sklearn-porter,sklearn-porter,,,model-serialisation,['sklearn'],https://github.com/nok/sklearn-porter,https://github.com/nok/sklearn-porter,MIT,2016-06-22 22:21:34+00:00,2020-10-19 07:28:00+00:00,2019-12-18 13:31:50+00:00,118.0,34.0,29.0,936.0,699.0,2019-04-15 22:13:06+00:00,0.7.4,20.0,\"Transpile trained scikit-learn estimators to C, Java, JavaScript and others.\",1.0,,11.0,17,https://pypi.org/project/sklearn-porter,2019-12-18 13:39:19+00:00,1.0,507.0,507.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n622,Torch Points 3D,nicolas-chaulet/torch-points3d,torch-points3d,,,image,['pytorch'],https://github.com/nicolas-chaulet/torch-points3d,https://github.com/nicolas-chaulet/torch-points3d,,2019-12-06 11:33:34+00:00,2020-12-18 10:33:50+00:00,2020-12-18 10:32:43+00:00,141.0,41.0,141.0,918.0,1561.0,2020-12-18 10:33:50+00:00,1.2.0,12.0,Pytorch framework for doing deep learning on point clouds.,2.0,2.0,18.0,17,https://pypi.org/project/torch-points3d,2020-08-04 09:08:49+00:00,,272.0,272.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n623,Backtesting.py,kernc/backtesting.py,backtesting,,,financial-data,,https://github.com/kernc/backtesting.py,https://github.com/kernc/backtesting.py,AGPL-3.0,2019-01-02 03:11:32+00:00,2020-12-17 10:25:59+00:00,2020-12-12 07:50:28+00:00,215.0,20.0,159.0,835.0,213.0,2017-07-22 02:00:06+00:00,0.0.1,1.0,Backtest trading strategies in Python.,,,8.0,17,https://pypi.org/project/backtesting,2017-07-22 02:00:06+00:00,,2812.0,2812.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n624,CrypTen,facebookresearch/CrypTen,crypten,,,privacy-ml,['pytorch'],https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31+00:00,2020-12-12 13:35:48+00:00,2020-12-09 19:56:33+00:00,87.0,15.0,31.0,670.0,225.0,2020-04-21 13:59:37+00:00,0.1,1.0,A framework for Privacy Preserving Machine Learning.,5.0,5.0,22.0,17,https://pypi.org/project/crypten,2020-02-05 18:53:03+00:00,,440.0,440.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n625,Hivemind,learning-at-home/hivemind,hivemind,,,distributed-ml,,https://github.com/learning-at-home/hivemind,https://github.com/learning-at-home/hivemind,MIT,2020-02-27 13:50:19+00:00,2020-12-14 16:32:08+00:00,2020-12-02 19:44:46+00:00,28.0,14.0,17.0,630.0,282.0,2020-08-28 05:52:35+00:00,0.8.2,5.0,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,2.0,1.0,8.0,17,https://pypi.org/project/hivemind,2020-08-28 16:00:22+00:00,1.0,43.0,43.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n626,SpeedTorch,Santosh-Gupta/SpeedTorch,SpeedTorch,,,gpu-utilities,['pytorch'],https://github.com/Santosh-Gupta/SpeedTorch,https://github.com/Santosh-Gupta/SpeedTorch,MIT,2019-09-07 18:57:52+00:00,2020-02-21 23:13:29+00:00,2020-02-21 23:13:28+00:00,35.0,3.0,2.0,590.0,170.0,2020-01-06 05:27:17+00:00,0.1.6,14.0,Library for faster pinned CPU - GPU transfer in Pytorch.,5.0,3.0,3.0,17,https://pypi.org/project/SpeedTorch,2020-01-06 05:27:17+00:00,2.0,152.0,152.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n627,ADTK,arundo/adtk,adtk,,,time-series-data,,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22+00:00,2020-04-29 19:54:40+00:00,2020-04-17 02:27:44+00:00,69.0,20.0,29.0,566.0,78.0,2020-04-17 02:18:00+00:00,0.6.2,13.0,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,,,11.0,17,https://pypi.org/project/adtk,2020-04-17 02:18:00+00:00,,36490.0,36490.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n628,AlphaPy,ScottfreeLLC/AlphaPy,alphapy,,,hyperopt,,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32+00:00,2020-09-06 12:58:26+00:00,2020-09-06 12:58:25+00:00,110.0,10.0,29.0,524.0,407.0,2020-08-29 18:48:20+00:00,2.5.0,24.0,\"Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost.\",2.0,2.0,3.0,17,https://pypi.org/project/alphapy,2020-08-25 23:33:42+00:00,,206.0,206.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n629,SKLL,EducationalTestingService/skll,skll,,,ml-experiments,['sklearn'],https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,BSD-1-Clause,2013-08-02 14:31:46+00:00,2020-12-04 04:12:31+00:00,2020-12-04 04:12:24+00:00,62.0,42.0,325.0,518.0,,2020-03-13 17:22:26+00:00,2.1,63.0,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,45.0,28.0,34.0,17,https://pypi.org/project/skll,2020-03-13 16:23:35+00:00,17.0,510.0,510.0,,,,False,3,10.0,,,,,,,,,,,,,,,,,,,,,,,\n630,Performer Pytorch,lucidrains/performer-pytorch,performer-pytorch,,,pytorch-utils,['pytorch'],https://github.com/lucidrains/performer-pytorch,https://github.com/lucidrains/performer-pytorch,MIT,2020-10-03 03:41:36+00:00,2020-12-14 17:10:37+00:00,2020-12-14 17:09:48+00:00,57.0,15.0,28.0,409.0,,2020-12-14 17:10:37+00:00,0.14.9,60.0,\"An implementation of Performer, a linear attention-based transformer, in Pytorch.\",6.0,6.0,4.0,17,https://pypi.org/project/performer-pytorch,2020-12-13 20:20:46+00:00,,1963.0,1963.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n631,DiCE,interpretml/DiCE,dice-ml,,,interpretability,\"['tensorflow', 'pytorch']\",https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02+00:00,2020-12-15 13:12:57+00:00,2020-12-15 13:12:50+00:00,62.0,10.0,18.0,406.0,288.0,2020-09-22 06:31:10+00:00,0.4,2.0,Generate Diverse Counterfactual Explanations for any machine learning model.,,,8.0,17,https://pypi.org/project/dice-ml,2020-09-22 06:57:33+00:00,,192.0,192.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n632,datmo,datmo/datmo,datmo,,,ml-experiments,,https://github.com/datmo/datmo,https://github.com/datmo/datmo,MIT,2017-11-03 05:46:43+00:00,2019-11-29 00:48:45+00:00,2019-11-29 00:48:44+00:00,27.0,42.0,149.0,331.0,1051.0,2018-12-07 06:01:12+00:00,0.0.40,41.0,Open source production model management tool for data scientists.,5.0,5.0,6.0,17,https://pypi.org/project/datmo,2018-12-07 06:16:42+00:00,,231.0,231.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n633,Camphr,PKSHATechnology-Research/camphr,camphr,,,nlp,['spacy'],https://github.com/PKSHATechnology-Research/camphr,https://github.com/PKSHATechnology-Research/camphr,Apache-2.0,2020-02-10 03:39:58+00:00,2020-12-18 08:08:22+00:00,2020-12-17 00:27:01+00:00,15.0,7.0,14.0,320.0,1069.0,2020-08-21 04:45:06+00:00,0.7.0,35.0,\"spaCy plugin for Transformers , Udify, ELmo, etc.\",,,7.0,17,https://pypi.org/project/camphr,2020-08-20 15:29:45+00:00,,573.0,573.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n634,tick,X-DataInitiative/tick,tick,,,time-series-data,,https://github.com/X-DataInitiative/tick,https://github.com/X-DataInitiative/tick,BSD-3-Clause,2016-12-01 10:59:08+00:00,2020-08-11 12:36:43+00:00,2020-06-15 12:01:36+00:00,73.0,55.0,159.0,317.0,413.0,2019-09-11 11:25:15+00:00,0.6,23.0,\"Module for statistical learning, with a particular emphasis on time-dependent modelling.\",29.0,28.0,16.0,17,https://pypi.org/project/tick,2020-05-24 22:01:17+00:00,1.0,797.0,800.0,,,,True,3,155.0,,,,,,,,,,,,,,,,,,,,,,,\n635,Case Recommender,caserec/CaseRecommender,caserecommender,,,recommender-systems,['sklearn'],https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39+00:00,2020-05-26 22:44:05+00:00,2020-05-26 22:44:05+00:00,66.0,6.0,16.0,305.0,201.0,2019-08-20 13:38:02+00:00,1.1.0,40.0,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems.,5.0,5.0,10.0,17,https://pypi.org/project/caserecommender,2019-08-20 13:42:28+00:00,,203.0,203.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n636,apricot,jmschrei/apricot,apricot-select,,,others,,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12+00:00,2020-09-30 20:53:48+00:00,2020-09-30 20:53:44+00:00,28.0,3.0,10.0,296.0,151.0,2020-09-28 07:19:15+00:00,0.6.0,13.0,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,9.0,9.0,2.0,17,https://pypi.org/project/apricot-select,2020-09-28 07:19:15+00:00,,458.0,458.0,,,,True,3,8.0,,,,,,,,,,,,,,,,,,,,,,,\n637,LOFO,aerdem4/lofo-importance,lofo-importance,,,interpretability,,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46+00:00,2020-07-02 11:49:54+00:00,2020-07-02 11:49:52+00:00,40.0,1.0,10.0,287.0,24.0,2020-07-02 11:44:57+00:00,0.2.6,9.0,Leave One Feature Out Importance.,3.0,3.0,3.0,17,https://pypi.org/project/lofo-importance,2020-07-02 11:44:57+00:00,,229.0,229.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n638,Orbit,uber/orbit,orbit-ml,,,probabilistics,,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37+00:00,2020-12-18 07:34:49+00:00,2020-11-25 22:33:07+00:00,12.0,22.0,140.0,287.0,571.0,2020-11-15 23:46:41+00:00,1.0.9,9.0,Bayesian forecasting with object-oriented design and probabilistic models under the hood.,2.0,2.0,5.0,17,https://pypi.org/project/orbit-ml,2020-11-15 23:46:41+00:00,,214.0,214.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n639,DeepGraph,deepgraph/deepgraph,deepgraph,conda-forge/deepgraph,,graph,['pandas'],https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45+00:00,2020-10-01 13:20:38+00:00,2020-10-01 13:17:00+00:00,33.0,7.0,4.0,226.0,160.0,2020-10-01 13:20:38+00:00,0.2.3,13.0,Analyze Data with Pandas-based Networks. Documentation:.,1.0,1.0,2.0,17,https://pypi.org/project/deepgraph,2020-10-01 13:18:38+00:00,,295.0,295.0,https://anaconda.org/conda-forge/deepgraph,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n640,ipyexperiments,stas00/ipyexperiments,ipyexperiments,,,gpu-utilities,['jupyter'],https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40+00:00,2020-11-17 04:11:19+00:00,2020-11-17 04:11:16+00:00,9.0,,4.0,121.0,177.0,2020-11-16 07:08:34+00:00,0.1.22,21.0,jupyter/ipython experiment containers for GPU and general RAM re-use.,4.0,2.0,3.0,17,https://pypi.org/project/ipyexperiments,2020-11-17 04:10:43+00:00,2.0,282.0,282.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n641,nvidia-ml-py3,nicolargo/nvidia-ml-py3,nvidia-ml-py3,,,gpu-utilities,,https://github.com/nicolargo/nvidia-ml-py3,https://github.com/nicolargo/nvidia-ml-py3,BSD-3-Clause,2017-06-03 07:47:03+00:00,2019-03-06 20:41:10+00:00,2019-03-06 20:41:09+00:00,13.0,2.0,,59.0,5.0,,,1.0,Python 3 Bindings for the NVIDIA Management Library.,2336.0,2324.0,2.0,17,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46+00:00,12.0,288354.0,288354.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n642,ReAgent,facebookresearch/ReAgent,,,,reinforcement-learning,['pytorch'],https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21+00:00,2020-12-18 00:17:36+00:00,2020-12-17 20:38:48+00:00,372.0,20.0,73.0,2713.0,1043.0,,,,\"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).\",,,82.0,16,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n643,LIT,PAIR-code/lit,lit-nlp,,,interpretability,,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26+00:00,2020-12-16 20:28:27+00:00,2020-11-17 00:43:10+00:00,219.0,25.0,27.0,2283.0,,2020-11-17 00:53:31+00:00,0.2,4.0,The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and..,,,10.0,16,https://pypi.org/project/lit-nlp,2020-11-17 00:52:37+00:00,,293.0,293.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n644,automl-gs,minimaxir/automl-gs,automl_gs,,,hyperopt,,https://github.com/minimaxir/automl-gs,https://github.com/minimaxir/automl-gs,MIT,2019-01-13 18:57:44+00:00,2019-10-22 11:20:40+00:00,2019-04-05 06:48:14+00:00,157.0,26.0,6.0,1704.0,102.0,2019-04-05 06:51:04+00:00,0.2.1,2.0,\"Provide an input CSV and a target field to predict, generate a model + code to run it.\",,,7.0,16,https://pypi.org/project/automl_gs,2019-04-05 06:47:54+00:00,,44.0,44.0,,,,False,3,20.0,,,,,,,,,,,,,,,,,,,,,,,\n645,BlazingSQL,BlazingDB/blazingsql,,blazingsql/blazingsql-protocol,,gpu-utilities,,https://github.com/BlazingDB/blazingsql,https://github.com/BlazingDB/blazingsql,Apache-2.0,2018-09-24 18:25:45+00:00,2020-12-17 21:54:39+00:00,2020-12-16 20:21:31+00:00,133.0,235.0,318.0,1362.0,,2020-12-14 17:43:48+00:00,0.17.0,15.0,\"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.\",,,39.0,16,,,,,,https://anaconda.org/blazingsql/blazingsql-protocol,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n646,Xcessiv,reiinakano/xcessiv,xcessiv,,,hyperopt,,https://github.com/reiinakano/xcessiv,https://github.com/reiinakano/xcessiv,Apache-2.0,2017-03-07 18:18:25+00:00,2018-06-06 22:23:37+00:00,2017-08-21 00:51:15+00:00,103.0,21.0,13.0,1256.0,316.0,2017-08-21 00:53:25+00:00,0.5.1,34.0,\"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.\",2.0,1.0,6.0,16,https://pypi.org/project/xcessiv,2017-08-21 00:49:41+00:00,1.0,113.0,113.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n647,Lambda Networks,lucidrains/lambda-networks,lambda-networks,,,pytorch-utils,['pytorch'],https://github.com/lucidrains/lambda-networks,https://github.com/lucidrains/lambda-networks,MIT,2020-10-08 19:01:15+00:00,2020-11-18 19:54:34+00:00,2020-11-18 19:54:30+00:00,125.0,8.0,15.0,1214.0,,2020-11-18 08:18:54+00:00,0.4.0,11.0,\"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.\",,,3.0,16,https://pypi.org/project/lambda-networks,2020-10-20 21:49:22+00:00,,442.0,442.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n648,River,online-ml/river,river,,,others,,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26+00:00,2020-12-16 22:24:07+00:00,2020-12-16 15:51:12+00:00,145.0,41.0,225.0,1201.0,2875.0,,,,Online machine learning in Python.,2.0,,55.0,16,https://pypi.org/project/river,2018-10-23 02:19:34.893000+00:00,2.0,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n649,HyperparameterHunter,HunterMcGushion/hyperparameter_hunter,hyperparameter-hunter,,,hyperopt,,https://github.com/HunterMcGushion/hyperparameter_hunter,https://github.com/HunterMcGushion/hyperparameter_hunter,MIT,2018-06-01 23:17:00+00:00,2020-10-21 17:39:45+00:00,2020-10-21 17:39:43+00:00,77.0,36.0,84.0,631.0,1095.0,2019-08-06 09:09:45+00:00,3.0.0,16.0,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries.,1.0,,3.0,16,https://pypi.org/project/hyperparameter-hunter,2019-08-06 06:01:58+00:00,1.0,118.0,126.0,,,,True,3,235.0,,,,,,,,,,,,,,,,,,,,,,,\n650,lazydata,rstojnic/lazydata,lazydata,,,db-clients,,https://github.com/rstojnic/lazydata,https://github.com/rstojnic/lazydata,Apache-2.0,2018-08-21 12:44:27+00:00,2019-02-13 18:15:09+00:00,2018-10-12 11:40:26+00:00,24.0,7.0,6.0,624.0,216.0,2018-09-18 21:24:41+00:00,1.0.19,19.0,Lazydata: Scalable data dependencies for Python projects.,7.0,7.0,6.0,16,https://pypi.org/project/lazydata,2018-09-18 21:25:30+00:00,,58.0,58.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n651,cuGraph,rapidsai/cugraph,cugraph,,,gpu-utilities,,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11+00:00,2020-12-18 03:33:12+00:00,2020-12-17 22:52:29+00:00,129.0,91.0,445.0,592.0,,2020-12-10 21:54:44+00:00,0.17.0,4.0,cuGraph - RAPIDS Graph Analytics Library.,,,52.0,16,https://pypi.org/project/cugraph,2019-04-04 15:31:02+00:00,,62.0,62.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n652,ThunderGBM,Xtra-Computing/thundergbm,thundergbm,,,ml-frameworks,,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08+00:00,2020-12-15 05:42:06+00:00,2020-12-15 05:42:05+00:00,70.0,17.0,26.0,570.0,604.0,2020-05-01 23:16:25+00:00,0.3.16,24.0,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,,,10.0,16,https://pypi.org/project/thundergbm,2020-05-01 23:16:25+00:00,,128.0,128.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n653,XAI,EthicalML/xai,xai,,,interpretability,,https://github.com/EthicalML/xai,https://github.com/EthicalML/xai,MIT,2019-01-11 20:00:09+00:00,2019-10-05 10:34:58+00:00,2019-10-05 10:34:50+00:00,79.0,4.0,2.0,542.0,83.0,2019-01-13 21:24:01+00:00,0.0.4,4.0,XAI - An eXplainability toolbox for machine learning.,14.0,8.0,2.0,16,https://pypi.org/project/xai,2019-01-13 21:24:01+00:00,6.0,182.0,182.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n654,FlashTorch,MisaOgura/flashtorch,flashtorch,,,interpretability,['pytorch'],https://github.com/MisaOgura/flashtorch,https://github.com/MisaOgura/flashtorch,MIT,2019-03-22 13:00:57+00:00,2020-12-14 23:09:26+00:00,2020-05-29 14:37:29+00:00,65.0,6.0,21.0,515.0,126.0,2020-05-29 14:39:38+00:00,0.1.3,12.0,Visualization toolkit for neural networks in PyTorch! Demo --.,5.0,5.0,2.0,16,https://pypi.org/project/flashtorch,2020-05-29 14:38:32+00:00,,203.0,203.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n655,RLax,deepmind/rlax,rlax,,,reinforcement-learning,['jax'],https://github.com/deepmind/rlax,https://github.com/deepmind/rlax,Apache-2.0,2020-02-18 07:14:59+00:00,2020-12-04 16:29:56+00:00,2020-12-04 16:29:20+00:00,35.0,3.0,3.0,511.0,100.0,2020-02-19 23:01:30+00:00,0.1.0,3.0,A library of reinforcement learning building blocks in JAX.,8.0,8.0,10.0,16,https://pypi.org/project/rlax,2020-02-19 23:01:30+00:00,,136.0,136.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n656,Auto Tune Models,HDI-Project/ATM,atm,,,hyperopt,,https://github.com/HDI-Project/ATM,https://github.com/HDI-Project/ATM,MIT,2016-10-14 18:03:00+00:00,2020-02-21 17:44:07+00:00,2020-02-21 17:40:58+00:00,122.0,17.0,71.0,501.0,775.0,2019-07-30 09:28:26+00:00,0.2.2,13.0,\"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).\",6.0,6.0,16.0,16,https://pypi.org/project/atm,2019-06-24 13:31:28+00:00,,145.0,145.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n657,OpenRec,ylongqi/openrec,openrec,,,recommender-systems,,https://github.com/ylongqi/openrec,https://github.com/ylongqi/openrec,Apache-2.0,2017-11-29 16:04:40+00:00,2020-11-13 17:47:17+00:00,2020-02-19 07:57:17+00:00,80.0,4.0,12.0,349.0,213.0,2018-11-13 17:55:55+00:00,0.2.5,11.0,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms.,2.0,1.0,10.0,16,https://pypi.org/project/openrec,2019-09-11 20:21:21+00:00,1.0,63.0,63.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n658,pdvega,altair-viz/pdvega,pdvega,,,data-viz,,https://github.com/altair-viz/pdvega,https://github.com/altair-viz/pdvega,MIT,2018-01-11 21:30:27+00:00,2019-03-29 16:09:14+00:00,2019-03-29 16:09:13+00:00,28.0,16.0,10.0,339.0,177.0,,,1.0,Interactive plotting for Pandas using Vega-Lite.,47.0,45.0,9.0,16,https://pypi.org/project/pdvega,2018-02-01 04:56:43+00:00,2.0,148.0,148.0,,,,False,3,,,,,,,,,,,,,,-1.0,,,,,,,,,,\n659,VizSeq,facebookresearch/vizseq,vizseq,,,nlp,,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38+00:00,2020-12-13 18:55:58+00:00,2020-12-13 18:55:54+00:00,39.0,7.0,8.0,294.0,43.0,2020-08-07 01:13:52+00:00,0.1.15,16.0,\"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).\",1.0,1.0,3.0,16,https://pypi.org/project/vizseq,2020-08-07 01:13:52+00:00,,132.0,132.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n660,Headliner,as-ideas/headliner,headliner,,,nlp,,https://github.com/as-ideas/headliner,https://github.com/as-ideas/headliner,MIT,2019-09-30 11:33:28+00:00,2020-02-14 09:07:46+00:00,2020-02-14 09:03:27+00:00,38.0,1.0,13.0,217.0,276.0,2020-01-24 09:06:29+00:00,1.0.2,30.0,Easy training and deployment of seq2seq models.,3.0,2.0,2.0,16,https://pypi.org/project/headliner,2020-01-24 09:06:29+00:00,1.0,460.0,460.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n661,Transistor,bomquote/transistor,transistor,,,web-scraping,,https://github.com/bomquote/transistor,https://github.com/bomquote/transistor,MIT,2018-11-12 15:25:51+00:00,2020-12-12 22:37:59+00:00,2020-08-16 21:52:05+00:00,17.0,60.0,3.0,206.0,198.0,2020-08-03 20:20:32+00:00,0.2.4,7.0,\"Transistor, a Python web scraping framework for intelligent use cases.\",,,3.0,16,https://pypi.org/project/transistor,2020-08-03 20:12:39+00:00,,122.0,124.0,,,,True,3,52.0,,,,,,,,,,,,,,,,,,,,,,,\n662,Muda,bmcfee/muda,muda,,,audio,,https://github.com/bmcfee/muda,https://github.com/bmcfee/muda,ISC,2014-11-07 21:21:22+00:00,2020-09-01 19:21:10+00:00,2020-07-20 20:00:17+00:00,30.0,5.0,44.0,172.0,291.0,2019-11-15 15:46:21+00:00,0.4.1,11.0,A library for augmenting annotated audio data.,8.0,7.0,6.0,16,https://pypi.org/project/muda,2019-11-15 15:46:21+00:00,1.0,120.0,120.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n663,ExplainX.ai,explainX/explainx,explainx,,,interpretability,,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15+00:00,2020-12-11 21:27:38+00:00,2020-12-08 21:08:01+00:00,26.0,7.0,12.0,148.0,174.0,2020-10-23 17:30:47+00:00,2.403,53.0,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,,,4.0,16,https://pypi.org/project/explainx,2020-12-07 22:26:30+00:00,,1011.0,1011.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n664,Larq Compute Engine,larq/compute-engine,larq-compute-engine,,,model-serialisation,,https://github.com/larq/compute-engine,https://github.com/larq/compute-engine,Apache-2.0,2019-08-29 15:02:43+00:00,2020-12-17 15:03:12+00:00,2020-12-17 15:03:10+00:00,18.0,21.0,86.0,119.0,438.0,2020-09-21 13:31:57+00:00,0.4.3,11.0,Highly optimized inference engine for Binarized Neural Networks.,1.0,1.0,13.0,16,https://pypi.org/project/larq-compute-engine,2020-09-21 17:41:53+00:00,,796.0,808.0,,,,False,3,120.0,,,,,,,,,,,,,,,,,,,,,,,\n665,dabl,amueller/dabl,dabl,,,others,['sklearn'],https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49+00:00,2020-12-11 22:51:44+00:00,2020-07-08 16:14:41+00:00,7.0,1.0,,60.0,252.0,2020-02-04 18:25:16+00:00,0.1.9,10.0,Data Analysis Baseline Library.,,,18.0,16,https://pypi.org/project/dabl,2020-09-25 18:14:54+00:00,,1881.0,1881.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n666,Euler,alibaba/euler,euler-gl,,,graph,['tensorflow'],https://github.com/alibaba/euler,https://github.com/alibaba/euler,Apache-2.0,2019-01-10 06:32:32+00:00,2020-07-29 05:53:02+00:00,2020-07-29 05:53:01+00:00,497.0,199.0,97.0,2424.0,8.0,2020-07-07 02:24:18+00:00,2.0.0,2.0,A distributed graph deep learning framework.,,,5.0,15,https://pypi.org/project/euler-gl,2019-04-10 01:53:45+00:00,,13.0,13.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n667,GraphEmbedding,shenweichen/GraphEmbedding,,,,graph,['sklearn'],https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20+00:00,2020-10-18 09:32:47+00:00,2020-10-18 09:32:47+00:00,526.0,26.0,13.0,1660.0,28.0,,,,Implementation and experiments of graph embedding algorithms.,7.0,7.0,6.0,15,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n668,Botflow,kkyon/botflow,botflow,,,data-pipelines,,https://github.com/kkyon/botflow,https://github.com/kkyon/botflow,BSD-3-Clause,2018-08-20 03:13:31+00:00,2019-05-23 14:40:51+00:00,2019-05-23 14:40:50+00:00,97.0,2.0,2.0,1150.0,192.0,,,5.0,\"Python Fast Dataflow programming framework for Data pipeline work( Web Crawler,Machine Learning,Quantitative..\",1.0,1.0,11.0,15,https://pypi.org/project/botflow,2018-09-14 14:38:32+00:00,,56.0,56.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n669,Translate,pytorch/translate,pytorch-translate,,,nlp,['pytorch'],https://github.com/pytorch/translate,https://github.com/pytorch/translate,BSD-3-Clause,2018-04-24 16:44:04+00:00,2020-12-02 14:37:37+00:00,2020-11-16 20:42:29+00:00,156.0,66.0,27.0,663.0,802.0,,,1.0,Translate - a PyTorch Language Library.,,,83.0,15,https://pypi.org/project/pytorch-translate,2018-05-01 19:59:40+00:00,,15.0,15.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n670,SuperSQLite,plasticityai/supersqlite,supersqlite,,,db-clients,,https://github.com/plasticityai/supersqlite,https://github.com/plasticityai/supersqlite,MIT,2018-11-09 08:20:26+00:00,2020-05-09 09:06:06+00:00,2019-08-27 13:16:09+00:00,18.0,3.0,1.0,653.0,221.0,2018-11-22 02:36:13+00:00,0.0.78,56.0,A supercharged SQLite library for Python.,3.0,3.0,2.0,15,https://pypi.org/project/supersqlite,2018-11-19 04:01:04+00:00,,303.0,303.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n671,baikal,alegonz/baikal,baikal,conda-forge/cython-blis,,others,,https://github.com/alegonz/baikal,https://github.com/alegonz/baikal,BSD-3-Clause,2019-01-21 12:59:02+00:00,2020-11-15 13:41:03+00:00,2020-11-15 13:39:20+00:00,28.0,4.0,11.0,569.0,393.0,2020-05-17 12:40:17+00:00,0.4.2,7.0,A graph-based functional API for building complex scikit-learn pipelines.,2.0,2.0,1.0,15,https://pypi.org/project/baikal,2020-11-15 13:40:18+00:00,,69.0,69.0,https://anaconda.org/conda-forge/cython-blis,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n672,PandaPy,firmai/pandapy,pandapy,,,data-containers,['pandas'],https://github.com/firmai/pandapy,https://github.com/firmai/pandapy,MIT,2020-01-15 18:21:23+00:00,2020-11-12 16:18:45+00:00,2020-11-12 16:18:44+00:00,43.0,2.0,1.0,457.0,83.0,2020-11-12 16:12:54+00:00,zen,22.0,PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai).,1.0,1.0,3.0,15,https://pypi.org/project/pandapy,2020-01-25 23:10:32+00:00,,95.0,95.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n673,cuSignal,rapidsai/cusignal,,,,gpu-utilities,,https://github.com/rapidsai/cusignal,https://github.com/rapidsai/cusignal,Apache-2.0,2019-08-22 14:27:27+00:00,2020-12-15 18:46:05+00:00,2020-12-15 18:46:03+00:00,56.0,17.0,80.0,427.0,,2020-12-10 21:29:50+00:00,0.17.0,3.0,GPU accelerated signal processing.,,,27.0,15,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n674,Tensor Sensor,parrt/tensor-sensor,tensor-sensor,,,pytorch-utils,['pytorch'],https://github.com/parrt/tensor-sensor,https://github.com/parrt/tensor-sensor,MIT,2020-08-28 22:54:04+00:00,2020-12-03 20:46:15+00:00,2020-12-03 20:45:45+00:00,22.0,4.0,12.0,399.0,148.0,2020-12-03 20:46:15+00:00,0.1.1,33.0,The goal of this library is to generate more helpful exception messages for numpy/pytorch matrix algebra expressions.,,,2.0,15,https://pypi.org/project/tensor-sensor,2020-12-03 20:40:56+00:00,,451.0,451.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n675,TF Compression,tensorflow/compression,tensorflow-compression,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19+00:00,2020-12-17 23:16:37+00:00,2020-12-17 23:14:56+00:00,139.0,3.0,50.0,398.0,131.0,2019-11-20 01:04:19+00:00,1.3,7.0,Data compression in TensorFlow.,1.0,,9.0,15,https://pypi.org/project/tensorflow-compression,2020-12-04 19:23:50+00:00,1.0,470.0,470.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n676,Pywick,achaiah/pywick,pywick,,,pytorch-utils,['pytorch'],https://github.com/achaiah/pywick,https://github.com/achaiah/pywick,MIT,2019-03-25 15:42:47+00:00,2020-11-17 16:44:11+00:00,2020-09-24 19:20:06+00:00,34.0,2.0,9.0,311.0,109.0,2020-01-20 22:14:21+00:00,0.5.6,6.0,High-level batteries-included neural network training library for Pytorch.,2.0,2.0,4.0,15,https://pypi.org/project/pywick,2020-01-20 22:14:21+00:00,,140.0,140.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n677,Parfit,jmcarpenter2/parfit,parfit,,,hyperopt,['sklearn'],https://github.com/jmcarpenter2/parfit,https://github.com/jmcarpenter2/parfit,MIT,2017-11-22 20:17:51+00:00,2020-04-04 19:26:44+00:00,2020-04-04 19:26:37+00:00,26.0,5.0,5.0,199.0,127.0,,,23.0,\"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..\",6.0,6.0,2.0,15,https://pypi.org/project/parfit,2018-10-11 22:03:16+00:00,,4554.0,4554.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n678,NeuralQA,victordibia/neuralqa,neuralqa,,,nlp,,https://github.com/victordibia/neuralqa,https://github.com/victordibia/neuralqa,MIT,2020-05-19 03:55:56+00:00,2020-12-16 17:42:12+00:00,2020-12-16 17:41:37+00:00,23.0,18.0,8.0,181.0,312.0,,,26.0,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,1.0,1.0,3.0,15,https://pypi.org/project/neuralqa,2020-07-29 16:39:37+00:00,,119.0,119.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n679,steppy,minerva-ml/steppy,steppy,,,ml-experiments,,https://github.com/minerva-ml/steppy,https://github.com/minerva-ml/steppy,MIT,2018-01-15 09:40:49+00:00,2018-11-23 09:49:59+00:00,2018-11-23 09:47:34+00:00,31.0,16.0,50.0,123.0,69.0,2018-11-23 09:49:59+00:00,0.1.16,16.0,\"Lightweight, Python library for fast and reproducible experimentation.\",40.0,35.0,5.0,15,https://pypi.org/project/steppy,2018-11-23 09:49:59+00:00,5.0,86.0,86.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n680,ModelChimp,ModelChimp/modelchimp,modelchimp,,,ml-experiments,,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03+00:00,2020-12-17 23:19:34+00:00,2019-12-06 08:58:55+00:00,11.0,4.0,10.0,118.0,357.0,2019-04-09 10:43:15+00:00,0.4.0,37.0,Experiment tracking for machine and deep learning projects.,,,2.0,15,https://pypi.org/project/modelchimp,2019-04-09 10:41:20+00:00,,1406.0,1431.0,,,,False,3,,,,modelchimp/modelchimp-server,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793+00:00,,634.0,,,,,,,,,,,,,,,,\n681,nptsne,biovault/nptsne,nptsne,,,data-viz,,https://github.com/biovault/nptsne,https://github.com/biovault/nptsne,Apache-2.0,2019-06-28 08:40:25+00:00,2020-11-16 13:56:05+00:00,2020-11-13 16:38:47+00:00,2.0,7.0,2.0,24.0,834.0,2020-09-10 23:54:14+00:00,1.1.0,2.0,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,2.0,2.0,3.0,15,https://pypi.org/project/nptsne,2020-09-10 23:54:14+00:00,,165.0,165.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n682,DE⫶TR,facebookresearch/detr,,,,image,['pytorch'],https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52+00:00,2020-12-04 20:03:39+00:00,2020-11-15 16:03:45+00:00,790.0,56.0,195.0,5617.0,41.0,2020-06-29 16:41:01+00:00,0.2,1.0,End-to-End Object Detection with Transformers.,,,19.0,14,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n683,PySlowFast,facebookresearch/SlowFast,,,,image,['pytorch'],https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26+00:00,2020-12-17 20:29:47+00:00,2020-12-17 20:29:39+00:00,577.0,151.0,182.0,3183.0,93.0,,,,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,2.0,2.0,18.0,14,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n684,ENAS,carpedm20/ENAS-pytorch,,,,hyperopt,,https://github.com/carpedm20/ENAS-pytorch,https://github.com/carpedm20/ENAS-pytorch,Apache-2.0,2018-02-15 04:54:37+00:00,2020-12-09 18:13:03+00:00,2020-06-16 07:23:32+00:00,436.0,37.0,7.0,2355.0,53.0,,,,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,,,6.0,14,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n685,GraphSAGE,williamleif/GraphSAGE,,,,graph,['tensorflow'],https://github.com/williamleif/GraphSAGE,https://github.com/williamleif/GraphSAGE,MIT,2017-05-29 15:36:22+00:00,2020-11-13 17:49:54+00:00,2018-09-19 19:27:00+00:00,589.0,77.0,58.0,2039.0,59.0,,,,Representation learning on large graphs using stochastic graph convolutions.,,,9.0,14,,,,,,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n686,ZhuSuan,thu-ml/zhusuan,,,,probabilistics,['tensorflow'],https://github.com/thu-ml/zhusuan,https://github.com/thu-ml/zhusuan,MIT,2016-07-18 13:31:38+00:00,2020-01-09 14:51:27+00:00,2019-08-05 10:00:04+00:00,371.0,8.0,53.0,1990.0,439.0,,,,\"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.\",,,20.0,14,,,,,,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n687,lazynlp,chiphuyen/lazynlp,,,,web-scraping,,https://github.com/chiphuyen/lazynlp,https://github.com/chiphuyen/lazynlp,MIT,2019-02-27 23:23:19+00:00,2020-11-11 12:16:30+00:00,2019-10-07 16:52:30+00:00,281.0,5.0,3.0,1881.0,14.0,2019-03-02 17:38:27+00:00,1.0.0,1.0,Library to scrape and clean web pages to create massive datasets.,,,4.0,14,,,,,,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n688,OpenNE,thunlp/OpenNE,,,,graph,['tensorflow'],https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20+00:00,2020-11-30 14:02:23+00:00,2019-08-12 10:56:27+00:00,441.0,50.0,81.0,1381.0,98.0,,,,An Open-Source Package for Network Embedding (NE).,,,10.0,14,,,,,,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n689,Higher,facebookresearch/higher,,,,pytorch-utils,['pytorch'],https://github.com/facebookresearch/higher,https://github.com/facebookresearch/higher,Apache-2.0,2019-09-06 18:58:36+00:00,2020-11-23 06:15:24+00:00,2020-10-28 16:53:07+00:00,71.0,22.0,46.0,1001.0,28.0,,,,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,25.0,25.0,6.0,14,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n690,MedicalTorch,perone/medicaltorch,medicaltorch,,,medical-data,['pytorch'],https://github.com/perone/medicaltorch,https://github.com/perone/medicaltorch,Apache-2.0,2018-02-27 02:50:07+00:00,2020-09-30 13:21:57+00:00,2019-08-15 10:03:51+00:00,106.0,14.0,9.0,700.0,55.0,2018-11-24 00:33:11+00:00,0.2,2.0,A medical imaging framework for Pytorch.,9.0,9.0,7.0,14,https://pypi.org/project/medicaltorch,2018-11-24 00:29:36+00:00,,71.0,71.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n691,torchsde,google-research/torchsde,,,,pytorch-utils,['pytorch'],https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11+00:00,2020-12-14 10:23:06+00:00,2020-10-30 16:15:49+00:00,51.0,6.0,25.0,617.0,137.0,2020-10-22 16:12:07+00:00,0.2.1,3.0,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,,,4.0,14,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n692,Anchor,marcotcr/anchor,anchor_exp,,,interpretability,,https://github.com/marcotcr/anchor,https://github.com/marcotcr/anchor,BSD-2-Clause,2018-02-02 23:38:50+00:00,2020-09-10 17:49:26+00:00,2020-09-10 17:48:28+00:00,86.0,7.0,43.0,607.0,39.0,,,8.0,Code for High-Precision Model-Agnostic Explanations paper.,,,8.0,14,https://pypi.org/project/anchor_exp,2020-06-26 20:56:50+00:00,,646.0,646.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n693,Adversary,airbnb/artificial-adversary,Adversary,,,adversarial,,https://github.com/airbnb/artificial-adversary,https://github.com/airbnb/artificial-adversary,MIT,2018-08-08 04:42:11+00:00,2018-10-14 05:34:44+00:00,2018-08-29 15:31:30+00:00,47.0,7.0,,339.0,15.0,2018-08-29 15:14:41+00:00,1.1.1,3.0,Tool to generate adversarial text examples and test machine learning models against them.,6.0,6.0,5.0,14,https://pypi.org/project/Adversary,2018-08-29 15:14:41+00:00,,47.0,47.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n694,Tez,abhishekkrthakur/tez,tez,,,pytorch-utils,['pytorch'],https://github.com/abhishekkrthakur/tez,https://github.com/abhishekkrthakur/tez,Apache-2.0,2020-11-13 10:19:22+00:00,2020-12-13 08:48:54+00:00,2020-12-13 08:48:48+00:00,30.0,5.0,2.0,320.0,,2020-12-11 14:00:44+00:00,0.0.7,6.0,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,,,1.0,14,https://pypi.org/project/tez,2020-12-11 14:00:44+00:00,,937.0,937.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n695,TransferNLP,feedly/transfer-nlp,transfer-nlp,,,nlp,['pytorch'],https://github.com/feedly/transfer-nlp,https://github.com/feedly/transfer-nlp,MIT,2019-03-12 20:00:31+00:00,2020-05-28 19:00:02+00:00,2020-05-28 17:31:53+00:00,18.0,4.0,19.0,285.0,465.0,2020-05-28 19:00:02+00:00,0.1.6,8.0,NLP library designed for reproducible experimentation management.,,,7.0,14,https://pypi.org/project/transfer-nlp,2020-05-28 19:00:02+00:00,,118.0,118.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n696,Auptimizer,LGE-ARC-AdvancedAI/auptimizer,auptimizer,,,hyperopt,,https://github.com/LGE-ARC-AdvancedAI/auptimizer,https://github.com/LGE-ARC-AdvancedAI/auptimizer,GPL-3.0,2019-09-12 01:08:37+00:00,2020-12-04 01:00:53+00:00,2020-12-04 00:51:11+00:00,20.0,,3.0,152.0,68.0,2020-11-19 05:14:22+00:00,1.4,6.0,An automatic ML model optimization tool.,,,11.0,14,https://pypi.org/project/auptimizer,2020-11-19 00:23:49+00:00,,158.0,158.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n697,nx-altair,Zsailer/nx_altair,nx-altair,,,data-viz,['jupyter'],https://github.com/Zsailer/nx_altair,https://github.com/Zsailer/nx_altair,MIT,2018-05-13 00:10:12+00:00,2020-09-30 12:01:08+00:00,2020-06-02 21:10:26+00:00,19.0,4.0,4.0,150.0,51.0,2020-06-02 21:11:12+00:00,0.1.6,8.0,Draw interactive NetworkX graphs with Altair.,2.0,,3.0,14,https://pypi.org/project/nx-altair,2020-06-02 21:11:12+00:00,2.0,233.0,233.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n698,DeepNeuro,QTIM-Lab/DeepNeuro,deepneuro,,,medical-data,,https://github.com/QTIM-Lab/DeepNeuro,https://github.com/QTIM-Lab/DeepNeuro,MIT,2017-06-01 19:36:34+00:00,2020-06-24 13:00:15+00:00,2020-06-24 13:00:14+00:00,28.0,25.0,16.0,96.0,285.0,2019-04-11 16:57:02+00:00,0.2.2,5.0,A deep learning python package for neuroimaging data. Made by:.,1.0,1.0,6.0,14,https://pypi.org/project/deepneuro,2019-04-11 16:57:02+00:00,,57.0,57.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n699,Hypermax,electricbrainio/hypermax,hypermax,,,hyperopt,,https://github.com/electricbrainio/hypermax,https://github.com/electricbrainio/hypermax,BSD-3-Clause,2018-07-27 18:43:01+00:00,2020-08-02 18:08:50+00:00,2020-08-02 18:08:46+00:00,14.0,3.0,1.0,94.0,207.0,2019-10-23 15:40:12+00:00,0.5.1,11.0,\"Better, faster hyper-parameter optimization.\",4.0,4.0,9.0,14,https://pypi.org/project/hypermax,2019-10-23 15:40:12+00:00,,64.0,64.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n700,StarSpace,facebookresearch/StarSpace,,,,ml-frameworks,,https://github.com/facebookresearch/StarSpace,https://github.com/facebookresearch/StarSpace,MIT,2017-06-28 17:50:18+00:00,2020-05-18 03:40:57+00:00,2019-12-13 19:03:25+00:00,475.0,45.0,146.0,3502.0,138.0,,,,\"Learning embeddings for classification, retrieval and ranking.\",,,17.0,13,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n701,OpenKE,thunlp/OpenKE,,,,graph,,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,MIT,2017-10-08 11:20:23+00:00,2020-04-08 11:00:38+00:00,2020-04-08 11:00:32+00:00,707.0,45.0,222.0,2273.0,97.0,,,,An Open-Source Package for Knowledge Embedding (KE).,,,10.0,13,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n702,pycls,facebookresearch/pycls,,,,image,['pytorch'],https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17+00:00,2020-11-29 17:48:12+00:00,2020-11-20 22:19:36+00:00,143.0,10.0,44.0,1388.0,66.0,2020-04-15 19:33:22+00:00,0.1,1.0,\"Codebase for Image Classification Research, written in PyTorch.\",1.0,1.0,7.0,13,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n703,Medical Detection Toolkit,MIC-DKFZ/medicaldetectiontoolkit,,,,medical-data,['pytorch'],https://github.com/MIC-DKFZ/medicaldetectiontoolkit,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,Apache-2.0,2018-10-12 12:34:57+00:00,2020-10-14 11:17:37+00:00,2020-04-18 12:52:08+00:00,226.0,27.0,85.0,873.0,36.0,,,,\"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..\",,,3.0,13,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n704,Torch-Struct,harvardnlp/pytorch-struct,,,,pytorch-utils,['pytorch'],https://github.com/harvardnlp/pytorch-struct,https://github.com/harvardnlp/pytorch-struct,MIT,2019-08-26 19:34:30+00:00,2020-12-05 20:47:02+00:00,2020-07-30 15:58:25+00:00,67.0,13.0,20.0,863.0,244.0,2019-11-25 04:08:05+00:00,0.4,1.0,\"Fast, general, and tested differentiable structured prediction in PyTorch.\",,,10.0,13,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n705,Julius,adefossez/julius,julius,,,audio,['pytorch'],https://github.com/adefossez/julius,https://github.com/adefossez/julius,MIT,2020-10-26 10:54:21+00:00,2020-12-10 12:50:51+00:00,2020-12-10 12:50:47+00:00,6.0,,3.0,157.0,,2020-11-25 18:04:38+00:00,0.2.0,4.0,Fast PyTorch based DSP for audio and 1D signals.,1.0,1.0,2.0,13,https://pypi.org/project/julius,2020-11-25 18:04:38+00:00,,209.0,209.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n706,PySparNN,facebookresearch/pysparnn,,,,nn-search,,https://github.com/facebookresearch/pysparnn,https://github.com/facebookresearch/pysparnn,BSD-3-Clause,2016-03-28 20:43:42+00:00,2020-10-02 06:01:01+00:00,2018-01-31 16:50:23+00:00,141.0,11.0,13.0,836.0,147.0,,,,Approximate Nearest Neighbor Search for Sparse Data in Python!.,,,5.0,12,,,,,,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n707,Attribution Priors,suinleelab/attributionpriors,attributionpriors,,,interpretability,\"['tensorflow', 'pytorch']\",https://github.com/suinleelab/attributionpriors,https://github.com/suinleelab/attributionpriors,MIT,2019-06-24 23:54:24+00:00,2020-09-12 05:57:02+00:00,2020-09-12 05:56:51+00:00,3.0,1.0,3.0,71.0,64.0,2019-07-18 21:13:37+00:00,0.1.3,4.0,Tools for training explainable models using attribution priors.,,,6.0,12,https://pypi.org/project/attributionpriors,2019-10-31 18:03:05+00:00,,63.0,63.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n708,LazyCluster,ml-tooling/lazycluster,lazycluster,,,distributed-ml,,https://github.com/ml-tooling/lazycluster,https://github.com/ml-tooling/lazycluster,Apache-2.0,2019-08-07 08:05:13+00:00,2020-12-14 15:24:54+00:00,2020-12-14 15:24:53+00:00,4.0,,,30.0,,2020-12-14 15:25:59+00:00,0.2.4,5.0,Distributed machine learning made simple.,2.0,2.0,2.0,12,https://pypi.org/project/lazycluster,2020-12-14 14:49:33+00:00,,96.0,96.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n709,MedicalNet,Tencent/MedicalNet,,,,medical-data,,https://github.com/Tencent/MedicalNet,https://github.com/Tencent/MedicalNet,MIT,2019-07-17 09:53:10+00:00,2020-08-27 13:37:27+00:00,2020-08-27 13:37:26+00:00,263.0,40.0,14.0,1021.0,26.0,,,,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,,,1.0,11,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n710,Devol,joeddav/devol,,,,hyperopt,,https://github.com/joeddav/devol,https://github.com/joeddav/devol,MIT,2017-02-10 03:07:54+00:00,2020-07-05 21:56:59+00:00,2020-07-05 21:56:58+00:00,109.0,7.0,20.0,924.0,116.0,,,,Genetic neural architecture search with Keras.,,,18.0,11,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n711,NeoML,neoml-lib/neoml,,,,ml-frameworks,,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,,2020-06-14 17:37:36+00:00,2020-12-18 09:24:17+00:00,2020-12-18 09:24:02+00:00,76.0,16.0,13.0,546.0,159.0,2020-06-14 17:44:03+00:00,NeoML-master_1.0.1.0,1.0,Machine learning framework for both deep learning and traditional algorithms.,,,15.0,11,,,,,,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n712,ONNX-T5,abelriboulot/onnxt5,onnxt5,,,nlp,,https://github.com/abelriboulot/onnxt5,https://github.com/abelriboulot/onnxt5,Apache-2.0,2020-08-01 09:38:35+00:00,2020-09-02 11:27:43+00:00,2020-09-02 11:27:37+00:00,15.0,3.0,5.0,131.0,68.0,2020-08-15 15:25:00+00:00,0.1.6,10.0,\"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..\",,,2.0,11,https://pypi.org/project/onnxt5,2020-09-02 11:22:09+00:00,,132.0,132.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n713,Hypertunity,gdikov/hypertunity,hypertunity,,,hyperopt,,https://github.com/gdikov/hypertunity,https://github.com/gdikov/hypertunity,Apache-2.0,2019-06-02 12:04:55+00:00,2020-01-26 23:14:49+00:00,2020-01-26 22:53:29+00:00,9.0,,2.0,118.0,64.0,2020-01-26 23:08:16+00:00,1.0.1,7.0,A toolset for black-box hyperparameter optimisation.,2.0,2.0,2.0,11,https://pypi.org/project/hypertunity,2020-01-26 23:08:16+00:00,,45.0,45.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n714,traintool,jrieke/traintool,traintool,,,ml-experiments,\"['pytorch', 'tensorflow', 'sklearn']\",https://github.com/jrieke/traintool,https://github.com/jrieke/traintool,Apache-2.0,2020-09-30 22:23:05+00:00,2020-11-18 02:51:43+00:00,2020-11-18 02:50:52+00:00,1.0,,,8.0,120.0,2020-11-02 02:25:32+00:00,0.0.3,3.0,Train off-the-shelf machine learning models in one line of code.,,,1.0,10,https://pypi.org/project/traintool,2020-11-02 02:25:32+00:00,,62.0,62.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n715,GraphVite,DeepGraphLearning/graphvite,,milagraph/graphvite,,graph,,https://github.com/DeepGraphLearning/graphvite,https://github.com/DeepGraphLearning/graphvite,Apache-2.0,2019-07-16 15:48:20+00:00,2020-03-18 23:16:34+00:00,2020-03-18 23:16:04+00:00,113.0,22.0,51.0,810.0,14.0,,,,GraphVite: A General and High-performance Graph Embedding System.,,,1.0,9,,,,,,https://anaconda.org/milagraph/graphvite,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n"
  },
  {
    "path": "history/2020-12-27_changes.md",
    "content": "## ➕ Added Projects\n\n_Projects that were recently added to this best-of list._\n\n- <b><a href=\"https://github.com/plotly/dash\">dash</a></b> (🥇34 ·  ⭐ 14K · ➕) - Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript.. <code><a href=\"https://tldrlegal.com/license/mit-license\">MIT</a></code>\n- <b><a href=\"https://github.com/davisking/dlib\">dlib</a></b> (🥈33 ·  ⭐ 9.7K · ➕) - A toolkit for making real world machine learning and data.. <code><a href=\"https://tldrlegal.com/search?q=BSL-1.0\">❗️BSL-1.0</a></code>\n- <b><a href=\"https://github.com/googleapis/python-bigquery\">python-bigquery</a></b> (🥈33 ·  ⭐ 3.4K · ➕) - Google BigQuery API client library. <code><a href=\"https://tldrlegal.com/license/apache-license-2.0-(apache-2.0)\">Apache-2</a></code>\n- <b><a href=\"https://github.com/kurtmckee/feedparser\">feedparser</a></b> (🥇31 ·  ⭐ 1.2K · ➕) - Parse feeds in Python. <code><a href=\"https://tldrlegal.com/license/bsd-2-clause-license-(freebsd)\">BSD-2</a></code>\n- <b><a href=\"https://github.com/emcconville/wand\">Wand</a></b> (🥈30 ·  ⭐ 1K · ➕) - The ctypes-based simple ImageMagick binding for Python. <code><a href=\"https://tldrlegal.com/license/mit-license\">MIT</a></code>\n- <b><a href=\"https://github.com/glfw/glfw\">glfw</a></b> (🥈29 ·  ⭐ 7.1K · ➕) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and.. <code><a href=\"https://tldrlegal.com/search?q=Zlib\">❗️Zlib</a></code>\n- <b><a href=\"https://github.com/xflr6/graphviz\">Graphviz</a></b> (🥈29 ·  ⭐ 880 · ➕) - Simple Python interface for Graphviz. <code><a href=\"https://tldrlegal.com/license/mit-license\">MIT</a></code>\n- <b><a href=\"https://github.com/Cadene/pretrained-models.pytorch\">pretrainedmodels</a></b> (🥇27 ·  ⭐ 7.6K · 💤) - Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet,.. <code><a href=\"https://tldrlegal.com/license/bsd-3-clause-license-(revised)\">BSD-3</a></code> <code><img src=\"https://bit.ly/3aK8jvP\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/scikit-learn-contrib/hdbscan\">hdbscan</a></b> (🥈27 ·  ⭐ 1.8K · ➕) - A high performance implementation of HDBSCAN clustering. <code><a href=\"https://tldrlegal.com/license/bsd-3-clause-license-(revised)\">BSD-3</a></code> <code><img src=\"https://bit.ly/3prMLZ7\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/inducer/pyopencl\">pyopencl</a></b> (🥈27 ·  ⭐ 760 · ➕) - OpenCL integration for Python, plus shiny features. <code><a href=\"https://tldrlegal.com/license/mit-license\">MIT</a></code>\n- <b><a href=\"https://github.com/carla-simulator/carla\">carla</a></b> (🥈26 ·  ⭐ 5.4K · ➕) - Open-source simulator for autonomous driving research. <code><a href=\"https://tldrlegal.com/license/mit-license\">MIT</a></code>\n- <b><a href=\"https://github.com/simonw/datasette\">Datasette</a></b> (🥈26 ·  ⭐ 4.4K · ➕) - An open source multi-tool for exploring and publishing data. <code><a href=\"https://tldrlegal.com/license/apache-license-2.0-(apache-2.0)\">Apache-2</a></code>\n- <b><a href=\"https://github.com/timesler/facenet-pytorch\">facenet-pytorch</a></b> (🥈26 ·  ⭐ 1.7K · ➕) - Pretrained Pytorch face detection (MTCNN) and recognition.. <code><a href=\"https://tldrlegal.com/license/mit-license\">MIT</a></code> <code><img src=\"https://bit.ly/3aK8jvP\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/qubvel/efficientnet\">efficientnet</a></b> (🥈26 ·  ⭐ 1.6K · ➕) - Implementation of EfficientNet model. Keras and TensorFlow.. <code><a href=\"https://tldrlegal.com/license/apache-license-2.0-(apache-2.0)\">Apache-2</a></code> <code><img src=\"https://bit.ly/2M0xLmr\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/wireservice/agate\">agate</a></b> (🥈26 ·  ⭐ 1K · 💤) - A Python data analysis library that is optimized for humans instead of.. <code><a href=\"https://tldrlegal.com/license/mit-license\">MIT</a></code>\n- <b><a href=\"https://github.com/milvus-io/milvus\">Milvus</a></b> (🥈25 ·  ⭐ 4.8K · ➕) - An open source embedding vector similarity search engine.. <code><a href=\"https://tldrlegal.com/license/apache-license-2.0-(apache-2.0)\">Apache-2</a></code>\n- <b><a href=\"https://github.com/espnet/espnet\">espnet</a></b> (🥉25 ·  ⭐ 3.2K · ➕) - End-to-End Speech Processing Toolkit. <code><a href=\"https://tldrlegal.com/license/apache-license-2.0-(apache-2.0)\">Apache-2</a></code>\n- <b><a href=\"https://github.com/JohnSnowLabs/spark-nlp\">spark-nlp</a></b> (🥈25 ·  ⭐ 1.8K · ➕) - State of the Art Natural Language Processing. <code><a href=\"https://tldrlegal.com/license/apache-license-2.0-(apache-2.0)\">Apache-2</a></code> <code><img src=\"https://bit.ly/3hjSspb\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/chainer/chainercv\">chainercv</a></b> (🥉25 ·  ⭐ 1.4K · 💤) - ChainerCV: a Library for Deep Learning in Computer Vision. <code><a href=\"https://tldrlegal.com/license/mit-license\">MIT</a></code>\n- <b><a href=\"https://github.com/deepset-ai/haystack\">haystack</a></b> (🥈25 ·  ⭐ 1.2K · ➕) - Transformers at scale for question answering & neural search... <code><a href=\"https://tldrlegal.com/license/apache-license-2.0-(apache-2.0)\">Apache-2</a></code>\n- <b><a href=\"https://github.com/bastibe/python-soundfile\">python-soundfile</a></b> (🥉25 ·  ⭐ 350 · ➕) - SoundFile is an audio library based on libsndfile, CFFI,.. <code><a href=\"https://tldrlegal.com/license/bsd-3-clause-license-(revised)\">BSD-3</a></code>\n- <b><a href=\"https://github.com/google/ml-metadata\">ml-metadata</a></b> (🥉25 ·  ⭐ 210 · ➕) - For recording and retrieving metadata associated with ML.. <code><a href=\"https://tldrlegal.com/license/apache-license-2.0-(apache-2.0)\">Apache-2</a></code>\n- <b><a href=\"https://github.com/deepmind/pysc2\">pysc2</a></b> (🥈24 ·  ⭐ 7.1K · 💀) - StarCraft II Learning Environment. <code><a href=\"https://tldrlegal.com/license/apache-license-2.0-(apache-2.0)\">Apache-2</a></code>\n- <b><a href=\"https://github.com/lukemelas/EfficientNet-PyTorch\">EfficientNet-PyTorch</a></b> (🥇24 ·  ⭐ 5.2K · ➕) - A PyTorch implementation of EfficientNet. <code><a href=\"https://tldrlegal.com/license/apache-license-2.0-(apache-2.0)\">Apache-2</a></code> <code><img src=\"https://bit.ly/3aK8jvP\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/ipazc/mtcnn\">mtcnn</a></b> (🥉24 ·  ⭐ 1.3K · ➕) - MTCNN face detection implementation for TensorFlow, as a PIP.. <code><a href=\"https://tldrlegal.com/license/mit-license\">MIT</a></code> <code><img src=\"https://bit.ly/2WMff3g\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/datalad/datalad\">datalad</a></b> (🥈24 ·  ⭐ 220 · ➕) - Keep code, data, containers under control with git and git-annex. <code><a href=\"https://tldrlegal.com/license/mit-license\">MIT</a></code>\n- <b><a href=\"https://github.com/PaddlePaddle/PaddleHub\">PaddleHub</a></b> (🥉23 ·  ⭐ 4.2K · ➕) - Awesome pre-trained models toolkit based on.. <code><a href=\"https://tldrlegal.com/license/apache-license-2.0-(apache-2.0)\">Apache-2</a></code> <code><img src=\"https://bit.ly/3mSIQD5\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/minimaxir/textgenrnn\">textgenrnn</a></b> (🥉23 ·  ⭐ 4.2K · ➕) - Easily train your own text-generating neural network of any.. <code><a href=\"https://tldrlegal.com/license/mit-license\">MIT</a></code> <code><img src=\"https://bit.ly/2WMff3g\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/qubvel/segmentation_models\">segmentation_models</a></b> (🥉23 ·  ⭐ 2.8K · 💤) - Segmentation models with pretrained backbones. Keras and.. <code><a href=\"https://tldrlegal.com/license/mit-license\">MIT</a></code> <code><img src=\"https://bit.ly/2WMff3g\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code><img src=\"https://bit.ly/2M0xLmr\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/explosion/sense2vec\">sense2vec</a></b> (🥉23 ·  ⭐ 1.1K · 💤) - Contextually-keyed word vectors. <code><a href=\"https://tldrlegal.com/license/mit-license\">MIT</a></code>\n- <b><a href=\"https://github.com/intel-analytics/analytics-zoo\">analytics-zoo</a></b> (🥉22 ·  ⭐ 2.2K · ➕) - Distributed Tensorflow, Keras and PyTorch on Apache.. <code><a href=\"https://tldrlegal.com/license/apache-license-2.0-(apache-2.0)\">Apache-2</a></code> <code><img src=\"https://bit.ly/3hjSspb\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/huggingface/neuralcoref\">neuralcoref</a></b> (🥉22 ·  ⭐ 2.2K · ➕) - Fast Coreference Resolution in spaCy with Neural Networks. <code><a href=\"https://tldrlegal.com/license/mit-license\">MIT</a></code>\n- <b><a href=\"https://github.com/SauceCat/PDPbox\">PDPbox</a></b> (🥉22 ·  ⭐ 520 · 💀) - python partial dependence plot toolbox. <code><a href=\"https://tldrlegal.com/license/mit-license\">MIT</a></code>\n- <b><a href=\"https://github.com/libvips/pyvips\">pyvips</a></b> (🥉22 ·  ⭐ 280 · ➕) - python binding for libvips using cffi. <code><a href=\"https://tldrlegal.com/license/mit-license\">MIT</a></code>\n- <b><a href=\"https://github.com/yzhao062/SUOD\">SUOD</a></b> (🥉22 ·  ⭐ 220 · ➕) - An Acceleration System for Large-scale Outlier Detection (Anomaly.. <code><a href=\"https://tldrlegal.com/license/bsd-2-clause-license-(freebsd)\">BSD-2</a></code>\n- <b><a href=\"https://github.com/snap-stanford/ogb\">ogb</a></b> (🥈21 ·  ⭐ 670 · ➕) - Benchmark datasets, data loaders, and evaluators for graph machine.. <code><a href=\"https://tldrlegal.com/license/mit-license\">MIT</a></code>\n- <b><a href=\"https://github.com/SeldonIO/alibi-detect\">alibi-detect</a></b> (🥉21 ·  ⭐ 440 · ➕) - Algorithms for outlier and adversarial instance detection,.. <code><a href=\"https://tldrlegal.com/license/apache-license-2.0-(apache-2.0)\">Apache-2</a></code>\n- <b><a href=\"https://github.com/Neuraxio/Neuraxle\">Neuraxle</a></b> (🥉21 ·  ⭐ 340 · ➕) - A Sklearn-like Framework for Hyperparameter Tuning and AutoML.. <code><a href=\"https://tldrlegal.com/license/apache-license-2.0-(apache-2.0)\">Apache-2</a></code>\n- <b><a href=\"https://github.com/jasmcaus/caer\">caer</a></b> (🥉21 ·  ⭐ 280 · 🐣) - A lightweight, scalable, GPU-accelerated Computer Vision library for.. <code><a href=\"https://tldrlegal.com/license/mit-license\">MIT</a></code>\n- <b><a href=\"https://github.com/m3dev/gokart\">gokart</a></b> (🥉21 ·  ⭐ 150 · ➕) - A wrapper of the data pipeline library luigi. <code><a href=\"https://tldrlegal.com/license/mit-license\">MIT</a></code>\n- <b><a href=\"https://github.com/lucidrains/reformer-pytorch\">reformer-pytorch</a></b> (🥈20 ·  ⭐ 1.3K · ➕) - Reformer, the efficient Transformer, in Pytorch. <code><a href=\"https://tldrlegal.com/license/mit-license\">MIT</a></code> <code><img src=\"https://bit.ly/3aK8jvP\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/hhatto/nude.py\">nude.py</a></b> (🥉20 ·  ⭐ 780 · ➕) - Nudity detection with Python. <code><a href=\"https://tldrlegal.com/license/mit-license\">MIT</a></code>\n- <b><a href=\"https://github.com/mljar/mljar-supervised\">mljar-supervised</a></b> (🥉20 ·  ⭐ 600 · ➕) - Automates Machine Learning Pipeline with Feature.. <code><a href=\"https://tldrlegal.com/license/mit-license\">MIT</a></code>\n- <b><a href=\"https://github.com/michaelhelmick/lassie\">Lassie</a></b> (🥉20 ·  ⭐ 520 · ➕) - Web Content Retrieval for Humans. <code><a href=\"https://tldrlegal.com/license/mit-license\">MIT</a></code>\n- <b><a href=\"https://github.com/gmr/queries\">Queries</a></b> (🥉20 ·  ⭐ 230 · ➕) - PostgreSQL database access simplified. <code><a href=\"https://tldrlegal.com/license/bsd-3-clause-license-(revised)\">BSD-3</a></code>\n- <b><a href=\"https://github.com/qinxuye/cola\">Cola</a></b> (🥉18 ·  ⭐ 1.4K · 💤) - A high-level distributed crawling framework. <code><a href=\"https://tldrlegal.com/license/apache-license-2.0-(apache-2.0)\">Apache-2</a></code>\n- <b><a href=\"https://github.com/jdb78/pytorch-forecasting\">pytorch-forecasting</a></b> (🥉18 ·  ⭐ 460 · 🐣) - Time series forecasting with PyTorch. <code><a href=\"https://tldrlegal.com/license/mit-license\">MIT</a></code>\n- <b><a href=\"https://github.com/facebookresearch/fairscale\">FairScale</a></b> (🥉17 ·  ⭐ 590 · 🐣) - PyTorch extensions for high performance and large scale.. <code><a href=\"https://tldrlegal.com/license/bsd-3-clause-license-(revised)\">BSD-3</a></code> <code><img src=\"https://bit.ly/3aK8jvP\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/tryolabs/norfair\">Norfair</a></b> (🥉17 ·  ⭐ 580 · 🐣) - Lightweight Python library for adding real-time 2D object tracking.. <code><a href=\"https://tldrlegal.com/license/bsd-3-clause-license-(revised)\">BSD-3</a></code>\n- <b><a href=\"https://github.com/graknlabs/kglib\">kglib</a></b> (🥉17 ·  ⭐ 380 · ➕) - Grakn Knowledge Graph Library (ML R&D). <code><a href=\"https://tldrlegal.com/license/apache-license-2.0-(apache-2.0)\">Apache-2</a></code>\n- <b><a href=\"https://github.com/gsi-upm/sematch\">Sematch</a></b> (🥉17 ·  ⭐ 340 · 💀) - semantic similarity framework for knowledge graph. <code><a href=\"https://tldrlegal.com/license/apache-license-2.0-(apache-2.0)\">Apache-2</a></code>\n- <b><a href=\"https://github.com/lightly-ai/lightly\">lightly</a></b> (🥉16 ·  ⭐ 380 · 🐣) - A python library for self-supervised learning. <code><a href=\"https://tldrlegal.com/license/mit-license\">MIT</a></code> <code><img src=\"https://bit.ly/3aK8jvP\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/poets-ai/elegy\">elegy</a></b> (🥉16 ·  ⭐ 140 · 🐣) - Elegy is a Neural Networks framework based on Jax and.. <code><a href=\"https://tldrlegal.com/license/apache-license-2.0-(apache-2.0)\">Apache-2</a></code> <code><img src=\"https://bit.ly/2M0xLmr\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code>jax</code>\n- <b><a href=\"https://github.com/geohot/tinygrad\">tinygrad</a></b> (🥉15 ·  ⭐ 3.7K · 🐣) - You like pytorch? You like micrograd? You love tinygrad!. <code><a href=\"https://tldrlegal.com/license/mit-license\">MIT</a></code> <code><img src=\"https://bit.ly/3aK8jvP\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/thunlp/OpenNRE\">OpenNRE</a></b> (🥉14 ·  ⭐ 2.9K · ➕) - An Open-Source Package for Neural Relation Extraction (NRE). <code><a href=\"https://tldrlegal.com/license/mit-license\">MIT</a></code>\n- <b><a href=\"https://github.com/karpathy/micrograd\">micrograd</a></b> (🥉14 ·  ⭐ 1.5K · 💤) - A tiny scalar-valued autograd engine and a neural net library.. <code><a href=\"https://tldrlegal.com/license/mit-license\">MIT</a></code> <code><img src=\"https://bit.ly/3aK8jvP\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/jrieke/traingenerator\">traingenerator</a></b> (🥉9 ·  ⭐ 600 · ➕) - A web app to generate template code for machine learning. <code><a href=\"https://tldrlegal.com/license/mit-license\">MIT</a></code>\n\n## 📈 Trending Up\n\n_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._\n\n- <b><a href=\"https://github.com/iterative/dvc\">DVC</a></b> (🥇30 ·  ⭐ 7K · 📈) - Data Version Control | Git for Data & Models. <code><a href=\"https://tldrlegal.com/license/apache-license-2.0-(apache-2.0)\">Apache-2</a></code>\n- <b><a href=\"https://github.com/ipython/ipyparallel\">ipyparallel</a></b> (🥈29 ·  ⭐ 1.8K · 📈) - Interactive Parallel Computing in Python. <code><a href=\"https://tldrlegal.com/license/bsd-3-clause-license-(revised)\">BSD-3</a></code> <code><img src=\"https://bit.ly/34ND1jR\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/facebookresearch/detectron2\">detectron2</a></b> (🥈26 ·  ⭐ 14K · 📈) - Detectron2 is FAIR's next-generation platform for object.. <code><a href=\"https://tldrlegal.com/license/apache-license-2.0-(apache-2.0)\">Apache-2</a></code> <code><img src=\"https://bit.ly/3aK8jvP\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/aubio/aubio\">aubio</a></b> (🥉26 ·  ⭐ 2K · 📈) - a library for audio and music analysis. <code><a href=\"https://tldrlegal.com/license/gnu-general-public-license-v3-(gpl-3)\">❗️GPL-3.0</a></code>\n- <b><a href=\"https://github.com/NVIDIA/apex\">Apex</a></b> (🥈23 ·  ⭐ 4.9K · 📈) - A PyTorch Extension: Tools for easy mixed precision and.. <code><a href=\"https://tldrlegal.com/license/bsd-3-clause-license-(revised)\">BSD-3</a></code> <code><img src=\"https://bit.ly/3aK8jvP\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/shogun-toolbox/shogun\">SHOGUN</a></b> (🥉23 ·  ⭐ 2.8K · 📈) - Unified and efficient Machine Learning. <code><a href=\"https://tldrlegal.com/license/bsd-3-clause-license-(revised)\">BSD-3</a></code>\n- <b><a href=\"https://github.com/Azure/mmlspark\">MMLSpark</a></b> (🥉23 ·  ⭐ 2.2K · 📈) - Microsoft Machine Learning for Apache Spark. <code><a href=\"https://tldrlegal.com/license/mit-license\">MIT</a></code> <code><img src=\"https://bit.ly/3hjSspb\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/facebookresearch/higher\">Higher</a></b> (🥉19 ·  ⭐ 1K · 📈) - higher is a pytorch library allowing users to obtain higher.. <code><a href=\"https://tldrlegal.com/license/apache-license-2.0-(apache-2.0)\">Apache-2</a></code> <code><img src=\"https://bit.ly/3aK8jvP\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/alegonz/baikal\">baikal</a></b> (🥉18 ·  ⭐ 570 · 📈) - A graph-based functional API for building complex scikit-learn.. <code><a href=\"https://tldrlegal.com/license/bsd-3-clause-license-(revised)\">BSD-3</a></code>\n- <b><a href=\"https://github.com/DeepGraphLearning/graphvite\">GraphVite</a></b> (🥉12 ·  ⭐ 820 · 💤) - GraphVite: A General and High-performance Graph Embedding.. <code><a href=\"https://tldrlegal.com/license/apache-license-2.0-(apache-2.0)\">Apache-2</a></code>\n\n## 📉 Trending Down\n\n_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._\n\n- <b><a href=\"https://github.com/geopandas/geopandas\">GeoPandas</a></b> (🥇31 ·  ⭐ 2.4K · 📉) - Python tools for geographic data. <code><a href=\"https://tldrlegal.com/license/bsd-3-clause-license-(revised)\">BSD-3</a></code> <code><img src=\"https://bit.ly/2Jmaz12\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/pytorch/fairseq\">fairseq</a></b> (🥇30 ·  ⭐ 11K · 📉) - Facebook AI Research Sequence-to-Sequence Toolkit written in.. <code><a href=\"https://tldrlegal.com/license/mit-license\">MIT</a></code> <code><img src=\"https://bit.ly/3aK8jvP\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/allenai/allennlp\">AllenNLP</a></b> (🥈29 ·  ⭐ 9.5K · 📉) - An open-source NLP research library, built on PyTorch. <code><a href=\"https://tldrlegal.com/license/apache-license-2.0-(apache-2.0)\">Apache-2</a></code> <code><img src=\"https://bit.ly/3aK8jvP\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/dmlc/gluon-cv\">GluonCV</a></b> (🥈27 ·  ⭐ 4.4K · 📉) - Gluon CV Toolkit. <code><a href=\"https://tldrlegal.com/license/apache-license-2.0-(apache-2.0)\">Apache-2</a></code> <code><img src=\"https://bit.ly/38EEfPv\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/quantumblacklabs/kedro\">Kedro</a></b> (🥈27 ·  ⭐ 3.3K · 📉) - A Python framework for creating reproducible, maintainable and.. <code><a href=\"https://tldrlegal.com/license/apache-license-2.0-(apache-2.0)\">Apache-2</a></code>\n- <b><a href=\"https://github.com/catalyst-team/catalyst\">Catalyst</a></b> (🥈27 ·  ⭐ 2.3K · 📉) - Accelerated deep learning R&D. <code><a href=\"https://tldrlegal.com/license/apache-license-2.0-(apache-2.0)\">Apache-2</a></code> <code><img src=\"https://bit.ly/3aK8jvP\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/Kozea/pygal\">pygal</a></b> (🥇27 ·  ⭐ 2.3K · 📉) - PYthon svg GrAph plotting Library. <code><a href=\"https://tldrlegal.com/license/gnu-lesser-general-public-license-v3-(lgpl-3)\">❗️LGPL-3.0</a></code>\n- <b><a href=\"https://github.com/allegroai/clearml\">TRAINS</a></b> (🥉25 ·  ⭐ 2K · 📉) - ClearML - Auto-Magical Suite of tools to streamline your ML.. <code><a href=\"https://tldrlegal.com/license/apache-license-2.0-(apache-2.0)\">Apache-2</a></code>\n- <b><a href=\"https://github.com/fastnlp/fastNLP\">fastNLP</a></b> (🥈25 ·  ⭐ 1.9K · 📉) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. <code><a href=\"https://tldrlegal.com/license/apache-license-2.0-(apache-2.0)\">Apache-2</a></code>\n- <b><a href=\"https://github.com/maxpumperla/hyperas\">Hyperas</a></b> (🥈24 ·  ⭐ 2.1K · 📉) - Keras + Hyperopt: A very simple wrapper for convenient.. <code><a href=\"https://tldrlegal.com/license/mit-license\">MIT</a></code> <code><img src=\"https://bit.ly/2M0xLmr\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n\n"
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17:29:01.440000,851555.0,True,1,,stable/spark,,,,,,,,,,,,,,,,,,,,,,,,\n8,Pillow,python-pillow/Pillow,Pillow,conda-forge/pillow,,image,,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000000,2020-12-27 10:26:23.000000,2020-12-27 10:26:22.000000,1536.0,238.0,1831.0,8043.0,10987.0,2020-10-22 19:19:42.000000,8.0.1,76.0,The friendly PIL fork (Python Imaging Library).,482015.0,370589.0,343.0,38,https://pypi.org/project/Pillow,2020-10-22 19:17:46.000000,111426.0,14234378.0,14351179.0,https://anaconda.org/conda-forge/pillow,2020-11-07 11:52:48.847000,6540873.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n9,youtube-dl,ytdl-org/youtube-dl,youtube_dl,conda-forge/youtube-dl,,web-scraping,,https://github.com/ytdl-org/youtube-dl,https://github.com/ytdl-org/youtube-dl,Unlicense,2010-10-31 14:35:07.000000,2020-12-27 15:23:21.000000,2020-12-27 15:22:43.000000,3167.0,3900.0,19026.0,86060.0,18077.0,2020-12-26 16:18:48.000000,2020.12.26,931.0,Command-line program to download videos from YouTube.com and other video sites.,2854.0,,914.0,37,https://pypi.org/project/youtube_dl,2020-12-26 16:19:21.000000,2854.0,1900448.0,3485360.0,https://anaconda.org/conda-forge/youtube-dl,2020-12-26 22:19:42.372000,532529.0,True,1,45521236.0,,youtube-dl,,,,,,,,,,,,,,,,,,,,,,,\n10,spaCy,explosion/spaCy,spacy,conda-forge/spacy,,nlp,,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000000,2020-12-24 19:17:13.000000,2020-12-22 15:50:34.000000,3189.0,90.0,4116.0,17896.0,11715.0,2020-12-11 14:45:05.000000,2.3.5,169.0,Industrial-strength Natural Language Processing (NLP) with Python and Cython.,22828.0,19762.0,540.0,37,https://pypi.org/project/spacy,2020-12-11 14:45:05.000000,3066.0,911897.0,941611.0,https://anaconda.org/conda-forge/spacy,2020-12-18 10:09:15.705000,1364259.0,True,1,2894.0,,,,,,,,,,,,,,,,,,,,,,,,,\n11,Celery,celery/celery,celery,conda-forge/celery,,data-pipelines,,https://github.com/celery/celery,https://github.com/celery/celery,BSD-3-Clause,2009-04-24 11:31:24.000000,2020-12-27 12:36:42.000000,2020-12-27 00:08:32.000000,3908.0,487.0,3910.0,16434.0,11472.0,2020-12-16 15:41:18.000000,5.0.5,171.0,Asynchronous task queue/job queue based on distributed message passing.,75093.0,46859.0,1068.0,37,https://pypi.org/project/celery,2020-12-16 15:34:09.000000,28234.0,2172654.0,2178902.0,https://anaconda.org/conda-forge/celery,2020-11-11 10:39:38.599000,356163.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n12,networkx,networkx/networkx,networkx,conda-forge/networkx,,graph,,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44.000000,2020-12-27 04:50:43.000000,2020-12-26 21:28:37.000000,2155.0,253.0,2278.0,8401.0,6361.0,2020-08-22 20:10:33.000000,networkx-2.5,52.0,Network Analysis in Python.,83836.0,63018.0,483.0,37,https://pypi.org/project/networkx,2020-08-22 20:38:37.000000,20818.0,5466664.0,5522339.0,https://anaconda.org/conda-forge/networkx,2020-08-23 19:29:02.065000,2783755.0,True,1,51.0,,,,,,,,,,,,,,,,,,,,,,,,,\n13,boto3,boto/boto3,boto3,conda-forge/boto3,,db-clients,,https://github.com/boto/boto3,https://github.com/boto/boto3,Apache-2.0,2014-10-03 21:38:03.000000,2020-12-24 12:48:26.000000,2020-12-23 19:07:30.000000,1291.0,305.0,1938.0,6016.0,3991.0,2020-12-23 20:19:40.000000,1.16.43,730.0,AWS SDK for Python.,113384.0,90294.0,108.0,37,https://pypi.org/project/boto3,2020-12-23 20:19:40.000000,23090.0,49318692.0,49402377.0,https://anaconda.org/conda-forge/boto3,2020-12-24 01:01:06.923000,4100574.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n14,SQLAlchemy,sqlalchemy/sqlalchemy,SQLAlchemy,conda-forge/sqlalchemy,,db-clients,,https://github.com/sqlalchemy/sqlalchemy,https://github.com/sqlalchemy/sqlalchemy,MIT,2017-01-02 21:50:52.207000,2020-12-26 21:43:31.000000,2020-12-26 21:43:13.000000,491.0,149.0,5381.0,3133.0,13432.0,2020-12-18 21:13:06.000000,1.3.22,207.0,The Database Toolkit for Python.,308643.0,224937.0,448.0,37,https://pypi.org/project/SQLAlchemy,2020-12-18 21:13:06.000000,83706.0,12956734.0,13017282.0,https://anaconda.org/conda-forge/sqlalchemy,2020-12-19 08:49:20.725000,2842151.0,True,1,1159.0,,,,,,,,,,,,,,,,,,,,,,,,,\n15,transformers,huggingface/transformers,transformers,conda-forge/transformers,,nlp,\"['pytorch', 'tensorflow']\",https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000000,2020-12-27 06:51:28.000000,2020-12-25 22:28:12.000000,9402.0,568.0,4959.0,38574.0,6196.0,2020-12-17 17:09:51.000000,4.1.1,44.0,Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.,6576.0,6448.0,740.0,36,https://pypi.org/project/transformers,2020-12-17 16:27:28.000000,128.0,722727.0,723692.0,https://anaconda.org/conda-forge/transformers,2020-12-19 08:26:53.237000,12829.0,True,1,1238.0,,,,,,,,,,,,,,,,,,,,,,,,,\n16,Faker,joke2k/faker,Faker,conda-forge/faker,,data-loading,,https://github.com/joke2k/faker,https://github.com/joke2k/faker,MIT,2012-11-12 23:00:09.000000,2020-12-24 15:04:41.000000,2020-12-24 15:04:40.000000,1318.0,132.0,342.0,11824.0,2490.0,2020-12-15 21:37:38.000000,5.0.2,102.0,Faker is a Python package that generates fake data for you.,26501.0,21789.0,378.0,36,https://pypi.org/project/Faker,2020-12-15 21:37:28.000000,4712.0,2073110.0,2081069.0,https://anaconda.org/conda-forge/faker,2020-12-15 23:13:31.548000,358198.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n17,redis,andymccurdy/redis-py,redis,,,db-clients,,https://github.com/andymccurdy/redis-py,https://github.com/andymccurdy/redis-py,MIT,2009-11-06 10:22:26.000000,2020-12-21 07:23:24.000000,2020-11-22 20:52:44.000000,1903.0,62.0,803.0,8991.0,1550.0,2020-06-01 21:30:33.000000,3.5.3,66.0,Redis Python Client.,49438.0,,248.0,36,https://pypi.org/project/redis,2020-06-01 21:30:33.000000,49438.0,8388559.0,8388559.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n18,SymPy,sympy/sympy,sympy,conda-forge/sympy,,others,,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000000,2020-12-27 15:37:04.000000,2020-12-27 13:29:04.000000,3209.0,3953.0,7058.0,7688.0,45510.0,2020-12-12 23:23:00.000000,1.7.1,36.0,A computer algebra system written in pure Python.,33916.0,27494.0,1023.0,36,https://pypi.org/project/sympy,2020-12-12 23:23:00.000000,6422.0,596120.0,622836.0,https://anaconda.org/conda-forge/sympy,2020-12-13 04:16:18.209000,1215318.0,True,1,411242.0,,,,,,,,,,,,,,,,,,,,,,,,,\n19,StatsModels,statsmodels/statsmodels,statsmodels,conda-forge/statsmodels,,ml-frameworks,,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000000,2020-12-23 11:31:26.000000,2020-12-23 11:31:25.000000,2114.0,2042.0,2228.0,5840.0,13517.0,2020-10-29 16:36:43.000000,0.12.1,24.0,Statsmodels: statistical modeling and econometrics in Python.,41402.0,34746.0,296.0,36,https://pypi.org/project/statsmodels,2020-10-29 16:36:43.000000,6656.0,2327915.0,2384357.0,https://anaconda.org/conda-forge/statsmodels,2020-11-21 19:18:02.779000,3047909.0,True,1,25.0,,,,,,,,,,,,,,,,,,,,,,,,,\n20,Tensorboard,tensorflow/tensorboard,tensorboard,conda-forge/tensorboard,,ml-experiments,['tensorflow'],https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000000,2020-12-24 01:34:33.000000,2020-12-24 01:22:39.000000,1326.0,544.0,899.0,5101.0,4126.0,2020-11-12 03:15:42.000000,2.4.0,35.0,TensorFlow's Visualization Toolkit.,53036.0,49422.0,248.0,36,https://pypi.org/project/tensorboard,2020-11-12 03:15:33.000000,3614.0,5292345.0,5332808.0,https://anaconda.org/conda-forge/tensorboard,2020-11-12 07:26:37.897000,1497141.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n21,scikit-image,scikit-image/scikit-image,scikit-image,conda-forge/scikit-image,,image,,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,BSD-2-Clause,2011-07-07 22:07:20.000000,2020-12-26 15:57:29.000000,2020-12-26 14:27:27.000000,1713.0,644.0,1471.0,4111.0,12448.0,2020-12-23 06:36:46.000000,0.18.1,35.0,Image processing in Python.,71765.0,56991.0,472.0,36,https://pypi.org/project/scikit-image,2020-12-23 06:36:46.000000,14774.0,1778005.0,1814591.0,https://anaconda.org/conda-forge/scikit-image,2020-12-23 15:59:08.642000,2012273.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n22,pymongo,mongodb/mongo-python-driver,pymongo,conda-forge/pymongo,,db-clients,,https://github.com/mongodb/mongo-python-driver,https://github.com/mongodb/mongo-python-driver,Apache-2.0,2009-01-15 15:18:06.000000,2020-12-23 23:48:05.000000,2020-12-22 03:22:29.000000,969.0,7.0,,3184.0,4617.0,2020-12-02 23:37:26.000000,3.11.2,115.0,PyMongo - the Python driver for MongoDB.,117970.0,82108.0,179.0,36,https://pypi.org/project/pymongo,2020-12-02 23:31:25.000000,35862.0,6143949.0,6149824.0,https://anaconda.org/conda-forge/pymongo,2020-10-12 20:39:14.177000,317272.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n23,h5py,h5py/h5py,h5py,conda-forge/h5py,,data-containers,,https://github.com/h5py/h5py,https://github.com/h5py/h5py,BSD-3-Clause,2012-09-21 00:40:02.000000,2020-12-11 13:07:01.000000,2020-12-01 10:28:11.000000,393.0,183.0,936.0,1457.0,3463.0,2020-11-06 14:30:54.000000,3.1.0,25.0,HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.,118959.0,96023.0,156.0,36,https://pypi.org/project/h5py,2020-11-06 14:30:54.000000,22936.0,5553052.0,5629498.0,https://anaconda.org/conda-forge/h5py,2020-11-07 13:29:59.487000,4356566.0,True,1,761.0,,,,,,,,,,,,,,,,,,,,,,,,,\n24,Keras,keras-team/keras,keras,conda-forge/keras,https://keras.io,ml-frameworks,['keras'],https://github.com/keras-team/keras,https://github.com/keras-team/keras,MIT,2015-03-28 00:35:42.000000,2020-12-23 19:08:38.000000,2020-12-23 18:27:33.000000,18680.0,3138.0,7218.0,50397.0,5361.0,2020-06-24 22:40:48.000000,2.4.3,53.0,Deep Learning for humans.,14996.0,,893.0,35,https://pypi.org/project/keras,2020-06-24 22:40:48.000000,14996.0,2031985.0,2058580.0,https://anaconda.org/conda-forge/keras,2020-06-25 19:13:34.254000,1382946.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n25,OpenAI Gym,openai/gym,gym,,,reinforcement-learning,,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16.000000,2020-12-25 22:55:29.000000,2020-12-18 23:40:47.000000,6550.0,223.0,1061.0,22990.0,1240.0,2020-12-19 00:29:36.000000,0.18.0,92.0,A toolkit for developing and comparing reinforcement learning algorithms.,20307.0,16745.0,271.0,35,https://pypi.org/project/gym,2020-12-19 00:29:36.000000,3562.0,319218.0,319218.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n26,XGBoost,dmlc/xgboost,xgboost,conda-forge/xgboost,https://xgboost.readthedocs.io/en/latest/,ml-frameworks,,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000000,2020-12-24 10:23:22.000000,2020-12-23 08:08:10.000000,7840.0,263.0,3630.0,20322.0,5164.0,2020-12-22 13:38:41.000000,1.3.1,50.0,\"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..\",14063.0,12471.0,500.0,35,https://pypi.org/project/xgboost,2020-12-09 19:03:33.000000,1592.0,2764362.0,2792385.0,https://anaconda.org/conda-forge/xgboost,2020-12-10 13:41:20.626000,1260057.0,True,2,1849.0,,,,,,,,,,,,,,,,,,,,,,,,,\n27,Airflow,apache/airflow,apache-airflow,conda-forge/airflow,,data-pipelines,,https://github.com/apache/airflow,https://github.com/apache/airflow,Apache-2.0,2015-04-13 18:04:58.000000,2020-12-27 15:29:09.000000,2020-12-26 16:08:13.000000,7625.0,907.0,1758.0,19930.0,11215.0,2020-12-18 13:21:47.000000,2.0.0,67.0,\"Platform to programmatically author, schedule, and monitor workflows.\",294.0,,1682.0,35,https://pypi.org/project/apache-airflow,2020-12-14 17:07:53.000000,294.0,577015.0,633013.0,https://anaconda.org/conda-forge/airflow,2020-11-26 16:17:26.980000,248433.0,True,1,67766.0,stable/airflow,,apache/airflow,https://hub.docker.com/r/apache/airflow,2020-12-26 16:47:49.041345,190.0,3343133.0,,,,,,,,,,,,,,,,,,\n28,LightGBM,microsoft/LightGBM,lightgbm,conda-forge/lightgbm,,ml-frameworks,,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000000,2020-12-27 07:37:14.000000,2020-12-26 22:51:08.000000,3136.0,88.0,1903.0,11970.0,2175.0,2020-12-08 03:00:35.000000,3.1.1,24.0,\"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..\",5632.0,5076.0,192.0,35,https://pypi.org/project/lightgbm,2020-12-08 03:00:35.000000,556.0,1461341.0,1474262.0,https://anaconda.org/conda-forge/lightgbm,2020-12-08 18:04:57.617000,453759.0,True,2,81612.0,,,,,,,,,,,,,,,,,,,,,,,,,\n29,gensim,RaRe-Technologies/gensim,gensim,conda-forge/gensim,,nlp,,https://github.com/RaRe-Technologies/gensim,https://github.com/RaRe-Technologies/gensim,LGPL-2.1,2011-02-10 07:43:04.000000,2020-12-27 07:46:30.000000,2020-11-15 20:49:41.000000,3825.0,349.0,1237.0,11523.0,3849.0,2020-05-04 05:55:15.000000,3.8.3,83.0,Topic Modelling for Humans.,24317.0,19575.0,384.0,35,https://pypi.org/project/gensim,2020-11-15 12:53:37.000000,4742.0,6172457.0,6187402.0,https://anaconda.org/conda-forge/gensim,2020-05-14 08:28:35.604000,581247.0,False,1,2591.0,,,,,,,,,,,,,,,,,,,,,,,,,\n30,Theano,Theano/Theano,theano,conda-forge/theano,,ml-frameworks,,https://github.com/Theano/Theano,https://github.com/Theano/Theano,BSD-3-Clause,2011-08-10 03:48:06.000000,2020-11-01 11:19:03.292000,2020-09-05 10:39:50.000000,2501.0,674.0,2081.0,9315.0,28123.0,2020-07-27 16:13:54.000000,1.0.5,45.0,\"Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-..\",15328.0,9854.0,382.0,35,https://pypi.org/project/theano,2020-07-27 16:13:54.000000,5474.0,230049.0,253666.0,https://anaconda.org/conda-forge/theano,2020-11-01 11:19:03.292000,1251747.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n31,Plotly,plotly/plotly.py,plotly,conda-forge/plotly,,data-viz,,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000000,2020-12-25 15:43:36.000000,2020-12-23 19:55:10.000000,1711.0,760.0,1037.0,8510.0,4884.0,2020-12-09 13:48:45.000000,4.14.1,263.0,The interactive graphing library for Python (includes Plotly Express).,4991.0,5.0,158.0,35,https://pypi.org/project/plotly,2020-12-09 13:29:15.000000,4982.0,2819798.0,2877274.0,https://anaconda.org/conda-forge/plotly,2020-12-09 14:47:46.237000,1130689.0,True,1,,,,,,,,,plotlywidget,https://www.npmjs.com/package/plotlywidget,2020-12-09 13:24:37.313000,4.0,35732.0,,,,,,,,,,,,,\n32,torchvision,pytorch/vision,torchvision,conda-forge/torchvision,,image,['pytorch'],https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000000,2020-12-27 13:56:13.000000,2020-12-23 09:15:15.000000,4100.0,458.0,1022.0,8022.0,1396.0,2020-12-10 17:10:41.000000,0.8.2,21.0,\"Datasets, Transforms and Models specific to Computer Vision.\",42211.0,37599.0,346.0,35,https://pypi.org/project/torchvision,2020-12-10 16:27:20.000000,4612.0,715629.0,716576.0,https://anaconda.org/conda-forge/torchvision,2018-10-14 22:06:28.203000,34106.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n33,Seaborn,mwaskom/seaborn,seaborn,conda-forge/seaborn,,data-viz,,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000000,2020-12-23 16:23:31.000000,2020-12-23 16:23:27.000000,1354.0,80.0,1643.0,7934.0,2731.0,2020-12-20 20:53:25.000000,0.11.1,23.0,Statistical data visualization using matplotlib.,87786.0,75000.0,144.0,35,https://pypi.org/project/seaborn,2020-12-20 20:53:25.000000,12786.0,2106833.0,2141808.0,https://anaconda.org/conda-forge/seaborn,2020-12-21 10:06:33.576000,1818652.0,True,1,106.0,,,,,,,,,,,,,,,,,,,,,,,,,\n34,dask,dask/dask,dask,conda-forge/dask,,distributed-ml,,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000000,2020-12-23 20:20:49.000000,2020-12-21 17:17:36.000000,1197.0,688.0,2775.0,7680.0,6265.0,2020-12-11 01:53:58.000000,2020.12.0,109.0,Parallel computing with task scheduling.,27930.0,24014.0,420.0,35,https://pypi.org/project/dask,2020-12-11 01:53:58.000000,3916.0,1355940.0,1406508.0,https://anaconda.org/conda-forge/dask,2020-12-11 06:35:53.129000,2781248.0,True,1,,stable/dask,,,,,,,,,,,,,,,,,,,,,,,,\n35,Arrow,apache/arrow,pyarrow,conda-forge/arrow,,data-containers,,https://github.com/apache/arrow,https://github.com/apache/arrow,Apache-2.0,2016-02-17 08:00:23.000000,2020-12-27 15:17:00.000000,2020-12-27 13:35:40.000000,1697.0,115.0,536.0,6780.0,8184.0,2020-10-19 21:15:12.000000,2.0.0,29.0,Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-..,1012.0,26.0,606.0,35,https://pypi.org/project/pyarrow,2020-10-19 21:15:12.000000,986.0,11460581.0,11468570.0,https://anaconda.org/conda-forge/arrow,2020-10-12 18:31:14.221000,439429.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n36,PyMySQL,PyMySQL/PyMySQL,PyMySQL,conda-forge/pymysql,,db-clients,,https://github.com/PyMySQL/PyMySQL,https://github.com/PyMySQL/PyMySQL,MIT,2011-07-27 17:38:47.000000,2020-12-10 02:51:07.000000,2020-12-10 02:51:06.000000,1238.0,18.0,515.0,6257.0,944.0,2020-09-10 07:38:01.000000,0.10.1,32.0,Pure Python MySQL Client.,89216.0,70790.0,104.0,35,https://pypi.org/project/PyMySQL,2020-09-10 07:38:01.000000,18426.0,5327944.0,5333902.0,https://anaconda.org/conda-forge/pymysql,2020-11-17 22:05:17.850000,226408.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n37,google-cloud-storage,googleapis/google-cloud-python,google-cloud-storage,conda-forge/google-cloud-storage,,db-clients,,https://github.com/googleapis/google-cloud-python,https://github.com/googleapis/google-cloud-python,Apache-2.0,2014-01-28 15:51:47.000000,2020-12-16 16:42:20.918000,2020-10-29 21:15:18.000000,1333.0,22.0,3313.0,3441.0,9049.0,2020-12-14 23:49:51.000000,1.35.0,100.0,Google Cloud Client Library for Python.,2108.0,,311.0,35,https://pypi.org/project/google-cloud-storage,2020-12-14 23:49:51.000000,2108.0,14080444.0,14093744.0,https://anaconda.org/conda-forge/google-cloud-storage,2020-12-16 16:42:20.918000,558630.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n38,elasticsearch,elastic/elasticsearch-py,elasticsearch,conda-forge/elasticsearch,,db-clients,,https://github.com/elastic/elasticsearch-py,https://github.com/elastic/elasticsearch-py,Apache-2.0,2013-05-01 22:47:39.000000,2020-12-24 19:59:17.000000,2020-12-22 20:25:27.000000,957.0,71.0,771.0,3044.0,1259.0,2020-12-09 17:27:30.000000,7.10.1,64.0,Official Python low-level client for Elasticsearch.,29640.0,19066.0,168.0,35,https://pypi.org/project/elasticsearch,2020-12-09 17:25:00.000000,10574.0,3705030.0,3711431.0,https://anaconda.org/conda-forge/elasticsearch,2020-12-11 18:29:47.476000,344240.0,True,1,54.0,,,,,,,,,,,,,,,,,,,,,,,,,\n39,psycopg2,psycopg/psycopg2,psycopg2,psycopg2,,db-clients,,https://github.com/psycopg/psycopg2,https://github.com/psycopg/psycopg2,BSD-3-Clause-Attribution,2013-01-21 11:05:11.000000,2020-12-25 15:42:39.583000,2020-12-16 23:41:45.000000,361.0,44.0,925.0,2013.0,2871.0,2020-12-25 13:51:59.000000,2.8.6,45.0,PostgreSQL database adapter for the Python programming language.,404820.0,285608.0,111.0,35,https://pypi.org/project/psycopg2,2020-09-06 22:41:27.000000,119212.0,5015209.0,5015662.0,https://anaconda.org/anaconda/psycopg2,2020-12-16 23:03:43.011000,27684.0,False,1,,,,,,,,,,,,,,0.0,,,,,,,,,,,,\n40,MXNet,apache/incubator-mxnet,mxnet,mxnet,,ml-frameworks,['mxnet'],https://github.com/apache/incubator-mxnet,https://github.com/apache/incubator-mxnet,Apache-2.0,2015-04-30 16:21:15.000000,2020-12-24 14:27:09.000000,2020-12-24 14:27:07.000000,6790.0,1807.0,7540.0,19195.0,11491.0,2020-08-28 05:08:24.000000,1.7.0,976.0,\"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..\",2122.0,1678.0,946.0,34,https://pypi.org/project/mxnet,2020-08-28 06:18:15.000000,444.0,131236.0,131815.0,https://anaconda.org/anaconda/mxnet,2020-02-29 00:58:31.007000,5636.0,True,2,23299.0,,,,,,,,,,,,,0.0,,,,,,,,,,,,\n41,dash,plotly/dash,dash,conda-forge/dash,,data-viz,,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000000,2020-12-27 00:20:17.000000,2020-12-18 15:14:48.000000,1377.0,387.0,549.0,13593.0,3542.0,2020-12-09 22:01:52.000000,1.18.1,136.0,\"Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.\",17548.0,15940.0,68.0,34,https://pypi.org/project/dash,2020-12-09 21:34:25.000000,1608.0,244728.0,251268.0,https://anaconda.org/conda-forge/dash,2020-12-11 15:37:58.126000,202763.0,True,1,,,,,,,,,,,,,,,True,,,,,,,,,,,\n42,nltk,nltk/nltk,nltk,conda-forge/nltk,,nlp,,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58.000000,2020-12-23 09:08:07.000000,2020-12-23 09:08:06.000000,2397.0,243.0,1218.0,9507.0,,2019-08-20 10:55:21.000000,3.4.5,39.0,Suite of libraries and programs for symbolic and statistical natural language processing for English.,104804.0,83812.0,384.0,34,https://pypi.org/project/nltk,2020-04-12 23:46:10.000000,20992.0,4201791.0,4213479.0,https://anaconda.org/conda-forge/nltk,2019-08-08 17:07:46.504000,607816.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n43,kafka-python,dpkp/kafka-python,kafka-python,conda-forge/kafka-python,,db-clients,,https://github.com/dpkp/kafka-python,https://github.com/dpkp/kafka-python,Apache-2.0,2012-09-24 13:00:26.000000,2020-12-23 14:52:53.000000,2020-12-02 14:45:13.000000,1099.0,135.0,1148.0,4142.0,2152.0,2020-09-30 07:33:37.000000,2.0.1,36.0,Python client for Apache Kafka.,7576.0,5556.0,202.0,34,https://pypi.org/project/kafka-python,2020-09-30 07:24:01.000000,2020.0,1974945.0,1980369.0,https://anaconda.org/conda-forge/kafka-python,2020-09-30 13:01:38.284000,232332.0,True,2,1666.0,,,,,,,,,,,,,,,,,,,,,,,,,\n44,Bokeh,bokeh/bokeh,bokeh,conda-forge/bokeh,,data-viz,,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000000,2020-12-26 21:40:51.000000,2020-12-22 10:39:03.000000,3591.0,590.0,5713.0,14436.0,,2020-10-21 02:39:03.000000,2.2.3,81.0,\"Interactive Data Visualization in the browser, from Python.\",35073.0,29201.0,541.0,33,https://pypi.org/project/bokeh,2020-12-08 11:21:40.000000,5872.0,1040315.0,1119693.0,https://anaconda.org/conda-forge/bokeh,2020-11-23 14:37:30.508000,3492659.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n45,Ray,ray-project/ray,ray,,,distributed-ml,,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000000,2020-12-27 15:27:01.000000,2020-12-27 14:46:03.000000,2258.0,1173.0,4373.0,14193.0,6791.0,2020-12-24 10:13:39.000000,1.1.0,43.0,\"An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged..\",1551.0,1391.0,410.0,33,https://pypi.org/project/ray,2020-12-24 10:13:39.000000,160.0,215279.0,215279.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n46,luigi,spotify/luigi,luigi,luigi,,data-pipelines,,https://github.com/spotify/luigi,https://github.com/spotify/luigi,Apache-2.0,2012-09-20 15:06:38.000000,2020-12-24 05:44:15.000000,2020-12-10 19:36:46.000000,2208.0,67.0,835.0,14050.0,3939.0,2020-09-23 11:57:43.000000,3.0.2,72.0,\"Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution,..\",1967.0,1291.0,546.0,33,https://pypi.org/project/luigi,2020-09-23 11:57:12.000000,676.0,385446.0,385553.0,https://anaconda.org/anaconda/luigi,2020-07-21 19:50:10.849000,6215.0,True,1,,stable/luigi,,,,,,,,,,,,,,,,,,,,,,,,\n47,shap,slundberg/shap,shap,conda-forge/shap,,interpretability,,https://github.com/slundberg/shap,https://github.com/slundberg/shap,MIT,2016-11-22 19:17:08.000000,2020-12-24 23:28:23.000000,2020-12-24 23:28:15.000000,1603.0,866.0,490.0,11234.0,1743.0,2020-11-04 21:38:32.000000,0.37.0,92.0,A game theoretic approach to explain the output of any machine learning model.,1929.0,1793.0,141.0,33,https://pypi.org/project/shap,2020-11-04 21:38:32.000000,136.0,712365.0,724458.0,https://anaconda.org/conda-forge/shap,2020-12-16 19:26:39.477000,338612.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n48,pytorch-lightning,PyTorchLightning/pytorch-lightning,pytorch-lightning,conda-forge/pytorch-lightning,,ml-frameworks,['pytorch'],https://github.com/PyTorchLightning/pytorch-lightning,https://github.com/PyTorchLightning/pytorch-lightning,Apache-2.0,2019-03-31 00:45:57.000000,2020-12-27 13:05:55.000000,2020-12-26 23:22:53.000000,1255.0,359.0,2293.0,10992.0,4010.0,2020-12-23 09:49:58.000000,1.1.2,144.0,\"The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.\",1528.0,1514.0,351.0,33,https://pypi.org/project/pytorch-lightning,2020-12-23 09:49:58.000000,14.0,106378.0,108442.0,https://anaconda.org/conda-forge/pytorch-lightning,2020-12-23 13:11:44.339000,12389.0,True,2,14.0,,,,,,,,,,,,,,,,,,,,,,,,,\n49,dlib,davisking/dlib,dlib,conda-forge/dlib,,ml-frameworks,,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000000,2020-12-27 14:19:23.000000,2020-12-19 01:12:12.000000,2832.0,46.0,1796.0,9747.0,7894.0,2020-12-04 19:23:04.000000,19.21.1,28.0,A toolkit for making real world machine learning and data analysis applications in C++.,9050.0,7692.0,162.0,33,https://pypi.org/project/dlib,2020-12-04 19:23:04.000000,1358.0,79525.0,84909.0,https://anaconda.org/conda-forge/dlib,2020-12-05 11:14:31.456000,255916.0,False,2,24279.0,,,,,,,,,,,,,,True,,,,,,,,,,,\n50,onnx,onnx/onnx,onnx,conda-forge/onnx,,model-serialisation,,https://github.com/onnx/onnx,https://github.com/onnx/onnx,MIT,2017-09-07 04:53:45.000000,2020-12-24 01:20:25.000000,2020-12-20 04:37:49.000000,1723.0,501.0,909.0,9549.0,1653.0,2020-11-07 00:55:30.000000,1.8.0,19.0,Open standard for machine learning interoperability.,2589.0,2293.0,188.0,33,https://pypi.org/project/onnx,2020-11-06 22:46:10.000000,296.0,326363.0,331401.0,https://anaconda.org/conda-forge/onnx,2020-11-10 11:04:34.755000,177297.0,True,1,9403.0,,,,,,,,,,,,,,,,,,,,,,,,,\n51,mlflow,mlflow/mlflow,mlflow,conda-forge/mlflow,,ml-experiments,,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000000,2020-12-27 10:46:38.000000,2020-12-25 08:58:16.000000,1815.0,651.0,1015.0,8058.0,1821.0,2020-12-25 07:36:45.000000,1.13.0,39.0,Open source platform for the machine learning lifecycle.,1861.0,1707.0,268.0,33,https://pypi.org/project/mlflow,2020-12-25 06:39:50.000000,154.0,2571886.0,2581425.0,https://anaconda.org/conda-forge/mlflow,2020-12-16 08:15:02.743000,190798.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n52,peewee,coleifer/peewee,peewee,conda-forge/peewee,,db-clients,,https://github.com/coleifer/peewee,https://github.com/coleifer/peewee,MIT,2010-10-11 20:14:11.000000,2020-11-26 16:40:21.000000,2020-11-26 16:31:52.000000,1254.0,1.0,1908.0,8029.0,4280.0,2020-11-07 18:48:43.000000,3.14.0,165.0,\"a small, expressive orm -- supports postgresql, mysql and sqlite.\",18096.0,11632.0,144.0,33,https://pypi.org/project/peewee,2020-11-07 18:47:45.000000,6464.0,178644.0,183704.0,https://anaconda.org/conda-forge/peewee,2020-11-11 21:24:13.453000,268195.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n53,python-bigquery,googleapis/python-bigquery,google-cloud-bigquery,,,db-clients,,https://github.com/googleapis/python-bigquery,https://github.com/googleapis/python-bigquery,Apache-2.0,2019-12-10 00:09:04.000000,2020-12-26 17:06:14.000000,2020-12-22 22:20:48.000000,1333.0,43.0,161.0,3426.0,1068.0,2020-12-09 21:06:40.000000,2.6.1,74.0,Google BigQuery API client library.,7394.0,6144.0,86.0,33,https://pypi.org/project/google-cloud-bigquery,2020-12-09 21:06:40.000000,1250.0,9448700.0,9448700.0,,,,True,2,,,,,,,,,,,,,,,True,,,,,,,,,,,\n54,xlrd,python-excel/xlrd,xlrd,conda-forge/xlrd,,data-loading,,https://github.com/python-excel/xlrd,https://github.com/python-excel/xlrd,BSD-3-Clause,2012-03-07 04:50:48.000000,2020-12-12 15:24:26.000000,2020-12-12 15:24:25.000000,406.0,3.0,,1834.0,502.0,2020-12-11 10:14:20.000000,2.0.1,24.0,Please use openpyxl where you can...,73573.0,59999.0,50.0,33,https://pypi.org/project/xlrd,2020-12-11 10:14:20.000000,13574.0,5573837.0,5598623.0,https://anaconda.org/conda-forge/xlrd,2020-07-25 21:25:25.518000,1115401.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n55,Fastai,fastai/fastai,fastai,,,ml-frameworks,['pytorch'],https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000000,2020-12-27 02:43:40.000000,2020-12-27 02:43:37.000000,6874.0,59.0,1275.0,20187.0,1612.0,2020-12-22 20:02:47.000000,2.1.10,110.0,\"The fastai deep learning library, plus lessons and tutorials.\",368.0,,472.0,32,https://pypi.org/project/fastai,2020-12-22 20:02:53.000000,368.0,107271.0,107271.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n56,jax,google/jax,jax,conda-forge/jaxlib,,ml-frameworks,,https://github.com/google/jax,https://github.com/google/jax,Apache-2.0,2018-10-25 21:25:02.000000,2020-12-27 15:03:53.000000,2020-12-24 06:42:10.000000,891.0,685.0,1321.0,10834.0,6377.0,2020-12-05 06:20:45.000000,0.2.7,86.0,\"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.\",958.0,912.0,239.0,32,https://pypi.org/project/jax,2020-12-05 06:20:45.000000,46.0,79121.0,82876.0,https://anaconda.org/conda-forge/jaxlib,2020-10-14 04:33:18.732000,63849.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n57,tensor2tensor,tensorflow/tensor2tensor,tensor2tensor,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/tensor2tensor,https://github.com/tensorflow/tensor2tensor,Apache-2.0,2017-06-15 16:57:39.000000,2020-12-15 01:23:04.000000,2020-11-16 14:28:10.000000,2688.0,545.0,662.0,10722.0,4345.0,2020-06-17 16:15:36.000000,1.15.7,79.0,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,950.0,868.0,230.0,32,https://pypi.org/project/tensor2tensor,2020-06-17 16:15:36.000000,82.0,61991.0,61991.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n58,imgaug,aleju/imgaug,imgaug,conda-forge/imgaug,,image,,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33.000000,2020-10-19 12:23:22.000000,2020-06-01 14:58:26.000000,1943.0,212.0,203.0,10451.0,2913.0,2020-02-06 06:18:40.000000,0.4.0,11.0,Image augmentation for machine learning experiments.,5148.0,4870.0,36.0,32,https://pypi.org/project/imgaug,2020-02-05 20:54:22.000000,278.0,149505.0,151174.0,https://anaconda.org/conda-forge/imgaug,2020-02-14 16:06:53.525000,30042.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n59,Rasa,RasaHQ/rasa,rasa,,,nlp,['tensorflow'],https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49.000000,2020-12-24 17:57:56.000000,2020-12-22 11:49:25.000000,3153.0,499.0,4292.0,10411.0,24092.0,2020-12-21 18:34:10.000000,2.2.2,174.0,\"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..\",64.0,,452.0,32,https://pypi.org/project/rasa,2020-12-21 18:34:01.000000,64.0,69423.0,69423.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n60,Chainer,chainer/chainer,chainer,,,ml-frameworks,,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37.000000,2020-12-23 09:08:21.000000,2020-12-23 09:08:19.000000,1371.0,16.0,2016.0,5508.0,30550.0,2020-07-30 09:01:53.000000,7.7.0,108.0,A flexible framework of neural networks for deep learning.,2505.0,1763.0,319.0,32,https://pypi.org/project/chainer,2020-07-30 09:01:53.000000,742.0,20060.0,20060.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n61,PyMC3,pymc-devs/pymc3,pymc3,conda-forge/pymc3,,probabilistics,,https://github.com/pymc-devs/pymc3,https://github.com/pymc-devs/pymc3,Apache-2.0,2009-05-05 09:43:50.000000,2020-12-27 10:30:12.000000,2020-12-26 15:19:31.000000,1316.0,152.0,1944.0,5451.0,7608.0,2020-12-07 15:59:43.000000,3.10.0,30.0,Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano.,2156.0,1870.0,301.0,32,https://pypi.org/project/pymc3,2020-12-07 15:45:00.000000,286.0,124431.0,129168.0,https://anaconda.org/conda-forge/pymc3,2020-12-07 20:54:14.048000,236825.0,True,1,145.0,,,,,,,,,,,,,,,,,,,,,,,,,\n62,Beam,apache/beam,apache-beam,,,data-pipelines,,https://github.com/apache/beam,https://github.com/apache/beam,Apache-2.0,2016-02-02 08:00:06.000000,2020-12-27 01:57:51.000000,2020-12-25 21:27:01.000000,2739.0,115.0,,4470.0,30066.0,2020-12-11 21:24:20.000000,2.26.0,29.0,\"Unified programming model to define and execute data processing pipelines, including ETL, batch and stream processing.\",186.0,,985.0,32,https://pypi.org/project/apache-beam,2020-12-11 19:58:03.000000,186.0,1712114.0,1712114.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n63,xmltodict,martinblech/xmltodict,xmltodict,conda-forge/xmltodict,,data-loading,,https://github.com/martinblech/xmltodict,https://github.com/martinblech/xmltodict,MIT,2012-04-17 14:38:21.000000,2020-11-05 01:54:38.000000,2020-04-26 05:15:03.000000,393.0,63.0,134.0,4210.0,205.0,2019-02-11 07:00:26.000000,0.12.0,27.0,Python module that makes working with XML feel like you are working with JSON.,27834.0,19600.0,41.0,32,https://pypi.org/project/xmltodict,2019-02-11 07:00:26.000000,8234.0,4083879.0,4094931.0,https://anaconda.org/conda-forge/xmltodict,2019-02-11 11:53:14.803000,574746.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n64,Tablib,jazzband/tablib,tablib,conda-forge/tablib,,data-loading,,https://github.com/jazzband/tablib,https://github.com/jazzband/tablib,MIT,2011-03-28 02:36:50.000000,2020-12-13 06:03:08.000000,2020-12-11 07:22:54.000000,557.0,34.0,197.0,3822.0,1123.0,2020-12-05 14:56:28.000000,3.0.0,38.0,\"Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c.\",11204.0,8846.0,110.0,32,https://pypi.org/project/tablib,2020-12-05 14:56:28.000000,2358.0,595316.0,596449.0,https://anaconda.org/conda-forge/tablib,2020-12-05 16:40:48.469000,55556.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n65,geopy,geopy/geopy,geopy,conda-forge/geopy,,geospatial-data,,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000000,2020-12-27 14:22:55.127000,2020-12-27 13:01:17.000000,524.0,24.0,211.0,3118.0,1002.0,2020-12-27 13:15:23.000000,2.1.0,57.0,Geocoding library for Python.,22166.0,14922.0,117.0,32,https://pypi.org/project/geopy,2020-12-27 13:12:21.000000,7244.0,2824775.0,2833374.0,https://anaconda.org/conda-forge/geopy,2020-12-27 14:22:55.127000,490150.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n66,tensorflow-hub,tensorflow/hub,tensorflow-hub,conda-forge/tensorflow-hub,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42.000000,2020-12-19 09:36:10.000000,2020-12-16 13:50:57.000000,1409.0,44.0,490.0,2664.0,805.0,2020-10-29 15:10:15.000000,0.10.0,13.0,A library for transfer learning by reusing parts of TensorFlow models.,5121.0,4807.0,65.0,32,https://pypi.org/project/tensorflow-hub,2020-10-29 14:53:02.000000,314.0,1105944.0,1107546.0,https://anaconda.org/conda-forge/tensorflow-hub,2020-08-24 16:43:36.561000,48074.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n67,TensorFlow Datasets,tensorflow/datasets,tensorflow-datasets,,,data-loading,['tensorflow'],https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000000,2020-12-22 23:06:13.000000,2020-12-18 21:04:47.000000,888.0,380.0,497.0,2582.0,3639.0,2020-11-04 12:02:52.000000,4.1.0,19.0,\"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...\",3296.0,3194.0,177.0,32,https://pypi.org/project/tensorflow-datasets,2020-10-09 17:47:49.000000,102.0,544399.0,544399.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n68,Thinc,explosion/thinc,thinc,conda-forge/thinc,,ml-frameworks,,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59.000000,2020-12-23 17:07:54.000000,2020-12-16 11:39:31.000000,185.0,14.0,80.0,2126.0,4865.0,2020-12-11 09:45:43.000000,7.4.5,182.0,\"A refreshing functional take on deep learning, compatible with your favorite libraries.\",11380.0,10242.0,33.0,32,https://pypi.org/project/thinc,2020-12-16 23:18:41.000000,1138.0,889542.0,907624.0,https://anaconda.org/conda-forge/thinc,2020-12-18 09:40:27.092000,831775.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n69,xarray,pydata/xarray,xarray,conda-forge/xarray,,data-containers,,https://github.com/pydata/xarray,https://github.com/pydata/xarray,Apache-2.0,2013-09-30 17:21:10.000000,2020-12-26 15:47:44.000000,2020-12-24 16:29:44.000000,609.0,766.0,1853.0,1880.0,3444.0,2020-11-30 21:28:55.000000,0.16.2,55.0,N-D labeled arrays and datasets in Python.,5851.0,4719.0,286.0,32,https://pypi.org/project/xarray,2020-11-30 21:26:20.000000,1132.0,290554.0,329039.0,https://anaconda.org/conda-forge/xarray,2020-12-01 04:59:09.242000,2193671.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n70,imageio,imageio/imageio,imageio,conda-forge/imageio,,image,,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000000,2020-12-11 13:32:14.000000,2020-12-07 13:48:21.000000,160.0,60.0,269.0,817.0,1125.0,2020-07-10 07:45:22.000000,2.9.0,31.0,Python library for reading and writing image data.,37755.0,33917.0,69.0,32,https://pypi.org/project/imageio,2020-07-06 13:20:41.000000,3838.0,1840746.0,1874271.0,https://anaconda.org/conda-forge/imageio,2020-07-06 14:13:25.518000,1575676.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n71,DeepSpeech,mozilla/DeepSpeech,deepspeech,,,audio,['tensorflow'],https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53.000000,2020-12-23 13:07:42.000000,2020-12-19 09:28:21.000000,2971.0,85.0,1820.0,16138.0,3329.0,2020-12-10 17:22:09.000000,0.9.3,100.0,\"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..\",399.0,370.0,152.0,31,https://pypi.org/project/deepspeech,2020-12-19 10:05:12.000000,29.0,16945.0,31096.0,,,,True,1,382080.0,,,,,,,,,,,,,,,,,,,,,,,,,\n72,ChatterBot,gunthercox/ChatterBot,chatterbot,,,nlp,,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00.000000,2020-12-23 21:20:40.000000,2020-08-20 21:16:14.000000,3563.0,200.0,1218.0,10666.0,1847.0,2020-08-22 18:42:43.000000,1.0.8,86.0,\"ChatterBot is a machine learning, conversational dialog engine for creating chat bots.\",3678.0,2998.0,103.0,31,https://pypi.org/project/chatterbot,2020-08-22 18:40:36.000000,680.0,23464.0,23464.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n73,pyecharts,pyecharts/pyecharts,pyecharts,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,data-viz,['jupyter'],https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000000,2020-12-23 04:48:43.000000,2020-12-23 04:48:42.000000,2291.0,28.0,1317.0,10272.0,1510.0,2020-10-29 15:14:08.000000,1.9.0,66.0,Python Echarts Plotting Library.,1677.0,1395.0,29.0,31,https://pypi.org/project/pyecharts,2020-10-29 15:14:08.000000,282.0,32313.0,32313.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n74,wordcloud,amueller/word_cloud,wordcloud,conda-forge/wordcloud,,data-viz,,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59.000000,2020-11-16 19:55:57.630000,2020-11-11 21:35:51.000000,2001.0,91.0,343.0,7748.0,540.0,2020-11-11 21:41:02.000000,1.8.1,16.0,A little word cloud generator in Python.,9195.0,8091.0,58.0,31,https://pypi.org/project/wordcloud,2020-11-11 21:41:02.000000,1104.0,245727.0,249162.0,https://anaconda.org/conda-forge/wordcloud,2020-11-16 19:55:57.630000,178642.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n75,Catboost,catboost/catboost,catboost,conda-forge/catboost,,ml-frameworks,,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000000,2020-12-27 13:24:41.000000,2020-12-27 13:24:37.000000,854.0,298.0,1026.0,5615.0,14046.0,2020-12-27 09:12:53.000000,0.24.4,91.0,\"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..\",162.0,,709.0,31,https://pypi.org/project/catboost,2020-12-27 06:58:33.000000,162.0,660029.0,678710.0,https://anaconda.org/conda-forge/catboost,2020-11-18 15:48:17.661000,542348.0,True,2,46268.0,,,,,,,,,,,,,,,,,,,,,,,,,\n76,Hyperopt,hyperopt/hyperopt,hyperopt,conda-forge/hyperopt,,hyperopt,,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59.000000,2020-12-24 07:20:11.000000,2020-12-24 07:20:10.000000,841.0,323.0,219.0,5291.0,1168.0,2020-10-07 09:52:56.000000,0.2.5,11.0,Distributed Asynchronous Hyperparameter Optimization in Python.,2919.0,2415.0,84.0,31,https://pypi.org/project/hyperopt,2020-10-07 09:52:56.000000,504.0,468939.0,474372.0,https://anaconda.org/conda-forge/hyperopt,2020-10-14 07:57:14.292000,146706.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n77,folium,python-visualization/folium,folium,conda-forge/folium,,geospatial-data,,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000000,2020-12-23 13:00:10.000000,2020-12-23 12:54:35.000000,1864.0,143.0,681.0,5055.0,1464.0,2020-05-07 13:33:22.000000,0.11.0,22.0,Python Data. Leaflet.js Maps.,8781.0,7813.0,119.0,31,https://pypi.org/project/folium,2020-05-07 13:33:22.000000,968.0,249068.0,254471.0,https://anaconda.org/conda-forge/folium,2020-05-07 14:25:29.817000,308005.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n78,sentencepiece,google/sentencepiece,sentencepiece,conda-forge/sentencepiece,,nlp,,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000000,2020-12-12 08:07:26.000000,2020-12-12 08:07:24.000000,602.0,34.0,363.0,4668.0,639.0,2020-10-24 05:57:45.000000,0.1.94,29.0,Unsupervised text tokenizer for Neural Network-based text generation.,5222.0,5102.0,46.0,31,https://pypi.org/project/sentencepiece,2020-10-24 05:57:45.000000,120.0,1059291.0,1063639.0,https://anaconda.org/conda-forge/sentencepiece,2020-10-10 10:54:37.164000,20134.0,True,1,9021.0,,,,,,,,,,,,,,,,,,,,,,,,,\n79,Optuna,optuna/optuna,optuna,conda-forge/optuna,,hyperopt,,https://github.com/optuna/optuna,https://github.com/optuna/optuna,MIT,2018-02-21 06:12:56.000000,2020-12-27 14:12:03.000000,2020-12-25 09:31:00.000000,434.0,161.0,447.0,3793.0,8599.0,2020-11-04 04:28:46.000000,2.3.0,33.0,A hyperparameter optimization framework.,862.0,810.0,120.0,31,https://pypi.org/project/optuna,2020-11-04 04:29:39.000000,52.0,168842.0,170056.0,https://anaconda.org/conda-forge/optuna,2020-11-11 01:21:26.236000,15791.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n80,tensorflow-probability,tensorflow/probability,tensorflow-probability,conda-forge/tensorflow-probability,,probabilistics,['tensorflow'],https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000000,2020-12-23 22:36:15.000000,2020-12-23 22:36:10.000000,838.0,421.0,509.0,3173.0,10135.0,2020-10-09 23:49:08.000000,0.11.1,33.0,Probabilistic reasoning and statistical analysis in TensorFlow.,253.0,1.0,397.0,31,https://pypi.org/project/tensorflow-probability,2020-12-09 04:59:50.000000,252.0,273501.0,274789.0,https://anaconda.org/conda-forge/tensorflow-probability,2020-03-13 21:04:53.147000,28354.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n81,Elasticsearch DSL,elastic/elasticsearch-dsl-py,elasticsearch-dsl,,,db-clients,,https://github.com/elastic/elasticsearch-dsl-py,https://github.com/elastic/elasticsearch-dsl-py,Apache-2.0,2014-03-05 16:19:39.000000,2020-12-18 15:29:56.000000,2020-12-08 20:53:06.000000,665.0,54.0,1093.0,3121.0,1007.0,2020-09-17 13:45:33.000000,7.3.0,32.0,High level Python client for Elasticsearch.,5620.0,4064.0,121.0,31,https://pypi.org/project/elasticsearch-dsl,2020-09-17 13:41:36.000000,1556.0,908195.0,908202.0,,,,True,2,21.0,,,,,,,,,,,,,,,,,,,,,,,,,\n82,GeoPandas,geopandas/geopandas,geopandas,conda-forge/geopandas,,geospatial-data,['pandas'],https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000000,2020-12-27 14:46:53.000000,2020-12-27 14:30:35.000000,528.0,294.0,651.0,2406.0,1305.0,2020-07-15 17:59:00.000000,0.8.1,34.0,Python tools for geographic data.,7839.0,6673.0,127.0,31,https://pypi.org/project/geopandas,2020-06-24 13:38:40.000000,1166.0,417801.0,431673.0,https://anaconda.org/conda-forge/geopandas,2020-07-16 18:56:42.068000,789870.0,True,1,831.0,,,,,,,,,,,,,,,-1.0,,,,,,,,,,\n83,scikit-optimize,scikit-optimize/scikit-optimize,scikit-optimize,conda-forge/scikit-optimize,,hyperopt,,https://github.com/scikit-optimize/scikit-optimize,https://github.com/scikit-optimize/scikit-optimize,BSD-3-Clause,2016-03-20 21:10:54.000000,2020-12-04 21:07:23.000000,2020-09-29 13:32:21.000000,366.0,160.0,353.0,1992.0,1540.0,2020-09-04 09:08:10.000000,0.8.1,22.0,Sequential model-based optimization with a `scipy.optimize` interface.,1414.0,1254.0,67.0,31,https://pypi.org/project/scikit-optimize,2020-09-04 09:08:10.000000,160.0,503541.0,507850.0,https://anaconda.org/conda-forge/scikit-optimize,2020-09-04 09:50:52.372000,176681.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n84,Prometheus Client,prometheus/client_python,prometheus_client,conda-forge/prometheus_client,,db-clients,,https://github.com/prometheus/client_python,https://github.com/prometheus/client_python,Apache-2.0,2015-02-10 22:47:25.000000,2020-12-27 15:10:26.000000,2020-11-24 10:28:43.000000,499.0,26.0,285.0,1940.0,406.0,2020-11-16 13:40:13.000000,0.9.0,33.0,Prometheus instrumentation library for Python applications.,3738.0,,95.0,31,https://pypi.org/project/prometheus_client,2019-06-20 13:35:09.000000,3738.0,11652050.0,11695345.0,https://anaconda.org/conda-forge/prometheus_client,2020-11-16 16:13:46.080000,2164790.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n85,MNE,mne-tools/mne-python,mne,conda-forge/mne,,medical-data,,https://github.com/mne-tools/mne-python,https://github.com/mne-tools/mne-python,BSD-3-Clause,2011-01-28 03:31:13.000000,2020-12-25 21:45:58.000000,2020-12-25 21:45:57.000000,836.0,298.0,3060.0,1460.0,15672.0,2020-12-17 15:32:54.000000,0.22.0,50.0,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,957.0,759.0,237.0,31,https://pypi.org/project/mne,2020-12-17 15:32:54.000000,198.0,35248.0,37286.0,https://anaconda.org/conda-forge/mne,2020-12-20 21:44:36.472000,93748.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n86,influxdb,influxdata/influxdb-python,influxdb,conda-forge/influxdb,,db-clients,,https://github.com/influxdata/influxdb-python,https://github.com/influxdata/influxdb-python,MIT,2013-11-05 19:27:16.000000,2020-12-26 00:40:40.000000,2020-11-11 21:03:24.000000,479.0,130.0,366.0,1443.0,961.0,2020-11-11 21:23:41.000000,5.3.1,54.0,Python client for InfluxDB.,5892.0,3782.0,133.0,31,https://pypi.org/project/influxdb,2020-11-11 21:23:41.000000,2110.0,1061516.0,1062512.0,https://anaconda.org/conda-forge/influxdb,2020-11-12 02:29:15.949000,7968.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n87,Cassandra Driver,datastax/python-driver,cassandra-driver,conda-forge/cassandra-driver,,db-clients,,https://github.com/datastax/python-driver,https://github.com/datastax/python-driver,Apache-2.0,2013-07-08 19:02:31.000000,2020-11-30 17:16:16.000000,2020-11-11 00:22:01.000000,446.0,13.0,,1201.0,5939.0,2020-06-18 14:44:49.000000,3.24.0,70.0,DataStax Python Driver for Apache Cassandra.,3518.0,2332.0,174.0,31,https://pypi.org/project/cassandra-driver,2020-06-18 14:44:49.000000,1186.0,565905.0,567258.0,https://anaconda.org/conda-forge/cassandra-driver,2020-10-12 14:49:43.415000,59563.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n88,feedparser,kurtmckee/feedparser,feedparser,,,web-scraping,,https://github.com/kurtmckee/feedparser,https://github.com/kurtmckee/feedparser,BSD-2-Clause,2010-11-26 02:53:24.000000,2020-12-27 07:39:05.000000,2020-12-27 07:25:13.000000,254.0,66.0,108.0,1159.0,1040.0,2020-10-25 17:38:15.000000,6.0.2,15.0,Parse feeds in Python.,13774.0,,42.0,31,https://pypi.org/project/feedparser,2020-10-25 17:38:15.000000,13774.0,531414.0,531414.0,,,,True,1,,,,,,,,,,,,,,,True,,,,,,,,,,,\n89,fastText,facebookresearch/fastText,fasttext,conda-forge/fasttext,,nlp,,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000000,2020-10-31 15:50:36.000000,2020-07-18 00:20:40.000000,4198.0,400.0,588.0,22064.0,379.0,2020-04-28 09:54:50.000000,0.9.2,35.0,Library for fast text representation and classification.,1580.0,1390.0,58.0,30,https://pypi.org/project/fasttext,2020-04-28 09:54:50.000000,190.0,117779.0,118225.0,https://anaconda.org/conda-forge/fasttext,2020-10-12 14:55:45.199000,16951.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n90,PaddlePaddle,PaddlePaddle/Paddle,paddlepaddle,,,ml-frameworks,['paddle'],https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000000,2020-12-27 14:28:33.000000,2020-12-26 03:47:37.000000,3354.0,2271.0,10168.0,13654.0,15069.0,2020-12-18 09:06:54.000000,2.0.0-rc1,41.0,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,38.0,22.0,486.0,30,https://pypi.org/project/paddlepaddle,2020-12-14 08:03:41.000000,16.0,8260.0,8553.0,,,,True,2,15245.0,,,,,,,,,,,,,,,,,,,,,,,,,\n91,zipline,quantopian/zipline,zipline,,,financial-data,,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29.000000,2020-12-18 13:20:06.000000,2020-10-14 16:36:49.000000,3590.0,318.0,645.0,12985.0,6226.0,2020-10-05 15:46:20.429000,1.4.1,30.0,\"Zipline, a Pythonic Algorithmic Trading Library.\",737.0,658.0,151.0,30,https://pypi.org/project/zipline,2020-10-05 15:46:20.429000,79.0,3942.0,3942.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n92,Prophet,facebook/prophet,fbprophet,,,time-series-data,,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000000,2020-12-22 09:17:09.000000,2020-12-08 23:35:54.000000,3393.0,94.0,1391.0,12011.0,603.0,2020-09-05 16:12:50.000000,0.7.1,14.0,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,150.0,,121.0,30,https://pypi.org/project/fbprophet,2020-09-05 16:12:50.000000,150.0,672875.0,672886.0,,,,True,1,519.0,,,,,,,,,,,,,,,,,,,,,,,,,\n93,fairseq,pytorch/fairseq,fairseq,,,nlp,['pytorch'],https://github.com/pytorch/fairseq,https://github.com/pytorch/fairseq,MIT,2017-08-29 16:26:12.000000,2020-12-24 02:36:00.000000,2020-12-24 02:35:54.000000,2691.0,569.0,1718.0,10796.0,1685.0,2020-11-21 20:52:43.000000,0.10.1,12.0,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,273.0,253.0,281.0,30,https://pypi.org/project/fairseq,2020-11-21 20:52:43.000000,20.0,8033.0,8034.0,,,,True,1,49.0,,,,,,,,,,,,,,,-1.0,,,,,,,,,,\n94,horovod,horovod/horovod,horovod,,,distributed-ml,,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000000,2020-12-23 22:57:40.000000,2020-12-22 15:22:03.000000,1681.0,254.0,1364.0,10609.0,832.0,2020-11-23 23:57:42.000000,0.21.0,60.0,\"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.\",322.0,302.0,109.0,30,https://pypi.org/project/horovod,2020-10-01 14:54:24.000000,20.0,112162.0,112162.0,,,,True,1,,stable/horovod,,,,,,,,,,,,,,,,,,,,,,,,\n95,flair,flairNLP/flair,flair,,,nlp,['pytorch'],https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,MIT,2018-06-11 11:04:18.000000,2020-12-27 10:44:56.000000,2020-12-17 06:42:58.000000,1405.0,113.0,1305.0,9725.0,2984.0,2020-12-01 19:35:00.000000,0.7,19.0,A very simple framework for state-of-the-art Natural Language Processing (NLP).,618.0,570.0,156.0,30,https://pypi.org/project/flair,2020-12-01 19:02:38.000000,48.0,36247.0,36247.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n96,TFlearn,tflearn/tflearn,tflearn,,,ml-frameworks,['tensorflow'],https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,MIT,2016-03-31 12:05:53.000000,2020-11-30 04:35:03.000000,2020-11-30 04:34:51.000000,2423.0,574.0,358.0,9485.0,613.0,2020-11-11 19:26:11.000000,0.5.0,8.0,Deep learning library featuring a higher-level API for TensorFlow.,3343.0,2862.0,128.0,30,https://pypi.org/project/tflearn,2020-11-11 19:13:47.000000,481.0,15013.0,15013.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n97,Vowpal Wabbit,VowpalWabbit/vowpal_wabbit,vowpalwabbit,,,ml-frameworks,,https://github.com/VowpalWabbit/vowpal_wabbit,https://github.com/VowpalWabbit/vowpal_wabbit,BSD-3-Clause,2009-07-31 19:36:58.000000,2020-12-25 00:01:12.000000,2020-12-24 10:19:21.000000,1696.0,161.0,855.0,7360.0,8971.0,2020-11-12 14:41:09.000000,8.9.0,12.0,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,95.0,87.0,296.0,30,https://pypi.org/project/vowpalwabbit,2020-11-12 14:41:09.000000,8.0,16174.0,16174.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n98,DVC,iterative/dvc,dvc,conda-forge/dvc,,ml-experiments,,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000000,2020-12-27 12:44:42.000000,2020-12-25 21:50:36.000000,656.0,489.0,2107.0,6953.0,6155.0,2020-12-23 11:40:04.000000,1.11.9,288.0,Data Version Control | Git for Data & Models.,552.0,506.0,199.0,30,https://pypi.org/project/dvc,2020-12-23 11:40:04.000000,46.0,59410.0,86223.0,https://anaconda.org/conda-forge/dvc,2020-12-23 13:52:17.036000,429078.0,True,1,15745.0,,dvc,,,,,,,,,,,,,2.0,dvc,dvc,,,,,,,,\n99,Prefect,PrefectHQ/prefect,prefect,conda-forge/prefect,,data-pipelines,,https://github.com/PrefectHQ/prefect,https://github.com/PrefectHQ/prefect,Apache-2.0,2018-06-29 21:59:26.000000,2020-12-25 09:21:40.000000,2020-12-24 16:17:47.000000,468.0,234.0,1252.0,5609.0,12923.0,2020-12-16 23:30:03.000000,0.14.0,77.0,The easiest way to automate your data.,218.0,216.0,168.0,30,https://pypi.org/project/prefect,2020-12-16 23:30:03.000000,2.0,34167.0,37170.0,https://anaconda.org/conda-forge/prefect,2020-12-17 01:40:58.976000,63072.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n100,SpeechRecognition,Uberi/speech_recognition,SpeechRecognition,conda-forge/speechrecognition,,audio,,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54.000000,2020-12-23 09:51:35.000000,2019-07-02 17:29:47.000000,1827.0,194.0,269.0,5304.0,360.0,2017-12-05 14:05:14.000000,3.8.1,52.0,\"Speech recognition module for Python, supporting several engines and APIs, online and offline.\",7314.0,6226.0,41.0,30,https://pypi.org/project/SpeechRecognition,2017-12-05 13:58:29.000000,1088.0,120252.0,122031.0,https://anaconda.org/conda-forge/speechrecognition,2020-10-10 22:21:01.100000,92527.0,False,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n101,imbalanced-learn,scikit-learn-contrib/imbalanced-learn,imbalanced-learn,conda-forge/imbalanced-learn,,others,['sklearn'],https://github.com/scikit-learn-contrib/imbalanced-learn,https://github.com/scikit-learn-contrib/imbalanced-learn,MIT,2014-08-16 05:08:26.000000,2020-12-23 12:15:04.000000,2020-11-03 21:43:11.000000,1024.0,47.0,401.0,4910.0,701.0,2020-06-09 10:45:32.000000,0.7.0,26.0,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,3878.0,3598.0,51.0,30,https://pypi.org/project/imbalanced-learn,2020-06-09 10:39:03.000000,280.0,779691.0,782411.0,https://anaconda.org/conda-forge/imbalanced-learn,2020-06-14 14:47:57.352000,103384.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n102,CuPy,cupy/cupy,cupy,conda-forge/cupy,,gpu-utilities,,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000000,2020-12-26 07:11:52.000000,2020-12-26 02:32:29.000000,430.0,366.0,851.0,4743.0,20162.0,2020-12-25 05:33:27.000000,8.3.0,85.0,A NumPy-compatible array library accelerated by CUDA.,819.0,627.0,253.0,30,https://pypi.org/project/cupy,2020-12-25 03:21:57.000000,192.0,8601.0,32584.0,https://anaconda.org/conda-forge/cupy,2020-10-29 21:40:07.267000,321060.0,True,1,3732.0,,,cupy/cupy,https://hub.docker.com/r/cupy/cupy,2020-12-26 02:37:29.941087,6.0,47549.0,,,,,,,,,,,,,,,,,,\n103,MLxtend,rasbt/mlxtend,mlxtend,conda-forge/mlxtend,,others,['sklearn'],https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16.000000,2020-12-26 00:44:28.000000,2020-12-26 00:44:27.000000,683.0,99.0,260.0,3264.0,1143.0,2020-11-26 04:18:15.000000,0.18.0,46.0,A library of extension and helper modules for Python's data analysis and machine learning libraries.,2355.0,2260.0,79.0,30,https://pypi.org/project/mlxtend,2020-11-26 04:18:15.000000,95.0,252456.0,256049.0,https://anaconda.org/conda-forge/mlxtend,2020-11-26 05:32:00.667000,147314.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n104,bqplot,bqplot/bqplot,bqplot,conda-forge/bqplot,,data-viz,['jupyter'],https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18.000000,2020-12-18 14:59:43.000000,2020-12-18 07:40:15.000000,404.0,186.0,313.0,2965.0,3200.0,2020-11-05 14:39:24.000000,0.12.19,87.0,Plotting library for IPython/Jupyter notebooks.,1256.0,1134.0,51.0,30,https://pypi.org/project/bqplot,2020-11-05 14:39:24.000000,112.0,14759.0,159506.0,https://anaconda.org/conda-forge/bqplot,2020-10-12 22:00:13.153000,444047.0,True,2,,,,,,,,,bqplot,https://www.npmjs.com/package/bqplot,2020-10-12 19:58:11.526000,10.0,136674.0,,,,,,,,,,,,,\n105,torchtext,pytorch/text,torchtext,,,nlp,['pytorch'],https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000000,2020-12-27 12:35:52.000000,2020-12-23 13:26:28.000000,584.0,261.0,310.0,2596.0,695.0,2020-12-10 17:03:55.000000,0.8.1,12.0,Data loaders and abstractions for text and NLP.,4085.0,3403.0,100.0,30,https://pypi.org/project/torchtext,2020-12-10 16:28:00.000000,682.0,97203.0,97203.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n106,mrjob,Yelp/mrjob,mrjob,conda-forge/mrjob,,data-pipelines,,https://github.com/Yelp/mrjob,https://github.com/Yelp/mrjob,Apache-2.0,2010-10-13 18:35:21.000000,2020-12-24 22:44:29.424000,2020-11-16 22:20:52.000000,590.0,199.0,1089.0,2523.0,8622.0,2020-09-17 22:26:01.000000,0.7.4,60.0,Run MapReduce jobs on Hadoop or Amazon Web Services.,750.0,638.0,142.0,30,https://pypi.org/project/mrjob,2020-09-17 22:26:01.000000,112.0,110338.0,116282.0,https://anaconda.org/conda-forge/mrjob,2020-12-24 22:44:29.424000,303162.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n107,confluent-kafka-python,confluentinc/confluent-kafka-python,confluent-kafka,,,db-clients,,https://github.com/confluentinc/confluent-kafka-python,https://github.com/confluentinc/confluent-kafka-python,Apache-2.0,2016-04-14 07:40:41.000000,2020-12-17 16:57:48.000000,2020-11-24 15:38:23.000000,551.0,230.0,468.0,2087.0,628.0,2020-07-22 08:23:51.000000,1.5.0,20.0,Confluent's Kafka Python Client.,2237.0,1935.0,66.0,30,https://pypi.org/project/confluent-kafka,2020-07-22 07:50:57.000000,302.0,946763.0,946763.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n108,pyodbc,mkleehammer/pyodbc,pyodbc,conda-forge/pyodbc,,db-clients,,https://github.com/mkleehammer/pyodbc,https://github.com/mkleehammer/pyodbc,MIT,2008-10-03 15:19:37.000000,2020-11-26 00:31:04.000000,2020-10-26 13:28:37.000000,407.0,215.0,510.0,1952.0,347.0,2020-02-08 18:09:57.000000,4.0.30,48.0,Python ODBC bridge.,3262.0,,36.0,30,https://pypi.org/project/pyodbc,2020-02-10 15:43:28.000000,3262.0,4094865.0,4104735.0,https://anaconda.org/conda-forge/pyodbc,2020-10-10 10:56:30.285000,394821.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n109,smart-open,RaRe-Technologies/smart_open,smart-open,,,data-loading,,https://github.com/RaRe-Technologies/smart_open,https://github.com/RaRe-Technologies/smart_open,MIT,2015-01-02 13:05:52.000000,2020-12-27 11:20:24.000000,2020-12-27 11:20:16.000000,261.0,69.0,224.0,1872.0,821.0,2020-11-27 06:14:57.000000,4.0.1,44.0,\"Utils for streaming large files (S3, HDFS, gzip, bz2...).\",640.0,,68.0,30,https://pypi.org/project/smart-open,2020-11-27 06:14:05.000000,640.0,6919561.0,6919561.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n110,mysqlclient,PyMySQL/mysqlclient,mysqlclient,conda-forge/mysqlclient,,db-clients,,https://github.com/PyMySQL/mysqlclient,https://github.com/PyMySQL/mysqlclient,GPL-2.0,2014-04-28 05:09:06.000000,2020-12-11 03:30:10.000000,2020-12-11 03:30:08.000000,305.0,6.0,244.0,1842.0,978.0,2020-12-10 04:03:30.000000,2.0.2,30.0,MySQL database connector for Python (with Python 3 support).,13536.0,,64.0,30,https://pypi.org/project/mysqlclient,2020-12-10 04:03:30.000000,13536.0,1774923.0,1777208.0,https://anaconda.org/conda-forge/mysqlclient,2020-10-13 12:28:49.922000,56786.0,False,2,5161.0,,,,,,,,,,,,,,,,,,,,,,,,,\n111,python-magic,ahupp/python-magic,python-magic,conda-forge/python-magic,,data-loading,,https://github.com/ahupp/python-magic,https://github.com/ahupp/python-magic,MIT,2010-03-31 22:40:33.000000,2020-12-24 22:42:00.639000,2020-12-11 19:57:07.000000,212.0,28.0,125.0,1792.0,244.0,2020-05-06 02:30:25.000000,0.4.18,18.0,A python wrapper for libmagic.,16190.0,11058.0,47.0,30,https://pypi.org/project/python-magic,2020-05-06 02:30:25.000000,5132.0,1447871.0,1449530.0,https://anaconda.org/conda-forge/python-magic,2020-12-24 22:42:00.639000,73009.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n112,pandas-datareader,pydata/pandas-datareader,pandas-datareader,conda-forge/pandas-datareader,,data-loading,['pandas'],https://github.com/pydata/pandas-datareader,https://github.com/pydata/pandas-datareader,BSD-3-Clause,2015-01-15 00:34:19.000000,2020-12-23 08:59:15.000000,2020-09-02 15:23:21.000000,489.0,69.0,368.0,1765.0,762.0,2020-07-10 10:04:14.000000,0.9.0,21.0,Extract data from a wide range of Internet sources into a pandas DataFrame.,8599.0,7193.0,76.0,30,https://pypi.org/project/pandas-datareader,2020-07-10 10:04:14.000000,1406.0,108683.0,110572.0,https://anaconda.org/conda-forge/pandas-datareader,2019-11-20 10:38:42.074000,83136.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n113,opencv-python,skvark/opencv-python,opencv-python,,,image,,https://github.com/skvark/opencv-python,https://github.com/skvark/opencv-python,MIT,2016-04-08 13:36:40.000000,2020-12-11 17:47:37.000000,2020-12-11 17:47:36.000000,299.0,19.0,357.0,1650.0,609.0,2020-11-03 19:09:10.000000,46,46.0,\"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..\",12560.0,,27.0,30,https://pypi.org/project/opencv-python,2020-11-02 16:36:07.000000,12560.0,2226065.0,2226065.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n114,Motor,mongodb/motor,motor,conda-forge/motor,,db-clients,,https://github.com/mongodb/motor,https://github.com/mongodb/motor,Apache-2.0,2013-01-11 21:34:44.000000,2020-12-08 14:16:53.000000,2020-09-24 23:47:34.000000,140.0,1.0,,1606.0,1609.0,2020-09-24 23:26:10.000000,2.3.0,34.0,Motor - the async Python driver for MongoDB and Tornado or asyncio.,5165.0,3375.0,28.0,30,https://pypi.org/project/motor,2020-09-24 23:19:56.000000,1790.0,126985.0,127406.0,https://anaconda.org/conda-forge/motor,2020-11-20 20:00:39.143000,10118.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n115,numexpr,pydata/numexpr,numexpr,conda-forge/numexpr,,data-containers,,https://github.com/pydata/numexpr,https://github.com/pydata/numexpr,MIT,2013-11-30 22:33:48.000000,2020-12-06 01:59:55.000000,2020-09-24 01:49:10.000000,161.0,53.0,242.0,1493.0,651.0,2020-01-05 17:55:57.000000,2.7.1,38.0,\"Fast numerical array expression evaluator for Python, NumPy, PyTables, pandas, bcolz and more.\",5482.0,,51.0,30,https://pypi.org/project/numexpr,2020-01-05 17:55:57.000000,5482.0,826538.0,864960.0,https://anaconda.org/conda-forge/numexpr,2020-10-14 10:30:54.500000,1997948.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n116,Rasterio,mapbox/rasterio,rasterio,conda-forge/rasterio,,geospatial-data,,https://github.com/mapbox/rasterio,https://github.com/mapbox/rasterio,BSD-3-Clause,2013-11-04 16:36:27.000000,2020-12-15 00:21:47.000000,2020-12-15 00:21:46.000000,387.0,135.0,1183.0,1390.0,3239.0,2020-10-21 01:56:29.000000,1.1.8,117.0,Rasterio reads and writes geospatial raster datasets.,3387.0,2537.0,109.0,30,https://pypi.org/project/rasterio,2020-12-13 18:35:39.000000,850.0,159196.0,173658.0,https://anaconda.org/conda-forge/rasterio,2020-10-30 14:13:05.008000,823803.0,True,2,702.0,,,,,,,,,,,,,,,,,,,,,,,,,\n117,SageMaker SDK,aws/sagemaker-python-sdk,sagemaker,,,ml-experiments,\"['mxnet', 'tensorflow']\",https://github.com/aws/sagemaker-python-sdk,https://github.com/aws/sagemaker-python-sdk,Apache-2.0,2017-11-14 01:03:33.000000,2020-12-24 23:00:25.000000,2020-12-24 23:00:24.000000,548.0,198.0,515.0,1280.0,1780.0,2020-12-23 21:47:22.000000,2.23.0,296.0,A library for training and deploying machine learning models on Amazon SageMaker.,565.0,537.0,162.0,30,https://pypi.org/project/sagemaker,2020-12-23 21:47:22.000000,28.0,424279.0,424279.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n118,TF Addons,tensorflow/addons,tensorflow-addons,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17.000000,2020-12-27 06:11:23.000000,2020-12-23 20:04:03.000000,390.0,157.0,604.0,1132.0,1306.0,2020-12-23 19:42:08.000000,0.12.0,24.0,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,1851.0,1833.0,144.0,30,https://pypi.org/project/tensorflow-addons,2020-12-23 19:42:08.000000,18.0,267054.0,267054.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n119,Wand,emcconville/wand,wand,,,image,,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000000,2020-12-08 02:05:17.000000,2020-12-08 02:05:10.000000,183.0,13.0,319.0,1040.0,1678.0,2020-11-29 20:47:13.000000,0.6.5,47.0,The ctypes-based simple ImageMagick binding for Python.,4124.0,2954.0,94.0,30,https://pypi.org/project/wand,2020-11-29 20:40:49.000000,1170.0,133953.0,134160.0,,,,True,2,5199.0,,,,,,,,,,,,,,True,,,,,,,,,,,\n120,Fiona,Toblerity/Fiona,fiona,conda-forge/fiona,,geospatial-data,,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00.000000,2020-12-02 19:46:20.000000,2020-11-30 07:11:40.000000,165.0,69.0,546.0,764.0,1093.0,2020-11-17 18:32:17.000000,1.8.18,96.0,Fiona reads and writes geographic data files.,5876.0,4688.0,65.0,30,https://pypi.org/project/fiona,2020-11-17 18:32:17.000000,1188.0,493133.0,521371.0,https://anaconda.org/conda-forge/fiona,2020-11-17 20:48:12.542000,1609602.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n121,Nilearn,nilearn/nilearn,nilearn,conda-forge/nilearn,,medical-data,['sklearn'],https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000000,2020-12-23 20:17:25.000000,2020-12-23 08:21:44.000000,371.0,378.0,1044.0,688.0,9276.0,2020-11-12 11:44:49.000000,0.7.0,35.0,Machine learning for NeuroImaging in Python.,1133.0,831.0,158.0,30,https://pypi.org/project/nilearn,2020-11-12 11:44:49.000000,302.0,12415.0,13765.0,https://anaconda.org/conda-forge/nilearn,2020-11-12 13:26:03.600000,74278.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n122,You-Get,soimort/you-get,you-get,,,web-scraping,,https://github.com/soimort/you-get,https://github.com/soimort/you-get,MIT,2012-08-20 15:53:36.000000,2020-12-27 07:45:48.000000,2020-12-26 18:21:43.000000,7865.0,349.0,,38297.0,2352.0,2020-12-26 18:24:57.000000,0.4.1500,159.0,Dumb downloader that scrapes the web.,18.0,,222.0,29,https://pypi.org/project/you-get,2020-12-26 18:22:17.000000,18.0,23700.0,27610.0,,,,True,2,328498.0,,you-get,,,,,,,,,,,,,,,,,,,,,,,\n123,Face Recognition,ageitgey/face_recognition,face_recognition,,,image,['pytorch'],https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39.000000,2020-12-19 11:44:26.000000,2020-09-26 15:32:59.000000,10476.0,551.0,526.0,37858.0,211.0,2018-08-21 18:34:21.000000,1.2.3,21.0,The world's simplest facial recognition api for Python and the command line.,406.0,,45.0,29,https://pypi.org/project/face_recognition,2018-08-21 18:34:21.000000,406.0,31904.0,31913.0,,,,True,2,434.0,,,,,,,,,,,,,,,,,,,,,,,,,\n124,Magenta,magenta/magenta,magenta,,,audio,['tensorflow'],https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40.000000,2020-12-03 14:10:02.000000,2020-12-01 17:12:29.000000,3283.0,286.0,533.0,16109.0,1370.0,2020-11-12 19:17:18.000000,2.1.3,66.0,Magenta: Music and Art Generation with Machine Intelligence.,287.0,252.0,142.0,29,https://pypi.org/project/magenta,2020-11-12 19:17:18.000000,35.0,4923.0,4923.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n125,Faiss,facebookresearch/faiss,pymilvus,conda-forge/faiss,,nn-search,,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000000,2020-12-26 07:32:20.000000,2020-12-25 13:57:25.000000,2052.0,98.0,1210.0,11970.0,414.0,2020-12-21 05:24:03.000000,1.6.5,42.0,A library for efficient similarity search and clustering of dense vectors.,296.0,290.0,71.0,29,https://pypi.org/project/pymilvus,2020-10-16 13:11:09.000000,6.0,5521.0,8237.0,https://anaconda.org/conda-forge/faiss,2020-12-12 16:36:49.740000,19015.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n126,Requests-HTML,psf/requests-html,requests-html,,,web-scraping,,https://github.com/psf/requests-html,https://github.com/psf/requests-html,MIT,2018-02-24 20:11:02.000000,2020-12-05 04:48:45.000000,2020-05-10 19:40:04.000000,766.0,131.0,188.0,11358.0,449.0,2019-02-18 21:38:41.000000,0.10.0,36.0,Pythonic HTML Parsing for Humans.,3822.0,3458.0,62.0,29,https://pypi.org/project/requests-html,2019-02-17 20:14:17.000000,364.0,283868.0,283868.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n127,newspaper3k,codelucas/newspaper,newspaper3k,conda-forge/newspaper3k,,web-scraping,,https://github.com/codelucas/newspaper,https://github.com/codelucas/newspaper,MIT,2013-11-25 09:50:50.000000,2020-12-24 21:15:01.000000,2020-09-02 06:54:25.000000,1681.0,413.0,242.0,10527.0,651.0,2018-09-28 04:58:18.000000,0.2.8,18.0,\"News, full-text, and article metadata extraction in Python 3. Advanced docs:.\",2580.0,2136.0,103.0,29,https://pypi.org/project/newspaper3k,2018-09-28 04:58:18.000000,444.0,26629.0,27573.0,https://anaconda.org/conda-forge/newspaper3k,2020-10-14 01:55:00.844000,34937.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n128,Turi Create,apple/turicreate,turicreate,,,ml-frameworks,,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04.000000,2020-11-18 17:14:31.000000,2020-10-13 23:52:18.000000,1057.0,465.0,1240.0,10059.0,1565.0,2020-09-30 22:51:40.000000,6.4.1,31.0,Turi Create simplifies the development of custom machine learning models.,252.0,218.0,81.0,29,https://pypi.org/project/turicreate,2020-09-30 22:51:40.000000,34.0,13073.0,13168.0,,,,True,3,3437.0,,,,,,,,,,,,,,,,,,,,,,,,,\n129,AllenNLP,allenai/allennlp,allennlp,,,nlp,['pytorch'],https://github.com/allenai/allennlp,https://github.com/allenai/allennlp,Apache-2.0,2017-05-15 15:52:41.000000,2020-12-24 00:38:31.000000,2020-12-23 18:51:13.000000,1979.0,106.0,2115.0,9518.0,,2020-12-15 22:10:16.000000,1.3.0,154.0,\"An open-source NLP research library, built on PyTorch.\",1574.0,1340.0,231.0,29,https://pypi.org/project/allennlp,2020-11-17 18:37:28.000000,234.0,22755.0,22755.0,,,,True,2,36.0,,,,,,,,,,,,,,,-3.0,,,,,,,,,,\n130,Lime,marcotcr/lime,lime,conda-forge/lime,,interpretability,,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10.000000,2020-12-18 17:16:38.000000,2020-12-18 17:16:31.000000,1338.0,46.0,434.0,8263.0,504.0,2020-04-03 22:05:03.000000,0.2.0.0,37.0,Lime: Explaining the predictions of any machine learning classifier.,1085.0,957.0,56.0,29,https://pypi.org/project/lime,2020-04-03 22:04:32.000000,128.0,172866.0,174137.0,https://anaconda.org/conda-forge/lime,2020-06-28 01:02:41.538000,61049.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n131,Annoy,spotify/annoy,annoy,,,nn-search,,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40.000000,2020-12-25 08:13:07.000000,2020-12-03 18:21:18.000000,854.0,25.0,265.0,7957.0,785.0,2020-09-18 16:07:59.000000,1.17.0,43.0,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,1736.0,1376.0,68.0,29,https://pypi.org/project/annoy,2020-09-18 16:07:59.000000,360.0,210274.0,210274.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n132,Pattern,clips/pattern,pattern,conda-forge/pattern,,web-scraping,,https://github.com/clips/pattern,https://github.com/clips/pattern,BSD-3-Clause,2011-05-03 15:29:01.000000,2020-12-03 13:45:30.000000,2020-04-25 12:40:40.000000,1499.0,159.0,75.0,7731.0,1434.0,,,2.0,\"Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis..\",1285.0,1019.0,30.0,29,https://pypi.org/project/pattern,2018-08-18 15:11:17.000000,266.0,64595.0,64985.0,https://anaconda.org/conda-forge/pattern,2020-05-05 12:38:53.775000,5460.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n133,fuzzywuzzy,seatgeek/fuzzywuzzy,fuzzywuzzy,conda-forge/fuzzywuzzy,,nlp,,https://github.com/seatgeek/fuzzywuzzy,https://github.com/seatgeek/fuzzywuzzy,GPL-2.0,2011-07-08 19:32:34.000000,2020-12-19 18:34:54.000000,2020-02-13 22:13:43.000000,792.0,84.0,95.0,7699.0,379.0,2020-02-13 22:14:12.000000,0.18.0,27.0,Fuzzy String Matching in Python.,10666.0,7460.0,67.0,29,https://pypi.org/project/fuzzywuzzy,2020-02-13 21:06:25.000000,3206.0,2299900.0,2305055.0,https://anaconda.org/conda-forge/fuzzywuzzy,2020-11-18 12:59:01.409000,273238.0,False,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n134,TextBlob,sloria/TextBlob,textblob,conda-forge/textblob,,nlp,,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18.000000,2020-12-25 13:19:46.000000,2020-12-25 13:18:24.000000,947.0,69.0,150.0,7461.0,535.0,2019-02-24 23:03:17.000000,0.15.3,55.0,\"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..\",12014.0,9522.0,33.0,29,https://pypi.org/project/textblob,2019-02-24 23:03:17.000000,2492.0,269070.0,271139.0,https://anaconda.org/conda-forge/textblob,2019-02-24 23:32:55.233000,107582.0,True,2,88.0,,,,,,,,,,,,,,,,,,,,,,,,,\n135,MoviePy,Zulko/moviepy,moviepy,conda-forge/moviepy,,image,,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000000,2020-12-22 11:53:27.000000,2020-11-25 17:36:42.000000,1021.0,337.0,629.0,7164.0,938.0,2020-05-07 16:29:35.000000,1.0.3,84.0,Video editing with Python.,6601.0,5471.0,132.0,29,https://pypi.org/project/moviepy,2020-10-05 00:26:29.000000,1130.0,138008.0,139730.0,https://anaconda.org/conda-forge/moviepy,2020-02-23 19:57:49.975000,70620.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n136,glfw,glfw/glfw,glfw,conda-forge/glfw,,image,,https://github.com/glfw/glfw,https://github.com/glfw/glfw,Zlib,2013-04-18 15:24:53.000000,2020-12-14 22:06:32.000000,2020-12-14 11:27:57.000000,2544.0,414.0,985.0,7055.0,4200.0,2020-10-04 13:37:52.000000,2.0.0,37.0,\"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.\",214.0,,164.0,29,https://pypi.org/project/glfw,2020-10-04 13:37:52.000000,214.0,15529.0,47574.0,https://anaconda.org/conda-forge/glfw,2020-03-20 11:09:31.058000,20860.0,False,2,2145712.0,,,,,,,,,,,,,,True,,,,,,,,,,,\n137,Albumentations,albumentations-team/albumentations,albumentations,conda-forge/albumentations,,image,['pytorch'],https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000000,2020-12-26 06:23:48.000000,2020-12-26 06:23:46.000000,879.0,148.0,229.0,6907.0,613.0,2020-11-29 14:30:07.000000,0.5.2,44.0,Fast image augmentation library and easy to use wrapper around other libraries. Documentation:..,2423.0,2359.0,71.0,29,https://pypi.org/project/albumentations,2020-11-29 14:30:07.000000,64.0,61049.0,61796.0,https://anaconda.org/conda-forge/albumentations,2020-11-29 15:51:47.610000,13449.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n138,tensorboardX,lanpa/tensorboardX,tensorboardX,conda-forge/tensorboardx,,ml-experiments,,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19.000000,2020-10-14 17:46:25.000000,2020-07-05 17:29:00.000000,769.0,72.0,341.0,6720.0,460.0,2020-07-05 17:54:10.000000,2.0,12.0,\"tensorboard for pytorch (and chainer, mxnet, numpy, ...).\",10794.0,9460.0,64.0,29,https://pypi.org/project/tensorboardX,2019-12-31 14:04:21.000000,1334.0,283496.0,290601.0,https://anaconda.org/conda-forge/tensorboardx,2020-07-06 20:33:55.729000,248431.0,True,2,287.0,,,,,,,,,,,,,,,,,,,,,,,,,\n139,pandas-profiling,pandas-profiling/pandas-profiling,pandas-profiling,conda-forge/pandas-profiling,,data-viz,\"['jupyter', 'pandas']\",https://github.com/pandas-profiling/pandas-profiling,https://github.com/pandas-profiling/pandas-profiling,MIT,2016-01-09 23:47:55.000000,2020-12-26 01:06:13.000000,2020-11-30 21:55:53.000000,966.0,48.0,352.0,6496.0,726.0,2020-09-03 10:11:24.000000,2.9.0,24.0,Create HTML profiling reports from pandas DataFrame objects.,2891.0,2731.0,61.0,29,https://pypi.org/project/pandas-profiling,2020-09-03 10:11:24.000000,160.0,242086.0,243887.0,https://anaconda.org/conda-forge/pandas-profiling,2020-09-03 13:03:52.072000,93660.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n140,Datasets,huggingface/datasets,datasets,,,web-scraping,,https://github.com/huggingface/datasets,https://github.com/huggingface/datasets,Apache-2.0,2020-03-26 09:23:22.000000,2020-12-26 19:25:42.000000,2020-12-23 17:25:58.000000,608.0,262.0,291.0,5926.0,1161.0,2020-11-19 18:33:56.000000,1.1.3,11.0,\"The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools.\",238.0,220.0,191.0,29,https://pypi.org/project/datasets,2020-11-19 18:07:51.000000,18.0,23084.0,23084.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n141,Pydub,jiaaro/pydub,pydub,conda-forge/pydub,,audio,,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38.000000,2020-12-14 17:09:25.000000,2020-12-14 17:09:24.000000,670.0,164.0,232.0,4999.0,722.0,2020-06-03 15:23:56.000000,0.24.1,66.0,Manipulate audio with a simple and easy high level interface.,6750.0,5396.0,79.0,29,https://pypi.org/project/pydub,2020-06-03 15:23:56.000000,1354.0,130915.0,131408.0,https://anaconda.org/conda-forge/pydub,2019-02-02 16:23:09.348000,11833.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n142,UMAP,lmcinnes/umap,umap-learn,,,data-viz,,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17.000000,2020-12-23 03:48:10.000000,2020-12-16 18:17:21.000000,466.0,201.0,207.0,4350.0,1270.0,2020-07-02 15:56:06.000000,0.4.6,33.0,Uniform Manifold Approximation and Projection.,226.0,,67.0,29,https://pypi.org/project/umap-learn,2020-11-26 16:29:14.000000,226.0,121037.0,121037.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n143,TinyDB,msiemens/tinydb,tinydb,conda-forge/tinydb,,data-containers,,https://github.com/msiemens/tinydb,https://github.com/msiemens/tinydb,MIT,2013-07-12 23:31:13.000000,2020-12-05 15:21:25.000000,2020-12-05 15:21:21.000000,353.0,14.0,229.0,3909.0,593.0,2020-11-14 21:02:31.000000,4.3.0,58.0,TinyDB is a lightweight document oriented database optimized for your happiness :).,1118.0,,61.0,29,https://pypi.org/project/tinydb,2020-11-14 21:02:29.000000,1118.0,133426.0,135210.0,https://anaconda.org/conda-forge/tinydb,2020-11-14 22:52:17.151000,96381.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n144,kaggle,Kaggle/kaggle-api,kaggle,conda-forge/kaggle,,ml-experiments,,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000000,2020-12-03 05:16:08.000000,2020-11-30 21:43:14.000000,759.0,161.0,106.0,3733.0,137.0,2020-11-30 13:37:18.000000,1.5.10,47.0,Official Kaggle API.,4682.0,4118.0,35.0,29,https://pypi.org/project/kaggle,2020-11-30 13:37:18.000000,564.0,236829.0,238873.0,https://anaconda.org/conda-forge/kaggle,2020-11-30 16:56:31.822000,38845.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n145,yfinance,ranaroussi/yfinance,yfinance,ranaroussi/yfinance,,financial-data,,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000000,2020-12-18 13:14:52.000000,2020-09-25 12:47:40.000000,945.0,289.0,167.0,3717.0,243.0,2020-10-05 12:19:44.000000,0.1.55,20.0,Yahoo! Finance market data downloader (+faster Pandas Datareader).,2409.0,2383.0,25.0,29,https://pypi.org/project/yfinance,2020-10-05 12:19:44.000000,26.0,106373.0,108127.0,https://anaconda.org/ranaroussi/yfinance,2019-12-27 21:30:44.606000,28076.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n146,Tesseract,madmaze/pytesseract,pytesseract,conda-forge/pytesseract,,ocr,,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000000,2020-12-22 12:18:21.000000,2020-12-22 12:18:21.000000,503.0,7.0,237.0,3330.0,353.0,2020-12-15 05:24:52.000000,0.3.7,24.0,Python-tesseract is an optical character recognition (OCR) tool for python.,1428.0,,35.0,29,https://pypi.org/project/pytesseract,2020-12-15 05:24:52.000000,1428.0,319904.0,322071.0,https://anaconda.org/conda-forge/pytesseract,2020-11-20 10:05:14.874000,36839.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n147,sacred,IDSIA/sacred,sacred,,,ml-experiments,,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29.000000,2020-12-17 22:23:01.000000,2020-12-15 10:47:54.000000,314.0,92.0,391.0,3236.0,1297.0,2020-12-14 15:21:05.000000,0.8.2,27.0,\"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.\",907.0,753.0,90.0,29,https://pypi.org/project/sacred,2020-12-14 15:21:05.000000,154.0,14102.0,14102.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n148,Koalas,databricks/koalas,koalas,conda-forge/koalas,,data-containers,\"['spark', 'pandas']\",https://github.com/databricks/koalas,https://github.com/databricks/koalas,Apache-2.0,2019-01-03 21:46:54.000000,2020-12-26 07:33:39.000000,2020-12-26 07:33:38.000000,292.0,84.0,420.0,2543.0,1420.0,2020-12-11 21:10:40.000000,1.5.0,42.0,Koalas: pandas API on Apache Spark.,68.0,67.0,47.0,29,https://pypi.org/project/koalas,2020-12-11 21:10:40.000000,1.0,883372.0,887286.0,https://anaconda.org/conda-forge/koalas,2020-12-11 23:19:38.184000,73476.0,True,2,996.0,,,,,,,,,,,,,,,,,,,,,,,,,\n149,PyQtGraph,pyqtgraph/pyqtgraph,pyqtgraph,conda-forge/pyqtgraph,,data-viz,,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21.000000,2020-12-26 03:39:56.000000,2020-12-25 05:45:02.000000,793.0,284.0,429.0,2247.0,2306.0,2020-12-20 02:41:29.000000,pyqtgraph-0.11.1,12.0,Fast data visualization and GUI tools for scientific / engineering applications.,890.0,,177.0,29,https://pypi.org/project/pyqtgraph,2020-12-20 02:43:22.000000,890.0,33958.0,37273.0,https://anaconda.org/conda-forge/pyqtgraph,2020-12-20 05:06:42.442000,155836.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n150,Keras Tuner,keras-team/keras-tuner,keras-tuner,,,hyperopt,['keras'],https://github.com/keras-team/keras-tuner,https://github.com/keras-team/keras-tuner,Apache-2.0,2019-06-06 22:38:21.000000,2020-12-23 19:28:06.000000,2020-12-09 20:19:05.000000,253.0,145.0,132.0,2185.0,787.0,2020-11-20 19:13:23.000000,1.0.2,5.0,Hyperparameter tuning for humans.,332.0,330.0,28.0,29,https://pypi.org/project/keras-tuner,2020-11-20 19:00:59.000000,2.0,830729.0,830729.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n151,ipyparallel,ipython/ipyparallel,ipyparallel,conda-forge/ipyparallel,,distributed-ml,['jupyter'],https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,BSD-3-Clause,2015-04-09 07:43:55.000000,2020-12-14 23:13:00.768000,2020-08-24 09:09:27.000000,723.0,139.0,107.0,1840.0,1817.0,2020-05-05 18:42:38.000000,6.3.0,21.0,Interactive Parallel Computing in Python.,1830.0,1340.0,94.0,29,https://pypi.org/project/ipyparallel,2020-05-05 18:42:38.000000,490.0,61042.0,67436.0,https://anaconda.org/conda-forge/ipyparallel,2020-12-14 23:13:00.768000,358098.0,True,2,,,,,,,,,,,,,,,,2.0,,,,,,,,,,\n152,HoloViews,holoviz/holoviews,holoviews,conda-forge/holoviews,,data-viz,['jupyter'],https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000000,2020-12-22 20:30:54.000000,2020-12-22 20:30:52.000000,291.0,664.0,1814.0,1766.0,10108.0,2020-12-03 18:36:32.000000,1.14.0,58.0,\"With Holoviews, your data visualizes itself.\",170.0,,99.0,29,https://pypi.org/project/holoviews,2020-12-03 14:22:27.000000,170.0,110155.0,124070.0,https://anaconda.org/conda-forge/holoviews,2020-12-03 17:45:44.993000,390460.0,True,2,,,,,,,,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,2020-05-24 13:49:54.205000,,6816.0,,,,,,,,,,,,,\n153,Lifelines,CamDavidsonPilon/lifelines,lifelines,conda-forge/lifelines,,medical-data,,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42.000000,2020-12-11 17:32:01.000000,2020-12-09 21:13:02.000000,403.0,183.0,584.0,1516.0,2069.0,2020-12-09 21:14:01.000000,0.25.7,152.0,Survival analysis in Python.,592.0,466.0,88.0,29,https://pypi.org/project/lifelines,2020-12-09 21:14:01.000000,126.0,106980.0,109194.0,https://anaconda.org/conda-forge/lifelines,2020-12-10 02:47:14.864000,119591.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n154,Geocoder,DenisCarriere/geocoder,geocoder,conda-forge/geocoder,,geospatial-data,,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21.000000,2020-12-14 18:58:25.000000,2018-10-12 15:53:05.000000,249.0,64.0,215.0,1315.0,1251.0,2018-04-04 12:34:51.000000,1.38.1,108.0,Python Geocoder.,3463.0,2887.0,74.0,29,https://pypi.org/project/geocoder,2018-04-04 12:34:51.000000,576.0,225216.0,227083.0,https://anaconda.org/conda-forge/geocoder,2019-06-27 16:40:50.469000,85926.0,False,2,,,,,,,,,,,,,,,,,,,geocoder,,,,,,,\n155,torchaudio,pytorch/audio,torchaudio,,,audio,['pytorch'],https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000000,2020-12-27 14:16:03.000000,2020-12-23 22:07:20.000000,261.0,152.0,230.0,1175.0,628.0,2020-12-10 17:02:20.000000,0.7.2,11.0,\"Data manipulation and transformation for audio signal processing, powered by PyTorch.\",977.0,968.0,84.0,29,https://pypi.org/project/torchaudio,2020-10-27 16:14:57.000000,9.0,63116.0,63116.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n156,PyTables,PyTables/PyTables,tables,conda-forge/pytables,,data-containers,,https://github.com/PyTables/PyTables,https://github.com/PyTables/PyTables,BSD-2-Clause,2011-06-03 19:44:46.000000,2020-12-23 13:06:35.000000,2020-12-22 06:58:22.000000,180.0,154.0,438.0,997.0,3856.0,2019-10-30 19:33:37.000000,3.6.1,25.0,A Python package to manage extremely large amounts of data.,3754.0,,96.0,29,https://pypi.org/project/tables,2019-10-30 19:33:37.000000,3754.0,541868.0,581893.0,https://anaconda.org/conda-forge/pytables,2020-10-21 22:20:27.234000,2081222.0,True,2,125.0,,,,,,,,,,,,,,,,,,,,,,,,,\n157,py2neo,technige/py2neo,py2neo,conda-forge/py2neo,,db-clients,,https://github.com/technige/py2neo,https://github.com/technige/py2neo,Apache-2.0,2011-07-03 10:01:07.000000,2020-12-23 10:35:38.000000,2020-12-21 21:32:51.000000,196.0,25.0,689.0,954.0,2735.0,2020-11-21 09:50:58.000000,2020.1.1,102.0,Py2neo is a comprehensive toolkit for working with Neo4j from within Python applications or from the command line.,1114.0,,31.0,29,https://pypi.org/project/py2neo,2020-11-21 09:51:22.000000,1114.0,75074.0,75824.0,https://anaconda.org/conda-forge/py2neo,2019-03-17 09:26:49.366000,31512.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n158,Graphviz,xflr6/graphviz,graphviz,,,data-viz,,https://github.com/xflr6/graphviz,https://github.com/xflr6/graphviz,MIT,2014-01-12 17:49:29.000000,2020-12-25 12:50:52.000000,2020-12-25 12:50:44.000000,137.0,5.0,94.0,885.0,443.0,2020-10-07 09:06:41.000000,0.14.2,47.0,Simple Python interface for Graphviz.,20687.0,16305.0,15.0,29,https://pypi.org/project/graphviz,2020-12-24 16:17:24.000000,4382.0,2331540.0,2331540.0,,,,True,2,,,,,,,,,,,,,,,True,,,,,,,,,,,\n159,TensorFlow Transform,tensorflow/transform,tensorflow-transform,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53.000000,2020-12-16 21:35:23.000000,2020-12-16 21:11:41.000000,161.0,32.0,113.0,843.0,557.0,2020-12-16 21:35:23.000000,0.26.0,33.0,Input pipeline framework.,462.0,378.0,27.0,29,https://pypi.org/project/tensorflow-transform,2020-12-16 21:35:23.000000,84.0,5945741.0,5945741.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n160,snakemake,snakemake/snakemake,snakemake,bioconda/snakemake,,ml-experiments,,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867000,2020-12-22 23:30:36.000000,2020-12-21 21:28:10.000000,178.0,305.0,201.0,783.0,3938.0,2020-12-21 22:01:57.000000,5.31.1,158.0,\"This is the development home of the workflow management system Snakemake. For general information, see.\",1000.0,712.0,193.0,29,https://pypi.org/project/snakemake,2020-12-21 22:02:41.000000,288.0,10078.0,14335.0,https://anaconda.org/bioconda/snakemake,2020-12-22 11:10:44.475000,263952.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n161,NIPYPE,nipy/nipype,nipype,conda-forge/nipype,,medical-data,,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000000,2020-12-20 20:52:16.000000,2020-12-08 17:16:40.000000,439.0,312.0,871.0,538.0,14049.0,2020-09-17 18:44:32.000000,1.5.1,54.0,Workflows and interfaces for neuroimaging packages.,662.0,470.0,212.0,29,https://pypi.org/project/nipype,2020-08-16 18:30:16.000000,192.0,13149.0,19641.0,https://anaconda.org/conda-forge/nipype,2020-11-28 17:44:51.813000,344120.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n162,NiBabel,nipy/nibabel,nibabel,conda-forge/nibabel,,medical-data,,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30.000000,2020-12-21 21:15:21.000000,2020-12-16 00:08:18.000000,209.0,109.0,280.0,378.0,4933.0,2020-11-28 22:19:50.000000,3.2.1,32.0,Python package to access a cacophony of neuro-imaging file formats.,4639.0,3375.0,89.0,29,https://pypi.org/project/nibabel,2020-11-28 22:18:23.000000,1264.0,49602.0,54795.0,https://anaconda.org/conda-forge/nibabel,2020-11-29 03:40:05.178000,285617.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n163,pandas-gbq,pydata/pandas-gbq,pandas-gbq,conda-forge/pandas-gbq,,db-clients,['pandas'],https://github.com/pydata/pandas-gbq,https://github.com/pydata/pandas-gbq,BSD-3-Clause,2017-02-08 13:07:19.000000,2020-12-22 15:29:13.000000,2020-12-17 21:26:00.000000,83.0,32.0,154.0,231.0,217.0,2020-11-10 17:16:31.000000,0.14.1,26.0,Pandas Google BigQuery.,2113.0,1681.0,29.0,29,https://pypi.org/project/pandas-gbq,2020-11-10 17:13:26.000000,432.0,6165160.0,6178887.0,https://anaconda.org/conda-forge/pandas-gbq,2020-11-11 15:55:18.257000,617517.0,True,3,188.0,,,,,,,,,,,,,,,,,,,,,,,,,\n164,soupsieve,facelessuser/soupsieve,soupsieve,conda-forge/soupsieve,,web-scraping,,https://github.com/facelessuser/soupsieve,https://github.com/facelessuser/soupsieve,MIT,2018-12-07 07:42:56.000000,2020-12-14 18:10:01.000000,2020-12-14 18:08:31.000000,18.0,12.0,77.0,84.0,268.0,2020-12-10 23:42:29.000000,2.1.0,36.0,A modern CSS selector implementation for BeautifulSoup.,95435.0,91191.0,8.0,29,https://pypi.org/project/soupsieve,2020-12-10 23:43:13.000000,4244.0,8371500.0,8458328.0,https://anaconda.org/conda-forge/soupsieve,2020-08-17 16:10:44.009000,1997055.0,False,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n165,spleeter,deezer/spleeter,spleeter,conda-forge/spleeter,,audio,['tensorflow'],https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000000,2020-12-18 16:31:25.000000,2020-12-07 12:44:51.000000,1527.0,86.0,390.0,15109.0,358.0,2020-10-23 12:15:02.000000,2.0.1,26.0,Deezer source separation library including pretrained models.,120.0,120.0,17.0,28,https://pypi.org/project/spleeter,2020-10-23 12:15:02.000000,,5263.0,70621.0,https://anaconda.org/conda-forge/spleeter,2020-06-30 14:33:43.220000,40066.0,True,2,871870.0,,,,,,,,,,,,,,,,,,,,,,,,,\n166,pyspider,binux/pyspider,pyspider,,,web-scraping,,https://github.com/binux/pyspider,https://github.com/binux/pyspider,Apache-2.0,2014-02-21 19:18:47.000000,2020-10-22 04:00:13.000000,2020-08-02 17:34:20.000000,3558.0,276.0,543.0,14783.0,1181.0,2018-04-18 04:25:22.000000,0.3.10,17.0,A Powerful Spider(Web Crawler) System in Python.,313.0,283.0,62.0,28,https://pypi.org/project/pyspider,2018-04-18 04:17:18.000000,30.0,1753.0,1753.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n167,PyTorch Geometric,rusty1s/pytorch_geometric,torch-geometric,,,graph,['pytorch'],https://github.com/rusty1s/pytorch_geometric,https://github.com/rusty1s/pytorch_geometric,MIT,2017-10-06 16:03:03.000000,2020-12-25 10:16:21.000000,2020-12-25 10:16:17.000000,1645.0,631.0,1050.0,9787.0,4040.0,2020-12-02 14:57:09.000000,1.6.3,25.0,Geometric Deep Learning Extension Library for PyTorch.,24.0,,136.0,28,https://pypi.org/project/torch-geometric,2020-11-27 07:18:41.000000,24.0,12106.0,12106.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n168,Sonnet,deepmind/sonnet,dm-sonnet,conda-forge/sonnet,,ml-frameworks,['tensorflow'],https://github.com/deepmind/sonnet,https://github.com/deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35.000000,2020-11-30 02:35:15.000000,2020-10-08 10:01:11.000000,1242.0,15.0,135.0,8677.0,545.0,2020-03-27 10:36:19.000000,2.0.0,27.0,TensorFlow-based neural network library.,547.0,465.0,48.0,28,https://pypi.org/project/dm-sonnet,2020-03-27 10:36:10.000000,82.0,37498.0,38017.0,https://anaconda.org/conda-forge/sonnet,2020-11-14 18:13:23.843000,6749.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n169,TPOT,EpistasisLab/tpot,tpot,conda-forge/tpot,,hyperopt,['sklearn'],https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40.000000,2020-12-23 00:52:11.000000,2020-12-14 15:04:13.000000,1347.0,185.0,574.0,7710.0,2341.0,2020-12-14 15:07:26.000000,0.11.6.post3,59.0,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,840.0,760.0,107.0,28,https://pypi.org/project/tpot,2020-12-14 15:07:56.000000,80.0,72085.0,74038.0,https://anaconda.org/conda-forge/tpot,2020-12-14 22:49:13.925000,99623.0,False,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n170,Pyro,pyro-ppl/pyro,pyro-ppl,,,probabilistics,['pytorch'],https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000000,2020-12-26 22:03:36.000000,2020-12-21 05:45:44.000000,777.0,130.0,677.0,6649.0,2138.0,2020-11-17 23:30:42.000000,1.5.1,24.0,Deep universal probabilistic programming with Python and PyTorch.,383.0,347.0,102.0,28,https://pypi.org/project/pyro-ppl,2020-11-17 23:22:46.000000,36.0,10215.0,10215.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n171,Records,kennethreitz42/records,records,conda-forge/records,,db-clients,,https://github.com/kennethreitz42/records,https://github.com/kennethreitz42/records,ISC,2014-12-24 15:20:23.000000,2020-12-22 07:29:21.000000,2020-12-22 07:29:21.000000,531.0,55.0,81.0,6464.0,325.0,2019-02-21 13:34:41.000000,0.5.3,10.0,SQL for Humans.,1003.0,703.0,37.0,28,https://pypi.org/project/records,2019-02-21 13:34:41.000000,300.0,182406.0,182779.0,https://anaconda.org/conda-forge/records,2018-01-15 04:48:02.550000,16432.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n172,tensorpack,tensorpack/tensorpack,tensorpack,,,ml-frameworks,['tensorflow'],https://github.com/tensorpack/tensorpack,https://github.com/tensorpack/tensorpack,Apache-2.0,2015-12-25 23:08:44.000000,2020-12-24 00:24:32.000000,2020-11-01 03:52:10.000000,1720.0,11.0,1293.0,5863.0,2921.0,2020-04-24 19:01:06.000000,0.10.1,36.0,\"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.\",719.0,643.0,55.0,28,https://pypi.org/project/tensorpack,2020-04-24 19:01:06.000000,76.0,49898.0,49900.0,,,,True,3,95.0,,,,,,,,,,,,,,,,,,,,,,,,,\n173,Modin,modin-project/modin,modin,,,data-containers,['pandas'],https://github.com/modin-project/modin,https://github.com/modin-project/modin,Apache-2.0,2018-06-21 21:35:05.000000,2020-12-24 17:54:46.000000,2020-12-23 18:29:32.000000,375.0,391.0,1045.0,5551.0,1215.0,2020-12-23 09:46:05.000000,0.8.3,35.0,Modin: Speed up your Pandas workflows by changing a single line of code.,282.0,273.0,64.0,28,https://pypi.org/project/modin,2020-11-10 02:44:02.000000,9.0,49560.0,56286.0,,,,True,2,195075.0,,,,,,,,,,,,,,,,,,,,,,,,,\n174,featuretools,alteryx/featuretools,featuretools,conda-forge/featuretools,,hyperopt,,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17.000000,2020-12-26 17:38:06.000000,2020-12-21 14:01:31.000000,680.0,104.0,386.0,5291.0,569.0,2020-11-30 20:46:32.000000,0.22.0,61.0,An open source python library for automated feature engineering.,699.0,629.0,49.0,28,https://pypi.org/project/featuretools,2020-11-30 20:46:32.000000,70.0,66286.0,68047.0,https://anaconda.org/conda-forge/featuretools,2020-11-30 22:07:05.978000,42280.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n175,faust,robinhood/faust,faust,,,data-pipelines,,https://github.com/robinhood/faust,https://github.com/robinhood/faust,BSD-3-Clause,2017-03-08 18:36:11.000000,2020-11-17 10:35:41.000000,2020-10-09 12:59:42.000000,424.0,225.0,219.0,5143.0,4137.0,2020-02-25 22:57:18.000000,1.10.4,46.0,Python Stream Processing.,589.0,561.0,90.0,28,https://pypi.org/project/faust,2020-02-25 22:57:18.000000,28.0,74701.0,74701.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n176,Autograd,HIPS/autograd,autograd,conda-forge/autograd,,others,,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23.000000,2020-04-23 16:45:00.000000,2019-11-18 14:32:40.000000,712.0,161.0,216.0,5069.0,1375.0,2017-08-24 17:00:41.000000,1.1.13,24.0,Efficiently computes derivatives of numpy code.,1685.0,1341.0,51.0,28,https://pypi.org/project/autograd,2019-07-25 16:21:07.000000,344.0,337854.0,340718.0,https://anaconda.org/conda-forge/autograd,2019-07-25 18:29:55.493000,148966.0,False,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n177,scikit-surprise,NicolasHug/Surprise,scikit-surprise,conda-forge/scikit-surprise,,recommender-systems,,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38.000000,2020-10-13 01:22:58.850000,2020-08-05 17:45:59.000000,807.0,35.0,285.0,4582.0,622.0,2020-07-19 14:50:48.000000,1.1.1,9.0,A Python scikit for building and analyzing recommender systems.,861.0,837.0,38.0,28,https://pypi.org/project/scikit-surprise,2020-07-19 14:50:48.000000,24.0,41136.0,45418.0,https://anaconda.org/conda-forge/scikit-surprise,2020-10-13 01:22:58.850000,149904.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n178,csvkit,wireservice/csvkit,csvkit,conda-forge/csvkit,,data-loading,,https://github.com/wireservice/csvkit,https://github.com/wireservice/csvkit,MIT,2011-04-01 03:00:30.000000,2020-10-30 01:59:33.000000,2020-10-30 01:59:29.000000,535.0,56.0,743.0,4436.0,1693.0,2020-03-03 03:00:28.000000,1.0.5,33.0,\"A suite of utilities for converting to and working with CSV, the king of tabular file formats.\",1495.0,793.0,91.0,28,https://pypi.org/project/csvkit,2020-03-03 03:00:28.000000,702.0,26724.0,27716.0,https://anaconda.org/conda-forge/csvkit,2019-05-28 12:30:50.171000,44648.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n179,snorkel,snorkel-team/snorkel,snorkel,conda-forge/snorkel,,data-loading,,https://github.com/snorkel-team/snorkel,https://github.com/snorkel-team/snorkel,Apache-2.0,2016-02-26 05:52:45.000000,2020-10-02 14:30:46.000000,2020-09-05 21:24:32.000000,704.0,29.0,910.0,4364.0,2646.0,2020-08-09 03:07:36.000000,0.9.6,17.0,A system for quickly generating training data with weak supervision.,65.0,61.0,62.0,28,https://pypi.org/project/snorkel,2020-04-07 01:35:21.000000,4.0,74084.0,74968.0,https://anaconda.org/conda-forge/snorkel,2020-04-10 13:08:54.445000,14867.0,True,3,479.0,,,,,,,,,,,,,,,,,,,,,,,,,\n180,librosa,librosa/librosa,librosa,conda-forge/librosa,,audio,,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000000,2020-10-19 21:24:48.000000,2020-09-11 13:58:44.000000,666.0,53.0,778.0,4167.0,,2020-07-22 01:34:55.000000,0.8.0,28.0,Python library for audio and music analysis.,10337.0,8587.0,80.0,28,https://pypi.org/project/librosa,2020-07-22 01:34:55.000000,1750.0,271469.0,275946.0,https://anaconda.org/conda-forge/librosa,2020-07-22 10:27:18.402000,237332.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n181,Tokenizers,huggingface/tokenizers,tokenizers,conda-forge/tokenizers,,nlp,,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000000,2020-12-25 16:23:04.000000,2020-12-15 16:50:40.000000,299.0,80.0,259.0,4108.0,1414.0,2020-11-10 04:37:50.000000,0.9.4,57.0,Fast State-of-the-Art Tokenizers optimized for Research and Production.,20.0,20.0,39.0,28,https://pypi.org/project/tokenizers,2020-12-08 18:59:15.000000,0.0,881333.0,884364.0,https://anaconda.org/conda-forge/tokenizers,2020-11-19 06:02:47.112000,15159.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n182,DEAP,deap/deap,deap,conda-forge/deap,,distributed-ml,,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39.000000,2020-12-25 17:33:19.000000,2020-12-25 17:33:18.000000,827.0,166.0,218.0,4013.0,2147.0,2020-01-21 01:18:06.000000,1.3.1,16.0,Distributed Evolutionary Algorithms in Python.,1979.0,1497.0,67.0,28,https://pypi.org/project/deap,2020-01-21 01:18:06.000000,482.0,123658.0,125619.0,https://anaconda.org/conda-forge/deap,2020-10-12 23:58:35.330000,105929.0,False,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n183,dataset,pudo/dataset,dataset,,,db-clients,,https://github.com/pudo/dataset,https://github.com/pudo/dataset,MIT,2013-04-01 14:57:55.000000,2020-12-16 15:25:48.000000,2020-11-14 22:02:17.000000,256.0,12.0,232.0,3952.0,655.0,2020-11-14 22:04:37.000000,1.4.1,46.0,\"Easy-to-use data handling for SQL data stores with support for implicit table creation, bulk loading, and transactions.\",2764.0,1736.0,71.0,28,https://pypi.org/project/dataset,2020-11-14 22:04:37.000000,1028.0,42207.0,42207.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n184,PyOD,yzhao062/pyod,pyod,,,others,,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04.000000,2020-12-23 15:20:44.000000,2020-12-23 15:20:10.000000,812.0,100.0,79.0,3946.0,1236.0,2020-12-23 02:28:48.000000,0.8.5,63.0,A Python Toolbox for Scalable Outlier Detection (Anomaly Detection).,439.0,433.0,20.0,28,https://pypi.org/project/pyod,2020-12-23 02:28:48.000000,6.0,96040.0,96040.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n185,Kornia,kornia/kornia,kornia,,,image,['pytorch'],https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000000,2020-12-25 16:12:26.000000,2020-12-22 23:16:53.000000,345.0,103.0,239.0,3447.0,1466.0,2020-10-20 19:31:49.000000,0.4.1,12.0,Open Source Differentiable Computer Vision Library for PyTorch.,215.0,215.0,78.0,28,https://pypi.org/project/kornia,2020-10-20 19:31:49.000000,0.0,15850.0,15850.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n186,dyNET,clab/dynet,dyNET,,,ml-frameworks,,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21.000000,2020-10-22 07:16:17.000000,2020-10-22 07:16:12.000000,692.0,255.0,658.0,3156.0,3260.0,2020-10-21 14:31:01.000000,2.1.2,24.0,DyNet: The Dynamic Neural Network Toolkit.,202.0,164.0,155.0,28,https://pypi.org/project/dyNET,2020-10-21 14:31:01.000000,38.0,5662.0,5686.0,,,,True,3,1205.0,,,,,,,,,,,,,,,,,,,,,,,,,\n187,Blaze,blaze/blaze,blaze,conda-forge/blaze,,data-containers,,https://github.com/blaze/blaze,https://github.com/blaze/blaze,BSD-3-Clause,2012-10-26 14:25:22.000000,2020-02-01 19:33:09.000000,2019-08-15 21:14:59.000000,373.0,262.0,500.0,2918.0,7496.0,2016-07-19 20:40:03.000000,0.11.0,14.0,NumPy and Pandas interface to Big Data.,7838.0,7350.0,64.0,28,https://pypi.org/project/blaze,2016-05-06 21:19:21.000000,488.0,10385.0,15067.0,https://anaconda.org/conda-forge/blaze,2018-07-15 22:16:17.685000,187303.0,False,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n188,Dedupe,dedupeio/dedupe,dedupe,,,nlp,,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36.000000,2020-12-24 19:43:22.000000,2020-11-09 02:38:13.000000,402.0,49.0,568.0,2849.0,2792.0,2020-09-02 00:17:19.000000,2.0.6,157.0,\"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.\",250.0,172.0,55.0,28,https://pypi.org/project/dedupe,2020-09-06 01:50:45.000000,78.0,52409.0,52409.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n189,PyCaret,pycaret/pycaret,pycaret,,,ml-experiments,,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000000,2020-12-25 12:35:36.000000,2020-12-22 22:14:34.000000,573.0,149.0,514.0,2742.0,1513.0,2020-12-22 22:10:30.000000,2.2.3,68.0,\"An open-source, low-code machine learning library in Python.\",552.0,552.0,38.0,28,https://pypi.org/project/pycaret,2020-12-22 22:10:30.000000,0.0,26855.0,26923.0,,,,True,2,344.0,,,,,,,,,,,,,,,,,,,,,,,,,\n190,phonenumbers,daviddrysdale/python-phonenumbers,phonenumbers,conda-forge/phonenumbers,,nlp,,https://github.com/daviddrysdale/python-phonenumbers,https://github.com/daviddrysdale/python-phonenumbers,Apache-2.0,2011-04-21 03:06:38.000000,2020-12-22 15:32:16.000000,2020-12-22 15:32:10.000000,324.0,3.0,110.0,2593.0,,2020-12-04 08:41:00.000000,8.12.15,166.0,Python port of Google's libphonenumber.,2280.0,,22.0,28,https://pypi.org/project/phonenumbers,2020-12-16 08:06:19.000000,2280.0,789567.0,796332.0,https://anaconda.org/conda-forge/phonenumbers,2019-08-04 21:19:59.322000,365316.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n191,VisPy,vispy/vispy,vispy,conda-forge/vispy,,data-viz,['jupyter'],https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22.000000,2020-12-22 03:47:57.000000,2020-11-28 02:03:40.000000,535.0,354.0,778.0,2537.0,6394.0,2020-12-14 15:55:00.000000,0.6.6,16.0,High-performance interactive 2D/3D data visualization library.,558.0,436.0,144.0,28,https://pypi.org/project/vispy,2020-11-28 02:55:50.000000,122.0,13557.0,16683.0,https://anaconda.org/conda-forge/vispy,2020-11-28 13:05:36.454000,116255.0,True,2,,,,,,,,,vispy,https://www.npmjs.com/package/vispy,2020-03-15 14:39:41.516000,,67.0,,,,,,,,,,,,,\n192,datashader,holoviz/datashader,datashader,conda-forge/datashader,,data-viz,,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000000,2020-12-23 23:10:02.000000,2020-12-23 23:09:56.000000,307.0,144.0,315.0,2376.0,1276.0,2020-08-16 19:52:29.000000,0.11.1,22.0,Quickly and accurately render even the largest data.,612.0,542.0,43.0,28,https://pypi.org/project/datashader,2020-12-23 17:43:10.000000,70.0,14588.0,18046.0,https://anaconda.org/conda-forge/datashader,2020-08-17 11:43:03.087000,127969.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n193,dbt,fishtown-analytics/dbt,dbt,conda-forge/dbt,,data-pipelines,,https://github.com/fishtown-analytics/dbt,https://github.com/fishtown-analytics/dbt,Apache-2.0,2016-03-10 02:38:00.000000,2020-12-24 23:02:56.000000,2020-12-22 19:07:20.000000,462.0,253.0,1408.0,2297.0,2481.0,2020-10-13 21:51:53.000000,0.18.1,139.0,dbt (data build tool) enables data analysts and engineers to transform their data using the same practices that..,168.0,159.0,127.0,28,https://pypi.org/project/dbt,2020-10-21 00:46:58.000000,9.0,88239.0,91239.0,https://anaconda.org/conda-forge/dbt,2020-05-14 13:55:32.153000,147027.0,True,2,,,dbt,,,,,,,,,,,,,,,,,,,,,,,\n194,sklearn-pandas,scikit-learn-contrib/sklearn-pandas,sklearn-pandas,,,data-containers,\"['sklearn', 'pandas']\",https://github.com/scikit-learn-contrib/sklearn-pandas,https://github.com/scikit-learn-contrib/sklearn-pandas,Zlib,2013-04-22 22:55:20.000000,2020-12-03 06:11:35.000000,2020-12-03 06:11:34.000000,377.0,40.0,116.0,2295.0,267.0,2020-10-01 20:56:27.000000,2.0.3,24.0,Pandas integration with sklearn.,1799.0,1577.0,35.0,28,https://pypi.org/project/sklearn-pandas,2020-11-07 02:30:27.000000,222.0,112672.0,112672.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n195,eli5,TeamHG-Memex/eli5,eli5,conda-forge/eli5,,interpretability,,https://github.com/TeamHG-Memex/eli5,https://github.com/TeamHG-Memex/eli5,MIT,2016-09-15 01:04:57.000000,2020-12-09 18:22:22.000000,2020-01-22 07:39:36.000000,282.0,125.0,108.0,2235.0,1198.0,2019-08-29 06:19:32.000000,0.10.1,27.0,A library for debugging/inspecting machine learning classifiers and explaining their predictions.,901.0,805.0,14.0,28,https://pypi.org/project/eli5,2019-08-29 06:19:32.000000,96.0,242332.0,244302.0,https://anaconda.org/conda-forge/eli5,2020-06-15 13:11:13.408000,84752.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n196,GPyTorch,cornellius-gp/gpytorch,gpytorch,,,probabilistics,['pytorch'],https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000000,2020-12-20 00:38:42.000000,2020-12-18 00:08:52.000000,308.0,190.0,613.0,2215.0,3202.0,2020-11-30 21:36:11.000000,1.3.0,24.0,A highly efficient and modular implementation of Gaussian Processes in PyTorch.,191.0,183.0,62.0,28,https://pypi.org/project/gpytorch,2020-11-30 21:38:19.000000,8.0,32823.0,32823.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n197,implicit,benfred/implicit,implicit,conda-forge/implicit,,recommender-systems,,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000000,2020-11-24 06:44:37.378000,2020-11-15 19:47:23.000000,452.0,76.0,255.0,2196.0,300.0,2020-09-15 22:01:38.000000,0.4.4,34.0,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,351.0,329.0,28.0,28,https://pypi.org/project/implicit,2020-09-15 22:01:38.000000,22.0,94338.0,99332.0,https://anaconda.org/conda-forge/implicit,2020-11-24 06:44:37.378000,174804.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n198,AzureML SDK,Azure/MachineLearningNotebooks,azureml-sdk,,,ml-experiments,,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000000,2020-12-12 00:49:34.000000,2020-12-12 00:49:33.000000,1464.0,53.0,842.0,2049.0,1081.0,2020-12-07 18:38:50.000000,1.19.0,65.0,Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft.,60.0,,52.0,28,https://pypi.org/project/azureml-sdk,2020-12-07 18:38:50.000000,60.0,294538.0,294552.0,,,,True,2,380.0,,,,,,,,,,,,,,,,,,,,,,,,,\n199,ImageHash,JohannesBuchner/imagehash,ImageHash,conda-forge/imagehash,,image,,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48.000000,2020-11-27 16:31:23.000000,2020-11-27 16:31:13.000000,241.0,17.0,69.0,1781.0,182.0,2020-11-19 14:54:24.000000,4.2.0,17.0,A Python Perceptual Image Hashing Module.,2294.0,1762.0,17.0,28,https://pypi.org/project/ImageHash,2020-11-19 14:54:24.000000,532.0,372032.0,373967.0,https://anaconda.org/conda-forge/imagehash,2020-11-19 18:20:49.964000,94845.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n200,Ibis,ibis-project/ibis,ibis-framework,conda-forge/ibis-framework,,db-clients,,https://github.com/ibis-project/ibis,https://github.com/ibis-project/ibis,Apache-2.0,2015-04-17 20:43:46.000000,2020-12-23 22:54:58.000000,2020-12-23 22:54:57.000000,243.0,515.0,939.0,1495.0,1321.0,2020-11-11 16:01:20.000000,1.4.0,24.0,\"A pandas-like deferred expression system, with first-class SQL support.\",177.0,129.0,70.0,28,https://pypi.org/project/ibis-framework,2020-11-11 16:01:20.000000,48.0,59767.0,62604.0,https://anaconda.org/conda-forge/ibis-framework,2020-11-13 03:18:14.785000,158875.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n201,pyLDAvis,bmabey/pyLDAvis,pyldavis,conda-forge/pyldavis,,interpretability,['jupyter'],https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03.000000,2020-12-03 09:31:49.000000,2020-12-02 18:10:12.000000,287.0,91.0,56.0,1369.0,218.0,2018-06-05 18:55:56.000000,2.1.2,17.0,Python library for interactive topic model visualization. Port of the R LDAvis package.,1725.0,1626.0,31.0,28,https://pypi.org/project/pyldavis,2018-06-05 18:55:56.000000,99.0,67130.0,67813.0,https://anaconda.org/conda-forge/pyldavis,2018-06-22 21:16:15.741000,20509.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n202,Flax,google/flax,flax,,,ml-frameworks,['jax'],https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000000,2020-12-27 02:38:45.000000,2020-12-23 18:20:44.000000,149.0,114.0,103.0,1316.0,1393.0,2020-12-08 15:13:37.000000,0.3.0,9.0,Flax is a neural network ecosystem for JAX that is designed for flexibility.,77.0,74.0,68.0,28,https://pypi.org/project/flax,2020-12-08 15:14:03.000000,3.0,60819.0,60821.0,,,,True,3,18.0,,,,,,,,,,,,,,,,,,,,,,,,,\n203,Bottleneck,pydata/bottleneck,Bottleneck,conda-forge/bottleneck,,data-containers,,https://github.com/pydata/bottleneck,https://github.com/pydata/bottleneck,BSD-2-Clause,2010-11-27 23:21:22.000000,2020-11-25 00:09:27.000000,2020-11-25 00:09:25.000000,61.0,22.0,177.0,566.0,1226.0,2020-02-21 06:22:16.000000,1.3.2,21.0,Fast NumPy array functions written in C.,20500.0,17608.0,20.0,28,https://pypi.org/project/Bottleneck,2020-02-21 06:22:16.000000,2892.0,187161.0,211714.0,https://anaconda.org/conda-forge/bottleneck,2020-10-12 10:23:18.707000,1350455.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n204,pyproj,pyproj4/pyproj,pyproj,conda-forge/pyproj,,geospatial-data,,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000000,2020-12-20 02:59:03.000000,2020-12-20 02:57:05.000000,146.0,6.0,372.0,557.0,1096.0,2020-11-05 13:39:29.000000,3.0.0.post1,34.0,Python interface to PROJ (cartographic projections and coordinate transformations library).,10411.0,7949.0,39.0,28,https://pypi.org/project/pyproj,2020-11-05 14:28:45.000000,2462.0,1148343.0,1178839.0,https://anaconda.org/conda-forge/pyproj,2020-11-06 22:55:31.654000,1829782.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n205,inflect,jaraco/inflect,inflect,conda-forge/inflect,,nlp,,https://github.com/jaraco/inflect,https://github.com/jaraco/inflect,MIT,2010-06-20 13:43:13.000000,2020-12-18 02:56:48.000000,2020-11-15 19:27:28.000000,57.0,13.0,58.0,463.0,590.0,2020-11-15 17:41:03.000000,5.0.2,30.0,\"Correctly generate plurals, ordinals, indefinite articles; convert numbers to words.\",1388.0,,25.0,28,https://pypi.org/project/inflect,2020-11-15 17:40:58.000000,1388.0,910429.0,913194.0,https://anaconda.org/conda-forge/inflect,2020-11-15 19:06:38.533000,121674.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n206,minio,minio/minio-py,minio,conda-forge/minio,,db-clients,,https://github.com/minio/minio-py,https://github.com/minio/minio-py,Apache-2.0,2015-06-17 03:51:15.000000,2020-12-10 17:13:57.000000,2020-12-10 17:13:56.000000,169.0,9.0,365.0,385.0,1005.0,2020-12-08 20:45:54.000000,7.0.0,84.0,MinIO Client SDK for Python.,1534.0,1190.0,88.0,28,https://pypi.org/project/minio,2020-12-08 20:28:35.000000,344.0,173816.0,174663.0,https://anaconda.org/conda-forge/minio,2020-12-08 21:39:26.963000,15263.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n207,DIPY,dipy/dipy,dipy,conda-forge/dipy,,medical-data,,https://github.com/dipy/dipy,https://github.com/dipy/dipy,BSD-3-Clause,2010-02-06 11:43:08.000000,2020-12-17 18:09:13.000000,2020-12-10 16:48:07.000000,313.0,156.0,571.0,371.0,11365.0,2020-11-05 17:35:53.000000,1.3.0,21.0,\"DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal..\",407.0,313.0,118.0,28,https://pypi.org/project/dipy,2020-11-05 17:35:53.000000,94.0,7731.0,10817.0,https://anaconda.org/conda-forge/dipy,2020-11-14 18:28:50.683000,169741.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n208,Cython BLIS,explosion/cython-blis,blis,conda-forge/cython-blis,,others,,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16.000000,2020-12-07 11:23:01.451000,2020-12-07 07:21:11.000000,22.0,6.0,15.0,157.0,524.0,2020-12-07 08:56:44.000000,0.7.4,35.0,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,7849.0,7459.0,9.0,28,https://pypi.org/project/blis,2020-12-07 08:56:44.000000,390.0,814670.0,832656.0,https://anaconda.org/conda-forge/cython-blis,2020-12-07 11:23:01.451000,377712.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n209,CNTK,microsoft/CNTK,cntk,,,ml-frameworks,,https://github.com/microsoft/CNTK,https://github.com/microsoft/CNTK,MIT,2015-11-26 09:52:06.000000,2020-12-09 22:21:57.000000,2020-03-31 15:55:14.000000,4421.0,805.0,2513.0,16941.0,16116.0,2019-04-26 14:13:32.000000,2.7,32.0,\"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.\",17.0,,265.0,27,https://pypi.org/project/cntk,2020-12-09 22:21:57.000000,17.0,1460.0,1690.0,,,,True,3,13579.0,,,,,,,,,,,,,,,,,,,,,,,,,\n210,Dopamine,google/dopamine,dopamine-rl,,,reinforcement-learning,['tensorflow'],https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36.000000,2020-11-24 20:59:46.000000,2020-11-24 20:59:42.000000,1225.0,72.0,68.0,9249.0,210.0,2020-10-16 22:05:03.000000,3.1.8,34.0,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,31.0,,13.0,27,https://pypi.org/project/dopamine-rl,2020-10-16 22:05:03.000000,31.0,66186.0,66186.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n211,AutoKeras,keras-team/autokeras,autokeras,,,hyperopt,['keras'],https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20.000000,2020-12-21 17:00:14.000000,2020-12-11 07:59:44.000000,1241.0,59.0,647.0,7658.0,1228.0,2020-11-30 02:43:50.000000,1.0.12,46.0,AutoML library for deep learning.,146.0,139.0,125.0,27,https://pypi.org/project/autokeras,2020-11-30 02:43:50.000000,7.0,6303.0,6303.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n212,pretrainedmodels,Cadene/pretrained-models.pytorch,pretrainedmodels,,,pytorch-utils,['pytorch'],https://github.com/Cadene/pretrained-models.pytorch,https://github.com/Cadene/pretrained-models.pytorch,BSD-3-Clause,2017-04-09 15:54:23.000000,2020-06-08 16:06:59.000000,2020-04-16 08:02:22.000000,1606.0,85.0,86.0,7553.0,154.0,2018-10-29 08:18:45.000000,0.7.4,16.0,\"Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.\",897.0,793.0,22.0,27,https://pypi.org/project/pretrainedmodels,2018-10-29 08:18:45.000000,104.0,23165.0,23165.0,,,,True,1,,,,,,,,,,,,,,,True,,,,,,,,,,,\n213,Google Images Download,hardikvasa/google-images-download,google_images_download,,,web-scraping,,https://github.com/hardikvasa/google-images-download,https://github.com/hardikvasa/google-images-download,MIT,2015-03-28 16:50:28.000000,2020-12-06 13:01:13.000000,2019-05-21 18:24:10.000000,1699.0,103.0,159.0,7322.0,156.0,2019-05-14 00:35:40.000000,2.7.1,39.0,Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!.,214.0,,38.0,27,https://pypi.org/project/google_images_download,2019-05-14 00:35:40.000000,214.0,20671.0,20671.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n214,dgl,dmlc/dgl,dgl,,,graph,,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000000,2020-12-27 15:18:28.000000,2020-12-27 03:00:18.000000,1265.0,215.0,653.0,6364.0,1449.0,2020-11-30 07:39:12.000000,0.5.3,331.0,\"Python package built to ease deep learning on graph, on top of existing DL frameworks.\",30.0,,93.0,27,https://pypi.org/project/dgl,2020-12-27 08:43:11.000000,30.0,15320.0,15320.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n215,OpenNMT,OpenNMT/OpenNMT-py,OpenNMT-py,,,nlp,['pytorch'],https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000000,2020-12-16 10:12:20.000000,2020-12-09 16:36:52.000000,1742.0,94.0,1110.0,4712.0,2525.0,2020-11-10 18:09:08.000000,2.0.0rc2,26.0,Open Source Neural Machine Translation in PyTorch.,68.0,64.0,164.0,27,https://pypi.org/project/OpenNMT-py,2020-11-10 18:10:02.000000,4.0,3994.0,3994.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n216,GluonCV,dmlc/gluon-cv,gluoncv,,,image,['mxnet'],https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21.000000,2020-12-26 09:01:43.000000,2020-12-19 05:52:40.000000,1018.0,370.0,371.0,4413.0,818.0,2020-12-02 23:04:17.000000,0.9.0,945.0,Gluon CV Toolkit.,409.0,379.0,106.0,27,https://pypi.org/project/gluoncv,2020-12-26 09:01:43.000000,30.0,45217.0,45217.0,,,,True,2,,,,,,,,,,,,,,,,-1.0,,,,,,,,,,\n217,skorch,skorch-dev/skorch,skorch,conda-forge/skorch,,ml-frameworks,\"['pytorch', 'sklearn']\",https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000000,2020-12-25 23:01:19.000000,2020-12-25 23:01:18.000000,272.0,48.0,311.0,3690.0,935.0,2020-08-30 10:46:40.000000,0.9.0,12.0,A scikit-learn compatible neural network library that wraps PyTorch.,258.0,245.0,39.0,27,https://pypi.org/project/skorch,2020-08-30 10:43:37.000000,13.0,7918.0,13710.0,https://anaconda.org/conda-forge/skorch,2020-09-19 04:12:07.576000,156384.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n218,OCRmyPDF,jbarlow83/OCRmyPDF,ocrmypdf,,,ocr,,https://github.com/jbarlow83/OCRmyPDF,https://github.com/jbarlow83/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000000,2020-12-27 12:50:29.000000,2020-12-27 11:29:35.000000,411.0,85.0,550.0,3577.0,2796.0,2020-12-27 12:50:29.000000,11.4.2,154.0,\"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.\",112.0,100.0,47.0,27,https://pypi.org/project/ocrmypdf,2020-12-27 12:50:29.000000,12.0,13409.0,13409.0,,,,True,2,,,ocrmypdf,,,,,,,,,,,,,,ocrmypdf,,,,,,,,,\n219,imutils,jrosebr1/imutils,imutils,conda-forge/imutils,,image,,https://github.com/jrosebr1/imutils,https://github.com/jrosebr1/imutils,MIT,2015-01-11 20:05:39.000000,2020-12-24 22:54:44.000000,2019-08-18 11:50:57.000000,851.0,123.0,75.0,3449.0,137.0,2019-08-18 11:56:06.000000,0.5.3,28.0,\"A series of convenience functions to make basic image processing operations such as translation, rotation, resizing,..\",12281.0,11085.0,19.0,27,https://pypi.org/project/imutils,2019-08-18 11:56:06.000000,1196.0,160701.0,162533.0,https://anaconda.org/conda-forge/imutils,2020-11-01 14:10:29.531000,32985.0,False,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n220,lightfm,lyst/lightfm,lightfm,conda-forge/lightfm,,recommender-systems,,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00.000000,2020-12-07 16:07:27.944000,2020-11-27 19:54:37.000000,561.0,127.0,272.0,3431.0,404.0,2020-11-27 19:48:30.000000,1.16,14.0,\"A Python implementation of LightFM, a hybrid recommendation algorithm.\",394.0,366.0,42.0,27,https://pypi.org/project/lightfm,2020-11-27 19:55:08.000000,28.0,97032.0,99049.0,https://anaconda.org/conda-forge/lightfm,2020-12-07 16:07:27.944000,70609.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n221,InterpretML,interpretml/interpret,interpret,,,interpretability,['jupyter'],https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000000,2020-12-21 22:57:33.000000,2020-12-21 18:51:26.000000,409.0,50.0,118.0,3342.0,1403.0,2020-10-20 01:41:37.000000,0.2.2,32.0,Fit interpretable models. Explain blackbox machine learning.,60.0,58.0,21.0,27,https://pypi.org/project/interpret,2020-10-20 01:35:45.000000,2.0,11772.0,11772.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n222,Kedro,quantumblacklabs/kedro,kedro,,,data-pipelines,,https://github.com/quantumblacklabs/kedro,https://github.com/quantumblacklabs/kedro,Apache-2.0,2019-04-18 10:29:56.000000,2020-12-26 19:14:49.000000,2020-12-17 16:05:09.000000,379.0,81.0,329.0,3254.0,1096.0,2020-12-17 13:31:56.000000,0.17.0,24.0,\"A Python framework for creating reproducible, maintainable and modular data science code.\",356.0,340.0,89.0,27,https://pypi.org/project/kedro,2020-12-17 13:31:56.000000,16.0,58660.0,58660.0,,,,True,2,,,,,,,,,,,,,,,,-1.0,,,,,,,,,,\n223,Ignite,pytorch/ignite,pytorch-ignite,pytorch/ignite,,ml-frameworks,['pytorch'],https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000000,2020-12-27 12:28:25.000000,2020-12-27 12:22:57.000000,403.0,98.0,583.0,3196.0,837.0,2020-09-20 20:00:28.000000,0.4.2,419.0,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,732.0,670.0,116.0,27,https://pypi.org/project/pytorch-ignite,2020-12-27 00:42:03.000000,62.0,28193.0,29864.0,https://anaconda.org/pytorch/ignite,2020-09-20 20:00:11.134000,50149.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n224,Alpha Vantage,RomelTorres/alpha_vantage,alpha_vantage,,,financial-data,,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00.000000,2020-12-21 19:51:59.000000,2020-12-21 19:51:57.000000,541.0,16.0,194.0,2936.0,497.0,2020-12-21 02:37:29.000000,2.3.1,28.0,A python wrapper for Alpha Vantage API for financial data.,202.0,,36.0,27,https://pypi.org/project/alpha_vantage,2018-08-26 18:55:11.000000,202.0,26141.0,26141.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n225,missingno,ResidentMario/missingno,missingno,conda-forge/missingno,,data-viz,,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50.000000,2020-11-23 17:34:43.000000,2020-11-23 17:34:42.000000,331.0,15.0,86.0,2582.0,169.0,2019-07-09 16:03:51.000000,0.4.2,21.0,Missing data visualization module for Python.,2597.0,2521.0,14.0,27,https://pypi.org/project/missingno,2018-06-29 16:25:00.000000,76.0,201588.0,203184.0,https://anaconda.org/conda-forge/missingno,2020-02-15 10:07:41.253000,65472.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n226,pomegranate,jmschrei/pomegranate,pomegranate,conda-forge/pomegranate,,probabilistics,,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000000,2020-12-15 20:41:34.000000,2020-12-12 22:53:40.000000,461.0,39.0,526.0,2550.0,839.0,2020-07-12 21:28:17.000000,0.13.4,59.0,\"Fast, flexible and easy to use probabilistic modelling in Python.\",393.0,365.0,60.0,27,https://pypi.org/project/pomegranate,2020-07-12 21:28:17.000000,28.0,20465.0,22890.0,https://anaconda.org/conda-forge/pomegranate,2020-11-01 16:22:04.857000,41230.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n227,Catalyst,catalyst-team/catalyst,catalyst,,,ml-experiments,['pytorch'],https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13.000000,2020-12-27 15:08:00.000000,2020-12-25 06:30:48.000000,260.0,28.0,257.0,2338.0,1465.0,2020-12-20 10:12:32.000000,20.12,86.0,Accelerated deep learning R&D.,290.0,252.0,80.0,27,https://pypi.org/project/catalyst,2020-12-20 10:06:58.000000,38.0,9225.0,9225.0,,,,True,2,,,,,,,,,,,,,,,,-1.0,,,,,,,,,,\n228,pygal,Kozea/pygal,pygal,conda-forge/pygal,,graph,,https://github.com/Kozea/pygal,https://github.com/Kozea/pygal,LGPL-3.0,2011-09-23 10:17:50.000000,2020-12-24 20:11:00.000000,2020-10-14 16:41:45.000000,380.0,164.0,240.0,2296.0,1012.0,2017-07-05 09:22:41.000000,2.4.0,74.0,PYthon svg GrAph plotting Library.,1152.0,,69.0,27,https://pypi.org/project/pygal,2020-10-14 13:06:35.000000,1152.0,63720.0,64031.0,https://anaconda.org/conda-forge/pygal,2019-06-04 02:55:56.728000,5598.0,False,1,,,,,,,,,,,,,,,True,-1.0,,,,,,,,,,\n229,NMSLIB,nmslib/nmslib,nmslib,conda-forge/nmslib,,nn-search,,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06.000000,2020-12-26 23:02:17.000000,2020-11-03 18:25:07.000000,328.0,44.0,310.0,2235.0,1421.0,2020-04-16 18:21:23.000000,2.0.6,21.0,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,352.0,300.0,40.0,27,https://pypi.org/project/nmslib,2020-04-16 18:21:23.000000,52.0,44703.0,45694.0,https://anaconda.org/conda-forge/nmslib,2020-11-27 07:52:15.202000,7931.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n230,GluonNLP,dmlc/gluon-nlp,gluonnlp,,,nlp,['mxnet'],https://github.com/dmlc/gluon-nlp,https://github.com/dmlc/gluon-nlp,Apache-2.0,2018-04-04 20:57:13.000000,2020-12-27 07:15:53.000000,2020-10-08 21:11:34.000000,490.0,227.0,281.0,2196.0,784.0,2020-08-13 19:16:27.000000,0.10.0,25.0,\"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..\",367.0,356.0,72.0,27,https://pypi.org/project/gluonnlp,2020-08-13 01:28:51.000000,11.0,34165.0,34165.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n231,Cufflinks,santosjorge/cufflinks,cufflinks,,,data-viz,['pandas'],https://github.com/santosjorge/cufflinks,https://github.com/santosjorge/cufflinks,MIT,2014-11-19 20:59:33.000000,2020-10-07 16:12:54.000000,2020-10-07 16:12:53.000000,501.0,79.0,119.0,2028.0,450.0,2020-03-01 17:42:01.000000,0.17.3,27.0,Productivity Tools for Plotly + Pandas.,2662.0,2428.0,37.0,27,https://pypi.org/project/cufflinks,2020-03-01 17:42:01.000000,234.0,51368.0,51368.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n232,Databases,encode/databases,databases,conda-forge/databases,,db-clients,,https://github.com/encode/databases,https://github.com/encode/databases,BSD-3-Clause,2019-02-01 10:55:25.000000,2020-12-10 06:34:13.000000,2020-12-10 06:34:11.000000,131.0,88.0,87.0,1863.0,268.0,2020-11-16 20:54:58.000000,0.4.1,29.0,Async database support for Python.,1307.0,1247.0,28.0,27,https://pypi.org/project/databases,2020-11-16 20:54:58.000000,60.0,45365.0,48856.0,https://anaconda.org/conda-forge/databases,2020-11-21 20:34:38.553000,76821.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n233,hdbscan,scikit-learn-contrib/hdbscan,hdbscan,conda-forge/hdbscan,,others,['sklearn'],https://github.com/scikit-learn-contrib/hdbscan,https://github.com/scikit-learn-contrib/hdbscan,BSD-3-Clause,2015-04-22 13:32:37.000000,2020-12-17 03:36:32.000000,2020-12-17 03:36:31.000000,334.0,213.0,139.0,1774.0,858.0,2020-03-19 19:19:04.000000,0.8.26,42.0,A high performance implementation of HDBSCAN clustering.,812.0,688.0,63.0,27,https://pypi.org/project/hdbscan,2020-03-19 19:19:04.000000,124.0,136442.0,145850.0,https://anaconda.org/conda-forge/hdbscan,2020-11-02 02:54:21.050000,498646.0,True,2,,,,,,,,,,,,,,,True,,,,,,,,,,,\n234,TF-Agents,tensorflow/agents,tf-agents,,,reinforcement-learning,['tensorflow'],https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000000,2020-12-27 05:35:09.000000,2020-12-27 05:34:28.000000,443.0,98.0,301.0,1734.0,1572.0,2020-11-17 03:53:32.000000,0.7.0,16.0,TF-Agents is a library for Reinforcement Learning in TensorFlow.,334.0,328.0,84.0,27,https://pypi.org/project/tf-agents,2020-12-15 19:06:26.000000,6.0,6914.0,6914.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n235,libcloud,apache/libcloud,apache-libcloud,,,db-clients,,https://github.com/apache/libcloud,https://github.com/apache/libcloud,Apache-2.0,2009-12-11 09:00:14.000000,2020-12-22 04:00:35.000000,2020-12-19 14:47:59.000000,880.0,30.0,63.0,1730.0,,2020-09-20 13:03:47.000000,3.2.0,61.0,Apache Libcloud is a Python library which hides differences between different cloud provider APIs and allows you to..,3119.0,1577.0,418.0,27,https://pypi.org/project/apache-libcloud,2020-09-20 13:03:47.000000,1542.0,55117.0,55117.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n236,textacy,chartbeat-labs/textacy,textacy,conda-forge/textacy,,nlp,,https://github.com/chartbeat-labs/textacy,https://github.com/chartbeat-labs/textacy,Apache-2.0,2016-02-03 16:52:45.000000,2020-12-16 17:26:04.000000,2020-12-06 20:43:27.000000,211.0,29.0,194.0,1577.0,1328.0,2020-08-29 20:51:05.000000,0.10.1,29.0,\"NLP, before and after spaCy.\",77.0,,28.0,27,https://pypi.org/project/textacy,2020-08-29 20:51:28.000000,77.0,29137.0,30836.0,https://anaconda.org/conda-forge/textacy,2020-11-19 15:32:56.211000,73059.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n237,datasketch,ekzhu/datasketch,datasketch,,,data-containers,,https://github.com/ekzhu/datasketch,https://github.com/ekzhu/datasketch,MIT,2015-03-20 01:21:46.000000,2020-12-23 21:01:58.000000,2020-12-23 21:00:36.000000,198.0,19.0,90.0,1400.0,193.0,2020-12-15 20:59:57.000000,1.5.2,74.0,\"MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble.\",328.0,242.0,16.0,27,https://pypi.org/project/datasketch,2020-12-15 20:59:57.000000,86.0,193754.0,193754.0,,,,True,3,16.0,,,,,,,,,,,,,,,,,,,,,,,,,\n238,Cartopy,mapbox/rasterio,Cartopy,conda-forge/cartopy,,geospatial-data,,https://github.com/mapbox/rasterio,https://github.com/mapbox/rasterio,LGPL-3.0,2013-11-04 16:36:27.000000,2020-12-21 22:49:27.196000,2020-12-15 00:21:46.000000,387.0,135.0,1183.0,1390.0,3239.0,2018-11-17 07:43:32.000000,0.17.0,18.0,Rasterio reads and writes geospatial raster datasets.,2710.0,2537.0,109.0,27,https://pypi.org/project/Cartopy,2020-04-27 04:57:38.000000,173.0,12514.0,35045.0,https://anaconda.org/conda-forge/cartopy,2020-12-21 22:49:27.196000,1283722.0,False,2,702.0,,,,,,,,,,,,,,,,,,,,,,,,,\n239,GPflow,GPflow/GPflow,gpflow,conda-forge/gpflow,,probabilistics,['tensorflow'],https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000000,2020-12-21 12:16:16.000000,2020-12-01 11:59:33.000000,389.0,86.0,599.0,1355.0,2203.0,2020-12-01 12:59:03.000000,2.1.4,28.0,Gaussian processes in TensorFlow.,223.0,206.0,68.0,27,https://pypi.org/project/gpflow,2020-12-01 13:12:15.000000,17.0,4923.0,5178.0,https://anaconda.org/conda-forge/gpflow,2018-11-06 08:51:39.744000,7923.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n240,ipyleaflet,jupyter-widgets/ipyleaflet,ipyleaflet,conda-forge/ipyleaflet,,geospatial-data,['jupyter'],https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10.000000,2020-12-12 05:33:28.000000,2020-11-30 13:43:59.000000,264.0,124.0,246.0,1066.0,892.0,2020-07-29 08:54:44.000000,0.13.3,66.0,A Jupyter - Leaflet.js bridge.,747.0,647.0,63.0,27,https://pypi.org/project/ipyleaflet,2020-07-24 15:15:48.000000,98.0,15764.0,171573.0,https://anaconda.org/conda-forge/ipyleaflet,2020-07-29 11:54:47.139000,568887.0,True,2,,,,,,,,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2020-07-24 14:55:26.216000,2.0,145466.0,,,,,,,,,,,,,\n241,PyCUDA,inducer/pycuda,pycuda,,,gpu-utilities,,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000000,2020-12-20 19:34:17.000000,2020-12-20 19:30:13.000000,214.0,40.0,122.0,1044.0,1447.0,2019-08-12 04:15:37.000000,2019.1.2,46.0,\"CUDA integration for Python, plus shiny features.\",990.0,698.0,68.0,27,https://pypi.org/project/pycuda,2020-10-07 21:59:52.000000,292.0,14650.0,14650.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n242,Model Analysis,tensorflow/model-analysis,tensorflow-model-analysis,,,interpretability,\"['tensorflow', 'jupyter']\",https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000000,2020-12-23 22:44:50.000000,2020-12-23 22:44:44.000000,203.0,22.0,32.0,1014.0,871.0,2020-12-16 20:56:20.000000,0.26.0,33.0,Model analysis tools for TensorFlow.,10.0,,33.0,27,https://pypi.org/project/tensorflow-model-analysis,2020-12-16 20:56:20.000000,10.0,5058094.0,5058094.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n243,PyStan,stan-dev/pystan,pystan,conda-forge/pystan,,probabilistics,,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,GPL-3.0,2013-05-24 01:21:21.000000,2020-11-21 11:22:51.000000,2020-11-21 11:22:43.000000,192.0,66.0,425.0,896.0,867.0,2020-10-16 20:20:46.000000,2.19.1.1-codes,54.0,\"PyStan, the Python interface to Stan.\",2660.0,2318.0,54.0,27,https://pypi.org/project/pystan,2020-11-19 14:21:16.000000,342.0,773127.0,791458.0,https://anaconda.org/conda-forge/pystan,2020-08-25 22:40:14.631000,824885.0,False,2,84.0,,,,,,,,,,,,,,,,,,,,,,,,,\n244,pyopencl,inducer/pyopencl,pyopencl,conda-forge/pyopencl,,others,,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,MIT,2011-04-06 02:51:33.000000,2020-12-20 04:35:35.000000,2020-12-20 04:35:27.000000,199.0,50.0,205.0,758.0,2796.0,2020-09-11 21:50:46.000000,2020.3.1,54.0,\"OpenCL integration for Python, plus shiny features.\",671.0,433.0,82.0,27,https://pypi.org/project/pyopencl,2020-11-20 05:22:46.000000,238.0,6069.0,11945.0,https://anaconda.org/conda-forge/pyopencl,2020-11-20 05:04:27.429000,293829.0,True,2,,,,,,,,,,,,,,,True,,,,,,,,,,,\n245,igraph,igraph/python-igraph,python-igraph,conda-forge/igraph,,graph,,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16.000000,2020-12-11 08:07:37.000000,2020-12-11 08:07:36.000000,180.0,23.0,254.0,748.0,1502.0,2020-10-08 14:50:52.000000,0.8.3,18.0,Python interface for igraph.,1779.0,1355.0,47.0,27,https://pypi.org/project/python-igraph,2020-04-28 17:45:27.000000,424.0,51365.0,55848.0,https://anaconda.org/conda-forge/igraph,2020-11-13 06:39:57.318000,189908.0,False,1,21306.0,,,,,,,,,,,,,,,,,,,,,,,,,\n246,geojson,jazzband/geojson,geojson,conda-forge/geojson,,geospatial-data,,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48.000000,2020-11-25 21:55:02.000000,2020-11-25 19:10:27.000000,78.0,18.0,50.0,582.0,445.0,2019-08-09 20:32:15.000000,2.5.0,28.0,Python bindings and utilities for GeoJSON.,7035.0,5431.0,44.0,27,https://pypi.org/project/geojson,2019-08-09 20:32:15.000000,1604.0,423478.0,429654.0,https://anaconda.org/conda-forge/geojson,2019-08-11 12:10:34.426000,352053.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n247,detectron2,facebookresearch/detectron2,,conda-forge/detectron2,,image,['pytorch'],https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000000,2020-12-27 06:15:02.000000,2020-12-27 06:14:55.000000,3451.0,84.0,2041.0,14230.0,889.0,2020-11-06 03:20:56.000000,0.3,7.0,Detectron2 is FAIR's next-generation platform for object detection and segmentation.,139.0,139.0,138.0,26,,,,,1678.0,https://anaconda.org/conda-forge/detectron2,2020-08-05 13:27:52.058000,11750.0,True,2,,,,,,,,,,,,,,,,3.0,,,,,,,,,,\n248,Streamlit,streamlit/streamlit,streamlit,,,others,,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000000,2020-12-27 06:35:41.000000,2020-12-24 17:46:55.000000,1028.0,509.0,918.0,12305.0,,2020-12-22 21:30:50.000000,0.73.0,120.0,Streamlit The fastest way to build data apps in Python.,75.0,41.0,82.0,26,https://pypi.org/project/streamlit,2020-12-21 23:18:07.000000,34.0,118812.0,118812.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n249,EasyOCR,JaidedAI/EasyOCR,easyocr,,,ocr,,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000000,2020-12-25 10:41:40.000000,2020-12-19 08:40:04.000000,899.0,74.0,152.0,9627.0,365.0,2020-11-17 05:17:50.000000,1.2,13.0,\"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..\",93.0,93.0,73.0,26,https://pypi.org/project/easyocr,2020-11-21 11:04:24.000000,,8551.0,21853.0,,,,True,2,79814.0,,,,,,,,,,,,,,,,,,,,,,,,,\n250,NNI,microsoft/nni,nni,,,hyperopt,,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44.000000,2020-12-27 15:23:54.000000,2020-12-21 04:33:04.000000,1087.0,235.0,851.0,8571.0,1844.0,2020-10-22 13:31:52.000000,1.9,34.0,\"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..\",84.0,76.0,111.0,26,https://pypi.org/project/nni,2020-10-22 13:15:53.000000,8.0,2148.0,2148.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n251,InsightFace,deepinsight/insightface,insightface,,,image,['mxnet'],https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,MIT,2017-09-01 00:36:51.000000,2020-12-26 09:06:31.000000,2020-12-26 09:06:22.000000,2840.0,684.0,639.0,8274.0,1460.0,2019-09-07 13:47:11.000000,0.1.5,6.0,Face Analysis Project on MXNet.,47.0,46.0,14.0,26,https://pypi.org/project/insightface,2019-09-07 13:47:11.000000,1.0,6213.0,6213.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n252,Ludwig,ludwig-ai/ludwig,ludwig,,,ml-frameworks,['tensorflow'],https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000000,2020-12-25 23:27:42.000000,2020-12-24 21:12:21.000000,867.0,96.0,405.0,7377.0,2041.0,2020-11-16 23:55:59.000000,0.3.1,14.0,Ludwig is a toolbox that allows to train and evaluate deep learning models without the need to write code.,78.0,72.0,84.0,26,https://pypi.org/project/ludwig,2020-10-05 23:55:39.000000,6.0,1183.0,1183.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n253,PySyft,OpenMined/PySyft,syft,,,privacy-ml,['pytorch'],https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,MIT,2017-07-18 20:41:16.000000,2020-12-26 19:38:48.000000,2020-12-24 01:31:08.000000,1509.0,173.0,2442.0,6681.0,6515.0,2020-11-12 19:57:33.000000,0.3.0,48.0,A library for answering questions using data you cannot see.,3.0,,331.0,26,https://pypi.org/project/syft,2020-09-14 15:03:40.000000,3.0,2328.0,2328.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n254,TensorLayer,tensorlayer/tensorlayer,tensorlayer,,,reinforcement-learning,['tensorflow'],https://github.com/tensorlayer/tensorlayer,https://github.com/tensorlayer/tensorlayer,Apache-2.0,2016-06-07 15:55:16.000000,2020-12-23 00:56:45.000000,2020-10-29 07:58:40.000000,1444.0,48.0,403.0,6433.0,3299.0,2020-06-19 00:53:37.000000,2.2.3,82.0,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,68.0,,127.0,26,https://pypi.org/project/tensorlayer,2020-06-19 00:53:37.000000,68.0,2693.0,2716.0,,,,True,2,1196.0,,,,,,,,,,,,,,,,,,,,,,,,,\n255,imageai,OlafenwaMoses/ImageAI,imageai,,,image,,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33.000000,2020-12-24 13:14:27.000000,2020-01-14 21:25:23.000000,1556.0,194.0,384.0,5578.0,277.0,2019-09-13 22:44:02.000000,2.1.5,9.0,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,643.0,631.0,13.0,26,https://pypi.org/project/imageai,2019-09-13 22:44:02.000000,12.0,5990.0,22110.0,,,,True,2,515844.0,,,,,,,,,,,,,,,,,,,,,,,,,\n256,carla,carla-simulator/carla,carla,,,others,,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000000,2020-12-24 15:35:17.000000,2020-12-22 22:54:58.000000,1527.0,248.0,2627.0,5373.0,4756.0,2020-12-23 07:08:35.000000,0.9.11,22.0,Open-source simulator for autonomous driving research.,55.0,53.0,122.0,26,https://pypi.org/project/carla,2019-04-28 17:45:24.000000,2.0,744.0,744.0,,,,True,2,,,,,,,,,,,,,,,True,,,,,,,,,,,\n257,tsfresh,blue-yonder/tsfresh,tsfresh,conda-forge/tsfresh,,time-series-data,['sklearn'],https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17.000000,2020-12-23 10:30:07.000000,2020-12-23 10:30:05.000000,813.0,29.0,390.0,5250.0,398.0,2020-09-09 21:08:22.000000,0.17.0,26.0,Automatic extraction of relevant features from time series:.,33.0,,70.0,26,https://pypi.org/project/tsfresh,2020-09-09 21:08:22.000000,33.0,159203.0,159879.0,https://anaconda.org/conda-forge/tsfresh,2020-09-10 08:48:19.773000,25032.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n258,backtrader,mementum/backtrader,backtrader,,,financial-data,,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52.000000,2020-12-24 19:58:54.000000,2020-07-03 12:52:48.000000,1617.0,13.0,,5246.0,2381.0,,,155.0,Python Backtesting library for trading strategies.,473.0,403.0,50.0,26,https://pypi.org/project/backtrader,2020-07-03 13:02:14.000000,70.0,14321.0,14321.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n259,DeepPavlov,deepmipt/DeepPavlov,deeppavlov,,,nlp,\"['tensorflow', 'keras']\",https://github.com/deepmipt/DeepPavlov,https://github.com/deepmipt/DeepPavlov,Apache-2.0,2017-11-17 14:35:29.000000,2020-12-27 12:30:49.000000,2020-12-24 16:30:15.000000,884.0,69.0,445.0,4908.0,2579.0,2020-12-24 16:35:56.000000,0.14.0,41.0,An open source library for deep learning end-to-end dialog systems and chatbots.,170.0,166.0,61.0,26,https://pypi.org/project/deeppavlov,2020-12-24 16:33:49.000000,4.0,7380.0,7380.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n260,keras-rl,keras-rl/keras-rl,keras-rl,,,reinforcement-learning,['keras'],https://github.com/keras-rl/keras-rl,https://github.com/keras-rl/keras-rl,MIT,2016-07-02 15:53:12.000000,2020-11-20 07:32:13.000000,2019-11-11 22:14:54.000000,1284.0,39.0,210.0,4898.0,308.0,2018-06-01 07:52:24.000000,0.4.2,8.0,Deep Reinforcement Learning for Keras.,490.0,439.0,40.0,26,https://pypi.org/project/keras-rl,2018-06-01 07:52:24.000000,51.0,1553.0,1553.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n261,Bayesian Optimization,fmfn/BayesianOptimization,bayesian-optimization,,,hyperopt,,https://github.com/fmfn/BayesianOptimization,https://github.com/fmfn/BayesianOptimization,MIT,2014-06-06 08:18:56.000000,2020-12-24 10:51:12.000000,2020-12-19 01:11:23.000000,1025.0,42.0,163.0,4737.0,199.0,2020-05-16 16:03:51.000000,1.2.0,8.0,A Python implementation of global optimization with gaussian processes.,643.0,551.0,27.0,26,https://pypi.org/project/bayesian-optimization,2020-05-16 15:56:09.000000,92.0,58175.0,58176.0,,,,True,2,44.0,,,,,,,,,,,,,,,,,,,,,,,,,\n262,PDFMiner,euske/pdfminer,pdfminer,conda-forge/pdfminer,,data-loading,,https://github.com/euske/pdfminer,https://github.com/euske/pdfminer,MIT,2010-12-12 12:50:22.000000,2020-06-23 18:16:10.000000,2020-01-18 07:00:32.000000,1024.0,222.0,38.0,4457.0,540.0,,,24.0,Python PDF Parser (Not actively maintained). Check out pdfminer.six.,3399.0,1933.0,28.0,26,https://pypi.org/project/pdfminer,2019-11-25 12:02:21.000000,1466.0,172252.0,172508.0,https://anaconda.org/conda-forge/pdfminer,2019-11-03 18:50:06.843000,13317.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n263,Datasette,simonw/datasette,datasette,,,others,,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000000,2020-12-24 11:24:11.000000,2020-12-23 17:04:32.000000,241.0,209.0,719.0,4425.0,1531.0,2020-12-11 01:46:44.000000,0.53,87.0,An open source multi-tool for exploring and publishing data.,396.0,326.0,41.0,26,https://pypi.org/project/datasette,2020-12-11 01:53:37.000000,70.0,7639.0,7639.0,,,,True,2,,,datasette,,,,,,,,,,,,True,,,,,,,,,,,\n264,Metaflow,Netflix/metaflow,metaflow,conda-forge/metaflow,,ml-experiments,,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000000,2020-12-17 16:56:23.000000,2020-12-01 22:33:03.000000,310.0,107.0,136.0,3936.0,174.0,2020-11-11 10:43:10.000000,2.2.5,14.0,Build and manage real-life data science projects with ease.,99.0,98.0,28.0,26,https://pypi.org/project/metaflow,2020-10-29 00:11:07.000000,1.0,38937.0,39744.0,https://anaconda.org/conda-forge/metaflow,2020-11-12 08:15:24.353000,9694.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n265,MechanicalSoup,MechanicalSoup/MechanicalSoup,MechanicalSoup,conda-forge/mechanicalsoup,,web-scraping,,https://github.com/MechanicalSoup/MechanicalSoup,https://github.com/MechanicalSoup/MechanicalSoup,MIT,2014-05-26 09:06:11.000000,2020-11-11 08:39:09.000000,2020-11-11 08:39:08.000000,309.0,21.0,119.0,3632.0,556.0,2019-08-27 16:49:38.000000,0.12.0,23.0,A Python library for automating interaction with websites.,390.0,,41.0,26,https://pypi.org/project/MechanicalSoup,2019-08-27 16:49:38.000000,390.0,32442.0,33963.0,https://anaconda.org/conda-forge/mechanicalsoup,2019-08-29 17:40:39.007000,73018.0,True,3,39.0,,,,,,,,,,,,,,,,,,,,,,,,,\n266,mlpack,mlpack/mlpack,mlpack,conda-forge/mlpack,,ml-frameworks,,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59.000000,2020-12-27 13:39:55.000000,2020-12-27 00:39:40.000000,1276.0,156.0,1173.0,3499.0,25637.0,2020-10-28 18:28:47.000000,3.4.2,40.0,mlpack: a scalable C++ machine learning library --.,,,260.0,26,https://pypi.org/project/mlpack,2020-10-28 18:28:47.000000,,355.0,2471.0,https://anaconda.org/conda-forge/mlpack,2020-10-29 09:35:18.918000,61368.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n267,sktime,alan-turing-institute/sktime,sktime,,,time-series-data,['sklearn'],https://github.com/alan-turing-institute/sktime,https://github.com/alan-turing-institute/sktime,BSD-3-Clause,2018-11-06 15:08:24.000000,2020-12-27 15:29:35.000000,2020-12-23 10:24:30.000000,387.0,104.0,193.0,3275.0,1512.0,2020-12-19 21:09:22.000000,0.5.0,10.0,A unified framework for machine learning with time series.,84.0,84.0,69.0,26,https://pypi.org/project/sktime,2020-12-19 21:09:22.000000,0.0,6405.0,6407.0,,,,True,1,41.0,,,,,,,,,,,,,,,,,,,,,,,,,\n268,Perspective,finos/perspective,perspective-python,,,data-viz,['jupyter'],https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000000,2020-12-25 17:21:21.000000,2020-12-22 09:33:36.000000,328.0,63.0,286.0,3065.0,4258.0,2020-10-15 13:18:28.000000,0.5.6,38.0,Streaming pivot visualization via WebAssembly.,165.0,161.0,59.0,26,https://pypi.org/project/perspective-python,2020-10-15 13:18:28.000000,4.0,557.0,1588.0,,,,True,3,,,,,,,,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2020-10-15 12:44:46.020000,,1031.0,,,,,,,,,,,,,\n269,yellowbrick,DistrictDataLabs/yellowbrick,yellowbrick,,,interpretability,['sklearn'],https://github.com/DistrictDataLabs/yellowbrick,https://github.com/DistrictDataLabs/yellowbrick,Apache-2.0,2016-05-18 14:12:17.000000,2020-12-23 20:12:47.000000,2020-11-01 16:41:28.000000,462.0,83.0,506.0,3044.0,829.0,2020-10-09 19:34:55.000000,1.2,19.0,Visual analysis and diagnostic tools to facilitate machine learning model selection.,62.0,,95.0,26,https://pypi.org/project/yellowbrick,2020-10-09 19:35:00.000000,62.0,63364.0,63364.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n270,textract,deanmalmgren/textract,textract,conda-forge/textract,,data-loading,,https://github.com/deanmalmgren/textract,https://github.com/deanmalmgren/textract,MIT,2014-07-03 20:36:59.000000,2020-12-21 14:04:27.000000,2019-11-14 08:37:39.000000,415.0,84.0,121.0,2921.0,556.0,2019-08-26 15:05:53.000000,1.6.3,15.0,extract text from any document. no muss. no fuss.,192.0,,30.0,26,https://pypi.org/project/textract,2019-08-26 15:05:53.000000,192.0,34687.0,34887.0,https://anaconda.org/conda-forge/textract,2017-03-20 21:15:33.254000,10240.0,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n271,Dagster,dagster-io/dagster,dagster,conda-forge/dagster,,data-pipelines,,https://github.com/dagster-io/dagster,https://github.com/dagster-io/dagster,Apache-2.0,2018-04-30 16:30:04.000000,2020-12-24 18:10:36.000000,2020-12-24 18:10:31.000000,248.0,596.0,1744.0,2450.0,6160.0,2020-12-11 04:26:56.000000,0.9.22.post0,224.0,\"A data orchestrator for machine learning, analytics, and ETL.\",133.0,129.0,107.0,26,https://pypi.org/project/dagster,2020-12-11 04:26:29.000000,4.0,26293.0,35526.0,https://anaconda.org/conda-forge/dagster,2020-12-04 14:42:14.711000,120030.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n272,gpustat,wookayin/gpustat,gpustat,conda-forge/gpustat,,gpu-utilities,,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43.000000,2020-11-24 19:59:04.772000,2020-05-19 04:45:47.000000,180.0,18.0,44.0,2151.0,165.0,2019-07-22 06:37:00.000000,0.6.0,10.0,A simple command-line utility for querying and monitoring GPU status.,585.0,527.0,10.0,26,https://pypi.org/project/gpustat,2019-07-22 06:17:48.000000,58.0,138151.0,138416.0,https://anaconda.org/conda-forge/gpustat,2020-11-24 19:59:04.772000,5578.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n273,Core ML Tools,apple/coremltools,coremltools,,,model-serialisation,,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000000,2020-12-21 03:46:41.000000,2020-12-17 20:40:42.000000,319.0,292.0,303.0,2037.0,849.0,2020-10-10 18:21:00.000000,4.0,27.0,\"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.\",569.0,436.0,107.0,26,https://pypi.org/project/coremltools,2020-10-10 18:16:12.000000,133.0,38803.0,38858.0,,,,True,2,2171.0,,,,,,,,,,,,,,,,,,,,,,,,,\n274,Grab,lorien/grab,grab,,,web-scraping,,https://github.com/lorien/grab,https://github.com/lorien/grab,MIT,2013-05-01 08:10:22.000000,2020-12-10 19:43:05.000000,2020-12-08 03:50:03.000000,244.0,26.0,189.0,2024.0,2179.0,2018-06-24 14:27:52.000000,0.6.41,120.0,Web Scraping Framework.,399.0,299.0,65.0,26,https://pypi.org/project/grab,2018-06-24 14:27:52.000000,100.0,1771.0,1771.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n275,Captum,pytorch/captum,captum,,,interpretability,['pytorch'],https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000000,2020-12-26 19:58:20.000000,2020-12-23 23:35:32.000000,191.0,44.0,124.0,2009.0,773.0,2020-11-13 23:52:08.000000,0.3.0,4.0,Model interpretability and understanding for PyTorch.,95.0,95.0,66.0,26,https://pypi.org/project/captum,2020-11-13 20:23:21.000000,,8238.0,8238.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n276,aubio,aubio/aubio,aubio,conda-forge/aubio,,audio,,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44.000000,2020-12-07 11:14:34.000000,2020-07-02 17:03:56.000000,291.0,102.0,171.0,1992.0,4109.0,2019-02-27 09:00:43.000000,0.4.9,10.0,a library for audio and music analysis.,214.0,198.0,24.0,26,https://pypi.org/project/aubio,2019-02-08 11:21:02.000000,16.0,1794.0,10139.0,https://anaconda.org/conda-forge/aubio,2020-10-13 12:09:18.538000,375529.0,False,3,,,,,,,,,,,,,,,,4.0,,,,,,,,,,\n277,BoTorch,pytorch/botorch,botorch,,,hyperopt,['pytorch'],https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000000,2020-12-26 18:10:29.000000,2020-12-23 17:40:43.000000,171.0,40.0,108.0,1789.0,790.0,2020-12-08 06:47:25.000000,0.3.3,16.0,Bayesian optimization in PyTorch.,70.0,70.0,49.0,26,https://pypi.org/project/botorch,2020-12-08 06:47:25.000000,0.0,29056.0,29056.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n278,PyFunctional,EntilZha/PyFunctional,pyfunctional,,,data-pipelines,,https://github.com/EntilZha/PyFunctional,https://github.com/EntilZha/PyFunctional,MIT,2015-02-05 17:17:51.000000,2020-12-16 20:36:15.000000,2020-12-16 20:36:13.000000,96.0,3.0,114.0,1751.0,514.0,2020-09-17 13:36:04.000000,1.4.2,13.0,Python library for creating data pipelines with chain functional programming.,245.0,245.0,22.0,26,https://pypi.org/project/pyfunctional,2020-09-17 13:36:04.000000,0.0,33070.0,33070.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n279,Foolbox,bethgelab/foolbox,foolbox,,,adversarial,,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48.000000,2020-12-20 18:06:33.000000,2020-12-20 18:05:23.000000,306.0,38.0,262.0,1748.0,1637.0,2020-09-26 06:49:13.000000,3.2.1,66.0,\"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.\",179.0,161.0,30.0,26,https://pypi.org/project/foolbox,2020-09-26 06:49:13.000000,18.0,1345.0,1345.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n280,facenet-pytorch,timesler/facenet-pytorch,facenet-pytorch,,,image,['pytorch'],https://github.com/timesler/facenet-pytorch,https://github.com/timesler/facenet-pytorch,MIT,2019-05-25 01:29:24.000000,2020-11-19 06:56:24.000000,2020-11-19 06:56:23.000000,366.0,22.0,84.0,1720.0,229.0,2020-11-19 06:49:36.000000,2.5.1,30.0,Pretrained Pytorch face detection (MTCNN) and recognition (InceptionResnet) models.,231.0,228.0,11.0,26,https://pypi.org/project/facenet-pytorch,2020-11-19 06:49:36.000000,3.0,4900.0,8739.0,,,,True,2,49915.0,,,,,,,,,,,,,,True,,,,,,,,,,,\n281,langid,saffsd/langid.py,langid,,,nlp,,https://github.com/saffsd/langid.py,https://github.com/saffsd/langid.py,BSD-3-Clause,2011-04-29 00:16:56.000000,2020-01-01 10:49:30.000000,2017-07-15 02:49:17.000000,265.0,25.0,45.0,1693.0,242.0,2016-04-05 22:34:15.000000,1.1.6,8.0,Stand-alone language identification system.,824.0,574.0,9.0,26,https://pypi.org/project/langid,2016-04-05 22:34:15.000000,250.0,500677.0,500677.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n282,efficientnet,qubvel/efficientnet,efficientnet,,,others,['keras'],https://github.com/qubvel/efficientnet,https://github.com/qubvel/efficientnet,Apache-2.0,2019-05-30 20:21:09.000000,2020-12-10 07:02:58.000000,2020-09-15 16:19:36.000000,363.0,49.0,53.0,1632.0,64.0,2020-09-15 16:26:00.000000,1.1.1,9.0,Implementation of EfficientNet model. Keras and TensorFlow Keras.,468.0,466.0,8.0,26,https://pypi.org/project/efficientnet,2020-09-15 16:26:00.000000,2.0,81650.0,88721.0,,,,True,2,134355.0,,,,,,,,,,,,,,True,,,,,,,,,,,\n283,tslearn,tslearn-team/tslearn,tslearn,conda-forge/tslearn,,time-series-data,['sklearn'],https://github.com/tslearn-team/tslearn,https://github.com/tslearn-team/tslearn,BSD-2-Clause,2017-05-04 13:08:13.000000,2020-12-16 09:59:00.000000,2020-12-07 10:09:00.000000,209.0,52.0,159.0,1419.0,1525.0,2020-06-18 15:54:49.000000,0.4.1,90.0,A machine learning toolkit dedicated to time-series data.,180.0,169.0,27.0,26,https://pypi.org/project/tslearn,2020-06-18 16:13:01.000000,11.0,50519.0,55866.0,https://anaconda.org/conda-forge/tslearn,2020-06-19 05:46:30.651000,176467.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n284,tesserocr,sirfz/tesserocr,tesserocr,conda-forge/tesserocr,,ocr,,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36.000000,2020-11-17 19:55:51.000000,2020-11-17 19:55:36.000000,185.0,60.0,141.0,1369.0,151.0,2020-03-17 17:45:44.000000,2.5.1,15.0,A Python wrapper for the tesseract-ocr API.,485.0,435.0,23.0,26,https://pypi.org/project/tesserocr,2020-03-17 17:45:44.000000,50.0,31449.0,33663.0,https://anaconda.org/conda-forge/tesserocr,2020-10-14 10:27:18.734000,31005.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n285,AWS Data Wrangler,awslabs/aws-data-wrangler,awswrangler,,,db-clients,['pandas'],https://github.com/awslabs/aws-data-wrangler,https://github.com/awslabs/aws-data-wrangler,Apache-2.0,2019-02-26 01:39:02.000000,2020-12-23 00:05:46.000000,2020-12-22 23:59:03.000000,211.0,32.0,243.0,1306.0,1172.0,2020-12-23 00:05:46.000000,2.2.0,104.0,Pandas on AWS.,,,53.0,26,https://pypi.org/project/awswrangler,2020-12-22 23:58:01.000000,,491981.0,493105.0,,,,True,3,19115.0,,,,,,,,,,,,,,,,,,,,,,,,,\n286,agate,wireservice/agate,agate,conda-forge/agate,,others,,https://github.com/wireservice/agate,https://github.com/wireservice/agate,MIT,2014-04-25 13:59:09.000000,2020-11-06 04:27:42.000000,2020-04-01 15:40:18.000000,132.0,54.0,588.0,1025.0,1355.0,2018-03-11 14:37:30.000000,1.6.1,24.0,A Python data analysis library that is optimized for humans instead of machines.,564.0,472.0,47.0,26,https://pypi.org/project/agate,2018-03-11 14:37:30.000000,92.0,164590.0,165870.0,https://anaconda.org/conda-forge/agate,2018-08-19 06:02:58.597000,58896.0,True,2,,,,,,,,,,,,,,,True,,,,,,,,,,,\n287,TF Model Optimization,tensorflow/model-optimization,tensorflow-model-optimization,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/model-optimization,https://github.com/tensorflow/model-optimization,Apache-2.0,2018-10-31 20:34:28.000000,2020-12-21 10:46:14.000000,2020-11-23 18:50:28.000000,207.0,70.0,87.0,938.0,459.0,2020-09-14 04:46:03.000000,0.5.0,20.0,\"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.\",495.0,492.0,41.0,26,https://pypi.org/project/tensorflow-model-optimization,2020-09-14 04:36:08.000000,3.0,58303.0,58303.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n288,petl,petl-developers/petl,petl,conda-forge/petl,http://petl.readthedocs.org,data-pipelines,,https://github.com/petl-developers/petl,https://github.com/petl-developers/petl,MIT,2011-08-19 09:51:03.000000,2020-12-24 15:13:37.000000,2020-12-24 15:13:37.000000,146.0,66.0,342.0,805.0,1104.0,2020-10-06 00:03:28.000000,1.6.8,74.0,Python Extract Transform and Load Tables of Data.,414.0,300.0,43.0,26,https://pypi.org/project/petl,2020-10-06 00:03:28.000000,114.0,14553.0,14922.0,https://anaconda.org/conda-forge/petl,2020-09-25 13:06:23.326000,18853.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n289,cx-Oracle,oracle/python-cx_Oracle,cx-Oracle,,,db-clients,,https://github.com/oracle/python-cx_Oracle,https://github.com/oracle/python-cx_Oracle,BSD-3-Clause,2017-03-07 04:03:36.000000,2020-12-21 22:01:10.000000,2020-12-21 22:01:01.000000,243.0,32.0,458.0,689.0,1076.0,2020-12-08 21:31:48.000000,8.1.0,32.0,Python interface to Oracle Database conforming to the Python DB API 2.0 specification.,144.0,,16.0,26,https://pypi.org/project/cx-Oracle,2020-12-08 21:31:48.000000,144.0,1005296.0,1005296.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n290,dask-ml,dask/dask-ml,dask-ml,conda-forge/dask-ml,,distributed-ml,,https://github.com/dask/dask-ml,https://github.com/dask/dask-ml,BSD-3-Clause,2017-06-15 15:56:06.000000,2020-12-26 22:53:24.000000,2020-11-25 22:14:17.000000,180.0,173.0,200.0,678.0,749.0,2020-09-24 19:34:38.000000,1.7.0,26.0,Scalable Machine Learning with Dask.,363.0,321.0,60.0,26,https://pypi.org/project/dask-ml,2020-09-24 19:34:38.000000,42.0,45220.0,50106.0,https://anaconda.org/conda-forge/dask-ml,2020-09-24 21:21:37.412000,185671.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n291,TensorFlow Text,tensorflow/text,tensorflow-text,,,nlp,['tensorflow'],https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000000,2020-12-23 23:30:58.000000,2020-12-22 19:55:51.000000,84.0,41.0,84.0,673.0,316.0,2020-12-23 03:10:06.000000,2.4.2,31.0,Making text a first-class citizen in TensorFlow.,387.0,383.0,30.0,26,https://pypi.org/project/tensorflow-text,2020-12-22 23:55:15.000000,4.0,145238.0,145238.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n292,empyrical,quantopian/empyrical,empyrical,conda-forge/empyrical,,financial-data,,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52.000000,2020-10-14 13:28:13.625000,2020-10-14 13:22:39.000000,210.0,27.0,26.0,668.0,167.0,2020-10-13 21:28:25.000000,0.5.5,20.0,Common financial risk and performance metrics. Used by zipline and pyfolio.,707.0,485.0,22.0,26,https://pypi.org/project/empyrical,2020-10-13 17:31:37.000000,222.0,17324.0,17583.0,https://anaconda.org/conda-forge/empyrical,2020-10-14 13:28:13.625000,8809.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n293,PyVista,pyvista/pyvista,pyvista,conda-forge/pyvista,,data-viz,['jupyter'],https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000000,2020-12-26 18:25:39.000000,2020-12-22 01:11:48.000000,132.0,114.0,261.0,627.0,2044.0,2020-12-10 16:30:09.000000,0.27.4,32.0,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,248.0,222.0,47.0,26,https://pypi.org/project/pyvista,2020-12-10 16:30:09.000000,26.0,8883.0,11578.0,https://anaconda.org/conda-forge/pyvista,2020-12-10 19:09:38.280000,51217.0,True,3,30.0,,,,,,,,,,,,,,,,,,,,,,,,,\n294,zarr,zarr-developers/zarr-python,zarr,conda-forge/zarr,,data-containers,,https://github.com/zarr-developers/zarr-python,https://github.com/zarr-developers/zarr-python,MIT,2015-12-15 14:49:40.000000,2020-12-22 02:05:54.000000,2020-12-21 20:17:11.000000,102.0,176.0,228.0,610.0,1358.0,2020-10-06 19:59:05.000000,2.5.0,31.0,\"An implementation of chunked, compressed, N-dimensional arrays for Python.\",570.0,498.0,35.0,26,https://pypi.org/project/zarr,2020-12-02 18:33:13.000000,72.0,20483.0,29668.0,https://anaconda.org/conda-forge/zarr,2020-12-03 02:31:13.848000,505175.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n295,Mesh,tensorflow/mesh,mesh-tensorflow,,,distributed-ml,['tensorflow'],https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34.000000,2020-12-21 22:47:58.000000,2020-12-21 22:47:48.000000,113.0,72.0,12.0,602.0,568.0,2020-12-17 23:10:07.000000,0.1.18,24.0,Mesh TensorFlow: Model Parallelism Made Easier.,499.0,471.0,38.0,26,https://pypi.org/project/mesh-tensorflow,2020-12-17 23:10:07.000000,28.0,77766.0,77766.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n296,SMAC3,automl/SMAC3,smac,,,hyperopt,,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-3-Clause,2016-08-17 10:58:05.000000,2020-12-26 22:43:48.000000,2020-10-29 10:14:55.000000,153.0,76.0,250.0,544.0,1888.0,2020-10-29 10:57:56.000000,0.13.1,29.0,Sequential Model-based Algorithm Configuration.,58.0,,30.0,26,https://pypi.org/project/smac,2020-10-29 10:57:56.000000,58.0,10066.0,10066.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n297,mpi4py,mpi4py/mpi4py,mpi4py,conda-forge/mpi4py,,distributed-ml,,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-3-Clause,2013-09-05 14:44:25.000000,2020-12-22 10:29:02.000000,2020-12-22 10:28:24.000000,60.0,1.0,3.0,366.0,2173.0,2020-07-27 06:40:19.000000,3.0.3,13.0,Python bindings for MPI.,700.0,,13.0,26,https://pypi.org/project/mpi4py,2019-11-04 13:05:10.000000,700.0,164850.0,174469.0,https://anaconda.org/conda-forge/mpi4py,2020-11-21 20:04:30.722000,488580.0,True,2,197.0,,,,,,,,,,,,,,,,,,,,,,,,,\n298,hvPlot,holoviz/hvplot,hvplot,conda-forge/hvplot,,data-viz,,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000000,2020-12-15 10:41:07.000000,2020-11-18 20:38:19.000000,49.0,97.0,214.0,332.0,360.0,2020-12-16 22:59:26.000000,0.7.0,9.0,\"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.\",422.0,407.0,22.0,26,https://pypi.org/project/hvplot,2020-06-02 00:27:18.000000,15.0,68146.0,70083.0,https://anaconda.org/conda-forge/hvplot,2020-06-02 12:42:36.071000,54263.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n299,cloudant,cloudant/python-cloudant,cloudant,conda-forge/cloudant,,db-clients,,https://github.com/cloudant/python-cloudant,https://github.com/cloudant/python-cloudant,Apache-2.0,2015-08-28 16:22:49.000000,2020-12-18 03:57:08.000000,2020-11-25 17:20:12.000000,45.0,39.0,240.0,157.0,802.0,2020-08-18 12:14:54.000000,2.14.0,46.0,A Python library for Cloudant and CouchDB.,1782.0,1248.0,27.0,26,https://pypi.org/project/cloudant,2020-08-18 11:22:22.000000,534.0,41572.0,42957.0,https://anaconda.org/conda-forge/cloudant,2019-05-18 03:07:25.357000,70640.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n300,MMDetection,open-mmlab/mmdetection,,,,image,['pytorch'],https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000000,2020-12-27 12:04:54.000000,2020-12-24 05:59:26.000000,4435.0,379.0,2827.0,13008.0,1367.0,2020-11-30 15:29:24.000000,2.7.0,7.0,OpenMMLab Detection Toolbox and Benchmark.,18.0,18.0,182.0,25,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n301,NuPIC,numenta/nupic,nupic,,,ml-frameworks,,https://github.com/numenta/nupic,https://github.com/numenta/nupic,AGPL-3.0,2013-04-05 23:14:27.000000,2020-12-11 19:56:36.000000,2019-10-23 20:45:07.000000,1585.0,456.0,1337.0,6190.0,6625.0,2018-06-01 15:37:54.000000,1.0.5,53.0,\"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..\",126.0,88.0,119.0,25,https://pypi.org/project/nupic,2018-06-01 15:37:54.000000,38.0,1611.0,1611.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n302,PyTorch Image Models,rwightman/pytorch-image-models,,,,image,['pytorch'],https://github.com/rwightman/pytorch-image-models,https://github.com/rwightman/pytorch-image-models,Apache-2.0,2019-02-02 05:51:12.000000,2020-12-24 20:04:24.000000,2020-12-19 05:28:47.000000,856.0,22.0,200.0,6104.0,636.0,2020-10-26 23:59:21.000000,0.1-itjx,12.0,\"PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2,..\",225.0,225.0,25.0,25,,,,,7991.0,,,,True,3,151833.0,,,,,,,,,,,,,,,,,,,,,,,,,\n303,Trax,google/trax,trax,,,others,,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000000,2020-12-23 20:04:36.000000,2020-12-23 03:16:23.000000,507.0,53.0,98.0,5447.0,1224.0,2020-12-18 17:22:13.000000,1.3.7,20.0,Trax Deep Learning with Clear Code and Speed.,16.0,16.0,55.0,25,https://pypi.org/project/trax,2020-12-18 17:22:13.000000,,3178.0,3178.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n304,auto-sklearn,automl/auto-sklearn,auto-sklearn,,,hyperopt,['sklearn'],https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10.000000,2020-12-22 15:24:29.000000,2020-12-22 15:23:48.000000,965.0,119.0,551.0,5085.0,2399.0,2020-12-22 14:59:05.000000,0.12.1rc1,25.0,Automated Machine Learning with scikit-learn.,140.0,125.0,63.0,25,https://pypi.org/project/auto-sklearn,2020-12-22 15:24:29.000000,15.0,6972.0,6972.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n305,CleverHans,cleverhans-lab/cleverhans,cleverhans,,,adversarial,['tensorflow'],https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04.000000,2020-12-09 17:37:00.000000,2020-07-09 02:26:15.000000,1209.0,75.0,373.0,4866.0,3001.0,2018-11-27 17:36:15.000000,3.0.1,6.0,\"An adversarial example library for constructing attacks, building defenses, and benchmarking both.\",182.0,174.0,108.0,25,https://pypi.org/project/cleverhans,2018-11-27 17:36:15.000000,8.0,543.0,543.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n306,Milvus,milvus-io/milvus,pymilvus,,,nn-search,,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000000,2020-12-26 09:36:52.000000,2020-12-26 09:36:51.000000,739.0,227.0,1817.0,4814.0,6153.0,2020-12-03 09:00:58.000000,0.10.4,42.0,\"An open source embedding vector similarity search engine powered by Faiss, NMSLIB and Annoy.\",6.0,,140.0,25,https://pypi.org/project/pymilvus,2020-10-16 13:11:09.000000,6.0,5521.0,19411.0,,,,True,2,,,,milvusdb/milvus,https://hub.docker.com/r/milvusdb/milvus,2020-12-02 07:53:35.200908,8.0,208359.0,,,,,,,True,,,,,,,,,,,\n307,Augmentor,mdbloice/Augmentor,Augmentor,,,image,,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55.000000,2020-11-10 05:20:01.000000,2020-03-09 11:32:02.000000,777.0,115.0,67.0,4262.0,511.0,2020-01-17 11:59:53.000000,0.2.8,20.0,Image augmentation library in Python for machine learning.,312.0,270.0,22.0,25,https://pypi.org/project/Augmentor,2020-01-17 11:59:53.000000,42.0,2594.0,2594.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n308,BigDL,intel-analytics/BigDL,bigdl,,,distributed-ml,,https://github.com/intel-analytics/BigDL,https://github.com/intel-analytics/BigDL,Apache-2.0,2016-08-29 07:59:50.000000,2020-12-23 08:33:46.000000,2020-12-23 08:33:44.000000,899.0,180.0,726.0,3681.0,2657.0,2020-12-06 03:04:34.000000,0.12.1,36.0,BigDL: Distributed Deep Learning Framework for Apache Spark.,22.0,19.0,71.0,25,https://pypi.org/project/bigdl,2020-12-06 03:04:34.000000,3.0,1249.0,1249.0,,,,True,2,,,,,,,,,,,,,,,,,,,,com.intel.analytics.bigdl:bigdl-SPARK_2.4,https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4,2020-12-05 03:54:47.000000,0.0,,,\n309,pyAudioAnalysis,tyiannak/pyAudioAnalysis,pyAudioAnalysis,,,audio,,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13.000000,2020-12-18 08:17:50.000000,2020-12-18 08:17:50.000000,922.0,158.0,103.0,3623.0,673.0,2020-09-29 21:30:02.000000,0.3.6,15.0,\"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.\",183.0,172.0,23.0,25,https://pypi.org/project/pyAudioAnalysis,2020-09-29 21:30:02.000000,11.0,7250.0,7250.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n310,pyfolio,quantopian/pyfolio,pyfolio,conda-forge/pyfolio,,financial-data,,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39.000000,2020-07-29 16:06:37.000000,2020-07-15 13:46:58.000000,1004.0,119.0,263.0,3327.0,1184.0,2019-04-15 14:54:03.000000,0.9.1,21.0,Portfolio and risk analytics in Python.,210.0,183.0,55.0,25,https://pypi.org/project/pyfolio,2019-04-15 14:54:03.000000,27.0,5525.0,5682.0,https://anaconda.org/conda-forge/pyfolio,2020-05-16 14:11:57.267000,5344.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n311,espnet,espnet/espnet,espnet,,,audio,,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000000,2020-12-27 15:37:45.000000,2020-12-27 15:19:55.000000,963.0,115.0,1012.0,3240.0,10248.0,2020-12-01 12:18:22.000000,0.9.6,31.0,End-to-End Speech Processing Toolkit.,3.0,3.0,134.0,25,https://pypi.org/project/espnet,2020-12-01 12:18:22.000000,,1247.0,1248.0,,,,True,3,59.0,,,,,,,,,,,,,,True,,,,,,,,,,,\n312,ftfy,LuminosoInsight/python-ftfy,ftfy,conda-forge/ftfy,,nlp,,https://github.com/LuminosoInsight/python-ftfy,https://github.com/LuminosoInsight/python-ftfy,MIT,2012-08-24 16:14:59.000000,2020-08-21 18:13:12.000000,2020-07-17 21:21:57.000000,98.0,14.0,92.0,2863.0,510.0,2020-02-18 16:42:00.000000,5.6.1,41.0,\"Fixes mojibake and other glitches in Unicode text, after the fact.\",3291.0,2531.0,17.0,25,https://pypi.org/project/ftfy,2020-07-20 21:50:51.000000,760.0,254395.0,256516.0,https://anaconda.org/conda-forge/ftfy,2019-02-03 00:23:45.610000,93340.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n313,AutoGluon,awslabs/autogluon,autogluon,,,hyperopt,['mxnet'],https://github.com/awslabs/autogluon,https://github.com/awslabs/autogluon,Apache-2.0,2019-07-29 18:51:24.000000,2020-12-27 01:43:03.000000,2020-12-25 20:27:52.000000,369.0,148.0,214.0,2845.0,447.0,2020-12-08 19:01:22.000000,0.0.15,277.0,\"AutoGluon: AutoML for Text, Image, and Tabular Data.\",42.0,42.0,50.0,25,https://pypi.org/project/autogluon,2020-12-26 09:20:53.000000,0.0,12177.0,12177.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n314,Chartify,spotify/chartify,chartify,conda-forge/chartify,,data-viz,,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05.000000,2020-12-25 03:48:39.000000,2020-11-02 22:11:04.000000,244.0,40.0,30.0,2796.0,186.0,2020-11-02 22:14:08.000000,3.0.3,16.0,Python library that makes it easy for data scientists to create charts.,57.0,52.0,19.0,25,https://pypi.org/project/chartify,2020-11-02 22:14:08.000000,5.0,8460.0,8921.0,https://anaconda.org/conda-forge/chartify,2020-11-07 19:52:50.628000,11546.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n315,nevergrad,facebookresearch/nevergrad,nevergrad,conda-forge/nevergrad,,hyperopt,,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000000,2020-12-27 14:26:50.000000,2020-12-25 21:10:49.000000,265.0,68.0,114.0,2765.0,732.0,2020-08-04 12:13:07.000000,0.4.2,25.0,A Python toolbox for performing gradient-free optimization.,121.0,107.0,40.0,25,https://pypi.org/project/nevergrad,2020-12-10 15:37:29.000000,14.0,7132.0,7808.0,https://anaconda.org/conda-forge/nevergrad,2020-12-14 18:21:29.267000,5410.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n316,Stable Baselines,hill-a/stable-baselines,stable-baselines,,,reinforcement-learning,,https://github.com/hill-a/stable-baselines,https://github.com/hill-a/stable-baselines,MIT,2018-07-02 14:28:59.000000,2020-12-23 16:27:10.000000,2020-12-23 16:27:08.000000,545.0,116.0,708.0,2728.0,835.0,2020-08-05 19:45:11.000000,2.10.1,30.0,\"A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.\",25.0,,110.0,25,https://pypi.org/project/stable-baselines,2020-08-05 19:42:14.000000,25.0,8882.0,8882.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n317,Pony,ponyorm/pony,pony,conda-forge/pony,,db-clients,,https://github.com/ponyorm/pony,https://github.com/ponyorm/pony,Apache-2.0,2013-02-08 04:56:00.000000,2020-12-24 12:38:50.000000,2020-11-23 17:42:03.000000,188.0,235.0,299.0,2405.0,,2020-11-23 19:13:28.000000,0.7.14,44.0,Pony Object Relational Mapper.,2159.0,1621.0,20.0,25,https://pypi.org/project/pony,2020-11-23 18:56:34.000000,538.0,21211.0,22124.0,https://anaconda.org/conda-forge/pony,2020-11-23 21:18:14.049000,42938.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n318,Neural Network Libraries,sony/nnabla,nnabla,,,ml-frameworks,,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10.000000,2020-12-24 02:44:34.000000,2020-12-23 08:27:56.000000,303.0,35.0,18.0,2389.0,2225.0,2020-12-24 02:44:34.000000,1.15.0,51.0,Neural Network Libraries.,34.0,,55.0,25,https://pypi.org/project/nnabla,2020-12-24 02:44:34.000000,34.0,3861.0,3873.0,,,,True,3,506.0,,,,,,,,,,,,,,,,,,,,,,,,,\n319,TRAINS,allegroai/trains,trains,,,ml-experiments,,https://github.com/allegroai/clearml,https://github.com/allegroai/clearml,Apache-2.0,2019-06-10 08:18:32.000000,2020-12-25 02:34:26.000000,2020-12-25 02:34:26.000000,239.0,81.0,149.0,2041.0,936.0,2020-12-25 00:38:35.000000,0.17.2,121.0,\"ClearML - Auto-Magical Suite of tools to streamline your ML workflow. Experiment Manager, ML-Ops and Data-Management.\",3.0,3.0,24.0,25,https://pypi.org/project/trains,2020-12-10 10:59:49.000000,0.0,156495.0,158163.0,,,,True,3,246.0,,,allegroai/trains,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,29800.0,,,,,,,,-2.0,,,,,,,,allegroai/clearml,,\n320,fastNLP,fastnlp/fastNLP,fastnlp,,,nlp,,https://github.com/fastnlp/fastNLP,https://github.com/fastnlp/fastNLP,Apache-2.0,2018-03-07 13:30:20.000000,2020-12-16 10:04:23.000000,2020-11-23 10:50:37.000000,343.0,14.0,127.0,1937.0,1706.0,2020-11-06 15:31:29.000000,0.6.0,10.0,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,22.0,21.0,48.0,25,https://pypi.org/project/fastnlp,2019-02-04 02:35:37.000000,1.0,1276.0,1278.0,,,,True,2,54.0,,,,,,,,,,,,,,True,-2.0,,,,,,,,,,\n321,TextDistance,life4/textdistance,textdistance,conda-forge/textdistance,,nlp,,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10.000000,2020-11-10 18:38:06.222000,2020-04-13 10:34:26.000000,156.0,9.0,,1845.0,289.0,2020-04-13 10:17:59.000000,.4.2.0,20.0,\"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..\",301.0,273.0,7.0,25,https://pypi.org/project/textdistance,2020-04-13 09:59:27.000000,28.0,102924.0,103363.0,https://anaconda.org/conda-forge/textdistance,2020-11-10 18:38:06.222000,13573.0,True,2,96.0,,,,,,,,,,,,,,,,,,,,,,,,,\n322,spark-nlp,JohnSnowLabs/spark-nlp,spark-nlp,,,nlp,['spark'],https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000000,2020-12-27 04:25:48.000000,2020-12-21 16:56:44.000000,387.0,80.0,312.0,1774.0,4744.0,2020-12-15 17:22:19.000000,2.6.5,70.0,State of the Art Natural Language Processing.,0.0,,71.0,25,https://pypi.org/project/spark-nlp,2020-12-15 17:14:39.000000,0.0,357072.0,357072.0,,,,True,2,,,,,,,,,,,,,,,True,,,,,,,,,,,\n323,Jina,jina-ai/jina,jina,,,nlp,,https://github.com/jina-ai/jina,https://github.com/jina-ai/jina,Apache-2.0,2020-02-13 17:04:44.000000,2020-12-27 13:32:35.000000,2020-12-26 23:20:38.000000,298.0,41.0,499.0,1761.0,4264.0,2020-12-21 22:43:22.000000,0.8.13,101.0,An easier way to build neural search in the cloud.,41.0,41.0,74.0,25,https://pypi.org/project/jina,2020-12-23 19:12:55.000000,,1261.0,7563.0,,,,True,2,,,,jinaai/jina,https://hub.docker.com/r/jinaai/jina,2020-12-27 06:35:32.007321,,63022.0,,,,,,,,,,,,,,,,,,\n324,polyglot,aboSamoor/polyglot,polyglot,,,nlp,,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,GPL-3.0,2014-06-30 02:07:45.000000,2020-10-27 10:55:53.000000,2020-09-22 22:35:28.000000,292.0,132.0,62.0,1735.0,271.0,2016-07-03 20:05:42.000000,16.7.4,8.0,Multilingual text (NLP) processing toolkit.,477.0,412.0,26.0,25,https://pypi.org/project/polyglot,2016-07-03 20:05:42.000000,65.0,42002.0,42002.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n325,StellarGraph,stellargraph/stellargraph,stellargraph,,,graph,['keras'],https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51.000000,2020-12-20 18:59:43.000000,2020-07-21 04:03:09.000000,245.0,211.0,693.0,1691.0,2515.0,2020-06-30 05:15:21.000000,1.2.1,25.0,StellarGraph - Machine Learning on Graphs.,42.0,40.0,28.0,25,https://pypi.org/project/stellargraph,2020-06-25 09:38:56.000000,2.0,8449.0,8449.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n326,category_encoders,scikit-learn-contrib/category_encoders,category_encoders,conda-forge/category_encoders,,others,['sklearn'],https://github.com/scikit-learn-contrib/category_encoders,https://github.com/scikit-learn-contrib/category_encoders,BSD-3-Clause,2015-11-29 19:32:37.000000,2020-11-10 15:17:22.000000,2020-07-31 10:43:44.000000,292.0,62.0,133.0,1538.0,671.0,2020-04-29 02:09:51.000000,2.2.2,19.0,A library of sklearn compatible categorical variable encoders.,23.0,,34.0,25,https://pypi.org/project/category_encoders,2018-10-14 14:15:54.000000,23.0,355636.0,357345.0,https://anaconda.org/conda-forge/category_encoders,2020-04-29 22:37:35.948000,90616.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n327,Pythran,serge-sans-paille/pythran,pythran,conda-forge/pythran,,others,,https://github.com/serge-sans-paille/pythran,https://github.com/serge-sans-paille/pythran,BSD-3-Clause,2012-05-29 08:02:14.000000,2020-12-26 11:50:04.000000,2020-12-15 13:53:37.000000,134.0,99.0,534.0,1487.0,3295.0,2020-12-09 20:06:55.000000,0.9.8,44.0,Ahead of Time compiler for numeric kernels.,59.0,46.0,47.0,25,https://pypi.org/project/pythran,2020-12-11 23:02:35.000000,13.0,1114.0,4972.0,https://anaconda.org/conda-forge/pythran,2020-12-15 13:25:04.645000,119599.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,pythran,python-pythran\n328,swifter,jmcarpenter2/swifter,swifter,conda-forge/swifter,,data-containers,['pandas'],https://github.com/jmcarpenter2/swifter,https://github.com/jmcarpenter2/swifter,MIT,2018-04-07 21:37:19.000000,2020-12-19 19:11:45.000000,2020-12-19 19:11:44.000000,68.0,13.0,76.0,1483.0,423.0,2020-10-11 22:42:57.000000,1.0.7,71.0,A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner.,284.0,268.0,14.0,25,https://pypi.org/project/swifter,2020-10-11 22:42:57.000000,16.0,53745.0,57374.0,https://anaconda.org/conda-forge/swifter,2020-09-20 15:08:56.885000,72597.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n329,streamparse,Parsely/streamparse,streamparse,,,data-pipelines,,https://github.com/Parsely/streamparse,https://github.com/Parsely/streamparse,Apache-2.0,2014-05-02 20:33:50.000000,2020-12-18 18:44:04.000000,2020-12-18 18:43:59.000000,219.0,69.0,263.0,1420.0,1059.0,2020-10-07 19:53:15.000000,4.0.0,47.0,\"Run Python in Apache Storm topologies. Pythonic API, CLI tooling, and a topology DSL.\",72.0,46.0,40.0,25,https://pypi.org/project/streamparse,2020-10-07 19:45:19.000000,26.0,1699.0,1699.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n330,chainercv,chainer/chainercv,chainercv,,,image,,https://github.com/chainer/chainercv,https://github.com/chainer/chainercv,MIT,2017-02-13 04:15:10.000000,2020-02-03 01:27:17.000000,2020-01-07 11:48:31.000000,318.0,54.0,168.0,1410.0,4930.0,2019-06-12 11:55:02.000000,0.13.1,23.0,ChainerCV: a Library for Deep Learning in Computer Vision.,234.0,210.0,39.0,25,https://pypi.org/project/chainercv,2019-05-31 08:53:39.000000,24.0,3846.0,3846.0,,,,True,3,,,,,,,,,,,,,,,True,,,,,,,,,,,\n331,jellyfish,jamesturk/jellyfish,jellyfish,conda-forge/jellyfish,,nlp,,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,BSD-2-Clause,2010-07-09 20:41:11.000000,2020-12-08 01:19:02.000000,2020-12-08 01:18:57.000000,118.0,9.0,86.0,1379.0,,2020-05-21 20:37:01.000000,0.8.2,27.0,a python library for doing approximate and phonetic matching of strings.,2598.0,1952.0,19.0,25,https://pypi.org/project/jellyfish,2020-05-21 20:37:01.000000,646.0,794096.0,796159.0,https://anaconda.org/conda-forge/jellyfish,2020-10-10 13:37:43.217000,105246.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n332,Ax,facebook/Ax,ax-platform,,,hyperopt,['pytorch'],https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000000,2020-12-27 06:10:37.000000,2020-12-24 04:39:58.000000,137.0,32.0,169.0,1350.0,888.0,2020-12-08 19:07:48.000000,0.1.19,20.0,Adaptive Experimentation Platform.,118.0,114.0,89.0,25,https://pypi.org/project/ax-platform,2020-12-08 19:07:48.000000,4.0,18023.0,18023.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n333,TFX,tensorflow/tfx,tfx,,,data-pipelines,['tensorflow'],https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000000,2020-12-24 06:44:29.000000,2020-12-24 02:39:39.000000,365.0,200.0,300.0,1267.0,2977.0,2020-11-19 21:33:15.000000,0.25.0,37.0,TFX is an end-to-end platform for deploying production ML pipelines.,2.0,,96.0,25,https://pypi.org/project/tfx,2020-11-19 21:33:15.000000,2.0,64312.0,64312.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n334,haystack,deepset-ai/haystack,haystack,,,nlp,,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000000,2020-12-27 12:36:11.000000,2020-12-27 12:36:09.000000,209.0,53.0,337.0,1200.0,474.0,2020-12-17 06:53:05.000000,0.6.0,34.0,Transformers at scale for question answering & neural search. Using NLP via a modular Retriever-Reader-Pipeline...,97.0,23.0,28.0,25,https://pypi.org/project/haystack,2017-07-03 04:44:52.000000,74.0,4633.0,4633.0,,,,True,2,,,,,,,,,,,,,,,True,,,,,,,,,,,\n335,ViZDoom,mwydmuch/ViZDoom,vizdoom,,,reinforcement-learning,,https://github.com/mwydmuch/ViZDoom,https://github.com/mwydmuch/ViZDoom,MIT,2015-06-26 18:38:23.000000,2020-12-16 10:27:24.000000,2020-12-16 10:26:56.000000,276.0,88.0,326.0,1144.0,1459.0,2020-10-29 15:54:47.000000,1.1.8,19.0,Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information.,108.0,96.0,43.0,25,https://pypi.org/project/vizdoom,2020-10-29 15:56:20.000000,12.0,394.0,573.0,,,,True,2,10245.0,,,,,,,,,,,,,,,,,,,,,,,,,\n336,ArcGIS API,Esri/arcgis-python-api,arcgis,,,geospatial-data,,https://github.com/Esri/arcgis-python-api,https://github.com/Esri/arcgis-python-api,Apache-2.0,2016-03-16 01:09:14.000000,2020-12-23 17:01:44.000000,2020-12-18 15:18:27.000000,676.0,125.0,185.0,926.0,2857.0,2020-12-15 21:49:37.000000,1.8.3,25.0,Documentation and samples for ArcGIS API for Python.,10.0,,60.0,25,https://pypi.org/project/arcgis,2020-11-30 16:13:47.000000,10.0,13795.0,13858.0,,,,True,3,,,,esridocker/arcgis-api-python-notebook,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,2020-03-06 00:53:45.164342,29.0,3597.0,,,,,,,,,,,,,,,,,,\n337,kmodes,nicodv/kmodes,kmodes,,,others,,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40.000000,2020-11-04 05:52:59.000000,2020-11-04 05:52:58.000000,335.0,19.0,106.0,787.0,448.0,2020-02-25 21:38:29.000000,0.10.2,12.0,\"Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data.\",400.0,387.0,16.0,25,https://pypi.org/project/kmodes,2020-02-25 21:30:28.000000,13.0,62235.0,62235.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n338,Satpy,pytroll/satpy,satpy,conda-forge/satpy,,geospatial-data,,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000000,2020-12-23 21:50:32.000000,2020-12-23 21:50:31.000000,190.0,303.0,282.0,655.0,8106.0,2020-11-16 09:48:15.000000,0.24.0,61.0,Python package for earth-observing satellite data processing.,43.0,37.0,102.0,25,https://pypi.org/project/satpy,2020-11-16 09:48:15.000000,6.0,553.0,2312.0,https://anaconda.org/conda-forge/satpy,2020-11-16 12:26:04.352000,51035.0,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n339,CLTK,cltk/cltk,cltk,,,nlp,,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000000,2020-12-18 18:15:03.000000,2020-12-18 18:15:02.000000,295.0,126.0,357.0,626.0,2771.0,2020-06-22 06:03:33.000000,0.1.121,159.0,The Classical Language Toolkit.,214.0,146.0,107.0,25,https://pypi.org/project/cltk,2020-12-03 17:29:28.000000,68.0,1292.0,1292.0,,,,True,2,22.0,,,,,,,,,,,,,,,,,,,,,,,,,\n340,micawber,coleifer/micawber,micawber,,,web-scraping,,https://github.com/coleifer/micawber,https://github.com/coleifer/micawber,MIT,2012-03-27 21:42:46.000000,2020-12-18 12:01:44.000000,2020-12-18 12:01:43.000000,78.0,,52.0,512.0,192.0,2020-12-17 15:44:56.000000,0.5.2,22.0,a small library for extracting rich content from urls.,856.0,484.0,26.0,25,https://pypi.org/project/micawber,2020-12-17 15:44:56.000000,372.0,4007.0,4007.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n341,TensorFlow I/O,tensorflow/io,tensorflow-io,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05.000000,2020-12-27 06:04:28.000000,2020-12-26 21:09:49.000000,143.0,118.0,259.0,395.0,1321.0,2020-12-15 00:45:37.000000,0.17.0,21.0,\"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.\",85.0,85.0,70.0,25,https://pypi.org/project/tensorflow-io,2020-12-15 00:42:35.000000,0.0,36171.0,36171.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n342,python-soundfile,bastibe/python-soundfile,soundfile,,,audio,,https://github.com/bastibe/python-soundfile,https://github.com/bastibe/python-soundfile,BSD-3-Clause,2013-08-27 13:36:52.000000,2020-12-02 15:07:22.000000,2020-12-01 18:42:47.000000,40.0,56.0,83.0,347.0,493.0,2019-12-04 10:03:39.000000,0.10.3post1,7.0,\"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.\",5811.0,5071.0,19.0,25,https://pypi.org/project/soundfile,2018-04-19 07:13:19.000000,740.0,341183.0,341207.0,,,,True,3,1975.0,,,,,,,,,,,,,,True,,,,,,,,,,,\n343,Altair,ellisonbg/altair,altair,conda-forge/altair,,data-viz,,https://github.com/ellisonbg/altair,https://github.com/ellisonbg/altair,BSD-3-Clause,2016-07-11 22:34:25.761000,2020-04-01 16:49:36.519000,2018-05-18 19:10:50.000000,19.0,,,243.0,1802.0,2020-04-01 13:23:10.000000,4.1.0,26.0,Declarative statistical visualization library for Python.,370.0,,50.0,25,https://pypi.org/project/altair,2020-04-01 13:23:10.000000,370.0,659513.0,670233.0,https://anaconda.org/conda-forge/altair,2020-04-01 16:49:36.519000,568178.0,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n344,ml-metadata,google/ml-metadata,ml-metadata,,,ml-experiments,,https://github.com/google/ml-metadata,https://github.com/google/ml-metadata,Apache-2.0,2019-01-15 21:02:09.000000,2020-12-16 21:22:19.000000,2020-12-16 21:22:13.000000,56.0,16.0,36.0,213.0,449.0,2020-12-15 18:49:42.000000,0.26.0,21.0,For recording and retrieving metadata associated with ML developer and data scientist workflows.,60.0,60.0,11.0,25,https://pypi.org/project/ml-metadata,2020-12-15 18:49:42.000000,0.0,643090.0,643145.0,,,,True,3,1171.0,,,,,,,,,,,,,,True,,,,,,,,,,,\n345,pysc2,deepmind/pysc2,pysc2,,,others,,https://github.com/deepmind/pysc2,https://github.com/deepmind/pysc2,Apache-2.0,2017-07-25 18:16:57.000000,2020-07-29 16:22:31.000000,2019-09-27 15:23:22.000000,1058.0,47.0,202.0,7133.0,513.0,2019-09-27 15:48:01.000000,3.0.0,7.0,StarCraft II Learning Environment.,233.0,213.0,34.0,24,https://pypi.org/project/pysc2,2019-09-27 15:48:01.000000,20.0,719.0,1351.0,,,,False,2,25286.0,,,,,,,,,,,,,,True,,,,,,,,,,,\n346,ParlAI,facebookresearch/ParlAI,parlai,,,nlp,['pytorch'],https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44.000000,2020-12-27 08:10:23.000000,2020-12-27 03:21:09.000000,1373.0,111.0,798.0,6854.0,3557.0,2020-12-16 23:15:51.000000,0.10.0,12.0,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,5.0,5.0,135.0,24,https://pypi.org/project/parlai,2020-12-16 23:15:51.000000,,778.0,778.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n347,Facets Overview,pair-code/facets,facets-overview,,,data-viz,['jupyter'],https://github.com/PAIR-code/facets,https://github.com/PAIR-code/facets,Apache-2.0,2017-07-07 14:03:03.000000,2020-10-27 19:51:23.000000,2020-10-27 19:51:22.000000,786.0,70.0,75.0,6432.0,259.0,2019-07-24 15:33:29.000000,0.9.1,4.0,Visualizations for machine learning datasets.,35.0,35.0,27.0,24,https://pypi.org/project/facets-overview,2019-07-24 15:33:29.000000,,22188.0,22188.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n348,PyText,facebookresearch/pytext,pytext-nlp,,,nlp,['pytorch'],https://github.com/facebookresearch/pytext,https://github.com/facebookresearch/pytext,BSD-3-Clause,2018-07-31 23:40:46.000000,2020-12-22 01:28:05.000000,2020-12-22 01:27:57.000000,758.0,115.0,74.0,6099.0,1336.0,2020-06-08 23:30:58.000000,0.3.3,12.0,A natural language modeling framework based on PyTorch.,53.0,52.0,147.0,24,https://pypi.org/project/pytext-nlp,2020-04-27 08:09:25.000000,1.0,349.0,357.0,,,,True,3,209.0,,,,,,,,,,,,,,,,,,,,,,,,,\n349,EfficientNet-PyTorch,lukemelas/EfficientNet-PyTorch,efficientnet-pytorch,,,pytorch-utils,['pytorch'],https://github.com/lukemelas/EfficientNet-PyTorch,https://github.com/lukemelas/EfficientNet-PyTorch,Apache-2.0,2019-05-30 05:24:11.000000,2020-12-20 15:23:55.000000,2020-10-09 16:24:04.000000,1020.0,99.0,116.0,5250.0,141.0,2020-08-26 03:00:05.000000,0.7.0,12.0,A PyTorch implementation of EfficientNet.,7.0,,21.0,24,https://pypi.org/project/efficientnet-pytorch,2020-08-26 03:00:05.000000,7.0,32257.0,62736.0,,,,True,1,274319.0,,,,,,,,,,,,,,True,,,,,,,,,,,\n350,mmdnn,Microsoft/MMdnn,mmdnn,,,model-serialisation,,https://github.com/microsoft/MMdnn,https://github.com/microsoft/MMdnn,MIT,2017-08-16 08:03:52.000000,2020-10-22 09:57:53.000000,2020-08-14 02:32:30.000000,921.0,306.0,283.0,5137.0,1083.0,2020-07-24 06:34:39.000000,0.3.1,12.0,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,50.0,47.0,85.0,24,https://pypi.org/project/mmdnn,2020-07-24 06:34:39.000000,3.0,748.0,836.0,,,,True,2,3263.0,,,,,,,,,,,,,,,,,,,,,,,,,\n351,stanza,stanfordnlp/stanza,stanza,stanfordnlp/stanza,,nlp,,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56.000000,2020-12-23 17:51:29.000000,2020-08-13 23:07:54.000000,619.0,72.0,350.0,4990.0,1514.0,2020-08-13 06:26:20.000000,1.1.1,9.0,Official Stanford NLP Python Library for Many Human Languages.,2.0,,28.0,24,https://pypi.org/project/stanza,2020-08-13 06:08:07.000000,2.0,13993.0,14312.0,https://anaconda.org/stanfordnlp/stanza,2020-08-13 06:22:54.550000,2874.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n352,Edward,blei-lab/edward,edward,,,probabilistics,['tensorflow'],https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05.000000,2019-10-22 20:30:48.000000,2018-07-25 01:28:08.000000,767.0,212.0,327.0,4585.0,1796.0,2018-01-22 06:03:37.000000,1.3.5,28.0,\"A probabilistic programming language in TensorFlow. Deep generative models, variational inference.\",239.0,202.0,87.0,24,https://pypi.org/project/edward,2018-01-22 06:03:05.000000,37.0,1091.0,1091.0,,,,False,3,10.0,,,,,,,,,,,,,,,,,,,,,,,,,\n353,PyTorch3D,facebookresearch/pytorch3d,pytorch3d,pytorch3d/pytorch3d,,image,['pytorch'],https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,MIT,2019-10-25 02:23:45.000000,2020-12-24 19:24:41.000000,2020-12-24 19:24:28.000000,454.0,56.0,389.0,4148.0,334.0,2020-11-12 10:28:29.000000,0.3.0,6.0,PyTorch3D is FAIR's library of reusable components for deep learning with 3D data.,38.0,38.0,50.0,24,https://pypi.org/project/pytorch3d,2020-11-12 10:28:29.000000,,4700.0,5099.0,https://anaconda.org/pytorch3d/pytorch3d,2020-11-12 10:28:27.832000,5188.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n354,Lucid,tensorflow/lucid,lucid,,,interpretability,['tensorflow'],https://github.com/tensorflow/lucid,https://github.com/tensorflow/lucid,Apache-2.0,2018-01-25 17:41:44.000000,2020-12-14 12:53:11.000000,2020-11-24 20:56:27.000000,546.0,67.0,93.0,4012.0,632.0,2019-01-17 19:46:43.000000,0.3.9-alpha,16.0,A collection of infrastructure and tools for research in neural network interpretability.,380.0,374.0,34.0,24,https://pypi.org/project/lucid,2018-12-20 00:26:11.000000,6.0,595.0,595.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n355,TensorFlowOnSpark,yahoo/TensorFlowOnSpark,tensorflowonspark,,,distributed-ml,\"['tensorflow', 'spark']\",https://github.com/yahoo/TensorFlowOnSpark,https://github.com/yahoo/TensorFlowOnSpark,Apache-2.0,2017-01-20 18:15:57.000000,2020-12-23 22:10:27.000000,2020-12-21 19:10:28.000000,928.0,6.0,336.0,3606.0,589.0,2020-12-18 21:57:51.000000,2.2.2,29.0,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,5.0,,33.0,24,https://pypi.org/project/tensorflowonspark,2020-12-18 18:32:09.000000,5.0,33672.0,33672.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n356,torchdiffeq,rtqichen/torchdiffeq,torchdiffeq,,,pytorch-utils,['pytorch'],https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25.000000,2020-12-24 19:36:04.000000,2020-12-24 19:36:03.000000,551.0,21.0,95.0,3283.0,189.0,2020-09-16 23:32:05.000000,0.1.1,3.0,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,53.0,53.0,20.0,24,https://pypi.org/project/torchdiffeq,2020-09-16 23:32:05.000000,,1930.0,1930.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n357,T5,google-research/text-to-text-transfer-transformer,t5,,,nlp,['tensorflow'],https://github.com/google-research/text-to-text-transfer-transformer,https://github.com/google-research/text-to-text-transfer-transformer,Apache-2.0,2019-10-17 21:45:14.000000,2020-12-23 14:49:07.000000,2020-12-23 14:48:56.000000,407.0,38.0,274.0,3073.0,374.0,2020-12-18 21:12:02.000000,0.8.1,25.0,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,18.0,18.0,28.0,24,https://pypi.org/project/t5,2020-12-18 21:12:02.000000,0.0,6019.0,6019.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n358,Camelot,atlanhq/camelot,camelot-py,,,data-loading,,https://github.com/atlanhq/camelot,https://github.com/atlanhq/camelot,MIT,2016-06-18 11:48:49.000000,2020-07-27 12:28:15.000000,2019-10-15 05:25:40.000000,300.0,61.0,273.0,2959.0,446.0,2020-07-27 12:28:15.000000,0.8.2,21.0,Camelot: PDF Table Extraction for Humans.,10.0,,23.0,24,https://pypi.org/project/camelot-py,2020-07-27 12:28:15.000000,10.0,27329.0,27329.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n359,pytorch-summary,sksq96/pytorch-summary,torchsummary,,,pytorch-utils,['pytorch'],https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04.000000,2020-09-11 22:33:42.000000,2020-08-07 01:16:40.000000,333.0,100.0,36.0,2830.0,56.0,2018-09-26 05:07:28.000000,1.5.1,12.0,Model summary in PyTorch similar to `model.summary()` in Keras.,1796.0,1678.0,11.0,24,https://pypi.org/project/torchsummary,2018-09-26 05:07:28.000000,118.0,29363.0,29363.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n360,TensorForce,tensorforce/tensorforce,tensorforce,,,reinforcement-learning,['tensorflow'],https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22.000000,2020-12-22 14:02:01.000000,2020-12-22 14:01:55.000000,472.0,9.0,536.0,2825.0,2010.0,2020-10-03 16:00:39.000000,0.6.2,12.0,Tensorforce: a TensorFlow library for applied reinforcement learning.,23.0,,76.0,24,https://pypi.org/project/tensorforce,2019-09-07 13:56:18.000000,23.0,920.0,920.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n361,xLearn,aksnzhy/xlearn,xlearn,,,ml-frameworks,,https://github.com/aksnzhy/xlearn,https://github.com/aksnzhy/xlearn,Apache-2.0,2017-06-10 08:09:31.000000,2020-07-06 19:54:25.000000,2020-03-03 10:12:35.000000,479.0,176.0,107.0,2810.0,1340.0,2019-04-25 02:10:05.000000,0.4.4,15.0,\"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..\",39.0,38.0,30.0,24,https://pypi.org/project/xlearn,2018-12-04 11:05:06.000000,1.0,9102.0,9168.0,,,,True,3,2201.0,,,,,,,,,,,,,,,,,,,,,,,,,\n362,DeepChem,deepchem/deepchem,deepchem,,,others,['tensorflow'],https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000000,2020-12-27 09:35:43.000000,2020-12-22 22:34:33.000000,885.0,324.0,837.0,2606.0,5998.0,2019-10-11 01:49:20.000000,2.3.0,187.0,\"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.\",36.0,32.0,143.0,24,https://pypi.org/project/deepchem,2020-12-22 22:37:35.000000,4.0,2094.0,2094.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n363,DoWhy,Microsoft/dowhy,dowhy,conda-forge/dowhy,,interpretability,,https://github.com/microsoft/dowhy,https://github.com/microsoft/dowhy,MIT,2018-05-31 13:07:04.000000,2020-12-24 16:07:22.000000,2020-12-24 16:07:21.000000,353.0,13.0,77.0,2550.0,418.0,2020-12-12 15:26:03.000000,0.5.1,5.0,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,23.0,23.0,37.0,24,https://pypi.org/project/dowhy,2020-12-12 15:26:03.000000,,7914.0,8032.0,https://anaconda.org/conda-forge/dowhy,2020-12-13 07:46:12.761000,819.0,True,2,17.0,,,,,,,,,,,,,,,,,,,,,,,,,\n364,Sumy,miso-belica/sumy,sumy,,,nlp,,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48.000000,2020-11-21 17:08:35.000000,2020-11-21 17:08:33.000000,432.0,10.0,78.0,2445.0,397.0,2019-05-19 14:39:21.000000,0.8.1,13.0,Module for automatic summarization of text documents and HTML pages.,807.0,615.0,20.0,24,https://pypi.org/project/sumy,2019-05-19 14:38:29.000000,192.0,7494.0,7494.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n365,Arctic,man-group/arctic,arctic,conda-forge/arctic,,data-containers,,https://github.com/man-group/arctic,https://github.com/man-group/arctic,LGPL-2.1,2015-05-29 13:37:30.000000,2020-12-02 16:19:11.000000,2020-12-02 16:19:07.000000,428.0,84.0,420.0,2121.0,1065.0,2020-12-01 23:17:26.000000,1.79.4,83.0,Arctic is a high performance datastore for numeric data.,143.0,101.0,69.0,24,https://pypi.org/project/arctic,2020-12-01 23:16:12.000000,42.0,2775.0,3406.0,https://anaconda.org/conda-forge/arctic,2019-12-16 08:57:24.231000,11984.0,False,3,85.0,,,,,,,,,,,,,,,,,,,,,,,,,\n366,Hyperas,maxpumperla/hyperas,hyperas,,,hyperopt,['keras'],https://github.com/maxpumperla/hyperas,https://github.com/maxpumperla/hyperas,MIT,2016-02-19 14:45:10.000000,2020-12-22 08:31:48.000000,2020-12-22 08:31:47.000000,296.0,88.0,158.0,2056.0,209.0,2019-02-28 09:16:54.000000,0.4.1,9.0,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,21.0,,21.0,24,https://pypi.org/project/hyperas,2019-02-28 09:16:54.000000,21.0,14418.0,14418.0,,,,True,2,,,,,,,,,,,,,,,,-2.0,,,,,,,,,,\n367,SRU,asappresearch/sru,sru,,,pytorch-utils,['pytorch'],https://github.com/asappresearch/sru,https://github.com/asappresearch/sru,MIT,2017-08-28 20:37:41.000000,2020-12-17 19:41:19.000000,2020-12-17 19:36:53.000000,279.0,48.0,53.0,1857.0,378.0,2020-12-17 19:40:55.000000,2.6.0-rc1,21.0,Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755).,16.0,15.0,21.0,24,https://pypi.org/project/sru,2020-12-17 19:41:19.000000,1.0,2900.0,2900.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,,,\n368,mongo-connector,yougov/mongo-connector,mongo-connector,,,db-clients,,https://github.com/yougov/mongo-connector,https://github.com/yougov/mongo-connector,Apache-2.0,2012-08-09 23:39:36.000000,2020-08-03 08:07:40.000000,2018-12-05 18:23:06.000000,454.0,226.0,504.0,1757.0,1112.0,2018-12-05 19:18:21.000000,3.1.1,51.0,MongoDB data stream pipeline tools by YouGov (adopted from MongoDB).,119.0,90.0,62.0,24,https://pypi.org/project/mongo-connector,2018-12-05 19:18:21.000000,29.0,2880.0,2880.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n369,Alphalens,quantopian/alphalens,alphalens,conda-forge/alphalens,,financial-data,,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15.000000,2020-09-05 16:48:14.000000,2020-04-27 18:40:41.000000,603.0,38.0,144.0,1670.0,522.0,2020-04-30 15:42:52.000000,0.4.0,10.0,Performance analysis of predictive (alpha) stock factors.,356.0,342.0,25.0,24,https://pypi.org/project/alphalens,2020-04-27 21:03:10.000000,14.0,1616.0,1913.0,https://anaconda.org/conda-forge/alphalens,2020-05-16 13:52:44.922000,10107.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n370,pgmpy,pgmpy/pgmpy,pgmpy,,,probabilistics,,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000000,2020-12-19 13:39:09.000000,2020-12-19 13:39:08.000000,542.0,225.0,485.0,1656.0,6.0,2020-09-30 14:12:15.000000,0.1.12,10.0,Python Library for learning (Structure and Parameter) and inference (Statistical and Causal) in Bayesian Networks.,178.0,172.0,88.0,24,https://pypi.org/project/pgmpy,2020-06-30 12:59:43.000000,6.0,20275.0,20281.0,,,,True,3,37.0,,,,,,,,,,,,,,,,,,,,,,,,,\n371,HyperTools,ContextLab/hypertools,hypertools,,,data-viz,,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25.000000,2020-10-29 02:47:18.000000,2020-10-02 21:09:56.000000,151.0,69.0,120.0,1600.0,1565.0,2020-10-02 21:38:16.000000,0.6.3,19.0,A Python toolbox for gaining geometric insights into high-dimensional data.,99.0,90.0,20.0,24,https://pypi.org/project/hypertools,2020-10-02 21:41:53.000000,9.0,516.0,516.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n372,TorchServe,pytorch/serve,torchserve,pytorch/torchserve,,model-serialisation,['pytorch'],https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000000,2020-12-25 01:18:51.000000,2020-12-24 17:08:51.000000,213.0,130.0,389.0,1471.0,1034.0,2020-12-18 01:38:41.000000,0.3.0,6.0,Model Serving on PyTorch.,24.0,24.0,61.0,24,https://pypi.org/project/torchserve,2020-12-17 19:04:04.000000,,1505.0,3224.0,https://anaconda.org/pytorch/torchserve,2020-12-17 18:30:12.593000,5471.0,True,2,137.0,,,pytorch/torchserve,https://hub.docker.com/r/pytorch/torchserve,2020-12-18 18:32:51.570336,3.0,14279.0,,,,,,,,,,,,,,,,,,\n373,PyTextRank,DerwenAI/pytextrank,pytextrank,,,nlp,,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000000,2020-11-18 14:09:32.000000,2020-09-21 19:22:46.000000,280.0,15.0,37.0,1373.0,147.0,2020-09-15 16:51:59.000000,2.0.3,10.0,Python implementation of TextRank for phrase extraction and summarization of text documents.,125.0,119.0,10.0,24,https://pypi.org/project/pytextrank,2020-09-15 16:51:59.000000,6.0,11606.0,11606.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n374,mtcnn,ipazc/mtcnn,mtcnn,,,image,['tensorflow'],https://github.com/ipazc/mtcnn,https://github.com/ipazc/mtcnn,MIT,2018-01-05 04:08:32.000000,2020-12-13 18:20:00.000000,2020-06-07 23:21:01.000000,363.0,51.0,36.0,1328.0,52.0,2019-11-14 17:37:05.000000,0.1.0,10.0,\"MTCNN face detection implementation for TensorFlow, as a PIP package.\",796.0,775.0,13.0,24,https://pypi.org/project/mtcnn,2019-11-14 17:37:05.000000,21.0,13712.0,13712.0,,,,True,3,,,,,,,,,,,,,,,True,,,,,,,,,,,\n375,TNT,pytorch/tnt,torchnet,,,ml-experiments,['pytorch'],https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58.000000,2020-01-15 16:00:31.000000,2020-01-15 16:00:30.000000,182.0,30.0,34.0,1263.0,155.0,2019-11-15 12:57:59.000000,0.0.5.1,3.0,\"Simple tools for logging and visualizing, loading and training.\",552.0,502.0,34.0,24,https://pypi.org/project/torchnet,2018-07-29 23:16:03.000000,50.0,8308.0,8308.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n376,Fairness 360,Trusted-AI/AIF360,aif360,,,interpretability,,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15.000000,2020-12-23 17:28:49.000000,2020-10-28 02:10:25.000000,379.0,35.0,46.0,1169.0,288.0,2020-06-02 22:59:53.000000,0.3.0,8.0,\"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..\",62.0,60.0,40.0,24,https://pypi.org/project/aif360,2020-06-02 22:49:24.000000,2.0,3242.0,3242.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n377,IB-insync,erdewit/ib_insync,ib_insync,conda-forge/ib-insync,,financial-data,,https://github.com/erdewit/ib_insync,https://github.com/erdewit/ib_insync,BSD-2-Clause,2017-07-12 12:09:24.000000,2020-12-13 10:15:17.000000,2020-12-13 10:15:02.000000,372.0,3.0,273.0,1156.0,544.0,2020-11-03 13:37:57.000000,0.9.64,89.0,Python sync/async framework for Interactive Brokers API.,12.0,,25.0,24,https://pypi.org/project/ib_insync,2020-11-03 13:37:57.000000,12.0,3083.0,3489.0,https://anaconda.org/conda-forge/ib-insync,2020-11-07 23:30:42.910000,6913.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n378,TextAttack,QData/TextAttack,textattack,,,adversarial,,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000000,2020-12-27 05:23:02.000000,2020-12-27 05:16:10.000000,123.0,29.0,72.0,1147.0,1899.0,2020-12-27 05:23:02.000000,0.2.15,35.0,\"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP.\",11.0,11.0,30.0,24,https://pypi.org/project/textattack,2020-12-27 05:23:02.000000,0.0,1287.0,1287.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n379,Optimus,ironmussa/Optimus,optimuspyspark,,,data-pipelines,['spark'],https://github.com/ironmussa/Optimus,https://github.com/ironmussa/Optimus,Apache-2.0,2017-07-13 02:31:18.000000,2020-12-26 21:20:58.000000,2020-11-19 14:04:43.000000,189.0,139.0,165.0,963.0,3520.0,2020-07-19 03:05:40.000000,2.2.32,85.0,\"Agile Data Preparation Workflows madeeasy with dask, cudf, dask_cudf and pyspark.\",11.0,11.0,21.0,24,https://pypi.org/project/optimuspyspark,2019-05-30 02:22:54.000000,,7733.0,7733.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n380,Streamz,python-streamz/streamz,streamz,conda-forge/streamz,,time-series-data,,https://github.com/python-streamz/streamz,https://github.com/python-streamz/streamz,BSD-3-Clause,2017-04-04 21:45:49.000000,2020-12-10 21:50:53.000000,2020-12-10 21:02:45.000000,110.0,89.0,125.0,894.0,723.0,2020-11-02 14:53:29.000000,0.6.1,14.0,Real-time stream processing for python.,196.0,180.0,38.0,24,https://pypi.org/project/streamz,2020-11-02 14:53:29.000000,16.0,2774.0,5314.0,https://anaconda.org/conda-forge/streamz,2020-11-03 14:52:05.793000,99069.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n381,PySAL,pysal/pysal,pysal,conda-forge/pysal,,geospatial-data,,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42.000000,2020-08-01 00:57:58.000000,2020-08-01 00:57:56.000000,241.0,58.0,569.0,802.0,4067.0,2020-07-30 03:12:31.000000,2.3.0,24.0,PySAL: Python Spatial Analysis Library Meta-Package.,18.0,,69.0,24,https://pypi.org/project/pysal,2020-07-30 03:12:31.000000,18.0,10976.0,18414.0,https://anaconda.org/conda-forge/pysal,2020-07-30 10:24:58.290000,394214.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n382,SciSpacy,allenai/scispacy,scispacy,,,nlp,,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52.000000,2020-12-25 07:33:18.000000,2020-11-10 19:32:41.000000,115.0,17.0,121.0,765.0,786.0,2020-10-16 17:13:40.000000,0.3.0,9.0,A full spaCy pipeline and models for scientific/biomedical documents.,203.0,191.0,14.0,24,https://pypi.org/project/scispacy,2020-10-16 17:13:40.000000,12.0,8751.0,8751.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n383,ffn,pmorissette/ffn,ffn,,,financial-data,,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09.000000,2020-12-24 03:15:18.000000,2020-12-18 01:00:27.000000,171.0,16.0,57.0,727.0,301.0,2018-05-28 14:01:56.000000,0.3.4,25.0,ffn - a financial function library for Python.,110.0,94.0,23.0,24,https://pypi.org/project/ffn,2018-05-28 14:01:56.000000,16.0,11384.0,11384.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n384,GPyOpt,SheffieldML/GPyOpt,gpyopt,,,hyperopt,,https://github.com/SheffieldML/GPyOpt,https://github.com/SheffieldML/GPyOpt,BSD-3-Clause,2014-08-13 09:58:25.000000,2020-11-17 10:32:02.000000,2020-11-05 15:16:04.000000,214.0,100.0,186.0,700.0,514.0,2020-03-19 21:21:18.000000,1.2.6,11.0,Gaussian Process Optimization using GPy.,197.0,161.0,49.0,24,https://pypi.org/project/gpyopt,2020-03-19 11:37:45.000000,36.0,5205.0,5205.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n385,ktrain,amaiya/ktrain,ktrain,,,ml-frameworks,['keras'],https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39.000000,2020-12-26 22:35:06.000000,2020-12-26 22:34:52.000000,167.0,8.0,276.0,696.0,2137.0,2020-12-23 23:20:12.000000,0.25.3,145.0,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,108.0,107.0,12.0,24,https://pypi.org/project/ktrain,2020-12-05 17:43:35.000000,1.0,7299.0,7299.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n386,pythreejs,jupyter-widgets/pythreejs,pythreejs,conda-forge/pythreejs,,data-viz,['jupyter'],https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,BSD-3-Clause,2013-12-23 17:02:11.000000,2020-12-20 23:49:12.000000,2020-10-09 09:41:09.000000,156.0,56.0,136.0,690.0,1594.0,2020-03-19 11:32:37.000000,2.2.1,42.0,A Jupyter - Three.js bridge.,36.0,15.0,24.0,24,https://pypi.org/project/pythreejs,2020-10-09 09:40:47.000000,13.0,6709.0,15867.0,https://anaconda.org/conda-forge/pythreejs,2020-10-12 12:24:08.446000,254858.0,True,3,,,,,,,,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,2020-03-19 11:22:13.041000,8.0,4525.0,,,,,,,,,,,,,\n387,Hail,hail-is/hail,hail,,,medical-data,['spark'],https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000000,2020-12-23 17:34:47.000000,2020-12-23 03:22:51.000000,179.0,323.0,1934.0,688.0,7617.0,2020-12-03 19:29:37.000000,0.2.61,81.0,Scalable genomic data analysis.,26.0,26.0,68.0,24,https://pypi.org/project/hail,2020-12-03 19:29:37.000000,,1588.0,1588.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n388,PennyLane,PennyLaneAI/PennyLane,pennylane,,,others,,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000000,2020-12-27 13:49:48.000000,2020-12-22 16:04:07.000000,200.0,50.0,217.0,675.0,1734.0,2020-12-22 16:10:22.000000,0.13.0-post2,18.0,PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum..,20.0,,38.0,24,https://pypi.org/project/pennylane,2020-11-27 18:07:34.000000,20.0,2831.0,2833.0,,,,True,2,52.0,,,,,,,,,,,,,,,,,,,,,,,,,\n389,Singer,singer-io/getting-started,singer-python,,,data-loading,,https://github.com/singer-io/getting-started,https://github.com/singer-io/getting-started,AGPL-3.0,2016-10-31 16:53:56.000000,2020-12-04 20:57:23.000000,2020-12-04 20:57:19.000000,91.0,20.0,16.0,649.0,173.0,2019-11-04 21:43:38.000000,5.9.1,100.0,\"Standard for moving data between databases, web APIs, files, queues, and just about anything else you can think of.\",300.0,,26.0,24,https://pypi.org/project/singer-python,2020-10-27 17:49:47.000000,300.0,59984.0,59984.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n390,arch,bashtage/arch,arch,,,financial-data,,https://github.com/bashtage/arch,https://github.com/bashtage/arch,NCSA,2014-08-29 15:41:28.000000,2020-12-18 17:19:21.000000,2020-12-18 17:15:59.000000,151.0,14.0,120.0,626.0,740.0,2020-06-24 19:19:12.000000,4.15,26.0,ARCH models in Python.,249.0,228.0,25.0,24,https://pypi.org/project/arch,2020-06-24 19:20:21.000000,21.0,63891.0,63891.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n391,pyjanitor,ericmjl/pyjanitor,pyjanitor,conda-forge/pyjanitor,,others,,https://github.com/ericmjl/pyjanitor,https://github.com/ericmjl/pyjanitor,MIT,2018-03-04 22:43:33.000000,2020-12-23 21:23:23.000000,2020-12-23 19:58:43.000000,119.0,88.0,278.0,604.0,1162.0,2020-10-03 12:24:35.000000,0.20.10,46.0,Clean APIs for data cleaning. Python implementation of R package Janitor.,74.0,72.0,87.0,24,https://pypi.org/project/pyjanitor,2020-10-03 12:24:35.000000,2.0,1525.0,3815.0,https://anaconda.org/conda-forge/pyjanitor,2020-10-04 12:30:53.707000,75574.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n392,neo4j-driver,neo4j/neo4j-python-driver,neo4j-driver,,,db-clients,,https://github.com/neo4j/neo4j-python-driver,https://github.com/neo4j/neo4j-python-driver,Apache-2.0,2015-05-05 13:08:20.000000,2020-12-22 10:27:48.000000,2020-12-18 12:08:10.000000,132.0,4.0,167.0,585.0,,2020-12-21 13:59:28.000000,4.2.1,81.0,Neo4j Bolt driver for Python.,382.0,,26.0,24,https://pypi.org/project/neo4j-driver,2020-12-21 13:56:38.000000,382.0,71563.0,71563.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n393,pyahocorasick,WojciechMula/pyahocorasick,pyahocorasick,conda-forge/pyahocorasick,,nlp,,https://github.com/WojciechMula/pyahocorasick,https://github.com/WojciechMula/pyahocorasick,BSD-3-Clause,2013-05-30 19:55:46.000000,2020-12-23 10:51:28.000000,2020-12-23 10:51:27.000000,85.0,30.0,63.0,564.0,394.0,2018-12-20 19:06:01.000000,1.4.0,22.0,Python module (C extension and plain python) implementing Aho-Corasick algorithm.,519.0,455.0,20.0,24,https://pypi.org/project/pyahocorasick,2019-01-14 16:20:13.000000,64.0,115073.0,118003.0,https://anaconda.org/conda-forge/pyahocorasick,2020-10-13 12:20:05.350000,105489.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n394,HappyBase,python-happybase/happybase,happybase,conda-forge/happybase,,db-clients,,https://github.com/python-happybase/happybase,https://github.com/python-happybase/happybase,MIT,2012-05-20 20:06:10.000000,2020-04-09 10:46:31.000000,2020-04-09 10:46:29.000000,151.0,27.0,179.0,552.0,283.0,2017-04-03 21:13:18.000000,1.1.0,11.0,A developer-friendly Python library to interact with Apache HBase.,871.0,449.0,19.0,24,https://pypi.org/project/happybase,2017-04-03 21:13:18.000000,422.0,40043.0,40916.0,https://anaconda.org/conda-forge/happybase,2019-07-01 13:37:04.756000,47153.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n395,Intake,intake/intake,intake,conda-forge/intake,,data-loading,,https://github.com/intake/intake,https://github.com/intake/intake,BSD-2-Clause,2017-08-14 20:44:22.000000,2020-12-24 16:46:34.000000,2020-12-16 20:19:01.000000,91.0,75.0,189.0,507.0,1612.0,2020-06-03 19:03:40.000000,0.6.0,19.0,\"Intake is a lightweight package for finding, investigating, loading and disseminating data.\",286.0,212.0,51.0,24,https://pypi.org/project/intake,2020-06-03 19:03:40.000000,74.0,3282.0,5428.0,https://anaconda.org/conda-forge/intake,2020-06-03 19:49:52.133000,53657.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n396,datalad,datalad/datalad,datalad,conda-forge/datalad,,others,,https://github.com/datalad/datalad,https://github.com/datalad/datalad,MIT,2013-11-01 19:40:08.000000,2020-12-22 14:33:58.000000,2020-12-22 14:33:56.000000,68.0,711.0,2150.0,219.0,13176.0,2020-12-14 16:11:03.000000,0.13.6,61.0,\"Keep code, data, containers under control with git and git-annex.\",26.0,,40.0,24,https://pypi.org/project/datalad,2020-12-14 16:07:46.000000,26.0,1818.0,4071.0,https://anaconda.org/conda-forge/datalad,2020-12-14 19:11:37.177000,74370.0,True,2,,,,,,,,,,,,,,,True,,,,,,,,,,,\n397,PaddleOCR,PaddlePaddle/PaddleOCR,paddleocr,,,ocr,['paddle'],https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000000,2020-12-27 09:49:58.000000,2020-12-26 06:41:35.000000,1550.0,261.0,752.0,7989.0,,2020-12-18 04:01:23.000000,2.0.2,10.0,\"Awesome multilingual OCR toolkits based on PaddlePaddle practical ultra lightweight OCR system, provide data..\",10.0,10.0,41.0,23,https://pypi.org/project/paddleocr,2020-12-18 04:01:23.000000,0.0,1494.0,1494.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n398,Ciphey,Ciphey/Ciphey,ciphey,,,nlp,,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39.000000,2020-12-25 11:27:58.000000,2020-12-07 03:11:45.000000,327.0,45.0,168.0,5946.0,1712.0,2020-12-02 12:36:44.000000,5.11.0,43.0,\"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.\",,,38.0,23,https://pypi.org/project/ciphey,2020-12-02 12:36:44.000000,,4786.0,5198.0,,,,True,3,,,,remnux/ciphey,https://hub.docker.com/r/remnux/ciphey,2020-12-17 02:51:41.340501,1.0,7013.0,,,,,,,,,,,,,,,,,,\n399,Apex,NVIDIA/apex,,conda-forge/nvidia-apex,,gpu-utilities,['pytorch'],https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000000,2020-12-17 17:18:44.000000,2020-12-17 17:18:43.000000,656.0,425.0,359.0,4883.0,828.0,,,1.0,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,409.0,409.0,77.0,23,,,,,1969.0,https://anaconda.org/conda-forge/nvidia-apex,2020-11-23 18:41:00.769000,27571.0,True,2,,,,,,,,,,,,,,,,3.0,,,,,,,,,,\n400,flashtext,vi3k6i5/flashtext,flashtext,,,nlp,,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01.000000,2020-06-05 00:37:46.000000,2020-05-03 07:13:22.000000,521.0,48.0,49.0,4592.0,108.0,,,18.0,Extract Keywords from sentence or Replace keywords in sentences.,350.0,318.0,8.0,23,https://pypi.org/project/flashtext,2018-02-16 05:24:17.000000,32.0,229721.0,229721.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n401,PaddleHub,PaddlePaddle/PaddleHub,paddlehub,,,others,['paddle'],https://github.com/PaddlePaddle/PaddleHub,https://github.com/PaddlePaddle/PaddleHub,Apache-2.0,2018-12-21 06:00:48.000000,2020-12-27 03:47:51.000000,2020-12-25 06:16:25.000000,952.0,243.0,370.0,4231.0,,2020-12-02 05:03:05.000000,2.0.0-beta1,38.0,\"Awesome pre-trained models toolkit based on PaddlePaddle.180+ models including Image, Text, Audio and Video with Easy..\",71.0,71.0,32.0,23,https://pypi.org/project/paddlehub,2020-12-24 13:01:16.000000,0.0,2093.0,2113.0,,,,True,3,421.0,,,,,,,,,,,,,,True,,,,,,,,,,,\n402,textgenrnn,minimaxir/textgenrnn,textgenrnn,,,nlp,['tensorflow'],https://github.com/minimaxir/textgenrnn,https://github.com/minimaxir/textgenrnn,MIT,2017-08-07 02:13:37.000000,2020-12-25 03:33:19.000000,2020-07-14 02:41:10.000000,654.0,107.0,79.0,4192.0,174.0,2020-02-03 01:07:00.000000,2.0.0,14.0,Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines..,568.0,554.0,19.0,23,https://pypi.org/project/textgenrnn,2020-02-02 21:16:15.000000,14.0,802.0,813.0,,,,True,3,383.0,,,,,,,,,,,,,,True,,,,,,,,,,,\n403,DeepSpeed,microsoft/DeepSpeed,deepspeed,,,distributed-ml,['pytorch'],https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,MIT,2020-01-23 18:35:18.000000,2020-12-23 08:07:32.000000,2020-12-23 06:26:26.000000,344.0,90.0,138.0,3855.0,376.0,2020-12-09 17:12:01.000000,0.3.9,17.0,\"DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.\",5.0,5.0,34.0,23,https://pypi.org/project/deepspeed,2020-12-23 06:29:20.000000,,1037.0,1629.0,,,,True,3,,,,deepspeed/deepspeed,https://hub.docker.com/r/deepspeed/deepspeed,2020-11-20 00:17:12.819964,2.0,6519.0,,,,,,,,,,,,,,,,,,\n404,Snips NLU,snipsco/snips-nlu,snips-nlu,,,nlp,,https://github.com/snipsco/snips-nlu,https://github.com/snipsco/snips-nlu,Apache-2.0,2017-02-08 16:16:36.000000,2020-12-24 12:59:47.000000,2020-02-08 21:49:32.000000,453.0,50.0,196.0,3423.0,2153.0,2020-01-15 10:13:17.000000,0.20.2,58.0,Snips Python library to extract meaning from text.,8.0,,21.0,23,https://pypi.org/project/snips-nlu,2020-01-15 10:13:17.000000,8.0,1549.0,1549.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n405,Great Expectations,great-expectations/great_expectations,great_expectations,,,data-pipelines,,https://github.com/great-expectations/great_expectations,https://github.com/great-expectations/great_expectations,Apache-2.0,2017-09-11 00:18:46.000000,2020-12-26 17:32:37.000000,2020-12-23 22:41:10.000000,371.0,151.0,581.0,3291.0,,2020-12-23 01:56:12.000000,0.13.4,95.0,Always know what to expect from your data.,6.0,,137.0,23,https://pypi.org/project/great_expectations,2020-12-23 01:50:41.000000,6.0,346847.0,346847.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n406,VisualDL,PaddlePaddle/VisualDL,visualdl,,,ml-experiments,['paddle'],https://github.com/PaddlePaddle/VisualDL,https://github.com/PaddlePaddle/VisualDL,Apache-2.0,2017-12-20 12:34:31.000000,2020-12-24 13:17:23.000000,2020-12-24 06:06:40.000000,428.0,22.0,309.0,3173.0,,2020-11-26 10:19:27.000000,2.0.5,29.0,Deep Learning Visualization Toolkit.,123.0,118.0,26.0,23,https://pypi.org/project/visualdl,2020-11-26 10:16:06.000000,5.0,4218.0,4227.0,,,,True,3,57.0,,,,,,,,,,,,,,,,,,,,,,,,,\n407,PyAlgoTrade,gbeced/pyalgotrade,pyalgotrade,,,financial-data,,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54.000000,2020-12-24 18:41:56.000000,2018-08-21 02:42:52.000000,1139.0,38.0,81.0,3087.0,1156.0,,,8.0,Python Algorithmic Trading Library.,87.0,66.0,11.0,23,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25.000000,21.0,553.0,553.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n408,segmentation_models,qubvel/segmentation_models,segmentation_models,,,image,\"['tensorflow', 'keras']\",https://github.com/qubvel/segmentation_models,https://github.com/qubvel/segmentation_models,MIT,2018-06-05 13:27:56.000000,2020-12-13 13:48:40.000000,2020-04-17 09:51:20.000000,653.0,137.0,234.0,2818.0,204.0,2020-01-10 11:36:02.000000,1.0.1,8.0,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,12.0,,14.0,23,https://pypi.org/project/segmentation_models,2020-01-10 11:36:02.000000,12.0,14815.0,14815.0,,,,True,3,,,,,,,,,,,,,,,True,,,,,,,,,,,\n409,SHOGUN,shogun-toolbox/shogun,,conda-forge/shogun,,ml-frameworks,,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32.000000,2020-12-25 23:03:46.000000,2020-12-08 16:56:38.000000,1014.0,544.0,1067.0,2775.0,16205.0,2019-07-05 10:23:31.000000,shogun_6.1.4,10.0,Unified and efficient Machine Learning.,,,248.0,23,,,,,2186.0,https://anaconda.org/conda-forge/shogun,2018-06-25 20:49:17.070000,89169.0,True,3,,,shogun,shogun/shogun,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1436.0,,,,,,,,3.0,,,,,,,,,,\n410,keras-vis,raghakot/keras-vis,keras-vis,,,interpretability,,https://github.com/raghakot/keras-vis,https://github.com/raghakot/keras-vis,MIT,2016-11-11 23:27:34.000000,2020-04-20 01:03:13.000000,2020-04-20 01:03:12.000000,561.0,110.0,99.0,2765.0,195.0,2017-07-06 04:55:04.000000,0.4.1,11.0,Neural network visualization toolkit for keras.,654.0,626.0,10.0,23,https://pypi.org/project/keras-vis,2017-07-06 04:55:04.000000,28.0,2625.0,2625.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n411,gallery-dl,mikf/gallery-dl,gallery-dl,,,web-scraping,,https://github.com/mikf/gallery-dl,https://github.com/mikf/gallery-dl,GPL-2.0,2014-10-12 19:38:05.000000,2020-12-23 14:13:38.000000,2020-12-22 14:08:10.000000,221.0,204.0,924.0,2763.0,2769.0,2020-12-12 22:24:39.000000,1.16.0,87.0,Command-line program to download image galleries and collections from several image hosting sites.,4.0,,27.0,23,https://pypi.org/project/gallery-dl,2020-11-27 17:38:00.000000,4.0,5762.0,7022.0,,,,False,3,76862.0,,,,,,,,,,,,,,,,,,,,,,,,,\n412,PML,KevinMusgrave/pytorch-metric-learning,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,pytorch-utils,['pytorch'],https://github.com/KevinMusgrave/pytorch-metric-learning,https://github.com/KevinMusgrave/pytorch-metric-learning,MIT,2019-10-23 17:20:35.000000,2020-12-27 13:00:29.000000,2020-12-27 12:22:46.000000,343.0,30.0,167.0,2544.0,548.0,2020-12-11 05:13:08.000000,0.9.95,135.0,\"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.\",40.0,40.0,12.0,23,https://pypi.org/project/pytorch-metric-learning,2019-12-27 11:28:11.000000,0.0,4327.0,4421.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2020-12-11 06:48:33.049000,1037.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n413,WikiExtractor,attardi/wikiextractor,wikiextractor,,,web-scraping,,https://github.com/attardi/wikiextractor,https://github.com/attardi/wikiextractor,AGPL-3.0,2015-03-22 12:03:01.000000,2020-12-17 12:18:10.000000,2020-12-17 12:17:34.000000,719.0,81.0,107.0,2480.0,217.0,2020-12-05 19:18:56.000000,3.0.4,3.0,A tool for extracting plain text from Wikipedia dumps.,39.0,35.0,29.0,23,https://pypi.org/project/wikiextractor,2020-12-05 19:18:56.000000,4.0,2338.0,2338.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n414,MMLSpark,Azure/mmlspark,mmlspark,,,distributed-ml,['spark'],https://github.com/Azure/mmlspark,https://github.com/Azure/mmlspark,MIT,2017-06-05 08:23:44.000000,2020-12-11 15:17:54.000000,2020-12-03 17:05:17.000000,467.0,171.0,212.0,2220.0,760.0,2020-10-02 19:36:01.000000,1.0.0-rc3,17.0,Microsoft Machine Learning for Apache Spark.,,,61.0,23,https://pypi.org/project/mmlspark,2020-03-18 01:27:31.000000,,18766.0,18766.0,,,,True,3,,,,,,,,,,,,,,,,4.0,,,,,,,,,,\n415,einops,arogozhnikov/einops,einops,conda-forge/einops,,ml-frameworks,,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08.000000,2020-11-21 03:15:40.000000,2020-11-14 04:18:36.000000,64.0,22.0,37.0,2005.0,290.0,2020-09-08 08:33:29.000000,0.3,3.0,\"Deep learning operations reinvented (for pytorch, tensorflow, chainer, gluon and others).\",160.0,150.0,10.0,23,https://pypi.org/project/einops,2020-09-08 08:21:26.000000,10.0,9898.0,10122.0,https://anaconda.org/conda-forge/einops,2020-10-15 20:10:19.681000,3365.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n416,scikit-plot,reiinakano/scikit-plot,scikit-plot,conda-forge/scikit-plot,,interpretability,['sklearn'],https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59.000000,2020-07-22 16:19:25.000000,2018-08-19 12:37:47.000000,238.0,21.0,38.0,1975.0,130.0,2018-08-19 12:21:01.000000,0.3.7,27.0,An intuitive library to add plotting functionality to scikit-learn objects.,687.0,660.0,13.0,23,https://pypi.org/project/scikit-plot,2018-08-19 12:18:46.000000,27.0,49448.0,51358.0,https://anaconda.org/conda-forge/scikit-plot,2019-06-05 14:23:59.043000,78321.0,False,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n417,ART,Trusted-AI/adversarial-robustness-toolbox,adversarial-robustness-toolbox,,,adversarial,,https://github.com/Trusted-AI/adversarial-robustness-toolbox,https://github.com/Trusted-AI/adversarial-robustness-toolbox,MIT,2018-03-15 14:40:43.000000,2020-12-24 18:59:20.000000,2020-12-19 00:01:10.000000,548.0,51.0,318.0,1918.0,,2020-12-01 01:59:38.000000,1.5.0,26.0,\"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..\",94.0,94.0,58.0,23,https://pypi.org/project/adversarial-robustness-toolbox,2020-12-01 01:03:21.000000,,1876.0,1876.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n418,pytorch-nlp,PetrochukM/PyTorch-NLP,pytorch-nlp,,,nlp,['pytorch'],https://github.com/PetrochukM/PyTorch-NLP,https://github.com/PetrochukM/PyTorch-NLP,BSD-3-Clause,2018-02-25 05:00:36.000000,2020-10-11 02:41:30.000000,2020-10-11 02:41:24.000000,223.0,14.0,49.0,1847.0,442.0,2019-11-04 05:16:00.000000,0.5.0,19.0,Basic Utilities for PyTorch Natural Language Processing (NLP).,183.0,165.0,17.0,23,https://pypi.org/project/pytorch-nlp,2019-11-04 04:35:18.000000,18.0,3903.0,3903.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n419,Acme,deepmind/acme,dm-acme,,,reinforcement-learning,['tensorflow'],https://github.com/deepmind/acme,https://github.com/deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000000,2020-12-17 12:47:09.000000,2020-12-17 12:46:33.000000,174.0,37.0,43.0,1837.0,319.0,2020-10-23 15:59:12.000000,0.2.0,8.0,A library of reinforcement learning components and agents.,16.0,16.0,29.0,23,https://pypi.org/project/dm-acme,2020-07-24 13:03:30.000000,,599.0,599.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n420,Essentia,MTG/essentia,essentia,,,audio,,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000000,2020-12-24 10:03:01.000000,2020-12-16 16:22:01.000000,389.0,280.0,557.0,1691.0,2689.0,2015-03-31 16:33:30.000000,2.0,8.0,\"C++ library for audio and music analysis, description and synthesis, including Python bindings.\",144.0,139.0,69.0,23,https://pypi.org/project/essentia,2020-04-22 16:31:02.000000,5.0,1394.0,1394.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n421,DDSP,magenta/ddsp,ddsp,,,audio,['tensorflow'],https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27.000000,2020-12-21 21:43:25.000000,2020-12-21 21:43:15.000000,154.0,13.0,84.0,1685.0,334.0,2020-11-11 21:25:25.000000,0.13.0,25.0,DDSP: Differentiable Digital Signal Processing.,5.0,5.0,22.0,23,https://pypi.org/project/ddsp,2020-08-21 20:19:47.000000,,1412.0,1412.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n422,GluonTS,awslabs/gluon-ts,gluonts,,,time-series-data,['mxnet'],https://github.com/awslabs/gluon-ts,https://github.com/awslabs/gluon-ts,Apache-2.0,2019-05-15 17:17:29.000000,2020-12-27 11:52:41.000000,2020-12-27 11:52:40.000000,347.0,180.0,336.0,1625.0,623.0,2020-12-08 15:07:54.000000,0.6.4,27.0,Probabilistic time series modeling in Python.,,,66.0,23,https://pypi.org/project/gluonts,2020-12-08 15:07:54.000000,,22345.0,22345.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n423,Spektral,danielegrattarola/spektral,spektral,,,graph,\"['keras', 'tensorflow']\",https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10.000000,2020-12-27 11:54:19.000000,2020-12-27 11:54:17.000000,178.0,20.0,89.0,1553.0,414.0,2020-12-10 21:12:38.000000,1.0.3,26.0,Graph Neural Networks with Keras and Tensorflow 2.,26.0,26.0,16.0,23,https://pypi.org/project/spektral,2020-12-10 21:12:38.000000,,4046.0,4046.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n424,Pillow-SIMD,uploadcare/pillow-simd,pillow-simd,,,image,,https://github.com/uploadcare/pillow-simd,https://github.com/uploadcare/pillow-simd,PIL,2014-11-12 15:33:02.000000,2020-11-03 07:45:01.000000,2020-06-02 14:50:14.000000,66.0,11.0,52.0,1515.0,,2020-01-02 05:19:26.000000,7.0.0,35.0,The friendly PIL fork.,401.0,351.0,310.0,23,https://pypi.org/project/pillow-simd,2020-01-26 14:30:27.000000,50.0,10951.0,10951.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n425,Elephas,maxpumperla/elephas,elephas,,,distributed-ml,\"['keras', 'spark']\",https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19.000000,2020-12-22 08:32:41.000000,2020-12-22 08:32:40.000000,280.0,51.0,80.0,1434.0,337.0,2019-03-20 17:02:37.000000,0.4.3,9.0,Distributed Deep learning with Keras & Spark.,3.0,,25.0,23,https://pypi.org/project/elephas,2020-02-10 13:38:21.000000,3.0,10517.0,10517.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n426,sklearn-contrib-lightning,scikit-learn-contrib/lightning,sklearn-contrib-lightning,conda-forge/sklearn-contrib-lightning,,others,['sklearn'],https://github.com/scikit-learn-contrib/lightning,https://github.com/scikit-learn-contrib/lightning,BSD-3-Clause,2012-01-11 13:53:52.000000,2020-12-26 21:55:58.000000,2020-12-26 21:55:56.000000,188.0,49.0,35.0,1413.0,699.0,2017-11-04 18:03:11.000000,0.5.0,7.0,\"Large-scale linear classification, regression and ranking in Python.\",75.0,70.0,16.0,23,https://pypi.org/project/sklearn-contrib-lightning,2020-12-16 17:25:20.000000,5.0,410.0,2774.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2020-12-20 22:58:20.890000,125303.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n427,bonobo,python-bonobo/bonobo,bonobo,,http://docs.bonobo-project.org/en/master/,data-pipelines,,https://github.com/python-bonobo/bonobo,https://github.com/python-bonobo/bonobo,Apache-2.0,2016-12-09 04:03:23.000000,2020-12-11 07:33:03.000000,2019-07-20 13:19:49.000000,110.0,62.0,106.0,1360.0,978.0,2019-05-16 13:19:48.000000,0.6.4,38.0,Extract Transform Load for Python 3.5+.,129.0,105.0,35.0,23,https://pypi.org/project/bonobo,2019-07-20 13:33:19.000000,24.0,2950.0,2950.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n428,Pandaral·lel,nalepae/pandarallel,pandarallel,,,data-containers,\"['pandas', 'jupyter']\",https://github.com/nalepae/pandarallel,https://github.com/nalepae/pandarallel,BSD-3-Clause,2019-03-10 11:58:29.000000,2020-12-16 13:29:31.000000,2020-12-16 13:29:29.000000,89.0,58.0,52.0,1304.0,110.0,2020-08-25 16:33:28.000000,1.5.1,28.0,A simple and efficient tool to parallelize Pandas operations on all availableCPUs.,128.0,128.0,13.0,23,https://pypi.org/project/pandarallel,2020-08-25 16:33:28.000000,,44414.0,44414.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n429,hnswlib,nmslib/hnswlib,hnswlib,,,nn-search,,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000000,2020-12-14 05:10:44.000000,2020-08-18 21:30:59.000000,229.0,80.0,102.0,1275.0,195.0,2020-07-13 04:50:55.000000,0.4.0,3.0,Header-only C++/python library for fast approximate nearest neighbors.,2.0,,32.0,23,https://pypi.org/project/hnswlib,2020-07-13 04:50:55.000000,2.0,12478.0,12478.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n430,MLBox,AxeldeRomblay/MLBox,mlbox,,,hyperopt,,https://github.com/AxeldeRomblay/MLBox,https://github.com/AxeldeRomblay/MLBox,BSD-1-Clause,2017-06-01 16:59:24.000000,2020-11-24 17:57:08.000000,2020-08-25 09:26:27.000000,239.0,10.0,71.0,1168.0,1121.0,2020-08-25 09:32:37.000000,0.8.5,21.0,MLBox is a powerful Automated Machine Learning python library.,19.0,19.0,9.0,23,https://pypi.org/project/mlbox,2020-08-25 09:32:37.000000,,7755.0,7755.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n431,sense2vec,explosion/sense2vec,sense2vec,conda-forge/sense2vec,,nlp,,https://github.com/explosion/sense2vec,https://github.com/explosion/sense2vec,MIT,2016-01-23 22:15:49.000000,2020-12-10 16:03:25.000000,2020-05-29 21:31:20.000000,195.0,15.0,78.0,1131.0,437.0,2019-11-22 17:40:43.000000,1.0.2,17.0,Contextually-keyed word vectors.,53.0,47.0,14.0,23,https://pypi.org/project/sense2vec,2019-11-22 15:49:11.000000,6.0,2327.0,3628.0,https://anaconda.org/conda-forge/sense2vec,2020-03-16 22:19:07.337000,14060.0,True,3,11667.0,,,,,,,,,,,,,,True,,,,,,,,,,,\n432,metric-learn,scikit-learn-contrib/metric-learn,metric-learn,,,others,['sklearn'],https://github.com/scikit-learn-contrib/metric-learn,https://github.com/scikit-learn-contrib/metric-learn,MIT,2013-11-02 08:29:47.000000,2020-08-04 01:35:49.000000,2020-08-04 01:35:39.000000,205.0,47.0,109.0,1086.0,263.0,2020-07-02 12:55:51.000000,0.6.2,10.0,Metric learning algorithms in Python.,122.0,113.0,19.0,23,https://pypi.org/project/metric-learn,2020-07-02 12:59:23.000000,9.0,15354.0,15354.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n433,garage,rlworkgroup/garage,garage,,,reinforcement-learning,['tensorflow'],https://github.com/rlworkgroup/garage,https://github.com/rlworkgroup/garage,MIT,2018-06-10 21:31:23.000000,2020-12-24 01:19:04.000000,2020-12-23 05:19:28.000000,181.0,182.0,766.0,999.0,1185.0,2020-09-17 07:34:11.000000,2020.6.3,21.0,A toolkit for reproducible reinforcement learning research.,13.0,13.0,73.0,23,https://pypi.org/project/garage,2020-10-02 17:16:03.000000,,262.0,262.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n434,modAL,modAL-python/modAL,modAL,,,others,['sklearn'],https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000000,2020-12-09 16:01:00.000000,2020-11-01 08:39:01.000000,163.0,40.0,49.0,980.0,643.0,2020-08-21 06:19:25.000000,0.4.0,11.0,A modular active learning framework for Python.,47.0,43.0,13.0,23,https://pypi.org/project/modAL,2020-11-01 08:48:50.000000,4.0,2302.0,2302.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n435,tensorly,tensorly/tensorly,tensorly,conda-forge/tensorly,,others,,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52.000000,2020-12-27 11:56:17.000000,2020-12-27 11:56:16.000000,186.0,24.0,92.0,920.0,838.0,2020-12-07 20:30:41.000000,0.5.1,16.0,TensorLy: Tensor Learning in Python.,20.0,,38.0,23,https://pypi.org/project/tensorly,2020-12-07 20:30:41.000000,20.0,3155.0,6331.0,https://anaconda.org/conda-forge/tensorly,2020-12-07 22:44:30.386000,98459.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n436,ChainerRL,chainer/chainerrl,chainerrl,,,reinforcement-learning,,https://github.com/chainer/chainerrl,https://github.com/chainer/chainerrl,MIT,2017-01-30 04:58:15.000000,2020-12-09 06:26:53.000000,2020-12-09 06:26:52.000000,206.0,75.0,146.0,919.0,3458.0,2020-02-14 05:35:56.000000,0.8.0,10.0,ChainerRL is a deep reinforcement learning library built on top of Chainer.,102.0,88.0,29.0,23,https://pypi.org/project/chainerrl,2020-02-14 05:35:56.000000,14.0,870.0,870.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n437,luminol,linkedin/luminol,luminol,,,time-series-data,,https://github.com/linkedin/luminol,https://github.com/linkedin/luminol,Apache-2.0,2015-11-18 23:16:33.000000,2020-12-27 09:54:35.000000,2018-01-09 07:46:55.000000,175.0,24.0,12.0,859.0,69.0,2016-01-20 01:01:44.000000,0.3.1,5.0,Anomaly Detection and Correlation library.,49.0,37.0,8.0,23,https://pypi.org/project/luminol,2017-12-11 06:04:15.000000,12.0,147646.0,147646.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n438,keract,philipperemy/keract,keract,,,interpretability,['keras'],https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57.000000,2020-12-22 10:34:40.000000,2020-12-22 10:34:39.000000,172.0,2.0,72.0,838.0,347.0,2020-11-06 08:09:00.000000,4.3.4,36.0,Activation Maps (Layers Outputs) and Gradients in Keras.,68.0,63.0,15.0,23,https://pypi.org/project/keract,2020-12-22 09:35:27.000000,5.0,1362.0,1362.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n439,openTSNE,pavlin-policar/openTSNE,opentsne,conda-forge/opentsne,,data-viz,,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000000,2020-12-21 23:46:42.871000,2020-12-21 21:11:36.000000,81.0,3.0,68.0,731.0,506.0,2020-12-24 11:58:16.000000,0.5.0,18.0,\"Extensible, parallel implementations of t-SNE.\",161.0,157.0,10.0,23,https://pypi.org/project/opentsne,2020-12-21 21:21:52.000000,4.0,13002.0,15967.0,https://anaconda.org/conda-forge/opentsne,2020-12-21 23:46:42.871000,71162.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n440,PySwarms,ljvmiranda921/pyswarms,pyswarms,,,others,,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45.000000,2020-12-21 10:21:06.000000,2020-11-17 09:42:41.000000,228.0,12.0,153.0,695.0,403.0,2020-11-14 05:18:38.000000,.1.2.0,19.0,A research toolkit for particle swarm optimization in Python.,84.0,84.0,42.0,23,https://pypi.org/project/pyswarms,2020-11-14 05:17:27.000000,,6091.0,6091.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n441,GPUtil,anderskm/gputil,gputil,,,gpu-utilities,,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43.000000,2020-10-01 05:42:49.000000,2019-08-16 09:00:15.000000,76.0,10.0,14.0,658.0,140.0,2018-12-18 09:12:13.000000,1.4.0,8.0,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,1009.0,907.0,13.0,23,https://pypi.org/project/gputil,2018-12-18 09:12:13.000000,102.0,53835.0,53835.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n442,scikit-multilearn,scikit-multilearn/scikit-multilearn,scikit-multilearn,,,others,['sklearn'],https://github.com/scikit-multilearn/scikit-multilearn,https://github.com/scikit-multilearn/scikit-multilearn,BSD-2-Clause,2014-04-30 13:05:44.000000,2020-06-30 10:19:46.000000,2019-05-21 11:29:06.000000,118.0,64.0,91.0,615.0,487.0,2018-12-10 16:24:47.000000,0.2.0,6.0,A scikit-learn based module for multi-label et. al. classification.,310.0,307.0,15.0,23,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47.000000,3.0,71141.0,71141.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n443,GeoViews,holoviz/geoviews,geoviews,conda-forge/geoviews,,geospatial-data,,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000000,2020-11-13 20:59:34.000000,2020-09-21 16:31:16.000000,59.0,77.0,169.0,320.0,635.0,2020-09-23 18:59:07.000000,1.8.0,21.0,\"Simple, concise geographical visualization in Python.\",187.0,177.0,21.0,23,https://pypi.org/project/geoviews,2020-03-30 19:17:21.000000,10.0,1478.0,3075.0,https://anaconda.org/conda-forge/geoviews,2020-09-23 20:06:48.808000,52729.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n444,pyhdb,SAP/pyhdb,pyhdb,,,db-clients,,https://github.com/SAP/PyHDB,https://github.com/SAP/PyHDB,Apache-2.0,2014-12-12 04:02:40.000000,2020-12-24 19:33:16.000000,2018-05-24 13:45:41.000000,132.0,50.0,51.0,287.0,155.0,2018-02-16 12:44:36.000000,0.3.4,8.0,SAP HANA Connector in pure Python.,131.0,101.0,10.0,23,https://pypi.org/project/pyhdb,2018-02-16 12:37:13.000000,30.0,67061.0,67061.0,,,,False,3,57.0,,,,,,,,,,,,,,,,,,,,,,,,,\n445,pySBD,nipunsadvilkar/pySBD,pysbd,,,nlp,,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20.000000,2020-12-01 05:37:27.000000,2020-12-01 05:37:25.000000,25.0,4.0,43.0,244.0,274.0,2020-10-08 11:41:09.000000,0.3.3,14.0,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,92.0,90.0,6.0,23,https://pypi.org/project/pysbd,2020-10-08 11:33:56.000000,2.0,12212.0,12212.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n446,TensorFlow Cloud,tensorflow/cloud,tensorflow-cloud,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59.000000,2020-12-25 05:23:27.000000,2020-12-04 18:40:10.000000,41.0,41.0,25.0,209.0,486.0,2020-12-03 20:05:29.000000,0.1.10,13.0,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,8.0,8.0,15.0,23,https://pypi.org/project/tensorflow-cloud,2020-12-03 20:05:29.000000,,489858.0,489858.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n447,Orion,Epistimio/orion,orion,,,hyperopt,,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21.000000,2020-12-27 13:00:31.000000,2020-12-23 03:20:49.000000,35.0,15.0,97.0,178.0,2421.0,2020-12-04 17:08:50.000000,0.1.11,12.0,Asynchronous Distributed Hyperparameter Optimization.,47.0,39.0,18.0,23,https://pypi.org/project/orion,2020-12-04 17:08:50.000000,8.0,1142.0,1142.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n448,py3nvml,fbcotter/py3nvml,py3nvml,conda-forge/py3nvml,,gpu-utilities,,https://github.com/fbcotter/py3nvml,https://github.com/fbcotter/py3nvml,BSD-3-Clause,2016-11-21 01:07:37.000000,2020-10-10 10:41:08.987000,2020-04-23 06:54:42.000000,24.0,2.0,8.0,160.0,79.0,2020-04-06 16:02:10.000000,0.2.6,13.0,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,234.0,214.0,6.0,23,https://pypi.org/project/py3nvml,2020-04-06 16:02:10.000000,20.0,81429.0,82399.0,https://anaconda.org/conda-forge/py3nvml,2020-10-10 10:41:08.987000,10677.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n449,pyexcel-xlsx,pyexcel/pyexcel-xlsx,pyexcel-xlsx,conda-forge/pyexcel-xlsx,,data-loading,,https://github.com/pyexcel/pyexcel-xlsx,https://github.com/pyexcel/pyexcel-xlsx,BSD-3-Clause,2014-12-02 00:03:24.000000,2020-11-28 22:30:58.000000,2020-11-28 22:30:53.000000,16.0,12.0,20.0,83.0,267.0,2020-10-10 13:13:09.000000,0.6.0,30.0,\"A wrapper library to read, manipulate and write data in xlsx and xlsm format using openpyxl.\",1357.0,1047.0,4.0,23,https://pypi.org/project/pyexcel-xlsx,2019-12-28 20:09:57.000000,310.0,39835.0,40219.0,https://anaconda.org/conda-forge/pyexcel-xlsx,2020-10-10 15:53:49.660000,14612.0,False,3,46.0,,,,,,,,,,,,,,,,,,,,,,,,,\n450,Vaex,vaexio/vaex,vaex,conda-forge/vaex,,data-containers,,https://github.com/vaexio/vaex,https://github.com/vaexio/vaex,MIT,2014-09-27 09:44:42.000000,2020-12-24 02:33:47.000000,2020-12-09 10:57:28.000000,419.0,266.0,382.0,5509.0,2898.0,2020-05-25 21:35:34.000000,3.0.0,41.0,\"Out-of-Core DataFrames for Python, ML, visualize and explore big tabular data at a billion rows per second.\",2.0,,35.0,22,https://pypi.org/project/vaex,2020-12-08 16:25:15.000000,2.0,4468.0,6331.0,https://anaconda.org/conda-forge/vaex,2020-06-01 18:35:17.510000,93075.0,True,3,199.0,,,,,,,,,,,,,,,,,,,,,,,,,\n451,Dejavu,worldveil/dejavu,PyDejavu,,,audio,,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35.000000,2020-10-29 17:40:17.000000,2020-06-03 05:58:03.000000,1236.0,83.0,129.0,5267.0,146.0,2015-04-19 21:20:16.000000,0.1.3,4.0,Audio fingerprinting and recognition in Python.,17.0,16.0,23.0,22,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16.000000,1.0,164.0,164.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n452,Face Alignment,1adrianb/face-alignment,face-alignment,,,image,['pytorch'],https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44.000000,2020-12-24 06:51:08.000000,2020-12-22 21:26:46.000000,993.0,29.0,189.0,4569.0,192.0,2020-12-22 21:34:55.000000,1.3.3,9.0,2D and 3D Face alignment library build using pytorch.,6.0,,20.0,22,https://pypi.org/project/face-alignment,2020-12-22 21:34:55.000000,6.0,5481.0,5481.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n453,Image Deduplicator,idealo/imagededup,imagededup,,,image,['tensorflow'],https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54.000000,2020-12-21 13:30:38.000000,2020-11-23 17:40:40.000000,268.0,14.0,50.0,3298.0,460.0,2020-11-23 17:55:24.000000,0.2.4,9.0,Finding duplicate images made easy!.,9.0,8.0,9.0,22,https://pypi.org/project/imagededup,2020-11-22 21:09:36.000000,1.0,2325.0,2325.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n454,ArrayFire,arrayfire/arrayfire,arrayfire,,,gpu-utilities,,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000000,2020-12-23 05:10:33.000000,2020-12-23 05:10:31.000000,450.0,254.0,1193.0,3265.0,5664.0,2020-11-23 16:37:49.000000,3.7.3,29.0,ArrayFire: a general purpose GPU library.,2.0,,80.0,22,https://pypi.org/project/arrayfire,2018-10-18 14:13:29.000000,2.0,500.0,507.0,,,,True,2,486.0,,,,,,,,,,,,,,,,,,,,,,,,,\n455,AdaNet,tensorflow/adanet,adanet,,,hyperopt,['tensorflow'],https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24.000000,2020-07-09 21:03:28.000000,2020-07-09 20:51:04.000000,489.0,63.0,47.0,3216.0,439.0,2020-07-09 20:53:28.000000,0.9.0,13.0,Fast and flexible AutoML with learning guarantees.,35.0,33.0,26.0,22,https://pypi.org/project/adanet,2020-07-09 21:03:28.000000,2.0,689.0,689.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n456,TensorWatch,microsoft/tensorwatch,tensorwatch,,,ml-experiments,,https://github.com/microsoft/tensorwatch,https://github.com/microsoft/tensorwatch,MIT,2019-05-15 08:29:34.000000,2020-12-22 10:51:58.000000,2020-09-16 04:30:11.000000,306.0,48.0,14.0,2991.0,108.0,2020-03-04 07:26:22.000000,0.9.1,14.0,\"Debugging, monitoring and visualization for Python Machine Learning and Data Science.\",48.0,42.0,11.0,22,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22.000000,6.0,1447.0,1447.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n457,analytics-zoo,intel-analytics/analytics-zoo,analytics-zoo,,,distributed-ml,['spark'],https://github.com/intel-analytics/analytics-zoo,https://github.com/intel-analytics/analytics-zoo,Apache-2.0,2017-05-05 02:27:30.000000,2020-12-27 12:02:22.000000,2020-12-27 12:02:21.000000,623.0,423.0,464.0,2154.0,2343.0,2020-12-17 03:25:36.000000,0.9.0,36.0,\"Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray.\",2.0,2.0,81.0,22,https://pypi.org/project/analytics-zoo,2020-12-17 03:25:36.000000,,779.0,779.0,,,,True,3,,,,,,,,,,,,,,,True,,,,,,,,,,,\n458,neuralcoref,huggingface/neuralcoref,neuralcoref,conda-forge/neuralcoref,,nlp,,https://github.com/huggingface/neuralcoref,https://github.com/huggingface/neuralcoref,MIT,2017-07-03 13:04:16.000000,2020-09-07 13:27:18.000000,2020-09-07 13:27:17.000000,373.0,40.0,214.0,2153.0,112.0,2019-04-08 11:28:27.000000,4.0.0,5.0,Fast Coreference Resolution in spaCy with Neural Networks.,277.0,268.0,19.0,22,https://pypi.org/project/neuralcoref,2019-04-08 08:53:12.000000,9.0,3694.0,4250.0,https://anaconda.org/conda-forge/neuralcoref,2020-02-21 22:10:40.453000,5535.0,True,3,160.0,,,,,,,,,,,,,,True,,,,,,,,,,,\n459,Mars,mars-project/mars,pymars,,,others,,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03.000000,2020-12-27 11:58:55.000000,2020-12-25 10:43:14.000000,235.0,119.0,611.0,1966.0,666.0,2020-12-20 16:40:38.000000,0.6.1,67.0,\"Mars is a tensor-based unified framework for large-scale data computation which scales Numpy, Pandas and Scikit-learn.\",3.0,3.0,16.0,22,https://pypi.org/project/pymars,2020-12-20 16:45:18.000000,,4055.0,4055.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n460,PandasGUI,adamerose/pandasgui,pandasgui,,,data-viz,['pandas'],https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT,2019-06-12 02:19:42.000000,2020-12-05 10:18:01.000000,2020-12-05 10:17:52.000000,107.0,10.0,50.0,1906.0,403.0,2020-11-10 17:30:20.000000,0.2.7,37.0,A GUI for Pandas DataFrames.,25.0,24.0,6.0,22,https://pypi.org/project/pandasgui,2020-11-10 17:30:20.000000,1.0,2115.0,2115.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n461,Enigma Catalyst,enigmampc/catalyst,enigma-catalyst,,,financial-data,,https://github.com/enigmampc/catalyst,https://github.com/enigmampc/catalyst,Apache-2.0,2017-06-13 22:31:34.000000,2020-03-12 17:32:54.000000,2018-11-11 19:19:00.000000,568.0,131.0,363.0,1899.0,6360.0,2018-09-13 15:09:58.000000,0.5.21,52.0,An Algorithmic Trading Library for Crypto-Assets in Python.,20.0,20.0,143.0,22,https://pypi.org/project/enigma-catalyst,2018-11-11 16:46:28.000000,,328.0,328.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n462,PyFlux,RJT1990/pyflux,pyflux,,,time-series-data,,https://github.com/RJT1990/pyflux,https://github.com/RJT1990/pyflux,BSD-3-Clause,2016-02-16 20:12:02.000000,2019-03-19 10:45:02.000000,2018-12-16 15:30:13.000000,206.0,79.0,65.0,1837.0,118.0,2017-11-21 16:27:06.000000,0.4.16,35.0,Open source time series library for Python.,179.0,164.0,6.0,22,https://pypi.org/project/pyflux,2017-11-21 16:27:06.000000,15.0,12470.0,12470.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n463,MONAI,Project-MONAI/MONAI,monai,,,medical-data,['pytorch'],https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000000,2020-12-26 22:14:44.000000,2020-12-18 16:21:31.000000,285.0,82.0,564.0,1624.0,696.0,2020-12-15 15:21:13.000000,0.4.0,15.0,AI Toolkit for Healthcare Imaging.,,,48.0,22,https://pypi.org/project/monai,2020-12-15 15:16:56.000000,,3524.0,3524.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n464,STUMPY,TDAmeritrade/stumpy,stumpy,conda-forge/stumpy,,time-series-data,,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000000,2020-12-23 19:03:34.000000,2020-12-23 19:03:22.000000,152.0,29.0,167.0,1616.0,760.0,2020-12-10 18:23:49.000000,1.6.0,14.0,\"STUMPY is a powerful and scalable Python library for computing a Matrix Profile, which can be used for a variety of..\",,,20.0,22,https://pypi.org/project/stumpy,2020-12-10 18:23:49.000000,,15762.0,16510.0,https://anaconda.org/conda-forge/stumpy,2020-12-10 18:52:28.376000,14217.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n465,scattertext,JasonKessler/scattertext,scattertext,conda-forge/scattertext,,nlp,,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12.000000,2020-12-18 17:48:22.333000,2020-12-18 09:53:12.000000,200.0,17.0,51.0,1466.0,335.0,2017-03-13 05:31:21.000000,0.0.2.4.4,127.0,Beautiful visualizations of how language differs among document types.,146.0,138.0,10.0,22,https://pypi.org/project/scattertext,2020-12-14 02:45:48.000000,8.0,3413.0,4472.0,https://anaconda.org/conda-forge/scattertext,2020-12-18 17:48:22.333000,42364.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n466,fast-bert,kaushaltrivedi/fast-bert,fast-bert,,,nlp,,https://github.com/kaushaltrivedi/fast-bert,https://github.com/kaushaltrivedi/fast-bert,Apache-2.0,2019-04-18 22:01:20.000000,2020-12-17 21:05:51.000000,2020-12-17 21:05:43.000000,302.0,137.0,90.0,1463.0,262.0,2020-12-09 21:27:58.000000,1.9.5,40.0,Super easy library for BERT based NLP models.,2.0,,34.0,22,https://pypi.org/project/fast-bert,2020-12-09 21:27:58.000000,2.0,2050.0,2050.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n467,anaGo,Hironsan/anago,anago,,,nlp,['keras'],https://github.com/Hironsan/anago,https://github.com/Hironsan/anago,MIT,2017-06-26 21:28:36.000000,2020-11-13 17:31:18.000000,2019-10-23 03:19:52.000000,347.0,36.0,71.0,1371.0,296.0,2018-06-03 13:51:56.000000,1.0.0,14.0,\"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.\",24.0,24.0,11.0,22,https://pypi.org/project/anago,2018-07-17 01:59:21.000000,,1499.0,1499.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n468,Talos,autonomio/talos,talos,,,hyperopt,['keras'],https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41.000000,2020-11-21 16:37:14.000000,2020-11-21 16:27:04.000000,220.0,41.0,342.0,1346.0,538.0,2020-11-09 16:48:30.000000,1.0,13.0,\"Hyperparameter Optimization for TensorFlow, Keras and PyTorch.\",109.0,103.0,19.0,22,https://pypi.org/project/talos,2020-11-09 16:46:45.000000,6.0,1069.0,1069.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n469,NiftyNet,NifTK/NiftyNet,niftynet,,,medical-data,['tensorflow'],https://github.com/NifTK/NiftyNet,https://github.com/NifTK/NiftyNet,Apache-2.0,2017-08-30 07:55:43.000000,2020-04-21 19:54:52.000000,2020-04-21 19:54:51.000000,373.0,99.0,224.0,1258.0,2848.0,2019-10-09 19:33:30.000000,0.6.0,11.0,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,33.0,33.0,58.0,22,https://pypi.org/project/niftynet,2019-10-10 10:59:33.000000,,257.0,257.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n470,EfficientNets,rwightman/gen-efficientnet-pytorch,geffnet,,,pytorch-utils,['pytorch'],https://github.com/rwightman/gen-efficientnet-pytorch,https://github.com/rwightman/gen-efficientnet-pytorch,Apache-2.0,2019-05-11 19:35:56.000000,2020-11-30 05:51:08.000000,2020-11-30 05:49:27.000000,163.0,,46.0,1217.0,106.0,2020-08-20 19:55:21.000000,1.0.0,9.0,\"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.\",27.0,27.0,5.0,22,https://pypi.org/project/geffnet,2020-08-20 19:55:21.000000,,1193.0,1193.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n471,pandasql,yhat/pandasql,pandasql,,,data-containers,['pandas'],https://github.com/yhat/pandasql,https://github.com/yhat/pandasql,MIT,2013-02-18 01:53:56.000000,2020-08-14 13:00:13.000000,2017-02-01 15:40:30.000000,141.0,44.0,23.0,926.0,127.0,2016-04-20 21:52:36.000000,0.7.3,31.0,sqldf for pandas.,643.0,594.0,15.0,22,https://pypi.org/project/pandasql,2016-04-20 21:52:36.000000,49.0,203072.0,203072.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n472,bt,pmorissette/bt,bt,,,financial-data,,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28.000000,2020-12-18 00:48:18.000000,2020-12-18 00:48:17.000000,246.0,54.0,158.0,910.0,370.0,2018-05-28 17:12:46.000000,0.2.7,23.0,bt - flexible backtesting for Python.,60.0,40.0,20.0,22,https://pypi.org/project/bt,2018-05-28 17:12:46.000000,20.0,3642.0,3642.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n473,spacy-transformers,explosion/spacy-transformers,spacy-transformers,,,nlp,['spacy'],https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000000,2020-12-18 09:05:48.000000,2020-12-17 14:45:54.000000,97.0,48.0,131.0,856.0,1235.0,2020-06-29 12:10:14.000000,0.6.2,33.0,\"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.\",68.0,65.0,14.0,22,https://pypi.org/project/spacy-transformers,2020-10-14 12:35:57.000000,3.0,7342.0,7342.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n474,Alibi,SeldonIO/alibi,alibi,,,interpretability,,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Apache-2.0,2019-02-26 10:10:56.000000,2020-12-03 14:50:46.000000,2020-12-02 15:42:16.000000,99.0,62.0,72.0,817.0,226.0,2020-10-20 14:14:29.000000,0.5.5,15.0,Algorithms for monitoring and explaining machine learning models.,62.0,53.0,11.0,22,https://pypi.org/project/alibi,2020-10-20 14:13:40.000000,9.0,3132.0,3132.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n475,Neural Structured Learning,tensorflow/neural-structured-learning,neural-structured-learning,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/neural-structured-learning,https://github.com/tensorflow/neural-structured-learning,Apache-2.0,2019-08-27 21:48:16.000000,2020-12-24 17:07:59.000000,2020-12-14 18:50:13.000000,135.0,5.0,38.0,757.0,344.0,2020-08-18 00:30:03.000000,1.3.1,7.0,Training neural models with structured signals.,15.0,15.0,25.0,22,https://pypi.org/project/neural-structured-learning,2020-08-18 00:35:35.000000,,2360.0,2360.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n476,FinTA,peerchemist/finta,finta,,,financial-data,,https://github.com/peerchemist/finta,https://github.com/peerchemist/finta,LGPL-3.0,2016-09-01 21:02:46.000000,2020-12-17 13:15:00.000000,2020-11-04 21:30:11.000000,276.0,7.0,58.0,755.0,364.0,2020-10-21 11:36:19.000000,1.2,19.0,Common financial technical indicators implemented in Pandas.,53.0,51.0,21.0,22,https://pypi.org/project/finta,2020-10-21 11:39:44.000000,2.0,3003.0,3003.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n477,Explainability 360,Trusted-AI/AIX360,aix360,,,interpretability,,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48.000000,2020-12-04 16:51:14.000000,2020-12-04 16:49:39.000000,160.0,26.0,18.0,744.0,305.0,2020-10-28 09:32:21.000000,0.2.1,4.0,Interpretability and explainability of data and machine learning models.,13.0,12.0,27.0,22,https://pypi.org/project/aix360,2020-10-28 09:18:17.000000,1.0,565.0,565.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n478,AstroML,astroML/astroML,astroML,conda-forge/astroml,,others,['sklearn'],https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50.000000,2020-09-09 15:52:15.000000,2020-09-09 15:52:13.000000,246.0,48.0,80.0,703.0,508.0,2019-10-02 06:32:58.000000,0.4.1,10.0,\"Machine learning, statistics, and data mining for astronomy and astrophysics.\",187.0,158.0,29.0,22,https://pypi.org/project/astroML,2020-03-23 23:20:49.000000,29.0,632.0,1159.0,https://anaconda.org/conda-forge/astroml,2020-02-16 04:18:54.678000,21117.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n479,gmaps,pbugnion/gmaps,gmaps,conda-forge/gmaps,,geospatial-data,['jupyter'],https://github.com/pbugnion/gmaps,https://github.com/pbugnion/gmaps,BSD-3-Clause,2014-12-01 09:12:06.000000,2020-10-13 07:09:18.000000,2019-07-22 06:22:45.000000,141.0,63.0,135.0,691.0,1380.0,2019-07-21 08:49:48.715000,0.9.0,93.0,Google maps for Jupyter notebooks.,38.0,1.0,16.0,22,https://pypi.org/project/gmaps,2019-07-20 07:47:04.000000,37.0,3259.0,9368.0,https://anaconda.org/conda-forge/gmaps,2019-08-02 11:56:50.940000,200007.0,False,3,,,,,,,,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715000,,1458.0,,,,,,,,,,,,,\n480,TreeInterpreter,andosa/treeinterpreter,treeinterpreter,,,interpretability,['sklearn'],https://github.com/andosa/treeinterpreter,https://github.com/andosa/treeinterpreter,BSD-3-Clause,2015-08-02 20:26:21.000000,2020-10-03 02:17:19.000000,2020-06-22 18:40:46.000000,127.0,18.0,1.0,630.0,34.0,2018-12-16 14:02:34.000000,0.2.2,4.0,Package for interpreting scikit-learn's decision tree and random forest predictions.,113.0,109.0,10.0,22,https://pypi.org/project/treeinterpreter,2018-12-16 14:02:34.000000,4.0,68988.0,68988.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n481,Node2Vec,eliorc/node2vec,node2vec,conda-forge/node2vec,,graph,,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000000,2020-11-28 08:59:52.000000,2020-11-28 08:54:36.000000,159.0,1.0,46.0,607.0,44.0,2020-11-28 08:59:52.000000,0.4.0,12.0,Implementation of the node2vec algorithm.,110.0,105.0,6.0,22,https://pypi.org/project/node2vec,2020-11-28 08:57:22.000000,5.0,5315.0,5806.0,https://anaconda.org/conda-forge/node2vec,2020-04-25 22:41:13.714000,15232.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n482,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,pandas-bokeh,,,data-viz,['pandas'],https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14.000000,2020-11-27 08:30:55.000000,2020-11-27 08:28:43.000000,74.0,20.0,51.0,590.0,259.0,2020-11-27 08:29:09.000000,0.5.2,13.0,Bokeh Plotting Backend for Pandas and GeoPandas.,125.0,115.0,11.0,22,https://pypi.org/project/pandas-bokeh,2020-11-27 08:30:55.000000,10.0,7420.0,7420.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n483,Prince,MaxHalford/prince,prince,,,others,['sklearn'],https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000000,2020-10-06 11:48:49.000000,2020-10-06 11:26:04.000000,108.0,24.0,64.0,546.0,178.0,2020-10-06 11:26:47.000000,0.7.1,41.0,\"Python factor analysis library (PCA, CA, MCA, MFA, FAMD).\",99.0,96.0,9.0,22,https://pypi.org/project/prince,2020-10-06 11:26:47.000000,3.0,5441.0,5441.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n484,Sentinelsat,sentinelsat/sentinelsat,sentinelsat,,,geospatial-data,,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26.000000,2020-12-27 15:07:43.000000,2020-11-10 08:08:09.000000,162.0,29.0,204.0,528.0,769.0,2020-06-12 07:15:51.000000,0.14,36.0,Search and download Copernicus Sentinel satellite images.,176.0,154.0,33.0,22,https://pypi.org/project/sentinelsat,2020-06-12 07:08:37.000000,22.0,8223.0,8226.0,,,,False,3,186.0,,,,,,,,,,,,,,,,,,,,,,,,,\n485,PDPbox,SauceCat/PDPbox,pdpbox,conda-forge/pdpbox,,data-viz,,https://github.com/SauceCat/PDPbox,https://github.com/SauceCat/PDPbox,MIT,2017-06-26 08:01:54.000000,2019-07-17 16:58:38.379000,2018-12-08 10:06:13.000000,80.0,35.0,17.0,518.0,223.0,2018-07-23 13:33:35.000000,0.2.0,2.0,python partial dependence plot toolbox.,286.0,286.0,7.0,22,https://pypi.org/project/pdpbox,2018-07-23 13:33:35.000000,,46591.0,46907.0,https://anaconda.org/conda-forge/pdpbox,2019-07-17 16:58:38.379000,5378.0,False,3,,,,,,,,,,,,,,,True,,,,,,,,,,,\n486,Guild AI,guildai/guildai,guildai,,,ml-experiments,,https://github.com/guildai/guildai,https://github.com/guildai/guildai,Apache-2.0,2017-09-27 18:57:50.000000,2020-12-20 15:28:02.000000,2020-12-16 16:04:43.000000,44.0,93.0,143.0,514.0,4169.0,2020-12-05 17:36:38.000000,0.7.1,156.0,\"Experiment tracking, ML developer tools.\",25.0,25.0,16.0,22,https://pypi.org/project/guildai,2020-12-17 00:49:11.000000,,4958.0,4958.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n487,vega,vega/ipyvega,vega,conda-forge/vega,,data-viz,['jupyter'],https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000000,2020-12-21 11:09:06.000000,2020-12-21 11:09:04.000000,46.0,8.0,79.0,291.0,463.0,2020-05-15 23:40:02.000000,3.4.0,37.0,IPython/Jupyter notebook module for Vega and Vega-Lite.,148.0,,9.0,22,https://pypi.org/project/vega,2020-05-15 23:40:02.000000,148.0,6896.0,13799.0,https://anaconda.org/conda-forge/vega,2020-12-10 15:03:57.175000,372764.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n488,SDV,sdv-dev/SDV,sdv,,,data-loading,,https://github.com/sdv-dev/SDV,https://github.com/sdv-dev/SDV,MIT,2018-05-11 15:56:50.000000,2020-12-22 17:55:30.000000,2020-12-22 17:26:53.000000,52.0,40.0,126.0,290.0,745.0,2020-12-22 17:27:36.000000,0.6.0,33.0,\"Synthetic Data Generation for tabular, relational and time series data.\",12.0,12.0,32.0,22,https://pypi.org/project/sdv,2020-12-22 17:26:49.000000,0.0,1477.0,1477.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n489,pyvips,libvips/pyvips,pyvips,conda-forge/pyvips,,image,,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000000,2020-12-24 12:07:38.000000,2020-12-24 12:07:37.000000,25.0,67.0,128.0,282.0,388.0,2020-12-18 11:44:57.000000,2.1.14,20.0,python binding for libvips using cffi.,152.0,130.0,10.0,22,https://pypi.org/project/pyvips,2020-12-18 11:44:57.000000,22.0,4128.0,4490.0,https://anaconda.org/conda-forge/pyvips,2020-10-14 10:02:33.542000,5807.0,True,3,,,,,,,,,,,,,,,True,,,,,,,,,,,\n490,pysparkling,svenkreiss/pysparkling,pysparkling,,,data-pipelines,,https://github.com/svenkreiss/pysparkling,https://github.com/svenkreiss/pysparkling,MIT,2015-05-09 19:23:20.000000,2020-11-02 11:37:56.000000,2020-11-02 11:37:55.000000,43.0,2.0,20.0,233.0,1506.0,2019-07-13 07:23:04.000000,0.6.0,67.0,A pure Python implementation of Apache Spark's RDD and DStream interfaces.,61.0,54.0,9.0,22,https://pypi.org/project/pysparkling,2019-07-13 07:23:04.000000,7.0,6401.0,6401.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n491,SUOD,yzhao062/SUOD,suod,,,others,,https://github.com/yzhao062/SUOD,https://github.com/yzhao062/SUOD,BSD-2-Clause,2019-11-20 00:23:54.000000,2020-12-27 15:42:39.000000,2020-12-27 15:42:34.000000,26.0,4.0,,222.0,122.0,2020-04-20 19:41:31.000000,0.0.4,5.0,An Acceleration System for Large-scale Outlier Detection (Anomaly Detection).,220.0,220.0,1.0,22,https://pypi.org/project/suod,2020-04-20 19:41:31.000000,,91016.0,91016.0,,,,True,3,,,,,,,,,,,,,,,True,,,,,,,,,,,\n492,EarthPy,earthlab/earthpy,earthpy,conda-forge/earthpy,,geospatial-data,,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000000,2020-12-24 20:03:33.000000,2020-12-03 23:03:15.000000,90.0,22.0,199.0,213.0,1066.0,2020-06-18 23:58:08.000000,0.9.2,22.0,A package built to support working with spatial data using open source python.,75.0,72.0,38.0,22,https://pypi.org/project/earthpy,2020-06-18 23:58:08.000000,3.0,1975.0,3254.0,https://anaconda.org/conda-forge/earthpy,2020-06-19 15:23:44.425000,25599.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n493,beautifulsoup4,,beautifulsoup4,conda-forge/beautifulsoup4,,web-scraping,,,http://www.crummy.com/software/BeautifulSoup/bs4/,MIT,2017-02-22 14:59:00.739000,2020-10-03 17:19:11.351000,,,,,,,2020-10-03 15:37:19.000000,4.9.3,33.0,Screen-scraping library.,61666.0,,,22,https://pypi.org/project/beautifulsoup4,2020-10-03 15:37:19.000000,61666.0,9475509.0,9544851.0,https://anaconda.org/conda-forge/beautifulsoup4,2020-10-03 17:19:11.351000,3189741.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n494,Recommenders,microsoft/recommenders,,,,recommender-systems,,https://github.com/microsoft/recommenders,https://github.com/microsoft/recommenders,MIT,2018-09-19 10:06:07.000000,2020-12-22 09:36:22.000000,2020-11-27 17:04:52.000000,1486.0,102.0,425.0,8870.0,6206.0,2020-08-20 15:11:46.000000,2020.8,6.0,Best Practices on Recommendation Systems.,1.0,1.0,86.0,21,,,,,,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n495,cortex,cortexlabs/cortex,cortex,,,model-serialisation,,https://github.com/cortexlabs/cortex,https://github.com/cortexlabs/cortex,Apache-2.0,2019-01-24 04:43:14.000000,2020-12-25 21:19:39.000000,2020-12-25 20:48:15.000000,540.0,197.0,654.0,7140.0,1747.0,2020-12-23 06:28:31.000000,0.25.0,43.0,Run inference at scale.,0.0,,18.0,21,https://pypi.org/project/cortex,2020-12-23 06:21:32.000000,0.0,801.0,801.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n496,mace,XiaoMi/mace,,,,ml-frameworks,,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12.000000,2020-12-23 12:23:52.000000,2020-12-23 10:07:32.000000,744.0,37.0,580.0,4249.0,3078.0,2020-12-23 12:23:52.000000,1.0.1,8.0,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,,,54.0,21,,,,,45.0,,,,True,3,1277.0,,,,,,,,,,,,,,,,,,,,,,,,,\n497,MMF,facebookresearch/mmf,mmf,,,image,['pytorch'],https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40.000000,2020-12-18 19:30:44.000000,2020-12-18 19:26:49.000000,587.0,90.0,315.0,4011.0,755.0,2019-08-26 19:04:21.000000,0.3.1,11.0,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,6.0,6.0,50.0,21,https://pypi.org/project/mmf,2020-06-11 16:09:52.000000,,251.0,251.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n498,MatchZoo,NTMC-Community/MatchZoo,matchzoo,,,nlp,['keras'],https://github.com/NTMC-Community/MatchZoo,https://github.com/NTMC-Community/MatchZoo,Apache-2.0,2017-06-08 08:55:22.000000,2020-06-17 07:27:59.000000,2019-10-24 13:10:07.000000,858.0,26.0,427.0,3306.0,1808.0,2019-10-24 13:09:11.000000,2.2.0,5.0,\"Facilitating the design, comparison and sharing of deep text matching models.\",9.0,9.0,35.0,21,https://pypi.org/project/matchzoo,2019-10-24 13:09:11.000000,,321.0,321.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n499,NLP Architect,IntelLabs/nlp-architect,nlp-architect,,,nlp,,https://github.com/IntelLabs/nlp-architect,https://github.com/IntelLabs/nlp-architect,Apache-2.0,2018-05-17 21:00:13.000000,2020-12-25 04:00:43.000000,2020-11-26 15:35:15.000000,394.0,16.0,103.0,2564.0,946.0,2020-11-17 12:32:37.000000,0.5.5.1,13.0,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,6.0,6.0,35.0,21,https://pypi.org/project/nlp-architect,2020-04-12 11:34:38.000000,,272.0,272.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n500,Image Super-Resolution,idealo/image-super-resolution,ISR,,,image,['tensorflow'],https://github.com/idealo/image-super-resolution,https://github.com/idealo/image-super-resolution,Apache-2.0,2018-11-26 13:41:13.000000,2020-11-11 15:09:20.000000,2020-11-11 15:09:19.000000,454.0,46.0,95.0,2372.0,138.0,2020-01-08 15:37:35.000000,2.2.0,11.0,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,39.0,35.0,9.0,21,https://pypi.org/project/ISR,2020-01-08 15:37:35.000000,4.0,2728.0,2732.0,,,,True,3,,,,idealo/image-super-resolution-gpu,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,,112.0,,,,,,,,,,,,,,,,,,\n501,tensorflow-graphics,tensorflow/graphics,tensorflow-graphics,,,image,['tensorflow'],https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44.000000,2020-12-27 02:09:59.000000,2020-10-30 10:26:19.000000,262.0,87.0,81.0,2368.0,566.0,2020-05-20 19:56:41.000000,2020.5.20,21.0,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,3.0,,30.0,21,https://pypi.org/project/tensorflow-graphics,2020-05-20 19:56:41.000000,3.0,848.0,848.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n502,Luminoth,tryolabs/luminoth,luminoth,,,image,['tensorflow'],https://github.com/tryolabs/luminoth,https://github.com/tryolabs/luminoth,BSD-3-Clause,2017-02-16 15:07:46.000000,2020-12-24 21:01:24.000000,2020-01-07 20:53:25.000000,401.0,50.0,127.0,2332.0,838.0,2018-10-31 22:19:52.000000,0.2.3,10.0,Deep Learning toolkit for Computer Vision.,27.0,27.0,15.0,21,https://pypi.org/project/luminoth,2018-11-09 21:35:17.000000,,547.0,838.0,,,,True,3,11085.0,,,,,,,,,,,,,,,,,,,,,,,,,\n503,NeMo,NVIDIA/NeMo,nemo-toolkit,,,nlp,['pytorch'],https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000000,2020-12-27 14:29:32.000000,2020-12-26 04:18:17.000000,356.0,159.0,234.0,2271.0,,2020-07-10 00:01:18.000000,0.11.0,36.0,NeMo: a toolkit for conversational AI.,4.0,,67.0,21,https://pypi.org/project/nemo-toolkit,2020-12-11 21:33:53.000000,4.0,2028.0,2075.0,,,,True,3,713.0,,,,,,,,,,,,,,,,,,,,,,,,,\n504,Porcupine,Picovoice/Porcupine,pvporcupine,,,audio,,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000000,2020-12-24 00:28:35.000000,2020-12-24 00:28:34.000000,323.0,8.0,260.0,2265.0,334.0,2020-12-02 15:34:40.000000,1.9,13.0,On-device wake word detection powered by deep learning.,4.0,4.0,25.0,21,https://pypi.org/project/pvporcupine,2020-10-02 19:16:49.000000,0.0,832.0,832.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n505,DeepVariant,google/deepvariant,,bioconda/deepvariant,,medical-data,['tensorflow'],https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000000,2020-12-14 23:35:28.000000,2020-12-14 23:35:27.000000,520.0,3.0,362.0,2143.0,1503.0,2020-12-07 17:56:31.000000,1.1.0,15.0,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,,,19.0,21,,,,,815.0,https://anaconda.org/bioconda/deepvariant,2020-09-05 07:25:11.429000,25691.0,True,3,2948.0,,,,,,,,,,,,,,,,,,,,,,,,,\n506,Texar,asyml/texar,texar,,,nlp,['tensorflow'],https://github.com/asyml/texar,https://github.com/asyml/texar,Apache-2.0,2017-07-22 19:02:05.000000,2020-09-17 07:03:55.000000,2020-07-29 00:38:30.000000,327.0,32.0,126.0,2074.0,1719.0,2019-11-19 04:11:18.000000,0.2.4,6.0,\"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the..\",14.0,12.0,41.0,21,https://pypi.org/project/texar,2019-11-19 04:11:18.000000,2.0,84.0,84.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n507,TensorTrade,tensortrade-org/tensortrade,tensortrade,,,financial-data,,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32.000000,2020-12-24 21:46:20.000000,2020-12-20 18:27:19.000000,533.0,33.0,114.0,2026.0,838.0,,,25.0,\"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.\",10.0,9.0,44.0,21,https://pypi.org/project/tensortrade,2020-08-24 18:26:46.000000,1.0,724.0,724.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n508,Texthero,jbesomi/texthero,texthero,,,nlp,,https://github.com/jbesomi/texthero,https://github.com/jbesomi/texthero,MIT,2020-04-06 15:16:05.000000,2020-12-09 16:49:27.000000,2020-11-03 07:58:36.000000,177.0,73.0,47.0,2014.0,267.0,2020-07-06 20:32:28.000000,1.0.9,9.0,\"Text preprocessing, representation and visualization from zero to hero.\",,,18.0,21,https://pypi.org/project/texthero,2020-07-06 20:29:25.000000,,3140.0,3147.0,,,,True,3,57.0,,,,,,,,,,,,,,,,,,,,,,,,,\n509,TF Ranking,tensorflow/ranking,tensorflow_ranking,,,recommender-systems,['tensorflow'],https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57.000000,2020-08-29 04:38:20.000000,2020-08-19 20:44:22.000000,351.0,22.0,193.0,1994.0,213.0,2020-08-19 21:58:05.000000,0.3.2,14.0,Learning to Rank in TensorFlow.,1.0,,17.0,21,https://pypi.org/project/tensorflow_ranking,2020-08-19 21:14:13.000000,1.0,21353.0,21353.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n510,knockknock,huggingface/knockknock,knockknock,conda-forge/knockknock,,ml-experiments,,https://github.com/huggingface/knockknock,https://github.com/huggingface/knockknock,MIT,2019-03-20 13:08:55.000000,2020-07-31 11:55:05.000000,2020-03-16 04:26:47.000000,152.0,12.0,21.0,1909.0,75.0,2020-03-04 04:15:47.000000,0.1.8,10.0,Knock Knock: Get notified when your training ends with only two additional lines of code.,123.0,120.0,18.0,21,https://pypi.org/project/knockknock,2020-03-16 14:30:23.000000,3.0,1227.0,1598.0,https://anaconda.org/conda-forge/knockknock,2020-03-17 01:52:16.317000,5203.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n511,cleanlab,cgnorthcutt/cleanlab,cleanlab,,,others,,https://github.com/cgnorthcutt/cleanlab,https://github.com/cgnorthcutt/cleanlab,MIT,2018-05-11 01:55:21.000000,2020-12-11 06:18:10.000000,2020-12-11 06:18:09.000000,149.0,16.0,35.0,1385.0,695.0,2020-02-17 07:33:06.000000,0.1.1,15.0,The standard package for machine learning with noisy labels and finding mislabeled data in Python.,8.0,8.0,5.0,21,https://pypi.org/project/cleanlab,2020-02-17 07:33:06.000000,,2099.0,2099.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n512,Magnitude,plasticityai/magnitude,pymagnitude,,,nn-search,,https://github.com/plasticityai/magnitude,https://github.com/plasticityai/magnitude,MIT,2018-02-24 07:28:16.000000,2020-07-17 20:19:50.000000,2020-07-17 20:19:46.000000,97.0,24.0,50.0,1371.0,350.0,2020-05-25 11:26:36.000000,0.1.143,128.0,\"A fast, efficient universal vector embedding utility package.\",181.0,167.0,4.0,21,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36.000000,14.0,5538.0,5538.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n513,DELTA,Delta-ML/delta,delta-nlp,,,nlp,['tensorflow'],https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57.000000,2020-12-26 16:46:39.804522,2020-12-17 06:57:15.000000,269.0,9.0,64.0,1353.0,932.0,2020-07-16 09:31:45.000000,0.3.3,4.0,DELTA is a deep learning based natural language and speech processing platform.,,,41.0,21,https://pypi.org/project/delta-nlp,2020-03-27 04:46:19.000000,,31.0,641.0,,,,True,3,,,,zh794390558/delta,https://hub.docker.com/r/zh794390558/delta,2020-12-26 16:46:39.804522,,11606.0,,,,,,,,,,,,,,,,,,\n514,TensorFlow Privacy,tensorflow/privacy,tensorflow-privacy,,,privacy-ml,['tensorflow'],https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000000,2020-12-23 18:14:40.000000,2020-12-23 18:14:36.000000,259.0,39.0,74.0,1290.0,427.0,2020-09-03 01:13:47.000000,.0.5.1,9.0,Library for training machine learning models with privacy for training data.,1.0,,33.0,21,https://pypi.org/project/tensorflow-privacy,2020-09-03 01:10:15.000000,1.0,4435.0,4437.0,,,,True,2,41.0,,,,,,,,,,,,,,,,,,,,,,,,,\n515,Neural Tangents,google/neural-tangents,neural-tangents,,,ml-frameworks,,https://github.com/google/neural-tangents,https://github.com/google/neural-tangents,Apache-2.0,2019-04-08 16:48:48.000000,2020-12-24 19:57:36.000000,2020-12-24 19:57:28.000000,135.0,28.0,47.0,1250.0,340.0,2020-11-18 04:34:54.000000,0.3.5,19.0,Fast and Easy Infinite Neural Networks in Python.,12.0,12.0,16.0,21,https://pypi.org/project/neural-tangents,2020-11-18 04:23:35.000000,,675.0,685.0,,,,True,3,65.0,,,,,,,,,,,,,,,,,,,,,,,,,\n516,Pypeline,cgarciae/pypeln,pypeln,,,data-pipelines,,https://github.com/cgarciae/pypeln,https://github.com/cgarciae/pypeln,MIT,2018-09-01 13:43:31.000000,2020-11-14 00:02:17.000000,2020-11-13 23:36:42.000000,64.0,11.0,34.0,1183.0,227.0,2020-10-11 21:02:19.000000,0.4.6,33.0,Concurrent data pipelines in Python .,5.0,,8.0,21,https://pypi.org/project/pypeln,2020-10-11 21:01:30.000000,5.0,2394.0,2394.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n517,Torchmeta,tristandeleu/pytorch-meta,torchmeta,,,pytorch-utils,['pytorch'],https://github.com/tristandeleu/pytorch-meta,https://github.com/tristandeleu/pytorch-meta,MIT,2018-12-04 23:36:45.000000,2020-11-25 16:45:01.000000,2020-11-25 16:41:48.000000,129.0,19.0,69.0,1153.0,341.0,2020-11-25 16:45:01.000000,1.6.1,26.0,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.,23.0,23.0,10.0,21,https://pypi.org/project/torchmeta,2020-11-25 16:45:01.000000,,614.0,614.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n518,tensorrec,jfkirk/tensorrec,tensorrec,,,recommender-systems,['tensorflow'],https://github.com/jfkirk/tensorrec,https://github.com/jfkirk/tensorrec,Apache-2.0,2017-02-28 18:51:11.000000,2020-07-30 02:47:12.000000,2020-02-04 21:10:25.000000,205.0,32.0,90.0,1112.0,334.0,2019-04-02 00:53:47.000000,0.26.2,30.0,A TensorFlow recommendation algorithm and framework in Python.,23.0,22.0,8.0,21,https://pypi.org/project/tensorrec,2019-04-02 00:53:47.000000,1.0,1144.0,1144.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n519,Skater,oracle/Skater,skater,conda-forge/skater,,interpretability,,https://github.com/oracle/Skater,https://github.com/oracle/Skater,UPL-1.0,2017-01-26 05:45:42.000000,2020-11-01 15:57:12.273000,2020-06-29 20:07:12.000000,156.0,62.0,97.0,955.0,1101.0,2018-09-21 07:03:32.000000,1.1.2,23.0,Python Library for Model Interpretation/Explanations.,,,34.0,21,https://pypi.org/project/skater,2018-09-21 07:03:32.000000,,7415.0,8177.0,https://anaconda.org/conda-forge/skater,2020-11-01 15:57:12.273000,32019.0,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n520,attention-ocr,emedvedev/attention-ocr,aocr,,,ocr,['tensorflow'],https://github.com/emedvedev/attention-ocr,https://github.com/emedvedev/attention-ocr,MIT,2017-07-21 18:35:19.000000,2020-10-31 19:40:20.000000,2020-10-31 19:40:19.000000,225.0,16.0,125.0,822.0,196.0,2020-10-12 06:56:40.000000,0.7.6,21.0,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,15.0,15.0,27.0,21,https://pypi.org/project/aocr,2019-04-19 05:28:27.000000,,139.0,139.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n521,TFEncrypted,tf-encrypted/tf-encrypted,tf-encrypted,,,privacy-ml,['tensorflow'],https://github.com/tf-encrypted/tf-encrypted,https://github.com/tf-encrypted/tf-encrypted,Apache-2.0,2018-03-21 18:22:13.000000,2020-11-19 15:48:03.000000,2020-08-19 16:56:56.000000,133.0,162.0,230.0,805.0,595.0,2019-09-27 20:00:01.000000,0.5.9,35.0,A Framework for Encrypted Machine Learning in TensorFlow.,54.0,46.0,28.0,21,https://pypi.org/project/tf-encrypted,2019-10-21 18:05:53.000000,8.0,529.0,529.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n522,scikit-cuda,lebedov/scikit-cuda,scikit-cuda,,,gpu-utilities,,https://github.com/lebedov/scikit-cuda,https://github.com/lebedov/scikit-cuda,BSD-3-Clause,2010-09-27 02:02:07.000000,2020-07-13 12:48:39.000000,2020-07-13 12:47:46.000000,154.0,36.0,163.0,786.0,1026.0,2019-05-27 00:29:00.000000,0.5.3,7.0,Python interface to GPU-powered libraries.,143.0,112.0,44.0,21,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00.000000,31.0,660.0,660.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n523,tf-explain,sicara/tf-explain,tf-explain,,,interpretability,['tensorflow'],https://github.com/sicara/tf-explain,https://github.com/sicara/tf-explain,MIT,2019-07-15 08:26:24.000000,2020-11-03 07:30:20.000000,2020-07-24 08:03:58.000000,66.0,33.0,41.0,745.0,192.0,2020-02-14 09:00:00.000000,0.2.1,6.0,Interpretability Methods for tf.keras models with Tensorflow 2.x.,57.0,56.0,11.0,21,https://pypi.org/project/tf-explain,2020-02-14 09:04:51.000000,1.0,1133.0,1133.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n524,Darts,unit8co/darts,u8darts,,,time-series-data,,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000000,2020-12-25 19:49:15.000000,2020-11-09 15:33:02.000000,81.0,15.0,40.0,677.0,284.0,2020-11-09 16:00:41.000000,0.5.0,8.0,A python library for easy manipulation and forecasting of time series.,10.0,10.0,23.0,21,https://pypi.org/project/u8darts,2020-11-09 16:00:41.000000,,1001.0,1003.0,,,,True,3,,,,unit8/darts,https://hub.docker.com/r/unit8/darts,2020-10-06 11:35:55.085411,,75.0,,,,,,,,,,,,,,,,,,\n525,ogb,snap-stanford/ogb,ogb,,,graph,,https://github.com/snap-stanford/ogb,https://github.com/snap-stanford/ogb,MIT,2019-11-22 22:13:57.000000,2020-12-26 08:33:17.000000,2020-10-29 19:13:11.000000,91.0,2.0,84.0,673.0,375.0,2020-09-12 19:08:09.000000,1.2.3,8.0,\"Benchmark datasets, data loaders, and evaluators for graph machine learning.\",36.0,36.0,12.0,21,https://pypi.org/project/ogb,2020-08-12 06:23:06.000000,,1574.0,1574.0,,,,True,2,,,,,,,,,,,,,,,True,,,,,,,,,,,\n526,TensorBoard Logger,TeamHG-Memex/tensorboard_logger,tensorboard_logger,,,ml-experiments,,https://github.com/TeamHG-Memex/tensorboard_logger,https://github.com/TeamHG-Memex/tensorboard_logger,MIT,2016-10-27 14:02:25.000000,2020-10-27 20:51:06.000000,2019-10-21 07:52:07.000000,52.0,9.0,15.0,609.0,46.0,2018-02-08 07:28:51.000000,0.1.0,5.0,Log TensorBoard events without touching TensorFlow.,42.0,,5.0,21,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51.000000,42.0,62099.0,62099.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n527,pickleDB,patx/pickledb,pickledb,,,data-containers,,https://github.com/patx/pickledb,https://github.com/patx/pickledb,BSD-3-Clause,2011-10-28 00:04:40.000000,2020-08-25 09:47:52.000000,2019-11-15 03:38:30.000000,91.0,16.0,39.0,526.0,105.0,2019-01-13 22:40:32.000000,0.9.1,19.0,pickleDB is an open source key-value store using Python's json module.,524.0,422.0,11.0,21,https://pypi.org/project/pickledb,2019-01-13 22:40:32.000000,102.0,16945.0,16945.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n528,alibi-detect,SeldonIO/alibi-detect,alibi-detect,,,others,,https://github.com/SeldonIO/alibi-detect,https://github.com/SeldonIO/alibi-detect,Apache-2.0,2019-10-07 13:29:13.000000,2020-12-23 10:50:37.000000,2020-12-23 10:50:36.000000,50.0,28.0,41.0,435.0,306.0,2020-12-23 10:49:47.000000,0.4.4,9.0,\"Algorithms for outlier and adversarial instance detection, concept drift and metrics.\",17.0,16.0,6.0,21,https://pypi.org/project/alibi-detect,2020-10-08 09:57:19.000000,1.0,1119.0,1119.0,,,,True,3,,,,,,,,,,,,,,,True,,,,,,,,,,,\n529,Studio.ml,studioml/studio,studioml,,,ml-experiments,,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28.000000,2020-12-17 01:37:51.000000,2020-12-17 01:27:05.000000,47.0,57.0,187.0,367.0,2309.0,2020-12-17 01:37:51.000000,0.0.36,171.0,Studio: Simplify and expedite model building process.,2.0,2.0,21.0,21,https://pypi.org/project/studioml,2020-12-17 01:37:51.000000,,1277.0,1277.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n530,Pandas Summary,mouradmourafiq/pandas-summary,pandas-summary,,,data-containers,['pandas'],https://github.com/mouradmourafiq/pandas-summary,https://github.com/mouradmourafiq/pandas-summary,MIT,2016-03-25 21:59:32.000000,2019-08-24 21:10:25.000000,2019-08-24 21:10:24.000000,33.0,8.0,5.0,358.0,24.0,2016-08-30 07:54:59.000000,0.0.41,8.0,An extension to pandas dataframes describe function.,562.0,543.0,6.0,21,https://pypi.org/project/pandas-summary,2016-08-30 07:54:59.000000,19.0,16027.0,16027.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n531,PyNNDescent,lmcinnes/pynndescent,pynndescent,conda-forge/pynndescent,,nn-search,,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000000,2020-11-28 21:20:02.000000,2020-11-28 21:19:56.000000,43.0,26.0,27.0,349.0,453.0,2020-11-19 20:20:48.000000,0.5.1,20.0,A Python nearest neighbor descent for approximate nearest neighbors.,3.0,,10.0,21,https://pypi.org/project/pynndescent,2020-11-19 20:20:48.000000,3.0,7725.0,8820.0,https://anaconda.org/conda-forge/pynndescent,2020-11-19 22:20:12.326000,19719.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n532,Neuraxle,Neuraxio/Neuraxle,neuraxle,,,hyperopt,,https://github.com/Neuraxio/Neuraxle,https://github.com/Neuraxio/Neuraxle,Apache-2.0,2019-03-26 21:01:54.000000,2020-12-24 21:58:07.000000,2020-12-09 04:28:21.000000,39.0,118.0,125.0,342.0,1285.0,2020-09-20 16:29:39.000000,0.5.6,18.0,A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right..,17.0,17.0,7.0,21,https://pypi.org/project/neuraxle,2020-09-20 16:29:39.000000,0.0,448.0,448.0,,,,True,3,,,,,,,,,,,,,,,True,,,,,,,,,,,\n533,PyTorch Sparse,rusty1s/pytorch_sparse,torch-sparse,,,pytorch-utils,['pytorch'],https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53.000000,2020-12-01 08:48:36.000000,2020-12-01 08:48:19.000000,40.0,32.0,44.0,325.0,504.0,2020-11-02 10:42:59.000000,0.6.8,21.0,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,17.0,,11.0,21,https://pypi.org/project/torch-sparse,2020-11-02 10:43:20.000000,17.0,4250.0,4250.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n534,torch-cluster,rusty1s/pytorch_cluster,torch-cluster,,,graph,['pytorch'],https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06.000000,2020-12-07 09:11:31.000000,2020-12-07 09:11:30.000000,61.0,34.0,37.0,313.0,498.0,2020-10-31 14:42:35.000000,1.5.8,38.0,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,16.0,,17.0,21,https://pypi.org/project/torch-cluster,2020-10-31 14:42:35.000000,16.0,3046.0,3046.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n535,BioPandas,rasbt/biopandas,biopandas,conda-forge/biopandas,,others,['pandas'],https://github.com/rasbt/biopandas,https://github.com/rasbt/biopandas,BSD-3-Clause,2015-11-21 00:00:14.000000,2020-11-09 18:19:23.000000,2020-11-09 18:19:22.000000,75.0,16.0,18.0,311.0,142.0,2020-08-04 13:52:27.000000,0.2.7,11.0,Working with molecular structures in pandas DataFrames.,49.0,46.0,7.0,21,https://pypi.org/project/biopandas,2020-08-04 13:49:59.000000,3.0,347.0,1613.0,https://anaconda.org/conda-forge/biopandas,2020-08-08 06:33:59.197000,60795.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n536,NIPY,nipy/nipy,nipy,conda-forge/nipy,,medical-data,,https://github.com/nipy/nipy,https://github.com/nipy/nipy,DSDP,2010-05-02 10:00:33.000000,2020-11-24 19:22:47.000000,2020-10-14 22:51:30.000000,116.0,38.0,104.0,288.0,6371.0,2018-02-19 14:14:08.000000,0.4.2,6.0,Neuroimaging in Python FMRI analysis package.,29.0,,63.0,21,https://pypi.org/project/nipy,2018-02-19 14:14:08.000000,29.0,932.0,2631.0,https://anaconda.org/conda-forge/nipy,2020-05-04 19:38:04.112000,69692.0,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n537,caer,jasmcaus/caer,caer,,,image,,https://github.com/jasmcaus/caer,https://github.com/jasmcaus/caer,MIT,2020-08-06 18:36:14.000000,2020-12-18 09:43:18.000000,2020-12-15 13:05:47.000000,32.0,4.0,5.0,280.0,4754.0,2020-12-09 06:54:27.000000,1.9.4,105.0,\"A lightweight, scalable, GPU-accelerated Computer Vision library for high-performance AI research.\",,,2.0,21,https://pypi.org/project/caer,2020-12-09 06:52:51.000000,,596134.0,596136.0,,,,True,3,10.0,,,,,,,,,,,,,,True,,,,,,,,,,,\n538,pymap3d,geospace-code/pymap3d,pymap3d,conda-forge/pymap3d,,geospatial-data,,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03.000000,2020-12-23 03:44:01.000000,2020-12-23 03:43:54.000000,55.0,2.0,22.0,167.0,622.0,2020-09-21 15:20:10.000000,2.4.3,45.0,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,3.0,,8.0,21,https://pypi.org/project/pymap3d,2020-09-21 15:16:49.000000,3.0,14247.0,14887.0,https://anaconda.org/conda-forge/pymap3d,2020-09-24 05:54:07.357000,5763.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n539,gokart,m3dev/gokart,gokart,,,ml-experiments,,https://github.com/m3dev/gokart,https://github.com/m3dev/gokart,MIT,2018-12-23 07:40:27.000000,2020-12-27 06:31:36.000000,2020-12-27 06:31:35.000000,30.0,9.0,18.0,154.0,306.0,2020-12-21 12:17:37.000000,0.3.21,45.0,A wrapper of the data pipeline library luigi.,30.0,28.0,24.0,21,https://pypi.org/project/gokart,2020-02-25 06:01:19.000000,2.0,872.0,872.0,,,,True,3,,,,,,,,,,,,,,,True,,,,,,,,,,,\n540,filedepot,amol-/depot,filedepot,,,db-clients,,https://github.com/amol-/depot,https://github.com/amol-/depot,MIT,2014-06-04 10:27:12.000000,2020-07-27 18:27:16.000000,2020-07-27 18:22:42.000000,32.0,6.0,33.0,119.0,257.0,2020-07-27 18:26:46.000000,0.8.0,23.0,Toolkit for storing files and attachments in web applications.,307.0,219.0,18.0,21,https://pypi.org/project/filedepot,2020-07-27 18:27:16.000000,88.0,2025.0,2025.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n541,Photon,s0md3v/Photon,photon,,,web-scraping,,https://github.com/s0md3v/Photon,https://github.com/s0md3v/Photon,GPL-3.0,2018-03-30 19:38:22.000000,2020-10-28 14:01:02.000000,2019-12-06 14:59:47.000000,986.0,33.0,65.0,7417.0,324.0,2019-04-05 15:15:47.000000,1.3.0,18.0,Incredibly fast crawler designed for OSINT.,5.0,,21.0,20,https://pypi.org/project/photon,2019-01-25 01:13:36.000000,5.0,727.0,727.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n542,cuDF,rapidsai/cudf,cudf,,,gpu-utilities,,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000000,2020-12-23 06:37:26.000000,2020-12-23 06:37:25.000000,470.0,565.0,2685.0,3559.0,,2020-12-10 17:28:54.000000,0.17.0,5.0,cuDF - GPU DataFrame Library.,2.0,,197.0,20,https://pypi.org/project/cudf,2020-06-01 20:07:47.000000,2.0,829.0,829.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n543,DeepMatcher,anhaidgroup/deepmatcher,deepmatcher,,,nlp,,https://github.com/anhaidgroup/deepmatcher,https://github.com/anhaidgroup/deepmatcher,BSD-3-Clause,2017-12-01 19:01:11.000000,2020-09-27 17:25:56.000000,2020-04-20 02:34:24.000000,1256.0,47.0,15.0,3326.0,169.0,2019-12-30 19:49:33.000000,0.1.1,9.0,Python package for performing Entity and Text Matching using Deep Learning.,9.0,9.0,7.0,20,https://pypi.org/project/deepmatcher,2019-12-30 19:49:33.000000,,271.0,271.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n544,AutoScraper,alirezamika/autoscraper,autoscraper,,,web-scraping,,https://github.com/alirezamika/autoscraper,https://github.com/alirezamika/autoscraper,MIT,2020-08-31 12:02:19.000000,2020-12-15 09:03:03.000000,2020-12-15 09:03:02.000000,290.0,3.0,24.0,3148.0,124.0,2020-11-29 13:02:41.000000,1.1.10,13.0,\"A Smart, Automatic, Fast and Lightweight Web Scraper for Python.\",18.0,18.0,6.0,20,https://pypi.org/project/autoscraper,2020-11-29 13:03:11.000000,,829.0,829.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n545,MindsDB,mindsdb/mindsdb,mindsdb,,,ml-frameworks,['pytorch'],https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,GPL-3.0,2018-08-02 17:56:45.000000,2020-12-27 11:35:51.000000,2020-12-25 08:31:25.000000,405.0,36.0,461.0,3116.0,,2020-12-25 13:03:50.000000,2.17.1,42.0,Predictive AI layer for existing databases.,3.0,,55.0,20,https://pypi.org/project/mindsdb,2019-03-19 05:07:23.000000,3.0,2146.0,2146.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n546,TRFL,deepmind/trfl,trfl,,,reinforcement-learning,['tensorflow'],https://github.com/deepmind/trfl,https://github.com/deepmind/trfl,Apache-2.0,2018-08-08 14:44:11.000000,2020-11-06 04:44:44.000000,2020-04-20 13:05:56.000000,363.0,4.0,16.0,3057.0,116.0,2020-04-20 14:11:57.000000,1.1.0,4.0,TensorFlow Reinforcement Learning.,38.0,36.0,12.0,20,https://pypi.org/project/trfl,2020-04-20 14:11:57.000000,2.0,690.0,690.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n547,DALI,NVIDIA/DALI,,,,gpu-utilities,,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000000,2020-12-22 01:07:51.000000,2020-12-18 19:33:46.000000,356.0,179.0,576.0,3002.0,1643.0,2020-11-30 15:46:55.000000,0.28.0,34.0,A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep..,,,53.0,20,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n548,FATE,FederatedAI/FATE,,,,privacy-ml,,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000000,2020-12-25 03:49:23.000000,2020-12-22 11:46:12.000000,757.0,248.0,518.0,2638.0,6600.0,2020-11-13 13:36:14.000000,1.5.0,24.0,An Industrial Grade Federated Learning Framework.,,,50.0,20,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n549,BytePS,bytedance/byteps,byteps,,,distributed-ml,,https://github.com/bytedance/byteps,https://github.com/bytedance/byteps,Apache-2.0,2019-06-25 07:00:13.000000,2020-12-14 06:23:38.000000,2020-12-06 21:02:44.000000,358.0,68.0,129.0,2587.0,407.0,2020-08-27 15:42:13.000000,0.2.4,7.0,A high performance and generic framework for distributed DNN training.,,,16.0,20,https://pypi.org/project/byteps,2020-11-04 00:05:46.000000,,154.0,205.0,,,,True,3,,,,bytepsimage/tensorflow,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,932.0,,,,,,,,,,,,,,,,,,\n550,StreamAlert,airbnb/streamalert,,,,others,,https://github.com/airbnb/streamalert,https://github.com/airbnb/streamalert,Apache-2.0,2017-01-22 01:10:56.000000,2020-10-27 21:18:35.000000,2020-10-05 21:15:11.000000,280.0,90.0,247.0,2435.0,1892.0,2020-10-05 21:50:56.000000,3.4.1,27.0,\"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data..\",,,30.0,20,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n551,finmarketpy,cuemacro/finmarketpy,finmarketpy,,,financial-data,,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03.000000,2020-12-26 18:45:33.000000,2020-12-26 18:45:28.000000,411.0,21.0,3.0,2412.0,642.0,2020-10-20 09:25:52.000000,0.11.7,8.0,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,3.0,3.0,14.0,20,https://pypi.org/project/finmarketpy,2020-10-20 09:28:00.000000,,89.0,89.0,,,,True,3,39.0,,,,,,,,,,,,,,,,,,,,,,,,,\n552,Kashgari,BrikerMan/Kashgari,kashgari-tf,,,nlp,['tensorflow'],https://github.com/BrikerMan/Kashgari,https://github.com/BrikerMan/Kashgari,Apache-2.0,2019-01-19 01:53:28.000000,2020-12-09 02:13:33.000000,2020-10-29 08:08:00.000000,372.0,30.0,296.0,1975.0,,2020-10-30 12:37:01.000000,2.0.1,23.0,Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-..,20.0,19.0,19.0,20,https://pypi.org/project/kashgari-tf,2019-06-26 12:27:50.000000,1.0,194.0,194.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n553,auto_ml,ClimbsRocks/auto_ml,auto_ml,,,hyperopt,,https://github.com/ClimbsRocks/auto_ml,https://github.com/ClimbsRocks/auto_ml,MIT,2016-08-07 21:35:08.000000,2020-05-19 22:45:27.000000,2018-03-25 19:46:25.000000,283.0,176.0,215.0,1511.0,1149.0,2018-02-22 01:13:03.000000,2.9.10,78.0,[UNMAINTAINED] Automated machine learning for analytics & production.,1.0,,13.0,20,https://pypi.org/project/auto_ml,2018-02-22 01:13:03.000000,1.0,2207.0,2207.0,,,,False,3,33.0,,,,,,,,,,,,,,,,,,,,,,,,,\n554,AmpliGraph,Accenture/AmpliGraph,ampligraph,,,graph,['tensorflow'],https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05.000000,2020-08-25 17:19:24.000000,2020-08-25 17:00:58.000000,153.0,18.0,155.0,1391.0,895.0,2020-08-25 17:06:46.000000,1.3.2,11.0,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,9.0,9.0,14.0,20,https://pypi.org/project/ampligraph,2020-08-25 16:59:58.000000,,575.0,575.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n555,reformer-pytorch,lucidrains/reformer-pytorch,reformer-pytorch,,,pytorch-utils,['pytorch'],https://github.com/lucidrains/reformer-pytorch,https://github.com/lucidrains/reformer-pytorch,MIT,2020-01-09 20:42:37.000000,2020-12-11 17:49:44.000000,2020-12-11 17:49:36.000000,157.0,1.0,92.0,1273.0,236.0,2020-12-06 23:07:32.000000,1.2.4,132.0,\"Reformer, the efficient Transformer, in Pytorch.\",,,9.0,20,https://pypi.org/project/reformer-pytorch,2020-12-06 23:08:09.000000,,871.0,871.0,,,,True,2,,,,,,,,,,,,,,,True,,,,,,,,,,,\n556,ThunderSVM,Xtra-Computing/thundersvm,thundersvm,,,ml-frameworks,,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04.000000,2020-12-14 03:08:11.000000,2020-12-14 03:08:11.000000,164.0,42.0,144.0,1247.0,896.0,2020-03-13 12:36:30.000000,0.3.12,9.0,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,,,33.0,20,https://pypi.org/project/thundersvm,2020-03-13 12:36:30.000000,,353.0,395.0,,,,True,3,2068.0,,,,,,,,,,,,,,,,,,,,,,,,,\n557,db.py,yhat/db.py,db.py,,,db-clients,,https://github.com/yhat/db.py,https://github.com/yhat/db.py,BSD-2-Clause,2014-10-26 15:36:57.000000,2019-12-13 18:00:10.000000,2017-03-31 14:41:30.000000,110.0,32.0,21.0,1205.0,233.0,2017-03-31 14:41:57.000000,0.5.3,35.0,db.py is an easier way to interact with your databases.,19.0,,24.0,20,https://pypi.org/project/db.py,2017-03-31 14:41:57.000000,19.0,716.0,716.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n558,Karate Club,benedekrozemberczki/karateclub,karateclub,,,graph,,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56.000000,2020-12-21 20:52:07.000000,2020-12-21 20:51:56.000000,129.0,,46.0,1095.0,2094.0,2020-12-01 21:11:27.000000,_10022,95.0,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,19.0,19.0,11.0,20,https://pypi.org/project/karateclub,2020-12-01 21:08:09.000000,,5583.0,5583.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n559,datatable,h2oai/datatable,datatable,,,data-containers,,https://github.com/h2oai/datatable,https://github.com/h2oai/datatable,MPL-2.0,2017-03-03 02:32:59.000000,2020-12-22 20:01:37.000000,2020-12-18 17:52:58.000000,95.0,112.0,1101.0,1074.0,,2020-12-10 09:10:50.000000,0.11.1,15.0,A Python package for manipulating 2-dimensional tabular data structures.,6.0,,28.0,20,https://pypi.org/project/datatable,2020-12-10 08:04:03.000000,6.0,16137.0,16154.0,,,,True,3,710.0,,,,,,,,,,,,,,,,,,,,,,,,,\n560,FARM,deepset-ai/FARM,farm,,,nlp,['pytorch'],https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12.000000,2020-12-27 15:08:20.000000,2020-12-23 11:36:31.000000,144.0,32.0,277.0,1057.0,507.0,2020-10-30 16:51:53.000000,0.5.0,19.0,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,1.0,,28.0,20,https://pypi.org/project/farm,2020-10-30 16:14:35.000000,1.0,6657.0,6657.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n561,Classy Vision,facebookresearch/ClassyVision,classy_vision,conda-forge/classy_vision,,image,['pytorch'],https://github.com/facebookresearch/ClassyVision,https://github.com/facebookresearch/ClassyVision,MIT,2019-09-13 22:54:44.000000,2020-12-23 20:44:56.000000,2020-12-23 20:44:46.000000,181.0,46.0,39.0,1011.0,313.0,2020-11-20 16:42:56.000000,0.5.0,15.0,An end-to-end PyTorch framework for image and video classification.,,,51.0,20,https://pypi.org/project/classy_vision,2020-11-20 21:02:29.000000,,528.0,1016.0,https://anaconda.org/conda-forge/classy_vision,2020-12-11 20:08:25.437000,5374.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n562,Sockeye,awslabs/sockeye,sockeye,,,nlp,['mxnet'],https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30.000000,2020-12-22 13:56:02.000000,2020-12-14 11:06:20.000000,287.0,17.0,218.0,979.0,729.0,2020-11-18 13:41:36.000000,2.3.2,59.0,Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet.,2.0,,52.0,20,https://pypi.org/project/sockeye,2020-11-05 14:07:57.000000,2.0,535.0,535.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n563,TensorNets,taehoonlee/tensornets,tensornets,,,tensorflow-utils,['tensorflow'],https://github.com/taehoonlee/tensornets,https://github.com/taehoonlee/tensornets,MIT,2017-09-19 05:19:01.000000,2020-10-03 09:19:27.000000,2020-10-03 09:19:17.000000,182.0,14.0,42.0,965.0,283.0,2020-03-31 04:38:27.000000,0.4.6,12.0,High level network definitions with pre-trained weights in TensorFlow.,31.0,29.0,6.0,20,https://pypi.org/project/tensornets,2020-03-31 04:35:15.000000,2.0,285.0,285.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n564,gplearn,trevorstephens/gplearn,gplearn,,,others,['sklearn'],https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14.000000,2020-02-15 08:12:38.000000,2020-02-15 08:12:17.000000,149.0,27.0,114.0,899.0,146.0,2019-06-01 02:04:52.000000,0.4.1,5.0,\"Genetic Programming in Python, with a scikit-learn inspired API.\",119.0,112.0,10.0,20,https://pypi.org/project/gplearn,2019-06-01 02:04:52.000000,7.0,1114.0,1114.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n565,geoplotlib,andrea-cuttone/geoplotlib,geoplotlib,,,geospatial-data,,https://github.com/andrea-cuttone/geoplotlib,https://github.com/andrea-cuttone/geoplotlib,MIT,2015-02-24 13:13:07.000000,2020-04-10 20:00:31.000000,2019-05-06 07:06:50.000000,141.0,23.0,18.0,885.0,159.0,2016-07-27 14:55:01.000000,0.3.2,4.0,python toolbox for visualizing geographical data and making maps.,94.0,85.0,8.0,20,https://pypi.org/project/geoplotlib,2016-07-27 14:55:01.000000,9.0,1126.0,1126.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n566,Haiku,deepmind/dm-haiku,,,,ml-frameworks,,https://github.com/deepmind/dm-haiku,https://github.com/deepmind/dm-haiku,Apache-2.0,2020-02-18 07:14:02.000000,2020-12-26 21:50:52.000000,2020-12-22 16:29:34.000000,58.0,18.0,47.0,869.0,430.0,2020-11-24 11:25:05.000000,0.0.3,5.0,JAX-based neural network library.,53.0,53.0,32.0,20,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n567,Fiber,uber/fiber,fiber,,,distributed-ml,,https://github.com/uber/fiber,https://github.com/uber/fiber,Apache-2.0,2020-01-07 18:16:24.000000,2020-10-06 14:39:41.000000,2020-10-06 14:39:12.000000,87.0,12.0,5.0,829.0,60.0,2020-07-09 03:28:28.000000,0.2.1,6.0,Distributed Computing for AI Made Simple.,18.0,17.0,5.0,20,https://pypi.org/project/fiber,2020-07-09 03:28:28.000000,1.0,1489.0,1489.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n568,nude.py,hhatto/nude.py,nudepy,,,image,,https://github.com/hhatto/nude.py,https://github.com/hhatto/nude.py,MIT,2013-06-09 06:55:55.000000,2020-11-23 13:49:32.000000,2020-11-23 13:49:02.000000,128.0,6.0,2.0,784.0,79.0,2020-11-23 13:49:17.000000,0.5.1,10.0,Nudity detection with Python.,56.0,47.0,12.0,20,https://pypi.org/project/nudepy,2020-11-23 13:49:17.000000,9.0,517.0,517.0,,,,True,3,,,,,,,,,,,,,,,True,,,,,,,,,,,\n569,iNNvestigate,albermax/innvestigate,innvestigate,,,interpretability,['keras'],https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20.000000,2020-11-14 11:35:59.000000,2020-10-16 15:26:56.000000,168.0,71.0,126.0,737.0,882.0,2019-03-19 14:31:31.000000,1.0.9,2.0,A toolbox to iNNvestigate neural networks' predictions!.,42.0,41.0,18.0,20,https://pypi.org/project/innvestigate,2020-11-14 11:35:59.000000,1.0,484.0,484.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n570,keras-ocr,faustomorales/keras-ocr,keras-ocr,,,ocr,,https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50.000000,2020-12-11 02:31:17.000000,2020-11-26 17:18:25.000000,164.0,27.0,95.0,730.0,161.0,2020-11-26 17:19:39.000000,0.8.6,26.0,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,1.0,,9.0,20,https://pypi.org/project/keras-ocr,2020-11-26 17:19:39.000000,1.0,1771.0,5420.0,,,,True,3,10948.0,,,,,,,,,,,,,,,,,,,,,,,,,\n571,YouTokenToMe,vkcom/youtokentome,youtokentome,,,nlp,,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28.000000,2020-10-01 23:24:11.000000,2020-02-13 09:49:37.000000,42.0,21.0,20.0,703.0,76.0,2020-02-13 09:57:47.000000,1.0.6,14.0,Unsupervised text tokenizer focused on computational efficiency.,97.0,91.0,6.0,20,https://pypi.org/project/youtokentome,2020-02-12 18:24:46.000000,6.0,6950.0,6950.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n572,Madmom,CPJKU/madmom,madmom,,,audio,,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06.000000,2020-04-14 03:42:18.000000,2019-12-19 14:46:37.000000,116.0,43.0,176.0,689.0,1722.0,2018-11-14 14:57:41.000000,0.16.1,11.0,Python audio and music signal processing library.,120.0,112.0,19.0,20,https://pypi.org/project/madmom,2018-11-14 14:56:22.000000,8.0,1090.0,1090.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n573,Opacus,pytorch/opacus,opacus,,,privacy-ml,['pytorch'],https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000000,2020-12-22 19:56:15.000000,2020-12-22 19:53:18.000000,87.0,7.0,46.0,687.0,194.0,2020-12-17 17:30:40.000000,0.11.0,6.0,Training PyTorch models with differential privacy.,9.0,9.0,23.0,20,https://pypi.org/project/opacus,2020-12-17 17:30:40.000000,,692.0,696.0,,,,True,3,28.0,,,,,,,,,,,,,,,,,,,,,,,,,\n574,NeuPy,itdxer/neupy,neupy,,,ml-frameworks,,https://github.com/itdxer/neupy,https://github.com/itdxer/neupy,MIT,2015-08-24 19:45:11.000000,2020-01-15 08:04:33.000000,2019-09-02 19:02:38.000000,143.0,26.0,229.0,658.0,1145.0,2019-04-04 19:44:59.000000,0.8.2,34.0,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,109.0,99.0,6.0,20,https://pypi.org/project/neupy,2019-04-04 19:43:06.000000,10.0,993.0,993.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n575,NearPy,pixelogik/NearPy,NearPy,,,nn-search,,https://github.com/pixelogik/NearPy,https://github.com/pixelogik/NearPy,MIT,2013-04-25 09:10:26.000000,2020-02-17 20:24:08.000000,2018-10-21 17:54:28.000000,135.0,21.0,38.0,655.0,159.0,2016-09-27 13:04:44.000000,1.0.0,8.0,\"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..\",62.0,47.0,18.0,20,https://pypi.org/project/NearPy,2016-09-27 13:03:12.000000,15.0,1785.0,1785.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n576,RecBole,RUCAIBox/RecBole,recbole,aibox/recbole,,recommender-systems,['pytorch'],https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000000,2020-12-26 21:20:20.000000,2020-12-24 05:24:31.000000,86.0,17.0,25.0,650.0,2185.0,2020-12-06 08:33:29.000000,0.1.2,3.0,\"A unified, comprehensive and efficient recommendation library.\",,,21.0,20,https://pypi.org/project/recbole,2020-12-06 08:38:29.000000,,145.0,283.0,https://anaconda.org/aibox/recbole,2020-12-06 10:21:07.722000,138.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n577,finetune,IndicoDataSolutions/finetune,finetune,,,nlp,\"['tensorflow', 'sklearn']\",https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16.000000,2020-12-16 11:18:55.000000,2020-11-24 13:38:51.000000,67.0,18.0,115.0,629.0,1201.0,2019-11-07 19:42:32.000000,0.8.6,37.0,Scikit-learn style model finetuning for NLP.,10.0,8.0,18.0,20,https://pypi.org/project/finetune,2020-01-10 22:42:24.000000,2.0,228.0,228.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n578,mljar-supervised,mljar/mljar-supervised,mljar-supervised,,,hyperopt,,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000000,2020-12-17 14:04:49.000000,2020-12-17 14:02:49.000000,92.0,49.0,199.0,598.0,686.0,2020-12-17 14:04:49.000000,0.7.15,49.0,Automates Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning.,8.0,8.0,7.0,20,https://pypi.org/project/mljar-supervised,2020-12-17 14:03:27.000000,,1168.0,1168.0,,,,True,3,,,,,,,,,,,,,,,True,,,,,,,,,,,\n579,pdpipe,pdpipe/pdpipe,pdpipe,,,data-pipelines,['pandas'],https://github.com/pdpipe/pdpipe,https://github.com/pdpipe/pdpipe,MIT,2017-01-24 20:37:22.000000,2020-11-17 08:57:21.000000,2020-11-17 08:57:20.000000,29.0,6.0,14.0,574.0,341.0,2020-11-09 09:32:37.000000,0.0.53,49.0,Easy pipelines for pandas DataFrames.,21.0,21.0,8.0,20,https://pypi.org/project/pdpipe,2020-11-09 09:32:37.000000,,1051.0,1051.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n580,torch-scatter,rusty1s/pytorch_scatter,torch-scatter,,,pytorch-utils,['pytorch'],https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23.000000,2020-12-11 20:40:45.000000,2020-12-01 08:40:47.000000,72.0,58.0,102.0,562.0,803.0,2020-06-24 09:29:12.000000,2.0.5,24.0,PyTorch Extension Library of Optimized Scatter Operations.,16.0,,13.0,20,https://pypi.org/project/torch-scatter,2020-02-22 16:51:10.000000,16.0,5164.0,5164.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,,\n581,Mapbox GL,mapbox/mapboxgl-jupyter,mapboxgl,,,geospatial-data,['jupyter'],https://github.com/mapbox/mapboxgl-jupyter,https://github.com/mapbox/mapboxgl-jupyter,MIT,2017-08-08 15:10:51.000000,2019-12-13 22:49:07.000000,2019-12-03 21:57:25.000000,117.0,34.0,67.0,549.0,220.0,2019-06-03 21:24:10.000000,0.10.2,20.0,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,103.0,85.0,20.0,20,https://pypi.org/project/mapboxgl,2019-06-02 15:18:57.000000,18.0,6152.0,6152.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n582,Lassie,michaelhelmick/lassie,lassie,,,web-scraping,,https://github.com/michaelhelmick/lassie,https://github.com/michaelhelmick/lassie,MIT,2013-07-30 20:41:39.000000,2020-12-16 20:25:47.000000,2020-12-16 20:25:31.000000,42.0,10.0,29.0,518.0,214.0,2020-12-16 20:18:31.000000,0.11.8,35.0,Web Content Retrieval for Humans.,27.0,20.0,14.0,20,https://pypi.org/project/lassie,2020-12-16 20:18:31.000000,7.0,544.0,544.0,,,,True,3,,,,,,,,,,,,,,,True,,,,,,,,,,,\n583,gazpacho,maxhumber/gazpacho,gazpacho,,,web-scraping,,https://github.com/maxhumber/gazpacho,https://github.com/maxhumber/gazpacho,MIT,2019-09-23 20:21:55.000000,2020-10-31 18:03:20.000000,2020-10-31 18:03:19.000000,47.0,4.0,29.0,501.0,142.0,2020-10-09 12:51:41.000000,1.1,18.0,\"The simple, fast, and modern web scraping library.\",81.0,79.0,13.0,20,https://pypi.org/project/gazpacho,2020-09-24 17:50:19.000000,2.0,2482.0,2482.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n584,N2,kakao/n2,n2,,,nn-search,,https://github.com/kakao/n2,https://github.com/kakao/n2,Apache-2.0,2017-11-23 02:27:59.000000,2020-10-21 05:15:27.000000,2020-10-21 05:14:11.000000,51.0,17.0,21.0,443.0,242.0,2020-10-16 03:43:47.000000,0.1.7,8.0,TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets.,14.0,12.0,17.0,20,https://pypi.org/project/n2,2020-10-16 02:48:11.000000,2.0,436.0,436.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n585,pivottablejs,nicolaskruchten/jupyter_pivottablejs,pivottablejs,,,data-viz,['jupyter'],https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,MIT,2015-09-09 13:39:18.000000,2018-12-04 14:43:26.000000,2018-12-04 14:43:25.000000,53.0,16.0,37.0,408.0,32.0,2018-01-15 18:14:37.000000,0.9.0,10.0,\"Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js.\",149.0,135.0,3.0,20,https://pypi.org/project/pivottablejs,2018-01-15 18:14:37.000000,14.0,8534.0,8534.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n586,PyWaffle,gyli/PyWaffle,pywaffle,,,data-viz,,https://github.com/gyli/PyWaffle,https://github.com/gyli/PyWaffle,MIT,2017-11-14 20:03:47.000000,2020-07-26 23:22:17.000000,2020-07-26 23:22:13.000000,59.0,2.0,10.0,368.0,249.0,2020-07-26 19:16:45.000000,0.6.1,22.0,Make Waffle Charts in Python.,38.0,38.0,6.0,20,https://pypi.org/project/pywaffle,2020-07-26 19:16:45.000000,,1149.0,1149.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n587,Labml,lab-ml/labml,labml,,,ml-experiments,,https://github.com/lab-ml/labml,https://github.com/lab-ml/labml,MIT,2018-11-16 09:34:48.000000,2020-12-26 05:54:58.000000,2020-12-26 05:54:51.000000,27.0,,6.0,318.0,856.0,2020-12-22 07:39:56.000000,0.4.84,61.0,Monitor PyTorch & TensorFlow model training on mobile phones.,20.0,20.0,5.0,20,https://pypi.org/project/labml,2020-12-22 07:39:56.000000,0.0,1039.0,1039.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n588,MedPy,loli/medpy,MedPy,,,medical-data,,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34.000000,2020-05-01 15:25:39.000000,2020-05-01 15:25:38.000000,104.0,8.0,65.0,308.0,324.0,2019-02-14 17:12:59.000000,0.4.0,6.0,Medical image processing in Python.,217.0,210.0,13.0,20,https://pypi.org/project/MedPy,2019-02-14 17:12:59.000000,7.0,3077.0,3077.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n589,sklearn-evaluation,edublancas/sklearn-evaluation,sklearn-evaluation,,,interpretability,['sklearn'],https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2015-09-04 16:33:42.000000,2020-12-24 02:34:15.000000,2020-12-24 02:31:27.000000,25.0,7.0,27.0,285.0,500.0,2020-12-15 17:36:29.000000,0.5.3,15.0,\"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook..\",28.0,26.0,5.0,20,https://pypi.org/project/sklearn-evaluation,2020-12-15 17:34:30.000000,2.0,294.0,294.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n590,AutoViz,AutoViML/AutoViz,autoviz,,,data-viz,,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06.000000,2020-12-21 03:22:01.000000,2020-12-21 03:21:52.000000,54.0,3.0,16.0,272.0,97.0,2020-12-10 02:33:19.000000,0.0.81,26.0,\"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..\",24.0,24.0,10.0,20,https://pypi.org/project/autoviz,2020-12-10 02:33:19.000000,,1235.0,1235.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n591,Submit it,facebookincubator/submitit,submitit,conda-forge/submitit,,distributed-ml,,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09.000000,2020-12-18 11:03:01.000000,2020-12-04 13:12:27.000000,16.0,9.0,12.0,270.0,33.0,2020-11-19 12:53:49.000000,1.1.5,8.0,Python 3.6+ toolbox for submitting jobs to Slurm.,69.0,69.0,8.0,20,https://pypi.org/project/submitit,2020-12-01 08:14:16.000000,0.0,1691.0,1850.0,https://anaconda.org/conda-forge/submitit,2020-11-19 14:06:58.416000,636.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n592,Queries,gmr/queries,queries,,,db-clients,,https://github.com/gmr/queries,https://github.com/gmr/queries,BSD-3-Clause,2012-08-24 16:12:55.000000,2020-11-04 14:26:15.000000,2020-08-07 16:32:54.000000,27.0,3.0,12.0,231.0,334.0,2020-03-09 17:40:07.000000,2.1.0,29.0,PostgreSQL database access simplified.,108.0,83.0,11.0,20,https://pypi.org/project/queries,2020-03-09 17:40:07.000000,25.0,845.0,845.0,,,,True,3,,,,,,,,,,,,,,,True,,,,,,,,,,,\n593,recmetrics,statisticianinstilettos/recmetrics,recmetrics,,,recommender-systems,,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49.000000,2020-12-03 21:21:02.000000,2020-12-03 21:21:00.000000,52.0,7.0,7.0,218.0,233.0,2019-02-10 16:12:38.000000,0.0.9,11.0,A library of metrics for evaluating recommender systems.,16.0,16.0,12.0,20,https://pypi.org/project/recmetrics,2019-02-10 16:12:38.000000,,1107.0,1107.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n594,StaticFrame,InvestmentSystems/static-frame,static-frame,conda-forge/static-frame,,data-containers,,https://github.com/InvestmentSystems/static-frame,https://github.com/InvestmentSystems/static-frame,MIT,2018-01-03 15:07:52.000000,2020-12-27 15:05:57.000000,2020-12-27 15:05:33.000000,20.0,33.0,229.0,206.0,2156.0,2020-12-14 17:20:49.000000,0.7.8,90.0,\"The StaticFrame library defines the Series and Frame, immutable data structures for one- and two-dimensional..\",5.0,5.0,14.0,20,https://pypi.org/project/static-frame,2020-12-01 04:29:56.000000,,1867.0,4527.0,https://anaconda.org/conda-forge/static-frame,2020-12-14 19:22:26.127000,58524.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n595,fletcher,xhochy/fletcher,fletcher,conda-forge/fletcher,,data-containers,['pandas'],https://github.com/xhochy/fletcher,https://github.com/xhochy/fletcher,MIT,2018-03-04 16:44:22.000000,2020-12-18 12:42:04.000000,2020-12-18 12:42:02.000000,32.0,33.0,39.0,205.0,501.0,2020-12-07 20:33:59.000000,0.7.0,14.0,Pandas ExtensionDType/Array backed by Apache Arrow.,2.0,2.0,23.0,20,https://pypi.org/project/fletcher,2020-12-07 20:33:59.000000,,484.0,1103.0,https://anaconda.org/conda-forge/fletcher,2020-12-07 21:54:19.247000,17934.0,True,3,12.0,,,,,,,,,,,,,,,,,,,,,,,,,\n596,stop-words,Alir3z4/python-stop-words,stop-words,,,nlp,,https://github.com/Alir3z4/python-stop-words,https://github.com/Alir3z4/python-stop-words,BSD-3-Clause,2014-05-26 06:44:03.000000,2019-10-16 15:01:43.000000,2018-07-23 21:04:09.000000,19.0,3.0,9.0,120.0,90.0,2018-07-23 20:58:34.000000,2018.7.23,8.0,Get list of common stop words in various languages in Python.,1244.0,1040.0,8.0,20,https://pypi.org/project/stop-words,2018-07-23 20:55:55.000000,204.0,41671.0,41671.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n597,graph-nets,deepmind/graph_nets,graph-nets,,,graph,['tensorflow'],https://github.com/deepmind/graph_nets,https://github.com/deepmind/graph_nets,Apache-2.0,2018-08-31 08:19:28.000000,2020-12-04 17:43:48.000000,2020-12-04 17:43:47.000000,708.0,13.0,101.0,4703.0,47.0,2020-01-29 16:00:25.000000,1.1.0,7.0,Build Graph Nets in Tensorflow.,7.0,,11.0,19,https://pypi.org/project/graph-nets,2020-01-29 16:00:25.000000,7.0,831.0,831.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n598,Qlib,microsoft/qlib,pyqlib,,,financial-data,['pytorch'],https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000000,2020-12-26 12:21:31.000000,2020-12-26 12:21:30.000000,479.0,41.0,33.0,3278.0,,2020-12-12 09:59:16.000000,0.6.1,15.0,\"Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research,..\",,,24.0,19,https://pypi.org/project/pyqlib,2020-12-12 09:59:16.000000,,2472.0,2533.0,,,,True,3,185.0,,,,,,,,,,,,,,,,,,,,,,,,,\n599,AdaBound,Luolc/AdaBound,adabound,,,pytorch-utils,['pytorch'],https://github.com/Luolc/AdaBound,https://github.com/Luolc/AdaBound,Apache-2.0,2019-02-15 18:05:20.000000,2019-03-06 17:01:52.000000,2019-03-06 17:01:45.000000,317.0,16.0,7.0,2821.0,27.0,2019-03-06 16:44:42.000000,0.0.5,4.0,An optimizer that trains as fast as Adam and as good as SGD.,98.0,92.0,2.0,19,https://pypi.org/project/adabound,2019-02-26 04:23:45.000000,6.0,993.0,993.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n600,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,torchbiggraph,,,graph,['pytorch'],https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16.000000,2020-12-18 18:07:19.000000,2020-12-18 18:07:13.000000,358.0,31.0,96.0,2622.0,141.0,2019-10-14 16:45:11.000000,1.0.0,3.0,Generate embeddings from large-scale graph-structured data.,4.0,,19.0,19,https://pypi.org/project/torchbiggraph,2019-05-01 21:31:13.000000,4.0,263.0,268.0,,,,True,3,101.0,,,,,,,,,,,,,,,,,,,,,,,,,\n601,Apache Singa,apache/singa,,nusdbsystem/singa,,distributed-ml,,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000000,2020-12-11 05:57:25.000000,2020-12-11 05:55:13.000000,571.0,49.0,32.0,2160.0,2261.0,2020-04-21 08:01:08.000000,3.0.0,13.0,a distributed deep learning platform.,,,70.0,19,,,,,7.0,https://anaconda.org/nusdbsystem/singa,2020-10-19 07:39:55.213000,240.0,True,3,,,,apache/singa,https://hub.docker.com/r/apache/singa,2019-06-04 04:32:52.195956,2.0,165.0,,,,,,,,,,,,,,,,,,\n602,DeepWalk,phanein/deepwalk,deepwalk,,,graph,,https://github.com/phanein/deepwalk,https://github.com/phanein/deepwalk,GPL-3.0,2014-08-23 03:38:20.000000,2020-04-02 01:05:36.000000,2020-04-02 01:05:35.000000,752.0,29.0,78.0,2140.0,46.0,2018-04-29 21:05:18.000000,1.0.3,4.0,DeepWalk - Deep Learning for Graphs.,42.0,35.0,10.0,19,https://pypi.org/project/deepwalk,2018-04-29 21:05:18.000000,7.0,1125.0,1125.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n603,Hummingbird,microsoft/hummingbird,hummingbird-ml,,,model-serialisation,,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000000,2020-12-24 00:07:06.000000,2020-12-23 23:50:35.000000,142.0,45.0,123.0,1947.0,,2020-10-30 21:47:05.000000,0.1.0,7.0,Hummingbird compiles trained ML models into tensor computation for faster inference.,12.0,12.0,17.0,19,https://pypi.org/project/hummingbird-ml,2020-10-30 21:45:47.000000,,695.0,707.0,,,,True,3,84.0,,,,,,,,,,,,,,,,,,,,,,,,,\n604,Coach,IntelLabs/coach,rl_coach,,,reinforcement-learning,,https://github.com/IntelLabs/coach,https://github.com/IntelLabs/coach,Apache-2.0,2017-10-01 19:27:43.000000,2020-12-21 12:46:30.000000,2020-12-15 08:02:16.000000,374.0,80.0,181.0,1882.0,512.0,2019-10-10 14:17:10.000000,1.0.1,13.0,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,1.0,,34.0,19,https://pypi.org/project/rl_coach,2019-10-10 14:17:10.000000,1.0,142.0,142.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n605,cuML,rapidsai/cuml,cuml,,,gpu-utilities,,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000000,2020-12-23 21:03:55.000000,2020-12-17 22:22:28.000000,297.0,629.0,858.0,1855.0,,2020-12-10 21:50:49.000000,0.17.0,5.0,cuML - RAPIDS Machine Learning Library.,,,118.0,19,https://pypi.org/project/cuml,2019-04-11 16:57:48.000000,,352.0,352.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n606,PARL,PaddlePaddle/PARL,parl,,,reinforcement-learning,['paddle'],https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22.000000,2020-12-25 11:43:32.000000,2020-12-25 05:54:44.000000,403.0,45.0,142.0,1747.0,1.0,2020-12-20 00:50:44.000000,1.4,15.0,A high-performance distributed training framework for Reinforcement Learning.,65.0,65.0,20.0,19,https://pypi.org/project/parl,2020-12-20 01:07:28.000000,,469.0,469.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n607,HiPlot,facebookresearch/hiplot,hiplot,conda-forge/hiplot,,data-viz,,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41.000000,2020-12-23 17:16:15.884000,2020-12-19 10:24:46.000000,86.0,4.0,41.0,1627.0,108.0,2020-11-30 11:40:56.000000,0.1.22,33.0,HiPlot makes understanding high dimensional data easy.,2.0,2.0,6.0,19,https://pypi.org/project/hiplot,2020-12-23 15:11:20.000000,0.0,3143.0,7133.0,https://anaconda.org/conda-forge/hiplot,2020-12-23 17:16:15.884000,39909.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n608,riko,nerevu/riko,riko,,,data-pipelines,,https://github.com/nerevu/riko,https://github.com/nerevu/riko,MIT,2016-06-02 12:22:51.000000,2020-08-14 18:29:28.000000,2020-08-14 16:47:45.000000,70.0,22.0,8.0,1547.0,1257.0,2020-08-14 18:29:28.000000,0.66.0,58.0,A Python stream processing engine modeled after Yahoo! Pipes.,1.0,,18.0,19,https://pypi.org/project/riko,2020-08-14 18:29:28.000000,1.0,171.0,171.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n609,DLTK,DLTK/DLTK,dltk,,,medical-data,['tensorflow'],https://github.com/DLTK/DLTK,https://github.com/DLTK/DLTK,Apache-2.0,2017-05-02 15:40:36.000000,2020-11-13 17:17:16.000000,2019-01-21 14:01:28.000000,377.0,7.0,24.0,1230.0,379.0,,,5.0,Deep Learning Toolkit for Medical Image Analysis.,17.0,17.0,9.0,19,https://pypi.org/project/dltk,2018-02-26 17:43:57.000000,,91.0,91.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n610,doc2text,jlsutherland/doc2text,doc2text,,,ocr,,https://github.com/jlsutherland/doc2text,https://github.com/jlsutherland/doc2text,MIT,2016-08-28 19:30:02.000000,2020-12-01 22:56:27.000000,2020-12-01 22:56:26.000000,91.0,12.0,9.0,1223.0,62.0,2016-09-06 21:59:21.000000,0.2.4,5.0,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,32.0,32.0,5.0,19,https://pypi.org/project/doc2text,2016-09-06 21:59:21.000000,,269.0,269.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n611,Sweetviz,fbdesignpro/sweetviz,sweetviz,,,data-viz,,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47.000000,2020-12-10 14:32:35.000000,2020-12-10 14:30:47.000000,132.0,21.0,43.0,1175.0,77.0,2020-12-10 14:32:35.000000,2.0.4,22.0,\"Visualize and compare datasets, target values and associations, with one line of code.\",,,6.0,19,https://pypi.org/project/sweetviz,2020-12-10 14:32:35.000000,,7880.0,7880.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n612,TaskTiger,closeio/tasktiger,tasktiger,,,data-pipelines,,https://github.com/closeio/tasktiger,https://github.com/closeio/tasktiger,MIT,2015-05-14 00:26:32.000000,2020-12-23 18:56:06.000000,2020-12-17 16:07:11.000000,58.0,30.0,31.0,1036.0,250.0,2019-10-29 19:32:58.000000,0.10.1,22.0,Python task queue using Redis.,28.0,19.0,19.0,19,https://pypi.org/project/tasktiger,2020-06-18 22:08:56.000000,9.0,420.0,420.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n613,Higher,facebookresearch/higher,higher,,,pytorch-utils,['pytorch'],https://github.com/facebookresearch/higher,https://github.com/facebookresearch/higher,Apache-2.0,2019-09-06 18:58:36.000000,2020-11-23 06:15:24.000000,2020-10-28 16:53:07.000000,72.0,23.0,46.0,1006.0,28.0,2020-07-14 12:20:32.000000,0.2.1,2.0,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,27.0,27.0,6.0,19,https://pypi.org/project/higher,2020-07-14 12:20:32.000000,,545.0,545.0,,,,True,3,,,,,,,,,,,,,,,,5.0,,,,,,,,,,\n614,Torch Points 3D,nicolas-chaulet/torch-points3d,torch-points3d,,,image,['pytorch'],https://github.com/nicolas-chaulet/torch-points3d,https://github.com/nicolas-chaulet/torch-points3d,BSD-3-Clause,2019-12-06 11:33:34.000000,2020-12-18 10:42:40.000000,2020-12-18 10:42:39.000000,140.0,41.0,144.0,942.0,1562.0,2020-12-18 10:33:50.000000,1.2.0,13.0,Pytorch framework for doing deep learning on point clouds.,2.0,2.0,18.0,19,https://pypi.org/project/torch-points3d,2020-12-18 10:34:16.000000,,299.0,299.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n615,Databolt Flow,d6t/d6tflow,d6tflow,,,data-pipelines,,https://github.com/d6t/d6tflow,https://github.com/d6t/d6tflow,MIT,2019-02-03 01:51:22.000000,2020-12-19 22:37:20.000000,2020-12-19 21:46:11.000000,64.0,5.0,11.0,888.0,106.0,2020-10-19 04:14:45.000000,0.2.2,19.0,Python library for building highly effective data science workflows.,12.0,12.0,10.0,19,https://pypi.org/project/d6tflow,2020-12-19 22:37:20.000000,,234.0,234.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n616,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,pytorch_toolbelt,,,pytorch-utils,['pytorch'],https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000000,2020-12-24 19:40:48.000000,2020-12-24 19:40:43.000000,71.0,3.0,14.0,868.0,489.0,2020-08-19 10:33:17.000000,0.4.0,18.0,PyTorch extensions for fast R&D prototyping and Kaggle farming.,1.0,,4.0,19,https://pypi.org/project/pytorch_toolbelt,2020-08-19 10:33:17.000000,1.0,3841.0,3841.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n617,Paddle Graph Learning,PaddlePaddle/PGL,pgl,,,graph,['paddle'],https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28.000000,2020-12-24 02:51:06.000000,2020-12-14 07:02:53.000000,110.0,14.0,27.0,851.0,349.0,2020-12-18 16:59:53.000000,2.0.0a,6.0,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,10.0,9.0,17.0,19,https://pypi.org/project/pgl,2020-11-20 06:23:47.000000,1.0,762.0,762.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n618,TensorFrames,databricks/tensorframes,tensorframes,,,distributed-ml,\"['tensorflow', 'spark']\",https://github.com/databricks/tensorframes,https://github.com/databricks/tensorframes,Apache-2.0,2016-03-04 19:25:19.000000,2020-11-13 17:47:02.000000,2019-11-15 21:43:53.000000,159.0,51.0,43.0,768.0,221.0,2018-11-16 20:50:02.000000,0.6.0,6.0,[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark.,,,16.0,19,https://pypi.org/project/tensorframes,2018-05-16 14:20:28.000000,,6456.0,6456.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n619,TabNet,dreamquark-ai/tabnet,pytorch-tabnet,,,pytorch-utils,['pytorch'],https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000000,2020-12-26 18:09:43.000000,2020-12-24 13:52:53.000000,128.0,30.0,95.0,688.0,158.0,2020-12-15 12:44:24.000000,3.0.0,15.0,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,,,17.0,19,https://pypi.org/project/pytorch-tabnet,2020-12-15 12:44:24.000000,,6577.0,6577.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n620,TF Recommenders,tensorflow/recommenders,tensorflow-recommenders,,,recommender-systems,['tensorflow'],https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01.000000,2020-12-22 22:54:51.000000,2020-12-22 22:54:40.000000,65.0,24.0,40.0,663.0,,2020-12-22 19:24:59.000000,0.3.2,7.0,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,10.0,10.0,16.0,19,https://pypi.org/project/tensorflow-recommenders,2020-12-22 19:24:59.000000,,3149.0,3149.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n621,mlens,flennerhag/mlens,mlens,,,others,,https://github.com/flennerhag/mlens,https://github.com/flennerhag/mlens,MIT,2017-01-10 20:53:47.000000,2020-02-25 14:32:48.000000,2020-02-25 14:31:53.000000,81.0,8.0,73.0,663.0,879.0,2018-10-30 22:34:35.000000,0.2.3,14.0,ML-Ensemble high performance ensemble learning.,93.0,93.0,7.0,19,https://pypi.org/project/mlens,2018-10-30 22:30:43.000000,,881.0,881.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n622,NGT,yahoojapan/NGT,ngt,,,nn-search,,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000000,2020-11-17 22:33:08.000000,2020-11-17 22:32:45.000000,67.0,7.0,66.0,605.0,113.0,2020-08-19 04:31:59.000000,1.12.2,45.0,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,3.0,,10.0,19,https://pypi.org/project/ngt,2020-09-23 06:52:45.000000,3.0,3346.0,3346.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n623,PFRL,pfnet/pfrl,pfrl,,,reinforcement-learning,,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50.000000,2020-12-20 17:22:25.000000,2020-12-17 08:58:39.000000,56.0,22.0,19.0,462.0,315.0,2020-12-17 04:57:58.000000,0.2.1,4.0,PFRL: a PyTorch-based deep reinforcement learning library.,4.0,4.0,10.0,19,https://pypi.org/project/pfrl,2020-12-17 05:00:25.000000,,606.0,606.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n624,HpBandSter,automl/HpBandSter,hpbandster,,,hyperopt,,https://github.com/automl/HpBandSter,https://github.com/automl/HpBandSter,BSD-3-Clause,2017-12-17 20:28:20.000000,2020-09-06 09:54:54.000000,2019-03-26 09:26:28.000000,90.0,53.0,34.0,429.0,187.0,2019-07-30 12:47:43.000000,1.0,6.0,a distributed Hyperband implementation on Steroids.,119.0,103.0,10.0,19,https://pypi.org/project/hpbandster,2018-10-24 09:31:01.000000,16.0,5800.0,5800.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n625,Poutyne,GRAAL-Research/poutyne,poutyne,,,pytorch-utils,['pytorch'],https://github.com/GRAAL-Research/poutyne,https://github.com/GRAAL-Research/poutyne,LGPL-3.0,2017-12-07 18:30:17.000000,2020-12-24 21:45:11.000000,2020-12-24 16:52:02.000000,47.0,12.0,33.0,420.0,495.0,2020-12-24 17:01:16.000000,1.2,18.0,A simplified framework and utilities for PyTorch.,52.0,50.0,15.0,19,https://pypi.org/project/poutyne,2020-12-24 17:02:00.000000,2.0,740.0,740.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n626,seglearn,dmbee/seglearn,seglearn,,,time-series-data,,https://github.com/dmbee/seglearn,https://github.com/dmbee/seglearn,BSD-3-Clause,2018-03-05 20:53:59.000000,2020-11-08 14:51:01.000000,2020-11-08 14:45:42.000000,45.0,6.0,18.0,409.0,264.0,2020-04-02 15:26:06.000000,1.2.1,20.0,Python module for machine learning time series:.,7.0,6.0,13.0,19,https://pypi.org/project/seglearn,2020-04-02 15:26:06.000000,1.0,2885.0,2885.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n627,Feature Engine,solegalli/feature_engine,feature_engine,conda-forge/feature_engine,,others,,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2018-12-31 01:47:18.000000,2020-12-27 00:26:25.000000,2020-12-21 16:00:47.000000,121.0,25.0,64.0,398.0,93.0,2020-09-21 11:05:42.000000,0.6.1,22.0,Feature engineering package with sklearn like functionality.,1.0,,18.0,19,https://pypi.org/project/feature_engine,2020-09-21 11:05:42.000000,1.0,14689.0,14947.0,https://anaconda.org/conda-forge/feature_engine,2020-09-22 06:48:29.493000,1033.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n628,MXBoard,awslabs/mxboard,mxboard,,,ml-experiments,['mxnet'],https://github.com/awslabs/mxboard,https://github.com/awslabs/mxboard,Apache-2.0,2018-02-06 23:03:51.000000,2020-01-24 23:21:56.000000,2020-01-24 23:21:55.000000,46.0,16.0,15.0,329.0,42.0,2018-05-22 20:25:51.000000,0.1.0,12.0,Logging MXNet data for visualization in TensorBoard.,91.0,90.0,9.0,19,https://pypi.org/project/mxboard,2018-05-22 20:25:51.000000,1.0,2737.0,2737.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n629,Sherpa,sherpa-ai/sherpa,parameter-sherpa,,,hyperopt,,https://github.com/sherpa-ai/sherpa,https://github.com/sherpa-ai/sherpa,GPL-3.0,2018-05-16 21:41:54.000000,2020-10-18 07:57:50.000000,2020-10-18 07:57:48.000000,42.0,11.0,41.0,277.0,823.0,2020-07-31 05:29:09.000000,1.0.7,8.0,\"Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.\",8.0,7.0,43.0,19,https://pypi.org/project/parameter-sherpa,2019-11-23 21:32:27.000000,1.0,452.0,452.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n630,PyKEEN,pykeen/pykeen,pykeen,,,graph,,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000000,2020-12-23 14:14:49.000000,2020-12-22 16:20:55.000000,41.0,33.0,57.0,272.0,2255.0,2020-10-21 11:59:14.000000,1.0.5,31.0,A Python library for learning and evaluating knowledge graph embeddings.,1.0,,17.0,19,https://pypi.org/project/pykeen,2020-08-25 14:33:23.000000,1.0,351.0,357.0,,,,True,3,37.0,,,,,,,,,,,,,,,,,,,,,,,,,\n631,textpipe,textpipe/textpipe,textpipe,,,nlp,,https://github.com/textpipe/textpipe,https://github.com/textpipe/textpipe,MIT,2018-06-21 16:23:32.000000,2020-12-21 08:29:38.000000,2020-10-12 08:19:03.000000,17.0,20.0,24.0,260.0,366.0,2020-10-12 08:24:19.000000,0.12.1,38.0,Textpipe: clean and extract metadata from text.,7.0,6.0,27.0,19,https://pypi.org/project/textpipe,2020-10-12 08:24:19.000000,1.0,413.0,413.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n632,pyfasttext,vrasneur/pyfasttext,pyfasttext,,,nlp,,https://github.com/vrasneur/pyfasttext,https://github.com/vrasneur/pyfasttext,GPL-3.0,2017-06-30 18:44:42.000000,2018-12-08 15:32:09.000000,2018-12-08 15:02:12.000000,31.0,19.0,28.0,229.0,153.0,2018-12-08 15:02:54.000000,0.4.6,13.0,Yet another Python binding for fastText.,132.0,127.0,4.0,19,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09.000000,5.0,2763.0,2770.0,,,,False,3,304.0,,,,,,,,,,,,,,,,,,,,,,,,,\n633,Brainiak,brainiak/brainiak,brainiak,,,medical-data,,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27.000000,2020-10-15 21:11:03.379549,2020-10-15 16:28:46.000000,105.0,63.0,117.0,229.0,388.0,2019-08-27 23:52:29.000000,0.9.1,15.0,Brain Imaging Analysis Kit.,12.0,11.0,32.0,19,https://pypi.org/project/brainiak,2020-10-15 20:45:08.000000,1.0,129.0,136.0,,,,True,3,,,,brainiak/brainiak,https://hub.docker.com/r/brainiak/brainiak,2020-10-15 21:11:03.379549,1.0,449.0,,,,,,,,,,,,,,,,,,\n634,Spotlight,maciejkula/spotlight,,maciejkula/spotlight,,recommender-systems,['pytorch'],https://github.com/maciejkula/spotlight,https://github.com/maciejkula/spotlight,MIT,2017-06-25 18:52:19.000000,2020-11-15 08:21:28.000000,2020-02-09 21:03:48.000000,366.0,64.0,48.0,2369.0,299.0,2019-09-08 10:19:53.000000,0.1.6,7.0,Deep recommender models using PyTorch.,,,11.0,18,,,,,140.0,https://anaconda.org/maciejkula/spotlight,2018-05-27 18:32:12.235000,5880.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n635,Crypto Signals,CryptoSignal/crypto-signal,,,,financial-data,,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24.000000,2020-12-05 09:57:16.000000,2020-09-03 12:26:48.000000,637.0,43.0,187.0,2355.0,563.0,,,,\"Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 2,100 + stars, 580 + forks.\",,,25.0,18,,,,,1042.0,,,,True,3,,,,shadowreaver/crypto-signal,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133,7.0,40647.0,,,,,,,,,,,,,,,,,,\n636,Mara Pipelines,mara/mara-pipelines,mara-pipelines,,,data-pipelines,,https://github.com/mara/mara-pipelines,https://github.com/mara/mara-pipelines,MIT,2018-03-31 20:37:22.000000,2020-12-11 13:00:33.000000,2020-07-31 19:24:31.000000,76.0,6.0,11.0,1595.0,127.0,2020-07-31 19:31:29.000000,3.1.1,7.0,\"A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow.\",7.0,7.0,15.0,18,https://pypi.org/project/mara-pipelines,2020-07-31 19:26:16.000000,,42.0,42.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n637,NeuroNER,Franck-Dernoncourt/NeuroNER,pyneuroner,,,nlp,,https://github.com/Franck-Dernoncourt/NeuroNER,https://github.com/Franck-Dernoncourt/NeuroNER,MIT,2017-03-07 01:24:15.000000,2020-11-13 18:07:48.000000,2019-10-02 23:26:11.000000,440.0,77.0,67.0,1518.0,132.0,2019-10-02 23:30:15.000000,1.0.8,7.0,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,8.0,8.0,7.0,18,https://pypi.org/project/pyneuroner,2019-10-02 23:30:15.000000,,106.0,106.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n638,Cola,qinxuye/cola,cola,,,web-scraping,,https://github.com/qinxuye/cola,https://github.com/qinxuye/cola,Apache-2.0,2013-05-15 06:41:01.000000,2020-03-01 06:25:06.000000,2020-03-01 06:25:05.000000,544.0,14.0,52.0,1386.0,254.0,2016-03-31 04:19:26.000000,0.1.0,3.0,A high-level distributed crawling framework.,4.0,3.0,3.0,18,https://pypi.org/project/cola,2016-03-31 04:19:26.000000,1.0,59.0,59.0,,,,True,3,,,,,,,,,,,,,,,True,,,,,,,,,,,\n639,Antialiased CNNs,adobe/antialiased-cnns,antialiased-cnns,,,pytorch-utils,['pytorch'],https://github.com/adobe/antialiased-cnns,https://github.com/adobe/antialiased-cnns,CC BY-NC-SA 4.0,2019-05-14 20:51:25.000000,2020-10-23 22:45:52.000000,2020-10-22 19:40:07.000000,167.0,9.0,28.0,1317.0,238.0,2020-10-23 22:45:52.000000,0.3,6.0,pip install antialiased-cnns to improve stability and accuracy.,,,6.0,18,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49.000000,,323.0,323.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n640,Bounter,RaRe-Technologies/bounter,bounter,,,data-containers,,https://github.com/RaRe-Technologies/bounter,https://github.com/RaRe-Technologies/bounter,MIT,2017-07-18 07:24:15.000000,2020-08-17 06:37:51.000000,2020-08-16 11:55:16.000000,48.0,11.0,9.0,887.0,152.0,2019-01-17 09:39:52.000000,1.1.1,7.0,Efficient Counter that uses a limited (bounded) amount of memory regardless of data size.,34.0,20.0,8.0,18,https://pypi.org/project/bounter,2020-08-17 06:37:51.000000,14.0,332.0,332.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n641,advertorch,BorealisAI/advertorch,advertorch,,,adversarial,['pytorch'],https://github.com/BorealisAI/advertorch,https://github.com/BorealisAI/advertorch,GPL-3.0,2018-11-29 22:17:33.000000,2020-09-25 15:01:47.000000,2020-06-15 01:16:18.000000,118.0,13.0,28.0,779.0,270.0,2020-06-15 01:20:07.000000,0.2.3,10.0,A Toolbox for Adversarial Robustness Research.,32.0,29.0,16.0,18,https://pypi.org/project/advertorch,2020-06-15 01:20:07.000000,3.0,1723.0,1723.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n642,calamari,Calamari-OCR/calamari,calamari_ocr,,,ocr,,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,Apache-2.0,2018-03-20 15:22:29.000000,2020-12-21 11:50:15.000000,2020-12-21 08:28:04.000000,161.0,20.0,132.0,753.0,260.0,2020-03-29 13:38:21.000000,1.0.5,22.0,Line based ATR Engine based on OCRopy.,2.0,,17.0,18,https://pypi.org/project/calamari_ocr,2018-11-13 11:24:45.000000,2.0,535.0,535.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n643,pytorch2keras,nerox8664/pytorch2keras,pytorch2keras,,,model-serialisation,,https://github.com/nerox8664/pytorch2keras,https://github.com/nerox8664/pytorch2keras,MIT,2017-11-16 20:21:43.000000,2020-05-14 10:03:56.000000,2020-05-14 10:03:04.000000,109.0,39.0,65.0,644.0,277.0,2020-05-14 10:03:56.000000,0.2.4,23.0,PyTorch to Keras model convertor.,17.0,16.0,11.0,18,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56.000000,1.0,583.0,583.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n644,Test Tube,williamFalcon/test-tube,test_tube,,,hyperopt,,https://github.com/williamFalcon/test-tube,https://github.com/williamFalcon/test-tube,MIT,2017-09-06 02:14:57.000000,2020-04-11 20:36:36.000000,2020-03-17 22:44:47.000000,59.0,22.0,21.0,643.0,642.0,2019-12-01 00:47:35.000000,0.7.4,53.0,Python library to easily log experiments and parallelize hyperparameter search for neural networks.,5.0,,16.0,18,https://pypi.org/project/test_tube,2018-12-12 22:45:59.000000,5.0,7657.0,7657.0,,,,True,3,7.0,,,,,,,,,,,,,,,,,,,,,,,,,\n645,Saliency,PAIR-code/saliency,saliency,,,tensorflow-utils,['tensorflow'],https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35.000000,2020-10-15 21:38:20.000000,2020-10-01 22:54:59.000000,131.0,11.0,10.0,612.0,64.0,2019-09-26 17:59:23.000000,0.0.5,5.0,\"TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques.\",13.0,13.0,12.0,18,https://pypi.org/project/saliency,2019-09-26 17:59:23.000000,,162.0,162.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n646,Torchbearer,pytorchbearer/torchbearer,torchbearer,,,ml-frameworks,['pytorch'],https://github.com/pytorchbearer/torchbearer,https://github.com/pytorchbearer/torchbearer,MIT,2018-03-12 16:30:42.000000,2020-02-17 21:18:06.000000,2020-02-17 21:18:01.000000,62.0,8.0,237.0,580.0,427.0,2020-01-31 14:07:22.000000,0.5.3,24.0,torchbearer: A model fitting library for PyTorch.,40.0,37.0,13.0,18,https://pypi.org/project/torchbearer,2020-01-31 14:05:56.000000,3.0,398.0,398.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n647,vecstack,vecxoz/vecstack,vecstack,,,others,,https://github.com/vecxoz/vecstack,https://github.com/vecxoz/vecstack,MIT,2016-11-08 13:23:21.000000,2020-09-14 08:31:07.000000,2019-10-30 09:27:48.000000,66.0,,34.0,570.0,189.0,2019-08-12 16:09:01.000000,0.4.0,6.0,Python package for stacking (machine learning technique).,98.0,94.0,1.0,18,https://pypi.org/project/vecstack,2019-08-12 16:01:22.000000,4.0,775.0,775.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n648,baikal,alegonz/baikal,baikal,conda-forge/cython-blis,,others,,https://github.com/alegonz/baikal,https://github.com/alegonz/baikal,BSD-3-Clause,2019-01-21 12:59:02.000000,2020-12-07 11:23:01.451000,2020-11-15 13:39:20.000000,28.0,4.0,11.0,569.0,393.0,2020-05-17 12:40:17.000000,0.4.2,7.0,A graph-based functional API for building complex scikit-learn pipelines.,2.0,2.0,1.0,18,https://pypi.org/project/baikal,2020-11-15 13:40:18.000000,,51.0,18037.0,https://anaconda.org/conda-forge/cython-blis,2020-12-07 11:23:01.451000,377712.0,True,3,,,,,,,,,,,,,,,,3.0,,,,,,,,,,\n649,Dragonfly,dragonfly/dragonfly,dragonfly-opt,,,hyperopt,,https://github.com/dragonfly/dragonfly,https://github.com/dragonfly/dragonfly,MIT,2018-04-20 22:19:50.000000,2020-07-26 17:44:31.000000,2020-07-03 18:01:17.000000,72.0,21.0,17.0,551.0,397.0,2020-07-03 18:05:12.000000,0.1.6,9.0,An open source python library for scalable Bayesian optimisation.,2.0,,12.0,18,https://pypi.org/project/dragonfly-opt,2020-07-03 18:05:12.000000,2.0,3919.0,3919.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n650,pyhsmm,mattjj/pyhsmm,pyhsmm,,,probabilistics,,https://github.com/mattjj/pyhsmm,https://github.com/mattjj/pyhsmm,MIT,2012-03-18 17:40:13.000000,2020-09-29 20:58:26.000000,2020-08-24 17:03:59.000000,146.0,33.0,60.0,474.0,1426.0,2017-05-10 17:14:37.000000,0.1.7,8.0,Bayesian inference in HSMMs and HMMs.,21.0,17.0,13.0,18,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37.000000,4.0,75.0,75.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n651,pytorch-forecasting,jdb78/pytorch-forecasting,pytorch-forecasting,,,time-series-data,,https://github.com/jdb78/pytorch-forecasting,https://github.com/jdb78/pytorch-forecasting,MIT,2020-07-03 13:05:24.000000,2020-12-27 15:52:45.000000,2020-12-27 15:52:43.000000,48.0,19.0,50.0,458.0,527.0,2020-12-07 22:17:50.000000,0.7.1,19.0,Time series forecasting with PyTorch.,,,9.0,18,https://pypi.org/project/pytorch-forecasting,2020-12-03 21:53:32.000000,,3872.0,3872.0,,,,True,3,,,,,,,,,,,,,,,True,,,,,,,,,,,\n652,PugSQL,mcfunley/pugsql,pugsql,,,db-clients,,https://github.com/mcfunley/pugsql,https://github.com/mcfunley/pugsql,Apache-2.0,2019-05-19 16:55:38.000000,2020-12-15 20:56:53.000000,2020-09-13 06:06:13.000000,13.0,13.0,19.0,403.0,254.0,2020-09-03 22:44:19.000000,0.2.2,23.0,A HugSQL-inspired database library for Python.,1.0,,10.0,18,https://pypi.org/project/pugsql,2020-09-13 05:35:42.000000,1.0,1888.0,1888.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n653,What-If Tool,PAIR-code/what-if-tool,witwidget,,,interpretability,,https://github.com/PAIR-code/what-if-tool,https://github.com/PAIR-code/what-if-tool,Apache-2.0,2018-09-07 20:26:10.000000,2020-12-22 22:05:29.000000,2020-12-22 13:44:23.000000,87.0,36.0,32.0,403.0,289.0,2020-06-28 14:23:49.040000,1.7.0,36.0,Source code/webpage/demos for the What-If Tool.,,,18.0,18,https://pypi.org/project/witwidget,2020-06-28 14:22:37.000000,,2178.0,4161.0,,,,True,3,,,,,,,,,wit-widget,https://www.npmjs.com/package/wit-widget,2020-11-03 16:28:21.255000,,1983.0,,,,,,,,,,,,,\n654,Baal,ElementAI/baal,baal,,,probabilistics,,https://github.com/ElementAI/baal,https://github.com/ElementAI/baal,Apache-2.0,2019-09-30 20:16:26.000000,2020-12-17 21:04:00.000000,2020-12-11 19:04:35.000000,24.0,12.0,22.0,302.0,92.0,2020-11-03 21:14:13.000000,1.2.1,7.0,Using approximate bayesian posteriors in deep nets for active learning.,6.0,6.0,8.0,18,https://pypi.org/project/baal,2020-11-03 21:07:08.000000,,177.0,177.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n655,sk-dist,Ibotta/sk-dist,sk-dist,,,distributed-ml,\"['sklearn', 'spark']\",https://github.com/Ibotta/sk-dist,https://github.com/Ibotta/sk-dist,Apache-2.0,2019-08-14 21:07:17.000000,2020-12-03 22:36:35.000000,2020-12-03 22:36:34.000000,42.0,6.0,9.0,250.0,45.0,2020-05-14 22:20:14.000000,0.1.9,12.0,Distributed scikit-learn meta-estimators in PySpark.,8.0,6.0,6.0,18,https://pypi.org/project/sk-dist,2020-05-14 22:20:14.000000,2.0,4714.0,4714.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n656,DeepGraph,deepgraph/deepgraph,deepgraph,conda-forge/deepgraph,,graph,['pandas'],https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45.000000,2020-10-13 10:14:55.018000,2020-10-01 13:17:00.000000,33.0,8.0,4.0,226.0,160.0,2020-10-01 13:20:38.000000,0.2.3,13.0,Analyze Data with Pandas-based Networks. Documentation:.,1.0,1.0,2.0,18,https://pypi.org/project/deepgraph,2020-10-01 13:18:38.000000,,275.0,2157.0,https://anaconda.org/conda-forge/deepgraph,2020-10-13 10:14:55.018000,75301.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n657,Funsor,pyro-ppl/funsor,funsor,,,probabilistics,['pytorch'],https://github.com/pyro-ppl/funsor,https://github.com/pyro-ppl/funsor,Apache-2.0,2019-01-30 23:13:39.000000,2020-12-25 04:12:27.000000,2020-12-21 05:56:18.000000,15.0,55.0,54.0,155.0,458.0,2020-10-15 15:54:49.000000,0.3.0,5.0,Functional tensors for probabilistic programming.,7.0,7.0,9.0,18,https://pypi.org/project/funsor,2020-10-15 15:54:49.000000,,199.0,199.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n658,BatchFlow,analysiscenter/batchflow,batchflow,,,data-pipelines,,https://github.com/analysiscenter/batchflow,https://github.com/analysiscenter/batchflow,Apache-2.0,2017-03-13 14:22:53.000000,2020-12-25 16:52:35.000000,2020-12-08 08:39:00.000000,33.0,52.0,53.0,153.0,4298.0,2019-08-23 12:21:50.000000,0.3.0,3.0,BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and..,,,28.0,18,https://pypi.org/project/batchflow,2019-08-23 12:21:50.000000,,24.0,24.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n659,Glow,projectglow/glow,glow.py,,,medical-data,,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47.000000,2020-12-23 19:16:31.000000,2020-12-23 18:26:29.000000,41.0,22.0,41.0,148.0,295.0,2020-09-10 18:38:52.000000,0.6.0,9.0,An open-source toolkit for large-scale genomic analysis.,,,11.0,18,https://pypi.org/project/glow.py,2020-09-10 01:15:03.000000,,1534.0,1534.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n660,DeepMind Lab,deepmind/lab,,,,reinforcement-learning,,https://github.com/deepmind/lab,https://github.com/deepmind/lab,GPL-2.0,2016-11-30 13:41:26.000000,2020-12-07 11:25:29.000000,2020-12-07 11:05:16.000000,1286.0,37.0,151.0,6363.0,470.0,2020-12-07 11:26:33.000000,release-2020-12-07,8.0,A customisable 3D platform for agent-based AI research.,,,7.0,17,,,,,,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n661,PaddleDetection,PaddlePaddle/PaddleDetection,,,,image,['paddle'],https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000000,2020-12-26 00:36:50.000000,2020-12-21 12:25:14.000000,590.0,273.0,808.0,2147.0,649.0,2019-11-27 05:15:38.000000,0.1.0,1.0,Object detection and instance segmentation toolkit based on PaddlePaddle.,,,43.0,17,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n662,BlazingSQL,BlazingDB/blazingsql,,blazingsql/blazingsql-protocol,,gpu-utilities,,https://github.com/BlazingDB/blazingsql,https://github.com/BlazingDB/blazingsql,Apache-2.0,2018-09-24 18:25:45.000000,2020-12-23 07:14:25.000000,2020-12-23 00:24:16.000000,133.0,238.0,318.0,1368.0,,2020-12-14 17:43:48.000000,0.17.0,15.0,\"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.\",,,39.0,17,,,,,60.0,https://anaconda.org/blazingsql/blazingsql-protocol,2019-11-11 19:54:17.621000,912.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n663,Advisor,tobegit3hub/advisor,advisor,,,hyperopt,,https://github.com/tobegit3hub/advisor,https://github.com/tobegit3hub/advisor,Apache-2.0,2017-09-14 03:50:33.000000,2019-11-11 07:09:57.869705,2019-11-11 06:59:31.000000,238.0,19.0,13.0,1324.0,165.0,2018-10-18 02:54:09.000000,0.1.6,4.0,Open-source implementation of Google Vizier for hyper parameters tuning.,,,11.0,17,https://pypi.org/project/advisor,2018-10-18 02:54:09.000000,,51.0,90.0,,,,False,3,,,,tobegit3hub/advisor,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1535.0,,,,,,,,,,,,,,,,,,\n664,River,online-ml/river,,,,others,,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000000,2020-12-27 15:39:08.000000,2020-12-27 15:37:39.000000,150.0,41.0,224.0,1222.0,2882.0,,,,Online machine learning in Python.,,,56.0,17,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n665,AdvBox,advboxes/AdvBox,advbox,,,adversarial,,https://github.com/advboxes/AdvBox,https://github.com/advboxes/AdvBox,Apache-2.0,2018-08-08 08:55:41.000000,2020-11-13 17:59:22.000000,2020-08-26 22:59:41.000000,217.0,6.0,26.0,1015.0,374.0,2018-12-05 02:48:50.000000,0.4.1,2.0,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,,,19.0,17,https://pypi.org/project/advbox,2018-12-05 02:48:50.000000,,21.0,21.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n666,sklearn-porter,nok/sklearn-porter,sklearn-porter,,,model-serialisation,['sklearn'],https://github.com/nok/sklearn-porter,https://github.com/nok/sklearn-porter,MIT,2016-06-22 22:21:34.000000,2020-10-19 07:28:00.000000,2019-12-18 13:31:50.000000,118.0,34.0,29.0,939.0,699.0,2019-04-15 22:13:06.000000,0.7.4,20.0,\"Transpile trained scikit-learn estimators to C, Java, JavaScript and others.\",1.0,,11.0,17,https://pypi.org/project/sklearn-porter,2019-12-18 13:39:19.000000,1.0,517.0,517.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n667,Backtesting.py,kernc/backtesting.py,backtesting,,,financial-data,,https://github.com/kernc/backtesting.py,https://github.com/kernc/backtesting.py,AGPL-3.0,2019-01-02 03:11:32.000000,2020-12-24 19:57:36.000000,2020-12-24 19:57:35.000000,217.0,20.0,161.0,857.0,214.0,2017-07-22 02:00:06.000000,0.0.1,1.0,Backtest trading strategies in Python.,,,8.0,17,https://pypi.org/project/backtesting,2017-07-22 02:00:06.000000,,3121.0,3121.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n668,CrypTen,facebookresearch/CrypTen,crypten,,,privacy-ml,['pytorch'],https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000000,2020-12-23 00:12:22.000000,2020-12-23 00:12:14.000000,87.0,15.0,31.0,678.0,227.0,2020-04-21 13:59:37.000000,0.1,1.0,A framework for Privacy Preserving Machine Learning.,5.0,5.0,23.0,17,https://pypi.org/project/crypten,2020-02-05 18:53:03.000000,,187.0,187.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n669,Hivemind,learning-at-home/hivemind,hivemind,,,distributed-ml,,https://github.com/learning-at-home/hivemind,https://github.com/learning-at-home/hivemind,MIT,2020-02-27 13:50:19.000000,2020-12-27 00:24:35.000000,2020-12-26 23:23:23.000000,28.0,14.0,17.0,630.0,286.0,2020-08-28 05:52:35.000000,0.8.2,5.0,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,2.0,1.0,8.0,17,https://pypi.org/project/hivemind,2020-08-28 16:00:22.000000,1.0,38.0,38.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n670,FairScale,facebookresearch/fairscale,fairscale,,,distributed-ml,['pytorch'],https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000000,2020-12-24 00:41:13.000000,2020-12-24 00:24:56.000000,39.0,24.0,49.0,589.0,175.0,2020-12-02 04:51:42.000000,0.1.1,6.0,PyTorch extensions for high performance and large scale training.,1.0,1.0,16.0,17,https://pypi.org/project/fairscale,2020-12-02 04:49:42.000000,,495.0,495.0,,,,True,3,,,,,,,,,,,,,,,True,,,,,,,,,,,\n671,Norfair,tryolabs/norfair,norfair,,,image,,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000000,2020-12-22 05:04:27.000000,2020-12-22 05:04:25.000000,37.0,5.0,11.0,583.0,242.0,2020-12-07 18:34:32.000000,0.1.8,9.0,Lightweight Python library for adding real-time 2D object tracking to any detector.,,,7.0,17,https://pypi.org/project/norfair,2020-12-07 18:34:32.000000,,246.0,246.0,,,,True,3,,,,,,,,,,,,,,,True,,,,,,,,,,,\n672,ADTK,arundo/adtk,adtk,,,time-series-data,,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22.000000,2020-04-29 19:54:40.000000,2020-04-17 02:27:44.000000,70.0,20.0,30.0,576.0,78.0,2020-04-17 02:18:00.000000,0.6.2,13.0,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,,,11.0,17,https://pypi.org/project/adtk,2020-04-17 02:18:00.000000,,34087.0,34087.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n673,ThunderGBM,Xtra-Computing/thundergbm,thundergbm,,,ml-frameworks,,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08.000000,2020-12-21 09:34:40.000000,2020-12-21 09:34:27.000000,71.0,17.0,26.0,571.0,605.0,2020-05-01 23:16:25.000000,0.3.16,24.0,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,,,10.0,17,https://pypi.org/project/thundergbm,2020-05-01 23:16:25.000000,,150.0,150.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n674,SKLL,EducationalTestingService/skll,skll,,,ml-experiments,['sklearn'],https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,BSD-1-Clause,2013-08-02 14:31:46.000000,2020-12-22 03:22:59.000000,2020-12-04 04:12:24.000000,62.0,43.0,325.0,517.0,,2020-03-13 17:22:26.000000,2.1,63.0,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,45.0,28.0,34.0,17,https://pypi.org/project/skll,2020-03-13 16:23:35.000000,17.0,440.0,440.0,,,,False,3,10.0,,,,,,,,,,,,,,,,,,,,,,,,,\n675,Performer Pytorch,lucidrains/performer-pytorch,performer-pytorch,,,pytorch-utils,['pytorch'],https://github.com/lucidrains/performer-pytorch,https://github.com/lucidrains/performer-pytorch,MIT,2020-10-03 03:41:36.000000,2020-12-18 23:09:14.000000,2020-12-14 17:09:48.000000,58.0,15.0,29.0,420.0,,2020-12-14 17:10:37.000000,0.14.9,60.0,\"An implementation of Performer, a linear attention-based transformer, in Pytorch.\",6.0,6.0,4.0,17,https://pypi.org/project/performer-pytorch,2020-12-13 20:20:46.000000,,1683.0,1683.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n676,DiCE,interpretml/DiCE,dice-ml,,,interpretability,\"['tensorflow', 'pytorch']\",https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000000,2020-12-15 13:12:57.000000,2020-12-15 13:12:50.000000,63.0,12.0,18.0,414.0,288.0,2020-09-22 06:31:10.000000,0.4,2.0,Generate Diverse Counterfactual Explanations for any machine learning model.,,,8.0,17,https://pypi.org/project/dice-ml,2020-09-22 06:57:33.000000,,167.0,167.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n677,kglib,graknlabs/kglib,grakn-kglib,,,graph,,https://github.com/graknlabs/kglib,https://github.com/graknlabs/kglib,Apache-2.0,2018-09-16 16:46:48.000000,2020-11-10 15:19:42.000000,2020-11-10 15:19:41.000000,68.0,10.0,49.0,379.0,486.0,2020-08-19 15:32:49.000000,0.2.2,7.0,Grakn Knowledge Graph Library (ML R&D).,,,7.0,17,https://pypi.org/project/grakn-kglib,2020-08-19 15:39:10.000000,,84.0,92.0,,,,True,3,206.0,,,,,,,,,,,,,,True,,,,,,,,,,,\n678,Sematch,gsi-upm/sematch,sematch,,,graph,,https://github.com/gsi-upm/sematch,https://github.com/gsi-upm/sematch,Apache-2.0,2012-11-30 11:11:53.000000,2020-11-05 21:20:52.000000,2019-03-27 03:17:24.000000,99.0,14.0,19.0,336.0,122.0,2017-04-17 10:56:52.000000,1.0.4,5.0,semantic similarity framework for knowledge graph.,29.0,26.0,5.0,17,https://pypi.org/project/sematch,2017-04-17 10:56:52.000000,3.0,58.0,58.0,,,,False,3,,,,,,,,,,,,,,,True,,,,,,,,,,,\n679,datmo,datmo/datmo,datmo,,,ml-experiments,,https://github.com/datmo/datmo,https://github.com/datmo/datmo,MIT,2017-11-03 05:46:43.000000,2019-11-29 00:48:45.000000,2019-11-29 00:48:44.000000,27.0,42.0,149.0,331.0,1051.0,2018-12-07 06:01:12.000000,0.0.40,41.0,Open source production model management tool for data scientists.,5.0,5.0,6.0,17,https://pypi.org/project/datmo,2018-12-07 06:16:42.000000,,177.0,177.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n680,Camphr,PKSHATechnology-Research/camphr,camphr,,,nlp,['spacy'],https://github.com/PKSHATechnology-Research/camphr,https://github.com/PKSHATechnology-Research/camphr,Apache-2.0,2020-02-10 03:39:58.000000,2020-12-26 00:30:58.000000,2020-12-26 00:30:55.000000,15.0,13.0,14.0,320.0,1077.0,2020-12-25 08:53:36.000000,0.7.2,37.0,\"spaCy plugin for Transformers , Udify, ELmo, etc.\",,,7.0,17,https://pypi.org/project/camphr,2020-12-25 08:53:36.000000,,569.0,569.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n681,tick,X-DataInitiative/tick,tick,,,time-series-data,,https://github.com/X-DataInitiative/tick,https://github.com/X-DataInitiative/tick,BSD-3-Clause,2016-12-01 10:59:08.000000,2020-08-11 12:36:43.000000,2020-06-15 12:01:36.000000,73.0,55.0,159.0,319.0,413.0,2019-09-11 11:25:15.000000,0.6,23.0,\"Module for statistical learning, with a particular emphasis on time-dependent modelling.\",29.0,28.0,16.0,17,https://pypi.org/project/tick,2020-05-24 22:01:17.000000,1.0,728.0,731.0,,,,True,3,155.0,,,,,,,,,,,,,,,,,,,,,,,,,\n682,Case Recommender,caserec/CaseRecommender,caserecommender,,,recommender-systems,['sklearn'],https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39.000000,2020-05-26 22:44:05.000000,2020-05-26 22:44:05.000000,66.0,6.0,16.0,305.0,201.0,2019-08-20 13:38:02.000000,1.1.0,40.0,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems.,5.0,5.0,10.0,17,https://pypi.org/project/caserecommender,2019-08-20 13:42:28.000000,,187.0,187.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n683,apricot,jmschrei/apricot,apricot-select,,,others,,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12.000000,2020-09-30 20:53:48.000000,2020-09-30 20:53:44.000000,28.0,3.0,10.0,299.0,151.0,2020-09-28 07:19:15.000000,0.6.0,13.0,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,9.0,9.0,2.0,17,https://pypi.org/project/apricot-select,2020-09-28 07:19:15.000000,,596.0,596.0,,,,True,3,8.0,,,,,,,,,,,,,,,,,,,,,,,,,\n684,Orbit,uber/orbit,orbit-ml,,,probabilistics,,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000000,2020-12-23 20:54:13.000000,2020-11-25 22:33:07.000000,12.0,22.0,140.0,291.0,571.0,2020-11-15 23:46:41.000000,1.0.9,9.0,Bayesian forecasting with object-oriented design and probabilistic models under the hood.,2.0,2.0,5.0,17,https://pypi.org/project/orbit-ml,2020-11-15 23:46:41.000000,,172.0,172.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n685,LOFO,aerdem4/lofo-importance,lofo-importance,,,interpretability,,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46.000000,2020-07-02 11:49:54.000000,2020-07-02 11:49:52.000000,40.0,1.0,10.0,287.0,24.0,2020-07-02 11:44:57.000000,0.2.6,9.0,Leave One Feature Out Importance.,3.0,3.0,3.0,17,https://pypi.org/project/lofo-importance,2020-07-02 11:44:57.000000,,216.0,216.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n686,ExplainX.ai,explainX/explainx,explainx,,,interpretability,,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15.000000,2020-12-23 22:59:24.000000,2020-12-23 18:51:51.000000,27.0,7.0,12.0,150.0,181.0,2020-10-23 17:30:47.000000,2.403,53.0,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,,,4.0,17,https://pypi.org/project/explainx,2020-12-07 22:26:30.000000,,833.0,833.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n687,ipyexperiments,stas00/ipyexperiments,ipyexperiments,,,gpu-utilities,['jupyter'],https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40.000000,2020-11-17 04:11:19.000000,2020-11-17 04:11:16.000000,9.0,,4.0,122.0,177.0,2020-11-16 07:08:34.000000,0.1.22,21.0,jupyter/ipython experiment containers for GPU and general RAM re-use.,4.0,2.0,3.0,17,https://pypi.org/project/ipyexperiments,2020-11-17 04:10:43.000000,2.0,274.0,274.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n688,nvidia-ml-py3,nicolargo/nvidia-ml-py3,nvidia-ml-py3,,,gpu-utilities,,https://github.com/nicolargo/nvidia-ml-py3,https://github.com/nicolargo/nvidia-ml-py3,BSD-3-Clause,2017-06-03 07:47:03.000000,2019-03-06 20:41:10.000000,2019-03-06 20:41:09.000000,13.0,2.0,,59.0,5.0,,,1.0,Python 3 Bindings for the NVIDIA Management Library.,2380.0,2368.0,2.0,17,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46.000000,12.0,271864.0,271864.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n689,ReAgent,facebookresearch/ReAgent,,,,reinforcement-learning,['pytorch'],https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000000,2020-12-25 22:57:37.000000,2020-12-25 22:56:57.000000,372.0,20.0,73.0,2726.0,1046.0,,,,\"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).\",,,82.0,16,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n690,LIT,PAIR-code/lit,lit-nlp,,,interpretability,,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000000,2020-12-23 17:27:23.000000,2020-11-17 00:43:10.000000,219.0,25.0,27.0,2293.0,,2020-11-17 00:53:31.000000,0.2,4.0,The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and..,,,10.0,16,https://pypi.org/project/lit-nlp,2020-11-17 00:52:37.000000,,259.0,259.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n691,automl-gs,minimaxir/automl-gs,automl_gs,,,hyperopt,,https://github.com/minimaxir/automl-gs,https://github.com/minimaxir/automl-gs,MIT,2019-01-13 18:57:44.000000,2019-10-22 11:20:40.000000,2019-04-05 06:48:14.000000,157.0,26.0,6.0,1707.0,102.0,2019-04-05 06:51:04.000000,0.2.1,2.0,\"Provide an input CSV and a target field to predict, generate a model + code to run it.\",,,7.0,16,https://pypi.org/project/automl_gs,2019-04-05 06:47:54.000000,,41.0,41.0,,,,False,3,20.0,,,,,,,,,,,,,,,,,,,,,,,,,\n692,Xcessiv,reiinakano/xcessiv,xcessiv,,,hyperopt,,https://github.com/reiinakano/xcessiv,https://github.com/reiinakano/xcessiv,Apache-2.0,2017-03-07 18:18:25.000000,2018-06-06 22:23:37.000000,2017-08-21 00:51:15.000000,103.0,21.0,13.0,1256.0,316.0,2017-08-21 00:53:25.000000,0.5.1,34.0,\"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.\",2.0,1.0,6.0,16,https://pypi.org/project/xcessiv,2017-08-21 00:49:41.000000,1.0,72.0,72.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n693,Lambda Networks,lucidrains/lambda-networks,lambda-networks,,,pytorch-utils,['pytorch'],https://github.com/lucidrains/lambda-networks,https://github.com/lucidrains/lambda-networks,MIT,2020-10-08 19:01:15.000000,2020-11-18 19:54:34.000000,2020-11-18 19:54:30.000000,126.0,8.0,15.0,1225.0,,2020-11-18 08:18:54.000000,0.4.0,11.0,\"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.\",,,3.0,16,https://pypi.org/project/lambda-networks,2020-10-20 21:49:22.000000,,480.0,480.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n694,HyperparameterHunter,HunterMcGushion/hyperparameter_hunter,hyperparameter-hunter,,,hyperopt,,https://github.com/HunterMcGushion/hyperparameter_hunter,https://github.com/HunterMcGushion/hyperparameter_hunter,MIT,2018-06-01 23:17:00.000000,2020-10-21 17:39:45.000000,2020-10-21 17:39:43.000000,77.0,36.0,84.0,632.0,1095.0,2019-08-06 09:09:45.000000,3.0.0,16.0,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries.,1.0,,3.0,16,https://pypi.org/project/hyperparameter-hunter,2019-08-06 06:01:58.000000,1.0,95.0,103.0,,,,True,3,235.0,,,,,,,,,,,,,,,,,,,,,,,,,\n695,lazydata,rstojnic/lazydata,lazydata,,,db-clients,,https://github.com/rstojnic/lazydata,https://github.com/rstojnic/lazydata,Apache-2.0,2018-08-21 12:44:27.000000,2019-02-13 18:15:09.000000,2018-10-12 11:40:26.000000,24.0,7.0,6.0,624.0,216.0,2018-09-18 21:24:41.000000,1.0.19,19.0,Lazydata: Scalable data dependencies for Python projects.,8.0,8.0,6.0,16,https://pypi.org/project/lazydata,2018-09-18 21:25:30.000000,,58.0,58.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n696,cuGraph,rapidsai/cugraph,cugraph,,,gpu-utilities,,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000000,2020-12-23 16:25:13.000000,2020-12-17 22:52:29.000000,129.0,92.0,445.0,598.0,,2020-12-10 21:54:44.000000,0.17.0,4.0,cuGraph - RAPIDS Graph Analytics Library.,,,52.0,16,https://pypi.org/project/cugraph,2019-04-04 15:31:02.000000,,62.0,62.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n697,SpeedTorch,Santosh-Gupta/SpeedTorch,SpeedTorch,,,gpu-utilities,['pytorch'],https://github.com/Santosh-Gupta/SpeedTorch,https://github.com/Santosh-Gupta/SpeedTorch,MIT,2019-09-07 18:57:52.000000,2020-02-21 23:13:29.000000,2020-02-21 23:13:28.000000,35.0,3.0,2.0,590.0,170.0,2020-01-06 05:27:17.000000,0.1.6,14.0,Library for faster pinned CPU - GPU transfer in Pytorch.,5.0,3.0,3.0,16,https://pypi.org/project/SpeedTorch,2020-01-06 05:27:17.000000,2.0,139.0,139.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n698,XAI,EthicalML/xai,xai,,,interpretability,,https://github.com/EthicalML/xai,https://github.com/EthicalML/xai,MIT,2019-01-11 20:00:09.000000,2019-10-05 10:34:58.000000,2019-10-05 10:34:50.000000,79.0,4.0,2.0,545.0,83.0,2019-01-13 21:24:01.000000,0.0.4,4.0,XAI - An eXplainability toolbox for machine learning.,15.0,9.0,2.0,16,https://pypi.org/project/xai,2019-01-13 21:24:01.000000,6.0,164.0,164.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n699,AlphaPy,ScottfreeLLC/AlphaPy,alphapy,,,hyperopt,,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32.000000,2020-09-06 12:58:26.000000,2020-09-06 12:58:25.000000,110.0,10.0,29.0,532.0,407.0,2020-08-29 18:48:20.000000,2.5.0,24.0,\"Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost.\",2.0,2.0,3.0,16,https://pypi.org/project/alphapy,2020-08-25 23:33:42.000000,,114.0,114.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n700,FlashTorch,MisaOgura/flashtorch,flashtorch,,,interpretability,['pytorch'],https://github.com/MisaOgura/flashtorch,https://github.com/MisaOgura/flashtorch,MIT,2019-03-22 13:00:57.000000,2020-12-14 23:09:26.000000,2020-05-29 14:37:29.000000,65.0,6.0,21.0,519.0,126.0,2020-05-29 14:39:38.000000,0.1.3,12.0,Visualization toolkit for neural networks in PyTorch! Demo --.,6.0,6.0,2.0,16,https://pypi.org/project/flashtorch,2020-05-29 14:38:32.000000,,210.0,210.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n701,RLax,deepmind/rlax,rlax,,,reinforcement-learning,['jax'],https://github.com/deepmind/rlax,https://github.com/deepmind/rlax,Apache-2.0,2020-02-18 07:14:59.000000,2020-12-04 16:29:56.000000,2020-12-04 16:29:20.000000,36.0,3.0,3.0,519.0,100.0,2020-02-19 23:01:30.000000,0.1.0,3.0,A library of reinforcement learning building blocks in JAX.,9.0,9.0,10.0,16,https://pypi.org/project/rlax,2020-02-19 23:01:30.000000,,129.0,129.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n702,Auto Tune Models,HDI-Project/ATM,atm,,,hyperopt,,https://github.com/HDI-Project/ATM,https://github.com/HDI-Project/ATM,MIT,2016-10-14 18:03:00.000000,2020-02-21 17:44:07.000000,2020-02-21 17:40:58.000000,122.0,17.0,71.0,501.0,775.0,2019-07-30 09:28:26.000000,0.2.2,13.0,\"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).\",6.0,6.0,16.0,16,https://pypi.org/project/atm,2019-06-24 13:31:28.000000,,105.0,105.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n703,lightly,lightly-ai/lightly,lightly,,,image,['pytorch'],https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000000,2020-12-27 11:16:13.000000,2020-12-23 17:41:13.000000,18.0,15.0,17.0,380.0,251.0,2020-12-17 17:29:23.000000,1.0.7,10.0,A python library for self-supervised learning.,,,3.0,16,https://pypi.org/project/lightly,2020-12-17 17:31:29.000000,,373.0,373.0,,,,True,3,,,,,,,,,,,,,,,True,,,,,,,,,,,\n704,OpenRec,ylongqi/openrec,openrec,,,recommender-systems,,https://github.com/ylongqi/openrec,https://github.com/ylongqi/openrec,Apache-2.0,2017-11-29 16:04:40.000000,2020-11-13 17:47:17.000000,2020-02-19 07:57:17.000000,79.0,4.0,12.0,349.0,213.0,2018-11-13 17:55:55.000000,0.2.5,11.0,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms.,2.0,1.0,10.0,16,https://pypi.org/project/openrec,2019-09-11 20:21:21.000000,1.0,63.0,63.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n705,pdvega,altair-viz/pdvega,pdvega,,,data-viz,,https://github.com/altair-viz/pdvega,https://github.com/altair-viz/pdvega,MIT,2018-01-11 21:30:27.000000,2019-03-29 16:09:14.000000,2019-03-29 16:09:13.000000,28.0,16.0,10.0,339.0,177.0,,,1.0,Interactive plotting for Pandas using Vega-Lite.,48.0,46.0,9.0,16,https://pypi.org/project/pdvega,2018-02-01 04:56:43.000000,2.0,120.0,120.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n706,Pywick,achaiah/pywick,pywick,,,pytorch-utils,['pytorch'],https://github.com/achaiah/pywick,https://github.com/achaiah/pywick,MIT,2019-03-25 15:42:47.000000,2020-11-17 16:44:11.000000,2020-09-24 19:20:06.000000,35.0,2.0,9.0,310.0,109.0,2020-01-20 22:14:21.000000,0.5.6,6.0,High-level batteries-included neural network training library for Pytorch.,2.0,2.0,4.0,16,https://pypi.org/project/pywick,2020-01-20 22:14:21.000000,,213.0,213.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n707,VizSeq,facebookresearch/vizseq,vizseq,,,nlp,,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38.000000,2020-12-13 18:55:58.000000,2020-12-13 18:55:54.000000,39.0,7.0,8.0,297.0,43.0,2020-08-07 01:13:52.000000,0.1.15,16.0,\"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).\",1.0,1.0,3.0,16,https://pypi.org/project/vizseq,2020-08-07 01:13:52.000000,,86.0,86.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n708,Headliner,as-ideas/headliner,headliner,,,nlp,,https://github.com/as-ideas/headliner,https://github.com/as-ideas/headliner,MIT,2019-09-30 11:33:28.000000,2020-02-14 09:07:46.000000,2020-02-14 09:03:27.000000,37.0,1.0,13.0,218.0,276.0,2020-01-24 09:06:29.000000,1.0.2,30.0,Easy training and deployment of seq2seq models.,4.0,3.0,2.0,16,https://pypi.org/project/headliner,2020-01-24 09:06:29.000000,1.0,390.0,390.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n709,Transistor,bomquote/transistor,transistor,,,web-scraping,,https://github.com/bomquote/transistor,https://github.com/bomquote/transistor,MIT,2018-11-12 15:25:51.000000,2020-12-12 22:37:59.000000,2020-08-16 21:52:05.000000,17.0,60.0,3.0,206.0,198.0,2020-08-03 20:20:32.000000,0.2.4,7.0,\"Transistor, a Python web scraping framework for intelligent use cases.\",,,3.0,16,https://pypi.org/project/transistor,2020-08-03 20:12:39.000000,,101.0,103.0,,,,True,3,52.0,,,,,,,,,,,,,,,,,,,,,,,,,\n710,Muda,bmcfee/muda,muda,,,audio,,https://github.com/bmcfee/muda,https://github.com/bmcfee/muda,ISC,2014-11-07 21:21:22.000000,2020-09-01 19:21:10.000000,2020-07-20 20:00:17.000000,30.0,5.0,44.0,172.0,291.0,2019-11-15 15:46:21.000000,0.4.1,11.0,A library for augmenting annotated audio data.,8.0,7.0,6.0,16,https://pypi.org/project/muda,2019-11-15 15:46:21.000000,1.0,117.0,117.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n711,elegy,poets-ai/elegy,elegy,,,ml-frameworks,\"['keras', 'jax']\",https://github.com/poets-ai/elegy,https://github.com/poets-ai/elegy,Apache-2.0,2020-06-30 14:00:37.000000,2020-12-27 09:21:41.000000,2020-12-25 14:22:01.000000,10.0,15.0,34.0,140.0,252.0,2020-12-17 15:44:27.000000,0.3.0,15.0,Elegy is a Neural Networks framework based on Jax and inspired by Keras.,,,11.0,16,https://pypi.org/project/elegy,2020-12-17 15:41:58.000000,,225.0,225.0,,,,False,3,,,,,,,,,,,,,,,True,,,,,,,,,,,\n712,Larq Compute Engine,larq/compute-engine,larq-compute-engine,,,model-serialisation,,https://github.com/larq/compute-engine,https://github.com/larq/compute-engine,Apache-2.0,2019-08-29 15:02:43.000000,2020-12-17 15:03:12.000000,2020-12-17 15:03:10.000000,18.0,21.0,86.0,119.0,438.0,2020-09-21 13:31:57.000000,0.4.3,11.0,Highly optimized inference engine for Binarized Neural Networks.,1.0,1.0,13.0,16,https://pypi.org/project/larq-compute-engine,2020-09-21 17:41:53.000000,,659.0,671.0,,,,False,3,123.0,,,,,,,,,,,,,,,,,,,,,,,,,\n713,dabl,amueller/dabl,dabl,,,others,['sklearn'],https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49.000000,2020-12-24 02:46:52.000000,2020-07-08 16:14:41.000000,7.0,1.0,,61.0,252.0,2020-02-04 18:25:16.000000,0.1.9,10.0,Data Analysis Baseline Library.,,,18.0,16,https://pypi.org/project/dabl,2020-09-25 18:14:54.000000,,1966.0,1966.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n714,tinygrad,geohot/tinygrad,,,,pytorch-utils,['pytorch'],https://github.com/geohot/tinygrad,https://github.com/geohot/tinygrad,MIT,2020-10-18 16:23:12.000000,2020-12-27 14:58:52.000000,2020-12-27 14:58:51.000000,401.0,9.0,50.0,3742.0,445.0,,,,You like pytorch? You like micrograd? You love tinygrad!.,,,41.0,15,,,,,,,,,True,3,,,,,,,,,,,,,,,True,,,,,,,,,,,\n715,Euler,alibaba/euler,euler-gl,,,graph,['tensorflow'],https://github.com/alibaba/euler,https://github.com/alibaba/euler,Apache-2.0,2019-01-10 06:32:32.000000,2020-07-29 05:53:02.000000,2020-07-29 05:53:01.000000,499.0,200.0,97.0,2427.0,8.0,2020-07-07 02:24:18.000000,2.0.0,2.0,A distributed graph deep learning framework.,,,5.0,15,https://pypi.org/project/euler-gl,2019-04-10 01:53:45.000000,,16.0,16.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n716,GraphEmbedding,shenweichen/GraphEmbedding,,,,graph,['sklearn'],https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20.000000,2020-10-18 09:32:47.000000,2020-10-18 09:32:47.000000,528.0,26.0,13.0,1686.0,28.0,,,,Implementation and experiments of graph embedding algorithms.,7.0,7.0,6.0,15,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n717,Botflow,kkyon/botflow,botflow,,,data-pipelines,,https://github.com/kkyon/botflow,https://github.com/kkyon/botflow,BSD-3-Clause,2018-08-20 03:13:31.000000,2019-05-23 14:40:51.000000,2019-05-23 14:40:50.000000,97.0,2.0,2.0,1151.0,192.0,,,5.0,\"Python Fast Dataflow programming framework for Data pipeline work( Web Crawler,Machine Learning,Quantitative..\",1.0,1.0,11.0,15,https://pypi.org/project/botflow,2018-09-14 14:38:32.000000,,47.0,47.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n718,Translate,pytorch/translate,pytorch-translate,,,nlp,['pytorch'],https://github.com/pytorch/translate,https://github.com/pytorch/translate,BSD-3-Clause,2018-04-24 16:44:04.000000,2020-12-22 12:28:34.000000,2020-11-16 20:42:29.000000,157.0,66.0,27.0,670.0,802.0,,,1.0,Translate - a PyTorch Language Library.,,,83.0,15,https://pypi.org/project/pytorch-translate,2018-05-01 19:59:40.000000,,14.0,14.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n719,SuperSQLite,plasticityai/supersqlite,supersqlite,,,db-clients,,https://github.com/plasticityai/supersqlite,https://github.com/plasticityai/supersqlite,MIT,2018-11-09 08:20:26.000000,2020-05-09 09:06:06.000000,2019-08-27 13:16:09.000000,18.0,3.0,1.0,655.0,221.0,2018-11-22 02:36:13.000000,0.0.78,56.0,A supercharged SQLite library for Python.,3.0,3.0,2.0,15,https://pypi.org/project/supersqlite,2018-11-19 04:01:04.000000,,207.0,207.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n720,PandaPy,firmai/pandapy,pandapy,,,data-containers,['pandas'],https://github.com/firmai/pandapy,https://github.com/firmai/pandapy,MIT,2020-01-15 18:21:23.000000,2020-11-12 16:18:45.000000,2020-11-12 16:18:44.000000,44.0,2.0,1.0,463.0,83.0,2020-11-12 16:12:54.000000,zen,22.0,PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai).,1.0,1.0,3.0,15,https://pypi.org/project/pandapy,2020-01-25 23:10:32.000000,,97.0,97.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n721,Tensor Sensor,parrt/tensor-sensor,tensor-sensor,,,pytorch-utils,['pytorch'],https://github.com/parrt/tensor-sensor,https://github.com/parrt/tensor-sensor,MIT,2020-08-28 22:54:04.000000,2020-12-03 20:46:15.000000,2020-12-03 20:45:45.000000,22.0,4.0,12.0,432.0,148.0,2020-12-03 20:46:15.000000,0.1.1,33.0,The goal of this library is to generate more helpful exception messages for numpy/pytorch matrix algebra expressions.,,,2.0,15,https://pypi.org/project/tensor-sensor,2020-12-03 20:40:56.000000,,389.0,389.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n722,cuSignal,rapidsai/cusignal,,,,gpu-utilities,,https://github.com/rapidsai/cusignal,https://github.com/rapidsai/cusignal,Apache-2.0,2019-08-22 14:27:27.000000,2020-12-15 18:46:05.000000,2020-12-15 18:46:03.000000,56.0,17.0,80.0,428.0,,2020-12-10 21:29:50.000000,0.17.0,3.0,GPU accelerated signal processing.,,,27.0,15,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n723,TF Compression,tensorflow/compression,tensorflow-compression,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19.000000,2020-12-17 23:16:37.000000,2020-12-17 23:14:56.000000,142.0,3.0,51.0,404.0,131.0,2019-11-20 01:04:19.000000,1.3,7.0,Data compression in TensorFlow.,1.0,,9.0,15,https://pypi.org/project/tensorflow-compression,2020-12-04 19:23:50.000000,1.0,562.0,562.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n724,Parfit,jmcarpenter2/parfit,parfit,,,hyperopt,['sklearn'],https://github.com/jmcarpenter2/parfit,https://github.com/jmcarpenter2/parfit,MIT,2017-11-22 20:17:51.000000,2020-04-04 19:26:44.000000,2020-04-04 19:26:37.000000,26.0,5.0,5.0,199.0,127.0,,,23.0,\"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..\",6.0,6.0,2.0,15,https://pypi.org/project/parfit,2018-10-11 22:03:16.000000,,4113.0,4113.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n725,NeuralQA,victordibia/neuralqa,neuralqa,,,nlp,,https://github.com/victordibia/neuralqa,https://github.com/victordibia/neuralqa,MIT,2020-05-19 03:55:56.000000,2020-12-16 17:42:12.000000,2020-12-16 17:41:37.000000,23.0,18.0,8.0,180.0,312.0,,,26.0,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,1.0,1.0,3.0,15,https://pypi.org/project/neuralqa,2020-07-29 16:39:37.000000,,119.0,119.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n726,steppy,minerva-ml/steppy,steppy,,,ml-experiments,,https://github.com/minerva-ml/steppy,https://github.com/minerva-ml/steppy,MIT,2018-01-15 09:40:49.000000,2018-11-23 09:49:59.000000,2018-11-23 09:47:34.000000,31.0,16.0,50.0,125.0,69.0,2018-11-23 09:49:59.000000,0.1.16,16.0,\"Lightweight, Python library for fast and reproducible experimentation.\",41.0,36.0,5.0,15,https://pypi.org/project/steppy,2018-11-23 09:49:59.000000,5.0,73.0,73.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n727,nptsne,biovault/nptsne,nptsne,,,data-viz,,https://github.com/biovault/nptsne,https://github.com/biovault/nptsne,Apache-2.0,2019-06-28 08:40:25.000000,2020-11-16 13:56:05.000000,2020-11-13 16:38:47.000000,2.0,7.0,2.0,24.0,834.0,2020-09-10 23:54:14.000000,1.1.0,2.0,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,2.0,2.0,3.0,15,https://pypi.org/project/nptsne,2020-09-10 23:54:14.000000,,150.0,150.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n728,DE⫶TR,facebookresearch/detr,,,,image,['pytorch'],https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52.000000,2020-12-04 20:03:39.000000,2020-11-15 16:03:45.000000,800.0,56.0,195.0,5694.0,41.0,2020-06-29 16:41:01.000000,0.2,1.0,End-to-End Object Detection with Transformers.,,,19.0,14,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n729,PySlowFast,facebookresearch/SlowFast,,,,image,['pytorch'],https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26.000000,2020-12-17 20:29:47.000000,2020-12-17 20:29:39.000000,583.0,151.0,182.0,3207.0,93.0,,,,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,2.0,2.0,18.0,14,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n730,OpenNRE,thunlp/OpenNRE,,,,nlp,,https://github.com/thunlp/OpenNRE,https://github.com/thunlp/OpenNRE,MIT,2017-02-26 07:37:12.000000,2020-11-12 09:44:58.000000,2020-09-15 02:44:06.000000,830.0,12.0,284.0,2909.0,133.0,,,,An Open-Source Package for Neural Relation Extraction (NRE).,,,9.0,14,,,,,,,,,True,3,,,,,,,,,,,,,,,True,,,,,,,,,,,\n731,ENAS,carpedm20/ENAS-pytorch,,,,hyperopt,,https://github.com/carpedm20/ENAS-pytorch,https://github.com/carpedm20/ENAS-pytorch,Apache-2.0,2018-02-15 04:54:37.000000,2020-12-09 18:13:03.000000,2020-06-16 07:23:32.000000,436.0,37.0,7.0,2357.0,53.0,,,,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,,,6.0,14,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n732,GraphSAGE,williamleif/GraphSAGE,,,,graph,['tensorflow'],https://github.com/williamleif/GraphSAGE,https://github.com/williamleif/GraphSAGE,MIT,2017-05-29 15:36:22.000000,2020-11-13 17:49:54.000000,2018-09-19 19:27:00.000000,594.0,77.0,58.0,2048.0,59.0,,,,Representation learning on large graphs using stochastic graph convolutions.,,,9.0,14,,,,,,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n733,ZhuSuan,thu-ml/zhusuan,,,,probabilistics,['tensorflow'],https://github.com/thu-ml/zhusuan,https://github.com/thu-ml/zhusuan,MIT,2016-07-18 13:31:38.000000,2020-01-09 14:51:27.000000,2019-08-05 10:00:04.000000,378.0,8.0,53.0,1994.0,439.0,,,,\"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.\",,,20.0,14,,,,,,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n734,lazynlp,chiphuyen/lazynlp,,,,web-scraping,,https://github.com/chiphuyen/lazynlp,https://github.com/chiphuyen/lazynlp,MIT,2019-02-27 23:23:19.000000,2020-11-11 12:16:30.000000,2019-10-07 16:52:30.000000,281.0,5.0,3.0,1883.0,14.0,2019-03-02 17:38:27.000000,1.0.0,1.0,Library to scrape and clean web pages to create massive datasets.,,,7.0,14,,,,,,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n735,micrograd,karpathy/micrograd,micrograd,,,pytorch-utils,['pytorch'],https://github.com/karpathy/micrograd,https://github.com/karpathy/micrograd,MIT,2020-04-13 04:31:18.000000,2020-12-18 12:55:50.000000,2020-04-18 19:15:25.000000,104.0,2.0,3.0,1498.0,24.0,2020-04-18 19:06:59.000000,0.1.0,1.0,A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.,,,2.0,14,https://pypi.org/project/micrograd,2020-04-18 19:06:59.000000,,44.0,44.0,,,,True,3,,,,,,,,,,,,,,,True,,,,,,,,,,,\n736,OpenNE,thunlp/OpenNE,,,,graph,['tensorflow'],https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20.000000,2020-11-30 14:02:23.000000,2019-08-12 10:56:27.000000,440.0,50.0,81.0,1384.0,98.0,,,,An Open-Source Package for Network Embedding (NE).,,,10.0,14,,,,,,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n737,MedicalTorch,perone/medicaltorch,medicaltorch,,,medical-data,['pytorch'],https://github.com/perone/medicaltorch,https://github.com/perone/medicaltorch,Apache-2.0,2018-02-27 02:50:07.000000,2020-09-30 13:21:57.000000,2019-08-15 10:03:51.000000,106.0,14.0,9.0,700.0,55.0,2018-11-24 00:33:11.000000,0.2,2.0,A medical imaging framework for Pytorch.,9.0,9.0,7.0,14,https://pypi.org/project/medicaltorch,2018-11-24 00:29:36.000000,,118.0,118.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n738,torchsde,google-research/torchsde,,,,pytorch-utils,['pytorch'],https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11.000000,2020-12-24 22:32:29.000000,2020-10-30 16:15:49.000000,52.0,5.0,26.0,623.0,137.0,2020-10-22 16:12:07.000000,0.2.1,3.0,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,,,4.0,14,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n739,Anchor,marcotcr/anchor,anchor_exp,,,interpretability,,https://github.com/marcotcr/anchor,https://github.com/marcotcr/anchor,BSD-2-Clause,2018-02-02 23:38:50.000000,2020-09-10 17:49:26.000000,2020-09-10 17:48:28.000000,87.0,8.0,44.0,610.0,39.0,,,8.0,Code for High-Precision Model-Agnostic Explanations paper.,,,8.0,14,https://pypi.org/project/anchor_exp,2020-06-26 20:56:50.000000,,610.0,610.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n740,Tez,abhishekkrthakur/tez,tez,,,pytorch-utils,['pytorch'],https://github.com/abhishekkrthakur/tez,https://github.com/abhishekkrthakur/tez,Apache-2.0,2020-11-13 10:19:22.000000,2020-12-26 12:37:23.000000,2020-12-26 12:36:57.000000,38.0,4.0,5.0,355.0,,2020-12-26 12:37:23.000000,0.0.8,7.0,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,,,1.0,14,https://pypi.org/project/tez,2020-12-26 12:37:23.000000,,907.0,907.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n741,TransferNLP,feedly/transfer-nlp,transfer-nlp,,,nlp,['pytorch'],https://github.com/feedly/transfer-nlp,https://github.com/feedly/transfer-nlp,MIT,2019-03-12 20:00:31.000000,2020-05-28 19:00:02.000000,2020-05-28 17:31:53.000000,18.0,4.0,19.0,285.0,465.0,2020-05-28 19:00:02.000000,0.1.6,8.0,NLP library designed for reproducible experimentation management.,,,7.0,14,https://pypi.org/project/transfer-nlp,2020-05-28 19:00:02.000000,,80.0,80.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n742,nx-altair,Zsailer/nx_altair,nx-altair,,,data-viz,['jupyter'],https://github.com/Zsailer/nx_altair,https://github.com/Zsailer/nx_altair,MIT,2018-05-13 00:10:12.000000,2020-09-30 12:01:08.000000,2020-06-02 21:10:26.000000,19.0,4.0,4.0,151.0,51.0,2020-06-02 21:11:12.000000,0.1.6,8.0,Draw interactive NetworkX graphs with Altair.,2.0,,3.0,14,https://pypi.org/project/nx-altair,2020-06-02 21:11:12.000000,2.0,186.0,186.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n743,ModelChimp,ModelChimp/modelchimp,modelchimp,,,ml-experiments,,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03.000000,2020-12-24 02:55:08.000000,2019-12-06 08:58:55.000000,11.0,4.0,10.0,118.0,357.0,2019-04-09 10:43:15.000000,0.4.0,37.0,Experiment tracking for machine and deep learning projects.,,,2.0,14,https://pypi.org/project/modelchimp,2019-04-09 10:41:20.000000,,188.0,213.0,,,,False,3,,,,modelchimp/modelchimp-server,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,634.0,,,,,,,,,,,,,,,,,,\n744,DeepNeuro,QTIM-Lab/DeepNeuro,deepneuro,,,medical-data,,https://github.com/QTIM-Lab/DeepNeuro,https://github.com/QTIM-Lab/DeepNeuro,MIT,2017-06-01 19:36:34.000000,2020-06-24 13:00:15.000000,2020-06-24 13:00:14.000000,28.0,25.0,16.0,96.0,285.0,2019-04-11 16:57:02.000000,0.2.2,5.0,A deep learning python package for neuroimaging data. Made by:.,1.0,1.0,6.0,14,https://pypi.org/project/deepneuro,2019-04-11 16:57:02.000000,,59.0,59.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n745,Hypermax,electricbrainio/hypermax,hypermax,,,hyperopt,,https://github.com/electricbrainio/hypermax,https://github.com/electricbrainio/hypermax,BSD-3-Clause,2018-07-27 18:43:01.000000,2020-08-02 18:08:50.000000,2020-08-02 18:08:46.000000,14.0,3.0,1.0,94.0,207.0,2019-10-23 15:40:12.000000,0.5.1,11.0,\"Better, faster hyper-parameter optimization.\",4.0,4.0,9.0,14,https://pypi.org/project/hypermax,2019-10-23 15:40:12.000000,,42.0,42.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n746,StarSpace,facebookresearch/StarSpace,,,,ml-frameworks,,https://github.com/facebookresearch/StarSpace,https://github.com/facebookresearch/StarSpace,MIT,2017-06-28 17:50:18.000000,2020-05-18 03:40:57.000000,2019-12-13 19:03:25.000000,475.0,46.0,146.0,3510.0,138.0,,,,\"Learning embeddings for classification, retrieval and ranking.\",,,17.0,13,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n747,OpenKE,thunlp/OpenKE,,,,graph,,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,MIT,2017-10-08 11:20:23.000000,2020-04-08 11:00:38.000000,2020-04-08 11:00:32.000000,711.0,46.0,222.0,2290.0,97.0,,,,An Open-Source Package for Knowledge Embedding (KE).,,,10.0,13,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n748,pycls,facebookresearch/pycls,,,,image,['pytorch'],https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17.000000,2020-11-29 17:48:12.000000,2020-11-20 22:19:36.000000,144.0,10.0,44.0,1393.0,66.0,2020-04-15 19:33:22.000000,0.1,1.0,\"Codebase for Image Classification Research, written in PyTorch.\",1.0,1.0,7.0,13,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n749,Medical Detection Toolkit,MIC-DKFZ/medicaldetectiontoolkit,,,,medical-data,['pytorch'],https://github.com/MIC-DKFZ/medicaldetectiontoolkit,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,Apache-2.0,2018-10-12 12:34:57.000000,2020-10-14 11:17:37.000000,2020-04-18 12:52:08.000000,227.0,27.0,85.0,877.0,36.0,,,,\"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..\",,,3.0,13,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n750,Torch-Struct,harvardnlp/pytorch-struct,,,,pytorch-utils,['pytorch'],https://github.com/harvardnlp/pytorch-struct,https://github.com/harvardnlp/pytorch-struct,MIT,2019-08-26 19:34:30.000000,2020-12-05 20:47:02.000000,2020-07-30 15:58:25.000000,67.0,14.0,20.0,864.0,244.0,2019-11-25 04:08:05.000000,0.4,1.0,\"Fast, general, and tested differentiable structured prediction in PyTorch.\",,,10.0,13,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n751,NeoML,neoml-lib/neoml,,,,ml-frameworks,,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000000,2020-12-25 15:17:39.000000,2020-12-25 14:09:47.000000,78.0,16.0,13.0,549.0,162.0,2020-06-14 17:44:03.000000,NeoML-master_1.0.1.0,1.0,Machine learning framework for both deep learning and traditional algorithms.,,,15.0,13,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n752,Adversary,airbnb/artificial-adversary,Adversary,,,adversarial,,https://github.com/airbnb/artificial-adversary,https://github.com/airbnb/artificial-adversary,MIT,2018-08-08 04:42:11.000000,2018-10-14 05:34:44.000000,2018-08-29 15:31:30.000000,47.0,7.0,,339.0,15.0,2018-08-29 15:14:41.000000,1.1.1,3.0,Tool to generate adversarial text examples and test machine learning models against them.,6.0,6.0,5.0,13,https://pypi.org/project/Adversary,2018-08-29 15:14:41.000000,,17.0,17.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n753,Julius,adefossez/julius,julius,,,audio,['pytorch'],https://github.com/adefossez/julius,https://github.com/adefossez/julius,MIT,2020-10-26 10:54:21.000000,2020-12-10 12:50:51.000000,2020-12-10 12:50:47.000000,6.0,,3.0,160.0,,2020-11-25 18:04:38.000000,0.2.0,4.0,Fast PyTorch based DSP for audio and 1D signals.,1.0,1.0,2.0,13,https://pypi.org/project/julius,2020-11-25 18:04:38.000000,,190.0,190.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n754,Auptimizer,LGE-ARC-AdvancedAI/auptimizer,auptimizer,,,hyperopt,,https://github.com/LGE-ARC-AdvancedAI/auptimizer,https://github.com/LGE-ARC-AdvancedAI/auptimizer,GPL-3.0,2019-09-12 01:08:37.000000,2020-12-04 01:00:53.000000,2020-12-04 00:51:11.000000,20.0,,3.0,153.0,68.0,2020-11-19 05:14:22.000000,1.4,6.0,An automatic ML model optimization tool.,,,11.0,13,https://pypi.org/project/auptimizer,2020-11-19 00:23:49.000000,,113.0,113.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n755,PySparNN,facebookresearch/pysparnn,,,,nn-search,,https://github.com/facebookresearch/pysparnn,https://github.com/facebookresearch/pysparnn,BSD-3-Clause,2016-03-28 20:43:42.000000,2020-10-02 06:01:01.000000,2018-01-31 16:50:23.000000,142.0,11.0,13.0,840.0,147.0,,,,Approximate Nearest Neighbor Search for Sparse Data in Python!.,,,5.0,12,,,,,,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n756,GraphVite,DeepGraphLearning/graphvite,,milagraph/graphvite,,graph,,https://github.com/DeepGraphLearning/graphvite,https://github.com/DeepGraphLearning/graphvite,Apache-2.0,2019-07-16 15:48:20.000000,2020-03-19 18:21:30.972000,2020-03-18 23:16:04.000000,113.0,23.0,51.0,815.0,14.0,,,4.0,GraphVite: A General and High-performance Graph Embedding System.,,,1.0,12,,,,,204.0,https://anaconda.org/milagraph/graphvite,2020-03-19 18:21:30.972000,3279.0,True,3,,,,,,,,,,,,,,,,3.0,,,,,,,,,,\n757,Attribution Priors,suinleelab/attributionpriors,attributionpriors,,,interpretability,\"['tensorflow', 'pytorch']\",https://github.com/suinleelab/attributionpriors,https://github.com/suinleelab/attributionpriors,MIT,2019-06-24 23:54:24.000000,2020-09-12 05:57:02.000000,2020-09-12 05:56:51.000000,3.0,1.0,3.0,71.0,64.0,2019-07-18 21:13:37.000000,0.1.3,4.0,Tools for training explainable models using attribution priors.,,,6.0,12,https://pypi.org/project/attributionpriors,2019-10-31 18:03:05.000000,,42.0,42.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n758,LazyCluster,ml-tooling/lazycluster,lazycluster,,,distributed-ml,,https://github.com/ml-tooling/lazycluster,https://github.com/ml-tooling/lazycluster,Apache-2.0,2019-08-07 08:05:13.000000,2020-12-14 15:24:54.000000,2020-12-14 15:24:53.000000,4.0,,,31.0,,2020-12-14 15:25:59.000000,0.2.4,5.0,Distributed machine learning made simple.,2.0,2.0,2.0,12,https://pypi.org/project/lazycluster,2020-12-14 14:49:33.000000,,136.0,136.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n759,MedicalNet,Tencent/MedicalNet,,,,medical-data,,https://github.com/Tencent/MedicalNet,https://github.com/Tencent/MedicalNet,MIT,2019-07-17 09:53:10.000000,2020-08-27 13:37:27.000000,2020-08-27 13:37:26.000000,270.0,40.0,14.0,1026.0,26.0,,,,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,,,1.0,11,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n760,Devol,joeddav/devol,,,,hyperopt,,https://github.com/joeddav/devol,https://github.com/joeddav/devol,MIT,2017-02-10 03:07:54.000000,2020-07-05 21:56:59.000000,2020-07-05 21:56:58.000000,109.0,7.0,20.0,923.0,116.0,,,,Genetic neural architecture search with Keras.,,,18.0,11,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n761,ONNX-T5,abelriboulot/onnxt5,onnxt5,,,nlp,,https://github.com/abelriboulot/onnxt5,https://github.com/abelriboulot/onnxt5,Apache-2.0,2020-08-01 09:38:35.000000,2020-09-02 11:27:43.000000,2020-09-02 11:27:37.000000,15.0,3.0,5.0,132.0,68.0,2020-08-15 15:25:00.000000,0.1.6,10.0,\"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..\",,,2.0,11,https://pypi.org/project/onnxt5,2020-09-02 11:22:09.000000,,82.0,82.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n762,Hypertunity,gdikov/hypertunity,hypertunity,,,hyperopt,,https://github.com/gdikov/hypertunity,https://github.com/gdikov/hypertunity,Apache-2.0,2019-06-02 12:04:55.000000,2020-01-26 23:14:49.000000,2020-01-26 22:53:29.000000,9.0,,2.0,118.0,64.0,2020-01-26 23:08:16.000000,1.0.1,7.0,A toolset for black-box hyperparameter optimisation.,2.0,2.0,2.0,11,https://pypi.org/project/hypertunity,2020-01-26 23:08:16.000000,,38.0,38.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n763,traintool,jrieke/traintool,traintool,,,ml-experiments,\"['pytorch', 'tensorflow', 'sklearn']\",https://github.com/jrieke/traintool,https://github.com/jrieke/traintool,Apache-2.0,2020-09-30 22:23:05.000000,2020-11-18 02:51:43.000000,2020-11-18 02:50:52.000000,1.0,,,8.0,120.0,2020-11-02 02:25:32.000000,0.0.3,3.0,Train off-the-shelf machine learning models in one line of code.,,,1.0,10,https://pypi.org/project/traintool,2020-11-02 02:25:32.000000,,52.0,52.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,,\n764,traingenerator,jrieke/traingenerator,,,,others,,https://github.com/jrieke/traingenerator,https://github.com/jrieke/traingenerator,MIT,2020-12-03 16:47:16.000000,2020-12-19 18:55:14.000000,2020-12-19 18:55:14.000000,68.0,1.0,,599.0,,,,,A web app to generate template code for machine learning.,,,1.0,9,,,,,,,,,False,3,,,,,,,,,,,,,,,True,,,,,,,,,,,\n"
  },
  {
    "path": "history/2020-12-28_changes.md",
    "content": "## 📈 Trending Up\n\n_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._\n\n- <b><a href=\"https://github.com/albermax/innvestigate\">iNNvestigate</a></b> (🥉21 ·  ⭐ 740 · 📈) - A toolbox to iNNvestigate neural networks' predictions!. <code><a href=\"http://bit.ly/3rqEWVr\">BSD-2</a></code> <code><img src=\"https://bit.ly/2WMff3g\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n\n## 📉 Trending Down\n\n_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._\n\n- <b><a href=\"https://github.com/facebookresearch/faiss\">Faiss</a></b> (🥇28 ·  ⭐ 12K · 📉) - A library for efficient similarity search and clustering of dense.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/pytorch/captum\">Captum</a></b> (🥈25 ·  ⭐ 2K · 📉) - Model interpretability and understanding for PyTorch. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://bit.ly/3aK8jvP\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/Epistimio/orion\">Orion</a></b> (🥉22 ·  ⭐ 180 · 📉) - Asynchronous Distributed Hyperparameter Optimization. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/sentinelsat/sentinelsat\">Sentinelsat</a></b> (🥉21 ·  ⭐ 530 · 📉) - Search and download Copernicus Sentinel satellite images. <code><a href=\"http://bit.ly/2M0xdwT\">❗️GPL-3.0</a></code>\n- <b><a href=\"https://github.com/SeldonIO/alibi-detect\">alibi-detect</a></b> (🥉20 ·  ⭐ 440 · 📉) - Algorithms for outlier and adversarial instance detection,.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/trevorstephens/gplearn\">gplearn</a></b> (🥉19 ·  ⭐ 900 · 💤) - Genetic Programming in Python, with a scikit-learn inspired API. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://bit.ly/3prMLZ7\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/gyli/PyWaffle\">PyWaffle</a></b> (🥉19 ·  ⭐ 370 · 📉) - Make Waffle Charts in Python. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/statisticianinstilettos/recmetrics\">recmetrics</a></b> (🥉19 ·  ⭐ 220 · 📉) - A library of metrics for evaluating recommender systems. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/xhochy/fletcher\">fletcher</a></b> (🥉19 ·  ⭐ 200 · 📉) - Pandas ExtensionDType/Array backed by Apache Arrow. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://bit.ly/2Jmaz12\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/biovault/nptsne\">nptsne</a></b> (🥉14 ·  ⭐ 24 · 📉) - nptsne is a numpy compatible python binary package that offers a.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n\n## ➕ Added Projects\n\n_Projects that were recently added to this best-of list._\n\n- <b><a href=\"https://github.com/allegroai/clearml\">ClearML</a></b> (🥉23 ·  ⭐ 2K · ➕) - ClearML - Auto-Magical Suite of tools to streamline your ML.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n\n"
  },
  {
    "path": "history/2020-12-28_projects.csv",
    "content": ",name,github_id,pypi_id,conda_id,docs_url,category,labels,github_url,homepage,license,created_at,updated_at,last_commit_pushed_at,fork_count,open_issue_count,closed_issue_count,star_count,commit_count,latest_stable_release_published_at,latest_stable_release_number,release_count,description,dependent_project_count,github_dependent_project_count,contributor_count,projectrank,pypi_url,pypi_latest_release_published_at,pypi_dependent_project_count,pypi_monthly_downloads,monthly_downloads,conda_url,conda_latest_release_published_at,conda_total_downloads,show,projectrank_placing,github_release_downloads,helm_id,brew_id,dockerhub_id,dockerhub_url,dockerhub_latest_release_published_at,dockerhub_stars,dockerhub_pulls,npm_id,npm_url,npm_latest_release_published_at,npm_dependent_project_count,npm_monthly_downloads,conda_dependent_project_count,apt_id,yum_id,snap_id,trending,maven_id,maven_url,maven_latest_release_published_at,maven_dependent_project_count,dnf_id,yay_id,new_addition\n0,Tensorflow,tensorflow/tensorflow,tensorflow,conda-forge/tensorflow,https://www.tensorflow.org/overview,ml-frameworks,['tensorflow'],https://github.com/tensorflow/tensorflow,https://github.com/tensorflow/tensorflow,Apache-2.0,2015-11-07 01:19:20.000000,2020-12-27 23:32:30.000000,2020-12-27 16:31:04.000000,83535.0,4248.0,25410.0,151920.0,101943.0,2020-12-14 18:16:52.000000,2.4.0,110.0,An Open Source Machine Learning Framework for Everyone.,136939.0,114415.0,3460.0,44,https://pypi.org/project/tensorflow,2020-12-14 17:58:05.000000,22524.0,7153553.0,7192841.0,https://anaconda.org/conda-forge/tensorflow,2020-07-15 22:30:18.070000,2239451.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n1,pandas,pandas-dev/pandas,pandas,conda-forge/pandas,,data-containers,['pandas'],https://github.com/pandas-dev/pandas,https://github.com/pandas-dev/pandas,BSD-3-Clause,2010-08-24 01:37:33.000000,2020-12-28 01:22:52.000000,2020-12-28 00:42:00.000000,11609.0,3552.0,16164.0,27823.0,25375.0,2020-12-26 16:56:45.000000,1.2.0,87.0,\"Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R..\",432953.0,356169.0,2547.0,43,https://pypi.org/project/pandas,2020-12-26 16:58:54.000000,76784.0,24568168.0,24802924.0,https://anaconda.org/conda-forge/pandas,2020-12-27 15:52:28.489000,12873888.0,True,1,56997.0,,,,,,,,,,,,,,,,,,,,,,,,\n2,numpy,numpy/numpy,numpy,conda-forge/numpy,,data-containers,,https://github.com/numpy/numpy,https://github.com/numpy/numpy,BSD-3-Clause,2010-09-13 23:02:39.000000,2020-12-27 22:51:07.000000,2020-12-27 20:56:06.000000,5089.0,2248.0,7203.0,15834.0,25124.0,2020-11-02 16:22:48.000000,1.19.4,93.0,The fundamental package for scientific computing with Python.,753999.0,584277.0,1227.0,42,https://pypi.org/project/numpy,2020-12-25 02:46:48.000000,169722.0,39146486.0,39420679.0,https://anaconda.org/conda-forge/numpy,2020-12-14 15:37:00.094000,14756508.0,True,1,288783.0,,,,,,,,,,,,,,,,,,,,,,,,\n3,scikit-learn,scikit-learn/scikit-learn,scikit-learn,conda-forge/scikit-learn,,ml-frameworks,['sklearn'],https://github.com/scikit-learn/scikit-learn,https://github.com/scikit-learn/scikit-learn,BSD-3-Clause,2010-08-17 09:43:38.000000,2020-12-27 22:57:28.000000,2020-12-22 22:31:29.000000,20767.0,2305.0,6570.0,43537.0,26390.0,2020-12-22 16:55:16.000000,0.24.0,52.0,scikit-learn: machine learning in Python.,215375.0,177487.0,2108.0,41,https://pypi.org/project/scikit-learn,2020-12-22 15:06:38.000000,37888.0,9915068.0,10026319.0,https://anaconda.org/conda-forge/scikit-learn,2020-12-22 17:47:32.588000,6118214.0,True,1,621.0,,,,,,,,,,,,,,,,,,,,,,,,\n4,Matplotlib,matplotlib/matplotlib,matplotlib,conda-forge/matplotlib,,data-viz,,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,Python-2.0,2011-02-19 03:17:12.000000,2020-12-28 00:32:15.000000,2020-12-27 09:38:52.000000,5541.0,1653.0,5896.0,12837.0,37457.0,2020-11-12 04:43:18.000000,3.3.3,61.0,matplotlib: plotting with Python.,384231.0,305127.0,1184.0,40,https://pypi.org/project/matplotlib,2020-11-12 04:43:18.000000,79104.0,9128301.0,9249439.0,https://anaconda.org/conda-forge/matplotlib,2020-11-18 02:20:26.810000,7631722.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n5,PyTorch,pytorch/pytorch,torch,pytorch/pytorch,https://pytorch.org/docs/stable/index.html,ml-frameworks,['pytorch'],https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41.000000,2020-12-28 00:26:54.000000,2020-12-25 06:42:55.000000,11541.0,7100.0,12364.0,45053.0,32416.0,2020-12-10 17:19:58.000000,1.7.1,30.0,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,63171.0,56489.0,2441.0,39,https://pypi.org/project/torch,2020-12-10 16:22:02.000000,6682.0,1753426.0,2010907.0,https://anaconda.org/pytorch/pytorch,2020-12-10 16:11:32.801000,9526810.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n6,Scrapy,scrapy/scrapy,scrapy,conda-forge/scrapy,,web-scraping,,https://github.com/scrapy/scrapy,https://github.com/scrapy/scrapy,BSD-3-Clause,2010-02-22 02:01:14.000000,2020-12-27 19:15:27.000000,2020-12-24 14:31:42.000000,8948.0,750.0,1900.0,39289.0,8596.0,2020-11-17 21:01:36.000000,2.4.1,80.0,\"Scrapy, a fast high-level web crawling & scraping framework for Python.\",30078.0,21708.0,459.0,38,https://pypi.org/project/scrapy,2020-11-17 12:04:15.000000,8370.0,520867.0,528518.0,https://anaconda.org/conda-forge/scrapy,2020-11-17 15:41:21.756000,382587.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n7,PySpark,apache/spark,pyspark,conda-forge/pyspark,,ml-frameworks,['spark'],https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08.000000,2020-12-28 00:53:03.000000,2020-12-28 00:52:42.000000,23102.0,210.0,,28408.0,28909.0,2020-09-07 15:29:07.000000,3.0.1,21.0,Apache Spark Python API.,1289.0,529.0,2376.0,38,https://pypi.org/project/pyspark,2020-09-07 15:29:07.000000,760.0,6756892.0,6775820.0,https://anaconda.org/conda-forge/pyspark,2020-09-07 17:29:01.440000,851778.0,True,1,,stable/spark,,,,,,,,,,,,,,,,,,,,,,,\n8,Pillow,python-pillow/Pillow,Pillow,conda-forge/pillow,,image,,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000000,2020-12-28 01:01:26.000000,2020-12-27 10:26:22.000000,1536.0,238.0,1831.0,8045.0,10987.0,2020-10-22 19:19:42.000000,8.0.1,76.0,The friendly PIL fork (Python Imaging Library).,482236.0,370810.0,343.0,38,https://pypi.org/project/Pillow,2020-10-22 19:17:46.000000,111426.0,14068297.0,14185131.0,https://anaconda.org/conda-forge/pillow,2020-11-07 11:52:48.847000,6542748.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n9,youtube-dl,ytdl-org/youtube-dl,youtube_dl,conda-forge/youtube-dl,,web-scraping,,https://github.com/ytdl-org/youtube-dl,https://github.com/ytdl-org/youtube-dl,Unlicense,2010-10-31 14:35:07.000000,2020-12-28 01:10:09.000000,2020-12-27 22:47:28.000000,3167.0,3900.0,19031.0,86095.0,18081.0,2020-12-26 16:18:48.000000,2020.12.26,931.0,Command-line program to download videos from YouTube.com and other video sites.,2854.0,,915.0,37,https://pypi.org/project/youtube_dl,2020-12-26 16:19:21.000000,2854.0,1905586.0,3490835.0,https://anaconda.org/conda-forge/youtube-dl,2020-12-26 22:19:42.372000,532552.0,True,1,45530995.0,,youtube-dl,,,,,,,,,,,,,,,,,,,,,,\n10,spaCy,explosion/spaCy,spacy,conda-forge/spacy,,nlp,,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000000,2020-12-27 22:14:10.000000,2020-12-27 21:12:37.000000,3189.0,90.0,4117.0,17898.0,11717.0,2020-12-11 14:45:05.000000,2.3.5,169.0,Industrial-strength Natural Language Processing (NLP) with Python and Cython.,22837.0,19771.0,540.0,37,https://pypi.org/project/spacy,2020-12-11 14:45:05.000000,3066.0,911897.0,941616.0,https://anaconda.org/conda-forge/spacy,2020-12-18 10:09:15.705000,1364456.0,True,1,2894.0,,,,,,,,,,,,,,,,,,,,,,,,\n11,Celery,celery/celery,celery,conda-forge/celery,,data-pipelines,,https://github.com/celery/celery,https://github.com/celery/celery,BSD-3-Clause,2009-04-24 11:31:24.000000,2020-12-27 16:13:04.000000,2020-12-27 00:08:32.000000,3908.0,487.0,3910.0,16437.0,11472.0,2020-12-16 15:41:18.000000,5.0.5,171.0,Asynchronous task queue/job queue based on distributed message passing.,75105.0,46871.0,1068.0,37,https://pypi.org/project/celery,2020-12-16 15:34:09.000000,28234.0,2131642.0,2137890.0,https://anaconda.org/conda-forge/celery,2020-11-11 10:39:38.599000,356175.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n12,networkx,networkx/networkx,networkx,conda-forge/networkx,,graph,,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44.000000,2020-12-27 19:27:10.000000,2020-12-26 21:28:37.000000,2155.0,253.0,2278.0,8402.0,6361.0,2020-08-22 20:10:33.000000,networkx-2.5,52.0,Network Analysis in Python.,83862.0,63044.0,483.0,37,https://pypi.org/project/networkx,2020-08-22 20:38:37.000000,20818.0,5422809.0,5478510.0,https://anaconda.org/conda-forge/networkx,2020-08-23 19:29:02.065000,2785062.0,True,1,51.0,,,,,,,,,,,,,,,,,,,,,,,,\n13,boto3,boto/boto3,boto3,conda-forge/boto3,,db-clients,,https://github.com/boto/boto3,https://github.com/boto/boto3,Apache-2.0,2014-10-03 21:38:03.000000,2020-12-24 12:48:26.000000,2020-12-23 19:07:30.000000,1291.0,305.0,1938.0,6017.0,3991.0,2020-12-23 20:19:40.000000,1.16.43,730.0,AWS SDK for Python.,113433.0,90343.0,108.0,37,https://pypi.org/project/boto3,2020-12-23 20:19:40.000000,23090.0,49447913.0,49531619.0,https://anaconda.org/conda-forge/boto3,2020-12-24 01:01:06.923000,4101604.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n14,SQLAlchemy,sqlalchemy/sqlalchemy,SQLAlchemy,conda-forge/sqlalchemy,,db-clients,,https://github.com/sqlalchemy/sqlalchemy,https://github.com/sqlalchemy/sqlalchemy,MIT,2017-01-02 21:50:52.207000,2020-12-27 20:30:10.000000,2020-12-27 20:29:51.000000,491.0,149.0,5381.0,3133.0,13434.0,2020-12-18 21:13:06.000000,1.3.22,207.0,The Database Toolkit for Python.,308754.0,225048.0,448.0,37,https://pypi.org/project/SQLAlchemy,2020-12-18 21:13:06.000000,83706.0,12864035.0,12924602.0,https://anaconda.org/conda-forge/sqlalchemy,2020-12-19 08:49:20.725000,2843032.0,True,1,1159.0,,,,,,,,,,,,,,,,,,,,,,,,\n15,transformers,huggingface/transformers,transformers,conda-forge/transformers,,nlp,\"['pytorch', 'tensorflow']\",https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000000,2020-12-27 20:57:51.000000,2020-12-27 20:57:50.000000,9402.0,568.0,4959.0,38586.0,6197.0,2020-12-17 17:09:51.000000,4.1.1,44.0,Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.,6587.0,6459.0,740.0,36,https://pypi.org/project/transformers,2020-12-17 16:27:28.000000,128.0,722727.0,723693.0,https://anaconda.org/conda-forge/transformers,2020-12-19 08:26:53.237000,12844.0,True,1,1238.0,,,,,,,,,,,,,,,,,,,,,,,,\n16,Faker,joke2k/faker,Faker,conda-forge/faker,,data-loading,,https://github.com/joke2k/faker,https://github.com/joke2k/faker,MIT,2012-11-12 23:00:09.000000,2020-12-28 01:12:20.000000,2020-12-24 15:04:40.000000,1318.0,132.0,342.0,11826.0,2490.0,2020-12-15 21:37:38.000000,5.0.2,102.0,Faker is a Python package that generates fake data for you.,26509.0,21797.0,378.0,36,https://pypi.org/project/Faker,2020-12-15 21:37:28.000000,4712.0,2040848.0,2048808.0,https://anaconda.org/conda-forge/faker,2020-12-15 23:13:31.548000,358203.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n17,redis,andymccurdy/redis-py,redis,,,db-clients,,https://github.com/andymccurdy/redis-py,https://github.com/andymccurdy/redis-py,MIT,2009-11-06 10:22:26.000000,2020-12-21 07:23:24.000000,2020-11-22 20:52:44.000000,1903.0,62.0,803.0,8992.0,1550.0,2020-06-01 21:30:33.000000,3.5.3,66.0,Redis Python Client.,49438.0,,248.0,36,https://pypi.org/project/redis,2020-06-01 21:30:33.000000,49438.0,8321927.0,8321927.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n18,SymPy,sympy/sympy,sympy,conda-forge/sympy,,others,,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000000,2020-12-28 01:18:44.000000,2020-12-27 21:04:57.000000,3209.0,3953.0,7059.0,7690.0,45512.0,2020-12-12 23:23:00.000000,1.7.1,36.0,A computer algebra system written in pure Python.,33924.0,27502.0,1024.0,36,https://pypi.org/project/sympy,2020-12-12 23:23:00.000000,6422.0,585230.0,611953.0,https://anaconda.org/conda-forge/sympy,2020-12-13 04:16:18.209000,1215632.0,True,1,411274.0,,,,,,,,,,,,,,,,,,,,,,,,\n19,StatsModels,statsmodels/statsmodels,statsmodels,conda-forge/statsmodels,,ml-frameworks,,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000000,2020-12-23 11:31:26.000000,2020-12-23 11:31:25.000000,2114.0,2042.0,2228.0,5841.0,13517.0,2020-10-29 16:36:43.000000,0.12.1,24.0,Statsmodels: statistical modeling and econometrics in Python.,41421.0,34765.0,296.0,36,https://pypi.org/project/statsmodels,2020-10-29 16:36:43.000000,6656.0,2327915.0,2384373.0,https://anaconda.org/conda-forge/statsmodels,2020-11-21 19:18:02.779000,3048755.0,True,1,25.0,,,,,,,,,,,,,,,,,,,,,,,,\n20,Tensorboard,tensorflow/tensorboard,tensorboard,conda-forge/tensorboard,,ml-experiments,['tensorflow'],https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000000,2020-12-24 01:34:33.000000,2020-12-24 01:22:39.000000,1326.0,544.0,899.0,5101.0,4126.0,2020-11-12 03:15:42.000000,2.4.0,35.0,TensorFlow's Visualization Toolkit.,53062.0,49448.0,248.0,36,https://pypi.org/project/tensorboard,2020-11-12 03:15:33.000000,3614.0,5255542.0,5296012.0,https://anaconda.org/conda-forge/tensorboard,2020-11-12 07:26:37.897000,1497408.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n21,scikit-image,scikit-image/scikit-image,scikit-image,conda-forge/scikit-image,,image,,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,BSD-2-Clause,2011-07-07 22:07:20.000000,2020-12-26 15:57:29.000000,2020-12-26 14:27:27.000000,1713.0,644.0,1471.0,4113.0,12448.0,2020-12-23 06:36:46.000000,0.18.1,35.0,Image processing in Python.,71794.0,57020.0,472.0,36,https://pypi.org/project/scikit-image,2020-12-23 06:36:46.000000,14774.0,1777684.0,1814278.0,https://anaconda.org/conda-forge/scikit-image,2020-12-23 15:59:08.642000,2012713.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n22,pymongo,mongodb/mongo-python-driver,pymongo,conda-forge/pymongo,,db-clients,,https://github.com/mongodb/mongo-python-driver,https://github.com/mongodb/mongo-python-driver,Apache-2.0,2009-01-15 15:18:06.000000,2020-12-23 23:48:05.000000,2020-12-22 03:22:29.000000,969.0,7.0,,3185.0,4617.0,2020-12-02 23:37:26.000000,3.11.2,115.0,PyMongo - the Python driver for MongoDB.,118012.0,82150.0,179.0,36,https://pypi.org/project/pymongo,2020-12-02 23:31:25.000000,35862.0,5831668.0,5837545.0,https://anaconda.org/conda-forge/pymongo,2020-10-12 20:39:14.177000,317410.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n23,h5py,h5py/h5py,h5py,conda-forge/h5py,,data-containers,,https://github.com/h5py/h5py,https://github.com/h5py/h5py,BSD-3-Clause,2012-09-21 00:40:02.000000,2020-12-11 13:07:01.000000,2020-12-01 10:28:11.000000,393.0,183.0,936.0,1457.0,3463.0,2020-11-06 14:30:54.000000,3.1.0,25.0,HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.,119003.0,96067.0,156.0,36,https://pypi.org/project/h5py,2020-11-06 14:30:54.000000,22936.0,5506464.0,5582919.0,https://anaconda.org/conda-forge/h5py,2020-11-07 13:29:59.487000,4357060.0,True,1,762.0,,,,,,,,,,,,,,,,,,,,,,,,\n24,Keras,keras-team/keras,keras,conda-forge/keras,https://keras.io,ml-frameworks,['tensorflow'],https://github.com/keras-team/keras,https://github.com/keras-team/keras,MIT,2015-03-28 00:35:42.000000,2020-12-23 19:08:38.000000,2020-12-23 18:27:33.000000,18680.0,3140.0,7218.0,50398.0,5361.0,2020-06-24 22:40:48.000000,2.4.3,53.0,Deep Learning for humans.,14996.0,,893.0,35,https://pypi.org/project/keras,2020-06-24 22:40:48.000000,14996.0,2031985.0,2058583.0,https://anaconda.org/conda-forge/keras,2020-06-25 19:13:34.254000,1383104.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n25,OpenAI Gym,openai/gym,gym,,,reinforcement-learning,,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16.000000,2020-12-25 22:55:29.000000,2020-12-18 23:40:47.000000,6550.0,223.0,1061.0,22993.0,1240.0,2020-12-19 00:29:36.000000,0.18.0,92.0,A toolkit for developing and comparing reinforcement learning algorithms.,20314.0,16752.0,271.0,35,https://pypi.org/project/gym,2020-12-19 00:29:36.000000,3562.0,312543.0,312543.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n26,XGBoost,dmlc/xgboost,xgboost,conda-forge/xgboost,https://xgboost.readthedocs.io/en/latest/,ml-frameworks,,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000000,2020-12-27 18:42:28.000000,2020-12-23 08:08:10.000000,7840.0,263.0,3630.0,20324.0,5164.0,2020-12-22 13:38:41.000000,1.3.1,50.0,\"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..\",14077.0,12485.0,500.0,35,https://pypi.org/project/xgboost,2020-12-09 19:03:33.000000,1592.0,2764362.0,2792393.0,https://anaconda.org/conda-forge/xgboost,2020-12-10 13:41:20.626000,1260414.0,True,2,1849.0,,,,,,,,,,,,,,,,,,,,,,,,\n27,Airflow,apache/airflow,apache-airflow,conda-forge/airflow,,data-pipelines,,https://github.com/apache/airflow,https://github.com/apache/airflow,Apache-2.0,2015-04-13 18:04:58.000000,2020-12-28 01:08:08.000000,2020-12-27 23:54:02.000000,7625.0,907.0,1758.0,19936.0,11219.0,2020-12-18 13:21:47.000000,2.0.0,67.0,\"Platform to programmatically author, schedule, and monitor workflows.\",294.0,,1682.0,35,https://pypi.org/project/apache-airflow,2020-12-14 17:07:53.000000,294.0,572546.0,628726.0,https://anaconda.org/conda-forge/airflow,2020-11-26 16:17:26.980000,248572.0,True,1,67949.0,stable/airflow,,apache/airflow,https://hub.docker.com/r/apache/airflow,2020-12-26 16:47:49.041345,191.0,3355056.0,,,,,,,,,,,,,,,,,\n28,LightGBM,microsoft/LightGBM,lightgbm,conda-forge/lightgbm,,ml-frameworks,,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000000,2020-12-27 18:43:59.000000,2020-12-26 22:51:08.000000,3136.0,88.0,1903.0,11972.0,2175.0,2020-12-08 03:00:35.000000,3.1.1,24.0,\"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..\",5637.0,5081.0,192.0,35,https://pypi.org/project/lightgbm,2020-12-08 03:00:35.000000,556.0,1461341.0,1474265.0,https://anaconda.org/conda-forge/lightgbm,2020-12-08 18:04:57.617000,453836.0,True,2,81641.0,,,,,,,,,,,,,,,,,,,,,,,,\n29,gensim,RaRe-Technologies/gensim,gensim,conda-forge/gensim,,nlp,,https://github.com/RaRe-Technologies/gensim,https://github.com/RaRe-Technologies/gensim,LGPL-2.1,2011-02-10 07:43:04.000000,2020-12-27 07:46:30.000000,2020-11-15 20:49:41.000000,3825.0,349.0,1239.0,11524.0,3849.0,2020-05-04 05:55:15.000000,3.8.3,83.0,Topic Modelling for Humans.,24325.0,19583.0,384.0,35,https://pypi.org/project/gensim,2020-11-15 12:53:37.000000,4742.0,6172457.0,6187403.0,https://anaconda.org/conda-forge/gensim,2020-05-14 08:28:35.604000,581286.0,False,1,2591.0,,,,,,,,,,,,,,,,,,,,,,,,\n30,Theano,Theano/Theano,theano,conda-forge/theano,,ml-frameworks,,https://github.com/Theano/Theano,https://github.com/Theano/Theano,BSD-3-Clause,2011-08-10 03:48:06.000000,2020-11-01 11:19:03.292000,2020-09-05 10:39:50.000000,2501.0,674.0,2081.0,9315.0,28123.0,2020-07-27 16:13:54.000000,1.0.5,45.0,\"Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-..\",15332.0,9858.0,382.0,35,https://pypi.org/project/theano,2020-07-27 16:13:54.000000,5474.0,230049.0,253668.0,https://anaconda.org/conda-forge/theano,2020-11-01 11:19:03.292000,1251815.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n31,Plotly,plotly/plotly.py,plotly,conda-forge/plotly,,data-viz,,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000000,2020-12-25 15:43:36.000000,2020-12-23 19:55:10.000000,1711.0,760.0,1037.0,8511.0,4884.0,2020-12-09 13:48:45.000000,4.14.1,263.0,The interactive graphing library for Python (includes Plotly Express).,4991.0,5.0,158.0,35,https://pypi.org/project/plotly,2020-12-09 13:29:15.000000,4982.0,2778922.0,2835527.0,https://anaconda.org/conda-forge/plotly,2020-12-09 14:47:46.237000,1130896.0,True,1,,,,,,,,,plotlywidget,https://www.npmjs.com/package/plotlywidget,2020-12-09 13:24:37.313000,4.0,34857.0,,,,,,,,,,,,\n32,torchvision,pytorch/vision,torchvision,conda-forge/torchvision,,image,['pytorch'],https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000000,2020-12-28 01:07:50.000000,2020-12-23 09:15:15.000000,4100.0,458.0,1022.0,8024.0,1396.0,2020-12-10 17:10:41.000000,0.8.2,21.0,\"Datasets, Transforms and Models specific to Computer Vision.\",42230.0,37618.0,346.0,35,https://pypi.org/project/torchvision,2020-12-10 16:27:20.000000,4612.0,710949.0,711896.0,https://anaconda.org/conda-forge/torchvision,2018-10-14 22:06:28.203000,34106.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n33,Seaborn,mwaskom/seaborn,seaborn,conda-forge/seaborn,,data-viz,,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000000,2020-12-27 18:52:27.000000,2020-12-27 18:52:26.000000,1354.0,80.0,1644.0,7936.0,2732.0,2020-12-20 20:53:25.000000,0.11.1,23.0,Statistical data visualization using matplotlib.,87832.0,75046.0,144.0,35,https://pypi.org/project/seaborn,2020-12-20 20:53:25.000000,12786.0,2086516.0,2121498.0,https://anaconda.org/conda-forge/seaborn,2020-12-21 10:06:33.576000,1819044.0,True,1,106.0,,,,,,,,,,,,,,,,,,,,,,,,\n34,dask,dask/dask,dask,conda-forge/dask,,distributed-ml,,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000000,2020-12-27 19:50:40.000000,2020-12-21 17:17:36.000000,1197.0,688.0,2775.0,7681.0,6265.0,2020-12-11 01:53:58.000000,2020.12.0,109.0,Parallel computing with task scheduling.,27940.0,24024.0,420.0,35,https://pypi.org/project/dask,2020-12-11 01:53:58.000000,3916.0,1345115.0,1395691.0,https://anaconda.org/conda-forge/dask,2020-12-11 06:35:53.129000,2781715.0,True,1,,stable/dask,,,,,,,,,,,,,,,,,,,,,,,\n35,Arrow,apache/arrow,pyarrow,conda-forge/arrow,,data-containers,,https://github.com/apache/arrow,https://github.com/apache/arrow,Apache-2.0,2016-02-17 08:00:23.000000,2020-12-28 01:20:50.000000,2020-12-27 18:19:27.000000,1697.0,115.0,536.0,6780.0,8186.0,2020-10-19 21:15:12.000000,2.0.0,29.0,Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-..,1013.0,27.0,606.0,35,https://pypi.org/project/pyarrow,2020-10-19 21:15:12.000000,986.0,11796562.0,11804559.0,https://anaconda.org/conda-forge/arrow,2020-10-12 18:31:14.221000,439888.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n36,PyMySQL,PyMySQL/PyMySQL,PyMySQL,conda-forge/pymysql,,db-clients,,https://github.com/PyMySQL/PyMySQL,https://github.com/PyMySQL/PyMySQL,MIT,2011-07-27 17:38:47.000000,2020-12-10 02:51:07.000000,2020-12-10 02:51:06.000000,1238.0,18.0,515.0,6257.0,944.0,2020-09-10 07:38:01.000000,0.10.1,32.0,Pure Python MySQL Client.,89235.0,70809.0,104.0,35,https://pypi.org/project/PyMySQL,2020-09-10 07:38:01.000000,18426.0,5313559.0,5319521.0,https://anaconda.org/conda-forge/pymysql,2020-11-17 22:05:17.850000,226589.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n37,google-cloud-storage,googleapis/google-cloud-python,google-cloud-storage,conda-forge/google-cloud-storage,,db-clients,,https://github.com/googleapis/google-cloud-python,https://github.com/googleapis/google-cloud-python,Apache-2.0,2014-01-28 15:51:47.000000,2020-12-16 16:42:20.918000,2020-10-29 21:15:18.000000,1333.0,22.0,3313.0,3441.0,9049.0,2020-12-14 23:49:51.000000,1.35.0,100.0,Google Cloud Client Library for Python.,2108.0,,311.0,35,https://pypi.org/project/google-cloud-storage,2020-12-14 23:49:51.000000,2108.0,14481884.0,14495187.0,https://anaconda.org/conda-forge/google-cloud-storage,2020-12-16 16:42:20.918000,558748.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n38,elasticsearch,elastic/elasticsearch-py,elasticsearch,conda-forge/elasticsearch,,db-clients,,https://github.com/elastic/elasticsearch-py,https://github.com/elastic/elasticsearch-py,Apache-2.0,2013-05-01 22:47:39.000000,2020-12-27 17:29:04.000000,2020-12-22 20:25:27.000000,957.0,71.0,771.0,3044.0,1259.0,2020-12-09 17:27:30.000000,7.10.1,64.0,Official Python low-level client for Elasticsearch.,29647.0,19073.0,168.0,35,https://pypi.org/project/elasticsearch,2020-12-09 17:25:00.000000,10574.0,3672636.0,3679037.0,https://anaconda.org/conda-forge/elasticsearch,2020-12-11 18:29:47.476000,344242.0,True,1,54.0,,,,,,,,,,,,,,,,,,,,,,,,\n39,psycopg2,psycopg/psycopg2,psycopg2,psycopg2,,db-clients,,https://github.com/psycopg/psycopg2,https://github.com/psycopg/psycopg2,BSD-3-Clause-Attribution,2013-01-21 11:05:11.000000,2020-12-25 15:42:39.583000,2020-12-16 23:41:45.000000,361.0,44.0,925.0,2013.0,2871.0,2020-12-25 13:51:59.000000,2.8.6,45.0,PostgreSQL database adapter for the Python programming language.,404942.0,285730.0,111.0,35,https://pypi.org/project/psycopg2,2020-09-06 22:41:27.000000,119212.0,5015826.0,5016280.0,https://anaconda.org/anaconda/psycopg2,2020-12-16 23:03:43.011000,27719.0,False,1,,,,,,,,,,,,,,0.0,,,,,,,,,,,\n40,MXNet,apache/incubator-mxnet,mxnet,mxnet,,ml-frameworks,['mxnet'],https://github.com/apache/incubator-mxnet,https://github.com/apache/incubator-mxnet,Apache-2.0,2015-04-30 16:21:15.000000,2020-12-24 14:27:09.000000,2020-12-24 14:27:07.000000,6790.0,1807.0,7540.0,19195.0,11491.0,2020-08-28 05:08:24.000000,1.7.0,976.0,\"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..\",2122.0,1678.0,946.0,34,https://pypi.org/project/mxnet,2020-08-28 06:18:15.000000,444.0,131236.0,131815.0,https://anaconda.org/anaconda/mxnet,2020-02-29 00:58:31.007000,5636.0,True,2,23299.0,,,,,,,,,,,,,0.0,,,,,,,,,,,\n41,dash,plotly/dash,dash,conda-forge/dash,,data-viz,,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000000,2020-12-27 00:20:17.000000,2020-12-18 15:14:48.000000,1377.0,387.0,549.0,13594.0,3542.0,2020-12-09 22:01:52.000000,1.18.1,136.0,\"Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.\",17556.0,15948.0,68.0,34,https://pypi.org/project/dash,2020-12-09 21:34:25.000000,1608.0,240210.0,246750.0,https://anaconda.org/conda-forge/dash,2020-12-11 15:37:58.126000,202769.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n42,nltk,nltk/nltk,nltk,conda-forge/nltk,,nlp,,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58.000000,2020-12-27 21:51:22.000000,2020-12-23 09:08:06.000000,2397.0,243.0,1218.0,9509.0,,2019-08-20 10:55:21.000000,3.4.5,39.0,Suite of libraries and programs for symbolic and statistical natural language processing for English.,104841.0,83849.0,384.0,34,https://pypi.org/project/nltk,2020-04-12 23:46:10.000000,20992.0,4201791.0,4213480.0,https://anaconda.org/conda-forge/nltk,2019-08-08 17:07:46.504000,607873.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n43,kafka-python,dpkp/kafka-python,kafka-python,conda-forge/kafka-python,,db-clients,,https://github.com/dpkp/kafka-python,https://github.com/dpkp/kafka-python,Apache-2.0,2012-09-24 13:00:26.000000,2020-12-23 14:52:53.000000,2020-12-02 14:45:13.000000,1099.0,135.0,1148.0,4142.0,2152.0,2020-09-30 07:33:37.000000,2.0.1,36.0,Python client for Apache Kafka.,7576.0,5556.0,202.0,34,https://pypi.org/project/kafka-python,2020-09-30 07:24:01.000000,2020.0,1953425.0,1958849.0,https://anaconda.org/conda-forge/kafka-python,2020-09-30 13:01:38.284000,232332.0,True,2,1666.0,,,,,,,,,,,,,,,,,,,,,,,,\n44,Bokeh,bokeh/bokeh,bokeh,conda-forge/bokeh,,data-viz,,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000000,2020-12-26 21:40:51.000000,2020-12-22 10:39:03.000000,3591.0,590.0,5713.0,14439.0,,2020-10-21 02:39:03.000000,2.2.3,81.0,\"Interactive Data Visualization in the browser, from Python.\",35079.0,29207.0,541.0,33,https://pypi.org/project/bokeh,2020-12-08 11:21:40.000000,5872.0,1042156.0,1121550.0,https://anaconda.org/conda-forge/bokeh,2020-11-23 14:37:30.508000,3493373.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n45,Ray,ray-project/ray,ray,,,distributed-ml,,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000000,2020-12-28 00:27:53.000000,2020-12-27 14:46:03.000000,2258.0,1173.0,4374.0,14197.0,6791.0,2020-12-24 10:13:39.000000,1.1.0,43.0,\"An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged..\",1552.0,1392.0,410.0,33,https://pypi.org/project/ray,2020-12-24 10:13:39.000000,160.0,209891.0,209891.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n46,luigi,spotify/luigi,luigi,luigi,,data-pipelines,,https://github.com/spotify/luigi,https://github.com/spotify/luigi,Apache-2.0,2012-09-20 15:06:38.000000,2020-12-24 05:44:15.000000,2020-12-10 19:36:46.000000,2208.0,67.0,835.0,14051.0,3939.0,2020-09-23 11:57:43.000000,3.0.2,72.0,\"Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution,..\",1968.0,1292.0,546.0,33,https://pypi.org/project/luigi,2020-09-23 11:57:12.000000,676.0,384598.0,384705.0,https://anaconda.org/anaconda/luigi,2020-07-21 19:50:10.849000,6215.0,True,1,,stable/luigi,,,,,,,,,,,,,,,,,,,,,,,\n47,shap,slundberg/shap,shap,conda-forge/shap,,interpretability,,https://github.com/slundberg/shap,https://github.com/slundberg/shap,MIT,2016-11-22 19:17:08.000000,2020-12-24 23:28:23.000000,2020-12-24 23:28:15.000000,1603.0,866.0,490.0,11240.0,1743.0,2020-11-04 21:38:32.000000,0.37.0,92.0,A game theoretic approach to explain the output of any machine learning model.,1932.0,1796.0,141.0,33,https://pypi.org/project/shap,2020-11-04 21:38:32.000000,136.0,720680.0,732778.0,https://anaconda.org/conda-forge/shap,2020-12-16 19:26:39.477000,338771.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n48,pytorch-lightning,PyTorchLightning/pytorch-lightning,pytorch-lightning,conda-forge/pytorch-lightning,,ml-frameworks,['pytorch'],https://github.com/PyTorchLightning/pytorch-lightning,https://github.com/PyTorchLightning/pytorch-lightning,Apache-2.0,2019-03-31 00:45:57.000000,2020-12-28 00:06:39.000000,2020-12-26 23:22:53.000000,1255.0,359.0,2297.0,10995.0,4010.0,2020-12-23 09:49:58.000000,1.1.2,144.0,\"The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.\",1529.0,1515.0,351.0,33,https://pypi.org/project/pytorch-lightning,2020-12-23 09:49:58.000000,14.0,106378.0,108445.0,https://anaconda.org/conda-forge/pytorch-lightning,2020-12-23 13:11:44.339000,12403.0,True,2,14.0,,,,,,,,,,,,,,,,,,,,,,,,\n49,dlib,davisking/dlib,dlib,conda-forge/dlib,,ml-frameworks,,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000000,2020-12-27 14:19:23.000000,2020-12-19 01:12:12.000000,2832.0,46.0,1797.0,9750.0,7894.0,2020-12-04 19:23:04.000000,19.21.1,28.0,A toolkit for making real world machine learning and data analysis applications in C++.,9053.0,7695.0,162.0,33,https://pypi.org/project/dlib,2020-12-04 19:23:04.000000,1358.0,78599.0,83984.0,https://anaconda.org/conda-forge/dlib,2020-12-05 11:14:31.456000,255939.0,False,2,24279.0,,,,,,,,,,,,,,,,,,,,,,,,\n50,onnx,onnx/onnx,onnx,conda-forge/onnx,,model-serialisation,,https://github.com/onnx/onnx,https://github.com/onnx/onnx,MIT,2017-09-07 04:53:45.000000,2020-12-24 01:20:25.000000,2020-12-20 04:37:49.000000,1723.0,501.0,909.0,9551.0,1653.0,2020-11-07 00:55:30.000000,1.8.0,19.0,Open standard for machine learning interoperability.,2589.0,2293.0,188.0,33,https://pypi.org/project/onnx,2020-11-06 22:46:10.000000,296.0,323226.0,328267.0,https://anaconda.org/conda-forge/onnx,2020-11-10 11:04:34.755000,177381.0,True,1,9404.0,,,,,,,,,,,,,,,,,,,,,,,,\n51,mlflow,mlflow/mlflow,mlflow,conda-forge/mlflow,,ml-experiments,,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000000,2020-12-28 01:20:36.000000,2020-12-28 00:59:16.000000,1815.0,651.0,1016.0,8060.0,1823.0,2020-12-25 07:36:45.000000,1.13.0,39.0,Open source platform for the machine learning lifecycle.,1864.0,1710.0,268.0,33,https://pypi.org/project/mlflow,2020-12-25 06:39:50.000000,154.0,2554068.0,2563609.0,https://anaconda.org/conda-forge/mlflow,2020-12-16 08:15:02.743000,190820.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n52,peewee,coleifer/peewee,peewee,conda-forge/peewee,,db-clients,,https://github.com/coleifer/peewee,https://github.com/coleifer/peewee,MIT,2010-10-11 20:14:11.000000,2020-11-26 16:40:21.000000,2020-11-26 16:31:52.000000,1254.0,1.0,1909.0,8029.0,4280.0,2020-11-07 18:48:43.000000,3.14.0,165.0,\"a small, expressive orm -- supports postgresql, mysql and sqlite.\",18100.0,11636.0,144.0,33,https://pypi.org/project/peewee,2020-11-07 18:47:45.000000,6464.0,175492.0,180552.0,https://anaconda.org/conda-forge/peewee,2020-11-11 21:24:13.453000,268220.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n53,python-bigquery,googleapis/python-bigquery,google-cloud-bigquery,,,db-clients,,https://github.com/googleapis/python-bigquery,https://github.com/googleapis/python-bigquery,Apache-2.0,2019-12-10 00:09:04.000000,2020-12-26 17:06:14.000000,2020-12-22 22:20:48.000000,1333.0,43.0,161.0,3426.0,1068.0,2020-12-09 21:06:40.000000,2.6.1,74.0,Google BigQuery API client library.,7394.0,6144.0,86.0,33,https://pypi.org/project/google-cloud-bigquery,2020-12-09 21:06:40.000000,1250.0,9308303.0,9308303.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n54,xlrd,python-excel/xlrd,xlrd,conda-forge/xlrd,,data-loading,,https://github.com/python-excel/xlrd,https://github.com/python-excel/xlrd,BSD-3-Clause,2012-03-07 04:50:48.000000,2020-12-12 15:24:26.000000,2020-12-12 15:24:25.000000,406.0,3.0,,1834.0,502.0,2020-12-11 10:14:20.000000,2.0.1,24.0,Please use openpyxl where you can...,73603.0,60029.0,50.0,33,https://pypi.org/project/xlrd,2020-12-11 10:14:20.000000,13574.0,5510678.0,5535473.0,https://anaconda.org/conda-forge/xlrd,2020-07-25 21:25:25.518000,1115818.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n55,Fastai,fastai/fastai,fastai,,,ml-frameworks,['pytorch'],https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000000,2020-12-28 00:38:01.000000,2020-12-28 00:37:57.000000,6874.0,59.0,1277.0,20188.0,1615.0,2020-12-22 20:02:47.000000,2.1.10,110.0,\"The fastai deep learning library, plus lessons and tutorials.\",368.0,,472.0,32,https://pypi.org/project/fastai,2020-12-22 20:02:53.000000,368.0,107271.0,107271.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n56,jax,google/jax,jax,conda-forge/jaxlib,,ml-frameworks,,https://github.com/google/jax,https://github.com/google/jax,Apache-2.0,2018-10-25 21:25:02.000000,2020-12-27 15:57:09.000000,2020-12-24 06:42:10.000000,892.0,685.0,1321.0,10839.0,6377.0,2020-12-05 06:20:45.000000,0.2.7,86.0,\"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.\",958.0,912.0,239.0,32,https://pypi.org/project/jax,2020-12-05 06:20:45.000000,46.0,79121.0,82882.0,https://anaconda.org/conda-forge/jaxlib,2020-10-14 04:33:18.732000,63947.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n57,tensor2tensor,tensorflow/tensor2tensor,tensor2tensor,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/tensor2tensor,https://github.com/tensorflow/tensor2tensor,Apache-2.0,2017-06-15 16:57:39.000000,2020-12-15 01:23:04.000000,2020-11-16 14:28:10.000000,2688.0,545.0,662.0,10722.0,4345.0,2020-06-17 16:15:36.000000,1.15.7,79.0,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,950.0,868.0,230.0,32,https://pypi.org/project/tensor2tensor,2020-06-17 16:15:36.000000,82.0,61126.0,61126.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n58,imgaug,aleju/imgaug,imgaug,conda-forge/imgaug,,image,,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33.000000,2020-10-19 12:23:22.000000,2020-06-01 14:58:26.000000,1943.0,212.0,203.0,10451.0,2913.0,2020-02-06 06:18:40.000000,0.4.0,11.0,Image augmentation for machine learning experiments.,5149.0,4871.0,36.0,32,https://pypi.org/project/imgaug,2020-02-05 20:54:22.000000,278.0,148593.0,150262.0,https://anaconda.org/conda-forge/imgaug,2020-02-14 16:06:53.525000,30051.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n59,Rasa,RasaHQ/rasa,rasa,,,nlp,['tensorflow'],https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49.000000,2020-12-24 17:57:56.000000,2020-12-22 11:49:25.000000,3153.0,499.0,4292.0,10412.0,24092.0,2020-12-21 18:34:10.000000,2.2.2,174.0,\"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..\",64.0,,452.0,32,https://pypi.org/project/rasa,2020-12-21 18:34:01.000000,64.0,69423.0,69423.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n60,Chainer,chainer/chainer,chainer,,,ml-frameworks,,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37.000000,2020-12-23 09:08:21.000000,2020-12-23 09:08:19.000000,1371.0,16.0,2016.0,5509.0,30550.0,2020-07-30 09:01:53.000000,7.7.0,108.0,A flexible framework of neural networks for deep learning.,2505.0,1763.0,319.0,32,https://pypi.org/project/chainer,2020-07-30 09:01:53.000000,742.0,20060.0,20060.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n61,PyMC3,pymc-devs/pymc3,pymc3,conda-forge/pymc3,,probabilistics,,https://github.com/pymc-devs/pymc3,https://github.com/pymc-devs/pymc3,Apache-2.0,2009-05-05 09:43:50.000000,2020-12-27 19:28:59.000000,2020-12-26 15:19:31.000000,1316.0,154.0,1944.0,5451.0,7608.0,2020-12-07 15:59:43.000000,3.10.0,30.0,Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano.,2157.0,1871.0,301.0,32,https://pypi.org/project/pymc3,2020-12-07 15:45:00.000000,286.0,124974.0,129712.0,https://anaconda.org/conda-forge/pymc3,2020-12-07 20:54:14.048000,236855.0,True,1,145.0,,,,,,,,,,,,,,,,,,,,,,,,\n62,Beam,apache/beam,apache-beam,,,data-pipelines,,https://github.com/apache/beam,https://github.com/apache/beam,Apache-2.0,2016-02-02 08:00:06.000000,2020-12-27 23:47:24.000000,2020-12-25 21:27:01.000000,2739.0,115.0,,4470.0,30066.0,2020-12-11 21:24:20.000000,2.26.0,29.0,\"Unified programming model to define and execute data processing pipelines, including ETL, batch and stream processing.\",186.0,,985.0,32,https://pypi.org/project/apache-beam,2020-12-11 19:58:03.000000,186.0,1721450.0,1721450.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n63,xmltodict,martinblech/xmltodict,xmltodict,conda-forge/xmltodict,,data-loading,,https://github.com/martinblech/xmltodict,https://github.com/martinblech/xmltodict,MIT,2012-04-17 14:38:21.000000,2020-11-05 01:54:38.000000,2020-04-26 05:15:03.000000,393.0,63.0,134.0,4212.0,205.0,2019-02-11 07:00:26.000000,0.12.0,27.0,Python module that makes working with XML feel like you are working with JSON.,27850.0,19616.0,41.0,32,https://pypi.org/project/xmltodict,2019-02-11 07:00:26.000000,8234.0,4036342.0,4047403.0,https://anaconda.org/conda-forge/xmltodict,2019-02-11 11:53:14.803000,575216.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n64,Tablib,jazzband/tablib,tablib,conda-forge/tablib,,data-loading,,https://github.com/jazzband/tablib,https://github.com/jazzband/tablib,MIT,2011-03-28 02:36:50.000000,2020-12-13 06:03:08.000000,2020-12-11 07:22:54.000000,557.0,34.0,197.0,3821.0,1123.0,2020-12-05 14:56:28.000000,3.0.0,38.0,\"Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c.\",11209.0,8851.0,110.0,32,https://pypi.org/project/tablib,2020-12-05 14:56:28.000000,2358.0,587364.0,588497.0,https://anaconda.org/conda-forge/tablib,2020-12-05 16:40:48.469000,55556.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n65,geopy,geopy/geopy,geopy,conda-forge/geopy,,geospatial-data,,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000000,2020-12-27 16:15:47.000000,2020-12-27 16:15:28.000000,524.0,24.0,211.0,3119.0,1004.0,2020-12-27 13:15:23.000000,2.1.0,57.0,Geocoding library for Python.,22174.0,14930.0,117.0,32,https://pypi.org/project/geopy,2020-12-27 13:12:21.000000,7244.0,2963486.0,2972087.0,https://anaconda.org/conda-forge/geopy,2020-12-27 14:22:55.127000,490301.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n66,tensorflow-hub,tensorflow/hub,tensorflow-hub,conda-forge/tensorflow-hub,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42.000000,2020-12-19 09:36:10.000000,2020-12-16 13:50:57.000000,1409.0,44.0,490.0,2664.0,805.0,2020-10-29 15:10:15.000000,0.10.0,13.0,A library for transfer learning by reusing parts of TensorFlow models.,5121.0,4807.0,65.0,32,https://pypi.org/project/tensorflow-hub,2020-10-29 14:53:02.000000,314.0,1082023.0,1083625.0,https://anaconda.org/conda-forge/tensorflow-hub,2020-08-24 16:43:36.561000,48077.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n67,TensorFlow Datasets,tensorflow/datasets,tensorflow-datasets,,,data-loading,['tensorflow'],https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000000,2020-12-22 23:06:13.000000,2020-12-18 21:04:47.000000,888.0,380.0,497.0,2582.0,3639.0,2020-11-04 12:02:52.000000,4.1.0,19.0,\"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...\",3297.0,3195.0,177.0,32,https://pypi.org/project/tensorflow-datasets,2020-10-09 17:47:49.000000,102.0,545132.0,545132.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n68,Thinc,explosion/thinc,thinc,conda-forge/thinc,,ml-frameworks,,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59.000000,2020-12-27 20:32:54.000000,2020-12-27 20:32:53.000000,185.0,14.0,80.0,2126.0,4866.0,2020-12-11 09:45:43.000000,7.4.5,182.0,\"A refreshing functional take on deep learning, compatible with your favorite libraries.\",11385.0,10247.0,34.0,32,https://pypi.org/project/thinc,2020-12-16 23:18:41.000000,1138.0,889542.0,907627.0,https://anaconda.org/conda-forge/thinc,2020-12-18 09:40:27.092000,831915.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n69,xarray,pydata/xarray,xarray,conda-forge/xarray,,data-containers,,https://github.com/pydata/xarray,https://github.com/pydata/xarray,Apache-2.0,2013-09-30 17:21:10.000000,2020-12-26 15:47:44.000000,2020-12-24 16:29:44.000000,609.0,766.0,1853.0,1881.0,3444.0,2020-11-30 21:28:55.000000,0.16.2,55.0,N-D labeled arrays and datasets in Python.,5851.0,4719.0,286.0,32,https://pypi.org/project/xarray,2020-11-30 21:26:20.000000,1132.0,288717.0,327217.0,https://anaconda.org/conda-forge/xarray,2020-12-01 04:59:09.242000,2194550.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n70,imageio,imageio/imageio,imageio,conda-forge/imageio,,image,,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000000,2020-12-11 13:32:14.000000,2020-12-07 13:48:21.000000,160.0,61.0,269.0,817.0,1125.0,2020-07-10 07:45:22.000000,2.9.0,31.0,Python library for reading and writing image data.,37773.0,33935.0,69.0,32,https://pypi.org/project/imageio,2020-07-06 13:20:41.000000,3838.0,1842719.0,1876251.0,https://anaconda.org/conda-forge/imageio,2020-07-06 14:13:25.518000,1576027.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n71,DeepSpeech,mozilla/DeepSpeech,deepspeech,,,audio,['tensorflow'],https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53.000000,2020-12-23 13:07:42.000000,2020-12-19 09:28:21.000000,2971.0,85.0,1820.0,16141.0,3329.0,2020-12-10 17:22:09.000000,0.9.3,100.0,\"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..\",399.0,370.0,152.0,31,https://pypi.org/project/deepspeech,2020-12-19 10:05:12.000000,29.0,16720.0,30877.0,,,,True,1,382247.0,,,,,,,,,,,,,,,,,,,,,,,,\n72,ChatterBot,gunthercox/ChatterBot,chatterbot,,,nlp,,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00.000000,2020-12-23 21:20:40.000000,2020-08-20 21:16:14.000000,3563.0,201.0,1218.0,10665.0,1847.0,2020-08-22 18:42:43.000000,1.0.8,86.0,\"ChatterBot is a machine learning, conversational dialog engine for creating chat bots.\",3679.0,2999.0,103.0,31,https://pypi.org/project/chatterbot,2020-08-22 18:40:36.000000,680.0,23464.0,23464.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n73,pyecharts,pyecharts/pyecharts,pyecharts,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,data-viz,['jupyter'],https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000000,2020-12-23 04:48:43.000000,2020-12-23 04:48:42.000000,2291.0,29.0,1317.0,10274.0,1510.0,2020-10-29 15:14:08.000000,1.9.0,66.0,Python Echarts Plotting Library.,1677.0,1395.0,29.0,31,https://pypi.org/project/pyecharts,2020-10-29 15:14:08.000000,282.0,32623.0,32623.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n74,wordcloud,amueller/word_cloud,wordcloud,conda-forge/wordcloud,,data-viz,,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59.000000,2020-11-16 19:55:57.630000,2020-11-11 21:35:51.000000,2001.0,91.0,343.0,7750.0,540.0,2020-11-11 21:41:02.000000,1.8.1,16.0,A little word cloud generator in Python.,9200.0,8096.0,58.0,31,https://pypi.org/project/wordcloud,2020-11-11 21:41:02.000000,1104.0,242649.0,246085.0,https://anaconda.org/conda-forge/wordcloud,2020-11-16 19:55:57.630000,178680.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n75,Catboost,catboost/catboost,catboost,conda-forge/catboost,,ml-frameworks,,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000000,2020-12-28 00:10:53.000000,2020-12-28 00:10:49.000000,854.0,298.0,1026.0,5616.0,14050.0,2020-12-27 09:12:53.000000,0.24.4,91.0,\"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..\",162.0,,709.0,31,https://pypi.org/project/catboost,2020-12-27 06:58:33.000000,162.0,660029.0,678711.0,https://anaconda.org/conda-forge/catboost,2020-11-18 15:48:17.661000,542400.0,True,2,46289.0,,,,,,,,,,,,,,,,,,,,,,,,\n76,Hyperopt,hyperopt/hyperopt,hyperopt,conda-forge/hyperopt,,hyperopt,,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59.000000,2020-12-24 07:20:11.000000,2020-12-24 07:20:10.000000,841.0,323.0,219.0,5293.0,1168.0,2020-10-07 09:52:56.000000,0.2.5,11.0,Distributed Asynchronous Hyperparameter Optimization in Python.,2919.0,2415.0,84.0,31,https://pypi.org/project/hyperopt,2020-10-07 09:52:56.000000,504.0,459244.0,464682.0,https://anaconda.org/conda-forge/hyperopt,2020-10-14 07:57:14.292000,146840.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n77,folium,python-visualization/folium,folium,conda-forge/folium,,geospatial-data,,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000000,2020-12-23 13:00:10.000000,2020-12-23 12:54:35.000000,1864.0,143.0,681.0,5058.0,1464.0,2020-05-07 13:33:22.000000,0.11.0,22.0,Python Data. Leaflet.js Maps.,8783.0,7815.0,119.0,31,https://pypi.org/project/folium,2020-05-07 13:33:22.000000,968.0,245857.0,251261.0,https://anaconda.org/conda-forge/folium,2020-05-07 14:25:29.817000,308077.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n78,sentencepiece,google/sentencepiece,sentencepiece,conda-forge/sentencepiece,,nlp,,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000000,2020-12-12 08:07:26.000000,2020-12-12 08:07:24.000000,602.0,34.0,363.0,4669.0,639.0,2020-10-24 05:57:45.000000,0.1.94,29.0,Unsupervised text tokenizer for Neural Network-based text generation.,5228.0,5108.0,46.0,31,https://pypi.org/project/sentencepiece,2020-10-24 05:57:45.000000,120.0,1059291.0,1063643.0,https://anaconda.org/conda-forge/sentencepiece,2020-10-10 10:54:37.164000,20152.0,True,1,9025.0,,,,,,,,,,,,,,,,,,,,,,,,\n79,Optuna,optuna/optuna,optuna,conda-forge/optuna,,hyperopt,,https://github.com/optuna/optuna,https://github.com/optuna/optuna,MIT,2018-02-21 06:12:56.000000,2020-12-27 14:12:03.000000,2020-12-25 09:31:00.000000,434.0,161.0,447.0,3795.0,8599.0,2020-11-04 04:28:46.000000,2.3.0,33.0,A hyperparameter optimization framework.,862.0,810.0,120.0,31,https://pypi.org/project/optuna,2020-11-04 04:29:39.000000,52.0,166536.0,167751.0,https://anaconda.org/conda-forge/optuna,2020-11-11 01:21:26.236000,15798.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n80,tensorflow-probability,tensorflow/probability,tensorflow-probability,conda-forge/tensorflow-probability,,probabilistics,['tensorflow'],https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000000,2020-12-23 22:36:15.000000,2020-12-23 22:36:10.000000,838.0,421.0,509.0,3173.0,10135.0,2020-10-09 23:49:08.000000,0.11.1,33.0,Probabilistic reasoning and statistical analysis in TensorFlow.,253.0,1.0,397.0,31,https://pypi.org/project/tensorflow-probability,2020-12-09 04:59:50.000000,252.0,269852.0,271141.0,https://anaconda.org/conda-forge/tensorflow-probability,2020-03-13 21:04:53.147000,28362.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n81,Elasticsearch DSL,elastic/elasticsearch-dsl-py,elasticsearch-dsl,,,db-clients,,https://github.com/elastic/elasticsearch-dsl-py,https://github.com/elastic/elasticsearch-dsl-py,Apache-2.0,2014-03-05 16:19:39.000000,2020-12-18 15:29:56.000000,2020-12-08 20:53:06.000000,665.0,54.0,1093.0,3121.0,1007.0,2020-09-17 13:45:33.000000,7.3.0,32.0,High level Python client for Elasticsearch.,5621.0,4065.0,121.0,31,https://pypi.org/project/elasticsearch-dsl,2020-09-17 13:41:36.000000,1556.0,902419.0,902426.0,,,,True,2,21.0,,,,,,,,,,,,,,,,,,,,,,,,\n82,GeoPandas,geopandas/geopandas,geopandas,conda-forge/geopandas,,geospatial-data,['pandas'],https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000000,2020-12-27 23:02:14.000000,2020-12-27 14:30:35.000000,528.0,294.0,651.0,2409.0,1305.0,2020-07-15 17:59:00.000000,0.8.1,34.0,Python tools for geographic data.,7841.0,6675.0,127.0,31,https://pypi.org/project/geopandas,2020-06-24 13:38:40.000000,1166.0,406401.0,420279.0,https://anaconda.org/conda-forge/geopandas,2020-07-16 18:56:42.068000,790242.0,True,1,831.0,,,,,,,,,,,,,,,,,,,,,,,,\n83,scikit-optimize,scikit-optimize/scikit-optimize,scikit-optimize,conda-forge/scikit-optimize,,hyperopt,,https://github.com/scikit-optimize/scikit-optimize,https://github.com/scikit-optimize/scikit-optimize,BSD-3-Clause,2016-03-20 21:10:54.000000,2020-12-27 19:23:14.000000,2020-09-29 13:32:21.000000,366.0,160.0,353.0,1993.0,1540.0,2020-09-04 09:08:10.000000,0.8.1,22.0,Sequential model-based optimization with a `scipy.optimize` interface.,1414.0,1254.0,67.0,31,https://pypi.org/project/scikit-optimize,2020-09-04 09:08:10.000000,160.0,493827.0,498137.0,https://anaconda.org/conda-forge/scikit-optimize,2020-09-04 09:50:52.372000,176710.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n84,Prometheus Client,prometheus/client_python,prometheus_client,conda-forge/prometheus_client,,db-clients,,https://github.com/prometheus/client_python,https://github.com/prometheus/client_python,Apache-2.0,2015-02-10 22:47:25.000000,2020-12-27 19:13:50.000000,2020-12-27 19:13:45.000000,499.0,26.0,285.0,1941.0,408.0,2020-11-16 13:40:13.000000,0.9.0,33.0,Prometheus instrumentation library for Python applications.,3738.0,,96.0,31,https://pypi.org/project/prometheus_client,2019-06-20 13:35:09.000000,3738.0,11977038.0,12020352.0,https://anaconda.org/conda-forge/prometheus_client,2020-11-16 16:13:46.080000,2165711.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n85,MNE,mne-tools/mne-python,mne,conda-forge/mne,,medical-data,,https://github.com/mne-tools/mne-python,https://github.com/mne-tools/mne-python,BSD-3-Clause,2011-01-28 03:31:13.000000,2020-12-25 21:45:58.000000,2020-12-25 21:45:57.000000,836.0,298.0,3060.0,1460.0,15672.0,2020-12-17 15:32:54.000000,0.22.0,50.0,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,958.0,760.0,237.0,31,https://pypi.org/project/mne,2020-12-17 15:32:54.000000,198.0,31494.0,33532.0,https://anaconda.org/conda-forge/mne,2020-12-20 21:44:36.472000,93761.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n86,influxdb,influxdata/influxdb-python,influxdb,conda-forge/influxdb,,db-clients,,https://github.com/influxdata/influxdb-python,https://github.com/influxdata/influxdb-python,MIT,2013-11-05 19:27:16.000000,2020-12-26 00:40:40.000000,2020-11-11 21:03:24.000000,479.0,130.0,366.0,1443.0,961.0,2020-11-11 21:23:41.000000,5.3.1,54.0,Python client for InfluxDB.,5896.0,3786.0,133.0,31,https://pypi.org/project/influxdb,2020-11-11 21:23:41.000000,2110.0,1058793.0,1059789.0,https://anaconda.org/conda-forge/influxdb,2020-11-12 02:29:15.949000,7969.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n87,Cassandra Driver,datastax/python-driver,cassandra-driver,conda-forge/cassandra-driver,,db-clients,,https://github.com/datastax/python-driver,https://github.com/datastax/python-driver,Apache-2.0,2013-07-08 19:02:31.000000,2020-11-30 17:16:16.000000,2020-11-11 00:22:01.000000,446.0,13.0,,1201.0,5939.0,2020-06-18 14:44:49.000000,3.24.0,70.0,DataStax Python Driver for Apache Cassandra.,3518.0,2332.0,174.0,31,https://pypi.org/project/cassandra-driver,2020-06-18 14:44:49.000000,1186.0,571934.0,573288.0,https://anaconda.org/conda-forge/cassandra-driver,2020-10-12 14:49:43.415000,59577.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n88,feedparser,kurtmckee/feedparser,feedparser,,,web-scraping,,https://github.com/kurtmckee/feedparser,https://github.com/kurtmckee/feedparser,BSD-2-Clause,2010-11-26 02:53:24.000000,2020-12-27 18:45:11.000000,2020-12-27 18:44:36.000000,254.0,66.0,108.0,1159.0,1040.0,2020-10-25 17:38:15.000000,6.0.2,15.0,Parse feeds in Python.,13774.0,,42.0,31,https://pypi.org/project/feedparser,2020-10-25 17:38:15.000000,13774.0,529349.0,529349.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n89,fastText,facebookresearch/fastText,fasttext,conda-forge/fasttext,,nlp,,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000000,2020-10-31 15:50:36.000000,2020-07-18 00:20:40.000000,4198.0,400.0,588.0,22068.0,379.0,2020-04-28 09:54:50.000000,0.9.2,35.0,Library for fast text representation and classification.,1581.0,1391.0,58.0,30,https://pypi.org/project/fasttext,2020-04-28 09:54:50.000000,190.0,117779.0,118225.0,https://anaconda.org/conda-forge/fasttext,2020-10-12 14:55:45.199000,16952.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n90,PaddlePaddle,PaddlePaddle/Paddle,paddlepaddle,,,ml-frameworks,['paddle'],https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000000,2020-12-27 15:15:21.000000,2020-12-27 15:15:19.000000,3354.0,2271.0,10169.0,13657.0,15069.0,2020-12-18 09:06:54.000000,2.0.0-rc1,41.0,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,38.0,22.0,486.0,30,https://pypi.org/project/paddlepaddle,2020-12-14 08:03:41.000000,16.0,8260.0,8553.0,,,,True,2,15245.0,,,,,,,,,,,,,,,,,,,,,,,,\n91,zipline,quantopian/zipline,zipline,,,financial-data,,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29.000000,2020-12-18 13:20:06.000000,2020-10-14 16:36:49.000000,3590.0,318.0,645.0,12988.0,6226.0,2020-10-05 15:46:20.429000,1.4.1,30.0,\"Zipline, a Pythonic Algorithmic Trading Library.\",737.0,658.0,151.0,30,https://pypi.org/project/zipline,2020-10-05 15:46:20.429000,79.0,4024.0,4024.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n92,Prophet,facebook/prophet,fbprophet,,,time-series-data,,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000000,2020-12-22 09:17:09.000000,2020-12-08 23:35:54.000000,3393.0,94.0,1391.0,12017.0,603.0,2020-09-05 16:12:50.000000,0.7.1,14.0,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,150.0,,121.0,30,https://pypi.org/project/fbprophet,2020-09-05 16:12:50.000000,150.0,660547.0,660558.0,,,,True,1,519.0,,,,,,,,,,,,,,,,,,,,,,,,\n93,fairseq,pytorch/fairseq,fairseq,,,nlp,['pytorch'],https://github.com/pytorch/fairseq,https://github.com/pytorch/fairseq,MIT,2017-08-29 16:26:12.000000,2020-12-24 02:36:00.000000,2020-12-24 02:35:54.000000,2691.0,569.0,1718.0,10798.0,1685.0,2020-11-21 20:52:43.000000,0.10.1,12.0,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,273.0,253.0,281.0,30,https://pypi.org/project/fairseq,2020-11-21 20:52:43.000000,20.0,8033.0,8034.0,,,,True,1,49.0,,,,,,,,,,,,,,,,,,,,,,,,\n94,horovod,horovod/horovod,horovod,,,distributed-ml,,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000000,2020-12-23 22:57:40.000000,2020-12-22 15:22:03.000000,1681.0,254.0,1364.0,10610.0,832.0,2020-11-23 23:57:42.000000,0.21.0,60.0,\"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.\",322.0,302.0,109.0,30,https://pypi.org/project/horovod,2020-10-01 14:54:24.000000,20.0,111810.0,111810.0,,,,True,1,,stable/horovod,,,,,,,,,,,,,,,,,,,,,,,\n95,flair,flairNLP/flair,flair,,,nlp,['pytorch'],https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,MIT,2018-06-11 11:04:18.000000,2020-12-27 22:05:22.000000,2020-12-17 06:42:58.000000,1405.0,113.0,1305.0,9726.0,2984.0,2020-12-01 19:35:00.000000,0.7,19.0,A very simple framework for state-of-the-art Natural Language Processing (NLP).,619.0,571.0,156.0,30,https://pypi.org/project/flair,2020-12-01 19:02:38.000000,48.0,36247.0,36247.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n96,TFlearn,tflearn/tflearn,tflearn,,,ml-frameworks,['tensorflow'],https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,MIT,2016-03-31 12:05:53.000000,2020-11-30 04:35:03.000000,2020-11-30 04:34:51.000000,2423.0,574.0,358.0,9485.0,613.0,2020-11-11 19:26:11.000000,0.5.0,8.0,Deep learning library featuring a higher-level API for TensorFlow.,3343.0,2862.0,128.0,30,https://pypi.org/project/tflearn,2020-11-11 19:13:47.000000,481.0,15013.0,15013.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n97,Vowpal Wabbit,VowpalWabbit/vowpal_wabbit,vowpalwabbit,,,ml-frameworks,,https://github.com/VowpalWabbit/vowpal_wabbit,https://github.com/VowpalWabbit/vowpal_wabbit,BSD-3-Clause,2009-07-31 19:36:58.000000,2020-12-25 00:01:12.000000,2020-12-24 10:19:21.000000,1696.0,161.0,855.0,7362.0,8971.0,2020-11-12 14:41:09.000000,8.9.0,12.0,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,95.0,87.0,296.0,30,https://pypi.org/project/vowpalwabbit,2020-11-12 14:41:09.000000,8.0,16174.0,16174.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n98,DVC,iterative/dvc,dvc,conda-forge/dvc,,ml-experiments,,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000000,2020-12-27 12:44:42.000000,2020-12-25 21:50:36.000000,656.0,489.0,2108.0,6955.0,6155.0,2020-12-23 11:40:04.000000,1.11.9,288.0,Data Version Control | Git for Data & Models.,552.0,506.0,199.0,30,https://pypi.org/project/dvc,2020-12-23 11:40:04.000000,46.0,58695.0,85510.0,https://anaconda.org/conda-forge/dvc,2020-12-23 13:52:17.036000,429081.0,True,1,15755.0,,dvc,,,,,,,,,,,,dvc,dvc,,,,,,,,,\n99,Prefect,PrefectHQ/prefect,prefect,conda-forge/prefect,,data-pipelines,,https://github.com/PrefectHQ/prefect,https://github.com/PrefectHQ/prefect,Apache-2.0,2018-06-29 21:59:26.000000,2020-12-25 09:21:40.000000,2020-12-24 16:17:47.000000,468.0,234.0,1252.0,5610.0,12923.0,2020-12-16 23:30:03.000000,0.14.0,77.0,The easiest way to automate your data.,218.0,216.0,168.0,30,https://pypi.org/project/prefect,2020-12-16 23:30:03.000000,2.0,31757.0,34760.0,https://anaconda.org/conda-forge/prefect,2020-12-17 01:40:58.976000,63077.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n100,SpeechRecognition,Uberi/speech_recognition,SpeechRecognition,conda-forge/speechrecognition,,audio,,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54.000000,2020-12-23 09:51:35.000000,2019-07-02 17:29:47.000000,1827.0,194.0,269.0,5307.0,360.0,2017-12-05 14:05:14.000000,3.8.1,52.0,\"Speech recognition module for Python, supporting several engines and APIs, online and offline.\",7318.0,6230.0,41.0,30,https://pypi.org/project/SpeechRecognition,2017-12-05 13:58:29.000000,1088.0,119868.0,121647.0,https://anaconda.org/conda-forge/speechrecognition,2020-10-10 22:21:01.100000,92537.0,False,1,,,,,,,,,,,,,,,,,,,,,,,,,\n101,imbalanced-learn,scikit-learn-contrib/imbalanced-learn,imbalanced-learn,conda-forge/imbalanced-learn,,others,['sklearn'],https://github.com/scikit-learn-contrib/imbalanced-learn,https://github.com/scikit-learn-contrib/imbalanced-learn,MIT,2014-08-16 05:08:26.000000,2020-12-23 12:15:04.000000,2020-11-03 21:43:11.000000,1024.0,47.0,401.0,4912.0,701.0,2020-06-09 10:45:32.000000,0.7.0,26.0,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,3884.0,3604.0,51.0,30,https://pypi.org/project/imbalanced-learn,2020-06-09 10:39:03.000000,280.0,771066.0,773787.0,https://anaconda.org/conda-forge/imbalanced-learn,2020-06-14 14:47:57.352000,103400.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n102,CuPy,cupy/cupy,cupy,conda-forge/cupy,,gpu-utilities,,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000000,2020-12-26 07:11:52.000000,2020-12-26 02:32:29.000000,430.0,366.0,851.0,4745.0,20162.0,2020-12-25 05:33:27.000000,8.3.0,85.0,A NumPy-compatible array library accelerated by CUDA.,819.0,627.0,253.0,30,https://pypi.org/project/cupy,2020-12-25 03:21:57.000000,192.0,8500.0,32485.0,https://anaconda.org/conda-forge/cupy,2020-10-29 21:40:07.267000,321079.0,True,1,3736.0,,,cupy/cupy,https://hub.docker.com/r/cupy/cupy,2020-12-26 02:37:29.941087,6.0,47551.0,,,,,,,,,,,,,,,,,\n103,MLxtend,rasbt/mlxtend,mlxtend,conda-forge/mlxtend,,others,['sklearn'],https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16.000000,2020-12-26 00:44:28.000000,2020-12-26 00:44:27.000000,683.0,99.0,260.0,3263.0,1143.0,2020-11-26 04:18:15.000000,0.18.0,46.0,A library of extension and helper modules for Python's data analysis and machine learning libraries.,2355.0,2260.0,79.0,30,https://pypi.org/project/mlxtend,2020-11-26 04:18:15.000000,95.0,247068.0,250661.0,https://anaconda.org/conda-forge/mlxtend,2020-11-26 05:32:00.667000,147330.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n104,bqplot,bqplot/bqplot,bqplot,conda-forge/bqplot,,data-viz,['jupyter'],https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18.000000,2020-12-18 14:59:43.000000,2020-12-18 07:40:15.000000,403.0,186.0,313.0,2967.0,3200.0,2020-11-05 14:39:24.000000,0.12.19,87.0,Plotting library for IPython/Jupyter notebooks.,1258.0,1136.0,51.0,30,https://pypi.org/project/bqplot,2020-11-05 14:39:24.000000,112.0,14501.0,157245.0,https://anaconda.org/conda-forge/bqplot,2020-10-12 22:00:13.153000,444076.0,True,2,,,,,,,,,bqplot,https://www.npmjs.com/package/bqplot,2020-10-12 19:58:11.526000,10.0,134670.0,,,,,,,,,,,,\n105,torchtext,pytorch/text,torchtext,,,nlp,['pytorch'],https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000000,2020-12-27 12:35:52.000000,2020-12-23 13:26:28.000000,584.0,261.0,310.0,2596.0,695.0,2020-12-10 17:03:55.000000,0.8.1,12.0,Data loaders and abstractions for text and NLP.,4086.0,3404.0,100.0,30,https://pypi.org/project/torchtext,2020-12-10 16:28:00.000000,682.0,97203.0,97203.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n106,mrjob,Yelp/mrjob,mrjob,conda-forge/mrjob,,data-pipelines,,https://github.com/Yelp/mrjob,https://github.com/Yelp/mrjob,Apache-2.0,2010-10-13 18:35:21.000000,2020-12-24 22:44:29.424000,2020-11-16 22:20:52.000000,590.0,199.0,1089.0,2524.0,8622.0,2020-09-17 22:26:01.000000,0.7.4,60.0,Run MapReduce jobs on Hadoop or Amazon Web Services.,750.0,638.0,142.0,30,https://pypi.org/project/mrjob,2020-09-17 22:26:01.000000,112.0,109277.0,115223.0,https://anaconda.org/conda-forge/mrjob,2020-12-24 22:44:29.424000,303275.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n107,confluent-kafka-python,confluentinc/confluent-kafka-python,confluent-kafka,,,db-clients,,https://github.com/confluentinc/confluent-kafka-python,https://github.com/confluentinc/confluent-kafka-python,Apache-2.0,2016-04-14 07:40:41.000000,2020-12-17 16:57:48.000000,2020-11-24 15:38:23.000000,551.0,230.0,468.0,2088.0,628.0,2020-07-22 08:23:51.000000,1.5.0,20.0,Confluent's Kafka Python Client.,2238.0,1936.0,66.0,30,https://pypi.org/project/confluent-kafka,2020-07-22 07:50:57.000000,302.0,945406.0,945406.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n108,pyodbc,mkleehammer/pyodbc,pyodbc,conda-forge/pyodbc,,db-clients,,https://github.com/mkleehammer/pyodbc,https://github.com/mkleehammer/pyodbc,MIT,2008-10-03 15:19:37.000000,2020-11-26 00:31:04.000000,2020-10-26 13:28:37.000000,407.0,215.0,510.0,1952.0,347.0,2020-02-08 18:09:57.000000,4.0.30,48.0,Python ODBC bridge.,3262.0,,36.0,30,https://pypi.org/project/pyodbc,2020-02-10 15:43:28.000000,3262.0,4091944.0,4101816.0,https://anaconda.org/conda-forge/pyodbc,2020-10-10 10:56:30.285000,394881.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n109,smart-open,RaRe-Technologies/smart_open,smart-open,,,data-loading,,https://github.com/RaRe-Technologies/smart_open,https://github.com/RaRe-Technologies/smart_open,MIT,2015-01-02 13:05:52.000000,2020-12-27 11:20:24.000000,2020-12-27 11:20:16.000000,261.0,69.0,224.0,1873.0,821.0,2020-11-27 06:14:57.000000,4.0.1,44.0,\"Utils for streaming large files (S3, HDFS, gzip, bz2...).\",640.0,,68.0,30,https://pypi.org/project/smart-open,2020-11-27 06:14:05.000000,640.0,7277315.0,7277315.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n110,mysqlclient,PyMySQL/mysqlclient,mysqlclient,conda-forge/mysqlclient,,db-clients,,https://github.com/PyMySQL/mysqlclient,https://github.com/PyMySQL/mysqlclient,GPL-2.0,2014-04-28 05:09:06.000000,2020-12-11 03:30:10.000000,2020-12-11 03:30:08.000000,305.0,6.0,244.0,1842.0,978.0,2020-12-10 04:03:30.000000,2.0.2,30.0,MySQL database connector for Python (with Python 3 support).,13536.0,,64.0,30,https://pypi.org/project/mysqlclient,2020-12-10 04:03:30.000000,13536.0,1752922.0,1755207.0,https://anaconda.org/conda-forge/mysqlclient,2020-10-13 12:28:49.922000,56800.0,False,2,5161.0,,,,,,,,,,,,,,,,,,,,,,,,\n111,python-magic,ahupp/python-magic,python-magic,conda-forge/python-magic,,data-loading,,https://github.com/ahupp/python-magic,https://github.com/ahupp/python-magic,MIT,2010-03-31 22:40:33.000000,2020-12-24 22:42:00.639000,2020-12-11 19:57:07.000000,212.0,28.0,125.0,1793.0,244.0,2020-05-06 02:30:25.000000,0.4.18,18.0,A python wrapper for libmagic.,16194.0,11062.0,47.0,30,https://pypi.org/project/python-magic,2020-05-06 02:30:25.000000,5132.0,1419372.0,1421031.0,https://anaconda.org/conda-forge/python-magic,2020-12-24 22:42:00.639000,73020.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n112,pandas-datareader,pydata/pandas-datareader,pandas-datareader,conda-forge/pandas-datareader,,data-loading,['pandas'],https://github.com/pydata/pandas-datareader,https://github.com/pydata/pandas-datareader,BSD-3-Clause,2015-01-15 00:34:19.000000,2020-12-23 08:59:15.000000,2020-09-02 15:23:21.000000,489.0,69.0,368.0,1765.0,762.0,2020-07-10 10:04:14.000000,0.9.0,21.0,Extract data from a wide range of Internet sources into a pandas DataFrame.,8601.0,7195.0,76.0,30,https://pypi.org/project/pandas-datareader,2020-07-10 10:04:14.000000,1406.0,108670.0,110560.0,https://anaconda.org/conda-forge/pandas-datareader,2019-11-20 10:38:42.074000,83174.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n113,opencv-python,skvark/opencv-python,opencv-python,,,image,,https://github.com/skvark/opencv-python,https://github.com/skvark/opencv-python,MIT,2016-04-08 13:36:40.000000,2020-12-11 17:47:37.000000,2020-12-11 17:47:36.000000,299.0,19.0,357.0,1650.0,609.0,2020-11-03 19:09:10.000000,46,46.0,\"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..\",12560.0,,27.0,30,https://pypi.org/project/opencv-python,2020-11-02 16:36:07.000000,12560.0,2154921.0,2154921.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n114,Motor,mongodb/motor,motor,conda-forge/motor,,db-clients,,https://github.com/mongodb/motor,https://github.com/mongodb/motor,Apache-2.0,2013-01-11 21:34:44.000000,2020-12-08 14:16:53.000000,2020-09-24 23:47:34.000000,140.0,1.0,,1607.0,1609.0,2020-09-24 23:26:10.000000,2.3.0,34.0,Motor - the async Python driver for MongoDB and Tornado or asyncio.,5168.0,3378.0,28.0,30,https://pypi.org/project/motor,2020-09-24 23:19:56.000000,1790.0,125489.0,125910.0,https://anaconda.org/conda-forge/motor,2020-11-20 20:00:39.143000,10118.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n115,numexpr,pydata/numexpr,numexpr,conda-forge/numexpr,,data-containers,,https://github.com/pydata/numexpr,https://github.com/pydata/numexpr,MIT,2013-11-30 22:33:48.000000,2020-12-06 01:59:55.000000,2020-09-24 01:49:10.000000,161.0,53.0,242.0,1493.0,651.0,2020-01-05 17:55:57.000000,2.7.1,38.0,\"Fast numerical array expression evaluator for Python, NumPy, PyTables, pandas, bcolz and more.\",5482.0,,51.0,30,https://pypi.org/project/numexpr,2020-01-05 17:55:57.000000,5482.0,810928.0,849363.0,https://anaconda.org/conda-forge/numexpr,2020-10-14 10:30:54.500000,1998623.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n116,Rasterio,mapbox/rasterio,rasterio,conda-forge/rasterio,,geospatial-data,,https://github.com/mapbox/rasterio,https://github.com/mapbox/rasterio,BSD-3-Clause,2013-11-04 16:36:27.000000,2020-12-15 00:21:47.000000,2020-12-15 00:21:46.000000,387.0,135.0,1183.0,1391.0,3239.0,2020-10-21 01:56:29.000000,1.1.8,117.0,Rasterio reads and writes geospatial raster datasets.,3387.0,2537.0,109.0,30,https://pypi.org/project/rasterio,2020-12-13 18:35:39.000000,850.0,154766.0,169230.0,https://anaconda.org/conda-forge/rasterio,2020-10-30 14:13:05.008000,823886.0,True,2,702.0,,,,,,,,,,,,,,,,,,,,,,,,\n117,SageMaker SDK,aws/sagemaker-python-sdk,sagemaker,,,ml-experiments,\"['mxnet', 'tensorflow']\",https://github.com/aws/sagemaker-python-sdk,https://github.com/aws/sagemaker-python-sdk,Apache-2.0,2017-11-14 01:03:33.000000,2020-12-27 17:02:21.000000,2020-12-24 23:00:24.000000,548.0,198.0,515.0,1280.0,1780.0,2020-12-23 21:47:22.000000,2.23.0,296.0,A library for training and deploying machine learning models on Amazon SageMaker.,566.0,538.0,162.0,30,https://pypi.org/project/sagemaker,2020-12-23 21:47:22.000000,28.0,428675.0,428675.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n118,TF Addons,tensorflow/addons,tensorflow-addons,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17.000000,2020-12-27 06:11:23.000000,2020-12-23 20:04:03.000000,390.0,157.0,604.0,1132.0,1306.0,2020-12-23 19:42:08.000000,0.12.0,24.0,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,1851.0,1833.0,144.0,30,https://pypi.org/project/tensorflow-addons,2020-12-23 19:42:08.000000,18.0,263730.0,263730.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n119,Wand,emcconville/wand,wand,,,image,,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000000,2020-12-08 02:05:17.000000,2020-12-08 02:05:10.000000,183.0,13.0,319.0,1040.0,1678.0,2020-11-29 20:47:13.000000,0.6.5,47.0,The ctypes-based simple ImageMagick binding for Python.,4125.0,2955.0,94.0,30,https://pypi.org/project/wand,2020-11-29 20:40:49.000000,1170.0,127267.0,127474.0,,,,True,2,5199.0,,,,,,,,,,,,,,,,,,,,,,,,\n120,Fiona,Toblerity/Fiona,fiona,conda-forge/fiona,,geospatial-data,,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00.000000,2020-12-02 19:46:20.000000,2020-11-30 07:11:40.000000,165.0,69.0,546.0,764.0,1093.0,2020-11-17 18:32:17.000000,1.8.18,96.0,Fiona reads and writes geographic data files.,5876.0,4688.0,65.0,30,https://pypi.org/project/fiona,2020-11-17 18:32:17.000000,1188.0,480340.0,508587.0,https://anaconda.org/conda-forge/fiona,2020-11-17 20:48:12.542000,1610079.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n121,Nilearn,nilearn/nilearn,nilearn,conda-forge/nilearn,,medical-data,['sklearn'],https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000000,2020-12-23 20:17:25.000000,2020-12-23 08:21:44.000000,371.0,378.0,1044.0,688.0,9276.0,2020-11-12 11:44:49.000000,0.7.0,35.0,Machine learning for NeuroImaging in Python.,1133.0,831.0,158.0,30,https://pypi.org/project/nilearn,2020-11-12 11:44:49.000000,302.0,11148.0,12498.0,https://anaconda.org/conda-forge/nilearn,2020-11-12 13:26:03.600000,74294.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n122,You-Get,soimort/you-get,you-get,,,web-scraping,,https://github.com/soimort/you-get,https://github.com/soimort/you-get,MIT,2012-08-20 15:53:36.000000,2020-12-27 16:26:19.000000,2020-12-27 16:22:25.000000,7865.0,349.0,,38299.0,2352.0,2020-12-26 18:24:57.000000,0.4.1500,159.0,Dumb downloader that scrapes the web.,18.0,,223.0,29,https://pypi.org/project/you-get,2020-12-26 18:22:17.000000,18.0,23564.0,27475.0,,,,True,2,328525.0,,you-get,,,,,,,,,,,,,,,,,,,,,,\n123,Face Recognition,ageitgey/face_recognition,face_recognition,,,image,['pytorch'],https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39.000000,2020-12-19 11:44:26.000000,2020-09-26 15:32:59.000000,10479.0,552.0,526.0,37862.0,211.0,2018-08-21 18:34:21.000000,1.2.3,21.0,The world's simplest facial recognition api for Python and the command line.,406.0,,45.0,29,https://pypi.org/project/face_recognition,2018-08-21 18:34:21.000000,406.0,31552.0,31561.0,,,,True,2,434.0,,,,,,,,,,,,,,,,,,,,,,,,\n124,Magenta,magenta/magenta,magenta,,,audio,['tensorflow'],https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40.000000,2020-12-03 14:10:02.000000,2020-12-01 17:12:29.000000,3283.0,286.0,533.0,16109.0,1370.0,2020-11-12 19:17:18.000000,2.1.3,66.0,Magenta: Music and Art Generation with Machine Intelligence.,287.0,252.0,142.0,29,https://pypi.org/project/magenta,2020-11-12 19:17:18.000000,35.0,5000.0,5000.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n125,Requests-HTML,psf/requests-html,requests-html,,,web-scraping,,https://github.com/psf/requests-html,https://github.com/psf/requests-html,MIT,2018-02-24 20:11:02.000000,2020-12-05 04:48:45.000000,2020-05-10 19:40:04.000000,766.0,131.0,188.0,11359.0,449.0,2019-02-18 21:38:41.000000,0.10.0,36.0,Pythonic HTML Parsing for Humans.,3824.0,3460.0,62.0,29,https://pypi.org/project/requests-html,2019-02-17 20:14:17.000000,364.0,286000.0,286000.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n126,newspaper3k,codelucas/newspaper,newspaper3k,conda-forge/newspaper3k,,web-scraping,,https://github.com/codelucas/newspaper,https://github.com/codelucas/newspaper,MIT,2013-11-25 09:50:50.000000,2020-12-24 21:15:01.000000,2020-09-02 06:54:25.000000,1681.0,413.0,242.0,10532.0,651.0,2018-09-28 04:58:18.000000,0.2.8,18.0,\"News, full-text, and article metadata extraction in Python 3. Advanced docs:.\",2582.0,2138.0,103.0,29,https://pypi.org/project/newspaper3k,2018-09-28 04:58:18.000000,444.0,26194.0,27138.0,https://anaconda.org/conda-forge/newspaper3k,2020-10-14 01:55:00.844000,34941.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n127,Turi Create,apple/turicreate,turicreate,,,ml-frameworks,,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04.000000,2020-11-18 17:14:31.000000,2020-10-13 23:52:18.000000,1057.0,465.0,1240.0,10059.0,1565.0,2020-09-30 22:51:40.000000,6.4.1,31.0,Turi Create simplifies the development of custom machine learning models.,252.0,218.0,81.0,29,https://pypi.org/project/turicreate,2020-09-30 22:51:40.000000,34.0,13073.0,13168.0,,,,True,3,3444.0,,,,,,,,,,,,,,,,,,,,,,,,\n128,AllenNLP,allenai/allennlp,allennlp,,,nlp,['pytorch'],https://github.com/allenai/allennlp,https://github.com/allenai/allennlp,Apache-2.0,2017-05-15 15:52:41.000000,2020-12-24 00:38:31.000000,2020-12-23 18:51:13.000000,1979.0,106.0,2115.0,9519.0,,2020-12-15 22:10:16.000000,1.3.0,154.0,\"An open-source NLP research library, built on PyTorch.\",1574.0,1340.0,231.0,29,https://pypi.org/project/allennlp,2020-11-17 18:37:28.000000,234.0,22755.0,22755.0,,,,True,2,36.0,,,,,,,,,,,,,,,,,,,,,,,,\n129,Lime,marcotcr/lime,lime,conda-forge/lime,,interpretability,,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10.000000,2020-12-18 17:16:38.000000,2020-12-18 17:16:31.000000,1338.0,46.0,434.0,8265.0,504.0,2020-04-03 22:05:03.000000,0.2.0.0,37.0,Lime: Explaining the predictions of any machine learning classifier.,1086.0,958.0,56.0,29,https://pypi.org/project/lime,2020-04-03 22:04:32.000000,128.0,172312.0,173584.0,https://anaconda.org/conda-forge/lime,2020-06-28 01:02:41.538000,61057.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n130,Annoy,spotify/annoy,annoy,,,nn-search,,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40.000000,2020-12-25 08:13:07.000000,2020-12-03 18:21:18.000000,854.0,25.0,265.0,7961.0,785.0,2020-09-18 16:07:59.000000,1.17.0,43.0,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,1737.0,1377.0,68.0,29,https://pypi.org/project/annoy,2020-09-18 16:07:59.000000,360.0,211686.0,211686.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n131,Pattern,clips/pattern,pattern,conda-forge/pattern,,web-scraping,,https://github.com/clips/pattern,https://github.com/clips/pattern,BSD-3-Clause,2011-05-03 15:29:01.000000,2020-12-03 13:45:30.000000,2020-04-25 12:40:40.000000,1499.0,159.0,75.0,7732.0,1434.0,,,2.0,\"Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis..\",1285.0,1019.0,30.0,29,https://pypi.org/project/pattern,2018-08-18 15:11:17.000000,266.0,65795.0,66185.0,https://anaconda.org/conda-forge/pattern,2020-05-05 12:38:53.775000,5462.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n132,fuzzywuzzy,seatgeek/fuzzywuzzy,fuzzywuzzy,conda-forge/fuzzywuzzy,,nlp,,https://github.com/seatgeek/fuzzywuzzy,https://github.com/seatgeek/fuzzywuzzy,GPL-2.0,2011-07-08 19:32:34.000000,2020-12-19 18:34:54.000000,2020-02-13 22:13:43.000000,792.0,84.0,95.0,7701.0,379.0,2020-02-13 22:14:12.000000,0.18.0,27.0,Fuzzy String Matching in Python.,10669.0,7463.0,67.0,29,https://pypi.org/project/fuzzywuzzy,2020-02-13 21:06:25.000000,3206.0,2299900.0,2305055.0,https://anaconda.org/conda-forge/fuzzywuzzy,2020-11-18 12:59:01.409000,273244.0,False,2,,,,,,,,,,,,,,,,,,,,,,,,,\n133,TextBlob,sloria/TextBlob,textblob,conda-forge/textblob,,nlp,,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18.000000,2020-12-25 13:19:46.000000,2020-12-25 13:18:24.000000,947.0,69.0,150.0,7463.0,535.0,2019-02-24 23:03:17.000000,0.15.3,55.0,\"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..\",12018.0,9526.0,33.0,29,https://pypi.org/project/textblob,2019-02-24 23:03:17.000000,2492.0,269070.0,271140.0,https://anaconda.org/conda-forge/textblob,2019-02-24 23:32:55.233000,107596.0,True,2,88.0,,,,,,,,,,,,,,,,,,,,,,,,\n134,MoviePy,Zulko/moviepy,moviepy,conda-forge/moviepy,,image,,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000000,2020-12-22 11:53:27.000000,2020-11-25 17:36:42.000000,1021.0,337.0,629.0,7167.0,938.0,2020-05-07 16:29:35.000000,1.0.3,84.0,Video editing with Python.,6603.0,5473.0,132.0,29,https://pypi.org/project/moviepy,2020-10-05 00:26:29.000000,1130.0,137377.0,139099.0,https://anaconda.org/conda-forge/moviepy,2020-02-23 19:57:49.975000,70625.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n135,glfw,glfw/glfw,glfw,conda-forge/glfw,,image,,https://github.com/glfw/glfw,https://github.com/glfw/glfw,Zlib,2013-04-18 15:24:53.000000,2020-12-14 22:06:32.000000,2020-12-14 11:27:57.000000,2544.0,414.0,985.0,7057.0,4200.0,2020-10-04 13:37:52.000000,2.0.0,37.0,\"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.\",214.0,,164.0,29,https://pypi.org/project/glfw,2020-10-04 13:37:52.000000,214.0,15269.0,47320.0,https://anaconda.org/conda-forge/glfw,2020-03-20 11:09:31.058000,20861.0,False,2,2146152.0,,,,,,,,,,,,,,,,,,,,,,,,\n136,Albumentations,albumentations-team/albumentations,albumentations,conda-forge/albumentations,,image,['pytorch'],https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000000,2020-12-26 06:23:48.000000,2020-12-26 06:23:46.000000,879.0,148.0,229.0,6910.0,613.0,2020-11-29 14:30:07.000000,0.5.2,44.0,Fast image augmentation library and easy to use wrapper around other libraries. Documentation:..,2425.0,2361.0,71.0,29,https://pypi.org/project/albumentations,2020-11-29 14:30:07.000000,64.0,60957.0,61704.0,https://anaconda.org/conda-forge/albumentations,2020-11-29 15:51:47.610000,13454.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n137,tensorboardX,lanpa/tensorboardX,tensorboardX,conda-forge/tensorboardx,,ml-experiments,,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19.000000,2020-10-14 17:46:25.000000,2020-07-05 17:29:00.000000,769.0,72.0,341.0,6720.0,460.0,2020-07-05 17:54:10.000000,2.0,12.0,\"tensorboard for pytorch (and chainer, mxnet, numpy, ...).\",10797.0,9463.0,64.0,29,https://pypi.org/project/tensorboardX,2019-12-31 14:04:21.000000,1334.0,285942.0,293047.0,https://anaconda.org/conda-forge/tensorboardx,2020-07-06 20:33:55.729000,248462.0,True,2,287.0,,,,,,,,,,,,,,,,,,,,,,,,\n138,pandas-profiling,pandas-profiling/pandas-profiling,pandas-profiling,conda-forge/pandas-profiling,,data-viz,\"['jupyter', 'pandas']\",https://github.com/pandas-profiling/pandas-profiling,https://github.com/pandas-profiling/pandas-profiling,MIT,2016-01-09 23:47:55.000000,2020-12-27 20:07:35.000000,2020-12-27 20:07:34.000000,966.0,48.0,352.0,6498.0,726.0,2020-09-03 10:11:24.000000,2.9.0,24.0,Create HTML profiling reports from pandas DataFrame objects.,2894.0,2734.0,62.0,29,https://pypi.org/project/pandas-profiling,2020-09-03 10:11:24.000000,160.0,237694.0,239495.0,https://anaconda.org/conda-forge/pandas-profiling,2020-09-03 13:03:52.072000,93696.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n139,Datasets,huggingface/datasets,datasets,,,web-scraping,,https://github.com/huggingface/datasets,https://github.com/huggingface/datasets,Apache-2.0,2020-03-26 09:23:22.000000,2020-12-26 19:25:42.000000,2020-12-23 17:25:58.000000,609.0,262.0,291.0,5931.0,1161.0,2020-11-19 18:33:56.000000,1.1.3,11.0,\"The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools.\",238.0,220.0,191.0,29,https://pypi.org/project/datasets,2020-11-19 18:07:51.000000,18.0,22651.0,22651.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n140,Pydub,jiaaro/pydub,pydub,conda-forge/pydub,,audio,,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38.000000,2020-12-14 17:09:25.000000,2020-12-14 17:09:24.000000,670.0,164.0,232.0,5001.0,722.0,2020-06-03 15:23:56.000000,0.24.1,66.0,Manipulate audio with a simple and easy high level interface.,6759.0,5405.0,79.0,29,https://pypi.org/project/pydub,2020-06-03 15:23:56.000000,1354.0,128735.0,129228.0,https://anaconda.org/conda-forge/pydub,2019-02-02 16:23:09.348000,11835.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n141,UMAP,lmcinnes/umap,umap-learn,,,data-viz,,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17.000000,2020-12-23 03:48:10.000000,2020-12-16 18:17:21.000000,466.0,201.0,207.0,4350.0,1270.0,2020-07-02 15:56:06.000000,0.4.6,33.0,Uniform Manifold Approximation and Projection.,226.0,,67.0,29,https://pypi.org/project/umap-learn,2020-11-26 16:29:14.000000,226.0,120448.0,120448.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n142,TinyDB,msiemens/tinydb,tinydb,conda-forge/tinydb,,data-containers,,https://github.com/msiemens/tinydb,https://github.com/msiemens/tinydb,MIT,2013-07-12 23:31:13.000000,2020-12-05 15:21:25.000000,2020-12-05 15:21:21.000000,353.0,14.0,229.0,3909.0,593.0,2020-11-14 21:02:31.000000,4.3.0,58.0,TinyDB is a lightweight document oriented database optimized for your happiness :).,1118.0,,61.0,29,https://pypi.org/project/tinydb,2020-11-14 21:02:29.000000,1118.0,131713.0,133498.0,https://anaconda.org/conda-forge/tinydb,2020-11-14 22:52:17.151000,96427.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n143,kaggle,Kaggle/kaggle-api,kaggle,conda-forge/kaggle,,ml-experiments,,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000000,2020-12-03 05:16:08.000000,2020-11-30 21:43:14.000000,759.0,161.0,106.0,3734.0,137.0,2020-11-30 13:37:18.000000,1.5.10,47.0,Official Kaggle API.,4683.0,4119.0,35.0,29,https://pypi.org/project/kaggle,2020-11-30 13:37:18.000000,564.0,241654.0,243698.0,https://anaconda.org/conda-forge/kaggle,2020-11-30 16:56:31.822000,38847.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n144,yfinance,ranaroussi/yfinance,yfinance,ranaroussi/yfinance,,financial-data,,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000000,2020-12-18 13:14:52.000000,2020-09-25 12:47:40.000000,945.0,289.0,167.0,3719.0,243.0,2020-10-05 12:19:44.000000,0.1.55,20.0,Yahoo! Finance market data downloader (+faster Pandas Datareader).,2411.0,2385.0,25.0,29,https://pypi.org/project/yfinance,2020-10-05 12:19:44.000000,26.0,106146.0,107904.0,https://anaconda.org/ranaroussi/yfinance,2019-12-27 21:30:44.606000,28138.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n145,Tesseract,madmaze/pytesseract,pytesseract,conda-forge/pytesseract,,ocr,,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000000,2020-12-22 12:18:21.000000,2020-12-22 12:18:21.000000,503.0,7.0,237.0,3331.0,353.0,2020-12-15 05:24:52.000000,0.3.7,24.0,Python-tesseract is an optical character recognition (OCR) tool for python.,1428.0,,35.0,29,https://pypi.org/project/pytesseract,2020-12-15 05:24:52.000000,1428.0,332541.0,334708.0,https://anaconda.org/conda-forge/pytesseract,2020-11-20 10:05:14.874000,36846.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n146,sacred,IDSIA/sacred,sacred,,,ml-experiments,,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29.000000,2020-12-17 22:23:01.000000,2020-12-15 10:47:54.000000,314.0,92.0,391.0,3236.0,1297.0,2020-12-14 15:21:05.000000,0.8.2,27.0,\"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.\",907.0,753.0,90.0,29,https://pypi.org/project/sacred,2020-12-14 15:21:05.000000,154.0,13228.0,13228.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n147,Koalas,databricks/koalas,koalas,conda-forge/koalas,,data-containers,\"['spark', 'pandas']\",https://github.com/databricks/koalas,https://github.com/databricks/koalas,Apache-2.0,2019-01-03 21:46:54.000000,2020-12-26 07:33:39.000000,2020-12-26 07:33:38.000000,292.0,84.0,420.0,2544.0,1420.0,2020-12-11 21:10:40.000000,1.5.0,42.0,Koalas: pandas API on Apache Spark.,68.0,67.0,47.0,29,https://pypi.org/project/koalas,2020-12-11 21:10:40.000000,1.0,876114.0,880028.0,https://anaconda.org/conda-forge/koalas,2020-12-11 23:19:38.184000,73481.0,True,2,996.0,,,,,,,,,,,,,,,,,,,,,,,,\n148,PyQtGraph,pyqtgraph/pyqtgraph,pyqtgraph,conda-forge/pyqtgraph,,data-viz,,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21.000000,2020-12-26 03:39:56.000000,2020-12-25 05:45:02.000000,793.0,284.0,429.0,2247.0,2306.0,2020-12-20 02:41:29.000000,pyqtgraph-0.11.1,12.0,Fast data visualization and GUI tools for scientific / engineering applications.,890.0,,177.0,29,https://pypi.org/project/pyqtgraph,2020-12-20 02:43:22.000000,890.0,33133.0,36448.0,https://anaconda.org/conda-forge/pyqtgraph,2020-12-20 05:06:42.442000,155850.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n149,Keras Tuner,keras-team/keras-tuner,keras-tuner,,,hyperopt,['tensorflow'],https://github.com/keras-team/keras-tuner,https://github.com/keras-team/keras-tuner,Apache-2.0,2019-06-06 22:38:21.000000,2020-12-23 19:28:06.000000,2020-12-09 20:19:05.000000,253.0,145.0,132.0,2186.0,787.0,2020-11-20 19:13:23.000000,1.0.2,5.0,Hyperparameter tuning for humans.,333.0,331.0,28.0,29,https://pypi.org/project/keras-tuner,2020-11-20 19:00:59.000000,2.0,789153.0,789153.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n150,ipyparallel,ipython/ipyparallel,ipyparallel,conda-forge/ipyparallel,,distributed-ml,['jupyter'],https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,BSD-3-Clause,2015-04-09 07:43:55.000000,2020-12-14 23:13:00.768000,2020-08-24 09:09:27.000000,723.0,139.0,107.0,1839.0,1817.0,2020-05-05 18:42:38.000000,6.3.0,21.0,Interactive Parallel Computing in Python.,1830.0,1340.0,94.0,29,https://pypi.org/project/ipyparallel,2020-05-05 18:42:38.000000,490.0,61881.0,68276.0,https://anaconda.org/conda-forge/ipyparallel,2020-12-14 23:13:00.768000,358127.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n151,HoloViews,holoviz/holoviews,holoviews,conda-forge/holoviews,,data-viz,['jupyter'],https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000000,2020-12-27 23:53:28.000000,2020-12-27 23:39:52.000000,298.0,672.0,1814.0,1766.0,10109.0,2020-12-03 18:36:32.000000,1.14.0,60.0,\"With Holoviews, your data visualizes itself.\",170.0,,99.0,29,https://pypi.org/project/holoviews,2020-12-27 23:53:28.000000,170.0,108875.0,122618.0,https://anaconda.org/conda-forge/holoviews,2020-12-03 17:45:44.993000,390533.0,True,2,,,,,,,,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,2020-05-24 13:49:54.205000,,6643.0,,,,,,,,,,,,\n152,Lifelines,CamDavidsonPilon/lifelines,lifelines,conda-forge/lifelines,,medical-data,,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42.000000,2020-12-11 17:32:01.000000,2020-12-09 21:13:02.000000,403.0,183.0,584.0,1516.0,2069.0,2020-12-09 21:14:01.000000,0.25.7,152.0,Survival analysis in Python.,592.0,466.0,88.0,29,https://pypi.org/project/lifelines,2020-12-09 21:14:01.000000,126.0,106407.0,108621.0,https://anaconda.org/conda-forge/lifelines,2020-12-10 02:47:14.864000,119592.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n153,Geocoder,DenisCarriere/geocoder,geocoder,conda-forge/geocoder,,geospatial-data,,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21.000000,2020-12-14 18:58:25.000000,2018-10-12 15:53:05.000000,249.0,64.0,215.0,1315.0,1251.0,2018-04-04 12:34:51.000000,1.38.1,108.0,Python Geocoder.,3465.0,2889.0,74.0,29,https://pypi.org/project/geocoder,2018-04-04 12:34:51.000000,576.0,226964.0,228832.0,https://anaconda.org/conda-forge/geocoder,2019-06-27 16:40:50.469000,85929.0,False,2,,,,,,,,,,,,,,,,,geocoder,,,,,,,,\n154,torchaudio,pytorch/audio,torchaudio,,,audio,['pytorch'],https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000000,2020-12-28 00:17:04.000000,2020-12-27 17:45:04.000000,261.0,152.0,232.0,1177.0,630.0,2020-12-10 17:02:20.000000,0.7.2,11.0,\"Data manipulation and transformation for audio signal processing, powered by PyTorch.\",978.0,969.0,84.0,29,https://pypi.org/project/torchaudio,2020-10-27 16:14:57.000000,9.0,62444.0,62444.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n155,PyTables,PyTables/PyTables,tables,conda-forge/pytables,,data-containers,,https://github.com/PyTables/PyTables,https://github.com/PyTables/PyTables,BSD-2-Clause,2011-06-03 19:44:46.000000,2020-12-23 13:06:35.000000,2020-12-22 06:58:22.000000,180.0,154.0,438.0,997.0,3856.0,2019-10-30 19:33:37.000000,3.6.1,25.0,A Python package to manage extremely large amounts of data.,3754.0,,96.0,29,https://pypi.org/project/tables,2019-10-30 19:33:37.000000,3754.0,523357.0,563399.0,https://anaconda.org/conda-forge/pytables,2020-10-21 22:20:27.234000,2082109.0,True,2,125.0,,,,,,,,,,,,,,,,,,,,,,,,\n156,py2neo,technige/py2neo,py2neo,conda-forge/py2neo,,db-clients,,https://github.com/technige/py2neo,https://github.com/technige/py2neo,Apache-2.0,2011-07-03 10:01:07.000000,2020-12-23 10:35:38.000000,2020-12-21 21:32:51.000000,196.0,25.0,689.0,955.0,2735.0,2020-11-21 09:50:58.000000,2020.1.1,102.0,Py2neo is a comprehensive toolkit for working with Neo4j from within Python applications or from the command line.,1114.0,,31.0,29,https://pypi.org/project/py2neo,2020-11-21 09:51:22.000000,1114.0,74538.0,75288.0,https://anaconda.org/conda-forge/py2neo,2019-03-17 09:26:49.366000,31515.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n157,Graphviz,xflr6/graphviz,graphviz,,,data-viz,,https://github.com/xflr6/graphviz,https://github.com/xflr6/graphviz,MIT,2014-01-12 17:49:29.000000,2020-12-25 12:50:52.000000,2020-12-25 12:50:44.000000,137.0,5.0,94.0,885.0,443.0,2020-10-07 09:06:41.000000,0.14.2,47.0,Simple Python interface for Graphviz.,20692.0,16310.0,15.0,29,https://pypi.org/project/graphviz,2020-12-24 16:17:24.000000,4382.0,2332537.0,2332537.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n158,TensorFlow Transform,tensorflow/transform,tensorflow-transform,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53.000000,2020-12-16 21:35:23.000000,2020-12-16 21:11:41.000000,161.0,32.0,113.0,843.0,557.0,2020-12-16 21:35:23.000000,0.26.0,33.0,Input pipeline framework.,462.0,378.0,27.0,29,https://pypi.org/project/tensorflow-transform,2020-12-16 21:35:23.000000,84.0,6312128.0,6312128.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n159,snakemake,snakemake/snakemake,snakemake,bioconda/snakemake,,ml-experiments,,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867000,2020-12-27 22:46:29.000000,2020-12-21 21:28:10.000000,178.0,305.0,201.0,783.0,3938.0,2020-12-21 22:01:57.000000,5.31.1,158.0,\"This is the development home of the workflow management system Snakemake. For general information, see.\",1000.0,712.0,193.0,29,https://pypi.org/project/snakemake,2020-12-21 22:02:41.000000,288.0,9785.0,14043.0,https://anaconda.org/bioconda/snakemake,2020-12-22 11:10:44.475000,264043.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n160,NIPYPE,nipy/nipype,nipype,conda-forge/nipype,,medical-data,,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000000,2020-12-20 20:52:16.000000,2020-12-08 17:16:40.000000,439.0,312.0,871.0,538.0,14049.0,2020-09-17 18:44:32.000000,1.5.1,54.0,Workflows and interfaces for neuroimaging packages.,662.0,470.0,212.0,29,https://pypi.org/project/nipype,2020-08-16 18:30:16.000000,192.0,12988.0,19482.0,https://anaconda.org/conda-forge/nipype,2020-11-28 17:44:51.813000,344230.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n161,NiBabel,nipy/nibabel,nibabel,conda-forge/nibabel,,medical-data,,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30.000000,2020-12-21 21:15:21.000000,2020-12-16 00:08:18.000000,209.0,109.0,280.0,378.0,4933.0,2020-11-28 22:19:50.000000,3.2.1,32.0,Python package to access a cacophony of neuro-imaging file formats.,4639.0,3375.0,89.0,29,https://pypi.org/project/nibabel,2020-11-28 22:18:23.000000,1264.0,47547.0,52740.0,https://anaconda.org/conda-forge/nibabel,2020-11-29 03:40:05.178000,285663.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n162,pandas-gbq,pydata/pandas-gbq,pandas-gbq,conda-forge/pandas-gbq,,db-clients,['pandas'],https://github.com/pydata/pandas-gbq,https://github.com/pydata/pandas-gbq,BSD-3-Clause,2017-02-08 13:07:19.000000,2020-12-22 15:29:13.000000,2020-12-17 21:26:00.000000,83.0,32.0,154.0,231.0,217.0,2020-11-10 17:16:31.000000,0.14.1,26.0,Pandas Google BigQuery.,2114.0,1682.0,29.0,29,https://pypi.org/project/pandas-gbq,2020-11-10 17:13:26.000000,432.0,6519389.0,6533119.0,https://anaconda.org/conda-forge/pandas-gbq,2020-11-11 15:55:18.257000,617634.0,True,3,188.0,,,,,,,,,,,,,,,,,,,,,,,,\n163,soupsieve,facelessuser/soupsieve,soupsieve,conda-forge/soupsieve,,web-scraping,,https://github.com/facelessuser/soupsieve,https://github.com/facelessuser/soupsieve,MIT,2018-12-07 07:42:56.000000,2020-12-14 18:10:01.000000,2020-12-14 18:08:31.000000,18.0,12.0,77.0,84.0,268.0,2020-12-10 23:42:29.000000,2.1.0,36.0,A modern CSS selector implementation for BeautifulSoup.,95514.0,91270.0,8.0,29,https://pypi.org/project/soupsieve,2020-12-10 23:43:13.000000,4244.0,8428234.0,8515111.0,https://anaconda.org/conda-forge/soupsieve,2020-08-17 16:10:44.009000,1998185.0,False,2,,,,,,,,,,,,,,,,,,,,,,,,,\n164,spleeter,deezer/spleeter,spleeter,conda-forge/spleeter,,audio,['tensorflow'],https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000000,2020-12-18 16:31:25.000000,2020-12-07 12:44:51.000000,1530.0,86.0,390.0,15114.0,358.0,2020-10-23 12:15:02.000000,2.0.1,26.0,Deezer source separation library including pretrained models.,120.0,120.0,17.0,28,https://pypi.org/project/spleeter,2020-10-23 12:15:02.000000,,5324.0,70714.0,https://anaconda.org/conda-forge/spleeter,2020-06-30 14:33:43.220000,40071.0,True,2,872315.0,,,,,,,,,,,,,,,,,,,,,,,,\n165,pyspider,binux/pyspider,pyspider,,,web-scraping,,https://github.com/binux/pyspider,https://github.com/binux/pyspider,Apache-2.0,2014-02-21 19:18:47.000000,2020-10-22 04:00:13.000000,2020-08-02 17:34:20.000000,3558.0,276.0,543.0,14782.0,1181.0,2018-04-18 04:25:22.000000,0.3.10,17.0,A Powerful Spider(Web Crawler) System in Python.,313.0,283.0,62.0,28,https://pypi.org/project/pyspider,2018-04-18 04:17:18.000000,30.0,1745.0,1745.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n166,Faiss,facebookresearch/faiss,pymilvus,conda-forge/faiss,,nn-search,,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000000,2020-12-27 19:59:30.000000,2020-12-25 13:57:25.000000,2052.0,98.0,1210.0,11970.0,414.0,2020-12-21 05:24:03.000000,1.6.5,42.0,A library for efficient similarity search and clustering of dense vectors.,296.0,290.0,71.0,28,https://pypi.org/project/pymilvus,2020-10-16 13:11:09.000000,6.0,5330.0,8046.0,https://anaconda.org/conda-forge/faiss,2020-12-12 16:36:49.740000,19016.0,True,1,,,,,,,,,,,,,,,,,,-1.0,,,,,,,\n167,PyTorch Geometric,rusty1s/pytorch_geometric,torch-geometric,,,graph,['pytorch'],https://github.com/rusty1s/pytorch_geometric,https://github.com/rusty1s/pytorch_geometric,MIT,2017-10-06 16:03:03.000000,2020-12-25 10:16:21.000000,2020-12-25 10:16:17.000000,1645.0,631.0,1050.0,9791.0,4040.0,2020-12-02 14:57:09.000000,1.6.3,25.0,Geometric Deep Learning Extension Library for PyTorch.,24.0,,136.0,28,https://pypi.org/project/torch-geometric,2020-11-27 07:18:41.000000,24.0,12019.0,12019.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n168,Sonnet,deepmind/sonnet,dm-sonnet,conda-forge/sonnet,,ml-frameworks,['tensorflow'],https://github.com/deepmind/sonnet,https://github.com/deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35.000000,2020-11-30 02:35:15.000000,2020-10-08 10:01:11.000000,1242.0,15.0,135.0,8677.0,545.0,2020-03-27 10:36:19.000000,2.0.0,27.0,TensorFlow-based neural network library.,547.0,465.0,48.0,28,https://pypi.org/project/dm-sonnet,2020-03-27 10:36:10.000000,82.0,37498.0,38017.0,https://anaconda.org/conda-forge/sonnet,2020-11-14 18:13:23.843000,6749.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n169,TPOT,EpistasisLab/tpot,tpot,conda-forge/tpot,,hyperopt,['sklearn'],https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40.000000,2020-12-27 17:48:57.000000,2020-12-14 15:04:13.000000,1347.0,185.0,574.0,7713.0,2341.0,2020-12-14 15:07:26.000000,0.11.6.post3,59.0,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,841.0,761.0,107.0,28,https://pypi.org/project/tpot,2020-12-14 15:07:56.000000,80.0,71891.0,73844.0,https://anaconda.org/conda-forge/tpot,2020-12-14 22:49:13.925000,99625.0,False,2,,,,,,,,,,,,,,,,,,,,,,,,,\n170,Pyro,pyro-ppl/pyro,pyro-ppl,,,probabilistics,['pytorch'],https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000000,2020-12-26 22:03:36.000000,2020-12-21 05:45:44.000000,777.0,130.0,677.0,6649.0,2138.0,2020-11-17 23:30:42.000000,1.5.1,24.0,Deep universal probabilistic programming with Python and PyTorch.,383.0,347.0,102.0,28,https://pypi.org/project/pyro-ppl,2020-11-17 23:22:46.000000,36.0,10030.0,10030.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n171,Records,kennethreitz42/records,records,conda-forge/records,,db-clients,,https://github.com/kennethreitz42/records,https://github.com/kennethreitz42/records,ISC,2014-12-24 15:20:23.000000,2020-12-22 07:29:21.000000,2020-12-22 07:29:21.000000,531.0,55.0,81.0,6467.0,325.0,2019-02-21 13:34:41.000000,0.5.3,10.0,SQL for Humans.,1003.0,703.0,37.0,28,https://pypi.org/project/records,2019-02-21 13:34:41.000000,300.0,182631.0,183004.0,https://anaconda.org/conda-forge/records,2018-01-15 04:48:02.550000,16432.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n172,tensorpack,tensorpack/tensorpack,tensorpack,,,ml-frameworks,['tensorflow'],https://github.com/tensorpack/tensorpack,https://github.com/tensorpack/tensorpack,Apache-2.0,2015-12-25 23:08:44.000000,2020-12-24 00:24:32.000000,2020-11-01 03:52:10.000000,1720.0,11.0,1293.0,5861.0,2921.0,2020-04-24 19:01:06.000000,0.10.1,36.0,\"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.\",719.0,643.0,55.0,28,https://pypi.org/project/tensorpack,2020-04-24 19:01:06.000000,76.0,49898.0,49900.0,,,,True,3,95.0,,,,,,,,,,,,,,,,,,,,,,,,\n173,Modin,modin-project/modin,modin,,,data-containers,['pandas'],https://github.com/modin-project/modin,https://github.com/modin-project/modin,Apache-2.0,2018-06-21 21:35:05.000000,2020-12-24 17:54:46.000000,2020-12-23 18:29:32.000000,375.0,391.0,1045.0,5551.0,1215.0,2020-12-23 09:46:05.000000,0.8.3,35.0,Modin: Speed up your Pandas workflows by changing a single line of code.,282.0,273.0,64.0,28,https://pypi.org/project/modin,2020-11-10 02:44:02.000000,9.0,50950.0,57676.0,,,,True,2,195075.0,,,,,,,,,,,,,,,,,,,,,,,,\n174,featuretools,alteryx/featuretools,featuretools,conda-forge/featuretools,,hyperopt,,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17.000000,2020-12-26 17:38:06.000000,2020-12-21 14:01:31.000000,680.0,104.0,386.0,5293.0,569.0,2020-11-30 20:46:32.000000,0.22.0,61.0,An open source python library for automated feature engineering.,700.0,630.0,49.0,28,https://pypi.org/project/featuretools,2020-11-30 20:46:32.000000,70.0,65969.0,67730.0,https://anaconda.org/conda-forge/featuretools,2020-11-30 22:07:05.978000,42286.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n175,faust,robinhood/faust,faust,,,data-pipelines,,https://github.com/robinhood/faust,https://github.com/robinhood/faust,BSD-3-Clause,2017-03-08 18:36:11.000000,2020-11-17 10:35:41.000000,2020-10-09 12:59:42.000000,424.0,225.0,219.0,5146.0,4137.0,2020-02-25 22:57:18.000000,1.10.4,46.0,Python Stream Processing.,591.0,563.0,90.0,28,https://pypi.org/project/faust,2020-02-25 22:57:18.000000,28.0,73734.0,73734.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n176,Autograd,HIPS/autograd,autograd,conda-forge/autograd,,others,,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23.000000,2020-04-23 16:45:00.000000,2019-11-18 14:32:40.000000,712.0,161.0,216.0,5069.0,1375.0,2017-08-24 17:00:41.000000,1.1.13,24.0,Efficiently computes derivatives of numpy code.,1686.0,1342.0,51.0,28,https://pypi.org/project/autograd,2019-07-25 16:21:07.000000,344.0,334483.0,337347.0,https://anaconda.org/conda-forge/autograd,2019-07-25 18:29:55.493000,148978.0,False,1,,,,,,,,,,,,,,,,,,,,,,,,,\n177,scikit-surprise,NicolasHug/Surprise,scikit-surprise,conda-forge/scikit-surprise,,recommender-systems,,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38.000000,2020-10-13 01:22:58.850000,2020-08-05 17:45:59.000000,807.0,35.0,285.0,4583.0,622.0,2020-07-19 14:50:48.000000,1.1.1,9.0,A Python scikit for building and analyzing recommender systems.,861.0,837.0,38.0,28,https://pypi.org/project/scikit-surprise,2020-07-19 14:50:48.000000,24.0,40615.0,44898.0,https://anaconda.org/conda-forge/scikit-surprise,2020-10-13 01:22:58.850000,149909.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n178,csvkit,wireservice/csvkit,csvkit,conda-forge/csvkit,,data-loading,,https://github.com/wireservice/csvkit,https://github.com/wireservice/csvkit,MIT,2011-04-01 03:00:30.000000,2020-10-30 01:59:33.000000,2020-10-30 01:59:29.000000,535.0,56.0,743.0,4436.0,1693.0,2020-03-03 03:00:28.000000,1.0.5,33.0,\"A suite of utilities for converting to and working with CSV, the king of tabular file formats.\",1496.0,794.0,91.0,28,https://pypi.org/project/csvkit,2020-03-03 03:00:28.000000,702.0,26334.0,27326.0,https://anaconda.org/conda-forge/csvkit,2019-05-28 12:30:50.171000,44649.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n179,snorkel,snorkel-team/snorkel,snorkel,conda-forge/snorkel,,data-loading,,https://github.com/snorkel-team/snorkel,https://github.com/snorkel-team/snorkel,Apache-2.0,2016-02-26 05:52:45.000000,2020-10-02 14:30:46.000000,2020-09-05 21:24:32.000000,705.0,29.0,910.0,4364.0,2646.0,2020-08-09 03:07:36.000000,0.9.6,17.0,A system for quickly generating training data with weak supervision.,65.0,61.0,62.0,28,https://pypi.org/project/snorkel,2020-04-07 01:35:21.000000,4.0,72343.0,73227.0,https://anaconda.org/conda-forge/snorkel,2020-04-10 13:08:54.445000,14867.0,True,3,479.0,,,,,,,,,,,,,,,,,,,,,,,,\n180,librosa,librosa/librosa,librosa,conda-forge/librosa,,audio,,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000000,2020-10-19 21:24:48.000000,2020-09-11 13:58:44.000000,666.0,53.0,778.0,4170.0,,2020-07-22 01:34:55.000000,0.8.0,28.0,Python library for audio and music analysis.,10341.0,8591.0,80.0,28,https://pypi.org/project/librosa,2020-07-22 01:34:55.000000,1750.0,270042.0,274520.0,https://anaconda.org/conda-forge/librosa,2020-07-22 10:27:18.402000,237367.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n181,Tokenizers,huggingface/tokenizers,tokenizers,conda-forge/tokenizers,,nlp,,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000000,2020-12-25 16:23:04.000000,2020-12-15 16:50:40.000000,300.0,80.0,259.0,4110.0,1414.0,2020-11-10 04:37:50.000000,0.9.4,57.0,Fast State-of-the-Art Tokenizers optimized for Research and Production.,20.0,20.0,39.0,28,https://pypi.org/project/tokenizers,2020-12-08 18:59:15.000000,0.0,879539.0,882575.0,https://anaconda.org/conda-forge/tokenizers,2020-11-19 06:02:47.112000,15183.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n182,DEAP,deap/deap,deap,conda-forge/deap,,distributed-ml,,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39.000000,2020-12-25 17:33:19.000000,2020-12-25 17:33:18.000000,828.0,166.0,218.0,4015.0,2147.0,2020-01-21 01:18:06.000000,1.3.1,16.0,Distributed Evolutionary Algorithms in Python.,1979.0,1497.0,67.0,28,https://pypi.org/project/deap,2020-01-21 01:18:06.000000,482.0,122455.0,124416.0,https://anaconda.org/conda-forge/deap,2020-10-12 23:58:35.330000,105931.0,False,2,,,,,,,,,,,,,,,,,,,,,,,,,\n183,dataset,pudo/dataset,dataset,,,db-clients,,https://github.com/pudo/dataset,https://github.com/pudo/dataset,MIT,2013-04-01 14:57:55.000000,2020-12-16 15:25:48.000000,2020-11-14 22:02:17.000000,256.0,12.0,232.0,3953.0,655.0,2020-11-14 22:04:37.000000,1.4.1,46.0,\"Easy-to-use data handling for SQL data stores with support for implicit table creation, bulk loading, and transactions.\",2764.0,1736.0,71.0,28,https://pypi.org/project/dataset,2020-11-14 22:04:37.000000,1028.0,41719.0,41719.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n184,PyOD,yzhao062/pyod,pyod,,,others,,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04.000000,2020-12-23 15:20:44.000000,2020-12-23 15:20:10.000000,812.0,100.0,79.0,3949.0,1236.0,2020-12-23 02:28:48.000000,0.8.5,63.0,A Python Toolbox for Scalable Outlier Detection (Anomaly Detection).,440.0,434.0,20.0,28,https://pypi.org/project/pyod,2020-12-23 02:28:48.000000,6.0,93418.0,93418.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n185,Kornia,kornia/kornia,kornia,,,image,['pytorch'],https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000000,2020-12-25 16:12:26.000000,2020-12-22 23:16:53.000000,345.0,103.0,239.0,3447.0,1466.0,2020-10-20 19:31:49.000000,0.4.1,12.0,Open Source Differentiable Computer Vision Library for PyTorch.,215.0,215.0,78.0,28,https://pypi.org/project/kornia,2020-10-20 19:31:49.000000,0.0,15348.0,15348.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n186,dyNET,clab/dynet,dyNET,,,ml-frameworks,,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21.000000,2020-10-22 07:16:17.000000,2020-10-22 07:16:12.000000,692.0,255.0,658.0,3155.0,3260.0,2020-10-21 14:31:01.000000,2.1.2,24.0,DyNet: The Dynamic Neural Network Toolkit.,202.0,164.0,155.0,28,https://pypi.org/project/dyNET,2020-10-21 14:31:01.000000,38.0,5662.0,5686.0,,,,True,3,1205.0,,,,,,,,,,,,,,,,,,,,,,,,\n187,Blaze,blaze/blaze,blaze,conda-forge/blaze,,data-containers,,https://github.com/blaze/blaze,https://github.com/blaze/blaze,BSD-3-Clause,2012-10-26 14:25:22.000000,2020-02-01 19:33:09.000000,2019-08-15 21:14:59.000000,373.0,262.0,500.0,2919.0,7496.0,2016-07-19 20:40:03.000000,0.11.0,14.0,NumPy and Pandas interface to Big Data.,7841.0,7353.0,64.0,28,https://pypi.org/project/blaze,2016-05-06 21:19:21.000000,488.0,10335.0,15017.0,https://anaconda.org/conda-forge/blaze,2018-07-15 22:16:17.685000,187305.0,False,2,,,,,,,,,,,,,,,,,,,,,,,,,\n188,Dedupe,dedupeio/dedupe,dedupe,,,nlp,,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36.000000,2020-12-24 19:43:22.000000,2020-11-09 02:38:13.000000,402.0,49.0,568.0,2849.0,2792.0,2020-09-02 00:17:19.000000,2.0.6,157.0,\"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.\",251.0,173.0,55.0,28,https://pypi.org/project/dedupe,2020-09-06 01:50:45.000000,78.0,52409.0,52409.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n189,PyCaret,pycaret/pycaret,pycaret,,,ml-experiments,,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000000,2020-12-27 20:13:30.000000,2020-12-22 22:14:34.000000,574.0,144.0,520.0,2745.0,1513.0,2020-12-22 22:10:30.000000,2.2.3,68.0,\"An open-source, low-code machine learning library in Python.\",555.0,555.0,38.0,28,https://pypi.org/project/pycaret,2020-12-22 22:10:30.000000,0.0,26719.0,26787.0,,,,True,2,344.0,,,,,,,,,,,,,,,,,,,,,,,,\n190,phonenumbers,daviddrysdale/python-phonenumbers,phonenumbers,conda-forge/phonenumbers,,nlp,,https://github.com/daviddrysdale/python-phonenumbers,https://github.com/daviddrysdale/python-phonenumbers,Apache-2.0,2011-04-21 03:06:38.000000,2020-12-22 15:32:16.000000,2020-12-22 15:32:10.000000,324.0,3.0,110.0,2593.0,,2020-12-04 08:41:00.000000,8.12.15,166.0,Python port of Google's libphonenumber.,2280.0,,22.0,28,https://pypi.org/project/phonenumbers,2020-12-16 08:06:19.000000,2280.0,789567.0,796332.0,https://anaconda.org/conda-forge/phonenumbers,2019-08-04 21:19:59.322000,365356.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n191,VisPy,vispy/vispy,vispy,conda-forge/vispy,,data-viz,['jupyter'],https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22.000000,2020-12-22 03:47:57.000000,2020-11-28 02:03:40.000000,535.0,354.0,778.0,2538.0,6394.0,2020-12-14 15:55:00.000000,0.6.6,16.0,High-performance interactive 2D/3D data visualization library.,558.0,436.0,144.0,28,https://pypi.org/project/vispy,2020-11-28 02:55:50.000000,122.0,12999.0,16127.0,https://anaconda.org/conda-forge/vispy,2020-11-28 13:05:36.454000,116266.0,True,2,,,,,,,,,vispy,https://www.npmjs.com/package/vispy,2020-03-15 14:39:41.516000,,69.0,,,,,,,,,,,,\n192,datashader,holoviz/datashader,datashader,conda-forge/datashader,,data-viz,,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000000,2020-12-27 22:35:20.000000,2020-12-23 23:09:56.000000,307.0,144.0,315.0,2376.0,1276.0,2020-08-16 19:52:29.000000,0.11.1,22.0,Quickly and accurately render even the largest data.,612.0,542.0,43.0,28,https://pypi.org/project/datashader,2020-12-23 17:43:10.000000,70.0,14097.0,17556.0,https://anaconda.org/conda-forge/datashader,2020-08-17 11:43:03.087000,127993.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n193,dbt,fishtown-analytics/dbt,dbt,conda-forge/dbt,,data-pipelines,,https://github.com/fishtown-analytics/dbt,https://github.com/fishtown-analytics/dbt,Apache-2.0,2016-03-10 02:38:00.000000,2020-12-24 23:02:56.000000,2020-12-22 19:07:20.000000,462.0,253.0,1408.0,2297.0,2481.0,2020-10-13 21:51:53.000000,0.18.1,139.0,dbt (data build tool) enables data analysts and engineers to transform their data using the same practices that..,169.0,160.0,127.0,28,https://pypi.org/project/dbt,2020-10-21 00:46:58.000000,9.0,88447.0,91447.0,https://anaconda.org/conda-forge/dbt,2020-05-14 13:55:32.153000,147033.0,True,2,,,dbt,,,,,,,,,,,,,,,,,,,,,,\n194,sklearn-pandas,scikit-learn-contrib/sklearn-pandas,sklearn-pandas,,,data-containers,\"['sklearn', 'pandas']\",https://github.com/scikit-learn-contrib/sklearn-pandas,https://github.com/scikit-learn-contrib/sklearn-pandas,Zlib,2013-04-22 22:55:20.000000,2020-12-03 06:11:35.000000,2020-12-03 06:11:34.000000,377.0,40.0,116.0,2296.0,267.0,2020-10-01 20:56:27.000000,2.0.3,24.0,Pandas integration with sklearn.,1799.0,1577.0,35.0,28,https://pypi.org/project/sklearn-pandas,2020-11-07 02:30:27.000000,222.0,111907.0,111907.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,,,\n195,eli5,TeamHG-Memex/eli5,eli5,conda-forge/eli5,,interpretability,,https://github.com/TeamHG-Memex/eli5,https://github.com/TeamHG-Memex/eli5,MIT,2016-09-15 01:04:57.000000,2020-12-09 18:22:22.000000,2020-01-22 07:39:36.000000,282.0,125.0,108.0,2237.0,1198.0,2019-08-29 06:19:32.000000,0.10.1,27.0,A library for debugging/inspecting machine learning classifiers and explaining their predictions.,902.0,806.0,14.0,28,https://pypi.org/project/eli5,2019-08-29 06:19:32.000000,96.0,240406.0,242377.0,https://anaconda.org/conda-forge/eli5,2020-06-15 13:11:13.408000,84753.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n196,GPyTorch,cornellius-gp/gpytorch,gpytorch,,,probabilistics,['pytorch'],https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000000,2020-12-20 00:38:42.000000,2020-12-18 00:08:52.000000,308.0,190.0,613.0,2218.0,3202.0,2020-11-30 21:36:11.000000,1.3.0,24.0,A highly efficient and modular implementation of Gaussian Processes in PyTorch.,191.0,183.0,62.0,28,https://pypi.org/project/gpytorch,2020-11-30 21:38:19.000000,8.0,32579.0,32579.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n197,implicit,benfred/implicit,implicit,conda-forge/implicit,,recommender-systems,,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000000,2020-11-24 06:44:37.378000,2020-11-15 19:47:23.000000,452.0,76.0,255.0,2197.0,300.0,2020-09-15 22:01:38.000000,0.4.4,34.0,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,352.0,330.0,28.0,28,https://pypi.org/project/implicit,2020-09-15 22:01:38.000000,22.0,94253.0,99247.0,https://anaconda.org/conda-forge/implicit,2020-11-24 06:44:37.378000,174815.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n198,AzureML SDK,Azure/MachineLearningNotebooks,azureml-sdk,,,ml-experiments,,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000000,2020-12-12 00:49:34.000000,2020-12-12 00:49:33.000000,1464.0,53.0,842.0,2050.0,1081.0,2020-12-07 18:38:50.000000,1.19.0,65.0,Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft.,60.0,,52.0,28,https://pypi.org/project/azureml-sdk,2020-12-07 18:38:50.000000,60.0,292514.0,292528.0,,,,True,2,380.0,,,,,,,,,,,,,,,,,,,,,,,,\n199,ImageHash,JohannesBuchner/imagehash,ImageHash,conda-forge/imagehash,,image,,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48.000000,2020-11-27 16:31:23.000000,2020-11-27 16:31:13.000000,241.0,17.0,69.0,1783.0,182.0,2020-11-19 14:54:24.000000,4.2.0,17.0,A Python Perceptual Image Hashing Module.,2297.0,1765.0,17.0,28,https://pypi.org/project/ImageHash,2020-11-19 14:54:24.000000,532.0,368261.0,370197.0,https://anaconda.org/conda-forge/imagehash,2020-11-19 18:20:49.964000,94876.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n200,Ibis,ibis-project/ibis,ibis-framework,conda-forge/ibis-framework,,db-clients,,https://github.com/ibis-project/ibis,https://github.com/ibis-project/ibis,Apache-2.0,2015-04-17 20:43:46.000000,2020-12-23 22:54:58.000000,2020-12-23 22:54:57.000000,243.0,515.0,939.0,1496.0,1321.0,2020-11-11 16:01:20.000000,1.4.0,24.0,\"A pandas-like deferred expression system, with first-class SQL support.\",177.0,129.0,70.0,28,https://pypi.org/project/ibis-framework,2020-11-11 16:01:20.000000,48.0,60132.0,62969.0,https://anaconda.org/conda-forge/ibis-framework,2020-11-13 03:18:14.785000,158876.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n201,pyLDAvis,bmabey/pyLDAvis,pyldavis,conda-forge/pyldavis,,interpretability,['jupyter'],https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03.000000,2020-12-03 09:31:49.000000,2020-12-02 18:10:12.000000,288.0,91.0,56.0,1369.0,218.0,2018-06-05 18:55:56.000000,2.1.2,17.0,Python library for interactive topic model visualization. Port of the R LDAvis package.,1727.0,1628.0,31.0,28,https://pypi.org/project/pyldavis,2018-06-05 18:55:56.000000,99.0,65946.0,66629.0,https://anaconda.org/conda-forge/pyldavis,2018-06-22 21:16:15.741000,20510.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n202,Flax,google/flax,flax,,,ml-frameworks,['jax'],https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000000,2020-12-27 17:27:34.000000,2020-12-23 18:20:44.000000,149.0,114.0,103.0,1316.0,1393.0,2020-12-08 15:13:37.000000,0.3.0,9.0,Flax is a neural network ecosystem for JAX that is designed for flexibility.,77.0,74.0,68.0,28,https://pypi.org/project/flax,2020-12-08 15:14:03.000000,3.0,60819.0,60821.0,,,,True,3,18.0,,,,,,,,,,,,,,,,,,,,,,,,\n203,Bottleneck,pydata/bottleneck,Bottleneck,conda-forge/bottleneck,,data-containers,,https://github.com/pydata/bottleneck,https://github.com/pydata/bottleneck,BSD-2-Clause,2010-11-27 23:21:22.000000,2020-11-25 00:09:27.000000,2020-11-25 00:09:25.000000,61.0,22.0,177.0,566.0,1226.0,2020-02-21 06:22:16.000000,1.3.2,21.0,Fast NumPy array functions written in C.,20512.0,17620.0,20.0,28,https://pypi.org/project/Bottleneck,2020-02-21 06:22:16.000000,2892.0,187995.0,212554.0,https://anaconda.org/conda-forge/bottleneck,2020-10-12 10:23:18.707000,1350765.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n204,pyproj,pyproj4/pyproj,pyproj,conda-forge/pyproj,,geospatial-data,,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000000,2020-12-20 02:59:03.000000,2020-12-20 02:57:05.000000,146.0,6.0,372.0,557.0,1096.0,2020-11-05 13:39:29.000000,3.0.0.post1,34.0,Python interface to PROJ (cartographic projections and coordinate transformations library).,10412.0,7950.0,39.0,28,https://pypi.org/project/pyproj,2020-11-05 14:28:45.000000,2462.0,1129159.0,1159664.0,https://anaconda.org/conda-forge/pyproj,2020-11-06 22:55:31.654000,1830323.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n205,inflect,jaraco/inflect,inflect,conda-forge/inflect,,nlp,,https://github.com/jaraco/inflect,https://github.com/jaraco/inflect,MIT,2010-06-20 13:43:13.000000,2020-12-18 02:56:48.000000,2020-11-15 19:27:28.000000,57.0,13.0,58.0,463.0,590.0,2020-11-15 17:41:03.000000,5.0.2,30.0,\"Correctly generate plurals, ordinals, indefinite articles; convert numbers to words.\",1388.0,,25.0,28,https://pypi.org/project/inflect,2020-11-15 17:40:58.000000,1388.0,910429.0,913194.0,https://anaconda.org/conda-forge/inflect,2020-11-15 19:06:38.533000,121686.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n206,minio,minio/minio-py,minio,conda-forge/minio,,db-clients,,https://github.com/minio/minio-py,https://github.com/minio/minio-py,Apache-2.0,2015-06-17 03:51:15.000000,2020-12-10 17:13:57.000000,2020-12-10 17:13:56.000000,169.0,9.0,365.0,385.0,1005.0,2020-12-08 20:45:54.000000,7.0.0,84.0,MinIO Client SDK for Python.,1534.0,1190.0,88.0,28,https://pypi.org/project/minio,2020-12-08 20:28:35.000000,344.0,170423.0,171270.0,https://anaconda.org/conda-forge/minio,2020-12-08 21:39:26.963000,15263.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n207,DIPY,dipy/dipy,dipy,conda-forge/dipy,,medical-data,,https://github.com/dipy/dipy,https://github.com/dipy/dipy,BSD-3-Clause,2010-02-06 11:43:08.000000,2020-12-17 18:09:13.000000,2020-12-10 16:48:07.000000,313.0,156.0,571.0,371.0,11365.0,2020-11-05 17:35:53.000000,1.3.0,21.0,\"DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal..\",407.0,313.0,118.0,28,https://pypi.org/project/dipy,2020-11-05 17:35:53.000000,94.0,7690.0,10776.0,https://anaconda.org/conda-forge/dipy,2020-11-14 18:28:50.683000,169754.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n208,Cython BLIS,explosion/cython-blis,blis,conda-forge/cython-blis,,others,,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16.000000,2020-12-07 11:23:01.451000,2020-12-07 07:21:11.000000,22.0,6.0,15.0,157.0,524.0,2020-12-07 08:56:44.000000,0.7.4,35.0,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,7853.0,7463.0,9.0,28,https://pypi.org/project/blis,2020-12-07 08:56:44.000000,390.0,808942.0,826931.0,https://anaconda.org/conda-forge/cython-blis,2020-12-07 11:23:01.451000,377789.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n209,CNTK,microsoft/CNTK,cntk,,,ml-frameworks,,https://github.com/microsoft/CNTK,https://github.com/microsoft/CNTK,MIT,2015-11-26 09:52:06.000000,2020-12-09 22:21:57.000000,2020-03-31 15:55:14.000000,4421.0,805.0,2513.0,16941.0,16116.0,2019-04-26 14:13:32.000000,2.7,32.0,\"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.\",17.0,,265.0,27,https://pypi.org/project/cntk,2020-12-09 22:21:57.000000,17.0,1460.0,1690.0,,,,True,3,13579.0,,,,,,,,,,,,,,,,,,,,,,,,\n210,Dopamine,google/dopamine,dopamine-rl,,,reinforcement-learning,['tensorflow'],https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36.000000,2020-11-24 20:59:46.000000,2020-11-24 20:59:42.000000,1225.0,72.0,68.0,9249.0,210.0,2020-10-16 22:05:03.000000,3.1.8,34.0,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,31.0,,13.0,27,https://pypi.org/project/dopamine-rl,2020-10-16 22:05:03.000000,31.0,65464.0,65464.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n211,AutoKeras,keras-team/autokeras,autokeras,,,hyperopt,['tensorflow'],https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20.000000,2020-12-21 17:00:14.000000,2020-12-11 07:59:44.000000,1241.0,59.0,652.0,7658.0,1228.0,2020-11-30 02:43:50.000000,1.0.12,46.0,AutoML library for deep learning.,146.0,139.0,125.0,27,https://pypi.org/project/autokeras,2020-11-30 02:43:50.000000,7.0,6250.0,6250.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n212,pretrainedmodels,Cadene/pretrained-models.pytorch,pretrainedmodels,,,pytorch-utils,['pytorch'],https://github.com/Cadene/pretrained-models.pytorch,https://github.com/Cadene/pretrained-models.pytorch,BSD-3-Clause,2017-04-09 15:54:23.000000,2020-06-08 16:06:59.000000,2020-04-16 08:02:22.000000,1606.0,85.0,86.0,7554.0,154.0,2018-10-29 08:18:45.000000,0.7.4,16.0,\"Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.\",897.0,793.0,22.0,27,https://pypi.org/project/pretrainedmodels,2018-10-29 08:18:45.000000,104.0,22975.0,22975.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n213,Google Images Download,hardikvasa/google-images-download,google_images_download,,,web-scraping,,https://github.com/hardikvasa/google-images-download,https://github.com/hardikvasa/google-images-download,MIT,2015-03-28 16:50:28.000000,2020-12-06 13:01:13.000000,2019-05-21 18:24:10.000000,1699.0,103.0,159.0,7323.0,156.0,2019-05-14 00:35:40.000000,2.7.1,39.0,Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!.,214.0,,38.0,27,https://pypi.org/project/google_images_download,2019-05-14 00:35:40.000000,214.0,20482.0,20482.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n214,dgl,dmlc/dgl,dgl,,,graph,,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000000,2020-12-27 15:38:56.000000,2020-12-27 03:00:18.000000,1265.0,215.0,653.0,6365.0,1449.0,2020-11-30 07:39:12.000000,0.5.3,331.0,\"Python package built to ease deep learning on graph, on top of existing DL frameworks.\",30.0,,93.0,27,https://pypi.org/project/dgl,2020-12-27 08:43:11.000000,30.0,15334.0,15334.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n215,OpenNMT,OpenNMT/OpenNMT-py,OpenNMT-py,,,nlp,['pytorch'],https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000000,2020-12-16 10:12:20.000000,2020-12-09 16:36:52.000000,1742.0,94.0,1110.0,4714.0,2525.0,2020-11-10 18:09:08.000000,2.0.0rc2,26.0,Open Source Neural Machine Translation in PyTorch.,68.0,64.0,164.0,27,https://pypi.org/project/OpenNMT-py,2020-11-10 18:10:02.000000,4.0,3994.0,3994.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n216,GluonCV,dmlc/gluon-cv,gluoncv,,,image,['mxnet'],https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21.000000,2020-12-26 09:01:43.000000,2020-12-19 05:52:40.000000,1018.0,370.0,371.0,4413.0,818.0,2020-12-02 23:04:17.000000,0.9.0,945.0,Gluon CV Toolkit.,409.0,379.0,106.0,27,https://pypi.org/project/gluoncv,2020-12-26 09:01:43.000000,30.0,43494.0,43494.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n217,skorch,skorch-dev/skorch,skorch,conda-forge/skorch,,ml-frameworks,\"['pytorch', 'sklearn']\",https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000000,2020-12-25 23:01:19.000000,2020-12-25 23:01:18.000000,272.0,48.0,311.0,3692.0,935.0,2020-08-30 10:46:40.000000,0.9.0,12.0,A scikit-learn compatible neural network library that wraps PyTorch.,258.0,245.0,39.0,27,https://pypi.org/project/skorch,2020-08-30 10:43:37.000000,13.0,7918.0,13710.0,https://anaconda.org/conda-forge/skorch,2020-09-19 04:12:07.576000,156387.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n218,OCRmyPDF,jbarlow83/OCRmyPDF,ocrmypdf,,,ocr,,https://github.com/jbarlow83/OCRmyPDF,https://github.com/jbarlow83/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000000,2020-12-27 12:50:29.000000,2020-12-27 11:29:35.000000,411.0,85.0,550.0,3579.0,2796.0,2020-12-27 12:50:29.000000,11.4.2,154.0,\"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.\",112.0,100.0,47.0,27,https://pypi.org/project/ocrmypdf,2020-12-27 12:50:29.000000,12.0,13452.0,13452.0,,,,True,2,,,ocrmypdf,,,,,,,,,,,,ocrmypdf,,,,,,,,,,\n219,imutils,jrosebr1/imutils,imutils,conda-forge/imutils,,image,,https://github.com/jrosebr1/imutils,https://github.com/jrosebr1/imutils,MIT,2015-01-11 20:05:39.000000,2020-12-24 22:54:44.000000,2019-08-18 11:50:57.000000,851.0,123.0,75.0,3449.0,137.0,2019-08-18 11:56:06.000000,0.5.3,28.0,\"A series of convenience functions to make basic image processing operations such as translation, rotation, resizing,..\",12291.0,11095.0,19.0,27,https://pypi.org/project/imutils,2019-08-18 11:56:06.000000,1196.0,160077.0,161910.0,https://anaconda.org/conda-forge/imutils,2020-11-01 14:10:29.531000,32999.0,False,2,,,,,,,,,,,,,,,,,,,,,,,,,\n220,lightfm,lyst/lightfm,lightfm,conda-forge/lightfm,,recommender-systems,,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00.000000,2020-12-07 16:07:27.944000,2020-11-27 19:54:37.000000,561.0,127.0,272.0,3433.0,404.0,2020-11-27 19:48:30.000000,1.16,14.0,\"A Python implementation of LightFM, a hybrid recommendation algorithm.\",394.0,366.0,42.0,27,https://pypi.org/project/lightfm,2020-11-27 19:55:08.000000,28.0,96202.0,98219.0,https://anaconda.org/conda-forge/lightfm,2020-12-07 16:07:27.944000,70616.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n221,InterpretML,interpretml/interpret,interpret,,,interpretability,['jupyter'],https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000000,2020-12-21 22:57:33.000000,2020-12-21 18:51:26.000000,409.0,50.0,118.0,3342.0,1403.0,2020-10-20 01:41:37.000000,0.2.2,32.0,Fit interpretable models. Explain blackbox machine learning.,60.0,58.0,21.0,27,https://pypi.org/project/interpret,2020-10-20 01:35:45.000000,2.0,11892.0,11892.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n222,Kedro,quantumblacklabs/kedro,kedro,,,data-pipelines,,https://github.com/quantumblacklabs/kedro,https://github.com/quantumblacklabs/kedro,Apache-2.0,2019-04-18 10:29:56.000000,2020-12-26 19:14:49.000000,2020-12-17 16:05:09.000000,379.0,81.0,329.0,3254.0,1096.0,2020-12-17 13:31:56.000000,0.17.0,24.0,\"A Python framework for creating reproducible, maintainable and modular data science code.\",357.0,341.0,89.0,27,https://pypi.org/project/kedro,2020-12-17 13:31:56.000000,16.0,56489.0,56489.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n223,Ignite,pytorch/ignite,pytorch-ignite,pytorch/ignite,,ml-frameworks,['pytorch'],https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000000,2020-12-28 00:42:04.000000,2020-12-27 12:22:57.000000,403.0,98.0,583.0,3195.0,837.0,2020-09-20 20:00:28.000000,0.4.2,420.0,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,732.0,670.0,116.0,27,https://pypi.org/project/pytorch-ignite,2020-12-28 00:42:04.000000,62.0,28193.0,29865.0,https://anaconda.org/pytorch/ignite,2020-09-20 20:00:11.134000,50185.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n224,Alpha Vantage,RomelTorres/alpha_vantage,alpha_vantage,,,financial-data,,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00.000000,2020-12-21 19:51:59.000000,2020-12-21 19:51:57.000000,541.0,16.0,194.0,2937.0,497.0,2020-12-21 02:37:29.000000,2.3.1,28.0,A python wrapper for Alpha Vantage API for financial data.,202.0,,36.0,27,https://pypi.org/project/alpha_vantage,2018-08-26 18:55:11.000000,202.0,26226.0,26226.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n225,missingno,ResidentMario/missingno,missingno,conda-forge/missingno,,data-viz,,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50.000000,2020-11-23 17:34:43.000000,2020-11-23 17:34:42.000000,331.0,15.0,86.0,2582.0,169.0,2019-07-09 16:03:51.000000,0.4.2,21.0,Missing data visualization module for Python.,2598.0,2522.0,14.0,27,https://pypi.org/project/missingno,2018-06-29 16:25:00.000000,76.0,197407.0,199004.0,https://anaconda.org/conda-forge/missingno,2020-02-15 10:07:41.253000,65509.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n226,pomegranate,jmschrei/pomegranate,pomegranate,conda-forge/pomegranate,,probabilistics,,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000000,2020-12-15 20:41:34.000000,2020-12-12 22:53:40.000000,461.0,39.0,526.0,2550.0,839.0,2020-07-12 21:28:17.000000,0.13.4,59.0,\"Fast, flexible and easy to use probabilistic modelling in Python.\",393.0,365.0,60.0,27,https://pypi.org/project/pomegranate,2020-07-12 21:28:17.000000,28.0,20494.0,22920.0,https://anaconda.org/conda-forge/pomegranate,2020-11-01 16:22:04.857000,41256.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n227,Catalyst,catalyst-team/catalyst,catalyst,,,ml-experiments,['pytorch'],https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13.000000,2020-12-27 20:51:48.000000,2020-12-25 06:30:48.000000,260.0,28.0,257.0,2339.0,1465.0,2020-12-20 10:12:32.000000,20.12,86.0,Accelerated deep learning R&D.,290.0,252.0,80.0,27,https://pypi.org/project/catalyst,2020-12-20 10:06:58.000000,38.0,9146.0,9146.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n228,pygal,Kozea/pygal,pygal,conda-forge/pygal,,graph,,https://github.com/Kozea/pygal,https://github.com/Kozea/pygal,LGPL-3.0,2011-09-23 10:17:50.000000,2020-12-24 20:11:00.000000,2020-10-14 16:41:45.000000,380.0,164.0,240.0,2296.0,1012.0,2017-07-05 09:22:41.000000,2.4.0,74.0,PYthon svg GrAph plotting Library.,1152.0,,69.0,27,https://pypi.org/project/pygal,2020-10-14 13:06:35.000000,1152.0,62258.0,62569.0,https://anaconda.org/conda-forge/pygal,2019-06-04 02:55:56.728000,5599.0,False,1,,,,,,,,,,,,,,,,,,,,,,,,,\n229,NMSLIB,nmslib/nmslib,nmslib,conda-forge/nmslib,,nn-search,,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06.000000,2020-12-26 23:02:17.000000,2020-11-03 18:25:07.000000,328.0,44.0,310.0,2236.0,1421.0,2020-04-16 18:21:23.000000,2.0.6,21.0,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,352.0,300.0,40.0,27,https://pypi.org/project/nmslib,2020-04-16 18:21:23.000000,52.0,44131.0,45123.0,https://anaconda.org/conda-forge/nmslib,2020-11-27 07:52:15.202000,7942.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n230,GluonNLP,dmlc/gluon-nlp,gluonnlp,,,nlp,['mxnet'],https://github.com/dmlc/gluon-nlp,https://github.com/dmlc/gluon-nlp,Apache-2.0,2018-04-04 20:57:13.000000,2020-12-28 00:24:55.000000,2020-10-08 21:11:34.000000,490.0,227.0,281.0,2196.0,784.0,2020-08-13 19:16:27.000000,0.10.0,25.0,\"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..\",367.0,356.0,72.0,27,https://pypi.org/project/gluonnlp,2020-08-13 01:28:51.000000,11.0,34165.0,34165.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n231,Cufflinks,santosjorge/cufflinks,cufflinks,,,data-viz,['pandas'],https://github.com/santosjorge/cufflinks,https://github.com/santosjorge/cufflinks,MIT,2014-11-19 20:59:33.000000,2020-10-07 16:12:54.000000,2020-10-07 16:12:53.000000,501.0,79.0,119.0,2028.0,450.0,2020-03-01 17:42:01.000000,0.17.3,27.0,Productivity Tools for Plotly + Pandas.,2664.0,2430.0,37.0,27,https://pypi.org/project/cufflinks,2020-03-01 17:42:01.000000,234.0,50669.0,50669.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n232,Databases,encode/databases,databases,conda-forge/databases,,db-clients,,https://github.com/encode/databases,https://github.com/encode/databases,BSD-3-Clause,2019-02-01 10:55:25.000000,2020-12-10 06:34:13.000000,2020-12-10 06:34:11.000000,131.0,88.0,87.0,1863.0,268.0,2020-11-16 20:54:58.000000,0.4.1,29.0,Async database support for Python.,1310.0,1250.0,28.0,27,https://pypi.org/project/databases,2020-11-16 20:54:58.000000,60.0,44408.0,47899.0,https://anaconda.org/conda-forge/databases,2020-11-21 20:34:38.553000,76822.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n233,hdbscan,scikit-learn-contrib/hdbscan,hdbscan,conda-forge/hdbscan,,others,['sklearn'],https://github.com/scikit-learn-contrib/hdbscan,https://github.com/scikit-learn-contrib/hdbscan,BSD-3-Clause,2015-04-22 13:32:37.000000,2020-12-17 03:36:32.000000,2020-12-17 03:36:31.000000,334.0,213.0,139.0,1776.0,858.0,2020-03-19 19:19:04.000000,0.8.26,42.0,A high performance implementation of HDBSCAN clustering.,812.0,688.0,63.0,27,https://pypi.org/project/hdbscan,2020-03-19 19:19:04.000000,124.0,134527.0,143935.0,https://anaconda.org/conda-forge/hdbscan,2020-11-02 02:54:21.050000,498658.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n234,TF-Agents,tensorflow/agents,tf-agents,,,reinforcement-learning,['tensorflow'],https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000000,2020-12-27 05:35:09.000000,2020-12-27 05:34:28.000000,443.0,98.0,301.0,1734.0,1572.0,2020-11-17 03:53:32.000000,0.7.0,16.0,TF-Agents is a library for Reinforcement Learning in TensorFlow.,334.0,328.0,84.0,27,https://pypi.org/project/tf-agents,2020-12-15 19:06:26.000000,6.0,6913.0,6913.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n235,libcloud,apache/libcloud,apache-libcloud,,,db-clients,,https://github.com/apache/libcloud,https://github.com/apache/libcloud,Apache-2.0,2009-12-11 09:00:14.000000,2020-12-27 22:08:43.000000,2020-12-27 21:52:13.000000,880.0,30.0,64.0,1730.0,,2020-09-20 13:03:47.000000,3.2.0,61.0,Apache Libcloud is a Python library which hides differences between different cloud provider APIs and allows you to..,3119.0,1577.0,418.0,27,https://pypi.org/project/apache-libcloud,2020-09-20 13:03:47.000000,1542.0,54122.0,54122.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n236,textacy,chartbeat-labs/textacy,textacy,conda-forge/textacy,,nlp,,https://github.com/chartbeat-labs/textacy,https://github.com/chartbeat-labs/textacy,Apache-2.0,2016-02-03 16:52:45.000000,2020-12-16 17:26:04.000000,2020-12-06 20:43:27.000000,211.0,29.0,194.0,1577.0,1328.0,2020-08-29 20:51:05.000000,0.10.1,29.0,\"NLP, before and after spaCy.\",77.0,,28.0,27,https://pypi.org/project/textacy,2020-08-29 20:51:28.000000,77.0,29137.0,30836.0,https://anaconda.org/conda-forge/textacy,2020-11-19 15:32:56.211000,73062.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n237,datasketch,ekzhu/datasketch,datasketch,,,data-containers,,https://github.com/ekzhu/datasketch,https://github.com/ekzhu/datasketch,MIT,2015-03-20 01:21:46.000000,2020-12-23 21:01:58.000000,2020-12-23 21:00:36.000000,198.0,19.0,90.0,1401.0,193.0,2020-12-15 20:59:57.000000,1.5.2,74.0,\"MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble.\",328.0,242.0,16.0,27,https://pypi.org/project/datasketch,2020-12-15 20:59:57.000000,86.0,193803.0,193803.0,,,,True,3,16.0,,,,,,,,,,,,,,,,,,,,,,,,\n238,Cartopy,mapbox/rasterio,Cartopy,conda-forge/cartopy,,geospatial-data,,https://github.com/mapbox/rasterio,https://github.com/mapbox/rasterio,LGPL-3.0,2013-11-04 16:36:27.000000,2020-12-21 22:49:27.196000,2020-12-15 00:21:46.000000,387.0,135.0,1183.0,1391.0,3239.0,2018-11-17 07:43:32.000000,0.17.0,18.0,Rasterio reads and writes geospatial raster datasets.,2710.0,2537.0,109.0,27,https://pypi.org/project/Cartopy,2020-04-27 04:57:38.000000,173.0,12222.0,34755.0,https://anaconda.org/conda-forge/cartopy,2020-12-21 22:49:27.196000,1283845.0,False,2,702.0,,,,,,,,,,,,,,,,,,,,,,,,\n239,GPflow,GPflow/GPflow,gpflow,conda-forge/gpflow,,probabilistics,['tensorflow'],https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000000,2020-12-21 12:16:16.000000,2020-12-01 11:59:33.000000,389.0,86.0,599.0,1355.0,2203.0,2020-12-01 12:59:03.000000,2.1.4,28.0,Gaussian processes in TensorFlow.,223.0,206.0,68.0,27,https://pypi.org/project/gpflow,2020-12-01 13:12:15.000000,17.0,4664.0,4919.0,https://anaconda.org/conda-forge/gpflow,2018-11-06 08:51:39.744000,7924.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n240,ipyleaflet,jupyter-widgets/ipyleaflet,ipyleaflet,conda-forge/ipyleaflet,,geospatial-data,['jupyter'],https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10.000000,2020-12-12 05:33:28.000000,2020-11-30 13:43:59.000000,264.0,124.0,246.0,1066.0,892.0,2020-07-29 08:54:44.000000,0.13.3,66.0,A Jupyter - Leaflet.js bridge.,747.0,647.0,63.0,27,https://pypi.org/project/ipyleaflet,2020-07-24 15:15:48.000000,98.0,15260.0,168966.0,https://anaconda.org/conda-forge/ipyleaflet,2020-07-29 11:54:47.139000,568919.0,True,2,,,,,,,,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2020-07-24 14:55:26.216000,2.0,143363.0,,,,,,,,,,,,\n241,PyCUDA,inducer/pycuda,pycuda,,,gpu-utilities,,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000000,2020-12-20 19:34:17.000000,2020-12-20 19:30:13.000000,214.0,40.0,122.0,1044.0,1447.0,2019-08-12 04:15:37.000000,2019.1.2,46.0,\"CUDA integration for Python, plus shiny features.\",990.0,698.0,68.0,27,https://pypi.org/project/pycuda,2020-10-07 21:59:52.000000,292.0,14418.0,14418.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n242,Model Analysis,tensorflow/model-analysis,tensorflow-model-analysis,,,interpretability,\"['tensorflow', 'jupyter']\",https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000000,2020-12-23 22:44:50.000000,2020-12-23 22:44:44.000000,203.0,22.0,32.0,1014.0,871.0,2020-12-16 20:56:20.000000,0.26.0,33.0,Model analysis tools for TensorFlow.,10.0,,33.0,27,https://pypi.org/project/tensorflow-model-analysis,2020-12-16 20:56:20.000000,10.0,5428199.0,5428199.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n243,PyStan,stan-dev/pystan,pystan,conda-forge/pystan,,probabilistics,,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,GPL-3.0,2013-05-24 01:21:21.000000,2020-11-21 11:22:51.000000,2020-11-21 11:22:43.000000,192.0,66.0,425.0,897.0,867.0,2020-10-16 20:20:46.000000,2.19.1.1-codes,54.0,\"PyStan, the Python interface to Stan.\",2661.0,2319.0,54.0,27,https://pypi.org/project/pystan,2020-11-19 14:21:16.000000,342.0,763159.0,781495.0,https://anaconda.org/conda-forge/pystan,2020-08-25 22:40:14.631000,825085.0,False,2,84.0,,,,,,,,,,,,,,,,,,,,,,,,\n244,pyopencl,inducer/pyopencl,pyopencl,conda-forge/pyopencl,,others,,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,MIT,2011-04-06 02:51:33.000000,2020-12-20 04:35:35.000000,2020-12-20 04:35:27.000000,199.0,50.0,205.0,759.0,2796.0,2020-09-11 21:50:46.000000,2020.3.1,54.0,\"OpenCL integration for Python, plus shiny features.\",671.0,433.0,82.0,27,https://pypi.org/project/pyopencl,2020-11-20 05:22:46.000000,238.0,5902.0,11780.0,https://anaconda.org/conda-forge/pyopencl,2020-11-20 05:04:27.429000,293925.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n245,igraph,igraph/python-igraph,python-igraph,conda-forge/igraph,,graph,,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16.000000,2020-12-11 08:07:37.000000,2020-12-11 08:07:36.000000,180.0,23.0,254.0,749.0,1502.0,2020-10-08 14:50:52.000000,0.8.3,18.0,Python interface for igraph.,1779.0,1355.0,47.0,27,https://pypi.org/project/python-igraph,2020-04-28 17:45:27.000000,424.0,50735.0,55223.0,https://anaconda.org/conda-forge/igraph,2020-11-13 06:39:57.318000,189967.0,False,1,21460.0,,,,,,,,,,,,,,,,,,,,,,,,\n246,geojson,jazzband/geojson,geojson,conda-forge/geojson,,geospatial-data,,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48.000000,2020-11-25 21:55:02.000000,2020-11-25 19:10:27.000000,78.0,18.0,50.0,583.0,445.0,2019-08-09 20:32:15.000000,2.5.0,28.0,Python bindings and utilities for GeoJSON.,7035.0,5431.0,44.0,27,https://pypi.org/project/geojson,2019-08-09 20:32:15.000000,1604.0,422355.0,428539.0,https://anaconda.org/conda-forge/geojson,2019-08-11 12:10:34.426000,352503.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n247,detectron2,facebookresearch/detectron2,,conda-forge/detectron2,,image,['pytorch'],https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000000,2020-12-27 06:15:02.000000,2020-12-27 06:14:55.000000,3451.0,84.0,2041.0,14236.0,889.0,2020-11-06 03:20:56.000000,0.3,7.0,Detectron2 is FAIR's next-generation platform for object detection and segmentation.,139.0,139.0,138.0,26,,,,,1678.0,https://anaconda.org/conda-forge/detectron2,2020-08-05 13:27:52.058000,11750.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n248,Streamlit,streamlit/streamlit,streamlit,,,others,,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000000,2020-12-27 06:35:41.000000,2020-12-24 17:46:55.000000,1028.0,509.0,918.0,12306.0,,2020-12-22 21:30:50.000000,0.73.0,120.0,Streamlit The fastest way to build data apps in Python.,75.0,41.0,82.0,26,https://pypi.org/project/streamlit,2020-12-21 23:18:07.000000,34.0,117847.0,117847.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n249,EasyOCR,JaidedAI/EasyOCR,easyocr,,,ocr,,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000000,2020-12-25 10:41:40.000000,2020-12-19 08:40:04.000000,900.0,74.0,152.0,9631.0,365.0,2020-11-17 05:17:50.000000,1.2,13.0,\"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..\",93.0,93.0,73.0,26,https://pypi.org/project/easyocr,2020-11-21 11:04:24.000000,,8507.0,21831.0,,,,True,2,79945.0,,,,,,,,,,,,,,,,,,,,,,,,\n250,NNI,microsoft/nni,nni,,,hyperopt,,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44.000000,2020-12-28 01:07:36.000000,2020-12-21 04:33:04.000000,1088.0,235.0,851.0,8572.0,1844.0,2020-10-22 13:31:52.000000,1.9,34.0,\"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..\",84.0,76.0,111.0,26,https://pypi.org/project/nni,2020-10-22 13:15:53.000000,8.0,2117.0,2117.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n251,InsightFace,deepinsight/insightface,insightface,,,image,['mxnet'],https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,MIT,2017-09-01 00:36:51.000000,2020-12-26 09:06:31.000000,2020-12-26 09:06:22.000000,2841.0,684.0,639.0,8276.0,1460.0,2019-09-07 13:47:11.000000,0.1.5,6.0,Face Analysis Project on MXNet.,47.0,46.0,14.0,26,https://pypi.org/project/insightface,2019-09-07 13:47:11.000000,1.0,6214.0,6214.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n252,Ludwig,ludwig-ai/ludwig,ludwig,,,ml-frameworks,['tensorflow'],https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000000,2020-12-25 23:27:42.000000,2020-12-24 21:12:21.000000,867.0,96.0,405.0,7378.0,2041.0,2020-11-16 23:55:59.000000,0.3.1,14.0,Ludwig is a toolbox that allows to train and evaluate deep learning models without the need to write code.,78.0,72.0,84.0,26,https://pypi.org/project/ludwig,2020-10-05 23:55:39.000000,6.0,1183.0,1183.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n253,PySyft,OpenMined/PySyft,syft,,,privacy-ml,['pytorch'],https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,MIT,2017-07-18 20:41:16.000000,2020-12-26 19:38:48.000000,2020-12-24 01:31:08.000000,1509.0,173.0,2442.0,6680.0,6515.0,2020-11-12 19:57:33.000000,0.3.0,48.0,A library for answering questions using data you cannot see.,3.0,,331.0,26,https://pypi.org/project/syft,2020-09-14 15:03:40.000000,3.0,2270.0,2270.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n254,TensorLayer,tensorlayer/tensorlayer,tensorlayer,,,reinforcement-learning,['tensorflow'],https://github.com/tensorlayer/tensorlayer,https://github.com/tensorlayer/tensorlayer,Apache-2.0,2016-06-07 15:55:16.000000,2020-12-23 00:56:45.000000,2020-10-29 07:58:40.000000,1444.0,48.0,403.0,6433.0,3299.0,2020-06-19 00:53:37.000000,2.2.3,82.0,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,68.0,,127.0,26,https://pypi.org/project/tensorlayer,2020-06-19 00:53:37.000000,68.0,2572.0,2595.0,,,,True,2,1196.0,,,,,,,,,,,,,,,,,,,,,,,,\n255,imageai,OlafenwaMoses/ImageAI,imageai,,,image,,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33.000000,2020-12-24 13:14:27.000000,2020-01-14 21:25:23.000000,1556.0,194.0,384.0,5579.0,277.0,2019-09-13 22:44:02.000000,2.1.5,9.0,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,643.0,631.0,13.0,26,https://pypi.org/project/imageai,2019-09-13 22:44:02.000000,12.0,5994.0,22116.0,,,,True,2,515935.0,,,,,,,,,,,,,,,,,,,,,,,,\n256,carla,carla-simulator/carla,carla,,,others,,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000000,2020-12-24 15:35:17.000000,2020-12-22 22:54:58.000000,1526.0,248.0,2627.0,5374.0,4756.0,2020-12-23 07:08:35.000000,0.9.11,22.0,Open-source simulator for autonomous driving research.,55.0,53.0,122.0,26,https://pypi.org/project/carla,2019-04-28 17:45:24.000000,2.0,726.0,726.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n257,tsfresh,blue-yonder/tsfresh,tsfresh,conda-forge/tsfresh,,time-series-data,['sklearn'],https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17.000000,2020-12-23 10:30:07.000000,2020-12-23 10:30:05.000000,813.0,29.0,390.0,5251.0,398.0,2020-09-09 21:08:22.000000,0.17.0,26.0,Automatic extraction of relevant features from time series:.,33.0,,70.0,26,https://pypi.org/project/tsfresh,2020-09-09 21:08:22.000000,33.0,159846.0,160522.0,https://anaconda.org/conda-forge/tsfresh,2020-09-10 08:48:19.773000,25034.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n258,backtrader,mementum/backtrader,backtrader,,,financial-data,,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52.000000,2020-12-24 19:58:54.000000,2020-07-03 12:52:48.000000,1617.0,13.0,,5248.0,2381.0,,,155.0,Python Backtesting library for trading strategies.,474.0,404.0,50.0,26,https://pypi.org/project/backtrader,2020-07-03 13:02:14.000000,70.0,14405.0,14405.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,,,\n259,DeepPavlov,deepmipt/DeepPavlov,deeppavlov,,,nlp,['tensorflow'],https://github.com/deepmipt/DeepPavlov,https://github.com/deepmipt/DeepPavlov,Apache-2.0,2017-11-17 14:35:29.000000,2020-12-27 23:33:21.000000,2020-12-24 16:30:15.000000,884.0,69.0,445.0,4909.0,2579.0,2020-12-24 16:35:56.000000,0.14.0,41.0,An open source library for deep learning end-to-end dialog systems and chatbots.,170.0,166.0,61.0,26,https://pypi.org/project/deeppavlov,2020-12-24 16:33:49.000000,4.0,7380.0,7380.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n260,keras-rl,keras-rl/keras-rl,keras-rl,,,reinforcement-learning,['tensorflow'],https://github.com/keras-rl/keras-rl,https://github.com/keras-rl/keras-rl,MIT,2016-07-02 15:53:12.000000,2020-11-20 07:32:13.000000,2019-11-11 22:14:54.000000,1284.0,39.0,210.0,4899.0,308.0,2018-06-01 07:52:24.000000,0.4.2,8.0,Deep Reinforcement Learning for Keras.,490.0,439.0,40.0,26,https://pypi.org/project/keras-rl,2018-06-01 07:52:24.000000,51.0,1553.0,1553.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,,,\n261,Bayesian Optimization,fmfn/BayesianOptimization,bayesian-optimization,,,hyperopt,,https://github.com/fmfn/BayesianOptimization,https://github.com/fmfn/BayesianOptimization,MIT,2014-06-06 08:18:56.000000,2020-12-24 10:51:12.000000,2020-12-19 01:11:23.000000,1025.0,42.0,163.0,4737.0,199.0,2020-05-16 16:03:51.000000,1.2.0,8.0,A Python implementation of global optimization with gaussian processes.,643.0,551.0,27.0,26,https://pypi.org/project/bayesian-optimization,2020-05-16 15:56:09.000000,92.0,56220.0,56221.0,,,,True,2,44.0,,,,,,,,,,,,,,,,,,,,,,,,\n262,PDFMiner,euske/pdfminer,pdfminer,conda-forge/pdfminer,,data-loading,,https://github.com/euske/pdfminer,https://github.com/euske/pdfminer,MIT,2010-12-12 12:50:22.000000,2020-06-23 18:16:10.000000,2020-01-18 07:00:32.000000,1024.0,222.0,38.0,4459.0,540.0,,,24.0,Python PDF Parser (Not actively maintained). Check out pdfminer.six.,3400.0,1934.0,28.0,26,https://pypi.org/project/pdfminer,2019-11-25 12:02:21.000000,1466.0,172859.0,173115.0,https://anaconda.org/conda-forge/pdfminer,2019-11-03 18:50:06.843000,13317.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n263,Datasette,simonw/datasette,datasette,,,others,,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000000,2020-12-24 11:24:11.000000,2020-12-23 17:04:32.000000,241.0,209.0,719.0,4426.0,1531.0,2020-12-11 01:46:44.000000,0.53,87.0,An open source multi-tool for exploring and publishing data.,397.0,327.0,41.0,26,https://pypi.org/project/datasette,2020-12-11 01:53:37.000000,70.0,7649.0,7649.0,,,,True,2,,,datasette,,,,,,,,,,,,,,,,,,,,,,\n264,Metaflow,Netflix/metaflow,metaflow,conda-forge/metaflow,,ml-experiments,,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000000,2020-12-17 16:56:23.000000,2020-12-01 22:33:03.000000,310.0,107.0,136.0,3938.0,174.0,2020-11-11 10:43:10.000000,2.2.5,14.0,Build and manage real-life data science projects with ease.,99.0,98.0,28.0,26,https://pypi.org/project/metaflow,2020-10-29 00:11:07.000000,1.0,38815.0,39622.0,https://anaconda.org/conda-forge/metaflow,2020-11-12 08:15:24.353000,9694.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n265,MechanicalSoup,MechanicalSoup/MechanicalSoup,MechanicalSoup,conda-forge/mechanicalsoup,,web-scraping,,https://github.com/MechanicalSoup/MechanicalSoup,https://github.com/MechanicalSoup/MechanicalSoup,MIT,2014-05-26 09:06:11.000000,2020-11-11 08:39:09.000000,2020-11-11 08:39:08.000000,309.0,21.0,119.0,3632.0,556.0,2019-08-27 16:49:38.000000,0.12.0,23.0,A Python library for automating interaction with websites.,390.0,,41.0,26,https://pypi.org/project/MechanicalSoup,2019-08-27 16:49:38.000000,390.0,32912.0,34433.0,https://anaconda.org/conda-forge/mechanicalsoup,2019-08-29 17:40:39.007000,73029.0,True,3,39.0,,,,,,,,,,,,,,,,,,,,,,,,\n266,mlpack,mlpack/mlpack,mlpack,conda-forge/mlpack,,ml-frameworks,,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59.000000,2020-12-27 21:57:24.000000,2020-12-27 00:39:40.000000,1276.0,156.0,1173.0,3499.0,25637.0,2020-10-28 18:28:47.000000,3.4.2,40.0,mlpack: a scalable C++ machine learning library --.,,,260.0,26,https://pypi.org/project/mlpack,2020-10-28 18:28:47.000000,,355.0,2471.0,https://anaconda.org/conda-forge/mlpack,2020-10-29 09:35:18.918000,61369.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n267,sktime,alan-turing-institute/sktime,sktime,,,time-series-data,['sklearn'],https://github.com/alan-turing-institute/sktime,https://github.com/alan-turing-institute/sktime,BSD-3-Clause,2018-11-06 15:08:24.000000,2020-12-27 15:47:39.000000,2020-12-23 10:24:30.000000,388.0,104.0,193.0,3278.0,1512.0,2020-12-19 21:09:22.000000,0.5.0,10.0,A unified framework for machine learning with time series.,84.0,84.0,69.0,26,https://pypi.org/project/sktime,2020-12-19 21:09:22.000000,0.0,6229.0,6231.0,,,,True,1,41.0,,,,,,,,,,,,,,,,,,,,,,,,\n268,Perspective,finos/perspective,perspective-python,,,data-viz,['jupyter'],https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000000,2020-12-25 17:21:21.000000,2020-12-22 09:33:36.000000,327.0,63.0,286.0,3066.0,4258.0,2020-10-15 13:18:28.000000,0.5.6,38.0,Streaming pivot visualization via WebAssembly.,165.0,161.0,59.0,26,https://pypi.org/project/perspective-python,2020-10-15 13:18:28.000000,4.0,551.0,1573.0,,,,True,3,,,,,,,,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2020-10-15 12:44:46.020000,,1022.0,,,,,,,,,,,,\n269,yellowbrick,DistrictDataLabs/yellowbrick,yellowbrick,,,interpretability,['sklearn'],https://github.com/DistrictDataLabs/yellowbrick,https://github.com/DistrictDataLabs/yellowbrick,Apache-2.0,2016-05-18 14:12:17.000000,2020-12-23 20:12:47.000000,2020-11-01 16:41:28.000000,462.0,83.0,506.0,3045.0,829.0,2020-10-09 19:34:55.000000,1.2,19.0,Visual analysis and diagnostic tools to facilitate machine learning model selection.,62.0,,95.0,26,https://pypi.org/project/yellowbrick,2020-10-09 19:35:00.000000,62.0,62223.0,62223.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n270,textract,deanmalmgren/textract,textract,conda-forge/textract,,data-loading,,https://github.com/deanmalmgren/textract,https://github.com/deanmalmgren/textract,MIT,2014-07-03 20:36:59.000000,2020-12-21 14:04:27.000000,2019-11-14 08:37:39.000000,415.0,84.0,121.0,2921.0,556.0,2019-08-26 15:05:53.000000,1.6.3,15.0,extract text from any document. no muss. no fuss.,192.0,,30.0,26,https://pypi.org/project/textract,2019-08-26 15:05:53.000000,192.0,33292.0,33492.0,https://anaconda.org/conda-forge/textract,2017-03-20 21:15:33.254000,10240.0,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n271,Dagster,dagster-io/dagster,dagster,conda-forge/dagster,,data-pipelines,,https://github.com/dagster-io/dagster,https://github.com/dagster-io/dagster,Apache-2.0,2018-04-30 16:30:04.000000,2020-12-27 18:17:23.000000,2020-12-24 18:10:31.000000,248.0,596.0,1744.0,2450.0,6160.0,2020-12-11 04:26:56.000000,0.9.22.post0,224.0,\"A data orchestrator for machine learning, analytics, and ETL.\",133.0,129.0,107.0,26,https://pypi.org/project/dagster,2020-12-11 04:26:29.000000,4.0,26915.0,36148.0,https://anaconda.org/conda-forge/dagster,2020-12-04 14:42:14.711000,120030.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n272,gpustat,wookayin/gpustat,gpustat,conda-forge/gpustat,,gpu-utilities,,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43.000000,2020-11-24 19:59:04.772000,2020-05-19 04:45:47.000000,180.0,18.0,44.0,2151.0,165.0,2019-07-22 06:37:00.000000,0.6.0,10.0,A simple command-line utility for querying and monitoring GPU status.,585.0,527.0,10.0,26,https://pypi.org/project/gpustat,2019-07-22 06:17:48.000000,58.0,135746.0,136011.0,https://anaconda.org/conda-forge/gpustat,2020-11-24 19:59:04.772000,5579.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n273,Core ML Tools,apple/coremltools,coremltools,,,model-serialisation,,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000000,2020-12-21 03:46:41.000000,2020-12-17 20:40:42.000000,319.0,292.0,303.0,2038.0,849.0,2020-10-10 18:21:00.000000,4.0,27.0,\"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.\",569.0,436.0,107.0,26,https://pypi.org/project/coremltools,2020-10-10 18:16:12.000000,133.0,38036.0,38091.0,,,,True,2,2171.0,,,,,,,,,,,,,,,,,,,,,,,,\n274,Grab,lorien/grab,grab,,,web-scraping,,https://github.com/lorien/grab,https://github.com/lorien/grab,MIT,2013-05-01 08:10:22.000000,2020-12-10 19:43:05.000000,2020-12-08 03:50:03.000000,244.0,26.0,189.0,2024.0,2179.0,2018-06-24 14:27:52.000000,0.6.41,120.0,Web Scraping Framework.,399.0,299.0,65.0,26,https://pypi.org/project/grab,2018-06-24 14:27:52.000000,100.0,1699.0,1699.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n275,aubio,aubio/aubio,aubio,conda-forge/aubio,,audio,,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44.000000,2020-12-07 11:14:34.000000,2020-07-02 17:03:56.000000,291.0,102.0,171.0,1992.0,4109.0,2019-02-27 09:00:43.000000,0.4.9,10.0,a library for audio and music analysis.,214.0,198.0,24.0,26,https://pypi.org/project/aubio,2019-02-08 11:21:02.000000,16.0,1769.0,10114.0,https://anaconda.org/conda-forge/aubio,2020-10-13 12:09:18.538000,375534.0,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n276,BoTorch,pytorch/botorch,botorch,,,hyperopt,['pytorch'],https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000000,2020-12-27 20:36:22.000000,2020-12-23 17:40:43.000000,171.0,40.0,108.0,1789.0,790.0,2020-12-08 06:47:25.000000,0.3.3,16.0,Bayesian optimization in PyTorch.,70.0,70.0,49.0,26,https://pypi.org/project/botorch,2020-12-08 06:47:25.000000,0.0,28810.0,28810.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n277,PyFunctional,EntilZha/PyFunctional,pyfunctional,,,data-pipelines,,https://github.com/EntilZha/PyFunctional,https://github.com/EntilZha/PyFunctional,MIT,2015-02-05 17:17:51.000000,2020-12-28 01:13:37.000000,2020-12-16 20:36:13.000000,96.0,3.0,114.0,1751.0,514.0,2020-09-17 13:36:04.000000,1.4.2,13.0,Python library for creating data pipelines with chain functional programming.,245.0,245.0,22.0,26,https://pypi.org/project/pyfunctional,2020-09-17 13:36:04.000000,0.0,32421.0,32421.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n278,Foolbox,bethgelab/foolbox,foolbox,,,adversarial,,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48.000000,2020-12-20 18:06:33.000000,2020-12-20 18:05:23.000000,306.0,38.0,262.0,1748.0,1637.0,2020-09-26 06:49:13.000000,3.2.1,66.0,\"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.\",179.0,161.0,30.0,26,https://pypi.org/project/foolbox,2020-09-26 06:49:13.000000,18.0,1314.0,1314.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n279,facenet-pytorch,timesler/facenet-pytorch,facenet-pytorch,,,image,['pytorch'],https://github.com/timesler/facenet-pytorch,https://github.com/timesler/facenet-pytorch,MIT,2019-05-25 01:29:24.000000,2020-11-19 06:56:24.000000,2020-11-19 06:56:23.000000,366.0,22.0,84.0,1720.0,229.0,2020-11-19 06:49:36.000000,2.5.1,30.0,Pretrained Pytorch face detection (MTCNN) and recognition (InceptionResnet) models.,233.0,230.0,11.0,26,https://pypi.org/project/facenet-pytorch,2020-11-19 06:49:36.000000,3.0,4932.0,8773.0,,,,True,2,49935.0,,,,,,,,,,,,,,,,,,,,,,,,\n280,langid,saffsd/langid.py,langid,,,nlp,,https://github.com/saffsd/langid.py,https://github.com/saffsd/langid.py,BSD-3-Clause,2011-04-29 00:16:56.000000,2020-01-01 10:49:30.000000,2017-07-15 02:49:17.000000,265.0,25.0,45.0,1695.0,242.0,2016-04-05 22:34:15.000000,1.1.6,8.0,Stand-alone language identification system.,824.0,574.0,9.0,26,https://pypi.org/project/langid,2016-04-05 22:34:15.000000,250.0,500677.0,500677.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,,,\n281,efficientnet,qubvel/efficientnet,efficientnet,,,others,['tensorflow'],https://github.com/qubvel/efficientnet,https://github.com/qubvel/efficientnet,Apache-2.0,2019-05-30 20:21:09.000000,2020-12-10 07:02:58.000000,2020-09-15 16:19:36.000000,363.0,49.0,53.0,1632.0,64.0,2020-09-15 16:26:00.000000,1.1.1,9.0,Implementation of EfficientNet model. Keras and TensorFlow Keras.,468.0,466.0,8.0,26,https://pypi.org/project/efficientnet,2020-09-15 16:26:00.000000,2.0,80138.0,87213.0,,,,True,2,134434.0,,,,,,,,,,,,,,,,,,,,,,,,\n282,tslearn,tslearn-team/tslearn,tslearn,conda-forge/tslearn,,time-series-data,['sklearn'],https://github.com/tslearn-team/tslearn,https://github.com/tslearn-team/tslearn,BSD-2-Clause,2017-05-04 13:08:13.000000,2020-12-16 09:59:00.000000,2020-12-07 10:09:00.000000,209.0,52.0,159.0,1419.0,1525.0,2020-06-18 15:54:49.000000,0.4.1,90.0,A machine learning toolkit dedicated to time-series data.,180.0,169.0,27.0,26,https://pypi.org/project/tslearn,2020-06-18 16:13:01.000000,11.0,51501.0,56848.0,https://anaconda.org/conda-forge/tslearn,2020-06-19 05:46:30.651000,176467.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n283,tesserocr,sirfz/tesserocr,tesserocr,conda-forge/tesserocr,,ocr,,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36.000000,2020-11-17 19:55:51.000000,2020-11-17 19:55:36.000000,185.0,60.0,141.0,1370.0,151.0,2020-03-17 17:45:44.000000,2.5.1,15.0,A Python wrapper for the tesseract-ocr API.,486.0,436.0,23.0,26,https://pypi.org/project/tesserocr,2020-03-17 17:45:44.000000,50.0,30771.0,32985.0,https://anaconda.org/conda-forge/tesserocr,2020-10-14 10:27:18.734000,31005.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n284,AWS Data Wrangler,awslabs/aws-data-wrangler,awswrangler,,,db-clients,['pandas'],https://github.com/awslabs/aws-data-wrangler,https://github.com/awslabs/aws-data-wrangler,Apache-2.0,2019-02-26 01:39:02.000000,2020-12-23 00:05:46.000000,2020-12-22 23:59:03.000000,211.0,32.0,243.0,1307.0,1172.0,2020-12-23 00:05:46.000000,2.2.0,104.0,Pandas on AWS.,,,53.0,26,https://pypi.org/project/awswrangler,2020-12-22 23:58:01.000000,,497732.0,498857.0,,,,True,3,19130.0,,,,,,,,,,,,,,,,,,,,,,,,\n285,agate,wireservice/agate,agate,conda-forge/agate,,others,,https://github.com/wireservice/agate,https://github.com/wireservice/agate,MIT,2014-04-25 13:59:09.000000,2020-11-06 04:27:42.000000,2020-04-01 15:40:18.000000,132.0,54.0,588.0,1025.0,1355.0,2018-03-11 14:37:30.000000,1.6.1,24.0,A Python data analysis library that is optimized for humans instead of machines.,564.0,472.0,47.0,26,https://pypi.org/project/agate,2018-03-11 14:37:30.000000,92.0,163365.0,164645.0,https://anaconda.org/conda-forge/agate,2018-08-19 06:02:58.597000,58896.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n286,TF Model Optimization,tensorflow/model-optimization,tensorflow-model-optimization,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/model-optimization,https://github.com/tensorflow/model-optimization,Apache-2.0,2018-10-31 20:34:28.000000,2020-12-21 10:46:14.000000,2020-11-23 18:50:28.000000,207.0,70.0,87.0,938.0,459.0,2020-09-14 04:46:03.000000,0.5.0,20.0,\"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.\",495.0,492.0,41.0,26,https://pypi.org/project/tensorflow-model-optimization,2020-09-14 04:36:08.000000,3.0,58298.0,58298.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n287,petl,petl-developers/petl,petl,conda-forge/petl,http://petl.readthedocs.org,data-pipelines,,https://github.com/petl-developers/petl,https://github.com/petl-developers/petl,MIT,2011-08-19 09:51:03.000000,2020-12-24 15:13:37.000000,2020-12-24 15:13:37.000000,146.0,66.0,342.0,805.0,1104.0,2020-10-06 00:03:28.000000,1.6.8,74.0,Python Extract Transform and Load Tables of Data.,414.0,300.0,43.0,26,https://pypi.org/project/petl,2020-10-06 00:03:28.000000,114.0,14108.0,14477.0,https://anaconda.org/conda-forge/petl,2020-09-25 13:06:23.326000,18855.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n288,cx-Oracle,oracle/python-cx_Oracle,cx-Oracle,,,db-clients,,https://github.com/oracle/python-cx_Oracle,https://github.com/oracle/python-cx_Oracle,BSD-3-Clause,2017-03-07 04:03:36.000000,2020-12-21 22:01:10.000000,2020-12-21 22:01:01.000000,243.0,32.0,459.0,689.0,1076.0,2020-12-08 21:31:48.000000,8.1.0,32.0,Python interface to Oracle Database conforming to the Python DB API 2.0 specification.,144.0,,16.0,26,https://pypi.org/project/cx-Oracle,2020-12-08 21:31:48.000000,144.0,992103.0,992103.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n289,dask-ml,dask/dask-ml,dask-ml,conda-forge/dask-ml,,distributed-ml,,https://github.com/dask/dask-ml,https://github.com/dask/dask-ml,BSD-3-Clause,2017-06-15 15:56:06.000000,2020-12-26 22:53:24.000000,2020-11-25 22:14:17.000000,180.0,173.0,200.0,678.0,749.0,2020-09-24 19:34:38.000000,1.7.0,26.0,Scalable Machine Learning with Dask.,363.0,321.0,60.0,26,https://pypi.org/project/dask-ml,2020-09-24 19:34:38.000000,42.0,45517.0,50403.0,https://anaconda.org/conda-forge/dask-ml,2020-09-24 21:21:37.412000,185675.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n290,TensorFlow Text,tensorflow/text,tensorflow-text,,,nlp,['tensorflow'],https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000000,2020-12-23 23:30:58.000000,2020-12-22 19:55:51.000000,84.0,41.0,84.0,673.0,316.0,2020-12-23 03:10:06.000000,2.4.2,31.0,Making text a first-class citizen in TensorFlow.,387.0,383.0,30.0,26,https://pypi.org/project/tensorflow-text,2020-12-22 23:55:15.000000,4.0,145238.0,145238.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n291,empyrical,quantopian/empyrical,empyrical,conda-forge/empyrical,,financial-data,,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52.000000,2020-10-14 13:28:13.625000,2020-10-14 13:22:39.000000,210.0,27.0,26.0,669.0,167.0,2020-10-13 21:28:25.000000,0.5.5,20.0,Common financial risk and performance metrics. Used by zipline and pyfolio.,707.0,485.0,22.0,26,https://pypi.org/project/empyrical,2020-10-13 17:31:37.000000,222.0,17324.0,17583.0,https://anaconda.org/conda-forge/empyrical,2020-10-14 13:28:13.625000,8813.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n292,PyVista,pyvista/pyvista,pyvista,conda-forge/pyvista,,data-viz,['jupyter'],https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000000,2020-12-26 18:25:39.000000,2020-12-22 01:11:48.000000,132.0,114.0,261.0,629.0,2044.0,2020-12-10 16:30:09.000000,0.27.4,32.0,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,248.0,222.0,47.0,26,https://pypi.org/project/pyvista,2020-12-10 16:30:09.000000,26.0,8767.0,11463.0,https://anaconda.org/conda-forge/pyvista,2020-12-10 19:09:38.280000,51231.0,True,3,31.0,,,,,,,,,,,,,,,,,,,,,,,,\n293,zarr,zarr-developers/zarr-python,zarr,conda-forge/zarr,,data-containers,,https://github.com/zarr-developers/zarr-python,https://github.com/zarr-developers/zarr-python,MIT,2015-12-15 14:49:40.000000,2020-12-22 02:05:54.000000,2020-12-21 20:17:11.000000,102.0,176.0,228.0,610.0,1358.0,2020-10-06 19:59:05.000000,2.5.0,31.0,\"An implementation of chunked, compressed, N-dimensional arrays for Python.\",570.0,498.0,35.0,26,https://pypi.org/project/zarr,2020-12-02 18:33:13.000000,72.0,19780.0,28967.0,https://anaconda.org/conda-forge/zarr,2020-12-03 02:31:13.848000,505297.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n294,Mesh,tensorflow/mesh,mesh-tensorflow,,,distributed-ml,['tensorflow'],https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34.000000,2020-12-21 22:47:58.000000,2020-12-21 22:47:48.000000,113.0,72.0,12.0,602.0,568.0,2020-12-17 23:10:07.000000,0.1.18,24.0,Mesh TensorFlow: Model Parallelism Made Easier.,499.0,471.0,38.0,26,https://pypi.org/project/mesh-tensorflow,2020-12-17 23:10:07.000000,28.0,76701.0,76701.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n295,SMAC3,automl/SMAC3,smac,,,hyperopt,,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-3-Clause,2016-08-17 10:58:05.000000,2020-12-26 22:43:48.000000,2020-10-29 10:14:55.000000,153.0,76.0,250.0,545.0,1888.0,2020-10-29 10:57:56.000000,0.13.1,29.0,Sequential Model-based Algorithm Configuration.,58.0,,30.0,26,https://pypi.org/project/smac,2020-10-29 10:57:56.000000,58.0,9851.0,9851.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n296,mpi4py,mpi4py/mpi4py,mpi4py,conda-forge/mpi4py,,distributed-ml,,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-3-Clause,2013-09-05 14:44:25.000000,2020-12-22 10:29:02.000000,2020-12-22 10:28:24.000000,60.0,1.0,3.0,366.0,2173.0,2020-07-27 06:40:19.000000,3.0.3,13.0,Python bindings for MPI.,700.0,,13.0,26,https://pypi.org/project/mpi4py,2019-11-04 13:05:10.000000,700.0,161793.0,171413.0,https://anaconda.org/conda-forge/mpi4py,2020-11-21 20:04:30.722000,488660.0,True,2,197.0,,,,,,,,,,,,,,,,,,,,,,,,\n297,hvPlot,holoviz/hvplot,hvplot,conda-forge/hvplot,,data-viz,,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000000,2020-12-15 10:41:07.000000,2020-11-18 20:38:19.000000,49.0,97.0,214.0,332.0,360.0,2020-12-16 22:59:26.000000,0.7.0,9.0,\"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.\",422.0,407.0,22.0,26,https://pypi.org/project/hvplot,2020-06-02 00:27:18.000000,15.0,67580.0,69518.0,https://anaconda.org/conda-forge/hvplot,2020-06-02 12:42:36.071000,54270.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n298,cloudant,cloudant/python-cloudant,cloudant,conda-forge/cloudant,,db-clients,,https://github.com/cloudant/python-cloudant,https://github.com/cloudant/python-cloudant,Apache-2.0,2015-08-28 16:22:49.000000,2020-12-18 03:57:08.000000,2020-11-25 17:20:12.000000,45.0,39.0,240.0,157.0,802.0,2020-08-18 12:14:54.000000,2.14.0,46.0,A Python library for Cloudant and CouchDB.,1782.0,1248.0,27.0,26,https://pypi.org/project/cloudant,2020-08-18 11:22:22.000000,534.0,40512.0,41897.0,https://anaconda.org/conda-forge/cloudant,2019-05-18 03:07:25.357000,70640.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n299,MMDetection,open-mmlab/mmdetection,,,,image,['pytorch'],https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000000,2020-12-27 12:04:54.000000,2020-12-24 05:59:26.000000,4435.0,379.0,2827.0,13010.0,1367.0,2020-11-30 15:29:24.000000,2.7.0,7.0,OpenMMLab Detection Toolbox and Benchmark.,18.0,18.0,182.0,25,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n300,NuPIC,numenta/nupic,nupic,,,ml-frameworks,,https://github.com/numenta/nupic,https://github.com/numenta/nupic,AGPL-3.0,2013-04-05 23:14:27.000000,2020-12-11 19:56:36.000000,2019-10-23 20:45:07.000000,1585.0,456.0,1337.0,6190.0,6625.0,2018-06-01 15:37:54.000000,1.0.5,53.0,\"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..\",126.0,88.0,119.0,25,https://pypi.org/project/nupic,2018-06-01 15:37:54.000000,38.0,1611.0,1611.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n301,PyTorch Image Models,rwightman/pytorch-image-models,,,,image,['pytorch'],https://github.com/rwightman/pytorch-image-models,https://github.com/rwightman/pytorch-image-models,Apache-2.0,2019-02-02 05:51:12.000000,2020-12-24 20:04:24.000000,2020-12-19 05:28:47.000000,856.0,22.0,201.0,6108.0,636.0,2020-10-26 23:59:21.000000,0.1-itjx,12.0,\"PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2,..\",225.0,225.0,25.0,25,,,,,8007.0,,,,True,3,152148.0,,,,,,,,,,,,,,,,,,,,,,,,\n302,Trax,google/trax,trax,,,others,,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000000,2020-12-23 20:04:36.000000,2020-12-23 03:16:23.000000,507.0,53.0,98.0,5451.0,1224.0,2020-12-18 17:22:13.000000,1.3.7,20.0,Trax Deep Learning with Clear Code and Speed.,16.0,16.0,55.0,25,https://pypi.org/project/trax,2020-12-18 17:22:13.000000,,3285.0,3285.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n303,auto-sklearn,automl/auto-sklearn,auto-sklearn,,,hyperopt,['sklearn'],https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10.000000,2020-12-22 15:24:29.000000,2020-12-22 15:23:48.000000,965.0,119.0,551.0,5086.0,2399.0,2020-12-22 14:59:05.000000,0.12.1rc1,25.0,Automated Machine Learning with scikit-learn.,140.0,125.0,63.0,25,https://pypi.org/project/auto-sklearn,2020-12-22 15:24:29.000000,15.0,6914.0,6914.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n304,CleverHans,cleverhans-lab/cleverhans,cleverhans,,,adversarial,['tensorflow'],https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04.000000,2020-12-09 17:37:00.000000,2020-07-09 02:26:15.000000,1209.0,75.0,373.0,4865.0,3001.0,2018-11-27 17:36:15.000000,3.0.1,6.0,\"An adversarial example library for constructing attacks, building defenses, and benchmarking both.\",182.0,174.0,108.0,25,https://pypi.org/project/cleverhans,2018-11-27 17:36:15.000000,8.0,534.0,534.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n305,Milvus,milvus-io/milvus,pymilvus,,,nn-search,,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000000,2020-12-26 09:36:52.000000,2020-12-26 09:36:51.000000,740.0,227.0,1817.0,4816.0,6153.0,2020-12-03 09:00:58.000000,0.10.4,42.0,\"An open source embedding vector similarity search engine powered by Faiss, NMSLIB and Annoy.\",6.0,,140.0,25,https://pypi.org/project/pymilvus,2020-10-16 13:11:09.000000,6.0,5330.0,19225.0,,,,True,2,,,,milvusdb/milvus,https://hub.docker.com/r/milvusdb/milvus,2020-12-02 07:53:35.200908,8.0,208437.0,,,,,,,,,,,,,,,,,\n306,Augmentor,mdbloice/Augmentor,Augmentor,,,image,,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55.000000,2020-11-10 05:20:01.000000,2020-03-09 11:32:02.000000,777.0,115.0,67.0,4261.0,511.0,2020-01-17 11:59:53.000000,0.2.8,20.0,Image augmentation library in Python for machine learning.,312.0,270.0,22.0,25,https://pypi.org/project/Augmentor,2020-01-17 11:59:53.000000,42.0,2550.0,2550.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n307,BigDL,intel-analytics/BigDL,bigdl,,,distributed-ml,,https://github.com/intel-analytics/BigDL,https://github.com/intel-analytics/BigDL,Apache-2.0,2016-08-29 07:59:50.000000,2020-12-23 08:33:46.000000,2020-12-23 08:33:44.000000,899.0,180.0,726.0,3681.0,2657.0,2020-12-06 03:04:34.000000,0.12.1,36.0,BigDL: Distributed Deep Learning Framework for Apache Spark.,22.0,19.0,71.0,25,https://pypi.org/project/bigdl,2020-12-06 03:04:34.000000,3.0,1206.0,1206.0,,,,True,2,,,,,,,,,,,,,,,,,,,com.intel.analytics.bigdl:bigdl-SPARK_2.4,https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4,2020-12-05 03:54:47.000000,0.0,,,\n308,pyAudioAnalysis,tyiannak/pyAudioAnalysis,pyAudioAnalysis,,,audio,,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13.000000,2020-12-18 08:17:50.000000,2020-12-18 08:17:50.000000,922.0,158.0,103.0,3624.0,673.0,2020-09-29 21:30:02.000000,0.3.6,15.0,\"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.\",183.0,172.0,23.0,25,https://pypi.org/project/pyAudioAnalysis,2020-09-29 21:30:02.000000,11.0,7185.0,7185.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n309,pyfolio,quantopian/pyfolio,pyfolio,conda-forge/pyfolio,,financial-data,,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39.000000,2020-07-29 16:06:37.000000,2020-07-15 13:46:58.000000,1004.0,119.0,263.0,3328.0,1184.0,2019-04-15 14:54:03.000000,0.9.1,21.0,Portfolio and risk analytics in Python.,211.0,184.0,55.0,25,https://pypi.org/project/pyfolio,2019-04-15 14:54:03.000000,27.0,5494.0,5651.0,https://anaconda.org/conda-forge/pyfolio,2020-05-16 14:11:57.267000,5344.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n310,espnet,espnet/espnet,espnet,,,audio,,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000000,2020-12-27 17:45:08.000000,2020-12-27 15:19:55.000000,965.0,115.0,1012.0,3242.0,10248.0,2020-12-01 12:18:22.000000,0.9.6,31.0,End-to-End Speech Processing Toolkit.,3.0,3.0,134.0,25,https://pypi.org/project/espnet,2020-12-01 12:18:22.000000,,1232.0,1233.0,,,,True,3,59.0,,,,,,,,,,,,,,,,,,,,,,,,\n311,ftfy,LuminosoInsight/python-ftfy,ftfy,conda-forge/ftfy,,nlp,,https://github.com/LuminosoInsight/python-ftfy,https://github.com/LuminosoInsight/python-ftfy,MIT,2012-08-24 16:14:59.000000,2020-08-21 18:13:12.000000,2020-07-17 21:21:57.000000,98.0,14.0,92.0,2862.0,510.0,2020-02-18 16:42:00.000000,5.6.1,41.0,\"Fixes mojibake and other glitches in Unicode text, after the fact.\",3292.0,2532.0,17.0,25,https://pypi.org/project/ftfy,2020-07-20 21:50:51.000000,760.0,254395.0,256516.0,https://anaconda.org/conda-forge/ftfy,2019-02-03 00:23:45.610000,93341.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n312,AutoGluon,awslabs/autogluon,autogluon,,,hyperopt,['mxnet'],https://github.com/awslabs/autogluon,https://github.com/awslabs/autogluon,Apache-2.0,2019-07-29 18:51:24.000000,2020-12-27 23:15:16.000000,2020-12-25 20:27:52.000000,369.0,148.0,214.0,2845.0,447.0,2020-12-08 19:01:22.000000,0.0.15,277.0,\"AutoGluon: AutoML for Text, Image, and Tabular Data.\",42.0,42.0,50.0,25,https://pypi.org/project/autogluon,2020-12-26 09:20:53.000000,0.0,15916.0,15916.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n313,Chartify,spotify/chartify,chartify,conda-forge/chartify,,data-viz,,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05.000000,2020-12-25 03:48:39.000000,2020-11-02 22:11:04.000000,244.0,40.0,30.0,2796.0,186.0,2020-11-02 22:14:08.000000,3.0.3,16.0,Python library that makes it easy for data scientists to create charts.,57.0,52.0,19.0,25,https://pypi.org/project/chartify,2020-11-02 22:14:08.000000,5.0,8261.0,8722.0,https://anaconda.org/conda-forge/chartify,2020-11-07 19:52:50.628000,11546.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n314,nevergrad,facebookresearch/nevergrad,nevergrad,conda-forge/nevergrad,,hyperopt,,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000000,2020-12-27 14:26:50.000000,2020-12-25 21:10:49.000000,265.0,68.0,114.0,2767.0,732.0,2020-08-04 12:13:07.000000,0.4.2,25.0,A Python toolbox for performing gradient-free optimization.,121.0,107.0,40.0,25,https://pypi.org/project/nevergrad,2020-12-10 15:37:29.000000,14.0,7106.0,7782.0,https://anaconda.org/conda-forge/nevergrad,2020-12-14 18:21:29.267000,5411.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n315,Stable Baselines,hill-a/stable-baselines,stable-baselines,,,reinforcement-learning,,https://github.com/hill-a/stable-baselines,https://github.com/hill-a/stable-baselines,MIT,2018-07-02 14:28:59.000000,2020-12-23 16:27:10.000000,2020-12-23 16:27:08.000000,545.0,116.0,708.0,2729.0,835.0,2020-08-05 19:45:11.000000,2.10.1,30.0,\"A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.\",25.0,,110.0,25,https://pypi.org/project/stable-baselines,2020-08-05 19:42:14.000000,25.0,8908.0,8908.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n316,Pony,ponyorm/pony,pony,conda-forge/pony,,db-clients,,https://github.com/ponyorm/pony,https://github.com/ponyorm/pony,Apache-2.0,2013-02-08 04:56:00.000000,2020-12-24 12:38:50.000000,2020-11-23 17:42:03.000000,188.0,235.0,299.0,2406.0,,2020-11-23 19:13:28.000000,0.7.14,44.0,Pony Object Relational Mapper.,2160.0,1622.0,20.0,25,https://pypi.org/project/pony,2020-11-23 18:56:34.000000,538.0,20288.0,21203.0,https://anaconda.org/conda-forge/pony,2020-11-23 21:18:14.049000,43050.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n317,Neural Network Libraries,sony/nnabla,nnabla,,,ml-frameworks,,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10.000000,2020-12-24 02:44:34.000000,2020-12-23 08:27:56.000000,303.0,35.0,18.0,2390.0,2225.0,2020-12-24 02:44:34.000000,1.15.0,51.0,Neural Network Libraries.,34.0,,55.0,25,https://pypi.org/project/nnabla,2020-12-24 02:44:34.000000,34.0,3861.0,3873.0,,,,True,3,506.0,,,,,,,,,,,,,,,,,,,,,,,,\n318,Captum,pytorch/captum,captum,,,interpretability,['pytorch'],https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000000,2020-12-27 18:52:48.000000,2020-12-23 23:35:32.000000,191.0,44.0,124.0,2008.0,773.0,2020-11-13 23:52:08.000000,0.3.0,4.0,Model interpretability and understanding for PyTorch.,96.0,96.0,66.0,25,https://pypi.org/project/captum,2020-11-13 20:23:21.000000,,8024.0,8024.0,,,,True,2,,,,,,,,,,,,,,,,,,-1.0,,,,,,,\n319,fastNLP,fastnlp/fastNLP,fastnlp,,,nlp,,https://github.com/fastnlp/fastNLP,https://github.com/fastnlp/fastNLP,Apache-2.0,2018-03-07 13:30:20.000000,2020-12-16 10:04:23.000000,2020-11-23 10:50:37.000000,343.0,14.0,127.0,1937.0,1706.0,2020-11-06 15:31:29.000000,0.6.0,10.0,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,22.0,21.0,48.0,25,https://pypi.org/project/fastnlp,2019-02-04 02:35:37.000000,1.0,1266.0,1268.0,,,,True,2,54.0,,,,,,,,,,,,,,,,,,,,,,,,\n320,TextDistance,life4/textdistance,textdistance,conda-forge/textdistance,,nlp,,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10.000000,2020-11-10 18:38:06.222000,2020-04-13 10:34:26.000000,156.0,9.0,,1845.0,289.0,2020-04-13 10:17:59.000000,.4.2.0,20.0,\"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..\",301.0,273.0,7.0,25,https://pypi.org/project/textdistance,2020-04-13 09:59:27.000000,28.0,102924.0,103364.0,https://anaconda.org/conda-forge/textdistance,2020-11-10 18:38:06.222000,13602.0,True,2,96.0,,,,,,,,,,,,,,,,,,,,,,,,\n321,spark-nlp,JohnSnowLabs/spark-nlp,spark-nlp,,,nlp,['spark'],https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000000,2020-12-27 19:30:02.000000,2020-12-21 16:56:44.000000,387.0,80.0,312.0,1774.0,4744.0,2020-12-15 17:22:19.000000,2.6.5,70.0,State of the Art Natural Language Processing.,0.0,,71.0,25,https://pypi.org/project/spark-nlp,2020-12-15 17:14:39.000000,0.0,357128.0,357128.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n322,Jina,jina-ai/jina,jina,,,nlp,,https://github.com/jina-ai/jina,https://github.com/jina-ai/jina,Apache-2.0,2020-02-13 17:04:44.000000,2020-12-27 23:31:13.000000,2020-12-27 23:21:21.000000,298.0,42.0,499.0,1763.0,4268.0,2020-12-23 19:12:55.000000,0.8.14,102.0,An easier way to build neural search in the cloud.,41.0,41.0,74.0,25,https://pypi.org/project/jina,2020-12-27 23:20:47.000000,,1261.0,7568.0,,,,True,2,,,,jinaai/jina,https://hub.docker.com/r/jinaai/jina,2020-12-27 23:24:51.406160,,63078.0,,,,,,,,,,,,,,,,,\n323,polyglot,aboSamoor/polyglot,polyglot,,,nlp,,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,GPL-3.0,2014-06-30 02:07:45.000000,2020-10-27 10:55:53.000000,2020-09-22 22:35:28.000000,292.0,132.0,62.0,1735.0,271.0,2016-07-03 20:05:42.000000,16.7.4,8.0,Multilingual text (NLP) processing toolkit.,477.0,412.0,26.0,25,https://pypi.org/project/polyglot,2016-07-03 20:05:42.000000,65.0,42002.0,42002.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,,,\n324,StellarGraph,stellargraph/stellargraph,stellargraph,,,graph,['tensorflow'],https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51.000000,2020-12-20 18:59:43.000000,2020-07-21 04:03:09.000000,245.0,211.0,693.0,1693.0,2515.0,2020-06-30 05:15:21.000000,1.2.1,25.0,StellarGraph - Machine Learning on Graphs.,42.0,40.0,28.0,25,https://pypi.org/project/stellargraph,2020-06-25 09:38:56.000000,2.0,8295.0,8295.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n325,category_encoders,scikit-learn-contrib/category_encoders,category_encoders,conda-forge/category_encoders,,others,['sklearn'],https://github.com/scikit-learn-contrib/category_encoders,https://github.com/scikit-learn-contrib/category_encoders,BSD-3-Clause,2015-11-29 19:32:37.000000,2020-11-10 15:17:22.000000,2020-07-31 10:43:44.000000,292.0,62.0,133.0,1538.0,671.0,2020-04-29 02:09:51.000000,2.2.2,19.0,A library of sklearn compatible categorical variable encoders.,23.0,,34.0,25,https://pypi.org/project/category_encoders,2018-10-14 14:15:54.000000,23.0,347150.0,348859.0,https://anaconda.org/conda-forge/category_encoders,2020-04-29 22:37:35.948000,90623.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n326,Pythran,serge-sans-paille/pythran,pythran,conda-forge/pythran,,others,,https://github.com/serge-sans-paille/pythran,https://github.com/serge-sans-paille/pythran,BSD-3-Clause,2012-05-29 08:02:14.000000,2020-12-26 11:50:04.000000,2020-12-15 13:53:37.000000,134.0,99.0,534.0,1487.0,3295.0,2020-12-09 20:06:55.000000,0.9.8,44.0,Ahead of Time compiler for numeric kernels.,59.0,46.0,47.0,25,https://pypi.org/project/pythran,2020-12-11 23:02:35.000000,13.0,1158.0,5018.0,https://anaconda.org/conda-forge/pythran,2020-12-15 13:25:04.645000,119660.0,True,2,,,,,,,,,,,,,,,,,,,,,,,pythran,python-pythran,\n327,swifter,jmcarpenter2/swifter,swifter,conda-forge/swifter,,data-containers,['pandas'],https://github.com/jmcarpenter2/swifter,https://github.com/jmcarpenter2/swifter,MIT,2018-04-07 21:37:19.000000,2020-12-19 19:11:45.000000,2020-12-19 19:11:44.000000,68.0,13.0,76.0,1484.0,423.0,2020-10-11 22:42:57.000000,1.0.7,71.0,A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner.,284.0,268.0,14.0,25,https://pypi.org/project/swifter,2020-10-11 22:42:57.000000,16.0,52854.0,56483.0,https://anaconda.org/conda-forge/swifter,2020-09-20 15:08:56.885000,72599.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n328,streamparse,Parsely/streamparse,streamparse,,,data-pipelines,,https://github.com/Parsely/streamparse,https://github.com/Parsely/streamparse,Apache-2.0,2014-05-02 20:33:50.000000,2020-12-18 18:44:04.000000,2020-12-18 18:43:59.000000,219.0,69.0,263.0,1420.0,1059.0,2020-10-07 19:53:15.000000,4.0.0,47.0,\"Run Python in Apache Storm topologies. Pythonic API, CLI tooling, and a topology DSL.\",72.0,46.0,40.0,25,https://pypi.org/project/streamparse,2020-10-07 19:45:19.000000,26.0,1565.0,1565.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n329,chainercv,chainer/chainercv,chainercv,,,image,,https://github.com/chainer/chainercv,https://github.com/chainer/chainercv,MIT,2017-02-13 04:15:10.000000,2020-02-03 01:27:17.000000,2020-01-07 11:48:31.000000,318.0,54.0,168.0,1410.0,4930.0,2019-06-12 11:55:02.000000,0.13.1,23.0,ChainerCV: a Library for Deep Learning in Computer Vision.,234.0,210.0,39.0,25,https://pypi.org/project/chainercv,2019-05-31 08:53:39.000000,24.0,3735.0,3735.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n330,jellyfish,jamesturk/jellyfish,jellyfish,conda-forge/jellyfish,,nlp,,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,BSD-2-Clause,2010-07-09 20:41:11.000000,2020-12-08 01:19:02.000000,2020-12-08 01:18:57.000000,118.0,9.0,86.0,1380.0,,2020-05-21 20:37:01.000000,0.8.2,27.0,a python library for doing approximate and phonetic matching of strings.,2598.0,1952.0,19.0,25,https://pypi.org/project/jellyfish,2020-05-21 20:37:01.000000,646.0,794096.0,796159.0,https://anaconda.org/conda-forge/jellyfish,2020-10-10 13:37:43.217000,105250.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n331,Ax,facebook/Ax,ax-platform,,,hyperopt,['pytorch'],https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000000,2020-12-27 06:10:37.000000,2020-12-24 04:39:58.000000,137.0,32.0,169.0,1350.0,888.0,2020-12-08 19:07:48.000000,0.1.19,20.0,Adaptive Experimentation Platform.,118.0,114.0,89.0,25,https://pypi.org/project/ax-platform,2020-12-08 19:07:48.000000,4.0,17689.0,17689.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n332,TFX,tensorflow/tfx,tfx,,,data-pipelines,['tensorflow'],https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000000,2020-12-27 20:48:18.000000,2020-12-24 02:39:39.000000,366.0,200.0,300.0,1267.0,2977.0,2020-11-19 21:33:15.000000,0.25.0,37.0,TFX is an end-to-end platform for deploying production ML pipelines.,2.0,,96.0,25,https://pypi.org/project/tfx,2020-11-19 21:33:15.000000,2.0,66907.0,66907.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n333,haystack,deepset-ai/haystack,haystack,,,nlp,,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000000,2020-12-27 12:36:11.000000,2020-12-27 12:36:09.000000,209.0,53.0,337.0,1200.0,474.0,2020-12-17 06:53:05.000000,0.6.0,34.0,Transformers at scale for question answering & neural search. Using NLP via a modular Retriever-Reader-Pipeline...,97.0,23.0,28.0,25,https://pypi.org/project/haystack,2017-07-03 04:44:52.000000,74.0,4611.0,4611.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n334,ViZDoom,mwydmuch/ViZDoom,vizdoom,,,reinforcement-learning,,https://github.com/mwydmuch/ViZDoom,https://github.com/mwydmuch/ViZDoom,MIT,2015-06-26 18:38:23.000000,2020-12-16 10:27:24.000000,2020-12-16 10:26:56.000000,276.0,88.0,326.0,1144.0,1459.0,2020-10-29 15:54:47.000000,1.1.8,19.0,Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information.,108.0,96.0,43.0,25,https://pypi.org/project/vizdoom,2020-10-29 15:56:20.000000,12.0,388.0,567.0,,,,True,2,10245.0,,,,,,,,,,,,,,,,,,,,,,,,\n335,ArcGIS API,Esri/arcgis-python-api,arcgis,,,geospatial-data,,https://github.com/Esri/arcgis-python-api,https://github.com/Esri/arcgis-python-api,Apache-2.0,2016-03-16 01:09:14.000000,2020-12-23 17:01:44.000000,2020-12-18 15:18:27.000000,676.0,125.0,185.0,927.0,2857.0,2020-12-15 21:49:37.000000,1.8.3,25.0,Documentation and samples for ArcGIS API for Python.,10.0,,60.0,25,https://pypi.org/project/arcgis,2020-11-30 16:13:47.000000,10.0,13733.0,13796.0,,,,True,3,,,,esridocker/arcgis-api-python-notebook,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,2020-03-06 00:53:45.164342,29.0,3599.0,,,,,,,,,,,,,,,,,\n336,kmodes,nicodv/kmodes,kmodes,,,others,,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40.000000,2020-11-04 05:52:59.000000,2020-11-04 05:52:58.000000,335.0,19.0,106.0,787.0,448.0,2020-02-25 21:38:29.000000,0.10.2,12.0,\"Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data.\",401.0,388.0,16.0,25,https://pypi.org/project/kmodes,2020-02-25 21:30:28.000000,13.0,60974.0,60974.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n337,Satpy,pytroll/satpy,satpy,conda-forge/satpy,,geospatial-data,,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000000,2020-12-23 21:50:32.000000,2020-12-23 21:50:31.000000,190.0,303.0,282.0,656.0,8106.0,2020-11-16 09:48:15.000000,0.24.0,61.0,Python package for earth-observing satellite data processing.,43.0,37.0,102.0,25,https://pypi.org/project/satpy,2020-11-16 09:48:15.000000,6.0,534.0,2293.0,https://anaconda.org/conda-forge/satpy,2020-11-16 12:26:04.352000,51035.0,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n338,CLTK,cltk/cltk,cltk,,,nlp,,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000000,2020-12-18 18:15:03.000000,2020-12-18 18:15:02.000000,295.0,126.0,357.0,626.0,2771.0,2020-06-22 06:03:33.000000,0.1.121,159.0,The Classical Language Toolkit.,215.0,147.0,107.0,25,https://pypi.org/project/cltk,2020-12-03 17:29:28.000000,68.0,1292.0,1292.0,,,,True,2,22.0,,,,,,,,,,,,,,,,,,,,,,,,\n339,micawber,coleifer/micawber,micawber,,,web-scraping,,https://github.com/coleifer/micawber,https://github.com/coleifer/micawber,MIT,2012-03-27 21:42:46.000000,2020-12-18 12:01:44.000000,2020-12-18 12:01:43.000000,78.0,,52.0,512.0,192.0,2020-12-17 15:44:56.000000,0.5.2,22.0,a small library for extracting rich content from urls.,856.0,484.0,26.0,25,https://pypi.org/project/micawber,2020-12-17 15:44:56.000000,372.0,4069.0,4069.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n340,TensorFlow I/O,tensorflow/io,tensorflow-io,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05.000000,2020-12-27 19:13:30.000000,2020-12-27 19:13:28.000000,143.0,118.0,259.0,395.0,1322.0,2020-12-15 00:45:37.000000,0.17.0,21.0,\"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.\",85.0,85.0,70.0,25,https://pypi.org/project/tensorflow-io,2020-12-15 00:42:35.000000,0.0,36057.0,36057.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n341,python-soundfile,bastibe/python-soundfile,soundfile,,,audio,,https://github.com/bastibe/python-soundfile,https://github.com/bastibe/python-soundfile,BSD-3-Clause,2013-08-27 13:36:52.000000,2020-12-02 15:07:22.000000,2020-12-01 18:42:47.000000,40.0,56.0,83.0,347.0,493.0,2019-12-04 10:03:39.000000,0.10.3post1,7.0,\"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.\",5814.0,5074.0,19.0,25,https://pypi.org/project/soundfile,2018-04-19 07:13:19.000000,740.0,339335.0,339359.0,,,,True,3,1975.0,,,,,,,,,,,,,,,,,,,,,,,,\n342,Altair,ellisonbg/altair,altair,conda-forge/altair,,data-viz,,https://github.com/ellisonbg/altair,https://github.com/ellisonbg/altair,BSD-3-Clause,2016-07-11 22:34:25.761000,2020-04-01 16:49:36.519000,2018-05-18 19:10:50.000000,19.0,,,244.0,1802.0,2020-04-01 13:23:10.000000,4.1.0,26.0,Declarative statistical visualization library for Python.,370.0,,50.0,25,https://pypi.org/project/altair,2020-04-01 13:23:10.000000,370.0,659092.0,669813.0,https://anaconda.org/conda-forge/altair,2020-04-01 16:49:36.519000,568233.0,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n343,ml-metadata,google/ml-metadata,ml-metadata,,,ml-experiments,,https://github.com/google/ml-metadata,https://github.com/google/ml-metadata,Apache-2.0,2019-01-15 21:02:09.000000,2020-12-16 21:22:19.000000,2020-12-16 21:22:13.000000,56.0,16.0,36.0,213.0,449.0,2020-12-15 18:49:42.000000,0.26.0,21.0,For recording and retrieving metadata associated with ML developer and data scientist workflows.,60.0,60.0,11.0,25,https://pypi.org/project/ml-metadata,2020-12-15 18:49:42.000000,0.0,614813.0,614868.0,,,,True,3,1171.0,,,,,,,,,,,,,,,,,,,,,,,,\n344,pysc2,deepmind/pysc2,pysc2,,,others,,https://github.com/deepmind/pysc2,https://github.com/deepmind/pysc2,Apache-2.0,2017-07-25 18:16:57.000000,2020-07-29 16:22:31.000000,2019-09-27 15:23:22.000000,1058.0,47.0,202.0,7131.0,513.0,2019-09-27 15:48:01.000000,3.0.0,7.0,StarCraft II Learning Environment.,233.0,213.0,34.0,24,https://pypi.org/project/pysc2,2019-09-27 15:48:01.000000,20.0,702.0,1334.0,,,,False,2,25286.0,,,,,,,,,,,,,,,,,,,,,,,,\n345,ParlAI,facebookresearch/ParlAI,parlai,,,nlp,['pytorch'],https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44.000000,2020-12-27 21:02:27.000000,2020-12-27 03:21:09.000000,1373.0,111.0,798.0,6856.0,3557.0,2020-12-16 23:15:51.000000,0.10.0,12.0,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,5.0,5.0,135.0,24,https://pypi.org/project/parlai,2020-12-16 23:15:51.000000,,778.0,778.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n346,Facets Overview,pair-code/facets,facets-overview,,,data-viz,['jupyter'],https://github.com/PAIR-code/facets,https://github.com/PAIR-code/facets,Apache-2.0,2017-07-07 14:03:03.000000,2020-10-27 19:51:23.000000,2020-10-27 19:51:22.000000,786.0,70.0,75.0,6432.0,259.0,2019-07-24 15:33:29.000000,0.9.1,4.0,Visualizations for machine learning datasets.,35.0,35.0,27.0,24,https://pypi.org/project/facets-overview,2019-07-24 15:33:29.000000,,22612.0,22612.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n347,PyText,facebookresearch/pytext,pytext-nlp,,,nlp,['pytorch'],https://github.com/facebookresearch/pytext,https://github.com/facebookresearch/pytext,BSD-3-Clause,2018-07-31 23:40:46.000000,2020-12-22 01:28:05.000000,2020-12-22 01:27:57.000000,758.0,115.0,74.0,6098.0,1336.0,2020-06-08 23:30:58.000000,0.3.3,12.0,A natural language modeling framework based on PyTorch.,53.0,52.0,147.0,24,https://pypi.org/project/pytext-nlp,2020-04-27 08:09:25.000000,1.0,349.0,357.0,,,,True,3,209.0,,,,,,,,,,,,,,,,,,,,,,,,\n348,EfficientNet-PyTorch,lukemelas/EfficientNet-PyTorch,efficientnet-pytorch,,,pytorch-utils,['pytorch'],https://github.com/lukemelas/EfficientNet-PyTorch,https://github.com/lukemelas/EfficientNet-PyTorch,Apache-2.0,2019-05-30 05:24:11.000000,2020-12-20 15:23:55.000000,2020-10-09 16:24:04.000000,1020.0,99.0,116.0,5251.0,141.0,2020-08-26 03:00:05.000000,0.7.0,12.0,A PyTorch implementation of EfficientNet.,7.0,,21.0,24,https://pypi.org/project/efficientnet-pytorch,2020-08-26 03:00:05.000000,7.0,31860.0,62378.0,,,,True,1,274666.0,,,,,,,,,,,,,,,,,,,,,,,,\n349,mmdnn,Microsoft/MMdnn,mmdnn,,,model-serialisation,,https://github.com/microsoft/MMdnn,https://github.com/microsoft/MMdnn,MIT,2017-08-16 08:03:52.000000,2020-10-22 09:57:53.000000,2020-08-14 02:32:30.000000,921.0,306.0,283.0,5138.0,1083.0,2020-07-24 06:34:39.000000,0.3.1,12.0,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,50.0,47.0,85.0,24,https://pypi.org/project/mmdnn,2020-07-24 06:34:39.000000,3.0,713.0,801.0,,,,True,2,3264.0,,,,,,,,,,,,,,,,,,,,,,,,\n350,stanza,stanfordnlp/stanza,stanza,stanfordnlp/stanza,,nlp,,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56.000000,2020-12-23 17:51:29.000000,2020-08-13 23:07:54.000000,619.0,73.0,350.0,4993.0,1514.0,2020-08-13 06:26:20.000000,1.1.1,9.0,Official Stanford NLP Python Library for Many Human Languages.,2.0,,28.0,24,https://pypi.org/project/stanza,2020-08-13 06:08:07.000000,2.0,13993.0,14312.0,https://anaconda.org/stanfordnlp/stanza,2020-08-13 06:22:54.550000,2876.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n351,Edward,blei-lab/edward,edward,,,probabilistics,['tensorflow'],https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05.000000,2019-10-22 20:30:48.000000,2018-07-25 01:28:08.000000,767.0,212.0,327.0,4585.0,1796.0,2018-01-22 06:03:37.000000,1.3.5,28.0,\"A probabilistic programming language in TensorFlow. Deep generative models, variational inference.\",240.0,203.0,87.0,24,https://pypi.org/project/edward,2018-01-22 06:03:05.000000,37.0,1044.0,1044.0,,,,False,3,10.0,,,,,,,,,,,,,,,,,,,,,,,,\n352,PyTorch3D,facebookresearch/pytorch3d,pytorch3d,pytorch3d/pytorch3d,,image,['pytorch'],https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,MIT,2019-10-25 02:23:45.000000,2020-12-27 21:14:54.000000,2020-12-27 21:14:42.000000,454.0,56.0,389.0,4150.0,335.0,2020-11-12 10:28:29.000000,0.3.0,6.0,PyTorch3D is FAIR's library of reusable components for deep learning with 3D data.,38.0,38.0,50.0,24,https://pypi.org/project/pytorch3d,2020-11-12 10:28:29.000000,,4635.0,5034.0,https://anaconda.org/pytorch3d/pytorch3d,2020-11-12 10:28:27.832000,5192.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n353,Lucid,tensorflow/lucid,lucid,,,interpretability,['tensorflow'],https://github.com/tensorflow/lucid,https://github.com/tensorflow/lucid,Apache-2.0,2018-01-25 17:41:44.000000,2020-12-14 12:53:11.000000,2020-11-24 20:56:27.000000,546.0,67.0,93.0,4011.0,632.0,2019-01-17 19:46:43.000000,0.3.9-alpha,16.0,A collection of infrastructure and tools for research in neural network interpretability.,380.0,374.0,34.0,24,https://pypi.org/project/lucid,2018-12-20 00:26:11.000000,6.0,608.0,608.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n354,TensorFlowOnSpark,yahoo/TensorFlowOnSpark,tensorflowonspark,,,distributed-ml,\"['tensorflow', 'spark']\",https://github.com/yahoo/TensorFlowOnSpark,https://github.com/yahoo/TensorFlowOnSpark,Apache-2.0,2017-01-20 18:15:57.000000,2020-12-23 22:10:27.000000,2020-12-21 19:10:28.000000,928.0,6.0,336.0,3607.0,589.0,2020-12-18 21:57:51.000000,2.2.2,29.0,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,5.0,,33.0,24,https://pypi.org/project/tensorflowonspark,2020-12-18 18:32:09.000000,5.0,34585.0,34585.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n355,torchdiffeq,rtqichen/torchdiffeq,torchdiffeq,,,pytorch-utils,['pytorch'],https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25.000000,2020-12-24 19:36:04.000000,2020-12-24 19:36:03.000000,551.0,21.0,95.0,3284.0,189.0,2020-09-16 23:32:05.000000,0.1.1,3.0,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,53.0,53.0,20.0,24,https://pypi.org/project/torchdiffeq,2020-09-16 23:32:05.000000,,1845.0,1845.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n356,T5,google-research/text-to-text-transfer-transformer,t5,,,nlp,['tensorflow'],https://github.com/google-research/text-to-text-transfer-transformer,https://github.com/google-research/text-to-text-transfer-transformer,Apache-2.0,2019-10-17 21:45:14.000000,2020-12-27 19:37:15.000000,2020-12-23 14:48:56.000000,407.0,38.0,274.0,3074.0,374.0,2020-12-18 21:12:02.000000,0.8.1,25.0,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,18.0,18.0,28.0,24,https://pypi.org/project/t5,2020-12-18 21:12:02.000000,0.0,6019.0,6019.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n357,Camelot,atlanhq/camelot,camelot-py,,,data-loading,,https://github.com/atlanhq/camelot,https://github.com/atlanhq/camelot,MIT,2016-06-18 11:48:49.000000,2020-07-27 12:28:15.000000,2019-10-15 05:25:40.000000,300.0,61.0,273.0,2959.0,446.0,2020-07-27 12:28:15.000000,0.8.2,21.0,Camelot: PDF Table Extraction for Humans.,10.0,,23.0,24,https://pypi.org/project/camelot-py,2020-07-27 12:28:15.000000,10.0,26944.0,26944.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n358,pytorch-summary,sksq96/pytorch-summary,torchsummary,,,pytorch-utils,['pytorch'],https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04.000000,2020-09-11 22:33:42.000000,2020-08-07 01:16:40.000000,333.0,100.0,36.0,2830.0,56.0,2018-09-26 05:07:28.000000,1.5.1,12.0,Model summary in PyTorch similar to `model.summary()` in Keras.,1797.0,1679.0,11.0,24,https://pypi.org/project/torchsummary,2018-09-26 05:07:28.000000,118.0,29122.0,29122.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n359,TensorForce,tensorforce/tensorforce,tensorforce,,,reinforcement-learning,['tensorflow'],https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22.000000,2020-12-22 14:02:01.000000,2020-12-22 14:01:55.000000,472.0,9.0,536.0,2825.0,2010.0,2020-10-03 16:00:39.000000,0.6.2,12.0,Tensorforce: a TensorFlow library for applied reinforcement learning.,23.0,,76.0,24,https://pypi.org/project/tensorforce,2019-09-07 13:56:18.000000,23.0,902.0,902.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n360,xLearn,aksnzhy/xlearn,xlearn,,,ml-frameworks,,https://github.com/aksnzhy/xlearn,https://github.com/aksnzhy/xlearn,Apache-2.0,2017-06-10 08:09:31.000000,2020-07-06 19:54:25.000000,2020-03-03 10:12:35.000000,479.0,176.0,107.0,2810.0,1340.0,2019-04-25 02:10:05.000000,0.4.4,15.0,\"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..\",39.0,38.0,30.0,24,https://pypi.org/project/xlearn,2018-12-04 11:05:06.000000,1.0,9102.0,9168.0,,,,True,3,2201.0,,,,,,,,,,,,,,,,,,,,,,,,\n361,DeepChem,deepchem/deepchem,deepchem,,,others,['tensorflow'],https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000000,2020-12-27 09:35:43.000000,2020-12-22 22:34:33.000000,885.0,324.0,837.0,2608.0,5998.0,2019-10-11 01:49:20.000000,2.3.0,187.0,\"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.\",36.0,32.0,143.0,24,https://pypi.org/project/deepchem,2020-12-22 22:37:35.000000,4.0,2060.0,2060.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n362,DoWhy,Microsoft/dowhy,dowhy,conda-forge/dowhy,,interpretability,,https://github.com/microsoft/dowhy,https://github.com/microsoft/dowhy,MIT,2018-05-31 13:07:04.000000,2020-12-24 16:07:22.000000,2020-12-24 16:07:21.000000,353.0,13.0,77.0,2551.0,418.0,2020-12-12 15:26:03.000000,0.5.1,5.0,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,23.0,23.0,37.0,24,https://pypi.org/project/dowhy,2020-12-12 15:26:03.000000,,7910.0,8028.0,https://anaconda.org/conda-forge/dowhy,2020-12-13 07:46:12.761000,819.0,True,2,17.0,,,,,,,,,,,,,,,,,,,,,,,,\n363,Sumy,miso-belica/sumy,sumy,,,nlp,,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48.000000,2020-11-21 17:08:35.000000,2020-11-21 17:08:33.000000,432.0,10.0,78.0,2445.0,397.0,2019-05-19 14:39:21.000000,0.8.1,13.0,Module for automatic summarization of text documents and HTML pages.,807.0,615.0,20.0,24,https://pypi.org/project/sumy,2019-05-19 14:38:29.000000,192.0,7494.0,7494.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n364,Arctic,man-group/arctic,arctic,conda-forge/arctic,,data-containers,,https://github.com/man-group/arctic,https://github.com/man-group/arctic,LGPL-2.1,2015-05-29 13:37:30.000000,2020-12-02 16:19:11.000000,2020-12-02 16:19:07.000000,428.0,84.0,420.0,2121.0,1065.0,2020-12-01 23:17:26.000000,1.79.4,83.0,Arctic is a high performance datastore for numeric data.,143.0,101.0,69.0,24,https://pypi.org/project/arctic,2020-12-01 23:16:12.000000,42.0,2789.0,3420.0,https://anaconda.org/conda-forge/arctic,2019-12-16 08:57:24.231000,11984.0,False,3,85.0,,,,,,,,,,,,,,,,,,,,,,,,\n365,Hyperas,maxpumperla/hyperas,hyperas,,,hyperopt,['tensorflow'],https://github.com/maxpumperla/hyperas,https://github.com/maxpumperla/hyperas,MIT,2016-02-19 14:45:10.000000,2020-12-22 08:31:48.000000,2020-12-22 08:31:47.000000,296.0,88.0,158.0,2056.0,209.0,2019-02-28 09:16:54.000000,0.4.1,9.0,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,21.0,,21.0,24,https://pypi.org/project/hyperas,2019-02-28 09:16:54.000000,21.0,14170.0,14170.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n366,SRU,asappresearch/sru,sru,,,pytorch-utils,['pytorch'],https://github.com/asappresearch/sru,https://github.com/asappresearch/sru,MIT,2017-08-28 20:37:41.000000,2020-12-17 19:41:19.000000,2020-12-17 19:36:53.000000,279.0,48.0,53.0,1857.0,378.0,2020-12-17 19:40:55.000000,2.6.0-rc1,21.0,Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755).,16.0,15.0,21.0,24,https://pypi.org/project/sru,2020-12-17 19:41:19.000000,1.0,2747.0,2747.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,,\n367,mongo-connector,yougov/mongo-connector,mongo-connector,,,db-clients,,https://github.com/yougov/mongo-connector,https://github.com/yougov/mongo-connector,Apache-2.0,2012-08-09 23:39:36.000000,2020-08-03 08:07:40.000000,2018-12-05 18:23:06.000000,454.0,226.0,504.0,1757.0,1112.0,2018-12-05 19:18:21.000000,3.1.1,51.0,MongoDB data stream pipeline tools by YouGov (adopted from MongoDB).,119.0,90.0,62.0,24,https://pypi.org/project/mongo-connector,2018-12-05 19:18:21.000000,29.0,2855.0,2855.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n368,Alphalens,quantopian/alphalens,alphalens,conda-forge/alphalens,,financial-data,,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15.000000,2020-09-05 16:48:14.000000,2020-04-27 18:40:41.000000,603.0,38.0,144.0,1670.0,522.0,2020-04-30 15:42:52.000000,0.4.0,10.0,Performance analysis of predictive (alpha) stock factors.,356.0,342.0,25.0,24,https://pypi.org/project/alphalens,2020-04-27 21:03:10.000000,14.0,1656.0,1953.0,https://anaconda.org/conda-forge/alphalens,2020-05-16 13:52:44.922000,10108.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n369,pgmpy,pgmpy/pgmpy,pgmpy,,,probabilistics,,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000000,2020-12-19 13:39:09.000000,2020-12-19 13:39:08.000000,541.0,225.0,485.0,1656.0,6.0,2020-09-30 14:12:15.000000,0.1.12,10.0,Python Library for learning (Structure and Parameter) and inference (Statistical and Causal) in Bayesian Networks.,178.0,172.0,88.0,24,https://pypi.org/project/pgmpy,2020-06-30 12:59:43.000000,6.0,20624.0,20630.0,,,,True,3,37.0,,,,,,,,,,,,,,,,,,,,,,,,\n370,HyperTools,ContextLab/hypertools,hypertools,,,data-viz,,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25.000000,2020-10-29 02:47:18.000000,2020-10-02 21:09:56.000000,151.0,69.0,120.0,1599.0,1565.0,2020-10-02 21:38:16.000000,0.6.3,19.0,A Python toolbox for gaining geometric insights into high-dimensional data.,99.0,90.0,20.0,24,https://pypi.org/project/hypertools,2020-10-02 21:41:53.000000,9.0,487.0,487.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n371,TorchServe,pytorch/serve,torchserve,pytorch/torchserve,,model-serialisation,['pytorch'],https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000000,2020-12-25 01:18:51.000000,2020-12-24 17:08:51.000000,213.0,130.0,389.0,1471.0,1034.0,2020-12-18 01:38:41.000000,0.3.0,6.0,Model Serving on PyTorch.,24.0,24.0,61.0,24,https://pypi.org/project/torchserve,2020-12-17 19:04:04.000000,,1458.0,3178.0,https://anaconda.org/pytorch/torchserve,2020-12-17 18:30:12.593000,5471.0,True,2,137.0,,,pytorch/torchserve,https://hub.docker.com/r/pytorch/torchserve,2020-12-18 18:32:51.570336,3.0,14281.0,,,,,,,,,,,,,,,,,\n372,PyTextRank,DerwenAI/pytextrank,pytextrank,,,nlp,,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000000,2020-11-18 14:09:32.000000,2020-09-21 19:22:46.000000,280.0,15.0,37.0,1374.0,147.0,2020-09-15 16:51:59.000000,2.0.3,10.0,Python implementation of TextRank for phrase extraction and summarization of text documents.,125.0,119.0,10.0,24,https://pypi.org/project/pytextrank,2020-09-15 16:51:59.000000,6.0,11587.0,11587.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n373,mtcnn,ipazc/mtcnn,mtcnn,,,image,['tensorflow'],https://github.com/ipazc/mtcnn,https://github.com/ipazc/mtcnn,MIT,2018-01-05 04:08:32.000000,2020-12-13 18:20:00.000000,2020-06-07 23:21:01.000000,363.0,51.0,36.0,1328.0,52.0,2019-11-14 17:37:05.000000,0.1.0,10.0,\"MTCNN face detection implementation for TensorFlow, as a PIP package.\",798.0,777.0,13.0,24,https://pypi.org/project/mtcnn,2019-11-14 17:37:05.000000,21.0,13501.0,13501.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n374,TNT,pytorch/tnt,torchnet,,,ml-experiments,['pytorch'],https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58.000000,2020-01-15 16:00:31.000000,2020-01-15 16:00:30.000000,182.0,30.0,34.0,1263.0,155.0,2019-11-15 12:57:59.000000,0.0.5.1,3.0,\"Simple tools for logging and visualizing, loading and training.\",552.0,502.0,34.0,24,https://pypi.org/project/torchnet,2018-07-29 23:16:03.000000,50.0,9860.0,9860.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n375,Fairness 360,Trusted-AI/AIF360,aif360,,,interpretability,,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15.000000,2020-12-23 17:28:49.000000,2020-10-28 02:10:25.000000,379.0,35.0,46.0,1170.0,288.0,2020-06-02 22:59:53.000000,0.3.0,8.0,\"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..\",62.0,60.0,40.0,24,https://pypi.org/project/aif360,2020-06-02 22:49:24.000000,2.0,3150.0,3150.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n376,IB-insync,erdewit/ib_insync,ib_insync,conda-forge/ib-insync,,financial-data,,https://github.com/erdewit/ib_insync,https://github.com/erdewit/ib_insync,BSD-2-Clause,2017-07-12 12:09:24.000000,2020-12-13 10:15:17.000000,2020-12-13 10:15:02.000000,372.0,3.0,273.0,1156.0,544.0,2020-11-03 13:37:57.000000,0.9.64,89.0,Python sync/async framework for Interactive Brokers API.,12.0,,25.0,24,https://pypi.org/project/ib_insync,2020-11-03 13:37:57.000000,12.0,3149.0,3555.0,https://anaconda.org/conda-forge/ib-insync,2020-11-07 23:30:42.910000,6913.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n377,TextAttack,QData/TextAttack,textattack,,,adversarial,,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000000,2020-12-27 05:23:02.000000,2020-12-27 05:16:10.000000,123.0,29.0,72.0,1147.0,1899.0,2020-12-27 05:23:02.000000,0.2.15,35.0,\"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP.\",11.0,11.0,30.0,24,https://pypi.org/project/textattack,2020-12-27 05:23:02.000000,0.0,1304.0,1304.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n378,Optimus,ironmussa/Optimus,optimuspyspark,,,data-pipelines,['spark'],https://github.com/ironmussa/Optimus,https://github.com/ironmussa/Optimus,Apache-2.0,2017-07-13 02:31:18.000000,2020-12-26 21:20:58.000000,2020-11-19 14:04:43.000000,189.0,139.0,165.0,963.0,3520.0,2020-07-19 03:05:40.000000,2.2.32,85.0,\"Agile Data Preparation Workflows madeeasy with dask, cudf, dask_cudf and pyspark.\",11.0,11.0,21.0,24,https://pypi.org/project/optimuspyspark,2019-05-30 02:22:54.000000,,7625.0,7625.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n379,Streamz,python-streamz/streamz,streamz,conda-forge/streamz,,time-series-data,,https://github.com/python-streamz/streamz,https://github.com/python-streamz/streamz,BSD-3-Clause,2017-04-04 21:45:49.000000,2020-12-10 21:50:53.000000,2020-12-10 21:02:45.000000,110.0,89.0,125.0,894.0,723.0,2020-11-02 14:53:29.000000,0.6.1,14.0,Real-time stream processing for python.,196.0,180.0,38.0,24,https://pypi.org/project/streamz,2020-11-02 14:53:29.000000,16.0,2673.0,5215.0,https://anaconda.org/conda-forge/streamz,2020-11-03 14:52:05.793000,99170.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n380,PySAL,pysal/pysal,pysal,conda-forge/pysal,,geospatial-data,,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42.000000,2020-08-01 00:57:58.000000,2020-08-01 00:57:56.000000,241.0,58.0,569.0,801.0,4067.0,2020-07-30 03:12:31.000000,2.3.0,24.0,PySAL: Python Spatial Analysis Library Meta-Package.,18.0,,69.0,24,https://pypi.org/project/pysal,2020-07-30 03:12:31.000000,18.0,10988.0,18426.0,https://anaconda.org/conda-forge/pysal,2020-07-30 10:24:58.290000,394241.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n381,SciSpacy,allenai/scispacy,scispacy,,,nlp,,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52.000000,2020-12-27 20:35:03.000000,2020-11-10 19:32:41.000000,115.0,17.0,121.0,765.0,786.0,2020-10-16 17:13:40.000000,0.3.0,9.0,A full spaCy pipeline and models for scientific/biomedical documents.,203.0,191.0,14.0,24,https://pypi.org/project/scispacy,2020-10-16 17:13:40.000000,12.0,8751.0,8751.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n382,ffn,pmorissette/ffn,ffn,,,financial-data,,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09.000000,2020-12-24 03:15:18.000000,2020-12-18 01:00:27.000000,171.0,16.0,57.0,727.0,301.0,2018-05-28 14:01:56.000000,0.3.4,25.0,ffn - a financial function library for Python.,110.0,94.0,23.0,24,https://pypi.org/project/ffn,2018-05-28 14:01:56.000000,16.0,11471.0,11471.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n383,GPyOpt,SheffieldML/GPyOpt,gpyopt,,,hyperopt,,https://github.com/SheffieldML/GPyOpt,https://github.com/SheffieldML/GPyOpt,BSD-3-Clause,2014-08-13 09:58:25.000000,2020-11-17 10:32:02.000000,2020-11-05 15:16:04.000000,214.0,100.0,186.0,700.0,514.0,2020-03-19 21:21:18.000000,1.2.6,11.0,Gaussian Process Optimization using GPy.,197.0,161.0,49.0,24,https://pypi.org/project/gpyopt,2020-03-19 11:37:45.000000,36.0,5086.0,5086.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n384,ktrain,amaiya/ktrain,ktrain,,,ml-frameworks,['tensorflow'],https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39.000000,2020-12-26 22:35:06.000000,2020-12-26 22:34:52.000000,167.0,8.0,276.0,696.0,2137.0,2020-12-23 23:20:12.000000,0.25.3,145.0,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,108.0,107.0,12.0,24,https://pypi.org/project/ktrain,2020-12-05 17:43:35.000000,1.0,7299.0,7299.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n385,pythreejs,jupyter-widgets/pythreejs,pythreejs,conda-forge/pythreejs,,data-viz,['jupyter'],https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,BSD-3-Clause,2013-12-23 17:02:11.000000,2020-12-20 23:49:12.000000,2020-10-09 09:41:09.000000,156.0,56.0,136.0,690.0,1594.0,2020-03-19 11:32:37.000000,2.2.1,42.0,A Jupyter - Three.js bridge.,36.0,15.0,24.0,24,https://pypi.org/project/pythreejs,2020-10-09 09:40:47.000000,13.0,6480.0,15569.0,https://anaconda.org/conda-forge/pythreejs,2020-10-12 12:24:08.446000,254922.0,True,3,,,,,,,,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,2020-03-19 11:22:13.041000,8.0,4455.0,,,,,,,,,,,,\n386,Hail,hail-is/hail,hail,,,medical-data,['spark'],https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000000,2020-12-23 17:34:47.000000,2020-12-23 03:22:51.000000,179.0,323.0,1934.0,688.0,7617.0,2020-12-03 19:29:37.000000,0.2.61,81.0,Scalable genomic data analysis.,26.0,26.0,68.0,24,https://pypi.org/project/hail,2020-12-03 19:29:37.000000,,1565.0,1565.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n387,PennyLane,PennyLaneAI/PennyLane,pennylane,,,others,,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000000,2020-12-27 23:37:52.000000,2020-12-22 16:04:07.000000,200.0,50.0,217.0,675.0,1734.0,2020-12-22 16:10:22.000000,0.13.0-post2,18.0,PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum..,20.0,,38.0,24,https://pypi.org/project/pennylane,2020-11-27 18:07:34.000000,20.0,2710.0,2712.0,,,,True,2,52.0,,,,,,,,,,,,,,,,,,,,,,,,\n388,Singer,singer-io/getting-started,singer-python,,,data-loading,,https://github.com/singer-io/getting-started,https://github.com/singer-io/getting-started,AGPL-3.0,2016-10-31 16:53:56.000000,2020-12-04 20:57:23.000000,2020-12-04 20:57:19.000000,91.0,20.0,16.0,651.0,173.0,2019-11-04 21:43:38.000000,5.9.1,100.0,\"Standard for moving data between databases, web APIs, files, queues, and just about anything else you can think of.\",300.0,,26.0,24,https://pypi.org/project/singer-python,2020-10-27 17:49:47.000000,300.0,60049.0,60049.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n389,arch,bashtage/arch,arch,,,financial-data,,https://github.com/bashtage/arch,https://github.com/bashtage/arch,NCSA,2014-08-29 15:41:28.000000,2020-12-18 17:19:21.000000,2020-12-18 17:15:59.000000,151.0,14.0,120.0,626.0,740.0,2020-06-24 19:19:12.000000,4.15,26.0,ARCH models in Python.,249.0,228.0,25.0,24,https://pypi.org/project/arch,2020-06-24 19:20:21.000000,21.0,61769.0,61769.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,,,\n390,pyjanitor,ericmjl/pyjanitor,pyjanitor,conda-forge/pyjanitor,,others,,https://github.com/ericmjl/pyjanitor,https://github.com/ericmjl/pyjanitor,MIT,2018-03-04 22:43:33.000000,2020-12-23 21:23:23.000000,2020-12-23 19:58:43.000000,119.0,88.0,278.0,604.0,1162.0,2020-10-03 12:24:35.000000,0.20.10,46.0,Clean APIs for data cleaning. Python implementation of R package Janitor.,74.0,72.0,87.0,24,https://pypi.org/project/pyjanitor,2020-10-03 12:24:35.000000,2.0,1486.0,3776.0,https://anaconda.org/conda-forge/pyjanitor,2020-10-04 12:30:53.707000,75580.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n391,neo4j-driver,neo4j/neo4j-python-driver,neo4j-driver,,,db-clients,,https://github.com/neo4j/neo4j-python-driver,https://github.com/neo4j/neo4j-python-driver,Apache-2.0,2015-05-05 13:08:20.000000,2020-12-22 10:27:48.000000,2020-12-18 12:08:10.000000,132.0,4.0,167.0,585.0,,2020-12-21 13:59:28.000000,4.2.1,81.0,Neo4j Bolt driver for Python.,382.0,,26.0,24,https://pypi.org/project/neo4j-driver,2020-12-21 13:56:38.000000,382.0,71839.0,71839.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n392,pyahocorasick,WojciechMula/pyahocorasick,pyahocorasick,conda-forge/pyahocorasick,,nlp,,https://github.com/WojciechMula/pyahocorasick,https://github.com/WojciechMula/pyahocorasick,BSD-3-Clause,2013-05-30 19:55:46.000000,2020-12-23 10:51:28.000000,2020-12-23 10:51:27.000000,85.0,30.0,63.0,565.0,394.0,2018-12-20 19:06:01.000000,1.4.0,22.0,Python module (C extension and plain python) implementing Aho-Corasick algorithm.,520.0,456.0,20.0,24,https://pypi.org/project/pyahocorasick,2019-01-14 16:20:13.000000,64.0,115073.0,118003.0,https://anaconda.org/conda-forge/pyahocorasick,2020-10-13 12:20:05.350000,105507.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n393,HappyBase,python-happybase/happybase,happybase,conda-forge/happybase,,db-clients,,https://github.com/python-happybase/happybase,https://github.com/python-happybase/happybase,MIT,2012-05-20 20:06:10.000000,2020-04-09 10:46:31.000000,2020-04-09 10:46:29.000000,151.0,27.0,179.0,552.0,283.0,2017-04-03 21:13:18.000000,1.1.0,11.0,A developer-friendly Python library to interact with Apache HBase.,871.0,449.0,19.0,24,https://pypi.org/project/happybase,2017-04-03 21:13:18.000000,422.0,39543.0,40416.0,https://anaconda.org/conda-forge/happybase,2019-07-01 13:37:04.756000,47169.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n394,Intake,intake/intake,intake,conda-forge/intake,,data-loading,,https://github.com/intake/intake,https://github.com/intake/intake,BSD-2-Clause,2017-08-14 20:44:22.000000,2020-12-24 16:46:34.000000,2020-12-16 20:19:01.000000,91.0,75.0,189.0,507.0,1612.0,2020-06-03 19:03:40.000000,0.6.0,19.0,\"Intake is a lightweight package for finding, investigating, loading and disseminating data.\",286.0,212.0,51.0,24,https://pypi.org/project/intake,2020-06-03 19:03:40.000000,74.0,3229.0,5376.0,https://anaconda.org/conda-forge/intake,2020-06-03 19:49:52.133000,53680.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n395,datalad,datalad/datalad,datalad,conda-forge/datalad,,others,,https://github.com/datalad/datalad,https://github.com/datalad/datalad,MIT,2013-11-01 19:40:08.000000,2020-12-22 14:33:58.000000,2020-12-22 14:33:56.000000,68.0,711.0,2150.0,219.0,13176.0,2020-12-14 16:11:03.000000,0.13.6,61.0,\"Keep code, data, containers under control with git and git-annex.\",26.0,,40.0,24,https://pypi.org/project/datalad,2020-12-14 16:07:46.000000,26.0,1703.0,3956.0,https://anaconda.org/conda-forge/datalad,2020-12-14 19:11:37.177000,74370.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n396,PaddleOCR,PaddlePaddle/PaddleOCR,paddleocr,,,ocr,['paddle'],https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000000,2020-12-27 09:49:58.000000,2020-12-26 06:41:35.000000,1550.0,260.0,753.0,7988.0,,2020-12-18 04:01:23.000000,2.0.2,10.0,\"Awesome multilingual OCR toolkits based on PaddlePaddle practical ultra lightweight OCR system, provide data..\",10.0,10.0,41.0,23,https://pypi.org/project/paddleocr,2020-12-18 04:01:23.000000,0.0,1506.0,1506.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n397,Ciphey,Ciphey/Ciphey,ciphey,,,nlp,,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39.000000,2020-12-25 11:27:58.000000,2020-12-07 03:11:45.000000,327.0,45.0,168.0,5948.0,1712.0,2020-12-02 12:36:44.000000,5.11.0,43.0,\"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.\",,,38.0,23,https://pypi.org/project/ciphey,2020-12-02 12:36:44.000000,,4981.0,5393.0,,,,True,3,,,,remnux/ciphey,https://hub.docker.com/r/remnux/ciphey,2020-12-17 02:51:41.340501,1.0,7016.0,,,,,,,,,,,,,,,,,\n398,Apex,NVIDIA/apex,,conda-forge/nvidia-apex,,gpu-utilities,['pytorch'],https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000000,2020-12-17 17:18:44.000000,2020-12-17 17:18:43.000000,656.0,425.0,359.0,4883.0,828.0,,,1.0,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,409.0,409.0,77.0,23,,,,,1970.0,https://anaconda.org/conda-forge/nvidia-apex,2020-11-23 18:41:00.769000,27589.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n399,flashtext,vi3k6i5/flashtext,flashtext,,,nlp,,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01.000000,2020-06-05 00:37:46.000000,2020-05-03 07:13:22.000000,521.0,48.0,49.0,4592.0,108.0,,,18.0,Extract Keywords from sentence or Replace keywords in sentences.,350.0,318.0,8.0,23,https://pypi.org/project/flashtext,2018-02-16 05:24:17.000000,32.0,229721.0,229721.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n400,PaddleHub,PaddlePaddle/PaddleHub,paddlehub,,,others,['paddle'],https://github.com/PaddlePaddle/PaddleHub,https://github.com/PaddlePaddle/PaddleHub,Apache-2.0,2018-12-21 06:00:48.000000,2020-12-27 03:47:51.000000,2020-12-25 06:16:25.000000,953.0,243.0,370.0,4233.0,,2020-12-02 05:03:05.000000,2.0.0-beta1,38.0,\"Awesome pre-trained models toolkit based on PaddlePaddle.180+ models including Image, Text, Audio and Video with Easy..\",71.0,71.0,32.0,23,https://pypi.org/project/paddlehub,2020-12-24 13:01:16.000000,0.0,2076.0,2096.0,,,,True,3,421.0,,,,,,,,,,,,,,,,,,,,,,,,\n401,textgenrnn,minimaxir/textgenrnn,textgenrnn,,,nlp,['tensorflow'],https://github.com/minimaxir/textgenrnn,https://github.com/minimaxir/textgenrnn,MIT,2017-08-07 02:13:37.000000,2020-12-25 03:33:19.000000,2020-07-14 02:41:10.000000,654.0,107.0,79.0,4194.0,174.0,2020-02-03 01:07:00.000000,2.0.0,14.0,Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines..,568.0,554.0,19.0,23,https://pypi.org/project/textgenrnn,2020-02-02 21:16:15.000000,14.0,811.0,822.0,,,,True,3,383.0,,,,,,,,,,,,,,,,,,,,,,,,\n402,DeepSpeed,microsoft/DeepSpeed,deepspeed,,,distributed-ml,['pytorch'],https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,MIT,2020-01-23 18:35:18.000000,2020-12-23 08:07:32.000000,2020-12-23 06:26:26.000000,344.0,90.0,138.0,3856.0,376.0,2020-12-09 17:12:01.000000,0.3.9,17.0,\"DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.\",5.0,5.0,34.0,23,https://pypi.org/project/deepspeed,2020-12-23 06:29:20.000000,,956.0,1548.0,,,,True,3,,,,deepspeed/deepspeed,https://hub.docker.com/r/deepspeed/deepspeed,2020-11-20 00:17:12.819964,2.0,6519.0,,,,,,,,,,,,,,,,,\n403,Snips NLU,snipsco/snips-nlu,snips-nlu,,,nlp,,https://github.com/snipsco/snips-nlu,https://github.com/snipsco/snips-nlu,Apache-2.0,2017-02-08 16:16:36.000000,2020-12-24 12:59:47.000000,2020-02-08 21:49:32.000000,453.0,50.0,196.0,3424.0,2153.0,2020-01-15 10:13:17.000000,0.20.2,58.0,Snips Python library to extract meaning from text.,8.0,,21.0,23,https://pypi.org/project/snips-nlu,2020-01-15 10:13:17.000000,8.0,1549.0,1549.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n404,Great Expectations,great-expectations/great_expectations,great_expectations,,,data-pipelines,,https://github.com/great-expectations/great_expectations,https://github.com/great-expectations/great_expectations,Apache-2.0,2017-09-11 00:18:46.000000,2020-12-26 17:32:37.000000,2020-12-23 22:41:10.000000,371.0,151.0,581.0,3291.0,,2020-12-23 01:56:12.000000,0.13.4,95.0,Always know what to expect from your data.,6.0,,137.0,23,https://pypi.org/project/great_expectations,2020-12-23 01:50:41.000000,6.0,349851.0,349851.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n405,VisualDL,PaddlePaddle/VisualDL,visualdl,,,ml-experiments,['paddle'],https://github.com/PaddlePaddle/VisualDL,https://github.com/PaddlePaddle/VisualDL,Apache-2.0,2017-12-20 12:34:31.000000,2020-12-24 13:17:23.000000,2020-12-24 06:06:40.000000,428.0,22.0,309.0,3173.0,,2020-11-26 10:19:27.000000,2.0.5,29.0,Deep Learning Visualization Toolkit.,123.0,118.0,26.0,23,https://pypi.org/project/visualdl,2020-11-26 10:16:06.000000,5.0,4251.0,4260.0,,,,True,3,57.0,,,,,,,,,,,,,,,,,,,,,,,,\n406,PyAlgoTrade,gbeced/pyalgotrade,pyalgotrade,,,financial-data,,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54.000000,2020-12-24 18:41:56.000000,2018-08-21 02:42:52.000000,1139.0,38.0,81.0,3088.0,1156.0,,,8.0,Python Algorithmic Trading Library.,87.0,66.0,11.0,23,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25.000000,21.0,575.0,575.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n407,segmentation_models,qubvel/segmentation_models,segmentation_models,,,image,['tensorflow'],https://github.com/qubvel/segmentation_models,https://github.com/qubvel/segmentation_models,MIT,2018-06-05 13:27:56.000000,2020-12-13 13:48:40.000000,2020-04-17 09:51:20.000000,653.0,137.0,234.0,2818.0,204.0,2020-01-10 11:36:02.000000,1.0.1,8.0,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,12.0,,14.0,23,https://pypi.org/project/segmentation_models,2020-01-10 11:36:02.000000,12.0,14895.0,14895.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n408,SHOGUN,shogun-toolbox/shogun,,conda-forge/shogun,,ml-frameworks,,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32.000000,2020-12-25 23:03:46.000000,2020-12-08 16:56:38.000000,1014.0,544.0,1067.0,2775.0,16205.0,2019-07-05 10:23:31.000000,shogun_6.1.4,10.0,Unified and efficient Machine Learning.,,,248.0,23,,,,,2186.0,https://anaconda.org/conda-forge/shogun,2018-06-25 20:49:17.070000,89169.0,True,3,,,shogun,shogun/shogun,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1436.0,,,,,,,,,,,,,,,,,\n409,keras-vis,raghakot/keras-vis,keras-vis,,,interpretability,['tensorflow'],https://github.com/raghakot/keras-vis,https://github.com/raghakot/keras-vis,MIT,2016-11-11 23:27:34.000000,2020-04-20 01:03:13.000000,2020-04-20 01:03:12.000000,561.0,110.0,99.0,2767.0,195.0,2017-07-06 04:55:04.000000,0.4.1,11.0,Neural network visualization toolkit for keras.,654.0,626.0,10.0,23,https://pypi.org/project/keras-vis,2017-07-06 04:55:04.000000,28.0,2704.0,2704.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n410,gallery-dl,mikf/gallery-dl,gallery-dl,,,web-scraping,,https://github.com/mikf/gallery-dl,https://github.com/mikf/gallery-dl,GPL-2.0,2014-10-12 19:38:05.000000,2020-12-27 17:28:53.000000,2020-12-27 17:28:33.000000,224.0,187.0,925.0,2765.0,2780.0,2020-12-27 17:38:07.000000,1.16.1,88.0,Command-line program to download image galleries and collections from several image hosting sites.,4.0,,27.0,23,https://pypi.org/project/gallery-dl,2020-12-27 17:28:53.000000,4.0,5771.0,7033.0,,,,False,3,77017.0,,,,,,,,,,,,,,,,,,,,,,,,\n411,PML,KevinMusgrave/pytorch-metric-learning,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,pytorch-utils,['pytorch'],https://github.com/KevinMusgrave/pytorch-metric-learning,https://github.com/KevinMusgrave/pytorch-metric-learning,MIT,2019-10-23 17:20:35.000000,2020-12-27 13:00:29.000000,2020-12-27 12:22:46.000000,343.0,30.0,167.0,2546.0,548.0,2020-12-11 05:13:08.000000,0.9.95,135.0,\"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.\",40.0,40.0,12.0,23,https://pypi.org/project/pytorch-metric-learning,2019-12-27 11:28:11.000000,0.0,4241.0,4335.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2020-12-11 06:48:33.049000,1038.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n412,WikiExtractor,attardi/wikiextractor,wikiextractor,,,web-scraping,,https://github.com/attardi/wikiextractor,https://github.com/attardi/wikiextractor,AGPL-3.0,2015-03-22 12:03:01.000000,2020-12-17 12:18:10.000000,2020-12-17 12:17:34.000000,719.0,81.0,107.0,2480.0,217.0,2020-12-05 19:18:56.000000,3.0.4,3.0,A tool for extracting plain text from Wikipedia dumps.,39.0,35.0,29.0,23,https://pypi.org/project/wikiextractor,2020-12-05 19:18:56.000000,4.0,2475.0,2475.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n413,MMLSpark,Azure/mmlspark,mmlspark,,,distributed-ml,['spark'],https://github.com/Azure/mmlspark,https://github.com/Azure/mmlspark,MIT,2017-06-05 08:23:44.000000,2020-12-11 15:17:54.000000,2020-12-03 17:05:17.000000,467.0,171.0,212.0,2220.0,760.0,2020-10-02 19:36:01.000000,1.0.0-rc3,17.0,Microsoft Machine Learning for Apache Spark.,,,61.0,23,https://pypi.org/project/mmlspark,2020-03-18 01:27:31.000000,,18482.0,18482.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n414,ClearML,allegroai/clearml,clearml,,,ml-experiments,,https://github.com/allegroai/clearml,https://github.com/allegroai/clearml,Apache-2.0,2019-06-10 08:18:32.000000,2020-12-25 02:34:26.000000,2020-12-25 02:34:26.000000,239.0,82.0,149.0,2041.0,936.0,2020-12-25 00:38:35.000000,0.17.2,37.0,\"ClearML - Auto-Magical Suite of tools to streamline your ML workflow. Experiment Manager, ML-Ops and Data-Management.\",3.0,3.0,24.0,23,https://pypi.org/project/clearml,2020-12-25 00:36:49.000000,0.0,334.0,2002.0,,,,True,3,246.0,,,allegroai/trains,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,29800.0,,,,,,,,,,,,,,,,,True\n415,einops,arogozhnikov/einops,einops,conda-forge/einops,,ml-frameworks,,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08.000000,2020-11-21 03:15:40.000000,2020-11-14 04:18:36.000000,64.0,22.0,37.0,2006.0,290.0,2020-09-08 08:33:29.000000,0.3,3.0,\"Deep learning operations reinvented (for pytorch, tensorflow, chainer, gluon and others).\",160.0,150.0,10.0,23,https://pypi.org/project/einops,2020-09-08 08:21:26.000000,10.0,9898.0,10122.0,https://anaconda.org/conda-forge/einops,2020-10-15 20:10:19.681000,3365.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n416,scikit-plot,reiinakano/scikit-plot,scikit-plot,conda-forge/scikit-plot,,interpretability,['sklearn'],https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59.000000,2020-07-22 16:19:25.000000,2018-08-19 12:37:47.000000,238.0,21.0,38.0,1975.0,130.0,2018-08-19 12:21:01.000000,0.3.7,27.0,An intuitive library to add plotting functionality to scikit-learn objects.,688.0,661.0,13.0,23,https://pypi.org/project/scikit-plot,2018-08-19 12:18:46.000000,27.0,48262.0,50172.0,https://anaconda.org/conda-forge/scikit-plot,2019-06-05 14:23:59.043000,78321.0,False,2,,,,,,,,,,,,,,,,,,,,,,,,,\n417,ART,Trusted-AI/adversarial-robustness-toolbox,adversarial-robustness-toolbox,,,adversarial,,https://github.com/Trusted-AI/adversarial-robustness-toolbox,https://github.com/Trusted-AI/adversarial-robustness-toolbox,MIT,2018-03-15 14:40:43.000000,2020-12-24 18:59:20.000000,2020-12-19 00:01:10.000000,548.0,51.0,318.0,1919.0,,2020-12-01 01:59:38.000000,1.5.0,26.0,\"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..\",94.0,94.0,58.0,23,https://pypi.org/project/adversarial-robustness-toolbox,2020-12-01 01:03:21.000000,,1868.0,1868.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n418,pytorch-nlp,PetrochukM/PyTorch-NLP,pytorch-nlp,,,nlp,['pytorch'],https://github.com/PetrochukM/PyTorch-NLP,https://github.com/PetrochukM/PyTorch-NLP,BSD-3-Clause,2018-02-25 05:00:36.000000,2020-10-11 02:41:30.000000,2020-10-11 02:41:24.000000,223.0,14.0,49.0,1847.0,442.0,2019-11-04 05:16:00.000000,0.5.0,19.0,Basic Utilities for PyTorch Natural Language Processing (NLP).,183.0,165.0,17.0,23,https://pypi.org/project/pytorch-nlp,2019-11-04 04:35:18.000000,18.0,3903.0,3903.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n419,Acme,deepmind/acme,dm-acme,,,reinforcement-learning,['tensorflow'],https://github.com/deepmind/acme,https://github.com/deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000000,2020-12-17 12:47:09.000000,2020-12-17 12:46:33.000000,174.0,37.0,43.0,1838.0,319.0,2020-10-23 15:59:12.000000,0.2.0,8.0,A library of reinforcement learning components and agents.,16.0,16.0,29.0,23,https://pypi.org/project/dm-acme,2020-07-24 13:03:30.000000,,587.0,587.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n420,Essentia,MTG/essentia,essentia,,,audio,,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000000,2020-12-24 10:03:01.000000,2020-12-16 16:22:01.000000,389.0,280.0,557.0,1692.0,2689.0,2015-03-31 16:33:30.000000,2.0,8.0,\"C++ library for audio and music analysis, description and synthesis, including Python bindings.\",144.0,139.0,69.0,23,https://pypi.org/project/essentia,2020-04-22 16:31:02.000000,5.0,1397.0,1397.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n421,DDSP,magenta/ddsp,ddsp,,,audio,['tensorflow'],https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27.000000,2020-12-21 21:43:25.000000,2020-12-21 21:43:15.000000,154.0,13.0,84.0,1685.0,334.0,2020-11-11 21:25:25.000000,0.13.0,25.0,DDSP: Differentiable Digital Signal Processing.,5.0,5.0,22.0,23,https://pypi.org/project/ddsp,2020-08-21 20:19:47.000000,,1396.0,1396.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n422,GluonTS,awslabs/gluon-ts,gluonts,,,time-series-data,['mxnet'],https://github.com/awslabs/gluon-ts,https://github.com/awslabs/gluon-ts,Apache-2.0,2019-05-15 17:17:29.000000,2020-12-27 11:52:41.000000,2020-12-27 11:52:40.000000,347.0,180.0,337.0,1626.0,623.0,2020-12-08 15:07:54.000000,0.6.4,27.0,Probabilistic time series modeling in Python.,,,66.0,23,https://pypi.org/project/gluonts,2020-12-08 15:07:54.000000,,22125.0,22125.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n423,Spektral,danielegrattarola/spektral,spektral,,,graph,\"['tensorflow\"\"']\",https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10.000000,2020-12-27 11:54:19.000000,2020-12-27 11:54:17.000000,178.0,20.0,89.0,1554.0,414.0,2020-12-10 21:12:38.000000,1.0.3,26.0,Graph Neural Networks with Keras and Tensorflow 2.,26.0,26.0,16.0,23,https://pypi.org/project/spektral,2020-12-10 21:12:38.000000,,3900.0,3900.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n424,Pillow-SIMD,uploadcare/pillow-simd,pillow-simd,,,image,,https://github.com/uploadcare/pillow-simd,https://github.com/uploadcare/pillow-simd,PIL,2014-11-12 15:33:02.000000,2020-11-03 07:45:01.000000,2020-06-02 14:50:14.000000,66.0,11.0,52.0,1515.0,,2020-01-02 05:19:26.000000,7.0.0,35.0,The friendly PIL fork.,401.0,351.0,310.0,23,https://pypi.org/project/pillow-simd,2020-01-26 14:30:27.000000,50.0,10799.0,10799.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n425,Elephas,maxpumperla/elephas,elephas,,,distributed-ml,\"['keras', 'spark']\",https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19.000000,2020-12-22 08:32:41.000000,2020-12-22 08:32:40.000000,281.0,51.0,80.0,1434.0,337.0,2019-03-20 17:02:37.000000,0.4.3,9.0,Distributed Deep learning with Keras & Spark.,3.0,,25.0,23,https://pypi.org/project/elephas,2020-02-10 13:38:21.000000,3.0,10154.0,10154.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n426,sklearn-contrib-lightning,scikit-learn-contrib/lightning,sklearn-contrib-lightning,conda-forge/sklearn-contrib-lightning,,others,['sklearn'],https://github.com/scikit-learn-contrib/lightning,https://github.com/scikit-learn-contrib/lightning,BSD-3-Clause,2012-01-11 13:53:52.000000,2020-12-26 21:55:58.000000,2020-12-26 21:55:56.000000,188.0,49.0,35.0,1413.0,699.0,2017-11-04 18:03:11.000000,0.5.0,7.0,\"Large-scale linear classification, regression and ranking in Python.\",75.0,70.0,16.0,23,https://pypi.org/project/sklearn-contrib-lightning,2020-12-16 17:25:20.000000,5.0,407.0,2771.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2020-12-20 22:58:20.890000,125307.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n427,bonobo,python-bonobo/bonobo,bonobo,,http://docs.bonobo-project.org/en/master/,data-pipelines,,https://github.com/python-bonobo/bonobo,https://github.com/python-bonobo/bonobo,Apache-2.0,2016-12-09 04:03:23.000000,2020-12-11 07:33:03.000000,2019-07-20 13:19:49.000000,110.0,62.0,106.0,1360.0,978.0,2019-05-16 13:19:48.000000,0.6.4,38.0,Extract Transform Load for Python 3.5+.,129.0,105.0,35.0,23,https://pypi.org/project/bonobo,2019-07-20 13:33:19.000000,24.0,2905.0,2905.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n428,Pandaral·lel,nalepae/pandarallel,pandarallel,,,data-containers,\"['pandas', 'jupyter']\",https://github.com/nalepae/pandarallel,https://github.com/nalepae/pandarallel,BSD-3-Clause,2019-03-10 11:58:29.000000,2020-12-16 13:29:31.000000,2020-12-16 13:29:29.000000,89.0,58.0,52.0,1304.0,110.0,2020-08-25 16:33:28.000000,1.5.1,28.0,A simple and efficient tool to parallelize Pandas operations on all availableCPUs.,128.0,128.0,13.0,23,https://pypi.org/project/pandarallel,2020-08-25 16:33:28.000000,,44091.0,44091.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n429,hnswlib,nmslib/hnswlib,hnswlib,,,nn-search,,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000000,2020-12-14 05:10:44.000000,2020-08-18 21:30:59.000000,229.0,80.0,102.0,1276.0,195.0,2020-07-13 04:50:55.000000,0.4.0,3.0,Header-only C++/python library for fast approximate nearest neighbors.,2.0,,32.0,23,https://pypi.org/project/hnswlib,2020-07-13 04:50:55.000000,2.0,12640.0,12640.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n430,MLBox,AxeldeRomblay/MLBox,mlbox,,,hyperopt,,https://github.com/AxeldeRomblay/MLBox,https://github.com/AxeldeRomblay/MLBox,BSD-1-Clause,2017-06-01 16:59:24.000000,2020-11-24 17:57:08.000000,2020-08-25 09:26:27.000000,239.0,10.0,71.0,1168.0,1121.0,2020-08-25 09:32:37.000000,0.8.5,21.0,MLBox is a powerful Automated Machine Learning python library.,19.0,19.0,9.0,23,https://pypi.org/project/mlbox,2020-08-25 09:32:37.000000,,7142.0,7142.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n431,sense2vec,explosion/sense2vec,sense2vec,conda-forge/sense2vec,,nlp,,https://github.com/explosion/sense2vec,https://github.com/explosion/sense2vec,MIT,2016-01-23 22:15:49.000000,2020-12-10 16:03:25.000000,2020-05-29 21:31:20.000000,195.0,15.0,78.0,1132.0,437.0,2019-11-22 17:40:43.000000,1.0.2,17.0,Contextually-keyed word vectors.,53.0,47.0,14.0,23,https://pypi.org/project/sense2vec,2019-11-22 15:49:11.000000,6.0,2270.0,3571.0,https://anaconda.org/conda-forge/sense2vec,2020-03-16 22:19:07.337000,14060.0,True,3,11673.0,,,,,,,,,,,,,,,,,,,,,,,,\n432,metric-learn,scikit-learn-contrib/metric-learn,metric-learn,,,others,['sklearn'],https://github.com/scikit-learn-contrib/metric-learn,https://github.com/scikit-learn-contrib/metric-learn,MIT,2013-11-02 08:29:47.000000,2020-08-04 01:35:49.000000,2020-08-04 01:35:39.000000,205.0,47.0,109.0,1087.0,263.0,2020-07-02 12:55:51.000000,0.6.2,10.0,Metric learning algorithms in Python.,122.0,113.0,19.0,23,https://pypi.org/project/metric-learn,2020-07-02 12:59:23.000000,9.0,15125.0,15125.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n433,garage,rlworkgroup/garage,garage,,,reinforcement-learning,['tensorflow'],https://github.com/rlworkgroup/garage,https://github.com/rlworkgroup/garage,MIT,2018-06-10 21:31:23.000000,2020-12-24 01:19:04.000000,2020-12-23 05:19:28.000000,181.0,182.0,766.0,1001.0,1185.0,2020-09-17 07:34:11.000000,2020.6.3,21.0,A toolkit for reproducible reinforcement learning research.,13.0,13.0,73.0,23,https://pypi.org/project/garage,2020-10-02 17:16:03.000000,,261.0,261.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n434,modAL,modAL-python/modAL,modAL,,,others,['sklearn'],https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000000,2020-12-09 16:01:00.000000,2020-11-01 08:39:01.000000,163.0,40.0,49.0,980.0,643.0,2020-08-21 06:19:25.000000,0.4.0,11.0,A modular active learning framework for Python.,47.0,43.0,13.0,23,https://pypi.org/project/modAL,2020-11-01 08:48:50.000000,4.0,2148.0,2148.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n435,tensorly,tensorly/tensorly,tensorly,conda-forge/tensorly,,others,,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52.000000,2020-12-27 11:56:17.000000,2020-12-27 11:56:16.000000,186.0,24.0,92.0,920.0,838.0,2020-12-07 20:30:41.000000,0.5.1,16.0,TensorLy: Tensor Learning in Python.,20.0,,38.0,23,https://pypi.org/project/tensorly,2020-12-07 20:30:41.000000,20.0,3127.0,6307.0,https://anaconda.org/conda-forge/tensorly,2020-12-07 22:44:30.386000,98586.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n436,ChainerRL,chainer/chainerrl,chainerrl,,,reinforcement-learning,,https://github.com/chainer/chainerrl,https://github.com/chainer/chainerrl,MIT,2017-01-30 04:58:15.000000,2020-12-09 06:26:53.000000,2020-12-09 06:26:52.000000,206.0,75.0,146.0,919.0,3458.0,2020-02-14 05:35:56.000000,0.8.0,10.0,ChainerRL is a deep reinforcement learning library built on top of Chainer.,102.0,88.0,29.0,23,https://pypi.org/project/chainerrl,2020-02-14 05:35:56.000000,14.0,857.0,857.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n437,luminol,linkedin/luminol,luminol,,,time-series-data,,https://github.com/linkedin/luminol,https://github.com/linkedin/luminol,Apache-2.0,2015-11-18 23:16:33.000000,2020-12-27 09:54:35.000000,2018-01-09 07:46:55.000000,175.0,24.0,12.0,859.0,69.0,2016-01-20 01:01:44.000000,0.3.1,5.0,Anomaly Detection and Correlation library.,49.0,37.0,8.0,23,https://pypi.org/project/luminol,2017-12-11 06:04:15.000000,12.0,149168.0,149168.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,,,\n438,keract,philipperemy/keract,keract,,,interpretability,['tensorflow'],https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57.000000,2020-12-22 10:34:40.000000,2020-12-22 10:34:39.000000,172.0,2.0,72.0,838.0,347.0,2020-11-06 08:09:00.000000,4.3.4,36.0,Activation Maps (Layers Outputs) and Gradients in Keras.,68.0,63.0,15.0,23,https://pypi.org/project/keract,2020-12-22 09:35:27.000000,5.0,1330.0,1330.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n439,openTSNE,pavlin-policar/openTSNE,opentsne,conda-forge/opentsne,,data-viz,,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000000,2020-12-21 23:46:42.871000,2020-12-21 21:11:36.000000,81.0,3.0,68.0,731.0,506.0,2020-12-24 11:58:16.000000,0.5.0,18.0,\"Extensible, parallel implementations of t-SNE.\",161.0,157.0,10.0,23,https://pypi.org/project/opentsne,2020-12-21 21:21:52.000000,4.0,12892.0,15857.0,https://anaconda.org/conda-forge/opentsne,2020-12-21 23:46:42.871000,71183.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n440,PySwarms,ljvmiranda921/pyswarms,pyswarms,,,others,,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45.000000,2020-12-21 10:21:06.000000,2020-11-17 09:42:41.000000,228.0,12.0,153.0,695.0,403.0,2020-11-14 05:18:38.000000,.1.2.0,19.0,A research toolkit for particle swarm optimization in Python.,84.0,84.0,42.0,23,https://pypi.org/project/pyswarms,2020-11-14 05:17:27.000000,,5792.0,5792.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n441,GPUtil,anderskm/gputil,gputil,,,gpu-utilities,,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43.000000,2020-10-01 05:42:49.000000,2019-08-16 09:00:15.000000,76.0,10.0,14.0,658.0,140.0,2018-12-18 09:12:13.000000,1.4.0,8.0,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,1009.0,907.0,13.0,23,https://pypi.org/project/gputil,2018-12-18 09:12:13.000000,102.0,54019.0,54019.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,,,\n442,scikit-multilearn,scikit-multilearn/scikit-multilearn,scikit-multilearn,,,others,['sklearn'],https://github.com/scikit-multilearn/scikit-multilearn,https://github.com/scikit-multilearn/scikit-multilearn,BSD-2-Clause,2014-04-30 13:05:44.000000,2020-06-30 10:19:46.000000,2019-05-21 11:29:06.000000,118.0,64.0,91.0,615.0,487.0,2018-12-10 16:24:47.000000,0.2.0,6.0,A scikit-learn based module for multi-label et. al. classification.,310.0,307.0,15.0,23,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47.000000,3.0,71650.0,71650.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n443,GeoViews,holoviz/geoviews,geoviews,conda-forge/geoviews,,geospatial-data,,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000000,2020-11-13 20:59:34.000000,2020-09-21 16:31:16.000000,59.0,77.0,169.0,320.0,635.0,2020-09-23 18:59:07.000000,1.8.0,21.0,\"Simple, concise geographical visualization in Python.\",187.0,177.0,21.0,23,https://pypi.org/project/geoviews,2020-03-30 19:17:21.000000,10.0,1437.0,3034.0,https://anaconda.org/conda-forge/geoviews,2020-09-23 20:06:48.808000,52730.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n444,pyhdb,SAP/pyhdb,pyhdb,,,db-clients,,https://github.com/SAP/PyHDB,https://github.com/SAP/PyHDB,Apache-2.0,2014-12-12 04:02:40.000000,2020-12-24 19:33:16.000000,2018-05-24 13:45:41.000000,132.0,50.0,51.0,287.0,155.0,2018-02-16 12:44:36.000000,0.3.4,8.0,SAP HANA Connector in pure Python.,131.0,101.0,10.0,23,https://pypi.org/project/pyhdb,2018-02-16 12:37:13.000000,30.0,66346.0,66346.0,,,,False,3,57.0,,,,,,,,,,,,,,,,,,,,,,,,\n445,pySBD,nipunsadvilkar/pySBD,pysbd,,,nlp,,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20.000000,2020-12-01 05:37:27.000000,2020-12-01 05:37:25.000000,25.0,4.0,43.0,244.0,274.0,2020-10-08 11:41:09.000000,0.3.3,14.0,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,92.0,90.0,6.0,23,https://pypi.org/project/pysbd,2020-10-08 11:33:56.000000,2.0,11920.0,11920.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n446,TensorFlow Cloud,tensorflow/cloud,tensorflow-cloud,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59.000000,2020-12-25 05:23:27.000000,2020-12-04 18:40:10.000000,41.0,41.0,25.0,209.0,486.0,2020-12-03 20:05:29.000000,0.1.10,13.0,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,8.0,8.0,15.0,23,https://pypi.org/project/tensorflow-cloud,2020-12-03 20:05:29.000000,,465633.0,465633.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n447,py3nvml,fbcotter/py3nvml,py3nvml,conda-forge/py3nvml,,gpu-utilities,,https://github.com/fbcotter/py3nvml,https://github.com/fbcotter/py3nvml,BSD-3-Clause,2016-11-21 01:07:37.000000,2020-10-10 10:41:08.987000,2020-04-23 06:54:42.000000,24.0,2.0,8.0,160.0,79.0,2020-04-06 16:02:10.000000,0.2.6,13.0,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,234.0,214.0,6.0,23,https://pypi.org/project/py3nvml,2020-04-06 16:02:10.000000,20.0,79937.0,80907.0,https://anaconda.org/conda-forge/py3nvml,2020-10-10 10:41:08.987000,10680.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n448,pyexcel-xlsx,pyexcel/pyexcel-xlsx,pyexcel-xlsx,conda-forge/pyexcel-xlsx,,data-loading,,https://github.com/pyexcel/pyexcel-xlsx,https://github.com/pyexcel/pyexcel-xlsx,BSD-3-Clause,2014-12-02 00:03:24.000000,2020-11-28 22:30:58.000000,2020-11-28 22:30:53.000000,16.0,12.0,20.0,83.0,267.0,2020-10-10 13:13:09.000000,0.6.0,30.0,\"A wrapper library to read, manipulate and write data in xlsx and xlsm format using openpyxl.\",1357.0,1047.0,4.0,23,https://pypi.org/project/pyexcel-xlsx,2019-12-28 20:09:57.000000,310.0,38854.0,39238.0,https://anaconda.org/conda-forge/pyexcel-xlsx,2020-10-10 15:53:49.660000,14613.0,False,3,46.0,,,,,,,,,,,,,,,,,,,,,,,,\n449,Vaex,vaexio/vaex,vaex,conda-forge/vaex,,data-containers,,https://github.com/vaexio/vaex,https://github.com/vaexio/vaex,MIT,2014-09-27 09:44:42.000000,2020-12-24 02:33:47.000000,2020-12-09 10:57:28.000000,419.0,266.0,382.0,5510.0,2898.0,2020-05-25 21:35:34.000000,3.0.0,41.0,\"Out-of-Core DataFrames for Python, ML, visualize and explore big tabular data at a billion rows per second.\",2.0,,35.0,22,https://pypi.org/project/vaex,2020-12-08 16:25:15.000000,2.0,4342.0,6205.0,https://anaconda.org/conda-forge/vaex,2020-06-01 18:35:17.510000,93077.0,True,3,199.0,,,,,,,,,,,,,,,,,,,,,,,,\n450,Dejavu,worldveil/dejavu,PyDejavu,,,audio,,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35.000000,2020-10-29 17:40:17.000000,2020-06-03 05:58:03.000000,1236.0,83.0,129.0,5269.0,146.0,2015-04-19 21:20:16.000000,0.1.3,4.0,Audio fingerprinting and recognition in Python.,17.0,16.0,23.0,22,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16.000000,1.0,156.0,156.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n451,Face Alignment,1adrianb/face-alignment,face-alignment,,,image,['pytorch'],https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44.000000,2020-12-24 06:51:08.000000,2020-12-22 21:26:46.000000,993.0,29.0,189.0,4569.0,192.0,2020-12-22 21:34:55.000000,1.3.3,9.0,2D and 3D Face alignment library build using pytorch.,6.0,,20.0,22,https://pypi.org/project/face-alignment,2020-12-22 21:34:55.000000,6.0,5440.0,5440.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n452,Image Deduplicator,idealo/imagededup,imagededup,,,image,['tensorflow'],https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54.000000,2020-12-21 13:30:38.000000,2020-11-23 17:40:40.000000,268.0,14.0,50.0,3299.0,460.0,2020-11-23 17:55:24.000000,0.2.4,9.0,Finding duplicate images made easy!.,9.0,8.0,9.0,22,https://pypi.org/project/imagededup,2020-11-22 21:09:36.000000,1.0,2333.0,2333.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n453,ArrayFire,arrayfire/arrayfire,arrayfire,,,gpu-utilities,,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000000,2020-12-23 05:10:33.000000,2020-12-23 05:10:31.000000,450.0,254.0,1193.0,3264.0,5664.0,2020-11-23 16:37:49.000000,3.7.3,29.0,ArrayFire: a general purpose GPU library.,2.0,,80.0,22,https://pypi.org/project/arrayfire,2018-10-18 14:13:29.000000,2.0,489.0,496.0,,,,True,2,486.0,,,,,,,,,,,,,,,,,,,,,,,,\n454,AdaNet,tensorflow/adanet,adanet,,,hyperopt,['tensorflow'],https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24.000000,2020-07-09 21:03:28.000000,2020-07-09 20:51:04.000000,489.0,63.0,47.0,3216.0,439.0,2020-07-09 20:53:28.000000,0.9.0,13.0,Fast and flexible AutoML with learning guarantees.,35.0,33.0,26.0,22,https://pypi.org/project/adanet,2020-07-09 21:03:28.000000,2.0,683.0,683.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n455,TensorWatch,microsoft/tensorwatch,tensorwatch,,,ml-experiments,,https://github.com/microsoft/tensorwatch,https://github.com/microsoft/tensorwatch,MIT,2019-05-15 08:29:34.000000,2020-12-22 10:51:58.000000,2020-09-16 04:30:11.000000,306.0,48.0,14.0,2992.0,108.0,2020-03-04 07:26:22.000000,0.9.1,14.0,\"Debugging, monitoring and visualization for Python Machine Learning and Data Science.\",48.0,42.0,11.0,22,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22.000000,6.0,1434.0,1434.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n456,analytics-zoo,intel-analytics/analytics-zoo,analytics-zoo,,,distributed-ml,['spark'],https://github.com/intel-analytics/analytics-zoo,https://github.com/intel-analytics/analytics-zoo,Apache-2.0,2017-05-05 02:27:30.000000,2020-12-28 01:40:44.000000,2020-12-27 12:02:21.000000,623.0,423.0,464.0,2155.0,2343.0,2020-12-17 03:25:36.000000,0.9.0,36.0,\"Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray.\",2.0,2.0,81.0,22,https://pypi.org/project/analytics-zoo,2020-12-17 03:25:36.000000,,765.0,765.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n457,neuralcoref,huggingface/neuralcoref,neuralcoref,conda-forge/neuralcoref,,nlp,,https://github.com/huggingface/neuralcoref,https://github.com/huggingface/neuralcoref,MIT,2017-07-03 13:04:16.000000,2020-09-07 13:27:18.000000,2020-09-07 13:27:17.000000,373.0,40.0,214.0,2153.0,112.0,2019-04-08 11:28:27.000000,4.0.0,5.0,Fast Coreference Resolution in spaCy with Neural Networks.,277.0,268.0,19.0,22,https://pypi.org/project/neuralcoref,2019-04-08 08:53:12.000000,9.0,3622.0,4178.0,https://anaconda.org/conda-forge/neuralcoref,2020-02-21 22:10:40.453000,5535.0,True,3,160.0,,,,,,,,,,,,,,,,,,,,,,,,\n458,Mars,mars-project/mars,pymars,,,others,,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03.000000,2020-12-27 11:58:55.000000,2020-12-25 10:43:14.000000,236.0,119.0,611.0,1966.0,666.0,2020-12-20 16:40:38.000000,0.6.1,67.0,\"Mars is a tensor-based unified framework for large-scale data computation which scales Numpy, Pandas and Scikit-learn.\",3.0,3.0,16.0,22,https://pypi.org/project/pymars,2020-12-20 16:45:18.000000,,4003.0,4003.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n459,PandasGUI,adamerose/pandasgui,pandasgui,,,data-viz,['pandas'],https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT,2019-06-12 02:19:42.000000,2020-12-05 10:18:01.000000,2020-12-05 10:17:52.000000,107.0,10.0,50.0,1907.0,403.0,2020-11-10 17:30:20.000000,0.2.7,37.0,A GUI for Pandas DataFrames.,25.0,24.0,6.0,22,https://pypi.org/project/pandasgui,2020-11-10 17:30:20.000000,1.0,2092.0,2092.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n460,Enigma Catalyst,enigmampc/catalyst,enigma-catalyst,,,financial-data,,https://github.com/enigmampc/catalyst,https://github.com/enigmampc/catalyst,Apache-2.0,2017-06-13 22:31:34.000000,2020-03-12 17:32:54.000000,2018-11-11 19:19:00.000000,568.0,131.0,363.0,1900.0,6360.0,2018-09-13 15:09:58.000000,0.5.21,52.0,An Algorithmic Trading Library for Crypto-Assets in Python.,20.0,20.0,143.0,22,https://pypi.org/project/enigma-catalyst,2018-11-11 16:46:28.000000,,333.0,333.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n461,PyFlux,RJT1990/pyflux,pyflux,,,time-series-data,,https://github.com/RJT1990/pyflux,https://github.com/RJT1990/pyflux,BSD-3-Clause,2016-02-16 20:12:02.000000,2019-03-19 10:45:02.000000,2018-12-16 15:30:13.000000,206.0,79.0,65.0,1837.0,118.0,2017-11-21 16:27:06.000000,0.4.16,35.0,Open source time series library for Python.,179.0,164.0,6.0,22,https://pypi.org/project/pyflux,2017-11-21 16:27:06.000000,15.0,12475.0,12475.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n462,MONAI,Project-MONAI/MONAI,monai,,,medical-data,['pytorch'],https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000000,2020-12-27 19:57:45.000000,2020-12-18 16:21:31.000000,285.0,82.0,564.0,1625.0,696.0,2020-12-15 15:21:13.000000,0.4.0,15.0,AI Toolkit for Healthcare Imaging.,,,48.0,22,https://pypi.org/project/monai,2020-12-15 15:16:56.000000,,3436.0,3436.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n463,STUMPY,TDAmeritrade/stumpy,stumpy,conda-forge/stumpy,,time-series-data,,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000000,2020-12-23 19:03:34.000000,2020-12-23 19:03:22.000000,152.0,29.0,167.0,1616.0,760.0,2020-12-10 18:23:49.000000,1.6.0,14.0,\"STUMPY is a powerful and scalable Python library for computing a Matrix Profile, which can be used for a variety of..\",,,20.0,22,https://pypi.org/project/stumpy,2020-12-10 18:23:49.000000,,16389.0,17137.0,https://anaconda.org/conda-forge/stumpy,2020-12-10 18:52:28.376000,14217.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n464,scattertext,JasonKessler/scattertext,scattertext,conda-forge/scattertext,,nlp,,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12.000000,2020-12-18 17:48:22.333000,2020-12-18 09:53:12.000000,200.0,17.0,51.0,1467.0,335.0,2017-03-13 05:31:21.000000,0.0.2.4.4,127.0,Beautiful visualizations of how language differs among document types.,146.0,138.0,10.0,22,https://pypi.org/project/scattertext,2020-12-14 02:45:48.000000,8.0,3413.0,4472.0,https://anaconda.org/conda-forge/scattertext,2020-12-18 17:48:22.333000,42364.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n465,fast-bert,kaushaltrivedi/fast-bert,fast-bert,,,nlp,,https://github.com/kaushaltrivedi/fast-bert,https://github.com/kaushaltrivedi/fast-bert,Apache-2.0,2019-04-18 22:01:20.000000,2020-12-17 21:05:51.000000,2020-12-17 21:05:43.000000,302.0,137.0,90.0,1464.0,262.0,2020-12-09 21:27:58.000000,1.9.5,40.0,Super easy library for BERT based NLP models.,2.0,,34.0,22,https://pypi.org/project/fast-bert,2020-12-09 21:27:58.000000,2.0,2050.0,2050.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n466,anaGo,Hironsan/anago,anago,,,nlp,['tensorflow'],https://github.com/Hironsan/anago,https://github.com/Hironsan/anago,MIT,2017-06-26 21:28:36.000000,2020-11-13 17:31:18.000000,2019-10-23 03:19:52.000000,347.0,36.0,71.0,1371.0,296.0,2018-06-03 13:51:56.000000,1.0.0,14.0,\"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.\",24.0,24.0,11.0,22,https://pypi.org/project/anago,2018-07-17 01:59:21.000000,,1529.0,1529.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n467,Talos,autonomio/talos,talos,,,hyperopt,['tensorflow'],https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41.000000,2020-11-21 16:37:14.000000,2020-11-21 16:27:04.000000,220.0,41.0,342.0,1346.0,538.0,2020-11-09 16:48:30.000000,1.0,13.0,\"Hyperparameter Optimization for TensorFlow, Keras and PyTorch.\",109.0,103.0,19.0,22,https://pypi.org/project/talos,2020-11-09 16:46:45.000000,6.0,1048.0,1048.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n468,NiftyNet,NifTK/NiftyNet,niftynet,,,medical-data,['tensorflow'],https://github.com/NifTK/NiftyNet,https://github.com/NifTK/NiftyNet,Apache-2.0,2017-08-30 07:55:43.000000,2020-04-21 19:54:52.000000,2020-04-21 19:54:51.000000,373.0,99.0,224.0,1258.0,2848.0,2019-10-09 19:33:30.000000,0.6.0,11.0,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,33.0,33.0,58.0,22,https://pypi.org/project/niftynet,2019-10-10 10:59:33.000000,,250.0,250.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n469,EfficientNets,rwightman/gen-efficientnet-pytorch,geffnet,,,pytorch-utils,['pytorch'],https://github.com/rwightman/gen-efficientnet-pytorch,https://github.com/rwightman/gen-efficientnet-pytorch,Apache-2.0,2019-05-11 19:35:56.000000,2020-11-30 05:51:08.000000,2020-11-30 05:49:27.000000,163.0,,46.0,1217.0,106.0,2020-08-20 19:55:21.000000,1.0.0,9.0,\"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.\",27.0,27.0,5.0,22,https://pypi.org/project/geffnet,2020-08-20 19:55:21.000000,,1186.0,1186.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n470,pandasql,yhat/pandasql,pandasql,,,data-containers,['pandas'],https://github.com/yhat/pandasql,https://github.com/yhat/pandasql,MIT,2013-02-18 01:53:56.000000,2020-08-14 13:00:13.000000,2017-02-01 15:40:30.000000,141.0,44.0,23.0,927.0,127.0,2016-04-20 21:52:36.000000,0.7.3,31.0,sqldf for pandas.,643.0,594.0,15.0,22,https://pypi.org/project/pandasql,2016-04-20 21:52:36.000000,49.0,201389.0,201389.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n471,bt,pmorissette/bt,bt,,,financial-data,,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28.000000,2020-12-18 00:48:18.000000,2020-12-18 00:48:17.000000,246.0,54.0,158.0,911.0,370.0,2018-05-28 17:12:46.000000,0.2.7,23.0,bt - flexible backtesting for Python.,60.0,40.0,20.0,22,https://pypi.org/project/bt,2018-05-28 17:12:46.000000,20.0,3585.0,3585.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n472,spacy-transformers,explosion/spacy-transformers,spacy-transformers,,,nlp,['spacy'],https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000000,2020-12-18 09:05:48.000000,2020-12-17 14:45:54.000000,97.0,48.0,132.0,857.0,1235.0,2020-06-29 12:10:14.000000,0.6.2,33.0,\"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.\",68.0,65.0,14.0,22,https://pypi.org/project/spacy-transformers,2020-10-14 12:35:57.000000,3.0,7342.0,7342.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n473,Alibi,SeldonIO/alibi,alibi,,,interpretability,,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Apache-2.0,2019-02-26 10:10:56.000000,2020-12-03 14:50:46.000000,2020-12-02 15:42:16.000000,99.0,62.0,72.0,817.0,226.0,2020-10-20 14:14:29.000000,0.5.5,15.0,Algorithms for monitoring and explaining machine learning models.,62.0,53.0,11.0,22,https://pypi.org/project/alibi,2020-10-20 14:13:40.000000,9.0,3092.0,3092.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n474,Neural Structured Learning,tensorflow/neural-structured-learning,neural-structured-learning,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/neural-structured-learning,https://github.com/tensorflow/neural-structured-learning,Apache-2.0,2019-08-27 21:48:16.000000,2020-12-24 17:07:59.000000,2020-12-14 18:50:13.000000,135.0,5.0,38.0,757.0,344.0,2020-08-18 00:30:03.000000,1.3.1,7.0,Training neural models with structured signals.,15.0,15.0,25.0,22,https://pypi.org/project/neural-structured-learning,2020-08-18 00:35:35.000000,,2331.0,2331.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n475,FinTA,peerchemist/finta,finta,,,financial-data,,https://github.com/peerchemist/finta,https://github.com/peerchemist/finta,LGPL-3.0,2016-09-01 21:02:46.000000,2020-12-17 13:15:00.000000,2020-11-04 21:30:11.000000,276.0,7.0,58.0,756.0,364.0,2020-10-21 11:36:19.000000,1.2,19.0,Common financial technical indicators implemented in Pandas.,53.0,51.0,21.0,22,https://pypi.org/project/finta,2020-10-21 11:39:44.000000,2.0,3053.0,3053.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n476,Explainability 360,Trusted-AI/AIX360,aix360,,,interpretability,,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48.000000,2020-12-04 16:51:14.000000,2020-12-04 16:49:39.000000,160.0,26.0,18.0,744.0,305.0,2020-10-28 09:32:21.000000,0.2.1,4.0,Interpretability and explainability of data and machine learning models.,13.0,12.0,27.0,22,https://pypi.org/project/aix360,2020-10-28 09:18:17.000000,1.0,565.0,565.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n477,AstroML,astroML/astroML,astroML,conda-forge/astroml,,others,['sklearn'],https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50.000000,2020-09-09 15:52:15.000000,2020-09-09 15:52:13.000000,246.0,48.0,80.0,704.0,508.0,2019-10-02 06:32:58.000000,0.4.1,10.0,\"Machine learning, statistics, and data mining for astronomy and astrophysics.\",187.0,158.0,29.0,22,https://pypi.org/project/astroML,2020-03-23 23:20:49.000000,29.0,604.0,1131.0,https://anaconda.org/conda-forge/astroml,2020-02-16 04:18:54.678000,21117.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n478,gmaps,pbugnion/gmaps,gmaps,conda-forge/gmaps,,geospatial-data,['jupyter'],https://github.com/pbugnion/gmaps,https://github.com/pbugnion/gmaps,BSD-3-Clause,2014-12-01 09:12:06.000000,2020-10-13 07:09:18.000000,2019-07-22 06:22:45.000000,141.0,63.0,135.0,691.0,1380.0,2019-07-21 08:49:48.715000,0.9.0,93.0,Google maps for Jupyter notebooks.,38.0,1.0,16.0,22,https://pypi.org/project/gmaps,2019-07-20 07:47:04.000000,37.0,3255.0,9354.0,https://anaconda.org/conda-forge/gmaps,2019-08-02 11:56:50.940000,200011.0,False,3,,,,,,,,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715000,,1448.0,,,,,,,,,,,,\n479,TreeInterpreter,andosa/treeinterpreter,treeinterpreter,,,interpretability,['sklearn'],https://github.com/andosa/treeinterpreter,https://github.com/andosa/treeinterpreter,BSD-3-Clause,2015-08-02 20:26:21.000000,2020-10-03 02:17:19.000000,2020-06-22 18:40:46.000000,127.0,18.0,1.0,630.0,34.0,2018-12-16 14:02:34.000000,0.2.2,4.0,Package for interpreting scikit-learn's decision tree and random forest predictions.,113.0,109.0,10.0,22,https://pypi.org/project/treeinterpreter,2018-12-16 14:02:34.000000,4.0,68195.0,68195.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n480,Node2Vec,eliorc/node2vec,node2vec,conda-forge/node2vec,,graph,,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000000,2020-11-28 08:59:52.000000,2020-11-28 08:54:36.000000,159.0,1.0,46.0,607.0,44.0,2020-11-28 08:59:52.000000,0.4.0,12.0,Implementation of the node2vec algorithm.,110.0,105.0,6.0,22,https://pypi.org/project/node2vec,2020-11-28 08:57:22.000000,5.0,5393.0,5884.0,https://anaconda.org/conda-forge/node2vec,2020-04-25 22:41:13.714000,15232.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n481,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,pandas-bokeh,,,data-viz,['pandas'],https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14.000000,2020-11-27 08:30:55.000000,2020-11-27 08:28:43.000000,74.0,20.0,51.0,591.0,259.0,2020-11-27 08:29:09.000000,0.5.2,13.0,Bokeh Plotting Backend for Pandas and GeoPandas.,125.0,115.0,11.0,22,https://pypi.org/project/pandas-bokeh,2020-11-27 08:30:55.000000,10.0,6847.0,6847.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n482,Prince,MaxHalford/prince,prince,,,others,['sklearn'],https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000000,2020-10-06 11:48:49.000000,2020-10-06 11:26:04.000000,108.0,24.0,64.0,546.0,178.0,2020-10-06 11:26:47.000000,0.7.1,41.0,\"Python factor analysis library (PCA, CA, MCA, MFA, FAMD).\",99.0,96.0,9.0,22,https://pypi.org/project/prince,2020-10-06 11:26:47.000000,3.0,5235.0,5235.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n483,PDPbox,SauceCat/PDPbox,pdpbox,conda-forge/pdpbox,,data-viz,,https://github.com/SauceCat/PDPbox,https://github.com/SauceCat/PDPbox,MIT,2017-06-26 08:01:54.000000,2019-07-17 16:58:38.379000,2018-12-08 10:06:13.000000,80.0,35.0,17.0,518.0,223.0,2018-07-23 13:33:35.000000,0.2.0,2.0,python partial dependence plot toolbox.,286.0,286.0,7.0,22,https://pypi.org/project/pdpbox,2018-07-23 13:33:35.000000,,45915.0,46231.0,https://anaconda.org/conda-forge/pdpbox,2019-07-17 16:58:38.379000,5378.0,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n484,Guild AI,guildai/guildai,guildai,,,ml-experiments,,https://github.com/guildai/guildai,https://github.com/guildai/guildai,Apache-2.0,2017-09-27 18:57:50.000000,2020-12-20 15:28:02.000000,2020-12-16 16:04:43.000000,44.0,93.0,143.0,514.0,4169.0,2020-12-05 17:36:38.000000,0.7.1,156.0,\"Experiment tracking, ML developer tools.\",25.0,25.0,16.0,22,https://pypi.org/project/guildai,2020-12-17 00:49:11.000000,,4868.0,4868.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n485,vega,vega/ipyvega,vega,conda-forge/vega,,data-viz,['jupyter'],https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000000,2020-12-21 11:09:06.000000,2020-12-21 11:09:04.000000,46.0,8.0,79.0,291.0,463.0,2020-05-15 23:40:02.000000,3.4.0,37.0,IPython/Jupyter notebook module for Vega and Vega-Lite.,148.0,,9.0,22,https://pypi.org/project/vega,2020-05-15 23:40:02.000000,148.0,6671.0,13574.0,https://anaconda.org/conda-forge/vega,2020-12-10 15:03:57.175000,372768.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n486,SDV,sdv-dev/SDV,sdv,,,data-loading,,https://github.com/sdv-dev/SDV,https://github.com/sdv-dev/SDV,MIT,2018-05-11 15:56:50.000000,2020-12-22 17:55:30.000000,2020-12-22 17:26:53.000000,52.0,40.0,126.0,290.0,745.0,2020-12-22 17:27:36.000000,0.6.0,33.0,\"Synthetic Data Generation for tabular, relational and time series data.\",12.0,12.0,32.0,22,https://pypi.org/project/sdv,2020-12-22 17:26:49.000000,0.0,1379.0,1379.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n487,pyvips,libvips/pyvips,pyvips,conda-forge/pyvips,,image,,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000000,2020-12-27 23:03:46.000000,2020-12-27 23:01:11.000000,25.0,67.0,129.0,282.0,390.0,2020-12-18 11:44:57.000000,2.1.14,20.0,python binding for libvips using cffi.,152.0,130.0,10.0,22,https://pypi.org/project/pyvips,2020-12-18 11:44:57.000000,22.0,3995.0,4358.0,https://anaconda.org/conda-forge/pyvips,2020-10-14 10:02:33.542000,5808.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n488,pysparkling,svenkreiss/pysparkling,pysparkling,,,data-pipelines,,https://github.com/svenkreiss/pysparkling,https://github.com/svenkreiss/pysparkling,MIT,2015-05-09 19:23:20.000000,2020-11-02 11:37:56.000000,2020-11-02 11:37:55.000000,43.0,2.0,20.0,233.0,1506.0,2019-07-13 07:23:04.000000,0.6.0,67.0,A pure Python implementation of Apache Spark's RDD and DStream interfaces.,61.0,54.0,9.0,22,https://pypi.org/project/pysparkling,2019-07-13 07:23:04.000000,7.0,6330.0,6330.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n489,SUOD,yzhao062/SUOD,suod,,,others,,https://github.com/yzhao062/SUOD,https://github.com/yzhao062/SUOD,BSD-2-Clause,2019-11-20 00:23:54.000000,2020-12-27 16:23:50.000000,2020-12-27 16:23:45.000000,26.0,4.0,,222.0,124.0,2020-04-20 19:41:31.000000,0.0.4,5.0,An Acceleration System for Large-scale Outlier Detection (Anomaly Detection).,221.0,221.0,1.0,22,https://pypi.org/project/suod,2020-04-20 19:41:31.000000,,88806.0,88806.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n490,EarthPy,earthlab/earthpy,earthpy,conda-forge/earthpy,,geospatial-data,,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000000,2020-12-24 20:03:33.000000,2020-12-03 23:03:15.000000,91.0,22.0,199.0,213.0,1066.0,2020-06-18 23:58:08.000000,0.9.2,22.0,A package built to support working with spatial data using open source python.,75.0,72.0,38.0,22,https://pypi.org/project/earthpy,2020-06-18 23:58:08.000000,3.0,1944.0,3224.0,https://anaconda.org/conda-forge/earthpy,2020-06-19 15:23:44.425000,25601.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n491,Orion,Epistimio/orion,orion,,,hyperopt,,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21.000000,2020-12-27 13:00:31.000000,2020-12-23 03:20:49.000000,35.0,15.0,97.0,178.0,2421.0,2020-12-04 17:08:50.000000,0.1.11,12.0,Asynchronous Distributed Hyperparameter Optimization.,47.0,39.0,18.0,22,https://pypi.org/project/orion,2020-12-04 17:08:50.000000,8.0,1068.0,1068.0,,,,True,3,,,,,,,,,,,,,,,,,,-1.0,,,,,,,\n492,beautifulsoup4,,beautifulsoup4,conda-forge/beautifulsoup4,,web-scraping,,,http://www.crummy.com/software/BeautifulSoup/bs4/,MIT,2017-02-22 14:59:00.739000,2020-10-03 17:19:11.351000,,,,,,,2020-10-03 15:37:19.000000,4.9.3,33.0,Screen-scraping library.,61666.0,,,22,https://pypi.org/project/beautifulsoup4,2020-10-03 15:37:19.000000,61666.0,9517560.0,9586928.0,https://anaconda.org/conda-forge/beautifulsoup4,2020-10-03 17:19:11.351000,3190970.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n493,Recommenders,microsoft/recommenders,,,,recommender-systems,,https://github.com/microsoft/recommenders,https://github.com/microsoft/recommenders,MIT,2018-09-19 10:06:07.000000,2020-12-28 01:07:35.000000,2020-11-27 17:04:52.000000,1486.0,102.0,425.0,8870.0,6206.0,2020-08-20 15:11:46.000000,2020.8,6.0,Best Practices on Recommendation Systems.,1.0,1.0,86.0,21,,,,,,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n494,cortex,cortexlabs/cortex,cortex,,,model-serialisation,,https://github.com/cortexlabs/cortex,https://github.com/cortexlabs/cortex,Apache-2.0,2019-01-24 04:43:14.000000,2020-12-25 21:19:39.000000,2020-12-25 20:48:15.000000,540.0,197.0,654.0,7143.0,1747.0,2020-12-23 06:28:31.000000,0.25.0,43.0,Run inference at scale.,0.0,,18.0,21,https://pypi.org/project/cortex,2020-12-23 06:21:32.000000,0.0,806.0,806.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n495,mace,XiaoMi/mace,,,,ml-frameworks,,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12.000000,2020-12-23 12:23:52.000000,2020-12-23 10:07:32.000000,744.0,37.0,580.0,4249.0,3078.0,2020-12-23 12:23:52.000000,1.0.1,8.0,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,,,54.0,21,,,,,45.0,,,,True,3,1277.0,,,,,,,,,,,,,,,,,,,,,,,,\n496,MMF,facebookresearch/mmf,mmf,,,image,['pytorch'],https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40.000000,2020-12-18 19:30:44.000000,2020-12-18 19:26:49.000000,587.0,90.0,315.0,4012.0,755.0,2019-08-26 19:04:21.000000,0.3.1,11.0,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,6.0,6.0,50.0,21,https://pypi.org/project/mmf,2020-06-11 16:09:52.000000,,261.0,261.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n497,MatchZoo,NTMC-Community/MatchZoo,matchzoo,,,nlp,['tensorflow'],https://github.com/NTMC-Community/MatchZoo,https://github.com/NTMC-Community/MatchZoo,Apache-2.0,2017-06-08 08:55:22.000000,2020-06-17 07:27:59.000000,2019-10-24 13:10:07.000000,858.0,26.0,427.0,3306.0,1808.0,2019-10-24 13:09:11.000000,2.2.0,5.0,\"Facilitating the design, comparison and sharing of deep text matching models.\",9.0,9.0,35.0,21,https://pypi.org/project/matchzoo,2019-10-24 13:09:11.000000,,301.0,301.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n498,NLP Architect,IntelLabs/nlp-architect,nlp-architect,,,nlp,,https://github.com/IntelLabs/nlp-architect,https://github.com/IntelLabs/nlp-architect,Apache-2.0,2018-05-17 21:00:13.000000,2020-12-25 04:00:43.000000,2020-11-26 15:35:15.000000,394.0,16.0,103.0,2564.0,946.0,2020-11-17 12:32:37.000000,0.5.5.1,13.0,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,6.0,6.0,35.0,21,https://pypi.org/project/nlp-architect,2020-04-12 11:34:38.000000,,272.0,272.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n499,Image Super-Resolution,idealo/image-super-resolution,ISR,,,image,['tensorflow'],https://github.com/idealo/image-super-resolution,https://github.com/idealo/image-super-resolution,Apache-2.0,2018-11-26 13:41:13.000000,2020-11-11 15:09:20.000000,2020-11-11 15:09:19.000000,454.0,46.0,95.0,2372.0,138.0,2020-01-08 15:37:35.000000,2.2.0,11.0,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,39.0,35.0,9.0,21,https://pypi.org/project/ISR,2020-01-08 15:37:35.000000,4.0,2738.0,2742.0,,,,True,3,,,,idealo/image-super-resolution-gpu,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,,112.0,,,,,,,,,,,,,,,,,\n500,tensorflow-graphics,tensorflow/graphics,tensorflow-graphics,,,image,['tensorflow'],https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44.000000,2020-12-27 02:09:59.000000,2020-10-30 10:26:19.000000,262.0,87.0,81.0,2368.0,566.0,2020-05-20 19:56:41.000000,2020.5.20,21.0,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,3.0,,30.0,21,https://pypi.org/project/tensorflow-graphics,2020-05-20 19:56:41.000000,3.0,824.0,824.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n501,Luminoth,tryolabs/luminoth,luminoth,,,image,['tensorflow'],https://github.com/tryolabs/luminoth,https://github.com/tryolabs/luminoth,BSD-3-Clause,2017-02-16 15:07:46.000000,2020-12-24 21:01:24.000000,2020-01-07 20:53:25.000000,401.0,50.0,127.0,2332.0,838.0,2018-10-31 22:19:52.000000,0.2.3,10.0,Deep Learning toolkit for Computer Vision.,27.0,27.0,15.0,21,https://pypi.org/project/luminoth,2018-11-09 21:35:17.000000,,525.0,816.0,,,,True,3,11091.0,,,,,,,,,,,,,,,,,,,,,,,,\n502,NeMo,NVIDIA/NeMo,nemo-toolkit,,,nlp,['pytorch'],https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000000,2020-12-27 14:29:32.000000,2020-12-26 04:18:17.000000,356.0,159.0,234.0,2272.0,,2020-07-10 00:01:18.000000,0.11.0,36.0,NeMo: a toolkit for conversational AI.,4.0,,67.0,21,https://pypi.org/project/nemo-toolkit,2020-12-11 21:33:53.000000,4.0,2002.0,2049.0,,,,True,3,717.0,,,,,,,,,,,,,,,,,,,,,,,,\n503,Porcupine,Picovoice/Porcupine,pvporcupine,,,audio,,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000000,2020-12-24 00:28:35.000000,2020-12-24 00:28:34.000000,323.0,8.0,260.0,2265.0,334.0,2020-12-02 15:34:40.000000,1.9,13.0,On-device wake word detection powered by deep learning.,4.0,4.0,25.0,21,https://pypi.org/project/pvporcupine,2020-10-02 19:16:49.000000,0.0,824.0,824.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n504,DeepVariant,google/deepvariant,,bioconda/deepvariant,,medical-data,['tensorflow'],https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000000,2020-12-14 23:35:28.000000,2020-12-14 23:35:27.000000,520.0,3.0,362.0,2143.0,1503.0,2020-12-07 17:56:31.000000,1.1.0,15.0,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,,,19.0,21,,,,,815.0,https://anaconda.org/bioconda/deepvariant,2020-09-05 07:25:11.429000,25711.0,True,3,2948.0,,,,,,,,,,,,,,,,,,,,,,,,\n505,Texar,asyml/texar,texar,,,nlp,['tensorflow'],https://github.com/asyml/texar,https://github.com/asyml/texar,Apache-2.0,2017-07-22 19:02:05.000000,2020-09-17 07:03:55.000000,2020-07-29 00:38:30.000000,327.0,32.0,126.0,2074.0,1719.0,2019-11-19 04:11:18.000000,0.2.4,6.0,\"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the..\",14.0,12.0,41.0,21,https://pypi.org/project/texar,2019-11-19 04:11:18.000000,2.0,72.0,72.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n506,TensorTrade,tensortrade-org/tensortrade,tensortrade,,,financial-data,,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32.000000,2020-12-28 01:02:15.000000,2020-12-20 18:27:19.000000,535.0,33.0,114.0,2031.0,838.0,,,25.0,\"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.\",10.0,9.0,44.0,21,https://pypi.org/project/tensortrade,2020-08-24 18:26:46.000000,1.0,724.0,724.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n507,Texthero,jbesomi/texthero,texthero,,,nlp,,https://github.com/jbesomi/texthero,https://github.com/jbesomi/texthero,MIT,2020-04-06 15:16:05.000000,2020-12-09 16:49:27.000000,2020-11-03 07:58:36.000000,177.0,73.0,47.0,2014.0,267.0,2020-07-06 20:32:28.000000,1.0.9,9.0,\"Text preprocessing, representation and visualization from zero to hero.\",,,18.0,21,https://pypi.org/project/texthero,2020-07-06 20:29:25.000000,,3140.0,3147.0,,,,True,3,57.0,,,,,,,,,,,,,,,,,,,,,,,,\n508,TF Ranking,tensorflow/ranking,tensorflow_ranking,,,recommender-systems,['tensorflow'],https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57.000000,2020-08-29 04:38:20.000000,2020-08-19 20:44:22.000000,351.0,22.0,193.0,1995.0,213.0,2020-08-19 21:58:05.000000,0.3.2,14.0,Learning to Rank in TensorFlow.,1.0,,17.0,21,https://pypi.org/project/tensorflow_ranking,2020-08-19 21:14:13.000000,1.0,20351.0,20351.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n509,knockknock,huggingface/knockknock,knockknock,conda-forge/knockknock,,ml-experiments,,https://github.com/huggingface/knockknock,https://github.com/huggingface/knockknock,MIT,2019-03-20 13:08:55.000000,2020-07-31 11:55:05.000000,2020-03-16 04:26:47.000000,152.0,12.0,21.0,1909.0,75.0,2020-03-04 04:15:47.000000,0.1.8,10.0,Knock Knock: Get notified when your training ends with only two additional lines of code.,123.0,120.0,18.0,21,https://pypi.org/project/knockknock,2020-03-16 14:30:23.000000,3.0,1190.0,1561.0,https://anaconda.org/conda-forge/knockknock,2020-03-17 01:52:16.317000,5203.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n510,cleanlab,cgnorthcutt/cleanlab,cleanlab,,,others,,https://github.com/cgnorthcutt/cleanlab,https://github.com/cgnorthcutt/cleanlab,MIT,2018-05-11 01:55:21.000000,2020-12-11 06:18:10.000000,2020-12-11 06:18:09.000000,149.0,16.0,35.0,1385.0,695.0,2020-02-17 07:33:06.000000,0.1.1,15.0,The standard package for machine learning with noisy labels and finding mislabeled data in Python.,8.0,8.0,5.0,21,https://pypi.org/project/cleanlab,2020-02-17 07:33:06.000000,,2151.0,2151.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n511,Magnitude,plasticityai/magnitude,pymagnitude,,,nn-search,,https://github.com/plasticityai/magnitude,https://github.com/plasticityai/magnitude,MIT,2018-02-24 07:28:16.000000,2020-07-17 20:19:50.000000,2020-07-17 20:19:46.000000,97.0,24.0,50.0,1372.0,350.0,2020-05-25 11:26:36.000000,0.1.143,128.0,\"A fast, efficient universal vector embedding utility package.\",181.0,167.0,4.0,21,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36.000000,14.0,5568.0,5568.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n512,DELTA,Delta-ML/delta,delta-nlp,,,nlp,['tensorflow'],https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57.000000,2020-12-27 15:36:37.139857,2020-12-17 06:57:15.000000,269.0,9.0,64.0,1353.0,932.0,2020-07-16 09:31:45.000000,0.3.3,4.0,DELTA is a deep learning based natural language and speech processing platform.,,,41.0,21,https://pypi.org/project/delta-nlp,2020-03-27 04:46:19.000000,,31.0,641.0,,,,True,3,,,,zh794390558/delta,https://hub.docker.com/r/zh794390558/delta,2020-12-27 15:36:37.139857,,11606.0,,,,,,,,,,,,,,,,,\n513,TensorFlow Privacy,tensorflow/privacy,tensorflow-privacy,,,privacy-ml,['tensorflow'],https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000000,2020-12-23 18:14:40.000000,2020-12-23 18:14:36.000000,259.0,39.0,74.0,1290.0,427.0,2020-09-03 01:13:47.000000,.0.5.1,9.0,Library for training machine learning models with privacy for training data.,1.0,,33.0,21,https://pypi.org/project/tensorflow-privacy,2020-09-03 01:10:15.000000,1.0,4293.0,4295.0,,,,True,2,41.0,,,,,,,,,,,,,,,,,,,,,,,,\n514,Neural Tangents,google/neural-tangents,neural-tangents,,,ml-frameworks,,https://github.com/google/neural-tangents,https://github.com/google/neural-tangents,Apache-2.0,2019-04-08 16:48:48.000000,2020-12-24 19:57:36.000000,2020-12-24 19:57:28.000000,135.0,27.0,49.0,1250.0,340.0,2020-11-18 04:34:54.000000,0.3.5,19.0,Fast and Easy Infinite Neural Networks in Python.,12.0,12.0,16.0,21,https://pypi.org/project/neural-tangents,2020-11-18 04:23:35.000000,,675.0,685.0,,,,True,3,65.0,,,,,,,,,,,,,,,,,,,,,,,,\n515,Pypeline,cgarciae/pypeln,pypeln,,,data-pipelines,,https://github.com/cgarciae/pypeln,https://github.com/cgarciae/pypeln,MIT,2018-09-01 13:43:31.000000,2020-11-14 00:02:17.000000,2020-11-13 23:36:42.000000,64.0,11.0,34.0,1183.0,227.0,2020-10-11 21:02:19.000000,0.4.6,33.0,Concurrent data pipelines in Python .,5.0,,8.0,21,https://pypi.org/project/pypeln,2020-10-11 21:01:30.000000,5.0,2261.0,2261.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n516,Torchmeta,tristandeleu/pytorch-meta,torchmeta,,,pytorch-utils,['pytorch'],https://github.com/tristandeleu/pytorch-meta,https://github.com/tristandeleu/pytorch-meta,MIT,2018-12-04 23:36:45.000000,2020-11-25 16:45:01.000000,2020-11-25 16:41:48.000000,129.0,19.0,69.0,1153.0,341.0,2020-11-25 16:45:01.000000,1.6.1,26.0,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.,23.0,23.0,10.0,21,https://pypi.org/project/torchmeta,2020-11-25 16:45:01.000000,,596.0,596.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n517,tensorrec,jfkirk/tensorrec,tensorrec,,,recommender-systems,['tensorflow'],https://github.com/jfkirk/tensorrec,https://github.com/jfkirk/tensorrec,Apache-2.0,2017-02-28 18:51:11.000000,2020-07-30 02:47:12.000000,2020-02-04 21:10:25.000000,205.0,32.0,90.0,1112.0,334.0,2019-04-02 00:53:47.000000,0.26.2,30.0,A TensorFlow recommendation algorithm and framework in Python.,23.0,22.0,8.0,21,https://pypi.org/project/tensorrec,2019-04-02 00:53:47.000000,1.0,1121.0,1121.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n518,Skater,oracle/Skater,skater,conda-forge/skater,,interpretability,,https://github.com/oracle/Skater,https://github.com/oracle/Skater,UPL-1.0,2017-01-26 05:45:42.000000,2020-11-01 15:57:12.273000,2020-06-29 20:07:12.000000,156.0,62.0,97.0,956.0,1101.0,2018-09-21 07:03:32.000000,1.1.2,23.0,Python Library for Model Interpretation/Explanations.,,,34.0,21,https://pypi.org/project/skater,2018-09-21 07:03:32.000000,,7402.0,8164.0,https://anaconda.org/conda-forge/skater,2020-11-01 15:57:12.273000,32019.0,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n519,attention-ocr,emedvedev/attention-ocr,aocr,,,ocr,['tensorflow'],https://github.com/emedvedev/attention-ocr,https://github.com/emedvedev/attention-ocr,MIT,2017-07-21 18:35:19.000000,2020-10-31 19:40:20.000000,2020-10-31 19:40:19.000000,225.0,16.0,125.0,822.0,196.0,2020-10-12 06:56:40.000000,0.7.6,21.0,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,15.0,15.0,27.0,21,https://pypi.org/project/aocr,2019-04-19 05:28:27.000000,,130.0,130.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n520,TFEncrypted,tf-encrypted/tf-encrypted,tf-encrypted,,,privacy-ml,['tensorflow'],https://github.com/tf-encrypted/tf-encrypted,https://github.com/tf-encrypted/tf-encrypted,Apache-2.0,2018-03-21 18:22:13.000000,2020-11-19 15:48:03.000000,2020-08-19 16:56:56.000000,133.0,162.0,230.0,805.0,595.0,2019-09-27 20:00:01.000000,0.5.9,35.0,A Framework for Encrypted Machine Learning in TensorFlow.,54.0,46.0,28.0,21,https://pypi.org/project/tf-encrypted,2019-10-21 18:05:53.000000,8.0,531.0,531.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n521,scikit-cuda,lebedov/scikit-cuda,scikit-cuda,,,gpu-utilities,,https://github.com/lebedov/scikit-cuda,https://github.com/lebedov/scikit-cuda,BSD-3-Clause,2010-09-27 02:02:07.000000,2020-07-13 12:48:39.000000,2020-07-13 12:47:46.000000,154.0,36.0,163.0,787.0,1026.0,2019-05-27 00:29:00.000000,0.5.3,7.0,Python interface to GPU-powered libraries.,143.0,112.0,44.0,21,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00.000000,31.0,642.0,642.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n522,tf-explain,sicara/tf-explain,tf-explain,,,interpretability,['tensorflow'],https://github.com/sicara/tf-explain,https://github.com/sicara/tf-explain,MIT,2019-07-15 08:26:24.000000,2020-11-03 07:30:20.000000,2020-07-24 08:03:58.000000,66.0,33.0,41.0,745.0,192.0,2020-02-14 09:00:00.000000,0.2.1,6.0,Interpretability Methods for tf.keras models with Tensorflow 2.x.,57.0,56.0,11.0,21,https://pypi.org/project/tf-explain,2020-02-14 09:04:51.000000,1.0,1132.0,1132.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n523,iNNvestigate,albermax/innvestigate,innvestigate,,,interpretability,['tensorflow'],https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20.000000,2020-11-14 11:35:59.000000,2020-10-16 15:26:56.000000,168.0,71.0,126.0,737.0,882.0,2019-03-19 14:31:31.000000,1.0.9,2.0,A toolbox to iNNvestigate neural networks' predictions!.,43.0,42.0,18.0,21,https://pypi.org/project/innvestigate,2020-11-14 11:35:59.000000,1.0,463.0,463.0,,,,True,3,,,,,,,,,,,,,,,,,,1.0,,,,,,,\n524,Darts,unit8co/darts,u8darts,,,time-series-data,,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000000,2020-12-25 19:49:15.000000,2020-11-09 15:33:02.000000,81.0,15.0,40.0,677.0,284.0,2020-11-09 16:00:41.000000,0.5.0,8.0,A python library for easy manipulation and forecasting of time series.,10.0,10.0,23.0,21,https://pypi.org/project/u8darts,2020-11-09 16:00:41.000000,,995.0,997.0,,,,True,3,,,,unit8/darts,https://hub.docker.com/r/unit8/darts,2020-10-06 11:35:55.085411,,75.0,,,,,,,,,,,,,,,,,\n525,ogb,snap-stanford/ogb,ogb,,,graph,,https://github.com/snap-stanford/ogb,https://github.com/snap-stanford/ogb,MIT,2019-11-22 22:13:57.000000,2020-12-28 01:30:56.000000,2020-10-29 19:13:11.000000,91.0,2.0,84.0,674.0,375.0,2020-09-12 19:08:09.000000,1.2.3,8.0,\"Benchmark datasets, data loaders, and evaluators for graph machine learning.\",36.0,36.0,12.0,21,https://pypi.org/project/ogb,2020-08-12 06:23:06.000000,,1566.0,1566.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n526,TensorBoard Logger,TeamHG-Memex/tensorboard_logger,tensorboard_logger,,,ml-experiments,,https://github.com/TeamHG-Memex/tensorboard_logger,https://github.com/TeamHG-Memex/tensorboard_logger,MIT,2016-10-27 14:02:25.000000,2020-10-27 20:51:06.000000,2019-10-21 07:52:07.000000,52.0,9.0,15.0,609.0,46.0,2018-02-08 07:28:51.000000,0.1.0,5.0,Log TensorBoard events without touching TensorFlow.,42.0,,5.0,21,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51.000000,42.0,60803.0,60803.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n527,Sentinelsat,sentinelsat/sentinelsat,sentinelsat,,,geospatial-data,,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26.000000,2020-12-27 17:51:42.000000,2020-11-10 08:08:09.000000,162.0,29.0,204.0,528.0,769.0,2020-06-12 07:15:51.000000,0.14,36.0,Search and download Copernicus Sentinel satellite images.,176.0,154.0,33.0,21,https://pypi.org/project/sentinelsat,2020-06-12 07:08:37.000000,22.0,8052.0,8055.0,,,,False,3,186.0,,,,,,,,,,,,,,,,,-1.0,,,,,,,\n528,pickleDB,patx/pickledb,pickledb,,,data-containers,,https://github.com/patx/pickledb,https://github.com/patx/pickledb,BSD-3-Clause,2011-10-28 00:04:40.000000,2020-08-25 09:47:52.000000,2019-11-15 03:38:30.000000,91.0,16.0,39.0,526.0,105.0,2019-01-13 22:40:32.000000,0.9.1,19.0,pickleDB is an open source key-value store using Python's json module.,524.0,422.0,11.0,21,https://pypi.org/project/pickledb,2019-01-13 22:40:32.000000,102.0,17043.0,17043.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n529,Studio.ml,studioml/studio,studioml,,,ml-experiments,,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28.000000,2020-12-17 01:37:51.000000,2020-12-17 01:27:05.000000,47.0,57.0,187.0,367.0,2309.0,2020-12-17 01:37:51.000000,0.0.36,171.0,Studio: Simplify and expedite model building process.,2.0,2.0,21.0,21,https://pypi.org/project/studioml,2020-12-17 01:37:51.000000,,1254.0,1254.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n530,Pandas Summary,mouradmourafiq/pandas-summary,pandas-summary,,,data-containers,['pandas'],https://github.com/mouradmourafiq/pandas-summary,https://github.com/mouradmourafiq/pandas-summary,MIT,2016-03-25 21:59:32.000000,2019-08-24 21:10:25.000000,2019-08-24 21:10:24.000000,33.0,8.0,5.0,358.0,24.0,2016-08-30 07:54:59.000000,0.0.41,8.0,An extension to pandas dataframes describe function.,562.0,543.0,6.0,21,https://pypi.org/project/pandas-summary,2016-08-30 07:54:59.000000,19.0,16418.0,16418.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n531,PyNNDescent,lmcinnes/pynndescent,pynndescent,conda-forge/pynndescent,,nn-search,,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000000,2020-11-28 21:20:02.000000,2020-11-28 21:19:56.000000,43.0,26.0,27.0,349.0,453.0,2020-11-19 20:20:48.000000,0.5.1,20.0,A Python nearest neighbor descent for approximate nearest neighbors.,3.0,,10.0,21,https://pypi.org/project/pynndescent,2020-11-19 20:20:48.000000,3.0,7171.0,8266.0,https://anaconda.org/conda-forge/pynndescent,2020-11-19 22:20:12.326000,19719.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n532,Neuraxle,Neuraxio/Neuraxle,neuraxle,,,hyperopt,,https://github.com/Neuraxio/Neuraxle,https://github.com/Neuraxio/Neuraxle,Apache-2.0,2019-03-26 21:01:54.000000,2020-12-24 21:58:07.000000,2020-12-09 04:28:21.000000,39.0,118.0,125.0,342.0,1285.0,2020-09-20 16:29:39.000000,0.5.6,18.0,A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right..,17.0,17.0,7.0,21,https://pypi.org/project/neuraxle,2020-09-20 16:29:39.000000,0.0,409.0,409.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n533,PyTorch Sparse,rusty1s/pytorch_sparse,torch-sparse,,,pytorch-utils,['pytorch'],https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53.000000,2020-12-01 08:48:36.000000,2020-12-01 08:48:19.000000,42.0,32.0,44.0,326.0,504.0,2020-11-02 10:42:59.000000,0.6.8,21.0,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,17.0,,11.0,21,https://pypi.org/project/torch-sparse,2020-11-02 10:43:20.000000,17.0,4259.0,4259.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n534,torch-cluster,rusty1s/pytorch_cluster,torch-cluster,,,graph,['pytorch'],https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06.000000,2020-12-07 09:11:31.000000,2020-12-07 09:11:30.000000,61.0,34.0,37.0,313.0,498.0,2020-10-31 14:42:35.000000,1.5.8,38.0,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,16.0,,17.0,21,https://pypi.org/project/torch-cluster,2020-10-31 14:42:35.000000,16.0,3069.0,3069.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n535,BioPandas,rasbt/biopandas,biopandas,conda-forge/biopandas,,others,['pandas'],https://github.com/rasbt/biopandas,https://github.com/rasbt/biopandas,BSD-3-Clause,2015-11-21 00:00:14.000000,2020-11-09 18:19:23.000000,2020-11-09 18:19:22.000000,75.0,16.0,18.0,311.0,142.0,2020-08-04 13:52:27.000000,0.2.7,11.0,Working with molecular structures in pandas DataFrames.,49.0,46.0,7.0,21,https://pypi.org/project/biopandas,2020-08-04 13:49:59.000000,3.0,344.0,1610.0,https://anaconda.org/conda-forge/biopandas,2020-08-08 06:33:59.197000,60801.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n536,NIPY,nipy/nipy,nipy,conda-forge/nipy,,medical-data,,https://github.com/nipy/nipy,https://github.com/nipy/nipy,DSDP,2010-05-02 10:00:33.000000,2020-11-24 19:22:47.000000,2020-10-14 22:51:30.000000,116.0,38.0,104.0,289.0,6371.0,2018-02-19 14:14:08.000000,0.4.2,6.0,Neuroimaging in Python FMRI analysis package.,29.0,,63.0,21,https://pypi.org/project/nipy,2018-02-19 14:14:08.000000,29.0,906.0,2606.0,https://anaconda.org/conda-forge/nipy,2020-05-04 19:38:04.112000,69714.0,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n537,caer,jasmcaus/caer,caer,,,image,,https://github.com/jasmcaus/caer,https://github.com/jasmcaus/caer,MIT,2020-08-06 18:36:14.000000,2020-12-18 09:43:18.000000,2020-12-15 13:05:47.000000,32.0,4.0,5.0,280.0,4754.0,2020-12-09 06:54:27.000000,1.9.4,105.0,\"A lightweight, scalable, GPU-accelerated Computer Vision library for high-performance AI research.\",,,2.0,21,https://pypi.org/project/caer,2020-12-09 06:52:51.000000,,620028.0,620030.0,,,,True,3,10.0,,,,,,,,,,,,,,,,,,,,,,,,\n538,pymap3d,geospace-code/pymap3d,pymap3d,conda-forge/pymap3d,,geospatial-data,,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03.000000,2020-12-23 03:44:01.000000,2020-12-23 03:43:54.000000,55.0,2.0,22.0,167.0,622.0,2020-09-21 15:20:10.000000,2.4.3,45.0,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,3.0,,8.0,21,https://pypi.org/project/pymap3d,2020-09-21 15:16:49.000000,3.0,13953.0,14593.0,https://anaconda.org/conda-forge/pymap3d,2020-09-24 05:54:07.357000,5764.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n539,gokart,m3dev/gokart,gokart,,,ml-experiments,,https://github.com/m3dev/gokart,https://github.com/m3dev/gokart,MIT,2018-12-23 07:40:27.000000,2020-12-27 06:31:36.000000,2020-12-27 06:31:35.000000,30.0,9.0,18.0,154.0,306.0,2020-12-21 12:17:37.000000,0.3.21,45.0,A wrapper of the data pipeline library luigi.,30.0,28.0,24.0,21,https://pypi.org/project/gokart,2020-02-25 06:01:19.000000,2.0,843.0,843.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n540,filedepot,amol-/depot,filedepot,,,db-clients,,https://github.com/amol-/depot,https://github.com/amol-/depot,MIT,2014-06-04 10:27:12.000000,2020-07-27 18:27:16.000000,2020-07-27 18:22:42.000000,32.0,6.0,33.0,119.0,257.0,2020-07-27 18:26:46.000000,0.8.0,23.0,Toolkit for storing files and attachments in web applications.,307.0,219.0,18.0,21,https://pypi.org/project/filedepot,2020-07-27 18:27:16.000000,88.0,1982.0,1982.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n541,Photon,s0md3v/Photon,photon,,,web-scraping,,https://github.com/s0md3v/Photon,https://github.com/s0md3v/Photon,GPL-3.0,2018-03-30 19:38:22.000000,2020-10-28 14:01:02.000000,2019-12-06 14:59:47.000000,987.0,33.0,65.0,7418.0,324.0,2019-04-05 15:15:47.000000,1.3.0,18.0,Incredibly fast crawler designed for OSINT.,5.0,,21.0,20,https://pypi.org/project/photon,2019-01-25 01:13:36.000000,5.0,736.0,736.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n542,cuDF,rapidsai/cudf,cudf,,,gpu-utilities,,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000000,2020-12-23 06:37:26.000000,2020-12-23 06:37:25.000000,470.0,565.0,2685.0,3560.0,,2020-12-10 17:28:54.000000,0.17.0,5.0,cuDF - GPU DataFrame Library.,2.0,,197.0,20,https://pypi.org/project/cudf,2020-06-01 20:07:47.000000,2.0,828.0,828.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n543,DeepMatcher,anhaidgroup/deepmatcher,deepmatcher,,,nlp,,https://github.com/anhaidgroup/deepmatcher,https://github.com/anhaidgroup/deepmatcher,BSD-3-Clause,2017-12-01 19:01:11.000000,2020-09-27 17:25:56.000000,2020-04-20 02:34:24.000000,1256.0,47.0,15.0,3326.0,169.0,2019-12-30 19:49:33.000000,0.1.1,9.0,Python package for performing Entity and Text Matching using Deep Learning.,9.0,9.0,7.0,20,https://pypi.org/project/deepmatcher,2019-12-30 19:49:33.000000,,263.0,263.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n544,AutoScraper,alirezamika/autoscraper,autoscraper,,,web-scraping,,https://github.com/alirezamika/autoscraper,https://github.com/alirezamika/autoscraper,MIT,2020-08-31 12:02:19.000000,2020-12-15 09:03:03.000000,2020-12-15 09:03:02.000000,290.0,3.0,24.0,3148.0,124.0,2020-11-29 13:02:41.000000,1.1.10,13.0,\"A Smart, Automatic, Fast and Lightweight Web Scraper for Python.\",18.0,18.0,6.0,20,https://pypi.org/project/autoscraper,2020-11-29 13:03:11.000000,,878.0,878.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n545,MindsDB,mindsdb/mindsdb,mindsdb,,,ml-frameworks,['pytorch'],https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,GPL-3.0,2018-08-02 17:56:45.000000,2020-12-27 11:35:51.000000,2020-12-25 08:31:25.000000,405.0,36.0,461.0,3116.0,,2020-12-25 13:03:50.000000,2.17.1,42.0,Predictive AI layer for existing databases.,3.0,,55.0,20,https://pypi.org/project/mindsdb,2019-03-19 05:07:23.000000,3.0,2146.0,2146.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n546,TRFL,deepmind/trfl,trfl,,,reinforcement-learning,['tensorflow'],https://github.com/deepmind/trfl,https://github.com/deepmind/trfl,Apache-2.0,2018-08-08 14:44:11.000000,2020-11-06 04:44:44.000000,2020-04-20 13:05:56.000000,363.0,4.0,16.0,3057.0,116.0,2020-04-20 14:11:57.000000,1.1.0,4.0,TensorFlow Reinforcement Learning.,38.0,36.0,12.0,20,https://pypi.org/project/trfl,2020-04-20 14:11:57.000000,2.0,672.0,672.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n547,DALI,NVIDIA/DALI,,,,gpu-utilities,,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000000,2020-12-22 01:07:51.000000,2020-12-18 19:33:46.000000,356.0,179.0,576.0,3002.0,1643.0,2020-11-30 15:46:55.000000,0.28.0,34.0,A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep..,,,53.0,20,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n548,FATE,FederatedAI/FATE,,,,privacy-ml,,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000000,2020-12-25 03:49:23.000000,2020-12-22 11:46:12.000000,757.0,248.0,518.0,2638.0,6600.0,2020-11-13 13:36:14.000000,1.5.0,24.0,An Industrial Grade Federated Learning Framework.,,,50.0,20,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n549,BytePS,bytedance/byteps,byteps,,,distributed-ml,,https://github.com/bytedance/byteps,https://github.com/bytedance/byteps,Apache-2.0,2019-06-25 07:00:13.000000,2020-12-14 06:23:38.000000,2020-12-06 21:02:44.000000,358.0,68.0,129.0,2587.0,407.0,2020-08-27 15:42:13.000000,0.2.4,7.0,A high performance and generic framework for distributed DNN training.,,,16.0,20,https://pypi.org/project/byteps,2020-11-04 00:05:46.000000,,149.0,200.0,,,,True,3,,,,bytepsimage/tensorflow,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,933.0,,,,,,,,,,,,,,,,,\n550,StreamAlert,airbnb/streamalert,,,,others,,https://github.com/airbnb/streamalert,https://github.com/airbnb/streamalert,Apache-2.0,2017-01-22 01:10:56.000000,2020-10-27 21:18:35.000000,2020-10-05 21:15:11.000000,280.0,90.0,247.0,2435.0,1892.0,2020-10-05 21:50:56.000000,3.4.1,27.0,\"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data..\",,,30.0,20,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n551,finmarketpy,cuemacro/finmarketpy,finmarketpy,,,financial-data,,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03.000000,2020-12-26 18:45:33.000000,2020-12-26 18:45:28.000000,411.0,21.0,3.0,2412.0,642.0,2020-10-20 09:25:52.000000,0.11.7,8.0,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,3.0,3.0,14.0,20,https://pypi.org/project/finmarketpy,2020-10-20 09:28:00.000000,,87.0,87.0,,,,True,3,39.0,,,,,,,,,,,,,,,,,,,,,,,,\n552,Kashgari,BrikerMan/Kashgari,kashgari-tf,,,nlp,['tensorflow'],https://github.com/BrikerMan/Kashgari,https://github.com/BrikerMan/Kashgari,Apache-2.0,2019-01-19 01:53:28.000000,2020-12-09 02:13:33.000000,2020-10-29 08:08:00.000000,372.0,30.0,296.0,1975.0,,2020-10-30 12:37:01.000000,2.0.1,23.0,Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-..,20.0,19.0,19.0,20,https://pypi.org/project/kashgari-tf,2019-06-26 12:27:50.000000,1.0,194.0,194.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n553,auto_ml,ClimbsRocks/auto_ml,auto_ml,,,hyperopt,,https://github.com/ClimbsRocks/auto_ml,https://github.com/ClimbsRocks/auto_ml,MIT,2016-08-07 21:35:08.000000,2020-05-19 22:45:27.000000,2018-03-25 19:46:25.000000,283.0,176.0,215.0,1511.0,1149.0,2018-02-22 01:13:03.000000,2.9.10,78.0,[UNMAINTAINED] Automated machine learning for analytics & production.,1.0,,13.0,20,https://pypi.org/project/auto_ml,2018-02-22 01:13:03.000000,1.0,2203.0,2203.0,,,,False,3,33.0,,,,,,,,,,,,,,,,,,,,,,,,\n554,AmpliGraph,Accenture/AmpliGraph,ampligraph,,,graph,['tensorflow'],https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05.000000,2020-08-25 17:19:24.000000,2020-08-25 17:00:58.000000,153.0,18.0,155.0,1391.0,895.0,2020-08-25 17:06:46.000000,1.3.2,11.0,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,9.0,9.0,14.0,20,https://pypi.org/project/ampligraph,2020-08-25 16:59:58.000000,,566.0,566.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n555,reformer-pytorch,lucidrains/reformer-pytorch,reformer-pytorch,,,pytorch-utils,['pytorch'],https://github.com/lucidrains/reformer-pytorch,https://github.com/lucidrains/reformer-pytorch,MIT,2020-01-09 20:42:37.000000,2020-12-11 17:49:44.000000,2020-12-11 17:49:36.000000,157.0,1.0,92.0,1273.0,236.0,2020-12-06 23:07:32.000000,1.2.4,132.0,\"Reformer, the efficient Transformer, in Pytorch.\",,,9.0,20,https://pypi.org/project/reformer-pytorch,2020-12-06 23:08:09.000000,,882.0,882.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n556,ThunderSVM,Xtra-Computing/thundersvm,thundersvm,,,ml-frameworks,,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04.000000,2020-12-14 03:08:11.000000,2020-12-14 03:08:11.000000,164.0,42.0,144.0,1247.0,896.0,2020-03-13 12:36:30.000000,0.3.12,9.0,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,,,33.0,20,https://pypi.org/project/thundersvm,2020-03-13 12:36:30.000000,,353.0,395.0,,,,True,3,2068.0,,,,,,,,,,,,,,,,,,,,,,,,\n557,db.py,yhat/db.py,db.py,,,db-clients,,https://github.com/yhat/db.py,https://github.com/yhat/db.py,BSD-2-Clause,2014-10-26 15:36:57.000000,2019-12-13 18:00:10.000000,2017-03-31 14:41:30.000000,110.0,32.0,21.0,1205.0,233.0,2017-03-31 14:41:57.000000,0.5.3,35.0,db.py is an easier way to interact with your databases.,19.0,,24.0,20,https://pypi.org/project/db.py,2017-03-31 14:41:57.000000,19.0,695.0,695.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n558,Karate Club,benedekrozemberczki/karateclub,karateclub,,,graph,,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56.000000,2020-12-21 20:52:07.000000,2020-12-21 20:51:56.000000,129.0,,46.0,1095.0,2094.0,2020-12-01 21:11:27.000000,_10022,95.0,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,19.0,19.0,11.0,20,https://pypi.org/project/karateclub,2020-12-01 21:08:09.000000,,5168.0,5168.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,,,\n559,datatable,h2oai/datatable,datatable,,,data-containers,,https://github.com/h2oai/datatable,https://github.com/h2oai/datatable,MPL-2.0,2017-03-03 02:32:59.000000,2020-12-22 20:01:37.000000,2020-12-18 17:52:58.000000,95.0,112.0,1101.0,1076.0,,2020-12-10 09:10:50.000000,0.11.1,15.0,A Python package for manipulating 2-dimensional tabular data structures.,6.0,,28.0,20,https://pypi.org/project/datatable,2020-12-10 08:04:03.000000,6.0,16022.0,16039.0,,,,True,3,710.0,,,,,,,,,,,,,,,,,,,,,,,,\n560,FARM,deepset-ai/FARM,farm,,,nlp,['pytorch'],https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12.000000,2020-12-27 21:31:29.000000,2020-12-23 11:36:31.000000,144.0,32.0,277.0,1057.0,507.0,2020-10-30 16:51:53.000000,0.5.0,19.0,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,1.0,,28.0,20,https://pypi.org/project/farm,2020-10-30 16:14:35.000000,1.0,6569.0,6569.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n561,Classy Vision,facebookresearch/ClassyVision,classy_vision,conda-forge/classy_vision,,image,['pytorch'],https://github.com/facebookresearch/ClassyVision,https://github.com/facebookresearch/ClassyVision,MIT,2019-09-13 22:54:44.000000,2020-12-23 20:44:56.000000,2020-12-23 20:44:46.000000,181.0,46.0,39.0,1012.0,313.0,2020-11-20 16:42:56.000000,0.5.0,15.0,An end-to-end PyTorch framework for image and video classification.,,,51.0,20,https://pypi.org/project/classy_vision,2020-11-20 21:02:29.000000,,488.0,976.0,https://anaconda.org/conda-forge/classy_vision,2020-12-11 20:08:25.437000,5374.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n562,Sockeye,awslabs/sockeye,sockeye,,,nlp,['mxnet'],https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30.000000,2020-12-22 13:56:02.000000,2020-12-14 11:06:20.000000,287.0,17.0,218.0,979.0,729.0,2020-11-18 13:41:36.000000,2.3.2,59.0,Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet.,2.0,,52.0,20,https://pypi.org/project/sockeye,2020-11-05 14:07:57.000000,2.0,535.0,535.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n563,TensorNets,taehoonlee/tensornets,tensornets,,,tensorflow-utils,['tensorflow'],https://github.com/taehoonlee/tensornets,https://github.com/taehoonlee/tensornets,MIT,2017-09-19 05:19:01.000000,2020-10-03 09:19:27.000000,2020-10-03 09:19:17.000000,182.0,14.0,42.0,965.0,283.0,2020-03-31 04:38:27.000000,0.4.6,12.0,High level network definitions with pre-trained weights in TensorFlow.,31.0,29.0,6.0,20,https://pypi.org/project/tensornets,2020-03-31 04:35:15.000000,2.0,273.0,273.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n564,geoplotlib,andrea-cuttone/geoplotlib,geoplotlib,,,geospatial-data,,https://github.com/andrea-cuttone/geoplotlib,https://github.com/andrea-cuttone/geoplotlib,MIT,2015-02-24 13:13:07.000000,2020-04-10 20:00:31.000000,2019-05-06 07:06:50.000000,141.0,23.0,18.0,885.0,159.0,2016-07-27 14:55:01.000000,0.3.2,4.0,python toolbox for visualizing geographical data and making maps.,94.0,85.0,8.0,20,https://pypi.org/project/geoplotlib,2016-07-27 14:55:01.000000,9.0,1129.0,1129.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n565,Haiku,deepmind/dm-haiku,,,,ml-frameworks,,https://github.com/deepmind/dm-haiku,https://github.com/deepmind/dm-haiku,Apache-2.0,2020-02-18 07:14:02.000000,2020-12-26 21:50:52.000000,2020-12-22 16:29:34.000000,59.0,18.0,47.0,869.0,430.0,2020-11-24 11:25:05.000000,0.0.3,5.0,JAX-based neural network library.,53.0,53.0,32.0,20,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n566,Fiber,uber/fiber,fiber,,,distributed-ml,,https://github.com/uber/fiber,https://github.com/uber/fiber,Apache-2.0,2020-01-07 18:16:24.000000,2020-10-06 14:39:41.000000,2020-10-06 14:39:12.000000,87.0,12.0,5.0,829.0,60.0,2020-07-09 03:28:28.000000,0.2.1,6.0,Distributed Computing for AI Made Simple.,18.0,17.0,5.0,20,https://pypi.org/project/fiber,2020-07-09 03:28:28.000000,1.0,1476.0,1476.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n567,nude.py,hhatto/nude.py,nudepy,,,image,,https://github.com/hhatto/nude.py,https://github.com/hhatto/nude.py,MIT,2013-06-09 06:55:55.000000,2020-11-23 13:49:32.000000,2020-11-23 13:49:02.000000,128.0,6.0,2.0,784.0,79.0,2020-11-23 13:49:17.000000,0.5.1,10.0,Nudity detection with Python.,56.0,47.0,12.0,20,https://pypi.org/project/nudepy,2020-11-23 13:49:17.000000,9.0,530.0,530.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n568,keras-ocr,faustomorales/keras-ocr,keras-ocr,,,ocr,['tensorflow'],https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50.000000,2020-12-11 02:31:17.000000,2020-11-26 17:18:25.000000,164.0,27.0,95.0,730.0,161.0,2020-11-26 17:19:39.000000,0.8.6,26.0,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,1.0,,9.0,20,https://pypi.org/project/keras-ocr,2020-11-26 17:19:39.000000,1.0,1693.0,5349.0,,,,True,3,10970.0,,,,,,,,,,,,,,,,,,,,,,,,\n569,YouTokenToMe,vkcom/youtokentome,youtokentome,,,nlp,,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28.000000,2020-10-01 23:24:11.000000,2020-02-13 09:49:37.000000,42.0,21.0,20.0,703.0,76.0,2020-02-13 09:57:47.000000,1.0.6,14.0,Unsupervised text tokenizer focused on computational efficiency.,97.0,91.0,6.0,20,https://pypi.org/project/youtokentome,2020-02-12 18:24:46.000000,6.0,6950.0,6950.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n570,Madmom,CPJKU/madmom,madmom,,,audio,,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06.000000,2020-04-14 03:42:18.000000,2019-12-19 14:46:37.000000,116.0,43.0,176.0,689.0,1722.0,2018-11-14 14:57:41.000000,0.16.1,11.0,Python audio and music signal processing library.,120.0,112.0,19.0,20,https://pypi.org/project/madmom,2018-11-14 14:56:22.000000,8.0,1069.0,1069.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n571,Opacus,pytorch/opacus,opacus,,,privacy-ml,['pytorch'],https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000000,2020-12-22 19:56:15.000000,2020-12-22 19:53:18.000000,87.0,7.0,46.0,687.0,194.0,2020-12-17 17:30:40.000000,0.11.0,6.0,Training PyTorch models with differential privacy.,9.0,9.0,23.0,20,https://pypi.org/project/opacus,2020-12-17 17:30:40.000000,,662.0,666.0,,,,True,3,28.0,,,,,,,,,,,,,,,,,,,,,,,,\n572,NeuPy,itdxer/neupy,neupy,,,ml-frameworks,,https://github.com/itdxer/neupy,https://github.com/itdxer/neupy,MIT,2015-08-24 19:45:11.000000,2020-01-15 08:04:33.000000,2019-09-02 19:02:38.000000,143.0,26.0,229.0,659.0,1145.0,2019-04-04 19:44:59.000000,0.8.2,34.0,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,109.0,99.0,6.0,20,https://pypi.org/project/neupy,2019-04-04 19:43:06.000000,10.0,993.0,993.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n573,NearPy,pixelogik/NearPy,NearPy,,,nn-search,,https://github.com/pixelogik/NearPy,https://github.com/pixelogik/NearPy,MIT,2013-04-25 09:10:26.000000,2020-02-17 20:24:08.000000,2018-10-21 17:54:28.000000,135.0,21.0,38.0,656.0,159.0,2016-09-27 13:04:44.000000,1.0.0,8.0,\"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..\",62.0,47.0,18.0,20,https://pypi.org/project/NearPy,2016-09-27 13:03:12.000000,15.0,1812.0,1812.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n574,RecBole,RUCAIBox/RecBole,recbole,aibox/recbole,,recommender-systems,['pytorch'],https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000000,2020-12-27 17:59:15.000000,2020-12-24 05:24:31.000000,86.0,18.0,25.0,650.0,2185.0,2020-12-06 08:33:29.000000,0.1.2,3.0,\"A unified, comprehensive and efficient recommendation library.\",,,21.0,20,https://pypi.org/project/recbole,2020-12-06 08:38:29.000000,,141.0,279.0,https://anaconda.org/aibox/recbole,2020-12-06 10:21:07.722000,138.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n575,finetune,IndicoDataSolutions/finetune,finetune,,,nlp,\"['tensorflow', 'sklearn']\",https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16.000000,2020-12-16 11:18:55.000000,2020-11-24 13:38:51.000000,67.0,18.0,115.0,630.0,1201.0,2019-11-07 19:42:32.000000,0.8.6,37.0,Scikit-learn style model finetuning for NLP.,10.0,8.0,18.0,20,https://pypi.org/project/finetune,2020-01-10 22:42:24.000000,2.0,228.0,228.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n576,mljar-supervised,mljar/mljar-supervised,mljar-supervised,,,hyperopt,,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000000,2020-12-17 14:04:49.000000,2020-12-17 14:02:49.000000,92.0,49.0,199.0,598.0,686.0,2020-12-17 14:04:49.000000,0.7.15,49.0,Automates Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning.,8.0,8.0,7.0,20,https://pypi.org/project/mljar-supervised,2020-12-17 14:03:27.000000,,1132.0,1132.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n577,pdpipe,pdpipe/pdpipe,pdpipe,,,data-pipelines,['pandas'],https://github.com/pdpipe/pdpipe,https://github.com/pdpipe/pdpipe,MIT,2017-01-24 20:37:22.000000,2020-11-17 08:57:21.000000,2020-11-17 08:57:20.000000,29.0,6.0,14.0,574.0,341.0,2020-11-09 09:32:37.000000,0.0.53,49.0,Easy pipelines for pandas DataFrames.,21.0,21.0,8.0,20,https://pypi.org/project/pdpipe,2020-11-09 09:32:37.000000,,1006.0,1006.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n578,torch-scatter,rusty1s/pytorch_scatter,torch-scatter,,,pytorch-utils,['pytorch'],https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23.000000,2020-12-11 20:40:45.000000,2020-12-01 08:40:47.000000,72.0,58.0,102.0,562.0,803.0,2020-06-24 09:29:12.000000,2.0.5,24.0,PyTorch Extension Library of Optimized Scatter Operations.,16.0,,13.0,20,https://pypi.org/project/torch-scatter,2020-02-22 16:51:10.000000,16.0,5176.0,5176.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,,\n579,Mapbox GL,mapbox/mapboxgl-jupyter,mapboxgl,,,geospatial-data,['jupyter'],https://github.com/mapbox/mapboxgl-jupyter,https://github.com/mapbox/mapboxgl-jupyter,MIT,2017-08-08 15:10:51.000000,2019-12-13 22:49:07.000000,2019-12-03 21:57:25.000000,117.0,34.0,67.0,549.0,220.0,2019-06-03 21:24:10.000000,0.10.2,20.0,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,103.0,85.0,20.0,20,https://pypi.org/project/mapboxgl,2019-06-02 15:18:57.000000,18.0,6138.0,6138.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n580,Lassie,michaelhelmick/lassie,lassie,,,web-scraping,,https://github.com/michaelhelmick/lassie,https://github.com/michaelhelmick/lassie,MIT,2013-07-30 20:41:39.000000,2020-12-16 20:25:47.000000,2020-12-16 20:25:31.000000,42.0,10.0,29.0,518.0,214.0,2020-12-16 20:18:31.000000,0.11.8,35.0,Web Content Retrieval for Humans.,27.0,20.0,14.0,20,https://pypi.org/project/lassie,2020-12-16 20:18:31.000000,7.0,528.0,528.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n581,gazpacho,maxhumber/gazpacho,gazpacho,,,web-scraping,,https://github.com/maxhumber/gazpacho,https://github.com/maxhumber/gazpacho,MIT,2019-09-23 20:21:55.000000,2020-10-31 18:03:20.000000,2020-10-31 18:03:19.000000,47.0,4.0,29.0,502.0,142.0,2020-10-09 12:51:41.000000,1.1,18.0,\"The simple, fast, and modern web scraping library.\",81.0,79.0,13.0,20,https://pypi.org/project/gazpacho,2020-09-24 17:50:19.000000,2.0,2508.0,2508.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n582,N2,kakao/n2,n2,,,nn-search,,https://github.com/kakao/n2,https://github.com/kakao/n2,Apache-2.0,2017-11-23 02:27:59.000000,2020-10-21 05:15:27.000000,2020-10-21 05:14:11.000000,51.0,17.0,21.0,443.0,242.0,2020-10-16 03:43:47.000000,0.1.7,8.0,TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets.,14.0,12.0,17.0,20,https://pypi.org/project/n2,2020-10-16 02:48:11.000000,2.0,423.0,423.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n583,alibi-detect,SeldonIO/alibi-detect,alibi-detect,,,others,,https://github.com/SeldonIO/alibi-detect,https://github.com/SeldonIO/alibi-detect,Apache-2.0,2019-10-07 13:29:13.000000,2020-12-23 10:50:37.000000,2020-12-23 10:50:36.000000,50.0,28.0,41.0,437.0,306.0,2020-12-23 10:49:47.000000,0.4.4,9.0,\"Algorithms for outlier and adversarial instance detection, concept drift and metrics.\",17.0,16.0,6.0,20,https://pypi.org/project/alibi-detect,2020-10-08 09:57:19.000000,1.0,1096.0,1096.0,,,,True,3,,,,,,,,,,,,,,,,,,-1.0,,,,,,,\n584,pivottablejs,nicolaskruchten/jupyter_pivottablejs,pivottablejs,,,data-viz,['jupyter'],https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,MIT,2015-09-09 13:39:18.000000,2018-12-04 14:43:26.000000,2018-12-04 14:43:25.000000,53.0,16.0,37.0,409.0,32.0,2018-01-15 18:14:37.000000,0.9.0,10.0,\"Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js.\",149.0,135.0,3.0,20,https://pypi.org/project/pivottablejs,2018-01-15 18:14:37.000000,14.0,8378.0,8378.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n585,Labml,lab-ml/labml,labml,,,ml-experiments,,https://github.com/lab-ml/labml,https://github.com/lab-ml/labml,MIT,2018-11-16 09:34:48.000000,2020-12-26 05:54:58.000000,2020-12-26 05:54:51.000000,27.0,,6.0,318.0,856.0,2020-12-22 07:39:56.000000,0.4.84,61.0,Monitor PyTorch & TensorFlow model training on mobile phones.,20.0,20.0,5.0,20,https://pypi.org/project/labml,2020-12-22 07:39:56.000000,0.0,1043.0,1043.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n586,MedPy,loli/medpy,MedPy,,,medical-data,,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34.000000,2020-05-01 15:25:39.000000,2020-05-01 15:25:38.000000,104.0,8.0,65.0,308.0,324.0,2019-02-14 17:12:59.000000,0.4.0,6.0,Medical image processing in Python.,217.0,210.0,13.0,20,https://pypi.org/project/MedPy,2019-02-14 17:12:59.000000,7.0,3022.0,3022.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n587,sklearn-evaluation,edublancas/sklearn-evaluation,sklearn-evaluation,,,interpretability,['sklearn'],https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2015-09-04 16:33:42.000000,2020-12-24 02:34:15.000000,2020-12-24 02:31:27.000000,25.0,7.0,27.0,286.0,500.0,2020-12-15 17:36:29.000000,0.5.3,15.0,\"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook..\",28.0,26.0,5.0,20,https://pypi.org/project/sklearn-evaluation,2020-12-15 17:34:30.000000,2.0,293.0,293.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n588,AutoViz,AutoViML/AutoViz,autoviz,,,data-viz,,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06.000000,2020-12-21 03:22:01.000000,2020-12-21 03:21:52.000000,54.0,3.0,16.0,272.0,97.0,2020-12-10 02:33:19.000000,0.0.81,26.0,\"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..\",24.0,24.0,10.0,20,https://pypi.org/project/autoviz,2020-12-10 02:33:19.000000,,1202.0,1202.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n589,Submit it,facebookincubator/submitit,submitit,conda-forge/submitit,,distributed-ml,,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09.000000,2020-12-18 11:03:01.000000,2020-12-04 13:12:27.000000,16.0,9.0,12.0,270.0,33.0,2020-11-19 12:53:49.000000,1.1.5,8.0,Python 3.6+ toolbox for submitting jobs to Slurm.,69.0,69.0,8.0,20,https://pypi.org/project/submitit,2020-12-01 08:14:16.000000,0.0,1709.0,1868.0,https://anaconda.org/conda-forge/submitit,2020-11-19 14:06:58.416000,636.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n590,Queries,gmr/queries,queries,,,db-clients,,https://github.com/gmr/queries,https://github.com/gmr/queries,BSD-3-Clause,2012-08-24 16:12:55.000000,2020-11-04 14:26:15.000000,2020-08-07 16:32:54.000000,27.0,3.0,12.0,231.0,334.0,2020-03-09 17:40:07.000000,2.1.0,29.0,PostgreSQL database access simplified.,108.0,83.0,11.0,20,https://pypi.org/project/queries,2020-03-09 17:40:07.000000,25.0,813.0,813.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n591,StaticFrame,InvestmentSystems/static-frame,static-frame,conda-forge/static-frame,,data-containers,,https://github.com/InvestmentSystems/static-frame,https://github.com/InvestmentSystems/static-frame,MIT,2018-01-03 15:07:52.000000,2020-12-27 15:05:57.000000,2020-12-27 15:05:33.000000,20.0,33.0,229.0,206.0,2156.0,2020-12-14 17:20:49.000000,0.7.8,90.0,\"The StaticFrame library defines the Series and Frame, immutable data structures for one- and two-dimensional..\",5.0,5.0,14.0,20,https://pypi.org/project/static-frame,2020-12-01 04:29:56.000000,,1686.0,4346.0,https://anaconda.org/conda-forge/static-frame,2020-12-14 19:22:26.127000,58525.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n592,stop-words,Alir3z4/python-stop-words,stop-words,,,nlp,,https://github.com/Alir3z4/python-stop-words,https://github.com/Alir3z4/python-stop-words,BSD-3-Clause,2014-05-26 06:44:03.000000,2019-10-16 15:01:43.000000,2018-07-23 21:04:09.000000,19.0,3.0,9.0,120.0,90.0,2018-07-23 20:58:34.000000,2018.7.23,8.0,Get list of common stop words in various languages in Python.,1244.0,1040.0,8.0,20,https://pypi.org/project/stop-words,2018-07-23 20:55:55.000000,204.0,41671.0,41671.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n593,graph-nets,deepmind/graph_nets,graph-nets,,,graph,['tensorflow'],https://github.com/deepmind/graph_nets,https://github.com/deepmind/graph_nets,Apache-2.0,2018-08-31 08:19:28.000000,2020-12-04 17:43:48.000000,2020-12-04 17:43:47.000000,708.0,13.0,101.0,4704.0,47.0,2020-01-29 16:00:25.000000,1.1.0,7.0,Build Graph Nets in Tensorflow.,7.0,,11.0,19,https://pypi.org/project/graph-nets,2020-01-29 16:00:25.000000,7.0,845.0,845.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n594,Qlib,microsoft/qlib,pyqlib,,,financial-data,['pytorch'],https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000000,2020-12-26 12:21:31.000000,2020-12-26 12:21:30.000000,479.0,41.0,33.0,3286.0,,2020-12-12 09:59:16.000000,0.6.1,15.0,\"Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research,..\",,,24.0,19,https://pypi.org/project/pyqlib,2020-12-12 09:59:16.000000,,2501.0,2562.0,,,,True,3,185.0,,,,,,,,,,,,,,,,,,,,,,,,\n595,AdaBound,Luolc/AdaBound,adabound,,,pytorch-utils,['pytorch'],https://github.com/Luolc/AdaBound,https://github.com/Luolc/AdaBound,Apache-2.0,2019-02-15 18:05:20.000000,2019-03-06 17:01:52.000000,2019-03-06 17:01:45.000000,317.0,16.0,7.0,2821.0,27.0,2019-03-06 16:44:42.000000,0.0.5,4.0,An optimizer that trains as fast as Adam and as good as SGD.,98.0,92.0,2.0,19,https://pypi.org/project/adabound,2019-02-26 04:23:45.000000,6.0,953.0,953.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n596,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,torchbiggraph,,,graph,['pytorch'],https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16.000000,2020-12-18 18:07:19.000000,2020-12-18 18:07:13.000000,358.0,31.0,96.0,2622.0,141.0,2019-10-14 16:45:11.000000,1.0.0,3.0,Generate embeddings from large-scale graph-structured data.,4.0,,19.0,19,https://pypi.org/project/torchbiggraph,2019-05-01 21:31:13.000000,4.0,264.0,269.0,,,,True,3,101.0,,,,,,,,,,,,,,,,,,,,,,,,\n597,Apache Singa,apache/singa,,nusdbsystem/singa,,distributed-ml,,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000000,2020-12-11 05:57:25.000000,2020-12-11 05:55:13.000000,571.0,49.0,32.0,2160.0,2261.0,2020-04-21 08:01:08.000000,3.0.0,13.0,a distributed deep learning platform.,,,70.0,19,,,,,7.0,https://anaconda.org/nusdbsystem/singa,2020-10-19 07:39:55.213000,240.0,True,3,,,,apache/singa,https://hub.docker.com/r/apache/singa,2019-06-04 04:32:52.195956,2.0,165.0,,,,,,,,,,,,,,,,,\n598,DeepWalk,phanein/deepwalk,deepwalk,,,graph,,https://github.com/phanein/deepwalk,https://github.com/phanein/deepwalk,GPL-3.0,2014-08-23 03:38:20.000000,2020-04-02 01:05:36.000000,2020-04-02 01:05:35.000000,752.0,29.0,78.0,2140.0,46.0,2018-04-29 21:05:18.000000,1.0.3,4.0,DeepWalk - Deep Learning for Graphs.,42.0,35.0,10.0,19,https://pypi.org/project/deepwalk,2018-04-29 21:05:18.000000,7.0,1131.0,1131.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n599,Hummingbird,microsoft/hummingbird,hummingbird-ml,,,model-serialisation,,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000000,2020-12-24 00:07:06.000000,2020-12-23 23:50:35.000000,142.0,45.0,123.0,1950.0,,2020-10-30 21:47:05.000000,0.1.0,7.0,Hummingbird compiles trained ML models into tensor computation for faster inference.,12.0,12.0,17.0,19,https://pypi.org/project/hummingbird-ml,2020-10-30 21:45:47.000000,,687.0,699.0,,,,True,3,84.0,,,,,,,,,,,,,,,,,,,,,,,,\n600,Coach,IntelLabs/coach,rl_coach,,,reinforcement-learning,,https://github.com/IntelLabs/coach,https://github.com/IntelLabs/coach,Apache-2.0,2017-10-01 19:27:43.000000,2020-12-21 12:46:30.000000,2020-12-15 08:02:16.000000,374.0,80.0,181.0,1882.0,512.0,2019-10-10 14:17:10.000000,1.0.1,13.0,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,1.0,,34.0,19,https://pypi.org/project/rl_coach,2019-10-10 14:17:10.000000,1.0,148.0,148.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n601,cuML,rapidsai/cuml,cuml,,,gpu-utilities,,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000000,2020-12-23 21:03:55.000000,2020-12-17 22:22:28.000000,299.0,629.0,858.0,1856.0,,2020-12-10 21:50:49.000000,0.17.0,5.0,cuML - RAPIDS Machine Learning Library.,,,118.0,19,https://pypi.org/project/cuml,2019-04-11 16:57:48.000000,,341.0,341.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n602,PARL,PaddlePaddle/PARL,parl,,,reinforcement-learning,['paddle'],https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22.000000,2020-12-25 11:43:32.000000,2020-12-25 05:54:44.000000,403.0,45.0,142.0,1748.0,1.0,2020-12-20 00:50:44.000000,1.4,15.0,A high-performance distributed training framework for Reinforcement Learning.,65.0,65.0,20.0,19,https://pypi.org/project/parl,2020-12-20 01:07:28.000000,,461.0,461.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n603,HiPlot,facebookresearch/hiplot,hiplot,conda-forge/hiplot,,data-viz,,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41.000000,2020-12-23 17:16:15.884000,2020-12-19 10:24:46.000000,86.0,4.0,41.0,1636.0,108.0,2020-11-30 11:40:56.000000,0.1.22,33.0,HiPlot makes understanding high dimensional data easy.,2.0,2.0,6.0,19,https://pypi.org/project/hiplot,2020-12-23 15:11:20.000000,0.0,3102.0,7093.0,https://anaconda.org/conda-forge/hiplot,2020-12-23 17:16:15.884000,39912.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n604,riko,nerevu/riko,riko,,,data-pipelines,,https://github.com/nerevu/riko,https://github.com/nerevu/riko,MIT,2016-06-02 12:22:51.000000,2020-08-14 18:29:28.000000,2020-08-14 16:47:45.000000,70.0,22.0,8.0,1548.0,1257.0,2020-08-14 18:29:28.000000,0.66.0,58.0,A Python stream processing engine modeled after Yahoo! Pipes.,1.0,,18.0,19,https://pypi.org/project/riko,2020-08-14 18:29:28.000000,1.0,160.0,160.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n605,DLTK,DLTK/DLTK,dltk,,,medical-data,['tensorflow'],https://github.com/DLTK/DLTK,https://github.com/DLTK/DLTK,Apache-2.0,2017-05-02 15:40:36.000000,2020-11-13 17:17:16.000000,2019-01-21 14:01:28.000000,377.0,7.0,24.0,1230.0,379.0,,,5.0,Deep Learning Toolkit for Medical Image Analysis.,17.0,17.0,9.0,19,https://pypi.org/project/dltk,2018-02-26 17:43:57.000000,,88.0,88.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n606,doc2text,jlsutherland/doc2text,doc2text,,,ocr,,https://github.com/jlsutherland/doc2text,https://github.com/jlsutherland/doc2text,MIT,2016-08-28 19:30:02.000000,2020-12-01 22:56:27.000000,2020-12-01 22:56:26.000000,91.0,12.0,9.0,1225.0,62.0,2016-09-06 21:59:21.000000,0.2.4,5.0,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,32.0,32.0,5.0,19,https://pypi.org/project/doc2text,2016-09-06 21:59:21.000000,,272.0,272.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n607,Sweetviz,fbdesignpro/sweetviz,sweetviz,,,data-viz,,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47.000000,2020-12-10 14:32:35.000000,2020-12-10 14:30:47.000000,132.0,21.0,43.0,1175.0,77.0,2020-12-10 14:32:35.000000,2.0.4,22.0,\"Visualize and compare datasets, target values and associations, with one line of code.\",,,6.0,19,https://pypi.org/project/sweetviz,2020-12-10 14:32:35.000000,,7842.0,7842.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n608,TaskTiger,closeio/tasktiger,tasktiger,,,data-pipelines,,https://github.com/closeio/tasktiger,https://github.com/closeio/tasktiger,MIT,2015-05-14 00:26:32.000000,2020-12-23 18:56:06.000000,2020-12-17 16:07:11.000000,58.0,30.0,31.0,1036.0,250.0,2019-10-29 19:32:58.000000,0.10.1,22.0,Python task queue using Redis.,28.0,19.0,19.0,19,https://pypi.org/project/tasktiger,2020-06-18 22:08:56.000000,9.0,419.0,419.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n609,Higher,facebookresearch/higher,higher,,,pytorch-utils,['pytorch'],https://github.com/facebookresearch/higher,https://github.com/facebookresearch/higher,Apache-2.0,2019-09-06 18:58:36.000000,2020-11-23 06:15:24.000000,2020-10-28 16:53:07.000000,72.0,23.0,46.0,1005.0,28.0,2020-07-14 12:20:32.000000,0.2.1,2.0,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,27.0,27.0,6.0,19,https://pypi.org/project/higher,2020-07-14 12:20:32.000000,,546.0,546.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n610,Torch Points 3D,nicolas-chaulet/torch-points3d,torch-points3d,,,image,['pytorch'],https://github.com/nicolas-chaulet/torch-points3d,https://github.com/nicolas-chaulet/torch-points3d,BSD-3-Clause,2019-12-06 11:33:34.000000,2020-12-18 10:42:40.000000,2020-12-18 10:42:39.000000,140.0,41.0,144.0,942.0,1562.0,2020-12-18 10:33:50.000000,1.2.0,13.0,Pytorch framework for doing deep learning on point clouds.,2.0,2.0,18.0,19,https://pypi.org/project/torch-points3d,2020-12-18 10:34:16.000000,,306.0,306.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n611,gplearn,trevorstephens/gplearn,gplearn,,,others,['sklearn'],https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14.000000,2020-02-15 08:12:38.000000,2020-02-15 08:12:17.000000,149.0,27.0,114.0,899.0,146.0,2019-06-01 02:04:52.000000,0.4.1,5.0,\"Genetic Programming in Python, with a scikit-learn inspired API.\",119.0,112.0,10.0,19,https://pypi.org/project/gplearn,2019-06-01 02:04:52.000000,7.0,1092.0,1092.0,,,,True,3,,,,,,,,,,,,,,,,,,-1.0,,,,,,,\n612,Databolt Flow,d6t/d6tflow,d6tflow,,,data-pipelines,,https://github.com/d6t/d6tflow,https://github.com/d6t/d6tflow,MIT,2019-02-03 01:51:22.000000,2020-12-19 22:37:20.000000,2020-12-19 21:46:11.000000,64.0,5.0,11.0,889.0,106.0,2020-10-19 04:14:45.000000,0.2.2,19.0,Python library for building highly effective data science workflows.,12.0,12.0,10.0,19,https://pypi.org/project/d6tflow,2020-12-19 22:37:20.000000,,228.0,228.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n613,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,pytorch_toolbelt,,,pytorch-utils,['pytorch'],https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000000,2020-12-24 19:40:48.000000,2020-12-24 19:40:43.000000,71.0,3.0,14.0,868.0,489.0,2020-08-19 10:33:17.000000,0.4.0,18.0,PyTorch extensions for fast R&D prototyping and Kaggle farming.,1.0,,4.0,19,https://pypi.org/project/pytorch_toolbelt,2020-08-19 10:33:17.000000,1.0,5492.0,5492.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n614,Paddle Graph Learning,PaddlePaddle/PGL,pgl,,,graph,['paddle'],https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28.000000,2020-12-24 02:51:06.000000,2020-12-14 07:02:53.000000,110.0,14.0,27.0,851.0,349.0,2020-12-18 16:59:53.000000,2.0.0a,6.0,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,10.0,9.0,17.0,19,https://pypi.org/project/pgl,2020-11-20 06:23:47.000000,1.0,732.0,732.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n615,TensorFrames,databricks/tensorframes,tensorframes,,,distributed-ml,\"['tensorflow', 'spark']\",https://github.com/databricks/tensorframes,https://github.com/databricks/tensorframes,Apache-2.0,2016-03-04 19:25:19.000000,2020-11-13 17:47:02.000000,2019-11-15 21:43:53.000000,159.0,51.0,43.0,768.0,221.0,2018-11-16 20:50:02.000000,0.6.0,6.0,[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark.,,,16.0,19,https://pypi.org/project/tensorframes,2018-05-16 14:20:28.000000,,6321.0,6321.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n616,TabNet,dreamquark-ai/tabnet,pytorch-tabnet,,,pytorch-utils,['pytorch'],https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000000,2020-12-26 18:09:43.000000,2020-12-24 13:52:53.000000,128.0,30.0,95.0,689.0,158.0,2020-12-15 12:44:24.000000,3.0.0,15.0,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,,,17.0,19,https://pypi.org/project/pytorch-tabnet,2020-12-15 12:44:24.000000,,5484.0,5484.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n617,TF Recommenders,tensorflow/recommenders,tensorflow-recommenders,,,recommender-systems,['tensorflow'],https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01.000000,2020-12-22 22:54:51.000000,2020-12-22 22:54:40.000000,65.0,24.0,40.0,664.0,,2020-12-22 19:24:59.000000,0.3.2,7.0,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,10.0,10.0,16.0,19,https://pypi.org/project/tensorflow-recommenders,2020-12-22 19:24:59.000000,,3052.0,3052.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n618,mlens,flennerhag/mlens,mlens,,,others,,https://github.com/flennerhag/mlens,https://github.com/flennerhag/mlens,MIT,2017-01-10 20:53:47.000000,2020-02-25 14:32:48.000000,2020-02-25 14:31:53.000000,81.0,8.0,73.0,663.0,879.0,2018-10-30 22:34:35.000000,0.2.3,14.0,ML-Ensemble high performance ensemble learning.,93.0,93.0,7.0,19,https://pypi.org/project/mlens,2018-10-30 22:30:43.000000,,828.0,828.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n619,NGT,yahoojapan/NGT,ngt,,,nn-search,,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000000,2020-11-17 22:33:08.000000,2020-11-17 22:32:45.000000,67.0,7.0,66.0,605.0,113.0,2020-08-19 04:31:59.000000,1.12.2,45.0,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,3.0,,10.0,19,https://pypi.org/project/ngt,2020-09-23 06:52:45.000000,3.0,3343.0,3343.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n620,PFRL,pfnet/pfrl,pfrl,,,reinforcement-learning,,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50.000000,2020-12-20 17:22:25.000000,2020-12-17 08:58:39.000000,56.0,22.0,19.0,462.0,315.0,2020-12-17 04:57:58.000000,0.2.1,4.0,PFRL: a PyTorch-based deep reinforcement learning library.,4.0,4.0,10.0,19,https://pypi.org/project/pfrl,2020-12-17 05:00:25.000000,,579.0,579.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n621,HpBandSter,automl/HpBandSter,hpbandster,,,hyperopt,,https://github.com/automl/HpBandSter,https://github.com/automl/HpBandSter,BSD-3-Clause,2017-12-17 20:28:20.000000,2020-09-06 09:54:54.000000,2019-03-26 09:26:28.000000,90.0,53.0,34.0,429.0,187.0,2019-07-30 12:47:43.000000,1.0,6.0,a distributed Hyperband implementation on Steroids.,119.0,103.0,10.0,19,https://pypi.org/project/hpbandster,2018-10-24 09:31:01.000000,16.0,5697.0,5697.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n622,Poutyne,GRAAL-Research/poutyne,poutyne,,,pytorch-utils,['pytorch'],https://github.com/GRAAL-Research/poutyne,https://github.com/GRAAL-Research/poutyne,LGPL-3.0,2017-12-07 18:30:17.000000,2020-12-24 21:45:11.000000,2020-12-24 16:52:02.000000,47.0,12.0,33.0,420.0,495.0,2020-12-24 17:01:16.000000,1.2,18.0,A simplified framework and utilities for PyTorch.,52.0,50.0,15.0,19,https://pypi.org/project/poutyne,2020-12-24 17:02:00.000000,2.0,798.0,798.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n623,seglearn,dmbee/seglearn,seglearn,,,time-series-data,,https://github.com/dmbee/seglearn,https://github.com/dmbee/seglearn,BSD-3-Clause,2018-03-05 20:53:59.000000,2020-11-08 14:51:01.000000,2020-11-08 14:45:42.000000,45.0,6.0,18.0,409.0,264.0,2020-04-02 15:26:06.000000,1.2.1,20.0,Python module for machine learning time series:.,7.0,6.0,13.0,19,https://pypi.org/project/seglearn,2020-04-02 15:26:06.000000,1.0,2883.0,2883.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n624,Feature Engine,solegalli/feature_engine,feature_engine,conda-forge/feature_engine,,others,,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2018-12-31 01:47:18.000000,2020-12-27 00:26:25.000000,2020-12-21 16:00:47.000000,121.0,25.0,64.0,400.0,93.0,2020-09-21 11:05:42.000000,0.6.1,22.0,Feature engineering package with sklearn like functionality.,1.0,,18.0,19,https://pypi.org/project/feature_engine,2020-09-21 11:05:42.000000,1.0,14502.0,14760.0,https://anaconda.org/conda-forge/feature_engine,2020-09-22 06:48:29.493000,1033.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n625,PyWaffle,gyli/PyWaffle,pywaffle,,,data-viz,,https://github.com/gyli/PyWaffle,https://github.com/gyli/PyWaffle,MIT,2017-11-14 20:03:47.000000,2020-07-26 23:22:17.000000,2020-07-26 23:22:13.000000,59.0,2.0,10.0,369.0,249.0,2020-07-26 19:16:45.000000,0.6.1,22.0,Make Waffle Charts in Python.,38.0,38.0,6.0,19,https://pypi.org/project/pywaffle,2020-07-26 19:16:45.000000,,1093.0,1093.0,,,,True,3,,,,,,,,,,,,,,,,,,-1.0,,,,,,,\n626,MXBoard,awslabs/mxboard,mxboard,,,ml-experiments,['mxnet'],https://github.com/awslabs/mxboard,https://github.com/awslabs/mxboard,Apache-2.0,2018-02-06 23:03:51.000000,2020-01-24 23:21:56.000000,2020-01-24 23:21:55.000000,46.0,16.0,15.0,329.0,42.0,2018-05-22 20:25:51.000000,0.1.0,12.0,Logging MXNet data for visualization in TensorBoard.,91.0,90.0,9.0,19,https://pypi.org/project/mxboard,2018-05-22 20:25:51.000000,1.0,2726.0,2726.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n627,Sherpa,sherpa-ai/sherpa,parameter-sherpa,,,hyperopt,,https://github.com/sherpa-ai/sherpa,https://github.com/sherpa-ai/sherpa,GPL-3.0,2018-05-16 21:41:54.000000,2020-10-18 07:57:50.000000,2020-10-18 07:57:48.000000,42.0,11.0,41.0,277.0,823.0,2020-07-31 05:29:09.000000,1.0.7,8.0,\"Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.\",8.0,7.0,43.0,19,https://pypi.org/project/parameter-sherpa,2019-11-23 21:32:27.000000,1.0,439.0,439.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n628,PyKEEN,pykeen/pykeen,pykeen,,,graph,,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000000,2020-12-23 14:14:49.000000,2020-12-22 16:20:55.000000,41.0,33.0,57.0,272.0,2255.0,2020-10-21 11:59:14.000000,1.0.5,31.0,A Python library for learning and evaluating knowledge graph embeddings.,1.0,,17.0,19,https://pypi.org/project/pykeen,2020-08-25 14:33:23.000000,1.0,338.0,344.0,,,,True,3,37.0,,,,,,,,,,,,,,,,,,,,,,,,\n629,textpipe,textpipe/textpipe,textpipe,,,nlp,,https://github.com/textpipe/textpipe,https://github.com/textpipe/textpipe,MIT,2018-06-21 16:23:32.000000,2020-12-21 08:29:38.000000,2020-10-12 08:19:03.000000,17.0,20.0,24.0,260.0,366.0,2020-10-12 08:24:19.000000,0.12.1,38.0,Textpipe: clean and extract metadata from text.,7.0,6.0,27.0,19,https://pypi.org/project/textpipe,2020-10-12 08:24:19.000000,1.0,405.0,405.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n630,pyfasttext,vrasneur/pyfasttext,pyfasttext,,,nlp,,https://github.com/vrasneur/pyfasttext,https://github.com/vrasneur/pyfasttext,GPL-3.0,2017-06-30 18:44:42.000000,2018-12-08 15:32:09.000000,2018-12-08 15:02:12.000000,31.0,19.0,28.0,229.0,153.0,2018-12-08 15:02:54.000000,0.4.6,13.0,Yet another Python binding for fastText.,132.0,127.0,4.0,19,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09.000000,5.0,2763.0,2770.0,,,,False,3,304.0,,,,,,,,,,,,,,,,,,,,,,,,\n631,Brainiak,brainiak/brainiak,brainiak,,,medical-data,,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27.000000,2020-10-15 21:11:03.379549,2020-10-15 16:28:46.000000,105.0,63.0,117.0,229.0,388.0,2019-08-27 23:52:29.000000,0.9.1,15.0,Brain Imaging Analysis Kit.,12.0,11.0,32.0,19,https://pypi.org/project/brainiak,2020-10-15 20:45:08.000000,1.0,127.0,134.0,,,,True,3,,,,brainiak/brainiak,https://hub.docker.com/r/brainiak/brainiak,2020-10-15 21:11:03.379549,1.0,449.0,,,,,,,,,,,,,,,,,\n632,recmetrics,statisticianinstilettos/recmetrics,recmetrics,,,recommender-systems,,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49.000000,2020-12-03 21:21:02.000000,2020-12-03 21:21:00.000000,52.0,7.0,7.0,218.0,233.0,2019-02-10 16:12:38.000000,0.0.9,11.0,A library of metrics for evaluating recommender systems.,16.0,16.0,12.0,19,https://pypi.org/project/recmetrics,2019-02-10 16:12:38.000000,,1062.0,1062.0,,,,True,3,,,,,,,,,,,,,,,,,,-1.0,,,,,,,\n633,fletcher,xhochy/fletcher,fletcher,conda-forge/fletcher,,data-containers,['pandas'],https://github.com/xhochy/fletcher,https://github.com/xhochy/fletcher,MIT,2018-03-04 16:44:22.000000,2020-12-27 20:25:40.000000,2020-12-18 12:42:02.000000,32.0,33.0,39.0,205.0,501.0,2020-12-07 20:33:59.000000,0.7.0,14.0,Pandas ExtensionDType/Array backed by Apache Arrow.,2.0,2.0,23.0,19,https://pypi.org/project/fletcher,2020-12-07 20:33:59.000000,,474.0,1093.0,https://anaconda.org/conda-forge/fletcher,2020-12-07 21:54:19.247000,17934.0,True,3,12.0,,,,,,,,,,,,,,,,,-1.0,,,,,,,\n634,Spotlight,maciejkula/spotlight,,maciejkula/spotlight,,recommender-systems,['pytorch'],https://github.com/maciejkula/spotlight,https://github.com/maciejkula/spotlight,MIT,2017-06-25 18:52:19.000000,2020-11-15 08:21:28.000000,2020-02-09 21:03:48.000000,366.0,64.0,48.0,2369.0,299.0,2019-09-08 10:19:53.000000,0.1.6,7.0,Deep recommender models using PyTorch.,,,11.0,18,,,,,140.0,https://anaconda.org/maciejkula/spotlight,2018-05-27 18:32:12.235000,5880.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n635,Crypto Signals,CryptoSignal/crypto-signal,,,,financial-data,,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24.000000,2020-12-05 09:57:16.000000,2020-09-03 12:26:48.000000,637.0,43.0,187.0,2358.0,563.0,,,,\"Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 2,100 + stars, 580 + forks.\",,,25.0,18,,,,,1042.0,,,,True,3,,,,shadowreaver/crypto-signal,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133,7.0,40653.0,,,,,,,,,,,,,,,,,\n636,Mara Pipelines,mara/mara-pipelines,mara-pipelines,,,data-pipelines,,https://github.com/mara/mara-pipelines,https://github.com/mara/mara-pipelines,MIT,2018-03-31 20:37:22.000000,2020-12-11 13:00:33.000000,2020-07-31 19:24:31.000000,76.0,6.0,11.0,1596.0,127.0,2020-07-31 19:31:29.000000,3.1.1,7.0,\"A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow.\",7.0,7.0,15.0,18,https://pypi.org/project/mara-pipelines,2020-07-31 19:26:16.000000,,41.0,41.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n637,NeuroNER,Franck-Dernoncourt/NeuroNER,pyneuroner,,,nlp,,https://github.com/Franck-Dernoncourt/NeuroNER,https://github.com/Franck-Dernoncourt/NeuroNER,MIT,2017-03-07 01:24:15.000000,2020-11-13 18:07:48.000000,2019-10-02 23:26:11.000000,440.0,77.0,67.0,1519.0,132.0,2019-10-02 23:30:15.000000,1.0.8,7.0,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,8.0,8.0,7.0,18,https://pypi.org/project/pyneuroner,2019-10-02 23:30:15.000000,,106.0,106.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n638,Cola,qinxuye/cola,cola,,,web-scraping,,https://github.com/qinxuye/cola,https://github.com/qinxuye/cola,Apache-2.0,2013-05-15 06:41:01.000000,2020-03-01 06:25:06.000000,2020-03-01 06:25:05.000000,544.0,14.0,52.0,1386.0,254.0,2016-03-31 04:19:26.000000,0.1.0,3.0,A high-level distributed crawling framework.,4.0,3.0,3.0,18,https://pypi.org/project/cola,2016-03-31 04:19:26.000000,1.0,57.0,57.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n639,Antialiased CNNs,adobe/antialiased-cnns,antialiased-cnns,,,pytorch-utils,['pytorch'],https://github.com/adobe/antialiased-cnns,https://github.com/adobe/antialiased-cnns,CC BY-NC-SA 4.0,2019-05-14 20:51:25.000000,2020-10-23 22:45:52.000000,2020-10-22 19:40:07.000000,167.0,9.0,28.0,1317.0,238.0,2020-10-23 22:45:52.000000,0.3,6.0,pip install antialiased-cnns to improve stability and accuracy.,,,6.0,18,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49.000000,,304.0,304.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n640,Bounter,RaRe-Technologies/bounter,bounter,,,data-containers,,https://github.com/RaRe-Technologies/bounter,https://github.com/RaRe-Technologies/bounter,MIT,2017-07-18 07:24:15.000000,2020-08-17 06:37:51.000000,2020-08-16 11:55:16.000000,48.0,11.0,9.0,887.0,152.0,2019-01-17 09:39:52.000000,1.1.1,7.0,Efficient Counter that uses a limited (bounded) amount of memory regardless of data size.,34.0,20.0,8.0,18,https://pypi.org/project/bounter,2020-08-17 06:37:51.000000,14.0,326.0,326.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n641,advertorch,BorealisAI/advertorch,advertorch,,,adversarial,['pytorch'],https://github.com/BorealisAI/advertorch,https://github.com/BorealisAI/advertorch,GPL-3.0,2018-11-29 22:17:33.000000,2020-09-25 15:01:47.000000,2020-06-15 01:16:18.000000,118.0,13.0,28.0,779.0,270.0,2020-06-15 01:20:07.000000,0.2.3,10.0,A Toolbox for Adversarial Robustness Research.,32.0,29.0,16.0,18,https://pypi.org/project/advertorch,2020-06-15 01:20:07.000000,3.0,1717.0,1717.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n642,calamari,Calamari-OCR/calamari,calamari_ocr,,,ocr,,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,Apache-2.0,2018-03-20 15:22:29.000000,2020-12-21 11:50:15.000000,2020-12-21 08:28:04.000000,161.0,20.0,132.0,753.0,260.0,2020-03-29 13:38:21.000000,1.0.5,22.0,Line based ATR Engine based on OCRopy.,2.0,,17.0,18,https://pypi.org/project/calamari_ocr,2018-11-13 11:24:45.000000,2.0,509.0,509.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n643,pytorch2keras,nerox8664/pytorch2keras,pytorch2keras,,,model-serialisation,,https://github.com/nerox8664/pytorch2keras,https://github.com/nerox8664/pytorch2keras,MIT,2017-11-16 20:21:43.000000,2020-05-14 10:03:56.000000,2020-05-14 10:03:04.000000,109.0,39.0,65.0,644.0,277.0,2020-05-14 10:03:56.000000,0.2.4,23.0,PyTorch to Keras model convertor.,17.0,16.0,11.0,18,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56.000000,1.0,558.0,558.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n644,Test Tube,williamFalcon/test-tube,test_tube,,,hyperopt,,https://github.com/williamFalcon/test-tube,https://github.com/williamFalcon/test-tube,MIT,2017-09-06 02:14:57.000000,2020-04-11 20:36:36.000000,2020-03-17 22:44:47.000000,59.0,22.0,21.0,643.0,642.0,2019-12-01 00:47:35.000000,0.7.4,53.0,Python library to easily log experiments and parallelize hyperparameter search for neural networks.,5.0,,16.0,18,https://pypi.org/project/test_tube,2018-12-12 22:45:59.000000,5.0,7472.0,7472.0,,,,True,3,7.0,,,,,,,,,,,,,,,,,,,,,,,,\n645,Saliency,PAIR-code/saliency,saliency,,,tensorflow-utils,['tensorflow'],https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35.000000,2020-10-15 21:38:20.000000,2020-10-01 22:54:59.000000,131.0,11.0,10.0,612.0,64.0,2019-09-26 17:59:23.000000,0.0.5,5.0,\"TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques.\",13.0,13.0,12.0,18,https://pypi.org/project/saliency,2019-09-26 17:59:23.000000,,156.0,156.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n646,Torchbearer,pytorchbearer/torchbearer,torchbearer,,,ml-frameworks,['pytorch'],https://github.com/pytorchbearer/torchbearer,https://github.com/pytorchbearer/torchbearer,MIT,2018-03-12 16:30:42.000000,2020-02-17 21:18:06.000000,2020-02-17 21:18:01.000000,62.0,8.0,237.0,580.0,427.0,2020-01-31 14:07:22.000000,0.5.3,24.0,torchbearer: A model fitting library for PyTorch.,40.0,37.0,13.0,18,https://pypi.org/project/torchbearer,2020-01-31 14:05:56.000000,3.0,398.0,398.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n647,vecstack,vecxoz/vecstack,vecstack,,,others,,https://github.com/vecxoz/vecstack,https://github.com/vecxoz/vecstack,MIT,2016-11-08 13:23:21.000000,2020-09-14 08:31:07.000000,2019-10-30 09:27:48.000000,66.0,,34.0,570.0,189.0,2019-08-12 16:09:01.000000,0.4.0,6.0,Python package for stacking (machine learning technique).,98.0,94.0,1.0,18,https://pypi.org/project/vecstack,2019-08-12 16:01:22.000000,4.0,765.0,765.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n648,baikal,alegonz/baikal,baikal,conda-forge/cython-blis,,others,,https://github.com/alegonz/baikal,https://github.com/alegonz/baikal,BSD-3-Clause,2019-01-21 12:59:02.000000,2020-12-07 11:23:01.451000,2020-11-15 13:39:20.000000,28.0,4.0,11.0,569.0,393.0,2020-05-17 12:40:17.000000,0.4.2,7.0,A graph-based functional API for building complex scikit-learn pipelines.,2.0,2.0,1.0,18,https://pypi.org/project/baikal,2020-11-15 13:40:18.000000,,58.0,18047.0,https://anaconda.org/conda-forge/cython-blis,2020-12-07 11:23:01.451000,377789.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n649,Dragonfly,dragonfly/dragonfly,dragonfly-opt,,,hyperopt,,https://github.com/dragonfly/dragonfly,https://github.com/dragonfly/dragonfly,MIT,2018-04-20 22:19:50.000000,2020-07-26 17:44:31.000000,2020-07-03 18:01:17.000000,72.0,21.0,17.0,551.0,397.0,2020-07-03 18:05:12.000000,0.1.6,9.0,An open source python library for scalable Bayesian optimisation.,2.0,,12.0,18,https://pypi.org/project/dragonfly-opt,2020-07-03 18:05:12.000000,2.0,3890.0,3890.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n650,pyhsmm,mattjj/pyhsmm,pyhsmm,,,probabilistics,,https://github.com/mattjj/pyhsmm,https://github.com/mattjj/pyhsmm,MIT,2012-03-18 17:40:13.000000,2020-09-29 20:58:26.000000,2020-08-24 17:03:59.000000,146.0,33.0,60.0,474.0,1426.0,2017-05-10 17:14:37.000000,0.1.7,8.0,Bayesian inference in HSMMs and HMMs.,21.0,17.0,13.0,18,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37.000000,4.0,73.0,73.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n651,pytorch-forecasting,jdb78/pytorch-forecasting,pytorch-forecasting,,,time-series-data,,https://github.com/jdb78/pytorch-forecasting,https://github.com/jdb78/pytorch-forecasting,MIT,2020-07-03 13:05:24.000000,2020-12-27 17:19:04.000000,2020-12-27 17:19:03.000000,48.0,19.0,51.0,465.0,530.0,2020-12-07 22:17:50.000000,0.7.1,19.0,Time series forecasting with PyTorch.,,,9.0,18,https://pypi.org/project/pytorch-forecasting,2020-12-03 21:53:32.000000,,3723.0,3723.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n652,PugSQL,mcfunley/pugsql,pugsql,,,db-clients,,https://github.com/mcfunley/pugsql,https://github.com/mcfunley/pugsql,Apache-2.0,2019-05-19 16:55:38.000000,2020-12-15 20:56:53.000000,2020-09-13 06:06:13.000000,13.0,13.0,19.0,403.0,254.0,2020-09-03 22:44:19.000000,0.2.2,23.0,A HugSQL-inspired database library for Python.,1.0,,10.0,18,https://pypi.org/project/pugsql,2020-09-13 05:35:42.000000,1.0,1841.0,1841.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n653,What-If Tool,PAIR-code/what-if-tool,witwidget,,,interpretability,,https://github.com/PAIR-code/what-if-tool,https://github.com/PAIR-code/what-if-tool,Apache-2.0,2018-09-07 20:26:10.000000,2020-12-22 22:05:29.000000,2020-12-22 13:44:23.000000,87.0,36.0,32.0,403.0,289.0,2020-06-28 14:23:49.040000,1.7.0,36.0,Source code/webpage/demos for the What-If Tool.,,,18.0,18,https://pypi.org/project/witwidget,2020-06-28 14:22:37.000000,,2124.0,4108.0,,,,True,3,,,,,,,,,wit-widget,https://www.npmjs.com/package/wit-widget,2020-11-03 16:28:21.255000,,1984.0,,,,,,,,,,,,\n654,Baal,ElementAI/baal,baal,,,probabilistics,,https://github.com/ElementAI/baal,https://github.com/ElementAI/baal,Apache-2.0,2019-09-30 20:16:26.000000,2020-12-17 21:04:00.000000,2020-12-11 19:04:35.000000,24.0,12.0,22.0,302.0,92.0,2020-11-03 21:14:13.000000,1.2.1,7.0,Using approximate bayesian posteriors in deep nets for active learning.,6.0,6.0,8.0,18,https://pypi.org/project/baal,2020-11-03 21:07:08.000000,,171.0,171.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n655,sk-dist,Ibotta/sk-dist,sk-dist,,,distributed-ml,\"['sklearn', 'spark']\",https://github.com/Ibotta/sk-dist,https://github.com/Ibotta/sk-dist,Apache-2.0,2019-08-14 21:07:17.000000,2020-12-03 22:36:35.000000,2020-12-03 22:36:34.000000,42.0,6.0,9.0,250.0,45.0,2020-05-14 22:20:14.000000,0.1.9,12.0,Distributed scikit-learn meta-estimators in PySpark.,8.0,6.0,6.0,18,https://pypi.org/project/sk-dist,2020-05-14 22:20:14.000000,2.0,4594.0,4594.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n656,DeepGraph,deepgraph/deepgraph,deepgraph,conda-forge/deepgraph,,graph,['pandas'],https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45.000000,2020-10-13 10:14:55.018000,2020-10-01 13:17:00.000000,33.0,8.0,4.0,226.0,160.0,2020-10-01 13:20:38.000000,0.2.3,13.0,Analyze Data with Pandas-based Networks. Documentation:.,1.0,1.0,2.0,18,https://pypi.org/project/deepgraph,2020-10-01 13:18:38.000000,,276.0,2158.0,https://anaconda.org/conda-forge/deepgraph,2020-10-13 10:14:55.018000,75301.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n657,Funsor,pyro-ppl/funsor,funsor,,,probabilistics,['pytorch'],https://github.com/pyro-ppl/funsor,https://github.com/pyro-ppl/funsor,Apache-2.0,2019-01-30 23:13:39.000000,2020-12-25 04:12:27.000000,2020-12-21 05:56:18.000000,15.0,55.0,54.0,155.0,458.0,2020-10-15 15:54:49.000000,0.3.0,5.0,Functional tensors for probabilistic programming.,7.0,7.0,9.0,18,https://pypi.org/project/funsor,2020-10-15 15:54:49.000000,,202.0,202.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n658,BatchFlow,analysiscenter/batchflow,batchflow,,,data-pipelines,,https://github.com/analysiscenter/batchflow,https://github.com/analysiscenter/batchflow,Apache-2.0,2017-03-13 14:22:53.000000,2020-12-25 16:52:35.000000,2020-12-08 08:39:00.000000,33.0,52.0,53.0,153.0,4298.0,2019-08-23 12:21:50.000000,0.3.0,3.0,BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and..,,,28.0,18,https://pypi.org/project/batchflow,2019-08-23 12:21:50.000000,,24.0,24.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n659,Glow,projectglow/glow,glow.py,,,medical-data,,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47.000000,2020-12-23 19:16:31.000000,2020-12-23 18:26:29.000000,41.0,22.0,41.0,148.0,295.0,2020-09-10 18:38:52.000000,0.6.0,9.0,An open-source toolkit for large-scale genomic analysis.,,,11.0,18,https://pypi.org/project/glow.py,2020-09-10 01:15:03.000000,,1533.0,1533.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n660,DeepMind Lab,deepmind/lab,,,,reinforcement-learning,,https://github.com/deepmind/lab,https://github.com/deepmind/lab,GPL-2.0,2016-11-30 13:41:26.000000,2020-12-07 11:25:29.000000,2020-12-07 11:05:16.000000,1286.0,37.0,151.0,6364.0,470.0,2020-12-07 11:26:33.000000,release-2020-12-07,8.0,A customisable 3D platform for agent-based AI research.,,,7.0,17,,,,,,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n661,PaddleDetection,PaddlePaddle/PaddleDetection,,,,image,['paddle'],https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000000,2020-12-26 00:36:50.000000,2020-12-21 12:25:14.000000,590.0,273.0,808.0,2147.0,649.0,2019-11-27 05:15:38.000000,0.1.0,1.0,Object detection and instance segmentation toolkit based on PaddlePaddle.,,,43.0,17,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n662,BlazingSQL,BlazingDB/blazingsql,,blazingsql/blazingsql-protocol,,gpu-utilities,,https://github.com/BlazingDB/blazingsql,https://github.com/BlazingDB/blazingsql,Apache-2.0,2018-09-24 18:25:45.000000,2020-12-23 07:14:25.000000,2020-12-23 00:24:16.000000,133.0,238.0,318.0,1368.0,,2020-12-14 17:43:48.000000,0.17.0,15.0,\"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.\",,,39.0,17,,,,,60.0,https://anaconda.org/blazingsql/blazingsql-protocol,2019-11-11 19:54:17.621000,912.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n663,Advisor,tobegit3hub/advisor,advisor,,,hyperopt,,https://github.com/tobegit3hub/advisor,https://github.com/tobegit3hub/advisor,Apache-2.0,2017-09-14 03:50:33.000000,2019-11-11 07:09:57.869705,2019-11-11 06:59:31.000000,238.0,19.0,13.0,1324.0,165.0,2018-10-18 02:54:09.000000,0.1.6,4.0,Open-source implementation of Google Vizier for hyper parameters tuning.,,,11.0,17,https://pypi.org/project/advisor,2018-10-18 02:54:09.000000,,48.0,87.0,,,,False,3,,,,tobegit3hub/advisor,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1535.0,,,,,,,,,,,,,,,,,\n664,River,online-ml/river,,,,others,,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000000,2020-12-27 16:01:58.000000,2020-12-27 15:37:39.000000,150.0,41.0,224.0,1222.0,2882.0,,,,Online machine learning in Python.,,,56.0,17,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n665,AdvBox,advboxes/AdvBox,advbox,,,adversarial,,https://github.com/advboxes/AdvBox,https://github.com/advboxes/AdvBox,Apache-2.0,2018-08-08 08:55:41.000000,2020-11-13 17:59:22.000000,2020-08-26 22:59:41.000000,217.0,6.0,26.0,1017.0,374.0,2018-12-05 02:48:50.000000,0.4.1,2.0,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,,,19.0,17,https://pypi.org/project/advbox,2018-12-05 02:48:50.000000,,21.0,21.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n666,sklearn-porter,nok/sklearn-porter,sklearn-porter,,,model-serialisation,['sklearn'],https://github.com/nok/sklearn-porter,https://github.com/nok/sklearn-porter,MIT,2016-06-22 22:21:34.000000,2020-10-19 07:28:00.000000,2019-12-18 13:31:50.000000,118.0,34.0,29.0,939.0,699.0,2019-04-15 22:13:06.000000,0.7.4,20.0,\"Transpile trained scikit-learn estimators to C, Java, JavaScript and others.\",1.0,,11.0,17,https://pypi.org/project/sklearn-porter,2019-12-18 13:39:19.000000,1.0,511.0,511.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n667,Backtesting.py,kernc/backtesting.py,backtesting,,,financial-data,,https://github.com/kernc/backtesting.py,https://github.com/kernc/backtesting.py,AGPL-3.0,2019-01-02 03:11:32.000000,2020-12-24 19:57:36.000000,2020-12-24 19:57:35.000000,217.0,20.0,161.0,858.0,214.0,2017-07-22 02:00:06.000000,0.0.1,1.0,Backtest trading strategies in Python.,,,8.0,17,https://pypi.org/project/backtesting,2017-07-22 02:00:06.000000,,3100.0,3100.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n668,CrypTen,facebookresearch/CrypTen,crypten,,,privacy-ml,['pytorch'],https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000000,2020-12-23 00:12:22.000000,2020-12-23 00:12:14.000000,87.0,15.0,31.0,678.0,227.0,2020-04-21 13:59:37.000000,0.1,1.0,A framework for Privacy Preserving Machine Learning.,5.0,5.0,23.0,17,https://pypi.org/project/crypten,2020-02-05 18:53:03.000000,,179.0,179.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n669,Hivemind,learning-at-home/hivemind,hivemind,,,distributed-ml,,https://github.com/learning-at-home/hivemind,https://github.com/learning-at-home/hivemind,MIT,2020-02-27 13:50:19.000000,2020-12-27 00:24:35.000000,2020-12-26 23:23:23.000000,28.0,14.0,17.0,630.0,286.0,2020-08-28 05:52:35.000000,0.8.2,5.0,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,2.0,1.0,8.0,17,https://pypi.org/project/hivemind,2020-08-28 16:00:22.000000,1.0,38.0,38.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n670,FairScale,facebookresearch/fairscale,fairscale,,,distributed-ml,['pytorch'],https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000000,2020-12-28 01:42:15.000000,2020-12-28 01:42:14.000000,39.0,24.0,49.0,589.0,176.0,2020-12-02 04:51:42.000000,0.1.1,6.0,PyTorch extensions for high performance and large scale training.,1.0,1.0,16.0,17,https://pypi.org/project/fairscale,2020-12-02 04:49:42.000000,,503.0,503.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n671,Norfair,tryolabs/norfair,norfair,,,image,,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000000,2020-12-22 05:04:27.000000,2020-12-22 05:04:25.000000,37.0,5.0,11.0,588.0,242.0,2020-12-07 18:34:32.000000,0.1.8,9.0,Lightweight Python library for adding real-time 2D object tracking to any detector.,,,7.0,17,https://pypi.org/project/norfair,2020-12-07 18:34:32.000000,,234.0,234.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n672,ADTK,arundo/adtk,adtk,,,time-series-data,,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22.000000,2020-04-29 19:54:40.000000,2020-04-17 02:27:44.000000,70.0,20.0,30.0,576.0,78.0,2020-04-17 02:18:00.000000,0.6.2,13.0,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,,,11.0,17,https://pypi.org/project/adtk,2020-04-17 02:18:00.000000,,33491.0,33491.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n673,ThunderGBM,Xtra-Computing/thundergbm,thundergbm,,,ml-frameworks,,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08.000000,2020-12-21 09:34:40.000000,2020-12-21 09:34:27.000000,71.0,17.0,26.0,571.0,605.0,2020-05-01 23:16:25.000000,0.3.16,24.0,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,,,10.0,17,https://pypi.org/project/thundergbm,2020-05-01 23:16:25.000000,,150.0,150.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n674,SKLL,EducationalTestingService/skll,skll,,,ml-experiments,['sklearn'],https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,BSD-1-Clause,2013-08-02 14:31:46.000000,2020-12-22 03:22:59.000000,2020-12-04 04:12:24.000000,62.0,43.0,325.0,517.0,,2020-03-13 17:22:26.000000,2.1,63.0,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,45.0,28.0,34.0,17,https://pypi.org/project/skll,2020-03-13 16:23:35.000000,17.0,433.0,433.0,,,,False,3,10.0,,,,,,,,,,,,,,,,,,,,,,,,\n675,Performer Pytorch,lucidrains/performer-pytorch,performer-pytorch,,,pytorch-utils,['pytorch'],https://github.com/lucidrains/performer-pytorch,https://github.com/lucidrains/performer-pytorch,MIT,2020-10-03 03:41:36.000000,2020-12-18 23:09:14.000000,2020-12-14 17:09:48.000000,58.0,15.0,29.0,421.0,,2020-12-14 17:10:37.000000,0.14.9,60.0,\"An implementation of Performer, a linear attention-based transformer, in Pytorch.\",6.0,6.0,4.0,17,https://pypi.org/project/performer-pytorch,2020-12-13 20:20:46.000000,,1652.0,1652.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n676,DiCE,interpretml/DiCE,dice-ml,,,interpretability,\"['tensorflow', 'pytorch']\",https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000000,2020-12-15 13:12:57.000000,2020-12-15 13:12:50.000000,63.0,12.0,18.0,414.0,288.0,2020-09-22 06:31:10.000000,0.4,2.0,Generate Diverse Counterfactual Explanations for any machine learning model.,,,8.0,17,https://pypi.org/project/dice-ml,2020-09-22 06:57:33.000000,,154.0,154.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n677,kglib,graknlabs/kglib,grakn-kglib,,,graph,,https://github.com/graknlabs/kglib,https://github.com/graknlabs/kglib,Apache-2.0,2018-09-16 16:46:48.000000,2020-11-10 15:19:42.000000,2020-11-10 15:19:41.000000,68.0,10.0,49.0,379.0,486.0,2020-08-19 15:32:49.000000,0.2.2,7.0,Grakn Knowledge Graph Library (ML R&D).,,,7.0,17,https://pypi.org/project/grakn-kglib,2020-08-19 15:39:10.000000,,82.0,90.0,,,,True,3,206.0,,,,,,,,,,,,,,,,,,,,,,,,\n678,Sematch,gsi-upm/sematch,sematch,,,graph,,https://github.com/gsi-upm/sematch,https://github.com/gsi-upm/sematch,Apache-2.0,2012-11-30 11:11:53.000000,2020-11-05 21:20:52.000000,2019-03-27 03:17:24.000000,99.0,14.0,19.0,336.0,122.0,2017-04-17 10:56:52.000000,1.0.4,5.0,semantic similarity framework for knowledge graph.,29.0,26.0,5.0,17,https://pypi.org/project/sematch,2017-04-17 10:56:52.000000,3.0,55.0,55.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n679,datmo,datmo/datmo,datmo,,,ml-experiments,,https://github.com/datmo/datmo,https://github.com/datmo/datmo,MIT,2017-11-03 05:46:43.000000,2019-11-29 00:48:45.000000,2019-11-29 00:48:44.000000,27.0,42.0,149.0,331.0,1051.0,2018-12-07 06:01:12.000000,0.0.40,41.0,Open source production model management tool for data scientists.,5.0,5.0,6.0,17,https://pypi.org/project/datmo,2018-12-07 06:16:42.000000,,172.0,172.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n680,Camphr,PKSHATechnology-Research/camphr,camphr,,,nlp,['spacy'],https://github.com/PKSHATechnology-Research/camphr,https://github.com/PKSHATechnology-Research/camphr,Apache-2.0,2020-02-10 03:39:58.000000,2020-12-26 00:30:58.000000,2020-12-26 00:30:55.000000,15.0,13.0,14.0,320.0,1077.0,2020-12-25 08:53:36.000000,0.7.2,37.0,\"spaCy plugin for Transformers , Udify, ELmo, etc.\",,,7.0,17,https://pypi.org/project/camphr,2020-12-25 08:53:36.000000,,569.0,569.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n681,tick,X-DataInitiative/tick,tick,,,time-series-data,,https://github.com/X-DataInitiative/tick,https://github.com/X-DataInitiative/tick,BSD-3-Clause,2016-12-01 10:59:08.000000,2020-08-11 12:36:43.000000,2020-06-15 12:01:36.000000,73.0,55.0,159.0,319.0,413.0,2019-09-11 11:25:15.000000,0.6,23.0,\"Module for statistical learning, with a particular emphasis on time-dependent modelling.\",29.0,28.0,16.0,17,https://pypi.org/project/tick,2020-05-24 22:01:17.000000,1.0,645.0,648.0,,,,True,3,155.0,,,,,,,,,,,,,,,,,,,,,,,,\n682,Case Recommender,caserec/CaseRecommender,caserecommender,,,recommender-systems,['sklearn'],https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39.000000,2020-05-26 22:44:05.000000,2020-05-26 22:44:05.000000,66.0,6.0,16.0,305.0,201.0,2019-08-20 13:38:02.000000,1.1.0,40.0,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems.,5.0,5.0,10.0,17,https://pypi.org/project/caserecommender,2019-08-20 13:42:28.000000,,188.0,188.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n683,apricot,jmschrei/apricot,apricot-select,,,others,,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12.000000,2020-09-30 20:53:48.000000,2020-09-30 20:53:44.000000,28.0,3.0,10.0,299.0,151.0,2020-09-28 07:19:15.000000,0.6.0,13.0,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,9.0,9.0,2.0,17,https://pypi.org/project/apricot-select,2020-09-28 07:19:15.000000,,591.0,591.0,,,,True,3,8.0,,,,,,,,,,,,,,,,,,,,,,,,\n684,Orbit,uber/orbit,orbit-ml,,,probabilistics,,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000000,2020-12-23 20:54:13.000000,2020-11-25 22:33:07.000000,12.0,22.0,140.0,291.0,571.0,2020-11-15 23:46:41.000000,1.0.9,9.0,Bayesian forecasting with object-oriented design and probabilistic models under the hood.,2.0,2.0,5.0,17,https://pypi.org/project/orbit-ml,2020-11-15 23:46:41.000000,,166.0,166.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n685,LOFO,aerdem4/lofo-importance,lofo-importance,,,interpretability,,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46.000000,2020-07-02 11:49:54.000000,2020-07-02 11:49:52.000000,40.0,1.0,10.0,287.0,24.0,2020-07-02 11:44:57.000000,0.2.6,9.0,Leave One Feature Out Importance.,3.0,3.0,3.0,17,https://pypi.org/project/lofo-importance,2020-07-02 11:44:57.000000,,205.0,205.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n686,ExplainX.ai,explainX/explainx,explainx,,,interpretability,,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15.000000,2020-12-23 22:59:24.000000,2020-12-23 18:51:51.000000,27.0,7.0,12.0,150.0,181.0,2020-10-23 17:30:47.000000,2.403,53.0,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,,,4.0,17,https://pypi.org/project/explainx,2020-12-07 22:26:30.000000,,823.0,823.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n687,ipyexperiments,stas00/ipyexperiments,ipyexperiments,,,gpu-utilities,['jupyter'],https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40.000000,2020-11-17 04:11:19.000000,2020-11-17 04:11:16.000000,9.0,,4.0,122.0,177.0,2020-11-16 07:08:34.000000,0.1.22,21.0,jupyter/ipython experiment containers for GPU and general RAM re-use.,4.0,2.0,3.0,17,https://pypi.org/project/ipyexperiments,2020-11-17 04:10:43.000000,2.0,265.0,265.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n688,nvidia-ml-py3,nicolargo/nvidia-ml-py3,nvidia-ml-py3,,,gpu-utilities,,https://github.com/nicolargo/nvidia-ml-py3,https://github.com/nicolargo/nvidia-ml-py3,BSD-3-Clause,2017-06-03 07:47:03.000000,2019-03-06 20:41:10.000000,2019-03-06 20:41:09.000000,13.0,2.0,,59.0,5.0,,,1.0,Python 3 Bindings for the NVIDIA Management Library.,2381.0,2369.0,2.0,17,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46.000000,12.0,268203.0,268203.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n689,ReAgent,facebookresearch/ReAgent,,,,reinforcement-learning,['pytorch'],https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000000,2020-12-25 22:57:37.000000,2020-12-25 22:56:57.000000,372.0,20.0,73.0,2726.0,1046.0,,,,\"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).\",,,82.0,16,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n690,LIT,PAIR-code/lit,lit-nlp,,,interpretability,,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000000,2020-12-23 17:27:23.000000,2020-11-17 00:43:10.000000,219.0,25.0,27.0,2293.0,,2020-11-17 00:53:31.000000,0.2,4.0,The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and..,,,10.0,16,https://pypi.org/project/lit-nlp,2020-11-17 00:52:37.000000,,248.0,248.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n691,automl-gs,minimaxir/automl-gs,automl_gs,,,hyperopt,,https://github.com/minimaxir/automl-gs,https://github.com/minimaxir/automl-gs,MIT,2019-01-13 18:57:44.000000,2019-10-22 11:20:40.000000,2019-04-05 06:48:14.000000,157.0,26.0,6.0,1707.0,102.0,2019-04-05 06:51:04.000000,0.2.1,2.0,\"Provide an input CSV and a target field to predict, generate a model + code to run it.\",,,7.0,16,https://pypi.org/project/automl_gs,2019-04-05 06:47:54.000000,,40.0,40.0,,,,False,3,20.0,,,,,,,,,,,,,,,,,,,,,,,,\n692,Xcessiv,reiinakano/xcessiv,xcessiv,,,hyperopt,,https://github.com/reiinakano/xcessiv,https://github.com/reiinakano/xcessiv,Apache-2.0,2017-03-07 18:18:25.000000,2018-06-06 22:23:37.000000,2017-08-21 00:51:15.000000,103.0,21.0,13.0,1256.0,316.0,2017-08-21 00:53:25.000000,0.5.1,34.0,\"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.\",2.0,1.0,6.0,16,https://pypi.org/project/xcessiv,2017-08-21 00:49:41.000000,1.0,46.0,46.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n693,Lambda Networks,lucidrains/lambda-networks,lambda-networks,,,pytorch-utils,['pytorch'],https://github.com/lucidrains/lambda-networks,https://github.com/lucidrains/lambda-networks,MIT,2020-10-08 19:01:15.000000,2020-11-18 19:54:34.000000,2020-11-18 19:54:30.000000,126.0,8.0,15.0,1226.0,,2020-11-18 08:18:54.000000,0.4.0,11.0,\"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.\",,,3.0,16,https://pypi.org/project/lambda-networks,2020-10-20 21:49:22.000000,,493.0,493.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n694,HyperparameterHunter,HunterMcGushion/hyperparameter_hunter,hyperparameter-hunter,,,hyperopt,,https://github.com/HunterMcGushion/hyperparameter_hunter,https://github.com/HunterMcGushion/hyperparameter_hunter,MIT,2018-06-01 23:17:00.000000,2020-10-21 17:39:45.000000,2020-10-21 17:39:43.000000,77.0,36.0,84.0,632.0,1095.0,2019-08-06 09:09:45.000000,3.0.0,16.0,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries.,1.0,,3.0,16,https://pypi.org/project/hyperparameter-hunter,2019-08-06 06:01:58.000000,1.0,93.0,101.0,,,,True,3,235.0,,,,,,,,,,,,,,,,,,,,,,,,\n695,lazydata,rstojnic/lazydata,lazydata,,,db-clients,,https://github.com/rstojnic/lazydata,https://github.com/rstojnic/lazydata,Apache-2.0,2018-08-21 12:44:27.000000,2019-02-13 18:15:09.000000,2018-10-12 11:40:26.000000,24.0,7.0,6.0,624.0,216.0,2018-09-18 21:24:41.000000,1.0.19,19.0,Lazydata: Scalable data dependencies for Python projects.,8.0,8.0,6.0,16,https://pypi.org/project/lazydata,2018-09-18 21:25:30.000000,,57.0,57.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n696,cuGraph,rapidsai/cugraph,cugraph,,,gpu-utilities,,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000000,2020-12-23 16:25:13.000000,2020-12-17 22:52:29.000000,129.0,92.0,445.0,598.0,,2020-12-10 21:54:44.000000,0.17.0,4.0,cuGraph - RAPIDS Graph Analytics Library.,,,52.0,16,https://pypi.org/project/cugraph,2019-04-04 15:31:02.000000,,61.0,61.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n697,SpeedTorch,Santosh-Gupta/SpeedTorch,SpeedTorch,,,gpu-utilities,['pytorch'],https://github.com/Santosh-Gupta/SpeedTorch,https://github.com/Santosh-Gupta/SpeedTorch,MIT,2019-09-07 18:57:52.000000,2020-02-21 23:13:29.000000,2020-02-21 23:13:28.000000,35.0,3.0,2.0,590.0,170.0,2020-01-06 05:27:17.000000,0.1.6,14.0,Library for faster pinned CPU - GPU transfer in Pytorch.,5.0,3.0,3.0,16,https://pypi.org/project/SpeedTorch,2020-01-06 05:27:17.000000,2.0,133.0,133.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n698,XAI,EthicalML/xai,xai,,,interpretability,,https://github.com/EthicalML/xai,https://github.com/EthicalML/xai,MIT,2019-01-11 20:00:09.000000,2019-10-05 10:34:58.000000,2019-10-05 10:34:50.000000,79.0,4.0,2.0,545.0,83.0,2019-01-13 21:24:01.000000,0.0.4,4.0,XAI - An eXplainability toolbox for machine learning.,15.0,9.0,2.0,16,https://pypi.org/project/xai,2019-01-13 21:24:01.000000,6.0,158.0,158.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n699,AlphaPy,ScottfreeLLC/AlphaPy,alphapy,,,hyperopt,,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32.000000,2020-09-06 12:58:26.000000,2020-09-06 12:58:25.000000,110.0,10.0,29.0,532.0,407.0,2020-08-29 18:48:20.000000,2.5.0,24.0,\"Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost.\",2.0,2.0,3.0,16,https://pypi.org/project/alphapy,2020-08-25 23:33:42.000000,,112.0,112.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n700,FlashTorch,MisaOgura/flashtorch,flashtorch,,,interpretability,['pytorch'],https://github.com/MisaOgura/flashtorch,https://github.com/MisaOgura/flashtorch,MIT,2019-03-22 13:00:57.000000,2020-12-14 23:09:26.000000,2020-05-29 14:37:29.000000,65.0,6.0,21.0,519.0,126.0,2020-05-29 14:39:38.000000,0.1.3,12.0,Visualization toolkit for neural networks in PyTorch! Demo --.,6.0,6.0,2.0,16,https://pypi.org/project/flashtorch,2020-05-29 14:38:32.000000,,201.0,201.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n701,RLax,deepmind/rlax,rlax,,,reinforcement-learning,['jax'],https://github.com/deepmind/rlax,https://github.com/deepmind/rlax,Apache-2.0,2020-02-18 07:14:59.000000,2020-12-04 16:29:56.000000,2020-12-04 16:29:20.000000,37.0,3.0,3.0,519.0,100.0,2020-02-19 23:01:30.000000,0.1.0,3.0,A library of reinforcement learning building blocks in JAX.,9.0,9.0,10.0,16,https://pypi.org/project/rlax,2020-02-19 23:01:30.000000,,125.0,125.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n702,Auto Tune Models,HDI-Project/ATM,atm,,,hyperopt,,https://github.com/HDI-Project/ATM,https://github.com/HDI-Project/ATM,MIT,2016-10-14 18:03:00.000000,2020-02-21 17:44:07.000000,2020-02-21 17:40:58.000000,122.0,17.0,71.0,501.0,775.0,2019-07-30 09:28:26.000000,0.2.2,13.0,\"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).\",6.0,6.0,16.0,16,https://pypi.org/project/atm,2019-06-24 13:31:28.000000,,102.0,102.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n703,lightly,lightly-ai/lightly,lightly,,,image,['pytorch'],https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000000,2020-12-27 11:16:13.000000,2020-12-23 17:41:13.000000,18.0,15.0,17.0,380.0,251.0,2020-12-17 17:29:23.000000,1.0.7,10.0,A python library for self-supervised learning.,,,3.0,16,https://pypi.org/project/lightly,2020-12-17 17:31:29.000000,,343.0,343.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n704,OpenRec,ylongqi/openrec,openrec,,,recommender-systems,,https://github.com/ylongqi/openrec,https://github.com/ylongqi/openrec,Apache-2.0,2017-11-29 16:04:40.000000,2020-11-13 17:47:17.000000,2020-02-19 07:57:17.000000,79.0,4.0,12.0,349.0,213.0,2018-11-13 17:55:55.000000,0.2.5,11.0,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms.,2.0,1.0,10.0,16,https://pypi.org/project/openrec,2019-09-11 20:21:21.000000,1.0,60.0,60.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n705,pdvega,altair-viz/pdvega,pdvega,,,data-viz,,https://github.com/altair-viz/pdvega,https://github.com/altair-viz/pdvega,MIT,2018-01-11 21:30:27.000000,2019-03-29 16:09:14.000000,2019-03-29 16:09:13.000000,28.0,16.0,10.0,339.0,177.0,,,1.0,Interactive plotting for Pandas using Vega-Lite.,48.0,46.0,9.0,16,https://pypi.org/project/pdvega,2018-02-01 04:56:43.000000,2.0,114.0,114.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n706,Pywick,achaiah/pywick,pywick,,,pytorch-utils,['pytorch'],https://github.com/achaiah/pywick,https://github.com/achaiah/pywick,MIT,2019-03-25 15:42:47.000000,2020-11-17 16:44:11.000000,2020-09-24 19:20:06.000000,35.0,2.0,9.0,310.0,109.0,2020-01-20 22:14:21.000000,0.5.6,6.0,High-level batteries-included neural network training library for Pytorch.,2.0,2.0,4.0,16,https://pypi.org/project/pywick,2020-01-20 22:14:21.000000,,227.0,227.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n707,VizSeq,facebookresearch/vizseq,vizseq,,,nlp,,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38.000000,2020-12-13 18:55:58.000000,2020-12-13 18:55:54.000000,39.0,7.0,8.0,297.0,43.0,2020-08-07 01:13:52.000000,0.1.15,16.0,\"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).\",1.0,1.0,3.0,16,https://pypi.org/project/vizseq,2020-08-07 01:13:52.000000,,86.0,86.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n708,Headliner,as-ideas/headliner,headliner,,,nlp,,https://github.com/as-ideas/headliner,https://github.com/as-ideas/headliner,MIT,2019-09-30 11:33:28.000000,2020-02-14 09:07:46.000000,2020-02-14 09:03:27.000000,37.0,1.0,13.0,218.0,276.0,2020-01-24 09:06:29.000000,1.0.2,30.0,Easy training and deployment of seq2seq models.,4.0,3.0,2.0,16,https://pypi.org/project/headliner,2020-01-24 09:06:29.000000,1.0,365.0,365.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n709,Transistor,bomquote/transistor,transistor,,,web-scraping,,https://github.com/bomquote/transistor,https://github.com/bomquote/transistor,MIT,2018-11-12 15:25:51.000000,2020-12-12 22:37:59.000000,2020-08-16 21:52:05.000000,17.0,60.0,3.0,206.0,198.0,2020-08-03 20:20:32.000000,0.2.4,7.0,\"Transistor, a Python web scraping framework for intelligent use cases.\",,,3.0,16,https://pypi.org/project/transistor,2020-08-03 20:12:39.000000,,100.0,102.0,,,,True,3,52.0,,,,,,,,,,,,,,,,,,,,,,,,\n710,Muda,bmcfee/muda,muda,,,audio,,https://github.com/bmcfee/muda,https://github.com/bmcfee/muda,ISC,2014-11-07 21:21:22.000000,2020-09-01 19:21:10.000000,2020-07-20 20:00:17.000000,30.0,5.0,44.0,172.0,291.0,2019-11-15 15:46:21.000000,0.4.1,11.0,A library for augmenting annotated audio data.,8.0,7.0,6.0,16,https://pypi.org/project/muda,2019-11-15 15:46:21.000000,1.0,103.0,103.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n711,elegy,poets-ai/elegy,elegy,,,ml-frameworks,\"['tensorflow', 'jax']\",https://github.com/poets-ai/elegy,https://github.com/poets-ai/elegy,Apache-2.0,2020-06-30 14:00:37.000000,2020-12-27 09:21:41.000000,2020-12-25 14:22:01.000000,10.0,15.0,34.0,141.0,252.0,2020-12-17 15:44:27.000000,0.3.0,15.0,Elegy is a Neural Networks framework based on Jax and inspired by Keras.,,,11.0,16,https://pypi.org/project/elegy,2020-12-17 15:41:58.000000,,238.0,238.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n712,Larq Compute Engine,larq/compute-engine,larq-compute-engine,,,model-serialisation,,https://github.com/larq/compute-engine,https://github.com/larq/compute-engine,Apache-2.0,2019-08-29 15:02:43.000000,2020-12-17 15:03:12.000000,2020-12-17 15:03:10.000000,18.0,21.0,86.0,119.0,438.0,2020-09-21 13:31:57.000000,0.4.3,11.0,Highly optimized inference engine for Binarized Neural Networks.,1.0,1.0,13.0,16,https://pypi.org/project/larq-compute-engine,2020-09-21 17:41:53.000000,,643.0,655.0,,,,False,3,123.0,,,,,,,,,,,,,,,,,,,,,,,,\n713,dabl,amueller/dabl,dabl,,,others,['sklearn'],https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49.000000,2020-12-24 02:46:52.000000,2020-07-08 16:14:41.000000,7.0,1.0,,61.0,252.0,2020-02-04 18:25:16.000000,0.1.9,10.0,Data Analysis Baseline Library.,,,18.0,16,https://pypi.org/project/dabl,2020-09-25 18:14:54.000000,,1965.0,1965.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n714,tinygrad,geohot/tinygrad,,,,pytorch-utils,['pytorch'],https://github.com/geohot/tinygrad,https://github.com/geohot/tinygrad,MIT,2020-10-18 16:23:12.000000,2020-12-27 23:50:38.000000,2020-12-27 23:50:38.000000,401.0,9.0,50.0,3748.0,451.0,,,,You like pytorch? You like micrograd? You love tinygrad!.,,,41.0,15,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n715,Euler,alibaba/euler,euler-gl,,,graph,['tensorflow'],https://github.com/alibaba/euler,https://github.com/alibaba/euler,Apache-2.0,2019-01-10 06:32:32.000000,2020-07-29 05:53:02.000000,2020-07-29 05:53:01.000000,499.0,200.0,97.0,2427.0,8.0,2020-07-07 02:24:18.000000,2.0.0,2.0,A distributed graph deep learning framework.,,,5.0,15,https://pypi.org/project/euler-gl,2019-04-10 01:53:45.000000,,16.0,16.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n716,GraphEmbedding,shenweichen/GraphEmbedding,,,,graph,['sklearn'],https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20.000000,2020-10-18 09:32:47.000000,2020-10-18 09:32:47.000000,528.0,26.0,13.0,1686.0,28.0,,,,Implementation and experiments of graph embedding algorithms.,7.0,7.0,6.0,15,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n717,Botflow,kkyon/botflow,botflow,,,data-pipelines,,https://github.com/kkyon/botflow,https://github.com/kkyon/botflow,BSD-3-Clause,2018-08-20 03:13:31.000000,2019-05-23 14:40:51.000000,2019-05-23 14:40:50.000000,97.0,2.0,2.0,1151.0,192.0,,,5.0,\"Python Fast Dataflow programming framework for Data pipeline work( Web Crawler,Machine Learning,Quantitative..\",1.0,1.0,11.0,15,https://pypi.org/project/botflow,2018-09-14 14:38:32.000000,,45.0,45.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n718,Translate,pytorch/translate,pytorch-translate,,,nlp,['pytorch'],https://github.com/pytorch/translate,https://github.com/pytorch/translate,BSD-3-Clause,2018-04-24 16:44:04.000000,2020-12-22 12:28:34.000000,2020-11-16 20:42:29.000000,157.0,66.0,27.0,670.0,802.0,,,1.0,Translate - a PyTorch Language Library.,,,83.0,15,https://pypi.org/project/pytorch-translate,2018-05-01 19:59:40.000000,,14.0,14.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n719,SuperSQLite,plasticityai/supersqlite,supersqlite,,,db-clients,,https://github.com/plasticityai/supersqlite,https://github.com/plasticityai/supersqlite,MIT,2018-11-09 08:20:26.000000,2020-05-09 09:06:06.000000,2019-08-27 13:16:09.000000,18.0,3.0,1.0,655.0,221.0,2018-11-22 02:36:13.000000,0.0.78,56.0,A supercharged SQLite library for Python.,3.0,3.0,2.0,15,https://pypi.org/project/supersqlite,2018-11-19 04:01:04.000000,,198.0,198.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n720,PandaPy,firmai/pandapy,pandapy,,,data-containers,['pandas'],https://github.com/firmai/pandapy,https://github.com/firmai/pandapy,MIT,2020-01-15 18:21:23.000000,2020-11-12 16:18:45.000000,2020-11-12 16:18:44.000000,44.0,2.0,1.0,463.0,83.0,2020-11-12 16:12:54.000000,zen,22.0,PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai).,1.0,1.0,3.0,15,https://pypi.org/project/pandapy,2020-01-25 23:10:32.000000,,96.0,96.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n721,Tensor Sensor,parrt/tensor-sensor,tensor-sensor,,,pytorch-utils,['pytorch'],https://github.com/parrt/tensor-sensor,https://github.com/parrt/tensor-sensor,MIT,2020-08-28 22:54:04.000000,2020-12-03 20:46:15.000000,2020-12-03 20:45:45.000000,22.0,4.0,12.0,433.0,148.0,2020-12-03 20:46:15.000000,0.1.1,33.0,The goal of this library is to generate more helpful exception messages for numpy/pytorch matrix algebra expressions.,,,2.0,15,https://pypi.org/project/tensor-sensor,2020-12-03 20:40:56.000000,,366.0,366.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n722,cuSignal,rapidsai/cusignal,,,,gpu-utilities,,https://github.com/rapidsai/cusignal,https://github.com/rapidsai/cusignal,Apache-2.0,2019-08-22 14:27:27.000000,2020-12-15 18:46:05.000000,2020-12-15 18:46:03.000000,56.0,17.0,80.0,428.0,,2020-12-10 21:29:50.000000,0.17.0,3.0,GPU accelerated signal processing.,,,27.0,15,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n723,TF Compression,tensorflow/compression,tensorflow-compression,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19.000000,2020-12-27 20:05:21.000000,2020-12-27 19:56:41.000000,142.0,3.0,51.0,404.0,133.0,2019-11-20 01:04:19.000000,1.3,7.0,Data compression in TensorFlow.,1.0,,9.0,15,https://pypi.org/project/tensorflow-compression,2020-12-04 19:23:50.000000,1.0,544.0,544.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n724,Parfit,jmcarpenter2/parfit,parfit,,,hyperopt,['sklearn'],https://github.com/jmcarpenter2/parfit,https://github.com/jmcarpenter2/parfit,MIT,2017-11-22 20:17:51.000000,2020-04-04 19:26:44.000000,2020-04-04 19:26:37.000000,26.0,5.0,5.0,199.0,127.0,,,23.0,\"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..\",6.0,6.0,2.0,15,https://pypi.org/project/parfit,2018-10-11 22:03:16.000000,,4020.0,4020.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n725,NeuralQA,victordibia/neuralqa,neuralqa,,,nlp,,https://github.com/victordibia/neuralqa,https://github.com/victordibia/neuralqa,MIT,2020-05-19 03:55:56.000000,2020-12-16 17:42:12.000000,2020-12-16 17:41:37.000000,23.0,18.0,8.0,180.0,312.0,,,26.0,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,1.0,1.0,3.0,15,https://pypi.org/project/neuralqa,2020-07-29 16:39:37.000000,,119.0,119.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n726,steppy,minerva-ml/steppy,steppy,,,ml-experiments,,https://github.com/minerva-ml/steppy,https://github.com/minerva-ml/steppy,MIT,2018-01-15 09:40:49.000000,2018-11-23 09:49:59.000000,2018-11-23 09:47:34.000000,31.0,16.0,50.0,125.0,69.0,2018-11-23 09:49:59.000000,0.1.16,16.0,\"Lightweight, Python library for fast and reproducible experimentation.\",41.0,36.0,5.0,15,https://pypi.org/project/steppy,2018-11-23 09:49:59.000000,5.0,71.0,71.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n727,DE⫶TR,facebookresearch/detr,,,,image,['pytorch'],https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52.000000,2020-12-04 20:03:39.000000,2020-11-15 16:03:45.000000,801.0,56.0,195.0,5699.0,41.0,2020-06-29 16:41:01.000000,0.2,1.0,End-to-End Object Detection with Transformers.,,,19.0,14,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n728,PySlowFast,facebookresearch/SlowFast,,,,image,['pytorch'],https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26.000000,2020-12-17 20:29:47.000000,2020-12-17 20:29:39.000000,583.0,151.0,182.0,3207.0,93.0,,,,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,2.0,2.0,18.0,14,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n729,OpenNRE,thunlp/OpenNRE,,,,nlp,,https://github.com/thunlp/OpenNRE,https://github.com/thunlp/OpenNRE,MIT,2017-02-26 07:37:12.000000,2020-11-12 09:44:58.000000,2020-09-15 02:44:06.000000,830.0,12.0,284.0,2910.0,133.0,,,,An Open-Source Package for Neural Relation Extraction (NRE).,,,9.0,14,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n730,ENAS,carpedm20/ENAS-pytorch,,,,hyperopt,,https://github.com/carpedm20/ENAS-pytorch,https://github.com/carpedm20/ENAS-pytorch,Apache-2.0,2018-02-15 04:54:37.000000,2020-12-09 18:13:03.000000,2020-06-16 07:23:32.000000,436.0,37.0,7.0,2357.0,53.0,,,,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,,,6.0,14,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n731,GraphSAGE,williamleif/GraphSAGE,,,,graph,['tensorflow'],https://github.com/williamleif/GraphSAGE,https://github.com/williamleif/GraphSAGE,MIT,2017-05-29 15:36:22.000000,2020-11-13 17:49:54.000000,2018-09-19 19:27:00.000000,594.0,77.0,58.0,2048.0,59.0,,,,Representation learning on large graphs using stochastic graph convolutions.,,,9.0,14,,,,,,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n732,ZhuSuan,thu-ml/zhusuan,,,,probabilistics,['tensorflow'],https://github.com/thu-ml/zhusuan,https://github.com/thu-ml/zhusuan,MIT,2016-07-18 13:31:38.000000,2020-01-09 14:51:27.000000,2019-08-05 10:00:04.000000,378.0,8.0,53.0,1994.0,439.0,,,,\"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.\",,,20.0,14,,,,,,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n733,lazynlp,chiphuyen/lazynlp,,,,web-scraping,,https://github.com/chiphuyen/lazynlp,https://github.com/chiphuyen/lazynlp,MIT,2019-02-27 23:23:19.000000,2020-11-11 12:16:30.000000,2019-10-07 16:52:30.000000,281.0,5.0,3.0,1882.0,14.0,2019-03-02 17:38:27.000000,1.0.0,1.0,Library to scrape and clean web pages to create massive datasets.,,,7.0,14,,,,,,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n734,micrograd,karpathy/micrograd,micrograd,,,pytorch-utils,['pytorch'],https://github.com/karpathy/micrograd,https://github.com/karpathy/micrograd,MIT,2020-04-13 04:31:18.000000,2020-12-18 12:55:50.000000,2020-04-18 19:15:25.000000,104.0,2.0,3.0,1499.0,24.0,2020-04-18 19:06:59.000000,0.1.0,1.0,A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.,,,2.0,14,https://pypi.org/project/micrograd,2020-04-18 19:06:59.000000,,45.0,45.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n735,OpenNE,thunlp/OpenNE,,,,graph,['tensorflow'],https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20.000000,2020-11-30 14:02:23.000000,2019-08-12 10:56:27.000000,440.0,50.0,81.0,1384.0,98.0,,,,An Open-Source Package for Network Embedding (NE).,,,10.0,14,,,,,,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n736,MedicalTorch,perone/medicaltorch,medicaltorch,,,medical-data,['pytorch'],https://github.com/perone/medicaltorch,https://github.com/perone/medicaltorch,Apache-2.0,2018-02-27 02:50:07.000000,2020-09-30 13:21:57.000000,2019-08-15 10:03:51.000000,106.0,14.0,9.0,700.0,55.0,2018-11-24 00:33:11.000000,0.2,2.0,A medical imaging framework for Pytorch.,9.0,9.0,7.0,14,https://pypi.org/project/medicaltorch,2018-11-24 00:29:36.000000,,115.0,115.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n737,torchsde,google-research/torchsde,,,,pytorch-utils,['pytorch'],https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11.000000,2020-12-24 22:32:29.000000,2020-10-30 16:15:49.000000,52.0,5.0,26.0,623.0,137.0,2020-10-22 16:12:07.000000,0.2.1,3.0,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,,,4.0,14,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n738,Anchor,marcotcr/anchor,anchor_exp,,,interpretability,,https://github.com/marcotcr/anchor,https://github.com/marcotcr/anchor,BSD-2-Clause,2018-02-02 23:38:50.000000,2020-09-10 17:49:26.000000,2020-09-10 17:48:28.000000,87.0,8.0,44.0,610.0,39.0,,,8.0,Code for High-Precision Model-Agnostic Explanations paper.,,,8.0,14,https://pypi.org/project/anchor_exp,2020-06-26 20:56:50.000000,,611.0,611.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n739,Tez,abhishekkrthakur/tez,tez,,,pytorch-utils,['pytorch'],https://github.com/abhishekkrthakur/tez,https://github.com/abhishekkrthakur/tez,Apache-2.0,2020-11-13 10:19:22.000000,2020-12-26 12:37:23.000000,2020-12-26 12:36:57.000000,38.0,4.0,5.0,356.0,,2020-12-26 12:37:23.000000,0.0.8,7.0,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,,,1.0,14,https://pypi.org/project/tez,2020-12-26 12:37:23.000000,,906.0,906.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n740,TransferNLP,feedly/transfer-nlp,transfer-nlp,,,nlp,['pytorch'],https://github.com/feedly/transfer-nlp,https://github.com/feedly/transfer-nlp,MIT,2019-03-12 20:00:31.000000,2020-05-28 19:00:02.000000,2020-05-28 17:31:53.000000,18.0,4.0,19.0,285.0,465.0,2020-05-28 19:00:02.000000,0.1.6,8.0,NLP library designed for reproducible experimentation management.,,,7.0,14,https://pypi.org/project/transfer-nlp,2020-05-28 19:00:02.000000,,82.0,82.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n741,nx-altair,Zsailer/nx_altair,nx-altair,,,data-viz,['jupyter'],https://github.com/Zsailer/nx_altair,https://github.com/Zsailer/nx_altair,MIT,2018-05-13 00:10:12.000000,2020-09-30 12:01:08.000000,2020-06-02 21:10:26.000000,19.0,4.0,4.0,152.0,51.0,2020-06-02 21:11:12.000000,0.1.6,8.0,Draw interactive NetworkX graphs with Altair.,2.0,,3.0,14,https://pypi.org/project/nx-altair,2020-06-02 21:11:12.000000,2.0,181.0,181.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n742,ModelChimp,ModelChimp/modelchimp,modelchimp,,,ml-experiments,,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03.000000,2020-12-24 02:55:08.000000,2019-12-06 08:58:55.000000,11.0,4.0,10.0,118.0,357.0,2019-04-09 10:43:15.000000,0.4.0,37.0,Experiment tracking for machine and deep learning projects.,,,2.0,14,https://pypi.org/project/modelchimp,2019-04-09 10:41:20.000000,,150.0,175.0,,,,False,3,,,,modelchimp/modelchimp-server,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,634.0,,,,,,,,,,,,,,,,,\n743,DeepNeuro,QTIM-Lab/DeepNeuro,deepneuro,,,medical-data,,https://github.com/QTIM-Lab/DeepNeuro,https://github.com/QTIM-Lab/DeepNeuro,MIT,2017-06-01 19:36:34.000000,2020-06-24 13:00:15.000000,2020-06-24 13:00:14.000000,28.0,25.0,16.0,96.0,285.0,2019-04-11 16:57:02.000000,0.2.2,5.0,A deep learning python package for neuroimaging data. Made by:.,1.0,1.0,6.0,14,https://pypi.org/project/deepneuro,2019-04-11 16:57:02.000000,,61.0,61.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n744,Hypermax,electricbrainio/hypermax,hypermax,,,hyperopt,,https://github.com/electricbrainio/hypermax,https://github.com/electricbrainio/hypermax,BSD-3-Clause,2018-07-27 18:43:01.000000,2020-08-02 18:08:50.000000,2020-08-02 18:08:46.000000,14.0,3.0,1.0,94.0,207.0,2019-10-23 15:40:12.000000,0.5.1,11.0,\"Better, faster hyper-parameter optimization.\",4.0,4.0,9.0,14,https://pypi.org/project/hypermax,2019-10-23 15:40:12.000000,,41.0,41.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n745,nptsne,biovault/nptsne,nptsne,,,data-viz,,https://github.com/biovault/nptsne,https://github.com/biovault/nptsne,Apache-2.0,2019-06-28 08:40:25.000000,2020-11-16 13:56:05.000000,2020-11-13 16:38:47.000000,2.0,7.0,2.0,24.0,834.0,2020-09-10 23:54:14.000000,1.1.0,2.0,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,2.0,2.0,3.0,14,https://pypi.org/project/nptsne,2020-09-10 23:54:14.000000,,141.0,141.0,,,,False,3,,,,,,,,,,,,,,,,,,-1.0,,,,,,,\n746,StarSpace,facebookresearch/StarSpace,,,,ml-frameworks,,https://github.com/facebookresearch/StarSpace,https://github.com/facebookresearch/StarSpace,MIT,2017-06-28 17:50:18.000000,2020-05-18 03:40:57.000000,2019-12-13 19:03:25.000000,475.0,46.0,146.0,3510.0,138.0,,,,\"Learning embeddings for classification, retrieval and ranking.\",,,17.0,13,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n747,OpenKE,thunlp/OpenKE,,,,graph,,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,MIT,2017-10-08 11:20:23.000000,2020-04-08 11:00:38.000000,2020-04-08 11:00:32.000000,711.0,46.0,222.0,2292.0,97.0,,,,An Open-Source Package for Knowledge Embedding (KE).,,,10.0,13,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n748,pycls,facebookresearch/pycls,,,,image,['pytorch'],https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17.000000,2020-11-29 17:48:12.000000,2020-11-20 22:19:36.000000,144.0,10.0,44.0,1393.0,66.0,2020-04-15 19:33:22.000000,0.1,1.0,\"Codebase for Image Classification Research, written in PyTorch.\",1.0,1.0,7.0,13,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n749,Medical Detection Toolkit,MIC-DKFZ/medicaldetectiontoolkit,,,,medical-data,['pytorch'],https://github.com/MIC-DKFZ/medicaldetectiontoolkit,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,Apache-2.0,2018-10-12 12:34:57.000000,2020-10-14 11:17:37.000000,2020-04-18 12:52:08.000000,227.0,27.0,85.0,878.0,36.0,,,,\"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..\",,,3.0,13,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n750,Torch-Struct,harvardnlp/pytorch-struct,,,,pytorch-utils,['pytorch'],https://github.com/harvardnlp/pytorch-struct,https://github.com/harvardnlp/pytorch-struct,MIT,2019-08-26 19:34:30.000000,2020-12-05 20:47:02.000000,2020-07-30 15:58:25.000000,67.0,14.0,20.0,864.0,244.0,2019-11-25 04:08:05.000000,0.4,1.0,\"Fast, general, and tested differentiable structured prediction in PyTorch.\",,,10.0,13,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n751,NeoML,neoml-lib/neoml,,,,ml-frameworks,,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000000,2020-12-25 15:17:39.000000,2020-12-25 14:09:47.000000,78.0,16.0,13.0,549.0,162.0,2020-06-14 17:44:03.000000,NeoML-master_1.0.1.0,1.0,Machine learning framework for both deep learning and traditional algorithms.,,,15.0,13,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n752,Adversary,airbnb/artificial-adversary,Adversary,,,adversarial,,https://github.com/airbnb/artificial-adversary,https://github.com/airbnb/artificial-adversary,MIT,2018-08-08 04:42:11.000000,2018-10-14 05:34:44.000000,2018-08-29 15:31:30.000000,47.0,7.0,,339.0,15.0,2018-08-29 15:14:41.000000,1.1.1,3.0,Tool to generate adversarial text examples and test machine learning models against them.,6.0,6.0,5.0,13,https://pypi.org/project/Adversary,2018-08-29 15:14:41.000000,,17.0,17.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n753,Julius,adefossez/julius,julius,,,audio,['pytorch'],https://github.com/adefossez/julius,https://github.com/adefossez/julius,MIT,2020-10-26 10:54:21.000000,2020-12-10 12:50:51.000000,2020-12-10 12:50:47.000000,6.0,,3.0,161.0,,2020-11-25 18:04:38.000000,0.2.0,4.0,Fast PyTorch based DSP for audio and 1D signals.,1.0,1.0,2.0,13,https://pypi.org/project/julius,2020-11-25 18:04:38.000000,,180.0,180.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n754,Auptimizer,LGE-ARC-AdvancedAI/auptimizer,auptimizer,,,hyperopt,,https://github.com/LGE-ARC-AdvancedAI/auptimizer,https://github.com/LGE-ARC-AdvancedAI/auptimizer,GPL-3.0,2019-09-12 01:08:37.000000,2020-12-04 01:00:53.000000,2020-12-04 00:51:11.000000,20.0,,3.0,153.0,68.0,2020-11-19 05:14:22.000000,1.4,6.0,An automatic ML model optimization tool.,,,11.0,13,https://pypi.org/project/auptimizer,2020-11-19 00:23:49.000000,,112.0,112.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n755,PySparNN,facebookresearch/pysparnn,,,,nn-search,,https://github.com/facebookresearch/pysparnn,https://github.com/facebookresearch/pysparnn,BSD-3-Clause,2016-03-28 20:43:42.000000,2020-10-02 06:01:01.000000,2018-01-31 16:50:23.000000,142.0,11.0,13.0,840.0,147.0,,,,Approximate Nearest Neighbor Search for Sparse Data in Python!.,,,5.0,12,,,,,,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n756,GraphVite,DeepGraphLearning/graphvite,,milagraph/graphvite,,graph,,https://github.com/DeepGraphLearning/graphvite,https://github.com/DeepGraphLearning/graphvite,Apache-2.0,2019-07-16 15:48:20.000000,2020-03-19 18:21:30.972000,2020-03-18 23:16:04.000000,113.0,23.0,51.0,817.0,14.0,,,4.0,GraphVite: A General and High-performance Graph Embedding System.,,,1.0,12,,,,,205.0,https://anaconda.org/milagraph/graphvite,2020-03-19 18:21:30.972000,3280.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n757,Attribution Priors,suinleelab/attributionpriors,attributionpriors,,,interpretability,\"['tensorflow', 'pytorch']\",https://github.com/suinleelab/attributionpriors,https://github.com/suinleelab/attributionpriors,MIT,2019-06-24 23:54:24.000000,2020-09-12 05:57:02.000000,2020-09-12 05:56:51.000000,3.0,1.0,3.0,71.0,64.0,2019-07-18 21:13:37.000000,0.1.3,4.0,Tools for training explainable models using attribution priors.,,,6.0,12,https://pypi.org/project/attributionpriors,2019-10-31 18:03:05.000000,,41.0,41.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n758,LazyCluster,ml-tooling/lazycluster,lazycluster,,,distributed-ml,,https://github.com/ml-tooling/lazycluster,https://github.com/ml-tooling/lazycluster,Apache-2.0,2019-08-07 08:05:13.000000,2020-12-14 15:24:54.000000,2020-12-14 15:24:53.000000,4.0,,,31.0,,2020-12-14 15:25:59.000000,0.2.4,5.0,Distributed machine learning made simple.,2.0,2.0,2.0,12,https://pypi.org/project/lazycluster,2020-12-14 14:49:33.000000,,138.0,138.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n759,MedicalNet,Tencent/MedicalNet,,,,medical-data,,https://github.com/Tencent/MedicalNet,https://github.com/Tencent/MedicalNet,MIT,2019-07-17 09:53:10.000000,2020-08-27 13:37:27.000000,2020-08-27 13:37:26.000000,271.0,40.0,14.0,1026.0,26.0,,,,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,,,1.0,11,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n760,Devol,joeddav/devol,,,,hyperopt,,https://github.com/joeddav/devol,https://github.com/joeddav/devol,MIT,2017-02-10 03:07:54.000000,2020-07-05 21:56:59.000000,2020-07-05 21:56:58.000000,109.0,7.0,20.0,923.0,116.0,,,,Genetic neural architecture search with Keras.,,,18.0,11,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,,\n761,ONNX-T5,abelriboulot/onnxt5,onnxt5,,,nlp,,https://github.com/abelriboulot/onnxt5,https://github.com/abelriboulot/onnxt5,Apache-2.0,2020-08-01 09:38:35.000000,2020-09-02 11:27:43.000000,2020-09-02 11:27:37.000000,15.0,3.0,5.0,132.0,68.0,2020-08-15 15:25:00.000000,0.1.6,10.0,\"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..\",,,2.0,11,https://pypi.org/project/onnxt5,2020-09-02 11:22:09.000000,,74.0,74.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n762,Hypertunity,gdikov/hypertunity,hypertunity,,,hyperopt,,https://github.com/gdikov/hypertunity,https://github.com/gdikov/hypertunity,Apache-2.0,2019-06-02 12:04:55.000000,2020-01-26 23:14:49.000000,2020-01-26 22:53:29.000000,9.0,,2.0,118.0,64.0,2020-01-26 23:08:16.000000,1.0.1,7.0,A toolset for black-box hyperparameter optimisation.,2.0,2.0,2.0,11,https://pypi.org/project/hypertunity,2020-01-26 23:08:16.000000,,38.0,38.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n763,traintool,jrieke/traintool,traintool,,,ml-experiments,\"['pytorch', 'tensorflow', 'sklearn']\",https://github.com/jrieke/traintool,https://github.com/jrieke/traintool,Apache-2.0,2020-09-30 22:23:05.000000,2020-11-18 02:51:43.000000,2020-11-18 02:50:52.000000,1.0,,,8.0,120.0,2020-11-02 02:25:32.000000,0.0.3,3.0,Train off-the-shelf machine learning models in one line of code.,,,1.0,10,https://pypi.org/project/traintool,2020-11-02 02:25:32.000000,,50.0,50.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n764,traingenerator,jrieke/traingenerator,,,,others,,https://github.com/jrieke/traingenerator,https://github.com/jrieke/traingenerator,MIT,2020-12-03 16:47:16.000000,2020-12-19 18:55:14.000000,2020-12-19 18:55:14.000000,68.0,1.0,,601.0,,,,,A web app to generate template code for machine learning.,,,1.0,9,,,,,,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,,\n"
  },
  {
    "path": "history/2021-01-01_changes.md",
    "content": "## 📈 Trending Up\n\n_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._\n\n- <b><a href=\"https://github.com/geopy/geopy\">geopy</a></b> (🥇33 ·  ⭐ 3.1K · 📈) - Geocoding library for Python. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/pytorch/fairseq\">fairseq</a></b> (🥇31 ·  ⭐ 11K · 📈) - Facebook AI Research Sequence-to-Sequence Toolkit written in.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/pydata/numexpr\">numexpr</a></b> (🥈31 ·  ⭐ 1.5K · 📈) - Fast numerical array expression evaluator for Python, NumPy,.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/aws/sagemaker-python-sdk\">SageMaker SDK</a></b> (🥇31 ·  ⭐ 1.3K · 📈) - A library for training and deploying machine learning.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1X\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/psf/requests-html\">Requests-HTML</a></b> (🥈30 ·  ⭐ 11K · 💤) - Pythonic HTML Parsing for Humans. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/facebookresearch/faiss\">Faiss</a></b> (🥇29 ·  ⭐ 12K · 📈) - A library for efficient similarity search and clustering of dense.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/tensorpack/tensorpack\">tensorpack</a></b> (🥉29 ·  ⭐ 5.9K · 📈) - A Neural Net Training Interface on TensorFlow, with focus.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/modin-project/modin\">Modin</a></b> (🥈29 ·  ⭐ 5.6K · 📈) - Modin: Speed up your Pandas workflows by changing a single.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1S\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/HIPS/autograd\">Autograd</a></b> (🥇29 ·  ⭐ 5.1K · 💀) - Efficiently computes derivatives of numpy code. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/nmslib/nmslib\">NMSLIB</a></b> (🥈28 ·  ⭐ 2.2K · 📈) - Non-Metric Space Library (NMSLIB): An efficient similarity.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n\n## 📉 Trending Down\n\n_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._\n\n- <b><a href=\"https://github.com/Theano/Theano\">Theano</a></b> (🥈34 ·  ⭐ 9.3K · 📉) - Theano is a Python library that allows you to define, optimize,.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/aleju/imgaug\">imgaug</a></b> (🥇31 ·  ⭐ 10K · 💤) - Image augmentation for machine learning experiments. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/chainer/chainer\">Chainer</a></b> (🥈31 ·  ⭐ 5.5K · 📉) - A flexible framework of neural networks for deep learning. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/lanpa/tensorboardX\">tensorboardX</a></b> (🥈27 ·  ⭐ 6.7K · 📉) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/NicolasHug/Surprise\">scikit-surprise</a></b> (🥈26 ·  ⭐ 4.6K · 📉) - A Python scikit for building and analyzing recommender.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/librosa/librosa\">librosa</a></b> (🥈26 ·  ⭐ 4.2K · 📉) - Python library for audio and music analysis. <code><a href=\"http://bit.ly/3hkKRql\">ISC</a></code>\n- <b><a href=\"https://github.com/microsoft/MMdnn\">mmdnn</a></b> (🥈22 ·  ⭐ 5.1K · 📉) - MMdnn is a set of tools to help users inter-operate among different.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/worldveil/dejavu\">Dejavu</a></b> (🥉20 ·  ⭐ 5.3K · 💤) - Audio fingerprinting and recognition in Python. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/uber/fiber\">Fiber</a></b> (🥉18 ·  ⭐ 830 · 📉) - Distributed Computing for AI Made Simple. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/sherpa-ai/sherpa\">Sherpa</a></b> (🥉17 ·  ⭐ 280 · 📉) - Hyperparameter optimization that enables researchers to.. <code><a href=\"http://bit.ly/2M0xdwT\">❗️GPL-3.0</a></code>\n\n"
  },
  {
    "path": "history/2021-01-01_projects.csv",
    "content": ",name,github_id,pypi_id,conda_id,docs_url,category,labels,github_url,homepage,license,created_at,updated_at,last_commit_pushed_at,fork_count,open_issue_count,closed_issue_count,star_count,commit_count,latest_stable_release_published_at,latest_stable_release_number,release_count,description,dependent_project_count,github_dependent_project_count,contributor_count,projectrank,pypi_url,pypi_latest_release_published_at,pypi_dependent_project_count,pypi_monthly_downloads,monthly_downloads,conda_url,conda_latest_release_published_at,conda_total_downloads,show,projectrank_placing,github_release_downloads,helm_id,brew_id,dockerhub_id,dockerhub_url,dockerhub_latest_release_published_at,dockerhub_stars,dockerhub_pulls,npm_id,npm_url,npm_latest_release_published_at,npm_dependent_project_count,npm_monthly_downloads,conda_dependent_project_count,trending,apt_id,yum_id,snap_id,maven_id,maven_url,maven_latest_release_published_at,maven_dependent_project_count,dnf_id,yay_id\n0,Tensorflow,tensorflow/tensorflow,tensorflow,conda-forge/tensorflow,https://www.tensorflow.org/overview,ml-frameworks,['tensorflow'],https://github.com/tensorflow/tensorflow,https://github.com/tensorflow/tensorflow,Apache-2.0,2015-11-07 01:19:20.000000,2021-01-01 09:16:12.000000,2021-01-01 09:15:28.000000,83535.0,4248.0,25468.0,152055.0,102131.0,2020-12-14 18:16:52.000000,2.4.0,110.0,An Open Source Machine Learning Framework for Everyone.,137640.0,115116.0,3466.0,44,https://pypi.org/project/tensorflow,2020-12-14 17:58:05.000000,22524.0,6584867.0,6623558.0,https://anaconda.org/conda-forge/tensorflow,2020-07-15 22:30:18.070000,2244099.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n1,pandas,pandas-dev/pandas,pandas,conda-forge/pandas,,data-containers,['pandas'],https://github.com/pandas-dev/pandas,https://github.com/pandas-dev/pandas,BSD-3-Clause,2010-08-24 01:37:33.000000,2021-01-01 11:13:23.000000,2021-01-01 00:08:21.000000,11609.0,3552.0,16200.0,27870.0,25450.0,2020-12-26 16:56:45.000000,1.2.0,87.0,\"Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R..\",435231.0,358447.0,2554.0,43,https://pypi.org/project/pandas,2020-12-26 16:58:54.000000,76784.0,25109978.0,25341452.0,https://anaconda.org/conda-forge/pandas,2020-12-27 15:52:28.489000,12924336.0,True,1,57427.0,,,,,,,,,,,,,,,,,,,,,,,\n2,numpy,numpy/numpy,numpy,conda-forge/numpy,,data-containers,,https://github.com/numpy/numpy,https://github.com/numpy/numpy,BSD-3-Clause,2010-09-13 23:02:39.000000,2020-12-31 23:39:03.000000,2020-12-31 00:35:20.000000,5089.0,2248.0,7218.0,15876.0,25156.0,2020-11-02 16:22:48.000000,1.19.4,93.0,The fundamental package for scientific computing with Python.,757318.0,587596.0,1229.0,42,https://pypi.org/project/numpy,2020-12-25 02:46:48.000000,169722.0,40062439.0,40333049.0,https://anaconda.org/conda-forge/numpy,2020-12-14 15:37:00.094000,14829503.0,True,1,289930.0,,,,,,,,,,,,,,,,,,,,,,,\n3,scikit-learn,scikit-learn/scikit-learn,scikit-learn,conda-forge/scikit-learn,,ml-frameworks,['sklearn'],https://github.com/scikit-learn/scikit-learn,https://github.com/scikit-learn/scikit-learn,BSD-3-Clause,2010-08-17 09:43:38.000000,2020-12-31 19:10:32.000000,2020-12-22 22:31:29.000000,20767.0,2305.0,6575.0,43576.0,26390.0,2020-12-22 16:55:16.000000,0.24.0,52.0,scikit-learn: machine learning in Python.,216563.0,178675.0,2108.0,41,https://pypi.org/project/scikit-learn,2020-12-22 15:06:38.000000,37888.0,10217956.0,10327817.0,https://anaconda.org/conda-forge/scikit-learn,2020-12-22 17:47:32.588000,6151695.0,True,1,623.0,,,,,,,,,,,,,,,,,,,,,,,\n4,Matplotlib,matplotlib/matplotlib,matplotlib,conda-forge/matplotlib,,data-viz,,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,Python-2.0,2011-02-19 03:17:12.000000,2021-01-01 11:08:08.000000,2021-01-01 11:08:06.000000,5541.0,1653.0,5906.0,12862.0,37501.0,2020-11-12 04:43:18.000000,3.3.3,61.0,matplotlib: plotting with Python.,385974.0,306870.0,1186.0,40,https://pypi.org/project/matplotlib,2020-11-12 04:43:18.000000,79104.0,9422444.0,9541938.0,https://anaconda.org/conda-forge/matplotlib,2020-11-18 02:20:26.810000,7647676.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n5,PyTorch,pytorch/pytorch,torch,pytorch/pytorch,https://pytorch.org/docs/stable/index.html,ml-frameworks,['pytorch'],https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41.000000,2021-01-01 10:17:25.000000,2021-01-01 10:11:56.000000,11570.0,7100.0,12405.0,45155.0,32450.0,2020-12-10 17:19:58.000000,1.7.1,30.0,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,63671.0,56989.0,2443.0,39,https://pypi.org/project/torch,2020-12-10 16:22:02.000000,6682.0,1827230.0,2079090.0,https://anaconda.org/pytorch/pytorch,2020-12-10 16:11:32.801000,9570717.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n6,Scrapy,scrapy/scrapy,scrapy,conda-forge/scrapy,,web-scraping,,https://github.com/scrapy/scrapy,https://github.com/scrapy/scrapy,BSD-3-Clause,2010-02-22 02:01:14.000000,2020-12-31 14:50:34.000000,2020-12-30 14:22:27.000000,8964.0,750.0,1901.0,39334.0,8597.0,2020-11-17 21:01:36.000000,2.4.1,80.0,\"Scrapy, a fast high-level web crawling & scraping framework for Python.\",30163.0,21793.0,459.0,38,https://pypi.org/project/scrapy,2020-11-17 12:04:15.000000,8370.0,631065.0,638579.0,https://anaconda.org/conda-forge/scrapy,2020-11-17 15:41:21.756000,383247.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n7,PySpark,apache/spark,pyspark,conda-forge/pyspark,,ml-frameworks,['spark'],https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08.000000,2021-01-01 10:00:50.000000,2020-12-31 21:34:55.000000,23144.0,204.0,,28434.0,28951.0,2020-09-07 15:29:07.000000,3.0.1,21.0,Apache Spark Python API.,1292.0,532.0,2378.0,38,https://pypi.org/project/pyspark,2020-09-07 15:29:07.000000,760.0,6724700.0,6743288.0,https://anaconda.org/conda-forge/pyspark,2020-09-07 17:29:01.440000,855060.0,True,1,,stable/spark,,,,,,,,,,,,,,,,,,,,,,\n8,Pillow,python-pillow/Pillow,Pillow,conda-forge/pillow,,image,,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000000,2021-01-01 02:02:59.000000,2020-12-31 22:54:25.000000,1536.0,238.0,1845.0,8060.0,11025.0,2020-10-22 19:19:42.000000,8.0.1,76.0,The friendly PIL fork (Python Imaging Library).,484667.0,373241.0,343.0,38,https://pypi.org/project/Pillow,2020-10-22 19:17:46.000000,111426.0,14399335.0,14514546.0,https://anaconda.org/conda-forge/pillow,2020-11-07 11:52:48.847000,6567033.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n9,youtube-dl,ytdl-org/youtube-dl,youtube_dl,conda-forge/youtube-dl,,web-scraping,,https://github.com/ytdl-org/youtube-dl,https://github.com/ytdl-org/youtube-dl,Unlicense,2010-10-31 14:35:07.000000,2021-01-01 04:02:33.000000,2020-12-31 22:42:17.000000,3253.0,3861.0,19090.0,86358.0,18114.0,2020-12-30 22:19:20.000000,2020.12.31,931.0,Command-line program to download videos from YouTube.com and other video sites.,2854.0,,917.0,37,https://pypi.org/project/youtube_dl,2020-12-26 16:19:21.000000,2854.0,1965165.0,3480112.0,https://anaconda.org/conda-forge/youtube-dl,2020-12-31 00:55:00.694000,535312.0,True,1,45002347.0,,youtube-dl,,,,,,,,,,,,,,,,,,,,,\n10,spaCy,explosion/spaCy,spacy,conda-forge/spacy,,nlp,,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000000,2020-12-31 14:45:02.000000,2020-12-27 21:12:37.000000,3189.0,90.0,4125.0,17932.0,11717.0,2020-12-11 14:45:05.000000,2.3.5,169.0,Industrial-strength Natural Language Processing (NLP) with Python and Cython.,22977.0,19911.0,540.0,37,https://pypi.org/project/spacy,2020-12-11 14:45:05.000000,3066.0,924790.0,953975.0,https://anaconda.org/conda-forge/spacy,2020-12-18 10:09:15.705000,1369092.0,True,1,2897.0,,,,,,,,,,,,,,,,,,,,,,,\n11,Celery,celery/celery,celery,conda-forge/celery,,data-pipelines,,https://github.com/celery/celery,https://github.com/celery/celery,BSD-3-Clause,2009-04-24 11:31:24.000000,2020-12-31 17:58:17.000000,2020-12-30 10:31:02.000000,3908.0,487.0,3913.0,16459.0,11476.0,2020-12-16 15:41:18.000000,5.0.5,171.0,Asynchronous task queue/job queue based on distributed message passing.,75257.0,47023.0,1070.0,37,https://pypi.org/project/celery,2020-12-16 15:34:09.000000,28234.0,2173819.0,2179980.0,https://anaconda.org/conda-forge/celery,2020-11-11 10:39:38.599000,357358.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n12,networkx,networkx/networkx,networkx,conda-forge/networkx,,graph,,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44.000000,2021-01-01 08:25:41.000000,2021-01-01 04:05:53.000000,2155.0,253.0,2279.0,8420.0,6363.0,2020-08-22 20:10:33.000000,networkx-2.5,52.0,Network Analysis in Python.,84175.0,63357.0,483.0,37,https://pypi.org/project/networkx,2020-08-22 20:38:37.000000,20818.0,5529671.0,5584527.0,https://anaconda.org/conda-forge/networkx,2020-08-23 19:29:02.065000,2797668.0,True,1,51.0,,,,,,,,,,,,,,,,,,,,,,,\n13,boto3,boto/boto3,boto3,conda-forge/boto3,,db-clients,,https://github.com/boto/boto3,https://github.com/boto/boto3,Apache-2.0,2014-10-03 21:38:03.000000,2020-12-31 23:19:19.816000,2020-12-31 19:05:36.000000,1296.0,306.0,1940.0,6024.0,4007.0,2020-12-31 20:22:05.000000,1.16.47,734.0,AWS SDK for Python.,114159.0,91069.0,108.0,37,https://pypi.org/project/boto3,2020-12-31 20:22:05.000000,23090.0,52318067.0,52400518.0,https://anaconda.org/conda-forge/boto3,2020-12-31 23:19:19.816000,4122593.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n14,SQLAlchemy,sqlalchemy/sqlalchemy,SQLAlchemy,conda-forge/sqlalchemy,,db-clients,,https://github.com/sqlalchemy/sqlalchemy,https://github.com/sqlalchemy/sqlalchemy,MIT,2017-01-02 21:50:52.207000,2020-12-31 20:22:55.000000,2020-12-30 20:49:09.000000,491.0,150.0,5385.0,3145.0,13439.0,2020-12-18 21:13:06.000000,1.3.22,207.0,The Database Toolkit for Python.,309824.0,226118.0,448.0,37,https://pypi.org/project/SQLAlchemy,2020-12-18 21:13:06.000000,83706.0,13029007.0,13088570.0,https://anaconda.org/conda-forge/sqlalchemy,2020-12-19 08:49:20.725000,2855582.0,True,1,1160.0,,,,,,,,,,,,,,,,,,,,,,,\n15,transformers,huggingface/transformers,transformers,conda-forge/transformers,,nlp,\"['pytorch', 'tensorflow']\",https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000000,2020-12-31 11:23:49.000000,2020-12-30 09:09:51.000000,9531.0,574.0,4965.0,38770.0,6204.0,2020-12-17 17:09:51.000000,4.1.1,44.0,Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.,6671.0,6543.0,740.0,36,https://pypi.org/project/transformers,2020-12-17 16:27:28.000000,128.0,729089.0,730009.0,https://anaconda.org/conda-forge/transformers,2020-12-19 08:26:53.237000,13098.0,True,1,1238.0,,,,,,,,,,,,,,,,,,,,,,,\n16,Faker,joke2k/faker,Faker,conda-forge/faker,,data-loading,,https://github.com/joke2k/faker,https://github.com/joke2k/faker,MIT,2012-11-12 23:00:09.000000,2020-12-30 19:38:52.000000,2020-12-30 16:05:41.000000,1343.0,137.0,342.0,11848.0,2500.0,2020-12-30 16:11:28.000000,5.3.0,104.0,Faker is a Python package that generates fake data for you.,26644.0,21932.0,379.0,36,https://pypi.org/project/Faker,2020-12-30 16:01:23.000000,4712.0,2116713.0,2124514.0,https://anaconda.org/conda-forge/faker,2020-12-30 16:52:11.983000,358878.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n17,redis,andymccurdy/redis-py,redis,,,db-clients,,https://github.com/andymccurdy/redis-py,https://github.com/andymccurdy/redis-py,MIT,2009-11-06 10:22:26.000000,2020-12-21 07:23:24.000000,2020-11-22 20:52:44.000000,1903.0,62.0,806.0,8998.0,1550.0,2020-06-01 21:30:33.000000,3.5.3,66.0,Redis Python Client.,49438.0,,248.0,36,https://pypi.org/project/redis,2020-06-01 21:30:33.000000,49438.0,8634899.0,8634899.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n18,SymPy,sympy/sympy,sympy,conda-forge/sympy,,others,,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000000,2021-01-01 10:43:26.000000,2021-01-01 10:40:00.000000,3209.0,3953.0,7062.0,7704.0,45545.0,2020-12-12 23:23:00.000000,1.7.1,36.0,A computer algebra system written in pure Python.,34052.0,27630.0,1026.0,36,https://pypi.org/project/sympy,2020-12-12 23:23:00.000000,6422.0,594587.0,620934.0,https://anaconda.org/conda-forge/sympy,2020-12-13 04:16:18.209000,1219414.0,True,1,411565.0,,,,,,,,,,,,,,,,,,,,,,,\n19,StatsModels,statsmodels/statsmodels,statsmodels,conda-forge/statsmodels,,ml-frameworks,,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000000,2020-12-31 11:46:00.000000,2020-12-23 11:31:25.000000,2137.0,2066.0,2228.0,5857.0,13517.0,2020-10-29 16:36:43.000000,0.12.1,24.0,Statsmodels: statistical modeling and econometrics in Python.,41624.0,34968.0,296.0,36,https://pypi.org/project/statsmodels,2020-10-29 16:36:43.000000,6656.0,2206961.0,2262660.0,https://anaconda.org/conda-forge/statsmodels,2020-11-21 19:18:02.779000,3063492.0,True,1,25.0,,,,,,,,,,,,,,,,,,,,,,,\n20,Tensorboard,tensorflow/tensorboard,tensorboard,conda-forge/tensorboard,,ml-experiments,['tensorflow'],https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000000,2020-12-30 01:45:10.000000,2020-12-24 01:22:39.000000,1326.0,544.0,900.0,5101.0,4126.0,2020-11-12 03:15:42.000000,2.4.0,35.0,TensorFlow's Visualization Toolkit.,53468.0,49854.0,248.0,36,https://pypi.org/project/tensorboard,2020-11-12 03:15:33.000000,3614.0,5359305.0,5398868.0,https://anaconda.org/conda-forge/tensorboard,2020-11-12 07:26:37.897000,1503421.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n21,scikit-image,scikit-image/scikit-image,scikit-image,conda-forge/scikit-image,,image,,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,BSD-2-Clause,2011-07-07 22:07:20.000000,2020-12-31 16:31:18.000000,2020-12-30 10:51:15.000000,1713.0,644.0,1471.0,4121.0,12449.0,2020-12-23 06:36:46.000000,0.18.1,35.0,Image processing in Python.,72139.0,57365.0,472.0,36,https://pypi.org/project/scikit-image,2020-12-23 06:36:46.000000,14774.0,1848990.0,1885055.0,https://anaconda.org/conda-forge/scikit-image,2020-12-23 15:59:08.642000,2019669.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n22,pymongo,mongodb/mongo-python-driver,pymongo,conda-forge/pymongo,,db-clients,,https://github.com/mongodb/mongo-python-driver,https://github.com/mongodb/mongo-python-driver,Apache-2.0,2009-01-15 15:18:06.000000,2020-12-23 23:48:05.000000,2020-12-22 03:22:29.000000,969.0,7.0,,3189.0,4617.0,2020-12-02 23:37:26.000000,3.11.2,115.0,PyMongo - the Python driver for MongoDB.,118354.0,82492.0,179.0,36,https://pypi.org/project/pymongo,2020-12-02 23:31:25.000000,35862.0,5941476.0,5947273.0,https://anaconda.org/conda-forge/pymongo,2020-10-12 20:39:14.177000,318876.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n23,h5py,h5py/h5py,h5py,conda-forge/h5py,,data-containers,,https://github.com/h5py/h5py,https://github.com/h5py/h5py,BSD-3-Clause,2012-09-21 00:40:02.000000,2021-01-01 10:48:16.133000,2020-12-01 10:28:11.000000,393.0,182.0,937.0,1459.0,3463.0,2020-11-06 14:30:54.000000,3.1.0,25.0,HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.,119567.0,96631.0,156.0,36,https://pypi.org/project/h5py,2020-11-06 14:30:54.000000,22936.0,5620636.0,5695955.0,https://anaconda.org/conda-forge/h5py,2021-01-01 10:48:16.133000,4367615.0,True,1,765.0,,,,,,,,,,,,,,,,,,,,,,,\n24,Keras,keras-team/keras,keras,conda-forge/keras,https://keras.io,ml-frameworks,['tensorflow'],https://github.com/keras-team/keras,https://github.com/keras-team/keras,MIT,2015-03-28 00:35:42.000000,2020-12-29 21:18:18.000000,2020-12-29 21:18:07.000000,18680.0,3144.0,7219.0,50430.0,5362.0,2020-06-24 22:40:48.000000,2.4.3,53.0,Deep Learning for humans.,14996.0,,893.0,35,https://pypi.org/project/keras,2020-06-24 22:40:48.000000,14996.0,2005533.0,2031683.0,https://anaconda.org/conda-forge/keras,2020-06-25 19:13:34.254000,1385972.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n25,OpenAI Gym,openai/gym,gym,,,reinforcement-learning,,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16.000000,2020-12-25 22:55:29.000000,2020-12-18 23:40:47.000000,6550.0,223.0,1061.0,23029.0,1240.0,2020-12-19 00:29:36.000000,0.18.0,92.0,A toolkit for developing and comparing reinforcement learning algorithms.,20432.0,16870.0,271.0,35,https://pypi.org/project/gym,2020-12-19 00:29:36.000000,3562.0,306896.0,306896.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n26,XGBoost,dmlc/xgboost,xgboost,conda-forge/xgboost,https://xgboost.readthedocs.io/en/latest/,ml-frameworks,,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000000,2020-12-31 19:02:10.000000,2020-12-31 19:02:08.000000,7840.0,263.0,3632.0,20343.0,5169.0,2020-12-22 13:38:41.000000,1.3.1,50.0,\"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..\",14182.0,12590.0,500.0,35,https://pypi.org/project/xgboost,2020-12-09 19:03:33.000000,1592.0,2734632.0,2762204.0,https://anaconda.org/conda-forge/xgboost,2020-12-10 13:41:20.626000,1267332.0,True,2,1857.0,,,,,,,,,,,,,,,,,,,,,,,\n27,Airflow,apache/airflow,apache-airflow,conda-forge/airflow,,data-pipelines,,https://github.com/apache/airflow,https://github.com/apache/airflow,Apache-2.0,2015-04-13 18:04:58.000000,2021-01-01 11:13:21.000000,2021-01-01 11:11:01.000000,7625.0,907.0,1774.0,19996.0,11262.0,2020-12-18 13:21:47.000000,2.0.0,67.0,\"Platform to programmatically author, schedule, and monitor workflows.\",294.0,,1689.0,35,https://pypi.org/project/apache-airflow,2020-12-14 17:07:53.000000,294.0,582882.0,639826.0,https://anaconda.org/conda-forge/airflow,2020-11-26 16:17:26.980000,250777.0,True,1,69850.0,stable/airflow,,apache/airflow,https://hub.docker.com/r/apache/airflow,2020-12-31 13:24:27.745430,191.0,3461858.0,,,,,,,,,,,,,,,,\n28,LightGBM,microsoft/LightGBM,lightgbm,conda-forge/lightgbm,,ml-frameworks,,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000000,2021-01-01 09:15:43.000000,2020-12-29 23:46:57.000000,3136.0,88.0,1910.0,11993.0,2181.0,2020-12-08 03:00:35.000000,3.1.1,24.0,\"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..\",5686.0,5130.0,192.0,35,https://pypi.org/project/lightgbm,2020-12-08 03:00:35.000000,556.0,1456516.0,1469203.0,https://anaconda.org/conda-forge/lightgbm,2020-12-08 18:04:57.617000,455936.0,True,2,82448.0,,,,,,,,,,,,,,,,,,,,,,,\n29,gensim,RaRe-Technologies/gensim,gensim,conda-forge/gensim,,nlp,,https://github.com/RaRe-Technologies/gensim,https://github.com/RaRe-Technologies/gensim,LGPL-2.1,2011-02-10 07:43:04.000000,2020-12-27 07:46:30.000000,2020-11-15 20:49:41.000000,3825.0,349.0,1239.0,11541.0,3849.0,2020-05-04 05:55:15.000000,3.8.3,83.0,Topic Modelling for Humans.,24433.0,19691.0,384.0,35,https://pypi.org/project/gensim,2020-11-15 12:53:37.000000,4742.0,6863112.0,6877713.0,https://anaconda.org/conda-forge/gensim,2020-05-14 08:28:35.604000,582211.0,False,1,2895.0,,,,,,,,,,,,,,,,,,,,,,,\n30,Plotly,plotly/plotly.py,plotly,conda-forge/plotly,,data-viz,,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000000,2021-01-01 02:46:37.000000,2020-12-29 17:55:42.000000,1711.0,760.0,1037.0,8547.0,4886.0,2020-12-09 13:48:45.000000,4.14.1,263.0,The interactive graphing library for Python (includes Plotly Express).,4991.0,5.0,158.0,35,https://pypi.org/project/plotly,2020-12-09 13:29:15.000000,4982.0,2843198.0,2898000.0,https://anaconda.org/conda-forge/plotly,2020-12-09 14:47:46.237000,1134378.0,True,1,,,,,,,,,plotlywidget,https://www.npmjs.com/package/plotlywidget,2020-12-09 13:24:37.313000,4.0,33399.0,,,,,,,,,,,\n31,torchvision,pytorch/vision,torchvision,conda-forge/torchvision,,image,['pytorch'],https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000000,2020-12-31 12:30:50.000000,2020-12-23 09:15:15.000000,4100.0,458.0,1022.0,8051.0,1396.0,2020-12-10 17:10:41.000000,0.8.2,21.0,\"Datasets, Transforms and Models specific to Computer Vision.\",42569.0,37957.0,346.0,35,https://pypi.org/project/torchvision,2020-12-10 16:27:20.000000,4612.0,758134.0,759055.0,https://anaconda.org/conda-forge/torchvision,2018-10-14 22:06:28.203000,34107.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n32,Seaborn,mwaskom/seaborn,seaborn,conda-forge/seaborn,,data-viz,,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000000,2020-12-31 21:20:57.000000,2020-12-29 22:33:18.000000,1354.0,80.0,1646.0,7952.0,2733.0,2020-12-20 20:53:25.000000,0.11.1,23.0,Statistical data visualization using matplotlib.,88338.0,75552.0,144.0,35,https://pypi.org/project/seaborn,2020-12-20 20:53:25.000000,12786.0,2114386.0,2148849.0,https://anaconda.org/conda-forge/seaborn,2020-12-21 10:06:33.576000,1826530.0,True,1,107.0,,,,,,,,,,,,,,,,,,,,,,,\n33,dask,dask/dask,dask,conda-forge/dask,,distributed-ml,,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000000,2020-12-28 19:33:40.000000,2020-12-21 17:17:36.000000,1197.0,688.0,2777.0,7700.0,6265.0,2020-12-11 01:53:58.000000,2020.12.0,109.0,Parallel computing with task scheduling.,28038.0,24122.0,420.0,35,https://pypi.org/project/dask,2020-12-11 01:53:58.000000,3916.0,1349434.0,1399229.0,https://anaconda.org/conda-forge/dask,2020-12-11 06:35:53.129000,2788526.0,True,1,,stable/dask,,,,,,,,,,,,,,,,,,,,,,\n34,Arrow,apache/arrow,pyarrow,conda-forge/arrow,,data-containers,,https://github.com/apache/arrow,https://github.com/apache/arrow,Apache-2.0,2016-02-17 08:00:23.000000,2021-01-01 12:12:36.000000,2021-01-01 11:13:58.000000,1706.0,128.0,537.0,6802.0,8212.0,2020-10-19 21:15:12.000000,2.0.0,29.0,Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-..,1014.0,28.0,607.0,35,https://pypi.org/project/pyarrow,2020-10-19 21:15:12.000000,986.0,12730551.0,12738439.0,https://anaconda.org/conda-forge/arrow,2020-10-12 18:31:14.221000,441737.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n35,PyMySQL,PyMySQL/PyMySQL,PyMySQL,conda-forge/pymysql,,db-clients,,https://github.com/PyMySQL/PyMySQL,https://github.com/PyMySQL/PyMySQL,MIT,2011-07-27 17:38:47.000000,2020-12-10 02:51:07.000000,2020-12-10 02:51:06.000000,1238.0,18.0,515.0,6262.0,944.0,2020-09-10 07:38:01.000000,0.10.1,32.0,Pure Python MySQL Client.,89497.0,71071.0,104.0,35,https://pypi.org/project/PyMySQL,2020-09-10 07:38:01.000000,18426.0,5447202.0,5453071.0,https://anaconda.org/conda-forge/pymysql,2020-11-17 22:05:17.850000,228923.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n36,google-cloud-storage,googleapis/google-cloud-python,google-cloud-storage,conda-forge/google-cloud-storage,,db-clients,,https://github.com/googleapis/google-cloud-python,https://github.com/googleapis/google-cloud-python,Apache-2.0,2014-01-28 15:51:47.000000,2020-12-16 16:42:20.918000,2020-10-29 21:15:18.000000,1333.0,22.0,3313.0,3446.0,9049.0,2020-12-14 23:49:51.000000,1.35.0,100.0,Google Cloud Client Library for Python.,2108.0,,311.0,35,https://pypi.org/project/google-cloud-storage,2020-12-14 23:49:51.000000,2108.0,15191365.0,15204394.0,https://anaconda.org/conda-forge/google-cloud-storage,2020-12-16 16:42:20.918000,560273.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n37,elasticsearch,elastic/elasticsearch-py,elasticsearch,conda-forge/elasticsearch,,db-clients,,https://github.com/elastic/elasticsearch-py,https://github.com/elastic/elasticsearch-py,Apache-2.0,2013-05-01 22:47:39.000000,2020-12-30 22:55:37.000000,2020-12-28 20:25:01.000000,957.0,71.0,772.0,3050.0,1260.0,2020-12-09 17:27:30.000000,7.10.1,64.0,Official Python low-level client for Elasticsearch.,29728.0,19154.0,168.0,35,https://pypi.org/project/elasticsearch,2020-12-09 17:25:00.000000,10574.0,3694020.0,3700305.0,https://anaconda.org/conda-forge/elasticsearch,2020-12-11 18:29:47.476000,344691.0,True,1,54.0,,,,,,,,,,,,,,,,,,,,,,,\n38,psycopg2,psycopg/psycopg2,psycopg2,psycopg2,,db-clients,,https://github.com/psycopg/psycopg2,https://github.com/psycopg/psycopg2,BSD-3-Clause-Attribution,2013-01-21 11:05:11.000000,2020-12-25 15:42:39.583000,2020-12-16 23:41:45.000000,361.0,44.0,926.0,2019.0,2871.0,2020-12-25 13:51:59.000000,2.8.6,45.0,PostgreSQL database adapter for the Python programming language.,406209.0,286997.0,111.0,35,https://pypi.org/project/psycopg2,2020-09-06 22:41:27.000000,119212.0,5282519.0,5282971.0,https://anaconda.org/anaconda/psycopg2,2020-12-16 23:03:43.011000,28051.0,False,1,,,,,,,,,,,,,,0.0,,,,,,,,,,\n39,MXNet,apache/incubator-mxnet,mxnet,mxnet,,ml-frameworks,['mxnet'],https://github.com/apache/incubator-mxnet,https://github.com/apache/incubator-mxnet,Apache-2.0,2015-04-30 16:21:15.000000,2020-12-31 00:47:32.000000,2020-12-31 00:47:27.000000,6790.0,1807.0,7541.0,19197.0,11493.0,2020-08-28 05:08:24.000000,1.7.0,976.0,\"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..\",2132.0,1688.0,947.0,34,https://pypi.org/project/mxnet,2020-08-28 06:18:15.000000,444.0,138340.0,138908.0,https://anaconda.org/anaconda/mxnet,2020-02-29 00:58:31.007000,5649.0,True,2,23307.0,,,,,,,,,,,,,0.0,,,,,,,,,,\n40,dash,plotly/dash,dash,conda-forge/dash,,data-viz,,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000000,2020-12-30 18:03:21.000000,2020-12-18 15:14:48.000000,1377.0,387.0,550.0,13609.0,3542.0,2020-12-09 22:01:52.000000,1.18.1,136.0,\"Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.\",17654.0,16046.0,68.0,34,https://pypi.org/project/dash,2020-12-09 21:34:25.000000,1608.0,248007.0,254358.0,https://anaconda.org/conda-forge/dash,2020-12-11 15:37:58.126000,203261.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n41,nltk,nltk/nltk,nltk,conda-forge/nltk,,nlp,,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58.000000,2020-12-30 17:24:09.000000,2020-12-23 09:08:06.000000,2397.0,243.0,1219.0,9521.0,,2019-08-20 10:55:21.000000,3.4.5,39.0,Suite of libraries and programs for symbolic and statistical natural language processing for English.,105264.0,84272.0,384.0,34,https://pypi.org/project/nltk,2020-04-12 23:46:10.000000,20992.0,4556792.0,4568279.0,https://anaconda.org/conda-forge/nltk,2019-08-08 17:07:46.504000,608843.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n42,Theano,Theano/Theano,theano,conda-forge/theano,,ml-frameworks,,https://github.com/Theano/Theano,https://github.com/Theano/Theano,BSD-3-Clause,2011-08-10 03:48:06.000000,2020-11-01 11:19:03.292000,2020-09-05 10:39:50.000000,2501.0,674.0,2081.0,9319.0,28123.0,2020-07-27 16:13:54.000000,1.0.5,45.0,\"Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-..\",15366.0,9892.0,382.0,34,https://pypi.org/project/theano,2020-07-27 16:13:54.000000,5474.0,227012.0,250233.0,https://anaconda.org/conda-forge/theano,2020-11-01 11:19:03.292000,1253950.0,True,2,,,,,,,,,,,,,,,-1.0,,,,,,,,,\n43,kafka-python,dpkp/kafka-python,kafka-python,conda-forge/kafka-python,,db-clients,,https://github.com/dpkp/kafka-python,https://github.com/dpkp/kafka-python,Apache-2.0,2012-09-24 13:00:26.000000,2020-12-23 14:52:53.000000,2020-12-02 14:45:13.000000,1099.0,135.0,1148.0,4154.0,2152.0,2020-09-30 07:33:37.000000,2.0.1,36.0,Python client for Apache Kafka.,7605.0,5585.0,202.0,34,https://pypi.org/project/kafka-python,2020-09-30 07:24:01.000000,2020.0,1977370.0,1982674.0,https://anaconda.org/conda-forge/kafka-python,2020-09-30 13:01:38.284000,232482.0,True,2,1666.0,,,,,,,,,,,,,,,,,,,,,,,\n44,Bokeh,bokeh/bokeh,bokeh,conda-forge/bokeh,,data-viz,,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000000,2021-01-01 11:54:19.000000,2020-12-31 12:28:24.000000,3591.0,591.0,5714.0,14459.0,,2020-10-21 02:39:03.000000,2.2.3,81.0,\"Interactive Data Visualization in the browser, from Python.\",35209.0,29337.0,541.0,33,https://pypi.org/project/bokeh,2020-12-08 11:21:40.000000,5872.0,1053716.0,1131591.0,https://anaconda.org/conda-forge/bokeh,2020-11-23 14:37:30.508000,3504418.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n45,Ray,ray-project/ray,ray,,,distributed-ml,,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000000,2021-01-01 06:34:06.000000,2020-12-31 22:25:38.000000,2258.0,1173.0,4398.0,14244.0,6818.0,2020-12-24 10:13:39.000000,1.1.0,43.0,\"An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged..\",1566.0,1406.0,411.0,33,https://pypi.org/project/ray,2020-12-24 10:13:39.000000,160.0,201962.0,201962.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n46,luigi,spotify/luigi,luigi,luigi,,data-pipelines,,https://github.com/spotify/luigi,https://github.com/spotify/luigi,Apache-2.0,2012-09-20 15:06:38.000000,2020-12-31 04:41:24.000000,2020-12-29 12:23:53.000000,2208.0,67.0,835.0,14061.0,3940.0,2020-09-23 11:57:43.000000,3.0.2,72.0,\"Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution,..\",1971.0,1295.0,547.0,33,https://pypi.org/project/luigi,2020-09-23 11:57:12.000000,676.0,393818.0,393923.0,https://anaconda.org/anaconda/luigi,2020-07-21 19:50:10.849000,6222.0,True,1,,stable/luigi,,,,,,,,,,,,,,,,,,,,,,\n47,shap,slundberg/shap,shap,conda-forge/shap,,interpretability,,https://github.com/slundberg/shap,https://github.com/slundberg/shap,MIT,2016-11-22 19:17:08.000000,2020-12-30 23:06:07.000000,2020-12-24 23:28:15.000000,1611.0,871.0,490.0,11271.0,1743.0,2020-11-04 21:38:32.000000,0.37.0,92.0,A game theoretic approach to explain the output of any machine learning model.,1947.0,1811.0,141.0,33,https://pypi.org/project/shap,2020-11-04 21:38:32.000000,136.0,775634.0,787405.0,https://anaconda.org/conda-forge/shap,2020-12-16 19:26:39.477000,341367.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n48,pytorch-lightning,PyTorchLightning/pytorch-lightning,pytorch-lightning,conda-forge/pytorch-lightning,,ml-frameworks,['pytorch'],https://github.com/PyTorchLightning/pytorch-lightning,https://github.com/PyTorchLightning/pytorch-lightning,Apache-2.0,2019-03-31 00:45:57.000000,2021-01-01 11:23:20.000000,2020-12-31 16:24:33.000000,1273.0,351.0,2313.0,11127.0,4018.0,2020-12-23 09:49:58.000000,1.1.2,144.0,\"The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.\",1561.0,1547.0,352.0,33,https://pypi.org/project/pytorch-lightning,2020-12-23 09:49:58.000000,14.0,103225.0,105037.0,https://anaconda.org/conda-forge/pytorch-lightning,2020-12-23 13:11:44.339000,12689.0,True,2,17.0,,,,,,,,,,,,,,,,,,,,,,,\n49,dlib,davisking/dlib,dlib,conda-forge/dlib,,ml-frameworks,,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000000,2020-12-30 17:28:55.000000,2020-12-30 17:28:53.000000,2832.0,46.0,1799.0,9766.0,7896.0,2020-12-04 19:23:04.000000,19.21.1,28.0,A toolkit for making real world machine learning and data analysis applications in C++.,9118.0,7760.0,162.0,33,https://pypi.org/project/dlib,2020-12-04 19:23:04.000000,1358.0,78955.0,84255.0,https://anaconda.org/conda-forge/dlib,2020-12-05 11:14:31.456000,256805.0,False,2,24282.0,,,,,,,,,,,,,,,,,,,,,,,\n50,onnx,onnx/onnx,onnx,conda-forge/onnx,,model-serialisation,,https://github.com/onnx/onnx,https://github.com/onnx/onnx,MIT,2017-09-07 04:53:45.000000,2021-01-01 05:42:46.000000,2020-12-20 04:37:49.000000,1723.0,501.0,909.0,9574.0,1653.0,2020-11-07 00:55:30.000000,1.8.0,19.0,Open standard for machine learning interoperability.,2604.0,2308.0,188.0,33,https://pypi.org/project/onnx,2020-11-06 22:46:10.000000,296.0,333032.0,337961.0,https://anaconda.org/conda-forge/onnx,2020-11-10 11:04:34.755000,178062.0,True,1,9528.0,,,,,,,,,,,,,,,,,,,,,,,\n51,mlflow,mlflow/mlflow,mlflow,conda-forge/mlflow,,ml-experiments,,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000000,2020-12-31 14:14:06.094000,2020-12-31 14:08:58.000000,1827.0,656.0,1019.0,8090.0,1829.0,2020-12-31 09:17:41.000000,1.13.1,40.0,Open source platform for the machine learning lifecycle.,1888.0,1734.0,269.0,33,https://pypi.org/project/mlflow,2020-12-31 08:55:08.000000,154.0,2566686.0,2575851.0,https://anaconda.org/conda-forge/mlflow,2020-12-31 14:14:06.094000,192481.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n52,peewee,coleifer/peewee,peewee,conda-forge/peewee,,db-clients,,https://github.com/coleifer/peewee,https://github.com/coleifer/peewee,MIT,2010-10-11 20:14:11.000000,2020-12-29 14:56:49.000000,2020-12-29 14:56:31.000000,1254.0,1.0,1910.0,8045.0,4283.0,2020-11-07 18:48:43.000000,3.14.0,165.0,\"a small, expressive orm -- supports postgresql, mysql and sqlite.\",18132.0,11668.0,144.0,33,https://pypi.org/project/peewee,2020-11-07 18:47:45.000000,6464.0,175871.0,180845.0,https://anaconda.org/conda-forge/peewee,2020-11-11 21:24:13.453000,268616.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n53,python-bigquery,googleapis/python-bigquery,google-cloud-bigquery,,,db-clients,,https://github.com/googleapis/python-bigquery,https://github.com/googleapis/python-bigquery,Apache-2.0,2019-12-10 00:09:04.000000,2020-12-30 21:27:30.000000,2020-12-22 22:20:48.000000,1333.0,43.0,162.0,3426.0,1068.0,2020-12-09 21:06:40.000000,2.6.1,74.0,Google BigQuery API client library.,7433.0,6183.0,86.0,33,https://pypi.org/project/google-cloud-bigquery,2020-12-09 21:06:40.000000,1250.0,8864915.0,8864915.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n54,geopy,geopy/geopy,geopy,conda-forge/geopy,,geospatial-data,,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000000,2020-12-31 17:30:28.000000,2020-12-27 16:15:28.000000,524.0,24.0,211.0,3137.0,1004.0,2020-12-27 13:15:23.000000,2.1.0,57.0,Geocoding library for Python.,22294.0,15050.0,117.0,33,https://pypi.org/project/geopy,2020-12-27 13:12:21.000000,7244.0,3492523.0,3501004.0,https://anaconda.org/conda-forge/geopy,2020-12-27 14:22:55.127000,491905.0,True,1,,,,,,,,,,,,,,,1.0,,,,,,,,,\n55,xlrd,python-excel/xlrd,xlrd,conda-forge/xlrd,,data-loading,,https://github.com/python-excel/xlrd,https://github.com/python-excel/xlrd,BSD-3-Clause,2012-03-07 04:50:48.000000,2020-12-12 15:24:26.000000,2020-12-12 15:24:25.000000,406.0,3.0,,1837.0,502.0,2020-12-11 10:14:20.000000,2.0.1,24.0,Please use openpyxl where you can...,73947.0,60373.0,50.0,33,https://pypi.org/project/xlrd,2020-12-11 10:14:20.000000,13574.0,5618975.0,5643338.0,https://anaconda.org/conda-forge/xlrd,2020-07-25 21:25:25.518000,1120724.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n56,Fastai,fastai/fastai,fastai,,,ml-frameworks,['pytorch'],https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000000,2020-12-31 04:53:20.000000,2020-12-29 03:30:45.000000,6874.0,59.0,1280.0,20208.0,1619.0,2020-12-22 20:02:47.000000,2.1.10,110.0,\"The fastai deep learning library, plus lessons and tutorials.\",368.0,,472.0,32,https://pypi.org/project/fastai,2020-12-22 20:02:53.000000,368.0,121885.0,121885.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n57,jax,google/jax,jax,conda-forge/jaxlib,,ml-frameworks,,https://github.com/google/jax,https://github.com/google/jax,Apache-2.0,2018-10-25 21:25:02.000000,2020-12-31 17:31:38.000000,2020-12-31 17:31:27.000000,897.0,685.0,1329.0,10889.0,6430.0,2020-12-05 06:20:45.000000,0.2.7,86.0,\"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.\",976.0,930.0,240.0,32,https://pypi.org/project/jax,2020-12-05 06:20:45.000000,46.0,85868.0,89477.0,https://anaconda.org/conda-forge/jaxlib,2020-10-14 04:33:18.732000,64974.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n58,tensor2tensor,tensorflow/tensor2tensor,tensor2tensor,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/tensor2tensor,https://github.com/tensorflow/tensor2tensor,Apache-2.0,2017-06-15 16:57:39.000000,2020-12-15 01:23:04.000000,2020-11-16 14:28:10.000000,2690.0,545.0,662.0,10745.0,4345.0,2020-06-17 16:15:36.000000,1.15.7,79.0,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,954.0,872.0,230.0,32,https://pypi.org/project/tensor2tensor,2020-06-17 16:15:36.000000,82.0,76152.0,76152.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n59,Rasa,RasaHQ/rasa,rasa,,,nlp,['tensorflow'],https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49.000000,2021-01-01 02:42:26.000000,2020-12-31 16:14:05.000000,3157.0,499.0,4299.0,10433.0,24097.0,2020-12-21 18:34:10.000000,2.2.2,174.0,\"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..\",64.0,,452.0,32,https://pypi.org/project/rasa,2020-12-21 18:34:01.000000,64.0,78343.0,78343.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n60,PyMC3,pymc-devs/pymc3,pymc3,conda-forge/pymc3,,probabilistics,,https://github.com/pymc-devs/pymc3,https://github.com/pymc-devs/pymc3,Apache-2.0,2009-05-05 09:43:50.000000,2021-01-01 11:00:47.000000,2020-12-31 18:50:24.000000,1316.0,153.0,1947.0,5460.0,7612.0,2020-12-07 15:59:43.000000,3.10.0,30.0,Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano.,2178.0,1892.0,301.0,32,https://pypi.org/project/pymc3,2020-12-07 15:45:00.000000,286.0,127775.0,132430.0,https://anaconda.org/conda-forge/pymc3,2020-12-07 20:54:14.048000,237372.0,True,1,145.0,,,,,,,,,,,,,,,,,,,,,,,\n61,Beam,apache/beam,apache-beam,,,data-pipelines,,https://github.com/apache/beam,https://github.com/apache/beam,Apache-2.0,2016-02-02 08:00:06.000000,2021-01-01 07:51:55.000000,2020-12-31 13:59:24.000000,2739.0,115.0,,4480.0,30094.0,2020-12-11 21:24:20.000000,2.26.0,29.0,\"Unified programming model to define and execute data processing pipelines, including ETL, batch and stream processing.\",186.0,,987.0,32,https://pypi.org/project/apache-beam,2020-12-11 19:58:03.000000,186.0,1768181.0,1768181.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n62,xmltodict,martinblech/xmltodict,xmltodict,conda-forge/xmltodict,,data-loading,,https://github.com/martinblech/xmltodict,https://github.com/martinblech/xmltodict,MIT,2012-04-17 14:38:21.000000,2020-11-05 01:54:38.000000,2020-04-26 05:15:03.000000,394.0,63.0,134.0,4218.0,205.0,2019-02-11 07:00:26.000000,0.12.0,27.0,Python module that makes working with XML feel like you are working with JSON.,28001.0,19767.0,41.0,32,https://pypi.org/project/xmltodict,2019-02-11 07:00:26.000000,8234.0,4116028.0,4126979.0,https://anaconda.org/conda-forge/xmltodict,2019-02-11 11:53:14.803000,580446.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n63,Tablib,jazzband/tablib,tablib,conda-forge/tablib,,data-loading,,https://github.com/jazzband/tablib,https://github.com/jazzband/tablib,MIT,2011-03-28 02:36:50.000000,2020-12-13 06:03:08.000000,2020-12-11 07:22:54.000000,557.0,34.0,197.0,3828.0,1123.0,2020-12-05 14:56:28.000000,3.0.0,38.0,\"Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c.\",11254.0,8896.0,110.0,32,https://pypi.org/project/tablib,2020-12-05 14:56:28.000000,2358.0,586809.0,587921.0,https://anaconda.org/conda-forge/tablib,2020-12-05 16:40:48.469000,55618.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n64,tensorflow-hub,tensorflow/hub,tensorflow-hub,conda-forge/tensorflow-hub,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42.000000,2020-12-30 20:54:48.000000,2020-12-30 20:54:44.000000,1412.0,44.0,490.0,2668.0,811.0,2020-10-29 15:10:15.000000,0.10.0,13.0,A library for transfer learning by reusing parts of TensorFlow models.,5163.0,4849.0,65.0,32,https://pypi.org/project/tensorflow-hub,2020-10-29 14:53:02.000000,314.0,1024199.0,1025751.0,https://anaconda.org/conda-forge/tensorflow-hub,2020-08-24 16:43:36.561000,48128.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n65,TensorFlow Datasets,tensorflow/datasets,tensorflow-datasets,,,data-loading,['tensorflow'],https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000000,2020-12-30 14:00:09.000000,2020-12-29 22:01:30.000000,892.0,380.0,508.0,2590.0,3641.0,2020-11-04 12:02:52.000000,4.1.0,19.0,\"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...\",3337.0,3235.0,177.0,32,https://pypi.org/project/tensorflow-datasets,2020-10-09 17:47:49.000000,102.0,570937.0,570937.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n66,Thinc,explosion/thinc,thinc,conda-forge/thinc,,ml-frameworks,,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59.000000,2020-12-27 20:32:54.000000,2020-12-27 20:32:53.000000,185.0,14.0,80.0,2136.0,4866.0,2020-12-11 09:45:43.000000,7.4.5,182.0,\"A refreshing functional take on deep learning, compatible with your favorite libraries.\",11459.0,10321.0,34.0,32,https://pypi.org/project/thinc,2020-12-16 23:18:41.000000,1138.0,888326.0,906088.0,https://anaconda.org/conda-forge/thinc,2020-12-18 09:40:27.092000,834847.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n67,xarray,pydata/xarray,xarray,conda-forge/xarray,,data-containers,,https://github.com/pydata/xarray,https://github.com/pydata/xarray,Apache-2.0,2013-09-30 17:21:10.000000,2020-12-31 23:56:17.000000,2020-12-31 19:59:52.000000,610.0,766.0,1854.0,1882.0,3447.0,2020-11-30 21:28:55.000000,0.16.2,55.0,N-D labeled arrays and datasets in Python.,5878.0,4746.0,287.0,32,https://pypi.org/project/xarray,2020-11-30 21:26:20.000000,1132.0,295207.0,333205.0,https://anaconda.org/conda-forge/xarray,2020-12-01 04:59:09.242000,2203894.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n68,DeepSpeech,mozilla/DeepSpeech,deepspeech,,,audio,['tensorflow'],https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53.000000,2020-12-30 18:12:38.000000,2020-12-19 09:28:21.000000,2971.0,85.0,1821.0,16170.0,3329.0,2020-12-10 17:22:09.000000,0.9.3,100.0,\"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..\",403.0,374.0,152.0,31,https://pypi.org/project/deepspeech,2020-12-19 10:05:12.000000,29.0,15780.0,29533.0,,,,True,1,385086.0,,,,,,,,,,,,,,,,,,,,,,,\n69,fairseq,pytorch/fairseq,fairseq,,,nlp,['pytorch'],https://github.com/pytorch/fairseq,https://github.com/pytorch/fairseq,MIT,2017-08-29 16:26:12.000000,2020-12-31 18:23:57.000000,2020-12-31 04:16:56.000000,2737.0,595.0,1719.0,10845.0,1691.0,2020-11-21 20:52:43.000000,0.10.1,12.0,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,278.0,258.0,282.0,31,https://pypi.org/project/fairseq,2020-11-21 20:52:43.000000,20.0,8808.0,8809.0,,,,True,1,53.0,,,,,,,,,,,,,,1.0,,,,,,,,,\n70,ChatterBot,gunthercox/ChatterBot,chatterbot,,,nlp,,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00.000000,2021-01-01 02:42:03.000000,2020-08-20 21:16:14.000000,3563.0,201.0,1218.0,10677.0,1847.0,2020-08-22 18:42:43.000000,1.0.8,86.0,\"ChatterBot is a machine learning, conversational dialog engine for creating chat bots.\",3689.0,3009.0,103.0,31,https://pypi.org/project/chatterbot,2020-08-22 18:40:36.000000,680.0,24203.0,24203.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n71,imgaug,aleju/imgaug,imgaug,conda-forge/imgaug,,image,,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33.000000,2020-10-19 12:23:22.000000,2020-06-01 14:58:26.000000,1945.0,213.0,203.0,10471.0,2913.0,2020-02-06 06:18:40.000000,0.4.0,11.0,Image augmentation for machine learning experiments.,5195.0,4917.0,36.0,31,https://pypi.org/project/imgaug,2020-02-05 20:54:22.000000,278.0,151238.0,152831.0,https://anaconda.org/conda-forge/imgaug,2020-02-14 16:06:53.525000,30279.0,True,1,,,,,,,,,,,,,,,-1.0,,,,,,,,,\n72,pyecharts,pyecharts/pyecharts,pyecharts,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,data-viz,['jupyter'],https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000000,2020-12-23 04:48:43.000000,2020-12-23 04:48:42.000000,2302.0,22.0,1327.0,10300.0,1510.0,2020-10-29 15:14:08.000000,1.9.0,66.0,Python Echarts Plotting Library.,1684.0,1402.0,29.0,31,https://pypi.org/project/pyecharts,2020-10-29 15:14:08.000000,282.0,35514.0,35514.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n73,wordcloud,amueller/word_cloud,wordcloud,conda-forge/wordcloud,,data-viz,,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59.000000,2020-12-30 05:21:08.000000,2020-11-11 21:35:51.000000,2001.0,91.0,343.0,7760.0,540.0,2020-11-11 21:41:02.000000,1.8.1,16.0,A little word cloud generator in Python.,9276.0,8172.0,58.0,31,https://pypi.org/project/wordcloud,2020-11-11 21:41:02.000000,1104.0,243773.0,247154.0,https://anaconda.org/conda-forge/wordcloud,2020-11-16 19:55:57.630000,179195.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n74,Catboost,catboost/catboost,catboost,conda-forge/catboost,,ml-frameworks,,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000000,2021-01-01 08:39:39.000000,2021-01-01 08:39:34.000000,854.0,298.0,1027.0,5619.0,14113.0,2020-12-27 09:12:53.000000,0.24.4,91.0,\"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..\",162.0,,712.0,31,https://pypi.org/project/catboost,2020-12-27 06:58:33.000000,162.0,752606.0,770792.0,https://anaconda.org/conda-forge/catboost,2020-12-29 11:38:06.128000,544759.0,True,2,46546.0,,,,,,,,,,,,,,,,,,,,,,,\n75,Chainer,chainer/chainer,chainer,,,ml-frameworks,,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37.000000,2020-12-23 09:08:21.000000,2020-12-23 09:08:19.000000,1371.0,16.0,2016.0,5511.0,30550.0,2020-07-30 09:01:53.000000,7.7.0,108.0,A flexible framework of neural networks for deep learning.,2514.0,1772.0,319.0,31,https://pypi.org/project/chainer,2020-07-30 09:01:53.000000,742.0,19413.0,19413.0,,,,True,2,,,,,,,,,,,,,,,-1.0,,,,,,,,,\n76,Hyperopt,hyperopt/hyperopt,hyperopt,conda-forge/hyperopt,,hyperopt,,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59.000000,2020-12-30 19:02:44.000000,2020-12-24 07:20:10.000000,841.0,326.0,219.0,5305.0,1168.0,2020-10-07 09:52:56.000000,0.2.5,11.0,Distributed Asynchronous Hyperparameter Optimization in Python.,2938.0,2434.0,84.0,31,https://pypi.org/project/hyperopt,2020-10-07 09:52:56.000000,504.0,441635.0,446941.0,https://anaconda.org/conda-forge/hyperopt,2020-10-14 07:57:14.292000,148583.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n77,folium,python-visualization/folium,folium,conda-forge/folium,,geospatial-data,,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000000,2020-12-28 11:45:07.000000,2020-12-28 11:45:06.000000,1865.0,143.0,682.0,5064.0,1466.0,2020-05-07 13:33:22.000000,0.11.0,22.0,Python Data. Leaflet.js Maps.,8830.0,7862.0,119.0,31,https://pypi.org/project/folium,2020-05-07 13:33:22.000000,968.0,247806.0,253133.0,https://anaconda.org/conda-forge/folium,2020-05-07 14:25:29.817000,308983.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n78,sentencepiece,google/sentencepiece,sentencepiece,conda-forge/sentencepiece,,nlp,,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000000,2020-12-30 08:10:07.000000,2020-12-30 08:09:54.000000,605.0,30.0,369.0,4677.0,646.0,2020-10-24 05:57:45.000000,0.1.94,29.0,Unsupervised text tokenizer for Neural Network-based text generation.,5287.0,5167.0,46.0,31,https://pypi.org/project/sentencepiece,2020-10-24 05:57:45.000000,120.0,1066073.0,1069818.0,https://anaconda.org/conda-forge/sentencepiece,2020-10-10 10:54:37.164000,20603.0,True,1,9049.0,,,,,,,,,,,,,,,,,,,,,,,\n79,Optuna,optuna/optuna,optuna,conda-forge/optuna,,hyperopt,,https://github.com/optuna/optuna,https://github.com/optuna/optuna,MIT,2018-02-21 06:12:56.000000,2020-12-30 15:52:49.000000,2020-12-30 15:52:47.000000,440.0,178.0,450.0,3816.0,8619.0,2020-11-04 04:28:46.000000,2.3.0,33.0,A hyperparameter optimization framework.,874.0,822.0,120.0,31,https://pypi.org/project/optuna,2020-11-04 04:29:39.000000,52.0,170409.0,171545.0,https://anaconda.org/conda-forge/optuna,2020-11-11 01:21:26.236000,15907.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n80,tensorflow-probability,tensorflow/probability,tensorflow-probability,conda-forge/tensorflow-probability,,probabilistics,['tensorflow'],https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000000,2020-12-30 22:48:20.000000,2020-12-30 22:48:16.000000,840.0,421.0,511.0,3178.0,10149.0,2020-12-29 18:40:25.000000,0.12.1,35.0,Probabilistic reasoning and statistical analysis in TensorFlow.,253.0,1.0,398.0,31,https://pypi.org/project/tensorflow-probability,2020-12-29 17:46:08.000000,252.0,302913.0,304151.0,https://anaconda.org/conda-forge/tensorflow-probability,2020-03-13 21:04:53.147000,28482.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n81,Elasticsearch DSL,elastic/elasticsearch-dsl-py,elasticsearch-dsl,,,db-clients,,https://github.com/elastic/elasticsearch-dsl-py,https://github.com/elastic/elasticsearch-dsl-py,Apache-2.0,2014-03-05 16:19:39.000000,2020-12-18 15:29:56.000000,2020-12-08 20:53:06.000000,665.0,54.0,1093.0,3126.0,1007.0,2020-09-17 13:45:33.000000,7.3.0,32.0,High level Python client for Elasticsearch.,5640.0,4084.0,121.0,31,https://pypi.org/project/elasticsearch-dsl,2020-09-17 13:41:36.000000,1556.0,943750.0,943755.0,,,,True,2,21.0,,,,,,,,,,,,,,,,,,,,,,,\n82,scikit-optimize,scikit-optimize/scikit-optimize,scikit-optimize,conda-forge/scikit-optimize,,hyperopt,,https://github.com/scikit-optimize/scikit-optimize,https://github.com/scikit-optimize/scikit-optimize,BSD-3-Clause,2016-03-20 21:10:54.000000,2020-12-31 12:07:53.000000,2020-12-31 12:07:52.000000,366.0,160.0,353.0,1994.0,1541.0,2020-09-04 09:08:10.000000,0.8.1,22.0,Sequential model-based optimization with a `scipy.optimize` interface.,1422.0,1262.0,68.0,31,https://pypi.org/project/scikit-optimize,2020-09-04 09:08:10.000000,160.0,497857.0,502089.0,https://anaconda.org/conda-forge/scikit-optimize,2020-09-04 09:50:52.372000,177756.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n83,Prometheus Client,prometheus/client_python,prometheus_client,conda-forge/prometheus_client,,db-clients,,https://github.com/prometheus/client_python,https://github.com/prometheus/client_python,Apache-2.0,2015-02-10 22:47:25.000000,2020-12-27 19:13:50.000000,2020-12-27 19:13:45.000000,501.0,26.0,285.0,1956.0,408.0,2020-11-16 13:40:13.000000,0.9.0,33.0,Prometheus instrumentation library for Python applications.,3738.0,,96.0,31,https://pypi.org/project/prometheus_client,2019-06-20 13:35:09.000000,3738.0,12454394.0,12497115.0,https://anaconda.org/conda-forge/prometheus_client,2020-11-16 16:13:46.080000,2178778.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n84,numexpr,pydata/numexpr,numexpr,conda-forge/numexpr,,data-containers,,https://github.com/pydata/numexpr,https://github.com/pydata/numexpr,MIT,2013-11-30 22:33:48.000000,2020-12-30 15:44:31.934000,2020-12-29 20:51:09.000000,161.0,53.0,247.0,1497.0,666.0,2020-12-29 18:58:07.000000,2.7.2,38.0,\"Fast numerical array expression evaluator for Python, NumPy, PyTables, pandas, bcolz and more.\",5482.0,,55.0,31,https://pypi.org/project/numexpr,2020-01-05 17:55:57.000000,5482.0,807643.0,845547.0,https://anaconda.org/conda-forge/numexpr,2020-12-30 15:44:31.934000,2008914.0,True,2,,,,,,,,,,,,,,,1.0,,,,,,,,,\n85,MNE,mne-tools/mne-python,mne,conda-forge/mne,,medical-data,,https://github.com/mne-tools/mne-python,https://github.com/mne-tools/mne-python,BSD-3-Clause,2011-01-28 03:31:13.000000,2020-12-31 21:16:17.000000,2020-12-31 21:16:16.000000,836.0,298.0,3062.0,1464.0,15678.0,2020-12-17 15:32:54.000000,0.22.0,50.0,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,959.0,761.0,237.0,31,https://pypi.org/project/mne,2020-12-17 15:32:54.000000,198.0,24449.0,26456.0,https://anaconda.org/conda-forge/mne,2020-12-20 21:44:36.472000,94371.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n86,influxdb,influxdata/influxdb-python,influxdb,conda-forge/influxdb,,db-clients,,https://github.com/influxdata/influxdb-python,https://github.com/influxdata/influxdb-python,MIT,2013-11-05 19:27:16.000000,2020-12-31 19:10:02.000000,2020-12-31 19:10:01.000000,479.0,130.0,366.0,1444.0,962.0,2020-11-11 21:23:41.000000,5.3.1,54.0,Python client for InfluxDB.,5915.0,3805.0,134.0,31,https://pypi.org/project/influxdb,2020-11-11 21:23:41.000000,2110.0,1061127.0,1062019.0,https://anaconda.org/conda-forge/influxdb,2020-11-12 02:29:15.949000,8030.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n87,SageMaker SDK,aws/sagemaker-python-sdk,sagemaker,,,ml-experiments,\"['mxnet', 'tensorflow']\",https://github.com/aws/sagemaker-python-sdk,https://github.com/aws/sagemaker-python-sdk,Apache-2.0,2017-11-14 01:03:33.000000,2020-12-31 19:45:49.000000,2020-12-29 17:55:49.000000,548.0,198.0,515.0,1281.0,1783.0,2020-12-29 17:57:36.000000,2.23.1,297.0,A library for training and deploying machine learning models on Amazon SageMaker.,568.0,540.0,162.0,31,https://pypi.org/project/sagemaker,2020-12-29 17:57:36.000000,28.0,462760.0,462760.0,,,,True,1,,,,,,,,,,,,,,,1.0,,,,,,,,,\n88,Cassandra Driver,datastax/python-driver,cassandra-driver,conda-forge/cassandra-driver,,db-clients,,https://github.com/datastax/python-driver,https://github.com/datastax/python-driver,Apache-2.0,2013-07-08 19:02:31.000000,2020-11-30 17:16:16.000000,2020-11-11 00:22:01.000000,446.0,13.0,,1205.0,5939.0,2020-06-18 14:44:49.000000,3.24.0,70.0,DataStax Python Driver for Apache Cassandra.,3529.0,2343.0,174.0,31,https://pypi.org/project/cassandra-driver,2020-06-18 14:44:49.000000,1186.0,613244.0,614571.0,https://anaconda.org/conda-forge/cassandra-driver,2020-10-12 14:49:43.415000,59758.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n89,feedparser,kurtmckee/feedparser,feedparser,,,web-scraping,,https://github.com/kurtmckee/feedparser,https://github.com/kurtmckee/feedparser,BSD-2-Clause,2010-11-26 02:53:24.000000,2020-12-27 18:45:11.000000,2020-12-27 18:44:36.000000,254.0,66.0,108.0,1161.0,1040.0,2020-10-25 17:38:15.000000,6.0.2,15.0,Parse feeds in Python.,13774.0,,42.0,31,https://pypi.org/project/feedparser,2020-10-25 17:38:15.000000,13774.0,531638.0,531638.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n90,imageio,imageio/imageio,imageio,conda-forge/imageio,,image,,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000000,2020-12-11 13:32:14.000000,2020-12-07 13:48:21.000000,160.0,60.0,270.0,818.0,1125.0,2020-07-10 07:45:22.000000,2.9.0,31.0,Python library for reading and writing image data.,37982.0,34144.0,69.0,31,https://pypi.org/project/imageio,2020-07-06 13:20:41.000000,3838.0,1934658.0,1967590.0,https://anaconda.org/conda-forge/imageio,2020-07-06 14:13:25.518000,1580740.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n91,PaddlePaddle,PaddlePaddle/Paddle,paddlepaddle,,,ml-frameworks,['paddle'],https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000000,2020-12-31 15:00:48.000000,2020-12-31 15:00:46.000000,3354.0,2271.0,10175.0,13710.0,15069.0,2020-12-18 09:06:54.000000,2.0.0-rc1,41.0,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,38.0,22.0,486.0,30,https://pypi.org/project/paddlepaddle,2020-12-14 08:03:41.000000,16.0,8175.0,8462.0,,,,True,2,15245.0,,,,,,,,,,,,,,,,,,,,,,,\n92,zipline,quantopian/zipline,zipline,,,financial-data,,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29.000000,2020-12-18 13:20:06.000000,2020-10-14 16:36:49.000000,3736.0,324.0,645.0,13022.0,6226.0,2020-10-05 15:46:20.429000,1.4.1,30.0,\"Zipline, a Pythonic Algorithmic Trading Library.\",818.0,660.0,151.0,30,https://pypi.org/project/zipline,2020-10-05 15:46:20.429000,158.0,4416.0,4416.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n93,Prophet,facebook/prophet,fbprophet,,,time-series-data,,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000000,2020-12-30 04:44:43.000000,2020-12-08 23:35:54.000000,3393.0,93.0,1394.0,12037.0,603.0,2020-09-05 16:12:50.000000,0.7.1,14.0,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,150.0,,121.0,30,https://pypi.org/project/fbprophet,2020-09-05 16:12:50.000000,150.0,652365.0,652376.0,,,,True,1,521.0,,,,,,,,,,,,,,,,,,,,,,,\n94,Requests-HTML,psf/requests-html,requests-html,,,web-scraping,,https://github.com/psf/requests-html,https://github.com/psf/requests-html,MIT,2018-02-24 20:11:02.000000,2020-12-05 04:48:45.000000,2020-05-10 19:40:04.000000,766.0,131.0,188.0,11373.0,449.0,2019-02-18 21:38:41.000000,0.10.0,36.0,Pythonic HTML Parsing for Humans.,3849.0,3485.0,62.0,30,https://pypi.org/project/requests-html,2019-02-17 20:14:17.000000,364.0,295939.0,295939.0,,,,True,2,,,,,,,,,,,,,,,1.0,,,,,,,,,\n95,horovod,horovod/horovod,horovod,,,distributed-ml,,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000000,2020-12-31 13:01:47.000000,2020-12-22 15:22:03.000000,1681.0,254.0,1369.0,10631.0,832.0,2020-11-23 23:57:42.000000,0.21.0,60.0,\"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.\",322.0,302.0,109.0,30,https://pypi.org/project/horovod,2020-10-01 14:54:24.000000,20.0,114529.0,114529.0,,,,True,1,,stable/horovod,,,,,,,,,,,,,,,,,,,,,,\n96,flair,flairNLP/flair,flair,,,nlp,['pytorch'],https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,MIT,2018-06-11 11:04:18.000000,2020-12-30 17:00:56.000000,2020-12-17 06:42:58.000000,1405.0,113.0,1307.0,9744.0,2984.0,2020-12-01 19:35:00.000000,0.7,19.0,A very simple framework for state-of-the-art Natural Language Processing (NLP).,623.0,575.0,156.0,30,https://pypi.org/project/flair,2020-12-01 19:02:38.000000,48.0,39917.0,39917.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n97,TFlearn,tflearn/tflearn,tflearn,,,ml-frameworks,['tensorflow'],https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,MIT,2016-03-31 12:05:53.000000,2020-11-30 04:35:03.000000,2020-11-30 04:34:51.000000,2423.0,574.0,358.0,9496.0,613.0,2020-11-11 19:26:11.000000,0.5.0,8.0,Deep learning library featuring a higher-level API for TensorFlow.,3352.0,2871.0,128.0,30,https://pypi.org/project/tflearn,2020-11-11 19:13:47.000000,481.0,14162.0,14162.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n98,Vowpal Wabbit,VowpalWabbit/vowpal_wabbit,vowpalwabbit,,,ml-frameworks,,https://github.com/VowpalWabbit/vowpal_wabbit,https://github.com/VowpalWabbit/vowpal_wabbit,BSD-3-Clause,2009-07-31 19:36:58.000000,2020-12-31 21:34:20.000000,2020-12-30 22:50:21.000000,1696.0,161.0,855.0,7374.0,8975.0,2020-11-12 14:41:09.000000,8.9.0,12.0,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,95.0,87.0,296.0,30,https://pypi.org/project/vowpalwabbit,2020-11-12 14:41:09.000000,8.0,17998.0,17998.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n99,DVC,iterative/dvc,dvc,conda-forge/dvc,,ml-experiments,,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000000,2021-01-01 07:19:05.000000,2020-12-31 04:28:07.000000,656.0,489.0,2116.0,6983.0,6167.0,2020-12-23 11:40:04.000000,1.11.9,288.0,Data Version Control | Git for Data & Models.,557.0,511.0,200.0,30,https://pypi.org/project/dvc,2020-12-23 11:40:04.000000,46.0,60287.0,85656.0,https://anaconda.org/conda-forge/dvc,2020-12-23 13:52:17.036000,430569.0,True,2,15941.0,,dvc,,,,,,,,,,,,,dvc,dvc,,,,,,,\n100,Prefect,PrefectHQ/prefect,prefect,conda-forge/prefect,,data-pipelines,,https://github.com/PrefectHQ/prefect,https://github.com/PrefectHQ/prefect,Apache-2.0,2018-06-29 21:59:26.000000,2020-12-31 16:02:05.000000,2020-12-31 16:02:04.000000,478.0,229.0,1272.0,5624.0,12974.0,2020-12-29 15:11:29.000000,0.14.1,78.0,The easiest way to automate your data.,220.0,218.0,169.0,30,https://pypi.org/project/prefect,2020-12-29 15:11:29.000000,2.0,28972.0,31857.0,https://anaconda.org/conda-forge/prefect,2020-12-29 17:05:17.119000,63486.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n101,SpeechRecognition,Uberi/speech_recognition,SpeechRecognition,conda-forge/speechrecognition,,audio,,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54.000000,2020-12-23 09:51:35.000000,2019-07-02 17:29:47.000000,1841.0,197.0,269.0,5325.0,360.0,2017-12-05 14:05:14.000000,3.8.1,52.0,\"Speech recognition module for Python, supporting several engines and APIs, online and offline.\",7367.0,6279.0,41.0,30,https://pypi.org/project/SpeechRecognition,2017-12-05 13:58:29.000000,1088.0,112442.0,114194.0,https://anaconda.org/conda-forge/speechrecognition,2020-10-10 22:21:01.100000,92900.0,False,1,,,,,,,,,,,,,,,,,,,,,,,,\n102,imbalanced-learn,scikit-learn-contrib/imbalanced-learn,imbalanced-learn,conda-forge/imbalanced-learn,,others,['sklearn'],https://github.com/scikit-learn-contrib/imbalanced-learn,https://github.com/scikit-learn-contrib/imbalanced-learn,MIT,2014-08-16 05:08:26.000000,2020-12-23 12:15:04.000000,2020-11-03 21:43:11.000000,1024.0,47.0,401.0,4922.0,701.0,2020-06-09 10:45:32.000000,0.7.0,26.0,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,3928.0,3648.0,51.0,30,https://pypi.org/project/imbalanced-learn,2020-06-09 10:39:03.000000,280.0,794905.0,797563.0,https://anaconda.org/conda-forge/imbalanced-learn,2020-06-14 14:47:57.352000,103697.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n103,CuPy,cupy/cupy,cupy,conda-forge/cupy,,gpu-utilities,,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000000,2021-01-01 01:45:29.000000,2020-12-28 09:09:38.000000,430.0,366.0,852.0,4751.0,20171.0,2020-12-25 05:33:27.000000,8.3.0,85.0,A NumPy-compatible array library accelerated by CUDA.,822.0,630.0,253.0,30,https://pypi.org/project/cupy,2020-12-25 03:21:57.000000,192.0,8857.0,31599.0,https://anaconda.org/conda-forge/cupy,2020-12-30 14:18:34.736000,325636.0,True,1,3897.0,,,cupy/cupy,https://hub.docker.com/r/cupy/cupy,2020-12-28 09:14:47.523050,6.0,47571.0,,,,,,,,,,,,,,,,\n104,MLxtend,rasbt/mlxtend,mlxtend,conda-forge/mlxtend,,others,['sklearn'],https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16.000000,2020-12-26 00:44:28.000000,2020-12-26 00:44:27.000000,683.0,99.0,260.0,3268.0,1143.0,2020-11-26 04:18:15.000000,0.18.0,46.0,A library of extension and helper modules for Python's data analysis and machine learning libraries.,2384.0,2289.0,79.0,30,https://pypi.org/project/mlxtend,2020-11-26 04:18:15.000000,95.0,242453.0,245968.0,https://anaconda.org/conda-forge/mlxtend,2020-11-26 05:32:00.667000,147639.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n105,bqplot,bqplot/bqplot,bqplot,conda-forge/bqplot,,data-viz,['jupyter'],https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18.000000,2020-12-18 14:59:43.000000,2020-12-18 07:40:15.000000,404.0,186.0,313.0,2971.0,3200.0,2020-11-05 14:39:24.000000,0.12.19,87.0,Plotting library for IPython/Jupyter notebooks.,1267.0,1145.0,51.0,30,https://pypi.org/project/bqplot,2020-11-05 14:39:24.000000,112.0,14092.0,151776.0,https://anaconda.org/conda-forge/bqplot,2020-10-12 22:00:13.153000,445657.0,True,2,,,,,,,,,bqplot,https://www.npmjs.com/package/bqplot,2020-10-12 19:58:11.526000,10.0,129726.0,,,,,,,,,,,\n106,torchtext,pytorch/text,torchtext,,,nlp,['pytorch'],https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000000,2020-12-31 12:36:28.000000,2020-12-29 20:05:59.000000,584.0,261.0,311.0,2600.0,697.0,2020-12-10 17:03:55.000000,0.8.1,12.0,Data loaders and abstractions for text and NLP.,4113.0,3431.0,102.0,30,https://pypi.org/project/torchtext,2020-12-10 16:28:00.000000,682.0,87587.0,87587.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n107,mrjob,Yelp/mrjob,mrjob,conda-forge/mrjob,,data-pipelines,,https://github.com/Yelp/mrjob,https://github.com/Yelp/mrjob,Apache-2.0,2010-10-13 18:35:21.000000,2020-12-24 22:44:29.424000,2020-11-16 22:20:52.000000,590.0,199.0,1089.0,2524.0,8622.0,2020-09-17 22:26:01.000000,0.7.4,60.0,Run MapReduce jobs on Hadoop or Amazon Web Services.,754.0,642.0,142.0,30,https://pypi.org/project/mrjob,2020-09-17 22:26:01.000000,112.0,109036.0,114898.0,https://anaconda.org/conda-forge/mrjob,2020-12-24 22:44:29.424000,304865.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n108,GeoPandas,geopandas/geopandas,geopandas,conda-forge/geopandas,,geospatial-data,['pandas'],https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000000,2020-12-31 19:47:47.000000,2020-12-31 19:47:46.000000,528.0,294.0,653.0,2414.0,1309.0,2020-07-15 17:59:00.000000,0.8.1,34.0,Python tools for geographic data.,7875.0,6709.0,129.0,30,https://pypi.org/project/geopandas,2020-06-24 13:38:40.000000,1166.0,406599.0,420308.0,https://anaconda.org/conda-forge/geopandas,2020-07-16 18:56:42.068000,794290.0,True,2,832.0,,,,,,,,,,,,,,,,,,,,,,,\n109,pyodbc,mkleehammer/pyodbc,pyodbc,conda-forge/pyodbc,,db-clients,,https://github.com/mkleehammer/pyodbc,https://github.com/mkleehammer/pyodbc,MIT,2008-10-03 15:19:37.000000,2020-11-26 00:31:04.000000,2020-10-26 13:28:37.000000,407.0,215.0,510.0,1952.0,347.0,2020-02-08 18:09:57.000000,4.0.30,48.0,Python ODBC bridge.,3262.0,,36.0,30,https://pypi.org/project/pyodbc,2020-02-10 15:43:28.000000,3262.0,4169039.0,4178695.0,https://anaconda.org/conda-forge/pyodbc,2020-10-10 10:56:30.285000,395930.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n110,smart-open,RaRe-Technologies/smart_open,smart-open,,,data-loading,,https://github.com/RaRe-Technologies/smart_open,https://github.com/RaRe-Technologies/smart_open,MIT,2015-01-02 13:05:52.000000,2020-12-31 05:01:02.000000,2020-12-31 03:15:01.000000,266.0,69.0,233.0,1875.0,846.0,2020-12-30 07:19:09.000000,4.1.0,45.0,\"Utils for streaming large files (S3, HDFS, gzip, bz2...).\",640.0,,70.0,30,https://pypi.org/project/smart-open,2020-12-30 07:17:50.000000,640.0,7651548.0,7651548.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n111,mysqlclient,PyMySQL/mysqlclient,mysqlclient,conda-forge/mysqlclient,,db-clients,,https://github.com/PyMySQL/mysqlclient,https://github.com/PyMySQL/mysqlclient,GPL-2.0,2014-04-28 05:09:06.000000,2021-01-01 11:47:45.000000,2021-01-01 11:46:52.000000,305.0,6.0,245.0,1844.0,981.0,2020-12-10 04:03:30.000000,2.0.2,30.0,MySQL database connector for Python (with Python 3 support).,13536.0,,64.0,30,https://pypi.org/project/mysqlclient,2020-12-10 04:03:30.000000,13536.0,1778527.0,1780740.0,https://anaconda.org/conda-forge/mysqlclient,2020-10-13 12:28:49.922000,57101.0,False,2,5161.0,,,,,,,,,,,,,,,,,,,,,,,\n112,python-magic,ahupp/python-magic,python-magic,conda-forge/python-magic,,data-loading,,https://github.com/ahupp/python-magic,https://github.com/ahupp/python-magic,MIT,2010-03-31 22:40:33.000000,2020-12-24 22:42:00.639000,2020-12-11 19:57:07.000000,212.0,28.0,125.0,1795.0,244.0,2020-05-06 02:30:25.000000,0.4.18,18.0,A python wrapper for libmagic.,16280.0,11148.0,47.0,30,https://pypi.org/project/python-magic,2020-05-06 02:30:25.000000,5132.0,1437746.0,1439373.0,https://anaconda.org/conda-forge/python-magic,2020-12-24 22:42:00.639000,73227.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n113,opencv-python,skvark/opencv-python,opencv-python,,,image,,https://github.com/skvark/opencv-python,https://github.com/skvark/opencv-python,MIT,2016-04-08 13:36:40.000000,2020-12-28 18:40:21.000000,2020-12-28 18:40:12.000000,301.0,19.0,358.0,1656.0,749.0,2020-11-03 19:09:10.000000,46,46.0,\"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..\",12560.0,,27.0,30,https://pypi.org/project/opencv-python,2020-11-02 16:36:07.000000,12560.0,2187810.0,2187810.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n114,Motor,mongodb/motor,motor,conda-forge/motor,,db-clients,,https://github.com/mongodb/motor,https://github.com/mongodb/motor,Apache-2.0,2013-01-11 21:34:44.000000,2020-12-08 14:16:53.000000,2020-09-24 23:47:34.000000,140.0,1.0,,1615.0,1609.0,2020-09-24 23:26:10.000000,2.3.0,34.0,Motor - the async Python driver for MongoDB and Tornado or asyncio.,5187.0,3397.0,28.0,30,https://pypi.org/project/motor,2020-09-24 23:19:56.000000,1790.0,127640.0,128045.0,https://anaconda.org/conda-forge/motor,2020-11-20 20:00:39.143000,10146.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n115,Rasterio,mapbox/rasterio,rasterio,conda-forge/rasterio,,geospatial-data,,https://github.com/mapbox/rasterio,https://github.com/mapbox/rasterio,BSD-3-Clause,2013-11-04 16:36:27.000000,2020-12-30 20:52:11.000000,2020-12-15 00:21:46.000000,387.0,135.0,1183.0,1398.0,3239.0,2020-10-21 01:56:29.000000,1.1.8,117.0,Rasterio reads and writes geospatial raster datasets.,3395.0,2545.0,109.0,30,https://pypi.org/project/rasterio,2020-12-13 18:35:39.000000,850.0,151065.0,165325.0,https://anaconda.org/conda-forge/rasterio,2020-10-30 14:13:05.008000,826552.0,True,2,702.0,,,,,,,,,,,,,,,,,,,,,,,\n116,TF Addons,tensorflow/addons,tensorflow-addons,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17.000000,2021-01-01 02:08:26.000000,2021-01-01 02:08:24.000000,390.0,157.0,607.0,1138.0,1312.0,2020-12-23 19:42:08.000000,0.12.0,24.0,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,1889.0,1871.0,144.0,30,https://pypi.org/project/tensorflow-addons,2020-12-23 19:42:08.000000,18.0,277579.0,277579.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n117,Wand,emcconville/wand,wand,,,image,,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000000,2020-12-08 02:05:17.000000,2020-12-08 02:05:10.000000,183.0,13.0,319.0,1041.0,1678.0,2020-11-29 20:47:13.000000,0.6.5,47.0,The ctypes-based simple ImageMagick binding for Python.,4144.0,2974.0,94.0,30,https://pypi.org/project/wand,2020-11-29 20:40:49.000000,1170.0,128267.0,128466.0,,,,True,2,5199.0,,,,,,,,,,,,,,,,,,,,,,,\n118,Fiona,Toblerity/Fiona,fiona,conda-forge/fiona,,geospatial-data,,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00.000000,2020-12-02 19:46:20.000000,2020-11-30 07:11:40.000000,165.0,69.0,546.0,765.0,1093.0,2020-11-17 18:32:17.000000,1.8.18,96.0,Fiona reads and writes geographic data files.,5901.0,4713.0,65.0,30,https://pypi.org/project/fiona,2020-11-17 18:32:17.000000,1188.0,479532.0,507389.0,https://anaconda.org/conda-forge/fiona,2020-11-17 20:48:12.542000,1615758.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n119,Nilearn,nilearn/nilearn,nilearn,conda-forge/nilearn,,medical-data,['sklearn'],https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000000,2020-12-31 09:23:15.000000,2020-12-28 17:42:06.000000,371.0,378.0,1053.0,689.0,9277.0,2020-11-12 11:44:49.000000,0.7.0,35.0,Machine learning for NeuroImaging in Python.,1136.0,834.0,158.0,30,https://pypi.org/project/nilearn,2020-11-12 11:44:49.000000,302.0,11053.0,12385.0,https://anaconda.org/conda-forge/nilearn,2020-11-12 13:26:03.600000,74599.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n120,You-Get,soimort/you-get,you-get,,,web-scraping,,https://github.com/soimort/you-get,https://github.com/soimort/you-get,MIT,2012-08-20 15:53:36.000000,2020-12-30 23:40:37.000000,2020-12-27 16:22:25.000000,7865.0,349.0,,38367.0,2352.0,2020-12-26 18:24:57.000000,0.4.1500,159.0,Dumb downloader that scrapes the web.,18.0,,223.0,29,https://pypi.org/project/you-get,2020-12-26 18:22:17.000000,18.0,23820.0,27688.0,,,,True,2,328792.0,,you-get,,,,,,,,,,,,,,,,,,,,,\n121,Face Recognition,ageitgey/face_recognition,face_recognition,,,image,['pytorch'],https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39.000000,2020-12-19 11:44:26.000000,2020-09-26 15:32:59.000000,10493.0,554.0,526.0,37934.0,211.0,2018-08-21 18:34:21.000000,1.2.3,21.0,The world's simplest facial recognition api for Python and the command line.,406.0,,45.0,29,https://pypi.org/project/face_recognition,2018-08-21 18:34:21.000000,406.0,31797.0,31806.0,,,,True,2,435.0,,,,,,,,,,,,,,,,,,,,,,,\n122,fastText,facebookresearch/fastText,fasttext,conda-forge/fasttext,,nlp,,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000000,2020-10-31 15:50:36.000000,2020-07-18 00:20:40.000000,4198.0,400.0,588.0,22084.0,379.0,2020-04-28 09:54:50.000000,0.9.2,35.0,Library for fast text representation and classification.,1584.0,1394.0,58.0,29,https://pypi.org/project/fasttext,2020-04-28 09:54:50.000000,190.0,117875.0,118310.0,https://anaconda.org/conda-forge/fasttext,2020-10-12 14:55:45.199000,16979.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n123,Magenta,magenta/magenta,magenta,,,audio,['tensorflow'],https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40.000000,2020-12-31 05:02:53.000000,2020-12-01 17:12:29.000000,3283.0,286.0,533.0,16126.0,1370.0,2020-11-12 19:17:18.000000,2.1.3,66.0,Magenta: Music and Art Generation with Machine Intelligence.,288.0,253.0,142.0,29,https://pypi.org/project/magenta,2020-11-12 19:17:18.000000,35.0,5352.0,5352.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n124,Faiss,facebookresearch/faiss,pymilvus,conda-forge/faiss,,nn-search,,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000000,2020-12-30 01:34:02.000000,2020-12-29 21:46:54.000000,2052.0,98.0,1211.0,12009.0,417.0,2020-12-21 05:24:03.000000,1.6.5,42.0,A library for efficient similarity search and clustering of dense vectors.,297.0,291.0,71.0,29,https://pypi.org/project/pymilvus,2020-10-16 13:11:09.000000,6.0,5730.0,8151.0,https://anaconda.org/conda-forge/faiss,2020-12-12 16:36:49.740000,19371.0,True,1,,,,,,,,,,,,,,,1.0,,,,,,,,,\n125,newspaper3k,codelucas/newspaper,newspaper3k,conda-forge/newspaper3k,,web-scraping,,https://github.com/codelucas/newspaper,https://github.com/codelucas/newspaper,MIT,2013-11-25 09:50:50.000000,2020-12-24 21:15:01.000000,2020-09-02 06:54:25.000000,1736.0,427.0,242.0,10554.0,651.0,2018-09-28 04:58:18.000000,0.2.8,18.0,\"News, full-text, and article metadata extraction in Python 3. Advanced docs:.\",2591.0,2147.0,103.0,29,https://pypi.org/project/newspaper3k,2018-09-28 04:58:18.000000,444.0,27005.0,27926.0,https://anaconda.org/conda-forge/newspaper3k,2020-10-14 01:55:00.844000,35021.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n126,Turi Create,apple/turicreate,turicreate,,,ml-frameworks,,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04.000000,2020-11-18 17:14:31.000000,2020-10-13 23:52:18.000000,1057.0,465.0,1240.0,10070.0,1565.0,2020-09-30 22:51:40.000000,6.4.1,31.0,Turi Create simplifies the development of custom machine learning models.,252.0,218.0,81.0,29,https://pypi.org/project/turicreate,2020-09-30 22:51:40.000000,34.0,13015.0,13109.0,,,,True,3,3483.0,,,,,,,,,,,,,,,,,,,,,,,\n127,AllenNLP,allenai/allennlp,allennlp,,,nlp,['pytorch'],https://github.com/allenai/allennlp,https://github.com/allenai/allennlp,Apache-2.0,2017-05-15 15:52:41.000000,2021-01-01 10:46:02.000000,2020-12-23 18:51:13.000000,1979.0,106.0,2115.0,9528.0,,2020-12-15 22:10:16.000000,1.3.0,154.0,\"An open-source NLP research library, built on PyTorch.\",1579.0,1345.0,231.0,29,https://pypi.org/project/allennlp,2020-11-17 18:37:28.000000,234.0,21353.0,21353.0,,,,True,2,36.0,,,,,,,,,,,,,,,,,,,,,,,\n128,Lime,marcotcr/lime,lime,conda-forge/lime,,interpretability,,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10.000000,2020-12-18 17:16:38.000000,2020-12-18 17:16:31.000000,1349.0,37.0,434.0,8277.0,504.0,2020-04-03 22:05:03.000000,0.2.0.0,37.0,Lime: Explaining the predictions of any machine learning classifier.,1094.0,966.0,56.0,29,https://pypi.org/project/lime,2020-04-03 22:04:32.000000,128.0,180019.0,181267.0,https://anaconda.org/conda-forge/lime,2020-06-28 01:02:41.538000,61189.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n129,Annoy,spotify/annoy,annoy,,,nn-search,,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40.000000,2020-12-25 08:13:07.000000,2020-12-03 18:21:18.000000,854.0,25.0,265.0,7975.0,785.0,2020-09-18 16:07:59.000000,1.17.0,43.0,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,1740.0,1380.0,68.0,29,https://pypi.org/project/annoy,2020-09-18 16:07:59.000000,360.0,226625.0,226625.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n130,Pattern,clips/pattern,pattern,conda-forge/pattern,,web-scraping,,https://github.com/clips/pattern,https://github.com/clips/pattern,BSD-3-Clause,2011-05-03 15:29:01.000000,2020-12-03 13:45:30.000000,2020-04-25 12:40:40.000000,1499.0,159.0,75.0,7734.0,1434.0,,,2.0,\"Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis..\",1288.0,1022.0,30.0,29,https://pypi.org/project/pattern,2018-08-18 15:11:17.000000,266.0,67501.0,67868.0,https://anaconda.org/conda-forge/pattern,2020-05-05 12:38:53.775000,5508.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n131,fuzzywuzzy,seatgeek/fuzzywuzzy,fuzzywuzzy,conda-forge/fuzzywuzzy,,nlp,,https://github.com/seatgeek/fuzzywuzzy,https://github.com/seatgeek/fuzzywuzzy,GPL-2.0,2011-07-08 19:32:34.000000,2020-12-19 18:34:54.000000,2020-02-13 22:13:43.000000,792.0,84.0,95.0,7709.0,379.0,2020-02-13 22:14:12.000000,0.18.0,27.0,Fuzzy String Matching in Python.,10694.0,7488.0,67.0,29,https://pypi.org/project/fuzzywuzzy,2020-02-13 21:06:25.000000,3206.0,2665628.0,2670692.0,https://anaconda.org/conda-forge/fuzzywuzzy,2020-11-18 12:59:01.409000,273481.0,False,2,,,,,,,,,,,,,,,,,,,,,,,,\n132,TextBlob,sloria/TextBlob,textblob,conda-forge/textblob,,nlp,,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18.000000,2020-12-25 13:19:46.000000,2020-12-25 13:18:24.000000,945.0,69.0,150.0,7469.0,535.0,2019-02-24 23:03:17.000000,0.15.3,55.0,\"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..\",12078.0,9586.0,33.0,29,https://pypi.org/project/textblob,2019-02-24 23:03:17.000000,2492.0,266392.0,268426.0,https://anaconda.org/conda-forge/textblob,2019-02-24 23:32:55.233000,107761.0,True,2,88.0,,,,,,,,,,,,,,,,,,,,,,,\n133,MoviePy,Zulko/moviepy,moviepy,conda-forge/moviepy,,image,,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000000,2020-12-22 11:53:27.000000,2020-11-25 17:36:42.000000,1021.0,337.0,629.0,7179.0,938.0,2020-05-07 16:29:35.000000,1.0.3,84.0,Video editing with Python.,6655.0,5525.0,132.0,29,https://pypi.org/project/moviepy,2020-10-05 00:26:29.000000,1130.0,137729.0,139413.0,https://anaconda.org/conda-forge/moviepy,2020-02-23 19:57:49.975000,70759.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n134,glfw,glfw/glfw,glfw,conda-forge/glfw,,image,,https://github.com/glfw/glfw,https://github.com/glfw/glfw,Zlib,2013-04-18 15:24:53.000000,2020-12-31 05:36:59.000000,2020-12-14 11:27:57.000000,2544.0,414.0,985.0,7077.0,4200.0,2020-10-04 13:37:52.000000,2.0.0,37.0,\"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.\",214.0,,164.0,29,https://pypi.org/project/glfw,2020-10-04 13:37:52.000000,214.0,14904.0,46535.0,https://anaconda.org/conda-forge/glfw,2020-03-20 11:09:31.058000,20919.0,False,2,2150572.0,,,,,,,,,,,,,,,,,,,,,,,\n135,Albumentations,albumentations-team/albumentations,albumentations,conda-forge/albumentations,,image,['pytorch'],https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000000,2020-12-30 16:36:53.000000,2020-12-30 16:36:51.000000,886.0,148.0,230.0,6936.0,614.0,2020-11-29 14:30:07.000000,0.5.2,44.0,Fast image augmentation library and easy to use wrapper around other libraries. Documentation:..,2461.0,2397.0,72.0,29,https://pypi.org/project/albumentations,2020-11-29 14:30:07.000000,64.0,63921.0,64633.0,https://anaconda.org/conda-forge/albumentations,2020-11-29 15:51:47.610000,13535.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n136,pandas-profiling,pandas-profiling/pandas-profiling,pandas-profiling,conda-forge/pandas-profiling,,data-viz,\"['jupyter', 'pandas']\",https://github.com/pandas-profiling/pandas-profiling,https://github.com/pandas-profiling/pandas-profiling,MIT,2016-01-09 23:47:55.000000,2020-12-28 16:33:59.000000,2020-12-27 20:07:34.000000,966.0,52.0,352.0,6512.0,726.0,2020-09-03 10:11:24.000000,2.9.0,24.0,Create HTML profiling reports from pandas DataFrame objects.,2915.0,2755.0,62.0,29,https://pypi.org/project/pandas-profiling,2020-09-03 10:11:24.000000,160.0,231792.0,233567.0,https://anaconda.org/conda-forge/pandas-profiling,2020-09-03 13:03:52.072000,94086.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n137,Datasets,huggingface/datasets,datasets,,,web-scraping,,https://github.com/huggingface/datasets,https://github.com/huggingface/datasets,Apache-2.0,2020-03-26 09:23:22.000000,2021-01-01 06:42:03.000000,2020-12-30 17:22:43.000000,616.0,262.0,295.0,5973.0,1191.0,2020-11-19 18:33:56.000000,1.1.3,11.0,\"The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools.\",248.0,230.0,196.0,29,https://pypi.org/project/datasets,2020-11-19 18:07:51.000000,18.0,22318.0,22318.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n138,tensorpack,tensorpack/tensorpack,tensorpack,,,ml-frameworks,['tensorflow'],https://github.com/tensorpack/tensorpack,https://github.com/tensorpack/tensorpack,Apache-2.0,2015-12-25 23:08:44.000000,2020-12-24 00:24:32.000000,2020-11-01 03:52:10.000000,1724.0,11.0,1293.0,5870.0,2921.0,2020-04-24 19:01:06.000000,0.10.1,36.0,\"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.\",727.0,651.0,55.0,29,https://pypi.org/project/tensorpack,2020-04-24 19:01:06.000000,76.0,75516.0,75518.0,,,,True,3,95.0,,,,,,,,,,,,,,1.0,,,,,,,,,\n139,Modin,modin-project/modin,modin,,,data-containers,['pandas'],https://github.com/modin-project/modin,https://github.com/modin-project/modin,Apache-2.0,2018-06-21 21:35:05.000000,2020-12-30 18:52:43.000000,2020-12-29 19:39:25.000000,376.0,391.0,1046.0,5561.0,1216.0,2020-12-23 09:46:05.000000,0.8.3,35.0,Modin: Speed up your Pandas workflows by changing a single line of code.,284.0,275.0,64.0,29,https://pypi.org/project/modin,2020-11-10 02:44:02.000000,9.0,59337.0,65839.0,,,,True,2,195081.0,,,,,,,,,,,,,,1.0,,,,,,,,,\n140,Autograd,HIPS/autograd,autograd,conda-forge/autograd,,others,,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23.000000,2020-12-28 18:04:28.000000,2019-11-18 14:32:40.000000,712.0,161.0,216.0,5074.0,1375.0,2017-08-24 17:00:41.000000,1.1.13,24.0,Efficiently computes derivatives of numpy code.,1699.0,1355.0,51.0,29,https://pypi.org/project/autograd,2019-07-25 16:21:07.000000,344.0,346318.0,349132.0,https://anaconda.org/conda-forge/autograd,2019-07-25 18:29:55.493000,149155.0,False,1,,,,,,,,,,,,,,,1.0,,,,,,,,,\n141,Pydub,jiaaro/pydub,pydub,conda-forge/pydub,,audio,,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38.000000,2020-12-14 17:09:25.000000,2020-12-14 17:09:24.000000,669.0,164.0,232.0,5008.0,722.0,2020-06-03 15:23:56.000000,0.24.1,66.0,Manipulate audio with a simple and easy high level interface.,6808.0,5454.0,79.0,29,https://pypi.org/project/pydub,2020-06-03 15:23:56.000000,1354.0,132188.0,132663.0,https://anaconda.org/conda-forge/pydub,2019-02-02 16:23:09.348000,11891.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n142,TinyDB,msiemens/tinydb,tinydb,conda-forge/tinydb,,data-containers,,https://github.com/msiemens/tinydb,https://github.com/msiemens/tinydb,MIT,2013-07-12 23:31:13.000000,2020-12-30 14:14:51.000000,2020-12-30 14:14:47.000000,355.0,14.0,237.0,3922.0,596.0,2020-11-14 21:02:31.000000,4.3.0,58.0,TinyDB is a lightweight document oriented database optimized for your happiness :).,1118.0,,62.0,29,https://pypi.org/project/tinydb,2020-11-14 21:02:29.000000,1118.0,133584.0,135346.0,https://anaconda.org/conda-forge/tinydb,2020-11-14 22:52:17.151000,96931.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n143,yfinance,ranaroussi/yfinance,yfinance,ranaroussi/yfinance,,financial-data,,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000000,2021-01-01 08:04:57.000000,2020-09-25 12:47:40.000000,977.0,297.0,168.0,3759.0,243.0,2020-10-05 12:19:44.000000,0.1.55,20.0,Yahoo! Finance market data downloader (+faster Pandas Datareader).,2456.0,2430.0,25.0,29,https://pypi.org/project/yfinance,2020-10-05 12:19:44.000000,26.0,108544.0,110228.0,https://anaconda.org/ranaroussi/yfinance,2019-12-27 21:30:44.606000,28636.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n144,kaggle,Kaggle/kaggle-api,kaggle,conda-forge/kaggle,,ml-experiments,,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000000,2020-12-03 05:16:08.000000,2020-11-30 21:43:14.000000,760.0,161.0,106.0,3743.0,137.0,2020-11-30 13:37:18.000000,1.5.10,47.0,Official Kaggle API.,4717.0,4153.0,35.0,29,https://pypi.org/project/kaggle,2020-11-30 13:37:18.000000,564.0,273877.0,275828.0,https://anaconda.org/conda-forge/kaggle,2020-11-30 16:56:31.822000,39034.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n145,Tesseract,madmaze/pytesseract,pytesseract,conda-forge/pytesseract,,ocr,,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000000,2020-12-22 12:18:21.000000,2020-12-22 12:18:21.000000,503.0,7.0,237.0,3338.0,353.0,2020-12-15 05:24:52.000000,0.3.7,24.0,Python-tesseract is an optical character recognition (OCR) tool for python.,1428.0,,35.0,29,https://pypi.org/project/pytesseract,2020-12-15 05:24:52.000000,1428.0,435121.0,437178.0,https://anaconda.org/conda-forge/pytesseract,2020-11-20 10:05:14.874000,37026.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n146,sacred,IDSIA/sacred,sacred,,,ml-experiments,,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29.000000,2020-12-17 22:23:01.000000,2020-12-15 10:47:54.000000,314.0,92.0,391.0,3241.0,1297.0,2020-12-14 15:21:05.000000,0.8.2,27.0,\"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.\",909.0,755.0,90.0,29,https://pypi.org/project/sacred,2020-12-14 15:21:05.000000,154.0,12805.0,12805.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n147,Koalas,databricks/koalas,koalas,conda-forge/koalas,,data-containers,\"['spark', 'pandas']\",https://github.com/databricks/koalas,https://github.com/databricks/koalas,Apache-2.0,2019-01-03 21:46:54.000000,2020-12-30 18:20:21.000000,2020-12-30 18:20:19.000000,292.0,84.0,420.0,2559.0,1423.0,2020-12-11 21:10:40.000000,1.5.0,42.0,Koalas: pandas API on Apache Spark.,69.0,68.0,47.0,29,https://pypi.org/project/koalas,2020-12-11 21:10:40.000000,1.0,901384.0,905111.0,https://anaconda.org/conda-forge/koalas,2020-12-11 23:19:38.184000,73658.0,True,2,996.0,,,,,,,,,,,,,,,,,,,,,,,\n148,PyQtGraph,pyqtgraph/pyqtgraph,pyqtgraph,conda-forge/pyqtgraph,,data-viz,,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21.000000,2020-12-26 03:39:56.000000,2020-12-25 05:45:02.000000,793.0,284.0,430.0,2251.0,2306.0,2020-12-20 02:41:29.000000,pyqtgraph-0.11.1,12.0,Fast data visualization and GUI tools for scientific / engineering applications.,890.0,,177.0,29,https://pypi.org/project/pyqtgraph,2020-12-20 02:43:22.000000,890.0,32486.0,35738.0,https://anaconda.org/conda-forge/pyqtgraph,2020-12-20 05:06:42.442000,156124.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n149,Keras Tuner,keras-team/keras-tuner,keras-tuner,,,hyperopt,['tensorflow'],https://github.com/keras-team/keras-tuner,https://github.com/keras-team/keras-tuner,Apache-2.0,2019-06-06 22:38:21.000000,2020-12-23 19:28:06.000000,2020-12-09 20:19:05.000000,253.0,145.0,132.0,2192.0,787.0,2020-11-20 19:13:23.000000,1.0.2,5.0,Hyperparameter tuning for humans.,336.0,334.0,28.0,29,https://pypi.org/project/keras-tuner,2020-11-20 19:00:59.000000,2.0,650427.0,650427.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n150,confluent-kafka-python,confluentinc/confluent-kafka-python,confluent-kafka,,,db-clients,,https://github.com/confluentinc/confluent-kafka-python,https://github.com/confluentinc/confluent-kafka-python,Apache-2.0,2016-04-14 07:40:41.000000,2020-12-17 16:57:48.000000,2020-11-24 15:38:23.000000,550.0,230.0,469.0,2090.0,628.0,2020-07-22 08:23:51.000000,1.5.0,20.0,Confluent's Kafka Python Client.,2248.0,1946.0,66.0,29,https://pypi.org/project/confluent-kafka,2020-07-22 07:50:57.000000,302.0,998056.0,998056.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n151,ipyparallel,ipython/ipyparallel,ipyparallel,conda-forge/ipyparallel,,distributed-ml,['jupyter'],https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,BSD-3-Clause,2015-04-09 07:43:55.000000,2020-12-28 21:43:25.000000,2020-08-24 09:09:27.000000,723.0,139.0,107.0,1843.0,1817.0,2020-05-05 18:42:38.000000,6.3.0,21.0,Interactive Parallel Computing in Python.,1833.0,1343.0,94.0,29,https://pypi.org/project/ipyparallel,2020-05-05 18:42:38.000000,490.0,66759.0,73056.0,https://anaconda.org/conda-forge/ipyparallel,2020-12-14 23:13:00.768000,358934.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n152,pandas-datareader,pydata/pandas-datareader,pandas-datareader,conda-forge/pandas-datareader,,data-loading,['pandas'],https://github.com/pydata/pandas-datareader,https://github.com/pydata/pandas-datareader,BSD-3-Clause,2015-01-15 00:34:19.000000,2020-12-31 12:02:02.000000,2020-12-31 11:58:23.000000,489.0,69.0,368.0,1770.0,764.0,2020-07-10 10:04:14.000000,0.9.0,21.0,Extract data from a wide range of Internet sources into a pandas DataFrame.,8654.0,7248.0,77.0,29,https://pypi.org/project/pandas-datareader,2020-07-10 10:04:14.000000,1406.0,115937.0,117789.0,https://anaconda.org/conda-forge/pandas-datareader,2019-11-20 10:38:42.074000,83368.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n153,HoloViews,holoviz/holoviews,holoviews,conda-forge/holoviews,,data-viz,['jupyter'],https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000000,2020-12-31 13:30:40.000000,2020-12-31 13:30:39.000000,299.0,674.0,1814.0,1769.0,10110.0,2020-12-27 23:53:28.000000,1.14.1,60.0,\"With Holoviews, your data visualizes itself.\",170.0,,100.0,29,https://pypi.org/project/holoviews,2020-12-27 23:53:28.000000,170.0,111488.0,124885.0,https://anaconda.org/conda-forge/holoviews,2020-12-28 13:23:01.410000,392438.0,True,2,,,,,,,,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,2020-05-24 13:49:54.205000,,6390.0,,,,,,,,,,,\n154,Lifelines,CamDavidsonPilon/lifelines,lifelines,conda-forge/lifelines,,medical-data,,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42.000000,2020-12-30 21:30:32.000000,2020-12-30 21:30:31.000000,403.0,183.0,584.0,1518.0,2071.0,2020-12-09 21:14:01.000000,0.25.7,152.0,Survival analysis in Python.,594.0,468.0,89.0,29,https://pypi.org/project/lifelines,2020-12-09 21:14:01.000000,126.0,106511.0,108690.0,https://anaconda.org/conda-forge/lifelines,2020-12-10 02:47:14.864000,119848.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n155,Geocoder,DenisCarriere/geocoder,geocoder,conda-forge/geocoder,,geospatial-data,,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21.000000,2020-12-30 04:09:42.000000,2018-10-12 15:53:05.000000,250.0,64.0,215.0,1316.0,1251.0,2018-04-04 12:34:51.000000,1.38.1,108.0,Python Geocoder.,3481.0,2905.0,74.0,29,https://pypi.org/project/geocoder,2018-04-04 12:34:51.000000,576.0,242207.0,244036.0,https://anaconda.org/conda-forge/geocoder,2019-06-27 16:40:50.469000,85970.0,False,2,,,,,,,,,,,,,,,,,,geocoder,,,,,,\n156,torchaudio,pytorch/audio,torchaudio,,,audio,['pytorch'],https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000000,2021-01-01 04:11:30.000000,2020-12-30 20:28:28.000000,262.0,152.0,233.0,1179.0,634.0,2020-12-10 17:02:20.000000,0.7.2,11.0,\"Data manipulation and transformation for audio signal processing, powered by PyTorch.\",1028.0,1019.0,84.0,29,https://pypi.org/project/torchaudio,2020-10-27 16:14:57.000000,9.0,65989.0,65989.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n157,PyTables,PyTables/PyTables,tables,conda-forge/pytables,,data-containers,,https://github.com/PyTables/PyTables,https://github.com/PyTables/PyTables,BSD-2-Clause,2011-06-03 19:44:46.000000,2020-12-31 09:10:37.000000,2020-12-31 09:10:30.000000,180.0,153.0,439.0,997.0,3882.0,2019-10-30 19:33:37.000000,3.6.1,25.0,A Python package to manage extremely large amounts of data.,3754.0,,96.0,29,https://pypi.org/project/tables,2019-10-30 19:33:37.000000,3754.0,487274.0,526751.0,https://anaconda.org/conda-forge/pytables,2020-10-21 22:20:27.234000,2092218.0,True,2,125.0,,,,,,,,,,,,,,,,,,,,,,,\n158,py2neo,technige/py2neo,py2neo,conda-forge/py2neo,,db-clients,,https://github.com/technige/py2neo,https://github.com/technige/py2neo,Apache-2.0,2011-07-03 10:01:07.000000,2020-12-23 10:35:38.000000,2020-12-21 21:32:51.000000,196.0,25.0,689.0,956.0,2735.0,2020-11-21 09:50:58.000000,2020.1.1,102.0,Py2neo is a comprehensive toolkit for working with Neo4j from within Python applications or from the command line.,1114.0,,31.0,29,https://pypi.org/project/py2neo,2020-11-21 09:51:22.000000,1114.0,76891.0,77624.0,https://anaconda.org/conda-forge/py2neo,2019-03-17 09:26:49.366000,31555.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n159,Graphviz,xflr6/graphviz,graphviz,,,data-viz,,https://github.com/xflr6/graphviz,https://github.com/xflr6/graphviz,MIT,2014-01-12 17:49:29.000000,2020-12-25 12:50:52.000000,2020-12-25 12:50:44.000000,137.0,5.0,94.0,888.0,443.0,2020-10-07 09:06:41.000000,0.14.2,47.0,Simple Python interface for Graphviz.,20803.0,16421.0,15.0,29,https://pypi.org/project/graphviz,2020-12-24 16:17:24.000000,4382.0,2503726.0,2503726.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n160,TensorFlow Transform,tensorflow/transform,tensorflow-transform,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53.000000,2020-12-16 21:35:23.000000,2020-12-16 21:11:41.000000,161.0,32.0,114.0,844.0,557.0,2020-12-16 21:35:23.000000,0.26.0,33.0,Input pipeline framework.,467.0,383.0,27.0,29,https://pypi.org/project/tensorflow-transform,2020-12-16 21:35:23.000000,84.0,6639369.0,6639369.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n161,snakemake,snakemake/snakemake,snakemake,bioconda/snakemake,,ml-experiments,,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867000,2020-12-28 20:46:57.000000,2020-12-21 21:28:10.000000,178.0,306.0,201.0,790.0,3938.0,2020-12-21 22:01:57.000000,5.31.1,158.0,\"This is the development home of the workflow management system Snakemake. For general information, see.\",1003.0,715.0,193.0,29,https://pypi.org/project/snakemake,2020-12-21 22:02:41.000000,288.0,10257.0,14460.0,https://anaconda.org/bioconda/snakemake,2020-12-22 11:10:44.475000,264790.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n162,NIPYPE,nipy/nipype,nipype,conda-forge/nipype,,medical-data,,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000000,2020-12-20 20:52:16.000000,2020-12-08 17:16:40.000000,439.0,312.0,871.0,540.0,14049.0,2020-09-17 18:44:32.000000,1.5.1,54.0,Workflows and interfaces for neuroimaging packages.,666.0,474.0,212.0,29,https://pypi.org/project/nipype,2020-08-16 18:30:16.000000,192.0,13311.0,19700.0,https://anaconda.org/conda-forge/nipype,2020-11-28 17:44:51.813000,345018.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n163,NiBabel,nipy/nibabel,nibabel,conda-forge/nibabel,,medical-data,,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30.000000,2020-12-21 21:15:21.000000,2020-12-16 00:08:18.000000,209.0,109.0,280.0,382.0,4933.0,2020-11-28 22:19:50.000000,3.2.1,32.0,Python package to access a cacophony of neuro-imaging file formats.,4656.0,3392.0,89.0,29,https://pypi.org/project/nibabel,2020-11-28 22:18:23.000000,1264.0,50592.0,55707.0,https://anaconda.org/conda-forge/nibabel,2020-11-29 03:40:05.178000,286476.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n164,pandas-gbq,pydata/pandas-gbq,pandas-gbq,conda-forge/pandas-gbq,,db-clients,['pandas'],https://github.com/pydata/pandas-gbq,https://github.com/pydata/pandas-gbq,BSD-3-Clause,2017-02-08 13:07:19.000000,2020-12-22 15:29:13.000000,2020-12-17 21:26:00.000000,83.0,32.0,155.0,233.0,217.0,2020-11-10 17:16:31.000000,0.14.1,26.0,Pandas Google BigQuery.,2130.0,1698.0,29.0,29,https://pypi.org/project/pandas-gbq,2020-11-10 17:13:26.000000,432.0,6855766.0,6869220.0,https://anaconda.org/conda-forge/pandas-gbq,2020-11-11 15:55:18.257000,618683.0,True,3,188.0,,,,,,,,,,,,,,,,,,,,,,,\n165,soupsieve,facelessuser/soupsieve,soupsieve,conda-forge/soupsieve,,web-scraping,,https://github.com/facelessuser/soupsieve,https://github.com/facelessuser/soupsieve,MIT,2018-12-07 07:42:56.000000,2020-12-14 18:10:01.000000,2020-12-14 18:08:31.000000,18.0,12.0,77.0,85.0,268.0,2020-12-10 23:42:29.000000,2.1.0,36.0,A modern CSS selector implementation for BeautifulSoup.,96418.0,92174.0,8.0,29,https://pypi.org/project/soupsieve,2020-12-10 23:43:13.000000,4244.0,8991191.0,9075146.0,https://anaconda.org/conda-forge/soupsieve,2020-08-17 16:10:44.009000,2014934.0,False,2,,,,,,,,,,,,,,,,,,,,,,,,\n166,spleeter,deezer/spleeter,spleeter,conda-forge/spleeter,,audio,['tensorflow'],https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000000,2020-12-18 16:31:25.000000,2020-12-07 12:44:51.000000,1532.0,90.0,391.0,15155.0,358.0,2020-10-23 12:15:02.000000,2.0.1,26.0,Deezer source separation library including pretrained models.,122.0,122.0,17.0,28,https://pypi.org/project/spleeter,2020-10-23 12:15:02.000000,,5529.0,66866.0,https://anaconda.org/conda-forge/spleeter,2020-06-30 14:33:43.220000,40179.0,True,2,877025.0,,,,,,,,,,,,,,,,,,,,,,,\n167,PyTorch Geometric,rusty1s/pytorch_geometric,torch-geometric,,,graph,['pytorch'],https://github.com/rusty1s/pytorch_geometric,https://github.com/rusty1s/pytorch_geometric,MIT,2017-10-06 16:03:03.000000,2021-01-01 12:08:03.000000,2021-01-01 12:07:59.000000,1645.0,631.0,1053.0,9830.0,4047.0,2020-12-02 14:57:09.000000,1.6.3,25.0,Geometric Deep Learning Extension Library for PyTorch.,24.0,,137.0,28,https://pypi.org/project/torch-geometric,2020-11-27 07:18:41.000000,24.0,12526.0,12526.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n168,Sonnet,deepmind/sonnet,dm-sonnet,conda-forge/sonnet,,ml-frameworks,['tensorflow'],https://github.com/deepmind/sonnet,https://github.com/deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35.000000,2020-11-30 02:35:15.000000,2020-10-08 10:01:11.000000,1242.0,15.0,135.0,8683.0,545.0,2020-03-27 10:36:19.000000,2.0.0,27.0,TensorFlow-based neural network library.,548.0,466.0,48.0,28,https://pypi.org/project/dm-sonnet,2020-03-27 10:36:10.000000,82.0,47218.0,47702.0,https://anaconda.org/conda-forge/sonnet,2020-11-14 18:13:23.843000,6780.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n169,TPOT,EpistasisLab/tpot,tpot,conda-forge/tpot,,hyperopt,['sklearn'],https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40.000000,2020-12-31 21:15:35.000000,2020-12-14 15:04:13.000000,1347.0,185.0,574.0,7715.0,2341.0,2020-12-14 15:07:26.000000,0.11.6.post3,59.0,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,846.0,766.0,107.0,28,https://pypi.org/project/tpot,2020-12-14 15:07:56.000000,80.0,75197.0,77115.0,https://anaconda.org/conda-forge/tpot,2020-12-14 22:49:13.925000,99776.0,False,2,,,,,,,,,,,,,,,,,,,,,,,,\n170,Pyro,pyro-ppl/pyro,pyro-ppl,,,probabilistics,['pytorch'],https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000000,2020-12-31 20:12:30.000000,2020-12-28 02:48:09.000000,777.0,130.0,677.0,6660.0,2138.0,2020-11-17 23:30:42.000000,1.5.1,24.0,Deep universal probabilistic programming with Python and PyTorch.,385.0,349.0,103.0,28,https://pypi.org/project/pyro-ppl,2020-11-17 23:22:46.000000,36.0,9568.0,9568.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n171,Records,kennethreitz42/records,records,conda-forge/records,,db-clients,,https://github.com/kennethreitz42/records,https://github.com/kennethreitz42/records,ISC,2014-12-24 15:20:23.000000,2020-12-22 07:29:21.000000,2020-12-22 07:29:21.000000,531.0,55.0,81.0,6477.0,325.0,2019-02-21 13:34:41.000000,0.5.3,10.0,SQL for Humans.,1006.0,706.0,37.0,28,https://pypi.org/project/records,2019-02-21 13:34:41.000000,300.0,186405.0,186770.0,https://anaconda.org/conda-forge/records,2018-01-15 04:48:02.550000,16444.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n172,featuretools,alteryx/featuretools,featuretools,conda-forge/featuretools,,hyperopt,,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17.000000,2020-12-31 21:27:46.000000,2020-12-31 21:20:19.000000,680.0,105.0,388.0,5301.0,569.0,2020-12-31 21:26:39.000000,0.23.0,63.0,An open source python library for automated feature engineering.,704.0,634.0,49.0,28,https://pypi.org/project/featuretools,2020-12-31 21:27:46.000000,70.0,67009.0,68706.0,https://anaconda.org/conda-forge/featuretools,2020-11-30 22:07:05.978000,42448.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n173,faust,robinhood/faust,faust,,,data-pipelines,,https://github.com/robinhood/faust,https://github.com/robinhood/faust,BSD-3-Clause,2017-03-08 18:36:11.000000,2020-11-17 10:35:41.000000,2020-10-09 12:59:42.000000,424.0,225.0,219.0,5177.0,4137.0,2020-02-25 22:57:18.000000,1.10.4,46.0,Python Stream Processing.,595.0,567.0,90.0,28,https://pypi.org/project/faust,2020-02-25 22:57:18.000000,28.0,70108.0,70108.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n174,UMAP,lmcinnes/umap,umap-learn,,,data-viz,,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17.000000,2020-12-23 03:48:10.000000,2020-12-16 18:17:21.000000,466.0,201.0,207.0,4356.0,1270.0,2020-07-02 15:56:06.000000,0.4.6,33.0,Uniform Manifold Approximation and Projection.,226.0,,67.0,28,https://pypi.org/project/umap-learn,2020-11-26 16:29:14.000000,226.0,122161.0,122161.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n175,Tokenizers,huggingface/tokenizers,tokenizers,conda-forge/tokenizers,,nlp,,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000000,2020-12-29 15:39:06.000000,2020-12-15 16:50:40.000000,300.0,80.0,259.0,4114.0,1414.0,2020-11-10 04:37:50.000000,0.9.4,57.0,Fast State-of-the-Art Tokenizers optimized for Research and Production.,20.0,20.0,39.0,28,https://pypi.org/project/tokenizers,2020-12-08 18:59:15.000000,0.0,912781.0,915371.0,https://anaconda.org/conda-forge/tokenizers,2020-11-19 06:02:47.112000,15545.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n176,DEAP,deap/deap,deap,conda-forge/deap,,distributed-ml,,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39.000000,2020-12-25 17:33:19.000000,2020-12-25 17:33:18.000000,829.0,166.0,218.0,4021.0,2147.0,2020-01-21 01:18:06.000000,1.3.1,16.0,Distributed Evolutionary Algorithms in Python.,1986.0,1504.0,67.0,28,https://pypi.org/project/deap,2020-01-21 01:18:06.000000,482.0,126159.0,128088.0,https://anaconda.org/conda-forge/deap,2020-10-12 23:58:35.330000,106123.0,False,2,,,,,,,,,,,,,,,,,,,,,,,,\n177,PyOD,yzhao062/pyod,pyod,,,others,,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04.000000,2020-12-23 15:20:44.000000,2020-12-23 15:20:10.000000,812.0,100.0,79.0,3971.0,1236.0,2020-12-23 02:28:48.000000,0.8.5,63.0,A Python Toolbox for Scalable Outlier Detection (Anomaly Detection).,447.0,441.0,20.0,28,https://pypi.org/project/pyod,2020-12-23 02:28:48.000000,6.0,93490.0,93490.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n178,dataset,pudo/dataset,dataset,,,db-clients,,https://github.com/pudo/dataset,https://github.com/pudo/dataset,MIT,2013-04-01 14:57:55.000000,2020-12-30 21:35:43.000000,2020-12-30 21:33:06.000000,260.0,11.0,236.0,3954.0,662.0,2020-12-30 21:35:43.000000,1.4.3,48.0,\"Easy-to-use data handling for SQL data stores with support for implicit table creation, bulk loading, and transactions.\",2772.0,1744.0,71.0,28,https://pypi.org/project/dataset,2020-12-30 21:35:43.000000,1028.0,43457.0,43457.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n179,Kornia,kornia/kornia,kornia,,,image,['pytorch'],https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000000,2020-12-31 18:02:53.000000,2020-12-28 14:29:17.000000,345.0,103.0,236.0,3458.0,1468.0,2020-10-20 19:31:49.000000,0.4.1,12.0,Open Source Differentiable Computer Vision Library for PyTorch.,218.0,218.0,78.0,28,https://pypi.org/project/kornia,2020-10-20 19:31:49.000000,0.0,15267.0,15267.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n180,Blaze,blaze/blaze,blaze,conda-forge/blaze,,data-containers,,https://github.com/blaze/blaze,https://github.com/blaze/blaze,BSD-3-Clause,2012-10-26 14:25:22.000000,2020-02-01 19:33:09.000000,2019-08-15 21:14:59.000000,373.0,262.0,500.0,2917.0,7496.0,2016-07-19 20:40:03.000000,0.11.0,14.0,NumPy and Pandas interface to Big Data.,7855.0,7367.0,64.0,28,https://pypi.org/project/blaze,2016-05-06 21:19:21.000000,488.0,10751.0,15321.0,https://anaconda.org/conda-forge/blaze,2018-07-15 22:16:17.685000,187381.0,False,2,,,,,,,,,,,,,,,,,,,,,,,,\n181,Dedupe,dedupeio/dedupe,dedupe,,,nlp,,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36.000000,2020-12-24 19:43:22.000000,2020-11-09 02:38:13.000000,402.0,51.0,568.0,2853.0,2792.0,2020-09-02 00:17:19.000000,2.0.6,157.0,\"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.\",251.0,173.0,55.0,28,https://pypi.org/project/dedupe,2020-09-06 01:50:45.000000,78.0,55394.0,55394.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n182,PyCaret,pycaret/pycaret,pycaret,,,ml-experiments,,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000000,2020-12-30 20:31:32.000000,2020-12-22 22:14:34.000000,575.0,147.0,522.0,2778.0,1513.0,2020-12-22 22:10:30.000000,2.2.3,68.0,\"An open-source, low-code machine learning library in Python.\",564.0,564.0,38.0,28,https://pypi.org/project/pycaret,2020-12-22 22:10:30.000000,0.0,26582.0,26639.0,,,,True,2,345.0,,,,,,,,,,,,,,,,,,,,,,,\n183,phonenumbers,daviddrysdale/python-phonenumbers,phonenumbers,conda-forge/phonenumbers,,nlp,,https://github.com/daviddrysdale/python-phonenumbers,https://github.com/daviddrysdale/python-phonenumbers,Apache-2.0,2011-04-21 03:06:38.000000,2020-12-22 15:32:16.000000,2020-12-22 15:32:10.000000,324.0,3.0,110.0,2596.0,,2020-12-04 08:41:00.000000,8.12.15,166.0,Python port of Google's libphonenumber.,2280.0,,22.0,28,https://pypi.org/project/phonenumbers,2020-12-16 08:06:19.000000,2280.0,790367.0,797018.0,https://anaconda.org/conda-forge/phonenumbers,2019-08-04 21:19:59.322000,365852.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n184,VisPy,vispy/vispy,vispy,conda-forge/vispy,,data-viz,['jupyter'],https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22.000000,2020-12-22 03:47:57.000000,2020-11-28 02:03:40.000000,535.0,354.0,778.0,2544.0,6394.0,2020-12-14 15:55:00.000000,0.6.6,16.0,High-performance interactive 2D/3D data visualization library.,560.0,438.0,144.0,28,https://pypi.org/project/vispy,2020-11-28 02:55:50.000000,122.0,13498.0,16552.0,https://anaconda.org/conda-forge/vispy,2020-11-28 13:05:36.454000,116641.0,True,2,,,,,,,,,vispy,https://www.npmjs.com/package/vispy,2020-03-15 14:39:41.516000,,64.0,,,,,,,,,,,\n185,datashader,holoviz/datashader,datashader,conda-forge/datashader,,data-viz,,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000000,2020-12-29 01:24:25.000000,2020-12-29 01:22:39.000000,307.0,144.0,315.0,2377.0,1277.0,2020-08-16 19:52:29.000000,0.11.1,22.0,Quickly and accurately render even the largest data.,613.0,543.0,43.0,28,https://pypi.org/project/datashader,2020-12-23 17:43:10.000000,70.0,13208.0,16594.0,https://anaconda.org/conda-forge/datashader,2020-08-17 11:43:03.087000,128693.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n186,dbt,fishtown-analytics/dbt,dbt,conda-forge/dbt,,data-pipelines,,https://github.com/fishtown-analytics/dbt,https://github.com/fishtown-analytics/dbt,Apache-2.0,2016-03-10 02:38:00.000000,2020-12-31 18:54:01.000000,2020-12-29 23:07:35.000000,466.0,262.0,1414.0,2309.0,2481.0,2020-10-13 21:51:53.000000,0.18.1,140.0,dbt (data build tool) enables data analysts and engineers to transform their data using the same practices that..,179.0,161.0,127.0,28,https://pypi.org/project/dbt,2020-12-29 23:08:04.000000,18.0,93640.0,96584.0,https://anaconda.org/conda-forge/dbt,2020-05-14 13:55:32.153000,147225.0,True,2,,,dbt,,,,,,,,,,,,,,,,,,,,,\n187,sklearn-pandas,scikit-learn-contrib/sklearn-pandas,sklearn-pandas,,,data-containers,\"['sklearn', 'pandas']\",https://github.com/scikit-learn-contrib/sklearn-pandas,https://github.com/scikit-learn-contrib/sklearn-pandas,Zlib,2013-04-22 22:55:20.000000,2020-12-03 06:11:35.000000,2020-12-03 06:11:34.000000,377.0,40.0,116.0,2298.0,267.0,2020-10-01 20:56:27.000000,2.0.3,24.0,Pandas integration with sklearn.,1811.0,1589.0,35.0,28,https://pypi.org/project/sklearn-pandas,2020-11-07 02:30:27.000000,222.0,114273.0,114273.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,,\n188,eli5,TeamHG-Memex/eli5,eli5,conda-forge/eli5,,interpretability,,https://github.com/TeamHG-Memex/eli5,https://github.com/TeamHG-Memex/eli5,MIT,2016-09-15 01:04:57.000000,2020-12-09 18:22:22.000000,2020-01-22 07:39:36.000000,282.0,125.0,108.0,2241.0,1198.0,2019-08-29 06:19:32.000000,0.10.1,27.0,A library for debugging/inspecting machine learning classifiers and explaining their predictions.,909.0,813.0,14.0,28,https://pypi.org/project/eli5,2019-08-29 06:19:32.000000,96.0,262732.0,264660.0,https://anaconda.org/conda-forge/eli5,2020-06-15 13:11:13.408000,84859.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n189,NMSLIB,nmslib/nmslib,nmslib,conda-forge/nmslib,,nn-search,,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06.000000,2020-12-30 15:48:07.333000,2020-12-29 21:51:16.000000,332.0,44.0,310.0,2239.0,1472.0,2020-12-30 06:19:03.000000,2.0.8,23.0,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,354.0,302.0,44.0,28,https://pypi.org/project/nmslib,2020-12-30 06:19:03.000000,52.0,45348.0,46290.0,https://anaconda.org/conda-forge/nmslib,2020-12-30 15:48:07.333000,8484.0,True,2,,,,,,,,,,,,,,,1.0,,,,,,,,,\n190,GPyTorch,cornellius-gp/gpytorch,gpytorch,,,probabilistics,['pytorch'],https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000000,2020-12-31 21:49:48.000000,2020-12-18 00:08:52.000000,308.0,188.0,618.0,2229.0,3202.0,2020-11-30 21:36:11.000000,1.3.0,24.0,A highly efficient and modular implementation of Gaussian Processes in PyTorch.,192.0,184.0,62.0,28,https://pypi.org/project/gpytorch,2020-11-30 21:38:19.000000,8.0,32582.0,32582.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n191,implicit,benfred/implicit,implicit,conda-forge/implicit,,recommender-systems,,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000000,2020-11-24 06:44:37.378000,2020-11-15 19:47:23.000000,452.0,77.0,255.0,2203.0,300.0,2020-09-15 22:01:38.000000,0.4.4,34.0,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,354.0,332.0,28.0,28,https://pypi.org/project/implicit,2020-09-15 22:01:38.000000,22.0,94432.0,99313.0,https://anaconda.org/conda-forge/implicit,2020-11-24 06:44:37.378000,175721.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n192,AzureML SDK,Azure/MachineLearningNotebooks,azureml-sdk,,,ml-experiments,,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000000,2020-12-12 00:49:34.000000,2020-12-12 00:49:33.000000,1464.0,53.0,844.0,2055.0,1081.0,2020-12-07 18:38:50.000000,1.19.0,65.0,Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft.,60.0,,52.0,28,https://pypi.org/project/azureml-sdk,2020-12-07 18:38:50.000000,60.0,296972.0,296986.0,,,,True,2,382.0,,,,,,,,,,,,,,,,,,,,,,,\n193,ImageHash,JohannesBuchner/imagehash,ImageHash,conda-forge/imagehash,,image,,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48.000000,2020-11-27 16:31:23.000000,2020-11-27 16:31:13.000000,243.0,17.0,69.0,1789.0,182.0,2020-11-19 14:54:24.000000,4.2.0,17.0,A Python Perceptual Image Hashing Module.,2313.0,1781.0,17.0,28,https://pypi.org/project/ImageHash,2020-11-19 14:54:24.000000,532.0,370651.0,372554.0,https://anaconda.org/conda-forge/imagehash,2020-11-19 18:20:49.964000,95190.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n194,Ibis,ibis-project/ibis,ibis-framework,conda-forge/ibis-framework,,db-clients,,https://github.com/ibis-project/ibis,https://github.com/ibis-project/ibis,Apache-2.0,2015-04-17 20:43:46.000000,2020-12-31 20:22:15.000000,2020-12-30 14:46:02.000000,243.0,515.0,940.0,1498.0,1324.0,2020-11-11 16:01:20.000000,1.4.0,24.0,\"A pandas-like deferred expression system, with first-class SQL support.\",179.0,131.0,71.0,28,https://pypi.org/project/ibis-framework,2020-11-11 16:01:20.000000,48.0,61724.0,64516.0,https://anaconda.org/conda-forge/ibis-framework,2020-11-13 03:18:14.785000,159187.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n195,pyLDAvis,bmabey/pyLDAvis,pyldavis,conda-forge/pyldavis,,interpretability,['jupyter'],https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03.000000,2020-12-03 09:31:49.000000,2020-12-02 18:10:12.000000,288.0,91.0,56.0,1372.0,218.0,2018-06-05 18:55:56.000000,2.1.2,17.0,Python library for interactive topic model visualization. Port of the R LDAvis package.,1739.0,1640.0,31.0,28,https://pypi.org/project/pyldavis,2018-06-05 18:55:56.000000,99.0,65989.0,66651.0,https://anaconda.org/conda-forge/pyldavis,2018-06-22 21:16:15.741000,20540.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n196,Flax,google/flax,flax,,,ml-frameworks,['jax'],https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000000,2020-12-30 15:28:54.000000,2020-12-30 12:28:40.000000,150.0,114.0,104.0,1323.0,1406.0,2020-12-08 15:13:37.000000,0.3.0,9.0,Flax is a neural network ecosystem for JAX that is designed for flexibility.,81.0,78.0,68.0,28,https://pypi.org/project/flax,2020-12-08 15:14:03.000000,3.0,67012.0,67013.0,,,,True,3,18.0,,,,,,,,,,,,,,,,,,,,,,,\n197,Bottleneck,pydata/bottleneck,Bottleneck,conda-forge/bottleneck,,data-containers,,https://github.com/pydata/bottleneck,https://github.com/pydata/bottleneck,BSD-2-Clause,2010-11-27 23:21:22.000000,2020-11-25 00:09:27.000000,2020-11-25 00:09:25.000000,61.0,22.0,177.0,566.0,1226.0,2020-02-21 06:22:16.000000,1.3.2,21.0,Fast NumPy array functions written in C.,20634.0,17742.0,20.0,28,https://pypi.org/project/Bottleneck,2020-02-21 06:22:16.000000,2892.0,196621.0,220820.0,https://anaconda.org/conda-forge/bottleneck,2020-10-12 10:23:18.707000,1355152.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n198,pyproj,pyproj4/pyproj,pyproj,conda-forge/pyproj,,geospatial-data,,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000000,2020-12-20 02:59:03.000000,2020-12-20 02:57:05.000000,146.0,6.0,372.0,561.0,1096.0,2020-11-05 13:39:29.000000,3.0.0.post1,34.0,Python interface to PROJ (cartographic projections and coordinate transformations library).,10446.0,7984.0,39.0,28,https://pypi.org/project/pyproj,2020-11-05 14:28:45.000000,2462.0,1134636.0,1164748.0,https://anaconda.org/conda-forge/pyproj,2020-11-06 22:55:31.654000,1836852.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n199,inflect,jaraco/inflect,inflect,conda-forge/inflect,,nlp,,https://github.com/jaraco/inflect,https://github.com/jaraco/inflect,MIT,2010-06-20 13:43:13.000000,2020-12-18 02:56:48.000000,2020-11-15 19:27:28.000000,57.0,13.0,58.0,463.0,590.0,2020-11-15 17:41:03.000000,5.0.2,30.0,\"Correctly generate plurals, ordinals, indefinite articles; convert numbers to words.\",1388.0,,25.0,28,https://pypi.org/project/inflect,2020-11-15 17:40:58.000000,1388.0,929403.0,932114.0,https://anaconda.org/conda-forge/inflect,2020-11-15 19:06:38.533000,122034.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n200,minio,minio/minio-py,minio,conda-forge/minio,,db-clients,,https://github.com/minio/minio-py,https://github.com/minio/minio-py,Apache-2.0,2015-06-17 03:51:15.000000,2020-12-10 17:13:57.000000,2020-12-10 17:13:56.000000,169.0,9.0,367.0,386.0,1005.0,2020-12-08 20:45:54.000000,7.0.0,84.0,MinIO Client SDK for Python.,1537.0,1193.0,88.0,28,https://pypi.org/project/minio,2020-12-08 20:28:35.000000,344.0,171408.0,172229.0,https://anaconda.org/conda-forge/minio,2020-12-08 21:39:26.963000,15616.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n201,DIPY,dipy/dipy,dipy,conda-forge/dipy,,medical-data,,https://github.com/dipy/dipy,https://github.com/dipy/dipy,BSD-3-Clause,2010-02-06 11:43:08.000000,2020-12-17 18:09:13.000000,2020-12-10 16:48:07.000000,313.0,156.0,571.0,373.0,11365.0,2020-11-05 17:35:53.000000,1.3.0,21.0,\"DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal..\",407.0,313.0,118.0,28,https://pypi.org/project/dipy,2020-11-05 17:35:53.000000,94.0,8305.0,11347.0,https://anaconda.org/conda-forge/dipy,2020-11-14 18:28:50.683000,170403.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n202,Cython BLIS,explosion/cython-blis,blis,conda-forge/cython-blis,,others,,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16.000000,2020-12-07 11:23:01.451000,2020-12-07 07:21:11.000000,22.0,6.0,15.0,157.0,524.0,2020-12-07 08:56:44.000000,0.7.4,35.0,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,7923.0,7533.0,9.0,28,https://pypi.org/project/blis,2020-12-07 08:56:44.000000,390.0,825136.0,842383.0,https://anaconda.org/conda-forge/cython-blis,2020-12-07 11:23:01.451000,379450.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n203,CNTK,microsoft/CNTK,cntk,,,ml-frameworks,,https://github.com/microsoft/CNTK,https://github.com/microsoft/CNTK,MIT,2015-11-26 09:52:06.000000,2020-12-09 22:21:57.000000,2020-03-31 15:55:14.000000,4421.0,805.0,2513.0,16950.0,16116.0,2019-04-26 14:13:32.000000,2.7,32.0,\"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.\",17.0,,265.0,27,https://pypi.org/project/cntk,2020-12-09 22:21:57.000000,17.0,1415.0,1641.0,,,,True,3,13580.0,,,,,,,,,,,,,,,,,,,,,,,\n204,pyspider,binux/pyspider,pyspider,,,web-scraping,,https://github.com/binux/pyspider,https://github.com/binux/pyspider,Apache-2.0,2014-02-21 19:18:47.000000,2020-10-22 04:00:13.000000,2020-08-02 17:34:20.000000,3558.0,276.0,543.0,14792.0,1181.0,2018-04-18 04:25:22.000000,0.3.10,17.0,A Powerful Spider(Web Crawler) System in Python.,313.0,283.0,62.0,27,https://pypi.org/project/pyspider,2018-04-18 04:17:18.000000,30.0,1792.0,1792.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n205,Dopamine,google/dopamine,dopamine-rl,,,reinforcement-learning,['tensorflow'],https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36.000000,2020-11-24 20:59:46.000000,2020-11-24 20:59:42.000000,1225.0,72.0,68.0,9252.0,210.0,2020-10-16 22:05:03.000000,3.1.8,34.0,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,31.0,,13.0,27,https://pypi.org/project/dopamine-rl,2020-10-16 22:05:03.000000,31.0,73397.0,73397.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n206,NNI,microsoft/nni,nni,,,hyperopt,,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44.000000,2021-01-01 11:53:17.000000,2020-12-21 04:33:04.000000,1118.0,237.0,852.0,8611.0,1844.0,2020-10-22 13:31:52.000000,1.9,34.0,\"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..\",92.0,76.0,111.0,27,https://pypi.org/project/nni,2020-10-22 13:15:53.000000,16.0,1954.0,1954.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n207,AutoKeras,keras-team/autokeras,autokeras,,,hyperopt,['tensorflow'],https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20.000000,2020-12-21 17:00:14.000000,2020-12-11 07:59:44.000000,1241.0,59.0,656.0,7666.0,1228.0,2020-11-30 02:43:50.000000,1.0.12,46.0,AutoML library for deep learning.,148.0,141.0,125.0,27,https://pypi.org/project/autokeras,2020-11-30 02:43:50.000000,7.0,6107.0,6107.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n208,pretrainedmodels,Cadene/pretrained-models.pytorch,pretrainedmodels,,,pytorch-utils,['pytorch'],https://github.com/Cadene/pretrained-models.pytorch,https://github.com/Cadene/pretrained-models.pytorch,BSD-3-Clause,2017-04-09 15:54:23.000000,2020-06-08 16:06:59.000000,2020-04-16 08:02:22.000000,1606.0,85.0,86.0,7574.0,154.0,2018-10-29 08:18:45.000000,0.7.4,16.0,\"Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.\",905.0,801.0,22.0,27,https://pypi.org/project/pretrainedmodels,2018-10-29 08:18:45.000000,104.0,26039.0,26039.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n209,Google Images Download,hardikvasa/google-images-download,google_images_download,,,web-scraping,,https://github.com/hardikvasa/google-images-download,https://github.com/hardikvasa/google-images-download,MIT,2015-03-28 16:50:28.000000,2020-12-06 13:01:13.000000,2019-05-21 18:24:10.000000,1699.0,103.0,159.0,7330.0,156.0,2019-05-14 00:35:40.000000,2.7.1,39.0,Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!.,214.0,,38.0,27,https://pypi.org/project/google_images_download,2019-05-14 00:35:40.000000,214.0,19607.0,19607.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,,\n210,tensorboardX,lanpa/tensorboardX,tensorboardX,conda-forge/tensorboardx,,ml-experiments,,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19.000000,2020-10-14 17:46:25.000000,2020-07-05 17:29:00.000000,771.0,72.0,341.0,6730.0,460.0,2020-07-05 17:54:10.000000,2.0,12.0,\"tensorboard for pytorch (and chainer, mxnet, numpy, ...).\",10860.0,9526.0,64.0,27,https://pypi.org/project/tensorboardX,2019-12-31 14:04:21.000000,1334.0,294024.0,300962.0,https://anaconda.org/conda-forge/tensorboardx,2020-07-06 20:33:55.729000,249586.0,True,2,287.0,,,,,,,,,,,,,,-2.0,,,,,,,,,\n211,dgl,dmlc/dgl,dgl,,,graph,,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000000,2021-01-01 06:05:23.000000,2020-12-31 15:33:21.000000,1275.0,227.0,654.0,6396.0,1456.0,2020-11-30 07:39:12.000000,0.5.3,334.0,\"Python package built to ease deep learning on graph, on top of existing DL frameworks.\",30.0,,95.0,27,https://pypi.org/project/dgl,2020-12-30 08:42:57.000000,30.0,14919.0,14919.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n212,OpenNMT,OpenNMT/OpenNMT-py,OpenNMT-py,,,nlp,['pytorch'],https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000000,2020-12-30 17:15:25.000000,2020-12-09 16:36:52.000000,1742.0,94.0,1111.0,4723.0,2525.0,2020-11-10 18:09:08.000000,2.0.0rc2,26.0,Open Source Neural Machine Translation in PyTorch.,68.0,64.0,164.0,27,https://pypi.org/project/OpenNMT-py,2020-11-10 18:10:02.000000,4.0,3748.0,3748.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n213,csvkit,wireservice/csvkit,csvkit,conda-forge/csvkit,,data-loading,,https://github.com/wireservice/csvkit,https://github.com/wireservice/csvkit,MIT,2011-04-01 03:00:30.000000,2020-10-30 01:59:33.000000,2020-10-30 01:59:29.000000,535.0,56.0,743.0,4438.0,1693.0,2020-03-03 03:00:28.000000,1.0.5,33.0,\"A suite of utilities for converting to and working with CSV, the king of tabular file formats.\",1497.0,795.0,91.0,27,https://pypi.org/project/csvkit,2020-03-03 03:00:28.000000,702.0,26595.0,27566.0,https://anaconda.org/conda-forge/csvkit,2019-05-28 12:30:50.171000,44682.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n214,GluonCV,dmlc/gluon-cv,gluoncv,,,image,['mxnet'],https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21.000000,2020-12-31 12:22:30.000000,2020-12-19 05:52:40.000000,1020.0,371.0,371.0,4430.0,818.0,2020-12-02 23:04:17.000000,0.9.0,950.0,Gluon CV Toolkit.,412.0,382.0,106.0,27,https://pypi.org/project/gluoncv,2020-12-31 09:01:59.000000,30.0,51397.0,51397.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n215,snorkel,snorkel-team/snorkel,snorkel,conda-forge/snorkel,,data-loading,,https://github.com/snorkel-team/snorkel,https://github.com/snorkel-team/snorkel,Apache-2.0,2016-02-26 05:52:45.000000,2020-10-02 14:30:46.000000,2020-09-05 21:24:32.000000,705.0,29.0,911.0,4376.0,2646.0,2020-08-09 03:07:36.000000,0.9.6,17.0,A system for quickly generating training data with weak supervision.,65.0,61.0,62.0,27,https://pypi.org/project/snorkel,2020-04-07 01:35:21.000000,4.0,67816.0,68653.0,https://anaconda.org/conda-forge/snorkel,2020-04-10 13:08:54.445000,14902.0,True,3,480.0,,,,,,,,,,,,,,,,,,,,,,,\n216,skorch,skorch-dev/skorch,skorch,conda-forge/skorch,,ml-frameworks,\"['pytorch', 'sklearn']\",https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000000,2020-12-29 14:55:37.000000,2020-12-25 23:01:18.000000,271.0,48.0,317.0,3701.0,935.0,2020-08-30 10:46:40.000000,0.9.0,12.0,A scikit-learn compatible neural network library that wraps PyTorch.,260.0,247.0,39.0,27,https://pypi.org/project/skorch,2020-08-30 10:43:37.000000,13.0,7515.0,13129.0,https://anaconda.org/conda-forge/skorch,2020-09-19 04:12:07.576000,157193.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n217,OCRmyPDF,jbarlow83/OCRmyPDF,ocrmypdf,,,ocr,,https://github.com/jbarlow83/OCRmyPDF,https://github.com/jbarlow83/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000000,2021-01-01 09:39:33.000000,2021-01-01 09:39:24.000000,413.0,85.0,555.0,3612.0,2811.0,2020-12-30 10:45:13.000000,11.4.3,155.0,\"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.\",112.0,100.0,48.0,27,https://pypi.org/project/ocrmypdf,2020-12-30 10:45:13.000000,12.0,14182.0,14182.0,,,,True,2,,,ocrmypdf,,,,,,,,,,,,,ocrmypdf,,,,,,,,\n218,imutils,jrosebr1/imutils,imutils,conda-forge/imutils,,image,,https://github.com/jrosebr1/imutils,https://github.com/jrosebr1/imutils,MIT,2015-01-11 20:05:39.000000,2020-12-24 22:54:44.000000,2019-08-18 11:50:57.000000,851.0,123.0,75.0,3450.0,137.0,2019-08-18 11:56:06.000000,0.5.3,28.0,\"A series of convenience functions to make basic image processing operations such as translation, rotation, resizing,..\",12390.0,11194.0,19.0,27,https://pypi.org/project/imutils,2019-08-18 11:56:06.000000,1196.0,173104.0,174854.0,https://anaconda.org/conda-forge/imutils,2020-11-01 14:10:29.531000,33253.0,False,2,,,,,,,,,,,,,,,,,,,,,,,,\n219,lightfm,lyst/lightfm,lightfm,conda-forge/lightfm,,recommender-systems,,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00.000000,2020-12-07 16:07:27.944000,2020-11-27 19:54:37.000000,561.0,127.0,273.0,3440.0,404.0,2020-11-27 19:48:30.000000,1.16,14.0,\"A Python implementation of LightFM, a hybrid recommendation algorithm.\",395.0,367.0,42.0,27,https://pypi.org/project/lightfm,2020-11-27 19:55:08.000000,28.0,96937.0,98905.0,https://anaconda.org/conda-forge/lightfm,2020-12-07 16:07:27.944000,70855.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n220,InterpretML,interpretml/interpret,interpret,,,interpretability,['jupyter'],https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000000,2020-12-31 01:57:40.000000,2020-12-28 09:59:07.000000,410.0,50.0,118.0,3352.0,1403.0,2020-10-20 01:41:37.000000,0.2.2,32.0,Fit interpretable models. Explain blackbox machine learning.,60.0,58.0,21.0,27,https://pypi.org/project/interpret,2020-10-20 01:35:45.000000,2.0,12979.0,12979.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n221,Kedro,quantumblacklabs/kedro,kedro,,,data-pipelines,,https://github.com/quantumblacklabs/kedro,https://github.com/quantumblacklabs/kedro,Apache-2.0,2019-04-18 10:29:56.000000,2020-12-30 14:36:33.000000,2020-12-17 16:05:09.000000,379.0,81.0,330.0,3262.0,1096.0,2020-12-17 13:31:56.000000,0.17.0,24.0,\"A Python framework for creating reproducible, maintainable and modular data science code.\",359.0,343.0,89.0,27,https://pypi.org/project/kedro,2020-12-17 13:31:56.000000,16.0,53976.0,53976.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n222,Ignite,pytorch/ignite,pytorch-ignite,pytorch/ignite,,ml-frameworks,['pytorch'],https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000000,2021-01-01 10:32:48.000000,2020-12-30 19:43:48.000000,403.0,98.0,583.0,3199.0,841.0,2020-09-20 20:00:28.000000,0.4.2,422.0,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,737.0,675.0,117.0,27,https://pypi.org/project/pytorch-ignite,2020-12-30 00:44:20.000000,62.0,32563.0,34188.0,https://anaconda.org/pytorch/ignite,2020-09-20 20:00:11.134000,50389.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n223,dyNET,clab/dynet,dyNET,,,ml-frameworks,,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21.000000,2020-10-22 07:16:17.000000,2020-10-22 07:16:12.000000,692.0,255.0,660.0,3159.0,3260.0,2020-10-21 14:31:01.000000,2.1.2,24.0,DyNet: The Dynamic Neural Network Toolkit.,202.0,164.0,155.0,27,https://pypi.org/project/dyNET,2020-10-21 14:31:01.000000,38.0,5357.0,5381.0,,,,True,3,1229.0,,,,,,,,,,,,,,,,,,,,,,,\n224,Alpha Vantage,RomelTorres/alpha_vantage,alpha_vantage,,,financial-data,,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00.000000,2020-12-21 19:51:59.000000,2020-12-21 19:51:57.000000,541.0,16.0,195.0,2955.0,497.0,2020-12-21 02:37:29.000000,2.3.1,28.0,A python wrapper for Alpha Vantage API for financial data.,202.0,,36.0,27,https://pypi.org/project/alpha_vantage,2018-08-26 18:55:11.000000,202.0,25430.0,25430.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n225,missingno,ResidentMario/missingno,missingno,conda-forge/missingno,,data-viz,,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50.000000,2020-12-28 16:13:39.000000,2020-12-28 16:13:38.000000,333.0,15.0,87.0,2589.0,170.0,2019-07-09 16:03:51.000000,0.4.2,21.0,Missing data visualization module for Python.,2625.0,2549.0,15.0,27,https://pypi.org/project/missingno,2018-06-29 16:25:00.000000,76.0,188389.0,189958.0,https://anaconda.org/conda-forge/missingno,2020-02-15 10:07:41.253000,65904.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n226,Catalyst,catalyst-team/catalyst,catalyst,,,ml-experiments,['pytorch'],https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13.000000,2020-12-31 06:48:03.000000,2020-12-31 06:43:59.000000,259.0,28.0,257.0,2347.0,1466.0,2020-12-20 10:12:32.000000,20.12,86.0,Accelerated deep learning R&D.,292.0,254.0,80.0,27,https://pypi.org/project/catalyst,2020-12-20 10:06:58.000000,38.0,8797.0,8797.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n227,pygal,Kozea/pygal,pygal,conda-forge/pygal,,graph,,https://github.com/Kozea/pygal,https://github.com/Kozea/pygal,LGPL-3.0,2011-09-23 10:17:50.000000,2020-12-24 20:11:00.000000,2020-10-14 16:41:45.000000,380.0,164.0,240.0,2297.0,1012.0,2017-07-05 09:22:41.000000,2.4.0,74.0,PYthon svg GrAph plotting Library.,1152.0,,69.0,27,https://pypi.org/project/pygal,2020-10-14 13:06:35.000000,1152.0,62336.0,62631.0,https://anaconda.org/conda-forge/pygal,2019-06-04 02:55:56.728000,5609.0,False,1,,,,,,,,,,,,,,,,,,,,,,,,\n228,GluonNLP,dmlc/gluon-nlp,gluonnlp,,,nlp,['mxnet'],https://github.com/dmlc/gluon-nlp,https://github.com/dmlc/gluon-nlp,Apache-2.0,2018-04-04 20:57:13.000000,2020-12-31 02:07:02.000000,2020-10-08 21:11:34.000000,490.0,227.0,283.0,2199.0,785.0,2020-08-13 19:16:27.000000,0.10.0,25.0,\"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..\",371.0,360.0,72.0,27,https://pypi.org/project/gluonnlp,2020-08-13 01:28:51.000000,11.0,33738.0,33738.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n229,Databases,encode/databases,databases,conda-forge/databases,,db-clients,,https://github.com/encode/databases,https://github.com/encode/databases,BSD-3-Clause,2019-02-01 10:55:25.000000,2020-12-10 06:34:13.000000,2020-12-10 06:34:11.000000,132.0,88.0,87.0,1870.0,268.0,2020-11-16 20:54:58.000000,0.4.1,29.0,Async database support for Python.,1328.0,1268.0,28.0,27,https://pypi.org/project/databases,2020-11-16 20:54:58.000000,60.0,44040.0,47384.0,https://anaconda.org/conda-forge/databases,2020-11-21 20:34:38.553000,76923.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n230,hdbscan,scikit-learn-contrib/hdbscan,hdbscan,conda-forge/hdbscan,,others,['sklearn'],https://github.com/scikit-learn-contrib/hdbscan,https://github.com/scikit-learn-contrib/hdbscan,BSD-3-Clause,2015-04-22 13:32:37.000000,2020-12-17 03:36:32.000000,2020-12-17 03:36:31.000000,334.0,213.0,139.0,1778.0,858.0,2020-03-19 19:19:04.000000,0.8.26,42.0,A high performance implementation of HDBSCAN clustering.,816.0,692.0,63.0,27,https://pypi.org/project/hdbscan,2020-03-19 19:19:04.000000,124.0,130912.0,140172.0,https://anaconda.org/conda-forge/hdbscan,2020-11-02 02:54:21.050000,500048.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n231,TF-Agents,tensorflow/agents,tf-agents,,,reinforcement-learning,['tensorflow'],https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000000,2020-12-29 20:33:37.000000,2020-12-29 20:33:06.000000,443.0,99.0,301.0,1740.0,1573.0,2020-11-17 03:53:32.000000,0.7.0,16.0,TF-Agents is a library for Reinforcement Learning in TensorFlow.,342.0,330.0,84.0,27,https://pypi.org/project/tf-agents,2020-12-15 19:06:26.000000,12.0,7644.0,7644.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n232,libcloud,apache/libcloud,apache-libcloud,,,db-clients,,https://github.com/apache/libcloud,https://github.com/apache/libcloud,Apache-2.0,2009-12-11 09:00:14.000000,2020-12-30 14:13:48.000000,2020-12-27 21:52:13.000000,880.0,30.0,64.0,1732.0,,2020-09-20 13:03:47.000000,3.2.0,61.0,Apache Libcloud is a Python library which hides differences between different cloud provider APIs and allows you to..,3130.0,1588.0,418.0,27,https://pypi.org/project/apache-libcloud,2020-09-20 13:03:47.000000,1542.0,53018.0,53018.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n233,textacy,chartbeat-labs/textacy,textacy,conda-forge/textacy,,nlp,,https://github.com/chartbeat-labs/textacy,https://github.com/chartbeat-labs/textacy,Apache-2.0,2016-02-03 16:52:45.000000,2020-12-29 21:39:39.000000,2020-12-06 20:43:27.000000,211.0,29.0,194.0,1579.0,1328.0,2020-08-29 20:51:05.000000,0.10.1,29.0,\"NLP, before and after spaCy.\",77.0,,28.0,27,https://pypi.org/project/textacy,2020-08-29 20:51:28.000000,77.0,27743.0,29405.0,https://anaconda.org/conda-forge/textacy,2020-11-19 15:32:56.211000,73148.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n234,tslearn,tslearn-team/tslearn,tslearn,conda-forge/tslearn,,time-series-data,['sklearn'],https://github.com/tslearn-team/tslearn,https://github.com/tslearn-team/tslearn,BSD-2-Clause,2017-05-04 13:08:13.000000,2020-12-31 21:41:09.000000,2020-12-31 10:01:10.000000,211.0,51.0,161.0,1426.0,1556.0,2020-06-18 15:54:49.000000,0.4.1,90.0,A machine learning toolkit dedicated to time-series data.,181.0,170.0,27.0,27,https://pypi.org/project/tslearn,2020-06-18 16:13:01.000000,11.0,54904.0,60110.0,https://anaconda.org/conda-forge/tslearn,2020-06-19 05:46:30.651000,177029.0,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n235,datasketch,ekzhu/datasketch,datasketch,,,data-containers,,https://github.com/ekzhu/datasketch,https://github.com/ekzhu/datasketch,MIT,2015-03-20 01:21:46.000000,2020-12-23 21:01:58.000000,2020-12-23 21:00:36.000000,198.0,19.0,90.0,1406.0,193.0,2020-12-15 20:59:57.000000,1.5.2,74.0,\"MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble.\",328.0,242.0,16.0,27,https://pypi.org/project/datasketch,2020-12-15 20:59:57.000000,86.0,196661.0,196661.0,,,,True,3,16.0,,,,,,,,,,,,,,,,,,,,,,,\n236,Cartopy,mapbox/rasterio,Cartopy,conda-forge/cartopy,,geospatial-data,,https://github.com/mapbox/rasterio,https://github.com/mapbox/rasterio,LGPL-3.0,2013-11-04 16:36:27.000000,2020-12-30 20:52:11.000000,2020-12-15 00:21:46.000000,387.0,135.0,1183.0,1398.0,3239.0,2018-11-17 07:43:32.000000,0.17.0,18.0,Rasterio reads and writes geospatial raster datasets.,2718.0,2545.0,109.0,27,https://pypi.org/project/Cartopy,2020-04-27 04:57:38.000000,173.0,12349.0,34551.0,https://anaconda.org/conda-forge/cartopy,2020-12-21 22:49:27.196000,1287136.0,False,2,702.0,,,,,,,,,,,,,,,,,,,,,,,\n237,GPflow,GPflow/GPflow,gpflow,conda-forge/gpflow,,probabilistics,['tensorflow'],https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000000,2020-12-21 12:16:16.000000,2020-12-01 11:59:33.000000,389.0,86.0,599.0,1355.0,2203.0,2020-12-01 12:59:03.000000,2.1.4,28.0,Gaussian processes in TensorFlow.,224.0,207.0,68.0,27,https://pypi.org/project/gpflow,2020-12-01 13:12:15.000000,17.0,3928.0,4175.0,https://anaconda.org/conda-forge/gpflow,2018-11-06 08:51:39.744000,7935.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n238,ipyleaflet,jupyter-widgets/ipyleaflet,ipyleaflet,conda-forge/ipyleaflet,,geospatial-data,['jupyter'],https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10.000000,2020-12-30 16:32:38.000000,2020-12-28 01:24:25.000000,278.0,131.0,246.0,1067.0,893.0,2020-12-28 01:44:46.000000,0.13.4,68.0,A Jupyter - Leaflet.js bridge.,750.0,650.0,63.0,27,https://pypi.org/project/ipyleaflet,2020-12-28 01:30:36.000000,98.0,15058.0,164479.0,https://anaconda.org/conda-forge/ipyleaflet,2020-12-28 02:53:27.706000,570294.0,True,2,,,,,,,,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2020-12-28 01:28:15.134000,2.0,139238.0,,,,,,,,,,,\n239,PyCUDA,inducer/pycuda,pycuda,,,gpu-utilities,,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000000,2020-12-20 19:34:17.000000,2020-12-20 19:30:13.000000,214.0,40.0,122.0,1062.0,1447.0,2019-08-12 04:15:37.000000,2019.1.2,46.0,\"CUDA integration for Python, plus shiny features.\",991.0,699.0,68.0,27,https://pypi.org/project/pycuda,2020-10-07 21:59:52.000000,292.0,15155.0,15155.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n240,Model Analysis,tensorflow/model-analysis,tensorflow-model-analysis,,,interpretability,\"['tensorflow', 'jupyter']\",https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000000,2020-12-28 18:19:44.000000,2020-12-28 18:19:38.000000,203.0,22.0,32.0,1016.0,872.0,2020-12-16 20:56:20.000000,0.26.0,33.0,Model analysis tools for TensorFlow.,10.0,,33.0,27,https://pypi.org/project/tensorflow-model-analysis,2020-12-16 20:56:20.000000,10.0,5774159.0,5774159.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n241,TF Model Optimization,tensorflow/model-optimization,tensorflow-model-optimization,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/model-optimization,https://github.com/tensorflow/model-optimization,Apache-2.0,2018-10-31 20:34:28.000000,2020-12-21 10:46:14.000000,2020-11-23 18:50:28.000000,208.0,70.0,87.0,938.0,459.0,2020-09-14 04:46:03.000000,0.5.0,20.0,\"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.\",500.0,497.0,41.0,27,https://pypi.org/project/tensorflow-model-optimization,2020-09-14 04:36:08.000000,3.0,60960.0,60960.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n242,PyStan,stan-dev/pystan,pystan,conda-forge/pystan,,probabilistics,,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,GPL-3.0,2013-05-24 01:21:21.000000,2020-11-21 11:22:51.000000,2020-11-21 11:22:43.000000,192.0,66.0,425.0,904.0,867.0,2020-10-16 20:20:46.000000,2.19.1.1-codes,54.0,\"PyStan, the Python interface to Stan.\",2682.0,2340.0,54.0,27,https://pypi.org/project/pystan,2020-11-19 14:21:16.000000,342.0,760429.0,778442.0,https://anaconda.org/conda-forge/pystan,2020-08-25 22:40:14.631000,828586.0,False,2,89.0,,,,,,,,,,,,,,,,,,,,,,,\n243,pyopencl,inducer/pyopencl,pyopencl,conda-forge/pyopencl,,others,,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,MIT,2011-04-06 02:51:33.000000,2020-12-31 19:56:05.000000,2020-12-31 19:56:00.000000,199.0,50.0,206.0,761.0,2801.0,2020-09-11 21:50:46.000000,2020.3.1,54.0,\"OpenCL integration for Python, plus shiny features.\",673.0,435.0,82.0,27,https://pypi.org/project/pyopencl,2020-11-20 05:22:46.000000,238.0,5985.0,11761.0,https://anaconda.org/conda-forge/pyopencl,2020-11-20 05:04:27.429000,294607.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n244,igraph,igraph/python-igraph,python-igraph,conda-forge/igraph,,graph,,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16.000000,2020-12-11 08:07:37.000000,2020-12-11 08:07:36.000000,180.0,23.0,254.0,752.0,1502.0,2020-10-08 14:50:52.000000,0.8.3,18.0,Python interface for igraph.,1784.0,1360.0,47.0,27,https://pypi.org/project/python-igraph,2020-04-28 17:45:27.000000,424.0,51330.0,55802.0,https://anaconda.org/conda-forge/igraph,2020-11-13 06:39:57.318000,190515.0,False,1,24647.0,,,,,,,,,,,,,,,,,,,,,,,\n245,geojson,jazzband/geojson,geojson,conda-forge/geojson,,geospatial-data,,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48.000000,2020-11-25 21:55:02.000000,2020-11-25 19:10:27.000000,78.0,18.0,50.0,586.0,445.0,2019-08-09 20:32:15.000000,2.5.0,28.0,Python bindings and utilities for GeoJSON.,7055.0,5451.0,44.0,27,https://pypi.org/project/geojson,2019-08-09 20:32:15.000000,1604.0,435740.0,441847.0,https://anaconda.org/conda-forge/geojson,2019-08-11 12:10:34.426000,354240.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n246,detectron2,facebookresearch/detectron2,,conda-forge/detectron2,,image,['pytorch'],https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000000,2020-12-31 12:44:12.000000,2020-12-31 12:44:06.000000,3628.0,89.0,2052.0,14307.0,893.0,2020-11-06 03:20:56.000000,0.3,7.0,Detectron2 is FAIR's next-generation platform for object detection and segmentation.,142.0,142.0,138.0,26,,,,,1476.0,https://anaconda.org/conda-forge/detectron2,2020-08-05 13:27:52.058000,11810.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n247,Streamlit,streamlit/streamlit,streamlit,,,others,,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000000,2021-01-01 06:32:26.000000,2020-12-31 08:18:47.000000,1031.0,512.0,919.0,12358.0,,2020-12-22 21:30:50.000000,0.73.0,120.0,Streamlit The fastest way to build data apps in Python.,78.0,44.0,82.0,26,https://pypi.org/project/streamlit,2020-12-21 23:18:07.000000,34.0,118200.0,118200.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n248,EasyOCR,JaidedAI/EasyOCR,easyocr,,,ocr,,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000000,2020-12-25 10:41:40.000000,2020-12-19 08:40:04.000000,927.0,76.0,152.0,9677.0,365.0,2020-11-17 05:17:50.000000,1.2,13.0,\"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..\",96.0,96.0,73.0,26,https://pypi.org/project/easyocr,2020-11-21 11:04:24.000000,0.0,9274.0,20963.0,,,,True,2,81824.0,,,,,,,,,,,,,,,,,,,,,,,\n249,InsightFace,deepinsight/insightface,insightface,,,image,['mxnet'],https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,MIT,2017-09-01 00:36:51.000000,2020-12-31 13:57:14.000000,2020-12-31 13:57:01.000000,2848.0,684.0,640.0,8307.0,1464.0,2019-09-07 13:47:11.000000,0.1.5,6.0,Face Analysis Project on MXNet.,47.0,46.0,14.0,26,https://pypi.org/project/insightface,2019-09-07 13:47:11.000000,1.0,6237.0,6237.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n250,Ludwig,ludwig-ai/ludwig,ludwig,,,ml-frameworks,['tensorflow'],https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000000,2020-12-30 20:52:25.000000,2020-12-30 20:52:24.000000,882.0,110.0,406.0,7394.0,2046.0,2020-12-29 03:18:52.000000,0.3.2,15.0,Ludwig is a toolbox that allows to train and evaluate deep learning models without the need to write code.,85.0,73.0,86.0,26,https://pypi.org/project/ludwig,2020-11-16 23:58:45.000000,12.0,1276.0,1276.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n251,PySyft,OpenMined/PySyft,syft,,,privacy-ml,['pytorch'],https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,MIT,2017-07-18 20:41:16.000000,2020-12-31 06:58:09.000000,2020-12-31 04:15:46.000000,1509.0,173.0,2445.0,6698.0,6515.0,2020-11-12 19:57:33.000000,0.3.0,48.0,A library for answering questions using data you cannot see.,3.0,,332.0,26,https://pypi.org/project/syft,2020-09-14 15:03:40.000000,3.0,2241.0,2241.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n252,TensorLayer,tensorlayer/tensorlayer,tensorlayer,,,reinforcement-learning,['tensorflow'],https://github.com/tensorlayer/tensorlayer,https://github.com/tensorlayer/tensorlayer,Apache-2.0,2016-06-07 15:55:16.000000,2020-12-23 00:56:45.000000,2020-10-29 07:58:40.000000,1444.0,48.0,403.0,6433.0,3299.0,2020-06-19 00:53:37.000000,2.2.3,82.0,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,68.0,,127.0,26,https://pypi.org/project/tensorlayer,2020-06-19 00:53:37.000000,68.0,2620.0,2643.0,,,,True,2,1197.0,,,,,,,,,,,,,,,,,,,,,,,\n253,imageai,OlafenwaMoses/ImageAI,imageai,,,image,,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33.000000,2020-12-28 12:59:26.000000,2020-01-14 21:25:23.000000,1556.0,194.0,384.0,5597.0,277.0,2019-09-13 22:44:02.000000,2.1.5,9.0,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,649.0,637.0,13.0,26,https://pypi.org/project/imageai,2019-09-13 22:44:02.000000,12.0,5923.0,21599.0,,,,True,2,517321.0,,,,,,,,,,,,,,,,,,,,,,,\n254,carla,carla-simulator/carla,carla,,,others,,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000000,2020-12-29 20:07:31.000000,2020-12-22 22:54:58.000000,1530.0,254.0,2630.0,5394.0,4756.0,2020-12-23 07:08:35.000000,0.9.11,22.0,Open-source simulator for autonomous driving research.,55.0,53.0,122.0,26,https://pypi.org/project/carla,2019-04-28 17:45:24.000000,2.0,688.0,688.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n255,backtrader,mementum/backtrader,backtrader,,,financial-data,,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52.000000,2020-12-24 19:58:54.000000,2020-07-03 12:52:48.000000,1617.0,13.0,,5290.0,2381.0,,,155.0,Python Backtesting library for trading strategies.,477.0,407.0,50.0,26,https://pypi.org/project/backtrader,2020-07-03 13:02:14.000000,70.0,15519.0,15519.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,,\n256,tsfresh,blue-yonder/tsfresh,tsfresh,conda-forge/tsfresh,,time-series-data,['sklearn'],https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17.000000,2020-12-30 10:43:53.000000,2020-12-23 10:30:05.000000,816.0,29.0,391.0,5258.0,398.0,2020-09-09 21:08:22.000000,0.17.0,26.0,Automatic extraction of relevant features from time series:.,33.0,,70.0,26,https://pypi.org/project/tsfresh,2020-09-09 21:08:22.000000,33.0,169322.0,169981.0,https://anaconda.org/conda-forge/tsfresh,2020-09-10 08:48:19.773000,25074.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n257,DeepPavlov,deepmipt/DeepPavlov,deeppavlov,,,nlp,['tensorflow'],https://github.com/deepmipt/DeepPavlov,https://github.com/deepmipt/DeepPavlov,Apache-2.0,2017-11-17 14:35:29.000000,2020-12-31 06:28:32.000000,2020-12-24 16:30:15.000000,884.0,69.0,445.0,4914.0,2579.0,2020-12-24 16:35:56.000000,0.14.0,41.0,An open source library for deep learning end-to-end dialog systems and chatbots.,170.0,166.0,61.0,26,https://pypi.org/project/deeppavlov,2020-12-24 16:33:49.000000,4.0,7554.0,7554.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n258,keras-rl,keras-rl/keras-rl,keras-rl,,,reinforcement-learning,['tensorflow'],https://github.com/keras-rl/keras-rl,https://github.com/keras-rl/keras-rl,MIT,2016-07-02 15:53:12.000000,2020-11-20 07:32:13.000000,2019-11-11 22:14:54.000000,1284.0,39.0,210.0,4904.0,308.0,2018-06-01 07:52:24.000000,0.4.2,8.0,Deep Reinforcement Learning for Keras.,490.0,439.0,40.0,26,https://pypi.org/project/keras-rl,2018-06-01 07:52:24.000000,51.0,1677.0,1677.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,,\n259,Bayesian Optimization,fmfn/BayesianOptimization,bayesian-optimization,,,hyperopt,,https://github.com/fmfn/BayesianOptimization,https://github.com/fmfn/BayesianOptimization,MIT,2014-06-06 08:18:56.000000,2020-12-24 10:51:12.000000,2020-12-19 01:11:23.000000,1029.0,42.0,163.0,4744.0,199.0,2020-05-16 16:03:51.000000,1.2.0,8.0,A Python implementation of global optimization with gaussian processes.,644.0,552.0,27.0,26,https://pypi.org/project/bayesian-optimization,2020-05-16 15:56:09.000000,92.0,54852.0,54853.0,,,,True,2,44.0,,,,,,,,,,,,,,,,,,,,,,,\n260,scikit-surprise,NicolasHug/Surprise,scikit-surprise,conda-forge/scikit-surprise,,recommender-systems,,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38.000000,2020-10-13 01:22:58.850000,2020-08-05 17:45:59.000000,809.0,35.0,285.0,4598.0,622.0,2020-07-19 14:50:48.000000,1.1.1,9.0,A Python scikit for building and analyzing recommender systems.,861.0,837.0,38.0,26,https://pypi.org/project/scikit-surprise,2020-07-19 14:50:48.000000,24.0,40520.0,44691.0,https://anaconda.org/conda-forge/scikit-surprise,2020-10-13 01:22:58.850000,150183.0,True,2,,,,,,,,,,,,,,,-2.0,,,,,,,,,\n261,PDFMiner,euske/pdfminer,pdfminer,conda-forge/pdfminer,,data-loading,,https://github.com/euske/pdfminer,https://github.com/euske/pdfminer,MIT,2010-12-12 12:50:22.000000,2020-06-23 18:16:10.000000,2020-01-18 07:00:32.000000,1024.0,222.0,39.0,4459.0,540.0,,,24.0,Python PDF Parser (Not actively maintained). Check out pdfminer.six.,3410.0,1944.0,28.0,26,https://pypi.org/project/pdfminer,2019-11-25 12:02:21.000000,1466.0,174493.0,174744.0,https://anaconda.org/conda-forge/pdfminer,2019-11-03 18:50:06.843000,13340.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n262,Datasette,simonw/datasette,datasette,,,others,,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000000,2020-12-31 21:46:49.000000,2020-12-31 21:46:32.000000,241.0,209.0,719.0,4446.0,1539.0,2020-12-11 01:46:44.000000,0.53,87.0,An open source multi-tool for exploring and publishing data.,399.0,329.0,41.0,26,https://pypi.org/project/datasette,2020-12-11 01:53:37.000000,70.0,7540.0,7540.0,,,,True,2,,,datasette,,,,,,,,,,,,,,,,,,,,,\n263,librosa,librosa/librosa,librosa,conda-forge/librosa,,audio,,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000000,2020-10-19 21:24:48.000000,2020-09-11 13:58:44.000000,667.0,54.0,778.0,4173.0,,2020-07-22 01:34:55.000000,0.8.0,28.0,Python library for audio and music analysis.,10407.0,8657.0,80.0,26,https://pypi.org/project/librosa,2020-07-22 01:34:55.000000,1750.0,294484.0,298891.0,https://anaconda.org/conda-forge/librosa,2020-07-22 10:27:18.402000,238003.0,True,2,,,,,,,,,,,,,,,-2.0,,,,,,,,,\n264,Metaflow,Netflix/metaflow,metaflow,conda-forge/metaflow,,ml-experiments,,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000000,2020-12-31 19:23:39.000000,2020-12-01 22:33:03.000000,310.0,107.0,136.0,3954.0,174.0,2020-11-11 10:43:10.000000,2.2.5,14.0,Build and manage real-life data science projects with ease.,99.0,98.0,28.0,26,https://pypi.org/project/metaflow,2020-10-29 00:11:07.000000,1.0,39432.0,40182.0,https://anaconda.org/conda-forge/metaflow,2020-11-12 08:15:24.353000,9754.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n265,MechanicalSoup,MechanicalSoup/MechanicalSoup,MechanicalSoup,conda-forge/mechanicalsoup,,web-scraping,,https://github.com/MechanicalSoup/MechanicalSoup,https://github.com/MechanicalSoup/MechanicalSoup,MIT,2014-05-26 09:06:11.000000,2020-12-28 20:36:58.000000,2020-11-11 08:39:08.000000,309.0,21.0,119.0,3637.0,556.0,2019-08-27 16:49:38.000000,0.12.0,23.0,A Python library for automating interaction with websites.,390.0,,41.0,26,https://pypi.org/project/MechanicalSoup,2019-08-27 16:49:38.000000,390.0,34772.0,36268.0,https://anaconda.org/conda-forge/mechanicalsoup,2019-08-29 17:40:39.007000,73341.0,True,3,39.0,,,,,,,,,,,,,,,,,,,,,,,\n266,pyAudioAnalysis,tyiannak/pyAudioAnalysis,pyAudioAnalysis,,,audio,,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13.000000,2020-12-18 08:17:50.000000,2020-12-18 08:17:50.000000,922.0,158.0,103.0,3634.0,673.0,2020-09-29 21:30:02.000000,0.3.6,15.0,\"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.\",185.0,174.0,23.0,26,https://pypi.org/project/pyAudioAnalysis,2020-09-29 21:30:02.000000,11.0,8548.0,8548.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n267,mlpack,mlpack/mlpack,mlpack,conda-forge/mlpack,,ml-frameworks,,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59.000000,2021-01-01 10:51:07.000000,2020-12-31 00:07:08.000000,1276.0,156.0,1173.0,3511.0,25658.0,2020-10-28 18:28:47.000000,3.4.2,40.0,mlpack: a scalable C++ machine learning library --.,,,260.0,26,https://pypi.org/project/mlpack,2020-10-28 18:28:47.000000,,322.0,2376.0,https://anaconda.org/conda-forge/mlpack,2020-10-29 09:35:18.918000,61630.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n268,sktime,alan-turing-institute/sktime,sktime,,,time-series-data,['sklearn'],https://github.com/alan-turing-institute/sktime,https://github.com/alan-turing-institute/sktime,BSD-3-Clause,2018-11-06 15:08:24.000000,2020-12-31 21:13:49.000000,2020-12-29 19:03:21.000000,402.0,98.0,201.0,3342.0,1517.0,2020-12-29 22:15:58.000000,0.5.1,11.0,A unified framework for machine learning with time series.,90.0,90.0,69.0,26,https://pypi.org/project/sktime,2020-12-29 22:15:58.000000,0.0,7219.0,7221.0,,,,True,2,41.0,,,,,,,,,,,,,,,,,,,,,,,\n269,Perspective,finos/perspective,perspective-python,,,data-viz,['jupyter'],https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000000,2020-12-30 18:35:43.000000,2020-12-30 18:35:41.000000,330.0,66.0,286.0,3082.0,4260.0,2020-10-15 13:18:28.000000,0.5.6,38.0,Streaming pivot visualization via WebAssembly.,165.0,161.0,60.0,26,https://pypi.org/project/perspective-python,2020-10-15 13:18:28.000000,4.0,546.0,1607.0,,,,True,3,,,,,,,,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2020-10-15 12:44:46.020000,,1061.0,,,,,,,,,,,\n270,yellowbrick,DistrictDataLabs/yellowbrick,yellowbrick,,,interpretability,['sklearn'],https://github.com/DistrictDataLabs/yellowbrick,https://github.com/DistrictDataLabs/yellowbrick,Apache-2.0,2016-05-18 14:12:17.000000,2020-12-29 16:30:19.000000,2020-12-29 16:28:56.000000,462.0,83.0,506.0,3048.0,829.0,2020-10-09 19:34:55.000000,1.2,19.0,Visual analysis and diagnostic tools to facilitate machine learning model selection.,62.0,,95.0,26,https://pypi.org/project/yellowbrick,2020-10-09 19:35:00.000000,62.0,61437.0,61437.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n271,textract,deanmalmgren/textract,textract,conda-forge/textract,,data-loading,,https://github.com/deanmalmgren/textract,https://github.com/deanmalmgren/textract,MIT,2014-07-03 20:36:59.000000,2020-12-21 14:04:27.000000,2019-11-14 08:37:39.000000,415.0,84.0,121.0,2924.0,556.0,2019-08-26 15:05:53.000000,1.6.3,15.0,extract text from any document. no muss. no fuss.,192.0,,30.0,26,https://pypi.org/project/textract,2019-08-26 15:05:53.000000,192.0,20332.0,20529.0,https://anaconda.org/conda-forge/textract,2017-03-20 21:15:33.254000,10246.0,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n272,pomegranate,jmschrei/pomegranate,pomegranate,conda-forge/pomegranate,,probabilistics,,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000000,2021-01-01 06:00:58.000000,2021-01-01 06:00:57.000000,460.0,39.0,527.0,2553.0,864.0,2020-07-12 21:28:17.000000,0.13.4,59.0,\"Fast, flexible and easy to use probabilistic modelling in Python.\",396.0,368.0,60.0,26,https://pypi.org/project/pomegranate,2020-07-12 21:28:17.000000,28.0,21746.0,24048.0,https://anaconda.org/conda-forge/pomegranate,2020-11-01 16:22:04.857000,41450.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n273,Dagster,dagster-io/dagster,dagster,conda-forge/dagster,,data-pipelines,,https://github.com/dagster-io/dagster,https://github.com/dagster-io/dagster,Apache-2.0,2018-04-30 16:30:04.000000,2020-12-29 21:33:53.000000,2020-12-24 18:10:31.000000,252.0,599.0,1744.0,2480.0,6160.0,2020-12-11 04:26:56.000000,0.9.22.post0,224.0,\"A data orchestrator for machine learning, analytics, and ETL.\",133.0,129.0,107.0,26,https://pypi.org/project/dagster,2020-12-11 04:26:29.000000,4.0,26719.0,35335.0,https://anaconda.org/conda-forge/dagster,2020-12-04 14:42:14.711000,120631.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n274,gpustat,wookayin/gpustat,gpustat,conda-forge/gpustat,,gpu-utilities,,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43.000000,2020-12-29 19:30:26.000000,2020-05-19 04:45:47.000000,180.0,18.0,44.0,2161.0,165.0,2019-07-22 06:37:00.000000,0.6.0,10.0,A simple command-line utility for querying and monitoring GPU status.,589.0,531.0,10.0,26,https://pypi.org/project/gpustat,2019-07-22 06:17:48.000000,58.0,139623.0,139884.0,https://anaconda.org/conda-forge/gpustat,2020-11-24 19:59:04.772000,5752.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n275,Core ML Tools,apple/coremltools,coremltools,,,model-serialisation,,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000000,2020-12-21 03:46:41.000000,2020-12-17 20:40:42.000000,319.0,294.0,303.0,2049.0,849.0,2020-10-10 18:21:00.000000,4.0,27.0,\"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.\",570.0,437.0,107.0,26,https://pypi.org/project/coremltools,2020-10-10 18:16:12.000000,133.0,37980.0,38034.0,,,,True,2,2199.0,,,,,,,,,,,,,,,,,,,,,,,\n276,Cufflinks,santosjorge/cufflinks,cufflinks,,,data-viz,['pandas'],https://github.com/santosjorge/cufflinks,https://github.com/santosjorge/cufflinks,MIT,2014-11-19 20:59:33.000000,2020-10-07 16:12:54.000000,2020-10-07 16:12:53.000000,501.0,79.0,119.0,2033.0,450.0,2020-03-01 17:42:01.000000,0.17.3,27.0,Productivity Tools for Plotly + Pandas.,2687.0,2453.0,37.0,26,https://pypi.org/project/cufflinks,2020-03-01 17:42:01.000000,234.0,51969.0,51969.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n277,Grab,lorien/grab,grab,,,web-scraping,,https://github.com/lorien/grab,https://github.com/lorien/grab,MIT,2013-05-01 08:10:22.000000,2020-12-10 19:43:05.000000,2020-12-08 03:50:03.000000,244.0,26.0,189.0,2025.0,2179.0,2018-06-24 14:27:52.000000,0.6.41,120.0,Web Scraping Framework.,400.0,300.0,65.0,26,https://pypi.org/project/grab,2018-06-24 14:27:52.000000,100.0,1681.0,1681.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n278,aubio,aubio/aubio,aubio,conda-forge/aubio,,audio,,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44.000000,2020-12-07 11:14:34.000000,2020-07-02 17:03:56.000000,292.0,103.0,171.0,1999.0,4109.0,2019-02-27 09:00:43.000000,0.4.9,10.0,a library for audio and music analysis.,215.0,199.0,24.0,26,https://pypi.org/project/aubio,2019-02-08 11:21:02.000000,16.0,1692.0,9863.0,https://anaconda.org/conda-forge/aubio,2020-10-13 12:09:18.538000,375868.0,False,2,,,,,,,,,,,,,,,,,,,,,,,,\n279,BoTorch,pytorch/botorch,botorch,,,hyperopt,['pytorch'],https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000000,2021-01-01 08:22:18.000000,2020-12-31 03:50:02.000000,171.0,40.0,108.0,1796.0,793.0,2020-12-08 06:47:25.000000,0.3.3,16.0,Bayesian optimization in PyTorch.,71.0,71.0,49.0,26,https://pypi.org/project/botorch,2020-12-08 06:47:25.000000,0.0,28296.0,28296.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n280,PyFunctional,EntilZha/PyFunctional,pyfunctional,,,data-pipelines,,https://github.com/EntilZha/PyFunctional,https://github.com/EntilZha/PyFunctional,MIT,2015-02-05 17:17:51.000000,2020-12-28 17:25:45.000000,2020-12-28 17:25:44.000000,96.0,3.0,114.0,1756.0,515.0,2020-09-17 13:36:04.000000,1.4.2,13.0,Python library for creating data pipelines with chain functional programming.,245.0,245.0,23.0,26,https://pypi.org/project/pyfunctional,2020-09-17 13:36:04.000000,0.0,32041.0,32041.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n281,Foolbox,bethgelab/foolbox,foolbox,,,adversarial,,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48.000000,2020-12-20 18:06:33.000000,2020-12-20 18:05:23.000000,314.0,41.0,262.0,1753.0,1637.0,2020-09-26 06:49:13.000000,3.2.1,66.0,\"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.\",179.0,161.0,30.0,26,https://pypi.org/project/foolbox,2020-09-26 06:49:13.000000,18.0,1196.0,1196.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n282,facenet-pytorch,timesler/facenet-pytorch,facenet-pytorch,,,image,['pytorch'],https://github.com/timesler/facenet-pytorch,https://github.com/timesler/facenet-pytorch,MIT,2019-05-25 01:29:24.000000,2020-11-19 06:56:24.000000,2020-11-19 06:56:23.000000,369.0,23.0,84.0,1730.0,229.0,2020-11-19 06:49:36.000000,2.5.1,30.0,Pretrained Pytorch face detection (MTCNN) and recognition (InceptionResnet) models.,237.0,234.0,11.0,26,https://pypi.org/project/facenet-pytorch,2020-11-19 06:49:36.000000,3.0,4908.0,8500.0,,,,True,2,50288.0,,,,,,,,,,,,,,,,,,,,,,,\n283,langid,saffsd/langid.py,langid,,,nlp,,https://github.com/saffsd/langid.py,https://github.com/saffsd/langid.py,BSD-3-Clause,2011-04-29 00:16:56.000000,2020-01-01 10:49:30.000000,2017-07-15 02:49:17.000000,266.0,25.0,45.0,1697.0,242.0,2016-04-05 22:34:15.000000,1.1.6,8.0,Stand-alone language identification system.,828.0,578.0,9.0,26,https://pypi.org/project/langid,2016-04-05 22:34:15.000000,250.0,495682.0,495682.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,,\n284,efficientnet,qubvel/efficientnet,efficientnet,,,others,['tensorflow'],https://github.com/qubvel/efficientnet,https://github.com/qubvel/efficientnet,Apache-2.0,2019-05-30 20:21:09.000000,2020-12-10 07:02:58.000000,2020-09-15 16:19:36.000000,366.0,49.0,53.0,1635.0,64.0,2020-09-15 16:26:00.000000,1.1.1,9.0,Implementation of EfficientNet model. Keras and TensorFlow Keras.,472.0,470.0,8.0,26,https://pypi.org/project/efficientnet,2020-09-15 16:26:00.000000,2.0,83412.0,90201.0,,,,True,2,135785.0,,,,,,,,,,,,,,,,,,,,,,,\n285,tesserocr,sirfz/tesserocr,tesserocr,conda-forge/tesserocr,,ocr,,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36.000000,2020-12-31 09:45:57.000000,2020-11-17 19:55:36.000000,185.0,60.0,141.0,1373.0,151.0,2020-03-17 17:45:44.000000,2.5.1,15.0,A Python wrapper for the tesseract-ocr API.,489.0,439.0,23.0,26,https://pypi.org/project/tesserocr,2020-03-17 17:45:44.000000,50.0,30894.0,32966.0,https://anaconda.org/conda-forge/tesserocr,2020-10-14 10:27:18.734000,31090.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n286,AWS Data Wrangler,awslabs/aws-data-wrangler,awswrangler,,,db-clients,['pandas'],https://github.com/awslabs/aws-data-wrangler,https://github.com/awslabs/aws-data-wrangler,Apache-2.0,2019-02-26 01:39:02.000000,2020-12-31 20:57:59.000000,2020-12-31 17:19:42.000000,211.0,32.0,244.0,1316.0,1176.0,2020-12-23 00:05:46.000000,2.2.0,104.0,Pandas on AWS.,,,54.0,26,https://pypi.org/project/awswrangler,2020-12-22 23:58:01.000000,,539156.0,540229.0,,,,True,3,19325.0,,,,,,,,,,,,,,,,,,,,,,,\n287,agate,wireservice/agate,agate,conda-forge/agate,,others,,https://github.com/wireservice/agate,https://github.com/wireservice/agate,MIT,2014-04-25 13:59:09.000000,2020-12-30 20:43:14.000000,2020-04-01 15:40:18.000000,132.0,54.0,588.0,1024.0,1355.0,2018-03-11 14:37:30.000000,1.6.1,24.0,A Python data analysis library that is optimized for humans instead of machines.,565.0,473.0,47.0,26,https://pypi.org/project/agate,2018-03-11 14:37:30.000000,92.0,164159.0,165412.0,https://anaconda.org/conda-forge/agate,2018-08-19 06:02:58.597000,58929.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n288,petl,petl-developers/petl,petl,conda-forge/petl,http://petl.readthedocs.org,data-pipelines,,https://github.com/petl-developers/petl,https://github.com/petl-developers/petl,MIT,2011-08-19 09:51:03.000000,2020-12-29 04:11:54.349000,2020-12-29 03:45:19.000000,148.0,66.0,342.0,807.0,1119.0,2020-12-29 02:39:53.000000,1.7.1,74.0,Python Extract Transform and Load Tables of Data.,415.0,301.0,43.0,26,https://pypi.org/project/petl,2020-10-06 00:03:28.000000,114.0,13729.0,14093.0,https://anaconda.org/conda-forge/petl,2020-12-29 04:11:54.349000,18938.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n289,cx-Oracle,oracle/python-cx_Oracle,cx-Oracle,,,db-clients,,https://github.com/oracle/python-cx_Oracle,https://github.com/oracle/python-cx_Oracle,BSD-3-Clause,2017-03-07 04:03:36.000000,2020-12-21 22:01:10.000000,2020-12-21 22:01:01.000000,243.0,32.0,461.0,690.0,1076.0,2020-12-08 21:31:48.000000,8.1.0,32.0,Python interface to Oracle Database conforming to the Python DB API 2.0 specification.,144.0,,16.0,26,https://pypi.org/project/cx-Oracle,2020-12-08 21:31:48.000000,144.0,1007982.0,1007982.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n290,dask-ml,dask/dask-ml,dask-ml,conda-forge/dask-ml,,distributed-ml,,https://github.com/dask/dask-ml,https://github.com/dask/dask-ml,BSD-3-Clause,2017-06-15 15:56:06.000000,2020-12-26 22:53:24.000000,2020-11-25 22:14:17.000000,180.0,173.0,200.0,680.0,749.0,2020-09-24 19:34:38.000000,1.7.0,26.0,Scalable Machine Learning with Dask.,364.0,322.0,60.0,26,https://pypi.org/project/dask-ml,2020-09-24 19:34:38.000000,42.0,44534.0,49301.0,https://anaconda.org/conda-forge/dask-ml,2020-09-24 21:21:37.412000,185944.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n291,TensorFlow Text,tensorflow/text,tensorflow-text,,,nlp,['tensorflow'],https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000000,2020-12-23 23:30:58.000000,2020-12-22 19:55:51.000000,84.0,42.0,84.0,673.0,316.0,2020-12-23 03:10:06.000000,2.4.2,31.0,Making text a first-class citizen in TensorFlow.,392.0,388.0,30.0,26,https://pypi.org/project/tensorflow-text,2020-12-22 23:55:15.000000,4.0,157146.0,157146.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n292,PyVista,pyvista/pyvista,pyvista,conda-forge/pyvista,,data-viz,['jupyter'],https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000000,2021-01-01 00:21:18.000000,2020-12-29 16:58:43.000000,132.0,114.0,261.0,634.0,2045.0,2020-12-10 16:30:09.000000,0.27.4,32.0,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,248.0,222.0,48.0,26,https://pypi.org/project/pyvista,2020-12-10 16:30:09.000000,26.0,8833.0,11413.0,https://anaconda.org/conda-forge/pyvista,2020-12-10 19:09:38.280000,51607.0,True,3,31.0,,,,,,,,,,,,,,,,,,,,,,,\n293,zarr,zarr-developers/zarr-python,zarr,conda-forge/zarr,,data-containers,,https://github.com/zarr-developers/zarr-python,https://github.com/zarr-developers/zarr-python,MIT,2015-12-15 14:49:40.000000,2020-12-22 02:05:54.000000,2020-12-21 20:17:11.000000,102.0,176.0,228.0,614.0,1358.0,2020-10-06 19:59:05.000000,2.5.0,31.0,\"An implementation of chunked, compressed, N-dimensional arrays for Python.\",575.0,503.0,35.0,26,https://pypi.org/project/zarr,2020-12-02 18:33:13.000000,72.0,19951.0,29006.0,https://anaconda.org/conda-forge/zarr,2020-12-03 02:31:13.848000,507099.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n294,Mesh,tensorflow/mesh,mesh-tensorflow,,,distributed-ml,['tensorflow'],https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34.000000,2020-12-30 18:29:44.000000,2020-12-30 18:29:35.000000,113.0,72.0,12.0,602.0,570.0,2020-12-17 23:10:07.000000,0.1.18,24.0,Mesh TensorFlow: Model Parallelism Made Easier.,501.0,473.0,38.0,26,https://pypi.org/project/mesh-tensorflow,2020-12-17 23:10:07.000000,28.0,91729.0,91729.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n295,SMAC3,automl/SMAC3,smac,,,hyperopt,,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-3-Clause,2016-08-17 10:58:05.000000,2020-12-30 22:48:46.000000,2020-10-29 10:14:55.000000,153.0,76.0,250.0,549.0,1888.0,2020-10-29 10:57:56.000000,0.13.1,29.0,Sequential Model-based Algorithm Configuration.,58.0,,30.0,26,https://pypi.org/project/smac,2020-10-29 10:57:56.000000,58.0,10444.0,10444.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n296,hvPlot,holoviz/hvplot,hvplot,conda-forge/hvplot,,data-viz,,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000000,2020-12-15 10:41:07.000000,2020-11-18 20:38:19.000000,49.0,97.0,214.0,332.0,360.0,2020-12-16 22:59:26.000000,0.7.0,9.0,\"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.\",428.0,413.0,22.0,26,https://pypi.org/project/hvplot,2020-06-02 00:27:18.000000,15.0,69659.0,71548.0,https://anaconda.org/conda-forge/hvplot,2020-06-02 12:42:36.071000,54787.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n297,cloudant,cloudant/python-cloudant,cloudant,conda-forge/cloudant,,db-clients,,https://github.com/cloudant/python-cloudant,https://github.com/cloudant/python-cloudant,Apache-2.0,2015-08-28 16:22:49.000000,2020-12-18 03:57:08.000000,2020-11-25 17:20:12.000000,45.0,39.0,240.0,157.0,802.0,2020-08-18 12:14:54.000000,2.14.0,46.0,A Python library for Cloudant and CouchDB.,1785.0,1251.0,27.0,26,https://pypi.org/project/cloudant,2020-08-18 11:22:22.000000,534.0,41180.0,42539.0,https://anaconda.org/conda-forge/cloudant,2019-05-18 03:07:25.357000,70696.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n298,MMDetection,open-mmlab/mmdetection,,,,image,['pytorch'],https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000000,2021-01-01 08:00:42.000000,2020-12-29 11:20:14.000000,4435.0,379.0,2839.0,13083.0,1373.0,2020-11-30 15:29:24.000000,2.7.0,7.0,OpenMMLab Detection Toolbox and Benchmark.,18.0,18.0,182.0,25,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n299,PyTorch Image Models,rwightman/pytorch-image-models,,,,image,['pytorch'],https://github.com/rwightman/pytorch-image-models,https://github.com/rwightman/pytorch-image-models,Apache-2.0,2019-02-02 05:51:12.000000,2020-12-29 00:35:11.000000,2020-12-19 05:28:47.000000,871.0,22.0,201.0,6227.0,636.0,2020-10-26 23:59:21.000000,0.1-itjx,12.0,\"PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2,..\",229.0,229.0,25.0,25,,,,,7859.0,,,,True,3,157181.0,,,,,,,,,,,,,,,,,,,,,,,\n300,NuPIC,numenta/nupic,nupic,,,ml-frameworks,,https://github.com/numenta/nupic,https://github.com/numenta/nupic,AGPL-3.0,2013-04-05 23:14:27.000000,2020-12-11 19:56:36.000000,2019-10-23 20:45:07.000000,1585.0,456.0,1337.0,6190.0,6625.0,2018-06-01 15:37:54.000000,1.0.5,53.0,\"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..\",126.0,88.0,119.0,25,https://pypi.org/project/nupic,2018-06-01 15:37:54.000000,38.0,1620.0,1620.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n301,Trax,google/trax,trax,,,others,,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000000,2020-12-31 13:27:01.000000,2020-12-31 13:26:49.000000,509.0,53.0,98.0,5471.0,1237.0,2020-12-18 17:22:13.000000,1.3.7,20.0,Trax Deep Learning with Clear Code and Speed.,16.0,16.0,55.0,25,https://pypi.org/project/trax,2020-12-18 17:22:13.000000,,3566.0,3566.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n302,auto-sklearn,automl/auto-sklearn,auto-sklearn,,,hyperopt,['sklearn'],https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10.000000,2020-12-30 13:45:09.000000,2020-12-22 15:23:48.000000,965.0,119.0,551.0,5094.0,2399.0,2020-12-22 14:59:05.000000,0.12.1rc1,25.0,Automated Machine Learning with scikit-learn.,140.0,125.0,63.0,25,https://pypi.org/project/auto-sklearn,2020-12-22 15:24:29.000000,15.0,7354.0,7354.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n303,CleverHans,cleverhans-lab/cleverhans,cleverhans,,,adversarial,['tensorflow'],https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04.000000,2020-12-09 17:37:00.000000,2020-07-09 02:26:15.000000,1209.0,75.0,373.0,4872.0,3001.0,2018-11-27 17:36:15.000000,3.0.1,6.0,\"An adversarial example library for constructing attacks, building defenses, and benchmarking both.\",183.0,175.0,108.0,25,https://pypi.org/project/cleverhans,2018-11-27 17:36:15.000000,8.0,497.0,497.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n304,Milvus,milvus-io/milvus,pymilvus,,,nn-search,,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000000,2020-12-31 11:04:06.000000,2020-12-31 05:30:38.000000,745.0,227.0,1822.0,4840.0,6157.0,2020-12-03 09:00:58.000000,0.10.4,42.0,\"An open source embedding vector similarity search engine powered by Faiss, NMSLIB and Annoy.\",6.0,,140.0,25,https://pypi.org/project/pymilvus,2020-10-16 13:11:09.000000,6.0,5730.0,18824.0,,,,True,2,,,,milvusdb/milvus,https://hub.docker.com/r/milvusdb/milvus,2020-12-02 07:53:35.200908,9.0,209507.0,,,,,,,,,,,,,,,,\n305,Augmentor,mdbloice/Augmentor,Augmentor,,,image,,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55.000000,2020-11-10 05:20:01.000000,2020-03-09 11:32:02.000000,777.0,115.0,67.0,4267.0,511.0,2020-01-17 11:59:53.000000,0.2.8,20.0,Image augmentation library in Python for machine learning.,316.0,274.0,22.0,25,https://pypi.org/project/Augmentor,2020-01-17 11:59:53.000000,42.0,2526.0,2526.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n306,BigDL,intel-analytics/BigDL,bigdl,,,distributed-ml,,https://github.com/intel-analytics/BigDL,https://github.com/intel-analytics/BigDL,Apache-2.0,2016-08-29 07:59:50.000000,2020-12-29 06:08:45.000000,2020-12-23 08:33:44.000000,900.0,178.0,727.0,3683.0,2657.0,2020-12-06 03:04:34.000000,0.12.1,37.0,BigDL: Distributed Deep Learning Framework for Apache Spark.,26.0,20.0,71.0,25,https://pypi.org/project/bigdl,2020-12-29 06:08:45.000000,6.0,1190.0,1190.0,,,,True,2,,,,,,,,,,,,,,,,,,,com.intel.analytics.bigdl:bigdl-SPARK_2.4,https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4,2020-12-05 03:54:47.000000,0.0,,\n307,pyfolio,quantopian/pyfolio,pyfolio,conda-forge/pyfolio,,financial-data,,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39.000000,2020-07-29 16:06:37.000000,2020-07-15 13:46:58.000000,1010.0,119.0,263.0,3341.0,1184.0,2019-04-15 14:54:03.000000,0.9.1,21.0,Portfolio and risk analytics in Python.,214.0,187.0,55.0,25,https://pypi.org/project/pyfolio,2019-04-15 14:54:03.000000,27.0,6091.0,6244.0,https://anaconda.org/conda-forge/pyfolio,2020-05-16 14:11:57.267000,5360.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n308,espnet,espnet/espnet,espnet,,,audio,,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000000,2020-12-30 06:16:24.000000,2020-12-29 04:23:49.000000,1013.0,111.0,1014.0,3258.0,10275.0,2020-12-01 12:18:22.000000,0.9.6,31.0,End-to-End Speech Processing Toolkit.,4.0,4.0,134.0,25,https://pypi.org/project/espnet,2020-12-01 12:18:22.000000,0.0,1291.0,1292.0,,,,True,3,59.0,,,,,,,,,,,,,,,,,,,,,,,\n309,ftfy,LuminosoInsight/python-ftfy,ftfy,conda-forge/ftfy,,nlp,,https://github.com/LuminosoInsight/python-ftfy,https://github.com/LuminosoInsight/python-ftfy,MIT,2012-08-24 16:14:59.000000,2020-08-21 18:13:12.000000,2020-07-17 21:21:57.000000,98.0,14.0,92.0,2861.0,510.0,2020-02-18 16:42:00.000000,5.6.1,41.0,\"Fixes mojibake and other glitches in Unicode text, after the fact.\",3305.0,2545.0,17.0,25,https://pypi.org/project/ftfy,2020-07-20 21:50:51.000000,760.0,272182.0,274257.0,https://anaconda.org/conda-forge/ftfy,2019-02-03 00:23:45.610000,93391.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n310,AutoGluon,awslabs/autogluon,autogluon,,,hyperopt,['mxnet'],https://github.com/awslabs/autogluon,https://github.com/awslabs/autogluon,Apache-2.0,2019-07-29 18:51:24.000000,2021-01-01 09:25:53.000000,2021-01-01 03:27:40.000000,370.0,150.0,215.0,2856.0,451.0,2020-12-08 19:01:22.000000,0.0.15,283.0,\"AutoGluon: AutoML for Text, Image, and Tabular Data.\",42.0,42.0,50.0,25,https://pypi.org/project/autogluon,2021-01-01 09:25:53.000000,0.0,19051.0,19051.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n311,nevergrad,facebookresearch/nevergrad,nevergrad,conda-forge/nevergrad,,hyperopt,,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000000,2021-01-01 10:34:39.000000,2020-12-31 13:45:42.000000,266.0,75.0,114.0,2774.0,737.0,2020-08-04 12:13:07.000000,0.4.2,25.0,A Python toolbox for performing gradient-free optimization.,121.0,107.0,41.0,25,https://pypi.org/project/nevergrad,2020-12-10 15:37:29.000000,14.0,7267.0,7873.0,https://anaconda.org/conda-forge/nevergrad,2020-12-14 18:21:29.267000,5459.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n312,Stable Baselines,hill-a/stable-baselines,stable-baselines,,,reinforcement-learning,,https://github.com/hill-a/stable-baselines,https://github.com/hill-a/stable-baselines,MIT,2018-07-02 14:28:59.000000,2020-12-30 15:28:45.000000,2020-12-23 16:27:08.000000,545.0,116.0,708.0,2734.0,835.0,2020-08-05 19:45:11.000000,2.10.1,30.0,\"A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.\",25.0,,110.0,25,https://pypi.org/project/stable-baselines,2020-08-05 19:42:14.000000,25.0,8850.0,8850.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n313,DoWhy,Microsoft/dowhy,dowhy,conda-forge/dowhy,,interpretability,,https://github.com/microsoft/dowhy,https://github.com/microsoft/dowhy,MIT,2018-05-31 13:07:04.000000,2020-12-24 16:07:22.000000,2020-12-24 16:07:21.000000,356.0,12.0,78.0,2561.0,418.0,2020-12-12 15:26:03.000000,0.5.1,5.0,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,23.0,23.0,37.0,25,https://pypi.org/project/dowhy,2020-12-12 15:26:03.000000,,8066.0,8171.0,https://anaconda.org/conda-forge/dowhy,2020-12-13 07:46:12.761000,840.0,True,2,17.0,,,,,,,,,,,,,,,,,,,,,,,\n314,Pony,ponyorm/pony,pony,conda-forge/pony,,db-clients,,https://github.com/ponyorm/pony,https://github.com/ponyorm/pony,Apache-2.0,2013-02-08 04:56:00.000000,2020-12-24 12:38:50.000000,2020-11-23 17:42:03.000000,188.0,235.0,299.0,2413.0,,2020-11-23 19:13:28.000000,0.7.14,44.0,Pony Object Relational Mapper.,2172.0,1634.0,20.0,25,https://pypi.org/project/pony,2020-11-23 18:56:34.000000,538.0,19841.0,20741.0,https://anaconda.org/conda-forge/pony,2020-11-23 21:18:14.049000,43221.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n315,Neural Network Libraries,sony/nnabla,nnabla,,,ml-frameworks,,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10.000000,2020-12-29 03:30:51.000000,2020-12-29 03:30:50.000000,303.0,35.0,18.0,2393.0,2227.0,2020-12-24 02:44:34.000000,1.15.0,51.0,Neural Network Libraries.,34.0,,55.0,25,https://pypi.org/project/nnabla,2020-12-24 02:44:34.000000,34.0,3393.0,3405.0,,,,True,3,506.0,,,,,,,,,,,,,,,,,,,,,,,\n316,Captum,pytorch/captum,captum,,,interpretability,['pytorch'],https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000000,2021-01-01 10:51:32.000000,2020-12-30 23:22:28.000000,192.0,44.0,130.0,2017.0,777.0,2020-11-13 23:52:08.000000,0.3.0,4.0,Model interpretability and understanding for PyTorch.,97.0,97.0,66.0,25,https://pypi.org/project/captum,2020-11-13 20:23:21.000000,,7953.0,7953.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n317,fastNLP,fastnlp/fastNLP,fastnlp,,,nlp,,https://github.com/fastnlp/fastNLP,https://github.com/fastnlp/fastNLP,Apache-2.0,2018-03-07 13:30:20.000000,2020-12-16 10:04:23.000000,2020-11-23 10:50:37.000000,343.0,14.0,127.0,1953.0,1706.0,2020-11-06 15:31:29.000000,0.6.0,10.0,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,22.0,21.0,48.0,25,https://pypi.org/project/fastnlp,2019-02-04 02:35:37.000000,1.0,1258.0,1260.0,,,,True,2,54.0,,,,,,,,,,,,,,,,,,,,,,,\n318,TextDistance,life4/textdistance,textdistance,conda-forge/textdistance,,nlp,,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10.000000,2020-12-31 21:07:32.000000,2020-04-13 10:34:26.000000,157.0,9.0,,1846.0,289.0,2020-04-13 10:17:59.000000,.4.2.0,20.0,\"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..\",304.0,276.0,7.0,25,https://pypi.org/project/textdistance,2020-04-13 09:59:27.000000,28.0,105438.0,105887.0,https://anaconda.org/conda-forge/textdistance,2020-11-10 18:38:06.222000,14311.0,True,2,96.0,,,,,,,,,,,,,,,,,,,,,,,\n319,Jina,jina-ai/jina,jina,,,nlp,,https://github.com/jina-ai/jina,https://github.com/jina-ai/jina,Apache-2.0,2020-02-13 17:04:44.000000,2021-01-01 11:03:54.000000,2020-12-31 23:24:26.000000,305.0,40.0,510.0,1795.0,4292.0,2020-12-28 12:56:07.000000,0.8.16,104.0,An easier way to build neural search in the cloud.,42.0,42.0,77.0,25,https://pypi.org/project/jina,2020-12-28 17:21:26.000000,,1443.0,7280.0,,,,True,2,,,,jinaai/jina,https://hub.docker.com/r/jinaai/jina,2020-12-31 10:08:04.118131,,64210.0,,,,,,,,,,,,,,,,\n320,spark-nlp,JohnSnowLabs/spark-nlp,spark-nlp,,,nlp,['spark'],https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000000,2020-12-31 16:08:41.000000,2020-12-31 16:08:40.000000,388.0,78.0,312.0,1780.0,5135.0,2020-12-15 17:22:19.000000,2.6.5,70.0,State of the Art Natural Language Processing.,0.0,,71.0,25,https://pypi.org/project/spark-nlp,2020-12-15 17:14:39.000000,0.0,364395.0,364395.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n321,HyperTools,ContextLab/hypertools,hypertools,,,data-viz,,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25.000000,2020-12-28 12:39:27.000000,2020-12-28 12:39:26.000000,151.0,69.0,120.0,1602.0,1567.0,2020-10-02 21:38:16.000000,0.6.3,19.0,A Python toolbox for gaining geometric insights into high-dimensional data.,99.0,90.0,21.0,25,https://pypi.org/project/hypertools,2020-10-02 21:41:53.000000,9.0,362.0,362.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n322,category_encoders,scikit-learn-contrib/category_encoders,category_encoders,conda-forge/category_encoders,,others,['sklearn'],https://github.com/scikit-learn-contrib/category_encoders,https://github.com/scikit-learn-contrib/category_encoders,BSD-3-Clause,2015-11-29 19:32:37.000000,2020-11-10 15:17:22.000000,2020-07-31 10:43:44.000000,291.0,62.0,134.0,1540.0,671.0,2020-04-29 02:09:51.000000,2.2.2,19.0,A library of sklearn compatible categorical variable encoders.,23.0,,34.0,25,https://pypi.org/project/category_encoders,2018-10-14 14:15:54.000000,23.0,326416.0,328097.0,https://anaconda.org/conda-forge/category_encoders,2020-04-29 22:37:35.948000,90776.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n323,Pythran,serge-sans-paille/pythran,pythran,conda-forge/pythran,,others,,https://github.com/serge-sans-paille/pythran,https://github.com/serge-sans-paille/pythran,BSD-3-Clause,2012-05-29 08:02:14.000000,2020-12-31 12:10:55.000000,2020-12-31 07:33:38.000000,134.0,99.0,535.0,1491.0,3300.0,2020-12-09 20:06:55.000000,0.9.8,44.0,Ahead of Time compiler for numeric kernels.,60.0,47.0,47.0,25,https://pypi.org/project/pythran,2020-12-11 23:02:35.000000,13.0,1614.0,5367.0,https://anaconda.org/conda-forge/pythran,2020-12-15 13:25:04.645000,120126.0,True,2,,,,,,,,,,,,,,,,,,,,,,,pythran,python-pythran\n324,swifter,jmcarpenter2/swifter,swifter,conda-forge/swifter,,data-containers,['pandas'],https://github.com/jmcarpenter2/swifter,https://github.com/jmcarpenter2/swifter,MIT,2018-04-07 21:37:19.000000,2020-12-19 19:11:45.000000,2020-12-19 19:11:44.000000,68.0,14.0,76.0,1488.0,423.0,2020-10-11 22:42:57.000000,1.0.7,71.0,A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner.,285.0,269.0,14.0,25,https://pypi.org/project/swifter,2020-10-11 22:42:57.000000,16.0,52988.0,56453.0,https://anaconda.org/conda-forge/swifter,2020-09-20 15:08:56.885000,72769.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n325,streamparse,Parsely/streamparse,streamparse,,,data-pipelines,,https://github.com/Parsely/streamparse,https://github.com/Parsely/streamparse,Apache-2.0,2014-05-02 20:33:50.000000,2020-12-18 18:44:04.000000,2020-12-18 18:43:59.000000,219.0,69.0,263.0,1422.0,1059.0,2020-10-07 19:53:15.000000,4.0.0,47.0,\"Run Python in Apache Storm topologies. Pythonic API, CLI tooling, and a topology DSL.\",72.0,46.0,40.0,25,https://pypi.org/project/streamparse,2020-10-07 19:45:19.000000,26.0,1672.0,1672.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n326,chainercv,chainer/chainercv,chainercv,,,image,,https://github.com/chainer/chainercv,https://github.com/chainer/chainercv,MIT,2017-02-13 04:15:10.000000,2020-02-03 01:27:17.000000,2020-01-07 11:48:31.000000,318.0,54.0,168.0,1414.0,4930.0,2019-06-12 11:55:02.000000,0.13.1,23.0,ChainerCV: a Library for Deep Learning in Computer Vision.,234.0,210.0,39.0,25,https://pypi.org/project/chainercv,2019-05-31 08:53:39.000000,24.0,3724.0,3724.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n327,jellyfish,jamesturk/jellyfish,jellyfish,conda-forge/jellyfish,,nlp,,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,BSD-2-Clause,2010-07-09 20:41:11.000000,2020-12-30 16:47:14.000000,2020-12-30 16:47:13.000000,119.0,9.0,86.0,1381.0,,2020-05-21 20:37:01.000000,0.8.2,27.0,a python library for doing approximate and phonetic matching of strings.,2609.0,1963.0,20.0,25,https://pypi.org/project/jellyfish,2020-05-21 20:37:01.000000,646.0,782944.0,784971.0,https://anaconda.org/conda-forge/jellyfish,2020-10-10 13:37:43.217000,105444.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n328,Ax,facebook/Ax,ax-platform,,,hyperopt,['pytorch'],https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000000,2021-01-01 05:44:11.000000,2020-12-31 05:16:16.000000,137.0,32.0,172.0,1356.0,892.0,2020-12-08 19:07:48.000000,0.1.19,20.0,Adaptive Experimentation Platform.,119.0,115.0,89.0,25,https://pypi.org/project/ax-platform,2020-12-08 19:07:48.000000,4.0,17031.0,17031.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n329,TFX,tensorflow/tfx,tfx,,,data-pipelines,['tensorflow'],https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000000,2021-01-01 04:05:42.000000,2020-12-30 03:14:18.000000,366.0,200.0,301.0,1268.0,2978.0,2020-11-19 21:33:15.000000,0.25.0,37.0,TFX is an end-to-end platform for deploying production ML pipelines.,2.0,,96.0,25,https://pypi.org/project/tfx,2020-11-19 21:33:15.000000,2.0,89704.0,89704.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n330,haystack,deepset-ai/haystack,haystack,,,nlp,,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000000,2020-12-31 14:04:14.000000,2020-12-31 14:04:13.000000,210.0,53.0,340.0,1216.0,476.0,2020-12-17 06:53:05.000000,0.6.0,34.0,Transformers at scale for question answering & neural search. Using NLP via a modular Retriever-Reader-Pipeline...,97.0,23.0,28.0,25,https://pypi.org/project/haystack,2017-07-03 04:44:52.000000,74.0,4158.0,4158.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n331,ViZDoom,mwydmuch/ViZDoom,vizdoom,,,reinforcement-learning,,https://github.com/mwydmuch/ViZDoom,https://github.com/mwydmuch/ViZDoom,MIT,2015-06-26 18:38:23.000000,2020-12-16 10:27:24.000000,2020-12-16 10:26:56.000000,276.0,88.0,327.0,1145.0,1459.0,2020-10-29 15:54:47.000000,1.1.8,19.0,Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information.,108.0,96.0,43.0,25,https://pypi.org/project/vizdoom,2020-10-29 15:56:20.000000,12.0,420.0,597.0,,,,True,2,10290.0,,,,,,,,,,,,,,,,,,,,,,,\n332,ArcGIS API,Esri/arcgis-python-api,arcgis,,,geospatial-data,,https://github.com/Esri/arcgis-python-api,https://github.com/Esri/arcgis-python-api,Apache-2.0,2016-03-16 01:09:14.000000,2020-12-30 11:17:26.000000,2020-12-18 15:18:27.000000,676.0,125.0,189.0,929.0,2857.0,2020-12-15 21:49:37.000000,1.8.3,25.0,Documentation and samples for ArcGIS API for Python.,10.0,,60.0,25,https://pypi.org/project/arcgis,2020-11-30 16:13:47.000000,10.0,19557.0,19619.0,,,,True,3,,,,esridocker/arcgis-api-python-notebook,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,2020-03-06 00:53:45.164342,29.0,3602.0,,,,,,,,,,,,,,,,\n333,kmodes,nicodv/kmodes,kmodes,,,others,,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40.000000,2020-11-04 05:52:59.000000,2020-11-04 05:52:58.000000,335.0,19.0,106.0,791.0,448.0,2020-02-25 21:38:29.000000,0.10.2,12.0,\"Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data.\",408.0,395.0,16.0,25,https://pypi.org/project/kmodes,2020-02-25 21:30:28.000000,13.0,60057.0,60057.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n334,empyrical,quantopian/empyrical,empyrical,conda-forge/empyrical,,financial-data,,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52.000000,2020-10-14 13:28:13.625000,2020-10-14 13:22:39.000000,213.0,27.0,26.0,673.0,167.0,2020-10-13 21:28:25.000000,0.5.5,20.0,Common financial risk and performance metrics. Used by zipline and pyfolio.,709.0,487.0,22.0,25,https://pypi.org/project/empyrical,2020-10-13 17:31:37.000000,222.0,18519.0,18772.0,https://anaconda.org/conda-forge/empyrical,2020-10-14 13:28:13.625000,8858.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n335,Satpy,pytroll/satpy,satpy,conda-forge/satpy,,geospatial-data,,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000000,2020-12-31 14:45:18.000000,2020-12-29 14:23:27.000000,190.0,303.0,284.0,657.0,8110.0,2020-11-16 09:48:15.000000,0.24.0,61.0,Python package for earth-observing satellite data processing.,43.0,37.0,102.0,25,https://pypi.org/project/satpy,2020-11-16 09:48:15.000000,6.0,535.0,2239.0,https://anaconda.org/conda-forge/satpy,2020-11-16 12:26:04.352000,51148.0,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n336,CLTK,cltk/cltk,cltk,,,nlp,,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000000,2020-12-31 21:42:52.000000,2020-12-31 21:42:27.000000,295.0,126.0,357.0,627.0,2771.0,2020-06-22 06:03:33.000000,0.1.121,159.0,The Classical Language Toolkit.,216.0,148.0,107.0,25,https://pypi.org/project/cltk,2020-12-03 17:29:28.000000,68.0,1266.0,1266.0,,,,True,2,22.0,,,,,,,,,,,,,,,,,,,,,,,\n337,micawber,coleifer/micawber,micawber,,,web-scraping,,https://github.com/coleifer/micawber,https://github.com/coleifer/micawber,MIT,2012-03-27 21:42:46.000000,2020-12-18 12:01:44.000000,2020-12-18 12:01:43.000000,78.0,,52.0,512.0,192.0,2020-12-17 15:44:56.000000,0.5.2,22.0,a small library for extracting rich content from urls.,856.0,484.0,26.0,25,https://pypi.org/project/micawber,2020-12-17 15:44:56.000000,372.0,5056.0,5056.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n338,TensorFlow I/O,tensorflow/io,tensorflow-io,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05.000000,2020-12-30 08:45:09.000000,2020-12-27 19:13:28.000000,143.0,118.0,260.0,397.0,1322.0,2020-12-15 00:45:37.000000,0.17.0,21.0,\"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.\",88.0,88.0,70.0,25,https://pypi.org/project/tensorflow-io,2020-12-15 00:42:35.000000,0.0,46987.0,46987.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n339,mpi4py,mpi4py/mpi4py,mpi4py,conda-forge/mpi4py,,distributed-ml,,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-3-Clause,2013-09-05 14:44:25.000000,2020-12-31 10:42:55.938000,2020-12-22 10:28:24.000000,60.0,1.0,3.0,366.0,2173.0,2020-07-27 06:40:19.000000,3.0.3,13.0,Python bindings for MPI.,700.0,,13.0,25,https://pypi.org/project/mpi4py,2019-11-04 13:05:10.000000,700.0,157931.0,167410.0,https://anaconda.org/conda-forge/mpi4py,2020-12-31 10:42:55.938000,490957.0,True,2,229.0,,,,,,,,,,,,,,,,,,,,,,,\n340,python-soundfile,bastibe/python-soundfile,soundfile,,,audio,,https://github.com/bastibe/python-soundfile,https://github.com/bastibe/python-soundfile,BSD-3-Clause,2013-08-27 13:36:52.000000,2020-12-02 15:07:22.000000,2020-12-01 18:42:47.000000,40.0,56.0,83.0,348.0,493.0,2019-12-04 10:03:39.000000,0.10.3post1,7.0,\"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.\",5859.0,5119.0,19.0,25,https://pypi.org/project/soundfile,2018-04-19 07:13:19.000000,740.0,364555.0,364578.0,,,,True,3,1975.0,,,,,,,,,,,,,,,,,,,,,,,\n341,Altair,ellisonbg/altair,altair,conda-forge/altair,,data-viz,,https://github.com/ellisonbg/altair,https://github.com/ellisonbg/altair,BSD-3-Clause,2016-07-11 22:34:25.761000,2020-04-01 16:49:36.519000,2018-05-18 19:10:50.000000,19.0,,,245.0,1802.0,2020-04-01 13:23:10.000000,4.1.0,26.0,Declarative statistical visualization library for Python.,370.0,,50.0,25,https://pypi.org/project/altair,2020-04-01 13:23:10.000000,370.0,670211.0,680763.0,https://anaconda.org/conda-forge/altair,2020-04-01 16:49:36.519000,569852.0,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n342,ml-metadata,google/ml-metadata,ml-metadata,,,ml-experiments,,https://github.com/google/ml-metadata,https://github.com/google/ml-metadata,Apache-2.0,2019-01-15 21:02:09.000000,2020-12-16 21:22:19.000000,2020-12-16 21:22:13.000000,56.0,16.0,36.0,216.0,449.0,2020-12-15 18:49:42.000000,0.26.0,21.0,For recording and retrieving metadata associated with ML developer and data scientist workflows.,60.0,60.0,11.0,25,https://pypi.org/project/ml-metadata,2020-12-15 18:49:42.000000,0.0,540614.0,540667.0,,,,True,3,1171.0,,,,,,,,,,,,,,,,,,,,,,,\n343,pysc2,deepmind/pysc2,pysc2,,,others,,https://github.com/deepmind/pysc2,https://github.com/deepmind/pysc2,Apache-2.0,2017-07-25 18:16:57.000000,2020-07-29 16:22:31.000000,2019-09-27 15:23:22.000000,1059.0,47.0,202.0,7134.0,513.0,2019-09-27 15:48:01.000000,3.0.0,7.0,StarCraft II Learning Environment.,235.0,215.0,34.0,24,https://pypi.org/project/pysc2,2019-09-27 15:48:01.000000,20.0,664.0,1281.0,,,,False,2,25304.0,,,,,,,,,,,,,,,,,,,,,,,\n344,ParlAI,facebookresearch/ParlAI,parlai,,,nlp,['pytorch'],https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44.000000,2020-12-30 14:00:33.000000,2020-12-30 14:00:32.000000,1374.0,111.0,802.0,6877.0,3559.0,2020-12-16 23:15:51.000000,0.10.0,12.0,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,5.0,5.0,135.0,24,https://pypi.org/project/parlai,2020-12-16 23:15:51.000000,,783.0,783.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n345,PyText,facebookresearch/pytext,pytext-nlp,,,nlp,['pytorch'],https://github.com/facebookresearch/pytext,https://github.com/facebookresearch/pytext,BSD-3-Clause,2018-07-31 23:40:46.000000,2020-12-31 21:39:03.000000,2020-12-31 21:38:54.000000,759.0,115.0,74.0,6103.0,1340.0,2020-06-08 23:30:58.000000,0.3.3,12.0,A natural language modeling framework based on PyTorch.,53.0,52.0,147.0,24,https://pypi.org/project/pytext-nlp,2020-04-27 08:09:25.000000,1.0,345.0,353.0,,,,True,3,209.0,,,,,,,,,,,,,,,,,,,,,,,\n346,EfficientNet-PyTorch,lukemelas/EfficientNet-PyTorch,efficientnet-pytorch,,,pytorch-utils,['pytorch'],https://github.com/lukemelas/EfficientNet-PyTorch,https://github.com/lukemelas/EfficientNet-PyTorch,Apache-2.0,2019-05-30 05:24:11.000000,2020-12-28 15:43:30.000000,2020-10-09 16:24:04.000000,1024.0,99.0,116.0,5269.0,141.0,2020-08-26 03:00:05.000000,0.7.0,12.0,A PyTorch implementation of EfficientNet.,7.0,,21.0,24,https://pypi.org/project/efficientnet-pytorch,2020-08-26 03:00:05.000000,7.0,33329.0,61147.0,,,,True,1,278189.0,,,,,,,,,,,,,,,,,,,,,,,\n347,stanza,stanfordnlp/stanza,stanza,stanfordnlp/stanza,,nlp,,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56.000000,2020-12-31 20:46:45.000000,2020-12-29 18:00:47.000000,625.0,69.0,358.0,5051.0,1515.0,2020-08-13 06:26:20.000000,1.1.1,9.0,Official Stanford NLP Python Library for Many Human Languages.,2.0,,28.0,24,https://pypi.org/project/stanza,2020-08-13 06:08:07.000000,2.0,14187.0,14475.0,https://anaconda.org/stanfordnlp/stanza,2020-08-13 06:22:54.550000,2889.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n348,Edward,blei-lab/edward,edward,,,probabilistics,['tensorflow'],https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05.000000,2019-10-22 20:30:48.000000,2018-07-25 01:28:08.000000,767.0,212.0,327.0,4586.0,1796.0,2018-01-22 06:03:37.000000,1.3.5,28.0,\"A probabilistic programming language in TensorFlow. Deep generative models, variational inference.\",241.0,204.0,87.0,24,https://pypi.org/project/edward,2018-01-22 06:03:05.000000,37.0,1001.0,1001.0,,,,False,3,10.0,,,,,,,,,,,,,,,,,,,,,,,\n349,PyTorch3D,facebookresearch/pytorch3d,pytorch3d,pytorch3d/pytorch3d,,image,['pytorch'],https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,MIT,2019-10-25 02:23:45.000000,2020-12-27 21:14:54.000000,2020-12-27 21:14:42.000000,454.0,56.0,393.0,4163.0,335.0,2020-11-12 10:28:29.000000,0.3.0,6.0,PyTorch3D is FAIR's library of reusable components for deep learning with 3D data.,38.0,38.0,50.0,24,https://pypi.org/project/pytorch3d,2020-11-12 10:28:29.000000,,4605.0,4982.0,https://anaconda.org/pytorch3d/pytorch3d,2020-11-12 10:28:27.832000,5288.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n350,Lucid,tensorflow/lucid,lucid,,,interpretability,['tensorflow'],https://github.com/tensorflow/lucid,https://github.com/tensorflow/lucid,Apache-2.0,2018-01-25 17:41:44.000000,2020-12-14 12:53:11.000000,2020-11-24 20:56:27.000000,546.0,67.0,93.0,4016.0,632.0,2019-01-17 19:46:43.000000,0.3.9-alpha,16.0,A collection of infrastructure and tools for research in neural network interpretability.,387.0,381.0,34.0,24,https://pypi.org/project/lucid,2018-12-20 00:26:11.000000,6.0,596.0,596.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n351,TensorFlowOnSpark,yahoo/TensorFlowOnSpark,tensorflowonspark,,,distributed-ml,\"['tensorflow', 'spark']\",https://github.com/yahoo/TensorFlowOnSpark,https://github.com/yahoo/TensorFlowOnSpark,Apache-2.0,2017-01-20 18:15:57.000000,2020-12-23 22:10:27.000000,2020-12-21 19:10:28.000000,928.0,6.0,336.0,3610.0,589.0,2020-12-18 21:57:51.000000,2.2.2,29.0,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,5.0,,33.0,24,https://pypi.org/project/tensorflowonspark,2020-12-18 18:32:09.000000,5.0,41855.0,41855.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n352,torchdiffeq,rtqichen/torchdiffeq,torchdiffeq,,,pytorch-utils,['pytorch'],https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25.000000,2020-12-24 19:36:04.000000,2020-12-24 19:36:03.000000,553.0,21.0,95.0,3293.0,189.0,2020-09-16 23:32:05.000000,0.1.1,3.0,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,54.0,54.0,20.0,24,https://pypi.org/project/torchdiffeq,2020-09-16 23:32:05.000000,,1761.0,1761.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n353,T5,google-research/text-to-text-transfer-transformer,t5,,,nlp,['tensorflow'],https://github.com/google-research/text-to-text-transfer-transformer,https://github.com/google-research/text-to-text-transfer-transformer,Apache-2.0,2019-10-17 21:45:14.000000,2020-12-30 18:59:14.000000,2020-12-30 18:59:03.000000,407.0,38.0,276.0,3084.0,392.0,2020-12-18 21:12:02.000000,0.8.1,25.0,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,18.0,18.0,28.0,24,https://pypi.org/project/t5,2020-12-18 21:12:02.000000,0.0,6409.0,6409.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n354,pytorch-summary,sksq96/pytorch-summary,torchsummary,,,pytorch-utils,['pytorch'],https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04.000000,2020-09-11 22:33:42.000000,2020-08-07 01:16:40.000000,333.0,100.0,36.0,2838.0,56.0,2018-09-26 05:07:28.000000,1.5.1,12.0,Model summary in PyTorch similar to `model.summary()` in Keras.,1812.0,1694.0,11.0,24,https://pypi.org/project/torchsummary,2018-09-26 05:07:28.000000,118.0,31617.0,31617.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n355,TensorForce,tensorforce/tensorforce,tensorforce,,,reinforcement-learning,['tensorflow'],https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22.000000,2020-12-30 11:17:02.000000,2020-12-30 11:16:54.000000,472.0,7.0,538.0,2829.0,2011.0,2020-10-03 16:00:39.000000,0.6.2,12.0,Tensorforce: a TensorFlow library for applied reinforcement learning.,23.0,,76.0,24,https://pypi.org/project/tensorforce,2019-09-07 13:56:18.000000,23.0,980.0,980.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n356,xLearn,aksnzhy/xlearn,xlearn,,,ml-frameworks,,https://github.com/aksnzhy/xlearn,https://github.com/aksnzhy/xlearn,Apache-2.0,2017-06-10 08:09:31.000000,2020-07-06 19:54:25.000000,2020-03-03 10:12:35.000000,479.0,177.0,107.0,2814.0,1340.0,2019-04-25 02:10:05.000000,0.4.4,15.0,\"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..\",39.0,38.0,30.0,24,https://pypi.org/project/xlearn,2018-12-04 11:05:06.000000,1.0,8480.0,8544.0,,,,True,3,2206.0,,,,,,,,,,,,,,,,,,,,,,,\n357,Chartify,spotify/chartify,chartify,conda-forge/chartify,,data-viz,,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05.000000,2020-12-25 03:48:39.000000,2020-11-02 22:11:04.000000,245.0,40.0,30.0,2797.0,186.0,2020-11-02 22:14:08.000000,3.0.3,16.0,Python library that makes it easy for data scientists to create charts.,57.0,52.0,19.0,24,https://pypi.org/project/chartify,2020-11-02 22:14:08.000000,5.0,7233.0,7678.0,https://anaconda.org/conda-forge/chartify,2020-11-07 19:52:50.628000,11583.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n358,DeepChem,deepchem/deepchem,deepchem,,,others,['tensorflow'],https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000000,2020-12-30 15:15:21.000000,2020-12-29 03:48:58.000000,889.0,326.0,837.0,2624.0,6016.0,2019-10-11 01:49:20.000000,2.3.0,191.0,\"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.\",37.0,33.0,144.0,24,https://pypi.org/project/deepchem,2020-12-29 03:51:13.000000,4.0,1923.0,1923.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n359,Sumy,miso-belica/sumy,sumy,,,nlp,,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48.000000,2020-11-21 17:08:35.000000,2020-11-21 17:08:33.000000,433.0,10.0,78.0,2447.0,397.0,2019-05-19 14:39:21.000000,0.8.1,13.0,Module for automatic summarization of text documents and HTML pages.,808.0,616.0,20.0,24,https://pypi.org/project/sumy,2019-05-19 14:38:29.000000,192.0,6892.0,6892.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n360,Arctic,man-group/arctic,arctic,conda-forge/arctic,,data-containers,,https://github.com/man-group/arctic,https://github.com/man-group/arctic,LGPL-2.1,2015-05-29 13:37:30.000000,2020-12-28 16:10:11.000000,2020-12-28 16:10:10.000000,428.0,84.0,420.0,2123.0,1066.0,2020-12-01 23:17:26.000000,1.79.4,83.0,Arctic is a high performance datastore for numeric data.,143.0,101.0,70.0,24,https://pypi.org/project/arctic,2020-12-01 23:16:12.000000,42.0,2776.0,3378.0,https://anaconda.org/conda-forge/arctic,2019-12-16 08:57:24.231000,12022.0,False,3,85.0,,,,,,,,,,,,,,,,,,,,,,,\n361,Hyperas,maxpumperla/hyperas,hyperas,,,hyperopt,['tensorflow'],https://github.com/maxpumperla/hyperas,https://github.com/maxpumperla/hyperas,MIT,2016-02-19 14:45:10.000000,2020-12-22 08:31:48.000000,2020-12-22 08:31:47.000000,296.0,88.0,158.0,2056.0,209.0,2019-02-28 09:16:54.000000,0.4.1,9.0,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,21.0,,21.0,24,https://pypi.org/project/hyperas,2019-02-28 09:16:54.000000,21.0,14337.0,14337.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n362,SRU,asappresearch/sru,sru,,,pytorch-utils,['pytorch'],https://github.com/asappresearch/sru,https://github.com/asappresearch/sru,MIT,2017-08-28 20:37:41.000000,2020-12-17 19:41:19.000000,2020-12-17 19:36:53.000000,279.0,48.0,53.0,1859.0,378.0,2020-12-17 19:40:55.000000,2.6.0-rc1,21.0,Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755).,16.0,15.0,21.0,24,https://pypi.org/project/sru,2020-12-17 19:41:19.000000,1.0,2511.0,2511.0,,,,True,1,,,,,,,,,,,,,,,,,,,,,,,,\n363,mongo-connector,yougov/mongo-connector,mongo-connector,,,db-clients,,https://github.com/yougov/mongo-connector,https://github.com/yougov/mongo-connector,Apache-2.0,2012-08-09 23:39:36.000000,2020-08-03 08:07:40.000000,2018-12-05 18:23:06.000000,453.0,227.0,504.0,1759.0,1112.0,2018-12-05 19:18:21.000000,3.1.1,51.0,MongoDB data stream pipeline tools by YouGov (adopted from MongoDB).,119.0,90.0,62.0,24,https://pypi.org/project/mongo-connector,2018-12-05 19:18:21.000000,29.0,2977.0,2977.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n364,polyglot,aboSamoor/polyglot,polyglot,,,nlp,,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,GPL-3.0,2014-06-30 02:07:45.000000,2020-10-27 10:55:53.000000,2020-09-22 22:35:28.000000,292.0,132.0,62.0,1738.0,271.0,2016-07-03 20:05:42.000000,16.7.4,8.0,Multilingual text (NLP) processing toolkit.,479.0,414.0,26.0,24,https://pypi.org/project/polyglot,2016-07-03 20:05:42.000000,65.0,40214.0,40214.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n365,StellarGraph,stellargraph/stellargraph,stellargraph,,,graph,['tensorflow'],https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51.000000,2020-12-20 18:59:43.000000,2020-07-21 04:03:09.000000,244.0,211.0,693.0,1700.0,2515.0,2020-06-30 05:15:21.000000,1.2.1,25.0,StellarGraph - Machine Learning on Graphs.,42.0,40.0,28.0,24,https://pypi.org/project/stellargraph,2020-06-25 09:38:56.000000,2.0,7799.0,7799.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n366,Alphalens,quantopian/alphalens,alphalens,conda-forge/alphalens,,financial-data,,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15.000000,2020-09-05 16:48:14.000000,2020-04-27 18:40:41.000000,617.0,38.0,144.0,1677.0,522.0,2020-04-30 15:42:52.000000,0.4.0,10.0,Performance analysis of predictive (alpha) stock factors.,357.0,343.0,25.0,24,https://pypi.org/project/alphalens,2020-04-27 21:03:10.000000,14.0,1860.0,2149.0,https://anaconda.org/conda-forge/alphalens,2020-05-16 13:52:44.922000,10141.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n367,pgmpy,pgmpy/pgmpy,pgmpy,,,probabilistics,,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000000,2021-01-01 11:27:49.000000,2021-01-01 11:27:48.000000,556.0,226.0,488.0,1661.0,6.0,2020-12-30 13:56:53.000000,0.1.13,12.0,Python Library for learning (Structure and Parameter) and inference (Statistical and Causal) in Bayesian Networks.,185.0,173.0,88.0,24,https://pypi.org/project/pgmpy,2020-12-30 13:01:04.000000,12.0,22329.0,22334.0,,,,True,3,37.0,,,,,,,,,,,,,,,,,,,,,,,\n368,TorchServe,pytorch/serve,torchserve,pytorch/torchserve,,model-serialisation,['pytorch'],https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000000,2021-01-01 03:13:48.000000,2020-12-24 17:08:51.000000,214.0,130.0,392.0,1480.0,1034.0,2020-12-18 01:38:41.000000,0.3.0,6.0,Model Serving on PyTorch.,24.0,24.0,61.0,24,https://pypi.org/project/torchserve,2020-12-17 19:04:04.000000,,1455.0,5369.0,https://anaconda.org/pytorch/torchserve,2020-12-17 18:30:12.593000,5561.0,True,2,138.0,,,pytorch/torchserve,https://hub.docker.com/r/pytorch/torchserve,2020-12-18 18:32:51.570336,3.0,49237.0,,,,,,,,,,,,,,,,\n369,PyTextRank,DerwenAI/pytextrank,pytextrank,,,nlp,,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000000,2020-11-18 14:09:32.000000,2020-09-21 19:22:46.000000,280.0,15.0,37.0,1378.0,147.0,2020-09-15 16:51:59.000000,2.0.3,10.0,Python implementation of TextRank for phrase extraction and summarization of text documents.,125.0,119.0,10.0,24,https://pypi.org/project/pytextrank,2020-09-15 16:51:59.000000,6.0,11871.0,11871.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n370,mtcnn,ipazc/mtcnn,mtcnn,,,image,['tensorflow'],https://github.com/ipazc/mtcnn,https://github.com/ipazc/mtcnn,MIT,2018-01-05 04:08:32.000000,2020-12-13 18:20:00.000000,2020-06-07 23:21:01.000000,363.0,51.0,36.0,1336.0,52.0,2019-11-14 17:37:05.000000,0.1.0,10.0,\"MTCNN face detection implementation for TensorFlow, as a PIP package.\",811.0,790.0,13.0,24,https://pypi.org/project/mtcnn,2019-11-14 17:37:05.000000,21.0,13511.0,13511.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n371,TNT,pytorch/tnt,torchnet,,,ml-experiments,['pytorch'],https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58.000000,2020-01-15 16:00:31.000000,2020-01-15 16:00:30.000000,182.0,30.0,34.0,1263.0,155.0,2019-11-15 12:57:59.000000,0.0.5.1,3.0,\"Simple tools for logging and visualizing, loading and training.\",554.0,504.0,34.0,24,https://pypi.org/project/torchnet,2018-07-29 23:16:03.000000,50.0,9769.0,9769.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n372,Fairness 360,Trusted-AI/AIF360,aif360,,,interpretability,,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15.000000,2020-12-23 17:28:49.000000,2020-10-28 02:10:25.000000,380.0,35.0,46.0,1177.0,288.0,2020-06-02 22:59:53.000000,0.3.0,8.0,\"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..\",64.0,62.0,40.0,24,https://pypi.org/project/aif360,2020-06-02 22:49:24.000000,2.0,2871.0,2871.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n373,IB-insync,erdewit/ib_insync,ib_insync,conda-forge/ib-insync,,financial-data,,https://github.com/erdewit/ib_insync,https://github.com/erdewit/ib_insync,BSD-2-Clause,2017-07-12 12:09:24.000000,2020-12-13 10:15:17.000000,2020-12-13 10:15:02.000000,374.0,3.0,273.0,1166.0,544.0,2020-11-03 13:37:57.000000,0.9.64,89.0,Python sync/async framework for Interactive Brokers API.,12.0,,25.0,24,https://pypi.org/project/ib_insync,2020-11-03 13:37:57.000000,12.0,3254.0,3640.0,https://anaconda.org/conda-forge/ib-insync,2020-11-07 23:30:42.910000,6951.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n374,TextAttack,QData/TextAttack,textattack,,,adversarial,,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000000,2020-12-31 16:35:07.000000,2020-12-29 15:45:06.000000,124.0,26.0,76.0,1157.0,1902.0,2020-12-27 05:23:02.000000,0.2.15,35.0,\"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP.\",11.0,11.0,30.0,24,https://pypi.org/project/textattack,2020-12-27 05:23:02.000000,0.0,1317.0,1317.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n375,Streamz,python-streamz/streamz,streamz,conda-forge/streamz,,time-series-data,,https://github.com/python-streamz/streamz,https://github.com/python-streamz/streamz,BSD-3-Clause,2017-04-04 21:45:49.000000,2020-12-10 21:50:53.000000,2020-12-10 21:02:45.000000,111.0,89.0,125.0,895.0,723.0,2020-11-02 14:53:29.000000,0.6.1,14.0,Real-time stream processing for python.,196.0,180.0,38.0,24,https://pypi.org/project/streamz,2020-11-02 14:53:29.000000,16.0,2542.0,5050.0,https://anaconda.org/conda-forge/streamz,2020-11-03 14:52:05.793000,100329.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n376,SciSpacy,allenai/scispacy,scispacy,,,nlp,,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52.000000,2020-12-31 04:39:24.000000,2020-11-10 19:32:41.000000,116.0,17.0,121.0,769.0,786.0,2020-10-16 17:13:40.000000,0.3.0,9.0,A full spaCy pipeline and models for scientific/biomedical documents.,203.0,191.0,14.0,24,https://pypi.org/project/scispacy,2020-10-16 17:13:40.000000,12.0,8675.0,8675.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n377,ffn,pmorissette/ffn,ffn,,,financial-data,,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09.000000,2020-12-24 03:15:18.000000,2020-12-18 01:00:27.000000,172.0,16.0,58.0,727.0,301.0,2018-05-28 14:01:56.000000,0.3.4,25.0,ffn - a financial function library for Python.,110.0,94.0,23.0,24,https://pypi.org/project/ffn,2018-05-28 14:01:56.000000,16.0,12685.0,12685.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n378,ktrain,amaiya/ktrain,ktrain,,,ml-frameworks,['tensorflow'],https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39.000000,2020-12-26 22:35:06.000000,2020-12-26 22:34:52.000000,167.0,8.0,278.0,704.0,2137.0,2020-12-23 23:20:12.000000,0.25.3,145.0,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,109.0,108.0,12.0,24,https://pypi.org/project/ktrain,2020-12-05 17:43:35.000000,1.0,6855.0,6855.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n379,GPyOpt,SheffieldML/GPyOpt,gpyopt,,,hyperopt,,https://github.com/SheffieldML/GPyOpt,https://github.com/SheffieldML/GPyOpt,BSD-3-Clause,2014-08-13 09:58:25.000000,2020-11-17 10:32:02.000000,2020-11-05 15:16:04.000000,214.0,100.0,186.0,700.0,514.0,2020-03-19 21:21:18.000000,1.2.6,11.0,Gaussian Process Optimization using GPy.,197.0,161.0,49.0,24,https://pypi.org/project/gpyopt,2020-03-19 11:37:45.000000,36.0,4909.0,4909.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n380,pythreejs,jupyter-widgets/pythreejs,pythreejs,conda-forge/pythreejs,,data-viz,['jupyter'],https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,BSD-3-Clause,2013-12-23 17:02:11.000000,2020-12-20 23:49:12.000000,2020-10-09 09:41:09.000000,156.0,58.0,136.0,691.0,1594.0,2020-03-19 11:32:37.000000,2.2.1,42.0,A Jupyter - Three.js bridge.,36.0,15.0,24.0,24,https://pypi.org/project/pythreejs,2020-10-09 09:40:47.000000,13.0,6770.0,15628.0,https://anaconda.org/conda-forge/pythreejs,2020-10-12 12:24:08.446000,255517.0,True,3,,,,,,,,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,2020-03-19 11:22:13.041000,8.0,4296.0,,,,,,,,,,,\n381,Hail,hail-is/hail,hail,,,medical-data,['spark'],https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000000,2020-12-23 17:34:47.000000,2020-12-23 03:22:51.000000,179.0,323.0,1934.0,690.0,7617.0,2020-12-03 19:29:37.000000,0.2.61,81.0,Scalable genomic data analysis.,27.0,27.0,68.0,24,https://pypi.org/project/hail,2020-12-03 19:29:37.000000,,1566.0,1566.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n382,PennyLane,PennyLaneAI/PennyLane,pennylane,,,others,,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000000,2020-12-29 20:14:18.000000,2020-12-22 16:04:07.000000,201.0,50.0,218.0,682.0,1734.0,2020-12-22 16:10:22.000000,0.13.0-post2,18.0,PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum..,20.0,,38.0,24,https://pypi.org/project/pennylane,2020-11-27 18:07:34.000000,20.0,2660.0,2662.0,,,,True,2,52.0,,,,,,,,,,,,,,,,,,,,,,,\n383,Singer,singer-io/getting-started,singer-python,,,data-loading,,https://github.com/singer-io/getting-started,https://github.com/singer-io/getting-started,AGPL-3.0,2016-10-31 16:53:56.000000,2020-12-04 20:57:23.000000,2020-12-04 20:57:19.000000,91.0,20.0,16.0,658.0,173.0,2019-11-04 21:43:38.000000,5.9.1,100.0,\"Standard for moving data between databases, web APIs, files, queues, and just about anything else you can think of.\",300.0,,26.0,24,https://pypi.org/project/singer-python,2020-10-27 17:49:47.000000,300.0,63985.0,63985.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n384,pyjanitor,ericmjl/pyjanitor,pyjanitor,conda-forge/pyjanitor,,others,,https://github.com/ericmjl/pyjanitor,https://github.com/ericmjl/pyjanitor,MIT,2018-03-04 22:43:33.000000,2020-12-31 21:37:20.000000,2020-12-31 02:32:49.000000,119.0,88.0,278.0,606.0,1162.0,2020-10-03 12:24:35.000000,0.20.10,46.0,Clean APIs for data cleaning. Python implementation of R package Janitor.,74.0,72.0,87.0,24,https://pypi.org/project/pyjanitor,2020-10-03 12:24:35.000000,2.0,1623.0,3851.0,https://anaconda.org/conda-forge/pyjanitor,2020-10-04 12:30:53.707000,75772.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n385,neo4j-driver,neo4j/neo4j-python-driver,neo4j-driver,,,db-clients,,https://github.com/neo4j/neo4j-python-driver,https://github.com/neo4j/neo4j-python-driver,Apache-2.0,2015-05-05 13:08:20.000000,2020-12-22 10:27:48.000000,2020-12-18 12:08:10.000000,132.0,4.0,167.0,587.0,,2020-12-21 13:59:28.000000,4.2.1,81.0,Neo4j Bolt driver for Python.,382.0,,26.0,24,https://pypi.org/project/neo4j-driver,2020-12-21 13:56:38.000000,382.0,74741.0,74741.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n386,pyahocorasick,WojciechMula/pyahocorasick,pyahocorasick,conda-forge/pyahocorasick,,nlp,,https://github.com/WojciechMula/pyahocorasick,https://github.com/WojciechMula/pyahocorasick,BSD-3-Clause,2013-05-30 19:55:46.000000,2020-12-23 10:51:28.000000,2020-12-23 10:51:27.000000,85.0,30.0,63.0,565.0,394.0,2018-12-20 19:06:01.000000,1.4.0,22.0,Python module (C extension and plain python) implementing Aho-Corasick algorithm.,524.0,460.0,20.0,24,https://pypi.org/project/pyahocorasick,2019-01-14 16:20:13.000000,64.0,105794.0,108651.0,https://anaconda.org/conda-forge/pyahocorasick,2020-10-13 12:20:05.350000,105727.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n387,HappyBase,python-happybase/happybase,happybase,conda-forge/happybase,,db-clients,,https://github.com/python-happybase/happybase,https://github.com/python-happybase/happybase,MIT,2012-05-20 20:06:10.000000,2020-04-09 10:46:31.000000,2020-04-09 10:46:29.000000,151.0,27.0,179.0,552.0,283.0,2017-04-03 21:13:18.000000,1.1.0,11.0,A developer-friendly Python library to interact with Apache HBase.,874.0,452.0,19.0,24,https://pypi.org/project/happybase,2017-04-03 21:13:18.000000,422.0,41641.0,42502.0,https://anaconda.org/conda-forge/happybase,2019-07-01 13:37:04.756000,47373.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n388,Intake,intake/intake,intake,conda-forge/intake,,data-loading,,https://github.com/intake/intake,https://github.com/intake/intake,BSD-2-Clause,2017-08-14 20:44:22.000000,2020-12-24 16:46:34.000000,2020-12-16 20:19:01.000000,91.0,75.0,189.0,510.0,1612.0,2020-06-03 19:03:40.000000,0.6.0,19.0,\"Intake is a lightweight package for finding, investigating, loading and disseminating data.\",287.0,213.0,51.0,24,https://pypi.org/project/intake,2020-06-03 19:03:40.000000,74.0,3198.0,5270.0,https://anaconda.org/conda-forge/intake,2020-06-03 19:49:52.133000,53886.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n389,datalad,datalad/datalad,datalad,conda-forge/datalad,,others,,https://github.com/datalad/datalad,https://github.com/datalad/datalad,MIT,2013-11-01 19:40:08.000000,2020-12-22 14:33:58.000000,2020-12-22 14:33:56.000000,68.0,711.0,2150.0,219.0,13176.0,2020-12-14 16:11:03.000000,0.13.6,61.0,\"Keep code, data, containers under control with git and git-annex.\",26.0,,40.0,24,https://pypi.org/project/datalad,2020-12-14 16:07:46.000000,26.0,1572.0,3767.0,https://anaconda.org/conda-forge/datalad,2020-12-14 19:11:37.177000,74658.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n390,PaddleOCR,PaddlePaddle/PaddleOCR,paddleocr,,,ocr,['paddle'],https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000000,2020-12-31 08:31:22.000000,2020-12-31 08:31:21.000000,1580.0,279.0,768.0,8073.0,,2020-12-18 04:01:23.000000,2.0.2,10.0,\"Awesome multilingual OCR toolkits based on PaddlePaddle practical ultra lightweight OCR system, provide data..\",11.0,11.0,41.0,23,https://pypi.org/project/paddleocr,2020-12-18 04:01:23.000000,0.0,1587.0,1587.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n391,Facets Overview,pair-code/facets,facets-overview,,,data-viz,['jupyter'],https://github.com/PAIR-code/facets,https://github.com/PAIR-code/facets,Apache-2.0,2017-07-07 14:03:03.000000,2020-10-27 19:51:23.000000,2020-10-27 19:51:22.000000,787.0,70.0,75.0,6435.0,259.0,2019-07-24 15:33:29.000000,0.9.1,4.0,Visualizations for machine learning datasets.,35.0,35.0,27.0,23,https://pypi.org/project/facets-overview,2019-07-24 15:33:29.000000,,25977.0,25977.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n392,Ciphey,Ciphey/Ciphey,ciphey,,,nlp,,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39.000000,2020-12-30 23:29:45.000000,2020-12-07 03:11:45.000000,327.0,45.0,168.0,5993.0,1712.0,2020-12-02 12:36:44.000000,5.11.0,43.0,\"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.\",,,38.0,23,https://pypi.org/project/ciphey,2020-12-02 12:36:44.000000,,5143.0,5535.0,,,,True,3,,,,remnux/ciphey,https://hub.docker.com/r/remnux/ciphey,2020-12-17 02:51:41.340501,1.0,7068.0,,,,,,,,,,,,,,,,\n393,Apex,NVIDIA/apex,,conda-forge/nvidia-apex,,gpu-utilities,['pytorch'],https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000000,2020-12-17 17:18:44.000000,2020-12-17 17:18:43.000000,656.0,425.0,359.0,4904.0,828.0,,,1.0,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,410.0,410.0,77.0,23,,,,,1857.0,https://anaconda.org/conda-forge/nvidia-apex,2020-11-23 18:41:00.769000,27865.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n394,flashtext,vi3k6i5/flashtext,flashtext,,,nlp,,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01.000000,2020-06-05 00:37:46.000000,2020-05-03 07:13:22.000000,521.0,48.0,49.0,4593.0,108.0,,,18.0,Extract Keywords from sentence or Replace keywords in sentences.,352.0,320.0,8.0,23,https://pypi.org/project/flashtext,2018-02-16 05:24:17.000000,32.0,233254.0,233254.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n395,Face Alignment,1adrianb/face-alignment,face-alignment,,,image,['pytorch'],https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44.000000,2020-12-30 17:11:07.000000,2020-12-30 17:11:06.000000,993.0,29.0,189.0,4575.0,196.0,2020-12-22 21:34:55.000000,1.3.3,9.0,2D and 3D Face alignment library build using pytorch.,6.0,,21.0,23,https://pypi.org/project/face-alignment,2020-12-22 21:34:55.000000,6.0,5560.0,5560.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n396,PaddleHub,PaddlePaddle/PaddleHub,paddlehub,,,others,['paddle'],https://github.com/PaddlePaddle/PaddleHub,https://github.com/PaddlePaddle/PaddleHub,Apache-2.0,2018-12-21 06:00:48.000000,2020-12-31 07:30:00.000000,2020-12-30 15:57:48.000000,966.0,247.0,370.0,4317.0,,2020-12-02 05:03:05.000000,2.0.0-beta1,38.0,\"Awesome pre-trained models toolkit based on PaddlePaddle.180+ models including Image, Text, Audio and Video with Easy..\",73.0,73.0,32.0,23,https://pypi.org/project/paddlehub,2020-12-24 13:01:16.000000,0.0,2228.0,2247.0,,,,True,3,421.0,,,,,,,,,,,,,,,,,,,,,,,\n397,textgenrnn,minimaxir/textgenrnn,textgenrnn,,,nlp,['tensorflow'],https://github.com/minimaxir/textgenrnn,https://github.com/minimaxir/textgenrnn,MIT,2017-08-07 02:13:37.000000,2020-12-25 03:33:19.000000,2020-07-14 02:41:10.000000,654.0,107.0,79.0,4201.0,174.0,2020-02-03 01:07:00.000000,2.0.0,14.0,Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines..,575.0,561.0,19.0,23,https://pypi.org/project/textgenrnn,2020-02-02 21:16:15.000000,14.0,890.0,901.0,,,,True,3,385.0,,,,,,,,,,,,,,,,,,,,,,,\n398,DeepSpeed,microsoft/DeepSpeed,deepspeed,,,distributed-ml,['pytorch'],https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,MIT,2020-01-23 18:35:18.000000,2020-12-30 09:56:57.000000,2020-12-23 06:26:26.000000,346.0,92.0,139.0,3871.0,376.0,2020-12-09 17:12:01.000000,0.3.9,17.0,\"DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.\",5.0,5.0,34.0,23,https://pypi.org/project/deepspeed,2020-12-23 06:29:20.000000,,956.0,1500.0,,,,True,3,,,,deepspeed/deepspeed,https://hub.docker.com/r/deepspeed/deepspeed,2020-11-20 00:17:12.819964,2.0,6536.0,,,,,,,,,,,,,,,,\n399,Snips NLU,snipsco/snips-nlu,snips-nlu,,,nlp,,https://github.com/snipsco/snips-nlu,https://github.com/snipsco/snips-nlu,Apache-2.0,2017-02-08 16:16:36.000000,2020-12-24 12:59:47.000000,2020-02-08 21:49:32.000000,454.0,50.0,196.0,3425.0,2153.0,2020-01-15 10:13:17.000000,0.20.2,58.0,Snips Python library to extract meaning from text.,8.0,,21.0,23,https://pypi.org/project/snips-nlu,2020-01-15 10:13:17.000000,8.0,1384.0,1384.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n400,Great Expectations,great-expectations/great_expectations,great_expectations,,,data-pipelines,,https://github.com/great-expectations/great_expectations,https://github.com/great-expectations/great_expectations,Apache-2.0,2017-09-11 00:18:46.000000,2020-12-29 08:16:37.000000,2020-12-23 22:41:10.000000,373.0,153.0,581.0,3305.0,,2020-12-23 01:56:12.000000,0.13.4,95.0,Always know what to expect from your data.,6.0,,137.0,23,https://pypi.org/project/great_expectations,2020-12-23 01:50:41.000000,6.0,348956.0,348956.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n401,VisualDL,PaddlePaddle/VisualDL,visualdl,,,ml-experiments,['paddle'],https://github.com/PaddlePaddle/VisualDL,https://github.com/PaddlePaddle/VisualDL,Apache-2.0,2017-12-20 12:34:31.000000,2020-12-30 10:41:04.000000,2020-12-30 10:41:03.000000,438.0,23.0,309.0,3179.0,,2020-12-29 13:20:08.000000,2.1.0,30.0,Deep Learning Visualization Toolkit.,131.0,121.0,26.0,23,https://pypi.org/project/visualdl,2020-12-29 09:00:11.000000,10.0,5032.0,5040.0,,,,True,3,58.0,,,,,,,,,,,,,,,,,,,,,,,\n402,PyAlgoTrade,gbeced/pyalgotrade,pyalgotrade,,,financial-data,,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54.000000,2020-12-24 18:41:56.000000,2018-08-21 02:42:52.000000,1139.0,38.0,81.0,3097.0,1156.0,,,8.0,Python Algorithmic Trading Library.,87.0,66.0,11.0,23,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25.000000,21.0,692.0,692.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n403,Camelot,atlanhq/camelot,camelot-py,,,data-loading,,https://github.com/atlanhq/camelot,https://github.com/atlanhq/camelot,MIT,2016-06-18 11:48:49.000000,2020-07-27 12:28:15.000000,2019-10-15 05:25:40.000000,300.0,61.0,273.0,2958.0,446.0,2020-07-27 12:28:15.000000,0.8.2,21.0,Camelot: PDF Table Extraction for Humans.,10.0,,23.0,23,https://pypi.org/project/camelot-py,2020-07-27 12:28:15.000000,10.0,27515.0,27515.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n404,segmentation_models,qubvel/segmentation_models,segmentation_models,,,image,['tensorflow'],https://github.com/qubvel/segmentation_models,https://github.com/qubvel/segmentation_models,MIT,2018-06-05 13:27:56.000000,2020-12-13 13:48:40.000000,2020-04-17 09:51:20.000000,657.0,137.0,234.0,2826.0,204.0,2020-01-10 11:36:02.000000,1.0.1,8.0,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,12.0,,14.0,23,https://pypi.org/project/segmentation_models,2020-01-10 11:36:02.000000,12.0,16270.0,16270.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n405,gallery-dl,mikf/gallery-dl,gallery-dl,,,web-scraping,,https://github.com/mikf/gallery-dl,https://github.com/mikf/gallery-dl,GPL-2.0,2014-10-12 19:38:05.000000,2020-12-29 16:43:54.000000,2020-12-29 16:36:37.000000,226.0,191.0,930.0,2791.0,2786.0,2020-12-27 17:38:07.000000,1.16.1,88.0,Command-line program to download image galleries and collections from several image hosting sites.,4.0,,27.0,23,https://pypi.org/project/gallery-dl,2020-12-27 17:28:53.000000,4.0,5355.0,6616.0,,,,False,3,78233.0,,,,,,,,,,,,,,,,,,,,,,,\n406,SHOGUN,shogun-toolbox/shogun,,conda-forge/shogun,,ml-frameworks,,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32.000000,2020-12-30 09:06:22.000000,2020-12-08 16:56:38.000000,1015.0,544.0,1067.0,2779.0,16205.0,2019-07-05 10:23:31.000000,shogun_6.1.4,10.0,Unified and efficient Machine Learning.,,,248.0,23,,,,,2138.0,https://anaconda.org/conda-forge/shogun,2018-06-25 20:49:17.070000,89312.0,True,3,,,shogun,shogun/shogun,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1436.0,,,,,,,,,,,,,,,,\n407,keras-vis,raghakot/keras-vis,keras-vis,,,interpretability,['tensorflow'],https://github.com/raghakot/keras-vis,https://github.com/raghakot/keras-vis,MIT,2016-11-11 23:27:34.000000,2020-04-20 01:03:13.000000,2020-04-20 01:03:12.000000,583.0,113.0,99.0,2769.0,195.0,2017-07-06 04:55:04.000000,0.4.1,11.0,Neural network visualization toolkit for keras.,661.0,633.0,10.0,23,https://pypi.org/project/keras-vis,2017-07-06 04:55:04.000000,28.0,2710.0,2710.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n408,PML,KevinMusgrave/pytorch-metric-learning,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,pytorch-utils,['pytorch'],https://github.com/KevinMusgrave/pytorch-metric-learning,https://github.com/KevinMusgrave/pytorch-metric-learning,MIT,2019-10-23 17:20:35.000000,2020-12-29 15:56:02.000000,2020-12-28 15:10:58.000000,353.0,31.0,167.0,2561.0,551.0,2020-12-11 05:13:08.000000,0.9.95,135.0,\"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.\",41.0,41.0,12.0,23,https://pypi.org/project/pytorch-metric-learning,2019-12-27 11:28:11.000000,0.0,4260.0,4347.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2020-12-11 06:48:33.049000,1046.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n409,WikiExtractor,attardi/wikiextractor,wikiextractor,,,web-scraping,,https://github.com/attardi/wikiextractor,https://github.com/attardi/wikiextractor,AGPL-3.0,2015-03-22 12:03:01.000000,2020-12-29 20:06:57.000000,2020-12-17 12:17:34.000000,719.0,81.0,107.0,2482.0,217.0,2020-12-05 19:18:56.000000,3.0.4,3.0,A tool for extracting plain text from Wikipedia dumps.,40.0,36.0,29.0,23,https://pypi.org/project/wikiextractor,2020-12-05 19:18:56.000000,4.0,2476.0,2476.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n410,MMLSpark,Azure/mmlspark,mmlspark,,,distributed-ml,['spark'],https://github.com/Azure/mmlspark,https://github.com/Azure/mmlspark,MIT,2017-06-05 08:23:44.000000,2020-12-11 15:17:54.000000,2020-12-03 17:05:17.000000,467.0,171.0,212.0,2220.0,760.0,2020-10-02 19:36:01.000000,1.0.0-rc3,17.0,Microsoft Machine Learning for Apache Spark.,,,61.0,23,https://pypi.org/project/mmlspark,2020-03-18 01:27:31.000000,,19384.0,19384.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n411,neuralcoref,huggingface/neuralcoref,neuralcoref,conda-forge/neuralcoref,,nlp,,https://github.com/huggingface/neuralcoref,https://github.com/huggingface/neuralcoref,MIT,2017-07-03 13:04:16.000000,2020-12-29 21:22:55.000000,2020-12-29 21:22:53.000000,373.0,40.0,214.0,2156.0,113.0,2019-04-08 11:28:27.000000,4.0.0,5.0,Fast Coreference Resolution in spaCy with Neural Networks.,277.0,268.0,20.0,23,https://pypi.org/project/neuralcoref,2019-04-08 08:53:12.000000,9.0,3459.0,3967.0,https://anaconda.org/conda-forge/neuralcoref,2020-02-21 22:10:40.453000,5560.0,True,3,161.0,,,,,,,,,,,,,,,,,,,,,,,\n412,ClearML,allegroai/clearml,clearml,,,ml-experiments,,https://github.com/allegroai/clearml,https://github.com/allegroai/clearml,Apache-2.0,2019-06-10 08:18:32.000000,2020-12-31 22:27:25.000000,2020-12-31 22:27:24.000000,261.0,87.0,149.0,2058.0,949.0,2020-12-25 00:38:35.000000,0.17.2,37.0,\"ClearML - Auto-Magical Suite of tools to streamline your ML workflow. Experiment Manager, ML-Ops and Data-Management.\",5.0,5.0,24.0,23,https://pypi.org/project/clearml,2020-12-25 00:36:49.000000,0.0,539.0,2122.0,,,,True,3,246.0,,,allegroai/trains,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,29853.0,,,,,,,,,,,,,,,,\n413,einops,arogozhnikov/einops,einops,conda-forge/einops,,ml-frameworks,,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08.000000,2020-11-21 03:15:40.000000,2020-11-14 04:18:36.000000,66.0,22.0,38.0,2048.0,290.0,2020-09-08 08:33:29.000000,0.3,3.0,\"Deep learning operations reinvented (for pytorch, tensorflow, jax and others).\",162.0,152.0,10.0,23,https://pypi.org/project/einops,2020-09-08 08:21:26.000000,10.0,9683.0,9894.0,https://anaconda.org/conda-forge/einops,2020-10-15 20:10:19.681000,3377.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n414,scikit-plot,reiinakano/scikit-plot,scikit-plot,conda-forge/scikit-plot,,interpretability,['sklearn'],https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59.000000,2020-07-22 16:19:25.000000,2018-08-19 12:37:47.000000,239.0,21.0,38.0,1979.0,130.0,2018-08-19 12:21:01.000000,0.3.7,27.0,An intuitive library to add plotting functionality to scikit-learn objects.,700.0,673.0,13.0,23,https://pypi.org/project/scikit-plot,2018-08-19 12:18:46.000000,27.0,47472.0,49339.0,https://anaconda.org/conda-forge/scikit-plot,2019-06-05 14:23:59.043000,78427.0,False,2,,,,,,,,,,,,,,,,,,,,,,,,\n415,ART,Trusted-AI/adversarial-robustness-toolbox,adversarial-robustness-toolbox,,,adversarial,,https://github.com/Trusted-AI/adversarial-robustness-toolbox,https://github.com/Trusted-AI/adversarial-robustness-toolbox,MIT,2018-03-15 14:40:43.000000,2020-12-24 18:59:20.000000,2020-12-19 00:01:10.000000,548.0,51.0,318.0,1929.0,,2020-12-01 01:59:38.000000,1.5.0,26.0,\"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..\",94.0,94.0,58.0,23,https://pypi.org/project/adversarial-robustness-toolbox,2020-12-01 01:03:21.000000,,1805.0,1805.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n416,Enigma Catalyst,enigmampc/catalyst,enigma-catalyst,,,financial-data,,https://github.com/enigmampc/catalyst,https://github.com/enigmampc/catalyst,Apache-2.0,2017-06-13 22:31:34.000000,2020-12-28 10:58:59.000000,2020-12-28 10:58:58.000000,570.0,131.0,363.0,1905.0,6362.0,2018-09-13 15:09:58.000000,0.5.21,52.0,An Algorithmic Trading Library for Crypto-Assets in Python.,20.0,20.0,144.0,23,https://pypi.org/project/enigma-catalyst,2018-11-11 16:46:28.000000,,339.0,339.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n417,Acme,deepmind/acme,dm-acme,,,reinforcement-learning,['tensorflow'],https://github.com/deepmind/acme,https://github.com/deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000000,2020-12-17 12:47:09.000000,2020-12-17 12:46:33.000000,174.0,37.0,43.0,1841.0,319.0,2020-10-23 15:59:12.000000,0.2.0,8.0,A library of reinforcement learning components and agents.,16.0,16.0,29.0,23,https://pypi.org/project/dm-acme,2020-07-24 13:03:30.000000,,629.0,629.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n418,Essentia,MTG/essentia,essentia,,,audio,,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000000,2020-12-30 18:36:17.000000,2020-12-16 16:22:01.000000,389.0,280.0,557.0,1695.0,2689.0,2015-03-31 16:33:30.000000,2.0,8.0,\"C++ library for audio and music analysis, description and synthesis, including Python bindings.\",144.0,139.0,69.0,23,https://pypi.org/project/essentia,2020-04-22 16:31:02.000000,5.0,1267.0,1267.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n419,DDSP,magenta/ddsp,ddsp,,,audio,['tensorflow'],https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27.000000,2020-12-21 21:43:25.000000,2020-12-21 21:43:15.000000,154.0,13.0,84.0,1688.0,334.0,2020-11-11 21:25:25.000000,0.13.0,25.0,DDSP: Differentiable Digital Signal Processing.,5.0,5.0,22.0,23,https://pypi.org/project/ddsp,2020-08-21 20:19:47.000000,,1302.0,1302.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n420,GluonTS,awslabs/gluon-ts,gluonts,,,time-series-data,['mxnet'],https://github.com/awslabs/gluon-ts,https://github.com/awslabs/gluon-ts,Apache-2.0,2019-05-15 17:17:29.000000,2021-01-01 11:06:07.000000,2020-12-30 11:20:22.000000,352.0,180.0,338.0,1638.0,625.0,2020-12-08 15:07:54.000000,0.6.4,27.0,Probabilistic time series modeling in Python.,,,66.0,23,https://pypi.org/project/gluonts,2020-12-08 15:07:54.000000,,23082.0,23082.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n421,Spektral,danielegrattarola/spektral,spektral,,,graph,\"['tensorflow\"\"']\",https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10.000000,2020-12-31 15:52:02.000000,2020-12-31 15:51:36.000000,178.0,20.0,90.0,1558.0,417.0,2020-12-10 21:12:38.000000,1.0.3,26.0,Graph Neural Networks with Keras and Tensorflow 2.,26.0,26.0,16.0,23,https://pypi.org/project/spektral,2020-12-10 21:12:38.000000,,3901.0,3901.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n422,Pillow-SIMD,uploadcare/pillow-simd,pillow-simd,,,image,,https://github.com/uploadcare/pillow-simd,https://github.com/uploadcare/pillow-simd,PIL,2014-11-12 15:33:02.000000,2020-11-03 07:45:01.000000,2020-06-02 14:50:14.000000,65.0,11.0,52.0,1520.0,,2020-01-02 05:19:26.000000,7.0.0,35.0,The friendly PIL fork.,401.0,351.0,310.0,23,https://pypi.org/project/pillow-simd,2020-01-26 14:30:27.000000,50.0,11159.0,11159.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n423,Elephas,maxpumperla/elephas,elephas,,,distributed-ml,\"['keras', 'spark']\",https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19.000000,2020-12-29 06:35:22.000000,2020-12-29 06:35:21.000000,280.0,51.0,80.0,1434.0,338.0,2019-03-20 17:02:37.000000,0.4.3,9.0,Distributed Deep learning with Keras & Spark.,3.0,,25.0,23,https://pypi.org/project/elephas,2020-02-10 13:38:21.000000,3.0,10050.0,10050.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n424,sklearn-contrib-lightning,scikit-learn-contrib/lightning,sklearn-contrib-lightning,conda-forge/sklearn-contrib-lightning,,others,['sklearn'],https://github.com/scikit-learn-contrib/lightning,https://github.com/scikit-learn-contrib/lightning,BSD-3-Clause,2012-01-11 13:53:52.000000,2020-12-31 02:52:17.000000,2020-12-26 21:55:56.000000,188.0,49.0,35.0,1417.0,699.0,2017-11-04 18:03:11.000000,0.5.0,7.0,\"Large-scale linear classification, regression and ranking in Python.\",77.0,72.0,16.0,23,https://pypi.org/project/sklearn-contrib-lightning,2020-12-16 17:25:20.000000,5.0,447.0,2771.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2020-12-20 22:58:20.890000,125497.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n425,bonobo,python-bonobo/bonobo,bonobo,,http://docs.bonobo-project.org/en/master/,data-pipelines,,https://github.com/python-bonobo/bonobo,https://github.com/python-bonobo/bonobo,Apache-2.0,2016-12-09 04:03:23.000000,2021-01-01 05:32:02.000000,2021-01-01 05:32:01.000000,111.0,62.0,106.0,1362.0,978.0,2019-05-16 13:19:48.000000,0.6.4,38.0,Extract Transform Load for Python 3.5+.,129.0,105.0,36.0,23,https://pypi.org/project/bonobo,2019-07-20 13:33:19.000000,24.0,2823.0,2823.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n426,Pandaral·lel,nalepae/pandarallel,pandarallel,,,data-containers,\"['pandas', 'jupyter']\",https://github.com/nalepae/pandarallel,https://github.com/nalepae/pandarallel,BSD-3-Clause,2019-03-10 11:58:29.000000,2020-12-16 13:29:31.000000,2020-12-16 13:29:29.000000,89.0,58.0,52.0,1309.0,110.0,2020-08-25 16:33:28.000000,1.5.1,28.0,A simple and efficient tool to parallelize Pandas operations on all availableCPUs.,130.0,130.0,13.0,23,https://pypi.org/project/pandarallel,2020-08-25 16:33:28.000000,,43648.0,43648.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n427,MLBox,AxeldeRomblay/MLBox,mlbox,,,hyperopt,,https://github.com/AxeldeRomblay/MLBox,https://github.com/AxeldeRomblay/MLBox,BSD-1-Clause,2017-06-01 16:59:24.000000,2020-11-24 17:57:08.000000,2020-08-25 09:26:27.000000,239.0,10.0,71.0,1170.0,1121.0,2020-08-25 09:32:37.000000,0.8.5,21.0,MLBox is a powerful Automated Machine Learning python library.,19.0,19.0,9.0,23,https://pypi.org/project/mlbox,2020-08-25 09:32:37.000000,,6202.0,6202.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n428,sense2vec,explosion/sense2vec,sense2vec,conda-forge/sense2vec,,nlp,,https://github.com/explosion/sense2vec,https://github.com/explosion/sense2vec,MIT,2016-01-23 22:15:49.000000,2020-12-10 16:03:25.000000,2020-05-29 21:31:20.000000,196.0,15.0,78.0,1140.0,437.0,2019-11-22 17:40:43.000000,1.0.2,17.0,Contextually-keyed word vectors.,54.0,48.0,14.0,23,https://pypi.org/project/sense2vec,2019-11-22 15:49:11.000000,6.0,2673.0,3908.0,https://anaconda.org/conda-forge/sense2vec,2020-03-16 22:19:07.337000,14084.0,True,3,11742.0,,,,,,,,,,,,,,,,,,,,,,,\n429,garage,rlworkgroup/garage,garage,,,reinforcement-learning,['tensorflow'],https://github.com/rlworkgroup/garage,https://github.com/rlworkgroup/garage,MIT,2018-06-10 21:31:23.000000,2020-12-31 16:38:08.000000,2020-12-23 05:19:28.000000,182.0,182.0,766.0,1006.0,1185.0,2020-09-17 07:34:11.000000,2020.6.3,21.0,A toolkit for reproducible reinforcement learning research.,13.0,13.0,73.0,23,https://pypi.org/project/garage,2020-10-02 17:16:03.000000,,265.0,265.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n430,modAL,modAL-python/modAL,modAL,,,others,['sklearn'],https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000000,2020-12-09 16:01:00.000000,2020-11-01 08:39:01.000000,163.0,40.0,49.0,985.0,643.0,2020-08-21 06:19:25.000000,0.4.0,11.0,A modular active learning framework for Python.,47.0,43.0,13.0,23,https://pypi.org/project/modAL,2020-11-01 08:48:50.000000,4.0,1818.0,1818.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n431,Optimus,ironmussa/Optimus,optimuspyspark,,,data-pipelines,['spark'],https://github.com/ironmussa/Optimus,https://github.com/ironmussa/Optimus,Apache-2.0,2017-07-13 02:31:18.000000,2020-12-31 22:25:11.000000,2020-11-19 14:04:43.000000,189.0,139.0,165.0,963.0,3520.0,2020-07-19 03:05:40.000000,2.2.32,85.0,\"Agile Data Preparation Workflows madeeasy with dask, cudf, dask_cudf and pyspark.\",11.0,11.0,21.0,23,https://pypi.org/project/optimuspyspark,2019-05-30 02:22:54.000000,,7693.0,7693.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n432,tensorly,tensorly/tensorly,tensorly,conda-forge/tensorly,,others,,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52.000000,2020-12-28 21:04:57.000000,2020-12-28 21:04:56.000000,186.0,24.0,93.0,925.0,856.0,2020-12-07 20:30:41.000000,0.5.1,16.0,TensorLy: Tensor Learning in Python.,20.0,,38.0,23,https://pypi.org/project/tensorly,2020-12-07 20:30:41.000000,20.0,3162.0,6291.0,https://anaconda.org/conda-forge/tensorly,2020-12-07 22:44:30.386000,100133.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n433,ChainerRL,chainer/chainerrl,chainerrl,,,reinforcement-learning,,https://github.com/chainer/chainerrl,https://github.com/chainer/chainerrl,MIT,2017-01-30 04:58:15.000000,2020-12-09 06:26:53.000000,2020-12-09 06:26:52.000000,206.0,75.0,146.0,920.0,3458.0,2020-02-14 05:35:56.000000,0.8.0,10.0,ChainerRL is a deep reinforcement learning library built on top of Chainer.,102.0,88.0,29.0,23,https://pypi.org/project/chainerrl,2020-02-14 05:35:56.000000,14.0,861.0,861.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n434,luminol,linkedin/luminol,luminol,,,time-series-data,,https://github.com/linkedin/luminol,https://github.com/linkedin/luminol,Apache-2.0,2015-11-18 23:16:33.000000,2020-12-27 09:54:35.000000,2018-01-09 07:46:55.000000,175.0,24.0,12.0,860.0,69.0,2016-01-20 01:01:44.000000,0.3.1,5.0,Anomaly Detection and Correlation library.,49.0,37.0,8.0,23,https://pypi.org/project/luminol,2017-12-11 06:04:15.000000,12.0,153851.0,153851.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,,\n435,keract,philipperemy/keract,keract,,,interpretability,['tensorflow'],https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57.000000,2020-12-31 16:16:17.000000,2020-12-30 14:25:13.000000,175.0,1.0,74.0,837.0,350.0,2020-12-30 19:38:30.000000,4.3.4,36.0,Activation Maps (Layers Outputs) and Gradients in Keras.,68.0,63.0,15.0,23,https://pypi.org/project/keract,2020-12-22 09:35:27.000000,5.0,1374.0,1374.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n436,PySAL,pysal/pysal,pysal,conda-forge/pysal,,geospatial-data,,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42.000000,2020-08-01 00:57:58.000000,2020-08-01 00:57:56.000000,241.0,58.0,570.0,802.0,4067.0,2020-07-30 03:12:31.000000,2.3.0,24.0,PySAL: Python Spatial Analysis Library Meta-Package.,18.0,,69.0,23,https://pypi.org/project/pysal,2020-07-30 03:12:31.000000,18.0,11143.0,18448.0,https://anaconda.org/conda-forge/pysal,2020-07-30 10:24:58.290000,394522.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n437,openTSNE,pavlin-policar/openTSNE,opentsne,conda-forge/opentsne,,data-viz,,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000000,2020-12-21 23:46:42.871000,2020-12-21 21:11:36.000000,81.0,3.0,68.0,733.0,506.0,2020-12-24 11:58:16.000000,0.5.0,18.0,\"Extensible, parallel implementations of t-SNE.\",164.0,160.0,10.0,23,https://pypi.org/project/opentsne,2020-12-21 21:21:52.000000,4.0,12417.0,15276.0,https://anaconda.org/conda-forge/opentsne,2020-12-21 23:46:42.871000,71479.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n438,PySwarms,ljvmiranda921/pyswarms,pyswarms,,,others,,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45.000000,2020-12-21 10:21:06.000000,2020-11-17 09:42:41.000000,228.0,12.0,153.0,700.0,403.0,2020-11-14 05:18:38.000000,.1.2.0,19.0,A research toolkit for particle swarm optimization in Python.,84.0,84.0,42.0,23,https://pypi.org/project/pyswarms,2020-11-14 05:17:27.000000,,4094.0,4094.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n439,arch,bashtage/arch,arch,,,financial-data,,https://github.com/bashtage/arch,https://github.com/bashtage/arch,NCSA,2014-08-29 15:41:28.000000,2020-12-18 17:19:21.000000,2020-12-18 17:15:59.000000,151.0,14.0,120.0,628.0,740.0,2020-06-24 19:19:12.000000,4.15,26.0,ARCH models in Python.,253.0,232.0,25.0,23,https://pypi.org/project/arch,2020-06-24 19:20:21.000000,21.0,52329.0,52329.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n440,scikit-multilearn,scikit-multilearn/scikit-multilearn,scikit-multilearn,,,others,['sklearn'],https://github.com/scikit-multilearn/scikit-multilearn,https://github.com/scikit-multilearn/scikit-multilearn,BSD-2-Clause,2014-04-30 13:05:44.000000,2020-06-30 10:19:46.000000,2019-05-21 11:29:06.000000,118.0,64.0,91.0,616.0,487.0,2018-12-10 16:24:47.000000,0.2.0,6.0,A scikit-learn based module for multi-label et. al. classification.,315.0,312.0,15.0,23,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47.000000,3.0,73086.0,73086.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n441,GeoViews,holoviz/geoviews,geoviews,conda-forge/geoviews,,geospatial-data,,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000000,2020-11-13 20:59:34.000000,2020-09-21 16:31:16.000000,59.0,77.0,169.0,321.0,635.0,2020-09-23 18:59:07.000000,1.8.0,21.0,\"Simple, concise geographical visualization in Python.\",188.0,178.0,21.0,23,https://pypi.org/project/geoviews,2020-03-30 19:17:21.000000,10.0,1365.0,2921.0,https://anaconda.org/conda-forge/geoviews,2020-09-23 20:06:48.808000,52917.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n442,pyhdb,SAP/pyhdb,pyhdb,,,db-clients,,https://github.com/SAP/PyHDB,https://github.com/SAP/PyHDB,Apache-2.0,2014-12-12 04:02:40.000000,2020-12-24 19:33:16.000000,2018-05-24 13:45:41.000000,132.0,50.0,51.0,287.0,155.0,2018-02-16 12:44:36.000000,0.3.4,8.0,SAP HANA Connector in pure Python.,131.0,101.0,10.0,23,https://pypi.org/project/pyhdb,2018-02-16 12:37:13.000000,30.0,69506.0,69506.0,,,,False,3,59.0,,,,,,,,,,,,,,,,,,,,,,,\n443,pySBD,nipunsadvilkar/pySBD,pysbd,,,nlp,,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20.000000,2020-12-01 05:37:27.000000,2020-12-01 05:37:25.000000,25.0,4.0,43.0,248.0,274.0,2020-10-08 11:41:09.000000,0.3.3,14.0,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,92.0,90.0,6.0,23,https://pypi.org/project/pysbd,2020-10-08 11:33:56.000000,2.0,12047.0,12047.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n444,Orion,Epistimio/orion,orion,,,hyperopt,,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21.000000,2020-12-30 12:43:33.000000,2020-12-23 03:20:49.000000,35.0,15.0,97.0,178.0,2421.0,2020-12-04 17:08:50.000000,0.1.11,12.0,Asynchronous Distributed Hyperparameter Optimization.,47.0,39.0,18.0,23,https://pypi.org/project/orion,2020-12-04 17:08:50.000000,8.0,1118.0,1118.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n445,pyexcel-xlsx,pyexcel/pyexcel-xlsx,pyexcel-xlsx,conda-forge/pyexcel-xlsx,,data-loading,,https://github.com/pyexcel/pyexcel-xlsx,https://github.com/pyexcel/pyexcel-xlsx,BSD-3-Clause,2014-12-02 00:03:24.000000,2020-11-28 22:30:58.000000,2020-11-28 22:30:53.000000,16.0,12.0,20.0,83.0,267.0,2020-10-10 13:13:09.000000,0.6.0,30.0,\"A wrapper library to read, manipulate and write data in xlsx and xlsm format using openpyxl.\",1364.0,1054.0,4.0,23,https://pypi.org/project/pyexcel-xlsx,2019-12-28 20:09:57.000000,310.0,39602.0,39977.0,https://anaconda.org/conda-forge/pyexcel-xlsx,2020-10-10 15:53:49.660000,14633.0,False,3,46.0,,,,,,,,,,,,,,,,,,,,,,,\n446,Vaex,vaexio/vaex,vaex,conda-forge/vaex,,data-containers,,https://github.com/vaexio/vaex,https://github.com/vaexio/vaex,MIT,2014-09-27 09:44:42.000000,2020-12-28 11:32:02.000000,2020-12-09 10:57:28.000000,423.0,266.0,383.0,5540.0,2898.0,2020-05-25 21:35:34.000000,3.0.0,41.0,\"Out-of-Core DataFrames for Python, ML, visualize and explore big tabular data at a billion rows per second.\",2.0,,35.0,22,https://pypi.org/project/vaex,2020-12-08 16:25:15.000000,2.0,4220.0,6049.0,https://anaconda.org/conda-forge/vaex,2020-06-01 18:35:17.510000,93201.0,True,3,199.0,,,,,,,,,,,,,,,,,,,,,,,\n447,mmdnn,Microsoft/MMdnn,mmdnn,,,model-serialisation,,https://github.com/microsoft/MMdnn,https://github.com/microsoft/MMdnn,MIT,2017-08-16 08:03:52.000000,2020-10-22 09:57:53.000000,2020-08-14 02:32:30.000000,920.0,306.0,283.0,5147.0,1083.0,2020-07-24 06:34:39.000000,0.3.1,12.0,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,50.0,47.0,85.0,22,https://pypi.org/project/mmdnn,2020-07-24 06:34:39.000000,3.0,729.0,814.0,,,,True,2,3267.0,,,,,,,,,,,,,,-2.0,,,,,,,,,\n448,Image Deduplicator,idealo/imagededup,imagededup,,,image,['tensorflow'],https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54.000000,2020-12-21 13:30:38.000000,2020-11-23 17:40:40.000000,269.0,15.0,50.0,3304.0,460.0,2020-11-23 17:55:24.000000,0.2.4,9.0,Finding duplicate images made easy!.,9.0,8.0,9.0,22,https://pypi.org/project/imagededup,2020-11-22 21:09:36.000000,1.0,2315.0,2315.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n449,ArrayFire,arrayfire/arrayfire,arrayfire,,,gpu-utilities,,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000000,2020-12-30 05:27:12.000000,2020-12-23 05:10:31.000000,449.0,254.0,1193.0,3271.0,5664.0,2020-11-23 16:37:49.000000,3.7.3,29.0,ArrayFire: a general purpose GPU library.,2.0,,80.0,22,https://pypi.org/project/arrayfire,2018-10-18 14:13:29.000000,2.0,530.0,537.0,,,,True,2,490.0,,,,,,,,,,,,,,,,,,,,,,,\n450,TensorWatch,microsoft/tensorwatch,tensorwatch,,,ml-experiments,,https://github.com/microsoft/tensorwatch,https://github.com/microsoft/tensorwatch,MIT,2019-05-15 08:29:34.000000,2020-12-28 08:11:02.000000,2020-09-16 04:30:11.000000,307.0,49.0,14.0,2995.0,108.0,2020-03-04 07:26:22.000000,0.9.1,14.0,\"Debugging, monitoring and visualization for Python Machine Learning and Data Science.\",48.0,42.0,11.0,22,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22.000000,6.0,4300.0,4300.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n451,analytics-zoo,intel-analytics/analytics-zoo,analytics-zoo,,,distributed-ml,['spark'],https://github.com/intel-analytics/analytics-zoo,https://github.com/intel-analytics/analytics-zoo,Apache-2.0,2017-05-05 02:27:30.000000,2020-12-31 02:23:02.000000,2020-12-31 02:23:02.000000,623.0,423.0,467.0,2155.0,2370.0,2020-12-17 03:25:36.000000,0.9.0,36.0,\"Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray.\",2.0,2.0,81.0,22,https://pypi.org/project/analytics-zoo,2020-12-17 03:25:36.000000,,713.0,713.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n452,Mars,mars-project/mars,pymars,,,others,,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03.000000,2021-01-01 04:16:18.000000,2021-01-01 03:58:45.000000,237.0,116.0,617.0,1967.0,674.0,2020-12-20 16:40:38.000000,0.6.1,67.0,\"Mars is a tensor-based unified framework for large-scale data computation which scales Numpy, Pandas and Scikit-learn.\",3.0,3.0,17.0,22,https://pypi.org/project/pymars,2020-12-20 16:45:18.000000,,3873.0,3873.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n453,PandasGUI,adamerose/pandasgui,pandasgui,,,data-viz,['pandas'],https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT,2019-06-12 02:19:42.000000,2020-12-05 10:18:01.000000,2020-12-05 10:17:52.000000,107.0,10.0,50.0,1925.0,403.0,2020-11-10 17:30:20.000000,0.2.7,37.0,A GUI for Pandas DataFrames.,27.0,26.0,6.0,22,https://pypi.org/project/pandasgui,2020-11-10 17:30:20.000000,1.0,2046.0,2046.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n454,pytorch-nlp,PetrochukM/PyTorch-NLP,pytorch-nlp,,,nlp,['pytorch'],https://github.com/PetrochukM/PyTorch-NLP,https://github.com/PetrochukM/PyTorch-NLP,BSD-3-Clause,2018-02-25 05:00:36.000000,2020-10-11 02:41:30.000000,2020-10-11 02:41:24.000000,223.0,14.0,49.0,1846.0,442.0,2019-11-04 05:16:00.000000,0.5.0,19.0,Basic Utilities for PyTorch Natural Language Processing (NLP).,184.0,166.0,17.0,22,https://pypi.org/project/pytorch-nlp,2019-11-04 04:35:18.000000,18.0,3706.0,3706.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n455,PyFlux,RJT1990/pyflux,pyflux,,,time-series-data,,https://github.com/RJT1990/pyflux,https://github.com/RJT1990/pyflux,BSD-3-Clause,2016-02-16 20:12:02.000000,2019-03-19 10:45:02.000000,2018-12-16 15:30:13.000000,207.0,79.0,65.0,1840.0,118.0,2017-11-21 16:27:06.000000,0.4.16,35.0,Open source time series library for Python.,179.0,164.0,6.0,22,https://pypi.org/project/pyflux,2017-11-21 16:27:06.000000,15.0,12712.0,12712.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n456,MONAI,Project-MONAI/MONAI,monai,,,medical-data,['pytorch'],https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000000,2020-12-31 12:18:10.000000,2020-12-31 12:18:09.000000,286.0,82.0,567.0,1666.0,700.0,2020-12-15 15:21:13.000000,0.4.0,15.0,AI Toolkit for Healthcare Imaging.,,,48.0,22,https://pypi.org/project/monai,2020-12-15 15:16:56.000000,,3564.0,3564.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n457,STUMPY,TDAmeritrade/stumpy,stumpy,conda-forge/stumpy,,time-series-data,,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000000,2020-12-31 12:30:03.000000,2020-12-31 12:29:52.000000,152.0,27.0,169.0,1623.0,770.0,2020-12-31 01:04:19.000000,1.6.1,15.0,\"STUMPY is a powerful and scalable Python library for computing a Matrix Profile, which can be used for a variety of..\",0.0,,20.0,22,https://pypi.org/project/stumpy,2020-12-31 01:04:19.000000,0.0,19000.0,19714.0,https://anaconda.org/conda-forge/stumpy,2020-12-31 01:16:25.635000,14290.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n458,scattertext,JasonKessler/scattertext,scattertext,conda-forge/scattertext,,nlp,,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12.000000,2020-12-18 17:48:22.333000,2020-12-18 09:53:12.000000,200.0,17.0,51.0,1470.0,335.0,2017-03-13 05:31:21.000000,0.0.2.4.4,127.0,Beautiful visualizations of how language differs among document types.,146.0,138.0,10.0,22,https://pypi.org/project/scattertext,2020-12-14 02:45:48.000000,8.0,3835.0,4870.0,https://anaconda.org/conda-forge/scattertext,2020-12-18 17:48:22.333000,42461.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n459,fast-bert,kaushaltrivedi/fast-bert,fast-bert,,,nlp,,https://github.com/kaushaltrivedi/fast-bert,https://github.com/kaushaltrivedi/fast-bert,Apache-2.0,2019-04-18 22:01:20.000000,2020-12-17 21:05:51.000000,2020-12-17 21:05:43.000000,303.0,137.0,90.0,1465.0,262.0,2020-12-09 21:27:58.000000,1.9.5,40.0,Super easy library for BERT based NLP models.,2.0,,34.0,22,https://pypi.org/project/fast-bert,2020-12-09 21:27:58.000000,2.0,2062.0,2062.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n460,anaGo,Hironsan/anago,anago,,,nlp,['tensorflow'],https://github.com/Hironsan/anago,https://github.com/Hironsan/anago,MIT,2017-06-26 21:28:36.000000,2020-11-13 17:31:18.000000,2019-10-23 03:19:52.000000,348.0,36.0,71.0,1371.0,296.0,2018-06-03 13:51:56.000000,1.0.0,14.0,\"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.\",24.0,24.0,11.0,22,https://pypi.org/project/anago,2018-07-17 01:59:21.000000,,1575.0,1575.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n461,Talos,autonomio/talos,talos,,,hyperopt,['tensorflow'],https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41.000000,2020-11-21 16:37:14.000000,2020-11-21 16:27:04.000000,220.0,41.0,342.0,1350.0,538.0,2020-11-09 16:48:30.000000,1.0,13.0,\"Hyperparameter Optimization for TensorFlow, Keras and PyTorch.\",109.0,103.0,19.0,22,https://pypi.org/project/talos,2020-11-09 16:46:45.000000,6.0,1009.0,1009.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n462,hnswlib,nmslib/hnswlib,hnswlib,,,nn-search,,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000000,2020-12-14 05:10:44.000000,2020-08-18 21:30:59.000000,229.0,80.0,104.0,1281.0,195.0,2020-07-13 04:50:55.000000,0.4.0,3.0,Header-only C++/python library for fast approximate nearest neighbors.,2.0,,32.0,22,https://pypi.org/project/hnswlib,2020-07-13 04:50:55.000000,2.0,14104.0,14104.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n463,NiftyNet,NifTK/NiftyNet,niftynet,,,medical-data,['tensorflow'],https://github.com/NifTK/NiftyNet,https://github.com/NifTK/NiftyNet,Apache-2.0,2017-08-30 07:55:43.000000,2020-04-21 19:54:52.000000,2020-04-21 19:54:51.000000,373.0,99.0,224.0,1259.0,2848.0,2019-10-09 19:33:30.000000,0.6.0,11.0,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,33.0,33.0,58.0,22,https://pypi.org/project/niftynet,2019-10-10 10:59:33.000000,,239.0,239.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n464,EfficientNets,rwightman/gen-efficientnet-pytorch,geffnet,,,pytorch-utils,['pytorch'],https://github.com/rwightman/gen-efficientnet-pytorch,https://github.com/rwightman/gen-efficientnet-pytorch,Apache-2.0,2019-05-11 19:35:56.000000,2020-11-30 05:51:08.000000,2020-11-30 05:49:27.000000,163.0,,46.0,1219.0,106.0,2020-08-20 19:55:21.000000,1.0.0,9.0,\"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.\",27.0,27.0,5.0,22,https://pypi.org/project/geffnet,2020-08-20 19:55:21.000000,,1109.0,1109.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n465,metric-learn,scikit-learn-contrib/metric-learn,metric-learn,,,others,['sklearn'],https://github.com/scikit-learn-contrib/metric-learn,https://github.com/scikit-learn-contrib/metric-learn,MIT,2013-11-02 08:29:47.000000,2020-08-04 01:35:49.000000,2020-08-04 01:35:39.000000,205.0,47.0,109.0,1090.0,263.0,2020-07-02 12:55:51.000000,0.6.2,10.0,Metric learning algorithms in Python.,122.0,113.0,19.0,22,https://pypi.org/project/metric-learn,2020-07-02 12:59:23.000000,9.0,15249.0,15249.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n466,pandasql,yhat/pandasql,pandasql,,,data-containers,['pandas'],https://github.com/yhat/pandasql,https://github.com/yhat/pandasql,MIT,2013-02-18 01:53:56.000000,2020-08-14 13:00:13.000000,2017-02-01 15:40:30.000000,141.0,44.0,23.0,927.0,127.0,2016-04-20 21:52:36.000000,0.7.3,31.0,sqldf for pandas.,646.0,597.0,15.0,22,https://pypi.org/project/pandasql,2016-04-20 21:52:36.000000,49.0,202046.0,202046.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n467,bt,pmorissette/bt,bt,,,financial-data,,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28.000000,2020-12-31 00:38:28.000000,2020-12-31 00:38:27.000000,246.0,54.0,159.0,917.0,372.0,2018-05-28 17:12:46.000000,0.2.7,23.0,bt - flexible backtesting for Python.,61.0,41.0,20.0,22,https://pypi.org/project/bt,2018-05-28 17:12:46.000000,20.0,3842.0,3842.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n468,spacy-transformers,explosion/spacy-transformers,spacy-transformers,,,nlp,['spacy'],https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000000,2020-12-18 09:05:48.000000,2020-12-17 14:45:54.000000,96.0,48.0,132.0,861.0,1235.0,2020-06-29 12:10:14.000000,0.6.2,33.0,\"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.\",70.0,67.0,14.0,22,https://pypi.org/project/spacy-transformers,2020-10-14 12:35:57.000000,3.0,7587.0,7587.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n469,Alibi,SeldonIO/alibi,alibi,,,interpretability,,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Apache-2.0,2019-02-26 10:10:56.000000,2020-12-03 14:50:46.000000,2020-12-02 15:42:16.000000,101.0,63.0,72.0,827.0,226.0,2020-10-20 14:14:29.000000,0.5.5,15.0,Algorithms for monitoring and explaining machine learning models.,62.0,53.0,11.0,22,https://pypi.org/project/alibi,2020-10-20 14:13:40.000000,9.0,3001.0,3001.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n470,FinTA,peerchemist/finta,finta,,,financial-data,,https://github.com/peerchemist/finta,https://github.com/peerchemist/finta,LGPL-3.0,2016-09-01 21:02:46.000000,2020-12-17 13:15:00.000000,2020-11-04 21:30:11.000000,276.0,7.0,58.0,762.0,364.0,2020-10-21 11:36:19.000000,1.2,19.0,Common financial technical indicators implemented in Pandas.,53.0,51.0,21.0,22,https://pypi.org/project/finta,2020-10-21 11:39:44.000000,2.0,3226.0,3226.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n471,Neural Structured Learning,tensorflow/neural-structured-learning,neural-structured-learning,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/neural-structured-learning,https://github.com/tensorflow/neural-structured-learning,Apache-2.0,2019-08-27 21:48:16.000000,2020-12-24 17:07:59.000000,2020-12-14 18:50:13.000000,135.0,5.0,38.0,758.0,344.0,2020-08-18 00:30:03.000000,1.3.1,7.0,Training neural models with structured signals.,16.0,16.0,25.0,22,https://pypi.org/project/neural-structured-learning,2020-08-18 00:35:35.000000,,2114.0,2114.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n472,Explainability 360,Trusted-AI/AIX360,aix360,,,interpretability,,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48.000000,2020-12-04 16:51:14.000000,2020-12-04 16:49:39.000000,160.0,26.0,18.0,747.0,305.0,2020-10-28 09:32:21.000000,0.2.1,4.0,Interpretability and explainability of data and machine learning models.,13.0,12.0,27.0,22,https://pypi.org/project/aix360,2020-10-28 09:18:17.000000,1.0,506.0,506.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n473,AstroML,astroML/astroML,astroML,conda-forge/astroml,,others,['sklearn'],https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50.000000,2020-09-09 15:52:15.000000,2020-09-09 15:52:13.000000,246.0,48.0,80.0,705.0,508.0,2019-10-02 06:32:58.000000,0.4.1,10.0,\"Machine learning, statistics, and data mining for astronomy and astrophysics.\",187.0,158.0,29.0,22,https://pypi.org/project/astroML,2020-03-23 23:20:49.000000,29.0,628.0,1143.0,https://anaconda.org/conda-forge/astroml,2020-02-16 04:18:54.678000,21140.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n474,GPUtil,anderskm/gputil,gputil,,,gpu-utilities,,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43.000000,2020-10-01 05:42:49.000000,2019-08-16 09:00:15.000000,76.0,10.0,14.0,659.0,140.0,2018-12-18 09:12:13.000000,1.4.0,8.0,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,1013.0,911.0,13.0,22,https://pypi.org/project/gputil,2018-12-18 09:12:13.000000,102.0,58655.0,58655.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,,\n475,Node2Vec,eliorc/node2vec,node2vec,conda-forge/node2vec,,graph,,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000000,2020-11-28 08:59:52.000000,2020-11-28 08:54:36.000000,159.0,1.0,46.0,608.0,44.0,2020-11-28 08:59:52.000000,0.4.0,12.0,Implementation of the node2vec algorithm.,110.0,105.0,6.0,22,https://pypi.org/project/node2vec,2020-11-28 08:57:22.000000,5.0,4814.0,5290.0,https://anaconda.org/conda-forge/node2vec,2020-04-25 22:41:13.714000,15252.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n476,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,pandas-bokeh,,,data-viz,['pandas'],https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14.000000,2020-11-27 08:30:55.000000,2020-11-27 08:28:43.000000,74.0,20.0,51.0,593.0,259.0,2020-11-27 08:29:09.000000,0.5.2,13.0,Bokeh Plotting Backend for Pandas and GeoPandas.,128.0,118.0,11.0,22,https://pypi.org/project/pandas-bokeh,2020-11-27 08:30:55.000000,10.0,6465.0,6465.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n477,PDPbox,SauceCat/PDPbox,pdpbox,conda-forge/pdpbox,,data-viz,,https://github.com/SauceCat/PDPbox,https://github.com/SauceCat/PDPbox,MIT,2017-06-26 08:01:54.000000,2019-07-17 16:58:38.379000,2018-12-08 10:06:13.000000,80.0,35.0,17.0,519.0,223.0,2018-07-23 13:33:35.000000,0.2.0,2.0,python partial dependence plot toolbox.,287.0,287.0,7.0,22,https://pypi.org/project/pdpbox,2018-07-23 13:33:35.000000,,46130.0,46430.0,https://anaconda.org/conda-forge/pdpbox,2019-07-17 16:58:38.379000,5404.0,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n478,Guild AI,guildai/guildai,guildai,,,ml-experiments,,https://github.com/guildai/guildai,https://github.com/guildai/guildai,Apache-2.0,2017-09-27 18:57:50.000000,2020-12-20 15:28:02.000000,2020-12-16 16:04:43.000000,44.0,93.0,144.0,515.0,4169.0,2020-12-05 17:36:38.000000,0.7.1,156.0,\"Experiment tracking, ML developer tools.\",25.0,25.0,16.0,22,https://pypi.org/project/guildai,2020-12-17 00:49:11.000000,,4460.0,4460.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n479,SDV,sdv-dev/SDV,sdv,,,data-loading,,https://github.com/sdv-dev/SDV,https://github.com/sdv-dev/SDV,MIT,2018-05-11 15:56:50.000000,2020-12-31 16:32:18.000000,2020-12-31 15:57:56.000000,53.0,40.0,128.0,292.0,754.0,2020-12-31 15:58:42.000000,0.6.1,34.0,\"Synthetic Data Generation for tabular, relational and time series data.\",12.0,12.0,32.0,22,https://pypi.org/project/sdv,2020-12-31 15:57:53.000000,0.0,1519.0,1519.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n480,vega,vega/ipyvega,vega,conda-forge/vega,,data-viz,['jupyter'],https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000000,2020-12-28 09:49:43.000000,2020-12-28 09:48:21.000000,46.0,8.0,79.0,291.0,466.0,2020-05-15 23:40:02.000000,3.4.0,37.0,IPython/Jupyter notebook module for Vega and Vega-Lite.,148.0,,9.0,22,https://pypi.org/project/vega,2020-05-15 23:40:02.000000,148.0,5410.0,12196.0,https://anaconda.org/conda-forge/vega,2020-12-10 15:03:57.175000,373249.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n481,pyvips,libvips/pyvips,pyvips,conda-forge/pyvips,,image,,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000000,2020-12-27 23:03:46.000000,2020-12-27 23:01:11.000000,25.0,67.0,129.0,284.0,390.0,2020-12-18 11:44:57.000000,2.1.14,20.0,python binding for libvips using cffi.,154.0,132.0,10.0,22,https://pypi.org/project/pyvips,2020-12-18 11:44:57.000000,22.0,3938.0,4281.0,https://anaconda.org/conda-forge/pyvips,2020-10-14 10:02:33.542000,5838.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n482,pysparkling,svenkreiss/pysparkling,pysparkling,,,data-pipelines,,https://github.com/svenkreiss/pysparkling,https://github.com/svenkreiss/pysparkling,MIT,2015-05-09 19:23:20.000000,2020-11-02 11:37:56.000000,2020-11-02 11:37:55.000000,43.0,2.0,20.0,233.0,1506.0,2019-07-13 07:23:04.000000,0.6.0,67.0,A pure Python implementation of Apache Spark's RDD and DStream interfaces.,61.0,54.0,9.0,22,https://pypi.org/project/pysparkling,2019-07-13 07:23:04.000000,7.0,6088.0,6088.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n483,SUOD,yzhao062/SUOD,suod,,,others,,https://github.com/yzhao062/SUOD,https://github.com/yzhao062/SUOD,BSD-2-Clause,2019-11-20 00:23:54.000000,2020-12-27 16:23:50.000000,2020-12-27 16:23:45.000000,26.0,4.0,,225.0,124.0,2020-04-20 19:41:31.000000,0.0.4,5.0,An Acceleration System for Large-scale Outlier Detection (Anomaly Detection).,228.0,228.0,1.0,22,https://pypi.org/project/suod,2020-04-20 19:41:31.000000,,91394.0,91394.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n484,EarthPy,earthlab/earthpy,earthpy,conda-forge/earthpy,,geospatial-data,,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000000,2020-12-24 20:03:33.000000,2020-12-03 23:03:15.000000,92.0,22.0,199.0,216.0,1066.0,2020-06-18 23:58:08.000000,0.9.2,22.0,A package built to support working with spatial data using open source python.,75.0,72.0,38.0,22,https://pypi.org/project/earthpy,2020-06-18 23:58:08.000000,3.0,1933.0,3155.0,https://anaconda.org/conda-forge/earthpy,2020-06-19 15:23:44.425000,25674.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n485,TensorFlow Cloud,tensorflow/cloud,tensorflow-cloud,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59.000000,2021-01-01 06:31:05.000000,2020-12-29 22:10:50.000000,41.0,41.0,25.0,209.0,488.0,2020-12-03 20:05:29.000000,0.1.10,13.0,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,8.0,8.0,15.0,22,https://pypi.org/project/tensorflow-cloud,2020-12-03 20:05:29.000000,,376014.0,376014.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n486,py3nvml,fbcotter/py3nvml,py3nvml,conda-forge/py3nvml,,gpu-utilities,,https://github.com/fbcotter/py3nvml,https://github.com/fbcotter/py3nvml,BSD-3-Clause,2016-11-21 01:07:37.000000,2020-10-10 10:41:08.987000,2020-04-23 06:54:42.000000,24.0,2.0,8.0,160.0,79.0,2020-04-06 16:02:10.000000,0.2.6,13.0,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,234.0,214.0,6.0,22,https://pypi.org/project/py3nvml,2020-04-06 16:02:10.000000,20.0,88697.0,89594.0,https://anaconda.org/conda-forge/py3nvml,2020-10-10 10:41:08.987000,10767.0,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n487,Recommenders,microsoft/recommenders,,,,recommender-systems,,https://github.com/microsoft/recommenders,https://github.com/microsoft/recommenders,MIT,2018-09-19 10:06:07.000000,2020-12-29 22:25:25.000000,2020-11-27 17:04:52.000000,1544.0,107.0,426.0,8905.0,6206.0,2020-08-20 15:11:46.000000,2020.8,6.0,Best Practices on Recommendation Systems.,1.0,1.0,86.0,21,,,,,,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n488,cortex,cortexlabs/cortex,cortex,,,model-serialisation,,https://github.com/cortexlabs/cortex,https://github.com/cortexlabs/cortex,Apache-2.0,2019-01-24 04:43:14.000000,2020-12-31 23:50:51.000000,2020-12-31 08:35:36.000000,540.0,195.0,658.0,7156.0,1752.0,2020-12-23 06:28:31.000000,0.25.0,43.0,Run inference at scale.,0.0,,18.0,21,https://pypi.org/project/cortex,2020-12-23 06:21:32.000000,0.0,897.0,897.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n489,mace,XiaoMi/mace,,,,ml-frameworks,,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12.000000,2020-12-23 12:23:52.000000,2020-12-23 10:07:32.000000,744.0,37.0,580.0,4260.0,3078.0,2020-12-23 12:23:52.000000,1.0.1,8.0,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,,,54.0,21,,,,,44.0,,,,True,3,1282.0,,,,,,,,,,,,,,,,,,,,,,,\n490,MMF,facebookresearch/mmf,mmf,,,image,['pytorch'],https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40.000000,2020-12-30 21:53:47.000000,2020-12-18 19:26:49.000000,588.0,88.0,318.0,4021.0,755.0,2019-08-26 19:04:21.000000,0.3.1,11.0,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,6.0,6.0,50.0,21,https://pypi.org/project/mmf,2020-06-11 16:09:52.000000,,230.0,230.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n491,MatchZoo,NTMC-Community/MatchZoo,matchzoo,,,nlp,['tensorflow'],https://github.com/NTMC-Community/MatchZoo,https://github.com/NTMC-Community/MatchZoo,Apache-2.0,2017-06-08 08:55:22.000000,2020-06-17 07:27:59.000000,2019-10-24 13:10:07.000000,858.0,27.0,427.0,3310.0,1808.0,2019-10-24 13:09:11.000000,2.2.0,5.0,\"Facilitating the design, comparison and sharing of deep text matching models.\",9.0,9.0,35.0,21,https://pypi.org/project/matchzoo,2019-10-24 13:09:11.000000,,304.0,304.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n492,AdaNet,tensorflow/adanet,adanet,,,hyperopt,['tensorflow'],https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24.000000,2020-07-09 21:03:28.000000,2020-07-09 20:51:04.000000,490.0,63.0,47.0,3217.0,439.0,2020-07-09 20:53:28.000000,0.9.0,13.0,Fast and flexible AutoML with learning guarantees.,35.0,33.0,26.0,21,https://pypi.org/project/adanet,2020-07-09 21:03:28.000000,2.0,747.0,747.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n493,NLP Architect,IntelLabs/nlp-architect,nlp-architect,,,nlp,,https://github.com/IntelLabs/nlp-architect,https://github.com/IntelLabs/nlp-architect,Apache-2.0,2018-05-17 21:00:13.000000,2021-01-01 09:15:55.000000,2020-11-26 15:35:15.000000,394.0,16.0,103.0,2562.0,946.0,2020-11-17 12:32:37.000000,0.5.5.1,13.0,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,6.0,6.0,35.0,21,https://pypi.org/project/nlp-architect,2020-04-12 11:34:38.000000,,272.0,272.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n494,Image Super-Resolution,idealo/image-super-resolution,ISR,,,image,['tensorflow'],https://github.com/idealo/image-super-resolution,https://github.com/idealo/image-super-resolution,Apache-2.0,2018-11-26 13:41:13.000000,2020-11-11 15:09:20.000000,2020-11-11 15:09:19.000000,456.0,47.0,95.0,2382.0,138.0,2020-01-08 15:37:35.000000,2.2.0,11.0,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,40.0,36.0,9.0,21,https://pypi.org/project/ISR,2020-01-08 15:37:35.000000,4.0,2736.0,2740.0,,,,True,3,,,,idealo/image-super-resolution-gpu,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,,117.0,,,,,,,,,,,,,,,,\n495,tensorflow-graphics,tensorflow/graphics,tensorflow-graphics,,,image,['tensorflow'],https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44.000000,2020-12-30 21:37:19.000000,2020-10-30 10:26:19.000000,262.0,87.0,81.0,2374.0,566.0,2020-05-20 19:56:41.000000,2020.5.20,21.0,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,3.0,,30.0,21,https://pypi.org/project/tensorflow-graphics,2020-05-20 19:56:41.000000,3.0,924.0,924.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n496,Luminoth,tryolabs/luminoth,luminoth,,,image,['tensorflow'],https://github.com/tryolabs/luminoth,https://github.com/tryolabs/luminoth,BSD-3-Clause,2017-02-16 15:07:46.000000,2020-12-24 21:01:24.000000,2020-01-07 20:53:25.000000,400.0,50.0,127.0,2331.0,838.0,2018-10-31 22:19:52.000000,0.2.3,10.0,Deep Learning toolkit for Computer Vision.,27.0,27.0,15.0,21,https://pypi.org/project/luminoth,2018-11-09 21:35:17.000000,,575.0,859.0,,,,True,3,11094.0,,,,,,,,,,,,,,,,,,,,,,,\n497,Porcupine,Picovoice/Porcupine,pvporcupine,,,audio,,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000000,2020-12-30 17:56:57.000000,2020-12-30 17:56:56.000000,323.0,9.0,261.0,2266.0,339.0,2020-12-02 15:34:40.000000,1.9,13.0,On-device wake word detection powered by deep learning.,4.0,4.0,25.0,21,https://pypi.org/project/pvporcupine,2020-10-02 19:16:49.000000,0.0,892.0,892.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n498,DeepVariant,google/deepvariant,,bioconda/deepvariant,,medical-data,['tensorflow'],https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000000,2020-12-14 23:35:28.000000,2020-12-14 23:35:27.000000,520.0,3.0,362.0,2150.0,1503.0,2020-12-07 17:56:31.000000,1.1.0,15.0,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,,,19.0,21,,,,,796.0,https://anaconda.org/bioconda/deepvariant,2020-09-05 07:25:11.429000,25816.0,True,3,2951.0,,,,,,,,,,,,,,,,,,,,,,,\n499,Texar,asyml/texar,texar,,,nlp,['tensorflow'],https://github.com/asyml/texar,https://github.com/asyml/texar,Apache-2.0,2017-07-22 19:02:05.000000,2020-09-17 07:03:55.000000,2020-07-29 00:38:30.000000,327.0,32.0,126.0,2077.0,1719.0,2019-11-19 04:11:18.000000,0.2.4,6.0,\"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the..\",14.0,12.0,41.0,21,https://pypi.org/project/texar,2019-11-19 04:11:18.000000,2.0,66.0,66.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n500,TensorTrade,tensortrade-org/tensortrade,tensortrade,,,financial-data,,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32.000000,2020-12-29 22:43:06.000000,2020-12-29 17:32:29.000000,547.0,33.0,117.0,2075.0,848.0,,,25.0,\"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.\",11.0,10.0,46.0,21,https://pypi.org/project/tensortrade,2020-08-24 18:26:46.000000,1.0,882.0,882.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n501,TF Ranking,tensorflow/ranking,tensorflow_ranking,,,recommender-systems,['tensorflow'],https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57.000000,2020-08-29 04:38:20.000000,2020-08-19 20:44:22.000000,351.0,22.0,193.0,1999.0,213.0,2020-08-19 21:58:05.000000,0.3.2,14.0,Learning to Rank in TensorFlow.,1.0,,17.0,21,https://pypi.org/project/tensorflow_ranking,2020-08-19 21:14:13.000000,1.0,20296.0,20296.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n502,knockknock,huggingface/knockknock,knockknock,conda-forge/knockknock,,ml-experiments,,https://github.com/huggingface/knockknock,https://github.com/huggingface/knockknock,MIT,2019-03-20 13:08:55.000000,2020-07-31 11:55:05.000000,2020-03-16 04:26:47.000000,152.0,12.0,21.0,1910.0,75.0,2020-03-04 04:15:47.000000,0.1.8,10.0,Knock Knock: Get notified when your training ends with only two additional lines of code.,124.0,121.0,18.0,21,https://pypi.org/project/knockknock,2020-03-16 14:30:23.000000,3.0,1170.0,1517.0,https://anaconda.org/conda-forge/knockknock,2020-03-17 01:52:16.317000,5217.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n503,auto_ml,ClimbsRocks/auto_ml,auto_ml,,,hyperopt,,https://github.com/ClimbsRocks/auto_ml,https://github.com/ClimbsRocks/auto_ml,MIT,2016-08-07 21:35:08.000000,2020-12-29 07:56:49.000000,2018-03-25 19:46:25.000000,284.0,176.0,215.0,1511.0,1149.0,2018-02-22 01:13:03.000000,2.9.10,78.0,[UNMAINTAINED] Automated machine learning for analytics & production.,1.0,,13.0,21,https://pypi.org/project/auto_ml,2018-02-22 01:13:03.000000,1.0,2314.0,2314.0,,,,False,3,33.0,,,,,,,,,,,,,,,,,,,,,,,\n504,cleanlab,cgnorthcutt/cleanlab,cleanlab,,,others,,https://github.com/cgnorthcutt/cleanlab,https://github.com/cgnorthcutt/cleanlab,MIT,2018-05-11 01:55:21.000000,2020-12-11 06:18:10.000000,2020-12-11 06:18:09.000000,149.0,16.0,35.0,1392.0,695.0,2020-02-17 07:33:06.000000,0.1.1,15.0,The standard package for machine learning with noisy labels and finding mislabeled data in Python.,8.0,8.0,5.0,21,https://pypi.org/project/cleanlab,2020-02-17 07:33:06.000000,,2289.0,2289.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n505,Magnitude,plasticityai/magnitude,pymagnitude,,,nn-search,,https://github.com/plasticityai/magnitude,https://github.com/plasticityai/magnitude,MIT,2018-02-24 07:28:16.000000,2020-07-17 20:19:50.000000,2020-07-17 20:19:46.000000,97.0,24.0,50.0,1373.0,350.0,2020-05-25 11:26:36.000000,0.1.143,128.0,\"A fast, efficient universal vector embedding utility package.\",183.0,169.0,4.0,21,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36.000000,14.0,5711.0,5711.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n506,TensorFlow Privacy,tensorflow/privacy,tensorflow-privacy,,,privacy-ml,['tensorflow'],https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000000,2020-12-30 15:43:12.000000,2020-12-30 15:43:07.000000,259.0,39.0,74.0,1293.0,430.0,2020-09-03 01:13:47.000000,.0.5.1,9.0,Library for training machine learning models with privacy for training data.,1.0,,33.0,21,https://pypi.org/project/tensorflow-privacy,2020-09-03 01:10:15.000000,1.0,4406.0,4408.0,,,,True,2,41.0,,,,,,,,,,,,,,,,,,,,,,,\n507,reformer-pytorch,lucidrains/reformer-pytorch,reformer-pytorch,,,pytorch-utils,['pytorch'],https://github.com/lucidrains/reformer-pytorch,https://github.com/lucidrains/reformer-pytorch,MIT,2020-01-09 20:42:37.000000,2020-12-11 17:49:44.000000,2020-12-11 17:49:36.000000,157.0,1.0,92.0,1280.0,236.0,2020-12-06 23:07:32.000000,1.2.4,132.0,\"Reformer, the efficient Transformer, in Pytorch.\",,,9.0,21,https://pypi.org/project/reformer-pytorch,2020-12-06 23:08:09.000000,,1130.0,1130.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n508,Neural Tangents,google/neural-tangents,neural-tangents,,,ml-frameworks,,https://github.com/google/neural-tangents,https://github.com/google/neural-tangents,Apache-2.0,2019-04-08 16:48:48.000000,2020-12-30 20:01:17.000000,2020-12-24 19:57:28.000000,136.0,26.0,48.0,1255.0,340.0,2020-11-18 04:34:54.000000,0.3.5,19.0,Fast and Easy Infinite Neural Networks in Python.,12.0,12.0,16.0,21,https://pypi.org/project/neural-tangents,2020-11-18 04:23:35.000000,,621.0,630.0,,,,True,3,67.0,,,,,,,,,,,,,,,,,,,,,,,\n509,Pypeline,cgarciae/pypeln,pypeln,,,data-pipelines,,https://github.com/cgarciae/pypeln,https://github.com/cgarciae/pypeln,MIT,2018-09-01 13:43:31.000000,2020-12-31 19:09:41.000000,2020-11-13 23:36:42.000000,65.0,12.0,34.0,1185.0,227.0,2020-10-11 21:02:19.000000,0.4.6,33.0,Concurrent data pipelines in Python .,5.0,,8.0,21,https://pypi.org/project/pypeln,2020-10-11 21:01:30.000000,5.0,2113.0,2113.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n510,Torchmeta,tristandeleu/pytorch-meta,torchmeta,,,pytorch-utils,['pytorch'],https://github.com/tristandeleu/pytorch-meta,https://github.com/tristandeleu/pytorch-meta,MIT,2018-12-04 23:36:45.000000,2020-11-25 16:45:01.000000,2020-11-25 16:41:48.000000,129.0,19.0,69.0,1154.0,341.0,2020-11-25 16:45:01.000000,1.6.1,26.0,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.,23.0,23.0,10.0,21,https://pypi.org/project/torchmeta,2020-11-25 16:45:01.000000,,645.0,645.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n511,tensorrec,jfkirk/tensorrec,tensorrec,,,recommender-systems,['tensorflow'],https://github.com/jfkirk/tensorrec,https://github.com/jfkirk/tensorrec,Apache-2.0,2017-02-28 18:51:11.000000,2020-07-30 02:47:12.000000,2020-02-04 21:10:25.000000,205.0,32.0,90.0,1113.0,334.0,2019-04-02 00:53:47.000000,0.26.2,30.0,A TensorFlow recommendation algorithm and framework in Python.,23.0,22.0,8.0,21,https://pypi.org/project/tensorrec,2019-04-02 00:53:47.000000,1.0,1143.0,1143.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n512,Karate Club,benedekrozemberczki/karateclub,karateclub,,,graph,,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56.000000,2020-12-21 20:52:07.000000,2020-12-21 20:51:56.000000,129.0,,46.0,1104.0,2094.0,2020-12-01 21:11:27.000000,_10022,95.0,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,19.0,19.0,11.0,21,https://pypi.org/project/karateclub,2020-12-01 21:08:09.000000,,3861.0,3861.0,,,,False,2,,,,,,,,,,,,,,,,,,,,,,,,\n513,Skater,oracle/Skater,skater,conda-forge/skater,,interpretability,,https://github.com/oracle/Skater,https://github.com/oracle/Skater,UPL-1.0,2017-01-26 05:45:42.000000,2020-11-01 15:57:12.273000,2020-06-29 20:07:12.000000,156.0,62.0,97.0,958.0,1101.0,2018-09-21 07:03:32.000000,1.1.2,23.0,Python Library for Model Interpretation/Explanations.,,,34.0,21,https://pypi.org/project/skater,2018-09-21 07:03:32.000000,,7741.0,8487.0,https://anaconda.org/conda-forge/skater,2020-11-01 15:57:12.273000,32079.0,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n514,TFEncrypted,tf-encrypted/tf-encrypted,tf-encrypted,,,privacy-ml,['tensorflow'],https://github.com/tf-encrypted/tf-encrypted,https://github.com/tf-encrypted/tf-encrypted,Apache-2.0,2018-03-21 18:22:13.000000,2020-11-19 15:48:03.000000,2020-08-19 16:56:56.000000,133.0,162.0,230.0,806.0,595.0,2019-09-27 20:00:01.000000,0.5.9,35.0,A Framework for Encrypted Machine Learning in TensorFlow.,54.0,46.0,28.0,21,https://pypi.org/project/tf-encrypted,2019-10-21 18:05:53.000000,8.0,564.0,564.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n515,scikit-cuda,lebedov/scikit-cuda,scikit-cuda,,,gpu-utilities,,https://github.com/lebedov/scikit-cuda,https://github.com/lebedov/scikit-cuda,BSD-3-Clause,2010-09-27 02:02:07.000000,2020-07-13 12:48:39.000000,2020-07-13 12:47:46.000000,154.0,36.0,163.0,788.0,1026.0,2019-05-27 00:29:00.000000,0.5.3,7.0,Python interface to GPU-powered libraries.,143.0,112.0,44.0,21,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00.000000,31.0,640.0,640.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n516,tf-explain,sicara/tf-explain,tf-explain,,,interpretability,['tensorflow'],https://github.com/sicara/tf-explain,https://github.com/sicara/tf-explain,MIT,2019-07-15 08:26:24.000000,2020-11-03 07:30:20.000000,2020-07-24 08:03:58.000000,66.0,33.0,41.0,747.0,192.0,2020-02-14 09:00:00.000000,0.2.1,6.0,Interpretability Methods for tf.keras models with Tensorflow 2.x.,58.0,57.0,11.0,21,https://pypi.org/project/tf-explain,2020-02-14 09:04:51.000000,1.0,1154.0,1154.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n517,iNNvestigate,albermax/innvestigate,innvestigate,,,interpretability,['tensorflow'],https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20.000000,2020-12-30 15:22:24.000000,2020-10-16 15:26:56.000000,168.0,71.0,126.0,743.0,882.0,2019-03-19 14:31:31.000000,1.0.9,2.0,A toolbox to iNNvestigate neural networks' predictions!.,43.0,42.0,18.0,21,https://pypi.org/project/innvestigate,2020-11-14 11:35:59.000000,1.0,425.0,425.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n518,gmaps,pbugnion/gmaps,gmaps,conda-forge/gmaps,,geospatial-data,['jupyter'],https://github.com/pbugnion/gmaps,https://github.com/pbugnion/gmaps,BSD-3-Clause,2014-12-01 09:12:06.000000,2020-10-13 07:09:18.000000,2019-07-22 06:22:45.000000,141.0,63.0,135.0,693.0,1380.0,2019-07-21 08:49:48.715000,0.9.0,93.0,Google maps for Jupyter notebooks.,38.0,1.0,16.0,21,https://pypi.org/project/gmaps,2019-07-20 07:47:04.000000,37.0,3492.0,9412.0,https://anaconda.org/conda-forge/gmaps,2019-08-02 11:56:50.940000,200242.0,False,3,,,,,,,,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715000,,1370.0,,,,,,,,,,,\n519,ogb,snap-stanford/ogb,ogb,,,graph,,https://github.com/snap-stanford/ogb,https://github.com/snap-stanford/ogb,MIT,2019-11-22 22:13:57.000000,2020-12-29 18:22:45.000000,2020-12-29 18:20:58.000000,95.0,,84.0,685.0,394.0,2020-12-29 18:13:08.000000,1.2.4,10.0,\"Benchmark datasets, data loaders, and evaluators for graph machine learning.\",37.0,37.0,12.0,21,https://pypi.org/project/ogb,2020-12-29 18:08:55.000000,0.0,1573.0,1573.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n520,Darts,unit8co/darts,u8darts,,,time-series-data,,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000000,2021-01-01 08:31:52.000000,2020-11-09 15:33:02.000000,82.0,15.0,40.0,678.0,284.0,2020-11-09 16:00:41.000000,0.5.0,8.0,A python library for easy manipulation and forecasting of time series.,11.0,11.0,23.0,21,https://pypi.org/project/u8darts,2020-11-09 16:00:41.000000,,1051.0,1053.0,,,,True,3,,,,unit8/darts,https://hub.docker.com/r/unit8/darts,2020-10-06 11:35:55.085411,,75.0,,,,,,,,,,,,,,,,\n521,TreeInterpreter,andosa/treeinterpreter,treeinterpreter,,,interpretability,['sklearn'],https://github.com/andosa/treeinterpreter,https://github.com/andosa/treeinterpreter,BSD-3-Clause,2015-08-02 20:26:21.000000,2020-10-03 02:17:19.000000,2020-06-22 18:40:46.000000,128.0,19.0,1.0,631.0,34.0,2018-12-16 14:02:34.000000,0.2.2,4.0,Package for interpreting scikit-learn's decision tree and random forest predictions.,113.0,109.0,10.0,21,https://pypi.org/project/treeinterpreter,2018-12-16 14:02:34.000000,4.0,73490.0,73490.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n522,Prince,MaxHalford/prince,prince,,,others,['sklearn'],https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000000,2020-10-06 11:48:49.000000,2020-10-06 11:26:04.000000,108.0,25.0,64.0,547.0,178.0,2020-10-06 11:26:47.000000,0.7.1,41.0,\"Python factor analysis library (PCA, CA, MCA, MFA, FAMD).\",99.0,96.0,9.0,21,https://pypi.org/project/prince,2020-10-06 11:26:47.000000,3.0,4811.0,4811.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n523,Sentinelsat,sentinelsat/sentinelsat,sentinelsat,,,geospatial-data,,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26.000000,2020-12-30 08:09:13.000000,2020-12-28 20:01:10.000000,162.0,29.0,205.0,532.0,771.0,2020-06-12 07:15:51.000000,0.14,36.0,Search and download Copernicus Sentinel satellite images.,177.0,155.0,34.0,21,https://pypi.org/project/sentinelsat,2020-06-12 07:08:37.000000,22.0,7863.0,7866.0,,,,False,3,186.0,,,,,,,,,,,,,,,,,,,,,,,\n524,pickleDB,patx/pickledb,pickledb,,,data-containers,,https://github.com/patx/pickledb,https://github.com/patx/pickledb,BSD-3-Clause,2011-10-28 00:04:40.000000,2020-08-25 09:47:52.000000,2019-11-15 03:38:30.000000,92.0,16.0,39.0,527.0,105.0,2019-01-13 22:40:32.000000,0.9.1,19.0,pickleDB is an open source key-value store using Python's json module.,528.0,426.0,11.0,21,https://pypi.org/project/pickledb,2019-01-13 22:40:32.000000,102.0,17241.0,17241.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n525,Studio.ml,studioml/studio,studioml,,,ml-experiments,,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28.000000,2020-12-28 19:56:52.000000,2020-12-17 01:27:05.000000,48.0,56.0,187.0,367.0,2309.0,2020-12-17 01:37:51.000000,0.0.36,172.0,Studio: Simplify and expedite model building process.,2.0,2.0,21.0,21,https://pypi.org/project/studioml,2020-12-28 19:56:52.000000,,1363.0,1363.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n526,Pandas Summary,mouradmourafiq/pandas-summary,pandas-summary,,,data-containers,['pandas'],https://github.com/mouradmourafiq/pandas-summary,https://github.com/mouradmourafiq/pandas-summary,MIT,2016-03-25 21:59:32.000000,2019-08-24 21:10:25.000000,2019-08-24 21:10:24.000000,33.0,8.0,5.0,358.0,24.0,2016-08-30 07:54:59.000000,0.0.41,8.0,An extension to pandas dataframes describe function.,565.0,546.0,6.0,21,https://pypi.org/project/pandas-summary,2016-08-30 07:54:59.000000,19.0,18866.0,18866.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n527,Neuraxle,Neuraxio/Neuraxle,neuraxle,,,hyperopt,,https://github.com/Neuraxio/Neuraxle,https://github.com/Neuraxio/Neuraxle,Apache-2.0,2019-03-26 21:01:54.000000,2020-12-24 21:58:07.000000,2020-12-09 04:28:21.000000,39.0,118.0,125.0,343.0,1285.0,2020-09-20 16:29:39.000000,0.5.6,18.0,A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right..,17.0,17.0,7.0,21,https://pypi.org/project/neuraxle,2020-09-20 16:29:39.000000,0.0,357.0,357.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n528,PyTorch Sparse,rusty1s/pytorch_sparse,torch-sparse,,,pytorch-utils,['pytorch'],https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53.000000,2020-12-30 09:48:16.000000,2020-12-30 09:48:15.000000,43.0,32.0,45.0,325.0,507.0,2020-11-02 10:42:59.000000,0.6.8,21.0,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,17.0,,12.0,21,https://pypi.org/project/torch-sparse,2020-11-02 10:43:20.000000,17.0,4629.0,4629.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n529,torch-cluster,rusty1s/pytorch_cluster,torch-cluster,,,graph,['pytorch'],https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06.000000,2020-12-07 09:11:31.000000,2020-12-07 09:11:30.000000,62.0,34.0,37.0,314.0,498.0,2020-10-31 14:42:35.000000,1.5.8,38.0,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,16.0,,17.0,21,https://pypi.org/project/torch-cluster,2020-10-31 14:42:35.000000,16.0,3312.0,3312.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n530,BioPandas,rasbt/biopandas,biopandas,conda-forge/biopandas,,others,['pandas'],https://github.com/rasbt/biopandas,https://github.com/rasbt/biopandas,BSD-3-Clause,2015-11-21 00:00:14.000000,2020-11-09 18:19:23.000000,2020-11-09 18:19:22.000000,75.0,16.0,18.0,311.0,142.0,2020-08-04 13:52:27.000000,0.2.7,11.0,Working with molecular structures in pandas DataFrames.,50.0,47.0,7.0,21,https://pypi.org/project/biopandas,2020-08-04 13:49:59.000000,3.0,308.0,1552.0,https://anaconda.org/conda-forge/biopandas,2020-08-08 06:33:59.197000,60979.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n531,NIPY,nipy/nipy,nipy,conda-forge/nipy,,medical-data,,https://github.com/nipy/nipy,https://github.com/nipy/nipy,DSDP,2010-05-02 10:00:33.000000,2020-11-24 19:22:47.000000,2020-10-14 22:51:30.000000,123.0,43.0,104.0,289.0,6371.0,2018-02-19 14:14:08.000000,0.4.2,6.0,Neuroimaging in Python FMRI analysis package.,29.0,,63.0,21,https://pypi.org/project/nipy,2018-02-19 14:14:08.000000,29.0,864.0,2526.0,https://anaconda.org/conda-forge/nipy,2020-05-04 19:38:04.112000,69842.0,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n532,caer,jasmcaus/caer,caer,,,image,,https://github.com/jasmcaus/caer,https://github.com/jasmcaus/caer,MIT,2020-08-06 18:36:14.000000,2020-12-18 09:43:18.000000,2020-12-15 13:05:47.000000,32.0,4.0,5.0,285.0,4754.0,2020-12-09 06:54:27.000000,1.9.4,105.0,\"A lightweight, scalable, GPU-accelerated Computer Vision library for high-performance AI research.\",,,2.0,21,https://pypi.org/project/caer,2020-12-09 06:52:51.000000,,696735.0,696737.0,,,,True,3,10.0,,,,,,,,,,,,,,,,,,,,,,,\n533,pymap3d,geospace-code/pymap3d,pymap3d,conda-forge/pymap3d,,geospatial-data,,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03.000000,2020-12-23 03:44:01.000000,2020-12-23 03:43:54.000000,55.0,2.0,22.0,168.0,622.0,2020-09-21 15:20:10.000000,2.4.3,45.0,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,3.0,,8.0,21,https://pypi.org/project/pymap3d,2020-09-21 15:16:49.000000,3.0,12532.0,13111.0,https://anaconda.org/conda-forge/pymap3d,2020-09-24 05:54:07.357000,5796.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n534,gokart,m3dev/gokart,gokart,,,ml-experiments,,https://github.com/m3dev/gokart,https://github.com/m3dev/gokart,MIT,2018-12-23 07:40:27.000000,2021-01-01 10:28:01.000000,2020-12-31 01:12:57.000000,30.0,9.0,19.0,154.0,307.0,2020-12-21 12:17:37.000000,0.3.21,45.0,A wrapper of the data pipeline library luigi.,30.0,28.0,24.0,21,https://pypi.org/project/gokart,2020-02-25 06:01:19.000000,2.0,717.0,717.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n535,beautifulsoup4,,beautifulsoup4,conda-forge/beautifulsoup4,,web-scraping,,,http://www.crummy.com/software/BeautifulSoup/bs4/,MIT,2017-02-22 14:59:00.739000,2020-10-03 17:19:11.351000,,,,,,,2020-10-03 15:37:19.000000,4.9.3,33.0,Screen-scraping library.,61666.0,,,21,https://pypi.org/project/beautifulsoup4,2020-10-03 15:37:19.000000,61666.0,10051565.0,10119832.0,https://anaconda.org/conda-forge/beautifulsoup4,2020-10-03 17:19:11.351000,3208552.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n536,Dejavu,worldveil/dejavu,PyDejavu,,,audio,,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35.000000,2020-10-29 17:40:17.000000,2020-06-03 05:58:03.000000,1236.0,83.0,129.0,5273.0,146.0,2015-04-19 21:20:16.000000,0.1.3,4.0,Audio fingerprinting and recognition in Python.,17.0,16.0,23.0,20,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16.000000,1.0,138.0,138.0,,,,True,3,,,,,,,,,,,,,,,-2.0,,,,,,,,,\n537,cuDF,rapidsai/cudf,cudf,,,gpu-utilities,,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000000,2020-12-31 09:21:02.000000,2020-12-31 01:37:25.000000,470.0,565.0,2687.0,3571.0,,2020-12-10 17:28:54.000000,0.17.0,5.0,cuDF - GPU DataFrame Library.,2.0,,197.0,20,https://pypi.org/project/cudf,2020-06-01 20:07:47.000000,2.0,828.0,828.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n538,DeepMatcher,anhaidgroup/deepmatcher,deepmatcher,,,nlp,,https://github.com/anhaidgroup/deepmatcher,https://github.com/anhaidgroup/deepmatcher,BSD-3-Clause,2017-12-01 19:01:11.000000,2020-09-27 17:25:56.000000,2020-04-20 02:34:24.000000,1260.0,47.0,15.0,3344.0,169.0,2019-12-30 19:49:33.000000,0.1.1,9.0,Python package for performing Entity and Text Matching using Deep Learning.,9.0,9.0,7.0,20,https://pypi.org/project/deepmatcher,2019-12-30 19:49:33.000000,,256.0,256.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n539,AutoScraper,alirezamika/autoscraper,autoscraper,,,web-scraping,,https://github.com/alirezamika/autoscraper,https://github.com/alirezamika/autoscraper,MIT,2020-08-31 12:02:19.000000,2020-12-15 09:03:03.000000,2020-12-15 09:03:02.000000,293.0,3.0,24.0,3159.0,124.0,2020-11-29 13:02:41.000000,1.1.10,13.0,\"A Smart, Automatic, Fast and Lightweight Web Scraper for Python.\",18.0,18.0,6.0,20,https://pypi.org/project/autoscraper,2020-11-29 13:03:11.000000,,812.0,812.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n540,MindsDB,mindsdb/mindsdb,mindsdb,,,ml-frameworks,['pytorch'],https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,GPL-3.0,2018-08-02 17:56:45.000000,2020-12-30 11:21:00.000000,2020-12-25 08:31:25.000000,404.0,36.0,461.0,3119.0,,2020-12-25 13:03:50.000000,2.17.1,42.0,Predictive AI layer for existing databases.,3.0,,55.0,20,https://pypi.org/project/mindsdb,2019-03-19 05:07:23.000000,3.0,2937.0,2937.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n541,TRFL,deepmind/trfl,trfl,,,reinforcement-learning,['tensorflow'],https://github.com/deepmind/trfl,https://github.com/deepmind/trfl,Apache-2.0,2018-08-08 14:44:11.000000,2020-11-06 04:44:44.000000,2020-04-20 13:05:56.000000,364.0,4.0,16.0,3060.0,116.0,2020-04-20 14:11:57.000000,1.1.0,4.0,TensorFlow Reinforcement Learning.,38.0,36.0,12.0,20,https://pypi.org/project/trfl,2020-04-20 14:11:57.000000,2.0,685.0,685.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n542,DALI,NVIDIA/DALI,,,,gpu-utilities,,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000000,2020-12-31 15:37:07.000000,2020-12-28 09:18:22.000000,358.0,181.0,578.0,3010.0,1644.0,2020-12-30 12:56:47.000000,0.29.0,35.0,A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep..,,,53.0,20,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n543,FATE,FederatedAI/FATE,,,,privacy-ml,,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000000,2020-12-31 09:54:52.000000,2020-12-30 03:30:14.000000,768.0,249.0,518.0,2652.0,6602.0,2020-11-13 13:36:14.000000,1.5.0,24.0,An Industrial Grade Federated Learning Framework.,,,50.0,20,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n544,BytePS,bytedance/byteps,byteps,,,distributed-ml,,https://github.com/bytedance/byteps,https://github.com/bytedance/byteps,Apache-2.0,2019-06-25 07:00:13.000000,2020-12-31 06:41:21.000000,2020-12-29 08:06:14.000000,363.0,70.0,132.0,2589.0,409.0,2020-08-27 15:42:13.000000,0.2.4,7.0,A high performance and generic framework for distributed DNN training.,,,16.0,20,https://pypi.org/project/byteps,2020-11-04 00:05:46.000000,,134.0,183.0,,,,True,3,,,,bytepsimage/tensorflow,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,939.0,,,,,,,,,,,,,,,,\n545,finmarketpy,cuemacro/finmarketpy,finmarketpy,,,financial-data,,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03.000000,2020-12-26 18:45:33.000000,2020-12-26 18:45:28.000000,411.0,21.0,3.0,2420.0,642.0,2020-10-20 09:25:52.000000,0.11.7,8.0,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,3.0,3.0,14.0,20,https://pypi.org/project/finmarketpy,2020-10-20 09:28:00.000000,,79.0,79.0,,,,True,3,39.0,,,,,,,,,,,,,,,,,,,,,,,\n546,NeMo,NVIDIA/NeMo,nemo-toolkit,,,nlp,['pytorch'],https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000000,2020-12-30 06:56:23.000000,2020-12-26 04:18:17.000000,357.0,159.0,234.0,2286.0,,2020-07-10 00:01:18.000000,0.11.0,36.0,NeMo: a toolkit for conversational AI.,4.0,,67.0,20,https://pypi.org/project/nemo-toolkit,2020-12-11 21:33:53.000000,4.0,1943.0,1995.0,,,,True,3,844.0,,,,,,,,,,,,,,,,,,,,,,,\n547,Texthero,jbesomi/texthero,texthero,,,nlp,,https://github.com/jbesomi/texthero,https://github.com/jbesomi/texthero,MIT,2020-04-06 15:16:05.000000,2020-12-09 16:49:27.000000,2020-11-03 07:58:36.000000,177.0,73.0,48.0,2020.0,267.0,2020-07-06 20:32:28.000000,1.0.9,9.0,\"Text preprocessing, representation and visualization from zero to hero.\",,,18.0,20,https://pypi.org/project/texthero,2020-07-06 20:29:25.000000,,3181.0,3187.0,,,,True,3,57.0,,,,,,,,,,,,,,,,,,,,,,,\n548,Kashgari,BrikerMan/Kashgari,kashgari-tf,,,nlp,['tensorflow'],https://github.com/BrikerMan/Kashgari,https://github.com/BrikerMan/Kashgari,Apache-2.0,2019-01-19 01:53:28.000000,2020-12-09 02:13:33.000000,2020-10-29 08:08:00.000000,373.0,31.0,296.0,1981.0,,2020-10-30 12:37:01.000000,2.0.1,23.0,Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-..,20.0,19.0,19.0,20,https://pypi.org/project/kashgari-tf,2019-06-26 12:27:50.000000,1.0,194.0,194.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n549,AmpliGraph,Accenture/AmpliGraph,ampligraph,,,graph,['tensorflow'],https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05.000000,2020-08-25 17:19:24.000000,2020-08-25 17:00:58.000000,153.0,18.0,155.0,1396.0,895.0,2020-08-25 17:06:46.000000,1.3.2,11.0,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,9.0,9.0,14.0,20,https://pypi.org/project/ampligraph,2020-08-25 16:59:58.000000,,539.0,539.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n550,DELTA,Delta-ML/delta,delta-nlp,,,nlp,['tensorflow'],https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57.000000,2020-12-31 15:37:47.228163,2020-12-17 06:57:15.000000,269.0,9.0,65.0,1355.0,932.0,2020-07-16 09:31:45.000000,0.3.3,4.0,DELTA is a deep learning based natural language and speech processing platform.,,,41.0,20,https://pypi.org/project/delta-nlp,2020-03-27 04:46:19.000000,,24.0,605.0,,,,True,3,,,,zh794390558/delta,https://hub.docker.com/r/zh794390558/delta,2020-12-31 15:37:47.228163,,11629.0,,,,,,,,,,,,,,,,\n551,ThunderSVM,Xtra-Computing/thundersvm,thundersvm,,,ml-frameworks,,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04.000000,2020-12-14 03:08:11.000000,2020-12-14 03:08:11.000000,164.0,42.0,144.0,1247.0,896.0,2020-03-13 12:36:30.000000,0.3.12,9.0,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,,,33.0,20,https://pypi.org/project/thundersvm,2020-03-13 12:36:30.000000,,379.0,420.0,,,,True,3,2068.0,,,,,,,,,,,,,,,,,,,,,,,\n552,db.py,yhat/db.py,db.py,,,db-clients,,https://github.com/yhat/db.py,https://github.com/yhat/db.py,BSD-2-Clause,2014-10-26 15:36:57.000000,2019-12-13 18:00:10.000000,2017-03-31 14:41:30.000000,110.0,32.0,21.0,1205.0,233.0,2017-03-31 14:41:57.000000,0.5.3,35.0,db.py is an easier way to interact with your databases.,19.0,,24.0,20,https://pypi.org/project/db.py,2017-03-31 14:41:57.000000,19.0,675.0,675.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n553,Sweetviz,fbdesignpro/sweetviz,sweetviz,,,data-viz,,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47.000000,2020-12-10 14:32:35.000000,2020-12-10 14:30:47.000000,132.0,21.0,43.0,1179.0,77.0,2020-12-10 14:32:35.000000,2.0.4,22.0,\"Visualize and compare datasets, target values and associations, with one line of code.\",,,6.0,20,https://pypi.org/project/sweetviz,2020-12-10 14:32:35.000000,,8139.0,8139.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n554,datatable,h2oai/datatable,datatable,,,data-containers,,https://github.com/h2oai/datatable,https://github.com/h2oai/datatable,MPL-2.0,2017-03-03 02:32:59.000000,2020-12-22 20:01:37.000000,2020-12-18 17:52:58.000000,95.0,112.0,1101.0,1079.0,,2020-12-10 09:10:50.000000,0.11.1,15.0,A Python package for manipulating 2-dimensional tabular data structures.,6.0,,28.0,20,https://pypi.org/project/datatable,2020-12-10 08:04:03.000000,6.0,17493.0,17510.0,,,,True,3,712.0,,,,,,,,,,,,,,,,,,,,,,,\n555,FARM,deepset-ai/FARM,farm,,,nlp,['pytorch'],https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12.000000,2020-12-30 08:59:30.000000,2020-12-29 18:29:08.000000,145.0,32.0,277.0,1062.0,510.0,2020-12-30 11:45:23.000000,0.6.0,20.0,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,2.0,,28.0,20,https://pypi.org/project/farm,2020-12-30 08:59:30.000000,2.0,5967.0,5967.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n556,Classy Vision,facebookresearch/ClassyVision,classy_vision,conda-forge/classy_vision,,image,['pytorch'],https://github.com/facebookresearch/ClassyVision,https://github.com/facebookresearch/ClassyVision,MIT,2019-09-13 22:54:44.000000,2020-12-30 06:26:07.000000,2020-12-23 20:44:46.000000,183.0,46.0,40.0,1019.0,313.0,2020-11-20 16:42:56.000000,0.5.0,15.0,An end-to-end PyTorch framework for image and video classification.,,,51.0,20,https://pypi.org/project/classy_vision,2020-11-20 21:02:29.000000,,380.0,829.0,https://anaconda.org/conda-forge/classy_vision,2020-12-11 20:08:25.437000,5397.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n557,Sockeye,awslabs/sockeye,sockeye,,,nlp,['mxnet'],https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30.000000,2020-12-22 13:56:02.000000,2020-12-14 11:06:20.000000,287.0,17.0,218.0,980.0,729.0,2020-11-18 13:41:36.000000,2.3.2,59.0,Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet.,2.0,,52.0,20,https://pypi.org/project/sockeye,2020-11-05 14:07:57.000000,2.0,626.0,626.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n558,gplearn,trevorstephens/gplearn,gplearn,,,others,['sklearn'],https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14.000000,2020-02-15 08:12:38.000000,2020-02-15 08:12:17.000000,149.0,28.0,114.0,900.0,146.0,2019-06-01 02:04:52.000000,0.4.1,5.0,\"Genetic Programming in Python, with a scikit-learn inspired API.\",120.0,113.0,10.0,20,https://pypi.org/project/gplearn,2019-06-01 02:04:52.000000,7.0,1142.0,1142.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n559,Haiku,deepmind/dm-haiku,,,,ml-frameworks,,https://github.com/deepmind/dm-haiku,https://github.com/deepmind/dm-haiku,Apache-2.0,2020-02-18 07:14:02.000000,2020-12-30 11:04:26.000000,2020-12-22 16:29:34.000000,61.0,18.0,47.0,878.0,430.0,2020-11-24 11:25:05.000000,0.0.3,5.0,JAX-based neural network library.,53.0,53.0,32.0,20,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n560,attention-ocr,emedvedev/attention-ocr,aocr,,,ocr,['tensorflow'],https://github.com/emedvedev/attention-ocr,https://github.com/emedvedev/attention-ocr,MIT,2017-07-21 18:35:19.000000,2020-10-31 19:40:20.000000,2020-10-31 19:40:19.000000,226.0,16.0,125.0,822.0,196.0,2020-10-12 06:56:40.000000,0.7.6,21.0,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,15.0,15.0,27.0,20,https://pypi.org/project/aocr,2019-04-19 05:28:27.000000,,121.0,121.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n561,nude.py,hhatto/nude.py,nudepy,,,image,,https://github.com/hhatto/nude.py,https://github.com/hhatto/nude.py,MIT,2013-06-09 06:55:55.000000,2020-11-23 13:49:32.000000,2020-11-23 13:49:02.000000,128.0,6.0,2.0,785.0,79.0,2020-11-23 13:49:17.000000,0.5.1,10.0,Nudity detection with Python.,58.0,49.0,12.0,20,https://pypi.org/project/nudepy,2020-11-23 13:49:17.000000,9.0,518.0,518.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n562,keras-ocr,faustomorales/keras-ocr,keras-ocr,,,ocr,['tensorflow'],https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50.000000,2020-12-11 02:31:17.000000,2020-11-26 17:18:25.000000,166.0,27.0,95.0,732.0,161.0,2020-11-26 17:19:39.000000,0.8.6,26.0,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,1.0,,9.0,20,https://pypi.org/project/keras-ocr,2020-11-26 17:19:39.000000,1.0,1705.0,4604.0,,,,True,3,11596.0,,,,,,,,,,,,,,,,,,,,,,,\n563,Madmom,CPJKU/madmom,madmom,,,audio,,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06.000000,2020-04-14 03:42:18.000000,2019-12-19 14:46:37.000000,116.0,43.0,177.0,694.0,1722.0,2018-11-14 14:57:41.000000,0.16.1,11.0,Python audio and music signal processing library.,121.0,113.0,19.0,20,https://pypi.org/project/madmom,2018-11-14 14:56:22.000000,8.0,1037.0,1037.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n564,Opacus,pytorch/opacus,opacus,,,privacy-ml,['pytorch'],https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000000,2020-12-29 23:02:32.000000,2020-12-29 23:00:04.000000,87.0,7.0,47.0,692.0,195.0,2020-12-17 17:30:40.000000,0.11.0,6.0,Training PyTorch models with differential privacy.,9.0,9.0,23.0,20,https://pypi.org/project/opacus,2020-12-17 17:30:40.000000,,687.0,690.0,,,,True,3,28.0,,,,,,,,,,,,,,,,,,,,,,,\n565,NeuPy,itdxer/neupy,neupy,,,ml-frameworks,,https://github.com/itdxer/neupy,https://github.com/itdxer/neupy,MIT,2015-08-24 19:45:11.000000,2020-01-15 08:04:33.000000,2019-09-02 19:02:38.000000,143.0,26.0,229.0,662.0,1145.0,2019-04-04 19:44:59.000000,0.8.2,34.0,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,109.0,99.0,6.0,20,https://pypi.org/project/neupy,2019-04-04 19:43:06.000000,10.0,1071.0,1071.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n566,RecBole,RUCAIBox/RecBole,recbole,aibox/recbole,,recommender-systems,['pytorch'],https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000000,2021-01-01 11:25:36.000000,2020-12-24 05:24:31.000000,89.0,23.0,33.0,659.0,2185.0,2020-12-06 08:38:29.000000,0.1.2,3.0,\"A unified, comprehensive and efficient recommendation library.\",,,21.0,20,https://pypi.org/project/recbole,2020-12-06 08:38:29.000000,,131.0,204.0,https://anaconda.org/aibox/recbole,2020-12-06 10:21:07.722000,147.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n567,NearPy,pixelogik/NearPy,NearPy,,,nn-search,,https://github.com/pixelogik/NearPy,https://github.com/pixelogik/NearPy,MIT,2013-04-25 09:10:26.000000,2020-02-17 20:24:08.000000,2018-10-21 17:54:28.000000,135.0,22.0,38.0,658.0,159.0,2016-09-27 13:04:44.000000,1.0.0,8.0,\"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..\",62.0,47.0,18.0,20,https://pypi.org/project/NearPy,2016-09-27 13:03:12.000000,15.0,1951.0,1951.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n568,finetune,IndicoDataSolutions/finetune,finetune,,,nlp,\"['tensorflow', 'sklearn']\",https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16.000000,2020-12-16 11:18:55.000000,2020-11-24 13:38:51.000000,67.0,18.0,115.0,631.0,1201.0,2019-11-07 19:42:32.000000,0.8.6,37.0,Scikit-learn style model finetuning for NLP.,10.0,8.0,18.0,20,https://pypi.org/project/finetune,2020-01-10 22:42:24.000000,2.0,191.0,191.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n569,TensorBoard Logger,TeamHG-Memex/tensorboard_logger,tensorboard_logger,,,ml-experiments,,https://github.com/TeamHG-Memex/tensorboard_logger,https://github.com/TeamHG-Memex/tensorboard_logger,MIT,2016-10-27 14:02:25.000000,2020-10-27 20:51:06.000000,2019-10-21 07:52:07.000000,52.0,9.0,15.0,610.0,46.0,2018-02-08 07:28:51.000000,0.1.0,5.0,Log TensorBoard events without touching TensorFlow.,42.0,,5.0,20,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51.000000,42.0,69925.0,69925.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n570,mljar-supervised,mljar/mljar-supervised,mljar-supervised,,,hyperopt,,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000000,2020-12-17 14:04:49.000000,2020-12-17 14:02:49.000000,92.0,49.0,199.0,602.0,686.0,2020-12-17 14:04:49.000000,0.7.15,49.0,Automates Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning.,8.0,8.0,7.0,20,https://pypi.org/project/mljar-supervised,2020-12-17 14:03:27.000000,,2870.0,2870.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n571,pdpipe,pdpipe/pdpipe,pdpipe,,,data-pipelines,['pandas'],https://github.com/pdpipe/pdpipe,https://github.com/pdpipe/pdpipe,MIT,2017-01-24 20:37:22.000000,2020-11-17 08:57:21.000000,2020-11-17 08:57:20.000000,29.0,6.0,14.0,574.0,341.0,2020-11-09 09:32:37.000000,0.0.53,49.0,Easy pipelines for pandas DataFrames.,21.0,21.0,8.0,20,https://pypi.org/project/pdpipe,2020-11-09 09:32:37.000000,,1012.0,1012.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n572,torch-scatter,rusty1s/pytorch_scatter,torch-scatter,,,pytorch-utils,['pytorch'],https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23.000000,2020-12-11 20:40:45.000000,2020-12-01 08:40:47.000000,72.0,57.0,103.0,563.0,803.0,2020-06-24 09:29:12.000000,2.0.5,24.0,PyTorch Extension Library of Optimized Scatter Operations.,16.0,,13.0,20,https://pypi.org/project/torch-scatter,2020-02-22 16:51:10.000000,16.0,5696.0,5696.0,,,,True,2,,,,,,,,,,,,,,,,,,,,,,,,\n573,Mapbox GL,mapbox/mapboxgl-jupyter,mapboxgl,,,geospatial-data,['jupyter'],https://github.com/mapbox/mapboxgl-jupyter,https://github.com/mapbox/mapboxgl-jupyter,MIT,2017-08-08 15:10:51.000000,2019-12-13 22:49:07.000000,2019-12-03 21:57:25.000000,117.0,34.0,67.0,549.0,220.0,2019-06-03 21:24:10.000000,0.10.2,20.0,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,105.0,87.0,20.0,20,https://pypi.org/project/mapboxgl,2019-06-02 15:18:57.000000,18.0,5859.0,5859.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n574,Lassie,michaelhelmick/lassie,lassie,,,web-scraping,,https://github.com/michaelhelmick/lassie,https://github.com/michaelhelmick/lassie,MIT,2013-07-30 20:41:39.000000,2020-12-16 20:25:47.000000,2020-12-16 20:25:31.000000,42.0,10.0,29.0,518.0,214.0,2020-12-16 20:18:31.000000,0.11.8,35.0,Web Content Retrieval for Humans.,27.0,20.0,14.0,20,https://pypi.org/project/lassie,2020-12-16 20:18:31.000000,7.0,554.0,554.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n575,alibi-detect,SeldonIO/alibi-detect,alibi-detect,,,others,,https://github.com/SeldonIO/alibi-detect,https://github.com/SeldonIO/alibi-detect,Apache-2.0,2019-10-07 13:29:13.000000,2020-12-28 20:23:57.000000,2020-12-23 10:50:36.000000,52.0,28.0,41.0,474.0,306.0,2020-12-23 10:49:47.000000,0.4.4,9.0,\"Algorithms for outlier and adversarial instance detection, concept drift and metrics.\",17.0,16.0,6.0,20,https://pypi.org/project/alibi-detect,2020-10-08 09:57:19.000000,1.0,1061.0,1061.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n576,pivottablejs,nicolaskruchten/jupyter_pivottablejs,pivottablejs,,,data-viz,['jupyter'],https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,MIT,2015-09-09 13:39:18.000000,2018-12-04 14:43:26.000000,2018-12-04 14:43:25.000000,53.0,16.0,37.0,409.0,32.0,2018-01-15 18:14:37.000000,0.9.0,10.0,\"Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js.\",150.0,136.0,3.0,20,https://pypi.org/project/pivottablejs,2018-01-15 18:14:37.000000,14.0,8441.0,8441.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n577,PyNNDescent,lmcinnes/pynndescent,pynndescent,conda-forge/pynndescent,,nn-search,,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000000,2020-11-28 21:20:02.000000,2020-11-28 21:19:56.000000,43.0,26.0,27.0,352.0,453.0,2020-11-19 20:20:48.000000,0.5.1,20.0,A Python nearest neighbor descent for approximate nearest neighbors.,3.0,,10.0,20,https://pypi.org/project/pynndescent,2020-11-19 20:20:48.000000,3.0,6100.0,7141.0,https://anaconda.org/conda-forge/pynndescent,2020-11-19 22:20:12.326000,19791.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n578,Labml,lab-ml/labml,labml,,,ml-experiments,,https://github.com/lab-ml/labml,https://github.com/lab-ml/labml,MIT,2018-11-16 09:34:48.000000,2020-12-31 10:27:21.000000,2020-12-31 10:27:15.000000,27.0,,6.0,319.0,861.0,2020-12-31 03:57:56.000000,0.4.86,63.0,Monitor PyTorch & TensorFlow model training on mobile phones.,20.0,20.0,5.0,20,https://pypi.org/project/labml,2020-12-31 03:57:56.000000,0.0,1022.0,1022.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n579,MedPy,loli/medpy,MedPy,,,medical-data,,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34.000000,2020-05-01 15:25:39.000000,2020-05-01 15:25:38.000000,104.0,8.0,65.0,309.0,324.0,2019-02-14 17:12:59.000000,0.4.0,6.0,Medical image processing in Python.,219.0,212.0,13.0,20,https://pypi.org/project/MedPy,2019-02-14 17:12:59.000000,7.0,2975.0,2975.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n580,sklearn-evaluation,edublancas/sklearn-evaluation,sklearn-evaluation,,,interpretability,['sklearn'],https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2015-09-04 16:33:42.000000,2020-12-28 15:14:00.000000,2020-12-28 15:10:09.000000,25.0,8.0,27.0,286.0,504.0,2020-12-28 15:14:25.000000,0.5.4,16.0,\"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook..\",28.0,26.0,5.0,20,https://pypi.org/project/sklearn-evaluation,2020-12-28 15:13:44.000000,2.0,306.0,306.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n581,AutoViz,AutoViML/AutoViz,autoviz,,,data-viz,,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06.000000,2020-12-21 03:22:01.000000,2020-12-21 03:21:52.000000,54.0,3.0,16.0,275.0,97.0,2020-12-10 02:33:19.000000,0.0.81,26.0,\"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..\",26.0,26.0,10.0,20,https://pypi.org/project/autoviz,2020-12-10 02:33:19.000000,,1151.0,1151.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n582,Submit it,facebookincubator/submitit,submitit,conda-forge/submitit,,distributed-ml,,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09.000000,2020-12-18 11:03:01.000000,2020-12-04 13:12:27.000000,16.0,9.0,12.0,275.0,33.0,2020-11-19 12:53:49.000000,1.1.5,8.0,Python 3.6+ toolbox for submitting jobs to Slurm.,69.0,69.0,8.0,20,https://pypi.org/project/submitit,2020-12-01 08:14:16.000000,0.0,1829.0,1965.0,https://anaconda.org/conda-forge/submitit,2020-11-19 14:06:58.416000,682.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n583,Queries,gmr/queries,queries,,,db-clients,,https://github.com/gmr/queries,https://github.com/gmr/queries,BSD-3-Clause,2012-08-24 16:12:55.000000,2020-11-04 14:26:15.000000,2020-08-07 16:32:54.000000,27.0,3.0,12.0,231.0,334.0,2020-03-09 17:40:07.000000,2.1.0,29.0,PostgreSQL database access simplified.,108.0,83.0,11.0,20,https://pypi.org/project/queries,2020-03-09 17:40:07.000000,25.0,866.0,866.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n584,StaticFrame,InvestmentSystems/static-frame,static-frame,conda-forge/static-frame,,data-containers,,https://github.com/InvestmentSystems/static-frame,https://github.com/InvestmentSystems/static-frame,MIT,2018-01-03 15:07:52.000000,2020-12-31 17:25:10.000000,2020-12-31 17:24:56.000000,20.0,35.0,229.0,206.0,2169.0,2020-12-14 17:20:49.000000,0.7.8,90.0,\"The StaticFrame library defines the Series and Frame, immutable data structures for one- and two-dimensional..\",5.0,5.0,14.0,20,https://pypi.org/project/static-frame,2020-12-01 04:29:56.000000,,1561.0,4116.0,https://anaconda.org/conda-forge/static-frame,2020-12-14 19:22:26.127000,58784.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n585,stop-words,Alir3z4/python-stop-words,stop-words,,,nlp,,https://github.com/Alir3z4/python-stop-words,https://github.com/Alir3z4/python-stop-words,BSD-3-Clause,2014-05-26 06:44:03.000000,2019-10-16 15:01:43.000000,2018-07-23 21:04:09.000000,19.0,3.0,9.0,120.0,90.0,2018-07-23 20:58:34.000000,2018.7.23,8.0,Get list of common stop words in various languages in Python.,1246.0,1042.0,8.0,20,https://pypi.org/project/stop-words,2018-07-23 20:55:55.000000,204.0,42772.0,42772.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n586,filedepot,amol-/depot,filedepot,,,db-clients,,https://github.com/amol-/depot,https://github.com/amol-/depot,MIT,2014-06-04 10:27:12.000000,2020-07-27 18:27:16.000000,2020-07-27 18:22:42.000000,32.0,6.0,33.0,119.0,257.0,2020-07-27 18:26:46.000000,0.8.0,23.0,Toolkit for storing files and attachments in web applications.,308.0,220.0,18.0,20,https://pypi.org/project/filedepot,2020-07-27 18:27:16.000000,88.0,1989.0,1989.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n587,Photon,s0md3v/Photon,photon,,,web-scraping,,https://github.com/s0md3v/Photon,https://github.com/s0md3v/Photon,GPL-3.0,2018-03-30 19:38:22.000000,2020-10-28 14:01:02.000000,2019-12-06 14:59:47.000000,995.0,33.0,65.0,7440.0,324.0,2019-04-05 15:15:47.000000,1.3.0,18.0,Incredibly fast crawler designed for OSINT.,5.0,,21.0,19,https://pypi.org/project/photon,2019-01-25 01:13:36.000000,5.0,880.0,880.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n588,graph-nets,deepmind/graph_nets,graph-nets,,,graph,['tensorflow'],https://github.com/deepmind/graph_nets,https://github.com/deepmind/graph_nets,Apache-2.0,2018-08-31 08:19:28.000000,2020-12-04 17:43:48.000000,2020-12-04 17:43:47.000000,708.0,13.0,101.0,4715.0,47.0,2020-01-29 16:00:25.000000,1.1.0,7.0,Build Graph Nets in Tensorflow.,7.0,,11.0,19,https://pypi.org/project/graph-nets,2020-01-29 16:00:25.000000,7.0,863.0,863.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n589,Qlib,microsoft/qlib,pyqlib,,,financial-data,['pytorch'],https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000000,2020-12-30 15:51:06.000000,2020-12-30 15:51:05.000000,497.0,48.0,35.0,3382.0,,2020-12-12 09:59:16.000000,0.6.1,15.0,\"Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research,..\",,,24.0,19,https://pypi.org/project/pyqlib,2020-12-12 09:59:16.000000,,2601.0,2647.0,,,,True,3,186.0,,,,,,,,,,,,,,,,,,,,,,,\n590,AdaBound,Luolc/AdaBound,adabound,,,pytorch-utils,['pytorch'],https://github.com/Luolc/AdaBound,https://github.com/Luolc/AdaBound,Apache-2.0,2019-02-15 18:05:20.000000,2019-03-06 17:01:52.000000,2019-03-06 17:01:45.000000,317.0,16.0,7.0,2821.0,27.0,2019-03-06 16:44:42.000000,0.0.5,4.0,An optimizer that trains as fast as Adam and as good as SGD.,99.0,93.0,2.0,19,https://pypi.org/project/adabound,2019-02-26 04:23:45.000000,6.0,963.0,963.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n591,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,torchbiggraph,,,graph,['pytorch'],https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16.000000,2020-12-18 18:07:19.000000,2020-12-18 18:07:13.000000,358.0,31.0,96.0,2630.0,141.0,2019-10-14 16:45:11.000000,1.0.0,3.0,Generate embeddings from large-scale graph-structured data.,4.0,,19.0,19,https://pypi.org/project/torchbiggraph,2019-05-01 21:31:13.000000,4.0,284.0,288.0,,,,True,3,101.0,,,,,,,,,,,,,,,,,,,,,,,\n592,StreamAlert,airbnb/streamalert,,,,others,,https://github.com/airbnb/streamalert,https://github.com/airbnb/streamalert,Apache-2.0,2017-01-22 01:10:56.000000,2020-10-27 21:18:35.000000,2020-10-05 21:15:11.000000,281.0,90.0,247.0,2435.0,1892.0,2020-10-05 21:50:56.000000,3.4.1,27.0,\"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data..\",,,30.0,19,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n593,Apache Singa,apache/singa,,nusdbsystem/singa,,distributed-ml,,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000000,2020-12-11 05:57:25.000000,2020-12-11 05:55:13.000000,571.0,49.0,32.0,2159.0,2261.0,2020-04-21 08:01:08.000000,3.0.0,13.0,a distributed deep learning platform.,,,70.0,19,,,,,7.0,https://anaconda.org/nusdbsystem/singa,2020-10-19 07:39:55.213000,240.0,True,3,,,,apache/singa,https://hub.docker.com/r/apache/singa,2019-06-04 04:32:52.195956,2.0,165.0,,,,,,,,,,,,,,,,\n594,DeepWalk,phanein/deepwalk,deepwalk,,,graph,,https://github.com/phanein/deepwalk,https://github.com/phanein/deepwalk,GPL-3.0,2014-08-23 03:38:20.000000,2020-04-02 01:05:36.000000,2020-04-02 01:05:35.000000,752.0,29.0,78.0,2145.0,46.0,2018-04-29 21:05:18.000000,1.0.3,4.0,DeepWalk - Deep Learning for Graphs.,42.0,35.0,10.0,19,https://pypi.org/project/deepwalk,2018-04-29 21:05:18.000000,7.0,1202.0,1202.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n595,Hummingbird,microsoft/hummingbird,hummingbird-ml,,,model-serialisation,,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000000,2020-12-31 23:58:57.000000,2020-12-31 17:50:41.000000,146.0,47.0,124.0,2040.0,,2020-12-29 20:08:02.000000,0.2.0,8.0,Hummingbird compiles trained ML models into tensor computation for faster inference.,12.0,12.0,17.0,19,https://pypi.org/project/hummingbird-ml,2020-12-29 20:06:43.000000,,768.0,778.0,,,,True,3,84.0,,,,,,,,,,,,,,,,,,,,,,,\n596,Coach,IntelLabs/coach,rl_coach,,,reinforcement-learning,,https://github.com/IntelLabs/coach,https://github.com/IntelLabs/coach,Apache-2.0,2017-10-01 19:27:43.000000,2020-12-21 12:46:30.000000,2020-12-15 08:02:16.000000,374.0,80.0,181.0,1886.0,512.0,2019-10-10 14:17:10.000000,1.0.1,13.0,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,1.0,,34.0,19,https://pypi.org/project/rl_coach,2019-10-10 14:17:10.000000,1.0,141.0,141.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n597,cuML,rapidsai/cuml,cuml,,,gpu-utilities,,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000000,2020-12-31 16:58:44.000000,2020-12-17 22:22:28.000000,300.0,629.0,859.0,1863.0,,2020-12-10 21:50:49.000000,0.17.0,5.0,cuML - RAPIDS Machine Learning Library.,,,118.0,19,https://pypi.org/project/cuml,2019-04-11 16:57:48.000000,,309.0,309.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n598,HiPlot,facebookresearch/hiplot,hiplot,conda-forge/hiplot,,data-viz,,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41.000000,2020-12-31 14:26:56.000000,2020-12-31 14:19:47.000000,88.0,5.0,41.0,1759.0,109.0,2020-11-30 11:40:56.000000,0.1.22,33.0,HiPlot makes understanding high dimensional data easy.,2.0,2.0,6.0,19,https://pypi.org/project/hiplot,2020-12-23 15:11:20.000000,0.0,2497.0,6138.0,https://anaconda.org/conda-forge/hiplot,2020-12-23 17:16:15.884000,40052.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n599,PARL,PaddlePaddle/PARL,parl,,,reinforcement-learning,['paddle'],https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22.000000,2020-12-31 10:33:07.000000,2020-12-25 05:54:44.000000,403.0,45.0,144.0,1755.0,1.0,2020-12-20 00:50:44.000000,1.4,15.0,A high-performance distributed training framework for Reinforcement Learning.,65.0,65.0,20.0,19,https://pypi.org/project/parl,2020-12-20 01:07:28.000000,,433.0,433.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n600,riko,nerevu/riko,riko,,,data-pipelines,,https://github.com/nerevu/riko,https://github.com/nerevu/riko,MIT,2016-06-02 12:22:51.000000,2020-08-14 18:29:28.000000,2020-08-14 16:47:45.000000,70.0,22.0,8.0,1550.0,1257.0,2020-08-14 18:29:28.000000,0.66.0,58.0,A Python stream processing engine modeled after Yahoo! Pipes.,1.0,,18.0,19,https://pypi.org/project/riko,2020-08-14 18:29:28.000000,1.0,227.0,227.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n601,DLTK,DLTK/DLTK,dltk,,,medical-data,['tensorflow'],https://github.com/DLTK/DLTK,https://github.com/DLTK/DLTK,Apache-2.0,2017-05-02 15:40:36.000000,2020-11-13 17:17:16.000000,2019-01-21 14:01:28.000000,378.0,7.0,24.0,1230.0,379.0,,,5.0,Deep Learning Toolkit for Medical Image Analysis.,17.0,17.0,9.0,19,https://pypi.org/project/dltk,2018-02-26 17:43:57.000000,,75.0,75.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n602,doc2text,jlsutherland/doc2text,doc2text,,,ocr,,https://github.com/jlsutherland/doc2text,https://github.com/jlsutherland/doc2text,MIT,2016-08-28 19:30:02.000000,2020-12-01 22:56:27.000000,2020-12-01 22:56:26.000000,92.0,12.0,9.0,1226.0,62.0,2016-09-06 21:59:21.000000,0.2.4,5.0,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,32.0,32.0,5.0,19,https://pypi.org/project/doc2text,2016-09-06 21:59:21.000000,,272.0,272.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n603,TaskTiger,closeio/tasktiger,tasktiger,,,data-pipelines,,https://github.com/closeio/tasktiger,https://github.com/closeio/tasktiger,MIT,2015-05-14 00:26:32.000000,2020-12-23 18:56:06.000000,2020-12-17 16:07:11.000000,58.0,30.0,31.0,1036.0,250.0,2019-10-29 19:32:58.000000,0.10.1,22.0,Python task queue using Redis.,28.0,19.0,19.0,19,https://pypi.org/project/tasktiger,2020-06-18 22:08:56.000000,9.0,424.0,424.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n604,TensorNets,taehoonlee/tensornets,tensornets,,,tensorflow-utils,['tensorflow'],https://github.com/taehoonlee/tensornets,https://github.com/taehoonlee/tensornets,MIT,2017-09-19 05:19:01.000000,2020-10-03 09:19:27.000000,2020-10-03 09:19:17.000000,182.0,14.0,42.0,968.0,283.0,2020-03-31 04:38:27.000000,0.4.6,12.0,High level network definitions with pre-trained weights in TensorFlow.,31.0,29.0,6.0,19,https://pypi.org/project/tensornets,2020-03-31 04:35:15.000000,2.0,326.0,326.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n605,Torch Points 3D,nicolas-chaulet/torch-points3d,torch-points3d,,,image,['pytorch'],https://github.com/nicolas-chaulet/torch-points3d,https://github.com/nicolas-chaulet/torch-points3d,BSD-3-Clause,2019-12-06 11:33:34.000000,2020-12-29 09:37:54.000000,2020-12-29 09:37:54.000000,139.0,41.0,146.0,954.0,1565.0,2020-12-18 10:33:50.000000,1.2.0,13.0,Pytorch framework for doing deep learning on point clouds.,2.0,2.0,18.0,19,https://pypi.org/project/torch-points3d,2020-12-18 10:34:16.000000,,332.0,332.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n606,Databolt Flow,d6t/d6tflow,d6tflow,,,data-pipelines,,https://github.com/d6t/d6tflow,https://github.com/d6t/d6tflow,MIT,2019-02-03 01:51:22.000000,2020-12-19 22:37:20.000000,2020-12-19 21:46:11.000000,64.0,5.0,11.0,891.0,106.0,2020-10-19 04:14:45.000000,0.2.2,19.0,Python library for building highly effective data science workflows.,12.0,12.0,10.0,19,https://pypi.org/project/d6tflow,2020-12-19 22:37:20.000000,,219.0,219.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n607,geoplotlib,andrea-cuttone/geoplotlib,geoplotlib,,,geospatial-data,,https://github.com/andrea-cuttone/geoplotlib,https://github.com/andrea-cuttone/geoplotlib,MIT,2015-02-24 13:13:07.000000,2020-04-10 20:00:31.000000,2019-05-06 07:06:50.000000,141.0,23.0,18.0,885.0,159.0,2016-07-27 14:55:01.000000,0.3.2,4.0,python toolbox for visualizing geographical data and making maps.,94.0,85.0,8.0,19,https://pypi.org/project/geoplotlib,2016-07-27 14:55:01.000000,9.0,1046.0,1046.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n608,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,pytorch_toolbelt,,,pytorch-utils,['pytorch'],https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000000,2020-12-31 08:35:25.000000,2020-12-31 08:35:12.000000,71.0,3.0,14.0,871.0,489.0,2020-08-19 10:33:17.000000,0.4.0,18.0,PyTorch extensions for fast R&D prototyping and Kaggle farming.,1.0,,5.0,19,https://pypi.org/project/pytorch_toolbelt,2020-08-19 10:33:17.000000,1.0,5416.0,5416.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n609,Paddle Graph Learning,PaddlePaddle/PGL,pgl,,,graph,['paddle'],https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28.000000,2020-12-29 02:54:01.000000,2020-12-14 07:02:53.000000,114.0,14.0,28.0,856.0,349.0,2020-12-18 16:59:53.000000,2.0.0a,6.0,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,11.0,9.0,17.0,19,https://pypi.org/project/pgl,2020-11-20 06:23:47.000000,2.0,696.0,696.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n610,TensorFrames,databricks/tensorframes,tensorframes,,,distributed-ml,\"['tensorflow', 'spark']\",https://github.com/databricks/tensorframes,https://github.com/databricks/tensorframes,Apache-2.0,2016-03-04 19:25:19.000000,2020-11-13 17:47:02.000000,2019-11-15 21:43:53.000000,159.0,51.0,43.0,768.0,221.0,2018-11-16 20:50:02.000000,0.6.0,6.0,[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark.,,,16.0,19,https://pypi.org/project/tensorframes,2018-05-16 14:20:28.000000,,6084.0,6084.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n611,YouTokenToMe,vkcom/youtokentome,youtokentome,,,nlp,,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28.000000,2020-10-01 23:24:11.000000,2020-02-13 09:49:37.000000,42.0,21.0,20.0,704.0,76.0,2020-02-13 09:57:47.000000,1.0.6,14.0,Unsupervised text tokenizer focused on computational efficiency.,97.0,91.0,6.0,19,https://pypi.org/project/youtokentome,2020-02-12 18:24:46.000000,6.0,6995.0,6995.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n612,TabNet,dreamquark-ai/tabnet,pytorch-tabnet,,,pytorch-utils,['pytorch'],https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000000,2020-12-26 18:09:43.000000,2020-12-24 13:52:53.000000,131.0,30.0,95.0,698.0,158.0,2020-12-15 12:44:24.000000,3.0.0,15.0,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,,,17.0,19,https://pypi.org/project/pytorch-tabnet,2020-12-15 12:44:24.000000,,4377.0,4377.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n613,TF Recommenders,tensorflow/recommenders,tensorflow-recommenders,,,recommender-systems,['tensorflow'],https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01.000000,2020-12-29 20:25:24.000000,2020-12-29 20:25:14.000000,65.0,24.0,42.0,670.0,,2020-12-22 19:24:59.000000,0.3.2,7.0,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,10.0,10.0,16.0,19,https://pypi.org/project/tensorflow-recommenders,2020-12-22 19:24:59.000000,,3323.0,3323.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n614,mlens,flennerhag/mlens,mlens,,,others,,https://github.com/flennerhag/mlens,https://github.com/flennerhag/mlens,MIT,2017-01-10 20:53:47.000000,2020-02-25 14:32:48.000000,2020-02-25 14:31:53.000000,80.0,8.0,73.0,662.0,879.0,2018-10-30 22:34:35.000000,0.2.3,14.0,ML-Ensemble high performance ensemble learning.,93.0,93.0,7.0,19,https://pypi.org/project/mlens,2018-10-30 22:30:43.000000,,788.0,788.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n615,NGT,yahoojapan/NGT,ngt,,,nn-search,,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000000,2020-11-17 22:33:08.000000,2020-11-17 22:32:45.000000,67.0,7.0,66.0,605.0,113.0,2020-08-19 04:31:59.000000,1.12.2,45.0,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,3.0,,10.0,19,https://pypi.org/project/ngt,2020-09-23 06:52:45.000000,3.0,3400.0,3400.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n616,pytorch-forecasting,jdb78/pytorch-forecasting,pytorch-forecasting,,,time-series-data,,https://github.com/jdb78/pytorch-forecasting,https://github.com/jdb78/pytorch-forecasting,MIT,2020-07-03 13:05:24.000000,2020-12-31 07:41:00.000000,2020-12-31 07:40:52.000000,52.0,21.0,55.0,529.0,538.0,2020-12-07 22:17:50.000000,0.7.1,19.0,Time series forecasting with PyTorch.,,,10.0,19,https://pypi.org/project/pytorch-forecasting,2020-12-03 21:53:32.000000,,3484.0,3484.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n617,gazpacho,maxhumber/gazpacho,gazpacho,,,web-scraping,,https://github.com/maxhumber/gazpacho,https://github.com/maxhumber/gazpacho,MIT,2019-09-23 20:21:55.000000,2020-10-31 18:03:20.000000,2020-10-31 18:03:19.000000,47.0,4.0,29.0,503.0,142.0,2020-10-09 12:51:41.000000,1.1,18.0,\"The simple, fast, and modern web scraping library.\",83.0,81.0,13.0,19,https://pypi.org/project/gazpacho,2020-09-24 17:50:19.000000,2.0,2845.0,2845.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n618,PFRL,pfnet/pfrl,pfrl,,,reinforcement-learning,,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50.000000,2020-12-20 17:22:25.000000,2020-12-17 08:58:39.000000,58.0,22.0,19.0,469.0,315.0,2020-12-17 04:57:58.000000,0.2.1,4.0,PFRL: a PyTorch-based deep reinforcement learning library.,4.0,4.0,10.0,19,https://pypi.org/project/pfrl,2020-12-17 05:00:25.000000,,550.0,550.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n619,N2,kakao/n2,n2,,,nn-search,,https://github.com/kakao/n2,https://github.com/kakao/n2,Apache-2.0,2017-11-23 02:27:59.000000,2020-10-21 05:15:27.000000,2020-10-21 05:14:11.000000,51.0,17.0,21.0,443.0,242.0,2020-10-16 03:43:47.000000,0.1.7,8.0,TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets.,14.0,12.0,17.0,19,https://pypi.org/project/n2,2020-10-16 02:48:11.000000,2.0,416.0,416.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n620,HpBandSter,automl/HpBandSter,hpbandster,,,hyperopt,,https://github.com/automl/HpBandSter,https://github.com/automl/HpBandSter,BSD-3-Clause,2017-12-17 20:28:20.000000,2020-09-06 09:54:54.000000,2019-03-26 09:26:28.000000,90.0,53.0,34.0,431.0,187.0,2019-07-30 12:47:43.000000,1.0,6.0,a distributed Hyperband implementation on Steroids.,119.0,103.0,10.0,19,https://pypi.org/project/hpbandster,2018-10-24 09:31:01.000000,16.0,5261.0,5261.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n621,Poutyne,GRAAL-Research/poutyne,poutyne,,,pytorch-utils,['pytorch'],https://github.com/GRAAL-Research/poutyne,https://github.com/GRAAL-Research/poutyne,LGPL-3.0,2017-12-07 18:30:17.000000,2020-12-31 20:31:32.000000,2020-12-24 16:52:02.000000,47.0,12.0,33.0,422.0,495.0,2020-12-24 17:01:16.000000,1.2,18.0,A simplified framework and utilities for PyTorch.,52.0,50.0,15.0,19,https://pypi.org/project/poutyne,2020-12-24 17:02:00.000000,2.0,831.0,831.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n622,seglearn,dmbee/seglearn,seglearn,,,time-series-data,,https://github.com/dmbee/seglearn,https://github.com/dmbee/seglearn,BSD-3-Clause,2018-03-05 20:53:59.000000,2020-11-08 14:51:01.000000,2020-11-08 14:45:42.000000,46.0,6.0,18.0,408.0,264.0,2020-04-02 15:26:06.000000,1.2.1,20.0,Python module for machine learning time series:.,7.0,6.0,13.0,19,https://pypi.org/project/seglearn,2020-04-02 15:26:06.000000,1.0,2586.0,2586.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n623,Feature Engine,solegalli/feature_engine,feature_engine,conda-forge/feature_engine,,others,,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2018-12-31 01:47:18.000000,2020-12-31 17:43:13.000000,2020-12-31 14:15:16.000000,124.0,29.0,65.0,403.0,95.0,2020-12-31 13:08:09.000000,1.0.0,23.0,Feature engineering package with sklearn like functionality.,2.0,,18.0,19,https://pypi.org/project/feature_engine,2020-12-31 13:08:09.000000,2.0,14029.0,14240.0,https://anaconda.org/conda-forge/feature_engine,2020-12-31 14:05:59.365000,1057.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n624,MXBoard,awslabs/mxboard,mxboard,,,ml-experiments,['mxnet'],https://github.com/awslabs/mxboard,https://github.com/awslabs/mxboard,Apache-2.0,2018-02-06 23:03:51.000000,2020-01-24 23:21:56.000000,2020-01-24 23:21:55.000000,46.0,16.0,15.0,330.0,42.0,2018-05-22 20:25:51.000000,0.1.0,12.0,Logging MXNet data for visualization in TensorBoard.,91.0,90.0,9.0,19,https://pypi.org/project/mxboard,2018-05-22 20:25:51.000000,1.0,2768.0,2768.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n625,PyKEEN,pykeen/pykeen,pykeen,,,graph,,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000000,2020-12-23 14:14:49.000000,2020-12-22 16:20:55.000000,43.0,33.0,57.0,272.0,2255.0,2020-10-21 11:59:14.000000,1.0.5,31.0,A Python library for learning and evaluating knowledge graph embeddings.,1.0,,17.0,19,https://pypi.org/project/pykeen,2020-08-25 14:33:23.000000,1.0,343.0,348.0,,,,True,3,37.0,,,,,,,,,,,,,,,,,,,,,,,\n626,textpipe,textpipe/textpipe,textpipe,,,nlp,,https://github.com/textpipe/textpipe,https://github.com/textpipe/textpipe,MIT,2018-06-21 16:23:32.000000,2020-12-28 07:38:31.000000,2020-10-12 08:19:03.000000,17.0,20.0,24.0,260.0,366.0,2020-10-12 08:24:19.000000,0.12.1,38.0,Textpipe: clean and extract metadata from text.,7.0,6.0,27.0,19,https://pypi.org/project/textpipe,2020-10-12 08:24:19.000000,1.0,452.0,452.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n627,pyfasttext,vrasneur/pyfasttext,pyfasttext,,,nlp,,https://github.com/vrasneur/pyfasttext,https://github.com/vrasneur/pyfasttext,GPL-3.0,2017-06-30 18:44:42.000000,2018-12-08 15:32:09.000000,2018-12-08 15:02:12.000000,31.0,19.0,28.0,229.0,153.0,2018-12-08 15:02:54.000000,0.4.6,13.0,Yet another Python binding for fastText.,132.0,127.0,4.0,19,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09.000000,5.0,2536.0,2543.0,,,,False,3,306.0,,,,,,,,,,,,,,,,,,,,,,,\n628,recmetrics,statisticianinstilettos/recmetrics,recmetrics,,,recommender-systems,,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49.000000,2020-12-03 21:21:02.000000,2020-12-03 21:21:00.000000,52.0,7.0,7.0,220.0,233.0,2019-02-10 16:12:38.000000,0.0.9,11.0,A library of metrics for evaluating recommender systems.,16.0,16.0,12.0,19,https://pypi.org/project/recmetrics,2019-02-10 16:12:38.000000,,990.0,990.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n629,fletcher,xhochy/fletcher,fletcher,conda-forge/fletcher,,data-containers,['pandas'],https://github.com/xhochy/fletcher,https://github.com/xhochy/fletcher,MIT,2018-03-04 16:44:22.000000,2020-12-29 14:05:18.481000,2020-12-29 11:55:14.000000,32.0,33.0,39.0,205.0,509.0,2020-12-29 11:55:52.000000,0.7.1,14.0,Pandas ExtensionDType/Array backed by Apache Arrow.,2.0,2.0,23.0,19,https://pypi.org/project/fletcher,2020-12-07 20:33:59.000000,0.0,483.0,1084.0,https://anaconda.org/conda-forge/fletcher,2020-12-29 14:05:18.481000,18004.0,True,3,12.0,,,,,,,,,,,,,,,,,,,,,,,\n630,Glow,projectglow/glow,glow.py,,,medical-data,,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47.000000,2020-12-30 17:05:30.000000,2020-12-23 18:26:29.000000,41.0,22.0,41.0,151.0,295.0,2020-09-10 18:38:52.000000,0.6.0,9.0,An open-source toolkit for large-scale genomic analysis.,,,11.0,19,https://pypi.org/project/glow.py,2020-09-10 01:15:03.000000,,1350.0,1350.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n631,Spotlight,maciejkula/spotlight,,maciejkula/spotlight,,recommender-systems,['pytorch'],https://github.com/maciejkula/spotlight,https://github.com/maciejkula/spotlight,MIT,2017-06-25 18:52:19.000000,2020-11-15 08:21:28.000000,2020-02-09 21:03:48.000000,366.0,64.0,48.0,2374.0,299.0,2019-09-08 10:19:53.000000,0.1.6,7.0,Deep recommender models using PyTorch.,,,11.0,18,,,,,136.0,https://anaconda.org/maciejkula/spotlight,2018-05-27 18:32:12.235000,5883.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n632,Crypto Signals,CryptoSignal/crypto-signal,,,,financial-data,,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24.000000,2020-12-29 14:48:31.000000,2020-09-03 12:26:48.000000,637.0,43.0,187.0,2372.0,563.0,,,,\"Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 2,100 + stars, 580 + forks.\",,,25.0,18,,,,,1017.0,,,,True,3,,,,shadowreaver/crypto-signal,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133,7.0,40699.0,,,,,,,,,,,,,,,,\n633,NeuroNER,Franck-Dernoncourt/NeuroNER,pyneuroner,,,nlp,,https://github.com/Franck-Dernoncourt/NeuroNER,https://github.com/Franck-Dernoncourt/NeuroNER,MIT,2017-03-07 01:24:15.000000,2020-11-13 18:07:48.000000,2019-10-02 23:26:11.000000,440.0,77.0,67.0,1520.0,132.0,2019-10-02 23:30:15.000000,1.0.8,7.0,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,8.0,8.0,7.0,18,https://pypi.org/project/pyneuroner,2019-10-02 23:30:15.000000,,102.0,102.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n634,Cola,qinxuye/cola,cola,,,web-scraping,,https://github.com/qinxuye/cola,https://github.com/qinxuye/cola,Apache-2.0,2013-05-15 06:41:01.000000,2020-03-01 06:25:06.000000,2020-03-01 06:25:05.000000,544.0,14.0,52.0,1387.0,254.0,2016-03-31 04:19:26.000000,0.1.0,3.0,A high-level distributed crawling framework.,4.0,3.0,3.0,18,https://pypi.org/project/cola,2016-03-31 04:19:26.000000,1.0,43.0,43.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n635,Higher,facebookresearch/higher,higher,,,pytorch-utils,['pytorch'],https://github.com/facebookresearch/higher,https://github.com/facebookresearch/higher,Apache-2.0,2019-09-06 18:58:36.000000,2020-11-23 06:15:24.000000,2020-10-28 16:53:07.000000,73.0,23.0,46.0,1013.0,28.0,2020-07-14 12:20:32.000000,0.2.1,2.0,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,27.0,27.0,6.0,18,https://pypi.org/project/higher,2020-07-14 12:20:32.000000,,715.0,715.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n636,Bounter,RaRe-Technologies/bounter,bounter,,,data-containers,,https://github.com/RaRe-Technologies/bounter,https://github.com/RaRe-Technologies/bounter,MIT,2017-07-18 07:24:15.000000,2020-08-17 06:37:51.000000,2020-08-16 11:55:16.000000,48.0,11.0,9.0,890.0,152.0,2019-01-17 09:39:52.000000,1.1.1,7.0,Efficient Counter that uses a limited (bounded) amount of memory regardless of data size.,34.0,20.0,8.0,18,https://pypi.org/project/bounter,2020-08-17 06:37:51.000000,14.0,343.0,343.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n637,Fiber,uber/fiber,fiber,,,distributed-ml,,https://github.com/uber/fiber,https://github.com/uber/fiber,Apache-2.0,2020-01-07 18:16:24.000000,2020-10-06 14:39:41.000000,2020-10-06 14:39:12.000000,87.0,12.0,5.0,829.0,60.0,2020-07-09 03:28:28.000000,0.2.1,6.0,Distributed Computing for AI Made Simple.,18.0,17.0,5.0,18,https://pypi.org/project/fiber,2020-07-09 03:28:28.000000,1.0,1365.0,1365.0,,,,True,3,,,,,,,,,,,,,,,-2.0,,,,,,,,,\n638,advertorch,BorealisAI/advertorch,advertorch,,,adversarial,['pytorch'],https://github.com/BorealisAI/advertorch,https://github.com/BorealisAI/advertorch,GPL-3.0,2018-11-29 22:17:33.000000,2020-09-25 15:01:47.000000,2020-06-15 01:16:18.000000,118.0,13.0,28.0,781.0,270.0,2020-06-15 01:20:07.000000,0.2.3,10.0,A Toolbox for Adversarial Robustness Research.,32.0,29.0,16.0,18,https://pypi.org/project/advertorch,2020-06-15 01:20:07.000000,3.0,1694.0,1694.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n639,calamari,Calamari-OCR/calamari,calamari_ocr,,,ocr,,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,Apache-2.0,2018-03-20 15:22:29.000000,2020-12-21 11:50:15.000000,2020-12-21 08:28:04.000000,161.0,20.0,132.0,754.0,260.0,2020-03-29 13:38:21.000000,1.0.5,22.0,Line based ATR Engine based on OCRopy.,2.0,,17.0,18,https://pypi.org/project/calamari_ocr,2018-11-13 11:24:45.000000,2.0,461.0,461.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n640,Norfair,tryolabs/norfair,norfair,,,image,,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000000,2020-12-22 05:04:27.000000,2020-12-22 05:04:25.000000,41.0,5.0,11.0,704.0,242.0,2020-12-07 18:34:32.000000,0.1.8,9.0,Lightweight Python library for adding real-time 2D object tracking to any detector.,,,7.0,18,https://pypi.org/project/norfair,2020-12-07 18:34:32.000000,,245.0,245.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n641,pytorch2keras,nerox8664/pytorch2keras,pytorch2keras,,,model-serialisation,,https://github.com/nerox8664/pytorch2keras,https://github.com/nerox8664/pytorch2keras,MIT,2017-11-16 20:21:43.000000,2020-05-14 10:03:56.000000,2020-05-14 10:03:04.000000,109.0,39.0,65.0,647.0,277.0,2020-05-14 10:03:56.000000,0.2.4,23.0,PyTorch to Keras model convertor.,18.0,17.0,11.0,18,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56.000000,1.0,550.0,550.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n642,Test Tube,williamFalcon/test-tube,test_tube,,,hyperopt,,https://github.com/williamFalcon/test-tube,https://github.com/williamFalcon/test-tube,MIT,2017-09-06 02:14:57.000000,2020-04-11 20:36:36.000000,2020-03-17 22:44:47.000000,59.0,22.0,21.0,644.0,642.0,2019-12-01 00:47:35.000000,0.7.4,53.0,Python library to easily log experiments and parallelize hyperparameter search for neural networks.,5.0,,16.0,18,https://pypi.org/project/test_tube,2018-12-12 22:45:59.000000,5.0,7443.0,7443.0,,,,True,3,7.0,,,,,,,,,,,,,,,,,,,,,,,\n643,FairScale,facebookresearch/fairscale,fairscale,,,distributed-ml,['pytorch'],https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000000,2020-12-30 17:54:26.000000,2020-12-30 17:54:25.000000,40.0,23.0,52.0,607.0,184.0,2020-12-02 04:51:42.000000,0.1.1,6.0,PyTorch extensions for high performance and large scale training.,,,18.0,18,https://pypi.org/project/fairscale,2020-12-02 04:49:42.000000,,690.0,690.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n644,Torchbearer,pytorchbearer/torchbearer,torchbearer,,,ml-frameworks,['pytorch'],https://github.com/pytorchbearer/torchbearer,https://github.com/pytorchbearer/torchbearer,MIT,2018-03-12 16:30:42.000000,2020-02-17 21:18:06.000000,2020-02-17 21:18:01.000000,62.0,8.0,237.0,580.0,427.0,2020-01-31 14:07:22.000000,0.5.3,24.0,torchbearer: A model fitting library for PyTorch.,40.0,37.0,13.0,18,https://pypi.org/project/torchbearer,2020-01-31 14:05:56.000000,3.0,378.0,378.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n645,vecstack,vecxoz/vecstack,vecstack,,,others,,https://github.com/vecxoz/vecstack,https://github.com/vecxoz/vecstack,MIT,2016-11-08 13:23:21.000000,2020-09-14 08:31:07.000000,2019-10-30 09:27:48.000000,66.0,,34.0,570.0,189.0,2019-08-12 16:09:01.000000,0.4.0,6.0,Python package for stacking (machine learning technique).,98.0,94.0,1.0,18,https://pypi.org/project/vecstack,2019-08-12 16:01:22.000000,4.0,884.0,884.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n646,baikal,alegonz/baikal,baikal,conda-forge/cython-blis,,others,,https://github.com/alegonz/baikal,https://github.com/alegonz/baikal,BSD-3-Clause,2019-01-21 12:59:02.000000,2020-12-07 11:23:01.451000,2020-11-15 13:39:20.000000,28.0,4.0,11.0,569.0,393.0,2020-05-17 12:40:17.000000,0.4.2,7.0,A graph-based functional API for building complex scikit-learn pipelines.,2.0,2.0,1.0,18,https://pypi.org/project/baikal,2020-11-15 13:40:18.000000,,53.0,17300.0,https://anaconda.org/conda-forge/cython-blis,2020-12-07 11:23:01.451000,379450.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n647,pyhsmm,mattjj/pyhsmm,pyhsmm,,,probabilistics,,https://github.com/mattjj/pyhsmm,https://github.com/mattjj/pyhsmm,MIT,2012-03-18 17:40:13.000000,2020-09-29 20:58:26.000000,2020-08-24 17:03:59.000000,146.0,33.0,60.0,474.0,1426.0,2017-05-10 17:14:37.000000,0.1.7,8.0,Bayesian inference in HSMMs and HMMs.,21.0,17.0,13.0,18,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37.000000,4.0,76.0,76.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n648,PugSQL,mcfunley/pugsql,pugsql,,,db-clients,,https://github.com/mcfunley/pugsql,https://github.com/mcfunley/pugsql,Apache-2.0,2019-05-19 16:55:38.000000,2020-12-15 20:56:53.000000,2020-09-13 06:06:13.000000,13.0,13.0,19.0,406.0,254.0,2020-09-03 22:44:19.000000,0.2.2,23.0,A HugSQL-inspired database library for Python.,1.0,,10.0,18,https://pypi.org/project/pugsql,2020-09-13 05:35:42.000000,1.0,1985.0,1985.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n649,What-If Tool,PAIR-code/what-if-tool,witwidget,,,interpretability,,https://github.com/PAIR-code/what-if-tool,https://github.com/PAIR-code/what-if-tool,Apache-2.0,2018-09-07 20:26:10.000000,2020-12-22 22:05:29.000000,2020-12-22 13:44:23.000000,88.0,36.0,32.0,404.0,289.0,2020-06-28 14:23:49.040000,1.7.0,36.0,Source code/webpage/demos for the What-If Tool.,,,18.0,18,https://pypi.org/project/witwidget,2020-06-28 14:22:37.000000,,2077.0,4127.0,,,,True,3,,,,,,,,,wit-widget,https://www.npmjs.com/package/wit-widget,2020-11-03 16:28:21.255000,,2050.0,,,,,,,,,,,\n650,PyWaffle,gyli/PyWaffle,pywaffle,,,data-viz,,https://github.com/gyli/PyWaffle,https://github.com/gyli/PyWaffle,MIT,2017-11-14 20:03:47.000000,2020-07-26 23:22:17.000000,2020-07-26 23:22:13.000000,59.0,2.0,10.0,372.0,249.0,2020-07-26 19:16:45.000000,0.6.1,22.0,Make Waffle Charts in Python.,38.0,38.0,6.0,18,https://pypi.org/project/pywaffle,2020-07-26 19:16:45.000000,,995.0,995.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n651,Baal,ElementAI/baal,baal,,,probabilistics,,https://github.com/ElementAI/baal,https://github.com/ElementAI/baal,Apache-2.0,2019-09-30 20:16:26.000000,2020-12-29 15:31:36.000000,2020-12-11 19:04:35.000000,24.0,12.0,22.0,304.0,92.0,2020-11-03 21:14:13.000000,1.2.1,7.0,Using approximate bayesian posteriors in deep nets for active learning.,6.0,6.0,8.0,18,https://pypi.org/project/baal,2020-11-03 21:07:08.000000,,167.0,167.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n652,sk-dist,Ibotta/sk-dist,sk-dist,,,distributed-ml,\"['sklearn', 'spark']\",https://github.com/Ibotta/sk-dist,https://github.com/Ibotta/sk-dist,Apache-2.0,2019-08-14 21:07:17.000000,2020-12-29 23:34:29.000000,2020-12-03 22:36:34.000000,42.0,7.0,9.0,250.0,45.0,2020-05-14 22:20:14.000000,0.1.9,12.0,Distributed scikit-learn meta-estimators in PySpark.,8.0,6.0,6.0,18,https://pypi.org/project/sk-dist,2020-05-14 22:20:14.000000,2.0,4559.0,4559.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n653,Brainiak,brainiak/brainiak,brainiak,,,medical-data,,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27.000000,2020-10-15 21:11:03.379549,2020-10-15 16:28:46.000000,105.0,63.0,117.0,228.0,388.0,2019-08-27 23:52:29.000000,0.9.1,15.0,Brain Imaging Analysis Kit.,12.0,11.0,32.0,18,https://pypi.org/project/brainiak,2020-10-15 20:45:08.000000,1.0,116.0,123.0,,,,True,3,,,,brainiak/brainiak,https://hub.docker.com/r/brainiak/brainiak,2020-10-15 21:11:03.379549,1.0,449.0,,,,,,,,,,,,,,,,\n654,Funsor,pyro-ppl/funsor,funsor,,,probabilistics,['pytorch'],https://github.com/pyro-ppl/funsor,https://github.com/pyro-ppl/funsor,Apache-2.0,2019-01-30 23:13:39.000000,2020-12-31 21:36:26.000000,2020-12-31 21:36:25.000000,15.0,55.0,54.0,157.0,459.0,2020-10-15 15:54:49.000000,0.3.0,5.0,Functional tensors for probabilistic programming.,7.0,7.0,9.0,18,https://pypi.org/project/funsor,2020-10-15 15:54:49.000000,,176.0,176.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n655,BatchFlow,analysiscenter/batchflow,batchflow,,,data-pipelines,,https://github.com/analysiscenter/batchflow,https://github.com/analysiscenter/batchflow,Apache-2.0,2017-03-13 14:22:53.000000,2020-12-31 11:47:44.000000,2020-12-08 08:39:00.000000,33.0,52.0,53.0,153.0,4298.0,2019-08-23 12:21:50.000000,0.3.0,3.0,BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and..,,,28.0,18,https://pypi.org/project/batchflow,2019-08-23 12:21:50.000000,,22.0,22.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n656,DeepMind Lab,deepmind/lab,,,,reinforcement-learning,,https://github.com/deepmind/lab,https://github.com/deepmind/lab,GPL-2.0,2016-11-30 13:41:26.000000,2020-12-07 11:25:29.000000,2020-12-07 11:05:16.000000,1286.0,37.0,151.0,6366.0,470.0,2020-12-07 11:26:33.000000,release-2020-12-07,8.0,A customisable 3D platform for agent-based AI research.,,,7.0,17,,,,,,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n657,LIT,PAIR-code/lit,lit-nlp,,,interpretability,,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000000,2020-12-29 20:58:16.000000,2020-11-17 00:43:10.000000,222.0,25.0,27.0,2299.0,,2020-11-17 00:53:31.000000,0.2,4.0,The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and..,,,10.0,17,https://pypi.org/project/lit-nlp,2020-11-17 00:52:37.000000,,224.0,224.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n658,PaddleDetection,PaddlePaddle/PaddleDetection,,,,image,['paddle'],https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000000,2020-12-31 06:57:52.000000,2020-12-31 06:28:43.000000,592.0,273.0,818.0,2160.0,650.0,2019-11-27 05:15:38.000000,0.1.0,1.0,Object detection and instance segmentation toolkit based on PaddlePaddle.,,,43.0,17,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n659,Mara Pipelines,mara/mara-pipelines,mara-pipelines,,,data-pipelines,,https://github.com/mara/mara-pipelines,https://github.com/mara/mara-pipelines,MIT,2018-03-31 20:37:22.000000,2020-12-31 02:02:28.000000,2020-07-31 19:24:31.000000,76.0,6.0,11.0,1598.0,127.0,2020-07-31 19:31:29.000000,3.1.1,7.0,\"A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow.\",7.0,7.0,15.0,17,https://pypi.org/project/mara-pipelines,2020-07-31 19:26:16.000000,,28.0,28.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n660,BlazingSQL,BlazingDB/blazingsql,,blazingsql/blazingsql-protocol,,gpu-utilities,,https://github.com/BlazingDB/blazingsql,https://github.com/BlazingDB/blazingsql,Apache-2.0,2018-09-24 18:25:45.000000,2020-12-23 07:14:25.000000,2020-12-23 00:24:16.000000,133.0,239.0,318.0,1370.0,,2020-12-14 17:43:48.000000,0.17.0,15.0,\"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.\",,,39.0,17,,,,,57.0,https://anaconda.org/blazingsql/blazingsql-protocol,2019-11-11 19:54:17.621000,913.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n661,Advisor,tobegit3hub/advisor,advisor,,,hyperopt,,https://github.com/tobegit3hub/advisor,https://github.com/tobegit3hub/advisor,Apache-2.0,2017-09-14 03:50:33.000000,2019-11-11 07:09:57.869705,2019-11-11 06:59:31.000000,238.0,19.0,13.0,1326.0,165.0,2018-10-18 02:54:09.000000,0.1.6,4.0,Open-source implementation of Google Vizier for hyper parameters tuning.,,,11.0,17,https://pypi.org/project/advisor,2018-10-18 02:54:09.000000,,39.0,77.0,,,,False,3,,,,tobegit3hub/advisor,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1535.0,,,,,,,,,,,,,,,,\n662,Antialiased CNNs,adobe/antialiased-cnns,antialiased-cnns,,,pytorch-utils,['pytorch'],https://github.com/adobe/antialiased-cnns,https://github.com/adobe/antialiased-cnns,CC BY-NC-SA 4.0,2019-05-14 20:51:25.000000,2020-10-23 22:45:52.000000,2020-10-22 19:40:07.000000,167.0,9.0,28.0,1319.0,238.0,2020-10-23 22:45:52.000000,0.3,6.0,pip install antialiased-cnns to improve stability and accuracy.,,,6.0,17,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49.000000,,321.0,321.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n663,River,online-ml/river,,,,others,,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000000,2020-12-29 16:08:00.000000,2020-12-29 16:07:53.000000,152.0,41.0,228.0,1234.0,2886.0,,,,Online machine learning in Python.,,,56.0,17,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n664,Backtesting.py,kernc/backtesting.py,backtesting,,,financial-data,,https://github.com/kernc/backtesting.py,https://github.com/kernc/backtesting.py,AGPL-3.0,2019-01-02 03:11:32.000000,2020-12-24 19:57:36.000000,2020-12-24 19:57:35.000000,217.0,20.0,161.0,876.0,214.0,2017-07-22 02:00:06.000000,0.0.1,1.0,Backtest trading strategies in Python.,,,8.0,17,https://pypi.org/project/backtesting,2017-07-22 02:00:06.000000,,3222.0,3222.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n665,CrypTen,facebookresearch/CrypTen,crypten,,,privacy-ml,['pytorch'],https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000000,2020-12-23 00:12:22.000000,2020-12-23 00:12:14.000000,87.0,15.0,31.0,683.0,227.0,2020-04-21 13:59:37.000000,0.1,1.0,A framework for Privacy Preserving Machine Learning.,5.0,5.0,23.0,17,https://pypi.org/project/crypten,2020-02-05 18:53:03.000000,,155.0,155.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n666,Hivemind,learning-at-home/hivemind,hivemind,,,distributed-ml,,https://github.com/learning-at-home/hivemind,https://github.com/learning-at-home/hivemind,MIT,2020-02-27 13:50:19.000000,2021-01-01 03:16:32.000000,2020-12-29 18:38:42.000000,28.0,15.0,17.0,632.0,287.0,2020-08-28 05:52:35.000000,0.8.2,5.0,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,2.0,1.0,8.0,17,https://pypi.org/project/hivemind,2020-08-28 16:00:22.000000,1.0,30.0,30.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n667,Saliency,PAIR-code/saliency,saliency,,,tensorflow-utils,['tensorflow'],https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35.000000,2020-10-15 21:38:20.000000,2020-10-01 22:54:59.000000,131.0,11.0,10.0,613.0,64.0,2019-09-26 17:59:23.000000,0.0.5,5.0,\"TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques.\",13.0,13.0,12.0,17,https://pypi.org/project/saliency,2019-09-26 17:59:23.000000,,171.0,171.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n668,ADTK,arundo/adtk,adtk,,,time-series-data,,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22.000000,2020-04-29 19:54:40.000000,2020-04-17 02:27:44.000000,70.0,20.0,30.0,581.0,78.0,2020-04-17 02:18:00.000000,0.6.2,13.0,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,,,11.0,17,https://pypi.org/project/adtk,2020-04-17 02:18:00.000000,,31829.0,31829.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n669,ThunderGBM,Xtra-Computing/thundergbm,thundergbm,,,ml-frameworks,,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08.000000,2020-12-21 09:34:40.000000,2020-12-21 09:34:27.000000,71.0,20.0,26.0,573.0,605.0,2020-05-01 23:16:25.000000,0.3.16,24.0,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,,,10.0,17,https://pypi.org/project/thundergbm,2020-05-01 23:16:25.000000,,149.0,149.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n670,Dragonfly,dragonfly/dragonfly,dragonfly-opt,,,hyperopt,,https://github.com/dragonfly/dragonfly,https://github.com/dragonfly/dragonfly,MIT,2018-04-20 22:19:50.000000,2020-07-26 17:44:31.000000,2020-07-03 18:01:17.000000,72.0,21.0,17.0,552.0,397.0,2020-07-03 18:05:12.000000,0.1.6,9.0,An open source python library for scalable Bayesian optimisation.,2.0,,12.0,17,https://pypi.org/project/dragonfly-opt,2020-07-03 18:05:12.000000,2.0,3727.0,3727.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n671,SKLL,EducationalTestingService/skll,skll,,,ml-experiments,['sklearn'],https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,BSD-1-Clause,2013-08-02 14:31:46.000000,2020-12-22 03:22:59.000000,2020-12-04 04:12:24.000000,62.0,43.0,325.0,517.0,,2020-03-13 17:22:26.000000,2.1,63.0,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,45.0,28.0,34.0,17,https://pypi.org/project/skll,2020-03-13 16:23:35.000000,17.0,462.0,462.0,,,,False,3,10.0,,,,,,,,,,,,,,,,,,,,,,,\n672,Performer Pytorch,lucidrains/performer-pytorch,performer-pytorch,,,pytorch-utils,['pytorch'],https://github.com/lucidrains/performer-pytorch,https://github.com/lucidrains/performer-pytorch,MIT,2020-10-03 03:41:36.000000,2020-12-18 23:09:14.000000,2020-12-14 17:09:48.000000,58.0,16.0,29.0,429.0,,2020-12-14 17:10:37.000000,0.14.9,60.0,\"An implementation of Performer, a linear attention-based transformer, in Pytorch.\",6.0,6.0,4.0,17,https://pypi.org/project/performer-pytorch,2020-12-13 20:20:46.000000,,1525.0,1525.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n673,kglib,graknlabs/kglib,grakn-kglib,,,graph,,https://github.com/graknlabs/kglib,https://github.com/graknlabs/kglib,Apache-2.0,2018-09-16 16:46:48.000000,2020-11-10 15:19:42.000000,2020-11-10 15:19:41.000000,68.0,10.0,49.0,381.0,486.0,2020-08-19 15:32:49.000000,0.2.2,7.0,Grakn Knowledge Graph Library (ML R&D).,,,7.0,17,https://pypi.org/project/grakn-kglib,2020-08-19 15:39:10.000000,,78.0,86.0,,,,True,3,206.0,,,,,,,,,,,,,,,,,,,,,,,\n674,Sematch,gsi-upm/sematch,sematch,,,graph,,https://github.com/gsi-upm/sematch,https://github.com/gsi-upm/sematch,Apache-2.0,2012-11-30 11:11:53.000000,2020-11-05 21:20:52.000000,2019-03-27 03:17:24.000000,99.0,14.0,19.0,336.0,122.0,2017-04-17 10:56:52.000000,1.0.4,5.0,semantic similarity framework for knowledge graph.,29.0,26.0,5.0,17,https://pypi.org/project/sematch,2017-04-17 10:56:52.000000,3.0,56.0,56.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n675,datmo,datmo/datmo,datmo,,,ml-experiments,,https://github.com/datmo/datmo,https://github.com/datmo/datmo,MIT,2017-11-03 05:46:43.000000,2019-11-29 00:48:45.000000,2019-11-29 00:48:44.000000,28.0,42.0,149.0,331.0,1051.0,2018-12-07 06:01:12.000000,0.0.40,41.0,Open source production model management tool for data scientists.,5.0,5.0,6.0,17,https://pypi.org/project/datmo,2018-12-07 06:16:42.000000,,151.0,151.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n676,Camphr,PKSHATechnology-Research/camphr,camphr,,,nlp,['spacy'],https://github.com/PKSHATechnology-Research/camphr,https://github.com/PKSHATechnology-Research/camphr,Apache-2.0,2020-02-10 03:39:58.000000,2021-01-01 00:36:31.000000,2021-01-01 00:36:28.000000,15.0,13.0,14.0,320.0,1080.0,2020-12-25 08:53:36.000000,0.7.2,37.0,\"spaCy plugin for Transformers , Udify, ELmo, etc.\",,,7.0,17,https://pypi.org/project/camphr,2020-12-25 08:53:36.000000,,471.0,471.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n677,tick,X-DataInitiative/tick,tick,,,time-series-data,,https://github.com/X-DataInitiative/tick,https://github.com/X-DataInitiative/tick,BSD-3-Clause,2016-12-01 10:59:08.000000,2020-08-11 12:36:43.000000,2020-06-15 12:01:36.000000,73.0,55.0,159.0,319.0,413.0,2019-09-11 11:25:15.000000,0.6,23.0,\"Module for statistical learning, with a particular emphasis on time-dependent modelling.\",29.0,28.0,16.0,17,https://pypi.org/project/tick,2020-05-24 22:01:17.000000,1.0,669.0,672.0,,,,True,3,155.0,,,,,,,,,,,,,,,,,,,,,,,\n678,Case Recommender,caserec/CaseRecommender,caserecommender,,,recommender-systems,['sklearn'],https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39.000000,2020-05-26 22:44:05.000000,2020-05-26 22:44:05.000000,66.0,6.0,16.0,305.0,201.0,2019-08-20 13:38:02.000000,1.1.0,40.0,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems.,5.0,5.0,10.0,17,https://pypi.org/project/caserecommender,2019-08-20 13:42:28.000000,,178.0,178.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n679,apricot,jmschrei/apricot,apricot-select,,,others,,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12.000000,2020-09-30 20:53:48.000000,2020-09-30 20:53:44.000000,28.0,3.0,10.0,299.0,151.0,2020-09-28 07:19:15.000000,0.6.0,13.0,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,9.0,9.0,2.0,17,https://pypi.org/project/apricot-select,2020-09-28 07:19:15.000000,,576.0,576.0,,,,True,3,8.0,,,,,,,,,,,,,,,,,,,,,,,\n680,Orbit,uber/orbit,orbit-ml,,,probabilistics,,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000000,2020-12-23 20:54:13.000000,2020-11-25 22:33:07.000000,12.0,22.0,140.0,296.0,571.0,2020-11-15 23:46:41.000000,1.0.9,9.0,Bayesian forecasting with object-oriented design and probabilistic models under the hood.,2.0,2.0,5.0,17,https://pypi.org/project/orbit-ml,2020-11-15 23:46:41.000000,,154.0,154.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n681,Sherpa,sherpa-ai/sherpa,parameter-sherpa,,,hyperopt,,https://github.com/sherpa-ai/sherpa,https://github.com/sherpa-ai/sherpa,GPL-3.0,2018-05-16 21:41:54.000000,2020-10-18 07:57:50.000000,2020-10-18 07:57:48.000000,42.0,11.0,41.0,277.0,823.0,2020-07-31 05:29:09.000000,1.0.7,8.0,\"Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.\",8.0,7.0,43.0,17,https://pypi.org/project/parameter-sherpa,2019-11-23 21:32:27.000000,1.0,431.0,431.0,,,,False,3,,,,,,,,,,,,,,,-2.0,,,,,,,,,\n682,DeepGraph,deepgraph/deepgraph,deepgraph,conda-forge/deepgraph,,graph,['pandas'],https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45.000000,2020-10-13 10:14:55.018000,2020-10-01 13:17:00.000000,33.0,8.0,4.0,226.0,160.0,2020-10-01 13:20:38.000000,0.2.3,13.0,Analyze Data with Pandas-based Networks. Documentation:.,1.0,1.0,2.0,17,https://pypi.org/project/deepgraph,2020-10-01 13:18:38.000000,,268.0,2106.0,https://anaconda.org/conda-forge/deepgraph,2020-10-13 10:14:55.018000,75380.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n683,ExplainX.ai,explainX/explainx,explainx,,,interpretability,,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15.000000,2020-12-23 22:59:24.000000,2020-12-23 18:51:51.000000,27.0,7.0,12.0,151.0,181.0,2020-10-23 17:30:47.000000,2.403,53.0,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,,,4.0,17,https://pypi.org/project/explainx,2020-12-07 22:26:30.000000,,712.0,712.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n684,ipyexperiments,stas00/ipyexperiments,ipyexperiments,,,gpu-utilities,['jupyter'],https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40.000000,2020-11-17 04:11:19.000000,2020-11-17 04:11:16.000000,9.0,,4.0,123.0,177.0,2020-11-16 07:08:34.000000,0.1.22,21.0,jupyter/ipython experiment containers for GPU and general RAM re-use.,4.0,2.0,3.0,17,https://pypi.org/project/ipyexperiments,2020-11-17 04:10:43.000000,2.0,229.0,229.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n685,nvidia-ml-py3,nicolargo/nvidia-ml-py3,nvidia-ml-py3,,,gpu-utilities,,https://github.com/nicolargo/nvidia-ml-py3,https://github.com/nicolargo/nvidia-ml-py3,BSD-3-Clause,2017-06-03 07:47:03.000000,2019-03-06 20:41:10.000000,2019-03-06 20:41:09.000000,13.0,2.0,,59.0,5.0,,,1.0,Python 3 Bindings for the NVIDIA Management Library.,2406.0,2394.0,2.0,17,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46.000000,12.0,278222.0,278222.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n686,ReAgent,facebookresearch/ReAgent,,,,reinforcement-learning,['pytorch'],https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000000,2020-12-31 01:37:00.000000,2020-12-25 22:56:57.000000,372.0,20.0,73.0,2732.0,1046.0,,,,\"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).\",,,82.0,16,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n687,automl-gs,minimaxir/automl-gs,automl_gs,,,hyperopt,,https://github.com/minimaxir/automl-gs,https://github.com/minimaxir/automl-gs,MIT,2019-01-13 18:57:44.000000,2019-10-22 11:20:40.000000,2019-04-05 06:48:14.000000,157.0,26.0,6.0,1710.0,102.0,2019-04-05 06:51:04.000000,0.2.1,2.0,\"Provide an input CSV and a target field to predict, generate a model + code to run it.\",,,7.0,16,https://pypi.org/project/automl_gs,2019-04-05 06:47:54.000000,,38.0,38.0,,,,False,3,20.0,,,,,,,,,,,,,,,,,,,,,,,\n688,Xcessiv,reiinakano/xcessiv,xcessiv,,,hyperopt,,https://github.com/reiinakano/xcessiv,https://github.com/reiinakano/xcessiv,Apache-2.0,2017-03-07 18:18:25.000000,2018-06-06 22:23:37.000000,2017-08-21 00:51:15.000000,104.0,21.0,13.0,1257.0,316.0,2017-08-21 00:53:25.000000,0.5.1,34.0,\"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.\",2.0,1.0,6.0,16,https://pypi.org/project/xcessiv,2017-08-21 00:49:41.000000,1.0,74.0,74.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n689,Lambda Networks,lucidrains/lambda-networks,lambda-networks,,,pytorch-utils,['pytorch'],https://github.com/lucidrains/lambda-networks,https://github.com/lucidrains/lambda-networks,MIT,2020-10-08 19:01:15.000000,2020-11-18 19:54:34.000000,2020-11-18 19:54:30.000000,127.0,8.0,15.0,1233.0,,2020-11-18 08:18:54.000000,0.4.0,11.0,\"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.\",,,3.0,16,https://pypi.org/project/lambda-networks,2020-10-20 21:49:22.000000,,537.0,537.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n690,Botflow,kkyon/botflow,botflow,,,data-pipelines,,https://github.com/kkyon/botflow,https://github.com/kkyon/botflow,BSD-3-Clause,2018-08-20 03:13:31.000000,2020-12-31 09:03:22.000000,2019-05-23 14:40:50.000000,98.0,2.0,2.0,1151.0,192.0,,,5.0,\"Python Fast Dataflow programming framework for Data pipeline work( Web Crawler,Machine Learning,Quantitative..\",1.0,1.0,11.0,16,https://pypi.org/project/botflow,2018-09-14 14:38:32.000000,,39.0,39.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n691,AdvBox,advboxes/AdvBox,advbox,,,adversarial,,https://github.com/advboxes/AdvBox,https://github.com/advboxes/AdvBox,Apache-2.0,2018-08-08 08:55:41.000000,2020-11-13 17:59:22.000000,2020-08-26 22:59:41.000000,217.0,6.0,26.0,1016.0,374.0,2018-12-05 02:48:50.000000,0.4.1,2.0,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,,,19.0,16,https://pypi.org/project/advbox,2018-12-05 02:48:50.000000,,20.0,20.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n692,sklearn-porter,nok/sklearn-porter,sklearn-porter,,,model-serialisation,['sklearn'],https://github.com/nok/sklearn-porter,https://github.com/nok/sklearn-porter,MIT,2016-06-22 22:21:34.000000,2020-10-19 07:28:00.000000,2019-12-18 13:31:50.000000,122.0,39.0,29.0,942.0,699.0,2019-12-18 13:39:19.000000,0.7.4,20.0,\"Transpile trained scikit-learn estimators to C, Java, JavaScript and others.\",1.0,,11.0,16,https://pypi.org/project/sklearn-porter,2019-12-18 13:39:19.000000,1.0,498.0,498.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n693,lazydata,rstojnic/lazydata,lazydata,,,db-clients,,https://github.com/rstojnic/lazydata,https://github.com/rstojnic/lazydata,Apache-2.0,2018-08-21 12:44:27.000000,2019-02-13 18:15:09.000000,2018-10-12 11:40:26.000000,24.0,7.0,6.0,624.0,216.0,2018-09-18 21:24:41.000000,1.0.19,19.0,Lazydata: Scalable data dependencies for Python projects.,8.0,8.0,6.0,16,https://pypi.org/project/lazydata,2018-09-18 21:25:30.000000,,49.0,49.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n694,cuGraph,rapidsai/cugraph,cugraph,,,gpu-utilities,,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000000,2020-12-30 17:54:06.000000,2020-12-17 22:52:29.000000,129.0,92.0,445.0,602.0,,2020-12-10 21:54:44.000000,0.17.0,4.0,cuGraph - RAPIDS Graph Analytics Library.,,,52.0,16,https://pypi.org/project/cugraph,2019-04-04 15:31:02.000000,,46.0,46.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n695,SpeedTorch,Santosh-Gupta/SpeedTorch,SpeedTorch,,,gpu-utilities,['pytorch'],https://github.com/Santosh-Gupta/SpeedTorch,https://github.com/Santosh-Gupta/SpeedTorch,MIT,2019-09-07 18:57:52.000000,2020-02-21 23:13:29.000000,2020-02-21 23:13:28.000000,36.0,3.0,2.0,591.0,170.0,2020-01-06 05:27:17.000000,0.1.6,14.0,Library for faster pinned CPU - GPU transfer in Pytorch.,5.0,3.0,3.0,16,https://pypi.org/project/SpeedTorch,2020-01-06 05:27:17.000000,2.0,125.0,125.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n696,XAI,EthicalML/xai,xai,,,interpretability,,https://github.com/EthicalML/xai,https://github.com/EthicalML/xai,MIT,2019-01-11 20:00:09.000000,2019-10-05 10:34:58.000000,2019-10-05 10:34:50.000000,79.0,4.0,2.0,548.0,83.0,2019-01-13 21:24:01.000000,0.0.4,4.0,XAI - An eXplainability toolbox for machine learning.,15.0,9.0,2.0,16,https://pypi.org/project/xai,2019-01-13 21:24:01.000000,6.0,153.0,153.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n697,AlphaPy,ScottfreeLLC/AlphaPy,alphapy,,,hyperopt,,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32.000000,2020-09-06 12:58:26.000000,2020-09-06 12:58:25.000000,111.0,10.0,29.0,536.0,407.0,2020-08-29 18:48:20.000000,2.5.0,24.0,\"Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost.\",2.0,2.0,3.0,16,https://pypi.org/project/alphapy,2020-08-25 23:33:42.000000,,92.0,92.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n698,RLax,deepmind/rlax,rlax,,,reinforcement-learning,['jax'],https://github.com/deepmind/rlax,https://github.com/deepmind/rlax,Apache-2.0,2020-02-18 07:14:59.000000,2020-12-04 16:29:56.000000,2020-12-04 16:29:20.000000,37.0,3.0,3.0,521.0,100.0,2020-02-19 23:01:30.000000,0.1.0,3.0,A library of reinforcement learning building blocks in JAX.,9.0,9.0,10.0,16,https://pypi.org/project/rlax,2020-02-19 23:01:30.000000,,132.0,132.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n699,FlashTorch,MisaOgura/flashtorch,flashtorch,,,interpretability,['pytorch'],https://github.com/MisaOgura/flashtorch,https://github.com/MisaOgura/flashtorch,MIT,2019-03-22 13:00:57.000000,2020-12-14 23:09:26.000000,2020-05-29 14:37:29.000000,66.0,6.0,21.0,520.0,126.0,2020-05-29 14:39:38.000000,0.1.3,12.0,Visualization toolkit for neural networks in PyTorch! Demo --.,6.0,6.0,2.0,16,https://pypi.org/project/flashtorch,2020-05-29 14:38:32.000000,,185.0,185.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n700,Auto Tune Models,HDI-Project/ATM,atm,,,hyperopt,,https://github.com/HDI-Project/ATM,https://github.com/HDI-Project/ATM,MIT,2016-10-14 18:03:00.000000,2020-02-21 17:44:07.000000,2020-02-21 17:40:58.000000,122.0,17.0,71.0,501.0,775.0,2019-07-30 09:28:26.000000,0.2.2,13.0,\"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).\",6.0,6.0,16.0,16,https://pypi.org/project/atm,2019-06-24 13:31:28.000000,,81.0,81.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n701,DiCE,interpretml/DiCE,dice-ml,,,interpretability,\"['tensorflow', 'pytorch']\",https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000000,2020-12-15 13:12:57.000000,2020-12-15 13:12:50.000000,63.0,12.0,18.0,414.0,288.0,2020-09-22 06:31:10.000000,0.4,2.0,Generate Diverse Counterfactual Explanations for any machine learning model.,,,8.0,16,https://pypi.org/project/dice-ml,2020-09-22 06:57:33.000000,,141.0,141.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n702,lightly,lightly-ai/lightly,lightly,,,image,['pytorch'],https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000000,2020-12-30 12:47:41.000000,2020-12-30 12:47:40.000000,18.0,14.0,18.0,381.0,251.0,2020-12-17 17:29:23.000000,1.0.7,10.0,A python library for self-supervised learning.,,,4.0,16,https://pypi.org/project/lightly,2020-12-17 17:31:29.000000,,307.0,307.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n703,OpenRec,ylongqi/openrec,openrec,,,recommender-systems,,https://github.com/ylongqi/openrec,https://github.com/ylongqi/openrec,Apache-2.0,2017-11-29 16:04:40.000000,2020-11-13 17:47:17.000000,2020-02-19 07:57:17.000000,79.0,4.0,12.0,349.0,213.0,2018-11-13 17:55:55.000000,0.2.5,11.0,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms.,2.0,1.0,10.0,16,https://pypi.org/project/openrec,2019-09-11 20:21:21.000000,1.0,53.0,53.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n704,pdvega,altair-viz/pdvega,pdvega,,,data-viz,,https://github.com/altair-viz/pdvega,https://github.com/altair-viz/pdvega,MIT,2018-01-11 21:30:27.000000,2019-03-29 16:09:14.000000,2019-03-29 16:09:13.000000,28.0,16.0,10.0,339.0,177.0,,,1.0,Interactive plotting for Pandas using Vega-Lite.,48.0,46.0,9.0,16,https://pypi.org/project/pdvega,2018-02-01 04:56:43.000000,2.0,119.0,119.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n705,Pywick,achaiah/pywick,pywick,,,pytorch-utils,['pytorch'],https://github.com/achaiah/pywick,https://github.com/achaiah/pywick,MIT,2019-03-25 15:42:47.000000,2020-11-17 16:44:11.000000,2020-09-24 19:20:06.000000,35.0,2.0,9.0,310.0,109.0,2020-01-20 22:14:21.000000,0.5.6,6.0,High-level batteries-included neural network training library for Pytorch.,2.0,2.0,4.0,16,https://pypi.org/project/pywick,2020-01-20 22:14:21.000000,,246.0,246.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n706,VizSeq,facebookresearch/vizseq,vizseq,,,nlp,,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38.000000,2020-12-13 18:55:58.000000,2020-12-13 18:55:54.000000,39.0,7.0,8.0,298.0,43.0,2020-08-07 01:13:52.000000,0.1.15,16.0,\"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).\",1.0,1.0,3.0,16,https://pypi.org/project/vizseq,2020-08-07 01:13:52.000000,,92.0,92.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n707,LOFO,aerdem4/lofo-importance,lofo-importance,,,interpretability,,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46.000000,2020-07-02 11:49:54.000000,2020-07-02 11:49:52.000000,40.0,1.0,10.0,287.0,24.0,2020-07-02 11:44:57.000000,0.2.6,9.0,Leave One Feature Out Importance.,3.0,3.0,3.0,16,https://pypi.org/project/lofo-importance,2020-07-02 11:44:57.000000,,195.0,195.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n708,Headliner,as-ideas/headliner,headliner,,,nlp,,https://github.com/as-ideas/headliner,https://github.com/as-ideas/headliner,MIT,2019-09-30 11:33:28.000000,2020-02-14 09:07:46.000000,2020-02-14 09:03:27.000000,37.0,1.0,13.0,218.0,276.0,2020-01-24 09:06:29.000000,1.0.2,30.0,Easy training and deployment of seq2seq models.,4.0,3.0,2.0,16,https://pypi.org/project/headliner,2020-01-24 09:06:29.000000,1.0,261.0,261.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n709,Transistor,bomquote/transistor,transistor,,,web-scraping,,https://github.com/bomquote/transistor,https://github.com/bomquote/transistor,MIT,2018-11-12 15:25:51.000000,2020-12-12 22:37:59.000000,2020-08-16 21:52:05.000000,17.0,60.0,3.0,205.0,198.0,2020-08-03 20:20:32.000000,0.2.4,7.0,\"Transistor, a Python web scraping framework for intelligent use cases.\",,,3.0,16,https://pypi.org/project/transistor,2020-08-03 20:12:39.000000,,104.0,106.0,,,,True,3,52.0,,,,,,,,,,,,,,,,,,,,,,,\n710,Muda,bmcfee/muda,muda,,,audio,,https://github.com/bmcfee/muda,https://github.com/bmcfee/muda,ISC,2014-11-07 21:21:22.000000,2020-09-01 19:21:10.000000,2020-07-20 20:00:17.000000,30.0,5.0,44.0,172.0,291.0,2019-11-15 15:46:21.000000,0.4.1,11.0,A library for augmenting annotated audio data.,8.0,7.0,6.0,16,https://pypi.org/project/muda,2019-11-15 15:46:21.000000,1.0,89.0,89.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n711,elegy,poets-ai/elegy,elegy,,,ml-frameworks,\"['tensorflow', 'jax']\",https://github.com/poets-ai/elegy,https://github.com/poets-ai/elegy,Apache-2.0,2020-06-30 14:00:37.000000,2020-12-27 09:21:41.000000,2020-12-25 14:22:01.000000,10.0,15.0,34.0,141.0,252.0,2020-12-17 15:44:27.000000,0.3.0,15.0,Elegy is a Neural Networks framework based on Jax and inspired by Keras.,,,11.0,16,https://pypi.org/project/elegy,2020-12-17 15:41:58.000000,,266.0,266.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n712,Larq Compute Engine,larq/compute-engine,larq-compute-engine,,,model-serialisation,,https://github.com/larq/compute-engine,https://github.com/larq/compute-engine,Apache-2.0,2019-08-29 15:02:43.000000,2020-12-30 11:36:34.000000,2020-12-30 11:36:32.000000,18.0,21.0,87.0,119.0,439.0,2020-09-21 13:31:57.000000,0.4.3,11.0,Highly optimized inference engine for Binarized Neural Networks.,1.0,1.0,13.0,16,https://pypi.org/project/larq-compute-engine,2020-09-21 17:41:53.000000,,489.0,500.0,,,,False,3,124.0,,,,,,,,,,,,,,,,,,,,,,,\n713,dabl,amueller/dabl,dabl,,,others,['sklearn'],https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49.000000,2020-12-30 01:54:24.000000,2020-07-08 16:14:41.000000,7.0,1.0,,61.0,252.0,2020-02-04 18:25:16.000000,0.1.9,10.0,Data Analysis Baseline Library.,,,18.0,16,https://pypi.org/project/dabl,2020-09-25 18:14:54.000000,,1903.0,1903.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n714,tinygrad,geohot/tinygrad,,,,pytorch-utils,['pytorch'],https://github.com/geohot/tinygrad,https://github.com/geohot/tinygrad,MIT,2020-10-18 16:23:12.000000,2021-01-01 10:01:44.000000,2020-12-31 14:58:02.000000,418.0,9.0,56.0,3823.0,491.0,,,,You like pytorch? You like micrograd? You love tinygrad!.,,,41.0,15,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n715,MedicalTorch,perone/medicaltorch,medicaltorch,,,medical-data,['pytorch'],https://github.com/perone/medicaltorch,https://github.com/perone/medicaltorch,Apache-2.0,2018-02-27 02:50:07.000000,2020-09-30 13:21:57.000000,2019-08-15 10:03:51.000000,106.0,14.0,9.0,700.0,55.0,2018-11-24 00:33:11.000000,0.2,2.0,A medical imaging framework for Pytorch.,9.0,9.0,7.0,15,https://pypi.org/project/medicaltorch,2018-11-24 00:29:36.000000,,164.0,164.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n716,Translate,pytorch/translate,pytorch-translate,,,nlp,['pytorch'],https://github.com/pytorch/translate,https://github.com/pytorch/translate,BSD-3-Clause,2018-04-24 16:44:04.000000,2020-12-29 05:05:10.000000,2020-12-29 05:05:03.000000,158.0,66.0,27.0,674.0,803.0,,,1.0,Translate - a PyTorch Language Library.,,,84.0,15,https://pypi.org/project/pytorch-translate,2018-05-01 19:59:40.000000,,12.0,12.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n717,SuperSQLite,plasticityai/supersqlite,supersqlite,,,db-clients,,https://github.com/plasticityai/supersqlite,https://github.com/plasticityai/supersqlite,MIT,2018-11-09 08:20:26.000000,2020-05-09 09:06:06.000000,2019-08-27 13:16:09.000000,18.0,3.0,1.0,655.0,221.0,2018-11-22 02:36:13.000000,0.0.78,56.0,A supercharged SQLite library for Python.,3.0,3.0,2.0,15,https://pypi.org/project/supersqlite,2018-11-19 04:01:04.000000,,237.0,237.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n718,HyperparameterHunter,HunterMcGushion/hyperparameter_hunter,hyperparameter-hunter,,,hyperopt,,https://github.com/HunterMcGushion/hyperparameter_hunter,https://github.com/HunterMcGushion/hyperparameter_hunter,MIT,2018-06-01 23:17:00.000000,2020-10-21 17:39:45.000000,2020-10-21 17:39:43.000000,77.0,36.0,84.0,631.0,1095.0,2019-08-06 09:09:45.000000,3.0.0,16.0,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries.,1.0,,3.0,15,https://pypi.org/project/hyperparameter-hunter,2019-08-06 06:01:58.000000,1.0,88.0,96.0,,,,True,3,235.0,,,,,,,,,,,,,,,,,,,,,,,\n719,torchsde,google-research/torchsde,,,,pytorch-utils,['pytorch'],https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11.000000,2020-12-24 22:32:29.000000,2020-10-30 16:15:49.000000,53.0,5.0,26.0,628.0,137.0,2020-10-22 16:12:07.000000,0.2.1,3.0,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,,,4.0,15,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n720,PandaPy,firmai/pandapy,pandapy,,,data-containers,['pandas'],https://github.com/firmai/pandapy,https://github.com/firmai/pandapy,MIT,2020-01-15 18:21:23.000000,2020-11-12 16:18:45.000000,2020-11-12 16:18:44.000000,44.0,2.0,1.0,464.0,83.0,2020-11-12 16:12:54.000000,zen,22.0,PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai).,1.0,1.0,3.0,15,https://pypi.org/project/pandapy,2020-01-25 23:10:32.000000,,89.0,89.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n721,Tensor Sensor,parrt/tensor-sensor,tensor-sensor,,,pytorch-utils,['pytorch'],https://github.com/parrt/tensor-sensor,https://github.com/parrt/tensor-sensor,MIT,2020-08-28 22:54:04.000000,2020-12-03 20:46:15.000000,2020-12-03 20:45:45.000000,23.0,4.0,12.0,462.0,148.0,2020-12-03 20:46:15.000000,0.1.1,33.0,The goal of this library is to generate more helpful exception messages for numpy/pytorch matrix algebra expressions.,1.0,1.0,2.0,15,https://pypi.org/project/tensor-sensor,2020-12-03 20:40:56.000000,,369.0,369.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n722,cuSignal,rapidsai/cusignal,,,,gpu-utilities,,https://github.com/rapidsai/cusignal,https://github.com/rapidsai/cusignal,Apache-2.0,2019-08-22 14:27:27.000000,2020-12-30 17:53:24.000000,2020-12-15 18:46:03.000000,56.0,17.0,80.0,429.0,,2020-12-10 21:29:50.000000,0.17.0,3.0,GPU accelerated signal processing.,,,27.0,15,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n723,TF Compression,tensorflow/compression,tensorflow-compression,,,tensorflow-utils,['tensorflow'],https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19.000000,2020-12-28 18:46:42.000000,2020-12-28 06:53:29.000000,143.0,3.0,51.0,406.0,134.0,2019-11-20 01:04:19.000000,1.3,7.0,Data compression in TensorFlow.,1.0,,9.0,15,https://pypi.org/project/tensorflow-compression,2020-12-04 19:23:50.000000,1.0,536.0,536.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n724,Parfit,jmcarpenter2/parfit,parfit,,,hyperopt,['sklearn'],https://github.com/jmcarpenter2/parfit,https://github.com/jmcarpenter2/parfit,MIT,2017-11-22 20:17:51.000000,2020-04-04 19:26:44.000000,2020-04-04 19:26:37.000000,25.0,5.0,5.0,199.0,127.0,,,23.0,\"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..\",6.0,6.0,2.0,15,https://pypi.org/project/parfit,2018-10-11 22:03:16.000000,,3837.0,3837.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n725,NeuralQA,victordibia/neuralqa,neuralqa,,,nlp,,https://github.com/victordibia/neuralqa,https://github.com/victordibia/neuralqa,MIT,2020-05-19 03:55:56.000000,2020-12-16 17:42:12.000000,2020-12-16 17:41:37.000000,23.0,18.0,8.0,180.0,312.0,,,26.0,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,1.0,1.0,3.0,15,https://pypi.org/project/neuralqa,2020-07-29 16:39:37.000000,,91.0,91.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n726,steppy,minerva-ml/steppy,steppy,,,ml-experiments,,https://github.com/minerva-ml/steppy,https://github.com/minerva-ml/steppy,MIT,2018-01-15 09:40:49.000000,2018-11-23 09:49:59.000000,2018-11-23 09:47:34.000000,31.0,16.0,50.0,125.0,69.0,2018-11-23 09:49:59.000000,0.1.16,16.0,\"Lightweight, Python library for fast and reproducible experimentation.\",41.0,36.0,5.0,15,https://pypi.org/project/steppy,2018-11-23 09:49:59.000000,5.0,81.0,81.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n727,DE⫶TR,facebookresearch/detr,,,,image,['pytorch'],https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52.000000,2020-12-04 20:03:39.000000,2020-11-15 16:03:45.000000,806.0,57.0,196.0,5749.0,41.0,2020-06-29 16:41:01.000000,0.2,1.0,End-to-End Object Detection with Transformers.,,,19.0,14,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n728,PySlowFast,facebookresearch/SlowFast,,,,image,['pytorch'],https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26.000000,2020-12-29 22:49:34.000000,2020-12-29 22:49:25.000000,588.0,151.0,182.0,3219.0,94.0,,,,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,2.0,2.0,19.0,14,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n729,OpenNRE,thunlp/OpenNRE,,,,nlp,,https://github.com/thunlp/OpenNRE,https://github.com/thunlp/OpenNRE,MIT,2017-02-26 07:37:12.000000,2020-12-29 06:01:15.000000,2020-11-24 06:37:04.000000,830.0,13.0,284.0,2917.0,135.0,,,,An Open-Source Package for Neural Relation Extraction (NRE).,,,9.0,14,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n730,Euler,alibaba/euler,euler-gl,,,graph,['tensorflow'],https://github.com/alibaba/euler,https://github.com/alibaba/euler,Apache-2.0,2019-01-10 06:32:32.000000,2020-07-29 05:53:02.000000,2020-07-29 05:53:01.000000,501.0,200.0,97.0,2430.0,8.0,2020-07-07 02:24:18.000000,2.0.0,2.0,A distributed graph deep learning framework.,,,5.0,14,https://pypi.org/project/euler-gl,2019-04-10 01:53:45.000000,,11.0,11.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n731,ENAS,carpedm20/ENAS-pytorch,,,,hyperopt,,https://github.com/carpedm20/ENAS-pytorch,https://github.com/carpedm20/ENAS-pytorch,Apache-2.0,2018-02-15 04:54:37.000000,2020-12-09 18:13:03.000000,2020-06-16 07:23:32.000000,438.0,37.0,7.0,2358.0,53.0,,,,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,,,6.0,14,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n732,GraphSAGE,williamleif/GraphSAGE,,,,graph,['tensorflow'],https://github.com/williamleif/GraphSAGE,https://github.com/williamleif/GraphSAGE,MIT,2017-05-29 15:36:22.000000,2020-11-13 17:49:54.000000,2018-09-19 19:27:00.000000,596.0,77.0,58.0,2062.0,59.0,,,,Representation learning on large graphs using stochastic graph convolutions.,,,9.0,14,,,,,,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n733,ZhuSuan,thu-ml/zhusuan,,,,probabilistics,['tensorflow'],https://github.com/thu-ml/zhusuan,https://github.com/thu-ml/zhusuan,MIT,2016-07-18 13:31:38.000000,2020-01-09 14:51:27.000000,2019-08-05 10:00:04.000000,376.0,8.0,53.0,1998.0,439.0,,,,\"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.\",,,20.0,14,,,,,,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n734,lazynlp,chiphuyen/lazynlp,,,,web-scraping,,https://github.com/chiphuyen/lazynlp,https://github.com/chiphuyen/lazynlp,MIT,2019-02-27 23:23:19.000000,2020-11-11 12:16:30.000000,2019-10-07 16:52:30.000000,281.0,5.0,3.0,1888.0,14.0,2019-03-02 17:38:27.000000,1.0.0,1.0,Library to scrape and clean web pages to create massive datasets.,,,7.0,14,,,,,,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n735,GraphEmbedding,shenweichen/GraphEmbedding,,,,graph,['sklearn'],https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20.000000,2020-10-18 09:32:47.000000,2020-10-18 09:32:47.000000,534.0,26.0,13.0,1697.0,28.0,,,,Implementation and experiments of graph embedding algorithms.,7.0,7.0,6.0,14,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n736,micrograd,karpathy/micrograd,micrograd,,,pytorch-utils,['pytorch'],https://github.com/karpathy/micrograd,https://github.com/karpathy/micrograd,MIT,2020-04-13 04:31:18.000000,2020-12-18 12:55:50.000000,2020-04-18 19:15:25.000000,106.0,2.0,3.0,1510.0,24.0,2020-04-18 19:06:59.000000,0.1.0,1.0,A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.,,,2.0,14,https://pypi.org/project/micrograd,2020-04-18 19:06:59.000000,,36.0,36.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n737,OpenNE,thunlp/OpenNE,,,,graph,['tensorflow'],https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20.000000,2020-11-30 14:02:23.000000,2019-08-12 10:56:27.000000,439.0,50.0,81.0,1386.0,98.0,,,,An Open-Source Package for Network Embedding (NE).,,,10.0,14,,,,,,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n738,Anchor,marcotcr/anchor,anchor_exp,,,interpretability,,https://github.com/marcotcr/anchor,https://github.com/marcotcr/anchor,BSD-2-Clause,2018-02-02 23:38:50.000000,2020-09-10 17:49:26.000000,2020-09-10 17:48:28.000000,87.0,8.0,44.0,610.0,39.0,,,8.0,Code for High-Precision Model-Agnostic Explanations paper.,,,8.0,14,https://pypi.org/project/anchor_exp,2020-06-26 20:56:50.000000,,573.0,573.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n739,Tez,abhishekkrthakur/tez,tez,,,pytorch-utils,['pytorch'],https://github.com/abhishekkrthakur/tez,https://github.com/abhishekkrthakur/tez,Apache-2.0,2020-11-13 10:19:22.000000,2020-12-31 17:30:49.000000,2020-12-31 17:30:41.000000,43.0,4.0,5.0,370.0,,2020-12-26 12:37:23.000000,0.0.8,7.0,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,,,1.0,14,https://pypi.org/project/tez,2020-12-26 12:37:23.000000,,855.0,855.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n740,TransferNLP,feedly/transfer-nlp,transfer-nlp,,,nlp,['pytorch'],https://github.com/feedly/transfer-nlp,https://github.com/feedly/transfer-nlp,MIT,2019-03-12 20:00:31.000000,2020-05-28 19:00:02.000000,2020-05-28 17:31:53.000000,18.0,4.0,19.0,285.0,465.0,2020-05-28 19:00:02.000000,0.1.6,8.0,NLP library designed for reproducible experimentation management.,,,7.0,14,https://pypi.org/project/transfer-nlp,2020-05-28 19:00:02.000000,,93.0,93.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n741,nx-altair,Zsailer/nx_altair,nx-altair,,,data-viz,['jupyter'],https://github.com/Zsailer/nx_altair,https://github.com/Zsailer/nx_altair,MIT,2018-05-13 00:10:12.000000,2020-09-30 12:01:08.000000,2020-06-02 21:10:26.000000,19.0,4.0,4.0,153.0,51.0,2020-06-02 21:11:12.000000,0.1.6,8.0,Draw interactive NetworkX graphs with Altair.,2.0,,3.0,14,https://pypi.org/project/nx-altair,2020-06-02 21:11:12.000000,2.0,155.0,155.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n742,DeepNeuro,QTIM-Lab/DeepNeuro,deepneuro,,,medical-data,,https://github.com/QTIM-Lab/DeepNeuro,https://github.com/QTIM-Lab/DeepNeuro,MIT,2017-06-01 19:36:34.000000,2020-06-24 13:00:15.000000,2020-06-24 13:00:14.000000,29.0,25.0,16.0,96.0,285.0,2019-04-11 16:57:02.000000,0.2.2,5.0,A deep learning python package for neuroimaging data. Made by:.,1.0,1.0,6.0,14,https://pypi.org/project/deepneuro,2019-04-11 16:57:02.000000,,59.0,59.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n743,Hypermax,electricbrainio/hypermax,hypermax,,,hyperopt,,https://github.com/electricbrainio/hypermax,https://github.com/electricbrainio/hypermax,BSD-3-Clause,2018-07-27 18:43:01.000000,2020-08-02 18:08:50.000000,2020-08-02 18:08:46.000000,14.0,3.0,1.0,95.0,207.0,2019-10-23 15:40:12.000000,0.5.1,11.0,\"Better, faster hyper-parameter optimization.\",4.0,4.0,9.0,14,https://pypi.org/project/hypermax,2019-10-23 15:40:12.000000,,38.0,38.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n744,nptsne,biovault/nptsne,nptsne,,,data-viz,,https://github.com/biovault/nptsne,https://github.com/biovault/nptsne,Apache-2.0,2019-06-28 08:40:25.000000,2020-11-16 13:56:05.000000,2020-11-13 16:38:47.000000,2.0,7.0,2.0,24.0,834.0,2020-09-10 23:54:14.000000,1.1.0,2.0,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,2.0,2.0,3.0,14,https://pypi.org/project/nptsne,2020-09-10 23:54:14.000000,,141.0,141.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n745,StarSpace,facebookresearch/StarSpace,,,,ml-frameworks,,https://github.com/facebookresearch/StarSpace,https://github.com/facebookresearch/StarSpace,MIT,2017-06-28 17:50:18.000000,2020-05-18 03:40:57.000000,2019-12-13 19:03:25.000000,475.0,46.0,146.0,3518.0,138.0,,,,\"Learning embeddings for classification, retrieval and ranking.\",,,17.0,13,,,,,,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n746,OpenKE,thunlp/OpenKE,,,,graph,,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,MIT,2017-10-08 11:20:23.000000,2020-04-08 11:00:38.000000,2020-04-08 11:00:32.000000,716.0,46.0,222.0,2301.0,97.0,,,,An Open-Source Package for Knowledge Embedding (KE).,,,10.0,13,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n747,pycls,facebookresearch/pycls,,,,image,['pytorch'],https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17.000000,2020-11-29 17:48:12.000000,2020-11-20 22:19:36.000000,146.0,10.0,44.0,1400.0,66.0,2020-04-15 19:33:22.000000,0.1,1.0,\"Codebase for Image Classification Research, written in PyTorch.\",1.0,1.0,7.0,13,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n748,Torch-Struct,harvardnlp/pytorch-struct,,,,pytorch-utils,['pytorch'],https://github.com/harvardnlp/pytorch-struct,https://github.com/harvardnlp/pytorch-struct,MIT,2019-08-26 19:34:30.000000,2020-12-05 20:47:02.000000,2020-07-30 15:58:25.000000,67.0,13.0,21.0,868.0,244.0,2019-11-25 04:08:05.000000,0.4,1.0,\"Fast, general, and tested differentiable structured prediction in PyTorch.\",,,10.0,13,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n749,NeoML,neoml-lib/neoml,,,,ml-frameworks,,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000000,2020-12-31 12:35:58.000000,2020-12-31 12:35:44.000000,78.0,16.0,13.0,551.0,165.0,2020-06-14 17:44:03.000000,NeoML-master_1.0.1.0,1.0,Machine learning framework for both deep learning and traditional algorithms.,,,16.0,13,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n750,Adversary,airbnb/artificial-adversary,Adversary,,,adversarial,,https://github.com/airbnb/artificial-adversary,https://github.com/airbnb/artificial-adversary,MIT,2018-08-08 04:42:11.000000,2018-10-14 05:34:44.000000,2018-08-29 15:31:30.000000,47.0,7.0,,339.0,15.0,2018-08-29 15:14:41.000000,1.1.1,3.0,Tool to generate adversarial text examples and test machine learning models against them.,6.0,6.0,5.0,13,https://pypi.org/project/Adversary,2018-08-29 15:14:41.000000,,15.0,15.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n751,Julius,adefossez/julius,julius,,,audio,['pytorch'],https://github.com/adefossez/julius,https://github.com/adefossez/julius,MIT,2020-10-26 10:54:21.000000,2020-12-10 12:50:51.000000,2020-12-10 12:50:47.000000,6.0,,3.0,162.0,,2020-11-25 18:04:38.000000,0.2.0,4.0,Fast PyTorch based DSP for audio and 1D signals.,1.0,1.0,2.0,13,https://pypi.org/project/julius,2020-11-25 18:04:38.000000,,153.0,153.0,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n752,Auptimizer,LGE-ARC-AdvancedAI/auptimizer,auptimizer,,,hyperopt,,https://github.com/LGE-ARC-AdvancedAI/auptimizer,https://github.com/LGE-ARC-AdvancedAI/auptimizer,GPL-3.0,2019-09-12 01:08:37.000000,2020-12-04 01:00:53.000000,2020-12-04 00:51:11.000000,20.0,,3.0,153.0,68.0,2020-11-19 05:14:22.000000,1.4,6.0,An automatic ML model optimization tool.,,,11.0,13,https://pypi.org/project/auptimizer,2020-11-19 00:23:49.000000,,80.0,80.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n753,ModelChimp,ModelChimp/modelchimp,modelchimp,,,ml-experiments,,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03.000000,2020-12-31 23:14:07.000000,2019-12-06 08:58:55.000000,11.0,4.0,10.0,118.0,357.0,2019-04-09 10:43:15.000000,0.4.0,37.0,Experiment tracking for machine and deep learning projects.,,,2.0,13,https://pypi.org/project/modelchimp,2019-04-09 10:41:20.000000,,82.0,106.0,,,,False,3,,,,modelchimp/modelchimp-server,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,634.0,,,,,,,,,,,,,,,,\n754,Medical Detection Toolkit,MIC-DKFZ/medicaldetectiontoolkit,,,,medical-data,['pytorch'],https://github.com/MIC-DKFZ/medicaldetectiontoolkit,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,Apache-2.0,2018-10-12 12:34:57.000000,2020-10-14 11:17:37.000000,2020-04-18 12:52:08.000000,227.0,27.0,85.0,884.0,36.0,,,,\"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..\",,,3.0,12,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n755,GraphVite,DeepGraphLearning/graphvite,,milagraph/graphvite,,graph,,https://github.com/DeepGraphLearning/graphvite,https://github.com/DeepGraphLearning/graphvite,Apache-2.0,2019-07-16 15:48:20.000000,2020-03-19 18:21:30.972000,2020-03-18 23:16:04.000000,113.0,23.0,51.0,824.0,14.0,,,4.0,GraphVite: A General and High-performance Graph Embedding System.,,,1.0,12,,,,,194.0,https://anaconda.org/milagraph/graphvite,2020-03-19 18:21:30.972000,3304.0,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n756,Attribution Priors,suinleelab/attributionpriors,attributionpriors,,,interpretability,\"['tensorflow', 'pytorch']\",https://github.com/suinleelab/attributionpriors,https://github.com/suinleelab/attributionpriors,MIT,2019-06-24 23:54:24.000000,2020-09-12 05:57:02.000000,2020-09-12 05:56:51.000000,3.0,1.0,3.0,72.0,64.0,2019-07-18 21:13:37.000000,0.1.3,4.0,Tools for training explainable models using attribution priors.,,,6.0,12,https://pypi.org/project/attributionpriors,2019-10-31 18:03:05.000000,,23.0,23.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n757,LazyCluster,ml-tooling/lazycluster,lazycluster,,,distributed-ml,,https://github.com/ml-tooling/lazycluster,https://github.com/ml-tooling/lazycluster,Apache-2.0,2019-08-07 08:05:13.000000,2020-12-14 15:24:54.000000,2020-12-14 15:24:53.000000,4.0,,,31.0,,2020-12-14 15:25:59.000000,0.2.4,5.0,Distributed machine learning made simple.,2.0,2.0,2.0,12,https://pypi.org/project/lazycluster,2020-12-14 14:49:33.000000,,148.0,148.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n758,MedicalNet,Tencent/MedicalNet,,,,medical-data,,https://github.com/Tencent/MedicalNet,https://github.com/Tencent/MedicalNet,MIT,2019-07-17 09:53:10.000000,2020-08-27 13:37:27.000000,2020-08-27 13:37:26.000000,273.0,40.0,14.0,1031.0,26.0,,,,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,,,1.0,11,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n759,Devol,joeddav/devol,,,,hyperopt,,https://github.com/joeddav/devol,https://github.com/joeddav/devol,MIT,2017-02-10 03:07:54.000000,2020-07-05 21:56:59.000000,2020-07-05 21:56:58.000000,109.0,7.0,20.0,925.0,116.0,,,,Genetic neural architecture search with Keras.,,,18.0,11,,,,,,,,,True,3,,,,,,,,,,,,,,,,,,,,,,,,\n760,PySparNN,facebookresearch/pysparnn,,,,nn-search,,https://github.com/facebookresearch/pysparnn,https://github.com/facebookresearch/pysparnn,BSD-3-Clause,2016-03-28 20:43:42.000000,2020-10-02 06:01:01.000000,2018-01-31 16:50:23.000000,142.0,11.0,13.0,842.0,147.0,,,,Approximate Nearest Neighbor Search for Sparse Data in Python!.,,,5.0,11,,,,,,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n761,ONNX-T5,abelriboulot/onnxt5,onnxt5,,,nlp,,https://github.com/abelriboulot/onnxt5,https://github.com/abelriboulot/onnxt5,Apache-2.0,2020-08-01 09:38:35.000000,2020-09-02 11:27:43.000000,2020-09-02 11:27:37.000000,16.0,3.0,5.0,132.0,68.0,2020-08-15 15:25:00.000000,0.1.6,10.0,\"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..\",,,2.0,11,https://pypi.org/project/onnxt5,2020-09-02 11:22:09.000000,,58.0,58.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n762,Hypertunity,gdikov/hypertunity,hypertunity,,,hyperopt,,https://github.com/gdikov/hypertunity,https://github.com/gdikov/hypertunity,Apache-2.0,2019-06-02 12:04:55.000000,2020-01-26 23:14:49.000000,2020-01-26 22:53:29.000000,9.0,,2.0,118.0,64.0,2020-01-26 23:08:16.000000,1.0.1,7.0,A toolset for black-box hyperparameter optimisation.,2.0,2.0,2.0,11,https://pypi.org/project/hypertunity,2020-01-26 23:08:16.000000,,24.0,24.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n763,traintool,jrieke/traintool,traintool,,,ml-experiments,\"['pytorch', 'tensorflow', 'sklearn']\",https://github.com/jrieke/traintool,https://github.com/jrieke/traintool,Apache-2.0,2020-09-30 22:23:05.000000,2020-11-18 02:51:43.000000,2020-11-18 02:50:52.000000,1.0,,,8.0,120.0,2020-11-02 02:25:32.000000,0.0.3,3.0,Train off-the-shelf machine learning models in one line of code.,,,1.0,10,https://pypi.org/project/traintool,2020-11-02 02:25:32.000000,,44.0,44.0,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n764,traingenerator,jrieke/traingenerator,,,,others,,https://github.com/jrieke/traingenerator,https://github.com/jrieke/traingenerator,MIT,2020-12-03 16:47:16.000000,2020-12-28 21:04:06.000000,2020-12-28 21:04:00.000000,85.0,3.0,,756.0,,,,,A web app to generate template code for machine learning.,,,1.0,9,,,,,,,,,False,3,,,,,,,,,,,,,,,,,,,,,,,,\n"
  },
  {
    "path": "history/2021-01-08_changes.md",
    "content": "## 📈 Trending Up\n\n_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._\n\n- <b><a href=\"https://github.com/mlflow/mlflow\">mlflow</a></b> (🥇34 ·  ⭐ 8.1K · 📈) - Open source platform for the machine learning lifecycle. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/python-visualization/folium\">folium</a></b> (🥇32 ·  ⭐ 5.1K · 📈) - Python Data. Leaflet.js Maps. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/altair-viz/altair\">Altair</a></b> (🥈31 ·  ⭐ 6.3K · 📈) - Declarative statistical visualization library for Python. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/madmaze/pytesseract\">Tesseract</a></b> (🥇30 ·  ⭐ 3.4K · 📈) - Python-tesseract is an optical character recognition (OCR).. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/EpistasisLab/tpot\">TPOT</a></b> (🥇29 ·  ⭐ 7.7K · 📈) - A Python Automated Machine Learning tool that optimizes.. <code><a href=\"http://bit.ly/37RvQcA\">❗️LGPL-3.0</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/pyproj4/pyproj\">pyproj</a></b> (🥈29 ·  ⭐ 560 · 📈) - Python interface to PROJ (cartographic projections and coordinate.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/dmlc/gluon-cv\">GluonCV</a></b> (🥈28 ·  ⭐ 4.4K · 📈) - Gluon CV Toolkit. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1X\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/quantumblacklabs/kedro\">Kedro</a></b> (🥈28 ·  ⭐ 3.3K · 📈) - A Python framework for creating reproducible, maintainable and.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/JaidedAI/EasyOCR\">EasyOCR</a></b> (🥈27 ·  ⭐ 9.8K · 📈) - Ready-to-use OCR with 80+ supported languages and all popular.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/rwightman/pytorch-image-models\">PyTorch Image Models</a></b> (🥈27 ·  ⭐ 6.4K · 📈) - PyTorch image models, scripts, pretrained weights --.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n\n## 📉 Trending Down\n\n_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._\n\n- <b><a href=\"https://github.com/hyperopt/hyperopt\">Hyperopt</a></b> (🥇30 ·  ⭐ 5.3K · 📉) - Distributed Asynchronous Hyperparameter Optimization in Python. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/aws/sagemaker-python-sdk\">SageMaker SDK</a></b> (🥇30 ·  ⭐ 1.3K · 📉) - A library for training and deploying machine learning.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1X\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/PaddlePaddle/Paddle\">PaddlePaddle</a></b> (🥉29 ·  ⭐ 14K · 📉) - PArallel Distributed Deep LEarning: Machine Learning.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1M\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/facebookresearch/faiss\">Faiss</a></b> (🥇28 ·  ⭐ 12K · 📉) - A library for efficient similarity search and clustering of dense vectors. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/keras-team/keras-tuner\">Keras Tuner</a></b> (🥇28 ·  ⭐ 2.2K · 📉) - Hyperparameter tuning for humans. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/PyTables/PyTables\">PyTables</a></b> (🥈28 ·  ⭐ 1K · 📉) - A Python package to manage extremely large amounts of data. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/pyro-ppl/pyro\">Pyro</a></b> (🥈27 ·  ⭐ 6.7K · 📉) - Deep universal probabilistic programming with Python and PyTorch. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/ibis-project/ibis\">Ibis</a></b> (🥉27 ·  ⭐ 1.5K · 📉) - A pandas-like deferred expression system, with first-class SQL.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/catalyst-team/catalyst\">Catalyst</a></b> (🥈26 ·  ⭐ 2.4K · 📉) - Accelerated deep learning R&D. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/Kozea/pygal\">pygal</a></b> (🥈26 ·  ⭐ 2.3K · 📉) - PYthon svg GrAph plotting Library. <code><a href=\"http://bit.ly/37RvQcA\">❗️LGPL-3.0</a></code>\n\n## ➕ Added Projects\n\n_Projects that were recently added to this best-of list._\n\n- <b><a href=\"https://github.com/scipy/scipy\">scipy</a></b> (🥇40 ·  ⭐ 7.8K · ➕) - Ecosystem of open-source software for mathematics, science, and.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/AutoViML/Auto_ViML\">Auto ViML</a></b> (🥉20 ·  ⭐ 190 · ➕) - Automatically Build Multiple ML Models with a Single Line of.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/AutoViML/Auto_TS\">Auto TS</a></b> (🥉17 ·  ⭐ 140 · ➕) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and ML Models.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/AutoViML/featurewiz\">featurewiz</a></b> (🥉12 ·  ⭐ 15 · 🐣) - Select the best features from your data set fast with a single.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n\n"
  },
  {
    "path": "history/2021-01-08_projects.csv",
    "content": ",name,github_id,resource,category,github_url,homepage,license,created_at,updated_at,last_commit_pushed_at,fork_count,open_issue_count,closed_issue_count,star_count,commit_count,description,contributor_count,projectrank,show,latest_stable_release_published_at,latest_stable_release_number,release_count,pypi_id,conda_id,dockerhub_id,docs_url,labels,dependent_project_count,github_dependent_project_count,pypi_url,pypi_latest_release_published_at,pypi_dependent_project_count,pypi_monthly_downloads,monthly_downloads,conda_url,conda_latest_release_published_at,conda_total_downloads,dockerhub_url,dockerhub_latest_release_published_at,dockerhub_stars,dockerhub_pulls,projectrank_placing,github_release_downloads,new_addition,helm_id,npm_id,npm_url,npm_latest_release_published_at,npm_dependent_project_count,npm_monthly_downloads,conda_dependent_project_count,trending,brew_id,apt_id,yum_id,snap_id,dnf_id,yay_id,maven_id,maven_url,maven_latest_release_published_at,maven_dependent_project_count\n0,ANN Benchmarks,erikbern/ann-benchmarks,True,nn-search,https://github.com/erikbern/ann-benchmarks,https://github.com/erikbern/ann-benchmarks,MIT,2015-05-28 13:21:43.000000,2020-12-21 17:49:43.000000,2020-12-17 23:33:58.000000,314.0,25.0,56.0,1966,1156.0,Benchmarks of approximate nearest neighbor libraries in Python.,52.0,0,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n1,best-of-web-python - Web Scraping,ml-tooling/best-of-web-python,True,web-scraping,https://github.com/ml-tooling/best-of-web-python,https://github.com/ml-tooling/best-of-web-python,CC-BY-SA-4.0,2021-01-05 13:09:27.000000,2021-01-08 01:03:57.000000,2021-01-08 01:03:55.000000,,,,2,,A ranked list of awesome python libraries for web development. Updated weekly.,,0,True,2021-01-08 01:07:00.000000,2021.01.08,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n2,Tensorflow,tensorflow/tensorflow,,ml-frameworks,https://github.com/tensorflow/tensorflow,https://github.com/tensorflow/tensorflow,Apache-2.0,2015-11-07 01:19:20.000000,2021-01-08 01:57:37.000000,2021-01-08 01:56:23.000000,83535.0,4248.0,25570.0,154047,102398.0,An Open Source Machine Learning Framework for Everyone.,3482.0,44,True,2021-01-06 17:51:27.000000,2.3.2,114.0,tensorflow,conda-forge/tensorflow,tensorflow/tensorflow,https://www.tensorflow.org/overview,['tensorflow'],138673.0,116149.0,https://pypi.org/project/tensorflow,2020-12-14 17:58:05.000000,22524.0,5735806.0,6522197.0,https://anaconda.org/conda-forge/tensorflow,2020-07-15 22:30:18.070000,2251246.0,https://hub.docker.com/r/tensorflow/tensorflow,2021-01-07 17:11:27.705801,1828.0,46349834.0,1.0,,,,,,,,,,,,,,,,,,,,\n3,pandas,pandas-dev/pandas,,data-containers,https://github.com/pandas-dev/pandas,https://github.com/pandas-dev/pandas,BSD-3-Clause,2010-08-24 01:37:33.000000,2021-01-08 01:14:21.000000,2021-01-08 00:19:43.000000,11652.0,3534.0,16251.0,27964,25539.0,\"Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R..\",2563.0,43,True,2020-12-26 16:58:54.000000,1.2.0,87.0,pandas,conda-forge/pandas,,,['pandas'],438868.0,362084.0,https://pypi.org/project/pandas,2020-12-26 16:58:54.000000,76784.0,24441436.0,24674731.0,https://anaconda.org/conda-forge/pandas,2020-12-27 15:52:28.489000,13025828.0,,,,,1.0,58117.0,,,,,,,,,,,,,,,,,,,\n4,numpy,numpy/numpy,,data-containers,https://github.com/numpy/numpy,https://github.com/numpy/numpy,BSD-3-Clause,2010-09-13 23:02:39.000000,2021-01-08 01:24:03.000000,2021-01-07 09:22:42.000000,5147.0,2221.0,7227.0,15925,25174.0,The fundamental package for scientific computing with Python.,1231.0,42,True,2021-01-05 17:49:34.000000,1.19.5,94.0,numpy,conda-forge/numpy,,,,762689.0,592967.0,https://pypi.org/project/numpy,2021-01-05 17:19:38.000000,169722.0,39308461.0,39581721.0,https://anaconda.org/conda-forge/numpy,2021-01-05 22:45:41.126000,14975366.0,,,,,1.0,292183.0,,,,,,,,,,,,,,,,,,,\n5,scikit-learn,scikit-learn/scikit-learn,,ml-frameworks,https://github.com/scikit-learn/scikit-learn,https://github.com/scikit-learn/scikit-learn,BSD-3-Clause,2010-08-17 09:43:38.000000,2021-01-07 21:45:43.000000,2021-01-06 14:48:57.000000,20797.0,2325.0,6586.0,43645,26404.0,scikit-learn: machine learning in Python.,2112.0,41,True,2020-12-22 16:55:16.000000,0.24.0,52.0,scikit-learn,conda-forge/scikit-learn,,,['sklearn'],218358.0,180470.0,https://pypi.org/project/scikit-learn,2020-12-22 15:06:38.000000,37888.0,10122724.0,10233654.0,https://anaconda.org/conda-forge/scikit-learn,2020-12-22 17:47:32.588000,6211522.0,,,,,1.0,626.0,,,,,,,,,,,,,,,,,,,\n6,Matplotlib,matplotlib/matplotlib,,data-viz,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,Python-2.0,2011-02-19 03:17:12.000000,2021-01-08 00:06:56.000000,2021-01-07 02:12:06.000000,5570.0,1654.0,5917.0,12897,37558.0,matplotlib: plotting with Python.,1191.0,40,True,2020-11-12 04:43:18.000000,3.3.3,61.0,matplotlib,conda-forge/matplotlib,,,,388660.0,309556.0,https://pypi.org/project/matplotlib,2020-11-12 04:43:18.000000,79104.0,9382518.0,9502542.0,https://anaconda.org/conda-forge/matplotlib,2020-11-18 02:20:26.810000,7681540.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n7,scipy,scipy/scipy,,others,https://github.com/scipy/scipy,https://github.com/scipy/scipy,BSD-3-Clause,2011-03-09 18:52:03.000000,2021-01-08 01:10:37.000000,2021-01-07 05:51:15.000000,3507.0,1569.0,5649.0,7815,24765.0,\"Ecosystem of open-source software for mathematics, science, and engineering.\",1107.0,40,True,2020-12-31 15:02:43.000000,1.6.0,59.0,scipy,conda-forge/scipy,,,,376396.0,289534.0,https://pypi.org/project/scipy,2020-12-22 21:20:33.000000,86862.0,14038416.0,14249821.0,https://anaconda.org/conda-forge/scipy,2021-01-01 00:23:34.909000,11581540.0,,,,,1.0,303075.0,True,,,,,,,,,,,,,,,,,,\n8,PyTorch,pytorch/pytorch,,ml-frameworks,https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41.000000,2021-01-08 02:17:46.000000,2021-01-08 00:20:16.000000,11602.0,7100.0,12478.0,45296,32587.0,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,2453.0,39,True,2020-12-10 17:19:58.000000,1.7.1,30.0,torch,pytorch/pytorch,,https://pytorch.org/docs/stable/index.html,['pytorch'],64432.0,57750.0,https://pypi.org/project/torch,2020-12-10 16:22:02.000000,6682.0,1789765.0,2043372.0,https://anaconda.org/pytorch/pytorch,2020-12-10 16:11:32.801000,9637085.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n9,PySpark,apache/spark,,ml-frameworks,https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08.000000,2021-01-08 01:46:58.000000,2021-01-08 00:47:37.000000,23144.0,204.0,,28476,29022.0,Apache Spark Python API.,2381.0,38,True,2020-09-07 15:29:07.000000,3.0.1,21.0,pyspark,conda-forge/pyspark,,,['spark'],1296.0,536.0,https://pypi.org/project/pyspark,2020-09-07 15:29:07.000000,760.0,6663549.0,6682254.0,https://anaconda.org/conda-forge/pyspark,2020-09-07 17:29:01.440000,860430.0,,,,,1.0,,,stable/spark,,,,,,,,,,,,,,,,,\n10,Pillow,python-pillow/Pillow,,image,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000000,2021-01-07 21:31:57.000000,2021-01-07 13:06:22.000000,1554.0,233.0,1855.0,8080,11088.0,The friendly PIL fork (Python Imaging Library).,343.0,38,True,2021-01-02 20:13:09.000000,8.1.0,77.0,Pillow,conda-forge/pillow,,,,488549.0,377123.0,https://pypi.org/project/Pillow,2021-01-02 20:11:59.000000,111426.0,14350709.0,14466992.0,https://anaconda.org/conda-forge/pillow,2021-01-02 23:10:11.941000,6628173.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n11,spaCy,explosion/spaCy,,nlp,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000000,2021-01-08 00:36:23.000000,2021-01-08 00:36:22.000000,3200.0,90.0,4138.0,17969,11722.0,Industrial-strength Natural Language Processing (NLP) with Python and Cython.,544.0,37,True,2020-12-11 14:45:05.000000,2.3.5,169.0,spacy,conda-forge/spacy,,,,23198.0,20132.0,https://pypi.org/project/spacy,2020-12-11 14:45:05.000000,3066.0,902958.0,932271.0,https://anaconda.org/conda-forge/spacy,2020-12-18 10:09:15.705000,1375076.0,,,,,1.0,2907.0,,,,,,,,,,,,,,,,,,,\n12,Celery,celery/celery,,data-pipelines,https://github.com/celery/celery,https://github.com/celery/celery,BSD-3-Clause,2009-04-24 11:31:24.000000,2021-01-07 15:22:33.000000,2021-01-07 10:18:06.000000,3908.0,487.0,3917.0,16495,11483.0,Asynchronous task queue/job queue based on distributed message passing.,1071.0,37,True,2020-12-16 15:41:18.000000,5.0.5,171.0,celery,conda-forge/celery,,,,75519.0,47285.0,https://pypi.org/project/celery,2020-12-16 15:34:09.000000,28234.0,2036003.0,2042219.0,https://anaconda.org/conda-forge/celery,2020-11-11 10:39:38.599000,360576.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n13,networkx,networkx/networkx,,graph,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44.000000,2021-01-07 20:58:13.000000,2021-01-07 15:07:15.000000,2155.0,253.0,2285.0,8454,6373.0,Network Analysis in Python.,484.0,37,True,2020-08-22 20:10:33.000000,networkx-2.5,52.0,networkx,conda-forge/networkx,,,,84624.0,63806.0,https://pypi.org/project/networkx,2020-08-22 20:38:37.000000,20818.0,5398152.0,5453512.0,https://anaconda.org/conda-forge/networkx,2020-08-23 19:29:02.065000,2823408.0,,,,,1.0,51.0,,,,,,,,,,,,,,,,,,,\n14,boto3,boto/boto3,,db-clients,https://github.com/boto/boto3,https://github.com/boto/boto3,Apache-2.0,2014-10-03 21:38:03.000000,2021-01-08 02:09:34.046000,2021-01-07 20:51:27.000000,1300.0,304.0,1945.0,6034,4023.0,AWS SDK for Python.,108.0,37,True,2021-01-07 22:08:14.000000,1.16.51,738.0,boto3,conda-forge/boto3,,,,115206.0,92116.0,https://pypi.org/project/boto3,2021-01-07 22:08:14.000000,23090.0,52674453.0,52757693.0,https://anaconda.org/conda-forge/boto3,2021-01-08 02:09:34.046000,4162033.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n15,SQLAlchemy,sqlalchemy/sqlalchemy,,db-clients,https://github.com/sqlalchemy/sqlalchemy,https://github.com/sqlalchemy/sqlalchemy,MIT,2017-01-02 21:50:52.207000,2021-01-07 21:31:19.000000,2021-01-07 20:59:59.000000,491.0,153.0,5392.0,3174,13457.0,The Database Toolkit for Python.,448.0,37,True,2020-12-18 21:13:06.000000,1.3.22,207.0,SQLAlchemy,conda-forge/sqlalchemy,,,,311610.0,227904.0,https://pypi.org/project/SQLAlchemy,2020-12-18 21:13:06.000000,83706.0,12466943.0,12527009.0,https://anaconda.org/conda-forge/sqlalchemy,2020-12-19 08:49:20.725000,2879683.0,,,,,1.0,1170.0,,,,,,,,,,,,,,,,,,,\n16,transformers,huggingface/transformers,,nlp,https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000000,2021-01-08 01:53:10.000000,2021-01-07 22:10:16.000000,9551.0,558.0,5025.0,39063,6258.0,Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.,745.0,36,True,2020-12-17 17:09:51.000000,4.1.1,44.0,transformers,conda-forge/transformers,,,\"['pytorch', 'tensorflow']\",6825.0,6697.0,https://pypi.org/project/transformers,2020-12-17 16:27:28.000000,128.0,679818.0,680784.0,https://anaconda.org/conda-forge/transformers,2020-12-19 08:26:53.237000,13786.0,,,,,1.0,1240.0,,,,,,,,,,,,,,,,,,,\n17,Faker,joke2k/faker,,data-loading,https://github.com/joke2k/faker,https://github.com/joke2k/faker,MIT,2012-11-12 23:00:09.000000,2021-01-07 17:28:28.119000,2021-01-07 16:11:07.000000,1346.0,137.0,343.0,11893,2503.0,Faker is a Python package that generates fake data for you.,380.0,36,True,2021-01-07 16:13:32.000000,5.4.0,106.0,Faker,conda-forge/faker,,,,26846.0,22134.0,https://pypi.org/project/Faker,2021-01-07 16:11:45.000000,4712.0,2014053.0,2021878.0,https://anaconda.org/conda-forge/faker,2021-01-07 17:28:28.119000,359994.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n18,redis,andymccurdy/redis-py,,db-clients,https://github.com/andymccurdy/redis-py,https://github.com/andymccurdy/redis-py,MIT,2009-11-06 10:22:26.000000,2020-12-21 07:23:24.000000,2020-11-22 20:52:44.000000,1903.0,62.0,808.0,9007,1550.0,Redis Python Client.,248.0,36,True,2020-06-01 21:30:33.000000,3.5.3,66.0,redis,,,,,49438.0,,https://pypi.org/project/redis,2020-06-01 21:30:33.000000,49438.0,8302376.0,8302376.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n19,SymPy,sympy/sympy,,others,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000000,2021-01-08 02:36:32.000000,2021-01-07 09:31:39.000000,3209.0,3953.0,7072.0,7718,45646.0,A computer algebra system written in pure Python.,1029.0,36,True,2020-12-12 23:23:00.000000,1.7.1,36.0,sympy,conda-forge/sympy,,,,34234.0,27812.0,https://pypi.org/project/sympy,2020-12-12 23:23:00.000000,6422.0,565639.0,592135.0,https://anaconda.org/conda-forge/sympy,2020-12-13 04:16:18.209000,1227451.0,,,,,1.0,412037.0,,,,,,,,,,,,,,,,,,,\n20,StatsModels,statsmodels/statsmodels,,ml-frameworks,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000000,2021-01-07 23:50:52.000000,2021-01-07 18:56:57.000000,2140.0,2059.0,2236.0,5884,13532.0,Statsmodels: statistical modeling and econometrics in Python.,297.0,36,True,2020-10-29 16:36:43.000000,0.12.1,24.0,statsmodels,conda-forge/statsmodels,,,,41983.0,35327.0,https://pypi.org/project/statsmodels,2020-10-29 16:36:43.000000,6656.0,2016248.0,2072526.0,https://anaconda.org/conda-forge/statsmodels,2020-11-21 19:18:02.779000,3095299.0,,,,,1.0,25.0,,,,,,,,,,,,,,,,,,,\n21,Tensorboard,tensorflow/tensorboard,,ml-experiments,https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000000,2021-01-08 01:20:16.000000,2021-01-08 00:40:59.000000,1338.0,563.0,903.0,5107,4140.0,TensorFlow's Visualization Toolkit.,248.0,36,True,2020-11-12 03:15:42.000000,2.4.0,35.0,tensorboard,conda-forge/tensorboard,,,['tensorflow'],54071.0,50457.0,https://pypi.org/project/tensorboard,2020-11-12 03:15:33.000000,3614.0,5243161.0,5283040.0,https://anaconda.org/conda-forge/tensorboard,2020-11-12 07:26:37.897000,1515427.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n22,scikit-image,scikit-image/scikit-image,,image,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,BSD-2-Clause,2011-07-07 22:07:20.000000,2021-01-07 21:08:11.000000,2021-01-07 08:19:17.000000,1713.0,644.0,1475.0,4123,12457.0,Image processing in Python.,474.0,36,True,2020-12-23 06:36:46.000000,0.18.1,35.0,scikit-image,conda-forge/scikit-image,,,,72651.0,57877.0,https://pypi.org/project/scikit-image,2020-12-23 06:36:46.000000,14774.0,1882766.0,1919078.0,https://anaconda.org/conda-forge/scikit-image,2020-12-23 15:59:08.642000,2033477.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n23,pymongo,mongodb/mongo-python-driver,,db-clients,https://github.com/mongodb/mongo-python-driver,https://github.com/mongodb/mongo-python-driver,Apache-2.0,2009-01-15 15:18:06.000000,2021-01-08 00:03:51.000000,2021-01-06 23:15:37.000000,969.0,7.0,,3196,4619.0,PyMongo - the Python driver for MongoDB.,179.0,36,True,2020-12-02 23:37:26.000000,3.11.2,115.0,pymongo,conda-forge/pymongo,,,,118941.0,83079.0,https://pypi.org/project/pymongo,2020-12-02 23:31:25.000000,35862.0,5897637.0,5903476.0,https://anaconda.org/conda-forge/pymongo,2020-10-12 20:39:14.177000,321145.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n24,h5py,h5py/h5py,,data-containers,https://github.com/h5py/h5py,https://github.com/h5py/h5py,BSD-3-Clause,2012-09-21 00:40:02.000000,2021-01-07 11:01:40.000000,2021-01-06 14:55:54.000000,393.0,182.0,939.0,1460,3476.0,HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.,157.0,36,True,2020-11-06 14:30:54.000000,3.1.0,25.0,h5py,conda-forge/h5py,,,,120397.0,97461.0,https://pypi.org/project/h5py,2020-11-06 14:30:54.000000,22936.0,5394084.0,5469857.0,https://anaconda.org/conda-forge/h5py,2021-01-01 10:48:16.133000,4393928.0,,,,,1.0,771.0,,,,,,,,,,,,,,,,,,,\n25,Keras,keras-team/keras,,ml-frameworks,https://github.com/keras-team/keras,https://github.com/keras-team/keras,MIT,2015-03-28 00:35:42.000000,2021-01-07 22:42:03.000000,2021-01-07 02:21:37.000000,18680.0,3153.0,7222.0,50462,5364.0,Deep Learning for humans.,894.0,35,True,2020-06-24 22:40:48.000000,2.4.3,53.0,keras,conda-forge/keras,,https://keras.io,['tensorflow'],14996.0,,https://pypi.org/project/keras,2020-06-24 22:40:48.000000,14996.0,1930100.0,1956346.0,https://anaconda.org/conda-forge/keras,2020-06-25 19:13:34.254000,1391066.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n26,OpenAI Gym,openai/gym,,reinforcement-learning,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16.000000,2021-01-07 14:14:15.000000,2020-12-18 23:40:47.000000,6583.0,230.0,1062.0,23106,1240.0,A toolkit for developing and comparing reinforcement learning algorithms.,271.0,35,True,2020-12-19 00:29:36.000000,0.18.0,92.0,gym,,,,,20576.0,17014.0,https://pypi.org/project/gym,2020-12-19 00:29:36.000000,3562.0,292757.0,292757.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n27,XGBoost,dmlc/xgboost,,ml-frameworks,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000000,2021-01-08 02:05:40.000000,2021-01-08 02:05:39.000000,7840.0,263.0,3643.0,20363,5177.0,\"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..\",501.0,35,True,2020-12-22 13:38:41.000000,1.3.1,50.0,xgboost,conda-forge/xgboost,,https://xgboost.readthedocs.io/en/latest/,,14373.0,12781.0,https://pypi.org/project/xgboost,2020-12-09 19:03:33.000000,1592.0,2640783.0,2668622.0,https://anaconda.org/conda-forge/xgboost,2020-12-10 13:41:20.626000,1279598.0,,,,,2.0,1870.0,,,,,,,,,,,,,,,,,,,\n28,Airflow,apache/airflow,,data-pipelines,https://github.com/apache/airflow,https://github.com/apache/airflow,Apache-2.0,2015-04-13 18:04:58.000000,2021-01-08 02:34:51.954521,2021-01-07 23:54:19.000000,7738.0,968.0,1801.0,20125,11327.0,\"Platform to programmatically author, schedule, and monitor workflows.\",1700.0,35,True,2020-12-18 13:21:47.000000,2.0.0,67.0,apache-airflow,conda-forge/airflow,apache/airflow,,,294.0,,https://pypi.org/project/apache-airflow,2020-12-14 17:07:53.000000,294.0,555061.0,616609.0,https://anaconda.org/conda-forge/airflow,2020-11-26 16:17:26.980000,254290.0,https://hub.docker.com/r/apache/airflow,2021-01-08 02:34:51.954521,198.0,3770801.0,1.0,72817.0,,stable/airflow,,,,,,,,,,,,,,,,,\n29,LightGBM,microsoft/LightGBM,,ml-frameworks,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000000,2021-01-08 01:51:50.000000,2021-01-07 20:34:51.000000,3136.0,88.0,1925.0,12019,2201.0,\"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..\",194.0,35,True,2020-12-08 03:00:35.000000,3.1.1,24.0,lightgbm,conda-forge/lightgbm,,,,5754.0,5198.0,https://pypi.org/project/lightgbm,2020-12-08 03:00:35.000000,556.0,1389831.0,1402649.0,https://anaconda.org/conda-forge/lightgbm,2020-12-08 18:04:57.617000,459555.0,,,,,2.0,84498.0,,,,,,,,,,,,,,,,,,,\n30,gensim,RaRe-Technologies/gensim,,nlp,https://github.com/RaRe-Technologies/gensim,https://github.com/RaRe-Technologies/gensim,LGPL-2.1,2011-02-10 07:43:04.000000,2021-01-07 13:16:42.000000,2020-11-15 20:49:41.000000,3825.0,349.0,1241.0,11560,3849.0,Topic Modelling for Humans.,384.0,35,False,2020-05-04 05:55:15.000000,3.8.3,83.0,gensim,conda-forge/gensim,,,,24597.0,19855.0,https://pypi.org/project/gensim,2020-11-15 12:53:37.000000,4742.0,7277107.0,7291756.0,https://anaconda.org/conda-forge/gensim,2020-05-14 08:28:35.604000,584141.0,,,,,1.0,2895.0,,,,,,,,,,,,,,,,,,,\n31,Plotly,plotly/plotly.py,,data-viz,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000000,2021-01-04 20:17:25.000000,2020-12-29 17:55:42.000000,1711.0,760.0,1041.0,8594,4886.0,The interactive graphing library for Python (includes Plotly Express).,158.0,35,True,2020-12-09 13:48:45.000000,4.14.1,263.0,plotly,conda-forge/plotly,,,,4991.0,5.0,https://pypi.org/project/plotly,2020-12-09 13:29:15.000000,4982.0,2767109.0,2818103.0,https://anaconda.org/conda-forge/plotly,2020-12-09 14:47:46.237000,1141581.0,,,,,1.0,,,,plotlywidget,https://www.npmjs.com/package/plotlywidget,2020-12-09 13:24:37.313000,4.0,29455.0,,,,,,,,,,,,\n32,torchvision,pytorch/vision,,image,https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000000,2021-01-07 21:52:34.000000,2021-01-07 21:52:33.000000,4185.0,470.0,1055.0,8079,1403.0,\"Datasets, Transforms and Models specific to Computer Vision.\",348.0,35,True,2020-12-10 17:10:41.000000,0.8.2,21.0,torchvision,conda-forge/torchvision,,,['pytorch'],43047.0,38435.0,https://pypi.org/project/torchvision,2020-12-10 16:27:20.000000,4612.0,774115.0,775036.0,https://anaconda.org/conda-forge/torchvision,2018-10-14 22:06:28.203000,34108.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n33,Seaborn,mwaskom/seaborn,,data-viz,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000000,2021-01-05 22:34:55.000000,2021-01-05 19:40:56.000000,1361.0,82.0,1656.0,7974,2736.0,Statistical data visualization using matplotlib.,144.0,35,True,2020-12-20 20:53:25.000000,0.11.1,23.0,seaborn,conda-forge/seaborn,,,,89113.0,76327.0,https://pypi.org/project/seaborn,2020-12-20 20:53:25.000000,12786.0,1978505.0,2013321.0,https://anaconda.org/conda-forge/seaborn,2020-12-21 10:06:33.576000,1845225.0,,,,,1.0,112.0,,,,,,,,,,,,,,,,,,,\n34,dask,dask/dask,,distributed-ml,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000000,2021-01-08 01:28:17.000000,2021-01-07 19:28:55.000000,1204.0,714.0,2785.0,7728,6274.0,Parallel computing with task scheduling.,420.0,35,True,2020-12-11 01:53:58.000000,2020.12.0,109.0,dask,conda-forge/dask,,,,28192.0,24276.0,https://pypi.org/project/dask,2020-12-11 01:53:58.000000,3916.0,1280849.0,1330967.0,https://anaconda.org/conda-forge/dask,2020-12-11 06:35:53.129000,2806651.0,,,,,1.0,,,stable/dask,,,,,,,,,,,,,,,,,\n35,Arrow,apache/arrow,,data-containers,https://github.com/apache/arrow,https://github.com/apache/arrow,Apache-2.0,2016-02-17 08:00:23.000000,2021-01-08 01:58:35.000000,2021-01-08 01:58:15.000000,1712.0,119.0,540.0,6833,8272.0,Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-..,611.0,35,True,2020-10-19 21:15:12.000000,2.0.0,29.0,pyarrow,conda-forge/arrow,,,,1014.0,28.0,https://pypi.org/project/pyarrow,2020-10-19 21:15:12.000000,986.0,13534882.0,13542810.0,https://anaconda.org/conda-forge/arrow,2020-10-12 18:31:14.221000,443983.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n36,PyMySQL,PyMySQL/PyMySQL,,db-clients,https://github.com/PyMySQL/PyMySQL,https://github.com/PyMySQL/PyMySQL,MIT,2011-07-27 17:38:47.000000,2021-01-08 01:38:15.000000,2021-01-08 01:38:14.000000,1238.0,18.0,524.0,6275,994.0,Pure Python MySQL Client.,108.0,35,True,2020-09-10 07:38:01.000000,1.0.0,33.0,PyMySQL,conda-forge/pymysql,,,,89973.0,71547.0,https://pypi.org/project/PyMySQL,2021-01-07 00:52:59.000000,18426.0,5377824.0,5383794.0,https://anaconda.org/conda-forge/pymysql,2021-01-07 04:37:43.358000,232861.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n37,google-cloud-storage,googleapis/google-cloud-python,,db-clients,https://github.com/googleapis/google-cloud-python,https://github.com/googleapis/google-cloud-python,Apache-2.0,2014-01-28 15:51:47.000000,2021-01-06 20:46:41.990000,2020-10-29 21:15:18.000000,1333.0,22.0,3314.0,3450,9049.0,Google Cloud Client Library for Python.,311.0,35,True,2020-12-14 23:49:51.000000,1.35.0,100.0,google-cloud-storage,conda-forge/google-cloud-storage,,,,2108.0,,https://pypi.org/project/google-cloud-storage,2020-12-14 23:49:51.000000,2108.0,15654994.0,15668115.0,https://anaconda.org/conda-forge/google-cloud-storage,2021-01-06 20:46:41.990000,564214.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n38,elasticsearch,elastic/elasticsearch-py,,db-clients,https://github.com/elastic/elasticsearch-py,https://github.com/elastic/elasticsearch-py,Apache-2.0,2013-05-01 22:47:39.000000,2021-01-04 23:08:07.000000,2021-01-04 23:01:33.000000,957.0,71.0,772.0,3061,1263.0,Official Python low-level client for Elasticsearch.,169.0,35,True,2020-12-09 17:27:30.000000,7.10.1,64.0,elasticsearch,conda-forge/elasticsearch,,,,29860.0,19286.0,https://pypi.org/project/elasticsearch,2020-12-09 17:25:00.000000,10574.0,3569982.0,3576291.0,https://anaconda.org/conda-forge/elasticsearch,2020-12-11 18:29:47.476000,345869.0,,,,,1.0,64.0,,,,,,,,,,,,,,,,,,,\n39,psycopg2,psycopg/psycopg2,,db-clients,https://github.com/psycopg/psycopg2,https://github.com/psycopg/psycopg2,BSD-3-Clause-Attribution,2013-01-21 11:05:11.000000,2020-12-25 15:42:39.583000,2020-12-16 23:41:45.000000,361.0,44.0,928.0,2022,2871.0,PostgreSQL database adapter for the Python programming language.,111.0,35,False,2020-12-25 13:51:59.000000,2.8.6,45.0,psycopg2,psycopg2,,,,408173.0,288961.0,https://pypi.org/project/psycopg2,2020-09-06 22:41:27.000000,119212.0,5327588.0,5328051.0,https://anaconda.org/anaconda/psycopg2,2020-12-16 23:03:43.011000,28729.0,,,,,1.0,,,,,,,,,0.0,,,,,,,,,,,\n40,MXNet,apache/incubator-mxnet,,ml-frameworks,https://github.com/apache/incubator-mxnet,https://github.com/apache/incubator-mxnet,Apache-2.0,2015-04-30 16:21:15.000000,2021-01-08 01:51:51.000000,2021-01-05 13:44:48.000000,6803.0,1812.0,7543.0,19211,11497.0,\"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..\",948.0,34,True,2020-08-28 05:08:24.000000,1.7.0,976.0,mxnet,mxnet,,,['mxnet'],2150.0,1706.0,https://pypi.org/project/mxnet,2020-08-28 06:18:15.000000,444.0,150059.0,150628.0,https://anaconda.org/anaconda/mxnet,2020-02-29 00:58:31.007000,5663.0,,,,,2.0,23327.0,,,,,,,,0.0,,,,,,,,,,,\n41,dash,plotly/dash,,data-viz,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000000,2021-01-07 01:35:50.000000,2021-01-07 01:35:48.000000,1401.0,401.0,551.0,13645,3542.0,\"Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.\",70.0,34,True,2020-12-09 22:01:52.000000,1.18.1,136.0,dash,conda-forge/dash,,,,17853.0,16245.0,https://pypi.org/project/dash,2020-12-09 21:34:25.000000,1608.0,233447.0,239836.0,https://anaconda.org/conda-forge/dash,2020-12-11 15:37:58.126000,204467.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n42,nltk,nltk/nltk,,nlp,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58.000000,2021-01-05 07:02:26.000000,2021-01-02 00:33:13.000000,2397.0,243.0,1220.0,9532,,Suite of libraries and programs for symbolic and statistical natural language processing for English.,386.0,34,True,2019-08-20 10:55:21.000000,3.4.5,39.0,nltk,conda-forge/nltk,,,,105958.0,84966.0,https://pypi.org/project/nltk,2020-04-12 23:46:10.000000,20992.0,4563052.0,4574576.0,https://anaconda.org/conda-forge/nltk,2019-08-08 17:07:46.504000,610810.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n43,Theano,Theano/Theano,,ml-frameworks,https://github.com/Theano/Theano,https://github.com/Theano/Theano,BSD-3-Clause,2011-08-10 03:48:06.000000,2020-11-01 11:19:03.292000,2020-09-05 10:39:50.000000,2501.0,674.0,2081.0,9326,28123.0,\"Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-..\",382.0,34,True,2020-07-27 16:13:54.000000,1.0.5,45.0,theano,conda-forge/theano,,,,15410.0,9936.0,https://pypi.org/project/theano,2020-07-27 16:13:54.000000,5474.0,205788.0,229088.0,https://anaconda.org/conda-forge/theano,2020-11-01 11:19:03.292000,1258228.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n44,mlflow,mlflow/mlflow,,ml-experiments,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000000,2021-01-08 00:29:36.000000,2021-01-08 00:29:37.000000,1830.0,661.0,1027.0,8114,1844.0,Open source platform for the machine learning lifecycle.,272.0,34,True,2020-12-31 09:17:41.000000,1.13.1,40.0,mlflow,conda-forge/mlflow,,,,1913.0,1759.0,https://pypi.org/project/mlflow,2020-12-31 08:55:08.000000,154.0,2479185.0,2488454.0,https://anaconda.org/conda-forge/mlflow,2020-12-31 14:14:06.094000,194665.0,,,,,1.0,,,,,,,,,,1.0,,,,,,,,,,\n45,kafka-python,dpkp/kafka-python,,db-clients,https://github.com/dpkp/kafka-python,https://github.com/dpkp/kafka-python,Apache-2.0,2012-09-24 13:00:26.000000,2021-01-07 11:56:19.000000,2020-12-02 14:45:13.000000,1099.0,137.0,1148.0,4165,2152.0,Python client for Apache Kafka.,202.0,34,True,2020-09-30 07:33:37.000000,2.0.1,36.0,kafka-python,conda-forge/kafka-python,,,,7657.0,5637.0,https://pypi.org/project/kafka-python,2020-09-30 07:24:01.000000,2020.0,1919653.0,1924963.0,https://anaconda.org/conda-forge/kafka-python,2020-09-30 13:01:38.284000,232742.0,,,,,2.0,1666.0,,,,,,,,,,,,,,,,,,,\n46,Bokeh,bokeh/bokeh,,data-viz,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000000,2021-01-07 16:14:10.000000,2021-01-07 16:14:09.000000,3591.0,591.0,5722.0,14489,,\"Interactive Data Visualization in the browser, from Python.\",543.0,33,True,2020-10-21 02:39:03.000000,2.2.3,81.0,bokeh,conda-forge/bokeh,,,,35398.0,29526.0,https://pypi.org/project/bokeh,2020-12-08 11:21:40.000000,5872.0,1075183.0,1153665.0,https://anaconda.org/conda-forge/bokeh,2020-11-23 14:37:30.508000,3531734.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n47,Ray,ray-project/ray,,distributed-ml,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000000,2021-01-08 02:30:02.000000,2021-01-08 02:30:00.000000,2280.0,1163.0,4442.0,14350,6872.0,\"An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged..\",413.0,33,True,2020-12-24 10:13:39.000000,1.1.0,43.0,ray,,,,,1600.0,1440.0,https://pypi.org/project/ray,2020-12-24 10:13:39.000000,160.0,180745.0,180745.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n48,luigi,spotify/luigi,,data-pipelines,https://github.com/spotify/luigi,https://github.com/spotify/luigi,Apache-2.0,2012-09-20 15:06:38.000000,2021-01-07 09:23:20.000000,2020-12-29 12:23:53.000000,2208.0,67.0,835.0,14079,3940.0,\"Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution,..\",547.0,33,True,2020-09-23 11:57:43.000000,3.0.2,72.0,luigi,luigi,,,,1974.0,1298.0,https://pypi.org/project/luigi,2020-09-23 11:57:12.000000,676.0,370081.0,370186.0,https://anaconda.org/anaconda/luigi,2020-07-21 19:50:10.849000,6230.0,,,,,1.0,,,stable/luigi,,,,,,,,,,,,,,,,,\n49,shap,slundberg/shap,,interpretability,https://github.com/slundberg/shap,https://github.com/slundberg/shap,MIT,2016-11-22 19:17:08.000000,2021-01-05 21:04:58.000000,2021-01-05 05:03:17.000000,1625.0,880.0,490.0,11343,1746.0,A game theoretic approach to explain the output of any machine learning model.,141.0,33,True,2020-11-04 21:38:32.000000,0.37.0,92.0,shap,conda-forge/shap,,,,1970.0,1834.0,https://pypi.org/project/shap,2020-11-04 21:38:32.000000,136.0,779803.0,791734.0,https://anaconda.org/conda-forge/shap,2020-12-16 19:26:39.477000,346014.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n50,pytorch-lightning,PyTorchLightning/pytorch-lightning,,ml-frameworks,https://github.com/PyTorchLightning/pytorch-lightning,https://github.com/PyTorchLightning/pytorch-lightning,Apache-2.0,2019-03-31 00:45:57.000000,2021-01-08 00:00:49.000000,2021-01-07 05:24:47.000000,1273.0,351.0,2363.0,11298,4041.0,\"The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.\",361.0,33,True,2021-01-06 10:28:26.000000,1.1.3,145.0,pytorch-lightning,conda-forge/pytorch-lightning,,,['pytorch'],1602.0,1588.0,https://pypi.org/project/pytorch-lightning,2021-01-06 10:28:26.000000,14.0,96388.0,98287.0,https://anaconda.org/conda-forge/pytorch-lightning,2021-01-06 12:51:32.031000,13288.0,,,,,2.0,30.0,,,,,,,,,,,,,,,,,,,\n51,dlib,davisking/dlib,,ml-frameworks,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000000,2021-01-06 12:48:35.000000,2021-01-06 12:48:16.000000,2832.0,46.0,1804.0,9780,7899.0,A toolkit for making real world machine learning and data analysis applications in C++.,162.0,33,False,2020-12-04 19:23:04.000000,19.21.1,28.0,dlib,conda-forge/dlib,,,,9191.0,7833.0,https://pypi.org/project/dlib,2020-12-04 19:23:04.000000,1358.0,72497.0,77820.0,https://anaconda.org/conda-forge/dlib,2020-12-05 11:14:31.456000,257990.0,,,,,2.0,24288.0,,,,,,,,,,,,,,,,,,,\n52,onnx,onnx/onnx,,model-serialisation,https://github.com/onnx/onnx,https://github.com/onnx/onnx,Apache-2.0,2017-09-07 04:53:45.000000,2021-01-08 02:34:22.000000,2021-01-07 22:16:14.000000,1752.0,514.0,910.0,9602,1657.0,Open standard for machine learning interoperability.,190.0,33,True,2020-11-07 00:55:30.000000,1.8.0,19.0,onnx,conda-forge/onnx,,,,2634.0,2338.0,https://pypi.org/project/onnx,2020-11-06 22:46:10.000000,296.0,324525.0,329476.0,https://anaconda.org/conda-forge/onnx,2020-11-10 11:04:34.755000,178740.0,,,,,1.0,9687.0,,,,,,,,,,,,,,,,,,,\n53,peewee,coleifer/peewee,,db-clients,https://github.com/coleifer/peewee,https://github.com/coleifer/peewee,MIT,2010-10-11 20:14:11.000000,2020-12-29 14:56:49.000000,2020-12-29 14:56:31.000000,1254.0,2.0,1914.0,8067,4283.0,\"a small, expressive orm -- supports postgresql, mysql and sqlite.\",144.0,33,True,2020-11-07 18:48:43.000000,3.14.0,165.0,peewee,conda-forge/peewee,,,,18191.0,11727.0,https://pypi.org/project/peewee,2020-11-07 18:47:45.000000,6464.0,169499.0,174480.0,https://anaconda.org/conda-forge/peewee,2020-11-11 21:24:13.453000,268995.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n54,python-bigquery,googleapis/python-bigquery,,db-clients,https://github.com/googleapis/python-bigquery,https://github.com/googleapis/python-bigquery,Apache-2.0,2019-12-10 00:09:04.000000,2021-01-07 13:22:46.000000,2021-01-06 23:26:11.000000,1333.0,43.0,162.0,3426,1071.0,Google BigQuery API client library.,86.0,33,True,2020-12-09 21:06:40.000000,2.6.1,74.0,google-cloud-bigquery,,,,,7493.0,6243.0,https://pypi.org/project/google-cloud-bigquery,2020-12-09 21:06:40.000000,1250.0,7786569.0,7786569.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n55,geopy,geopy/geopy,,geospatial-data,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000000,2020-12-31 17:30:28.000000,2020-12-27 16:15:28.000000,524.0,24.0,211.0,3145,1004.0,Geocoding library for Python.,117.0,33,True,2020-12-27 13:15:23.000000,2.1.0,57.0,geopy,conda-forge/geopy,,,,22476.0,15232.0,https://pypi.org/project/geopy,2020-12-27 13:12:21.000000,7244.0,3708315.0,3716837.0,https://anaconda.org/conda-forge/geopy,2020-12-27 14:22:55.127000,494311.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n56,xlrd,python-excel/xlrd,,data-loading,https://github.com/python-excel/xlrd,https://github.com/python-excel/xlrd,BSD-3-Clause,2012-03-07 04:50:48.000000,2020-12-12 15:24:26.000000,2020-12-12 15:24:25.000000,406.0,3.0,,1841,502.0,Please use openpyxl where you can...,50.0,33,True,2020-12-11 10:14:20.000000,2.0.1,24.0,xlrd,conda-forge/xlrd,,,,74467.0,60893.0,https://pypi.org/project/xlrd,2020-12-11 10:14:20.000000,13574.0,5430293.0,5454864.0,https://anaconda.org/conda-forge/xlrd,2020-07-25 21:25:25.518000,1130281.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n57,Fastai,fastai/fastai,,ml-frameworks,https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000000,2021-01-08 01:18:42.000000,2021-01-08 01:18:41.000000,6874.0,59.0,1292.0,20233,1639.0,The fastai deep learning library.,472.0,32,True,2021-01-07 16:53:05.000000,2.2.2,113.0,fastai,,,,['pytorch'],368.0,,https://pypi.org/project/fastai,2021-01-07 16:53:29.000000,368.0,136022.0,136022.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n58,jax,google/jax,,ml-frameworks,https://github.com/google/jax,https://github.com/google/jax,Apache-2.0,2018-10-25 21:25:02.000000,2021-01-08 00:47:29.000000,2021-01-08 00:45:11.000000,931.0,715.0,1339.0,10986,6475.0,\"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.\",241.0,32,True,2020-12-05 06:20:45.000000,0.2.7,86.0,jax,conda-forge/jaxlib,,,,1004.0,958.0,https://pypi.org/project/jax,2020-12-05 06:20:45.000000,46.0,92309.0,95992.0,https://anaconda.org/conda-forge/jaxlib,2020-10-14 04:33:18.732000,66295.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n59,tensor2tensor,tensorflow/tensor2tensor,,tensorflow-utils,https://github.com/tensorflow/tensor2tensor,https://github.com/tensorflow/tensor2tensor,Apache-2.0,2017-06-15 16:57:39.000000,2020-12-15 01:23:04.000000,2020-11-16 14:28:10.000000,2696.0,544.0,663.0,10775,4345.0,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,230.0,32,True,2020-06-17 16:15:36.000000,1.15.7,79.0,tensor2tensor,,,,['tensorflow'],960.0,878.0,https://pypi.org/project/tensor2tensor,2020-06-17 16:15:36.000000,82.0,87631.0,87631.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n60,Rasa,RasaHQ/rasa,,nlp,https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49.000000,2021-01-07 23:34:17.000000,2021-01-04 08:48:36.000000,3223.0,564.0,4322.0,10488,24099.0,\"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..\",452.0,32,True,2021-01-06 18:40:23.000000,2.2.3,175.0,rasa,,,,['tensorflow'],64.0,,https://pypi.org/project/rasa,2021-01-06 18:40:12.000000,64.0,73751.0,73751.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n61,PyMC3,pymc-devs/pymc3,,probabilistics,https://github.com/pymc-devs/pymc3,https://github.com/pymc-devs/pymc3,Apache-2.0,2009-05-05 09:43:50.000000,2021-01-07 17:16:06.000000,2021-01-05 17:33:40.000000,1316.0,150.0,1955.0,5473,7622.0,Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano.,301.0,32,True,2020-12-07 15:59:43.000000,3.10.0,30.0,pymc3,conda-forge/pymc3,,,,2207.0,1921.0,https://pypi.org/project/pymc3,2020-12-07 15:45:00.000000,286.0,116323.0,120994.0,https://anaconda.org/conda-forge/pymc3,2020-12-07 20:54:14.048000,238202.0,,,,,1.0,145.0,,,,,,,,,,,,,,,,,,,\n62,folium,python-visualization/folium,,geospatial-data,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000000,2021-01-06 21:06:10.173000,2021-01-04 08:41:39.000000,1867.0,143.0,683.0,5075,1467.0,Python Data. Leaflet.js Maps.,120.0,32,True,2021-01-06 16:59:13.000000,0.12.0,24.0,folium,conda-forge/folium,,,,8906.0,7938.0,https://pypi.org/project/folium,2021-01-06 19:37:18.000000,968.0,231207.0,236563.0,https://anaconda.org/conda-forge/folium,2021-01-06 21:06:10.173000,310703.0,,,,,1.0,,,,,,,,,,1.0,,,,,,,,,,\n63,Beam,apache/beam,,data-pipelines,https://github.com/apache/beam,https://github.com/apache/beam,Apache-2.0,2016-02-02 08:00:06.000000,2021-01-08 01:46:17.000000,2021-01-08 00:48:30.000000,2816.0,122.0,,4494,30154.0,\"Unified programming model to define and execute data processing pipelines, including ETL, batch and stream processing.\",989.0,32,True,2020-12-11 21:24:20.000000,2.26.0,29.0,apache-beam,,,,,186.0,,https://pypi.org/project/apache-beam,2020-12-11 19:58:03.000000,186.0,1694949.0,1694949.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n64,xmltodict,martinblech/xmltodict,,data-loading,https://github.com/martinblech/xmltodict,https://github.com/martinblech/xmltodict,MIT,2012-04-17 14:38:21.000000,2020-11-05 01:54:38.000000,2020-04-26 05:15:03.000000,395.0,63.0,134.0,4224,205.0,Python module that makes working with XML feel like you are working with JSON.,41.0,32,True,2019-02-11 07:00:26.000000,0.12.0,27.0,xmltodict,conda-forge/xmltodict,,,,28254.0,20020.0,https://pypi.org/project/xmltodict,2019-02-11 07:00:26.000000,8234.0,3972890.0,3984037.0,https://anaconda.org/conda-forge/xmltodict,2019-02-11 11:53:14.803000,590816.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n65,Tablib,jazzband/tablib,,data-loading,https://github.com/jazzband/tablib,https://github.com/jazzband/tablib,MIT,2011-03-28 02:36:50.000000,2020-12-13 06:03:08.000000,2020-12-11 07:22:54.000000,557.0,34.0,197.0,3831,1123.0,\"Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c.\",110.0,32,True,2020-12-05 14:56:28.000000,3.0.0,38.0,tablib,conda-forge/tablib,,,,11314.0,8956.0,https://pypi.org/project/tablib,2020-12-05 14:56:28.000000,2358.0,564278.0,565391.0,https://anaconda.org/conda-forge/tablib,2020-12-05 16:40:48.469000,55694.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n66,tensorflow-hub,tensorflow/hub,,tensorflow-utils,https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42.000000,2021-01-06 16:20:30.000000,2021-01-06 15:41:01.000000,1418.0,42.0,492.0,2671,816.0,A library for transfer learning by reusing parts of TensorFlow models.,66.0,32,True,2021-01-06 16:20:30.000000,0.11.0,14.0,tensorflow-hub,conda-forge/tensorflow-hub,,,['tensorflow'],5225.0,4911.0,https://pypi.org/project/tensorflow-hub,2021-01-06 16:20:30.000000,314.0,923369.0,924925.0,https://anaconda.org/conda-forge/tensorflow-hub,2020-08-24 16:43:36.561000,48244.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n67,TensorFlow Datasets,tensorflow/datasets,,data-loading,https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000000,2021-01-07 20:47:58.000000,2021-01-07 20:47:47.000000,900.0,380.0,514.0,2601,3670.0,\"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...\",178.0,32,True,2021-01-07 09:50:58.000000,4.2.0,21.0,tensorflow-datasets,,,,['tensorflow'],3390.0,3288.0,https://pypi.org/project/tensorflow-datasets,2021-01-07 09:50:58.000000,102.0,557537.0,557537.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n68,Thinc,explosion/thinc,,ml-frameworks,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59.000000,2021-01-05 02:39:31.000000,2021-01-05 02:39:30.000000,187.0,14.0,81.0,2142,4869.0,\"A refreshing functional take on deep learning, compatible with your favorite libraries.\",36.0,32,True,2020-12-11 09:45:43.000000,7.4.5,182.0,thinc,conda-forge/thinc,,,,11585.0,10447.0,https://pypi.org/project/thinc,2020-12-16 23:18:41.000000,1138.0,858522.0,876370.0,https://anaconda.org/conda-forge/thinc,2020-12-18 09:40:27.092000,838899.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n69,xarray,pydata/xarray,,data-containers,https://github.com/pydata/xarray,https://github.com/pydata/xarray,Apache-2.0,2013-09-30 17:21:10.000000,2021-01-08 00:34:57.000000,2021-01-07 23:28:47.000000,612.0,766.0,1865.0,1888,3465.0,N-D labeled arrays and datasets in Python.,288.0,32,True,2020-11-30 21:28:55.000000,0.16.2,55.0,xarray,conda-forge/xarray,,,,5935.0,4803.0,https://pypi.org/project/xarray,2020-11-30 21:26:20.000000,1132.0,275925.0,314241.0,https://anaconda.org/conda-forge/xarray,2020-12-01 04:59:09.242000,2222354.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n70,DeepSpeech,mozilla/DeepSpeech,,audio,https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53.000000,2021-01-07 16:42:04.000000,2021-01-03 09:56:24.000000,2971.0,85.0,1822.0,16243,3331.0,\"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..\",152.0,31,True,2020-12-10 17:22:09.000000,0.9.3,100.0,deepspeech,,,,['tensorflow'],406.0,377.0,https://pypi.org/project/deepspeech,2020-12-19 10:05:12.000000,29.0,13198.0,27219.0,,,,,,,,1.0,392608.0,,,,,,,,,,,,,,,,,,,\n71,fairseq,pytorch/fairseq,,nlp,https://github.com/pytorch/fairseq,https://github.com/pytorch/fairseq,MIT,2017-08-29 16:26:12.000000,2021-01-07 20:57:36.000000,2021-01-07 05:43:05.000000,2748.0,602.0,1741.0,10906,1701.0,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,283.0,31,True,2021-01-05 20:26:45.000000,0.10.2,13.0,fairseq,,,,['pytorch'],283.0,263.0,https://pypi.org/project/fairseq,2021-01-05 20:26:45.000000,20.0,8832.0,8833.0,,,,,,,,1.0,53.0,,,,,,,,,,,,,,,,,,,\n72,ChatterBot,gunthercox/ChatterBot,,nlp,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00.000000,2021-01-03 01:13:36.000000,2020-08-20 21:16:14.000000,3563.0,203.0,1218.0,10693,1847.0,\"ChatterBot is a machine learning, conversational dialog engine for creating chat bots.\",103.0,31,True,2020-08-22 18:42:43.000000,1.0.8,86.0,chatterbot,,,,,3709.0,3029.0,https://pypi.org/project/chatterbot,2020-08-22 18:40:36.000000,680.0,24557.0,24557.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n73,imgaug,aleju/imgaug,,image,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33.000000,2020-10-19 12:23:22.000000,2020-06-01 14:58:26.000000,1948.0,213.0,203.0,10510,2913.0,Image augmentation for machine learning experiments.,36.0,31,True,2020-02-06 06:18:40.000000,0.4.0,11.0,imgaug,conda-forge/imgaug,,,,5255.0,4977.0,https://pypi.org/project/imgaug,2020-02-05 20:54:22.000000,278.0,146776.0,148387.0,https://anaconda.org/conda-forge/imgaug,2020-02-14 16:06:53.525000,30609.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n74,pyecharts,pyecharts/pyecharts,,data-viz,https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000000,2020-12-23 04:48:43.000000,2020-12-23 04:48:42.000000,2309.0,23.0,1327.0,10332,1510.0,Python Echarts Plotting Library.,29.0,31,True,2020-10-29 15:14:08.000000,1.9.0,66.0,pyecharts,,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,['jupyter'],1694.0,1412.0,https://pypi.org/project/pyecharts,2020-10-29 15:14:08.000000,282.0,35606.0,35606.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n75,wordcloud,amueller/word_cloud,,data-viz,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59.000000,2020-12-30 05:21:08.000000,2020-11-11 21:35:51.000000,2001.0,91.0,343.0,7773,540.0,A little word cloud generator in Python.,58.0,31,True,2020-11-11 21:41:02.000000,1.8.1,16.0,wordcloud,conda-forge/wordcloud,,,,9381.0,8277.0,https://pypi.org/project/wordcloud,2020-11-11 21:41:02.000000,1104.0,237014.0,240411.0,https://anaconda.org/conda-forge/wordcloud,2020-11-16 19:55:57.630000,180072.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n76,Altair,altair-viz/altair,,data-viz,https://github.com/altair-viz/altair,https://github.com/altair-viz/altair,BSD-3-Clause,2015-09-19 03:14:04.000000,2020-12-23 17:19:53.000000,2020-12-23 17:19:52.000000,561.0,263.0,1198.0,6305,3044.0,Declarative statistical visualization library for Python.,121.0,31,True,2020-04-01 13:29:16.000000,4.1.0,26.0,altair,conda-forge/altair,,,,7490.0,7120.0,https://pypi.org/project/altair,2020-04-01 13:23:10.000000,370.0,664415.0,675039.0,https://anaconda.org/conda-forge/altair,2020-04-01 16:49:36.519000,573725.0,,,,,2.0,,,,,,,,,,6.0,,,,,,,,,,\n77,Catboost,catboost/catboost,,ml-frameworks,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000000,2021-01-08 02:06:00.000000,2021-01-08 02:05:55.000000,858.0,299.0,1027.0,5623,14146.0,\"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..\",711.0,31,True,2020-12-27 09:12:53.000000,0.24.4,91.0,catboost,conda-forge/catboost,,,,162.0,,https://pypi.org/project/catboost,2020-12-27 06:58:33.000000,162.0,778876.0,797157.0,https://anaconda.org/conda-forge/catboost,2020-12-29 11:38:06.128000,547570.0,,,,,2.0,46837.0,,,,,,,,,,,,,,,,,,,\n78,Chainer,chainer/chainer,,ml-frameworks,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37.000000,2020-12-23 09:08:21.000000,2020-12-23 09:08:19.000000,1371.0,16.0,2016.0,5513,30550.0,A flexible framework of neural networks for deep learning.,319.0,31,True,2020-07-30 09:01:53.000000,7.7.0,108.0,chainer,,,,,2526.0,1784.0,https://pypi.org/project/chainer,2020-07-30 09:01:53.000000,742.0,18990.0,18990.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n79,sentencepiece,google/sentencepiece,,nlp,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000000,2021-01-06 10:03:00.000000,2021-01-06 10:02:59.000000,605.0,30.0,375.0,4693,651.0,Unsupervised text tokenizer for Neural Network-based text generation.,47.0,31,True,2020-10-24 05:57:45.000000,0.1.94,29.0,sentencepiece,conda-forge/sentencepiece,,,,5378.0,5258.0,https://pypi.org/project/sentencepiece,2020-10-24 05:57:45.000000,120.0,1041534.0,1045440.0,https://anaconda.org/conda-forge/sentencepiece,2020-10-10 10:54:37.164000,21551.0,,,,,1.0,9149.0,,,,,,,,,,,,,,,,,,,\n80,Optuna,optuna/optuna,,hyperopt,https://github.com/optuna/optuna,https://github.com/optuna/optuna,MIT,2018-02-21 06:12:56.000000,2021-01-07 13:55:22.000000,2021-01-07 13:35:27.000000,441.0,178.0,456.0,3859,8656.0,A hyperparameter optimization framework.,120.0,31,True,2020-11-04 04:28:46.000000,2.3.0,33.0,optuna,conda-forge/optuna,,,,890.0,838.0,https://pypi.org/project/optuna,2020-11-04 04:29:39.000000,52.0,163770.0,164924.0,https://anaconda.org/conda-forge/optuna,2020-11-11 01:21:26.236000,16158.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n81,tensorflow-probability,tensorflow/probability,,probabilistics,https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000000,2021-01-07 22:54:30.000000,2021-01-07 22:53:45.000000,843.0,423.0,513.0,3193,10161.0,Probabilistic reasoning and statistical analysis in TensorFlow.,398.0,31,True,2020-12-29 18:40:25.000000,0.12.1,35.0,tensorflow-probability,conda-forge/tensorflow-probability,,,['tensorflow'],253.0,1.0,https://pypi.org/project/tensorflow-probability,2020-12-29 17:46:08.000000,252.0,312197.0,313445.0,https://anaconda.org/conda-forge/tensorflow-probability,2020-03-13 21:04:53.147000,28712.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n82,Elasticsearch DSL,elastic/elasticsearch-dsl-py,,db-clients,https://github.com/elastic/elasticsearch-dsl-py,https://github.com/elastic/elasticsearch-dsl-py,Apache-2.0,2014-03-05 16:19:39.000000,2021-01-04 09:01:51.000000,2020-12-08 20:53:06.000000,665.0,54.0,1094.0,3129,1007.0,High level Python client for Elasticsearch.,121.0,31,True,2020-09-17 13:45:33.000000,7.3.0,32.0,elasticsearch-dsl,,,,,5673.0,4117.0,https://pypi.org/project/elasticsearch-dsl,2020-09-17 13:41:36.000000,1556.0,935847.0,935852.0,,,,,,,,2.0,23.0,,,,,,,,,,,,,,,,,,,\n83,scikit-optimize,scikit-optimize/scikit-optimize,,hyperopt,https://github.com/scikit-optimize/scikit-optimize,https://github.com/scikit-optimize/scikit-optimize,BSD-3-Clause,2016-03-20 21:10:54.000000,2021-01-05 21:54:32.000000,2020-12-31 12:07:52.000000,366.0,161.0,353.0,1999,1541.0,Sequential model-based optimization with a `scipy.optimize` interface.,68.0,31,True,2020-09-04 09:08:10.000000,0.8.1,22.0,scikit-optimize,conda-forge/scikit-optimize,,,,1436.0,1276.0,https://pypi.org/project/scikit-optimize,2020-09-04 09:08:10.000000,160.0,494437.0,498733.0,https://anaconda.org/conda-forge/scikit-optimize,2020-09-04 09:50:52.372000,180454.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n84,Prometheus Client,prometheus/client_python,,db-clients,https://github.com/prometheus/client_python,https://github.com/prometheus/client_python,Apache-2.0,2015-02-10 22:47:25.000000,2021-01-05 10:30:40.000000,2021-01-01 21:28:28.000000,501.0,26.0,286.0,1965,409.0,Prometheus instrumentation library for Python applications.,97.0,31,True,2020-11-16 13:40:13.000000,0.9.0,33.0,prometheus_client,conda-forge/prometheus_client,,,,3738.0,,https://pypi.org/project/prometheus_client,2019-06-20 13:35:09.000000,3738.0,12706336.0,12749629.0,https://anaconda.org/conda-forge/prometheus_client,2020-11-16 16:13:46.080000,2207979.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n85,numexpr,pydata/numexpr,,data-containers,https://github.com/pydata/numexpr,https://github.com/pydata/numexpr,MIT,2013-11-30 22:33:48.000000,2021-01-04 20:06:08.000000,2021-01-04 20:06:02.000000,161.0,53.0,247.0,1505,677.0,\"Fast numerical array expression evaluator for Python, NumPy, PyTables, pandas, bcolz and more.\",55.0,31,True,2020-12-29 18:58:07.000000,2.7.2,38.0,numexpr,conda-forge/numexpr,,,,5482.0,,https://pypi.org/project/numexpr,2020-01-05 17:55:57.000000,5482.0,721235.0,759518.0,https://anaconda.org/conda-forge/numexpr,2020-12-30 15:44:31.934000,2029034.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n86,MNE,mne-tools/mne-python,,medical-data,https://github.com/mne-tools/mne-python,https://github.com/mne-tools/mne-python,BSD-3-Clause,2011-01-28 03:31:13.000000,2021-01-08 01:28:58.000000,2021-01-08 01:28:57.000000,836.0,298.0,3070.0,1471,15687.0,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,229.0,31,True,2020-12-17 15:32:54.000000,0.22.0,50.0,mne,conda-forge/mne,,,,966.0,768.0,https://pypi.org/project/mne,2020-12-17 15:32:54.000000,198.0,21413.0,23438.0,https://anaconda.org/conda-forge/mne,2020-12-20 21:44:36.472000,95188.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n87,influxdb,influxdata/influxdb-python,,db-clients,https://github.com/influxdata/influxdb-python,https://github.com/influxdata/influxdb-python,MIT,2013-11-05 19:27:16.000000,2020-12-31 19:10:02.000000,2020-12-31 19:10:01.000000,479.0,130.0,366.0,1445,962.0,Python client for InfluxDB.,134.0,31,True,2020-11-11 21:23:41.000000,5.3.1,54.0,influxdb,conda-forge/influxdb,,,,5941.0,3831.0,https://pypi.org/project/influxdb,2020-11-11 21:23:41.000000,2110.0,1045138.0,1046055.0,https://anaconda.org/conda-forge/influxdb,2020-11-12 02:29:15.949000,8254.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n88,Cassandra Driver,datastax/python-driver,,db-clients,https://github.com/datastax/python-driver,https://github.com/datastax/python-driver,Apache-2.0,2013-07-08 19:02:31.000000,2020-11-30 17:16:16.000000,2020-11-11 00:22:01.000000,446.0,13.0,,1208,5939.0,DataStax Python Driver for Apache Cassandra.,174.0,31,True,2020-06-18 14:44:49.000000,3.24.0,70.0,cassandra-driver,conda-forge/cassandra-driver,,,,3548.0,2362.0,https://pypi.org/project/cassandra-driver,2020-06-18 14:44:49.000000,1186.0,627013.0,628348.0,https://anaconda.org/conda-forge/cassandra-driver,2020-10-12 14:49:43.415000,60081.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n89,imageio,imageio/imageio,,image,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000000,2021-01-07 19:59:05.000000,2021-01-06 08:45:10.000000,162.0,61.0,270.0,819,1126.0,Python library for reading and writing image data.,70.0,31,True,2020-07-10 07:45:22.000000,2.9.0,31.0,imageio,conda-forge/imageio,,,,38291.0,34453.0,https://pypi.org/project/imageio,2020-07-06 13:20:41.000000,3838.0,1974939.0,2008103.0,https://anaconda.org/conda-forge/imageio,2020-07-06 14:13:25.518000,1591880.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n90,zipline,quantopian/zipline,,financial-data,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29.000000,2020-12-18 13:20:06.000000,2020-10-14 16:36:49.000000,3736.0,324.0,645.0,13055,6226.0,\"Zipline, a Pythonic Algorithmic Trading Library.\",151.0,30,True,2020-10-05 15:46:20.429000,1.4.1,30.0,zipline,,,,,823.0,665.0,https://pypi.org/project/zipline,2020-10-05 15:46:20.429000,158.0,4739.0,4739.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n91,Prophet,facebook/prophet,,time-series-data,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000000,2021-01-08 00:00:18.000000,2021-01-07 21:39:47.000000,3393.0,90.0,1423.0,12056,610.0,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,124.0,30,True,2020-09-05 16:12:50.000000,0.7.1,14.0,fbprophet,,,,,150.0,,https://pypi.org/project/fbprophet,2020-09-05 16:12:50.000000,150.0,622947.0,622958.0,,,,,,,,1.0,526.0,,,,,,,,,,,,,,,,,,,\n92,horovod,horovod/horovod,,distributed-ml,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000000,2021-01-08 00:28:41.000000,2021-01-06 22:10:13.000000,1683.0,254.0,1382.0,10666,841.0,\"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.\",110.0,30,True,2020-11-23 23:57:42.000000,0.21.0,62.0,horovod,,,,,346.0,306.0,https://pypi.org/project/horovod,2021-01-07 00:00:40.000000,40.0,115149.0,115149.0,,,,,,,,1.0,,,stable/horovod,,,,,,,,,,,,,,,,,\n93,flair,flairNLP/flair,,nlp,https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,MIT,2018-06-11 11:04:18.000000,2021-01-07 19:30:05.000000,2021-01-07 08:59:01.000000,1405.0,113.0,1316.0,9775,3024.0,A very simple framework for state-of-the-art Natural Language Processing (NLP).,159.0,30,True,2020-12-01 19:35:00.000000,0.7,19.0,flair,,,,['pytorch'],627.0,579.0,https://pypi.org/project/flair,2020-12-01 19:02:38.000000,48.0,39270.0,39270.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n94,TFlearn,tflearn/tflearn,,ml-frameworks,https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,MIT,2016-03-31 12:05:53.000000,2020-11-30 04:35:03.000000,2020-11-30 04:34:51.000000,2423.0,574.0,358.0,9499,613.0,Deep learning library featuring a higher-level API for TensorFlow.,128.0,30,True,2020-11-11 19:26:11.000000,0.5.0,8.0,tflearn,,,,['tensorflow'],3366.0,2885.0,https://pypi.org/project/tflearn,2020-11-11 19:13:47.000000,481.0,13007.0,13007.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n95,Vowpal Wabbit,VowpalWabbit/vowpal_wabbit,,ml-frameworks,https://github.com/VowpalWabbit/vowpal_wabbit,https://github.com/VowpalWabbit/vowpal_wabbit,BSD-3-Clause,2009-07-31 19:36:58.000000,2021-01-07 19:26:48.000000,2021-01-07 18:22:42.000000,1707.0,161.0,858.0,7385,8989.0,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,298.0,30,True,2020-11-12 14:41:09.000000,8.9.0,12.0,vowpalwabbit,,,,,103.0,87.0,https://pypi.org/project/vowpalwabbit,2020-11-12 14:41:09.000000,16.0,18305.0,18305.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n96,DVC,iterative/dvc,,ml-experiments,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000000,2021-01-07 22:33:35.000000,2021-01-07 13:55:34.000000,660.0,483.0,2129.0,7016,6202.0,Data Version Control | Git for Data & Models.,203.0,30,True,2021-01-05 12:37:00.000000,1.11.10,289.0,dvc,conda-forge/dvc,,,,565.0,519.0,https://pypi.org/project/dvc,2021-01-05 12:37:00.000000,46.0,50644.0,76231.0,https://anaconda.org/conda-forge/dvc,2021-01-05 15:36:19.374000,433605.0,,,,,1.0,16482.0,,,,,,,,,,dvc,dvc,dvc,,,,,,,\n97,Prefect,PrefectHQ/prefect,,data-pipelines,https://github.com/PrefectHQ/prefect,https://github.com/PrefectHQ/prefect,Apache-2.0,2018-06-29 21:59:26.000000,2021-01-08 02:41:18.000000,2021-01-08 02:41:16.000000,478.0,229.0,1284.0,5666,13026.0,The easiest way to automate your data.,170.0,30,True,2021-01-06 20:33:35.000000,0.14.2,79.0,prefect,conda-forge/prefect,,,,225.0,223.0,https://pypi.org/project/prefect,2021-01-06 20:34:01.000000,2.0,29654.0,32574.0,https://anaconda.org/conda-forge/prefect,2021-01-06 21:51:07.191000,64259.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n98,SpeechRecognition,Uberi/speech_recognition,,audio,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54.000000,2020-12-23 09:51:35.000000,2019-07-02 17:29:47.000000,1841.0,197.0,269.0,5337,360.0,\"Speech recognition module for Python, supporting several engines and APIs, online and offline.\",41.0,30,False,2017-12-05 14:05:14.000000,3.8.1,52.0,SpeechRecognition,conda-forge/speechrecognition,,,,7461.0,6373.0,https://pypi.org/project/SpeechRecognition,2017-12-05 13:58:29.000000,1088.0,117905.0,119663.0,https://anaconda.org/conda-forge/speechrecognition,2020-10-10 22:21:01.100000,93177.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n99,Hyperopt,hyperopt/hyperopt,,hyperopt,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59.000000,2020-12-30 19:02:44.000000,2020-12-24 07:20:10.000000,841.0,328.0,219.0,5319,1168.0,Distributed Asynchronous Hyperparameter Optimization in Python.,84.0,30,True,2020-10-07 09:52:56.000000,0.2.5,11.0,hyperopt,conda-forge/hyperopt,,,,2966.0,2462.0,https://pypi.org/project/hyperopt,2020-10-07 09:52:56.000000,504.0,415242.0,420660.0,https://anaconda.org/conda-forge/hyperopt,2020-10-14 07:57:14.292000,151706.0,,,,,1.0,,,,,,,,,,-1.0,,,,,,,,,,\n100,imbalanced-learn,scikit-learn-contrib/imbalanced-learn,,others,https://github.com/scikit-learn-contrib/imbalanced-learn,https://github.com/scikit-learn-contrib/imbalanced-learn,MIT,2014-08-16 05:08:26.000000,2020-12-23 12:15:04.000000,2020-11-03 21:43:11.000000,1024.0,47.0,401.0,4941,701.0,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,51.0,30,True,2020-06-09 10:45:32.000000,0.7.0,26.0,imbalanced-learn,conda-forge/imbalanced-learn,,,['sklearn'],4015.0,3735.0,https://pypi.org/project/imbalanced-learn,2020-06-09 10:39:03.000000,280.0,775402.0,778075.0,https://anaconda.org/conda-forge/imbalanced-learn,2020-06-14 14:47:57.352000,104250.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n101,CuPy,cupy/cupy,,gpu-utilities,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000000,2021-01-07 15:25:26.000000,2021-01-07 12:31:37.000000,430.0,366.0,859.0,4765,20291.0,A NumPy-compatible array library accelerated by CUDA.,253.0,30,True,2020-12-25 05:33:27.000000,8.3.0,85.0,cupy,conda-forge/cupy,cupy/cupy,,,823.0,631.0,https://pypi.org/project/cupy,2020-12-25 03:21:57.000000,192.0,8140.0,31204.0,https://anaconda.org/conda-forge/cupy,2020-12-30 14:18:34.736000,330097.0,https://hub.docker.com/r/cupy/cupy,2021-01-07 12:36:33.646308,6.0,47635.0,1.0,4999.0,,,,,,,,,,,,,,,,,,,\n102,Tesseract,madmaze/pytesseract,,ocr,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000000,2021-01-04 17:26:55.000000,2021-01-04 17:26:51.000000,503.0,7.0,238.0,3354,357.0,Python-tesseract is an optical character recognition (OCR) tool for python.,36.0,30,True,2020-12-15 05:24:52.000000,0.3.7,24.0,pytesseract,conda-forge/pytesseract,,,,1428.0,,https://pypi.org/project/pytesseract,2020-12-15 05:24:52.000000,1428.0,458077.0,460155.0,https://anaconda.org/conda-forge/pytesseract,2020-11-20 10:05:14.874000,37418.0,,,,,1.0,,,,,,,,,,1.0,,,,,,,,,,\n103,MLxtend,rasbt/mlxtend,,others,https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16.000000,2021-01-01 17:07:51.000000,2021-01-01 17:07:47.000000,683.0,99.0,260.0,3272,1145.0,A library of extension and helper modules for Python's data analysis and machine learning libraries.,79.0,30,True,2020-11-26 04:18:15.000000,0.18.0,46.0,mlxtend,conda-forge/mlxtend,,,['sklearn'],2412.0,2317.0,https://pypi.org/project/mlxtend,2020-11-26 04:18:15.000000,95.0,215537.0,219063.0,https://anaconda.org/conda-forge/mlxtend,2020-11-26 05:32:00.667000,148122.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n104,bqplot,bqplot/bqplot,,data-viz,https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18.000000,2021-01-07 18:31:07.000000,2021-01-07 16:01:57.000000,403.0,187.0,313.0,2977,3204.0,Plotting library for IPython/Jupyter notebooks.,51.0,30,True,2020-11-05 14:39:24.000000,0.12.19,87.0,bqplot,conda-forge/bqplot,,,['jupyter'],1272.0,1150.0,https://pypi.org/project/bqplot,2020-11-05 14:39:24.000000,112.0,12117.0,139418.0,https://anaconda.org/conda-forge/bqplot,2020-10-12 22:00:13.153000,449311.0,,,,,2.0,,,,bqplot,https://www.npmjs.com/package/bqplot,2020-10-12 19:58:11.526000,10.0,119278.0,,,,,,,,,,,,\n105,torchtext,pytorch/text,,nlp,https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000000,2021-01-08 01:17:47.000000,2020-12-29 20:05:59.000000,584.0,261.0,311.0,2609,697.0,Data loaders and abstractions for text and NLP.,102.0,30,True,2020-12-10 17:03:55.000000,0.8.1,12.0,torchtext,,,,['pytorch'],4170.0,3488.0,https://pypi.org/project/torchtext,2020-12-10 16:28:00.000000,682.0,83825.0,83825.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n106,mrjob,Yelp/mrjob,,data-pipelines,https://github.com/Yelp/mrjob,https://github.com/Yelp/mrjob,Apache-2.0,2010-10-13 18:35:21.000000,2020-12-24 22:44:29.424000,2020-11-16 22:20:52.000000,590.0,199.0,1089.0,2525,8622.0,Run MapReduce jobs on Hadoop or Amazon Web Services.,142.0,30,True,2020-09-17 22:26:01.000000,0.7.4,60.0,mrjob,conda-forge/mrjob,,,,758.0,646.0,https://pypi.org/project/mrjob,2020-09-17 22:26:01.000000,112.0,108747.0,114642.0,https://anaconda.org/conda-forge/mrjob,2020-12-24 22:44:29.424000,306540.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n107,GeoPandas,geopandas/geopandas,,geospatial-data,https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000000,2021-01-06 19:00:24.000000,2021-01-05 09:03:13.000000,528.0,294.0,657.0,2423,1310.0,Python tools for geographic data.,129.0,30,True,2020-07-15 17:59:00.000000,0.8.1,34.0,geopandas,conda-forge/geopandas,,,['pandas'],7939.0,6773.0,https://pypi.org/project/geopandas,2020-06-24 13:38:40.000000,1166.0,397545.0,411365.0,https://anaconda.org/conda-forge/geopandas,2020-07-16 18:56:42.068000,800720.0,,,,,2.0,839.0,,,,,,,,,,,,,,,,,,,\n108,pyodbc,mkleehammer/pyodbc,,db-clients,https://github.com/mkleehammer/pyodbc,https://github.com/mkleehammer/pyodbc,MIT,2008-10-03 15:19:37.000000,2020-11-26 00:31:04.000000,2020-10-26 13:28:37.000000,407.0,215.0,510.0,1958,347.0,Python ODBC bridge.,36.0,30,True,2020-02-08 18:09:57.000000,4.0.30,48.0,pyodbc,conda-forge/pyodbc,,,,3262.0,,https://pypi.org/project/pyodbc,2020-02-10 15:43:28.000000,3262.0,4083520.0,4093236.0,https://anaconda.org/conda-forge/pyodbc,2020-10-10 10:56:30.285000,398387.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n109,smart-open,RaRe-Technologies/smart_open,,data-loading,https://github.com/RaRe-Technologies/smart_open,https://github.com/RaRe-Technologies/smart_open,MIT,2015-01-02 13:05:52.000000,2021-01-08 01:41:40.000000,2020-12-31 03:15:01.000000,266.0,69.0,233.0,1879,846.0,\"Utils for streaming large files (S3, HDFS, gzip, bz2...).\",70.0,30,True,2020-12-30 07:19:09.000000,4.1.0,45.0,smart-open,,,,,640.0,,https://pypi.org/project/smart-open,2020-12-30 07:17:50.000000,640.0,8059919.0,8059919.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n110,mysqlclient,PyMySQL/mysqlclient,,db-clients,https://github.com/PyMySQL/mysqlclient,https://github.com/PyMySQL/mysqlclient,GPL-2.0,2014-04-28 05:09:06.000000,2021-01-04 18:11:27.841000,2021-01-01 11:46:52.000000,307.0,5.0,245.0,1850,981.0,MySQL database connector for Python (with Python 3 support).,64.0,30,False,2021-01-01 13:12:02.000000,2.0.3,31.0,mysqlclient,conda-forge/mysqlclient,,,,13536.0,,https://pypi.org/project/mysqlclient,2021-01-01 13:12:02.000000,13536.0,1693213.0,1695452.0,https://anaconda.org/conda-forge/mysqlclient,2021-01-04 18:11:27.841000,57802.0,,,,,2.0,5161.0,,,,,,,,,,,,,,,,,,,\n111,python-magic,ahupp/python-magic,,data-loading,https://github.com/ahupp/python-magic,https://github.com/ahupp/python-magic,MIT,2010-03-31 22:40:33.000000,2020-12-24 22:42:00.639000,2020-12-11 19:57:07.000000,212.0,28.0,125.0,1803,244.0,A python wrapper for libmagic.,47.0,30,True,2020-05-06 02:30:25.000000,0.4.18,18.0,python-magic,conda-forge/python-magic,,,,16424.0,11292.0,https://pypi.org/project/python-magic,2020-05-06 02:30:25.000000,5132.0,1420653.0,1422287.0,https://anaconda.org/conda-forge/python-magic,2020-12-24 22:42:00.639000,73556.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n112,opencv-python,skvark/opencv-python,,image,https://github.com/skvark/opencv-python,https://github.com/skvark/opencv-python,MIT,2016-04-08 13:36:40.000000,2021-01-03 16:32:34.000000,2020-12-28 18:40:12.000000,306.0,18.0,364.0,1669,749.0,\"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..\",27.0,30,True,2021-01-03 17:36:16.000000,47,47.0,opencv-python,,,,,12560.0,,https://pypi.org/project/opencv-python,2021-01-02 12:15:05.000000,12560.0,2267878.0,2267878.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n113,Motor,mongodb/motor,,db-clients,https://github.com/mongodb/motor,https://github.com/mongodb/motor,Apache-2.0,2013-01-11 21:34:44.000000,2020-12-08 14:16:53.000000,2020-09-24 23:47:34.000000,140.0,1.0,,1620,1609.0,Motor - the async Python driver for MongoDB and Tornado or asyncio.,28.0,30,True,2020-09-24 23:26:10.000000,2.3.0,34.0,motor,conda-forge/motor,,,,5221.0,3431.0,https://pypi.org/project/motor,2020-09-24 23:19:56.000000,1790.0,128351.0,128760.0,https://anaconda.org/conda-forge/motor,2020-11-20 20:00:39.143000,10230.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n114,Rasterio,mapbox/rasterio,,geospatial-data,https://github.com/mapbox/rasterio,https://github.com/mapbox/rasterio,BSD-3-Clause,2013-11-04 16:36:27.000000,2021-01-07 17:10:43.000000,2021-01-07 17:10:42.000000,387.0,135.0,1183.0,1404,3240.0,Rasterio reads and writes geospatial raster datasets.,110.0,30,True,2020-10-21 01:56:29.000000,1.1.8,117.0,rasterio,conda-forge/rasterio,,,,3411.0,2561.0,https://pypi.org/project/rasterio,2020-12-13 18:35:39.000000,850.0,135245.0,149613.0,https://anaconda.org/conda-forge/rasterio,2020-10-30 14:13:05.008000,832769.0,,,,,2.0,702.0,,,,,,,,,,,,,,,,,,,\n115,SageMaker SDK,aws/sagemaker-python-sdk,,ml-experiments,https://github.com/aws/sagemaker-python-sdk,https://github.com/aws/sagemaker-python-sdk,Apache-2.0,2017-11-14 01:03:33.000000,2021-01-08 01:32:10.000000,2021-01-07 21:16:01.000000,556.0,200.0,517.0,1285,1792.0,A library for training and deploying machine learning models on Amazon SageMaker.,163.0,30,True,2021-01-06 22:16:21.000000,2.23.2,298.0,sagemaker,,,,\"['mxnet', 'tensorflow']\",573.0,545.0,https://pypi.org/project/sagemaker,2021-01-06 22:17:57.000000,28.0,428154.0,428154.0,,,,,,,,1.0,,,,,,,,,,-1.0,,,,,,,,,,\n116,TF Addons,tensorflow/addons,,tensorflow-utils,https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17.000000,2021-01-07 19:34:06.000000,2021-01-07 19:34:04.000000,390.0,157.0,611.0,1147,1314.0,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,144.0,30,True,2020-12-23 19:42:08.000000,0.12.0,24.0,tensorflow-addons,,,,['tensorflow'],1932.0,1914.0,https://pypi.org/project/tensorflow-addons,2020-12-23 19:42:08.000000,18.0,269475.0,269475.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n117,Wand,emcconville/wand,,image,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000000,2020-12-08 02:05:17.000000,2020-12-08 02:05:10.000000,183.0,13.0,319.0,1043,1678.0,The ctypes-based simple ImageMagick binding for Python.,94.0,30,True,2020-11-29 20:47:13.000000,0.6.5,47.0,wand,,,,,4184.0,3014.0,https://pypi.org/project/wand,2020-11-29 20:40:49.000000,1170.0,118520.0,118719.0,,,,,,,,2.0,5199.0,,,,,,,,,,,,,,,,,,,\n118,Fiona,Toblerity/Fiona,,geospatial-data,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00.000000,2021-01-07 15:56:41.000000,2020-11-30 07:11:40.000000,165.0,69.0,546.0,767,1093.0,Fiona reads and writes geographic data files.,65.0,30,True,2020-11-17 18:32:17.000000,1.8.18,96.0,fiona,conda-forge/fiona,,,,5944.0,4756.0,https://pypi.org/project/fiona,2020-11-17 18:32:17.000000,1188.0,462281.0,490306.0,https://anaconda.org/conda-forge/fiona,2020-11-17 20:48:12.542000,1625504.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n119,Nilearn,nilearn/nilearn,,medical-data,https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000000,2021-01-07 16:07:52.000000,2021-01-05 21:20:20.000000,371.0,378.0,1061.0,691,9281.0,Machine learning for NeuroImaging in Python.,158.0,30,True,2020-11-12 11:44:49.000000,0.7.0,35.0,nilearn,conda-forge/nilearn,,,['sklearn'],1139.0,837.0,https://pypi.org/project/nilearn,2020-11-12 11:44:49.000000,302.0,9630.0,10973.0,https://anaconda.org/conda-forge/nilearn,2020-11-12 13:26:03.600000,75226.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n120,Face Recognition,ageitgey/face_recognition,,image,https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39.000000,2020-12-19 11:44:26.000000,2020-09-26 15:32:59.000000,10510.0,557.0,526.0,38038,211.0,The world's simplest facial recognition api for Python and the command line.,45.0,29,True,2018-08-21 18:34:21.000000,1.2.3,21.0,face_recognition,,,,['pytorch'],406.0,,https://pypi.org/project/face_recognition,2018-08-21 18:34:21.000000,406.0,30784.0,30793.0,,,,,,,,2.0,437.0,,,,,,,,,,,,,,,,,,,\n121,fastText,facebookresearch/fastText,,nlp,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000000,2020-10-31 15:50:36.000000,2020-07-18 00:20:40.000000,4198.0,400.0,590.0,22092,379.0,Library for fast text representation and classification.,58.0,29,True,2020-04-28 09:54:50.000000,0.9.2,35.0,fasttext,conda-forge/fasttext,,,,1599.0,1409.0,https://pypi.org/project/fasttext,2020-04-28 09:54:50.000000,190.0,109815.0,110251.0,https://anaconda.org/conda-forge/fasttext,2020-10-12 14:55:45.199000,17040.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n122,Magenta,magenta/magenta,,audio,https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40.000000,2021-01-07 00:44:22.000000,2021-01-07 00:44:15.000000,3297.0,293.0,536.0,16151,1372.0,Magenta: Music and Art Generation with Machine Intelligence.,143.0,29,True,2020-11-12 19:17:18.000000,2.1.3,66.0,magenta,,,,['tensorflow'],294.0,259.0,https://pypi.org/project/magenta,2020-11-12 19:17:18.000000,35.0,5047.0,5047.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n123,PaddlePaddle,PaddlePaddle/Paddle,,ml-frameworks,https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000000,2021-01-08 02:12:06.000000,2021-01-08 02:12:05.000000,3387.0,2386.0,10192.0,13754,15069.0,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,488.0,29,True,2020-12-18 09:06:54.000000,2.0.0-rc1,41.0,paddlepaddle,,,,['paddle'],41.0,25.0,https://pypi.org/project/paddlepaddle,2020-12-14 08:03:41.000000,16.0,7138.0,7425.0,,,,,,,,3.0,15245.0,,,,,,,,,-1.0,,,,,,,,,,\n124,Turi Create,apple/turicreate,,ml-frameworks,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04.000000,2020-11-18 17:14:31.000000,2020-10-13 23:52:18.000000,1057.0,465.0,1241.0,10078,1565.0,Turi Create simplifies the development of custom machine learning models.,81.0,29,True,2020-09-30 22:51:40.000000,6.4.1,31.0,turicreate,,,,,252.0,218.0,https://pypi.org/project/turicreate,2020-09-30 22:51:40.000000,34.0,12131.0,12226.0,,,,,,,,3.0,3531.0,,,,,,,,,,,,,,,,,,,\n125,AllenNLP,allenai/allennlp,,nlp,https://github.com/allenai/allennlp,https://github.com/allenai/allennlp,Apache-2.0,2017-05-15 15:52:41.000000,2021-01-08 01:26:32.000000,2021-01-07 16:10:51.000000,1979.0,106.0,2121.0,9543,,\"An open-source NLP research library, built on PyTorch.\",231.0,29,True,2020-12-15 22:10:16.000000,1.3.0,154.0,allennlp,,,,['pytorch'],1595.0,1361.0,https://pypi.org/project/allennlp,2020-11-17 18:37:28.000000,234.0,17950.0,17950.0,,,,,,,,2.0,36.0,,,,,,,,,,,,,,,,,,,\n126,Lime,marcotcr/lime,,interpretability,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10.000000,2020-12-18 17:16:38.000000,2020-12-18 17:16:31.000000,1349.0,37.0,435.0,8300,504.0,Lime: Explaining the predictions of any machine learning classifier.,56.0,29,True,2020-04-03 22:05:03.000000,0.2.0.0,37.0,lime,conda-forge/lime,,,,1102.0,974.0,https://pypi.org/project/lime,2020-04-03 22:04:32.000000,128.0,174357.0,175611.0,https://anaconda.org/conda-forge/lime,2020-06-28 01:02:41.538000,61484.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n127,Annoy,spotify/annoy,,nn-search,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40.000000,2020-12-25 08:13:07.000000,2020-12-03 18:21:18.000000,859.0,26.0,265.0,7999,785.0,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,68.0,29,True,2020-09-18 16:07:59.000000,1.17.0,43.0,annoy,,,,,1747.0,1387.0,https://pypi.org/project/annoy,2020-09-18 16:07:59.000000,360.0,223341.0,223341.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n128,fuzzywuzzy,seatgeek/fuzzywuzzy,,nlp,https://github.com/seatgeek/fuzzywuzzy,https://github.com/seatgeek/fuzzywuzzy,GPL-2.0,2011-07-08 19:32:34.000000,2020-12-19 18:34:54.000000,2020-02-13 22:13:43.000000,792.0,84.0,95.0,7737,379.0,Fuzzy String Matching in Python.,67.0,29,False,2020-02-13 22:14:12.000000,0.18.0,27.0,fuzzywuzzy,conda-forge/fuzzywuzzy,,,,10756.0,7550.0,https://pypi.org/project/fuzzywuzzy,2020-02-13 21:06:25.000000,3206.0,2839306.0,2844386.0,https://anaconda.org/conda-forge/fuzzywuzzy,2020-11-18 12:59:01.409000,274334.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n129,TPOT,EpistasisLab/tpot,,hyperopt,https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40.000000,2021-01-07 22:39:18.000000,2021-01-06 15:17:46.000000,1347.0,186.0,581.0,7727,2368.0,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,108.0,29,False,2021-01-06 15:19:33.000000,0.11.7,60.0,tpot,conda-forge/tpot,,,['sklearn'],853.0,773.0,https://pypi.org/project/tpot,2021-01-06 15:20:08.000000,80.0,69154.0,71078.0,https://anaconda.org/conda-forge/tpot,2020-12-14 22:49:13.925000,100084.0,,,,,1.0,,,,,,,,,,1.0,,,,,,,,,,\n130,TextBlob,sloria/TextBlob,,nlp,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18.000000,2021-01-04 13:24:38.000000,2021-01-04 13:23:27.000000,945.0,69.0,150.0,7480,535.0,\"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..\",33.0,29,True,2019-02-24 23:03:17.000000,0.15.3,55.0,textblob,conda-forge/textblob,,,,12182.0,9690.0,https://pypi.org/project/textblob,2019-02-24 23:03:17.000000,2492.0,259255.0,261294.0,https://anaconda.org/conda-forge/textblob,2019-02-24 23:32:55.233000,108034.0,,,,,2.0,88.0,,,,,,,,,,,,,,,,,,,\n131,MoviePy,Zulko/moviepy,,image,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000000,2021-01-05 05:28:50.000000,2020-11-25 17:36:42.000000,1021.0,337.0,629.0,7196,938.0,Video editing with Python.,132.0,29,True,2020-05-07 16:29:35.000000,1.0.3,84.0,moviepy,conda-forge/moviepy,,,,6726.0,5596.0,https://pypi.org/project/moviepy,2020-10-05 00:26:29.000000,1130.0,126487.0,128178.0,https://anaconda.org/conda-forge/moviepy,2020-02-23 19:57:49.975000,71032.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n132,glfw,glfw/glfw,,image,https://github.com/glfw/glfw,https://github.com/glfw/glfw,Zlib,2013-04-18 15:24:53.000000,2021-01-06 04:42:55.000000,2020-12-14 11:27:57.000000,2606.0,424.0,985.0,7092,4200.0,\"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.\",164.0,29,False,2020-10-04 13:37:52.000000,2.0.0,37.0,glfw,conda-forge/glfw,,,,214.0,,https://pypi.org/project/glfw,2020-10-04 13:37:52.000000,214.0,13250.0,45000.0,https://anaconda.org/conda-forge/glfw,2020-03-20 11:09:31.058000,21161.0,,,,,2.0,2158128.0,,,,,,,,,,,,,,,,,,,\n133,Albumentations,albumentations-team/albumentations,,image,https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000000,2021-01-03 07:22:35.000000,2020-12-30 16:36:51.000000,899.0,170.0,231.0,7001,614.0,Fast image augmentation library and easy to use wrapper around other libraries. Documentation:..,72.0,29,True,2020-11-29 14:30:07.000000,0.5.2,44.0,albumentations,conda-forge/albumentations,,,['pytorch'],2576.0,2448.0,https://pypi.org/project/albumentations,2020-11-29 14:30:07.000000,128.0,62123.0,62843.0,https://anaconda.org/conda-forge/albumentations,2020-11-29 15:51:47.610000,13695.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n134,pandas-profiling,pandas-profiling/pandas-profiling,,data-viz,https://github.com/pandas-profiling/pandas-profiling,https://github.com/pandas-profiling/pandas-profiling,MIT,2016-01-09 23:47:55.000000,2021-01-07 12:35:17.000000,2021-01-05 18:45:03.000000,971.0,51.0,356.0,6540,736.0,Create HTML profiling reports from pandas DataFrame objects.,64.0,29,True,2020-09-03 10:11:24.000000,2.9.0,25.0,pandas-profiling,conda-forge/pandas-profiling,,,\"['jupyter', 'pandas']\",2951.0,2791.0,https://pypi.org/project/pandas-profiling,2020-09-03 10:11:24.000000,160.0,213550.0,215342.0,https://anaconda.org/conda-forge/pandas-profiling,2020-09-03 13:03:52.072000,94995.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n135,Datasets,huggingface/datasets,,data-loading,https://github.com/huggingface/datasets,https://github.com/huggingface/datasets,Apache-2.0,2020-03-26 09:23:22.000000,2021-01-07 18:30:31.000000,2021-01-07 14:43:28.000000,651.0,185.0,305.0,6315,1214.0,\"The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools.\",199.0,29,True,2021-01-04 18:38:01.000000,1.2.0,12.0,datasets,,,,,266.0,248.0,https://pypi.org/project/datasets,2021-01-04 18:33:23.000000,18.0,22714.0,22714.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n136,tensorpack,tensorpack/tensorpack,,ml-frameworks,https://github.com/tensorpack/tensorpack,https://github.com/tensorpack/tensorpack,Apache-2.0,2015-12-25 23:08:44.000000,2020-12-24 00:24:32.000000,2020-11-01 03:52:10.000000,1724.0,11.0,1293.0,5879,2921.0,\"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.\",55.0,29,True,2020-04-24 19:01:06.000000,0.10.1,36.0,tensorpack,,,,['tensorflow'],729.0,653.0,https://pypi.org/project/tensorpack,2020-04-24 19:01:06.000000,76.0,89416.0,89418.0,,,,,,,,3.0,96.0,,,,,,,,,,,,,,,,,,,\n137,Modin,modin-project/modin,,data-containers,https://github.com/modin-project/modin,https://github.com/modin-project/modin,Apache-2.0,2018-06-21 21:35:05.000000,2021-01-07 17:31:44.000000,2021-01-05 23:29:51.000000,376.0,396.0,1048.0,5583,1217.0,Modin: Speed up your Pandas workflows by changing a single line of code.,65.0,29,True,2020-12-23 09:46:05.000000,0.8.3,35.0,modin,,,,['pandas'],287.0,278.0,https://pypi.org/project/modin,2020-11-10 02:44:02.000000,9.0,72148.0,78651.0,,,,,,,,2.0,195091.0,,,,,,,,,,,,,,,,,,,\n138,Autograd,HIPS/autograd,,others,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23.000000,2020-12-28 18:04:28.000000,2019-11-18 14:32:40.000000,712.0,161.0,216.0,5078,1375.0,Efficiently computes derivatives of numpy code.,51.0,29,False,2017-08-24 17:00:41.000000,1.1.13,24.0,autograd,conda-forge/autograd,,,,1715.0,1371.0,https://pypi.org/project/autograd,2019-07-25 16:21:07.000000,344.0,372658.0,375486.0,https://anaconda.org/conda-forge/autograd,2019-07-25 18:29:55.493000,149925.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n139,Pydub,jiaaro/pydub,,audio,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38.000000,2020-12-14 17:09:25.000000,2020-12-14 17:09:24.000000,670.0,164.0,232.0,5023,722.0,Manipulate audio with a simple and easy high level interface.,79.0,29,True,2020-06-03 15:23:56.000000,0.24.1,66.0,pydub,conda-forge/pydub,,,,6887.0,5533.0,https://pypi.org/project/pydub,2020-06-03 15:23:56.000000,1354.0,123575.0,124055.0,https://anaconda.org/conda-forge/pydub,2019-02-02 16:23:09.348000,12010.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n140,TinyDB,msiemens/tinydb,,data-containers,https://github.com/msiemens/tinydb,https://github.com/msiemens/tinydb,MIT,2013-07-12 23:31:13.000000,2021-01-04 09:54:25.000000,2021-01-04 09:54:20.000000,354.0,14.0,238.0,3931,603.0,TinyDB is a lightweight document oriented database optimized for your happiness :).,62.0,29,True,2020-11-14 21:02:31.000000,4.3.0,58.0,tinydb,conda-forge/tinydb,,,,1118.0,,https://pypi.org/project/tinydb,2020-11-14 21:02:29.000000,1118.0,130493.0,132275.0,https://anaconda.org/conda-forge/tinydb,2020-11-14 22:52:17.151000,98059.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n141,yfinance,ranaroussi/yfinance,,financial-data,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000000,2021-01-01 08:04:57.000000,2020-09-25 12:47:40.000000,984.0,298.0,168.0,3817,243.0,Yahoo! Finance market data downloader (+faster Pandas Datareader).,25.0,29,True,2020-10-05 12:19:44.000000,0.1.55,20.0,yfinance,ranaroussi/yfinance,,,,2535.0,2509.0,https://pypi.org/project/yfinance,2020-10-05 12:19:44.000000,26.0,105393.0,107127.0,https://anaconda.org/ranaroussi/yfinance,2019-12-27 21:30:44.606000,29484.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n142,kaggle,Kaggle/kaggle-api,,ml-experiments,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000000,2020-12-03 05:16:08.000000,2020-11-30 21:43:14.000000,760.0,161.0,106.0,3758,137.0,Official Kaggle API.,35.0,29,True,2020-11-30 13:37:18.000000,1.5.10,47.0,kaggle,conda-forge/kaggle,,,,4765.0,4201.0,https://pypi.org/project/kaggle,2020-11-30 13:37:18.000000,564.0,299761.0,301727.0,https://anaconda.org/conda-forge/kaggle,2020-11-30 16:56:31.822000,39329.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n143,sacred,IDSIA/sacred,,ml-experiments,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29.000000,2021-01-07 12:37:48.000000,2020-12-15 10:47:54.000000,314.0,92.0,392.0,3250,1297.0,\"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.\",90.0,29,True,2020-12-14 15:21:05.000000,0.8.2,27.0,sacred,,,,,918.0,764.0,https://pypi.org/project/sacred,2020-12-14 15:21:05.000000,154.0,11704.0,11704.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n144,Koalas,databricks/koalas,,data-containers,https://github.com/databricks/koalas,https://github.com/databricks/koalas,Apache-2.0,2019-01-03 21:46:54.000000,2021-01-08 02:23:36.000000,2021-01-07 02:37:38.000000,292.0,84.0,421.0,2568,1427.0,Koalas: pandas API on Apache Spark.,47.0,29,True,2020-12-11 21:10:40.000000,1.5.0,42.0,koalas,conda-forge/koalas,,,\"['spark', 'pandas']\",70.0,69.0,https://pypi.org/project/koalas,2020-12-11 21:10:40.000000,1.0,873289.0,877032.0,https://anaconda.org/conda-forge/koalas,2020-12-11 23:19:38.184000,73972.0,,,,,2.0,996.0,,,,,,,,,,,,,,,,,,,\n145,PyQtGraph,pyqtgraph/pyqtgraph,,data-viz,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21.000000,2021-01-06 22:54:35.000000,2021-01-06 22:54:33.000000,793.0,284.0,436.0,2257,2313.0,Fast data visualization and GUI tools for scientific / engineering applications.,179.0,29,True,2020-12-20 02:41:29.000000,pyqtgraph-0.11.1,12.0,pyqtgraph,conda-forge/pyqtgraph,,,,890.0,,https://pypi.org/project/pyqtgraph,2020-12-20 02:43:22.000000,890.0,28232.0,31498.0,https://anaconda.org/conda-forge/pyqtgraph,2020-12-20 05:06:42.442000,156814.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n146,confluent-kafka-python,confluentinc/confluent-kafka-python,,db-clients,https://github.com/confluentinc/confluent-kafka-python,https://github.com/confluentinc/confluent-kafka-python,Apache-2.0,2016-04-14 07:40:41.000000,2021-01-07 20:51:32.000000,2020-11-24 15:38:23.000000,551.0,230.0,471.0,2094,628.0,Confluent's Kafka Python Client.,66.0,29,True,2020-07-22 08:23:51.000000,1.5.0,20.0,confluent-kafka,,,,,2268.0,1966.0,https://pypi.org/project/confluent-kafka,2020-07-22 07:50:57.000000,302.0,997944.0,997944.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n147,ipyparallel,ipython/ipyparallel,,distributed-ml,https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,BSD-3-Clause,2015-04-09 07:43:55.000000,2020-12-28 21:43:25.000000,2020-08-24 09:09:27.000000,724.0,139.0,107.0,1846,1817.0,Interactive Parallel Computing in Python.,94.0,29,True,2020-05-05 18:42:38.000000,6.3.0,21.0,ipyparallel,conda-forge/ipyparallel,,,['jupyter'],1846.0,1356.0,https://pypi.org/project/ipyparallel,2020-05-05 18:42:38.000000,490.0,71656.0,77988.0,https://anaconda.org/conda-forge/ipyparallel,2020-12-14 23:13:00.768000,360965.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n148,pandas-datareader,pydata/pandas-datareader,,data-loading,https://github.com/pydata/pandas-datareader,https://github.com/pydata/pandas-datareader,BSD-3-Clause,2015-01-15 00:34:19.000000,2021-01-06 09:00:01.000000,2020-12-31 11:58:23.000000,489.0,70.0,368.0,1779,764.0,Extract data from a wide range of Internet sources into a pandas DataFrame.,77.0,29,True,2020-07-10 10:04:14.000000,0.9.0,21.0,pandas-datareader,conda-forge/pandas-datareader,,,['pandas'],8737.0,7331.0,https://pypi.org/project/pandas-datareader,2020-07-10 10:04:14.000000,1406.0,120699.0,122577.0,https://anaconda.org/conda-forge/pandas-datareader,2019-11-20 10:38:42.074000,84546.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n149,HoloViews,holoviz/holoviews,,data-viz,https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000000,2021-01-03 12:37:20.000000,2020-12-31 13:30:39.000000,299.0,674.0,1814.0,1777,10110.0,\"With Holoviews, your data visualizes itself.\",100.0,29,True,2020-12-27 23:53:28.000000,1.14.1,60.0,holoviews,conda-forge/holoviews,,,['jupyter'],170.0,,https://pypi.org/project/holoviews,2020-12-27 23:53:28.000000,170.0,89858.0,102918.0,https://anaconda.org/conda-forge/holoviews,2020-12-28 13:23:01.410000,395744.0,,,,,2.0,,,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,2020-05-24 13:49:54.205000,,5994.0,,,,,,,,,,,,\n150,Lifelines,CamDavidsonPilon/lifelines,,medical-data,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42.000000,2021-01-05 18:34:14.000000,2021-01-05 18:34:13.000000,411.0,188.0,585.0,1523,2073.0,Survival analysis in Python.,90.0,29,True,2020-12-09 21:14:01.000000,0.25.7,152.0,lifelines,conda-forge/lifelines,,,,597.0,471.0,https://pypi.org/project/lifelines,2020-12-09 21:14:01.000000,126.0,105636.0,107829.0,https://anaconda.org/conda-forge/lifelines,2020-12-10 02:47:14.864000,120632.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n151,Geocoder,DenisCarriere/geocoder,,geospatial-data,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21.000000,2020-12-30 04:09:42.000000,2018-10-12 15:53:05.000000,251.0,64.0,215.0,1319,1251.0,Python Geocoder.,74.0,29,False,2018-04-04 12:34:51.000000,1.38.1,108.0,geocoder,conda-forge/geocoder,,,,3496.0,2920.0,https://pypi.org/project/geocoder,2018-04-04 12:34:51.000000,576.0,242759.0,244590.0,https://anaconda.org/conda-forge/geocoder,2019-06-27 16:40:50.469000,86078.0,,,,,2.0,,,,,,,,,,,,,,geocoder,,,,,,\n152,torchaudio,pytorch/audio,,audio,https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000000,2021-01-07 22:28:28.000000,2021-01-07 22:28:27.000000,262.0,152.0,238.0,1183,648.0,\"Data manipulation and transformation for audio signal processing, powered by PyTorch.\",84.0,29,True,2020-12-10 17:02:20.000000,0.7.2,11.0,torchaudio,,,,['pytorch'],1087.0,1078.0,https://pypi.org/project/torchaudio,2020-10-27 16:14:57.000000,9.0,73710.0,73710.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n153,py2neo,technige/py2neo,,db-clients,https://github.com/technige/py2neo,https://github.com/technige/py2neo,Apache-2.0,2011-07-03 10:01:07.000000,2021-01-03 19:35:40.000000,2020-12-21 21:32:51.000000,196.0,25.0,689.0,958,2735.0,Py2neo is a comprehensive toolkit for working with Neo4j from within Python applications or from the command line.,31.0,29,True,2020-11-21 09:50:58.000000,2020.1.1,102.0,py2neo,conda-forge/py2neo,,,,1114.0,,https://pypi.org/project/py2neo,2020-11-21 09:51:22.000000,1114.0,74879.0,75614.0,https://anaconda.org/conda-forge/py2neo,2019-03-17 09:26:49.366000,31617.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n154,Graphviz,xflr6/graphviz,,data-viz,https://github.com/xflr6/graphviz,https://github.com/xflr6/graphviz,MIT,2014-01-12 17:49:29.000000,2021-01-05 23:44:43.000000,2021-01-05 23:22:54.000000,137.0,5.0,96.0,892,449.0,Simple Python interface for Graphviz.,15.0,29,True,2020-10-07 09:06:41.000000,0.14.2,47.0,graphviz,,,,,20988.0,16606.0,https://pypi.org/project/graphviz,2020-12-24 16:17:24.000000,4382.0,2489068.0,2489068.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n155,TensorFlow Transform,tensorflow/transform,,tensorflow-utils,https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53.000000,2021-01-05 23:50:31.000000,2021-01-05 23:50:25.000000,163.0,32.0,114.0,849,558.0,Input pipeline framework.,27.0,29,True,2020-12-16 21:35:23.000000,0.26.0,33.0,tensorflow-transform,,,,['tensorflow'],471.0,387.0,https://pypi.org/project/tensorflow-transform,2020-12-16 21:35:23.000000,84.0,7075209.0,7075209.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n156,snakemake,snakemake/snakemake,,ml-experiments,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867000,2021-01-07 12:27:38.000000,2020-12-21 21:28:10.000000,178.0,312.0,201.0,798,3938.0,\"This is the development home of the workflow management system Snakemake. For general information, see.\",193.0,29,True,2020-12-21 22:01:57.000000,5.31.1,158.0,snakemake,bioconda/snakemake,,,,1006.0,718.0,https://pypi.org/project/snakemake,2020-12-21 22:02:41.000000,288.0,9801.0,14022.0,https://anaconda.org/bioconda/snakemake,2020-12-22 11:10:44.475000,265968.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n157,pyproj,pyproj4/pyproj,,geospatial-data,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000000,2021-01-08 01:17:08.000000,2021-01-08 01:15:13.000000,146.0,6.0,374.0,564,1099.0,Python interface to PROJ (cartographic projections and coordinate transformations library).,39.0,29,True,2020-11-05 13:39:29.000000,3.0.0.post1,34.0,pyproj,conda-forge/pyproj,,,,10505.0,8043.0,https://pypi.org/project/pyproj,2020-11-05 14:28:45.000000,2462.0,1104313.0,1134612.0,https://anaconda.org/conda-forge/pyproj,2020-11-06 22:55:31.654000,1848285.0,,,,,2.0,,,,,,,,,,1.0,,,,,,,,,,\n158,NIPYPE,nipy/nipype,,medical-data,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000000,2021-01-08 02:09:41.000000,2020-12-08 17:16:40.000000,439.0,312.0,872.0,542,14049.0,Workflows and interfaces for neuroimaging packages.,212.0,29,True,2020-09-17 18:44:32.000000,1.5.1,54.0,nipype,conda-forge/nipype,,,,673.0,481.0,https://pypi.org/project/nipype,2020-08-16 18:30:16.000000,192.0,12201.0,18601.0,https://anaconda.org/conda-forge/nipype,2020-11-28 17:44:51.813000,345635.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n159,NiBabel,nipy/nibabel,,medical-data,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30.000000,2021-01-05 12:44:33.000000,2021-01-05 12:43:30.000000,209.0,109.0,282.0,381,4934.0,Python package to access a cacophony of neuro-imaging file formats.,89.0,29,True,2020-11-28 22:19:50.000000,3.2.1,32.0,nibabel,conda-forge/nibabel,,,,4688.0,3424.0,https://pypi.org/project/nibabel,2020-11-28 22:18:23.000000,1264.0,47675.0,52820.0,https://anaconda.org/conda-forge/nibabel,2020-11-29 03:40:05.178000,288154.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n160,pandas-gbq,pydata/pandas-gbq,,db-clients,https://github.com/pydata/pandas-gbq,https://github.com/pydata/pandas-gbq,BSD-3-Clause,2017-02-08 13:07:19.000000,2020-12-22 15:29:13.000000,2020-12-17 21:26:00.000000,83.0,33.0,156.0,234,217.0,Pandas Google BigQuery.,29.0,29,True,2020-11-10 17:16:31.000000,0.14.1,26.0,pandas-gbq,conda-forge/pandas-gbq,,,['pandas'],2148.0,1716.0,https://pypi.org/project/pandas-gbq,2020-11-10 17:13:26.000000,432.0,7230817.0,7244317.0,https://anaconda.org/conda-forge/pandas-gbq,2020-11-11 15:55:18.257000,620806.0,,,,,3.0,192.0,,,,,,,,,,,,,,,,,,,\n161,spleeter,deezer/spleeter,,audio,https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000000,2020-12-18 16:31:25.000000,2020-12-07 12:44:51.000000,1538.0,97.0,391.0,15213,358.0,Deezer source separation library including pretrained models.,17.0,28,True,2020-10-23 12:15:02.000000,2.0.1,26.0,spleeter,conda-forge/spleeter,,,['tensorflow'],124.0,124.0,https://pypi.org/project/spleeter,2020-10-23 12:15:02.000000,,5502.0,67316.0,https://anaconda.org/conda-forge/spleeter,2020-06-30 14:33:43.220000,40382.0,,,,,2.0,883952.0,,,,,,,,,,,,,,,,,,,\n162,Faiss,facebookresearch/faiss,,nn-search,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000000,2021-01-07 19:16:19.000000,2021-01-07 04:49:02.000000,2052.0,98.0,1247.0,12076,420.0,A library for efficient similarity search and clustering of dense vectors.,71.0,28,True,2020-12-21 05:24:03.000000,1.6.5,43.0,pymilvus,conda-forge/faiss,,,,299.0,293.0,https://pypi.org/project/pymilvus,2020-10-16 13:11:09.000000,6.0,5547.0,8062.0,https://anaconda.org/conda-forge/faiss,2020-12-12 16:36:49.740000,20122.0,,,,,1.0,,,,,,,,,,-1.0,,,,,,,,,,\n163,PyTorch Geometric,rusty1s/pytorch_geometric,,graph,https://github.com/rusty1s/pytorch_geometric,https://github.com/rusty1s/pytorch_geometric,MIT,2017-10-06 16:03:03.000000,2021-01-07 21:15:22.000000,2021-01-07 21:15:16.000000,1675.0,656.0,1063.0,9884,4056.0,Geometric Deep Learning Extension Library for PyTorch.,137.0,28,True,2020-12-02 14:57:09.000000,1.6.3,25.0,torch-geometric,,,,['pytorch'],24.0,,https://pypi.org/project/torch-geometric,2020-11-27 07:18:41.000000,24.0,11655.0,11655.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n164,Sonnet,deepmind/sonnet,,ml-frameworks,https://github.com/deepmind/sonnet,https://github.com/deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35.000000,2020-11-30 02:35:15.000000,2020-10-08 10:01:11.000000,1242.0,15.0,135.0,8696,545.0,TensorFlow-based neural network library.,48.0,28,True,2020-03-27 10:36:19.000000,2.0.0,27.0,dm-sonnet,conda-forge/sonnet,,,['tensorflow'],556.0,474.0,https://pypi.org/project/dm-sonnet,2020-03-27 10:36:10.000000,82.0,59361.0,59849.0,https://anaconda.org/conda-forge/sonnet,2020-11-14 18:13:23.843000,6833.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n165,Records,kennethreitz42/records,,db-clients,https://github.com/kennethreitz42/records,https://github.com/kennethreitz42/records,ISC,2014-12-24 15:20:23.000000,2020-12-22 07:29:21.000000,2020-12-22 07:29:21.000000,531.0,55.0,81.0,6482,325.0,SQL for Humans.,37.0,28,True,2019-02-21 13:34:41.000000,0.5.3,10.0,records,conda-forge/records,,,,1009.0,709.0,https://pypi.org/project/records,2019-02-21 13:34:41.000000,300.0,184910.0,185275.0,https://anaconda.org/conda-forge/records,2018-01-15 04:48:02.550000,16460.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n166,featuretools,alteryx/featuretools,,hyperopt,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17.000000,2021-01-07 17:47:06.000000,2021-01-06 22:36:40.000000,686.0,111.0,389.0,5316,569.0,An open source python library for automated feature engineering.,49.0,28,True,2020-12-31 21:26:39.000000,0.23.0,63.0,featuretools,conda-forge/featuretools,,,,712.0,642.0,https://pypi.org/project/featuretools,2020-12-31 21:27:46.000000,70.0,64936.0,66646.0,https://anaconda.org/conda-forge/featuretools,2021-01-05 23:32:34.667000,42757.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n167,faust,robinhood/faust,,data-pipelines,https://github.com/robinhood/faust,https://github.com/robinhood/faust,BSD-3-Clause,2017-03-08 18:36:11.000000,2020-11-17 10:35:41.000000,2020-10-09 12:59:42.000000,424.0,225.0,219.0,5190,4137.0,Python Stream Processing.,91.0,28,True,2020-02-25 22:57:18.000000,1.10.4,46.0,faust,,,,,605.0,577.0,https://pypi.org/project/faust,2020-02-25 22:57:18.000000,28.0,61873.0,61873.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n168,GluonCV,dmlc/gluon-cv,,image,https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21.000000,2021-01-07 15:55:34.000000,2021-01-06 21:47:30.000000,1026.0,371.0,371.0,4450,823.0,Gluon CV Toolkit.,108.0,28,True,2021-01-05 00:33:13.000000,0.9.1,958.0,gluoncv,,,,['mxnet'],420.0,390.0,https://pypi.org/project/gluoncv,2021-01-07 09:01:58.000000,30.0,66068.0,66068.0,,,,,,,,2.0,,,,,,,,,,1.0,,,,,,,,,,\n169,UMAP,lmcinnes/umap,,data-viz,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17.000000,2021-01-05 16:22:21.000000,2021-01-05 16:22:14.000000,466.0,201.0,214.0,4362,1277.0,Uniform Manifold Approximation and Projection.,68.0,28,True,2020-07-02 15:56:06.000000,0.4.6,33.0,umap-learn,,,,,226.0,,https://pypi.org/project/umap-learn,2020-11-26 16:29:14.000000,226.0,128661.0,128661.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n170,Tokenizers,huggingface/tokenizers,,nlp,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000000,2021-01-07 14:02:24.000000,2021-01-07 14:02:20.000000,303.0,80.0,283.0,4140,1418.0,Fast State-of-the-Art Tokenizers optimized for Research and Production.,39.0,28,True,2020-11-10 04:37:50.000000,0.9.4,57.0,tokenizers,conda-forge/tokenizers,,,,22.0,22.0,https://pypi.org/project/tokenizers,2020-12-08 18:59:15.000000,0.0,886522.0,889250.0,https://anaconda.org/conda-forge/tokenizers,2020-11-19 06:02:47.112000,16372.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n171,DEAP,deap/deap,,distributed-ml,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39.000000,2020-12-25 17:33:19.000000,2020-12-25 17:33:18.000000,830.0,166.0,218.0,4029,2147.0,Distributed Evolutionary Algorithms in Python.,67.0,28,False,2020-01-21 01:18:06.000000,1.3.1,16.0,deap,conda-forge/deap,,,,2002.0,1520.0,https://pypi.org/project/deap,2020-01-21 01:18:06.000000,482.0,117314.0,119251.0,https://anaconda.org/conda-forge/deap,2020-10-12 23:58:35.330000,106542.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n172,PyOD,yzhao062/pyod,,others,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04.000000,2020-12-23 15:20:44.000000,2020-12-23 15:20:10.000000,822.0,100.0,79.0,4004,1236.0,A Python Toolbox for Scalable Outlier Detection (Anomaly Detection).,20.0,28,True,2020-12-23 02:28:48.000000,0.8.5,63.0,pyod,,,,,454.0,448.0,https://pypi.org/project/pyod,2020-12-23 02:28:48.000000,6.0,83372.0,83372.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n173,dataset,pudo/dataset,,db-clients,https://github.com/pudo/dataset,https://github.com/pudo/dataset,MIT,2013-04-01 14:57:55.000000,2020-12-30 21:35:43.000000,2020-12-30 21:33:06.000000,260.0,11.0,236.0,3958,662.0,\"Easy-to-use data handling for SQL data stores with support for implicit table creation, bulk loading, and transactions.\",71.0,28,True,2020-12-30 21:35:43.000000,1.4.3,48.0,dataset,,,,,2780.0,1752.0,https://pypi.org/project/dataset,2020-12-30 21:35:43.000000,1028.0,41637.0,41637.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n174,Kornia,kornia/kornia,,image,https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000000,2021-01-06 08:31:41.000000,2021-01-06 06:01:53.000000,345.0,103.0,238.0,3488,1470.0,Open Source Differentiable Computer Vision Library for PyTorch.,79.0,28,True,2020-10-20 19:31:49.000000,0.4.1,12.0,kornia,,,,['pytorch'],220.0,220.0,https://pypi.org/project/kornia,2020-10-20 19:31:49.000000,0.0,14967.0,14967.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n175,Kedro,quantumblacklabs/kedro,,data-pipelines,https://github.com/quantumblacklabs/kedro,https://github.com/quantumblacklabs/kedro,Apache-2.0,2019-04-18 10:29:56.000000,2021-01-07 14:04:56.000000,2021-01-07 13:04:42.000000,385.0,87.0,331.0,3274,1105.0,\"A Python framework for creating reproducible, maintainable and modular data science code.\",91.0,28,True,2020-12-17 13:31:56.000000,0.17.0,24.0,kedro,,,,,366.0,350.0,https://pypi.org/project/kedro,2020-12-17 13:31:56.000000,16.0,51462.0,51462.0,,,,,,,,2.0,,,,,,,,,,1.0,,,,,,,,,,\n176,Blaze,blaze/blaze,,data-containers,https://github.com/blaze/blaze,https://github.com/blaze/blaze,BSD-3-Clause,2012-10-26 14:25:22.000000,2020-02-01 19:33:09.000000,2019-08-15 21:14:59.000000,373.0,262.0,500.0,2919,7496.0,NumPy and Pandas interface to Big Data.,64.0,28,False,2016-07-19 20:40:03.000000,0.11.0,14.0,blaze,conda-forge/blaze,,,,7867.0,7379.0,https://pypi.org/project/blaze,2016-05-06 21:19:21.000000,488.0,10326.0,14898.0,https://anaconda.org/conda-forge/blaze,2018-07-15 22:16:17.685000,187484.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n177,Dedupe,dedupeio/dedupe,,nlp,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36.000000,2020-12-24 19:43:22.000000,2020-11-09 02:38:13.000000,402.0,51.0,568.0,2856,2792.0,\"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.\",55.0,28,True,2020-09-02 00:17:19.000000,2.0.6,157.0,dedupe,,,,,252.0,174.0,https://pypi.org/project/dedupe,2020-09-06 01:50:45.000000,78.0,52246.0,52246.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n178,PyCaret,pycaret/pycaret,,ml-experiments,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000000,2021-01-07 23:06:23.000000,2021-01-07 22:59:36.000000,579.0,148.0,525.0,2806,1558.0,\"An open-source, low-code machine learning library in Python.\",40.0,28,True,2020-12-22 22:10:30.000000,2.2.3,68.0,pycaret,,,,,580.0,580.0,https://pypi.org/project/pycaret,2020-12-22 22:10:30.000000,0.0,24875.0,24932.0,,,,,,,,2.0,347.0,,,,,,,,,,,,,,,,,,,\n179,phonenumbers,daviddrysdale/python-phonenumbers,,nlp,https://github.com/daviddrysdale/python-phonenumbers,https://github.com/daviddrysdale/python-phonenumbers,Apache-2.0,2011-04-21 03:06:38.000000,2021-01-04 15:51:38.000000,2021-01-04 15:51:03.000000,324.0,3.0,110.0,2599,,Python port of Google's libphonenumber.,22.0,28,True,2020-12-04 08:41:00.000000,8.12.15,166.0,phonenumbers,conda-forge/phonenumbers,,,,2280.0,,https://pypi.org/project/phonenumbers,2020-12-16 08:06:19.000000,2280.0,735721.0,742386.0,https://anaconda.org/conda-forge/phonenumbers,2019-08-04 21:19:59.322000,366615.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n180,VisPy,vispy/vispy,,data-viz,https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22.000000,2020-12-22 03:47:57.000000,2020-11-28 02:03:40.000000,535.0,354.0,779.0,2550,6394.0,High-performance interactive 2D/3D data visualization library.,144.0,28,True,2020-12-14 15:55:00.000000,0.6.6,16.0,vispy,conda-forge/vispy,,,['jupyter'],561.0,439.0,https://pypi.org/project/vispy,2020-11-28 02:55:50.000000,122.0,12981.0,16065.0,https://anaconda.org/conda-forge/vispy,2020-11-28 13:05:36.454000,117102.0,,,,,2.0,,,,vispy,https://www.npmjs.com/package/vispy,2020-03-15 14:39:41.516000,,82.0,,,,,,,,,,,,\n181,datashader,holoviz/datashader,,data-viz,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000000,2021-01-07 16:21:42.000000,2021-01-07 14:34:16.000000,307.0,144.0,315.0,2388,1281.0,Quickly and accurately render even the largest data.,43.0,28,True,2021-01-07 16:14:43.000000,0.12.0,22.0,datashader,conda-forge/datashader,,,,616.0,546.0,https://pypi.org/project/datashader,2021-01-07 16:14:43.000000,70.0,11612.0,15031.0,https://anaconda.org/conda-forge/datashader,2020-08-17 11:43:03.087000,129954.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n182,dbt,fishtown-analytics/dbt,,data-pipelines,https://github.com/fishtown-analytics/dbt,https://github.com/fishtown-analytics/dbt,Apache-2.0,2016-03-10 02:38:00.000000,2021-01-07 22:19:07.000000,2021-01-07 15:00:02.000000,466.0,262.0,1426.0,2325,2481.0,dbt (data build tool) enables data analysts and engineers to transform their data using the same practices that..,127.0,28,True,2020-10-13 21:51:53.000000,0.18.1,140.0,dbt,conda-forge/dbt,,,,182.0,164.0,https://pypi.org/project/dbt,2020-12-29 23:08:04.000000,18.0,94201.0,97151.0,https://anaconda.org/conda-forge/dbt,2020-05-14 13:55:32.153000,147544.0,,,,,2.0,,,,,,,,,,,dbt,,,,,,,,,\n183,sklearn-pandas,scikit-learn-contrib/sklearn-pandas,,data-containers,https://github.com/scikit-learn-contrib/sklearn-pandas,https://github.com/scikit-learn-contrib/sklearn-pandas,Zlib,2013-04-22 22:55:20.000000,2021-01-06 16:30:51.000000,2021-01-06 16:28:10.000000,377.0,40.0,117.0,2305,269.0,Pandas integration with sklearn.,35.0,28,False,2021-01-06 16:30:51.000000,2.0.4,24.0,sklearn-pandas,,,,\"['sklearn', 'pandas']\",1834.0,1612.0,https://pypi.org/project/sklearn-pandas,2020-11-07 02:30:27.000000,222.0,111253.0,111253.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n184,eli5,TeamHG-Memex/eli5,,interpretability,https://github.com/TeamHG-Memex/eli5,https://github.com/TeamHG-Memex/eli5,MIT,2016-09-15 01:04:57.000000,2020-12-09 18:22:22.000000,2020-01-22 07:39:36.000000,283.0,125.0,109.0,2260,1198.0,A library for debugging/inspecting machine learning classifiers and explaining their predictions.,14.0,28,True,2019-08-29 06:19:32.000000,0.10.1,27.0,eli5,conda-forge/eli5,,,,916.0,820.0,https://pypi.org/project/eli5,2019-08-29 06:19:32.000000,96.0,256570.0,258505.0,https://anaconda.org/conda-forge/eli5,2020-06-15 13:11:13.408000,85146.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n185,NMSLIB,nmslib/nmslib,,nn-search,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06.000000,2021-01-08 00:29:17.443000,2021-01-07 21:00:28.000000,332.0,45.0,310.0,2245,1478.0,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,44.0,28,True,2021-01-07 22:13:21.000000,2.0.11,25.0,nmslib,conda-forge/nmslib,,,,358.0,306.0,https://pypi.org/project/nmslib,2021-01-07 22:13:21.000000,52.0,48036.0,49036.0,https://anaconda.org/conda-forge/nmslib,2021-01-08 00:29:17.443000,9001.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n186,GPyTorch,cornellius-gp/gpytorch,,probabilistics,https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000000,2021-01-06 21:41:51.000000,2021-01-06 21:41:50.000000,308.0,193.0,620.0,2241,3205.0,A highly efficient and modular implementation of Gaussian Processes in PyTorch.,63.0,28,True,2020-11-30 21:36:11.000000,1.3.0,24.0,gpytorch,,,,['pytorch'],194.0,186.0,https://pypi.org/project/gpytorch,2020-11-30 21:38:19.000000,8.0,32373.0,32373.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n187,implicit,benfred/implicit,,recommender-systems,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000000,2020-11-24 06:44:37.378000,2020-11-15 19:47:23.000000,452.0,77.0,255.0,2211,300.0,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,28.0,28,True,2020-09-15 22:01:38.000000,0.4.4,34.0,implicit,conda-forge/implicit,,,,356.0,334.0,https://pypi.org/project/implicit,2020-09-15 22:01:38.000000,22.0,94584.0,99500.0,https://anaconda.org/conda-forge/implicit,2020-11-24 06:44:37.378000,177009.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n188,Keras Tuner,keras-team/keras-tuner,,hyperopt,https://github.com/keras-team/keras-tuner,https://github.com/keras-team/keras-tuner,Apache-2.0,2019-06-06 22:38:21.000000,2020-12-23 19:28:06.000000,2020-12-09 20:19:05.000000,254.0,145.0,133.0,2199,787.0,Hyperparameter tuning for humans.,28.0,28,True,2020-11-20 19:13:23.000000,1.0.2,5.0,keras-tuner,,,,['tensorflow'],344.0,342.0,https://pypi.org/project/keras-tuner,2020-11-20 19:00:59.000000,2.0,431096.0,431096.0,,,,,,,,1.0,,,,,,,,,,-1.0,,,,,,,,,,\n189,AzureML SDK,Azure/MachineLearningNotebooks,,ml-experiments,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000000,2020-12-12 00:49:34.000000,2020-12-12 00:49:33.000000,1477.0,59.0,847.0,2066,1081.0,Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft.,52.0,28,True,2020-12-07 18:38:50.000000,1.19.0,65.0,azureml-sdk,,,,,60.0,,https://pypi.org/project/azureml-sdk,2020-12-07 18:38:50.000000,60.0,286631.0,286645.0,,,,,,,,2.0,385.0,,,,,,,,,,,,,,,,,,,\n190,ImageHash,JohannesBuchner/imagehash,,image,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48.000000,2021-01-03 14:55:33.000000,2021-01-03 14:55:15.000000,245.0,17.0,70.0,1801,184.0,A Python Perceptual Image Hashing Module.,17.0,28,True,2020-11-19 14:54:24.000000,4.2.0,17.0,ImageHash,conda-forge/imagehash,,,,2346.0,1814.0,https://pypi.org/project/ImageHash,2020-11-19 14:54:24.000000,532.0,354910.0,356827.0,https://anaconda.org/conda-forge/imagehash,2020-11-19 18:20:49.964000,95893.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n191,pyLDAvis,bmabey/pyLDAvis,,interpretability,https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03.000000,2020-12-03 09:31:49.000000,2020-12-02 18:10:12.000000,288.0,91.0,56.0,1376,218.0,Python library for interactive topic model visualization. Port of the R LDAvis package.,31.0,28,True,2018-06-05 18:55:56.000000,2.1.2,17.0,pyldavis,conda-forge/pyldavis,,,['jupyter'],1762.0,1663.0,https://pypi.org/project/pyldavis,2018-06-05 18:55:56.000000,99.0,63935.0,64600.0,https://anaconda.org/conda-forge/pyldavis,2018-06-22 21:16:15.741000,20630.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n192,Flax,google/flax,,ml-frameworks,https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000000,2021-01-07 21:26:54.000000,2021-01-07 16:15:22.000000,152.0,114.0,104.0,1348,1425.0,Flax is a neural network ecosystem for JAX that is designed for flexibility.,69.0,28,True,2020-12-08 15:13:37.000000,0.3.0,9.0,flax,,,,['jax'],82.0,79.0,https://pypi.org/project/flax,2020-12-08 15:14:03.000000,3.0,74722.0,74724.0,,,,,,,,3.0,20.0,,,,,,,,,,,,,,,,,,,\n193,PyTables,PyTables/PyTables,,data-containers,https://github.com/PyTables/PyTables,https://github.com/PyTables/PyTables,BSD-3-Clause,2011-06-03 19:44:46.000000,2021-01-07 23:28:08.000000,2021-01-06 12:38:27.000000,180.0,153.0,440.0,998,3900.0,A Python package to manage extremely large amounts of data.,96.0,28,True,2019-10-30 19:33:37.000000,3.6.1,25.0,tables,conda-forge/pytables,,,,3754.0,,https://pypi.org/project/tables,2019-10-30 19:33:37.000000,3754.0,397103.0,436884.0,https://anaconda.org/conda-forge/pytables,2020-10-21 22:20:27.234000,2108328.0,,,,,2.0,125.0,,,,,,,,,-1.0,,,,,,,,,,\n194,Bottleneck,pydata/bottleneck,,data-containers,https://github.com/pydata/bottleneck,https://github.com/pydata/bottleneck,BSD-2-Clause,2010-11-27 23:21:22.000000,2021-01-06 15:18:05.000000,2020-11-25 00:09:25.000000,62.0,23.0,177.0,568,1226.0,Fast NumPy array functions written in C.,20.0,28,True,2020-02-21 06:22:16.000000,1.3.2,21.0,Bottleneck,conda-forge/bottleneck,,,,20809.0,17917.0,https://pypi.org/project/Bottleneck,2020-02-21 06:22:16.000000,2892.0,205452.0,229785.0,https://anaconda.org/conda-forge/bottleneck,2020-10-12 10:23:18.707000,1362657.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n195,inflect,jaraco/inflect,,nlp,https://github.com/jaraco/inflect,https://github.com/jaraco/inflect,MIT,2010-06-20 13:43:13.000000,2020-12-18 02:56:48.000000,2020-11-15 19:27:28.000000,57.0,13.0,58.0,464,590.0,\"Correctly generate plurals, ordinals, indefinite articles; convert numbers to words.\",25.0,28,True,2020-11-15 17:41:03.000000,5.0.2,30.0,inflect,conda-forge/inflect,,,,1388.0,,https://pypi.org/project/inflect,2020-11-15 17:40:58.000000,1388.0,887300.0,890023.0,https://anaconda.org/conda-forge/inflect,2020-11-15 19:06:38.533000,122549.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n196,minio,minio/minio-py,,db-clients,https://github.com/minio/minio-py,https://github.com/minio/minio-py,Apache-2.0,2015-06-17 03:51:15.000000,2021-01-05 18:53:04.586000,2021-01-05 17:46:50.000000,171.0,,370.0,386,1008.0,MinIO Client SDK for Python.,88.0,28,True,2021-01-05 17:57:49.000000,7.0.1,85.0,minio,conda-forge/minio,,,,1546.0,1202.0,https://pypi.org/project/minio,2021-01-05 17:46:43.000000,344.0,163752.0,164602.0,https://anaconda.org/conda-forge/minio,2021-01-05 18:53:04.586000,16154.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n197,DIPY,dipy/dipy,,medical-data,https://github.com/dipy/dipy,https://github.com/dipy/dipy,BSD-3-Clause,2010-02-06 11:43:08.000000,2020-12-17 18:09:13.000000,2020-12-10 16:48:07.000000,313.0,156.0,571.0,375,11365.0,\"DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal..\",118.0,28,True,2020-11-05 17:35:53.000000,1.3.0,21.0,dipy,conda-forge/dipy,,,,409.0,315.0,https://pypi.org/project/dipy,2020-11-05 17:35:53.000000,94.0,7573.0,10635.0,https://anaconda.org/conda-forge/dipy,2020-11-14 18:28:50.683000,171482.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n198,Cython BLIS,explosion/cython-blis,,others,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16.000000,2020-12-07 11:23:01.451000,2020-12-07 07:21:11.000000,22.0,6.0,15.0,157,524.0,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,9.0,28,True,2020-12-07 08:56:44.000000,0.7.4,35.0,blis,conda-forge/cython-blis,,,,8040.0,7650.0,https://pypi.org/project/blis,2020-12-07 08:56:44.000000,390.0,806463.0,823836.0,https://anaconda.org/conda-forge/cython-blis,2020-12-07 11:23:01.451000,382215.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n199,CNTK,microsoft/CNTK,,ml-frameworks,https://github.com/microsoft/CNTK,https://github.com/microsoft/CNTK,MIT,2015-11-26 09:52:06.000000,2020-12-09 22:21:57.000000,2020-03-31 15:55:14.000000,4408.0,830.0,2514.0,16950,16116.0,\"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.\",265.0,27,True,2019-04-26 14:13:32.000000,2.7,32.0,cntk,,,,,17.0,,https://pypi.org/project/cntk,2020-12-09 22:21:57.000000,17.0,1214.0,1440.0,,,,,,,,3.0,13581.0,,,,,,,,,,,,,,,,,,,\n200,EasyOCR,JaidedAI/EasyOCR,,ocr,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000000,2021-01-07 10:08:19.000000,2021-01-05 13:45:05.000000,937.0,82.0,153.0,9751,366.0,\"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..\",73.0,27,True,2021-01-05 13:59:10.000000,1.2.2,15.0,easyocr,,,,,99.0,99.0,https://pypi.org/project/easyocr,2021-01-05 13:59:10.000000,0.0,9508.0,21686.0,,,,,,,,2.0,85250.0,,,,,,,,,1.0,,,,,,,,,,\n201,Dopamine,google/dopamine,,reinforcement-learning,https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36.000000,2021-01-05 04:01:12.000000,2020-11-24 20:59:42.000000,1225.0,72.0,69.0,9260,210.0,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,13.0,27,True,2020-10-16 22:05:03.000000,3.1.8,34.0,dopamine-rl,,,,['tensorflow'],31.0,,https://pypi.org/project/dopamine-rl,2020-10-16 22:05:03.000000,31.0,81064.0,81064.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n202,NNI,microsoft/nni,,hyperopt,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44.000000,2021-01-08 01:17:54.000000,2021-01-05 03:25:14.000000,1118.0,237.0,856.0,8643,1846.0,\"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..\",111.0,27,True,2020-10-22 13:31:52.000000,1.9,35.0,nni,,,,,93.0,77.0,https://pypi.org/project/nni,2021-01-07 00:38:03.000000,16.0,1765.0,1765.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n203,AutoKeras,keras-team/autokeras,,hyperopt,https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20.000000,2021-01-04 07:29:18.000000,2021-01-04 07:29:16.000000,1241.0,59.0,658.0,7676,1232.0,AutoML library for deep learning.,126.0,27,True,2020-11-30 02:43:50.000000,1.0.12,46.0,autokeras,,,,['tensorflow'],148.0,141.0,https://pypi.org/project/autokeras,2020-11-30 02:43:50.000000,7.0,6052.0,6052.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n204,pretrainedmodels,Cadene/pretrained-models.pytorch,,pytorch-utils,https://github.com/Cadene/pretrained-models.pytorch,https://github.com/Cadene/pretrained-models.pytorch,BSD-3-Clause,2017-04-09 15:54:23.000000,2020-06-08 16:06:59.000000,2020-04-16 08:02:22.000000,1606.0,85.0,86.0,7601,154.0,\"Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.\",22.0,27,True,2018-10-29 08:18:45.000000,0.7.4,16.0,pretrainedmodels,,,,['pytorch'],910.0,806.0,https://pypi.org/project/pretrainedmodels,2018-10-29 08:18:45.000000,104.0,27651.0,27651.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n205,tensorboardX,lanpa/tensorboardX,,ml-experiments,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19.000000,2020-10-14 17:46:25.000000,2020-07-05 17:29:00.000000,770.0,72.0,341.0,6746,460.0,\"tensorboard for pytorch (and chainer, mxnet, numpy, ...).\",64.0,27,True,2020-07-05 17:54:10.000000,2.0,12.0,tensorboardX,conda-forge/tensorboardx,,,,10956.0,9622.0,https://pypi.org/project/tensorboardX,2019-12-31 14:04:21.000000,1334.0,295558.0,302576.0,https://anaconda.org/conda-forge/tensorboardx,2020-07-06 20:33:55.729000,252434.0,,,,,2.0,289.0,,,,,,,,,,,,,,,,,,,\n206,Pyro,pyro-ppl/pyro,,probabilistics,https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000000,2021-01-06 23:44:29.000000,2021-01-06 23:44:25.000000,777.0,130.0,677.0,6672,2138.0,Deep universal probabilistic programming with Python and PyTorch.,103.0,27,True,2020-11-17 23:30:42.000000,1.5.1,24.0,pyro-ppl,,,,['pytorch'],390.0,354.0,https://pypi.org/project/pyro-ppl,2020-11-17 23:22:46.000000,36.0,7589.0,7589.0,,,,,,,,2.0,,,,,,,,,,-1.0,,,,,,,,,,\n207,TensorLayer,tensorlayer/tensorlayer,,reinforcement-learning,https://github.com/tensorlayer/tensorlayer,https://github.com/tensorlayer/tensorlayer,Apache-2.0,2016-06-07 15:55:16.000000,2021-01-06 07:16:21.000000,2021-01-06 02:15:37.000000,1444.0,48.0,433.0,6446,3309.0,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,128.0,27,True,2021-01-06 07:16:21.000000,2.2.4,82.0,tensorlayer,,,,['tensorflow'],68.0,,https://pypi.org/project/tensorlayer,2020-06-19 00:53:37.000000,68.0,2341.0,2364.0,,,,,,,,1.0,1200.0,,,,,,,,,,,,,,,,,,,\n208,dgl,dmlc/dgl,,graph,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000000,2021-01-07 17:17:51.000000,2021-01-07 12:14:45.000000,1280.0,227.0,670.0,6436,1472.0,\"Python package built to ease deep learning on graph, on top of existing DL frameworks.\",97.0,27,True,2020-11-30 07:39:12.000000,0.5.3,341.0,dgl,,,,,30.0,,https://pypi.org/project/dgl,2021-01-07 08:43:28.000000,30.0,14477.0,14477.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n209,PyTorch Image Models,rwightman/pytorch-image-models,,image,https://github.com/rwightman/pytorch-image-models,https://github.com/rwightman/pytorch-image-models,Apache-2.0,2019-02-02 05:51:12.000000,2021-01-06 05:26:35.000000,2021-01-06 05:25:40.000000,903.0,21.0,203.0,6396,648.0,\"PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2,..\",26.0,27,True,2021-01-03 23:30:24.000000,0.3.3,13.0,,,,,['pytorch'],237.0,237.0,,,,,8303.0,,,,,,,,2.0,166065.0,,,,,,,,,2.0,,,,,,,,,,\n210,imageai,OlafenwaMoses/ImageAI,,image,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33.000000,2021-01-05 01:31:44.000000,2021-01-05 01:31:12.000000,1595.0,200.0,403.0,5718,290.0,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,13.0,27,True,2021-01-05 01:26:01.000000,2.1.6,10.0,imageai,,,,,654.0,642.0,https://pypi.org/project/imageai,2021-01-05 01:26:01.000000,12.0,5527.0,21278.0,,,,,,,,2.0,519814.0,,,,,,,,,,,,,,,,,,,\n211,OpenNMT,OpenNMT/OpenNMT-py,,nlp,https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000000,2021-01-07 16:07:34.000000,2021-01-07 16:07:33.000000,1742.0,94.0,1119.0,4739,2531.0,Open Source Neural Machine Translation in PyTorch.,165.0,27,True,2020-11-10 18:09:08.000000,2.0.0rc2,26.0,OpenNMT-py,,,,['pytorch'],68.0,64.0,https://pypi.org/project/OpenNMT-py,2020-11-10 18:10:02.000000,4.0,3700.0,3700.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n212,csvkit,wireservice/csvkit,,data-loading,https://github.com/wireservice/csvkit,https://github.com/wireservice/csvkit,MIT,2011-04-01 03:00:30.000000,2020-10-30 01:59:33.000000,2020-10-30 01:59:29.000000,535.0,56.0,743.0,4440,1693.0,\"A suite of utilities for converting to and working with CSV, the king of tabular file formats.\",91.0,27,True,2020-03-03 03:00:28.000000,1.0.5,33.0,csvkit,conda-forge/csvkit,,,,1501.0,799.0,https://pypi.org/project/csvkit,2020-03-03 03:00:28.000000,702.0,25840.0,26813.0,https://anaconda.org/conda-forge/csvkit,2019-05-28 12:30:50.171000,44758.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n213,snorkel,snorkel-team/snorkel,,data-loading,https://github.com/snorkel-team/snorkel,https://github.com/snorkel-team/snorkel,Apache-2.0,2016-02-26 05:52:45.000000,2020-10-02 14:30:46.000000,2020-09-05 21:24:32.000000,707.0,29.0,911.0,4389,2646.0,A system for quickly generating training data with weak supervision.,62.0,27,True,2020-08-09 03:07:36.000000,0.9.6,17.0,snorkel,conda-forge/snorkel,,,,66.0,62.0,https://pypi.org/project/snorkel,2020-04-07 01:35:21.000000,4.0,67169.0,68010.0,https://anaconda.org/conda-forge/snorkel,2020-04-10 13:08:54.445000,14965.0,,,,,3.0,485.0,,,,,,,,,,,,,,,,,,,\n214,skorch,skorch-dev/skorch,,ml-frameworks,https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000000,2020-12-29 14:55:37.000000,2020-12-25 23:01:18.000000,271.0,48.0,317.0,3714,935.0,A scikit-learn compatible neural network library that wraps PyTorch.,39.0,27,True,2020-08-30 10:46:40.000000,0.9.0,12.0,skorch,conda-forge/skorch,,,\"['pytorch', 'sklearn']\",263.0,250.0,https://pypi.org/project/skorch,2020-08-30 10:43:37.000000,13.0,6555.0,12253.0,https://anaconda.org/conda-forge/skorch,2020-09-19 04:12:07.576000,159565.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n215,OCRmyPDF,jbarlow83/OCRmyPDF,,ocr,https://github.com/jbarlow83/OCRmyPDF,https://github.com/jbarlow83/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000000,2021-01-06 20:04:03.000000,2021-01-06 19:42:28.000000,416.0,85.0,556.0,3641,2815.0,\"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.\",49.0,27,True,2021-01-06 20:04:03.000000,11.4.5,157.0,ocrmypdf,,,,,114.0,102.0,https://pypi.org/project/ocrmypdf,2021-01-06 20:04:03.000000,12.0,14004.0,14004.0,,,,,,,,2.0,,,,,,,,,,,ocrmypdf,ocrmypdf,,,,,,,,\n216,imutils,jrosebr1/imutils,,image,https://github.com/jrosebr1/imutils,https://github.com/jrosebr1/imutils,MIT,2015-01-11 20:05:39.000000,2020-12-24 22:54:44.000000,2019-08-18 11:50:57.000000,851.0,123.0,75.0,3460,137.0,\"A series of convenience functions to make basic image processing operations such as translation, rotation, resizing,..\",19.0,27,False,2019-08-18 11:56:06.000000,0.5.3,28.0,imutils,conda-forge/imutils,,,,12527.0,11331.0,https://pypi.org/project/imutils,2019-08-18 11:56:06.000000,1196.0,169158.0,170923.0,https://anaconda.org/conda-forge/imutils,2020-11-01 14:10:29.531000,33550.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n217,lightfm,lyst/lightfm,,recommender-systems,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00.000000,2020-12-07 16:07:27.944000,2020-11-27 19:54:37.000000,561.0,127.0,273.0,3446,404.0,\"A Python implementation of LightFM, a hybrid recommendation algorithm.\",42.0,27,True,2020-11-27 19:48:30.000000,1.16,14.0,lightfm,conda-forge/lightfm,,,,398.0,370.0,https://pypi.org/project/lightfm,2020-11-27 19:55:08.000000,28.0,93446.0,95423.0,https://anaconda.org/conda-forge/lightfm,2020-12-07 16:07:27.944000,71201.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n218,InterpretML,interpretml/interpret,,interpretability,https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000000,2021-01-05 02:53:06.000000,2021-01-05 02:51:03.000000,412.0,50.0,118.0,3370,1403.0,Fit interpretable models. Explain blackbox machine learning.,21.0,27,True,2020-10-20 01:41:37.000000,0.2.2,32.0,interpret,,,,['jupyter'],60.0,58.0,https://pypi.org/project/interpret,2020-10-20 01:35:45.000000,2.0,12539.0,12539.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n219,Ignite,pytorch/ignite,,ml-frameworks,https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000000,2021-01-08 00:50:55.000000,2021-01-07 21:25:23.000000,403.0,98.0,587.0,3205,847.0,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,118.0,27,True,2020-09-20 20:00:28.000000,0.4.2,431.0,pytorch-ignite,pytorch/ignite,,,['pytorch'],745.0,683.0,https://pypi.org/project/pytorch-ignite,2021-01-08 00:50:55.000000,62.0,31401.0,33039.0,https://anaconda.org/pytorch/ignite,2020-09-20 20:00:11.134000,50786.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n220,dyNET,clab/dynet,,ml-frameworks,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21.000000,2020-10-22 07:16:17.000000,2020-10-22 07:16:12.000000,692.0,255.0,660.0,3163,3260.0,DyNet: The Dynamic Neural Network Toolkit.,155.0,27,True,2020-10-21 14:31:01.000000,2.1.2,24.0,dyNET,,,,,202.0,164.0,https://pypi.org/project/dyNET,2020-10-21 14:31:01.000000,38.0,4988.0,5012.0,,,,,,,,3.0,1273.0,,,,,,,,,,,,,,,,,,,\n221,Alpha Vantage,RomelTorres/alpha_vantage,,financial-data,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00.000000,2020-12-21 19:51:59.000000,2020-12-21 19:51:57.000000,541.0,16.0,195.0,2978,497.0,A python wrapper for Alpha Vantage API for financial data.,36.0,27,True,2020-12-21 02:37:29.000000,2.3.1,28.0,alpha_vantage,,,,,202.0,,https://pypi.org/project/alpha_vantage,2018-08-26 18:55:11.000000,202.0,23624.0,23624.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n222,missingno,ResidentMario/missingno,,data-viz,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50.000000,2020-12-28 16:13:39.000000,2020-12-28 16:13:38.000000,331.0,15.0,87.0,2596,170.0,Missing data visualization module for Python.,15.0,27,True,2019-07-09 16:03:51.000000,0.4.2,21.0,missingno,conda-forge/missingno,,,,2667.0,2591.0,https://pypi.org/project/missingno,2018-06-29 16:25:00.000000,76.0,177638.0,179226.0,https://anaconda.org/conda-forge/missingno,2020-02-15 10:07:41.253000,66716.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n223,GluonNLP,dmlc/gluon-nlp,,nlp,https://github.com/dmlc/gluon-nlp,https://github.com/dmlc/gluon-nlp,Apache-2.0,2018-04-04 20:57:13.000000,2021-01-07 23:14:14.000000,2021-01-07 21:10:28.000000,490.0,227.0,283.0,2207,789.0,\"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..\",75.0,27,True,2020-08-13 19:16:27.000000,0.10.0,25.0,gluonnlp,,,,['mxnet'],377.0,366.0,https://pypi.org/project/gluonnlp,2020-08-13 01:28:51.000000,11.0,32346.0,32346.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n224,Databases,encode/databases,,db-clients,https://github.com/encode/databases,https://github.com/encode/databases,BSD-3-Clause,2019-02-01 10:55:25.000000,2020-12-10 06:34:13.000000,2020-12-10 06:34:11.000000,131.0,88.0,87.0,1885,268.0,Async database support for Python.,28.0,27,True,2020-11-16 20:54:58.000000,0.4.1,29.0,databases,conda-forge/databases,,,,1349.0,1289.0,https://pypi.org/project/databases,2020-11-16 20:54:58.000000,60.0,40799.0,44154.0,https://anaconda.org/conda-forge/databases,2020-11-21 20:34:38.553000,77165.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n225,hdbscan,scikit-learn-contrib/hdbscan,,others,https://github.com/scikit-learn-contrib/hdbscan,https://github.com/scikit-learn-contrib/hdbscan,BSD-3-Clause,2015-04-22 13:32:37.000000,2021-01-06 20:53:54.000000,2021-01-06 20:53:54.000000,334.0,213.0,141.0,1782,867.0,A high performance implementation of HDBSCAN clustering.,64.0,27,True,2020-03-19 19:19:04.000000,0.8.26,42.0,hdbscan,conda-forge/hdbscan,,,['sklearn'],821.0,697.0,https://pypi.org/project/hdbscan,2020-03-19 19:19:04.000000,124.0,117643.0,126964.0,https://anaconda.org/conda-forge/hdbscan,2020-11-02 02:54:21.050000,503375.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n226,TF-Agents,tensorflow/agents,,reinforcement-learning,https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000000,2021-01-07 22:06:13.000000,2021-01-07 22:05:40.000000,445.0,98.0,302.0,1746,1581.0,TF-Agents is a library for Reinforcement Learning in TensorFlow.,84.0,27,True,2021-01-05 18:41:58.000000,0.7.1,18.0,tf-agents,,,,['tensorflow'],351.0,339.0,https://pypi.org/project/tf-agents,2021-01-05 18:41:58.000000,12.0,7623.0,7623.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n227,libcloud,apache/libcloud,,db-clients,https://github.com/apache/libcloud,https://github.com/apache/libcloud,Apache-2.0,2009-12-11 09:00:14.000000,2021-01-02 19:23:02.000000,2021-01-02 19:22:07.000000,880.0,30.0,65.0,1733,,Apache Libcloud is a Python library which hides differences between different cloud provider APIs and allows you to..,418.0,27,True,2020-09-20 13:03:47.000000,3.3.0,62.0,apache-libcloud,,,,,3138.0,1596.0,https://pypi.org/project/apache-libcloud,2021-01-02 19:20:03.000000,1542.0,49232.0,49232.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n228,textacy,chartbeat-labs/textacy,,nlp,https://github.com/chartbeat-labs/textacy,https://github.com/chartbeat-labs/textacy,Apache-2.0,2016-02-03 16:52:45.000000,2020-12-29 21:39:39.000000,2020-12-06 20:43:27.000000,211.0,29.0,194.0,1583,1328.0,\"NLP, before and after spaCy.\",28.0,27,True,2020-08-29 20:51:05.000000,0.10.1,29.0,textacy,conda-forge/textacy,,,,77.0,,https://pypi.org/project/textacy,2020-08-29 20:51:28.000000,77.0,26928.0,28593.0,https://anaconda.org/conda-forge/textacy,2020-11-19 15:32:56.211000,73303.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n229,Ibis,ibis-project/ibis,,db-clients,https://github.com/ibis-project/ibis,https://github.com/ibis-project/ibis,Apache-2.0,2015-04-17 20:43:46.000000,2021-01-08 00:15:11.000000,2021-01-07 22:53:13.000000,243.0,515.0,940.0,1498,1325.0,\"A pandas-like deferred expression system, with first-class SQL support.\",71.0,27,True,2020-11-11 16:01:20.000000,1.4.0,24.0,ibis-framework,conda-forge/ibis-framework,,,,179.0,131.0,https://pypi.org/project/ibis-framework,2020-11-11 16:01:20.000000,48.0,52961.0,55759.0,https://anaconda.org/conda-forge/ibis-framework,2020-11-13 03:18:14.785000,159541.0,,,,,3.0,,,,,,,,,,-1.0,,,,,,,,,,\n230,tslearn,tslearn-team/tslearn,,time-series-data,https://github.com/tslearn-team/tslearn,https://github.com/tslearn-team/tslearn,BSD-2-Clause,2017-05-04 13:08:13.000000,2021-01-08 00:41:23.000000,2021-01-07 09:48:40.000000,214.0,51.0,163.0,1436,1557.0,A machine learning toolkit dedicated to time-series data.,28.0,27,True,2020-06-18 15:54:49.000000,0.4.1,90.0,tslearn,conda-forge/tslearn,,,['sklearn'],184.0,173.0,https://pypi.org/project/tslearn,2020-06-18 16:13:01.000000,11.0,63081.0,68304.0,https://anaconda.org/conda-forge/tslearn,2020-06-19 05:46:30.651000,177606.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n231,datasketch,ekzhu/datasketch,,data-containers,https://github.com/ekzhu/datasketch,https://github.com/ekzhu/datasketch,MIT,2015-03-20 01:21:46.000000,2020-12-23 21:01:58.000000,2020-12-23 21:00:36.000000,198.0,19.0,90.0,1409,193.0,\"MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble.\",16.0,27,True,2020-12-15 20:59:57.000000,1.5.2,74.0,datasketch,,,,,329.0,243.0,https://pypi.org/project/datasketch,2020-12-15 20:59:57.000000,86.0,196032.0,196032.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,,\n232,Cartopy,mapbox/rasterio,,geospatial-data,https://github.com/mapbox/rasterio,https://github.com/mapbox/rasterio,LGPL-3.0,2013-11-04 16:36:27.000000,2021-01-07 17:10:43.000000,2021-01-07 17:10:42.000000,387.0,135.0,1183.0,1404,3240.0,Rasterio reads and writes geospatial raster datasets.,110.0,27,False,2018-11-17 07:43:32.000000,0.17.0,18.0,Cartopy,conda-forge/cartopy,,,,2734.0,2561.0,https://pypi.org/project/Cartopy,2020-04-27 04:57:38.000000,173.0,11518.0,33855.0,https://anaconda.org/conda-forge/cartopy,2020-12-21 22:49:27.196000,1294970.0,,,,,2.0,702.0,,,,,,,,,,,,,,,,,,,\n233,GPflow,GPflow/GPflow,,probabilistics,https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000000,2021-01-07 13:46:43.000000,2020-12-01 11:59:33.000000,389.0,86.0,599.0,1358,2203.0,Gaussian processes in TensorFlow.,68.0,27,True,2020-12-01 12:59:03.000000,2.1.4,28.0,gpflow,conda-forge/gpflow,,,['tensorflow'],225.0,208.0,https://pypi.org/project/gpflow,2020-12-01 13:12:15.000000,17.0,2703.0,2951.0,https://anaconda.org/conda-forge/gpflow,2018-11-06 08:51:39.744000,7952.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n234,ipyleaflet,jupyter-widgets/ipyleaflet,,geospatial-data,https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10.000000,2021-01-05 17:07:58.132000,2021-01-05 16:33:18.000000,278.0,130.0,247.0,1070,903.0,A Jupyter - Leaflet.js bridge.,63.0,27,True,2021-01-05 16:38:38.000000,0.13.6,70.0,ipyleaflet,conda-forge/ipyleaflet,,,['jupyter'],754.0,654.0,https://pypi.org/project/ipyleaflet,2021-01-05 16:38:38.000000,98.0,14192.0,155830.0,https://anaconda.org/conda-forge/ipyleaflet,2021-01-05 17:07:58.132000,572248.0,,,,,2.0,,,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2021-01-05 16:30:30.235000,2.0,131420.0,,,,,,,,,,,,\n235,PyCUDA,inducer/pycuda,,gpu-utilities,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000000,2021-01-04 20:15:46.000000,2021-01-04 20:12:30.000000,214.0,40.0,122.0,1068,1449.0,\"CUDA integration for Python, plus shiny features.\",68.0,27,True,2019-08-12 04:15:37.000000,2019.1.2,46.0,pycuda,,,,,992.0,700.0,https://pypi.org/project/pycuda,2020-10-07 21:59:52.000000,292.0,14157.0,14157.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n236,Model Analysis,tensorflow/model-analysis,,interpretability,https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000000,2021-01-06 06:33:06.000000,2021-01-06 06:32:59.000000,203.0,22.0,32.0,1021,874.0,Model analysis tools for TensorFlow.,33.0,27,True,2020-12-16 20:56:20.000000,0.26.0,33.0,tensorflow-model-analysis,,,,\"['tensorflow', 'jupyter']\",10.0,,https://pypi.org/project/tensorflow-model-analysis,2020-12-16 20:56:20.000000,10.0,6256418.0,6256418.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n237,TF Model Optimization,tensorflow/model-optimization,,tensorflow-utils,https://github.com/tensorflow/model-optimization,https://github.com/tensorflow/model-optimization,Apache-2.0,2018-10-31 20:34:28.000000,2021-01-06 08:26:06.000000,2021-01-06 08:26:00.000000,209.0,70.0,88.0,941,466.0,\"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.\",41.0,27,True,2020-09-14 04:46:03.000000,0.5.0,20.0,tensorflow-model-optimization,,,,['tensorflow'],510.0,507.0,https://pypi.org/project/tensorflow-model-optimization,2020-09-14 04:36:08.000000,3.0,60283.0,60283.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n238,PyStan,stan-dev/pystan,,probabilistics,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,GPL-3.0,2013-05-24 01:21:21.000000,2020-11-21 11:22:51.000000,2020-11-21 11:22:43.000000,192.0,66.0,425.0,907,867.0,\"PyStan, the Python interface to Stan.\",54.0,27,False,2020-10-16 20:20:46.000000,2.19.1.1-codes,54.0,pystan,conda-forge/pystan,,,,2715.0,2373.0,https://pypi.org/project/pystan,2020-11-19 14:21:16.000000,342.0,733296.0,751416.0,https://anaconda.org/conda-forge/pystan,2020-08-25 22:40:14.631000,833494.0,,,,,2.0,89.0,,,,,,,,,,,,,,,,,,,\n239,petl,petl-developers/petl,,data-pipelines,https://github.com/petl-developers/petl,https://github.com/petl-developers/petl,MIT,2011-08-19 09:51:03.000000,2021-01-07 23:50:55.000000,2020-12-29 03:45:19.000000,149.0,66.0,342.0,811,1119.0,Python Extract Transform and Load Tables of Data.,43.0,27,True,2020-12-29 02:39:53.000000,1.7.1,74.0,petl,conda-forge/petl,,http://petl.readthedocs.org,,418.0,304.0,https://pypi.org/project/petl,2020-10-06 00:03:28.000000,114.0,13307.0,13673.0,https://anaconda.org/conda-forge/petl,2020-12-29 04:11:54.349000,19044.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n240,pyopencl,inducer/pyopencl,,others,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,MIT,2011-04-06 02:51:33.000000,2021-01-07 21:35:45.000000,2021-01-04 18:47:30.000000,200.0,50.0,206.0,761,2803.0,\"OpenCL integration for Python, plus shiny features.\",82.0,27,True,2020-09-11 21:50:46.000000,2020.3.1,54.0,pyopencl,conda-forge/pyopencl,,,,678.0,440.0,https://pypi.org/project/pyopencl,2020-11-20 05:22:46.000000,238.0,5451.0,11253.0,https://anaconda.org/conda-forge/pyopencl,2020-11-20 05:04:27.429000,295907.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n241,igraph,igraph/python-igraph,,graph,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16.000000,2021-01-05 11:05:57.682000,2021-01-02 10:30:26.000000,180.0,23.0,255.0,757,1503.0,Python interface for igraph.,48.0,27,False,2020-10-08 14:50:52.000000,0.8.3,18.0,python-igraph,conda-forge/igraph,,,,1799.0,1375.0,https://pypi.org/project/python-igraph,2020-04-28 17:45:27.000000,424.0,50607.0,55209.0,https://anaconda.org/conda-forge/igraph,2021-01-05 11:05:57.682000,191444.0,,,,,1.0,30134.0,,,,,,,,,,,,,,,,,,,\n242,geojson,jazzband/geojson,,geospatial-data,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48.000000,2020-11-25 21:55:02.000000,2020-11-25 19:10:27.000000,78.0,18.0,50.0,588,445.0,Python bindings and utilities for GeoJSON.,44.0,27,True,2019-08-09 20:32:15.000000,2.5.0,28.0,geojson,conda-forge/geojson,,,,7109.0,5505.0,https://pypi.org/project/geojson,2019-08-09 20:32:15.000000,1604.0,416497.0,422636.0,https://anaconda.org/conda-forge/geojson,2019-08-11 12:10:34.426000,356100.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n243,detectron2,facebookresearch/detectron2,,image,https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000000,2021-01-06 17:29:03.000000,2021-01-06 17:28:56.000000,3643.0,89.0,2071.0,14397,895.0,Detectron2 is FAIR's next-generation platform for object detection and segmentation.,138.0,26,True,2020-11-06 03:20:56.000000,0.3,7.0,,conda-forge/detectron2,,,['pytorch'],145.0,145.0,,,,,1492.0,https://anaconda.org/conda-forge/detectron2,2020-08-05 13:27:52.058000,11938.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n244,Streamlit,streamlit/streamlit,,others,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000000,2021-01-08 01:11:59.000000,2021-01-08 00:52:45.000000,1034.0,516.0,930.0,12457,,Streamlit The fastest way to build data apps in Python.,83.0,26,True,2021-01-07 22:00:44.000000,0.74.1,122.0,streamlit,,,,,79.0,45.0,https://pypi.org/project/streamlit,2021-01-07 22:01:03.000000,34.0,109587.0,109587.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n245,InsightFace,deepinsight/insightface,,image,https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,MIT,2017-09-01 00:36:51.000000,2021-01-07 04:48:29.000000,2021-01-06 06:02:14.000000,2896.0,697.0,641.0,8348,1469.0,Face Analysis Project on MXNet.,14.0,26,True,2019-09-07 13:47:11.000000,0.1.5,6.0,insightface,,,,['mxnet'],48.0,47.0,https://pypi.org/project/insightface,2019-09-07 13:47:11.000000,1.0,5395.0,5395.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n246,Ludwig,ludwig-ai/ludwig,,ml-frameworks,https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000000,2020-12-30 20:52:25.000000,2020-12-30 20:52:24.000000,882.0,110.0,406.0,7411,2046.0,Ludwig is a toolbox that allows to train and evaluate deep learning models without the need to write code.,86.0,26,True,2020-12-29 03:18:52.000000,0.3.2,15.0,ludwig,,,,['tensorflow'],86.0,74.0,https://pypi.org/project/ludwig,2020-11-16 23:58:45.000000,12.0,1244.0,1244.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n247,PySyft,OpenMined/PySyft,,privacy-ml,https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,MIT,2017-07-18 20:41:16.000000,2021-01-08 01:46:23.000000,2020-12-31 04:15:46.000000,1533.0,172.0,2446.0,6728,6515.0,A library for answering questions using data you cannot see.,332.0,26,True,2020-11-12 19:57:33.000000,0.3.0,48.0,syft,,,,['pytorch'],3.0,,https://pypi.org/project/syft,2020-09-14 15:03:40.000000,3.0,1675.0,1675.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n248,carla,carla-simulator/carla,,others,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000000,2021-01-07 23:26:12.000000,2020-12-22 22:54:58.000000,1536.0,263.0,2633.0,5428,4756.0,Open-source simulator for autonomous driving research.,122.0,26,True,2020-12-23 07:08:35.000000,0.9.11,22.0,carla,,,,,55.0,53.0,https://pypi.org/project/carla,2019-04-28 17:45:24.000000,2.0,554.0,554.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n249,backtrader,mementum/backtrader,,financial-data,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52.000000,2021-01-05 08:44:48.000000,2020-07-03 12:52:48.000000,1617.0,13.0,,5350,2381.0,Python Backtesting library for trading strategies.,50.0,26,False,,,155.0,backtrader,,,,,484.0,414.0,https://pypi.org/project/backtrader,2020-07-03 13:02:14.000000,70.0,16064.0,16064.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n250,tsfresh,blue-yonder/tsfresh,,time-series-data,https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17.000000,2021-01-07 19:40:49.000000,2021-01-07 19:09:47.000000,819.0,31.0,391.0,5273,398.0,Automatic extraction of relevant features from time series:.,70.0,26,True,2020-09-09 21:08:22.000000,0.17.0,26.0,tsfresh,conda-forge/tsfresh,,,['sklearn'],33.0,,https://pypi.org/project/tsfresh,2020-09-09 21:08:22.000000,33.0,170407.0,171074.0,https://anaconda.org/conda-forge/tsfresh,2020-09-10 08:48:19.773000,25368.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n251,auto-sklearn,automl/auto-sklearn,,hyperopt,https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10.000000,2021-01-05 10:07:05.000000,2021-01-04 13:37:04.000000,968.0,122.0,553.0,5114,2402.0,Automated Machine Learning with scikit-learn.,63.0,26,True,2021-01-04 14:13:00.000000,0.12.1,26.0,auto-sklearn,,,,['sklearn'],156.0,126.0,https://pypi.org/project/auto-sklearn,2021-01-04 14:13:00.000000,30.0,6977.0,6977.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n252,DeepPavlov,deepmipt/DeepPavlov,,nlp,https://github.com/deepmipt/DeepPavlov,https://github.com/deepmipt/DeepPavlov,Apache-2.0,2017-11-17 14:35:29.000000,2020-12-31 06:28:32.000000,2020-12-24 16:30:15.000000,884.0,69.0,445.0,4923,2579.0,An open source library for deep learning end-to-end dialog systems and chatbots.,61.0,26,True,2020-12-24 16:35:56.000000,0.14.0,41.0,deeppavlov,,,,['tensorflow'],170.0,166.0,https://pypi.org/project/deeppavlov,2020-12-24 16:33:49.000000,4.0,5230.0,5230.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n253,keras-rl,keras-rl/keras-rl,,reinforcement-learning,https://github.com/keras-rl/keras-rl,https://github.com/keras-rl/keras-rl,MIT,2016-07-02 15:53:12.000000,2020-11-20 07:32:13.000000,2019-11-11 22:14:54.000000,1284.0,39.0,211.0,4912,308.0,Deep Reinforcement Learning for Keras.,40.0,26,False,2018-06-01 07:52:24.000000,0.4.2,8.0,keras-rl,,,,['tensorflow'],492.0,441.0,https://pypi.org/project/keras-rl,2018-06-01 07:52:24.000000,51.0,1644.0,1644.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n254,Bayesian Optimization,fmfn/BayesianOptimization,,hyperopt,https://github.com/fmfn/BayesianOptimization,https://github.com/fmfn/BayesianOptimization,MIT,2014-06-06 08:18:56.000000,2020-12-24 10:51:12.000000,2020-12-19 01:11:23.000000,1033.0,42.0,164.0,4763,199.0,A Python implementation of global optimization with gaussian processes.,27.0,26,True,2020-05-16 16:03:51.000000,1.2.0,8.0,bayesian-optimization,,,,,647.0,555.0,https://pypi.org/project/bayesian-optimization,2020-05-16 15:56:09.000000,92.0,49841.0,49842.0,,,,,,,,2.0,45.0,,,,,,,,,,,,,,,,,,,\n255,scikit-surprise,NicolasHug/Surprise,,recommender-systems,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38.000000,2020-10-13 01:22:58.850000,2020-08-05 17:45:59.000000,811.0,35.0,285.0,4611,622.0,A Python scikit for building and analyzing recommender systems.,38.0,26,True,2020-07-19 14:50:48.000000,1.1.1,9.0,scikit-surprise,conda-forge/scikit-surprise,,,,868.0,844.0,https://pypi.org/project/scikit-surprise,2020-07-19 14:50:48.000000,24.0,40687.0,44872.0,https://anaconda.org/conda-forge/scikit-surprise,2020-10-13 01:22:58.850000,150695.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n256,Datasette,simonw/datasette,,others,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000000,2021-01-08 00:01:22.000000,2021-01-08 00:01:01.000000,241.0,209.0,731.0,4493,1546.0,An open source multi-tool for exploring and publishing data.,42.0,26,True,2020-12-11 01:46:44.000000,0.53,87.0,datasette,,,,,403.0,333.0,https://pypi.org/project/datasette,2020-12-11 01:53:37.000000,70.0,5953.0,5953.0,,,,,,,,2.0,22.0,,,,,,,,,,datasette,,,,,,,,,\n257,PDFMiner,euske/pdfminer,,data-loading,https://github.com/euske/pdfminer,https://github.com/euske/pdfminer,MIT,2010-12-12 12:50:22.000000,2020-06-23 18:16:10.000000,2020-01-18 07:00:32.000000,1024.0,222.0,39.0,4466,540.0,Python PDF Parser (Not actively maintained). Check out pdfminer.six.,28.0,26,True,,,24.0,pdfminer,conda-forge/pdfminer,,,,3428.0,1962.0,https://pypi.org/project/pdfminer,2019-11-25 12:02:21.000000,1466.0,173039.0,173290.0,https://anaconda.org/conda-forge/pdfminer,2019-11-03 18:50:06.843000,13350.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n258,librosa,librosa/librosa,,audio,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000000,2020-10-19 21:24:48.000000,2020-09-11 13:58:44.000000,672.0,54.0,778.0,4189,,Python library for audio and music analysis.,80.0,26,True,2020-07-22 01:34:55.000000,0.8.0,28.0,librosa,conda-forge/librosa,,,,10495.0,8745.0,https://pypi.org/project/librosa,2020-07-22 01:34:55.000000,1750.0,301922.0,306350.0,https://anaconda.org/conda-forge/librosa,2020-07-22 10:27:18.402000,239163.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n259,Metaflow,Netflix/metaflow,,ml-experiments,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000000,2021-01-08 00:48:05.000000,2021-01-07 20:03:11.000000,310.0,107.0,136.0,3969,176.0,Build and manage real-life data science projects with ease.,28.0,26,True,2020-11-11 10:43:10.000000,2.2.5,14.0,metaflow,conda-forge/metaflow,,,,100.0,99.0,https://pypi.org/project/metaflow,2020-10-29 00:11:07.000000,1.0,38752.0,39510.0,https://anaconda.org/conda-forge/metaflow,2020-11-12 08:15:24.353000,9863.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n260,mlpack,mlpack/mlpack,,ml-frameworks,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59.000000,2021-01-07 10:33:34.000000,2021-01-06 22:32:42.000000,1281.0,156.0,1180.0,3516,25667.0,mlpack: a scalable C++ machine learning library --.,260.0,26,True,2020-10-28 18:28:47.000000,3.4.2,40.0,mlpack,conda-forge/mlpack,,,,,,https://pypi.org/project/mlpack,2020-10-28 18:28:47.000000,,291.0,2353.0,https://anaconda.org/conda-forge/mlpack,2020-10-29 09:35:18.918000,61872.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n261,sktime,alan-turing-institute/sktime,,time-series-data,https://github.com/alan-turing-institute/sktime,https://github.com/alan-turing-institute/sktime,BSD-3-Clause,2018-11-06 15:08:24.000000,2021-01-08 01:15:35.000000,2021-01-06 13:57:44.000000,404.0,98.0,213.0,3399,1519.0,A unified framework for machine learning with time series.,70.0,26,True,2020-12-29 22:15:58.000000,0.5.1,11.0,sktime,,,,['sklearn'],90.0,90.0,https://pypi.org/project/sktime,2020-12-29 22:15:58.000000,0.0,7061.0,7063.0,,,,,,,,2.0,41.0,,,,,,,,,,,,,,,,,,,\n262,Perspective,finos/perspective,,data-viz,https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000000,2021-01-07 18:30:21.000000,2021-01-07 05:02:01.000000,331.0,68.0,286.0,3100,4280.0,Streaming pivot visualization via WebAssembly.,61.0,26,True,2020-10-15 13:18:28.000000,0.5.6,38.0,perspective-python,,,,['jupyter'],166.0,162.0,https://pypi.org/project/perspective-python,2020-10-15 13:18:28.000000,4.0,533.0,1481.0,,,,,,,,3.0,,,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2020-10-15 12:44:46.020000,,948.0,,,,,,,,,,,,\n263,textract,deanmalmgren/textract,,data-loading,https://github.com/deanmalmgren/textract,https://github.com/deanmalmgren/textract,MIT,2014-07-03 20:36:59.000000,2021-01-04 14:04:16.000000,2019-11-14 08:37:39.000000,424.0,84.0,121.0,2930,556.0,extract text from any document. no muss. no fuss.,30.0,26,False,2019-08-26 15:05:53.000000,1.6.3,15.0,textract,conda-forge/textract,,,,192.0,,https://pypi.org/project/textract,2019-08-26 15:05:53.000000,192.0,19863.0,20060.0,https://anaconda.org/conda-forge/textract,2017-03-20 21:15:33.254000,10255.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n264,AutoGluon,awslabs/autogluon,,hyperopt,https://github.com/awslabs/autogluon,https://github.com/awslabs/autogluon,Apache-2.0,2019-07-29 18:51:24.000000,2021-01-07 21:23:05.000000,2021-01-07 18:46:01.000000,371.0,150.0,215.0,2895,460.0,\"AutoGluon: AutoML for Text, Image, and Tabular Data.\",50.0,26,True,2020-12-08 19:01:22.000000,0.0.15,289.0,autogluon,,,,['mxnet'],43.0,43.0,https://pypi.org/project/autogluon,2021-01-07 09:30:53.000000,0.0,20589.0,20589.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n265,nevergrad,facebookresearch/nevergrad,,hyperopt,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000000,2021-01-07 18:02:36.000000,2021-01-07 16:18:04.000000,266.0,75.0,115.0,2781,745.0,A Python toolbox for performing gradient-free optimization.,42.0,26,True,2020-08-04 12:13:07.000000,0.4.2,25.0,nevergrad,conda-forge/nevergrad,,,,123.0,109.0,https://pypi.org/project/nevergrad,2020-12-10 15:37:29.000000,14.0,7854.0,8468.0,https://anaconda.org/conda-forge/nevergrad,2020-12-14 18:21:29.267000,5530.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n266,pomegranate,jmschrei/pomegranate,,probabilistics,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000000,2021-01-06 02:49:05.000000,2021-01-01 06:00:57.000000,459.0,40.0,527.0,2561,864.0,\"Fast, flexible and easy to use probabilistic modelling in Python.\",60.0,26,True,2020-07-12 21:28:17.000000,0.13.4,59.0,pomegranate,conda-forge/pomegranate,,,,401.0,373.0,https://pypi.org/project/pomegranate,2020-07-12 21:28:17.000000,28.0,21384.0,23697.0,https://anaconda.org/conda-forge/pomegranate,2020-11-01 16:22:04.857000,41648.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n267,Dagster,dagster-io/dagster,,data-pipelines,https://github.com/dagster-io/dagster,https://github.com/dagster-io/dagster,Apache-2.0,2018-04-30 16:30:04.000000,2021-01-08 01:04:41.000000,2021-01-08 01:04:36.000000,256.0,599.0,1770.0,2496,6235.0,\"A data orchestrator for machine learning, analytics, and ETL.\",108.0,26,True,2020-12-11 04:26:56.000000,0.9.22.post0,224.0,dagster,conda-forge/dagster,,,,133.0,129.0,https://pypi.org/project/dagster,2020-12-11 04:26:29.000000,4.0,25957.0,34666.0,https://anaconda.org/conda-forge/dagster,2020-12-04 14:42:14.711000,121929.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n268,Catalyst,catalyst-team/catalyst,,ml-experiments,https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13.000000,2021-01-06 19:42:50.000000,2021-01-04 08:02:07.000000,261.0,28.0,258.0,2364,1467.0,Accelerated deep learning R&D.,80.0,26,True,2020-12-20 10:12:32.000000,20.12,86.0,catalyst,,,,['pytorch'],295.0,257.0,https://pypi.org/project/catalyst,2020-12-20 10:06:58.000000,38.0,6924.0,6924.0,,,,,,,,2.0,,,,,,,,,,-1.0,,,,,,,,,,\n269,pygal,Kozea/pygal,,graph,https://github.com/Kozea/pygal,https://github.com/Kozea/pygal,LGPL-3.0,2011-09-23 10:17:50.000000,2020-12-24 20:11:00.000000,2020-10-14 16:41:45.000000,380.0,164.0,240.0,2301,1012.0,PYthon svg GrAph plotting Library.,69.0,26,False,2017-07-05 09:22:41.000000,2.4.0,74.0,pygal,conda-forge/pygal,,,,1152.0,,https://pypi.org/project/pygal,2020-10-14 13:06:35.000000,1152.0,58953.0,59249.0,https://anaconda.org/conda-forge/pygal,2019-06-04 02:55:56.728000,5628.0,,,,,2.0,,,,,,,,,,-1.0,,,,,,,,,,\n270,gpustat,wookayin/gpustat,,gpu-utilities,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43.000000,2021-01-02 06:06:24.000000,2020-05-19 04:45:47.000000,183.0,20.0,45.0,2170,165.0,A simple command-line utility for querying and monitoring GPU status.,10.0,26,True,2019-07-22 06:37:00.000000,0.6.0,11.0,gpustat,conda-forge/gpustat,,,,601.0,543.0,https://pypi.org/project/gpustat,2021-01-02 05:59:41.000000,58.0,129607.0,129892.0,https://anaconda.org/conda-forge/gpustat,2020-11-24 19:59:04.772000,6287.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n271,Core ML Tools,apple/coremltools,,model-serialisation,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000000,2021-01-08 00:25:50.000000,2021-01-05 23:33:20.000000,319.0,297.0,304.0,2070,850.0,\"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.\",107.0,26,True,2020-10-10 18:21:00.000000,4.0,27.0,coremltools,,,,,573.0,440.0,https://pypi.org/project/coremltools,2020-10-10 18:16:12.000000,133.0,40060.0,40117.0,,,,,,,,2.0,2307.0,,,,,,,,,,,,,,,,,,,\n272,Cufflinks,santosjorge/cufflinks,,data-viz,https://github.com/santosjorge/cufflinks,https://github.com/santosjorge/cufflinks,MIT,2014-11-19 20:59:33.000000,2020-10-07 16:12:54.000000,2020-10-07 16:12:53.000000,502.0,79.0,119.0,2041,450.0,Productivity Tools for Plotly + Pandas.,37.0,26,True,2020-03-01 17:42:01.000000,0.17.3,27.0,cufflinks,,,,['pandas'],2721.0,2487.0,https://pypi.org/project/cufflinks,2020-03-01 17:42:01.000000,234.0,50499.0,50499.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n273,aubio,aubio/aubio,,audio,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44.000000,2020-12-07 11:14:34.000000,2020-07-02 17:03:56.000000,292.0,104.0,171.0,2010,4109.0,a library for audio and music analysis.,24.0,26,False,2019-02-27 09:00:43.000000,0.4.9,10.0,aubio,conda-forge/aubio,,,,217.0,201.0,https://pypi.org/project/aubio,2019-02-08 11:21:02.000000,16.0,1581.0,9770.0,https://anaconda.org/conda-forge/aubio,2020-10-13 12:09:18.538000,376717.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n274,Jina,jina-ai/jina,,nlp,https://github.com/jina-ai/jina,https://github.com/jina-ai/jina,Apache-2.0,2020-02-13 17:04:44.000000,2021-01-08 00:02:44.368633,2021-01-07 23:57:05.000000,314.0,50.0,528.0,1828,4379.0,An easier way to build neural search in the cloud.,81.0,26,True,2021-01-05 20:14:45.000000,0.9.2,113.0,jina,,jinaai/jina,,,43.0,43.0,https://pypi.org/project/jina,2021-01-05 20:09:03.000000,,1619.0,7670.0,,,,https://hub.docker.com/r/jinaai/jina,2021-01-08 00:02:44.368633,,66564.0,2.0,,,,,,,,,,,,,,,,,,,,\n275,BoTorch,pytorch/botorch,,hyperopt,https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000000,2021-01-07 21:26:24.000000,2021-01-07 21:26:15.000000,172.0,40.0,111.0,1806,799.0,Bayesian optimization in PyTorch.,50.0,26,True,2020-12-08 06:47:25.000000,0.3.3,16.0,botorch,,,,['pytorch'],72.0,72.0,https://pypi.org/project/botorch,2020-12-08 06:47:25.000000,0.0,27122.0,27122.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n276,PyFunctional,EntilZha/PyFunctional,,data-pipelines,https://github.com/EntilZha/PyFunctional,https://github.com/EntilZha/PyFunctional,MIT,2015-02-05 17:17:51.000000,2021-01-04 17:28:02.000000,2020-12-28 17:25:44.000000,96.0,3.0,115.0,1761,515.0,Python library for creating data pipelines with chain functional programming.,23.0,26,True,2020-09-17 13:36:04.000000,1.4.2,13.0,pyfunctional,,,,,246.0,246.0,https://pypi.org/project/pyfunctional,2020-09-17 13:36:04.000000,0.0,32021.0,32021.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n277,Foolbox,bethgelab/foolbox,,adversarial,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48.000000,2020-12-20 18:06:33.000000,2020-12-20 18:05:23.000000,314.0,41.0,262.0,1757,1637.0,\"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.\",30.0,26,True,2020-09-26 06:49:13.000000,3.2.1,66.0,foolbox,,,,,180.0,162.0,https://pypi.org/project/foolbox,2020-09-26 06:49:13.000000,18.0,1126.0,1126.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n278,facenet-pytorch,timesler/facenet-pytorch,,image,https://github.com/timesler/facenet-pytorch,https://github.com/timesler/facenet-pytorch,MIT,2019-05-25 01:29:24.000000,2020-11-19 06:56:24.000000,2020-11-19 06:56:23.000000,371.0,24.0,84.0,1744,229.0,Pretrained Pytorch face detection (MTCNN) and recognition (InceptionResnet) models.,11.0,26,True,2020-11-19 06:49:36.000000,2.5.1,30.0,facenet-pytorch,,,,['pytorch'],243.0,240.0,https://pypi.org/project/facenet-pytorch,2020-11-19 06:49:36.000000,3.0,4527.0,8171.0,,,,,,,,2.0,51025.0,,,,,,,,,,,,,,,,,,,\n279,langid,saffsd/langid.py,,nlp,https://github.com/saffsd/langid.py,https://github.com/saffsd/langid.py,BSD-3-Clause,2011-04-29 00:16:56.000000,2020-01-01 10:49:30.000000,2017-07-15 02:49:17.000000,265.0,25.0,45.0,1700,242.0,Stand-alone language identification system.,9.0,26,False,2016-04-05 22:34:15.000000,1.1.6,8.0,langid,,,,,830.0,580.0,https://pypi.org/project/langid,2016-04-05 22:34:15.000000,250.0,492864.0,492864.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n280,efficientnet,qubvel/efficientnet,,others,https://github.com/qubvel/efficientnet,https://github.com/qubvel/efficientnet,Apache-2.0,2019-05-30 20:21:09.000000,2020-12-10 07:02:58.000000,2020-09-15 16:19:36.000000,369.0,49.0,54.0,1643,64.0,Implementation of EfficientNet model. Keras and TensorFlow Keras.,8.0,26,True,2020-09-15 16:26:00.000000,1.1.1,9.0,efficientnet,,,,['tensorflow'],478.0,476.0,https://pypi.org/project/efficientnet,2020-09-15 16:26:00.000000,2.0,85443.0,92348.0,,,,,,,,2.0,138107.0,,,,,,,,,,,,,,,,,,,\n281,tesserocr,sirfz/tesserocr,,ocr,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36.000000,2020-12-31 09:45:57.000000,2020-11-17 19:55:36.000000,185.0,60.0,141.0,1378,151.0,A Python wrapper for the tesseract-ocr API.,23.0,26,True,2020-03-17 17:45:44.000000,2.5.1,15.0,tesserocr,conda-forge/tesserocr,,,,494.0,444.0,https://pypi.org/project/tesserocr,2020-03-17 17:45:44.000000,50.0,28033.0,30116.0,https://anaconda.org/conda-forge/tesserocr,2020-10-14 10:27:18.734000,31248.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n282,AWS Data Wrangler,awslabs/aws-data-wrangler,,db-clients,https://github.com/awslabs/aws-data-wrangler,https://github.com/awslabs/aws-data-wrangler,Apache-2.0,2019-02-26 01:39:02.000000,2021-01-07 20:09:33.000000,2021-01-07 20:09:28.000000,211.0,35.0,245.0,1330,1188.0,Pandas on AWS.,56.0,26,True,2020-12-23 00:05:46.000000,2.2.0,104.0,awswrangler,,,,['pandas'],,,https://pypi.org/project/awswrangler,2020-12-22 23:58:01.000000,,510467.0,511568.0,,,,,,,,3.0,19823.0,,,,,,,,,,,,,,,,,,,\n283,TFX,tensorflow/tfx,,data-pipelines,https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000000,2021-01-08 01:50:50.000000,2021-01-08 01:35:12.000000,368.0,200.0,302.0,1277,2992.0,TFX is an end-to-end platform for deploying production ML pipelines.,96.0,26,True,2021-01-06 16:58:17.000000,0.26.0,38.0,tfx,,,,['tensorflow'],4.0,,https://pypi.org/project/tfx,2021-01-06 21:34:50.000000,4.0,106258.0,106258.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n284,agate,wireservice/agate,,others,https://github.com/wireservice/agate,https://github.com/wireservice/agate,MIT,2014-04-25 13:59:09.000000,2020-12-30 20:43:14.000000,2020-04-01 15:40:18.000000,132.0,54.0,588.0,1025,1355.0,A Python data analysis library that is optimized for humans instead of machines.,47.0,26,True,2018-03-11 14:37:30.000000,1.6.1,24.0,agate,conda-forge/agate,,,,568.0,476.0,https://pypi.org/project/agate,2018-03-11 14:37:30.000000,92.0,154063.0,155318.0,https://anaconda.org/conda-forge/agate,2018-08-19 06:02:58.597000,59026.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n285,cx-Oracle,oracle/python-cx_Oracle,,db-clients,https://github.com/oracle/python-cx_Oracle,https://github.com/oracle/python-cx_Oracle,BSD-3-Clause,2017-03-07 04:03:36.000000,2021-01-05 18:23:20.000000,2021-01-05 18:23:11.000000,243.0,33.0,464.0,692,1079.0,Python interface to Oracle Database conforming to the Python DB API 2.0 specification.,16.0,26,True,2020-12-08 21:31:48.000000,8.1.0,32.0,cx-Oracle,,,,,144.0,,https://pypi.org/project/cx-Oracle,2020-12-08 21:31:48.000000,144.0,980087.0,980087.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n286,dask-ml,dask/dask-ml,,distributed-ml,https://github.com/dask/dask-ml,https://github.com/dask/dask-ml,BSD-3-Clause,2017-06-15 15:56:06.000000,2021-01-06 13:44:21.000000,2021-01-05 22:11:00.000000,180.0,173.0,201.0,682,750.0,Scalable Machine Learning with Dask.,61.0,26,True,2020-09-24 19:34:38.000000,1.7.0,26.0,dask-ml,conda-forge/dask-ml,,,,364.0,322.0,https://pypi.org/project/dask-ml,2020-09-24 19:34:38.000000,42.0,38700.0,43489.0,https://anaconda.org/conda-forge/dask-ml,2020-09-24 21:21:37.412000,186773.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n287,TensorFlow Text,tensorflow/text,,nlp,https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000000,2021-01-05 14:45:52.000000,2021-01-05 14:34:41.000000,85.0,40.0,84.0,676,317.0,Making text a first-class citizen in TensorFlow.,30.0,26,True,2020-12-23 03:10:06.000000,2.4.2,31.0,tensorflow-text,,,,['tensorflow'],399.0,395.0,https://pypi.org/project/tensorflow-text,2020-12-22 23:55:15.000000,4.0,161017.0,161017.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n288,PyVista,pyvista/pyvista,,data-viz,https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000000,2021-01-07 18:27:47.000000,2021-01-01 21:52:20.000000,132.0,114.0,262.0,642,2046.0,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,48.0,26,True,2020-12-10 16:30:09.000000,0.27.4,32.0,pyvista,conda-forge/pyvista,,,['jupyter'],253.0,227.0,https://pypi.org/project/pyvista,2020-12-10 16:30:09.000000,26.0,7870.0,10494.0,https://anaconda.org/conda-forge/pyvista,2020-12-10 19:09:38.280000,52487.0,,,,,3.0,37.0,,,,,,,,,,,,,,,,,,,\n289,zarr,zarr-developers/zarr-python,,data-containers,https://github.com/zarr-developers/zarr-python,https://github.com/zarr-developers/zarr-python,MIT,2015-12-15 14:49:40.000000,2021-01-07 23:11:23.000000,2021-01-04 03:08:50.000000,102.0,176.0,228.0,616,1374.0,\"An implementation of chunked, compressed, N-dimensional arrays for Python.\",35.0,26,True,2020-10-06 19:59:05.000000,2.5.0,31.0,zarr,conda-forge/zarr,,,,582.0,510.0,https://pypi.org/project/zarr,2020-12-02 18:33:13.000000,72.0,17792.0,26962.0,https://anaconda.org/conda-forge/zarr,2020-12-03 02:31:13.848000,513555.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n290,Mesh,tensorflow/mesh,,distributed-ml,https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34.000000,2021-01-07 23:57:24.000000,2021-01-07 23:57:13.000000,113.0,72.0,12.0,609,572.0,Mesh TensorFlow: Model Parallelism Made Easier.,38.0,26,True,2020-12-17 23:10:07.000000,0.1.18,24.0,mesh-tensorflow,,,,['tensorflow'],505.0,477.0,https://pypi.org/project/mesh-tensorflow,2020-12-17 23:10:07.000000,28.0,99337.0,99337.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n291,SMAC3,automl/SMAC3,,hyperopt,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-3-Clause,2016-08-17 10:58:05.000000,2021-01-06 23:00:54.000000,2020-10-29 10:14:55.000000,153.0,76.0,250.0,551,1888.0,Sequential Model-based Algorithm Configuration.,30.0,26,True,2020-10-29 10:57:56.000000,0.13.1,29.0,smac,,,,,58.0,,https://pypi.org/project/smac,2020-10-29 10:57:56.000000,58.0,8991.0,8991.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n292,cloudant,cloudant/python-cloudant,,db-clients,https://github.com/cloudant/python-cloudant,https://github.com/cloudant/python-cloudant,Apache-2.0,2015-08-28 16:22:49.000000,2021-01-07 21:25:43.000000,2020-11-25 17:20:12.000000,45.0,39.0,240.0,157,802.0,A Python library for Cloudant and CouchDB.,27.0,26,True,2020-08-18 12:14:54.000000,2.14.0,46.0,cloudant,conda-forge/cloudant,,,,1804.0,1270.0,https://pypi.org/project/cloudant,2020-08-18 11:22:22.000000,534.0,40475.0,41836.0,https://anaconda.org/conda-forge/cloudant,2019-05-18 03:07:25.357000,70810.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n293,MMDetection,open-mmlab/mmdetection,,image,https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000000,2021-01-07 14:06:00.000000,2021-01-06 12:15:32.000000,4513.0,322.0,2895.0,13187,1378.0,OpenMMLab Detection Toolbox and Benchmark.,182.0,25,True,2021-01-04 02:43:20.000000,2.8.0,8.0,,,,,['pytorch'],18.0,18.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n294,NuPIC,numenta/nupic,,ml-frameworks,https://github.com/numenta/nupic,https://github.com/numenta/nupic,AGPL-3.0,2013-04-05 23:14:27.000000,2020-12-11 19:56:36.000000,2019-10-23 20:45:07.000000,1585.0,456.0,1337.0,6191,6625.0,\"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..\",120.0,25,False,2018-06-01 15:37:54.000000,1.0.5,53.0,nupic,,,,,127.0,89.0,https://pypi.org/project/nupic,2018-06-01 15:37:54.000000,38.0,1449.0,1449.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n295,Trax,google/trax,,others,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000000,2021-01-07 17:44:04.000000,2021-01-07 05:21:48.000000,512.0,53.0,99.0,5513,1243.0,Trax Deep Learning with Clear Code and Speed.,56.0,25,True,2020-12-18 17:22:13.000000,1.3.7,20.0,trax,,,,,16.0,16.0,https://pypi.org/project/trax,2020-12-18 17:22:13.000000,,3229.0,3229.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n296,CleverHans,cleverhans-lab/cleverhans,,adversarial,https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04.000000,2020-12-09 17:37:00.000000,2020-07-09 02:26:15.000000,1209.0,75.0,373.0,4875,3001.0,\"An adversarial example library for constructing attacks, building defenses, and benchmarking both.\",108.0,25,True,2018-11-27 17:36:15.000000,3.0.1,6.0,cleverhans,,,,['tensorflow'],183.0,175.0,https://pypi.org/project/cleverhans,2018-11-27 17:36:15.000000,8.0,475.0,475.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n297,Milvus,milvus-io/milvus,,nn-search,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000000,2021-01-07 11:11:35.000000,2021-01-06 03:52:37.000000,752.0,227.0,1849.0,4864,6158.0,\"An open source embedding vector similarity search engine powered by Faiss, NMSLIB and Annoy.\",141.0,25,True,2021-01-07 11:11:35.000000,0.10.5,43.0,pymilvus,,milvusdb/milvus,,,6.0,,https://pypi.org/project/pymilvus,2020-10-16 13:11:09.000000,6.0,5547.0,18829.0,,,,https://hub.docker.com/r/milvusdb/milvus,2021-01-06 06:23:42.478311,9.0,212522.0,2.0,,,,,,,,,,,,,,,,,,,,\n298,Augmentor,mdbloice/Augmentor,,image,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55.000000,2020-11-10 05:20:01.000000,2020-03-09 11:32:02.000000,777.0,115.0,67.0,4273,511.0,Image augmentation library in Python for machine learning.,22.0,25,True,2020-01-17 11:59:53.000000,0.2.8,20.0,Augmentor,,,,,316.0,274.0,https://pypi.org/project/Augmentor,2020-01-17 11:59:53.000000,42.0,2774.0,2774.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n299,pyAudioAnalysis,tyiannak/pyAudioAnalysis,,audio,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13.000000,2021-01-04 18:37:44.000000,2021-01-04 18:37:38.000000,926.0,158.0,103.0,3667,675.0,\"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.\",23.0,25,True,2020-09-29 21:30:02.000000,0.3.6,15.0,pyAudioAnalysis,,,,,185.0,174.0,https://pypi.org/project/pyAudioAnalysis,2020-09-29 21:30:02.000000,11.0,7308.0,7308.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n300,pyfolio,quantopian/pyfolio,,financial-data,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39.000000,2020-07-29 16:06:37.000000,2020-07-15 13:46:58.000000,1021.0,119.0,263.0,3373,1184.0,Portfolio and risk analytics in Python.,55.0,25,True,2019-04-15 14:54:03.000000,0.9.1,21.0,pyfolio,conda-forge/pyfolio,,,,216.0,189.0,https://pypi.org/project/pyfolio,2019-04-15 14:54:03.000000,27.0,6995.0,7149.0,https://anaconda.org/conda-forge/pyfolio,2020-05-16 14:11:57.267000,5390.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n301,espnet,espnet/espnet,,audio,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000000,2021-01-07 22:24:55.000000,2021-01-07 21:59:24.000000,1013.0,111.0,1023.0,3288,10334.0,End-to-End Speech Processing Toolkit.,135.0,25,True,2020-12-01 12:18:22.000000,0.9.6,31.0,espnet,,,,,4.0,4.0,https://pypi.org/project/espnet,2020-12-01 12:18:22.000000,0.0,1271.0,1272.0,,,,,,,,3.0,59.0,,,,,,,,,,,,,,,,,,,\n302,yellowbrick,DistrictDataLabs/yellowbrick,,interpretability,https://github.com/DistrictDataLabs/yellowbrick,https://github.com/DistrictDataLabs/yellowbrick,Apache-2.0,2016-05-18 14:12:17.000000,2020-12-29 16:30:19.000000,2020-12-29 16:28:56.000000,462.0,83.0,508.0,3059,829.0,Visual analysis and diagnostic tools to facilitate machine learning model selection.,95.0,25,True,2020-10-09 19:34:55.000000,1.2,19.0,yellowbrick,,,,['sklearn'],62.0,,https://pypi.org/project/yellowbrick,2020-10-09 19:35:00.000000,62.0,58930.0,58930.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n303,ftfy,LuminosoInsight/python-ftfy,,nlp,https://github.com/LuminosoInsight/python-ftfy,https://github.com/LuminosoInsight/python-ftfy,MIT,2012-08-24 16:14:59.000000,2020-08-21 18:13:12.000000,2020-07-17 21:21:57.000000,98.0,14.0,92.0,2869,510.0,\"Fixes mojibake and other glitches in Unicode text, after the fact.\",17.0,25,True,2020-02-18 16:42:00.000000,5.6.1,41.0,ftfy,conda-forge/ftfy,,,,3332.0,2572.0,https://pypi.org/project/ftfy,2020-07-20 21:50:51.000000,760.0,263412.0,265489.0,https://anaconda.org/conda-forge/ftfy,2019-02-03 00:23:45.610000,93474.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n304,Stable Baselines,hill-a/stable-baselines,,reinforcement-learning,https://github.com/hill-a/stable-baselines,https://github.com/hill-a/stable-baselines,MIT,2018-07-02 14:28:59.000000,2020-12-30 15:28:45.000000,2020-12-23 16:27:08.000000,552.0,117.0,708.0,2756,835.0,\"A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.\",110.0,25,True,2020-08-05 19:45:11.000000,2.10.1,30.0,stable-baselines,,,,,25.0,,https://pypi.org/project/stable-baselines,2020-08-05 19:42:14.000000,25.0,8135.0,8135.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n305,Pony,ponyorm/pony,,db-clients,https://github.com/ponyorm/pony,https://github.com/ponyorm/pony,Apache-2.0,2013-02-08 04:56:00.000000,2020-12-24 12:38:50.000000,2020-11-23 17:42:03.000000,189.0,235.0,299.0,2422,,Pony Object Relational Mapper.,20.0,25,True,2020-11-23 19:13:28.000000,0.7.14,44.0,pony,conda-forge/pony,,,,2177.0,1639.0,https://pypi.org/project/pony,2020-11-23 18:56:34.000000,538.0,18474.0,19375.0,https://anaconda.org/conda-forge/pony,2020-11-23 21:18:14.049000,43292.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n306,Neural Network Libraries,sony/nnabla,,ml-frameworks,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10.000000,2020-12-29 03:30:51.000000,2020-12-29 03:30:50.000000,303.0,35.0,18.0,2396,2227.0,Neural Network Libraries.,55.0,25,True,2020-12-24 02:44:34.000000,1.15.0,51.0,nnabla,,,,,34.0,,https://pypi.org/project/nnabla,2020-12-24 02:44:34.000000,34.0,2843.0,2855.0,,,,,,,,3.0,512.0,,,,,,,,,,,,,,,,,,,\n307,Captum,pytorch/captum,,interpretability,https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000000,2021-01-07 07:56:50.000000,2021-01-06 02:07:01.000000,192.0,44.0,130.0,2040,778.0,Model interpretability and understanding for PyTorch.,66.0,25,True,2020-11-13 23:52:08.000000,0.3.0,4.0,captum,,,,['pytorch'],99.0,99.0,https://pypi.org/project/captum,2020-11-13 20:23:21.000000,,7632.0,7632.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n308,fastNLP,fastnlp/fastNLP,,nlp,https://github.com/fastnlp/fastNLP,https://github.com/fastnlp/fastNLP,Apache-2.0,2018-03-07 13:30:20.000000,2020-12-16 10:04:23.000000,2020-11-23 10:50:37.000000,343.0,14.0,127.0,1960,1706.0,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,48.0,25,True,2020-11-06 15:31:29.000000,0.6.0,10.0,fastnlp,,,,,22.0,21.0,https://pypi.org/project/fastnlp,2019-02-04 02:35:37.000000,1.0,1134.0,1136.0,,,,,,,,2.0,54.0,,,,,,,,,,,,,,,,,,,\n309,TextDistance,life4/textdistance,,nlp,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10.000000,2020-12-31 21:07:32.000000,2020-04-13 10:34:26.000000,158.0,9.0,,1851,289.0,\"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..\",7.0,25,True,2020-04-13 10:17:59.000000,.4.2.0,20.0,textdistance,conda-forge/textdistance,,,,313.0,285.0,https://pypi.org/project/textdistance,2020-04-13 09:59:27.000000,28.0,101642.0,102126.0,https://anaconda.org/conda-forge/textdistance,2020-11-10 18:38:06.222000,15431.0,,,,,2.0,96.0,,,,,,,,,,,,,,,,,,,\n310,spark-nlp,JohnSnowLabs/spark-nlp,,nlp,https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000000,2021-01-07 19:42:39.000000,2021-01-07 15:35:43.000000,388.0,78.0,325.0,1810,5705.0,State of the Art Natural Language Processing.,73.0,25,True,2021-01-04 18:53:37.000000,2.7.0,71.0,spark-nlp,,,,['spark'],0.0,,https://pypi.org/project/spark-nlp,2021-01-04 18:05:17.000000,0.0,367303.0,367303.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n311,StellarGraph,stellargraph/stellargraph,,graph,https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51.000000,2021-01-03 15:01:25.000000,2020-07-21 04:03:09.000000,247.0,211.0,693.0,1710,2515.0,StellarGraph - Machine Learning on Graphs.,28.0,25,True,2020-06-30 05:15:21.000000,1.2.1,25.0,stellargraph,,,,['tensorflow'],43.0,41.0,https://pypi.org/project/stellargraph,2020-06-25 09:38:56.000000,2.0,6776.0,6776.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n312,HyperTools,ContextLab/hypertools,,data-viz,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25.000000,2021-01-06 14:11:39.000000,2021-01-06 14:11:38.000000,151.0,69.0,122.0,1603,1591.0,A Python toolbox for gaining geometric insights into high-dimensional data.,21.0,25,True,2020-10-02 21:38:16.000000,0.6.3,19.0,hypertools,,,,,99.0,90.0,https://pypi.org/project/hypertools,2020-10-02 21:41:53.000000,9.0,220.0,220.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n313,category_encoders,scikit-learn-contrib/category_encoders,,others,https://github.com/scikit-learn-contrib/category_encoders,https://github.com/scikit-learn-contrib/category_encoders,BSD-3-Clause,2015-11-29 19:32:37.000000,2020-11-10 15:17:22.000000,2020-07-31 10:43:44.000000,291.0,63.0,134.0,1545,671.0,A library of sklearn compatible categorical variable encoders.,34.0,25,True,2020-04-29 02:09:51.000000,2.2.2,19.0,category_encoders,conda-forge/category_encoders,,,['sklearn'],23.0,,https://pypi.org/project/category_encoders,2018-10-14 14:15:54.000000,23.0,237187.0,238872.0,https://anaconda.org/conda-forge/category_encoders,2020-04-29 22:37:35.948000,91015.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n314,Pythran,serge-sans-paille/pythran,,others,https://github.com/serge-sans-paille/pythran,https://github.com/serge-sans-paille/pythran,BSD-3-Clause,2012-05-29 08:02:14.000000,2021-01-06 19:29:17.000000,2021-01-06 06:16:14.000000,134.0,99.0,538.0,1495,3309.0,Ahead of Time compiler for numeric kernels.,47.0,25,True,2020-12-09 20:06:55.000000,0.9.8,44.0,pythran,conda-forge/pythran,,,,60.0,47.0,https://pypi.org/project/pythran,2020-12-11 23:02:35.000000,13.0,3758.0,7521.0,https://anaconda.org/conda-forge/pythran,2020-12-15 13:25:04.645000,120442.0,,,,,2.0,,,,,,,,,,,,,,,pythran,python-pythran,,,,\n315,swifter,jmcarpenter2/swifter,,data-containers,https://github.com/jmcarpenter2/swifter,https://github.com/jmcarpenter2/swifter,MIT,2018-04-07 21:37:19.000000,2020-12-19 19:11:45.000000,2020-12-19 19:11:44.000000,69.0,14.0,76.0,1494,423.0,A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner.,14.0,25,True,2020-10-11 22:42:57.000000,1.0.7,71.0,swifter,conda-forge/swifter,,,['pandas'],286.0,270.0,https://pypi.org/project/swifter,2020-10-11 22:42:57.000000,16.0,50932.0,54409.0,https://anaconda.org/conda-forge/swifter,2020-09-20 15:08:56.885000,73031.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n316,streamparse,Parsely/streamparse,,data-pipelines,https://github.com/Parsely/streamparse,https://github.com/Parsely/streamparse,Apache-2.0,2014-05-02 20:33:50.000000,2020-12-18 18:44:04.000000,2020-12-18 18:43:59.000000,219.0,69.0,263.0,1424,1059.0,\"Run Python in Apache Storm topologies. Pythonic API, CLI tooling, and a topology DSL.\",40.0,25,True,2020-10-07 19:53:15.000000,4.0.0,47.0,streamparse,,,,,72.0,46.0,https://pypi.org/project/streamparse,2020-10-07 19:45:19.000000,26.0,1598.0,1598.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n317,chainercv,chainer/chainercv,,image,https://github.com/chainer/chainercv,https://github.com/chainer/chainercv,MIT,2017-02-13 04:15:10.000000,2020-02-03 01:27:17.000000,2020-01-07 11:48:31.000000,318.0,54.0,168.0,1416,4930.0,ChainerCV: a Library for Deep Learning in Computer Vision.,39.0,25,True,2019-06-12 11:55:02.000000,0.13.1,23.0,chainercv,,,,,234.0,210.0,https://pypi.org/project/chainercv,2019-05-31 08:53:39.000000,24.0,3615.0,3615.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n318,jellyfish,jamesturk/jellyfish,,nlp,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,BSD-2-Clause,2010-07-09 20:41:11.000000,2020-12-30 16:47:14.000000,2020-12-30 16:47:13.000000,118.0,9.0,86.0,1381,,a python library for doing approximate and phonetic matching of strings.,20.0,25,True,2020-05-21 20:37:01.000000,0.8.2,27.0,jellyfish,conda-forge/jellyfish,,,,2634.0,1988.0,https://pypi.org/project/jellyfish,2020-05-21 20:37:01.000000,646.0,767669.0,769702.0,https://anaconda.org/conda-forge/jellyfish,2020-10-10 13:37:43.217000,105728.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n319,Ax,facebook/Ax,,hyperopt,https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000000,2021-01-07 21:24:42.000000,2021-01-07 21:24:35.000000,140.0,35.0,176.0,1362,898.0,Adaptive Experimentation Platform.,91.0,25,True,2020-12-08 19:07:48.000000,0.1.19,20.0,ax-platform,,,,['pytorch'],120.0,116.0,https://pypi.org/project/ax-platform,2020-12-08 19:07:48.000000,4.0,15829.0,15829.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n320,TNT,pytorch/tnt,,ml-experiments,https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58.000000,2021-01-05 19:36:18.000000,2021-01-05 19:36:17.000000,184.0,30.0,34.0,1266,156.0,\"Simple tools for logging and visualizing, loading and training.\",35.0,25,True,2019-11-15 12:57:59.000000,0.0.5.1,3.0,torchnet,,,,['pytorch'],554.0,504.0,https://pypi.org/project/torchnet,2018-07-29 23:16:03.000000,50.0,10461.0,10461.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n321,haystack,deepset-ai/haystack,,nlp,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000000,2021-01-07 20:42:03.000000,2021-01-06 14:56:19.000000,214.0,53.0,353.0,1236,479.0,Transformers at scale for question answering & neural search. Using NLP via a modular Retriever-Reader-Pipeline...,28.0,25,True,2020-12-17 06:53:05.000000,0.6.0,34.0,haystack,,,,,99.0,25.0,https://pypi.org/project/haystack,2017-07-03 04:44:52.000000,74.0,3288.0,3288.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n322,ViZDoom,mwydmuch/ViZDoom,,reinforcement-learning,https://github.com/mwydmuch/ViZDoom,https://github.com/mwydmuch/ViZDoom,MIT,2015-06-26 18:38:23.000000,2020-12-16 10:27:24.000000,2020-12-16 10:26:56.000000,277.0,88.0,327.0,1147,1459.0,Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information.,43.0,25,True,2020-10-29 15:54:47.000000,1.1.8,19.0,vizdoom,,,,,110.0,98.0,https://pypi.org/project/vizdoom,2020-10-29 15:56:20.000000,12.0,396.0,573.0,,,,,,,,2.0,10319.0,,,,,,,,,,,,,,,,,,,\n323,ArcGIS API,Esri/arcgis-python-api,,geospatial-data,https://github.com/Esri/arcgis-python-api,https://github.com/Esri/arcgis-python-api,Apache-2.0,2016-03-16 01:09:14.000000,2021-01-07 12:34:13.000000,2021-01-06 14:04:59.000000,676.0,125.0,191.0,933,2864.0,Documentation and samples for ArcGIS API for Python.,60.0,25,True,2020-12-15 21:49:37.000000,1.8.3,25.0,arcgis,,esridocker/arcgis-api-python-notebook,,,10.0,,https://pypi.org/project/arcgis,2020-11-30 16:13:47.000000,10.0,19085.0,19147.0,,,,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,2020-03-06 00:53:45.164342,29.0,3616.0,3.0,,,,,,,,,,,,,,,,,,,,\n324,empyrical,quantopian/empyrical,,financial-data,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52.000000,2020-10-14 13:28:13.625000,2020-10-14 13:22:39.000000,216.0,27.0,26.0,679,167.0,Common financial risk and performance metrics. Used by zipline and pyfolio.,22.0,25,True,2020-10-13 21:28:25.000000,0.5.5,20.0,empyrical,conda-forge/empyrical,,,,712.0,490.0,https://pypi.org/project/empyrical,2020-10-13 17:31:37.000000,222.0,23614.0,23869.0,https://anaconda.org/conda-forge/empyrical,2020-10-14 13:28:13.625000,8955.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n325,Satpy,pytroll/satpy,,geospatial-data,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000000,2021-01-07 16:12:32.000000,2021-01-07 02:54:17.000000,191.0,298.0,285.0,663,8124.0,Python package for earth-observing satellite data processing.,103.0,25,False,2021-01-07 03:03:07.000000,0.25.1,63.0,satpy,conda-forge/satpy,,,,43.0,37.0,https://pypi.org/project/satpy,2021-01-07 03:03:07.000000,6.0,488.0,2199.0,https://anaconda.org/conda-forge/satpy,2021-01-07 15:09:16.887000,51358.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n326,CLTK,cltk/cltk,,nlp,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000000,2021-01-04 02:42:46.000000,2021-01-02 19:14:02.000000,297.0,125.0,357.0,628,2771.0,The Classical Language Toolkit.,107.0,25,True,2020-06-22 06:03:33.000000,0.1.121,160.0,cltk,,,,,216.0,148.0,https://pypi.org/project/cltk,2021-01-01 18:03:05.000000,68.0,1099.0,1099.0,,,,,,,,2.0,22.0,,,,,,,,,,,,,,,,,,,\n327,TensorFlow I/O,tensorflow/io,,tensorflow-utils,https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05.000000,2021-01-07 23:24:08.000000,2021-01-07 20:38:53.000000,144.0,110.0,271.0,400,1332.0,\"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.\",71.0,25,True,2020-12-15 00:45:37.000000,0.17.0,21.0,tensorflow-io,,,,['tensorflow'],89.0,89.0,https://pypi.org/project/tensorflow-io,2020-12-15 00:42:35.000000,0.0,42917.0,42917.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n328,mpi4py,mpi4py/mpi4py,,distributed-ml,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-3-Clause,2013-09-05 14:44:25.000000,2021-01-06 15:25:36.000000,2021-01-06 15:25:03.000000,61.0,1.0,3.0,367,2180.0,Python bindings for MPI.,13.0,25,True,2020-07-27 06:40:19.000000,3.0.3,13.0,mpi4py,conda-forge/mpi4py,,,,700.0,,https://pypi.org/project/mpi4py,2019-11-04 13:05:10.000000,700.0,140625.0,150250.0,https://anaconda.org/conda-forge/mpi4py,2020-12-31 10:42:55.938000,495290.0,,,,,2.0,606.0,,,,,,,,,,,,,,,,,,,\n329,python-soundfile,bastibe/python-soundfile,,audio,https://github.com/bastibe/python-soundfile,https://github.com/bastibe/python-soundfile,BSD-3-Clause,2013-08-27 13:36:52.000000,2020-12-02 15:07:22.000000,2020-12-01 18:42:47.000000,41.0,57.0,85.0,349,493.0,\"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.\",19.0,25,True,2019-12-04 10:03:39.000000,0.10.3post1,7.0,soundfile,,,,,5908.0,5168.0,https://pypi.org/project/soundfile,2018-04-19 07:13:19.000000,740.0,369439.0,369462.0,,,,,,,,3.0,1976.0,,,,,,,,,,,,,,,,,,,\n330,hvPlot,holoviz/hvplot,,data-viz,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000000,2021-01-06 23:26:19.353000,2021-01-06 17:31:35.000000,49.0,97.0,215.0,332,361.0,\"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.\",22.0,25,True,2020-12-16 22:59:26.000000,0.7.0,9.0,hvplot,conda-forge/hvplot,,,,436.0,421.0,https://pypi.org/project/hvplot,2020-06-02 00:27:18.000000,15.0,53707.0,55635.0,https://anaconda.org/conda-forge/hvplot,2021-01-06 23:26:19.353000,55913.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n331,PaddleOCR,PaddlePaddle/PaddleOCR,,ocr,https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000000,2021-01-08 00:36:39.000000,2021-01-07 13:45:55.000000,1609.0,309.0,783.0,8246,,\"Awesome multilingual OCR toolkits based on PaddlePaddle practical ultra lightweight OCR system, provide data..\",41.0,24,True,2020-12-18 04:01:23.000000,2.0.2,10.0,paddleocr,,,,['paddle'],18.0,18.0,https://pypi.org/project/paddleocr,2020-12-18 04:01:23.000000,0.0,1572.0,1572.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n332,pysc2,deepmind/pysc2,,others,https://github.com/deepmind/pysc2,https://github.com/deepmind/pysc2,Apache-2.0,2017-07-25 18:16:57.000000,2020-07-29 16:22:31.000000,2019-09-27 15:23:22.000000,1061.0,48.0,202.0,7144,513.0,StarCraft II Learning Environment.,34.0,24,False,2019-09-27 15:48:01.000000,3.0.0,7.0,pysc2,,,,,238.0,218.0,https://pypi.org/project/pysc2,2019-09-27 15:48:01.000000,20.0,619.0,1237.0,,,,,,,,2.0,25354.0,,,,,,,,,,,,,,,,,,,\n333,ParlAI,facebookresearch/ParlAI,,nlp,https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44.000000,2021-01-08 00:04:38.000000,2021-01-07 20:06:40.000000,1381.0,111.0,817.0,6886,3577.0,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,137.0,24,True,2020-12-16 23:15:51.000000,0.10.0,12.0,parlai,,,,['pytorch'],5.0,5.0,https://pypi.org/project/parlai,2020-12-16 23:15:51.000000,,827.0,827.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n334,PyText,facebookresearch/pytext,,nlp,https://github.com/facebookresearch/pytext,https://github.com/facebookresearch/pytext,BSD-3-Clause,2018-07-31 23:40:46.000000,2021-01-07 22:28:27.000000,2021-01-07 22:28:19.000000,759.0,115.0,74.0,6109,1345.0,A natural language modeling framework based on PyTorch.,148.0,24,True,2020-06-08 23:30:58.000000,0.3.3,12.0,pytext-nlp,,,,['pytorch'],53.0,52.0,https://pypi.org/project/pytext-nlp,2020-04-27 08:09:25.000000,1.0,317.0,325.0,,,,,,,,3.0,212.0,,,,,,,,,,,,,,,,,,,\n335,stanza,stanfordnlp/stanza,,nlp,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56.000000,2021-01-07 17:57:46.000000,2020-12-29 18:00:47.000000,625.0,56.0,375.0,5074,1515.0,Official Stanford NLP Python Library for Many Human Languages.,28.0,24,True,2020-08-13 06:26:20.000000,1.1.1,9.0,stanza,stanfordnlp/stanza,,,,2.0,,https://pypi.org/project/stanza,2020-08-13 06:08:07.000000,2.0,13195.0,13487.0,https://anaconda.org/stanfordnlp/stanza,2020-08-13 06:22:54.550000,2926.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n336,Edward,blei-lab/edward,,probabilistics,https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05.000000,2019-10-22 20:30:48.000000,2018-07-25 01:28:08.000000,767.0,212.0,327.0,4590,1796.0,\"A probabilistic programming language in TensorFlow. Deep generative models, variational inference.\",87.0,24,False,2018-01-22 06:03:37.000000,1.3.5,28.0,edward,,,,['tensorflow'],241.0,204.0,https://pypi.org/project/edward,2018-01-22 06:03:05.000000,37.0,909.0,909.0,,,,,,,,3.0,10.0,,,,,,,,,,,,,,,,,,,\n337,PyTorch3D,facebookresearch/pytorch3d,,image,https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,MIT,2019-10-25 02:23:45.000000,2021-01-07 23:40:19.000000,2021-01-07 23:40:11.000000,457.0,56.0,397.0,4193,351.0,PyTorch3D is FAIR's library of reusable components for deep learning with 3D data.,50.0,24,True,2020-11-12 10:28:29.000000,0.3.0,6.0,pytorch3d,pytorch3d/pytorch3d,,,['pytorch'],39.0,39.0,https://pypi.org/project/pytorch3d,2020-11-12 10:28:29.000000,,4441.0,4827.0,https://anaconda.org/pytorch3d/pytorch3d,2020-11-12 10:28:27.832000,5405.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n338,Lucid,tensorflow/lucid,,interpretability,https://github.com/tensorflow/lucid,https://github.com/tensorflow/lucid,Apache-2.0,2018-01-25 17:41:44.000000,2020-12-14 12:53:11.000000,2020-11-24 20:56:27.000000,548.0,67.0,93.0,4023,632.0,A collection of infrastructure and tools for research in neural network interpretability.,34.0,24,True,2019-01-17 19:46:43.000000,0.3.9-alpha,16.0,lucid,,,,['tensorflow'],396.0,390.0,https://pypi.org/project/lucid,2018-12-20 00:26:11.000000,6.0,568.0,568.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n339,BigDL,intel-analytics/BigDL,,distributed-ml,https://github.com/intel-analytics/BigDL,https://github.com/intel-analytics/BigDL,Apache-2.0,2016-08-29 07:59:50.000000,2021-01-05 05:59:41.000000,2020-12-23 08:33:44.000000,900.0,178.0,727.0,3685,2657.0,BigDL: Distributed Deep Learning Framework for Apache Spark.,71.0,24,True,2021-01-05 05:55:32.000000,0.12.1,37.0,bigdl,,,,,27.0,21.0,https://pypi.org/project/bigdl,2020-12-29 06:08:45.000000,6.0,1009.0,1009.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,com.intel.analytics.bigdl:bigdl-SPARK_2.4,https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4,2020-12-05 03:54:47.000000,0.0\n340,TensorFlowOnSpark,yahoo/TensorFlowOnSpark,,distributed-ml,https://github.com/yahoo/TensorFlowOnSpark,https://github.com/yahoo/TensorFlowOnSpark,Apache-2.0,2017-01-20 18:15:57.000000,2020-12-23 22:10:27.000000,2020-12-21 19:10:28.000000,928.0,6.0,336.0,3613,589.0,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,33.0,24,True,2020-12-18 21:57:51.000000,2.2.2,29.0,tensorflowonspark,,,,\"['tensorflow', 'spark']\",5.0,,https://pypi.org/project/tensorflowonspark,2020-12-18 18:32:09.000000,5.0,58623.0,58623.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n341,torchdiffeq,rtqichen/torchdiffeq,,pytorch-utils,https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25.000000,2021-01-07 22:17:34.000000,2021-01-07 22:17:33.000000,557.0,15.0,108.0,3299,205.0,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,20.0,24,True,2020-09-16 23:32:05.000000,0.1.1,3.0,torchdiffeq,,,,['pytorch'],56.0,56.0,https://pypi.org/project/torchdiffeq,2020-09-16 23:32:05.000000,,1640.0,1640.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n342,T5,google-research/text-to-text-transfer-transformer,,nlp,https://github.com/google-research/text-to-text-transfer-transformer,https://github.com/google-research/text-to-text-transfer-transformer,Apache-2.0,2019-10-17 21:45:14.000000,2021-01-07 15:30:46.000000,2021-01-07 15:30:35.000000,409.0,38.0,280.0,3101,394.0,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,28.0,24,True,2020-12-18 21:12:02.000000,0.8.1,25.0,t5,,,,['tensorflow'],18.0,18.0,https://pypi.org/project/t5,2020-12-18 21:12:02.000000,0.0,6071.0,6071.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n343,pytorch-summary,sksq96/pytorch-summary,,pytorch-utils,https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04.000000,2020-09-11 22:33:42.000000,2020-08-07 01:16:40.000000,335.0,100.0,36.0,2860,56.0,Model summary in PyTorch similar to `model.summary()` in Keras.,11.0,24,True,2018-09-26 05:07:28.000000,1.5.1,12.0,torchsummary,,,,['pytorch'],1846.0,1728.0,https://pypi.org/project/torchsummary,2018-09-26 05:07:28.000000,118.0,35188.0,35188.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n344,TensorForce,tensorforce/tensorforce,,reinforcement-learning,https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22.000000,2020-12-30 11:17:02.000000,2020-12-30 11:16:54.000000,472.0,7.0,538.0,2833,2011.0,Tensorforce: a TensorFlow library for applied reinforcement learning.,76.0,24,True,2020-10-03 16:00:39.000000,0.6.2,12.0,tensorforce,,,,['tensorflow'],23.0,,https://pypi.org/project/tensorforce,2019-09-07 13:56:18.000000,23.0,904.0,904.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n345,Chartify,spotify/chartify,,data-viz,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05.000000,2020-12-25 03:48:39.000000,2020-11-02 22:11:04.000000,246.0,40.0,30.0,2801,186.0,Python library that makes it easy for data scientists to create charts.,19.0,24,True,2020-11-02 22:14:08.000000,3.0.3,16.0,chartify,conda-forge/chartify,,,,57.0,52.0,https://pypi.org/project/chartify,2020-11-02 22:14:08.000000,5.0,6076.0,6523.0,https://anaconda.org/conda-forge/chartify,2020-11-07 19:52:50.628000,11635.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n346,DeepChem,deepchem/deepchem,,others,https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000000,2020-12-30 15:15:21.000000,2020-12-29 03:48:58.000000,889.0,326.0,839.0,2637,6016.0,\"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.\",144.0,24,True,2019-10-11 01:49:20.000000,2.3.0,191.0,deepchem,,,,['tensorflow'],37.0,33.0,https://pypi.org/project/deepchem,2020-12-29 03:51:13.000000,4.0,1713.0,1713.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n347,DoWhy,Microsoft/dowhy,,interpretability,https://github.com/microsoft/dowhy,https://github.com/microsoft/dowhy,MIT,2018-05-31 13:07:04.000000,2020-12-24 16:07:22.000000,2020-12-24 16:07:21.000000,358.0,12.0,78.0,2573,418.0,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,37.0,24,True,2020-12-12 15:26:03.000000,0.5.1,5.0,dowhy,conda-forge/dowhy,,,,23.0,23.0,https://pypi.org/project/dowhy,2020-12-12 15:26:03.000000,,7984.0,8093.0,https://anaconda.org/conda-forge/dowhy,2020-12-13 07:46:12.761000,867.0,,,,,2.0,19.0,,,,,,,,,,,,,,,,,,,\n348,Sumy,miso-belica/sumy,,nlp,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48.000000,2020-11-21 17:08:35.000000,2020-11-21 17:08:33.000000,433.0,10.0,78.0,2458,397.0,Module for automatic summarization of text documents and HTML pages.,20.0,24,True,2019-05-19 14:39:21.000000,0.8.1,13.0,sumy,,,,,815.0,623.0,https://pypi.org/project/sumy,2019-05-19 14:38:29.000000,192.0,5766.0,5766.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n349,Arctic,man-group/arctic,,data-containers,https://github.com/man-group/arctic,https://github.com/man-group/arctic,LGPL-2.1,2015-05-29 13:37:30.000000,2020-12-28 16:10:11.000000,2020-12-28 16:10:10.000000,428.0,84.0,420.0,2129,1066.0,Arctic is a high performance datastore for numeric data.,70.0,24,False,2020-12-01 23:17:26.000000,1.79.4,83.0,arctic,conda-forge/arctic,,,,143.0,101.0,https://pypi.org/project/arctic,2020-12-01 23:16:12.000000,42.0,2383.0,2989.0,https://anaconda.org/conda-forge/arctic,2019-12-16 08:57:24.231000,12117.0,,,,,3.0,85.0,,,,,,,,,,,,,,,,,,,\n350,Hyperas,maxpumperla/hyperas,,hyperopt,https://github.com/maxpumperla/hyperas,https://github.com/maxpumperla/hyperas,MIT,2016-02-19 14:45:10.000000,2020-12-22 08:31:48.000000,2020-12-22 08:31:47.000000,296.0,88.0,158.0,2059,209.0,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,21.0,24,True,2019-02-28 09:16:54.000000,0.4.1,9.0,hyperas,,,,['tensorflow'],21.0,,https://pypi.org/project/hyperas,2019-02-28 09:16:54.000000,21.0,13042.0,13042.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n351,SRU,asappresearch/sru,,pytorch-utils,https://github.com/asappresearch/sru,https://github.com/asappresearch/sru,MIT,2017-08-28 20:37:41.000000,2021-01-07 01:21:32.000000,2020-12-17 19:36:53.000000,279.0,48.0,53.0,1863,378.0,Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755).,21.0,24,True,2020-12-17 19:40:55.000000,2.6.0-rc1,21.0,sru,,,,['pytorch'],16.0,15.0,https://pypi.org/project/sru,2020-12-17 19:41:19.000000,1.0,2172.0,2172.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n352,mongo-connector,yougov/mongo-connector,,db-clients,https://github.com/yougov/mongo-connector,https://github.com/yougov/mongo-connector,Apache-2.0,2012-08-09 23:39:36.000000,2020-08-03 08:07:40.000000,2018-12-05 18:23:06.000000,453.0,227.0,504.0,1760,1112.0,MongoDB data stream pipeline tools by YouGov (adopted from MongoDB).,62.0,24,False,2018-12-05 19:18:21.000000,3.1.1,51.0,mongo-connector,,,,,119.0,90.0,https://pypi.org/project/mongo-connector,2018-12-05 19:18:21.000000,29.0,2869.0,2869.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n353,polyglot,aboSamoor/polyglot,,nlp,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,GPL-3.0,2014-06-30 02:07:45.000000,2020-10-27 10:55:53.000000,2020-09-22 22:35:28.000000,292.0,132.0,62.0,1741,271.0,Multilingual text (NLP) processing toolkit.,26.0,24,False,2016-07-03 20:05:42.000000,16.7.4,8.0,polyglot,,,,,480.0,415.0,https://pypi.org/project/polyglot,2016-07-03 20:05:42.000000,65.0,39987.0,39987.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n354,Alphalens,quantopian/alphalens,,financial-data,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15.000000,2020-09-05 16:48:14.000000,2020-04-27 18:40:41.000000,617.0,38.0,144.0,1697,522.0,Performance analysis of predictive (alpha) stock factors.,25.0,24,True,2020-04-30 15:42:52.000000,0.4.0,10.0,alphalens,conda-forge/alphalens,,,,359.0,345.0,https://pypi.org/project/alphalens,2020-04-27 21:03:10.000000,14.0,1974.0,2264.0,https://anaconda.org/conda-forge/alphalens,2020-05-16 13:52:44.922000,10180.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n355,pgmpy,pgmpy/pgmpy,,probabilistics,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000000,2021-01-05 17:09:12.000000,2021-01-05 17:08:30.000000,557.0,225.0,490.0,1668,6.0,Python Library for learning (Structure and Parameter) and inference (Statistical and Causal) in Bayesian Networks.,88.0,24,True,2020-12-30 13:56:53.000000,0.1.13,12.0,pgmpy,,,,,186.0,174.0,https://pypi.org/project/pgmpy,2020-12-30 13:01:04.000000,12.0,22049.0,22054.0,,,,,,,,3.0,41.0,,,,,,,,,,,,,,,,,,,\n356,TorchServe,pytorch/serve,,model-serialisation,https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000000,2021-01-01 03:13:48.000000,2020-12-24 17:08:51.000000,217.0,130.0,393.0,1497,1034.0,Model Serving on PyTorch.,61.0,24,True,2020-12-18 01:38:41.000000,0.3.0,6.0,torchserve,pytorch/torchserve,pytorch/torchserve,,['pytorch'],26.0,26.0,https://pypi.org/project/torchserve,2020-12-17 19:04:04.000000,,1506.0,5449.0,https://anaconda.org/pytorch/torchserve,2020-12-17 18:30:12.593000,5681.0,https://hub.docker.com/r/pytorch/torchserve,2020-12-18 18:32:51.570336,3.0,49449.0,2.0,146.0,,,,,,,,,,,,,,,,,,,\n357,Elephas,maxpumperla/elephas,,distributed-ml,https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19.000000,2021-01-07 00:52:09.000000,2020-12-29 06:35:21.000000,286.0,51.0,80.0,1433,338.0,Distributed Deep learning with Keras & Spark.,25.0,24,True,2021-01-07 00:52:09.000000,0.4.5,11.0,elephas,,,,\"['keras', 'spark']\",3.0,,https://pypi.org/project/elephas,2021-01-07 00:52:09.000000,3.0,8673.0,8673.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n358,PyTextRank,DerwenAI/pytextrank,,nlp,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000000,2020-11-18 14:09:32.000000,2020-09-21 19:22:46.000000,280.0,15.0,37.0,1383,147.0,Python implementation of TextRank for phrase extraction and summarization of text documents.,10.0,24,True,2020-09-15 16:51:59.000000,2.0.3,10.0,pytextrank,,,,,125.0,119.0,https://pypi.org/project/pytextrank,2020-09-15 16:51:59.000000,6.0,11879.0,11879.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n359,mtcnn,ipazc/mtcnn,,image,https://github.com/ipazc/mtcnn,https://github.com/ipazc/mtcnn,MIT,2018-01-05 04:08:32.000000,2020-12-13 18:20:00.000000,2020-06-07 23:21:01.000000,363.0,51.0,36.0,1344,52.0,\"MTCNN face detection implementation for TensorFlow, as a PIP package.\",13.0,24,True,2019-11-14 17:37:05.000000,0.1.0,10.0,mtcnn,,,,['tensorflow'],822.0,801.0,https://pypi.org/project/mtcnn,2019-11-14 17:37:05.000000,21.0,13241.0,13241.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n360,Fairness 360,Trusted-AI/AIF360,,interpretability,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15.000000,2020-12-23 17:28:49.000000,2020-10-28 02:10:25.000000,382.0,35.0,46.0,1184,288.0,\"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..\",40.0,24,True,2020-06-02 22:59:53.000000,0.3.0,8.0,aif360,,,,,64.0,62.0,https://pypi.org/project/aif360,2020-06-02 22:49:24.000000,2.0,2600.0,2600.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n361,IB-insync,erdewit/ib_insync,,financial-data,https://github.com/erdewit/ib_insync,https://github.com/erdewit/ib_insync,BSD-2-Clause,2017-07-12 12:09:24.000000,2020-12-13 10:15:17.000000,2020-12-13 10:15:02.000000,374.0,3.0,277.0,1181,544.0,Python sync/async framework for Interactive Brokers API.,25.0,24,True,2020-11-03 13:37:57.000000,0.9.64,89.0,ib_insync,conda-forge/ib-insync,,,,12.0,,https://pypi.org/project/ib_insync,2020-11-03 13:37:57.000000,12.0,3117.0,3506.0,https://anaconda.org/conda-forge/ib-insync,2020-11-07 23:30:42.910000,7009.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n362,Streamz,python-streamz/streamz,,time-series-data,https://github.com/python-streamz/streamz,https://github.com/python-streamz/streamz,BSD-3-Clause,2017-04-04 21:45:49.000000,2020-12-10 21:50:53.000000,2020-12-10 21:02:45.000000,111.0,89.0,125.0,895,723.0,Real-time stream processing for python.,38.0,24,True,2020-11-02 14:53:29.000000,0.6.1,14.0,streamz,conda-forge/streamz,,,,197.0,181.0,https://pypi.org/project/streamz,2020-11-02 14:53:29.000000,16.0,2224.0,4777.0,https://anaconda.org/conda-forge/streamz,2020-11-03 14:52:05.793000,102126.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n363,PySAL,pysal/pysal,,geospatial-data,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42.000000,2021-01-06 15:26:28.000000,2020-08-01 00:57:56.000000,241.0,58.0,570.0,807,4067.0,PySAL: Python Spatial Analysis Library Meta-Package.,69.0,24,True,2020-07-30 03:12:31.000000,2.3.0,24.0,pysal,conda-forge/pysal,,,,18.0,,https://pypi.org/project/pysal,2020-07-30 03:12:31.000000,18.0,10654.0,17966.0,https://anaconda.org/conda-forge/pysal,2020-07-30 10:24:58.290000,394866.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n364,kmodes,nicodv/kmodes,,others,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40.000000,2020-11-04 05:52:59.000000,2020-11-04 05:52:58.000000,336.0,19.0,106.0,792,448.0,\"Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data.\",16.0,24,True,2020-02-25 21:38:29.000000,0.10.2,12.0,kmodes,,,,,414.0,401.0,https://pypi.org/project/kmodes,2020-02-25 21:30:28.000000,13.0,54751.0,54751.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n365,ffn,pmorissette/ffn,,financial-data,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09.000000,2020-12-24 03:15:18.000000,2020-12-18 01:00:27.000000,172.0,16.0,58.0,731,301.0,ffn - a financial function library for Python.,23.0,24,True,2018-05-28 14:01:56.000000,0.3.4,25.0,ffn,,,,,111.0,95.0,https://pypi.org/project/ffn,2018-05-28 14:01:56.000000,16.0,13476.0,13476.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n366,ktrain,amaiya/ktrain,,ml-frameworks,https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39.000000,2021-01-04 22:10:11.000000,2020-12-26 22:34:52.000000,168.0,8.0,282.0,711,2137.0,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,12.0,24,True,2020-12-23 23:20:12.000000,0.25.3,145.0,ktrain,,,,['tensorflow'],110.0,109.0,https://pypi.org/project/ktrain,2020-12-05 17:43:35.000000,1.0,6074.0,6074.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n367,GPyOpt,SheffieldML/GPyOpt,,hyperopt,https://github.com/SheffieldML/GPyOpt,https://github.com/SheffieldML/GPyOpt,BSD-3-Clause,2014-08-13 09:58:25.000000,2020-11-17 10:32:02.000000,2020-11-05 15:16:04.000000,215.0,100.0,186.0,699,514.0,Gaussian Process Optimization using GPy.,49.0,24,True,2020-03-19 21:21:18.000000,1.2.6,11.0,gpyopt,,,,,200.0,164.0,https://pypi.org/project/gpyopt,2020-03-19 11:37:45.000000,36.0,4493.0,4493.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n368,pythreejs,jupyter-widgets/pythreejs,,data-viz,https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,BSD-3-Clause,2013-12-23 17:02:11.000000,2021-01-07 12:54:00.000000,2020-10-09 09:41:09.000000,156.0,59.0,136.0,694,1594.0,A Jupyter - Three.js bridge.,24.0,24,True,2020-03-19 11:32:37.000000,2.2.1,42.0,pythreejs,conda-forge/pythreejs,,,['jupyter'],36.0,15.0,https://pypi.org/project/pythreejs,2020-10-09 09:40:47.000000,13.0,6131.0,14971.0,https://anaconda.org/conda-forge/pythreejs,2020-10-12 12:24:08.446000,256292.0,,,,,3.0,,,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,2020-03-19 11:22:13.041000,8.0,4264.0,,,,,,,,,,,,\n369,PennyLane,PennyLaneAI/PennyLane,,others,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000000,2021-01-07 19:51:47.000000,2021-01-06 16:51:02.000000,205.0,50.0,220.0,688,1737.0,PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum..,39.0,24,True,2020-12-22 16:10:22.000000,0.13.0-post2,18.0,pennylane,,,,,20.0,,https://pypi.org/project/pennylane,2020-11-27 18:07:34.000000,20.0,2469.0,2471.0,,,,,,,,2.0,52.0,,,,,,,,,,,,,,,,,,,\n370,Singer,singer-io/getting-started,,data-loading,https://github.com/singer-io/getting-started,https://github.com/singer-io/getting-started,AGPL-3.0,2016-10-31 16:53:56.000000,2020-12-04 20:57:23.000000,2020-12-04 20:57:19.000000,94.0,20.0,16.0,661,173.0,\"Standard for moving data between databases, web APIs, files, queues, and just about anything else you can think of.\",26.0,24,False,2019-11-04 21:43:38.000000,5.9.1,100.0,singer-python,,,,,300.0,,https://pypi.org/project/singer-python,2020-10-27 17:49:47.000000,300.0,62475.0,62475.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n371,pyjanitor,ericmjl/pyjanitor,,others,https://github.com/ericmjl/pyjanitor,https://github.com/ericmjl/pyjanitor,MIT,2018-03-04 22:43:33.000000,2021-01-05 02:29:48.000000,2020-12-31 02:32:49.000000,118.0,89.0,278.0,609,1162.0,Clean APIs for data cleaning. Python implementation of R package Janitor.,87.0,24,True,2020-10-03 12:24:35.000000,0.20.10,46.0,pyjanitor,conda-forge/pyjanitor,,,,74.0,72.0,https://pypi.org/project/pyjanitor,2020-10-03 12:24:35.000000,2.0,1490.0,3727.0,https://anaconda.org/conda-forge/pyjanitor,2020-10-04 12:30:53.707000,76059.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n372,neo4j-driver,neo4j/neo4j-python-driver,,db-clients,https://github.com/neo4j/neo4j-python-driver,https://github.com/neo4j/neo4j-python-driver,Apache-2.0,2015-05-05 13:08:20.000000,2021-01-07 13:34:43.000000,2021-01-07 13:34:33.000000,132.0,4.0,168.0,591,,Neo4j Bolt driver for Python.,26.0,24,True,2020-12-21 13:59:28.000000,4.2.1,81.0,neo4j-driver,,,,,382.0,,https://pypi.org/project/neo4j-driver,2020-12-21 13:56:38.000000,382.0,76508.0,76508.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n373,pyahocorasick,WojciechMula/pyahocorasick,,nlp,https://github.com/WojciechMula/pyahocorasick,https://github.com/WojciechMula/pyahocorasick,BSD-3-Clause,2013-05-30 19:55:46.000000,2020-12-23 10:51:28.000000,2020-12-23 10:51:27.000000,86.0,31.0,64.0,566,394.0,Python module (C extension and plain python) implementing Aho-Corasick algorithm.,20.0,24,True,2018-12-20 19:06:01.000000,1.4.0,22.0,pyahocorasick,conda-forge/pyahocorasick,,,,529.0,465.0,https://pypi.org/project/pyahocorasick,2019-01-14 16:20:13.000000,64.0,97423.0,100287.0,https://anaconda.org/conda-forge/pyahocorasick,2020-10-13 12:20:05.350000,105994.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n374,HappyBase,python-happybase/happybase,,db-clients,https://github.com/python-happybase/happybase,https://github.com/python-happybase/happybase,MIT,2012-05-20 20:06:10.000000,2020-04-09 10:46:31.000000,2020-04-09 10:46:29.000000,151.0,27.0,179.0,554,283.0,A developer-friendly Python library to interact with Apache HBase.,19.0,24,True,2017-04-03 21:13:18.000000,1.1.0,11.0,happybase,conda-forge/happybase,,,,875.0,453.0,https://pypi.org/project/happybase,2017-04-03 21:13:18.000000,422.0,40033.0,40899.0,https://anaconda.org/conda-forge/happybase,2019-07-01 13:37:04.756000,47681.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n375,Intake,intake/intake,,data-loading,https://github.com/intake/intake,https://github.com/intake/intake,BSD-2-Clause,2017-08-14 20:44:22.000000,2021-01-06 15:59:29.000000,2020-12-16 20:19:01.000000,91.0,75.0,189.0,514,1612.0,\"Intake is a lightweight package for finding, investigating, loading and disseminating data.\",51.0,24,True,2020-06-03 19:03:40.000000,0.6.0,19.0,intake,conda-forge/intake,,,,287.0,213.0,https://pypi.org/project/intake,2020-06-03 19:03:40.000000,74.0,2798.0,4888.0,https://anaconda.org/conda-forge/intake,2020-06-03 19:49:52.133000,54341.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n376,GeoViews,holoviz/geoviews,,geospatial-data,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000000,2020-11-13 20:59:34.000000,2020-09-21 16:31:16.000000,59.0,77.0,169.0,323,635.0,\"Simple, concise geographical visualization in Python.\",21.0,24,True,2020-09-23 18:59:07.000000,1.8.0,21.0,geoviews,conda-forge/geoviews,,,,191.0,181.0,https://pypi.org/project/geoviews,2020-03-30 19:17:21.000000,10.0,1223.0,2792.0,https://anaconda.org/conda-forge/geoviews,2020-09-23 20:06:48.808000,53373.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n377,datalad,datalad/datalad,,others,https://github.com/datalad/datalad,https://github.com/datalad/datalad,MIT,2013-11-01 19:40:08.000000,2021-01-07 22:17:49.000000,2021-01-07 15:44:36.000000,68.0,711.0,2159.0,220,13213.0,\"Keep code, data, containers under control with git and git-annex.\",40.0,24,True,2021-01-04 16:19:04.000000,0.13.7,62.0,datalad,conda-forge/datalad,,,,26.0,,https://pypi.org/project/datalad,2020-12-14 16:07:46.000000,26.0,1322.0,3539.0,https://anaconda.org/conda-forge/datalad,2021-01-04 20:08:46.439000,75400.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n378,ml-metadata,google/ml-metadata,,ml-experiments,https://github.com/google/ml-metadata,https://github.com/google/ml-metadata,Apache-2.0,2019-01-15 21:02:09.000000,2020-12-16 21:22:19.000000,2020-12-16 21:22:13.000000,56.0,18.0,36.0,218,449.0,For recording and retrieving metadata associated with ML developer and data scientist workflows.,11.0,24,True,2020-12-15 18:49:42.000000,0.26.0,21.0,ml-metadata,,,,,61.0,61.0,https://pypi.org/project/ml-metadata,2020-12-15 18:49:42.000000,0.0,388159.0,388213.0,,,,,,,,3.0,1189.0,,,,,,,,,,,,,,,,,,,\n379,Facets Overview,pair-code/facets,,data-viz,https://github.com/PAIR-code/facets,https://github.com/PAIR-code/facets,Apache-2.0,2017-07-07 14:03:03.000000,2020-10-27 19:51:23.000000,2020-10-27 19:51:22.000000,789.0,71.0,75.0,6467,259.0,Visualizations for machine learning datasets.,27.0,23,True,2019-07-24 15:33:29.000000,0.9.1,4.0,facets-overview,,,,['jupyter'],37.0,37.0,https://pypi.org/project/facets-overview,2019-07-24 15:33:29.000000,,29045.0,29045.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n380,Ciphey,Ciphey/Ciphey,,nlp,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39.000000,2021-01-06 02:13:57.000000,2021-01-02 23:37:52.000000,330.0,45.0,170.0,6068,1726.0,\"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.\",38.0,23,True,2020-12-02 12:36:44.000000,5.11.0,43.0,ciphey,,remnux/ciphey,,,,,https://pypi.org/project/ciphey,2020-12-02 12:36:44.000000,,4814.0,5211.0,,,,https://hub.docker.com/r/remnux/ciphey,2020-12-17 02:51:41.340501,1.0,7148.0,3.0,,,,,,,,,,,,,,,,,,,,\n381,EfficientNet-PyTorch,lukemelas/EfficientNet-PyTorch,,pytorch-utils,https://github.com/lukemelas/EfficientNet-PyTorch,https://github.com/lukemelas/EfficientNet-PyTorch,Apache-2.0,2019-05-30 05:24:11.000000,2020-12-28 15:43:30.000000,2020-10-09 16:24:04.000000,1030.0,100.0,117.0,5295,141.0,A PyTorch implementation of EfficientNet.,21.0,23,True,2020-08-26 03:00:05.000000,0.7.0,12.0,efficientnet-pytorch,,,,['pytorch'],7.0,,https://pypi.org/project/efficientnet-pytorch,2020-08-26 03:00:05.000000,7.0,30576.0,59019.0,,,,,,,,2.0,284432.0,,,,,,,,,,,,,,,,,,,\n382,Apex,NVIDIA/apex,,gpu-utilities,https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000000,2021-01-06 00:56:56.000000,2020-12-17 17:18:43.000000,656.0,425.0,359.0,4924,828.0,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,77.0,23,True,,,1.0,,conda-forge/nvidia-apex,,,['pytorch'],415.0,415.0,,,,,1874.0,https://anaconda.org/conda-forge/nvidia-apex,2020-11-23 18:41:00.769000,28110.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n383,flashtext,vi3k6i5/flashtext,,nlp,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01.000000,2020-06-05 00:37:46.000000,2020-05-03 07:13:22.000000,521.0,48.0,49.0,4598,108.0,Extract Keywords from sentence or Replace keywords in sentences.,8.0,23,True,,,18.0,flashtext,,,,,358.0,326.0,https://pypi.org/project/flashtext,2018-02-16 05:24:17.000000,32.0,233774.0,233774.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n384,Face Alignment,1adrianb/face-alignment,,image,https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44.000000,2020-12-30 17:11:07.000000,2020-12-30 17:11:06.000000,993.0,29.0,189.0,4582,196.0,2D and 3D Face alignment library build using pytorch.,21.0,23,True,2020-12-22 21:34:55.000000,1.3.3,9.0,face-alignment,,,,['pytorch'],6.0,,https://pypi.org/project/face-alignment,2020-12-22 21:34:55.000000,6.0,5274.0,5274.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n385,PaddleHub,PaddlePaddle/PaddleHub,,others,https://github.com/PaddlePaddle/PaddleHub,https://github.com/PaddlePaddle/PaddleHub,Apache-2.0,2018-12-21 06:00:48.000000,2021-01-07 06:34:13.000000,2021-01-07 06:34:12.000000,976.0,253.0,370.0,4367,,\"Awesome pre-trained models toolkit based on PaddlePaddle.180+ models including Image, Text, Audio and Video with Easy..\",32.0,23,True,2021-01-06 12:04:54.000000,2.0.0-rc0,39.0,paddlehub,,,,['paddle'],75.0,75.0,https://pypi.org/project/paddlehub,2021-01-06 11:57:01.000000,0.0,1834.0,1853.0,,,,,,,,3.0,426.0,,,,,,,,,,,,,,,,,,,\n386,textgenrnn,minimaxir/textgenrnn,,nlp,https://github.com/minimaxir/textgenrnn,https://github.com/minimaxir/textgenrnn,MIT,2017-08-07 02:13:37.000000,2020-12-25 03:33:19.000000,2020-07-14 02:41:10.000000,654.0,107.0,79.0,4210,174.0,Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines..,19.0,23,True,2020-02-03 01:07:00.000000,2.0.0,14.0,textgenrnn,,,,['tensorflow'],583.0,569.0,https://pypi.org/project/textgenrnn,2020-02-02 21:16:15.000000,14.0,842.0,853.0,,,,,,,,3.0,387.0,,,,,,,,,,,,,,,,,,,\n387,DeepSpeed,microsoft/DeepSpeed,,distributed-ml,https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,MIT,2020-01-23 18:35:18.000000,2021-01-08 01:42:32.000000,2021-01-07 23:52:23.000000,348.0,98.0,144.0,3889,386.0,\"DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.\",37.0,23,True,2020-12-09 17:12:01.000000,0.3.9,17.0,deepspeed,,deepspeed/deepspeed,,['pytorch'],7.0,7.0,https://pypi.org/project/deepspeed,2020-12-23 06:29:20.000000,,885.0,1430.0,,,,https://hub.docker.com/r/deepspeed/deepspeed,2020-11-20 00:17:12.819964,2.0,6551.0,3.0,,,,,,,,,,,,,,,,,,,,\n388,Great Expectations,great-expectations/great_expectations,,data-pipelines,https://github.com/great-expectations/great_expectations,https://github.com/great-expectations/great_expectations,Apache-2.0,2017-09-11 00:18:46.000000,2021-01-07 23:14:48.000000,2021-01-07 22:41:56.000000,377.0,153.0,585.0,3347,,Always know what to expect from your data.,138.0,23,True,2020-12-23 01:56:12.000000,0.13.4,95.0,great_expectations,,,,,6.0,,https://pypi.org/project/great_expectations,2020-12-23 01:50:41.000000,6.0,354915.0,354915.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n389,VisualDL,PaddlePaddle/VisualDL,,ml-experiments,https://github.com/PaddlePaddle/VisualDL,https://github.com/PaddlePaddle/VisualDL,Apache-2.0,2017-12-20 12:34:31.000000,2021-01-07 07:01:36.000000,2021-01-07 07:01:35.000000,438.0,23.0,310.0,3179,,Deep Learning Visualization Toolkit.,27.0,23,True,2020-12-29 13:20:08.000000,2.1.0,30.0,visualdl,,,,['paddle'],136.0,126.0,https://pypi.org/project/visualdl,2020-12-29 09:00:11.000000,10.0,4995.0,5004.0,,,,,,,,3.0,64.0,,,,,,,,,,,,,,,,,,,\n390,PyAlgoTrade,gbeced/pyalgotrade,,financial-data,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54.000000,2020-12-24 18:41:56.000000,2018-08-21 02:42:52.000000,1139.0,38.0,81.0,3110,1156.0,Python Algorithmic Trading Library.,11.0,23,False,,,8.0,pyalgotrade,,,,,87.0,66.0,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25.000000,21.0,683.0,683.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n391,Camelot,atlanhq/camelot,,data-loading,https://github.com/atlanhq/camelot,https://github.com/atlanhq/camelot,MIT,2016-06-18 11:48:49.000000,2020-07-27 12:28:15.000000,2019-10-15 05:25:40.000000,301.0,61.0,273.0,2960,446.0,Camelot: PDF Table Extraction for Humans.,23.0,23,False,2020-07-27 12:28:15.000000,0.8.2,21.0,camelot-py,,,,,10.0,,https://pypi.org/project/camelot-py,2020-07-27 12:28:15.000000,10.0,23872.0,23872.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n392,segmentation_models,qubvel/segmentation_models,,image,https://github.com/qubvel/segmentation_models,https://github.com/qubvel/segmentation_models,MIT,2018-06-05 13:27:56.000000,2020-12-13 13:48:40.000000,2020-04-17 09:51:20.000000,660.0,139.0,234.0,2843,204.0,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,14.0,23,True,2020-01-10 11:36:02.000000,1.0.1,8.0,segmentation_models,,,,['tensorflow'],12.0,,https://pypi.org/project/segmentation_models,2020-01-10 11:36:02.000000,12.0,15412.0,15412.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n393,xLearn,aksnzhy/xlearn,,ml-frameworks,https://github.com/aksnzhy/xlearn,https://github.com/aksnzhy/xlearn,Apache-2.0,2017-06-10 08:09:31.000000,2020-07-06 19:54:25.000000,2020-03-03 10:12:35.000000,479.0,177.0,107.0,2819,1340.0,\"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..\",30.0,23,True,2019-04-25 02:10:05.000000,0.4.4,15.0,xlearn,,,,,39.0,38.0,https://pypi.org/project/xlearn,2018-12-04 11:05:06.000000,1.0,7215.0,7280.0,,,,,,,,3.0,2226.0,,,,,,,,,,,,,,,,,,,\n394,SHOGUN,shogun-toolbox/shogun,,ml-frameworks,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32.000000,2021-01-07 15:32:58.000000,2020-12-08 16:56:38.000000,1014.0,544.0,1067.0,2783,16205.0,Unified and efficient Machine Learning.,248.0,23,True,2019-07-05 10:23:31.000000,shogun_6.1.4,10.0,,conda-forge/shogun,shogun/shogun,,,,,,,,,2141.0,https://anaconda.org/conda-forge/shogun,2018-06-25 20:49:17.070000,89430.0,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1438.0,3.0,,,,,,,,,,,shogun,,,,,,,,,\n395,keras-vis,raghakot/keras-vis,,interpretability,https://github.com/raghakot/keras-vis,https://github.com/raghakot/keras-vis,MIT,2016-11-11 23:27:34.000000,2020-04-20 01:03:13.000000,2020-04-20 01:03:12.000000,583.0,113.0,99.0,2774,195.0,Neural network visualization toolkit for keras.,10.0,23,True,2017-07-06 04:55:04.000000,0.4.1,11.0,keras-vis,,,,['tensorflow'],671.0,643.0,https://pypi.org/project/keras-vis,2017-07-06 04:55:04.000000,28.0,2347.0,2347.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n396,PML,KevinMusgrave/pytorch-metric-learning,,pytorch-utils,https://github.com/KevinMusgrave/pytorch-metric-learning,https://github.com/KevinMusgrave/pytorch-metric-learning,MIT,2019-10-23 17:20:35.000000,2021-01-04 16:39:37.000000,2021-01-04 14:59:48.000000,353.0,32.0,169.0,2595,558.0,\"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.\",12.0,23,True,2020-12-11 05:13:08.000000,0.9.95,137.0,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,,['pytorch'],42.0,42.0,https://pypi.org/project/pytorch-metric-learning,2021-01-04 16:39:37.000000,0.0,3937.0,4025.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2020-12-11 06:48:33.049000,1058.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n397,MMLSpark,Azure/mmlspark,,distributed-ml,https://github.com/Azure/mmlspark,https://github.com/Azure/mmlspark,MIT,2017-06-05 08:23:44.000000,2021-01-07 22:48:58.000000,2021-01-07 22:48:56.000000,467.0,171.0,212.0,2223,766.0,Microsoft Machine Learning for Apache Spark.,61.0,23,True,2020-10-02 19:36:01.000000,1.0.0-rc3,17.0,mmlspark,,,,['spark'],,,https://pypi.org/project/mmlspark,2020-03-18 01:27:31.000000,,21398.0,21398.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n398,neuralcoref,huggingface/neuralcoref,,nlp,https://github.com/huggingface/neuralcoref,https://github.com/huggingface/neuralcoref,MIT,2017-07-03 13:04:16.000000,2020-12-29 21:22:55.000000,2020-12-29 21:22:53.000000,376.0,40.0,214.0,2163,113.0,Fast Coreference Resolution in spaCy with Neural Networks.,20.0,23,True,2019-04-08 11:28:27.000000,4.0.0,5.0,neuralcoref,conda-forge/neuralcoref,,,,279.0,270.0,https://pypi.org/project/neuralcoref,2019-04-08 08:53:12.000000,9.0,3216.0,3727.0,https://anaconda.org/conda-forge/neuralcoref,2020-02-21 22:10:40.453000,5593.0,,,,,3.0,161.0,,,,,,,,,,,,,,,,,,,\n399,einops,arogozhnikov/einops,,ml-frameworks,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08.000000,2020-11-21 03:15:40.000000,2020-11-14 04:18:36.000000,67.0,22.0,38.0,2101,290.0,\"Deep learning operations reinvented (for pytorch, tensorflow, jax and others).\",10.0,23,True,2020-09-08 08:33:29.000000,0.3,3.0,einops,conda-forge/einops,,,,178.0,168.0,https://pypi.org/project/einops,2020-09-08 08:21:26.000000,10.0,10578.0,10791.0,https://anaconda.org/conda-forge/einops,2020-10-15 20:10:19.681000,3417.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n400,ClearML,allegroai/clearml,,ml-experiments,https://github.com/allegroai/clearml,https://github.com/allegroai/clearml,Apache-2.0,2019-06-10 08:18:32.000000,2021-01-05 20:59:28.000000,2021-01-05 20:59:19.000000,286.0,89.0,150.0,2081,951.0,\"ClearML - Auto-Magical Suite of tools to streamline your ML workflow. Experiment Manager, ML-Ops and Data-Management.\",24.0,23,True,2020-12-25 00:38:35.000000,0.17.2,37.0,clearml,,allegroai/trains,,,6.0,6.0,https://pypi.org/project/clearml,2020-12-25 00:36:49.000000,0.0,871.0,2457.0,,,,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,29901.0,3.0,252.0,,,,,,,,,,,,,,,,,,,\n401,scikit-plot,reiinakano/scikit-plot,,interpretability,https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59.000000,2020-07-22 16:19:25.000000,2018-08-19 12:37:47.000000,239.0,21.0,38.0,1981,130.0,An intuitive library to add plotting functionality to scikit-learn objects.,13.0,23,False,2018-08-19 12:21:01.000000,0.3.7,27.0,scikit-plot,conda-forge/scikit-plot,,,['sklearn'],712.0,685.0,https://pypi.org/project/scikit-plot,2018-08-19 12:18:46.000000,27.0,41439.0,43311.0,https://anaconda.org/conda-forge/scikit-plot,2019-06-05 14:23:59.043000,78642.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n402,ART,Trusted-AI/adversarial-robustness-toolbox,,adversarial,https://github.com/Trusted-AI/adversarial-robustness-toolbox,https://github.com/Trusted-AI/adversarial-robustness-toolbox,MIT,2018-03-15 14:40:43.000000,2021-01-08 01:36:12.000000,2021-01-05 19:45:25.000000,548.0,57.0,319.0,1940,,\"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..\",58.0,23,True,2020-12-01 01:59:38.000000,1.5.0,26.0,adversarial-robustness-toolbox,,,,,96.0,96.0,https://pypi.org/project/adversarial-robustness-toolbox,2020-12-01 01:03:21.000000,,1746.0,1746.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n403,Enigma Catalyst,enigmampc/catalyst,,financial-data,https://github.com/enigmampc/catalyst,https://github.com/enigmampc/catalyst,Apache-2.0,2017-06-13 22:31:34.000000,2021-01-05 19:10:30.000000,2020-12-28 10:58:58.000000,574.0,131.0,363.0,1916,6362.0,An Algorithmic Trading Library for Crypto-Assets in Python.,144.0,23,True,2018-09-13 15:09:58.000000,0.5.21,52.0,enigma-catalyst,,,,,20.0,20.0,https://pypi.org/project/enigma-catalyst,2018-11-11 16:46:28.000000,,353.0,353.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n404,Acme,deepmind/acme,,reinforcement-learning,https://github.com/deepmind/acme,https://github.com/deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000000,2021-01-08 01:23:53.000000,2021-01-07 15:56:07.000000,177.0,37.0,44.0,1853,324.0,A library of reinforcement learning components and agents.,29.0,23,True,2020-10-23 15:59:12.000000,0.2.0,8.0,dm-acme,,,,['tensorflow'],16.0,16.0,https://pypi.org/project/dm-acme,2020-07-24 13:03:30.000000,,557.0,557.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n405,Essentia,MTG/essentia,,audio,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000000,2021-01-07 17:07:01.000000,2020-12-16 16:22:01.000000,388.0,280.0,558.0,1701,2689.0,\"C++ library for audio and music analysis, description and synthesis, including Python bindings.\",69.0,23,False,2015-03-31 16:33:30.000000,2.0,8.0,essentia,,,,,144.0,139.0,https://pypi.org/project/essentia,2020-04-22 16:31:02.000000,5.0,1124.0,1124.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n406,DDSP,magenta/ddsp,,audio,https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27.000000,2021-01-07 22:27:44.000000,2021-01-06 18:22:18.000000,155.0,13.0,84.0,1691,335.0,DDSP: Differentiable Digital Signal Processing.,22.0,23,True,2020-11-11 21:25:25.000000,0.13.0,25.0,ddsp,,,,['tensorflow'],5.0,5.0,https://pypi.org/project/ddsp,2020-08-21 20:19:47.000000,,1111.0,1111.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n407,GluonTS,awslabs/gluon-ts,,time-series-data,https://github.com/awslabs/gluon-ts,https://github.com/awslabs/gluon-ts,Apache-2.0,2019-05-15 17:17:29.000000,2021-01-07 19:57:48.000000,2021-01-07 12:48:05.000000,353.0,180.0,338.0,1653,629.0,Probabilistic time series modeling in Python.,67.0,23,True,2020-12-08 15:07:54.000000,0.6.4,27.0,gluonts,,,,['mxnet'],,,https://pypi.org/project/gluonts,2020-12-08 15:07:54.000000,,22544.0,22544.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n408,Spektral,danielegrattarola/spektral,,graph,https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10.000000,2021-01-07 18:03:04.000000,2021-01-03 16:01:43.000000,182.0,20.0,91.0,1570,446.0,Graph Neural Networks with Keras and Tensorflow 2.,16.0,23,True,2020-12-10 21:12:38.000000,1.0.4,27.0,spektral,,,,\"['tensorflow\"\"']\",26.0,26.0,https://pypi.org/project/spektral,2021-01-07 18:03:04.000000,0.0,3583.0,3583.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n409,Pillow-SIMD,uploadcare/pillow-simd,,image,https://github.com/uploadcare/pillow-simd,https://github.com/uploadcare/pillow-simd,PIL,2014-11-12 15:33:02.000000,2020-11-03 07:45:01.000000,2020-06-02 14:50:14.000000,65.0,11.0,52.0,1525,,The friendly PIL fork.,310.0,23,False,2020-01-02 05:19:26.000000,7.0.0,35.0,pillow-simd,,,,,402.0,352.0,https://pypi.org/project/pillow-simd,2020-01-26 14:30:27.000000,50.0,10436.0,10436.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n410,sklearn-contrib-lightning,scikit-learn-contrib/lightning,,others,https://github.com/scikit-learn-contrib/lightning,https://github.com/scikit-learn-contrib/lightning,BSD-3-Clause,2012-01-11 13:53:52.000000,2021-01-05 05:54:02.000000,2021-01-04 18:02:23.000000,188.0,49.0,36.0,1419,700.0,\"Large-scale linear classification, regression and ranking in Python.\",16.0,23,True,2017-11-04 18:03:11.000000,0.5.0,7.0,sklearn-contrib-lightning,conda-forge/sklearn-contrib-lightning,,,['sklearn'],77.0,72.0,https://pypi.org/project/sklearn-contrib-lightning,2020-12-16 17:25:20.000000,5.0,504.0,2831.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2020-12-20 22:58:20.890000,125693.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n411,bonobo,python-bonobo/bonobo,,data-pipelines,https://github.com/python-bonobo/bonobo,https://github.com/python-bonobo/bonobo,Apache-2.0,2016-12-09 04:03:23.000000,2021-01-01 05:32:02.000000,2021-01-01 05:32:01.000000,111.0,62.0,106.0,1365,978.0,Extract Transform Load for Python 3.5+.,36.0,23,True,2019-05-16 13:19:48.000000,0.6.4,38.0,bonobo,,,http://docs.bonobo-project.org/en/master/,,129.0,105.0,https://pypi.org/project/bonobo,2019-07-20 13:33:19.000000,24.0,2444.0,2444.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n412,Pandaral·lel,nalepae/pandarallel,,data-containers,https://github.com/nalepae/pandarallel,https://github.com/nalepae/pandarallel,BSD-3-Clause,2019-03-10 11:58:29.000000,2020-12-16 13:29:31.000000,2020-12-16 13:29:29.000000,92.0,60.0,53.0,1314,110.0,A simple and efficient tool to parallelize Pandas operations on all availableCPUs.,13.0,23,True,2020-08-25 16:33:28.000000,1.5.1,28.0,pandarallel,,,,\"['pandas', 'jupyter']\",135.0,135.0,https://pypi.org/project/pandarallel,2020-08-25 16:33:28.000000,0.0,41436.0,41436.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n413,MLBox,AxeldeRomblay/MLBox,,hyperopt,https://github.com/AxeldeRomblay/MLBox,https://github.com/AxeldeRomblay/MLBox,BSD-1-Clause,2017-06-01 16:59:24.000000,2020-11-24 17:57:08.000000,2020-08-25 09:26:27.000000,239.0,10.0,71.0,1174,1121.0,MLBox is a powerful Automated Machine Learning python library.,9.0,23,False,2020-08-25 09:32:37.000000,0.8.5,21.0,mlbox,,,,,20.0,20.0,https://pypi.org/project/mlbox,2020-08-25 09:32:37.000000,,3645.0,3645.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n414,TextAttack,QData/TextAttack,,adversarial,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000000,2021-01-06 15:03:17.000000,2020-12-29 15:45:06.000000,124.0,26.0,84.0,1170,1902.0,\"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP.\",30.0,23,True,2020-12-27 05:23:02.000000,0.2.15,35.0,textattack,,,,,13.0,13.0,https://pypi.org/project/textattack,2020-12-27 05:23:02.000000,0.0,990.0,990.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n415,sense2vec,explosion/sense2vec,,nlp,https://github.com/explosion/sense2vec,https://github.com/explosion/sense2vec,MIT,2016-01-23 22:15:49.000000,2020-12-10 16:03:25.000000,2020-05-29 21:31:20.000000,196.0,15.0,78.0,1142,437.0,Contextually-keyed word vectors.,14.0,23,True,2019-11-22 17:40:43.000000,1.0.2,17.0,sense2vec,conda-forge/sense2vec,,,,54.0,48.0,https://pypi.org/project/sense2vec,2019-11-22 15:49:11.000000,6.0,2523.0,3766.0,https://anaconda.org/conda-forge/sense2vec,2020-03-16 22:19:07.337000,14128.0,,,,,3.0,11888.0,,,,,,,,,,,,,,,,,,,\n416,garage,rlworkgroup/garage,,reinforcement-learning,https://github.com/rlworkgroup/garage,https://github.com/rlworkgroup/garage,MIT,2018-06-10 21:31:23.000000,2021-01-07 08:12:13.000000,2020-12-23 05:19:28.000000,182.0,182.0,766.0,1014,1185.0,A toolkit for reproducible reinforcement learning research.,73.0,23,True,2020-09-17 07:34:11.000000,2020.6.3,21.0,garage,,,,['tensorflow'],13.0,13.0,https://pypi.org/project/garage,2020-10-02 17:16:03.000000,,254.0,254.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n417,modAL,modAL-python/modAL,,others,https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000000,2021-01-07 09:54:00.000000,2021-01-07 09:40:40.000000,165.0,41.0,50.0,989,648.0,A modular active learning framework for Python.,14.0,23,True,2021-01-07 09:47:49.000000,0.4.1,12.0,modAL,,,,['sklearn'],52.0,44.0,https://pypi.org/project/modAL,2021-01-07 09:47:49.000000,8.0,1319.0,1319.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n418,Optimus,ironmussa/Optimus,,data-pipelines,https://github.com/ironmussa/Optimus,https://github.com/ironmussa/Optimus,Apache-2.0,2017-07-13 02:31:18.000000,2021-01-07 21:28:54.000000,2021-01-07 21:28:46.000000,189.0,139.0,165.0,962,3520.0,\"Agile Data Preparation Workflows madeeasy with dask, cudf, dask_cudf and pyspark.\",21.0,23,True,2020-07-19 03:05:40.000000,2.2.32,85.0,optimuspyspark,,,,['spark'],11.0,11.0,https://pypi.org/project/optimuspyspark,2019-05-30 02:22:54.000000,,7206.0,7206.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n419,tensorly,tensorly/tensorly,,others,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52.000000,2021-01-03 14:51:29.000000,2021-01-03 14:51:11.000000,186.0,24.0,94.0,942,865.0,TensorLy: Tensor Learning in Python.,38.0,23,True,2020-12-07 20:30:41.000000,0.5.1,16.0,tensorly,conda-forge/tensorly,,,,20.0,,https://pypi.org/project/tensorly,2020-12-07 20:30:41.000000,20.0,2816.0,6024.0,https://anaconda.org/conda-forge/tensorly,2020-12-07 22:44:30.386000,102663.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n420,ChainerRL,chainer/chainerrl,,reinforcement-learning,https://github.com/chainer/chainerrl,https://github.com/chainer/chainerrl,MIT,2017-01-30 04:58:15.000000,2020-12-09 06:26:53.000000,2020-12-09 06:26:52.000000,205.0,75.0,146.0,922,3458.0,ChainerRL is a deep reinforcement learning library built on top of Chainer.,29.0,23,True,2020-02-14 05:35:56.000000,0.8.0,10.0,chainerrl,,,,,102.0,88.0,https://pypi.org/project/chainerrl,2020-02-14 05:35:56.000000,14.0,854.0,854.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n421,luminol,linkedin/luminol,,time-series-data,https://github.com/linkedin/luminol,https://github.com/linkedin/luminol,Apache-2.0,2015-11-18 23:16:33.000000,2020-12-27 09:54:35.000000,2018-01-09 07:46:55.000000,176.0,24.0,12.0,861,69.0,Anomaly Detection and Correlation library.,8.0,23,False,2016-01-20 01:01:44.000000,0.3.1,5.0,luminol,,,,,49.0,37.0,https://pypi.org/project/luminol,2017-12-11 06:04:15.000000,12.0,158883.0,158883.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n422,keract,philipperemy/keract,,interpretability,https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57.000000,2020-12-31 16:16:17.000000,2020-12-30 14:25:13.000000,175.0,1.0,74.0,839,350.0,Activation Maps (Layers Outputs) and Gradients in Keras.,15.0,23,True,2020-12-30 19:38:30.000000,4.3.4,36.0,keract,,,,['tensorflow'],69.0,64.0,https://pypi.org/project/keract,2020-12-22 09:35:27.000000,5.0,1382.0,1382.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n423,SciSpacy,allenai/scispacy,,nlp,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52.000000,2021-01-07 23:42:51.000000,2021-01-05 20:15:58.000000,118.0,17.0,125.0,773,794.0,A full spaCy pipeline and models for scientific/biomedical documents.,14.0,23,True,2020-10-16 17:13:40.000000,0.3.0,9.0,scispacy,,,,,207.0,195.0,https://pypi.org/project/scispacy,2020-10-16 17:13:40.000000,12.0,7871.0,7871.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n424,openTSNE,pavlin-policar/openTSNE,,data-viz,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000000,2020-12-21 23:46:42.871000,2020-12-21 21:11:36.000000,81.0,3.0,68.0,734,506.0,\"Extensible, parallel implementations of t-SNE.\",10.0,23,True,2020-12-24 11:58:16.000000,0.5.0,18.0,opentsne,conda-forge/opentsne,,,,166.0,162.0,https://pypi.org/project/opentsne,2020-12-21 21:21:52.000000,4.0,9450.0,12320.0,https://anaconda.org/conda-forge/opentsne,2020-12-21 23:46:42.871000,71760.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n425,PySwarms,ljvmiranda921/pyswarms,,others,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45.000000,2021-01-03 21:34:15.000000,2021-01-03 04:18:07.000000,230.0,13.0,153.0,704,405.0,A research toolkit for particle swarm optimization in Python.,42.0,23,True,2020-11-14 05:18:38.000000,.1.2.0,20.0,pyswarms,,,,,85.0,85.0,https://pypi.org/project/pyswarms,2021-01-03 21:34:15.000000,0.0,5561.0,5561.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n426,Hail,hail-is/hail,,medical-data,https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000000,2021-01-08 00:33:43.000000,2021-01-07 23:53:29.000000,180.0,323.0,1934.0,689,7617.0,Scalable genomic data analysis.,68.0,23,True,2020-12-03 19:29:37.000000,0.2.61,81.0,hail,,,,['spark'],27.0,27.0,https://pypi.org/project/hail,2020-12-03 19:29:37.000000,,1036.0,1036.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n427,arch,bashtage/arch,,financial-data,https://github.com/bashtage/arch,https://github.com/bashtage/arch,NCSA,2014-08-29 15:41:28.000000,2021-01-07 12:37:29.000000,2021-01-07 12:33:37.000000,158.0,18.0,122.0,631,744.0,ARCH models in Python.,25.0,23,False,2020-06-24 19:19:12.000000,4.15,26.0,arch,,,,,276.0,234.0,https://pypi.org/project/arch,2020-06-24 19:20:21.000000,42.0,37033.0,37033.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n428,scikit-multilearn,scikit-multilearn/scikit-multilearn,,others,https://github.com/scikit-multilearn/scikit-multilearn,https://github.com/scikit-multilearn/scikit-multilearn,BSD-2-Clause,2014-04-30 13:05:44.000000,2020-06-30 10:19:46.000000,2019-05-21 11:29:06.000000,118.0,64.0,91.0,616,487.0,A scikit-learn based module for multi-label et. al. classification.,15.0,23,False,2018-12-10 16:24:47.000000,0.2.0,6.0,scikit-multilearn,,,,['sklearn'],317.0,314.0,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47.000000,3.0,68836.0,68836.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n429,pyhdb,SAP/pyhdb,,db-clients,https://github.com/SAP/PyHDB,https://github.com/SAP/PyHDB,Apache-2.0,2014-12-12 04:02:40.000000,2020-12-24 19:33:16.000000,2018-05-24 13:45:41.000000,132.0,50.0,51.0,287,155.0,SAP HANA Connector in pure Python.,10.0,23,False,2018-02-16 12:44:36.000000,0.3.4,8.0,pyhdb,,,,,131.0,101.0,https://pypi.org/project/pyhdb,2018-02-16 12:37:13.000000,30.0,70118.0,70118.0,,,,,,,,3.0,59.0,,,,,,,,,,,,,,,,,,,\n430,pySBD,nipunsadvilkar/pySBD,,nlp,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20.000000,2020-12-01 05:37:27.000000,2020-12-01 05:37:25.000000,25.0,4.0,43.0,249,274.0,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,6.0,23,True,2020-10-08 11:41:09.000000,0.3.3,14.0,pysbd,,,,,96.0,94.0,https://pypi.org/project/pysbd,2020-10-08 11:33:56.000000,2.0,9974.0,9974.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n431,pyexcel-xlsx,pyexcel/pyexcel-xlsx,,data-loading,https://github.com/pyexcel/pyexcel-xlsx,https://github.com/pyexcel/pyexcel-xlsx,BSD-3-Clause,2014-12-02 00:03:24.000000,2020-11-28 22:30:58.000000,2020-11-28 22:30:53.000000,16.0,12.0,20.0,83,267.0,\"A wrapper library to read, manipulate and write data in xlsx and xlsm format using openpyxl.\",4.0,23,False,2020-10-10 13:13:09.000000,0.6.0,30.0,pyexcel-xlsx,conda-forge/pyexcel-xlsx,,,,1374.0,1064.0,https://pypi.org/project/pyexcel-xlsx,2019-12-28 20:09:57.000000,310.0,36127.0,36503.0,https://anaconda.org/conda-forge/pyexcel-xlsx,2020-10-10 15:53:49.660000,14677.0,,,,,3.0,46.0,,,,,,,,,,,,,,,,,,,\n432,Vaex,vaexio/vaex,,data-containers,https://github.com/vaexio/vaex,https://github.com/vaexio/vaex,MIT,2014-09-27 09:44:42.000000,2021-01-07 11:52:54.000000,2020-12-09 10:57:28.000000,426.0,266.0,383.0,5577,2898.0,\"Out-of-Core DataFrames for Python, ML, visualize and explore big tabular data at a billion rows per second.\",35.0,22,True,2020-05-25 21:35:34.000000,3.0.0,41.0,vaex,conda-forge/vaex,,,,2.0,,https://pypi.org/project/vaex,2020-12-08 16:25:15.000000,2.0,3753.0,5585.0,https://anaconda.org/conda-forge/vaex,2020-06-01 18:35:17.510000,93372.0,,,,,3.0,199.0,,,,,,,,,,,,,,,,,,,\n433,mmdnn,Microsoft/MMdnn,,model-serialisation,https://github.com/microsoft/MMdnn,https://github.com/microsoft/MMdnn,MIT,2017-08-16 08:03:52.000000,2020-10-22 09:57:53.000000,2020-08-14 02:32:30.000000,920.0,307.0,283.0,5156,1083.0,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,85.0,22,True,2020-07-24 06:34:39.000000,0.3.1,12.0,mmdnn,,,,,50.0,47.0,https://pypi.org/project/mmdnn,2020-07-24 06:34:39.000000,3.0,642.0,728.0,,,,,,,,2.0,3271.0,,,,,,,,,,,,,,,,,,,\n434,Snips NLU,snipsco/snips-nlu,,nlp,https://github.com/snipsco/snips-nlu,https://github.com/snipsco/snips-nlu,Apache-2.0,2017-02-08 16:16:36.000000,2020-12-24 12:59:47.000000,2020-02-08 21:49:32.000000,456.0,50.0,196.0,3429,2153.0,Snips Python library to extract meaning from text.,21.0,22,True,2020-01-15 10:13:17.000000,0.20.2,58.0,snips-nlu,,,,,8.0,,https://pypi.org/project/snips-nlu,2020-01-15 10:13:17.000000,8.0,1001.0,1001.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n435,Image Deduplicator,idealo/imagededup,,image,https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54.000000,2020-12-21 13:30:38.000000,2020-11-23 17:40:40.000000,275.0,17.0,51.0,3325,460.0,Finding duplicate images made easy!.,9.0,22,True,2020-11-23 17:55:24.000000,0.2.4,9.0,imagededup,,,,['tensorflow'],9.0,8.0,https://pypi.org/project/imagededup,2020-11-22 21:09:36.000000,1.0,1698.0,1698.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n436,ArrayFire,arrayfire/arrayfire,,gpu-utilities,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000000,2021-01-05 13:14:18.000000,2020-12-23 05:10:31.000000,449.0,254.0,1194.0,3278,5664.0,ArrayFire: a general purpose GPU library.,80.0,22,True,2020-11-23 16:37:49.000000,3.7.3,29.0,arrayfire,,,,,2.0,,https://pypi.org/project/arrayfire,2018-10-18 14:13:29.000000,2.0,508.0,515.0,,,,,,,,2.0,535.0,,,,,,,,,,,,,,,,,,,\n437,TensorWatch,microsoft/tensorwatch,,ml-experiments,https://github.com/microsoft/tensorwatch,https://github.com/microsoft/tensorwatch,MIT,2019-05-15 08:29:34.000000,2020-12-28 08:11:02.000000,2020-09-16 04:30:11.000000,307.0,49.0,14.0,2996,108.0,\"Debugging, monitoring and visualization for Python Machine Learning and Data Science.\",11.0,22,True,2020-03-04 07:26:22.000000,0.9.1,14.0,tensorwatch,,,,,50.0,44.0,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22.000000,6.0,7511.0,7511.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n438,analytics-zoo,intel-analytics/analytics-zoo,,distributed-ml,https://github.com/intel-analytics/analytics-zoo,https://github.com/intel-analytics/analytics-zoo,Apache-2.0,2017-05-05 02:27:30.000000,2021-01-08 02:37:23.000000,2021-01-08 01:45:40.000000,627.0,427.0,475.0,2170,2420.0,\"Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray.\",81.0,22,True,2020-12-17 03:25:36.000000,0.9.0,42.0,analytics-zoo,,,,['spark'],2.0,2.0,https://pypi.org/project/analytics-zoo,2021-01-06 02:27:39.000000,,649.0,649.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n439,Mars,mars-project/mars,,others,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03.000000,2021-01-08 02:47:56.000000,2021-01-07 08:44:20.000000,239.0,114.0,623.0,1971,680.0,\"Mars is a tensor-based unified framework for large-scale data computation which scales Numpy, pandas, Scikit-learn and..\",17.0,22,True,2021-01-03 04:54:10.000000,0.6.2,68.0,pymars,,,,,3.0,3.0,https://pypi.org/project/pymars,2020-12-20 16:45:18.000000,,3444.0,3444.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n440,PandasGUI,adamerose/pandasgui,,data-viz,https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT,2019-06-12 02:19:42.000000,2021-01-07 22:46:18.000000,2021-01-07 22:44:18.000000,109.0,12.0,51.0,1942,403.0,A GUI for Pandas DataFrames.,6.0,22,True,2020-11-10 17:30:20.000000,0.2.7,37.0,pandasgui,,,,['pandas'],28.0,27.0,https://pypi.org/project/pandasgui,2020-11-10 17:30:20.000000,1.0,1888.0,1888.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n441,pytorch-nlp,PetrochukM/PyTorch-NLP,,nlp,https://github.com/PetrochukM/PyTorch-NLP,https://github.com/PetrochukM/PyTorch-NLP,BSD-3-Clause,2018-02-25 05:00:36.000000,2020-10-11 02:41:30.000000,2020-10-11 02:41:24.000000,223.0,14.0,49.0,1847,442.0,Basic Utilities for PyTorch Natural Language Processing (NLP).,17.0,22,True,2019-11-04 05:16:00.000000,0.5.0,19.0,pytorch-nlp,,,,['pytorch'],184.0,166.0,https://pypi.org/project/pytorch-nlp,2019-11-04 04:35:18.000000,18.0,3119.0,3119.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n442,PyFlux,RJT1990/pyflux,,time-series-data,https://github.com/RJT1990/pyflux,https://github.com/RJT1990/pyflux,BSD-3-Clause,2016-02-16 20:12:02.000000,2019-03-19 10:45:02.000000,2018-12-16 15:30:13.000000,207.0,79.0,65.0,1843,118.0,Open source time series library for Python.,6.0,22,False,2017-11-21 16:27:06.000000,0.4.16,35.0,pyflux,,,,,179.0,164.0,https://pypi.org/project/pyflux,2017-11-21 16:27:06.000000,15.0,12627.0,12627.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n443,MONAI,Project-MONAI/MONAI,,medical-data,https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000000,2021-01-07 21:46:58.000000,2021-01-07 21:46:57.000000,288.0,82.0,573.0,1689,709.0,AI Toolkit for Healthcare Imaging.,50.0,22,True,2020-12-15 15:21:13.000000,0.4.0,15.0,monai,,,,['pytorch'],,,https://pypi.org/project/monai,2020-12-15 15:16:56.000000,,4107.0,4107.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n444,STUMPY,TDAmeritrade/stumpy,,time-series-data,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000000,2021-01-04 21:23:32.000000,2021-01-04 21:23:21.000000,154.0,27.0,171.0,1632,785.0,\"STUMPY is a powerful and scalable Python library for computing a Matrix Profile, which can be used for a variety of..\",20.0,22,True,2020-12-31 01:04:19.000000,1.6.1,15.0,stumpy,conda-forge/stumpy,,,,0.0,,https://pypi.org/project/stumpy,2020-12-31 01:04:19.000000,0.0,19018.0,19737.0,https://anaconda.org/conda-forge/stumpy,2020-12-31 01:16:25.635000,14398.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n445,scattertext,JasonKessler/scattertext,,nlp,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12.000000,2020-12-18 17:48:22.333000,2020-12-18 09:53:12.000000,200.0,18.0,51.0,1476,335.0,Beautiful visualizations of how language differs among document types.,10.0,22,True,2017-03-13 05:31:21.000000,0.0.2.4.4,127.0,scattertext,conda-forge/scattertext,,,,146.0,138.0,https://pypi.org/project/scattertext,2020-12-14 02:45:48.000000,8.0,2992.0,4029.0,https://anaconda.org/conda-forge/scattertext,2020-12-18 17:48:22.333000,42545.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n446,fast-bert,kaushaltrivedi/fast-bert,,nlp,https://github.com/kaushaltrivedi/fast-bert,https://github.com/kaushaltrivedi/fast-bert,Apache-2.0,2019-04-18 22:01:20.000000,2020-12-17 21:05:51.000000,2020-12-17 21:05:43.000000,302.0,137.0,90.0,1474,262.0,Super easy library for BERT based NLP models.,34.0,22,True,2020-12-09 21:27:58.000000,1.9.5,40.0,fast-bert,,,,,2.0,,https://pypi.org/project/fast-bert,2020-12-09 21:27:58.000000,2.0,2027.0,2027.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n447,anaGo,Hironsan/anago,,nlp,https://github.com/Hironsan/anago,https://github.com/Hironsan/anago,MIT,2017-06-26 21:28:36.000000,2020-11-13 17:31:18.000000,2019-10-23 03:19:52.000000,348.0,36.0,71.0,1372,296.0,\"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.\",11.0,22,False,2018-06-03 13:51:56.000000,1.0.0,14.0,anago,,,,['tensorflow'],25.0,25.0,https://pypi.org/project/anago,2018-07-17 01:59:21.000000,,1508.0,1508.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n448,Talos,autonomio/talos,,hyperopt,https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41.000000,2020-11-21 16:37:14.000000,2020-11-21 16:27:04.000000,221.0,41.0,343.0,1352,538.0,\"Hyperparameter Optimization for TensorFlow, Keras and PyTorch.\",19.0,22,True,2020-11-09 16:48:30.000000,1.0,13.0,talos,,,,['tensorflow'],109.0,103.0,https://pypi.org/project/talos,2020-11-09 16:46:45.000000,6.0,958.0,958.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n449,hnswlib,nmslib/hnswlib,,nn-search,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000000,2021-01-07 05:20:54.000000,2020-08-18 21:30:59.000000,230.0,80.0,104.0,1286,195.0,Header-only C++/python library for fast approximate nearest neighbors.,32.0,22,True,2020-07-13 04:50:55.000000,0.4.0,3.0,hnswlib,,,,,2.0,,https://pypi.org/project/hnswlib,2020-07-13 04:50:55.000000,2.0,14818.0,14818.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n450,NiftyNet,NifTK/NiftyNet,,medical-data,https://github.com/NifTK/NiftyNet,https://github.com/NifTK/NiftyNet,Apache-2.0,2017-08-30 07:55:43.000000,2020-04-21 19:54:52.000000,2020-04-21 19:54:51.000000,374.0,99.0,224.0,1260,2848.0,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,58.0,22,True,2019-10-09 19:33:30.000000,0.6.0,11.0,niftynet,,,,['tensorflow'],33.0,33.0,https://pypi.org/project/niftynet,2019-10-10 10:59:33.000000,,216.0,216.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n451,metric-learn,scikit-learn-contrib/metric-learn,,others,https://github.com/scikit-learn-contrib/metric-learn,https://github.com/scikit-learn-contrib/metric-learn,MIT,2013-11-02 08:29:47.000000,2020-08-04 01:35:49.000000,2020-08-04 01:35:39.000000,205.0,47.0,109.0,1096,263.0,Metric learning algorithms in Python.,19.0,22,True,2020-07-02 12:55:51.000000,0.6.2,10.0,metric-learn,,,,['sklearn'],123.0,114.0,https://pypi.org/project/metric-learn,2020-07-02 12:59:23.000000,9.0,15467.0,15467.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n452,pandasql,yhat/pandasql,,data-containers,https://github.com/yhat/pandasql,https://github.com/yhat/pandasql,MIT,2013-02-18 01:53:56.000000,2020-08-14 13:00:13.000000,2017-02-01 15:40:30.000000,141.0,44.0,23.0,932,127.0,sqldf for pandas.,15.0,22,False,2016-04-20 21:52:36.000000,0.7.3,31.0,pandasql,,,,['pandas'],652.0,603.0,https://pypi.org/project/pandasql,2016-04-20 21:52:36.000000,49.0,183057.0,183057.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n453,bt,pmorissette/bt,,financial-data,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28.000000,2021-01-05 16:49:12.000000,2021-01-05 16:38:39.000000,246.0,52.0,161.0,920,374.0,bt - flexible backtesting for Python.,20.0,22,True,2018-05-28 17:12:46.000000,0.2.7,23.0,bt,,,,,62.0,42.0,https://pypi.org/project/bt,2018-05-28 17:12:46.000000,20.0,4258.0,4258.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n454,spacy-transformers,explosion/spacy-transformers,,nlp,https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000000,2021-01-06 07:45:40.000000,2021-01-06 01:47:37.000000,96.0,48.0,133.0,862,1239.0,\"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.\",14.0,22,True,2020-06-29 12:10:14.000000,0.6.2,33.0,spacy-transformers,,,,['spacy'],72.0,69.0,https://pypi.org/project/spacy-transformers,2020-10-14 12:35:57.000000,3.0,7761.0,7761.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n455,Alibi,SeldonIO/alibi,,interpretability,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Apache-2.0,2019-02-26 10:10:56.000000,2020-12-03 14:50:46.000000,2020-12-02 15:42:16.000000,101.0,64.0,73.0,848,226.0,Algorithms for monitoring and explaining machine learning models.,11.0,22,True,2020-10-20 14:14:29.000000,0.5.5,15.0,alibi,,,,,63.0,54.0,https://pypi.org/project/alibi,2020-10-20 14:13:40.000000,9.0,2525.0,2525.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n456,FinTA,peerchemist/finta,,financial-data,https://github.com/peerchemist/finta,https://github.com/peerchemist/finta,LGPL-3.0,2016-09-01 21:02:46.000000,2020-12-17 13:15:00.000000,2020-11-04 21:30:11.000000,276.0,7.0,58.0,778,364.0,Common financial technical indicators implemented in Pandas.,21.0,22,False,2020-10-21 11:36:19.000000,1.2,19.0,finta,,,,,53.0,51.0,https://pypi.org/project/finta,2020-10-21 11:39:44.000000,2.0,3379.0,3379.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n457,Neural Structured Learning,tensorflow/neural-structured-learning,,tensorflow-utils,https://github.com/tensorflow/neural-structured-learning,https://github.com/tensorflow/neural-structured-learning,Apache-2.0,2019-08-27 21:48:16.000000,2021-01-06 23:51:54.000000,2021-01-06 23:51:49.000000,136.0,5.0,38.0,762,346.0,Training neural models with structured signals.,25.0,22,True,2020-08-18 00:30:03.000000,1.3.1,7.0,neural-structured-learning,,,,['tensorflow'],18.0,18.0,https://pypi.org/project/neural-structured-learning,2020-08-18 00:35:35.000000,,1895.0,1895.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n458,Explainability 360,Trusted-AI/AIX360,,interpretability,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48.000000,2020-12-04 16:51:14.000000,2020-12-04 16:49:39.000000,160.0,26.0,18.0,750,305.0,Interpretability and explainability of data and machine learning models.,27.0,22,True,2020-10-28 09:32:21.000000,0.2.1,4.0,aix360,,,,,13.0,12.0,https://pypi.org/project/aix360,2020-10-28 09:18:17.000000,1.0,476.0,476.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n459,GPUtil,anderskm/gputil,,gpu-utilities,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43.000000,2020-10-01 05:42:49.000000,2019-08-16 09:00:15.000000,76.0,10.0,14.0,660,140.0,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,13.0,22,False,2018-12-18 09:12:13.000000,1.4.0,8.0,gputil,,,,,1030.0,928.0,https://pypi.org/project/gputil,2018-12-18 09:12:13.000000,102.0,59542.0,59542.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n460,Node2Vec,eliorc/node2vec,,graph,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000000,2020-11-28 08:59:52.000000,2020-11-28 08:54:36.000000,159.0,1.0,46.0,613,44.0,Implementation of the node2vec algorithm.,6.0,22,True,2020-11-28 08:59:52.000000,0.4.0,12.0,node2vec,conda-forge/node2vec,,,,112.0,107.0,https://pypi.org/project/node2vec,2020-11-28 08:57:22.000000,5.0,4446.0,4923.0,https://anaconda.org/conda-forge/node2vec,2020-04-25 22:41:13.714000,15282.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n461,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,,data-viz,https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14.000000,2020-11-27 08:30:55.000000,2020-11-27 08:28:43.000000,74.0,21.0,51.0,596,259.0,Bokeh Plotting Backend for Pandas and GeoPandas.,11.0,22,True,2020-11-27 08:29:09.000000,0.5.2,13.0,pandas-bokeh,,,,['pandas'],132.0,122.0,https://pypi.org/project/pandas-bokeh,2020-11-27 08:30:55.000000,10.0,6274.0,6274.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n462,PDPbox,SauceCat/PDPbox,,data-viz,https://github.com/SauceCat/PDPbox,https://github.com/SauceCat/PDPbox,MIT,2017-06-26 08:01:54.000000,2019-07-17 16:58:38.379000,2018-12-08 10:06:13.000000,80.0,35.0,17.0,523,223.0,python partial dependence plot toolbox.,7.0,22,False,2018-07-23 13:33:35.000000,0.2.0,2.0,pdpbox,conda-forge/pdpbox,,,,289.0,289.0,https://pypi.org/project/pdpbox,2018-07-23 13:33:35.000000,,44322.0,44623.0,https://anaconda.org/conda-forge/pdpbox,2019-07-17 16:58:38.379000,5430.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n463,Guild AI,guildai/guildai,,ml-experiments,https://github.com/guildai/guildai,https://github.com/guildai/guildai,Apache-2.0,2017-09-27 18:57:50.000000,2021-01-07 23:41:06.000000,2021-01-07 23:40:44.000000,44.0,93.0,144.0,517,4270.0,\"Experiment tracking, ML developer tools.\",16.0,22,True,2020-12-05 17:36:38.000000,0.7.1,158.0,guildai,,,,,25.0,25.0,https://pypi.org/project/guildai,2021-01-07 22:04:01.000000,,2906.0,2906.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n464,SDV,sdv-dev/SDV,,data-loading,https://github.com/sdv-dev/SDV,https://github.com/sdv-dev/SDV,MIT,2018-05-11 15:56:50.000000,2020-12-31 16:32:18.000000,2020-12-31 15:57:56.000000,53.0,41.0,128.0,298,754.0,\"Synthetic Data Generation for tabular, relational and time series data.\",32.0,22,True,2020-12-31 15:58:42.000000,0.6.1,34.0,sdv,,,,,12.0,12.0,https://pypi.org/project/sdv,2020-12-31 15:57:53.000000,0.0,1198.0,1198.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n465,vega,vega/ipyvega,,data-viz,https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000000,2021-01-04 10:19:04.000000,2021-01-04 10:19:01.000000,46.0,8.0,79.0,292,469.0,IPython/Jupyter notebook module for Vega and Vega-Lite.,9.0,22,True,2020-05-15 23:40:02.000000,3.4.0,37.0,vega,conda-forge/vega,,,['jupyter'],148.0,,https://pypi.org/project/vega,2020-05-15 23:40:02.000000,148.0,5163.0,11957.0,https://anaconda.org/conda-forge/vega,2020-12-10 15:03:57.175000,373713.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n466,pyvips,libvips/pyvips,,image,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000000,2020-12-27 23:03:46.000000,2020-12-27 23:01:11.000000,25.0,66.0,132.0,286,390.0,python binding for libvips using cffi.,10.0,22,True,2020-12-18 11:44:57.000000,2.1.14,20.0,pyvips,conda-forge/pyvips,,,,155.0,133.0,https://pypi.org/project/pyvips,2020-12-18 11:44:57.000000,22.0,3526.0,3872.0,https://anaconda.org/conda-forge/pyvips,2020-10-14 10:02:33.542000,5896.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n467,pysparkling,svenkreiss/pysparkling,,data-pipelines,https://github.com/svenkreiss/pysparkling,https://github.com/svenkreiss/pysparkling,MIT,2015-05-09 19:23:20.000000,2020-11-02 11:37:56.000000,2020-11-02 11:37:55.000000,43.0,2.0,20.0,233,1506.0,A pure Python implementation of Apache Spark's RDD and DStream interfaces.,9.0,22,True,2019-07-13 07:23:04.000000,0.6.0,67.0,pysparkling,,,,,62.0,55.0,https://pypi.org/project/pysparkling,2019-07-13 07:23:04.000000,7.0,5196.0,5196.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n468,SUOD,yzhao062/SUOD,,others,https://github.com/yzhao062/SUOD,https://github.com/yzhao062/SUOD,BSD-2-Clause,2019-11-20 00:23:54.000000,2020-12-27 16:23:50.000000,2020-12-27 16:23:45.000000,26.0,4.0,1.0,228,124.0,An Acceleration System for Large-scale Outlier Detection (Anomaly Detection).,1.0,22,True,2020-04-20 19:41:31.000000,0.0.4,5.0,suod,,,,,234.0,234.0,https://pypi.org/project/suod,2020-04-20 19:41:31.000000,,81698.0,81698.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n469,EarthPy,earthlab/earthpy,,geospatial-data,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000000,2021-01-07 21:19:13.000000,2020-12-03 23:03:15.000000,93.0,22.0,199.0,219,1066.0,A package built to support working with spatial data using open source python.,38.0,22,True,2020-06-18 23:58:08.000000,0.9.2,22.0,earthpy,conda-forge/earthpy,,,,75.0,72.0,https://pypi.org/project/earthpy,2020-06-18 23:58:08.000000,3.0,1841.0,3072.0,https://anaconda.org/conda-forge/earthpy,2020-06-19 15:23:44.425000,25865.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n470,TensorFlow Cloud,tensorflow/cloud,,tensorflow-utils,https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59.000000,2021-01-08 02:09:07.000000,2021-01-07 11:01:26.000000,41.0,41.0,25.0,213,493.0,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,16.0,22,True,2021-01-06 23:08:07.000000,0.1.11,14.0,tensorflow-cloud,,,,['tensorflow'],8.0,8.0,https://pypi.org/project/tensorflow-cloud,2021-01-06 23:08:07.000000,0.0,246315.0,246315.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n471,Orion,Epistimio/orion,,hyperopt,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21.000000,2020-12-30 12:43:33.000000,2020-12-23 03:20:49.000000,35.0,18.0,97.0,179,2421.0,Asynchronous Distributed Hyperparameter Optimization.,18.0,22,True,2020-12-04 17:08:50.000000,0.1.11,12.0,orion,,,,,47.0,39.0,https://pypi.org/project/orion,2020-12-04 17:08:50.000000,8.0,921.0,921.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n472,py3nvml,fbcotter/py3nvml,,gpu-utilities,https://github.com/fbcotter/py3nvml,https://github.com/fbcotter/py3nvml,BSD-3-Clause,2016-11-21 01:07:37.000000,2020-10-10 10:41:08.987000,2020-04-23 06:54:42.000000,24.0,2.0,9.0,160,79.0,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,6.0,22,True,2020-04-06 16:02:10.000000,0.2.6,13.0,py3nvml,conda-forge/py3nvml,,,,236.0,216.0,https://pypi.org/project/py3nvml,2020-04-06 16:02:10.000000,20.0,95273.0,96176.0,https://anaconda.org/conda-forge/py3nvml,2020-10-10 10:41:08.987000,10841.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n473,Recommenders,microsoft/recommenders,,recommender-systems,https://github.com/microsoft/recommenders,https://github.com/microsoft/recommenders,MIT,2018-09-19 10:06:07.000000,2021-01-05 12:26:47.000000,2021-01-04 11:10:33.000000,1544.0,107.0,428.0,8946,6261.0,Best Practices on Recommendation Systems.,88.0,21,True,2020-08-20 15:11:46.000000,2020.8,6.0,,,,,,1.0,1.0,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n474,cortex,cortexlabs/cortex,,model-serialisation,https://github.com/cortexlabs/cortex,https://github.com/cortexlabs/cortex,Apache-2.0,2019-01-24 04:43:14.000000,2021-01-07 23:04:52.000000,2021-01-07 23:00:43.000000,544.0,200.0,676.0,7172,1775.0,Run inference at scale.,18.0,21,True,2021-01-06 08:18:00.000000,0.26.0,44.0,cortex,,,,,0.0,,https://pypi.org/project/cortex,2021-01-06 08:09:51.000000,0.0,589.0,589.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n475,mace,XiaoMi/mace,,ml-frameworks,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12.000000,2020-12-23 12:23:52.000000,2020-12-23 10:07:32.000000,745.0,37.0,582.0,4262,3078.0,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,54.0,21,True,2020-12-23 12:23:52.000000,1.0.1,8.0,,,,,,,,,,,,44.0,,,,,,,,3.0,1292.0,,,,,,,,,,,,,,,,,,,\n476,MMF,facebookresearch/mmf,,image,https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40.000000,2021-01-07 22:05:20.000000,2021-01-07 05:55:23.000000,589.0,88.0,318.0,4031,757.0,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,50.0,21,True,2019-08-26 19:04:21.000000,0.3.1,11.0,mmf,,,,['pytorch'],6.0,6.0,https://pypi.org/project/mmf,2020-06-11 16:09:52.000000,,198.0,198.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n477,MatchZoo,NTMC-Community/MatchZoo,,nlp,https://github.com/NTMC-Community/MatchZoo,https://github.com/NTMC-Community/MatchZoo,Apache-2.0,2017-06-08 08:55:22.000000,2020-06-17 07:27:59.000000,2019-10-24 13:10:07.000000,858.0,27.0,427.0,3314,1808.0,\"Facilitating the design, comparison and sharing of deep text matching models.\",35.0,21,False,2019-10-24 13:09:11.000000,2.2.0,5.0,matchzoo,,,,['tensorflow'],9.0,9.0,https://pypi.org/project/matchzoo,2019-10-24 13:09:11.000000,,258.0,258.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n478,AdaNet,tensorflow/adanet,,hyperopt,https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24.000000,2020-07-09 21:03:28.000000,2020-07-09 20:51:04.000000,492.0,63.0,47.0,3219,439.0,Fast and flexible AutoML with learning guarantees.,26.0,21,True,2020-07-09 20:53:28.000000,0.9.0,13.0,adanet,,,,['tensorflow'],35.0,33.0,https://pypi.org/project/adanet,2020-07-09 21:03:28.000000,2.0,645.0,645.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n479,NLP Architect,IntelLabs/nlp-architect,,nlp,https://github.com/IntelLabs/nlp-architect,https://github.com/IntelLabs/nlp-architect,Apache-2.0,2018-05-17 21:00:13.000000,2021-01-07 16:18:36.000000,2021-01-07 16:18:35.000000,394.0,16.0,103.0,2565,948.0,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,35.0,21,True,2020-11-17 12:32:37.000000,0.5.5.1,13.0,nlp-architect,,,,,7.0,7.0,https://pypi.org/project/nlp-architect,2020-04-12 11:34:38.000000,,254.0,254.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n480,Image Super-Resolution,idealo/image-super-resolution,,image,https://github.com/idealo/image-super-resolution,https://github.com/idealo/image-super-resolution,Apache-2.0,2018-11-26 13:41:13.000000,2020-11-11 15:09:20.000000,2020-11-11 15:09:19.000000,458.0,48.0,95.0,2394,138.0,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,9.0,21,True,2020-01-08 15:37:35.000000,2.2.0,11.0,ISR,,idealo/image-super-resolution-gpu,,['tensorflow'],41.0,37.0,https://pypi.org/project/ISR,2020-01-08 15:37:35.000000,4.0,2664.0,2668.0,,,,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,,117.0,3.0,,,,,,,,,,,,,,,,,,,,\n481,tensorflow-graphics,tensorflow/graphics,,image,https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44.000000,2021-01-07 17:16:01.000000,2020-10-30 10:26:19.000000,265.0,87.0,81.0,2382,566.0,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,30.0,21,True,2020-05-20 19:56:41.000000,2020.5.20,21.0,tensorflow-graphics,,,,['tensorflow'],3.0,,https://pypi.org/project/tensorflow-graphics,2020-05-20 19:56:41.000000,3.0,967.0,967.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n482,Luminoth,tryolabs/luminoth,,image,https://github.com/tryolabs/luminoth,https://github.com/tryolabs/luminoth,BSD-3-Clause,2017-02-16 15:07:46.000000,2020-12-24 21:01:24.000000,2020-01-07 20:53:25.000000,400.0,50.0,127.0,2330,838.0,Deep Learning toolkit for Computer Vision.,15.0,21,True,2018-10-31 22:19:52.000000,0.2.3,10.0,luminoth,,,,['tensorflow'],27.0,27.0,https://pypi.org/project/luminoth,2018-11-09 21:35:17.000000,,544.0,828.0,,,,,,,,3.0,11105.0,,,,,,,,,,,,,,,,,,,\n483,Porcupine,Picovoice/Porcupine,,audio,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000000,2021-01-06 19:35:38.000000,2021-01-06 19:35:32.000000,326.0,10.0,265.0,2276,350.0,On-device wake word detection powered by deep learning.,25.0,21,True,2020-12-02 15:34:40.000000,1.9,13.0,pvporcupine,,,,,4.0,4.0,https://pypi.org/project/pvporcupine,2020-10-02 19:16:49.000000,0.0,916.0,916.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n484,DeepVariant,google/deepvariant,,medical-data,https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000000,2020-12-14 23:35:28.000000,2020-12-14 23:35:27.000000,520.0,3.0,363.0,2153,1503.0,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,19.0,21,True,2020-12-07 17:56:31.000000,1.1.0,15.0,,bioconda/deepvariant,,,['tensorflow'],,,,,,,801.0,https://anaconda.org/bioconda/deepvariant,2020-09-05 07:25:11.429000,25973.0,,,,,3.0,2962.0,,,,,,,,,,,,,,,,,,,\n485,TensorTrade,tensortrade-org/tensortrade,,financial-data,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32.000000,2021-01-06 20:35:53.000000,2021-01-06 20:35:52.000000,558.0,33.0,117.0,2113,851.0,\"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.\",46.0,21,True,,,25.0,tensortrade,,,,,11.0,10.0,https://pypi.org/project/tensortrade,2020-08-24 18:26:46.000000,1.0,851.0,851.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n486,Texar,asyml/texar,,nlp,https://github.com/asyml/texar,https://github.com/asyml/texar,Apache-2.0,2017-07-22 19:02:05.000000,2020-09-17 07:03:55.000000,2020-07-29 00:38:30.000000,329.0,32.0,126.0,2083,1719.0,\"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the..\",41.0,21,True,2019-11-19 04:11:18.000000,0.2.4,6.0,texar,,,,['tensorflow'],14.0,12.0,https://pypi.org/project/texar,2019-11-19 04:11:18.000000,2.0,64.0,64.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n487,TF Ranking,tensorflow/ranking,,recommender-systems,https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57.000000,2020-08-29 04:38:20.000000,2020-08-19 20:44:22.000000,352.0,22.0,193.0,2004,213.0,Learning to Rank in TensorFlow.,17.0,21,True,2020-08-19 21:58:05.000000,0.3.2,14.0,tensorflow_ranking,,,,['tensorflow'],1.0,,https://pypi.org/project/tensorflow_ranking,2020-08-19 21:14:13.000000,1.0,19401.0,19401.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n488,knockknock,huggingface/knockknock,,ml-experiments,https://github.com/huggingface/knockknock,https://github.com/huggingface/knockknock,MIT,2019-03-20 13:08:55.000000,2020-07-31 11:55:05.000000,2020-03-16 04:26:47.000000,155.0,12.0,21.0,1943,75.0,Knock Knock: Get notified when your training ends with only two additional lines of code.,18.0,21,True,2020-03-04 04:15:47.000000,0.1.8,10.0,knockknock,conda-forge/knockknock,,,,129.0,126.0,https://pypi.org/project/knockknock,2020-03-16 14:30:23.000000,3.0,1287.0,1636.0,https://anaconda.org/conda-forge/knockknock,2020-03-17 01:52:16.317000,5243.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n489,auto_ml,ClimbsRocks/auto_ml,,hyperopt,https://github.com/ClimbsRocks/auto_ml,https://github.com/ClimbsRocks/auto_ml,MIT,2016-08-07 21:35:08.000000,2020-12-29 07:56:49.000000,2018-03-25 19:46:25.000000,285.0,176.0,215.0,1512,1149.0,[UNMAINTAINED] Automated machine learning for analytics & production.,13.0,21,False,2018-02-22 01:13:03.000000,2.9.10,78.0,auto_ml,,,,,1.0,,https://pypi.org/project/auto_ml,2018-02-22 01:13:03.000000,1.0,2128.0,2128.0,,,,,,,,3.0,33.0,,,,,,,,,,,,,,,,,,,\n490,cleanlab,cgnorthcutt/cleanlab,,others,https://github.com/cgnorthcutt/cleanlab,https://github.com/cgnorthcutt/cleanlab,MIT,2018-05-11 01:55:21.000000,2020-12-11 06:18:10.000000,2020-12-11 06:18:09.000000,150.0,16.0,35.0,1398,695.0,The standard package for machine learning with noisy labels and finding mislabeled data in Python.,5.0,21,True,2020-02-17 07:33:06.000000,0.1.1,15.0,cleanlab,,,,,8.0,8.0,https://pypi.org/project/cleanlab,2020-02-17 07:33:06.000000,,2301.0,2301.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n491,Magnitude,plasticityai/magnitude,,nn-search,https://github.com/plasticityai/magnitude,https://github.com/plasticityai/magnitude,MIT,2018-02-24 07:28:16.000000,2020-07-17 20:19:50.000000,2020-07-17 20:19:46.000000,97.0,24.0,50.0,1374,350.0,\"A fast, efficient universal vector embedding utility package.\",4.0,21,True,2020-05-25 11:26:36.000000,0.1.143,128.0,pymagnitude,,,,,184.0,170.0,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36.000000,14.0,5549.0,5549.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n492,TensorFlow Privacy,tensorflow/privacy,,privacy-ml,https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000000,2021-01-07 14:02:40.000000,2021-01-07 14:02:37.000000,262.0,38.0,75.0,1299,431.0,Library for training machine learning models with privacy for training data.,33.0,21,True,2020-09-03 01:13:47.000000,.0.5.1,9.0,tensorflow-privacy,,,,['tensorflow'],1.0,,https://pypi.org/project/tensorflow-privacy,2020-09-03 01:10:15.000000,1.0,4120.0,4122.0,,,,,,,,2.0,41.0,,,,,,,,,,,,,,,,,,,\n493,Neural Tangents,google/neural-tangents,,ml-frameworks,https://github.com/google/neural-tangents,https://github.com/google/neural-tangents,Apache-2.0,2019-04-08 16:48:48.000000,2021-01-06 23:03:28.000000,2021-01-06 23:03:23.000000,138.0,25.0,49.0,1262,347.0,Fast and Easy Infinite Neural Networks in Python.,16.0,21,True,2020-11-18 04:34:54.000000,0.3.5,19.0,neural-tangents,,,,,12.0,12.0,https://pypi.org/project/neural-tangents,2020-11-18 04:23:35.000000,,598.0,609.0,,,,,,,,3.0,79.0,,,,,,,,,,,,,,,,,,,\n494,EfficientNets,rwightman/gen-efficientnet-pytorch,,pytorch-utils,https://github.com/rwightman/gen-efficientnet-pytorch,https://github.com/rwightman/gen-efficientnet-pytorch,Apache-2.0,2019-05-11 19:35:56.000000,2020-11-30 05:51:08.000000,2020-11-30 05:49:27.000000,164.0,,46.0,1221,106.0,\"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.\",5.0,21,True,2020-08-20 19:55:21.000000,1.0.0,9.0,geffnet,,,,['pytorch'],27.0,27.0,https://pypi.org/project/geffnet,2020-08-20 19:55:21.000000,,1088.0,1088.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n495,Pypeline,cgarciae/pypeln,,data-pipelines,https://github.com/cgarciae/pypeln,https://github.com/cgarciae/pypeln,MIT,2018-09-01 13:43:31.000000,2021-01-05 18:00:20.000000,2021-01-05 17:59:44.000000,66.0,12.0,35.0,1200,234.0,Concurrent data pipelines in Python .,9.0,21,True,2021-01-05 18:00:06.000000,0.4.7,34.0,pypeln,,,,,5.0,,https://pypi.org/project/pypeln,2021-01-05 18:00:06.000000,5.0,1981.0,1981.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n496,Torchmeta,tristandeleu/pytorch-meta,,pytorch-utils,https://github.com/tristandeleu/pytorch-meta,https://github.com/tristandeleu/pytorch-meta,MIT,2018-12-04 23:36:45.000000,2020-11-25 16:45:01.000000,2020-11-25 16:41:48.000000,128.0,19.0,69.0,1163,341.0,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.,10.0,21,True,2020-11-25 16:45:01.000000,1.6.1,26.0,torchmeta,,,,['pytorch'],23.0,23.0,https://pypi.org/project/torchmeta,2020-11-25 16:45:01.000000,,516.0,516.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n497,tensorrec,jfkirk/tensorrec,,recommender-systems,https://github.com/jfkirk/tensorrec,https://github.com/jfkirk/tensorrec,Apache-2.0,2017-02-28 18:51:11.000000,2020-07-30 02:47:12.000000,2020-02-04 21:10:25.000000,205.0,32.0,90.0,1114,334.0,A TensorFlow recommendation algorithm and framework in Python.,8.0,21,True,2019-04-02 00:53:47.000000,0.26.2,30.0,tensorrec,,,,['tensorflow'],23.0,22.0,https://pypi.org/project/tensorrec,2019-04-02 00:53:47.000000,1.0,1117.0,1117.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n498,Karate Club,benedekrozemberczki/karateclub,,graph,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56.000000,2020-12-21 20:52:07.000000,2020-12-21 20:51:56.000000,129.0,,46.0,1111,2094.0,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,11.0,21,False,2020-12-01 21:11:27.000000,_10022,95.0,karateclub,,,,,20.0,20.0,https://pypi.org/project/karateclub,2020-12-01 21:08:09.000000,,3105.0,3105.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n499,TFEncrypted,tf-encrypted/tf-encrypted,,privacy-ml,https://github.com/tf-encrypted/tf-encrypted,https://github.com/tf-encrypted/tf-encrypted,Apache-2.0,2018-03-21 18:22:13.000000,2020-11-19 15:48:03.000000,2020-08-19 16:56:56.000000,133.0,162.0,230.0,808,595.0,A Framework for Encrypted Machine Learning in TensorFlow.,28.0,21,True,2019-09-27 20:00:01.000000,0.5.9,35.0,tf-encrypted,,,,['tensorflow'],54.0,46.0,https://pypi.org/project/tf-encrypted,2019-10-21 18:05:53.000000,8.0,379.0,379.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n500,scikit-cuda,lebedov/scikit-cuda,,gpu-utilities,https://github.com/lebedov/scikit-cuda,https://github.com/lebedov/scikit-cuda,BSD-3-Clause,2010-09-27 02:02:07.000000,2020-07-13 12:48:39.000000,2020-07-13 12:47:46.000000,154.0,36.0,163.0,787,1026.0,Python interface to GPU-powered libraries.,44.0,21,True,2019-05-27 00:29:00.000000,0.5.3,7.0,scikit-cuda,,,,,143.0,112.0,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00.000000,31.0,550.0,550.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n501,iNNvestigate,albermax/innvestigate,,interpretability,https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20.000000,2020-12-30 15:22:24.000000,2020-10-16 15:26:56.000000,168.0,71.0,126.0,745,882.0,A toolbox to iNNvestigate neural networks' predictions!.,18.0,21,True,2019-03-19 14:31:31.000000,1.0.9,2.0,innvestigate,,,,['tensorflow'],43.0,42.0,https://pypi.org/project/innvestigate,2020-11-14 11:35:59.000000,1.0,376.0,376.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n502,AstroML,astroML/astroML,,others,https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50.000000,2020-09-09 15:52:15.000000,2020-09-09 15:52:13.000000,247.0,48.0,80.0,704,508.0,\"Machine learning, statistics, and data mining for astronomy and astrophysics.\",29.0,21,True,2019-10-02 06:32:58.000000,0.4.1,10.0,astroML,conda-forge/astroml,,,['sklearn'],187.0,158.0,https://pypi.org/project/astroML,2020-03-23 23:20:49.000000,29.0,543.0,1059.0,https://anaconda.org/conda-forge/astroml,2020-02-16 04:18:54.678000,21186.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n503,Madmom,CPJKU/madmom,,audio,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06.000000,2020-04-14 03:42:18.000000,2019-12-19 14:46:37.000000,117.0,43.0,177.0,700,1722.0,Python audio and music signal processing library.,19.0,21,False,2018-11-14 14:57:41.000000,0.16.1,11.0,madmom,,,,,122.0,114.0,https://pypi.org/project/madmom,2018-11-14 14:56:22.000000,8.0,1136.0,1136.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n504,ogb,snap-stanford/ogb,,graph,https://github.com/snap-stanford/ogb,https://github.com/snap-stanford/ogb,MIT,2019-11-22 22:13:57.000000,2021-01-05 04:28:10.000000,2020-12-29 18:20:58.000000,95.0,,84.0,697,394.0,\"Benchmark datasets, data loaders, and evaluators for graph machine learning.\",12.0,21,True,2020-12-29 18:13:08.000000,1.2.4,10.0,ogb,,,,,38.0,38.0,https://pypi.org/project/ogb,2020-12-29 18:08:55.000000,0.0,1590.0,1590.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n505,gmaps,pbugnion/gmaps,,geospatial-data,https://github.com/pbugnion/gmaps,https://github.com/pbugnion/gmaps,BSD-3-Clause,2014-12-01 09:12:06.000000,2020-10-13 07:09:18.000000,2019-07-22 06:22:45.000000,141.0,63.0,135.0,695,1380.0,Google maps for Jupyter notebooks.,16.0,21,False,2019-07-21 08:49:48.715000,0.9.0,93.0,gmaps,conda-forge/gmaps,,,['jupyter'],38.0,1.0,https://pypi.org/project/gmaps,2019-07-20 07:47:04.000000,37.0,3316.0,9038.0,https://anaconda.org/conda-forge/gmaps,2019-08-02 11:56:50.940000,200542.0,,,,,3.0,,,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715000,,1165.0,,,,,,,,,,,,\n506,Darts,unit8co/darts,,time-series-data,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000000,2021-01-07 20:25:00.000000,2020-11-09 15:33:02.000000,83.0,16.0,41.0,684,284.0,A python library for easy manipulation and forecasting of time series.,23.0,21,True,2020-11-09 16:00:41.000000,0.5.0,8.0,u8darts,,unit8/darts,,,11.0,11.0,https://pypi.org/project/u8darts,2020-11-09 16:00:41.000000,,917.0,919.0,,,,https://hub.docker.com/r/unit8/darts,2020-10-06 11:35:55.085411,,75.0,3.0,,,,,,,,,,,,,,,,,,,,\n507,TreeInterpreter,andosa/treeinterpreter,,interpretability,https://github.com/andosa/treeinterpreter,https://github.com/andosa/treeinterpreter,BSD-3-Clause,2015-08-02 20:26:21.000000,2020-10-03 02:17:19.000000,2020-06-22 18:40:46.000000,128.0,19.0,1.0,633,34.0,Package for interpreting scikit-learn's decision tree and random forest predictions.,10.0,21,True,2018-12-16 14:02:34.000000,0.2.2,4.0,treeinterpreter,,,,['sklearn'],114.0,110.0,https://pypi.org/project/treeinterpreter,2018-12-16 14:02:34.000000,4.0,70962.0,70962.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n508,Prince,MaxHalford/prince,,others,https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000000,2020-10-06 11:48:49.000000,2020-10-06 11:26:04.000000,108.0,25.0,64.0,548,178.0,\"Python factor analysis library (PCA, CA, MCA, MFA, FAMD).\",9.0,21,True,2020-10-06 11:26:47.000000,0.7.1,41.0,prince,,,,['sklearn'],100.0,97.0,https://pypi.org/project/prince,2020-10-06 11:26:47.000000,3.0,4249.0,4249.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n509,Sentinelsat,sentinelsat/sentinelsat,,geospatial-data,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26.000000,2021-01-06 12:25:30.000000,2020-12-28 20:01:10.000000,162.0,29.0,205.0,533,771.0,Search and download Copernicus Sentinel satellite images.,34.0,21,False,2020-06-12 07:15:51.000000,0.14,36.0,sentinelsat,,,,,178.0,156.0,https://pypi.org/project/sentinelsat,2020-06-12 07:08:37.000000,22.0,7442.0,7445.0,,,,,,,,3.0,189.0,,,,,,,,,,,,,,,,,,,\n510,pickleDB,patx/pickledb,,data-containers,https://github.com/patx/pickledb,https://github.com/patx/pickledb,BSD-3-Clause,2011-10-28 00:04:40.000000,2020-08-25 09:47:52.000000,2019-11-15 03:38:30.000000,92.0,16.0,39.0,529,105.0,pickleDB is an open source key-value store using Python's json module.,11.0,21,False,2019-01-13 22:40:32.000000,0.9.1,19.0,pickledb,,,,,536.0,434.0,https://pypi.org/project/pickledb,2019-01-13 22:40:32.000000,102.0,17385.0,17385.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n511,Pandas Summary,mouradmourafiq/pandas-summary,,data-containers,https://github.com/mouradmourafiq/pandas-summary,https://github.com/mouradmourafiq/pandas-summary,MIT,2016-03-25 21:59:32.000000,2019-08-24 21:10:25.000000,2019-08-24 21:10:24.000000,33.0,8.0,5.0,358,24.0,An extension to pandas dataframes describe function.,6.0,21,False,2016-08-30 07:54:59.000000,0.0.41,8.0,pandas-summary,,,,['pandas'],567.0,548.0,https://pypi.org/project/pandas-summary,2016-08-30 07:54:59.000000,19.0,19858.0,19858.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n512,Neuraxle,Neuraxio/Neuraxle,,hyperopt,https://github.com/Neuraxio/Neuraxle,https://github.com/Neuraxio/Neuraxle,Apache-2.0,2019-03-26 21:01:54.000000,2021-01-06 23:05:09.000000,2021-01-04 17:02:18.000000,39.0,116.0,130.0,349,1323.0,A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right..,7.0,21,True,2020-09-20 16:29:39.000000,0.5.6,18.0,neuraxle,,,,,17.0,17.0,https://pypi.org/project/neuraxle,2020-09-20 16:29:39.000000,0.0,297.0,297.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n513,PyTorch Sparse,rusty1s/pytorch_sparse,,pytorch-utils,https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53.000000,2021-01-03 09:23:19.000000,2021-01-03 09:23:12.000000,43.0,32.0,47.0,329,508.0,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,12.0,21,True,2020-11-02 10:42:59.000000,0.6.8,21.0,torch-sparse,,,,['pytorch'],17.0,,https://pypi.org/project/torch-sparse,2020-11-02 10:43:20.000000,17.0,4543.0,4543.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n514,torch-cluster,rusty1s/pytorch_cluster,,graph,https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06.000000,2021-01-03 16:07:26.000000,2021-01-03 16:07:22.000000,65.0,34.0,37.0,320,499.0,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,17.0,21,True,2020-10-31 14:42:35.000000,1.5.8,38.0,torch-cluster,,,,['pytorch'],16.0,,https://pypi.org/project/torch-cluster,2020-10-31 14:42:35.000000,16.0,3192.0,3192.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n515,BioPandas,rasbt/biopandas,,others,https://github.com/rasbt/biopandas,https://github.com/rasbt/biopandas,BSD-3-Clause,2015-11-21 00:00:14.000000,2021-01-01 17:08:09.000000,2021-01-01 17:08:08.000000,75.0,16.0,18.0,316,144.0,Working with molecular structures in pandas DataFrames.,7.0,21,True,2020-08-04 13:52:27.000000,0.2.7,11.0,biopandas,conda-forge/biopandas,,,['pandas'],50.0,47.0,https://pypi.org/project/biopandas,2020-08-04 13:49:59.000000,3.0,221.0,1469.0,https://anaconda.org/conda-forge/biopandas,2020-08-08 06:33:59.197000,61182.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n516,caer,jasmcaus/caer,,image,https://github.com/jasmcaus/caer,https://github.com/jasmcaus/caer,MIT,2020-08-06 18:36:14.000000,2021-01-07 17:11:46.000000,2021-01-07 17:11:39.000000,38.0,4.0,5.0,292,4756.0,\"A lightweight, scalable, GPU-accelerated Computer Vision library for high-performance AI research.\",2.0,21,True,2020-12-09 06:54:27.000000,1.9.4,105.0,caer,,,,,0.0,,https://pypi.org/project/caer,2020-12-09 06:52:51.000000,0.0,790847.0,790849.0,,,,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,,\n517,NIPY,nipy/nipy,,medical-data,https://github.com/nipy/nipy,https://github.com/nipy/nipy,DSDP,2010-05-02 10:00:33.000000,2020-11-24 19:22:47.000000,2020-10-14 22:51:30.000000,123.0,43.0,104.0,289,6371.0,Neuroimaging in Python FMRI analysis package.,63.0,21,False,2018-02-19 14:14:08.000000,0.4.2,6.0,nipy,conda-forge/nipy,,,,29.0,,https://pypi.org/project/nipy,2018-02-19 14:14:08.000000,29.0,733.0,2398.0,https://anaconda.org/conda-forge/nipy,2020-05-04 19:38:04.112000,69952.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n518,pymap3d,geospace-code/pymap3d,,geospatial-data,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03.000000,2020-12-23 03:44:01.000000,2020-12-23 03:43:54.000000,55.0,2.0,22.0,169,622.0,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,8.0,21,True,2020-09-21 15:20:10.000000,2.4.3,45.0,pymap3d,conda-forge/pymap3d,,,,3.0,,https://pypi.org/project/pymap3d,2020-09-21 15:16:49.000000,3.0,9973.0,10556.0,https://anaconda.org/conda-forge/pymap3d,2020-09-24 05:54:07.357000,5835.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n519,gokart,m3dev/gokart,,ml-experiments,https://github.com/m3dev/gokart,https://github.com/m3dev/gokart,MIT,2018-12-23 07:40:27.000000,2021-01-06 10:43:23.000000,2021-01-06 10:23:17.000000,30.0,9.0,20.0,155,310.0,A wrapper of the data pipeline library luigi.,24.0,21,True,2021-01-04 03:04:09.000000,0.3.22,46.0,gokart,,,,,30.0,28.0,https://pypi.org/project/gokart,2020-02-25 06:01:19.000000,2.0,552.0,552.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n520,Dejavu,worldveil/dejavu,,audio,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35.000000,2020-10-29 17:40:17.000000,2020-06-03 05:58:03.000000,1236.0,83.0,129.0,5281,146.0,Audio fingerprinting and recognition in Python.,23.0,20,True,2015-04-19 21:20:16.000000,0.1.3,4.0,PyDejavu,,,,,17.0,16.0,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16.000000,1.0,124.0,124.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n521,cuDF,rapidsai/cudf,,gpu-utilities,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000000,2021-01-08 01:32:47.000000,2021-01-07 19:37:25.000000,470.0,565.0,2700.0,3584,,cuDF - GPU DataFrame Library.,197.0,20,True,2020-12-10 17:28:54.000000,0.17.0,5.0,cudf,,,,,2.0,,https://pypi.org/project/cudf,2020-06-01 20:07:47.000000,2.0,770.0,770.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n522,DeepMatcher,anhaidgroup/deepmatcher,,nlp,https://github.com/anhaidgroup/deepmatcher,https://github.com/anhaidgroup/deepmatcher,BSD-3-Clause,2017-12-01 19:01:11.000000,2020-09-27 17:25:56.000000,2020-04-20 02:34:24.000000,1262.0,47.0,15.0,3353,169.0,Python package for performing Entity and Text Matching using Deep Learning.,7.0,20,True,2019-12-30 19:49:33.000000,0.1.1,9.0,deepmatcher,,,,,9.0,9.0,https://pypi.org/project/deepmatcher,2019-12-30 19:49:33.000000,,270.0,270.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n523,MindsDB,mindsdb/mindsdb,,ml-frameworks,https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,GPL-3.0,2018-08-02 17:56:45.000000,2021-01-06 13:57:14.000000,2020-12-25 08:31:25.000000,405.0,36.0,465.0,3125,,Predictive AI layer for existing databases.,55.0,20,False,2020-12-25 13:03:50.000000,2.17.1,42.0,mindsdb,,,,['pytorch'],3.0,,https://pypi.org/project/mindsdb,2019-03-19 05:07:23.000000,3.0,2625.0,2625.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n524,TRFL,deepmind/trfl,,reinforcement-learning,https://github.com/deepmind/trfl,https://github.com/deepmind/trfl,Apache-2.0,2018-08-08 14:44:11.000000,2020-11-06 04:44:44.000000,2020-04-20 13:05:56.000000,372.0,6.0,16.0,3060,116.0,TensorFlow Reinforcement Learning.,12.0,20,True,2020-04-20 14:11:57.000000,1.1.0,4.0,trfl,,,,['tensorflow'],38.0,36.0,https://pypi.org/project/trfl,2020-04-20 14:11:57.000000,2.0,664.0,664.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n525,DALI,NVIDIA/DALI,,gpu-utilities,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000000,2021-01-07 23:37:08.000000,2020-12-28 09:18:22.000000,363.0,182.0,585.0,3017,1644.0,A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep..,53.0,20,True,2020-12-30 12:56:47.000000,0.29.0,35.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n526,FATE,FederatedAI/FATE,,privacy-ml,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000000,2021-01-08 02:33:57.000000,2021-01-06 12:30:02.000000,777.0,255.0,520.0,2667,6605.0,An Industrial Grade Federated Learning Framework.,50.0,20,True,2020-11-13 13:36:14.000000,1.5.0,24.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n527,finmarketpy,cuemacro/finmarketpy,,financial-data,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03.000000,2021-01-07 18:30:44.000000,2021-01-07 18:30:38.000000,411.0,21.0,3.0,2423,645.0,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,14.0,20,True,2020-10-20 09:25:52.000000,0.11.7,8.0,finmarketpy,,,,,3.0,3.0,https://pypi.org/project/finmarketpy,2020-10-20 09:28:00.000000,,77.0,77.0,,,,,,,,3.0,39.0,,,,,,,,,,,,,,,,,,,\n528,NeMo,NVIDIA/NeMo,,nlp,https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000000,2021-01-08 01:38:37.000000,2021-01-05 00:47:54.000000,360.0,160.0,238.0,2294,,NeMo: a toolkit for conversational AI.,67.0,20,True,2020-07-10 00:01:18.000000,0.11.0,36.0,nemo-toolkit,,,,['pytorch'],4.0,,https://pypi.org/project/nemo-toolkit,2020-12-11 21:33:53.000000,4.0,1786.0,1861.0,,,,,,,,3.0,1200.0,,,,,,,,,,,,,,,,,,,\n529,Hummingbird,microsoft/hummingbird,,model-serialisation,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000000,2021-01-08 01:34:15.000000,2021-01-08 01:17:08.000000,150.0,49.0,129.0,2121,,Hummingbird compiles trained ML models into tensor computation for faster inference.,17.0,20,True,2021-01-04 22:16:04.000000,0.2.1,9.0,hummingbird-ml,,,,,12.0,12.0,https://pypi.org/project/hummingbird-ml,2021-01-04 22:14:22.000000,,835.0,846.0,,,,,,,,3.0,88.0,,,,,,,,,,,,,,,,,,,\n530,Texthero,jbesomi/texthero,,nlp,https://github.com/jbesomi/texthero,https://github.com/jbesomi/texthero,MIT,2020-04-06 15:16:05.000000,2020-12-09 16:49:27.000000,2020-11-03 07:58:36.000000,177.0,73.0,48.0,2027,267.0,\"Text preprocessing, representation and visualization from zero to hero.\",18.0,20,True,2020-07-06 20:32:28.000000,1.0.9,9.0,texthero,,,,,,,https://pypi.org/project/texthero,2020-07-06 20:29:25.000000,,2640.0,2646.0,,,,,,,,3.0,61.0,,,,,,,,,,,,,,,,,,,\n531,Kashgari,BrikerMan/Kashgari,,nlp,https://github.com/BrikerMan/Kashgari,https://github.com/BrikerMan/Kashgari,Apache-2.0,2019-01-19 01:53:28.000000,2020-12-09 02:13:33.000000,2020-10-29 08:08:00.000000,373.0,32.0,297.0,1989,,Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-..,19.0,20,True,2020-10-30 12:37:01.000000,2.0.1,23.0,kashgari-tf,,,,['tensorflow'],20.0,19.0,https://pypi.org/project/kashgari-tf,2019-06-26 12:27:50.000000,1.0,152.0,152.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n532,AmpliGraph,Accenture/AmpliGraph,,graph,https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05.000000,2020-08-25 17:19:24.000000,2020-08-25 17:00:58.000000,154.0,18.0,155.0,1403,895.0,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,14.0,20,True,2020-08-25 17:06:46.000000,1.3.2,11.0,ampligraph,,,,['tensorflow'],9.0,9.0,https://pypi.org/project/ampligraph,2020-08-25 16:59:58.000000,,500.0,500.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n533,DELTA,Delta-ML/delta,,nlp,https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57.000000,2021-01-07 16:17:41.359387,2020-12-17 06:57:15.000000,269.0,9.0,65.0,1361,932.0,DELTA is a deep learning based natural language and speech processing platform.,41.0,20,True,2020-07-16 09:31:45.000000,0.3.3,4.0,delta-nlp,,zh794390558/delta,,['tensorflow'],,,https://pypi.org/project/delta-nlp,2020-03-27 04:46:19.000000,,18.0,600.0,,,,https://hub.docker.com/r/zh794390558/delta,2021-01-07 16:17:41.359387,,11655.0,3.0,,,,,,,,,,,,,,,,,,,,\n534,reformer-pytorch,lucidrains/reformer-pytorch,,pytorch-utils,https://github.com/lucidrains/reformer-pytorch,https://github.com/lucidrains/reformer-pytorch,MIT,2020-01-09 20:42:37.000000,2020-12-11 17:49:44.000000,2020-12-11 17:49:36.000000,158.0,1.0,92.0,1293,236.0,\"Reformer, the efficient Transformer, in Pytorch.\",9.0,20,True,2020-12-06 23:07:32.000000,1.2.4,132.0,reformer-pytorch,,,,['pytorch'],,,https://pypi.org/project/reformer-pytorch,2020-12-06 23:08:09.000000,,1086.0,1086.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n535,ThunderSVM,Xtra-Computing/thundersvm,,ml-frameworks,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04.000000,2020-12-14 03:08:11.000000,2020-12-14 03:08:11.000000,164.0,42.0,144.0,1251,896.0,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,33.0,20,True,2020-03-13 12:36:30.000000,0.3.12,9.0,thundersvm,,,,,,,https://pypi.org/project/thundersvm,2020-03-13 12:36:30.000000,,363.0,404.0,,,,,,,,3.0,2092.0,,,,,,,,,,,,,,,,,,,\n536,db.py,yhat/db.py,,db-clients,https://github.com/yhat/db.py,https://github.com/yhat/db.py,BSD-2-Clause,2014-10-26 15:36:57.000000,2019-12-13 18:00:10.000000,2017-03-31 14:41:30.000000,110.0,32.0,21.0,1206,233.0,db.py is an easier way to interact with your databases.,24.0,20,False,2017-03-31 14:41:57.000000,0.5.3,35.0,db.py,,,,,19.0,,https://pypi.org/project/db.py,2017-03-31 14:41:57.000000,19.0,612.0,612.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n537,datatable,h2oai/datatable,,data-containers,https://github.com/h2oai/datatable,https://github.com/h2oai/datatable,MPL-2.0,2017-03-03 02:32:59.000000,2020-12-22 20:01:37.000000,2020-12-18 17:52:58.000000,95.0,112.0,1101.0,1083,,A Python package for manipulating 2-dimensional tabular data structures.,28.0,20,True,2020-12-10 09:10:50.000000,0.11.1,15.0,datatable,,,,,6.0,,https://pypi.org/project/datatable,2020-12-10 08:04:03.000000,6.0,17628.0,17645.0,,,,,,,,3.0,733.0,,,,,,,,,,,,,,,,,,,\n538,FARM,deepset-ai/FARM,,nlp,https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12.000000,2021-01-07 17:34:49.000000,2021-01-07 15:28:07.000000,146.0,32.0,282.0,1066,513.0,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,29.0,20,True,2020-12-30 11:45:23.000000,0.6.0,20.0,farm,,,,['pytorch'],2.0,,https://pypi.org/project/farm,2020-12-30 08:59:30.000000,2.0,4913.0,4913.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n539,Classy Vision,facebookresearch/ClassyVision,,image,https://github.com/facebookresearch/ClassyVision,https://github.com/facebookresearch/ClassyVision,MIT,2019-09-13 22:54:44.000000,2021-01-06 01:05:25.000000,2021-01-06 01:05:18.000000,186.0,46.0,40.0,1038,317.0,An end-to-end PyTorch framework for image and video classification.,53.0,20,True,2020-11-20 16:42:56.000000,0.5.0,15.0,classy_vision,conda-forge/classy_vision,,,['pytorch'],,,https://pypi.org/project/classy_vision,2020-11-20 21:02:29.000000,,227.0,681.0,https://anaconda.org/conda-forge/classy_vision,2020-12-11 20:08:25.437000,5448.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n540,Sockeye,awslabs/sockeye,,nlp,https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30.000000,2021-01-06 23:09:02.000000,2021-01-06 15:22:12.000000,287.0,18.0,218.0,980,731.0,Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet.,52.0,20,True,2020-11-18 13:41:36.000000,2.3.2,59.0,sockeye,,,,['mxnet'],2.0,,https://pypi.org/project/sockeye,2020-11-05 14:07:57.000000,2.0,539.0,539.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n541,TensorNets,taehoonlee/tensornets,,tensorflow-utils,https://github.com/taehoonlee/tensornets,https://github.com/taehoonlee/tensornets,MIT,2017-09-19 05:19:01.000000,2021-01-02 06:28:10.000000,2021-01-02 06:26:24.000000,182.0,14.0,42.0,972,284.0,High level network definitions with pre-trained weights in TensorFlow.,6.0,20,True,2020-03-31 04:38:27.000000,0.4.6,12.0,tensornets,,,,['tensorflow'],31.0,29.0,https://pypi.org/project/tensornets,2020-03-31 04:35:15.000000,2.0,296.0,296.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n542,Skater,oracle/Skater,,interpretability,https://github.com/oracle/Skater,https://github.com/oracle/Skater,UPL-1.0,2017-01-26 05:45:42.000000,2020-11-01 15:57:12.273000,2020-06-29 20:07:12.000000,156.0,62.0,97.0,961,1101.0,Python Library for Model Interpretation/Explanations.,34.0,20,False,2018-09-21 07:03:32.000000,1.1.2,23.0,skater,conda-forge/skater,,,,,,https://pypi.org/project/skater,2018-09-21 07:03:32.000000,,6871.0,7618.0,https://anaconda.org/conda-forge/skater,2020-11-01 15:57:12.273000,32145.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n543,Haiku,deepmind/dm-haiku,,ml-frameworks,https://github.com/deepmind/dm-haiku,https://github.com/deepmind/dm-haiku,Apache-2.0,2020-02-18 07:14:02.000000,2021-01-07 14:47:57.000000,2021-01-07 14:47:24.000000,64.0,18.0,47.0,889,439.0,JAX-based neural network library.,32.0,20,True,2020-11-24 11:25:05.000000,0.0.3,5.0,,,,,,55.0,55.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n544,attention-ocr,emedvedev/attention-ocr,,ocr,https://github.com/emedvedev/attention-ocr,https://github.com/emedvedev/attention-ocr,MIT,2017-07-21 18:35:19.000000,2020-10-31 19:40:20.000000,2020-10-31 19:40:19.000000,225.0,16.0,125.0,822,196.0,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,27.0,20,True,2020-10-12 06:56:40.000000,0.7.6,21.0,aocr,,,,['tensorflow'],15.0,15.0,https://pypi.org/project/aocr,2019-04-19 05:28:27.000000,,143.0,143.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n545,nude.py,hhatto/nude.py,,image,https://github.com/hhatto/nude.py,https://github.com/hhatto/nude.py,MIT,2013-06-09 06:55:55.000000,2020-11-23 13:49:32.000000,2020-11-23 13:49:02.000000,128.0,6.0,2.0,785,79.0,Nudity detection with Python.,12.0,20,True,2020-11-23 13:49:17.000000,0.5.1,10.0,nudepy,,,,,62.0,53.0,https://pypi.org/project/nudepy,2020-11-23 13:49:17.000000,9.0,563.0,563.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n546,tf-explain,sicara/tf-explain,,interpretability,https://github.com/sicara/tf-explain,https://github.com/sicara/tf-explain,MIT,2019-07-15 08:26:24.000000,2021-01-05 16:15:09.000000,2021-01-05 16:15:08.000000,67.0,33.0,41.0,748,193.0,Interpretability Methods for tf.keras models with Tensorflow 2.x.,12.0,20,True,2020-02-14 09:00:00.000000,0.2.1,6.0,tf-explain,,,,['tensorflow'],59.0,58.0,https://pypi.org/project/tf-explain,2020-02-14 09:04:51.000000,1.0,961.0,961.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n547,keras-ocr,faustomorales/keras-ocr,,ocr,https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50.000000,2020-12-11 02:31:17.000000,2020-11-26 17:18:25.000000,165.0,27.0,95.0,734,161.0,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,9.0,20,True,2020-11-26 17:19:39.000000,0.8.6,26.0,keras-ocr,,,,['tensorflow'],1.0,,https://pypi.org/project/keras-ocr,2020-11-26 17:19:39.000000,1.0,1498.0,4616.0,,,,,,,,3.0,12473.0,,,,,,,,,,,,,,,,,,,\n548,mljar-supervised,mljar/mljar-supervised,,hyperopt,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000000,2021-01-07 08:59:28.000000,2021-01-07 08:59:27.000000,96.0,51.0,199.0,715,697.0,Automates Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning.,7.0,20,True,2020-12-17 14:04:49.000000,0.7.15,49.0,mljar-supervised,,,,,8.0,8.0,https://pypi.org/project/mljar-supervised,2020-12-17 14:03:27.000000,,2859.0,2859.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n549,Opacus,pytorch/opacus,,privacy-ml,https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000000,2021-01-07 05:42:17.000000,2021-01-06 21:33:32.000000,90.0,5.0,47.0,698,199.0,Training PyTorch models with differential privacy.,23.0,20,True,2020-12-17 17:30:40.000000,0.11.0,6.0,opacus,,,,['pytorch'],9.0,9.0,https://pypi.org/project/opacus,2020-12-17 17:30:40.000000,,733.0,736.0,,,,,,,,3.0,30.0,,,,,,,,,,,,,,,,,,,\n550,RecBole,RUCAIBox/RecBole,,recommender-systems,https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000000,2021-01-07 16:16:28.000000,2021-01-07 16:16:27.000000,94.0,23.0,37.0,674,2600.0,\"A unified, comprehensive and efficient recommendation library.\",27.0,20,True,2020-12-06 08:38:29.000000,0.1.2,3.0,recbole,aibox/recbole,,,['pytorch'],,,https://pypi.org/project/recbole,2020-12-06 08:38:29.000000,,89.0,167.0,https://anaconda.org/aibox/recbole,2020-12-06 10:21:07.722000,157.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n551,NeuPy,itdxer/neupy,,ml-frameworks,https://github.com/itdxer/neupy,https://github.com/itdxer/neupy,MIT,2015-08-24 19:45:11.000000,2020-01-15 08:04:33.000000,2019-09-02 19:02:38.000000,142.0,26.0,229.0,662,1145.0,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,6.0,20,False,2019-04-04 19:44:59.000000,0.8.2,34.0,neupy,,,,,109.0,99.0,https://pypi.org/project/neupy,2019-04-04 19:43:06.000000,10.0,1018.0,1018.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n552,mlens,flennerhag/mlens,,others,https://github.com/flennerhag/mlens,https://github.com/flennerhag/mlens,MIT,2017-01-10 20:53:47.000000,2020-02-25 14:32:48.000000,2020-02-25 14:31:53.000000,81.0,8.0,73.0,662,879.0,ML-Ensemble high performance ensemble learning.,7.0,20,True,2018-10-30 22:34:35.000000,0.2.3,14.0,mlens,,,,,94.0,94.0,https://pypi.org/project/mlens,2018-10-30 22:30:43.000000,,1124.0,1124.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n553,NearPy,pixelogik/NearPy,,nn-search,https://github.com/pixelogik/NearPy,https://github.com/pixelogik/NearPy,MIT,2013-04-25 09:10:26.000000,2020-02-17 20:24:08.000000,2018-10-21 17:54:28.000000,135.0,22.0,38.0,658,159.0,\"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..\",18.0,20,False,2016-09-27 13:04:44.000000,1.0.0,8.0,NearPy,,,,,63.0,48.0,https://pypi.org/project/NearPy,2016-09-27 13:03:12.000000,15.0,1790.0,1790.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n554,finetune,IndicoDataSolutions/finetune,,nlp,https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16.000000,2021-01-06 19:43:36.000000,2021-01-06 19:43:32.000000,67.0,18.0,115.0,631,1201.0,Scikit-learn style model finetuning for NLP.,18.0,20,True,2019-11-07 19:42:32.000000,0.8.6,37.0,finetune,,,,\"['tensorflow', 'sklearn']\",11.0,9.0,https://pypi.org/project/finetune,2020-01-10 22:42:24.000000,2.0,187.0,187.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n555,TensorBoard Logger,TeamHG-Memex/tensorboard_logger,,ml-experiments,https://github.com/TeamHG-Memex/tensorboard_logger,https://github.com/TeamHG-Memex/tensorboard_logger,MIT,2016-10-27 14:02:25.000000,2020-10-27 20:51:06.000000,2019-10-21 07:52:07.000000,52.0,9.0,15.0,610,46.0,Log TensorBoard events without touching TensorFlow.,5.0,20,False,2018-02-08 07:28:51.000000,0.1.0,5.0,tensorboard_logger,,,,,42.0,,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51.000000,42.0,75398.0,75398.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n556,pdpipe,pdpipe/pdpipe,,data-pipelines,https://github.com/pdpipe/pdpipe,https://github.com/pdpipe/pdpipe,MIT,2017-01-24 20:37:22.000000,2020-11-17 08:57:21.000000,2020-11-17 08:57:20.000000,29.0,6.0,14.0,575,341.0,Easy pipelines for pandas DataFrames.,8.0,20,True,2020-11-09 09:32:37.000000,0.0.53,49.0,pdpipe,,,,['pandas'],21.0,21.0,https://pypi.org/project/pdpipe,2020-11-09 09:32:37.000000,,985.0,985.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n557,torch-scatter,rusty1s/pytorch_scatter,,pytorch-utils,https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23.000000,2021-01-04 16:44:56.000000,2021-01-03 09:23:39.000000,72.0,59.0,104.0,572,804.0,PyTorch Extension Library of Optimized Scatter Operations.,13.0,20,True,2020-06-24 09:29:12.000000,2.0.5,24.0,torch-scatter,,,,['pytorch'],16.0,,https://pypi.org/project/torch-scatter,2020-02-22 16:51:10.000000,16.0,5367.0,5367.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n558,Mapbox GL,mapbox/mapboxgl-jupyter,,geospatial-data,https://github.com/mapbox/mapboxgl-jupyter,https://github.com/mapbox/mapboxgl-jupyter,MIT,2017-08-08 15:10:51.000000,2019-12-13 22:49:07.000000,2019-12-03 21:57:25.000000,119.0,34.0,67.0,551,220.0,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,20.0,20,False,2019-06-03 21:24:10.000000,0.10.2,20.0,mapboxgl,,,,['jupyter'],106.0,88.0,https://pypi.org/project/mapboxgl,2019-06-02 15:18:57.000000,18.0,5099.0,5099.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n559,alibi-detect,SeldonIO/alibi-detect,,others,https://github.com/SeldonIO/alibi-detect,https://github.com/SeldonIO/alibi-detect,Apache-2.0,2019-10-07 13:29:13.000000,2021-01-06 15:19:17.000000,2021-01-05 15:58:41.000000,53.0,30.0,41.0,503,307.0,\"Algorithms for outlier and adversarial instance detection, concept drift and metrics.\",7.0,20,True,2020-12-23 10:49:47.000000,0.4.4,9.0,alibi-detect,,,,,18.0,17.0,https://pypi.org/project/alibi-detect,2020-10-08 09:57:19.000000,1.0,1049.0,1049.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n560,Studio.ml,studioml/studio,,ml-experiments,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28.000000,2021-01-08 01:39:50.000000,2021-01-04 04:16:39.000000,48.0,56.0,187.0,367,2313.0,Studio: Simplify and expedite model building process.,21.0,20,True,2021-01-04 04:30:14.000000,0.0.37,174.0,studioml,,,,,2.0,2.0,https://pypi.org/project/studioml,2021-01-08 01:39:50.000000,,1050.0,1050.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n561,PyNNDescent,lmcinnes/pynndescent,,nn-search,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000000,2021-01-05 20:38:26.000000,2021-01-05 20:38:19.000000,43.0,26.0,29.0,352,456.0,A Python nearest neighbor descent for approximate nearest neighbors.,10.0,20,True,2020-11-19 20:20:48.000000,0.5.1,20.0,pynndescent,conda-forge/pynndescent,,,,3.0,,https://pypi.org/project/pynndescent,2020-11-19 20:20:48.000000,3.0,5884.0,6931.0,https://anaconda.org/conda-forge/pynndescent,2020-11-19 22:20:12.326000,19910.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n562,Labml,lab-ml/labml,,ml-experiments,https://github.com/lab-ml/labml,https://github.com/lab-ml/labml,MIT,2018-11-16 09:34:48.000000,2021-01-07 09:02:19.000000,2021-01-07 09:02:18.000000,31.0,,6.0,345,879.0,Monitor PyTorch & TensorFlow model training from your mobile phone.,5.0,20,True,2021-01-05 14:27:33.000000,0.4.88,65.0,labml,,,,,20.0,20.0,https://pypi.org/project/labml,2021-01-05 14:27:33.000000,0.0,1021.0,1021.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n563,MedPy,loli/medpy,,medical-data,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34.000000,2020-05-01 15:25:39.000000,2020-05-01 15:25:38.000000,104.0,8.0,65.0,309,324.0,Medical image processing in Python.,13.0,20,False,2019-02-14 17:12:59.000000,0.4.0,6.0,MedPy,,,,,220.0,213.0,https://pypi.org/project/MedPy,2019-02-14 17:12:59.000000,7.0,2679.0,2679.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n564,sklearn-evaluation,edublancas/sklearn-evaluation,,interpretability,https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2015-09-04 16:33:42.000000,2020-12-28 15:14:00.000000,2020-12-28 15:10:09.000000,25.0,8.0,27.0,286,504.0,\"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook..\",5.0,20,True,2020-12-28 15:14:25.000000,0.5.4,16.0,sklearn-evaluation,,,,['sklearn'],28.0,26.0,https://pypi.org/project/sklearn-evaluation,2020-12-28 15:13:44.000000,2.0,275.0,275.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n565,Submit it,facebookincubator/submitit,,distributed-ml,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09.000000,2021-01-07 16:08:48.000000,2021-01-07 16:08:46.000000,16.0,9.0,12.0,284,36.0,Python 3.6+ toolbox for submitting jobs to Slurm.,8.0,20,True,2020-11-19 12:53:49.000000,1.1.5,8.0,submitit,conda-forge/submitit,,,,71.0,71.0,https://pypi.org/project/submitit,2020-12-01 08:14:16.000000,0.0,2158.0,2301.0,https://anaconda.org/conda-forge/submitit,2020-11-19 14:06:58.416000,719.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n566,Queries,gmr/queries,,db-clients,https://github.com/gmr/queries,https://github.com/gmr/queries,BSD-3-Clause,2012-08-24 16:12:55.000000,2020-11-04 14:26:15.000000,2020-08-07 16:32:54.000000,27.0,3.0,12.0,231,334.0,PostgreSQL database access simplified.,11.0,20,True,2020-03-09 17:40:07.000000,2.1.0,29.0,queries,,,,,108.0,83.0,https://pypi.org/project/queries,2020-03-09 17:40:07.000000,25.0,826.0,826.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n567,StaticFrame,InvestmentSystems/static-frame,,data-containers,https://github.com/InvestmentSystems/static-frame,https://github.com/InvestmentSystems/static-frame,MIT,2018-01-03 15:07:52.000000,2021-01-07 19:23:02.000000,2021-01-07 19:22:47.000000,20.0,34.0,232.0,206,2202.0,\"The StaticFrame library defines the Series and Frame, immutable data structures for one- and two-dimensional..\",14.0,20,True,2021-01-04 18:51:56.000000,0.7.11,94.0,static-frame,conda-forge/static-frame,,,,5.0,5.0,https://pypi.org/project/static-frame,2021-01-04 18:51:56.000000,,1241.0,3817.0,https://anaconda.org/conda-forge/static-frame,2021-01-05 04:52:00.562000,59248.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n568,Auto ViML,AutoViML/Auto_ViML,,hyperopt,https://github.com/AutoViML/Auto_ViML,https://github.com/AutoViML/Auto_ViML,Apache-2.0,2019-06-10 13:09:15.000000,2021-01-04 21:54:14.000000,2021-01-04 21:51:37.000000,49.0,3.0,13.0,193,283.0,Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome...,6.0,20,True,2020-12-26 04:11:51.000000,0.1.676,125.0,autoviml,,,,,13.0,13.0,https://pypi.org/project/autoviml,2021-01-04 21:54:14.000000,,766.0,766.0,,,,,,,,3.0,,True,,,,,,,,,,,,,,,,,,\n569,stop-words,Alir3z4/python-stop-words,,nlp,https://github.com/Alir3z4/python-stop-words,https://github.com/Alir3z4/python-stop-words,BSD-3-Clause,2014-05-26 06:44:03.000000,2019-10-16 15:01:43.000000,2018-07-23 21:04:09.000000,20.0,3.0,9.0,121,90.0,Get list of common stop words in various languages in Python.,8.0,20,False,2018-07-23 20:58:34.000000,2018.7.23,8.0,stop-words,,,,,1255.0,1051.0,https://pypi.org/project/stop-words,2018-07-23 20:55:55.000000,204.0,40860.0,40860.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n570,filedepot,amol-/depot,,db-clients,https://github.com/amol-/depot,https://github.com/amol-/depot,MIT,2014-06-04 10:27:12.000000,2020-07-27 18:27:16.000000,2020-07-27 18:22:42.000000,33.0,6.0,33.0,119,257.0,Toolkit for storing files and attachments in web applications.,18.0,20,False,2020-07-27 18:26:46.000000,0.8.0,23.0,filedepot,,,,,311.0,223.0,https://pypi.org/project/filedepot,2020-07-27 18:27:16.000000,88.0,2063.0,2063.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n571,graph-nets,deepmind/graph_nets,,graph,https://github.com/deepmind/graph_nets,https://github.com/deepmind/graph_nets,Apache-2.0,2018-08-31 08:19:28.000000,2020-12-04 17:43:48.000000,2020-12-04 17:43:47.000000,716.0,9.0,101.0,4729,47.0,Build Graph Nets in Tensorflow.,11.0,19,True,2020-01-29 16:00:25.000000,1.1.0,7.0,graph-nets,,,,['tensorflow'],7.0,,https://pypi.org/project/graph-nets,2020-01-29 16:00:25.000000,7.0,778.0,778.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n572,Qlib,microsoft/qlib,,financial-data,https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000000,2021-01-07 10:30:19.000000,2021-01-07 10:30:18.000000,525.0,49.0,44.0,3524,,\"Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research,..\",25.0,19,True,2020-12-12 09:59:16.000000,0.6.1,15.0,pyqlib,,,,['pytorch'],,,https://pypi.org/project/pyqlib,2020-12-12 09:59:16.000000,,2838.0,2885.0,,,,,,,,3.0,191.0,,,,,,,,,,,,,,,,,,,\n573,AdaBound,Luolc/AdaBound,,pytorch-utils,https://github.com/Luolc/AdaBound,https://github.com/Luolc/AdaBound,Apache-2.0,2019-02-15 18:05:20.000000,2019-03-06 17:01:52.000000,2019-03-06 17:01:45.000000,317.0,16.0,7.0,2825,27.0,An optimizer that trains as fast as Adam and as good as SGD.,2.0,19,False,2019-03-06 16:44:42.000000,0.0.5,4.0,adabound,,,,['pytorch'],100.0,94.0,https://pypi.org/project/adabound,2019-02-26 04:23:45.000000,6.0,953.0,953.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n574,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,,graph,https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16.000000,2020-12-18 18:07:19.000000,2020-12-18 18:07:13.000000,358.0,31.0,97.0,2635,141.0,Generate embeddings from large-scale graph-structured data.,19.0,19,True,2019-10-14 16:45:11.000000,1.0.0,3.0,torchbiggraph,,,,['pytorch'],4.0,,https://pypi.org/project/torchbiggraph,2019-05-01 21:31:13.000000,4.0,240.0,244.0,,,,,,,,3.0,101.0,,,,,,,,,,,,,,,,,,,\n575,BytePS,bytedance/byteps,,distributed-ml,https://github.com/bytedance/byteps,https://github.com/bytedance/byteps,Apache-2.0,2019-06-25 07:00:13.000000,2020-12-31 06:41:21.000000,2020-12-29 08:06:14.000000,363.0,72.0,133.0,2626,409.0,A high performance and generic framework for distributed DNN training.,16.0,19,True,2020-08-27 15:42:13.000000,0.2.4,7.0,byteps,,bytepsimage/tensorflow,,,,,https://pypi.org/project/byteps,2020-11-04 00:05:46.000000,,81.0,130.0,,,,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,946.0,3.0,,,,,,,,,,,,,,,,,,,,\n576,StreamAlert,airbnb/streamalert,,others,https://github.com/airbnb/streamalert,https://github.com/airbnb/streamalert,Apache-2.0,2017-01-22 01:10:56.000000,2020-10-27 21:18:35.000000,2020-10-05 21:15:11.000000,281.0,90.0,247.0,2442,1892.0,\"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data..\",30.0,19,True,2020-10-05 21:50:56.000000,3.4.1,27.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n577,Apache Singa,apache/singa,,distributed-ml,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000000,2020-12-11 05:57:25.000000,2020-12-11 05:55:13.000000,570.0,49.0,32.0,2160,2261.0,a distributed deep learning platform.,70.0,19,True,2020-04-21 08:01:08.000000,3.0.0,13.0,,nusdbsystem/singa,apache/singa,,,,,,,,,7.0,https://anaconda.org/nusdbsystem/singa,2020-10-19 07:39:55.213000,240.0,https://hub.docker.com/r/apache/singa,2019-06-04 04:32:52.195956,2.0,165.0,3.0,,,,,,,,,,,,,,,,,,,,\n578,DeepWalk,phanein/deepwalk,,graph,https://github.com/phanein/deepwalk,https://github.com/phanein/deepwalk,GPL-3.0,2014-08-23 03:38:20.000000,2020-04-02 01:05:36.000000,2020-04-02 01:05:35.000000,755.0,29.0,78.0,2149,46.0,DeepWalk - Deep Learning for Graphs.,10.0,19,False,2018-04-29 21:05:18.000000,1.0.3,4.0,deepwalk,,,,,42.0,35.0,https://pypi.org/project/deepwalk,2018-04-29 21:05:18.000000,7.0,1258.0,1258.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n579,Coach,IntelLabs/coach,,reinforcement-learning,https://github.com/IntelLabs/coach,https://github.com/IntelLabs/coach,Apache-2.0,2017-10-01 19:27:43.000000,2020-12-21 12:46:30.000000,2020-12-15 08:02:16.000000,374.0,80.0,181.0,1889,512.0,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,34.0,19,True,2019-10-10 14:17:10.000000,1.0.1,13.0,rl_coach,,,,,1.0,,https://pypi.org/project/rl_coach,2019-10-10 14:17:10.000000,1.0,144.0,144.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n580,cuML,rapidsai/cuml,,gpu-utilities,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000000,2021-01-07 22:37:27.000000,2021-01-07 22:37:26.000000,300.0,629.0,868.0,1872,,cuML - RAPIDS Machine Learning Library.,118.0,19,True,2020-12-10 21:50:49.000000,0.17.0,5.0,cuml,,,,,,,https://pypi.org/project/cuml,2019-04-11 16:57:48.000000,,297.0,297.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n581,HiPlot,facebookresearch/hiplot,,data-viz,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41.000000,2020-12-31 14:26:56.000000,2020-12-31 14:19:47.000000,88.0,5.0,41.0,1840,109.0,HiPlot makes understanding high dimensional data easy.,6.0,19,True,2020-11-30 11:40:56.000000,0.1.22,33.0,hiplot,conda-forge/hiplot,,,,2.0,2.0,https://pypi.org/project/hiplot,2020-12-23 15:11:20.000000,0.0,2088.0,5757.0,https://anaconda.org/conda-forge/hiplot,2020-12-23 17:16:15.884000,40364.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n582,PARL,PaddlePaddle/PARL,,reinforcement-learning,https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22.000000,2021-01-08 02:15:03.000000,2021-01-05 10:56:12.000000,403.0,45.0,148.0,1765,1.0,A high-performance distributed training framework for Reinforcement Learning.,20.0,19,True,2020-12-20 00:50:44.000000,1.4,15.0,parl,,,,['paddle'],65.0,65.0,https://pypi.org/project/parl,2020-12-20 01:07:28.000000,,397.0,397.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n583,riko,nerevu/riko,,data-pipelines,https://github.com/nerevu/riko,https://github.com/nerevu/riko,MIT,2016-06-02 12:22:51.000000,2020-08-14 18:29:28.000000,2020-08-14 16:47:45.000000,70.0,22.0,8.0,1551,1257.0,A Python stream processing engine modeled after Yahoo! Pipes.,18.0,19,True,2020-08-14 18:29:28.000000,0.66.0,58.0,riko,,,,,1.0,,https://pypi.org/project/riko,2020-08-14 18:29:28.000000,1.0,215.0,215.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n584,DLTK,DLTK/DLTK,,medical-data,https://github.com/DLTK/DLTK,https://github.com/DLTK/DLTK,Apache-2.0,2017-05-02 15:40:36.000000,2020-11-13 17:17:16.000000,2019-01-21 14:01:28.000000,379.0,7.0,24.0,1232,379.0,Deep Learning Toolkit for Medical Image Analysis.,9.0,19,False,,,5.0,dltk,,,,['tensorflow'],17.0,17.0,https://pypi.org/project/dltk,2018-02-26 17:43:57.000000,,65.0,65.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n585,doc2text,jlsutherland/doc2text,,ocr,https://github.com/jlsutherland/doc2text,https://github.com/jlsutherland/doc2text,MIT,2016-08-28 19:30:02.000000,2020-12-01 22:56:27.000000,2020-12-01 22:56:26.000000,92.0,12.0,9.0,1226,62.0,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,5.0,19,True,2016-09-06 21:59:21.000000,0.2.4,5.0,doc2text,,,,,32.0,32.0,https://pypi.org/project/doc2text,2016-09-06 21:59:21.000000,,265.0,265.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n586,Sweetviz,fbdesignpro/sweetviz,,data-viz,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47.000000,2020-12-10 14:32:35.000000,2020-12-10 14:30:47.000000,132.0,21.0,43.0,1183,77.0,\"Visualize and compare datasets, target values and associations, with one line of code.\",6.0,19,True,2020-12-10 14:32:35.000000,2.0.4,22.0,sweetviz,,,,,,,https://pypi.org/project/sweetviz,2020-12-10 14:32:35.000000,,8063.0,8063.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n587,TaskTiger,closeio/tasktiger,,data-pipelines,https://github.com/closeio/tasktiger,https://github.com/closeio/tasktiger,MIT,2015-05-14 00:26:32.000000,2020-12-23 18:56:06.000000,2020-12-17 16:07:11.000000,58.0,30.0,31.0,1036,250.0,Python task queue using Redis.,19.0,19,True,2019-10-29 19:32:58.000000,0.10.1,22.0,tasktiger,,,,,28.0,19.0,https://pypi.org/project/tasktiger,2020-06-18 22:08:56.000000,9.0,413.0,413.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n588,Torch Points 3D,nicolas-chaulet/torch-points3d,,image,https://github.com/nicolas-chaulet/torch-points3d,https://github.com/nicolas-chaulet/torch-points3d,BSD-3-Clause,2019-12-06 11:33:34.000000,2021-01-05 09:42:10.000000,2021-01-05 09:39:46.000000,144.0,41.0,150.0,970,1567.0,Pytorch framework for doing deep learning on point clouds.,19.0,19,True,2020-12-18 10:33:50.000000,1.2.0,13.0,torch-points3d,,,,['pytorch'],2.0,2.0,https://pypi.org/project/torch-points3d,2020-12-18 10:34:16.000000,,306.0,306.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n589,gplearn,trevorstephens/gplearn,,others,https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14.000000,2020-02-15 08:12:38.000000,2020-02-15 08:12:17.000000,150.0,28.0,114.0,903,146.0,\"Genetic Programming in Python, with a scikit-learn inspired API.\",10.0,19,True,2019-06-01 02:04:52.000000,0.4.1,5.0,gplearn,,,,['sklearn'],124.0,117.0,https://pypi.org/project/gplearn,2019-06-01 02:04:52.000000,7.0,1084.0,1084.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n590,Databolt Flow,d6t/d6tflow,,data-pipelines,https://github.com/d6t/d6tflow,https://github.com/d6t/d6tflow,MIT,2019-02-03 01:51:22.000000,2021-01-01 18:15:45.000000,2020-12-19 21:46:11.000000,64.0,5.0,11.0,890,106.0,Python library for building highly effective data science workflows.,10.0,19,True,2020-10-19 04:14:45.000000,0.2.2,19.0,d6tflow,,,,,12.0,12.0,https://pypi.org/project/d6tflow,2020-12-19 22:37:20.000000,,188.0,188.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n591,geoplotlib,andrea-cuttone/geoplotlib,,geospatial-data,https://github.com/andrea-cuttone/geoplotlib,https://github.com/andrea-cuttone/geoplotlib,MIT,2015-02-24 13:13:07.000000,2020-04-10 20:00:31.000000,2019-05-06 07:06:50.000000,143.0,23.0,18.0,887,159.0,python toolbox for visualizing geographical data and making maps.,8.0,19,False,2016-07-27 14:55:01.000000,0.3.2,4.0,geoplotlib,,,,,94.0,85.0,https://pypi.org/project/geoplotlib,2016-07-27 14:55:01.000000,9.0,863.0,863.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n592,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,,pytorch-utils,https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000000,2021-01-07 21:01:07.000000,2021-01-07 21:00:59.000000,71.0,3.0,14.0,872,489.0,PyTorch extensions for fast R&D prototyping and Kaggle farming.,5.0,19,True,2020-08-19 10:33:17.000000,0.4.0,18.0,pytorch_toolbelt,,,,['pytorch'],1.0,,https://pypi.org/project/pytorch_toolbelt,2020-08-19 10:33:17.000000,1.0,6396.0,6396.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n593,Paddle Graph Learning,PaddlePaddle/PGL,,graph,https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28.000000,2020-12-29 02:54:01.000000,2020-12-14 07:02:53.000000,114.0,14.0,28.0,858,349.0,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,17.0,19,True,2020-12-18 16:59:53.000000,2.0.0a,6.0,pgl,,,,['paddle'],11.0,9.0,https://pypi.org/project/pgl,2020-11-20 06:23:47.000000,2.0,722.0,722.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n594,TensorFrames,databricks/tensorframes,,distributed-ml,https://github.com/databricks/tensorframes,https://github.com/databricks/tensorframes,Apache-2.0,2016-03-04 19:25:19.000000,2020-11-13 17:47:02.000000,2019-11-15 21:43:53.000000,159.0,51.0,43.0,768,221.0,[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark.,16.0,19,False,2018-11-16 20:50:02.000000,0.6.0,6.0,tensorframes,,,,\"['tensorflow', 'spark']\",,,https://pypi.org/project/tensorframes,2018-05-16 14:20:28.000000,,5430.0,5430.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n595,TabNet,dreamquark-ai/tabnet,,pytorch-utils,https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000000,2021-01-06 23:00:34.000000,2021-01-02 13:45:13.000000,132.0,30.0,96.0,711,158.0,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,17.0,19,True,2020-12-15 12:44:24.000000,3.0.0,15.0,pytorch-tabnet,,,,['pytorch'],,,https://pypi.org/project/pytorch-tabnet,2020-12-15 12:44:24.000000,,4246.0,4246.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n596,YouTokenToMe,vkcom/youtokentome,,nlp,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28.000000,2020-10-01 23:24:11.000000,2020-02-13 09:49:37.000000,42.0,21.0,20.0,706,76.0,Unsupervised text tokenizer focused on computational efficiency.,6.0,19,True,2020-02-13 09:57:47.000000,1.0.6,14.0,youtokentome,,,,,99.0,93.0,https://pypi.org/project/youtokentome,2020-02-12 18:24:46.000000,6.0,5886.0,5886.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n597,TF Recommenders,tensorflow/recommenders,,recommender-systems,https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01.000000,2020-12-29 20:25:24.000000,2020-12-29 20:25:14.000000,69.0,27.0,42.0,685,,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,16.0,19,True,2020-12-22 19:24:59.000000,0.3.2,7.0,tensorflow-recommenders,,,,['tensorflow'],10.0,10.0,https://pypi.org/project/tensorflow-recommenders,2020-12-22 19:24:59.000000,,3576.0,3576.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n598,NGT,yahoojapan/NGT,,nn-search,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000000,2020-11-17 22:33:08.000000,2020-11-17 22:32:45.000000,67.0,7.0,66.0,607,113.0,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,10.0,19,True,2020-08-19 04:31:59.000000,1.12.2,45.0,ngt,,,,,3.0,,https://pypi.org/project/ngt,2020-09-23 06:52:45.000000,3.0,3286.0,3286.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n599,pytorch-forecasting,jdb78/pytorch-forecasting,,time-series-data,https://github.com/jdb78/pytorch-forecasting,https://github.com/jdb78/pytorch-forecasting,MIT,2020-07-03 13:05:24.000000,2021-01-07 17:29:19.000000,2021-01-07 17:29:17.000000,56.0,23.0,61.0,564,569.0,Time series forecasting with PyTorch.,11.0,19,True,2021-01-03 14:40:32.000000,0.8.0,21.0,pytorch-forecasting,,,,,,,https://pypi.org/project/pytorch-forecasting,2021-01-03 14:40:32.000000,,2975.0,2975.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n600,PFRL,pfnet/pfrl,,reinforcement-learning,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50.000000,2021-01-07 14:05:57.000000,2021-01-06 00:43:43.000000,58.0,22.0,21.0,478,319.0,PFRL: a PyTorch-based deep reinforcement learning library.,10.0,19,True,2020-12-17 04:57:58.000000,0.2.1,4.0,pfrl,,,,,4.0,4.0,https://pypi.org/project/pfrl,2020-12-17 05:00:25.000000,,522.0,522.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n601,N2,kakao/n2,,nn-search,https://github.com/kakao/n2,https://github.com/kakao/n2,Apache-2.0,2017-11-23 02:27:59.000000,2020-10-21 05:15:27.000000,2020-10-21 05:14:11.000000,51.0,17.0,21.0,445,242.0,TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets.,17.0,19,True,2020-10-16 03:43:47.000000,0.1.7,8.0,n2,,,,,14.0,12.0,https://pypi.org/project/n2,2020-10-16 02:48:11.000000,2.0,348.0,348.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n602,HpBandSter,automl/HpBandSter,,hyperopt,https://github.com/automl/HpBandSter,https://github.com/automl/HpBandSter,BSD-3-Clause,2017-12-17 20:28:20.000000,2020-09-06 09:54:54.000000,2019-03-26 09:26:28.000000,90.0,53.0,34.0,436,187.0,a distributed Hyperband implementation on Steroids.,11.0,19,False,2019-07-30 12:47:43.000000,1.0,6.0,hpbandster,,,,,120.0,104.0,https://pypi.org/project/hpbandster,2018-10-24 09:31:01.000000,16.0,5237.0,5237.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n603,Poutyne,GRAAL-Research/poutyne,,pytorch-utils,https://github.com/GRAAL-Research/poutyne,https://github.com/GRAAL-Research/poutyne,LGPL-3.0,2017-12-07 18:30:17.000000,2021-01-08 00:00:43.000000,2020-12-24 16:52:02.000000,47.0,12.0,33.0,421,495.0,A simplified framework and utilities for PyTorch.,15.0,19,False,2020-12-24 17:01:16.000000,1.2,18.0,poutyne,,,,['pytorch'],52.0,50.0,https://pypi.org/project/poutyne,2020-12-24 17:02:00.000000,2.0,862.0,862.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n604,Feature Engine,solegalli/feature_engine,,others,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2018-12-31 01:47:18.000000,2021-01-06 23:05:47.000000,2021-01-06 18:44:45.000000,124.0,29.0,69.0,414,99.0,Feature engineering package with sklearn like functionality.,19.0,19,True,2020-12-31 13:08:09.000000,1.0.0,23.0,feature_engine,conda-forge/feature_engine,,,,2.0,,https://pypi.org/project/feature_engine,2020-12-31 13:08:09.000000,2.0,13252.0,13470.0,https://anaconda.org/conda-forge/feature_engine,2020-12-31 14:05:59.365000,1093.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n605,pivottablejs,nicolaskruchten/jupyter_pivottablejs,,data-viz,https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,MIT,2015-09-09 13:39:18.000000,2018-12-04 14:43:26.000000,2018-12-04 14:43:25.000000,54.0,16.0,37.0,409,32.0,\"Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js.\",3.0,19,False,2018-01-15 18:14:37.000000,0.9.0,10.0,pivottablejs,,,,['jupyter'],152.0,138.0,https://pypi.org/project/pivottablejs,2018-01-15 18:14:37.000000,14.0,7410.0,7410.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n606,seglearn,dmbee/seglearn,,time-series-data,https://github.com/dmbee/seglearn,https://github.com/dmbee/seglearn,BSD-3-Clause,2018-03-05 20:53:59.000000,2020-11-08 14:51:01.000000,2020-11-08 14:45:42.000000,46.0,6.0,18.0,409,264.0,Python module for machine learning time series:.,13.0,19,True,2020-04-02 15:26:06.000000,1.2.1,20.0,seglearn,,,,,7.0,6.0,https://pypi.org/project/seglearn,2020-04-02 15:26:06.000000,1.0,1747.0,1747.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n607,MXBoard,awslabs/mxboard,,ml-experiments,https://github.com/awslabs/mxboard,https://github.com/awslabs/mxboard,Apache-2.0,2018-02-06 23:03:51.000000,2020-01-24 23:21:56.000000,2020-01-24 23:21:55.000000,46.0,16.0,15.0,331,42.0,Logging MXNet data for visualization in TensorBoard.,9.0,19,True,2018-05-22 20:25:51.000000,0.1.0,12.0,mxboard,,,,['mxnet'],92.0,91.0,https://pypi.org/project/mxboard,2018-05-22 20:25:51.000000,1.0,2710.0,2710.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n608,AutoViz,AutoViML/AutoViz,,data-viz,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06.000000,2020-12-21 03:22:01.000000,2020-12-21 03:21:52.000000,54.0,3.0,16.0,277,97.0,\"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..\",10.0,19,True,2020-12-10 02:33:19.000000,0.0.81,26.0,autoviz,,,,,26.0,26.0,https://pypi.org/project/autoviz,2020-12-10 02:33:19.000000,,1070.0,1070.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n609,PyKEEN,pykeen/pykeen,,graph,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000000,2020-12-23 14:14:49.000000,2020-12-22 16:20:55.000000,43.0,34.0,57.0,273,2255.0,A Python library for learning and evaluating knowledge graph embeddings.,17.0,19,True,2020-10-21 11:59:14.000000,1.0.5,31.0,pykeen,,,,,1.0,,https://pypi.org/project/pykeen,2020-08-25 14:33:23.000000,1.0,283.0,290.0,,,,,,,,3.0,49.0,,,,,,,,,,,,,,,,,,,\n610,textpipe,textpipe/textpipe,,nlp,https://github.com/textpipe/textpipe,https://github.com/textpipe/textpipe,MIT,2018-06-21 16:23:32.000000,2021-01-04 07:55:07.000000,2020-10-12 08:19:03.000000,17.0,20.0,24.0,259,366.0,Textpipe: clean and extract metadata from text.,27.0,19,True,2020-10-12 08:24:19.000000,0.12.1,38.0,textpipe,,,,,8.0,7.0,https://pypi.org/project/textpipe,2020-10-12 08:24:19.000000,1.0,406.0,406.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n611,pyfasttext,vrasneur/pyfasttext,,nlp,https://github.com/vrasneur/pyfasttext,https://github.com/vrasneur/pyfasttext,GPL-3.0,2017-06-30 18:44:42.000000,2018-12-08 15:32:09.000000,2018-12-08 15:02:12.000000,31.0,19.0,28.0,229,153.0,Yet another Python binding for fastText.,4.0,19,False,2018-12-08 15:02:54.000000,0.4.6,13.0,pyfasttext,,,,,132.0,127.0,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09.000000,5.0,2361.0,2368.0,,,,,,,,3.0,317.0,,,,,,,,,,,,,,,,,,,\n612,recmetrics,statisticianinstilettos/recmetrics,,recommender-systems,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49.000000,2020-12-03 21:21:02.000000,2020-12-03 21:21:00.000000,52.0,7.0,7.0,222,233.0,A library of metrics for evaluating recommender systems.,12.0,19,True,2019-02-10 16:12:38.000000,0.0.9,11.0,recmetrics,,,,,16.0,16.0,https://pypi.org/project/recmetrics,2019-02-10 16:12:38.000000,,794.0,794.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n613,fletcher,xhochy/fletcher,,data-containers,https://github.com/xhochy/fletcher,https://github.com/xhochy/fletcher,MIT,2018-03-04 16:44:22.000000,2020-12-29 14:05:18.481000,2020-12-29 11:55:14.000000,32.0,33.0,39.0,206,509.0,Pandas ExtensionDType/Array backed by Apache Arrow.,23.0,19,True,2020-12-29 11:55:52.000000,0.7.1,14.0,fletcher,conda-forge/fletcher,,,['pandas'],2.0,2.0,https://pypi.org/project/fletcher,2020-12-07 20:33:59.000000,0.0,409.0,1014.0,https://anaconda.org/conda-forge/fletcher,2020-12-29 14:05:18.481000,18141.0,,,,,3.0,12.0,,,,,,,,,,,,,,,,,,,\n614,Glow,projectglow/glow,,medical-data,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47.000000,2021-01-07 23:29:27.000000,2021-01-06 16:00:04.000000,41.0,22.0,41.0,151,296.0,An open-source toolkit for large-scale genomic analysis.,11.0,19,True,2020-09-10 18:38:52.000000,0.6.0,9.0,glow.py,,,,,,,https://pypi.org/project/glow.py,2020-09-10 01:15:03.000000,,1361.0,1361.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n615,Crypto Signals,CryptoSignal/crypto-signal,,financial-data,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24.000000,2020-12-29 14:48:31.000000,2020-09-03 12:26:48.000000,637.0,43.0,187.0,2394,563.0,\"Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 2,100 + stars, 580 + forks.\",25.0,18,True,,,,,,shadowreaver/crypto-signal,,,,,,,,,1019.0,,,,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133,8.0,40794.0,3.0,,,,,,,,,,,,,,,,,,,,\n616,Spotlight,maciejkula/spotlight,,recommender-systems,https://github.com/maciejkula/spotlight,https://github.com/maciejkula/spotlight,MIT,2017-06-25 18:52:19.000000,2020-11-15 08:21:28.000000,2020-02-09 21:03:48.000000,366.0,64.0,48.0,2381,299.0,Deep recommender models using PyTorch.,11.0,18,True,2019-09-08 10:19:53.000000,0.1.6,7.0,,maciejkula/spotlight,,,['pytorch'],,,,,,,137.0,https://anaconda.org/maciejkula/spotlight,2018-05-27 18:32:12.235000,5892.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n617,NeuroNER,Franck-Dernoncourt/NeuroNER,,nlp,https://github.com/Franck-Dernoncourt/NeuroNER,https://github.com/Franck-Dernoncourt/NeuroNER,MIT,2017-03-07 01:24:15.000000,2020-11-13 18:07:48.000000,2019-10-02 23:26:11.000000,440.0,78.0,67.0,1521,132.0,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,7.0,18,False,2019-10-02 23:30:15.000000,1.0.8,7.0,pyneuroner,,,,,8.0,8.0,https://pypi.org/project/pyneuroner,2019-10-02 23:30:15.000000,,87.0,87.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n618,Higher,facebookresearch/higher,,pytorch-utils,https://github.com/facebookresearch/higher,https://github.com/facebookresearch/higher,Apache-2.0,2019-09-06 18:58:36.000000,2020-11-23 06:15:24.000000,2020-10-28 16:53:07.000000,73.0,23.0,46.0,1023,28.0,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,6.0,18,True,2020-07-14 12:20:32.000000,0.2.1,2.0,higher,,,,['pytorch'],27.0,27.0,https://pypi.org/project/higher,2020-07-14 12:20:32.000000,,729.0,729.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n619,Bounter,RaRe-Technologies/bounter,,data-containers,https://github.com/RaRe-Technologies/bounter,https://github.com/RaRe-Technologies/bounter,MIT,2017-07-18 07:24:15.000000,2020-08-17 06:37:51.000000,2020-08-16 11:55:16.000000,48.0,11.0,9.0,891,152.0,Efficient Counter that uses a limited (bounded) amount of memory regardless of data size.,8.0,18,True,2019-01-17 09:39:52.000000,1.1.1,7.0,bounter,,,,,34.0,20.0,https://pypi.org/project/bounter,2020-08-17 06:37:51.000000,14.0,306.0,306.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n620,Fiber,uber/fiber,,distributed-ml,https://github.com/uber/fiber,https://github.com/uber/fiber,Apache-2.0,2020-01-07 18:16:24.000000,2020-10-06 14:39:41.000000,2020-10-06 14:39:12.000000,88.0,12.0,5.0,829,60.0,Distributed Computing for AI Made Simple.,5.0,18,True,2020-07-09 03:28:28.000000,0.2.1,6.0,fiber,,,,,18.0,17.0,https://pypi.org/project/fiber,2020-07-09 03:28:28.000000,1.0,1139.0,1139.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n621,calamari,Calamari-OCR/calamari,,ocr,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,Apache-2.0,2018-03-20 15:22:29.000000,2021-01-07 14:00:07.000000,2020-12-21 08:28:04.000000,161.0,20.0,132.0,757,260.0,Line based ATR Engine based on OCRopy.,17.0,18,True,2020-03-29 13:38:21.000000,1.0.5,22.0,calamari_ocr,,,,,2.0,,https://pypi.org/project/calamari_ocr,2018-11-13 11:24:45.000000,2.0,381.0,381.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n622,Norfair,tryolabs/norfair,,image,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000000,2020-12-22 05:04:27.000000,2020-12-22 05:04:25.000000,42.0,5.0,11.0,736,242.0,Lightweight Python library for adding real-time 2D object tracking to any detector.,7.0,18,True,2020-12-07 18:34:32.000000,0.1.8,9.0,norfair,,,,,,,https://pypi.org/project/norfair,2020-12-07 18:34:32.000000,,212.0,212.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n623,pytorch2keras,nerox8664/pytorch2keras,,model-serialisation,https://github.com/nerox8664/pytorch2keras,https://github.com/nerox8664/pytorch2keras,MIT,2017-11-16 20:21:43.000000,2020-05-14 10:03:56.000000,2020-05-14 10:03:04.000000,111.0,39.0,65.0,651,277.0,PyTorch to Keras model convertor.,11.0,18,True,2020-05-14 10:03:56.000000,0.2.4,23.0,pytorch2keras,,,,,18.0,17.0,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56.000000,1.0,469.0,469.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n624,Test Tube,williamFalcon/test-tube,,hyperopt,https://github.com/williamFalcon/test-tube,https://github.com/williamFalcon/test-tube,MIT,2017-09-06 02:14:57.000000,2020-04-11 20:36:36.000000,2020-03-17 22:44:47.000000,59.0,22.0,21.0,644,642.0,Python library to easily log experiments and parallelize hyperparameter search for neural networks.,16.0,18,True,2019-12-01 00:47:35.000000,0.7.4,53.0,test_tube,,,,,5.0,,https://pypi.org/project/test_tube,2018-12-12 22:45:59.000000,5.0,7394.0,7394.0,,,,,,,,3.0,7.0,,,,,,,,,,,,,,,,,,,\n625,FairScale,facebookresearch/fairscale,,distributed-ml,https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000000,2021-01-08 00:33:57.000000,2021-01-07 18:54:29.000000,40.0,26.0,55.0,617,191.0,PyTorch extensions for high performance and large scale training.,18.0,18,True,2021-01-07 18:59:10.000000,0.1.4,8.0,fairscale,,,,['pytorch'],,,https://pypi.org/project/fairscale,2021-01-07 18:16:47.000000,,904.0,904.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n626,Torchbearer,pytorchbearer/torchbearer,,ml-frameworks,https://github.com/pytorchbearer/torchbearer,https://github.com/pytorchbearer/torchbearer,MIT,2018-03-12 16:30:42.000000,2020-02-17 21:18:06.000000,2020-02-17 21:18:01.000000,62.0,8.0,237.0,579,427.0,torchbearer: A model fitting library for PyTorch.,13.0,18,True,2020-01-31 14:07:22.000000,0.5.3,24.0,torchbearer,,,,['pytorch'],40.0,37.0,https://pypi.org/project/torchbearer,2020-01-31 14:05:56.000000,3.0,253.0,253.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n627,vecstack,vecxoz/vecstack,,others,https://github.com/vecxoz/vecstack,https://github.com/vecxoz/vecstack,MIT,2016-11-08 13:23:21.000000,2020-09-14 08:31:07.000000,2019-10-30 09:27:48.000000,66.0,,34.0,570,189.0,Python package for stacking (machine learning technique).,1.0,18,False,2019-08-12 16:09:01.000000,0.4.0,6.0,vecstack,,,,,98.0,94.0,https://pypi.org/project/vecstack,2019-08-12 16:01:22.000000,4.0,791.0,791.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n628,baikal,alegonz/baikal,,others,https://github.com/alegonz/baikal,https://github.com/alegonz/baikal,BSD-3-Clause,2019-01-21 12:59:02.000000,2021-01-07 23:27:00.000000,2020-11-15 13:39:20.000000,28.0,4.0,11.0,569,393.0,A graph-based functional API for building complex scikit-learn pipelines.,1.0,18,True,2020-05-17 12:40:17.000000,0.4.2,7.0,baikal,conda-forge/cython-blis,,,,2.0,2.0,https://pypi.org/project/baikal,2020-11-15 13:40:18.000000,,40.0,17413.0,https://anaconda.org/conda-forge/cython-blis,2020-12-07 11:23:01.451000,382215.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n629,pyhsmm,mattjj/pyhsmm,,probabilistics,https://github.com/mattjj/pyhsmm,https://github.com/mattjj/pyhsmm,MIT,2012-03-18 17:40:13.000000,2020-09-29 20:58:26.000000,2020-08-24 17:03:59.000000,148.0,34.0,60.0,475,1426.0,Bayesian inference in HSMMs and HMMs.,13.0,18,True,2017-05-10 17:14:37.000000,0.1.7,8.0,pyhsmm,,,,,21.0,17.0,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37.000000,4.0,77.0,77.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n630,What-If Tool,PAIR-code/what-if-tool,,interpretability,https://github.com/PAIR-code/what-if-tool,https://github.com/PAIR-code/what-if-tool,Apache-2.0,2018-09-07 20:26:10.000000,2021-01-06 14:07:41.000000,2020-12-22 13:44:23.000000,88.0,36.0,33.0,410,289.0,Source code/webpage/demos for the What-If Tool.,18.0,18,True,2020-06-28 14:23:49.040000,1.7.0,36.0,witwidget,,,,,,,https://pypi.org/project/witwidget,2020-06-28 14:22:37.000000,,1871.0,3838.0,,,,,,,,3.0,,,,wit-widget,https://www.npmjs.com/package/wit-widget,2020-11-03 16:28:21.255000,,1967.0,,,,,,,,,,,,\n631,PugSQL,mcfunley/pugsql,,db-clients,https://github.com/mcfunley/pugsql,https://github.com/mcfunley/pugsql,Apache-2.0,2019-05-19 16:55:38.000000,2020-12-15 20:56:53.000000,2020-09-13 06:06:13.000000,13.0,13.0,19.0,407,254.0,A HugSQL-inspired database library for Python.,10.0,18,True,2020-09-03 22:44:19.000000,0.2.2,23.0,pugsql,,,,,1.0,,https://pypi.org/project/pugsql,2020-09-13 05:35:42.000000,1.0,1811.0,1811.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n632,PyWaffle,gyli/PyWaffle,,data-viz,https://github.com/gyli/PyWaffle,https://github.com/gyli/PyWaffle,MIT,2017-11-14 20:03:47.000000,2020-07-26 23:22:17.000000,2020-07-26 23:22:13.000000,60.0,2.0,10.0,375,249.0,Make Waffle Charts in Python.,6.0,18,True,2020-07-26 19:16:45.000000,0.6.1,22.0,pywaffle,,,,,38.0,38.0,https://pypi.org/project/pywaffle,2020-07-26 19:16:45.000000,,901.0,901.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n633,apricot,jmschrei/apricot,,others,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12.000000,2020-09-30 20:53:48.000000,2020-09-30 20:53:44.000000,29.0,4.0,10.0,299,151.0,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,2.0,18,True,2020-09-28 07:19:15.000000,0.6.0,13.0,apricot-select,,,,,11.0,11.0,https://pypi.org/project/apricot-select,2020-09-28 07:19:15.000000,,596.0,596.0,,,,,,,,3.0,8.0,,,,,,,,,,,,,,,,,,,\n634,sk-dist,Ibotta/sk-dist,,distributed-ml,https://github.com/Ibotta/sk-dist,https://github.com/Ibotta/sk-dist,Apache-2.0,2019-08-14 21:07:17.000000,2021-01-07 17:01:27.000000,2021-01-07 17:01:23.000000,42.0,7.0,9.0,250,46.0,Distributed scikit-learn meta-estimators in PySpark.,6.0,18,True,2020-05-14 22:20:14.000000,0.1.9,12.0,sk-dist,,,,\"['sklearn', 'spark']\",8.0,6.0,https://pypi.org/project/sk-dist,2020-05-14 22:20:14.000000,2.0,3743.0,3743.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n635,Brainiak,brainiak/brainiak,,medical-data,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27.000000,2020-10-15 21:11:03.379549,2020-10-15 16:28:46.000000,105.0,63.0,117.0,229,388.0,Brain Imaging Analysis Kit.,32.0,18,True,2019-08-27 23:52:29.000000,0.9.1,15.0,brainiak,,brainiak/brainiak,,,12.0,11.0,https://pypi.org/project/brainiak,2020-10-15 20:45:08.000000,1.0,90.0,97.0,,,,https://hub.docker.com/r/brainiak/brainiak,2020-10-15 21:11:03.379549,1.0,452.0,3.0,,,,,,,,,,,,,,,,,,,,\n636,Funsor,pyro-ppl/funsor,,probabilistics,https://github.com/pyro-ppl/funsor,https://github.com/pyro-ppl/funsor,Apache-2.0,2019-01-30 23:13:39.000000,2021-01-08 02:32:20.000000,2021-01-08 02:32:18.000000,15.0,55.0,54.0,157,461.0,Functional tensors for probabilistic programming.,9.0,18,True,2020-10-15 15:54:49.000000,0.3.0,5.0,funsor,,,,['pytorch'],7.0,7.0,https://pypi.org/project/funsor,2020-10-15 15:54:49.000000,,171.0,171.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n637,DeepMind Lab,deepmind/lab,,reinforcement-learning,https://github.com/deepmind/lab,https://github.com/deepmind/lab,GPL-2.0,2016-11-30 13:41:26.000000,2020-12-07 11:25:29.000000,2020-12-07 11:05:16.000000,1286.0,37.0,151.0,6370,470.0,A customisable 3D platform for agent-based AI research.,7.0,17,False,2020-12-07 11:26:33.000000,release-2020-12-07,8.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n638,LIT,PAIR-code/lit,,interpretability,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000000,2021-01-07 19:35:34.000000,2020-11-17 00:43:10.000000,223.0,25.0,27.0,2312,,The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and..,10.0,17,True,2020-11-17 00:53:31.000000,0.2,4.0,lit-nlp,,,,,,,https://pypi.org/project/lit-nlp,2020-11-17 00:52:37.000000,,175.0,175.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n639,PaddleDetection,PaddlePaddle/PaddleDetection,,image,https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000000,2021-01-07 16:19:05.000000,2021-01-07 05:36:53.000000,596.0,275.0,821.0,2179,656.0,Object detection and instance segmentation toolkit based on PaddlePaddle.,43.0,17,True,2019-11-27 05:15:38.000000,0.1.0,1.0,,,,,['paddle'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n640,Mara Pipelines,mara/mara-pipelines,,data-pipelines,https://github.com/mara/mara-pipelines,https://github.com/mara/mara-pipelines,MIT,2018-03-31 20:37:22.000000,2020-12-31 02:02:28.000000,2020-07-31 19:24:31.000000,76.0,6.0,11.0,1601,127.0,\"A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow.\",15.0,17,True,2020-07-31 19:31:29.000000,3.1.1,7.0,mara-pipelines,,,,,7.0,7.0,https://pypi.org/project/mara-pipelines,2020-07-31 19:26:16.000000,,24.0,24.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n641,BlazingSQL,BlazingDB/blazingsql,,gpu-utilities,https://github.com/BlazingDB/blazingsql,https://github.com/BlazingDB/blazingsql,Apache-2.0,2018-09-24 18:25:45.000000,2021-01-08 01:49:25.000000,2021-01-08 01:49:24.000000,132.0,241.0,319.0,1377,,\"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.\",39.0,17,True,2020-12-14 17:43:48.000000,0.17.0,15.0,,blazingsql/blazingsql-protocol,,,,,,,,,,57.0,https://anaconda.org/blazingsql/blazingsql-protocol,2019-11-11 19:54:17.621000,913.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n642,Advisor,tobegit3hub/advisor,,hyperopt,https://github.com/tobegit3hub/advisor,https://github.com/tobegit3hub/advisor,Apache-2.0,2017-09-14 03:50:33.000000,2019-11-11 07:09:57.869705,2019-11-11 06:59:31.000000,240.0,19.0,13.0,1328,165.0,Open-source implementation of Google Vizier for hyper parameters tuning.,11.0,17,False,2018-10-18 02:54:09.000000,0.1.6,4.0,advisor,,tobegit3hub/advisor,,,,,https://pypi.org/project/advisor,2018-10-18 02:54:09.000000,,35.0,73.0,,,,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1535.0,3.0,,,,,,,,,,,,,,,,,,,,\n643,Antialiased CNNs,adobe/antialiased-cnns,,pytorch-utils,https://github.com/adobe/antialiased-cnns,https://github.com/adobe/antialiased-cnns,CC BY-NC-SA 4.0,2019-05-14 20:51:25.000000,2020-10-23 22:45:52.000000,2020-10-22 19:40:07.000000,169.0,9.0,28.0,1326,238.0,pip install antialiased-cnns to improve stability and accuracy.,6.0,17,False,2020-10-23 22:45:52.000000,0.3,6.0,antialiased-cnns,,,,['pytorch'],,,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49.000000,,303.0,303.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n644,River,online-ml/river,,others,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000000,2021-01-06 13:56:53.000000,2021-01-06 13:53:36.000000,155.0,41.0,239.0,1257,2943.0,Online machine learning in Python.,57.0,17,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n645,Backtesting.py,kernc/backtesting.py,,financial-data,https://github.com/kernc/backtesting.py,https://github.com/kernc/backtesting.py,AGPL-3.0,2019-01-02 03:11:32.000000,2020-12-24 19:57:36.000000,2020-12-24 19:57:35.000000,219.0,20.0,163.0,899,214.0,Backtest trading strategies in Python.,8.0,17,False,2017-07-22 02:00:06.000000,0.0.1,1.0,backtesting,,,,,,,https://pypi.org/project/backtesting,2017-07-22 02:00:06.000000,,3245.0,3245.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n646,advertorch,BorealisAI/advertorch,,adversarial,https://github.com/BorealisAI/advertorch,https://github.com/BorealisAI/advertorch,GPL-3.0,2018-11-29 22:17:33.000000,2020-09-25 15:01:47.000000,2020-06-15 01:16:18.000000,119.0,13.0,28.0,782,270.0,A Toolbox for Adversarial Robustness Research.,16.0,17,False,2020-06-15 01:20:07.000000,0.2.3,10.0,advertorch,,,,['pytorch'],32.0,29.0,https://pypi.org/project/advertorch,2020-06-15 01:20:07.000000,3.0,1037.0,1037.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n647,Hivemind,learning-at-home/hivemind,,distributed-ml,https://github.com/learning-at-home/hivemind,https://github.com/learning-at-home/hivemind,MIT,2020-02-27 13:50:19.000000,2021-01-07 11:48:36.000000,2020-12-29 18:38:42.000000,28.0,15.0,17.0,635,287.0,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,8.0,17,True,2020-08-28 05:52:35.000000,0.8.2,5.0,hivemind,,,,,2.0,1.0,https://pypi.org/project/hivemind,2020-08-28 16:00:22.000000,1.0,26.0,26.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n648,Saliency,PAIR-code/saliency,,tensorflow-utils,https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35.000000,2020-10-15 21:38:20.000000,2020-10-01 22:54:59.000000,132.0,11.0,10.0,614,64.0,\"TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques.\",12.0,17,True,2019-09-26 17:59:23.000000,0.0.5,5.0,saliency,,,,['tensorflow'],13.0,13.0,https://pypi.org/project/saliency,2019-09-26 17:59:23.000000,,164.0,164.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n649,ADTK,arundo/adtk,,time-series-data,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22.000000,2020-04-29 19:54:40.000000,2020-04-17 02:27:44.000000,71.0,20.0,30.0,581,78.0,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,11.0,17,True,2020-04-17 02:18:00.000000,0.6.2,13.0,adtk,,,,,,,https://pypi.org/project/adtk,2020-04-17 02:18:00.000000,,30236.0,30236.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n650,Dragonfly,dragonfly/dragonfly,,hyperopt,https://github.com/dragonfly/dragonfly,https://github.com/dragonfly/dragonfly,MIT,2018-04-20 22:19:50.000000,2020-07-26 17:44:31.000000,2020-07-03 18:01:17.000000,72.0,21.0,17.0,553,397.0,An open source python library for scalable Bayesian optimisation.,12.0,17,True,2020-07-03 18:05:12.000000,0.1.6,9.0,dragonfly-opt,,,,,2.0,,https://pypi.org/project/dragonfly-opt,2020-07-03 18:05:12.000000,2.0,3491.0,3491.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n651,SKLL,EducationalTestingService/skll,,ml-experiments,https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,BSD-1-Clause,2013-08-02 14:31:46.000000,2021-01-05 19:18:50.000000,2021-01-05 19:18:47.000000,62.0,41.0,327.0,517,,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,34.0,17,False,2020-03-13 17:22:26.000000,2.1,63.0,skll,,,,['sklearn'],45.0,28.0,https://pypi.org/project/skll,2020-03-13 16:23:35.000000,17.0,237.0,237.0,,,,,,,,3.0,10.0,,,,,,,,,,,,,,,,,,,\n652,Performer Pytorch,lucidrains/performer-pytorch,,pytorch-utils,https://github.com/lucidrains/performer-pytorch,https://github.com/lucidrains/performer-pytorch,MIT,2020-10-03 03:41:36.000000,2020-12-18 23:09:14.000000,2020-12-14 17:09:48.000000,59.0,16.0,30.0,440,,\"An implementation of Performer, a linear attention-based transformer, in Pytorch.\",4.0,17,True,2020-12-14 17:10:37.000000,0.14.9,60.0,performer-pytorch,,,,['pytorch'],7.0,7.0,https://pypi.org/project/performer-pytorch,2020-12-13 20:20:46.000000,,1469.0,1469.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n653,kglib,graknlabs/kglib,,graph,https://github.com/graknlabs/kglib,https://github.com/graknlabs/kglib,Apache-2.0,2018-09-16 16:46:48.000000,2020-11-10 15:19:42.000000,2020-11-10 15:19:41.000000,69.0,10.0,49.0,382,486.0,Grakn Knowledge Graph Library (ML R&D).,7.0,17,True,2020-08-19 15:32:49.000000,0.2.2,7.0,grakn-kglib,,,,,,,https://pypi.org/project/grakn-kglib,2020-08-19 15:39:10.000000,,69.0,77.0,,,,,,,,3.0,206.0,,,,,,,,,,,,,,,,,,,\n654,Sematch,gsi-upm/sematch,,graph,https://github.com/gsi-upm/sematch,https://github.com/gsi-upm/sematch,Apache-2.0,2012-11-30 11:11:53.000000,2020-11-05 21:20:52.000000,2019-03-27 03:17:24.000000,99.0,14.0,19.0,336,122.0,semantic similarity framework for knowledge graph.,5.0,17,False,2017-04-17 10:56:52.000000,1.0.4,5.0,sematch,,,,,29.0,26.0,https://pypi.org/project/sematch,2017-04-17 10:56:52.000000,3.0,47.0,47.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n655,Camphr,PKSHATechnology-Research/camphr,,nlp,https://github.com/PKSHATechnology-Research/camphr,https://github.com/PKSHATechnology-Research/camphr,Apache-2.0,2020-02-10 03:39:58.000000,2021-01-08 00:42:19.000000,2021-01-08 00:42:16.000000,15.0,13.0,14.0,320,1087.0,\"spaCy plugin for Transformers , Udify, ELmo, etc.\",7.0,17,True,2020-12-25 08:53:36.000000,0.7.2,37.0,camphr,,,,['spacy'],,,https://pypi.org/project/camphr,2020-12-25 08:53:36.000000,,381.0,381.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n656,tick,X-DataInitiative/tick,,time-series-data,https://github.com/X-DataInitiative/tick,https://github.com/X-DataInitiative/tick,BSD-3-Clause,2016-12-01 10:59:08.000000,2020-08-11 12:36:43.000000,2020-06-15 12:01:36.000000,74.0,55.0,159.0,320,413.0,\"Module for statistical learning, with a particular emphasis on time-dependent modelling.\",16.0,17,True,2019-09-11 11:25:15.000000,0.6,23.0,tick,,,,,29.0,28.0,https://pypi.org/project/tick,2020-05-24 22:01:17.000000,1.0,600.0,603.0,,,,,,,,3.0,155.0,,,,,,,,,,,,,,,,,,,\n657,Baal,ElementAI/baal,,probabilistics,https://github.com/ElementAI/baal,https://github.com/ElementAI/baal,Apache-2.0,2019-09-30 20:16:26.000000,2020-12-29 15:31:36.000000,2020-12-11 19:04:35.000000,24.0,12.0,22.0,306,92.0,Using approximate bayesian posteriors in deep nets for active learning.,8.0,17,True,2020-11-03 21:14:13.000000,1.2.1,7.0,baal,,,,,6.0,6.0,https://pypi.org/project/baal,2020-11-03 21:07:08.000000,,131.0,131.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n658,Sherpa,sherpa-ai/sherpa,,hyperopt,https://github.com/sherpa-ai/sherpa,https://github.com/sherpa-ai/sherpa,GPL-3.0,2018-05-16 21:41:54.000000,2020-10-18 07:57:50.000000,2020-10-18 07:57:48.000000,42.0,11.0,41.0,278,823.0,\"Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.\",43.0,17,False,2020-07-31 05:29:09.000000,1.0.7,8.0,parameter-sherpa,,,,,8.0,7.0,https://pypi.org/project/parameter-sherpa,2019-11-23 21:32:27.000000,1.0,423.0,423.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n659,DeepGraph,deepgraph/deepgraph,,graph,https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45.000000,2020-10-13 10:14:55.018000,2020-10-01 13:17:00.000000,33.0,8.0,4.0,226,160.0,Analyze Data with Pandas-based Networks. Documentation:.,2.0,17,True,2020-10-01 13:20:38.000000,0.2.3,13.0,deepgraph,conda-forge/deepgraph,,,['pandas'],1.0,1.0,https://pypi.org/project/deepgraph,2020-10-01 13:18:38.000000,,246.0,2089.0,https://anaconda.org/conda-forge/deepgraph,2020-10-13 10:14:55.018000,75579.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n660,ExplainX.ai,explainX/explainx,,interpretability,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15.000000,2021-01-07 22:35:16.000000,2021-01-07 22:35:16.000000,27.0,7.0,13.0,155,182.0,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,4.0,17,True,2020-10-23 17:30:47.000000,2.403,53.0,explainx,,,,,,,https://pypi.org/project/explainx,2020-12-07 22:26:30.000000,,528.0,528.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n661,BatchFlow,analysiscenter/batchflow,,data-pipelines,https://github.com/analysiscenter/batchflow,https://github.com/analysiscenter/batchflow,Apache-2.0,2017-03-13 14:22:53.000000,2020-12-31 11:47:44.000000,2020-12-08 08:39:00.000000,33.0,52.0,53.0,153,4298.0,BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and..,28.0,17,True,2019-08-23 12:21:50.000000,0.3.0,3.0,batchflow,,,,,,,https://pypi.org/project/batchflow,2019-08-23 12:21:50.000000,,18.0,18.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n662,Auto TS,AutoViML/Auto_TS,,time-series-data,https://github.com/AutoViML/Auto_TS,https://github.com/AutoViML/Auto_TS,Apache-2.0,2020-02-15 15:23:32.000000,2021-01-03 21:06:22.000000,2021-01-03 21:05:07.000000,29.0,5.0,21.0,141,210.0,\"Automatically build ARIMA, SARIMAX, VAR, FB Prophet and ML Models on Time Series data sets with a Single Line of Code.\",5.0,17,False,2021-01-03 21:06:22.000000,0.0.29,8.0,auto-ts,,,,,,,https://pypi.org/project/auto-ts,2021-01-03 21:06:22.000000,,370.0,370.0,,,,,,,,3.0,,True,,,,,,,,,,,,,,,,,,\n663,ipyexperiments,stas00/ipyexperiments,,gpu-utilities,https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40.000000,2020-11-17 04:11:19.000000,2020-11-17 04:11:16.000000,9.0,,4.0,123,177.0,jupyter/ipython experiment containers for GPU and general RAM re-use.,3.0,17,False,2020-11-16 07:08:34.000000,0.1.22,21.0,ipyexperiments,,,,['jupyter'],4.0,2.0,https://pypi.org/project/ipyexperiments,2020-11-17 04:10:43.000000,2.0,159.0,159.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n664,nvidia-ml-py3,nicolargo/nvidia-ml-py3,,gpu-utilities,https://github.com/nicolargo/nvidia-ml-py3,https://github.com/nicolargo/nvidia-ml-py3,BSD-3-Clause,2017-06-03 07:47:03.000000,2019-03-06 20:41:10.000000,2019-03-06 20:41:09.000000,13.0,2.0,,59,5.0,Python 3 Bindings for the NVIDIA Management Library.,2.0,17,False,,,1.0,nvidia-ml-py3,,,,,2439.0,2427.0,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46.000000,12.0,274055.0,274055.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n665,ReAgent,facebookresearch/ReAgent,,reinforcement-learning,https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000000,2021-01-07 22:17:01.000000,2021-01-07 22:16:16.000000,372.0,20.0,74.0,2736,1054.0,\"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).\",85.0,16,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n666,automl-gs,minimaxir/automl-gs,,hyperopt,https://github.com/minimaxir/automl-gs,https://github.com/minimaxir/automl-gs,MIT,2019-01-13 18:57:44.000000,2019-10-22 11:20:40.000000,2019-04-05 06:48:14.000000,157.0,26.0,6.0,1709,102.0,\"Provide an input CSV and a target field to predict, generate a model + code to run it.\",7.0,16,False,2019-04-05 06:51:04.000000,0.2.1,2.0,automl_gs,,,,,,,https://pypi.org/project/automl_gs,2019-04-05 06:47:54.000000,,29.0,29.0,,,,,,,,3.0,20.0,,,,,,,,,,,,,,,,,,,\n667,Xcessiv,reiinakano/xcessiv,,hyperopt,https://github.com/reiinakano/xcessiv,https://github.com/reiinakano/xcessiv,Apache-2.0,2017-03-07 18:18:25.000000,2018-06-06 22:23:37.000000,2017-08-21 00:51:15.000000,104.0,21.0,13.0,1258,316.0,\"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.\",6.0,16,False,2017-08-21 00:53:25.000000,0.5.1,34.0,xcessiv,,,,,2.0,1.0,https://pypi.org/project/xcessiv,2017-08-21 00:49:41.000000,1.0,72.0,72.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n668,Lambda Networks,lucidrains/lambda-networks,,pytorch-utils,https://github.com/lucidrains/lambda-networks,https://github.com/lucidrains/lambda-networks,MIT,2020-10-08 19:01:15.000000,2020-11-18 19:54:34.000000,2020-11-18 19:54:30.000000,127.0,8.0,15.0,1242,,\"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.\",3.0,16,True,2020-11-18 08:18:54.000000,0.4.0,11.0,lambda-networks,,,,['pytorch'],,,https://pypi.org/project/lambda-networks,2020-10-20 21:49:22.000000,,977.0,977.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n669,Botflow,kkyon/botflow,,data-pipelines,https://github.com/kkyon/botflow,https://github.com/kkyon/botflow,BSD-3-Clause,2018-08-20 03:13:31.000000,2020-12-31 09:03:22.000000,2019-05-23 14:40:50.000000,98.0,2.0,2.0,1151,192.0,\"Python Fast Dataflow programming framework for Data pipeline work( Web Crawler,Machine Learning,Quantitative..\",11.0,16,False,,,5.0,botflow,,,,,1.0,1.0,https://pypi.org/project/botflow,2018-09-14 14:38:32.000000,,25.0,25.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n670,AdvBox,advboxes/AdvBox,,adversarial,https://github.com/advboxes/AdvBox,https://github.com/advboxes/AdvBox,Apache-2.0,2018-08-08 08:55:41.000000,2020-11-13 17:59:22.000000,2020-08-26 22:59:41.000000,217.0,6.0,26.0,1020,374.0,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,19.0,16,True,2018-12-05 02:48:50.000000,0.4.1,2.0,advbox,,,,,,,https://pypi.org/project/advbox,2018-12-05 02:48:50.000000,,14.0,14.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n671,sklearn-porter,nok/sklearn-porter,,model-serialisation,https://github.com/nok/sklearn-porter,https://github.com/nok/sklearn-porter,MIT,2016-06-22 22:21:34.000000,2020-10-19 07:28:00.000000,2019-12-18 13:31:50.000000,122.0,39.0,29.0,944,699.0,\"Transpile trained scikit-learn estimators to C, Java, JavaScript and others.\",11.0,16,False,2019-12-18 13:39:19.000000,0.7.4,20.0,sklearn-porter,,,,['sklearn'],1.0,,https://pypi.org/project/sklearn-porter,2019-12-18 13:39:19.000000,1.0,439.0,439.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n672,CrypTen,facebookresearch/CrypTen,,privacy-ml,https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000000,2021-01-07 17:43:06.000000,2020-12-23 00:12:14.000000,87.0,15.0,31.0,686,227.0,A framework for Privacy Preserving Machine Learning.,23.0,16,True,2020-04-21 13:59:37.000000,0.1,1.0,crypten,,,,['pytorch'],5.0,5.0,https://pypi.org/project/crypten,2020-02-05 18:53:03.000000,,101.0,101.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n673,lazydata,rstojnic/lazydata,,db-clients,https://github.com/rstojnic/lazydata,https://github.com/rstojnic/lazydata,Apache-2.0,2018-08-21 12:44:27.000000,2019-02-13 18:15:09.000000,2018-10-12 11:40:26.000000,24.0,7.0,6.0,624,216.0,Lazydata: Scalable data dependencies for Python projects.,6.0,16,False,2018-09-18 21:24:41.000000,1.0.19,19.0,lazydata,,,,,8.0,8.0,https://pypi.org/project/lazydata,2018-09-18 21:25:30.000000,,33.0,33.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n674,cuGraph,rapidsai/cugraph,,gpu-utilities,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000000,2021-01-07 16:41:44.000000,2021-01-06 15:52:25.000000,130.0,92.0,447.0,612,,cuGraph - RAPIDS Graph Analytics Library.,53.0,16,True,2020-12-10 21:54:44.000000,0.17.0,4.0,cugraph,,,,,,,https://pypi.org/project/cugraph,2019-04-04 15:31:02.000000,,32.0,32.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n675,SpeedTorch,Santosh-Gupta/SpeedTorch,,gpu-utilities,https://github.com/Santosh-Gupta/SpeedTorch,https://github.com/Santosh-Gupta/SpeedTorch,MIT,2019-09-07 18:57:52.000000,2020-02-21 23:13:29.000000,2020-02-21 23:13:28.000000,36.0,3.0,2.0,592,170.0,Library for faster pinned CPU - GPU transfer in Pytorch.,3.0,16,True,2020-01-06 05:27:17.000000,0.1.6,14.0,SpeedTorch,,,,['pytorch'],5.0,3.0,https://pypi.org/project/SpeedTorch,2020-01-06 05:27:17.000000,2.0,86.0,86.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n676,ThunderGBM,Xtra-Computing/thundergbm,,ml-frameworks,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08.000000,2021-01-05 04:22:17.000000,2021-01-05 04:22:15.000000,71.0,20.0,26.0,575,606.0,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,10.0,16,True,2020-05-01 23:16:25.000000,0.3.16,24.0,thundergbm,,,,,,,https://pypi.org/project/thundergbm,2020-05-01 23:16:25.000000,,129.0,129.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n677,XAI,EthicalML/xai,,interpretability,https://github.com/EthicalML/xai,https://github.com/EthicalML/xai,MIT,2019-01-11 20:00:09.000000,2019-10-05 10:34:58.000000,2019-10-05 10:34:50.000000,81.0,4.0,2.0,552,83.0,XAI - An eXplainability toolbox for machine learning.,2.0,16,False,2019-01-13 21:24:01.000000,0.0.4,4.0,xai,,,,,15.0,9.0,https://pypi.org/project/xai,2019-01-13 21:24:01.000000,6.0,439.0,439.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n678,AlphaPy,ScottfreeLLC/AlphaPy,,hyperopt,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32.000000,2020-09-06 12:58:26.000000,2020-09-06 12:58:25.000000,111.0,10.0,29.0,537,407.0,\"Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost.\",3.0,16,True,2020-08-29 18:48:20.000000,2.5.0,24.0,alphapy,,,,,2.0,2.0,https://pypi.org/project/alphapy,2020-08-25 23:33:42.000000,,76.0,76.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n679,RLax,deepmind/rlax,,reinforcement-learning,https://github.com/deepmind/rlax,https://github.com/deepmind/rlax,Apache-2.0,2020-02-18 07:14:59.000000,2020-12-04 16:29:56.000000,2020-12-04 16:29:20.000000,38.0,3.0,3.0,536,100.0,A library of reinforcement learning building blocks in JAX.,10.0,16,True,2020-02-19 23:01:30.000000,0.1.0,3.0,rlax,,,,['jax'],9.0,9.0,https://pypi.org/project/rlax,2020-02-19 23:01:30.000000,,123.0,123.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n680,FlashTorch,MisaOgura/flashtorch,,interpretability,https://github.com/MisaOgura/flashtorch,https://github.com/MisaOgura/flashtorch,MIT,2019-03-22 13:00:57.000000,2020-12-14 23:09:26.000000,2020-05-29 14:37:29.000000,66.0,6.0,21.0,523,126.0,Visualization toolkit for neural networks in PyTorch! Demo --.,2.0,16,True,2020-05-29 14:39:38.000000,0.1.3,12.0,flashtorch,,,,['pytorch'],6.0,6.0,https://pypi.org/project/flashtorch,2020-05-29 14:38:32.000000,,193.0,193.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n681,Auto Tune Models,HDI-Project/ATM,,hyperopt,https://github.com/HDI-Project/ATM,https://github.com/HDI-Project/ATM,MIT,2016-10-14 18:03:00.000000,2020-02-21 17:44:07.000000,2020-02-21 17:40:58.000000,122.0,17.0,71.0,501,775.0,\"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).\",16.0,16,True,2019-07-30 09:28:26.000000,0.2.2,13.0,atm,,,,,6.0,6.0,https://pypi.org/project/atm,2019-06-24 13:31:28.000000,,61.0,61.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n682,Tensor Sensor,parrt/tensor-sensor,,pytorch-utils,https://github.com/parrt/tensor-sensor,https://github.com/parrt/tensor-sensor,MIT,2020-08-28 22:54:04.000000,2021-01-07 00:40:37.000000,2021-01-07 00:40:31.000000,23.0,4.0,12.0,473,155.0,The goal of this library is to generate more helpful exception messages for numpy/pytorch matrix algebra expressions.,2.0,16,True,2020-12-03 20:46:15.000000,0.1.1,33.0,tensor-sensor,,,,['pytorch'],1.0,1.0,https://pypi.org/project/tensor-sensor,2020-12-03 20:40:56.000000,,270.0,270.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n683,DiCE,interpretml/DiCE,,interpretability,https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000000,2020-12-15 13:12:57.000000,2020-12-15 13:12:50.000000,62.0,12.0,18.0,421,288.0,Generate Diverse Counterfactual Explanations for any machine learning model.,8.0,16,True,2020-09-22 06:31:10.000000,0.4,2.0,dice-ml,,,,\"['tensorflow', 'pytorch']\",,,https://pypi.org/project/dice-ml,2020-09-22 06:57:33.000000,,124.0,124.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n684,TF Compression,tensorflow/compression,,tensorflow-utils,https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19.000000,2021-01-07 00:18:26.000000,2021-01-07 00:15:17.000000,147.0,1.0,54.0,408,138.0,Data compression in TensorFlow.,9.0,16,True,2021-01-06 01:50:06.000000,2.0b2,8.0,tensorflow-compression,,,,['tensorflow'],1.0,,https://pypi.org/project/tensorflow-compression,2021-01-06 01:36:13.000000,1.0,406.0,406.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n685,lightly,lightly-ai/lightly,,image,https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000000,2020-12-30 12:47:41.000000,2020-12-30 12:47:40.000000,19.0,16.0,18.0,386,251.0,A python library for self-supervised learning.,4.0,16,True,2020-12-17 17:29:23.000000,1.0.7,10.0,lightly,,,,['pytorch'],,,https://pypi.org/project/lightly,2020-12-17 17:31:29.000000,,260.0,260.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n686,OpenRec,ylongqi/openrec,,recommender-systems,https://github.com/ylongqi/openrec,https://github.com/ylongqi/openrec,Apache-2.0,2017-11-29 16:04:40.000000,2020-11-13 17:47:17.000000,2020-02-19 07:57:17.000000,79.0,4.0,12.0,349,213.0,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms.,10.0,16,True,2018-11-13 17:55:55.000000,0.2.5,11.0,openrec,,,,,2.0,1.0,https://pypi.org/project/openrec,2019-09-11 20:21:21.000000,1.0,50.0,50.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n687,pdvega,altair-viz/pdvega,,data-viz,https://github.com/altair-viz/pdvega,https://github.com/altair-viz/pdvega,MIT,2018-01-11 21:30:27.000000,2019-03-29 16:09:14.000000,2019-03-29 16:09:13.000000,28.0,16.0,10.0,339,177.0,Interactive plotting for Pandas using Vega-Lite.,9.0,16,False,,,1.0,pdvega,,,,,48.0,46.0,https://pypi.org/project/pdvega,2018-02-01 04:56:43.000000,2.0,92.0,92.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n688,datmo,datmo/datmo,,ml-experiments,https://github.com/datmo/datmo,https://github.com/datmo/datmo,MIT,2017-11-03 05:46:43.000000,2019-11-29 00:48:45.000000,2019-11-29 00:48:44.000000,28.0,42.0,149.0,331,1051.0,Open source production model management tool for data scientists.,6.0,16,False,2018-12-07 06:01:12.000000,0.0.40,41.0,datmo,,,,,5.0,5.0,https://pypi.org/project/datmo,2018-12-07 06:16:42.000000,,73.0,73.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n689,Pywick,achaiah/pywick,,pytorch-utils,https://github.com/achaiah/pywick,https://github.com/achaiah/pywick,MIT,2019-03-25 15:42:47.000000,2020-11-17 16:44:11.000000,2020-09-24 19:20:06.000000,35.0,2.0,9.0,309,109.0,High-level batteries-included neural network training library for Pytorch.,4.0,16,True,2020-01-20 22:14:21.000000,0.5.6,6.0,pywick,,,,['pytorch'],2.0,2.0,https://pypi.org/project/pywick,2020-01-20 22:14:21.000000,,245.0,245.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n690,Case Recommender,caserec/CaseRecommender,,recommender-systems,https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39.000000,2020-05-26 22:44:05.000000,2020-05-26 22:44:05.000000,66.0,6.0,16.0,306,201.0,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems.,10.0,16,True,2019-08-20 13:38:02.000000,1.1.0,40.0,caserecommender,,,,['sklearn'],5.0,5.0,https://pypi.org/project/caserecommender,2019-08-20 13:42:28.000000,,94.0,94.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n691,VizSeq,facebookresearch/vizseq,,nlp,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38.000000,2020-12-13 18:55:58.000000,2020-12-13 18:55:54.000000,39.0,7.0,8.0,298,43.0,\"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).\",3.0,16,True,2020-08-07 01:13:52.000000,0.1.15,16.0,vizseq,,,,,1.0,1.0,https://pypi.org/project/vizseq,2020-08-07 01:13:52.000000,,80.0,80.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n692,Orbit,uber/orbit,,probabilistics,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000000,2021-01-07 23:47:06.000000,2021-01-07 23:40:36.000000,12.0,22.0,140.0,298,573.0,Bayesian forecasting with object-oriented design and probabilistic models under the hood.,6.0,16,True,2020-11-15 23:46:41.000000,1.0.9,9.0,orbit-ml,,,,,2.0,2.0,https://pypi.org/project/orbit-ml,2020-11-15 23:46:41.000000,,129.0,129.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n693,LOFO,aerdem4/lofo-importance,,interpretability,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46.000000,2020-07-02 11:49:54.000000,2020-07-02 11:49:52.000000,40.0,1.0,10.0,290,24.0,Leave One Feature Out Importance.,3.0,16,True,2020-07-02 11:44:57.000000,0.2.6,9.0,lofo-importance,,,,,3.0,3.0,https://pypi.org/project/lofo-importance,2020-07-02 11:44:57.000000,,211.0,211.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n694,Muda,bmcfee/muda,,audio,https://github.com/bmcfee/muda,https://github.com/bmcfee/muda,ISC,2014-11-07 21:21:22.000000,2020-09-01 19:21:10.000000,2020-07-20 20:00:17.000000,30.0,5.0,44.0,172,291.0,A library for augmenting annotated audio data.,6.0,16,True,2019-11-15 15:46:21.000000,0.4.1,11.0,muda,,,,,8.0,7.0,https://pypi.org/project/muda,2019-11-15 15:46:21.000000,1.0,92.0,92.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n695,elegy,poets-ai/elegy,,ml-frameworks,https://github.com/poets-ai/elegy,https://github.com/poets-ai/elegy,Apache-2.0,2020-06-30 14:00:37.000000,2020-12-27 09:21:41.000000,2020-12-25 14:22:01.000000,10.0,15.0,34.0,145,252.0,Elegy is a Neural Networks framework based on Jax and inspired by Keras.,11.0,16,False,2020-12-17 15:44:27.000000,0.3.0,15.0,elegy,,,,\"['tensorflow', 'jax']\",,,https://pypi.org/project/elegy,2020-12-17 15:41:58.000000,,278.0,278.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n696,Larq Compute Engine,larq/compute-engine,,model-serialisation,https://github.com/larq/compute-engine,https://github.com/larq/compute-engine,Apache-2.0,2019-08-29 15:02:43.000000,2021-01-04 18:16:09.000000,2021-01-04 18:16:07.000000,19.0,21.0,87.0,122,440.0,Highly optimized inference engine for Binarized Neural Networks.,14.0,16,False,2020-09-21 13:31:57.000000,0.4.3,11.0,larq-compute-engine,,,,,1.0,1.0,https://pypi.org/project/larq-compute-engine,2020-09-21 17:41:53.000000,,345.0,356.0,,,,,,,,3.0,124.0,,,,,,,,,,,,,,,,,,,\n697,dabl,amueller/dabl,,others,https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49.000000,2020-12-30 01:54:24.000000,2020-07-08 16:14:41.000000,7.0,1.0,,62,252.0,Data Analysis Baseline Library.,18.0,16,False,2020-02-04 18:25:16.000000,0.1.9,10.0,dabl,,,,['sklearn'],,,https://pypi.org/project/dabl,2020-09-25 18:14:54.000000,,1679.0,1679.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n698,tinygrad,geohot/tinygrad,,pytorch-utils,https://github.com/geohot/tinygrad,https://github.com/geohot/tinygrad,MIT,2020-10-18 16:23:12.000000,2021-01-05 15:56:22.000000,2021-01-05 15:56:17.000000,431.0,11.0,61.0,3914,509.0,You like pytorch? You like micrograd? You love tinygrad!.,42.0,15,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n699,MedicalTorch,perone/medicaltorch,,medical-data,https://github.com/perone/medicaltorch,https://github.com/perone/medicaltorch,Apache-2.0,2018-02-27 02:50:07.000000,2020-09-30 13:21:57.000000,2019-08-15 10:03:51.000000,106.0,14.0,9.0,702,55.0,A medical imaging framework for Pytorch.,7.0,15,False,2018-11-24 00:33:11.000000,0.2,2.0,medicaltorch,,,,['pytorch'],9.0,9.0,https://pypi.org/project/medicaltorch,2018-11-24 00:29:36.000000,,199.0,199.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n700,Translate,pytorch/translate,,nlp,https://github.com/pytorch/translate,https://github.com/pytorch/translate,BSD-3-Clause,2018-04-24 16:44:04.000000,2020-12-29 05:05:10.000000,2020-12-29 05:05:03.000000,158.0,66.0,27.0,674,803.0,Translate - a PyTorch Language Library.,84.0,15,True,,,1.0,pytorch-translate,,,,['pytorch'],,,https://pypi.org/project/pytorch-translate,2018-05-01 19:59:40.000000,,7.0,7.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n701,HyperparameterHunter,HunterMcGushion/hyperparameter_hunter,,hyperopt,https://github.com/HunterMcGushion/hyperparameter_hunter,https://github.com/HunterMcGushion/hyperparameter_hunter,MIT,2018-06-01 23:17:00.000000,2020-10-21 17:39:45.000000,2020-10-21 17:39:43.000000,78.0,36.0,84.0,632,1095.0,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries.,3.0,15,True,2019-08-06 09:09:45.000000,3.0.0,16.0,hyperparameter-hunter,,,,,1.0,,https://pypi.org/project/hyperparameter-hunter,2019-08-06 06:01:58.000000,1.0,69.0,77.0,,,,,,,,3.0,235.0,,,,,,,,,,,,,,,,,,,\n702,torchsde,google-research/torchsde,,pytorch-utils,https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11.000000,2021-01-05 18:30:53.000000,2021-01-05 12:06:21.000000,53.0,5.0,26.0,632,140.0,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,4.0,15,True,2021-01-05 18:31:38.000000,0.2.4,4.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n703,PandaPy,firmai/pandapy,,data-containers,https://github.com/firmai/pandapy,https://github.com/firmai/pandapy,MIT,2020-01-15 18:21:23.000000,2020-11-12 16:18:45.000000,2020-11-12 16:18:44.000000,44.0,2.0,1.0,464,83.0,PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai).,3.0,15,True,2020-11-12 16:12:54.000000,zen,22.0,pandapy,,,,['pandas'],1.0,1.0,https://pypi.org/project/pandapy,2020-01-25 23:10:32.000000,,91.0,91.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n704,cuSignal,rapidsai/cusignal,,gpu-utilities,https://github.com/rapidsai/cusignal,https://github.com/rapidsai/cusignal,Apache-2.0,2019-08-22 14:27:27.000000,2021-01-06 17:31:41.000000,2021-01-05 19:22:25.000000,56.0,17.0,80.0,431,,GPU accelerated signal processing.,28.0,15,True,2020-12-10 21:29:50.000000,0.17.0,3.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n705,Headliner,as-ideas/headliner,,nlp,https://github.com/as-ideas/headliner,https://github.com/as-ideas/headliner,MIT,2019-09-30 11:33:28.000000,2020-02-14 09:07:46.000000,2020-02-14 09:03:27.000000,37.0,1.0,13.0,219,276.0,Easy training and deployment of seq2seq models.,2.0,15,True,2020-01-24 09:06:29.000000,1.0.2,30.0,headliner,,,,,4.0,3.0,https://pypi.org/project/headliner,2020-01-24 09:06:29.000000,1.0,145.0,145.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n706,Parfit,jmcarpenter2/parfit,,hyperopt,https://github.com/jmcarpenter2/parfit,https://github.com/jmcarpenter2/parfit,MIT,2017-11-22 20:17:51.000000,2020-04-04 19:26:44.000000,2020-04-04 19:26:37.000000,25.0,5.0,5.0,198,127.0,\"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..\",2.0,15,True,,,23.0,parfit,,,,['sklearn'],7.0,7.0,https://pypi.org/project/parfit,2018-10-11 22:03:16.000000,,4461.0,4461.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n707,NeuralQA,victordibia/neuralqa,,nlp,https://github.com/victordibia/neuralqa,https://github.com/victordibia/neuralqa,MIT,2020-05-19 03:55:56.000000,2020-12-16 17:42:12.000000,2020-12-16 17:41:37.000000,23.0,18.0,8.0,180,312.0,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,3.0,15,True,,,26.0,neuralqa,,,,,1.0,1.0,https://pypi.org/project/neuralqa,2020-07-29 16:39:37.000000,,73.0,73.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n708,steppy,minerva-ml/steppy,,ml-experiments,https://github.com/minerva-ml/steppy,https://github.com/minerva-ml/steppy,MIT,2018-01-15 09:40:49.000000,2018-11-23 09:49:59.000000,2018-11-23 09:47:34.000000,31.0,16.0,50.0,125,69.0,\"Lightweight, Python library for fast and reproducible experimentation.\",5.0,15,False,2018-11-23 09:49:59.000000,0.1.16,16.0,steppy,,,,,41.0,36.0,https://pypi.org/project/steppy,2018-11-23 09:49:59.000000,5.0,49.0,49.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n709,DE⫶TR,facebookresearch/detr,,image,https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52.000000,2020-12-04 20:03:39.000000,2020-11-15 16:03:45.000000,825.0,59.0,196.0,5815,41.0,End-to-End Object Detection with Transformers.,19.0,14,True,2020-06-29 16:41:01.000000,0.2,1.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n710,PySlowFast,facebookresearch/SlowFast,,image,https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26.000000,2021-01-07 19:07:34.000000,2021-01-07 19:07:27.000000,615.0,153.0,183.0,3236,97.0,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,19.0,14,True,,,,,,,,['pytorch'],2.0,2.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n711,OpenNRE,thunlp/OpenNRE,,nlp,https://github.com/thunlp/OpenNRE,https://github.com/thunlp/OpenNRE,MIT,2017-02-26 07:37:12.000000,2020-12-29 06:01:15.000000,2020-11-24 06:37:04.000000,830.0,14.0,284.0,2926,135.0,An Open-Source Package for Neural Relation Extraction (NRE).,9.0,14,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n712,Euler,alibaba/euler,,graph,https://github.com/alibaba/euler,https://github.com/alibaba/euler,Apache-2.0,2019-01-10 06:32:32.000000,2020-07-29 05:53:02.000000,2020-07-29 05:53:01.000000,501.0,200.0,97.0,2465,8.0,A distributed graph deep learning framework.,5.0,14,True,2020-07-07 02:24:18.000000,2.0.0,2.0,euler-gl,,,,['tensorflow'],,,https://pypi.org/project/euler-gl,2019-04-10 01:53:45.000000,,9.0,9.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n713,ENAS,carpedm20/ENAS-pytorch,,hyperopt,https://github.com/carpedm20/ENAS-pytorch,https://github.com/carpedm20/ENAS-pytorch,Apache-2.0,2018-02-15 04:54:37.000000,2020-12-09 18:13:03.000000,2020-06-16 07:23:32.000000,438.0,37.0,7.0,2362,53.0,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,6.0,14,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n714,GraphSAGE,williamleif/GraphSAGE,,graph,https://github.com/williamleif/GraphSAGE,https://github.com/williamleif/GraphSAGE,MIT,2017-05-29 15:36:22.000000,2020-11-13 17:49:54.000000,2018-09-19 19:27:00.000000,599.0,77.0,58.0,2078,59.0,Representation learning on large graphs using stochastic graph convolutions.,9.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n715,ZhuSuan,thu-ml/zhusuan,,probabilistics,https://github.com/thu-ml/zhusuan,https://github.com/thu-ml/zhusuan,MIT,2016-07-18 13:31:38.000000,2020-01-09 14:51:27.000000,2019-08-05 10:00:04.000000,375.0,8.0,53.0,2000,439.0,\"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.\",20.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n716,GraphEmbedding,shenweichen/GraphEmbedding,,graph,https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20.000000,2020-10-18 09:32:47.000000,2020-10-18 09:32:47.000000,538.0,26.0,13.0,1710,28.0,Implementation and experiments of graph embedding algorithms.,6.0,14,True,,,,,,,,['sklearn'],7.0,7.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n717,micrograd,karpathy/micrograd,,pytorch-utils,https://github.com/karpathy/micrograd,https://github.com/karpathy/micrograd,MIT,2020-04-13 04:31:18.000000,2020-12-18 12:55:50.000000,2020-04-18 19:15:25.000000,108.0,2.0,3.0,1528,24.0,A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.,2.0,14,True,2020-04-18 19:06:59.000000,0.1.0,1.0,micrograd,,,,['pytorch'],,,https://pypi.org/project/micrograd,2020-04-18 19:06:59.000000,,32.0,32.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n718,OpenNE,thunlp/OpenNE,,graph,https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20.000000,2020-11-30 14:02:23.000000,2019-08-12 10:56:27.000000,440.0,50.0,81.0,1388,98.0,An Open-Source Package for Network Embedding (NE).,10.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n719,SuperSQLite,plasticityai/supersqlite,,db-clients,https://github.com/plasticityai/supersqlite,https://github.com/plasticityai/supersqlite,MIT,2018-11-09 08:20:26.000000,2020-05-09 09:06:06.000000,2019-08-27 13:16:09.000000,18.0,3.0,1.0,654,221.0,A supercharged SQLite library for Python.,2.0,14,False,2018-11-22 02:36:13.000000,0.0.78,56.0,supersqlite,,,,,3.0,3.0,https://pypi.org/project/supersqlite,2018-11-19 04:01:04.000000,,133.0,133.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n720,Anchor,marcotcr/anchor,,interpretability,https://github.com/marcotcr/anchor,https://github.com/marcotcr/anchor,BSD-2-Clause,2018-02-02 23:38:50.000000,2020-09-10 17:49:26.000000,2020-09-10 17:48:28.000000,87.0,8.0,44.0,610,39.0,Code for High-Precision Model-Agnostic Explanations paper.,8.0,14,True,,,8.0,anchor_exp,,,,,,,https://pypi.org/project/anchor_exp,2020-06-26 20:56:50.000000,,479.0,479.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n721,Tez,abhishekkrthakur/tez,,pytorch-utils,https://github.com/abhishekkrthakur/tez,https://github.com/abhishekkrthakur/tez,Apache-2.0,2020-11-13 10:19:22.000000,2021-01-02 12:40:13.000000,2021-01-02 12:40:12.000000,43.0,5.0,6.0,382,,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,1.0,14,True,2020-12-26 12:37:23.000000,0.0.8,7.0,tez,,,,['pytorch'],,,https://pypi.org/project/tez,2020-12-26 12:37:23.000000,,974.0,974.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n722,TransferNLP,feedly/transfer-nlp,,nlp,https://github.com/feedly/transfer-nlp,https://github.com/feedly/transfer-nlp,MIT,2019-03-12 20:00:31.000000,2020-05-28 19:00:02.000000,2020-05-28 17:31:53.000000,18.0,4.0,19.0,285,465.0,NLP library designed for reproducible experimentation management.,7.0,14,True,2020-05-28 19:00:02.000000,0.1.6,8.0,transfer-nlp,,,,['pytorch'],,,https://pypi.org/project/transfer-nlp,2020-05-28 19:00:02.000000,,81.0,81.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n723,DeepNeuro,QTIM-Lab/DeepNeuro,,medical-data,https://github.com/QTIM-Lab/DeepNeuro,https://github.com/QTIM-Lab/DeepNeuro,MIT,2017-06-01 19:36:34.000000,2020-06-24 13:00:15.000000,2020-06-24 13:00:14.000000,29.0,25.0,16.0,98,285.0,A deep learning python package for neuroimaging data. Made by:.,6.0,14,False,2019-04-11 16:57:02.000000,0.2.2,5.0,deepneuro,,,,,1.0,1.0,https://pypi.org/project/deepneuro,2019-04-11 16:57:02.000000,,51.0,51.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n724,Hypermax,electricbrainio/hypermax,,hyperopt,https://github.com/electricbrainio/hypermax,https://github.com/electricbrainio/hypermax,BSD-3-Clause,2018-07-27 18:43:01.000000,2020-08-02 18:08:50.000000,2020-08-02 18:08:46.000000,14.0,3.0,1.0,95,207.0,\"Better, faster hyper-parameter optimization.\",9.0,14,False,2019-10-23 15:40:12.000000,0.5.1,11.0,hypermax,,,,,4.0,4.0,https://pypi.org/project/hypermax,2019-10-23 15:40:12.000000,,30.0,30.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n725,nptsne,biovault/nptsne,,data-viz,https://github.com/biovault/nptsne,https://github.com/biovault/nptsne,Apache-2.0,2019-06-28 08:40:25.000000,2020-11-16 13:56:05.000000,2020-11-13 16:38:47.000000,2.0,7.0,2.0,24,834.0,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,3.0,14,False,2020-09-10 23:54:14.000000,1.1.0,2.0,nptsne,,,,,2.0,2.0,https://pypi.org/project/nptsne,2020-09-10 23:54:14.000000,,115.0,115.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n726,StarSpace,facebookresearch/StarSpace,,ml-frameworks,https://github.com/facebookresearch/StarSpace,https://github.com/facebookresearch/StarSpace,MIT,2017-06-28 17:50:18.000000,2020-05-18 03:40:57.000000,2019-12-13 19:03:25.000000,475.0,46.0,146.0,3520,138.0,\"Learning embeddings for classification, retrieval and ranking.\",17.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n727,OpenKE,thunlp/OpenKE,,graph,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,MIT,2017-10-08 11:20:23.000000,2020-04-08 11:00:38.000000,2020-04-08 11:00:32.000000,719.0,46.0,222.0,2310,97.0,An Open-Source Package for Knowledge Embedding (KE).,10.0,13,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n728,pycls,facebookresearch/pycls,,image,https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17.000000,2020-11-29 17:48:12.000000,2020-11-20 22:19:36.000000,147.0,10.0,44.0,1403,66.0,\"Codebase for Image Classification Research, written in PyTorch.\",7.0,13,True,2020-04-15 19:33:22.000000,0.1,1.0,,,,,['pytorch'],1.0,1.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n729,Torch-Struct,harvardnlp/pytorch-struct,,pytorch-utils,https://github.com/harvardnlp/pytorch-struct,https://github.com/harvardnlp/pytorch-struct,MIT,2019-08-26 19:34:30.000000,2021-01-06 03:07:24.000000,2020-07-30 15:58:25.000000,68.0,14.0,21.0,870,244.0,\"Fast, general, and tested differentiable structured prediction in PyTorch.\",10.0,13,True,2019-11-25 04:08:05.000000,0.4,1.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n730,NeoML,neoml-lib/neoml,,ml-frameworks,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000000,2020-12-31 12:35:58.000000,2020-12-31 12:35:44.000000,78.0,16.0,13.0,553,165.0,Machine learning framework for both deep learning and traditional algorithms.,16.0,13,True,2020-06-14 17:44:03.000000,NeoML-master_1.0.1.0,1.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n731,Adversary,airbnb/artificial-adversary,,adversarial,https://github.com/airbnb/artificial-adversary,https://github.com/airbnb/artificial-adversary,MIT,2018-08-08 04:42:11.000000,2018-10-14 05:34:44.000000,2018-08-29 15:31:30.000000,47.0,7.0,,339,15.0,Tool to generate adversarial text examples and test machine learning models against them.,5.0,13,False,2018-08-29 15:14:41.000000,1.1.1,3.0,Adversary,,,,,6.0,6.0,https://pypi.org/project/Adversary,2018-08-29 15:14:41.000000,,16.0,16.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n732,Auptimizer,LGE-ARC-AdvancedAI/auptimizer,,hyperopt,https://github.com/LGE-ARC-AdvancedAI/auptimizer,https://github.com/LGE-ARC-AdvancedAI/auptimizer,GPL-3.0,2019-09-12 01:08:37.000000,2020-12-04 01:00:53.000000,2020-12-04 00:51:11.000000,20.0,,3.0,154,68.0,An automatic ML model optimization tool.,11.0,13,False,2020-11-19 05:14:22.000000,1.4,6.0,auptimizer,,,,,,,https://pypi.org/project/auptimizer,2020-11-19 00:23:49.000000,,50.0,50.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n733,nx-altair,Zsailer/nx_altair,,data-viz,https://github.com/Zsailer/nx_altair,https://github.com/Zsailer/nx_altair,MIT,2018-05-13 00:10:12.000000,2020-09-30 12:01:08.000000,2020-06-02 21:10:26.000000,19.0,4.0,4.0,153,51.0,Draw interactive NetworkX graphs with Altair.,3.0,13,True,2020-06-02 21:11:12.000000,0.1.6,8.0,nx-altair,,,,['jupyter'],2.0,,https://pypi.org/project/nx-altair,2020-06-02 21:11:12.000000,2.0,127.0,127.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n734,ModelChimp,ModelChimp/modelchimp,,ml-experiments,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03.000000,2021-01-08 00:58:53.000000,2019-12-06 08:58:55.000000,11.0,4.0,10.0,119,357.0,Experiment tracking for machine and deep learning projects.,2.0,13,False,2019-04-09 10:43:15.000000,0.4.0,37.0,modelchimp,,modelchimp/modelchimp-server,,,,,https://pypi.org/project/modelchimp,2019-04-09 10:41:20.000000,,68.0,92.0,,,,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,634.0,3.0,,,,,,,,,,,,,,,,,,,,\n735,LazyCluster,ml-tooling/lazycluster,,distributed-ml,https://github.com/ml-tooling/lazycluster,https://github.com/ml-tooling/lazycluster,Apache-2.0,2019-08-07 08:05:13.000000,2021-01-06 15:20:04.000000,2020-12-14 15:24:53.000000,4.0,,,32,,Distributed machine learning made simple.,2.0,13,False,2020-12-14 15:25:59.000000,0.2.4,5.0,lazycluster,,,,,2.0,2.0,https://pypi.org/project/lazycluster,2020-12-14 14:49:33.000000,,154.0,154.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n736,Medical Detection Toolkit,MIC-DKFZ/medicaldetectiontoolkit,,medical-data,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,Apache-2.0,2018-10-12 12:34:57.000000,2020-10-14 11:17:37.000000,2020-04-18 12:52:08.000000,229.0,27.0,85.0,887,36.0,\"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..\",3.0,12,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n737,GraphVite,DeepGraphLearning/graphvite,,graph,https://github.com/DeepGraphLearning/graphvite,https://github.com/DeepGraphLearning/graphvite,Apache-2.0,2019-07-16 15:48:20.000000,2020-03-19 18:21:30.972000,2020-03-18 23:16:04.000000,115.0,25.0,51.0,826,14.0,GraphVite: A General and High-performance Graph Embedding System.,1.0,12,True,,,4.0,,milagraph/graphvite,,,,,,,,,,195.0,https://anaconda.org/milagraph/graphvite,2020-03-19 18:21:30.972000,3329.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n738,Julius,adefossez/julius,,audio,https://github.com/adefossez/julius,https://github.com/adefossez/julius,MIT,2020-10-26 10:54:21.000000,2020-12-10 12:50:51.000000,2020-12-10 12:50:47.000000,6.0,,3.0,163,,Fast PyTorch based DSP for audio and 1D signals.,2.0,12,True,2020-11-25 18:04:38.000000,0.2.0,4.0,julius,,,,['pytorch'],1.0,1.0,https://pypi.org/project/julius,2020-11-25 18:04:38.000000,,138.0,138.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n739,featurewiz,AutoViML/featurewiz,,hyperopt,https://github.com/AutoViML/featurewiz,https://github.com/AutoViML/featurewiz,Apache-2.0,2020-11-29 16:46:16.000000,2020-12-27 16:17:18.000000,2020-12-27 16:15:42.000000,8.0,,,15,,Select the best features from your data set fast with a single line of code.,,12,False,2020-12-27 16:17:18.000000,0.0.14,14.0,featurewiz,,,,,,,https://pypi.org/project/featurewiz,2020-12-27 16:17:18.000000,,495.0,495.0,,,,,,,,3.0,,True,,,,,,,,,,,,,,,,,,\n740,MedicalNet,Tencent/MedicalNet,,medical-data,https://github.com/Tencent/MedicalNet,https://github.com/Tencent/MedicalNet,MIT,2019-07-17 09:53:10.000000,2020-08-27 13:37:27.000000,2020-08-27 13:37:26.000000,274.0,40.0,14.0,1032,26.0,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,1.0,11,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n741,Devol,joeddav/devol,,hyperopt,https://github.com/joeddav/devol,https://github.com/joeddav/devol,MIT,2017-02-10 03:07:54.000000,2020-07-05 21:56:59.000000,2020-07-05 21:56:58.000000,109.0,7.0,20.0,925,116.0,Genetic neural architecture search with Keras.,18.0,11,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n742,PySparNN,facebookresearch/pysparnn,,nn-search,https://github.com/facebookresearch/pysparnn,https://github.com/facebookresearch/pysparnn,BSD-3-Clause,2016-03-28 20:43:42.000000,2020-10-02 06:01:01.000000,2018-01-31 16:50:23.000000,142.0,11.0,13.0,843,147.0,Approximate Nearest Neighbor Search for Sparse Data in Python!.,5.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n743,ONNX-T5,abelriboulot/onnxt5,,nlp,https://github.com/abelriboulot/onnxt5,https://github.com/abelriboulot/onnxt5,Apache-2.0,2020-08-01 09:38:35.000000,2020-09-02 11:27:43.000000,2020-09-02 11:27:37.000000,16.0,3.0,5.0,133,68.0,\"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..\",2.0,11,False,2020-08-15 15:25:00.000000,0.1.6,10.0,onnxt5,,,,,,,https://pypi.org/project/onnxt5,2020-09-02 11:22:09.000000,,52.0,52.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n744,Attribution Priors,suinleelab/attributionpriors,,interpretability,https://github.com/suinleelab/attributionpriors,https://github.com/suinleelab/attributionpriors,MIT,2019-06-24 23:54:24.000000,2020-09-12 05:57:02.000000,2020-09-12 05:56:51.000000,3.0,1.0,3.0,72,64.0,Tools for training explainable models using attribution priors.,6.0,11,False,2019-07-18 21:13:37.000000,0.1.3,4.0,attributionpriors,,,,\"['tensorflow', 'pytorch']\",,,https://pypi.org/project/attributionpriors,2019-10-31 18:03:05.000000,,15.0,15.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n745,traintool,jrieke/traintool,,ml-experiments,https://github.com/jrieke/traintool,https://github.com/jrieke/traintool,Apache-2.0,2020-09-30 22:23:05.000000,2020-11-18 02:51:43.000000,2020-11-18 02:50:52.000000,1.0,,,8,120.0,Train off-the-shelf machine learning models in one line of code.,,11,False,2020-11-02 02:25:32.000000,0.0.3,3.0,traintool,,,,\"['pytorch', 'tensorflow', 'sklearn']\",,,https://pypi.org/project/traintool,2020-11-02 02:25:32.000000,,32.0,32.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n746,Hypertunity,gdikov/hypertunity,,hyperopt,https://github.com/gdikov/hypertunity,https://github.com/gdikov/hypertunity,Apache-2.0,2019-06-02 12:04:55.000000,2020-01-26 23:14:49.000000,2020-01-26 22:53:29.000000,9.0,,2.0,118,64.0,A toolset for black-box hyperparameter optimisation.,2.0,10,False,2020-01-26 23:08:16.000000,1.0.1,7.0,hypertunity,,,,,2.0,2.0,https://pypi.org/project/hypertunity,2020-01-26 23:08:16.000000,,16.0,16.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n747,traingenerator,jrieke/traingenerator,,others,https://github.com/jrieke/traingenerator,https://github.com/jrieke/traingenerator,MIT,2020-12-03 16:47:16.000000,2021-01-07 07:43:23.000000,2021-01-03 04:47:54.000000,99.0,7.0,,816,,A web app to generate template code for machine learning.,1.0,9,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n"
  },
  {
    "path": "history/2021-01-13_changes.md",
    "content": "## 📈 Trending Up\n\n_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._\n\n- <b><a href=\"https://github.com/matplotlib/matplotlib\">Matplotlib</a></b> (🥇41 ·  ⭐ 13K · 📈) - matplotlib: plotting with Python. <code><a href=\"http://bit.ly/35wkF7y\">Python-2.0</a></code>\n- <b><a href=\"https://github.com/pytorch/vision\">torchvision</a></b> (🥇36 ·  ⭐ 8.1K · 📈) - Datasets, Transforms and Models specific to Computer.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/EpistasisLab/tpot\">TPOT</a></b> (🥇30 ·  ⭐ 7.7K · 📈) - A Python Automated Machine Learning tool that optimizes.. <code><a href=\"http://bit.ly/37RvQcA\">❗️LGPL-3.0</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/facebookresearch/faiss\">Faiss</a></b> (🥇29 ·  ⭐ 12K · 📈) - A library for efficient similarity search and clustering of dense vectors. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/lmcinnes/umap\">UMAP</a></b> (🥈29 ·  ⭐ 4.4K · 📈) - Uniform Manifold Approximation and Projection. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/blue-yonder/tsfresh\">tsfresh</a></b> (🥇27 ·  ⭐ 5.3K · 📈) - Automatic extraction of relevant features from time series:. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/pytorch/captum\">Captum</a></b> (🥈26 ·  ⭐ 2.1K · 📈) - Model interpretability and understanding for PyTorch. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/yahoo/TensorFlowOnSpark\">TensorFlowOnSpark</a></b> (🥈25 ·  ⭐ 3.6K · 📈) - TensorFlowOnSpark brings TensorFlow programs to.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code><img src=\"https://git.io/JLy1N\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/andosa/treeinterpreter\">TreeInterpreter</a></b> (🥈23 ·  ⭐ 640 · 📈) - Package for interpreting scikit-learn's decision tree.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/PaddlePaddle/PARL\">PARL</a></b> (🥉21 ·  ⭐ 1.8K · 📈) - A high-performance distributed training framework for.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1M\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n\n## 📉 Trending Down\n\n_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._\n\n- <b><a href=\"https://github.com/albumentations-team/albumentations\">Albumentations</a></b> (🥈28 ·  ⭐ 7K · 📉) - Fast image augmentation library and easy to use wrapper.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/robinhood/faust\">faust</a></b> (🥈27 ·  ⭐ 5.2K · 📉) - Python Stream Processing. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/huggingface/tokenizers\">Tokenizers</a></b> (🥈27 ·  ⭐ 4.2K · 📉) - Fast State-of-the-Art Tokenizers optimized for Research and.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/tensorflow/model-optimization\">TF Model Optimization</a></b> (🥈26 ·  ⭐ 940 · 📉) - A toolkit to optimize ML models for deployment for.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/deezer/spleeter\">spleeter</a></b> (🥈25 ·  ⭐ 15K · 📉) - Deezer source separation library including pretrained models. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/facebookresearch/nevergrad\">nevergrad</a></b> (🥈25 ·  ⭐ 2.8K · 📉) - A Python toolbox for performing gradient-free optimization. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/bethgelab/foolbox\">Foolbox</a></b> (🥇25 ·  ⭐ 1.8K · 📉) - A Python toolbox to create adversarial examples that fool neural.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/timesler/facenet-pytorch\">facenet-pytorch</a></b> (🥈25 ·  ⭐ 1.8K · 📉) - Pretrained Pytorch face detection (MTCNN) and.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/fastnlp/fastNLP\">fastNLP</a></b> (🥈24 ·  ⭐ 2K · 📉) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/cltk/cltk\">CLTK</a></b> (🥈24 ·  ⭐ 630 · 📉) - The Classical Language Toolkit. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n\n## ➕ Added Projects\n\n_Projects that were recently added to this best-of list._\n\n- <b><a href=\"https://github.com/joblib/joblib\">joblib</a></b> (🥇35 ·  ⭐ 2.3K · ➕) - Computing with Python functions. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/dask/distributed\">dask.distributed</a></b> (🥇34 ·  ⭐ 1.1K · ➕) - A distributed task scheduler for Dask. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/rq/rq\">rq</a></b> (🥇33 ·  ⭐ 7.5K · ➕) - Simple job queues for Python. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/Toblerity/Shapely\">Shapely</a></b> (🥇33 ·  ⭐ 2.1K · ➕) - Manipulation and analysis of geometric objects. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/fxsjy/jieba\">jieba</a></b> (🥇31 ·  ⭐ 25K · 💤) - Chinese Words Segmentation Utilities. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/wandb/client\">wandb client</a></b> (🥇30 ·  ⭐ 2.6K · ➕) - A tool for visualizing and tracking your machine learning.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/hmmlearn/hmmlearn\">hmmlearn</a></b> (🥇29 ·  ⭐ 2.2K · ➕) - Hidden Markov Models in Python, with scikit-learn like API. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/keras-team/keras-preprocessing\">Keras-Preprocessing</a></b> (🥇29 ·  ⭐ 900 · ➕) - Utilities for working with image data, text data, and.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/snowballstem/snowball\">snowballstemmer</a></b> (🥈29 ·  ⭐ 460 · ➕) - Snowball compiler and stemming algorithms. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/openai/baselines\">baselines</a></b> (🥇28 ·  ⭐ 11K · 💤) - OpenAI Baselines: high-quality implementations of reinforcement.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/has2k1/plotnine\">plotnine</a></b> (🥈28 ·  ⭐ 2.5K · ➕) - A grammar of graphics for Python. <code><a href=\"http://bit.ly/2KucAZR\">❗️GPL-2.0</a></code>\n- <b><a href=\"https://github.com/bukosabino/ta\">ta</a></b> (🥇27 ·  ⭐ 1.7K · ➕) - Technical Analysis Library using Pandas and Numpy. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/rlabbe/filterpy\">filterpy</a></b> (🥈27 ·  ⭐ 1.6K · ➕) - Python Kalman filtering and optimal estimation library. Implements.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/arviz-devs/arviz\">arviz</a></b> (🥇27 ·  ⭐ 930 · ➕) - Exploratory analysis of Bayesian models with Python. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/pydata/patsy\">patsy</a></b> (🥈27 ·  ⭐ 730 · 💀) - Describing statistical models in Python using symbolic formulas. <code><a href=\"http://bit.ly/3rqEWVr\">BSD-2</a></code>\n- <b><a href=\"https://github.com/tensorflow/data-validation\">data-validation</a></b> (🥈27 ·  ⭐ 500 · ➕) - Library for exploring and validating machine learning.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/beetbox/audioread\">audioread</a></b> (🥈27 ·  ⭐ 360 · ➕) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/alkaline-ml/pmdarima\">pmdarima</a></b> (🥈26 ·  ⭐ 800 · ➕) - A statistical library designed to fill the void in Python's time.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/annoviko/pyclustering\">pyclustering</a></b> (🥈26 ·  ⭐ 780 · ➕) - pyclustring is a Python, C++ data mining library. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/frictionlessdata/tabulator-py\">tabulator-py</a></b> (🥉26 ·  ⭐ 200 · ➕) - Python library for reading and writing tabular data via streams. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/cjhutto/vaderSentiment\">vaderSentiment</a></b> (🥈25 ·  ⭐ 2.7K · 💤) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/jettify/pytorch-optimizer\">pytorch-optimizer</a></b> (🥇25 ·  ⭐ 1.6K · ➕) - torch-optimizer -- collection of optimizers for.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/parrt/dtreeviz\">dtreeviz</a></b> (🥈25 ·  ⭐ 1.3K · ➕) - A python library for decision tree visualization and model.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/Blosc/bcolz\">bcolz</a></b> (🥉25 ·  ⭐ 910 · ➕) - A columnar data container that can be compressed. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/luispedro/mahotas\">mahotas</a></b> (🥈25 ·  ⭐ 660 · ➕) - Computer Vision in Python. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/ROCmSoftwarePlatform/tensorflow-upstream\">tensorflow-upstream</a></b> (🥉25 ·  ⭐ 530 · ➕) - TensorFlow ROCm port. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/Lasagne/Lasagne\">Lasagne</a></b> (🥉24 ·  ⭐ 3.8K · 💀) - Lightweight library to build and train neural networks in Theano. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/jameslyons/python_speech_features\">python_speech_features</a></b> (🥉24 ·  ⭐ 1.8K · ➕) - This library provides common speech features for ASR.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/uber/causalml\">causalml</a></b> (🥈24 ·  ⭐ 1.5K · ➕) - Uplift modeling and causal inference with machine learning.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/uber/petastorm\">petastorm</a></b> (🥈24 ·  ⭐ 1K · ➕) - Petastorm library enables single machine or distributed.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/activeloopai/Hub\">Hub</a></b> (🥈24 ·  ⭐ 540 · ➕) - The fastest way to access and manage datasets for PyTorch and.. <code><a href=\"http://bit.ly/3postzC\">MPL-2.0</a></code>\n- <b><a href=\"https://github.com/yzhao062/combo\">combo</a></b> (🥈24 ·  ⭐ 470 · ➕) - A Python Toolbox for Machine Learning Model Combination. <code><a href=\"http://bit.ly/3rqEWVr\">BSD-2</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code>xgboost</code>\n- <b><a href=\"https://github.com/SALib/SALib\">SALib</a></b> (🥉24 ·  ⭐ 420 · ➕) - Sensitivity Analysis Library in Python (Numpy). Contains Sobol, Morris,.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/minrk/findspark\">findspark</a></b> (🥈24 ·  ⭐ 380 · 💤) - Find pyspark to make it importable. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1N\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/TeamHG-Memex/sklearn-crfsuite\">sklearn-crfsuite</a></b> (🥈24 ·  ⭐ 350 · 💀) - scikit-learn inspired API for CRFsuite. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/isnowfy/snownlp\">snownlp</a></b> (🥉23 ·  ⭐ 5.2K · 💤) - Python library for processing Chinese text. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/NervanaSystems/neon\">neon</a></b> (🥉23 ·  ⭐ 3.9K · 💀) - Intel Nervana reference deep learning framework committed to best.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/abhiTronix/vidgear\">vidgear</a></b> (🥉23 ·  ⭐ 1.6K · ➕) - High-performance cross-platform Video Processing Python.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/DmitryUlyanov/Multicore-TSNE\">Multicore-TSNE</a></b> (🥉23 ·  ⭐ 1.5K · ➕) - Parallel t-SNE implementation with Python and Torch.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/sepandhaghighi/pycm\">pycm</a></b> (🥉23 ·  ⭐ 1K · ➕) - Multi-class confusion matrix library in Python. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/stared/livelossplot\">livelossplot</a></b> (🥉23 ·  ⭐ 1K · ➕) - Live training loss plot in Jupyter Notebook for Keras,.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/tableau/TabPy\">TabPy</a></b> (🥉23 ·  ⭐ 1K · ➕) - Execute Python code on the fly and display results in Tableau.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/jealous/stockstats\">stockstats</a></b> (🥉23 ·  ⭐ 690 · ➕) - Supply a wrapper ``StockDataFrame`` based on the.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/devsnd/tinytag\">tinytag</a></b> (🥉23 ·  ⭐ 430 · ➕) - Read music meta data and length of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/parrt/random-forest-importances\">random-forest-importances</a></b> (🥈23 ·  ⭐ 400 · ➕) - Code to compute permutation and drop-column.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/okfn/messytables\">messytables</a></b> (🥉23 ·  ⭐ 360 · 💀) - Tools for parsing messy tabular data. This is now superseded by.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/BayesWitnesses/m2cgen\">m2cgen</a></b> (🥈22 ·  ⭐ 1.7K · ➕) - Transform ML models into a native code (Java, C, Python, Go,.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/guofei9987/scikit-opt\">scikit-opt</a></b> (🥉22 ·  ⭐ 1.7K · ➕) - Genetic Algorithm, Particle Swarm Optimization, Simulated.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/nubank/fklearn\">fklearn</a></b> (🥉22 ·  ⭐ 1.3K · ➕) - fklearn: Functional Machine Learning. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/iskandr/fancyimpute\">fancyimpute</a></b> (🥉22 ·  ⭐ 910 · ➕) - Multivariate imputation and matrix completion.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/JustGlowing/minisom\">minisom</a></b> (🥉22 ·  ⭐ 750 · ➕) - MiniSom is a minimalistic implementation of the Self.. <code><a href=\"https://tldrlegal.com/search?q=CC-BY-3.0\">❗️CC-BY-3.0</a></code>\n- <b><a href=\"https://github.com/keunwoochoi/kapre\">kapre</a></b> (🥉22 ·  ⭐ 690 · ➕) - kapre: Keras Audio Preprocessors. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/raphaelvallat/pingouin\">pingouin</a></b> (🥉22 ·  ⭐ 610 · ➕) - Statistical package in Python based on Pandas. <code><a href=\"http://bit.ly/2M0xdwT\">❗️GPL-3.0</a></code>\n- <b><a href=\"https://github.com/CellProfiler/CellProfiler\">CellProfiler</a></b> (🥉22 ·  ⭐ 530 · ➕) - An open-source application for biological image analysis. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/marcharper/python-ternary\">python-ternary</a></b> (🥉22 ·  ⭐ 380 · ➕) - Ternary plotting library for python with matplotlib. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/koaning/scikit-lego\">scikit-lego</a></b> (🥉22 ·  ⭐ 370 · ➕) - Extra blocks for scikit-learn pipelines. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/instacart/lore\">lore</a></b> (🥉21 ·  ⭐ 1.5K · 💤) - Lore makes machine learning approachable for Software Engineers and.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/fairlearn/fairlearn\">fairlearn</a></b> (🥉21 ·  ⭐ 650 · ➕) - A Python package to assess and improve fairness of machine.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/claesenm/optunity\">optunity</a></b> (🥉21 ·  ⭐ 360 · 💤) - optimization routines for hyperparameter tuning. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/dssg/aequitas\">aequitas</a></b> (🥉21 ·  ⭐ 340 · ➕) - Bias and Fairness Audit Toolkit. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/sbebo/joypy\">joypy</a></b> (🥉21 ·  ⭐ 310 · ➕) - Joyplots in Python with matplotlib & pandas. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/shawnbrown/datatest\">datatest</a></b> (🥉21 ·  ⭐ 230 · ➕) - Tools for test driven data-wrangling and data validation. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/maximtrp/scikit-posthocs\">scikit-posthocs</a></b> (🥉21 ·  ⭐ 170 · ➕) - Pairwise Multiple Comparisons (Post Hoc) Tests in.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/douban/dpark\">dpark</a></b> (🥉20 ·  ⭐ 2.6K · ➕) - Python clone of Spark, a MapReduce alike framework in Python. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1N\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/EdjoLabs/image-match\">image-match</a></b> (🥉20 ·  ⭐ 2.5K · ➕) - Quickly search over billions of images. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/minimaxir/gpt-2-simple\">gpt-2-simple</a></b> (🥉20 ·  ⭐ 2.4K · 💤) - Python package to easily retrain OpenAI's GPT-2 text-.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/WZBSocialScienceCenter/pdftabextract\">pdftabextract</a></b> (🥉20 ·  ⭐ 1.9K · 💀) - A set of tools for extracting tables from PDF files.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/waleedka/hiddenlayer\">hiddenlayer</a></b> (🥉20 ·  ⭐ 1.4K · 💤) - Neural network graphs and training metrics for.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/marcotcr/checklist\">checklist</a></b> (🥉20 ·  ⭐ 1.2K · ➕) - 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Fluent data pipelines for python and your shell. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/ploomber/ploomber\">ploomber</a></b> (🥉18 ·  ⭐ 110 · ➕) - A convention over configuration workflow orchestrator. 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13:09:27.000000,2021-01-13 00:08:04.000000,2021-01-13 00:08:02.000000,,,,2,,Collection of database clients for python.,,0,True,2021-01-13 00:08:15.000000,2021.01.12,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n3,Tensorflow,tensorflow/tensorflow,,ml-frameworks,https://github.com/tensorflow/tensorflow,https://github.com/tensorflow/tensorflow,Apache-2.0,2015-11-07 01:19:20.000000,2021-01-12 22:46:28.000000,2021-01-12 22:45:38.000000,83535.0,4248.0,25629.0,154206,102693.0,An Open Source Machine Learning Framework for Everyone.,3488.0,44,True,2021-01-06 17:51:27.000000,2.3.2,114.0,tensorflow,conda-forge/tensorflow,tensorflow/tensorflow,https://www.tensorflow.org/overview,['tensorflow'],139450.0,116926.0,https://pypi.org/project/tensorflow,2020-12-14 17:58:05.000000,22524.0,5307910.0,6097053.0,https://anaconda.org/conda-forge/tensorflow,2020-07-15 22:30:18.070000,2257098.0,https://hub.docker.com/r/tensorflow/tensorflow,2021-01-12 17:14:07.829792,1829.0,46514163.0,1.0,,,,,,,,,,,,,,,,,,,,\n4,pandas,pandas-dev/pandas,,data-containers,https://github.com/pandas-dev/pandas,https://github.com/pandas-dev/pandas,BSD-3-Clause,2010-08-24 01:37:33.000000,2021-01-12 23:41:33.000000,2021-01-12 13:51:58.000000,11669.0,3558.0,16285.0,28037,25586.0,\"Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R..\",2567.0,43,True,2020-12-26 16:58:54.000000,1.2.0,87.0,pandas,conda-forge/pandas,,,['pandas'],441770.0,364986.0,https://pypi.org/project/pandas,2020-12-26 16:58:54.000000,76784.0,23927368.0,24162327.0,https://anaconda.org/conda-forge/pandas,2020-12-27 15:52:28.489000,13109091.0,,,,,1.0,73010.0,,,,,,,,,,,,,,,,,,,\n5,numpy,numpy/numpy,,data-containers,https://github.com/numpy/numpy,https://github.com/numpy/numpy,BSD-3-Clause,2010-09-13 23:02:39.000000,2021-01-12 22:02:49.000000,2021-01-11 22:15:16.000000,5157.0,2232.0,7239.0,15948,25195.0,The fundamental package for scientific computing with Python.,1233.0,42,True,2021-01-05 17:49:34.000000,1.19.5,94.0,numpy,conda-forge/numpy,,,,766800.0,597078.0,https://pypi.org/project/numpy,2021-01-05 17:19:38.000000,169722.0,38635922.0,38911500.0,https://anaconda.org/conda-forge/numpy,2021-01-11 07:51:33.196000,15103268.0,,,,,1.0,293889.0,,,,,,,,,,,,,,,,,,,\n6,scikit-learn,scikit-learn/scikit-learn,,ml-frameworks,https://github.com/scikit-learn/scikit-learn,https://github.com/scikit-learn/scikit-learn,BSD-3-Clause,2010-08-17 09:43:38.000000,2021-01-12 22:41:39.000000,2021-01-12 14:30:36.000000,20797.0,2325.0,6600.0,43702,26418.0,scikit-learn: machine learning in Python.,2118.0,41,True,2020-12-22 16:55:16.000000,0.24.0,52.0,scikit-learn,conda-forge/scikit-learn,,,['sklearn'],219847.0,181959.0,https://pypi.org/project/scikit-learn,2020-12-22 15:06:38.000000,37888.0,10006816.0,10118658.0,https://anaconda.org/conda-forge/scikit-learn,2020-12-22 17:47:32.588000,6262583.0,,,,,1.0,631.0,,,,,,,,,,,,,,,,,,,\n7,Matplotlib,matplotlib/matplotlib,,data-viz,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,Python-2.0,2011-02-19 03:17:12.000000,2021-01-12 22:53:31.000000,2021-01-12 21:50:07.000000,5570.0,1654.0,5920.0,12926,37574.0,matplotlib: plotting with Python.,1192.0,41,True,2020-11-12 04:43:18.000000,3.3.3,61.0,matplotlib,conda-forge/matplotlib,,,,390877.0,311773.0,https://pypi.org/project/matplotlib,2020-11-12 04:43:18.000000,79104.0,9174362.0,9294836.0,https://anaconda.org/conda-forge/matplotlib,2020-11-18 02:20:26.810000,7710393.0,,,,,1.0,,1.0,,,,,,,,,,,,,,,,,,\n8,scipy,scipy/scipy,,others,https://github.com/scipy/scipy,https://github.com/scipy/scipy,BSD-3-Clause,2011-03-09 18:52:03.000000,2021-01-12 19:24:26.000000,2021-01-11 12:19:57.000000,3507.0,1569.0,5657.0,7824,24773.0,\"Ecosystem of open-source software for mathematics, science, and engineering.\",1107.0,40,True,2020-12-31 15:02:43.000000,1.6.0,59.0,scipy,conda-forge/scipy,,,,378347.0,291485.0,https://pypi.org/project/scipy,2020-12-22 21:20:33.000000,86862.0,13805994.0,14018855.0,https://anaconda.org/conda-forge/scipy,2021-01-12 04:49:45.843000,11662582.0,,,,,1.0,303689.0,,,,,,,,,,,,,,,,,,,\n9,PyTorch,pytorch/pytorch,,ml-frameworks,https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41.000000,2021-01-12 22:47:35.000000,2021-01-12 22:17:55.000000,11654.0,7100.0,12571.0,45422,32708.0,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,2457.0,39,True,2020-12-10 17:19:58.000000,1.7.1,30.0,torch,pytorch/pytorch,,https://pytorch.org/docs/stable/index.html,['pytorch'],65060.0,58378.0,https://pypi.org/project/torch,2020-12-10 16:22:02.000000,6682.0,1748497.0,2003631.0,https://anaconda.org/pytorch/pytorch,2020-12-10 16:11:32.801000,9695092.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n10,PySpark,apache/spark,,ml-frameworks,https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08.000000,2021-01-12 22:13:08.000000,2021-01-12 19:19:45.000000,23195.0,204.0,,28513,29062.0,Apache Spark Python API.,2383.0,38,True,2020-09-07 15:29:07.000000,3.0.1,21.0,pyspark,conda-forge/pyspark,,,['spark'],1298.0,538.0,https://pypi.org/project/pyspark,2020-09-07 15:29:07.000000,760.0,6585921.0,6604730.0,https://anaconda.org/conda-forge/pyspark,2020-09-07 17:29:01.440000,865233.0,,,,,1.0,,,stable/spark,,,,,,,,,,,,,,,,,\n11,Pillow,python-pillow/Pillow,,image,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000000,2021-01-12 10:53:56.000000,2021-01-12 10:53:54.000000,1554.0,233.0,1859.0,8098,11100.0,The friendly PIL fork (Python Imaging Library).,343.0,38,True,2021-01-02 20:13:09.000000,8.1.0,77.0,Pillow,conda-forge/pillow,,,,491718.0,380292.0,https://pypi.org/project/Pillow,2021-01-02 20:11:59.000000,111426.0,13913759.0,14030981.0,https://anaconda.org/conda-forge/pillow,2021-01-11 23:44:30.126000,6681676.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n12,spaCy,explosion/spaCy,,nlp,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000000,2021-01-12 19:33:11.000000,2021-01-08 00:36:22.000000,3200.0,90.0,4148.0,17997,11722.0,Industrial-strength Natural Language Processing (NLP) with Python and Cython.,544.0,37,True,2020-12-11 14:45:05.000000,2.3.5,169.0,spacy,conda-forge/spacy,,,,23373.0,20307.0,https://pypi.org/project/spacy,2020-12-11 14:45:05.000000,3066.0,881124.0,910553.0,https://anaconda.org/conda-forge/spacy,2020-12-18 10:09:15.705000,1380488.0,,,,,1.0,2913.0,,,,,,,,,,,,,,,,,,,\n13,Celery,celery/celery,,data-pipelines,https://github.com/celery/celery,https://github.com/celery/celery,BSD-3-Clause,2009-04-24 11:31:24.000000,2021-01-12 22:47:02.000000,2021-01-12 17:09:53.000000,3928.0,498.0,3920.0,16524,11494.0,Asynchronous task queue/job queue based on distributed message passing.,1076.0,37,True,2020-12-16 15:41:18.000000,5.0.5,171.0,celery,conda-forge/celery,,,,75713.0,47479.0,https://pypi.org/project/celery,2020-12-16 15:34:09.000000,28234.0,1961482.0,1967746.0,https://anaconda.org/conda-forge/celery,2020-11-11 10:39:38.599000,363318.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n14,networkx,networkx/networkx,,graph,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44.000000,2021-01-12 23:07:34.000000,2021-01-12 22:15:43.000000,2155.0,253.0,2287.0,8473,6380.0,Network Analysis in Python.,486.0,37,True,2020-08-22 20:10:33.000000,networkx-2.5,52.0,networkx,conda-forge/networkx,,,,85012.0,64194.0,https://pypi.org/project/networkx,2020-08-22 20:38:37.000000,20818.0,5241809.0,5297603.0,https://anaconda.org/conda-forge/networkx,2020-08-23 19:29:02.065000,2845509.0,,,,,1.0,51.0,,,,,,,,,,,,,,,,,,,\n15,transformers,huggingface/transformers,,nlp,https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000000,2021-01-12 22:50:28.000000,2021-01-12 22:50:27.000000,9600.0,533.0,5098.0,39259,6293.0,Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.,748.0,36,True,2020-12-17 17:09:51.000000,4.1.1,44.0,transformers,conda-forge/transformers,,,\"['pytorch', 'tensorflow']\",6958.0,6830.0,https://pypi.org/project/transformers,2020-12-17 16:27:28.000000,128.0,670407.0,671414.0,https://anaconda.org/conda-forge/transformers,2020-12-19 08:26:53.237000,14407.0,,,,,1.0,1240.0,,,,,,,,,,,,,,,,,,,\n16,Faker,joke2k/faker,,data-loading,https://github.com/joke2k/faker,https://github.com/joke2k/faker,MIT,2012-11-12 23:00:09.000000,2021-01-12 22:16:15.000000,2021-01-12 22:16:13.000000,1346.0,137.0,348.0,11924,2513.0,Faker is a Python package that generates fake data for you.,382.0,36,True,2021-01-12 20:04:44.000000,5.5.1,109.0,Faker,conda-forge/faker,,,,27017.0,22305.0,https://pypi.org/project/Faker,2021-01-12 20:04:26.000000,4712.0,1942149.0,1950004.0,https://anaconda.org/conda-forge/faker,2021-01-11 22:36:23.214000,361371.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n17,torchvision,pytorch/vision,,image,https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000000,2021-01-12 22:44:18.000000,2021-01-11 10:11:32.000000,4201.0,444.0,1058.0,8120,1406.0,\"Datasets, Transforms and Models specific to Computer Vision.\",350.0,36,True,2020-12-10 17:10:41.000000,0.8.2,21.0,torchvision,conda-forge/torchvision,,,['pytorch'],43439.0,38827.0,https://pypi.org/project/torchvision,2020-12-10 16:27:20.000000,4612.0,751974.0,752895.0,https://anaconda.org/conda-forge/torchvision,2018-10-14 22:06:28.203000,34108.0,,,,,1.0,,1.0,,,,,,,,,,,,,,,,,,\n18,SymPy,sympy/sympy,,others,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000000,2021-01-12 23:50:39.000000,2021-01-12 08:50:35.000000,3209.0,3953.0,7081.0,7740,45730.0,A computer algebra system written in pure Python.,1034.0,36,True,2020-12-12 23:23:00.000000,1.7.1,36.0,sympy,conda-forge/sympy,,,,34405.0,27983.0,https://pypi.org/project/sympy,2020-12-12 23:23:00.000000,6422.0,549763.0,576413.0,https://anaconda.org/conda-forge/sympy,2021-01-08 20:38:32.429000,1235819.0,,,,,1.0,412401.0,,,,,,,,,,,,,,,,,,,\n19,StatsModels,statsmodels/statsmodels,,ml-frameworks,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000000,2021-01-12 19:36:48.000000,2021-01-12 19:36:47.000000,2145.0,2063.0,2238.0,5896,13543.0,Statsmodels: statistical modeling and econometrics in Python.,298.0,36,True,2020-10-29 16:36:43.000000,0.12.1,24.0,statsmodels,conda-forge/statsmodels,,,,42236.0,35580.0,https://pypi.org/project/statsmodels,2020-10-29 16:36:43.000000,6656.0,1947476.0,2004263.0,https://anaconda.org/conda-forge/statsmodels,2021-01-12 04:40:51.933000,3123326.0,,,,,1.0,25.0,,,,,,,,,,,,,,,,,,,\n20,Tensorboard,tensorflow/tensorboard,,ml-experiments,https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000000,2021-01-12 23:27:16.000000,2021-01-12 23:25:42.000000,1338.0,563.0,906.0,5113,4159.0,TensorFlow's Visualization Toolkit.,249.0,36,True,2020-11-12 03:15:42.000000,2.4.0,35.0,tensorboard,conda-forge/tensorboard,,,['tensorflow'],54541.0,50927.0,https://pypi.org/project/tensorboard,2020-11-12 03:15:33.000000,3614.0,5157941.0,5198071.0,https://anaconda.org/conda-forge/tensorboard,2020-11-12 07:26:37.897000,1524960.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n21,scikit-image,scikit-image/scikit-image,,image,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,BSD-2-Clause,2011-07-07 22:07:20.000000,2021-01-11 21:55:43.000000,2021-01-11 21:17:03.000000,1713.0,644.0,1474.0,4127,12458.0,Image processing in Python.,475.0,36,True,2020-12-23 06:36:46.000000,0.18.1,35.0,scikit-image,conda-forge/scikit-image,,,,73038.0,58264.0,https://pypi.org/project/scikit-image,2020-12-23 06:36:46.000000,14774.0,1823791.0,1860324.0,https://anaconda.org/conda-forge/scikit-image,2020-12-23 15:59:08.642000,2045901.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n22,h5py,h5py/h5py,,data-containers,https://github.com/h5py/h5py,https://github.com/h5py/h5py,BSD-3-Clause,2012-09-21 00:40:02.000000,2021-01-11 10:26:23.000000,2021-01-11 10:23:17.000000,393.0,182.0,941.0,1464,3495.0,HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.,158.0,36,True,2020-11-06 14:30:54.000000,3.1.0,25.0,h5py,conda-forge/h5py,,,,121039.0,98103.0,https://pypi.org/project/h5py,2020-11-06 14:30:54.000000,22936.0,5296477.0,5372606.0,https://anaconda.org/conda-forge/h5py,2021-01-01 10:48:16.133000,4414594.0,,,,,1.0,773.0,,,,,,,,,,,,,,,,,,,\n23,Keras,keras-team/keras,,ml-frameworks,https://github.com/keras-team/keras,https://github.com/keras-team/keras,MIT,2015-03-28 00:35:42.000000,2021-01-12 01:35:45.000000,2021-01-11 23:41:04.000000,18680.0,3156.0,7222.0,50501,5367.0,Deep Learning for humans.,895.0,35,True,2020-06-24 22:40:48.000000,2.4.3,53.0,keras,conda-forge/keras,,https://keras.io,['tensorflow'],14996.0,,https://pypi.org/project/keras,2020-06-24 22:40:48.000000,14996.0,1877061.0,1903392.0,https://anaconda.org/conda-forge/keras,2020-06-25 19:13:34.254000,1395564.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n24,OpenAI Gym,openai/gym,,reinforcement-learning,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16.000000,2021-01-11 17:58:50.000000,2021-01-11 17:58:46.000000,6600.0,235.0,1062.0,23166,1241.0,A toolkit for developing and comparing reinforcement learning algorithms.,272.0,35,True,2020-12-19 00:29:36.000000,0.18.0,92.0,gym,,,,,20680.0,17118.0,https://pypi.org/project/gym,2020-12-19 00:29:36.000000,3562.0,290517.0,290517.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n25,XGBoost,dmlc/xgboost,,ml-frameworks,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000000,2021-01-12 20:44:07.000000,2021-01-12 20:42:07.000000,7854.0,237.0,3645.0,20382,5184.0,\"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..\",501.0,35,True,2020-12-22 13:38:41.000000,1.3.1,50.0,xgboost,conda-forge/xgboost,,https://xgboost.readthedocs.io/en/latest/,,14491.0,12899.0,https://pypi.org/project/xgboost,2020-12-09 19:03:33.000000,1592.0,2546455.0,2574526.0,https://anaconda.org/conda-forge/xgboost,2020-12-10 13:41:20.626000,1290244.0,,,,,1.0,1886.0,,,,,,,,,,,,,,,,,,,\n26,Airflow,apache/airflow,,data-pipelines,https://github.com/apache/airflow,https://github.com/apache/airflow,Apache-2.0,2015-04-13 18:04:58.000000,2021-01-12 23:52:39.519303,2021-01-12 23:32:49.000000,7764.0,979.0,1817.0,20197,11382.0,\"Platform to programmatically author, schedule, and monitor workflows.\",1702.0,35,True,2020-12-18 13:21:47.000000,2.0.0,67.0,apache-airflow,conda-forge/airflow,apache/airflow,,,294.0,,https://pypi.org/project/apache-airflow,2020-12-14 17:07:53.000000,294.0,545330.0,610221.0,https://anaconda.org/conda-forge/airflow,2020-11-26 16:17:26.980000,258023.0,https://hub.docker.com/r/apache/airflow,2021-01-12 23:52:39.519303,202.0,3993278.0,1.0,75048.0,,stable/airflow,,,,,,,,,,,,,,,,,\n27,LightGBM,microsoft/LightGBM,,ml-frameworks,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000000,2021-01-12 22:46:38.000000,2021-01-11 17:01:25.000000,3171.0,97.0,1945.0,12049,2208.0,\"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..\",196.0,35,True,2020-12-08 03:00:35.000000,3.1.1,24.0,lightgbm,conda-forge/lightgbm,,,,5808.0,5252.0,https://pypi.org/project/lightgbm,2020-12-08 03:00:35.000000,556.0,1395301.0,1408218.0,https://anaconda.org/conda-forge/lightgbm,2020-12-08 18:04:57.617000,462763.0,,,,,1.0,85484.0,,,,,,,,,,,,,,,,,,,\n28,gensim,RaRe-Technologies/gensim,,nlp,https://github.com/RaRe-Technologies/gensim,https://github.com/RaRe-Technologies/gensim,LGPL-2.1,2011-02-10 07:43:04.000000,2021-01-12 00:15:25.000000,2020-11-15 20:49:41.000000,3825.0,349.0,1243.0,11577,3849.0,Topic Modelling for Humans.,384.0,35,False,2020-05-04 05:55:15.000000,3.8.3,83.0,gensim,conda-forge/gensim,,,,24717.0,19975.0,https://pypi.org/project/gensim,2020-11-15 12:53:37.000000,4742.0,7471279.0,7485978.0,https://anaconda.org/conda-forge/gensim,2020-05-14 08:28:35.604000,586085.0,,,,,1.0,2944.0,,,,,,,,,,,,,,,,,,,\n29,Plotly,plotly/plotly.py,,data-viz,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000000,2021-01-12 18:42:58.000000,2021-01-12 17:00:00.000000,1711.0,760.0,1045.0,8622,4917.0,The interactive graphing library for Python (includes Plotly Express).,160.0,35,True,2021-01-12 17:01:21.000000,4.14.3,265.0,plotly,conda-forge/plotly,,,,4991.0,5.0,https://pypi.org/project/plotly,2021-01-12 16:12:40.000000,4982.0,2678012.0,2725449.0,https://anaconda.org/conda-forge/plotly,2021-01-12 17:11:42.117000,1149188.0,,,,,1.0,,,,plotlywidget,https://www.npmjs.com/package/plotlywidget,2021-01-12 16:09:46.133000,4.0,25755.0,,,,,,,,,,,,\n30,Seaborn,mwaskom/seaborn,,data-viz,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000000,2021-01-12 16:40:55.000000,2021-01-10 20:08:31.000000,1361.0,82.0,1660.0,7983,2738.0,Statistical data visualization using matplotlib.,145.0,35,True,2020-12-20 20:53:25.000000,0.11.1,23.0,seaborn,conda-forge/seaborn,,,,89778.0,76992.0,https://pypi.org/project/seaborn,2020-12-20 20:53:25.000000,12786.0,1887288.0,1922402.0,https://anaconda.org/conda-forge/seaborn,2020-12-21 10:06:33.576000,1860993.0,,,,,1.0,112.0,,,,,,,,,,,,,,,,,,,\n31,dask,dask/dask,,distributed-ml,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000000,2021-01-12 21:59:33.000000,2021-01-11 16:39:58.000000,1204.0,714.0,2789.0,7749,6278.0,Parallel computing with task scheduling.,421.0,35,True,2020-12-11 01:53:58.000000,2020.12.0,109.0,dask,conda-forge/dask,,,,28335.0,24419.0,https://pypi.org/project/dask,2020-12-11 01:53:58.000000,3916.0,1243660.0,1294051.0,https://anaconda.org/conda-forge/dask,2020-12-11 06:35:53.129000,2821934.0,,,,,1.0,,,stable/dask,,,,,,,,,,,,,,,,,\n32,Arrow,apache/arrow,,data-containers,https://github.com/apache/arrow,https://github.com/apache/arrow,Apache-2.0,2016-02-17 08:00:23.000000,2021-01-12 23:09:20.000000,2021-01-12 19:19:21.000000,1725.0,127.0,541.0,6867,8314.0,Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-..,612.0,35,True,2020-10-19 21:15:12.000000,2.0.0,29.0,pyarrow,conda-forge/arrow,,,,1015.0,29.0,https://pypi.org/project/pyarrow,2020-10-19 21:15:12.000000,986.0,13865368.0,13873363.0,https://anaconda.org/conda-forge/arrow,2021-01-12 20:46:01.093000,447761.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n33,joblib,joblib/joblib,,data-pipelines,https://github.com/joblib/joblib,https://github.com/joblib/joblib,BSD-3-Clause,2010-05-07 06:48:26.000000,2021-01-12 11:48:34.000000,2020-12-28 10:07:59.000000,286.0,291.0,350.0,2304,1365.0,Computing with Python functions.,98.0,35,True,2020-12-14 14:21:00.000000,1.0.0,99.0,joblib,conda-forge/joblib,,,,82844.0,76234.0,https://pypi.org/project/joblib,2020-12-14 14:21:00.000000,6610.0,15683192.0,15735255.0,https://anaconda.org/conda-forge/joblib,2020-12-14 14:36:22.998000,2811405.0,,,,,1.0,,,,,,,,,True,,,,,,,,,,,\n34,MXNet,apache/incubator-mxnet,,ml-frameworks,https://github.com/apache/incubator-mxnet,https://github.com/apache/incubator-mxnet,Apache-2.0,2015-04-30 16:21:15.000000,2021-01-12 22:33:06.000000,2021-01-12 21:53:17.000000,6803.0,1812.0,7543.0,19220,11498.0,\"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..\",948.0,34,True,2020-08-28 05:08:24.000000,1.7.0,976.0,mxnet,mxnet,,,['mxnet'],2164.0,1720.0,https://pypi.org/project/mxnet,2020-08-28 06:18:15.000000,444.0,145062.0,145631.0,https://anaconda.org/anaconda/mxnet,2020-02-29 00:58:31.007000,5669.0,,,,,2.0,23334.0,,,,,,,,,0.0,,,,,,,,,,\n35,dash,plotly/dash,,data-viz,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000000,2021-01-07 01:35:50.000000,2021-01-07 01:35:48.000000,1401.0,401.0,553.0,13684,3542.0,\"Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.\",70.0,34,True,2020-12-09 22:01:52.000000,1.18.1,136.0,dash,conda-forge/dash,,,,17995.0,16387.0,https://pypi.org/project/dash,2020-12-09 21:34:25.000000,1608.0,223927.0,230361.0,https://anaconda.org/conda-forge/dash,2020-12-11 15:37:58.126000,205890.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n36,nltk,nltk/nltk,,nlp,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58.000000,2021-01-12 19:15:53.000000,2021-01-02 00:33:13.000000,2397.0,243.0,1221.0,9539,,Suite of libraries and programs for symbolic and statistical natural language processing for English.,386.0,34,True,2019-08-20 10:55:21.000000,3.4.5,39.0,nltk,conda-forge/nltk,,,,106519.0,85527.0,https://pypi.org/project/nltk,2020-04-12 23:46:10.000000,20992.0,4639483.0,4651039.0,https://anaconda.org/conda-forge/nltk,2019-08-08 17:07:46.504000,612476.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n37,Theano,Theano/Theano,,ml-frameworks,https://github.com/Theano/Theano,https://github.com/Theano/Theano,BSD-3-Clause,2011-08-10 03:48:06.000000,2020-11-01 11:19:03.292000,2020-09-05 10:39:50.000000,2501.0,674.0,2081.0,9328,28123.0,\"Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-..\",382.0,34,True,2020-07-27 16:13:54.000000,1.0.5,45.0,theano,conda-forge/theano,,,,15464.0,9990.0,https://pypi.org/project/theano,2020-07-27 16:13:54.000000,5474.0,200525.0,223899.0,https://anaconda.org/conda-forge/theano,2020-11-01 11:19:03.292000,1262247.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n38,mlflow,mlflow/mlflow,,ml-experiments,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000000,2021-01-12 23:30:53.000000,2021-01-12 15:10:26.000000,1840.0,657.0,1028.0,8138,1848.0,Open source platform for the machine learning lifecycle.,273.0,34,True,2020-12-31 09:17:41.000000,1.13.1,40.0,mlflow,conda-forge/mlflow,,,,1933.0,1779.0,https://pypi.org/project/mlflow,2020-12-31 08:55:08.000000,154.0,2477059.0,2486469.0,https://anaconda.org/conda-forge/mlflow,2021-01-11 17:08:19.258000,197619.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n39,dask.distributed,dask/distributed,,distributed-ml,https://github.com/dask/distributed,https://github.com/dask/distributed,BSD-3-Clause,2015-09-13 18:42:29.000000,2021-01-12 18:22:54.000000,2021-01-12 18:22:52.000000,505.0,697.0,1254.0,1132,3765.0,A distributed task scheduler for Dask.,226.0,34,True,2020-12-11 02:10:35.000000,2020.12.0,140.0,distributed,conda-forge/distributed,,,,17911.0,16133.0,https://pypi.org/project/distributed,2020-12-11 02:10:35.000000,1778.0,694835.0,757433.0,https://anaconda.org/conda-forge/distributed,2020-12-11 05:32:03.655000,3505493.0,,,,,1.0,,,,,,,,,True,,,,,,,,,,,\n40,Bokeh,bokeh/bokeh,,data-viz,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000000,2021-01-12 17:56:31.000000,2021-01-11 23:34:57.000000,3591.0,590.0,5728.0,14510,,\"Interactive Data Visualization in the browser, from Python.\",543.0,33,True,2020-10-21 02:39:03.000000,2.2.3,82.0,bokeh,conda-forge/bokeh,,,,35558.0,29686.0,https://pypi.org/project/bokeh,2021-01-11 23:41:48.000000,5872.0,1040053.0,1119039.0,https://anaconda.org/conda-forge/bokeh,2020-11-23 14:37:30.508000,3554407.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n41,Ray,ray-project/ray,,distributed-ml,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000000,2021-01-12 23:21:09.000000,2021-01-12 21:08:55.000000,2280.0,1163.0,4469.0,14414,6908.0,\"An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged..\",415.0,33,True,2020-12-24 10:13:39.000000,1.1.0,43.0,ray,,,,,1623.0,1463.0,https://pypi.org/project/ray,2020-12-24 10:13:39.000000,160.0,171945.0,171945.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n42,luigi,spotify/luigi,,data-pipelines,https://github.com/spotify/luigi,https://github.com/spotify/luigi,Apache-2.0,2012-09-20 15:06:38.000000,2021-01-07 09:23:20.000000,2020-12-29 12:23:53.000000,2208.0,67.0,835.0,14099,3940.0,\"Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution,..\",548.0,33,True,2020-09-23 11:57:43.000000,3.0.2,72.0,luigi,luigi,,,,1978.0,1302.0,https://pypi.org/project/luigi,2020-09-23 11:57:12.000000,676.0,361882.0,361987.0,https://anaconda.org/anaconda/luigi,2020-07-21 19:50:10.849000,6239.0,,,,,1.0,,,stable/luigi,,,,,,,,,,,,,,,,,\n43,pytorch-lightning,PyTorchLightning/pytorch-lightning,,ml-frameworks,https://github.com/PyTorchLightning/pytorch-lightning,https://github.com/PyTorchLightning/pytorch-lightning,Apache-2.0,2019-03-31 00:45:57.000000,2021-01-12 22:07:30.000000,2021-01-12 21:35:43.000000,1296.0,343.0,2388.0,11394,4057.0,\"The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.\",363.0,33,True,2021-01-12 20:34:37.000000,1.1.4,145.0,pytorch-lightning,conda-forge/pytorch-lightning,,,['pytorch'],1643.0,1629.0,https://pypi.org/project/pytorch-lightning,2021-01-06 10:28:26.000000,14.0,94415.0,96376.0,https://anaconda.org/conda-forge/pytorch-lightning,2021-01-06 12:51:32.031000,13721.0,,,,,2.0,34.0,,,,,,,,,,,,,,,,,,,\n44,shap,slundberg/shap,,interpretability,https://github.com/slundberg/shap,https://github.com/slundberg/shap,MIT,2016-11-22 19:17:08.000000,2021-01-12 17:10:08.000000,2021-01-05 05:03:17.000000,1633.0,892.0,491.0,11386,1746.0,A game theoretic approach to explain the output of any machine learning model.,141.0,33,True,2020-11-04 21:38:32.000000,0.37.0,92.0,shap,conda-forge/shap,,,,1998.0,1862.0,https://pypi.org/project/shap,2020-11-04 21:38:32.000000,136.0,775853.0,787956.0,https://anaconda.org/conda-forge/shap,2020-12-16 19:26:39.477000,350989.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n45,dlib,davisking/dlib,,ml-frameworks,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000000,2021-01-12 17:51:04.000000,2021-01-06 12:48:16.000000,2832.0,46.0,1808.0,9794,7899.0,A toolkit for making real world machine learning and data analysis applications in C++.,162.0,33,False,2020-12-04 19:23:04.000000,19.21.1,28.0,dlib,conda-forge/dlib,,,,9266.0,7908.0,https://pypi.org/project/dlib,2020-12-04 19:23:04.000000,1358.0,68835.0,74182.0,https://anaconda.org/conda-forge/dlib,2020-12-05 11:14:31.456000,259245.0,,,,,2.0,24294.0,,,,,,,,,,,,,,,,,,,\n46,onnx,onnx/onnx,,model-serialisation,https://github.com/onnx/onnx,https://github.com/onnx/onnx,Apache-2.0,2017-09-07 04:53:45.000000,2021-01-12 21:21:18.000000,2021-01-12 00:39:16.000000,1752.0,514.0,915.0,9614,1661.0,Open standard for machine learning interoperability.,191.0,33,True,2020-11-07 00:55:30.000000,1.8.0,19.0,onnx,conda-forge/onnx,,,,2666.0,2370.0,https://pypi.org/project/onnx,2020-11-06 22:46:10.000000,296.0,316874.0,321859.0,https://anaconda.org/conda-forge/onnx,2021-01-11 17:10:25.997000,179911.0,,,,,1.0,9800.0,,,,,,,,,,,,,,,,,,,\n47,rq,rq/rq,,data-pipelines,https://github.com/rq/rq,https://github.com/rq/rq,BSD-3-Clause,2011-11-14 10:53:48.000000,2021-01-09 23:15:05.000000,2021-01-09 03:12:51.000000,1192.0,139.0,667.0,7461,1547.0,Simple job queues for Python.,221.0,33,True,2020-11-29 09:48:18.000000,1.7.0,63.0,rq,conda-forge/rq,,,,10393.0,7069.0,https://pypi.org/project/rq,2020-11-29 09:47:08.000000,3324.0,225466.0,226257.0,https://anaconda.org/conda-forge/rq,2020-11-29 15:11:15.371000,42748.0,,,,,1.0,,,,,,,,,True,,,,,,,,,,,\n48,geopy,geopy/geopy,,geospatial-data,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000000,2020-12-31 17:30:28.000000,2020-12-27 16:15:28.000000,524.0,24.0,212.0,3167,1004.0,Geocoding library for Python.,117.0,33,True,2020-12-27 13:15:23.000000,2.1.0,57.0,geopy,conda-forge/geopy,,,,22657.0,15413.0,https://pypi.org/project/geopy,2020-12-27 13:12:21.000000,7244.0,3812891.0,3821443.0,https://anaconda.org/conda-forge/geopy,2020-12-27 14:22:55.127000,496027.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n49,Shapely,Toblerity/Shapely,,geospatial-data,https://github.com/Toblerity/Shapely,https://github.com/Toblerity/Shapely,BSD-3-Clause,2011-12-31 19:43:11.000000,2021-01-05 16:55:25.000000,2020-12-15 22:43:38.000000,367.0,134.0,567.0,2102,1481.0,Manipulation and analysis of geometric objects.,104.0,33,True,2020-08-20 23:31:01.000000,1.7.1,99.0,shapely,conda-forge/shapely,,,,20867.0,15409.0,https://pypi.org/project/shapely,2020-08-20 23:31:01.000000,5458.0,1997503.0,2028595.0,https://anaconda.org/conda-forge/shapely,2020-10-13 00:26:59.387000,1958834.0,,,,,1.0,,,,,,,,,True,,,,,,,,,,,\n50,xlrd,python-excel/xlrd,,data-loading,https://github.com/python-excel/xlrd,https://github.com/python-excel/xlrd,BSD-3-Clause,2012-03-07 04:50:48.000000,2021-01-09 20:35:27.639000,2020-12-12 15:24:25.000000,406.0,3.0,,1842,502.0,Please use openpyxl where you can...,50.0,33,True,2020-12-11 10:14:20.000000,2.0.1,24.0,xlrd,conda-forge/xlrd,,,,74874.0,61300.0,https://pypi.org/project/xlrd,2020-12-11 10:14:20.000000,13574.0,5310215.0,5334999.0,https://anaconda.org/conda-forge/xlrd,2021-01-09 20:35:27.639000,1140092.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n51,Fastai,fastai/fastai,,ml-frameworks,https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000000,2021-01-12 20:11:29.000000,2021-01-12 20:11:25.000000,6890.0,54.0,1295.0,20258,1647.0,The fastai deep learning library.,472.0,32,True,2021-01-12 20:11:29.000000,2.2.3,113.0,fastai,,,,['pytorch'],368.0,,https://pypi.org/project/fastai,2021-01-07 16:53:29.000000,368.0,136719.0,136719.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n52,jax,google/jax,,ml-frameworks,https://github.com/google/jax,https://github.com/google/jax,Apache-2.0,2018-10-25 21:25:02.000000,2021-01-12 22:34:32.000000,2021-01-12 21:47:20.000000,931.0,715.0,1349.0,11026,6510.0,\"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.\",242.0,32,True,2020-12-05 06:20:45.000000,0.2.8,87.0,jax,conda-forge/jaxlib,,,,1022.0,976.0,https://pypi.org/project/jax,2021-01-12 17:00:28.000000,46.0,84437.0,88163.0,https://anaconda.org/conda-forge/jaxlib,2020-10-14 04:33:18.732000,67071.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n53,tensor2tensor,tensorflow/tensor2tensor,,tensorflow-utils,https://github.com/tensorflow/tensor2tensor,https://github.com/tensorflow/tensor2tensor,Apache-2.0,2017-06-15 16:57:39.000000,2020-12-15 01:23:04.000000,2020-11-16 14:28:10.000000,2704.0,544.0,663.0,10794,4345.0,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,230.0,32,True,2020-06-17 16:15:36.000000,1.15.7,79.0,tensor2tensor,,,,['tensorflow'],962.0,880.0,https://pypi.org/project/tensor2tensor,2020-06-17 16:15:36.000000,82.0,83934.0,83934.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n54,Rasa,RasaHQ/rasa,,nlp,https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49.000000,2021-01-12 21:18:46.000000,2021-01-12 15:54:15.000000,3223.0,564.0,4325.0,10515,24193.0,\"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..\",453.0,32,True,2021-01-12 22:16:23.000000,2.2.5,176.0,rasa,,,,['tensorflow'],64.0,,https://pypi.org/project/rasa,2021-01-08 16:47:04.000000,64.0,74465.0,74465.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n55,PyMC3,pymc-devs/pymc3,,probabilistics,https://github.com/pymc-devs/pymc3,https://github.com/pymc-devs/pymc3,Apache-2.0,2009-05-05 09:43:50.000000,2021-01-12 18:04:58.000000,2021-01-10 16:49:06.000000,1316.0,150.0,1959.0,5480,7626.0,Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano.,303.0,32,True,2020-12-07 15:59:43.000000,3.10.0,30.0,pymc3,conda-forge/pymc3,,,,2230.0,1944.0,https://pypi.org/project/pymc3,2020-12-07 15:45:00.000000,286.0,115977.0,120669.0,https://anaconda.org/conda-forge/pymc3,2020-12-07 20:54:14.048000,239285.0,,,,,1.0,145.0,,,,,,,,,,,,,,,,,,,\n56,folium,python-visualization/folium,,geospatial-data,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000000,2021-01-11 02:23:34.000000,2021-01-04 08:41:39.000000,1896.0,146.0,684.0,5080,1467.0,Python Data. Leaflet.js Maps.,120.0,32,True,2021-01-06 19:37:18.000000,0.12.0,24.0,folium,conda-forge/folium,,,,8970.0,8002.0,https://pypi.org/project/folium,2021-01-06 19:37:18.000000,968.0,214861.0,220245.0,https://anaconda.org/conda-forge/folium,2021-01-06 21:06:10.173000,312290.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n57,Beam,apache/beam,,data-pipelines,https://github.com/apache/beam,https://github.com/apache/beam,Apache-2.0,2016-02-02 08:00:06.000000,2021-01-12 22:09:09.000000,2021-01-12 06:00:56.000000,2817.0,124.0,,4504,30200.0,\"Unified programming model to define and execute data processing pipelines, including ETL, batch and stream processing.\",992.0,32,True,2021-01-08 20:56:28.000000,2.27.0,30.0,apache-beam,,,,,186.0,,https://pypi.org/project/apache-beam,2021-01-08 20:08:17.000000,186.0,1585142.0,1585142.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n58,xmltodict,martinblech/xmltodict,,data-loading,https://github.com/martinblech/xmltodict,https://github.com/martinblech/xmltodict,MIT,2012-04-17 14:38:21.000000,2020-11-05 01:54:38.000000,2020-04-26 05:15:03.000000,395.0,63.0,134.0,4230,205.0,Python module that makes working with XML feel like you are working with JSON.,41.0,32,True,2019-02-11 07:00:26.000000,0.12.0,27.0,xmltodict,conda-forge/xmltodict,,,,28409.0,20175.0,https://pypi.org/project/xmltodict,2019-02-11 07:00:26.000000,8234.0,3923952.0,3935240.0,https://anaconda.org/conda-forge/xmltodict,2019-02-11 11:53:14.803000,598279.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n59,Tablib,jazzband/tablib,,data-loading,https://github.com/jazzband/tablib,https://github.com/jazzband/tablib,MIT,2011-03-28 02:36:50.000000,2020-12-13 06:03:08.000000,2020-12-11 07:22:54.000000,560.0,34.0,197.0,3834,1123.0,\"Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c.\",110.0,32,True,2020-12-05 14:56:28.000000,3.0.0,38.0,tablib,conda-forge/tablib,,,,11360.0,9002.0,https://pypi.org/project/tablib,2020-12-05 14:56:28.000000,2358.0,550116.0,551232.0,https://anaconda.org/conda-forge/tablib,2020-12-05 16:40:48.469000,55812.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n60,tensorflow-hub,tensorflow/hub,,tensorflow-utils,https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42.000000,2021-01-12 07:26:03.000000,2021-01-12 07:25:58.000000,1438.0,45.0,493.0,2673,819.0,A library for transfer learning by reusing parts of TensorFlow models.,66.0,32,True,2021-01-06 16:20:30.000000,0.11.0,14.0,tensorflow-hub,conda-forge/tensorflow-hub,,,['tensorflow'],5275.0,4961.0,https://pypi.org/project/tensorflow-hub,2021-01-06 16:20:30.000000,314.0,837017.0,838576.0,https://anaconda.org/conda-forge/tensorflow-hub,2020-08-24 16:43:36.561000,48338.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n61,TensorFlow Datasets,tensorflow/datasets,,data-loading,https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000000,2021-01-12 20:41:37.000000,2021-01-12 20:41:28.000000,938.0,401.0,520.0,2610,3689.0,\"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...\",180.0,32,True,2021-01-07 09:50:58.000000,4.2.0,21.0,tensorflow-datasets,,,,['tensorflow'],3433.0,3331.0,https://pypi.org/project/tensorflow-datasets,2021-01-07 09:50:58.000000,102.0,539522.0,539522.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n62,Thinc,explosion/thinc,,ml-frameworks,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59.000000,2021-01-05 02:39:31.000000,2021-01-05 02:39:30.000000,198.0,17.0,81.0,2149,4869.0,\"A refreshing functional take on deep learning, compatible with your favorite libraries.\",36.0,32,True,2020-12-11 09:45:43.000000,7.4.5,182.0,thinc,conda-forge/thinc,,,,11685.0,10547.0,https://pypi.org/project/thinc,2020-12-16 23:18:41.000000,1138.0,834496.0,852423.0,https://anaconda.org/conda-forge/thinc,2020-12-18 09:40:27.092000,842579.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n63,xarray,pydata/xarray,,data-containers,https://github.com/pydata/xarray,https://github.com/pydata/xarray,Apache-2.0,2013-09-30 17:21:10.000000,2021-01-12 22:53:37.000000,2021-01-12 16:44:48.000000,613.0,766.0,1869.0,1893,3473.0,N-D labeled arrays and datasets in Python.,288.0,32,True,2020-11-30 21:28:55.000000,0.16.2,55.0,xarray,conda-forge/xarray,,,,5977.0,4845.0,https://pypi.org/project/xarray,2020-11-30 21:26:20.000000,1132.0,271140.0,309877.0,https://anaconda.org/conda-forge/xarray,2020-12-01 04:59:09.242000,2246775.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n64,jieba,fxsjy/jieba,,chinese-nlp,https://github.com/fxsjy/jieba,https://github.com/fxsjy/jieba,MIT,2012-09-29 07:52:01.000000,2020-12-05 18:32:32.000000,2020-02-15 08:33:35.000000,6065.0,592.0,196.0,25246,523.0,Chinese Words Segmentation Utilities.,48.0,31,True,2020-01-20 14:27:23.000000,0.42.1,32.0,jieba,conda-forge/jieba,,,,11496.0,8980.0,https://pypi.org/project/jieba,2020-01-20 14:27:23.000000,2516.0,163336.0,164767.0,https://anaconda.org/conda-forge/jieba,2020-03-25 20:57:40.090000,64413.0,,,,,1.0,,,,,,,,,True,,,,,,,,,,,\n65,DeepSpeech,mozilla/DeepSpeech,,audio,https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53.000000,2021-01-12 18:33:12.000000,2021-01-03 09:56:24.000000,2971.0,85.0,1825.0,16288,3331.0,\"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..\",152.0,31,True,2020-12-10 17:22:09.000000,0.9.3,100.0,deepspeech,,,,['tensorflow'],407.0,378.0,https://pypi.org/project/deepspeech,2020-12-19 10:05:12.000000,29.0,12592.0,26805.0,,,,,,,,1.0,397964.0,,,,,,,,,,,,,,,,,,,\n66,fairseq,pytorch/fairseq,,nlp,https://github.com/pytorch/fairseq,https://github.com/pytorch/fairseq,MIT,2017-08-29 16:26:12.000000,2021-01-12 19:27:22.000000,2021-01-12 19:27:11.000000,2748.0,602.0,1745.0,10950,1705.0,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,283.0,31,True,2021-01-05 20:26:45.000000,0.10.2,13.0,fairseq,,,,['pytorch'],288.0,268.0,https://pypi.org/project/fairseq,2021-01-05 20:26:45.000000,20.0,8748.0,8749.0,,,,,,,,1.0,53.0,,,,,,,,,,,,,,,,,,,\n67,ChatterBot,gunthercox/ChatterBot,,nlp,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00.000000,2021-01-03 01:13:36.000000,2020-08-20 21:16:14.000000,3563.0,206.0,1220.0,10709,1847.0,\"ChatterBot is a machine learning, conversational dialog engine for creating chat bots.\",103.0,31,True,2020-08-22 18:42:43.000000,1.0.8,86.0,chatterbot,,,,,3732.0,3052.0,https://pypi.org/project/chatterbot,2020-08-22 18:40:36.000000,680.0,24834.0,24834.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n68,imgaug,aleju/imgaug,,image,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33.000000,2020-10-19 12:23:22.000000,2020-06-01 14:58:26.000000,1950.0,213.0,203.0,10536,2913.0,Image augmentation for machine learning experiments.,36.0,31,True,2020-02-06 06:18:40.000000,0.4.0,11.0,imgaug,conda-forge/imgaug,,,,5293.0,5015.0,https://pypi.org/project/imgaug,2020-02-05 20:54:22.000000,278.0,138621.0,140245.0,https://anaconda.org/conda-forge/imgaug,2020-02-14 16:06:53.525000,30870.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n69,pyecharts,pyecharts/pyecharts,,data-viz,https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000000,2020-12-23 04:48:43.000000,2020-12-23 04:48:42.000000,2315.0,27.0,1327.0,10356,1510.0,Python Echarts Plotting Library.,29.0,31,True,2020-10-29 15:14:08.000000,1.9.0,66.0,pyecharts,,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,['jupyter'],1705.0,1423.0,https://pypi.org/project/pyecharts,2020-10-29 15:14:08.000000,282.0,34566.0,34566.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n70,wordcloud,amueller/word_cloud,,data-viz,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59.000000,2020-12-30 05:21:08.000000,2020-11-11 21:35:51.000000,2001.0,91.0,343.0,7784,540.0,A little word cloud generator in Python.,58.0,31,True,2020-11-11 21:41:02.000000,1.8.1,16.0,wordcloud,conda-forge/wordcloud,,,,9460.0,8356.0,https://pypi.org/project/wordcloud,2020-11-11 21:41:02.000000,1104.0,232859.0,236272.0,https://anaconda.org/conda-forge/wordcloud,2020-11-16 19:55:57.630000,180912.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n71,Altair,altair-viz/altair,,data-viz,https://github.com/altair-viz/altair,https://github.com/altair-viz/altair,BSD-3-Clause,2015-09-19 03:14:04.000000,2021-01-12 16:59:04.000000,2021-01-12 16:59:02.000000,561.0,265.0,1199.0,6327,3047.0,Declarative statistical visualization library for Python.,121.0,31,True,2020-04-01 13:29:16.000000,4.1.0,26.0,altair,conda-forge/altair,,,,7611.0,7241.0,https://pypi.org/project/altair,2020-04-01 13:23:10.000000,370.0,654796.0,665490.0,https://anaconda.org/conda-forge/altair,2020-04-01 16:49:36.519000,577495.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n72,Catboost,catboost/catboost,,ml-frameworks,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000000,2021-01-12 20:36:21.000000,2021-01-12 20:36:16.000000,858.0,299.0,1027.0,5630,14201.0,\"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..\",715.0,31,True,2020-12-27 09:12:53.000000,0.24.4,91.0,catboost,conda-forge/catboost,,,,162.0,,https://pypi.org/project/catboost,2020-12-27 06:58:33.000000,162.0,760087.0,778451.0,https://anaconda.org/conda-forge/catboost,2020-12-29 11:38:06.128000,550051.0,,,,,2.0,47021.0,,,,,,,,,,,,,,,,,,,\n73,Chainer,chainer/chainer,,ml-frameworks,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37.000000,2020-12-23 09:08:21.000000,2020-12-23 09:08:19.000000,1371.0,16.0,2016.0,5518,30550.0,A flexible framework of neural networks for deep learning.,319.0,31,True,2020-07-30 09:01:53.000000,7.7.0,108.0,chainer,,,,,2539.0,1797.0,https://pypi.org/project/chainer,2020-07-30 09:01:53.000000,742.0,18079.0,18079.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n74,sentencepiece,google/sentencepiece,,nlp,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000000,2021-01-12 17:23:26.000000,2021-01-12 17:23:24.000000,633.0,22.0,388.0,4713,662.0,Unsupervised text tokenizer for Neural Network-based text generation.,48.0,31,True,2021-01-10 06:29:42.000000,0.1.95,30.0,sentencepiece,conda-forge/sentencepiece,,,,5569.0,5329.0,https://pypi.org/project/sentencepiece,2021-01-10 06:29:42.000000,240.0,1025316.0,1029389.0,https://anaconda.org/conda-forge/sentencepiece,2021-01-08 22:01:24.349000,22482.0,,,,,1.0,9476.0,,,,,,,,,,,,,,,,,,,\n75,Optuna,optuna/optuna,,hyperopt,https://github.com/optuna/optuna,https://github.com/optuna/optuna,MIT,2018-02-21 06:12:56.000000,2021-01-12 22:33:54.000000,2021-01-12 07:07:47.000000,441.0,178.0,458.0,3884,8668.0,A hyperparameter optimization framework.,120.0,31,True,2021-01-12 07:33:47.000000,2.4.0,34.0,optuna,conda-forge/optuna,,,,905.0,853.0,https://pypi.org/project/optuna,2020-11-04 04:29:39.000000,52.0,159288.0,160457.0,https://anaconda.org/conda-forge/optuna,2020-11-11 01:21:26.236000,16372.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n76,tensorflow-probability,tensorflow/probability,,probabilistics,https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000000,2021-01-12 22:16:42.000000,2021-01-12 22:16:38.000000,843.0,423.0,514.0,3197,10175.0,Probabilistic reasoning and statistical analysis in TensorFlow.,398.0,31,True,2020-12-29 18:40:25.000000,0.12.1,35.0,tensorflow-probability,conda-forge/tensorflow-probability,,,['tensorflow'],253.0,1.0,https://pypi.org/project/tensorflow-probability,2020-12-29 17:46:08.000000,252.0,306177.0,307434.0,https://anaconda.org/conda-forge/tensorflow-probability,2020-03-13 21:04:53.147000,28922.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n77,scikit-optimize,scikit-optimize/scikit-optimize,,hyperopt,https://github.com/scikit-optimize/scikit-optimize,https://github.com/scikit-optimize/scikit-optimize,BSD-3-Clause,2016-03-20 21:10:54.000000,2021-01-05 21:54:32.000000,2020-12-31 12:07:52.000000,366.0,162.0,353.0,2001,1541.0,Sequential model-based optimization with a `scipy.optimize` interface.,68.0,31,True,2020-09-04 09:08:10.000000,0.8.1,22.0,scikit-optimize,conda-forge/scikit-optimize,,,,1448.0,1288.0,https://pypi.org/project/scikit-optimize,2020-09-04 09:08:10.000000,160.0,482975.0,487323.0,https://anaconda.org/conda-forge/scikit-optimize,2020-09-04 09:50:52.372000,182639.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n78,numexpr,pydata/numexpr,,data-containers,https://github.com/pydata/numexpr,https://github.com/pydata/numexpr,MIT,2013-11-30 22:33:48.000000,2021-01-08 17:59:43.141000,2021-01-04 20:06:02.000000,161.0,53.0,247.0,1506,677.0,\"Fast numerical array expression evaluator for Python, NumPy, PyTables, pandas, bcolz and more.\",55.0,31,True,2020-12-29 18:58:07.000000,2.7.2,38.0,numexpr,conda-forge/numexpr,,,,5482.0,,https://pypi.org/project/numexpr,2020-01-05 17:55:57.000000,5482.0,696623.0,735234.0,https://anaconda.org/conda-forge/numexpr,2021-01-08 17:59:43.141000,2046425.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n79,MNE,mne-tools/mne-python,,medical-data,https://github.com/mne-tools/mne-python,https://github.com/mne-tools/mne-python,BSD-3-Clause,2011-01-28 03:31:13.000000,2021-01-12 21:36:00.000000,2021-01-12 21:07:01.000000,836.0,298.0,3076.0,1473,15695.0,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,229.0,31,True,2020-12-17 15:32:54.000000,0.22.0,50.0,mne,conda-forge/mne,,,,975.0,777.0,https://pypi.org/project/mne,2020-12-17 15:32:54.000000,198.0,20162.0,22207.0,https://anaconda.org/conda-forge/mne,2020-12-20 21:44:36.472000,96136.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n80,imageio,imageio/imageio,,image,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000000,2021-01-08 09:05:25.000000,2021-01-08 09:05:24.000000,163.0,61.0,270.0,820,1127.0,Python library for reading and writing image data.,71.0,31,True,2020-07-10 07:45:22.000000,2.9.0,31.0,imageio,conda-forge/imageio,,,,38558.0,34720.0,https://pypi.org/project/imageio,2020-07-06 13:20:41.000000,3838.0,1919605.0,1952982.0,https://anaconda.org/conda-forge/imageio,2020-07-06 14:13:25.518000,1602134.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n81,zipline,quantopian/zipline,,financial-data,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29.000000,2020-12-18 13:20:06.000000,2020-10-14 16:36:49.000000,3736.0,324.0,645.0,13082,6226.0,\"Zipline, a Pythonic Algorithmic Trading Library.\",151.0,30,True,2020-10-05 15:46:20.429000,1.4.1,30.0,zipline,,,,,825.0,667.0,https://pypi.org/project/zipline,2020-10-05 15:46:20.429000,158.0,4714.0,4714.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n82,Prophet,facebook/prophet,,time-series-data,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000000,2021-01-11 02:51:35.000000,2021-01-08 21:22:56.000000,3435.0,73.0,1424.0,12087,611.0,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,125.0,30,True,2020-09-05 16:12:50.000000,0.7.1,14.0,fbprophet,,,,,150.0,,https://pypi.org/project/fbprophet,2020-09-05 16:12:50.000000,150.0,613246.0,613257.0,,,,,,,,1.0,527.0,,,,,,,,,,,,,,,,,,,\n83,horovod,horovod/horovod,,distributed-ml,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000000,2021-01-12 17:58:01.000000,2021-01-06 22:10:13.000000,1725.0,260.0,1390.0,10685,841.0,\"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.\",110.0,30,True,2021-01-07 00:00:40.000000,0.21.1,62.0,horovod,,,,,347.0,307.0,https://pypi.org/project/horovod,2021-01-07 00:00:40.000000,40.0,114139.0,114139.0,,,,,,,,2.0,,,stable/horovod,,,,,,,,,,,,,,,,,\n84,flair,flairNLP/flair,,nlp,https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,MIT,2018-06-11 11:04:18.000000,2021-01-12 20:49:18.000000,2021-01-12 20:21:02.000000,1450.0,102.0,1317.0,9799,3036.0,A very simple framework for state-of-the-art Natural Language Processing (NLP).,160.0,30,True,2020-12-01 19:35:00.000000,0.7,19.0,flair,,,,['pytorch'],630.0,582.0,https://pypi.org/project/flair,2020-12-01 19:02:38.000000,48.0,38114.0,38114.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n85,TFlearn,tflearn/tflearn,,ml-frameworks,https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,MIT,2016-03-31 12:05:53.000000,2020-11-30 04:35:03.000000,2020-11-30 04:34:51.000000,2423.0,574.0,358.0,9502,613.0,Deep learning library featuring a higher-level API for TensorFlow.,128.0,30,True,2020-11-11 19:26:11.000000,0.5.0,8.0,tflearn,,,,['tensorflow'],3385.0,2904.0,https://pypi.org/project/tflearn,2020-11-11 19:13:47.000000,481.0,12436.0,12436.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n86,TPOT,EpistasisLab/tpot,,hyperopt,https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40.000000,2021-01-12 15:06:12.000000,2021-01-06 15:17:46.000000,1358.0,191.0,581.0,7738,2368.0,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,108.0,30,False,2021-01-06 15:20:08.000000,0.11.7,60.0,tpot,conda-forge/tpot,,,['sklearn'],856.0,776.0,https://pypi.org/project/tpot,2021-01-06 15:20:08.000000,80.0,60601.0,62540.0,https://anaconda.org/conda-forge/tpot,2020-12-14 22:49:13.925000,100866.0,,,,,1.0,,1.0,,,,,,,,,,,,,,,,,,\n87,Vowpal Wabbit,VowpalWabbit/vowpal_wabbit,,ml-frameworks,https://github.com/VowpalWabbit/vowpal_wabbit,https://github.com/VowpalWabbit/vowpal_wabbit,BSD-3-Clause,2009-07-31 19:36:58.000000,2021-01-12 15:59:36.000000,2021-01-11 21:39:21.000000,1707.0,161.0,859.0,7392,8996.0,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,298.0,30,True,2020-11-12 14:41:09.000000,8.9.0,12.0,vowpalwabbit,,,,,107.0,91.0,https://pypi.org/project/vowpalwabbit,2020-11-12 14:41:09.000000,16.0,18611.0,18611.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n88,DVC,iterative/dvc,,ml-experiments,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000000,2021-01-12 17:13:04.000000,2021-01-12 11:26:27.000000,660.0,483.0,2135.0,7039,6210.0,Data Version Control | Git for Data & Models.,203.0,30,True,2021-01-05 12:37:00.000000,1.11.10,289.0,dvc,conda-forge/dvc,,,,571.0,525.0,https://pypi.org/project/dvc,2021-01-05 12:37:00.000000,46.0,48502.0,74311.0,https://anaconda.org/conda-forge/dvc,2021-01-05 15:36:19.374000,436865.0,,,,,1.0,16933.0,,,,,,,,,,dvc,dvc,dvc,,,,,,,\n89,Prefect,PrefectHQ/prefect,,data-pipelines,https://github.com/PrefectHQ/prefect,https://github.com/PrefectHQ/prefect,Apache-2.0,2018-06-29 21:59:26.000000,2021-01-12 22:14:54.000000,2021-01-12 22:14:53.000000,483.0,212.0,1287.0,5693,13041.0,The easiest way to automate your data.,171.0,30,True,2021-01-06 20:34:01.000000,0.14.2,79.0,prefect,conda-forge/prefect,,,,233.0,231.0,https://pypi.org/project/prefect,2021-01-06 20:34:01.000000,2.0,34713.0,37661.0,https://anaconda.org/conda-forge/prefect,2021-01-06 21:51:07.191000,64875.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n90,SpeechRecognition,Uberi/speech_recognition,,audio,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54.000000,2021-01-11 17:26:33.040000,2019-07-02 17:29:47.000000,1849.0,199.0,269.0,5345,360.0,\"Speech recognition module for Python, supporting several engines and APIs, online and offline.\",41.0,30,False,2017-12-05 14:05:14.000000,3.8.1,52.0,SpeechRecognition,conda-forge/speechrecognition,,,,7537.0,6449.0,https://pypi.org/project/SpeechRecognition,2017-12-05 13:58:29.000000,1088.0,114513.0,116285.0,https://anaconda.org/conda-forge/speechrecognition,2021-01-11 17:26:33.040000,93927.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n91,Hyperopt,hyperopt/hyperopt,,hyperopt,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59.000000,2021-01-08 18:19:46.000000,2020-12-24 07:20:10.000000,841.0,329.0,219.0,5330,1168.0,Distributed Asynchronous Hyperparameter Optimization in Python.,84.0,30,True,2020-10-07 09:52:56.000000,0.2.5,11.0,hyperopt,conda-forge/hyperopt,,,,2988.0,2484.0,https://pypi.org/project/hyperopt,2020-10-07 09:52:56.000000,504.0,401080.0,406602.0,https://anaconda.org/conda-forge/hyperopt,2020-10-14 07:57:14.292000,154631.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n92,imbalanced-learn,scikit-learn-contrib/imbalanced-learn,,sklearn-utils,https://github.com/scikit-learn-contrib/imbalanced-learn,https://github.com/scikit-learn-contrib/imbalanced-learn,MIT,2014-08-16 05:08:26.000000,2020-12-23 12:15:04.000000,2020-11-03 21:43:11.000000,1056.0,46.0,401.0,4954,701.0,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,51.0,30,True,2020-06-09 10:45:32.000000,0.7.0,26.0,imbalanced-learn,conda-forge/imbalanced-learn,,,['sklearn'],4063.0,3783.0,https://pypi.org/project/imbalanced-learn,2020-06-09 10:39:03.000000,280.0,746370.0,749057.0,https://anaconda.org/conda-forge/imbalanced-learn,2020-06-14 14:47:57.352000,104819.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n93,CuPy,cupy/cupy,,gpu-utilities,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000000,2021-01-12 21:25:17.000000,2021-01-12 14:06:29.000000,430.0,366.0,863.0,4777,20319.0,A NumPy-compatible array library accelerated by CUDA.,253.0,30,True,2020-12-25 05:33:27.000000,8.3.0,85.0,cupy,conda-forge/cupy,cupy/cupy,,,824.0,632.0,https://pypi.org/project/cupy,2020-12-25 03:21:57.000000,192.0,7787.0,31042.0,https://anaconda.org/conda-forge/cupy,2020-12-30 14:18:34.736000,332868.0,https://hub.docker.com/r/cupy/cupy,2021-01-12 14:11:42.447619,6.0,47675.0,1.0,5251.0,,,,,,,,,,,,,,,,,,,\n94,Tesseract,madmaze/pytesseract,,ocr,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000000,2021-01-04 17:26:55.000000,2021-01-04 17:26:51.000000,504.0,7.0,238.0,3360,357.0,Python-tesseract is an optical character recognition (OCR) tool for python.,36.0,30,True,2020-12-15 05:24:52.000000,0.3.7,24.0,pytesseract,conda-forge/pytesseract,,,,1428.0,,https://pypi.org/project/pytesseract,2020-12-15 05:24:52.000000,1428.0,444668.0,446762.0,https://anaconda.org/conda-forge/pytesseract,2020-11-20 10:05:14.874000,37700.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n95,MLxtend,rasbt/mlxtend,,sklearn-utils,https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16.000000,2021-01-09 21:38:10.000000,2021-01-09 21:38:09.000000,683.0,99.0,261.0,3277,1152.0,A library of extension and helper modules for Python's data analysis and machine learning libraries.,79.0,30,True,2020-11-26 04:18:15.000000,0.18.0,46.0,mlxtend,conda-forge/mlxtend,,,['sklearn'],2437.0,2342.0,https://pypi.org/project/mlxtend,2020-11-26 04:18:15.000000,95.0,198376.0,201915.0,https://anaconda.org/conda-forge/mlxtend,2020-11-26 05:32:00.667000,148640.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n96,bqplot,bqplot/bqplot,,data-viz,https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18.000000,2021-01-08 23:02:09.000000,2021-01-08 23:02:08.000000,403.0,188.0,313.0,2983,3211.0,Plotting library for IPython/Jupyter notebooks.,51.0,30,True,2021-01-08 09:48:32.000000,0.12.20,88.0,bqplot,conda-forge/bqplot,,,['jupyter'],1284.0,1162.0,https://pypi.org/project/bqplot,2021-01-08 09:50:01.000000,112.0,11361.0,134887.0,https://anaconda.org/conda-forge/bqplot,2021-01-08 13:45:19.185000,452725.0,,,,,2.0,,,,bqplot,https://www.npmjs.com/package/bqplot,2020-11-05 14:39:59.043000,10.0,115442.0,,,,,,,,,,,,\n97,torchtext,pytorch/text,,nlp,https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000000,2021-01-12 17:54:09.000000,2021-01-12 17:54:08.000000,584.0,261.0,311.0,2615,698.0,Data loaders and abstractions for text and NLP.,102.0,30,True,2020-12-10 17:03:55.000000,0.8.1,12.0,torchtext,,,,['pytorch'],4213.0,3531.0,https://pypi.org/project/torchtext,2020-12-10 16:28:00.000000,682.0,79746.0,79746.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n98,wandb client,wandb/client,,ml-experiments,https://github.com/wandb/client,https://github.com/wandb/client,MIT,2017-03-24 05:46:23.000000,2021-01-13 00:09:20.000000,2021-01-12 22:41:49.000000,180.0,342.0,640.0,2605,3730.0,A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.,73.0,30,True,2021-01-11 19:44:53.000000,0.10.13,181.0,wandb,,,,,1844.0,1766.0,https://pypi.org/project/wandb,2020-12-04 02:31:10.000000,78.0,173698.0,173698.0,,,,,,,,1.0,,,,,,,,,True,,,,,,,,,,,\n99,mrjob,Yelp/mrjob,,data-pipelines,https://github.com/Yelp/mrjob,https://github.com/Yelp/mrjob,Apache-2.0,2010-10-13 18:35:21.000000,2020-12-24 22:44:29.424000,2020-11-16 22:20:52.000000,590.0,199.0,1089.0,2526,8622.0,Run MapReduce jobs on Hadoop or Amazon Web Services.,142.0,30,True,2020-09-17 22:26:01.000000,0.7.4,60.0,mrjob,conda-forge/mrjob,,,,760.0,648.0,https://pypi.org/project/mrjob,2020-09-17 22:26:01.000000,112.0,106608.0,112531.0,https://anaconda.org/conda-forge/mrjob,2020-12-24 22:44:29.424000,308019.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n100,GeoPandas,geopandas/geopandas,,geospatial-data,https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000000,2021-01-12 21:26:07.000000,2021-01-10 19:18:03.000000,528.0,294.0,658.0,2426,1311.0,Python tools for geographic data.,129.0,30,True,2020-07-15 17:59:00.000000,0.8.1,34.0,geopandas,conda-forge/geopandas,,,['pandas'],8007.0,6841.0,https://pypi.org/project/geopandas,2020-06-24 13:38:40.000000,1166.0,389161.0,403070.0,https://anaconda.org/conda-forge/geopandas,2020-07-16 18:56:42.068000,805885.0,,,,,2.0,841.0,,,,,,,,,,,,,,,,,,,\n101,smart-open,RaRe-Technologies/smart_open,,data-loading,https://github.com/RaRe-Technologies/smart_open,https://github.com/RaRe-Technologies/smart_open,MIT,2015-01-02 13:05:52.000000,2021-01-10 09:24:13.000000,2021-01-10 09:24:05.000000,266.0,69.0,233.0,1886,846.0,\"Utils for streaming large files (S3, HDFS, gzip, bz2...).\",70.0,30,True,2020-12-30 07:19:09.000000,4.1.0,45.0,smart-open,,,,,640.0,,https://pypi.org/project/smart-open,2020-12-30 07:17:50.000000,640.0,8249290.0,8249290.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n102,python-magic,ahupp/python-magic,,data-loading,https://github.com/ahupp/python-magic,https://github.com/ahupp/python-magic,MIT,2010-03-31 22:40:33.000000,2021-01-11 19:48:59.000000,2020-12-11 19:57:07.000000,212.0,28.0,125.0,1810,244.0,A python wrapper for libmagic.,47.0,30,True,2020-05-06 02:30:25.000000,0.4.18,18.0,python-magic,conda-forge/python-magic,,,,16510.0,11378.0,https://pypi.org/project/python-magic,2020-05-06 02:30:25.000000,5132.0,1387785.0,1389425.0,https://anaconda.org/conda-forge/python-magic,2020-12-24 22:42:00.639000,73837.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n103,opencv-python,skvark/opencv-python,,image,https://github.com/skvark/opencv-python,https://github.com/skvark/opencv-python,MIT,2016-04-08 13:36:40.000000,2021-01-03 16:32:34.000000,2020-12-28 18:40:12.000000,306.0,18.0,366.0,1680,749.0,\"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..\",27.0,30,True,2021-01-03 17:36:16.000000,47,47.0,opencv-python,,,,,12560.0,,https://pypi.org/project/opencv-python,2021-01-02 12:15:05.000000,12560.0,2199448.0,2199448.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n104,Rasterio,mapbox/rasterio,,geospatial-data,https://github.com/mapbox/rasterio,https://github.com/mapbox/rasterio,BSD-3-Clause,2013-11-04 16:36:27.000000,2021-01-12 19:45:24.000000,2021-01-12 19:44:37.000000,387.0,135.0,1191.0,1408,3250.0,Rasterio reads and writes geospatial raster datasets.,110.0,30,True,2020-10-21 01:56:29.000000,1.1.8,119.0,rasterio,conda-forge/rasterio,,,,3426.0,2576.0,https://pypi.org/project/rasterio,2021-01-12 15:46:58.000000,850.0,128570.0,143016.0,https://anaconda.org/conda-forge/rasterio,2020-10-30 14:13:05.008000,837337.0,,,,,2.0,702.0,,,,,,,,,,,,,,,,,,,\n105,SageMaker SDK,aws/sagemaker-python-sdk,,ml-experiments,https://github.com/aws/sagemaker-python-sdk,https://github.com/aws/sagemaker-python-sdk,Apache-2.0,2017-11-14 01:03:33.000000,2021-01-12 20:32:10.000000,2021-01-12 20:32:09.000000,558.0,207.0,518.0,1289,1798.0,A library for training and deploying machine learning models on Amazon SageMaker.,163.0,30,True,2021-01-12 17:56:53.000000,2.23.3,299.0,sagemaker,,,,\"['mxnet', 'tensorflow']\",580.0,552.0,https://pypi.org/project/sagemaker,2021-01-12 17:58:48.000000,28.0,414554.0,414554.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n106,TF Addons,tensorflow/addons,,tensorflow-utils,https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17.000000,2021-01-12 02:28:49.000000,2021-01-08 22:10:31.000000,390.0,157.0,611.0,1153,1315.0,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,145.0,30,True,2020-12-23 19:42:08.000000,0.12.0,24.0,tensorflow-addons,,,,['tensorflow'],1971.0,1953.0,https://pypi.org/project/tensorflow-addons,2020-12-23 19:42:08.000000,18.0,246708.0,246708.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n107,Wand,emcconville/wand,,image,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000000,2020-12-08 02:05:17.000000,2020-12-08 02:05:10.000000,183.0,13.0,319.0,1042,1678.0,The ctypes-based simple ImageMagick binding for Python.,94.0,30,True,2020-11-29 20:47:13.000000,0.6.5,47.0,wand,,,,,4209.0,3039.0,https://pypi.org/project/wand,2020-11-29 20:40:49.000000,1170.0,113754.0,113954.0,,,,,,,,2.0,5201.0,,,,,,,,,,,,,,,,,,,\n108,Fiona,Toblerity/Fiona,,geospatial-data,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00.000000,2021-01-08 14:18:57.000000,2020-11-30 07:11:40.000000,165.0,69.0,546.0,768,1093.0,Fiona reads and writes geographic data files.,65.0,30,True,2020-11-17 18:32:17.000000,1.8.18,96.0,fiona,conda-forge/fiona,,,,5981.0,4793.0,https://pypi.org/project/fiona,2020-11-17 18:32:17.000000,1188.0,451312.0,479484.0,https://anaconda.org/conda-forge/fiona,2020-11-17 20:48:12.542000,1633997.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n109,Nilearn,nilearn/nilearn,,medical-data,https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000000,2021-01-12 17:54:09.000000,2021-01-11 08:54:51.000000,371.0,378.0,1065.0,692,9282.0,Machine learning for NeuroImaging in Python.,158.0,30,True,2020-11-12 11:44:49.000000,0.7.0,35.0,nilearn,conda-forge/nilearn,,,['sklearn'],1150.0,848.0,https://pypi.org/project/nilearn,2020-11-12 11:44:49.000000,302.0,8784.0,10137.0,https://anaconda.org/conda-forge/nilearn,2020-11-12 13:26:03.600000,75823.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n110,Face Recognition,ageitgey/face_recognition,,image,https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39.000000,2020-12-19 11:44:26.000000,2020-09-26 15:32:59.000000,10531.0,558.0,526.0,38099,211.0,The world's simplest facial recognition api for Python and the command line.,45.0,29,True,2018-08-21 18:34:21.000000,1.2.3,21.0,face_recognition,,,,['pytorch'],406.0,,https://pypi.org/project/face_recognition,2018-08-21 18:34:21.000000,406.0,30022.0,30031.0,,,,,,,,2.0,438.0,,,,,,,,,,,,,,,,,,,\n111,fastText,facebookresearch/fastText,,nlp,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000000,2020-10-31 15:50:36.000000,2020-07-18 00:20:40.000000,4198.0,400.0,591.0,22119,379.0,Library for fast text representation and classification.,58.0,29,True,2020-04-28 09:54:50.000000,0.9.2,35.0,fasttext,conda-forge/fasttext,,,,1616.0,1426.0,https://pypi.org/project/fasttext,2020-04-28 09:54:50.000000,190.0,112158.0,112596.0,https://anaconda.org/conda-forge/fasttext,2020-10-12 14:55:45.199000,17088.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n112,Magenta,magenta/magenta,,audio,https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40.000000,2021-01-07 00:44:22.000000,2021-01-07 00:44:15.000000,3297.0,293.0,537.0,16174,1372.0,Magenta: Music and Art Generation with Machine Intelligence.,143.0,29,True,2020-11-12 19:17:18.000000,2.1.3,66.0,magenta,,,,['tensorflow'],295.0,260.0,https://pypi.org/project/magenta,2020-11-12 19:17:18.000000,35.0,5058.0,5058.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n113,PaddlePaddle,PaddlePaddle/Paddle,,ml-frameworks,https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000000,2021-01-12 17:22:56.000000,2021-01-12 13:09:08.000000,3387.0,2386.0,10296.0,13789,15069.0,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,488.0,29,True,2020-12-18 09:06:54.000000,2.0.0-rc1,41.0,paddlepaddle,,,,['paddle'],42.0,26.0,https://pypi.org/project/paddlepaddle,2020-12-14 08:03:41.000000,16.0,6791.0,7078.0,,,,,,,,2.0,15247.0,,,,,,,,,,,,,,,,,,,\n114,Faiss,facebookresearch/faiss,,nn-search,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000000,2021-01-11 17:10:13.000000,2021-01-11 16:12:10.000000,2052.0,98.0,1250.0,12120,423.0,A library for efficient similarity search and clustering of dense vectors.,72.0,29,True,2020-12-21 05:24:03.000000,1.6.5,43.0,pymilvus,conda-forge/faiss,,,,299.0,293.0,https://pypi.org/project/pymilvus,2020-10-16 13:11:09.000000,6.0,5522.0,8122.0,https://anaconda.org/conda-forge/faiss,2020-12-12 16:36:49.740000,20800.0,,,,,1.0,,1.0,,,,,,,,,,,,,,,,,,\n115,Turi Create,apple/turicreate,,ml-frameworks,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04.000000,2020-11-18 17:14:31.000000,2020-10-13 23:52:18.000000,1057.0,465.0,1241.0,10088,1565.0,Turi Create simplifies the development of custom machine learning models.,81.0,29,True,2020-09-30 22:51:40.000000,6.4.1,31.0,turicreate,,,,,253.0,219.0,https://pypi.org/project/turicreate,2020-09-30 22:51:40.000000,34.0,12067.0,12162.0,,,,,,,,2.0,3534.0,,,,,,,,,,,,,,,,,,,\n116,AllenNLP,allenai/allennlp,,nlp,https://github.com/allenai/allennlp,https://github.com/allenai/allennlp,Apache-2.0,2017-05-15 15:52:41.000000,2021-01-12 21:54:34.000000,2021-01-08 15:29:19.000000,1979.0,106.0,2124.0,9558,,\"An open-source NLP research library, built on PyTorch.\",231.0,29,True,2020-12-15 22:10:16.000000,1.3.0,154.0,allennlp,,,,['pytorch'],1608.0,1374.0,https://pypi.org/project/allennlp,2020-11-17 18:37:28.000000,234.0,17062.0,17062.0,,,,,,,,2.0,36.0,,,,,,,,,,,,,,,,,,,\n117,Lime,marcotcr/lime,,interpretability,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10.000000,2021-01-12 16:12:19.000000,2021-01-12 16:12:17.000000,1349.0,37.0,438.0,8312,508.0,Lime: Explaining the predictions of any machine learning classifier.,57.0,29,True,2020-04-03 22:05:03.000000,0.2.0.0,37.0,lime,conda-forge/lime,,,,1116.0,988.0,https://pypi.org/project/lime,2020-04-03 22:04:32.000000,128.0,171865.0,173128.0,https://anaconda.org/conda-forge/lime,2020-06-28 01:02:41.538000,61926.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n118,Annoy,spotify/annoy,,nn-search,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40.000000,2020-12-25 08:13:07.000000,2020-12-03 18:21:18.000000,860.0,26.0,265.0,8017,785.0,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,68.0,29,True,2020-09-18 16:07:59.000000,1.17.0,43.0,annoy,,,,,1756.0,1396.0,https://pypi.org/project/annoy,2020-09-18 16:07:59.000000,360.0,220796.0,220796.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n119,fuzzywuzzy,seatgeek/fuzzywuzzy,,nlp,https://github.com/seatgeek/fuzzywuzzy,https://github.com/seatgeek/fuzzywuzzy,GPL-2.0,2011-07-08 19:32:34.000000,2020-12-19 18:34:54.000000,2020-02-13 22:13:43.000000,793.0,84.0,95.0,7755,379.0,Fuzzy String Matching in Python.,67.0,29,False,2020-02-13 22:14:12.000000,0.18.0,27.0,fuzzywuzzy,conda-forge/fuzzywuzzy,,,,10797.0,7591.0,https://pypi.org/project/fuzzywuzzy,2020-02-13 21:06:25.000000,3206.0,2886127.0,2891220.0,https://anaconda.org/conda-forge/fuzzywuzzy,2020-11-18 12:59:01.409000,275045.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n120,TextBlob,sloria/TextBlob,,nlp,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18.000000,2021-01-11 13:19:48.000000,2021-01-11 13:18:33.000000,946.0,69.0,150.0,7480,535.0,\"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..\",33.0,29,True,2019-02-24 23:03:17.000000,0.15.3,55.0,textblob,conda-forge/textblob,,,,12253.0,9761.0,https://pypi.org/project/textblob,2019-02-24 23:03:17.000000,2492.0,248118.0,250164.0,https://anaconda.org/conda-forge/textblob,2019-02-24 23:32:55.233000,108391.0,,,,,2.0,88.0,,,,,,,,,,,,,,,,,,,\n121,MoviePy,Zulko/moviepy,,image,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000000,2021-01-12 23:03:30.000000,2021-01-12 20:00:16.000000,1021.0,337.0,633.0,7206,952.0,Video editing with Python.,134.0,29,True,2020-05-07 16:29:35.000000,1.0.3,84.0,moviepy,conda-forge/moviepy,,,,6787.0,5657.0,https://pypi.org/project/moviepy,2020-10-05 00:26:29.000000,1130.0,120797.0,122496.0,https://anaconda.org/conda-forge/moviepy,2020-02-23 19:57:49.975000,71378.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n122,glfw,glfw/glfw,,image,https://github.com/glfw/glfw,https://github.com/glfw/glfw,Zlib,2013-04-18 15:24:53.000000,2021-01-12 07:48:35.000000,2020-12-14 11:27:57.000000,2615.0,423.0,986.0,7110,4200.0,\"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.\",164.0,29,False,2020-10-04 13:37:52.000000,2.0.0,37.0,glfw,conda-forge/glfw,,,,214.0,,https://pypi.org/project/glfw,2020-10-04 13:37:52.000000,214.0,12785.0,44629.0,https://anaconda.org/conda-forge/glfw,2020-03-20 11:09:31.058000,21446.0,,,,,2.0,2163905.0,,,,,,,,,,,,,,,,,,,\n123,pandas-profiling,pandas-profiling/pandas-profiling,,data-viz,https://github.com/pandas-profiling/pandas-profiling,https://github.com/pandas-profiling/pandas-profiling,MIT,2016-01-09 23:47:55.000000,2021-01-12 17:20:56.000000,2021-01-12 17:19:32.000000,977.0,55.0,356.0,6558,736.0,Create HTML profiling reports from pandas DataFrame objects.,65.0,29,True,2020-09-03 10:11:24.000000,2.9.0,25.0,pandas-profiling,conda-forge/pandas-profiling,,,\"['jupyter', 'pandas']\",2987.0,2827.0,https://pypi.org/project/pandas-profiling,2020-09-03 10:11:24.000000,160.0,204850.0,206665.0,https://anaconda.org/conda-forge/pandas-profiling,2021-01-09 04:39:21.551000,96198.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n124,Datasets,huggingface/datasets,,data-loading,https://github.com/huggingface/datasets,https://github.com/huggingface/datasets,Apache-2.0,2020-03-26 09:23:22.000000,2021-01-12 21:48:02.000000,2021-01-12 18:51:31.000000,664.0,191.0,308.0,6449,1225.0,\"The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools.\",200.0,29,True,2021-01-04 18:38:01.000000,1.2.0,12.0,datasets,,,,,274.0,256.0,https://pypi.org/project/datasets,2021-01-04 18:33:23.000000,18.0,22579.0,22579.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n125,tensorpack,tensorpack/tensorpack,,ml-frameworks,https://github.com/tensorpack/tensorpack,https://github.com/tensorpack/tensorpack,Apache-2.0,2015-12-25 23:08:44.000000,2020-12-24 00:24:32.000000,2020-11-01 03:52:10.000000,1728.0,11.0,1293.0,5889,2921.0,\"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.\",55.0,29,True,2020-04-24 19:01:06.000000,0.10.1,36.0,tensorpack,,,,['tensorflow'],734.0,658.0,https://pypi.org/project/tensorpack,2020-04-24 19:01:06.000000,76.0,90963.0,90965.0,,,,,,,,2.0,96.0,,,,,,,,,,,,,,,,,,,\n126,Modin,modin-project/modin,,data-containers,https://github.com/modin-project/modin,https://github.com/modin-project/modin,Apache-2.0,2018-06-21 21:35:05.000000,2021-01-12 21:08:59.000000,2021-01-12 21:08:57.000000,377.0,399.0,1052.0,5605,1222.0,Modin: Speed up your Pandas workflows by changing a single line of code.,65.0,29,True,2021-01-12 14:40:18.000000,0.8.3,36.0,modin,,,,['pandas'],302.0,284.0,https://pypi.org/project/modin,2021-01-12 14:40:18.000000,18.0,72950.0,79453.0,,,,,,,,2.0,195092.0,,,,,,,,,,,,,,,,,,,\n127,Autograd,HIPS/autograd,,others,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23.000000,2020-12-28 18:04:28.000000,2019-11-18 14:32:40.000000,712.0,161.0,216.0,5083,1375.0,Efficiently computes derivatives of numpy code.,51.0,29,False,2017-08-24 17:00:41.000000,1.1.13,24.0,autograd,conda-forge/autograd,,,,1733.0,1389.0,https://pypi.org/project/autograd,2019-07-25 16:21:07.000000,344.0,383998.0,386841.0,https://anaconda.org/conda-forge/autograd,2019-07-25 18:29:55.493000,150718.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n128,Pydub,jiaaro/pydub,,audio,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38.000000,2021-01-12 05:00:19.000000,2020-12-14 17:09:24.000000,672.0,164.0,232.0,5033,722.0,Manipulate audio with a simple and easy high level interface.,79.0,29,True,2020-06-03 15:23:56.000000,0.24.1,66.0,pydub,conda-forge/pydub,,,,6942.0,5588.0,https://pypi.org/project/pydub,2020-06-03 15:23:56.000000,1354.0,119303.0,119787.0,https://anaconda.org/conda-forge/pydub,2019-02-02 16:23:09.348000,12108.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n129,UMAP,lmcinnes/umap,,data-viz,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17.000000,2021-01-11 21:28:26.000000,2021-01-11 21:11:07.000000,471.0,202.0,214.0,4392,1299.0,Uniform Manifold Approximation and Projection.,69.0,29,True,2021-01-11 21:28:26.000000,0.5.0,34.0,umap-learn,,,,,226.0,,https://pypi.org/project/umap-learn,2021-01-11 21:28:26.000000,226.0,130607.0,130607.0,,,,,,,,2.0,,1.0,,,,,,,,,,,,,,,,,,\n130,TinyDB,msiemens/tinydb,,data-containers,https://github.com/msiemens/tinydb,https://github.com/msiemens/tinydb,MIT,2013-07-12 23:31:13.000000,2021-01-04 09:54:25.000000,2021-01-04 09:54:20.000000,354.0,14.0,238.0,3939,603.0,TinyDB is a lightweight document oriented database optimized for your happiness :).,62.0,29,True,2020-11-14 21:02:31.000000,4.3.0,58.0,tinydb,conda-forge/tinydb,,,,1118.0,,https://pypi.org/project/tinydb,2020-11-14 21:02:29.000000,1118.0,131966.0,133761.0,https://anaconda.org/conda-forge/tinydb,2020-11-14 22:52:17.151000,98758.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n131,yfinance,ranaroussi/yfinance,,financial-data,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000000,2021-01-11 09:52:25.000000,2021-01-11 09:52:24.000000,992.0,299.0,169.0,3861,245.0,Yahoo! Finance market data downloader (+faster Pandas Datareader).,27.0,29,True,2020-10-05 12:19:44.000000,0.1.55,20.0,yfinance,ranaroussi/yfinance,,,,2624.0,2598.0,https://pypi.org/project/yfinance,2020-10-05 12:19:44.000000,26.0,104109.0,105880.0,https://anaconda.org/ranaroussi/yfinance,2019-12-27 21:30:44.606000,30117.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n132,kaggle,Kaggle/kaggle-api,,ml-experiments,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000000,2020-12-03 05:16:08.000000,2020-11-30 21:43:14.000000,760.0,161.0,106.0,3770,137.0,Official Kaggle API.,35.0,29,True,2020-11-30 13:37:18.000000,1.5.10,47.0,kaggle,conda-forge/kaggle,,,,4797.0,4233.0,https://pypi.org/project/kaggle,2020-11-30 13:37:18.000000,564.0,276716.0,278696.0,https://anaconda.org/conda-forge/kaggle,2020-11-30 16:56:31.822000,39601.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n133,sacred,IDSIA/sacred,,ml-experiments,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29.000000,2021-01-12 17:33:55.000000,2021-01-12 12:37:55.000000,314.0,92.0,395.0,3262,1300.0,\"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.\",91.0,29,True,2020-12-14 15:21:05.000000,0.8.2,27.0,sacred,,,,,920.0,766.0,https://pypi.org/project/sacred,2020-12-14 15:21:05.000000,154.0,10719.0,10719.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n134,Koalas,databricks/koalas,,data-containers,https://github.com/databricks/koalas,https://github.com/databricks/koalas,Apache-2.0,2019-01-03 21:46:54.000000,2021-01-12 22:25:51.000000,2021-01-12 18:45:07.000000,292.0,84.0,421.0,2573,1431.0,Koalas: pandas API on Apache Spark.,47.0,29,True,2020-12-11 21:10:40.000000,1.5.0,42.0,koalas,conda-forge/koalas,,,\"['spark', 'pandas']\",71.0,70.0,https://pypi.org/project/koalas,2020-12-11 21:10:40.000000,1.0,855306.0,859065.0,https://anaconda.org/conda-forge/koalas,2020-12-11 23:19:38.184000,74298.0,,,,,2.0,996.0,,,,,,,,,,,,,,,,,,,\n135,PyQtGraph,pyqtgraph/pyqtgraph,,data-viz,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21.000000,2021-01-12 17:29:31.000000,2021-01-06 22:54:33.000000,793.0,284.0,436.0,2260,2313.0,Fast data visualization and GUI tools for scientific / engineering applications.,179.0,29,True,2020-12-20 02:41:29.000000,pyqtgraph-0.11.1,12.0,pyqtgraph,conda-forge/pyqtgraph,,,,890.0,,https://pypi.org/project/pyqtgraph,2020-12-20 02:43:22.000000,890.0,27295.0,30576.0,https://anaconda.org/conda-forge/pyqtgraph,2020-12-20 05:06:42.442000,157523.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n136,hmmlearn,hmmlearn/hmmlearn,,probabilistics,https://github.com/hmmlearn/hmmlearn,https://github.com/hmmlearn/hmmlearn,BSD-3-Clause,2014-03-23 10:33:09.000000,2020-12-28 11:37:25.000000,2020-12-28 11:37:23.000000,603.0,64.0,276.0,2153,345.0,\"Hidden Markov Models in Python, with scikit-learn like API.\",31.0,29,True,2020-09-12 15:19:20.000000,0.2.4,6.0,hmmlearn,conda-forge/hmmlearn,,,['sklearn'],1047.0,841.0,https://pypi.org/project/hmmlearn,2020-09-12 15:19:20.000000,206.0,132633.0,134860.0,https://anaconda.org/conda-forge/hmmlearn,2020-11-01 16:03:30.138000,57910.0,,,,,1.0,,,,,,,,,True,,,,,,,,,,,\n137,ipyparallel,ipython/ipyparallel,,distributed-ml,https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,BSD-3-Clause,2015-04-09 07:43:55.000000,2020-12-28 21:43:25.000000,2020-08-24 09:09:27.000000,725.0,139.0,107.0,1850,1817.0,Interactive Parallel Computing in Python.,94.0,29,True,2020-05-05 18:42:38.000000,6.3.0,21.0,ipyparallel,conda-forge/ipyparallel,,,['jupyter'],1855.0,1365.0,https://pypi.org/project/ipyparallel,2020-05-05 18:42:38.000000,490.0,72221.0,78583.0,https://anaconda.org/conda-forge/ipyparallel,2020-12-14 23:13:00.768000,362674.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n138,pandas-datareader,pydata/pandas-datareader,,data-loading,https://github.com/pydata/pandas-datareader,https://github.com/pydata/pandas-datareader,BSD-3-Clause,2015-01-15 00:34:19.000000,2021-01-06 09:00:01.000000,2020-12-31 11:58:23.000000,489.0,70.0,370.0,1786,764.0,Extract data from a wide range of Internet sources into a pandas DataFrame.,77.0,29,True,2020-07-10 10:04:14.000000,0.9.0,21.0,pandas-datareader,conda-forge/pandas-datareader,,,['pandas'],8803.0,7397.0,https://pypi.org/project/pandas-datareader,2020-07-10 10:04:14.000000,1406.0,120503.0,122398.0,https://anaconda.org/conda-forge/pandas-datareader,2019-11-20 10:38:42.074000,85314.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n139,HoloViews,holoviz/holoviews,,data-viz,https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000000,2021-01-12 20:07:36.000000,2021-01-12 20:07:35.000000,299.0,674.0,1814.0,1778,10112.0,\"With Holoviews, your data visualizes itself.\",101.0,29,True,2020-12-27 23:53:28.000000,1.14.1,60.0,holoviews,conda-forge/holoviews,,,['jupyter'],170.0,,https://pypi.org/project/holoviews,2020-12-27 23:53:28.000000,170.0,85238.0,98052.0,https://anaconda.org/conda-forge/holoviews,2020-12-28 13:23:01.410000,398490.0,,,,,2.0,,,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,2020-05-24 13:49:54.205000,,5699.0,,,,,,,,,,,,\n140,Lifelines,CamDavidsonPilon/lifelines,,medical-data,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42.000000,2021-01-05 18:34:14.000000,2021-01-05 18:34:13.000000,411.0,188.0,586.0,1525,2073.0,Survival analysis in Python.,90.0,29,True,2020-12-09 21:14:01.000000,0.25.7,152.0,lifelines,conda-forge/lifelines,,,,602.0,476.0,https://pypi.org/project/lifelines,2020-12-09 21:14:01.000000,126.0,102488.0,104694.0,https://anaconda.org/conda-forge/lifelines,2020-12-10 02:47:14.864000,121382.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n141,Geocoder,DenisCarriere/geocoder,,geospatial-data,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21.000000,2020-12-30 04:09:42.000000,2018-10-12 15:53:05.000000,251.0,64.0,215.0,1320,1251.0,Python Geocoder.,74.0,29,False,2018-04-04 12:34:51.000000,1.38.1,108.0,geocoder,conda-forge/geocoder,,,,3515.0,2939.0,https://pypi.org/project/geocoder,2018-04-04 12:34:51.000000,576.0,239883.0,241716.0,https://anaconda.org/conda-forge/geocoder,2019-06-27 16:40:50.469000,86183.0,,,,,2.0,,,,,,,,,,,,,,geocoder,,,,,,\n142,torchaudio,pytorch/audio,,audio,https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000000,2021-01-12 20:15:52.000000,2021-01-12 19:06:37.000000,263.0,152.0,241.0,1194,658.0,\"Data manipulation and transformation for audio signal processing, powered by PyTorch.\",85.0,29,True,2020-12-10 17:02:20.000000,0.7.2,11.0,torchaudio,,,,['pytorch'],1139.0,1130.0,https://pypi.org/project/torchaudio,2020-10-27 16:14:57.000000,9.0,71977.0,71977.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n143,Keras-Preprocessing,keras-team/keras-preprocessing,,others,https://github.com/keras-team/keras-preprocessing,https://github.com/keras-team/keras-preprocessing,MIT,2018-05-30 22:43:36.000000,2020-12-11 00:22:48.000000,2020-12-11 00:22:47.000000,392.0,93.0,98.0,900,281.0,\"Utilities for working with image data, text data, and sequence data.\",48.0,29,True,2020-05-14 03:53:47.000000,1.1.2,12.0,keras-preprocessing,conda-forge/keras-preprocessing,,,['tensorflow'],2736.0,,https://pypi.org/project/keras-preprocessing,2020-05-14 03:53:47.000000,2736.0,3655291.0,3679798.0,https://anaconda.org/conda-forge/keras-preprocessing,2019-08-25 19:40:16.559000,759718.0,,,,,1.0,,,,,,,,,True,,,,,,,,,,,\n144,Graphviz,xflr6/graphviz,,data-viz,https://github.com/xflr6/graphviz,https://github.com/xflr6/graphviz,MIT,2014-01-12 17:49:29.000000,2021-01-05 23:44:43.000000,2021-01-05 23:22:54.000000,137.0,5.0,96.0,894,449.0,Simple Python interface for Graphviz.,15.0,29,True,2020-10-07 09:06:41.000000,0.14.2,47.0,graphviz,,,,,21104.0,16722.0,https://pypi.org/project/graphviz,2020-12-24 16:17:24.000000,4382.0,2437821.0,2437821.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n145,TensorFlow Transform,tensorflow/transform,,tensorflow-utils,https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53.000000,2021-01-08 12:05:31.000000,2021-01-08 12:05:25.000000,163.0,32.0,114.0,849,559.0,Input pipeline framework.,27.0,29,True,2020-12-16 21:35:23.000000,0.26.0,33.0,tensorflow-transform,,,,['tensorflow'],473.0,389.0,https://pypi.org/project/tensorflow-transform,2020-12-16 21:35:23.000000,84.0,7283976.0,7283976.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n146,snakemake,snakemake/snakemake,,ml-experiments,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867000,2021-01-12 19:47:53.000000,2021-01-12 19:47:51.000000,181.0,312.0,202.0,805,3940.0,\"This is the development home of the workflow management system Snakemake. For general information, see.\",194.0,29,True,2020-12-21 22:01:57.000000,5.31.1,158.0,snakemake,bioconda/snakemake,,,,1009.0,721.0,https://pypi.org/project/snakemake,2020-12-21 22:02:41.000000,288.0,9267.0,13504.0,https://anaconda.org/bioconda/snakemake,2020-12-22 11:10:44.475000,266951.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n147,pyproj,pyproj4/pyproj,,geospatial-data,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000000,2021-01-08 01:17:08.000000,2021-01-08 01:15:13.000000,146.0,6.0,374.0,564,1099.0,Python interface to PROJ (cartographic projections and coordinate transformations library).,39.0,29,True,2020-11-05 13:39:29.000000,3.0.0.post1,34.0,pyproj,conda-forge/pyproj,,,,10570.0,8108.0,https://pypi.org/project/pyproj,2020-11-05 14:28:45.000000,2462.0,1084065.0,1114532.0,https://anaconda.org/conda-forge/pyproj,2020-11-06 22:55:31.654000,1858535.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n148,NIPYPE,nipy/nipype,,medical-data,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000000,2021-01-11 05:49:22.000000,2020-12-08 17:16:40.000000,439.0,312.0,873.0,542,14049.0,Workflows and interfaces for neuroimaging packages.,212.0,29,True,2020-09-17 18:44:32.000000,1.5.1,54.0,nipype,conda-forge/nipype,,,,676.0,484.0,https://pypi.org/project/nipype,2020-08-16 18:30:16.000000,192.0,11261.0,17681.0,https://anaconda.org/conda-forge/nipype,2020-11-28 17:44:51.813000,346689.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n149,snowballstemmer,snowballstem/snowball,,nlp,https://github.com/snowballstem/snowball,https://github.com/snowballstem/snowball,BSD-3-Clause,2013-02-23 07:17:42.000000,2020-12-20 04:48:33.000000,2020-11-23 06:15:03.000000,127.0,19.0,42.0,465,802.0,Snowball compiler and stemming algorithms.,24.0,29,True,2019-10-03 08:03:11.000000,2.0.0,8.0,snowballstemmer,conda-forge/snowballstemmer,,,,55453.0,42271.0,https://pypi.org/project/snowballstemmer,2019-10-03 08:03:11.000000,13182.0,2290013.0,2326541.0,https://anaconda.org/conda-forge/snowballstemmer,2019-10-03 09:44:39.068000,1936004.0,,,,,2.0,,,,,,,,,True,,,,,,,,,,,\n150,NiBabel,nipy/nibabel,,medical-data,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30.000000,2021-01-12 22:51:11.000000,2021-01-05 12:43:30.000000,209.0,109.0,282.0,380,4934.0,Python package to access a cacophony of neuro-imaging file formats.,89.0,29,True,2020-11-28 22:19:50.000000,3.2.1,32.0,nibabel,conda-forge/nibabel,,,,4719.0,3455.0,https://pypi.org/project/nibabel,2020-11-28 22:18:23.000000,1264.0,45988.0,51160.0,https://anaconda.org/conda-forge/nibabel,2020-11-29 03:40:05.178000,289646.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n151,baselines,openai/baselines,,reinforcement-learning,https://github.com/openai/baselines,https://github.com/openai/baselines,MIT,2017-05-24 01:58:13.000000,2021-01-02 22:20:03.000000,2020-01-31 13:06:18.000000,3811.0,450.0,422.0,11000,347.0,OpenAI Baselines: high-quality implementations of reinforcement learning algorithms.,114.0,28,True,2018-02-26 17:07:07.000000,0.1.5,6.0,baselines,,,,,310.0,273.0,https://pypi.org/project/baselines,2018-02-26 17:07:07.000000,37.0,28329.0,28329.0,,,,,,,,1.0,,,,,,,,,True,,,,,,,,,,,\n152,PyTorch Geometric,rusty1s/pytorch_geometric,,graph,https://github.com/rusty1s/pytorch_geometric,https://github.com/rusty1s/pytorch_geometric,MIT,2017-10-06 16:03:03.000000,2021-01-12 14:29:29.000000,2021-01-12 14:29:28.000000,1677.0,662.0,1070.0,9924,4065.0,Geometric Deep Learning Extension Library for PyTorch.,137.0,28,True,2020-12-02 14:57:09.000000,1.6.3,25.0,torch-geometric,,,,['pytorch'],24.0,,https://pypi.org/project/torch-geometric,2020-11-27 07:18:41.000000,24.0,11570.0,11570.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n153,Sonnet,deepmind/sonnet,,ml-frameworks,https://github.com/deepmind/sonnet,https://github.com/deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35.000000,2020-11-30 02:35:15.000000,2020-10-08 10:01:11.000000,1242.0,15.0,135.0,8704,545.0,TensorFlow-based neural network library.,48.0,28,True,2020-03-27 10:36:19.000000,2.0.0,27.0,dm-sonnet,conda-forge/sonnet,,,['tensorflow'],558.0,476.0,https://pypi.org/project/dm-sonnet,2020-03-27 10:36:10.000000,82.0,59196.0,59687.0,https://anaconda.org/conda-forge/sonnet,2020-11-14 18:13:23.843000,6876.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n154,Albumentations,albumentations-team/albumentations,,image,https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000000,2021-01-03 07:22:35.000000,2020-12-30 16:36:51.000000,899.0,170.0,231.0,7037,614.0,Fast image augmentation library and easy to use wrapper around other libraries. Documentation:..,72.0,28,True,2020-11-29 14:30:07.000000,0.5.2,44.0,albumentations,conda-forge/albumentations,,,['pytorch'],2605.0,2477.0,https://pypi.org/project/albumentations,2020-11-29 14:30:07.000000,128.0,58333.0,59062.0,https://anaconda.org/conda-forge/albumentations,2020-11-29 15:51:47.610000,13857.0,,,,,2.0,,-1.0,,,,,,,,,,,,,,,,,,\n155,featuretools,alteryx/featuretools,,hyperopt,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17.000000,2021-01-12 23:04:15.000000,2021-01-12 22:37:29.000000,686.0,111.0,389.0,5325,569.0,An open source python library for automated feature engineering.,49.0,28,True,2020-12-31 21:26:39.000000,0.23.0,63.0,featuretools,conda-forge/featuretools,,,,719.0,649.0,https://pypi.org/project/featuretools,2020-12-31 21:27:46.000000,70.0,64458.0,66179.0,https://anaconda.org/conda-forge/featuretools,2021-01-05 23:32:34.667000,43041.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n156,GluonCV,dmlc/gluon-cv,,image,https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21.000000,2021-01-12 11:13:12.000000,2021-01-09 17:30:25.000000,1028.0,369.0,372.0,4465,825.0,Gluon CV Toolkit.,108.0,28,True,2021-01-05 00:33:13.000000,0.9.1,960.0,gluoncv,,,,['mxnet'],425.0,395.0,https://pypi.org/project/gluoncv,2021-01-09 09:01:48.000000,30.0,66905.0,66905.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n157,DEAP,deap/deap,,distributed-ml,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39.000000,2020-12-25 17:33:19.000000,2020-12-25 17:33:18.000000,831.0,166.0,218.0,4031,2147.0,Distributed Evolutionary Algorithms in Python.,67.0,28,False,2020-01-21 01:18:06.000000,1.3.1,16.0,deap,conda-forge/deap,,,,2011.0,1529.0,https://pypi.org/project/deap,2020-01-21 01:18:06.000000,482.0,106934.0,108887.0,https://anaconda.org/conda-forge/deap,2020-10-12 23:58:35.330000,107418.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n158,PyOD,yzhao062/pyod,,others,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04.000000,2021-01-12 18:42:49.000000,2021-01-12 18:33:37.000000,824.0,100.0,81.0,4025,1245.0,A Python Toolbox for Scalable Outlier Detection (Anomaly Detection).,22.0,28,True,2021-01-12 18:35:00.000000,V0.8.6,64.0,pyod,,,,,458.0,452.0,https://pypi.org/project/pyod,2021-01-12 18:42:49.000000,6.0,80962.0,80962.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n159,Kornia,kornia/kornia,,image,https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000000,2021-01-12 15:39:03.000000,2021-01-12 14:31:05.000000,345.0,103.0,238.0,3501,1474.0,Open Source Differentiable Computer Vision Library for PyTorch.,81.0,28,True,2020-10-20 19:31:49.000000,0.4.1,12.0,kornia,,,,['pytorch'],226.0,226.0,https://pypi.org/project/kornia,2020-10-20 19:31:49.000000,0.0,14399.0,14399.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n160,Kedro,quantumblacklabs/kedro,,data-pipelines,https://github.com/quantumblacklabs/kedro,https://github.com/quantumblacklabs/kedro,Apache-2.0,2019-04-18 10:29:56.000000,2021-01-12 16:37:44.000000,2021-01-11 17:34:23.000000,385.0,87.0,341.0,3289,1111.0,\"A Python framework for creating reproducible, maintainable and modular data science code.\",93.0,28,True,2020-12-17 13:31:56.000000,0.17.0,24.0,kedro,,,,,370.0,354.0,https://pypi.org/project/kedro,2020-12-17 13:31:56.000000,16.0,50661.0,50661.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n161,Blaze,blaze/blaze,,data-containers,https://github.com/blaze/blaze,https://github.com/blaze/blaze,BSD-3-Clause,2012-10-26 14:25:22.000000,2020-02-01 19:33:09.000000,2019-08-15 21:14:59.000000,373.0,262.0,500.0,2920,7496.0,NumPy and Pandas interface to Big Data.,64.0,28,False,2016-07-19 20:40:03.000000,0.11.0,14.0,blaze,conda-forge/blaze,,,,7879.0,7391.0,https://pypi.org/project/blaze,2016-05-06 21:19:21.000000,488.0,10311.0,14886.0,https://anaconda.org/conda-forge/blaze,2018-07-15 22:16:17.685000,187586.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n162,Dedupe,dedupeio/dedupe,,nlp,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36.000000,2020-12-24 19:43:22.000000,2020-11-09 02:38:13.000000,402.0,52.0,569.0,2863,2792.0,\"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.\",55.0,28,True,2020-09-02 00:17:19.000000,2.0.6,157.0,dedupe,,,,,253.0,175.0,https://pypi.org/project/dedupe,2020-09-06 01:50:45.000000,78.0,48920.0,48920.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n163,PyCaret,pycaret/pycaret,,ml-experiments,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000000,2021-01-12 21:46:51.000000,2021-01-12 21:46:44.000000,590.0,159.0,530.0,2833,1568.0,\"An open-source, low-code machine learning library in Python.\",42.0,28,True,2020-12-22 22:10:30.000000,2.2.3,68.0,pycaret,,,,,590.0,590.0,https://pypi.org/project/pycaret,2020-12-22 22:10:30.000000,0.0,24389.0,24446.0,,,,,,,,2.0,347.0,,,,,,,,,,,,,,,,,,,\n164,phonenumbers,daviddrysdale/python-phonenumbers,,nlp,https://github.com/daviddrysdale/python-phonenumbers,https://github.com/daviddrysdale/python-phonenumbers,Apache-2.0,2011-04-21 03:06:38.000000,2021-01-12 14:52:18.000000,2021-01-12 14:46:13.000000,324.0,3.0,110.0,2602,,Python port of Google's libphonenumber.,22.0,28,True,2020-12-16 08:06:19.000000,8.12.16,167.0,phonenumbers,conda-forge/phonenumbers,,,,2280.0,,https://pypi.org/project/phonenumbers,2021-01-12 14:52:18.000000,2280.0,707167.0,713858.0,https://anaconda.org/conda-forge/phonenumbers,2019-08-04 21:19:59.322000,368016.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n165,VisPy,vispy/vispy,,data-viz,https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22.000000,2020-12-22 03:47:57.000000,2020-11-28 02:03:40.000000,535.0,354.0,780.0,2556,6394.0,High-performance interactive 2D/3D data visualization library.,144.0,28,True,2020-12-14 15:55:00.000000,0.6.6,16.0,vispy,conda-forge/vispy,,,['jupyter'],563.0,441.0,https://pypi.org/project/vispy,2020-11-28 02:55:50.000000,122.0,13043.0,16189.0,https://anaconda.org/conda-forge/vispy,2020-11-28 13:05:36.454000,117632.0,,,,,2.0,,,,vispy,https://www.npmjs.com/package/vispy,2020-03-15 14:39:41.516000,,130.0,,,,,,,,,,,,\n166,plotnine,has2k1/plotnine,,data-viz,https://github.com/has2k1/plotnine,https://github.com/has2k1/plotnine,GPL-2.0,2017-04-24 19:00:44.000000,2021-01-06 14:26:24.000000,2021-01-06 10:16:20.000000,128.0,53.0,346.0,2492,1673.0,A grammar of graphics for Python.,81.0,28,False,2020-08-05 20:10:30.000000,0.7.1,10.0,plotnine,conda-forge/plotnine,,,,1565.0,1438.0,https://pypi.org/project/plotnine,2020-08-05 18:55:16.000000,127.0,91637.0,93605.0,https://anaconda.org/conda-forge/plotnine,2020-08-06 19:52:38.810000,86604.0,,,,,2.0,,,,,,,,,True,,,,,,,,,,,\n167,datashader,holoviz/datashader,,data-viz,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000000,2021-01-08 10:17:48.622000,2021-01-07 14:34:16.000000,311.0,144.0,315.0,2394,1281.0,Quickly and accurately render even the largest data.,43.0,28,True,2021-01-07 16:14:43.000000,0.12.0,22.0,datashader,conda-forge/datashader,,,,621.0,551.0,https://pypi.org/project/datashader,2021-01-07 16:14:43.000000,70.0,11176.0,14621.0,https://anaconda.org/conda-forge/datashader,2021-01-08 10:17:48.622000,130941.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n168,dbt,fishtown-analytics/dbt,,data-pipelines,https://github.com/fishtown-analytics/dbt,https://github.com/fishtown-analytics/dbt,Apache-2.0,2016-03-10 02:38:00.000000,2021-01-12 18:08:11.000000,2021-01-12 12:59:55.000000,470.0,261.0,1428.0,2343,2481.0,dbt (data build tool) enables data analysts and engineers to transform their data using the same practices that..,129.0,28,True,2020-10-13 21:51:53.000000,0.18.1,140.0,dbt,conda-forge/dbt,,,,184.0,166.0,https://pypi.org/project/dbt,2020-12-29 23:08:04.000000,18.0,95199.0,98156.0,https://anaconda.org/conda-forge/dbt,2020-05-14 13:55:32.153000,147878.0,,,,,2.0,,,,,,,,,,,dbt,,,,,,,,,\n169,sklearn-pandas,scikit-learn-contrib/sklearn-pandas,,data-containers,https://github.com/scikit-learn-contrib/sklearn-pandas,https://github.com/scikit-learn-contrib/sklearn-pandas,Zlib,2013-04-22 22:55:20.000000,2021-01-06 16:30:51.000000,2021-01-06 16:28:10.000000,387.0,30.0,117.0,2308,269.0,Pandas integration with sklearn.,35.0,28,False,2021-01-06 16:30:51.000000,2.0.4,24.0,sklearn-pandas,,,,\"['sklearn', 'pandas']\",1852.0,1630.0,https://pypi.org/project/sklearn-pandas,2020-11-07 02:30:27.000000,222.0,111618.0,111618.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n170,eli5,TeamHG-Memex/eli5,,interpretability,https://github.com/TeamHG-Memex/eli5,https://github.com/TeamHG-Memex/eli5,MIT,2016-09-15 01:04:57.000000,2021-01-12 14:47:25.000000,2020-01-22 07:39:36.000000,283.0,126.0,110.0,2267,1198.0,A library for debugging/inspecting machine learning classifiers and explaining their predictions.,14.0,28,True,2019-08-29 06:19:32.000000,0.10.1,27.0,eli5,conda-forge/eli5,,,,925.0,829.0,https://pypi.org/project/eli5,2019-08-29 06:19:32.000000,96.0,248937.0,250877.0,https://anaconda.org/conda-forge/eli5,2020-06-15 13:11:13.408000,85381.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n171,NMSLIB,nmslib/nmslib,,nn-search,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06.000000,2021-01-10 13:21:54.000000,2021-01-08 16:53:47.000000,334.0,46.0,310.0,2250,1482.0,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,44.0,28,True,2021-01-08 12:37:37.000000,2.0.16,29.0,nmslib,conda-forge/nmslib,,,,358.0,306.0,https://pypi.org/project/nmslib,2021-01-08 12:37:37.000000,52.0,50271.0,51355.0,https://anaconda.org/conda-forge/nmslib,2021-01-08 16:19:07.762000,9761.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n172,GPyTorch,cornellius-gp/gpytorch,,probabilistics,https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000000,2021-01-08 11:03:38.000000,2021-01-06 21:41:50.000000,308.0,196.0,621.0,2247,3205.0,A highly efficient and modular implementation of Gaussian Processes in PyTorch.,63.0,28,True,2020-11-30 21:36:11.000000,1.3.0,24.0,gpytorch,,,,['pytorch'],196.0,188.0,https://pypi.org/project/gpytorch,2020-11-30 21:38:19.000000,8.0,31457.0,31457.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n173,implicit,benfred/implicit,,recommender-systems,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000000,2020-11-24 06:44:37.378000,2020-11-15 19:47:23.000000,452.0,77.0,255.0,2221,300.0,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,28.0,28,True,2020-09-15 22:01:38.000000,0.4.4,34.0,implicit,conda-forge/implicit,,,,361.0,339.0,https://pypi.org/project/implicit,2020-09-15 22:01:38.000000,22.0,95073.0,100029.0,https://anaconda.org/conda-forge/implicit,2020-11-24 06:44:37.378000,178451.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n174,Keras Tuner,keras-team/keras-tuner,,hyperopt,https://github.com/keras-team/keras-tuner,https://github.com/keras-team/keras-tuner,Apache-2.0,2019-06-06 22:38:21.000000,2020-12-23 19:28:06.000000,2020-12-09 20:19:05.000000,257.0,145.0,133.0,2204,787.0,Hyperparameter tuning for humans.,28.0,28,True,2020-11-20 19:13:23.000000,1.0.2,5.0,keras-tuner,,,,['tensorflow'],354.0,352.0,https://pypi.org/project/keras-tuner,2020-11-20 19:00:59.000000,2.0,322618.0,322618.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n175,AzureML SDK,Azure/MachineLearningNotebooks,,ml-experiments,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000000,2021-01-11 19:52:49.000000,2021-01-11 19:52:48.000000,1534.0,67.0,846.0,2072,1083.0,Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft.,52.0,28,True,2020-12-07 18:38:50.000000,1.20.0,66.0,azureml-sdk,,,,,60.0,,https://pypi.org/project/azureml-sdk,2021-01-11 18:12:53.000000,60.0,282881.0,282895.0,,,,,,,,2.0,387.0,,,,,,,,,,,,,,,,,,,\n176,ImageHash,JohannesBuchner/imagehash,,image,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48.000000,2021-01-03 14:55:33.000000,2021-01-03 14:55:15.000000,246.0,17.0,70.0,1806,184.0,A Python Perceptual Image Hashing Module.,17.0,28,True,2020-11-19 14:54:24.000000,4.2.0,17.0,ImageHash,conda-forge/imagehash,,,,2368.0,1836.0,https://pypi.org/project/ImageHash,2020-11-19 14:54:24.000000,532.0,345110.0,347047.0,https://anaconda.org/conda-forge/imagehash,2020-11-19 18:20:49.964000,96861.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n177,pyLDAvis,bmabey/pyLDAvis,,interpretability,https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03.000000,2020-12-03 09:31:49.000000,2020-12-02 18:10:12.000000,287.0,91.0,56.0,1380,218.0,Python library for interactive topic model visualization. Port of the R LDAvis package.,31.0,28,True,2018-06-05 18:55:56.000000,2.1.2,17.0,pyldavis,conda-forge/pyldavis,,,['jupyter'],1780.0,1681.0,https://pypi.org/project/pyldavis,2018-06-05 18:55:56.000000,99.0,62376.0,63045.0,https://anaconda.org/conda-forge/pyldavis,2018-06-22 21:16:15.741000,20739.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n178,Flax,google/flax,,ml-frameworks,https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000000,2021-01-12 22:52:18.000000,2021-01-12 15:58:56.000000,152.0,114.0,107.0,1367,1435.0,Flax is a neural network ecosystem for JAX that is designed for flexibility.,69.0,28,True,2020-12-08 15:13:37.000000,0.3.0,9.0,flax,,,,['jax'],86.0,83.0,https://pypi.org/project/flax,2020-12-08 15:14:03.000000,3.0,67325.0,67327.0,,,,,,,,3.0,20.0,,,,,,,,,,,,,,,,,,,\n179,PyTables,PyTables/PyTables,,data-containers,https://github.com/PyTables/PyTables,https://github.com/PyTables/PyTables,BSD-3-Clause,2011-06-03 19:44:46.000000,2021-01-10 18:15:37.000000,2021-01-10 15:27:11.000000,180.0,153.0,440.0,1000,3909.0,A Python package to manage extremely large amounts of data.,96.0,28,True,2019-10-30 19:33:37.000000,3.6.1,25.0,tables,conda-forge/pytables,,,,3754.0,,https://pypi.org/project/tables,2019-10-30 19:33:37.000000,3754.0,377612.0,417682.0,https://anaconda.org/conda-forge/pytables,2021-01-09 06:38:20.765000,2123609.0,,,,,2.0,125.0,,,,,,,,,,,,,,,,,,,\n180,Bottleneck,pydata/bottleneck,,data-containers,https://github.com/pydata/bottleneck,https://github.com/pydata/bottleneck,BSD-2-Clause,2010-11-27 23:21:22.000000,2021-01-06 15:18:05.000000,2020-11-25 00:09:25.000000,62.0,23.0,177.0,567,1226.0,Fast NumPy array functions written in C.,20.0,28,True,2020-02-21 06:22:16.000000,1.3.2,21.0,Bottleneck,conda-forge/bottleneck,,,,20944.0,18052.0,https://pypi.org/project/Bottleneck,2020-02-21 06:22:16.000000,2892.0,203936.0,228355.0,https://anaconda.org/conda-forge/bottleneck,2020-10-12 10:23:18.707000,1367495.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n181,inflect,jaraco/inflect,,nlp,https://github.com/jaraco/inflect,https://github.com/jaraco/inflect,MIT,2010-06-20 13:43:13.000000,2021-01-08 13:09:35.481000,2020-11-15 19:27:28.000000,57.0,13.0,58.0,467,590.0,\"Correctly generate plurals, ordinals, indefinite articles; convert numbers to words.\",25.0,28,True,2020-11-15 17:41:03.000000,5.0.2,30.0,inflect,conda-forge/inflect,,,,1388.0,,https://pypi.org/project/inflect,2020-11-15 17:40:58.000000,1388.0,890027.0,892769.0,https://anaconda.org/conda-forge/inflect,2021-01-08 13:09:35.481000,123419.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n182,DIPY,dipy/dipy,,medical-data,https://github.com/dipy/dipy,https://github.com/dipy/dipy,BSD-3-Clause,2010-02-06 11:43:08.000000,2020-12-17 18:09:13.000000,2020-12-10 16:48:07.000000,313.0,156.0,572.0,377,11365.0,\"DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal..\",118.0,28,True,2020-11-05 17:35:53.000000,1.3.0,21.0,dipy,conda-forge/dipy,,,,412.0,318.0,https://pypi.org/project/dipy,2020-11-05 17:35:53.000000,94.0,6610.0,9691.0,https://anaconda.org/conda-forge/dipy,2020-11-14 18:28:50.683000,172582.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n183,Cython BLIS,explosion/cython-blis,,others,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16.000000,2020-12-07 11:23:01.451000,2020-12-07 07:21:11.000000,22.0,6.0,15.0,157,524.0,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,9.0,28,True,2020-12-07 08:56:44.000000,0.7.4,35.0,blis,conda-forge/cython-blis,,,,8138.0,7748.0,https://pypi.org/project/blis,2020-12-07 08:56:44.000000,390.0,789396.0,806878.0,https://anaconda.org/conda-forge/cython-blis,2020-12-07 11:23:01.451000,384618.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n184,CNTK,microsoft/CNTK,,ml-frameworks,https://github.com/microsoft/CNTK,https://github.com/microsoft/CNTK,MIT,2015-11-26 09:52:06.000000,2020-12-09 22:21:57.000000,2020-03-31 15:55:14.000000,4408.0,830.0,2514.0,16957,16116.0,\"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.\",265.0,27,True,2019-04-26 14:13:32.000000,2.7,32.0,cntk,,,,,17.0,,https://pypi.org/project/cntk,2020-12-09 22:21:57.000000,17.0,1103.0,1329.0,,,,,,,,3.0,13584.0,,,,,,,,,,,,,,,,,,,\n185,EasyOCR,JaidedAI/EasyOCR,,ocr,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000000,2021-01-07 10:08:19.000000,2021-01-05 13:45:05.000000,941.0,82.0,156.0,9895,366.0,\"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..\",73.0,27,True,2021-01-05 13:59:10.000000,1.2.2,15.0,easyocr,,,,,101.0,101.0,https://pypi.org/project/easyocr,2021-01-05 13:59:10.000000,0.0,9953.0,22815.0,,,,,,,,2.0,90037.0,,,,,,,,,,,,,,,,,,,\n186,Dopamine,google/dopamine,,reinforcement-learning,https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36.000000,2021-01-05 04:01:12.000000,2020-11-24 20:59:42.000000,1225.0,72.0,69.0,9264,210.0,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,13.0,27,True,2020-10-16 22:05:03.000000,3.1.8,34.0,dopamine-rl,,,,['tensorflow'],31.0,,https://pypi.org/project/dopamine-rl,2020-10-16 22:05:03.000000,31.0,72991.0,72991.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n187,NNI,microsoft/nni,,hyperopt,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44.000000,2021-01-12 22:45:20.000000,2021-01-05 03:25:14.000000,1131.0,231.0,857.0,8669,1846.0,\"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..\",111.0,27,True,2020-10-22 13:31:52.000000,1.9,36.0,nni,,,,,94.0,78.0,https://pypi.org/project/nni,2021-01-08 14:47:42.000000,16.0,1745.0,1745.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n188,AutoKeras,keras-team/autokeras,,hyperopt,https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20.000000,2021-01-04 07:29:18.000000,2021-01-04 07:29:16.000000,1241.0,59.0,659.0,7688,1232.0,AutoML library for deep learning.,126.0,27,True,2020-11-30 02:43:50.000000,1.0.12,46.0,autokeras,,,,['tensorflow'],148.0,141.0,https://pypi.org/project/autokeras,2020-11-30 02:43:50.000000,7.0,5742.0,5742.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n189,pretrainedmodels,Cadene/pretrained-models.pytorch,,pytorch-utils,https://github.com/Cadene/pretrained-models.pytorch,https://github.com/Cadene/pretrained-models.pytorch,BSD-3-Clause,2017-04-09 15:54:23.000000,2020-06-08 16:06:59.000000,2020-04-16 08:02:22.000000,1606.0,85.0,87.0,7606,154.0,\"Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.\",22.0,27,True,2018-10-29 08:18:45.000000,0.7.4,16.0,pretrainedmodels,,,,['pytorch'],915.0,811.0,https://pypi.org/project/pretrainedmodels,2018-10-29 08:18:45.000000,104.0,27020.0,27020.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n190,tensorboardX,lanpa/tensorboardX,,ml-experiments,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19.000000,2020-10-14 17:46:25.000000,2020-07-05 17:29:00.000000,771.0,72.0,341.0,6753,460.0,\"tensorboard for pytorch (and chainer, mxnet, numpy, ...).\",64.0,27,True,2020-07-05 17:54:10.000000,2.0,12.0,tensorboardX,conda-forge/tensorboardx,,,,11023.0,9689.0,https://pypi.org/project/tensorboardX,2019-12-31 14:04:21.000000,1334.0,294682.0,301767.0,https://anaconda.org/conda-forge/tensorboardx,2020-07-06 20:33:55.729000,254878.0,,,,,2.0,289.0,,,,,,,,,,,,,,,,,,,\n191,Pyro,pyro-ppl/pyro,,probabilistics,https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000000,2021-01-12 22:08:10.000000,2021-01-12 21:42:06.000000,777.0,130.0,676.0,6673,2138.0,Deep universal probabilistic programming with Python and PyTorch.,103.0,27,True,2020-11-17 23:30:42.000000,1.5.1,24.0,pyro-ppl,,,,['pytorch'],394.0,358.0,https://pypi.org/project/pyro-ppl,2020-11-17 23:22:46.000000,36.0,6881.0,6881.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n192,PyTorch Image Models,rwightman/pytorch-image-models,,image,https://github.com/rwightman/pytorch-image-models,https://github.com/rwightman/pytorch-image-models,Apache-2.0,2019-02-02 05:51:12.000000,2021-01-08 21:14:40.000000,2021-01-06 05:25:40.000000,907.0,21.0,208.0,6519,648.0,\"PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2,..\",26.0,27,True,2021-01-08 19:51:18.000000,0.3.4,14.0,,,,,['pytorch'],241.0,241.0,,,,,8716.0,,,,,,,,2.0,174320.0,,,,,,,,,,,,,,,,,,,\n193,dgl,dmlc/dgl,,graph,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000000,2021-01-12 23:13:50.000000,2021-01-12 19:33:38.000000,1289.0,222.0,675.0,6487,1484.0,\"Python package built to ease deep learning on graph, on top of existing DL frameworks.\",98.0,27,True,2020-11-30 07:39:12.000000,0.5.3,346.0,dgl,,,,,30.0,,https://pypi.org/project/dgl,2021-01-12 08:42:41.000000,30.0,12819.0,12819.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n194,TensorLayer,tensorlayer/tensorlayer,,reinforcement-learning,https://github.com/tensorlayer/tensorlayer,https://github.com/tensorlayer/tensorlayer,Apache-2.0,2016-06-07 15:55:16.000000,2021-01-06 07:16:21.000000,2021-01-06 02:15:37.000000,1444.0,48.0,433.0,6451,3309.0,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,128.0,27,True,2021-01-06 07:16:21.000000,2.2.4,82.0,tensorlayer,,,,['tensorflow'],68.0,,https://pypi.org/project/tensorlayer,2020-06-19 00:53:37.000000,68.0,2315.0,2338.0,,,,,,,,2.0,1200.0,,,,,,,,,,,,,,,,,,,\n195,imageai,OlafenwaMoses/ImageAI,,image,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33.000000,2021-01-05 01:31:44.000000,2021-01-05 01:31:12.000000,1601.0,184.0,404.0,5756,290.0,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,13.0,27,True,2021-01-05 01:26:01.000000,2.1.6,10.0,imageai,,,,,659.0,647.0,https://pypi.org/project/imageai,2021-01-05 01:26:01.000000,12.0,5550.0,21368.0,,,,,,,,2.0,522004.0,,,,,,,,,,,,,,,,,,,\n196,tsfresh,blue-yonder/tsfresh,,time-series-data,https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17.000000,2021-01-12 16:57:21.000000,2021-01-12 16:57:20.000000,837.0,33.0,393.0,5285,398.0,Automatic extraction of relevant features from time series:.,71.0,27,True,2020-09-09 21:08:22.000000,0.17.0,26.0,tsfresh,conda-forge/tsfresh,,,['sklearn'],66.0,,https://pypi.org/project/tsfresh,2020-09-09 21:08:22.000000,66.0,169747.0,170426.0,https://anaconda.org/conda-forge/tsfresh,2020-09-10 08:48:19.773000,25803.0,,,,,1.0,,1.0,,,,,,,,,,,,,,,,,,\n197,faust,robinhood/faust,,data-pipelines,https://github.com/robinhood/faust,https://github.com/robinhood/faust,BSD-3-Clause,2017-03-08 18:36:11.000000,2021-01-12 17:30:09.000000,2020-10-09 12:59:42.000000,424.0,225.0,219.0,5206,4137.0,Python Stream Processing.,91.0,27,True,2020-02-25 22:57:18.000000,1.10.4,46.0,faust,,,,,611.0,583.0,https://pypi.org/project/faust,2020-02-25 22:57:18.000000,28.0,55258.0,55258.0,,,,,,,,2.0,,-1.0,,,,,,,,,,,,,,,,,,\n198,OpenNMT,OpenNMT/OpenNMT-py,,nlp,https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000000,2021-01-11 16:36:46.000000,2021-01-11 16:15:51.000000,1742.0,94.0,1122.0,4752,2538.0,Open Source Neural Machine Translation in PyTorch.,165.0,27,True,2020-11-10 18:09:08.000000,2.0.0rc2,26.0,OpenNMT-py,,,,['pytorch'],69.0,65.0,https://pypi.org/project/OpenNMT-py,2020-11-10 18:10:02.000000,4.0,3554.0,3554.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n199,csvkit,wireservice/csvkit,,data-loading,https://github.com/wireservice/csvkit,https://github.com/wireservice/csvkit,MIT,2011-04-01 03:00:30.000000,2020-10-30 01:59:33.000000,2020-10-30 01:59:29.000000,535.0,56.0,743.0,4447,1693.0,\"A suite of utilities for converting to and working with CSV, the king of tabular file formats.\",91.0,27,True,2020-03-03 03:00:28.000000,1.0.5,33.0,csvkit,conda-forge/csvkit,,,,1501.0,799.0,https://pypi.org/project/csvkit,2020-03-03 03:00:28.000000,702.0,25673.0,26647.0,https://anaconda.org/conda-forge/csvkit,2019-05-28 12:30:50.171000,44847.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n200,snorkel,snorkel-team/snorkel,,data-loading,https://github.com/snorkel-team/snorkel,https://github.com/snorkel-team/snorkel,Apache-2.0,2016-02-26 05:52:45.000000,2020-10-02 14:30:46.000000,2020-09-05 21:24:32.000000,711.0,29.0,911.0,4397,2646.0,A system for quickly generating training data with weak supervision.,62.0,27,True,2020-08-09 03:07:36.000000,0.9.6,17.0,snorkel,conda-forge/snorkel,,,,67.0,63.0,https://pypi.org/project/snorkel,2020-04-07 01:35:21.000000,4.0,67783.0,68629.0,https://anaconda.org/conda-forge/snorkel,2020-04-10 13:08:54.445000,15048.0,,,,,3.0,487.0,,,,,,,,,,,,,,,,,,,\n201,Tokenizers,huggingface/tokenizers,,nlp,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000000,2021-01-12 21:48:00.000000,2021-01-12 21:47:56.000000,304.0,80.0,288.0,4156,1427.0,Fast State-of-the-Art Tokenizers optimized for Research and Production.,40.0,27,True,2021-01-12 21:36:19.000000,python-v0.10.0,57.0,tokenizers,conda-forge/tokenizers,,,,22.0,22.0,https://pypi.org/project/tokenizers,2020-12-08 18:59:15.000000,0.0,874970.0,877833.0,https://anaconda.org/conda-forge/tokenizers,2020-11-19 06:02:47.112000,17181.0,,,,,2.0,,-1.0,,,,,,,,,,,,,,,,,,\n202,skorch,skorch-dev/skorch,,ml-frameworks,https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000000,2020-12-29 14:55:37.000000,2020-12-25 23:01:18.000000,271.0,48.0,317.0,3719,935.0,A scikit-learn compatible neural network library that wraps PyTorch.,39.0,27,True,2020-08-30 10:46:40.000000,0.9.0,12.0,skorch,conda-forge/skorch,,,\"['pytorch', 'sklearn']\",265.0,252.0,https://pypi.org/project/skorch,2020-08-30 10:43:37.000000,13.0,6186.0,11953.0,https://anaconda.org/conda-forge/skorch,2020-09-19 04:12:07.576000,161481.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n203,OCRmyPDF,jbarlow83/OCRmyPDF,,ocr,https://github.com/jbarlow83/OCRmyPDF,https://github.com/jbarlow83/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000000,2021-01-10 01:28:23.000000,2021-01-10 00:48:40.000000,421.0,84.0,558.0,3668,2823.0,\"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.\",49.0,27,True,2021-01-10 01:28:23.000000,11.5.0,158.0,ocrmypdf,,,,,117.0,105.0,https://pypi.org/project/ocrmypdf,2021-01-10 01:28:23.000000,12.0,14077.0,14077.0,,,,,,,,2.0,,,,,,,,,,,ocrmypdf,ocrmypdf,,,,,,,,\n204,imutils,jrosebr1/imutils,,image,https://github.com/jrosebr1/imutils,https://github.com/jrosebr1/imutils,MIT,2015-01-11 20:05:39.000000,2021-01-09 01:22:26.000000,2019-08-18 11:50:57.000000,855.0,123.0,75.0,3470,137.0,\"A series of convenience functions to make basic image processing operations such as translation, rotation, resizing,..\",19.0,27,False,2019-08-18 11:56:06.000000,0.5.3,28.0,imutils,conda-forge/imutils,,,,12643.0,11447.0,https://pypi.org/project/imutils,2019-08-18 11:56:06.000000,1196.0,161195.0,162978.0,https://anaconda.org/conda-forge/imutils,2020-11-01 14:10:29.531000,33877.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n205,lightfm,lyst/lightfm,,recommender-systems,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00.000000,2020-12-07 16:07:27.944000,2020-11-27 19:54:37.000000,561.0,127.0,274.0,3451,404.0,\"A Python implementation of LightFM, a hybrid recommendation algorithm.\",42.0,27,True,2020-11-27 19:48:30.000000,1.16,14.0,lightfm,conda-forge/lightfm,,,,404.0,376.0,https://pypi.org/project/lightfm,2020-11-27 19:55:08.000000,28.0,92351.0,94339.0,https://anaconda.org/conda-forge/lightfm,2020-12-07 16:07:27.944000,71579.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n206,InterpretML,interpretml/interpret,,interpretability,https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000000,2021-01-12 22:08:53.000000,2021-01-12 22:08:46.000000,416.0,50.0,119.0,3378,1403.0,Fit interpretable models. Explain blackbox machine learning.,22.0,27,True,2020-10-20 01:41:37.000000,0.2.2,32.0,interpret,,,,['jupyter'],61.0,59.0,https://pypi.org/project/interpret,2020-10-20 01:35:45.000000,2.0,11098.0,11098.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n207,Ignite,pytorch/ignite,,ml-frameworks,https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000000,2021-01-12 00:55:00.000000,2021-01-11 11:20:42.000000,403.0,98.0,587.0,3208,848.0,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,118.0,27,True,2020-09-20 20:00:28.000000,0.4.2,435.0,pytorch-ignite,pytorch/ignite,,,['pytorch'],756.0,694.0,https://pypi.org/project/pytorch-ignite,2021-01-12 00:55:00.000000,62.0,30932.0,32587.0,https://anaconda.org/pytorch/ignite,2020-09-20 20:00:11.134000,51315.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n208,dyNET,clab/dynet,,ml-frameworks,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21.000000,2020-10-22 07:16:17.000000,2020-10-22 07:16:12.000000,692.0,255.0,660.0,3165,3260.0,DyNet: The Dynamic Neural Network Toolkit.,155.0,27,True,2020-10-21 14:31:01.000000,2.1.2,24.0,dyNET,,,,,202.0,164.0,https://pypi.org/project/dyNET,2020-10-21 14:31:01.000000,38.0,4770.0,4796.0,,,,,,,,3.0,1349.0,,,,,,,,,,,,,,,,,,,\n209,Alpha Vantage,RomelTorres/alpha_vantage,,financial-data,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00.000000,2020-12-21 19:51:59.000000,2020-12-21 19:51:57.000000,542.0,17.0,197.0,2995,497.0,A python wrapper for Alpha Vantage API for financial data.,36.0,27,True,2020-12-21 02:37:29.000000,2.3.1,28.0,alpha_vantage,,,,,202.0,,https://pypi.org/project/alpha_vantage,2018-08-26 18:55:11.000000,202.0,22640.0,22640.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n210,missingno,ResidentMario/missingno,,data-viz,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50.000000,2020-12-28 16:13:39.000000,2020-12-28 16:13:38.000000,331.0,15.0,87.0,2598,170.0,Missing data visualization module for Python.,15.0,27,True,2019-07-09 16:03:51.000000,0.4.2,21.0,missingno,conda-forge/missingno,,,,2710.0,2634.0,https://pypi.org/project/missingno,2018-06-29 16:25:00.000000,76.0,172092.0,173706.0,https://anaconda.org/conda-forge/missingno,2020-02-15 10:07:41.253000,67796.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n211,GluonNLP,dmlc/gluon-nlp,,nlp,https://github.com/dmlc/gluon-nlp,https://github.com/dmlc/gluon-nlp,Apache-2.0,2018-04-04 20:57:13.000000,2021-01-12 15:43:22.000000,2021-01-12 15:43:21.000000,490.0,227.0,283.0,2209,797.0,\"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..\",78.0,27,True,2020-08-13 19:16:27.000000,0.10.0,25.0,gluonnlp,,,,['mxnet'],380.0,369.0,https://pypi.org/project/gluonnlp,2020-08-13 01:28:51.000000,11.0,32325.0,32325.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n212,hdbscan,scikit-learn-contrib/hdbscan,,others,https://github.com/scikit-learn-contrib/hdbscan,https://github.com/scikit-learn-contrib/hdbscan,BSD-3-Clause,2015-04-22 13:32:37.000000,2021-01-06 20:53:54.000000,2021-01-06 20:53:54.000000,334.0,213.0,142.0,1786,867.0,A high performance implementation of HDBSCAN clustering.,64.0,27,True,2020-03-19 19:19:04.000000,0.8.26,42.0,hdbscan,conda-forge/hdbscan,,,['sklearn'],825.0,701.0,https://pypi.org/project/hdbscan,2020-03-19 19:19:04.000000,124.0,116005.0,125382.0,https://anaconda.org/conda-forge/hdbscan,2020-11-02 02:54:21.050000,506384.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n213,TF-Agents,tensorflow/agents,,reinforcement-learning,https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000000,2021-01-12 16:37:17.000000,2021-01-12 16:36:18.000000,446.0,101.0,302.0,1754,1584.0,TF-Agents is a library for Reinforcement Learning in TensorFlow.,84.0,27,True,2021-01-05 18:41:58.000000,0.7.1,18.0,tf-agents,,,,['tensorflow'],355.0,343.0,https://pypi.org/project/tf-agents,2021-01-05 18:41:58.000000,12.0,7682.0,7682.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n214,ta,bukosabino/ta,,financial-data,https://github.com/bukosabino/ta,https://github.com/bukosabino/ta,MIT,2018-01-02 18:08:48.000000,2021-01-11 12:10:38.000000,2020-11-29 21:08:14.000000,443.0,60.0,82.0,1718,582.0,Technical Analysis Library using Pandas and Numpy.,23.0,27,True,2020-11-17 08:01:47.000000,0.7.0,49.0,ta,,,,,401.0,395.0,https://pypi.org/project/ta,2020-11-29 10:49:09.000000,6.0,28986.0,28986.0,,,,,,,,1.0,,,,,,,,,True,,,,,,,,,,,\n215,filterpy,rlabbe/filterpy,,probabilistics,https://github.com/rlabbe/filterpy,https://github.com/rlabbe/filterpy,MIT,2014-07-15 02:15:19.000000,2021-01-05 02:45:44.000000,2021-01-04 03:55:54.000000,401.0,21.0,146.0,1633,528.0,\"Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman..\",33.0,27,True,2018-10-10 22:38:24.000000,1.4.5,48.0,filterpy,conda-forge/filterpy,,,,888.0,676.0,https://pypi.org/project/filterpy,2018-10-10 22:38:24.000000,212.0,14624.0,15917.0,https://anaconda.org/conda-forge/filterpy,2020-05-05 21:13:59.073000,55604.0,,,,,2.0,,,,,,,,,True,,,,,,,,,,,\n216,textacy,chartbeat-labs/textacy,,nlp,https://github.com/chartbeat-labs/textacy,https://github.com/chartbeat-labs/textacy,Apache-2.0,2016-02-03 16:52:45.000000,2021-01-10 22:37:28.000000,2021-01-09 19:21:48.000000,211.0,30.0,194.0,1588,1332.0,\"NLP, before and after spaCy.\",29.0,27,True,2020-08-29 20:51:05.000000,0.10.1,29.0,textacy,conda-forge/textacy,,,,77.0,,https://pypi.org/project/textacy,2020-08-29 20:51:28.000000,77.0,20348.0,22019.0,https://anaconda.org/conda-forge/textacy,2020-11-19 15:32:56.211000,73526.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n217,tslearn,tslearn-team/tslearn,,time-series-data,https://github.com/tslearn-team/tslearn,https://github.com/tslearn-team/tslearn,BSD-2-Clause,2017-05-04 13:08:13.000000,2021-01-12 20:18:46.000000,2021-01-08 10:47:51.000000,215.0,51.0,164.0,1442,1558.0,A machine learning toolkit dedicated to time-series data.,28.0,27,True,2020-06-18 15:54:49.000000,0.4.1,90.0,tslearn,conda-forge/tslearn,,,['sklearn'],187.0,176.0,https://pypi.org/project/tslearn,2020-06-18 16:13:01.000000,11.0,66644.0,71884.0,https://anaconda.org/conda-forge/tslearn,2020-06-19 05:46:30.651000,178193.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n218,datasketch,ekzhu/datasketch,,data-containers,https://github.com/ekzhu/datasketch,https://github.com/ekzhu/datasketch,MIT,2015-03-20 01:21:46.000000,2020-12-23 21:01:58.000000,2020-12-23 21:00:36.000000,198.0,19.0,90.0,1411,193.0,\"MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble.\",16.0,27,True,2020-12-15 20:59:57.000000,1.5.2,74.0,datasketch,,,,,329.0,243.0,https://pypi.org/project/datasketch,2020-12-15 20:59:57.000000,86.0,194283.0,194283.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,,\n219,Cartopy,mapbox/rasterio,,geospatial-data,https://github.com/mapbox/rasterio,https://github.com/mapbox/rasterio,LGPL-3.0,2013-11-04 16:36:27.000000,2021-01-12 19:45:24.000000,2021-01-12 19:44:37.000000,387.0,135.0,1191.0,1408,3250.0,Rasterio reads and writes geospatial raster datasets.,110.0,27,False,2018-11-17 07:43:32.000000,0.17.0,18.0,Cartopy,conda-forge/cartopy,,,,2749.0,2576.0,https://pypi.org/project/Cartopy,2020-04-27 04:57:38.000000,173.0,11305.0,33750.0,https://anaconda.org/conda-forge/cartopy,2020-12-21 22:49:27.196000,1301287.0,,,,,2.0,702.0,,,,,,,,,,,,,,,,,,,\n220,GPflow,GPflow/GPflow,,probabilistics,https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000000,2021-01-12 17:00:56.000000,2021-01-12 12:31:17.000000,389.0,86.0,600.0,1360,2203.0,Gaussian processes in TensorFlow.,68.0,27,True,2020-12-01 12:59:03.000000,2.1.4,28.0,gpflow,conda-forge/gpflow,,,['tensorflow'],225.0,208.0,https://pypi.org/project/gpflow,2020-12-01 13:12:15.000000,17.0,2272.0,2521.0,https://anaconda.org/conda-forge/gpflow,2018-11-06 08:51:39.744000,7968.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n221,ipyleaflet,jupyter-widgets/ipyleaflet,,geospatial-data,https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10.000000,2021-01-05 17:07:58.132000,2021-01-05 16:33:18.000000,278.0,130.0,247.0,1071,903.0,A Jupyter - Leaflet.js bridge.,63.0,27,True,2021-01-05 16:38:38.000000,0.13.6,70.0,ipyleaflet,conda-forge/ipyleaflet,,,['jupyter'],759.0,659.0,https://pypi.org/project/ipyleaflet,2021-01-05 16:38:38.000000,98.0,13112.0,150030.0,https://anaconda.org/conda-forge/ipyleaflet,2021-01-05 17:07:58.132000,575325.0,,,,,2.0,,,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2021-01-05 16:30:30.235000,2.0,126645.0,,,,,,,,,,,,\n222,PyCUDA,inducer/pycuda,,gpu-utilities,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000000,2021-01-04 20:15:46.000000,2021-01-04 20:12:30.000000,214.0,40.0,122.0,1069,1449.0,\"CUDA integration for Python, plus shiny features.\",68.0,27,True,2019-08-12 04:15:37.000000,2019.1.2,46.0,pycuda,,,,,996.0,704.0,https://pypi.org/project/pycuda,2020-10-07 21:59:52.000000,292.0,13847.0,13847.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n223,Model Analysis,tensorflow/model-analysis,,interpretability,https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000000,2021-01-11 23:58:28.000000,2021-01-11 23:58:22.000000,203.0,22.0,32.0,1027,877.0,Model analysis tools for TensorFlow.,33.0,27,True,2020-12-16 20:56:20.000000,0.26.0,33.0,tensorflow-model-analysis,,,,\"['tensorflow', 'jupyter']\",10.0,,https://pypi.org/project/tensorflow-model-analysis,2020-12-16 20:56:20.000000,10.0,6482845.0,6482845.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n224,arviz,arviz-devs/arviz,,interpretability,https://github.com/arviz-devs/arviz,https://github.com/arviz-devs/arviz,Apache-2.0,2015-07-29 11:51:10.000000,2021-01-12 02:18:14.000000,2021-01-10 23:33:35.000000,168.0,110.0,411.0,931,1093.0,Exploratory analysis of Bayesian models with Python.,62.0,27,True,2020-09-23 23:29:43.000000,0.10.0,20.0,arviz,conda-forge/arviz,,,,681.0,663.0,https://pypi.org/project/arviz,2020-09-23 23:29:43.000000,18.0,112360.0,120583.0,https://anaconda.org/conda-forge/arviz,2020-09-24 01:04:48.763000,164415.0,,,,,1.0,98.0,,,,,,,,True,,,,,,,,,,,\n225,PyStan,stan-dev/pystan,,probabilistics,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,GPL-3.0,2013-05-24 01:21:21.000000,2020-11-21 11:22:51.000000,2020-11-21 11:22:43.000000,192.0,66.0,425.0,910,867.0,\"PyStan, the Python interface to Stan.\",54.0,27,False,2020-10-16 20:20:46.000000,2.19.1.1-codes,54.0,pystan,conda-forge/pystan,,,,2748.0,2406.0,https://pypi.org/project/pystan,2020-11-19 14:21:16.000000,342.0,724039.0,742256.0,https://anaconda.org/conda-forge/pystan,2020-08-25 22:40:14.631000,837975.0,,,,,2.0,89.0,,,,,,,,,,,,,,,,,,,\n226,petl,petl-developers/petl,,data-pipelines,https://github.com/petl-developers/petl,https://github.com/petl-developers/petl,MIT,2011-08-19 09:51:03.000000,2021-01-07 23:50:55.000000,2020-12-29 03:45:19.000000,149.0,66.0,342.0,812,1119.0,Python Extract Transform and Load Tables of Data.,43.0,27,True,2020-12-29 02:39:53.000000,1.7.1,74.0,petl,conda-forge/petl,,http://petl.readthedocs.org,,422.0,308.0,https://pypi.org/project/petl,2020-10-06 00:03:28.000000,114.0,12967.0,13335.0,https://anaconda.org/conda-forge/petl,2020-12-29 04:11:54.349000,19138.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n227,pyopencl,inducer/pyopencl,,others,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,MIT,2011-04-06 02:51:33.000000,2021-01-08 22:36:57.000000,2021-01-04 18:47:30.000000,200.0,50.0,206.0,763,2803.0,\"OpenCL integration for Python, plus shiny features.\",82.0,27,True,2020-09-11 21:50:46.000000,2020.3.1,54.0,pyopencl,conda-forge/pyopencl,,,,682.0,444.0,https://pypi.org/project/pyopencl,2020-11-20 05:22:46.000000,238.0,4961.0,10804.0,https://anaconda.org/conda-forge/pyopencl,2020-11-20 05:04:27.429000,297993.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n228,igraph,igraph/python-igraph,,graph,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16.000000,2021-01-10 09:08:57.000000,2021-01-02 10:30:26.000000,180.0,23.0,255.0,758,1503.0,Python interface for igraph.,48.0,27,False,2020-10-08 14:50:52.000000,0.8.3,18.0,python-igraph,conda-forge/igraph,,,,1806.0,1382.0,https://pypi.org/project/python-igraph,2020-04-28 17:45:27.000000,424.0,49847.0,54548.0,https://anaconda.org/conda-forge/igraph,2021-01-05 11:05:57.682000,192191.0,,,,,1.0,34238.0,,,,,,,,,,,,,,,,,,,\n229,patsy,pydata/patsy,,probabilistics,https://github.com/pydata/patsy,https://github.com/pydata/patsy,BSD-2-Clause,2012-07-10 12:30:06.000000,2020-09-09 13:00:29.000000,2018-10-31 21:55:48.000000,85.0,78.0,51.0,731,517.0,Describing statistical models in Python using symbolic formulas.,13.0,27,False,2018-10-28 05:07:55.000000,0.5.1,8.0,patsy,conda-forge/patsy,,,,33527.0,28603.0,https://pypi.org/project/patsy,2018-10-28 03:59:51.000000,4924.0,1394816.0,1440739.0,https://anaconda.org/conda-forge/patsy,2018-10-28 05:21:35.412000,2433970.0,,,,,2.0,,,,,,,,,True,,,,,,,,,,,\n230,geojson,jazzband/geojson,,geospatial-data,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48.000000,2020-11-25 21:55:02.000000,2020-11-25 19:10:27.000000,78.0,18.0,50.0,589,445.0,Python bindings and utilities for GeoJSON.,44.0,27,True,2019-08-09 20:32:15.000000,2.5.0,28.0,geojson,conda-forge/geojson,,,,7146.0,5542.0,https://pypi.org/project/geojson,2019-08-09 20:32:15.000000,1604.0,407079.0,413244.0,https://anaconda.org/conda-forge/geojson,2019-08-11 12:10:34.426000,357616.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n231,data-validation,tensorflow/data-validation,,data-viz,https://github.com/tensorflow/data-validation,https://github.com/tensorflow/data-validation,Apache-2.0,2018-07-02 15:47:02.000000,2021-01-11 19:34:02.000000,2021-01-11 19:33:56.000000,94.0,37.0,72.0,501,552.0,Library for exploring and validating machine learning data.,20.0,27,True,2020-12-17 00:43:02.000000,0.26.0,23.0,tensorflow-data-validation,,,,\"['tensorflow', 'jupyter']\",232.0,214.0,https://pypi.org/project/tensorflow-data-validation,2020-12-17 00:43:02.000000,18.0,6656334.0,6656340.0,,,,,,,,2.0,186.0,,,,,,,,True,,,,,,,,,,,\n232,audioread,beetbox/audioread,,audio,https://github.com/beetbox/audioread,https://github.com/beetbox/audioread,MIT,2011-11-08 19:53:18.000000,2020-12-08 20:08:37.201000,2020-10-20 11:22:05.000000,83.0,31.0,44.0,355,232.0,cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python.,20.0,27,True,2020-10-20 11:23:09.000000,2.1.9,25.0,audioread,conda-forge/audioread,,,,4491.0,3905.0,https://pypi.org/project/audioread,2020-10-20 11:23:09.000000,586.0,283289.0,286820.0,https://anaconda.org/conda-forge/audioread,2020-12-08 20:08:37.201000,190685.0,,,,,2.0,,,,,,,,,True,,,,,,,,,,,\n233,detectron2,facebookresearch/detectron2,,image,https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000000,2021-01-12 22:36:24.000000,2021-01-12 22:36:15.000000,3643.0,89.0,2086.0,14476,907.0,Detectron2 is FAIR's next-generation platform for object detection and segmentation.,139.0,26,True,2020-11-06 03:20:56.000000,0.3,7.0,,conda-forge/detectron2,,,['pytorch'],146.0,146.0,,,,,1505.0,https://anaconda.org/conda-forge/detectron2,2020-08-05 13:27:52.058000,12042.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n234,Streamlit,streamlit/streamlit,,others,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000000,2021-01-12 21:32:44.000000,2021-01-12 20:23:46.000000,1046.0,536.0,932.0,12532,,Streamlit The fastest way to build data apps in Python.,83.0,26,True,2021-01-07 22:00:44.000000,0.74.1,122.0,streamlit,,,,,82.0,48.0,https://pypi.org/project/streamlit,2021-01-07 22:01:03.000000,34.0,108803.0,108803.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n235,InsightFace,deepinsight/insightface,,image,https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,MIT,2017-09-01 00:36:51.000000,2021-01-12 08:17:54.000000,2021-01-12 08:17:25.000000,2905.0,701.0,644.0,8372,1470.0,Face Analysis Project on MXNet.,14.0,26,True,2019-09-07 13:47:11.000000,0.1.5,6.0,insightface,,,,['mxnet'],50.0,49.0,https://pypi.org/project/insightface,2019-09-07 13:47:11.000000,1.0,4873.0,4873.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n236,Ludwig,ludwig-ai/ludwig,,ml-frameworks,https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000000,2021-01-09 18:46:52.000000,2020-12-30 20:52:24.000000,882.0,110.0,406.0,7427,2046.0,Ludwig is a toolbox that allows to train and evaluate deep learning models without the need to write code.,86.0,26,True,2020-12-29 03:18:52.000000,0.3.2,15.0,ludwig,,,,['tensorflow'],86.0,74.0,https://pypi.org/project/ludwig,2020-11-16 23:58:45.000000,12.0,1206.0,1206.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n237,PySyft,OpenMined/PySyft,,privacy-ml,https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,MIT,2017-07-18 20:41:16.000000,2021-01-12 21:38:08.000000,2021-01-08 07:10:10.000000,1538.0,175.0,2449.0,6742,6515.0,A library for answering questions using data you cannot see.,332.0,26,True,2020-11-12 19:57:33.000000,0.3.0,48.0,syft,,,,['pytorch'],3.0,,https://pypi.org/project/syft,2020-09-14 15:03:40.000000,3.0,1566.0,1566.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n238,carla,carla-simulator/carla,,others,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000000,2021-01-12 18:49:33.000000,2020-12-22 22:54:58.000000,1542.0,272.0,2635.0,5451,4756.0,Open-source simulator for autonomous driving research.,122.0,26,True,2020-12-23 07:08:35.000000,0.9.11,22.0,carla,,,,,55.0,53.0,https://pypi.org/project/carla,2019-04-28 17:45:24.000000,2.0,521.0,521.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n239,backtrader,mementum/backtrader,,financial-data,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52.000000,2021-01-05 08:44:48.000000,2020-07-03 12:52:48.000000,1726.0,18.0,,5385,2381.0,Python Backtesting library for trading strategies.,50.0,26,False,,,155.0,backtrader,,,,,489.0,419.0,https://pypi.org/project/backtrader,2020-07-03 13:02:14.000000,70.0,20525.0,20525.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n240,auto-sklearn,automl/auto-sklearn,,hyperopt,https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10.000000,2021-01-12 18:01:12.000000,2021-01-04 13:37:04.000000,968.0,122.0,553.0,5141,2402.0,Automated Machine Learning with scikit-learn.,63.0,26,True,2021-01-04 14:13:00.000000,0.12.1,26.0,auto-sklearn,,,,['sklearn'],157.0,127.0,https://pypi.org/project/auto-sklearn,2021-01-04 14:13:00.000000,30.0,6744.0,6744.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n241,DeepPavlov,deepmipt/DeepPavlov,,nlp,https://github.com/deepmipt/DeepPavlov,https://github.com/deepmipt/DeepPavlov,Apache-2.0,2017-11-17 14:35:29.000000,2021-01-12 19:13:53.000000,2020-12-24 16:30:15.000000,884.0,75.0,445.0,4935,2579.0,An open source library for deep learning end-to-end dialog systems and chatbots.,61.0,26,True,2020-12-24 16:35:56.000000,0.14.0,41.0,deeppavlov,,,,['tensorflow'],170.0,166.0,https://pypi.org/project/deeppavlov,2020-12-24 16:33:49.000000,4.0,4563.0,4563.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n242,keras-rl,keras-rl/keras-rl,,reinforcement-learning,https://github.com/keras-rl/keras-rl,https://github.com/keras-rl/keras-rl,MIT,2016-07-02 15:53:12.000000,2020-11-20 07:32:13.000000,2019-11-11 22:14:54.000000,1284.0,39.0,211.0,4917,308.0,Deep Reinforcement Learning for Keras.,40.0,26,False,2018-06-01 07:52:24.000000,0.4.2,8.0,keras-rl,,,,['tensorflow'],492.0,441.0,https://pypi.org/project/keras-rl,2018-06-01 07:52:24.000000,51.0,1619.0,1619.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n243,Bayesian Optimization,fmfn/BayesianOptimization,,hyperopt,https://github.com/fmfn/BayesianOptimization,https://github.com/fmfn/BayesianOptimization,MIT,2014-06-06 08:18:56.000000,2020-12-24 10:51:12.000000,2020-12-19 01:11:23.000000,1035.0,42.0,164.0,4781,199.0,A Python implementation of global optimization with gaussian processes.,27.0,26,True,2020-05-16 16:03:51.000000,1.2.0,8.0,bayesian-optimization,,,,,655.0,563.0,https://pypi.org/project/bayesian-optimization,2020-05-16 15:56:09.000000,92.0,49470.0,49471.0,,,,,,,,2.0,46.0,,,,,,,,,,,,,,,,,,,\n244,scikit-surprise,NicolasHug/Surprise,,recommender-systems,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38.000000,2020-10-13 01:22:58.850000,2020-08-05 17:45:59.000000,814.0,35.0,285.0,4620,622.0,A Python scikit for building and analyzing recommender systems.,38.0,26,True,2020-07-19 14:50:48.000000,1.1.1,9.0,scikit-surprise,conda-forge/scikit-surprise,,,,881.0,857.0,https://pypi.org/project/scikit-surprise,2020-07-19 14:50:48.000000,24.0,39338.0,43536.0,https://anaconda.org/conda-forge/scikit-surprise,2020-10-13 01:22:58.850000,151162.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n245,Datasette,simonw/datasette,,others,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000000,2021-01-12 22:26:40.000000,2021-01-12 22:26:19.000000,241.0,209.0,735.0,4517,1551.0,An open source multi-tool for exploring and publishing data.,42.0,26,True,2020-12-11 01:46:44.000000,0.53,87.0,datasette,,,,,404.0,334.0,https://pypi.org/project/datasette,2020-12-11 01:53:37.000000,70.0,5347.0,5347.0,,,,,,,,2.0,24.0,,,,,,,,,,datasette,,,,,,,,,\n246,PDFMiner,euske/pdfminer,,data-loading,https://github.com/euske/pdfminer,https://github.com/euske/pdfminer,MIT,2010-12-12 12:50:22.000000,2020-06-23 18:16:10.000000,2020-01-18 07:00:32.000000,1024.0,222.0,39.0,4472,540.0,Python PDF Parser (Not actively maintained). Check out pdfminer.six.,28.0,26,True,,,24.0,pdfminer,conda-forge/pdfminer,,,,3439.0,1973.0,https://pypi.org/project/pdfminer,2019-11-25 12:02:21.000000,1466.0,171368.0,171620.0,https://anaconda.org/conda-forge/pdfminer,2019-11-03 18:50:06.843000,13373.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n247,librosa,librosa/librosa,,audio,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000000,2020-10-19 21:24:48.000000,2020-09-11 13:58:44.000000,675.0,54.0,778.0,4206,,Python library for audio and music analysis.,80.0,26,True,2020-07-22 01:34:55.000000,0.8.0,28.0,librosa,conda-forge/librosa,,,,10576.0,8826.0,https://pypi.org/project/librosa,2020-07-22 01:34:55.000000,1750.0,304539.0,308989.0,https://anaconda.org/conda-forge/librosa,2020-07-22 10:27:18.402000,240335.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n248,Metaflow,Netflix/metaflow,,ml-experiments,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000000,2021-01-12 07:08:35.000000,2021-01-11 21:13:46.000000,310.0,107.0,139.0,3976,180.0,Build and manage real-life data science projects with ease.,28.0,26,True,2020-11-11 10:43:10.000000,2.2.5,14.0,metaflow,conda-forge/metaflow,,,,100.0,99.0,https://pypi.org/project/metaflow,2020-10-29 00:11:07.000000,1.0,38357.0,39123.0,https://anaconda.org/conda-forge/metaflow,2020-11-12 08:15:24.353000,9959.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n249,mlpack,mlpack/mlpack,,ml-frameworks,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59.000000,2021-01-12 22:38:46.000000,2021-01-12 13:58:25.000000,1286.0,156.0,1182.0,3522,25778.0,mlpack: a scalable C++ machine learning library --.,262.0,26,True,2020-10-28 18:28:47.000000,3.4.2,40.0,mlpack,conda-forge/mlpack,,,,,,https://pypi.org/project/mlpack,2020-10-28 18:28:47.000000,,236.0,2309.0,https://anaconda.org/conda-forge/mlpack,2020-10-29 09:35:18.918000,62199.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n250,sktime,alan-turing-institute/sktime,,time-series-data,https://github.com/alan-turing-institute/sktime,https://github.com/alan-turing-institute/sktime,BSD-3-Clause,2018-11-06 15:08:24.000000,2021-01-12 18:02:45.000000,2021-01-12 16:45:16.000000,408.0,98.0,218.0,3428,1635.0,A unified framework for machine learning with time series.,71.0,26,True,2020-12-29 22:15:58.000000,0.5.1,11.0,sktime,,,,['sklearn'],90.0,90.0,https://pypi.org/project/sktime,2020-12-29 22:15:58.000000,0.0,7181.0,7183.0,,,,,,,,2.0,41.0,,,,,,,,,,,,,,,,,,,\n251,Perspective,finos/perspective,,data-viz,https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000000,2021-01-12 23:17:46.000000,2021-01-08 07:01:19.000000,338.0,73.0,295.0,3109,4284.0,Streaming pivot visualization via WebAssembly.,61.0,26,True,2021-01-08 07:02:49.503000,0.6.0,38.0,perspective-python,,,,['jupyter'],167.0,163.0,https://pypi.org/project/perspective-python,2020-10-15 13:18:28.000000,4.0,463.0,1403.0,,,,,,,,3.0,,,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2021-01-08 07:02:49.503000,,940.0,,,,,,,,,,,,\n252,textract,deanmalmgren/textract,,data-loading,https://github.com/deanmalmgren/textract,https://github.com/deanmalmgren/textract,MIT,2014-07-03 20:36:59.000000,2021-01-04 14:04:16.000000,2019-11-14 08:37:39.000000,424.0,84.0,121.0,2933,556.0,extract text from any document. no muss. no fuss.,30.0,26,False,2019-08-26 15:05:53.000000,1.6.3,15.0,textract,conda-forge/textract,,,,192.0,,https://pypi.org/project/textract,2019-08-26 15:05:53.000000,192.0,18737.0,18934.0,https://anaconda.org/conda-forge/textract,2017-03-20 21:15:33.254000,10268.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n253,AutoGluon,awslabs/autogluon,,hyperopt,https://github.com/awslabs/autogluon,https://github.com/awslabs/autogluon,Apache-2.0,2019-07-29 18:51:24.000000,2021-01-12 22:16:15.000000,2021-01-12 22:01:39.000000,377.0,150.0,217.0,2905,464.0,\"AutoGluon: AutoML for Text, Image, and Tabular Data.\",50.0,26,True,2020-12-08 19:01:22.000000,0.0.15,294.0,autogluon,,,,['mxnet'],44.0,44.0,https://pypi.org/project/autogluon,2021-01-12 09:36:52.000000,0.0,20020.0,20020.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n254,pomegranate,jmschrei/pomegranate,,probabilistics,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000000,2021-01-12 17:45:04.000000,2021-01-09 22:21:18.000000,460.0,31.0,538.0,2563,870.0,\"Fast, flexible and easy to use probabilistic modelling in Python.\",61.0,26,True,2020-07-12 21:28:17.000000,0.14.0,61.0,pomegranate,conda-forge/pomegranate,,,,432.0,376.0,https://pypi.org/project/pomegranate,2021-01-09 22:24:27.000000,56.0,21539.0,23870.0,https://anaconda.org/conda-forge/pomegranate,2020-11-01 16:22:04.857000,41965.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n255,Dagster,dagster-io/dagster,,data-pipelines,https://github.com/dagster-io/dagster,https://github.com/dagster-io/dagster,Apache-2.0,2018-04-30 16:30:04.000000,2021-01-12 23:39:46.000000,2021-01-12 23:39:42.000000,258.0,599.0,1789.0,2515,6307.0,\"A data orchestrator for machine learning, analytics, and ETL.\",110.0,26,True,2020-12-11 04:26:56.000000,0.9.22.post0,224.0,dagster,conda-forge/dagster,,,,133.0,129.0,https://pypi.org/project/dagster,2020-12-11 04:26:29.000000,4.0,25624.0,34450.0,https://anaconda.org/conda-forge/dagster,2020-12-04 14:42:14.711000,123575.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n256,Catalyst,catalyst-team/catalyst,,ml-experiments,https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13.000000,2021-01-11 22:12:25.000000,2021-01-04 08:02:07.000000,268.0,18.0,258.0,2381,1467.0,Accelerated deep learning R&D.,80.0,26,True,2020-12-20 10:12:32.000000,20.12,86.0,catalyst,,,,['pytorch'],301.0,263.0,https://pypi.org/project/catalyst,2020-12-20 10:06:58.000000,38.0,6715.0,6715.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n257,pygal,Kozea/pygal,,graph,https://github.com/Kozea/pygal,https://github.com/Kozea/pygal,LGPL-3.0,2011-09-23 10:17:50.000000,2020-12-24 20:11:00.000000,2020-10-14 16:41:45.000000,380.0,164.0,240.0,2303,1012.0,PYthon svg GrAph plotting Library.,69.0,26,False,2017-07-05 09:22:41.000000,2.4.0,74.0,pygal,conda-forge/pygal,,,,1152.0,,https://pypi.org/project/pygal,2020-10-14 13:06:35.000000,1152.0,57233.0,57530.0,https://anaconda.org/conda-forge/pygal,2019-06-04 02:55:56.728000,5646.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n258,gpustat,wookayin/gpustat,,gpu-utilities,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43.000000,2021-01-02 06:06:24.000000,2020-05-19 04:45:47.000000,183.0,20.0,46.0,2174,165.0,A simple command-line utility for querying and monitoring GPU status.,10.0,26,True,2019-07-22 06:37:00.000000,0.6.0,11.0,gpustat,conda-forge/gpustat,,,,615.0,557.0,https://pypi.org/project/gpustat,2021-01-02 05:59:41.000000,58.0,126245.0,126590.0,https://anaconda.org/conda-forge/gpustat,2020-11-24 19:59:04.772000,7610.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n259,Core ML Tools,apple/coremltools,,model-serialisation,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000000,2021-01-08 09:22:12.000000,2021-01-08 03:08:31.000000,319.0,300.0,305.0,2074,851.0,\"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.\",107.0,26,True,2020-10-10 18:21:00.000000,4.0,27.0,coremltools,,,,,576.0,443.0,https://pypi.org/project/coremltools,2020-10-10 18:16:12.000000,133.0,40319.0,40376.0,,,,,,,,1.0,2308.0,,,,,,,,,,,,,,,,,,,\n260,Captum,pytorch/captum,,interpretability,https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000000,2021-01-12 20:31:22.000000,2021-01-06 02:07:01.000000,194.0,44.0,131.0,2053,778.0,Model interpretability and understanding for PyTorch.,66.0,26,True,2020-11-13 23:52:08.000000,0.3.0,4.0,captum,,,,['pytorch'],102.0,102.0,https://pypi.org/project/captum,2020-11-13 20:23:21.000000,,8753.0,8753.0,,,,,,,,2.0,,1.0,,,,,,,,,,,,,,,,,,\n261,Cufflinks,santosjorge/cufflinks,,data-viz,https://github.com/santosjorge/cufflinks,https://github.com/santosjorge/cufflinks,MIT,2014-11-19 20:59:33.000000,2020-10-07 16:12:54.000000,2020-10-07 16:12:53.000000,503.0,79.0,119.0,2048,450.0,Productivity Tools for Plotly + Pandas.,37.0,26,True,2020-03-01 17:42:01.000000,0.17.3,27.0,cufflinks,,,,['pandas'],2752.0,2518.0,https://pypi.org/project/cufflinks,2020-03-01 17:42:01.000000,234.0,48983.0,48983.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n262,aubio,aubio/aubio,,audio,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44.000000,2020-12-07 11:14:34.000000,2020-07-02 17:03:56.000000,292.0,104.0,171.0,2018,4109.0,a library for audio and music analysis.,24.0,26,False,2019-02-27 09:00:43.000000,0.4.9,10.0,aubio,conda-forge/aubio,,,,221.0,205.0,https://pypi.org/project/aubio,2019-02-08 11:21:02.000000,16.0,1542.0,9768.0,https://anaconda.org/conda-forge/aubio,2020-10-13 12:09:18.538000,378396.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n263,Jina,jina-ai/jina,,nlp,https://github.com/jina-ai/jina,https://github.com/jina-ai/jina,Apache-2.0,2020-02-13 17:04:44.000000,2021-01-12 22:53:22.000000,2021-01-12 22:24:56.000000,318.0,45.0,535.0,1843,4472.0,An easier way to build neural search in the cloud.,81.0,26,True,2021-01-12 20:08:11.000000,0.9.13,128.0,jina,,jinaai/jina,,,45.0,45.0,https://pypi.org/project/jina,2021-01-12 22:00:34.000000,,1699.0,8100.0,,,,https://hub.docker.com/r/jinaai/jina,2021-01-12 22:04:36.519253,,70421.0,2.0,,,,,,,,,,,,,,,,,,,,\n264,BoTorch,pytorch/botorch,,hyperopt,https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000000,2021-01-12 08:18:27.000000,2021-01-11 18:37:07.000000,172.0,40.0,113.0,1812,804.0,Bayesian optimization in PyTorch.,50.0,26,True,2020-12-08 06:47:25.000000,0.3.3,16.0,botorch,,,,['pytorch'],74.0,74.0,https://pypi.org/project/botorch,2020-12-08 06:47:25.000000,0.0,25974.0,25974.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n265,PyFunctional,EntilZha/PyFunctional,,data-pipelines,https://github.com/EntilZha/PyFunctional,https://github.com/EntilZha/PyFunctional,MIT,2015-02-05 17:17:51.000000,2021-01-12 19:21:06.000000,2021-01-12 19:14:24.000000,96.0,3.0,115.0,1762,516.0,Python library for creating data pipelines with chain functional programming.,23.0,26,True,2021-01-12 19:21:07.000000,1.4.3,14.0,pyfunctional,,,,,248.0,248.0,https://pypi.org/project/pyfunctional,2021-01-12 19:14:48.000000,0.0,31092.0,31092.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n266,langid,saffsd/langid.py,,nlp,https://github.com/saffsd/langid.py,https://github.com/saffsd/langid.py,BSD-3-Clause,2011-04-29 00:16:56.000000,2020-01-01 10:49:30.000000,2017-07-15 02:49:17.000000,265.0,25.0,45.0,1703,242.0,Stand-alone language identification system.,9.0,26,False,2016-04-05 22:34:15.000000,1.1.6,8.0,langid,,,,,834.0,584.0,https://pypi.org/project/langid,2016-04-05 22:34:15.000000,250.0,493705.0,493705.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n267,efficientnet,qubvel/efficientnet,,tensorflow-utils,https://github.com/qubvel/efficientnet,https://github.com/qubvel/efficientnet,Apache-2.0,2019-05-30 20:21:09.000000,2020-12-10 07:02:58.000000,2020-09-15 16:19:36.000000,372.0,49.0,55.0,1654,64.0,Implementation of EfficientNet model. Keras and TensorFlow Keras.,8.0,26,True,2020-09-15 16:26:00.000000,1.1.1,9.0,efficientnet,,,,['tensorflow'],484.0,482.0,https://pypi.org/project/efficientnet,2020-09-15 16:26:00.000000,2.0,85376.0,92367.0,,,,,,,,2.0,139839.0,,,,,,,,,,,,,,,,,,,\n268,tesserocr,sirfz/tesserocr,,ocr,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36.000000,2020-12-31 09:45:57.000000,2020-11-17 19:55:36.000000,185.0,60.0,141.0,1382,151.0,A Python wrapper for the tesseract-ocr API.,23.0,26,True,2020-03-17 17:45:44.000000,2.5.1,15.0,tesserocr,conda-forge/tesserocr,,,,495.0,445.0,https://pypi.org/project/tesserocr,2020-03-17 17:45:44.000000,50.0,26257.0,28355.0,https://anaconda.org/conda-forge/tesserocr,2020-10-14 10:27:18.734000,31480.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n269,TFX,tensorflow/tfx,,data-pipelines,https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000000,2021-01-12 21:28:50.000000,2021-01-12 21:28:38.000000,370.0,200.0,304.0,1284,3003.0,TFX is an end-to-end platform for deploying production ML pipelines.,97.0,26,True,2021-01-06 21:34:50.000000,0.26.0,38.0,tfx,,,,['tensorflow'],4.0,,https://pypi.org/project/tfx,2021-01-06 21:34:50.000000,4.0,107197.0,107197.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n270,agate,wireservice/agate,,others,https://github.com/wireservice/agate,https://github.com/wireservice/agate,MIT,2014-04-25 13:59:09.000000,2020-12-30 20:43:14.000000,2020-04-01 15:40:18.000000,131.0,54.0,588.0,1026,1355.0,A Python data analysis library that is optimized for humans instead of machines.,47.0,26,True,2018-03-11 14:37:30.000000,1.6.1,24.0,agate,conda-forge/agate,,,,569.0,477.0,https://pypi.org/project/agate,2018-03-11 14:37:30.000000,92.0,150610.0,151869.0,https://anaconda.org/conda-forge/agate,2018-08-19 06:02:58.597000,59209.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n271,TF Model Optimization,tensorflow/model-optimization,,tensorflow-utils,https://github.com/tensorflow/model-optimization,https://github.com/tensorflow/model-optimization,Apache-2.0,2018-10-31 20:34:28.000000,2021-01-12 20:10:40.000000,2021-01-12 20:10:28.000000,209.0,70.0,89.0,945,468.0,\"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.\",41.0,26,True,2020-09-14 04:46:03.000000,0.5.0,20.0,tensorflow-model-optimization,,,,['tensorflow'],520.0,517.0,https://pypi.org/project/tensorflow-model-optimization,2020-09-14 04:36:08.000000,3.0,52206.0,52206.0,,,,,,,,2.0,,-1.0,,,,,,,,,,,,,,,,,,\n272,pmdarima,alkaline-ml/pmdarima,,time-series-data,https://github.com/alkaline-ml/pmdarima,https://github.com/alkaline-ml/pmdarima,MIT,2017-03-30 14:58:30.000000,2020-12-22 23:37:03.000000,2020-12-02 16:09:46.000000,152.0,17.0,206.0,796,1020.0,\"A statistical library designed to fill the void in Python's time series analysis capabilities, including the..\",16.0,26,True,2020-12-02 23:17:04.000000,1.8.0,28.0,pmdarima,,,,,685.0,673.0,https://pypi.org/project/pmdarima,2020-12-02 23:17:04.000000,12.0,200102.0,200102.0,,,,,,,,2.0,,,,,,,,,True,,,,,,,,,,,\n273,pyclustering,annoviko/pyclustering,,others,https://github.com/annoviko/pyclustering,https://github.com/annoviko/pyclustering,BSD-3-Clause,2014-02-25 18:59:03.000000,2020-12-08 15:01:28.000000,2020-12-03 10:56:55.000000,185.0,53.0,583.0,776,2066.0,\"pyclustring is a Python, C++ data mining library.\",26.0,26,True,2020-11-25 22:33:07.000000,0.10.1.2,46.0,pyclustering,conda-forge/pyclustering,,,,204.0,168.0,https://pypi.org/project/pyclustering,2020-11-25 22:41:20.000000,36.0,17803.0,18720.0,https://anaconda.org/conda-forge/pyclustering,2020-11-30 17:36:43.767000,11866.0,,,,,2.0,282.0,,,,,,,,True,,,,,,,,,,,\n274,dask-ml,dask/dask-ml,,distributed-ml,https://github.com/dask/dask-ml,https://github.com/dask/dask-ml,BSD-3-Clause,2017-06-15 15:56:06.000000,2021-01-11 12:53:16.000000,2021-01-05 22:11:00.000000,181.0,173.0,201.0,682,750.0,Scalable Machine Learning with Dask.,61.0,26,True,2020-09-24 19:34:38.000000,1.7.0,26.0,dask-ml,conda-forge/dask-ml,,,,366.0,324.0,https://pypi.org/project/dask-ml,2020-09-24 19:34:38.000000,42.0,34940.0,39750.0,https://anaconda.org/conda-forge/dask-ml,2020-09-24 21:21:37.412000,187624.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n275,TensorFlow Text,tensorflow/text,,nlp,https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000000,2021-01-12 22:45:44.000000,2021-01-12 19:01:03.000000,85.0,41.0,84.0,678,322.0,Making text a first-class citizen in TensorFlow.,31.0,26,True,2020-12-23 03:10:06.000000,2.4.2,31.0,tensorflow-text,,,,['tensorflow'],409.0,405.0,https://pypi.org/project/tensorflow-text,2020-12-22 23:55:15.000000,4.0,158489.0,158489.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n276,PyVista,pyvista/pyvista,,data-viz,https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000000,2021-01-12 22:17:39.000000,2021-01-11 15:17:19.000000,133.0,114.0,262.0,648,2047.0,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,48.0,26,True,2020-12-10 16:30:09.000000,0.27.4,32.0,pyvista,conda-forge/pyvista,,,['jupyter'],257.0,231.0,https://pypi.org/project/pyvista,2020-12-10 16:30:09.000000,26.0,7391.0,10062.0,https://anaconda.org/conda-forge/pyvista,2020-12-10 19:09:38.280000,53423.0,,,,,3.0,37.0,,,,,,,,,,,,,,,,,,,\n277,Mesh,tensorflow/mesh,,distributed-ml,https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34.000000,2021-01-08 21:05:53.000000,2021-01-08 20:20:18.000000,113.0,72.0,12.0,621,573.0,Mesh TensorFlow: Model Parallelism Made Easier.,38.0,26,True,2020-12-17 23:10:07.000000,0.1.18,24.0,mesh-tensorflow,,,,['tensorflow'],508.0,480.0,https://pypi.org/project/mesh-tensorflow,2020-12-17 23:10:07.000000,28.0,95498.0,95498.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n278,zarr,zarr-developers/zarr-python,,data-containers,https://github.com/zarr-developers/zarr-python,https://github.com/zarr-developers/zarr-python,MIT,2015-12-15 14:49:40.000000,2021-01-12 12:25:06.000000,2021-01-04 03:08:50.000000,107.0,179.0,228.0,618,1374.0,\"An implementation of chunked, compressed, N-dimensional arrays for Python.\",35.0,26,True,2020-12-02 18:33:13.000000,2.6.1,31.0,zarr,conda-forge/zarr,,,,584.0,512.0,https://pypi.org/project/zarr,2020-12-02 18:33:13.000000,72.0,17577.0,26822.0,https://anaconda.org/conda-forge/zarr,2020-12-03 02:31:13.848000,517768.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n279,SMAC3,automl/SMAC3,,hyperopt,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-3-Clause,2016-08-17 10:58:05.000000,2021-01-11 23:14:52.000000,2020-10-29 10:14:55.000000,153.0,76.0,250.0,551,1888.0,Sequential Model-based Algorithm Configuration.,30.0,26,True,2020-10-29 10:57:56.000000,0.13.1,29.0,smac,,,,,58.0,,https://pypi.org/project/smac,2020-10-29 10:57:56.000000,58.0,8928.0,8928.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n280,tabulator-py,frictionlessdata/tabulator-py,,data-loading,https://github.com/frictionlessdata/tabulator-py,https://github.com/frictionlessdata/tabulator-py,MIT,2015-08-24 05:34:38.000000,2020-11-30 09:29:14.000000,2020-11-30 08:49:22.000000,40.0,,176.0,199,646.0,Python library for reading and writing tabular data via streams.,24.0,26,True,2020-11-30 09:29:14.000000,1.53.1,138.0,tabulator,conda-forge/tabulator-py,,,,558.0,454.0,https://pypi.org/project/tabulator,2020-11-30 09:29:14.000000,104.0,94112.0,94980.0,https://anaconda.org/conda-forge/tabulator-py,2018-07-24 12:57:07.018000,37347.0,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n281,spleeter,deezer/spleeter,,audio,https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000000,2021-01-11 12:10:53.000000,2021-01-11 12:10:52.000000,1548.0,92.0,403.0,15267,424.0,Deezer source separation library including pretrained models.,17.0,25,True,2021-01-08 18:22:28.000000,2.1.2,30.0,spleeter,conda-forge/spleeter,,,['tensorflow'],0.0,,https://pypi.org/project/spleeter,2021-01-08 18:22:28.000000,0.0,5775.0,67997.0,https://anaconda.org/conda-forge/spleeter,2020-06-30 14:33:43.220000,40604.0,,,,,2.0,889832.0,-3.0,,,,,,,,,,,,,,,,,,\n282,MMDetection,open-mmlab/mmdetection,,image,https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000000,2021-01-12 16:22:43.000000,2021-01-12 09:11:16.000000,4535.0,327.0,2919.0,13271,1388.0,OpenMMLab Detection Toolbox and Benchmark.,183.0,25,True,2021-01-04 02:43:20.000000,2.8.0,8.0,,,,,['pytorch'],18.0,18.0,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n283,NuPIC,numenta/nupic,,ml-frameworks,https://github.com/numenta/nupic,https://github.com/numenta/nupic,AGPL-3.0,2013-04-05 23:14:27.000000,2020-12-11 19:56:36.000000,2019-10-23 20:45:07.000000,1585.0,456.0,1337.0,6190,6625.0,\"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..\",120.0,25,False,2018-06-01 15:37:54.000000,1.0.5,53.0,nupic,,,,,128.0,90.0,https://pypi.org/project/nupic,2018-06-01 15:37:54.000000,38.0,1546.0,1546.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n284,Trax,google/trax,,others,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000000,2021-01-11 23:56:14.000000,2021-01-11 23:56:03.000000,514.0,53.0,99.0,5548,1244.0,Trax Deep Learning with Clear Code and Speed.,56.0,25,True,2020-12-18 17:22:13.000000,1.3.7,20.0,trax,,,,,18.0,18.0,https://pypi.org/project/trax,2020-12-18 17:22:13.000000,,3369.0,3369.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n285,Milvus,milvus-io/milvus,,nn-search,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000000,2021-01-12 07:26:21.000000,2021-01-12 02:59:17.000000,752.0,227.0,1860.0,4890,6161.0,\"An open source embedding vector similarity search engine powered by Faiss, NMSLIB and Annoy.\",141.0,25,True,2021-01-07 11:11:35.000000,0.10.5,43.0,pymilvus,,milvusdb/milvus,,,6.0,,https://pypi.org/project/pymilvus,2020-10-16 13:11:09.000000,6.0,5522.0,19157.0,,,,https://hub.docker.com/r/milvusdb/milvus,2021-01-06 06:23:42.478311,9.0,218175.0,2.0,,,,,,,,,,,,,,,,,,,,\n286,CleverHans,cleverhans-lab/cleverhans,,adversarial,https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04.000000,2020-12-09 17:37:00.000000,2020-07-09 02:26:15.000000,1209.0,75.0,373.0,4887,3001.0,\"An adversarial example library for constructing attacks, building defenses, and benchmarking both.\",108.0,25,True,2018-11-27 17:36:15.000000,3.0.1,6.0,cleverhans,,,,['tensorflow'],187.0,179.0,https://pypi.org/project/cleverhans,2018-11-27 17:36:15.000000,8.0,527.0,527.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n287,Augmentor,mdbloice/Augmentor,,image,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55.000000,2020-11-10 05:20:01.000000,2020-03-09 11:32:02.000000,777.0,115.0,67.0,4279,511.0,Image augmentation library in Python for machine learning.,22.0,25,True,2020-01-17 11:59:53.000000,0.2.8,20.0,Augmentor,,,,,316.0,274.0,https://pypi.org/project/Augmentor,2020-01-17 11:59:53.000000,42.0,2788.0,2788.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n288,pyAudioAnalysis,tyiannak/pyAudioAnalysis,,audio,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13.000000,2021-01-04 18:37:44.000000,2021-01-04 18:37:38.000000,957.0,165.0,104.0,3682,675.0,\"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.\",23.0,25,True,2020-09-29 21:30:02.000000,0.3.6,15.0,pyAudioAnalysis,,,,,185.0,174.0,https://pypi.org/project/pyAudioAnalysis,2020-09-29 21:30:02.000000,11.0,6335.0,6335.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n289,TensorFlowOnSpark,yahoo/TensorFlowOnSpark,,distributed-ml,https://github.com/yahoo/TensorFlowOnSpark,https://github.com/yahoo/TensorFlowOnSpark,Apache-2.0,2017-01-20 18:15:57.000000,2020-12-23 22:10:27.000000,2020-12-21 19:10:28.000000,928.0,6.0,336.0,3615,589.0,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,33.0,25,True,2020-12-18 21:57:51.000000,2.2.2,29.0,tensorflowonspark,,,,\"['tensorflow', 'spark']\",5.0,,https://pypi.org/project/tensorflowonspark,2020-12-18 18:32:09.000000,5.0,60239.0,60239.0,,,,,,,,2.0,,1.0,,,,,,,,,,,,,,,,,,\n290,pyfolio,quantopian/pyfolio,,financial-data,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39.000000,2020-07-29 16:06:37.000000,2020-07-15 13:46:58.000000,1055.0,123.0,263.0,3386,1184.0,Portfolio and risk analytics in Python.,55.0,25,True,2019-04-15 14:54:03.000000,0.9.1,21.0,pyfolio,conda-forge/pyfolio,,,,243.0,189.0,https://pypi.org/project/pyfolio,2019-04-15 14:54:03.000000,54.0,6820.0,6974.0,https://anaconda.org/conda-forge/pyfolio,2020-05-16 14:11:57.267000,5411.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n291,espnet,espnet/espnet,,audio,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000000,2021-01-12 23:42:29.000000,2021-01-12 22:28:12.000000,1013.0,111.0,1025.0,3309,10352.0,End-to-End Speech Processing Toolkit.,135.0,25,True,2020-12-01 12:18:22.000000,0.9.6,31.0,espnet,,,,,4.0,4.0,https://pypi.org/project/espnet,2020-12-01 12:18:22.000000,0.0,1220.0,1221.0,,,,,,,,2.0,59.0,,,,,,,,,,,,,,,,,,,\n292,yellowbrick,DistrictDataLabs/yellowbrick,,interpretability,https://github.com/DistrictDataLabs/yellowbrick,https://github.com/DistrictDataLabs/yellowbrick,Apache-2.0,2016-05-18 14:12:17.000000,2020-12-29 16:30:19.000000,2020-12-29 16:28:56.000000,462.0,83.0,509.0,3069,829.0,Visual analysis and diagnostic tools to facilitate machine learning model selection.,95.0,25,True,2020-10-09 19:34:55.000000,1.2,19.0,yellowbrick,,,,['sklearn'],62.0,,https://pypi.org/project/yellowbrick,2020-10-09 19:35:00.000000,62.0,56468.0,56468.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n293,ftfy,LuminosoInsight/python-ftfy,,nlp,https://github.com/LuminosoInsight/python-ftfy,https://github.com/LuminosoInsight/python-ftfy,MIT,2012-08-24 16:14:59.000000,2020-08-21 18:13:12.000000,2020-07-17 21:21:57.000000,98.0,14.0,92.0,2872,510.0,\"Fixes mojibake and other glitches in Unicode text, after the fact.\",17.0,25,True,2020-02-18 16:42:00.000000,5.6.1,41.0,ftfy,conda-forge/ftfy,,,,3350.0,2590.0,https://pypi.org/project/ftfy,2020-07-20 21:50:51.000000,760.0,255580.0,257659.0,https://anaconda.org/conda-forge/ftfy,2019-02-03 00:23:45.610000,93584.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n294,nevergrad,facebookresearch/nevergrad,,hyperopt,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000000,2021-01-12 07:59:29.000000,2021-01-07 16:18:04.000000,266.0,75.0,115.0,2788,745.0,A Python toolbox for performing gradient-free optimization.,42.0,25,True,2020-08-04 12:13:07.000000,0.4.2,25.0,nevergrad,conda-forge/nevergrad,,,,124.0,110.0,https://pypi.org/project/nevergrad,2020-12-10 15:37:29.000000,14.0,7396.0,8016.0,https://anaconda.org/conda-forge/nevergrad,2020-12-14 18:21:29.267000,5580.0,,,,,2.0,,-1.0,,,,,,,,,,,,,,,,,,\n295,Stable Baselines,hill-a/stable-baselines,,reinforcement-learning,https://github.com/hill-a/stable-baselines,https://github.com/hill-a/stable-baselines,MIT,2018-07-02 14:28:59.000000,2020-12-30 15:28:45.000000,2020-12-23 16:27:08.000000,556.0,117.0,710.0,2772,835.0,\"A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.\",110.0,25,True,2020-08-05 19:45:11.000000,2.10.1,30.0,stable-baselines,,,,,25.0,,https://pypi.org/project/stable-baselines,2020-08-05 19:42:14.000000,25.0,8632.0,8632.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n296,vaderSentiment,cjhutto/vaderSentiment,,nlp,https://github.com/cjhutto/vaderSentiment,https://github.com/cjhutto/vaderSentiment,MIT,2014-11-17 16:31:45.000000,2020-07-17 19:47:37.000000,2020-05-22 15:33:43.000000,714.0,24.0,74.0,2724,122.0,VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based..,10.0,25,True,2020-05-22 15:07:00.000000,3.3.2,15.0,vadersentiment,,,,,2474.0,2188.0,https://pypi.org/project/vadersentiment,2020-05-22 15:07:00.000000,286.0,105641.0,105641.0,,,,,,,,2.0,,,,,,,,,True,,,,,,,,,,,\n297,Neural Network Libraries,sony/nnabla,,ml-frameworks,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10.000000,2021-01-12 10:33:01.000000,2020-12-29 03:30:50.000000,303.0,35.0,18.0,2399,2227.0,Neural Network Libraries.,55.0,25,True,2020-12-24 02:44:34.000000,1.15.0,51.0,nnabla,,,,,34.0,,https://pypi.org/project/nnabla,2020-12-24 02:44:34.000000,34.0,2868.0,2880.0,,,,,,,,3.0,521.0,,,,,,,,,,,,,,,,,,,\n298,TextDistance,life4/textdistance,,nlp,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10.000000,2021-01-11 12:19:04.000000,2020-04-13 10:34:26.000000,159.0,9.0,,1858,289.0,\"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..\",7.0,25,True,2020-04-13 10:17:59.000000,.4.2.0,20.0,textdistance,conda-forge/textdistance,,,,319.0,291.0,https://pypi.org/project/textdistance,2020-04-13 09:59:27.000000,28.0,97474.0,97984.0,https://anaconda.org/conda-forge/textdistance,2020-11-10 18:38:06.222000,16267.0,,,,,2.0,96.0,,,,,,,,,,,,,,,,,,,\n299,spark-nlp,JohnSnowLabs/spark-nlp,,nlp,https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000000,2021-01-12 21:40:44.000000,2021-01-12 14:56:38.000000,393.0,72.0,329.0,1826,5782.0,State of the Art Natural Language Processing.,73.0,25,True,2021-01-08 22:59:02.000000,2.7.1,72.0,spark-nlp,,,,['spark'],0.0,,https://pypi.org/project/spark-nlp,2021-01-04 18:05:17.000000,0.0,374063.0,374063.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n300,Foolbox,bethgelab/foolbox,,adversarial,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48.000000,2020-12-20 18:06:33.000000,2020-12-20 18:05:23.000000,314.0,41.0,262.0,1759,1637.0,\"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.\",30.0,25,True,2020-09-26 06:49:13.000000,3.2.1,66.0,foolbox,,,,,182.0,164.0,https://pypi.org/project/foolbox,2020-09-26 06:49:13.000000,18.0,1091.0,1091.0,,,,,,,,1.0,,-1.0,,,,,,,,,,,,,,,,,,\n301,facenet-pytorch,timesler/facenet-pytorch,,image,https://github.com/timesler/facenet-pytorch,https://github.com/timesler/facenet-pytorch,MIT,2019-05-25 01:29:24.000000,2020-11-19 06:56:24.000000,2020-11-19 06:56:23.000000,373.0,25.0,84.0,1755,229.0,Pretrained Pytorch face detection (MTCNN) and recognition (InceptionResnet) models.,11.0,25,True,2020-11-19 06:49:36.000000,2.5.1,30.0,facenet-pytorch,,,,['pytorch'],254.0,251.0,https://pypi.org/project/facenet-pytorch,2020-11-19 06:49:36.000000,3.0,4342.0,8046.0,,,,,,,,2.0,51857.0,-1.0,,,,,,,,,,,,,,,,,,\n302,StellarGraph,stellargraph/stellargraph,,graph,https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51.000000,2021-01-12 02:04:36.000000,2021-01-12 02:04:33.000000,247.0,211.0,697.0,1714,2515.0,StellarGraph - Machine Learning on Graphs.,28.0,25,True,2020-06-30 05:15:21.000000,1.2.1,25.0,stellargraph,,,,['tensorflow'],44.0,42.0,https://pypi.org/project/stellargraph,2020-06-25 09:38:56.000000,2.0,6961.0,6961.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n303,pytorch-optimizer,jettify/pytorch-optimizer,,pytorch-utils,https://github.com/jettify/pytorch-optimizer,https://github.com/jettify/pytorch-optimizer,Apache-2.0,2020-01-03 03:16:39.000000,2021-01-08 11:02:15.000000,2021-01-08 11:02:12.000000,150.0,10.0,22.0,1615,337.0,torch-optimizer -- collection of optimizers for Pytorch.,19.0,25,True,2021-01-01 16:51:15.000000,0.1.0,19.0,torch_optimizer,,,,['pytorch'],101.0,101.0,https://pypi.org/project/torch_optimizer,2021-01-01 16:51:15.000000,0.0,11899.0,11899.0,,,,,,,,1.0,,,,,,,,,True,,,,,,,,,,,\n304,HyperTools,ContextLab/hypertools,,data-viz,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25.000000,2021-01-06 14:11:39.000000,2021-01-06 14:11:38.000000,151.0,69.0,122.0,1603,1591.0,A Python toolbox for gaining geometric insights into high-dimensional data.,21.0,25,True,2020-10-02 21:38:16.000000,0.6.3,19.0,hypertools,,,,,102.0,93.0,https://pypi.org/project/hypertools,2020-10-02 21:41:53.000000,9.0,208.0,208.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n305,category_encoders,scikit-learn-contrib/category_encoders,,sklearn-utils,https://github.com/scikit-learn-contrib/category_encoders,https://github.com/scikit-learn-contrib/category_encoders,BSD-3-Clause,2015-11-29 19:32:37.000000,2020-11-10 15:17:22.000000,2020-07-31 10:43:44.000000,291.0,64.0,134.0,1548,671.0,A library of sklearn compatible categorical variable encoders.,34.0,25,True,2020-04-29 02:09:51.000000,2.2.2,19.0,category_encoders,conda-forge/category_encoders,,,['sklearn'],23.0,,https://pypi.org/project/category_encoders,2018-10-14 14:15:54.000000,23.0,215008.0,216697.0,https://anaconda.org/conda-forge/category_encoders,2020-04-29 22:37:35.948000,91248.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n306,swifter,jmcarpenter2/swifter,,data-containers,https://github.com/jmcarpenter2/swifter,https://github.com/jmcarpenter2/swifter,MIT,2018-04-07 21:37:19.000000,2020-12-19 19:11:45.000000,2020-12-19 19:11:44.000000,69.0,14.0,76.0,1497,423.0,A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner.,14.0,25,True,2020-10-11 22:42:57.000000,1.0.7,71.0,swifter,conda-forge/swifter,,,['pandas'],286.0,270.0,https://pypi.org/project/swifter,2020-10-11 22:42:57.000000,16.0,51074.0,54571.0,https://anaconda.org/conda-forge/swifter,2020-09-20 15:08:56.885000,73456.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n307,Pythran,serge-sans-paille/pythran,,others,https://github.com/serge-sans-paille/pythran,https://github.com/serge-sans-paille/pythran,BSD-3-Clause,2012-05-29 08:02:14.000000,2021-01-08 13:31:09.000000,2021-01-06 06:16:14.000000,134.0,99.0,538.0,1496,3309.0,Ahead of Time compiler for numeric kernels.,47.0,25,True,2020-12-09 20:06:55.000000,0.9.8,44.0,pythran,conda-forge/pythran,,,,61.0,48.0,https://pypi.org/project/pythran,2020-12-11 23:02:35.000000,13.0,3862.0,7642.0,https://anaconda.org/conda-forge/pythran,2020-12-15 13:25:04.645000,120970.0,,,,,2.0,,,,,,,,,,,,,,,pythran,python-pythran,,,,\n308,streamparse,Parsely/streamparse,,data-pipelines,https://github.com/Parsely/streamparse,https://github.com/Parsely/streamparse,Apache-2.0,2014-05-02 20:33:50.000000,2020-12-18 18:44:04.000000,2020-12-18 18:43:59.000000,219.0,69.0,263.0,1426,1059.0,\"Run Python in Apache Storm topologies. Pythonic API, CLI tooling, and a topology DSL.\",40.0,25,True,2020-10-07 19:53:15.000000,4.0.0,47.0,streamparse,,,,,72.0,46.0,https://pypi.org/project/streamparse,2020-10-07 19:45:19.000000,26.0,1588.0,1588.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n309,chainercv,chainer/chainercv,,image,https://github.com/chainer/chainercv,https://github.com/chainer/chainercv,MIT,2017-02-13 04:15:10.000000,2020-02-03 01:27:17.000000,2020-01-07 11:48:31.000000,318.0,54.0,168.0,1420,4930.0,ChainerCV: a Library for Deep Learning in Computer Vision.,39.0,25,True,2019-06-12 11:55:02.000000,0.13.1,23.0,chainercv,,,,,237.0,213.0,https://pypi.org/project/chainercv,2019-05-31 08:53:39.000000,24.0,3377.0,3377.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n310,jellyfish,jamesturk/jellyfish,,nlp,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,BSD-2-Clause,2010-07-09 20:41:11.000000,2021-01-08 15:04:47.681000,2020-12-30 16:47:13.000000,119.0,9.0,86.0,1383,,a python library for doing approximate and phonetic matching of strings.,20.0,25,True,2020-05-21 20:37:01.000000,0.8.2,27.0,jellyfish,conda-forge/jellyfish,,,,2652.0,2006.0,https://pypi.org/project/jellyfish,2020-05-21 20:37:01.000000,646.0,764812.0,766857.0,https://anaconda.org/conda-forge/jellyfish,2021-01-08 15:04:47.681000,106349.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n311,Ax,facebook/Ax,,hyperopt,https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000000,2021-01-12 02:13:30.000000,2021-01-07 21:24:35.000000,140.0,35.0,176.0,1368,898.0,Adaptive Experimentation Platform.,91.0,25,True,2020-12-08 19:07:48.000000,0.1.19,20.0,ax-platform,,,,['pytorch'],123.0,119.0,https://pypi.org/project/ax-platform,2020-12-08 19:07:48.000000,4.0,14980.0,14980.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n312,dtreeviz,parrt/dtreeviz,,interpretability,https://github.com/parrt/dtreeviz,https://github.com/parrt/dtreeviz,MIT,2018-08-13 21:45:15.000000,2020-12-14 07:52:26.000000,2020-11-25 21:41:34.000000,181.0,14.0,66.0,1339,299.0,A python library for decision tree visualization and model interpretation.,13.0,25,True,2020-11-25 21:42:44.000000,1.1.3,20.0,dtreeviz,,,,,102.0,98.0,https://pypi.org/project/dtreeviz,2020-11-25 21:41:45.000000,4.0,12759.0,12759.0,,,,,,,,2.0,,,,,,,,,True,,,,,,,,,,,\n313,TNT,pytorch/tnt,,ml-experiments,https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58.000000,2021-01-05 19:36:18.000000,2021-01-05 19:36:17.000000,184.0,30.0,34.0,1270,156.0,\"Simple tools for logging and visualizing, loading and training.\",35.0,25,True,2019-11-15 12:57:59.000000,0.0.5.1,3.0,torchnet,,,,['pytorch'],556.0,506.0,https://pypi.org/project/torchnet,2018-07-29 23:16:03.000000,50.0,11375.0,11375.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n314,haystack,deepset-ai/haystack,,nlp,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000000,2021-01-12 21:31:52.000000,2021-01-12 16:54:43.000000,216.0,53.0,355.0,1245,488.0,Transformers at scale for question answering & neural search. Using NLP via a modular Retriever-Reader-Pipeline...,28.0,25,True,2020-12-17 06:53:05.000000,0.6.0,34.0,haystack,,,,,99.0,25.0,https://pypi.org/project/haystack,2017-07-03 04:44:52.000000,74.0,2881.0,2881.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n315,ViZDoom,mwydmuch/ViZDoom,,reinforcement-learning,https://github.com/mwydmuch/ViZDoom,https://github.com/mwydmuch/ViZDoom,MIT,2015-06-26 18:38:23.000000,2020-12-16 10:27:24.000000,2020-12-16 10:26:56.000000,277.0,88.0,327.0,1151,1459.0,Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information.,43.0,25,True,2020-10-29 15:54:47.000000,1.1.8,19.0,vizdoom,,,,,111.0,99.0,https://pypi.org/project/vizdoom,2020-10-29 15:56:20.000000,12.0,409.0,587.0,,,,,,,,2.0,10340.0,,,,,,,,,,,,,,,,,,,\n316,ArcGIS API,Esri/arcgis-python-api,,geospatial-data,https://github.com/Esri/arcgis-python-api,https://github.com/Esri/arcgis-python-api,Apache-2.0,2016-03-16 01:09:14.000000,2021-01-12 08:08:23.000000,2021-01-06 14:04:59.000000,676.0,125.0,193.0,935,2864.0,Documentation and samples for ArcGIS API for Python.,60.0,25,True,2020-12-15 21:49:37.000000,1.8.3,25.0,arcgis,,esridocker/arcgis-api-python-notebook,,,10.0,,https://pypi.org/project/arcgis,2020-11-30 16:13:47.000000,10.0,19495.0,19557.0,,,,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,2020-03-06 00:53:45.164342,29.0,3637.0,3.0,,,,,,,,,,,,,,,,,,,,\n317,bcolz,Blosc/bcolz,,data-containers,https://github.com/Blosc/bcolz,https://github.com/Blosc/bcolz,BSD-3-Clause,2010-08-18 15:27:02.000000,2020-09-10 12:12:51.000000,2020-09-10 12:12:45.000000,115.0,126.0,120.0,907,1280.0,A columnar data container that can be compressed.,33.0,25,True,2018-04-13 07:44:26.000000,1.2.1,23.0,bcolz,conda-forge/bcolz,,,,2437.0,1469.0,https://pypi.org/project/bcolz,2018-04-13 07:44:26.000000,968.0,19901.0,24253.0,https://anaconda.org/conda-forge/bcolz,2019-11-05 21:09:48.045000,204590.0,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n318,empyrical,quantopian/empyrical,,financial-data,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52.000000,2020-10-14 13:28:13.625000,2020-10-14 13:22:39.000000,218.0,27.0,26.0,682,167.0,Common financial risk and performance metrics. Used by zipline and pyfolio.,22.0,25,True,2020-10-13 21:28:25.000000,0.5.5,20.0,empyrical,conda-forge/empyrical,,,,717.0,495.0,https://pypi.org/project/empyrical,2020-10-13 17:31:37.000000,222.0,25234.0,25492.0,https://anaconda.org/conda-forge/empyrical,2020-10-14 13:28:13.625000,9030.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n319,Satpy,pytroll/satpy,,geospatial-data,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000000,2021-01-12 14:05:39.000000,2021-01-07 02:54:17.000000,191.0,300.0,285.0,664,8124.0,Python package for earth-observing satellite data processing.,103.0,25,False,2021-01-07 03:03:07.000000,0.25.1,63.0,satpy,conda-forge/satpy,,,,43.0,37.0,https://pypi.org/project/satpy,2021-01-07 03:03:07.000000,6.0,408.0,2128.0,https://anaconda.org/conda-forge/satpy,2021-01-07 15:09:16.887000,51625.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n320,mahotas,luispedro/mahotas,,image,https://github.com/luispedro/mahotas,https://github.com/luispedro/mahotas,MIT,2010-01-31 00:13:06.000000,2020-11-01 16:34:04.486000,2020-08-16 13:17:33.000000,123.0,13.0,56.0,660,1273.0,Computer Vision in Python.,30.0,25,True,2020-06-11 11:35:18.000000,1.4.11,57.0,mahotas,conda-forge/mahotas,,,,737.0,547.0,https://pypi.org/project/mahotas,2020-08-16 17:22:48.000000,190.0,8797.0,13087.0,https://anaconda.org/conda-forge/mahotas,2020-11-01 16:34:04.486000,248861.0,,,,,2.0,,,,,,,,,True,,,,,,,,,,,\n321,tensorflow-upstream,ROCmSoftwarePlatform/tensorflow-upstream,,ml-frameworks,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,Apache-2.0,2018-04-09 21:24:50.000000,2021-01-12 22:54:29.000000,2021-01-12 18:43:41.000000,62.0,55.0,225.0,530,79524.0,TensorFlow ROCm port.,3501.0,25,True,2020-12-08 01:43:55.000000,2.4.0,58.0,tensorflow-rocm,,,,['tensorflow'],,,https://pypi.org/project/tensorflow-rocm,2020-12-22 02:51:55.000000,,2209.0,2209.0,,,,,,,,3.0,16.0,,,,,,,,True,,,,,,,,,,,\n322,TensorFlow I/O,tensorflow/io,,tensorflow-utils,https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05.000000,2021-01-12 13:22:06.000000,2021-01-12 13:22:04.000000,144.0,110.0,273.0,400,1334.0,\"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.\",72.0,25,True,2020-12-15 00:45:37.000000,0.17.0,21.0,tensorflow-io,,,,['tensorflow'],90.0,90.0,https://pypi.org/project/tensorflow-io,2020-12-15 00:42:35.000000,0.0,43732.0,43732.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n323,mpi4py,mpi4py/mpi4py,,distributed-ml,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-3-Clause,2013-09-05 14:44:25.000000,2021-01-12 19:31:12.000000,2021-01-12 19:31:10.000000,61.0,1.0,3.0,372,2190.0,Python bindings for MPI.,13.0,25,True,2020-07-27 06:40:19.000000,3.0.3,13.0,mpi4py,conda-forge/mpi4py,,,,700.0,,https://pypi.org/project/mpi4py,2019-11-04 13:05:10.000000,700.0,141363.0,151075.0,https://anaconda.org/conda-forge/mpi4py,2021-01-08 21:21:59.475000,499534.0,,,,,2.0,637.0,,,,,,,,,,,,,,,,,,,\n324,python-soundfile,bastibe/python-soundfile,,audio,https://github.com/bastibe/python-soundfile,https://github.com/bastibe/python-soundfile,BSD-3-Clause,2013-08-27 13:36:52.000000,2020-12-02 15:07:22.000000,2020-12-01 18:42:47.000000,41.0,57.0,85.0,350,493.0,\"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.\",19.0,25,True,2019-12-04 10:03:39.000000,0.10.3post1,7.0,soundfile,,,,,5966.0,5226.0,https://pypi.org/project/soundfile,2018-04-19 07:13:19.000000,740.0,371513.0,371536.0,,,,,,,,2.0,1977.0,,,,,,,,,,,,,,,,,,,\n325,hvPlot,holoviz/hvplot,,data-viz,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000000,2021-01-06 23:26:19.353000,2021-01-06 17:31:35.000000,49.0,99.0,215.0,332,361.0,\"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.\",22.0,25,True,2020-12-16 22:59:26.000000,0.7.0,9.0,hvplot,conda-forge/hvplot,,,,439.0,424.0,https://pypi.org/project/hvplot,2020-06-02 00:27:18.000000,15.0,44840.0,46796.0,https://anaconda.org/conda-forge/hvplot,2021-01-06 23:26:19.353000,56734.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n326,PaddleOCR,PaddlePaddle/PaddleOCR,,ocr,https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000000,2021-01-12 13:34:30.000000,2021-01-12 08:43:10.000000,1624.0,325.0,791.0,8327,,\"Awesome multilingual OCR toolkits based on PaddlePaddle practical ultra lightweight OCR system, provide data..\",41.0,24,True,2020-12-18 04:01:23.000000,2.0.2,10.0,paddleocr,,,,['paddle'],18.0,18.0,https://pypi.org/project/paddleocr,2020-12-18 04:01:23.000000,0.0,1585.0,1585.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n327,pysc2,deepmind/pysc2,,others,https://github.com/deepmind/pysc2,https://github.com/deepmind/pysc2,Apache-2.0,2017-07-25 18:16:57.000000,2020-07-29 16:22:31.000000,2019-09-27 15:23:22.000000,1062.0,48.0,203.0,7145,513.0,StarCraft II Learning Environment.,34.0,24,False,2019-09-27 15:48:01.000000,3.0.0,7.0,pysc2,,,,,238.0,218.0,https://pypi.org/project/pysc2,2019-09-27 15:48:01.000000,20.0,588.0,1207.0,,,,,,,,2.0,25405.0,,,,,,,,,,,,,,,,,,,\n328,ParlAI,facebookresearch/ParlAI,,nlp,https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44.000000,2021-01-12 20:53:18.000000,2021-01-12 18:59:15.000000,1381.0,111.0,821.0,6900,3582.0,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,137.0,24,True,2020-12-16 23:15:51.000000,0.10.0,12.0,parlai,,,,['pytorch'],5.0,5.0,https://pypi.org/project/parlai,2020-12-16 23:15:51.000000,,762.0,762.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n329,PyText,facebookresearch/pytext,,nlp,https://github.com/facebookresearch/pytext,https://github.com/facebookresearch/pytext,BSD-3-Clause,2018-07-31 23:40:46.000000,2021-01-09 02:41:21.000000,2021-01-09 02:41:14.000000,759.0,115.0,74.0,6113,1347.0,A natural language modeling framework based on PyTorch.,148.0,24,True,2020-06-08 23:30:58.000000,0.3.3,12.0,pytext-nlp,,,,['pytorch'],57.0,56.0,https://pypi.org/project/pytext-nlp,2020-04-27 08:09:25.000000,1.0,285.0,293.0,,,,,,,,2.0,212.0,,,,,,,,,,,,,,,,,,,\n330,stanza,stanfordnlp/stanza,,nlp,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56.000000,2021-01-12 16:50:01.000000,2021-01-12 04:32:19.000000,627.0,55.0,376.0,5091,1516.0,Official Stanford NLP Python Library for Many Human Languages.,28.0,24,True,2020-08-13 06:26:20.000000,1.1.1,9.0,stanza,stanfordnlp/stanza,,,,2.0,,https://pypi.org/project/stanza,2020-08-13 06:08:07.000000,2.0,12402.0,12697.0,https://anaconda.org/stanfordnlp/stanza,2020-08-13 06:22:54.550000,2956.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n331,Edward,blei-lab/edward,,probabilistics,https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05.000000,2019-10-22 20:30:48.000000,2018-07-25 01:28:08.000000,767.0,212.0,327.0,4592,1796.0,\"A probabilistic programming language in TensorFlow. Deep generative models, variational inference.\",87.0,24,False,2018-01-22 06:03:37.000000,1.3.5,28.0,edward,,,,['tensorflow'],241.0,204.0,https://pypi.org/project/edward,2018-01-22 06:03:05.000000,37.0,750.0,750.0,,,,,,,,3.0,10.0,,,,,,,,,,,,,,,,,,,\n332,PyTorch3D,facebookresearch/pytorch3d,,image,https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,MIT,2019-10-25 02:23:45.000000,2021-01-11 23:50:05.000000,2021-01-11 23:49:55.000000,459.0,56.0,405.0,4213,353.0,PyTorch3D is FAIR's library of reusable components for deep learning with 3D data.,50.0,24,True,2020-11-12 10:28:29.000000,0.3.0,6.0,pytorch3d,pytorch3d/pytorch3d,,,['pytorch'],40.0,40.0,https://pypi.org/project/pytorch3d,2020-11-12 10:28:29.000000,,4449.0,4840.0,https://anaconda.org/pytorch3d/pytorch3d,2020-11-12 10:28:27.832000,5486.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n333,Lucid,tensorflow/lucid,,interpretability,https://github.com/tensorflow/lucid,https://github.com/tensorflow/lucid,Apache-2.0,2018-01-25 17:41:44.000000,2021-01-12 06:14:01.000000,2020-11-24 20:56:27.000000,552.0,67.0,93.0,4030,632.0,A collection of infrastructure and tools for research in neural network interpretability.,34.0,24,True,2019-01-17 19:46:43.000000,0.3.9-alpha,16.0,lucid,,,,['tensorflow'],404.0,398.0,https://pypi.org/project/lucid,2018-12-20 00:26:11.000000,6.0,527.0,527.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n334,Lasagne,Lasagne/Lasagne,,ml-frameworks,https://github.com/Lasagne/Lasagne,https://github.com/Lasagne/Lasagne,MIT,2014-09-11 15:31:41.000000,2019-11-20 20:28:31.000000,2019-11-20 20:28:30.000000,983.0,139.0,402.0,3772,1161.0,Lightweight library to build and train neural networks in Theano.,72.0,24,False,2015-08-13 21:00:09.000000,0.1,1.0,lasagne,,,,,1027.0,774.0,https://pypi.org/project/lasagne,2015-08-13 21:10:53.000000,253.0,1634.0,1634.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n335,BigDL,intel-analytics/BigDL,,distributed-ml,https://github.com/intel-analytics/BigDL,https://github.com/intel-analytics/BigDL,Apache-2.0,2016-08-29 07:59:50.000000,2021-01-05 05:59:41.000000,2020-12-23 08:33:44.000000,900.0,178.0,727.0,3686,2657.0,BigDL: Distributed Deep Learning Framework for Apache Spark.,71.0,24,True,2021-01-05 05:55:32.000000,0.12.1,37.0,bigdl,,,,,27.0,21.0,https://pypi.org/project/bigdl,2020-12-29 06:08:45.000000,6.0,1027.0,1027.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,com.intel.analytics.bigdl:bigdl-SPARK_2.4,https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4,2020-12-05 03:54:47.000000,0.0\n336,torchdiffeq,rtqichen/torchdiffeq,,pytorch-utils,https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25.000000,2021-01-07 22:17:34.000000,2021-01-07 22:17:33.000000,571.0,11.0,108.0,3305,205.0,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,20.0,24,True,2020-09-16 23:32:05.000000,0.1.1,3.0,torchdiffeq,,,,['pytorch'],57.0,57.0,https://pypi.org/project/torchdiffeq,2020-09-16 23:32:05.000000,0.0,1765.0,1765.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n337,T5,google-research/text-to-text-transfer-transformer,,nlp,https://github.com/google-research/text-to-text-transfer-transformer,https://github.com/google-research/text-to-text-transfer-transformer,Apache-2.0,2019-10-17 21:45:14.000000,2021-01-12 21:36:28.000000,2021-01-12 21:23:20.000000,415.0,38.0,281.0,3112,397.0,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,28.0,24,True,2020-12-18 21:12:02.000000,0.8.1,25.0,t5,,,,['tensorflow'],19.0,19.0,https://pypi.org/project/t5,2020-12-18 21:12:02.000000,0.0,5775.0,5775.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n338,pytorch-summary,sksq96/pytorch-summary,,pytorch-utils,https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04.000000,2020-09-11 22:33:42.000000,2020-08-07 01:16:40.000000,336.0,100.0,36.0,2868,56.0,Model summary in PyTorch similar to `model.summary()` in Keras.,11.0,24,True,2018-09-26 05:07:28.000000,1.5.1,12.0,torchsummary,,,,['pytorch'],1869.0,1751.0,https://pypi.org/project/torchsummary,2018-09-26 05:07:28.000000,118.0,35889.0,35889.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n339,TensorForce,tensorforce/tensorforce,,reinforcement-learning,https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22.000000,2020-12-30 11:17:02.000000,2020-12-30 11:16:54.000000,472.0,8.0,538.0,2838,2011.0,Tensorforce: a TensorFlow library for applied reinforcement learning.,76.0,24,True,2020-10-03 16:00:39.000000,0.6.2,12.0,tensorforce,,,,['tensorflow'],23.0,,https://pypi.org/project/tensorforce,2019-09-07 13:56:18.000000,23.0,847.0,847.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n340,Chartify,spotify/chartify,,data-viz,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05.000000,2020-12-25 03:48:39.000000,2020-11-02 22:11:04.000000,246.0,40.0,30.0,2803,186.0,Python library that makes it easy for data scientists to create charts.,19.0,24,True,2020-11-02 22:14:08.000000,3.0.3,16.0,chartify,conda-forge/chartify,,,,57.0,52.0,https://pypi.org/project/chartify,2020-11-02 22:14:08.000000,5.0,5643.0,6092.0,https://anaconda.org/conda-forge/chartify,2020-11-07 19:52:50.628000,11686.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n341,DeepChem,deepchem/deepchem,,others,https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000000,2021-01-13 00:00:33.000000,2021-01-13 00:00:31.000000,889.0,326.0,838.0,2654,6023.0,\"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.\",144.0,24,True,2019-10-11 01:49:20.000000,2.3.0,192.0,deepchem,,,,['tensorflow'],38.0,34.0,https://pypi.org/project/deepchem,2021-01-12 20:12:13.000000,4.0,1538.0,1538.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n342,PML,KevinMusgrave/pytorch-metric-learning,,pytorch-utils,https://github.com/KevinMusgrave/pytorch-metric-learning,https://github.com/KevinMusgrave/pytorch-metric-learning,MIT,2019-10-23 17:20:35.000000,2021-01-12 15:47:14.797000,2021-01-12 15:14:36.000000,355.0,34.0,170.0,2617,576.0,\"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.\",12.0,24,True,2021-01-12 14:49:11.000000,0.9.96,140.0,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,,['pytorch'],45.0,45.0,https://pypi.org/project/pytorch-metric-learning,2019-12-27 11:28:11.000000,0.0,3618.0,3707.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2021-01-12 15:47:14.797000,1078.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n343,DoWhy,Microsoft/dowhy,,interpretability,https://github.com/microsoft/dowhy,https://github.com/microsoft/dowhy,MIT,2018-05-31 13:07:04.000000,2020-12-24 16:07:22.000000,2020-12-24 16:07:21.000000,362.0,13.0,78.0,2586,418.0,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,37.0,24,True,2020-12-12 15:26:03.000000,0.5.1,5.0,dowhy,conda-forge/dowhy,,,,24.0,24.0,https://pypi.org/project/dowhy,2020-12-12 15:26:03.000000,,7931.0,8042.0,https://anaconda.org/conda-forge/dowhy,2020-12-13 07:46:12.761000,883.0,,,,,2.0,19.0,,,,,,,,,,,,,,,,,,,\n344,Sumy,miso-belica/sumy,,nlp,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48.000000,2020-11-21 17:08:35.000000,2020-11-21 17:08:33.000000,433.0,10.0,78.0,2465,397.0,Module for automatic summarization of text documents and HTML pages.,20.0,24,True,2019-05-19 14:39:21.000000,0.8.1,13.0,sumy,,,,,817.0,625.0,https://pypi.org/project/sumy,2019-05-19 14:38:29.000000,192.0,5539.0,5539.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n345,einops,arogozhnikov/einops,,ml-frameworks,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08.000000,2021-01-09 20:03:22.000000,2021-01-09 20:03:21.000000,68.0,22.0,39.0,2143,293.0,\"Deep learning operations reinvented (for pytorch, tensorflow, jax and others).\",10.0,24,True,2020-09-08 08:33:29.000000,0.3,3.0,einops,conda-forge/einops,,,,192.0,182.0,https://pypi.org/project/einops,2020-09-08 08:21:26.000000,10.0,11408.0,11623.0,https://anaconda.org/conda-forge/einops,2020-10-15 20:10:19.681000,3451.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n346,Arctic,man-group/arctic,,data-containers,https://github.com/man-group/arctic,https://github.com/man-group/arctic,LGPL-2.1,2015-05-29 13:37:30.000000,2020-12-28 16:10:11.000000,2020-12-28 16:10:10.000000,428.0,84.0,421.0,2136,1066.0,Arctic is a high performance datastore for numeric data.,70.0,24,False,2020-12-01 23:17:26.000000,1.79.4,83.0,arctic,conda-forge/arctic,,,,143.0,101.0,https://pypi.org/project/arctic,2020-12-01 23:16:12.000000,42.0,2323.0,2932.0,https://anaconda.org/conda-forge/arctic,2019-12-16 08:57:24.231000,12161.0,,,,,3.0,85.0,,,,,,,,,,,,,,,,,,,\n347,Hyperas,maxpumperla/hyperas,,hyperopt,https://github.com/maxpumperla/hyperas,https://github.com/maxpumperla/hyperas,MIT,2016-02-19 14:45:10.000000,2020-12-22 08:31:48.000000,2020-12-22 08:31:47.000000,296.0,88.0,158.0,2061,209.0,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,21.0,24,True,2019-02-28 09:16:54.000000,0.4.1,9.0,hyperas,,,,['tensorflow'],21.0,,https://pypi.org/project/hyperas,2019-02-28 09:16:54.000000,21.0,12394.0,12394.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n348,fastNLP,fastnlp/fastNLP,,nlp,https://github.com/fastnlp/fastNLP,https://github.com/fastnlp/fastNLP,Apache-2.0,2018-03-07 13:30:20.000000,2020-12-16 10:04:23.000000,2020-11-23 10:50:37.000000,344.0,14.0,127.0,1966,1706.0,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,48.0,24,True,2020-11-06 15:31:29.000000,0.6.0,10.0,fastnlp,,,,,22.0,21.0,https://pypi.org/project/fastnlp,2019-02-04 02:35:37.000000,1.0,1067.0,1069.0,,,,,,,,2.0,54.0,-1.0,,,,,,,,,,,,,,,,,,\n349,SRU,asappresearch/sru,,pytorch-utils,https://github.com/asappresearch/sru,https://github.com/asappresearch/sru,MIT,2017-08-28 20:37:41.000000,2021-01-08 19:56:04.000000,2020-12-17 19:36:53.000000,279.0,48.0,53.0,1867,378.0,Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755).,21.0,24,True,2020-12-17 19:40:55.000000,2.6.0-rc1,21.0,sru,,,,['pytorch'],16.0,15.0,https://pypi.org/project/sru,2020-12-17 19:41:19.000000,1.0,2103.0,2103.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n350,python_speech_features,jameslyons/python_speech_features,,audio,https://github.com/jameslyons/python_speech_features,https://github.com/jameslyons/python_speech_features,MIT,2013-10-31 02:42:08.000000,2020-12-31 13:27:02.000000,2020-12-31 13:27:01.000000,533.0,23.0,49.0,1828,120.0,This library provides common speech features for ASR including MFCCs and filterbank energies.,18.0,24,True,2020-01-14 14:12:10.000000,0.6.1,6.0,python_speech_features,,,,,300.0,,https://pypi.org/project/python_speech_features,2017-08-16 01:46:13.000000,300.0,53445.0,53445.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n351,polyglot,aboSamoor/polyglot,,nlp,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,GPL-3.0,2014-06-30 02:07:45.000000,2020-10-27 10:55:53.000000,2020-09-22 22:35:28.000000,292.0,132.0,62.0,1745,271.0,Multilingual text (NLP) processing toolkit.,26.0,24,False,2016-07-03 20:05:42.000000,16.7.4,8.0,polyglot,,,,,485.0,420.0,https://pypi.org/project/polyglot,2016-07-03 20:05:42.000000,65.0,39470.0,39470.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n352,Alphalens,quantopian/alphalens,,financial-data,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15.000000,2020-09-05 16:48:14.000000,2020-04-27 18:40:41.000000,622.0,38.0,144.0,1702,522.0,Performance analysis of predictive (alpha) stock factors.,25.0,24,True,2020-04-30 15:42:52.000000,0.4.0,10.0,alphalens,conda-forge/alphalens,,,,360.0,346.0,https://pypi.org/project/alphalens,2020-04-27 21:03:10.000000,14.0,2013.0,2305.0,https://anaconda.org/conda-forge/alphalens,2020-05-16 13:52:44.922000,10231.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n353,pgmpy,pgmpy/pgmpy,,probabilistics,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000000,2021-01-10 12:14:51.000000,2021-01-10 12:14:38.000000,557.0,225.0,493.0,1672,6.0,Python Library for learning (Structure and Parameter) and inference (Statistical and Causal) in Bayesian Networks.,88.0,24,True,2020-12-30 13:56:53.000000,0.1.13,12.0,pgmpy,,,,,189.0,177.0,https://pypi.org/project/pgmpy,2020-12-30 13:01:04.000000,12.0,22549.0,22554.0,,,,,,,,3.0,41.0,,,,,,,,,,,,,,,,,,,\n354,causalml,uber/causalml,,others,https://github.com/uber/causalml,https://github.com/uber/causalml,Apache-2.0,2019-07-09 02:08:58.000000,2021-01-05 02:08:12.000000,2020-12-16 17:45:28.000000,232.0,18.0,126.0,1546,287.0,Uplift modeling and causal inference with machine learning algorithms.,22.0,24,True,2020-10-23 22:53:43.000000,0.9.0,12.0,causalml,,,,,11.0,11.0,https://pypi.org/project/causalml,2020-10-23 22:44:35.000000,,7680.0,7680.0,,,,,,,,2.0,,,,,,,,,True,,,,,,,,,,,\n355,TorchServe,pytorch/serve,,model-serialisation,https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000000,2021-01-09 18:35:46.000000,2020-12-24 17:08:51.000000,216.0,130.0,393.0,1503,1034.0,Model Serving on PyTorch.,61.0,24,True,2020-12-18 01:38:41.000000,0.3.0,6.0,torchserve,pytorch/torchserve,pytorch/torchserve,,['pytorch'],26.0,26.0,https://pypi.org/project/torchserve,2020-12-17 19:04:04.000000,,1487.0,5468.0,https://anaconda.org/pytorch/torchserve,2020-12-17 18:30:12.593000,5857.0,https://hub.docker.com/r/pytorch/torchserve,2020-12-18 18:32:51.570336,3.0,49707.0,2.0,170.0,,,,,,,,,,,,,,,,,,,\n356,PyTextRank,DerwenAI/pytextrank,,nlp,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000000,2020-11-18 14:09:32.000000,2020-09-21 19:22:46.000000,280.0,16.0,37.0,1385,147.0,Python implementation of TextRank for phrase extraction and summarization of text documents.,10.0,24,True,2020-09-15 16:51:59.000000,2.0.3,10.0,pytextrank,,,,,126.0,120.0,https://pypi.org/project/pytextrank,2020-09-15 16:51:59.000000,6.0,11725.0,11725.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n357,mtcnn,ipazc/mtcnn,,image,https://github.com/ipazc/mtcnn,https://github.com/ipazc/mtcnn,MIT,2018-01-05 04:08:32.000000,2020-12-13 18:20:00.000000,2020-06-07 23:21:01.000000,373.0,53.0,36.0,1355,52.0,\"MTCNN face detection implementation for TensorFlow, as a PIP package.\",13.0,24,True,2019-11-14 17:37:05.000000,0.1.0,10.0,mtcnn,,,,['tensorflow'],847.0,805.0,https://pypi.org/project/mtcnn,2019-11-14 17:37:05.000000,42.0,13143.0,13143.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n358,IB-insync,erdewit/ib_insync,,financial-data,https://github.com/erdewit/ib_insync,https://github.com/erdewit/ib_insync,BSD-2-Clause,2017-07-12 12:09:24.000000,2021-01-12 09:49:43.000000,2021-01-12 09:49:36.000000,375.0,3.0,279.0,1193,547.0,Python sync/async framework for Interactive Brokers API.,25.0,24,True,2020-11-03 13:37:57.000000,0.9.64,89.0,ib_insync,conda-forge/ib-insync,,,,12.0,,https://pypi.org/project/ib_insync,2020-11-03 13:37:57.000000,12.0,3015.0,3407.0,https://anaconda.org/conda-forge/ib-insync,2020-11-07 23:30:42.910000,7061.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n359,Fairness 360,Trusted-AI/AIF360,,interpretability,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15.000000,2021-01-11 17:41:06.000000,2021-01-08 22:35:09.000000,382.0,35.0,46.0,1189,290.0,\"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..\",40.0,24,True,2020-06-02 22:59:53.000000,0.3.0,8.0,aif360,,,,,64.0,62.0,https://pypi.org/project/aif360,2020-06-02 22:49:24.000000,2.0,2603.0,2603.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n360,petastorm,uber/petastorm,,distributed-ml,https://github.com/uber/petastorm,https://github.com/uber/petastorm,Apache-2.0,2018-06-15 23:15:29.000000,2021-01-06 16:11:18.000000,2020-12-15 18:18:41.000000,176.0,121.0,110.0,1043,612.0,Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets..,37.0,24,True,2020-12-15 18:37:49.000000,0.9.8,64.0,petastorm,,,,,24.0,24.0,https://pypi.org/project/petastorm,2020-12-15 18:37:49.000000,,20845.0,20854.0,,,,,,,,2.0,288.0,,,,,,,,True,,,,,,,,,,,\n361,Streamz,python-streamz/streamz,,time-series-data,https://github.com/python-streamz/streamz,https://github.com/python-streamz/streamz,BSD-3-Clause,2017-04-04 21:45:49.000000,2021-01-12 17:16:57.000000,2021-01-12 17:16:56.000000,111.0,89.0,126.0,895,731.0,Real-time stream processing for python.,38.0,24,True,2020-11-02 14:53:29.000000,0.6.1,14.0,streamz,conda-forge/streamz,,,,198.0,182.0,https://pypi.org/project/streamz,2020-11-02 14:53:29.000000,16.0,2068.0,4665.0,https://anaconda.org/conda-forge/streamz,2020-11-03 14:52:05.793000,103895.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n362,PySAL,pysal/pysal,,geospatial-data,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42.000000,2021-01-12 22:18:28.000000,2021-01-12 22:18:27.000000,241.0,58.0,570.0,808,4071.0,PySAL: Python Spatial Analysis Library Meta-Package.,70.0,24,True,2020-07-30 03:12:31.000000,2.3.0,24.0,pysal,conda-forge/pysal,,,,18.0,,https://pypi.org/project/pysal,2020-07-30 03:12:31.000000,18.0,10425.0,17744.0,https://anaconda.org/conda-forge/pysal,2020-07-30 10:24:58.290000,395253.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n363,kmodes,nicodv/kmodes,,others,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40.000000,2020-11-04 05:52:59.000000,2020-11-04 05:52:58.000000,336.0,19.0,106.0,797,448.0,\"Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data.\",16.0,24,True,2020-02-25 21:38:29.000000,0.10.2,12.0,kmodes,,,,,421.0,408.0,https://pypi.org/project/kmodes,2020-02-25 21:30:28.000000,13.0,51083.0,51083.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n364,ffn,pmorissette/ffn,,financial-data,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09.000000,2020-12-24 03:15:18.000000,2020-12-18 01:00:27.000000,172.0,17.0,58.0,739,301.0,ffn - a financial function library for Python.,23.0,24,True,2018-05-28 14:01:56.000000,0.3.4,25.0,ffn,,,,,112.0,96.0,https://pypi.org/project/ffn,2018-05-28 14:01:56.000000,16.0,12444.0,12444.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n365,ktrain,amaiya/ktrain,,ml-frameworks,https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39.000000,2021-01-09 02:06:16.000000,2020-12-26 22:34:52.000000,170.0,8.0,283.0,712,2137.0,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,12.0,24,True,2020-12-23 23:20:12.000000,0.25.3,145.0,ktrain,,,,['tensorflow'],111.0,110.0,https://pypi.org/project/ktrain,2020-12-05 17:43:35.000000,1.0,5727.0,5727.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n366,GPyOpt,SheffieldML/GPyOpt,,hyperopt,https://github.com/SheffieldML/GPyOpt,https://github.com/SheffieldML/GPyOpt,BSD-3-Clause,2014-08-13 09:58:25.000000,2020-11-17 10:32:02.000000,2020-11-05 15:16:04.000000,216.0,100.0,186.0,702,514.0,Gaussian Process Optimization using GPy.,49.0,24,True,2020-03-19 21:21:18.000000,1.2.6,11.0,gpyopt,,,,,200.0,164.0,https://pypi.org/project/gpyopt,2020-03-19 11:37:45.000000,36.0,4249.0,4249.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n367,pythreejs,jupyter-widgets/pythreejs,,data-viz,https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,BSD-3-Clause,2013-12-23 17:02:11.000000,2021-01-07 12:54:00.000000,2020-10-09 09:41:09.000000,156.0,59.0,136.0,695,1594.0,A Jupyter - Three.js bridge.,24.0,24,True,2020-03-19 11:32:37.000000,2.2.1,42.0,pythreejs,conda-forge/pythreejs,,,['jupyter'],36.0,15.0,https://pypi.org/project/pythreejs,2020-10-09 09:40:47.000000,13.0,5789.0,14472.0,https://anaconda.org/conda-forge/pythreejs,2020-10-12 12:24:08.446000,257445.0,,,,,3.0,,,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,2020-03-19 11:22:13.041000,8.0,4086.0,,,,,,,,,,,,\n368,PennyLane,PennyLaneAI/PennyLane,,others,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000000,2021-01-12 22:30:42.000000,2021-01-12 16:46:06.000000,206.0,50.0,222.0,692,1747.0,PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum..,39.0,24,True,2020-12-22 16:10:22.000000,0.13.0-post2,18.0,pennylane,,,,,20.0,,https://pypi.org/project/pennylane,2020-11-27 18:07:34.000000,20.0,2352.0,2354.0,,,,,,,,2.0,52.0,,,,,,,,,,,,,,,,,,,\n369,Singer,singer-io/getting-started,,data-loading,https://github.com/singer-io/getting-started,https://github.com/singer-io/getting-started,AGPL-3.0,2016-10-31 16:53:56.000000,2020-12-04 20:57:23.000000,2020-12-04 20:57:19.000000,94.0,20.0,16.0,665,173.0,\"Standard for moving data between databases, web APIs, files, queues, and just about anything else you can think of.\",26.0,24,False,2019-11-04 21:43:38.000000,5.9.1,100.0,singer-python,,,,,300.0,,https://pypi.org/project/singer-python,2020-10-27 17:49:47.000000,300.0,60957.0,60957.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n370,CLTK,cltk/cltk,,nlp,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000000,2021-01-09 23:56:41.000000,2021-01-09 23:56:40.000000,297.0,125.0,357.0,628,2771.0,The Classical Language Toolkit.,107.0,24,True,2020-06-22 06:03:33.000000,0.1.121,160.0,cltk,,,,,216.0,148.0,https://pypi.org/project/cltk,2021-01-01 18:03:05.000000,68.0,1064.0,1064.0,,,,,,,,2.0,22.0,-1.0,,,,,,,,,,,,,,,,,,\n371,pyjanitor,ericmjl/pyjanitor,,others,https://github.com/ericmjl/pyjanitor,https://github.com/ericmjl/pyjanitor,MIT,2018-03-04 22:43:33.000000,2021-01-05 02:29:48.000000,2020-12-31 02:32:49.000000,118.0,90.0,278.0,614,1162.0,Clean APIs for data cleaning. Python implementation of R package Janitor.,87.0,24,True,2020-10-03 12:24:35.000000,0.20.10,46.0,pyjanitor,conda-forge/pyjanitor,,,,74.0,72.0,https://pypi.org/project/pyjanitor,2020-10-03 12:24:35.000000,2.0,1494.0,3739.0,https://anaconda.org/conda-forge/pyjanitor,2020-10-04 12:30:53.707000,76347.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n372,pyahocorasick,WojciechMula/pyahocorasick,,nlp,https://github.com/WojciechMula/pyahocorasick,https://github.com/WojciechMula/pyahocorasick,BSD-3-Clause,2013-05-30 19:55:46.000000,2021-01-12 22:10:37.000000,2021-01-12 19:08:10.000000,86.0,31.0,65.0,567,397.0,Python module (C extension and plain python) implementing Aho-Corasick algorithm.,20.0,24,True,2018-12-20 19:06:01.000000,1.4.0,22.0,pyahocorasick,conda-forge/pyahocorasick,,,,532.0,468.0,https://pypi.org/project/pyahocorasick,2019-01-14 16:20:13.000000,64.0,93799.0,96674.0,https://anaconda.org/conda-forge/pyahocorasick,2020-10-13 12:20:05.350000,106410.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n373,Hub,activeloopai/Hub,,ml-experiments,https://github.com/activeloopai/Hub,https://github.com/activeloopai/Hub,MPL-2.0,2018-03-16 17:41:09.422000,2021-01-12 22:15:45.000000,2021-01-12 16:13:10.000000,108.0,72.0,94.0,545,1418.0,The fastest way to access and manage datasets for PyTorch and TensorFlow. Easily build scalable data pipelines...,47.0,24,True,2021-01-10 20:05:43.000000,1.1.0,76.0,hub,conda-forge/hub,,,,166.0,114.0,https://pypi.org/project/hub,2021-01-10 19:56:14.000000,52.0,1329.0,4053.0,https://anaconda.org/conda-forge/hub,2020-04-22 15:22:17.632000,92628.0,,,,,2.0,,,,,,,,,True,,,,,,,,,,,\n374,Intake,intake/intake,,data-loading,https://github.com/intake/intake,https://github.com/intake/intake,BSD-2-Clause,2017-08-14 20:44:22.000000,2021-01-11 17:28:51.000000,2020-12-16 20:19:01.000000,91.0,75.0,189.0,516,1612.0,\"Intake is a lightweight package for finding, investigating, loading and disseminating data.\",51.0,24,True,2020-06-03 19:03:40.000000,0.6.0,19.0,intake,conda-forge/intake,,,,289.0,215.0,https://pypi.org/project/intake,2020-06-03 19:03:40.000000,74.0,2623.0,4728.0,https://anaconda.org/conda-forge/intake,2020-06-03 19:49:52.133000,54742.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n375,combo,yzhao062/combo,,sklearn-utils,https://github.com/yzhao062/combo,https://github.com/yzhao062/combo,BSD-2-Clause,2019-07-14 01:13:36.000000,2020-12-23 14:27:11.000000,2020-12-23 14:27:05.000000,80.0,7.0,3.0,470,201.0,A Python Toolbox for Machine Learning Model Combination.,1.0,24,True,2020-12-23 02:21:49.000000,0.1.2,12.0,combo,,,,\"['sklearn', 'xgboost']\",247.0,247.0,https://pypi.org/project/combo,2020-12-23 02:21:49.000000,0.0,79640.0,79640.0,,,,,,,,2.0,,,,,,,,,True,,,,,,,,,,,\n376,SALib,SALib/SALib,,probabilistics,https://github.com/SALib/SALib,https://github.com/SALib/SALib,MIT,2013-05-30 13:38:10.000000,2020-12-06 14:44:08.000000,2020-11-12 15:10:34.000000,136.0,41.0,179.0,421,907.0,\"Sensitivity Analysis Library in Python (Numpy). Contains Sobol, Morris, Fractional Factorial and FAST methods.\",23.0,24,True,2020-11-12 17:13:12.000000,1.3.12,29.0,salib,conda-forge/salib,,,,44.0,,https://pypi.org/project/salib,2020-11-19 15:36:26.000000,44.0,13094.0,14223.0,https://anaconda.org/conda-forge/salib,2020-10-24 17:04:41.614000,56465.0,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n377,findspark,minrk/findspark,,others,https://github.com/minrk/findspark,https://github.com/minrk/findspark,BSD-3-Clause,2015-06-12 21:34:06.000000,2020-06-08 09:32:35.000000,2020-06-08 09:31:58.000000,63.0,11.0,8.0,384,67.0,Find pyspark to make it importable.,14.0,24,True,2020-06-08 09:32:23.000000,1.4.2,12.0,findspark,conda-forge/findspark,,,['spark'],1648.0,1446.0,https://pypi.org/project/findspark,2020-06-08 09:32:23.000000,202.0,559922.0,568614.0,https://anaconda.org/conda-forge/findspark,2018-07-06 12:57:33.438000,478064.0,,,,,2.0,,,,,,,,,True,,,,,,,,,,,\n378,sklearn-crfsuite,TeamHG-Memex/sklearn-crfsuite,,sklearn-utils,https://github.com/TeamHG-Memex/sklearn-crfsuite,https://github.com/TeamHG-Memex/sklearn-crfsuite,MIT,2015-11-26 21:15:41.000000,2020-12-30 08:00:27.000000,2019-12-05 08:17:22.000000,153.0,34.0,20.0,354,46.0,scikit-learn inspired API for CRFsuite.,6.0,24,False,2017-06-22 18:49:27.000000,0.3.6,9.0,sklearn-crfsuite,,,,['sklearn'],2773.0,2377.0,https://pypi.org/project/sklearn-crfsuite,2017-06-22 18:49:27.000000,396.0,39494.0,39494.0,,,,,,,,2.0,,,,,,,,,True,,,,,,,,,,,\n379,GeoViews,holoviz/geoviews,,geospatial-data,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000000,2020-11-13 20:59:34.000000,2020-09-21 16:31:16.000000,60.0,77.0,169.0,326,635.0,\"Simple, concise geographical visualization in Python.\",21.0,24,True,2020-09-23 18:59:07.000000,1.8.0,21.0,geoviews,conda-forge/geoviews,,,,196.0,186.0,https://pypi.org/project/geoviews,2020-03-30 19:17:21.000000,10.0,1172.0,2750.0,https://anaconda.org/conda-forge/geoviews,2020-09-23 20:06:48.808000,53669.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n380,ml-metadata,google/ml-metadata,,ml-experiments,https://github.com/google/ml-metadata,https://github.com/google/ml-metadata,Apache-2.0,2019-01-15 21:02:09.000000,2021-01-08 22:34:14.000000,2021-01-08 22:34:10.000000,56.0,15.0,39.0,242,451.0,For recording and retrieving metadata associated with ML developer and data scientist workflows.,11.0,24,True,2020-12-15 18:49:42.000000,0.26.0,21.0,ml-metadata,,,,,61.0,61.0,https://pypi.org/project/ml-metadata,2020-12-15 18:49:42.000000,0.0,312742.0,312796.0,,,,,,,,2.0,1190.0,,,,,,,,,,,,,,,,,,,\n381,datalad,datalad/datalad,,others,https://github.com/datalad/datalad,https://github.com/datalad/datalad,MIT,2013-11-01 19:40:08.000000,2021-01-12 22:52:30.000000,2021-01-12 19:11:58.000000,68.0,711.0,2175.0,220,13242.0,\"Keep code, data, containers under control with git and git-annex.\",40.0,24,True,2021-01-04 16:19:04.000000,0.13.7,62.0,datalad,conda-forge/datalad,,,,26.0,,https://pypi.org/project/datalad,2020-12-14 16:07:46.000000,26.0,1231.0,3473.0,https://anaconda.org/conda-forge/datalad,2021-01-04 20:08:46.439000,76251.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n382,Facets Overview,pair-code/facets,,data-viz,https://github.com/PAIR-code/facets,https://github.com/PAIR-code/facets,Apache-2.0,2017-07-07 14:03:03.000000,2020-10-27 19:51:23.000000,2020-10-27 19:51:22.000000,790.0,71.0,75.0,6474,259.0,Visualizations for machine learning datasets.,27.0,23,True,2019-07-24 15:33:29.000000,0.9.1,4.0,facets-overview,,,,['jupyter'],37.0,37.0,https://pypi.org/project/facets-overview,2019-07-24 15:33:29.000000,,28537.0,28537.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n383,Ciphey,Ciphey/Ciphey,,nlp,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39.000000,2021-01-06 02:13:57.000000,2021-01-02 23:37:52.000000,333.0,45.0,170.0,6097,1726.0,\"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.\",38.0,23,True,2020-12-02 12:36:44.000000,5.11.0,43.0,ciphey,,remnux/ciphey,,,,,https://pypi.org/project/ciphey,2020-12-02 12:36:44.000000,,4501.0,4903.0,,,,https://hub.docker.com/r/remnux/ciphey,2020-12-17 02:51:41.340501,1.0,7241.0,3.0,,,,,,,,,,,,,,,,,,,,\n384,EfficientNet-PyTorch,lukemelas/EfficientNet-PyTorch,,pytorch-utils,https://github.com/lukemelas/EfficientNet-PyTorch,https://github.com/lukemelas/EfficientNet-PyTorch,Apache-2.0,2019-05-30 05:24:11.000000,2020-12-28 15:43:30.000000,2020-10-09 16:24:04.000000,1033.0,102.0,117.0,5318,141.0,A PyTorch implementation of EfficientNet.,21.0,23,True,2020-08-26 03:00:05.000000,0.7.0,12.0,efficientnet-pytorch,,,,['pytorch'],7.0,,https://pypi.org/project/efficientnet-pytorch,2020-08-26 03:00:05.000000,7.0,30046.0,58931.0,,,,,,,,2.0,288850.0,,,,,,,,,,,,,,,,,,,\n385,snownlp,isnowfy/snownlp,,chinese-nlp,https://github.com/isnowfy/snownlp,https://github.com/isnowfy/snownlp,MIT,2013-11-26 11:46:56.000000,2020-01-19 02:39:05.000000,2020-01-19 02:39:03.000000,1231.0,33.0,65.0,5228,57.0,Python library for processing Chinese text.,8.0,23,True,2015-09-27 16:35:23.000000,0.12.3,17.0,snownlp,,,,,539.0,501.0,https://pypi.org/project/snownlp,2015-09-27 16:35:23.000000,38.0,3804.0,3804.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n386,Apex,NVIDIA/apex,,gpu-utilities,https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000000,2021-01-11 23:15:42.000000,2020-12-17 17:18:43.000000,656.0,425.0,359.0,4935,828.0,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,77.0,23,True,,,1.0,,conda-forge/nvidia-apex,,,['pytorch'],417.0,417.0,,,,,1902.0,https://anaconda.org/conda-forge/nvidia-apex,2020-11-23 18:41:00.769000,28534.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n387,flashtext,vi3k6i5/flashtext,,nlp,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01.000000,2020-06-05 00:37:46.000000,2020-05-03 07:13:22.000000,521.0,48.0,49.0,4605,108.0,Extract Keywords from sentence or Replace keywords in sentences.,8.0,23,True,,,18.0,flashtext,,,,,365.0,333.0,https://pypi.org/project/flashtext,2018-02-16 05:24:17.000000,32.0,232411.0,232411.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n388,Face Alignment,1adrianb/face-alignment,,image,https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44.000000,2020-12-30 17:11:07.000000,2020-12-30 17:11:06.000000,1002.0,30.0,189.0,4598,196.0,2D and 3D Face alignment library build using pytorch.,21.0,23,True,2020-12-22 21:34:55.000000,1.3.3,9.0,face-alignment,,,,['pytorch'],6.0,,https://pypi.org/project/face-alignment,2020-12-22 21:34:55.000000,6.0,5009.0,5009.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n389,PaddleHub,PaddlePaddle/PaddleHub,,others,https://github.com/PaddlePaddle/PaddleHub,https://github.com/PaddlePaddle/PaddleHub,Apache-2.0,2018-12-21 06:00:48.000000,2021-01-12 10:03:32.000000,2021-01-07 06:34:12.000000,981.0,254.0,373.0,4398,,\"Awesome pre-trained models toolkit based on PaddlePaddle.180+ models including Image, Text, Audio and Video with Easy..\",32.0,23,True,2021-01-06 12:04:54.000000,2.0.0-rc0,39.0,paddlehub,,,,['paddle'],77.0,77.0,https://pypi.org/project/paddlehub,2021-01-06 11:57:01.000000,0.0,1784.0,1803.0,,,,,,,,3.0,430.0,,,,,,,,,,,,,,,,,,,\n390,textgenrnn,minimaxir/textgenrnn,,nlp,https://github.com/minimaxir/textgenrnn,https://github.com/minimaxir/textgenrnn,MIT,2017-08-07 02:13:37.000000,2020-12-25 03:33:19.000000,2020-07-14 02:41:10.000000,654.0,107.0,79.0,4218,174.0,Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines..,19.0,23,True,2020-02-03 01:07:00.000000,2.0.0,14.0,textgenrnn,,,,['tensorflow'],591.0,577.0,https://pypi.org/project/textgenrnn,2020-02-02 21:16:15.000000,14.0,1020.0,1031.0,,,,,,,,3.0,388.0,,,,,,,,,,,,,,,,,,,\n391,DeepSpeed,microsoft/DeepSpeed,,distributed-ml,https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,MIT,2020-01-23 18:35:18.000000,2021-01-12 18:29:48.000000,2021-01-12 18:18:34.000000,350.0,103.0,149.0,3913,392.0,\"DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.\",37.0,23,True,2021-01-12 18:17:34.000000,0.3.10,18.0,deepspeed,,deepspeed/deepspeed,,['pytorch'],8.0,8.0,https://pypi.org/project/deepspeed,2021-01-08 21:03:38.000000,,1431.0,1980.0,,,,https://hub.docker.com/r/deepspeed/deepspeed,2020-11-20 00:17:12.819964,2.0,6588.0,3.0,,,,,,,,,,,,,,,,,,,,\n392,neon,NervanaSystems/neon,,ml-frameworks,https://github.com/NervanaSystems/neon,https://github.com/NervanaSystems/neon,Apache-2.0,2014-10-16 01:00:17.000000,2020-12-23 01:21:42.000000,2019-05-22 18:27:54.000000,848.0,87.0,305.0,3854,1118.0,Intel Nervana reference deep learning framework committed to best performance on all hardware.,109.0,23,False,2018-01-05 23:25:04.000000,2.6.0,32.0,nervananeon,,,,,38.0,38.0,https://pypi.org/project/nervananeon,2018-01-05 23:25:04.000000,,149.0,152.0,,,,,,,,3.0,255.0,,,,,,,,True,,,,,,,,,,,\n393,Great Expectations,great-expectations/great_expectations,,data-pipelines,https://github.com/great-expectations/great_expectations,https://github.com/great-expectations/great_expectations,Apache-2.0,2017-09-11 00:18:46.000000,2021-01-12 23:12:16.000000,2021-01-12 16:06:08.000000,376.0,153.0,587.0,3372,,Always know what to expect from your data.,138.0,23,True,2020-12-23 01:56:12.000000,0.13.4,95.0,great_expectations,,,,,6.0,,https://pypi.org/project/great_expectations,2020-12-23 01:50:41.000000,6.0,353731.0,353731.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n394,VisualDL,PaddlePaddle/VisualDL,,ml-experiments,https://github.com/PaddlePaddle/VisualDL,https://github.com/PaddlePaddle/VisualDL,Apache-2.0,2017-12-20 12:34:31.000000,2021-01-08 11:22:24.000000,2021-01-08 11:22:23.000000,438.0,23.0,311.0,3184,,Deep Learning Visualization Toolkit.,27.0,23,True,2020-12-29 13:20:08.000000,2.1.0,30.0,visualdl,,,,['paddle'],140.0,130.0,https://pypi.org/project/visualdl,2020-12-29 09:00:11.000000,10.0,4999.0,5008.0,,,,,,,,3.0,65.0,,,,,,,,,,,,,,,,,,,\n395,PyAlgoTrade,gbeced/pyalgotrade,,financial-data,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54.000000,2020-12-24 18:41:56.000000,2018-08-21 02:42:52.000000,1139.0,38.0,81.0,3118,1156.0,Python Algorithmic Trading Library.,11.0,23,False,,,8.0,pyalgotrade,,,,,88.0,67.0,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25.000000,21.0,706.0,706.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n396,Camelot,atlanhq/camelot,,data-loading,https://github.com/atlanhq/camelot,https://github.com/atlanhq/camelot,MIT,2016-06-18 11:48:49.000000,2020-07-27 12:28:15.000000,2019-10-15 05:25:40.000000,301.0,61.0,273.0,2962,446.0,Camelot: PDF Table Extraction for Humans.,23.0,23,False,2020-07-27 12:28:15.000000,0.8.2,21.0,camelot-py,,,,,10.0,,https://pypi.org/project/camelot-py,2020-07-27 12:28:15.000000,10.0,22558.0,22558.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n397,segmentation_models,qubvel/segmentation_models,,image,https://github.com/qubvel/segmentation_models,https://github.com/qubvel/segmentation_models,MIT,2018-06-05 13:27:56.000000,2020-12-13 13:48:40.000000,2020-04-17 09:51:20.000000,665.0,140.0,234.0,2854,204.0,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,14.0,23,True,2020-01-10 11:36:02.000000,1.0.1,8.0,segmentation_models,,,,['tensorflow'],12.0,,https://pypi.org/project/segmentation_models,2020-01-10 11:36:02.000000,12.0,14816.0,14816.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n398,xLearn,aksnzhy/xlearn,,ml-frameworks,https://github.com/aksnzhy/xlearn,https://github.com/aksnzhy/xlearn,Apache-2.0,2017-06-10 08:09:31.000000,2020-07-06 19:54:25.000000,2020-03-03 10:12:35.000000,479.0,177.0,107.0,2820,1340.0,\"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..\",30.0,23,True,2019-04-25 02:10:05.000000,0.4.4,15.0,xlearn,,,,,40.0,39.0,https://pypi.org/project/xlearn,2018-12-04 11:05:06.000000,1.0,6972.0,7037.0,,,,,,,,3.0,2232.0,,,,,,,,,,,,,,,,,,,\n399,SHOGUN,shogun-toolbox/shogun,,ml-frameworks,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32.000000,2021-01-07 15:32:58.000000,2020-12-08 16:56:38.000000,1014.0,544.0,1067.0,2785,16205.0,Unified and efficient Machine Learning.,248.0,23,True,2019-07-05 10:23:31.000000,shogun_6.1.4,10.0,,conda-forge/shogun,shogun/shogun,,,,,,,,,2144.0,https://anaconda.org/conda-forge/shogun,2018-06-25 20:49:17.070000,89563.0,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1440.0,3.0,,,,,,,,,,,shogun,,,,,,,,,\n400,keras-vis,raghakot/keras-vis,,interpretability,https://github.com/raghakot/keras-vis,https://github.com/raghakot/keras-vis,MIT,2016-11-11 23:27:34.000000,2020-04-20 01:03:13.000000,2020-04-20 01:03:12.000000,583.0,113.0,99.0,2773,195.0,Neural network visualization toolkit for keras.,10.0,23,True,2017-07-06 04:55:04.000000,0.4.1,11.0,keras-vis,,,,['tensorflow'],678.0,650.0,https://pypi.org/project/keras-vis,2017-07-06 04:55:04.000000,28.0,2264.0,2264.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n401,MMLSpark,Azure/mmlspark,,distributed-ml,https://github.com/Azure/mmlspark,https://github.com/Azure/mmlspark,MIT,2017-06-05 08:23:44.000000,2021-01-12 16:26:10.000000,2021-01-09 00:55:27.000000,467.0,171.0,212.0,2225,767.0,Microsoft Machine Learning for Apache Spark.,61.0,23,True,2020-10-02 19:36:01.000000,1.0.0-rc3,17.0,mmlspark,,,,['spark'],,,https://pypi.org/project/mmlspark,2020-03-18 01:27:31.000000,,22884.0,22884.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n402,neuralcoref,huggingface/neuralcoref,,nlp,https://github.com/huggingface/neuralcoref,https://github.com/huggingface/neuralcoref,MIT,2017-07-03 13:04:16.000000,2020-12-29 21:22:55.000000,2020-12-29 21:22:53.000000,375.0,40.0,214.0,2166,113.0,Fast Coreference Resolution in spaCy with Neural Networks.,20.0,23,True,2019-04-08 11:28:27.000000,4.0.0,5.0,neuralcoref,conda-forge/neuralcoref,,,,282.0,273.0,https://pypi.org/project/neuralcoref,2019-04-08 08:53:12.000000,9.0,2990.0,3505.0,https://anaconda.org/conda-forge/neuralcoref,2020-02-21 22:10:40.453000,5641.0,,,,,3.0,161.0,,,,,,,,,,,,,,,,,,,\n403,ClearML,allegroai/clearml,,ml-experiments,https://github.com/allegroai/clearml,https://github.com/allegroai/clearml,Apache-2.0,2019-06-10 08:18:32.000000,2021-01-12 18:23:41.000000,2021-01-12 18:23:26.000000,292.0,90.0,151.0,2095,994.0,\"ClearML - Auto-Magical Suite of tools to streamline your ML workflow. Experiment Manager, ML-Ops and Data-Management.\",24.0,23,True,2021-01-11 18:27:44.000000,0.17.3,38.0,clearml,,allegroai/trains,,,7.0,7.0,https://pypi.org/project/clearml,2021-01-11 18:07:55.000000,0.0,986.0,2572.0,,,,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,29901.0,3.0,254.0,,,,,,,,,,,,,,,,,,,\n404,scikit-plot,reiinakano/scikit-plot,,interpretability,https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59.000000,2020-07-22 16:19:25.000000,2018-08-19 12:37:47.000000,242.0,21.0,38.0,2018,130.0,An intuitive library to add plotting functionality to scikit-learn objects.,13.0,23,False,2018-08-19 12:21:01.000000,0.3.7,27.0,scikit-plot,conda-forge/scikit-plot,,,['sklearn'],724.0,697.0,https://pypi.org/project/scikit-plot,2018-08-19 12:18:46.000000,27.0,39374.0,41252.0,https://anaconda.org/conda-forge/scikit-plot,2019-06-05 14:23:59.043000,78879.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n405,ART,Trusted-AI/adversarial-robustness-toolbox,,adversarial,https://github.com/Trusted-AI/adversarial-robustness-toolbox,https://github.com/Trusted-AI/adversarial-robustness-toolbox,MIT,2018-03-15 14:40:43.000000,2021-01-11 20:21:19.000000,2021-01-11 13:39:25.000000,560.0,66.0,327.0,1949,,\"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..\",59.0,23,True,2021-01-09 02:13:17.000000,1.5.1,27.0,adversarial-robustness-toolbox,,,,,98.0,98.0,https://pypi.org/project/adversarial-robustness-toolbox,2021-01-09 02:13:17.000000,0.0,1754.0,1754.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n406,Enigma Catalyst,enigmampc/catalyst,,financial-data,https://github.com/enigmampc/catalyst,https://github.com/enigmampc/catalyst,Apache-2.0,2017-06-13 22:31:34.000000,2021-01-05 19:10:30.000000,2020-12-28 10:58:58.000000,589.0,134.0,363.0,1926,6362.0,An Algorithmic Trading Library for Crypto-Assets in Python.,144.0,23,True,2018-09-13 15:09:58.000000,0.5.21,52.0,enigma-catalyst,,,,,20.0,20.0,https://pypi.org/project/enigma-catalyst,2018-11-11 16:46:28.000000,,376.0,376.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n407,Acme,deepmind/acme,,reinforcement-learning,https://github.com/deepmind/acme,https://github.com/deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000000,2021-01-11 15:28:45.000000,2021-01-11 15:28:14.000000,177.0,37.0,44.0,1862,326.0,A library of reinforcement learning components and agents.,29.0,23,True,2020-10-23 15:59:12.000000,0.2.0,8.0,dm-acme,,,,['tensorflow'],16.0,16.0,https://pypi.org/project/dm-acme,2020-07-24 13:03:30.000000,,493.0,493.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n408,Essentia,MTG/essentia,,audio,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000000,2021-01-12 20:52:43.000000,2021-01-12 20:52:01.000000,389.0,281.0,558.0,1702,2698.0,\"C++ library for audio and music analysis, description and synthesis, including Python bindings.\",69.0,23,False,2015-03-31 16:33:30.000000,2.0,8.0,essentia,,,,,148.0,143.0,https://pypi.org/project/essentia,2020-04-22 16:31:02.000000,5.0,1098.0,1098.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n409,GluonTS,awslabs/gluon-ts,,time-series-data,https://github.com/awslabs/gluon-ts,https://github.com/awslabs/gluon-ts,Apache-2.0,2019-05-15 17:17:29.000000,2021-01-12 21:07:17.000000,2021-01-12 14:16:49.000000,355.0,180.0,340.0,1663,631.0,Probabilistic time series modeling in Python.,67.0,23,True,2020-12-08 15:07:54.000000,0.6.4,27.0,gluonts,,,,['mxnet'],,,https://pypi.org/project/gluonts,2020-12-08 15:07:54.000000,,21430.0,21430.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n410,Spektral,danielegrattarola/spektral,,graph,https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10.000000,2021-01-11 11:24:54.000000,2021-01-11 11:24:48.000000,184.0,22.0,91.0,1570,447.0,Graph Neural Networks with Keras and Tensorflow 2.,16.0,23,True,2021-01-07 18:03:04.000000,1.0.4,27.0,spektral,,,,\"['tensorflow\"\"']\",26.0,26.0,https://pypi.org/project/spektral,2021-01-07 18:03:04.000000,0.0,2758.0,2758.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n411,vidgear,abhiTronix/vidgear,,image,https://github.com/abhiTronix/vidgear,https://github.com/abhiTronix/vidgear,Apache-2.0,2019-03-17 02:42:42.000000,2021-01-11 16:43:05.000000,2021-01-01 04:26:42.000000,113.0,4.0,128.0,1557,547.0,High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features.,5.0,23,True,2021-01-01 07:57:09.000000,0.2.0,12.0,vidgear,,,,,79.0,77.0,https://pypi.org/project/vidgear,2021-01-01 07:57:09.000000,2.0,1427.0,1440.0,,,,,,,,3.0,295.0,,,,,,,,True,,,,,,,,,,,\n412,Pillow-SIMD,uploadcare/pillow-simd,,image,https://github.com/uploadcare/pillow-simd,https://github.com/uploadcare/pillow-simd,PIL,2014-11-12 15:33:02.000000,2020-11-03 07:45:01.000000,2020-06-02 14:50:14.000000,65.0,11.0,53.0,1527,,The friendly PIL fork.,310.0,23,False,2020-01-02 05:19:26.000000,7.0.0,35.0,pillow-simd,,,,,403.0,353.0,https://pypi.org/project/pillow-simd,2020-01-26 14:30:27.000000,50.0,9731.0,9731.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n413,Multicore-TSNE,DmitryUlyanov/Multicore-TSNE,,data-viz,https://github.com/DmitryUlyanov/Multicore-TSNE,https://github.com/DmitryUlyanov/Multicore-TSNE,BSD-3-Clause,2016-10-19 05:46:52.000000,2020-12-20 08:15:51.000000,2020-08-19 14:58:00.000000,191.0,33.0,20.0,1518,113.0,Parallel t-SNE implementation with Python and Torch wrappers.,15.0,23,True,2017-11-08 13:32:20.000000,0.0.1,2.0,MulticoreTSNE,conda-forge/multicore-tsne,,,['pytorch'],214.0,200.0,https://pypi.org/project/MulticoreTSNE,2017-11-08 16:03:07.000000,14.0,2880.0,3103.0,https://anaconda.org/conda-forge/multicore-tsne,2018-11-12 17:08:01.525000,5822.0,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n414,Elephas,maxpumperla/elephas,,distributed-ml,https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19.000000,2021-01-07 00:52:09.000000,2020-12-29 06:35:21.000000,286.0,51.0,80.0,1434,338.0,Distributed Deep learning with Keras & Spark.,25.0,23,True,2021-01-07 00:52:09.000000,0.4.5,11.0,elephas,,,,\"['keras', 'spark']\",3.0,,https://pypi.org/project/elephas,2021-01-07 00:52:09.000000,3.0,7916.0,7916.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n415,sklearn-contrib-lightning,scikit-learn-contrib/lightning,,sklearn-utils,https://github.com/scikit-learn-contrib/lightning,https://github.com/scikit-learn-contrib/lightning,BSD-3-Clause,2012-01-11 13:53:52.000000,2021-01-05 05:54:02.000000,2021-01-04 18:02:23.000000,188.0,49.0,36.0,1422,700.0,\"Large-scale linear classification, regression and ranking in Python.\",16.0,23,True,2017-11-04 18:03:11.000000,0.5.0,7.0,sklearn-contrib-lightning,conda-forge/sklearn-contrib-lightning,,,['sklearn'],77.0,72.0,https://pypi.org/project/sklearn-contrib-lightning,2020-12-16 17:25:20.000000,5.0,521.0,2854.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2020-12-20 22:58:20.890000,125996.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n416,bonobo,python-bonobo/bonobo,,data-pipelines,https://github.com/python-bonobo/bonobo,https://github.com/python-bonobo/bonobo,Apache-2.0,2016-12-09 04:03:23.000000,2021-01-01 05:32:02.000000,2021-01-01 05:32:01.000000,111.0,62.0,106.0,1366,978.0,Extract Transform Load for Python 3.5+.,36.0,23,True,2019-05-16 13:19:48.000000,0.6.4,38.0,bonobo,,,http://docs.bonobo-project.org/en/master/,,129.0,105.0,https://pypi.org/project/bonobo,2019-07-20 13:33:19.000000,24.0,2380.0,2380.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n417,Pandaral·lel,nalepae/pandarallel,,data-containers,https://github.com/nalepae/pandarallel,https://github.com/nalepae/pandarallel,BSD-3-Clause,2019-03-10 11:58:29.000000,2020-12-16 13:29:31.000000,2020-12-16 13:29:29.000000,92.0,60.0,53.0,1322,110.0,A simple and efficient tool to parallelize Pandas operations on all availableCPUs.,13.0,23,True,2020-08-25 16:33:28.000000,1.5.1,28.0,pandarallel,,,,\"['pandas', 'jupyter']\",136.0,136.0,https://pypi.org/project/pandarallel,2020-08-25 16:33:28.000000,0.0,40410.0,40410.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n418,MLBox,AxeldeRomblay/MLBox,,hyperopt,https://github.com/AxeldeRomblay/MLBox,https://github.com/AxeldeRomblay/MLBox,BSD-1-Clause,2017-06-01 16:59:24.000000,2020-11-24 17:57:08.000000,2020-08-25 09:26:27.000000,240.0,10.0,72.0,1177,1121.0,MLBox is a powerful Automated Machine Learning python library.,9.0,23,False,2020-08-25 09:32:37.000000,0.8.5,21.0,mlbox,,,,,20.0,20.0,https://pypi.org/project/mlbox,2020-08-25 09:32:37.000000,,3463.0,3463.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n419,TextAttack,QData/TextAttack,,adversarial,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000000,2021-01-08 23:09:42.000000,2020-12-29 15:45:06.000000,127.0,26.0,84.0,1174,1902.0,\"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP.\",30.0,23,True,2020-12-27 05:23:02.000000,0.2.15,35.0,textattack,,,,,13.0,13.0,https://pypi.org/project/textattack,2020-12-27 05:23:02.000000,0.0,912.0,912.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n420,sense2vec,explosion/sense2vec,,nlp,https://github.com/explosion/sense2vec,https://github.com/explosion/sense2vec,MIT,2016-01-23 22:15:49.000000,2020-12-10 16:03:25.000000,2020-05-29 21:31:20.000000,196.0,15.0,78.0,1143,437.0,Contextually-keyed word vectors.,14.0,23,True,2019-11-22 17:40:43.000000,1.0.2,17.0,sense2vec,conda-forge/sense2vec,,,,54.0,48.0,https://pypi.org/project/sense2vec,2019-11-22 15:49:11.000000,6.0,2452.0,3701.0,https://anaconda.org/conda-forge/sense2vec,2020-03-16 22:19:07.337000,14189.0,,,,,3.0,11981.0,,,,,,,,,,,,,,,,,,,\n421,metric-learn,scikit-learn-contrib/metric-learn,,others,https://github.com/scikit-learn-contrib/metric-learn,https://github.com/scikit-learn-contrib/metric-learn,MIT,2013-11-02 08:29:47.000000,2020-08-04 01:35:49.000000,2020-08-04 01:35:39.000000,205.0,47.0,109.0,1101,263.0,Metric learning algorithms in Python.,19.0,23,True,2020-07-02 12:55:51.000000,0.6.2,10.0,metric-learn,,,,['sklearn'],124.0,115.0,https://pypi.org/project/metric-learn,2020-07-02 12:59:23.000000,9.0,15874.0,15874.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n422,pycm,sepandhaghighi/pycm,,others,https://github.com/sepandhaghighi/pycm,https://github.com/sepandhaghighi/pycm,MIT,2018-01-22 19:46:54.000000,2021-01-11 01:29:40.000000,2020-10-26 15:51:32.000000,92.0,13.0,151.0,1042,2508.0,Multi-class confusion matrix library in Python.,14.0,23,True,2020-10-26 16:31:56.000000,3.0,34.0,pycm,,,,,90.0,80.0,https://pypi.org/project/pycm,2020-10-26 16:32:30.000000,10.0,10179.0,10179.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n423,garage,rlworkgroup/garage,,reinforcement-learning,https://github.com/rlworkgroup/garage,https://github.com/rlworkgroup/garage,MIT,2018-06-10 21:31:23.000000,2021-01-12 02:35:10.000000,2021-01-12 02:35:07.000000,183.0,182.0,767.0,1021,1186.0,A toolkit for reproducible reinforcement learning research.,73.0,23,True,2020-09-17 07:34:11.000000,2020.6.3,21.0,garage,,,,['tensorflow'],13.0,13.0,https://pypi.org/project/garage,2020-10-02 17:16:03.000000,,211.0,211.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n424,livelossplot,stared/livelossplot,,ml-experiments,https://github.com/stared/livelossplot,https://github.com/stared/livelossplot,MIT,2018-03-10 17:51:43.000000,2020-11-30 21:45:57.000000,2020-11-16 19:06:21.000000,126.0,5.0,67.0,1017,304.0,\"Live training loss plot in Jupyter Notebook for Keras, PyTorch and others.\",15.0,23,True,2020-07-24 12:17:19.000000,0.5.3,23.0,livelossplot,,,,['jupyter'],422.0,417.0,https://pypi.org/project/livelossplot,2020-07-24 12:17:19.000000,5.0,10812.0,10812.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n425,TabPy,tableau/TabPy,,others,https://github.com/tableau/TabPy,https://github.com/tableau/TabPy,MIT,2016-09-27 21:26:03.000000,2020-11-11 19:10:13.000000,2020-11-11 19:10:12.000000,361.0,7.0,244.0,1009,818.0,Execute Python code on the fly and display results in Tableau visualizations:.,38.0,23,True,2020-11-10 18:35:53.000000,2.3.1,24.0,tabpy,,,,,42.0,42.0,https://pypi.org/project/tabpy,2020-11-11 19:06:41.000000,,2110.0,2110.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n426,modAL,modAL-python/modAL,,others,https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000000,2021-01-07 09:54:00.000000,2021-01-07 09:40:40.000000,167.0,43.0,50.0,997,648.0,A modular active learning framework for Python.,14.0,23,True,2021-01-07 09:47:49.000000,0.4.1,12.0,modAL,,,,['sklearn'],52.0,44.0,https://pypi.org/project/modAL,2021-01-07 09:47:49.000000,8.0,1169.0,1169.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n427,Optimus,ironmussa/Optimus,,data-pipelines,https://github.com/ironmussa/Optimus,https://github.com/ironmussa/Optimus,Apache-2.0,2017-07-13 02:31:18.000000,2021-01-11 17:44:40.000000,2021-01-11 17:44:33.000000,189.0,139.0,165.0,965,3520.0,\"Agile Data Preparation Workflows madeeasy with dask, cudf, dask_cudf and pyspark.\",21.0,23,True,2020-07-19 03:05:40.000000,2.2.32,85.0,optimuspyspark,,,,['spark'],11.0,11.0,https://pypi.org/project/optimuspyspark,2019-05-30 02:22:54.000000,,6939.0,6939.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n428,tensorly,tensorly/tensorly,,others,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52.000000,2021-01-03 14:51:29.000000,2021-01-03 14:51:11.000000,186.0,24.0,94.0,945,865.0,TensorLy: Tensor Learning in Python.,38.0,23,True,2020-12-07 20:30:41.000000,0.5.1,16.0,tensorly,conda-forge/tensorly,,,,20.0,,https://pypi.org/project/tensorly,2020-12-07 20:30:41.000000,20.0,2664.0,5946.0,https://anaconda.org/conda-forge/tensorly,2020-12-07 22:44:30.386000,105046.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n429,ChainerRL,chainer/chainerrl,,reinforcement-learning,https://github.com/chainer/chainerrl,https://github.com/chainer/chainerrl,MIT,2017-01-30 04:58:15.000000,2020-12-09 06:26:53.000000,2020-12-09 06:26:52.000000,205.0,75.0,146.0,921,3458.0,ChainerRL is a deep reinforcement learning library built on top of Chainer.,29.0,23,True,2020-02-14 05:35:56.000000,0.8.0,10.0,chainerrl,,,,,102.0,88.0,https://pypi.org/project/chainerrl,2020-02-14 05:35:56.000000,14.0,525.0,525.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n430,spacy-transformers,explosion/spacy-transformers,,nlp,https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000000,2021-01-11 14:32:09.000000,2021-01-11 14:32:08.000000,97.0,48.0,134.0,863,1241.0,\"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.\",14.0,23,True,2020-06-29 12:10:14.000000,0.6.2,33.0,spacy-transformers,,,,['spacy'],74.0,71.0,https://pypi.org/project/spacy-transformers,2020-10-14 12:35:57.000000,3.0,9265.0,9265.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n431,luminol,linkedin/luminol,,time-series-data,https://github.com/linkedin/luminol,https://github.com/linkedin/luminol,Apache-2.0,2015-11-18 23:16:33.000000,2020-12-27 09:54:35.000000,2018-01-09 07:46:55.000000,176.0,24.0,12.0,861,69.0,Anomaly Detection and Correlation library.,8.0,23,False,2016-01-20 01:01:44.000000,0.3.1,5.0,luminol,,,,,49.0,37.0,https://pypi.org/project/luminol,2017-12-11 06:04:15.000000,12.0,157964.0,157964.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n432,keract,philipperemy/keract,,interpretability,https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57.000000,2021-01-09 21:38:18.000000,2021-01-09 21:38:17.000000,175.0,1.0,75.0,841,351.0,Activation Maps (Layers Outputs) and Gradients in Keras.,15.0,23,True,2020-12-30 19:38:30.000000,4.3.4,36.0,keract,,,,['tensorflow'],70.0,65.0,https://pypi.org/project/keract,2020-12-22 09:35:27.000000,5.0,1388.0,1388.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n433,SciSpacy,allenai/scispacy,,nlp,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52.000000,2021-01-12 00:58:41.000000,2021-01-12 00:58:40.000000,118.0,17.0,125.0,774,796.0,A full spaCy pipeline and models for scientific/biomedical documents.,15.0,23,True,2020-10-16 17:13:40.000000,0.3.0,9.0,scispacy,,,,,208.0,196.0,https://pypi.org/project/scispacy,2020-10-16 17:13:40.000000,12.0,7556.0,7556.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n434,openTSNE,pavlin-policar/openTSNE,,data-viz,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000000,2021-01-08 15:19:01.004000,2021-01-08 11:25:11.000000,82.0,3.0,68.0,737,509.0,\"Extensible, parallel implementations of t-SNE.\",10.0,23,True,2021-01-08 12:20:43.000000,0.5.1,19.0,opentsne,conda-forge/opentsne,,,,170.0,166.0,https://pypi.org/project/opentsne,2021-01-08 12:20:43.000000,4.0,8916.0,11816.0,https://anaconda.org/conda-forge/opentsne,2021-01-08 15:19:01.004000,72514.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n435,PySwarms,ljvmiranda921/pyswarms,,others,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45.000000,2021-01-03 21:34:15.000000,2021-01-03 04:18:07.000000,230.0,13.0,153.0,706,405.0,A research toolkit for particle swarm optimization in Python.,42.0,23,True,2020-11-14 05:18:38.000000,.1.2.0,20.0,pyswarms,,,,,87.0,87.0,https://pypi.org/project/pyswarms,2021-01-03 21:34:15.000000,0.0,5219.0,5219.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n436,Hail,hail-is/hail,,medical-data,https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000000,2021-01-12 21:59:03.000000,2021-01-12 21:25:12.000000,180.0,323.0,1934.0,693,7617.0,Scalable genomic data analysis.,68.0,23,True,2020-12-03 19:29:37.000000,0.2.61,81.0,hail,,,,['spark'],27.0,27.0,https://pypi.org/project/hail,2020-12-03 19:29:37.000000,,999.0,999.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n437,stockstats,jealous/stockstats,,financial-data,https://github.com/jealous/stockstats,https://github.com/jealous/stockstats,BSD-3-Clause,2016-06-05 15:21:22.000000,2020-12-10 07:08:11.000000,2020-10-17 10:59:35.000000,188.0,29.0,29.0,690,23.0,Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.,7.0,23,True,2020-10-17 11:10:43.000000,0.3.2,14.0,stockstats,,,,,182.0,158.0,https://pypi.org/project/stockstats,2020-10-17 11:10:43.000000,24.0,25008.0,25008.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n438,TreeInterpreter,andosa/treeinterpreter,,interpretability,https://github.com/andosa/treeinterpreter,https://github.com/andosa/treeinterpreter,BSD-3-Clause,2015-08-02 20:26:21.000000,2021-01-10 20:20:58.000000,2021-01-10 20:14:03.000000,133.0,25.0,3.0,635,35.0,Package for interpreting scikit-learn's decision tree and random forest predictions.,10.0,23,True,2021-01-10 20:12:39.000000,0.2.3,5.0,treeinterpreter,,,,['sklearn'],121.0,112.0,https://pypi.org/project/treeinterpreter,2021-01-10 20:12:39.000000,9.0,68631.0,68631.0,,,,,,,,2.0,,2.0,,,,,,,,,,,,,,,,,,\n439,arch,bashtage/arch,,financial-data,https://github.com/bashtage/arch,https://github.com/bashtage/arch,NCSA,2014-08-29 15:41:28.000000,2021-01-11 12:53:43.000000,2021-01-07 12:33:37.000000,158.0,18.0,122.0,632,744.0,ARCH models in Python.,25.0,23,False,2020-06-24 19:19:12.000000,4.15,26.0,arch,,,,,281.0,239.0,https://pypi.org/project/arch,2020-06-24 19:20:21.000000,42.0,34280.0,34280.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n440,scikit-multilearn,scikit-multilearn/scikit-multilearn,,sklearn-utils,https://github.com/scikit-multilearn/scikit-multilearn,https://github.com/scikit-multilearn/scikit-multilearn,BSD-2-Clause,2014-04-30 13:05:44.000000,2020-06-30 10:19:46.000000,2019-05-21 11:29:06.000000,118.0,64.0,91.0,617,487.0,A scikit-learn based module for multi-label et. al. classification.,15.0,23,False,2018-12-10 16:24:47.000000,0.2.0,6.0,scikit-multilearn,,,,['sklearn'],323.0,320.0,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47.000000,3.0,60872.0,60872.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n441,tinytag,devsnd/tinytag,,audio,https://github.com/devsnd/tinytag,https://github.com/devsnd/tinytag,MIT,2014-01-27 15:27:01.000000,2020-11-11 16:20:54.000000,2020-11-11 16:13:44.000000,78.0,14.0,60.0,430,308.0,\"Read music meta data and length of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA and Wave files with python 2 or 3.\",18.0,23,True,2020-11-05 12:44:52.000000,1.5.0,33.0,tinytag,,,,,390.0,294.0,https://pypi.org/project/tinytag,2020-11-05 12:44:52.000000,96.0,2875.0,2875.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n442,random-forest-importances,parrt/random-forest-importances,,interpretability,https://github.com/parrt/random-forest-importances,https://github.com/parrt/random-forest-importances,MIT,2018-03-22 19:20:13.000000,2021-01-08 18:35:14.000000,2021-01-08 18:35:13.000000,88.0,4.0,25.0,398,243.0,Code to compute permutation and drop-column importances in Python scikit-learn models.,14.0,23,True,2020-11-25 22:11:59.000000,1.3.6,21.0,rfpimp,,,,['sklearn'],59.0,57.0,https://pypi.org/project/rfpimp,2020-11-25 22:11:59.000000,2.0,23201.0,23201.0,,,,,,,,2.0,,,,,,,,,True,,,,,,,,,,,\n443,messytables,okfn/messytables,,data-loading,https://github.com/okfn/messytables,https://github.com/okfn/messytables,MIT,2011-07-27 18:08:21.000000,2021-01-07 22:24:38.000000,2019-11-13 07:35:33.000000,96.0,30.0,55.0,359,601.0,Tools for parsing messy tabular data. This is now superseded by https://github.com/frictionlessdata/tabulator-py.,44.0,23,False,2017-02-09 12:37:47.000000,0.15.2,26.0,messytables,,,,,388.0,170.0,https://pypi.org/project/messytables,2017-02-09 12:37:47.000000,218.0,4196.0,4196.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n444,pySBD,nipunsadvilkar/pySBD,,nlp,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20.000000,2020-12-01 05:37:27.000000,2020-12-01 05:37:25.000000,25.0,4.0,43.0,251,274.0,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,6.0,23,True,2020-10-08 11:41:09.000000,0.3.3,14.0,pysbd,,,,,98.0,96.0,https://pypi.org/project/pysbd,2020-10-08 11:33:56.000000,2.0,9555.0,9555.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n445,pysparkling,svenkreiss/pysparkling,,data-pipelines,https://github.com/svenkreiss/pysparkling,https://github.com/svenkreiss/pysparkling,MIT,2015-05-09 19:23:20.000000,2021-01-10 21:31:20.000000,2021-01-10 21:31:15.000000,43.0,1.0,20.0,232,1514.0,A pure Python implementation of Apache Spark's RDD and DStream interfaces.,9.0,23,True,2021-01-10 21:15:26.000000,0.6.1,68.0,pysparkling,,,,,69.0,55.0,https://pypi.org/project/pysparkling,2021-01-10 21:15:26.000000,14.0,4867.0,4867.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n446,TensorFlow Cloud,tensorflow/cloud,,tensorflow-utils,https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59.000000,2021-01-11 22:01:55.000000,2021-01-11 22:01:44.000000,43.0,46.0,25.0,213,496.0,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,16.0,23,True,2021-01-06 23:08:07.000000,0.1.11,14.0,tensorflow-cloud,,,,['tensorflow'],10.0,10.0,https://pypi.org/project/tensorflow-cloud,2021-01-06 23:08:07.000000,0.0,178638.0,178638.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n447,pyexcel-xlsx,pyexcel/pyexcel-xlsx,,data-loading,https://github.com/pyexcel/pyexcel-xlsx,https://github.com/pyexcel/pyexcel-xlsx,BSD-3-Clause,2014-12-02 00:03:24.000000,2020-11-28 22:30:58.000000,2020-11-28 22:30:53.000000,16.0,12.0,20.0,83,267.0,\"A wrapper library to read, manipulate and write data in xlsx and xlsm format using openpyxl.\",4.0,23,False,2020-10-10 13:13:09.000000,0.6.0,30.0,pyexcel-xlsx,conda-forge/pyexcel-xlsx,,,,1380.0,1070.0,https://pypi.org/project/pyexcel-xlsx,2019-12-28 20:09:57.000000,310.0,35420.0,35797.0,https://anaconda.org/conda-forge/pyexcel-xlsx,2020-10-10 15:53:49.660000,14706.0,,,,,3.0,46.0,,,,,,,,,,,,,,,,,,,\n448,Vaex,vaexio/vaex,,data-containers,https://github.com/vaexio/vaex,https://github.com/vaexio/vaex,MIT,2014-09-27 09:44:42.000000,2021-01-12 11:48:43.000000,2021-01-08 17:19:50.000000,427.0,266.0,385.0,5602,2904.0,\"Out-of-Core DataFrames for Python, ML, visualize and explore big tabular data at a billion rows per second.\",35.0,22,True,2020-05-25 21:35:34.000000,3.0.0,41.0,vaex,conda-forge/vaex,,,,2.0,,https://pypi.org/project/vaex,2020-12-08 16:25:15.000000,2.0,3492.0,5328.0,https://anaconda.org/conda-forge/vaex,2020-06-01 18:35:17.510000,93573.0,,,,,3.0,199.0,,,,,,,,,,,,,,,,,,,\n449,mmdnn,Microsoft/MMdnn,,model-serialisation,https://github.com/microsoft/MMdnn,https://github.com/microsoft/MMdnn,MIT,2017-08-16 08:03:52.000000,2020-10-22 09:57:53.000000,2020-08-14 02:32:30.000000,920.0,307.0,283.0,5162,1083.0,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,85.0,22,True,2020-07-24 06:34:39.000000,0.3.1,12.0,mmdnn,,,,,50.0,47.0,https://pypi.org/project/mmdnn,2020-07-24 06:34:39.000000,3.0,611.0,697.0,,,,,,,,2.0,3273.0,,,,,,,,,,,,,,,,,,,\n450,Snips NLU,snipsco/snips-nlu,,nlp,https://github.com/snipsco/snips-nlu,https://github.com/snipsco/snips-nlu,Apache-2.0,2017-02-08 16:16:36.000000,2020-12-24 12:59:47.000000,2020-02-08 21:49:32.000000,457.0,50.0,196.0,3433,2153.0,Snips Python library to extract meaning from text.,21.0,22,True,2020-01-15 10:13:17.000000,0.20.2,58.0,snips-nlu,,,,,8.0,,https://pypi.org/project/snips-nlu,2020-01-15 10:13:17.000000,8.0,967.0,967.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n451,Image Deduplicator,idealo/imagededup,,image,https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54.000000,2020-12-21 13:30:38.000000,2020-11-23 17:40:40.000000,275.0,17.0,51.0,3330,460.0,Finding duplicate images made easy!.,9.0,22,True,2020-11-23 17:55:24.000000,0.2.4,9.0,imagededup,,,,['tensorflow'],9.0,8.0,https://pypi.org/project/imagededup,2020-11-22 21:09:36.000000,1.0,1627.0,1627.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n452,ArrayFire,arrayfire/arrayfire,,gpu-utilities,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000000,2021-01-12 13:06:41.000000,2021-01-11 17:01:02.000000,449.0,254.0,1197.0,3284,5670.0,ArrayFire: a general purpose GPU library.,80.0,22,True,2021-01-08 21:41:09.000000,3.8.0,30.0,arrayfire,,,,,2.0,,https://pypi.org/project/arrayfire,2018-10-18 14:13:29.000000,2.0,501.0,509.0,,,,,,,,2.0,568.0,,,,,,,,,,,,,,,,,,,\n453,TensorWatch,microsoft/tensorwatch,,ml-experiments,https://github.com/microsoft/tensorwatch,https://github.com/microsoft/tensorwatch,MIT,2019-05-15 08:29:34.000000,2020-12-28 08:11:02.000000,2020-09-16 04:30:11.000000,309.0,49.0,14.0,3000,108.0,\"Debugging, monitoring and visualization for Python Machine Learning and Data Science.\",11.0,22,True,2020-03-04 07:26:22.000000,0.9.1,14.0,tensorwatch,,,,,50.0,44.0,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22.000000,6.0,7653.0,7653.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n454,analytics-zoo,intel-analytics/analytics-zoo,,distributed-ml,https://github.com/intel-analytics/analytics-zoo,https://github.com/intel-analytics/analytics-zoo,Apache-2.0,2017-05-05 02:27:30.000000,2021-01-12 16:08:33.000000,2021-01-12 16:08:31.000000,628.0,441.0,480.0,2175,2456.0,\"Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray.\",81.0,22,True,2020-12-17 03:25:36.000000,0.9.0,43.0,analytics-zoo,,,,['spark'],2.0,2.0,https://pypi.org/project/analytics-zoo,2021-01-10 16:21:22.000000,,617.0,617.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n455,Mars,mars-project/mars,,others,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03.000000,2021-01-12 17:03:14.000000,2021-01-12 05:52:19.000000,239.0,113.0,625.0,1971,684.0,\"Mars is a tensor-based unified framework for large-scale data computation which scales Numpy, pandas, Scikit-learn and..\",17.0,22,True,2021-01-03 04:54:10.000000,0.6.2,68.0,pymars,,,,,3.0,3.0,https://pypi.org/project/pymars,2020-12-20 16:45:18.000000,,3230.0,3230.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n456,PandasGUI,adamerose/pandasgui,,data-viz,https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT,2019-06-12 02:19:42.000000,2021-01-11 20:52:31.000000,2021-01-11 20:12:34.000000,113.0,13.0,52.0,1959,403.0,A GUI for Pandas DataFrames.,7.0,22,True,2020-11-10 17:30:20.000000,0.2.7,37.0,pandasgui,,,,['pandas'],30.0,29.0,https://pypi.org/project/pandasgui,2020-11-10 17:30:20.000000,1.0,1777.0,1777.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n457,knockknock,huggingface/knockknock,,ml-experiments,https://github.com/huggingface/knockknock,https://github.com/huggingface/knockknock,MIT,2019-03-20 13:08:55.000000,2021-01-09 06:11:00.000000,2020-03-16 04:26:47.000000,158.0,12.0,21.0,1945,75.0,Knock Knock: Get notified when your training ends with only two additional lines of code.,18.0,22,True,2020-03-04 04:15:47.000000,0.1.8,10.0,knockknock,conda-forge/knockknock,,,,132.0,129.0,https://pypi.org/project/knockknock,2020-03-16 14:30:23.000000,3.0,1366.0,1717.0,https://anaconda.org/conda-forge/knockknock,2020-03-17 01:52:16.317000,5267.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n458,pytorch-nlp,PetrochukM/PyTorch-NLP,,nlp,https://github.com/PetrochukM/PyTorch-NLP,https://github.com/PetrochukM/PyTorch-NLP,BSD-3-Clause,2018-02-25 05:00:36.000000,2020-10-11 02:41:30.000000,2020-10-11 02:41:24.000000,223.0,14.0,49.0,1849,442.0,Basic Utilities for PyTorch Natural Language Processing (NLP).,17.0,22,True,2019-11-04 05:16:00.000000,0.5.0,19.0,pytorch-nlp,,,,['pytorch'],186.0,168.0,https://pypi.org/project/pytorch-nlp,2019-11-04 04:35:18.000000,18.0,2944.0,2944.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n459,PyFlux,RJT1990/pyflux,,time-series-data,https://github.com/RJT1990/pyflux,https://github.com/RJT1990/pyflux,BSD-3-Clause,2016-02-16 20:12:02.000000,2019-03-19 10:45:02.000000,2018-12-16 15:30:13.000000,207.0,79.0,65.0,1845,118.0,Open source time series library for Python.,6.0,22,False,2017-11-21 16:27:06.000000,0.4.16,35.0,pyflux,,,,,179.0,164.0,https://pypi.org/project/pyflux,2017-11-21 16:27:06.000000,15.0,12074.0,12074.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n460,m2cgen,BayesWitnesses/m2cgen,,model-serialisation,https://github.com/BayesWitnesses/m2cgen,https://github.com/BayesWitnesses/m2cgen,MIT,2019-01-13 02:32:55.000000,2021-01-12 05:26:44.000000,2020-10-07 17:33:12.000000,146.0,25.0,36.0,1731,227.0,\"Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart,..\",12.0,22,True,2020-09-18 19:17:26.000000,0.9.0,12.0,m2cgen,,,,,4.0,4.0,https://pypi.org/project/m2cgen,2020-09-18 19:16:17.000000,,8301.0,8301.0,,,,,,,,2.0,,,,,,,,,True,,,,,,,,,,,\n461,MONAI,Project-MONAI/MONAI,,medical-data,https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000000,2021-01-12 23:35:27.000000,2021-01-12 23:00:43.000000,292.0,82.0,575.0,1708,724.0,AI Toolkit for Healthcare Imaging.,52.0,22,True,2020-12-15 15:21:13.000000,0.4.0,15.0,monai,,,,['pytorch'],,,https://pypi.org/project/monai,2020-12-15 15:16:56.000000,,3691.0,3691.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n462,scikit-opt,guofei9987/scikit-opt,,sklearn-utils,https://github.com/guofei9987/scikit-opt,https://github.com/guofei9987/scikit-opt,MIT,2017-12-05 10:20:41.000000,2021-01-07 07:01:36.000000,2021-01-07 07:01:35.000000,412.0,21.0,60.0,1703,237.0,\"Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune..\",8.0,22,True,2020-11-20 12:55:12.000000,0.6.1,18.0,scikit-opt,,,,['sklearn'],28.0,25.0,https://pypi.org/project/scikit-opt,2020-11-20 12:52:22.000000,3.0,883.0,883.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n463,DDSP,magenta/ddsp,,audio,https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27.000000,2021-01-12 22:15:08.000000,2021-01-12 22:14:55.000000,155.0,13.0,84.0,1694,339.0,DDSP: Differentiable Digital Signal Processing.,23.0,22,True,2020-11-11 21:25:25.000000,0.13.0,25.0,ddsp,,,,['tensorflow'],5.0,5.0,https://pypi.org/project/ddsp,2020-08-21 20:19:47.000000,,1026.0,1026.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n464,STUMPY,TDAmeritrade/stumpy,,time-series-data,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000000,2021-01-11 11:14:43.000000,2021-01-04 21:23:21.000000,157.0,27.0,172.0,1635,785.0,\"STUMPY is a powerful and scalable Python library for computing a Matrix Profile, which can be used for a variety of..\",20.0,22,True,2020-12-31 01:04:19.000000,1.6.1,15.0,stumpy,conda-forge/stumpy,,,,0.0,,https://pypi.org/project/stumpy,2020-12-31 01:04:19.000000,0.0,18047.0,18774.0,https://anaconda.org/conda-forge/stumpy,2020-12-31 01:16:25.635000,14552.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n465,scattertext,JasonKessler/scattertext,,nlp,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12.000000,2020-12-18 17:48:22.333000,2020-12-18 09:53:12.000000,200.0,17.0,53.0,1481,335.0,Beautiful visualizations of how language differs among document types.,10.0,22,True,2017-03-13 05:31:21.000000,0.0.2.4.4,127.0,scattertext,conda-forge/scattertext,,,,149.0,141.0,https://pypi.org/project/scattertext,2020-12-14 02:45:48.000000,8.0,2413.0,3453.0,https://anaconda.org/conda-forge/scattertext,2020-12-18 17:48:22.333000,42670.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n466,fast-bert,kaushaltrivedi/fast-bert,,nlp,https://github.com/kaushaltrivedi/fast-bert,https://github.com/kaushaltrivedi/fast-bert,Apache-2.0,2019-04-18 22:01:20.000000,2020-12-17 21:05:51.000000,2020-12-17 21:05:43.000000,302.0,137.0,91.0,1474,262.0,Super easy library for BERT based NLP models.,34.0,22,True,2020-12-09 21:27:58.000000,1.9.5,40.0,fast-bert,,,,,2.0,,https://pypi.org/project/fast-bert,2020-12-09 21:27:58.000000,2.0,1873.0,1873.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n467,anaGo,Hironsan/anago,,nlp,https://github.com/Hironsan/anago,https://github.com/Hironsan/anago,MIT,2017-06-26 21:28:36.000000,2020-11-13 17:31:18.000000,2019-10-23 03:19:52.000000,348.0,36.0,71.0,1373,296.0,\"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.\",11.0,22,False,2018-06-03 13:51:56.000000,1.0.0,14.0,anago,,,,['tensorflow'],25.0,25.0,https://pypi.org/project/anago,2018-07-17 01:59:21.000000,,1442.0,1442.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n468,Talos,autonomio/talos,,hyperopt,https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41.000000,2020-11-21 16:37:14.000000,2020-11-21 16:27:04.000000,222.0,41.0,343.0,1352,538.0,\"Hyperparameter Optimization for TensorFlow, Keras and PyTorch.\",19.0,22,True,2020-11-09 16:48:30.000000,1.0,13.0,talos,,,,['tensorflow'],111.0,105.0,https://pypi.org/project/talos,2020-11-09 16:46:45.000000,6.0,952.0,952.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n469,fklearn,nubank/fklearn,,ml-frameworks,https://github.com/nubank/fklearn,https://github.com/nubank/fklearn,Apache-2.0,2019-02-27 14:32:57.000000,2020-11-20 18:13:27.000000,2020-11-20 18:13:25.000000,151.0,19.0,19.0,1294,111.0,fklearn: Functional Machine Learning.,35.0,22,True,2020-10-02 15:11:00.000000,1.21.0,19.0,fklearn,,,,,9.0,9.0,https://pypi.org/project/fklearn,2020-10-02 15:11:00.000000,,5417.0,5417.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n470,hnswlib,nmslib/hnswlib,,nn-search,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000000,2021-01-10 10:36:22.000000,2020-08-18 21:30:59.000000,231.0,80.0,104.0,1292,195.0,Header-only C++/python library for fast approximate nearest neighbors.,32.0,22,True,2020-07-13 04:50:55.000000,0.4.0,3.0,hnswlib,,,,,2.0,,https://pypi.org/project/hnswlib,2020-07-13 04:50:55.000000,2.0,15136.0,15136.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n471,NiftyNet,NifTK/NiftyNet,,medical-data,https://github.com/NifTK/NiftyNet,https://github.com/NifTK/NiftyNet,Apache-2.0,2017-08-30 07:55:43.000000,2020-04-21 19:54:52.000000,2020-04-21 19:54:51.000000,374.0,99.0,224.0,1263,2848.0,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,58.0,22,True,2019-10-09 19:33:30.000000,0.6.0,11.0,niftynet,,,,['tensorflow'],33.0,33.0,https://pypi.org/project/niftynet,2019-10-10 10:59:33.000000,,202.0,202.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n472,EfficientNets,rwightman/gen-efficientnet-pytorch,,pytorch-utils,https://github.com/rwightman/gen-efficientnet-pytorch,https://github.com/rwightman/gen-efficientnet-pytorch,Apache-2.0,2019-05-11 19:35:56.000000,2020-11-30 05:51:08.000000,2020-11-30 05:49:27.000000,165.0,,46.0,1224,106.0,\"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.\",5.0,22,True,2020-08-20 19:55:21.000000,1.0.0,9.0,geffnet,,,,['pytorch'],27.0,27.0,https://pypi.org/project/geffnet,2020-08-20 19:55:21.000000,,1145.0,1145.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n473,pandasql,yhat/pandasql,,data-containers,https://github.com/yhat/pandasql,https://github.com/yhat/pandasql,MIT,2013-02-18 01:53:56.000000,2020-08-14 13:00:13.000000,2017-02-01 15:40:30.000000,141.0,44.0,23.0,932,127.0,sqldf for pandas.,15.0,22,False,2016-04-20 21:52:36.000000,0.7.3,31.0,pandasql,,,,['pandas'],664.0,615.0,https://pypi.org/project/pandasql,2016-04-20 21:52:36.000000,49.0,172174.0,172174.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n474,bt,pmorissette/bt,,financial-data,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28.000000,2021-01-09 01:05:36.000000,2021-01-09 01:05:35.000000,247.0,53.0,161.0,930,380.0,bt - flexible backtesting for Python.,20.0,22,True,2018-05-28 17:12:46.000000,0.2.7,23.0,bt,,,,,62.0,42.0,https://pypi.org/project/bt,2018-05-28 17:12:46.000000,20.0,3983.0,3983.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n475,fancyimpute,iskandr/fancyimpute,,sklearn-utils,https://github.com/iskandr/fancyimpute,https://github.com/iskandr/fancyimpute,Apache-2.0,2015-11-05 23:39:34.000000,2020-12-09 07:14:51.000000,2020-08-27 15:27:19.000000,142.0,4.0,103.0,911,195.0,Multivariate imputation and matrix completion algorithms implemented in Python.,11.0,22,True,2020-07-16 21:36:59.000000,0.5.5,26.0,fancyimpute,,,,['sklearn'],649.0,628.0,https://pypi.org/project/fancyimpute,2020-07-16 21:36:59.000000,21.0,5684.0,5684.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n476,Alibi,SeldonIO/alibi,,interpretability,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Apache-2.0,2019-02-26 10:10:56.000000,2020-12-03 14:50:46.000000,2020-12-02 15:42:16.000000,101.0,64.0,73.0,854,226.0,Algorithms for monitoring and explaining machine learning models.,11.0,22,True,2020-10-20 14:14:29.000000,0.5.5,15.0,alibi,,,,,63.0,54.0,https://pypi.org/project/alibi,2020-10-20 14:13:40.000000,9.0,2391.0,2391.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n477,FinTA,peerchemist/finta,,financial-data,https://github.com/peerchemist/finta,https://github.com/peerchemist/finta,LGPL-3.0,2016-09-01 21:02:46.000000,2020-12-17 13:15:00.000000,2020-11-04 21:30:11.000000,277.0,7.0,58.0,788,364.0,Common financial technical indicators implemented in Pandas.,21.0,22,False,2020-10-21 11:36:19.000000,1.2,19.0,finta,,,,,53.0,51.0,https://pypi.org/project/finta,2020-10-21 11:39:44.000000,2.0,3340.0,3340.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n478,Neural Structured Learning,tensorflow/neural-structured-learning,,tensorflow-utils,https://github.com/tensorflow/neural-structured-learning,https://github.com/tensorflow/neural-structured-learning,Apache-2.0,2019-08-27 21:48:16.000000,2021-01-11 22:12:45.000000,2021-01-11 16:04:51.000000,136.0,5.0,38.0,765,349.0,Training neural models with structured signals.,25.0,22,True,2020-08-18 00:30:03.000000,1.3.1,7.0,neural-structured-learning,,,,['tensorflow'],20.0,20.0,https://pypi.org/project/neural-structured-learning,2020-08-18 00:35:35.000000,,1902.0,1902.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n479,minisom,JustGlowing/minisom,,others,https://github.com/JustGlowing/minisom,https://github.com/JustGlowing/minisom,CC-BY-3.0,2013-07-03 10:10:06.000000,2020-12-27 21:28:56.000000,2020-12-07 08:53:54.000000,240.0,8.0,60.0,753,414.0,MiniSom is a minimalistic implementation of the Self Organizing Maps.,19.0,22,False,2020-11-03 08:23:06.000000,2.2.7,14.0,minisom,,,,,136.0,132.0,https://pypi.org/project/minisom,2020-06-19 06:29:59.000000,4.0,6585.0,6585.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n480,Explainability 360,Trusted-AI/AIX360,,interpretability,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48.000000,2020-12-04 16:51:14.000000,2020-12-04 16:49:39.000000,160.0,26.0,18.0,750,305.0,Interpretability and explainability of data and machine learning models.,27.0,22,True,2020-10-28 09:32:21.000000,0.2.1,4.0,aix360,,,,,13.0,12.0,https://pypi.org/project/aix360,2020-10-28 09:18:17.000000,1.0,502.0,502.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n481,kapre,keunwoochoi/kapre,,audio,https://github.com/keunwoochoi/kapre,https://github.com/keunwoochoi/kapre,MIT,2016-12-14 18:36:36.000000,2021-01-12 09:28:00.000000,2020-11-16 17:11:54.000000,129.0,5.0,79.0,693,188.0,kapre: Keras Audio Preprocessors.,13.0,22,True,2020-09-29 18:49:13.000000,0.3.4,21.0,kapre,,,,['tensorflow'],449.0,438.0,https://pypi.org/project/kapre,2020-09-29 18:49:13.000000,11.0,922.0,922.0,,,,,,,,3.0,7.0,,,,,,,,True,,,,,,,,,,,\n482,GPUtil,anderskm/gputil,,gpu-utilities,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43.000000,2020-10-01 05:42:49.000000,2019-08-16 09:00:15.000000,76.0,10.0,14.0,660,140.0,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,13.0,22,False,2018-12-18 09:12:13.000000,1.4.0,8.0,gputil,,,,,1034.0,932.0,https://pypi.org/project/gputil,2018-12-18 09:12:13.000000,102.0,59601.0,59601.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n483,Node2Vec,eliorc/node2vec,,graph,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000000,2021-01-09 08:40:34.000000,2021-01-09 08:39:26.000000,165.0,,47.0,618,48.0,Implementation of the node2vec algorithm.,7.0,22,True,2021-01-09 08:40:34.000000,0.4.1,13.0,node2vec,conda-forge/node2vec,,,,119.0,109.0,https://pypi.org/project/node2vec,2021-01-09 08:38:24.000000,10.0,4391.0,4869.0,https://anaconda.org/conda-forge/node2vec,2020-04-25 22:41:13.714000,15323.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n484,pingouin,raphaelvallat/pingouin,,probabilistics,https://github.com/raphaelvallat/pingouin,https://github.com/raphaelvallat/pingouin,GPL-3.0,2018-04-01 01:10:22.000000,2020-12-28 23:01:51.000000,2020-09-07 18:05:26.000000,50.0,18.0,101.0,611,993.0,Statistical package in Python based on Pandas.,13.0,22,False,2020-09-07 18:23:03.000000,0.3.8,29.0,pingouin,conda-forge/pingouin,,,,152.0,147.0,https://pypi.org/project/pingouin,2020-07-29 04:02:10.000000,5.0,14261.0,15452.0,https://anaconda.org/conda-forge/pingouin,2020-09-07 19:37:23.890000,29797.0,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n485,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,,data-viz,https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14.000000,2020-11-27 08:30:55.000000,2020-11-27 08:28:43.000000,75.0,21.0,51.0,599,259.0,Bokeh Plotting Backend for Pandas and GeoPandas.,11.0,22,True,2020-11-27 08:29:09.000000,0.5.2,13.0,pandas-bokeh,,,,['pandas'],134.0,124.0,https://pypi.org/project/pandas-bokeh,2020-11-27 08:30:55.000000,10.0,6077.0,6077.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n486,Prince,MaxHalford/prince,,others,https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000000,2021-01-11 21:14:58.000000,2021-01-11 21:14:58.000000,108.0,25.0,64.0,551,179.0,\"Python factor analysis library (PCA, CA, MCA, MFA, FAMD).\",9.0,22,True,2020-10-06 11:26:47.000000,0.7.1,41.0,prince,,,,['sklearn'],102.0,99.0,https://pypi.org/project/prince,2020-10-06 11:26:47.000000,3.0,3932.0,3932.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n487,CellProfiler,CellProfiler/CellProfiler,,image,https://github.com/CellProfiler/CellProfiler,https://github.com/CellProfiler/CellProfiler,BSD-3-Clause,2011-04-05 12:10:12.000000,2021-01-11 11:59:27.000000,2021-01-11 11:59:05.000000,268.0,159.0,2759.0,530,15283.0,An open-source application for biological image analysis.,119.0,22,True,2020-11-20 23:32:23.000000,4.0.7,40.0,cellprofiler,,,,,3.0,3.0,https://pypi.org/project/cellprofiler,2017-09-04 18:03:36.000000,,125.0,131.0,,,,,,,,3.0,513.0,,,,,,,,True,,,,,,,,,,,\n488,PDPbox,SauceCat/PDPbox,,data-viz,https://github.com/SauceCat/PDPbox,https://github.com/SauceCat/PDPbox,MIT,2017-06-26 08:01:54.000000,2019-07-17 16:58:38.379000,2018-12-08 10:06:13.000000,83.0,37.0,17.0,523,223.0,python partial dependence plot toolbox.,7.0,22,False,2018-07-23 13:33:35.000000,0.2.0,2.0,pdpbox,conda-forge/pdpbox,,,,325.0,291.0,https://pypi.org/project/pdpbox,2018-07-23 13:33:35.000000,34.0,42822.0,43125.0,https://anaconda.org/conda-forge/pdpbox,2019-07-17 16:58:38.379000,5471.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n489,Guild AI,guildai/guildai,,ml-experiments,https://github.com/guildai/guildai,https://github.com/guildai/guildai,Apache-2.0,2017-09-27 18:57:50.000000,2021-01-12 21:21:21.000000,2021-01-12 19:55:42.000000,42.0,93.0,144.0,518,4290.0,\"Experiment tracking, ML developer tools.\",16.0,22,True,2020-12-05 17:36:38.000000,0.7.1,159.0,guildai,,,,,25.0,25.0,https://pypi.org/project/guildai,2021-01-12 21:21:21.000000,,2265.0,2265.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n490,python-ternary,marcharper/python-ternary,,data-viz,https://github.com/marcharper/python-ternary,https://github.com/marcharper/python-ternary,MIT,2012-08-07 23:48:55.000000,2021-01-05 02:49:30.000000,2021-01-05 02:49:29.000000,109.0,24.0,77.0,384,378.0,Ternary plotting library for python with matplotlib.,25.0,22,True,2020-05-10 19:01:32.000000,1.0.7,10.0,python-ternary,conda-forge/python-ternary,,,,60.0,50.0,https://pypi.org/project/python-ternary,2020-05-10 19:01:32.000000,10.0,1011.0,1844.0,https://anaconda.org/conda-forge/python-ternary,2020-05-10 19:48:41.398000,47487.0,,,,,3.0,14.0,,,,,,,,True,,,,,,,,,,,\n491,scikit-lego,koaning/scikit-lego,,sklearn-utils,https://github.com/koaning/scikit-lego,https://github.com/koaning/scikit-lego,MIT,2019-01-21 15:30:15.000000,2021-01-11 19:53:32.000000,2021-01-04 09:18:28.000000,63.0,21.0,181.0,370,369.0,Extra blocks for scikit-learn pipelines.,38.0,22,True,2020-10-25 11:24:35.000000,0.6.2,29.0,scikit-lego,conda-forge/scikit-lego,,,['sklearn'],15.0,15.0,https://pypi.org/project/scikit-lego,2021-01-04 09:19:31.000000,0.0,861.0,1361.0,https://anaconda.org/conda-forge/scikit-lego,2020-11-02 09:40:04.581000,7508.0,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n492,vega,vega/ipyvega,,data-viz,https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000000,2021-01-11 12:24:54.000000,2021-01-11 12:24:51.000000,46.0,8.0,79.0,292,473.0,IPython/Jupyter notebook module for Vega and Vega-Lite.,9.0,22,True,2020-05-15 23:40:02.000000,3.4.0,37.0,vega,conda-forge/vega,,,['jupyter'],148.0,,https://pypi.org/project/vega,2020-05-15 23:40:02.000000,148.0,5963.0,12771.0,https://anaconda.org/conda-forge/vega,2020-12-10 15:03:57.175000,374485.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n493,pyvips,libvips/pyvips,,image,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000000,2020-12-27 23:03:46.000000,2020-12-27 23:01:11.000000,25.0,66.0,132.0,286,390.0,python binding for libvips using cffi.,10.0,22,True,2020-12-18 11:44:57.000000,2.1.14,20.0,pyvips,conda-forge/pyvips,,,,155.0,133.0,https://pypi.org/project/pyvips,2020-12-18 11:44:57.000000,22.0,3347.0,3696.0,https://anaconda.org/conda-forge/pyvips,2020-10-14 10:02:33.542000,5938.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n494,SUOD,yzhao062/SUOD,,others,https://github.com/yzhao062/SUOD,https://github.com/yzhao062/SUOD,BSD-2-Clause,2019-11-20 00:23:54.000000,2020-12-27 16:23:50.000000,2020-12-27 16:23:45.000000,26.0,4.0,1.0,231,124.0,An Acceleration System for Large-scale Outlier Detection (Anomaly Detection).,1.0,22,True,2020-04-20 19:41:31.000000,0.0.4,5.0,suod,,,,,238.0,238.0,https://pypi.org/project/suod,2020-04-20 19:41:31.000000,,79453.0,79453.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n495,EarthPy,earthlab/earthpy,,geospatial-data,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000000,2021-01-10 22:36:05.000000,2020-12-03 23:03:15.000000,96.0,26.0,199.0,220,1066.0,A package built to support working with spatial data using open source python.,38.0,22,True,2020-06-18 23:58:08.000000,0.9.2,22.0,earthpy,conda-forge/earthpy,,,,78.0,72.0,https://pypi.org/project/earthpy,2020-06-18 23:58:08.000000,6.0,1718.0,2956.0,https://anaconda.org/conda-forge/earthpy,2020-06-19 15:23:44.425000,26009.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n496,Orion,Epistimio/orion,,hyperopt,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21.000000,2021-01-08 18:50:13.000000,2020-12-23 03:20:49.000000,35.0,19.0,96.0,179,2421.0,Asynchronous Distributed Hyperparameter Optimization.,18.0,22,True,2020-12-04 17:08:50.000000,0.1.11,12.0,orion,,,,,47.0,39.0,https://pypi.org/project/orion,2020-12-04 17:08:50.000000,8.0,936.0,936.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n497,py3nvml,fbcotter/py3nvml,,gpu-utilities,https://github.com/fbcotter/py3nvml,https://github.com/fbcotter/py3nvml,BSD-3-Clause,2016-11-21 01:07:37.000000,2020-10-10 10:41:08.987000,2020-04-23 06:54:42.000000,24.0,2.0,9.0,160,79.0,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,6.0,22,True,2020-04-06 16:02:10.000000,0.2.6,13.0,py3nvml,conda-forge/py3nvml,,,,236.0,216.0,https://pypi.org/project/py3nvml,2020-04-06 16:02:10.000000,20.0,98935.0,99847.0,https://anaconda.org/conda-forge/py3nvml,2020-10-10 10:41:08.987000,10949.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n498,Recommenders,microsoft/recommenders,,recommender-systems,https://github.com/microsoft/recommenders,https://github.com/microsoft/recommenders,MIT,2018-09-19 10:06:07.000000,2021-01-11 09:48:12.000000,2021-01-04 11:10:33.000000,1551.0,108.0,428.0,8963,6261.0,Best Practices on Recommendation Systems.,88.0,21,True,2020-08-20 15:11:46.000000,2020.8,6.0,,,,,,1.0,1.0,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n499,cortex,cortexlabs/cortex,,model-serialisation,https://github.com/cortexlabs/cortex,https://github.com/cortexlabs/cortex,Apache-2.0,2019-01-24 04:43:14.000000,2021-01-12 23:23:20.000000,2021-01-12 14:16:55.000000,544.0,185.0,676.0,7193,1777.0,Run inference at scale.,18.0,21,True,2021-01-06 08:18:00.000000,0.26.0,44.0,cortex,,,,,0.0,,https://pypi.org/project/cortex,2021-01-06 08:09:51.000000,0.0,660.0,660.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n500,mace,XiaoMi/mace,,ml-frameworks,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12.000000,2021-01-12 02:48:05.000000,2021-01-10 08:24:13.000000,746.0,37.0,582.0,4265,3086.0,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,54.0,21,True,2021-01-12 02:48:05.000000,1.0.2,9.0,,,,,,,,,,,,44.0,,,,,,,,3.0,1292.0,,,,,,,,,,,,,,,,,,,\n501,MMF,facebookresearch/mmf,,image,https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40.000000,2021-01-12 19:20:14.000000,2021-01-12 19:16:32.000000,589.0,88.0,318.0,4045,758.0,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,50.0,21,True,2019-08-26 19:04:21.000000,0.3.1,11.0,mmf,,,,['pytorch'],6.0,6.0,https://pypi.org/project/mmf,2020-06-11 16:09:52.000000,,160.0,160.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n502,MatchZoo,NTMC-Community/MatchZoo,,nlp,https://github.com/NTMC-Community/MatchZoo,https://github.com/NTMC-Community/MatchZoo,Apache-2.0,2017-06-08 08:55:22.000000,2020-06-17 07:27:59.000000,2019-10-24 13:10:07.000000,858.0,27.0,427.0,3317,1808.0,\"Facilitating the design, comparison and sharing of deep text matching models.\",35.0,21,False,2019-10-24 13:09:11.000000,2.2.0,5.0,matchzoo,,,,['tensorflow'],9.0,9.0,https://pypi.org/project/matchzoo,2019-10-24 13:09:11.000000,,226.0,226.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n503,AdaNet,tensorflow/adanet,,hyperopt,https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24.000000,2020-07-09 21:03:28.000000,2020-07-09 20:51:04.000000,494.0,63.0,47.0,3221,439.0,Fast and flexible AutoML with learning guarantees.,26.0,21,True,2020-07-09 20:53:28.000000,0.9.0,13.0,adanet,,,,['tensorflow'],35.0,33.0,https://pypi.org/project/adanet,2020-07-09 21:03:28.000000,2.0,656.0,656.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n504,NLP Architect,IntelLabs/nlp-architect,,nlp,https://github.com/IntelLabs/nlp-architect,https://github.com/IntelLabs/nlp-architect,Apache-2.0,2018-05-17 21:00:13.000000,2021-01-12 22:41:21.000000,2021-01-07 16:18:35.000000,394.0,16.0,103.0,2571,948.0,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,35.0,21,True,2020-11-17 12:32:37.000000,0.5.5.1,13.0,nlp-architect,,,,,7.0,7.0,https://pypi.org/project/nlp-architect,2020-04-12 11:34:38.000000,,222.0,222.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n505,Image Super-Resolution,idealo/image-super-resolution,,image,https://github.com/idealo/image-super-resolution,https://github.com/idealo/image-super-resolution,Apache-2.0,2018-11-26 13:41:13.000000,2020-11-11 15:09:20.000000,2020-11-11 15:09:19.000000,459.0,49.0,96.0,2401,138.0,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,9.0,21,True,2020-01-08 15:37:35.000000,2.2.0,11.0,ISR,,idealo/image-super-resolution-gpu,,['tensorflow'],42.0,38.0,https://pypi.org/project/ISR,2020-01-08 15:37:35.000000,4.0,2749.0,2753.0,,,,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,,120.0,3.0,,,,,,,,,,,,,,,,,,,,\n506,tensorflow-graphics,tensorflow/graphics,,image,https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44.000000,2021-01-11 22:12:49.000000,2020-10-30 10:26:19.000000,265.0,87.0,81.0,2386,566.0,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,30.0,21,True,2020-05-20 19:56:41.000000,2020.5.20,21.0,tensorflow-graphics,,,,['tensorflow'],3.0,,https://pypi.org/project/tensorflow-graphics,2020-05-20 19:56:41.000000,3.0,957.0,957.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n507,Luminoth,tryolabs/luminoth,,image,https://github.com/tryolabs/luminoth,https://github.com/tryolabs/luminoth,BSD-3-Clause,2017-02-16 15:07:46.000000,2020-12-24 21:01:24.000000,2020-01-07 20:53:25.000000,400.0,50.0,127.0,2332,838.0,Deep Learning toolkit for Computer Vision.,15.0,21,True,2018-10-31 22:19:52.000000,0.2.3,10.0,luminoth,,,,['tensorflow'],27.0,27.0,https://pypi.org/project/luminoth,2018-11-09 21:35:17.000000,,516.0,800.0,,,,,,,,3.0,11114.0,,,,,,,,,,,,,,,,,,,\n508,Porcupine,Picovoice/Porcupine,,audio,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000000,2021-01-12 23:38:54.000000,2021-01-12 23:38:35.000000,326.0,10.0,268.0,2289,357.0,On-device wake word detection powered by deep learning.,25.0,21,True,2020-12-02 15:34:40.000000,1.9,13.0,pvporcupine,,,,,4.0,4.0,https://pypi.org/project/pvporcupine,2020-10-02 19:16:49.000000,0.0,863.0,863.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n509,TensorTrade,tensortrade-org/tensortrade,,financial-data,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32.000000,2021-01-06 20:35:53.000000,2021-01-06 20:35:52.000000,568.0,33.0,118.0,2161,851.0,\"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.\",46.0,21,True,,,25.0,tensortrade,,,,,11.0,10.0,https://pypi.org/project/tensortrade,2020-08-24 18:26:46.000000,1.0,910.0,910.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n510,DeepVariant,google/deepvariant,,medical-data,https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000000,2020-12-14 23:35:28.000000,2020-12-14 23:35:27.000000,524.0,3.0,363.0,2155,1503.0,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,19.0,21,True,2020-12-07 17:56:31.000000,1.1.0,15.0,,bioconda/deepvariant,,,['tensorflow'],,,,,,,804.0,https://anaconda.org/bioconda/deepvariant,2020-09-05 07:25:11.429000,26065.0,,,,,3.0,2966.0,,,,,,,,,,,,,,,,,,,\n511,Texar,asyml/texar,,nlp,https://github.com/asyml/texar,https://github.com/asyml/texar,Apache-2.0,2017-07-22 19:02:05.000000,2020-09-17 07:03:55.000000,2020-07-29 00:38:30.000000,329.0,32.0,126.0,2086,1719.0,\"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the..\",41.0,21,True,2019-11-19 04:11:18.000000,0.2.4,6.0,texar,,,,['tensorflow'],14.0,12.0,https://pypi.org/project/texar,2019-11-19 04:11:18.000000,2.0,66.0,66.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n512,TF Ranking,tensorflow/ranking,,recommender-systems,https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57.000000,2020-08-29 04:38:20.000000,2020-08-19 20:44:22.000000,352.0,22.0,193.0,2010,213.0,Learning to Rank in TensorFlow.,17.0,21,True,2020-08-19 21:58:05.000000,0.3.2,14.0,tensorflow_ranking,,,,['tensorflow'],1.0,,https://pypi.org/project/tensorflow_ranking,2020-08-19 21:14:13.000000,1.0,19928.0,19928.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n513,PARL,PaddlePaddle/PARL,,reinforcement-learning,https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22.000000,2021-01-12 09:00:55.000000,2021-01-11 09:49:50.000000,410.0,52.0,148.0,1773,1.0,A high-performance distributed training framework for Reinforcement Learning.,21.0,21,True,2021-01-08 08:16:06.000000,1.4.1,16.0,parl,,,,['paddle'],65.0,65.0,https://pypi.org/project/parl,2021-01-08 08:16:06.000000,,372.0,372.0,,,,,,,,3.0,,2.0,,,,,,,,,,,,,,,,,,\n514,auto_ml,ClimbsRocks/auto_ml,,hyperopt,https://github.com/ClimbsRocks/auto_ml,https://github.com/ClimbsRocks/auto_ml,MIT,2016-08-07 21:35:08.000000,2020-12-29 07:56:49.000000,2018-03-25 19:46:25.000000,291.0,185.0,215.0,1513,1149.0,[UNMAINTAINED] Automated machine learning for analytics & production.,13.0,21,False,2018-02-22 01:13:03.000000,2.9.10,78.0,auto_ml,,,,,2.0,,https://pypi.org/project/auto_ml,2018-02-22 01:13:03.000000,2.0,1989.0,1989.0,,,,,,,,3.0,33.0,,,,,,,,,,,,,,,,,,,\n515,lore,instacart/lore,,ml-experiments,https://github.com/instacart/lore,https://github.com/instacart/lore,MIT,2017-10-19 21:51:45.000000,2021-01-05 17:20:41.000000,2020-05-11 22:26:45.000000,118.0,16.0,18.0,1509,270.0,Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers.,22.0,21,True,2020-05-11 22:28:23.000000,0.8.4,231.0,lore,,,,,17.0,16.0,https://pypi.org/project/lore,2020-05-11 22:28:23.000000,1.0,905.0,905.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n516,cleanlab,cgnorthcutt/cleanlab,,others,https://github.com/cgnorthcutt/cleanlab,https://github.com/cgnorthcutt/cleanlab,MIT,2018-05-11 01:55:21.000000,2021-01-10 15:00:49.000000,2021-01-10 15:00:49.000000,151.0,16.0,35.0,1407,697.0,The standard package for machine learning with noisy labels and finding mislabeled data in Python.,5.0,21,True,2020-02-17 07:33:06.000000,0.1.1,15.0,cleanlab,,,,,9.0,9.0,https://pypi.org/project/cleanlab,2020-02-17 07:33:06.000000,,2529.0,2529.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n517,Magnitude,plasticityai/magnitude,,nn-search,https://github.com/plasticityai/magnitude,https://github.com/plasticityai/magnitude,MIT,2018-02-24 07:28:16.000000,2020-07-17 20:19:50.000000,2020-07-17 20:19:46.000000,98.0,24.0,50.0,1376,350.0,\"A fast, efficient universal vector embedding utility package.\",4.0,21,True,2020-05-25 11:26:36.000000,0.1.143,128.0,pymagnitude,,,,,184.0,170.0,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36.000000,14.0,5739.0,5739.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n518,TensorFlow Privacy,tensorflow/privacy,,privacy-ml,https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000000,2021-01-08 18:02:49.000000,2021-01-07 14:02:37.000000,263.0,39.0,76.0,1307,431.0,Library for training machine learning models with privacy for training data.,33.0,21,True,2020-09-03 01:13:47.000000,.0.5.1,9.0,tensorflow-privacy,,,,['tensorflow'],1.0,,https://pypi.org/project/tensorflow-privacy,2020-09-03 01:10:15.000000,1.0,4187.0,4189.0,,,,,,,,2.0,41.0,,,,,,,,,,,,,,,,,,,\n519,Neural Tangents,google/neural-tangents,,ml-frameworks,https://github.com/google/neural-tangents,https://github.com/google/neural-tangents,Apache-2.0,2019-04-08 16:48:48.000000,2021-01-09 22:43:12.000000,2021-01-06 23:03:23.000000,142.0,25.0,49.0,1277,347.0,Fast and Easy Infinite Neural Networks in Python.,16.0,21,True,2020-11-18 04:34:54.000000,0.3.5,19.0,neural-tangents,,,,,12.0,12.0,https://pypi.org/project/neural-tangents,2020-11-18 04:23:35.000000,,514.0,525.0,,,,,,,,3.0,79.0,,,,,,,,,,,,,,,,,,,\n520,Pypeline,cgarciae/pypeln,,data-pipelines,https://github.com/cgarciae/pypeln,https://github.com/cgarciae/pypeln,MIT,2018-09-01 13:43:31.000000,2021-01-05 18:00:20.000000,2021-01-05 17:59:44.000000,66.0,12.0,35.0,1205,234.0,Concurrent data pipelines in Python .,9.0,21,True,2021-01-05 18:00:06.000000,0.4.7,34.0,pypeln,,,,,5.0,,https://pypi.org/project/pypeln,2021-01-05 18:00:06.000000,5.0,1951.0,1951.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n521,Torchmeta,tristandeleu/pytorch-meta,,pytorch-utils,https://github.com/tristandeleu/pytorch-meta,https://github.com/tristandeleu/pytorch-meta,MIT,2018-12-04 23:36:45.000000,2020-11-25 16:45:01.000000,2020-11-25 16:41:48.000000,128.0,19.0,69.0,1169,341.0,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.,10.0,21,True,2020-11-25 16:45:01.000000,1.6.1,26.0,torchmeta,,,,['pytorch'],24.0,24.0,https://pypi.org/project/torchmeta,2020-11-25 16:45:01.000000,,496.0,496.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n522,Karate Club,benedekrozemberczki/karateclub,,graph,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56.000000,2021-01-10 12:03:04.000000,2021-01-10 12:02:59.000000,131.0,1.0,46.0,1122,2096.0,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,11.0,21,False,2020-12-01 21:11:27.000000,_10022,95.0,karateclub,,,,,21.0,21.0,https://pypi.org/project/karateclub,2020-12-01 21:08:09.000000,,2592.0,2592.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n523,tensorrec,jfkirk/tensorrec,,recommender-systems,https://github.com/jfkirk/tensorrec,https://github.com/jfkirk/tensorrec,Apache-2.0,2017-02-28 18:51:11.000000,2020-07-30 02:47:12.000000,2020-02-04 21:10:25.000000,205.0,32.0,90.0,1113,334.0,A TensorFlow recommendation algorithm and framework in Python.,8.0,21,True,2019-04-02 00:53:47.000000,0.26.2,30.0,tensorrec,,,,['tensorflow'],24.0,23.0,https://pypi.org/project/tensorrec,2019-04-02 00:53:47.000000,1.0,1100.0,1100.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n524,TFEncrypted,tf-encrypted/tf-encrypted,,privacy-ml,https://github.com/tf-encrypted/tf-encrypted,https://github.com/tf-encrypted/tf-encrypted,Apache-2.0,2018-03-21 18:22:13.000000,2020-11-19 15:48:03.000000,2020-08-19 16:56:56.000000,133.0,162.0,230.0,811,595.0,A Framework for Encrypted Machine Learning in TensorFlow.,28.0,21,True,2019-09-27 20:00:01.000000,0.5.9,35.0,tf-encrypted,,,,['tensorflow'],54.0,46.0,https://pypi.org/project/tf-encrypted,2019-10-21 18:05:53.000000,8.0,358.0,358.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n525,scikit-cuda,lebedov/scikit-cuda,,gpu-utilities,https://github.com/lebedov/scikit-cuda,https://github.com/lebedov/scikit-cuda,BSD-3-Clause,2010-09-27 02:02:07.000000,2020-07-13 12:48:39.000000,2020-07-13 12:47:46.000000,154.0,36.0,163.0,788,1026.0,Python interface to GPU-powered libraries.,44.0,21,True,2019-05-27 00:29:00.000000,0.5.3,7.0,scikit-cuda,,,,,143.0,112.0,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00.000000,31.0,523.0,523.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n526,iNNvestigate,albermax/innvestigate,,interpretability,https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20.000000,2020-12-30 15:22:24.000000,2020-10-16 15:26:56.000000,168.0,72.0,126.0,747,882.0,A toolbox to iNNvestigate neural networks' predictions!.,18.0,21,True,2019-03-19 14:31:31.000000,1.0.9,2.0,innvestigate,,,,['tensorflow'],44.0,43.0,https://pypi.org/project/innvestigate,2020-11-14 11:35:59.000000,1.0,369.0,369.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n527,Opacus,pytorch/opacus,,privacy-ml,https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000000,2021-01-12 05:05:57.000000,2021-01-12 05:05:51.000000,90.0,5.0,48.0,706,203.0,Training PyTorch models with differential privacy.,23.0,21,True,2020-12-17 17:30:40.000000,0.11.0,6.0,opacus,,,,['pytorch'],10.0,10.0,https://pypi.org/project/opacus,2020-12-17 17:30:40.000000,,739.0,742.0,,,,,,,,2.0,30.0,,,,,,,,,,,,,,,,,,,\n528,AstroML,astroML/astroML,,others,https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50.000000,2020-09-09 15:52:15.000000,2020-09-09 15:52:13.000000,247.0,48.0,80.0,706,508.0,\"Machine learning, statistics, and data mining for astronomy and astrophysics.\",29.0,21,True,2019-10-02 06:32:58.000000,0.4.1,10.0,astroML,conda-forge/astroml,,,['sklearn'],187.0,158.0,https://pypi.org/project/astroML,2020-03-23 23:20:49.000000,29.0,517.0,1035.0,https://anaconda.org/conda-forge/astroml,2020-02-16 04:18:54.678000,21270.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n529,Madmom,CPJKU/madmom,,audio,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06.000000,2020-04-14 03:42:18.000000,2019-12-19 14:46:37.000000,117.0,43.0,177.0,702,1722.0,Python audio and music signal processing library.,19.0,21,False,2018-11-14 14:57:41.000000,0.16.1,11.0,madmom,,,,,122.0,114.0,https://pypi.org/project/madmom,2018-11-14 14:56:22.000000,8.0,1129.0,1129.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n530,ogb,snap-stanford/ogb,,graph,https://github.com/snap-stanford/ogb,https://github.com/snap-stanford/ogb,MIT,2019-11-22 22:13:57.000000,2021-01-11 19:09:05.000000,2021-01-11 19:09:04.000000,95.0,,86.0,701,395.0,\"Benchmark datasets, data loaders, and evaluators for graph machine learning.\",12.0,21,True,2020-12-29 18:13:08.000000,1.2.4,10.0,ogb,,,,,39.0,39.0,https://pypi.org/project/ogb,2020-12-29 18:08:55.000000,0.0,1623.0,1623.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n531,gmaps,pbugnion/gmaps,,geospatial-data,https://github.com/pbugnion/gmaps,https://github.com/pbugnion/gmaps,BSD-3-Clause,2014-12-01 09:12:06.000000,2020-10-13 07:09:18.000000,2019-07-22 06:22:45.000000,141.0,63.0,135.0,696,1380.0,Google maps for Jupyter notebooks.,16.0,21,False,2019-07-21 08:49:48.715000,0.9.0,93.0,gmaps,conda-forge/gmaps,,,['jupyter'],38.0,1.0,https://pypi.org/project/gmaps,2019-07-20 07:47:04.000000,37.0,3329.0,9033.0,https://anaconda.org/conda-forge/gmaps,2019-08-02 11:56:50.940000,200992.0,,,,,3.0,,,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715000,,1136.0,,,,,,,,,,,,\n532,Darts,unit8co/darts,,time-series-data,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000000,2021-01-10 09:55:27.000000,2020-11-09 15:33:02.000000,84.0,16.0,41.0,688,284.0,A python library for easy manipulation and forecasting of time series.,23.0,21,True,2020-11-09 16:00:41.000000,0.5.0,8.0,u8darts,,unit8/darts,,,11.0,11.0,https://pypi.org/project/u8darts,2020-11-09 16:00:41.000000,,912.0,914.0,,,,https://hub.docker.com/r/unit8/darts,2020-10-06 11:35:55.085411,,75.0,3.0,,,,,,,,,,,,,,,,,,,,\n533,fairlearn,fairlearn/fairlearn,,interpretability,https://github.com/fairlearn/fairlearn,https://github.com/fairlearn/fairlearn,MIT,2018-05-15 01:51:35.000000,2021-01-12 17:53:18.000000,2021-01-12 11:41:54.000000,155.0,69.0,109.0,649,549.0,A Python package to assess and improve fairness of machine learning models.,29.0,21,True,2020-11-10 15:01:51.000000,0.5.0,12.0,fairlearn,conda-forge/fairlearn,,,['sklearn'],1.0,,https://pypi.org/project/fairlearn,2020-11-10 13:19:12.000000,1.0,3439.0,4179.0,https://anaconda.org/conda-forge/fairlearn,2020-11-11 16:56:35.159000,8149.0,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n534,Sentinelsat,sentinelsat/sentinelsat,,geospatial-data,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26.000000,2021-01-06 12:25:30.000000,2020-12-28 20:01:10.000000,162.0,29.0,205.0,535,771.0,Search and download Copernicus Sentinel satellite images.,34.0,21,False,2020-06-12 07:15:51.000000,0.14,36.0,sentinelsat,,,,,178.0,156.0,https://pypi.org/project/sentinelsat,2020-06-12 07:08:37.000000,22.0,7034.0,7037.0,,,,,,,,3.0,189.0,,,,,,,,,,,,,,,,,,,\n535,pickleDB,patx/pickledb,,data-containers,https://github.com/patx/pickledb,https://github.com/patx/pickledb,BSD-3-Clause,2011-10-28 00:04:40.000000,2020-08-25 09:47:52.000000,2019-11-15 03:38:30.000000,92.0,16.0,39.0,533,105.0,pickleDB is an open source key-value store using Python's json module.,11.0,21,False,2019-01-13 22:40:32.000000,0.9.1,19.0,pickledb,,,,,546.0,444.0,https://pypi.org/project/pickledb,2019-01-13 22:40:32.000000,102.0,17512.0,17512.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n536,optunity,claesenm/optunity,,hyperopt,https://github.com/claesenm/optunity,https://github.com/claesenm/optunity,BSD-3-Clause,2014-05-28 17:29:11.000000,2020-05-11 14:32:39.000000,2020-05-11 14:32:38.000000,72.0,45.0,48.0,364,782.0,optimization routines for hyperparameter tuning.,9.0,21,True,2015-09-30 05:02:00.000000,1.1.1,6.0,optunity,,,,,65.0,58.0,https://pypi.org/project/optunity,2015-09-30 05:02:00.000000,7.0,10902.0,10902.0,,,,,,,,3.0,62.0,,,,,,,,True,,,,,,,,,,,\n537,Pandas Summary,mouradmourafiq/pandas-summary,,data-containers,https://github.com/mouradmourafiq/pandas-summary,https://github.com/mouradmourafiq/pandas-summary,MIT,2016-03-25 21:59:32.000000,2019-08-24 21:10:25.000000,2019-08-24 21:10:24.000000,33.0,8.0,5.0,358,24.0,An extension to pandas dataframes describe function.,6.0,21,False,2016-08-30 07:54:59.000000,0.0.41,8.0,pandas-summary,,,,['pandas'],570.0,551.0,https://pypi.org/project/pandas-summary,2016-08-30 07:54:59.000000,19.0,20859.0,20859.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n538,Neuraxle,Neuraxio/Neuraxle,,hyperopt,https://github.com/Neuraxio/Neuraxle,https://github.com/Neuraxio/Neuraxle,Apache-2.0,2019-03-26 21:01:54.000000,2021-01-12 19:17:19.000000,2021-01-12 03:35:32.000000,39.0,118.0,130.0,351,1324.0,A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right..,7.0,21,True,2020-09-20 16:29:39.000000,0.5.6,18.0,neuraxle,,,,,17.0,17.0,https://pypi.org/project/neuraxle,2020-09-20 16:29:39.000000,0.0,301.0,301.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n539,PyTorch Sparse,rusty1s/pytorch_sparse,,pytorch-utils,https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53.000000,2021-01-11 21:13:02.000000,2021-01-11 21:12:58.000000,43.0,32.0,49.0,336,510.0,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,12.0,21,True,2020-11-02 10:42:59.000000,0.6.8,21.0,torch-sparse,,,,['pytorch'],17.0,,https://pypi.org/project/torch-sparse,2020-11-02 10:43:20.000000,17.0,4444.0,4444.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n540,aequitas,dssg/aequitas,,interpretability,https://github.com/dssg/aequitas,https://github.com/dssg/aequitas,MIT,2018-02-13 19:40:30.000000,2021-01-11 16:31:09.000000,2020-12-20 16:40:35.000000,62.0,33.0,20.0,336,853.0,Bias and Fairness Audit Toolkit.,15.0,21,True,2020-08-23 23:38:51.000000,0.42.0,16.0,aequitas,,,,,65.0,62.0,https://pypi.org/project/aequitas,2020-12-16 11:48:14.000000,3.0,218.0,218.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n541,torch-cluster,rusty1s/pytorch_cluster,,graph,https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06.000000,2021-01-03 16:07:26.000000,2021-01-03 16:07:22.000000,67.0,35.0,37.0,321,499.0,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,17.0,21,True,2020-10-31 14:42:35.000000,1.5.8,38.0,torch-cluster,,,,['pytorch'],32.0,,https://pypi.org/project/torch-cluster,2020-10-31 14:42:35.000000,32.0,3019.0,3019.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n542,BioPandas,rasbt/biopandas,,others,https://github.com/rasbt/biopandas,https://github.com/rasbt/biopandas,BSD-3-Clause,2015-11-21 00:00:14.000000,2021-01-01 17:08:09.000000,2021-01-01 17:08:08.000000,76.0,16.0,18.0,317,144.0,Working with molecular structures in pandas DataFrames.,7.0,21,True,2020-08-04 13:52:27.000000,0.2.7,11.0,biopandas,conda-forge/biopandas,,,['pandas'],53.0,47.0,https://pypi.org/project/biopandas,2020-08-04 13:49:59.000000,6.0,197.0,1450.0,https://anaconda.org/conda-forge/biopandas,2020-08-08 06:33:59.197000,61431.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n543,joypy,sbebo/joypy,,data-viz,https://github.com/sbebo/joypy,https://github.com/sbebo/joypy,MIT,2017-07-30 17:18:50.000000,2020-12-28 14:07:53.760000,2020-12-28 11:56:12.000000,32.0,4.0,34.0,312,108.0,Joyplots in Python with matplotlib & pandas.,5.0,21,True,2020-12-28 11:54:36.000000,0.2.4,16.0,joypy,conda-forge/joypy,,,,67.0,61.0,https://pypi.org/project/joypy,2020-12-28 11:54:36.000000,6.0,3151.0,3503.0,https://anaconda.org/conda-forge/joypy,2020-12-28 14:07:53.760000,7762.0,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n544,SDV,sdv-dev/SDV,,data-loading,https://github.com/sdv-dev/SDV,https://github.com/sdv-dev/SDV,MIT,2018-05-11 15:56:50.000000,2021-01-09 11:28:02.000000,2021-01-09 11:28:01.000000,54.0,43.0,128.0,301,756.0,\"Synthetic Data Generation for tabular, relational and time series data.\",32.0,21,True,2020-12-31 15:58:42.000000,0.6.1,34.0,sdv,,,,,12.0,12.0,https://pypi.org/project/sdv,2020-12-31 15:57:53.000000,0.0,1084.0,1084.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n545,caer,jasmcaus/caer,,image,https://github.com/jasmcaus/caer,https://github.com/jasmcaus/caer,MIT,2020-08-06 18:36:14.000000,2021-01-12 09:23:11.000000,2021-01-12 09:23:23.000000,38.0,4.0,6.0,297,4770.0,\"A lightweight, scalable Computer Vision library for high-performance AI research.\",2.0,21,True,2020-12-09 06:54:27.000000,1.9.4,105.0,caer,,,,,0.0,,https://pypi.org/project/caer,2020-12-09 06:52:51.000000,0.0,759899.0,759901.0,,,,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,,\n546,NIPY,nipy/nipy,,medical-data,https://github.com/nipy/nipy,https://github.com/nipy/nipy,DSDP,2010-05-02 10:00:33.000000,2020-11-24 19:22:47.000000,2020-10-14 22:51:30.000000,123.0,43.0,104.0,289,6371.0,Neuroimaging in Python FMRI analysis package.,63.0,21,False,2018-02-19 14:14:08.000000,0.4.2,6.0,nipy,conda-forge/nipy,,,,29.0,,https://pypi.org/project/nipy,2018-02-19 14:14:08.000000,29.0,700.0,2370.0,https://anaconda.org/conda-forge/nipy,2020-05-04 19:38:04.112000,70149.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n547,datatest,shawnbrown/datatest,,data-loading,https://github.com/shawnbrown/datatest,https://github.com/shawnbrown/datatest,Apache-2.0,2016-05-12 13:16:27.000000,2021-01-04 03:46:38.000000,2021-01-04 03:46:06.000000,13.0,9.0,42.0,230,2127.0,Tools for test driven data-wrangling and data validation.,6.0,21,True,2021-01-04 03:43:58.000000,0.11.1,17.0,datatest,,,,,30.0,28.0,https://pypi.org/project/datatest,2021-01-04 03:39:40.000000,2.0,2278.0,2278.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n548,pymap3d,geospace-code/pymap3d,,geospatial-data,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03.000000,2020-12-23 03:44:01.000000,2020-12-23 03:43:54.000000,55.0,2.0,22.0,170,622.0,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,8.0,21,True,2020-09-21 15:20:10.000000,2.4.3,45.0,pymap3d,conda-forge/pymap3d,,,,3.0,,https://pypi.org/project/pymap3d,2020-09-21 15:16:49.000000,3.0,8984.0,9572.0,https://anaconda.org/conda-forge/pymap3d,2020-09-24 05:54:07.357000,5888.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n549,scikit-posthocs,maximtrp/scikit-posthocs,,probabilistics,https://github.com/maximtrp/scikit-posthocs,https://github.com/maximtrp/scikit-posthocs,MIT,2017-06-22 19:41:37.000000,2020-10-19 08:16:22.000000,2020-10-19 08:16:21.000000,18.0,4.0,31.0,169,430.0,Pairwise Multiple Comparisons (Post Hoc) Tests in Python.,7.0,21,True,2020-10-12 19:15:07.000000,0.6.6,20.0,scikit-posthocs,,,,['sklearn'],103.0,100.0,https://pypi.org/project/scikit-posthocs,2020-10-12 19:06:51.000000,3.0,8881.0,8881.0,,,,,,,,3.0,16.0,,,,,,,,True,,,,,,,,,,,\n550,gokart,m3dev/gokart,,ml-experiments,https://github.com/m3dev/gokart,https://github.com/m3dev/gokart,MIT,2018-12-23 07:40:27.000000,2021-01-12 08:24:01.000000,2021-01-12 08:20:01.000000,30.0,9.0,20.0,156,311.0,A wrapper of the data pipeline library luigi.,24.0,21,True,2021-01-12 08:30:06.000000,0.3.23,46.0,gokart,,,,,30.0,28.0,https://pypi.org/project/gokart,2020-02-25 06:01:19.000000,2.0,480.0,480.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n551,Dejavu,worldveil/dejavu,,audio,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35.000000,2020-10-29 17:40:17.000000,2020-06-03 05:58:03.000000,1236.0,83.0,129.0,5286,146.0,Audio fingerprinting and recognition in Python.,23.0,20,True,2015-04-19 21:20:16.000000,0.1.3,4.0,PyDejavu,,,,,17.0,16.0,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16.000000,1.0,110.0,110.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n552,cuDF,rapidsai/cudf,,gpu-utilities,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000000,2021-01-12 23:54:16.000000,2021-01-12 23:52:27.000000,470.0,565.0,2708.0,3592,,cuDF - GPU DataFrame Library.,197.0,20,True,2020-12-10 17:28:54.000000,0.17.0,5.0,cudf,,,,,2.0,,https://pypi.org/project/cudf,2020-06-01 20:07:47.000000,2.0,709.0,709.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n553,DeepMatcher,anhaidgroup/deepmatcher,,nlp,https://github.com/anhaidgroup/deepmatcher,https://github.com/anhaidgroup/deepmatcher,BSD-3-Clause,2017-12-01 19:01:11.000000,2020-09-27 17:25:56.000000,2020-04-20 02:34:24.000000,1265.0,47.0,15.0,3364,169.0,Python package for performing Entity and Text Matching using Deep Learning.,7.0,20,True,2019-12-30 19:49:33.000000,0.1.1,9.0,deepmatcher,,,,,9.0,9.0,https://pypi.org/project/deepmatcher,2019-12-30 19:49:33.000000,,263.0,263.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n554,MindsDB,mindsdb/mindsdb,,ml-frameworks,https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,GPL-3.0,2018-08-02 17:56:45.000000,2021-01-12 21:37:54.000000,2020-12-25 08:31:25.000000,406.0,36.0,467.0,3132,,Predictive AI layer for existing databases.,55.0,20,False,2020-12-25 13:03:50.000000,2.17.1,42.0,mindsdb,,,,['pytorch'],3.0,,https://pypi.org/project/mindsdb,2019-03-19 05:07:23.000000,3.0,2456.0,2456.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n555,TRFL,deepmind/trfl,,reinforcement-learning,https://github.com/deepmind/trfl,https://github.com/deepmind/trfl,Apache-2.0,2018-08-08 14:44:11.000000,2020-11-06 04:44:44.000000,2020-04-20 13:05:56.000000,372.0,6.0,16.0,3060,116.0,TensorFlow Reinforcement Learning.,12.0,20,True,2020-04-20 14:11:57.000000,1.1.0,4.0,trfl,,,,['tensorflow'],38.0,36.0,https://pypi.org/project/trfl,2020-04-20 14:11:57.000000,2.0,634.0,634.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n556,DALI,NVIDIA/DALI,,gpu-utilities,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000000,2021-01-12 22:24:53.000000,2021-01-12 13:38:30.000000,363.0,181.0,594.0,3026,1653.0,A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep..,53.0,20,True,2020-12-30 12:56:47.000000,0.29.0,35.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n557,FATE,FederatedAI/FATE,,privacy-ml,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000000,2021-01-12 11:03:01.000000,2021-01-12 08:07:00.000000,784.0,258.0,520.0,2684,6607.0,An Industrial Grade Federated Learning Framework.,50.0,20,True,2020-11-13 13:36:14.000000,1.5.0,24.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n558,dpark,douban/dpark,,data-pipelines,https://github.com/douban/dpark,https://github.com/douban/dpark,BSD-3-Clause,2012-04-11 08:35:06.000000,2020-12-25 10:36:06.000000,2020-12-25 10:36:05.000000,554.0,,60.0,2641,1467.0,\"Python clone of Spark, a MapReduce alike framework in Python.\",35.0,20,True,2018-07-27 04:11:36.000000,0.5.0,19.0,dpark,,,,['spark'],4.0,3.0,https://pypi.org/project/dpark,2018-07-27 04:11:36.000000,1.0,19.0,19.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n559,image-match,EdjoLabs/image-match,,image,https://github.com/EdjoLabs/image-match,https://github.com/EdjoLabs/image-match,Apache-2.0,2016-03-08 18:16:45.000000,2021-01-04 18:36:01.000000,2021-01-04 18:35:59.000000,347.0,47.0,47.0,2495,404.0,Quickly search over billions of images.,17.0,20,True,2017-02-13 14:54:48.000000,1.1.2,10.0,image_match,,,,,3.0,,https://pypi.org/project/image_match,2017-02-13 14:54:48.000000,3.0,300.0,300.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n560,StreamAlert,airbnb/streamalert,,others,https://github.com/airbnb/streamalert,https://github.com/airbnb/streamalert,Apache-2.0,2017-01-22 01:10:56.000000,2021-01-12 21:01:55.000000,2020-10-05 21:15:11.000000,281.0,90.0,247.0,2447,1892.0,\"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data..\",30.0,20,True,2020-10-05 21:50:56.000000,3.4.1,27.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n561,gpt-2-simple,minimaxir/gpt-2-simple,,nlp,https://github.com/minimaxir/gpt-2-simple,https://github.com/minimaxir/gpt-2-simple,MIT,2019-04-13 20:00:52.000000,2020-11-13 18:28:40.000000,2020-04-24 02:31:04.000000,489.0,129.0,89.0,2436,130.0,Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts.,16.0,20,True,2019-12-28 04:05:21.000000,0.7.1,15.0,gpt-2-simple,,,,['tensorflow'],3.0,,https://pypi.org/project/gpt-2-simple,2019-12-28 04:03:29.000000,3.0,5778.0,5786.0,,,,,,,,3.0,187.0,,,,,,,,True,,,,,,,,,,,\n562,finmarketpy,cuemacro/finmarketpy,,financial-data,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03.000000,2021-01-11 12:39:42.000000,2021-01-11 12:39:36.000000,411.0,21.0,3.0,2433,650.0,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,14.0,20,True,2020-10-20 09:25:52.000000,0.11.7,8.0,finmarketpy,,,,,3.0,3.0,https://pypi.org/project/finmarketpy,2020-10-20 09:28:00.000000,,67.0,67.0,,,,,,,,3.0,39.0,,,,,,,,,,,,,,,,,,,\n563,NeMo,NVIDIA/NeMo,,nlp,https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000000,2021-01-12 22:46:58.000000,2021-01-12 21:59:36.000000,360.0,159.0,243.0,2304,,NeMo: a toolkit for conversational AI.,67.0,20,True,2020-07-10 00:01:18.000000,0.11.0,36.0,nemo-toolkit,,,,['pytorch'],4.0,,https://pypi.org/project/nemo-toolkit,2020-12-11 21:33:53.000000,4.0,1769.0,1780.0,,,,,,,,3.0,189.0,,,,,,,,,,,,,,,,,,,\n564,Hummingbird,microsoft/hummingbird,,model-serialisation,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000000,2021-01-12 23:40:32.000000,2021-01-12 22:32:47.000000,152.0,49.0,129.0,2150,,Hummingbird compiles trained ML models into tensor computation for faster inference.,18.0,20,True,2021-01-04 22:16:04.000000,0.2.1,9.0,hummingbird-ml,,,,,12.0,12.0,https://pypi.org/project/hummingbird-ml,2021-01-04 22:14:22.000000,,801.0,812.0,,,,,,,,3.0,88.0,,,,,,,,,,,,,,,,,,,\n565,Texthero,jbesomi/texthero,,nlp,https://github.com/jbesomi/texthero,https://github.com/jbesomi/texthero,MIT,2020-04-06 15:16:05.000000,2020-12-09 16:49:27.000000,2020-11-03 07:58:36.000000,177.0,73.0,48.0,2042,267.0,\"Text preprocessing, representation and visualization from zero to hero.\",18.0,20,True,2020-07-06 20:32:28.000000,1.0.9,9.0,texthero,,,,,,,https://pypi.org/project/texthero,2020-07-06 20:29:25.000000,,2405.0,2411.0,,,,,,,,3.0,61.0,,,,,,,,,,,,,,,,,,,\n566,pdftabextract,WZBSocialScienceCenter/pdftabextract,,ocr,https://github.com/WZBSocialScienceCenter/pdftabextract,https://github.com/WZBSocialScienceCenter/pdftabextract,Apache-2.0,2016-07-08 11:44:46.000000,2020-12-28 00:52:23.000000,2018-10-26 13:57:02.000000,327.0,2.0,18.0,1886,168.0,A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.,2.0,20,False,2018-01-09 08:00:24.000000,0.3.0,5.0,pdftabextract,,,,,36.0,36.0,https://pypi.org/project/pdftabextract,2018-01-09 08:00:24.000000,,332.0,332.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n567,AmpliGraph,Accenture/AmpliGraph,,graph,https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05.000000,2020-08-25 17:19:24.000000,2020-08-25 17:00:58.000000,154.0,18.0,155.0,1407,895.0,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,14.0,20,True,2020-08-25 17:06:46.000000,1.3.2,11.0,ampligraph,,,,['tensorflow'],9.0,9.0,https://pypi.org/project/ampligraph,2020-08-25 16:59:58.000000,,507.0,507.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n568,DELTA,Delta-ML/delta,,nlp,https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57.000000,2021-01-12 17:22:27.770776,2020-12-17 06:57:15.000000,269.0,9.0,66.0,1366,932.0,DELTA is a deep learning based natural language and speech processing platform.,41.0,20,True,2020-07-16 09:31:45.000000,0.3.3,4.0,delta-nlp,,zh794390558/delta,,['tensorflow'],,,https://pypi.org/project/delta-nlp,2020-03-27 04:46:19.000000,,15.0,599.0,,,,https://hub.docker.com/r/zh794390558/delta,2021-01-12 17:22:27.770776,,11696.0,3.0,,,,,,,,,,,,,,,,,,,,\n569,hiddenlayer,waleedka/hiddenlayer,,ml-experiments,https://github.com/waleedka/hiddenlayer,https://github.com/waleedka/hiddenlayer,MIT,2018-05-18 22:34:51.000000,2020-04-24 07:32:11.000000,2020-04-24 06:58:09.000000,193.0,43.0,32.0,1363,58.0,\"Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.\",6.0,20,True,2018-12-03 04:33:29.000000,0.2,3.0,hiddenlayer,,,,\"['pytorch', 'tensorflow', 'jupyter']\",56.0,52.0,https://pypi.org/project/hiddenlayer,2020-04-24 07:32:11.000000,4.0,1133.0,1133.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n570,reformer-pytorch,lucidrains/reformer-pytorch,,pytorch-utils,https://github.com/lucidrains/reformer-pytorch,https://github.com/lucidrains/reformer-pytorch,MIT,2020-01-09 20:42:37.000000,2020-12-11 17:49:44.000000,2020-12-11 17:49:36.000000,161.0,1.0,92.0,1307,236.0,\"Reformer, the efficient Transformer, in Pytorch.\",9.0,20,True,2020-12-06 23:07:32.000000,1.2.4,132.0,reformer-pytorch,,,,['pytorch'],,,https://pypi.org/project/reformer-pytorch,2020-12-06 23:08:09.000000,,939.0,939.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n571,ThunderSVM,Xtra-Computing/thundersvm,,ml-frameworks,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04.000000,2020-12-14 03:08:11.000000,2020-12-14 03:08:11.000000,164.0,42.0,144.0,1253,896.0,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,33.0,20,True,2020-03-13 12:36:30.000000,0.3.12,9.0,thundersvm,,,,,,,https://pypi.org/project/thundersvm,2020-03-13 12:36:30.000000,,368.0,410.0,,,,,,,,3.0,2100.0,,,,,,,,,,,,,,,,,,,\n572,checklist,marcotcr/checklist,,interpretability,https://github.com/marcotcr/checklist,https://github.com/marcotcr/checklist,MIT,2020-03-09 17:18:49.000000,2020-12-30 23:14:48.000000,2020-12-16 19:26:13.000000,97.0,3.0,53.0,1178,209.0,Beyond Accuracy: Behavioral Testing of NLP models with CheckList.,7.0,20,True,2020-09-21 18:30:40.000000,0.0.10,9.0,checklist,,,,['jupyter'],7.0,5.0,https://pypi.org/project/checklist,2020-09-21 18:30:40.000000,2.0,244.0,244.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n573,datatable,h2oai/datatable,,data-containers,https://github.com/h2oai/datatable,https://github.com/h2oai/datatable,MPL-2.0,2017-03-03 02:32:59.000000,2021-01-12 08:48:14.000000,2021-01-12 08:48:12.000000,95.0,112.0,1102.0,1086,,A Python package for manipulating 2-dimensional tabular data structures.,28.0,20,True,2020-12-10 09:10:50.000000,0.11.1,15.0,datatable,,,,,6.0,,https://pypi.org/project/datatable,2020-12-10 08:04:03.000000,6.0,16423.0,16440.0,,,,,,,,3.0,733.0,,,,,,,,,,,,,,,,,,,\n574,FARM,deepset-ai/FARM,,nlp,https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12.000000,2021-01-12 17:34:30.000000,2021-01-12 17:18:36.000000,146.0,32.0,285.0,1070,517.0,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,29.0,20,True,2021-01-12 17:34:55.000000,0.6.1,21.0,farm,,,,['pytorch'],2.0,,https://pypi.org/project/farm,2021-01-12 17:34:30.000000,2.0,4363.0,4363.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n575,Classy Vision,facebookresearch/ClassyVision,,image,https://github.com/facebookresearch/ClassyVision,https://github.com/facebookresearch/ClassyVision,MIT,2019-09-13 22:54:44.000000,2021-01-11 18:22:22.000000,2021-01-06 01:05:18.000000,188.0,46.0,42.0,1042,317.0,An end-to-end PyTorch framework for image and video classification.,53.0,20,True,2020-11-20 16:42:56.000000,0.5.0,15.0,classy_vision,conda-forge/classy_vision,,,['pytorch'],,,https://pypi.org/project/classy_vision,2020-11-20 21:02:29.000000,,167.0,624.0,https://anaconda.org/conda-forge/classy_vision,2020-12-11 20:08:25.437000,5484.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n576,Sockeye,awslabs/sockeye,,nlp,https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30.000000,2021-01-11 18:32:41.000000,2021-01-08 08:07:29.000000,290.0,21.0,220.0,981,732.0,Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet.,52.0,20,True,2021-01-08 08:11:37.000000,2.3.8,61.0,sockeye,,,,['mxnet'],2.0,,https://pypi.org/project/sockeye,2021-01-08 08:11:37.000000,2.0,555.0,555.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n577,TensorNets,taehoonlee/tensornets,,tensorflow-utils,https://github.com/taehoonlee/tensornets,https://github.com/taehoonlee/tensornets,MIT,2017-09-19 05:19:01.000000,2021-01-02 06:28:10.000000,2021-01-02 06:26:24.000000,184.0,14.0,42.0,973,284.0,High level network definitions with pre-trained weights in TensorFlow.,6.0,20,True,2020-03-31 04:38:27.000000,0.4.6,12.0,tensornets,,,,['tensorflow'],31.0,29.0,https://pypi.org/project/tensornets,2020-03-31 04:35:15.000000,2.0,284.0,284.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n578,Skater,oracle/Skater,,interpretability,https://github.com/oracle/Skater,https://github.com/oracle/Skater,UPL-1.0,2017-01-26 05:45:42.000000,2020-11-01 15:57:12.273000,2020-06-29 20:07:12.000000,156.0,62.0,97.0,963,1101.0,Python Library for Model Interpretation/Explanations.,34.0,20,False,2018-09-21 07:03:32.000000,1.1.2,23.0,skater,conda-forge/skater,,,,,,https://pypi.org/project/skater,2018-09-21 07:03:32.000000,,6962.0,7712.0,https://anaconda.org/conda-forge/skater,2020-11-01 15:57:12.273000,32266.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n579,Haiku,deepmind/dm-haiku,,ml-frameworks,https://github.com/deepmind/dm-haiku,https://github.com/deepmind/dm-haiku,Apache-2.0,2020-02-18 07:14:02.000000,2021-01-12 21:24:38.000000,2021-01-12 21:24:09.000000,64.0,18.0,48.0,897,444.0,JAX-based neural network library.,32.0,20,True,2020-11-24 11:25:05.000000,0.0.3,5.0,,,,,,56.0,56.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n580,fastFM,ibayer/fastFM,,recommender-systems,https://github.com/ibayer/fastFM,https://github.com/ibayer/fastFM,BSD-3-Clause,2014-10-27 12:25:51.000000,2020-03-05 14:57:53.000000,2020-03-05 14:57:52.000000,186.0,44.0,58.0,890,291.0,fastFM: A Library for Factorization Machines.,19.0,20,True,2017-11-23 06:59:56.000000,0.2.11,10.0,fastfm,,,,,76.0,72.0,https://pypi.org/project/fastfm,2017-11-23 06:59:56.000000,4.0,509.0,514.0,,,,,,,,3.0,370.0,,,,,,,,True,,,,,,,,,,,\n581,pyts,johannfaouzi/pyts,,time-series-data,https://github.com/johannfaouzi/pyts,https://github.com/johannfaouzi/pyts,BSD-3-Clause,2017-07-31 09:23:16.000000,2020-09-12 14:41:49.000000,2020-04-30 12:28:12.000000,92.0,23.0,18.0,847,360.0,A Python package for time series classification.,7.0,20,True,2020-03-21 12:41:33.000000,0.11.0,17.0,pyts,conda-forge/pyts,,,,81.0,79.0,https://pypi.org/project/pyts,2020-03-21 12:36:40.000000,2.0,2101.0,2443.0,https://anaconda.org/conda-forge/pyts,2020-03-21 14:08:24.734000,5828.0,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n582,mrq,pricingassistant/mrq,,data-pipelines,https://github.com/pricingassistant/mrq,https://github.com/pricingassistant/mrq,MIT,2014-02-13 09:32:40.000000,2021-01-07 22:22:25.000000,2020-12-13 18:58:15.000000,113.0,58.0,119.0,829,709.0,Mr. Queue - A distributed worker task queue in Python using Redis & gevent.,37.0,20,True,2018-08-31 16:03:04.000000,0.9.10,70.0,mrq,,,,,35.0,23.0,https://pypi.org/project/mrq,2018-08-31 16:03:04.000000,12.0,262.0,262.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n583,attention-ocr,emedvedev/attention-ocr,,ocr,https://github.com/emedvedev/attention-ocr,https://github.com/emedvedev/attention-ocr,MIT,2017-07-21 18:35:19.000000,2020-10-31 19:40:20.000000,2020-10-31 19:40:19.000000,226.0,16.0,125.0,822,196.0,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,27.0,20,True,2020-10-12 06:56:40.000000,0.7.6,21.0,aocr,,,,['tensorflow'],15.0,15.0,https://pypi.org/project/aocr,2019-04-19 05:28:27.000000,,133.0,133.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n584,nude.py,hhatto/nude.py,,image,https://github.com/hhatto/nude.py,https://github.com/hhatto/nude.py,MIT,2013-06-09 06:55:55.000000,2020-11-23 13:49:32.000000,2020-11-23 13:49:02.000000,128.0,6.0,2.0,787,79.0,Nudity detection with Python.,12.0,20,True,2020-11-23 13:49:17.000000,0.5.1,10.0,nudepy,,,,,62.0,53.0,https://pypi.org/project/nudepy,2020-11-23 13:49:17.000000,9.0,592.0,592.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n585,tf-explain,sicara/tf-explain,,interpretability,https://github.com/sicara/tf-explain,https://github.com/sicara/tf-explain,MIT,2019-07-15 08:26:24.000000,2021-01-05 16:15:09.000000,2021-01-05 16:15:08.000000,68.0,34.0,41.0,749,193.0,Interpretability Methods for tf.keras models with Tensorflow 2.x.,12.0,20,True,2020-02-14 09:00:00.000000,0.2.1,6.0,tf-explain,,,,['tensorflow'],59.0,58.0,https://pypi.org/project/tf-explain,2020-02-14 09:04:51.000000,1.0,972.0,972.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n586,keras-ocr,faustomorales/keras-ocr,,ocr,https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50.000000,2020-12-11 02:31:17.000000,2020-11-26 17:18:25.000000,166.0,28.0,95.0,739,161.0,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,9.0,20,True,2020-11-26 17:19:39.000000,0.8.6,26.0,keras-ocr,,,,['tensorflow'],1.0,,https://pypi.org/project/keras-ocr,2020-11-26 17:19:39.000000,1.0,1502.0,4811.0,,,,,,,,3.0,13237.0,,,,,,,,,,,,,,,,,,,\n587,mljar-supervised,mljar/mljar-supervised,,hyperopt,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000000,2021-01-12 20:38:38.000000,2021-01-12 20:38:23.000000,96.0,50.0,216.0,736,718.0,Automates Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning.,7.0,20,True,2021-01-12 12:30:54.000000,0.7.19,53.0,mljar-supervised,,,,,9.0,9.0,https://pypi.org/project/mljar-supervised,2021-01-12 12:19:07.000000,,2885.0,2885.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n588,rows,turicas/rows,,data-loading,https://github.com/turicas/rows,https://github.com/turicas/rows,LGPL-3.0,2014-05-07 05:43:11.000000,2021-01-06 07:49:45.000000,2020-12-16 09:47:31.000000,128.0,138.0,149.0,729,738.0,\"A common, beautiful interface to tabular data, no matter the format.\",30.0,20,False,2019-02-14 21:20:15.000000,0.4.1,9.0,rows,,,,,135.0,114.0,https://pypi.org/project/rows,2019-02-14 21:12:03.000000,21.0,837.0,837.0,,,,,,,,3.0,36.0,,,,,,,,True,,,,,,,,,,,\n589,RecBole,RUCAIBox/RecBole,,recommender-systems,https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000000,2021-01-12 07:58:59.000000,2021-01-12 07:58:58.000000,94.0,23.0,37.0,685,2613.0,\"A unified, comprehensive and efficient recommendation library.\",27.0,20,True,2020-12-06 08:38:29.000000,0.1.2,3.0,recbole,aibox/recbole,,,['pytorch'],,,https://pypi.org/project/recbole,2020-12-06 08:38:29.000000,,86.0,170.0,https://anaconda.org/aibox/recbole,2020-12-06 10:21:07.722000,168.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n590,NeuPy,itdxer/neupy,,ml-frameworks,https://github.com/itdxer/neupy,https://github.com/itdxer/neupy,MIT,2015-08-24 19:45:11.000000,2020-01-15 08:04:33.000000,2019-09-02 19:02:38.000000,143.0,26.0,229.0,663,1145.0,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,6.0,20,False,2019-04-04 19:44:59.000000,0.8.2,34.0,neupy,,,,,110.0,100.0,https://pypi.org/project/neupy,2019-04-04 19:43:06.000000,10.0,960.0,960.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n591,NearPy,pixelogik/NearPy,,nn-search,https://github.com/pixelogik/NearPy,https://github.com/pixelogik/NearPy,MIT,2013-04-25 09:10:26.000000,2020-02-17 20:24:08.000000,2018-10-21 17:54:28.000000,135.0,22.0,38.0,659,159.0,\"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..\",18.0,20,False,2016-09-27 13:04:44.000000,1.0.0,8.0,NearPy,,,,,63.0,48.0,https://pypi.org/project/NearPy,2016-09-27 13:03:12.000000,15.0,1754.0,1754.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n592,finetune,IndicoDataSolutions/finetune,,nlp,https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16.000000,2021-01-06 19:43:36.000000,2021-01-06 19:43:32.000000,67.0,18.0,115.0,631,1201.0,Scikit-learn style model finetuning for NLP.,18.0,20,True,2019-11-07 19:42:32.000000,0.8.6,37.0,finetune,,,,\"['tensorflow', 'sklearn']\",11.0,9.0,https://pypi.org/project/finetune,2020-01-10 22:42:24.000000,2.0,209.0,209.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n593,TensorBoard Logger,TeamHG-Memex/tensorboard_logger,,ml-experiments,https://github.com/TeamHG-Memex/tensorboard_logger,https://github.com/TeamHG-Memex/tensorboard_logger,MIT,2016-10-27 14:02:25.000000,2020-10-27 20:51:06.000000,2019-10-21 07:52:07.000000,52.0,9.0,15.0,610,46.0,Log TensorBoard events without touching TensorFlow.,5.0,20,False,2018-02-08 07:28:51.000000,0.1.0,5.0,tensorboard_logger,,,,,42.0,,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51.000000,42.0,78570.0,78570.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n594,pdpipe,pdpipe/pdpipe,,data-pipelines,https://github.com/pdpipe/pdpipe,https://github.com/pdpipe/pdpipe,MIT,2017-01-24 20:37:22.000000,2020-11-17 08:57:21.000000,2020-11-17 08:57:20.000000,29.0,6.0,14.0,576,341.0,Easy pipelines for pandas DataFrames.,8.0,20,True,2020-11-09 09:32:37.000000,0.0.53,49.0,pdpipe,,,,['pandas'],22.0,22.0,https://pypi.org/project/pdpipe,2020-11-09 09:32:37.000000,,927.0,927.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n595,torch-scatter,rusty1s/pytorch_scatter,,pytorch-utils,https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23.000000,2021-01-12 13:32:52.000000,2021-01-12 13:32:47.000000,72.0,57.0,108.0,573,805.0,PyTorch Extension Library of Optimized Scatter Operations.,13.0,20,True,2020-06-24 09:29:12.000000,2.0.5,24.0,torch-scatter,,,,['pytorch'],16.0,,https://pypi.org/project/torch-scatter,2020-02-22 16:51:10.000000,16.0,5192.0,5192.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n596,Mapbox GL,mapbox/mapboxgl-jupyter,,geospatial-data,https://github.com/mapbox/mapboxgl-jupyter,https://github.com/mapbox/mapboxgl-jupyter,MIT,2017-08-08 15:10:51.000000,2019-12-13 22:49:07.000000,2019-12-03 21:57:25.000000,119.0,34.0,67.0,552,220.0,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,20.0,20,False,2019-06-03 21:24:10.000000,0.10.2,20.0,mapboxgl,,,,['jupyter'],107.0,89.0,https://pypi.org/project/mapboxgl,2019-06-02 15:18:57.000000,18.0,4949.0,4949.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n597,bambi,bambinos/bambi,,probabilistics,https://github.com/bambinos/bambi,https://github.com/bambinos/bambi,MIT,2016-05-16 03:21:00.000000,2020-12-28 12:56:01.000000,2020-12-28 11:56:01.000000,50.0,26.0,127.0,537,520.0,BAyesian Model-Building Interface (Bambi) in Python.,15.0,20,True,2020-12-17 01:23:21.000000,0.3.0,10.0,bambi,,,,,11.0,8.0,https://pypi.org/project/bambi,2020-12-17 01:23:21.000000,3.0,286.0,286.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n598,alibi-detect,SeldonIO/alibi-detect,,others,https://github.com/SeldonIO/alibi-detect,https://github.com/SeldonIO/alibi-detect,Apache-2.0,2019-10-07 13:29:13.000000,2021-01-06 15:19:17.000000,2021-01-05 15:58:41.000000,53.0,30.0,41.0,517,307.0,\"Algorithms for outlier and adversarial instance detection, concept drift and metrics.\",7.0,20,True,2020-12-23 10:49:47.000000,0.4.4,9.0,alibi-detect,,,,,18.0,17.0,https://pypi.org/project/alibi-detect,2020-10-08 09:57:19.000000,1.0,1031.0,1031.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n599,deeplift,kundajelab/deeplift,,interpretability,https://github.com/kundajelab/deeplift,https://github.com/kundajelab/deeplift,MIT,2016-06-01 02:18:06.000000,2020-11-11 19:56:24.000000,2020-11-11 19:56:23.000000,118.0,29.0,46.0,497,551.0,Public facing deeplift repo.,11.0,20,True,2018-07-13 21:11:52.000000,0.6.6,21.0,deeplift,,,,,45.0,43.0,https://pypi.org/project/deeplift,2020-11-11 09:32:57.000000,2.0,484.0,484.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n600,Studio.ml,studioml/studio,,ml-experiments,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28.000000,2021-01-12 23:13:49.000000,2021-01-12 23:13:48.000000,48.0,56.0,188.0,367,2318.0,Studio: Simplify and expedite model building process.,21.0,20,True,2021-01-10 23:07:33.000000,0.0.38,175.0,studioml,,,,,2.0,2.0,https://pypi.org/project/studioml,2021-01-10 23:07:33.000000,,998.0,998.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n601,PyNNDescent,lmcinnes/pynndescent,,nn-search,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000000,2021-01-05 20:38:26.000000,2021-01-05 20:38:19.000000,43.0,26.0,29.0,356,456.0,A Python nearest neighbor descent for approximate nearest neighbors.,10.0,20,True,2020-11-19 20:20:48.000000,0.5.1,20.0,pynndescent,conda-forge/pynndescent,,,,3.0,,https://pypi.org/project/pynndescent,2020-11-19 20:20:48.000000,3.0,6589.0,7650.0,https://anaconda.org/conda-forge/pynndescent,2020-11-19 22:20:12.326000,20171.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n602,Labml,lab-ml/labml,,ml-experiments,https://github.com/lab-ml/labml,https://github.com/lab-ml/labml,MIT,2018-11-16 09:34:48.000000,2021-01-12 09:26:06.000000,2021-01-12 09:25:58.000000,34.0,,6.0,354,884.0,Monitor PyTorch & TensorFlow model training from your mobile phone.,5.0,20,True,2021-01-08 03:36:33.000000,0.4.89,66.0,labml,,,,,20.0,20.0,https://pypi.org/project/labml,2021-01-08 03:36:33.000000,0.0,1087.0,1087.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n603,pydlm,wwrechard/pydlm,,time-series-data,https://github.com/wwrechard/pydlm,https://github.com/wwrechard/pydlm,BSD-3-Clause,2016-06-29 07:58:53.000000,2020-07-26 21:00:50.000000,2019-10-22 07:18:40.000000,80.0,32.0,7.0,350,362.0,A python library for Bayesian time series modeling.,6.0,20,False,2016-11-06 01:43:35.000000,0.1.1,13.0,pydlm,,,,,16.0,16.0,https://pypi.org/project/pydlm,2018-12-19 10:27:54.000000,,15614.0,15614.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n604,skope-rules,scikit-learn-contrib/skope-rules,,sklearn-utils,https://github.com/scikit-learn-contrib/skope-rules,https://github.com/scikit-learn-contrib/skope-rules,BSD-1-Clause,2018-02-18 13:42:47.000000,2020-12-11 14:42:41.000000,2020-10-23 14:31:57.000000,58.0,23.0,4.0,347,247.0,machine learning with logical rules in Python.,18.0,20,False,2020-12-11 09:37:02.000000,1.0.1,4.0,skope-rules,,,,['sklearn'],27.0,24.0,https://pypi.org/project/skope-rules,2020-01-25 12:01:37.000000,3.0,3230.0,3230.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n605,MedPy,loli/medpy,,medical-data,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34.000000,2020-05-01 15:25:39.000000,2020-05-01 15:25:38.000000,104.0,8.0,65.0,308,324.0,Medical image processing in Python.,13.0,20,False,2019-02-14 17:12:59.000000,0.4.0,6.0,MedPy,,,,,223.0,216.0,https://pypi.org/project/MedPy,2019-02-14 17:12:59.000000,7.0,2548.0,2548.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n606,scikit-rebate,EpistasisLab/scikit-rebate,,others,https://github.com/EpistasisLab/scikit-rebate,https://github.com/EpistasisLab/scikit-rebate,MIT,2016-09-19 13:36:17.000000,2020-08-21 15:39:02.000000,2020-07-18 19:05:12.000000,55.0,15.0,17.0,302,281.0,\"A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for..\",13.0,20,True,2017-04-12 16:12:01.000000,0.3.4,11.0,skrebate,,,,['sklearn'],147.0,116.0,https://pypi.org/project/skrebate,2020-07-18 19:16:45.000000,31.0,1302.0,1302.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n607,Submit it,facebookincubator/submitit,,distributed-ml,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09.000000,2021-01-12 16:03:45.000000,2021-01-07 16:08:46.000000,17.0,9.0,14.0,287,36.0,Python 3.6+ toolbox for submitting jobs to Slurm.,8.0,20,True,2020-11-19 12:53:49.000000,1.1.5,8.0,submitit,conda-forge/submitit,,,,73.0,73.0,https://pypi.org/project/submitit,2020-12-01 08:14:16.000000,0.0,2189.0,2338.0,https://anaconda.org/conda-forge/submitit,2020-11-19 14:06:58.416000,748.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n608,sklearn-evaluation,edublancas/sklearn-evaluation,,interpretability,https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2015-09-04 16:33:42.000000,2020-12-28 15:14:00.000000,2020-12-28 15:10:09.000000,25.0,8.0,27.0,286,504.0,\"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook..\",5.0,20,True,2020-12-28 15:14:25.000000,0.5.4,16.0,sklearn-evaluation,,,,['sklearn'],28.0,26.0,https://pypi.org/project/sklearn-evaluation,2020-12-28 15:13:44.000000,2.0,245.0,245.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n609,impyute,eltonlaw/impyute,,others,https://github.com/eltonlaw/impyute,https://github.com/eltonlaw/impyute,MIT,2017-01-21 09:16:27.000000,2020-06-12 21:08:40.000000,2019-10-05 20:39:08.000000,41.0,26.0,36.0,265,289.0,Data imputations library to preprocess datasets with missing data.,9.0,20,False,2019-04-29 02:31:32.000000,0.0.8,8.0,impyute,,,,,74.0,73.0,https://pypi.org/project/impyute,2019-04-29 02:31:32.000000,1.0,2098.0,2098.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n610,explainerdashboard,oegedijk/explainerdashboard,,interpretability,https://github.com/oegedijk/explainerdashboard,https://github.com/oegedijk/explainerdashboard,MIT,2019-10-30 08:26:16.000000,2021-01-12 14:18:58.000000,2021-01-12 14:15:12.000000,36.0,9.0,46.0,238,482.0,Quickly build Explainable AI dashboards that show the inner workings of so-called blackbox machine learning models.,8.0,20,True,2021-01-12 14:18:19.000000,0.2.20,61.0,explainerdashboard,,,,,3.0,3.0,https://pypi.org/project/explainerdashboard,2021-01-12 14:18:58.000000,,1446.0,1446.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n611,fletcher,xhochy/fletcher,,data-containers,https://github.com/xhochy/fletcher,https://github.com/xhochy/fletcher,MIT,2018-03-04 16:44:22.000000,2021-01-10 14:41:21.000000,2020-12-29 11:55:14.000000,32.0,33.0,39.0,207,509.0,Pandas ExtensionDType/Array backed by Apache Arrow.,23.0,20,True,2020-12-29 11:55:52.000000,0.7.1,14.0,fletcher,conda-forge/fletcher,,,['pandas'],3.0,3.0,https://pypi.org/project/fletcher,2020-12-07 20:33:59.000000,0.0,314.0,923.0,https://anaconda.org/conda-forge/fletcher,2020-12-29 14:05:18.481000,18242.0,,,,,3.0,12.0,,,,,,,,,,,,,,,,,,,\n612,StaticFrame,InvestmentSystems/static-frame,,data-containers,https://github.com/InvestmentSystems/static-frame,https://github.com/InvestmentSystems/static-frame,MIT,2018-01-03 15:07:52.000000,2021-01-12 21:46:54.764000,2021-01-12 19:18:13.000000,20.0,33.0,236.0,205,2224.0,\"The StaticFrame library defines the Series and Frame, immutable data structures for one- and two-dimensional..\",14.0,20,True,2021-01-12 19:32:36.000000,0.7.13,96.0,static-frame,conda-forge/static-frame,,,,5.0,5.0,https://pypi.org/project/static-frame,2021-01-12 19:31:15.000000,,1121.0,3718.0,https://anaconda.org/conda-forge/static-frame,2021-01-12 21:46:54.764000,59736.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n613,Auto ViML,AutoViML/Auto_ViML,,hyperopt,https://github.com/AutoViML/Auto_ViML,https://github.com/AutoViML/Auto_ViML,Apache-2.0,2019-06-10 13:09:15.000000,2021-01-04 21:54:14.000000,2021-01-04 21:51:37.000000,49.0,3.0,13.0,195,283.0,Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome...,6.0,20,True,2020-12-26 04:11:51.000000,0.1.676,125.0,autoviml,,,,,13.0,13.0,https://pypi.org/project/autoviml,2021-01-04 21:54:14.000000,,630.0,630.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n614,stop-words,Alir3z4/python-stop-words,,nlp,https://github.com/Alir3z4/python-stop-words,https://github.com/Alir3z4/python-stop-words,BSD-3-Clause,2014-05-26 06:44:03.000000,2019-10-16 15:01:43.000000,2018-07-23 21:04:09.000000,20.0,3.0,9.0,121,90.0,Get list of common stop words in various languages in Python.,8.0,20,False,2018-07-23 20:58:34.000000,2018.7.23,8.0,stop-words,,,,,1261.0,1057.0,https://pypi.org/project/stop-words,2018-07-23 20:55:55.000000,204.0,40069.0,40069.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n615,graph-nets,deepmind/graph_nets,,graph,https://github.com/deepmind/graph_nets,https://github.com/deepmind/graph_nets,Apache-2.0,2018-08-31 08:19:28.000000,2020-12-04 17:43:48.000000,2020-12-04 17:43:47.000000,716.0,9.0,102.0,4736,47.0,Build Graph Nets in Tensorflow.,10.0,19,True,2020-01-29 16:00:25.000000,1.1.0,7.0,graph-nets,,,,['tensorflow'],7.0,,https://pypi.org/project/graph-nets,2020-01-29 16:00:25.000000,7.0,742.0,742.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n616,Qlib,microsoft/qlib,,financial-data,https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000000,2021-01-12 10:43:06.000000,2021-01-12 10:43:05.000000,545.0,55.0,44.0,3625,,\"Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research,..\",25.0,19,True,2020-12-12 09:59:16.000000,0.6.1,15.0,pyqlib,,,,['pytorch'],,,https://pypi.org/project/pyqlib,2020-12-12 09:59:16.000000,,2299.0,2347.0,,,,,,,,3.0,192.0,,,,,,,,,,,,,,,,,,,\n617,AdaBound,Luolc/AdaBound,,pytorch-utils,https://github.com/Luolc/AdaBound,https://github.com/Luolc/AdaBound,Apache-2.0,2019-02-15 18:05:20.000000,2019-03-06 17:01:52.000000,2019-03-06 17:01:45.000000,317.0,16.0,7.0,2826,27.0,An optimizer that trains as fast as Adam and as good as SGD.,2.0,19,False,2019-03-06 16:44:42.000000,0.0.5,4.0,adabound,,,,['pytorch'],100.0,94.0,https://pypi.org/project/adabound,2019-02-26 04:23:45.000000,6.0,862.0,862.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n618,BytePS,bytedance/byteps,,distributed-ml,https://github.com/bytedance/byteps,https://github.com/bytedance/byteps,Apache-2.0,2019-06-25 07:00:13.000000,2021-01-12 05:48:38.000000,2021-01-10 09:04:27.000000,363.0,75.0,134.0,2642,410.0,A high performance and generic framework for distributed DNN training.,16.0,19,True,2020-08-27 15:42:13.000000,0.2.4,7.0,byteps,,bytepsimage/tensorflow,,,,,https://pypi.org/project/byteps,2020-11-04 00:05:46.000000,,66.0,116.0,,,,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,951.0,3.0,,,,,,,,,,,,,,,,,,,,\n619,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,,graph,https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16.000000,2020-12-18 18:07:19.000000,2020-12-18 18:07:13.000000,358.0,31.0,97.0,2641,141.0,Generate embeddings from large-scale graph-structured data.,19.0,19,True,2019-10-14 16:45:11.000000,1.0.0,3.0,torchbiggraph,,,,['pytorch'],4.0,,https://pypi.org/project/torchbiggraph,2019-05-01 21:31:13.000000,4.0,232.0,236.0,,,,,,,,3.0,101.0,,,,,,,,,,,,,,,,,,,\n620,vit-pytorch,lucidrains/vit-pytorch,,image,https://github.com/lucidrains/vit-pytorch,https://github.com/lucidrains/vit-pytorch,MIT,2020-10-03 22:47:24.000000,2021-01-12 14:55:45.000000,2021-01-12 14:55:45.000000,190.0,21.0,36.0,2171,,\"Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single..\",4.0,19,True,2021-01-11 18:49:51.000000,0.6.6,24.0,vit-pytorch,,,,['pytorch'],3.0,3.0,https://pypi.org/project/vit-pytorch,2021-01-11 18:49:51.000000,,1261.0,1261.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n621,Apache Singa,apache/singa,,distributed-ml,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000000,2021-01-12 11:15:16.000000,2020-12-11 05:55:13.000000,571.0,49.0,32.0,2162,2261.0,a distributed deep learning platform.,70.0,19,True,2020-04-21 08:01:08.000000,3.0.0,14.0,,nusdbsystem/singa,apache/singa,,,,,,,,,7.0,https://anaconda.org/nusdbsystem/singa,2021-01-12 09:54:35.067000,241.0,https://hub.docker.com/r/apache/singa,2019-06-04 04:32:52.195956,2.0,165.0,3.0,,,,,,,,,,,,,,,,,,,,\n622,DeepWalk,phanein/deepwalk,,graph,https://github.com/phanein/deepwalk,https://github.com/phanein/deepwalk,GPL-3.0,2014-08-23 03:38:20.000000,2020-04-02 01:05:36.000000,2020-04-02 01:05:35.000000,755.0,29.0,78.0,2153,46.0,DeepWalk - Deep Learning for Graphs.,10.0,19,False,2018-04-29 21:05:18.000000,1.0.3,4.0,deepwalk,,,,,42.0,35.0,https://pypi.org/project/deepwalk,2018-04-29 21:05:18.000000,7.0,1256.0,1256.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n623,Kashgari,BrikerMan/Kashgari,,nlp,https://github.com/BrikerMan/Kashgari,https://github.com/BrikerMan/Kashgari,Apache-2.0,2019-01-19 01:53:28.000000,2020-12-09 02:13:33.000000,2020-10-29 08:08:00.000000,374.0,31.0,299.0,1995,,Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-..,19.0,19,True,2020-10-30 12:37:01.000000,2.0.1,23.0,kashgari-tf,,,,['tensorflow'],20.0,19.0,https://pypi.org/project/kashgari-tf,2019-06-26 12:27:50.000000,1.0,138.0,138.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n624,Coach,IntelLabs/coach,,reinforcement-learning,https://github.com/IntelLabs/coach,https://github.com/IntelLabs/coach,Apache-2.0,2017-10-01 19:27:43.000000,2020-12-21 12:46:30.000000,2020-12-15 08:02:16.000000,374.0,80.0,181.0,1892,512.0,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,34.0,19,True,2019-10-10 14:17:10.000000,1.0.1,13.0,rl_coach,,,,,1.0,,https://pypi.org/project/rl_coach,2019-10-10 14:17:10.000000,1.0,139.0,139.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n625,cuML,rapidsai/cuml,,gpu-utilities,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000000,2021-01-12 23:02:02.000000,2021-01-12 16:51:01.000000,300.0,629.0,876.0,1878,,cuML - RAPIDS Machine Learning Library.,120.0,19,True,2020-12-10 21:50:49.000000,0.17.0,5.0,cuml,,,,,,,https://pypi.org/project/cuml,2019-04-11 16:57:48.000000,,291.0,291.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n626,HiPlot,facebookresearch/hiplot,,data-viz,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41.000000,2021-01-11 09:04:54.000000,2021-01-11 08:56:16.000000,88.0,6.0,41.0,1871,110.0,HiPlot makes understanding high dimensional data easy.,6.0,19,True,2020-11-30 11:40:56.000000,0.1.22,33.0,hiplot,conda-forge/hiplot,,,,2.0,2.0,https://pypi.org/project/hiplot,2020-12-23 15:11:20.000000,0.0,2010.0,5705.0,https://anaconda.org/conda-forge/hiplot,2020-12-23 17:16:15.884000,40655.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n627,riko,nerevu/riko,,data-pipelines,https://github.com/nerevu/riko,https://github.com/nerevu/riko,MIT,2016-06-02 12:22:51.000000,2020-08-14 18:29:28.000000,2020-08-14 16:47:45.000000,70.0,22.0,8.0,1551,1257.0,A Python stream processing engine modeled after Yahoo! Pipes.,18.0,19,True,2020-08-14 18:29:28.000000,0.66.0,58.0,riko,,,,,1.0,,https://pypi.org/project/riko,2020-08-14 18:29:28.000000,1.0,152.0,152.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n628,tf-quant-finance,google/tf-quant-finance,,financial-data,https://github.com/google/tf-quant-finance,https://github.com/google/tf-quant-finance,Apache-2.0,2019-07-24 16:09:50.000000,2021-01-08 17:07:36.000000,2021-01-08 17:07:28.000000,247.0,9.0,10.0,1415,608.0,High-performance TensorFlow library for quantitative finance.,29.0,19,True,,,20.0,tf-quant-finance,,,,['tensorflow'],4.0,4.0,https://pypi.org/project/tf-quant-finance,2020-09-18 21:02:09.000000,,116.0,116.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n629,DLTK,DLTK/DLTK,,medical-data,https://github.com/DLTK/DLTK,https://github.com/DLTK/DLTK,Apache-2.0,2017-05-02 15:40:36.000000,2020-11-13 17:17:16.000000,2019-01-21 14:01:28.000000,379.0,7.0,24.0,1232,379.0,Deep Learning Toolkit for Medical Image Analysis.,9.0,19,False,,,5.0,dltk,,,,['tensorflow'],17.0,17.0,https://pypi.org/project/dltk,2018-02-26 17:43:57.000000,,56.0,56.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n630,doc2text,jlsutherland/doc2text,,ocr,https://github.com/jlsutherland/doc2text,https://github.com/jlsutherland/doc2text,MIT,2016-08-28 19:30:02.000000,2020-12-01 22:56:27.000000,2020-12-01 22:56:26.000000,92.0,12.0,9.0,1226,62.0,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,5.0,19,True,2016-09-06 21:59:21.000000,0.2.4,5.0,doc2text,,,,,32.0,32.0,https://pypi.org/project/doc2text,2016-09-06 21:59:21.000000,,238.0,238.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n631,Sweetviz,fbdesignpro/sweetviz,,data-viz,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47.000000,2020-12-10 14:32:35.000000,2020-12-10 14:30:47.000000,134.0,21.0,43.0,1187,77.0,\"Visualize and compare datasets, target values and associations, with one line of code.\",6.0,19,True,2020-12-10 14:32:35.000000,2.0.4,22.0,sweetviz,,,,,,,https://pypi.org/project/sweetviz,2020-12-10 14:32:35.000000,,7835.0,7835.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n632,TaskTiger,closeio/tasktiger,,data-pipelines,https://github.com/closeio/tasktiger,https://github.com/closeio/tasktiger,MIT,2015-05-14 00:26:32.000000,2021-01-12 23:38:26.000000,2020-12-17 16:07:11.000000,58.0,30.0,31.0,1036,250.0,Python task queue using Redis.,19.0,19,True,2019-10-29 19:32:58.000000,0.10.1,22.0,tasktiger,,,,,28.0,19.0,https://pypi.org/project/tasktiger,2020-06-18 22:08:56.000000,9.0,409.0,409.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n633,Torch Points 3D,nicolas-chaulet/torch-points3d,,image,https://github.com/nicolas-chaulet/torch-points3d,https://github.com/nicolas-chaulet/torch-points3d,BSD-3-Clause,2019-12-06 11:33:34.000000,2021-01-05 09:42:10.000000,2021-01-05 09:39:46.000000,145.0,41.0,150.0,984,1567.0,Pytorch framework for doing deep learning on point clouds.,19.0,19,True,2020-12-18 10:33:50.000000,1.2.0,13.0,torch-points3d,,,,['pytorch'],2.0,2.0,https://pypi.org/project/torch-points3d,2020-12-18 10:34:16.000000,,292.0,292.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n634,gplearn,trevorstephens/gplearn,,others,https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14.000000,2020-02-15 08:12:38.000000,2020-02-15 08:12:17.000000,151.0,28.0,114.0,903,146.0,\"Genetic Programming in Python, with a scikit-learn inspired API.\",10.0,19,True,2019-06-01 02:04:52.000000,0.4.1,5.0,gplearn,,,,['sklearn'],127.0,120.0,https://pypi.org/project/gplearn,2019-06-01 02:04:52.000000,7.0,1034.0,1034.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n635,Databolt Flow,d6t/d6tflow,,data-pipelines,https://github.com/d6t/d6tflow,https://github.com/d6t/d6tflow,MIT,2019-02-03 01:51:22.000000,2021-01-01 18:15:45.000000,2020-12-19 21:46:11.000000,64.0,5.0,11.0,891,106.0,Python library for building highly effective data science workflows.,10.0,19,True,2020-10-19 04:14:45.000000,0.2.2,19.0,d6tflow,,,,,12.0,12.0,https://pypi.org/project/d6tflow,2020-12-19 22:37:20.000000,,179.0,179.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n636,geoplotlib,andrea-cuttone/geoplotlib,,geospatial-data,https://github.com/andrea-cuttone/geoplotlib,https://github.com/andrea-cuttone/geoplotlib,MIT,2015-02-24 13:13:07.000000,2020-04-10 20:00:31.000000,2019-05-06 07:06:50.000000,143.0,23.0,18.0,887,159.0,python toolbox for visualizing geographical data and making maps.,8.0,19,False,2016-07-27 14:55:01.000000,0.3.2,4.0,geoplotlib,,,,,94.0,85.0,https://pypi.org/project/geoplotlib,2016-07-27 14:55:01.000000,9.0,812.0,812.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n637,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,,pytorch-utils,https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000000,2021-01-10 19:43:56.000000,2021-01-10 19:43:45.000000,71.0,3.0,14.0,872,489.0,PyTorch extensions for fast R&D prototyping and Kaggle farming.,5.0,19,True,2020-08-19 10:33:17.000000,0.4.0,18.0,pytorch_toolbelt,,,,['pytorch'],1.0,,https://pypi.org/project/pytorch_toolbelt,2020-08-19 10:33:17.000000,1.0,7440.0,7440.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n638,Paddle Graph Learning,PaddlePaddle/PGL,,graph,https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28.000000,2020-12-29 02:54:01.000000,2020-12-14 07:02:53.000000,115.0,14.0,28.0,867,349.0,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,17.0,19,True,2020-12-18 16:59:53.000000,2.0.0a,6.0,pgl,,,,['paddle'],11.0,9.0,https://pypi.org/project/pgl,2020-11-20 06:23:47.000000,2.0,615.0,615.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n639,TensorFrames,databricks/tensorframes,,distributed-ml,https://github.com/databricks/tensorframes,https://github.com/databricks/tensorframes,Apache-2.0,2016-03-04 19:25:19.000000,2020-11-13 17:47:02.000000,2019-11-15 21:43:53.000000,159.0,51.0,43.0,768,221.0,[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark.,16.0,19,False,2018-11-16 20:50:02.000000,0.6.0,6.0,tensorframes,,,,\"['tensorflow', 'spark']\",,,https://pypi.org/project/tensorframes,2018-05-16 14:20:28.000000,,5029.0,5029.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n640,tffm,geffy/tffm,,tensorflow-utils,https://github.com/geffy/tffm,https://github.com/geffy/tffm,MIT,2016-05-02 17:06:07.000000,2020-05-22 21:40:58.000000,2020-05-22 21:40:57.000000,173.0,17.0,20.0,755,106.0,TensorFlow implementation of an arbitrary order Factorization Machine.,10.0,19,True,2018-01-27 11:43:26.000000,1.0.1,2.0,tffm,,,,['tensorflow'],10.0,9.0,https://pypi.org/project/tffm,2018-01-27 11:43:26.000000,1.0,1213.0,1213.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n641,TabNet,dreamquark-ai/tabnet,,pytorch-utils,https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000000,2021-01-12 20:42:57.000000,2021-01-12 18:17:44.000000,136.0,30.0,96.0,723,164.0,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,17.0,19,True,2021-01-12 18:17:59.000000,3.1.0,16.0,pytorch-tabnet,,,,['pytorch'],,,https://pypi.org/project/pytorch-tabnet,2021-01-12 18:18:02.000000,,4118.0,4118.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n642,YouTokenToMe,vkcom/youtokentome,,nlp,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28.000000,2020-10-01 23:24:11.000000,2020-02-13 09:49:37.000000,42.0,21.0,20.0,707,76.0,Unsupervised text tokenizer focused on computational efficiency.,6.0,19,True,2020-02-13 09:57:47.000000,1.0.6,14.0,youtokentome,,,,,99.0,93.0,https://pypi.org/project/youtokentome,2020-02-12 18:24:46.000000,6.0,5925.0,5925.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n643,TF Recommenders,tensorflow/recommenders,,recommender-systems,https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01.000000,2021-01-12 18:05:59.000000,2021-01-12 18:05:48.000000,71.0,27.0,42.0,687,,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,17.0,19,True,2020-12-22 19:24:59.000000,0.3.2,7.0,tensorflow-recommenders,,,,['tensorflow'],10.0,10.0,https://pypi.org/project/tensorflow-recommenders,2020-12-22 19:24:59.000000,,3493.0,3493.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n644,mlens,flennerhag/mlens,,others,https://github.com/flennerhag/mlens,https://github.com/flennerhag/mlens,MIT,2017-01-10 20:53:47.000000,2020-02-25 14:32:48.000000,2020-02-25 14:31:53.000000,81.0,8.0,73.0,666,879.0,ML-Ensemble high performance ensemble learning.,7.0,19,True,2018-10-30 22:34:35.000000,0.2.3,14.0,mlens,,,,,97.0,97.0,https://pypi.org/project/mlens,2018-10-30 22:30:43.000000,,1070.0,1070.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n645,NGT,yahoojapan/NGT,,nn-search,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000000,2021-01-12 23:30:03.000000,2021-01-12 23:11:19.000000,67.0,7.0,66.0,607,114.0,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,10.0,19,True,2021-01-12 23:33:02.000000,1.12.3,46.0,ngt,,,,,3.0,,https://pypi.org/project/ngt,2020-09-23 06:52:45.000000,3.0,3203.0,3203.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n646,matrixprofile-ts,target/matrixprofile-ts,,time-series-data,https://github.com/target/matrixprofile-ts,https://github.com/target/matrixprofile-ts,Apache-2.0,2018-09-10 19:03:34.000000,2020-04-25 18:38:20.000000,2020-04-25 18:37:42.000000,90.0,19.0,33.0,604,198.0,A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile.,15.0,19,True,2019-08-08 01:24:38.000000,0.0.9,9.0,matrixprofile-ts,,,,,11.0,11.0,https://pypi.org/project/matrixprofile-ts,2019-08-08 01:24:38.000000,,2400.0,2400.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n647,pytorch-forecasting,jdb78/pytorch-forecasting,,time-series-data,https://github.com/jdb78/pytorch-forecasting,https://github.com/jdb78/pytorch-forecasting,MIT,2020-07-03 13:05:24.000000,2021-01-12 21:09:42.000000,2021-01-12 21:06:16.000000,60.0,26.0,63.0,591,593.0,Time series forecasting with PyTorch.,11.0,19,True,2021-01-12 21:09:42.000000,0.8.2,22.0,pytorch-forecasting,,,,,,,https://pypi.org/project/pytorch-forecasting,2021-01-10 17:23:41.000000,,2904.0,2904.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n648,baikal,alegonz/baikal,,others,https://github.com/alegonz/baikal,https://github.com/alegonz/baikal,BSD-3-Clause,2019-01-21 12:59:02.000000,2021-01-07 23:27:00.000000,2020-11-15 13:39:20.000000,28.0,4.0,11.0,569,393.0,A graph-based functional API for building complex scikit-learn pipelines.,1.0,19,True,2020-05-17 12:40:17.000000,0.4.2,7.0,baikal,conda-forge/cython-blis,,,,3.0,3.0,https://pypi.org/project/baikal,2020-11-15 13:40:18.000000,,31.0,17513.0,https://anaconda.org/conda-forge/cython-blis,2020-12-07 11:23:01.451000,384618.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n649,iterative-stratification,trent-b/iterative-stratification,,sklearn-utils,https://github.com/trent-b/iterative-stratification,https://github.com/trent-b/iterative-stratification,BSD-3-Clause,2018-02-04 00:32:10.000000,2020-09-12 15:32:44.000000,2020-09-12 15:35:02.000000,44.0,1.0,10.0,489,47.0,scikit-learn cross validators for iterative stratification of multilabel data.,4.0,19,True,2018-08-12 18:12:43.000000,0.1.6,5.0,iterative-stratification,,,,['sklearn'],98.0,98.0,https://pypi.org/project/iterative-stratification,2018-08-12 18:28:50.000000,,2800.0,2800.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n650,PFRL,pfnet/pfrl,,reinforcement-learning,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50.000000,2021-01-12 21:15:44.000000,2021-01-06 00:43:43.000000,59.0,22.0,21.0,483,319.0,PFRL: a PyTorch-based deep reinforcement learning library.,10.0,19,True,2020-12-17 04:57:58.000000,0.2.1,4.0,pfrl,,,,,4.0,4.0,https://pypi.org/project/pfrl,2020-12-17 05:00:25.000000,,487.0,487.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n651,lets-plot,JetBrains/lets-plot,,data-viz,https://github.com/JetBrains/lets-plot,https://github.com/JetBrains/lets-plot,MIT,2019-03-20 16:13:03.000000,2021-01-12 10:03:43.000000,2021-01-12 10:03:39.000000,16.0,40.0,68.0,474,1723.0,An open-source plotting library for statistical data.,14.0,19,True,2020-12-23 21:48:58.000000,1.5.6,26.0,lets-plot,,,,,,,https://pypi.org/project/lets-plot,2020-12-23 21:38:29.000000,,5463.0,5463.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n652,N2,kakao/n2,,nn-search,https://github.com/kakao/n2,https://github.com/kakao/n2,Apache-2.0,2017-11-23 02:27:59.000000,2020-10-21 05:15:27.000000,2020-10-21 05:14:11.000000,51.0,17.0,21.0,447,242.0,TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets.,17.0,19,True,2020-10-16 03:43:47.000000,0.1.7,8.0,n2,,,,,14.0,12.0,https://pypi.org/project/n2,2020-10-16 02:48:11.000000,2.0,333.0,333.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n653,HpBandSter,automl/HpBandSter,,hyperopt,https://github.com/automl/HpBandSter,https://github.com/automl/HpBandSter,BSD-3-Clause,2017-12-17 20:28:20.000000,2020-09-06 09:54:54.000000,2019-03-26 09:26:28.000000,91.0,53.0,34.0,437,187.0,a distributed Hyperband implementation on Steroids.,11.0,19,False,2019-07-30 12:47:43.000000,1.0,6.0,hpbandster,,,,,122.0,106.0,https://pypi.org/project/hpbandster,2018-10-24 09:31:01.000000,16.0,4780.0,4780.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n654,Poutyne,GRAAL-Research/poutyne,,pytorch-utils,https://github.com/GRAAL-Research/poutyne,https://github.com/GRAAL-Research/poutyne,LGPL-3.0,2017-12-07 18:30:17.000000,2021-01-10 17:39:32.000000,2020-12-24 16:52:02.000000,47.0,12.0,33.0,422,495.0,A simplified framework and utilities for PyTorch.,15.0,19,False,2020-12-24 17:01:16.000000,1.2,18.0,poutyne,,,,['pytorch'],52.0,50.0,https://pypi.org/project/poutyne,2020-12-24 17:02:00.000000,2.0,846.0,846.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n655,Feature Engine,solegalli/feature_engine,,others,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2018-12-31 01:47:18.000000,2021-01-12 13:25:19.000000,2021-01-12 12:57:33.000000,124.0,29.0,70.0,418,101.0,Feature engineering package with sklearn like functionality.,19.0,19,True,2020-12-31 13:08:09.000000,1.0.1,24.0,feature_engine,conda-forge/feature_engine,,,,2.0,,https://pypi.org/project/feature_engine,2021-01-11 13:09:23.000000,2.0,12975.0,13207.0,https://anaconda.org/conda-forge/feature_engine,2021-01-11 14:21:26.008000,1161.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n656,pivottablejs,nicolaskruchten/jupyter_pivottablejs,,data-viz,https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,MIT,2015-09-09 13:39:18.000000,2018-12-04 14:43:26.000000,2018-12-04 14:43:25.000000,55.0,16.0,37.0,413,32.0,\"Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js.\",3.0,19,False,2018-01-15 18:14:37.000000,0.9.0,10.0,pivottablejs,,,,['jupyter'],155.0,141.0,https://pypi.org/project/pivottablejs,2018-01-15 18:14:37.000000,14.0,6494.0,6494.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n657,seglearn,dmbee/seglearn,,time-series-data,https://github.com/dmbee/seglearn,https://github.com/dmbee/seglearn,BSD-3-Clause,2018-03-05 20:53:59.000000,2020-11-08 14:51:01.000000,2020-11-08 14:45:42.000000,47.0,6.0,19.0,411,264.0,Python module for machine learning time series:.,13.0,19,True,2020-04-02 15:26:06.000000,1.2.1,20.0,seglearn,,,,,7.0,6.0,https://pypi.org/project/seglearn,2020-04-02 15:26:06.000000,1.0,1707.0,1707.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n658,animatplot,t-makaro/animatplot,,data-viz,https://github.com/t-makaro/animatplot,https://github.com/t-makaro/animatplot,MIT,2017-04-03 00:54:04.000000,2020-10-06 02:02:00.460000,2020-10-05 06:14:18.000000,33.0,16.0,15.0,351,178.0,A python package for animating plots build on matplotlib.,7.0,19,True,2020-10-05 06:20:52.000000,0.4.2,10.0,animatplot,conda-forge/animatplot,,,,15.0,14.0,https://pypi.org/project/animatplot,2020-10-05 06:20:52.000000,1.0,104.0,323.0,https://anaconda.org/conda-forge/animatplot,2020-10-06 02:02:00.460000,5049.0,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n659,MXBoard,awslabs/mxboard,,ml-experiments,https://github.com/awslabs/mxboard,https://github.com/awslabs/mxboard,Apache-2.0,2018-02-06 23:03:51.000000,2020-01-24 23:21:56.000000,2020-01-24 23:21:55.000000,46.0,16.0,15.0,331,42.0,Logging MXNet data for visualization in TensorBoard.,9.0,19,True,2018-05-22 20:25:51.000000,0.1.0,12.0,mxboard,,,,['mxnet'],94.0,93.0,https://pypi.org/project/mxboard,2018-05-22 20:25:51.000000,1.0,2561.0,2561.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n660,AutoViz,AutoViML/AutoViz,,data-viz,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06.000000,2020-12-21 03:22:01.000000,2020-12-21 03:21:52.000000,54.0,3.0,16.0,277,97.0,\"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..\",10.0,19,True,2020-12-10 02:33:19.000000,0.0.81,26.0,autoviz,,,,,26.0,26.0,https://pypi.org/project/autoviz,2020-12-10 02:33:19.000000,,960.0,960.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n661,PyKEEN,pykeen/pykeen,,graph,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000000,2020-12-23 14:14:49.000000,2020-12-22 16:20:55.000000,43.0,36.0,57.0,277,2255.0,A Python library for learning and evaluating knowledge graph embeddings.,17.0,19,True,2020-10-21 11:59:14.000000,1.0.5,31.0,pykeen,,,,,1.0,,https://pypi.org/project/pykeen,2020-08-25 14:33:23.000000,1.0,274.0,281.0,,,,,,,,3.0,49.0,,,,,,,,,,,,,,,,,,,\n662,rrcf,kLabUM/rrcf,,others,https://github.com/kLabUM/rrcf,https://github.com/kLabUM/rrcf,MIT,2018-10-20 05:39:05.000000,2020-10-26 14:32:14.000000,2020-06-10 01:07:39.000000,64.0,15.0,17.0,274,253.0,Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams.,4.0,19,True,2020-06-10 01:53:55.000000,0.4.3,7.0,rrcf,,,,,15.0,15.0,https://pypi.org/project/rrcf,2020-06-10 01:53:55.000000,,2291.0,2291.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n663,textpipe,textpipe/textpipe,,nlp,https://github.com/textpipe/textpipe,https://github.com/textpipe/textpipe,MIT,2018-06-21 16:23:32.000000,2021-01-11 08:42:34.000000,2020-10-12 08:19:03.000000,17.0,20.0,24.0,260,366.0,Textpipe: clean and extract metadata from text.,27.0,19,True,2020-10-12 08:24:19.000000,0.12.1,38.0,textpipe,,,,,8.0,7.0,https://pypi.org/project/textpipe,2020-10-12 08:24:19.000000,1.0,444.0,444.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n664,scikit-tda,scikit-tda/scikit-tda,,sklearn-utils,https://github.com/scikit-tda/scikit-tda,https://github.com/scikit-tda/scikit-tda,MIT,2018-04-13 21:00:31.000000,2021-01-09 19:51:04.000000,2021-01-09 19:50:05.000000,32.0,11.0,3.0,259,56.0,Topological Data Analysis for Python.,2.0,19,True,2021-01-09 19:51:04.000000,0.1.0,3.0,scikit-tda,,,,['sklearn'],18.0,18.0,https://pypi.org/project/scikit-tda,2021-01-09 19:51:04.000000,,5247.0,5247.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n665,pyfasttext,vrasneur/pyfasttext,,nlp,https://github.com/vrasneur/pyfasttext,https://github.com/vrasneur/pyfasttext,GPL-3.0,2017-06-30 18:44:42.000000,2018-12-08 15:32:09.000000,2018-12-08 15:02:12.000000,31.0,19.0,28.0,229,153.0,Yet another Python binding for fastText.,4.0,19,False,2018-12-08 15:02:54.000000,0.4.6,13.0,pyfasttext,,,,,135.0,130.0,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09.000000,5.0,2014.0,2021.0,,,,,,,,3.0,318.0,,,,,,,,,,,,,,,,,,,\n666,recmetrics,statisticianinstilettos/recmetrics,,recommender-systems,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49.000000,2020-12-03 21:21:02.000000,2020-12-03 21:21:00.000000,53.0,7.0,7.0,226,233.0,A library of metrics for evaluating recommender systems.,12.0,19,True,2019-02-10 16:12:38.000000,0.0.9,11.0,recmetrics,,,,,16.0,16.0,https://pypi.org/project/recmetrics,2019-02-10 16:12:38.000000,,723.0,723.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n667,quinn,MrPowers/quinn,,ml-experiments,https://github.com/MrPowers/quinn,https://github.com/MrPowers/quinn,Apache-2.0,2017-09-15 13:02:42.000000,2020-07-29 16:22:29.000000,2020-07-29 15:47:58.000000,26.0,17.0,6.0,201,106.0,pyspark methods to enhance developer productivity.,6.0,19,True,2020-07-26 02:55:16.000000,0.8.0,11.0,quinn,,,,['spark'],3.0,,https://pypi.org/project/quinn,2020-07-26 02:55:16.000000,3.0,116142.0,116142.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n668,Glow,projectglow/glow,,medical-data,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47.000000,2021-01-12 23:03:10.000000,2021-01-12 19:21:52.000000,41.0,22.0,41.0,150,297.0,An open-source toolkit for large-scale genomic analysis.,11.0,19,True,2020-09-10 18:38:52.000000,0.6.0,9.0,glow.py,,,,,,,https://pypi.org/project/glow.py,2020-09-10 01:15:03.000000,,1288.0,1288.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n669,Crypto Signals,CryptoSignal/crypto-signal,,financial-data,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24.000000,2020-12-29 14:48:31.000000,2020-09-03 12:26:48.000000,637.0,43.0,187.0,2413,563.0,\"Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 2,100 + stars, 580 + forks.\",25.0,18,True,,,,,,shadowreaver/crypto-signal,,,,,,,,,1022.0,,,,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133,8.0,40917.0,3.0,,,,,,,,,,,,,,,,,,,,\n670,Spotlight,maciejkula/spotlight,,recommender-systems,https://github.com/maciejkula/spotlight,https://github.com/maciejkula/spotlight,MIT,2017-06-25 18:52:19.000000,2020-11-15 08:21:28.000000,2020-02-09 21:03:48.000000,366.0,64.0,48.0,2386,299.0,Deep recommender models using PyTorch.,11.0,18,True,2019-09-08 10:19:53.000000,0.1.6,7.0,,maciejkula/spotlight,,,['pytorch'],,,,,,,137.0,https://anaconda.org/maciejkula/spotlight,2018-05-27 18:32:12.235000,5895.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n671,spark-deep-learning,databricks/spark-deep-learning,,data-pipelines,https://github.com/databricks/spark-deep-learning,https://github.com/databricks/spark-deep-learning,Apache-2.0,2017-05-31 17:30:28.000000,2021-01-05 09:14:31.000000,2021-01-05 02:56:53.000000,441.0,73.0,26.0,1792,133.0,Deep Learning Pipelines for Apache Spark.,15.0,18,True,2020-01-08 19:50:31.000000,1.6.0,9.0,,,,,['spark'],15.0,15.0,,,,,,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n672,NeuroNER,Franck-Dernoncourt/NeuroNER,,nlp,https://github.com/Franck-Dernoncourt/NeuroNER,https://github.com/Franck-Dernoncourt/NeuroNER,MIT,2017-03-07 01:24:15.000000,2020-11-13 18:07:48.000000,2019-10-02 23:26:11.000000,440.0,78.0,67.0,1522,132.0,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,7.0,18,False,2019-10-02 23:30:15.000000,1.0.8,7.0,pyneuroner,,,,,8.0,8.0,https://pypi.org/project/pyneuroner,2019-10-02 23:30:15.000000,,91.0,91.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n673,Higher,facebookresearch/higher,,pytorch-utils,https://github.com/facebookresearch/higher,https://github.com/facebookresearch/higher,Apache-2.0,2019-09-06 18:58:36.000000,2020-11-23 06:15:24.000000,2020-10-28 16:53:07.000000,73.0,24.0,47.0,1026,28.0,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,6.0,18,True,2020-07-14 12:20:32.000000,0.2.1,2.0,higher,,,,['pytorch'],27.0,27.0,https://pypi.org/project/higher,2020-07-14 12:20:32.000000,,724.0,724.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n674,Bounter,RaRe-Technologies/bounter,,data-containers,https://github.com/RaRe-Technologies/bounter,https://github.com/RaRe-Technologies/bounter,MIT,2017-07-18 07:24:15.000000,2020-08-17 06:37:51.000000,2020-08-16 11:55:16.000000,48.0,11.0,9.0,892,152.0,Efficient Counter that uses a limited (bounded) amount of memory regardless of data size.,8.0,18,True,2019-01-17 09:39:52.000000,1.1.1,7.0,bounter,,,,,34.0,20.0,https://pypi.org/project/bounter,2020-08-17 06:37:51.000000,14.0,306.0,306.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n675,calamari,Calamari-OCR/calamari,,ocr,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,Apache-2.0,2018-03-20 15:22:29.000000,2021-01-12 21:51:30.000000,2020-12-21 08:28:04.000000,161.0,20.0,132.0,760,260.0,Line based ATR Engine based on OCRopy.,17.0,18,True,2020-03-29 13:38:21.000000,1.0.5,22.0,calamari_ocr,,,,,2.0,,https://pypi.org/project/calamari_ocr,2018-11-13 11:24:45.000000,2.0,350.0,350.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n676,Norfair,tryolabs/norfair,,image,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000000,2020-12-22 05:04:27.000000,2020-12-22 05:04:25.000000,42.0,5.0,11.0,758,242.0,Lightweight Python library for adding real-time 2D object tracking to any detector.,7.0,18,True,2020-12-07 18:34:32.000000,0.1.8,9.0,norfair,,,,,,,https://pypi.org/project/norfair,2020-12-07 18:34:32.000000,,211.0,211.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n677,DALEX,ModelOriented/DALEX,,interpretability,https://github.com/ModelOriented/DALEX,https://github.com/ModelOriented/DALEX,GPL-3.0,2018-02-18 03:24:12.000000,2021-01-06 20:40:34.000000,2021-01-06 20:33:02.000000,108.0,8.0,245.0,747,531.0,moDel Agnostic Language for Exploration and eXplanation.,16.0,18,False,2021-01-04 17:21:32.000000,1.0.0,18.0,dalex,,,,,5.0,5.0,https://pypi.org/project/dalex,2020-12-28 23:47:30.000000,,356.0,356.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n678,pytorch2keras,nerox8664/pytorch2keras,,model-serialisation,https://github.com/nerox8664/pytorch2keras,https://github.com/nerox8664/pytorch2keras,MIT,2017-11-16 20:21:43.000000,2020-05-14 10:03:56.000000,2020-05-14 10:03:04.000000,111.0,39.0,65.0,654,277.0,PyTorch to Keras model convertor.,11.0,18,True,2020-05-14 10:03:56.000000,0.2.4,23.0,pytorch2keras,,,,,18.0,17.0,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56.000000,1.0,412.0,412.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n679,Test Tube,williamFalcon/test-tube,,hyperopt,https://github.com/williamFalcon/test-tube,https://github.com/williamFalcon/test-tube,MIT,2017-09-06 02:14:57.000000,2020-04-11 20:36:36.000000,2020-03-17 22:44:47.000000,59.0,22.0,21.0,645,642.0,Python library to easily log experiments and parallelize hyperparameter search for neural networks.,16.0,18,True,2019-12-01 00:47:35.000000,0.7.4,53.0,test_tube,,,,,5.0,,https://pypi.org/project/test_tube,2018-12-12 22:45:59.000000,5.0,7951.0,7951.0,,,,,,,,3.0,7.0,,,,,,,,,,,,,,,,,,,\n680,FairScale,facebookresearch/fairscale,,distributed-ml,https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000000,2021-01-12 23:27:12.000000,2021-01-12 01:18:35.000000,42.0,29.0,56.0,630,199.0,PyTorch extensions for high performance and large scale training.,18.0,18,True,2021-01-07 18:59:10.000000,0.1.4,8.0,fairscale,,,,['pytorch'],,,https://pypi.org/project/fairscale,2021-01-07 18:16:47.000000,,1004.0,1004.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n681,Torchbearer,pytorchbearer/torchbearer,,ml-frameworks,https://github.com/pytorchbearer/torchbearer,https://github.com/pytorchbearer/torchbearer,MIT,2018-03-12 16:30:42.000000,2020-02-17 21:18:06.000000,2020-02-17 21:18:01.000000,62.0,8.0,237.0,579,427.0,torchbearer: A model fitting library for PyTorch.,13.0,18,True,2020-01-31 14:07:22.000000,0.5.3,24.0,torchbearer,,,,['pytorch'],40.0,37.0,https://pypi.org/project/torchbearer,2020-01-31 14:05:56.000000,3.0,217.0,217.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n682,vecstack,vecxoz/vecstack,,others,https://github.com/vecxoz/vecstack,https://github.com/vecxoz/vecstack,MIT,2016-11-08 13:23:21.000000,2020-09-14 08:31:07.000000,2019-10-30 09:27:48.000000,66.0,,34.0,571,189.0,Python package for stacking (machine learning technique).,1.0,18,False,2019-08-12 16:09:01.000000,0.4.0,6.0,vecstack,,,,,101.0,97.0,https://pypi.org/project/vecstack,2019-08-12 16:01:22.000000,4.0,770.0,770.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n683,pyhsmm,mattjj/pyhsmm,,probabilistics,https://github.com/mattjj/pyhsmm,https://github.com/mattjj/pyhsmm,MIT,2012-03-18 17:40:13.000000,2020-09-29 20:58:26.000000,2020-08-24 17:03:59.000000,148.0,34.0,60.0,476,1426.0,Bayesian inference in HSMMs and HMMs.,13.0,18,True,2017-05-10 17:14:37.000000,0.1.7,8.0,pyhsmm,,,,,21.0,17.0,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37.000000,4.0,74.0,74.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n684,robustness,MadryLab/robustness,,adversarial,https://github.com/MadryLab/robustness,https://github.com/MadryLab/robustness,MIT,2019-08-21 09:26:33.000000,2020-12-01 06:11:12.000000,2020-12-01 05:49:45.000000,80.0,5.0,49.0,452,137.0,\"A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.\",11.0,18,True,2020-12-01 06:11:12.000000,1.2.1.post2,8.0,robustness,,,,,32.0,31.0,https://pypi.org/project/robustness,2020-08-05 04:42:24.000000,1.0,253.0,253.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n685,What-If Tool,PAIR-code/what-if-tool,,interpretability,https://github.com/PAIR-code/what-if-tool,https://github.com/PAIR-code/what-if-tool,Apache-2.0,2018-09-07 20:26:10.000000,2021-01-12 20:49:24.000000,2021-01-08 17:41:47.000000,89.0,36.0,34.0,415,291.0,Source code/webpage/demos for the What-If Tool.,18.0,18,True,2020-06-28 14:23:49.040000,1.7.0,36.0,witwidget,,,,,,,https://pypi.org/project/witwidget,2020-06-28 14:22:37.000000,,2078.0,3731.0,,,,,,,,3.0,,,,wit-widget,https://www.npmjs.com/package/wit-widget,2020-11-03 16:28:21.255000,,1653.0,,,,,,,,,,,,\n686,PyWaffle,gyli/PyWaffle,,data-viz,https://github.com/gyli/PyWaffle,https://github.com/gyli/PyWaffle,MIT,2017-11-14 20:03:47.000000,2020-07-26 23:22:17.000000,2020-07-26 23:22:13.000000,60.0,2.0,10.0,377,249.0,Make Waffle Charts in Python.,6.0,18,True,2020-07-26 19:16:45.000000,0.6.1,22.0,pywaffle,,,,,39.0,39.0,https://pypi.org/project/pywaffle,2020-07-26 19:16:45.000000,,809.0,809.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n687,lazypredict,shankarpandala/lazypredict,,hyperopt,https://github.com/shankarpandala/lazypredict,https://github.com/shankarpandala/lazypredict,MIT,2019-11-16 09:56:35.000000,2021-01-12 16:33:35.000000,2021-01-11 16:23:42.000000,73.0,42.0,20.0,305,81.0,Lazy Predict help build a lot of basic models without much code and helps understand which models works better without..,7.0,18,True,2020-07-09 04:53:31.000000,0.2.7,9.0,lazypredict,,,,['sklearn'],15.0,15.0,https://pypi.org/project/lazypredict,2020-07-09 04:53:31.000000,,998.0,998.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n688,apricot,jmschrei/apricot,,others,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12.000000,2020-09-30 20:53:48.000000,2020-09-30 20:53:44.000000,29.0,3.0,11.0,299,151.0,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,2.0,18,True,2020-09-28 07:19:15.000000,0.6.0,13.0,apricot-select,,,,,11.0,11.0,https://pypi.org/project/apricot-select,2020-09-28 07:19:15.000000,,503.0,503.0,,,,,,,,3.0,8.0,,,,,,,,,,,,,,,,,,,\n689,DESlib,scikit-learn-contrib/DESlib,,sklearn-utils,https://github.com/scikit-learn-contrib/DESlib,https://github.com/scikit-learn-contrib/DESlib,BSD-3-Clause,2017-12-08 22:49:49.000000,2021-01-01 23:30:58.000000,2021-01-01 23:30:55.000000,66.0,12.0,120.0,292,260.0,A Python library for dynamic classifier and ensemble selection.,12.0,18,True,,,3.0,deslib,,,,['sklearn'],13.0,13.0,https://pypi.org/project/deslib,2019-02-18 16:47:48.000000,,168.0,168.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n690,sk-dist,Ibotta/sk-dist,,distributed-ml,https://github.com/Ibotta/sk-dist,https://github.com/Ibotta/sk-dist,Apache-2.0,2019-08-14 21:07:17.000000,2021-01-07 17:01:27.000000,2021-01-07 17:01:23.000000,42.0,7.0,9.0,250,46.0,Distributed scikit-learn meta-estimators in PySpark.,6.0,18,True,2020-05-14 22:20:14.000000,0.1.9,12.0,sk-dist,,,,\"['sklearn', 'spark']\",8.0,6.0,https://pypi.org/project/sk-dist,2020-05-14 22:20:14.000000,2.0,3566.0,3566.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n691,Brainiak,brainiak/brainiak,,medical-data,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27.000000,2020-10-15 21:11:03.379549,2020-10-15 16:28:46.000000,105.0,63.0,117.0,229,388.0,Brain Imaging Analysis Kit.,32.0,18,True,2019-08-27 23:52:29.000000,0.9.1,15.0,brainiak,,brainiak/brainiak,,,12.0,11.0,https://pypi.org/project/brainiak,2020-10-15 20:45:08.000000,1.0,86.0,93.0,,,,https://hub.docker.com/r/brainiak/brainiak,2020-10-15 21:11:03.379549,1.0,456.0,3.0,,,,,,,,,,,,,,,,,,,,\n692,ivis,beringresearch/ivis,,data-viz,https://github.com/beringresearch/ivis,https://github.com/beringresearch/ivis,GPL-2.0,2018-08-13 08:31:01.000000,2021-01-12 17:00:57.000000,2021-01-12 17:00:41.000000,19.0,5.0,38.0,220,509.0,Dimensionality reduction in very large datasets using Siamese Networks.,7.0,18,False,2021-01-06 17:09:59.000000,2.0.1,27.0,ivis,,,,['tensorflow'],13.0,13.0,https://pypi.org/project/ivis,2021-01-06 17:07:15.000000,0.0,685.0,685.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n693,skift,shaypal5/skift,,nlp,https://github.com/shaypal5/skift,https://github.com/shaypal5/skift,MIT,2018-02-03 11:37:21.000000,2020-09-07 07:33:31.000000,2020-09-07 07:33:23.000000,22.0,2.0,8.0,209,127.0,scikit-learn wrappers for Python fastText.,6.0,18,True,2020-08-04 07:56:43.000000,0.0.19,15.0,skift,,,,['sklearn'],8.0,8.0,https://pypi.org/project/skift,2020-08-27 15:01:05.000000,,1225.0,1225.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n694,fairness-indicators,tensorflow/fairness-indicators,,interpretability,https://github.com/tensorflow/fairness-indicators,https://github.com/tensorflow/fairness-indicators,Apache-2.0,2019-09-30 22:56:45.000000,2021-01-12 21:27:41.000000,2021-01-12 21:27:30.000000,49.0,16.0,5.0,172,232.0,Tensorflow's Fairness Evaluation and Visualization Toolkit.,19.0,18,True,2020-12-17 03:33:37.000000,0.26.0,12.0,fairness-indicators,,,,\"['tensorflow', 'jupyter']\",,,https://pypi.org/project/fairness-indicators,2020-12-17 03:33:37.000000,,522.0,522.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n695,Funsor,pyro-ppl/funsor,,probabilistics,https://github.com/pyro-ppl/funsor,https://github.com/pyro-ppl/funsor,Apache-2.0,2019-01-30 23:13:39.000000,2021-01-12 20:24:42.000000,2021-01-10 05:14:44.000000,15.0,55.0,54.0,158,463.0,Functional tensors for probabilistic programming.,9.0,18,True,2020-10-15 15:54:49.000000,0.3.0,5.0,funsor,,,,['pytorch'],7.0,7.0,https://pypi.org/project/funsor,2020-10-15 15:54:49.000000,,184.0,184.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n696,flupy,olirice/flupy,,data-pipelines,https://github.com/olirice/flupy,https://github.com/olirice/flupy,MIT,2018-01-06 16:46:04.000000,2021-01-06 12:37:41.000000,2021-01-06 12:37:33.000000,9.0,,7.0,152,176.0,Fluent data pipelines for python and your shell.,4.0,18,True,2021-01-06 12:37:15.000000,1.1.6,34.0,flupy,,,,,0.0,,https://pypi.org/project/flupy,2021-01-06 12:37:15.000000,0.0,1744.0,1744.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n697,ploomber,ploomber/ploomber,,data-pipelines,https://github.com/ploomber/ploomber,https://github.com/ploomber/ploomber,Apache-2.0,2020-01-20 20:13:06.000000,2021-01-10 02:14:33.000000,2021-01-09 00:44:18.000000,1.0,49.0,231.0,106,1427.0,\"A convention over configuration workflow orchestrator. Develop interactively using Jupyter, deploy to Airflow or..\",4.0,18,False,2021-01-09 00:47:02.000000,0.8.6,32.0,ploomber,,,,,13.0,13.0,https://pypi.org/project/ploomber,2021-01-09 00:47:02.000000,,487.0,487.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n698,DeepMind Lab,deepmind/lab,,reinforcement-learning,https://github.com/deepmind/lab,https://github.com/deepmind/lab,GPL-2.0,2016-11-30 13:41:26.000000,2021-01-12 18:02:52.000000,2021-01-11 18:00:59.000000,1286.0,37.0,151.0,6379,475.0,A customisable 3D platform for agent-based AI research.,7.0,17,False,2020-12-07 11:26:33.000000,release-2020-12-07,8.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n699,TTS,mozilla/TTS,,audio,https://github.com/mozilla/TTS,https://github.com/mozilla/TTS,MPL-2.0,2018-01-23 14:22:06.000000,2021-01-12 16:32:52.000000,2020-12-17 15:44:50.000000,621.0,25.0,413.0,3045,1992.0,Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts).,46.0,17,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n700,LIT,PAIR-code/lit,,interpretability,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000000,2021-01-12 23:04:04.000000,2020-11-17 00:43:10.000000,227.0,27.0,27.0,2323,,The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and..,10.0,17,True,2020-11-17 00:53:31.000000,0.2,4.0,lit-nlp,,,,,,,https://pypi.org/project/lit-nlp,2020-11-17 00:52:37.000000,,153.0,153.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n701,PaddleDetection,PaddlePaddle/PaddleDetection,,image,https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000000,2021-01-12 16:33:25.000000,2021-01-07 05:36:53.000000,602.0,289.0,825.0,2190,662.0,Object detection and instance segmentation toolkit based on PaddlePaddle.,43.0,17,True,2019-11-27 05:15:38.000000,0.1.0,1.0,,,,,['paddle'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n702,Mara Pipelines,mara/mara-pipelines,,data-pipelines,https://github.com/mara/mara-pipelines,https://github.com/mara/mara-pipelines,MIT,2018-03-31 20:37:22.000000,2020-12-31 02:02:28.000000,2020-07-31 19:24:31.000000,76.0,6.0,11.0,1602,127.0,\"A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow.\",15.0,17,True,2020-07-31 19:31:29.000000,3.1.1,7.0,mara-pipelines,,,,,7.0,7.0,https://pypi.org/project/mara-pipelines,2020-07-31 19:26:16.000000,,23.0,23.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n703,BlazingSQL,BlazingDB/blazingsql,,gpu-utilities,https://github.com/BlazingDB/blazingsql,https://github.com/BlazingDB/blazingsql,Apache-2.0,2018-09-24 18:25:45.000000,2021-01-12 20:51:53.000000,2021-01-12 17:09:07.000000,132.0,240.0,320.0,1379,,\"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.\",39.0,17,True,2020-12-14 17:43:48.000000,0.17.0,15.0,,blazingsql/blazingsql-protocol,,,,,,,,,,57.0,https://anaconda.org/blazingsql/blazingsql-protocol,2019-11-11 19:54:17.621000,913.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n704,Advisor,tobegit3hub/advisor,,hyperopt,https://github.com/tobegit3hub/advisor,https://github.com/tobegit3hub/advisor,Apache-2.0,2017-09-14 03:50:33.000000,2019-11-11 07:09:57.869705,2019-11-11 06:59:31.000000,240.0,19.0,13.0,1332,165.0,Open-source implementation of Google Vizier for hyper parameters tuning.,11.0,17,False,2018-10-18 02:54:09.000000,0.1.6,4.0,advisor,,tobegit3hub/advisor,,,,,https://pypi.org/project/advisor,2018-10-18 02:54:09.000000,,33.0,71.0,,,,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1544.0,3.0,,,,,,,,,,,,,,,,,,,,\n705,Antialiased CNNs,adobe/antialiased-cnns,,pytorch-utils,https://github.com/adobe/antialiased-cnns,https://github.com/adobe/antialiased-cnns,CC BY-NC-SA 4.0,2019-05-14 20:51:25.000000,2020-10-23 22:45:52.000000,2020-10-22 19:40:07.000000,169.0,9.0,28.0,1331,238.0,pip install antialiased-cnns to improve stability and accuracy.,6.0,17,False,2020-10-23 22:45:52.000000,0.3,6.0,antialiased-cnns,,,,['pytorch'],,,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49.000000,,290.0,290.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n706,River,online-ml/river,,others,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000000,2021-01-06 13:56:53.000000,2021-01-06 13:53:36.000000,155.0,38.0,239.0,1273,2943.0,Online machine learning in Python.,57.0,17,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n707,Backtesting.py,kernc/backtesting.py,,financial-data,https://github.com/kernc/backtesting.py,https://github.com/kernc/backtesting.py,AGPL-3.0,2019-01-02 03:11:32.000000,2020-12-24 19:57:36.000000,2020-12-24 19:57:35.000000,222.0,20.0,163.0,910,214.0,Backtest trading strategies in Python.,8.0,17,False,2017-07-22 02:00:06.000000,0.0.1,1.0,backtesting,,,,,,,https://pypi.org/project/backtesting,2017-07-22 02:00:06.000000,,3167.0,3167.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n708,Fiber,uber/fiber,,distributed-ml,https://github.com/uber/fiber,https://github.com/uber/fiber,Apache-2.0,2020-01-07 18:16:24.000000,2020-10-06 14:39:41.000000,2020-10-06 14:39:12.000000,89.0,12.0,5.0,833,60.0,Distributed Computing for AI Made Simple.,5.0,17,True,2020-07-09 03:28:28.000000,0.2.1,6.0,fiber,,,,,18.0,17.0,https://pypi.org/project/fiber,2020-07-09 03:28:28.000000,1.0,1074.0,1074.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n709,advertorch,BorealisAI/advertorch,,adversarial,https://github.com/BorealisAI/advertorch,https://github.com/BorealisAI/advertorch,GPL-3.0,2018-11-29 22:17:33.000000,2020-09-25 15:01:47.000000,2020-06-15 01:16:18.000000,119.0,13.0,28.0,789,270.0,A Toolbox for Adversarial Robustness Research.,16.0,17,False,2020-06-15 01:20:07.000000,0.2.3,10.0,advertorch,,,,['pytorch'],32.0,29.0,https://pypi.org/project/advertorch,2020-06-15 01:20:07.000000,3.0,999.0,999.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n710,sklearn-deap,rsteca/sklearn-deap,,hyperopt,https://github.com/rsteca/sklearn-deap,https://github.com/rsteca/sklearn-deap,MIT,2015-10-28 22:52:34.000000,2019-12-03 13:29:06.000000,2019-12-03 13:29:04.000000,105.0,21.0,30.0,622,98.0,Use evolutionary algorithms instead of gridsearch in scikit-learn.,20.0,17,False,2019-07-15 09:24:09.000000,0.2.4,13.0,sklearn-deap,,,,['sklearn'],25.0,23.0,https://pypi.org/project/sklearn-deap,2019-07-15 09:24:09.000000,2.0,393.0,393.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n711,ADTK,arundo/adtk,,time-series-data,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22.000000,2020-04-29 19:54:40.000000,2020-04-17 02:27:44.000000,71.0,20.0,30.0,583,78.0,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,11.0,17,True,2020-04-17 02:18:00.000000,0.6.2,13.0,adtk,,,,,,,https://pypi.org/project/adtk,2020-04-17 02:18:00.000000,,29306.0,29306.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n712,Dragonfly,dragonfly/dragonfly,,hyperopt,https://github.com/dragonfly/dragonfly,https://github.com/dragonfly/dragonfly,MIT,2018-04-20 22:19:50.000000,2020-07-26 17:44:31.000000,2020-07-03 18:01:17.000000,72.0,21.0,17.0,554,397.0,An open source python library for scalable Bayesian optimisation.,12.0,17,True,2020-07-03 18:05:12.000000,0.1.6,9.0,dragonfly-opt,,,,,2.0,,https://pypi.org/project/dragonfly-opt,2020-07-03 18:05:12.000000,2.0,3061.0,3061.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n713,SKLL,EducationalTestingService/skll,,ml-experiments,https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,BSD-1-Clause,2013-08-02 14:31:46.000000,2021-01-11 14:48:37.000000,2021-01-05 19:18:47.000000,62.0,41.0,327.0,518,,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,34.0,17,False,2020-03-13 17:22:26.000000,2.1,63.0,skll,,,,['sklearn'],45.0,28.0,https://pypi.org/project/skll,2020-03-13 16:23:35.000000,17.0,179.0,179.0,,,,,,,,3.0,10.0,,,,,,,,,,,,,,,,,,,\n714,Performer Pytorch,lucidrains/performer-pytorch,,pytorch-utils,https://github.com/lucidrains/performer-pytorch,https://github.com/lucidrains/performer-pytorch,MIT,2020-10-03 03:41:36.000000,2020-12-18 23:09:14.000000,2020-12-14 17:09:48.000000,59.0,16.0,30.0,445,,\"An implementation of Performer, a linear attention-based transformer, in Pytorch.\",4.0,17,True,2020-12-14 17:10:37.000000,0.14.9,60.0,performer-pytorch,,,,['pytorch'],7.0,7.0,https://pypi.org/project/performer-pytorch,2020-12-13 20:20:46.000000,,1165.0,1165.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n715,DiCE,interpretml/DiCE,,interpretability,https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000000,2020-12-15 13:12:57.000000,2020-12-15 13:12:50.000000,62.0,12.0,18.0,431,288.0,Generate Diverse Counterfactual Explanations for any machine learning model.,8.0,17,True,2020-09-22 06:31:10.000000,0.4,2.0,dice-ml,,,,\"['tensorflow', 'pytorch']\",,,https://pypi.org/project/dice-ml,2020-09-22 06:57:33.000000,,155.0,155.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n716,kglib,graknlabs/kglib,,graph,https://github.com/graknlabs/kglib,https://github.com/graknlabs/kglib,Apache-2.0,2018-09-16 16:46:48.000000,2020-11-10 15:19:42.000000,2020-11-10 15:19:41.000000,69.0,10.0,49.0,383,486.0,Grakn Knowledge Graph Library (ML R&D).,7.0,17,True,2020-08-19 15:32:49.000000,0.2.2,7.0,grakn-kglib,,,,,,,https://pypi.org/project/grakn-kglib,2020-08-19 15:39:10.000000,,61.0,69.0,,,,,,,,3.0,206.0,,,,,,,,,,,,,,,,,,,\n717,Sematch,gsi-upm/sematch,,graph,https://github.com/gsi-upm/sematch,https://github.com/gsi-upm/sematch,Apache-2.0,2012-11-30 11:11:53.000000,2020-11-05 21:20:52.000000,2019-03-27 03:17:24.000000,99.0,14.0,19.0,337,122.0,semantic similarity framework for knowledge graph.,5.0,17,False,2017-04-17 10:56:52.000000,1.0.4,5.0,sematch,,,,,29.0,26.0,https://pypi.org/project/sematch,2017-04-17 10:56:52.000000,3.0,44.0,44.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n718,atspy,firmai/atspy,,time-series-data,https://github.com/firmai/atspy,https://github.com/firmai/atspy,MIT,2020-01-28 05:00:10.000000,2020-12-01 13:53:03.000000,2020-11-12 16:15:26.000000,61.0,16.0,2.0,324,97.0,AtsPy: Automated Time Series Models in Python (by @firmai).,5.0,17,True,2020-11-12 16:10:48.000000,zen,39.0,atspy,,,,,3.0,3.0,https://pypi.org/project/atspy,2020-04-24 18:16:15.000000,,226.0,226.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n719,Camphr,PKSHATechnology-Research/camphr,,nlp,https://github.com/PKSHATechnology-Research/camphr,https://github.com/PKSHATechnology-Research/camphr,Apache-2.0,2020-02-10 03:39:58.000000,2021-01-12 00:45:48.000000,2021-01-12 00:45:45.000000,15.0,13.0,14.0,321,1091.0,\"spaCy plugin for Transformers , Udify, ELmo, etc.\",7.0,17,True,2020-12-25 08:53:36.000000,0.7.2,37.0,camphr,,,,['spacy'],,,https://pypi.org/project/camphr,2020-12-25 08:53:36.000000,,329.0,329.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n720,tick,X-DataInitiative/tick,,time-series-data,https://github.com/X-DataInitiative/tick,https://github.com/X-DataInitiative/tick,BSD-3-Clause,2016-12-01 10:59:08.000000,2020-08-11 12:36:43.000000,2020-06-15 12:01:36.000000,74.0,55.0,159.0,321,413.0,\"Module for statistical learning, with a particular emphasis on time-dependent modelling.\",16.0,17,True,2019-09-11 11:25:15.000000,0.6,23.0,tick,,,,,29.0,28.0,https://pypi.org/project/tick,2020-05-24 22:01:17.000000,1.0,549.0,552.0,,,,,,,,3.0,155.0,,,,,,,,,,,,,,,,,,,\n721,Baal,ElementAI/baal,,probabilistics,https://github.com/ElementAI/baal,https://github.com/ElementAI/baal,Apache-2.0,2019-09-30 20:16:26.000000,2021-01-11 13:50:36.000000,2020-12-11 19:04:35.000000,24.0,12.0,22.0,307,92.0,Using approximate bayesian posteriors in deep nets for active learning.,8.0,17,True,2020-11-03 21:14:13.000000,1.2.1,7.0,baal,,,,,6.0,6.0,https://pypi.org/project/baal,2020-11-03 21:07:08.000000,,129.0,129.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n722,Orbit,uber/orbit,,probabilistics,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000000,2021-01-12 23:31:51.000000,2021-01-08 23:40:17.000000,12.0,22.0,141.0,298,573.0,Bayesian forecasting with object-oriented design and probabilistic models under the hood.,7.0,17,True,2020-11-15 23:46:41.000000,1.0.9,9.0,orbit-ml,,,,,3.0,3.0,https://pypi.org/project/orbit-ml,2020-11-15 23:46:41.000000,,86.0,86.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n723,Sherpa,sherpa-ai/sherpa,,hyperopt,https://github.com/sherpa-ai/sherpa,https://github.com/sherpa-ai/sherpa,GPL-3.0,2018-05-16 21:41:54.000000,2020-10-18 07:57:50.000000,2020-10-18 07:57:48.000000,43.0,11.0,41.0,279,823.0,\"Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.\",43.0,17,False,2020-07-31 05:29:09.000000,1.0.7,8.0,parameter-sherpa,,,,,8.0,7.0,https://pypi.org/project/parameter-sherpa,2019-11-23 21:32:27.000000,1.0,358.0,358.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n724,pandas-ml,pandas-ml/pandas-ml,,others,https://github.com/pandas-ml/pandas-ml,https://github.com/pandas-ml/pandas-ml,BSD-3-Clause,2015-02-21 03:14:04.000000,2020-08-14 12:29:33.000000,2019-03-05 01:36:55.000000,57.0,24.0,17.0,264,153.0,\"pandas, scikit-learn, xgboost and seaborn integration.\",4.0,17,False,2019-03-05 01:36:12.000000,0.6.1,9.0,pandas-ml,,,,\"['sklearn', 'pandas']\",,,https://pypi.org/project/pandas-ml,2019-03-05 01:35:23.000000,,2931.0,2931.0,,,,,,,,3.0,5.0,,,,,,,,True,,,,,,,,,,,\n725,DeepGraph,deepgraph/deepgraph,,graph,https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45.000000,2020-10-13 10:14:55.018000,2020-10-01 13:17:00.000000,33.0,7.0,5.0,226,160.0,Analyze Data with Pandas-based Networks. Documentation:.,2.0,17,True,2020-10-01 13:20:38.000000,0.2.3,13.0,deepgraph,conda-forge/deepgraph,,,['pandas'],1.0,1.0,https://pypi.org/project/deepgraph,2020-10-01 13:18:38.000000,,241.0,2090.0,https://anaconda.org/conda-forge/deepgraph,2020-10-13 10:14:55.018000,75833.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n726,somoclu,peterwittek/somoclu,,distributed-ml,https://github.com/peterwittek/somoclu,https://github.com/peterwittek/somoclu,MIT,2013-01-16 06:33:16.000000,2020-10-13 18:39:07.609000,2020-07-24 13:00:47.000000,55.0,25.0,103.0,220,590.0,\"Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters.\",17.0,17,True,2018-03-03 02:44:37.000000,1.7.5,17.0,somoclu,conda-forge/somoclu,,,,2.0,,https://pypi.org/project/somoclu,2020-04-25 05:33:32.000000,2.0,1316.0,2292.0,https://anaconda.org/conda-forge/somoclu,2020-10-13 18:39:07.609000,39265.0,,,,,3.0,1435.0,,,,,,,,True,,,,,,,,,,,\n727,skggm,skggm/skggm,,sklearn-utils,https://github.com/skggm/skggm,https://github.com/skggm/skggm,MIT,2016-06-11 18:35:56.000000,2020-12-24 08:36:00.000000,2020-12-24 05:43:15.000000,30.0,27.0,47.0,175,691.0,Scikit-learn compatible estimation of general graphical models.,5.0,17,True,2018-09-12 01:12:49.000000,0.2.8,6.0,skggm,,,,['sklearn'],7.0,6.0,https://pypi.org/project/skggm,2018-09-12 01:12:49.000000,1.0,76.0,76.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n728,ExplainX.ai,explainX/explainx,,interpretability,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15.000000,2021-01-07 22:35:16.000000,2021-01-07 22:35:16.000000,28.0,7.0,13.0,157,182.0,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,4.0,17,True,2020-10-23 17:30:47.000000,2.403,53.0,explainx,,,,,,,https://pypi.org/project/explainx,2020-12-07 22:26:30.000000,,494.0,494.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n729,BatchFlow,analysiscenter/batchflow,,data-pipelines,https://github.com/analysiscenter/batchflow,https://github.com/analysiscenter/batchflow,Apache-2.0,2017-03-13 14:22:53.000000,2021-01-12 14:34:56.000000,2020-12-08 08:39:00.000000,33.0,52.0,53.0,153,4298.0,BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and..,28.0,17,True,2019-08-23 12:21:50.000000,0.3.0,3.0,batchflow,,,,,,,https://pypi.org/project/batchflow,2019-08-23 12:21:50.000000,,13.0,13.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n730,Auto TS,AutoViML/Auto_TS,,time-series-data,https://github.com/AutoViML/Auto_TS,https://github.com/AutoViML/Auto_TS,Apache-2.0,2020-02-15 15:23:32.000000,2021-01-10 18:17:01.000000,2021-01-10 18:15:29.000000,31.0,5.0,21.0,145,214.0,\"Automatically build ARIMA, SARIMAX, VAR, FB Prophet and ML Models on Time Series data sets with a Single Line of Code.\",5.0,17,False,2021-01-10 18:17:01.000000,0.0.32,11.0,auto-ts,,,,,,,https://pypi.org/project/auto-ts,2021-01-10 18:17:01.000000,,418.0,418.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n731,nvidia-ml-py3,nicolargo/nvidia-ml-py3,,gpu-utilities,https://github.com/nicolargo/nvidia-ml-py3,https://github.com/nicolargo/nvidia-ml-py3,BSD-3-Clause,2017-06-03 07:47:03.000000,2019-03-06 20:41:10.000000,2019-03-06 20:41:09.000000,13.0,2.0,,60,5.0,Python 3 Bindings for the NVIDIA Management Library.,2.0,17,False,,,1.0,nvidia-ml-py3,,,,,2469.0,2457.0,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46.000000,12.0,302545.0,302545.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n732,ReAgent,facebookresearch/ReAgent,,reinforcement-learning,https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000000,2021-01-12 23:20:18.000000,2021-01-12 23:19:13.000000,372.0,20.0,74.0,2742,1060.0,\"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).\",85.0,16,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n733,automl-gs,minimaxir/automl-gs,,hyperopt,https://github.com/minimaxir/automl-gs,https://github.com/minimaxir/automl-gs,MIT,2019-01-13 18:57:44.000000,2019-10-22 11:20:40.000000,2019-04-05 06:48:14.000000,157.0,26.0,6.0,1710,102.0,\"Provide an input CSV and a target field to predict, generate a model + code to run it.\",7.0,16,False,2019-04-05 06:51:04.000000,0.2.1,2.0,automl_gs,,,,,,,https://pypi.org/project/automl_gs,2019-04-05 06:47:54.000000,,29.0,29.0,,,,,,,,3.0,20.0,,,,,,,,,,,,,,,,,,,\n734,Lambda Networks,lucidrains/lambda-networks,,pytorch-utils,https://github.com/lucidrains/lambda-networks,https://github.com/lucidrains/lambda-networks,MIT,2020-10-08 19:01:15.000000,2020-11-18 19:54:34.000000,2020-11-18 19:54:30.000000,128.0,8.0,15.0,1260,,\"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.\",3.0,16,True,2020-11-18 08:18:54.000000,0.4.0,11.0,lambda-networks,,,,['pytorch'],,,https://pypi.org/project/lambda-networks,2020-10-20 21:49:22.000000,,1055.0,1055.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n735,Xcessiv,reiinakano/xcessiv,,hyperopt,https://github.com/reiinakano/xcessiv,https://github.com/reiinakano/xcessiv,Apache-2.0,2017-03-07 18:18:25.000000,2018-06-06 22:23:37.000000,2017-08-21 00:51:15.000000,109.0,22.0,13.0,1258,316.0,\"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.\",6.0,16,False,2017-08-21 00:53:25.000000,0.5.1,34.0,xcessiv,,,,,2.0,1.0,https://pypi.org/project/xcessiv,2017-08-21 00:49:41.000000,1.0,44.0,44.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n736,AdvBox,advboxes/AdvBox,,adversarial,https://github.com/advboxes/AdvBox,https://github.com/advboxes/AdvBox,Apache-2.0,2018-08-08 08:55:41.000000,2020-11-13 17:59:22.000000,2020-08-26 22:59:41.000000,217.0,6.0,26.0,1022,374.0,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,19.0,16,True,2018-12-05 02:48:50.000000,0.4.1,2.0,advbox,,,,,,,https://pypi.org/project/advbox,2018-12-05 02:48:50.000000,,13.0,13.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n737,sklearn-porter,nok/sklearn-porter,,model-serialisation,https://github.com/nok/sklearn-porter,https://github.com/nok/sklearn-porter,MIT,2016-06-22 22:21:34.000000,2020-10-19 07:28:00.000000,2019-12-18 13:31:50.000000,122.0,39.0,29.0,945,699.0,\"Transpile trained scikit-learn estimators to C, Java, JavaScript and others.\",11.0,16,False,2019-12-18 13:39:19.000000,0.7.4,20.0,sklearn-porter,,,,['sklearn'],1.0,,https://pypi.org/project/sklearn-porter,2019-12-18 13:39:19.000000,1.0,402.0,402.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n738,CrypTen,facebookresearch/CrypTen,,privacy-ml,https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000000,2021-01-07 17:43:06.000000,2020-12-23 00:12:14.000000,89.0,15.0,31.0,689,227.0,A framework for Privacy Preserving Machine Learning.,23.0,16,True,2020-04-21 13:59:37.000000,0.1,1.0,crypten,,,,['pytorch'],5.0,5.0,https://pypi.org/project/crypten,2020-02-05 18:53:03.000000,,84.0,84.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n739,Hivemind,learning-at-home/hivemind,,distributed-ml,https://github.com/learning-at-home/hivemind,https://github.com/learning-at-home/hivemind,MIT,2020-02-27 13:50:19.000000,2021-01-12 16:37:17.000000,2021-01-12 16:37:16.000000,29.0,15.0,17.0,635,290.0,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,8.0,16,True,2020-08-28 05:52:35.000000,0.8.2,5.0,hivemind,,,,,2.0,1.0,https://pypi.org/project/hivemind,2020-08-28 16:00:22.000000,1.0,18.0,18.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n740,HyperparameterHunter,HunterMcGushion/hyperparameter_hunter,,hyperopt,https://github.com/HunterMcGushion/hyperparameter_hunter,https://github.com/HunterMcGushion/hyperparameter_hunter,MIT,2018-06-01 23:17:00.000000,2021-01-08 13:51:16.000000,2020-10-21 17:39:43.000000,79.0,36.0,84.0,632,1095.0,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries.,3.0,16,True,2019-08-06 09:09:45.000000,3.0.0,16.0,hyperparameter-hunter,,,,,1.0,,https://pypi.org/project/hyperparameter-hunter,2019-08-06 06:01:58.000000,1.0,66.0,74.0,,,,,,,,3.0,235.0,,,,,,,,,,,,,,,,,,,\n741,Saliency,PAIR-code/saliency,,tensorflow-utils,https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35.000000,2020-10-15 21:38:20.000000,2020-10-01 22:54:59.000000,133.0,11.0,10.0,617,64.0,\"TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques.\",12.0,16,True,2019-09-26 17:59:23.000000,0.0.5,5.0,saliency,,,,['tensorflow'],13.0,13.0,https://pypi.org/project/saliency,2019-09-26 17:59:23.000000,,144.0,144.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n742,cuGraph,rapidsai/cugraph,,gpu-utilities,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000000,2021-01-12 16:24:24.000000,2021-01-12 14:22:26.000000,130.0,90.0,454.0,615,,cuGraph - RAPIDS Graph Analytics Library.,54.0,16,True,2020-12-10 21:54:44.000000,0.17.0,4.0,cugraph,,,,,,,https://pypi.org/project/cugraph,2019-04-04 15:31:02.000000,,29.0,29.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n743,SpeedTorch,Santosh-Gupta/SpeedTorch,,gpu-utilities,https://github.com/Santosh-Gupta/SpeedTorch,https://github.com/Santosh-Gupta/SpeedTorch,MIT,2019-09-07 18:57:52.000000,2020-02-21 23:13:29.000000,2020-02-21 23:13:28.000000,36.0,3.0,2.0,592,170.0,Library for faster pinned CPU - GPU transfer in Pytorch.,3.0,16,True,2020-01-06 05:27:17.000000,0.1.6,14.0,SpeedTorch,,,,['pytorch'],5.0,3.0,https://pypi.org/project/SpeedTorch,2020-01-06 05:27:17.000000,2.0,81.0,81.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n744,ThunderGBM,Xtra-Computing/thundergbm,,ml-frameworks,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08.000000,2021-01-05 04:22:17.000000,2021-01-05 04:22:15.000000,71.0,20.0,26.0,575,606.0,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,10.0,16,True,2020-05-01 23:16:25.000000,0.3.16,24.0,thundergbm,,,,,,,https://pypi.org/project/thundergbm,2020-05-01 23:16:25.000000,,118.0,118.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n745,XAI,EthicalML/xai,,interpretability,https://github.com/EthicalML/xai,https://github.com/EthicalML/xai,MIT,2019-01-11 20:00:09.000000,2019-10-05 10:34:58.000000,2019-10-05 10:34:50.000000,82.0,4.0,2.0,554,83.0,XAI - An eXplainability toolbox for machine learning.,2.0,16,False,2019-01-13 21:24:01.000000,0.0.4,4.0,xai,,,,,15.0,9.0,https://pypi.org/project/xai,2019-01-13 21:24:01.000000,6.0,461.0,461.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n746,RLax,deepmind/rlax,,reinforcement-learning,https://github.com/deepmind/rlax,https://github.com/deepmind/rlax,Apache-2.0,2020-02-18 07:14:59.000000,2020-12-04 16:29:56.000000,2020-12-04 16:29:20.000000,40.0,3.0,3.0,539,100.0,A library of reinforcement learning building blocks in JAX.,10.0,16,True,2020-02-19 23:01:30.000000,0.1.0,3.0,rlax,,,,['jax'],9.0,9.0,https://pypi.org/project/rlax,2020-02-19 23:01:30.000000,,128.0,128.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n747,AlphaPy,ScottfreeLLC/AlphaPy,,hyperopt,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32.000000,2020-09-06 12:58:26.000000,2020-09-06 12:58:25.000000,112.0,10.0,29.0,538,407.0,\"Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost.\",3.0,16,True,2020-08-29 18:48:20.000000,2.5.0,24.0,alphapy,,,,,2.0,2.0,https://pypi.org/project/alphapy,2020-08-25 23:33:42.000000,,83.0,83.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n748,FlashTorch,MisaOgura/flashtorch,,interpretability,https://github.com/MisaOgura/flashtorch,https://github.com/MisaOgura/flashtorch,MIT,2019-03-22 13:00:57.000000,2020-12-14 23:09:26.000000,2020-05-29 14:37:29.000000,66.0,6.0,21.0,525,126.0,Visualization toolkit for neural networks in PyTorch! Demo --.,2.0,16,True,2020-05-29 14:39:38.000000,0.1.3,12.0,flashtorch,,,,['pytorch'],6.0,6.0,https://pypi.org/project/flashtorch,2020-05-29 14:38:32.000000,,183.0,183.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n749,Auto Tune Models,HDI-Project/ATM,,hyperopt,https://github.com/HDI-Project/ATM,https://github.com/HDI-Project/ATM,MIT,2016-10-14 18:03:00.000000,2020-02-21 17:44:07.000000,2020-02-21 17:40:58.000000,122.0,17.0,71.0,503,775.0,\"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).\",16.0,16,True,2019-07-30 09:28:26.000000,0.2.2,13.0,atm,,,,,6.0,6.0,https://pypi.org/project/atm,2019-06-24 13:31:28.000000,,49.0,49.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n750,Tensor Sensor,parrt/tensor-sensor,,pytorch-utils,https://github.com/parrt/tensor-sensor,https://github.com/parrt/tensor-sensor,MIT,2020-08-28 22:54:04.000000,2021-01-07 00:40:37.000000,2021-01-07 00:40:31.000000,23.0,4.0,12.0,488,155.0,The goal of this library is to generate more helpful exception messages for numpy/pytorch matrix algebra expressions.,2.0,16,True,2020-12-03 20:46:15.000000,0.1.1,33.0,tensor-sensor,,,,['pytorch'],1.0,1.0,https://pypi.org/project/tensor-sensor,2020-12-03 20:40:56.000000,,252.0,252.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n751,tcav,tensorflow/tcav,,interpretability,https://github.com/tensorflow/tcav,https://github.com/tensorflow/tcav,Apache-2.0,2018-07-03 17:45:35.000000,2021-01-11 22:12:58.000000,2020-07-14 17:14:43.000000,95.0,2.0,40.0,423,144.0,Code for the TCAV ML interpretability project.,16.0,16,True,2019-06-10 18:29:51.000000,0.2.1,3.0,tcav,,,,['tensorflow'],7.0,6.0,https://pypi.org/project/tcav,2019-06-10 18:29:51.000000,1.0,38.0,38.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n752,TF Compression,tensorflow/compression,,tensorflow-utils,https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19.000000,2021-01-12 22:11:00.000000,2021-01-12 22:10:16.000000,147.0,1.0,54.0,414,139.0,Data compression in TensorFlow.,9.0,16,True,2021-01-06 01:50:06.000000,2.0b2,8.0,tensorflow-compression,,,,['tensorflow'],1.0,,https://pypi.org/project/tensorflow-compression,2021-01-06 01:36:13.000000,1.0,402.0,402.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n753,lightly,lightly-ai/lightly,,image,https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000000,2021-01-12 22:40:38.000000,2021-01-12 08:05:52.000000,19.0,19.0,18.0,388,310.0,A python library for self-supervised learning.,4.0,16,True,2021-01-11 11:30:44.000000,1.0.8,11.0,lightly,,,,['pytorch'],,,https://pypi.org/project/lightly,2021-01-11 11:34:22.000000,,220.0,220.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n754,OpenRec,ylongqi/openrec,,recommender-systems,https://github.com/ylongqi/openrec,https://github.com/ylongqi/openrec,Apache-2.0,2017-11-29 16:04:40.000000,2020-11-13 17:47:17.000000,2020-02-19 07:57:17.000000,79.0,4.0,12.0,349,213.0,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms.,10.0,16,True,2018-11-13 17:55:55.000000,0.2.5,11.0,openrec,,,,,2.0,1.0,https://pypi.org/project/openrec,2019-09-11 20:21:21.000000,1.0,39.0,39.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n755,tfdeploy,riga/tfdeploy,,model-serialisation,https://github.com/riga/tfdeploy,https://github.com/riga/tfdeploy,BSD-3-Clause,2016-03-07 13:08:21.000000,2021-01-08 09:52:54.000000,2021-01-08 09:52:49.000000,38.0,10.0,23.0,346,170.0,Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.,4.0,16,True,2017-03-30 10:51:26.000000,0.4.2,22.0,tfdeploy,,,,['tensorflow'],2.0,,https://pypi.org/project/tfdeploy,2017-03-30 10:51:26.000000,2.0,61.0,61.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n756,pdvega,altair-viz/pdvega,,data-viz,https://github.com/altair-viz/pdvega,https://github.com/altair-viz/pdvega,MIT,2018-01-11 21:30:27.000000,2019-03-29 16:09:14.000000,2019-03-29 16:09:13.000000,28.0,16.0,10.0,340,177.0,Interactive plotting for Pandas using Vega-Lite.,9.0,16,False,,,1.0,pdvega,,,,,48.0,46.0,https://pypi.org/project/pdvega,2018-02-01 04:56:43.000000,2.0,84.0,84.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n757,datmo,datmo/datmo,,ml-experiments,https://github.com/datmo/datmo,https://github.com/datmo/datmo,MIT,2017-11-03 05:46:43.000000,2019-11-29 00:48:45.000000,2019-11-29 00:48:44.000000,28.0,42.0,149.0,333,1051.0,Open source production model management tool for data scientists.,6.0,16,False,2018-12-07 06:01:12.000000,0.0.40,41.0,datmo,,,,,5.0,5.0,https://pypi.org/project/datmo,2018-12-07 06:16:42.000000,,70.0,70.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n758,Pywick,achaiah/pywick,,pytorch-utils,https://github.com/achaiah/pywick,https://github.com/achaiah/pywick,MIT,2019-03-25 15:42:47.000000,2020-11-17 16:44:11.000000,2020-09-24 19:20:06.000000,35.0,2.0,9.0,309,109.0,High-level batteries-included neural network training library for Pytorch.,4.0,16,True,2020-01-20 22:14:21.000000,0.5.6,6.0,pywick,,,,['pytorch'],2.0,2.0,https://pypi.org/project/pywick,2020-01-20 22:14:21.000000,,233.0,233.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n759,Case Recommender,caserec/CaseRecommender,,recommender-systems,https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39.000000,2020-05-26 22:44:05.000000,2020-05-26 22:44:05.000000,66.0,6.0,16.0,308,201.0,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems.,10.0,16,True,2019-08-20 13:38:02.000000,1.1.0,40.0,caserecommender,,,,['sklearn'],5.0,5.0,https://pypi.org/project/caserecommender,2019-08-20 13:42:28.000000,,66.0,66.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n760,pytorch_geometric_temporal,benedekrozemberczki/pytorch_geometric_temporal,,graph,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,MIT,2020-06-27 01:11:33.000000,2020-12-27 19:31:59.000000,2020-12-27 19:31:51.000000,31.0,3.0,13.0,308,788.0,A Temporal Extension Library for PyTorch Geometric.,3.0,16,True,2020-12-07 10:55:10.000000,_00011,11.0,torch-geometric-temporal,,,,['pytorch'],,,https://pypi.org/project/torch-geometric-temporal,2020-12-07 10:52:55.000000,,132.0,132.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n761,VizSeq,facebookresearch/vizseq,,nlp,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38.000000,2020-12-13 18:55:58.000000,2020-12-13 18:55:54.000000,39.0,7.0,8.0,299,43.0,\"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).\",3.0,16,True,2020-08-07 01:13:52.000000,0.1.15,16.0,vizseq,,,,,1.0,1.0,https://pypi.org/project/vizseq,2020-08-07 01:13:52.000000,,61.0,61.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n762,LOFO,aerdem4/lofo-importance,,interpretability,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46.000000,2020-07-02 11:49:54.000000,2020-07-02 11:49:52.000000,40.0,1.0,10.0,290,24.0,Leave One Feature Out Importance.,3.0,16,True,2020-07-02 11:44:57.000000,0.2.6,9.0,lofo-importance,,,,,3.0,3.0,https://pypi.org/project/lofo-importance,2020-07-02 11:44:57.000000,,193.0,193.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n763,Muda,bmcfee/muda,,audio,https://github.com/bmcfee/muda,https://github.com/bmcfee/muda,ISC,2014-11-07 21:21:22.000000,2020-09-01 19:21:10.000000,2020-07-20 20:00:17.000000,30.0,5.0,44.0,172,291.0,A library for augmenting annotated audio data.,6.0,16,True,2019-11-15 15:46:21.000000,0.4.1,11.0,muda,,,,,8.0,7.0,https://pypi.org/project/muda,2019-11-15 15:46:21.000000,1.0,78.0,78.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n764,elegy,poets-ai/elegy,,ml-frameworks,https://github.com/poets-ai/elegy,https://github.com/poets-ai/elegy,Apache-2.0,2020-06-30 14:00:37.000000,2021-01-12 21:32:53.000000,2021-01-12 21:32:51.000000,10.0,15.0,34.0,147,254.0,Elegy is a Neural Networks framework based on Jax and inspired by Keras.,11.0,16,False,2020-12-17 15:44:27.000000,0.3.0,15.0,elegy,,,,\"['tensorflow', 'jax']\",,,https://pypi.org/project/elegy,2020-12-17 15:41:58.000000,,259.0,259.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n765,ipyexperiments,stas00/ipyexperiments,,gpu-utilities,https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40.000000,2020-11-17 04:11:19.000000,2020-11-17 04:11:16.000000,9.0,,4.0,123,177.0,jupyter/ipython experiment containers for GPU and general RAM re-use.,3.0,16,False,2020-11-16 07:08:34.000000,0.1.22,21.0,ipyexperiments,,,,['jupyter'],4.0,2.0,https://pypi.org/project/ipyexperiments,2020-11-17 04:10:43.000000,2.0,130.0,130.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n766,Larq Compute Engine,larq/compute-engine,,model-serialisation,https://github.com/larq/compute-engine,https://github.com/larq/compute-engine,Apache-2.0,2019-08-29 15:02:43.000000,2021-01-04 18:16:09.000000,2021-01-04 18:16:07.000000,20.0,21.0,88.0,122,440.0,Highly optimized inference engine for Binarized Neural Networks.,14.0,16,False,2020-09-21 13:31:57.000000,0.4.3,11.0,larq-compute-engine,,,,,1.0,1.0,https://pypi.org/project/larq-compute-engine,2020-09-21 17:41:53.000000,,230.0,241.0,,,,,,,,3.0,129.0,,,,,,,,,,,,,,,,,,,\n767,dabl,amueller/dabl,,sklearn-utils,https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49.000000,2021-01-11 23:09:14.000000,2020-07-08 16:14:41.000000,7.0,1.0,,62,252.0,Data Analysis Baseline Library.,18.0,16,False,2020-02-04 18:25:16.000000,0.1.9,10.0,dabl,,,,['sklearn'],,,https://pypi.org/project/dabl,2020-09-25 18:14:54.000000,,1720.0,1720.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n768,tinygrad,geohot/tinygrad,,pytorch-utils,https://github.com/geohot/tinygrad,https://github.com/geohot/tinygrad,MIT,2020-10-18 16:23:12.000000,2021-01-10 03:42:09.000000,2021-01-05 15:56:17.000000,436.0,12.0,61.0,3949,509.0,You like pytorch? You like micrograd? You love tinygrad!.,42.0,15,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n769,Botflow,kkyon/botflow,,data-pipelines,https://github.com/kkyon/botflow,https://github.com/kkyon/botflow,BSD-3-Clause,2018-08-20 03:13:31.000000,2020-12-31 09:03:22.000000,2019-05-23 14:40:50.000000,98.0,2.0,2.0,1151,192.0,\"Python Fast Dataflow programming framework for Data pipeline work( Web Crawler,Machine Learning,Quantitative..\",11.0,15,False,,,5.0,botflow,,,,,1.0,1.0,https://pypi.org/project/botflow,2018-09-14 14:38:32.000000,,16.0,16.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n770,MedicalTorch,perone/medicaltorch,,medical-data,https://github.com/perone/medicaltorch,https://github.com/perone/medicaltorch,Apache-2.0,2018-02-27 02:50:07.000000,2020-09-30 13:21:57.000000,2019-08-15 10:03:51.000000,106.0,14.0,9.0,703,55.0,A medical imaging framework for Pytorch.,7.0,15,False,2018-11-24 00:33:11.000000,0.2,2.0,medicaltorch,,,,['pytorch'],9.0,9.0,https://pypi.org/project/medicaltorch,2018-11-24 00:29:36.000000,,202.0,202.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n771,Translate,pytorch/translate,,nlp,https://github.com/pytorch/translate,https://github.com/pytorch/translate,BSD-3-Clause,2018-04-24 16:44:04.000000,2020-12-29 05:05:10.000000,2020-12-29 05:05:03.000000,158.0,66.0,27.0,675,803.0,Translate - a PyTorch Language Library.,84.0,15,True,,,1.0,pytorch-translate,,,,['pytorch'],,,https://pypi.org/project/pytorch-translate,2018-05-01 19:59:40.000000,,4.0,4.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n772,aim,aimhubio/aim,,ml-experiments,https://github.com/aimhubio/aim,https://github.com/aimhubio/aim,Apache-2.0,2019-05-31 18:25:07.000000,2021-01-12 15:48:57.000000,2021-01-12 15:48:56.000000,44.0,12.0,25.0,674,,\"Aim a super-easy way to record, search and compare 1000s of ML training runs.\",8.0,15,True,2019-11-06 08:06:11.000000,3.1.0,41.0,aim,,,,,2.0,,https://pypi.org/project/aim,2021-01-07 09:21:55.000000,2.0,940.0,940.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n773,torchsde,google-research/torchsde,,pytorch-utils,https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11.000000,2021-01-05 18:30:53.000000,2021-01-05 12:06:21.000000,54.0,5.0,26.0,631,140.0,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,4.0,15,True,2021-01-05 18:31:38.000000,0.2.4,4.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n774,AutoGL,THUMNLab/AutoGL,,graph,https://github.com/THUMNLab/AutoGL,https://github.com/THUMNLab/AutoGL,MIT,2020-11-30 14:26:22.000000,2020-12-29 10:32:06.000000,2020-12-29 10:32:05.000000,46.0,4.0,2.0,556,,An autoML framework & toolkit for machine learning on graphs.,4.0,15,True,2020-12-23 08:15:15.000000,0.1.1,2.0,auto-graph-learning,,,,['pytorch'],,,https://pypi.org/project/auto-graph-learning,2020-12-23 08:05:25.000000,,170.0,170.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n775,PandaPy,firmai/pandapy,,data-containers,https://github.com/firmai/pandapy,https://github.com/firmai/pandapy,MIT,2020-01-15 18:21:23.000000,2020-11-12 16:18:45.000000,2020-11-12 16:18:44.000000,44.0,2.0,1.0,466,83.0,PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai).,3.0,15,True,2020-11-12 16:12:54.000000,zen,22.0,pandapy,,,,['pandas'],1.0,1.0,https://pypi.org/project/pandapy,2020-01-25 23:10:32.000000,,71.0,71.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n776,cuSignal,rapidsai/cusignal,,gpu-utilities,https://github.com/rapidsai/cusignal,https://github.com/rapidsai/cusignal,Apache-2.0,2019-08-22 14:27:27.000000,2021-01-12 15:58:02.000000,2021-01-12 15:58:01.000000,56.0,17.0,81.0,434,,GPU accelerated signal processing.,28.0,15,True,2020-12-10 21:29:50.000000,0.17.0,3.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n777,zenml,maiot-io/zenml,,data-pipelines,https://github.com/maiot-io/zenml,https://github.com/maiot-io/zenml,Apache-2.0,2020-11-19 09:25:46.000000,2021-01-12 19:19:51.000000,2021-01-12 16:51:11.000000,22.0,1.0,2.0,369,,ZenML: Bring Zen to your ML with reproducible pipelines.,7.0,15,True,2021-01-08 13:37:51.000000,0.1.4,8.0,zenml,,,,,1.0,1.0,https://pypi.org/project/zenml,2021-01-08 13:33:32.000000,,252.0,252.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n778,Headliner,as-ideas/headliner,,nlp,https://github.com/as-ideas/headliner,https://github.com/as-ideas/headliner,MIT,2019-09-30 11:33:28.000000,2020-02-14 09:07:46.000000,2020-02-14 09:03:27.000000,37.0,1.0,13.0,220,276.0,Easy training and deployment of seq2seq models.,2.0,15,True,2020-01-24 09:06:29.000000,1.0.2,30.0,headliner,,,,,4.0,3.0,https://pypi.org/project/headliner,2020-01-24 09:06:29.000000,1.0,128.0,128.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n779,Parfit,jmcarpenter2/parfit,,hyperopt,https://github.com/jmcarpenter2/parfit,https://github.com/jmcarpenter2/parfit,MIT,2017-11-22 20:17:51.000000,2020-04-04 19:26:44.000000,2020-04-04 19:26:37.000000,25.0,5.0,5.0,198,127.0,\"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..\",2.0,15,True,,,23.0,parfit,,,,['sklearn'],7.0,7.0,https://pypi.org/project/parfit,2018-10-11 22:03:16.000000,,4220.0,4220.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n780,NeuralQA,victordibia/neuralqa,,nlp,https://github.com/victordibia/neuralqa,https://github.com/victordibia/neuralqa,MIT,2020-05-19 03:55:56.000000,2020-12-16 17:42:12.000000,2020-12-16 17:41:37.000000,23.0,18.0,8.0,180,312.0,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,3.0,15,True,,,26.0,neuralqa,,,,,2.0,2.0,https://pypi.org/project/neuralqa,2020-07-29 16:39:37.000000,,62.0,62.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n781,model-card-toolkit,tensorflow/model-card-toolkit,,interpretability,https://github.com/tensorflow/model-card-toolkit,https://github.com/tensorflow/model-card-toolkit,Apache-2.0,2020-07-24 16:48:58.000000,2021-01-12 22:33:47.000000,2021-01-12 22:33:35.000000,19.0,,2.0,151,77.0,a tool that leverages rich metadata and lineage information in MLMD to build a model card.,7.0,15,True,2020-10-16 19:26:46.000000,0.1.1,2.0,model-card-toolkit,,,,,1.0,1.0,https://pypi.org/project/model-card-toolkit,2020-10-16 19:26:46.000000,,76.0,76.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n782,steppy,minerva-ml/steppy,,ml-experiments,https://github.com/minerva-ml/steppy,https://github.com/minerva-ml/steppy,MIT,2018-01-15 09:40:49.000000,2018-11-23 09:49:59.000000,2018-11-23 09:47:34.000000,31.0,16.0,50.0,125,69.0,\"Lightweight, Python library for fast and reproducible experimentation.\",5.0,15,False,2018-11-23 09:49:59.000000,0.1.16,16.0,steppy,,,,,41.0,36.0,https://pypi.org/project/steppy,2018-11-23 09:49:59.000000,5.0,47.0,47.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n783,DE⫶TR,facebookresearch/detr,,image,https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52.000000,2020-12-04 20:03:39.000000,2020-11-15 16:03:45.000000,841.0,59.0,196.0,5873,41.0,End-to-End Object Detection with Transformers.,19.0,14,True,2020-06-29 16:41:01.000000,0.2,1.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n784,PySlowFast,facebookresearch/SlowFast,,image,https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26.000000,2021-01-07 19:07:34.000000,2021-01-07 19:07:27.000000,615.0,155.0,183.0,3252,97.0,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,19.0,14,True,,,,,,,,['pytorch'],2.0,2.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n785,OpenNRE,thunlp/OpenNRE,,nlp,https://github.com/thunlp/OpenNRE,https://github.com/thunlp/OpenNRE,MIT,2017-02-26 07:37:12.000000,2020-12-29 06:01:15.000000,2020-11-24 06:37:04.000000,830.0,16.0,284.0,2932,135.0,An Open-Source Package for Neural Relation Extraction (NRE).,9.0,14,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n786,Euler,alibaba/euler,,graph,https://github.com/alibaba/euler,https://github.com/alibaba/euler,Apache-2.0,2019-01-10 06:32:32.000000,2020-07-29 05:53:02.000000,2020-07-29 05:53:01.000000,500.0,200.0,97.0,2471,8.0,A distributed graph deep learning framework.,5.0,14,True,2020-07-07 02:24:18.000000,2.0.0,2.0,euler-gl,,,,['tensorflow'],,,https://pypi.org/project/euler-gl,2019-04-10 01:53:45.000000,,8.0,8.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n787,ENAS,carpedm20/ENAS-pytorch,,hyperopt,https://github.com/carpedm20/ENAS-pytorch,https://github.com/carpedm20/ENAS-pytorch,Apache-2.0,2018-02-15 04:54:37.000000,2020-12-09 18:13:03.000000,2020-06-16 07:23:32.000000,440.0,37.0,7.0,2366,53.0,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,6.0,14,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n788,GraphSAGE,williamleif/GraphSAGE,,graph,https://github.com/williamleif/GraphSAGE,https://github.com/williamleif/GraphSAGE,MIT,2017-05-29 15:36:22.000000,2020-11-13 17:49:54.000000,2018-09-19 19:27:00.000000,600.0,77.0,58.0,2095,59.0,Representation learning on large graphs using stochastic graph convolutions.,9.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n789,ZhuSuan,thu-ml/zhusuan,,probabilistics,https://github.com/thu-ml/zhusuan,https://github.com/thu-ml/zhusuan,MIT,2016-07-18 13:31:38.000000,2020-01-09 14:51:27.000000,2019-08-05 10:00:04.000000,375.0,8.0,53.0,2001,439.0,\"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.\",20.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n790,GraphEmbedding,shenweichen/GraphEmbedding,,graph,https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20.000000,2020-10-18 09:32:47.000000,2020-10-18 09:32:47.000000,539.0,26.0,13.0,1724,28.0,Implementation and experiments of graph embedding algorithms.,6.0,14,True,,,,,,,,['sklearn'],7.0,7.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n791,micrograd,karpathy/micrograd,,pytorch-utils,https://github.com/karpathy/micrograd,https://github.com/karpathy/micrograd,MIT,2020-04-13 04:31:18.000000,2020-12-18 12:55:50.000000,2020-04-18 19:15:25.000000,110.0,2.0,3.0,1539,24.0,A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.,2.0,14,True,2020-04-18 19:06:59.000000,0.1.0,1.0,micrograd,,,,['pytorch'],,,https://pypi.org/project/micrograd,2020-04-18 19:06:59.000000,,23.0,23.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n792,pycls,facebookresearch/pycls,,image,https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17.000000,2020-11-29 17:48:12.000000,2020-11-20 22:19:36.000000,149.0,10.0,44.0,1407,66.0,\"Codebase for Image Classification Research, written in PyTorch.\",7.0,14,True,2020-04-15 19:33:22.000000,0.1,1.0,,,,,['pytorch'],1.0,1.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n793,OpenNE,thunlp/OpenNE,,graph,https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20.000000,2020-11-30 14:02:23.000000,2019-08-12 10:56:27.000000,439.0,50.0,81.0,1391,98.0,An Open-Source Package for Network Embedding (NE).,10.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n794,Anchor,marcotcr/anchor,,interpretability,https://github.com/marcotcr/anchor,https://github.com/marcotcr/anchor,BSD-2-Clause,2018-02-02 23:38:50.000000,2020-09-10 17:49:26.000000,2020-09-10 17:48:28.000000,87.0,8.0,45.0,612,39.0,Code for High-Precision Model-Agnostic Explanations paper.,8.0,14,True,,,8.0,anchor_exp,,,,,,,https://pypi.org/project/anchor_exp,2020-06-26 20:56:50.000000,,444.0,444.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n795,Tez,abhishekkrthakur/tez,,pytorch-utils,https://github.com/abhishekkrthakur/tez,https://github.com/abhishekkrthakur/tez,Apache-2.0,2020-11-13 10:19:22.000000,2021-01-09 21:48:26.000000,2021-01-09 08:23:18.000000,45.0,6.0,6.0,392,,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,1.0,14,True,2020-12-26 12:37:23.000000,0.0.8,7.0,tez,,,,['pytorch'],,,https://pypi.org/project/tez,2020-12-26 12:37:23.000000,,1020.0,1020.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n796,TransferNLP,feedly/transfer-nlp,,nlp,https://github.com/feedly/transfer-nlp,https://github.com/feedly/transfer-nlp,MIT,2019-03-12 20:00:31.000000,2020-05-28 19:00:02.000000,2020-05-28 17:31:53.000000,18.0,4.0,19.0,285,465.0,NLP library designed for reproducible experimentation management.,7.0,14,True,2020-05-28 19:00:02.000000,0.1.6,8.0,transfer-nlp,,,,['pytorch'],,,https://pypi.org/project/transfer-nlp,2020-05-28 19:00:02.000000,,69.0,69.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n797,textvec,textvec/textvec,,nlp,https://github.com/textvec/textvec,https://github.com/textvec/textvec,MIT,2018-04-12 14:03:53.000000,2020-12-03 14:23:11.000000,2020-12-03 14:23:04.000000,21.0,2.0,6.0,152,70.0,Text vectorization tool to outperform TFIDF for classification tasks.,5.0,14,True,2019-09-12 07:41:04.000000,2.0,4.0,textvec,,,,['sklearn'],2.0,2.0,https://pypi.org/project/textvec,2020-12-03 14:17:09.000000,,103.0,103.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n798,DeepNeuro,QTIM-Lab/DeepNeuro,,medical-data,https://github.com/QTIM-Lab/DeepNeuro,https://github.com/QTIM-Lab/DeepNeuro,MIT,2017-06-01 19:36:34.000000,2020-06-24 13:00:15.000000,2020-06-24 13:00:14.000000,29.0,25.0,16.0,98,285.0,A deep learning python package for neuroimaging data. Made by:.,6.0,14,False,2019-04-11 16:57:02.000000,0.2.2,5.0,deepneuro,,,,,1.0,1.0,https://pypi.org/project/deepneuro,2019-04-11 16:57:02.000000,,52.0,52.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n799,nptsne,biovault/nptsne,,data-viz,https://github.com/biovault/nptsne,https://github.com/biovault/nptsne,Apache-2.0,2019-06-28 08:40:25.000000,2020-11-16 13:56:05.000000,2020-11-13 16:38:47.000000,2.0,7.0,2.0,24,834.0,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,3.0,14,False,2020-09-10 23:54:14.000000,1.1.0,2.0,nptsne,,,,,2.0,2.0,https://pypi.org/project/nptsne,2020-09-10 23:54:14.000000,,106.0,106.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n800,StarSpace,facebookresearch/StarSpace,,ml-frameworks,https://github.com/facebookresearch/StarSpace,https://github.com/facebookresearch/StarSpace,MIT,2017-06-28 17:50:18.000000,2020-05-18 03:40:57.000000,2019-12-13 19:03:25.000000,475.0,46.0,146.0,3525,138.0,\"Learning embeddings for classification, retrieval and ranking.\",17.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n801,OpenKE,thunlp/OpenKE,,graph,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,MIT,2017-10-08 11:20:23.000000,2020-04-08 11:00:38.000000,2020-04-08 11:00:32.000000,722.0,46.0,222.0,2324,97.0,An Open-Source Package for Knowledge Embedding (KE).,10.0,13,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n802,Torch-Struct,harvardnlp/pytorch-struct,,pytorch-utils,https://github.com/harvardnlp/pytorch-struct,https://github.com/harvardnlp/pytorch-struct,MIT,2019-08-26 19:34:30.000000,2021-01-11 01:37:02.000000,2020-07-30 15:58:25.000000,68.0,14.0,21.0,874,244.0,\"Fast, general, and tested differentiable structured prediction in PyTorch.\",10.0,13,True,2019-11-25 04:08:05.000000,0.4,1.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n803,NeoML,neoml-lib/neoml,,ml-frameworks,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000000,2021-01-12 18:10:16.000000,2021-01-12 18:09:59.000000,78.0,16.0,13.0,554,171.0,Machine learning framework for both deep learning and traditional algorithms.,16.0,13,True,2020-06-14 17:44:03.000000,NeoML-master_1.0.1.0,1.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n804,Adversary,airbnb/artificial-adversary,,adversarial,https://github.com/airbnb/artificial-adversary,https://github.com/airbnb/artificial-adversary,MIT,2018-08-08 04:42:11.000000,2018-10-14 05:34:44.000000,2018-08-29 15:31:30.000000,47.0,7.0,,339,15.0,Tool to generate adversarial text examples and test machine learning models against them.,5.0,13,False,2018-08-29 15:14:41.000000,1.1.1,3.0,Adversary,,,,,6.0,6.0,https://pypi.org/project/Adversary,2018-08-29 15:14:41.000000,,13.0,13.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n805,Auptimizer,LGE-ARC-AdvancedAI/auptimizer,,hyperopt,https://github.com/LGE-ARC-AdvancedAI/auptimizer,https://github.com/LGE-ARC-AdvancedAI/auptimizer,GPL-3.0,2019-09-12 01:08:37.000000,2020-12-04 01:00:53.000000,2020-12-04 00:51:11.000000,20.0,1.0,3.0,154,68.0,An automatic ML model optimization tool.,11.0,13,False,2020-11-19 05:14:22.000000,1.4,6.0,auptimizer,,,,,,,https://pypi.org/project/auptimizer,2020-11-19 00:23:49.000000,,34.0,34.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n806,nx-altair,Zsailer/nx_altair,,data-viz,https://github.com/Zsailer/nx_altair,https://github.com/Zsailer/nx_altair,MIT,2018-05-13 00:10:12.000000,2020-09-30 12:01:08.000000,2020-06-02 21:10:26.000000,19.0,4.0,4.0,153,51.0,Draw interactive NetworkX graphs with Altair.,3.0,13,True,2020-06-02 21:11:12.000000,0.1.6,8.0,nx-altair,,,,['jupyter'],2.0,,https://pypi.org/project/nx-altair,2020-06-02 21:11:12.000000,2.0,145.0,145.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n807,ModelChimp,ModelChimp/modelchimp,,ml-experiments,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03.000000,2021-01-12 23:16:28.000000,2019-12-06 08:58:55.000000,11.0,4.0,10.0,119,357.0,Experiment tracking for machine and deep learning projects.,2.0,13,False,2019-04-09 10:43:15.000000,0.4.0,37.0,modelchimp,,modelchimp/modelchimp-server,,,,,https://pypi.org/project/modelchimp,2019-04-09 10:41:20.000000,,67.0,91.0,,,,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,634.0,3.0,,,,,,,,,,,,,,,,,,,,\n808,Hypermax,electricbrainio/hypermax,,hyperopt,https://github.com/electricbrainio/hypermax,https://github.com/electricbrainio/hypermax,BSD-3-Clause,2018-07-27 18:43:01.000000,2020-08-02 18:08:50.000000,2020-08-02 18:08:46.000000,15.0,3.0,1.0,96,207.0,\"Better, faster hyper-parameter optimization.\",9.0,13,False,2019-10-23 15:40:12.000000,0.5.1,11.0,hypermax,,,,,4.0,4.0,https://pypi.org/project/hypermax,2019-10-23 15:40:12.000000,,20.0,20.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n809,contextual-ai,SAP/contextual-ai,,interpretability,https://github.com/SAP/contextual-ai,https://github.com/SAP/contextual-ai,Apache-2.0,2020-05-12 07:15:56.000000,2021-01-06 08:59:25.000000,2021-01-05 07:52:16.000000,9.0,4.0,1.0,65,615.0,\"Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference -..\",10.0,13,False,2020-06-16 14:16:10.000000,0.0.1,1.0,contextual-ai,,,,,,,https://pypi.org/project/contextual-ai,2020-06-16 14:16:10.000000,,52.0,52.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n810,LazyCluster,ml-tooling/lazycluster,,distributed-ml,https://github.com/ml-tooling/lazycluster,https://github.com/ml-tooling/lazycluster,Apache-2.0,2019-08-07 08:05:13.000000,2021-01-06 15:20:04.000000,2020-12-14 15:24:53.000000,4.0,,,32,,Distributed machine learning made simple.,2.0,13,False,2020-12-14 15:25:59.000000,0.2.4,5.0,lazycluster,,,,,2.0,2.0,https://pypi.org/project/lazycluster,2020-12-14 14:49:33.000000,,150.0,150.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n811,Medical Detection Toolkit,MIC-DKFZ/medicaldetectiontoolkit,,medical-data,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,Apache-2.0,2018-10-12 12:34:57.000000,2020-10-14 11:17:37.000000,2020-04-18 12:52:08.000000,230.0,27.0,85.0,890,36.0,\"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..\",3.0,12,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n812,GraphVite,DeepGraphLearning/graphvite,,graph,https://github.com/DeepGraphLearning/graphvite,https://github.com/DeepGraphLearning/graphvite,Apache-2.0,2019-07-16 15:48:20.000000,2020-03-19 18:21:30.972000,2020-03-18 23:16:04.000000,115.0,24.0,53.0,831,14.0,GraphVite: A General and High-performance Graph Embedding System.,1.0,12,True,,,4.0,,milagraph/graphvite,,,,,,,,,,197.0,https://anaconda.org/milagraph/graphvite,2020-03-19 18:21:30.972000,3353.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n813,Julius,adefossez/julius,,audio,https://github.com/adefossez/julius,https://github.com/adefossez/julius,MIT,2020-10-26 10:54:21.000000,2020-12-10 12:50:51.000000,2020-12-10 12:50:47.000000,6.0,,3.0,164,,Fast PyTorch based DSP for audio and 1D signals.,2.0,12,True,2020-11-25 18:04:38.000000,0.2.0,4.0,julius,,,,['pytorch'],2.0,2.0,https://pypi.org/project/julius,2020-11-25 18:04:38.000000,,144.0,144.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n814,featurewiz,AutoViML/featurewiz,,hyperopt,https://github.com/AutoViML/featurewiz,https://github.com/AutoViML/featurewiz,Apache-2.0,2020-11-29 16:46:16.000000,2020-12-27 16:17:18.000000,2020-12-27 16:15:42.000000,9.0,,,17,,Select the best features from your data set fast with a single line of code.,,12,False,2020-12-27 16:17:18.000000,0.0.14,14.0,featurewiz,,,,,,,https://pypi.org/project/featurewiz,2020-12-27 16:17:18.000000,,446.0,446.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n815,MedicalNet,Tencent/MedicalNet,,medical-data,https://github.com/Tencent/MedicalNet,https://github.com/Tencent/MedicalNet,MIT,2019-07-17 09:53:10.000000,2020-08-27 13:37:27.000000,2020-08-27 13:37:26.000000,279.0,42.0,14.0,1037,26.0,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,1.0,11,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n816,surpriver,tradytics/surpriver,,financial-data,https://github.com/tradytics/surpriver,https://github.com/tradytics/surpriver,GPL-3.0,2020-08-30 07:56:22.000000,2020-11-13 00:48:16.000000,2020-09-21 04:32:05.000000,184.0,5.0,4.0,1027,64.0,Find big moving stocks before they move using machine learning and anomaly detection.,6.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,\n817,Devol,joeddav/devol,,hyperopt,https://github.com/joeddav/devol,https://github.com/joeddav/devol,MIT,2017-02-10 03:07:54.000000,2020-07-05 21:56:59.000000,2020-07-05 21:56:58.000000,109.0,7.0,20.0,926,116.0,Genetic neural architecture search with Keras.,18.0,11,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n818,PySparNN,facebookresearch/pysparnn,,nn-search,https://github.com/facebookresearch/pysparnn,https://github.com/facebookresearch/pysparnn,BSD-3-Clause,2016-03-28 20:43:42.000000,2020-10-02 06:01:01.000000,2018-01-31 16:50:23.000000,142.0,11.0,14.0,844,147.0,Approximate Nearest Neighbor Search for Sparse Data in Python!.,5.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n819,ONNX-T5,abelriboulot/onnxt5,,nlp,https://github.com/abelriboulot/onnxt5,https://github.com/abelriboulot/onnxt5,Apache-2.0,2020-08-01 09:38:35.000000,2020-09-02 11:27:43.000000,2020-09-02 11:27:37.000000,17.0,3.0,6.0,134,68.0,\"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..\",2.0,11,False,2020-08-15 15:25:00.000000,0.1.6,10.0,onnxt5,,,,,,,https://pypi.org/project/onnxt5,2020-09-02 11:22:09.000000,,48.0,48.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n820,Attribution Priors,suinleelab/attributionpriors,,interpretability,https://github.com/suinleelab/attributionpriors,https://github.com/suinleelab/attributionpriors,MIT,2019-06-24 23:54:24.000000,2020-09-12 05:57:02.000000,2020-09-12 05:56:51.000000,3.0,1.0,3.0,72,64.0,Tools for training explainable models using attribution priors.,6.0,11,False,2019-07-18 21:13:37.000000,0.1.3,4.0,attributionpriors,,,,\"['tensorflow', 'pytorch']\",,,https://pypi.org/project/attributionpriors,2019-10-31 18:03:05.000000,,9.0,9.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n821,traintool,jrieke/traintool,,ml-experiments,https://github.com/jrieke/traintool,https://github.com/jrieke/traintool,Apache-2.0,2020-09-30 22:23:05.000000,2020-11-18 02:51:43.000000,2020-11-18 02:50:52.000000,1.0,,,8,120.0,Train off-the-shelf machine learning models in one line of code.,,11,False,2020-11-02 02:25:32.000000,0.0.3,3.0,traintool,,,,\"['pytorch', 'tensorflow', 'sklearn']\",,,https://pypi.org/project/traintool,2020-11-02 02:25:32.000000,,25.0,25.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n822,Hypertunity,gdikov/hypertunity,,hyperopt,https://github.com/gdikov/hypertunity,https://github.com/gdikov/hypertunity,Apache-2.0,2019-06-02 12:04:55.000000,2020-01-26 23:14:49.000000,2020-01-26 22:53:29.000000,9.0,,2.0,119,64.0,A toolset for black-box hyperparameter optimisation.,2.0,10,False,2020-01-26 23:08:16.000000,1.0.1,7.0,hypertunity,,,,,2.0,2.0,https://pypi.org/project/hypertunity,2020-01-26 23:08:16.000000,,13.0,13.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n823,traingenerator,jrieke/traingenerator,,others,https://github.com/jrieke/traingenerator,https://github.com/jrieke/traingenerator,MIT,2020-12-03 16:47:16.000000,2021-01-12 01:14:35.000000,2021-01-03 04:47:54.000000,102.0,10.0,,836,,A web app to generate template code for machine learning.,1.0,9,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n"
  },
  {
    "path": "history/2021-01-17_changes.md",
    "content": "## 📈 Trending Up\n\n_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._\n\n- <b><a href=\"https://github.com/python-pillow/Pillow\">Pillow</a></b> (🥇39 ·  ⭐ 8.1K · 📈) - The friendly PIL fork (Python Imaging Library). <code><a href=\"https://tldrlegal.com/search?q=PIL\">❗️PIL</a></code>\n- <b><a href=\"https://github.com/ahupp/python-magic\">python-magic</a></b> (🥈31 ·  ⭐ 1.8K · 📈) - A python wrapper for libmagic. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/facebookresearch/fastText\">fastText</a></b> (🥇30 ·  ⭐ 22K · 📈) - Library for fast text representation and classification. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/yzhao062/pyod\">PyOD</a></b> (🥇29 ·  ⭐ 4K · 📈) - A Python Toolbox for Scalable Outlier Detection (Anomaly Detection). <code><a href=\"http://bit.ly/3rqEWVr\">BSD-2</a></code>\n- <b><a href=\"https://github.com/huggingface/tokenizers\">Tokenizers</a></b> (🥈28 ·  ⭐ 4.2K · 📈) - Fast State-of-the-Art Tokenizers optimized for Research and.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/jrosebr1/imutils\">imutils</a></b> (🥈28 ·  ⭐ 3.5K · 📈) - A series of convenience functions to make basic image processing.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/arviz-devs/arviz\">arviz</a></b> (🥇28 ·  ⭐ 930 · 📈) - Exploratory analysis of Bayesian models with Python. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/dagster-io/dagster\">Dagster</a></b> (🥈27 ·  ⭐ 2.8K · 📈) - A data orchestrator for machine learning, analytics, and ETL. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/jina-ai/jina\">Jina</a></b> (🥈27 ·  ⭐ 1.9K · 📈) - An easier way to build neural search in the cloud. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/zarr-developers/zarr-python\">zarr</a></b> (🥉27 ·  ⭐ 620 · 📈) - An implementation of chunked, compressed, N-dimensional arrays for Python. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n\n## 📉 Trending Down\n\n_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._\n\n- <b><a href=\"https://github.com/pandas-dev/pandas\">pandas</a></b> (🥇42 ·  ⭐ 28K · 📉) - Flexible and powerful data analysis / manipulation library for.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1S\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/madmaze/pytesseract\">Tesseract</a></b> (🥇29 ·  ⭐ 3.4K · 📉) - Python-tesseract is an optical character recognition (OCR).. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/aws/sagemaker-python-sdk\">SageMaker SDK</a></b> (🥈29 ·  ⭐ 1.3K · 📉) - A library for training and deploying machine learning.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1X\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/google/flax\">Flax</a></b> (🥉27 ·  ⭐ 1.4K · 📉) - Flax is a neural network ecosystem for JAX that is designed for.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code>jax</code>\n- <b><a href=\"https://github.com/google/dopamine\">Dopamine</a></b> (🥈26 ·  ⭐ 9.3K · 📉) - Dopamine is a research framework for fast prototyping of.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/ludwig-ai/ludwig\">Ludwig</a></b> (🥉25 ·  ⭐ 7.4K · 📉) - Ludwig is a toolbox that allows to train and evaluate deep.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/pytorch/captum\">Captum</a></b> (🥈25 ·  ⭐ 2.1K · 📉) - Model interpretability and understanding for PyTorch. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/hill-a/stable-baselines\">Stable Baselines</a></b> (🥈24 ·  ⭐ 2.8K · 📉) - A fork of OpenAI Baselines, implementations of.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/singer-io/getting-started\">Singer</a></b> (🥉23 ·  ⭐ 670 · 📉) - Standard for moving data between databases, web APIs, files,.. <code><a href=\"http://bit.ly/3pwmjO5\">❗️AGPL-3.0</a></code>\n- <b><a href=\"https://github.com/NervanaSystems/neon\">neon</a></b> (🥉22 ·  ⭐ 3.9K · 💀) - Intel Nervana reference deep learning framework committed to best.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n\n## ➕ Added Projects\n\n_Projects that were recently added to this best-of list._\n\n- <b><a href=\"https://github.com/UKPLab/sentence-transformers\">sentence-transformers</a></b> (🥈28 ·  ⭐ 3.9K · ➕) - Multilingual Sentence Embeddings using BERT / RoBERTa.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code>bert</code> <code>xlnet</code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/gradio-app/gradio\">Gradio</a></b> (🥉23 ·  ⭐ 1.9K · ➕) - Wrap UIs around any model, share with anyone. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/PreferredAI/cornac\">Cornac</a></b> (🥈22 ·  ⭐ 300 · ➕) - A Comparative Framework for Multimodal Recommender Systems. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/jasmcaus/caer\">Caer</a></b> (🥉21 ·  ⭐ 310 · 🐣) - A lightweight Computer Vision library. Scale your models, not boilerplate. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/voxel51/fiftyone\">FiftyOne</a></b> (🥉18 ·  ⭐ 180 · ➕) - Visualize, create, and debug image and video datasets.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/mathurinm/celer\">celer</a></b> (🥉17 ·  ⭐ 100 · ➕) - Fast sklearn solvers for sparse problems (group Lasso, adaptive.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/csinva/imodels\">imodels</a></b> (🥉16 ·  ⭐ 140 · ➕) - Interpretable ML package for concise, transparent, and accurate.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n\n"
  },
  {
    "path": "history/2021-01-17_projects.csv",
    "content": ",name,github_id,resource,category,github_url,homepage,license,created_at,updated_at,last_commit_pushed_at,fork_count,open_issue_count,closed_issue_count,star_count,commit_count,description,contributor_count,projectrank,show,latest_stable_release_published_at,latest_stable_release_number,release_count,pypi_id,conda_id,dockerhub_id,docs_url,labels,dependent_project_count,github_dependent_project_count,pypi_url,pypi_latest_release_published_at,pypi_dependent_project_count,pypi_monthly_downloads,monthly_downloads,conda_url,conda_latest_release_published_at,conda_total_downloads,dockerhub_url,dockerhub_latest_release_published_at,dockerhub_stars,dockerhub_pulls,projectrank_placing,github_release_downloads,trending,helm_id,npm_id,npm_url,npm_latest_release_published_at,npm_dependent_project_count,npm_monthly_downloads,conda_dependent_project_count,brew_id,apt_id,yum_id,snap_id,new_addition,maven_id,maven_url,maven_latest_release_published_at,maven_dependent_project_count,dnf_id,yay_id,updated_github_id\n0,ANN Benchmarks,erikbern/ann-benchmarks,True,nn-search,https://github.com/erikbern/ann-benchmarks,https://github.com/erikbern/ann-benchmarks,MIT,2015-05-28 13:21:43.000000,2021-01-14 22:58:52.000000,2021-01-14 22:58:51.000000,317,25.0,56.0,2001,1161.0,Benchmarks of approximate nearest neighbor libraries in Python.,53.0,0,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n1,best-of-web-python - Web Scraping,ml-tooling/best-of-web-python,True,web-scraping,https://github.com/ml-tooling/best-of-web-python,https://github.com/ml-tooling/best-of-web-python,CC-BY-SA-4.0,2021-01-05 13:09:27.000000,2021-01-17 11:08:59.000000,2021-01-17 11:08:57.000000,16,1.0,,402,,Collection of web-scraping and crawling libraries.,2.0,0,True,2021-01-17 11:09:06.000000,2021.01.16,4.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n2,best-of-python - DB Clients,ml-tooling/best-of-web-python,True,db-clients,https://github.com/ml-tooling/best-of-web-python,https://github.com/ml-tooling/best-of-web-python,CC-BY-SA-4.0,2021-01-05 13:09:27.000000,2021-01-17 11:08:59.000000,2021-01-17 11:08:57.000000,16,1.0,,402,,Collection of database clients for python.,2.0,0,True,2021-01-17 11:09:06.000000,2021.01.16,4.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n3,Tensorflow,tensorflow/tensorflow,,ml-frameworks,https://github.com/tensorflow/tensorflow,https://github.com/tensorflow/tensorflow,Apache-2.0,2015-11-07 01:19:20.000000,2021-01-17 14:34:05.575365,2021-01-17 09:16:57.000000,83741,4285.0,25694.0,154316,102974.0,An Open Source Machine Learning Framework for Everyone.,3497.0,44,True,2021-01-06 17:51:27.000000,2.3.2,114.0,tensorflow,conda-forge/tensorflow,tensorflow/tensorflow,https://www.tensorflow.org/overview,['tensorflow'],140166.0,117642.0,https://pypi.org/project/tensorflow,2020-12-14 17:58:05.000000,22524.0,4746818.0,5539125.0,https://anaconda.org/conda-forge/tensorflow,2020-07-15 22:30:18.070000,2263778.0,https://hub.docker.com/r/tensorflow/tensorflow,2021-01-17 14:34:05.575365,1832.0,46703223.0,1.0,,,,,,,,,,,,,,,,,,,,,\n4,pandas,pandas-dev/pandas,,data-containers,https://github.com/pandas-dev/pandas,https://github.com/pandas-dev/pandas,BSD-3-Clause,2010-08-24 01:37:33.000000,2021-01-17 14:52:19.000000,2021-01-17 14:17:37.000000,11704,3570.0,16314.0,28088,25623.0,\"Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R..\",2569.0,42,True,2020-12-26 16:58:54.000000,1.2.0,87.0,pandas,conda-forge/pandas,,,['pandas'],444312.0,367528.0,https://pypi.org/project/pandas,2020-12-26 16:58:54.000000,76784.0,22744388.0,22981242.0,https://anaconda.org/conda-forge/pandas,2021-01-14 09:57:28.511000,13202039.0,,,,,1.0,92798.0,-1.0,,,,,,,,,,,,,,,,,,,\n5,numpy,numpy/numpy,,data-containers,https://github.com/numpy/numpy,https://github.com/numpy/numpy,BSD-3-Clause,2010-09-13 23:02:39.000000,2021-01-16 22:54:51.000000,2021-01-16 01:24:20.000000,5183,2242.0,7241.0,15972,25203.0,The fundamental package for scientific computing with Python.,1234.0,42,True,2021-01-05 17:49:34.000000,1.19.5,94.0,numpy,conda-forge/numpy,,,,770511.0,600789.0,https://pypi.org/project/numpy,2021-01-05 17:19:38.000000,169722.0,36895857.0,37173898.0,https://anaconda.org/conda-forge/numpy,2021-01-11 07:51:33.196000,15239347.0,,,,,1.0,295521.0,,,,,,,,,,,,,,,,,,,,\n6,scikit-learn,scikit-learn/scikit-learn,,ml-frameworks,https://github.com/scikit-learn/scikit-learn,https://github.com/scikit-learn/scikit-learn,BSD-3-Clause,2010-08-17 09:43:38.000000,2021-01-17 11:36:46.000000,2021-01-16 18:28:47.000000,20860,2326.0,6611.0,43742,26427.0,scikit-learn: machine learning in Python.,2120.0,41,True,2020-12-22 16:55:16.000000,0.24.0,52.0,scikit-learn,conda-forge/scikit-learn,,,['sklearn'],221076.0,183188.0,https://pypi.org/project/scikit-learn,2020-12-22 15:06:38.000000,37888.0,9636599.0,9749691.0,https://anaconda.org/conda-forge/scikit-learn,2020-12-22 17:47:32.588000,6332552.0,,,,,1.0,632.0,,,,,,,,,,,,,,,,,,,,\n7,Matplotlib,matplotlib/matplotlib,,data-viz,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,Python-2.0,2011-02-19 03:17:12.000000,2021-01-17 03:24:55.000000,2021-01-17 00:03:12.000000,5591,1667.0,5927.0,12936,37603.0,matplotlib: plotting with Python.,1193.0,41,True,2020-11-12 04:43:18.000000,3.3.3,61.0,matplotlib,conda-forge/matplotlib,,,,392865.0,313761.0,https://pypi.org/project/matplotlib,2020-11-12 04:43:18.000000,79104.0,8692754.0,8813723.0,https://anaconda.org/conda-forge/matplotlib,2021-01-14 06:32:33.548000,7742056.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n8,scipy,scipy/scipy,,others,https://github.com/scipy/scipy,https://github.com/scipy/scipy,BSD-3-Clause,2011-03-09 18:52:03.000000,2021-01-17 13:59:47.000000,2021-01-16 19:00:33.000000,3516,1578.0,5663.0,7840,24783.0,\"Ecosystem of open-source software for mathematics, science, and engineering.\",1108.0,40,True,2020-12-31 15:02:43.000000,1.6.0,59.0,scipy,conda-forge/scipy,,,,380047.0,293185.0,https://pypi.org/project/scipy,2020-12-22 21:20:33.000000,86862.0,13212996.0,13427254.0,https://anaconda.org/conda-forge/scipy,2021-01-12 04:49:45.843000,11740646.0,,,,,1.0,303926.0,,,,,,,,,,,,,,,,,,,,\n9,PyTorch,pytorch/pytorch,,ml-frameworks,https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41.000000,2021-01-17 14:07:49.000000,2021-01-17 07:32:30.000000,11688,7100.0,12601.0,45541,32807.0,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,2462.0,39,True,2020-12-10 17:19:58.000000,1.7.1,30.0,torch,pytorch/pytorch,,https://pytorch.org/docs/stable/index.html,['pytorch'],65626.0,58944.0,https://pypi.org/project/torch,2020-12-10 16:22:02.000000,6682.0,1641072.0,1897824.0,https://anaconda.org/pytorch/pytorch,2020-12-10 16:11:32.801000,9756576.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n10,Pillow,python-pillow/Pillow,,image,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000000,2021-01-16 16:57:43.000000,2021-01-16 16:57:42.000000,1554,233.0,1863.0,8113,11112.0,The friendly PIL fork (Python Imaging Library).,343.0,39,True,2021-01-02 20:13:09.000000,8.1.0,77.0,Pillow,conda-forge/pillow,,,,494622.0,383196.0,https://pypi.org/project/Pillow,2021-01-02 20:11:59.000000,111426.0,13221316.0,13339454.0,https://anaconda.org/conda-forge/pillow,2021-01-11 23:44:30.126000,6733914.0,,,,,1.0,,1.0,,,,,,,,,,,,,,,,,,,\n11,PySpark,apache/spark,,ml-frameworks,https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08.000000,2021-01-17 13:38:45.000000,2021-01-16 21:42:27.000000,23224,211.0,,28541,29098.0,Apache Spark Python API.,2384.0,38,True,2020-09-07 15:29:07.000000,3.0.1,21.0,pyspark,conda-forge/pyspark,,,['spark'],1302.0,542.0,https://pypi.org/project/pyspark,2020-09-07 15:29:07.000000,760.0,6433670.0,6452569.0,https://anaconda.org/conda-forge/pyspark,2020-09-07 17:29:01.440000,869361.0,,,,,1.0,,,stable/spark,,,,,,,,,,,,,,,,,,\n12,spaCy,explosion/spaCy,,nlp,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000000,2021-01-17 11:56:06.000000,2021-01-17 11:48:43.000000,3200,90.0,4153.0,18044,11727.0,Industrial-strength Natural Language Processing (NLP) with Python and Cython.,545.0,37,True,2020-12-11 14:45:05.000000,2.3.5,169.0,spacy,conda-forge/spacy,,,,23506.0,20440.0,https://pypi.org/project/spacy,2020-12-11 14:45:05.000000,3066.0,837723.0,867248.0,https://anaconda.org/conda-forge/spacy,2020-12-18 10:09:15.705000,1385001.0,,,,,1.0,2913.0,,,,,,,,,,,,,,,,,,,,\n13,Celery,celery/celery,,data-pipelines,https://github.com/celery/celery,https://github.com/celery/celery,BSD-3-Clause,2009-04-24 11:31:24.000000,2021-01-17 06:01:50.000000,2021-01-15 17:01:11.000000,3928,498.0,3921.0,16544,11498.0,Asynchronous task queue/job queue based on distributed message passing.,1077.0,37,True,2020-12-16 15:41:18.000000,5.0.5,171.0,celery,conda-forge/celery,,,,75916.0,47682.0,https://pypi.org/project/celery,2020-12-16 15:34:09.000000,28234.0,1853863.0,1860151.0,https://anaconda.org/conda-forge/celery,2020-11-11 10:39:38.599000,364754.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n14,networkx,networkx/networkx,,graph,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44.000000,2021-01-16 08:55:43.000000,2021-01-16 04:52:13.000000,2188,271.0,2289.0,8504,6384.0,Network Analysis in Python.,487.0,37,True,2020-08-22 20:10:33.000000,networkx-2.5,52.0,networkx,conda-forge/networkx,,,,85324.0,64506.0,https://pypi.org/project/networkx,2020-08-22 20:38:37.000000,20818.0,5002084.0,5058327.0,https://anaconda.org/conda-forge/networkx,2020-08-23 19:29:02.065000,2868428.0,,,,,1.0,51.0,,,,,,,,,,,,,,,,,,,,\n15,transformers,huggingface/transformers,,nlp,https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000000,2021-01-17 01:03:03.000000,2021-01-15 18:12:26.000000,9653,545.0,5133.0,39514,6326.0,Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.,750.0,36,True,2021-01-14 13:22:31.000000,4.2.1,46.0,transformers,conda-forge/transformers,,,\"['pytorch', 'tensorflow']\",7078.0,6950.0,https://pypi.org/project/transformers,2021-01-14 13:20:10.000000,128.0,643499.0,644551.0,https://anaconda.org/conda-forge/transformers,2021-01-14 17:26:44.349000,15075.0,,,,,1.0,1240.0,,,,,,,,,,,,,,,,,,,,\n16,Faker,joke2k/faker,,data-loading,https://github.com/joke2k/faker,https://github.com/joke2k/faker,MIT,2012-11-12 23:00:09.000000,2021-01-17 13:52:29.000000,2021-01-15 15:57:36.000000,1357,137.0,349.0,11970,2524.0,Faker is a Python package that generates fake data for you.,383.0,36,True,2021-01-15 15:59:13.000000,5.6.1,111.0,Faker,conda-forge/faker,,,,27200.0,22488.0,https://pypi.org/project/Faker,2021-01-15 15:59:00.000000,4712.0,1807955.0,1815831.0,https://anaconda.org/conda-forge/faker,2021-01-15 17:50:14.085000,362332.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n17,torchvision,pytorch/vision,,image,https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000000,2021-01-17 12:32:24.000000,2021-01-15 19:13:00.000000,4230,447.0,1060.0,8161,1411.0,\"Datasets, Transforms and Models specific to Computer Vision.\",352.0,36,True,2020-12-10 17:10:41.000000,0.8.2,21.0,torchvision,conda-forge/torchvision,,,['pytorch'],43800.0,39188.0,https://pypi.org/project/torchvision,2020-12-10 16:27:20.000000,4612.0,696332.0,697253.0,https://anaconda.org/conda-forge/torchvision,2018-10-14 22:06:28.203000,34108.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n18,SymPy,sympy/sympy,,others,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000000,2021-01-17 11:22:55.000000,2021-01-17 11:22:54.000000,3209,3953.0,7085.0,7746,45763.0,A computer algebra system written in pure Python.,1034.0,36,True,2020-12-12 23:23:00.000000,1.7.1,36.0,sympy,conda-forge/sympy,,,,34521.0,28099.0,https://pypi.org/project/sympy,2020-12-12 23:23:00.000000,6422.0,525149.0,551931.0,https://anaconda.org/conda-forge/sympy,2021-01-08 20:38:32.429000,1242993.0,,,,,1.0,412741.0,,,,,,,,,,,,,,,,,,,,\n19,StatsModels,statsmodels/statsmodels,,ml-frameworks,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000000,2021-01-17 09:44:26.000000,2021-01-12 19:36:47.000000,2145,2063.0,2240.0,5916,13543.0,Statsmodels: statistical modeling and econometrics in Python.,298.0,36,True,2020-10-29 16:36:43.000000,0.12.1,24.0,statsmodels,conda-forge/statsmodels,,,,42462.0,35806.0,https://pypi.org/project/statsmodels,2020-10-29 16:36:43.000000,6656.0,1835784.0,1893055.0,https://anaconda.org/conda-forge/statsmodels,2021-01-12 04:40:51.933000,3149939.0,,,,,1.0,25.0,,,,,,,,,,,,,,,,,,,,\n20,Tensorboard,tensorflow/tensorboard,,ml-experiments,https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000000,2021-01-16 07:34:18.000000,2021-01-16 01:03:44.000000,1339,549.0,910.0,5119,4180.0,TensorFlow's Visualization Toolkit.,249.0,36,True,2021-01-14 20:44:05.000000,2.4.1,36.0,tensorboard,conda-forge/tensorboard,,,['tensorflow'],54971.0,51357.0,https://pypi.org/project/tensorboard,2020-11-12 03:15:33.000000,3614.0,4930051.0,4970519.0,https://anaconda.org/conda-forge/tensorboard,2021-01-15 08:30:57.960000,1537784.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n21,scikit-image,scikit-image/scikit-image,,image,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,BSD-2-Clause,2011-07-07 22:07:20.000000,2021-01-17 05:12:47.000000,2021-01-17 02:59:04.000000,1713,644.0,1475.0,4133,12462.0,Image processing in Python.,475.0,36,True,2020-12-23 06:36:46.000000,0.18.1,35.0,scikit-image,conda-forge/scikit-image,,,,73371.0,58597.0,https://pypi.org/project/scikit-image,2020-12-23 06:36:46.000000,14774.0,1741040.0,1777813.0,https://anaconda.org/conda-forge/scikit-image,2020-12-23 15:59:08.642000,2059338.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n22,h5py,h5py/h5py,,data-containers,https://github.com/h5py/h5py,https://github.com/h5py/h5py,BSD-3-Clause,2012-09-21 00:40:02.000000,2021-01-15 14:09:09.000000,2021-01-15 12:02:27.000000,393,182.0,941.0,1468,3503.0,HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.,158.0,36,True,2020-11-06 14:30:54.000000,3.1.0,25.0,h5py,conda-forge/h5py,,,,121610.0,98674.0,https://pypi.org/project/h5py,2020-11-06 14:30:54.000000,22936.0,4898006.0,4974482.0,https://anaconda.org/conda-forge/h5py,2021-01-01 10:48:16.133000,4434649.0,,,,,1.0,782.0,,,,,,,,,,,,,,,,,,,,\n23,Keras,keras-team/keras,,ml-frameworks,https://github.com/keras-team/keras,https://github.com/keras-team/keras,MIT,2015-03-28 00:35:42.000000,2021-01-15 19:43:35.000000,2021-01-15 19:43:24.000000,18691,3165.0,7224.0,50529,5370.0,Deep Learning for humans.,895.0,35,True,2020-06-24 22:40:48.000000,2.4.3,53.0,keras,conda-forge/keras,,https://keras.io,['tensorflow'],14996.0,,https://pypi.org/project/keras,2020-06-24 22:40:48.000000,14996.0,1737932.0,1764342.0,https://anaconda.org/conda-forge/keras,2020-06-25 19:13:34.254000,1399776.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n24,OpenAI Gym,openai/gym,,reinforcement-learning,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16.000000,2021-01-14 15:25:07.000000,2021-01-11 17:58:46.000000,6600,235.0,1063.0,23212,1241.0,A toolkit for developing and comparing reinforcement learning algorithms.,272.0,35,True,2020-12-19 00:29:36.000000,0.18.0,92.0,gym,,,,,20775.0,17213.0,https://pypi.org/project/gym,2020-12-19 00:29:36.000000,3562.0,288639.0,288639.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n25,XGBoost,dmlc/xgboost,,ml-frameworks,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000000,2021-01-15 18:58:20.000000,2021-01-15 18:58:19.000000,7854,237.0,3646.0,20406,5188.0,\"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..\",501.0,35,True,2021-01-13 14:21:24.000000,1.3.2,50.0,xgboost,conda-forge/xgboost,,https://xgboost.readthedocs.io/en/latest/,,14592.0,13000.0,https://pypi.org/project/xgboost,2020-12-09 19:03:33.000000,1592.0,2384027.0,2412366.0,https://anaconda.org/conda-forge/xgboost,2020-12-10 13:41:20.626000,1302554.0,,,,,1.0,1895.0,,,,,,,,,,,,,,,,,,,,\n26,Airflow,apache/airflow,,data-pipelines,https://github.com/apache/airflow,https://github.com/apache/airflow,Apache-2.0,2015-04-13 18:04:58.000000,2021-01-17 14:40:14.000000,2021-01-17 12:53:11.000000,7764,979.0,1843.0,20277,11429.0,\"Platform to programmatically author, schedule, and monitor workflows.\",1710.0,35,True,2020-12-18 13:21:47.000000,2.0.0,67.0,apache-airflow,conda-forge/airflow,apache/airflow,,,294.0,,https://pypi.org/project/apache-airflow,2020-12-14 17:07:53.000000,294.0,518042.0,589071.0,https://anaconda.org/conda-forge/airflow,2020-11-26 16:17:26.980000,261173.0,https://hub.docker.com/r/apache/airflow,2021-01-16 17:57:36.984905,204.0,4409721.0,1.0,77068.0,,stable/airflow,,,,,,,,,,,,,,,,,,\n27,LightGBM,microsoft/LightGBM,,ml-frameworks,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000000,2021-01-17 14:02:05.000000,2021-01-16 21:28:01.000000,3176,92.0,1952.0,12061,2217.0,\"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..\",197.0,35,True,2020-12-08 03:00:35.000000,3.1.1,24.0,lightgbm,conda-forge/lightgbm,,,,5851.0,5295.0,https://pypi.org/project/lightgbm,2020-12-08 03:00:35.000000,556.0,1332584.0,1345601.0,https://anaconda.org/conda-forge/lightgbm,2021-01-15 08:38:34.182000,466019.0,,,,,1.0,86507.0,,,,,,,,,,,,,,,,,,,,\n28,gensim,RaRe-Technologies/gensim,,nlp,https://github.com/RaRe-Technologies/gensim,https://github.com/RaRe-Technologies/gensim,LGPL-2.1,2011-02-10 07:43:04.000000,2021-01-17 09:39:32.000000,2021-01-17 09:11:30.000000,3895,353.0,1246.0,11601,3849.0,Topic Modelling for Humans.,385.0,35,False,2020-05-04 05:55:15.000000,3.8.3,83.0,gensim,conda-forge/gensim,,,,24825.0,20083.0,https://pypi.org/project/gensim,2020-11-15 12:53:37.000000,4742.0,7580230.0,7594963.0,https://anaconda.org/conda-forge/gensim,2020-05-14 08:28:35.604000,587474.0,,,,,1.0,2945.0,,,,,,,,,,,,,,,,,,,,\n29,Plotly,plotly/plotly.py,,data-viz,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000000,2021-01-14 02:04:14.000000,2021-01-14 02:04:12.000000,1727,779.0,1046.0,8665,4923.0,The interactive graphing library for Python (includes Plotly Express).,162.0,35,True,2021-01-12 17:01:21.000000,4.14.3,265.0,plotly,conda-forge/plotly,,,,4991.0,5.0,https://pypi.org/project/plotly,2021-01-12 16:12:40.000000,4982.0,2517840.0,2602286.0,https://anaconda.org/conda-forge/plotly,2021-01-12 17:11:42.117000,1156172.0,,,,,1.0,,,,plotlywidget,https://www.npmjs.com/package/plotlywidget,2021-01-12 16:09:46.133000,4.0,62632.0,,,,,,,,,,,,,\n30,Seaborn,mwaskom/seaborn,,data-viz,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000000,2021-01-16 22:27:51.000000,2021-01-16 13:52:36.000000,1366,87.0,1664.0,7993,2741.0,Statistical data visualization using matplotlib.,147.0,35,True,2020-12-20 20:53:25.000000,0.11.1,23.0,seaborn,conda-forge/seaborn,,,,90331.0,77545.0,https://pypi.org/project/seaborn,2020-12-20 20:53:25.000000,12786.0,1719966.0,1755345.0,https://anaconda.org/conda-forge/seaborn,2020-12-21 10:06:33.576000,1875045.0,,,,,1.0,113.0,,,,,,,,,,,,,,,,,,,,\n31,dask,dask/dask,,distributed-ml,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000000,2021-01-16 23:09:25.000000,2021-01-15 21:23:17.000000,1206,701.0,2796.0,7766,6290.0,Parallel computing with task scheduling.,422.0,35,True,2021-01-15 21:25:29.000000,2021.1.0,110.0,dask,conda-forge/dask,,,,28434.0,24518.0,https://pypi.org/project/dask,2021-01-15 21:25:29.000000,3916.0,1229292.0,1279929.0,https://anaconda.org/conda-forge/dask,2021-01-16 03:43:53.371000,2835725.0,,,,,1.0,,,stable/dask,,,,,,,,,,,,,,,,,,\n32,Arrow,apache/arrow,,data-containers,https://github.com/apache/arrow,https://github.com/apache/arrow,Apache-2.0,2016-02-17 08:00:23.000000,2021-01-17 14:40:48.000000,2021-01-17 11:02:19.000000,1730,107.0,544.0,6890,8352.0,Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-..,612.0,35,True,2020-10-19 21:15:12.000000,2.0.0,29.0,pyarrow,conda-forge/arrow,,,,1015.0,29.0,https://pypi.org/project/pyarrow,2020-10-19 21:15:12.000000,986.0,14035475.0,14043516.0,https://anaconda.org/conda-forge/arrow,2021-01-12 20:46:01.093000,450328.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n33,joblib,joblib/joblib,,data-pipelines,https://github.com/joblib/joblib,https://github.com/joblib/joblib,BSD-3-Clause,2010-05-07 06:48:26.000000,2021-01-12 11:48:34.000000,2020-12-28 10:07:59.000000,286,291.0,350.0,2310,1365.0,Computing with Python functions.,98.0,35,True,2020-12-14 14:21:00.000000,1.0.0,99.0,joblib,conda-forge/joblib,,,,83549.0,76939.0,https://pypi.org/project/joblib,2020-12-14 14:21:00.000000,6610.0,15830561.0,15883271.0,https://anaconda.org/conda-forge/joblib,2020-12-14 14:36:22.998000,2846340.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n34,MXNet,apache/incubator-mxnet,,ml-frameworks,https://github.com/apache/incubator-mxnet,https://github.com/apache/incubator-mxnet,Apache-2.0,2015-04-30 16:21:15.000000,2021-01-17 13:25:22.000000,2021-01-16 20:51:00.000000,6808,1822.0,7544.0,19222,11501.0,\"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..\",948.0,34,True,2020-08-28 05:08:24.000000,1.7.0,976.0,mxnet,mxnet,,,['mxnet'],2174.0,1730.0,https://pypi.org/project/mxnet,2020-08-28 06:18:15.000000,444.0,138678.0,139248.0,https://anaconda.org/anaconda/mxnet,2020-02-29 00:58:31.007000,5683.0,,,,,2.0,23352.0,,,,,,,,0.0,,,,,,,,,,,,\n35,dash,plotly/dash,,data-viz,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000000,2021-01-17 01:54:37.000000,2021-01-17 00:59:29.000000,1401,401.0,554.0,13714,3542.0,\"Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.\",72.0,34,True,2020-12-09 22:01:52.000000,1.18.1,136.0,dash,conda-forge/dash,,,,18133.0,16525.0,https://pypi.org/project/dash,2020-12-09 21:34:25.000000,1608.0,211799.0,218268.0,https://anaconda.org/conda-forge/dash,2020-12-11 15:37:58.126000,207012.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n36,nltk,nltk/nltk,,nlp,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58.000000,2021-01-12 19:15:53.000000,2021-01-02 00:33:13.000000,2397,243.0,1221.0,9550,,Suite of libraries and programs for symbolic and statistical natural language processing for English.,386.0,34,True,2019-08-20 10:55:21.000000,3.4.5,39.0,nltk,conda-forge/nltk,,,,107021.0,86029.0,https://pypi.org/project/nltk,2020-04-12 23:46:10.000000,20992.0,4584354.0,4595941.0,https://anaconda.org/conda-forge/nltk,2019-08-08 17:07:46.504000,614113.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n37,Theano,Theano/Theano,,ml-frameworks,https://github.com/Theano/Theano,https://github.com/Theano/Theano,BSD-3-Clause,2011-08-10 03:48:06.000000,2020-11-01 11:19:03.292000,2020-09-05 10:39:50.000000,2501,674.0,2081.0,9326,28123.0,\"Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-..\",382.0,34,True,2020-07-27 16:13:54.000000,1.0.5,45.0,theano,conda-forge/theano,,,,15482.0,10008.0,https://pypi.org/project/theano,2020-07-27 16:13:54.000000,5474.0,191739.0,215178.0,https://anaconda.org/conda-forge/theano,2020-11-01 11:19:03.292000,1265755.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n38,mlflow,mlflow/mlflow,,ml-experiments,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000000,2021-01-17 12:36:09.000000,2021-01-15 08:44:54.000000,1852,670.0,1030.0,8182,1852.0,Open source platform for the machine learning lifecycle.,274.0,34,True,2020-12-31 09:17:41.000000,1.13.1,40.0,mlflow,conda-forge/mlflow,,,,1952.0,1798.0,https://pypi.org/project/mlflow,2020-12-31 08:55:08.000000,154.0,2397618.0,2407135.0,https://anaconda.org/conda-forge/mlflow,2021-01-11 17:08:19.258000,199864.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n39,dask.distributed,dask/distributed,,distributed-ml,https://github.com/dask/distributed,https://github.com/dask/distributed,BSD-3-Clause,2015-09-13 18:42:29.000000,2021-01-17 01:13:57.000000,2021-01-15 21:35:04.000000,505,709.0,1255.0,1131,3767.0,A distributed task scheduler for Dask.,226.0,34,True,2020-12-11 02:10:35.000000,2021.1.0,141.0,distributed,conda-forge/distributed,,,,17972.0,16194.0,https://pypi.org/project/distributed,2021-01-15 21:36:03.000000,1778.0,735439.0,798362.0,https://anaconda.org/conda-forge/distributed,2021-01-16 01:33:48.518000,3523741.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n40,Bokeh,bokeh/bokeh,,data-viz,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000000,2021-01-17 14:36:36.000000,2021-01-17 14:36:35.000000,3618,607.0,5732.0,14529,,\"Interactive Data Visualization in the browser, from Python.\",544.0,33,True,2020-10-21 02:39:03.000000,2.2.3,82.0,bokeh,conda-forge/bokeh,,,,35681.0,29809.0,https://pypi.org/project/bokeh,2021-01-11 23:41:48.000000,5872.0,994970.0,1074425.0,https://anaconda.org/conda-forge/bokeh,2021-01-13 10:22:16.472000,3575506.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n41,Ray,ray-project/ray,,distributed-ml,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000000,2021-01-17 14:49:43.000000,2021-01-17 04:00:01.000000,2310,1235.0,4512.0,14477,6962.0,\"An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged..\",415.0,33,True,2020-12-24 10:13:39.000000,1.1.0,43.0,ray,,,,,1646.0,1486.0,https://pypi.org/project/ray,2020-12-24 10:13:39.000000,160.0,149774.0,149774.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n42,luigi,spotify/luigi,,data-pipelines,https://github.com/spotify/luigi,https://github.com/spotify/luigi,Apache-2.0,2012-09-20 15:06:38.000000,2021-01-16 19:51:32.000000,2021-01-14 12:33:44.000000,2207,63.0,836.0,14124,3943.0,\"Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution,..\",551.0,33,True,2020-09-23 11:57:43.000000,3.0.2,72.0,luigi,luigi,,,,1981.0,1305.0,https://pypi.org/project/luigi,2020-09-23 11:57:12.000000,676.0,347903.0,348008.0,https://anaconda.org/anaconda/luigi,2020-07-21 19:50:10.849000,6251.0,,,,,1.0,,,stable/luigi,,,,,,,,,,,,,,,,,,\n43,pytorch-lightning,PyTorchLightning/pytorch-lightning,,ml-frameworks,https://github.com/PyTorchLightning/pytorch-lightning,https://github.com/PyTorchLightning/pytorch-lightning,Apache-2.0,2019-03-31 00:45:57.000000,2021-01-17 11:12:23.000000,2021-01-16 10:57:30.000000,1310,346.0,2416.0,11462,4070.0,\"The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.\",365.0,33,True,2021-01-12 20:45:54.000000,1.1.4,146.0,pytorch-lightning,conda-forge/pytorch-lightning,,,['pytorch'],1679.0,1665.0,https://pypi.org/project/pytorch-lightning,2021-01-12 20:45:54.000000,14.0,90461.0,92501.0,https://anaconda.org/conda-forge/pytorch-lightning,2021-01-12 23:11:01.475000,14273.0,,,,,2.0,34.0,,,,,,,,,,,,,,,,,,,,\n44,shap,slundberg/shap,,interpretability,https://github.com/slundberg/shap,https://github.com/slundberg/shap,MIT,2016-11-22 19:17:08.000000,2021-01-16 02:34:32.000000,2021-01-15 17:47:40.000000,1643,897.0,495.0,11426,1775.0,A game theoretic approach to explain the output of any machine learning model.,142.0,33,True,2021-01-15 18:02:54.000000,0.38.1,92.0,shap,conda-forge/shap,,,,2015.0,1879.0,https://pypi.org/project/shap,2020-11-04 21:38:32.000000,136.0,759303.0,771611.0,https://anaconda.org/conda-forge/shap,2020-12-16 19:26:39.477000,356936.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n45,dlib,davisking/dlib,,ml-frameworks,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000000,2021-01-17 03:14:06.000000,2021-01-16 15:13:52.000000,2832,46.0,1809.0,9804,7905.0,A toolkit for making real world machine learning and data analysis applications in C++.,164.0,33,False,2020-12-04 19:23:04.000000,19.21.1,28.0,dlib,conda-forge/dlib,,,,9329.0,7971.0,https://pypi.org/project/dlib,2020-12-04 19:23:04.000000,1358.0,63126.0,68490.0,https://anaconda.org/conda-forge/dlib,2021-01-14 21:24:20.585000,260144.0,,,,,2.0,24302.0,,,,,,,,,,,,,,,,,,,,\n46,onnx,onnx/onnx,,model-serialisation,https://github.com/onnx/onnx,https://github.com/onnx/onnx,Apache-2.0,2017-09-07 04:53:45.000000,2021-01-17 07:29:12.000000,2021-01-15 23:52:46.000000,1768,508.0,925.0,9635,1664.0,Open standard for machine learning interoperability.,191.0,33,True,2020-11-07 00:55:30.000000,1.8.0,19.0,onnx,conda-forge/onnx,,,,2690.0,2394.0,https://pypi.org/project/onnx,2020-11-06 22:46:10.000000,296.0,309098.0,314107.0,https://anaconda.org/conda-forge/onnx,2021-01-13 07:24:33.224000,180761.0,,,,,1.0,9902.0,,,,,,,,,,,,,,,,,,,,\n47,rq,rq/rq,,data-pipelines,https://github.com/rq/rq,https://github.com/rq/rq,BSD-3-Clause,2011-11-14 10:53:48.000000,2021-01-15 17:01:33.000000,2021-01-14 07:31:41.000000,1192,139.0,669.0,7478,1548.0,Simple job queues for Python.,222.0,33,True,2020-11-29 09:48:18.000000,1.7.0,63.0,rq,conda-forge/rq,,,,10419.0,7095.0,https://pypi.org/project/rq,2020-11-29 09:47:08.000000,3324.0,215894.0,216689.0,https://anaconda.org/conda-forge/rq,2020-11-29 15:11:15.371000,42946.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n48,geopy,geopy/geopy,,geospatial-data,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000000,2021-01-15 21:49:19.000000,2020-12-27 16:15:28.000000,524,24.0,212.0,3174,1004.0,Geocoding library for Python.,117.0,33,True,2020-12-27 13:15:23.000000,2.1.0,57.0,geopy,conda-forge/geopy,,,,22820.0,15576.0,https://pypi.org/project/geopy,2020-12-27 13:12:21.000000,7244.0,3824053.0,3832634.0,https://anaconda.org/conda-forge/geopy,2020-12-27 14:22:55.127000,497745.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n49,Shapely,Toblerity/Shapely,,geospatial-data,https://github.com/Toblerity/Shapely,https://github.com/Toblerity/Shapely,BSD-3-Clause,2011-12-31 19:43:11.000000,2021-01-15 13:05:12.000000,2020-12-15 22:43:38.000000,367,134.0,569.0,2107,1481.0,Manipulation and analysis of geometric objects.,104.0,33,True,2020-08-20 23:31:01.000000,1.7.1,99.0,shapely,conda-forge/shapely,,,,20988.0,15530.0,https://pypi.org/project/shapely,2020-08-20 23:31:01.000000,5458.0,1906427.0,1937689.0,https://anaconda.org/conda-forge/shapely,2020-10-13 00:26:59.387000,1969523.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n50,xlrd,python-excel/xlrd,,data-loading,https://github.com/python-excel/xlrd,https://github.com/python-excel/xlrd,BSD-3-Clause,2012-03-07 04:50:48.000000,2021-01-09 20:35:27.639000,2020-12-12 15:24:25.000000,406,3.0,,1843,502.0,Please use openpyxl where you can...,50.0,33,True,2020-12-11 10:14:20.000000,2.0.1,24.0,xlrd,conda-forge/xlrd,,,,75206.0,61632.0,https://pypi.org/project/xlrd,2020-12-11 10:14:20.000000,13574.0,5008821.0,5033803.0,https://anaconda.org/conda-forge/xlrd,2021-01-09 20:35:27.639000,1149199.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n51,Fastai,fastai/fastai,,ml-frameworks,https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000000,2021-01-17 02:53:13.000000,2021-01-13 13:41:52.000000,6903,64.0,1300.0,20286,1648.0,The fastai deep learning library.,472.0,32,True,2021-01-13 19:38:43.000000,2.2.5,116.0,fastai,,,,['pytorch'],368.0,,https://pypi.org/project/fastai,2021-01-13 19:38:43.000000,368.0,133616.0,133616.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n52,jax,google/jax,,ml-frameworks,https://github.com/google/jax,https://github.com/google/jax,Apache-2.0,2018-10-25 21:25:02.000000,2021-01-17 05:38:25.000000,2021-01-16 19:33:30.000000,944,708.0,1374.0,11077,6605.0,\"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.\",245.0,32,True,2021-01-12 17:00:28.000000,0.2.8,87.0,jax,conda-forge/jaxlib,,,,1041.0,995.0,https://pypi.org/project/jax,2021-01-12 17:00:28.000000,46.0,69926.0,73706.0,https://anaconda.org/conda-forge/jaxlib,2020-10-14 04:33:18.732000,68040.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n53,tensor2tensor,tensorflow/tensor2tensor,,tensorflow-utils,https://github.com/tensorflow/tensor2tensor,https://github.com/tensorflow/tensor2tensor,Apache-2.0,2017-06-15 16:57:39.000000,2020-12-15 01:23:04.000000,2020-11-16 14:28:10.000000,2707,545.0,663.0,10812,4345.0,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,230.0,32,True,2020-06-17 16:15:36.000000,1.15.7,79.0,tensor2tensor,,,,['tensorflow'],965.0,883.0,https://pypi.org/project/tensor2tensor,2020-06-17 16:15:36.000000,82.0,80895.0,80895.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n54,Rasa,RasaHQ/rasa,,nlp,https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49.000000,2021-01-17 07:27:05.000000,2021-01-14 14:30:10.000000,3223,564.0,4330.0,10538,24258.0,\"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..\",453.0,32,True,2021-01-12 22:16:23.000000,2.2.5,177.0,rasa,,,,['tensorflow'],64.0,,https://pypi.org/project/rasa,2021-01-12 22:16:11.000000,64.0,69035.0,69035.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n55,PyMC3,pymc-devs/pymc3,,probabilistics,https://github.com/pymc-devs/pymc3,https://github.com/pymc-devs/pymc3,Apache-2.0,2009-05-05 09:43:50.000000,2021-01-17 12:09:23.000000,2021-01-16 15:35:51.000000,1316,150.0,1960.0,5490,7628.0,Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano.,303.0,32,True,2020-12-07 15:59:43.000000,3.10.0,30.0,pymc3,conda-forge/pymc3,,,,2244.0,1958.0,https://pypi.org/project/pymc3,2020-12-07 15:45:00.000000,286.0,111791.0,116499.0,https://anaconda.org/conda-forge/pymc3,2020-12-07 20:54:14.048000,240057.0,,,,,1.0,145.0,,,,,,,,,,,,,,,,,,,,\n56,folium,python-visualization/folium,,geospatial-data,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000000,2021-01-15 20:45:45.000000,2021-01-15 20:14:41.000000,1896,146.0,685.0,5086,1469.0,Python Data. Leaflet.js Maps.,120.0,32,True,2021-01-06 19:37:18.000000,0.12.0,24.0,folium,conda-forge/folium,,,,9022.0,8054.0,https://pypi.org/project/folium,2021-01-06 19:37:18.000000,968.0,198935.0,204342.0,https://anaconda.org/conda-forge/folium,2021-01-06 21:06:10.173000,313612.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n57,Beam,apache/beam,,data-pipelines,https://github.com/apache/beam,https://github.com/apache/beam,Apache-2.0,2016-02-02 08:00:06.000000,2021-01-17 14:25:06.000000,2021-01-16 09:20:53.000000,2817,124.0,,4513,30246.0,\"Unified programming model to define and execute data processing pipelines, including ETL, batch and stream processing.\",997.0,32,True,2021-01-08 20:56:28.000000,2.27.0,30.0,apache-beam,,,,,186.0,,https://pypi.org/project/apache-beam,2021-01-08 20:08:17.000000,186.0,1446952.0,1446952.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n58,xmltodict,martinblech/xmltodict,,data-loading,https://github.com/martinblech/xmltodict,https://github.com/martinblech/xmltodict,MIT,2012-04-17 14:38:21.000000,2020-11-05 01:54:38.000000,2020-04-26 05:15:03.000000,395,63.0,134.0,4237,205.0,Python module that makes working with XML feel like you are working with JSON.,41.0,32,True,2019-02-11 07:00:26.000000,0.12.0,27.0,xmltodict,conda-forge/xmltodict,,,,28556.0,20322.0,https://pypi.org/project/xmltodict,2019-02-11 07:00:26.000000,8234.0,3754551.0,3765963.0,https://anaconda.org/conda-forge/xmltodict,2019-02-11 11:53:14.803000,604868.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n59,Tablib,jazzband/tablib,,data-loading,https://github.com/jazzband/tablib,https://github.com/jazzband/tablib,MIT,2011-03-28 02:36:50.000000,2020-12-13 06:03:08.000000,2020-12-11 07:22:54.000000,560,34.0,197.0,3836,1123.0,\"Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c.\",110.0,32,True,2020-12-05 14:56:28.000000,3.0.0,38.0,tablib,conda-forge/tablib,,,,11414.0,9056.0,https://pypi.org/project/tablib,2020-12-05 14:56:28.000000,2358.0,520308.0,521425.0,https://anaconda.org/conda-forge/tablib,2020-12-05 16:40:48.469000,55879.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n60,tensorflow-hub,tensorflow/hub,,tensorflow-utils,https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42.000000,2021-01-15 15:38:42.000000,2021-01-15 15:38:36.000000,1438,45.0,494.0,2679,822.0,A library for transfer learning by reusing parts of TensorFlow models.,66.0,32,True,2021-01-06 16:20:30.000000,0.11.0,14.0,tensorflow-hub,conda-forge/tensorflow-hub,,,['tensorflow'],5336.0,5022.0,https://pypi.org/project/tensorflow-hub,2021-01-06 16:20:30.000000,314.0,722509.0,724071.0,https://anaconda.org/conda-forge/tensorflow-hub,2020-08-24 16:43:36.561000,48426.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n61,TensorFlow Datasets,tensorflow/datasets,,data-loading,https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000000,2021-01-15 22:05:45.000000,2021-01-14 11:02:58.000000,938,401.0,523.0,2619,3692.0,\"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...\",180.0,32,True,2021-01-07 09:50:58.000000,4.2.0,21.0,tensorflow-datasets,,,,['tensorflow'],3488.0,3386.0,https://pypi.org/project/tensorflow-datasets,2021-01-07 09:50:58.000000,102.0,518261.0,518261.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n62,Thinc,explosion/thinc,,ml-frameworks,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59.000000,2021-01-05 02:39:31.000000,2021-01-05 02:39:30.000000,198,17.0,81.0,2153,4869.0,\"A refreshing functional take on deep learning, compatible with your favorite libraries.\",36.0,32,True,2020-12-11 09:45:43.000000,7.4.5,182.0,thinc,conda-forge/thinc,,,,11764.0,10626.0,https://pypi.org/project/thinc,2020-12-16 23:18:41.000000,1138.0,791081.0,809073.0,https://anaconda.org/conda-forge/thinc,2020-12-18 09:40:27.092000,845642.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n63,xarray,pydata/xarray,,data-containers,https://github.com/pydata/xarray,https://github.com/pydata/xarray,Apache-2.0,2013-09-30 17:21:10.000000,2021-01-17 14:54:14.000000,2021-01-15 18:19:55.000000,625,785.0,1877.0,1899,3480.0,N-D labeled arrays and datasets in Python.,288.0,32,True,2020-11-30 21:28:55.000000,0.16.2,55.0,xarray,conda-forge/xarray,,,,6026.0,4894.0,https://pypi.org/project/xarray,2020-11-30 21:26:20.000000,1132.0,260582.0,299960.0,https://anaconda.org/conda-forge/xarray,2020-12-01 04:59:09.242000,2283961.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n64,jieba,fxsjy/jieba,,chinese-nlp,https://github.com/fxsjy/jieba,https://github.com/fxsjy/jieba,MIT,2012-09-29 07:52:01.000000,2020-12-05 18:32:32.000000,2020-02-15 08:33:35.000000,6065,592.0,196.0,25275,523.0,Chinese Words Segmentation Utilities.,48.0,31,True,2020-01-20 14:27:23.000000,0.42.1,32.0,jieba,conda-forge/jieba,,,,11533.0,9017.0,https://pypi.org/project/jieba,2020-01-20 14:27:23.000000,2516.0,150815.0,152253.0,https://anaconda.org/conda-forge/jieba,2020-03-25 20:57:40.090000,64721.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n65,DeepSpeech,mozilla/DeepSpeech,,audio,https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53.000000,2021-01-12 18:33:12.000000,2021-01-03 09:56:24.000000,3020,96.0,1829.0,16318,3331.0,\"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..\",152.0,31,True,2020-12-10 17:22:09.000000,0.9.3,100.0,deepspeech,,,,['tensorflow'],411.0,382.0,https://pypi.org/project/deepspeech,2020-12-19 10:05:12.000000,29.0,11641.0,26059.0,,,,,,,,1.0,403726.0,,,,,,,,,,,,,,,,,,,,\n66,fairseq,pytorch/fairseq,,nlp,https://github.com/pytorch/fairseq,https://github.com/pytorch/fairseq,MIT,2017-08-29 16:26:12.000000,2021-01-17 03:10:06.000000,2021-01-17 03:09:59.000000,2748,602.0,1749.0,10989,1708.0,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,284.0,31,True,2021-01-05 20:26:45.000000,0.10.2,13.0,fairseq,,,,['pytorch'],289.0,269.0,https://pypi.org/project/fairseq,2021-01-05 20:26:45.000000,20.0,8446.0,8447.0,,,,,,,,1.0,57.0,,,,,,,,,,,,,,,,,,,,\n67,ChatterBot,gunthercox/ChatterBot,,nlp,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00.000000,2021-01-03 01:13:36.000000,2020-08-20 21:16:14.000000,3659,219.0,1221.0,10726,1847.0,\"ChatterBot is a machine learning, conversational dialog engine for creating chat bots.\",103.0,31,True,2020-08-22 18:42:43.000000,1.0.8,86.0,chatterbot,,,,,3748.0,3068.0,https://pypi.org/project/chatterbot,2020-08-22 18:40:36.000000,680.0,23986.0,23986.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n68,imgaug,aleju/imgaug,,image,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33.000000,2020-10-19 12:23:22.000000,2020-06-01 14:58:26.000000,1952,213.0,203.0,10554,2913.0,Image augmentation for machine learning experiments.,36.0,31,True,2020-02-06 06:18:40.000000,0.4.0,11.0,imgaug,conda-forge/imgaug,,,,5325.0,5047.0,https://pypi.org/project/imgaug,2020-02-05 20:54:22.000000,278.0,119685.0,121323.0,https://anaconda.org/conda-forge/imgaug,2020-02-14 16:06:53.525000,31133.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n69,pyecharts,pyecharts/pyecharts,,data-viz,https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000000,2021-01-16 10:03:17.000000,2020-12-23 04:48:42.000000,2322,20.0,1336.0,10382,1510.0,Python Echarts Plotting Library.,29.0,31,True,2020-10-29 15:14:08.000000,1.9.0,66.0,pyecharts,,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,['jupyter'],1716.0,1434.0,https://pypi.org/project/pyecharts,2020-10-29 15:14:08.000000,282.0,31538.0,31538.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n70,wordcloud,amueller/word_cloud,,data-viz,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59.000000,2021-01-14 18:03:24.960000,2020-11-11 21:35:51.000000,2023,96.0,343.0,7800,540.0,A little word cloud generator in Python.,58.0,31,True,2020-11-11 21:41:02.000000,1.8.1,16.0,wordcloud,conda-forge/wordcloud,,,,9517.0,8413.0,https://pypi.org/project/wordcloud,2020-11-11 21:41:02.000000,1104.0,222913.0,226341.0,https://anaconda.org/conda-forge/wordcloud,2021-01-14 18:03:24.960000,181712.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n71,Altair,altair-viz/altair,,data-viz,https://github.com/altair-viz/altair,https://github.com/altair-viz/altair,BSD-3-Clause,2015-09-19 03:14:04.000000,2021-01-12 16:59:04.000000,2021-01-12 16:59:02.000000,570,287.0,1202.0,6342,3047.0,Declarative statistical visualization library for Python.,121.0,31,True,2020-04-01 13:29:16.000000,4.1.0,26.0,altair,conda-forge/altair,,,,7700.0,7330.0,https://pypi.org/project/altair,2020-04-01 13:23:10.000000,370.0,630504.0,641237.0,https://anaconda.org/conda-forge/altair,2020-04-01 16:49:36.519000,579613.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n72,Catboost,catboost/catboost,,ml-frameworks,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000000,2021-01-17 14:27:55.000000,2021-01-17 14:27:50.000000,858,299.0,1028.0,5641,14290.0,\"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..\",718.0,31,True,2020-12-27 09:12:53.000000,0.24.4,91.0,catboost,conda-forge/catboost,,,,162.0,,https://pypi.org/project/catboost,2020-12-27 06:58:33.000000,162.0,710326.0,728769.0,https://anaconda.org/conda-forge/catboost,2020-12-29 11:38:06.128000,552384.0,,,,,2.0,47249.0,,,,,,,,,,,,,,,,,,,,\n73,Chainer,chainer/chainer,,ml-frameworks,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37.000000,2021-01-13 10:14:54.000000,2020-12-23 09:08:19.000000,1371,16.0,2016.0,5518,30550.0,A flexible framework of neural networks for deep learning.,319.0,31,True,2021-01-13 10:14:54.000000,7.0.0.post1,109.0,chainer,,,,,2547.0,1805.0,https://pypi.org/project/chainer,2021-01-13 09:29:55.000000,742.0,17811.0,17811.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n74,sentencepiece,google/sentencepiece,,nlp,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000000,2021-01-12 17:23:26.000000,2021-01-12 17:23:24.000000,633,22.0,389.0,4725,662.0,Unsupervised text tokenizer for Neural Network-based text generation.,48.0,31,True,2021-01-10 06:29:42.000000,0.1.95,30.0,sentencepiece,conda-forge/sentencepiece,,,,5636.0,5396.0,https://pypi.org/project/sentencepiece,2021-01-10 06:29:42.000000,240.0,978698.0,982896.0,https://anaconda.org/conda-forge/sentencepiece,2021-01-08 22:01:24.349000,23207.0,,,,,1.0,9614.0,,,,,,,,,,,,,,,,,,,,\n75,Optuna,optuna/optuna,,hyperopt,https://github.com/optuna/optuna,https://github.com/optuna/optuna,MIT,2018-02-21 06:12:56.000000,2021-01-15 11:40:31.000000,2021-01-15 03:30:32.000000,444,190.0,465.0,3913,8732.0,A hyperparameter optimization framework.,120.0,31,True,2021-01-12 07:33:47.000000,2.4.0,34.0,optuna,conda-forge/optuna,,,,915.0,863.0,https://pypi.org/project/optuna,2020-11-04 04:29:39.000000,52.0,149931.0,151120.0,https://anaconda.org/conda-forge/optuna,2021-01-13 04:21:59.552000,16646.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n76,tensorflow-probability,tensorflow/probability,,probabilistics,https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000000,2021-01-16 00:24:59.000000,2021-01-16 00:24:54.000000,843,423.0,518.0,3202,10190.0,Probabilistic reasoning and statistical analysis in TensorFlow.,400.0,31,True,2020-12-29 18:40:25.000000,0.12.1,35.0,tensorflow-probability,conda-forge/tensorflow-probability,,,['tensorflow'],253.0,1.0,https://pypi.org/project/tensorflow-probability,2020-12-29 17:46:08.000000,252.0,306895.0,308162.0,https://anaconda.org/conda-forge/tensorflow-probability,2020-03-13 21:04:53.147000,29141.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n77,scikit-optimize,scikit-optimize/scikit-optimize,,hyperopt,https://github.com/scikit-optimize/scikit-optimize,https://github.com/scikit-optimize/scikit-optimize,BSD-3-Clause,2016-03-20 21:10:54.000000,2021-01-05 21:54:32.000000,2020-12-31 12:07:52.000000,366,161.0,354.0,2004,1541.0,Sequential model-based optimization with a `scipy.optimize` interface.,68.0,31,True,2020-09-04 09:08:10.000000,0.8.1,22.0,scikit-optimize,conda-forge/scikit-optimize,,,,1456.0,1296.0,https://pypi.org/project/scikit-optimize,2020-09-04 09:08:10.000000,160.0,457341.0,461715.0,https://anaconda.org/conda-forge/scikit-optimize,2020-09-04 09:50:52.372000,183734.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n78,python-magic,ahupp/python-magic,,data-loading,https://github.com/ahupp/python-magic,https://github.com/ahupp/python-magic,MIT,2010-03-31 22:40:33.000000,2021-01-16 08:38:24.000000,2021-01-16 00:41:01.000000,215,27.0,126.0,1813,275.0,A python wrapper for libmagic.,49.0,31,True,2021-01-16 08:38:24.000000,0.4.20,20.0,python-magic,conda-forge/python-magic,,,,16593.0,11461.0,https://pypi.org/project/python-magic,2021-01-16 08:38:24.000000,5132.0,1332339.0,1333984.0,https://anaconda.org/conda-forge/python-magic,2020-12-24 22:42:00.639000,74053.0,,,,,2.0,,1.0,,,,,,,,,,,,,,,,,,,\n79,numexpr,pydata/numexpr,,data-containers,https://github.com/pydata/numexpr,https://github.com/pydata/numexpr,MIT,2013-11-30 22:33:48.000000,2021-01-13 23:35:13.025000,2021-01-04 20:06:02.000000,161,53.0,247.0,1510,677.0,\"Fast numerical array expression evaluator for Python, NumPy, PyTables, pandas, bcolz and more.\",55.0,31,True,2020-12-29 18:58:07.000000,2.7.2,38.0,numexpr,conda-forge/numexpr,,,,5482.0,,https://pypi.org/project/numexpr,2020-01-05 17:55:57.000000,5482.0,660211.0,699137.0,https://anaconda.org/conda-forge/numexpr,2021-01-13 23:35:13.025000,2063115.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n80,MNE,mne-tools/mne-python,,medical-data,https://github.com/mne-tools/mne-python,https://github.com/mne-tools/mne-python,BSD-3-Clause,2011-01-28 03:31:13.000000,2021-01-17 10:07:38.000000,2021-01-15 21:25:03.000000,836,298.0,3080.0,1478,15701.0,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,230.0,31,True,2020-12-17 15:32:54.000000,0.22.0,50.0,mne,conda-forge/mne,,,,985.0,787.0,https://pypi.org/project/mne,2020-12-17 15:32:54.000000,198.0,17622.0,19680.0,https://anaconda.org/conda-forge/mne,2020-12-20 21:44:36.472000,96726.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n81,imageio,imageio/imageio,,image,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000000,2021-01-08 09:05:25.000000,2021-01-08 09:05:24.000000,163,61.0,270.0,821,1127.0,Python library for reading and writing image data.,71.0,31,True,2020-07-10 07:45:22.000000,2.9.0,31.0,imageio,conda-forge/imageio,,,,38770.0,34932.0,https://pypi.org/project/imageio,2020-07-06 13:20:41.000000,3838.0,1830873.0,1864499.0,https://anaconda.org/conda-forge/imageio,2020-07-06 14:13:25.518000,1614082.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n82,fastText,facebookresearch/fastText,,nlp,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000000,2021-01-15 15:28:41.000000,2020-07-18 00:20:40.000000,4198,400.0,592.0,22132,379.0,Library for fast text representation and classification.,58.0,30,True,2020-04-28 09:54:50.000000,0.9.2,35.0,fasttext,conda-forge/fasttext,,,,1620.0,1430.0,https://pypi.org/project/fasttext,2020-04-28 09:54:50.000000,190.0,110089.0,110528.0,https://anaconda.org/conda-forge/fasttext,2020-10-12 14:55:45.199000,17154.0,,,,,1.0,,1.0,,,,,,,,,,,,,,,,,,,\n83,zipline,quantopian/zipline,,financial-data,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29.000000,2020-12-18 13:20:06.000000,2020-10-14 16:36:49.000000,3736,324.0,646.0,13122,6226.0,\"Zipline, a Pythonic Algorithmic Trading Library.\",151.0,30,True,2020-10-05 15:46:20.429000,1.4.1,30.0,zipline,,,,,828.0,670.0,https://pypi.org/project/zipline,2020-10-05 15:46:20.429000,158.0,4552.0,4552.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n84,Prophet,facebook/prophet,,time-series-data,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000000,2021-01-14 22:39:36.000000,2021-01-14 22:39:35.000000,3444,75.0,1427.0,12116,614.0,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,125.0,30,True,2020-09-05 16:12:50.000000,0.7.1,14.0,fbprophet,,,,,150.0,,https://pypi.org/project/fbprophet,2020-09-05 16:12:50.000000,150.0,588206.0,588217.0,,,,,,,,1.0,530.0,,,,,,,,,,,,,,,,,,,,\n85,horovod,horovod/horovod,,distributed-ml,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000000,2021-01-16 19:11:42.000000,2021-01-06 22:10:13.000000,1730,266.0,1392.0,10701,841.0,\"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.\",110.0,30,True,2021-01-07 00:00:40.000000,0.21.1,62.0,horovod,,,,,349.0,309.0,https://pypi.org/project/horovod,2021-01-07 00:00:40.000000,40.0,110444.0,110444.0,,,,,,,,2.0,,,stable/horovod,,,,,,,,,,,,,,,,,,\n86,flair,flairNLP/flair,,nlp,https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,MIT,2018-06-11 11:04:18.000000,2021-01-16 15:18:04.000000,2021-01-13 11:02:10.000000,1450,102.0,1321.0,9815,3045.0,A very simple framework for state-of-the-art Natural Language Processing (NLP).,160.0,30,True,2020-12-01 19:35:00.000000,0.7,19.0,flair,,,,['pytorch'],633.0,585.0,https://pypi.org/project/flair,2020-12-01 19:02:38.000000,48.0,36703.0,36703.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n87,TFlearn,tflearn/tflearn,,ml-frameworks,https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,MIT,2016-03-31 12:05:53.000000,2020-11-30 04:35:03.000000,2020-11-30 04:34:51.000000,2423,574.0,359.0,9504,613.0,Deep learning library featuring a higher-level API for TensorFlow.,128.0,30,True,2020-11-11 19:26:11.000000,0.5.0,8.0,tflearn,,,,['tensorflow'],3401.0,2920.0,https://pypi.org/project/tflearn,2020-11-11 19:13:47.000000,481.0,11734.0,11734.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n88,TPOT,EpistasisLab/tpot,,hyperopt,https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40.000000,2021-01-12 15:06:12.000000,2021-01-06 15:17:46.000000,1358,191.0,582.0,7743,2368.0,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,108.0,30,False,2021-01-06 15:20:08.000000,0.11.7,60.0,tpot,conda-forge/tpot,,,['sklearn'],862.0,782.0,https://pypi.org/project/tpot,2021-01-06 15:20:08.000000,80.0,62422.0,64367.0,https://anaconda.org/conda-forge/tpot,2020-12-14 22:49:13.925000,101155.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n89,Vowpal Wabbit,VowpalWabbit/vowpal_wabbit,,ml-frameworks,https://github.com/VowpalWabbit/vowpal_wabbit,https://github.com/VowpalWabbit/vowpal_wabbit,BSD-3-Clause,2009-07-31 19:36:58.000000,2021-01-15 21:57:23.000000,2021-01-15 19:31:25.000000,1707,161.0,860.0,7403,9000.0,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,298.0,30,True,2020-11-12 14:41:09.000000,8.9.0,12.0,vowpalwabbit,,,,,109.0,93.0,https://pypi.org/project/vowpalwabbit,2020-11-12 14:41:09.000000,16.0,17549.0,17549.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n90,DVC,iterative/dvc,,ml-experiments,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000000,2021-01-17 05:08:24.000000,2021-01-15 22:57:13.000000,660,483.0,2141.0,7068,6220.0,Data Version Control | Git for Data & Models.,203.0,30,True,2021-01-05 12:37:00.000000,1.11.10,289.0,dvc,conda-forge/dvc,,,,581.0,535.0,https://pypi.org/project/dvc,2021-01-05 12:37:00.000000,46.0,47217.0,73152.0,https://anaconda.org/conda-forge/dvc,2021-01-05 15:36:19.374000,438680.0,,,,,1.0,17208.0,,,,,,,,,dvc,dvc,dvc,,,,,,,,,\n91,Prefect,PrefectHQ/prefect,,data-pipelines,https://github.com/PrefectHQ/prefect,https://github.com/PrefectHQ/prefect,Apache-2.0,2018-06-29 21:59:26.000000,2021-01-16 14:39:14.000000,2021-01-16 14:39:13.000000,496,218.0,1293.0,5716,13084.0,The easiest way to automate your data.,173.0,30,True,2021-01-13 20:59:19.000000,0.14.3,80.0,prefect,conda-forge/prefect,,,,238.0,236.0,https://pypi.org/project/prefect,2021-01-13 20:59:19.000000,2.0,43771.0,46744.0,https://anaconda.org/conda-forge/prefect,2021-01-13 22:38:36.713000,65408.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n92,SpeechRecognition,Uberi/speech_recognition,,audio,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54.000000,2021-01-11 17:26:33.040000,2019-07-02 17:29:47.000000,1853,201.0,269.0,5355,360.0,\"Speech recognition module for Python, supporting several engines and APIs, online and offline.\",41.0,30,False,2017-12-05 14:05:14.000000,3.8.1,52.0,SpeechRecognition,conda-forge/speechrecognition,,,,7593.0,6505.0,https://pypi.org/project/SpeechRecognition,2017-12-05 13:58:29.000000,1088.0,107910.0,109687.0,https://anaconda.org/conda-forge/speechrecognition,2021-01-11 17:26:33.040000,94205.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n93,Hyperopt,hyperopt/hyperopt,,hyperopt,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59.000000,2021-01-08 18:19:46.000000,2020-12-24 07:20:10.000000,841,329.0,219.0,5343,1168.0,Distributed Asynchronous Hyperparameter Optimization in Python.,84.0,30,True,2020-10-07 09:52:56.000000,0.2.5,11.0,hyperopt,conda-forge/hyperopt,,,,3013.0,2509.0,https://pypi.org/project/hyperopt,2020-10-07 09:52:56.000000,504.0,375584.0,381214.0,https://anaconda.org/conda-forge/hyperopt,2020-10-14 07:57:14.292000,157645.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n94,imbalanced-learn,scikit-learn-contrib/imbalanced-learn,,sklearn-utils,https://github.com/scikit-learn-contrib/imbalanced-learn,https://github.com/scikit-learn-contrib/imbalanced-learn,MIT,2014-08-16 05:08:26.000000,2020-12-23 12:15:04.000000,2020-11-03 21:43:11.000000,1059,46.0,401.0,4963,701.0,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,51.0,30,True,2020-06-09 10:45:32.000000,0.7.0,26.0,imbalanced-learn,conda-forge/imbalanced-learn,,,['sklearn'],4089.0,3809.0,https://pypi.org/project/imbalanced-learn,2020-06-09 10:39:03.000000,280.0,692945.0,695645.0,https://anaconda.org/conda-forge/imbalanced-learn,2020-06-14 14:47:57.352000,105334.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n95,CuPy,cupy/cupy,,gpu-utilities,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000000,2021-01-16 19:07:37.000000,2021-01-15 07:36:05.000000,430,366.0,870.0,4785,20346.0,A NumPy-compatible array library accelerated by CUDA.,253.0,30,True,2020-12-25 05:33:27.000000,8.3.0,85.0,cupy,conda-forge/cupy,cupy/cupy,,,826.0,634.0,https://pypi.org/project/cupy,2020-12-25 03:21:57.000000,192.0,7061.0,30597.0,https://anaconda.org/conda-forge/cupy,2021-01-14 04:37:52.291000,336963.0,https://hub.docker.com/r/cupy/cupy,2021-01-15 07:41:39.977819,6.0,47744.0,1.0,5568.0,,,,,,,,,,,,,,,,,,,,\n96,MLxtend,rasbt/mlxtend,,sklearn-utils,https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16.000000,2021-01-09 21:38:10.000000,2021-01-09 21:38:09.000000,683,99.0,261.0,3282,1152.0,A library of extension and helper modules for Python's data analysis and machine learning libraries.,79.0,30,True,2020-11-26 04:18:15.000000,0.18.0,46.0,mlxtend,conda-forge/mlxtend,,,['sklearn'],2455.0,2360.0,https://pypi.org/project/mlxtend,2020-11-26 04:18:15.000000,95.0,189521.0,193069.0,https://anaconda.org/conda-forge/mlxtend,2020-11-26 05:32:00.667000,149045.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n97,bqplot,bqplot/bqplot,,data-viz,https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18.000000,2021-01-14 14:38:26.569000,2021-01-14 14:18:28.000000,402,188.0,313.0,2987,3214.0,Plotting library for IPython/Jupyter notebooks.,51.0,30,True,2021-01-14 14:22:16.000000,0.12.21,89.0,bqplot,conda-forge/bqplot,,,['jupyter'],1290.0,1168.0,https://pypi.org/project/bqplot,2021-01-14 14:19:33.000000,112.0,11124.0,131715.0,https://anaconda.org/conda-forge/bqplot,2021-01-14 14:38:26.569000,454622.0,,,,,2.0,,,,bqplot,https://www.npmjs.com/package/bqplot,2021-01-14 14:17:47.627000,10.0,112473.0,,,,,,,,,,,,,\n98,wandb client,wandb/client,,ml-experiments,https://github.com/wandb/client,https://github.com/wandb/client,MIT,2017-03-24 05:46:23.000000,2021-01-17 03:18:36.000000,2021-01-17 03:15:06.000000,182,342.0,644.0,2626,3744.0,A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.,73.0,30,True,2021-01-16 04:00:39.000000,0.10.14,183.0,wandb,,,,,1883.0,1805.0,https://pypi.org/project/wandb,2021-01-16 03:58:29.000000,78.0,178129.0,178129.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n99,torchtext,pytorch/text,,nlp,https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000000,2021-01-17 12:36:14.000000,2021-01-15 22:43:24.000000,598,263.0,311.0,2618,704.0,Data loaders and abstractions for text and NLP.,104.0,30,True,2020-12-10 17:03:55.000000,0.8.1,12.0,torchtext,,,,['pytorch'],4238.0,3556.0,https://pypi.org/project/torchtext,2020-12-10 16:28:00.000000,682.0,77636.0,77636.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n100,mrjob,Yelp/mrjob,,data-pipelines,https://github.com/Yelp/mrjob,https://github.com/Yelp/mrjob,Apache-2.0,2010-10-13 18:35:21.000000,2020-12-24 22:44:29.424000,2020-11-16 22:20:52.000000,590,199.0,1089.0,2525,8622.0,Run MapReduce jobs on Hadoop or Amazon Web Services.,142.0,30,True,2020-09-17 22:26:01.000000,0.7.4,60.0,mrjob,conda-forge/mrjob,,,,765.0,653.0,https://pypi.org/project/mrjob,2020-09-17 22:26:01.000000,112.0,102339.0,108285.0,https://anaconda.org/conda-forge/mrjob,2020-12-24 22:44:29.424000,309198.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n101,GeoPandas,geopandas/geopandas,,geospatial-data,https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000000,2021-01-15 21:13:37.000000,2021-01-14 14:20:03.000000,528,294.0,659.0,2431,1313.0,Python tools for geographic data.,130.0,30,True,2020-07-15 17:59:00.000000,0.8.1,34.0,geopandas,conda-forge/geopandas,,,['pandas'],8061.0,6895.0,https://pypi.org/project/geopandas,2020-06-24 13:38:40.000000,1166.0,377359.0,391346.0,https://anaconda.org/conda-forge/geopandas,2020-07-16 18:56:42.068000,810393.0,,,,,2.0,843.0,,,,,,,,,,,,,,,,,,,,\n102,smart-open,RaRe-Technologies/smart_open,,data-loading,https://github.com/RaRe-Technologies/smart_open,https://github.com/RaRe-Technologies/smart_open,MIT,2015-01-02 13:05:52.000000,2021-01-17 07:23:55.000000,2021-01-17 07:23:19.000000,266,69.0,235.0,1891,846.0,\"Utils for streaming large files (S3, HDFS, gzip, bz2...).\",71.0,30,True,2020-12-30 07:19:09.000000,4.1.0,45.0,smart-open,,,,,640.0,,https://pypi.org/project/smart-open,2020-12-30 07:17:50.000000,640.0,8336081.0,8336081.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n103,opencv-python,skvark/opencv-python,,image,https://github.com/skvark/opencv-python,https://github.com/skvark/opencv-python,MIT,2016-04-08 13:36:40.000000,2021-01-03 16:32:34.000000,2020-12-28 18:40:12.000000,306,18.0,368.0,1684,749.0,\"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..\",27.0,30,True,2021-01-03 17:36:16.000000,47,47.0,opencv-python,,,,,12560.0,,https://pypi.org/project/opencv-python,2021-01-02 12:15:05.000000,12560.0,2109499.0,2109499.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n104,Rasterio,mapbox/rasterio,,geospatial-data,https://github.com/mapbox/rasterio,https://github.com/mapbox/rasterio,BSD-3-Clause,2013-11-04 16:36:27.000000,2021-01-12 19:45:24.000000,2021-01-12 19:44:37.000000,390,135.0,1191.0,1410,3250.0,Rasterio reads and writes geospatial raster datasets.,110.0,30,True,2020-10-21 01:56:29.000000,1.1.8,119.0,rasterio,conda-forge/rasterio,,,,3456.0,2606.0,https://pypi.org/project/rasterio,2021-01-12 15:46:58.000000,850.0,121688.0,136199.0,https://anaconda.org/conda-forge/rasterio,2020-10-30 14:13:05.008000,841082.0,,,,,2.0,702.0,,,,,,,,,,,,,,,,,,,,\n105,TF Addons,tensorflow/addons,,tensorflow-utils,https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17.000000,2021-01-17 13:13:45.000000,2021-01-15 22:30:11.000000,415,167.0,612.0,1167,1319.0,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,145.0,30,True,2020-12-23 19:42:08.000000,0.12.0,24.0,tensorflow-addons,,,,['tensorflow'],2013.0,1995.0,https://pypi.org/project/tensorflow-addons,2020-12-23 19:42:08.000000,18.0,214116.0,214116.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n106,Wand,emcconville/wand,,image,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000000,2020-12-08 02:05:17.000000,2020-12-08 02:05:10.000000,183,13.0,319.0,1043,1678.0,The ctypes-based simple ImageMagick binding for Python.,94.0,30,True,2020-11-29 20:47:13.000000,0.6.5,47.0,wand,,,,,4233.0,3063.0,https://pypi.org/project/wand,2020-11-29 20:40:49.000000,1170.0,110796.0,110996.0,,,,,,,,2.0,5201.0,,,,,,,,,,,,,,,,,,,,\n107,Fiona,Toblerity/Fiona,,geospatial-data,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00.000000,2021-01-08 14:18:57.000000,2020-11-30 07:11:40.000000,165,69.0,546.0,770,1093.0,Fiona reads and writes geographic data files.,65.0,30,True,2020-11-17 18:32:17.000000,1.8.18,96.0,fiona,conda-forge/fiona,,,,6019.0,4831.0,https://pypi.org/project/fiona,2020-11-17 18:32:17.000000,1188.0,435830.0,464123.0,https://anaconda.org/conda-forge/fiona,2020-11-17 20:48:12.542000,1640999.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n108,Nilearn,nilearn/nilearn,,medical-data,https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000000,2021-01-15 16:43:14.000000,2021-01-15 08:28:05.000000,371,378.0,1081.0,693,9284.0,Machine learning for NeuroImaging in Python.,158.0,30,True,2020-11-12 11:44:49.000000,0.7.0,35.0,nilearn,conda-forge/nilearn,,,['sklearn'],1160.0,858.0,https://pypi.org/project/nilearn,2020-11-12 11:44:49.000000,302.0,8448.0,9810.0,https://anaconda.org/conda-forge/nilearn,2020-11-12 13:26:03.600000,76305.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n109,Face Recognition,ageitgey/face_recognition,,image,https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39.000000,2020-12-19 11:44:26.000000,2020-09-26 15:32:59.000000,10548,559.0,526.0,38171,211.0,The world's simplest facial recognition api for Python and the command line.,45.0,29,True,2018-08-21 18:34:21.000000,1.2.3,21.0,face_recognition,,,,['pytorch'],406.0,,https://pypi.org/project/face_recognition,2018-08-21 18:34:21.000000,406.0,27970.0,27979.0,,,,,,,,2.0,438.0,,,,,,,,,,,,,,,,,,,,\n110,Magenta,magenta/magenta,,audio,https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40.000000,2021-01-16 00:47:39.000000,2021-01-13 01:40:37.000000,3297,293.0,538.0,16188,1374.0,Magenta: Music and Art Generation with Machine Intelligence.,144.0,29,True,2020-11-12 19:17:18.000000,2.1.3,66.0,magenta,,,,['tensorflow'],296.0,261.0,https://pypi.org/project/magenta,2020-11-12 19:17:18.000000,35.0,4733.0,4733.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n111,PaddlePaddle,PaddlePaddle/Paddle,,ml-frameworks,https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000000,2021-01-17 14:15:59.000000,2021-01-17 10:39:56.000000,3387,2386.0,10306.0,13821,15069.0,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,489.0,29,True,2020-12-18 09:06:54.000000,2.0.0-rc1,41.0,paddlepaddle,,,,['paddle'],42.0,26.0,https://pypi.org/project/paddlepaddle,2020-12-14 08:03:41.000000,16.0,6234.0,6521.0,,,,,,,,2.0,15247.0,,,,,,,,,,,,,,,,,,,,\n112,Faiss,facebookresearch/faiss,,nn-search,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000000,2021-01-15 12:54:15.000000,2021-01-13 16:28:25.000000,2052,98.0,1251.0,12191,424.0,A library for efficient similarity search and clustering of dense vectors.,72.0,29,True,2020-12-21 05:24:03.000000,1.6.5,43.0,pymilvus,conda-forge/faiss,,,,301.0,295.0,https://pypi.org/project/pymilvus,2020-10-16 13:11:09.000000,6.0,6706.0,9362.0,https://anaconda.org/conda-forge/faiss,2020-12-12 16:36:49.740000,21250.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n113,Turi Create,apple/turicreate,,ml-frameworks,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04.000000,2020-11-18 17:14:31.000000,2020-10-13 23:52:18.000000,1057,465.0,1241.0,10094,1565.0,Turi Create simplifies the development of custom machine learning models.,81.0,29,True,2020-09-30 22:51:40.000000,6.4.1,31.0,turicreate,,,,,253.0,219.0,https://pypi.org/project/turicreate,2020-09-30 22:51:40.000000,34.0,11702.0,11797.0,,,,,,,,2.0,3551.0,,,,,,,,,,,,,,,,,,,,\n114,AllenNLP,allenai/allennlp,,nlp,https://github.com/allenai/allennlp,https://github.com/allenai/allennlp,Apache-2.0,2017-05-15 15:52:41.000000,2021-01-16 01:50:46.000000,2021-01-14 19:02:36.000000,1975,99.0,2129.0,9576,,\"An open-source NLP research library, built on PyTorch.\",231.0,29,True,2020-12-15 22:10:16.000000,1.3.0,154.0,allennlp,,,,['pytorch'],1618.0,1384.0,https://pypi.org/project/allennlp,2020-11-17 18:37:28.000000,234.0,15864.0,15864.0,,,,,,,,2.0,36.0,,,,,,,,,,,,,,,,,,,,\n115,Lime,marcotcr/lime,,interpretability,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10.000000,2021-01-12 16:12:19.000000,2021-01-12 16:12:17.000000,1349,37.0,438.0,8326,508.0,Lime: Explaining the predictions of any machine learning classifier.,57.0,29,True,2020-04-03 22:05:03.000000,0.2.0.0,37.0,lime,conda-forge/lime,,,,1125.0,997.0,https://pypi.org/project/lime,2020-04-03 22:04:32.000000,128.0,165579.0,166847.0,https://anaconda.org/conda-forge/lime,2020-06-28 01:02:41.538000,62168.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n116,Annoy,spotify/annoy,,nn-search,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40.000000,2020-12-25 08:13:07.000000,2020-12-03 18:21:18.000000,862,26.0,265.0,8033,785.0,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,68.0,29,True,2020-09-18 16:07:59.000000,1.17.0,43.0,annoy,,,,,1765.0,1405.0,https://pypi.org/project/annoy,2020-09-18 16:07:59.000000,360.0,218635.0,218635.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n117,fuzzywuzzy,seatgeek/fuzzywuzzy,,nlp,https://github.com/seatgeek/fuzzywuzzy,https://github.com/seatgeek/fuzzywuzzy,GPL-2.0,2011-07-08 19:32:34.000000,2020-12-19 18:34:54.000000,2020-02-13 22:13:43.000000,794,84.0,95.0,7767,379.0,Fuzzy String Matching in Python.,67.0,29,False,2020-02-13 22:14:12.000000,0.18.0,27.0,fuzzywuzzy,conda-forge/fuzzywuzzy,,,,10847.0,7641.0,https://pypi.org/project/fuzzywuzzy,2020-02-13 21:06:25.000000,3206.0,2874979.0,2880083.0,https://anaconda.org/conda-forge/fuzzywuzzy,2020-11-18 12:59:01.409000,275622.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n118,TextBlob,sloria/TextBlob,,nlp,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18.000000,2021-01-11 13:19:48.000000,2021-01-11 13:18:33.000000,947,69.0,150.0,7485,535.0,\"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..\",33.0,29,True,2019-02-24 23:03:17.000000,0.15.3,55.0,textblob,conda-forge/textblob,,,,12326.0,9834.0,https://pypi.org/project/textblob,2019-02-24 23:03:17.000000,2492.0,236594.0,238644.0,https://anaconda.org/conda-forge/textblob,2019-02-24 23:32:55.233000,108600.0,,,,,2.0,88.0,,,,,,,,,,,,,,,,,,,,\n119,MoviePy,Zulko/moviepy,,image,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000000,2021-01-17 14:31:38.000000,2021-01-17 14:31:37.000000,1021,337.0,662.0,7212,984.0,Video editing with Python.,137.0,29,True,2020-05-07 16:29:35.000000,1.0.3,84.0,moviepy,conda-forge/moviepy,,,,6824.0,5694.0,https://pypi.org/project/moviepy,2020-10-05 00:26:29.000000,1130.0,112866.0,114572.0,https://anaconda.org/conda-forge/moviepy,2020-02-23 19:57:49.975000,71655.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n120,glfw,glfw/glfw,,image,https://github.com/glfw/glfw,https://github.com/glfw/glfw,Zlib,2013-04-18 15:24:53.000000,2021-01-12 07:48:35.000000,2020-12-14 11:27:57.000000,2615,423.0,986.0,7132,4200.0,\"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.\",164.0,29,False,2020-10-04 13:37:52.000000,2.0.0,37.0,glfw,conda-forge/glfw,,,,214.0,,https://pypi.org/project/glfw,2020-10-04 13:37:52.000000,214.0,14644.0,46576.0,https://anaconda.org/conda-forge/glfw,2020-03-20 11:09:31.058000,21746.0,,,,,2.0,2169146.0,,,,,,,,,,,,,,,,,,,,\n121,pandas-profiling,pandas-profiling/pandas-profiling,,data-viz,https://github.com/pandas-profiling/pandas-profiling,https://github.com/pandas-profiling/pandas-profiling,MIT,2016-01-09 23:47:55.000000,2021-01-16 08:53:41.000000,2021-01-12 17:19:32.000000,979,57.0,356.0,6580,736.0,Create HTML profiling reports from pandas DataFrame objects.,65.0,29,True,2020-09-03 10:11:24.000000,2.9.0,25.0,pandas-profiling,conda-forge/pandas-profiling,,,\"['jupyter', 'pandas']\",3011.0,2851.0,https://pypi.org/project/pandas-profiling,2020-09-03 10:11:24.000000,160.0,190081.0,191908.0,https://anaconda.org/conda-forge/pandas-profiling,2021-01-09 04:39:21.551000,96851.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n122,Datasets,huggingface/datasets,,data-loading,https://github.com/huggingface/datasets,https://github.com/huggingface/datasets,Apache-2.0,2020-03-26 09:23:22.000000,2021-01-17 14:44:53.000000,2021-01-15 10:08:18.000000,667,191.0,314.0,6513,1238.0,\"The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools.\",202.0,29,True,2021-01-13 15:29:57.000000,1.2.1,13.0,datasets,,,,,281.0,263.0,https://pypi.org/project/datasets,2021-01-04 18:33:23.000000,18.0,22115.0,22115.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n123,tensorpack,tensorpack/tensorpack,,ml-frameworks,https://github.com/tensorpack/tensorpack,https://github.com/tensorpack/tensorpack,Apache-2.0,2015-12-25 23:08:44.000000,2021-01-16 10:13:08.000000,2021-01-16 10:13:00.000000,1727,12.0,1294.0,5893,2927.0,\"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.\",55.0,29,True,2020-04-24 19:01:06.000000,0.10.1,36.0,tensorpack,,,,['tensorflow'],742.0,666.0,https://pypi.org/project/tensorpack,2020-04-24 19:01:06.000000,76.0,92282.0,92284.0,,,,,,,,2.0,97.0,,,,,,,,,,,,,,,,,,,,\n124,Modin,modin-project/modin,,data-containers,https://github.com/modin-project/modin,https://github.com/modin-project/modin,Apache-2.0,2018-06-21 21:35:05.000000,2021-01-16 20:47:37.000000,2021-01-15 15:44:03.000000,383,417.0,1065.0,5618,1230.0,Modin: Speed up your Pandas workflows by changing a single line of code.,66.0,29,True,2021-01-12 14:40:18.000000,0.8.3,36.0,modin,,,,['pandas'],302.0,284.0,https://pypi.org/project/modin,2021-01-12 14:40:18.000000,18.0,73700.0,80203.0,,,,,,,,2.0,195099.0,,,,,,,,,,,,,,,,,,,,\n125,Autograd,HIPS/autograd,,others,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23.000000,2020-12-28 18:04:28.000000,2019-11-18 14:32:40.000000,712,161.0,216.0,5086,1375.0,Efficiently computes derivatives of numpy code.,51.0,29,False,2017-08-24 17:00:41.000000,1.1.13,24.0,autograd,conda-forge/autograd,,,,1747.0,1403.0,https://pypi.org/project/autograd,2019-07-25 16:21:07.000000,344.0,391715.0,394576.0,https://anaconda.org/conda-forge/autograd,2019-07-25 18:29:55.493000,151636.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n126,Pydub,jiaaro/pydub,,audio,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38.000000,2021-01-14 14:36:41.000000,2020-12-14 17:09:24.000000,672,164.0,233.0,5041,722.0,Manipulate audio with a simple and easy high level interface.,79.0,29,True,2020-06-03 15:23:56.000000,0.24.1,66.0,pydub,conda-forge/pydub,,,,6989.0,5635.0,https://pypi.org/project/pydub,2020-06-03 15:23:56.000000,1354.0,113985.0,114473.0,https://anaconda.org/conda-forge/pydub,2019-02-02 16:23:09.348000,12201.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n127,UMAP,lmcinnes/umap,,data-viz,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17.000000,2021-01-11 21:28:26.000000,2021-01-11 21:11:07.000000,477,205.0,214.0,4430,1299.0,Uniform Manifold Approximation and Projection.,69.0,29,True,2021-01-11 21:28:26.000000,0.5.0,34.0,umap-learn,,,,,226.0,,https://pypi.org/project/umap-learn,2021-01-11 21:28:26.000000,226.0,125832.0,125832.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n128,PyOD,yzhao062/pyod,,others,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04.000000,2021-01-17 01:54:30.000000,2021-01-12 18:33:37.000000,838,101.0,82.0,4048,1245.0,A Python Toolbox for Scalable Outlier Detection (Anomaly Detection).,22.0,29,True,2021-01-12 18:42:49.000000,0.8.6,64.0,pyod,,,,,463.0,457.0,https://pypi.org/project/pyod,2021-01-12 18:42:49.000000,6.0,79216.0,79216.0,,,,,,,,1.0,,1.0,,,,,,,,,,,,,,,,,,,\n129,TinyDB,msiemens/tinydb,,data-containers,https://github.com/msiemens/tinydb,https://github.com/msiemens/tinydb,MIT,2013-07-12 23:31:13.000000,2021-01-04 09:54:25.000000,2021-01-04 09:54:20.000000,354,14.0,238.0,3950,603.0,TinyDB is a lightweight document oriented database optimized for your happiness :).,62.0,29,True,2020-11-14 21:02:31.000000,4.3.0,58.0,tinydb,conda-forge/tinydb,,,,1118.0,,https://pypi.org/project/tinydb,2020-11-14 21:02:29.000000,1118.0,131461.0,133265.0,https://anaconda.org/conda-forge/tinydb,2020-11-14 22:52:17.151000,99250.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n130,yfinance,ranaroussi/yfinance,,financial-data,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000000,2021-01-16 16:37:16.000000,2021-01-11 09:52:24.000000,992,299.0,172.0,3909,245.0,Yahoo! Finance market data downloader (+faster Pandas Datareader).,27.0,29,True,2020-10-05 12:19:44.000000,0.1.55,20.0,yfinance,ranaroussi/yfinance,,,,2689.0,2663.0,https://pypi.org/project/yfinance,2020-10-05 12:19:44.000000,26.0,99913.0,101723.0,https://anaconda.org/ranaroussi/yfinance,2019-12-27 21:30:44.606000,30770.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n131,kaggle,Kaggle/kaggle-api,,ml-experiments,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000000,2020-12-03 05:16:08.000000,2020-11-30 21:43:14.000000,770,165.0,106.0,3778,137.0,Official Kaggle API.,35.0,29,True,2020-11-30 13:37:18.000000,1.5.10,47.0,kaggle,conda-forge/kaggle,,,,4843.0,4279.0,https://pypi.org/project/kaggle,2020-11-30 13:37:18.000000,564.0,240361.0,242350.0,https://anaconda.org/conda-forge/kaggle,2020-11-30 16:56:31.822000,39793.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n132,Tesseract,madmaze/pytesseract,,ocr,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000000,2021-01-04 17:26:55.000000,2021-01-04 17:26:51.000000,504,7.0,238.0,3369,357.0,Python-tesseract is an optical character recognition (OCR) tool for python.,36.0,29,True,2020-12-15 05:24:52.000000,0.3.7,24.0,pytesseract,conda-forge/pytesseract,,,,1428.0,,https://pypi.org/project/pytesseract,2020-12-15 05:24:52.000000,1428.0,428529.0,430638.0,https://anaconda.org/conda-forge/pytesseract,2020-11-20 10:05:14.874000,37970.0,,,,,1.0,,-1.0,,,,,,,,,,,,,,,,,,,\n133,sacred,IDSIA/sacred,,ml-experiments,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29.000000,2021-01-15 19:26:16.000000,2021-01-12 12:37:55.000000,314,92.0,395.0,3265,1300.0,\"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.\",91.0,29,True,2020-12-14 15:21:05.000000,0.8.2,27.0,sacred,,,,,927.0,773.0,https://pypi.org/project/sacred,2020-12-14 15:21:05.000000,154.0,10044.0,10044.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n134,Koalas,databricks/koalas,,data-containers,https://github.com/databricks/koalas,https://github.com/databricks/koalas,Apache-2.0,2019-01-03 21:46:54.000000,2021-01-17 11:27:52.000000,2021-01-17 11:27:51.000000,292,84.0,421.0,2581,1439.0,Koalas: pandas API on Apache Spark.,47.0,29,True,2020-12-11 21:10:40.000000,1.5.0,42.0,koalas,conda-forge/koalas,,,\"['spark', 'pandas']\",71.0,70.0,https://pypi.org/project/koalas,2020-12-11 21:10:40.000000,1.0,820422.0,824192.0,https://anaconda.org/conda-forge/koalas,2020-12-11 23:19:38.184000,74513.0,,,,,2.0,996.0,,,,,,,,,,,,,,,,,,,,\n135,PyQtGraph,pyqtgraph/pyqtgraph,,data-viz,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21.000000,2021-01-16 06:41:03.000000,2021-01-13 21:16:31.000000,806,286.0,438.0,2265,2319.0,Fast data visualization and GUI tools for scientific / engineering applications.,179.0,29,True,2020-12-20 02:41:29.000000,pyqtgraph-0.11.1,12.0,pyqtgraph,conda-forge/pyqtgraph,,,,890.0,,https://pypi.org/project/pyqtgraph,2020-12-20 02:43:22.000000,890.0,25232.0,28526.0,https://anaconda.org/conda-forge/pyqtgraph,2020-12-20 05:06:42.442000,158124.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n136,hmmlearn,hmmlearn/hmmlearn,,probabilistics,https://github.com/hmmlearn/hmmlearn,https://github.com/hmmlearn/hmmlearn,BSD-3-Clause,2014-03-23 10:33:09.000000,2020-12-28 11:37:25.000000,2020-12-28 11:37:23.000000,603,64.0,276.0,2160,345.0,\"Hidden Markov Models in Python, with scikit-learn like API.\",31.0,29,True,2020-09-12 15:19:20.000000,0.2.4,6.0,hmmlearn,conda-forge/hmmlearn,,,['sklearn'],1057.0,851.0,https://pypi.org/project/hmmlearn,2020-09-12 15:19:20.000000,206.0,123635.0,125870.0,https://anaconda.org/conda-forge/hmmlearn,2020-11-01 16:03:30.138000,58125.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n137,ipyparallel,ipython/ipyparallel,,distributed-ml,https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,BSD-3-Clause,2015-04-09 07:43:55.000000,2020-12-28 21:43:25.000000,2020-08-24 09:09:27.000000,726,139.0,107.0,1855,1817.0,Interactive Parallel Computing in Python.,94.0,29,True,2020-05-05 18:42:38.000000,6.3.0,21.0,ipyparallel,conda-forge/ipyparallel,,,['jupyter'],1867.0,1377.0,https://pypi.org/project/ipyparallel,2020-05-05 18:42:38.000000,490.0,68301.0,74695.0,https://anaconda.org/conda-forge/ipyparallel,2020-12-14 23:13:00.768000,364466.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n138,pandas-datareader,pydata/pandas-datareader,,data-loading,https://github.com/pydata/pandas-datareader,https://github.com/pydata/pandas-datareader,BSD-3-Clause,2015-01-15 00:34:19.000000,2021-01-13 09:00:22.000000,2020-12-31 11:58:23.000000,489,70.0,370.0,1794,764.0,Extract data from a wide range of Internet sources into a pandas DataFrame.,77.0,29,True,2020-07-10 10:04:14.000000,0.9.0,21.0,pandas-datareader,conda-forge/pandas-datareader,,,['pandas'],8868.0,7462.0,https://pypi.org/project/pandas-datareader,2020-07-10 10:04:14.000000,1406.0,118627.0,120540.0,https://anaconda.org/conda-forge/pandas-datareader,2019-11-20 10:38:42.074000,86129.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n139,HoloViews,holoviz/holoviews,,data-viz,https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000000,2021-01-16 18:41:51.000000,2021-01-14 15:55:59.000000,299,674.0,1814.0,1783,10114.0,\"With Holoviews, your data visualizes itself.\",101.0,29,True,2020-12-27 23:53:28.000000,1.14.1,60.0,holoviews,conda-forge/holoviews,,,['jupyter'],170.0,,https://pypi.org/project/holoviews,2020-12-27 23:53:28.000000,170.0,74051.0,87444.0,https://anaconda.org/conda-forge/holoviews,2020-12-28 13:23:01.410000,401307.0,,,,,2.0,,,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,2020-05-24 13:49:54.205000,,6227.0,,,,,,,,,,,,,\n140,Lifelines,CamDavidsonPilon/lifelines,,medical-data,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42.000000,2021-01-05 18:34:14.000000,2021-01-05 18:34:13.000000,411,188.0,588.0,1531,2073.0,Survival analysis in Python.,90.0,29,True,2020-12-09 21:14:01.000000,0.25.7,152.0,lifelines,conda-forge/lifelines,,,,607.0,481.0,https://pypi.org/project/lifelines,2020-12-09 21:14:01.000000,126.0,97409.0,99630.0,https://anaconda.org/conda-forge/lifelines,2020-12-10 02:47:14.864000,122179.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n141,Geocoder,DenisCarriere/geocoder,,geospatial-data,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21.000000,2020-12-30 04:09:42.000000,2018-10-12 15:53:05.000000,252,64.0,215.0,1320,1251.0,Python Geocoder.,74.0,29,False,2018-04-04 12:34:51.000000,1.38.1,108.0,geocoder,conda-forge/geocoder,,,,3527.0,2951.0,https://pypi.org/project/geocoder,2018-04-04 12:34:51.000000,576.0,228300.0,230134.0,https://anaconda.org/conda-forge/geocoder,2019-06-27 16:40:50.469000,86239.0,,,,,2.0,,,,,,,,,,,,,geocoder,,,,,,,,\n142,SageMaker SDK,aws/sagemaker-python-sdk,,ml-experiments,https://github.com/aws/sagemaker-python-sdk,https://github.com/aws/sagemaker-python-sdk,Apache-2.0,2017-11-14 01:03:33.000000,2021-01-16 22:07:28.000000,2021-01-15 18:45:43.000000,558,207.0,518.0,1291,1804.0,A library for training and deploying machine learning models on Amazon SageMaker.,164.0,29,True,2021-01-14 17:56:43.000000,2.23.4.post0,301.0,sagemaker,,,,\"['mxnet', 'tensorflow']\",586.0,558.0,https://pypi.org/project/sagemaker,2021-01-14 17:58:28.000000,28.0,408652.0,408652.0,,,,,,,,2.0,,-1.0,,,,,,,,,,,,,,,,,,,\n143,torchaudio,pytorch/audio,,audio,https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000000,2021-01-17 12:31:18.000000,2021-01-15 23:32:02.000000,263,152.0,244.0,1198,659.0,\"Data manipulation and transformation for audio signal processing, powered by PyTorch.\",85.0,29,True,2020-12-10 17:02:20.000000,0.7.2,11.0,torchaudio,,,,['pytorch'],1179.0,1170.0,https://pypi.org/project/torchaudio,2020-10-27 16:14:57.000000,9.0,67887.0,67887.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n144,Keras-Preprocessing,keras-team/keras-preprocessing,,others,https://github.com/keras-team/keras-preprocessing,https://github.com/keras-team/keras-preprocessing,MIT,2018-05-30 22:43:36.000000,2021-01-16 13:11:52.000000,2020-12-11 00:22:47.000000,392,93.0,99.0,902,281.0,\"Utilities for working with image data, text data, and sequence data.\",48.0,29,True,2020-05-14 03:53:47.000000,1.1.2,12.0,keras-preprocessing,conda-forge/keras-preprocessing,,,['tensorflow'],2736.0,,https://pypi.org/project/keras-preprocessing,2020-05-14 03:53:47.000000,2736.0,3456797.0,3481520.0,https://anaconda.org/conda-forge/keras-preprocessing,2021-01-15 12:28:58.923000,766427.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n145,Graphviz,xflr6/graphviz,,data-viz,https://github.com/xflr6/graphviz,https://github.com/xflr6/graphviz,MIT,2014-01-12 17:49:29.000000,2021-01-05 23:44:43.000000,2021-01-05 23:22:54.000000,138,5.0,96.0,899,449.0,Simple Python interface for Graphviz.,15.0,29,True,2020-10-07 09:06:41.000000,0.14.2,47.0,graphviz,,,,,21205.0,16823.0,https://pypi.org/project/graphviz,2020-12-24 16:17:24.000000,4382.0,2350732.0,2350732.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n146,TensorFlow Transform,tensorflow/transform,,tensorflow-utils,https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53.000000,2021-01-15 18:44:21.000000,2021-01-15 18:44:16.000000,163,32.0,114.0,849,563.0,Input pipeline framework.,27.0,29,True,2020-12-16 21:35:23.000000,0.26.0,33.0,tensorflow-transform,,,,['tensorflow'],477.0,393.0,https://pypi.org/project/tensorflow-transform,2020-12-16 21:35:23.000000,84.0,7396525.0,7396525.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n147,snakemake,snakemake/snakemake,,ml-experiments,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867000,2021-01-17 09:30:26.000000,2021-01-15 13:37:17.000000,182,312.0,205.0,809,3948.0,\"This is the development home of the workflow management system Snakemake. For general information, see.\",194.0,29,True,2021-01-15 13:36:23.000000,5.32.0,159.0,snakemake,bioconda/snakemake,,,,1012.0,724.0,https://pypi.org/project/snakemake,2021-01-15 13:37:08.000000,288.0,8067.0,12322.0,https://anaconda.org/bioconda/snakemake,2020-12-22 11:10:44.475000,268103.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n148,pyproj,pyproj4/pyproj,,geospatial-data,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000000,2021-01-08 01:17:08.000000,2021-01-08 01:15:13.000000,146,6.0,374.0,564,1099.0,Python interface to PROJ (cartographic projections and coordinate transformations library).,39.0,29,True,2020-11-05 13:39:29.000000,3.0.0.post1,34.0,pyproj,conda-forge/pyproj,,,,10621.0,8159.0,https://pypi.org/project/pyproj,2020-11-05 14:28:45.000000,2462.0,1056713.0,1087316.0,https://anaconda.org/conda-forge/pyproj,2020-11-06 22:55:31.654000,1866817.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n149,NIPYPE,nipy/nipype,,medical-data,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000000,2021-01-11 05:49:22.000000,2020-12-08 17:16:40.000000,439,312.0,873.0,543,14049.0,Workflows and interfaces for neuroimaging packages.,212.0,29,True,2020-09-17 18:44:32.000000,1.5.1,54.0,nipype,conda-forge/nipype,,,,683.0,491.0,https://pypi.org/project/nipype,2020-08-16 18:30:16.000000,192.0,10431.0,16861.0,https://anaconda.org/conda-forge/nipype,2020-11-28 17:44:51.813000,347242.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n150,snowballstemmer,snowballstem/snowball,,nlp,https://github.com/snowballstem/snowball,https://github.com/snowballstem/snowball,BSD-3-Clause,2013-02-23 07:17:42.000000,2021-01-13 17:54:14.000000,2020-11-23 06:15:03.000000,127,19.0,42.0,467,802.0,Snowball compiler and stemming algorithms.,24.0,29,True,2019-10-03 08:03:11.000000,2.0.0,8.0,snowballstemmer,conda-forge/snowballstemmer,,,,55666.0,42484.0,https://pypi.org/project/snowballstemmer,2019-10-03 08:03:11.000000,13182.0,2138473.0,2175298.0,https://anaconda.org/conda-forge/snowballstemmer,2019-10-03 09:44:39.068000,1951755.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n151,NiBabel,nipy/nibabel,,medical-data,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30.000000,2021-01-13 17:20:19.000000,2021-01-13 17:20:18.000000,209,109.0,285.0,381,4938.0,Python package to access a cacophony of neuro-imaging file formats.,89.0,29,True,2020-11-28 22:19:50.000000,3.2.1,32.0,nibabel,conda-forge/nibabel,,,,4754.0,3490.0,https://pypi.org/project/nibabel,2020-11-28 22:18:23.000000,1264.0,43817.0,49011.0,https://anaconda.org/conda-forge/nibabel,2020-11-29 03:40:05.178000,290887.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n152,baselines,openai/baselines,,reinforcement-learning,https://github.com/openai/baselines,https://github.com/openai/baselines,MIT,2017-05-24 01:58:13.000000,2021-01-02 22:20:03.000000,2020-01-31 13:06:18.000000,3836,452.0,422.0,11029,347.0,OpenAI Baselines: high-quality implementations of reinforcement learning algorithms.,114.0,28,True,2018-02-26 17:07:07.000000,0.1.5,6.0,baselines,,,,,312.0,275.0,https://pypi.org/project/baselines,2018-02-26 17:07:07.000000,37.0,27820.0,27820.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n153,PyTorch Geometric,rusty1s/pytorch_geometric,,graph,https://github.com/rusty1s/pytorch_geometric,https://github.com/rusty1s/pytorch_geometric,MIT,2017-10-06 16:03:03.000000,2021-01-15 12:15:12.000000,2021-01-15 12:15:06.000000,1677,662.0,1083.0,9972,4072.0,Geometric Deep Learning Extension Library for PyTorch.,137.0,28,True,2020-12-02 14:57:09.000000,1.6.3,25.0,torch-geometric,,,,['pytorch'],24.0,,https://pypi.org/project/torch-geometric,2020-11-27 07:18:41.000000,24.0,11531.0,11531.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n154,Sonnet,deepmind/sonnet,,ml-frameworks,https://github.com/deepmind/sonnet,https://github.com/deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35.000000,2020-11-30 02:35:15.000000,2020-10-08 10:01:11.000000,1242,15.0,135.0,8707,545.0,TensorFlow-based neural network library.,48.0,28,True,2020-03-27 10:36:19.000000,2.0.0,27.0,dm-sonnet,conda-forge/sonnet,,,['tensorflow'],562.0,480.0,https://pypi.org/project/dm-sonnet,2020-03-27 10:36:10.000000,82.0,52699.0,53192.0,https://anaconda.org/conda-forge/sonnet,2020-11-14 18:13:23.843000,6913.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n155,Albumentations,albumentations-team/albumentations,,image,https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000000,2021-01-15 07:22:55.000000,2021-01-15 07:22:53.000000,903,170.0,232.0,7076,615.0,Fast image augmentation library and easy to use wrapper around other libraries. Documentation:..,72.0,28,True,2020-11-29 14:30:07.000000,0.5.2,44.0,albumentations,conda-forge/albumentations,,,['pytorch'],2645.0,2517.0,https://pypi.org/project/albumentations,2020-11-29 14:30:07.000000,128.0,57727.0,58464.0,https://anaconda.org/conda-forge/albumentations,2020-11-29 15:51:47.610000,14007.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n156,featuretools,alteryx/featuretools,,hyperopt,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17.000000,2021-01-15 22:53:10.000000,2021-01-13 21:04:34.000000,686,111.0,390.0,5331,569.0,An open source python library for automated feature engineering.,49.0,28,True,2020-12-31 21:26:39.000000,0.23.0,63.0,featuretools,conda-forge/featuretools,,,,724.0,654.0,https://pypi.org/project/featuretools,2020-12-31 21:27:46.000000,70.0,58841.0,60572.0,https://anaconda.org/conda-forge/featuretools,2021-01-05 23:32:34.667000,43277.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n157,GluonCV,dmlc/gluon-cv,,image,https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21.000000,2021-01-15 09:01:55.000000,2021-01-15 01:17:48.000000,1031,361.0,374.0,4478,826.0,Gluon CV Toolkit.,109.0,28,True,2021-01-05 00:33:13.000000,0.9.1,967.0,gluoncv,,,,['mxnet'],431.0,401.0,https://pypi.org/project/gluoncv,2021-01-15 09:01:55.000000,30.0,66203.0,66203.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n158,Tokenizers,huggingface/tokenizers,,nlp,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000000,2021-01-12 21:50:02.000000,2021-01-12 21:47:56.000000,307,80.0,292.0,4162,1427.0,Fast State-of-the-Art Tokenizers optimized for Research and Production.,40.0,28,True,2021-01-12 21:50:02.000000,0.10.0,58.0,tokenizers,conda-forge/tokenizers,,,,24.0,24.0,https://pypi.org/project/tokenizers,2021-01-12 21:50:02.000000,0.0,843254.0,846229.0,https://anaconda.org/conda-forge/tokenizers,2020-11-19 06:02:47.112000,17854.0,,,,,2.0,,1.0,,,,,,,,,,,,,,,,,,,\n159,DEAP,deap/deap,,distributed-ml,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39.000000,2021-01-16 16:22:38.000000,2020-12-25 17:33:18.000000,835,166.0,220.0,4038,2147.0,Distributed Evolutionary Algorithms in Python.,67.0,28,False,2020-01-21 01:18:06.000000,1.3.1,16.0,deap,conda-forge/deap,,,,2022.0,1540.0,https://pypi.org/project/deap,2020-01-21 01:18:06.000000,482.0,105538.0,107503.0,https://anaconda.org/conda-forge/deap,2021-01-13 14:43:13.393000,108111.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n160,sentence-transformers,UKPLab/sentence-transformers,,nlp,https://github.com/UKPLab/sentence-transformers,https://github.com/UKPLab/sentence-transformers,Apache-2.0,2019-07-24 10:53:51.000000,2021-01-15 19:41:11.000000,2021-01-15 19:41:03.000000,739,293.0,343.0,3920,583.0,Multilingual Sentence Embeddings using BERT / RoBERTa / XLM-RoBERTa & Co. with PyTorch.,38.0,28,True,2021-01-04 14:04:01.000000,0.4.1,29.0,sentence-transformers,,,,\"['bert', 'xlnet', 'pytorch']\",556.0,556.0,https://pypi.org/project/sentence-transformers,2021-01-04 15:49:09.000000,0.0,76256.0,76256.0,,,,,,,,2.0,,,,,,,,,,,,,,True,,,,,,,\n161,Kornia,kornia/kornia,,image,https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000000,2021-01-17 11:09:40.000000,2021-01-17 11:09:39.000000,345,103.0,242.0,3510,1485.0,Open Source Differentiable Computer Vision Library for PyTorch.,82.0,28,True,2020-10-20 19:31:49.000000,0.4.1,12.0,kornia,,,,['pytorch'],232.0,232.0,https://pypi.org/project/kornia,2020-10-20 19:31:49.000000,0.0,13778.0,13778.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n162,imutils,jrosebr1/imutils,,image,https://github.com/jrosebr1/imutils,https://github.com/jrosebr1/imutils,MIT,2015-01-11 20:05:39.000000,2021-01-15 17:56:11.000000,2021-01-15 10:46:45.000000,870,128.0,75.0,3474,138.0,\"A series of convenience functions to make basic image processing operations such as translation, rotation, resizing,..\",20.0,28,True,2021-01-15 10:53:17.000000,0.5.4,29.0,imutils,conda-forge/imutils,,,,12743.0,11547.0,https://pypi.org/project/imutils,2021-01-15 10:53:17.000000,1196.0,154281.0,156090.0,https://anaconda.org/conda-forge/imutils,2021-01-15 14:27:25.471000,34378.0,,,,,2.0,,1.0,,,,,,,,,,,,,,,,,,,\n163,Kedro,quantumblacklabs/kedro,,data-pipelines,https://github.com/quantumblacklabs/kedro,https://github.com/quantumblacklabs/kedro,Apache-2.0,2019-04-18 10:29:56.000000,2021-01-16 23:37:31.000000,2021-01-14 15:25:20.000000,385,87.0,341.0,3299,1120.0,\"A Python framework for creating reproducible, maintainable and modular data science code.\",93.0,28,True,2020-12-17 13:31:56.000000,0.17.0,24.0,kedro,,,,,376.0,360.0,https://pypi.org/project/kedro,2020-12-17 13:31:56.000000,16.0,48489.0,48489.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n164,Blaze,blaze/blaze,,data-containers,https://github.com/blaze/blaze,https://github.com/blaze/blaze,BSD-3-Clause,2012-10-26 14:25:22.000000,2020-02-01 19:33:09.000000,2019-08-15 21:14:59.000000,373,262.0,500.0,2919,7496.0,NumPy and Pandas interface to Big Data.,64.0,28,False,2016-07-19 20:40:03.000000,0.11.0,14.0,blaze,conda-forge/blaze,,,,7890.0,7402.0,https://pypi.org/project/blaze,2016-05-06 21:19:21.000000,488.0,9916.0,14492.0,https://anaconda.org/conda-forge/blaze,2018-07-15 22:16:17.685000,187654.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n165,Dedupe,dedupeio/dedupe,,nlp,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36.000000,2021-01-15 22:45:06.000000,2021-01-15 22:44:19.000000,402,53.0,570.0,2869,2793.0,\"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.\",55.0,28,True,2020-09-02 00:17:19.000000,2.0.6,157.0,dedupe,,,,,253.0,175.0,https://pypi.org/project/dedupe,2020-09-06 01:50:45.000000,78.0,46687.0,46687.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n166,PyCaret,pycaret/pycaret,,ml-experiments,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000000,2021-01-17 13:07:18.000000,2021-01-17 13:01:39.000000,596,162.0,539.0,2845,1589.0,\"An open-source, low-code machine learning library in Python.\",43.0,28,True,2020-12-22 22:10:30.000000,2.2.3,68.0,pycaret,,,,,595.0,595.0,https://pypi.org/project/pycaret,2020-12-22 22:10:30.000000,0.0,23124.0,23183.0,,,,,,,,2.0,354.0,,,,,,,,,,,,,,,,,,,,\n167,phonenumbers,daviddrysdale/python-phonenumbers,,nlp,https://github.com/daviddrysdale/python-phonenumbers,https://github.com/daviddrysdale/python-phonenumbers,Apache-2.0,2011-04-21 03:06:38.000000,2021-01-12 14:52:18.000000,2021-01-12 14:46:13.000000,326,3.0,111.0,2603,,Python port of Google's libphonenumber.,22.0,28,True,2021-01-12 14:52:18.000000,8.12.16,167.0,phonenumbers,conda-forge/phonenumbers,,,,2280.0,,https://pypi.org/project/phonenumbers,2021-01-12 14:52:18.000000,2280.0,666985.0,673695.0,https://anaconda.org/conda-forge/phonenumbers,2019-08-04 21:19:59.322000,369092.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n168,VisPy,vispy/vispy,,data-viz,https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22.000000,2021-01-16 14:37:19.000000,2021-01-14 05:57:27.000000,535,354.0,781.0,2559,6395.0,High-performance interactive 2D/3D data visualization library.,144.0,28,True,2020-12-14 15:55:00.000000,0.6.6,16.0,vispy,conda-forge/vispy,,,['jupyter'],565.0,443.0,https://pypi.org/project/vispy,2020-11-28 02:55:50.000000,122.0,12756.0,15912.0,https://anaconda.org/conda-forge/vispy,2021-01-13 03:28:46.609000,118173.0,,,,,2.0,,,,vispy,https://www.npmjs.com/package/vispy,2020-03-15 14:39:41.516000,,126.0,,,,,,,,,,,,,\n169,plotnine,has2k1/plotnine,,data-viz,https://github.com/has2k1/plotnine,https://github.com/has2k1/plotnine,GPL-2.0,2017-04-24 19:00:44.000000,2021-01-06 14:26:24.000000,2021-01-06 10:16:20.000000,128,53.0,347.0,2494,1673.0,A grammar of graphics for Python.,81.0,28,False,2020-08-05 20:10:30.000000,0.7.1,10.0,plotnine,conda-forge/plotnine,,,,1577.0,1450.0,https://pypi.org/project/plotnine,2020-08-05 18:55:16.000000,127.0,90304.0,92281.0,https://anaconda.org/conda-forge/plotnine,2020-08-06 19:52:38.810000,87025.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n170,datashader,holoviz/datashader,,data-viz,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000000,2021-01-17 11:12:40.000000,2021-01-07 14:34:16.000000,311,144.0,316.0,2397,1281.0,Quickly and accurately render even the largest data.,43.0,28,True,2021-01-07 16:14:43.000000,0.12.0,22.0,datashader,conda-forge/datashader,,,,626.0,556.0,https://pypi.org/project/datashader,2021-01-07 16:14:43.000000,70.0,9998.0,13472.0,https://anaconda.org/conda-forge/datashader,2021-01-08 10:17:48.622000,132028.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n171,dbt,fishtown-analytics/dbt,,data-pipelines,https://github.com/fishtown-analytics/dbt,https://github.com/fishtown-analytics/dbt,Apache-2.0,2016-03-10 02:38:00.000000,2021-01-14 17:54:01.000000,2021-01-14 17:41:49.000000,473,261.0,1432.0,2362,2481.0,dbt (data build tool) enables data analysts and engineers to transform their data using the same practices that..,129.0,28,True,2020-10-13 21:51:53.000000,0.18.1,141.0,dbt,conda-forge/dbt,,,,187.0,169.0,https://pypi.org/project/dbt,2021-01-14 17:42:29.000000,18.0,94221.0,97182.0,https://anaconda.org/conda-forge/dbt,2020-05-14 13:55:32.153000,148079.0,,,,,2.0,,,,,,,,,,dbt,,,,,,,,,,,\n172,sklearn-pandas,scikit-learn-contrib/sklearn-pandas,,data-containers,https://github.com/scikit-learn-contrib/sklearn-pandas,https://github.com/scikit-learn-contrib/sklearn-pandas,Zlib,2013-04-22 22:55:20.000000,2021-01-06 16:30:51.000000,2021-01-06 16:28:10.000000,387,30.0,117.0,2311,269.0,Pandas integration with sklearn.,35.0,28,False,2021-01-06 16:30:51.000000,2.0.4,24.0,sklearn-pandas,,,,\"['sklearn', 'pandas']\",1861.0,1639.0,https://pypi.org/project/sklearn-pandas,2020-11-07 02:30:27.000000,222.0,109419.0,109419.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n173,eli5,TeamHG-Memex/eli5,,interpretability,https://github.com/TeamHG-Memex/eli5,https://github.com/TeamHG-Memex/eli5,MIT,2016-09-15 01:04:57.000000,2021-01-12 14:47:25.000000,2020-01-22 07:39:36.000000,284,126.0,110.0,2269,1198.0,A library for debugging/inspecting machine learning classifiers and explaining their predictions.,14.0,28,True,2019-08-29 06:19:32.000000,0.10.1,27.0,eli5,conda-forge/eli5,,,,933.0,837.0,https://pypi.org/project/eli5,2019-08-29 06:19:32.000000,96.0,237981.0,239925.0,https://anaconda.org/conda-forge/eli5,2020-06-15 13:11:13.408000,85559.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n174,NMSLIB,nmslib/nmslib,,nn-search,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06.000000,2021-01-10 13:21:54.000000,2021-01-08 16:53:47.000000,334,46.0,310.0,2254,1482.0,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,44.0,28,True,2021-01-08 12:37:37.000000,2.0.16,29.0,nmslib,conda-forge/nmslib,,,,360.0,308.0,https://pypi.org/project/nmslib,2021-01-08 12:37:37.000000,52.0,52911.0,54025.0,https://anaconda.org/conda-forge/nmslib,2021-01-08 16:19:07.762000,10028.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n175,GPyTorch,cornellius-gp/gpytorch,,probabilistics,https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000000,2021-01-16 23:23:54.000000,2021-01-14 19:32:43.000000,308,198.0,624.0,2249,3212.0,A highly efficient and modular implementation of Gaussian Processes in PyTorch.,63.0,28,True,2020-11-30 21:36:11.000000,1.3.0,24.0,gpytorch,,,,['pytorch'],196.0,188.0,https://pypi.org/project/gpytorch,2020-11-30 21:38:19.000000,8.0,30777.0,30777.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n176,implicit,benfred/implicit,,recommender-systems,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000000,2020-11-24 06:44:37.378000,2020-11-15 19:47:23.000000,452,77.0,255.0,2223,300.0,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,28.0,28,True,2020-09-15 22:01:38.000000,0.4.4,34.0,implicit,conda-forge/implicit,,,,369.0,347.0,https://pypi.org/project/implicit,2020-09-15 22:01:38.000000,22.0,93334.0,98315.0,https://anaconda.org/conda-forge/implicit,2020-11-24 06:44:37.378000,179336.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n177,Keras Tuner,keras-team/keras-tuner,,hyperopt,https://github.com/keras-team/keras-tuner,https://github.com/keras-team/keras-tuner,Apache-2.0,2019-06-06 22:38:21.000000,2020-12-23 19:28:06.000000,2020-12-09 20:19:05.000000,258,145.0,134.0,2208,787.0,Hyperparameter tuning for humans.,28.0,28,True,2020-11-20 19:13:23.000000,1.0.2,5.0,keras-tuner,,,,['tensorflow'],363.0,361.0,https://pypi.org/project/keras-tuner,2020-11-20 19:00:59.000000,2.0,195322.0,195322.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n178,AzureML SDK,Azure/MachineLearningNotebooks,,ml-experiments,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000000,2021-01-11 19:52:49.000000,2021-01-11 19:52:48.000000,1545,70.0,847.0,2079,1083.0,Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft.,52.0,28,True,2020-12-07 18:38:50.000000,1.20.0,66.0,azureml-sdk,,,,,60.0,,https://pypi.org/project/azureml-sdk,2021-01-11 18:12:53.000000,60.0,270953.0,270967.0,,,,,,,,2.0,388.0,,,,,,,,,,,,,,,,,,,,\n179,ImageHash,JohannesBuchner/imagehash,,image,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48.000000,2021-01-03 14:55:33.000000,2021-01-03 14:55:15.000000,246,17.0,70.0,1808,184.0,A Python Perceptual Image Hashing Module.,17.0,28,True,2020-11-19 14:54:24.000000,4.2.0,17.0,ImageHash,conda-forge/imagehash,,,,2396.0,1864.0,https://pypi.org/project/ImageHash,2020-11-19 14:54:24.000000,532.0,327799.0,329745.0,https://anaconda.org/conda-forge/imagehash,2020-11-19 18:20:49.964000,97334.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n180,pyLDAvis,bmabey/pyLDAvis,,interpretability,https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03.000000,2021-01-15 12:17:17.000000,2020-12-02 18:10:12.000000,288,91.0,56.0,1382,218.0,Python library for interactive topic model visualization. Port of the R LDAvis package.,31.0,28,True,2018-06-05 18:55:56.000000,2.1.2,17.0,pyldavis,conda-forge/pyldavis,,,['jupyter'],1793.0,1694.0,https://pypi.org/project/pyldavis,2018-06-05 18:55:56.000000,99.0,59557.0,60228.0,https://anaconda.org/conda-forge/pyldavis,2018-06-22 21:16:15.741000,20813.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n181,PyTables,PyTables/PyTables,,data-containers,https://github.com/PyTables/PyTables,https://github.com/PyTables/PyTables,BSD-3-Clause,2011-06-03 19:44:46.000000,2021-01-14 21:24:14.000000,2021-01-10 15:27:11.000000,180,153.0,440.0,1001,3909.0,A Python package to manage extremely large amounts of data.,96.0,28,True,2019-10-30 19:33:37.000000,3.6.1,25.0,tables,conda-forge/pytables,,,,3754.0,,https://pypi.org/project/tables,2019-10-30 19:33:37.000000,3754.0,349299.0,389643.0,https://anaconda.org/conda-forge/pytables,2021-01-14 18:41:06.536000,2138165.0,,,,,2.0,125.0,,,,,,,,,,,,,,,,,,,,\n182,arviz,arviz-devs/arviz,,interpretability,https://github.com/arviz-devs/arviz,https://github.com/arviz-devs/arviz,Apache-2.0,2015-07-29 11:51:10.000000,2021-01-16 16:40:56.000000,2021-01-16 16:08:16.000000,169,110.0,412.0,932,1103.0,Exploratory analysis of Bayesian models with Python.,62.0,28,True,2020-09-23 23:29:43.000000,0.10.0,20.0,arviz,conda-forge/arviz,,,,687.0,669.0,https://pypi.org/project/arviz,2020-09-23 23:29:43.000000,18.0,108096.0,116477.0,https://anaconda.org/conda-forge/arviz,2020-09-24 01:04:48.763000,167572.0,,,,,1.0,98.0,1.0,,,,,,,,,,,,,,,,,,,\n183,Bottleneck,pydata/bottleneck,,data-containers,https://github.com/pydata/bottleneck,https://github.com/pydata/bottleneck,BSD-2-Clause,2010-11-27 23:21:22.000000,2021-01-13 21:12:19.308000,2020-11-25 00:09:25.000000,62,23.0,177.0,567,1226.0,Fast NumPy array functions written in C.,20.0,28,True,2020-02-21 06:22:16.000000,1.3.2,21.0,Bottleneck,conda-forge/bottleneck,,,,21064.0,18172.0,https://pypi.org/project/Bottleneck,2020-02-21 06:22:16.000000,2892.0,196533.0,221054.0,https://anaconda.org/conda-forge/bottleneck,2021-01-13 21:12:19.308000,1373192.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n184,inflect,jaraco/inflect,,nlp,https://github.com/jaraco/inflect,https://github.com/jaraco/inflect,MIT,2010-06-20 13:43:13.000000,2021-01-08 13:09:35.481000,2020-11-15 19:27:28.000000,57,13.0,58.0,471,590.0,\"Correctly generate plurals, ordinals, indefinite articles; convert numbers to words.\",25.0,28,True,2020-11-15 17:41:03.000000,5.0.2,30.0,inflect,conda-forge/inflect,,,,1388.0,,https://pypi.org/project/inflect,2020-11-15 17:40:58.000000,1388.0,859288.0,862044.0,https://anaconda.org/conda-forge/inflect,2021-01-08 13:09:35.481000,124025.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n185,DIPY,dipy/dipy,,medical-data,https://github.com/dipy/dipy,https://github.com/dipy/dipy,BSD-3-Clause,2010-02-06 11:43:08.000000,2020-12-17 18:09:13.000000,2020-12-10 16:48:07.000000,313,156.0,572.0,380,11365.0,\"DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal..\",118.0,28,True,2020-11-05 17:35:53.000000,1.3.0,21.0,dipy,conda-forge/dipy,,,,416.0,322.0,https://pypi.org/project/dipy,2020-11-05 17:35:53.000000,94.0,6201.0,9294.0,https://anaconda.org/conda-forge/dipy,2020-11-14 18:28:50.683000,173245.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n186,Cython BLIS,explosion/cython-blis,,others,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16.000000,2020-12-07 11:23:01.451000,2020-12-07 07:21:11.000000,22,6.0,15.0,157,524.0,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,9.0,28,True,2020-12-07 08:56:44.000000,0.7.4,35.0,blis,conda-forge/cython-blis,,,,8212.0,7822.0,https://pypi.org/project/blis,2020-12-07 08:56:44.000000,390.0,753594.0,771167.0,https://anaconda.org/conda-forge/cython-blis,2020-12-07 11:23:01.451000,386626.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n187,CNTK,microsoft/CNTK,,ml-frameworks,https://github.com/microsoft/CNTK,https://github.com/microsoft/CNTK,MIT,2015-11-26 09:52:06.000000,2020-12-09 22:21:57.000000,2020-03-31 15:55:14.000000,4408,830.0,2515.0,16958,16116.0,\"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.\",265.0,27,True,2019-04-26 14:13:32.000000,2.7,32.0,cntk,,,,,17.0,,https://pypi.org/project/cntk,2020-12-09 22:21:57.000000,17.0,1117.0,1343.0,,,,,,,,3.0,13586.0,,,,,,,,,,,,,,,,,,,,\n188,EasyOCR,JaidedAI/EasyOCR,,ocr,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000000,2021-01-14 04:20:11.000000,2021-01-14 04:20:10.000000,967,82.0,160.0,9987,368.0,\"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..\",73.0,27,True,2021-01-05 13:59:10.000000,1.2.2,15.0,easyocr,,,,,102.0,102.0,https://pypi.org/project/easyocr,2021-01-05 13:59:10.000000,0.0,9946.0,24042.0,,,,,,,,2.0,98672.0,,,,,,,,,,,,,,,,,,,,\n189,NNI,microsoft/nni,,hyperopt,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44.000000,2021-01-17 14:16:33.000000,2021-01-14 10:45:29.000000,1141,235.0,862.0,8691,1911.0,\"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..\",113.0,27,True,2021-01-14 05:58:03.000000,2.0,37.0,nni,,,,,94.0,78.0,https://pypi.org/project/nni,2021-01-14 05:49:34.000000,16.0,1640.0,1640.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n190,AutoKeras,keras-team/autokeras,,hyperopt,https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20.000000,2021-01-04 07:29:18.000000,2021-01-04 07:29:16.000000,1241,59.0,660.0,7694,1232.0,AutoML library for deep learning.,126.0,27,True,2020-11-30 02:43:50.000000,1.0.12,46.0,autokeras,,,,['tensorflow'],148.0,141.0,https://pypi.org/project/autokeras,2020-11-30 02:43:50.000000,7.0,4798.0,4798.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n191,pretrainedmodels,Cadene/pretrained-models.pytorch,,pytorch-utils,https://github.com/Cadene/pretrained-models.pytorch,https://github.com/Cadene/pretrained-models.pytorch,BSD-3-Clause,2017-04-09 15:54:23.000000,2020-06-08 16:06:59.000000,2020-04-16 08:02:22.000000,1606,85.0,87.0,7622,154.0,\"Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.\",22.0,27,True,2018-10-29 08:18:45.000000,0.7.4,16.0,pretrainedmodels,,,,['pytorch'],928.0,824.0,https://pypi.org/project/pretrainedmodels,2018-10-29 08:18:45.000000,104.0,28257.0,28257.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n192,tensorboardX,lanpa/tensorboardX,,ml-experiments,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19.000000,2020-10-14 17:46:25.000000,2020-07-05 17:29:00.000000,773,72.0,341.0,6761,460.0,\"tensorboard for pytorch (and chainer, mxnet, numpy, ...).\",64.0,27,True,2020-07-05 17:54:10.000000,2.0,12.0,tensorboardX,conda-forge/tensorboardx,,,,11098.0,9764.0,https://pypi.org/project/tensorboardX,2019-12-31 14:04:21.000000,1334.0,287792.0,294915.0,https://anaconda.org/conda-forge/tensorboardx,2020-07-06 20:33:55.729000,256220.0,,,,,2.0,291.0,,,,,,,,,,,,,,,,,,,,\n193,Pyro,pyro-ppl/pyro,,probabilistics,https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000000,2021-01-16 05:08:04.000000,2021-01-16 05:08:01.000000,781,130.0,678.0,6681,2138.0,Deep universal probabilistic programming with Python and PyTorch.,103.0,27,True,2020-11-17 23:30:42.000000,1.5.1,24.0,pyro-ppl,,,,['pytorch'],396.0,360.0,https://pypi.org/project/pyro-ppl,2020-11-17 23:22:46.000000,36.0,6254.0,6254.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n194,PyTorch Image Models,rwightman/pytorch-image-models,,image,https://github.com/rwightman/pytorch-image-models,https://github.com/rwightman/pytorch-image-models,Apache-2.0,2019-02-02 05:51:12.000000,2021-01-17 01:31:44.000000,2021-01-06 05:25:40.000000,916,21.0,210.0,6614,648.0,\"PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2,..\",26.0,27,True,2021-01-08 19:51:18.000000,0.3.4,14.0,,,,,['pytorch'],254.0,254.0,,,,,9094.0,,,,,,,,2.0,181893.0,,,,,,,,,,,,,,,,,,,,\n195,dgl,dmlc/dgl,,graph,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000000,2021-01-17 13:37:50.000000,2021-01-17 02:32:47.000000,1311,216.0,683.0,6521,1502.0,\"Python package built to ease deep learning on graph, on top of existing DL frameworks.\",102.0,27,True,2020-11-30 07:39:12.000000,0.5.3,351.0,dgl,,,,,30.0,,https://pypi.org/project/dgl,2021-01-17 08:43:11.000000,30.0,11512.0,11512.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n196,TensorLayer,tensorlayer/tensorlayer,,reinforcement-learning,https://github.com/tensorlayer/tensorlayer,https://github.com/tensorlayer/tensorlayer,Apache-2.0,2016-06-07 15:55:16.000000,2021-01-06 07:16:21.000000,2021-01-06 02:15:37.000000,1444,48.0,433.0,6454,3309.0,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,128.0,27,True,2021-01-06 07:16:21.000000,2.2.4,82.0,tensorlayer,,,,['tensorflow'],68.0,,https://pypi.org/project/tensorlayer,2020-06-19 00:53:37.000000,68.0,2176.0,2199.0,,,,,,,,2.0,1200.0,,,,,,,,,,,,,,,,,,,,\n197,imageai,OlafenwaMoses/ImageAI,,image,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33.000000,2021-01-05 01:31:44.000000,2021-01-05 01:31:12.000000,1601,184.0,405.0,5768,290.0,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,13.0,27,True,2021-01-05 01:26:01.000000,2.1.6,10.0,imageai,,,,,660.0,648.0,https://pypi.org/project/imageai,2021-01-05 01:26:01.000000,12.0,5305.0,21177.0,,,,,,,,2.0,523796.0,,,,,,,,,,,,,,,,,,,,\n198,tsfresh,blue-yonder/tsfresh,,time-series-data,https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17.000000,2021-01-16 14:05:20.000000,2021-01-12 16:57:20.000000,837,33.0,395.0,5295,398.0,Automatic extraction of relevant features from time series:.,71.0,27,True,2020-09-09 21:08:22.000000,0.17.0,26.0,tsfresh,conda-forge/tsfresh,,,['sklearn'],66.0,,https://pypi.org/project/tsfresh,2020-09-09 21:08:22.000000,66.0,165866.0,166550.0,https://anaconda.org/conda-forge/tsfresh,2020-09-10 08:48:19.773000,26019.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n199,faust,robinhood/faust,,data-pipelines,https://github.com/robinhood/faust,https://github.com/robinhood/faust,BSD-3-Clause,2017-03-08 18:36:11.000000,2021-01-12 17:30:09.000000,2020-10-09 12:59:42.000000,424,225.0,220.0,5215,4137.0,Python Stream Processing.,91.0,27,True,2020-02-25 22:57:18.000000,1.10.4,46.0,faust,,,,,620.0,592.0,https://pypi.org/project/faust,2020-02-25 22:57:18.000000,28.0,51383.0,51383.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n200,OpenNMT,OpenNMT/OpenNMT-py,,nlp,https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000000,2021-01-13 17:47:09.000000,2021-01-13 17:47:08.000000,1768,90.0,1122.0,4761,2539.0,Open Source Neural Machine Translation in PyTorch.,165.0,27,True,2020-11-10 18:09:08.000000,2.0.0rc2,26.0,OpenNMT-py,,,,['pytorch'],69.0,65.0,https://pypi.org/project/OpenNMT-py,2020-11-10 18:10:02.000000,4.0,3982.0,3982.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n201,csvkit,wireservice/csvkit,,data-loading,https://github.com/wireservice/csvkit,https://github.com/wireservice/csvkit,MIT,2011-04-01 03:00:30.000000,2020-10-30 01:59:33.000000,2020-10-30 01:59:29.000000,535,56.0,743.0,4449,1693.0,\"A suite of utilities for converting to and working with CSV, the king of tabular file formats.\",91.0,27,True,2020-03-03 03:00:28.000000,1.0.5,33.0,csvkit,conda-forge/csvkit,,,,1505.0,803.0,https://pypi.org/project/csvkit,2020-03-03 03:00:28.000000,702.0,24632.0,25608.0,https://anaconda.org/conda-forge/csvkit,2019-05-28 12:30:50.171000,44900.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n202,snorkel,snorkel-team/snorkel,,data-loading,https://github.com/snorkel-team/snorkel,https://github.com/snorkel-team/snorkel,Apache-2.0,2016-02-26 05:52:45.000000,2020-10-02 14:30:46.000000,2020-09-05 21:24:32.000000,712,29.0,911.0,4404,2646.0,A system for quickly generating training data with weak supervision.,62.0,27,True,2020-08-09 03:07:36.000000,0.9.6,17.0,snorkel,conda-forge/snorkel,,,,68.0,64.0,https://pypi.org/project/snorkel,2020-04-07 01:35:21.000000,4.0,64250.0,65098.0,https://anaconda.org/conda-forge/snorkel,2020-04-10 13:08:54.445000,15099.0,,,,,3.0,487.0,,,,,,,,,,,,,,,,,,,,\n203,skorch,skorch-dev/skorch,,ml-frameworks,https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000000,2021-01-16 16:29:54.000000,2020-12-25 23:01:18.000000,271,48.0,317.0,3730,935.0,A scikit-learn compatible neural network library that wraps PyTorch.,39.0,27,True,2020-08-30 10:46:40.000000,0.9.0,12.0,skorch,conda-forge/skorch,,,\"['pytorch', 'sklearn']\",267.0,254.0,https://pypi.org/project/skorch,2020-08-30 10:43:37.000000,13.0,5842.0,11639.0,https://anaconda.org/conda-forge/skorch,2020-09-19 04:12:07.576000,162331.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n204,OCRmyPDF,jbarlow83/OCRmyPDF,,ocr,https://github.com/jbarlow83/OCRmyPDF,https://github.com/jbarlow83/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000000,2021-01-10 01:28:23.000000,2021-01-10 00:48:40.000000,421,84.0,561.0,3684,2823.0,\"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.\",49.0,27,True,2021-01-10 01:28:23.000000,11.5.0,158.0,ocrmypdf,,,,,118.0,106.0,https://pypi.org/project/ocrmypdf,2021-01-10 01:28:23.000000,12.0,12639.0,12639.0,,,,,,,,2.0,,,,,,,,,,ocrmypdf,ocrmypdf,,,,,,,,,,\n205,lightfm,lyst/lightfm,,recommender-systems,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00.000000,2020-12-07 16:07:27.944000,2020-11-27 19:54:37.000000,561,127.0,274.0,3456,404.0,\"A Python implementation of LightFM, a hybrid recommendation algorithm.\",42.0,27,True,2020-11-27 19:48:30.000000,1.16,14.0,lightfm,conda-forge/lightfm,,,,406.0,378.0,https://pypi.org/project/lightfm,2020-11-27 19:55:08.000000,28.0,88886.0,90881.0,https://anaconda.org/conda-forge/lightfm,2020-12-07 16:07:27.944000,71845.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n206,InterpretML,interpretml/interpret,,interpretability,https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000000,2021-01-15 21:49:28.000000,2021-01-15 21:49:27.000000,428,45.0,119.0,3387,1479.0,Fit interpretable models. Explain blackbox machine learning.,23.0,27,True,2021-01-14 01:23:48.000000,0.2.3,33.0,interpret,,,,['jupyter'],62.0,60.0,https://pypi.org/project/interpret,2021-01-14 01:19:39.000000,2.0,9789.0,9789.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n207,Ignite,pytorch/ignite,,ml-frameworks,https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000000,2021-01-17 04:47:49.000000,2021-01-13 19:25:21.000000,403,98.0,590.0,3211,850.0,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,118.0,27,True,2020-09-20 20:00:28.000000,0.4.2,440.0,pytorch-ignite,pytorch/ignite,,,['pytorch'],763.0,701.0,https://pypi.org/project/pytorch-ignite,2021-01-17 01:06:02.000000,62.0,34577.0,36241.0,https://anaconda.org/pytorch/ignite,2020-09-20 20:00:11.134000,51587.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n208,dyNET,clab/dynet,,ml-frameworks,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21.000000,2020-10-22 07:16:17.000000,2020-10-22 07:16:12.000000,692,255.0,660.0,3167,3260.0,DyNet: The Dynamic Neural Network Toolkit.,155.0,27,True,2020-10-21 14:31:01.000000,2.1.2,24.0,dyNET,,,,,202.0,164.0,https://pypi.org/project/dyNET,2020-10-21 14:31:01.000000,38.0,4623.0,4651.0,,,,,,,,3.0,1447.0,,,,,,,,,,,,,,,,,,,,\n209,Alpha Vantage,RomelTorres/alpha_vantage,,financial-data,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00.000000,2021-01-14 16:42:33.000000,2020-12-21 19:51:57.000000,545,19.0,198.0,3008,497.0,A python wrapper for Alpha Vantage API for financial data.,36.0,27,True,2020-12-21 02:37:29.000000,2.3.1,28.0,alpha_vantage,,,,,202.0,,https://pypi.org/project/alpha_vantage,2018-08-26 18:55:11.000000,202.0,20791.0,20791.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n210,Dagster,dagster-io/dagster,,data-pipelines,https://github.com/dagster-io/dagster,https://github.com/dagster-io/dagster,Apache-2.0,2018-04-30 16:30:04.000000,2021-01-16 14:51:08.000000,2021-01-15 21:42:30.000000,270,600.0,1807.0,2769,6393.0,\"A data orchestrator for machine learning, analytics, and ETL.\",110.0,27,True,2021-01-15 01:23:34.000000,0.10.0,226.0,dagster,conda-forge/dagster,,,,136.0,132.0,https://pypi.org/project/dagster,2021-01-15 01:23:34.000000,4.0,23743.0,32622.0,https://anaconda.org/conda-forge/dagster,2020-12-04 14:42:14.711000,124307.0,,,,,2.0,,1.0,,,,,,,,,,,,,,,,,,,\n211,missingno,ResidentMario/missingno,,data-viz,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50.000000,2020-12-28 16:13:39.000000,2020-12-28 16:13:38.000000,331,15.0,87.0,2602,170.0,Missing data visualization module for Python.,15.0,27,True,2019-07-09 16:03:51.000000,0.4.2,21.0,missingno,conda-forge/missingno,,,,2736.0,2660.0,https://pypi.org/project/missingno,2018-06-29 16:25:00.000000,76.0,160695.0,162322.0,https://anaconda.org/conda-forge/missingno,2020-02-15 10:07:41.253000,68360.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n212,GluonNLP,dmlc/gluon-nlp,,nlp,https://github.com/dmlc/gluon-nlp,https://github.com/dmlc/gluon-nlp,Apache-2.0,2018-04-04 20:57:13.000000,2021-01-16 11:48:26.000000,2021-01-16 11:48:25.000000,490,227.0,284.0,2208,801.0,\"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..\",78.0,27,True,2020-08-13 19:16:27.000000,0.10.0,25.0,gluonnlp,,,,['mxnet'],384.0,373.0,https://pypi.org/project/gluonnlp,2020-08-13 01:28:51.000000,11.0,31373.0,31373.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n213,Jina,jina-ai/jina,,nlp,https://github.com/jina-ai/jina,https://github.com/jina-ai/jina,Apache-2.0,2020-02-13 17:04:44.000000,2021-01-17 11:04:54.000000,2021-01-17 09:34:31.000000,318,45.0,548.0,1863,4532.0,An easier way to build neural search in the cloud.,81.0,27,True,2021-01-16 00:33:17.000000,0.9.16,161.0,jina,,jinaai/jina,,,45.0,45.0,https://pypi.org/project/jina,2021-01-17 09:38:15.000000,,1890.0,8655.0,,,,https://hub.docker.com/r/jinaai/jina,2021-01-17 09:49:57.478173,,74423.0,2.0,,1.0,,,,,,,,,,,,,,,,,,,\n214,hdbscan,scikit-learn-contrib/hdbscan,,others,https://github.com/scikit-learn-contrib/hdbscan,https://github.com/scikit-learn-contrib/hdbscan,BSD-3-Clause,2015-04-22 13:32:37.000000,2021-01-06 20:53:54.000000,2021-01-06 20:53:54.000000,334,213.0,143.0,1788,867.0,A high performance implementation of HDBSCAN clustering.,64.0,27,True,2020-03-19 19:19:04.000000,0.8.26,42.0,hdbscan,conda-forge/hdbscan,,,['sklearn'],827.0,703.0,https://pypi.org/project/hdbscan,2020-03-19 19:19:04.000000,124.0,106586.0,115991.0,https://anaconda.org/conda-forge/hdbscan,2020-11-02 02:54:21.050000,507919.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n215,TF-Agents,tensorflow/agents,,reinforcement-learning,https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000000,2021-01-14 23:16:47.000000,2021-01-14 23:16:14.000000,453,98.0,307.0,1761,1593.0,TF-Agents is a library for Reinforcement Learning in TensorFlow.,84.0,27,True,2021-01-05 18:41:58.000000,0.7.1,18.0,tf-agents,,,,['tensorflow'],362.0,350.0,https://pypi.org/project/tf-agents,2021-01-05 18:41:58.000000,12.0,7304.0,7304.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n216,ta,bukosabino/ta,,financial-data,https://github.com/bukosabino/ta,https://github.com/bukosabino/ta,MIT,2018-01-02 18:08:48.000000,2021-01-16 09:15:16.000000,2020-11-29 21:08:14.000000,447,60.0,82.0,1729,582.0,Technical Analysis Library using Pandas and Numpy.,23.0,27,True,2020-11-17 08:01:47.000000,0.7.0,49.0,ta,,,,,406.0,400.0,https://pypi.org/project/ta,2020-11-29 10:49:09.000000,6.0,29553.0,29553.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n217,filterpy,rlabbe/filterpy,,probabilistics,https://github.com/rlabbe/filterpy,https://github.com/rlabbe/filterpy,MIT,2014-07-15 02:15:19.000000,2021-01-05 02:45:44.000000,2021-01-04 03:55:54.000000,401,21.0,146.0,1641,528.0,\"Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman..\",33.0,27,True,2018-10-10 22:38:24.000000,1.4.5,48.0,filterpy,conda-forge/filterpy,,,,893.0,681.0,https://pypi.org/project/filterpy,2018-10-10 22:38:24.000000,212.0,14095.0,15389.0,https://anaconda.org/conda-forge/filterpy,2020-05-05 21:13:59.073000,55682.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n218,textacy,chartbeat-labs/textacy,,nlp,https://github.com/chartbeat-labs/textacy,https://github.com/chartbeat-labs/textacy,Apache-2.0,2016-02-03 16:52:45.000000,2021-01-10 22:37:28.000000,2021-01-09 19:21:48.000000,211,30.0,194.0,1591,1332.0,\"NLP, before and after spaCy.\",29.0,27,True,2020-08-29 20:51:05.000000,0.10.1,29.0,textacy,conda-forge/textacy,,,,77.0,,https://pypi.org/project/textacy,2020-08-29 20:51:28.000000,77.0,18630.0,20303.0,https://anaconda.org/conda-forge/textacy,2020-11-19 15:32:56.211000,73623.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n219,tslearn,tslearn-team/tslearn,,time-series-data,https://github.com/tslearn-team/tslearn,https://github.com/tslearn-team/tslearn,BSD-2-Clause,2017-05-04 13:08:13.000000,2021-01-16 16:37:03.000000,2021-01-08 10:47:51.000000,219,59.0,166.0,1443,1558.0,A machine learning toolkit dedicated to time-series data.,28.0,27,True,2020-06-18 15:54:49.000000,0.4.1,90.0,tslearn,conda-forge/tslearn,,,['sklearn'],189.0,178.0,https://pypi.org/project/tslearn,2020-06-18 16:13:01.000000,11.0,66752.0,72007.0,https://anaconda.org/conda-forge/tslearn,2020-06-19 05:46:30.651000,178682.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n220,datasketch,ekzhu/datasketch,,data-containers,https://github.com/ekzhu/datasketch,https://github.com/ekzhu/datasketch,MIT,2015-03-20 01:21:46.000000,2020-12-23 21:01:58.000000,2020-12-23 21:00:36.000000,198,19.0,90.0,1412,193.0,\"MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble.\",16.0,27,True,2020-12-15 20:59:57.000000,1.5.2,74.0,datasketch,,,,,330.0,244.0,https://pypi.org/project/datasketch,2020-12-15 20:59:57.000000,86.0,184860.0,184860.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,,,\n221,Cartopy,mapbox/rasterio,,geospatial-data,https://github.com/mapbox/rasterio,https://github.com/mapbox/rasterio,LGPL-3.0,2013-11-04 16:36:27.000000,2021-01-12 19:45:24.000000,2021-01-12 19:44:37.000000,390,135.0,1191.0,1410,3250.0,Rasterio reads and writes geospatial raster datasets.,110.0,27,False,2018-11-17 07:43:32.000000,0.17.0,18.0,Cartopy,conda-forge/cartopy,,,,2779.0,2606.0,https://pypi.org/project/Cartopy,2020-04-27 04:57:38.000000,173.0,10352.0,32893.0,https://anaconda.org/conda-forge/cartopy,2020-12-21 22:49:27.196000,1306813.0,,,,,2.0,702.0,,,,,,,,,,,,,,,,,,,,\n222,Flax,google/flax,,ml-frameworks,https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000000,2021-01-17 08:47:45.000000,2021-01-15 13:49:41.000000,153,114.0,113.0,1384,1460.0,Flax is a neural network ecosystem for JAX that is designed for flexibility.,69.0,27,True,2020-12-08 15:13:37.000000,0.3.0,9.0,flax,,,,['jax'],90.0,87.0,https://pypi.org/project/flax,2020-12-08 15:14:03.000000,3.0,53934.0,53936.0,,,,,,,,3.0,20.0,-1.0,,,,,,,,,,,,,,,,,,,\n223,GPflow,GPflow/GPflow,,probabilistics,https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000000,2021-01-15 16:56:52.000000,2021-01-13 16:31:51.000000,389,86.0,600.0,1363,2203.0,Gaussian processes in TensorFlow.,68.0,27,True,2020-12-01 12:59:03.000000,2.1.4,28.0,gpflow,conda-forge/gpflow,,,['tensorflow'],225.0,208.0,https://pypi.org/project/gpflow,2020-12-01 13:12:15.000000,17.0,1879.0,2128.0,https://anaconda.org/conda-forge/gpflow,2018-11-06 08:51:39.744000,7978.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n224,ipyleaflet,jupyter-widgets/ipyleaflet,,geospatial-data,https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10.000000,2021-01-16 23:51:37.383000,2021-01-05 16:33:18.000000,278,130.0,247.0,1071,903.0,A Jupyter - Leaflet.js bridge.,63.0,27,True,2021-01-05 16:38:38.000000,0.13.6,70.0,ipyleaflet,conda-forge/ipyleaflet,,,['jupyter'],767.0,667.0,https://pypi.org/project/ipyleaflet,2021-01-05 16:38:38.000000,98.0,12243.0,145631.0,https://anaconda.org/conda-forge/ipyleaflet,2021-01-16 23:51:37.383000,577199.0,,,,,2.0,,,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2021-01-05 16:30:30.235000,2.0,123081.0,,,,,,,,,,,,,\n225,PyCUDA,inducer/pycuda,,gpu-utilities,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000000,2021-01-04 20:15:46.000000,2021-01-04 20:12:30.000000,214,40.0,122.0,1069,1449.0,\"CUDA integration for Python, plus shiny features.\",68.0,27,True,2019-08-12 04:15:37.000000,2019.1.2,46.0,pycuda,,,,,1000.0,708.0,https://pypi.org/project/pycuda,2020-10-07 21:59:52.000000,292.0,13144.0,13144.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n226,Model Analysis,tensorflow/model-analysis,,interpretability,https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000000,2021-01-14 18:10:01.000000,2021-01-14 01:33:37.000000,203,22.0,32.0,1029,879.0,Model analysis tools for TensorFlow.,33.0,27,True,2020-12-16 20:56:20.000000,0.26.0,33.0,tensorflow-model-analysis,,,,\"['tensorflow', 'jupyter']\",10.0,,https://pypi.org/project/tensorflow-model-analysis,2020-12-16 20:56:20.000000,10.0,6645564.0,6645564.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n227,PyStan,stan-dev/pystan,,probabilistics,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,GPL-3.0,2013-05-24 01:21:21.000000,2021-01-16 16:17:38.000000,2020-11-21 11:22:43.000000,192,66.0,425.0,910,867.0,\"PyStan, the Python interface to Stan.\",54.0,27,False,2020-10-16 20:20:46.000000,2.19.1.1-codes,55.0,pystan,conda-forge/pystan,,,,2759.0,2417.0,https://pypi.org/project/pystan,2021-01-16 16:17:38.000000,342.0,684005.0,702312.0,https://anaconda.org/conda-forge/pystan,2020-08-25 22:40:14.631000,842087.0,,,,,2.0,89.0,,,,,,,,,,,,,,,,,,,,\n228,petl,petl-developers/petl,,data-pipelines,https://github.com/petl-developers/petl,https://github.com/petl-developers/petl,MIT,2011-08-19 09:51:03.000000,2021-01-14 08:18:05.000000,2021-01-14 08:17:56.000000,149,66.0,342.0,813,1120.0,Python Extract Transform and Load Tables of Data.,44.0,27,True,2020-12-29 02:39:53.000000,1.7.1,74.0,petl,conda-forge/petl,,http://petl.readthedocs.org,,422.0,308.0,https://pypi.org/project/petl,2020-10-06 00:03:28.000000,114.0,12474.0,12843.0,https://anaconda.org/conda-forge/petl,2020-12-29 04:11:54.349000,19205.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n229,pyopencl,inducer/pyopencl,,others,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,MIT,2011-04-06 02:51:33.000000,2021-01-16 00:43:18.000000,2021-01-15 19:17:30.000000,200,50.0,206.0,763,2807.0,\"OpenCL integration for Python, plus shiny features.\",82.0,27,True,2020-09-11 21:50:46.000000,2020.3.1,54.0,pyopencl,conda-forge/pyopencl,,,,683.0,445.0,https://pypi.org/project/pyopencl,2020-11-20 05:22:46.000000,238.0,4665.0,10532.0,https://anaconda.org/conda-forge/pyopencl,2021-01-13 12:06:30.189000,299256.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n230,igraph,igraph/python-igraph,,graph,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16.000000,2021-01-15 22:45:36.000000,2021-01-15 12:37:00.000000,180,24.0,255.0,758,1506.0,Python interface for igraph.,48.0,27,False,2020-10-08 14:50:52.000000,0.8.3,18.0,python-igraph,conda-forge/igraph,,,,1816.0,1392.0,https://pypi.org/project/python-igraph,2020-04-28 17:45:27.000000,424.0,48336.0,53136.0,https://anaconda.org/conda-forge/igraph,2021-01-05 11:05:57.682000,193092.0,,,,,1.0,38162.0,,,,,,,,,,,,,,,,,,,,\n231,patsy,pydata/patsy,,probabilistics,https://github.com/pydata/patsy,https://github.com/pydata/patsy,BSD-2-Clause,2012-07-10 12:30:06.000000,2020-09-09 13:00:29.000000,2018-10-31 21:55:48.000000,85,78.0,51.0,731,517.0,Describing statistical models in Python using symbolic formulas.,13.0,27,False,2018-10-28 05:07:55.000000,0.5.1,8.0,patsy,conda-forge/patsy,,,,33707.0,28783.0,https://pypi.org/project/patsy,2018-10-28 03:59:51.000000,4924.0,1314943.0,1361191.0,https://anaconda.org/conda-forge/patsy,2018-10-28 05:21:35.412000,2451187.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n232,zarr,zarr-developers/zarr-python,,data-containers,https://github.com/zarr-developers/zarr-python,https://github.com/zarr-developers/zarr-python,MIT,2015-12-15 14:49:40.000000,2021-01-12 12:25:06.000000,2021-01-04 03:08:50.000000,107,179.0,228.0,621,1374.0,\"An implementation of chunked, compressed, N-dimensional arrays for Python.\",35.0,27,True,2020-12-02 18:33:13.000000,2.6.1,31.0,zarr,conda-forge/zarr,,,,589.0,517.0,https://pypi.org/project/zarr,2020-12-02 18:33:13.000000,72.0,61128.0,70436.0,https://anaconda.org/conda-forge/zarr,2020-12-03 02:31:13.848000,521259.0,,,,,3.0,,1.0,,,,,,,,,,,,,,,,,,,\n233,geojson,jazzband/geojson,,geospatial-data,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48.000000,2020-11-25 21:55:02.000000,2020-11-25 19:10:27.000000,78,18.0,50.0,591,445.0,Python bindings and utilities for GeoJSON.,44.0,27,True,2019-08-09 20:32:15.000000,2.5.0,28.0,geojson,conda-forge/geojson,,,,7191.0,5587.0,https://pypi.org/project/geojson,2019-08-09 20:32:15.000000,1604.0,385793.0,391982.0,https://anaconda.org/conda-forge/geojson,2019-08-11 12:10:34.426000,359011.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n234,data-validation,tensorflow/data-validation,,data-viz,https://github.com/tensorflow/data-validation,https://github.com/tensorflow/data-validation,Apache-2.0,2018-07-02 15:47:02.000000,2021-01-15 17:09:56.000000,2021-01-15 17:09:49.000000,94,38.0,72.0,503,554.0,Library for exploring and validating machine learning data.,20.0,27,True,2020-12-17 00:43:02.000000,0.26.0,23.0,tensorflow-data-validation,,,,\"['tensorflow', 'jupyter']\",236.0,218.0,https://pypi.org/project/tensorflow-data-validation,2020-12-17 00:43:02.000000,18.0,6808873.0,6808879.0,,,,,,,,2.0,195.0,,,,,,,,,,,,,,,,,,,,\n235,audioread,beetbox/audioread,,audio,https://github.com/beetbox/audioread,https://github.com/beetbox/audioread,MIT,2011-11-08 19:53:18.000000,2020-12-08 20:08:37.201000,2020-10-20 11:22:05.000000,83,31.0,44.0,356,232.0,cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python.,20.0,27,True,2020-10-20 11:23:09.000000,2.1.9,25.0,audioread,conda-forge/audioread,,,,4515.0,3929.0,https://pypi.org/project/audioread,2020-10-20 11:23:09.000000,586.0,268704.0,272252.0,https://anaconda.org/conda-forge/audioread,2020-12-08 20:08:37.201000,191619.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n236,detectron2,facebookresearch/detectron2,,image,https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000000,2021-01-16 09:36:22.000000,2021-01-16 09:36:14.000000,3694,103.0,2098.0,14527,912.0,Detectron2 is FAIR's next-generation platform for object detection and segmentation.,140.0,26,True,2020-11-06 03:20:56.000000,0.3,7.0,,conda-forge/detectron2,,,['pytorch'],150.0,150.0,,,,,1518.0,https://anaconda.org/conda-forge/detectron2,2020-08-05 13:27:52.058000,12146.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n237,Streamlit,streamlit/streamlit,,others,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000000,2021-01-17 06:35:35.000000,2021-01-15 21:30:12.000000,1046,536.0,933.0,12599,,Streamlit The fastest way to build data apps in Python.,84.0,26,True,2021-01-07 22:00:44.000000,0.74.1,122.0,streamlit,,,,,83.0,49.0,https://pypi.org/project/streamlit,2021-01-07 22:01:03.000000,34.0,104076.0,104076.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n238,Dopamine,google/dopamine,,reinforcement-learning,https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36.000000,2021-01-05 04:01:12.000000,2020-11-24 20:59:42.000000,1225,72.0,69.0,9273,210.0,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,13.0,26,True,2020-10-16 22:05:03.000000,3.1.8,34.0,dopamine-rl,,,,['tensorflow'],31.0,,https://pypi.org/project/dopamine-rl,2020-10-16 22:05:03.000000,31.0,58600.0,58600.0,,,,,,,,2.0,,-1.0,,,,,,,,,,,,,,,,,,,\n239,InsightFace,deepinsight/insightface,,image,https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,MIT,2017-09-01 00:36:51.000000,2021-01-15 01:40:02.000000,2021-01-13 11:38:33.000000,2905,701.0,644.0,8399,1471.0,Face Analysis Project on MXNet.,14.0,26,True,2019-09-07 13:47:11.000000,0.1.5,6.0,insightface,,,,['mxnet'],51.0,50.0,https://pypi.org/project/insightface,2019-09-07 13:47:11.000000,1.0,4353.0,4353.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n240,PySyft,OpenMined/PySyft,,privacy-ml,https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,MIT,2017-07-18 20:41:16.000000,2021-01-17 12:54:04.000000,2021-01-15 05:28:03.000000,1538,175.0,2450.0,6756,6515.0,A library for answering questions using data you cannot see.,333.0,26,True,2020-11-12 19:57:33.000000,0.3.0,48.0,syft,,,,['pytorch'],3.0,,https://pypi.org/project/syft,2020-09-14 15:03:40.000000,3.0,1551.0,1551.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n241,carla,carla-simulator/carla,,others,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000000,2021-01-14 10:26:26.000000,2020-12-22 22:54:58.000000,1607,287.0,2636.0,5476,4756.0,Open-source simulator for autonomous driving research.,122.0,26,True,2020-12-23 07:08:35.000000,0.9.11,22.0,carla,,,,,56.0,54.0,https://pypi.org/project/carla,2019-04-28 17:45:24.000000,2.0,488.0,488.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n242,backtrader,mementum/backtrader,,financial-data,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52.000000,2021-01-16 16:35:49.000000,2020-07-03 12:52:48.000000,1726,18.0,,5425,2381.0,Python Backtesting library for trading strategies.,50.0,26,False,,,155.0,backtrader,,,,,494.0,424.0,https://pypi.org/project/backtrader,2020-07-03 13:02:14.000000,70.0,22580.0,22580.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n243,auto-sklearn,automl/auto-sklearn,,hyperopt,https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10.000000,2021-01-15 17:46:30.000000,2021-01-04 13:37:04.000000,971,120.0,554.0,5156,2402.0,Automated Machine Learning with scikit-learn.,63.0,26,True,2021-01-04 14:13:00.000000,0.12.1,26.0,auto-sklearn,,,,['sklearn'],158.0,128.0,https://pypi.org/project/auto-sklearn,2021-01-04 14:13:00.000000,30.0,6307.0,6307.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n244,DeepPavlov,deepmipt/DeepPavlov,,nlp,https://github.com/deepmipt/DeepPavlov,https://github.com/deepmipt/DeepPavlov,Apache-2.0,2017-11-17 14:35:29.000000,2021-01-17 14:07:27.000000,2020-12-24 16:30:15.000000,891,80.0,445.0,4942,2579.0,An open source library for deep learning end-to-end dialog systems and chatbots.,61.0,26,True,2020-12-24 16:35:56.000000,0.14.0,41.0,deeppavlov,,,,['tensorflow'],170.0,166.0,https://pypi.org/project/deeppavlov,2020-12-24 16:33:49.000000,4.0,4295.0,4295.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n245,keras-rl,keras-rl/keras-rl,,reinforcement-learning,https://github.com/keras-rl/keras-rl,https://github.com/keras-rl/keras-rl,MIT,2016-07-02 15:53:12.000000,2020-11-20 07:32:13.000000,2019-11-11 22:14:54.000000,1284,39.0,211.0,4918,308.0,Deep Reinforcement Learning for Keras.,40.0,26,False,2018-06-01 07:52:24.000000,0.4.2,8.0,keras-rl,,,,['tensorflow'],494.0,443.0,https://pypi.org/project/keras-rl,2018-06-01 07:52:24.000000,51.0,1525.0,1525.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n246,Bayesian Optimization,fmfn/BayesianOptimization,,hyperopt,https://github.com/fmfn/BayesianOptimization,https://github.com/fmfn/BayesianOptimization,MIT,2014-06-06 08:18:56.000000,2020-12-24 10:51:12.000000,2020-12-19 01:11:23.000000,1040,42.0,164.0,4795,199.0,A Python implementation of global optimization with gaussian processes.,27.0,26,True,2020-05-16 16:03:51.000000,1.2.0,8.0,bayesian-optimization,,,,,660.0,568.0,https://pypi.org/project/bayesian-optimization,2020-05-16 15:56:09.000000,92.0,46532.0,46533.0,,,,,,,,2.0,46.0,,,,,,,,,,,,,,,,,,,,\n247,scikit-surprise,NicolasHug/Surprise,,recommender-systems,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38.000000,2020-10-13 01:22:58.850000,2020-08-05 17:45:59.000000,815,35.0,285.0,4630,622.0,A Python scikit for building and analyzing recommender systems.,38.0,26,True,2020-07-19 14:50:48.000000,1.1.1,9.0,scikit-surprise,conda-forge/scikit-surprise,,,,887.0,863.0,https://pypi.org/project/scikit-surprise,2020-07-19 14:50:48.000000,24.0,37466.0,41675.0,https://anaconda.org/conda-forge/scikit-surprise,2020-10-13 01:22:58.850000,151539.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n248,Datasette,simonw/datasette,,others,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000000,2021-01-14 02:14:53.000000,2021-01-14 02:14:33.000000,241,210.0,737.0,4529,1553.0,An open source multi-tool for exploring and publishing data.,42.0,26,True,2020-12-11 01:46:44.000000,0.53,87.0,datasette,,,,,406.0,336.0,https://pypi.org/project/datasette,2020-12-11 01:53:37.000000,70.0,4241.0,4241.0,,,,,,,,2.0,24.0,,,,,,,,,datasette,,,,,,,,,,,\n249,PDFMiner,euske/pdfminer,,data-loading,https://github.com/euske/pdfminer,https://github.com/euske/pdfminer,MIT,2010-12-12 12:50:22.000000,2020-06-23 18:16:10.000000,2020-01-18 07:00:32.000000,1024,222.0,39.0,4476,540.0,Python PDF Parser (Not actively maintained). Check out pdfminer.six.,28.0,26,True,,,24.0,pdfminer,conda-forge/pdfminer,,,,3452.0,1986.0,https://pypi.org/project/pdfminer,2019-11-25 12:02:21.000000,1466.0,167944.0,168196.0,https://anaconda.org/conda-forge/pdfminer,2019-11-03 18:50:06.843000,13381.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n250,librosa,librosa/librosa,,audio,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000000,2020-10-19 21:24:48.000000,2020-09-11 13:58:44.000000,676,53.0,779.0,4219,,Python library for audio and music analysis.,80.0,26,True,2020-07-22 01:34:55.000000,0.8.0,28.0,librosa,conda-forge/librosa,,,,10624.0,8874.0,https://pypi.org/project/librosa,2020-07-22 01:34:55.000000,1750.0,289438.0,293908.0,https://anaconda.org/conda-forge/librosa,2020-07-22 10:27:18.402000,241381.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n251,Metaflow,Netflix/metaflow,,ml-experiments,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000000,2021-01-12 07:08:35.000000,2021-01-11 21:13:46.000000,310,107.0,139.0,3990,180.0,Build and manage real-life data science projects with ease.,28.0,26,True,2020-11-11 10:43:10.000000,2.2.5,14.0,metaflow,conda-forge/metaflow,,,,101.0,100.0,https://pypi.org/project/metaflow,2020-10-29 00:11:07.000000,1.0,36534.0,37306.0,https://anaconda.org/conda-forge/metaflow,2020-11-12 08:15:24.353000,10036.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n252,mlpack,mlpack/mlpack,,ml-frameworks,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59.000000,2021-01-17 05:48:59.000000,2021-01-16 14:49:46.000000,1287,156.0,1186.0,3527,25793.0,mlpack: a scalable C++ machine learning library --.,262.0,26,True,2020-10-28 18:28:47.000000,3.4.2,40.0,mlpack,conda-forge/mlpack,,,,,,https://pypi.org/project/mlpack,2020-10-28 18:28:47.000000,,183.0,2264.0,https://anaconda.org/conda-forge/mlpack,2020-10-29 09:35:18.918000,62459.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n253,sktime,alan-turing-institute/sktime,,time-series-data,https://github.com/alan-turing-institute/sktime,https://github.com/alan-turing-institute/sktime,BSD-3-Clause,2018-11-06 15:08:24.000000,2021-01-16 05:11:08.000000,2021-01-15 16:54:11.000000,424,100.0,219.0,3444,1668.0,A unified framework for machine learning with time series.,71.0,26,True,2021-01-13 10:44:56.000000,0.5.2,11.0,sktime,,,,['sklearn'],91.0,91.0,https://pypi.org/project/sktime,2020-12-29 22:15:58.000000,0.0,7232.0,7234.0,,,,,,,,2.0,41.0,,,,,,,,,,,,,,,,,,,,\n254,Perspective,finos/perspective,,data-viz,https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000000,2021-01-17 13:56:56.000000,2021-01-17 13:51:53.000000,339,72.0,297.0,3114,4299.0,Streaming pivot visualization via WebAssembly.,61.0,26,True,2021-01-14 04:18:20.000000,0.6.0,39.0,perspective-python,,,,['jupyter'],168.0,164.0,https://pypi.org/project/perspective-python,2021-01-14 04:18:20.000000,4.0,506.0,1426.0,,,,,,,,3.0,,,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2021-01-08 07:02:49.503000,,920.0,,,,,,,,,,,,,\n255,yellowbrick,DistrictDataLabs/yellowbrick,,interpretability,https://github.com/DistrictDataLabs/yellowbrick,https://github.com/DistrictDataLabs/yellowbrick,Apache-2.0,2016-05-18 14:12:17.000000,2021-01-15 19:33:04.000000,2021-01-15 19:32:11.000000,462,83.0,511.0,3071,831.0,Visual analysis and diagnostic tools to facilitate machine learning model selection.,95.0,26,True,2021-01-15 19:35:31.000000,1.2.1,20.0,yellowbrick,,,,['sklearn'],62.0,,https://pypi.org/project/yellowbrick,2020-10-09 19:35:00.000000,62.0,55950.0,55950.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n256,textract,deanmalmgren/textract,,data-loading,https://github.com/deanmalmgren/textract,https://github.com/deanmalmgren/textract,MIT,2014-07-03 20:36:59.000000,2021-01-04 14:04:16.000000,2019-11-14 08:37:39.000000,424,84.0,121.0,2935,556.0,extract text from any document. no muss. no fuss.,30.0,26,False,2019-08-26 15:05:53.000000,1.6.3,15.0,textract,conda-forge/textract,,,,192.0,,https://pypi.org/project/textract,2019-08-26 15:05:53.000000,192.0,17672.0,17869.0,https://anaconda.org/conda-forge/textract,2017-03-20 21:15:33.254000,10278.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n257,AutoGluon,awslabs/autogluon,,hyperopt,https://github.com/awslabs/autogluon,https://github.com/awslabs/autogluon,Apache-2.0,2019-07-29 18:51:24.000000,2021-01-17 09:42:57.000000,2021-01-16 03:23:11.000000,380,151.0,218.0,2912,472.0,\"AutoGluon: AutoML for Text, Image, and Tabular Data.\",50.0,26,True,2020-12-08 19:01:22.000000,0.0.15,299.0,autogluon,,,,['mxnet'],44.0,44.0,https://pypi.org/project/autogluon,2021-01-17 09:42:57.000000,0.0,19391.0,19391.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n258,pomegranate,jmschrei/pomegranate,,probabilistics,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000000,2021-01-12 17:45:04.000000,2021-01-09 22:21:18.000000,459,32.0,538.0,2569,870.0,\"Fast, flexible and easy to use probabilistic modelling in Python.\",61.0,26,True,2020-07-12 21:28:17.000000,0.14.0,61.0,pomegranate,conda-forge/pomegranate,,,,433.0,377.0,https://pypi.org/project/pomegranate,2021-01-09 22:24:27.000000,56.0,21029.0,23371.0,https://anaconda.org/conda-forge/pomegranate,2020-11-01 16:22:04.857000,42169.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n259,Catalyst,catalyst-team/catalyst,,ml-experiments,https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13.000000,2021-01-17 13:53:30.000000,2021-01-14 16:40:09.000000,268,18.0,259.0,2388,1468.0,Accelerated deep learning R&D.,80.0,26,True,2020-12-20 10:12:32.000000,20.12,86.0,catalyst,,,,['pytorch'],306.0,268.0,https://pypi.org/project/catalyst,2020-12-20 10:06:58.000000,38.0,6628.0,6628.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n260,pygal,Kozea/pygal,,graph,https://github.com/Kozea/pygal,https://github.com/Kozea/pygal,LGPL-3.0,2011-09-23 10:17:50.000000,2020-12-24 20:11:00.000000,2020-10-14 16:41:45.000000,380,164.0,240.0,2305,1012.0,PYthon svg GrAph plotting Library.,69.0,26,False,2017-07-05 09:22:41.000000,2.4.0,74.0,pygal,conda-forge/pygal,,,,1152.0,,https://pypi.org/project/pygal,2020-10-14 13:06:35.000000,1152.0,55267.0,55564.0,https://anaconda.org/conda-forge/pygal,2019-06-04 02:55:56.728000,5661.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n261,gpustat,wookayin/gpustat,,gpu-utilities,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43.000000,2021-01-13 04:03:59.000000,2021-01-13 04:00:20.000000,183,20.0,47.0,2181,166.0,A simple command-line utility for querying and monitoring GPU status.,10.0,26,True,2019-07-22 06:37:00.000000,0.6.0,11.0,gpustat,conda-forge/gpustat,,,,629.0,571.0,https://pypi.org/project/gpustat,2021-01-02 05:59:41.000000,58.0,128250.0,128666.0,https://anaconda.org/conda-forge/gpustat,2020-11-24 19:59:04.772000,9167.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n262,Core ML Tools,apple/coremltools,,model-serialisation,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000000,2021-01-13 20:54:15.000000,2021-01-08 03:08:31.000000,319,307.0,305.0,2080,851.0,\"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.\",107.0,26,True,2020-10-10 18:21:00.000000,4.0,27.0,coremltools,,,,,579.0,446.0,https://pypi.org/project/coremltools,2020-10-10 18:16:12.000000,133.0,38726.0,38783.0,,,,,,,,1.0,2311.0,,,,,,,,,,,,,,,,,,,,\n263,Cufflinks,santosjorge/cufflinks,,data-viz,https://github.com/santosjorge/cufflinks,https://github.com/santosjorge/cufflinks,MIT,2014-11-19 20:59:33.000000,2020-10-07 16:12:54.000000,2020-10-07 16:12:53.000000,533,81.0,119.0,2056,450.0,Productivity Tools for Plotly + Pandas.,37.0,26,True,2020-03-01 17:42:01.000000,0.17.3,27.0,cufflinks,,,,['pandas'],2768.0,2534.0,https://pypi.org/project/cufflinks,2020-03-01 17:42:01.000000,234.0,46643.0,46643.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n264,aubio,aubio/aubio,,audio,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44.000000,2020-12-07 11:14:34.000000,2020-07-02 17:03:56.000000,292,104.0,171.0,2021,4109.0,a library for audio and music analysis.,24.0,26,False,2019-02-27 09:00:43.000000,0.4.9,10.0,aubio,conda-forge/aubio,,,,224.0,208.0,https://pypi.org/project/aubio,2019-02-08 11:21:02.000000,16.0,1435.0,9668.0,https://anaconda.org/conda-forge/aubio,2020-10-13 12:09:18.538000,378744.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n265,BoTorch,pytorch/botorch,,hyperopt,https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000000,2021-01-17 07:08:42.000000,2021-01-13 01:28:05.000000,173,40.0,113.0,1812,805.0,Bayesian optimization in PyTorch.,50.0,26,True,2020-12-08 06:47:25.000000,0.3.3,16.0,botorch,,,,['pytorch'],74.0,74.0,https://pypi.org/project/botorch,2020-12-08 06:47:25.000000,0.0,25030.0,25030.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n266,PyFunctional,EntilZha/PyFunctional,,data-pipelines,https://github.com/EntilZha/PyFunctional,https://github.com/EntilZha/PyFunctional,MIT,2015-02-05 17:17:51.000000,2021-01-12 19:21:06.000000,2021-01-12 19:14:24.000000,99,2.0,115.0,1764,516.0,Python library for creating data pipelines with chain functional programming.,23.0,26,True,2021-01-12 19:21:07.000000,1.4.3,14.0,pyfunctional,,,,,248.0,248.0,https://pypi.org/project/pyfunctional,2021-01-12 19:14:48.000000,0.0,29476.0,29476.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n267,langid,saffsd/langid.py,,nlp,https://github.com/saffsd/langid.py,https://github.com/saffsd/langid.py,BSD-3-Clause,2011-04-29 00:16:56.000000,2020-01-01 10:49:30.000000,2017-07-15 02:49:17.000000,265,25.0,45.0,1706,242.0,Stand-alone language identification system.,9.0,26,False,2016-04-05 22:34:15.000000,1.1.6,8.0,langid,,,,,837.0,587.0,https://pypi.org/project/langid,2016-04-05 22:34:15.000000,250.0,476930.0,476930.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n268,efficientnet,qubvel/efficientnet,,tensorflow-utils,https://github.com/qubvel/efficientnet,https://github.com/qubvel/efficientnet,Apache-2.0,2019-05-30 20:21:09.000000,2020-12-10 07:02:58.000000,2020-09-15 16:19:36.000000,372,49.0,55.0,1661,64.0,Implementation of EfficientNet model. Keras and TensorFlow Keras.,8.0,26,True,2020-09-15 16:26:00.000000,1.1.1,9.0,efficientnet,,,,['tensorflow'],490.0,488.0,https://pypi.org/project/efficientnet,2020-09-15 16:26:00.000000,2.0,81576.0,88655.0,,,,,,,,2.0,141584.0,,,,,,,,,,,,,,,,,,,,\n269,tesserocr,sirfz/tesserocr,,ocr,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36.000000,2021-01-13 16:38:14.456000,2020-11-17 19:55:36.000000,185,60.0,141.0,1383,151.0,A Python wrapper for the tesseract-ocr API.,23.0,26,True,2020-03-17 17:45:44.000000,2.5.1,15.0,tesserocr,conda-forge/tesserocr,,,,496.0,446.0,https://pypi.org/project/tesserocr,2020-03-17 17:45:44.000000,50.0,24413.0,26540.0,https://anaconda.org/conda-forge/tesserocr,2021-01-13 16:38:14.456000,31915.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n270,TFX,tensorflow/tfx,,data-pipelines,https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000000,2021-01-17 03:48:53.000000,2021-01-15 02:23:44.000000,373,200.0,305.0,1290,3014.0,TFX is an end-to-end platform for deploying production ML pipelines.,97.0,26,True,2021-01-06 21:34:50.000000,0.26.0,38.0,tfx,,,,['tensorflow'],4.0,,https://pypi.org/project/tfx,2021-01-06 21:34:50.000000,4.0,105044.0,105044.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n271,agate,wireservice/agate,,others,https://github.com/wireservice/agate,https://github.com/wireservice/agate,MIT,2014-04-25 13:59:09.000000,2020-12-30 20:43:14.000000,2020-04-01 15:40:18.000000,131,54.0,588.0,1025,1355.0,A Python data analysis library that is optimized for humans instead of machines.,47.0,26,True,2018-03-11 14:37:30.000000,1.6.1,24.0,agate,conda-forge/agate,,,,572.0,480.0,https://pypi.org/project/agate,2018-03-11 14:37:30.000000,92.0,146072.0,147333.0,https://anaconda.org/conda-forge/agate,2018-08-19 06:02:58.597000,59273.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n272,TF Model Optimization,tensorflow/model-optimization,,tensorflow-utils,https://github.com/tensorflow/model-optimization,https://github.com/tensorflow/model-optimization,Apache-2.0,2018-10-31 20:34:28.000000,2021-01-15 16:44:11.000000,2021-01-13 01:57:33.000000,212,70.0,89.0,949,474.0,\"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.\",43.0,26,True,2020-09-14 04:46:03.000000,0.5.0,20.0,tensorflow-model-optimization,,,,['tensorflow'],532.0,529.0,https://pypi.org/project/tensorflow-model-optimization,2020-09-14 04:36:08.000000,3.0,50186.0,50186.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n273,pmdarima,alkaline-ml/pmdarima,,time-series-data,https://github.com/alkaline-ml/pmdarima,https://github.com/alkaline-ml/pmdarima,MIT,2017-03-30 14:58:30.000000,2020-12-22 23:37:03.000000,2020-12-02 16:09:46.000000,152,17.0,206.0,797,1020.0,\"A statistical library designed to fill the void in Python's time series analysis capabilities, including the..\",16.0,26,True,2020-12-02 23:17:04.000000,1.8.0,28.0,pmdarima,,,,,692.0,680.0,https://pypi.org/project/pmdarima,2020-12-02 23:17:04.000000,12.0,193995.0,193995.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n274,pyclustering,annoviko/pyclustering,,others,https://github.com/annoviko/pyclustering,https://github.com/annoviko/pyclustering,BSD-3-Clause,2014-02-25 18:59:03.000000,2020-12-08 15:01:28.000000,2020-12-03 10:56:55.000000,185,53.0,583.0,777,2066.0,\"pyclustring is a Python, C++ data mining library.\",26.0,26,True,2020-11-25 22:33:07.000000,0.10.1.2,46.0,pyclustering,conda-forge/pyclustering,,,,207.0,171.0,https://pypi.org/project/pyclustering,2020-11-25 22:41:20.000000,36.0,17241.0,18169.0,https://anaconda.org/conda-forge/pyclustering,2020-11-30 17:36:43.767000,12006.0,,,,,2.0,283.0,,,,,,,,,,,,,,,,,,,,\n275,TensorFlow Text,tensorflow/text,,nlp,https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000000,2021-01-16 00:31:34.000000,2021-01-16 00:21:12.000000,85,39.0,84.0,682,333.0,Making text a first-class citizen in TensorFlow.,31.0,26,True,2021-01-13 04:36:01.000000,2.4.3,32.0,tensorflow-text,,,,['tensorflow'],422.0,418.0,https://pypi.org/project/tensorflow-text,2021-01-13 04:24:47.000000,4.0,148936.0,148936.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n276,dask-ml,dask/dask-ml,,distributed-ml,https://github.com/dask/dask-ml,https://github.com/dask/dask-ml,BSD-3-Clause,2017-06-15 15:56:06.000000,2021-01-11 12:53:16.000000,2021-01-05 22:11:00.000000,181,173.0,201.0,682,750.0,Scalable Machine Learning with Dask.,61.0,26,True,2020-09-24 19:34:38.000000,1.7.0,26.0,dask-ml,conda-forge/dask-ml,,,,370.0,328.0,https://pypi.org/project/dask-ml,2020-09-24 19:34:38.000000,42.0,30218.0,35044.0,https://anaconda.org/conda-forge/dask-ml,2020-09-24 21:21:37.412000,188218.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n277,Mesh,tensorflow/mesh,,distributed-ml,https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34.000000,2021-01-15 14:34:32.000000,2021-01-15 14:34:21.000000,122,72.0,12.0,667,575.0,Mesh TensorFlow: Model Parallelism Made Easier.,38.0,26,True,2020-12-17 23:10:07.000000,0.1.18,24.0,mesh-tensorflow,,,,['tensorflow'],511.0,483.0,https://pypi.org/project/mesh-tensorflow,2020-12-17 23:10:07.000000,28.0,90848.0,90848.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n278,PyVista,pyvista/pyvista,,data-viz,https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000000,2021-01-17 01:04:04.000000,2021-01-17 01:04:03.000000,134,116.0,263.0,656,2052.0,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,49.0,26,True,2020-12-10 16:30:09.000000,0.27.4,32.0,pyvista,conda-forge/pyvista,,,['jupyter'],264.0,238.0,https://pypi.org/project/pyvista,2020-12-10 16:30:09.000000,26.0,6834.0,9546.0,https://anaconda.org/conda-forge/pyvista,2020-12-10 19:09:38.280000,54231.0,,,,,3.0,38.0,,,,,,,,,,,,,,,,,,,,\n279,SMAC3,automl/SMAC3,,hyperopt,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-3-Clause,2016-08-17 10:58:05.000000,2021-01-15 23:09:47.000000,2020-10-29 10:14:55.000000,153,76.0,250.0,551,1888.0,Sequential Model-based Algorithm Configuration.,30.0,26,True,2020-10-29 10:57:56.000000,0.13.1,29.0,smac,,,,,58.0,,https://pypi.org/project/smac,2020-10-29 10:57:56.000000,58.0,8471.0,8471.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n280,tabulator-py,frictionlessdata/tabulator-py,,data-loading,https://github.com/frictionlessdata/tabulator-py,https://github.com/frictionlessdata/tabulator-py,MIT,2015-08-24 05:34:38.000000,2020-11-30 09:29:14.000000,2020-11-30 08:49:22.000000,40,,176.0,199,646.0,Python library for reading and writing tabular data via streams.,24.0,26,True,2020-11-30 09:29:14.000000,1.53.1,138.0,tabulator,conda-forge/tabulator-py,,,,560.0,456.0,https://pypi.org/project/tabulator,2020-11-30 09:29:14.000000,104.0,88374.0,89243.0,https://anaconda.org/conda-forge/tabulator-py,2018-07-24 12:57:07.018000,37385.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n281,spleeter,deezer/spleeter,,audio,https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000000,2021-01-15 13:51:16.000000,2021-01-15 13:51:15.000000,1548,93.0,403.0,15311,426.0,Deezer source separation library including pretrained models.,17.0,25,True,2021-01-08 18:22:28.000000,2.1.2,30.0,spleeter,conda-forge/spleeter,,,['tensorflow'],0.0,,https://pypi.org/project/spleeter,2021-01-08 18:22:28.000000,0.0,5698.0,68269.0,https://anaconda.org/conda-forge/spleeter,2020-06-30 14:33:43.220000,40786.0,,,,,2.0,894876.0,,,,,,,,,,,,,,,,,,,,\n282,MMDetection,open-mmlab/mmdetection,,image,https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000000,2021-01-16 21:34:55.000000,2021-01-14 07:13:20.000000,4535,327.0,2927.0,13332,1394.0,OpenMMLab Detection Toolbox and Benchmark.,183.0,25,True,2021-01-04 02:43:20.000000,2.8.0,8.0,,,,,['pytorch'],18.0,18.0,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n283,Ludwig,ludwig-ai/ludwig,,ml-frameworks,https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000000,2021-01-17 07:19:10.000000,2020-12-30 20:52:24.000000,882,110.0,406.0,7433,2046.0,Ludwig is a toolbox that allows to train and evaluate deep learning models without the need to write code.,86.0,25,True,2020-12-29 03:18:52.000000,0.3.2,15.0,ludwig,,,,['tensorflow'],86.0,74.0,https://pypi.org/project/ludwig,2020-11-16 23:58:45.000000,12.0,1081.0,1081.0,,,,,,,,3.0,,-1.0,,,,,,,,,,,,,,,,,,,\n284,NuPIC,numenta/nupic,,ml-frameworks,https://github.com/numenta/nupic,https://github.com/numenta/nupic,AGPL-3.0,2013-04-05 23:14:27.000000,2020-12-11 19:56:36.000000,2019-10-23 20:45:07.000000,1585,456.0,1337.0,6190,6625.0,\"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..\",120.0,25,False,2018-06-01 15:37:54.000000,1.0.5,53.0,nupic,,,,,128.0,90.0,https://pypi.org/project/nupic,2018-06-01 15:37:54.000000,38.0,1403.0,1403.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n285,Trax,google/trax,,others,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000000,2021-01-17 02:58:22.000000,2021-01-15 15:49:51.000000,516,54.0,99.0,5567,1252.0,Trax Deep Learning with Clear Code and Speed.,56.0,25,True,2020-12-18 17:22:13.000000,1.3.7,20.0,trax,,,,,19.0,19.0,https://pypi.org/project/trax,2020-12-18 17:22:13.000000,,3240.0,3240.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n286,Milvus,milvus-io/milvus,,nn-search,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000000,2021-01-15 02:51:38.000000,2021-01-15 02:51:37.000000,757,227.0,1860.0,4904,6164.0,\"An open source embedding vector similarity search engine powered by Faiss, NMSLIB and Annoy.\",141.0,25,True,2021-01-07 11:11:35.000000,0.10.5,43.0,pymilvus,,milvusdb/milvus,,,6.0,,https://pypi.org/project/pymilvus,2020-10-16 13:11:09.000000,6.0,6706.0,20607.0,,,,https://hub.docker.com/r/milvusdb/milvus,2021-01-06 06:23:42.478311,9.0,222426.0,2.0,,,,,,,,,,,,,,,,,,,,,\n287,CleverHans,cleverhans-lab/cleverhans,,adversarial,https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04.000000,2021-01-13 18:30:30.000000,2021-01-13 02:22:13.000000,1209,75.0,373.0,4894,3004.0,\"An adversarial example library for constructing attacks, building defenses, and benchmarking both.\",109.0,25,True,2018-11-27 17:36:15.000000,3.0.1,6.0,cleverhans,,,,['tensorflow'],189.0,181.0,https://pypi.org/project/cleverhans,2018-11-27 17:36:15.000000,8.0,519.0,519.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n288,Augmentor,mdbloice/Augmentor,,image,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55.000000,2020-11-10 05:20:01.000000,2020-03-09 11:32:02.000000,777,115.0,67.0,4289,511.0,Image augmentation library in Python for machine learning.,22.0,25,True,2020-01-17 11:59:53.000000,0.2.8,20.0,Augmentor,,,,,316.0,274.0,https://pypi.org/project/Augmentor,2020-01-17 11:59:53.000000,42.0,2672.0,2672.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n289,PyTorch3D,facebookresearch/pytorch3d,,image,https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,MIT,2019-10-25 02:23:45.000000,2021-01-15 09:33:11.000000,2021-01-11 23:49:55.000000,464,56.0,409.0,4232,353.0,PyTorch3D is FAIR's library of reusable components for deep learning with 3D data.,50.0,25,True,2020-11-12 10:28:29.000000,0.3.0,6.0,pytorch3d,pytorch3d/pytorch3d,,,['pytorch'],44.0,44.0,https://pypi.org/project/pytorch3d,2020-11-12 10:28:29.000000,,4196.0,4602.0,https://anaconda.org/pytorch3d/pytorch3d,2020-11-12 10:28:27.832000,5693.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n290,pyAudioAnalysis,tyiannak/pyAudioAnalysis,,audio,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13.000000,2021-01-13 06:14:39.000000,2021-01-04 18:37:38.000000,957,165.0,104.0,3691,675.0,\"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.\",23.0,25,True,2020-09-29 21:30:02.000000,0.3.6,15.0,pyAudioAnalysis,,,,,186.0,175.0,https://pypi.org/project/pyAudioAnalysis,2020-09-29 21:30:02.000000,11.0,5427.0,5427.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n291,BigDL,intel-analytics/BigDL,,distributed-ml,https://github.com/intel-analytics/BigDL,https://github.com/intel-analytics/BigDL,Apache-2.0,2016-08-29 07:59:50.000000,2021-01-05 05:59:41.000000,2020-12-23 08:33:44.000000,901,178.0,727.0,3690,2657.0,BigDL: Distributed Deep Learning Framework for Apache Spark.,71.0,25,True,2021-01-05 05:55:32.000000,0.12.1,37.0,bigdl,,,,,27.0,21.0,https://pypi.org/project/bigdl,2020-12-29 06:08:45.000000,6.0,1163.0,1163.0,,,,,,,,2.0,,,,,,,,,,,,,,,com.intel.analytics.bigdl:bigdl-SPARK_2.4,https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4,2020-12-05 03:54:47.000000,0.0,,,\n292,TensorFlowOnSpark,yahoo/TensorFlowOnSpark,,distributed-ml,https://github.com/yahoo/TensorFlowOnSpark,https://github.com/yahoo/TensorFlowOnSpark,Apache-2.0,2017-01-20 18:15:57.000000,2020-12-23 22:10:27.000000,2020-12-21 19:10:28.000000,928,6.0,336.0,3615,589.0,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,33.0,25,True,2020-12-18 21:57:51.000000,2.2.2,29.0,tensorflowonspark,,,,\"['tensorflow', 'spark']\",5.0,,https://pypi.org/project/tensorflowonspark,2020-12-18 18:32:09.000000,5.0,61549.0,61549.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n293,pyfolio,quantopian/pyfolio,,financial-data,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39.000000,2020-07-29 16:06:37.000000,2020-07-15 13:46:58.000000,1055,123.0,263.0,3404,1184.0,Portfolio and risk analytics in Python.,55.0,25,True,2019-04-15 14:54:03.000000,0.9.1,21.0,pyfolio,conda-forge/pyfolio,,,,244.0,190.0,https://pypi.org/project/pyfolio,2019-04-15 14:54:03.000000,54.0,6421.0,6576.0,https://anaconda.org/conda-forge/pyfolio,2020-05-16 14:11:57.267000,5434.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n294,espnet,espnet/espnet,,audio,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000000,2021-01-16 16:22:46.000000,2021-01-15 08:42:33.000000,1039,125.0,1029.0,3325,10500.0,End-to-End Speech Processing Toolkit.,137.0,25,True,2021-01-15 08:52:23.000000,0.9.7,32.0,espnet,,,,,4.0,4.0,https://pypi.org/project/espnet,2021-01-15 08:52:23.000000,0.0,1144.0,1145.0,,,,,,,,2.0,59.0,,,,,,,,,,,,,,,,,,,,\n295,ftfy,LuminosoInsight/python-ftfy,,nlp,https://github.com/LuminosoInsight/python-ftfy,https://github.com/LuminosoInsight/python-ftfy,MIT,2012-08-24 16:14:59.000000,2020-08-21 18:13:12.000000,2020-07-17 21:21:57.000000,98,15.0,92.0,2875,510.0,\"Fixes mojibake and other glitches in Unicode text, after the fact.\",17.0,25,True,2020-02-18 16:42:00.000000,5.6.1,41.0,ftfy,conda-forge/ftfy,,,,3377.0,2617.0,https://pypi.org/project/ftfy,2020-07-20 21:50:51.000000,760.0,249215.0,251296.0,https://anaconda.org/conda-forge/ftfy,2019-02-03 00:23:45.610000,93647.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n296,nevergrad,facebookresearch/nevergrad,,hyperopt,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000000,2021-01-16 15:04:08.000000,2021-01-15 13:05:23.000000,266,75.0,116.0,2793,747.0,A Python toolbox for performing gradient-free optimization.,42.0,25,True,2020-08-04 12:13:07.000000,0.4.2,25.0,nevergrad,conda-forge/nevergrad,,,,126.0,112.0,https://pypi.org/project/nevergrad,2020-12-10 15:37:29.000000,14.0,7185.0,7809.0,https://anaconda.org/conda-forge/nevergrad,2020-12-14 18:21:29.267000,5620.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n297,vaderSentiment,cjhutto/vaderSentiment,,nlp,https://github.com/cjhutto/vaderSentiment,https://github.com/cjhutto/vaderSentiment,MIT,2014-11-17 16:31:45.000000,2020-07-17 19:47:37.000000,2020-05-22 15:33:43.000000,715,24.0,74.0,2736,122.0,VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based..,10.0,25,True,2020-05-22 15:07:00.000000,3.3.2,15.0,vadersentiment,,,,,2488.0,2202.0,https://pypi.org/project/vadersentiment,2020-05-22 15:07:00.000000,286.0,101307.0,101307.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n298,DeepChem,deepchem/deepchem,,others,https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000000,2021-01-16 07:29:23.000000,2021-01-16 00:05:18.000000,899,333.0,842.0,2671,6030.0,\"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.\",144.0,25,True,2021-01-13 21:21:38.000000,2.4.0,196.0,deepchem,,,,['tensorflow'],39.0,35.0,https://pypi.org/project/deepchem,2021-01-16 00:07:49.000000,4.0,1454.0,1454.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n299,Neural Network Libraries,sony/nnabla,,ml-frameworks,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10.000000,2021-01-15 11:33:23.000000,2021-01-15 11:33:18.000000,303,35.0,18.0,2399,2359.0,Neural Network Libraries.,55.0,25,True,2020-12-24 02:44:34.000000,1.15.0,51.0,nnabla,,,,,34.0,,https://pypi.org/project/nnabla,2020-12-24 02:44:34.000000,34.0,2471.0,2483.0,,,,,,,,3.0,521.0,,,,,,,,,,,,,,,,,,,,\n300,Captum,pytorch/captum,,interpretability,https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000000,2021-01-17 01:17:42.000000,2021-01-06 02:07:01.000000,194,44.0,137.0,2064,778.0,Model interpretability and understanding for PyTorch.,66.0,25,True,2020-11-13 23:52:08.000000,0.3.0,4.0,captum,,,,['pytorch'],104.0,104.0,https://pypi.org/project/captum,2020-11-13 20:23:21.000000,,7747.0,7747.0,,,,,,,,2.0,,-1.0,,,,,,,,,,,,,,,,,,,\n301,TextDistance,life4/textdistance,,nlp,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10.000000,2021-01-11 12:19:04.000000,2020-04-13 10:34:26.000000,160,9.0,,1862,289.0,\"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..\",7.0,25,True,2020-04-13 10:17:59.000000,.4.2.0,20.0,textdistance,conda-forge/textdistance,,,,323.0,295.0,https://pypi.org/project/textdistance,2020-04-13 09:59:27.000000,28.0,91678.0,92222.0,https://anaconda.org/conda-forge/textdistance,2020-11-10 18:38:06.222000,17375.0,,,,,2.0,96.0,,,,,,,,,,,,,,,,,,,,\n302,spark-nlp,JohnSnowLabs/spark-nlp,,nlp,https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000000,2021-01-16 16:22:05.000000,2021-01-15 20:32:21.000000,394,72.0,329.0,1836,5813.0,State of the Art Natural Language Processing.,73.0,25,True,2021-01-08 22:59:02.000000,2.7.1,72.0,spark-nlp,,,,['spark'],0.0,,https://pypi.org/project/spark-nlp,2021-01-04 18:05:17.000000,0.0,367319.0,367319.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n303,facenet-pytorch,timesler/facenet-pytorch,,image,https://github.com/timesler/facenet-pytorch,https://github.com/timesler/facenet-pytorch,MIT,2019-05-25 01:29:24.000000,2020-11-19 06:56:24.000000,2020-11-19 06:56:23.000000,372,26.0,84.0,1766,229.0,Pretrained Pytorch face detection (MTCNN) and recognition (InceptionResnet) models.,11.0,25,True,2020-11-19 06:49:36.000000,2.5.1,30.0,facenet-pytorch,,,,['pytorch'],257.0,254.0,https://pypi.org/project/facenet-pytorch,2020-11-19 06:49:36.000000,3.0,3892.0,7650.0,,,,,,,,2.0,52615.0,,,,,,,,,,,,,,,,,,,,\n304,Foolbox,bethgelab/foolbox,,adversarial,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48.000000,2020-12-20 18:06:33.000000,2020-12-20 18:05:23.000000,314,41.0,263.0,1761,1637.0,\"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.\",30.0,25,True,2020-09-26 06:49:13.000000,3.2.1,66.0,foolbox,,,,,182.0,164.0,https://pypi.org/project/foolbox,2020-09-26 06:49:13.000000,18.0,970.0,970.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n305,StellarGraph,stellargraph/stellargraph,,graph,https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51.000000,2021-01-17 03:47:28.000000,2021-01-15 06:06:45.000000,247,211.0,697.0,1724,2515.0,StellarGraph - Machine Learning on Graphs.,28.0,25,True,2020-06-30 05:15:21.000000,1.2.1,25.0,stellargraph,,,,['tensorflow'],45.0,43.0,https://pypi.org/project/stellargraph,2020-06-25 09:38:56.000000,2.0,6190.0,6190.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n306,pytorch-optimizer,jettify/pytorch-optimizer,,pytorch-utils,https://github.com/jettify/pytorch-optimizer,https://github.com/jettify/pytorch-optimizer,Apache-2.0,2020-01-03 03:16:39.000000,2021-01-14 02:29:09.000000,2021-01-14 02:29:08.000000,153,10.0,23.0,1627,340.0,torch-optimizer -- collection of optimizers for Pytorch.,19.0,25,True,2021-01-01 16:51:15.000000,0.1.0,19.0,torch_optimizer,,,,['pytorch'],101.0,101.0,https://pypi.org/project/torch_optimizer,2021-01-01 16:51:15.000000,0.0,11329.0,11329.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n307,HyperTools,ContextLab/hypertools,,data-viz,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25.000000,2021-01-06 14:11:39.000000,2021-01-06 14:11:38.000000,151,69.0,122.0,1606,1591.0,A Python toolbox for gaining geometric insights into high-dimensional data.,21.0,25,True,2020-10-02 21:38:16.000000,0.6.3,19.0,hypertools,,,,,105.0,96.0,https://pypi.org/project/hypertools,2020-10-02 21:41:53.000000,9.0,181.0,181.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n308,causalml,uber/causalml,,others,https://github.com/uber/causalml,https://github.com/uber/causalml,Apache-2.0,2019-07-09 02:08:58.000000,2021-01-13 21:29:06.000000,2021-01-13 21:28:59.000000,239,19.0,127.0,1559,288.0,Uplift modeling and causal inference with machine learning algorithms.,22.0,25,True,2020-10-23 22:53:43.000000,0.9.0,12.0,causalml,,,,,11.0,11.0,https://pypi.org/project/causalml,2020-10-23 22:44:35.000000,,8299.0,8299.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n309,category_encoders,scikit-learn-contrib/category_encoders,,sklearn-utils,https://github.com/scikit-learn-contrib/category_encoders,https://github.com/scikit-learn-contrib/category_encoders,BSD-3-Clause,2015-11-29 19:32:37.000000,2020-11-10 15:17:22.000000,2020-07-31 10:43:44.000000,292,64.0,134.0,1554,671.0,A library of sklearn compatible categorical variable encoders.,34.0,25,True,2020-04-29 02:09:51.000000,2.2.2,19.0,category_encoders,conda-forge/category_encoders,,,['sklearn'],23.0,,https://pypi.org/project/category_encoders,2018-10-14 14:15:54.000000,23.0,192221.0,193913.0,https://anaconda.org/conda-forge/category_encoders,2020-04-29 22:37:35.948000,91413.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n310,swifter,jmcarpenter2/swifter,,data-containers,https://github.com/jmcarpenter2/swifter,https://github.com/jmcarpenter2/swifter,MIT,2018-04-07 21:37:19.000000,2020-12-19 19:11:45.000000,2020-12-19 19:11:44.000000,69,14.0,76.0,1506,423.0,A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner.,14.0,25,True,2020-10-11 22:42:57.000000,1.0.7,71.0,swifter,conda-forge/swifter,,,['pandas'],289.0,273.0,https://pypi.org/project/swifter,2020-10-11 22:42:57.000000,16.0,50219.0,53727.0,https://anaconda.org/conda-forge/swifter,2020-09-20 15:08:56.885000,73678.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n311,Pythran,serge-sans-paille/pythran,,others,https://github.com/serge-sans-paille/pythran,https://github.com/serge-sans-paille/pythran,BSD-3-Clause,2012-05-29 08:02:14.000000,2021-01-16 10:48:07.000000,2021-01-06 06:16:14.000000,134,99.0,538.0,1496,3309.0,Ahead of Time compiler for numeric kernels.,47.0,25,True,2020-12-09 20:06:55.000000,0.9.8,44.0,pythran,conda-forge/pythran,,,,61.0,48.0,https://pypi.org/project/pythran,2020-12-11 23:02:35.000000,13.0,4270.0,8058.0,https://anaconda.org/conda-forge/pythran,2020-12-15 13:25:04.645000,121226.0,,,,,2.0,,,,,,,,,,,,,,,,,,,pythran,python-pythran,\n312,streamparse,Parsely/streamparse,,data-pipelines,https://github.com/Parsely/streamparse,https://github.com/Parsely/streamparse,Apache-2.0,2014-05-02 20:33:50.000000,2020-12-18 18:44:04.000000,2020-12-18 18:43:59.000000,219,69.0,263.0,1427,1059.0,\"Run Python in Apache Storm topologies. Pythonic API, CLI tooling, and a topology DSL.\",40.0,25,True,2020-10-07 19:53:15.000000,4.0.0,47.0,streamparse,,,,,73.0,47.0,https://pypi.org/project/streamparse,2020-10-07 19:45:19.000000,26.0,1531.0,1531.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n313,chainercv,chainer/chainercv,,image,https://github.com/chainer/chainercv,https://github.com/chainer/chainercv,MIT,2017-02-13 04:15:10.000000,2020-02-03 01:27:17.000000,2020-01-07 11:48:31.000000,318,54.0,168.0,1422,4930.0,ChainerCV: a Library for Deep Learning in Computer Vision.,39.0,25,True,2019-06-12 11:55:02.000000,0.13.1,23.0,chainercv,,,,,239.0,215.0,https://pypi.org/project/chainercv,2019-05-31 08:53:39.000000,24.0,3252.0,3252.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n314,jellyfish,jamesturk/jellyfish,,nlp,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,BSD-2-Clause,2010-07-09 20:41:11.000000,2021-01-08 15:04:47.681000,2020-12-30 16:47:13.000000,119,9.0,86.0,1385,,a python library for doing approximate and phonetic matching of strings.,20.0,25,True,2020-05-21 20:37:01.000000,0.8.2,27.0,jellyfish,conda-forge/jellyfish,,,,2663.0,2017.0,https://pypi.org/project/jellyfish,2020-05-21 20:37:01.000000,646.0,738221.0,740272.0,https://anaconda.org/conda-forge/jellyfish,2021-01-08 15:04:47.681000,106652.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n315,Ax,facebook/Ax,,hyperopt,https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000000,2021-01-17 06:25:26.000000,2021-01-15 21:29:37.000000,140,35.0,177.0,1371,900.0,Adaptive Experimentation Platform.,91.0,25,True,2020-12-08 19:07:48.000000,0.1.19,20.0,ax-platform,,,,['pytorch'],125.0,121.0,https://pypi.org/project/ax-platform,2020-12-08 19:07:48.000000,4.0,14550.0,14550.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n316,mtcnn,ipazc/mtcnn,,image,https://github.com/ipazc/mtcnn,https://github.com/ipazc/mtcnn,MIT,2018-01-05 04:08:32.000000,2021-01-13 23:50:59.000000,2021-01-13 23:50:58.000000,373,53.0,36.0,1362,55.0,\"MTCNN face detection implementation for TensorFlow, as a PIP package.\",14.0,25,True,2019-11-14 17:37:05.000000,0.1.0,10.0,mtcnn,,,,['tensorflow'],858.0,816.0,https://pypi.org/project/mtcnn,2019-11-14 17:37:05.000000,42.0,12493.0,12493.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n317,dtreeviz,parrt/dtreeviz,,interpretability,https://github.com/parrt/dtreeviz,https://github.com/parrt/dtreeviz,MIT,2018-08-13 21:45:15.000000,2020-12-14 07:52:26.000000,2020-11-25 21:41:34.000000,182,14.0,66.0,1346,299.0,A python library for decision tree visualization and model interpretation.,13.0,25,True,2020-11-25 21:42:44.000000,1.1.3,20.0,dtreeviz,,,,,103.0,99.0,https://pypi.org/project/dtreeviz,2020-11-25 21:41:45.000000,4.0,12565.0,12565.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n318,TNT,pytorch/tnt,,ml-experiments,https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58.000000,2021-01-05 19:36:18.000000,2021-01-05 19:36:17.000000,185,30.0,34.0,1272,156.0,\"Simple tools for logging and visualizing, loading and training.\",35.0,25,True,2019-11-15 12:57:59.000000,0.0.5.1,3.0,torchnet,,,,['pytorch'],559.0,509.0,https://pypi.org/project/torchnet,2018-07-29 23:16:03.000000,50.0,9990.0,9990.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n319,haystack,deepset-ai/haystack,,nlp,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000000,2021-01-14 14:48:51.000000,2021-01-14 09:56:58.000000,224,57.0,358.0,1261,493.0,Transformers at scale for question answering & neural search. Using NLP via a modular Retriever-Reader-Pipeline...,29.0,25,True,2020-12-17 06:53:05.000000,0.6.0,34.0,haystack,,,,,99.0,25.0,https://pypi.org/project/haystack,2017-07-03 04:44:52.000000,74.0,2317.0,2317.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n320,ViZDoom,mwydmuch/ViZDoom,,reinforcement-learning,https://github.com/mwydmuch/ViZDoom,https://github.com/mwydmuch/ViZDoom,MIT,2015-06-26 18:38:23.000000,2021-01-16 11:04:32.000000,2021-01-16 11:04:12.000000,279,88.0,327.0,1153,1461.0,Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information.,43.0,25,True,2020-10-29 15:54:47.000000,1.1.8,19.0,vizdoom,,,,,112.0,100.0,https://pypi.org/project/vizdoom,2020-10-29 15:56:20.000000,12.0,390.0,568.0,,,,,,,,2.0,10365.0,,,,,,,,,,,,,,,,,,,,\n321,ArcGIS API,Esri/arcgis-python-api,,geospatial-data,https://github.com/Esri/arcgis-python-api,https://github.com/Esri/arcgis-python-api,Apache-2.0,2016-03-16 01:09:14.000000,2021-01-16 00:31:12.000000,2021-01-16 00:31:11.000000,677,125.0,194.0,940,2882.0,Documentation and samples for ArcGIS API for Python.,60.0,25,True,2020-12-15 21:49:37.000000,1.8.3,25.0,arcgis,,esridocker/arcgis-api-python-notebook,,,10.0,,https://pypi.org/project/arcgis,2020-11-30 16:13:47.000000,10.0,19150.0,19213.0,,,,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,2020-03-06 00:53:45.164342,29.0,3655.0,3.0,,,,,,,,,,,,,,,,,,,,,\n322,bcolz,Blosc/bcolz,,data-containers,https://github.com/Blosc/bcolz,https://github.com/Blosc/bcolz,BSD-3-Clause,2010-08-18 15:27:02.000000,2020-09-10 12:12:51.000000,2020-09-10 12:12:45.000000,115,126.0,120.0,907,1280.0,A columnar data container that can be compressed.,33.0,25,True,2018-04-13 07:44:26.000000,1.2.1,23.0,bcolz,conda-forge/bcolz,,,,2443.0,1475.0,https://pypi.org/project/bcolz,2018-04-13 07:44:26.000000,968.0,19294.0,23667.0,https://anaconda.org/conda-forge/bcolz,2019-11-05 21:09:48.045000,205576.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n323,empyrical,quantopian/empyrical,,financial-data,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52.000000,2020-10-14 13:28:13.625000,2020-10-14 13:22:39.000000,220,27.0,26.0,690,167.0,Common financial risk and performance metrics. Used by zipline and pyfolio.,22.0,25,True,2020-10-13 21:28:25.000000,0.5.5,20.0,empyrical,conda-forge/empyrical,,,,719.0,497.0,https://pypi.org/project/empyrical,2020-10-13 17:31:37.000000,222.0,26741.0,27000.0,https://anaconda.org/conda-forge/empyrical,2020-10-14 13:28:13.625000,9092.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n324,Satpy,pytroll/satpy,,geospatial-data,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000000,2021-01-15 18:12:32.000000,2021-01-07 02:54:17.000000,191,300.0,285.0,665,8124.0,Python package for earth-observing satellite data processing.,103.0,25,False,2021-01-07 03:03:07.000000,0.25.1,63.0,satpy,conda-forge/satpy,,,,43.0,37.0,https://pypi.org/project/satpy,2021-01-07 03:03:07.000000,6.0,339.0,2064.0,https://anaconda.org/conda-forge/satpy,2021-01-07 15:09:16.887000,51767.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n325,mahotas,luispedro/mahotas,,image,https://github.com/luispedro/mahotas,https://github.com/luispedro/mahotas,MIT,2010-01-31 00:13:06.000000,2021-01-13 11:55:15.000000,2021-01-13 11:55:02.000000,123,13.0,56.0,662,1276.0,Computer Vision in Python.,30.0,25,True,2020-06-11 11:35:18.000000,1.4.11,57.0,mahotas,conda-forge/mahotas,,,,742.0,552.0,https://pypi.org/project/mahotas,2020-08-16 17:22:48.000000,190.0,8313.0,12610.0,https://anaconda.org/conda-forge/mahotas,2020-11-01 16:34:04.486000,249257.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n326,tensorflow-upstream,ROCmSoftwarePlatform/tensorflow-upstream,,ml-frameworks,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,Apache-2.0,2018-04-09 21:24:50.000000,2021-01-15 03:29:36.000000,2021-01-14 00:30:54.000000,64,55.0,225.0,532,79524.0,TensorFlow ROCm port.,3505.0,25,True,2020-12-08 01:43:55.000000,2.4.0,58.0,tensorflow-rocm,,,,['tensorflow'],,,https://pypi.org/project/tensorflow-rocm,2020-12-22 02:51:55.000000,,2134.0,2134.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,,,\n327,TensorFlow I/O,tensorflow/io,,tensorflow-utils,https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05.000000,2021-01-16 08:56:25.000000,2021-01-14 16:37:43.000000,144,110.0,273.0,405,1336.0,\"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.\",72.0,25,True,2020-12-15 00:45:37.000000,0.17.0,21.0,tensorflow-io,,,,['tensorflow'],91.0,91.0,https://pypi.org/project/tensorflow-io,2020-12-15 00:42:35.000000,0.0,44324.0,44324.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n328,mpi4py,mpi4py/mpi4py,,distributed-ml,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-3-Clause,2013-09-05 14:44:25.000000,2021-01-17 12:35:04.000000,2021-01-17 12:35:02.000000,61,1.0,3.0,373,2194.0,Python bindings for MPI.,13.0,25,True,2020-07-27 06:40:19.000000,3.0.3,13.0,mpi4py,conda-forge/mpi4py,,,,700.0,,https://pypi.org/project/mpi4py,2019-11-04 13:05:10.000000,700.0,135330.0,145122.0,https://anaconda.org/conda-forge/mpi4py,2021-01-08 21:21:59.475000,503465.0,,,,,2.0,663.0,,,,,,,,,,,,,,,,,,,,\n329,python-soundfile,bastibe/python-soundfile,,audio,https://github.com/bastibe/python-soundfile,https://github.com/bastibe/python-soundfile,BSD-3-Clause,2013-08-27 13:36:52.000000,2021-01-13 07:52:51.000000,2020-12-01 18:42:47.000000,41,57.0,85.0,354,493.0,\"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.\",19.0,25,True,2019-12-04 10:03:39.000000,0.10.3post1,7.0,soundfile,,,,,6010.0,5270.0,https://pypi.org/project/soundfile,2018-04-19 07:13:19.000000,740.0,353416.0,353439.0,,,,,,,,2.0,1977.0,,,,,,,,,,,,,,,,,,,,\n330,hvPlot,holoviz/hvplot,,data-viz,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000000,2021-01-17 10:57:40.000000,2021-01-14 12:40:53.000000,49,96.0,220.0,333,366.0,\"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.\",22.0,25,True,2020-12-16 22:59:26.000000,0.7.0,9.0,hvplot,conda-forge/hvplot,,,,448.0,433.0,https://pypi.org/project/hvplot,2020-06-02 00:27:18.000000,15.0,32167.0,34162.0,https://anaconda.org/conda-forge/hvplot,2021-01-06 23:26:19.353000,57874.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n331,PaddleOCR,PaddlePaddle/PaddleOCR,,ocr,https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000000,2021-01-17 09:42:57.000000,2021-01-12 08:43:10.000000,1646,356.0,814.0,8403,,\"Awesome multilingual OCR toolkits based on PaddlePaddle practical ultra lightweight OCR system, provide data..\",41.0,24,True,2020-12-18 04:01:23.000000,2.0.2,10.0,paddleocr,,,,['paddle'],19.0,19.0,https://pypi.org/project/paddleocr,2020-12-18 04:01:23.000000,0.0,1559.0,1559.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n332,pysc2,deepmind/pysc2,,others,https://github.com/deepmind/pysc2,https://github.com/deepmind/pysc2,Apache-2.0,2017-07-25 18:16:57.000000,2020-07-29 16:22:31.000000,2019-09-27 15:23:22.000000,1061,49.0,203.0,7146,513.0,StarCraft II Learning Environment.,34.0,24,False,2019-09-27 15:48:01.000000,3.0.0,7.0,pysc2,,,,,238.0,218.0,https://pypi.org/project/pysc2,2019-09-27 15:48:01.000000,20.0,558.0,1178.0,,,,,,,,2.0,25448.0,,,,,,,,,,,,,,,,,,,,\n333,ParlAI,facebookresearch/ParlAI,,nlp,https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44.000000,2021-01-17 03:12:36.000000,2021-01-17 03:12:30.000000,1381,111.0,826.0,6914,3588.0,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,137.0,24,True,2020-12-16 23:15:51.000000,0.10.0,12.0,parlai,,,,['pytorch'],5.0,5.0,https://pypi.org/project/parlai,2020-12-16 23:15:51.000000,,674.0,674.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n334,PyText,facebookresearch/pytext,,nlp,https://github.com/facebookresearch/pytext,https://github.com/facebookresearch/pytext,BSD-3-Clause,2018-07-31 23:40:46.000000,2021-01-14 18:10:21.000000,2021-01-14 18:10:14.000000,759,115.0,74.0,6116,1348.0,A natural language modeling framework based on PyTorch.,148.0,24,True,2020-06-08 23:30:58.000000,0.3.3,12.0,pytext-nlp,,,,['pytorch'],59.0,58.0,https://pypi.org/project/pytext-nlp,2020-04-27 08:09:25.000000,1.0,219.0,227.0,,,,,,,,3.0,212.0,,,,,,,,,,,,,,,,,,,,\n335,stanza,stanfordnlp/stanza,,nlp,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56.000000,2021-01-16 18:54:49.000000,2021-01-12 04:32:19.000000,628,55.0,379.0,5109,1516.0,Official Stanford NLP Python Library for Many Human Languages.,28.0,24,True,2020-08-13 06:26:20.000000,1.1.1,9.0,stanza,stanfordnlp/stanza,,,,2.0,,https://pypi.org/project/stanza,2020-08-13 06:08:07.000000,2.0,11973.0,12272.0,https://anaconda.org/stanfordnlp/stanza,2020-08-13 06:22:54.550000,2993.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n336,Edward,blei-lab/edward,,probabilistics,https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05.000000,2019-10-22 20:30:48.000000,2018-07-25 01:28:08.000000,767,212.0,327.0,4593,1796.0,\"A probabilistic programming language in TensorFlow. Deep generative models, variational inference.\",87.0,24,False,2018-01-22 06:03:37.000000,1.3.5,28.0,edward,,,,['tensorflow'],241.0,204.0,https://pypi.org/project/edward,2018-01-22 06:03:05.000000,37.0,558.0,558.0,,,,,,,,3.0,10.0,,,,,,,,,,,,,,,,,,,,\n337,textgenrnn,minimaxir/textgenrnn,,nlp,https://github.com/minimaxir/textgenrnn,https://github.com/minimaxir/textgenrnn,MIT,2017-08-07 02:13:37.000000,2020-12-25 03:33:19.000000,2020-07-14 02:41:10.000000,654,107.0,79.0,4219,174.0,Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines..,19.0,24,True,2020-02-03 01:07:00.000000,2.0.0,14.0,textgenrnn,,,,['tensorflow'],598.0,584.0,https://pypi.org/project/textgenrnn,2020-02-02 21:16:15.000000,14.0,1614.0,1625.0,,,,,,,,3.0,388.0,,,,,,,,,,,,,,,,,,,,\n338,Lucid,tensorflow/lucid,,interpretability,https://github.com/tensorflow/lucid,https://github.com/tensorflow/lucid,Apache-2.0,2018-01-25 17:41:44.000000,2021-01-12 06:14:01.000000,2020-11-24 20:56:27.000000,553,67.0,93.0,4032,632.0,A collection of infrastructure and tools for research in neural network interpretability.,34.0,24,True,2019-01-17 19:46:43.000000,0.3.9-alpha,16.0,lucid,,,,['tensorflow'],408.0,402.0,https://pypi.org/project/lucid,2018-12-20 00:26:11.000000,6.0,511.0,511.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n339,Lasagne,Lasagne/Lasagne,,ml-frameworks,https://github.com/Lasagne/Lasagne,https://github.com/Lasagne/Lasagne,MIT,2014-09-11 15:31:41.000000,2019-11-20 20:28:31.000000,2019-11-20 20:28:30.000000,983,139.0,402.0,3773,1161.0,Lightweight library to build and train neural networks in Theano.,72.0,24,False,2015-08-13 21:00:09.000000,0.1,1.0,lasagne,,,,,1029.0,776.0,https://pypi.org/project/lasagne,2015-08-13 21:10:53.000000,253.0,1555.0,1555.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n340,torchdiffeq,rtqichen/torchdiffeq,,pytorch-utils,https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25.000000,2021-01-07 22:17:34.000000,2021-01-07 22:17:33.000000,571,11.0,108.0,3309,205.0,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,19.0,24,True,2020-09-16 23:32:05.000000,0.1.1,3.0,torchdiffeq,,,,['pytorch'],57.0,57.0,https://pypi.org/project/torchdiffeq,2020-09-16 23:32:05.000000,0.0,1857.0,1857.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n341,T5,google-research/text-to-text-transfer-transformer,,nlp,https://github.com/google-research/text-to-text-transfer-transformer,https://github.com/google-research/text-to-text-transfer-transformer,Apache-2.0,2019-10-17 21:45:14.000000,2021-01-15 14:34:30.000000,2021-01-15 14:34:18.000000,416,38.0,285.0,3126,400.0,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,28.0,24,True,2020-12-18 21:12:02.000000,0.8.1,25.0,t5,,,,['tensorflow'],20.0,20.0,https://pypi.org/project/t5,2020-12-18 21:12:02.000000,0.0,5695.0,5695.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n342,pytorch-summary,sksq96/pytorch-summary,,pytorch-utils,https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04.000000,2020-09-11 22:33:42.000000,2020-08-07 01:16:40.000000,339,100.0,36.0,2877,56.0,Model summary in PyTorch similar to `model.summary()` in Keras.,11.0,24,True,2018-09-26 05:07:28.000000,1.5.1,12.0,torchsummary,,,,['pytorch'],1884.0,1766.0,https://pypi.org/project/torchsummary,2018-09-26 05:07:28.000000,118.0,33447.0,33447.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n343,TensorForce,tensorforce/tensorforce,,reinforcement-learning,https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22.000000,2020-12-30 11:17:02.000000,2020-12-30 11:16:54.000000,472,8.0,538.0,2839,2011.0,Tensorforce: a TensorFlow library for applied reinforcement learning.,76.0,24,True,2020-10-03 16:00:39.000000,0.6.2,12.0,tensorforce,,,,['tensorflow'],23.0,,https://pypi.org/project/tensorforce,2019-09-07 13:56:18.000000,23.0,761.0,761.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n344,Chartify,spotify/chartify,,data-viz,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05.000000,2021-01-16 19:45:00.000000,2020-11-02 22:11:04.000000,248,40.0,30.0,2806,186.0,Python library that makes it easy for data scientists to create charts.,19.0,24,True,2020-11-02 22:14:08.000000,3.0.3,16.0,chartify,conda-forge/chartify,,,,57.0,52.0,https://pypi.org/project/chartify,2020-11-02 22:14:08.000000,5.0,4641.0,5092.0,https://anaconda.org/conda-forge/chartify,2020-11-07 19:52:50.628000,11733.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n345,Stable Baselines,hill-a/stable-baselines,,reinforcement-learning,https://github.com/hill-a/stable-baselines,https://github.com/hill-a/stable-baselines,MIT,2018-07-02 14:28:59.000000,2021-01-14 09:51:25.000000,2020-12-23 16:27:08.000000,560,119.0,710.0,2784,835.0,\"A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.\",110.0,24,True,2020-08-05 19:45:11.000000,2.10.1,30.0,stable-baselines,,,,,25.0,,https://pypi.org/project/stable-baselines,2020-08-05 19:42:14.000000,25.0,7931.0,7931.0,,,,,,,,2.0,,-1.0,,,,,,,,,,,,,,,,,,,\n346,PML,KevinMusgrave/pytorch-metric-learning,,pytorch-utils,https://github.com/KevinMusgrave/pytorch-metric-learning,https://github.com/KevinMusgrave/pytorch-metric-learning,MIT,2019-10-23 17:20:35.000000,2021-01-15 15:58:34.000000,2021-01-15 15:11:47.000000,356,32.0,172.0,2634,596.0,\"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.\",12.0,24,True,2021-01-12 14:49:11.000000,0.9.96,141.0,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,,['pytorch'],45.0,45.0,https://pypi.org/project/pytorch-metric-learning,2021-01-15 15:58:34.000000,0.0,3493.0,3584.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2021-01-12 15:47:14.797000,1103.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n347,DoWhy,Microsoft/dowhy,,interpretability,https://github.com/microsoft/dowhy,https://github.com/microsoft/dowhy,MIT,2018-05-31 13:07:04.000000,2020-12-24 16:07:22.000000,2020-12-24 16:07:21.000000,364,15.0,78.0,2598,418.0,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,37.0,24,True,2020-12-12 15:26:03.000000,0.5.1,5.0,dowhy,conda-forge/dowhy,,,,24.0,24.0,https://pypi.org/project/dowhy,2020-12-12 15:26:03.000000,,7887.0,8000.0,https://anaconda.org/conda-forge/dowhy,2020-12-13 07:46:12.761000,901.0,,,,,2.0,19.0,,,,,,,,,,,,,,,,,,,,\n348,Sumy,miso-belica/sumy,,nlp,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48.000000,2020-11-21 17:08:35.000000,2020-11-21 17:08:33.000000,434,10.0,78.0,2468,397.0,Module for automatic summarization of text documents and HTML pages.,20.0,24,True,2019-05-19 14:39:21.000000,0.8.1,13.0,sumy,,,,,825.0,633.0,https://pypi.org/project/sumy,2019-05-19 14:38:29.000000,192.0,5195.0,5195.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n349,einops,arogozhnikov/einops,,ml-frameworks,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08.000000,2021-01-09 20:03:22.000000,2021-01-09 20:03:21.000000,72,22.0,39.0,2168,293.0,\"Deep learning operations reinvented (for pytorch, tensorflow, jax and others).\",10.0,24,True,2020-09-08 08:33:29.000000,0.3,3.0,einops,conda-forge/einops,,,,204.0,194.0,https://pypi.org/project/einops,2020-09-08 08:21:26.000000,10.0,13634.0,13853.0,https://anaconda.org/conda-forge/einops,2020-10-15 20:10:19.681000,3513.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n350,Arctic,man-group/arctic,,data-containers,https://github.com/man-group/arctic,https://github.com/man-group/arctic,LGPL-2.1,2015-05-29 13:37:30.000000,2021-01-16 17:46:53.000000,2020-12-28 16:10:10.000000,428,84.0,421.0,2137,1066.0,Arctic is a high performance datastore for numeric data.,70.0,24,False,2020-12-01 23:17:26.000000,1.79.4,83.0,arctic,conda-forge/arctic,,,,143.0,101.0,https://pypi.org/project/arctic,2020-12-01 23:16:12.000000,42.0,2329.0,2940.0,https://anaconda.org/conda-forge/arctic,2019-12-16 08:57:24.231000,12203.0,,,,,3.0,85.0,,,,,,,,,,,,,,,,,,,,\n351,Hyperas,maxpumperla/hyperas,,hyperopt,https://github.com/maxpumperla/hyperas,https://github.com/maxpumperla/hyperas,MIT,2016-02-19 14:45:10.000000,2020-12-22 08:31:48.000000,2020-12-22 08:31:47.000000,296,88.0,158.0,2062,209.0,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,21.0,24,True,2019-02-28 09:16:54.000000,0.4.1,9.0,hyperas,,,,['tensorflow'],21.0,,https://pypi.org/project/hyperas,2019-02-28 09:16:54.000000,21.0,12090.0,12090.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n352,fastNLP,fastnlp/fastNLP,,nlp,https://github.com/fastnlp/fastNLP,https://github.com/fastnlp/fastNLP,Apache-2.0,2018-03-07 13:30:20.000000,2020-12-16 10:04:23.000000,2020-11-23 10:50:37.000000,351,16.0,127.0,1970,1706.0,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,48.0,24,True,2020-11-06 15:31:29.000000,0.6.0,10.0,fastnlp,,,,,22.0,21.0,https://pypi.org/project/fastnlp,2019-02-04 02:35:37.000000,1.0,929.0,931.0,,,,,,,,3.0,54.0,,,,,,,,,,,,,,,,,,,,\n353,SRU,asappresearch/sru,,pytorch-utils,https://github.com/asappresearch/sru,https://github.com/asappresearch/sru,MIT,2017-08-28 20:37:41.000000,2021-01-08 19:56:04.000000,2020-12-17 19:36:53.000000,279,48.0,53.0,1866,378.0,Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755).,21.0,24,True,2020-12-17 19:40:55.000000,2.6.0-rc1,21.0,sru,,,,['pytorch'],16.0,15.0,https://pypi.org/project/sru,2020-12-17 19:41:19.000000,1.0,1903.0,1903.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n354,python_speech_features,jameslyons/python_speech_features,,audio,https://github.com/jameslyons/python_speech_features,https://github.com/jameslyons/python_speech_features,MIT,2013-10-31 02:42:08.000000,2020-12-31 13:27:02.000000,2020-12-31 13:27:01.000000,535,23.0,49.0,1829,120.0,This library provides common speech features for ASR including MFCCs and filterbank energies.,18.0,24,True,2020-01-14 14:12:10.000000,0.6.1,6.0,python_speech_features,,,,,300.0,,https://pypi.org/project/python_speech_features,2017-08-16 01:46:13.000000,300.0,51720.0,51720.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n355,polyglot,aboSamoor/polyglot,,nlp,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,GPL-3.0,2014-06-30 02:07:45.000000,2020-10-27 10:55:53.000000,2020-09-22 22:35:28.000000,292,132.0,62.0,1749,271.0,Multilingual text (NLP) processing toolkit.,26.0,24,False,2016-07-03 20:05:42.000000,16.7.4,8.0,polyglot,,,,,488.0,423.0,https://pypi.org/project/polyglot,2016-07-03 20:05:42.000000,65.0,38748.0,38748.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n356,Alphalens,quantopian/alphalens,,financial-data,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15.000000,2020-09-05 16:48:14.000000,2020-04-27 18:40:41.000000,628,38.0,144.0,1715,522.0,Performance analysis of predictive (alpha) stock factors.,25.0,24,True,2020-04-30 15:42:52.000000,0.4.0,10.0,alphalens,conda-forge/alphalens,,,,361.0,347.0,https://pypi.org/project/alphalens,2020-04-27 21:03:10.000000,14.0,1974.0,2267.0,https://anaconda.org/conda-forge/alphalens,2020-05-16 13:52:44.922000,10276.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n357,pgmpy,pgmpy/pgmpy,,probabilistics,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000000,2021-01-10 12:14:51.000000,2021-01-10 12:14:38.000000,557,225.0,493.0,1676,6.0,Python Library for learning (Structure and Parameter) and inference (Statistical and Causal) in Bayesian Networks.,88.0,24,True,2020-12-30 13:56:53.000000,0.1.13,12.0,pgmpy,,,,,189.0,177.0,https://pypi.org/project/pgmpy,2020-12-30 13:01:04.000000,12.0,22642.0,22648.0,,,,,,,,3.0,48.0,,,,,,,,,,,,,,,,,,,,\n358,TorchServe,pytorch/serve,,model-serialisation,https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000000,2021-01-13 02:03:45.000000,2021-01-13 01:32:25.000000,217,130.0,397.0,1513,1049.0,Model Serving on PyTorch.,61.0,24,True,2020-12-18 01:38:41.000000,0.3.0,6.0,torchserve,pytorch/torchserve,pytorch/torchserve,,['pytorch'],26.0,26.0,https://pypi.org/project/torchserve,2020-12-17 19:04:04.000000,,1671.0,5683.0,https://anaconda.org/pytorch/torchserve,2020-12-17 18:30:12.593000,5988.0,https://hub.docker.com/r/pytorch/torchserve,2020-12-18 18:32:51.570336,3.0,49920.0,2.0,171.0,,,,,,,,,,,,,,,,,,,,\n359,Elephas,maxpumperla/elephas,,distributed-ml,https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19.000000,2021-01-15 01:03:38.000000,2021-01-15 01:03:33.000000,286,39.0,96.0,1436,415.0,Distributed Deep learning with Keras & Spark.,26.0,24,True,2021-01-14 23:34:59.000000,1.0.0,12.0,elephas,,,,\"['keras', 'spark']\",39.0,36.0,https://pypi.org/project/elephas,2021-01-14 00:29:00.000000,3.0,7482.0,7482.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n360,PyTextRank,DerwenAI/pytextrank,,nlp,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000000,2020-11-18 14:09:32.000000,2020-09-21 19:22:46.000000,291,17.0,37.0,1389,147.0,Python implementation of TextRank for phrase extraction and summarization of text documents.,10.0,24,True,2020-09-15 16:51:59.000000,2.0.3,10.0,pytextrank,,,,,126.0,120.0,https://pypi.org/project/pytextrank,2020-09-15 16:51:59.000000,6.0,11235.0,11235.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n361,IB-insync,erdewit/ib_insync,,financial-data,https://github.com/erdewit/ib_insync,https://github.com/erdewit/ib_insync,BSD-2-Clause,2017-07-12 12:09:24.000000,2021-01-12 09:49:43.000000,2021-01-12 09:49:36.000000,376,3.0,279.0,1197,547.0,Python sync/async framework for Interactive Brokers API.,25.0,24,True,2020-11-03 13:37:57.000000,0.9.64,89.0,ib_insync,conda-forge/ib-insync,,,,12.0,,https://pypi.org/project/ib_insync,2020-11-03 13:37:57.000000,12.0,2859.0,3253.0,https://anaconda.org/conda-forge/ib-insync,2020-11-07 23:30:42.910000,7102.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n362,Fairness 360,Trusted-AI/AIF360,,interpretability,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15.000000,2021-01-11 17:41:06.000000,2021-01-08 22:35:09.000000,382,35.0,46.0,1191,290.0,\"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..\",40.0,24,True,2020-06-02 22:59:53.000000,0.3.0,8.0,aif360,,,,,64.0,62.0,https://pypi.org/project/aif360,2020-06-02 22:49:24.000000,2.0,2385.0,2385.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n363,petastorm,uber/petastorm,,distributed-ml,https://github.com/uber/petastorm,https://github.com/uber/petastorm,Apache-2.0,2018-06-15 23:15:29.000000,2021-01-15 23:27:34.000000,2020-12-15 18:18:41.000000,176,121.0,110.0,1044,612.0,Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets..,37.0,24,True,2020-12-15 18:37:49.000000,0.9.8,64.0,petastorm,,,,,24.0,24.0,https://pypi.org/project/petastorm,2020-12-15 18:37:49.000000,,25415.0,25424.0,,,,,,,,3.0,288.0,,,,,,,,,,,,,,,,,,,,\n364,TabPy,tableau/TabPy,,others,https://github.com/tableau/TabPy,https://github.com/tableau/TabPy,MIT,2016-09-27 21:26:03.000000,2021-01-15 00:34:20.000000,2020-11-11 19:10:12.000000,374,9.0,244.0,1012,818.0,Execute Python code on the fly and display results in Tableau visualizations:.,38.0,24,True,2020-11-11 19:06:41.000000,2.3.1,24.0,tabpy,,,,,43.0,43.0,https://pypi.org/project/tabpy,2020-11-11 19:06:41.000000,,1817.0,1817.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n365,Streamz,python-streamz/streamz,,time-series-data,https://github.com/python-streamz/streamz,https://github.com/python-streamz/streamz,BSD-3-Clause,2017-04-04 21:45:49.000000,2021-01-15 14:38:35.032000,2021-01-14 20:46:26.000000,112,89.0,127.0,897,733.0,Real-time stream processing for python.,38.0,24,True,2020-11-02 14:53:29.000000,0.6.1,14.0,streamz,conda-forge/streamz,,,,200.0,184.0,https://pypi.org/project/streamz,2020-11-02 14:53:29.000000,16.0,1919.0,4566.0,https://anaconda.org/conda-forge/streamz,2021-01-15 14:38:35.032000,105895.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n366,PySAL,pysal/pysal,,geospatial-data,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42.000000,2021-01-12 22:18:28.000000,2021-01-12 22:18:27.000000,241,58.0,570.0,810,4071.0,PySAL: Python Spatial Analysis Library Meta-Package.,70.0,24,True,2020-07-30 03:12:31.000000,2.3.0,24.0,pysal,conda-forge/pysal,,,,18.0,,https://pypi.org/project/pysal,2020-07-30 03:12:31.000000,18.0,9885.0,17210.0,https://anaconda.org/conda-forge/pysal,2020-07-30 10:24:58.290000,395563.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n367,kmodes,nicodv/kmodes,,others,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40.000000,2020-11-04 05:52:59.000000,2020-11-04 05:52:58.000000,336,19.0,106.0,799,448.0,\"Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data.\",16.0,24,True,2020-02-25 21:38:29.000000,0.10.2,12.0,kmodes,,,,,426.0,413.0,https://pypi.org/project/kmodes,2020-02-25 21:30:28.000000,13.0,48682.0,48682.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n368,ffn,pmorissette/ffn,,financial-data,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09.000000,2021-01-16 23:49:23.000000,2021-01-16 23:49:22.000000,173,15.0,62.0,745,306.0,ffn - a financial function library for Python.,23.0,24,True,2018-05-28 14:01:56.000000,0.3.4,25.0,ffn,,,,,112.0,96.0,https://pypi.org/project/ffn,2018-05-28 14:01:56.000000,16.0,10784.0,10784.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n369,ktrain,amaiya/ktrain,,ml-frameworks,https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39.000000,2021-01-09 02:06:16.000000,2020-12-26 22:34:52.000000,170,9.0,284.0,715,2137.0,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,12.0,24,True,2020-12-23 23:20:12.000000,0.25.3,145.0,ktrain,,,,['tensorflow'],112.0,111.0,https://pypi.org/project/ktrain,2020-12-05 17:43:35.000000,1.0,5394.0,5394.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n370,PennyLane,PennyLaneAI/PennyLane,,others,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000000,2021-01-17 14:34:52.000000,2021-01-13 06:50:41.000000,208,50.0,223.0,705,1749.0,PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum..,39.0,24,True,2020-12-22 16:10:22.000000,0.13.0-post2,18.0,pennylane,,,,,20.0,,https://pypi.org/project/pennylane,2020-11-27 18:07:34.000000,20.0,1888.0,1890.0,,,,,,,,2.0,52.0,,,,,,,,,,,,,,,,,,,,\n371,GPyOpt,SheffieldML/GPyOpt,,hyperopt,https://github.com/SheffieldML/GPyOpt,https://github.com/SheffieldML/GPyOpt,BSD-3-Clause,2014-08-13 09:58:25.000000,2020-11-17 10:32:02.000000,2020-11-05 15:16:04.000000,217,100.0,186.0,703,514.0,Gaussian Process Optimization using GPy.,49.0,24,True,2020-03-19 21:21:18.000000,1.2.6,11.0,gpyopt,,,,,201.0,165.0,https://pypi.org/project/gpyopt,2020-03-19 11:37:45.000000,36.0,3945.0,3945.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n372,pythreejs,jupyter-widgets/pythreejs,,data-viz,https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,BSD-3-Clause,2013-12-23 17:02:11.000000,2021-01-07 12:54:00.000000,2020-10-09 09:41:09.000000,156,60.0,137.0,694,1594.0,A Jupyter - Three.js bridge.,24.0,24,True,2020-03-19 11:32:37.000000,2.2.1,42.0,pythreejs,conda-forge/pythreejs,,,['jupyter'],36.0,15.0,https://pypi.org/project/pythreejs,2020-10-09 09:40:47.000000,13.0,5399.0,14256.0,https://anaconda.org/conda-forge/pythreejs,2020-10-12 12:24:08.446000,258438.0,,,,,3.0,,,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,2020-03-19 11:22:13.041000,8.0,4243.0,,,,,,,,,,,,,\n373,CLTK,cltk/cltk,,nlp,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000000,2021-01-09 23:56:41.000000,2021-01-09 23:56:40.000000,297,125.0,357.0,627,2771.0,The Classical Language Toolkit.,107.0,24,True,2020-06-22 06:03:33.000000,0.1.121,160.0,cltk,,,,,216.0,148.0,https://pypi.org/project/cltk,2021-01-01 18:03:05.000000,68.0,1078.0,1078.0,,,,,,,,3.0,22.0,,,,,,,,,,,,,,,,,,,,\n374,pyjanitor,ericmjl/pyjanitor,,others,https://github.com/ericmjl/pyjanitor,https://github.com/ericmjl/pyjanitor,MIT,2018-03-04 22:43:33.000000,2021-01-17 11:47:33.000000,2020-12-31 02:32:49.000000,118,90.0,278.0,616,1162.0,Clean APIs for data cleaning. Python implementation of R package Janitor.,87.0,24,True,2020-10-03 12:24:35.000000,0.20.10,46.0,pyjanitor,conda-forge/pyjanitor,,,,74.0,72.0,https://pypi.org/project/pyjanitor,2020-10-03 12:24:35.000000,2.0,1449.0,3702.0,https://anaconda.org/conda-forge/pyjanitor,2020-10-04 12:30:53.707000,76622.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n375,Hub,activeloopai/Hub,,ml-experiments,https://github.com/activeloopai/Hub,https://github.com/activeloopai/Hub,MPL-2.0,2018-03-16 17:41:09.422000,2021-01-17 06:30:22.000000,2021-01-17 06:30:22.000000,111,86.0,96.0,611,1443.0,The fastest way to access and manage datasets for PyTorch and TensorFlow. Easily build scalable data pipelines...,49.0,24,True,2021-01-15 15:42:04.000000,1.1.3,78.0,hub,conda-forge/hub,,,,166.0,114.0,https://pypi.org/project/hub,2021-01-15 15:42:04.000000,52.0,1272.0,4001.0,https://anaconda.org/conda-forge/hub,2020-04-22 15:22:17.632000,92802.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n376,pyahocorasick,WojciechMula/pyahocorasick,,nlp,https://github.com/WojciechMula/pyahocorasick,https://github.com/WojciechMula/pyahocorasick,BSD-3-Clause,2013-05-30 19:55:46.000000,2021-01-12 22:10:37.000000,2021-01-12 19:08:10.000000,86,31.0,65.0,568,397.0,Python module (C extension and plain python) implementing Aho-Corasick algorithm.,20.0,24,True,2018-12-20 19:06:01.000000,1.4.0,22.0,pyahocorasick,conda-forge/pyahocorasick,,,,536.0,472.0,https://pypi.org/project/pyahocorasick,2019-01-14 16:20:13.000000,64.0,89458.0,92340.0,https://anaconda.org/conda-forge/pyahocorasick,2020-10-13 12:20:05.350000,106659.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n377,Intake,intake/intake,,data-loading,https://github.com/intake/intake,https://github.com/intake/intake,BSD-2-Clause,2017-08-14 20:44:22.000000,2021-01-15 18:15:37.000000,2021-01-15 18:15:36.000000,91,75.0,189.0,518,1621.0,\"Intake is a lightweight package for finding, investigating, loading and disseminating data.\",51.0,24,True,2020-06-03 19:03:40.000000,0.6.0,19.0,intake,conda-forge/intake,,,,290.0,216.0,https://pypi.org/project/intake,2020-06-03 19:03:40.000000,74.0,2407.0,4530.0,https://anaconda.org/conda-forge/intake,2020-06-03 19:49:52.133000,55207.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n378,combo,yzhao062/combo,,sklearn-utils,https://github.com/yzhao062/combo,https://github.com/yzhao062/combo,BSD-2-Clause,2019-07-14 01:13:36.000000,2020-12-23 14:27:11.000000,2020-12-23 14:27:05.000000,80,7.0,3.0,471,201.0,A Python Toolbox for Machine Learning Model Combination.,1.0,24,True,2020-12-23 02:21:49.000000,0.1.2,12.0,combo,,,,\"['sklearn', 'xgboost']\",251.0,251.0,https://pypi.org/project/combo,2020-12-23 02:21:49.000000,0.0,78003.0,78003.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n379,SALib,SALib/SALib,,probabilistics,https://github.com/SALib/SALib,https://github.com/SALib/SALib,MIT,2013-05-30 13:38:10.000000,2021-01-14 16:50:11.000000,2020-11-12 15:10:34.000000,136,41.0,179.0,422,907.0,\"Sensitivity Analysis Library in Python (Numpy). Contains Sobol, Morris, Fractional Factorial and FAST methods.\",23.0,24,True,2020-11-12 17:13:12.000000,1.3.12,29.0,salib,conda-forge/salib,,,,44.0,,https://pypi.org/project/salib,2020-11-19 15:36:26.000000,44.0,11752.0,12883.0,https://anaconda.org/conda-forge/salib,2020-10-24 17:04:41.614000,56552.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n380,findspark,minrk/findspark,,others,https://github.com/minrk/findspark,https://github.com/minrk/findspark,BSD-3-Clause,2015-06-12 21:34:06.000000,2020-06-08 09:32:35.000000,2020-06-08 09:31:58.000000,64,11.0,8.0,384,67.0,Find pyspark to make it importable.,14.0,24,True,2020-06-08 09:32:23.000000,1.4.2,12.0,findspark,conda-forge/findspark,,,['spark'],1656.0,1454.0,https://pypi.org/project/findspark,2020-06-08 09:32:23.000000,202.0,534183.0,542895.0,https://anaconda.org/conda-forge/findspark,2018-07-06 12:57:33.438000,479160.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n381,sklearn-crfsuite,TeamHG-Memex/sklearn-crfsuite,,sklearn-utils,https://github.com/TeamHG-Memex/sklearn-crfsuite,https://github.com/TeamHG-Memex/sklearn-crfsuite,MIT,2015-11-26 21:15:41.000000,2020-12-30 08:00:27.000000,2019-12-05 08:17:22.000000,153,34.0,20.0,356,46.0,scikit-learn inspired API for CRFsuite.,6.0,24,False,2017-06-22 18:49:27.000000,0.3.6,9.0,sklearn-crfsuite,,,,['sklearn'],2781.0,2385.0,https://pypi.org/project/sklearn-crfsuite,2017-06-22 18:49:27.000000,396.0,35945.0,35945.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n382,GeoViews,holoviz/geoviews,,geospatial-data,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000000,2020-11-13 20:59:34.000000,2020-09-21 16:31:16.000000,60,77.0,169.0,326,635.0,\"Simple, concise geographical visualization in Python.\",21.0,24,True,2020-09-23 18:59:07.000000,1.8.0,21.0,geoviews,conda-forge/geoviews,,,,200.0,190.0,https://pypi.org/project/geoviews,2020-03-30 19:17:21.000000,10.0,1154.0,2741.0,https://anaconda.org/conda-forge/geoviews,2020-09-23 20:06:48.808000,53989.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n383,ml-metadata,google/ml-metadata,,ml-experiments,https://github.com/google/ml-metadata,https://github.com/google/ml-metadata,Apache-2.0,2019-01-15 21:02:09.000000,2021-01-14 01:59:08.000000,2021-01-14 01:59:03.000000,56,15.0,39.0,255,452.0,For recording and retrieving metadata associated with ML developer and data scientist workflows.,11.0,24,True,2020-12-15 18:49:42.000000,0.26.0,21.0,ml-metadata,,,,,63.0,63.0,https://pypi.org/project/ml-metadata,2020-12-15 18:49:42.000000,0.0,225320.0,225374.0,,,,,,,,2.0,1190.0,,,,,,,,,,,,,,,,,,,,\n384,datalad,datalad/datalad,,others,https://github.com/datalad/datalad,https://github.com/datalad/datalad,MIT,2013-11-01 19:40:08.000000,2021-01-17 12:44:00.000000,2021-01-16 14:35:45.000000,68,711.0,2181.0,220,13280.0,\"Keep code, data, containers under control with git and git-annex.\",40.0,24,True,2021-01-04 16:19:04.000000,0.13.7,62.0,datalad,conda-forge/datalad,,,,26.0,,https://pypi.org/project/datalad,2020-12-14 16:07:46.000000,26.0,1201.0,3455.0,https://anaconda.org/conda-forge/datalad,2021-01-04 20:08:46.439000,76662.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n385,Facets Overview,pair-code/facets,,data-viz,https://github.com/PAIR-code/facets,https://github.com/PAIR-code/facets,Apache-2.0,2017-07-07 14:03:03.000000,2020-10-27 19:51:23.000000,2020-10-27 19:51:22.000000,790,72.0,75.0,6476,259.0,Visualizations for machine learning datasets.,27.0,23,True,2019-07-24 15:33:29.000000,0.9.1,4.0,facets-overview,,,,['jupyter'],37.0,37.0,https://pypi.org/project/facets-overview,2019-07-24 15:33:29.000000,,29257.0,29257.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n386,Ciphey,Ciphey/Ciphey,,nlp,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39.000000,2021-01-06 02:13:57.000000,2021-01-02 23:37:52.000000,340,47.0,170.0,6124,1726.0,\"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.\",38.0,23,True,2020-12-02 12:36:44.000000,5.11.0,43.0,ciphey,,remnux/ciphey,,,,,https://pypi.org/project/ciphey,2020-12-02 12:36:44.000000,,4068.0,4475.0,,,,https://hub.docker.com/r/remnux/ciphey,2020-12-17 02:51:41.340501,1.0,7333.0,3.0,,,,,,,,,,,,,,,,,,,,,\n387,EfficientNet-PyTorch,lukemelas/EfficientNet-PyTorch,,pytorch-utils,https://github.com/lukemelas/EfficientNet-PyTorch,https://github.com/lukemelas/EfficientNet-PyTorch,Apache-2.0,2019-05-30 05:24:11.000000,2020-12-28 15:43:30.000000,2020-10-09 16:24:04.000000,1041,103.0,117.0,5340,141.0,A PyTorch implementation of EfficientNet.,21.0,23,True,2020-08-26 03:00:05.000000,0.7.0,12.0,efficientnet-pytorch,,,,['pytorch'],7.0,,https://pypi.org/project/efficientnet-pytorch,2020-08-26 03:00:05.000000,7.0,29786.0,59143.0,,,,,,,,2.0,293575.0,,,,,,,,,,,,,,,,,,,,\n388,snownlp,isnowfy/snownlp,,chinese-nlp,https://github.com/isnowfy/snownlp,https://github.com/isnowfy/snownlp,MIT,2013-11-26 11:46:56.000000,2020-01-19 02:39:05.000000,2020-01-19 02:39:03.000000,1233,33.0,65.0,5235,57.0,Python library for processing Chinese text.,8.0,23,True,2015-09-27 16:35:23.000000,0.12.3,17.0,snownlp,,,,,541.0,503.0,https://pypi.org/project/snownlp,2015-09-27 16:35:23.000000,38.0,3422.0,3422.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n389,Apex,NVIDIA/apex,,gpu-utilities,https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000000,2021-01-15 23:24:55.000000,2020-12-17 17:18:43.000000,656,425.0,360.0,4952,828.0,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,77.0,23,True,,,1.0,,conda-forge/nvidia-apex,,,['pytorch'],421.0,421.0,,,,,1919.0,https://anaconda.org/conda-forge/nvidia-apex,2020-11-23 18:41:00.769000,28787.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n390,Face Alignment,1adrianb/face-alignment,,image,https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44.000000,2020-12-30 17:11:07.000000,2020-12-30 17:11:06.000000,1002,30.0,189.0,4611,196.0,2D and 3D Face alignment library build using pytorch.,21.0,23,True,2020-12-22 21:34:55.000000,1.3.3,9.0,face-alignment,,,,['pytorch'],6.0,,https://pypi.org/project/face-alignment,2020-12-22 21:34:55.000000,6.0,4668.0,4668.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n391,flashtext,vi3k6i5/flashtext,,nlp,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01.000000,2020-06-05 00:37:46.000000,2020-05-03 07:13:22.000000,521,48.0,49.0,4608,108.0,Extract Keywords from sentence or Replace keywords in sentences.,8.0,23,True,,,18.0,flashtext,,,,,370.0,338.0,https://pypi.org/project/flashtext,2018-02-16 05:24:17.000000,32.0,220836.0,220836.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n392,PaddleHub,PaddlePaddle/PaddleHub,,others,https://github.com/PaddlePaddle/PaddleHub,https://github.com/PaddlePaddle/PaddleHub,Apache-2.0,2018-12-21 06:00:48.000000,2021-01-13 09:49:59.000000,2021-01-13 09:49:58.000000,989,263.0,376.0,4426,,\"Awesome pre-trained models toolkit based on PaddlePaddle.180+ models including Image, Text, Audio and Video with Easy..\",32.0,23,True,2021-01-06 12:04:54.000000,2.0.0-rc0,39.0,paddlehub,,,,['paddle'],78.0,78.0,https://pypi.org/project/paddlehub,2021-01-06 11:57:01.000000,0.0,1589.0,1608.0,,,,,,,,3.0,434.0,,,,,,,,,,,,,,,,,,,,\n393,DeepSpeed,microsoft/DeepSpeed,,distributed-ml,https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,MIT,2020-01-23 18:35:18.000000,2021-01-16 14:31:54.000000,2021-01-15 17:25:46.000000,361,120.0,153.0,3941,400.0,\"DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.\",38.0,23,True,2021-01-12 18:17:34.000000,0.3.10,18.0,deepspeed,,deepspeed/deepspeed,,['pytorch'],8.0,8.0,https://pypi.org/project/deepspeed,2021-01-08 21:03:38.000000,,1429.0,1983.0,,,,https://hub.docker.com/r/deepspeed/deepspeed,2020-11-20 00:17:12.819964,2.0,6658.0,3.0,,,,,,,,,,,,,,,,,,,,,\n394,Great Expectations,great-expectations/great_expectations,,data-pipelines,https://github.com/great-expectations/great_expectations,https://github.com/great-expectations/great_expectations,Apache-2.0,2017-09-11 00:18:46.000000,2021-01-17 05:17:38.000000,2021-01-16 03:06:09.000000,380,161.0,590.0,3426,,Always know what to expect from your data.,138.0,23,True,2020-12-23 01:56:12.000000,0.13.4,95.0,great_expectations,,,,,6.0,,https://pypi.org/project/great_expectations,2020-12-23 01:50:41.000000,6.0,343816.0,343816.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n395,VisualDL,PaddlePaddle/VisualDL,,ml-experiments,https://github.com/PaddlePaddle/VisualDL,https://github.com/PaddlePaddle/VisualDL,Apache-2.0,2017-12-20 12:34:31.000000,2021-01-15 08:59:56.000000,2021-01-15 08:59:28.000000,438,23.0,312.0,3191,,Deep Learning Visualization Toolkit.,28.0,23,True,2020-12-29 13:20:08.000000,2.1.0,30.0,visualdl,,,,['paddle'],145.0,135.0,https://pypi.org/project/visualdl,2020-12-29 09:00:11.000000,10.0,4786.0,4795.0,,,,,,,,3.0,65.0,,,,,,,,,,,,,,,,,,,,\n396,PyAlgoTrade,gbeced/pyalgotrade,,financial-data,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54.000000,2020-12-24 18:41:56.000000,2018-08-21 02:42:52.000000,1139,38.0,81.0,3126,1156.0,Python Algorithmic Trading Library.,11.0,23,False,,,8.0,pyalgotrade,,,,,88.0,67.0,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25.000000,21.0,689.0,689.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n397,TensorWatch,microsoft/tensorwatch,,ml-experiments,https://github.com/microsoft/tensorwatch,https://github.com/microsoft/tensorwatch,MIT,2019-05-15 08:29:34.000000,2021-01-15 19:46:06.000000,2021-01-15 19:46:05.000000,308,49.0,14.0,3003,112.0,\"Debugging, monitoring and visualization for Python Machine Learning and Data Science.\",13.0,23,True,2020-03-04 07:26:22.000000,0.9.1,14.0,tensorwatch,,,,,51.0,45.0,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22.000000,6.0,9849.0,9849.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n398,Camelot,atlanhq/camelot,,data-loading,https://github.com/atlanhq/camelot,https://github.com/atlanhq/camelot,MIT,2016-06-18 11:48:49.000000,2020-07-27 12:28:15.000000,2019-10-15 05:25:40.000000,301,61.0,273.0,2963,446.0,Camelot: PDF Table Extraction for Humans.,23.0,23,False,2020-07-27 12:28:15.000000,0.8.2,21.0,camelot-py,,,,,10.0,,https://pypi.org/project/camelot-py,2020-07-27 12:28:15.000000,10.0,20595.0,20595.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n399,segmentation_models,qubvel/segmentation_models,,image,https://github.com/qubvel/segmentation_models,https://github.com/qubvel/segmentation_models,MIT,2018-06-05 13:27:56.000000,2020-12-13 13:48:40.000000,2020-04-17 09:51:20.000000,664,141.0,236.0,2871,204.0,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,14.0,23,True,2020-01-10 11:36:02.000000,1.0.1,8.0,segmentation_models,,,,['tensorflow'],12.0,,https://pypi.org/project/segmentation_models,2020-01-10 11:36:02.000000,12.0,13077.0,13077.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n400,xLearn,aksnzhy/xlearn,,ml-frameworks,https://github.com/aksnzhy/xlearn,https://github.com/aksnzhy/xlearn,Apache-2.0,2017-06-10 08:09:31.000000,2020-07-06 19:54:25.000000,2020-03-03 10:12:35.000000,481,177.0,107.0,2823,1340.0,\"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..\",30.0,23,True,2019-04-25 02:10:05.000000,0.4.4,15.0,xlearn,,,,,40.0,39.0,https://pypi.org/project/xlearn,2018-12-04 11:05:06.000000,1.0,6546.0,6612.0,,,,,,,,3.0,2245.0,,,,,,,,,,,,,,,,,,,,\n401,SHOGUN,shogun-toolbox/shogun,,ml-frameworks,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32.000000,2021-01-07 15:32:58.000000,2020-12-08 16:56:38.000000,1014,544.0,1067.0,2784,16205.0,Unified and efficient Machine Learning.,248.0,23,True,2019-07-05 10:23:31.000000,shogun_6.1.4,10.0,,conda-forge/shogun,shogun/shogun,,,,,,,,,2146.0,https://anaconda.org/conda-forge/shogun,2018-06-25 20:49:17.070000,89651.0,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1440.0,3.0,,,,,,,,,,shogun,,,,,,,,,,,\n402,keras-vis,raghakot/keras-vis,,interpretability,https://github.com/raghakot/keras-vis,https://github.com/raghakot/keras-vis,MIT,2016-11-11 23:27:34.000000,2020-04-20 01:03:13.000000,2020-04-20 01:03:12.000000,583,113.0,99.0,2772,195.0,Neural network visualization toolkit for keras.,10.0,23,True,2017-07-06 04:55:04.000000,0.4.1,11.0,keras-vis,,,,['tensorflow'],682.0,654.0,https://pypi.org/project/keras-vis,2017-07-06 04:55:04.000000,28.0,2041.0,2041.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n403,MMLSpark,Azure/mmlspark,,distributed-ml,https://github.com/Azure/mmlspark,https://github.com/Azure/mmlspark,MIT,2017-06-05 08:23:44.000000,2021-01-13 21:32:58.000000,2021-01-09 00:55:27.000000,468,171.0,212.0,2228,767.0,Microsoft Machine Learning for Apache Spark.,61.0,23,True,2020-10-02 19:36:01.000000,1.0.0-rc3,17.0,mmlspark,,,,['spark'],,,https://pypi.org/project/mmlspark,2020-03-18 01:27:31.000000,,25788.0,25788.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n404,neuralcoref,huggingface/neuralcoref,,nlp,https://github.com/huggingface/neuralcoref,https://github.com/huggingface/neuralcoref,MIT,2017-07-03 13:04:16.000000,2020-12-29 21:22:55.000000,2020-12-29 21:22:53.000000,380,41.0,215.0,2171,113.0,Fast Coreference Resolution in spaCy with Neural Networks.,20.0,23,True,2019-04-08 11:28:27.000000,4.0.0,5.0,neuralcoref,conda-forge/neuralcoref,,,,293.0,275.0,https://pypi.org/project/neuralcoref,2019-04-08 08:53:12.000000,18.0,2830.0,3347.0,https://anaconda.org/conda-forge/neuralcoref,2020-02-21 22:10:40.453000,5664.0,,,,,3.0,161.0,,,,,,,,,,,,,,,,,,,,\n405,ClearML,allegroai/clearml,,ml-experiments,https://github.com/allegroai/clearml,https://github.com/allegroai/clearml,Apache-2.0,2019-06-10 08:18:32.000000,2021-01-13 12:56:36.000000,2021-01-13 12:45:28.000000,298,93.0,185.0,2107,998.0,\"ClearML - Auto-Magical Suite of tools to streamline your ML workflow. Experiment Manager, ML-Ops and Data-Management.\",24.0,23,True,2021-01-13 12:56:36.000000,0.17.4,39.0,clearml,,allegroai/trains,,,9.0,9.0,https://pypi.org/project/clearml,2021-01-13 12:55:05.000000,0.0,1162.0,2749.0,,,,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,29914.0,3.0,255.0,,,,,,,,,,,,,,,,,,,,\n406,scikit-plot,reiinakano/scikit-plot,,interpretability,https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59.000000,2020-07-22 16:19:25.000000,2018-08-19 12:37:47.000000,242,21.0,38.0,2024,130.0,An intuitive library to add plotting functionality to scikit-learn objects.,13.0,23,False,2018-08-19 12:21:01.000000,0.3.7,27.0,scikit-plot,conda-forge/scikit-plot,,,['sklearn'],734.0,707.0,https://pypi.org/project/scikit-plot,2018-08-19 12:18:46.000000,27.0,37682.0,39564.0,https://anaconda.org/conda-forge/scikit-plot,2019-06-05 14:23:59.043000,79072.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n407,ART,Trusted-AI/adversarial-robustness-toolbox,,adversarial,https://github.com/Trusted-AI/adversarial-robustness-toolbox,https://github.com/Trusted-AI/adversarial-robustness-toolbox,MIT,2018-03-15 14:40:43.000000,2021-01-15 23:56:47.000000,2021-01-11 13:39:25.000000,563,75.0,328.0,1959,,\"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..\",59.0,23,True,2021-01-09 02:13:17.000000,1.5.1,27.0,adversarial-robustness-toolbox,,,,,98.0,98.0,https://pypi.org/project/adversarial-robustness-toolbox,2021-01-09 02:13:17.000000,0.0,1733.0,1733.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n408,Enigma Catalyst,enigmampc/catalyst,,financial-data,https://github.com/enigmampc/catalyst,https://github.com/enigmampc/catalyst,Apache-2.0,2017-06-13 22:31:34.000000,2021-01-05 19:10:30.000000,2020-12-28 10:58:58.000000,589,134.0,363.0,1940,6362.0,An Algorithmic Trading Library for Crypto-Assets in Python.,144.0,23,True,2018-09-13 15:09:58.000000,0.5.21,52.0,enigma-catalyst,,,,,20.0,20.0,https://pypi.org/project/enigma-catalyst,2018-11-11 16:46:28.000000,,340.0,340.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n409,Gradio,gradio-app/gradio,,others,https://github.com/gradio-app/gradio,https://github.com/gradio-app/gradio,Apache-2.0,2018-12-19 08:24:04.000000,2020-12-25 04:26:46.000000,2020-12-23 22:13:05.000000,119,5.0,53.0,1907,896.0,\"Wrap UIs around any model, share with anyone.\",14.0,23,True,2020-12-23 21:56:57.000000,1.4.0,77.0,gradio,,,,,60.0,59.0,https://pypi.org/project/gradio,2020-12-23 21:56:57.000000,1.0,1499.0,1499.0,,,,,,,,3.0,,,,,,,,,,,,,,True,,,,,,,\n410,Acme,deepmind/acme,,reinforcement-learning,https://github.com/deepmind/acme,https://github.com/deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000000,2021-01-15 16:14:59.000000,2021-01-14 16:44:50.000000,178,37.0,44.0,1868,327.0,A library of reinforcement learning components and agents.,29.0,23,True,2020-10-23 15:59:12.000000,0.2.0,8.0,dm-acme,,,,['tensorflow'],17.0,17.0,https://pypi.org/project/dm-acme,2020-07-24 13:03:30.000000,,495.0,495.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n411,Essentia,MTG/essentia,,audio,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000000,2021-01-13 12:11:48.000000,2021-01-12 20:52:01.000000,395,307.0,559.0,1706,2698.0,\"C++ library for audio and music analysis, description and synthesis, including Python bindings.\",69.0,23,False,2015-03-31 16:33:30.000000,2.0,9.0,essentia,,,,,152.0,147.0,https://pypi.org/project/essentia,2021-01-13 00:12:18.000000,5.0,1109.0,1109.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n412,GluonTS,awslabs/gluon-ts,,time-series-data,https://github.com/awslabs/gluon-ts,https://github.com/awslabs/gluon-ts,Apache-2.0,2019-05-15 17:17:29.000000,2021-01-16 15:15:09.000000,2021-01-16 15:15:00.000000,357,180.0,342.0,1672,636.0,Probabilistic time series modeling in Python.,67.0,23,True,2020-12-08 15:07:54.000000,0.6.4,27.0,gluonts,,,,['mxnet'],,,https://pypi.org/project/gluonts,2020-12-08 15:07:54.000000,,20673.0,20673.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n413,Spektral,danielegrattarola/spektral,,graph,https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10.000000,2021-01-13 10:18:19.000000,2021-01-13 10:18:13.000000,187,22.0,92.0,1578,450.0,Graph Neural Networks with Keras and Tensorflow 2.,16.0,23,True,2021-01-07 18:03:04.000000,1.0.4,27.0,spektral,,,,\"['tensorflow\"\"']\",26.0,26.0,https://pypi.org/project/spektral,2021-01-07 18:03:04.000000,0.0,1664.0,1664.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n414,vidgear,abhiTronix/vidgear,,image,https://github.com/abhiTronix/vidgear,https://github.com/abhiTronix/vidgear,Apache-2.0,2019-03-17 02:42:42.000000,2021-01-17 14:39:30.000000,2021-01-01 04:26:42.000000,113,4.0,127.0,1562,547.0,High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features.,5.0,23,True,2021-01-01 07:57:09.000000,0.2.0,12.0,vidgear,,,,,79.0,77.0,https://pypi.org/project/vidgear,2021-01-01 07:57:09.000000,2.0,1437.0,1450.0,,,,,,,,3.0,296.0,,,,,,,,,,,,,,,,,,,,\n415,Pillow-SIMD,uploadcare/pillow-simd,,image,https://github.com/uploadcare/pillow-simd,https://github.com/uploadcare/pillow-simd,PIL,2014-11-12 15:33:02.000000,2020-11-03 07:45:01.000000,2020-06-02 14:50:14.000000,65,11.0,53.0,1529,,The friendly PIL fork.,310.0,23,False,2020-01-02 05:19:26.000000,7.0.0,35.0,pillow-simd,,,,,404.0,354.0,https://pypi.org/project/pillow-simd,2020-01-26 14:30:27.000000,50.0,11795.0,11795.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n416,Multicore-TSNE,DmitryUlyanov/Multicore-TSNE,,data-viz,https://github.com/DmitryUlyanov/Multicore-TSNE,https://github.com/DmitryUlyanov/Multicore-TSNE,BSD-3-Clause,2016-10-19 05:46:52.000000,2020-12-20 08:15:51.000000,2020-08-19 14:58:00.000000,191,33.0,20.0,1520,113.0,Parallel t-SNE implementation with Python and Torch wrappers.,15.0,23,True,2017-11-08 13:32:20.000000,0.0.1,2.0,MulticoreTSNE,conda-forge/multicore-tsne,,,['pytorch'],215.0,201.0,https://pypi.org/project/MulticoreTSNE,2017-11-08 16:03:07.000000,14.0,2559.0,2783.0,https://anaconda.org/conda-forge/multicore-tsne,2018-11-12 17:08:01.525000,5834.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n417,sklearn-contrib-lightning,scikit-learn-contrib/lightning,,sklearn-utils,https://github.com/scikit-learn-contrib/lightning,https://github.com/scikit-learn-contrib/lightning,BSD-3-Clause,2012-01-11 13:53:52.000000,2021-01-05 05:54:02.000000,2021-01-04 18:02:23.000000,188,49.0,36.0,1420,700.0,\"Large-scale linear classification, regression and ranking in Python.\",16.0,23,True,2017-11-04 18:03:11.000000,0.5.0,7.0,sklearn-contrib-lightning,conda-forge/sklearn-contrib-lightning,,,['sklearn'],77.0,72.0,https://pypi.org/project/sklearn-contrib-lightning,2020-12-16 17:25:20.000000,5.0,493.0,2829.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2020-12-20 22:58:20.890000,126149.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n418,bonobo,python-bonobo/bonobo,,data-pipelines,https://github.com/python-bonobo/bonobo,https://github.com/python-bonobo/bonobo,Apache-2.0,2016-12-09 04:03:23.000000,2021-01-01 05:32:02.000000,2021-01-01 05:32:01.000000,111,62.0,106.0,1369,978.0,Extract Transform Load for Python 3.5+.,36.0,23,True,2019-05-16 13:19:48.000000,0.6.4,38.0,bonobo,,,http://docs.bonobo-project.org/en/master/,,129.0,105.0,https://pypi.org/project/bonobo,2019-07-20 13:33:19.000000,24.0,2110.0,2110.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n419,Pandaral·lel,nalepae/pandarallel,,data-containers,https://github.com/nalepae/pandarallel,https://github.com/nalepae/pandarallel,BSD-3-Clause,2019-03-10 11:58:29.000000,2020-12-16 13:29:31.000000,2020-12-16 13:29:29.000000,92,60.0,53.0,1325,110.0,A simple and efficient tool to parallelize Pandas operations on all availableCPUs.,13.0,23,True,2020-08-25 16:33:28.000000,1.5.1,28.0,pandarallel,,,,\"['pandas', 'jupyter']\",138.0,138.0,https://pypi.org/project/pandarallel,2020-08-25 16:33:28.000000,0.0,38959.0,38959.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n420,TextAttack,QData/TextAttack,,adversarial,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000000,2021-01-15 17:37:23.000000,2021-01-15 17:37:07.000000,127,26.0,86.0,1184,1908.0,\"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP.\",31.0,23,True,2020-12-27 05:23:02.000000,0.2.15,35.0,textattack,,,,,15.0,15.0,https://pypi.org/project/textattack,2020-12-27 05:23:02.000000,0.0,838.0,838.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n421,MLBox,AxeldeRomblay/MLBox,,hyperopt,https://github.com/AxeldeRomblay/MLBox,https://github.com/AxeldeRomblay/MLBox,BSD-1-Clause,2017-06-01 16:59:24.000000,2020-11-24 17:57:08.000000,2020-08-25 09:26:27.000000,242,10.0,72.0,1179,1121.0,MLBox is a powerful Automated Machine Learning python library.,9.0,23,False,2020-08-25 09:32:37.000000,0.8.5,21.0,mlbox,,,,,20.0,20.0,https://pypi.org/project/mlbox,2020-08-25 09:32:37.000000,,2665.0,2665.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n422,sense2vec,explosion/sense2vec,,nlp,https://github.com/explosion/sense2vec,https://github.com/explosion/sense2vec,MIT,2016-01-23 22:15:49.000000,2020-12-10 16:03:25.000000,2020-05-29 21:31:20.000000,196,15.0,78.0,1142,437.0,Contextually-keyed word vectors.,14.0,23,True,2019-11-22 17:40:43.000000,1.0.2,17.0,sense2vec,conda-forge/sense2vec,,,,54.0,48.0,https://pypi.org/project/sense2vec,2019-11-22 15:49:11.000000,6.0,2374.0,3629.0,https://anaconda.org/conda-forge/sense2vec,2020-03-16 22:19:07.337000,14225.0,,,,,3.0,12095.0,,,,,,,,,,,,,,,,,,,,\n423,metric-learn,scikit-learn-contrib/metric-learn,,others,https://github.com/scikit-learn-contrib/metric-learn,https://github.com/scikit-learn-contrib/metric-learn,MIT,2013-11-02 08:29:47.000000,2020-08-04 01:35:49.000000,2020-08-04 01:35:39.000000,205,47.0,109.0,1101,263.0,Metric learning algorithms in Python.,19.0,23,True,2020-07-02 12:55:51.000000,0.6.2,10.0,metric-learn,,,,['sklearn'],125.0,116.0,https://pypi.org/project/metric-learn,2020-07-02 12:59:23.000000,9.0,15406.0,15406.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n424,garage,rlworkgroup/garage,,reinforcement-learning,https://github.com/rlworkgroup/garage,https://github.com/rlworkgroup/garage,MIT,2018-06-10 21:31:23.000000,2021-01-15 19:53:12.000000,2021-01-14 18:31:32.000000,185,182.0,769.0,1030,1187.0,A toolkit for reproducible reinforcement learning research.,73.0,23,True,2020-09-17 07:34:11.000000,2020.6.3,21.0,garage,,,,['tensorflow'],13.0,13.0,https://pypi.org/project/garage,2020-10-02 17:16:03.000000,,196.0,196.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n425,livelossplot,stared/livelossplot,,ml-experiments,https://github.com/stared/livelossplot,https://github.com/stared/livelossplot,MIT,2018-03-10 17:51:43.000000,2020-11-30 21:45:57.000000,2020-11-16 19:06:21.000000,126,5.0,67.0,1019,304.0,\"Live training loss plot in Jupyter Notebook for Keras, PyTorch and others.\",15.0,23,True,2020-07-24 12:17:19.000000,0.5.3,23.0,livelossplot,,,,['jupyter'],426.0,421.0,https://pypi.org/project/livelossplot,2020-07-24 12:17:19.000000,5.0,11046.0,11046.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n426,Optimus,ironmussa/Optimus,,data-pipelines,https://github.com/ironmussa/Optimus,https://github.com/ironmussa/Optimus,Apache-2.0,2017-07-13 02:31:18.000000,2021-01-15 20:59:01.000000,2021-01-15 20:58:54.000000,189,139.0,165.0,967,3520.0,\"Agile Data Preparation Workflows madeeasy with dask, cudf, dask_cudf and pyspark.\",21.0,23,True,2020-07-19 03:05:40.000000,2.2.32,85.0,optimuspyspark,,,,['spark'],11.0,11.0,https://pypi.org/project/optimuspyspark,2019-05-30 02:22:54.000000,,5463.0,5463.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n427,tensorly,tensorly/tensorly,,others,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52.000000,2021-01-03 14:51:29.000000,2021-01-03 14:51:11.000000,186,24.0,94.0,947,865.0,TensorLy: Tensor Learning in Python.,38.0,23,True,2020-12-07 20:30:41.000000,0.5.1,16.0,tensorly,conda-forge/tensorly,,,,20.0,,https://pypi.org/project/tensorly,2020-12-07 20:30:41.000000,20.0,2480.0,5839.0,https://anaconda.org/conda-forge/tensorly,2020-12-07 22:44:30.386000,107510.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n428,ChainerRL,chainer/chainerrl,,reinforcement-learning,https://github.com/chainer/chainerrl,https://github.com/chainer/chainerrl,MIT,2017-01-30 04:58:15.000000,2020-12-09 06:26:53.000000,2020-12-09 06:26:52.000000,205,75.0,146.0,921,3458.0,ChainerRL is a deep reinforcement learning library built on top of Chainer.,29.0,23,True,2020-02-14 05:35:56.000000,0.8.0,10.0,chainerrl,,,,,102.0,88.0,https://pypi.org/project/chainerrl,2020-02-14 05:35:56.000000,14.0,530.0,530.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n429,spacy-transformers,explosion/spacy-transformers,,nlp,https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000000,2021-01-14 08:27:10.000000,2021-01-14 08:27:09.000000,99,48.0,134.0,872,1243.0,\"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.\",14.0,23,True,2020-06-29 12:10:14.000000,0.6.2,33.0,spacy-transformers,,,,['spacy'],75.0,72.0,https://pypi.org/project/spacy-transformers,2020-10-14 12:35:57.000000,3.0,8798.0,8798.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n430,luminol,linkedin/luminol,,time-series-data,https://github.com/linkedin/luminol,https://github.com/linkedin/luminol,Apache-2.0,2015-11-18 23:16:33.000000,2020-12-27 09:54:35.000000,2018-01-09 07:46:55.000000,177,24.0,12.0,864,69.0,Anomaly Detection and Correlation library.,8.0,23,False,2016-01-20 01:01:44.000000,0.3.1,5.0,luminol,,,,,49.0,37.0,https://pypi.org/project/luminol,2017-12-11 06:04:15.000000,12.0,153625.0,153625.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n431,keract,philipperemy/keract,,interpretability,https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57.000000,2021-01-09 21:38:18.000000,2021-01-09 21:38:17.000000,175,1.0,75.0,843,351.0,Activation Maps (Layers Outputs) and Gradients in Keras.,15.0,23,True,2020-12-30 19:38:30.000000,4.3.4,36.0,keract,,,,['tensorflow'],71.0,66.0,https://pypi.org/project/keract,2020-12-22 09:35:27.000000,5.0,1371.0,1371.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n432,SciSpacy,allenai/scispacy,,nlp,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52.000000,2021-01-16 01:21:02.000000,2021-01-12 00:58:40.000000,118,17.0,129.0,778,796.0,A full spaCy pipeline and models for scientific/biomedical documents.,15.0,23,True,2020-10-16 17:13:40.000000,0.3.0,9.0,scispacy,,,,,211.0,199.0,https://pypi.org/project/scispacy,2020-10-16 17:13:40.000000,12.0,7247.0,7247.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n433,openTSNE,pavlin-policar/openTSNE,,data-viz,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000000,2021-01-08 15:19:01.004000,2021-01-08 11:25:11.000000,82,3.0,68.0,743,509.0,\"Extensible, parallel implementations of t-SNE.\",10.0,23,True,2021-01-08 12:20:43.000000,0.5.1,19.0,opentsne,conda-forge/opentsne,,,,172.0,168.0,https://pypi.org/project/opentsne,2021-01-08 12:20:43.000000,4.0,7952.0,10866.0,https://anaconda.org/conda-forge/opentsne,2021-01-08 15:19:01.004000,72871.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n434,PySwarms,ljvmiranda921/pyswarms,,others,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45.000000,2021-01-03 21:34:15.000000,2021-01-03 04:18:07.000000,230,15.0,153.0,709,405.0,A research toolkit for particle swarm optimization in Python.,42.0,23,True,2020-11-14 05:18:38.000000,.1.2.0,20.0,pyswarms,,,,,87.0,87.0,https://pypi.org/project/pyswarms,2021-01-03 21:34:15.000000,0.0,4565.0,4565.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n435,Hail,hail-is/hail,,medical-data,https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000000,2021-01-15 22:12:47.000000,2021-01-15 16:53:40.000000,180,323.0,1934.0,692,7617.0,Scalable genomic data analysis.,69.0,23,True,2020-12-03 19:29:37.000000,0.2.61,81.0,hail,,,,['spark'],28.0,28.0,https://pypi.org/project/hail,2020-12-03 19:29:37.000000,,913.0,913.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n436,stockstats,jealous/stockstats,,financial-data,https://github.com/jealous/stockstats,https://github.com/jealous/stockstats,BSD-3-Clause,2016-06-05 15:21:22.000000,2020-12-10 07:08:11.000000,2020-10-17 10:59:35.000000,190,29.0,29.0,692,23.0,Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.,7.0,23,True,2020-10-17 11:10:43.000000,0.3.2,14.0,stockstats,,,,,182.0,158.0,https://pypi.org/project/stockstats,2020-10-17 11:10:43.000000,24.0,25579.0,25579.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n437,Singer,singer-io/getting-started,,data-loading,https://github.com/singer-io/getting-started,https://github.com/singer-io/getting-started,AGPL-3.0,2016-10-31 16:53:56.000000,2020-12-04 20:57:23.000000,2020-12-04 20:57:19.000000,94,20.0,16.0,670,173.0,\"Standard for moving data between databases, web APIs, files, queues, and just about anything else you can think of.\",26.0,23,False,2019-11-04 21:43:38.000000,5.9.1,100.0,singer-python,,,,,300.0,,https://pypi.org/project/singer-python,2020-10-27 17:49:47.000000,300.0,57804.0,57804.0,,,,,,,,3.0,,-1.0,,,,,,,,,,,,,,,,,,,\n438,GPUtil,anderskm/gputil,,gpu-utilities,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43.000000,2020-10-01 05:42:49.000000,2019-08-16 09:00:15.000000,76,10.0,14.0,663,140.0,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,13.0,23,False,2018-12-18 09:12:13.000000,1.4.0,8.0,gputil,,,,,1045.0,943.0,https://pypi.org/project/gputil,2018-12-18 09:12:13.000000,102.0,60238.0,60238.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n439,TreeInterpreter,andosa/treeinterpreter,,interpretability,https://github.com/andosa/treeinterpreter,https://github.com/andosa/treeinterpreter,BSD-3-Clause,2015-08-02 20:26:21.000000,2021-01-10 20:20:58.000000,2021-01-10 20:14:03.000000,133,25.0,3.0,636,35.0,Package for interpreting scikit-learn's decision tree and random forest predictions.,10.0,23,True,2021-01-10 20:12:39.000000,0.2.3,5.0,treeinterpreter,,,,['sklearn'],131.0,113.0,https://pypi.org/project/treeinterpreter,2021-01-10 20:12:39.000000,18.0,66486.0,66486.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n440,arch,bashtage/arch,,financial-data,https://github.com/bashtage/arch,https://github.com/bashtage/arch,NCSA,2014-08-29 15:41:28.000000,2021-01-11 12:53:43.000000,2021-01-07 12:33:37.000000,158,18.0,122.0,632,744.0,ARCH models in Python.,25.0,23,False,2020-06-24 19:19:12.000000,4.15,26.0,arch,,,,,283.0,241.0,https://pypi.org/project/arch,2020-06-24 19:20:21.000000,42.0,31229.0,31229.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n441,PDPbox,SauceCat/PDPbox,,data-viz,https://github.com/SauceCat/PDPbox,https://github.com/SauceCat/PDPbox,MIT,2017-06-26 08:01:54.000000,2021-01-13 08:25:09.000000,2018-12-08 10:06:13.000000,83,37.0,17.0,523,223.0,python partial dependence plot toolbox.,7.0,23,False,2018-07-23 13:33:35.000000,0.2.0,2.0,pdpbox,conda-forge/pdpbox,,,,327.0,293.0,https://pypi.org/project/pdpbox,2018-07-23 13:33:35.000000,34.0,40925.0,41231.0,https://anaconda.org/conda-forge/pdpbox,2019-07-17 16:58:38.379000,5508.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n442,tinytag,devsnd/tinytag,,audio,https://github.com/devsnd/tinytag,https://github.com/devsnd/tinytag,MIT,2014-01-27 15:27:01.000000,2020-11-11 16:20:54.000000,2020-11-11 16:13:44.000000,78,14.0,60.0,431,308.0,\"Read music meta data and length of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA and Wave files with python 2 or 3.\",18.0,23,True,2020-11-05 12:44:52.000000,1.5.0,33.0,tinytag,,,,,391.0,295.0,https://pypi.org/project/tinytag,2020-11-05 12:44:52.000000,96.0,2780.0,2780.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n443,random-forest-importances,parrt/random-forest-importances,,interpretability,https://github.com/parrt/random-forest-importances,https://github.com/parrt/random-forest-importances,MIT,2018-03-22 19:20:13.000000,2021-01-08 18:35:14.000000,2021-01-08 18:35:13.000000,88,4.0,25.0,403,243.0,Code to compute permutation and drop-column importances in Python scikit-learn models.,14.0,23,True,2020-11-25 22:11:59.000000,1.3.6,21.0,rfpimp,,,,['sklearn'],59.0,57.0,https://pypi.org/project/rfpimp,2020-11-25 22:11:59.000000,2.0,13930.0,13930.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n444,messytables,okfn/messytables,,data-loading,https://github.com/okfn/messytables,https://github.com/okfn/messytables,MIT,2011-07-27 18:08:21.000000,2021-01-07 22:24:38.000000,2019-11-13 07:35:33.000000,97,30.0,55.0,359,601.0,Tools for parsing messy tabular data. This is now superseded by https://github.com/frictionlessdata/tabulator-py.,44.0,23,False,2017-02-09 12:37:47.000000,0.15.2,26.0,messytables,,,,,388.0,170.0,https://pypi.org/project/messytables,2017-02-09 12:37:47.000000,218.0,4319.0,4319.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n445,pySBD,nipunsadvilkar/pySBD,,nlp,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20.000000,2020-12-01 05:37:27.000000,2020-12-01 05:37:25.000000,25,4.0,43.0,262,274.0,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,6.0,23,True,2020-10-08 11:41:09.000000,0.3.3,14.0,pysbd,,,,,99.0,97.0,https://pypi.org/project/pysbd,2020-10-08 11:33:56.000000,2.0,8966.0,8966.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n446,pysparkling,svenkreiss/pysparkling,,data-pipelines,https://github.com/svenkreiss/pysparkling,https://github.com/svenkreiss/pysparkling,MIT,2015-05-09 19:23:20.000000,2021-01-10 21:31:20.000000,2021-01-10 21:31:15.000000,43,1.0,20.0,232,1514.0,A pure Python implementation of Apache Spark's RDD and DStream interfaces.,9.0,23,True,2021-01-10 21:15:26.000000,0.6.1,68.0,pysparkling,,,,,70.0,56.0,https://pypi.org/project/pysparkling,2021-01-10 21:15:26.000000,14.0,4408.0,4408.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n447,SUOD,yzhao062/SUOD,,others,https://github.com/yzhao062/SUOD,https://github.com/yzhao062/SUOD,BSD-2-Clause,2019-11-20 00:23:54.000000,2021-01-15 02:12:04.000000,2021-01-15 02:06:47.000000,26,3.0,2.0,232,131.0,An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection).,1.0,23,True,2021-01-15 02:12:04.000000,0.0.6,7.0,suod,,,,,242.0,242.0,https://pypi.org/project/suod,2021-01-15 02:12:04.000000,,77724.0,77724.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n448,TensorFlow Cloud,tensorflow/cloud,,tensorflow-utils,https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59.000000,2021-01-15 21:31:00.000000,2021-01-15 21:30:48.000000,43,46.0,25.0,218,499.0,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,16.0,23,True,2021-01-06 23:08:07.000000,0.1.11,14.0,tensorflow-cloud,,,,['tensorflow'],14.0,14.0,https://pypi.org/project/tensorflow-cloud,2021-01-06 23:08:07.000000,0.0,87192.0,87192.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n449,pyexcel-xlsx,pyexcel/pyexcel-xlsx,,data-loading,https://github.com/pyexcel/pyexcel-xlsx,https://github.com/pyexcel/pyexcel-xlsx,BSD-3-Clause,2014-12-02 00:03:24.000000,2020-11-28 22:30:58.000000,2020-11-28 22:30:53.000000,16,12.0,20.0,83,267.0,\"A wrapper library to read, manipulate and write data in xlsx and xlsm format using openpyxl.\",4.0,23,False,2020-10-10 13:13:09.000000,0.6.0,30.0,pyexcel-xlsx,conda-forge/pyexcel-xlsx,,,,1383.0,1073.0,https://pypi.org/project/pyexcel-xlsx,2019-12-28 20:09:57.000000,310.0,33593.0,33971.0,https://anaconda.org/conda-forge/pyexcel-xlsx,2020-10-10 15:53:49.660000,14742.0,,,,,3.0,46.0,,,,,,,,,,,,,,,,,,,,\n450,Vaex,vaexio/vaex,,data-containers,https://github.com/vaexio/vaex,https://github.com/vaexio/vaex,MIT,2014-09-27 09:44:42.000000,2021-01-15 13:11:31.000000,2021-01-15 13:11:30.000000,434,277.0,388.0,5624,2913.0,\"Out-of-Core DataFrames for Python, ML, visualize and explore big tabular data at a billion rows per second.\",37.0,22,True,2020-05-25 21:35:34.000000,3.0.0,43.0,vaex,conda-forge/vaex,,,,2.0,,https://pypi.org/project/vaex,2021-01-13 17:19:07.000000,2.0,3193.0,5032.0,https://anaconda.org/conda-forge/vaex,2020-06-01 18:35:17.510000,93705.0,,,,,3.0,199.0,,,,,,,,,,,,,,,,,,,,\n451,mmdnn,Microsoft/MMdnn,,model-serialisation,https://github.com/microsoft/MMdnn,https://github.com/microsoft/MMdnn,MIT,2017-08-16 08:03:52.000000,2020-10-22 09:57:53.000000,2020-08-14 02:32:30.000000,922,306.0,284.0,5167,1083.0,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,85.0,22,True,2020-07-24 06:34:39.000000,0.3.1,12.0,mmdnn,,,,,50.0,47.0,https://pypi.org/project/mmdnn,2020-07-24 06:34:39.000000,3.0,554.0,640.0,,,,,,,,2.0,3274.0,,,,,,,,,,,,,,,,,,,,\n452,neon,NervanaSystems/neon,,ml-frameworks,https://github.com/NervanaSystems/neon,https://github.com/NervanaSystems/neon,Apache-2.0,2014-10-16 01:00:17.000000,2020-12-23 01:21:42.000000,2019-05-22 18:27:54.000000,848,87.0,305.0,3852,1118.0,Intel Nervana reference deep learning framework committed to best performance on all hardware.,109.0,22,False,2018-01-05 23:25:04.000000,2.6.0,32.0,nervananeon,,,,,38.0,38.0,https://pypi.org/project/nervananeon,2018-01-05 23:25:04.000000,,140.0,143.0,,,,,,,,3.0,255.0,-1.0,,,,,,,,,,,,,,,,,,,\n453,Snips NLU,snipsco/snips-nlu,,nlp,https://github.com/snipsco/snips-nlu,https://github.com/snipsco/snips-nlu,Apache-2.0,2017-02-08 16:16:36.000000,2020-12-24 12:59:47.000000,2020-02-08 21:49:32.000000,457,50.0,196.0,3435,2153.0,Snips Python library to extract meaning from text.,21.0,22,True,2020-01-15 10:13:17.000000,0.20.2,58.0,snips-nlu,,,,,8.0,,https://pypi.org/project/snips-nlu,2020-01-15 10:13:17.000000,8.0,993.0,993.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n454,Image Deduplicator,idealo/imagededup,,image,https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54.000000,2020-12-21 13:30:38.000000,2020-11-23 17:40:40.000000,275,17.0,52.0,3335,460.0,Finding duplicate images made easy!.,9.0,22,True,2020-11-23 17:55:24.000000,0.2.4,9.0,imagededup,,,,['tensorflow'],9.0,8.0,https://pypi.org/project/imagededup,2020-11-22 21:09:36.000000,1.0,1549.0,1549.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n455,ArrayFire,arrayfire/arrayfire,,gpu-utilities,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000000,2021-01-15 08:00:10.000000,2021-01-11 17:01:02.000000,449,254.0,1197.0,3285,5670.0,ArrayFire: a general purpose GPU library.,80.0,22,True,2021-01-08 21:41:09.000000,3.8.0,30.0,arrayfire,,,,,2.0,,https://pypi.org/project/arrayfire,2018-10-18 14:13:29.000000,2.0,504.0,512.0,,,,,,,,2.0,592.0,,,,,,,,,,,,,,,,,,,,\n456,analytics-zoo,intel-analytics/analytics-zoo,,distributed-ml,https://github.com/intel-analytics/analytics-zoo,https://github.com/intel-analytics/analytics-zoo,Apache-2.0,2017-05-05 02:27:30.000000,2021-01-17 14:51:47.000000,2021-01-17 13:49:21.000000,630,442.0,483.0,2181,2495.0,\"Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray.\",81.0,22,True,2020-12-17 03:25:36.000000,0.9.0,43.0,analytics-zoo,,,,['spark'],2.0,2.0,https://pypi.org/project/analytics-zoo,2021-01-10 16:21:22.000000,,634.0,634.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n457,Mars,mars-project/mars,,others,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03.000000,2021-01-17 14:22:18.000000,2021-01-17 11:47:31.000000,241,116.0,628.0,1974,689.0,\"Mars is a tensor-based unified framework for large-scale data computation which scales Numpy, pandas, Scikit-learn and..\",17.0,22,True,2021-01-17 14:22:18.000000,0.6.3,70.0,pymars,,,,,3.0,3.0,https://pypi.org/project/pymars,2021-01-17 12:33:23.000000,0.0,3084.0,3084.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n458,PandasGUI,adamerose/pandasgui,,data-viz,https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT,2019-06-12 02:19:42.000000,2021-01-11 20:52:31.000000,2021-01-11 20:12:34.000000,113,13.0,52.0,1973,403.0,A GUI for Pandas DataFrames.,7.0,22,True,2020-11-10 17:30:20.000000,0.2.7,37.0,pandasgui,,,,['pandas'],30.0,29.0,https://pypi.org/project/pandasgui,2020-11-10 17:30:20.000000,1.0,1648.0,1648.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n459,knockknock,huggingface/knockknock,,ml-experiments,https://github.com/huggingface/knockknock,https://github.com/huggingface/knockknock,MIT,2019-03-20 13:08:55.000000,2021-01-09 06:11:00.000000,2020-03-16 04:26:47.000000,158,12.0,21.0,1948,75.0,Knock Knock: Get notified when your training ends with only two additional lines of code.,18.0,22,True,2020-03-04 04:15:47.000000,0.1.8,10.0,knockknock,conda-forge/knockknock,,,,132.0,129.0,https://pypi.org/project/knockknock,2020-03-16 14:30:23.000000,3.0,1170.0,1522.0,https://anaconda.org/conda-forge/knockknock,2020-03-17 01:52:16.317000,5286.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n460,pytorch-nlp,PetrochukM/PyTorch-NLP,,nlp,https://github.com/PetrochukM/PyTorch-NLP,https://github.com/PetrochukM/PyTorch-NLP,BSD-3-Clause,2018-02-25 05:00:36.000000,2020-10-11 02:41:30.000000,2020-10-11 02:41:24.000000,223,14.0,49.0,1849,442.0,Basic Utilities for PyTorch Natural Language Processing (NLP).,17.0,22,True,2019-11-04 05:16:00.000000,0.5.0,19.0,pytorch-nlp,,,,['pytorch'],187.0,169.0,https://pypi.org/project/pytorch-nlp,2019-11-04 04:35:18.000000,18.0,2731.0,2731.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n461,PyFlux,RJT1990/pyflux,,time-series-data,https://github.com/RJT1990/pyflux,https://github.com/RJT1990/pyflux,BSD-3-Clause,2016-02-16 20:12:02.000000,2019-03-19 10:45:02.000000,2018-12-16 15:30:13.000000,208,79.0,65.0,1845,118.0,Open source time series library for Python.,6.0,22,False,2017-11-21 16:27:06.000000,0.4.16,35.0,pyflux,,,,,181.0,166.0,https://pypi.org/project/pyflux,2017-11-21 16:27:06.000000,15.0,11297.0,11297.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n462,scikit-opt,guofei9987/scikit-opt,,sklearn-utils,https://github.com/guofei9987/scikit-opt,https://github.com/guofei9987/scikit-opt,MIT,2017-12-05 10:20:41.000000,2021-01-07 07:01:36.000000,2021-01-07 07:01:35.000000,424,21.0,61.0,1754,237.0,\"Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune..\",8.0,22,True,2020-11-20 12:55:12.000000,0.6.1,18.0,scikit-opt,,,,['sklearn'],28.0,25.0,https://pypi.org/project/scikit-opt,2020-11-20 12:52:22.000000,3.0,873.0,873.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n463,m2cgen,BayesWitnesses/m2cgen,,model-serialisation,https://github.com/BayesWitnesses/m2cgen,https://github.com/BayesWitnesses/m2cgen,MIT,2019-01-13 02:32:55.000000,2021-01-12 05:26:44.000000,2020-10-07 17:33:12.000000,147,25.0,36.0,1734,227.0,\"Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart,..\",12.0,22,True,2020-09-18 19:17:26.000000,0.9.0,12.0,m2cgen,,,,,4.0,4.0,https://pypi.org/project/m2cgen,2020-09-18 19:16:17.000000,,8599.0,8599.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n464,MONAI,Project-MONAI/MONAI,,medical-data,https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000000,2021-01-15 19:09:21.000000,2021-01-15 14:03:30.000000,296,76.0,582.0,1718,735.0,AI Toolkit for Healthcare Imaging.,52.0,22,True,2020-12-15 15:21:13.000000,0.4.0,15.0,monai,,,,['pytorch'],,,https://pypi.org/project/monai,2020-12-15 15:16:56.000000,,3465.0,3465.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n465,DDSP,magenta/ddsp,,audio,https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27.000000,2021-01-16 05:24:42.000000,2021-01-15 21:26:23.000000,160,13.0,86.0,1713,345.0,DDSP: Differentiable Digital Signal Processing.,24.0,22,True,2021-01-14 01:59:27.000000,1.0.1,28.0,ddsp,,,,['tensorflow'],5.0,5.0,https://pypi.org/project/ddsp,2021-01-14 01:59:27.000000,,974.0,974.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n466,STUMPY,TDAmeritrade/stumpy,,time-series-data,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000000,2021-01-17 03:46:17.000000,2021-01-17 03:45:52.000000,158,27.0,176.0,1638,788.0,\"STUMPY is a powerful and scalable Python library for computing a Matrix Profile, which can be used for a variety of..\",20.0,22,True,2020-12-31 01:04:19.000000,1.6.1,15.0,stumpy,conda-forge/stumpy,,,,0.0,,https://pypi.org/project/stumpy,2020-12-31 01:04:19.000000,0.0,15650.0,16383.0,https://anaconda.org/conda-forge/stumpy,2020-12-31 01:16:25.635000,14664.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n467,scattertext,JasonKessler/scattertext,,nlp,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12.000000,2020-12-18 17:48:22.333000,2020-12-18 09:53:12.000000,200,17.0,53.0,1484,335.0,Beautiful visualizations of how language differs among document types.,10.0,22,True,2017-03-13 05:31:21.000000,0.0.2.4.4,127.0,scattertext,conda-forge/scattertext,,,,151.0,143.0,https://pypi.org/project/scattertext,2020-12-14 02:45:48.000000,8.0,2251.0,3293.0,https://anaconda.org/conda-forge/scattertext,2020-12-18 17:48:22.333000,42742.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n468,fast-bert,kaushaltrivedi/fast-bert,,nlp,https://github.com/utterworks/fast-bert,https://github.com/utterworks/fast-bert,Apache-2.0,2019-04-18 22:01:20.000000,2020-12-17 21:05:51.000000,2020-12-17 21:05:43.000000,302,137.0,91.0,1476,262.0,Super easy library for BERT based NLP models.,34.0,22,True,2020-12-09 21:27:58.000000,1.9.5,40.0,fast-bert,,,,,2.0,,https://pypi.org/project/fast-bert,2020-12-09 21:27:58.000000,2.0,1750.0,1750.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,utterworks/fast-bert\n469,cleanlab,cgnorthcutt/cleanlab,,others,https://github.com/cgnorthcutt/cleanlab,https://github.com/cgnorthcutt/cleanlab,MIT,2018-05-11 01:55:21.000000,2021-01-10 15:00:49.000000,2021-01-10 15:00:49.000000,151,16.0,35.0,1420,697.0,The standard package for machine learning with noisy labels and finding mislabeled data in Python.,5.0,22,True,2020-02-17 07:33:06.000000,0.1.1,15.0,cleanlab,,,,,10.0,10.0,https://pypi.org/project/cleanlab,2020-02-17 07:33:06.000000,,2570.0,2570.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n470,anaGo,Hironsan/anago,,nlp,https://github.com/Hironsan/anago,https://github.com/Hironsan/anago,MIT,2017-06-26 21:28:36.000000,2020-11-13 17:31:18.000000,2019-10-23 03:19:52.000000,349,36.0,71.0,1373,296.0,\"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.\",11.0,22,False,2018-06-03 13:51:56.000000,1.0.0,14.0,anago,,,,['tensorflow'],25.0,25.0,https://pypi.org/project/anago,2018-07-17 01:59:21.000000,,1650.0,1650.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n471,Talos,autonomio/talos,,hyperopt,https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41.000000,2020-11-21 16:37:14.000000,2020-11-21 16:27:04.000000,222,41.0,343.0,1356,538.0,\"Hyperparameter Optimization for TensorFlow, Keras and PyTorch.\",19.0,22,True,2020-11-09 16:48:30.000000,1.0,13.0,talos,,,,['tensorflow'],112.0,106.0,https://pypi.org/project/talos,2020-11-09 16:46:45.000000,6.0,899.0,899.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n472,hnswlib,nmslib/hnswlib,,nn-search,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000000,2021-01-17 07:15:35.000000,2020-08-18 21:30:59.000000,232,80.0,104.0,1300,195.0,Header-only C++/python library for fast approximate nearest neighbors.,32.0,22,True,2020-07-13 04:50:55.000000,0.4.0,3.0,hnswlib,,,,,2.0,,https://pypi.org/project/hnswlib,2020-07-13 04:50:55.000000,2.0,14763.0,14763.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n473,fklearn,nubank/fklearn,,ml-frameworks,https://github.com/nubank/fklearn,https://github.com/nubank/fklearn,Apache-2.0,2019-02-27 14:32:57.000000,2020-11-20 18:13:27.000000,2020-11-20 18:13:25.000000,149,19.0,19.0,1296,111.0,fklearn: Functional Machine Learning.,35.0,22,True,2020-10-02 15:11:00.000000,1.21.0,19.0,fklearn,,,,,9.0,9.0,https://pypi.org/project/fklearn,2020-10-02 15:11:00.000000,,5238.0,5238.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n474,NiftyNet,NifTK/NiftyNet,,medical-data,https://github.com/NifTK/NiftyNet,https://github.com/NifTK/NiftyNet,Apache-2.0,2017-08-30 07:55:43.000000,2020-04-21 19:54:52.000000,2020-04-21 19:54:51.000000,374,99.0,224.0,1263,2848.0,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,58.0,22,True,2019-10-09 19:33:30.000000,0.6.0,11.0,niftynet,,,,['tensorflow'],33.0,33.0,https://pypi.org/project/niftynet,2019-10-10 10:59:33.000000,,165.0,165.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n475,EfficientNets,rwightman/gen-efficientnet-pytorch,,pytorch-utils,https://github.com/rwightman/gen-efficientnet-pytorch,https://github.com/rwightman/gen-efficientnet-pytorch,Apache-2.0,2019-05-11 19:35:56.000000,2020-11-30 05:51:08.000000,2020-11-30 05:49:27.000000,166,,46.0,1227,106.0,\"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.\",5.0,22,True,2020-08-20 19:55:21.000000,1.0.0,9.0,geffnet,,,,['pytorch'],28.0,28.0,https://pypi.org/project/geffnet,2020-08-20 19:55:21.000000,,1297.0,1297.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n476,pycm,sepandhaghighi/pycm,,others,https://github.com/sepandhaghighi/pycm,https://github.com/sepandhaghighi/pycm,MIT,2018-01-22 19:46:54.000000,2021-01-14 16:08:42.000000,2020-10-26 15:51:32.000000,92,13.0,151.0,1044,2508.0,Multi-class confusion matrix library in Python.,14.0,22,True,2020-10-26 16:31:56.000000,3.0,34.0,pycm,,,,,90.0,80.0,https://pypi.org/project/pycm,2020-10-26 16:32:30.000000,10.0,2021.0,2021.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n477,modAL,modAL-python/modAL,,others,https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000000,2021-01-07 09:54:00.000000,2021-01-07 09:40:40.000000,173,43.0,50.0,1004,648.0,A modular active learning framework for Python.,14.0,22,True,2021-01-07 09:47:49.000000,0.4.1,12.0,modAL,,,,['sklearn'],52.0,44.0,https://pypi.org/project/modAL,2021-01-07 09:47:49.000000,8.0,963.0,963.0,,,,,,,,3.0,2.0,,,,,,,,,,,,,,,,,,,,\n478,bt,pmorissette/bt,,financial-data,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28.000000,2021-01-16 23:21:35.000000,2021-01-16 23:21:34.000000,247,52.0,163.0,933,382.0,bt - flexible backtesting for Python.,20.0,22,True,2018-05-28 17:12:46.000000,0.2.7,23.0,bt,,,,,62.0,42.0,https://pypi.org/project/bt,2018-05-28 17:12:46.000000,20.0,3512.0,3512.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n479,pandasql,yhat/pandasql,,data-containers,https://github.com/yhat/pandasql,https://github.com/yhat/pandasql,MIT,2013-02-18 01:53:56.000000,2020-08-14 13:00:13.000000,2017-02-01 15:40:30.000000,141,44.0,23.0,933,127.0,sqldf for pandas.,15.0,22,False,2016-04-20 21:52:36.000000,0.7.3,31.0,pandasql,,,,['pandas'],668.0,619.0,https://pypi.org/project/pandasql,2016-04-20 21:52:36.000000,49.0,157296.0,157296.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n480,fancyimpute,iskandr/fancyimpute,,sklearn-utils,https://github.com/iskandr/fancyimpute,https://github.com/iskandr/fancyimpute,Apache-2.0,2015-11-05 23:39:34.000000,2020-12-09 07:14:51.000000,2020-08-27 15:27:19.000000,142,4.0,103.0,912,195.0,Multivariate imputation and matrix completion algorithms implemented in Python.,11.0,22,True,2020-07-16 21:36:59.000000,0.5.5,26.0,fancyimpute,,,,['sklearn'],658.0,637.0,https://pypi.org/project/fancyimpute,2020-07-16 21:36:59.000000,21.0,4943.0,4943.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n481,Alibi,SeldonIO/alibi,,interpretability,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Apache-2.0,2019-02-26 10:10:56.000000,2020-12-03 14:50:46.000000,2020-12-02 15:42:16.000000,101,64.0,73.0,855,226.0,Algorithms for monitoring and explaining machine learning models.,11.0,22,True,2020-10-20 14:14:29.000000,0.5.5,15.0,alibi,,,,,63.0,54.0,https://pypi.org/project/alibi,2020-10-20 14:13:40.000000,9.0,2144.0,2144.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n482,FinTA,peerchemist/finta,,financial-data,https://github.com/peerchemist/finta,https://github.com/peerchemist/finta,LGPL-3.0,2016-09-01 21:02:46.000000,2021-01-13 05:19:43.000000,2020-11-04 21:30:11.000000,288,9.0,58.0,794,364.0,Common financial technical indicators implemented in Pandas.,21.0,22,False,2020-10-21 11:36:19.000000,1.2,19.0,finta,,,,,55.0,51.0,https://pypi.org/project/finta,2020-10-21 11:39:44.000000,4.0,3006.0,3006.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n483,Neural Structured Learning,tensorflow/neural-structured-learning,,tensorflow-utils,https://github.com/tensorflow/neural-structured-learning,https://github.com/tensorflow/neural-structured-learning,Apache-2.0,2019-08-27 21:48:16.000000,2021-01-15 16:18:44.000000,2021-01-15 16:18:31.000000,138,5.0,38.0,768,352.0,Training neural models with structured signals.,26.0,22,True,2020-08-18 00:30:03.000000,1.3.1,7.0,neural-structured-learning,,,,['tensorflow'],21.0,21.0,https://pypi.org/project/neural-structured-learning,2020-08-18 00:35:35.000000,,1993.0,1993.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n484,minisom,JustGlowing/minisom,,others,https://github.com/JustGlowing/minisom,https://github.com/JustGlowing/minisom,CC-BY-3.0,2013-07-03 10:10:06.000000,2021-01-15 17:39:24.000000,2021-01-15 17:39:23.000000,241,8.0,60.0,757,423.0,MiniSom is a minimalistic implementation of the Self Organizing Maps.,20.0,22,False,2020-11-03 08:23:06.000000,2.2.7,14.0,minisom,,,,,136.0,132.0,https://pypi.org/project/minisom,2020-06-19 06:29:59.000000,4.0,6246.0,6246.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n485,Explainability 360,Trusted-AI/AIX360,,interpretability,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48.000000,2020-12-04 16:51:14.000000,2020-12-04 16:49:39.000000,160,26.0,18.0,750,305.0,Interpretability and explainability of data and machine learning models.,27.0,22,True,2020-10-28 09:32:21.000000,0.2.1,4.0,aix360,,,,,13.0,12.0,https://pypi.org/project/aix360,2020-10-28 09:18:17.000000,1.0,436.0,436.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n486,kapre,keunwoochoi/kapre,,audio,https://github.com/keunwoochoi/kapre,https://github.com/keunwoochoi/kapre,MIT,2016-12-14 18:36:36.000000,2021-01-12 09:28:00.000000,2020-11-16 17:11:54.000000,129,5.0,80.0,698,188.0,kapre: Keras Audio Preprocessors.,13.0,22,True,2020-09-29 18:49:13.000000,0.3.4,21.0,kapre,,,,['tensorflow'],454.0,443.0,https://pypi.org/project/kapre,2020-09-29 18:49:13.000000,11.0,860.0,860.0,,,,,,,,3.0,7.0,,,,,,,,,,,,,,,,,,,,\n487,Node2Vec,eliorc/node2vec,,graph,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000000,2021-01-09 08:40:34.000000,2021-01-09 08:39:26.000000,165,,47.0,621,48.0,Implementation of the node2vec algorithm.,7.0,22,True,2021-01-09 08:40:34.000000,0.4.1,13.0,node2vec,conda-forge/node2vec,,,,121.0,111.0,https://pypi.org/project/node2vec,2021-01-09 08:38:24.000000,10.0,4375.0,4854.0,https://anaconda.org/conda-forge/node2vec,2020-04-25 22:41:13.714000,15346.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n488,scikit-multilearn,scikit-multilearn/scikit-multilearn,,sklearn-utils,https://github.com/scikit-multilearn/scikit-multilearn,https://github.com/scikit-multilearn/scikit-multilearn,BSD-2-Clause,2014-04-30 13:05:44.000000,2020-06-30 10:19:46.000000,2019-05-21 11:29:06.000000,118,64.0,91.0,619,487.0,A scikit-learn based module for multi-label et. al. classification.,15.0,22,False,2018-12-10 16:24:47.000000,0.2.0,6.0,scikit-multilearn,,,,['sklearn'],329.0,326.0,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47.000000,3.0,55297.0,55297.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n489,pingouin,raphaelvallat/pingouin,,probabilistics,https://github.com/raphaelvallat/pingouin,https://github.com/raphaelvallat/pingouin,GPL-3.0,2018-04-01 01:10:22.000000,2021-01-16 17:56:01.000000,2021-01-13 19:05:32.000000,50,16.0,106.0,615,1037.0,Statistical package in Python based on Pandas.,15.0,22,False,2020-09-07 18:23:03.000000,0.3.8,29.0,pingouin,conda-forge/pingouin,,,,153.0,148.0,https://pypi.org/project/pingouin,2020-07-29 04:02:10.000000,5.0,13435.0,14630.0,https://anaconda.org/conda-forge/pingouin,2020-09-07 19:37:23.890000,29896.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n490,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,,data-viz,https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14.000000,2020-11-27 08:30:55.000000,2020-11-27 08:28:43.000000,75,21.0,51.0,601,259.0,Bokeh Plotting Backend for Pandas and GeoPandas.,11.0,22,True,2020-11-27 08:29:09.000000,0.5.2,13.0,pandas-bokeh,,,,['pandas'],135.0,125.0,https://pypi.org/project/pandas-bokeh,2020-11-27 08:30:55.000000,10.0,5581.0,5581.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n491,Prince,MaxHalford/prince,,others,https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000000,2021-01-13 14:32:13.000000,2021-01-11 21:14:58.000000,108,25.0,64.0,553,179.0,\"Python factor analysis library (PCA, CA, MCA, MFA, FAMD).\",9.0,22,True,2020-10-06 11:26:47.000000,0.7.1,41.0,prince,,,,['sklearn'],104.0,101.0,https://pypi.org/project/prince,2020-10-06 11:26:47.000000,3.0,3876.0,3876.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n492,CellProfiler,CellProfiler/CellProfiler,,image,https://github.com/CellProfiler/CellProfiler,https://github.com/CellProfiler/CellProfiler,BSD-3-Clause,2011-04-05 12:10:12.000000,2021-01-11 11:59:27.000000,2021-01-11 11:59:05.000000,268,158.0,2760.0,533,15283.0,An open-source application for biological image analysis.,119.0,22,True,2020-11-20 23:32:23.000000,4.0.7,40.0,cellprofiler,,,,,3.0,3.0,https://pypi.org/project/cellprofiler,2017-09-04 18:03:36.000000,,106.0,112.0,,,,,,,,3.0,525.0,,,,,,,,,,,,,,,,,,,,\n493,Guild AI,guildai/guildai,,ml-experiments,https://github.com/guildai/guildai,https://github.com/guildai/guildai,Apache-2.0,2017-09-27 18:57:50.000000,2021-01-14 21:20:29.000000,2021-01-14 18:24:28.000000,42,93.0,144.0,521,4296.0,\"Experiment tracking, ML developer tools.\",16.0,22,True,2021-01-14 21:03:23.000000,0.7.2,161.0,guildai,,,,,25.0,25.0,https://pypi.org/project/guildai,2021-01-14 21:03:23.000000,,1873.0,1873.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n494,python-ternary,marcharper/python-ternary,,data-viz,https://github.com/marcharper/python-ternary,https://github.com/marcharper/python-ternary,MIT,2012-08-07 23:48:55.000000,2021-01-05 02:49:30.000000,2021-01-05 02:49:29.000000,109,24.0,77.0,383,378.0,Ternary plotting library for python with matplotlib.,25.0,22,True,2020-05-10 19:01:32.000000,1.0.7,10.0,python-ternary,conda-forge/python-ternary,,,,60.0,50.0,https://pypi.org/project/python-ternary,2020-05-10 19:01:32.000000,10.0,970.0,1803.0,https://anaconda.org/conda-forge/python-ternary,2020-05-10 19:48:41.398000,47533.0,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,,,\n495,scikit-lego,koaning/scikit-lego,,sklearn-utils,https://github.com/koaning/scikit-lego,https://github.com/koaning/scikit-lego,MIT,2019-01-21 15:30:15.000000,2021-01-14 09:10:30.000000,2021-01-14 09:10:23.000000,64,20.0,182.0,381,370.0,Extra blocks for scikit-learn pipelines.,38.0,22,True,2020-10-25 11:24:35.000000,0.6.2,29.0,scikit-lego,conda-forge/scikit-lego,,,['sklearn'],15.0,15.0,https://pypi.org/project/scikit-lego,2021-01-04 09:19:31.000000,0.0,883.0,1387.0,https://anaconda.org/conda-forge/scikit-lego,2020-11-02 09:40:04.581000,7562.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n496,Cornac,PreferredAI/cornac,,recommender-systems,https://github.com/PreferredAI/cornac,https://github.com/PreferredAI/cornac,Apache-2.0,2018-07-17 06:31:35.000000,2021-01-11 07:08:37.000000,2021-01-04 08:21:01.000000,55,1.0,28.0,295,1159.0,A Comparative Framework for Multimodal Recommender Systems.,11.0,22,True,2020-12-28 07:16:20.000000,1.10.0,35.0,cornac,conda-forge/cornac,,,,27.0,26.0,https://pypi.org/project/cornac,2020-12-28 07:23:56.000000,1.0,702.0,5595.0,https://anaconda.org/conda-forge/cornac,2021-01-04 15:45:16.261000,97870.0,,,,,2.0,,,,,,,,,,,,,,True,,,,,,,\n497,vega,vega/ipyvega,,data-viz,https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000000,2021-01-11 12:24:54.000000,2021-01-11 12:24:51.000000,46,8.0,79.0,292,473.0,IPython/Jupyter notebook module for Vega and Vega-Lite.,9.0,22,True,2020-05-15 23:40:02.000000,3.4.0,37.0,vega,conda-forge/vega,,,['jupyter'],148.0,,https://pypi.org/project/vega,2020-05-15 23:40:02.000000,148.0,8687.0,15502.0,https://anaconda.org/conda-forge/vega,2020-12-10 15:03:57.175000,374867.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n498,pyvips,libvips/pyvips,,image,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000000,2020-12-27 23:03:46.000000,2020-12-27 23:01:11.000000,25,66.0,132.0,285,390.0,python binding for libvips using cffi.,10.0,22,True,2020-12-18 11:44:57.000000,2.1.14,20.0,pyvips,conda-forge/pyvips,,,,156.0,134.0,https://pypi.org/project/pyvips,2020-12-18 11:44:57.000000,22.0,3146.0,3497.0,https://anaconda.org/conda-forge/pyvips,2020-10-14 10:02:33.542000,5969.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n499,EarthPy,earthlab/earthpy,,geospatial-data,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000000,2021-01-13 22:04:45.000000,2020-12-03 23:03:15.000000,96,26.0,199.0,220,1066.0,A package built to support working with spatial data using open source python.,38.0,22,True,2020-06-18 23:58:08.000000,0.9.2,22.0,earthpy,conda-forge/earthpy,,,,78.0,72.0,https://pypi.org/project/earthpy,2020-06-18 23:58:08.000000,6.0,1596.0,2842.0,https://anaconda.org/conda-forge/earthpy,2020-06-19 15:23:44.425000,26167.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n500,Orion,Epistimio/orion,,hyperopt,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21.000000,2021-01-17 13:18:04.000000,2021-01-15 20:38:01.000000,35,20.0,99.0,179,2421.0,Asynchronous Distributed Hyperparameter Optimization.,18.0,22,True,2020-12-04 17:08:50.000000,0.1.11,12.0,orion,,,,,47.0,39.0,https://pypi.org/project/orion,2020-12-04 17:08:50.000000,8.0,946.0,946.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n501,py3nvml,fbcotter/py3nvml,,gpu-utilities,https://github.com/fbcotter/py3nvml,https://github.com/fbcotter/py3nvml,BSD-3-Clause,2016-11-21 01:07:37.000000,2020-10-10 10:41:08.987000,2020-04-23 06:54:42.000000,24,2.0,9.0,161,79.0,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,6.0,22,True,2020-04-06 16:02:10.000000,0.2.6,13.0,py3nvml,conda-forge/py3nvml,,,,236.0,216.0,https://pypi.org/project/py3nvml,2020-04-06 16:02:10.000000,20.0,93324.0,94242.0,https://anaconda.org/conda-forge/py3nvml,2020-10-10 10:41:08.987000,11024.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n502,Recommenders,microsoft/recommenders,,recommender-systems,https://github.com/microsoft/recommenders,https://github.com/microsoft/recommenders,MIT,2018-09-19 10:06:07.000000,2021-01-15 00:32:17.000000,2021-01-04 11:10:33.000000,1551,108.0,428.0,8979,6261.0,Best Practices on Recommendation Systems.,88.0,21,True,2020-08-20 15:11:46.000000,2020.8,6.0,,,,,,1.0,1.0,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n503,cortex,cortexlabs/cortex,,model-serialisation,https://github.com/cortexlabs/cortex,https://github.com/cortexlabs/cortex,Apache-2.0,2019-01-24 04:43:14.000000,2021-01-16 01:38:54.000000,2021-01-15 19:55:11.000000,544,187.0,682.0,7213,1781.0,Run inference at scale.,18.0,21,True,2021-01-06 08:18:00.000000,0.26.0,44.0,cortex,,,,,0.0,,https://pypi.org/project/cortex,2021-01-06 08:09:51.000000,0.0,686.0,686.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n504,mace,XiaoMi/mace,,ml-frameworks,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12.000000,2021-01-12 02:48:05.000000,2021-01-10 08:24:13.000000,756,39.0,582.0,4267,3086.0,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,54.0,21,True,2021-01-12 02:48:05.000000,1.0.2,9.0,,,,,,,,,,,,44.0,,,,,,,,3.0,1292.0,,,,,,,,,,,,,,,,,,,,\n505,cuDF,rapidsai/cudf,,gpu-utilities,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000000,2021-01-17 14:17:04.000000,2021-01-15 20:22:26.000000,473,565.0,2714.0,3605,,cuDF - GPU DataFrame Library.,197.0,21,True,2020-12-10 17:28:54.000000,0.17.0,5.0,cudf,,,,,4.0,,https://pypi.org/project/cudf,2020-06-01 20:07:47.000000,4.0,603.0,603.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n506,MatchZoo,NTMC-Community/MatchZoo,,nlp,https://github.com/NTMC-Community/MatchZoo,https://github.com/NTMC-Community/MatchZoo,Apache-2.0,2017-06-08 08:55:22.000000,2020-06-17 07:27:59.000000,2019-10-24 13:10:07.000000,858,27.0,427.0,3322,1808.0,\"Facilitating the design, comparison and sharing of deep text matching models.\",35.0,21,False,2019-10-24 13:09:11.000000,2.2.0,5.0,matchzoo,,,,['tensorflow'],9.0,9.0,https://pypi.org/project/matchzoo,2019-10-24 13:09:11.000000,,190.0,190.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n507,AdaNet,tensorflow/adanet,,hyperopt,https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24.000000,2020-07-09 21:03:28.000000,2020-07-09 20:51:04.000000,498,64.0,47.0,3227,439.0,Fast and flexible AutoML with learning guarantees.,26.0,21,True,2020-07-09 20:53:28.000000,0.9.0,13.0,adanet,,,,['tensorflow'],35.0,33.0,https://pypi.org/project/adanet,2020-07-09 21:03:28.000000,2.0,678.0,678.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n508,NLP Architect,IntelLabs/nlp-architect,,nlp,https://github.com/IntelLabs/nlp-architect,https://github.com/IntelLabs/nlp-architect,Apache-2.0,2018-05-17 21:00:13.000000,2021-01-16 01:26:11.000000,2021-01-14 15:53:57.000000,394,16.0,103.0,2575,949.0,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,36.0,21,True,2020-11-17 12:32:37.000000,0.5.5.1,13.0,nlp-architect,,,,,7.0,7.0,https://pypi.org/project/nlp-architect,2020-04-12 11:34:38.000000,,181.0,181.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n509,Image Super-Resolution,idealo/image-super-resolution,,image,https://github.com/idealo/image-super-resolution,https://github.com/idealo/image-super-resolution,Apache-2.0,2018-11-26 13:41:13.000000,2020-11-11 15:09:20.000000,2020-11-11 15:09:19.000000,465,49.0,97.0,2415,138.0,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,9.0,21,True,2020-01-08 15:37:35.000000,2.2.0,11.0,ISR,,idealo/image-super-resolution-gpu,,['tensorflow'],42.0,38.0,https://pypi.org/project/ISR,2020-01-08 15:37:35.000000,4.0,2694.0,2698.0,,,,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,,120.0,3.0,,,,,,,,,,,,,,,,,,,,,\n510,tensorflow-graphics,tensorflow/graphics,,image,https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44.000000,2021-01-17 07:02:57.000000,2020-10-30 10:26:19.000000,266,87.0,81.0,2387,566.0,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,30.0,21,True,2020-05-20 19:56:41.000000,2020.5.20,21.0,tensorflow-graphics,,,,['tensorflow'],3.0,,https://pypi.org/project/tensorflow-graphics,2020-05-20 19:56:41.000000,3.0,908.0,908.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n511,Luminoth,tryolabs/luminoth,,image,https://github.com/tryolabs/luminoth,https://github.com/tryolabs/luminoth,BSD-3-Clause,2017-02-16 15:07:46.000000,2020-12-24 21:01:24.000000,2020-01-07 20:53:25.000000,400,50.0,127.0,2333,838.0,Deep Learning toolkit for Computer Vision.,15.0,21,True,2018-10-31 22:19:52.000000,0.2.3,10.0,luminoth,,,,['tensorflow'],27.0,27.0,https://pypi.org/project/luminoth,2018-11-09 21:35:17.000000,,503.0,788.0,,,,,,,,3.0,11132.0,,,,,,,,,,,,,,,,,,,,\n512,Porcupine,Picovoice/Porcupine,,audio,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000000,2021-01-14 21:34:38.000000,2021-01-14 21:34:31.000000,330,9.0,269.0,2298,362.0,On-device wake word detection powered by deep learning.,25.0,21,True,2020-12-02 15:34:40.000000,1.9,13.0,pvporcupine,,,,,4.0,4.0,https://pypi.org/project/pvporcupine,2020-10-02 19:16:49.000000,0.0,832.0,832.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n513,TensorTrade,tensortrade-org/tensortrade,,financial-data,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32.000000,2021-01-16 21:13:56.000000,2021-01-06 20:35:52.000000,575,33.0,118.0,2179,851.0,\"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.\",46.0,21,True,,,25.0,tensortrade,,,,,11.0,10.0,https://pypi.org/project/tensortrade,2020-08-24 18:26:46.000000,1.0,960.0,960.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n514,DeepVariant,google/deepvariant,,medical-data,https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000000,2020-12-14 23:35:28.000000,2020-12-14 23:35:27.000000,525,3.0,363.0,2158,1503.0,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,19.0,21,True,2020-12-07 17:56:31.000000,1.1.0,15.0,,bioconda/deepvariant,,,['tensorflow'],,,,,,,807.0,https://anaconda.org/bioconda/deepvariant,2020-09-05 07:25:11.429000,26178.0,,,,,3.0,2973.0,,,,,,,,,,,,,,,,,,,,\n515,Texar,asyml/texar,,nlp,https://github.com/asyml/texar,https://github.com/asyml/texar,Apache-2.0,2017-07-22 19:02:05.000000,2020-09-17 07:03:55.000000,2020-07-29 00:38:30.000000,329,32.0,126.0,2090,1719.0,\"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the..\",41.0,21,True,2019-11-19 04:11:18.000000,0.2.4,6.0,texar,,,,['tensorflow'],14.0,12.0,https://pypi.org/project/texar,2019-11-19 04:11:18.000000,2.0,81.0,81.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n516,TF Ranking,tensorflow/ranking,,recommender-systems,https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57.000000,2020-08-29 04:38:20.000000,2020-08-19 20:44:22.000000,354,22.0,193.0,2015,213.0,Learning to Rank in TensorFlow.,17.0,21,True,2020-08-19 21:58:05.000000,0.3.2,14.0,tensorflow_ranking,,,,['tensorflow'],1.0,,https://pypi.org/project/tensorflow_ranking,2020-08-19 21:14:13.000000,1.0,18613.0,18613.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n517,PARL,PaddlePaddle/PARL,,reinforcement-learning,https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22.000000,2021-01-15 11:39:51.000000,2021-01-14 11:40:39.000000,410,52.0,148.0,1780,1.0,A high-performance distributed training framework for Reinforcement Learning.,21.0,21,True,2021-01-08 08:16:06.000000,1.4.1,16.0,parl,,,,['paddle'],65.0,65.0,https://pypi.org/project/parl,2021-01-08 08:16:06.000000,,327.0,327.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n518,auto_ml,ClimbsRocks/auto_ml,,hyperopt,https://github.com/ClimbsRocks/auto_ml,https://github.com/ClimbsRocks/auto_ml,MIT,2016-08-07 21:35:08.000000,2020-12-29 07:56:49.000000,2018-03-25 19:46:25.000000,291,185.0,215.0,1513,1149.0,[UNMAINTAINED] Automated machine learning for analytics & production.,13.0,21,False,2018-02-22 01:13:03.000000,2.9.10,78.0,auto_ml,,,,,2.0,,https://pypi.org/project/auto_ml,2018-02-22 01:13:03.000000,2.0,1700.0,1700.0,,,,,,,,3.0,33.0,,,,,,,,,,,,,,,,,,,,\n519,lore,instacart/lore,,ml-experiments,https://github.com/instacart/lore,https://github.com/instacart/lore,MIT,2017-10-19 21:51:45.000000,2021-01-05 17:20:41.000000,2020-05-11 22:26:45.000000,118,16.0,18.0,1509,270.0,Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers.,22.0,21,True,2020-05-11 22:28:23.000000,0.8.4,231.0,lore,,,,,17.0,16.0,https://pypi.org/project/lore,2020-05-11 22:28:23.000000,1.0,650.0,650.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n520,Magnitude,plasticityai/magnitude,,nn-search,https://github.com/plasticityai/magnitude,https://github.com/plasticityai/magnitude,MIT,2018-02-24 07:28:16.000000,2020-07-17 20:19:50.000000,2020-07-17 20:19:46.000000,98,24.0,50.0,1376,350.0,\"A fast, efficient universal vector embedding utility package.\",4.0,21,True,2020-05-25 11:26:36.000000,0.1.143,128.0,pymagnitude,,,,,184.0,170.0,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36.000000,14.0,5212.0,5212.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n521,TensorFlow Privacy,tensorflow/privacy,,privacy-ml,https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000000,2021-01-17 02:33:00.000000,2021-01-13 23:42:04.000000,264,39.0,76.0,1312,439.0,Library for training machine learning models with privacy for training data.,35.0,21,True,2020-09-03 01:13:47.000000,.0.5.1,9.0,tensorflow-privacy,,,,['tensorflow'],1.0,,https://pypi.org/project/tensorflow-privacy,2020-09-03 01:10:15.000000,1.0,4023.0,4025.0,,,,,,,,2.0,41.0,,,,,,,,,,,,,,,,,,,,\n522,Neural Tangents,google/neural-tangents,,ml-frameworks,https://github.com/google/neural-tangents,https://github.com/google/neural-tangents,Apache-2.0,2019-04-08 16:48:48.000000,2021-01-09 22:43:12.000000,2021-01-06 23:03:23.000000,142,25.0,49.0,1284,347.0,Fast and Easy Infinite Neural Networks in Python.,16.0,21,True,2020-11-18 04:34:54.000000,0.3.5,19.0,neural-tangents,,,,,12.0,12.0,https://pypi.org/project/neural-tangents,2020-11-18 04:23:35.000000,,474.0,485.0,,,,,,,,3.0,79.0,,,,,,,,,,,,,,,,,,,,\n523,Pypeline,cgarciae/pypeln,,data-pipelines,https://github.com/cgarciae/pypeln,https://github.com/cgarciae/pypeln,MIT,2018-09-01 13:43:31.000000,2021-01-05 18:00:20.000000,2021-01-05 17:59:44.000000,66,12.0,35.0,1206,234.0,Concurrent data pipelines in Python .,9.0,21,True,2021-01-05 18:00:06.000000,0.4.7,34.0,pypeln,,,,,5.0,,https://pypi.org/project/pypeln,2021-01-05 18:00:06.000000,5.0,2047.0,2047.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n524,Torchmeta,tristandeleu/pytorch-meta,,pytorch-utils,https://github.com/tristandeleu/pytorch-meta,https://github.com/tristandeleu/pytorch-meta,MIT,2018-12-04 23:36:45.000000,2020-11-25 16:45:01.000000,2020-11-25 16:41:48.000000,128,19.0,69.0,1172,341.0,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.,10.0,21,True,2020-11-25 16:45:01.000000,1.6.1,26.0,torchmeta,,,,['pytorch'],24.0,24.0,https://pypi.org/project/torchmeta,2020-11-25 16:45:01.000000,,452.0,452.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n525,Karate Club,benedekrozemberczki/karateclub,,graph,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56.000000,2021-01-10 12:03:04.000000,2021-01-10 12:02:59.000000,131,,47.0,1128,2096.0,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,11.0,21,False,2020-12-01 21:11:27.000000,_10022,95.0,karateclub,,,,,22.0,22.0,https://pypi.org/project/karateclub,2020-12-01 21:08:09.000000,,2133.0,2133.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n526,TFEncrypted,tf-encrypted/tf-encrypted,,privacy-ml,https://github.com/tf-encrypted/tf-encrypted,https://github.com/tf-encrypted/tf-encrypted,Apache-2.0,2018-03-21 18:22:13.000000,2020-11-19 15:48:03.000000,2020-08-19 16:56:56.000000,133,163.0,230.0,812,595.0,A Framework for Encrypted Machine Learning in TensorFlow.,28.0,21,True,2019-09-27 20:00:01.000000,0.5.9,35.0,tf-encrypted,,,,['tensorflow'],54.0,46.0,https://pypi.org/project/tf-encrypted,2019-10-21 18:05:53.000000,8.0,321.0,321.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n527,scikit-cuda,lebedov/scikit-cuda,,gpu-utilities,https://github.com/lebedov/scikit-cuda,https://github.com/lebedov/scikit-cuda,BSD-3-Clause,2010-09-27 02:02:07.000000,2020-07-13 12:48:39.000000,2020-07-13 12:47:46.000000,154,36.0,163.0,788,1026.0,Python interface to GPU-powered libraries.,44.0,21,True,2019-05-27 00:29:00.000000,0.5.3,7.0,scikit-cuda,,,,,143.0,112.0,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00.000000,31.0,486.0,486.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n528,iNNvestigate,albermax/innvestigate,,interpretability,https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20.000000,2020-12-30 15:22:24.000000,2020-10-16 15:26:56.000000,168,71.0,127.0,750,882.0,A toolbox to iNNvestigate neural networks' predictions!.,18.0,21,True,2019-03-19 14:31:31.000000,1.0.9,2.0,innvestigate,,,,['tensorflow'],44.0,43.0,https://pypi.org/project/innvestigate,2020-11-14 11:35:59.000000,1.0,315.0,315.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n529,Opacus,pytorch/opacus,,privacy-ml,https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000000,2021-01-17 07:28:20.000000,2021-01-13 09:40:30.000000,90,5.0,49.0,713,204.0,Training PyTorch models with differential privacy.,23.0,21,True,2020-12-17 17:30:40.000000,0.11.0,6.0,opacus,,,,['pytorch'],10.0,10.0,https://pypi.org/project/opacus,2020-12-17 17:30:40.000000,,808.0,811.0,,,,,,,,2.0,30.0,,,,,,,,,,,,,,,,,,,,\n530,ogb,snap-stanford/ogb,,graph,https://github.com/snap-stanford/ogb,https://github.com/snap-stanford/ogb,MIT,2019-11-22 22:13:57.000000,2021-01-15 19:38:12.000000,2021-01-11 19:09:04.000000,97,,87.0,711,395.0,\"Benchmark datasets, data loaders, and evaluators for graph machine learning.\",12.0,21,True,2020-12-29 18:13:08.000000,1.2.4,10.0,ogb,,,,,41.0,41.0,https://pypi.org/project/ogb,2020-12-29 18:08:55.000000,0.0,1675.0,1675.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n531,AstroML,astroML/astroML,,others,https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50.000000,2020-09-09 15:52:15.000000,2020-09-09 15:52:13.000000,248,48.0,80.0,705,508.0,\"Machine learning, statistics, and data mining for astronomy and astrophysics.\",29.0,21,True,2019-10-02 06:32:58.000000,0.4.1,10.0,astroML,conda-forge/astroml,,,['sklearn'],187.0,158.0,https://pypi.org/project/astroML,2020-03-23 23:20:49.000000,29.0,472.0,991.0,https://anaconda.org/conda-forge/astroml,2020-02-16 04:18:54.678000,21289.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n532,gmaps,pbugnion/gmaps,,geospatial-data,https://github.com/pbugnion/gmaps,https://github.com/pbugnion/gmaps,BSD-3-Clause,2014-12-01 09:12:06.000000,2020-10-13 07:09:18.000000,2019-07-22 06:22:45.000000,141,63.0,135.0,696,1380.0,Google maps for Jupyter notebooks.,16.0,21,False,2019-07-21 08:49:48.715000,0.9.0,93.0,gmaps,conda-forge/gmaps,,,['jupyter'],38.0,1.0,https://pypi.org/project/gmaps,2019-07-20 07:47:04.000000,37.0,3570.0,9270.0,https://anaconda.org/conda-forge/gmaps,2019-08-02 11:56:50.940000,201290.0,,,,,3.0,,,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715000,,1126.0,,,,,,,,,,,,,\n533,Darts,unit8co/darts,,time-series-data,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000000,2021-01-17 13:01:29.000000,2020-11-09 15:33:02.000000,85,16.0,41.0,695,284.0,A python library for easy manipulation and forecasting of time series.,23.0,21,True,2020-11-09 16:00:41.000000,0.5.0,8.0,u8darts,,unit8/darts,,,11.0,11.0,https://pypi.org/project/u8darts,2020-11-09 16:00:41.000000,,1038.0,1040.0,,,,https://hub.docker.com/r/unit8/darts,2020-10-06 11:35:55.085411,,75.0,3.0,,,,,,,,,,,,,,,,,,,,,\n534,fairlearn,fairlearn/fairlearn,,interpretability,https://github.com/fairlearn/fairlearn,https://github.com/fairlearn/fairlearn,MIT,2018-05-15 01:51:35.000000,2021-01-16 20:58:15.000000,2021-01-12 11:41:54.000000,163,78.0,109.0,652,549.0,A Python package to assess and improve fairness of machine learning models.,29.0,21,True,2020-11-10 15:01:51.000000,0.5.0,12.0,fairlearn,conda-forge/fairlearn,,,['sklearn'],1.0,,https://pypi.org/project/fairlearn,2020-11-10 13:19:12.000000,1.0,3306.0,4063.0,https://anaconda.org/conda-forge/fairlearn,2020-11-11 16:56:35.159000,8337.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n535,Sentinelsat,sentinelsat/sentinelsat,,geospatial-data,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26.000000,2021-01-14 21:35:34.000000,2020-12-28 20:01:10.000000,162,29.0,207.0,539,771.0,Search and download Copernicus Sentinel satellite images.,34.0,21,False,2020-06-12 07:15:51.000000,0.14,36.0,sentinelsat,,,,,181.0,159.0,https://pypi.org/project/sentinelsat,2020-06-12 07:08:37.000000,22.0,6351.0,6354.0,,,,,,,,3.0,189.0,,,,,,,,,,,,,,,,,,,,\n536,pickleDB,patx/pickledb,,data-containers,https://github.com/patx/pickledb,https://github.com/patx/pickledb,BSD-3-Clause,2011-10-28 00:04:40.000000,2020-08-25 09:47:52.000000,2019-11-15 03:38:30.000000,92,16.0,39.0,533,105.0,pickleDB is an open source key-value store using Python's json module.,11.0,21,False,2019-01-13 22:40:32.000000,0.9.1,19.0,pickledb,,,,,552.0,450.0,https://pypi.org/project/pickledb,2019-01-13 22:40:32.000000,102.0,16891.0,16891.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n537,Studio.ml,studioml/studio,,ml-experiments,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28.000000,2021-01-16 03:37:48.000000,2021-01-12 23:13:48.000000,48,57.0,188.0,367,2318.0,Studio: Simplify and expedite model building process.,21.0,21,True,2021-01-10 23:07:33.000000,0.0.38,177.0,studioml,,,,,3.0,3.0,https://pypi.org/project/studioml,2021-01-16 03:37:48.000000,,947.0,947.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n538,PyNNDescent,lmcinnes/pynndescent,,nn-search,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000000,2021-01-16 01:20:16.000000,2021-01-16 01:20:10.000000,43,27.0,29.0,364,460.0,A Python nearest neighbor descent for approximate nearest neighbors.,10.0,21,True,2020-11-19 20:20:48.000000,0.5.1,20.0,pynndescent,conda-forge/pynndescent,,,,3.0,,https://pypi.org/project/pynndescent,2020-11-19 20:20:48.000000,3.0,15533.0,16623.0,https://anaconda.org/conda-forge/pynndescent,2020-11-19 22:20:12.326000,20728.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n539,optunity,claesenm/optunity,,hyperopt,https://github.com/claesenm/optunity,https://github.com/claesenm/optunity,BSD-3-Clause,2014-05-28 17:29:11.000000,2020-05-11 14:32:39.000000,2020-05-11 14:32:38.000000,72,45.0,48.0,364,782.0,optimization routines for hyperparameter tuning.,9.0,21,True,2015-09-30 05:02:00.000000,1.1.1,6.0,optunity,,,,,65.0,58.0,https://pypi.org/project/optunity,2015-09-30 05:02:00.000000,7.0,10613.0,10613.0,,,,,,,,3.0,62.0,,,,,,,,,,,,,,,,,,,,\n540,Pandas Summary,mouradmourafiq/pandas-summary,,data-containers,https://github.com/mouradmourafiq/pandas-summary,https://github.com/mouradmourafiq/pandas-summary,MIT,2016-03-25 21:59:32.000000,2019-08-24 21:10:25.000000,2019-08-24 21:10:24.000000,34,8.0,5.0,358,24.0,An extension to pandas dataframes describe function.,6.0,21,False,2016-08-30 07:54:59.000000,0.0.41,8.0,pandas-summary,,,,['pandas'],572.0,553.0,https://pypi.org/project/pandas-summary,2016-08-30 07:54:59.000000,19.0,20148.0,20148.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n541,Neuraxle,Neuraxio/Neuraxle,,hyperopt,https://github.com/Neuraxio/Neuraxle,https://github.com/Neuraxio/Neuraxle,Apache-2.0,2019-03-26 21:01:54.000000,2021-01-15 23:40:53.000000,2021-01-12 03:35:32.000000,39,118.0,130.0,354,1324.0,A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right..,7.0,21,True,2020-09-20 16:29:39.000000,0.5.6,18.0,neuraxle,,,,,17.0,17.0,https://pypi.org/project/neuraxle,2020-09-20 16:29:39.000000,0.0,284.0,284.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n542,PyTorch Sparse,rusty1s/pytorch_sparse,,pytorch-utils,https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53.000000,2021-01-11 21:13:02.000000,2021-01-11 21:12:58.000000,43,35.0,50.0,339,510.0,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,12.0,21,True,2020-11-02 10:42:59.000000,0.6.8,21.0,torch-sparse,,,,['pytorch'],17.0,,https://pypi.org/project/torch-sparse,2020-11-02 10:43:20.000000,17.0,4233.0,4233.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n543,aequitas,dssg/aequitas,,interpretability,https://github.com/dssg/aequitas,https://github.com/dssg/aequitas,MIT,2018-02-13 19:40:30.000000,2021-01-15 15:48:55.000000,2020-12-20 16:40:35.000000,62,33.0,20.0,338,853.0,Bias and Fairness Audit Toolkit.,15.0,21,True,2020-08-23 23:38:51.000000,0.42.0,16.0,aequitas,,,,,66.0,63.0,https://pypi.org/project/aequitas,2020-12-16 11:48:14.000000,3.0,214.0,214.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n544,torch-cluster,rusty1s/pytorch_cluster,,graph,https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06.000000,2021-01-03 16:07:26.000000,2021-01-03 16:07:22.000000,67,35.0,37.0,321,499.0,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,17.0,21,True,2020-10-31 14:42:35.000000,1.5.8,38.0,torch-cluster,,,,['pytorch'],32.0,,https://pypi.org/project/torch-cluster,2020-10-31 14:42:35.000000,32.0,2775.0,2775.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n545,BioPandas,rasbt/biopandas,,others,https://github.com/rasbt/biopandas,https://github.com/rasbt/biopandas,BSD-3-Clause,2015-11-21 00:00:14.000000,2021-01-01 17:08:09.000000,2021-01-01 17:08:08.000000,76,16.0,18.0,317,144.0,Working with molecular structures in pandas DataFrames.,7.0,21,True,2020-08-04 13:52:27.000000,0.2.7,11.0,biopandas,conda-forge/biopandas,,,['pandas'],53.0,47.0,https://pypi.org/project/biopandas,2020-08-04 13:49:59.000000,6.0,200.0,1458.0,https://anaconda.org/conda-forge/biopandas,2020-08-08 06:33:59.197000,61645.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n546,joypy,sbebo/joypy,,data-viz,https://github.com/sbebo/joypy,https://github.com/sbebo/joypy,MIT,2017-07-30 17:18:50.000000,2020-12-28 14:07:53.760000,2020-12-28 11:56:12.000000,32,4.0,34.0,312,108.0,Joyplots in Python with matplotlib & pandas.,5.0,21,True,2020-12-28 11:54:36.000000,0.2.4,16.0,joypy,conda-forge/joypy,,,,68.0,62.0,https://pypi.org/project/joypy,2020-12-28 11:54:36.000000,6.0,2744.0,3097.0,https://anaconda.org/conda-forge/joypy,2020-12-28 14:07:53.760000,7783.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n547,Caer,jasmcaus/caer,,image,https://github.com/jasmcaus/caer,https://github.com/jasmcaus/caer,MIT,2020-08-06 18:36:14.000000,2021-01-16 19:04:07.000000,2021-01-15 20:21:57.000000,39,3.0,6.0,306,4779.0,\"A lightweight Computer Vision library. Scale your models, not boilerplate.\",2.0,21,True,2021-01-15 20:20:24.000000,1.9.6,107.0,caer,,,https://caer.rtfd.io,,0.0,,https://pypi.org/project/caer,2021-01-15 20:20:24.000000,0.0,682607.0,682609.0,,,,,,,,3.0,14.0,,,,,,,,,,,,,True,,,,,,,\n548,SDV,sdv-dev/SDV,,data-loading,https://github.com/sdv-dev/SDV,https://github.com/sdv-dev/SDV,MIT,2018-05-11 15:56:50.000000,2021-01-15 19:51:21.000000,2021-01-14 08:58:42.000000,54,42.0,130.0,306,757.0,\"Synthetic Data Generation for tabular, relational and time series data.\",33.0,21,True,2020-12-31 15:58:42.000000,0.6.1,34.0,sdv,,,,,13.0,13.0,https://pypi.org/project/sdv,2020-12-31 15:57:53.000000,0.0,1019.0,1019.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n549,NIPY,nipy/nipy,,medical-data,https://github.com/nipy/nipy,https://github.com/nipy/nipy,DSDP,2010-05-02 10:00:33.000000,2020-11-24 19:22:47.000000,2020-10-14 22:51:30.000000,123,43.0,104.0,289,6371.0,Neuroimaging in Python FMRI analysis package.,63.0,21,False,2018-02-19 14:14:08.000000,0.4.2,6.0,nipy,conda-forge/nipy,,,,29.0,,https://pypi.org/project/nipy,2018-02-19 14:14:08.000000,29.0,648.0,2320.0,https://anaconda.org/conda-forge/nipy,2020-05-04 19:38:04.112000,70253.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n550,datatest,shawnbrown/datatest,,data-loading,https://github.com/shawnbrown/datatest,https://github.com/shawnbrown/datatest,Apache-2.0,2016-05-12 13:16:27.000000,2021-01-17 06:26:29.000000,2021-01-17 06:23:57.000000,13,9.0,42.0,235,2132.0,Tools for test driven data-wrangling and data validation.,6.0,21,True,2021-01-04 03:43:58.000000,0.11.1,17.0,datatest,,,,,30.0,28.0,https://pypi.org/project/datatest,2021-01-04 03:39:40.000000,2.0,2170.0,2170.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n551,pymap3d,geospace-code/pymap3d,,geospatial-data,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03.000000,2020-12-23 03:44:01.000000,2020-12-23 03:43:54.000000,55,2.0,22.0,171,622.0,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,8.0,21,True,2020-09-21 15:20:10.000000,2.4.3,45.0,pymap3d,conda-forge/pymap3d,,,,3.0,,https://pypi.org/project/pymap3d,2020-09-21 15:16:49.000000,3.0,8682.0,9275.0,https://anaconda.org/conda-forge/pymap3d,2020-09-24 05:54:07.357000,5935.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n552,gokart,m3dev/gokart,,ml-experiments,https://github.com/m3dev/gokart,https://github.com/m3dev/gokart,MIT,2018-12-23 07:40:27.000000,2021-01-12 08:24:01.000000,2021-01-12 08:20:01.000000,30,9.0,20.0,158,311.0,A wrapper of the data pipeline library luigi.,24.0,21,True,2021-01-12 08:30:06.000000,0.3.23,46.0,gokart,,,,,30.0,28.0,https://pypi.org/project/gokart,2020-02-25 06:01:19.000000,2.0,471.0,471.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n553,Dejavu,worldveil/dejavu,,audio,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35.000000,2020-10-29 17:40:17.000000,2020-06-03 05:58:03.000000,1236,83.0,129.0,5298,146.0,Audio fingerprinting and recognition in Python.,23.0,20,True,2015-04-19 21:20:16.000000,0.1.3,4.0,PyDejavu,,,,,17.0,16.0,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16.000000,1.0,90.0,90.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n554,MMF,facebookresearch/mmf,,image,https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40.000000,2021-01-16 08:03:21.000000,2021-01-12 19:16:32.000000,590,90.0,320.0,4047,758.0,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,50.0,20,True,2019-08-26 19:04:21.000000,0.3.1,11.0,mmf,,,,['pytorch'],6.0,6.0,https://pypi.org/project/mmf,2020-06-11 16:09:52.000000,,138.0,138.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n555,DeepMatcher,anhaidgroup/deepmatcher,,nlp,https://github.com/anhaidgroup/deepmatcher,https://github.com/anhaidgroup/deepmatcher,BSD-3-Clause,2017-12-01 19:01:11.000000,2020-09-27 17:25:56.000000,2020-04-20 02:34:24.000000,1269,47.0,15.0,3382,169.0,Python package for performing Entity and Text Matching using Deep Learning.,7.0,20,True,2019-12-30 19:49:33.000000,0.1.1,9.0,deepmatcher,,,,,9.0,9.0,https://pypi.org/project/deepmatcher,2019-12-30 19:49:33.000000,,247.0,247.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n556,MindsDB,mindsdb/mindsdb,,ml-frameworks,https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,GPL-3.0,2018-08-02 17:56:45.000000,2021-01-16 19:12:36.000000,2021-01-14 13:21:29.000000,408,36.0,467.0,3146,,Predictive AI layer for existing databases.,55.0,20,False,2021-01-14 14:20:11.000000,2.18.0,42.0,mindsdb,,,,['pytorch'],3.0,,https://pypi.org/project/mindsdb,2019-03-19 05:07:23.000000,3.0,2065.0,2065.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n557,TRFL,deepmind/trfl,,reinforcement-learning,https://github.com/deepmind/trfl,https://github.com/deepmind/trfl,Apache-2.0,2018-08-08 14:44:11.000000,2020-11-06 04:44:44.000000,2020-04-20 13:05:56.000000,372,6.0,16.0,3060,116.0,TensorFlow Reinforcement Learning.,12.0,20,True,2020-04-20 14:11:57.000000,1.1.0,4.0,trfl,,,,['tensorflow'],38.0,36.0,https://pypi.org/project/trfl,2020-04-20 14:11:57.000000,2.0,610.0,610.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n558,DALI,NVIDIA/DALI,,gpu-utilities,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000000,2021-01-15 18:31:04.000000,2021-01-15 17:32:35.000000,365,180.0,597.0,3034,1663.0,A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep..,53.0,20,True,2020-12-30 12:56:47.000000,0.29.0,35.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n559,FATE,FederatedAI/FATE,,privacy-ml,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000000,2021-01-17 03:20:45.000000,2021-01-17 03:20:44.000000,796,277.0,522.0,2696,6609.0,An Industrial Grade Federated Learning Framework.,50.0,20,True,2020-11-13 13:36:14.000000,1.5.0,24.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n560,dpark,douban/dpark,,data-pipelines,https://github.com/douban/dpark,https://github.com/douban/dpark,BSD-3-Clause,2012-04-11 08:35:06.000000,2020-12-25 10:36:06.000000,2020-12-25 10:36:05.000000,554,,60.0,2643,1467.0,\"Python clone of Spark, a MapReduce alike framework in Python.\",35.0,20,True,2018-07-27 04:11:36.000000,0.5.0,19.0,dpark,,,,['spark'],4.0,3.0,https://pypi.org/project/dpark,2018-07-27 04:11:36.000000,1.0,11.0,11.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n561,image-match,EdjoLabs/image-match,,image,https://github.com/EdjoLabs/image-match,https://github.com/EdjoLabs/image-match,Apache-2.0,2016-03-08 18:16:45.000000,2021-01-04 18:36:01.000000,2021-01-04 18:35:59.000000,348,47.0,47.0,2502,404.0,Quickly search over billions of images.,17.0,20,True,2017-02-13 14:54:48.000000,1.1.2,10.0,image_match,,,,,3.0,,https://pypi.org/project/image_match,2017-02-13 14:54:48.000000,3.0,286.0,286.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n562,StreamAlert,airbnb/streamalert,,others,https://github.com/airbnb/streamalert,https://github.com/airbnb/streamalert,Apache-2.0,2017-01-22 01:10:56.000000,2021-01-13 20:21:16.000000,2020-10-05 21:15:11.000000,281,90.0,247.0,2450,1892.0,\"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data..\",30.0,20,True,2020-10-05 21:50:56.000000,3.4.1,27.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n563,gpt-2-simple,minimaxir/gpt-2-simple,,nlp,https://github.com/minimaxir/gpt-2-simple,https://github.com/minimaxir/gpt-2-simple,MIT,2019-04-13 20:00:52.000000,2020-11-13 18:28:40.000000,2020-04-24 02:31:04.000000,492,129.0,90.0,2443,130.0,Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts.,16.0,20,True,2019-12-28 04:05:21.000000,0.7.1,15.0,gpt-2-simple,,,,['tensorflow'],3.0,,https://pypi.org/project/gpt-2-simple,2019-12-28 04:03:29.000000,3.0,5286.0,5294.0,,,,,,,,3.0,187.0,,,,,,,,,,,,,,,,,,,,\n564,finmarketpy,cuemacro/finmarketpy,,financial-data,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03.000000,2021-01-16 17:23:49.000000,2021-01-16 17:23:43.000000,411,21.0,3.0,2433,651.0,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,14.0,20,True,2020-10-20 09:25:52.000000,0.11.7,8.0,finmarketpy,,,,,3.0,3.0,https://pypi.org/project/finmarketpy,2020-10-20 09:28:00.000000,,71.0,71.0,,,,,,,,3.0,39.0,,,,,,,,,,,,,,,,,,,,\n565,NeMo,NVIDIA/NeMo,,nlp,https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000000,2021-01-17 09:35:15.000000,2021-01-15 22:15:22.000000,364,162.0,244.0,2314,,NeMo: a toolkit for conversational AI.,68.0,20,True,2020-07-10 00:01:18.000000,0.11.0,36.0,nemo-toolkit,,,,['pytorch'],4.0,,https://pypi.org/project/nemo-toolkit,2020-12-11 21:33:53.000000,4.0,1670.0,1694.0,,,,,,,,3.0,396.0,,,,,,,,,,,,,,,,,,,,\n566,Hummingbird,microsoft/hummingbird,,model-serialisation,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000000,2021-01-13 22:42:38.000000,2021-01-13 22:27:09.000000,152,49.0,132.0,2162,,Hummingbird compiles trained ML models into tensor computation for faster inference.,18.0,20,True,2021-01-04 22:16:04.000000,0.2.1,9.0,hummingbird-ml,,,,,12.0,12.0,https://pypi.org/project/hummingbird-ml,2021-01-04 22:14:22.000000,,800.0,811.0,,,,,,,,3.0,88.0,,,,,,,,,,,,,,,,,,,,\n567,Texthero,jbesomi/texthero,,nlp,https://github.com/jbesomi/texthero,https://github.com/jbesomi/texthero,MIT,2020-04-06 15:16:05.000000,2020-12-09 16:49:27.000000,2020-11-03 07:58:36.000000,178,73.0,48.0,2063,267.0,\"Text preprocessing, representation and visualization from zero to hero.\",18.0,20,True,2020-07-06 20:32:28.000000,1.0.9,9.0,texthero,,,,,,,https://pypi.org/project/texthero,2020-07-06 20:29:25.000000,,2180.0,2186.0,,,,,,,,3.0,61.0,,,,,,,,,,,,,,,,,,,,\n568,pdftabextract,WZBSocialScienceCenter/pdftabextract,,ocr,https://github.com/WZBSocialScienceCenter/pdftabextract,https://github.com/WZBSocialScienceCenter/pdftabextract,Apache-2.0,2016-07-08 11:44:46.000000,2020-12-28 00:52:23.000000,2018-10-26 13:57:02.000000,329,2.0,18.0,1886,168.0,A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.,2.0,20,False,2018-01-09 08:00:24.000000,0.3.0,5.0,pdftabextract,,,,,36.0,36.0,https://pypi.org/project/pdftabextract,2018-01-09 08:00:24.000000,,299.0,299.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n569,AmpliGraph,Accenture/AmpliGraph,,graph,https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05.000000,2020-08-25 17:19:24.000000,2020-08-25 17:00:58.000000,154,18.0,155.0,1410,895.0,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,14.0,20,True,2020-08-25 17:06:46.000000,1.3.2,11.0,ampligraph,,,,['tensorflow'],9.0,9.0,https://pypi.org/project/ampligraph,2020-08-25 16:59:58.000000,,513.0,513.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n570,DELTA,Delta-ML/delta,,nlp,https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57.000000,2021-01-16 17:51:18.600970,2020-12-17 06:57:15.000000,269,9.0,66.0,1367,932.0,DELTA is a deep learning based natural language and speech processing platform.,41.0,20,True,2020-07-16 09:31:45.000000,0.3.3,4.0,delta-nlp,,zh794390558/delta,,['tensorflow'],,,https://pypi.org/project/delta-nlp,2020-03-27 04:46:19.000000,,8.0,593.0,,,,https://hub.docker.com/r/zh794390558/delta,2021-01-16 17:51:18.600970,,11718.0,3.0,,,,,,,,,,,,,,,,,,,,,\n571,hiddenlayer,waleedka/hiddenlayer,,ml-experiments,https://github.com/waleedka/hiddenlayer,https://github.com/waleedka/hiddenlayer,MIT,2018-05-18 22:34:51.000000,2020-04-24 07:32:11.000000,2020-04-24 06:58:09.000000,194,43.0,32.0,1367,58.0,\"Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.\",6.0,20,True,2018-12-03 04:33:29.000000,0.2,3.0,hiddenlayer,,,,\"['pytorch', 'tensorflow', 'jupyter']\",56.0,52.0,https://pypi.org/project/hiddenlayer,2020-04-24 07:32:11.000000,4.0,1098.0,1098.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n572,reformer-pytorch,lucidrains/reformer-pytorch,,pytorch-utils,https://github.com/lucidrains/reformer-pytorch,https://github.com/lucidrains/reformer-pytorch,MIT,2020-01-09 20:42:37.000000,2020-12-11 17:49:44.000000,2020-12-11 17:49:36.000000,164,1.0,92.0,1316,236.0,\"Reformer, the efficient Transformer, in Pytorch.\",9.0,20,True,2020-12-06 23:07:32.000000,1.2.4,132.0,reformer-pytorch,,,,['pytorch'],,,https://pypi.org/project/reformer-pytorch,2020-12-06 23:08:09.000000,,925.0,925.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n573,ThunderSVM,Xtra-Computing/thundersvm,,ml-frameworks,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04.000000,2020-12-14 03:08:11.000000,2020-12-14 03:08:11.000000,165,42.0,144.0,1259,896.0,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,33.0,20,True,2020-03-13 12:36:30.000000,0.3.12,9.0,thundersvm,,,,,,,https://pypi.org/project/thundersvm,2020-03-13 12:36:30.000000,,349.0,391.0,,,,,,,,3.0,2107.0,,,,,,,,,,,,,,,,,,,,\n574,checklist,marcotcr/checklist,,interpretability,https://github.com/marcotcr/checklist,https://github.com/marcotcr/checklist,MIT,2020-03-09 17:18:49.000000,2020-12-30 23:14:48.000000,2020-12-16 19:26:13.000000,97,3.0,53.0,1190,209.0,Beyond Accuracy: Behavioral Testing of NLP models with CheckList.,7.0,20,True,2020-09-21 18:30:40.000000,0.0.10,9.0,checklist,,,,['jupyter'],7.0,5.0,https://pypi.org/project/checklist,2020-09-21 18:30:40.000000,2.0,245.0,245.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n575,tensorrec,jfkirk/tensorrec,,recommender-systems,https://github.com/jfkirk/tensorrec,https://github.com/jfkirk/tensorrec,Apache-2.0,2017-02-28 18:51:11.000000,2020-07-30 02:47:12.000000,2020-02-04 21:10:25.000000,205,32.0,90.0,1113,334.0,A TensorFlow recommendation algorithm and framework in Python.,8.0,20,True,2019-04-02 00:53:47.000000,0.26.2,30.0,tensorrec,,,,['tensorflow'],24.0,23.0,https://pypi.org/project/tensorrec,2019-04-02 00:53:47.000000,1.0,921.0,921.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n576,datatable,h2oai/datatable,,data-containers,https://github.com/h2oai/datatable,https://github.com/h2oai/datatable,MPL-2.0,2017-03-03 02:32:59.000000,2021-01-15 04:12:47.000000,2021-01-13 19:01:42.000000,95,112.0,1102.0,1089,,A Python package for manipulating 2-dimensional tabular data structures.,28.0,20,True,2020-12-10 09:10:50.000000,0.11.1,15.0,datatable,,,,,6.0,,https://pypi.org/project/datatable,2020-12-10 08:04:03.000000,6.0,15469.0,15487.0,,,,,,,,3.0,740.0,,,,,,,,,,,,,,,,,,,,\n577,FARM,deepset-ai/FARM,,nlp,https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12.000000,2021-01-12 17:34:30.000000,2021-01-12 17:18:36.000000,147,32.0,285.0,1072,517.0,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,29.0,20,True,2021-01-12 17:34:55.000000,0.6.1,21.0,farm,,,,['pytorch'],2.0,,https://pypi.org/project/farm,2021-01-12 17:34:30.000000,2.0,3640.0,3640.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n578,Classy Vision,facebookresearch/ClassyVision,,image,https://github.com/facebookresearch/ClassyVision,https://github.com/facebookresearch/ClassyVision,MIT,2019-09-13 22:54:44.000000,2021-01-15 22:01:34.000000,2021-01-06 01:05:18.000000,190,46.0,43.0,1044,317.0,An end-to-end PyTorch framework for image and video classification.,53.0,20,True,2020-11-20 16:42:56.000000,0.5.0,15.0,classy_vision,conda-forge/classy_vision,,,['pytorch'],,,https://pypi.org/project/classy_vision,2020-11-20 21:02:29.000000,,142.0,601.0,https://anaconda.org/conda-forge/classy_vision,2020-12-11 20:08:25.437000,5518.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n579,Sockeye,awslabs/sockeye,,nlp,https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30.000000,2021-01-15 17:25:12.000000,2021-01-08 08:07:29.000000,290,21.0,220.0,984,732.0,Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet.,52.0,20,True,2021-01-08 08:11:37.000000,2.3.8,61.0,sockeye,,,,['mxnet'],2.0,,https://pypi.org/project/sockeye,2021-01-08 08:11:37.000000,2.0,563.0,563.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n580,TensorNets,taehoonlee/tensornets,,tensorflow-utils,https://github.com/taehoonlee/tensornets,https://github.com/taehoonlee/tensornets,MIT,2017-09-19 05:19:01.000000,2021-01-02 06:28:10.000000,2021-01-02 06:26:24.000000,184,14.0,42.0,973,284.0,High level network definitions with pre-trained weights in TensorFlow.,6.0,20,True,2020-03-31 04:38:27.000000,0.4.6,12.0,tensornets,,,,['tensorflow'],31.0,29.0,https://pypi.org/project/tensornets,2020-03-31 04:35:15.000000,2.0,257.0,257.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n581,Skater,oracle/Skater,,interpretability,https://github.com/oracle/Skater,https://github.com/oracle/Skater,UPL-1.0,2017-01-26 05:45:42.000000,2020-11-01 15:57:12.273000,2020-06-29 20:07:12.000000,156,63.0,97.0,965,1101.0,Python Library for Model Interpretation/Explanations.,34.0,20,False,2018-09-21 07:03:32.000000,1.1.2,23.0,skater,conda-forge/skater,,,,,,https://pypi.org/project/skater,2018-09-21 07:03:32.000000,,7296.0,8047.0,https://anaconda.org/conda-forge/skater,2020-11-01 15:57:12.273000,32323.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n582,Haiku,deepmind/dm-haiku,,ml-frameworks,https://github.com/deepmind/dm-haiku,https://github.com/deepmind/dm-haiku,Apache-2.0,2020-02-18 07:14:02.000000,2021-01-16 12:28:48.000000,2021-01-16 12:28:14.000000,63,18.0,48.0,905,468.0,JAX-based neural network library.,34.0,20,True,2020-11-24 11:25:05.000000,0.0.3,5.0,,,,,,56.0,56.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n583,fastFM,ibayer/fastFM,,recommender-systems,https://github.com/ibayer/fastFM,https://github.com/ibayer/fastFM,BSD-3-Clause,2014-10-27 12:25:51.000000,2020-03-05 14:57:53.000000,2020-03-05 14:57:52.000000,186,44.0,58.0,889,291.0,fastFM: A Library for Factorization Machines.,19.0,20,True,2017-11-23 06:59:56.000000,0.2.11,10.0,fastfm,,,,,76.0,72.0,https://pypi.org/project/fastfm,2017-11-23 06:59:56.000000,4.0,461.0,466.0,,,,,,,,3.0,370.0,,,,,,,,,,,,,,,,,,,,\n584,pyts,johannfaouzi/pyts,,time-series-data,https://github.com/johannfaouzi/pyts,https://github.com/johannfaouzi/pyts,BSD-3-Clause,2017-07-31 09:23:16.000000,2020-09-12 14:41:49.000000,2020-04-30 12:28:12.000000,93,23.0,18.0,852,360.0,A Python package for time series classification.,7.0,20,True,2020-03-21 12:41:33.000000,0.11.0,17.0,pyts,conda-forge/pyts,,,,81.0,79.0,https://pypi.org/project/pyts,2020-03-21 12:36:40.000000,2.0,2034.0,2378.0,https://anaconda.org/conda-forge/pyts,2020-03-21 14:08:24.734000,5854.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n585,mrq,pricingassistant/mrq,,data-pipelines,https://github.com/pricingassistant/mrq,https://github.com/pricingassistant/mrq,MIT,2014-02-13 09:32:40.000000,2021-01-07 22:22:25.000000,2020-12-13 18:58:15.000000,113,58.0,119.0,831,709.0,Mr. Queue - A distributed worker task queue in Python using Redis & gevent.,37.0,20,True,2018-08-31 16:03:04.000000,0.9.10,70.0,mrq,,,,,35.0,23.0,https://pypi.org/project/mrq,2018-08-31 16:03:04.000000,12.0,236.0,236.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n586,attention-ocr,emedvedev/attention-ocr,,ocr,https://github.com/emedvedev/attention-ocr,https://github.com/emedvedev/attention-ocr,MIT,2017-07-21 18:35:19.000000,2020-10-31 19:40:20.000000,2020-10-31 19:40:19.000000,227,16.0,125.0,823,196.0,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,27.0,20,True,2020-10-12 06:56:40.000000,0.7.6,21.0,aocr,,,,['tensorflow'],15.0,15.0,https://pypi.org/project/aocr,2019-04-19 05:28:27.000000,,146.0,146.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n587,nude.py,hhatto/nude.py,,image,https://github.com/hhatto/nude.py,https://github.com/hhatto/nude.py,MIT,2013-06-09 06:55:55.000000,2020-11-23 13:49:32.000000,2020-11-23 13:49:02.000000,128,6.0,2.0,788,79.0,Nudity detection with Python.,12.0,20,True,2020-11-23 13:49:17.000000,0.5.1,10.0,nudepy,,,,,63.0,54.0,https://pypi.org/project/nudepy,2020-11-23 13:49:17.000000,9.0,575.0,575.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n588,tf-explain,sicara/tf-explain,,interpretability,https://github.com/sicara/tf-explain,https://github.com/sicara/tf-explain,MIT,2019-07-15 08:26:24.000000,2021-01-05 16:15:09.000000,2021-01-05 16:15:08.000000,69,34.0,41.0,749,193.0,Interpretability Methods for tf.keras models with Tensorflow 2.x.,12.0,20,True,2020-02-14 09:00:00.000000,0.2.1,6.0,tf-explain,,,,['tensorflow'],60.0,59.0,https://pypi.org/project/tf-explain,2020-02-14 09:04:51.000000,1.0,947.0,947.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n589,mljar-supervised,mljar/mljar-supervised,,hyperopt,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000000,2021-01-15 11:36:42.000000,2021-01-15 08:21:18.000000,97,50.0,221.0,742,733.0,Automates Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning.,7.0,20,True,2021-01-14 20:46:00.000000,0.7.20,54.0,mljar-supervised,,,,,9.0,9.0,https://pypi.org/project/mljar-supervised,2021-01-14 20:46:00.000000,,2881.0,2881.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n590,keras-ocr,faustomorales/keras-ocr,,ocr,https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50.000000,2020-12-11 02:31:17.000000,2020-11-26 17:18:25.000000,168,28.0,96.0,741,161.0,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,9.0,20,True,2020-11-26 17:19:39.000000,0.8.6,26.0,keras-ocr,,,,['tensorflow'],1.0,,https://pypi.org/project/keras-ocr,2020-11-26 17:19:39.000000,1.0,1493.0,4965.0,,,,,,,,3.0,13890.0,,,,,,,,,,,,,,,,,,,,\n591,rows,turicas/rows,,data-loading,https://github.com/turicas/rows,https://github.com/turicas/rows,LGPL-3.0,2014-05-07 05:43:11.000000,2021-01-06 07:49:45.000000,2020-12-16 09:47:31.000000,130,138.0,149.0,731,738.0,\"A common, beautiful interface to tabular data, no matter the format.\",30.0,20,False,2019-02-14 21:20:15.000000,0.4.1,9.0,rows,,,,,135.0,114.0,https://pypi.org/project/rows,2019-02-14 21:12:03.000000,21.0,746.0,746.0,,,,,,,,3.0,36.0,,,,,,,,,,,,,,,,,,,,\n592,Madmom,CPJKU/madmom,,audio,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06.000000,2020-04-14 03:42:18.000000,2019-12-19 14:46:37.000000,120,54.0,177.0,705,1722.0,Python audio and music signal processing library.,19.0,20,False,2018-11-14 14:57:41.000000,0.16.1,11.0,madmom,,,,,148.0,114.0,https://pypi.org/project/madmom,2018-11-14 14:56:22.000000,34.0,950.0,950.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n593,RecBole,RUCAIBox/RecBole,,recommender-systems,https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000000,2021-01-17 07:03:24.000000,2021-01-17 04:14:30.000000,98,24.0,47.0,701,2631.0,\"A unified, comprehensive and efficient recommendation library.\",27.0,20,True,2021-01-14 05:21:22.000000,0.2.0,4.0,recbole,aibox/recbole,,,['pytorch'],,,https://pypi.org/project/recbole,2021-01-14 05:21:22.000000,,103.0,191.0,https://anaconda.org/aibox/recbole,2021-01-14 06:11:03.469000,176.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n594,NeuPy,itdxer/neupy,,ml-frameworks,https://github.com/itdxer/neupy,https://github.com/itdxer/neupy,MIT,2015-08-24 19:45:11.000000,2020-01-15 08:04:33.000000,2019-09-02 19:02:38.000000,143,26.0,229.0,662,1145.0,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,6.0,20,False,2019-04-04 19:44:59.000000,0.8.2,34.0,neupy,,,,,110.0,100.0,https://pypi.org/project/neupy,2019-04-04 19:43:06.000000,10.0,841.0,841.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n595,NearPy,pixelogik/NearPy,,nn-search,https://github.com/pixelogik/NearPy,https://github.com/pixelogik/NearPy,MIT,2013-04-25 09:10:26.000000,2020-02-17 20:24:08.000000,2018-10-21 17:54:28.000000,135,22.0,38.0,658,159.0,\"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..\",18.0,20,False,2016-09-27 13:04:44.000000,1.0.0,8.0,NearPy,,,,,63.0,48.0,https://pypi.org/project/NearPy,2016-09-27 13:03:12.000000,15.0,1691.0,1691.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n596,finetune,IndicoDataSolutions/finetune,,nlp,https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16.000000,2021-01-16 12:29:52.000000,2021-01-06 19:43:32.000000,67,18.0,115.0,630,1201.0,Scikit-learn style model finetuning for NLP.,18.0,20,True,2019-11-07 19:42:32.000000,0.8.6,37.0,finetune,,,,\"['tensorflow', 'sklearn']\",11.0,9.0,https://pypi.org/project/finetune,2020-01-10 22:42:24.000000,2.0,154.0,154.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n597,TensorBoard Logger,TeamHG-Memex/tensorboard_logger,,ml-experiments,https://github.com/TeamHG-Memex/tensorboard_logger,https://github.com/TeamHG-Memex/tensorboard_logger,MIT,2016-10-27 14:02:25.000000,2020-10-27 20:51:06.000000,2019-10-21 07:52:07.000000,52,9.0,15.0,609,46.0,Log TensorBoard events without touching TensorFlow.,5.0,20,False,2018-02-08 07:28:51.000000,0.1.0,5.0,tensorboard_logger,,,,,42.0,,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51.000000,42.0,75133.0,75133.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n598,pdpipe,pdpipe/pdpipe,,data-pipelines,https://github.com/pdpipe/pdpipe,https://github.com/pdpipe/pdpipe,MIT,2017-01-24 20:37:22.000000,2020-11-17 08:57:21.000000,2020-11-17 08:57:20.000000,29,6.0,14.0,576,341.0,Easy pipelines for pandas DataFrames.,8.0,20,True,2020-11-09 09:32:37.000000,0.0.53,49.0,pdpipe,,,,['pandas'],23.0,23.0,https://pypi.org/project/pdpipe,2020-11-09 09:32:37.000000,,803.0,803.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n599,torch-scatter,rusty1s/pytorch_scatter,,pytorch-utils,https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23.000000,2021-01-15 10:29:12.000000,2021-01-15 10:29:11.000000,73,57.0,109.0,576,808.0,PyTorch Extension Library of Optimized Scatter Operations.,14.0,20,True,2020-06-24 09:29:12.000000,2.0.5,24.0,torch-scatter,,,,['pytorch'],16.0,,https://pypi.org/project/torch-scatter,2020-02-22 16:51:10.000000,16.0,4910.0,4910.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n600,Mapbox GL,mapbox/mapboxgl-jupyter,,geospatial-data,https://github.com/mapbox/mapboxgl-jupyter,https://github.com/mapbox/mapboxgl-jupyter,MIT,2017-08-08 15:10:51.000000,2019-12-13 22:49:07.000000,2019-12-03 21:57:25.000000,119,34.0,67.0,553,220.0,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,20.0,20,False,2019-06-03 21:24:10.000000,0.10.2,20.0,mapboxgl,,,,['jupyter'],107.0,89.0,https://pypi.org/project/mapboxgl,2019-06-02 15:18:57.000000,18.0,4454.0,4454.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n601,bambi,bambinos/bambi,,probabilistics,https://github.com/bambinos/bambi,https://github.com/bambinos/bambi,MIT,2016-05-16 03:21:00.000000,2021-01-15 13:15:15.000000,2021-01-15 13:13:26.000000,50,26.0,128.0,537,521.0,BAyesian Model-Building Interface (Bambi) in Python.,15.0,20,True,2020-12-17 01:23:21.000000,0.3.0,10.0,bambi,,,,,11.0,8.0,https://pypi.org/project/bambi,2020-12-17 01:23:21.000000,3.0,216.0,216.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n602,alibi-detect,SeldonIO/alibi-detect,,others,https://github.com/SeldonIO/alibi-detect,https://github.com/SeldonIO/alibi-detect,Apache-2.0,2019-10-07 13:29:13.000000,2021-01-06 15:19:17.000000,2021-01-05 15:58:41.000000,53,30.0,41.0,521,307.0,\"Algorithms for outlier and adversarial instance detection, concept drift and metrics.\",7.0,20,True,2020-12-23 10:49:47.000000,0.4.4,9.0,alibi-detect,,,,,18.0,17.0,https://pypi.org/project/alibi-detect,2020-10-08 09:57:19.000000,1.0,1007.0,1007.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n603,deeplift,kundajelab/deeplift,,interpretability,https://github.com/kundajelab/deeplift,https://github.com/kundajelab/deeplift,MIT,2016-06-01 02:18:06.000000,2020-11-11 19:56:24.000000,2020-11-11 19:56:23.000000,118,29.0,46.0,497,551.0,Public facing deeplift repo.,11.0,20,True,2018-07-13 21:11:52.000000,0.6.6,21.0,deeplift,,,,,45.0,43.0,https://pypi.org/project/deeplift,2020-11-11 09:32:57.000000,2.0,452.0,452.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n604,Labml,lab-ml/labml,,ml-experiments,https://github.com/lab-ml/labml,https://github.com/lab-ml/labml,MIT,2018-11-16 09:34:48.000000,2021-01-15 17:32:20.000000,2021-01-15 17:32:14.000000,33,,6.0,355,886.0,Monitor PyTorch & TensorFlow model training from your mobile phone.,5.0,20,True,2021-01-15 17:12:59.000000,0.4.90,67.0,labml,,,,,20.0,20.0,https://pypi.org/project/labml,2021-01-15 17:12:59.000000,0.0,975.0,975.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n605,pydlm,wwrechard/pydlm,,time-series-data,https://github.com/wwrechard/pydlm,https://github.com/wwrechard/pydlm,BSD-3-Clause,2016-06-29 07:58:53.000000,2020-07-26 21:00:50.000000,2019-10-22 07:18:40.000000,80,32.0,7.0,351,362.0,A python library for Bayesian time series modeling.,6.0,20,False,2016-11-06 01:43:35.000000,0.1.1,13.0,pydlm,,,,,16.0,16.0,https://pypi.org/project/pydlm,2018-12-19 10:27:54.000000,,15260.0,15260.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n606,skope-rules,scikit-learn-contrib/skope-rules,,sklearn-utils,https://github.com/scikit-learn-contrib/skope-rules,https://github.com/scikit-learn-contrib/skope-rules,BSD-1-Clause,2018-02-18 13:42:47.000000,2020-12-11 14:42:41.000000,2020-10-23 14:31:57.000000,58,23.0,4.0,350,247.0,machine learning with logical rules in Python.,18.0,20,False,2020-12-11 09:37:02.000000,1.0.1,4.0,skope-rules,,,,['sklearn'],28.0,25.0,https://pypi.org/project/skope-rules,2020-01-25 12:01:37.000000,3.0,3889.0,3889.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n607,MedPy,loli/medpy,,medical-data,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34.000000,2020-05-01 15:25:39.000000,2020-05-01 15:25:38.000000,104,8.0,65.0,309,324.0,Medical image processing in Python.,13.0,20,False,2019-02-14 17:12:59.000000,0.4.0,6.0,MedPy,,,,,224.0,217.0,https://pypi.org/project/MedPy,2019-02-14 17:12:59.000000,7.0,2344.0,2344.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n608,scikit-rebate,EpistasisLab/scikit-rebate,,others,https://github.com/EpistasisLab/scikit-rebate,https://github.com/EpistasisLab/scikit-rebate,MIT,2016-09-19 13:36:17.000000,2020-08-21 15:39:02.000000,2020-07-18 19:05:12.000000,55,15.0,17.0,302,281.0,\"A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for..\",13.0,20,True,2017-04-12 16:12:01.000000,0.3.4,11.0,skrebate,,,,['sklearn'],148.0,117.0,https://pypi.org/project/skrebate,2020-07-18 19:16:45.000000,31.0,1168.0,1168.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n609,Submit it,facebookincubator/submitit,,distributed-ml,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09.000000,2021-01-15 15:08:42.000000,2021-01-15 15:08:17.000000,17,9.0,14.0,290,42.0,Python 3.6+ toolbox for submitting jobs to Slurm.,9.0,20,True,2020-11-19 12:53:49.000000,1.1.5,8.0,submitit,conda-forge/submitit,,,,75.0,75.0,https://pypi.org/project/submitit,2020-12-01 08:14:16.000000,0.0,2129.0,2286.0,https://anaconda.org/conda-forge/submitit,2020-11-19 14:06:58.416000,788.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n610,sklearn-evaluation,edublancas/sklearn-evaluation,,interpretability,https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2015-09-04 16:33:42.000000,2020-12-28 15:14:00.000000,2020-12-28 15:10:09.000000,25,8.0,27.0,286,504.0,\"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook..\",5.0,20,True,2020-12-28 15:14:25.000000,0.5.4,16.0,sklearn-evaluation,,,,['sklearn'],28.0,26.0,https://pypi.org/project/sklearn-evaluation,2020-12-28 15:13:44.000000,2.0,207.0,207.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n611,rrcf,kLabUM/rrcf,,others,https://github.com/kLabUM/rrcf,https://github.com/kLabUM/rrcf,MIT,2018-10-20 05:39:05.000000,2021-01-13 23:05:23.000000,2020-06-10 01:07:39.000000,65,16.0,17.0,277,253.0,Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams.,4.0,20,True,2020-06-10 01:53:55.000000,0.4.3,7.0,rrcf,,,,,15.0,15.0,https://pypi.org/project/rrcf,2020-06-10 01:53:55.000000,,2074.0,2074.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n612,impyute,eltonlaw/impyute,,others,https://github.com/eltonlaw/impyute,https://github.com/eltonlaw/impyute,MIT,2017-01-21 09:16:27.000000,2020-06-12 21:08:40.000000,2019-10-05 20:39:08.000000,41,26.0,36.0,265,289.0,Data imputations library to preprocess datasets with missing data.,9.0,20,False,2019-04-29 02:31:32.000000,0.0.8,8.0,impyute,,,,,76.0,75.0,https://pypi.org/project/impyute,2019-04-29 02:31:32.000000,1.0,1767.0,1767.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n613,fletcher,xhochy/fletcher,,data-containers,https://github.com/xhochy/fletcher,https://github.com/xhochy/fletcher,MIT,2018-03-04 16:44:22.000000,2021-01-10 14:41:21.000000,2020-12-29 11:55:14.000000,32,33.0,39.0,207,509.0,Pandas ExtensionDType/Array backed by Apache Arrow.,23.0,20,True,2020-12-29 11:55:52.000000,0.7.1,14.0,fletcher,conda-forge/fletcher,,,['pandas'],3.0,3.0,https://pypi.org/project/fletcher,2020-12-07 20:33:59.000000,0.0,273.0,884.0,https://anaconda.org/conda-forge/fletcher,2020-12-29 14:05:18.481000,18317.0,,,,,3.0,12.0,,,,,,,,,,,,,,,,,,,,\n614,StaticFrame,InvestmentSystems/static-frame,,data-containers,https://github.com/InvestmentSystems/static-frame,https://github.com/InvestmentSystems/static-frame,MIT,2018-01-03 15:07:52.000000,2021-01-16 19:01:40.000000,2021-01-16 19:01:17.000000,20,33.0,236.0,206,2230.0,\"The StaticFrame library defines the Series and Frame, immutable data structures for one- and two-dimensional..\",14.0,20,True,2021-01-12 19:32:36.000000,0.7.13,96.0,static-frame,conda-forge/static-frame,,,,5.0,5.0,https://pypi.org/project/static-frame,2021-01-12 19:31:15.000000,,1075.0,3693.0,https://anaconda.org/conda-forge/static-frame,2021-01-12 21:46:54.764000,60218.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n615,Auto ViML,AutoViML/Auto_ViML,,hyperopt,https://github.com/AutoViML/Auto_ViML,https://github.com/AutoViML/Auto_ViML,Apache-2.0,2019-06-10 13:09:15.000000,2021-01-15 14:52:54.000000,2021-01-15 14:48:07.000000,52,3.0,13.0,197,284.0,Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome...,6.0,20,True,2021-01-04 21:54:14.000000,0.1.677,126.0,autoviml,,,,,13.0,13.0,https://pypi.org/project/autoviml,2021-01-15 14:52:54.000000,,515.0,515.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n616,scikit-posthocs,maximtrp/scikit-posthocs,,probabilistics,https://github.com/maximtrp/scikit-posthocs,https://github.com/maximtrp/scikit-posthocs,MIT,2017-06-22 19:41:37.000000,2020-10-19 08:16:22.000000,2020-10-19 08:16:21.000000,18,4.0,31.0,169,430.0,Pairwise Multiple Comparisons (Post Hoc) Tests in Python.,7.0,20,True,2020-10-12 19:15:07.000000,0.6.6,20.0,scikit-posthocs,,,,['sklearn'],103.0,100.0,https://pypi.org/project/scikit-posthocs,2020-10-12 19:06:51.000000,3.0,7845.0,7845.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,,,\n617,stop-words,Alir3z4/python-stop-words,,nlp,https://github.com/Alir3z4/python-stop-words,https://github.com/Alir3z4/python-stop-words,BSD-3-Clause,2014-05-26 06:44:03.000000,2019-10-16 15:01:43.000000,2018-07-23 21:04:09.000000,20,3.0,9.0,121,90.0,Get list of common stop words in various languages in Python.,8.0,20,False,2018-07-23 20:58:34.000000,2018.7.23,8.0,stop-words,,,,,1266.0,1062.0,https://pypi.org/project/stop-words,2018-07-23 20:55:55.000000,204.0,39419.0,39419.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n618,graph-nets,deepmind/graph_nets,,graph,https://github.com/deepmind/graph_nets,https://github.com/deepmind/graph_nets,Apache-2.0,2018-08-31 08:19:28.000000,2020-12-04 17:43:48.000000,2020-12-04 17:43:47.000000,716,9.0,102.0,4746,47.0,Build Graph Nets in Tensorflow.,10.0,19,True,2020-01-29 16:00:25.000000,1.1.0,7.0,graph-nets,,,,['tensorflow'],7.0,,https://pypi.org/project/graph-nets,2020-01-29 16:00:25.000000,7.0,716.0,716.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n619,Qlib,microsoft/qlib,,financial-data,https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000000,2021-01-17 12:11:35.000000,2021-01-14 10:42:33.000000,563,54.0,47.0,3680,,\"Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research,..\",27.0,19,True,2020-12-12 09:59:16.000000,0.6.1,15.0,pyqlib,,,,['pytorch'],,,https://pypi.org/project/pyqlib,2020-12-12 09:59:16.000000,,1882.0,1930.0,,,,,,,,3.0,192.0,,,,,,,,,,,,,,,,,,,,\n620,AdaBound,Luolc/AdaBound,,pytorch-utils,https://github.com/Luolc/AdaBound,https://github.com/Luolc/AdaBound,Apache-2.0,2019-02-15 18:05:20.000000,2019-03-06 17:01:52.000000,2019-03-06 17:01:45.000000,317,16.0,7.0,2826,27.0,An optimizer that trains as fast as Adam and as good as SGD.,2.0,19,False,2019-03-06 16:44:42.000000,0.0.5,4.0,adabound,,,,['pytorch'],100.0,94.0,https://pypi.org/project/adabound,2019-02-26 04:23:45.000000,6.0,852.0,852.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n621,BytePS,bytedance/byteps,,distributed-ml,https://github.com/bytedance/byteps,https://github.com/bytedance/byteps,Apache-2.0,2019-06-25 07:00:13.000000,2021-01-16 06:11:54.000000,2021-01-10 09:04:27.000000,363,70.0,139.0,2655,410.0,A high performance and generic framework for distributed DNN training.,16.0,19,True,2020-08-27 15:42:13.000000,0.2.4,7.0,byteps,,bytepsimage/tensorflow,,,,,https://pypi.org/project/byteps,2020-11-04 00:05:46.000000,,52.0,102.0,,,,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,958.0,3.0,,,,,,,,,,,,,,,,,,,,,\n622,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,,graph,https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16.000000,2021-01-15 20:57:46.000000,2020-12-18 18:07:13.000000,358,31.0,99.0,2644,141.0,Generate embeddings from large-scale graph-structured data.,19.0,19,True,2019-10-14 16:45:11.000000,1.0.0,3.0,torchbiggraph,,,,['pytorch'],4.0,,https://pypi.org/project/torchbiggraph,2019-05-01 21:31:13.000000,4.0,230.0,234.0,,,,,,,,3.0,101.0,,,,,,,,,,,,,,,,,,,,\n623,vit-pytorch,lucidrains/vit-pytorch,,image,https://github.com/lucidrains/vit-pytorch,https://github.com/lucidrains/vit-pytorch,MIT,2020-10-03 22:47:24.000000,2021-01-12 14:55:45.000000,2021-01-12 14:55:45.000000,194,22.0,37.0,2241,,\"Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single..\",4.0,19,True,2021-01-11 18:49:51.000000,0.6.6,24.0,vit-pytorch,,,,['pytorch'],4.0,4.0,https://pypi.org/project/vit-pytorch,2021-01-11 18:49:51.000000,,1239.0,1239.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n624,Apache Singa,apache/singa,,distributed-ml,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000000,2021-01-15 17:57:15.862000,2021-01-15 13:09:22.000000,571,49.0,32.0,2166,2265.0,a distributed deep learning platform.,70.0,19,True,2020-04-21 08:01:08.000000,3.0.0,14.0,,nusdbsystem/singa,apache/singa,,,,,,,,,7.0,https://anaconda.org/nusdbsystem/singa,2021-01-15 17:57:15.862000,249.0,https://hub.docker.com/r/apache/singa,2019-06-04 04:32:52.195956,2.0,165.0,3.0,,,,,,,,,,,,,,,,,,,,,\n625,DeepWalk,phanein/deepwalk,,graph,https://github.com/phanein/deepwalk,https://github.com/phanein/deepwalk,GPL-3.0,2014-08-23 03:38:20.000000,2020-04-02 01:05:36.000000,2020-04-02 01:05:35.000000,755,29.0,78.0,2158,46.0,DeepWalk - Deep Learning for Graphs.,10.0,19,False,2018-04-29 21:05:18.000000,1.0.3,4.0,deepwalk,,,,,42.0,35.0,https://pypi.org/project/deepwalk,2018-04-29 21:05:18.000000,7.0,1189.0,1189.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n626,Kashgari,BrikerMan/Kashgari,,nlp,https://github.com/BrikerMan/Kashgari,https://github.com/BrikerMan/Kashgari,Apache-2.0,2019-01-19 01:53:28.000000,2020-12-09 02:13:33.000000,2020-10-29 08:08:00.000000,377,32.0,300.0,2002,,Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-..,19.0,19,True,2020-10-30 12:37:01.000000,2.0.1,23.0,kashgari-tf,,,,['tensorflow'],20.0,19.0,https://pypi.org/project/kashgari-tf,2019-06-26 12:27:50.000000,1.0,124.0,124.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n627,Coach,IntelLabs/coach,,reinforcement-learning,https://github.com/IntelLabs/coach,https://github.com/IntelLabs/coach,Apache-2.0,2017-10-01 19:27:43.000000,2020-12-21 12:46:30.000000,2020-12-15 08:02:16.000000,374,80.0,181.0,1893,512.0,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,34.0,19,True,2019-10-10 14:17:10.000000,1.0.1,13.0,rl_coach,,,,,1.0,,https://pypi.org/project/rl_coach,2019-10-10 14:17:10.000000,1.0,120.0,120.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n628,HiPlot,facebookresearch/hiplot,,data-viz,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41.000000,2021-01-11 09:04:54.000000,2021-01-11 08:56:16.000000,89,6.0,41.0,1888,110.0,HiPlot makes understanding high dimensional data easy.,6.0,19,True,2020-11-30 11:40:56.000000,0.1.22,33.0,hiplot,conda-forge/hiplot,,,,2.0,2.0,https://pypi.org/project/hiplot,2020-12-23 15:11:20.000000,0.0,1878.0,5589.0,https://anaconda.org/conda-forge/hiplot,2020-12-23 17:16:15.884000,40826.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n629,cuML,rapidsai/cuml,,gpu-utilities,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000000,2021-01-17 02:19:44.000000,2021-01-16 01:37:30.000000,300,629.0,880.0,1885,,cuML - RAPIDS Machine Learning Library.,121.0,19,True,2020-12-10 21:50:49.000000,0.17.0,5.0,cuml,,,,,,,https://pypi.org/project/cuml,2019-04-11 16:57:48.000000,,283.0,283.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n630,tf-quant-finance,google/tf-quant-finance,,financial-data,https://github.com/google/tf-quant-finance,https://github.com/google/tf-quant-finance,Apache-2.0,2019-07-24 16:09:50.000000,2021-01-15 14:00:09.000000,2021-01-15 14:00:00.000000,248,9.0,10.0,1418,612.0,High-performance TensorFlow library for quantitative finance.,29.0,19,True,,,20.0,tf-quant-finance,,,,['tensorflow'],4.0,4.0,https://pypi.org/project/tf-quant-finance,2020-09-18 21:02:09.000000,,105.0,105.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n631,DLTK,DLTK/DLTK,,medical-data,https://github.com/DLTK/DLTK,https://github.com/DLTK/DLTK,Apache-2.0,2017-05-02 15:40:36.000000,2021-01-15 01:31:30.000000,2019-01-21 14:01:28.000000,380,7.0,24.0,1233,379.0,Deep Learning Toolkit for Medical Image Analysis.,9.0,19,False,,,5.0,dltk,,,,['tensorflow'],17.0,17.0,https://pypi.org/project/dltk,2018-02-26 17:43:57.000000,,47.0,47.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n632,doc2text,jlsutherland/doc2text,,ocr,https://github.com/jlsutherland/doc2text,https://github.com/jlsutherland/doc2text,MIT,2016-08-28 19:30:02.000000,2020-12-01 22:56:27.000000,2020-12-01 22:56:26.000000,92,12.0,9.0,1226,62.0,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,5.0,19,True,2016-09-06 21:59:21.000000,0.2.4,5.0,doc2text,,,,,32.0,32.0,https://pypi.org/project/doc2text,2016-09-06 21:59:21.000000,,226.0,226.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n633,Sweetviz,fbdesignpro/sweetviz,,data-viz,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47.000000,2020-12-10 14:32:35.000000,2020-12-10 14:30:47.000000,134,21.0,43.0,1195,77.0,\"Visualize and compare datasets, target values and associations, with one line of code.\",6.0,19,True,2020-12-10 14:32:35.000000,2.0.4,22.0,sweetviz,,,,,,,https://pypi.org/project/sweetviz,2020-12-10 14:32:35.000000,,7221.0,7221.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n634,TaskTiger,closeio/tasktiger,,data-pipelines,https://github.com/closeio/tasktiger,https://github.com/closeio/tasktiger,MIT,2015-05-14 00:26:32.000000,2021-01-14 19:17:24.000000,2020-12-17 16:07:11.000000,58,30.0,31.0,1038,250.0,Python task queue using Redis.,19.0,19,True,2019-10-29 19:32:58.000000,0.10.1,22.0,tasktiger,,,,,28.0,19.0,https://pypi.org/project/tasktiger,2020-06-18 22:08:56.000000,9.0,329.0,329.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n635,Torch Points 3D,nicolas-chaulet/torch-points3d,,image,https://github.com/nicolas-chaulet/torch-points3d,https://github.com/nicolas-chaulet/torch-points3d,BSD-3-Clause,2019-12-06 11:33:34.000000,2021-01-16 15:27:28.000000,2021-01-15 17:51:56.000000,148,41.0,152.0,999,1569.0,Pytorch framework for doing deep learning on point clouds.,19.0,19,True,2020-12-18 10:33:50.000000,1.2.0,13.0,torch-points3d,,,,['pytorch'],2.0,2.0,https://pypi.org/project/torch-points3d,2020-12-18 10:34:16.000000,,269.0,269.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n636,gplearn,trevorstephens/gplearn,,others,https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14.000000,2020-02-15 08:12:38.000000,2020-02-15 08:12:17.000000,151,28.0,114.0,903,146.0,\"Genetic Programming in Python, with a scikit-learn inspired API.\",10.0,19,True,2019-06-01 02:04:52.000000,0.4.1,5.0,gplearn,,,,['sklearn'],130.0,123.0,https://pypi.org/project/gplearn,2019-06-01 02:04:52.000000,7.0,998.0,998.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n637,Databolt Flow,d6t/d6tflow,,data-pipelines,https://github.com/d6t/d6tflow,https://github.com/d6t/d6tflow,MIT,2019-02-03 01:51:22.000000,2021-01-01 18:15:45.000000,2020-12-19 21:46:11.000000,64,5.0,11.0,891,106.0,Python library for building highly effective data science workflows.,10.0,19,True,2020-10-19 04:14:45.000000,0.2.2,19.0,d6tflow,,,,,12.0,12.0,https://pypi.org/project/d6tflow,2020-12-19 22:37:20.000000,,164.0,164.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n638,geoplotlib,andrea-cuttone/geoplotlib,,geospatial-data,https://github.com/andrea-cuttone/geoplotlib,https://github.com/andrea-cuttone/geoplotlib,MIT,2015-02-24 13:13:07.000000,2020-04-10 20:00:31.000000,2019-05-06 07:06:50.000000,144,23.0,18.0,887,159.0,python toolbox for visualizing geographical data and making maps.,8.0,19,False,2016-07-27 14:55:01.000000,0.3.2,4.0,geoplotlib,,,,,95.0,86.0,https://pypi.org/project/geoplotlib,2016-07-27 14:55:01.000000,9.0,720.0,720.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n639,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,,pytorch-utils,https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000000,2021-01-14 11:53:14.000000,2021-01-14 11:53:13.000000,71,3.0,14.0,875,610.0,PyTorch extensions for fast R&D prototyping and Kaggle farming.,5.0,19,True,2021-01-14 10:42:46.000000,0.4.1,19.0,pytorch_toolbelt,,,,['pytorch'],1.0,,https://pypi.org/project/pytorch_toolbelt,2021-01-14 10:42:46.000000,1.0,6415.0,6415.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n640,Paddle Graph Learning,PaddlePaddle/PGL,,graph,https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28.000000,2020-12-29 02:54:01.000000,2020-12-14 07:02:53.000000,115,14.0,28.0,873,349.0,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,17.0,19,True,2020-12-18 16:59:53.000000,2.0.0a,6.0,pgl,,,,['paddle'],11.0,9.0,https://pypi.org/project/pgl,2020-11-20 06:23:47.000000,2.0,528.0,528.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n641,TensorFrames,databricks/tensorframes,,distributed-ml,https://github.com/databricks/tensorframes,https://github.com/databricks/tensorframes,Apache-2.0,2016-03-04 19:25:19.000000,2020-11-13 17:47:02.000000,2019-11-15 21:43:53.000000,159,51.0,43.0,768,221.0,[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark.,16.0,19,False,2018-11-16 20:50:02.000000,0.6.0,6.0,tensorframes,,,,\"['tensorflow', 'spark']\",,,https://pypi.org/project/tensorframes,2018-05-16 14:20:28.000000,,4568.0,4568.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n642,tffm,geffy/tffm,,tensorflow-utils,https://github.com/geffy/tffm,https://github.com/geffy/tffm,MIT,2016-05-02 17:06:07.000000,2020-05-22 21:40:58.000000,2020-05-22 21:40:57.000000,173,17.0,20.0,754,106.0,TensorFlow implementation of an arbitrary order Factorization Machine.,10.0,19,True,2018-01-27 11:43:26.000000,1.0.1,2.0,tffm,,,,['tensorflow'],10.0,9.0,https://pypi.org/project/tffm,2018-01-27 11:43:26.000000,1.0,1221.0,1221.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n643,TabNet,dreamquark-ai/tabnet,,pytorch-utils,https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000000,2021-01-12 20:42:57.000000,2021-01-12 18:17:44.000000,138,31.0,96.0,739,164.0,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,17.0,19,True,2021-01-12 18:18:02.000000,3.1.0,16.0,pytorch-tabnet,,,,['pytorch'],,,https://pypi.org/project/pytorch-tabnet,2021-01-12 18:18:02.000000,,2346.0,2346.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n644,YouTokenToMe,vkcom/youtokentome,,nlp,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28.000000,2020-10-01 23:24:11.000000,2020-02-13 09:49:37.000000,42,21.0,20.0,707,76.0,Unsupervised text tokenizer focused on computational efficiency.,6.0,19,True,2020-02-13 09:57:47.000000,1.0.6,14.0,youtokentome,,,,,100.0,94.0,https://pypi.org/project/youtokentome,2020-02-12 18:24:46.000000,6.0,5422.0,5422.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n645,TF Recommenders,tensorflow/recommenders,,recommender-systems,https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01.000000,2021-01-15 18:35:29.000000,2021-01-15 18:35:18.000000,71,36.0,43.0,690,,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,17.0,19,True,2020-12-22 19:24:59.000000,0.3.2,7.0,tensorflow-recommenders,,,,['tensorflow'],10.0,10.0,https://pypi.org/project/tensorflow-recommenders,2020-12-22 19:24:59.000000,,3332.0,3332.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n646,mlens,flennerhag/mlens,,others,https://github.com/flennerhag/mlens,https://github.com/flennerhag/mlens,MIT,2017-01-10 20:53:47.000000,2020-02-25 14:32:48.000000,2020-02-25 14:31:53.000000,81,8.0,73.0,668,879.0,ML-Ensemble high performance ensemble learning.,7.0,19,True,2018-10-30 22:34:35.000000,0.2.3,14.0,mlens,,,,,99.0,99.0,https://pypi.org/project/mlens,2018-10-30 22:30:43.000000,,1038.0,1038.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n647,Test Tube,williamFalcon/test-tube,,hyperopt,https://github.com/williamFalcon/test-tube,https://github.com/williamFalcon/test-tube,MIT,2017-09-06 02:14:57.000000,2020-04-11 20:36:36.000000,2020-03-17 22:44:47.000000,59,23.0,21.0,647,642.0,Python library to easily log experiments and parallelize hyperparameter search for neural networks.,16.0,19,True,2019-12-01 00:47:35.000000,0.7.4,53.0,test_tube,,,,,5.0,,https://pypi.org/project/test_tube,2018-12-12 22:45:59.000000,5.0,8955.0,8955.0,,,,,,,,3.0,7.0,,,,,,,,,,,,,,,,,,,,\n648,FairScale,facebookresearch/fairscale,,distributed-ml,https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000000,2021-01-16 08:58:48.000000,2021-01-16 00:56:20.000000,43,30.0,56.0,637,202.0,PyTorch extensions for high performance and large scale training.,18.0,19,True,2021-01-07 18:59:10.000000,0.1.4,8.0,fairscale,,,,['pytorch'],2.0,2.0,https://pypi.org/project/fairscale,2021-01-07 18:16:47.000000,,1232.0,1232.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n649,pytorch-forecasting,jdb78/pytorch-forecasting,,time-series-data,https://github.com/jdb78/pytorch-forecasting,https://github.com/jdb78/pytorch-forecasting,MIT,2020-07-03 13:05:24.000000,2021-01-16 14:06:24.000000,2021-01-13 10:51:34.000000,65,27.0,65.0,627,601.0,Time series forecasting with PyTorch.,11.0,19,True,2021-01-12 21:10:06.000000,0.8.2,23.0,pytorch-forecasting,,,,,,,https://pypi.org/project/pytorch-forecasting,2021-01-12 21:10:06.000000,,2895.0,2895.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n650,NGT,yahoojapan/NGT,,nn-search,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000000,2021-01-16 05:48:57.000000,2021-01-16 05:45:04.000000,67,8.0,66.0,607,116.0,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,10.0,19,True,2021-01-12 23:33:02.000000,1.12.3,46.0,ngt,,,,,3.0,,https://pypi.org/project/ngt,2020-09-23 06:52:45.000000,3.0,2941.0,2941.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n651,matrixprofile-ts,target/matrixprofile-ts,,time-series-data,https://github.com/target/matrixprofile-ts,https://github.com/target/matrixprofile-ts,Apache-2.0,2018-09-10 19:03:34.000000,2020-04-25 18:38:20.000000,2020-04-25 18:37:42.000000,90,19.0,33.0,604,198.0,A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile.,15.0,19,True,2019-08-08 01:24:38.000000,0.0.9,9.0,matrixprofile-ts,,,,,11.0,11.0,https://pypi.org/project/matrixprofile-ts,2019-08-08 01:24:38.000000,,2524.0,2524.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n652,baikal,alegonz/baikal,,others,https://github.com/alegonz/baikal,https://github.com/alegonz/baikal,BSD-3-Clause,2019-01-21 12:59:02.000000,2021-01-07 23:27:00.000000,2020-11-15 13:39:20.000000,28,4.0,11.0,569,393.0,A graph-based functional API for building complex scikit-learn pipelines.,1.0,19,True,2020-05-17 12:40:17.000000,0.4.2,7.0,baikal,conda-forge/cython-blis,,,,3.0,3.0,https://pypi.org/project/baikal,2020-11-15 13:40:18.000000,,31.0,17604.0,https://anaconda.org/conda-forge/cython-blis,2020-12-07 11:23:01.451000,386626.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n653,PFRL,pfnet/pfrl,,reinforcement-learning,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50.000000,2021-01-12 21:15:44.000000,2021-01-06 00:43:43.000000,60,22.0,21.0,492,319.0,PFRL: a PyTorch-based deep reinforcement learning library.,10.0,19,True,2020-12-17 04:57:58.000000,0.2.1,4.0,pfrl,,,,,4.0,4.0,https://pypi.org/project/pfrl,2020-12-17 05:00:25.000000,,437.0,437.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n654,iterative-stratification,trent-b/iterative-stratification,,sklearn-utils,https://github.com/trent-b/iterative-stratification,https://github.com/trent-b/iterative-stratification,BSD-3-Clause,2018-02-04 00:32:10.000000,2020-09-12 15:32:44.000000,2020-09-12 15:35:02.000000,44,1.0,10.0,491,47.0,scikit-learn cross validators for iterative stratification of multilabel data.,4.0,19,True,2018-08-12 18:12:43.000000,0.1.6,5.0,iterative-stratification,,,,['sklearn'],99.0,99.0,https://pypi.org/project/iterative-stratification,2018-08-12 18:28:50.000000,,2723.0,2723.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n655,lets-plot,JetBrains/lets-plot,,data-viz,https://github.com/JetBrains/lets-plot,https://github.com/JetBrains/lets-plot,MIT,2019-03-20 16:13:03.000000,2021-01-15 22:27:26.000000,2021-01-15 22:27:21.000000,16,40.0,71.0,477,1730.0,An open-source plotting library for statistical data.,14.0,19,True,2020-12-23 21:48:58.000000,1.5.6,26.0,lets-plot,,,,,,,https://pypi.org/project/lets-plot,2020-12-23 21:38:29.000000,,5107.0,5107.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n656,N2,kakao/n2,,nn-search,https://github.com/kakao/n2,https://github.com/kakao/n2,Apache-2.0,2017-11-23 02:27:59.000000,2020-10-21 05:15:27.000000,2020-10-21 05:14:11.000000,51,17.0,22.0,450,242.0,TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets.,17.0,19,True,2020-10-16 03:43:47.000000,0.1.7,8.0,n2,,,,,14.0,12.0,https://pypi.org/project/n2,2020-10-16 02:48:11.000000,2.0,321.0,321.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n657,HpBandSter,automl/HpBandSter,,hyperopt,https://github.com/automl/HpBandSter,https://github.com/automl/HpBandSter,BSD-3-Clause,2017-12-17 20:28:20.000000,2020-09-06 09:54:54.000000,2019-03-26 09:26:28.000000,92,53.0,34.0,439,187.0,a distributed Hyperband implementation on Steroids.,11.0,19,False,2019-07-30 12:47:43.000000,1.0,6.0,hpbandster,,,,,123.0,107.0,https://pypi.org/project/hpbandster,2018-10-24 09:31:01.000000,16.0,4859.0,4859.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n658,Poutyne,GRAAL-Research/poutyne,,pytorch-utils,https://github.com/GRAAL-Research/poutyne,https://github.com/GRAAL-Research/poutyne,LGPL-3.0,2017-12-07 18:30:17.000000,2021-01-16 19:47:50.000000,2020-12-24 16:52:02.000000,47,12.0,33.0,422,495.0,A simplified framework and utilities for PyTorch.,15.0,19,False,2020-12-24 17:01:16.000000,1.2,18.0,poutyne,,,,['pytorch'],54.0,52.0,https://pypi.org/project/poutyne,2020-12-24 17:02:00.000000,2.0,829.0,829.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n659,Feature Engine,solegalli/feature_engine,,others,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2018-12-31 01:47:18.000000,2021-01-15 21:37:53.000000,2021-01-15 13:25:01.000000,126,27.0,71.0,419,102.0,Feature engineering package with sklearn like functionality.,20.0,19,True,2021-01-11 13:09:23.000000,1.0.1,24.0,feature_engine,conda-forge/feature_engine,,,,2.0,,https://pypi.org/project/feature_engine,2021-01-11 13:09:23.000000,2.0,13300.0,13538.0,https://anaconda.org/conda-forge/feature_engine,2021-01-11 14:21:26.008000,1193.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n660,pivottablejs,nicolaskruchten/jupyter_pivottablejs,,data-viz,https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,MIT,2015-09-09 13:39:18.000000,2018-12-04 14:43:26.000000,2018-12-04 14:43:25.000000,55,16.0,37.0,414,32.0,\"Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js.\",3.0,19,False,2018-01-15 18:14:37.000000,0.9.0,10.0,pivottablejs,,,,['jupyter'],155.0,141.0,https://pypi.org/project/pivottablejs,2018-01-15 18:14:37.000000,14.0,5633.0,5633.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n661,seglearn,dmbee/seglearn,,time-series-data,https://github.com/dmbee/seglearn,https://github.com/dmbee/seglearn,BSD-3-Clause,2018-03-05 20:53:59.000000,2021-01-16 23:27:36.000000,2021-01-16 23:21:41.000000,47,6.0,19.0,412,267.0,Python module for machine learning time series:.,13.0,19,True,2020-04-02 15:26:06.000000,1.2.1,20.0,seglearn,,,,,7.0,6.0,https://pypi.org/project/seglearn,2020-04-02 15:26:06.000000,1.0,1775.0,1775.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n662,animatplot,t-makaro/animatplot,,data-viz,https://github.com/t-makaro/animatplot,https://github.com/t-makaro/animatplot,MIT,2017-04-03 00:54:04.000000,2020-10-06 02:02:00.460000,2020-10-05 06:14:18.000000,33,16.0,15.0,353,178.0,A python package for animating plots build on matplotlib.,7.0,19,True,2020-10-05 06:20:52.000000,0.4.2,10.0,animatplot,conda-forge/animatplot,,,,15.0,14.0,https://pypi.org/project/animatplot,2020-10-05 06:20:52.000000,1.0,116.0,336.0,https://anaconda.org/conda-forge/animatplot,2020-10-06 02:02:00.460000,5067.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n663,MXBoard,awslabs/mxboard,,ml-experiments,https://github.com/awslabs/mxboard,https://github.com/awslabs/mxboard,Apache-2.0,2018-02-06 23:03:51.000000,2020-01-24 23:21:56.000000,2020-01-24 23:21:55.000000,46,16.0,15.0,330,42.0,Logging MXNet data for visualization in TensorBoard.,9.0,19,True,2018-05-22 20:25:51.000000,0.1.0,12.0,mxboard,,,,['mxnet'],94.0,93.0,https://pypi.org/project/mxboard,2018-05-22 20:25:51.000000,1.0,2377.0,2377.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n664,AutoViz,AutoViML/AutoViz,,data-viz,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06.000000,2020-12-21 03:22:01.000000,2020-12-21 03:21:52.000000,54,5.0,16.0,287,97.0,\"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..\",10.0,19,True,2020-12-10 02:33:19.000000,0.0.81,26.0,autoviz,,,,,26.0,26.0,https://pypi.org/project/autoviz,2020-12-10 02:33:19.000000,,913.0,913.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n665,PyKEEN,pykeen/pykeen,,graph,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000000,2021-01-17 12:14:54.000000,2021-01-15 13:08:09.000000,43,36.0,60.0,278,2256.0,A Python library for learning and evaluating knowledge graph embeddings.,17.0,19,True,2020-10-21 11:59:14.000000,1.0.5,31.0,pykeen,,,,,1.0,,https://pypi.org/project/pykeen,2020-08-25 14:33:23.000000,1.0,227.0,237.0,,,,,,,,3.0,73.0,,,,,,,,,,,,,,,,,,,,\n666,textpipe,textpipe/textpipe,,nlp,https://github.com/textpipe/textpipe,https://github.com/textpipe/textpipe,MIT,2018-06-21 16:23:32.000000,2021-01-11 08:42:34.000000,2020-10-12 08:19:03.000000,17,20.0,24.0,260,366.0,Textpipe: clean and extract metadata from text.,27.0,19,True,2020-10-12 08:24:19.000000,0.12.1,38.0,textpipe,,,,,8.0,7.0,https://pypi.org/project/textpipe,2020-10-12 08:24:19.000000,1.0,502.0,502.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n667,scikit-tda,scikit-tda/scikit-tda,,sklearn-utils,https://github.com/scikit-tda/scikit-tda,https://github.com/scikit-tda/scikit-tda,MIT,2018-04-13 21:00:31.000000,2021-01-09 19:51:04.000000,2021-01-09 19:50:05.000000,32,11.0,3.0,259,56.0,Topological Data Analysis for Python.,2.0,19,True,2021-01-09 19:51:04.000000,0.1.0,3.0,scikit-tda,,,,['sklearn'],18.0,18.0,https://pypi.org/project/scikit-tda,2021-01-09 19:51:04.000000,,4702.0,4702.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n668,explainerdashboard,oegedijk/explainerdashboard,,interpretability,https://github.com/oegedijk/explainerdashboard,https://github.com/oegedijk/explainerdashboard,MIT,2019-10-30 08:26:16.000000,2021-01-14 10:26:10.000000,2021-01-14 10:15:20.000000,37,9.0,46.0,247,490.0,Quickly build Explainable AI dashboards that show the inner workings of so-called blackbox machine learning models.,8.0,19,True,2021-01-14 10:25:38.000000,0.2.20.1,62.0,explainerdashboard,,,,,3.0,3.0,https://pypi.org/project/explainerdashboard,2021-01-14 10:26:10.000000,,1341.0,1341.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n669,pyfasttext,vrasneur/pyfasttext,,nlp,https://github.com/vrasneur/pyfasttext,https://github.com/vrasneur/pyfasttext,GPL-3.0,2017-06-30 18:44:42.000000,2018-12-08 15:32:09.000000,2018-12-08 15:02:12.000000,31,19.0,28.0,229,153.0,Yet another Python binding for fastText.,4.0,19,False,2018-12-08 15:02:54.000000,0.4.6,13.0,pyfasttext,,,,,137.0,132.0,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09.000000,5.0,1883.0,1890.0,,,,,,,,3.0,318.0,,,,,,,,,,,,,,,,,,,,\n670,recmetrics,statisticianinstilettos/recmetrics,,recommender-systems,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49.000000,2020-12-03 21:21:02.000000,2020-12-03 21:21:00.000000,53,7.0,7.0,226,233.0,A library of metrics for evaluating recommender systems.,12.0,19,True,2019-02-10 16:12:38.000000,0.0.9,11.0,recmetrics,,,,,16.0,16.0,https://pypi.org/project/recmetrics,2019-02-10 16:12:38.000000,,665.0,665.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n671,quinn,MrPowers/quinn,,ml-experiments,https://github.com/MrPowers/quinn,https://github.com/MrPowers/quinn,Apache-2.0,2017-09-15 13:02:42.000000,2020-07-29 16:22:29.000000,2020-07-29 15:47:58.000000,26,17.0,6.0,203,106.0,pyspark methods to enhance developer productivity.,6.0,19,True,2020-07-26 02:55:16.000000,0.8.0,11.0,quinn,,,,['spark'],3.0,,https://pypi.org/project/quinn,2020-07-26 02:55:16.000000,3.0,111353.0,111353.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n672,Crypto Signals,CryptoSignal/crypto-signal,,financial-data,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24.000000,2020-12-29 14:48:31.000000,2020-09-03 12:26:48.000000,640,43.0,187.0,2427,563.0,\"Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 2,100 + stars, 580 + forks.\",25.0,18,True,,,,,,shadowreaver/crypto-signal,,,,,,,,,1025.0,,,,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133,8.0,41015.0,3.0,,,,,,,,,,,,,,,,,,,,,\n673,Spotlight,maciejkula/spotlight,,recommender-systems,https://github.com/maciejkula/spotlight,https://github.com/maciejkula/spotlight,MIT,2017-06-25 18:52:19.000000,2020-11-15 08:21:28.000000,2020-02-09 21:03:48.000000,366,64.0,48.0,2391,299.0,Deep recommender models using PyTorch.,11.0,18,True,2019-09-08 10:19:53.000000,0.1.6,7.0,,maciejkula/spotlight,,,['pytorch'],,,,,,,137.0,https://anaconda.org/maciejkula/spotlight,2018-05-27 18:32:12.235000,5905.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n674,spark-deep-learning,databricks/spark-deep-learning,,data-pipelines,https://github.com/databricks/spark-deep-learning,https://github.com/databricks/spark-deep-learning,Apache-2.0,2017-05-31 17:30:28.000000,2021-01-16 01:44:12.000000,2021-01-16 01:44:11.000000,441,73.0,26.0,1793,134.0,Deep Learning Pipelines for Apache Spark.,15.0,18,True,2020-01-08 19:50:31.000000,1.6.0,9.0,,,,,['spark'],15.0,15.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n675,riko,nerevu/riko,,data-pipelines,https://github.com/nerevu/riko,https://github.com/nerevu/riko,MIT,2016-06-02 12:22:51.000000,2020-08-14 18:29:28.000000,2020-08-14 16:47:45.000000,70,22.0,8.0,1549,1257.0,A Python stream processing engine modeled after Yahoo! Pipes.,18.0,18,True,2020-08-14 18:29:28.000000,0.66.0,58.0,riko,,,,,1.0,,https://pypi.org/project/riko,2020-08-14 18:29:28.000000,1.0,129.0,129.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n676,NeuroNER,Franck-Dernoncourt/NeuroNER,,nlp,https://github.com/Franck-Dernoncourt/NeuroNER,https://github.com/Franck-Dernoncourt/NeuroNER,MIT,2017-03-07 01:24:15.000000,2020-11-13 18:07:48.000000,2019-10-02 23:26:11.000000,440,78.0,67.0,1525,132.0,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,7.0,18,False,2019-10-02 23:30:15.000000,1.0.8,7.0,pyneuroner,,,,,8.0,8.0,https://pypi.org/project/pyneuroner,2019-10-02 23:30:15.000000,,80.0,80.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n677,Higher,facebookresearch/higher,,pytorch-utils,https://github.com/facebookresearch/higher,https://github.com/facebookresearch/higher,Apache-2.0,2019-09-06 18:58:36.000000,2020-11-23 06:15:24.000000,2020-10-28 16:53:07.000000,73,24.0,47.0,1029,28.0,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,6.0,18,True,2020-07-14 12:20:32.000000,0.2.1,2.0,higher,,,,['pytorch'],27.0,27.0,https://pypi.org/project/higher,2020-07-14 12:20:32.000000,,661.0,661.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n678,Bounter,RaRe-Technologies/bounter,,data-containers,https://github.com/RaRe-Technologies/bounter,https://github.com/RaRe-Technologies/bounter,MIT,2017-07-18 07:24:15.000000,2020-08-17 06:37:51.000000,2020-08-16 11:55:16.000000,48,11.0,9.0,893,152.0,Efficient Counter that uses a limited (bounded) amount of memory regardless of data size.,8.0,18,True,2019-01-17 09:39:52.000000,1.1.1,7.0,bounter,,,,,34.0,20.0,https://pypi.org/project/bounter,2020-08-17 06:37:51.000000,14.0,268.0,268.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n679,Norfair,tryolabs/norfair,,image,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000000,2020-12-22 05:04:27.000000,2020-12-22 05:04:25.000000,43,5.0,12.0,767,242.0,Lightweight Python library for adding real-time 2D object tracking to any detector.,7.0,18,True,2020-12-07 18:34:32.000000,0.1.8,9.0,norfair,,,,,,,https://pypi.org/project/norfair,2020-12-07 18:34:32.000000,,240.0,240.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n680,calamari,Calamari-OCR/calamari,,ocr,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,Apache-2.0,2018-03-20 15:22:29.000000,2021-01-16 17:58:02.000000,2021-01-14 19:50:05.000000,161,20.0,132.0,762,262.0,Line based ATR Engine based on OCRopy.,17.0,18,True,2020-03-29 13:38:21.000000,1.0.5,22.0,calamari_ocr,,,,,2.0,,https://pypi.org/project/calamari_ocr,2018-11-13 11:24:45.000000,2.0,346.0,346.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n681,DALEX,ModelOriented/DALEX,,interpretability,https://github.com/ModelOriented/DALEX,https://github.com/ModelOriented/DALEX,GPL-3.0,2018-02-18 03:24:12.000000,2021-01-06 20:40:34.000000,2021-01-06 20:33:02.000000,108,9.0,245.0,752,531.0,moDel Agnostic Language for Exploration and eXplanation.,16.0,18,False,2021-01-04 17:21:32.000000,1.0.0,18.0,dalex,,,,,6.0,6.0,https://pypi.org/project/dalex,2020-12-28 23:47:30.000000,,479.0,479.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n682,pytorch2keras,nerox8664/pytorch2keras,,model-serialisation,https://github.com/nerox8664/pytorch2keras,https://github.com/nerox8664/pytorch2keras,MIT,2017-11-16 20:21:43.000000,2020-05-14 10:03:56.000000,2020-05-14 10:03:04.000000,111,39.0,65.0,655,277.0,PyTorch to Keras model convertor.,11.0,18,True,2020-05-14 10:03:56.000000,0.2.4,23.0,pytorch2keras,,,,,18.0,17.0,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56.000000,1.0,368.0,368.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n683,Torchbearer,pytorchbearer/torchbearer,,ml-frameworks,https://github.com/pytorchbearer/torchbearer,https://github.com/pytorchbearer/torchbearer,MIT,2018-03-12 16:30:42.000000,2020-02-17 21:18:06.000000,2020-02-17 21:18:01.000000,62,8.0,237.0,580,427.0,torchbearer: A model fitting library for PyTorch.,13.0,18,True,2020-01-31 14:07:22.000000,0.5.3,24.0,torchbearer,,,,['pytorch'],40.0,37.0,https://pypi.org/project/torchbearer,2020-01-31 14:05:56.000000,3.0,189.0,189.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n684,vecstack,vecxoz/vecstack,,others,https://github.com/vecxoz/vecstack,https://github.com/vecxoz/vecstack,MIT,2016-11-08 13:23:21.000000,2020-09-14 08:31:07.000000,2019-10-30 09:27:48.000000,66,,34.0,572,189.0,Python package for stacking (machine learning technique).,1.0,18,False,2019-08-12 16:09:01.000000,0.4.0,6.0,vecstack,,,,,103.0,99.0,https://pypi.org/project/vecstack,2019-08-12 16:01:22.000000,4.0,757.0,757.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n685,pyhsmm,mattjj/pyhsmm,,probabilistics,https://github.com/mattjj/pyhsmm,https://github.com/mattjj/pyhsmm,MIT,2012-03-18 17:40:13.000000,2020-09-29 20:58:26.000000,2020-08-24 17:03:59.000000,148,34.0,60.0,476,1426.0,Bayesian inference in HSMMs and HMMs.,13.0,18,True,2017-05-10 17:14:37.000000,0.1.7,8.0,pyhsmm,,,,,21.0,17.0,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37.000000,4.0,53.0,53.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n686,robustness,MadryLab/robustness,,adversarial,https://github.com/MadryLab/robustness,https://github.com/MadryLab/robustness,MIT,2019-08-21 09:26:33.000000,2020-12-01 06:11:12.000000,2020-12-01 05:49:45.000000,80,5.0,49.0,452,137.0,\"A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.\",11.0,18,True,2020-12-01 06:11:12.000000,1.2.1.post2,8.0,robustness,,,,,32.0,31.0,https://pypi.org/project/robustness,2020-08-05 04:42:24.000000,1.0,250.0,250.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n687,What-If Tool,PAIR-code/what-if-tool,,interpretability,https://github.com/PAIR-code/what-if-tool,https://github.com/PAIR-code/what-if-tool,Apache-2.0,2018-09-07 20:26:10.000000,2021-01-14 22:01:35.000000,2021-01-14 18:29:32.000000,89,35.0,34.0,418,306.0,Source code/webpage/demos for the What-If Tool.,18.0,18,True,2020-06-28 14:23:49.040000,1.7.0,37.0,witwidget,,,,,0.0,,https://pypi.org/project/witwidget,2020-06-28 14:22:37.000000,0.0,2288.0,3904.0,,,,,,,,3.0,,,,wit-widget,https://www.npmjs.com/package/wit-widget,2021-01-13 16:16:17.851000,,1616.0,,,,,,,,,,,,,\n688,PyWaffle,gyli/PyWaffle,,data-viz,https://github.com/gyli/PyWaffle,https://github.com/gyli/PyWaffle,MIT,2017-11-14 20:03:47.000000,2020-07-26 23:22:17.000000,2020-07-26 23:22:13.000000,61,2.0,10.0,380,249.0,Make Waffle Charts in Python.,6.0,18,True,2020-07-26 19:16:45.000000,0.6.1,22.0,pywaffle,,,,,39.0,39.0,https://pypi.org/project/pywaffle,2020-07-26 19:16:45.000000,,743.0,743.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n689,lazypredict,shankarpandala/lazypredict,,hyperopt,https://github.com/shankarpandala/lazypredict,https://github.com/shankarpandala/lazypredict,MIT,2019-11-16 09:56:35.000000,2021-01-16 12:31:14.000000,2021-01-13 11:20:45.000000,74,42.0,22.0,331,81.0,Lazy Predict help build a lot of basic models without much code and helps understand which models works better without..,8.0,18,True,2020-07-09 04:53:31.000000,0.2.7,9.0,lazypredict,,,,['sklearn'],15.0,15.0,https://pypi.org/project/lazypredict,2020-07-09 04:53:31.000000,,1030.0,1030.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n690,apricot,jmschrei/apricot,,others,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12.000000,2020-09-30 20:53:48.000000,2020-09-30 20:53:44.000000,29,3.0,11.0,300,151.0,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,2.0,18,True,2020-09-28 07:19:15.000000,0.6.0,13.0,apricot-select,,,,,12.0,12.0,https://pypi.org/project/apricot-select,2020-09-28 07:19:15.000000,,410.0,410.0,,,,,,,,3.0,8.0,,,,,,,,,,,,,,,,,,,,\n691,sk-dist,Ibotta/sk-dist,,distributed-ml,https://github.com/Ibotta/sk-dist,https://github.com/Ibotta/sk-dist,Apache-2.0,2019-08-14 21:07:17.000000,2021-01-07 17:01:27.000000,2021-01-07 17:01:23.000000,42,7.0,9.0,250,46.0,Distributed scikit-learn meta-estimators in PySpark.,6.0,18,True,2020-05-14 22:20:14.000000,0.1.9,12.0,sk-dist,,,,\"['sklearn', 'spark']\",8.0,6.0,https://pypi.org/project/sk-dist,2020-05-14 22:20:14.000000,2.0,3359.0,3359.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n692,Brainiak,brainiak/brainiak,,medical-data,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27.000000,2020-10-15 21:11:03.379549,2020-10-15 16:28:46.000000,106,63.0,117.0,229,388.0,Brain Imaging Analysis Kit.,32.0,18,True,2019-08-27 23:52:29.000000,0.9.1,15.0,brainiak,,brainiak/brainiak,,,13.0,12.0,https://pypi.org/project/brainiak,2020-10-15 20:45:08.000000,1.0,98.0,105.0,,,,https://hub.docker.com/r/brainiak/brainiak,2020-10-15 21:11:03.379549,1.0,464.0,3.0,,,,,,,,,,,,,,,,,,,,,\n693,DeepGraph,deepgraph/deepgraph,,graph,https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45.000000,2021-01-15 08:36:25.609000,2020-10-01 13:17:00.000000,33,7.0,5.0,227,160.0,Analyze Data with Pandas-based Networks. Documentation:.,2.0,18,True,2020-10-01 13:20:38.000000,0.2.3,13.0,deepgraph,conda-forge/deepgraph,,,['pandas'],1.0,1.0,https://pypi.org/project/deepgraph,2020-10-01 13:18:38.000000,,239.0,2098.0,https://anaconda.org/conda-forge/deepgraph,2021-01-15 08:36:25.609000,76231.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n694,ivis,beringresearch/ivis,,data-viz,https://github.com/beringresearch/ivis,https://github.com/beringresearch/ivis,GPL-2.0,2018-08-13 08:31:01.000000,2021-01-12 17:00:57.000000,2021-01-12 17:00:41.000000,19,4.0,39.0,220,509.0,Dimensionality reduction in very large datasets using Siamese Networks.,7.0,18,False,2021-01-06 17:09:59.000000,2.0.1,27.0,ivis,,,,['tensorflow'],13.0,13.0,https://pypi.org/project/ivis,2021-01-06 17:07:15.000000,0.0,636.0,636.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n695,skift,shaypal5/skift,,nlp,https://github.com/shaypal5/skift,https://github.com/shaypal5/skift,MIT,2018-02-03 11:37:21.000000,2020-09-07 07:33:31.000000,2020-09-07 07:33:23.000000,22,2.0,8.0,209,127.0,scikit-learn wrappers for Python fastText.,6.0,18,True,2020-08-04 07:56:43.000000,0.0.19,15.0,skift,,,,['sklearn'],8.0,8.0,https://pypi.org/project/skift,2020-08-27 15:01:05.000000,,1223.0,1223.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n696,FiftyOne,voxel51/fiftyone,,data-viz,https://github.com/voxel51/fiftyone,https://github.com/voxel51/fiftyone,Apache-2.0,2020-04-22 13:43:28.000000,2021-01-16 21:26:58.000000,2021-01-16 02:38:03.000000,15,113.0,181.0,178,5467.0,\"Visualize, create, and debug image and video datasets and model predictions.\",10.0,18,True,2021-01-08 19:08:48.000000,0.7.1,38.0,fiftyone,,,,\"['tensorflow', 'pytorch', 'jupyter']\",,,https://pypi.org/project/fiftyone,2021-01-16 00:00:47.000000,,569.0,569.0,,,,,,,,3.0,,,,,,,,,,,,,,True,,,,,,,\n697,fairness-indicators,tensorflow/fairness-indicators,,interpretability,https://github.com/tensorflow/fairness-indicators,https://github.com/tensorflow/fairness-indicators,Apache-2.0,2019-09-30 22:56:45.000000,2021-01-15 22:10:15.000000,2021-01-15 22:10:04.000000,49,16.0,5.0,174,235.0,Tensorflow's Fairness Evaluation and Visualization Toolkit.,19.0,18,True,2020-12-17 03:33:37.000000,0.26.0,12.0,fairness-indicators,,,,\"['tensorflow', 'jupyter']\",,,https://pypi.org/project/fairness-indicators,2020-12-17 03:33:37.000000,,476.0,476.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n698,Funsor,pyro-ppl/funsor,,probabilistics,https://github.com/pyro-ppl/funsor,https://github.com/pyro-ppl/funsor,Apache-2.0,2019-01-30 23:13:39.000000,2021-01-16 01:27:30.000000,2021-01-14 00:59:49.000000,15,55.0,56.0,158,466.0,Functional tensors for probabilistic programming.,9.0,18,True,2020-10-15 15:54:49.000000,0.3.0,5.0,funsor,,,,['pytorch'],7.0,7.0,https://pypi.org/project/funsor,2020-10-15 15:54:49.000000,,198.0,198.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n699,flupy,olirice/flupy,,data-pipelines,https://github.com/olirice/flupy,https://github.com/olirice/flupy,MIT,2018-01-06 16:46:04.000000,2021-01-06 12:37:41.000000,2021-01-06 12:37:33.000000,9,,7.0,152,176.0,Fluent data pipelines for python and your shell.,4.0,18,True,2021-01-06 12:37:15.000000,1.1.6,34.0,flupy,,,,,0.0,,https://pypi.org/project/flupy,2021-01-06 12:37:15.000000,0.0,1823.0,1823.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n700,Glow,projectglow/glow,,medical-data,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47.000000,2021-01-16 00:45:24.000000,2021-01-13 17:39:56.000000,40,22.0,41.0,150,298.0,An open-source toolkit for large-scale genomic analysis.,11.0,18,True,2020-09-10 18:38:52.000000,0.6.0,9.0,glow.py,,,,,,,https://pypi.org/project/glow.py,2020-09-10 01:15:03.000000,,996.0,996.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n701,ploomber,ploomber/ploomber,,data-pipelines,https://github.com/ploomber/ploomber,https://github.com/ploomber/ploomber,Apache-2.0,2020-01-20 20:13:06.000000,2021-01-16 20:47:42.000000,2021-01-09 00:44:18.000000,1,50.0,231.0,112,1427.0,\"A convention over configuration workflow orchestrator. Develop locally (Jupyter or your favorite editor), deploy to..\",4.0,18,False,2021-01-09 00:47:02.000000,0.8.6,32.0,ploomber,,,,,13.0,13.0,https://pypi.org/project/ploomber,2021-01-09 00:47:02.000000,,473.0,473.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n702,DeepMind Lab,deepmind/lab,,reinforcement-learning,https://github.com/deepmind/lab,https://github.com/deepmind/lab,GPL-2.0,2016-11-30 13:41:26.000000,2021-01-15 11:53:52.000000,2021-01-11 18:00:59.000000,1286,37.0,151.0,6382,475.0,A customisable 3D platform for agent-based AI research.,7.0,17,False,2020-12-07 11:26:33.000000,release-2020-12-07,8.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n703,TTS,mozilla/TTS,,audio,https://github.com/mozilla/TTS,https://github.com/mozilla/TTS,MPL-2.0,2018-01-23 14:22:06.000000,2021-01-16 18:53:34.000000,2021-01-13 10:14:59.000000,626,25.0,413.0,3062,2120.0,Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts).,48.0,17,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n704,PaddleDetection,PaddlePaddle/PaddleDetection,,image,https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000000,2021-01-17 13:38:23.000000,2021-01-17 13:38:14.000000,606,287.0,845.0,2201,671.0,Object detection and instance segmentation toolkit based on PaddlePaddle.,43.0,17,True,2019-11-27 05:15:38.000000,0.1.0,1.0,,,,,['paddle'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n705,Mara Pipelines,mara/mara-pipelines,,data-pipelines,https://github.com/mara/mara-pipelines,https://github.com/mara/mara-pipelines,MIT,2018-03-31 20:37:22.000000,2020-12-31 02:02:28.000000,2020-07-31 19:24:31.000000,76,6.0,11.0,1604,127.0,\"A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow.\",15.0,17,True,2020-07-31 19:31:29.000000,3.1.1,7.0,mara-pipelines,,,,,7.0,7.0,https://pypi.org/project/mara-pipelines,2020-07-31 19:26:16.000000,,22.0,22.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n706,BlazingSQL,BlazingDB/blazingsql,,gpu-utilities,https://github.com/BlazingDB/blazingsql,https://github.com/BlazingDB/blazingsql,Apache-2.0,2018-09-24 18:25:45.000000,2021-01-15 23:59:23.000000,2021-01-13 17:23:46.000000,132,243.0,320.0,1381,,\"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.\",39.0,17,True,2020-12-14 17:43:48.000000,0.17.0,15.0,,blazingsql/blazingsql-protocol,,,,,,,,,,57.0,https://anaconda.org/blazingsql/blazingsql-protocol,2019-11-11 19:54:17.621000,914.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n707,Advisor,tobegit3hub/advisor,,hyperopt,https://github.com/tobegit3hub/advisor,https://github.com/tobegit3hub/advisor,Apache-2.0,2017-09-14 03:50:33.000000,2019-11-11 07:09:57.869705,2019-11-11 06:59:31.000000,240,19.0,13.0,1333,165.0,Open-source implementation of Google Vizier for hyper parameters tuning.,11.0,17,False,2018-10-18 02:54:09.000000,0.1.6,4.0,advisor,,tobegit3hub/advisor,,,,,https://pypi.org/project/advisor,2018-10-18 02:54:09.000000,,33.0,71.0,,,,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1546.0,3.0,,,,,,,,,,,,,,,,,,,,,\n708,Antialiased CNNs,adobe/antialiased-cnns,,pytorch-utils,https://github.com/adobe/antialiased-cnns,https://github.com/adobe/antialiased-cnns,CC BY-NC-SA 4.0,2019-05-14 20:51:25.000000,2020-10-23 22:45:52.000000,2020-10-22 19:40:07.000000,170,9.0,28.0,1332,238.0,pip install antialiased-cnns to improve stability and accuracy.,6.0,17,False,2020-10-23 22:45:52.000000,0.3,6.0,antialiased-cnns,,,,['pytorch'],,,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49.000000,,293.0,293.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n709,River,online-ml/river,,others,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000000,2021-01-15 01:22:27.000000,2021-01-06 13:53:36.000000,156,38.0,239.0,1281,2943.0,Online machine learning in Python.,57.0,17,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n710,Lambda Networks,lucidrains/lambda-networks,,pytorch-utils,https://github.com/lucidrains/lambda-networks,https://github.com/lucidrains/lambda-networks,MIT,2020-10-08 19:01:15.000000,2020-11-18 19:54:34.000000,2020-11-18 19:54:30.000000,132,8.0,15.0,1269,,\"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.\",3.0,17,True,2020-11-18 08:18:54.000000,0.4.0,11.0,lambda-networks,,,,['pytorch'],,,https://pypi.org/project/lambda-networks,2020-10-20 21:49:22.000000,,1176.0,1176.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n711,Backtesting.py,kernc/backtesting.py,,financial-data,https://github.com/kernc/backtesting.py,https://github.com/kernc/backtesting.py,AGPL-3.0,2019-01-02 03:11:32.000000,2020-12-24 19:57:36.000000,2020-12-24 19:57:35.000000,223,20.0,164.0,924,214.0,Backtest trading strategies in Python.,8.0,17,False,2017-07-22 02:00:06.000000,0.0.1,1.0,backtesting,,,,,,,https://pypi.org/project/backtesting,2017-07-22 02:00:06.000000,,2957.0,2957.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n712,Fiber,uber/fiber,,distributed-ml,https://github.com/uber/fiber,https://github.com/uber/fiber,Apache-2.0,2020-01-07 18:16:24.000000,2020-10-06 14:39:41.000000,2020-10-06 14:39:12.000000,89,13.0,5.0,836,60.0,Distributed Computing for AI Made Simple.,5.0,17,True,2020-07-09 03:28:28.000000,0.2.1,6.0,fiber,,,,,18.0,17.0,https://pypi.org/project/fiber,2020-07-09 03:28:28.000000,1.0,965.0,965.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n713,advertorch,BorealisAI/advertorch,,adversarial,https://github.com/BorealisAI/advertorch,https://github.com/BorealisAI/advertorch,GPL-3.0,2018-11-29 22:17:33.000000,2020-09-25 15:01:47.000000,2020-06-15 01:16:18.000000,119,13.0,28.0,790,270.0,A Toolbox for Adversarial Robustness Research.,16.0,17,False,2020-06-15 01:20:07.000000,0.2.3,10.0,advertorch,,,,['pytorch'],32.0,29.0,https://pypi.org/project/advertorch,2020-06-15 01:20:07.000000,3.0,479.0,479.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n714,sklearn-deap,rsteca/sklearn-deap,,hyperopt,https://github.com/rsteca/sklearn-deap,https://github.com/rsteca/sklearn-deap,MIT,2015-10-28 22:52:34.000000,2019-12-03 13:29:06.000000,2019-12-03 13:29:04.000000,106,21.0,30.0,622,98.0,Use evolutionary algorithms instead of gridsearch in scikit-learn.,20.0,17,False,2019-07-15 09:24:09.000000,0.2.4,13.0,sklearn-deap,,,,['sklearn'],25.0,23.0,https://pypi.org/project/sklearn-deap,2019-07-15 09:24:09.000000,2.0,324.0,324.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n715,ADTK,arundo/adtk,,time-series-data,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22.000000,2020-04-29 19:54:40.000000,2020-04-17 02:27:44.000000,73,20.0,30.0,583,78.0,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,11.0,17,True,2020-04-17 02:18:00.000000,0.6.2,13.0,adtk,,,,,,,https://pypi.org/project/adtk,2020-04-17 02:18:00.000000,,28936.0,28936.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n716,Dragonfly,dragonfly/dragonfly,,hyperopt,https://github.com/dragonfly/dragonfly,https://github.com/dragonfly/dragonfly,MIT,2018-04-20 22:19:50.000000,2020-07-26 17:44:31.000000,2020-07-03 18:01:17.000000,71,21.0,17.0,555,397.0,An open source python library for scalable Bayesian optimisation.,12.0,17,True,2020-07-03 18:05:12.000000,0.1.6,9.0,dragonfly-opt,,,,,2.0,,https://pypi.org/project/dragonfly-opt,2020-07-03 18:05:12.000000,2.0,2919.0,2919.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n717,SKLL,EducationalTestingService/skll,,ml-experiments,https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,BSD-1-Clause,2013-08-02 14:31:46.000000,2021-01-11 14:48:37.000000,2021-01-05 19:18:47.000000,61,41.0,327.0,518,,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,34.0,17,False,2020-03-13 17:22:26.000000,2.1,63.0,skll,,,,['sklearn'],45.0,28.0,https://pypi.org/project/skll,2020-03-13 16:23:35.000000,17.0,188.0,188.0,,,,,,,,3.0,10.0,,,,,,,,,,,,,,,,,,,,\n718,DiCE,interpretml/DiCE,,interpretability,https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000000,2020-12-15 13:12:57.000000,2020-12-15 13:12:50.000000,63,12.0,18.0,431,288.0,Generate Diverse Counterfactual Explanations for any machine learning model.,8.0,17,True,2020-09-22 06:31:10.000000,0.4,2.0,dice-ml,,,,\"['tensorflow', 'pytorch']\",,,https://pypi.org/project/dice-ml,2020-09-22 06:57:33.000000,,158.0,158.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n719,lightly,lightly-ai/lightly,,image,https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000000,2021-01-13 10:04:25.000000,2021-01-13 08:25:33.000000,21,20.0,18.0,390,310.0,A python library for self-supervised learning.,4.0,17,True,2021-01-11 11:30:44.000000,1.0.8,11.0,lightly,,,,['pytorch'],,,https://pypi.org/project/lightly,2021-01-11 11:34:22.000000,,179.0,179.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n720,kglib,graknlabs/kglib,,graph,https://github.com/graknlabs/kglib,https://github.com/graknlabs/kglib,Apache-2.0,2018-09-16 16:46:48.000000,2021-01-15 11:17:51.000000,2021-01-15 11:17:51.000000,70,10.0,49.0,384,487.0,Grakn Knowledge Graph Library (ML R&D).,7.0,17,True,2020-08-19 15:32:49.000000,0.2.2,7.0,grakn-kglib,,,,,,,https://pypi.org/project/grakn-kglib,2020-08-19 15:39:10.000000,,55.0,63.0,,,,,,,,3.0,206.0,,,,,,,,,,,,,,,,,,,,\n721,Sematch,gsi-upm/sematch,,graph,https://github.com/gsi-upm/sematch,https://github.com/gsi-upm/sematch,Apache-2.0,2012-11-30 11:11:53.000000,2020-11-05 21:20:52.000000,2019-03-27 03:17:24.000000,99,14.0,19.0,337,122.0,semantic similarity framework for knowledge graph.,5.0,17,False,2017-04-17 10:56:52.000000,1.0.4,5.0,sematch,,,,,29.0,26.0,https://pypi.org/project/sematch,2017-04-17 10:56:52.000000,3.0,36.0,36.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n722,atspy,firmai/atspy,,time-series-data,https://github.com/firmai/atspy,https://github.com/firmai/atspy,MIT,2020-01-28 05:00:10.000000,2020-12-01 13:53:03.000000,2020-11-12 16:15:26.000000,63,16.0,2.0,327,97.0,AtsPy: Automated Time Series Models in Python (by @firmai).,5.0,17,True,2020-11-12 16:10:48.000000,zen,39.0,atspy,,,,,3.0,3.0,https://pypi.org/project/atspy,2020-04-24 18:16:15.000000,,220.0,220.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n723,Camphr,PKSHATechnology-Research/camphr,,nlp,https://github.com/PKSHATechnology-Research/camphr,https://github.com/PKSHATechnology-Research/camphr,Apache-2.0,2020-02-10 03:39:58.000000,2021-01-15 08:21:44.000000,2021-01-15 00:55:23.000000,15,13.0,14.0,321,1094.0,\"spaCy plugin for Transformers , Udify, ELmo, etc.\",7.0,17,True,2020-12-25 08:53:36.000000,0.7.2,37.0,camphr,,,,['spacy'],,,https://pypi.org/project/camphr,2020-12-25 08:53:36.000000,,371.0,371.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n724,tick,X-DataInitiative/tick,,time-series-data,https://github.com/X-DataInitiative/tick,https://github.com/X-DataInitiative/tick,BSD-3-Clause,2016-12-01 10:59:08.000000,2020-08-11 12:36:43.000000,2020-06-15 12:01:36.000000,74,55.0,159.0,321,413.0,\"Module for statistical learning, with a particular emphasis on time-dependent modelling.\",16.0,17,True,2019-09-11 11:25:15.000000,0.6,23.0,tick,,,,,30.0,29.0,https://pypi.org/project/tick,2020-05-24 22:01:17.000000,1.0,425.0,428.0,,,,,,,,3.0,155.0,,,,,,,,,,,,,,,,,,,,\n725,Baal,ElementAI/baal,,probabilistics,https://github.com/ElementAI/baal,https://github.com/ElementAI/baal,Apache-2.0,2019-09-30 20:16:26.000000,2021-01-15 20:31:33.000000,2020-12-11 19:04:35.000000,24,12.0,22.0,307,92.0,Using approximate bayesian posteriors in deep nets for active learning.,8.0,17,True,2020-11-03 21:14:13.000000,1.2.1,7.0,baal,,,,,6.0,6.0,https://pypi.org/project/baal,2020-11-03 21:07:08.000000,,108.0,108.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n726,Orbit,uber/orbit,,probabilistics,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000000,2021-01-16 21:08:37.000000,2021-01-08 23:40:17.000000,13,22.0,141.0,299,573.0,Bayesian forecasting with object-oriented design and probabilistic models under the hood.,7.0,17,True,2020-11-15 23:46:41.000000,1.0.9,9.0,orbit-ml,,,,,3.0,3.0,https://pypi.org/project/orbit-ml,2020-11-15 23:46:41.000000,,62.0,62.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n727,DESlib,scikit-learn-contrib/DESlib,,sklearn-utils,https://github.com/scikit-learn-contrib/DESlib,https://github.com/scikit-learn-contrib/DESlib,BSD-3-Clause,2017-12-08 22:49:49.000000,2021-01-01 23:30:58.000000,2021-01-01 23:30:55.000000,66,13.0,120.0,294,260.0,A Python library for dynamic classifier and ensemble selection.,12.0,17,True,,,3.0,deslib,,,,['sklearn'],13.0,13.0,https://pypi.org/project/deslib,2019-02-18 16:47:48.000000,,131.0,131.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n728,Sherpa,sherpa-ai/sherpa,,hyperopt,https://github.com/sherpa-ai/sherpa,https://github.com/sherpa-ai/sherpa,GPL-3.0,2018-05-16 21:41:54.000000,2020-10-18 07:57:50.000000,2020-10-18 07:57:48.000000,43,11.0,41.0,279,823.0,\"Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.\",43.0,17,False,2020-07-31 05:29:09.000000,1.0.7,8.0,parameter-sherpa,,,,,8.0,7.0,https://pypi.org/project/parameter-sherpa,2019-11-23 21:32:27.000000,1.0,307.0,307.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n729,pandas-ml,pandas-ml/pandas-ml,,others,https://github.com/pandas-ml/pandas-ml,https://github.com/pandas-ml/pandas-ml,BSD-3-Clause,2015-02-21 03:14:04.000000,2020-08-14 12:29:33.000000,2019-03-05 01:36:55.000000,57,24.0,17.0,264,153.0,\"pandas, scikit-learn, xgboost and seaborn integration.\",4.0,17,False,2019-03-05 01:36:12.000000,0.6.1,9.0,pandas-ml,,,,\"['sklearn', 'pandas']\",,,https://pypi.org/project/pandas-ml,2019-03-05 01:35:23.000000,,2517.0,2517.0,,,,,,,,3.0,5.0,,,,,,,,,,,,,,,,,,,,\n730,somoclu,peterwittek/somoclu,,distributed-ml,https://github.com/peterwittek/somoclu,https://github.com/peterwittek/somoclu,MIT,2013-01-16 06:33:16.000000,2020-10-13 18:39:07.609000,2020-07-24 13:00:47.000000,55,25.0,103.0,220,590.0,\"Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters.\",17.0,17,True,2018-03-03 02:44:37.000000,1.7.5,17.0,somoclu,conda-forge/somoclu,,,,2.0,,https://pypi.org/project/somoclu,2020-04-25 05:33:32.000000,2.0,1193.0,2171.0,https://anaconda.org/conda-forge/somoclu,2020-10-13 18:39:07.609000,39349.0,,,,,3.0,1435.0,,,,,,,,,,,,,,,,,,,,\n731,skggm,skggm/skggm,,sklearn-utils,https://github.com/skggm/skggm,https://github.com/skggm/skggm,MIT,2016-06-11 18:35:56.000000,2020-12-24 08:36:00.000000,2020-12-24 05:43:15.000000,31,27.0,47.0,174,691.0,Scikit-learn compatible estimation of general graphical models.,5.0,17,True,2018-09-12 01:12:49.000000,0.2.8,6.0,skggm,,,,['sklearn'],7.0,6.0,https://pypi.org/project/skggm,2018-09-12 01:12:49.000000,1.0,92.0,92.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n732,ExplainX.ai,explainX/explainx,,interpretability,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15.000000,2021-01-07 22:35:16.000000,2021-01-07 22:35:16.000000,28,7.0,13.0,158,182.0,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,4.0,17,True,2020-10-23 17:30:47.000000,2.403,53.0,explainx,,,,,,,https://pypi.org/project/explainx,2020-12-07 22:26:30.000000,,463.0,463.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n733,BatchFlow,analysiscenter/batchflow,,data-pipelines,https://github.com/analysiscenter/batchflow,https://github.com/analysiscenter/batchflow,Apache-2.0,2017-03-13 14:22:53.000000,2021-01-14 08:11:58.000000,2020-12-08 08:39:00.000000,33,52.0,53.0,153,4298.0,BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and..,28.0,17,True,2019-08-23 12:21:50.000000,0.3.0,3.0,batchflow,,,,,,,https://pypi.org/project/batchflow,2019-08-23 12:21:50.000000,,12.0,12.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n734,Auto TS,AutoViML/Auto_TS,,time-series-data,https://github.com/AutoViML/Auto_TS,https://github.com/AutoViML/Auto_TS,Apache-2.0,2020-02-15 15:23:32.000000,2021-01-13 16:26:45.000000,2021-01-13 16:20:48.000000,34,6.0,21.0,148,215.0,\"Automatically build ARIMA, SARIMAX, VAR, FB Prophet and ML Models on Time Series data sets with a Single Line of Code.\",5.0,17,False,2021-01-13 16:26:45.000000,0.0.33,12.0,auto-ts,,,,,,,https://pypi.org/project/auto-ts,2021-01-13 16:26:45.000000,,457.0,457.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n735,celer,mathurinm/celer,,sklearn-utils,https://github.com/mathurinm/celer,https://github.com/mathurinm/celer,BSD-3-Clause,2018-02-20 19:37:31.000000,2021-01-13 10:01:10.000000,2021-01-13 09:55:11.000000,19,14.0,48.0,102,206.0,\"Fast sklearn solvers for sparse problems (group Lasso, adaptive Lasso).\",9.0,17,False,2020-10-12 12:26:09.000000,0.5.1,9.0,celer,,,,['sklearn'],4.0,4.0,https://pypi.org/project/celer,2020-10-12 11:56:43.000000,,164.0,164.0,,,,,,,,3.0,,,,,,,,,,,,,,True,,,,,,,\n736,nvidia-ml-py3,nicolargo/nvidia-ml-py3,,gpu-utilities,https://github.com/nicolargo/nvidia-ml-py3,https://github.com/nicolargo/nvidia-ml-py3,BSD-3-Clause,2017-06-03 07:47:03.000000,2019-03-06 20:41:10.000000,2019-03-06 20:41:09.000000,13,2.0,,60,5.0,Python 3 Bindings for the NVIDIA Management Library.,2.0,17,False,,,1.0,nvidia-ml-py3,,,,,2492.0,2480.0,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46.000000,12.0,315610.0,315610.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n737,ReAgent,facebookresearch/ReAgent,,reinforcement-learning,https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000000,2021-01-17 04:19:54.000000,2021-01-17 04:18:52.000000,372,20.0,74.0,2751,1063.0,\"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).\",86.0,16,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n738,LIT,PAIR-code/lit,,interpretability,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000000,2021-01-13 22:07:24.000000,2020-11-17 00:43:10.000000,227,27.0,27.0,2332,,The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and..,10.0,16,True,2020-11-17 00:53:31.000000,0.2,4.0,lit-nlp,,,,,,,https://pypi.org/project/lit-nlp,2020-11-17 00:52:37.000000,,143.0,143.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n739,automl-gs,minimaxir/automl-gs,,hyperopt,https://github.com/minimaxir/automl-gs,https://github.com/minimaxir/automl-gs,MIT,2019-01-13 18:57:44.000000,2019-10-22 11:20:40.000000,2019-04-05 06:48:14.000000,157,26.0,6.0,1710,102.0,\"Provide an input CSV and a target field to predict, generate a model + code to run it.\",7.0,16,False,2019-04-05 06:51:04.000000,0.2.1,2.0,automl_gs,,,,,,,https://pypi.org/project/automl_gs,2019-04-05 06:47:54.000000,,25.0,25.0,,,,,,,,3.0,20.0,,,,,,,,,,,,,,,,,,,,\n740,Xcessiv,reiinakano/xcessiv,,hyperopt,https://github.com/reiinakano/xcessiv,https://github.com/reiinakano/xcessiv,Apache-2.0,2017-03-07 18:18:25.000000,2018-06-06 22:23:37.000000,2017-08-21 00:51:15.000000,109,22.0,13.0,1259,316.0,\"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.\",6.0,16,False,2017-08-21 00:53:25.000000,0.5.1,34.0,xcessiv,,,,,2.0,1.0,https://pypi.org/project/xcessiv,2017-08-21 00:49:41.000000,1.0,33.0,33.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n741,AdvBox,advboxes/AdvBox,,adversarial,https://github.com/advboxes/AdvBox,https://github.com/advboxes/AdvBox,Apache-2.0,2018-08-08 08:55:41.000000,2020-11-13 17:59:22.000000,2020-08-26 22:59:41.000000,221,6.0,26.0,1025,374.0,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,19.0,16,True,2018-12-05 02:48:50.000000,0.4.1,2.0,advbox,,,,,,,https://pypi.org/project/advbox,2018-12-05 02:48:50.000000,,19.0,19.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n742,sklearn-porter,nok/sklearn-porter,,model-serialisation,https://github.com/nok/sklearn-porter,https://github.com/nok/sklearn-porter,MIT,2016-06-22 22:21:34.000000,2020-10-19 07:28:00.000000,2019-12-18 13:31:50.000000,122,39.0,29.0,947,699.0,\"Transpile trained scikit-learn estimators to C, Java, JavaScript and others.\",11.0,16,False,2019-12-18 13:39:19.000000,0.7.4,20.0,sklearn-porter,,,,['sklearn'],1.0,,https://pypi.org/project/sklearn-porter,2019-12-18 13:39:19.000000,1.0,361.0,361.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n743,CrypTen,facebookresearch/CrypTen,,privacy-ml,https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000000,2021-01-07 17:43:06.000000,2020-12-23 00:12:14.000000,89,15.0,31.0,693,227.0,A framework for Privacy Preserving Machine Learning.,23.0,16,True,2020-04-21 13:59:37.000000,0.1,1.0,crypten,,,,['pytorch'],5.0,5.0,https://pypi.org/project/crypten,2020-02-05 18:53:03.000000,,70.0,70.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n744,Hivemind,learning-at-home/hivemind,,distributed-ml,https://github.com/learning-at-home/hivemind,https://github.com/learning-at-home/hivemind,MIT,2020-02-27 13:50:19.000000,2021-01-16 21:24:59.000000,2021-01-16 19:31:43.000000,29,15.0,17.0,636,293.0,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,8.0,16,True,2020-08-28 05:52:35.000000,0.8.2,5.0,hivemind,,,,,2.0,1.0,https://pypi.org/project/hivemind,2020-08-28 16:00:22.000000,1.0,12.0,12.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n745,HyperparameterHunter,HunterMcGushion/hyperparameter_hunter,,hyperopt,https://github.com/HunterMcGushion/hyperparameter_hunter,https://github.com/HunterMcGushion/hyperparameter_hunter,MIT,2018-06-01 23:17:00.000000,2021-01-08 13:51:16.000000,2020-10-21 17:39:43.000000,79,36.0,84.0,634,1095.0,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries.,3.0,16,True,2019-08-06 09:09:45.000000,3.0.0,16.0,hyperparameter-hunter,,,,,1.0,,https://pypi.org/project/hyperparameter-hunter,2019-08-06 06:01:58.000000,1.0,59.0,68.0,,,,,,,,3.0,267.0,,,,,,,,,,,,,,,,,,,,\n746,cuGraph,rapidsai/cugraph,,gpu-utilities,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000000,2021-01-16 02:18:10.000000,2021-01-15 03:22:26.000000,130,87.0,460.0,620,,cuGraph - RAPIDS Graph Analytics Library.,54.0,16,True,2020-12-10 21:54:44.000000,0.17.0,4.0,cugraph,,,,,,,https://pypi.org/project/cugraph,2019-04-04 15:31:02.000000,,30.0,30.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n747,Saliency,PAIR-code/saliency,,tensorflow-utils,https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35.000000,2020-10-15 21:38:20.000000,2020-10-01 22:54:59.000000,133,11.0,10.0,618,64.0,\"TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques.\",12.0,16,True,2019-09-26 17:59:23.000000,0.0.5,5.0,saliency,,,,['tensorflow'],13.0,13.0,https://pypi.org/project/saliency,2019-09-26 17:59:23.000000,,135.0,135.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n748,SpeedTorch,Santosh-Gupta/SpeedTorch,,gpu-utilities,https://github.com/Santosh-Gupta/SpeedTorch,https://github.com/Santosh-Gupta/SpeedTorch,MIT,2019-09-07 18:57:52.000000,2020-02-21 23:13:29.000000,2020-02-21 23:13:28.000000,36,3.0,2.0,594,170.0,Library for faster pinned CPU - GPU transfer in Pytorch.,3.0,16,True,2020-01-06 05:27:17.000000,0.1.6,14.0,SpeedTorch,,,,['pytorch'],5.0,3.0,https://pypi.org/project/SpeedTorch,2020-01-06 05:27:17.000000,2.0,66.0,66.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n749,ThunderGBM,Xtra-Computing/thundergbm,,ml-frameworks,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08.000000,2021-01-05 04:22:17.000000,2021-01-05 04:22:15.000000,71,20.0,26.0,576,606.0,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,10.0,16,True,2020-05-01 23:16:25.000000,0.3.16,24.0,thundergbm,,,,,,,https://pypi.org/project/thundergbm,2020-05-01 23:16:25.000000,,101.0,101.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n750,XAI,EthicalML/xai,,interpretability,https://github.com/EthicalML/xai,https://github.com/EthicalML/xai,MIT,2019-01-11 20:00:09.000000,2019-10-05 10:34:58.000000,2019-10-05 10:34:50.000000,82,4.0,2.0,557,83.0,XAI - An eXplainability toolbox for machine learning.,2.0,16,False,2019-01-13 21:24:01.000000,0.0.4,4.0,xai,,,,,15.0,9.0,https://pypi.org/project/xai,2019-01-13 21:24:01.000000,6.0,500.0,500.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n751,RLax,deepmind/rlax,,reinforcement-learning,https://github.com/deepmind/rlax,https://github.com/deepmind/rlax,Apache-2.0,2020-02-18 07:14:59.000000,2021-01-13 10:38:57.000000,2021-01-13 10:38:21.000000,40,3.0,3.0,540,101.0,A library of reinforcement learning building blocks in JAX.,10.0,16,True,2020-02-19 23:01:30.000000,0.1.0,3.0,rlax,,,,['jax'],9.0,9.0,https://pypi.org/project/rlax,2020-02-19 23:01:30.000000,,123.0,123.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n752,AlphaPy,ScottfreeLLC/AlphaPy,,hyperopt,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32.000000,2020-09-06 12:58:26.000000,2020-09-06 12:58:25.000000,112,10.0,29.0,538,407.0,\"Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost.\",3.0,16,True,2020-08-29 18:48:20.000000,2.5.0,24.0,alphapy,,,,,2.0,2.0,https://pypi.org/project/alphapy,2020-08-25 23:33:42.000000,,73.0,73.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n753,FlashTorch,MisaOgura/flashtorch,,interpretability,https://github.com/MisaOgura/flashtorch,https://github.com/MisaOgura/flashtorch,MIT,2019-03-22 13:00:57.000000,2020-12-14 23:09:26.000000,2020-05-29 14:37:29.000000,66,6.0,21.0,528,126.0,Visualization toolkit for neural networks in PyTorch! Demo --.,2.0,16,True,2020-05-29 14:39:38.000000,0.1.3,12.0,flashtorch,,,,['pytorch'],6.0,6.0,https://pypi.org/project/flashtorch,2020-05-29 14:38:32.000000,,166.0,166.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n754,Auto Tune Models,HDI-Project/ATM,,hyperopt,https://github.com/HDI-Project/ATM,https://github.com/HDI-Project/ATM,MIT,2016-10-14 18:03:00.000000,2020-02-21 17:44:07.000000,2020-02-21 17:40:58.000000,122,17.0,71.0,503,775.0,\"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).\",16.0,16,True,2019-07-30 09:28:26.000000,0.2.2,13.0,atm,,,,,6.0,6.0,https://pypi.org/project/atm,2019-06-24 13:31:28.000000,,38.0,38.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n755,Tensor Sensor,parrt/tensor-sensor,,pytorch-utils,https://github.com/parrt/tensor-sensor,https://github.com/parrt/tensor-sensor,MIT,2020-08-28 22:54:04.000000,2021-01-07 00:40:37.000000,2021-01-07 00:40:31.000000,24,4.0,12.0,498,155.0,The goal of this library is to generate more helpful exception messages for numpy/pytorch matrix algebra expressions.,2.0,16,True,2020-12-03 20:46:15.000000,0.1.1,33.0,tensor-sensor,,,,['pytorch'],1.0,1.0,https://pypi.org/project/tensor-sensor,2020-12-03 20:40:56.000000,,224.0,224.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n756,Performer Pytorch,lucidrains/performer-pytorch,,pytorch-utils,https://github.com/lucidrains/performer-pytorch,https://github.com/lucidrains/performer-pytorch,MIT,2020-10-03 03:41:36.000000,2021-01-17 01:23:12.000000,2021-01-17 01:22:36.000000,60,17.0,32.0,456,,\"An implementation of Performer, a linear attention-based transformer, in Pytorch.\",4.0,16,True,2021-01-17 01:23:12.000000,0.15.0,61.0,performer-pytorch,,,,['pytorch'],7.0,7.0,https://pypi.org/project/performer-pytorch,2021-01-17 01:23:12.000000,,883.0,883.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n757,tcav,tensorflow/tcav,,interpretability,https://github.com/tensorflow/tcav,https://github.com/tensorflow/tcav,Apache-2.0,2018-07-03 17:45:35.000000,2021-01-11 22:12:58.000000,2020-07-14 17:14:43.000000,96,2.0,40.0,425,144.0,Code for the TCAV ML interpretability project.,16.0,16,True,2019-06-10 18:29:51.000000,0.2.1,3.0,tcav,,,,['tensorflow'],7.0,6.0,https://pypi.org/project/tcav,2019-06-10 18:29:51.000000,1.0,36.0,36.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n758,TF Compression,tensorflow/compression,,tensorflow-utils,https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19.000000,2021-01-12 22:11:00.000000,2021-01-12 22:10:16.000000,148,1.0,54.0,420,139.0,Data compression in TensorFlow.,9.0,16,True,2021-01-06 01:50:06.000000,2.0b2,8.0,tensorflow-compression,,,,['tensorflow'],1.0,,https://pypi.org/project/tensorflow-compression,2021-01-06 01:36:13.000000,1.0,411.0,411.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n759,OpenRec,ylongqi/openrec,,recommender-systems,https://github.com/ylongqi/openrec,https://github.com/ylongqi/openrec,Apache-2.0,2017-11-29 16:04:40.000000,2020-11-13 17:47:17.000000,2020-02-19 07:57:17.000000,79,4.0,12.0,350,213.0,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms.,10.0,16,True,2018-11-13 17:55:55.000000,0.2.5,11.0,openrec,,,,,2.0,1.0,https://pypi.org/project/openrec,2019-09-11 20:21:21.000000,1.0,28.0,28.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n760,tfdeploy,riga/tfdeploy,,model-serialisation,https://github.com/riga/tfdeploy,https://github.com/riga/tfdeploy,BSD-3-Clause,2016-03-07 13:08:21.000000,2021-01-08 09:52:54.000000,2021-01-08 09:52:49.000000,38,10.0,23.0,346,170.0,Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.,4.0,16,True,2017-03-30 10:51:26.000000,0.4.2,22.0,tfdeploy,,,,['tensorflow'],2.0,,https://pypi.org/project/tfdeploy,2017-03-30 10:51:26.000000,2.0,48.0,48.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n761,pdvega,altair-viz/pdvega,,data-viz,https://github.com/altair-viz/pdvega,https://github.com/altair-viz/pdvega,MIT,2018-01-11 21:30:27.000000,2019-03-29 16:09:14.000000,2019-03-29 16:09:13.000000,28,16.0,10.0,339,177.0,Interactive plotting for Pandas using Vega-Lite.,9.0,16,False,,,1.0,pdvega,,,,,49.0,47.0,https://pypi.org/project/pdvega,2018-02-01 04:56:43.000000,2.0,84.0,84.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n762,datmo,datmo/datmo,,ml-experiments,https://github.com/datmo/datmo,https://github.com/datmo/datmo,MIT,2017-11-03 05:46:43.000000,2019-11-29 00:48:45.000000,2019-11-29 00:48:44.000000,28,42.0,149.0,333,1051.0,Open source production model management tool for data scientists.,6.0,16,False,2018-12-07 06:01:12.000000,0.0.40,41.0,datmo,,,,,5.0,5.0,https://pypi.org/project/datmo,2018-12-07 06:16:42.000000,,45.0,45.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n763,Pywick,achaiah/pywick,,pytorch-utils,https://github.com/achaiah/pywick,https://github.com/achaiah/pywick,MIT,2019-03-25 15:42:47.000000,2020-11-17 16:44:11.000000,2020-09-24 19:20:06.000000,35,2.0,9.0,309,109.0,High-level batteries-included neural network training library for Pytorch.,4.0,16,True,2020-01-20 22:14:21.000000,0.5.6,6.0,pywick,,,,['pytorch'],2.0,2.0,https://pypi.org/project/pywick,2020-01-20 22:14:21.000000,,209.0,209.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n764,pytorch_geometric_temporal,benedekrozemberczki/pytorch_geometric_temporal,,graph,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,MIT,2020-06-27 01:11:33.000000,2021-01-14 18:53:52.000000,2021-01-14 18:46:30.000000,31,1.0,15.0,309,794.0,A Temporal Extension Library for PyTorch Geometric.,3.0,16,True,2021-01-14 18:53:52.000000,_00012,12.0,torch-geometric-temporal,,,,['pytorch'],,,https://pypi.org/project/torch-geometric-temporal,2021-01-14 18:50:08.000000,,89.0,89.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n765,Case Recommender,caserec/CaseRecommender,,recommender-systems,https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39.000000,2020-05-26 22:44:05.000000,2020-05-26 22:44:05.000000,66,6.0,16.0,308,201.0,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems.,10.0,16,True,2019-08-20 13:38:02.000000,1.1.0,40.0,caserecommender,,,,['sklearn'],5.0,5.0,https://pypi.org/project/caserecommender,2019-08-20 13:42:28.000000,,37.0,37.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n766,VizSeq,facebookresearch/vizseq,,nlp,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38.000000,2020-12-13 18:55:58.000000,2020-12-13 18:55:54.000000,39,7.0,8.0,302,43.0,\"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).\",3.0,16,True,2020-08-07 01:13:52.000000,0.1.15,16.0,vizseq,,,,,1.0,1.0,https://pypi.org/project/vizseq,2020-08-07 01:13:52.000000,,44.0,44.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n767,LOFO,aerdem4/lofo-importance,,interpretability,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46.000000,2020-07-02 11:49:54.000000,2020-07-02 11:49:52.000000,40,1.0,10.0,291,24.0,Leave One Feature Out Importance.,3.0,16,True,2020-07-02 11:44:57.000000,0.2.6,9.0,lofo-importance,,,,,3.0,3.0,https://pypi.org/project/lofo-importance,2020-07-02 11:44:57.000000,,179.0,179.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n768,Muda,bmcfee/muda,,audio,https://github.com/bmcfee/muda,https://github.com/bmcfee/muda,ISC,2014-11-07 21:21:22.000000,2020-09-01 19:21:10.000000,2020-07-20 20:00:17.000000,30,5.0,44.0,172,291.0,A library for augmenting annotated audio data.,6.0,16,True,2019-11-15 15:46:21.000000,0.4.1,11.0,muda,,,,,8.0,7.0,https://pypi.org/project/muda,2019-11-15 15:46:21.000000,1.0,71.0,71.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n769,model-card-toolkit,tensorflow/model-card-toolkit,,interpretability,https://github.com/tensorflow/model-card-toolkit,https://github.com/tensorflow/model-card-toolkit,Apache-2.0,2020-07-24 16:48:58.000000,2021-01-15 18:02:21.000000,2021-01-14 23:29:13.000000,21,,2.0,154,79.0,a tool that leverages rich metadata and lineage information in MLMD to build a model card.,7.0,16,True,2020-10-16 19:26:46.000000,0.1.1,2.0,model-card-toolkit,,,,,1.0,1.0,https://pypi.org/project/model-card-toolkit,2020-10-16 19:26:46.000000,,69.0,69.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n770,elegy,poets-ai/elegy,,ml-frameworks,https://github.com/poets-ai/elegy,https://github.com/poets-ai/elegy,Apache-2.0,2020-06-30 14:00:37.000000,2021-01-17 14:25:43.000000,2021-01-12 21:32:51.000000,10,15.0,34.0,148,254.0,Elegy is a Neural Networks framework based on Jax and inspired by Keras.,11.0,16,False,2020-12-17 15:44:27.000000,0.3.0,15.0,elegy,,,,\"['tensorflow', 'jax']\",,,https://pypi.org/project/elegy,2020-12-17 15:41:58.000000,,229.0,229.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n771,imodels,csinva/imodels,,interpretability,https://github.com/csinva/imodels,https://github.com/csinva/imodels,MIT,2019-07-04 15:38:48.000000,2021-01-15 23:42:31.000000,2021-01-15 00:06:37.000000,14,,8.0,143,179.0,\"Interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible).\",3.0,16,False,2021-01-05 20:25:35.000000,0.2.6,6.0,imodels,,,,,5.0,5.0,https://pypi.org/project/imodels,2020-12-30 00:06:42.000000,,69.0,69.0,,,,,,,,3.0,,,,,,,,,,,,,,True,,,,,,,\n772,ipyexperiments,stas00/ipyexperiments,,gpu-utilities,https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40.000000,2020-11-17 04:11:19.000000,2020-11-17 04:11:16.000000,9,,4.0,123,177.0,jupyter/ipython experiment containers for GPU and general RAM re-use.,3.0,16,False,2020-11-16 07:08:34.000000,0.1.22,21.0,ipyexperiments,,,,['jupyter'],4.0,2.0,https://pypi.org/project/ipyexperiments,2020-11-17 04:10:43.000000,2.0,75.0,75.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n773,dabl,amueller/dabl,,sklearn-utils,https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49.000000,2021-01-11 23:09:14.000000,2020-07-08 16:14:41.000000,7,1.0,,62,252.0,Data Analysis Baseline Library.,18.0,16,False,2020-02-04 18:25:16.000000,0.1.9,10.0,dabl,,,,['sklearn'],,,https://pypi.org/project/dabl,2020-09-25 18:14:54.000000,,1811.0,1811.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n774,tinygrad,geohot/tinygrad,,pytorch-utils,https://github.com/geohot/tinygrad,https://github.com/geohot/tinygrad,MIT,2020-10-18 16:23:12.000000,2021-01-10 03:42:09.000000,2021-01-05 15:56:17.000000,439,13.0,61.0,3985,509.0,You like pytorch? You like micrograd? You love tinygrad!.,42.0,15,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n775,Botflow,kkyon/botflow,,data-pipelines,https://github.com/kkyon/botflow,https://github.com/kkyon/botflow,BSD-3-Clause,2018-08-20 03:13:31.000000,2020-12-31 09:03:22.000000,2019-05-23 14:40:50.000000,98,2.0,2.0,1153,192.0,\"Python Fast Dataflow programming framework for Data pipeline work( Web Crawler,Machine Learning,Quantitative..\",11.0,15,False,,,5.0,botflow,,,,,1.0,1.0,https://pypi.org/project/botflow,2018-09-14 14:38:32.000000,,19.0,19.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n776,aim,aimhubio/aim,,ml-experiments,https://github.com/aimhubio/aim,https://github.com/aimhubio/aim,Apache-2.0,2019-05-31 18:25:07.000000,2021-01-13 14:48:29.000000,2021-01-13 14:48:27.000000,45,14.0,25.0,780,,\"Aim a super-easy way to record, search and compare 1000s of ML training runs.\",8.0,15,True,2019-11-06 08:06:11.000000,3.1.0,41.0,aim,,,,,2.0,,https://pypi.org/project/aim,2021-01-07 09:21:55.000000,2.0,870.0,870.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n777,MedicalTorch,perone/medicaltorch,,medical-data,https://github.com/perone/medicaltorch,https://github.com/perone/medicaltorch,Apache-2.0,2018-02-27 02:50:07.000000,2020-09-30 13:21:57.000000,2019-08-15 10:03:51.000000,106,14.0,9.0,704,55.0,A medical imaging framework for Pytorch.,7.0,15,False,2018-11-24 00:33:11.000000,0.2,2.0,medicaltorch,,,,['pytorch'],9.0,9.0,https://pypi.org/project/medicaltorch,2018-11-24 00:29:36.000000,,198.0,198.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n778,Translate,pytorch/translate,,nlp,https://github.com/pytorch/translate,https://github.com/pytorch/translate,BSD-3-Clause,2018-04-24 16:44:04.000000,2020-12-29 05:05:10.000000,2020-12-29 05:05:03.000000,158,66.0,27.0,675,803.0,Translate - a PyTorch Language Library.,84.0,15,True,,,1.0,pytorch-translate,,,,['pytorch'],,,https://pypi.org/project/pytorch-translate,2018-05-01 19:59:40.000000,,3.0,3.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n779,torchsde,google-research/torchsde,,pytorch-utils,https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11.000000,2021-01-05 18:30:53.000000,2021-01-05 12:06:21.000000,54,6.0,26.0,631,140.0,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,4.0,15,True,2021-01-05 18:31:38.000000,0.2.4,4.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n780,AutoGL,THUMNLab/AutoGL,,graph,https://github.com/THUMNLab/AutoGL,https://github.com/THUMNLab/AutoGL,MIT,2020-11-30 14:26:22.000000,2021-01-17 09:12:44.000000,2020-12-29 10:32:05.000000,49,3.0,2.0,562,,An autoML framework & toolkit for machine learning on graphs.,4.0,15,True,2020-12-23 08:15:15.000000,0.1.1,2.0,auto-graph-learning,,,,['pytorch'],,,https://pypi.org/project/auto-graph-learning,2020-12-23 08:05:25.000000,,167.0,167.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n781,PandaPy,firmai/pandapy,,data-containers,https://github.com/firmai/pandapy,https://github.com/firmai/pandapy,MIT,2020-01-15 18:21:23.000000,2020-11-12 16:18:45.000000,2020-11-12 16:18:44.000000,44,2.0,1.0,467,83.0,PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai).,3.0,15,True,2020-11-12 16:12:54.000000,zen,22.0,pandapy,,,,['pandas'],1.0,1.0,https://pypi.org/project/pandapy,2020-01-25 23:10:32.000000,,56.0,56.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n782,cuSignal,rapidsai/cusignal,,gpu-utilities,https://github.com/rapidsai/cusignal,https://github.com/rapidsai/cusignal,Apache-2.0,2019-08-22 14:27:27.000000,2021-01-15 22:37:28.000000,2021-01-15 22:37:27.000000,57,17.0,81.0,434,,GPU accelerated signal processing.,28.0,15,True,2020-12-10 21:29:50.000000,0.17.0,3.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n783,zenml,maiot-io/zenml,,data-pipelines,https://github.com/maiot-io/zenml,https://github.com/maiot-io/zenml,Apache-2.0,2020-11-19 09:25:46.000000,2021-01-16 20:00:52.000000,2021-01-16 20:00:51.000000,23,1.0,3.0,382,,ZenML: Bring Zen to your ML with reproducible pipelines.,7.0,15,True,2021-01-08 13:37:51.000000,0.1.4,8.0,zenml,,,,,1.0,1.0,https://pypi.org/project/zenml,2021-01-08 13:33:32.000000,,226.0,226.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n784,Headliner,as-ideas/headliner,,nlp,https://github.com/as-ideas/headliner,https://github.com/as-ideas/headliner,MIT,2019-09-30 11:33:28.000000,2020-02-14 09:07:46.000000,2020-02-14 09:03:27.000000,37,1.0,13.0,219,276.0,Easy training and deployment of seq2seq models.,2.0,15,True,2020-01-24 09:06:29.000000,1.0.2,30.0,headliner,,,,,4.0,3.0,https://pypi.org/project/headliner,2020-01-24 09:06:29.000000,1.0,114.0,114.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n785,Parfit,jmcarpenter2/parfit,,hyperopt,https://github.com/jmcarpenter2/parfit,https://github.com/jmcarpenter2/parfit,MIT,2017-11-22 20:17:51.000000,2020-04-04 19:26:44.000000,2020-04-04 19:26:37.000000,25,5.0,5.0,198,127.0,\"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..\",2.0,15,True,,,23.0,parfit,,,,['sklearn'],7.0,7.0,https://pypi.org/project/parfit,2018-10-11 22:03:16.000000,,3893.0,3893.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n786,NeuralQA,victordibia/neuralqa,,nlp,https://github.com/victordibia/neuralqa,https://github.com/victordibia/neuralqa,MIT,2020-05-19 03:55:56.000000,2020-12-16 17:42:12.000000,2020-12-16 17:41:37.000000,23,18.0,8.0,180,312.0,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,3.0,15,True,,,26.0,neuralqa,,,,,2.0,2.0,https://pypi.org/project/neuralqa,2020-07-29 16:39:37.000000,,34.0,34.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n787,steppy,minerva-ml/steppy,,ml-experiments,https://github.com/minerva-ml/steppy,https://github.com/minerva-ml/steppy,MIT,2018-01-15 09:40:49.000000,2018-11-23 09:49:59.000000,2018-11-23 09:47:34.000000,31,16.0,50.0,126,69.0,\"Lightweight, Python library for fast and reproducible experimentation.\",5.0,15,False,2018-11-23 09:49:59.000000,0.1.16,16.0,steppy,,,,,41.0,36.0,https://pypi.org/project/steppy,2018-11-23 09:49:59.000000,5.0,35.0,35.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n788,Larq Compute Engine,larq/compute-engine,,model-serialisation,https://github.com/larq/compute-engine,https://github.com/larq/compute-engine,Apache-2.0,2019-08-29 15:02:43.000000,2021-01-13 09:48:38.000000,2021-01-13 09:48:36.000000,20,21.0,88.0,122,441.0,Highly optimized inference engine for Binarized Neural Networks.,14.0,15,False,2020-09-21 13:31:57.000000,0.4.3,11.0,larq-compute-engine,,,,,1.0,1.0,https://pypi.org/project/larq-compute-engine,2020-09-21 17:41:53.000000,,115.0,127.0,,,,,,,,3.0,137.0,,,,,,,,,,,,,,,,,,,,\n789,DE⫶TR,facebookresearch/detr,,image,https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52.000000,2021-01-16 14:33:22.000000,2020-11-15 16:03:45.000000,851,56.0,204.0,5918,41.0,End-to-End Object Detection with Transformers.,19.0,14,True,2020-06-29 16:41:01.000000,0.2,1.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n790,PySlowFast,facebookresearch/SlowFast,,image,https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26.000000,2021-01-07 19:07:34.000000,2021-01-07 19:07:27.000000,619,156.0,183.0,3265,97.0,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,19.0,14,True,,,,,,,,['pytorch'],2.0,2.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n791,OpenNRE,thunlp/OpenNRE,,nlp,https://github.com/thunlp/OpenNRE,https://github.com/thunlp/OpenNRE,MIT,2017-02-26 07:37:12.000000,2021-01-15 02:29:36.000000,2020-11-24 06:37:04.000000,830,18.0,284.0,2939,135.0,An Open-Source Package for Neural Relation Extraction (NRE).,9.0,14,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n792,Euler,alibaba/euler,,graph,https://github.com/alibaba/euler,https://github.com/alibaba/euler,Apache-2.0,2019-01-10 06:32:32.000000,2020-07-29 05:53:02.000000,2020-07-29 05:53:01.000000,501,200.0,97.0,2474,8.0,A distributed graph deep learning framework.,5.0,14,True,2020-07-07 02:24:18.000000,2.0.0,2.0,euler-gl,,,,['tensorflow'],,,https://pypi.org/project/euler-gl,2019-04-10 01:53:45.000000,,7.0,7.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n793,ENAS,carpedm20/ENAS-pytorch,,hyperopt,https://github.com/carpedm20/ENAS-pytorch,https://github.com/carpedm20/ENAS-pytorch,Apache-2.0,2018-02-15 04:54:37.000000,2020-12-09 18:13:03.000000,2020-06-16 07:23:32.000000,443,37.0,7.0,2370,53.0,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,6.0,14,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n794,GraphSAGE,williamleif/GraphSAGE,,graph,https://github.com/williamleif/GraphSAGE,https://github.com/williamleif/GraphSAGE,MIT,2017-05-29 15:36:22.000000,2020-11-13 17:49:54.000000,2018-09-19 19:27:00.000000,603,77.0,58.0,2112,59.0,Representation learning on large graphs using stochastic graph convolutions.,9.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n795,ZhuSuan,thu-ml/zhusuan,,probabilistics,https://github.com/thu-ml/zhusuan,https://github.com/thu-ml/zhusuan,MIT,2016-07-18 13:31:38.000000,2020-01-09 14:51:27.000000,2019-08-05 10:00:04.000000,375,8.0,53.0,2002,439.0,\"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.\",20.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n796,GraphEmbedding,shenweichen/GraphEmbedding,,graph,https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20.000000,2020-10-18 09:32:47.000000,2020-10-18 09:32:47.000000,545,27.0,13.0,1735,28.0,Implementation and experiments of graph embedding algorithms.,6.0,14,True,,,,,,,,['sklearn'],7.0,7.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n797,OpenNE,thunlp/OpenNE,,graph,https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20.000000,2020-11-30 14:02:23.000000,2019-08-12 10:56:27.000000,440,50.0,81.0,1395,98.0,An Open-Source Package for Network Embedding (NE).,10.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n798,Anchor,marcotcr/anchor,,interpretability,https://github.com/marcotcr/anchor,https://github.com/marcotcr/anchor,BSD-2-Clause,2018-02-02 23:38:50.000000,2020-09-10 17:49:26.000000,2020-09-10 17:48:28.000000,87,9.0,45.0,614,39.0,Code for High-Precision Model-Agnostic Explanations paper.,8.0,14,True,,,8.0,anchor_exp,,,,,,,https://pypi.org/project/anchor_exp,2020-06-26 20:56:50.000000,,435.0,435.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n799,Tez,abhishekkrthakur/tez,,pytorch-utils,https://github.com/abhishekkrthakur/tez,https://github.com/abhishekkrthakur/tez,Apache-2.0,2020-11-13 10:19:22.000000,2021-01-15 11:04:11.000000,2021-01-15 11:04:10.000000,46,7.0,6.0,399,,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,1.0,14,True,2020-12-26 12:37:23.000000,0.0.8,7.0,tez,,,,['pytorch'],,,https://pypi.org/project/tez,2020-12-26 12:37:23.000000,,1008.0,1008.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n800,TransferNLP,feedly/transfer-nlp,,nlp,https://github.com/feedly/transfer-nlp,https://github.com/feedly/transfer-nlp,MIT,2019-03-12 20:00:31.000000,2020-05-28 19:00:02.000000,2020-05-28 17:31:53.000000,18,4.0,19.0,285,465.0,NLP library designed for reproducible experimentation management.,7.0,14,True,2020-05-28 19:00:02.000000,0.1.6,8.0,transfer-nlp,,,,['pytorch'],,,https://pypi.org/project/transfer-nlp,2020-05-28 19:00:02.000000,,39.0,39.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n801,textvec,textvec/textvec,,nlp,https://github.com/textvec/textvec,https://github.com/textvec/textvec,MIT,2018-04-12 14:03:53.000000,2020-12-03 14:23:11.000000,2020-12-03 14:23:04.000000,21,2.0,6.0,154,70.0,Text vectorization tool to outperform TFIDF for classification tasks.,5.0,14,True,2019-09-12 07:41:04.000000,2.0,4.0,textvec,,,,['sklearn'],2.0,2.0,https://pypi.org/project/textvec,2020-12-03 14:17:09.000000,,84.0,84.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n802,ModelChimp,ModelChimp/modelchimp,,ml-experiments,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03.000000,2021-01-15 23:23:31.000000,2021-01-15 13:54:13.000000,11,4.0,10.0,119,360.0,Experiment tracking for machine and deep learning projects.,3.0,14,False,2019-04-09 10:43:15.000000,0.4.0,37.0,modelchimp,,modelchimp/modelchimp-server,,,,,https://pypi.org/project/modelchimp,2019-04-09 10:41:20.000000,,62.0,86.0,,,,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,634.0,3.0,,,,,,,,,,,,,,,,,,,,,\n803,DeepNeuro,QTIM-Lab/DeepNeuro,,medical-data,https://github.com/QTIM-Lab/DeepNeuro,https://github.com/QTIM-Lab/DeepNeuro,MIT,2017-06-01 19:36:34.000000,2020-06-24 13:00:15.000000,2020-06-24 13:00:14.000000,29,25.0,16.0,98,285.0,A deep learning python package for neuroimaging data. Made by:.,6.0,14,False,2019-04-11 16:57:02.000000,0.2.2,5.0,deepneuro,,,,,1.0,1.0,https://pypi.org/project/deepneuro,2019-04-11 16:57:02.000000,,41.0,41.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n804,nptsne,biovault/nptsne,,data-viz,https://github.com/biovault/nptsne,https://github.com/biovault/nptsne,Apache-2.0,2019-06-28 08:40:25.000000,2020-11-16 13:56:05.000000,2020-11-13 16:38:47.000000,2,7.0,2.0,24,834.0,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,3.0,14,False,2020-09-10 23:54:14.000000,1.1.0,2.0,nptsne,,,,,2.0,2.0,https://pypi.org/project/nptsne,2020-09-10 23:54:14.000000,,97.0,97.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n805,StarSpace,facebookresearch/StarSpace,,ml-frameworks,https://github.com/facebookresearch/StarSpace,https://github.com/facebookresearch/StarSpace,MIT,2017-06-28 17:50:18.000000,2020-05-18 03:40:57.000000,2019-12-13 19:03:25.000000,475,46.0,146.0,3525,138.0,\"Learning embeddings for classification, retrieval and ranking.\",17.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n806,OpenKE,thunlp/OpenKE,,graph,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,MIT,2017-10-08 11:20:23.000000,2020-04-08 11:00:38.000000,2020-04-08 11:00:32.000000,722,46.0,222.0,2336,97.0,An Open-Source Package for Knowledge Embedding (KE).,10.0,13,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n807,micrograd,karpathy/micrograd,,pytorch-utils,https://github.com/karpathy/micrograd,https://github.com/karpathy/micrograd,MIT,2020-04-13 04:31:18.000000,2020-12-18 12:55:50.000000,2020-04-18 19:15:25.000000,110,2.0,3.0,1551,24.0,A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.,2.0,13,True,2020-04-18 19:06:59.000000,0.1.0,1.0,micrograd,,,,['pytorch'],,,https://pypi.org/project/micrograd,2020-04-18 19:06:59.000000,,20.0,20.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n808,pycls,facebookresearch/pycls,,image,https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17.000000,2021-01-14 21:14:56.000000,2021-01-14 21:14:50.000000,148,10.0,44.0,1412,72.0,\"Codebase for Image Classification Research, written in PyTorch.\",9.0,13,True,2020-04-15 19:33:22.000000,0.1,1.0,,,,,['pytorch'],2.0,2.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n809,Torch-Struct,harvardnlp/pytorch-struct,,pytorch-utils,https://github.com/harvardnlp/pytorch-struct,https://github.com/harvardnlp/pytorch-struct,MIT,2019-08-26 19:34:30.000000,2021-01-16 04:38:00.000000,2021-01-16 04:35:27.000000,69,13.0,22.0,875,258.0,\"Fast, general, and tested differentiable structured prediction in PyTorch.\",12.0,13,True,2019-11-25 04:08:05.000000,0.4,1.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n810,GraphVite,DeepGraphLearning/graphvite,,graph,https://github.com/DeepGraphLearning/graphvite,https://github.com/DeepGraphLearning/graphvite,Apache-2.0,2019-07-16 15:48:20.000000,2021-01-14 02:19:03.000000,2021-01-14 02:18:46.000000,115,24.0,53.0,832,15.0,GraphVite: A General and High-performance Graph Embedding System.,1.0,13,True,,,4.0,,milagraph/graphvite,,,,,,,,,,198.0,https://anaconda.org/milagraph/graphvite,2020-03-19 18:21:30.972000,3367.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n811,NeoML,neoml-lib/neoml,,ml-frameworks,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000000,2021-01-15 14:02:45.000000,2021-01-15 14:02:27.000000,78,16.0,13.0,555,178.0,Machine learning framework for both deep learning and traditional algorithms.,16.0,13,True,2020-06-14 17:44:03.000000,NeoML-master_1.0.1.0,1.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n812,Adversary,airbnb/artificial-adversary,,adversarial,https://github.com/airbnb/artificial-adversary,https://github.com/airbnb/artificial-adversary,MIT,2018-08-08 04:42:11.000000,2018-10-14 05:34:44.000000,2018-08-29 15:31:30.000000,47,7.0,,339,15.0,Tool to generate adversarial text examples and test machine learning models against them.,5.0,13,False,2018-08-29 15:14:41.000000,1.1.1,3.0,Adversary,,,,,6.0,6.0,https://pypi.org/project/Adversary,2018-08-29 15:14:41.000000,,10.0,10.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n813,Julius,adefossez/julius,,audio,https://github.com/adefossez/julius,https://github.com/adefossez/julius,MIT,2020-10-26 10:54:21.000000,2020-12-10 12:50:51.000000,2020-12-10 12:50:47.000000,6,,3.0,164,,Fast PyTorch based DSP for audio and 1D signals.,2.0,13,True,2020-11-25 18:04:38.000000,0.2.0,4.0,julius,,,,['pytorch'],2.0,2.0,https://pypi.org/project/julius,2020-11-25 18:04:38.000000,,161.0,161.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n814,Auptimizer,LGE-ARC-AdvancedAI/auptimizer,,hyperopt,https://github.com/LGE-ARC-AdvancedAI/auptimizer,https://github.com/LGE-ARC-AdvancedAI/auptimizer,GPL-3.0,2019-09-12 01:08:37.000000,2020-12-04 01:00:53.000000,2020-12-04 00:51:11.000000,20,1.0,3.0,155,68.0,An automatic ML model optimization tool.,11.0,13,False,2020-11-19 05:14:22.000000,1.4,6.0,auptimizer,,,,,,,https://pypi.org/project/auptimizer,2020-11-19 00:23:49.000000,,25.0,25.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n815,nx-altair,Zsailer/nx_altair,,data-viz,https://github.com/Zsailer/nx_altair,https://github.com/Zsailer/nx_altair,MIT,2018-05-13 00:10:12.000000,2020-09-30 12:01:08.000000,2020-06-02 21:10:26.000000,19,4.0,4.0,153,51.0,Draw interactive NetworkX graphs with Altair.,3.0,13,True,2020-06-02 21:11:12.000000,0.1.6,8.0,nx-altair,,,,['jupyter'],2.0,,https://pypi.org/project/nx-altair,2020-06-02 21:11:12.000000,2.0,130.0,130.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n816,Hypermax,electricbrainio/hypermax,,hyperopt,https://github.com/electricbrainio/hypermax,https://github.com/electricbrainio/hypermax,BSD-3-Clause,2018-07-27 18:43:01.000000,2020-08-02 18:08:50.000000,2020-08-02 18:08:46.000000,15,3.0,1.0,95,207.0,\"Better, faster hyper-parameter optimization.\",9.0,13,False,2019-10-23 15:40:12.000000,0.5.1,11.0,hypermax,,,,,4.0,4.0,https://pypi.org/project/hypermax,2019-10-23 15:40:12.000000,,14.0,14.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n817,contextual-ai,SAP/contextual-ai,,interpretability,https://github.com/SAP/contextual-ai,https://github.com/SAP/contextual-ai,Apache-2.0,2020-05-12 07:15:56.000000,2021-01-06 08:59:25.000000,2021-01-05 07:52:16.000000,9,4.0,1.0,65,615.0,\"Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference -..\",10.0,13,False,2020-06-16 14:16:10.000000,0.0.1,1.0,contextual-ai,,,,,,,https://pypi.org/project/contextual-ai,2020-06-16 14:16:10.000000,,62.0,62.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n818,Medical Detection Toolkit,MIC-DKFZ/medicaldetectiontoolkit,,medical-data,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,Apache-2.0,2018-10-12 12:34:57.000000,2020-10-14 11:17:37.000000,2020-04-18 12:52:08.000000,230,27.0,85.0,891,36.0,\"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..\",3.0,12,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n819,LazyCluster,ml-tooling/lazycluster,,distributed-ml,https://github.com/ml-tooling/lazycluster,https://github.com/ml-tooling/lazycluster,Apache-2.0,2019-08-07 08:05:13.000000,2021-01-06 15:20:04.000000,2020-12-14 15:24:53.000000,5,,,33,,Distributed machine learning made simple.,2.0,12,False,2020-12-14 15:25:59.000000,0.2.4,5.0,lazycluster,,,,,2.0,2.0,https://pypi.org/project/lazycluster,2020-12-14 14:49:33.000000,,115.0,115.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n820,featurewiz,AutoViML/featurewiz,,hyperopt,https://github.com/AutoViML/featurewiz,https://github.com/AutoViML/featurewiz,Apache-2.0,2020-11-29 16:46:16.000000,2020-12-27 16:17:18.000000,2020-12-27 16:15:42.000000,9,,,17,,Use advanced feature engineering strategies and select the best features from your data set fast with a single line of..,,12,False,2020-12-27 16:17:18.000000,0.0.14,14.0,featurewiz,,,,,,,https://pypi.org/project/featurewiz,2020-12-27 16:17:18.000000,,427.0,427.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n821,MedicalNet,Tencent/MedicalNet,,medical-data,https://github.com/Tencent/MedicalNet,https://github.com/Tencent/MedicalNet,MIT,2019-07-17 09:53:10.000000,2020-08-27 13:37:27.000000,2020-08-27 13:37:26.000000,279,42.0,14.0,1038,26.0,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,1.0,11,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n822,surpriver,tradytics/surpriver,,financial-data,https://github.com/tradytics/surpriver,https://github.com/tradytics/surpriver,GPL-3.0,2020-08-30 07:56:22.000000,2020-11-13 00:48:16.000000,2020-09-21 04:32:05.000000,191,7.0,4.0,1032,64.0,Find big moving stocks before they move using machine learning and anomaly detection.,6.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n823,Devol,joeddav/devol,,hyperopt,https://github.com/joeddav/devol,https://github.com/joeddav/devol,MIT,2017-02-10 03:07:54.000000,2020-07-05 21:56:59.000000,2020-07-05 21:56:58.000000,109,7.0,20.0,925,116.0,Genetic neural architecture search with Keras.,18.0,11,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n824,PySparNN,facebookresearch/pysparnn,,nn-search,https://github.com/facebookresearch/pysparnn,https://github.com/facebookresearch/pysparnn,BSD-3-Clause,2016-03-28 20:43:42.000000,2020-10-02 06:01:01.000000,2018-01-31 16:50:23.000000,142,11.0,14.0,844,147.0,Approximate Nearest Neighbor Search for Sparse Data in Python!.,5.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n825,ONNX-T5,abelriboulot/onnxt5,,nlp,https://github.com/abelriboulot/onnxt5,https://github.com/abelriboulot/onnxt5,Apache-2.0,2020-08-01 09:38:35.000000,2020-09-02 11:27:43.000000,2020-09-02 11:27:37.000000,17,3.0,6.0,134,68.0,\"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..\",2.0,11,False,2020-08-15 15:25:00.000000,0.1.6,10.0,onnxt5,,,,,,,https://pypi.org/project/onnxt5,2020-09-02 11:22:09.000000,,108.0,108.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n826,Attribution Priors,suinleelab/attributionpriors,,interpretability,https://github.com/suinleelab/attributionpriors,https://github.com/suinleelab/attributionpriors,MIT,2019-06-24 23:54:24.000000,2020-09-12 05:57:02.000000,2020-09-12 05:56:51.000000,3,1.0,3.0,71,64.0,Tools for training explainable models using attribution priors.,6.0,11,False,2019-07-18 21:13:37.000000,0.1.3,4.0,attributionpriors,,,,\"['tensorflow', 'pytorch']\",,,https://pypi.org/project/attributionpriors,2019-10-31 18:03:05.000000,,5.0,5.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n827,Hypertunity,gdikov/hypertunity,,hyperopt,https://github.com/gdikov/hypertunity,https://github.com/gdikov/hypertunity,Apache-2.0,2019-06-02 12:04:55.000000,2020-01-26 23:14:49.000000,2020-01-26 22:53:29.000000,9,,2.0,119,64.0,A toolset for black-box hyperparameter optimisation.,2.0,10,False,2020-01-26 23:08:16.000000,1.0.1,7.0,hypertunity,,,,,2.0,2.0,https://pypi.org/project/hypertunity,2020-01-26 23:08:16.000000,,15.0,15.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n828,traintool,jrieke/traintool,,ml-experiments,https://github.com/jrieke/traintool,https://github.com/jrieke/traintool,Apache-2.0,2020-09-30 22:23:05.000000,2020-11-18 02:51:43.000000,2020-11-18 02:50:52.000000,1,,,9,120.0,Train off-the-shelf machine learning models in one line of code.,,10,False,2020-11-02 02:25:32.000000,0.0.3,3.0,traintool,,,,\"['pytorch', 'tensorflow', 'sklearn']\",,,https://pypi.org/project/traintool,2020-11-02 02:25:32.000000,,17.0,17.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n829,traingenerator,jrieke/traingenerator,,others,https://github.com/jrieke/traingenerator,https://github.com/jrieke/traingenerator,MIT,2020-12-03 16:47:16.000000,2021-01-14 13:51:59.000000,2021-01-14 13:51:53.000000,107,10.0,,867,,A web app to generate template code for machine learning.,1.0,9,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n"
  },
  {
    "path": "history/2021-01-21_changes.md",
    "content": "## 📈 Trending Up\n\n_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._\n\n- <b><a href=\"https://github.com/madmaze/pytesseract\">Tesseract</a></b> (🥇30 ·  ⭐ 3.4K · 📈) - Python-tesseract is an optical character recognition (OCR).. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/aws/sagemaker-python-sdk\">SageMaker SDK</a></b> (🥇30 ·  ⭐ 1.3K · 📈) - A library for training and deploying machine learning.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1X\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/pydata/bottleneck\">Bottleneck</a></b> (🥈29 ·  ⭐ 570 · 📈) - Fast NumPy array functions written in C. <code><a href=\"http://bit.ly/3rqEWVr\">BSD-2</a></code>\n- <b><a href=\"https://github.com/OpenNMT/OpenNMT-py\">OpenNMT</a></b> (🥈28 ·  ⭐ 4.8K · 📈) - Open Source Neural Machine Translation in PyTorch. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/clab/dynet\">dyNET</a></b> (🥉28 ·  ⭐ 3.2K · 📈) - DyNet: The Dynamic Neural Network Toolkit. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/tslearn-team/tslearn\">tslearn</a></b> (🥇28 ·  ⭐ 1.4K · 📈) - A machine learning toolkit dedicated to time-series data. <code><a href=\"http://bit.ly/3rqEWVr\">BSD-2</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/euske/pdfminer\">PDFMiner</a></b> (🥉27 ·  ⭐ 4.5K · 💤) - Python PDF Parser (Not actively maintained). Check out pdfminer.six. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/LuminosoInsight/python-ftfy\">ftfy</a></b> (🥈26 ·  ⭐ 2.9K · 📈) - Fixes mojibake and other glitches in Unicode text, after the fact. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/serge-sans-paille/pythran\">Pythran</a></b> (🥈26 ·  ⭐ 1.5K · 📈) - Ahead of Time compiler for numeric kernels. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/larq/compute-engine\">Larq Compute Engine</a></b> (🥉17 ·  ⭐ 120 · 📈) - Highly optimized inference engine for Binarized.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n\n## 📉 Trending Down\n\n_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._\n\n- <b><a href=\"https://github.com/scikit-optimize/scikit-optimize\">scikit-optimize</a></b> (🥇30 ·  ⭐ 2K · 📉) - Sequential model-based optimization with a.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/EpistasisLab/tpot\">TPOT</a></b> (🥇29 ·  ⭐ 7.8K · 📉) - A Python Automated Machine Learning tool that optimizes.. <code><a href=\"http://bit.ly/37RvQcA\">❗️LGPL-3.0</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/alteryx/featuretools\">featuretools</a></b> (🥈27 ·  ⭐ 5.3K · 📉) - An open source python library for automated feature.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/bmabey/pyLDAvis\">pyLDAvis</a></b> (🥇27 ·  ⭐ 1.4K · 📉) - Python library for interactive topic model visualization... <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/espnet/espnet\">espnet</a></b> (🥉24 ·  ⭐ 3.3K · 📉) - End-to-End Speech Processing Toolkit. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/MTG/essentia\">Essentia</a></b> (🥉22 ·  ⭐ 1.7K · 📉) - C++ library for audio and music analysis, description and.. <code><a href=\"http://bit.ly/3pwmjO5\">❗️AGPL-3.0</a></code>\n- <b><a href=\"https://github.com/anderskm/gputil\">GPUtil</a></b> (🥈22 ·  ⭐ 660 · 💀) - A Python module for getting the GPU status from NVIDA GPUs using.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/waleedka/hiddenlayer\">hiddenlayer</a></b> (🥉19 ·  ⭐ 1.4K · 💤) - Neural network graphs and training metrics for.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/IndicoDataSolutions/finetune\">finetune</a></b> (🥉19 ·  ⭐ 630 · 📉) - Scikit-learn style model finetuning for NLP. <code><a href=\"http://bit.ly/3postzC\">MPL-2.0</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/EpistasisLab/scikit-rebate\">scikit-rebate</a></b> (🥉19 ·  ⭐ 300 · 📉) - A scikit-learn-compatible Python implementation of.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n\n## ➕ Added Projects\n\n_Projects that were recently added to this best-of list._\n\n- <b><a href=\"https://github.com/apache/flink\">PyFlink</a></b> (🥈33 ·  ⭐ 15K · ➕) - Apache Flink Python API. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/visgl/deck.gl\">pydeck</a></b> (🥇33 ·  ⭐ 8.3K · ➕) - WebGL2 powered geospatial visualization layers. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://openpyxl.readthedocs.io\">openpyxl</a></b> (🥉22 ·  ⭐ 17 · ➕) - A Python library to read/write Excel 2010 xlsx/xlsm files. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/google/objax\">Objax</a></b> (🥉18 ·  ⭐ 550 · 🐣) - Objax is a machine learning framework that provides an Object.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code>jax</code>\n- <b><a href=\"https://github.com/EthicalML/vulkan-kompute\">Vulkan Kompute</a></b> (🥉16 ·  ⭐ 290 · 🐣) - General purpose GPU compute framework for cross vendor.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/IBCNServices/pyRDF2Vec\">pyRDF2Vec</a></b> (🥉15 ·  ⭐ 79 · ➕) - Python Implementation and Extension of RDF2Vec. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n\n"
  },
  {
    "path": "history/2021-01-21_projects.csv",
    "content": ",name,github_id,resource,category,github_url,homepage,license,created_at,updated_at,last_commit_pushed_at,fork_count,open_issue_count,closed_issue_count,star_count,commit_count,description,contributor_count,projectrank,show,latest_stable_release_published_at,latest_stable_release_number,release_count,pypi_id,conda_id,dockerhub_id,docs_url,labels,dependent_project_count,github_dependent_project_count,pypi_url,pypi_latest_release_published_at,pypi_dependent_project_count,pypi_monthly_downloads,monthly_downloads,conda_url,conda_latest_release_published_at,conda_total_downloads,dockerhub_url,dockerhub_latest_release_published_at,dockerhub_stars,dockerhub_pulls,projectrank_placing,github_release_downloads,helm_id,npm_id,npm_url,npm_latest_release_published_at,npm_dependent_project_count,npm_monthly_downloads,conda_dependent_project_count,new_addition,brew_id,apt_id,yum_id,trending,snap_id,dnf_id,yay_id,maven_id,maven_url,maven_latest_release_published_at,maven_dependent_project_count,updated_github_id,gitlab_id,gitlab_url\n0,ANN Benchmarks,erikbern/ann-benchmarks,True,nn-search,https://github.com/erikbern/ann-benchmarks,https://github.com/erikbern/ann-benchmarks,MIT,2015-05-28 13:21:43.000000,2021-01-19 14:23:05.000000,2021-01-19 03:21:36.000000,317,25.0,56.0,2016,1163.0,Benchmarks of approximate nearest neighbor libraries in Python.,53.0,0,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n1,best-of-web-python - Web Scraping,ml-tooling/best-of-web-python,True,web-scraping,https://github.com/ml-tooling/best-of-web-python,https://github.com/ml-tooling/best-of-web-python,CC-BY-SA-4.0,2021-01-05 13:09:27.000000,2021-01-21 15:48:51.000000,2021-01-21 11:59:31.000000,42,,,820,,Collection of web-scraping and crawling libraries.,4.0,0,True,2021-01-17 11:09:06.000000,2021.01.16,4.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n2,best-of-python - DB Clients,ml-tooling/best-of-web-python,True,db-clients,https://github.com/ml-tooling/best-of-web-python,https://github.com/ml-tooling/best-of-web-python,CC-BY-SA-4.0,2021-01-05 13:09:27.000000,2021-01-21 15:48:51.000000,2021-01-21 11:59:31.000000,42,,,821,,Collection of database clients for python.,4.0,0,True,2021-01-17 11:09:06.000000,2021.01.16,4.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n3,Tensorflow,tensorflow/tensorflow,,ml-frameworks,https://github.com/tensorflow/tensorflow,https://github.com/tensorflow/tensorflow,Apache-2.0,2015-11-07 01:19:20.000000,2021-01-21 14:46:08.483292,2021-01-21 12:48:00.000000,83741,4285.0,25731.0,154437,103212.0,An Open Source Machine Learning Framework for Everyone.,3499.0,44,True,2021-01-06 17:51:27.000000,2.3.2,114.0,tensorflow,conda-forge/tensorflow,tensorflow/tensorflow,https://www.tensorflow.org/overview,['tensorflow'],140925.0,118401.0,https://pypi.org/project/tensorflow,2020-12-14 17:58:05.000000,22524.0,4581764.0,5376690.0,https://anaconda.org/conda-forge/tensorflow,2020-07-15 22:30:18.070000,2268789.0,https://hub.docker.com/r/tensorflow/tensorflow,2021-01-21 14:46:08.483292,1833.0,46860189.0,1.0,,,,,,,,,,,,,,,,,,,,,,,\n4,pandas,pandas-dev/pandas,,data-containers,https://github.com/pandas-dev/pandas,https://github.com/pandas-dev/pandas,BSD-3-Clause,2010-08-24 01:37:33.000000,2021-01-21 15:19:46.000000,2021-01-21 15:19:45.000000,11726,3592.0,16341.0,28150,25664.0,\"Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R..\",2572.0,42,True,2021-01-20 13:34:07.000000,1.2.1,88.0,pandas,conda-forge/pandas,,,['pandas'],446901.0,370117.0,https://pypi.org/project/pandas,2021-01-20 13:34:07.000000,76784.0,21948046.0,22186638.0,https://anaconda.org/conda-forge/pandas,2021-01-20 19:11:38.815000,13298890.0,,,,,1.0,93414.0,,,,,,,,,,,,,,,,,,,,,,\n5,numpy,numpy/numpy,,data-containers,https://github.com/numpy/numpy,https://github.com/numpy/numpy,BSD-3-Clause,2010-09-13 23:02:39.000000,2021-01-21 03:07:36.000000,2021-01-21 01:02:23.000000,5183,2242.0,7251.0,16014,25247.0,The fundamental package for scientific computing with Python.,1237.0,42,True,2021-01-05 17:49:34.000000,1.19.5,94.0,numpy,conda-forge/numpy,,,,774409.0,604687.0,https://pypi.org/project/numpy,2021-01-05 17:19:38.000000,169722.0,35576880.0,35857259.0,https://anaconda.org/conda-forge/numpy,2021-01-11 07:51:33.196000,15368578.0,,,,,1.0,297094.0,,,,,,,,,,,,,,,,,,,,,,\n6,scikit-learn,scikit-learn/scikit-learn,,ml-frameworks,https://github.com/scikit-learn/scikit-learn,https://github.com/scikit-learn/scikit-learn,BSD-3-Clause,2010-08-17 09:43:38.000000,2021-01-21 14:41:56.000000,2021-01-20 17:35:31.000000,20878,2329.0,6629.0,43795,26436.0,scikit-learn: machine learning in Python.,2122.0,41,True,2021-01-19 18:10:37.000000,0.24.1,53.0,scikit-learn,conda-forge/scikit-learn,,,['sklearn'],222389.0,184501.0,https://pypi.org/project/scikit-learn,2021-01-19 18:06:50.000000,37888.0,9385067.0,9499426.0,https://anaconda.org/conda-forge/scikit-learn,2021-01-19 19:00:36.456000,6403508.0,,,,,1.0,635.0,,,,,,,,,,,,,,,,,,,,,,\n7,Matplotlib,matplotlib/matplotlib,,data-viz,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,Python-2.0,2011-02-19 03:17:12.000000,2021-01-21 14:04:15.000000,2021-01-21 01:44:02.000000,5603,1663.0,5937.0,12963,37631.0,matplotlib: plotting with Python.,1194.0,41,True,2020-11-12 04:43:18.000000,3.3.3,61.0,matplotlib,conda-forge/matplotlib,,,,394905.0,315801.0,https://pypi.org/project/matplotlib,2020-11-12 04:43:18.000000,79104.0,8354800.0,8476376.0,https://anaconda.org/conda-forge/matplotlib,2021-01-14 06:32:33.548000,7780916.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n8,scipy,scipy/scipy,,others,https://github.com/scipy/scipy,https://github.com/scipy/scipy,BSD-3-Clause,2011-03-09 18:52:03.000000,2021-01-21 14:12:16.000000,2021-01-21 03:47:20.000000,3516,1578.0,5673.0,7850,24794.0,\"Ecosystem of open-source software for mathematics, science, and engineering.\",1110.0,40,True,2020-12-31 15:02:43.000000,1.6.0,59.0,scipy,conda-forge/scipy,,,,381829.0,294967.0,https://pypi.org/project/scipy,2020-12-22 21:20:33.000000,86862.0,12821729.0,13037526.0,https://anaconda.org/conda-forge/scipy,2021-01-12 04:49:45.843000,11826518.0,,,,,1.0,304299.0,,,,,,,,,,,,,,,,,,,,,,\n9,PyTorch,pytorch/pytorch,,ml-frameworks,https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41.000000,2021-01-21 14:45:04.000000,2021-01-21 09:23:05.000000,11714,7100.0,12647.0,45631,32895.0,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,2467.0,39,True,2020-12-10 17:19:58.000000,1.7.1,30.0,torch,pytorch/pytorch,,https://pytorch.org/docs/stable/index.html,['pytorch'],66177.0,59495.0,https://pypi.org/project/torch,2020-12-10 16:22:02.000000,6682.0,1546110.0,1804367.0,https://anaconda.org/pytorch/pytorch,2020-12-10 16:11:32.801000,9813795.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n10,Pillow,python-pillow/Pillow,,image,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000000,2021-01-21 12:32:43.000000,2021-01-21 12:32:07.000000,1559,240.0,1865.0,8122,11115.0,The friendly PIL fork (Python Imaging Library).,343.0,39,True,2021-01-02 20:13:09.000000,8.1.0,77.0,Pillow,conda-forge/pillow,,,,497519.0,386093.0,https://pypi.org/project/Pillow,2021-01-02 20:11:59.000000,111426.0,12808455.0,12927516.0,https://anaconda.org/conda-forge/pillow,2021-01-11 23:44:30.126000,6786496.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n11,PySpark,apache/spark,,ml-frameworks,https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08.000000,2021-01-21 14:33:44.000000,2021-01-21 14:15:55.000000,23235,216.0,,28581,29142.0,Apache Spark Python API.,2388.0,38,True,2020-09-07 15:29:07.000000,3.0.1,21.0,pyspark,conda-forge/pyspark,,,['spark'],1306.0,546.0,https://pypi.org/project/pyspark,2020-09-07 15:29:07.000000,760.0,6259244.0,6278226.0,https://anaconda.org/conda-forge/pyspark,2020-09-07 17:29:01.440000,873187.0,,,,,1.0,,stable/spark,,,,,,,,,,,,,,,,,,,,,\n12,spaCy,explosion/spaCy,,nlp,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000000,2021-01-21 12:52:01.000000,2021-01-21 08:59:17.000000,3200,90.0,4167.0,18075,11729.0,Industrial-strength Natural Language Processing (NLP) with Python and Cython.,545.0,37,True,2020-12-11 14:45:05.000000,2.3.5,169.0,spacy,conda-forge/spacy,,,,23669.0,20603.0,https://pypi.org/project/spacy,2020-12-11 14:45:05.000000,3066.0,817926.0,847553.0,https://anaconda.org/conda-forge/spacy,2020-12-18 10:09:15.705000,1389826.0,,,,,1.0,2927.0,,,,,,,,,,,,,,,,,,,,,,\n13,Celery,celery/celery,,data-pipelines,https://github.com/celery/celery,https://github.com/celery/celery,BSD-3-Clause,2009-04-24 11:31:24.000000,2021-01-21 05:04:07.000000,2021-01-21 05:04:06.000000,3936,498.0,3923.0,16568,11502.0,Asynchronous task queue/job queue based on distributed message passing.,1079.0,37,True,2020-12-16 15:41:18.000000,5.0.5,171.0,celery,conda-forge/celery,,,,76119.0,47885.0,https://pypi.org/project/celery,2020-12-16 15:34:09.000000,28234.0,1819510.0,1825856.0,https://anaconda.org/conda-forge/celery,2020-11-11 10:39:38.599000,368111.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n14,networkx,networkx/networkx,,graph,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44.000000,2021-01-21 04:31:05.000000,2021-01-20 20:33:52.000000,2188,271.0,2291.0,8527,6389.0,Network Analysis in Python.,490.0,37,True,2020-08-22 20:10:33.000000,networkx-2.5,52.0,networkx,conda-forge/networkx,,,,85722.0,64904.0,https://pypi.org/project/networkx,2020-08-22 20:38:37.000000,20818.0,4870439.0,4927139.0,https://anaconda.org/conda-forge/networkx,2020-08-23 19:29:02.065000,2891731.0,,,,,1.0,51.0,,,,,,,,,,,,,,,,,,,,,,\n15,transformers,huggingface/transformers,,nlp,https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000000,2021-01-21 14:34:04.000000,2021-01-21 13:31:51.000000,9690,507.0,5219.0,39711,6368.0,Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.,758.0,36,True,2021-01-21 08:14:39.000000,4.2.2,47.0,transformers,conda-forge/transformers,,,\"['pytorch', 'tensorflow']\",7195.0,7067.0,https://pypi.org/project/transformers,2021-01-21 08:11:31.000000,128.0,631099.0,632187.0,https://anaconda.org/conda-forge/transformers,2021-01-21 12:14:11.802000,15619.0,,,,,1.0,1243.0,,,,,,,,,,,,,,,,,,,,,,\n16,Faker,joke2k/faker,,data-loading,https://github.com/joke2k/faker,https://github.com/joke2k/faker,MIT,2012-11-12 23:00:09.000000,2021-01-21 15:46:22.000000,2021-01-21 15:46:21.000000,1365,134.0,349.0,11994,2539.0,Faker is a Python package that generates fake data for you.,385.0,36,True,2021-01-20 16:02:22.000000,5.6.5,115.0,Faker,conda-forge/faker,,,,27359.0,22647.0,https://pypi.org/project/Faker,2021-01-20 16:02:04.000000,4712.0,1726008.0,1733910.0,https://anaconda.org/conda-forge/faker,2021-01-20 17:44:24.093000,363528.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n17,torchvision,pytorch/vision,,image,https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000000,2021-01-21 12:32:21.000000,2021-01-21 09:40:58.000000,4251,441.0,1069.0,8198,1420.0,\"Datasets, Transforms and Models specific to Computer Vision.\",354.0,36,True,2020-12-10 17:10:41.000000,0.8.2,21.0,torchvision,conda-forge/torchvision,,,['pytorch'],44145.0,39533.0,https://pypi.org/project/torchvision,2020-12-10 16:27:20.000000,4612.0,637442.0,638363.0,https://anaconda.org/conda-forge/torchvision,2018-10-14 22:06:28.203000,34108.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n18,SymPy,sympy/sympy,,others,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000000,2021-01-21 11:49:29.000000,2021-01-21 05:07:16.000000,3209,3953.0,7093.0,7755,45863.0,A computer algebra system written in pure Python.,1034.0,36,True,2020-12-12 23:23:00.000000,1.7.1,36.0,sympy,conda-forge/sympy,,,,34648.0,28226.0,https://pypi.org/project/sympy,2020-12-12 23:23:00.000000,6422.0,499710.0,526625.0,https://anaconda.org/conda-forge/sympy,2021-01-08 20:38:32.429000,1250303.0,,,,,1.0,413059.0,,,,,,,,,,,,,,,,,,,,,,\n19,StatsModels,statsmodels/statsmodels,,ml-frameworks,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000000,2021-01-21 04:18:20.000000,2021-01-20 21:39:05.000000,2145,2063.0,2242.0,5933,13546.0,Statsmodels: statistical modeling and econometrics in Python.,298.0,36,True,2020-10-29 16:36:43.000000,0.12.1,24.0,statsmodels,conda-forge/statsmodels,,,,42689.0,36033.0,https://pypi.org/project/statsmodels,2020-10-29 16:36:43.000000,6656.0,1761938.0,1819708.0,https://anaconda.org/conda-forge/statsmodels,2021-01-12 04:40:51.933000,3177375.0,,,,,1.0,25.0,,,,,,,,,,,,,,,,,,,,,,\n20,Tensorboard,tensorflow/tensorboard,,ml-experiments,https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000000,2021-01-21 14:59:25.000000,2021-01-21 04:29:50.000000,1344,550.0,912.0,5128,4203.0,TensorFlow's Visualization Toolkit.,250.0,36,True,2021-01-14 20:44:05.000000,2.4.1,36.0,tensorboard,conda-forge/tensorboard,,,['tensorflow'],55422.0,51808.0,https://pypi.org/project/tensorboard,2020-11-12 03:15:33.000000,3614.0,4748729.0,4789551.0,https://anaconda.org/conda-forge/tensorboard,2021-01-15 08:30:57.960000,1551236.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n21,scikit-image,scikit-image/scikit-image,,image,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,BSD-2-Clause,2011-07-07 22:07:20.000000,2021-01-21 13:28:18.000000,2021-01-21 08:03:41.000000,1727,661.0,1476.0,4143,12465.0,Image processing in Python.,477.0,36,True,2021-01-19 08:17:34.000000,0.18.1,35.0,scikit-image,conda-forge/scikit-image,,,,73716.0,58942.0,https://pypi.org/project/scikit-image,2020-12-23 06:36:46.000000,14774.0,1656533.0,1693521.0,https://anaconda.org/conda-forge/scikit-image,2020-12-23 15:59:08.642000,2071337.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n22,h5py,h5py/h5py,,data-containers,https://github.com/h5py/h5py,https://github.com/h5py/h5py,BSD-3-Clause,2012-09-21 00:40:02.000000,2021-01-19 08:42:21.000000,2021-01-19 08:39:24.000000,393,182.0,944.0,1474,3510.0,HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.,159.0,36,True,2020-11-06 14:30:54.000000,3.1.0,25.0,h5py,conda-forge/h5py,,,,122236.0,99300.0,https://pypi.org/project/h5py,2020-11-06 14:30:54.000000,22936.0,4669213.0,4746065.0,https://anaconda.org/conda-forge/h5py,2021-01-01 10:48:16.133000,4456453.0,,,,,1.0,785.0,,,,,,,,,,,,,,,,,,,,,,\n23,Keras,keras-team/keras,,ml-frameworks,https://github.com/keras-team/keras,https://github.com/keras-team/keras,MIT,2015-03-28 00:35:42.000000,2021-01-21 14:40:58.000000,2021-01-20 22:28:51.000000,18697,3169.0,7227.0,50546,5372.0,Deep Learning for humans.,895.0,35,True,2020-06-24 22:40:48.000000,2.4.3,53.0,keras,conda-forge/keras,,https://keras.io,['tensorflow'],14996.0,,https://pypi.org/project/keras,2020-06-24 22:40:48.000000,14996.0,1649310.0,1675795.0,https://anaconda.org/conda-forge/keras,2020-06-25 19:13:34.254000,1403747.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n24,OpenAI Gym,openai/gym,,reinforcement-learning,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16.000000,2021-01-14 15:25:07.000000,2021-01-11 17:58:46.000000,6624,241.0,1063.0,23259,1241.0,A toolkit for developing and comparing reinforcement learning algorithms.,272.0,35,True,2020-12-19 00:29:36.000000,0.18.0,92.0,gym,,,,,20895.0,17333.0,https://pypi.org/project/gym,2020-12-19 00:29:36.000000,3562.0,275346.0,275346.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n25,XGBoost,dmlc/xgboost,,ml-frameworks,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000000,2021-01-21 13:15:44.000000,2021-01-21 13:15:43.000000,7862,250.0,3650.0,20441,5194.0,\"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..\",501.0,35,True,2021-01-20 13:52:38.000000,1.3.3,53.0,xgboost,conda-forge/xgboost,,https://xgboost.readthedocs.io/en/latest/,,14712.0,13120.0,https://pypi.org/project/xgboost,2021-01-20 13:39:06.000000,1592.0,2291027.0,2319596.0,https://anaconda.org/conda-forge/xgboost,2020-12-10 13:41:20.626000,1313117.0,,,,,1.0,1900.0,,,,,,,,,,,,,,,,,,,,,,\n26,Airflow,apache/airflow,,data-pipelines,https://github.com/apache/airflow,https://github.com/apache/airflow,Apache-2.0,2015-04-13 18:04:58.000000,2021-01-21 15:42:20.000000,2021-01-21 15:42:19.000000,7764,979.0,1872.0,20346,11461.0,\"Platform to programmatically author, schedule, and monitor workflows.\",1714.0,35,True,2020-12-18 13:21:47.000000,2.0.0,67.0,apache-airflow,conda-forge/airflow,apache/airflow,,,294.0,,https://pypi.org/project/apache-airflow,2020-12-14 17:07:53.000000,294.0,507810.0,588245.0,https://anaconda.org/conda-forge/airflow,2020-11-26 16:17:26.980000,264377.0,https://hub.docker.com/r/apache/airflow,2021-01-21 04:14:59.556210,203.0,5051819.0,1.0,78868.0,stable/airflow,,,,,,,,,,,,,,,,,,,,,\n27,LightGBM,microsoft/LightGBM,,ml-frameworks,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000000,2021-01-21 13:11:19.000000,2021-01-21 02:33:44.000000,3176,92.0,1965.0,12087,2232.0,\"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..\",197.0,35,True,2020-12-08 03:00:35.000000,3.1.1,24.0,lightgbm,conda-forge/lightgbm,,,,5903.0,5347.0,https://pypi.org/project/lightgbm,2020-12-08 03:00:35.000000,556.0,1251619.0,1264711.0,https://anaconda.org/conda-forge/lightgbm,2021-01-15 08:38:34.182000,468855.0,,,,,1.0,86829.0,,,,,,,,,,,,,,,,,,,,,,\n28,gensim,RaRe-Technologies/gensim,,nlp,https://github.com/RaRe-Technologies/gensim,https://github.com/RaRe-Technologies/gensim,LGPL-2.1,2011-02-10 07:43:04.000000,2021-01-20 06:57:37.000000,2021-01-17 09:11:30.000000,3895,353.0,1247.0,11621,3849.0,Topic Modelling for Humans.,385.0,35,False,2020-05-04 05:55:15.000000,3.8.3,83.0,gensim,conda-forge/gensim,,,,24946.0,20204.0,https://pypi.org/project/gensim,2020-11-15 12:53:37.000000,4742.0,6700341.0,6715113.0,https://anaconda.org/conda-forge/gensim,2020-05-14 08:28:35.604000,589032.0,,,,,1.0,2949.0,,,,,,,,,,,,,,,,,,,,,,\n29,Plotly,plotly/plotly.py,,data-viz,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000000,2021-01-21 14:43:24.000000,2021-01-14 02:04:12.000000,1732,783.0,1046.0,8692,4923.0,The interactive graphing library for Python (includes Plotly Express).,162.0,35,True,2021-01-12 17:01:21.000000,4.14.3,265.0,plotly,conda-forge/plotly,,,,4991.0,5.0,https://pypi.org/project/plotly,2021-01-12 16:12:40.000000,4982.0,2415336.0,2532213.0,https://anaconda.org/conda-forge/plotly,2021-01-12 17:11:42.117000,1162646.0,,,,,1.0,,,plotlywidget,https://www.npmjs.com/package/plotlywidget,2021-01-12 16:09:46.133000,4.0,94941.0,,,,,,,,,,,,,,,,\n30,Seaborn,mwaskom/seaborn,,data-viz,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000000,2021-01-21 14:47:16.000000,2021-01-19 21:59:36.000000,1366,87.0,1666.0,8013,2742.0,Statistical data visualization using matplotlib.,147.0,35,True,2020-12-20 20:53:25.000000,0.11.1,23.0,seaborn,conda-forge/seaborn,,,,90910.0,78124.0,https://pypi.org/project/seaborn,2020-12-20 20:53:25.000000,12786.0,1644072.0,1679750.0,https://anaconda.org/conda-forge/seaborn,2020-12-21 10:06:33.576000,1890901.0,,,,,1.0,118.0,,,,,,,,,,,,,,,,,,,,,,\n31,dask,dask/dask,,distributed-ml,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000000,2021-01-21 15:01:03.000000,2021-01-20 22:35:54.000000,1206,701.0,2800.0,7789,6293.0,Parallel computing with task scheduling.,422.0,35,True,2021-01-15 21:25:29.000000,2021.1.0,110.0,dask,conda-forge/dask,,,,28562.0,24646.0,https://pypi.org/project/dask,2021-01-15 21:25:29.000000,3916.0,1188128.0,1239050.0,https://anaconda.org/conda-forge/dask,2021-01-16 03:43:53.371000,2851673.0,,,,,1.0,,stable/dask,,,,,,,,,,,,,,,,,,,,,\n32,Arrow,apache/arrow,,data-containers,https://github.com/apache/arrow,https://github.com/apache/arrow,Apache-2.0,2016-02-17 08:00:23.000000,2021-01-21 14:39:33.000000,2021-01-21 14:39:29.000000,1731,122.0,546.0,6922,8395.0,Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-..,617.0,35,True,2020-10-19 21:15:12.000000,2.0.0,29.0,pyarrow,conda-forge/arrow,,,,1015.0,29.0,https://pypi.org/project/pyarrow,2020-10-19 21:15:12.000000,986.0,12942098.0,12950190.0,https://anaconda.org/conda-forge/arrow,2021-01-12 20:46:01.093000,453191.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n33,joblib,joblib/joblib,,data-pipelines,https://github.com/joblib/joblib,https://github.com/joblib/joblib,BSD-3-Clause,2010-05-07 06:48:26.000000,2021-01-12 11:48:34.000000,2020-12-28 10:07:59.000000,286,291.0,350.0,2317,1365.0,Computing with Python functions.,98.0,35,True,2020-12-14 14:21:00.000000,1.0.0,99.0,joblib,conda-forge/joblib,,,,84317.0,77707.0,https://pypi.org/project/joblib,2020-12-14 14:21:00.000000,6610.0,14720740.0,14774195.0,https://anaconda.org/conda-forge/joblib,2020-12-14 14:36:22.998000,2886619.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n34,MXNet,apache/incubator-mxnet,,ml-frameworks,https://github.com/apache/incubator-mxnet,https://github.com/apache/incubator-mxnet,Apache-2.0,2015-04-30 16:21:15.000000,2021-01-21 11:40:07.000000,2021-01-20 22:37:51.000000,6808,1822.0,7545.0,19231,11503.0,\"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..\",948.0,34,True,2020-08-28 05:08:24.000000,1.7.0,976.0,mxnet,mxnet,,,['mxnet'],2187.0,1743.0,https://pypi.org/project/mxnet,2020-08-28 06:18:15.000000,444.0,135075.0,135645.0,https://anaconda.org/anaconda/mxnet,2020-02-29 00:58:31.007000,5696.0,,,,,2.0,23376.0,,,,,,,0.0,,,,,,,,,,,,,,,\n35,dash,plotly/dash,,data-viz,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000000,2021-01-20 23:46:02.000000,2021-01-20 23:05:35.000000,1401,401.0,554.0,13756,3543.0,\"Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.\",72.0,34,True,2021-01-20 00:00:50.000000,1.19.0,137.0,dash,conda-forge/dash,,,,18272.0,16664.0,https://pypi.org/project/dash,2021-01-19 23:50:28.000000,1608.0,206565.0,213073.0,https://anaconda.org/conda-forge/dash,2020-12-11 15:37:58.126000,208269.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n36,nltk,nltk/nltk,,nlp,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58.000000,2021-01-12 19:15:53.000000,2021-01-02 00:33:13.000000,2397,243.0,1222.0,9558,,Suite of libraries and programs for symbolic and statistical natural language processing for English.,386.0,34,True,2019-08-20 10:55:21.000000,3.4.5,39.0,nltk,conda-forge/nltk,,,,107575.0,86583.0,https://pypi.org/project/nltk,2020-04-12 23:46:10.000000,20992.0,4545300.0,4556921.0,https://anaconda.org/conda-forge/nltk,2019-08-08 17:07:46.504000,615926.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n37,Theano,Theano/Theano,,ml-frameworks,https://github.com/Theano/Theano,https://github.com/Theano/Theano,BSD-3-Clause,2011-08-10 03:48:06.000000,2020-11-01 11:19:03.292000,2020-09-05 10:39:50.000000,2501,674.0,2081.0,9326,28123.0,\"Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-..\",382.0,34,True,2020-07-27 16:13:54.000000,1.0.5,45.0,theano,conda-forge/theano,,,,15518.0,10044.0,https://pypi.org/project/theano,2020-07-27 16:13:54.000000,5474.0,180371.0,203875.0,https://anaconda.org/conda-forge/theano,2020-11-01 11:19:03.292000,1269267.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n38,mlflow,mlflow/mlflow,,ml-experiments,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000000,2021-01-21 13:54:42.000000,2021-01-20 01:55:57.000000,1863,675.0,1034.0,8216,1857.0,Open source platform for the machine learning lifecycle.,276.0,34,True,2020-12-31 09:17:41.000000,1.13.1,40.0,mlflow,conda-forge/mlflow,,,,1974.0,1820.0,https://pypi.org/project/mlflow,2020-12-31 08:55:08.000000,154.0,2325100.0,2334713.0,https://anaconda.org/conda-forge/mlflow,2021-01-11 17:08:19.258000,201877.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n39,dask.distributed,dask/distributed,,distributed-ml,https://github.com/dask/distributed,https://github.com/dask/distributed,BSD-3-Clause,2015-09-13 18:42:29.000000,2021-01-21 01:40:22.000000,2021-01-20 17:32:27.000000,506,713.0,1256.0,1135,3773.0,A distributed task scheduler for Dask.,226.0,34,True,2020-12-11 02:10:35.000000,2021.1.0,141.0,distributed,conda-forge/distributed,,,,18037.0,16259.0,https://pypi.org/project/distributed,2021-01-15 21:36:03.000000,1778.0,721062.0,784365.0,https://anaconda.org/conda-forge/distributed,2021-01-18 10:40:02.269000,3545008.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n40,PyFlink,apache/flink,,ml-frameworks,https://github.com/apache/flink,https://github.com/apache/flink,Apache-2.0,2014-06-07 07:00:10.000000,2021-01-21 14:47:12.000000,2021-01-21 10:48:34.000000,8281,460.0,,15306,25405.0,Apache Flink Python API.,1181.0,33,True,2021-01-15 01:51:44.000000,1.12.1,12.0,apache-flink,,,,,242.0,242.0,https://pypi.org/project/apache-flink,2021-01-15 01:51:44.000000,0.0,2487.0,2487.0,,,,,,,,2.0,,,,,,,,,True,,,,,,,,,,,,,,\n41,Bokeh,bokeh/bokeh,,data-viz,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000000,2021-01-21 12:27:54.000000,2021-01-21 03:02:20.000000,3621,605.0,5744.0,14547,,\"Interactive Data Visualization in the browser, from Python.\",546.0,33,True,2020-10-21 02:39:03.000000,2.2.3,83.0,bokeh,conda-forge/bokeh,,,,35801.0,29929.0,https://pypi.org/project/bokeh,2021-01-19 00:27:21.000000,5872.0,984778.0,1064732.0,https://anaconda.org/conda-forge/bokeh,2021-01-13 10:22:16.472000,3597951.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n42,Ray,ray-project/ray,,distributed-ml,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000000,2021-01-21 15:36:12.000000,2021-01-21 15:36:11.000000,2310,1235.0,4554.0,14528,7001.0,\"An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged..\",420.0,33,True,2020-12-24 10:13:39.000000,1.1.0,43.0,ray,,,,,1662.0,1502.0,https://pypi.org/project/ray,2020-12-24 10:13:39.000000,160.0,147167.0,147167.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n43,luigi,spotify/luigi,,data-pipelines,https://github.com/spotify/luigi,https://github.com/spotify/luigi,Apache-2.0,2012-09-20 15:06:38.000000,2021-01-17 18:35:42.000000,2021-01-14 12:33:44.000000,2207,63.0,836.0,14139,3943.0,\"Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution,..\",551.0,33,True,2020-09-23 11:57:43.000000,3.0.2,72.0,luigi,luigi,,,,1986.0,1310.0,https://pypi.org/project/luigi,2020-09-23 11:57:12.000000,676.0,339287.0,339393.0,https://anaconda.org/anaconda/luigi,2020-07-21 19:50:10.849000,6260.0,,,,,1.0,,stable/luigi,,,,,,,,,,,,,,,,,,,,,\n44,pytorch-lightning,PyTorchLightning/pytorch-lightning,,ml-frameworks,https://github.com/PyTorchLightning/pytorch-lightning,https://github.com/PyTorchLightning/pytorch-lightning,Apache-2.0,2019-03-31 00:45:57.000000,2021-01-21 14:32:25.000000,2021-01-21 10:18:06.000000,1330,327.0,2452.0,11541,4081.0,\"The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.\",367.0,33,True,2021-01-19 20:06:40.000000,1.1.5,146.0,pytorch-lightning,conda-forge/pytorch-lightning,,,['pytorch'],1713.0,1699.0,https://pypi.org/project/pytorch-lightning,2021-01-12 20:45:54.000000,14.0,90913.0,93021.0,https://anaconda.org/conda-forge/pytorch-lightning,2021-01-12 23:11:01.475000,14748.0,,,,,2.0,39.0,,,,,,,,,,,,,,,,,,,,,,\n45,shap,slundberg/shap,,interpretability,https://github.com/slundberg/shap,https://github.com/slundberg/shap,MIT,2016-11-22 19:17:08.000000,2021-01-21 13:57:34.000000,2021-01-15 17:47:40.000000,1647,907.0,498.0,11470,1775.0,A game theoretic approach to explain the output of any machine learning model.,142.0,33,True,2021-01-15 18:02:54.000000,0.38.1,92.0,shap,conda-forge/shap,,,,2028.0,1892.0,https://pypi.org/project/shap,2020-11-04 21:38:32.000000,136.0,758245.0,770721.0,https://anaconda.org/conda-forge/shap,2020-12-16 19:26:39.477000,361804.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n46,dlib,davisking/dlib,,ml-frameworks,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000000,2021-01-20 09:08:34.000000,2021-01-18 13:58:30.000000,2832,46.0,1810.0,9822,7910.0,A toolkit for making real world machine learning and data analysis applications in C++.,164.0,33,False,2020-12-04 19:23:04.000000,19.21.1,28.0,dlib,conda-forge/dlib,,,,9384.0,8026.0,https://pypi.org/project/dlib,2020-12-04 19:23:04.000000,1358.0,59662.0,65048.0,https://anaconda.org/conda-forge/dlib,2021-01-14 21:24:20.585000,261252.0,,,,,2.0,24312.0,,,,,,,,,,,,,,,,,,,,,,\n47,onnx,onnx/onnx,,model-serialisation,https://github.com/onnx/onnx,https://github.com/onnx/onnx,Apache-2.0,2017-09-07 04:53:45.000000,2021-01-21 15:35:04.000000,2021-01-19 20:30:25.000000,1769,509.0,927.0,9654,1665.0,Open standard for machine learning interoperability.,191.0,33,True,2020-11-07 00:55:30.000000,1.8.0,19.0,onnx,conda-forge/onnx,,,,2711.0,2415.0,https://pypi.org/project/onnx,2020-11-06 22:46:10.000000,296.0,298334.0,303363.0,https://anaconda.org/conda-forge/onnx,2021-01-13 07:24:33.224000,181427.0,,,,,1.0,9977.0,,,,,,,,,,,,,,,,,,,,,,\n48,pydeck,visgl/deck.gl,,geospatial-data,https://github.com/visgl/deck.gl,https://github.com/visgl/deck.gl,MIT,2015-12-15 08:38:29.000000,2021-01-21 12:11:51.000000,2021-01-20 23:06:19.000000,1492,104.0,1943.0,8347,3491.0,WebGL2 powered geospatial visualization layers.,150.0,33,True,2021-01-13 17:50:12.453000,8.3.14,441.0,pydeck,conda-forge/pydeck,,,['jupyter'],1941.0,1379.0,https://pypi.org/project/pydeck,2020-10-26 06:55:35.000000,2.0,99495.0,235513.0,https://anaconda.org/conda-forge/pydeck,2020-10-26 12:26:44.805000,12011.0,,,,,1.0,,,deck.gl,https://www.npmjs.com/package/deck.gl,2021-01-11 00:20:01.484000,560.0,134927.0,,True,,,,,,,,,,,,,,\n49,rq,rq/rq,,data-pipelines,https://github.com/rq/rq,https://github.com/rq/rq,BSD-3-Clause,2011-11-14 10:53:48.000000,2021-01-21 03:04:22.000000,2021-01-19 01:23:09.000000,1192,139.0,670.0,7483,1550.0,Simple job queues for Python.,223.0,33,True,2020-11-29 09:48:18.000000,1.7.0,63.0,rq,conda-forge/rq,,,,10451.0,7127.0,https://pypi.org/project/rq,2020-11-29 09:47:08.000000,3324.0,208619.0,209417.0,https://anaconda.org/conda-forge/rq,2020-11-29 15:11:15.371000,43106.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n50,geopy,geopy/geopy,,geospatial-data,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000000,2021-01-15 21:49:19.000000,2020-12-27 16:15:28.000000,535,25.0,212.0,3183,1004.0,Geocoding library for Python.,117.0,33,True,2020-12-27 13:15:23.000000,2.1.0,57.0,geopy,conda-forge/geopy,,,,22997.0,15753.0,https://pypi.org/project/geopy,2020-12-27 13:12:21.000000,7244.0,3827699.0,3836315.0,https://anaconda.org/conda-forge/geopy,2020-12-27 14:22:55.127000,499749.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n51,Shapely,Toblerity/Shapely,,geospatial-data,https://github.com/Toblerity/Shapely,https://github.com/Toblerity/Shapely,BSD-3-Clause,2011-12-31 19:43:11.000000,2021-01-15 13:05:12.000000,2020-12-15 22:43:38.000000,370,136.0,569.0,2116,1481.0,Manipulation and analysis of geometric objects.,104.0,33,True,2020-08-20 23:31:01.000000,1.7.1,99.0,shapely,conda-forge/shapely,,,,21119.0,15661.0,https://pypi.org/project/shapely,2020-08-20 23:31:01.000000,5458.0,1854610.0,1886053.0,https://anaconda.org/conda-forge/shapely,2020-10-13 00:26:59.387000,1980966.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n52,xlrd,python-excel/xlrd,,data-loading,https://github.com/python-excel/xlrd,https://github.com/python-excel/xlrd,BSD-3-Clause,2012-03-07 04:50:48.000000,2021-01-09 20:35:27.639000,2020-12-12 15:24:25.000000,406,3.0,,1850,502.0,Please use openpyxl where you can...,50.0,33,True,2020-12-11 10:14:20.000000,2.0.1,24.0,xlrd,conda-forge/xlrd,,,,75597.0,62023.0,https://pypi.org/project/xlrd,2020-12-11 10:14:20.000000,13574.0,4837702.0,4862874.0,https://anaconda.org/conda-forge/xlrd,2021-01-09 20:35:27.639000,1157918.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n53,Fastai,fastai/fastai,,ml-frameworks,https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000000,2021-01-21 14:26:27.000000,2021-01-20 17:16:40.000000,6903,64.0,1303.0,20309,1649.0,The fastai deep learning library.,472.0,32,True,2021-01-13 19:38:43.000000,2.2.5,116.0,fastai,,,,['pytorch'],368.0,,https://pypi.org/project/fastai,2021-01-13 19:38:43.000000,368.0,131828.0,131828.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n54,jax,google/jax,,ml-frameworks,https://github.com/google/jax,https://github.com/google/jax,Apache-2.0,2018-10-25 21:25:02.000000,2021-01-21 14:09:27.000000,2021-01-21 09:15:25.000000,946,714.0,1378.0,11124,6648.0,\"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.\",245.0,32,True,2021-01-12 17:00:28.000000,0.2.8,87.0,jax,conda-forge/jaxlib,,,,1052.0,1006.0,https://pypi.org/project/jax,2021-01-12 17:00:28.000000,46.0,63672.0,67526.0,https://anaconda.org/conda-forge/jaxlib,2021-01-18 19:48:22.594000,69376.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n55,tensor2tensor,tensorflow/tensor2tensor,,tensorflow-utils,https://github.com/tensorflow/tensor2tensor,https://github.com/tensorflow/tensor2tensor,Apache-2.0,2017-06-15 16:57:39.000000,2020-12-15 01:23:04.000000,2020-11-16 14:28:10.000000,2711,546.0,663.0,10827,4345.0,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,230.0,32,True,2020-06-17 16:15:36.000000,1.15.7,79.0,tensor2tensor,,,,['tensorflow'],970.0,888.0,https://pypi.org/project/tensor2tensor,2020-06-17 16:15:36.000000,82.0,75471.0,75471.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n56,Rasa,RasaHQ/rasa,,nlp,https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49.000000,2021-01-21 14:42:06.000000,2021-01-21 09:46:44.000000,3223,564.0,4349.0,10565,24267.0,\"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..\",456.0,32,True,2021-01-12 22:16:23.000000,2.2.5,177.0,rasa,,,,['tensorflow'],64.0,,https://pypi.org/project/rasa,2021-01-12 22:16:11.000000,64.0,67971.0,67971.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n57,PyMC3,pymc-devs/pymc3,,probabilistics,https://github.com/pymc-devs/pymc3,https://github.com/pymc-devs/pymc3,Apache-2.0,2009-05-05 09:43:50.000000,2021-01-21 11:06:24.000000,2021-01-21 08:20:27.000000,1316,150.0,1981.0,5495,7649.0,Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano.,304.0,32,True,2021-01-21 08:36:54.000000,3.11.0,31.0,pymc3,conda-forge/pymc3,,,,2258.0,1972.0,https://pypi.org/project/pymc3,2021-01-21 08:37:19.000000,286.0,109625.0,114346.0,https://anaconda.org/conda-forge/pymc3,2020-12-07 20:54:14.048000,240767.0,,,,,1.0,145.0,,,,,,,,,,,,,,,,,,,,,,\n58,folium,python-visualization/folium,,geospatial-data,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000000,2021-01-18 18:15:18.000000,2021-01-18 17:35:27.000000,1899,148.0,685.0,5094,1473.0,Python Data. Leaflet.js Maps.,120.0,32,True,2021-01-18 17:29:40.000000,0.12.1,25.0,folium,conda-forge/folium,,,,9092.0,8124.0,https://pypi.org/project/folium,2021-01-18 17:29:40.000000,968.0,197986.0,203424.0,https://anaconda.org/conda-forge/folium,2021-01-06 21:06:10.173000,315433.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n59,Beam,apache/beam,,data-pipelines,https://github.com/apache/beam,https://github.com/apache/beam,Apache-2.0,2016-02-02 08:00:06.000000,2021-01-21 14:16:28.000000,2021-01-20 23:12:52.000000,2817,124.0,,4527,30281.0,\"Unified programming model to define and execute data processing pipelines, including ETL, batch and stream processing.\",1000.0,32,True,2021-01-08 20:56:28.000000,2.27.0,30.0,apache-beam,,,,,186.0,,https://pypi.org/project/apache-beam,2021-01-08 20:08:17.000000,186.0,1345219.0,1345219.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n60,xmltodict,martinblech/xmltodict,,data-loading,https://github.com/martinblech/xmltodict,https://github.com/martinblech/xmltodict,MIT,2012-04-17 14:38:21.000000,2020-11-05 01:54:38.000000,2020-04-26 05:15:03.000000,397,63.0,134.0,4242,205.0,Python module that makes working with XML feel like you are working with JSON.,41.0,32,True,2019-02-11 07:00:26.000000,0.12.0,27.0,xmltodict,conda-forge/xmltodict,,,,28693.0,20459.0,https://pypi.org/project/xmltodict,2019-02-11 07:00:26.000000,8234.0,3660667.0,3672246.0,https://anaconda.org/conda-forge/xmltodict,2019-02-11 11:53:14.803000,613720.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n61,Tablib,jazzband/tablib,,data-loading,https://github.com/jazzband/tablib,https://github.com/jazzband/tablib,MIT,2011-03-28 02:36:50.000000,2020-12-13 06:03:08.000000,2020-12-11 07:22:54.000000,560,34.0,197.0,3844,1123.0,\"Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c.\",110.0,32,True,2020-12-05 14:56:28.000000,3.0.0,38.0,tablib,conda-forge/tablib,,,,11479.0,9121.0,https://pypi.org/project/tablib,2020-12-05 14:56:28.000000,2358.0,502243.0,503361.0,https://anaconda.org/conda-forge/tablib,2020-12-05 16:40:48.469000,55939.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n62,tensorflow-hub,tensorflow/hub,,tensorflow-utils,https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42.000000,2021-01-19 14:51:56.000000,2021-01-19 14:51:51.000000,1438,45.0,498.0,2686,824.0,A library for transfer learning by reusing parts of TensorFlow models.,67.0,32,True,2021-01-06 16:20:30.000000,0.11.0,14.0,tensorflow-hub,conda-forge/tensorflow-hub,,,['tensorflow'],5393.0,5079.0,https://pypi.org/project/tensorflow-hub,2021-01-06 16:20:30.000000,314.0,727174.0,728739.0,https://anaconda.org/conda-forge/tensorflow-hub,2020-08-24 16:43:36.561000,48530.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n63,TensorFlow Datasets,tensorflow/datasets,,data-loading,https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000000,2021-01-21 13:49:40.000000,2021-01-20 23:21:14.000000,945,391.0,527.0,2632,3707.0,\"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...\",181.0,32,True,2021-01-07 09:50:58.000000,4.2.0,21.0,tensorflow-datasets,,,,['tensorflow'],3532.0,3430.0,https://pypi.org/project/tensorflow-datasets,2021-01-07 09:50:58.000000,102.0,513065.0,513065.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n64,Thinc,explosion/thinc,,ml-frameworks,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59.000000,2021-01-21 14:03:22.000000,2021-01-21 11:38:57.000000,198,17.0,86.0,2156,4895.0,\"A refreshing functional take on deep learning, compatible with your favorite libraries.\",36.0,32,True,2020-12-11 09:45:43.000000,7.4.5,186.0,thinc,conda-forge/thinc,,,,11852.0,10714.0,https://pypi.org/project/thinc,2021-01-21 06:26:35.000000,1138.0,771496.0,789559.0,https://anaconda.org/conda-forge/thinc,2020-12-18 09:40:27.092000,848983.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n65,xarray,pydata/xarray,,data-containers,https://github.com/pydata/xarray,https://github.com/pydata/xarray,Apache-2.0,2013-09-30 17:21:10.000000,2021-01-21 12:38:58.000000,2021-01-21 07:24:04.000000,625,785.0,1882.0,1903,3486.0,N-D labeled arrays and datasets in Python.,288.0,32,True,2020-11-30 21:28:55.000000,0.16.2,55.0,xarray,conda-forge/xarray,,,,6064.0,4932.0,https://pypi.org/project/xarray,2020-11-30 21:26:20.000000,1132.0,258188.0,298032.0,https://anaconda.org/conda-forge/xarray,2020-12-01 04:59:09.242000,2310952.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n66,jieba,fxsjy/jieba,,chinese-nlp,https://github.com/fxsjy/jieba,https://github.com/fxsjy/jieba,MIT,2012-09-29 07:52:01.000000,2020-12-05 18:32:32.000000,2020-02-15 08:33:35.000000,6065,592.0,196.0,25317,523.0,Chinese Words Segmentation Utilities.,48.0,31,True,2020-01-20 14:27:23.000000,0.42.1,32.0,jieba,conda-forge/jieba,,,,11576.0,9060.0,https://pypi.org/project/jieba,2020-01-20 14:27:23.000000,2516.0,142061.0,143505.0,https://anaconda.org/conda-forge/jieba,2020-03-25 20:57:40.090000,65000.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n67,DeepSpeech,mozilla/DeepSpeech,,audio,https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53.000000,2021-01-20 22:38:19.000000,2021-01-20 22:38:18.000000,3020,96.0,1831.0,16348,3342.0,\"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..\",153.0,31,True,2020-12-10 17:22:09.000000,0.9.3,100.0,deepspeech,,,,['tensorflow'],413.0,384.0,https://pypi.org/project/deepspeech,2020-12-19 10:05:12.000000,29.0,11155.0,25732.0,,,,,,,,1.0,408158.0,,,,,,,,,,,,,,,,,,,,,,\n68,fairseq,pytorch/fairseq,,nlp,https://github.com/pytorch/fairseq,https://github.com/pytorch/fairseq,MIT,2017-08-29 16:26:12.000000,2021-01-21 05:59:20.000000,2021-01-21 04:42:42.000000,2789,616.0,1755.0,11021,1719.0,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,286.0,31,True,2021-01-05 20:26:45.000000,0.10.2,13.0,fairseq,,,,['pytorch'],292.0,272.0,https://pypi.org/project/fairseq,2021-01-05 20:26:45.000000,20.0,8214.0,8215.0,,,,,,,,1.0,57.0,,,,,,,,,,,,,,,,,,,,,,\n69,ChatterBot,gunthercox/ChatterBot,,nlp,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00.000000,2021-01-03 01:13:36.000000,2020-08-20 21:16:14.000000,3659,219.0,1222.0,10748,1847.0,\"ChatterBot is a machine learning, conversational dialog engine for creating chat bots.\",103.0,31,True,2020-08-22 18:42:43.000000,1.0.8,86.0,chatterbot,,,,,3772.0,3092.0,https://pypi.org/project/chatterbot,2020-08-22 18:40:36.000000,680.0,23034.0,23034.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n70,imgaug,aleju/imgaug,,image,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33.000000,2020-10-19 12:23:22.000000,2020-06-01 14:58:26.000000,1954,213.0,203.0,10578,2913.0,Image augmentation for machine learning experiments.,36.0,31,True,2020-02-06 06:18:40.000000,0.4.0,11.0,imgaug,conda-forge/imgaug,,,,5367.0,5089.0,https://pypi.org/project/imgaug,2020-02-05 20:54:22.000000,278.0,115515.0,117171.0,https://anaconda.org/conda-forge/imgaug,2020-02-14 16:06:53.525000,31473.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n71,pyecharts,pyecharts/pyecharts,,data-viz,https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000000,2021-01-19 10:14:14.000000,2021-01-19 10:14:13.000000,2328,23.0,1336.0,10412,1512.0,Python Echarts Plotting Library.,30.0,31,True,2020-10-29 15:14:08.000000,1.9.0,66.0,pyecharts,,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,['jupyter'],1725.0,1443.0,https://pypi.org/project/pyecharts,2020-10-29 15:14:08.000000,282.0,28108.0,28108.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n72,wordcloud,amueller/word_cloud,,data-viz,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59.000000,2021-01-21 10:00:39.000000,2020-11-11 21:35:51.000000,2025,97.0,343.0,7815,540.0,A little word cloud generator in Python.,58.0,31,True,2020-11-11 21:41:02.000000,1.8.1,16.0,wordcloud,conda-forge/wordcloud,,,,9605.0,8501.0,https://pypi.org/project/wordcloud,2020-11-11 21:41:02.000000,1104.0,213247.0,216688.0,https://anaconda.org/conda-forge/wordcloud,2021-01-14 18:03:24.960000,182412.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n73,Altair,altair-viz/altair,,data-viz,https://github.com/altair-viz/altair,https://github.com/altair-viz/altair,BSD-3-Clause,2015-09-19 03:14:04.000000,2021-01-12 16:59:04.000000,2021-01-12 16:59:02.000000,570,287.0,1202.0,6352,3047.0,Declarative statistical visualization library for Python.,121.0,31,True,2020-04-01 13:29:16.000000,4.1.0,26.0,altair,conda-forge/altair,,,,7816.0,7446.0,https://pypi.org/project/altair,2020-04-01 13:23:10.000000,370.0,608759.0,619572.0,https://anaconda.org/conda-forge/altair,2020-04-01 16:49:36.519000,583902.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n74,Catboost,catboost/catboost,,ml-frameworks,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000000,2021-01-21 14:30:23.000000,2021-01-21 14:30:18.000000,858,299.0,1033.0,5647,14379.0,\"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..\",727.0,31,True,2020-12-27 09:12:53.000000,0.24.4,91.0,catboost,conda-forge/catboost,,,,162.0,,https://pypi.org/project/catboost,2020-12-27 06:58:33.000000,162.0,662810.0,681342.0,https://anaconda.org/conda-forge/catboost,2020-12-29 11:38:06.128000,554977.0,,,,,2.0,47597.0,,,,,,,,,,,,,,,,,,,,,,\n75,Chainer,chainer/chainer,,ml-frameworks,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37.000000,2021-01-13 10:14:54.000000,2020-12-23 09:08:19.000000,1371,16.0,2016.0,5520,30550.0,A flexible framework of neural networks for deep learning.,319.0,31,True,2021-01-13 10:14:54.000000,7.0.0.post1,109.0,chainer,,,,,2560.0,1818.0,https://pypi.org/project/chainer,2021-01-13 09:29:55.000000,742.0,17236.0,17236.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n76,sentencepiece,google/sentencepiece,,nlp,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000000,2021-01-12 17:23:26.000000,2021-01-12 17:23:24.000000,633,22.0,389.0,4736,662.0,Unsupervised text tokenizer for Neural Network-based text generation.,48.0,31,True,2021-01-10 06:29:42.000000,0.1.95,30.0,sentencepiece,conda-forge/sentencepiece,,,,5700.0,5460.0,https://pypi.org/project/sentencepiece,2021-01-10 06:29:42.000000,240.0,938130.0,942434.0,https://anaconda.org/conda-forge/sentencepiece,2021-01-08 22:01:24.349000,23817.0,,,,,1.0,9739.0,,,,,,,,,,,,,,,,,,,,,,\n77,Optuna,optuna/optuna,,hyperopt,https://github.com/optuna/optuna,https://github.com/optuna/optuna,MIT,2018-02-21 06:12:56.000000,2021-01-21 13:18:35.000000,2021-01-21 11:46:04.000000,446,190.0,467.0,3946,8792.0,A hyperparameter optimization framework.,120.0,31,True,2021-01-12 07:33:47.000000,2.4.0,34.0,optuna,conda-forge/optuna,,,,930.0,878.0,https://pypi.org/project/optuna,2020-11-04 04:29:39.000000,52.0,146879.0,148082.0,https://anaconda.org/conda-forge/optuna,2021-01-13 04:21:59.552000,16848.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n78,tensorflow-probability,tensorflow/probability,,probabilistics,https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000000,2021-01-21 09:00:08.000000,2021-01-21 09:00:03.000000,843,423.0,518.0,3209,10198.0,Probabilistic reasoning and statistical analysis in TensorFlow.,400.0,31,True,2020-12-29 18:40:25.000000,0.12.1,35.0,tensorflow-probability,conda-forge/tensorflow-probability,,,['tensorflow'],253.0,1.0,https://pypi.org/project/tensorflow-probability,2020-12-29 17:46:08.000000,252.0,301752.0,303024.0,https://anaconda.org/conda-forge/tensorflow-probability,2020-03-13 21:04:53.147000,29271.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n79,python-magic,ahupp/python-magic,,data-loading,https://github.com/ahupp/python-magic,https://github.com/ahupp/python-magic,MIT,2010-03-31 22:40:33.000000,2021-01-16 08:38:24.000000,2021-01-16 00:41:01.000000,215,27.0,126.0,1815,275.0,A python wrapper for libmagic.,49.0,31,True,2021-01-16 08:38:24.000000,0.4.20,20.0,python-magic,conda-forge/python-magic,,,,16663.0,11531.0,https://pypi.org/project/python-magic,2021-01-16 08:38:24.000000,5132.0,1301520.0,1303170.0,https://anaconda.org/conda-forge/python-magic,2020-12-24 22:42:00.639000,74259.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n80,numexpr,pydata/numexpr,,data-containers,https://github.com/pydata/numexpr,https://github.com/pydata/numexpr,MIT,2013-11-30 22:33:48.000000,2021-01-13 23:35:13.025000,2021-01-04 20:06:02.000000,161,53.0,247.0,1511,677.0,\"Fast numerical array expression evaluator for Python, NumPy, PyTables, pandas, bcolz and more.\",55.0,31,True,2020-12-29 18:58:07.000000,2.7.2,38.0,numexpr,conda-forge/numexpr,,,,5482.0,,https://pypi.org/project/numexpr,2020-01-05 17:55:57.000000,5482.0,636650.0,675891.0,https://anaconda.org/conda-forge/numexpr,2021-01-13 23:35:13.025000,2079820.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n81,MNE,mne-tools/mne-python,,medical-data,https://github.com/mne-tools/mne-python,https://github.com/mne-tools/mne-python,BSD-3-Clause,2011-01-28 03:31:13.000000,2021-01-21 15:11:10.000000,2021-01-21 15:11:09.000000,836,298.0,3081.0,1490,15708.0,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,231.0,31,True,2020-12-17 15:32:54.000000,0.22.0,50.0,mne,conda-forge/mne,,,,994.0,796.0,https://pypi.org/project/mne,2020-12-17 15:32:54.000000,198.0,16757.0,18826.0,https://anaconda.org/conda-forge/mne,2020-12-20 21:44:36.472000,97282.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n82,imageio,imageio/imageio,,image,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000000,2021-01-08 09:05:25.000000,2021-01-08 09:05:24.000000,166,65.0,271.0,822,1127.0,Python library for reading and writing image data.,71.0,31,True,2020-07-10 07:45:22.000000,2.9.0,31.0,imageio,conda-forge/imageio,,,,39016.0,35178.0,https://pypi.org/project/imageio,2020-07-06 13:20:41.000000,3838.0,1741545.0,1775393.0,https://anaconda.org/conda-forge/imageio,2020-07-06 14:13:25.518000,1624728.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n83,fastText,facebookresearch/fastText,,nlp,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000000,2021-01-15 15:28:41.000000,2020-07-18 00:20:40.000000,4299,435.0,592.0,22147,379.0,Library for fast text representation and classification.,58.0,30,True,2020-04-28 09:54:50.000000,0.9.2,35.0,fasttext,conda-forge/fasttext,,,,1631.0,1441.0,https://pypi.org/project/fasttext,2020-04-28 09:54:50.000000,190.0,107920.0,108361.0,https://anaconda.org/conda-forge/fasttext,2020-10-12 14:55:45.199000,17232.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n84,zipline,quantopian/zipline,,financial-data,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29.000000,2020-12-18 13:20:06.000000,2020-10-14 16:36:49.000000,3736,324.0,646.0,13159,6226.0,\"Zipline, a Pythonic Algorithmic Trading Library.\",151.0,30,True,2020-10-05 15:46:20.429000,1.4.1,30.0,zipline,,,,,828.0,670.0,https://pypi.org/project/zipline,2020-10-05 15:46:20.429000,158.0,4420.0,4420.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n85,Prophet,facebook/prophet,,time-series-data,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000000,2021-01-14 22:39:36.000000,2021-01-14 22:39:35.000000,3444,75.0,1428.0,12137,614.0,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,125.0,30,True,2020-09-05 16:12:50.000000,0.7.1,14.0,fbprophet,,,,,150.0,,https://pypi.org/project/fbprophet,2020-09-05 16:12:50.000000,150.0,568693.0,568704.0,,,,,,,,1.0,532.0,,,,,,,,,,,,,,,,,,,,,,\n86,horovod,horovod/horovod,,distributed-ml,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000000,2021-01-20 19:22:38.000000,2021-01-20 19:22:35.000000,1736,264.0,1401.0,10723,849.0,\"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.\",110.0,30,True,2021-01-07 00:00:40.000000,0.21.1,62.0,horovod,,,,,354.0,314.0,https://pypi.org/project/horovod,2021-01-07 00:00:40.000000,40.0,105684.0,105684.0,,,,,,,,2.0,,stable/horovod,,,,,,,,,,,,,,,,,,,,,\n87,flair,flairNLP/flair,,nlp,https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,MIT,2018-06-11 11:04:18.000000,2021-01-16 15:18:04.000000,2021-01-13 11:02:10.000000,1450,102.0,1323.0,9830,3045.0,A very simple framework for state-of-the-art Natural Language Processing (NLP).,160.0,30,True,2020-12-01 19:35:00.000000,0.7,19.0,flair,,,,['pytorch'],640.0,592.0,https://pypi.org/project/flair,2020-12-01 19:02:38.000000,48.0,38618.0,38618.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n88,TFlearn,tflearn/tflearn,,ml-frameworks,https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,MIT,2016-03-31 12:05:53.000000,2020-11-30 04:35:03.000000,2020-11-30 04:34:51.000000,2423,574.0,359.0,9507,613.0,Deep learning library featuring a higher-level API for TensorFlow.,128.0,30,True,2020-11-11 19:26:11.000000,0.5.0,8.0,tflearn,,,,['tensorflow'],3411.0,2930.0,https://pypi.org/project/tflearn,2020-11-11 19:13:47.000000,481.0,11085.0,11085.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n89,Vowpal Wabbit,VowpalWabbit/vowpal_wabbit,,ml-frameworks,https://github.com/VowpalWabbit/vowpal_wabbit,https://github.com/VowpalWabbit/vowpal_wabbit,BSD-3-Clause,2009-07-31 19:36:58.000000,2021-01-20 20:11:52.000000,2021-01-20 20:06:03.000000,1707,161.0,861.0,7407,9004.0,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,298.0,30,True,2020-11-12 14:41:09.000000,8.9.0,12.0,vowpalwabbit,,,,,110.0,94.0,https://pypi.org/project/vowpalwabbit,2020-11-12 14:41:09.000000,16.0,18762.0,18762.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n90,DVC,iterative/dvc,,ml-experiments,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000000,2021-01-21 14:38:16.000000,2021-01-21 12:28:08.000000,660,483.0,2147.0,7125,6238.0,Data Version Control | Git for Data & Models.,205.0,30,True,2021-01-21 11:09:19.000000,1.11.11,289.0,dvc,conda-forge/dvc,,,,587.0,541.0,https://pypi.org/project/dvc,2021-01-05 12:37:00.000000,46.0,46373.0,72507.0,https://anaconda.org/conda-forge/dvc,2021-01-05 15:36:19.374000,441743.0,,,,,1.0,17530.0,,,,,,,,,dvc,dvc,dvc,,,,,,,,,,,\n91,Prefect,PrefectHQ/prefect,,data-pipelines,https://github.com/PrefectHQ/prefect,https://github.com/PrefectHQ/prefect,Apache-2.0,2018-06-29 21:59:26.000000,2021-01-21 14:14:42.000000,2021-01-21 14:14:40.000000,499,218.0,1298.0,5735,13120.0,The easiest way to automate your data.,175.0,30,True,2021-01-19 21:55:23.000000,0.14.4,81.0,prefect,conda-forge/prefect,,,,241.0,239.0,https://pypi.org/project/prefect,2021-01-19 21:55:23.000000,2.0,43210.0,46203.0,https://anaconda.org/conda-forge/prefect,2021-01-20 03:39:15.063000,65849.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n92,SpeechRecognition,Uberi/speech_recognition,,audio,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54.000000,2021-01-11 17:26:33.040000,2019-07-02 17:29:47.000000,1853,201.0,269.0,5364,360.0,\"Speech recognition module for Python, supporting several engines and APIs, online and offline.\",41.0,30,False,2017-12-05 14:05:14.000000,3.8.1,52.0,SpeechRecognition,conda-forge/speechrecognition,,,,7642.0,6554.0,https://pypi.org/project/SpeechRecognition,2017-12-05 13:58:29.000000,1088.0,101197.0,102979.0,https://anaconda.org/conda-forge/speechrecognition,2021-01-11 17:26:33.040000,94464.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n93,Hyperopt,hyperopt/hyperopt,,hyperopt,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59.000000,2021-01-08 18:19:46.000000,2020-12-24 07:20:10.000000,841,328.0,220.0,5360,1168.0,Distributed Asynchronous Hyperparameter Optimization in Python.,84.0,30,True,2020-10-07 09:52:56.000000,0.2.5,11.0,hyperopt,conda-forge/hyperopt,,,,3034.0,2530.0,https://pypi.org/project/hyperopt,2020-10-07 09:52:56.000000,504.0,369602.0,375343.0,https://anaconda.org/conda-forge/hyperopt,2020-10-14 07:57:14.292000,160763.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n94,imbalanced-learn,scikit-learn-contrib/imbalanced-learn,,sklearn-utils,https://github.com/scikit-learn-contrib/imbalanced-learn,https://github.com/scikit-learn-contrib/imbalanced-learn,MIT,2014-08-16 05:08:26.000000,2020-12-23 12:15:04.000000,2020-11-03 21:43:11.000000,1059,46.0,401.0,4972,701.0,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,51.0,30,True,2020-06-09 10:45:32.000000,0.7.0,26.0,imbalanced-learn,conda-forge/imbalanced-learn,,,['sklearn'],4128.0,3848.0,https://pypi.org/project/imbalanced-learn,2020-06-09 10:39:03.000000,280.0,632098.0,634810.0,https://anaconda.org/conda-forge/imbalanced-learn,2020-06-14 14:47:57.352000,105797.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n95,CuPy,cupy/cupy,,gpu-utilities,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000000,2021-01-21 13:21:27.000000,2021-01-21 05:05:39.000000,430,366.0,873.0,4793,20377.0,A NumPy-compatible array library accelerated by CUDA.,253.0,30,True,2020-12-25 05:33:27.000000,8.3.0,85.0,cupy,conda-forge/cupy,cupy/cupy,,,829.0,637.0,https://pypi.org/project/cupy,2020-12-25 03:21:57.000000,192.0,6829.0,30656.0,https://anaconda.org/conda-forge/cupy,2021-01-21 01:36:49.914000,341234.0,https://hub.docker.com/r/cupy/cupy,2021-01-21 05:10:58.083584,6.0,47812.0,1.0,5783.0,,,,,,,,,,,,,,,,,,,,,,\n96,Tesseract,madmaze/pytesseract,,ocr,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000000,2021-01-04 17:26:55.000000,2021-01-04 17:26:51.000000,504,7.0,238.0,3382,357.0,Python-tesseract is an optical character recognition (OCR) tool for python.,36.0,30,True,2020-12-15 05:24:52.000000,0.3.7,24.0,pytesseract,conda-forge/pytesseract,,,,1428.0,,https://pypi.org/project/pytesseract,2020-12-15 05:24:52.000000,1428.0,445659.0,447781.0,https://anaconda.org/conda-forge/pytesseract,2020-11-20 10:05:14.874000,38212.0,,,,,1.0,,,,,,,,,,,,,1.0,,,,,,,,,,\n97,MLxtend,rasbt/mlxtend,,sklearn-utils,https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16.000000,2021-01-19 15:56:24.000000,2021-01-09 21:38:09.000000,694,101.0,261.0,3289,1152.0,A library of extension and helper modules for Python's data analysis and machine learning libraries.,79.0,30,True,2020-11-26 04:18:15.000000,0.18.0,46.0,mlxtend,conda-forge/mlxtend,,,['sklearn'],2571.0,2381.0,https://pypi.org/project/mlxtend,2020-11-26 04:18:15.000000,190.0,165088.0,168645.0,https://anaconda.org/conda-forge/mlxtend,2020-11-26 05:32:00.667000,149431.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n98,bqplot,bqplot/bqplot,,data-viz,https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18.000000,2021-01-21 07:38:52.000000,2021-01-14 14:18:28.000000,403,189.0,313.0,2991,3214.0,Plotting library for IPython/Jupyter notebooks.,51.0,30,True,2021-01-14 14:22:16.000000,0.12.21,89.0,bqplot,conda-forge/bqplot,,,['jupyter'],1296.0,1174.0,https://pypi.org/project/bqplot,2021-01-14 14:19:33.000000,112.0,11298.0,136190.0,https://anaconda.org/conda-forge/bqplot,2021-01-14 14:38:26.569000,458989.0,,,,,2.0,,,bqplot,https://www.npmjs.com/package/bqplot,2021-01-14 14:17:47.627000,10.0,116696.0,,,,,,,,,,,,,,,,\n99,wandb client,wandb/client,,ml-experiments,https://github.com/wandb/client,https://github.com/wandb/client,MIT,2017-03-24 05:46:23.000000,2021-01-21 07:47:16.000000,2021-01-21 00:55:00.000000,184,342.0,646.0,2649,3746.0,A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.,74.0,30,True,2021-01-16 04:00:39.000000,0.10.14,183.0,wandb,,,,,1917.0,1839.0,https://pypi.org/project/wandb,2021-01-16 03:58:29.000000,78.0,178617.0,178617.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n100,torchtext,pytorch/text,,nlp,https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000000,2021-01-21 12:38:04.000000,2021-01-15 22:43:24.000000,598,263.0,313.0,2624,704.0,Data loaders and abstractions for text and NLP.,104.0,30,True,2020-12-10 17:03:55.000000,0.8.1,12.0,torchtext,,,,['pytorch'],4271.0,3589.0,https://pypi.org/project/torchtext,2020-12-10 16:28:00.000000,682.0,76812.0,76812.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n101,mrjob,Yelp/mrjob,,data-pipelines,https://github.com/Yelp/mrjob,https://github.com/Yelp/mrjob,Apache-2.0,2010-10-13 18:35:21.000000,2020-12-24 22:44:29.424000,2020-11-16 22:20:52.000000,590,199.0,1089.0,2525,8622.0,Run MapReduce jobs on Hadoop or Amazon Web Services.,142.0,30,True,2020-09-17 22:26:01.000000,0.7.4,60.0,mrjob,conda-forge/mrjob,,,,767.0,655.0,https://pypi.org/project/mrjob,2020-09-17 22:26:01.000000,112.0,98764.0,104730.0,https://anaconda.org/conda-forge/mrjob,2020-12-24 22:44:29.424000,310275.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n102,GeoPandas,geopandas/geopandas,,geospatial-data,https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000000,2021-01-18 22:28:04.000000,2021-01-14 14:20:03.000000,528,294.0,664.0,2438,1313.0,Python tools for geographic data.,130.0,30,True,2020-07-15 17:59:00.000000,0.8.1,34.0,geopandas,conda-forge/geopandas,,,['pandas'],8129.0,6963.0,https://pypi.org/project/geopandas,2020-06-24 13:38:40.000000,1166.0,375771.0,389858.0,https://anaconda.org/conda-forge/geopandas,2020-07-16 18:56:42.068000,816219.0,,,,,2.0,845.0,,,,,,,,,,,,,,,,,,,,,,\n103,scikit-optimize,scikit-optimize/scikit-optimize,,hyperopt,https://github.com/scikit-optimize/scikit-optimize,https://github.com/scikit-optimize/scikit-optimize,BSD-3-Clause,2016-03-20 21:10:54.000000,2021-01-05 21:54:32.000000,2020-12-31 12:07:52.000000,366,165.0,354.0,2005,1541.0,Sequential model-based optimization with a `scipy.optimize` interface.,68.0,30,True,2020-09-04 09:08:10.000000,0.8.1,22.0,scikit-optimize,conda-forge/scikit-optimize,,,,1467.0,1307.0,https://pypi.org/project/scikit-optimize,2020-09-04 09:08:10.000000,160.0,433798.0,438244.0,https://anaconda.org/conda-forge/scikit-optimize,2020-09-04 09:50:52.372000,186739.0,,,,,1.0,,,,,,,,,,,,,-1.0,,,,,,,,,,\n104,smart-open,RaRe-Technologies/smart_open,,data-loading,https://github.com/RaRe-Technologies/smart_open,https://github.com/RaRe-Technologies/smart_open,MIT,2015-01-02 13:05:52.000000,2021-01-18 12:33:22.000000,2021-01-18 12:01:20.000000,271,51.0,239.0,1903,889.0,\"Utils for streaming large files (S3, HDFS, gzip, bz2...).\",72.0,30,True,2021-01-18 06:44:54.000000,4.1.2,46.0,smart-open,,,,,640.0,,https://pypi.org/project/smart-open,2021-01-18 06:44:54.000000,640.0,7448080.0,7448080.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n105,opencv-python,skvark/opencv-python,,image,https://github.com/skvark/opencv-python,https://github.com/skvark/opencv-python,MIT,2016-04-08 13:36:40.000000,2021-01-03 16:32:34.000000,2020-12-28 18:40:12.000000,306,18.0,372.0,1688,749.0,\"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..\",27.0,30,True,2021-01-03 17:36:16.000000,47,47.0,opencv-python,,,,,12560.0,,https://pypi.org/project/opencv-python,2021-01-02 12:15:05.000000,12560.0,2067575.0,2067575.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n106,Rasterio,mapbox/rasterio,,geospatial-data,https://github.com/mapbox/rasterio,https://github.com/mapbox/rasterio,BSD-3-Clause,2013-11-04 16:36:27.000000,2021-01-21 03:23:16.000000,2021-01-20 19:03:10.000000,390,135.0,1192.0,1418,3252.0,Rasterio reads and writes geospatial raster datasets.,110.0,30,True,2020-10-21 01:56:29.000000,1.1.8,120.0,rasterio,conda-forge/rasterio,,,,3475.0,2625.0,https://pypi.org/project/rasterio,2021-01-21 03:23:16.000000,850.0,118508.0,133096.0,https://anaconda.org/conda-forge/rasterio,2020-10-30 14:13:05.008000,845561.0,,,,,2.0,702.0,,,,,,,,,,,,,,,,,,,,,,\n107,SageMaker SDK,aws/sagemaker-python-sdk,,ml-experiments,https://github.com/aws/sagemaker-python-sdk,https://github.com/aws/sagemaker-python-sdk,Apache-2.0,2017-11-14 01:03:33.000000,2021-01-21 01:14:01.000000,2021-01-20 23:55:34.000000,558,207.0,518.0,1297,1813.0,A library for training and deploying machine learning models on Amazon SageMaker.,164.0,30,True,2021-01-20 17:55:55.000000,2.23.6,303.0,sagemaker,,,,\"['mxnet', 'tensorflow']\",594.0,566.0,https://pypi.org/project/sagemaker,2021-01-20 17:57:42.000000,28.0,383566.0,383566.0,,,,,,,,1.0,,,,,,,,,,,,,1.0,,,,,,,,,,\n108,TF Addons,tensorflow/addons,,tensorflow-utils,https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17.000000,2021-01-21 08:05:36.000000,2021-01-21 06:05:28.000000,415,167.0,614.0,1172,1322.0,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,145.0,30,True,2020-12-23 19:42:08.000000,0.12.0,24.0,tensorflow-addons,,,,['tensorflow'],2048.0,2030.0,https://pypi.org/project/tensorflow-addons,2020-12-23 19:42:08.000000,18.0,210744.0,210744.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n109,Wand,emcconville/wand,,image,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000000,2021-01-21 00:40:18.000000,2021-01-20 17:50:49.000000,183,13.0,319.0,1044,1679.0,The ctypes-based simple ImageMagick binding for Python.,94.0,30,True,2020-11-29 20:47:13.000000,0.6.5,47.0,wand,,,,,4282.0,3112.0,https://pypi.org/project/wand,2020-11-29 20:40:49.000000,1170.0,112164.0,112364.0,,,,,,,,2.0,5201.0,,,,,,,,,,,,,,,,,,,,,,\n110,Fiona,Toblerity/Fiona,,geospatial-data,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00.000000,2021-01-08 14:18:57.000000,2020-11-30 07:11:40.000000,165,69.0,546.0,773,1093.0,Fiona reads and writes geographic data files.,65.0,30,True,2020-11-17 18:32:17.000000,1.8.18,96.0,fiona,conda-forge/fiona,,,,6055.0,4867.0,https://pypi.org/project/fiona,2020-11-17 18:32:17.000000,1188.0,432240.0,460681.0,https://anaconda.org/conda-forge/fiona,2020-11-17 20:48:12.542000,1649633.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n111,Nilearn,nilearn/nilearn,,medical-data,https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000000,2021-01-21 10:37:40.000000,2021-01-20 11:41:35.000000,371,378.0,1084.0,694,9286.0,Machine learning for NeuroImaging in Python.,158.0,30,True,2020-11-12 11:44:49.000000,0.7.0,35.0,nilearn,conda-forge/nilearn,,,['sklearn'],1163.0,861.0,https://pypi.org/project/nilearn,2020-11-12 11:44:49.000000,302.0,7960.0,9330.0,https://anaconda.org/conda-forge/nilearn,2020-11-12 13:26:03.600000,76773.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n112,Face Recognition,ageitgey/face_recognition,,image,https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39.000000,2020-12-19 11:44:26.000000,2020-09-26 15:32:59.000000,10565,559.0,527.0,38252,211.0,The world's simplest facial recognition api for Python and the command line.,45.0,29,True,2018-08-21 18:34:21.000000,1.2.3,21.0,face_recognition,,,,['pytorch'],406.0,,https://pypi.org/project/face_recognition,2018-08-21 18:34:21.000000,406.0,27134.0,27143.0,,,,,,,,2.0,438.0,,,,,,,,,,,,,,,,,,,,,,\n113,Magenta,magenta/magenta,,audio,https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40.000000,2021-01-19 21:27:46.000000,2021-01-19 21:27:34.000000,3297,293.0,539.0,16197,1375.0,Magenta: Music and Art Generation with Machine Intelligence.,144.0,29,True,2020-11-12 19:17:18.000000,2.1.3,66.0,magenta,,,,['tensorflow'],297.0,262.0,https://pypi.org/project/magenta,2020-11-12 19:17:18.000000,35.0,4566.0,4566.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n114,PaddlePaddle,PaddlePaddle/Paddle,,ml-frameworks,https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000000,2021-01-21 13:44:38.000000,2021-01-21 11:24:14.000000,3387,2386.0,10322.0,13854,15069.0,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,490.0,29,True,2020-12-18 09:06:54.000000,2.0.0-rc1,41.0,paddlepaddle,,,,['paddle'],42.0,26.0,https://pypi.org/project/paddlepaddle,2020-12-14 08:03:41.000000,16.0,5600.0,5887.0,,,,,,,,2.0,15249.0,,,,,,,,,,,,,,,,,,,,,,\n115,Faiss,facebookresearch/faiss,,nn-search,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000000,2021-01-21 11:46:03.000000,2021-01-20 19:28:08.000000,2052,98.0,1255.0,12262,432.0,A library for efficient similarity search and clustering of dense vectors.,74.0,29,True,2021-01-21 05:32:04.000000,0.4.0,44.0,pymilvus,conda-forge/faiss,,,,301.0,295.0,https://pypi.org/project/pymilvus,2021-01-21 05:32:04.000000,6.0,6781.0,9524.0,https://anaconda.org/conda-forge/faiss,2020-12-12 16:36:49.740000,21944.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n116,Turi Create,apple/turicreate,,ml-frameworks,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04.000000,2020-11-18 17:14:31.000000,2020-10-13 23:52:18.000000,1057,465.0,1242.0,10105,1565.0,Turi Create simplifies the development of custom machine learning models.,81.0,29,True,2020-09-30 22:51:40.000000,6.4.1,31.0,turicreate,,,,,254.0,220.0,https://pypi.org/project/turicreate,2020-09-30 22:51:40.000000,34.0,11510.0,11606.0,,,,,,,,2.0,3570.0,,,,,,,,,,,,,,,,,,,,,,\n117,AllenNLP,allenai/allennlp,,nlp,https://github.com/allenai/allennlp,https://github.com/allenai/allennlp,Apache-2.0,2017-05-15 15:52:41.000000,2021-01-21 13:08:36.000000,2021-01-20 23:42:49.000000,1975,99.0,2130.0,9582,,\"An open-source NLP research library, built on PyTorch.\",231.0,29,True,2020-12-15 22:10:16.000000,1.3.0,154.0,allennlp,,,,['pytorch'],1626.0,1392.0,https://pypi.org/project/allennlp,2020-11-17 18:37:28.000000,234.0,14043.0,14043.0,,,,,,,,2.0,36.0,,,,,,,,,,,,,,,,,,,,,,\n118,Lime,marcotcr/lime,,interpretability,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10.000000,2021-01-21 09:40:03.000000,2021-01-12 16:12:17.000000,1349,37.0,441.0,8348,508.0,Lime: Explaining the predictions of any machine learning classifier.,57.0,29,True,2020-04-03 22:05:03.000000,0.2.0.0,37.0,lime,conda-forge/lime,,,,1135.0,1007.0,https://pypi.org/project/lime,2020-04-03 22:04:32.000000,128.0,160625.0,161898.0,https://anaconda.org/conda-forge/lime,2020-06-28 01:02:41.538000,62384.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n119,Annoy,spotify/annoy,,nn-search,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40.000000,2021-01-20 15:53:49.000000,2020-12-03 18:21:18.000000,865,27.0,265.0,8052,785.0,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,68.0,29,True,2020-09-18 16:07:59.000000,1.17.0,43.0,annoy,,,,,1772.0,1412.0,https://pypi.org/project/annoy,2020-09-18 16:07:59.000000,360.0,215406.0,215406.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n120,fuzzywuzzy,seatgeek/fuzzywuzzy,,nlp,https://github.com/seatgeek/fuzzywuzzy,https://github.com/seatgeek/fuzzywuzzy,GPL-2.0,2011-07-08 19:32:34.000000,2020-12-19 18:34:54.000000,2020-02-13 22:13:43.000000,795,84.0,95.0,7787,379.0,Fuzzy String Matching in Python.,67.0,29,False,2020-02-13 22:14:12.000000,0.18.0,27.0,fuzzywuzzy,conda-forge/fuzzywuzzy,,,,10879.0,7673.0,https://pypi.org/project/fuzzywuzzy,2020-02-13 21:06:25.000000,3206.0,2896260.0,2901377.0,https://anaconda.org/conda-forge/fuzzywuzzy,2020-11-18 12:59:01.409000,276349.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n121,TPOT,EpistasisLab/tpot,,hyperopt,https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40.000000,2021-01-12 15:06:12.000000,2021-01-06 15:17:46.000000,1358,192.0,582.0,7758,2368.0,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,108.0,29,False,2021-01-06 15:20:08.000000,0.11.7,60.0,tpot,conda-forge/tpot,,,['sklearn'],867.0,787.0,https://pypi.org/project/tpot,2021-01-06 15:20:08.000000,80.0,41436.0,43388.0,https://anaconda.org/conda-forge/tpot,2020-12-14 22:49:13.925000,101539.0,,,,,1.0,,,,,,,,,,,,,-1.0,,,,,,,,,,\n122,TextBlob,sloria/TextBlob,,nlp,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18.000000,2021-01-11 13:19:48.000000,2021-01-11 13:18:33.000000,948,69.0,150.0,7496,535.0,\"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..\",33.0,29,True,2019-02-24 23:03:17.000000,0.15.3,55.0,textblob,conda-forge/textblob,,,,12403.0,9911.0,https://pypi.org/project/textblob,2019-02-24 23:03:17.000000,2492.0,235316.0,237372.0,https://anaconda.org/conda-forge/textblob,2019-02-24 23:32:55.233000,108927.0,,,,,2.0,88.0,,,,,,,,,,,,,,,,,,,,,,\n123,MoviePy,Zulko/moviepy,,image,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000000,2021-01-20 16:50:09.000000,2021-01-20 12:33:22.000000,1021,337.0,679.0,7219,995.0,Video editing with Python.,137.0,29,True,2020-05-07 16:29:35.000000,1.0.3,84.0,moviepy,conda-forge/moviepy,,,,6876.0,5746.0,https://pypi.org/project/moviepy,2020-10-05 00:26:29.000000,1130.0,108722.0,110435.0,https://anaconda.org/conda-forge/moviepy,2020-02-23 19:57:49.975000,71980.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n124,glfw,glfw/glfw,,image,https://github.com/glfw/glfw,https://github.com/glfw/glfw,Zlib,2013-04-18 15:24:53.000000,2021-01-19 17:35:03.000000,2021-01-18 22:52:27.000000,2631,422.0,989.0,7155,4214.0,\"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.\",168.0,29,False,2020-10-04 13:37:52.000000,2.0.0,37.0,glfw,conda-forge/glfw,,,,214.0,,https://pypi.org/project/glfw,2020-10-04 13:37:52.000000,214.0,14227.0,46252.0,https://anaconda.org/conda-forge/glfw,2020-03-20 11:09:31.058000,22155.0,,,,,2.0,2174375.0,,,,,,,,,,,,,,,,,,,,,,\n125,pandas-profiling,pandas-profiling/pandas-profiling,,data-viz,https://github.com/pandas-profiling/pandas-profiling,https://github.com/pandas-profiling/pandas-profiling,MIT,2016-01-09 23:47:55.000000,2021-01-21 00:35:23.000000,2021-01-12 17:19:32.000000,978,58.0,356.0,6600,736.0,Create HTML profiling reports from pandas DataFrame objects.,65.0,29,True,2020-09-03 10:11:24.000000,2.9.0,25.0,pandas-profiling,conda-forge/pandas-profiling,,,\"['jupyter', 'pandas']\",3046.0,2886.0,https://pypi.org/project/pandas-profiling,2020-09-03 10:11:24.000000,160.0,178646.0,180488.0,https://anaconda.org/conda-forge/pandas-profiling,2021-01-09 04:39:21.551000,97649.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n126,Datasets,huggingface/datasets,,data-loading,https://github.com/huggingface/datasets,https://github.com/huggingface/datasets,Apache-2.0,2020-03-26 09:23:22.000000,2021-01-21 15:23:22.000000,2021-01-20 14:58:02.000000,693,193.0,318.0,6547,1255.0,\"The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools.\",205.0,29,True,2021-01-13 15:29:57.000000,1.2.1,13.0,datasets,,,,,290.0,272.0,https://pypi.org/project/datasets,2021-01-04 18:33:23.000000,18.0,22063.0,22063.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n127,tensorpack,tensorpack/tensorpack,,ml-frameworks,https://github.com/tensorpack/tensorpack,https://github.com/tensorpack/tensorpack,Apache-2.0,2015-12-25 23:08:44.000000,2021-01-16 10:13:08.000000,2021-01-16 10:13:00.000000,1730,12.0,1295.0,5900,2927.0,\"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.\",55.0,29,True,2020-04-24 19:01:06.000000,0.10.1,36.0,tensorpack,,,,['tensorflow'],744.0,668.0,https://pypi.org/project/tensorpack,2020-04-24 19:01:06.000000,76.0,92011.0,92013.0,,,,,,,,2.0,105.0,,,,,,,,,,,,,,,,,,,,,,\n128,Modin,modin-project/modin,,data-containers,https://github.com/modin-project/modin,https://github.com/modin-project/modin,Apache-2.0,2018-06-21 21:35:05.000000,2021-01-21 15:10:22.000000,2021-01-20 18:39:48.000000,383,417.0,1071.0,5641,1233.0,Modin: Speed up your Pandas workflows by changing a single line of code.,66.0,29,True,2021-01-12 14:40:18.000000,0.8.3,36.0,modin,,,,['pandas'],304.0,286.0,https://pypi.org/project/modin,2021-01-12 14:40:18.000000,18.0,71746.0,78249.0,,,,,,,,2.0,195109.0,,,,,,,,,,,,,,,,,,,,,,\n129,Autograd,HIPS/autograd,,others,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23.000000,2020-12-28 18:04:28.000000,2019-11-18 14:32:40.000000,712,161.0,216.0,5093,1375.0,Efficiently computes derivatives of numpy code.,51.0,29,False,2017-08-24 17:00:41.000000,1.1.13,24.0,autograd,conda-forge/autograd,,,,1757.0,1413.0,https://pypi.org/project/autograd,2019-07-25 16:21:07.000000,344.0,389027.0,391897.0,https://anaconda.org/conda-forge/autograd,2019-07-25 18:29:55.493000,152131.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n130,Pydub,jiaaro/pydub,,audio,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38.000000,2021-01-20 16:03:05.000000,2021-01-18 04:33:23.000000,692,177.0,233.0,5049,726.0,Manipulate audio with a simple and easy high level interface.,80.0,29,True,2020-06-03 15:23:56.000000,0.24.1,66.0,pydub,conda-forge/pydub,,,,7058.0,5704.0,https://pypi.org/project/pydub,2020-06-03 15:23:56.000000,1354.0,114085.0,114576.0,https://anaconda.org/conda-forge/pydub,2019-02-02 16:23:09.348000,12276.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n131,UMAP,lmcinnes/umap,,data-viz,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17.000000,2021-01-11 21:28:26.000000,2021-01-11 21:11:07.000000,477,205.0,216.0,4442,1299.0,Uniform Manifold Approximation and Projection.,69.0,29,True,2021-01-11 21:28:26.000000,0.5.0,34.0,umap-learn,,,,,226.0,,https://pypi.org/project/umap-learn,2021-01-11 21:28:26.000000,226.0,120299.0,120299.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n132,PyOD,yzhao062/pyod,,others,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04.000000,2021-01-17 01:54:30.000000,2021-01-12 18:33:37.000000,838,101.0,82.0,4067,1245.0,A Python Toolbox for Scalable Outlier Detection (Anomaly Detection).,22.0,29,True,2021-01-12 18:42:49.000000,0.8.6,64.0,pyod,,,,,468.0,462.0,https://pypi.org/project/pyod,2021-01-12 18:42:49.000000,6.0,73991.0,73991.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n133,TinyDB,msiemens/tinydb,,data-containers,https://github.com/msiemens/tinydb,https://github.com/msiemens/tinydb,MIT,2013-07-12 23:31:13.000000,2021-01-04 09:54:25.000000,2021-01-04 09:54:20.000000,356,14.0,238.0,3964,603.0,TinyDB is a lightweight document oriented database optimized for your happiness :).,62.0,29,True,2020-11-14 21:02:31.000000,4.3.0,58.0,tinydb,conda-forge/tinydb,,,,1118.0,,https://pypi.org/project/tinydb,2020-11-14 21:02:29.000000,1118.0,134011.0,135822.0,https://anaconda.org/conda-forge/tinydb,2020-11-14 22:52:17.151000,99605.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n134,yfinance,ranaroussi/yfinance,,financial-data,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000000,2021-01-18 14:16:48.000000,2021-01-18 14:16:47.000000,992,299.0,172.0,3941,247.0,Yahoo! Finance market data downloader (+faster Pandas Datareader).,28.0,29,True,2020-10-05 12:19:44.000000,0.1.55,20.0,yfinance,ranaroussi/yfinance,,,,2745.0,2719.0,https://pypi.org/project/yfinance,2020-10-05 12:19:44.000000,26.0,97655.0,99502.0,https://anaconda.org/ranaroussi/yfinance,2019-12-27 21:30:44.606000,31408.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n135,kaggle,Kaggle/kaggle-api,,ml-experiments,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000000,2021-01-21 01:19:19.873000,2020-11-30 21:43:14.000000,770,165.0,107.0,3785,137.0,Official Kaggle API.,35.0,29,True,2020-11-30 13:37:18.000000,1.5.10,47.0,kaggle,conda-forge/kaggle,,,,4891.0,4327.0,https://pypi.org/project/kaggle,2020-11-30 13:37:18.000000,564.0,196228.0,198229.0,https://anaconda.org/conda-forge/kaggle,2021-01-21 01:19:19.873000,40036.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n136,sacred,IDSIA/sacred,,ml-experiments,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29.000000,2021-01-18 13:36:24.000000,2021-01-12 12:37:55.000000,314,92.0,398.0,3272,1300.0,\"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.\",91.0,29,True,2020-12-14 15:21:05.000000,0.8.2,27.0,sacred,,,,,930.0,776.0,https://pypi.org/project/sacred,2020-12-14 15:21:05.000000,154.0,10427.0,10427.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n137,Koalas,databricks/koalas,,data-containers,https://github.com/databricks/koalas,https://github.com/databricks/koalas,Apache-2.0,2019-01-03 21:46:54.000000,2021-01-20 22:33:08.000000,2021-01-20 21:50:53.000000,293,84.0,421.0,2590,1442.0,Koalas: pandas API on Apache Spark.,47.0,29,True,2020-12-11 21:10:40.000000,1.5.0,42.0,koalas,conda-forge/koalas,,,\"['spark', 'pandas']\",73.0,72.0,https://pypi.org/project/koalas,2020-12-11 21:10:40.000000,1.0,792684.0,796463.0,https://anaconda.org/conda-forge/koalas,2020-12-11 23:19:38.184000,74687.0,,,,,2.0,996.0,,,,,,,,,,,,,,,,,,,,,,\n138,PyQtGraph,pyqtgraph/pyqtgraph,,data-viz,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21.000000,2021-01-21 15:10:25.000000,2021-01-20 07:35:58.000000,806,286.0,439.0,2267,2364.0,Fast data visualization and GUI tools for scientific / engineering applications.,180.0,29,True,2020-12-20 02:41:29.000000,pyqtgraph-0.11.1,12.0,pyqtgraph,conda-forge/pyqtgraph,,,,890.0,,https://pypi.org/project/pyqtgraph,2020-12-20 02:43:22.000000,890.0,23588.0,26893.0,https://anaconda.org/conda-forge/pyqtgraph,2020-12-20 05:06:42.442000,158643.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n139,hmmlearn,hmmlearn/hmmlearn,,probabilistics,https://github.com/hmmlearn/hmmlearn,https://github.com/hmmlearn/hmmlearn,BSD-3-Clause,2014-03-23 10:33:09.000000,2020-12-28 11:37:25.000000,2020-12-28 11:37:23.000000,603,64.0,276.0,2161,345.0,\"Hidden Markov Models in Python, with scikit-learn like API.\",31.0,29,True,2020-09-12 15:19:20.000000,0.2.4,6.0,hmmlearn,conda-forge/hmmlearn,,,['sklearn'],1066.0,860.0,https://pypi.org/project/hmmlearn,2020-09-12 15:19:20.000000,206.0,114886.0,117135.0,https://anaconda.org/conda-forge/hmmlearn,2020-11-01 16:03:30.138000,58481.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n140,ipyparallel,ipython/ipyparallel,,distributed-ml,https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,BSD-3-Clause,2015-04-09 07:43:55.000000,2021-01-20 19:43:26.000000,2020-08-24 09:09:27.000000,728,139.0,107.0,1860,1817.0,Interactive Parallel Computing in Python.,94.0,29,True,2020-05-05 18:42:38.000000,6.3.0,21.0,ipyparallel,conda-forge/ipyparallel,,,['jupyter'],1871.0,1381.0,https://pypi.org/project/ipyparallel,2020-05-05 18:42:38.000000,490.0,61728.0,68157.0,https://anaconda.org/conda-forge/ipyparallel,2020-12-14 23:13:00.768000,366472.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n141,pandas-datareader,pydata/pandas-datareader,,data-loading,https://github.com/pydata/pandas-datareader,https://github.com/pydata/pandas-datareader,BSD-3-Clause,2015-01-15 00:34:19.000000,2021-01-20 09:02:41.000000,2020-12-31 11:58:23.000000,489,70.0,370.0,1797,764.0,Extract data from a wide range of Internet sources into a pandas DataFrame.,77.0,29,True,2020-07-10 10:04:14.000000,0.9.0,21.0,pandas-datareader,conda-forge/pandas-datareader,,,['pandas'],8908.0,7502.0,https://pypi.org/project/pandas-datareader,2020-07-10 10:04:14.000000,1406.0,114450.0,116379.0,https://anaconda.org/conda-forge/pandas-datareader,2019-11-20 10:38:42.074000,86826.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n142,HoloViews,holoviz/holoviews,,data-viz,https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000000,2021-01-21 14:44:29.000000,2021-01-20 22:10:53.000000,299,674.0,1815.0,1787,10116.0,\"With Holoviews, your data visualizes itself.\",101.0,29,True,2020-12-27 23:53:28.000000,1.14.1,60.0,holoviews,conda-forge/holoviews,,,['jupyter'],170.0,,https://pypi.org/project/holoviews,2020-12-27 23:53:28.000000,170.0,73193.0,87078.0,https://anaconda.org/conda-forge/holoviews,2020-12-28 13:23:01.410000,404024.0,,,,,2.0,,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,2020-05-24 13:49:54.205000,,6671.0,,,,,,,,,,,,,,,,\n143,Lifelines,CamDavidsonPilon/lifelines,,medical-data,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42.000000,2021-01-05 18:34:14.000000,2021-01-05 18:34:13.000000,411,188.0,588.0,1533,2073.0,Survival analysis in Python.,90.0,29,True,2020-12-09 21:14:01.000000,0.25.7,152.0,lifelines,conda-forge/lifelines,,,,610.0,484.0,https://pypi.org/project/lifelines,2020-12-09 21:14:01.000000,126.0,97039.0,99266.0,https://anaconda.org/conda-forge/lifelines,2020-12-10 02:47:14.864000,122525.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n144,Geocoder,DenisCarriere/geocoder,,geospatial-data,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21.000000,2020-12-30 04:09:42.000000,2018-10-12 15:53:05.000000,252,64.0,215.0,1322,1251.0,Python Geocoder.,74.0,29,False,2018-04-04 12:34:51.000000,1.38.1,108.0,geocoder,conda-forge/geocoder,,,,3541.0,2965.0,https://pypi.org/project/geocoder,2018-04-04 12:34:51.000000,576.0,217736.0,219574.0,https://anaconda.org/conda-forge/geocoder,2019-06-27 16:40:50.469000,86397.0,,,,,2.0,,,,,,,,,,,,,,geocoder,,,,,,,,,\n145,torchaudio,pytorch/audio,,audio,https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000000,2021-01-21 15:41:30.000000,2021-01-21 15:37:35.000000,262,152.0,248.0,1202,668.0,\"Data manipulation and transformation for audio signal processing, powered by PyTorch.\",86.0,29,True,2020-12-10 17:02:20.000000,0.7.2,11.0,torchaudio,,,,['pytorch'],1228.0,1219.0,https://pypi.org/project/torchaudio,2020-10-27 16:14:57.000000,9.0,66248.0,66248.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n146,Keras-Preprocessing,keras-team/keras-preprocessing,,others,https://github.com/keras-team/keras-preprocessing,https://github.com/keras-team/keras-preprocessing,MIT,2018-05-30 22:43:36.000000,2021-01-21 10:39:21.000000,2021-01-19 15:35:49.000000,392,93.0,99.0,904,282.0,\"Utilities for working with image data, text data, and sequence data.\",48.0,29,True,2020-05-14 03:53:47.000000,1.1.2,12.0,keras-preprocessing,conda-forge/keras-preprocessing,,,['tensorflow'],2736.0,,https://pypi.org/project/keras-preprocessing,2020-05-14 03:53:47.000000,2736.0,3314926.0,3339862.0,https://anaconda.org/conda-forge/keras-preprocessing,2021-01-15 12:28:58.923000,773043.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n147,Graphviz,xflr6/graphviz,,data-viz,https://github.com/xflr6/graphviz,https://github.com/xflr6/graphviz,MIT,2014-01-12 17:49:29.000000,2021-01-18 20:58:35.000000,2021-01-18 19:38:58.000000,139,5.0,96.0,901,450.0,Simple Python interface for Graphviz.,16.0,29,True,2020-10-07 09:06:41.000000,0.14.2,47.0,graphviz,,,,,21328.0,16946.0,https://pypi.org/project/graphviz,2020-12-24 16:17:24.000000,4382.0,2293503.0,2293503.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n148,TensorFlow Transform,tensorflow/transform,,tensorflow-utils,https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53.000000,2021-01-21 11:00:21.000000,2021-01-21 11:00:16.000000,164,33.0,114.0,849,569.0,Input pipeline framework.,27.0,29,True,2020-12-16 21:35:23.000000,0.26.0,33.0,tensorflow-transform,,,,['tensorflow'],479.0,395.0,https://pypi.org/project/tensorflow-transform,2020-12-16 21:35:23.000000,84.0,6534234.0,6534234.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n149,snakemake,snakemake/snakemake,,ml-experiments,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867000,2021-01-20 23:07:32.614000,2021-01-19 16:57:51.000000,184,317.0,206.0,821,3952.0,\"This is the development home of the workflow management system Snakemake. For general information, see.\",195.0,29,True,2021-01-15 13:36:23.000000,5.32.0,159.0,snakemake,bioconda/snakemake,,,,1016.0,728.0,https://pypi.org/project/snakemake,2021-01-15 13:37:08.000000,288.0,7786.0,12058.0,https://anaconda.org/bioconda/snakemake,2021-01-20 23:07:32.614000,269186.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n150,Bottleneck,pydata/bottleneck,,data-containers,https://github.com/pydata/bottleneck,https://github.com/pydata/bottleneck,BSD-2-Clause,2010-11-27 23:21:22.000000,2021-01-21 02:48:32.623000,2021-01-19 04:19:46.000000,63,23.0,177.0,568,1231.0,Fast NumPy array functions written in C.,21.0,29,True,2020-02-21 06:22:16.000000,1.3.2,21.0,Bottleneck,conda-forge/bottleneck,,,,21176.0,18284.0,https://pypi.org/project/Bottleneck,2020-02-21 06:22:16.000000,2892.0,190332.0,214949.0,https://anaconda.org/conda-forge/bottleneck,2021-01-21 02:48:32.623000,1378599.0,,,,,2.0,,,,,,,,,,,,,1.0,,,,,,,,,,\n151,pyproj,pyproj4/pyproj,,geospatial-data,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000000,2021-01-08 01:17:08.000000,2021-01-08 01:15:13.000000,146,6.0,375.0,565,1099.0,Python interface to PROJ (cartographic projections and coordinate transformations library).,39.0,29,True,2020-11-05 13:39:29.000000,3.0.0.post1,34.0,pyproj,conda-forge/pyproj,,,,10685.0,8223.0,https://pypi.org/project/pyproj,2020-11-05 14:28:45.000000,2462.0,1030411.0,1061170.0,https://anaconda.org/conda-forge/pyproj,2020-11-06 22:55:31.654000,1876308.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n152,NIPYPE,nipy/nipype,,medical-data,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000000,2021-01-11 05:49:22.000000,2020-12-08 17:16:40.000000,439,312.0,873.0,544,14049.0,Workflows and interfaces for neuroimaging packages.,212.0,29,True,2020-09-17 18:44:32.000000,1.5.1,54.0,nipype,conda-forge/nipype,,,,686.0,494.0,https://pypi.org/project/nipype,2020-08-16 18:30:16.000000,192.0,9841.0,16279.0,https://anaconda.org/conda-forge/nipype,2020-11-28 17:44:51.813000,347658.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n153,snowballstemmer,snowballstem/snowball,,nlp,https://github.com/snowballstem/snowball,https://github.com/snowballstem/snowball,BSD-3-Clause,2013-02-23 07:17:42.000000,2021-01-21 05:10:14.000000,2021-01-21 04:50:09.000000,128,19.0,42.0,469,841.0,Snowball compiler and stemming algorithms.,25.0,29,True,2019-10-03 08:03:11.000000,2.0.0,8.0,snowballstemmer,conda-forge/snowballstemmer,,,,55913.0,42731.0,https://pypi.org/project/snowballstemmer,2019-10-03 08:03:11.000000,13182.0,2069507.0,2106695.0,https://anaconda.org/conda-forge/snowballstemmer,2019-10-03 09:44:39.068000,1970986.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n154,NiBabel,nipy/nibabel,,medical-data,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30.000000,2021-01-17 18:44:58.000000,2021-01-17 17:02:03.000000,209,109.0,285.0,383,4939.0,Python package to access a cacophony of neuro-imaging file formats.,89.0,29,True,2020-11-28 22:19:50.000000,3.2.1,32.0,nibabel,conda-forge/nibabel,,,,4777.0,3513.0,https://pypi.org/project/nibabel,2020-11-28 22:18:23.000000,1264.0,43330.0,48546.0,https://anaconda.org/conda-forge/nibabel,2020-11-29 03:40:05.178000,292137.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n155,baselines,openai/baselines,,reinforcement-learning,https://github.com/openai/baselines,https://github.com/openai/baselines,MIT,2017-05-24 01:58:13.000000,2021-01-02 22:20:03.000000,2020-01-31 13:06:18.000000,3836,452.0,423.0,11045,347.0,OpenAI Baselines: high-quality implementations of reinforcement learning algorithms.,114.0,28,True,2018-02-26 17:07:07.000000,0.1.5,6.0,baselines,,,,,315.0,278.0,https://pypi.org/project/baselines,2018-02-26 17:07:07.000000,37.0,27656.0,27656.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n156,PyTorch Geometric,rusty1s/pytorch_geometric,,graph,https://github.com/rusty1s/pytorch_geometric,https://github.com/rusty1s/pytorch_geometric,MIT,2017-10-06 16:03:03.000000,2021-01-20 07:39:01.000000,2021-01-20 07:38:57.000000,1677,662.0,1090.0,10014,4076.0,Geometric Deep Learning Extension Library for PyTorch.,137.0,28,True,2020-12-02 14:57:09.000000,1.6.3,25.0,torch-geometric,,,,['pytorch'],24.0,,https://pypi.org/project/torch-geometric,2020-11-27 07:18:41.000000,24.0,11651.0,11651.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n157,Sonnet,deepmind/sonnet,,ml-frameworks,https://github.com/deepmind/sonnet,https://github.com/deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35.000000,2020-11-30 02:35:15.000000,2020-10-08 10:01:11.000000,1257,18.0,135.0,8715,545.0,TensorFlow-based neural network library.,48.0,28,True,2020-03-27 10:36:19.000000,2.0.0,27.0,dm-sonnet,conda-forge/sonnet,,,['tensorflow'],564.0,482.0,https://pypi.org/project/dm-sonnet,2020-03-27 10:36:10.000000,82.0,46997.0,47493.0,https://anaconda.org/conda-forge/sonnet,2020-11-14 18:13:23.843000,6949.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n158,Albumentations,albumentations-team/albumentations,,image,https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000000,2021-01-15 07:22:55.000000,2021-01-15 07:22:53.000000,915,171.0,233.0,7107,615.0,Fast image augmentation library and easy to use wrapper around other libraries. Documentation:..,72.0,28,True,2020-11-29 14:30:07.000000,0.5.2,44.0,albumentations,conda-forge/albumentations,,,['pytorch'],2687.0,2559.0,https://pypi.org/project/albumentations,2020-11-29 14:30:07.000000,128.0,55867.0,56612.0,https://anaconda.org/conda-forge/albumentations,2020-11-29 15:51:47.610000,14164.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n159,OpenNMT,OpenNMT/OpenNMT-py,,nlp,https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000000,2021-01-20 13:37:40.000000,2021-01-20 13:34:11.000000,1768,90.0,1124.0,4770,2541.0,Open Source Neural Machine Translation in PyTorch.,165.0,28,True,2021-01-20 13:35:57.000000,2.0.0,27.0,OpenNMT-py,,,,['pytorch'],69.0,65.0,https://pypi.org/project/OpenNMT-py,2021-01-20 13:35:57.000000,4.0,4242.0,4242.0,,,,,,,,2.0,,,,,,,,,,,,,1.0,,,,,,,,,,\n160,GluonCV,dmlc/gluon-cv,,image,https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21.000000,2021-01-20 22:38:51.000000,2021-01-20 22:38:50.000000,1031,364.0,375.0,4488,830.0,Gluon CV Toolkit.,110.0,28,True,2021-01-05 00:33:13.000000,0.9.1,972.0,gluoncv,,,,['mxnet'],432.0,402.0,https://pypi.org/project/gluoncv,2021-01-20 09:01:56.000000,30.0,65707.0,65707.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n161,Tokenizers,huggingface/tokenizers,,nlp,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000000,2021-01-18 17:06:37.000000,2021-01-12 21:47:56.000000,305,80.0,292.0,4177,1427.0,Fast State-of-the-Art Tokenizers optimized for Research and Production.,40.0,28,True,2021-01-12 21:50:02.000000,0.10.0,58.0,tokenizers,conda-forge/tokenizers,,,,24.0,24.0,https://pypi.org/project/tokenizers,2021-01-12 21:50:02.000000,0.0,813098.0,816185.0,https://anaconda.org/conda-forge/tokenizers,2020-11-19 06:02:47.112000,18523.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n162,DEAP,deap/deap,,distributed-ml,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39.000000,2021-01-18 16:32:46.000000,2020-12-25 17:33:18.000000,839,166.0,220.0,4044,2147.0,Distributed Evolutionary Algorithms in Python.,67.0,28,False,2020-01-21 01:18:06.000000,1.3.1,16.0,deap,conda-forge/deap,,,,2035.0,1553.0,https://pypi.org/project/deap,2020-01-21 01:18:06.000000,482.0,84341.0,86318.0,https://anaconda.org/conda-forge/deap,2021-01-13 14:43:13.393000,108762.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n163,sentence-transformers,UKPLab/sentence-transformers,,nlp,https://github.com/UKPLab/sentence-transformers,https://github.com/UKPLab/sentence-transformers,Apache-2.0,2019-07-24 10:53:51.000000,2021-01-21 09:45:27.000000,2021-01-21 09:45:01.000000,739,297.0,350.0,3961,584.0,Sentence Embeddings with BERT & XLNet.,38.0,28,True,2021-01-04 14:04:01.000000,0.4.1,29.0,sentence-transformers,,,,['pytorch'],565.0,565.0,https://pypi.org/project/sentence-transformers,2021-01-04 15:49:09.000000,0.0,130137.0,130137.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n164,Kornia,kornia/kornia,,image,https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000000,2021-01-21 09:43:27.000000,2021-01-21 08:06:09.000000,347,103.0,247.0,3525,1491.0,Open Source Differentiable Computer Vision Library for PyTorch.,83.0,28,True,2020-10-20 19:31:49.000000,0.4.1,12.0,kornia,,,,['pytorch'],237.0,237.0,https://pypi.org/project/kornia,2020-10-20 19:31:49.000000,0.0,13490.0,13490.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n165,imutils,jrosebr1/imutils,,image,https://github.com/jrosebr1/imutils,https://github.com/jrosebr1/imutils,MIT,2015-01-11 20:05:39.000000,2021-01-15 17:56:11.000000,2021-01-15 10:46:45.000000,871,127.0,76.0,3479,138.0,\"A series of convenience functions to make basic image processing operations such as translation, rotation, resizing,..\",20.0,28,True,2021-01-15 10:53:17.000000,0.5.4,29.0,imutils,conda-forge/imutils,,,,12842.0,11646.0,https://pypi.org/project/imutils,2021-01-15 10:53:17.000000,1196.0,153891.0,155720.0,https://anaconda.org/conda-forge/imutils,2021-01-15 14:27:25.471000,34763.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n166,Kedro,quantumblacklabs/kedro,,data-pipelines,https://github.com/quantumblacklabs/kedro,https://github.com/quantumblacklabs/kedro,Apache-2.0,2019-04-18 10:29:56.000000,2021-01-21 15:38:53.000000,2021-01-21 14:18:24.000000,385,87.0,341.0,3316,1123.0,\"A Python framework for creating reproducible, maintainable and modular data science code.\",94.0,28,True,2020-12-17 13:31:56.000000,0.17.0,24.0,kedro,,,,,379.0,363.0,https://pypi.org/project/kedro,2020-12-17 13:31:56.000000,16.0,49759.0,49759.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n167,dyNET,clab/dynet,,ml-frameworks,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21.000000,2021-01-17 19:32:58.000000,2021-01-17 19:32:57.000000,692,255.0,660.0,3167,3262.0,DyNet: The Dynamic Neural Network Toolkit.,156.0,28,True,2020-10-21 14:31:01.000000,2.1.2,24.0,dyNET,,,,,203.0,165.0,https://pypi.org/project/dyNET,2020-10-21 14:31:01.000000,38.0,4460.0,4489.0,,,,,,,,3.0,1508.0,,,,,,,,,,,,1.0,,,,,,,,,,\n168,Blaze,blaze/blaze,,data-containers,https://github.com/blaze/blaze,https://github.com/blaze/blaze,BSD-3-Clause,2012-10-26 14:25:22.000000,2020-02-01 19:33:09.000000,2019-08-15 21:14:59.000000,373,262.0,500.0,2921,7496.0,NumPy and Pandas interface to Big Data.,64.0,28,False,2016-07-19 20:40:03.000000,0.11.0,14.0,blaze,conda-forge/blaze,,,,7905.0,7417.0,https://pypi.org/project/blaze,2016-05-06 21:19:21.000000,488.0,9770.0,14348.0,https://anaconda.org/conda-forge/blaze,2018-07-15 22:16:17.685000,187728.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n169,Dedupe,dedupeio/dedupe,,nlp,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36.000000,2021-01-15 22:45:06.000000,2021-01-15 22:44:19.000000,402,54.0,570.0,2882,2793.0,\"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.\",55.0,28,True,2020-09-02 00:17:19.000000,2.0.6,157.0,dedupe,,,,,253.0,175.0,https://pypi.org/project/dedupe,2020-09-06 01:50:45.000000,78.0,46662.0,46662.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n170,PyCaret,pycaret/pycaret,,ml-experiments,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000000,2021-01-20 22:24:52.000000,2021-01-18 16:04:07.000000,596,162.0,544.0,2858,1591.0,\"An open-source, low-code machine learning library in Python.\",44.0,28,True,2020-12-22 22:10:30.000000,2.2.3,68.0,pycaret,,,,,607.0,607.0,https://pypi.org/project/pycaret,2020-12-22 22:10:30.000000,0.0,22254.0,22313.0,,,,,,,,2.0,354.0,,,,,,,,,,,,,,,,,,,,,,\n171,phonenumbers,daviddrysdale/python-phonenumbers,,nlp,https://github.com/daviddrysdale/python-phonenumbers,https://github.com/daviddrysdale/python-phonenumbers,Apache-2.0,2011-04-21 03:06:38.000000,2021-01-18 18:09:13.000000,2021-01-12 14:46:13.000000,326,3.0,111.0,2608,,Python port of Google's libphonenumber.,22.0,28,True,2021-01-12 14:52:18.000000,8.12.16,167.0,phonenumbers,conda-forge/phonenumbers,,,,2280.0,,https://pypi.org/project/phonenumbers,2021-01-12 14:52:18.000000,2280.0,650796.0,657525.0,https://anaconda.org/conda-forge/phonenumbers,2019-08-04 21:19:59.322000,370120.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n172,VisPy,vispy/vispy,,data-viz,https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22.000000,2021-01-21 08:08:11.000000,2021-01-18 16:17:56.000000,535,354.0,781.0,2560,6400.0,High-performance interactive 2D/3D data visualization library.,144.0,28,True,2020-12-14 15:55:00.000000,0.6.6,16.0,vispy,conda-forge/vispy,,,['jupyter'],565.0,443.0,https://pypi.org/project/vispy,2020-11-28 02:55:50.000000,122.0,13088.0,16247.0,https://anaconda.org/conda-forge/vispy,2021-01-13 03:28:46.609000,118568.0,,,,,2.0,,,vispy,https://www.npmjs.com/package/vispy,2020-03-15 14:39:41.516000,,119.0,,,,,,,,,,,,,,,,\n173,plotnine,has2k1/plotnine,,data-viz,https://github.com/has2k1/plotnine,https://github.com/has2k1/plotnine,GPL-2.0,2017-04-24 19:00:44.000000,2021-01-18 09:55:40.000000,2021-01-06 10:16:20.000000,128,53.0,348.0,2498,1673.0,A grammar of graphics for Python.,81.0,28,False,2020-08-05 20:10:30.000000,0.7.1,10.0,plotnine,conda-forge/plotnine,,,,1591.0,1464.0,https://pypi.org/project/plotnine,2020-08-05 18:55:16.000000,127.0,91281.0,93268.0,https://anaconda.org/conda-forge/plotnine,2020-08-06 19:52:38.810000,87458.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n174,datashader,holoviz/datashader,,data-viz,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000000,2021-01-17 16:07:43.000000,2021-01-17 16:07:42.000000,311,144.0,316.0,2400,1282.0,Quickly and accurately render even the largest data.,43.0,28,True,2021-01-07 16:14:43.000000,0.12.0,22.0,datashader,conda-forge/datashader,,,,630.0,560.0,https://pypi.org/project/datashader,2021-01-07 16:14:43.000000,70.0,9647.0,13158.0,https://anaconda.org/conda-forge/datashader,2021-01-08 10:17:48.622000,133424.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n175,dbt,fishtown-analytics/dbt,,data-pipelines,https://github.com/fishtown-analytics/dbt,https://github.com/fishtown-analytics/dbt,Apache-2.0,2016-03-10 02:38:00.000000,2021-01-21 15:36:05.000000,2021-01-21 15:36:03.000000,476,261.0,1436.0,2394,2481.0,dbt (data build tool) enables data analysts and engineers to transform their data using the same practices that..,131.0,28,True,2020-10-13 21:51:53.000000,0.18.1,141.0,dbt,conda-forge/dbt,,,,190.0,172.0,https://pypi.org/project/dbt,2021-01-14 17:42:29.000000,18.0,96098.0,99065.0,https://anaconda.org/conda-forge/dbt,2020-05-14 13:55:32.153000,148352.0,,,,,2.0,,,,,,,,,,dbt,,,,,,,,,,,,,\n176,sklearn-pandas,scikit-learn-contrib/sklearn-pandas,,data-containers,https://github.com/scikit-learn-contrib/sklearn-pandas,https://github.com/scikit-learn-contrib/sklearn-pandas,Zlib,2013-04-22 22:55:20.000000,2021-01-06 16:30:51.000000,2021-01-06 16:28:10.000000,387,30.0,117.0,2313,269.0,Pandas integration with sklearn.,35.0,28,False,2021-01-06 16:30:51.000000,2.0.4,24.0,sklearn-pandas,,,,\"['sklearn', 'pandas']\",1876.0,1654.0,https://pypi.org/project/sklearn-pandas,2020-11-07 02:30:27.000000,222.0,109484.0,109484.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n177,eli5,TeamHG-Memex/eli5,,interpretability,https://github.com/TeamHG-Memex/eli5,https://github.com/TeamHG-Memex/eli5,MIT,2016-09-15 01:04:57.000000,2021-01-12 14:47:25.000000,2020-01-22 07:39:36.000000,284,126.0,110.0,2271,1198.0,A library for debugging/inspecting machine learning classifiers and explaining their predictions.,14.0,28,True,2019-08-29 06:19:32.000000,0.10.1,27.0,eli5,conda-forge/eli5,,,,939.0,843.0,https://pypi.org/project/eli5,2019-08-29 06:19:32.000000,96.0,222974.0,224922.0,https://anaconda.org/conda-forge/eli5,2020-06-15 13:11:13.408000,85752.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n178,GPyTorch,cornellius-gp/gpytorch,,probabilistics,https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000000,2021-01-20 21:41:48.000000,2021-01-20 15:06:00.000000,318,210.0,629.0,2257,3235.0,A highly efficient and modular implementation of Gaussian Processes in PyTorch.,66.0,28,True,2021-01-19 22:18:43.000000,1.3.1,25.0,gpytorch,,,,['pytorch'],197.0,189.0,https://pypi.org/project/gpytorch,2021-01-19 22:09:01.000000,8.0,29653.0,29653.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n179,NMSLIB,nmslib/nmslib,,nn-search,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06.000000,2021-01-10 13:21:54.000000,2021-01-08 16:53:47.000000,334,46.0,310.0,2256,1482.0,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,44.0,28,True,2021-01-08 12:37:37.000000,2.0.16,29.0,nmslib,conda-forge/nmslib,,,,365.0,313.0,https://pypi.org/project/nmslib,2021-01-08 12:37:37.000000,52.0,55123.0,56259.0,https://anaconda.org/conda-forge/nmslib,2021-01-08 16:19:07.762000,10229.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n180,implicit,benfred/implicit,,recommender-systems,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000000,2020-11-24 06:44:37.378000,2020-11-15 19:47:23.000000,452,77.0,255.0,2229,300.0,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,28.0,28,True,2020-09-15 22:01:38.000000,0.4.4,34.0,implicit,conda-forge/implicit,,,,372.0,350.0,https://pypi.org/project/implicit,2020-09-15 22:01:38.000000,22.0,91589.0,96609.0,https://anaconda.org/conda-forge/implicit,2020-11-24 06:44:37.378000,180736.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n181,Keras Tuner,keras-team/keras-tuner,,hyperopt,https://github.com/keras-team/keras-tuner,https://github.com/keras-team/keras-tuner,Apache-2.0,2019-06-06 22:38:21.000000,2020-12-23 19:28:06.000000,2020-12-09 20:19:05.000000,257,145.0,134.0,2211,787.0,Hyperparameter tuning for humans.,28.0,28,True,2020-11-20 19:13:23.000000,1.0.2,5.0,keras-tuner,,,,['tensorflow'],367.0,365.0,https://pypi.org/project/keras-tuner,2020-11-20 19:00:59.000000,2.0,202449.0,202449.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n182,AzureML SDK,Azure/MachineLearningNotebooks,,ml-experiments,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000000,2021-01-11 19:52:49.000000,2021-01-11 19:52:48.000000,1545,70.0,851.0,2086,1083.0,Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft.,52.0,28,True,2020-12-07 18:38:50.000000,1.20.0,66.0,azureml-sdk,,,,,60.0,,https://pypi.org/project/azureml-sdk,2021-01-11 18:12:53.000000,60.0,260552.0,260566.0,,,,,,,,2.0,390.0,,,,,,,,,,,,,,,,,,,,,,\n183,ImageHash,JohannesBuchner/imagehash,,image,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48.000000,2021-01-03 14:55:33.000000,2021-01-03 14:55:15.000000,246,17.0,70.0,1809,184.0,A Python Perceptual Image Hashing Module.,17.0,28,True,2020-11-19 14:54:24.000000,4.2.0,17.0,ImageHash,conda-forge/imagehash,,,,2427.0,1895.0,https://pypi.org/project/ImageHash,2020-11-19 14:54:24.000000,532.0,311591.0,313550.0,https://anaconda.org/conda-forge/imagehash,2020-11-19 18:20:49.964000,97978.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n184,tslearn,tslearn-team/tslearn,,time-series-data,https://github.com/tslearn-team/tslearn,https://github.com/tslearn-team/tslearn,BSD-2-Clause,2017-05-04 13:08:13.000000,2021-01-16 16:37:03.000000,2021-01-08 10:47:51.000000,219,59.0,166.0,1445,1558.0,A machine learning toolkit dedicated to time-series data.,28.0,28,True,2020-06-18 15:54:49.000000,0.4.1,90.0,tslearn,conda-forge/tslearn,,,['sklearn'],191.0,180.0,https://pypi.org/project/tslearn,2020-06-18 16:13:01.000000,11.0,63778.0,69044.0,https://anaconda.org/conda-forge/tslearn,2020-06-19 05:46:30.651000,179049.0,,,,,1.0,,,,,,,,,,,,,1.0,,,,,,,,,,\n185,PyTables,PyTables/PyTables,,data-containers,https://github.com/PyTables/PyTables,https://github.com/PyTables/PyTables,BSD-3-Clause,2011-06-03 19:44:46.000000,2021-01-14 21:24:14.000000,2021-01-10 15:27:11.000000,180,153.0,440.0,1001,3909.0,A Python package to manage extremely large amounts of data.,96.0,28,True,2019-10-30 19:33:37.000000,3.6.1,25.0,tables,conda-forge/pytables,,,,3754.0,,https://pypi.org/project/tables,2019-10-30 19:33:37.000000,3754.0,327899.0,368516.0,https://anaconda.org/conda-forge/pytables,2021-01-14 18:41:06.536000,2152606.0,,,,,2.0,125.0,,,,,,,,,,,,,,,,,,,,,,\n186,arviz,arviz-devs/arviz,,interpretability,https://github.com/arviz-devs/arviz,https://github.com/arviz-devs/arviz,Apache-2.0,2015-07-29 11:51:10.000000,2021-01-21 15:48:25.000000,2021-01-20 18:31:21.000000,172,108.0,413.0,932,1111.0,Exploratory analysis of Bayesian models with Python.,62.0,28,True,2021-01-17 23:32:12.000000,0.11.0,21.0,arviz,conda-forge/arviz,,,,711.0,675.0,https://pypi.org/project/arviz,2021-01-17 23:32:12.000000,36.0,106499.0,115031.0,https://anaconda.org/conda-forge/arviz,2021-01-18 02:16:25.172000,170587.0,,,,,1.0,98.0,,,,,,,,,,,,,,,,,,,,,,\n187,inflect,jaraco/inflect,,nlp,https://github.com/jaraco/inflect,https://github.com/jaraco/inflect,MIT,2010-06-20 13:43:13.000000,2021-01-08 13:09:35.481000,2020-11-15 19:27:28.000000,57,13.0,58.0,471,590.0,\"Correctly generate plurals, ordinals, indefinite articles; convert numbers to words.\",25.0,28,True,2020-11-15 17:41:03.000000,5.0.2,30.0,inflect,conda-forge/inflect,,,,1388.0,,https://pypi.org/project/inflect,2020-11-15 17:40:58.000000,1388.0,841866.0,844632.0,https://anaconda.org/conda-forge/inflect,2021-01-08 13:09:35.481000,124508.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n188,DIPY,dipy/dipy,,medical-data,https://github.com/dipy/dipy,https://github.com/dipy/dipy,BSD-3-Clause,2010-02-06 11:43:08.000000,2021-01-20 12:36:56.000000,2020-12-10 16:48:07.000000,313,156.0,572.0,382,11365.0,\"DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal..\",118.0,28,True,2020-11-05 17:35:53.000000,1.3.0,21.0,dipy,conda-forge/dipy,,,,418.0,324.0,https://pypi.org/project/dipy,2020-11-05 17:35:53.000000,94.0,5674.0,8783.0,https://anaconda.org/conda-forge/dipy,2020-11-14 18:28:50.683000,174153.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n189,Cython BLIS,explosion/cython-blis,,others,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16.000000,2020-12-07 11:23:01.451000,2020-12-07 07:21:11.000000,22,6.0,15.0,157,524.0,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,9.0,28,True,2020-12-07 08:56:44.000000,0.7.4,35.0,blis,conda-forge/cython-blis,,,,8296.0,7906.0,https://pypi.org/project/blis,2020-12-07 08:56:44.000000,390.0,734584.0,752271.0,https://anaconda.org/conda-forge/cython-blis,2020-12-07 11:23:01.451000,389127.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n190,CNTK,microsoft/CNTK,,ml-frameworks,https://github.com/microsoft/CNTK,https://github.com/microsoft/CNTK,MIT,2015-11-26 09:52:06.000000,2020-12-09 22:21:57.000000,2020-03-31 15:55:14.000000,4408,830.0,2516.0,16953,16116.0,\"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.\",265.0,27,True,2019-04-26 14:13:32.000000,2.7,32.0,cntk,,,,,17.0,,https://pypi.org/project/cntk,2020-12-09 22:21:57.000000,17.0,1091.0,1317.0,,,,,,,,3.0,13591.0,,,,,,,,,,,,,,,,,,,,,,\n191,EasyOCR,JaidedAI/EasyOCR,,ocr,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000000,2021-01-14 04:20:11.000000,2021-01-14 04:20:10.000000,977,79.0,160.0,10064,368.0,\"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..\",73.0,27,True,2021-01-05 13:59:10.000000,1.2.2,15.0,easyocr,,,,,103.0,103.0,https://pypi.org/project/easyocr,2021-01-05 13:59:10.000000,0.0,9910.0,25367.0,,,,,,,,2.0,108201.0,,,,,,,,,,,,,,,,,,,,,,\n192,NNI,microsoft/nni,,hyperopt,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44.000000,2021-01-21 14:47:00.000000,2021-01-20 09:03:57.000000,1141,240.0,864.0,8740,1920.0,\"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..\",115.0,27,True,2021-01-14 05:58:03.000000,2.0,37.0,nni,,,,,95.0,79.0,https://pypi.org/project/nni,2021-01-14 05:49:34.000000,16.0,1714.0,1714.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n193,AutoKeras,keras-team/autokeras,,hyperopt,https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20.000000,2021-01-04 07:29:18.000000,2021-01-04 07:29:16.000000,1241,59.0,661.0,7704,1232.0,AutoML library for deep learning.,126.0,27,True,2020-11-30 02:43:50.000000,1.0.12,46.0,autokeras,,,,['tensorflow'],148.0,141.0,https://pypi.org/project/autokeras,2020-11-30 02:43:50.000000,7.0,4607.0,4607.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n194,pretrainedmodels,Cadene/pretrained-models.pytorch,,pytorch-utils,https://github.com/Cadene/pretrained-models.pytorch,https://github.com/Cadene/pretrained-models.pytorch,BSD-3-Clause,2017-04-09 15:54:23.000000,2020-06-08 16:06:59.000000,2020-04-16 08:02:22.000000,1606,85.0,87.0,7640,154.0,\"Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.\",22.0,27,True,2018-10-29 08:18:45.000000,0.7.4,16.0,pretrainedmodels,,,,['pytorch'],940.0,836.0,https://pypi.org/project/pretrainedmodels,2018-10-29 08:18:45.000000,104.0,29845.0,29845.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n195,tensorboardX,lanpa/tensorboardX,,ml-experiments,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19.000000,2020-10-14 17:46:25.000000,2020-07-05 17:29:00.000000,774,72.0,341.0,6765,460.0,\"tensorboard for pytorch (and chainer, mxnet, numpy, ...).\",64.0,27,True,2020-07-05 17:54:10.000000,2.0,12.0,tensorboardX,conda-forge/tensorboardx,,,,11162.0,9828.0,https://pypi.org/project/tensorboardX,2019-12-31 14:04:21.000000,1334.0,276761.0,283974.0,https://anaconda.org/conda-forge/tensorboardx,2020-07-06 20:33:55.729000,259457.0,,,,,2.0,291.0,,,,,,,,,,,,,,,,,,,,,,\n196,PyTorch Image Models,rwightman/pytorch-image-models,,image,https://github.com/rwightman/pytorch-image-models,https://github.com/rwightman/pytorch-image-models,Apache-2.0,2019-02-02 05:51:12.000000,2021-01-20 09:57:21.000000,2021-01-06 05:25:40.000000,935,22.0,211.0,6700,648.0,\"PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2,..\",26.0,27,True,2021-01-08 19:51:18.000000,0.3.4,14.0,,,,,['pytorch'],262.0,262.0,,,,,9515.0,,,,,,,,2.0,190304.0,,,,,,,,,,,,,,,,,,,,,,\n197,Pyro,pyro-ppl/pyro,,probabilistics,https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000000,2021-01-20 18:23:55.000000,2021-01-20 01:13:54.000000,781,130.0,679.0,6687,2138.0,Deep universal probabilistic programming with Python and PyTorch.,103.0,27,True,2020-11-17 23:30:42.000000,1.5.1,24.0,pyro-ppl,,,,['pytorch'],400.0,364.0,https://pypi.org/project/pyro-ppl,2020-11-17 23:22:46.000000,36.0,6064.0,6064.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n198,dgl,dmlc/dgl,,graph,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000000,2021-01-21 14:58:26.000000,2021-01-21 07:12:05.000000,1315,215.0,687.0,6542,1512.0,\"Python package built to ease deep learning on graph, on top of existing DL frameworks.\",103.0,27,True,2020-11-30 07:39:12.000000,0.5.3,354.0,dgl,,,,,30.0,,https://pypi.org/project/dgl,2021-01-20 09:22:41.000000,30.0,11793.0,11793.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n199,TensorLayer,tensorlayer/tensorlayer,,reinforcement-learning,https://github.com/tensorlayer/tensorlayer,https://github.com/tensorlayer/tensorlayer,Apache-2.0,2016-06-07 15:55:16.000000,2021-01-06 07:16:21.000000,2021-01-06 02:15:37.000000,1444,48.0,433.0,6462,3309.0,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,128.0,27,True,2021-01-06 07:16:21.000000,2.2.4,82.0,tensorlayer,,,,['tensorflow'],68.0,,https://pypi.org/project/tensorlayer,2020-06-19 00:53:37.000000,68.0,2165.0,2188.0,,,,,,,,2.0,1200.0,,,,,,,,,,,,,,,,,,,,,,\n200,imageai,OlafenwaMoses/ImageAI,,image,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33.000000,2021-01-05 01:31:44.000000,2021-01-05 01:31:12.000000,1601,184.0,405.0,5781,290.0,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,13.0,27,True,2021-01-05 01:26:01.000000,2.1.6,10.0,imageai,,,,,671.0,659.0,https://pypi.org/project/imageai,2021-01-05 01:26:01.000000,12.0,5235.0,21171.0,,,,,,,,2.0,525890.0,,,,,,,,,,,,,,,,,,,,,,\n201,featuretools,alteryx/featuretools,,hyperopt,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17.000000,2021-01-20 21:22:18.000000,2021-01-20 16:40:44.000000,686,111.0,390.0,5348,569.0,An open source python library for automated feature engineering.,49.0,27,True,2020-12-31 21:26:39.000000,0.23.0,63.0,featuretools,conda-forge/featuretools,,,,728.0,658.0,https://pypi.org/project/featuretools,2020-12-31 21:27:46.000000,70.0,56152.0,57888.0,https://anaconda.org/conda-forge/featuretools,2021-01-05 23:32:34.667000,43420.0,,,,,2.0,,,,,,,,,,,,,-1.0,,,,,,,,,,\n202,tsfresh,blue-yonder/tsfresh,,time-series-data,https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17.000000,2021-01-20 18:40:38.000000,2021-01-12 16:57:20.000000,837,33.0,397.0,5310,398.0,Automatic extraction of relevant features from time series:.,71.0,27,True,2020-09-09 21:08:22.000000,0.17.0,26.0,tsfresh,conda-forge/tsfresh,,,['sklearn'],66.0,,https://pypi.org/project/tsfresh,2020-09-09 21:08:22.000000,66.0,155969.0,156662.0,https://anaconda.org/conda-forge/tsfresh,2020-09-10 08:48:19.773000,26354.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n203,faust,robinhood/faust,,data-pipelines,https://github.com/robinhood/faust,https://github.com/robinhood/faust,BSD-3-Clause,2017-03-08 18:36:11.000000,2021-01-21 01:53:26.000000,2020-10-09 12:59:42.000000,424,225.0,220.0,5228,4137.0,Python Stream Processing.,91.0,27,True,2020-02-25 22:57:18.000000,1.10.4,46.0,faust,,,,,622.0,594.0,https://pypi.org/project/faust,2020-02-25 22:57:18.000000,28.0,50140.0,50140.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n204,PDFMiner,euske/pdfminer,,data-loading,https://github.com/euske/pdfminer,https://github.com/euske/pdfminer,MIT,2010-12-12 12:50:22.000000,2021-01-18 18:11:24.661000,2020-01-18 07:00:32.000000,1024,222.0,39.0,4484,540.0,Python PDF Parser (Not actively maintained). Check out pdfminer.six.,28.0,27,True,,,24.0,pdfminer,conda-forge/pdfminer,,,,3464.0,1998.0,https://pypi.org/project/pdfminer,2019-11-25 12:02:21.000000,1466.0,164764.0,165017.0,https://anaconda.org/conda-forge/pdfminer,2021-01-18 18:11:24.661000,13452.0,,,,,3.0,,,,,,,,,,,,,1.0,,,,,,,,,,\n205,csvkit,wireservice/csvkit,,data-loading,https://github.com/wireservice/csvkit,https://github.com/wireservice/csvkit,MIT,2011-04-01 03:00:30.000000,2020-10-30 01:59:33.000000,2020-10-30 01:59:29.000000,535,56.0,743.0,4453,1693.0,\"A suite of utilities for converting to and working with CSV, the king of tabular file formats.\",91.0,27,True,2020-03-03 03:00:28.000000,1.0.5,33.0,csvkit,conda-forge/csvkit,,,,1508.0,806.0,https://pypi.org/project/csvkit,2020-03-03 03:00:28.000000,702.0,23816.0,24793.0,https://anaconda.org/conda-forge/csvkit,2019-05-28 12:30:50.171000,44973.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n206,snorkel,snorkel-team/snorkel,,data-loading,https://github.com/snorkel-team/snorkel,https://github.com/snorkel-team/snorkel,Apache-2.0,2016-02-26 05:52:45.000000,2020-10-02 14:30:46.000000,2020-09-05 21:24:32.000000,712,29.0,912.0,4412,2646.0,A system for quickly generating training data with weak supervision.,62.0,27,True,2020-08-09 03:07:36.000000,0.9.6,17.0,snorkel,conda-forge/snorkel,,,,70.0,66.0,https://pypi.org/project/snorkel,2020-04-07 01:35:21.000000,4.0,61065.0,61916.0,https://anaconda.org/conda-forge/snorkel,2020-04-10 13:08:54.445000,15142.0,,,,,3.0,487.0,,,,,,,,,,,,,,,,,,,,,,\n207,skorch,skorch-dev/skorch,,ml-frameworks,https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000000,2021-01-19 17:04:50.000000,2020-12-25 23:01:18.000000,271,48.0,317.0,3738,935.0,A scikit-learn compatible neural network library that wraps PyTorch.,39.0,27,True,2020-08-30 10:46:40.000000,0.9.0,12.0,skorch,conda-forge/skorch,,,\"['pytorch', 'sklearn']\",268.0,255.0,https://pypi.org/project/skorch,2020-08-30 10:43:37.000000,13.0,5729.0,11619.0,https://anaconda.org/conda-forge/skorch,2020-09-19 04:12:07.576000,164938.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n208,OCRmyPDF,jbarlow83/OCRmyPDF,,ocr,https://github.com/jbarlow83/OCRmyPDF,https://github.com/jbarlow83/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000000,2021-01-10 01:28:23.000000,2021-01-10 00:48:40.000000,421,85.0,562.0,3707,2823.0,\"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.\",49.0,27,True,2021-01-10 01:28:23.000000,11.5.0,158.0,ocrmypdf,,,,,118.0,106.0,https://pypi.org/project/ocrmypdf,2021-01-10 01:28:23.000000,12.0,12071.0,12071.0,,,,,,,,2.0,,,,,,,,,,ocrmypdf,ocrmypdf,,,,,,,,,,,,\n209,lightfm,lyst/lightfm,,recommender-systems,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00.000000,2021-01-18 12:21:32.000000,2020-11-27 19:54:37.000000,561,127.0,274.0,3460,404.0,\"A Python implementation of LightFM, a hybrid recommendation algorithm.\",42.0,27,True,2020-11-27 19:48:30.000000,1.16,14.0,lightfm,conda-forge/lightfm,,,,408.0,380.0,https://pypi.org/project/lightfm,2020-11-27 19:55:08.000000,28.0,85883.0,87887.0,https://anaconda.org/conda-forge/lightfm,2020-12-07 16:07:27.944000,72157.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n210,InterpretML,interpretml/interpret,,interpretability,https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000000,2021-01-20 02:11:36.000000,2021-01-20 01:15:51.000000,428,44.0,119.0,3396,1488.0,Fit interpretable models. Explain blackbox machine learning.,23.0,27,True,2021-01-20 02:12:33.000000,0.2.4,34.0,interpret,,,,['jupyter'],62.0,60.0,https://pypi.org/project/interpret,2021-01-20 02:10:35.000000,2.0,9551.0,9551.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n211,Ignite,pytorch/ignite,,ml-frameworks,https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000000,2021-01-20 23:36:17.000000,2021-01-20 13:05:05.000000,405,98.0,600.0,3214,855.0,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,118.0,27,True,2020-09-20 20:00:28.000000,0.4.2,442.0,pytorch-ignite,pytorch/ignite,,,['pytorch'],765.0,703.0,https://pypi.org/project/pytorch-ignite,2021-01-19 01:08:31.000000,62.0,35077.0,36751.0,https://anaconda.org/pytorch/ignite,2020-09-20 20:00:11.134000,51899.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n212,Alpha Vantage,RomelTorres/alpha_vantage,,financial-data,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00.000000,2021-01-14 16:42:33.000000,2020-12-21 19:51:57.000000,547,16.0,206.0,3020,497.0,A python wrapper for Alpha Vantage API for financial data.,36.0,27,True,2020-12-21 02:37:29.000000,2.3.1,28.0,alpha_vantage,,,,,202.0,,https://pypi.org/project/alpha_vantage,2018-08-26 18:55:11.000000,202.0,18145.0,18145.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n213,Dagster,dagster-io/dagster,,data-pipelines,https://github.com/dagster-io/dagster,https://github.com/dagster-io/dagster,Apache-2.0,2018-04-30 16:30:04.000000,2021-01-21 03:18:41.000000,2021-01-21 03:18:37.000000,273,600.0,1822.0,2791,6413.0,\"A data orchestrator for machine learning, analytics, and ETL.\",110.0,27,True,2021-01-15 01:23:34.000000,0.10.0,226.0,dagster,conda-forge/dagster,,,,137.0,133.0,https://pypi.org/project/dagster,2021-01-15 01:23:34.000000,4.0,22160.0,31135.0,https://anaconda.org/conda-forge/dagster,2020-12-04 14:42:14.711000,125656.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n214,missingno,ResidentMario/missingno,,data-viz,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50.000000,2020-12-28 16:13:39.000000,2020-12-28 16:13:38.000000,331,15.0,87.0,2610,170.0,Missing data visualization module for Python.,15.0,27,True,2019-07-09 16:03:51.000000,0.4.2,21.0,missingno,conda-forge/missingno,,,,2766.0,2690.0,https://pypi.org/project/missingno,2018-06-29 16:25:00.000000,76.0,151228.0,152873.0,https://anaconda.org/conda-forge/missingno,2020-02-15 10:07:41.253000,69107.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n215,GluonNLP,dmlc/gluon-nlp,,nlp,https://github.com/dmlc/gluon-nlp,https://github.com/dmlc/gluon-nlp,Apache-2.0,2018-04-04 20:57:13.000000,2021-01-21 14:02:06.000000,2021-01-19 16:39:57.000000,490,227.0,285.0,2208,810.0,\"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..\",78.0,27,True,2020-08-13 19:16:27.000000,0.10.0,25.0,gluonnlp,,,,['mxnet'],389.0,378.0,https://pypi.org/project/gluonnlp,2020-08-13 01:28:51.000000,11.0,30538.0,30538.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n216,Jina,jina-ai/jina,,nlp,https://github.com/jina-ai/jina,https://github.com/jina-ai/jina,Apache-2.0,2020-02-13 17:04:44.000000,2021-01-21 14:20:57.000000,2021-01-21 13:50:45.000000,318,45.0,561.0,1906,4560.0,An easier way to build neural search in the cloud.,82.0,27,True,2021-01-20 00:53:33.000000,0.9.18,174.0,jina,,jinaai/jina,,,45.0,45.0,https://pypi.org/project/jina,2021-01-20 17:37:37.000000,,1941.0,9138.0,,,,https://hub.docker.com/r/jinaai/jina,2021-01-21 11:51:49.819903,,79168.0,2.0,,,,,,,,,,,,,,,,,,,,,,,\n217,hdbscan,scikit-learn-contrib/hdbscan,,others,https://github.com/scikit-learn-contrib/hdbscan,https://github.com/scikit-learn-contrib/hdbscan,BSD-3-Clause,2015-04-22 13:32:37.000000,2021-01-18 18:00:07.000000,2021-01-18 18:00:05.000000,337,224.0,143.0,1795,869.0,A high performance implementation of HDBSCAN clustering.,65.0,27,True,2020-03-19 19:19:04.000000,0.8.26,42.0,hdbscan,conda-forge/hdbscan,,,['sklearn'],833.0,709.0,https://pypi.org/project/hdbscan,2020-03-19 19:19:04.000000,124.0,99060.0,108534.0,https://anaconda.org/conda-forge/hdbscan,2020-11-02 02:54:21.050000,511631.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n218,TF-Agents,tensorflow/agents,,reinforcement-learning,https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000000,2021-01-19 19:05:43.000000,2021-01-19 19:04:55.000000,454,99.0,308.0,1766,1594.0,TF-Agents is a library for Reinforcement Learning in TensorFlow.,84.0,27,True,2021-01-05 18:41:58.000000,0.7.1,18.0,tf-agents,,,,['tensorflow'],367.0,355.0,https://pypi.org/project/tf-agents,2021-01-05 18:41:58.000000,12.0,7308.0,7308.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n219,ta,bukosabino/ta,,financial-data,https://github.com/bukosabino/ta,https://github.com/bukosabino/ta,MIT,2018-01-02 18:08:48.000000,2021-01-19 16:18:45.000000,2020-11-29 21:08:14.000000,449,60.0,82.0,1740,582.0,Technical Analysis Library using Pandas and Numpy.,23.0,27,True,2020-11-17 08:01:47.000000,0.7.0,49.0,ta,,,,,412.0,406.0,https://pypi.org/project/ta,2020-11-29 10:49:09.000000,6.0,26696.0,26696.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n220,filterpy,rlabbe/filterpy,,probabilistics,https://github.com/rlabbe/filterpy,https://github.com/rlabbe/filterpy,MIT,2014-07-15 02:15:19.000000,2021-01-05 02:45:44.000000,2021-01-04 03:55:54.000000,401,21.0,146.0,1643,528.0,\"Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman..\",33.0,27,True,2018-10-10 22:38:24.000000,1.4.5,48.0,filterpy,conda-forge/filterpy,,,,898.0,686.0,https://pypi.org/project/filterpy,2018-10-10 22:38:24.000000,212.0,14788.0,16086.0,https://anaconda.org/conda-forge/filterpy,2020-05-05 21:13:59.073000,55815.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n221,textacy,chartbeat-labs/textacy,,nlp,https://github.com/chartbeat-labs/textacy,https://github.com/chartbeat-labs/textacy,Apache-2.0,2016-02-03 16:52:45.000000,2021-01-10 22:37:28.000000,2021-01-09 19:21:48.000000,211,30.0,194.0,1592,1332.0,\"NLP, before and after spaCy.\",29.0,27,True,2020-08-29 20:51:05.000000,0.10.1,29.0,textacy,conda-forge/textacy,,,,77.0,,https://pypi.org/project/textacy,2020-08-29 20:51:28.000000,77.0,18220.0,19896.0,https://anaconda.org/conda-forge/textacy,2020-11-19 15:32:56.211000,73773.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n222,Cartopy,mapbox/rasterio,,geospatial-data,https://github.com/mapbox/rasterio,https://github.com/mapbox/rasterio,LGPL-3.0,2013-11-04 16:36:27.000000,2021-01-20 19:03:59.000000,2021-01-20 19:03:10.000000,390,135.0,1192.0,1418,3252.0,Rasterio reads and writes geospatial raster datasets.,110.0,27,False,2018-11-17 07:43:32.000000,0.17.0,18.0,Cartopy,conda-forge/cartopy,,,,2798.0,2625.0,https://pypi.org/project/Cartopy,2020-04-27 04:57:38.000000,173.0,9949.0,32590.0,https://anaconda.org/conda-forge/cartopy,2020-12-21 22:49:27.196000,1312625.0,,,,,3.0,702.0,,,,,,,,,,,,,,,,,,,,,,\n223,datasketch,ekzhu/datasketch,,data-containers,https://github.com/ekzhu/datasketch,https://github.com/ekzhu/datasketch,MIT,2015-03-20 01:21:46.000000,2020-12-23 21:01:58.000000,2020-12-23 21:00:36.000000,199,19.0,91.0,1414,193.0,\"MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble.\",16.0,27,True,2020-12-15 20:59:57.000000,1.5.2,74.0,datasketch,,,,,333.0,247.0,https://pypi.org/project/datasketch,2020-12-15 20:59:57.000000,86.0,176774.0,176774.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,,,,,\n224,Flax,google/flax,,ml-frameworks,https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000000,2021-01-21 09:32:41.000000,2021-01-21 09:24:21.000000,161,164.0,127.0,1394,1473.0,Flax is a neural network ecosystem for JAX that is designed for flexibility.,70.0,27,True,2020-12-08 15:14:03.000000,0.3.0,9.0,flax,,,,['jax'],95.0,89.0,https://pypi.org/project/flax,2020-12-08 15:14:03.000000,6.0,47953.0,47955.0,,,,,,,,3.0,20.0,,,,,,,,,,,,,,,,,,,,,,\n225,pyLDAvis,bmabey/pyLDAvis,,interpretability,https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03.000000,2021-01-15 12:17:17.000000,2020-12-02 18:10:12.000000,289,91.0,56.0,1385,218.0,Python library for interactive topic model visualization. Port of the R LDAvis package.,31.0,27,True,2018-06-05 18:55:56.000000,2.1.2,17.0,pyldavis,conda-forge/pyldavis,,,['jupyter'],1806.0,1707.0,https://pypi.org/project/pyldavis,2018-06-05 18:55:56.000000,99.0,57569.0,58242.0,https://anaconda.org/conda-forge/pyldavis,2018-06-22 21:16:15.741000,20875.0,,,,,1.0,,,,,,,,,,,,,-1.0,,,,,,,,,,\n226,GPflow,GPflow/GPflow,,probabilistics,https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000000,2021-01-18 15:34:44.000000,2021-01-13 16:31:51.000000,389,86.0,600.0,1368,2203.0,Gaussian processes in TensorFlow.,68.0,27,True,2020-12-01 12:59:03.000000,2.1.4,28.0,gpflow,conda-forge/gpflow,,,['tensorflow'],228.0,211.0,https://pypi.org/project/gpflow,2020-12-01 13:12:15.000000,17.0,1879.0,2128.0,https://anaconda.org/conda-forge/gpflow,2018-11-06 08:51:39.744000,7991.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n227,PyCUDA,inducer/pycuda,,gpu-utilities,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000000,2021-01-04 20:15:46.000000,2021-01-04 20:12:30.000000,214,40.0,122.0,1076,1449.0,\"CUDA integration for Python, plus shiny features.\",68.0,27,True,2019-08-12 04:15:37.000000,2019.1.2,46.0,pycuda,,,,,1006.0,714.0,https://pypi.org/project/pycuda,2020-10-07 21:59:52.000000,292.0,11656.0,11656.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n228,ipyleaflet,jupyter-widgets/ipyleaflet,,geospatial-data,https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10.000000,2021-01-18 18:18:47.000000,2021-01-18 18:18:46.000000,278,130.0,249.0,1071,905.0,A Jupyter - Leaflet.js bridge.,63.0,27,True,2021-01-05 16:38:38.000000,0.13.6,70.0,ipyleaflet,conda-forge/ipyleaflet,,,['jupyter'],771.0,671.0,https://pypi.org/project/ipyleaflet,2021-01-05 16:38:38.000000,98.0,11841.0,148590.0,https://anaconda.org/conda-forge/ipyleaflet,2021-01-16 23:51:37.383000,579385.0,,,,,3.0,,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2021-01-05 16:30:30.235000,2.0,126403.0,,,,,,,,,,,,,,,,\n229,Model Analysis,tensorflow/model-analysis,,interpretability,https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000000,2021-01-19 20:16:34.000000,2021-01-19 20:16:28.000000,203,22.0,32.0,1029,882.0,Model analysis tools for TensorFlow.,33.0,27,True,2020-12-16 20:56:20.000000,0.26.0,33.0,tensorflow-model-analysis,,,,\"['tensorflow', 'jupyter']\",10.0,,https://pypi.org/project/tensorflow-model-analysis,2020-12-16 20:56:20.000000,10.0,5802218.0,5802218.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n230,PyStan,stan-dev/pystan,,probabilistics,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,GPL-3.0,2013-05-24 01:21:21.000000,2021-01-16 16:17:38.000000,2020-11-21 11:22:43.000000,192,66.0,425.0,910,867.0,\"PyStan, the Python interface to Stan.\",54.0,27,False,2020-10-16 20:20:46.000000,2.19.1.1-codes,55.0,pystan,conda-forge/pystan,,,,2778.0,2436.0,https://pypi.org/project/pystan,2021-01-16 16:17:38.000000,342.0,657440.0,675830.0,https://anaconda.org/conda-forge/pystan,2020-08-25 22:40:14.631000,845895.0,,,,,2.0,89.0,,,,,,,,,,,,,,,,,,,,,,\n231,petl,petl-developers/petl,,data-pipelines,https://github.com/petl-developers/petl,https://github.com/petl-developers/petl,MIT,2011-08-19 09:51:03.000000,2021-01-18 23:47:37.000000,2021-01-18 23:47:36.000000,151,66.0,342.0,814,1121.0,Python Extract Transform and Load Tables of Data.,44.0,27,True,2020-12-29 02:39:53.000000,1.7.1,74.0,petl,conda-forge/petl,,http://petl.readthedocs.org,,427.0,313.0,https://pypi.org/project/petl,2020-10-06 00:03:28.000000,114.0,12342.0,12712.0,https://anaconda.org/conda-forge/petl,2020-12-29 04:11:54.349000,19241.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n232,pyopencl,inducer/pyopencl,,others,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,MIT,2011-04-06 02:51:33.000000,2021-01-21 06:11:37.000000,2021-01-21 06:11:29.000000,200,50.0,207.0,764,2859.0,\"OpenCL integration for Python, plus shiny features.\",82.0,27,True,2020-09-11 21:50:46.000000,2020.3.1,54.0,pyopencl,conda-forge/pyopencl,,,,685.0,447.0,https://pypi.org/project/pyopencl,2020-11-20 05:22:46.000000,238.0,4670.0,10563.0,https://anaconda.org/conda-forge/pyopencl,2021-01-13 12:06:30.189000,300564.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n233,igraph,igraph/python-igraph,,graph,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16.000000,2021-01-21 09:30:31.000000,2021-01-21 09:30:29.000000,180,25.0,255.0,760,1511.0,Python interface for igraph.,48.0,27,False,2020-10-08 14:50:52.000000,0.8.3,18.0,python-igraph,conda-forge/igraph,,,,1822.0,1398.0,https://pypi.org/project/python-igraph,2020-04-28 17:45:27.000000,424.0,48556.0,53444.0,https://anaconda.org/conda-forge/igraph,2021-01-05 11:05:57.682000,193946.0,,,,,1.0,41566.0,,,,,,,,,,,,,,,,,,,,,,\n234,patsy,pydata/patsy,,probabilistics,https://github.com/pydata/patsy,https://github.com/pydata/patsy,BSD-2-Clause,2012-07-10 12:30:06.000000,2020-09-09 13:00:29.000000,2018-10-31 21:55:48.000000,85,78.0,51.0,734,517.0,Describing statistical models in Python using symbolic formulas.,13.0,27,False,2018-10-28 05:07:55.000000,0.5.1,8.0,patsy,conda-forge/patsy,,,,33887.0,28963.0,https://pypi.org/project/patsy,2018-10-28 03:59:51.000000,4924.0,1256244.0,1302856.0,https://anaconda.org/conda-forge/patsy,2018-10-28 05:21:35.412000,2470488.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n235,zarr,zarr-developers/zarr-python,,data-containers,https://github.com/zarr-developers/zarr-python,https://github.com/zarr-developers/zarr-python,MIT,2015-12-15 14:49:40.000000,2021-01-20 18:14:00.000000,2021-01-04 03:08:50.000000,107,179.0,228.0,624,1374.0,\"An implementation of chunked, compressed, N-dimensional arrays for Python.\",35.0,27,True,2020-12-02 18:33:13.000000,2.6.1,31.0,zarr,conda-forge/zarr,,,,593.0,521.0,https://pypi.org/project/zarr,2020-12-02 18:33:13.000000,72.0,73067.0,82464.0,https://anaconda.org/conda-forge/zarr,2020-12-03 02:31:13.848000,526272.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n236,geojson,jazzband/geojson,,geospatial-data,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48.000000,2020-11-25 21:55:02.000000,2020-11-25 19:10:27.000000,78,18.0,50.0,592,445.0,Python bindings and utilities for GeoJSON.,44.0,27,True,2019-08-09 20:32:15.000000,2.5.0,28.0,geojson,conda-forge/geojson,,,,7216.0,5612.0,https://pypi.org/project/geojson,2019-08-09 20:32:15.000000,1604.0,365647.0,371862.0,https://anaconda.org/conda-forge/geojson,2019-08-11 12:10:34.426000,360527.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n237,data-validation,tensorflow/data-validation,,data-viz,https://github.com/tensorflow/data-validation,https://github.com/tensorflow/data-validation,Apache-2.0,2018-07-02 15:47:02.000000,2021-01-15 17:09:56.000000,2021-01-15 17:09:49.000000,94,38.0,72.0,503,554.0,Library for exploring and validating machine learning data.,20.0,27,True,2020-12-17 00:43:02.000000,0.26.0,23.0,tensorflow-data-validation,,,,\"['tensorflow', 'jupyter']\",238.0,220.0,https://pypi.org/project/tensorflow-data-validation,2020-12-17 00:43:02.000000,18.0,5963837.0,5963843.0,,,,,,,,2.0,195.0,,,,,,,,,,,,,,,,,,,,,,\n238,audioread,beetbox/audioread,,audio,https://github.com/beetbox/audioread,https://github.com/beetbox/audioread,MIT,2011-11-08 19:53:18.000000,2020-12-08 20:08:37.201000,2020-10-20 11:22:05.000000,83,31.0,44.0,358,232.0,cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python.,20.0,27,True,2020-10-20 11:23:09.000000,2.1.9,25.0,audioread,conda-forge/audioread,,,,4563.0,3977.0,https://pypi.org/project/audioread,2020-10-20 11:23:09.000000,586.0,254922.0,258490.0,https://anaconda.org/conda-forge/audioread,2020-12-08 20:08:37.201000,192707.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n239,detectron2,facebookresearch/detectron2,,image,https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000000,2021-01-21 09:49:53.000000,2021-01-21 09:49:46.000000,3701,98.0,2114.0,14591,915.0,Detectron2 is FAIR's next-generation platform for object detection and segmentation.,140.0,26,True,2020-11-06 03:20:56.000000,0.3,7.0,,conda-forge/detectron2,,,['pytorch'],152.0,152.0,,,,,1535.0,https://anaconda.org/conda-forge/detectron2,2020-08-05 13:27:52.058000,12280.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n240,Streamlit,streamlit/streamlit,,others,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000000,2021-01-21 14:51:52.000000,2021-01-21 00:17:50.000000,1061,536.0,938.0,12721,,Streamlit The fastest way to build data apps in Python.,85.0,26,True,2021-01-07 22:00:44.000000,0.74.1,122.0,streamlit,,,,,83.0,49.0,https://pypi.org/project/streamlit,2021-01-07 22:01:03.000000,34.0,100171.0,100171.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n241,Dopamine,google/dopamine,,reinforcement-learning,https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36.000000,2021-01-18 19:27:24.000000,2021-01-18 19:26:47.000000,1225,72.0,69.0,9281,212.0,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,13.0,26,True,2020-10-16 22:05:03.000000,3.1.8,34.0,dopamine-rl,,,,['tensorflow'],31.0,,https://pypi.org/project/dopamine-rl,2020-10-16 22:05:03.000000,31.0,51723.0,51723.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n242,InsightFace,deepinsight/insightface,,image,https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,MIT,2017-09-01 00:36:51.000000,2021-01-20 11:21:14.000000,2021-01-20 11:21:13.000000,2905,701.0,647.0,8425,1474.0,Face Analysis Project on MXNet.,15.0,26,True,2019-09-07 13:47:11.000000,0.1.5,6.0,insightface,,,,['mxnet'],52.0,51.0,https://pypi.org/project/insightface,2019-09-07 13:47:11.000000,1.0,3032.0,3032.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n243,PySyft,OpenMined/PySyft,,privacy-ml,https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,MIT,2017-07-18 20:41:16.000000,2021-01-21 14:55:02.000000,2021-01-20 06:53:53.000000,1538,176.0,2456.0,6778,6515.0,A library for answering questions using data you cannot see.,334.0,26,True,2020-11-12 19:57:33.000000,0.3.0,48.0,syft,,,,['pytorch'],3.0,,https://pypi.org/project/syft,2020-09-14 15:03:40.000000,3.0,1619.0,1619.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n244,carla,carla-simulator/carla,,others,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000000,2021-01-21 13:49:14.000000,2020-12-22 22:54:58.000000,1607,289.0,2636.0,5498,4756.0,Open-source simulator for autonomous driving research.,122.0,26,True,2020-12-23 07:08:35.000000,0.9.11,22.0,carla,,,,,57.0,55.0,https://pypi.org/project/carla,2019-04-28 17:45:24.000000,2.0,456.0,456.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n245,backtrader,mementum/backtrader,,financial-data,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52.000000,2021-01-16 16:35:49.000000,2020-07-03 12:52:48.000000,1726,18.0,,5452,2381.0,Python Backtesting library for trading strategies.,50.0,26,False,,,155.0,backtrader,,,,,495.0,425.0,https://pypi.org/project/backtrader,2020-07-03 13:02:14.000000,70.0,21320.0,21320.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n246,auto-sklearn,automl/auto-sklearn,,hyperopt,https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10.000000,2021-01-21 14:47:43.000000,2021-01-04 13:37:04.000000,971,120.0,556.0,5164,2402.0,Automated Machine Learning with scikit-learn.,63.0,26,True,2021-01-04 14:13:00.000000,0.12.1,26.0,auto-sklearn,,,,['sklearn'],158.0,128.0,https://pypi.org/project/auto-sklearn,2021-01-04 14:13:00.000000,30.0,6289.0,6289.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n247,DeepPavlov,deepmipt/DeepPavlov,,nlp,https://github.com/deepmipt/DeepPavlov,https://github.com/deepmipt/DeepPavlov,Apache-2.0,2017-11-17 14:35:29.000000,2021-01-21 14:43:32.000000,2020-12-24 16:30:15.000000,891,80.0,447.0,4956,2579.0,An open source library for deep learning end-to-end dialog systems and chatbots.,61.0,26,True,2020-12-24 16:35:56.000000,0.14.0,41.0,deeppavlov,,,,['tensorflow'],170.0,166.0,https://pypi.org/project/deeppavlov,2020-12-24 16:33:49.000000,4.0,4054.0,4054.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n248,keras-rl,keras-rl/keras-rl,,reinforcement-learning,https://github.com/keras-rl/keras-rl,https://github.com/keras-rl/keras-rl,MIT,2016-07-02 15:53:12.000000,2020-11-20 07:32:13.000000,2019-11-11 22:14:54.000000,1284,39.0,211.0,4926,308.0,Deep Reinforcement Learning for Keras.,40.0,26,False,2018-06-01 07:52:24.000000,0.4.2,8.0,keras-rl,,,,['tensorflow'],498.0,447.0,https://pypi.org/project/keras-rl,2018-06-01 07:52:24.000000,51.0,1394.0,1394.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n249,Bayesian Optimization,fmfn/BayesianOptimization,,hyperopt,https://github.com/fmfn/BayesianOptimization,https://github.com/fmfn/BayesianOptimization,MIT,2014-06-06 08:18:56.000000,2020-12-24 10:51:12.000000,2020-12-19 01:11:23.000000,1080,35.0,164.0,4812,199.0,A Python implementation of global optimization with gaussian processes.,27.0,26,True,2020-05-16 16:03:51.000000,1.2.0,8.0,bayesian-optimization,,,,,663.0,571.0,https://pypi.org/project/bayesian-optimization,2020-05-16 15:56:09.000000,92.0,45591.0,45592.0,,,,,,,,2.0,46.0,,,,,,,,,,,,,,,,,,,,,,\n250,scikit-surprise,NicolasHug/Surprise,,recommender-systems,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38.000000,2020-10-13 01:22:58.850000,2020-08-05 17:45:59.000000,816,35.0,285.0,4635,622.0,A Python scikit for building and analyzing recommender systems.,38.0,26,True,2020-07-19 14:50:48.000000,1.1.1,9.0,scikit-surprise,conda-forge/scikit-surprise,,,,891.0,867.0,https://pypi.org/project/scikit-surprise,2020-07-19 14:50:48.000000,24.0,35004.0,39223.0,https://anaconda.org/conda-forge/scikit-surprise,2020-10-13 01:22:58.850000,151893.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n251,Datasette,simonw/datasette,,others,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000000,2021-01-19 20:56:47.000000,2021-01-19 20:50:12.000000,241,213.0,737.0,4565,1556.0,An open source multi-tool for exploring and publishing data.,42.0,26,True,2020-12-11 01:46:44.000000,0.53,88.0,datasette,,,,,408.0,338.0,https://pypi.org/project/datasette,2021-01-19 20:56:47.000000,70.0,4038.0,4038.0,,,,,,,,2.0,24.0,,,,,,,,,datasette,,,,,,,,,,,,,\n252,librosa,librosa/librosa,,audio,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000000,2020-10-19 21:24:48.000000,2020-09-11 13:58:44.000000,678,54.0,780.0,4231,,Python library for audio and music analysis.,80.0,26,True,2020-07-22 01:34:55.000000,0.8.0,28.0,librosa,conda-forge/librosa,,,,10720.0,8970.0,https://pypi.org/project/librosa,2020-07-22 01:34:55.000000,1750.0,274512.0,278998.0,https://anaconda.org/conda-forge/librosa,2020-07-22 10:27:18.402000,242281.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n253,Metaflow,Netflix/metaflow,,ml-experiments,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000000,2021-01-19 19:15:35.000000,2021-01-19 19:13:09.000000,310,107.0,139.0,4000,181.0,Build and manage real-life data science projects with ease.,28.0,26,True,2020-11-11 10:43:10.000000,2.2.5,14.0,metaflow,conda-forge/metaflow,,,,101.0,100.0,https://pypi.org/project/metaflow,2020-10-29 00:11:07.000000,1.0,34687.0,35463.0,https://anaconda.org/conda-forge/metaflow,2020-11-12 08:15:24.353000,10089.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n254,mlpack,mlpack/mlpack,,ml-frameworks,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59.000000,2021-01-21 14:50:43.000000,2021-01-18 18:20:27.000000,1285,156.0,1190.0,3534,25796.0,mlpack: a scalable C++ machine learning library --.,262.0,26,True,2020-10-28 18:28:47.000000,3.4.2,40.0,mlpack,conda-forge/mlpack,,,,,,https://pypi.org/project/mlpack,2020-10-28 18:28:47.000000,,174.0,2261.0,https://anaconda.org/conda-forge/mlpack,2020-10-29 09:35:18.918000,62638.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n255,sktime,alan-turing-institute/sktime,,time-series-data,https://github.com/alan-turing-institute/sktime,https://github.com/alan-turing-institute/sktime,BSD-3-Clause,2018-11-06 15:08:24.000000,2021-01-20 17:55:23.000000,2021-01-20 17:55:21.000000,424,100.0,221.0,3470,1671.0,A unified framework for machine learning with time series.,73.0,26,True,2021-01-13 10:44:56.000000,0.5.2,11.0,sktime,,,,['sklearn'],94.0,94.0,https://pypi.org/project/sktime,2020-12-29 22:15:58.000000,0.0,7564.0,7566.0,,,,,,,,2.0,41.0,,,,,,,,,,,,,,,,,,,,,,\n256,Perspective,finos/perspective,,data-viz,https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000000,2021-01-20 21:48:57.000000,2021-01-19 22:57:56.000000,339,72.0,300.0,3126,4306.0,Streaming pivot visualization via WebAssembly.,61.0,26,True,2021-01-14 04:18:20.000000,0.6.0,39.0,perspective-python,,,,['jupyter'],171.0,167.0,https://pypi.org/project/perspective-python,2021-01-14 04:18:20.000000,4.0,480.0,1507.0,,,,,,,,3.0,,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2021-01-08 07:02:49.503000,,1027.0,,,,,,,,,,,,,,,,\n257,yellowbrick,DistrictDataLabs/yellowbrick,,interpretability,https://github.com/DistrictDataLabs/yellowbrick,https://github.com/DistrictDataLabs/yellowbrick,Apache-2.0,2016-05-18 14:12:17.000000,2021-01-15 19:33:04.000000,2021-01-15 19:32:11.000000,473,88.0,511.0,3073,831.0,Visual analysis and diagnostic tools to facilitate machine learning model selection.,95.0,26,True,2021-01-15 19:35:31.000000,1.2.1,20.0,yellowbrick,,,,['sklearn'],62.0,,https://pypi.org/project/yellowbrick,2020-10-09 19:35:00.000000,62.0,53158.0,53158.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n258,textract,deanmalmgren/textract,,data-loading,https://github.com/deanmalmgren/textract,https://github.com/deanmalmgren/textract,MIT,2014-07-03 20:36:59.000000,2021-01-18 14:04:17.000000,2019-11-14 08:37:39.000000,424,84.0,121.0,2935,556.0,extract text from any document. no muss. no fuss.,30.0,26,False,2019-08-26 15:05:53.000000,1.6.3,15.0,textract,conda-forge/textract,,,,192.0,,https://pypi.org/project/textract,2019-08-26 15:05:53.000000,192.0,17621.0,17819.0,https://anaconda.org/conda-forge/textract,2017-03-20 21:15:33.254000,10304.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n259,AutoGluon,awslabs/autogluon,,hyperopt,https://github.com/awslabs/autogluon,https://github.com/awslabs/autogluon,Apache-2.0,2019-07-29 18:51:24.000000,2021-01-21 02:40:50.000000,2021-01-21 00:49:56.000000,380,152.0,218.0,2922,478.0,\"AutoGluon: AutoML for Text, Image, and Tabular Data.\",50.0,26,True,2020-12-08 19:01:22.000000,0.0.15,302.0,autogluon,,,,['mxnet'],44.0,44.0,https://pypi.org/project/autogluon,2021-01-20 09:50:31.000000,0.0,19458.0,19458.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n260,ftfy,LuminosoInsight/python-ftfy,,nlp,https://github.com/LuminosoInsight/python-ftfy,https://github.com/LuminosoInsight/python-ftfy,MIT,2012-08-24 16:14:59.000000,2021-01-20 08:08:09.562000,2020-07-17 21:21:57.000000,101,15.0,92.0,2879,510.0,\"Fixes mojibake and other glitches in Unicode text, after the fact.\",17.0,26,True,2020-02-18 16:42:00.000000,5.6.1,41.0,ftfy,conda-forge/ftfy,,,,3402.0,2642.0,https://pypi.org/project/ftfy,2020-07-20 21:50:51.000000,760.0,249703.0,251787.0,https://anaconda.org/conda-forge/ftfy,2021-01-20 08:08:09.562000,93781.0,,,,,2.0,,,,,,,,,,,,,1.0,,,,,,,,,,\n261,pomegranate,jmschrei/pomegranate,,probabilistics,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000000,2021-01-12 17:45:04.000000,2021-01-09 22:21:18.000000,459,32.0,538.0,2572,870.0,\"Fast, flexible and easy to use probabilistic modelling in Python.\",61.0,26,True,2020-07-12 21:28:17.000000,0.14.0,61.0,pomegranate,conda-forge/pomegranate,,,,438.0,382.0,https://pypi.org/project/pomegranate,2021-01-09 22:24:27.000000,56.0,19686.0,22039.0,https://anaconda.org/conda-forge/pomegranate,2020-11-01 16:22:04.857000,42356.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n262,Catalyst,catalyst-team/catalyst,,ml-experiments,https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13.000000,2021-01-21 11:16:33.000000,2021-01-21 11:13:00.000000,268,18.0,260.0,2392,1469.0,Accelerated deep learning R&D.,81.0,26,True,2020-12-20 10:12:32.000000,20.12,86.0,catalyst,,,,['pytorch'],308.0,270.0,https://pypi.org/project/catalyst,2020-12-20 10:06:58.000000,38.0,6276.0,6276.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n263,pygal,Kozea/pygal,,graph,https://github.com/Kozea/pygal,https://github.com/Kozea/pygal,LGPL-3.0,2011-09-23 10:17:50.000000,2020-12-24 20:11:00.000000,2020-10-14 16:41:45.000000,380,164.0,240.0,2314,1012.0,PYthon svg GrAph plotting Library.,69.0,26,False,2017-07-05 09:22:41.000000,2.4.0,74.0,pygal,conda-forge/pygal,,,,1152.0,,https://pypi.org/project/pygal,2020-10-14 13:06:35.000000,1152.0,53656.0,53954.0,https://anaconda.org/conda-forge/pygal,2019-06-04 02:55:56.728000,5675.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n264,gpustat,wookayin/gpustat,,gpu-utilities,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43.000000,2021-01-13 04:03:59.000000,2021-01-13 04:00:20.000000,183,20.0,47.0,2188,166.0,A simple command-line utility for querying and monitoring GPU status.,10.0,26,True,2019-07-22 06:37:00.000000,0.6.0,11.0,gpustat,conda-forge/gpustat,,,,636.0,578.0,https://pypi.org/project/gpustat,2021-01-02 05:59:41.000000,58.0,129608.0,130077.0,https://anaconda.org/conda-forge/gpustat,2020-11-24 19:59:04.772000,10331.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n265,Core ML Tools,apple/coremltools,,model-serialisation,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000000,2021-01-13 20:54:15.000000,2021-01-08 03:08:31.000000,319,310.0,305.0,2086,851.0,\"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.\",107.0,26,True,2020-10-10 18:21:00.000000,4.0,27.0,coremltools,,,,,584.0,451.0,https://pypi.org/project/coremltools,2020-10-10 18:16:12.000000,133.0,37756.0,37813.0,,,,,,,,1.0,2313.0,,,,,,,,,,,,,,,,,,,,,,\n266,Cufflinks,santosjorge/cufflinks,,data-viz,https://github.com/santosjorge/cufflinks,https://github.com/santosjorge/cufflinks,MIT,2014-11-19 20:59:33.000000,2020-10-07 16:12:54.000000,2020-10-07 16:12:53.000000,533,81.0,119.0,2062,450.0,Productivity Tools for Plotly + Pandas.,37.0,26,True,2020-03-01 17:42:01.000000,0.17.3,27.0,cufflinks,,,,['pandas'],2785.0,2551.0,https://pypi.org/project/cufflinks,2020-03-01 17:42:01.000000,234.0,45817.0,45817.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n267,aubio,aubio/aubio,,audio,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44.000000,2021-01-19 16:59:52.641000,2021-01-19 09:51:49.000000,293,103.0,172.0,2025,4111.0,a library for audio and music analysis.,24.0,26,False,2019-02-27 09:00:43.000000,0.4.9,10.0,aubio,conda-forge/aubio,,,,225.0,209.0,https://pypi.org/project/aubio,2019-02-08 11:21:02.000000,16.0,1288.0,9546.0,https://anaconda.org/conda-forge/aubio,2021-01-19 16:59:52.641000,379881.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n268,BoTorch,pytorch/botorch,,hyperopt,https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000000,2021-01-20 21:33:23.000000,2021-01-18 18:18:42.000000,173,40.0,113.0,1816,806.0,Bayesian optimization in PyTorch.,50.0,26,True,2020-12-08 06:47:25.000000,0.3.3,16.0,botorch,,,,['pytorch'],74.0,74.0,https://pypi.org/project/botorch,2020-12-08 06:47:25.000000,0.0,24171.0,24171.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n269,PyFunctional,EntilZha/PyFunctional,,data-pipelines,https://github.com/EntilZha/PyFunctional,https://github.com/EntilZha/PyFunctional,MIT,2015-02-05 17:17:51.000000,2021-01-12 19:21:06.000000,2021-01-12 19:14:24.000000,99,2.0,115.0,1769,516.0,Python library for creating data pipelines with chain functional programming.,23.0,26,True,2021-01-12 19:21:07.000000,1.4.3,14.0,pyfunctional,,,,,249.0,249.0,https://pypi.org/project/pyfunctional,2021-01-12 19:14:48.000000,0.0,28093.0,28093.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n270,langid,saffsd/langid.py,,nlp,https://github.com/saffsd/langid.py,https://github.com/saffsd/langid.py,BSD-3-Clause,2011-04-29 00:16:56.000000,2020-01-01 10:49:30.000000,2017-07-15 02:49:17.000000,265,25.0,45.0,1710,242.0,Stand-alone language identification system.,9.0,26,False,2016-04-05 22:34:15.000000,1.1.6,8.0,langid,,,,,841.0,591.0,https://pypi.org/project/langid,2016-04-05 22:34:15.000000,250.0,452204.0,452204.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n271,efficientnet,qubvel/efficientnet,,tensorflow-utils,https://github.com/qubvel/efficientnet,https://github.com/qubvel/efficientnet,Apache-2.0,2019-05-30 20:21:09.000000,2020-12-10 07:02:58.000000,2020-09-15 16:19:36.000000,376,49.0,55.0,1665,64.0,Implementation of EfficientNet model. Keras and TensorFlow Keras.,8.0,26,True,2020-09-15 16:26:00.000000,1.1.1,9.0,efficientnet,,,,['tensorflow'],493.0,491.0,https://pypi.org/project/efficientnet,2020-09-15 16:26:00.000000,2.0,72254.0,79412.0,,,,,,,,2.0,143161.0,,,,,,,,,,,,,,,,,,,,,,\n272,Pythran,serge-sans-paille/pythran,,others,https://github.com/serge-sans-paille/pythran,https://github.com/serge-sans-paille/pythran,BSD-3-Clause,2012-05-29 08:02:14.000000,2021-01-19 16:35:59.000000,2021-01-06 06:16:14.000000,134,99.0,538.0,1498,3309.0,Ahead of Time compiler for numeric kernels.,47.0,26,True,2020-12-09 20:06:55.000000,0.9.8,44.0,pythran,conda-forge/pythran,,,,61.0,48.0,https://pypi.org/project/pythran,2020-12-11 23:02:35.000000,13.0,4718.0,8519.0,https://anaconda.org/conda-forge/pythran,2020-12-15 13:25:04.645000,121658.0,,,,,2.0,,,,,,,,,,,,,1.0,,pythran,python-pythran,,,,,,,\n273,tesserocr,sirfz/tesserocr,,ocr,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36.000000,2021-01-18 20:15:27.000000,2021-01-18 20:15:13.000000,185,60.0,141.0,1385,155.0,A Python wrapper for the tesseract-ocr API.,23.0,26,True,2020-03-17 17:45:44.000000,2.5.1,15.0,tesserocr,conda-forge/tesserocr,,,,498.0,448.0,https://pypi.org/project/tesserocr,2020-03-17 17:45:44.000000,50.0,24508.0,26650.0,https://anaconda.org/conda-forge/tesserocr,2021-01-13 16:38:14.456000,32144.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n274,TFX,tensorflow/tfx,,data-pipelines,https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000000,2021-01-21 07:52:24.000000,2021-01-21 07:52:13.000000,373,200.0,305.0,1292,3039.0,TFX is an end-to-end platform for deploying production ML pipelines.,100.0,26,True,2021-01-06 21:34:50.000000,0.26.0,38.0,tfx,,,,['tensorflow'],4.0,,https://pypi.org/project/tfx,2021-01-06 21:34:50.000000,4.0,103380.0,103380.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n275,agate,wireservice/agate,,others,https://github.com/wireservice/agate,https://github.com/wireservice/agate,MIT,2014-04-25 13:59:09.000000,2020-12-30 20:43:14.000000,2020-04-01 15:40:18.000000,131,54.0,588.0,1026,1355.0,A Python data analysis library that is optimized for humans instead of machines.,47.0,26,True,2018-03-11 14:37:30.000000,1.6.1,24.0,agate,conda-forge/agate,,,,575.0,483.0,https://pypi.org/project/agate,2018-03-11 14:37:30.000000,92.0,147164.0,148427.0,https://anaconda.org/conda-forge/agate,2018-08-19 06:02:58.597000,59367.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n276,TF Model Optimization,tensorflow/model-optimization,,tensorflow-utils,https://github.com/tensorflow/model-optimization,https://github.com/tensorflow/model-optimization,Apache-2.0,2018-10-31 20:34:28.000000,2021-01-21 02:17:54.000000,2021-01-21 02:17:43.000000,212,70.0,89.0,954,476.0,\"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.\",43.0,26,True,2020-09-14 04:46:03.000000,0.5.0,20.0,tensorflow-model-optimization,,,,['tensorflow'],542.0,539.0,https://pypi.org/project/tensorflow-model-optimization,2020-09-14 04:36:08.000000,3.0,51579.0,51579.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n277,pmdarima,alkaline-ml/pmdarima,,time-series-data,https://github.com/alkaline-ml/pmdarima,https://github.com/alkaline-ml/pmdarima,MIT,2017-03-30 14:58:30.000000,2021-01-20 15:57:54.000000,2021-01-20 15:47:36.000000,152,17.0,208.0,800,1023.0,\"A statistical library designed to fill the void in Python's time series analysis capabilities, including the..\",16.0,26,True,2020-12-02 23:17:04.000000,1.8.0,28.0,pmdarima,,,,,700.0,688.0,https://pypi.org/project/pmdarima,2020-12-02 23:17:04.000000,12.0,190186.0,190186.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n278,pyclustering,annoviko/pyclustering,,others,https://github.com/annoviko/pyclustering,https://github.com/annoviko/pyclustering,BSD-3-Clause,2014-02-25 18:59:03.000000,2020-12-08 15:01:28.000000,2020-12-03 10:56:55.000000,185,53.0,583.0,779,2066.0,\"pyclustring is a Python, C++ data mining library.\",26.0,26,True,2020-11-25 22:33:07.000000,0.10.1.2,46.0,pyclustering,conda-forge/pyclustering,,,,208.0,172.0,https://pypi.org/project/pyclustering,2020-11-25 22:41:20.000000,36.0,17279.0,18218.0,https://anaconda.org/conda-forge/pyclustering,2020-11-30 17:36:43.767000,12146.0,,,,,2.0,283.0,,,,,,,,,,,,,,,,,,,,,,\n279,Mesh,tensorflow/mesh,,distributed-ml,https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34.000000,2021-01-19 18:46:52.000000,2021-01-19 18:46:40.000000,122,72.0,12.0,690,576.0,Mesh TensorFlow: Model Parallelism Made Easier.,38.0,26,True,2020-12-17 23:10:07.000000,0.1.18,24.0,mesh-tensorflow,,,,['tensorflow'],514.0,486.0,https://pypi.org/project/mesh-tensorflow,2020-12-17 23:10:07.000000,28.0,84791.0,84791.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n280,TensorFlow Text,tensorflow/text,,nlp,https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000000,2021-01-19 19:43:14.000000,2021-01-19 19:32:50.000000,84,39.0,84.0,686,334.0,Making text a first-class citizen in TensorFlow.,31.0,26,True,2021-01-13 04:36:01.000000,2.4.3,32.0,tensorflow-text,,,,['tensorflow'],432.0,428.0,https://pypi.org/project/tensorflow-text,2021-01-13 04:24:47.000000,4.0,139022.0,139022.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n281,dask-ml,dask/dask-ml,,distributed-ml,https://github.com/dask/dask-ml,https://github.com/dask/dask-ml,BSD-3-Clause,2017-06-15 15:56:06.000000,2021-01-11 12:53:16.000000,2021-01-05 22:11:00.000000,181,173.0,201.0,683,750.0,Scalable Machine Learning with Dask.,61.0,26,True,2020-09-24 19:34:38.000000,1.7.0,26.0,dask-ml,conda-forge/dask-ml,,,,372.0,330.0,https://pypi.org/project/dask-ml,2020-09-24 19:34:38.000000,42.0,26276.0,31116.0,https://anaconda.org/conda-forge/dask-ml,2020-09-24 21:21:37.412000,188796.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n282,PyVista,pyvista/pyvista,,data-viz,https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000000,2021-01-20 00:47:53.000000,2021-01-20 00:47:52.000000,133,117.0,265.0,663,2057.0,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,50.0,26,True,2020-12-10 16:30:09.000000,0.27.4,32.0,pyvista,conda-forge/pyvista,,,['jupyter'],266.0,240.0,https://pypi.org/project/pyvista,2020-12-10 16:30:09.000000,26.0,7027.0,9786.0,https://anaconda.org/conda-forge/pyvista,2020-12-10 19:09:38.280000,55169.0,,,,,3.0,41.0,,,,,,,,,,,,,,,,,,,,,,\n283,SMAC3,automl/SMAC3,,hyperopt,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-3-Clause,2016-08-17 10:58:05.000000,2021-01-20 14:59:57.000000,2020-10-29 10:14:55.000000,153,76.0,250.0,552,1888.0,Sequential Model-based Algorithm Configuration.,30.0,26,True,2020-10-29 10:57:56.000000,0.13.1,29.0,smac,,,,,58.0,,https://pypi.org/project/smac,2020-10-29 10:57:56.000000,58.0,8482.0,8482.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n284,tabulator-py,frictionlessdata/tabulator-py,,data-loading,https://github.com/frictionlessdata/tabulator-py,https://github.com/frictionlessdata/tabulator-py,MIT,2015-08-24 05:34:38.000000,2020-11-30 09:29:14.000000,2020-11-30 08:49:22.000000,40,,176.0,199,646.0,Python library for reading and writing tabular data via streams.,24.0,26,True,2020-11-30 09:29:14.000000,1.53.1,138.0,tabulator,conda-forge/tabulator-py,,,,560.0,456.0,https://pypi.org/project/tabulator,2020-11-30 09:29:14.000000,104.0,84415.0,85285.0,https://anaconda.org/conda-forge/tabulator-py,2018-07-24 12:57:07.018000,37426.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n285,spleeter,deezer/spleeter,,audio,https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000000,2021-01-18 20:28:05.000000,2021-01-15 13:51:15.000000,1551,94.0,403.0,15352,426.0,Deezer source separation library including pretrained models.,17.0,25,True,2021-01-08 18:22:28.000000,2.1.2,30.0,spleeter,conda-forge/spleeter,,,['tensorflow'],0.0,,https://pypi.org/project/spleeter,2021-01-08 18:22:28.000000,0.0,5681.0,68593.0,https://anaconda.org/conda-forge/spleeter,2020-06-30 14:33:43.220000,40923.0,,,,,2.0,899848.0,,,,,,,,,,,,,,,,,,,,,,\n286,MMDetection,open-mmlab/mmdetection,,image,https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000000,2021-01-21 11:26:01.000000,2021-01-21 09:23:35.000000,4591,343.0,2950.0,13384,1401.0,OpenMMLab Detection Toolbox and Benchmark.,184.0,25,True,2021-01-04 02:43:20.000000,2.8.0,8.0,,,,,['pytorch'],18.0,18.0,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n287,Ludwig,ludwig-ai/ludwig,,ml-frameworks,https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000000,2021-01-21 02:42:58.000000,2021-01-20 20:46:20.000000,882,110.0,407.0,7481,2049.0,Ludwig is a toolbox that allows to train and evaluate deep learning models without the need to write code.,86.0,25,True,2020-12-29 03:18:52.000000,0.3.2,15.0,ludwig,,,,['tensorflow'],87.0,75.0,https://pypi.org/project/ludwig,2020-11-16 23:58:45.000000,12.0,1055.0,1055.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n288,NuPIC,numenta/nupic,,ml-frameworks,https://github.com/numenta/nupic,https://github.com/numenta/nupic,AGPL-3.0,2013-04-05 23:14:27.000000,2020-12-11 19:56:36.000000,2019-10-23 20:45:07.000000,1585,456.0,1337.0,6190,6625.0,\"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..\",120.0,25,False,2018-06-01 15:37:54.000000,1.0.5,53.0,nupic,,,,,129.0,91.0,https://pypi.org/project/nupic,2018-06-01 15:37:54.000000,38.0,1405.0,1405.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n289,PyText,facebookresearch/pytext,,nlp,https://github.com/facebookresearch/pytext,https://github.com/facebookresearch/pytext,BSD-3-Clause,2018-07-31 23:40:46.000000,2021-01-21 09:05:32.000000,2021-01-21 09:05:25.000000,760,115.0,74.0,6118,1358.0,A natural language modeling framework based on PyTorch.,151.0,25,True,2020-06-08 23:30:58.000000,0.3.3,12.0,pytext-nlp,,,,['pytorch'],60.0,59.0,https://pypi.org/project/pytext-nlp,2020-04-27 08:09:25.000000,1.0,228.0,236.0,,,,,,,,2.0,212.0,,,,,,,,,,,,,,,,,,,,,,\n290,Trax,google/trax,,others,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000000,2021-01-21 12:57:17.000000,2021-01-21 01:30:04.000000,521,53.0,100.0,5588,1258.0,Trax Deep Learning with Clear Code and Speed.,56.0,25,True,2020-12-18 17:22:13.000000,1.3.7,20.0,trax,,,,,20.0,20.0,https://pypi.org/project/trax,2020-12-18 17:22:13.000000,,3068.0,3068.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n291,Milvus,milvus-io/milvus,,nn-search,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000000,2021-01-21 12:06:08.000000,2021-01-19 11:05:52.000000,771,218.0,1868.0,4936,5556.0,\"An open source embedding vector similarity search engine powered by Faiss, NMSLIB and Annoy.\",134.0,25,True,2021-01-21 05:32:04.000000,0.4.0,44.0,pymilvus,,milvusdb/milvus,,,6.0,,https://pypi.org/project/pymilvus,2021-01-21 05:32:04.000000,6.0,6781.0,20815.0,,,,https://hub.docker.com/r/milvusdb/milvus,2021-01-06 06:23:42.478311,9.0,224548.0,2.0,,,,,,,,,,,,,,,,,,,,,,,\n292,CleverHans,cleverhans-lab/cleverhans,,adversarial,https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04.000000,2021-01-20 01:13:59.000000,2021-01-20 01:13:57.000000,1209,75.0,411.0,4908,3008.0,\"An adversarial example library for constructing attacks, building defenses, and benchmarking both.\",112.0,25,True,2018-11-27 17:36:15.000000,3.0.1,6.0,cleverhans,,,,['tensorflow'],190.0,182.0,https://pypi.org/project/cleverhans,2018-11-27 17:36:15.000000,8.0,506.0,506.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n293,Augmentor,mdbloice/Augmentor,,image,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55.000000,2020-11-10 05:20:01.000000,2020-03-09 11:32:02.000000,777,115.0,67.0,4289,511.0,Image augmentation library in Python for machine learning.,22.0,25,True,2020-01-17 11:59:53.000000,0.2.8,20.0,Augmentor,,,,,317.0,275.0,https://pypi.org/project/Augmentor,2020-01-17 11:59:53.000000,42.0,2892.0,2892.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n294,PyTorch3D,facebookresearch/pytorch3d,,image,https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,MIT,2019-10-25 02:23:45.000000,2021-01-21 12:58:48.000000,2021-01-21 12:58:40.000000,468,56.0,412.0,4241,356.0,PyTorch3D is FAIR's library of reusable components for deep learning with 3D data.,50.0,25,True,2020-11-12 10:28:29.000000,0.3.0,6.0,pytorch3d,pytorch3d/pytorch3d,,,['pytorch'],44.0,44.0,https://pypi.org/project/pytorch3d,2020-11-12 10:28:29.000000,,4074.0,4490.0,https://anaconda.org/pytorch3d/pytorch3d,2020-11-12 10:28:27.832000,5824.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n295,pyAudioAnalysis,tyiannak/pyAudioAnalysis,,audio,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13.000000,2021-01-13 06:14:39.000000,2021-01-04 18:37:38.000000,957,165.0,104.0,3706,675.0,\"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.\",23.0,25,True,2020-09-29 21:30:02.000000,0.3.6,15.0,pyAudioAnalysis,,,,,187.0,176.0,https://pypi.org/project/pyAudioAnalysis,2020-09-29 21:30:02.000000,11.0,5375.0,5375.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n296,BigDL,intel-analytics/BigDL,,distributed-ml,https://github.com/intel-analytics/BigDL,https://github.com/intel-analytics/BigDL,Apache-2.0,2016-08-29 07:59:50.000000,2021-01-21 03:21:01.000000,2021-01-21 01:43:43.000000,901,178.0,727.0,3695,2658.0,BigDL: Distributed Deep Learning Framework for Apache Spark.,71.0,25,True,2021-01-05 05:55:32.000000,0.12.1,37.0,bigdl,,,,,28.0,22.0,https://pypi.org/project/bigdl,2020-12-29 06:08:45.000000,6.0,1238.0,1238.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,com.intel.analytics.bigdl:bigdl-SPARK_2.4,https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4,2020-12-05 03:54:47.000000,0.0,,,\n297,TensorFlowOnSpark,yahoo/TensorFlowOnSpark,,distributed-ml,https://github.com/yahoo/TensorFlowOnSpark,https://github.com/yahoo/TensorFlowOnSpark,Apache-2.0,2017-01-20 18:15:57.000000,2020-12-23 22:10:27.000000,2020-12-21 19:10:28.000000,928,6.0,336.0,3618,589.0,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,33.0,25,True,2020-12-18 21:57:51.000000,2.2.2,29.0,tensorflowonspark,,,,\"['tensorflow', 'spark']\",5.0,,https://pypi.org/project/tensorflowonspark,2020-12-18 18:32:09.000000,5.0,64848.0,64848.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n298,pyfolio,quantopian/pyfolio,,financial-data,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39.000000,2020-07-29 16:06:37.000000,2020-07-15 13:46:58.000000,1055,123.0,263.0,3418,1184.0,Portfolio and risk analytics in Python.,55.0,25,True,2019-04-15 14:54:03.000000,0.9.1,21.0,pyfolio,conda-forge/pyfolio,,,,245.0,191.0,https://pypi.org/project/pyfolio,2019-04-15 14:54:03.000000,54.0,6059.0,6214.0,https://anaconda.org/conda-forge/pyfolio,2020-05-16 14:11:57.267000,5455.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n299,nevergrad,facebookresearch/nevergrad,,hyperopt,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000000,2021-01-21 13:50:05.000000,2021-01-19 09:19:10.000000,270,79.0,117.0,2797,755.0,A Python toolbox for performing gradient-free optimization.,42.0,25,True,2020-08-04 12:13:07.000000,0.4.2,26.0,nevergrad,conda-forge/nevergrad,,,,130.0,116.0,https://pypi.org/project/nevergrad,2021-01-19 09:34:05.000000,14.0,6838.0,7466.0,https://anaconda.org/conda-forge/nevergrad,2020-12-14 18:21:29.267000,5656.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n300,vaderSentiment,cjhutto/vaderSentiment,,nlp,https://github.com/cjhutto/vaderSentiment,https://github.com/cjhutto/vaderSentiment,MIT,2014-11-17 16:31:45.000000,2020-07-17 19:47:37.000000,2020-05-22 15:33:43.000000,716,25.0,74.0,2746,122.0,VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based..,10.0,25,True,2020-05-22 15:07:00.000000,3.3.2,15.0,vadersentiment,,,,,2499.0,2213.0,https://pypi.org/project/vadersentiment,2020-05-22 15:07:00.000000,286.0,101720.0,101720.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n301,DeepChem,deepchem/deepchem,,others,https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000000,2021-01-20 10:56:00.000000,2021-01-20 05:54:50.000000,899,333.0,845.0,2686,6060.0,\"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.\",145.0,25,True,2021-01-13 21:21:38.000000,2.4.0,198.0,deepchem,,,,['tensorflow'],39.0,35.0,https://pypi.org/project/deepchem,2021-01-19 01:04:29.000000,4.0,1480.0,1480.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n302,Neural Network Libraries,sony/nnabla,,ml-frameworks,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10.000000,2021-01-21 12:12:30.000000,2021-01-21 12:12:26.000000,303,35.0,18.0,2400,2367.0,Neural Network Libraries.,55.0,25,True,2020-12-24 02:44:34.000000,1.15.0,51.0,nnabla,,,,,34.0,,https://pypi.org/project/nnabla,2020-12-24 02:44:34.000000,34.0,2357.0,2369.0,,,,,,,,3.0,521.0,,,,,,,,,,,,,,,,,,,,,,\n303,Captum,pytorch/captum,,interpretability,https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000000,2021-01-20 20:27:17.000000,2021-01-20 01:51:32.000000,199,44.0,137.0,2075,781.0,Model interpretability and understanding for PyTorch.,66.0,25,True,2020-11-13 23:52:08.000000,0.3.0,4.0,captum,,,,['pytorch'],105.0,105.0,https://pypi.org/project/captum,2020-11-13 20:23:21.000000,,7385.0,7385.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n304,TextDistance,life4/textdistance,,nlp,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10.000000,2021-01-11 12:19:04.000000,2020-04-13 10:34:26.000000,161,9.0,,1867,289.0,\"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..\",7.0,25,True,2020-04-13 10:17:59.000000,.4.2.0,20.0,textdistance,conda-forge/textdistance,,,,331.0,303.0,https://pypi.org/project/textdistance,2020-04-13 09:59:27.000000,28.0,89548.0,90120.0,https://anaconda.org/conda-forge/textdistance,2020-11-10 18:38:06.222000,18251.0,,,,,2.0,97.0,,,,,,,,,,,,,,,,,,,,,,\n305,spark-nlp,JohnSnowLabs/spark-nlp,,nlp,https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000000,2021-01-21 15:53:43.000000,2021-01-21 13:18:59.000000,394,72.0,335.0,1842,5871.0,State of the Art Natural Language Processing.,74.0,25,True,2021-01-08 22:59:02.000000,2.7.1,72.0,spark-nlp,,,,['spark'],0.0,,https://pypi.org/project/spark-nlp,2021-01-04 18:05:17.000000,0.0,363172.0,363172.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n306,facenet-pytorch,timesler/facenet-pytorch,,image,https://github.com/timesler/facenet-pytorch,https://github.com/timesler/facenet-pytorch,MIT,2019-05-25 01:29:24.000000,2020-11-19 06:56:24.000000,2020-11-19 06:56:23.000000,377,26.0,84.0,1780,229.0,Pretrained Pytorch face detection (MTCNN) and recognition (InceptionResnet) models.,11.0,25,True,2020-11-19 06:49:36.000000,2.5.1,30.0,facenet-pytorch,,,,['pytorch'],262.0,259.0,https://pypi.org/project/facenet-pytorch,2020-11-19 06:49:36.000000,3.0,3675.0,7472.0,,,,,,,,2.0,53162.0,,,,,,,,,,,,,,,,,,,,,,\n307,Foolbox,bethgelab/foolbox,,adversarial,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48.000000,2020-12-20 18:06:33.000000,2020-12-20 18:05:23.000000,314,41.0,263.0,1763,1637.0,\"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.\",30.0,25,True,2020-09-26 06:49:13.000000,3.2.1,66.0,foolbox,,,,,182.0,164.0,https://pypi.org/project/foolbox,2020-09-26 06:49:13.000000,18.0,923.0,923.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n308,StellarGraph,stellargraph/stellargraph,,graph,https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51.000000,2021-01-21 04:05:33.000000,2021-01-21 04:05:32.000000,248,211.0,699.0,1729,2515.0,StellarGraph - Machine Learning on Graphs.,29.0,25,True,2020-06-30 05:15:21.000000,1.2.1,25.0,stellargraph,,,,['tensorflow'],45.0,43.0,https://pypi.org/project/stellargraph,2020-06-25 09:38:56.000000,2.0,5469.0,5469.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n309,pgmpy,pgmpy/pgmpy,,probabilistics,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000000,2021-01-10 12:14:51.000000,2021-01-10 12:14:38.000000,556,224.0,493.0,1678,6.0,Python Library for learning (Structure and Parameter) and inference (Statistical and Causal) in Bayesian Networks.,88.0,25,True,2020-12-30 13:56:53.000000,0.1.13,12.0,pgmpy,,,,,191.0,179.0,https://pypi.org/project/pgmpy,2020-12-30 13:01:04.000000,12.0,21615.0,21622.0,,,,,,,,3.0,50.0,,,,,,,,,,,,,,,,,,,,,,\n310,pytorch-optimizer,jettify/pytorch-optimizer,,pytorch-utils,https://github.com/jettify/pytorch-optimizer,https://github.com/jettify/pytorch-optimizer,Apache-2.0,2020-01-03 03:16:39.000000,2021-01-21 10:48:34.000000,2021-01-21 10:47:20.000000,153,10.0,23.0,1642,344.0,torch-optimizer -- collection of optimizers for Pytorch.,19.0,25,True,2021-01-01 16:51:15.000000,0.1.0,19.0,torch_optimizer,,,,['pytorch'],103.0,103.0,https://pypi.org/project/torch_optimizer,2021-01-01 16:51:15.000000,0.0,11163.0,11163.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n311,HyperTools,ContextLab/hypertools,,data-viz,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25.000000,2021-01-06 14:11:39.000000,2021-01-06 14:11:38.000000,151,69.0,122.0,1609,1591.0,A Python toolbox for gaining geometric insights into high-dimensional data.,21.0,25,True,2020-10-02 21:38:16.000000,0.6.3,19.0,hypertools,,,,,106.0,97.0,https://pypi.org/project/hypertools,2020-10-02 21:41:53.000000,9.0,181.0,181.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n312,causalml,uber/causalml,,others,https://github.com/uber/causalml,https://github.com/uber/causalml,Apache-2.0,2019-07-09 02:08:58.000000,2021-01-20 00:57:36.000000,2021-01-20 00:57:35.000000,241,19.0,129.0,1566,296.0,Uplift modeling and causal inference with machine learning algorithms.,23.0,25,True,2020-10-23 22:53:43.000000,0.9.0,12.0,causalml,,,,,11.0,11.0,https://pypi.org/project/causalml,2020-10-23 22:44:35.000000,,8547.0,8547.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n313,category_encoders,scikit-learn-contrib/category_encoders,,sklearn-utils,https://github.com/scikit-learn-contrib/category_encoders,https://github.com/scikit-learn-contrib/category_encoders,BSD-3-Clause,2015-11-29 19:32:37.000000,2020-11-10 15:17:22.000000,2020-07-31 10:43:44.000000,291,65.0,134.0,1555,671.0,A library of sklearn compatible categorical variable encoders.,34.0,25,True,2020-04-29 02:09:51.000000,2.2.2,19.0,category_encoders,conda-forge/category_encoders,,,['sklearn'],23.0,,https://pypi.org/project/category_encoders,2018-10-14 14:15:54.000000,23.0,182895.0,184591.0,https://anaconda.org/conda-forge/category_encoders,2020-04-29 22:37:35.948000,91618.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n314,swifter,jmcarpenter2/swifter,,data-containers,https://github.com/jmcarpenter2/swifter,https://github.com/jmcarpenter2/swifter,MIT,2018-04-07 21:37:19.000000,2020-12-19 19:11:45.000000,2020-12-19 19:11:44.000000,68,14.0,76.0,1511,423.0,A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner.,14.0,25,True,2020-10-11 22:42:57.000000,1.0.7,71.0,swifter,conda-forge/swifter,,,['pandas'],290.0,274.0,https://pypi.org/project/swifter,2020-10-11 22:42:57.000000,16.0,46014.0,49536.0,https://anaconda.org/conda-forge/swifter,2020-09-20 15:08:56.885000,73966.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n315,streamparse,Parsely/streamparse,,data-pipelines,https://github.com/Parsely/streamparse,https://github.com/Parsely/streamparse,Apache-2.0,2014-05-02 20:33:50.000000,2020-12-18 18:44:04.000000,2020-12-18 18:43:59.000000,219,69.0,263.0,1427,1059.0,\"Run Python in Apache Storm topologies. Pythonic API, CLI tooling, and a topology DSL.\",40.0,25,True,2020-10-07 19:53:15.000000,4.0.0,47.0,streamparse,,,,,73.0,47.0,https://pypi.org/project/streamparse,2020-10-07 19:45:19.000000,26.0,1456.0,1456.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n316,chainercv,chainer/chainercv,,image,https://github.com/chainer/chainercv,https://github.com/chainer/chainercv,MIT,2017-02-13 04:15:10.000000,2020-02-03 01:27:17.000000,2020-01-07 11:48:31.000000,318,54.0,168.0,1424,4930.0,ChainerCV: a Library for Deep Learning in Computer Vision.,39.0,25,True,2019-06-12 11:55:02.000000,0.13.1,23.0,chainercv,,,,,241.0,217.0,https://pypi.org/project/chainercv,2019-05-31 08:53:39.000000,24.0,3348.0,3348.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n317,jellyfish,jamesturk/jellyfish,,nlp,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,BSD-2-Clause,2010-07-09 20:41:11.000000,2021-01-08 15:04:47.681000,2020-12-30 16:47:13.000000,119,9.0,86.0,1386,,a python library for doing approximate and phonetic matching of strings.,20.0,25,True,2020-05-21 20:37:01.000000,0.8.2,27.0,jellyfish,conda-forge/jellyfish,,,,2678.0,2032.0,https://pypi.org/project/jellyfish,2020-05-21 20:37:01.000000,646.0,715705.0,717761.0,https://anaconda.org/conda-forge/jellyfish,2021-01-08 15:04:47.681000,106941.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n318,Ax,facebook/Ax,,hyperopt,https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000000,2021-01-21 06:04:11.000000,2021-01-17 17:45:02.000000,140,35.0,177.0,1372,901.0,Adaptive Experimentation Platform.,91.0,25,True,2020-12-08 19:07:48.000000,0.1.19,20.0,ax-platform,,,,['pytorch'],125.0,121.0,https://pypi.org/project/ax-platform,2020-12-08 19:07:48.000000,4.0,13914.0,13914.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n319,mtcnn,ipazc/mtcnn,,image,https://github.com/ipazc/mtcnn,https://github.com/ipazc/mtcnn,MIT,2018-01-05 04:08:32.000000,2021-01-13 23:50:59.000000,2021-01-13 23:50:58.000000,373,53.0,36.0,1365,55.0,\"MTCNN face detection implementation for TensorFlow, as a PIP package.\",14.0,25,True,2019-11-14 17:37:05.000000,0.1.0,10.0,mtcnn,,,,['tensorflow'],870.0,828.0,https://pypi.org/project/mtcnn,2019-11-14 17:37:05.000000,42.0,11935.0,11935.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n320,dtreeviz,parrt/dtreeviz,,interpretability,https://github.com/parrt/dtreeviz,https://github.com/parrt/dtreeviz,MIT,2018-08-13 21:45:15.000000,2021-01-21 15:30:43.000000,2020-11-25 21:41:34.000000,184,14.0,66.0,1350,299.0,A python library for decision tree visualization and model interpretation.,13.0,25,True,2020-11-25 21:42:44.000000,1.1.3,20.0,dtreeviz,,,,,106.0,102.0,https://pypi.org/project/dtreeviz,2020-11-25 21:41:45.000000,4.0,12699.0,12699.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n321,haystack,deepset-ai/haystack,,nlp,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000000,2021-01-21 15:05:56.000000,2021-01-21 15:02:33.000000,232,59.0,363.0,1277,503.0,Transformers at scale for question answering & neural search. Using NLP via a modular Retriever-Reader-Pipeline...,31.0,25,True,2020-12-17 06:53:05.000000,0.6.0,34.0,haystack,,,,,99.0,25.0,https://pypi.org/project/haystack,2017-07-03 04:44:52.000000,74.0,1705.0,1705.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n322,TNT,pytorch/tnt,,ml-experiments,https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58.000000,2021-01-05 19:36:18.000000,2021-01-05 19:36:17.000000,185,30.0,34.0,1275,156.0,\"Simple tools for logging and visualizing, loading and training.\",35.0,25,True,2019-11-15 12:57:59.000000,0.0.5.1,3.0,torchnet,,,,['pytorch'],560.0,510.0,https://pypi.org/project/torchnet,2018-07-29 23:16:03.000000,50.0,8198.0,8198.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n323,ViZDoom,mwydmuch/ViZDoom,,reinforcement-learning,https://github.com/mwydmuch/ViZDoom,https://github.com/mwydmuch/ViZDoom,MIT,2015-06-26 18:38:23.000000,2021-01-18 16:15:23.000000,2021-01-16 11:04:12.000000,280,88.0,327.0,1154,1461.0,Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information.,43.0,25,True,2020-10-29 15:54:47.000000,1.1.8,19.0,vizdoom,,,,,113.0,101.0,https://pypi.org/project/vizdoom,2020-10-29 15:56:20.000000,12.0,380.0,559.0,,,,,,,,2.0,10386.0,,,,,,,,,,,,,,,,,,,,,,\n324,ArcGIS API,Esri/arcgis-python-api,,geospatial-data,https://github.com/Esri/arcgis-python-api,https://github.com/Esri/arcgis-python-api,Apache-2.0,2016-03-16 01:09:14.000000,2021-01-21 10:59:12.000000,2021-01-16 00:31:11.000000,678,125.0,197.0,941,2882.0,Documentation and samples for ArcGIS API for Python.,60.0,25,True,2020-12-15 21:49:37.000000,1.8.3,25.0,arcgis,,esridocker/arcgis-api-python-notebook,,,10.0,,https://pypi.org/project/arcgis,2020-11-30 16:13:47.000000,10.0,19372.0,19435.0,,,,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,2020-03-06 00:53:45.164342,29.0,3673.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n325,bcolz,Blosc/bcolz,,data-containers,https://github.com/Blosc/bcolz,https://github.com/Blosc/bcolz,BSD-3-Clause,2010-08-18 15:27:02.000000,2020-09-10 12:12:51.000000,2020-09-10 12:12:45.000000,115,126.0,120.0,907,1280.0,A columnar data container that can be compressed.,33.0,25,True,2018-04-13 07:44:26.000000,1.2.1,23.0,bcolz,conda-forge/bcolz,,,,2447.0,1479.0,https://pypi.org/project/bcolz,2018-04-13 07:44:26.000000,968.0,18683.0,23075.0,https://anaconda.org/conda-forge/bcolz,2019-11-05 21:09:48.045000,206455.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n326,empyrical,quantopian/empyrical,,financial-data,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52.000000,2020-10-14 13:28:13.625000,2020-10-14 13:22:39.000000,221,27.0,26.0,695,167.0,Common financial risk and performance metrics. Used by zipline and pyfolio.,22.0,25,True,2020-10-13 21:28:25.000000,0.5.5,20.0,empyrical,conda-forge/empyrical,,,,720.0,498.0,https://pypi.org/project/empyrical,2020-10-13 17:31:37.000000,222.0,24318.0,24579.0,https://anaconda.org/conda-forge/empyrical,2020-10-14 13:28:13.625000,9152.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n327,Satpy,pytroll/satpy,,geospatial-data,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000000,2021-01-21 12:20:11.000000,2021-01-19 15:52:12.000000,191,300.0,286.0,668,8145.0,Python package for earth-observing satellite data processing.,103.0,25,False,2021-01-07 03:03:07.000000,0.25.1,63.0,satpy,conda-forge/satpy,,,,45.0,39.0,https://pypi.org/project/satpy,2021-01-07 03:03:07.000000,6.0,333.0,2063.0,https://anaconda.org/conda-forge/satpy,2021-01-07 15:09:16.887000,51923.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n328,mahotas,luispedro/mahotas,,image,https://github.com/luispedro/mahotas,https://github.com/luispedro/mahotas,MIT,2010-01-31 00:13:06.000000,2021-01-13 11:55:15.000000,2021-01-13 11:55:02.000000,124,13.0,57.0,663,1276.0,Computer Vision in Python.,30.0,25,True,2020-06-11 11:35:18.000000,1.4.11,57.0,mahotas,conda-forge/mahotas,,,,742.0,552.0,https://pypi.org/project/mahotas,2020-08-16 17:22:48.000000,190.0,8263.0,12566.0,https://anaconda.org/conda-forge/mahotas,2020-11-01 16:34:04.486000,249615.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n329,tensorflow-upstream,ROCmSoftwarePlatform/tensorflow-upstream,,ml-frameworks,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,Apache-2.0,2018-04-09 21:24:50.000000,2021-01-21 15:55:09.000000,2021-01-20 13:06:34.000000,64,55.0,225.0,533,79524.0,TensorFlow ROCm port.,3513.0,25,True,2020-12-08 01:43:55.000000,2.4.0,58.0,tensorflow-rocm,,,,['tensorflow'],,,https://pypi.org/project/tensorflow-rocm,2020-12-22 02:51:55.000000,,1636.0,1636.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,,,,,\n330,TensorFlow I/O,tensorflow/io,,tensorflow-utils,https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05.000000,2021-01-20 17:01:10.000000,2021-01-20 16:40:36.000000,144,110.0,273.0,407,1341.0,\"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.\",72.0,25,True,2020-12-15 00:45:37.000000,0.17.0,21.0,tensorflow-io,,,,['tensorflow'],94.0,94.0,https://pypi.org/project/tensorflow-io,2020-12-15 00:42:35.000000,0.0,47009.0,47009.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n331,mpi4py,mpi4py/mpi4py,,distributed-ml,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-3-Clause,2013-09-05 14:44:25.000000,2021-01-20 11:24:50.000000,2021-01-20 11:24:11.000000,61,2.0,3.0,374,2197.0,Python bindings for MPI.,13.0,25,True,2020-07-27 06:40:19.000000,3.0.3,13.0,mpi4py,conda-forge/mpi4py,,,,700.0,,https://pypi.org/project/mpi4py,2019-11-04 13:05:10.000000,700.0,126599.0,136496.0,https://anaconda.org/conda-forge/mpi4py,2021-01-19 17:48:43.682000,507715.0,,,,,2.0,807.0,,,,,,,,,,,,,,,,,,,,,,\n332,python-soundfile,bastibe/python-soundfile,,audio,https://github.com/bastibe/python-soundfile,https://github.com/bastibe/python-soundfile,BSD-3-Clause,2013-08-27 13:36:52.000000,2021-01-13 07:52:51.000000,2020-12-01 18:42:47.000000,41,57.0,86.0,360,493.0,\"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.\",19.0,25,True,2019-12-04 10:03:39.000000,0.10.3post1,7.0,soundfile,,,,,6081.0,5341.0,https://pypi.org/project/soundfile,2018-04-19 07:13:19.000000,740.0,332677.0,332700.0,,,,,,,,2.0,1978.0,,,,,,,,,,,,,,,,,,,,,,\n333,hvPlot,holoviz/hvplot,,data-viz,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000000,2021-01-17 16:07:26.000000,2021-01-17 16:07:25.000000,49,96.0,220.0,337,367.0,\"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.\",22.0,25,True,2020-12-16 22:59:26.000000,0.7.0,9.0,hvplot,conda-forge/hvplot,,,,454.0,439.0,https://pypi.org/project/hvplot,2020-06-02 00:27:18.000000,15.0,30607.0,32635.0,https://anaconda.org/conda-forge/hvplot,2021-01-06 23:26:19.353000,58819.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n334,PaddleOCR,PaddlePaddle/PaddleOCR,,ocr,https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000000,2021-01-21 11:16:26.000000,2021-01-21 11:16:25.000000,1677,356.0,825.0,8477,,\"Awesome multilingual OCR toolkits based on PaddlePaddle practical ultra lightweight OCR system, provide data..\",41.0,24,True,2020-12-18 04:01:23.000000,2.0.2,10.0,paddleocr,,,,['paddle'],19.0,19.0,https://pypi.org/project/paddleocr,2020-12-18 04:01:23.000000,0.0,1513.0,1513.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n335,pysc2,deepmind/pysc2,,others,https://github.com/deepmind/pysc2,https://github.com/deepmind/pysc2,Apache-2.0,2017-07-25 18:16:57.000000,2020-07-29 16:22:31.000000,2019-09-27 15:23:22.000000,1061,49.0,203.0,7146,513.0,StarCraft II Learning Environment.,34.0,24,False,2019-09-27 15:48:01.000000,3.0.0,7.0,pysc2,,,,,239.0,219.0,https://pypi.org/project/pysc2,2019-09-27 15:48:01.000000,20.0,522.0,1143.0,,,,,,,,2.0,25475.0,,,,,,,,,,,,,,,,,,,,,,\n336,ParlAI,facebookresearch/ParlAI,,nlp,https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44.000000,2021-01-19 22:36:12.000000,2021-01-19 22:36:10.000000,1385,111.0,830.0,6928,3595.0,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,138.0,24,True,2021-01-19 19:10:47.000000,1.0.0,13.0,parlai,,,,['pytorch'],5.0,5.0,https://pypi.org/project/parlai,2021-01-19 19:10:47.000000,,718.0,718.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n337,stanza,stanfordnlp/stanza,,nlp,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56.000000,2021-01-21 00:23:30.000000,2021-01-12 04:32:19.000000,630,58.0,382.0,5123,1516.0,Official Stanford NLP Python Library for Many Human Languages.,28.0,24,True,2020-08-13 06:26:20.000000,1.1.1,9.0,stanza,stanfordnlp/stanza,,,,2.0,,https://pypi.org/project/stanza,2020-08-13 06:08:07.000000,2.0,11948.0,12249.0,https://anaconda.org/stanfordnlp/stanza,2020-08-13 06:22:54.550000,3017.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n338,Edward,blei-lab/edward,,probabilistics,https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05.000000,2019-10-22 20:30:48.000000,2018-07-25 01:28:08.000000,767,212.0,327.0,4597,1796.0,\"A probabilistic programming language in TensorFlow. Deep generative models, variational inference.\",87.0,24,False,2018-01-22 06:03:37.000000,1.3.5,28.0,edward,,,,['tensorflow'],241.0,204.0,https://pypi.org/project/edward,2018-01-22 06:03:05.000000,37.0,436.0,436.0,,,,,,,,3.0,10.0,,,,,,,,,,,,,,,,,,,,,,\n339,textgenrnn,minimaxir/textgenrnn,,nlp,https://github.com/minimaxir/textgenrnn,https://github.com/minimaxir/textgenrnn,MIT,2017-08-07 02:13:37.000000,2020-12-25 03:33:19.000000,2020-07-14 02:41:10.000000,654,107.0,79.0,4225,174.0,Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines..,19.0,24,True,2020-02-03 01:07:00.000000,2.0.0,14.0,textgenrnn,,,,['tensorflow'],602.0,588.0,https://pypi.org/project/textgenrnn,2020-02-02 21:16:15.000000,14.0,1862.0,1873.0,,,,,,,,3.0,390.0,,,,,,,,,,,,,,,,,,,,,,\n340,Lucid,tensorflow/lucid,,interpretability,https://github.com/tensorflow/lucid,https://github.com/tensorflow/lucid,Apache-2.0,2018-01-25 17:41:44.000000,2021-01-12 06:14:01.000000,2020-11-24 20:56:27.000000,553,67.0,93.0,4035,632.0,A collection of infrastructure and tools for research in neural network interpretability.,34.0,24,True,2019-01-17 19:46:43.000000,0.3.9-alpha,16.0,lucid,,,,['tensorflow'],413.0,407.0,https://pypi.org/project/lucid,2018-12-20 00:26:11.000000,6.0,491.0,491.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n341,Lasagne,Lasagne/Lasagne,,ml-frameworks,https://github.com/Lasagne/Lasagne,https://github.com/Lasagne/Lasagne,MIT,2014-09-11 15:31:41.000000,2019-11-20 20:28:31.000000,2019-11-20 20:28:30.000000,983,139.0,402.0,3773,1161.0,Lightweight library to build and train neural networks in Theano.,72.0,24,False,2015-08-13 21:00:09.000000,0.1,1.0,lasagne,,,,,1032.0,779.0,https://pypi.org/project/lasagne,2015-08-13 21:10:53.000000,253.0,1539.0,1539.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n342,espnet,espnet/espnet,,audio,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000000,2021-01-21 15:38:05.000000,2021-01-19 14:33:59.000000,1043,127.0,1036.0,3343,10508.0,End-to-End Speech Processing Toolkit.,137.0,24,True,2021-01-15 08:52:23.000000,0.9.7,32.0,espnet,,,,,4.0,4.0,https://pypi.org/project/espnet,2021-01-15 08:52:23.000000,0.0,1062.0,1063.0,,,,,,,,3.0,59.0,,,,,,,,,,,,-1.0,,,,,,,,,,\n343,torchdiffeq,rtqichen/torchdiffeq,,pytorch-utils,https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25.000000,2021-01-19 18:51:33.000000,2021-01-19 18:50:31.000000,574,14.0,109.0,3317,208.0,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,19.0,24,True,2021-01-19 18:51:18.000000,0.2.0,4.0,torchdiffeq,,,,['pytorch'],57.0,57.0,https://pypi.org/project/torchdiffeq,2021-01-19 18:51:18.000000,0.0,2026.0,2026.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n344,T5,google-research/text-to-text-transfer-transformer,,nlp,https://github.com/google-research/text-to-text-transfer-transformer,https://github.com/google-research/text-to-text-transfer-transformer,Apache-2.0,2019-10-17 21:45:14.000000,2021-01-20 19:28:18.000000,2021-01-20 19:28:06.000000,419,38.0,289.0,3137,404.0,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,28.0,24,True,2020-12-18 21:12:02.000000,0.8.1,25.0,t5,,,,['tensorflow'],21.0,21.0,https://pypi.org/project/t5,2020-12-18 21:12:02.000000,0.0,5228.0,5228.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n345,pytorch-summary,sksq96/pytorch-summary,,pytorch-utils,https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04.000000,2020-09-11 22:33:42.000000,2020-08-07 01:16:40.000000,341,100.0,36.0,2883,56.0,Model summary in PyTorch similar to `model.summary()` in Keras.,11.0,24,True,2018-09-26 05:07:28.000000,1.5.1,12.0,torchsummary,,,,['pytorch'],1895.0,1777.0,https://pypi.org/project/torchsummary,2018-09-26 05:07:28.000000,118.0,32605.0,32605.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n346,TensorForce,tensorforce/tensorforce,,reinforcement-learning,https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22.000000,2021-01-19 21:35:33.000000,2021-01-19 21:35:22.000000,472,9.0,538.0,2842,2013.0,Tensorforce: a TensorFlow library for applied reinforcement learning.,76.0,24,True,2020-10-03 16:00:39.000000,0.6.2,12.0,tensorforce,,,,['tensorflow'],23.0,,https://pypi.org/project/tensorforce,2019-09-07 13:56:18.000000,23.0,684.0,684.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n347,Chartify,spotify/chartify,,data-viz,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05.000000,2021-01-16 19:45:00.000000,2020-11-02 22:11:04.000000,248,40.0,30.0,2810,186.0,Python library that makes it easy for data scientists to create charts.,19.0,24,True,2020-11-02 22:14:08.000000,3.0.3,16.0,chartify,conda-forge/chartify,,,,57.0,52.0,https://pypi.org/project/chartify,2020-11-02 22:14:08.000000,5.0,3946.0,4398.0,https://anaconda.org/conda-forge/chartify,2020-11-07 19:52:50.628000,11769.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n348,Stable Baselines,hill-a/stable-baselines,,reinforcement-learning,https://github.com/hill-a/stable-baselines,https://github.com/hill-a/stable-baselines,MIT,2018-07-02 14:28:59.000000,2021-01-14 09:51:25.000000,2020-12-23 16:27:08.000000,563,122.0,713.0,2797,835.0,\"A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.\",110.0,24,True,2020-08-05 19:45:11.000000,2.10.1,30.0,stable-baselines,,,,,25.0,,https://pypi.org/project/stable-baselines,2020-08-05 19:42:14.000000,25.0,7419.0,7419.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n349,PML,KevinMusgrave/pytorch-metric-learning,,pytorch-utils,https://github.com/KevinMusgrave/pytorch-metric-learning,https://github.com/KevinMusgrave/pytorch-metric-learning,MIT,2019-10-23 17:20:35.000000,2021-01-21 06:14:22.000000,2021-01-21 06:14:10.000000,356,32.0,173.0,2654,599.0,\"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.\",12.0,24,True,2021-01-12 14:49:11.000000,0.9.96,142.0,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,,['pytorch'],46.0,46.0,https://pypi.org/project/pytorch-metric-learning,2021-01-21 04:16:25.000000,0.0,3533.0,3626.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2021-01-12 15:47:14.797000,1126.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n350,DoWhy,Microsoft/dowhy,,interpretability,https://github.com/microsoft/dowhy,https://github.com/microsoft/dowhy,MIT,2018-05-31 13:07:04.000000,2021-01-18 15:39:07.000000,2020-12-24 16:07:21.000000,365,14.0,81.0,2610,418.0,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,37.0,24,True,2020-12-12 15:26:03.000000,0.5.1,5.0,dowhy,conda-forge/dowhy,,,,24.0,24.0,https://pypi.org/project/dowhy,2020-12-12 15:26:03.000000,,7076.0,7191.0,https://anaconda.org/conda-forge/dowhy,2020-12-13 07:46:12.761000,919.0,,,,,2.0,19.0,,,,,,,,,,,,,,,,,,,,,,\n351,Sumy,miso-belica/sumy,,nlp,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48.000000,2020-11-21 17:08:35.000000,2020-11-21 17:08:33.000000,436,10.0,78.0,2473,397.0,Module for automatic summarization of text documents and HTML pages.,20.0,24,True,2019-05-19 14:39:21.000000,0.8.1,13.0,sumy,,,,,828.0,636.0,https://pypi.org/project/sumy,2019-05-19 14:38:29.000000,192.0,5329.0,5329.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n352,einops,arogozhnikov/einops,,ml-frameworks,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08.000000,2021-01-09 20:03:22.000000,2021-01-09 20:03:21.000000,74,22.0,40.0,2222,293.0,\"Deep learning operations reinvented (for pytorch, tensorflow, jax and others).\",10.0,24,True,2020-09-08 08:33:29.000000,0.3,3.0,einops,conda-forge/einops,,,,211.0,201.0,https://pypi.org/project/einops,2020-09-08 08:21:26.000000,10.0,14661.0,14882.0,https://anaconda.org/conda-forge/einops,2020-10-15 20:10:19.681000,3538.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n353,Arctic,man-group/arctic,,data-containers,https://github.com/man-group/arctic,https://github.com/man-group/arctic,LGPL-2.1,2015-05-29 13:37:30.000000,2021-01-20 04:03:25.000000,2020-12-28 16:10:10.000000,428,84.0,421.0,2140,1066.0,Arctic is a high performance datastore for numeric data.,70.0,24,False,2020-12-01 23:17:26.000000,1.79.4,83.0,arctic,conda-forge/arctic,,,,144.0,102.0,https://pypi.org/project/arctic,2020-12-01 23:16:12.000000,42.0,2330.0,2946.0,https://anaconda.org/conda-forge/arctic,2019-12-16 08:57:24.231000,12307.0,,,,,3.0,89.0,,,,,,,,,,,,,,,,,,,,,,\n354,ClearML,allegroai/clearml,,ml-experiments,https://github.com/allegroai/clearml,https://github.com/allegroai/clearml,Apache-2.0,2019-06-10 08:18:32.000000,2021-01-18 18:26:55.000000,2021-01-18 18:23:37.000000,312,55.0,196.0,2119,1009.0,\"ClearML - Auto-Magical Suite of tools to streamline your ML workflow. Experiment Manager, ML-Ops and Data-Management.\",24.0,24,True,2021-01-13 12:56:36.000000,0.17.4,39.0,clearml,,allegroai/trains,,,10.0,10.0,https://pypi.org/project/clearml,2021-01-18 18:26:55.000000,0.0,1637.0,3225.0,,,,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,29940.0,2.0,259.0,,,,,,,,,,,,,,,,,,,,,,\n355,Hyperas,maxpumperla/hyperas,,hyperopt,https://github.com/maxpumperla/hyperas,https://github.com/maxpumperla/hyperas,MIT,2016-02-19 14:45:10.000000,2020-12-22 08:31:48.000000,2020-12-22 08:31:47.000000,296,88.0,158.0,2064,209.0,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,21.0,24,True,2019-02-28 09:16:54.000000,0.4.1,9.0,hyperas,,,,['tensorflow'],21.0,,https://pypi.org/project/hyperas,2019-02-28 09:16:54.000000,21.0,11915.0,11915.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n356,fastNLP,fastnlp/fastNLP,,nlp,https://github.com/fastnlp/fastNLP,https://github.com/fastnlp/fastNLP,Apache-2.0,2018-03-07 13:30:20.000000,2020-12-16 10:04:23.000000,2020-11-23 10:50:37.000000,351,16.0,127.0,1978,1706.0,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,48.0,24,True,2020-11-06 15:31:29.000000,0.6.0,10.0,fastnlp,,,,,22.0,21.0,https://pypi.org/project/fastnlp,2019-02-04 02:35:37.000000,1.0,868.0,870.0,,,,,,,,3.0,54.0,,,,,,,,,,,,,,,,,,,,,,\n357,SRU,asappresearch/sru,,pytorch-utils,https://github.com/asappresearch/sru,https://github.com/asappresearch/sru,MIT,2017-08-28 20:37:41.000000,2021-01-08 19:56:04.000000,2020-12-17 19:36:53.000000,279,48.0,53.0,1870,378.0,Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755).,21.0,24,True,2020-12-17 19:40:55.000000,2.6.0-rc1,21.0,sru,,,,['pytorch'],16.0,15.0,https://pypi.org/project/sru,2020-12-17 19:41:19.000000,1.0,1782.0,1782.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n358,python_speech_features,jameslyons/python_speech_features,,audio,https://github.com/jameslyons/python_speech_features,https://github.com/jameslyons/python_speech_features,MIT,2013-10-31 02:42:08.000000,2020-12-31 13:27:02.000000,2020-12-31 13:27:01.000000,536,23.0,49.0,1832,120.0,This library provides common speech features for ASR including MFCCs and filterbank energies.,18.0,24,True,2020-01-14 14:12:10.000000,0.6.1,6.0,python_speech_features,,,,,300.0,,https://pypi.org/project/python_speech_features,2017-08-16 01:46:13.000000,300.0,50259.0,50259.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n359,polyglot,aboSamoor/polyglot,,nlp,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,GPL-3.0,2014-06-30 02:07:45.000000,2020-10-27 10:55:53.000000,2020-09-22 22:35:28.000000,292,132.0,62.0,1751,271.0,Multilingual text (NLP) processing toolkit.,26.0,24,False,2016-07-03 20:05:42.000000,16.7.4,8.0,polyglot,,,,,492.0,427.0,https://pypi.org/project/polyglot,2016-07-03 20:05:42.000000,65.0,38273.0,38273.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n360,Alphalens,quantopian/alphalens,,financial-data,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15.000000,2020-09-05 16:48:14.000000,2020-04-27 18:40:41.000000,634,38.0,144.0,1723,522.0,Performance analysis of predictive (alpha) stock factors.,25.0,24,True,2020-04-30 15:42:52.000000,0.4.0,10.0,alphalens,conda-forge/alphalens,,,,363.0,349.0,https://pypi.org/project/alphalens,2020-04-27 21:03:10.000000,14.0,1972.0,2266.0,https://anaconda.org/conda-forge/alphalens,2020-05-16 13:52:44.922000,10321.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n361,TorchServe,pytorch/serve,,model-serialisation,https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000000,2021-01-20 21:24:11.000000,2021-01-13 01:32:25.000000,220,130.0,399.0,1526,1049.0,Model Serving on PyTorch.,61.0,24,True,2020-12-18 01:38:41.000000,0.3.0,6.0,torchserve,pytorch/torchserve,pytorch/torchserve,,['pytorch'],26.0,26.0,https://pypi.org/project/torchserve,2020-12-17 19:04:04.000000,,2142.0,6188.0,https://anaconda.org/pytorch/torchserve,2020-12-17 18:30:12.593000,6113.0,https://hub.docker.com/r/pytorch/torchserve,2020-12-18 18:32:51.570336,3.0,50214.0,2.0,180.0,,,,,,,,,,,,,,,,,,,,,,\n362,Elephas,maxpumperla/elephas,,distributed-ml,https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19.000000,2021-01-19 12:41:01.000000,2021-01-19 12:38:56.000000,286,25.0,107.0,1438,427.0,Distributed Deep learning with Keras & Spark.,26.0,24,True,2021-01-19 02:24:22.000000,1.1.0,13.0,elephas,,,,\"['keras', 'spark']\",39.0,36.0,https://pypi.org/project/elephas,2021-01-19 02:18:08.000000,3.0,7736.0,7736.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n363,PyTextRank,DerwenAI/pytextrank,,nlp,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000000,2021-01-19 13:43:09.000000,2020-09-21 19:22:46.000000,291,17.0,37.0,1394,147.0,Python implementation of TextRank for phrase extraction and summarization of text documents.,10.0,24,True,2020-09-15 16:51:59.000000,2.0.3,10.0,pytextrank,,,,,126.0,120.0,https://pypi.org/project/pytextrank,2020-09-15 16:51:59.000000,6.0,10803.0,10803.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n364,IB-insync,erdewit/ib_insync,,financial-data,https://github.com/erdewit/ib_insync,https://github.com/erdewit/ib_insync,BSD-2-Clause,2017-07-12 12:09:24.000000,2021-01-12 09:49:43.000000,2021-01-12 09:49:36.000000,381,4.0,279.0,1201,547.0,Python sync/async framework for Interactive Brokers API.,25.0,24,True,2020-11-03 13:37:57.000000,0.9.64,89.0,ib_insync,conda-forge/ib-insync,,,,12.0,,https://pypi.org/project/ib_insync,2020-11-03 13:37:57.000000,12.0,2779.0,3175.0,https://anaconda.org/conda-forge/ib-insync,2020-11-07 23:30:42.910000,7129.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n365,Fairness 360,Trusted-AI/AIF360,,interpretability,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15.000000,2021-01-19 17:09:40.000000,2021-01-19 17:09:39.000000,383,35.0,46.0,1193,291.0,\"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..\",41.0,24,True,2020-06-02 22:59:53.000000,0.3.0,8.0,aif360,,,,,64.0,62.0,https://pypi.org/project/aif360,2020-06-02 22:49:24.000000,2.0,2191.0,2191.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n366,petastorm,uber/petastorm,,distributed-ml,https://github.com/uber/petastorm,https://github.com/uber/petastorm,Apache-2.0,2018-06-15 23:15:29.000000,2021-01-21 09:49:35.000000,2021-01-20 17:12:35.000000,176,121.0,111.0,1055,614.0,Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets..,37.0,24,True,2020-12-15 18:37:49.000000,0.9.8,64.0,petastorm,,,,,24.0,24.0,https://pypi.org/project/petastorm,2020-12-15 18:37:49.000000,,29350.0,29359.0,,,,,,,,3.0,288.0,,,,,,,,,,,,,,,,,,,,,,\n367,TabPy,tableau/TabPy,,others,https://github.com/tableau/TabPy,https://github.com/tableau/TabPy,MIT,2016-09-27 21:26:03.000000,2021-01-21 10:00:33.000000,2020-11-11 19:10:12.000000,374,9.0,244.0,1016,818.0,Execute Python code on the fly and display results in Tableau visualizations:.,38.0,24,True,2020-11-11 19:06:41.000000,2.3.1,24.0,tabpy,,,,,43.0,43.0,https://pypi.org/project/tabpy,2020-11-11 19:06:41.000000,,1645.0,1645.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n368,Streamz,python-streamz/streamz,,time-series-data,https://github.com/python-streamz/streamz,https://github.com/python-streamz/streamz,BSD-3-Clause,2017-04-04 21:45:49.000000,2021-01-15 14:38:35.032000,2021-01-14 20:46:26.000000,112,89.0,127.0,897,733.0,Real-time stream processing for python.,38.0,24,True,2020-11-02 14:53:29.000000,0.6.1,14.0,streamz,conda-forge/streamz,,,,200.0,184.0,https://pypi.org/project/streamz,2020-11-02 14:53:29.000000,16.0,1931.0,4629.0,https://anaconda.org/conda-forge/streamz,2021-01-15 14:38:35.032000,107950.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n369,PySAL,pysal/pysal,,geospatial-data,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42.000000,2021-01-21 00:05:55.000000,2021-01-20 18:35:52.000000,241,58.0,582.0,813,4105.0,PySAL: Python Spatial Analysis Library Meta-Package.,70.0,24,True,2020-07-30 03:12:31.000000,2.3.0,24.0,pysal,conda-forge/pysal,,,,18.0,,https://pypi.org/project/pysal,2020-07-30 03:12:31.000000,18.0,9279.0,16610.0,https://anaconda.org/conda-forge/pysal,2020-07-30 10:24:58.290000,395914.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n370,kmodes,nicodv/kmodes,,others,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40.000000,2020-11-04 05:52:59.000000,2020-11-04 05:52:58.000000,336,19.0,106.0,801,448.0,\"Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data.\",16.0,24,True,2020-02-25 21:38:29.000000,0.10.2,12.0,kmodes,,,,,429.0,416.0,https://pypi.org/project/kmodes,2020-02-25 21:30:28.000000,13.0,48157.0,48157.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n371,ffn,pmorissette/ffn,,financial-data,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09.000000,2021-01-16 23:49:23.000000,2021-01-16 23:49:22.000000,174,16.0,63.0,750,306.0,ffn - a financial function library for Python.,23.0,24,True,2018-05-28 14:01:56.000000,0.3.4,25.0,ffn,,,,,112.0,96.0,https://pypi.org/project/ffn,2018-05-28 14:01:56.000000,16.0,10101.0,10101.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n372,ktrain,amaiya/ktrain,,ml-frameworks,https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39.000000,2021-01-18 01:53:46.000000,2020-12-26 22:34:52.000000,174,9.0,285.0,717,2137.0,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,12.0,24,True,2020-12-23 23:20:12.000000,0.25.3,145.0,ktrain,,,,['tensorflow'],113.0,112.0,https://pypi.org/project/ktrain,2020-12-05 17:43:35.000000,1.0,5206.0,5206.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n373,PennyLane,PennyLaneAI/PennyLane,,others,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000000,2021-01-21 15:52:22.000000,2021-01-21 15:41:52.000000,209,50.0,229.0,711,1756.0,PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum..,39.0,24,True,2020-12-22 16:10:22.000000,0.13.0-post2,18.0,pennylane,,,,,20.0,,https://pypi.org/project/pennylane,2020-11-27 18:07:34.000000,20.0,1602.0,1604.0,,,,,,,,2.0,52.0,,,,,,,,,,,,,,,,,,,,,,\n374,GPyOpt,SheffieldML/GPyOpt,,hyperopt,https://github.com/SheffieldML/GPyOpt,https://github.com/SheffieldML/GPyOpt,BSD-3-Clause,2014-08-13 09:58:25.000000,2020-11-17 10:32:02.000000,2020-11-05 15:16:04.000000,217,100.0,186.0,704,514.0,Gaussian Process Optimization using GPy.,49.0,24,True,2020-03-19 21:21:18.000000,1.2.6,11.0,gpyopt,,,,,203.0,167.0,https://pypi.org/project/gpyopt,2020-03-19 11:37:45.000000,36.0,4176.0,4176.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n375,pythreejs,jupyter-widgets/pythreejs,,data-viz,https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,BSD-3-Clause,2013-12-23 17:02:11.000000,2021-01-19 14:26:57.000000,2020-10-09 09:41:09.000000,156,60.0,137.0,697,1594.0,A Jupyter - Three.js bridge.,24.0,24,True,2020-03-19 11:32:37.000000,2.2.1,42.0,pythreejs,conda-forge/pythreejs,,,['jupyter'],36.0,15.0,https://pypi.org/project/pythreejs,2020-10-09 09:40:47.000000,13.0,5270.0,14496.0,https://anaconda.org/conda-forge/pythreejs,2020-10-12 12:24:08.446000,259680.0,,,,,3.0,,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,2020-03-19 11:22:13.041000,8.0,4589.0,,,,,,,,,,,,,,,,\n376,Hub,activeloopai/Hub,,ml-experiments,https://github.com/activeloopai/Hub,https://github.com/activeloopai/Hub,MPL-2.0,2018-03-16 17:41:09.422000,2021-01-21 13:53:31.000000,2021-01-21 06:57:02.000000,121,86.0,99.0,688,1474.0,The fastest way to access and manage datasets for PyTorch and TensorFlow. Easily build scalable data pipelines...,50.0,24,True,2021-01-15 15:42:04.000000,1.1.3,78.0,hub,conda-forge/hub,,,,167.0,115.0,https://pypi.org/project/hub,2021-01-15 15:42:04.000000,52.0,1100.0,3837.0,https://anaconda.org/conda-forge/hub,2020-04-22 15:22:17.632000,93090.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n377,CLTK,cltk/cltk,,nlp,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000000,2021-01-09 23:56:41.000000,2021-01-09 23:56:40.000000,297,125.0,357.0,628,2771.0,The Classical Language Toolkit.,107.0,24,True,2020-06-22 06:03:33.000000,0.1.121,160.0,cltk,,,,,218.0,150.0,https://pypi.org/project/cltk,2021-01-01 18:03:05.000000,68.0,1093.0,1093.0,,,,,,,,3.0,22.0,,,,,,,,,,,,,,,,,,,,,,\n378,pyjanitor,ericmjl/pyjanitor,,others,https://github.com/ericmjl/pyjanitor,https://github.com/ericmjl/pyjanitor,MIT,2018-03-04 22:43:33.000000,2021-01-17 11:47:33.000000,2020-12-31 02:32:49.000000,118,90.0,278.0,618,1162.0,Clean APIs for data cleaning. Python implementation of R package Janitor.,87.0,24,True,2020-10-03 12:24:35.000000,0.20.10,46.0,pyjanitor,conda-forge/pyjanitor,,,,77.0,75.0,https://pypi.org/project/pyjanitor,2020-10-03 12:24:35.000000,2.0,1394.0,3652.0,https://anaconda.org/conda-forge/pyjanitor,2020-10-04 12:30:53.707000,76773.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n379,pyahocorasick,WojciechMula/pyahocorasick,,nlp,https://github.com/WojciechMula/pyahocorasick,https://github.com/WojciechMula/pyahocorasick,BSD-3-Clause,2013-05-30 19:55:46.000000,2021-01-12 22:10:37.000000,2021-01-12 19:08:10.000000,86,31.0,65.0,570,397.0,Python module (C extension and plain python) implementing Aho-Corasick algorithm.,20.0,24,True,2018-12-20 19:06:01.000000,1.4.0,22.0,pyahocorasick,conda-forge/pyahocorasick,,,,538.0,474.0,https://pypi.org/project/pyahocorasick,2019-01-14 16:20:13.000000,64.0,85744.0,88633.0,https://anaconda.org/conda-forge/pyahocorasick,2020-10-13 12:20:05.350000,106913.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n380,Intake,intake/intake,,data-loading,https://github.com/intake/intake,https://github.com/intake/intake,BSD-2-Clause,2017-08-14 20:44:22.000000,2021-01-15 18:15:37.000000,2021-01-15 18:15:36.000000,91,75.0,189.0,520,1621.0,\"Intake is a lightweight package for finding, investigating, loading and disseminating data.\",51.0,24,True,2020-06-03 19:03:40.000000,0.6.0,19.0,intake,conda-forge/intake,,,,290.0,216.0,https://pypi.org/project/intake,2020-06-03 19:03:40.000000,74.0,2238.0,4375.0,https://anaconda.org/conda-forge/intake,2020-06-03 19:49:52.133000,55577.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n381,combo,yzhao062/combo,,sklearn-utils,https://github.com/yzhao062/combo,https://github.com/yzhao062/combo,BSD-2-Clause,2019-07-14 01:13:36.000000,2020-12-23 14:27:11.000000,2020-12-23 14:27:05.000000,81,7.0,3.0,473,201.0,A Python Toolbox for Machine Learning Model Combination.,1.0,24,True,2020-12-23 02:21:49.000000,0.1.2,12.0,combo,,,,\"['sklearn', 'xgboost']\",257.0,257.0,https://pypi.org/project/combo,2020-12-23 02:21:49.000000,0.0,72893.0,72893.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n382,SALib,SALib/SALib,,probabilistics,https://github.com/SALib/SALib,https://github.com/SALib/SALib,MIT,2013-05-30 13:38:10.000000,2021-01-20 02:04:22.000000,2021-01-20 02:04:21.000000,140,45.0,182.0,426,909.0,\"Sensitivity Analysis Library in Python (Numpy). Contains Sobol, Morris, Fractional Factorial and FAST methods.\",24.0,24,True,2020-11-12 17:13:12.000000,1.3.12,29.0,salib,conda-forge/salib,,,,44.0,,https://pypi.org/project/salib,2020-11-19 15:36:26.000000,44.0,11692.0,12824.0,https://anaconda.org/conda-forge/salib,2020-10-24 17:04:41.614000,56645.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n383,findspark,minrk/findspark,,others,https://github.com/minrk/findspark,https://github.com/minrk/findspark,BSD-3-Clause,2015-06-12 21:34:06.000000,2020-06-08 09:32:35.000000,2020-06-08 09:31:58.000000,64,11.0,8.0,386,67.0,Find pyspark to make it importable.,14.0,24,True,2020-06-08 09:32:23.000000,1.4.2,12.0,findspark,conda-forge/findspark,,,['spark'],1667.0,1465.0,https://pypi.org/project/findspark,2020-06-08 09:32:23.000000,202.0,517621.0,526352.0,https://anaconda.org/conda-forge/findspark,2018-07-06 12:57:33.438000,480218.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n384,sklearn-crfsuite,TeamHG-Memex/sklearn-crfsuite,,sklearn-utils,https://github.com/TeamHG-Memex/sklearn-crfsuite,https://github.com/TeamHG-Memex/sklearn-crfsuite,MIT,2015-11-26 21:15:41.000000,2020-12-30 08:00:27.000000,2019-12-05 08:17:22.000000,153,34.0,20.0,356,46.0,scikit-learn inspired API for CRFsuite.,6.0,24,False,2017-06-22 18:49:27.000000,0.3.6,9.0,sklearn-crfsuite,,,,['sklearn'],2799.0,2403.0,https://pypi.org/project/sklearn-crfsuite,2017-06-22 18:49:27.000000,396.0,35026.0,35026.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n385,GeoViews,holoviz/geoviews,,geospatial-data,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000000,2020-11-13 20:59:34.000000,2020-09-21 16:31:16.000000,60,78.0,169.0,326,635.0,\"Simple, concise geographical visualization in Python.\",21.0,24,True,2020-09-23 18:59:07.000000,1.8.0,21.0,geoviews,conda-forge/geoviews,,,,202.0,192.0,https://pypi.org/project/geoviews,2020-03-30 19:17:21.000000,10.0,1104.0,2702.0,https://anaconda.org/conda-forge/geoviews,2020-09-23 20:06:48.808000,54349.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n386,ml-metadata,google/ml-metadata,,ml-experiments,https://github.com/google/ml-metadata,https://github.com/google/ml-metadata,Apache-2.0,2019-01-15 21:02:09.000000,2021-01-20 04:56:26.000000,2021-01-20 04:56:20.000000,56,15.0,39.0,259,454.0,For recording and retrieving metadata associated with ML developer and data scientist workflows.,11.0,24,True,2020-12-15 18:49:42.000000,0.26.0,21.0,ml-metadata,,,,,65.0,65.0,https://pypi.org/project/ml-metadata,2020-12-15 18:49:42.000000,0.0,233049.0,233103.0,,,,,,,,2.0,1200.0,,,,,,,,,,,,,,,,,,,,,,\n387,datalad,datalad/datalad,,others,https://github.com/datalad/datalad,https://github.com/datalad/datalad,MIT,2013-11-01 19:40:08.000000,2021-01-21 14:13:48.000000,2021-01-21 14:13:05.000000,68,711.0,2199.0,220,13305.0,\"Keep code, data, containers under control with git and git-annex.\",40.0,24,True,2021-01-04 16:19:04.000000,0.13.7,62.0,datalad,conda-forge/datalad,,,,26.0,,https://pypi.org/project/datalad,2020-12-14 16:07:46.000000,26.0,1284.0,3558.0,https://anaconda.org/conda-forge/datalad,2021-01-04 20:08:46.439000,77326.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n388,Facets Overview,pair-code/facets,,data-viz,https://github.com/PAIR-code/facets,https://github.com/PAIR-code/facets,Apache-2.0,2017-07-07 14:03:03.000000,2020-10-27 19:51:23.000000,2020-10-27 19:51:22.000000,791,72.0,75.0,6478,259.0,Visualizations for machine learning datasets.,27.0,23,True,2019-07-24 15:33:29.000000,0.9.1,4.0,facets-overview,,,,['jupyter'],38.0,38.0,https://pypi.org/project/facets-overview,2019-07-24 15:33:29.000000,,25777.0,25777.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n389,Ciphey,Ciphey/Ciphey,,nlp,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39.000000,2021-01-19 00:22:53.000000,2021-01-19 00:22:51.000000,340,47.0,172.0,6154,1728.0,\"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.\",38.0,23,True,2020-12-02 12:36:44.000000,5.11.0,43.0,ciphey,,remnux/ciphey,,,,,https://pypi.org/project/ciphey,2020-12-02 12:36:44.000000,,3020.0,3432.0,,,,https://hub.docker.com/r/remnux/ciphey,2020-12-17 02:51:41.340501,1.0,7424.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n390,EfficientNet-PyTorch,lukemelas/EfficientNet-PyTorch,,pytorch-utils,https://github.com/lukemelas/EfficientNet-PyTorch,https://github.com/lukemelas/EfficientNet-PyTorch,Apache-2.0,2019-05-30 05:24:11.000000,2020-12-28 15:43:30.000000,2020-10-09 16:24:04.000000,1048,104.0,117.0,5358,141.0,A PyTorch implementation of EfficientNet.,21.0,23,True,2020-08-26 03:00:05.000000,0.7.0,12.0,efficientnet-pytorch,,,,['pytorch'],7.0,,https://pypi.org/project/efficientnet-pytorch,2020-08-26 03:00:05.000000,7.0,29008.0,58806.0,,,,,,,,2.0,297988.0,,,,,,,,,,,,,,,,,,,,,,\n391,snownlp,isnowfy/snownlp,,chinese-nlp,https://github.com/isnowfy/snownlp,https://github.com/isnowfy/snownlp,MIT,2013-11-26 11:46:56.000000,2020-01-19 02:39:05.000000,2020-01-19 02:39:03.000000,1236,33.0,65.0,5248,57.0,Python library for processing Chinese text.,8.0,23,True,2015-09-27 16:35:23.000000,0.12.3,17.0,snownlp,,,,,545.0,507.0,https://pypi.org/project/snownlp,2015-09-27 16:35:23.000000,38.0,3175.0,3175.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n392,Apex,NVIDIA/apex,,gpu-utilities,https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000000,2021-01-20 10:15:37.000000,2021-01-20 10:06:44.000000,656,425.0,360.0,4972,829.0,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,77.0,23,True,,,1.0,,conda-forge/nvidia-apex,,,['pytorch'],428.0,428.0,,,,,1936.0,https://anaconda.org/conda-forge/nvidia-apex,2020-11-23 18:41:00.769000,29046.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n393,Face Alignment,1adrianb/face-alignment,,image,https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44.000000,2020-12-30 17:11:07.000000,2020-12-30 17:11:06.000000,1002,30.0,190.0,4624,196.0,2D and 3D Face alignment library build using pytorch.,21.0,23,True,2020-12-22 21:34:55.000000,1.3.3,9.0,face-alignment,,,,['pytorch'],6.0,,https://pypi.org/project/face-alignment,2020-12-22 21:34:55.000000,6.0,4224.0,4224.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n394,flashtext,vi3k6i5/flashtext,,nlp,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01.000000,2020-06-05 00:37:46.000000,2020-05-03 07:13:22.000000,521,48.0,49.0,4618,108.0,Extract Keywords from sentence or Replace keywords in sentences.,8.0,23,True,,,18.0,flashtext,,,,,373.0,341.0,https://pypi.org/project/flashtext,2018-02-16 05:24:17.000000,32.0,212581.0,212581.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n395,PaddleHub,PaddlePaddle/PaddleHub,,others,https://github.com/PaddlePaddle/PaddleHub,https://github.com/PaddlePaddle/PaddleHub,Apache-2.0,2018-12-21 06:00:48.000000,2021-01-21 12:18:54.000000,2021-01-20 03:28:37.000000,996,269.0,379.0,4450,,\"Awesome pre-trained models toolkit based on PaddlePaddle.180+ models including Image, Text, Audio and Video with Easy..\",32.0,23,True,2021-01-06 12:04:54.000000,2.0.0-rc0,39.0,paddlehub,,,,['paddle'],78.0,78.0,https://pypi.org/project/paddlehub,2021-01-06 11:57:01.000000,0.0,1522.0,1541.0,,,,,,,,3.0,438.0,,,,,,,,,,,,,,,,,,,,,,\n396,DeepSpeed,microsoft/DeepSpeed,,distributed-ml,https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,MIT,2020-01-23 18:35:18.000000,2021-01-21 01:31:58.000000,2021-01-20 20:51:26.000000,361,120.0,153.0,3989,404.0,\"DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.\",39.0,23,True,2021-01-12 18:17:34.000000,0.3.10,18.0,deepspeed,,deepspeed/deepspeed,,['pytorch'],8.0,8.0,https://pypi.org/project/deepspeed,2021-01-08 21:03:38.000000,,1471.0,2039.0,,,,https://hub.docker.com/r/deepspeed/deepspeed,2020-11-20 00:17:12.819964,2.0,6827.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n397,Great Expectations,great-expectations/great_expectations,,data-pipelines,https://github.com/great-expectations/great_expectations,https://github.com/great-expectations/great_expectations,Apache-2.0,2017-09-11 00:18:46.000000,2021-01-21 15:45:57.000000,2021-01-21 15:12:08.000000,387,167.0,591.0,3464,,Always know what to expect from your data.,139.0,23,True,2021-01-19 19:11:05.000000,0.13.5,96.0,great_expectations,,,,,6.0,,https://pypi.org/project/great_expectations,2021-01-19 19:02:47.000000,6.0,334856.0,334856.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n398,VisualDL,PaddlePaddle/VisualDL,,ml-experiments,https://github.com/PaddlePaddle/VisualDL,https://github.com/PaddlePaddle/VisualDL,Apache-2.0,2017-12-20 12:34:31.000000,2021-01-20 09:30:50.000000,2021-01-19 10:22:58.000000,438,23.0,312.0,3196,,Deep Learning Visualization Toolkit.,28.0,23,True,2020-12-29 13:20:08.000000,2.1.0,30.0,visualdl,,,,['paddle'],146.0,136.0,https://pypi.org/project/visualdl,2020-12-29 09:00:11.000000,10.0,4661.0,4670.0,,,,,,,,3.0,67.0,,,,,,,,,,,,,,,,,,,,,,\n399,PyAlgoTrade,gbeced/pyalgotrade,,financial-data,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54.000000,2020-12-24 18:41:56.000000,2018-08-21 02:42:52.000000,1139,38.0,81.0,3134,1156.0,Python Algorithmic Trading Library.,11.0,23,False,,,8.0,pyalgotrade,,,,,88.0,67.0,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25.000000,21.0,672.0,672.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n400,TensorWatch,microsoft/tensorwatch,,ml-experiments,https://github.com/microsoft/tensorwatch,https://github.com/microsoft/tensorwatch,MIT,2019-05-15 08:29:34.000000,2021-01-18 03:05:57.000000,2021-01-15 19:46:05.000000,309,48.0,15.0,3010,112.0,\"Debugging, monitoring and visualization for Python Machine Learning and Data Science.\",13.0,23,True,2020-03-04 07:26:22.000000,0.9.1,14.0,tensorwatch,,,,,51.0,45.0,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22.000000,6.0,11862.0,11862.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n401,Camelot,atlanhq/camelot,,data-loading,https://github.com/atlanhq/camelot,https://github.com/atlanhq/camelot,MIT,2016-06-18 11:48:49.000000,2020-07-27 12:28:15.000000,2019-10-15 05:25:40.000000,301,61.0,273.0,2965,446.0,Camelot: PDF Table Extraction for Humans.,23.0,23,False,2020-07-27 12:28:15.000000,0.8.2,21.0,camelot-py,,,,,10.0,,https://pypi.org/project/camelot-py,2020-07-27 12:28:15.000000,10.0,20017.0,20017.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n402,segmentation_models,qubvel/segmentation_models,,image,https://github.com/qubvel/segmentation_models,https://github.com/qubvel/segmentation_models,MIT,2018-06-05 13:27:56.000000,2020-12-13 13:48:40.000000,2020-04-17 09:51:20.000000,666,143.0,236.0,2889,204.0,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,14.0,23,True,2020-01-10 11:36:02.000000,1.0.1,8.0,segmentation_models,,,,['tensorflow'],12.0,,https://pypi.org/project/segmentation_models,2020-01-10 11:36:02.000000,12.0,11948.0,11948.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n403,xLearn,aksnzhy/xlearn,,ml-frameworks,https://github.com/aksnzhy/xlearn,https://github.com/aksnzhy/xlearn,Apache-2.0,2017-06-10 08:09:31.000000,2020-07-06 19:54:25.000000,2020-03-03 10:12:35.000000,484,177.0,107.0,2825,1340.0,\"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..\",30.0,23,True,2019-04-25 02:10:05.000000,0.4.4,15.0,xlearn,,,,,41.0,40.0,https://pypi.org/project/xlearn,2018-12-04 11:05:06.000000,1.0,6402.0,6468.0,,,,,,,,3.0,2264.0,,,,,,,,,,,,,,,,,,,,,,\n404,SHOGUN,shogun-toolbox/shogun,,ml-frameworks,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32.000000,2021-01-19 16:09:56.000000,2020-12-08 16:56:38.000000,1014,544.0,1068.0,2785,16205.0,Unified and efficient Machine Learning.,248.0,23,True,2019-07-05 10:23:31.000000,shogun_6.1.4,10.0,,conda-forge/shogun,shogun/shogun,,,,,,,,,2149.0,https://anaconda.org/conda-forge/shogun,2018-06-25 20:49:17.070000,89756.0,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1440.0,3.0,,,,,,,,,,shogun,,,,,,,,,,,,,\n405,keras-vis,raghakot/keras-vis,,interpretability,https://github.com/raghakot/keras-vis,https://github.com/raghakot/keras-vis,MIT,2016-11-11 23:27:34.000000,2020-04-20 01:03:13.000000,2020-04-20 01:03:12.000000,583,113.0,99.0,2774,195.0,Neural network visualization toolkit for keras.,10.0,23,True,2017-07-06 04:55:04.000000,0.4.1,11.0,keras-vis,,,,['tensorflow'],688.0,660.0,https://pypi.org/project/keras-vis,2017-07-06 04:55:04.000000,28.0,1920.0,1920.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n406,MMLSpark,Azure/mmlspark,,distributed-ml,https://github.com/Azure/mmlspark,https://github.com/Azure/mmlspark,MIT,2017-06-05 08:23:44.000000,2021-01-19 20:24:30.000000,2021-01-19 20:24:29.000000,492,196.0,212.0,2231,768.0,Microsoft Machine Learning for Apache Spark.,61.0,23,True,2020-10-02 19:36:01.000000,1.0.0-rc3,17.0,mmlspark,,,,['spark'],,,https://pypi.org/project/mmlspark,2020-03-18 01:27:31.000000,,30347.0,30347.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n407,neuralcoref,huggingface/neuralcoref,,nlp,https://github.com/huggingface/neuralcoref,https://github.com/huggingface/neuralcoref,MIT,2017-07-03 13:04:16.000000,2020-12-29 21:22:55.000000,2020-12-29 21:22:53.000000,380,41.0,215.0,2173,113.0,Fast Coreference Resolution in spaCy with Neural Networks.,20.0,23,True,2019-04-08 11:28:27.000000,4.0.0,5.0,neuralcoref,conda-forge/neuralcoref,,,,295.0,277.0,https://pypi.org/project/neuralcoref,2019-04-08 08:53:12.000000,18.0,2633.0,3152.0,https://anaconda.org/conda-forge/neuralcoref,2020-02-21 22:10:40.453000,5685.0,,,,,3.0,162.0,,,,,,,,,,,,,,,,,,,,,,\n408,scikit-plot,reiinakano/scikit-plot,,interpretability,https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59.000000,2020-07-22 16:19:25.000000,2018-08-19 12:37:47.000000,244,21.0,38.0,2025,130.0,An intuitive library to add plotting functionality to scikit-learn objects.,13.0,23,False,2018-08-19 12:21:01.000000,0.3.7,27.0,scikit-plot,conda-forge/scikit-plot,,,['sklearn'],738.0,711.0,https://pypi.org/project/scikit-plot,2018-08-19 12:18:46.000000,27.0,38605.0,40491.0,https://anaconda.org/conda-forge/scikit-plot,2019-06-05 14:23:59.043000,79239.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n409,ART,Trusted-AI/adversarial-robustness-toolbox,,adversarial,https://github.com/Trusted-AI/adversarial-robustness-toolbox,https://github.com/Trusted-AI/adversarial-robustness-toolbox,MIT,2018-03-15 14:40:43.000000,2021-01-21 14:07:11.000000,2021-01-11 13:39:25.000000,563,75.0,329.0,1963,,\"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..\",59.0,23,True,2021-01-09 02:13:17.000000,1.5.1,27.0,adversarial-robustness-toolbox,,,,,99.0,99.0,https://pypi.org/project/adversarial-robustness-toolbox,2021-01-09 02:13:17.000000,0.0,1773.0,1773.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n410,Enigma Catalyst,enigmampc/catalyst,,financial-data,https://github.com/enigmampc/catalyst,https://github.com/enigmampc/catalyst,Apache-2.0,2017-06-13 22:31:34.000000,2021-01-05 19:10:30.000000,2020-12-28 10:58:58.000000,589,134.0,363.0,1949,6362.0,An Algorithmic Trading Library for Crypto-Assets in Python.,144.0,23,True,2018-09-13 15:09:58.000000,0.5.21,52.0,enigma-catalyst,,,,,20.0,20.0,https://pypi.org/project/enigma-catalyst,2018-11-11 16:46:28.000000,,322.0,322.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n411,Gradio,gradio-app/gradio,,others,https://github.com/gradio-app/gradio,https://github.com/gradio-app/gradio,Apache-2.0,2018-12-19 08:24:04.000000,2021-01-20 16:48:00.000000,2021-01-20 16:47:46.000000,121,5.0,59.0,1934,899.0,\"Wrap UIs around any model, share with anyone.\",14.0,23,True,2020-12-23 21:56:57.000000,1.4.0,77.0,gradio,,,,,61.0,60.0,https://pypi.org/project/gradio,2020-12-23 21:56:57.000000,1.0,1382.0,1382.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n412,Acme,deepmind/acme,,reinforcement-learning,https://github.com/deepmind/acme,https://github.com/deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000000,2021-01-20 11:34:49.000000,2021-01-20 11:34:19.000000,180,37.0,44.0,1873,328.0,A library of reinforcement learning components and agents.,29.0,23,True,2020-10-23 15:59:12.000000,0.2.0,8.0,dm-acme,,,,['tensorflow'],18.0,18.0,https://pypi.org/project/dm-acme,2020-07-24 13:03:30.000000,,541.0,541.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n413,GluonTS,awslabs/gluon-ts,,time-series-data,https://github.com/awslabs/gluon-ts,https://github.com/awslabs/gluon-ts,Apache-2.0,2019-05-15 17:17:29.000000,2021-01-21 12:23:09.000000,2021-01-19 22:19:06.000000,357,180.0,344.0,1680,641.0,Probabilistic time series modeling in Python.,67.0,23,True,2020-12-08 15:07:54.000000,0.6.4,27.0,gluonts,,,,['mxnet'],,,https://pypi.org/project/gluonts,2020-12-08 15:07:54.000000,,19286.0,19286.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n414,Spektral,danielegrattarola/spektral,,graph,https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10.000000,2021-01-21 09:04:13.000000,2021-01-21 09:04:05.000000,188,21.0,94.0,1587,451.0,Graph Neural Networks with Keras and Tensorflow 2.,16.0,23,True,2021-01-07 18:03:04.000000,1.0.4,27.0,spektral,,,,\"['tensorflow\"\"']\",26.0,26.0,https://pypi.org/project/spektral,2021-01-07 18:03:04.000000,0.0,1557.0,1557.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n415,vidgear,abhiTronix/vidgear,,image,https://github.com/abhiTronix/vidgear,https://github.com/abhiTronix/vidgear,Apache-2.0,2019-03-17 02:42:42.000000,2021-01-17 14:39:30.000000,2021-01-01 04:26:42.000000,113,4.0,128.0,1569,547.0,High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features.,5.0,23,True,2021-01-01 07:57:09.000000,0.2.0,12.0,vidgear,,,,,79.0,77.0,https://pypi.org/project/vidgear,2021-01-01 07:57:09.000000,2.0,1404.0,1417.0,,,,,,,,3.0,298.0,,,,,,,,,,,,,,,,,,,,,,\n416,Pillow-SIMD,uploadcare/pillow-simd,,image,https://github.com/uploadcare/pillow-simd,https://github.com/uploadcare/pillow-simd,PIL,2014-11-12 15:33:02.000000,2020-11-03 07:45:01.000000,2020-06-02 14:50:14.000000,65,11.0,53.0,1533,,The friendly PIL fork.,310.0,23,False,2020-01-02 05:19:26.000000,7.0.0,35.0,pillow-simd,,,,,407.0,357.0,https://pypi.org/project/pillow-simd,2020-01-26 14:30:27.000000,50.0,11738.0,11738.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n417,Multicore-TSNE,DmitryUlyanov/Multicore-TSNE,,data-viz,https://github.com/DmitryUlyanov/Multicore-TSNE,https://github.com/DmitryUlyanov/Multicore-TSNE,BSD-3-Clause,2016-10-19 05:46:52.000000,2020-12-20 08:15:51.000000,2020-08-19 14:58:00.000000,191,33.0,20.0,1524,113.0,Parallel t-SNE implementation with Python and Torch wrappers.,15.0,23,True,2017-11-08 13:32:20.000000,0.0.1,2.0,MulticoreTSNE,conda-forge/multicore-tsne,,,['pytorch'],216.0,202.0,https://pypi.org/project/MulticoreTSNE,2017-11-08 16:03:07.000000,14.0,2412.0,2637.0,https://anaconda.org/conda-forge/multicore-tsne,2018-11-12 17:08:01.525000,5867.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n418,sklearn-contrib-lightning,scikit-learn-contrib/lightning,,sklearn-utils,https://github.com/scikit-learn-contrib/lightning,https://github.com/scikit-learn-contrib/lightning,BSD-3-Clause,2012-01-11 13:53:52.000000,2021-01-05 05:54:02.000000,2021-01-04 18:02:23.000000,188,49.0,36.0,1421,700.0,\"Large-scale linear classification, regression and ranking in Python.\",16.0,23,True,2017-11-04 18:03:11.000000,0.5.0,7.0,sklearn-contrib-lightning,conda-forge/sklearn-contrib-lightning,,,['sklearn'],77.0,72.0,https://pypi.org/project/sklearn-contrib-lightning,2020-12-16 17:25:20.000000,5.0,345.0,2684.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2020-12-20 22:58:20.890000,126352.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n419,bonobo,python-bonobo/bonobo,,data-pipelines,https://github.com/python-bonobo/bonobo,https://github.com/python-bonobo/bonobo,Apache-2.0,2016-12-09 04:03:23.000000,2021-01-01 05:32:02.000000,2021-01-01 05:32:01.000000,111,62.0,106.0,1374,978.0,Extract Transform Load for Python 3.5+.,36.0,23,True,2019-05-16 13:19:48.000000,0.6.4,38.0,bonobo,,,http://docs.bonobo-project.org/en/master/,,130.0,106.0,https://pypi.org/project/bonobo,2019-07-20 13:33:19.000000,24.0,2031.0,2031.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n420,Pandaral·lel,nalepae/pandarallel,,data-containers,https://github.com/nalepae/pandarallel,https://github.com/nalepae/pandarallel,BSD-3-Clause,2019-03-10 11:58:29.000000,2020-12-16 13:29:31.000000,2020-12-16 13:29:29.000000,92,60.0,53.0,1335,110.0,A simple and efficient tool to parallelize Pandas operations on all availableCPUs.,13.0,23,True,2020-08-25 16:33:28.000000,1.5.1,28.0,pandarallel,,,,\"['pandas', 'jupyter']\",138.0,138.0,https://pypi.org/project/pandarallel,2020-08-25 16:33:28.000000,0.0,38574.0,38574.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n421,TextAttack,QData/TextAttack,,adversarial,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000000,2021-01-21 11:55:11.000000,2021-01-15 17:37:07.000000,128,26.0,88.0,1194,1908.0,\"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP.\",31.0,23,True,2020-12-27 05:23:02.000000,0.2.15,35.0,textattack,,,,,15.0,15.0,https://pypi.org/project/textattack,2020-12-27 05:23:02.000000,0.0,746.0,746.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n422,MLBox,AxeldeRomblay/MLBox,,hyperopt,https://github.com/AxeldeRomblay/MLBox,https://github.com/AxeldeRomblay/MLBox,BSD-1-Clause,2017-06-01 16:59:24.000000,2020-11-24 17:57:08.000000,2020-08-25 09:26:27.000000,242,10.0,72.0,1179,1121.0,MLBox is a powerful Automated Machine Learning python library.,9.0,23,False,2020-08-25 09:32:37.000000,0.8.5,21.0,mlbox,,,,,20.0,20.0,https://pypi.org/project/mlbox,2020-08-25 09:32:37.000000,,1922.0,1922.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n423,sense2vec,explosion/sense2vec,,nlp,https://github.com/explosion/sense2vec,https://github.com/explosion/sense2vec,MIT,2016-01-23 22:15:49.000000,2020-12-10 16:03:25.000000,2020-05-29 21:31:20.000000,196,15.0,78.0,1145,437.0,Contextually-keyed word vectors.,14.0,23,True,2019-11-22 17:40:43.000000,1.0.2,17.0,sense2vec,conda-forge/sense2vec,,,,54.0,48.0,https://pypi.org/project/sense2vec,2019-11-22 15:49:11.000000,6.0,2401.0,3662.0,https://anaconda.org/conda-forge/sense2vec,2020-03-16 22:19:07.337000,14260.0,,,,,3.0,12211.0,,,,,,,,,,,,,,,,,,,,,,\n424,metric-learn,scikit-learn-contrib/metric-learn,,others,https://github.com/scikit-learn-contrib/metric-learn,https://github.com/scikit-learn-contrib/metric-learn,MIT,2013-11-02 08:29:47.000000,2020-08-04 01:35:49.000000,2020-08-04 01:35:39.000000,205,47.0,109.0,1101,263.0,Metric learning algorithms in Python.,19.0,23,True,2020-07-02 12:55:51.000000,0.6.2,10.0,metric-learn,,,,['sklearn'],125.0,116.0,https://pypi.org/project/metric-learn,2020-07-02 12:59:23.000000,9.0,14495.0,14495.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n425,garage,rlworkgroup/garage,,reinforcement-learning,https://github.com/rlworkgroup/garage,https://github.com/rlworkgroup/garage,MIT,2018-06-10 21:31:23.000000,2021-01-21 05:44:55.000000,2021-01-14 18:31:32.000000,188,182.0,769.0,1036,1187.0,A toolkit for reproducible reinforcement learning research.,73.0,23,True,2020-09-17 07:34:11.000000,2020.6.3,21.0,garage,,,,['tensorflow'],13.0,13.0,https://pypi.org/project/garage,2020-10-02 17:16:03.000000,,186.0,186.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n426,livelossplot,stared/livelossplot,,ml-experiments,https://github.com/stared/livelossplot,https://github.com/stared/livelossplot,MIT,2018-03-10 17:51:43.000000,2020-11-30 21:45:57.000000,2020-11-16 19:06:21.000000,126,5.0,67.0,1021,304.0,\"Live training loss plot in Jupyter Notebook for Keras, PyTorch and others.\",15.0,23,True,2020-07-24 12:17:19.000000,0.5.3,23.0,livelossplot,,,,['jupyter'],433.0,428.0,https://pypi.org/project/livelossplot,2020-07-24 12:17:19.000000,5.0,10904.0,10904.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n427,Optimus,ironmussa/Optimus,,data-pipelines,https://github.com/ironmussa/Optimus,https://github.com/ironmussa/Optimus,Apache-2.0,2017-07-13 02:31:18.000000,2021-01-20 22:14:38.000000,2021-01-20 22:13:00.000000,189,139.0,165.0,968,3520.0,\"Agile Data Preparation Workflows madeeasy with dask, cudf, dask_cudf and pyspark.\",21.0,23,True,2020-07-19 03:05:40.000000,2.2.32,85.0,optimuspyspark,,,,['spark'],12.0,12.0,https://pypi.org/project/optimuspyspark,2019-05-30 02:22:54.000000,,4521.0,4521.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n428,tensorly,tensorly/tensorly,,others,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52.000000,2021-01-03 14:51:29.000000,2021-01-03 14:51:11.000000,186,24.0,94.0,949,865.0,TensorLy: Tensor Learning in Python.,38.0,23,True,2020-12-07 20:30:41.000000,0.5.1,16.0,tensorly,conda-forge/tensorly,,,,20.0,,https://pypi.org/project/tensorly,2020-12-07 20:30:41.000000,20.0,2337.0,5773.0,https://anaconda.org/conda-forge/tensorly,2020-12-07 22:44:30.386000,109963.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n429,ChainerRL,chainer/chainerrl,,reinforcement-learning,https://github.com/chainer/chainerrl,https://github.com/chainer/chainerrl,MIT,2017-01-30 04:58:15.000000,2020-12-09 06:26:53.000000,2020-12-09 06:26:52.000000,206,75.0,146.0,922,3458.0,ChainerRL is a deep reinforcement learning library built on top of Chainer.,29.0,23,True,2020-02-14 05:35:56.000000,0.8.0,10.0,chainerrl,,,,,102.0,88.0,https://pypi.org/project/chainerrl,2020-02-14 05:35:56.000000,14.0,499.0,499.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n430,spacy-transformers,explosion/spacy-transformers,,nlp,https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000000,2021-01-19 17:12:31.000000,2021-01-19 09:22:54.000000,99,48.0,134.0,876,1255.0,\"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.\",15.0,23,True,2020-06-29 12:10:14.000000,0.6.2,34.0,spacy-transformers,,,,['spacy'],78.0,72.0,https://pypi.org/project/spacy-transformers,2021-01-19 07:25:30.000000,6.0,8706.0,8706.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n431,luminol,linkedin/luminol,,time-series-data,https://github.com/linkedin/luminol,https://github.com/linkedin/luminol,Apache-2.0,2015-11-18 23:16:33.000000,2020-12-27 09:54:35.000000,2018-01-09 07:46:55.000000,178,24.0,12.0,865,69.0,Anomaly Detection and Correlation library.,8.0,23,False,2016-01-20 01:01:44.000000,0.3.1,5.0,luminol,,,,,49.0,37.0,https://pypi.org/project/luminol,2017-12-11 06:04:15.000000,12.0,151161.0,151161.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n432,keract,philipperemy/keract,,interpretability,https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57.000000,2021-01-20 01:16:04.000000,2021-01-09 21:38:17.000000,175,2.0,74.0,845,351.0,Activation Maps (Layers Outputs) and Gradients in Keras.,15.0,23,True,2020-12-30 19:38:30.000000,4.3.4,36.0,keract,,,,['tensorflow'],71.0,66.0,https://pypi.org/project/keract,2020-12-22 09:35:27.000000,5.0,1388.0,1388.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n433,SciSpacy,allenai/scispacy,,nlp,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52.000000,2021-01-16 01:21:02.000000,2021-01-12 00:58:40.000000,118,17.0,129.0,782,796.0,A full spaCy pipeline and models for scientific/biomedical documents.,15.0,23,True,2020-10-16 17:13:40.000000,0.3.0,9.0,scispacy,,,,,214.0,202.0,https://pypi.org/project/scispacy,2020-10-16 17:13:40.000000,12.0,7092.0,7092.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n434,openTSNE,pavlin-policar/openTSNE,,data-viz,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000000,2021-01-08 15:19:01.004000,2021-01-08 11:25:11.000000,82,3.0,68.0,744,509.0,\"Extensible, parallel implementations of t-SNE.\",10.0,23,True,2021-01-08 12:20:43.000000,0.5.1,19.0,opentsne,conda-forge/opentsne,,,,174.0,170.0,https://pypi.org/project/opentsne,2021-01-08 12:20:43.000000,4.0,7205.0,10130.0,https://anaconda.org/conda-forge/opentsne,2021-01-08 15:19:01.004000,73141.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n435,PySwarms,ljvmiranda921/pyswarms,,others,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45.000000,2021-01-03 21:34:15.000000,2021-01-03 04:18:07.000000,230,16.0,153.0,710,405.0,A research toolkit for particle swarm optimization in Python.,42.0,23,True,2020-11-14 05:18:38.000000,.1.2.0,20.0,pyswarms,,,,,87.0,87.0,https://pypi.org/project/pyswarms,2021-01-03 21:34:15.000000,0.0,4543.0,4543.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n436,stockstats,jealous/stockstats,,financial-data,https://github.com/jealous/stockstats,https://github.com/jealous/stockstats,BSD-3-Clause,2016-06-05 15:21:22.000000,2020-12-10 07:08:11.000000,2020-10-17 10:59:35.000000,191,29.0,30.0,698,23.0,Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.,7.0,23,True,2020-10-17 11:10:43.000000,0.3.2,14.0,stockstats,,,,,185.0,161.0,https://pypi.org/project/stockstats,2020-10-17 11:10:43.000000,24.0,26218.0,26218.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n437,Hail,hail-is/hail,,medical-data,https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000000,2021-01-21 15:22:46.000000,2021-01-21 06:23:56.000000,181,323.0,1934.0,693,7617.0,Scalable genomic data analysis.,69.0,23,True,2020-12-03 19:29:37.000000,0.2.61,81.0,hail,,,,['spark'],28.0,28.0,https://pypi.org/project/hail,2020-12-03 19:29:37.000000,,852.0,852.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n438,Singer,singer-io/getting-started,,data-loading,https://github.com/singer-io/getting-started,https://github.com/singer-io/getting-started,AGPL-3.0,2016-10-31 16:53:56.000000,2020-12-04 20:57:23.000000,2020-12-04 20:57:19.000000,95,20.0,16.0,674,173.0,\"Standard for moving data between databases, web APIs, files, queues, and just about anything else you can think of.\",26.0,23,False,2019-11-04 21:43:38.000000,5.9.1,100.0,singer-python,,,,,300.0,,https://pypi.org/project/singer-python,2020-10-27 17:49:47.000000,300.0,55886.0,55886.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n439,TreeInterpreter,andosa/treeinterpreter,,interpretability,https://github.com/andosa/treeinterpreter,https://github.com/andosa/treeinterpreter,BSD-3-Clause,2015-08-02 20:26:21.000000,2021-01-10 20:20:58.000000,2021-01-10 20:14:03.000000,133,25.0,3.0,636,35.0,Package for interpreting scikit-learn's decision tree and random forest predictions.,10.0,23,True,2021-01-10 20:12:39.000000,0.2.3,5.0,treeinterpreter,,,,['sklearn'],133.0,115.0,https://pypi.org/project/treeinterpreter,2021-01-10 20:12:39.000000,18.0,62241.0,62241.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n440,arch,bashtage/arch,,financial-data,https://github.com/bashtage/arch,https://github.com/bashtage/arch,NCSA,2014-08-29 15:41:28.000000,2021-01-19 08:30:21.000000,2021-01-19 08:27:08.000000,158,18.0,122.0,635,747.0,ARCH models in Python.,26.0,23,False,2020-06-24 19:19:12.000000,4.15,26.0,arch,,,,,283.0,241.0,https://pypi.org/project/arch,2020-06-24 19:20:21.000000,42.0,28722.0,28722.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n441,PDPbox,SauceCat/PDPbox,,data-viz,https://github.com/SauceCat/PDPbox,https://github.com/SauceCat/PDPbox,MIT,2017-06-26 08:01:54.000000,2021-01-13 08:25:09.000000,2018-12-08 10:06:13.000000,83,37.0,17.0,524,223.0,python partial dependence plot toolbox.,7.0,23,False,2018-07-23 13:33:35.000000,0.2.0,2.0,pdpbox,conda-forge/pdpbox,,,,329.0,295.0,https://pypi.org/project/pdpbox,2018-07-23 13:33:35.000000,34.0,38847.0,39156.0,https://anaconda.org/conda-forge/pdpbox,2019-07-17 16:58:38.379000,5569.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n442,tinytag,devsnd/tinytag,,audio,https://github.com/devsnd/tinytag,https://github.com/devsnd/tinytag,MIT,2014-01-27 15:27:01.000000,2020-11-11 16:20:54.000000,2020-11-11 16:13:44.000000,78,14.0,60.0,431,308.0,\"Read music meta data and length of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA and Wave files with python 2 or 3.\",18.0,23,True,2020-11-05 12:44:52.000000,1.5.0,33.0,tinytag,,,,,392.0,296.0,https://pypi.org/project/tinytag,2020-11-05 12:44:52.000000,96.0,2587.0,2587.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n443,random-forest-importances,parrt/random-forest-importances,,interpretability,https://github.com/parrt/random-forest-importances,https://github.com/parrt/random-forest-importances,MIT,2018-03-22 19:20:13.000000,2021-01-08 18:35:14.000000,2021-01-08 18:35:13.000000,88,4.0,25.0,403,243.0,Code to compute permutation and drop-column importances in Python scikit-learn models.,14.0,23,True,2020-11-25 22:11:59.000000,1.3.6,21.0,rfpimp,,,,['sklearn'],60.0,58.0,https://pypi.org/project/rfpimp,2020-11-25 22:11:59.000000,2.0,12205.0,12205.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n444,messytables,okfn/messytables,,data-loading,https://github.com/okfn/messytables,https://github.com/okfn/messytables,MIT,2011-07-27 18:08:21.000000,2021-01-07 22:24:38.000000,2019-11-13 07:35:33.000000,97,30.0,55.0,359,601.0,Tools for parsing messy tabular data. This is now superseded by https://github.com/frictionlessdata/tabulator-py.,44.0,23,False,2017-02-09 12:37:47.000000,0.15.2,26.0,messytables,,,,,388.0,170.0,https://pypi.org/project/messytables,2017-02-09 12:37:47.000000,218.0,4370.0,4370.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n445,pySBD,nipunsadvilkar/pySBD,,nlp,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20.000000,2020-12-01 05:37:27.000000,2020-12-01 05:37:25.000000,25,4.0,43.0,265,274.0,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,6.0,23,True,2020-10-08 11:41:09.000000,0.3.3,14.0,pysbd,,,,,101.0,99.0,https://pypi.org/project/pysbd,2020-10-08 11:33:56.000000,2.0,8684.0,8684.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n446,SUOD,yzhao062/SUOD,,others,https://github.com/yzhao062/SUOD,https://github.com/yzhao062/SUOD,BSD-2-Clause,2019-11-20 00:23:54.000000,2021-01-19 14:42:08.000000,2021-01-19 14:42:01.000000,26,3.0,2.0,235,134.0,(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection).,1.0,23,True,2021-01-15 02:12:04.000000,0.0.6,7.0,suod,,,,,246.0,246.0,https://pypi.org/project/suod,2021-01-15 02:12:04.000000,,72545.0,72545.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n447,pysparkling,svenkreiss/pysparkling,,data-pipelines,https://github.com/svenkreiss/pysparkling,https://github.com/svenkreiss/pysparkling,MIT,2015-05-09 19:23:20.000000,2021-01-10 21:31:20.000000,2021-01-10 21:31:15.000000,43,1.0,20.0,232,1514.0,A pure Python implementation of Apache Spark's RDD and DStream interfaces.,9.0,23,True,2021-01-10 21:15:26.000000,0.6.1,68.0,pysparkling,,,,,70.0,56.0,https://pypi.org/project/pysparkling,2021-01-10 21:15:26.000000,14.0,4545.0,4545.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n448,TensorFlow Cloud,tensorflow/cloud,,tensorflow-utils,https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59.000000,2021-01-21 04:23:57.000000,2021-01-15 21:30:48.000000,43,46.0,25.0,218,499.0,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,16.0,23,True,2021-01-06 23:08:07.000000,0.1.11,14.0,tensorflow-cloud,,,,['tensorflow'],17.0,17.0,https://pypi.org/project/tensorflow-cloud,2021-01-06 23:08:07.000000,0.0,92481.0,92481.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n449,pyexcel-xlsx,pyexcel/pyexcel-xlsx,,data-loading,https://github.com/pyexcel/pyexcel-xlsx,https://github.com/pyexcel/pyexcel-xlsx,BSD-3-Clause,2014-12-02 00:03:24.000000,2020-11-28 22:30:58.000000,2020-11-28 22:30:53.000000,16,12.0,20.0,83,267.0,\"A wrapper library to read, manipulate and write data in xlsx and xlsm format using openpyxl.\",4.0,23,False,2020-10-10 13:13:09.000000,0.6.0,30.0,pyexcel-xlsx,conda-forge/pyexcel-xlsx,,,,1386.0,1076.0,https://pypi.org/project/pyexcel-xlsx,2019-12-28 20:09:57.000000,310.0,33465.0,33843.0,https://anaconda.org/conda-forge/pyexcel-xlsx,2020-10-10 15:53:49.660000,14775.0,,,,,3.0,46.0,,,,,,,,,,,,,,,,,,,,,,\n450,Vaex,vaexio/vaex,,data-containers,https://github.com/vaexio/vaex,https://github.com/vaexio/vaex,MIT,2014-09-27 09:44:42.000000,2021-01-21 11:46:42.000000,2021-01-21 11:46:37.000000,438,278.0,389.0,5655,2929.0,\"Out-of-Core DataFrames for Python, ML, visualize and explore big tabular data at a billion rows per second.\",38.0,22,True,2020-05-25 21:35:34.000000,3.0.0,43.0,vaex,conda-forge/vaex,,,,2.0,,https://pypi.org/project/vaex,2021-01-13 17:19:07.000000,2.0,3074.0,4916.0,https://anaconda.org/conda-forge/vaex,2020-06-01 18:35:17.510000,93848.0,,,,,3.0,199.0,,,,,,,,,,,,,,,,,,,,,,\n451,mmdnn,Microsoft/MMdnn,,model-serialisation,https://github.com/microsoft/MMdnn,https://github.com/microsoft/MMdnn,MIT,2017-08-16 08:03:52.000000,2020-10-22 09:57:53.000000,2020-08-14 02:32:30.000000,922,306.0,284.0,5175,1083.0,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,85.0,22,True,2020-07-24 06:34:39.000000,0.3.1,12.0,mmdnn,,,,,52.0,49.0,https://pypi.org/project/mmdnn,2020-07-24 06:34:39.000000,3.0,551.0,637.0,,,,,,,,2.0,3276.0,,,,,,,,,,,,,,,,,,,,,,\n452,neon,NervanaSystems/neon,,ml-frameworks,https://github.com/NervanaSystems/neon,https://github.com/NervanaSystems/neon,Apache-2.0,2014-10-16 01:00:17.000000,2020-12-23 01:21:42.000000,2019-05-22 18:27:54.000000,848,87.0,305.0,3852,1118.0,Intel Nervana reference deep learning framework committed to best performance on all hardware.,109.0,22,False,2018-01-05 23:25:04.000000,2.6.0,32.0,nervananeon,,,,,38.0,38.0,https://pypi.org/project/nervananeon,2018-01-05 23:25:04.000000,,137.0,140.0,,,,,,,,3.0,255.0,,,,,,,,,,,,,,,,,,,,,,\n453,Snips NLU,snipsco/snips-nlu,,nlp,https://github.com/snipsco/snips-nlu,https://github.com/snipsco/snips-nlu,Apache-2.0,2017-02-08 16:16:36.000000,2020-12-24 12:59:47.000000,2020-02-08 21:49:32.000000,458,50.0,196.0,3436,2153.0,Snips Python library to extract meaning from text.,21.0,22,True,2020-01-15 10:13:17.000000,0.20.2,58.0,snips-nlu,,,,,8.0,,https://pypi.org/project/snips-nlu,2020-01-15 10:13:17.000000,8.0,1035.0,1035.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n454,Image Deduplicator,idealo/imagededup,,image,https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54.000000,2020-12-21 13:30:38.000000,2020-11-23 17:40:40.000000,275,17.0,53.0,3343,460.0,Finding duplicate images made easy!.,9.0,22,True,2020-11-23 17:55:24.000000,0.2.4,9.0,imagededup,,,,['tensorflow'],9.0,8.0,https://pypi.org/project/imagededup,2020-11-22 21:09:36.000000,1.0,1454.0,1454.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n455,ArrayFire,arrayfire/arrayfire,,gpu-utilities,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000000,2021-01-21 14:19:55.000000,2021-01-11 17:01:02.000000,451,254.0,1197.0,3290,5670.0,ArrayFire: a general purpose GPU library.,80.0,22,True,2021-01-08 21:41:09.000000,3.8.0,30.0,arrayfire,,,,,2.0,,https://pypi.org/project/arrayfire,2018-10-18 14:13:29.000000,2.0,574.0,583.0,,,,,,,,2.0,606.0,,,,,,,,,,,,,,,,,,,,,,\n456,analytics-zoo,intel-analytics/analytics-zoo,,distributed-ml,https://github.com/intel-analytics/analytics-zoo,https://github.com/intel-analytics/analytics-zoo,Apache-2.0,2017-05-05 02:27:30.000000,2021-01-21 08:26:37.000000,2021-01-21 01:41:09.000000,631,426.0,511.0,2181,2537.0,\"Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray.\",81.0,22,True,2020-12-17 03:25:36.000000,0.9.0,46.0,analytics-zoo,,,,['spark'],2.0,2.0,https://pypi.org/project/analytics-zoo,2021-01-20 02:29:39.000000,,639.0,639.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n457,TF Ranking,tensorflow/ranking,,recommender-systems,https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57.000000,2021-01-21 08:07:51.000000,2020-08-19 20:44:22.000000,355,22.0,193.0,2019,213.0,Learning to Rank in TensorFlow.,17.0,22,True,2020-08-19 21:58:05.000000,0.3.2,14.0,tensorflow_ranking,,,,['tensorflow'],1.0,,https://pypi.org/project/tensorflow_ranking,2020-08-19 21:14:13.000000,1.0,17954.0,17954.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n458,Mars,mars-project/mars,,others,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03.000000,2021-01-21 14:47:27.000000,2021-01-21 03:17:02.000000,241,117.0,630.0,1997,692.0,\"Mars is a tensor-based unified framework for large-scale data computation which scales Numpy, pandas, Scikit-learn and..\",17.0,22,True,2021-01-17 14:22:18.000000,0.6.3,70.0,pymars,,,,,3.0,3.0,https://pypi.org/project/pymars,2021-01-17 12:33:23.000000,0.0,2218.0,2218.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n459,PandasGUI,adamerose/pandasgui,,data-viz,https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT,2019-06-12 02:19:42.000000,2021-01-11 20:52:31.000000,2021-01-11 20:12:34.000000,113,14.0,52.0,1983,403.0,A GUI for Pandas DataFrames.,7.0,22,True,2020-11-10 17:30:20.000000,0.2.7,37.0,pandasgui,,,,['pandas'],34.0,33.0,https://pypi.org/project/pandasgui,2020-11-10 17:30:20.000000,1.0,1657.0,1657.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n460,knockknock,huggingface/knockknock,,ml-experiments,https://github.com/huggingface/knockknock,https://github.com/huggingface/knockknock,MIT,2019-03-20 13:08:55.000000,2021-01-09 06:11:00.000000,2020-03-16 04:26:47.000000,158,12.0,21.0,1955,75.0,Knock Knock: Get notified when your training ends with only two additional lines of code.,18.0,22,True,2020-03-04 04:15:47.000000,0.1.8,10.0,knockknock,conda-forge/knockknock,,,,132.0,129.0,https://pypi.org/project/knockknock,2020-03-16 14:30:23.000000,3.0,1219.0,1572.0,https://anaconda.org/conda-forge/knockknock,2020-03-17 01:52:16.317000,5299.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n461,pytorch-nlp,PetrochukM/PyTorch-NLP,,nlp,https://github.com/PetrochukM/PyTorch-NLP,https://github.com/PetrochukM/PyTorch-NLP,BSD-3-Clause,2018-02-25 05:00:36.000000,2020-10-11 02:41:30.000000,2020-10-11 02:41:24.000000,223,14.0,49.0,1852,442.0,Basic Utilities for PyTorch Natural Language Processing (NLP).,17.0,22,True,2019-11-04 05:16:00.000000,0.5.0,19.0,pytorch-nlp,,,,['pytorch'],189.0,171.0,https://pypi.org/project/pytorch-nlp,2019-11-04 04:35:18.000000,18.0,2626.0,2626.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n462,PyFlux,RJT1990/pyflux,,time-series-data,https://github.com/RJT1990/pyflux,https://github.com/RJT1990/pyflux,BSD-3-Clause,2016-02-16 20:12:02.000000,2019-03-19 10:45:02.000000,2018-12-16 15:30:13.000000,208,79.0,65.0,1845,118.0,Open source time series library for Python.,6.0,22,False,2017-11-21 16:27:06.000000,0.4.16,35.0,pyflux,,,,,181.0,166.0,https://pypi.org/project/pyflux,2017-11-21 16:27:06.000000,15.0,10864.0,10864.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n463,scikit-opt,guofei9987/scikit-opt,,sklearn-utils,https://github.com/guofei9987/scikit-opt,https://github.com/guofei9987/scikit-opt,MIT,2017-12-05 10:20:41.000000,2021-01-07 07:01:36.000000,2021-01-07 07:01:35.000000,441,21.0,62.0,1834,237.0,\"Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune..\",8.0,22,True,2020-11-20 12:55:12.000000,0.6.1,18.0,scikit-opt,,,,['sklearn'],28.0,25.0,https://pypi.org/project/scikit-opt,2020-11-20 12:52:22.000000,3.0,879.0,879.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n464,m2cgen,BayesWitnesses/m2cgen,,model-serialisation,https://github.com/BayesWitnesses/m2cgen,https://github.com/BayesWitnesses/m2cgen,MIT,2019-01-13 02:32:55.000000,2021-01-21 05:04:27.000000,2020-10-07 17:33:12.000000,147,25.0,36.0,1735,227.0,\"Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart,..\",12.0,22,True,2020-09-18 19:17:26.000000,0.9.0,12.0,m2cgen,,,,,4.0,4.0,https://pypi.org/project/m2cgen,2020-09-18 19:16:17.000000,,8445.0,8445.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n465,MONAI,Project-MONAI/MONAI,,medical-data,https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000000,2021-01-21 14:12:02.000000,2021-01-21 14:11:37.000000,296,76.0,587.0,1724,741.0,AI Toolkit for Healthcare Imaging.,52.0,22,True,2020-12-15 15:21:13.000000,0.4.0,15.0,monai,,,,['pytorch'],,,https://pypi.org/project/monai,2020-12-15 15:16:56.000000,,3465.0,3465.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n466,DDSP,magenta/ddsp,,audio,https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27.000000,2021-01-20 23:09:10.000000,2021-01-20 23:08:59.000000,160,13.0,88.0,1718,347.0,DDSP: Differentiable Digital Signal Processing.,24.0,22,True,2021-01-14 01:59:27.000000,1.0.1,28.0,ddsp,,,,['tensorflow'],5.0,5.0,https://pypi.org/project/ddsp,2021-01-14 01:59:27.000000,,941.0,941.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n467,Essentia,MTG/essentia,,audio,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000000,2021-01-21 09:32:44.000000,2021-01-12 20:52:01.000000,395,307.0,559.0,1706,2698.0,\"C++ library for audio and music analysis, description and synthesis, including Python bindings.\",69.0,22,False,2015-03-31 16:33:30.000000,2.0,9.0,essentia,,,,,153.0,148.0,https://pypi.org/project/essentia,2021-01-13 00:12:18.000000,5.0,1067.0,1067.0,,,,,,,,3.0,,,,,,,,,,,,,-1.0,,,,,,,,,,\n468,STUMPY,TDAmeritrade/stumpy,,time-series-data,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000000,2021-01-21 14:10:43.000000,2021-01-21 14:10:24.000000,161,27.0,180.0,1640,794.0,\"STUMPY is a powerful and scalable Python library for computing a Matrix Profile, which can be used for a variety of..\",20.0,22,True,2021-01-20 23:33:17.000000,1.7.2,18.0,stumpy,conda-forge/stumpy,,,,0.0,,https://pypi.org/project/stumpy,2021-01-20 22:21:04.000000,0.0,14489.0,15229.0,https://anaconda.org/conda-forge/stumpy,2021-01-20 22:49:36.113000,14818.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n469,scattertext,JasonKessler/scattertext,,nlp,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12.000000,2021-01-18 15:00:35.497000,2021-01-18 09:12:39.000000,202,17.0,53.0,1488,338.0,Beautiful visualizations of how language differs among document types.,10.0,22,True,2017-03-13 05:31:21.000000,0.0.2.4.4,129.0,scattertext,conda-forge/scattertext,,,,152.0,144.0,https://pypi.org/project/scattertext,2021-01-18 09:01:42.000000,8.0,2053.0,3097.0,https://anaconda.org/conda-forge/scattertext,2021-01-18 15:00:35.497000,42844.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n470,fast-bert,kaushaltrivedi/fast-bert,,nlp,https://github.com/utterworks/fast-bert,https://github.com/utterworks/fast-bert,Apache-2.0,2019-04-18 22:01:20.000000,2020-12-17 21:05:51.000000,2020-12-17 21:05:43.000000,302,137.0,91.0,1481,262.0,Super easy library for BERT based NLP models.,34.0,22,True,2020-12-09 21:27:58.000000,1.9.5,40.0,fast-bert,,,,,2.0,,https://pypi.org/project/fast-bert,2020-12-09 21:27:58.000000,2.0,1638.0,1638.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,utterworks/fast-bert,,\n471,cleanlab,cgnorthcutt/cleanlab,,others,https://github.com/cgnorthcutt/cleanlab,https://github.com/cgnorthcutt/cleanlab,MIT,2018-05-11 01:55:21.000000,2021-01-10 15:00:49.000000,2021-01-10 15:00:49.000000,151,17.0,35.0,1430,697.0,The standard package for machine learning with noisy labels and finding mislabeled data in Python.,5.0,22,True,2020-02-17 07:33:06.000000,0.1.1,15.0,cleanlab,,,,,10.0,10.0,https://pypi.org/project/cleanlab,2020-02-17 07:33:06.000000,,2769.0,2769.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n472,anaGo,Hironsan/anago,,nlp,https://github.com/Hironsan/anago,https://github.com/Hironsan/anago,MIT,2017-06-26 21:28:36.000000,2020-11-13 17:31:18.000000,2019-10-23 03:19:52.000000,350,36.0,71.0,1373,296.0,\"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.\",11.0,22,False,2018-06-03 13:51:56.000000,1.0.0,14.0,anago,,,,['tensorflow'],25.0,25.0,https://pypi.org/project/anago,2018-07-17 01:59:21.000000,,1954.0,1954.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n473,Talos,autonomio/talos,,hyperopt,https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41.000000,2020-11-21 16:37:14.000000,2020-11-21 16:27:04.000000,222,41.0,343.0,1358,538.0,\"Hyperparameter Optimization for TensorFlow, Keras and PyTorch.\",19.0,22,True,2020-11-09 16:48:30.000000,1.0,13.0,talos,,,,['tensorflow'],112.0,106.0,https://pypi.org/project/talos,2020-11-09 16:46:45.000000,6.0,968.0,968.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n474,hnswlib,nmslib/hnswlib,,nn-search,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000000,2021-01-17 07:15:35.000000,2020-08-18 21:30:59.000000,235,80.0,104.0,1310,195.0,Header-only C++/python library for fast approximate nearest neighbors.,32.0,22,True,2020-07-13 04:50:55.000000,0.4.0,3.0,hnswlib,,,,,2.0,,https://pypi.org/project/hnswlib,2020-07-13 04:50:55.000000,2.0,14289.0,14289.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n475,fklearn,nubank/fklearn,,ml-frameworks,https://github.com/nubank/fklearn,https://github.com/nubank/fklearn,Apache-2.0,2019-02-27 14:32:57.000000,2020-11-20 18:13:27.000000,2020-11-20 18:13:25.000000,149,19.0,19.0,1295,111.0,fklearn: Functional Machine Learning.,35.0,22,True,2020-10-02 15:11:00.000000,1.21.0,19.0,fklearn,,,,,9.0,9.0,https://pypi.org/project/fklearn,2020-10-02 15:11:00.000000,,4840.0,4840.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n476,NiftyNet,NifTK/NiftyNet,,medical-data,https://github.com/NifTK/NiftyNet,https://github.com/NifTK/NiftyNet,Apache-2.0,2017-08-30 07:55:43.000000,2020-04-21 19:54:52.000000,2020-04-21 19:54:51.000000,374,99.0,224.0,1262,2848.0,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,58.0,22,True,2019-10-09 19:33:30.000000,0.6.0,11.0,niftynet,,,,['tensorflow'],33.0,33.0,https://pypi.org/project/niftynet,2019-10-10 10:59:33.000000,,151.0,151.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n477,EfficientNets,rwightman/gen-efficientnet-pytorch,,pytorch-utils,https://github.com/rwightman/gen-efficientnet-pytorch,https://github.com/rwightman/gen-efficientnet-pytorch,Apache-2.0,2019-05-11 19:35:56.000000,2020-11-30 05:51:08.000000,2020-11-30 05:49:27.000000,167,,46.0,1233,106.0,\"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.\",5.0,22,True,2020-08-20 19:55:21.000000,1.0.0,9.0,geffnet,,,,['pytorch'],29.0,29.0,https://pypi.org/project/geffnet,2020-08-20 19:55:21.000000,,1355.0,1355.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n478,pycm,sepandhaghighi/pycm,,others,https://github.com/sepandhaghighi/pycm,https://github.com/sepandhaghighi/pycm,MIT,2018-01-22 19:46:54.000000,2021-01-21 15:04:10.000000,2020-10-26 15:51:32.000000,92,13.0,151.0,1046,2508.0,Multi-class confusion matrix library in Python.,14.0,22,True,2020-10-26 16:31:56.000000,3.0,34.0,pycm,,,,,95.0,85.0,https://pypi.org/project/pycm,2020-10-26 16:32:30.000000,10.0,2002.0,2002.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n479,modAL,modAL-python/modAL,,others,https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000000,2021-01-07 09:54:00.000000,2021-01-07 09:40:40.000000,173,43.0,50.0,1009,648.0,A modular active learning framework for Python.,14.0,22,True,2021-01-07 09:47:49.000000,0.4.1,12.0,modAL,,,,['sklearn'],52.0,44.0,https://pypi.org/project/modAL,2021-01-07 09:47:49.000000,8.0,885.0,885.0,,,,,,,,3.0,2.0,,,,,,,,,,,,,,,,,,,,,,\n480,bt,pmorissette/bt,,financial-data,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28.000000,2021-01-16 23:21:35.000000,2021-01-16 23:21:34.000000,248,52.0,163.0,934,382.0,bt - flexible backtesting for Python.,20.0,22,True,2018-05-28 17:12:46.000000,0.2.7,23.0,bt,,,,,63.0,43.0,https://pypi.org/project/bt,2018-05-28 17:12:46.000000,20.0,3165.0,3165.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n481,pandasql,yhat/pandasql,,data-containers,https://github.com/yhat/pandasql,https://github.com/yhat/pandasql,MIT,2013-02-18 01:53:56.000000,2020-08-14 13:00:13.000000,2017-02-01 15:40:30.000000,141,44.0,23.0,934,127.0,sqldf for pandas.,15.0,22,False,2016-04-20 21:52:36.000000,0.7.3,31.0,pandasql,,,,['pandas'],673.0,624.0,https://pypi.org/project/pandasql,2016-04-20 21:52:36.000000,49.0,151037.0,151037.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n482,fancyimpute,iskandr/fancyimpute,,sklearn-utils,https://github.com/iskandr/fancyimpute,https://github.com/iskandr/fancyimpute,Apache-2.0,2015-11-05 23:39:34.000000,2020-12-09 07:14:51.000000,2020-08-27 15:27:19.000000,142,4.0,103.0,912,195.0,Multivariate imputation and matrix completion algorithms implemented in Python.,11.0,22,True,2020-07-16 21:36:59.000000,0.5.5,26.0,fancyimpute,,,,['sklearn'],665.0,644.0,https://pypi.org/project/fancyimpute,2020-07-16 21:36:59.000000,21.0,4371.0,4371.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n483,Alibi,SeldonIO/alibi,,interpretability,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Apache-2.0,2019-02-26 10:10:56.000000,2020-12-03 14:50:46.000000,2020-12-02 15:42:16.000000,101,65.0,73.0,860,226.0,Algorithms for monitoring and explaining machine learning models.,11.0,22,True,2020-10-20 14:14:29.000000,0.5.5,15.0,alibi,,,,,65.0,56.0,https://pypi.org/project/alibi,2020-10-20 14:13:40.000000,9.0,2075.0,2075.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n484,FinTA,peerchemist/finta,,financial-data,https://github.com/peerchemist/finta,https://github.com/peerchemist/finta,LGPL-3.0,2016-09-01 21:02:46.000000,2021-01-13 05:19:43.000000,2020-11-04 21:30:11.000000,288,9.0,58.0,796,364.0,Common financial technical indicators implemented in Pandas.,21.0,22,False,2020-10-21 11:36:19.000000,1.2,19.0,finta,,,,,55.0,51.0,https://pypi.org/project/finta,2020-10-21 11:39:44.000000,4.0,2859.0,2859.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n485,Neural Structured Learning,tensorflow/neural-structured-learning,,tensorflow-utils,https://github.com/tensorflow/neural-structured-learning,https://github.com/tensorflow/neural-structured-learning,Apache-2.0,2019-08-27 21:48:16.000000,2021-01-15 16:18:44.000000,2021-01-15 16:18:31.000000,138,5.0,38.0,768,352.0,Training neural models with structured signals.,26.0,22,True,2020-08-18 00:30:03.000000,1.3.1,7.0,neural-structured-learning,,,,['tensorflow'],23.0,23.0,https://pypi.org/project/neural-structured-learning,2020-08-18 00:35:35.000000,,2102.0,2102.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n486,minisom,JustGlowing/minisom,,others,https://github.com/JustGlowing/minisom,https://github.com/JustGlowing/minisom,CC-BY-3.0,2013-07-03 10:10:06.000000,2021-01-19 16:04:54.000000,2021-01-19 16:04:54.000000,241,8.0,61.0,760,425.0,MiniSom is a minimalistic implementation of the Self Organizing Maps.,20.0,22,False,2020-11-03 08:23:06.000000,2.2.7,14.0,minisom,,,,,137.0,133.0,https://pypi.org/project/minisom,2020-06-19 06:29:59.000000,4.0,6033.0,6033.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n487,Explainability 360,Trusted-AI/AIX360,,interpretability,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48.000000,2020-12-04 16:51:14.000000,2020-12-04 16:49:39.000000,168,26.0,18.0,753,305.0,Interpretability and explainability of data and machine learning models.,27.0,22,True,2020-10-28 09:32:21.000000,0.2.1,4.0,aix360,,,,,14.0,13.0,https://pypi.org/project/aix360,2020-10-28 09:18:17.000000,1.0,478.0,478.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n488,Opacus,pytorch/opacus,,privacy-ml,https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000000,2021-01-21 06:34:37.000000,2021-01-21 03:34:50.000000,90,5.0,49.0,718,205.0,Training PyTorch models with differential privacy.,23.0,22,True,2020-12-17 17:30:40.000000,0.11.0,6.0,opacus,,,,['pytorch'],11.0,11.0,https://pypi.org/project/opacus,2020-12-17 17:30:40.000000,,1200.0,1203.0,,,,,,,,2.0,30.0,,,,,,,,,,,,,,,,,,,,,,\n489,ogb,snap-stanford/ogb,,graph,https://github.com/snap-stanford/ogb,https://github.com/snap-stanford/ogb,MIT,2019-11-22 22:13:57.000000,2021-01-15 19:38:12.000000,2021-01-11 19:09:04.000000,98,1.0,87.0,716,395.0,\"Benchmark datasets, data loaders, and evaluators for graph machine learning.\",12.0,22,True,2020-12-29 18:13:08.000000,1.2.4,10.0,ogb,,,,,43.0,43.0,https://pypi.org/project/ogb,2020-12-29 18:08:55.000000,0.0,1697.0,1697.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n490,kapre,keunwoochoi/kapre,,audio,https://github.com/keunwoochoi/kapre,https://github.com/keunwoochoi/kapre,MIT,2016-12-14 18:36:36.000000,2021-01-18 11:46:52.000000,2020-11-16 17:11:54.000000,129,5.0,80.0,702,188.0,kapre: Keras Audio Preprocessors.,13.0,22,True,2020-09-29 18:49:13.000000,0.3.4,21.0,kapre,,,,['tensorflow'],461.0,450.0,https://pypi.org/project/kapre,2020-09-29 18:49:13.000000,11.0,840.0,840.0,,,,,,,,3.0,7.0,,,,,,,,,,,,,,,,,,,,,,\n491,Darts,unit8co/darts,,time-series-data,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000000,2021-01-21 10:04:50.000000,2020-11-09 15:33:02.000000,85,18.0,41.0,698,284.0,A python library for easy manipulation and forecasting of time series.,23.0,22,True,2020-11-09 16:00:41.000000,0.5.0,8.0,u8darts,,unit8/darts,,,11.0,11.0,https://pypi.org/project/u8darts,2020-11-09 16:00:41.000000,,1592.0,1594.0,,,,https://hub.docker.com/r/unit8/darts,2020-10-06 11:35:55.085411,,75.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n492,GPUtil,anderskm/gputil,,gpu-utilities,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43.000000,2020-10-01 05:42:49.000000,2019-08-16 09:00:15.000000,76,10.0,14.0,665,140.0,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,13.0,22,False,2018-12-18 09:12:13.000000,1.4.0,8.0,gputil,,,,,1052.0,950.0,https://pypi.org/project/gputil,2018-12-18 09:12:13.000000,102.0,57547.0,57547.0,,,,,,,,2.0,,,,,,,,,,,,,-1.0,,,,,,,,,,\n493,Node2Vec,eliorc/node2vec,,graph,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000000,2021-01-09 08:40:34.000000,2021-01-09 08:39:26.000000,165,,47.0,622,48.0,Implementation of the node2vec algorithm.,7.0,22,True,2021-01-09 08:40:34.000000,0.4.1,13.0,node2vec,conda-forge/node2vec,,,,122.0,112.0,https://pypi.org/project/node2vec,2021-01-09 08:38:24.000000,10.0,4318.0,4798.0,https://anaconda.org/conda-forge/node2vec,2020-04-25 22:41:13.714000,15362.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n494,scikit-multilearn,scikit-multilearn/scikit-multilearn,,sklearn-utils,https://github.com/scikit-multilearn/scikit-multilearn,https://github.com/scikit-multilearn/scikit-multilearn,BSD-2-Clause,2014-04-30 13:05:44.000000,2020-06-30 10:19:46.000000,2019-05-21 11:29:06.000000,118,64.0,91.0,620,487.0,A scikit-learn based module for multi-label et. al. classification.,15.0,22,False,2018-12-10 16:24:47.000000,0.2.0,6.0,scikit-multilearn,,,,['sklearn'],331.0,328.0,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47.000000,3.0,50314.0,50314.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n495,pingouin,raphaelvallat/pingouin,,probabilistics,https://github.com/raphaelvallat/pingouin,https://github.com/raphaelvallat/pingouin,GPL-3.0,2018-04-01 01:10:22.000000,2021-01-19 01:56:22.238000,2021-01-19 00:11:27.000000,50,15.0,108.0,619,1058.0,Statistical package in Python based on Pandas.,15.0,22,False,2021-01-19 00:33:47.000000,0.3.9,31.0,pingouin,conda-forge/pingouin,,,,161.0,151.0,https://pypi.org/project/pingouin,2021-01-19 00:29:57.000000,10.0,12911.0,14111.0,https://anaconda.org/conda-forge/pingouin,2021-01-19 01:56:22.238000,30015.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n496,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,,data-viz,https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14.000000,2020-11-27 08:30:55.000000,2020-11-27 08:28:43.000000,75,21.0,51.0,601,259.0,Bokeh Plotting Backend for Pandas and GeoPandas.,11.0,22,True,2020-11-27 08:29:09.000000,0.5.2,13.0,pandas-bokeh,,,,['pandas'],135.0,125.0,https://pypi.org/project/pandas-bokeh,2020-11-27 08:30:55.000000,10.0,5692.0,5692.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n497,Prince,MaxHalford/prince,,others,https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000000,2021-01-13 14:32:13.000000,2021-01-11 21:14:58.000000,108,25.0,64.0,556,179.0,\"Python factor analysis library (PCA, CA, MCA, MFA, FAMD).\",9.0,22,True,2020-10-06 11:26:47.000000,0.7.1,41.0,prince,,,,['sklearn'],104.0,101.0,https://pypi.org/project/prince,2020-10-06 11:26:47.000000,3.0,4727.0,4727.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n498,CellProfiler,CellProfiler/CellProfiler,,image,https://github.com/CellProfiler/CellProfiler,https://github.com/CellProfiler/CellProfiler,BSD-3-Clause,2011-04-05 12:10:12.000000,2021-01-20 15:00:30.000000,2021-01-19 18:12:46.000000,268,159.0,2761.0,534,15285.0,An open-source application for biological image analysis.,119.0,22,True,2020-11-20 23:32:23.000000,4.0.7,40.0,cellprofiler,,,,,3.0,3.0,https://pypi.org/project/cellprofiler,2017-09-04 18:03:36.000000,,99.0,105.0,,,,,,,,3.0,550.0,,,,,,,,,,,,,,,,,,,,,,\n499,Guild AI,guildai/guildai,,ml-experiments,https://github.com/guildai/guildai,https://github.com/guildai/guildai,Apache-2.0,2017-09-27 18:57:50.000000,2021-01-19 02:21:08.000000,2021-01-19 02:20:52.000000,42,93.0,144.0,526,4308.0,\"Experiment tracking, ML developer tools.\",16.0,22,True,2021-01-14 21:03:23.000000,0.7.2,161.0,guildai,,,,,25.0,25.0,https://pypi.org/project/guildai,2021-01-14 21:03:23.000000,,1818.0,1818.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n500,scikit-lego,koaning/scikit-lego,,sklearn-utils,https://github.com/koaning/scikit-lego,https://github.com/koaning/scikit-lego,MIT,2019-01-21 15:30:15.000000,2021-01-14 09:10:30.000000,2021-01-14 09:10:23.000000,64,20.0,182.0,387,370.0,Extra blocks for scikit-learn pipelines.,38.0,22,True,2020-10-25 11:24:35.000000,0.6.2,29.0,scikit-lego,conda-forge/scikit-lego,,,['sklearn'],15.0,15.0,https://pypi.org/project/scikit-lego,2021-01-04 09:19:31.000000,0.0,905.0,1411.0,https://anaconda.org/conda-forge/scikit-lego,2020-11-02 09:40:04.581000,7603.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n501,python-ternary,marcharper/python-ternary,,data-viz,https://github.com/marcharper/python-ternary,https://github.com/marcharper/python-ternary,MIT,2012-08-07 23:48:55.000000,2021-01-05 02:49:30.000000,2021-01-05 02:49:29.000000,109,24.0,77.0,384,378.0,Ternary plotting library for python with matplotlib.,25.0,22,True,2020-05-10 19:01:32.000000,1.0.7,10.0,python-ternary,conda-forge/python-ternary,,,,61.0,51.0,https://pypi.org/project/python-ternary,2020-05-10 19:01:32.000000,10.0,942.0,1776.0,https://anaconda.org/conda-forge/python-ternary,2020-05-10 19:48:41.398000,47588.0,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,,,,,\n502,Studio.ml,studioml/studio,,ml-experiments,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28.000000,2021-01-20 03:21:51.000000,2021-01-20 03:17:22.000000,48,56.0,189.0,368,2323.0,Studio: Simplify and expedite model building process.,21.0,22,True,2021-01-19 22:49:48.000000,0.0.39,180.0,studioml,,,,,3.0,3.0,https://pypi.org/project/studioml,2021-01-20 03:21:51.000000,,1114.0,1114.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n503,Caer,jasmcaus/caer,,image,https://github.com/jasmcaus/caer,https://github.com/jasmcaus/caer,MIT,2020-08-06 18:36:14.000000,2021-01-21 10:29:46.000000,2021-01-20 19:09:25.000000,39,3.0,7.0,328,4821.0,\"A lightweight Computer Vision library. Scale your models, not boilerplate.\",3.0,22,True,2021-01-15 20:20:24.000000,1.9.6,107.0,caer,,,https://caer.rtfd.io,,0.0,,https://pypi.org/project/caer,2021-01-15 20:20:24.000000,0.0,622738.0,622740.0,,,,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,,,,,\n504,Cornac,PreferredAI/cornac,,recommender-systems,https://github.com/PreferredAI/cornac,https://github.com/PreferredAI/cornac,Apache-2.0,2018-07-17 06:31:35.000000,2021-01-11 07:08:37.000000,2021-01-04 08:21:01.000000,55,1.0,28.0,297,1159.0,A Comparative Framework for Multimodal Recommender Systems.,11.0,22,True,2020-12-28 07:16:20.000000,1.10.0,35.0,cornac,conda-forge/cornac,,,,27.0,26.0,https://pypi.org/project/cornac,2020-12-28 07:23:56.000000,1.0,704.0,5628.0,https://anaconda.org/conda-forge/cornac,2021-01-04 15:45:16.261000,98495.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n505,vega,vega/ipyvega,,data-viz,https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000000,2021-01-11 12:24:54.000000,2021-01-11 12:24:51.000000,46,8.0,79.0,293,473.0,IPython/Jupyter notebook module for Vega and Vega-Lite.,9.0,22,True,2020-05-15 23:40:02.000000,3.4.0,37.0,vega,conda-forge/vega,,,['jupyter'],148.0,,https://pypi.org/project/vega,2020-05-15 23:40:02.000000,148.0,11749.0,18571.0,https://anaconda.org/conda-forge/vega,2020-12-10 15:03:57.175000,375261.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n506,pyvips,libvips/pyvips,,image,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000000,2020-12-27 23:03:46.000000,2020-12-27 23:01:11.000000,25,69.0,132.0,285,390.0,python binding for libvips using cffi.,10.0,22,True,2020-12-18 11:44:57.000000,2.1.14,20.0,pyvips,conda-forge/pyvips,,,,160.0,138.0,https://pypi.org/project/pyvips,2020-12-18 11:44:57.000000,22.0,3017.0,3371.0,https://anaconda.org/conda-forge/pyvips,2020-10-14 10:02:33.542000,6022.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n507,EarthPy,earthlab/earthpy,,geospatial-data,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000000,2021-01-20 14:57:46.000000,2020-12-03 23:03:15.000000,96,26.0,199.0,220,1066.0,A package built to support working with spatial data using open source python.,38.0,22,True,2020-06-18 23:58:08.000000,0.9.2,22.0,earthpy,conda-forge/earthpy,,,,78.0,72.0,https://pypi.org/project/earthpy,2020-06-18 23:58:08.000000,6.0,1437.0,2690.0,https://anaconda.org/conda-forge/earthpy,2020-06-19 15:23:44.425000,26325.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n508,Orion,Epistimio/orion,,hyperopt,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21.000000,2021-01-21 14:19:25.000000,2021-01-19 22:28:32.000000,35,20.0,102.0,179,2470.0,Asynchronous Distributed Hyperparameter Optimization.,18.0,22,True,2021-01-19 22:46:16.000000,0.1.12,13.0,orion,,,,,47.0,39.0,https://pypi.org/project/orion,2021-01-19 22:46:16.000000,8.0,1038.0,1038.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n509,py3nvml,fbcotter/py3nvml,,gpu-utilities,https://github.com/fbcotter/py3nvml,https://github.com/fbcotter/py3nvml,BSD-3-Clause,2016-11-21 01:07:37.000000,2020-10-10 10:41:08.987000,2020-04-23 06:54:42.000000,24,2.0,9.0,163,79.0,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,6.0,22,True,2020-04-06 16:02:10.000000,0.2.6,13.0,py3nvml,conda-forge/py3nvml,,,,238.0,218.0,https://pypi.org/project/py3nvml,2020-04-06 16:02:10.000000,20.0,87682.0,88605.0,https://anaconda.org/conda-forge/py3nvml,2020-10-10 10:41:08.987000,11085.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n510,openpyxl,,,data-loading,,https://openpyxl.readthedocs.io,MIT,2015-11-03 00:22:17.154000,2021-01-16 15:51:35.602000,,0,179.0,1412.0,17,,A Python library to read/write Excel 2010 xlsx/xlsm files.,,22,False,2021-01-14 19:15:29.000000,3.0.6,96.0,openpyxl,openpyxl,openpyxl/openpyxl-ci,https://openpyxl.readthedocs.io/en/stable/,,9770.0,,https://pypi.org/project/openpyxl,2021-01-14 19:00:13.000000,9770.0,5821024.0,5821706.0,https://anaconda.org/anaconda/openpyxl,2021-01-16 15:51:35.602000,41168.0,https://hub.docker.com/r/openpyxl/openpyxl-ci,2018-09-13 18:04:17.646261,,1174.0,3.0,,,,,,,,0.0,True,,,,,,,,,,,,,https://foss.heptapod.net/api/graphql::openpyxl/openpyxl,https://foss.heptapod.net/openpyxl/openpyxl\n511,Recommenders,microsoft/recommenders,,recommender-systems,https://github.com/microsoft/recommenders,https://github.com/microsoft/recommenders,MIT,2018-09-19 10:06:07.000000,2021-01-21 14:07:51.000000,2021-01-04 11:10:33.000000,1551,108.0,431.0,9030,6261.0,Best Practices on Recommendation Systems.,88.0,21,True,2020-08-20 15:11:46.000000,2020.8,6.0,,,,,,1.0,1.0,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n512,cortex,cortexlabs/cortex,,model-serialisation,https://github.com/cortexlabs/cortex,https://github.com/cortexlabs/cortex,Apache-2.0,2019-01-24 04:43:14.000000,2021-01-21 05:23:13.000000,2021-01-21 05:16:08.000000,544,184.0,699.0,7228,1812.0,Run inference at scale.,18.0,21,True,2021-01-21 05:23:13.000000,0.27.0,45.0,cortex,,,,,0.0,,https://pypi.org/project/cortex,2021-01-21 05:17:11.000000,0.0,686.0,686.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n513,mace,XiaoMi/mace,,ml-frameworks,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12.000000,2021-01-12 02:48:05.000000,2021-01-10 08:24:13.000000,756,39.0,582.0,4270,3086.0,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,54.0,21,True,2021-01-12 02:48:05.000000,1.0.2,9.0,,,,,,,,,,,,44.0,,,,,,,,3.0,1295.0,,,,,,,,,,,,,,,,,,,,,,\n514,cuDF,rapidsai/cudf,,gpu-utilities,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000000,2021-01-21 15:34:04.000000,2021-01-21 15:34:03.000000,472,565.0,2726.0,3616,,cuDF - GPU DataFrame Library.,198.0,21,True,2020-12-10 17:28:54.000000,0.17.0,5.0,cudf,,,,,4.0,,https://pypi.org/project/cudf,2020-06-01 20:07:47.000000,4.0,603.0,603.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n515,DeepMatcher,anhaidgroup/deepmatcher,,nlp,https://github.com/anhaidgroup/deepmatcher,https://github.com/anhaidgroup/deepmatcher,BSD-3-Clause,2017-12-01 19:01:11.000000,2020-09-27 17:25:56.000000,2020-04-20 02:34:24.000000,1271,47.0,15.0,3393,169.0,Python package for performing Entity and Text Matching using Deep Learning.,7.0,21,True,2019-12-30 19:49:33.000000,0.1.1,9.0,deepmatcher,,,,,10.0,10.0,https://pypi.org/project/deepmatcher,2019-12-30 19:49:33.000000,,238.0,238.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n516,MatchZoo,NTMC-Community/MatchZoo,,nlp,https://github.com/NTMC-Community/MatchZoo,https://github.com/NTMC-Community/MatchZoo,Apache-2.0,2017-06-08 08:55:22.000000,2020-06-17 07:27:59.000000,2019-10-24 13:10:07.000000,858,27.0,427.0,3325,1808.0,\"Facilitating the design, comparison and sharing of deep text matching models.\",35.0,21,False,2019-10-24 13:09:11.000000,2.2.0,5.0,matchzoo,,,,['tensorflow'],9.0,9.0,https://pypi.org/project/matchzoo,2019-10-24 13:09:11.000000,,158.0,158.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n517,AdaNet,tensorflow/adanet,,hyperopt,https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24.000000,2020-07-09 21:03:28.000000,2020-07-09 20:51:04.000000,498,64.0,47.0,3227,439.0,Fast and flexible AutoML with learning guarantees.,26.0,21,True,2020-07-09 20:53:28.000000,0.9.0,13.0,adanet,,,,['tensorflow'],35.0,33.0,https://pypi.org/project/adanet,2020-07-09 21:03:28.000000,2.0,674.0,674.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n518,NLP Architect,IntelLabs/nlp-architect,,nlp,https://github.com/IntelLabs/nlp-architect,https://github.com/IntelLabs/nlp-architect,Apache-2.0,2018-05-17 21:00:13.000000,2021-01-16 01:26:11.000000,2021-01-14 15:53:57.000000,394,16.0,103.0,2579,949.0,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,36.0,21,True,2020-11-17 12:32:37.000000,0.5.5.1,13.0,nlp-architect,,,,,7.0,7.0,https://pypi.org/project/nlp-architect,2020-04-12 11:34:38.000000,,156.0,156.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n519,Image Super-Resolution,idealo/image-super-resolution,,image,https://github.com/idealo/image-super-resolution,https://github.com/idealo/image-super-resolution,Apache-2.0,2018-11-26 13:41:13.000000,2020-11-11 15:09:20.000000,2020-11-11 15:09:19.000000,468,49.0,97.0,2430,138.0,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,9.0,21,True,2020-01-08 15:37:35.000000,2.2.0,11.0,ISR,,idealo/image-super-resolution-gpu,,['tensorflow'],42.0,38.0,https://pypi.org/project/ISR,2020-01-08 15:37:35.000000,4.0,2352.0,2356.0,,,,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,,120.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n520,tensorflow-graphics,tensorflow/graphics,,image,https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44.000000,2021-01-20 16:09:15.000000,2021-01-20 16:09:03.000000,267,87.0,81.0,2390,568.0,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,30.0,21,True,2020-05-20 19:56:41.000000,2020.5.20,21.0,tensorflow-graphics,,,,['tensorflow'],3.0,,https://pypi.org/project/tensorflow-graphics,2020-05-20 19:56:41.000000,3.0,912.0,912.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n521,Luminoth,tryolabs/luminoth,,image,https://github.com/tryolabs/luminoth,https://github.com/tryolabs/luminoth,BSD-3-Clause,2017-02-16 15:07:46.000000,2020-12-24 21:01:24.000000,2020-01-07 20:53:25.000000,400,50.0,127.0,2333,838.0,Deep Learning toolkit for Computer Vision.,15.0,21,True,2018-10-31 22:19:52.000000,0.2.3,10.0,luminoth,,,,['tensorflow'],27.0,27.0,https://pypi.org/project/luminoth,2018-11-09 21:35:17.000000,,494.0,779.0,,,,,,,,3.0,11145.0,,,,,,,,,,,,,,,,,,,,,,\n522,Porcupine,Picovoice/Porcupine,,audio,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000000,2021-01-21 00:14:34.000000,2021-01-19 23:35:42.000000,332,8.0,271.0,2302,367.0,On-device wake word detection powered by deep learning.,25.0,21,True,2020-12-02 15:34:40.000000,1.9,13.0,pvporcupine,,,,,4.0,4.0,https://pypi.org/project/pvporcupine,2020-10-02 19:16:49.000000,0.0,776.0,776.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n523,TensorTrade,tensortrade-org/tensortrade,,financial-data,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32.000000,2021-01-16 21:13:56.000000,2021-01-06 20:35:52.000000,581,33.0,118.0,2199,851.0,\"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.\",46.0,21,True,,,25.0,tensortrade,,,,,11.0,10.0,https://pypi.org/project/tensortrade,2020-08-24 18:26:46.000000,1.0,1008.0,1008.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n524,DeepVariant,google/deepvariant,,medical-data,https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000000,2021-01-21 14:05:32.000000,2020-12-14 23:35:27.000000,526,3.0,365.0,2162,1503.0,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,19.0,21,True,2020-12-07 17:56:31.000000,1.1.0,15.0,,bioconda/deepvariant,,,['tensorflow'],,,,,,,809.0,https://anaconda.org/bioconda/deepvariant,2020-09-05 07:25:11.429000,26274.0,,,,,3.0,2976.0,,,,,,,,,,,,,,,,,,,,,,\n525,Texar,asyml/texar,,nlp,https://github.com/asyml/texar,https://github.com/asyml/texar,Apache-2.0,2017-07-22 19:02:05.000000,2020-09-17 07:03:55.000000,2020-07-29 00:38:30.000000,329,32.0,126.0,2090,1719.0,\"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the..\",41.0,21,True,2019-11-19 04:11:18.000000,0.2.4,6.0,texar,,,,['tensorflow'],14.0,12.0,https://pypi.org/project/texar,2019-11-19 04:11:18.000000,2.0,114.0,114.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n526,PARL,PaddlePaddle/PARL,,reinforcement-learning,https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22.000000,2021-01-20 02:13:50.000000,2021-01-19 13:25:26.000000,410,52.0,148.0,1783,1.0,A high-performance distributed training framework for Reinforcement Learning.,21.0,21,True,2021-01-08 08:16:06.000000,1.4.1,16.0,parl,,,,['paddle'],65.0,65.0,https://pypi.org/project/parl,2021-01-08 08:16:06.000000,,284.0,284.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n527,auto_ml,ClimbsRocks/auto_ml,,hyperopt,https://github.com/ClimbsRocks/auto_ml,https://github.com/ClimbsRocks/auto_ml,MIT,2016-08-07 21:35:08.000000,2020-12-29 07:56:49.000000,2018-03-25 19:46:25.000000,293,185.0,215.0,1513,1149.0,[UNMAINTAINED] Automated machine learning for analytics & production.,13.0,21,False,2018-02-22 01:13:03.000000,2.9.10,78.0,auto_ml,,,,,2.0,,https://pypi.org/project/auto_ml,2018-02-22 01:13:03.000000,2.0,1426.0,1426.0,,,,,,,,3.0,33.0,,,,,,,,,,,,,,,,,,,,,,\n528,lore,instacart/lore,,ml-experiments,https://github.com/instacart/lore,https://github.com/instacart/lore,MIT,2017-10-19 21:51:45.000000,2021-01-05 17:20:41.000000,2020-05-11 22:26:45.000000,118,16.0,18.0,1509,270.0,Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers.,22.0,21,True,2020-05-11 22:28:23.000000,0.8.4,231.0,lore,,,,,17.0,16.0,https://pypi.org/project/lore,2020-05-11 22:28:23.000000,1.0,464.0,464.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n529,Magnitude,plasticityai/magnitude,,nn-search,https://github.com/plasticityai/magnitude,https://github.com/plasticityai/magnitude,MIT,2018-02-24 07:28:16.000000,2020-07-17 20:19:50.000000,2020-07-17 20:19:46.000000,98,24.0,50.0,1376,350.0,\"A fast, efficient universal vector embedding utility package.\",4.0,21,True,2020-05-25 11:26:36.000000,0.1.143,128.0,pymagnitude,,,,,184.0,170.0,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36.000000,14.0,4294.0,4294.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n530,TensorFlow Privacy,tensorflow/privacy,,privacy-ml,https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000000,2021-01-21 04:53:57.000000,2021-01-13 23:42:04.000000,264,40.0,76.0,1316,439.0,Library for training machine learning models with privacy for training data.,35.0,21,True,2020-09-03 01:13:47.000000,.0.5.1,9.0,tensorflow-privacy,,,,['tensorflow'],1.0,,https://pypi.org/project/tensorflow-privacy,2020-09-03 01:10:15.000000,1.0,3995.0,3997.0,,,,,,,,2.0,41.0,,,,,,,,,,,,,,,,,,,,,,\n531,Neural Tangents,google/neural-tangents,,ml-frameworks,https://github.com/google/neural-tangents,https://github.com/google/neural-tangents,Apache-2.0,2019-04-08 16:48:48.000000,2021-01-09 22:43:12.000000,2021-01-06 23:03:23.000000,142,25.0,49.0,1291,347.0,Fast and Easy Infinite Neural Networks in Python.,16.0,21,True,2020-11-18 04:34:54.000000,0.3.5,19.0,neural-tangents,,,,,12.0,12.0,https://pypi.org/project/neural-tangents,2020-11-18 04:23:35.000000,,513.0,527.0,,,,,,,,3.0,103.0,,,,,,,,,,,,,,,,,,,,,,\n532,Pypeline,cgarciae/pypeln,,data-pipelines,https://github.com/cgarciae/pypeln,https://github.com/cgarciae/pypeln,MIT,2018-09-01 13:43:31.000000,2021-01-05 18:00:20.000000,2021-01-05 17:59:44.000000,66,12.0,35.0,1208,234.0,Concurrent data pipelines in Python .,9.0,21,True,2021-01-05 18:00:06.000000,0.4.7,34.0,pypeln,,,,,5.0,,https://pypi.org/project/pypeln,2021-01-05 18:00:06.000000,5.0,2411.0,2411.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n533,Torchmeta,tristandeleu/pytorch-meta,,pytorch-utils,https://github.com/tristandeleu/pytorch-meta,https://github.com/tristandeleu/pytorch-meta,MIT,2018-12-04 23:36:45.000000,2020-11-25 16:45:01.000000,2020-11-25 16:41:48.000000,128,19.0,69.0,1182,341.0,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.,10.0,21,True,2020-11-25 16:45:01.000000,1.6.1,26.0,torchmeta,,,,['pytorch'],25.0,25.0,https://pypi.org/project/torchmeta,2020-11-25 16:45:01.000000,,444.0,444.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n534,Karate Club,benedekrozemberczki/karateclub,,graph,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56.000000,2021-01-18 22:02:53.000000,2021-01-18 22:02:49.000000,131,,47.0,1133,2116.0,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,11.0,21,False,2020-12-01 21:11:27.000000,_10022,95.0,karateclub,,,,,22.0,22.0,https://pypi.org/project/karateclub,2020-12-01 21:08:09.000000,,1885.0,1885.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n535,FARM,deepset-ai/FARM,,nlp,https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12.000000,2021-01-21 05:37:29.000000,2021-01-20 16:49:00.000000,150,32.0,289.0,1074,520.0,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,29.0,21,True,2021-01-20 16:57:05.000000,0.6.2,22.0,farm,,,,['pytorch'],2.0,,https://pypi.org/project/farm,2021-01-20 16:51:38.000000,2.0,3010.0,3010.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n536,TFEncrypted,tf-encrypted/tf-encrypted,,privacy-ml,https://github.com/tf-encrypted/tf-encrypted,https://github.com/tf-encrypted/tf-encrypted,Apache-2.0,2018-03-21 18:22:13.000000,2020-11-19 15:48:03.000000,2020-08-19 16:56:56.000000,133,164.0,231.0,813,595.0,A Framework for Encrypted Machine Learning in TensorFlow.,28.0,21,True,2019-09-27 20:00:01.000000,0.5.9,35.0,tf-encrypted,,,,['tensorflow'],54.0,46.0,https://pypi.org/project/tf-encrypted,2019-10-21 18:05:53.000000,8.0,308.0,308.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n537,scikit-cuda,lebedov/scikit-cuda,,gpu-utilities,https://github.com/lebedov/scikit-cuda,https://github.com/lebedov/scikit-cuda,BSD-3-Clause,2010-09-27 02:02:07.000000,2020-07-13 12:48:39.000000,2020-07-13 12:47:46.000000,155,36.0,163.0,790,1026.0,Python interface to GPU-powered libraries.,44.0,21,True,2019-05-27 00:29:00.000000,0.5.3,7.0,scikit-cuda,,,,,143.0,112.0,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00.000000,31.0,514.0,514.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n538,iNNvestigate,albermax/innvestigate,,interpretability,https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20.000000,2020-12-30 15:22:24.000000,2020-10-16 15:26:56.000000,168,71.0,127.0,750,882.0,A toolbox to iNNvestigate neural networks' predictions!.,18.0,21,True,2019-03-19 14:31:31.000000,1.0.9,2.0,innvestigate,,,,['tensorflow'],44.0,43.0,https://pypi.org/project/innvestigate,2020-11-14 11:35:59.000000,1.0,327.0,327.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n539,AstroML,astroML/astroML,,others,https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50.000000,2020-09-09 15:52:15.000000,2020-09-09 15:52:13.000000,248,48.0,80.0,709,508.0,\"Machine learning, statistics, and data mining for astronomy and astrophysics.\",29.0,21,True,2019-10-02 06:32:58.000000,0.4.1,10.0,astroML,conda-forge/astroml,,,['sklearn'],187.0,158.0,https://pypi.org/project/astroML,2020-03-23 23:20:49.000000,29.0,491.0,1011.0,https://anaconda.org/conda-forge/astroml,2020-02-16 04:18:54.678000,21338.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n540,gmaps,pbugnion/gmaps,,geospatial-data,https://github.com/pbugnion/gmaps,https://github.com/pbugnion/gmaps,BSD-3-Clause,2014-12-01 09:12:06.000000,2020-10-13 07:09:18.000000,2019-07-22 06:22:45.000000,141,63.0,135.0,696,1380.0,Google maps for Jupyter notebooks.,16.0,21,False,2019-07-21 08:49:48.715000,0.9.0,93.0,gmaps,conda-forge/gmaps,,,['jupyter'],38.0,1.0,https://pypi.org/project/gmaps,2019-07-20 07:47:04.000000,37.0,3352.0,9206.0,https://anaconda.org/conda-forge/gmaps,2019-08-02 11:56:50.940000,201676.0,,,,,3.0,,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715000,,1271.0,,,,,,,,,,,,,,,,\n541,fairlearn,fairlearn/fairlearn,,interpretability,https://github.com/fairlearn/fairlearn,https://github.com/fairlearn/fairlearn,MIT,2018-05-15 01:51:35.000000,2021-01-20 09:19:32.000000,2021-01-20 09:19:31.000000,163,78.0,109.0,653,550.0,A Python package to assess and improve fairness of machine learning models.,29.0,21,True,2020-11-10 15:01:51.000000,0.5.0,12.0,fairlearn,conda-forge/fairlearn,,,['sklearn'],1.0,,https://pypi.org/project/fairlearn,2020-11-10 13:19:12.000000,1.0,2882.0,3657.0,https://anaconda.org/conda-forge/fairlearn,2020-11-11 16:56:35.159000,8528.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n542,Sentinelsat,sentinelsat/sentinelsat,,geospatial-data,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26.000000,2021-01-21 12:11:07.000000,2020-12-28 20:01:10.000000,162,29.0,208.0,541,771.0,Search and download Copernicus Sentinel satellite images.,34.0,21,False,2020-06-12 07:15:51.000000,0.14,36.0,sentinelsat,,,,,181.0,159.0,https://pypi.org/project/sentinelsat,2020-06-12 07:08:37.000000,22.0,6084.0,6087.0,,,,,,,,3.0,189.0,,,,,,,,,,,,,,,,,,,,,,\n543,pickleDB,patx/pickledb,,data-containers,https://github.com/patx/pickledb,https://github.com/patx/pickledb,BSD-3-Clause,2011-10-28 00:04:40.000000,2020-08-25 09:47:52.000000,2019-11-15 03:38:30.000000,92,16.0,39.0,533,105.0,pickleDB is an open source key-value store using Python's json module.,11.0,21,False,2019-01-13 22:40:32.000000,0.9.1,19.0,pickledb,,,,,559.0,457.0,https://pypi.org/project/pickledb,2019-01-13 22:40:32.000000,102.0,16233.0,16233.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n544,PyNNDescent,lmcinnes/pynndescent,,nn-search,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000000,2021-01-18 21:35:59.000000,2021-01-18 21:35:54.000000,44,28.0,29.0,366,462.0,A Python nearest neighbor descent for approximate nearest neighbors.,10.0,21,True,2020-11-19 20:20:48.000000,0.5.1,20.0,pynndescent,conda-forge/pynndescent,,,,3.0,,https://pypi.org/project/pynndescent,2020-11-19 20:20:48.000000,3.0,22575.0,23691.0,https://anaconda.org/conda-forge/pynndescent,2020-11-19 22:20:12.326000,21209.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n545,optunity,claesenm/optunity,,hyperopt,https://github.com/claesenm/optunity,https://github.com/claesenm/optunity,BSD-3-Clause,2014-05-28 17:29:11.000000,2020-05-11 14:32:39.000000,2020-05-11 14:32:38.000000,73,45.0,48.0,364,782.0,optimization routines for hyperparameter tuning.,9.0,21,True,2015-09-30 05:02:00.000000,1.1.1,6.0,optunity,,,,,65.0,58.0,https://pypi.org/project/optunity,2015-09-30 05:02:00.000000,7.0,10259.0,10259.0,,,,,,,,3.0,62.0,,,,,,,,,,,,,,,,,,,,,,\n546,Pandas Summary,mouradmourafiq/pandas-summary,,data-containers,https://github.com/mouradmourafiq/pandas-summary,https://github.com/mouradmourafiq/pandas-summary,MIT,2016-03-25 21:59:32.000000,2019-08-24 21:10:25.000000,2019-08-24 21:10:24.000000,34,8.0,5.0,358,24.0,An extension to pandas dataframes describe function.,6.0,21,False,2016-08-30 07:54:59.000000,0.0.41,8.0,pandas-summary,,,,['pandas'],574.0,555.0,https://pypi.org/project/pandas-summary,2016-08-30 07:54:59.000000,19.0,20973.0,20973.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n547,Neuraxle,Neuraxio/Neuraxle,,hyperopt,https://github.com/Neuraxio/Neuraxle,https://github.com/Neuraxio/Neuraxle,Apache-2.0,2019-03-26 21:01:54.000000,2021-01-19 20:53:10.000000,2021-01-12 03:35:32.000000,39,118.0,130.0,356,1324.0,A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right..,7.0,21,True,2020-09-20 16:29:39.000000,0.5.6,18.0,neuraxle,,,,,17.0,17.0,https://pypi.org/project/neuraxle,2020-09-20 16:29:39.000000,0.0,330.0,330.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n548,PyTorch Sparse,rusty1s/pytorch_sparse,,pytorch-utils,https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53.000000,2021-01-19 11:21:56.000000,2021-01-19 11:21:52.000000,44,34.0,51.0,342,512.0,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,12.0,21,True,2020-11-02 10:42:59.000000,0.6.8,21.0,torch-sparse,,,,['pytorch'],17.0,,https://pypi.org/project/torch-sparse,2020-11-02 10:43:20.000000,17.0,4085.0,4085.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n549,aequitas,dssg/aequitas,,interpretability,https://github.com/dssg/aequitas,https://github.com/dssg/aequitas,MIT,2018-02-13 19:40:30.000000,2021-01-15 15:48:55.000000,2020-12-20 16:40:35.000000,63,33.0,20.0,338,853.0,Bias and Fairness Audit Toolkit.,15.0,21,True,2020-08-23 23:38:51.000000,0.42.0,16.0,aequitas,,,,,67.0,64.0,https://pypi.org/project/aequitas,2020-12-16 11:48:14.000000,3.0,206.0,206.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n550,torch-cluster,rusty1s/pytorch_cluster,,graph,https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06.000000,2021-01-03 16:07:26.000000,2021-01-03 16:07:22.000000,67,35.0,37.0,324,499.0,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,17.0,21,True,2020-10-31 14:42:35.000000,1.5.8,38.0,torch-cluster,,,,['pytorch'],32.0,,https://pypi.org/project/torch-cluster,2020-10-31 14:42:35.000000,32.0,2581.0,2581.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n551,BioPandas,rasbt/biopandas,,others,https://github.com/rasbt/biopandas,https://github.com/rasbt/biopandas,BSD-3-Clause,2015-11-21 00:00:14.000000,2021-01-01 17:08:09.000000,2021-01-01 17:08:08.000000,76,16.0,18.0,319,144.0,Working with molecular structures in pandas DataFrames.,7.0,21,True,2020-08-04 13:52:27.000000,0.2.7,11.0,biopandas,conda-forge/biopandas,,,['pandas'],53.0,47.0,https://pypi.org/project/biopandas,2020-08-04 13:49:59.000000,6.0,194.0,1459.0,https://anaconda.org/conda-forge/biopandas,2020-08-08 06:33:59.197000,62003.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n552,joypy,sbebo/joypy,,data-viz,https://github.com/sbebo/joypy,https://github.com/sbebo/joypy,MIT,2017-07-30 17:18:50.000000,2020-12-28 14:07:53.760000,2020-12-28 11:56:12.000000,32,4.0,34.0,312,108.0,Joyplots in Python with matplotlib & pandas.,5.0,21,True,2020-12-28 11:54:36.000000,0.2.4,16.0,joypy,conda-forge/joypy,,,,69.0,63.0,https://pypi.org/project/joypy,2020-12-28 11:54:36.000000,6.0,2439.0,2793.0,https://anaconda.org/conda-forge/joypy,2020-12-28 14:07:53.760000,7809.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n553,SDV,sdv-dev/SDV,,data-loading,https://github.com/sdv-dev/SDV,https://github.com/sdv-dev/SDV,MIT,2018-05-11 15:56:50.000000,2021-01-20 19:36:34.000000,2021-01-20 19:36:29.000000,56,42.0,131.0,308,759.0,\"Synthetic Data Generation for tabular, relational and time series data.\",33.0,21,True,2020-12-31 15:58:42.000000,0.6.1,35.0,sdv,,,,,13.0,13.0,https://pypi.org/project/sdv,2021-01-20 19:36:25.000000,0.0,939.0,939.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n554,NIPY,nipy/nipy,,medical-data,https://github.com/nipy/nipy,https://github.com/nipy/nipy,DSDP,2010-05-02 10:00:33.000000,2020-11-24 19:22:47.000000,2020-10-14 22:51:30.000000,123,43.0,104.0,289,6371.0,Neuroimaging in Python FMRI analysis package.,63.0,21,False,2018-02-19 14:14:08.000000,0.4.2,6.0,nipy,conda-forge/nipy,,,,29.0,,https://pypi.org/project/nipy,2018-02-19 14:14:08.000000,29.0,642.0,2316.0,https://anaconda.org/conda-forge/nipy,2020-05-04 19:38:04.112000,70316.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n555,datatest,shawnbrown/datatest,,data-loading,https://github.com/shawnbrown/datatest,https://github.com/shawnbrown/datatest,Apache-2.0,2016-05-12 13:16:27.000000,2021-01-17 06:26:29.000000,2021-01-17 06:23:57.000000,13,9.0,42.0,236,2132.0,Tools for test driven data-wrangling and data validation.,6.0,21,True,2021-01-04 03:43:58.000000,0.11.1,17.0,datatest,,,,,31.0,29.0,https://pypi.org/project/datatest,2021-01-04 03:39:40.000000,2.0,2028.0,2028.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n556,pymap3d,geospace-code/pymap3d,,geospatial-data,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03.000000,2020-12-23 03:44:01.000000,2020-12-23 03:43:54.000000,55,2.0,22.0,172,622.0,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,8.0,21,True,2020-09-21 15:20:10.000000,2.4.3,45.0,pymap3d,conda-forge/pymap3d,,,,3.0,,https://pypi.org/project/pymap3d,2020-09-21 15:16:49.000000,3.0,8407.0,9004.0,https://anaconda.org/conda-forge/pymap3d,2020-09-24 05:54:07.357000,5972.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n557,gokart,m3dev/gokart,,ml-experiments,https://github.com/m3dev/gokart,https://github.com/m3dev/gokart,MIT,2018-12-23 07:40:27.000000,2021-01-20 00:19:23.000000,2021-01-20 00:11:05.000000,30,9.0,20.0,159,312.0,A wrapper of the data pipeline library luigi.,24.0,21,True,2021-01-20 00:19:23.000000,0.3.24,48.0,gokart,,,,,30.0,28.0,https://pypi.org/project/gokart,2020-02-25 06:01:19.000000,2.0,467.0,467.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n558,Dejavu,worldveil/dejavu,,audio,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35.000000,2020-10-29 17:40:17.000000,2020-06-03 05:58:03.000000,1236,83.0,129.0,5306,146.0,Audio fingerprinting and recognition in Python.,23.0,20,True,2015-04-19 21:20:16.000000,0.1.3,4.0,PyDejavu,,,,,17.0,16.0,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16.000000,1.0,81.0,81.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n559,MMF,facebookresearch/mmf,,image,https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40.000000,2021-01-21 02:01:56.000000,2021-01-21 01:58:09.000000,591,91.0,323.0,4053,760.0,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,50.0,20,True,2019-08-26 19:04:21.000000,0.3.1,11.0,mmf,,,,['pytorch'],6.0,6.0,https://pypi.org/project/mmf,2020-06-11 16:09:52.000000,,141.0,141.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n560,MindsDB,mindsdb/mindsdb,,ml-frameworks,https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,GPL-3.0,2018-08-02 17:56:45.000000,2021-01-21 13:38:41.000000,2021-01-14 13:21:29.000000,407,36.0,468.0,3164,,Predictive AI layer for existing databases.,55.0,20,False,2021-01-14 14:20:11.000000,2.18.0,42.0,mindsdb,,,,['pytorch'],3.0,,https://pypi.org/project/mindsdb,2019-03-19 05:07:23.000000,3.0,2020.0,2020.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n561,TRFL,deepmind/trfl,,reinforcement-learning,https://github.com/deepmind/trfl,https://github.com/deepmind/trfl,Apache-2.0,2018-08-08 14:44:11.000000,2020-11-06 04:44:44.000000,2020-04-20 13:05:56.000000,372,6.0,16.0,3060,116.0,TensorFlow Reinforcement Learning.,12.0,20,True,2020-04-20 14:11:57.000000,1.1.0,4.0,trfl,,,,['tensorflow'],38.0,36.0,https://pypi.org/project/trfl,2020-04-20 14:11:57.000000,2.0,635.0,635.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n562,DALI,NVIDIA/DALI,,gpu-utilities,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000000,2021-01-21 13:33:22.000000,2021-01-21 13:33:21.000000,366,182.0,598.0,3044,1672.0,A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep..,54.0,20,True,2020-12-30 12:56:47.000000,0.29.0,35.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n563,FATE,FederatedAI/FATE,,privacy-ml,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000000,2021-01-21 12:57:18.000000,2021-01-17 03:20:44.000000,796,277.0,523.0,2713,6609.0,An Industrial Grade Federated Learning Framework.,50.0,20,True,2020-11-13 13:36:14.000000,1.5.0,24.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n564,dpark,douban/dpark,,data-pipelines,https://github.com/douban/dpark,https://github.com/douban/dpark,BSD-3-Clause,2012-04-11 08:35:06.000000,2020-12-25 10:36:06.000000,2020-12-25 10:36:05.000000,554,,60.0,2646,1467.0,\"Python clone of Spark, a MapReduce alike framework in Python.\",35.0,20,True,2018-07-27 04:11:36.000000,0.5.0,19.0,dpark,,,,['spark'],4.0,3.0,https://pypi.org/project/dpark,2018-07-27 04:11:36.000000,1.0,10.0,10.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n565,image-match,EdjoLabs/image-match,,image,https://github.com/EdjoLabs/image-match,https://github.com/EdjoLabs/image-match,Apache-2.0,2016-03-08 18:16:45.000000,2021-01-04 18:36:01.000000,2021-01-04 18:35:59.000000,348,47.0,47.0,2502,404.0,Quickly search over billions of images.,17.0,20,True,2017-02-13 14:54:48.000000,1.1.2,10.0,image_match,,,,,3.0,,https://pypi.org/project/image_match,2017-02-13 14:54:48.000000,3.0,280.0,280.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n566,StreamAlert,airbnb/streamalert,,others,https://github.com/airbnb/streamalert,https://github.com/airbnb/streamalert,Apache-2.0,2017-01-22 01:10:56.000000,2021-01-13 20:21:16.000000,2020-10-05 21:15:11.000000,281,90.0,247.0,2453,1892.0,\"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data..\",30.0,20,True,2020-10-05 21:50:56.000000,3.4.1,27.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n567,gpt-2-simple,minimaxir/gpt-2-simple,,nlp,https://github.com/minimaxir/gpt-2-simple,https://github.com/minimaxir/gpt-2-simple,MIT,2019-04-13 20:00:52.000000,2020-11-13 18:28:40.000000,2020-04-24 02:31:04.000000,493,129.0,90.0,2450,130.0,Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts.,16.0,20,True,2019-12-28 04:05:21.000000,0.7.1,15.0,gpt-2-simple,,,,['tensorflow'],3.0,,https://pypi.org/project/gpt-2-simple,2019-12-28 04:03:29.000000,3.0,5044.0,5052.0,,,,,,,,3.0,187.0,,,,,,,,,,,,,,,,,,,,,,\n568,finmarketpy,cuemacro/finmarketpy,,financial-data,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03.000000,2021-01-17 18:03:14.000000,2021-01-17 18:03:07.000000,411,21.0,3.0,2435,652.0,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,14.0,20,True,2020-10-20 09:25:52.000000,0.11.7,8.0,finmarketpy,,,,,3.0,3.0,https://pypi.org/project/finmarketpy,2020-10-20 09:28:00.000000,,65.0,65.0,,,,,,,,3.0,39.0,,,,,,,,,,,,,,,,,,,,,,\n569,NeMo,NVIDIA/NeMo,,nlp,https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000000,2021-01-21 07:26:55.000000,2021-01-20 04:28:31.000000,365,164.0,249.0,2329,,NeMo: a toolkit for conversational AI.,69.0,20,True,2020-07-10 00:01:18.000000,0.11.0,36.0,nemo-toolkit,,,,['pytorch'],4.0,,https://pypi.org/project/nemo-toolkit,2020-12-11 21:33:53.000000,4.0,1538.0,1573.0,,,,,,,,3.0,568.0,,,,,,,,,,,,,,,,,,,,,,\n570,Hummingbird,microsoft/hummingbird,,model-serialisation,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000000,2021-01-13 22:42:38.000000,2021-01-13 22:27:09.000000,155,47.0,132.0,2179,,Hummingbird compiles trained ML models into tensor computation for faster inference.,18.0,20,True,2021-01-04 22:16:04.000000,0.2.1,9.0,hummingbird-ml,,,,,12.0,12.0,https://pypi.org/project/hummingbird-ml,2021-01-04 22:14:22.000000,,795.0,806.0,,,,,,,,3.0,90.0,,,,,,,,,,,,,,,,,,,,,,\n571,Texthero,jbesomi/texthero,,nlp,https://github.com/jbesomi/texthero,https://github.com/jbesomi/texthero,MIT,2020-04-06 15:16:05.000000,2020-12-09 16:49:27.000000,2020-11-03 07:58:36.000000,180,73.0,48.0,2074,267.0,\"Text preprocessing, representation and visualization from zero to hero.\",18.0,20,True,2020-07-06 20:32:28.000000,1.0.9,9.0,texthero,,,,,,,https://pypi.org/project/texthero,2020-07-06 20:29:25.000000,,2173.0,2179.0,,,,,,,,3.0,61.0,,,,,,,,,,,,,,,,,,,,,,\n572,pdftabextract,WZBSocialScienceCenter/pdftabextract,,ocr,https://github.com/WZBSocialScienceCenter/pdftabextract,https://github.com/WZBSocialScienceCenter/pdftabextract,Apache-2.0,2016-07-08 11:44:46.000000,2020-12-28 00:52:23.000000,2018-10-26 13:57:02.000000,329,2.0,18.0,1886,168.0,A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.,2.0,20,False,2018-01-09 08:00:24.000000,0.3.0,5.0,pdftabextract,,,,,36.0,36.0,https://pypi.org/project/pdftabextract,2018-01-09 08:00:24.000000,,308.0,308.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n573,AmpliGraph,Accenture/AmpliGraph,,graph,https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05.000000,2020-08-25 17:19:24.000000,2020-08-25 17:00:58.000000,154,18.0,155.0,1416,895.0,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,14.0,20,True,2020-08-25 17:06:46.000000,1.3.2,11.0,ampligraph,,,,['tensorflow'],9.0,9.0,https://pypi.org/project/ampligraph,2020-08-25 16:59:58.000000,,500.0,500.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n574,DELTA,Delta-ML/delta,,nlp,https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57.000000,2021-01-20 16:35:10.126554,2020-12-17 06:57:15.000000,270,9.0,67.0,1371,932.0,DELTA is a deep learning based natural language and speech processing platform.,41.0,20,True,2020-07-16 09:31:45.000000,0.3.3,4.0,delta-nlp,,zh794390558/delta,,['tensorflow'],,,https://pypi.org/project/delta-nlp,2020-03-27 04:46:19.000000,,6.0,593.0,,,,https://hub.docker.com/r/zh794390558/delta,2021-01-20 16:35:10.126554,,11748.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n575,reformer-pytorch,lucidrains/reformer-pytorch,,pytorch-utils,https://github.com/lucidrains/reformer-pytorch,https://github.com/lucidrains/reformer-pytorch,MIT,2020-01-09 20:42:37.000000,2020-12-11 17:49:44.000000,2020-12-11 17:49:36.000000,166,1.0,92.0,1331,236.0,\"Reformer, the efficient Transformer, in Pytorch.\",9.0,20,True,2020-12-06 23:07:32.000000,1.2.4,132.0,reformer-pytorch,,,,['pytorch'],,,https://pypi.org/project/reformer-pytorch,2020-12-06 23:08:09.000000,,942.0,942.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n576,ThunderSVM,Xtra-Computing/thundersvm,,ml-frameworks,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04.000000,2020-12-14 03:08:11.000000,2020-12-14 03:08:11.000000,165,42.0,144.0,1261,896.0,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,33.0,20,True,2020-03-13 12:36:30.000000,0.3.12,9.0,thundersvm,,,,,,,https://pypi.org/project/thundersvm,2020-03-13 12:36:30.000000,,371.0,413.0,,,,,,,,3.0,2117.0,,,,,,,,,,,,,,,,,,,,,,\n577,checklist,marcotcr/checklist,,interpretability,https://github.com/marcotcr/checklist,https://github.com/marcotcr/checklist,MIT,2020-03-09 17:18:49.000000,2020-12-30 23:14:48.000000,2020-12-16 19:26:13.000000,97,3.0,53.0,1198,209.0,Beyond Accuracy: Behavioral Testing of NLP models with CheckList.,7.0,20,True,2020-09-21 18:30:40.000000,0.0.10,9.0,checklist,,,,['jupyter'],7.0,5.0,https://pypi.org/project/checklist,2020-09-21 18:30:40.000000,2.0,255.0,255.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n578,tensorrec,jfkirk/tensorrec,,recommender-systems,https://github.com/jfkirk/tensorrec,https://github.com/jfkirk/tensorrec,Apache-2.0,2017-02-28 18:51:11.000000,2020-07-30 02:47:12.000000,2020-02-04 21:10:25.000000,205,32.0,90.0,1113,334.0,A TensorFlow recommendation algorithm and framework in Python.,8.0,20,True,2019-04-02 00:53:47.000000,0.26.2,30.0,tensorrec,,,,['tensorflow'],24.0,23.0,https://pypi.org/project/tensorrec,2019-04-02 00:53:47.000000,1.0,795.0,795.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n579,datatable,h2oai/datatable,,data-containers,https://github.com/h2oai/datatable,https://github.com/h2oai/datatable,MPL-2.0,2017-03-03 02:32:59.000000,2021-01-20 19:08:51.000000,2021-01-20 19:08:48.000000,95,112.0,1103.0,1095,,A Python package for manipulating 2-dimensional tabular data structures.,28.0,20,True,2020-12-10 09:10:50.000000,0.11.1,15.0,datatable,,,,,6.0,,https://pypi.org/project/datatable,2020-12-10 08:04:03.000000,6.0,13905.0,13923.0,,,,,,,,3.0,758.0,,,,,,,,,,,,,,,,,,,,,,\n580,Classy Vision,facebookresearch/ClassyVision,,image,https://github.com/facebookresearch/ClassyVision,https://github.com/facebookresearch/ClassyVision,MIT,2019-09-13 22:54:44.000000,2021-01-20 21:42:05.000000,2021-01-20 18:11:29.000000,191,46.0,43.0,1051,319.0,An end-to-end PyTorch framework for image and video classification.,54.0,20,True,2020-11-20 16:42:56.000000,0.5.0,15.0,classy_vision,conda-forge/classy_vision,,,['pytorch'],,,https://pypi.org/project/classy_vision,2020-11-20 21:02:29.000000,,133.0,597.0,https://anaconda.org/conda-forge/classy_vision,2020-12-11 20:08:25.437000,5571.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n581,Torch Points 3D,nicolas-chaulet/torch-points3d,,image,https://github.com/nicolas-chaulet/torch-points3d,https://github.com/nicolas-chaulet/torch-points3d,BSD-3-Clause,2019-12-06 11:33:34.000000,2021-01-19 10:18:26.000000,2021-01-19 10:18:25.000000,149,41.0,154.0,1011,1571.0,Pytorch framework for doing deep learning on point clouds.,20.0,20,True,2020-12-18 10:33:50.000000,1.2.0,13.0,torch-points3d,,,,['pytorch'],2.0,2.0,https://pypi.org/project/torch-points3d,2020-12-18 10:34:16.000000,,246.0,246.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n582,Sockeye,awslabs/sockeye,,nlp,https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30.000000,2021-01-15 17:25:12.000000,2021-01-08 08:07:29.000000,290,21.0,220.0,983,732.0,Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet.,52.0,20,True,2021-01-08 08:11:37.000000,2.3.8,61.0,sockeye,,,,['mxnet'],2.0,,https://pypi.org/project/sockeye,2021-01-08 08:11:37.000000,2.0,560.0,560.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n583,TensorNets,taehoonlee/tensornets,,tensorflow-utils,https://github.com/taehoonlee/tensornets,https://github.com/taehoonlee/tensornets,MIT,2017-09-19 05:19:01.000000,2021-01-02 06:28:10.000000,2021-01-02 06:26:24.000000,184,14.0,42.0,974,284.0,High level network definitions with pre-trained weights in TensorFlow.,6.0,20,True,2020-03-31 04:38:27.000000,0.4.6,12.0,tensornets,,,,['tensorflow'],32.0,30.0,https://pypi.org/project/tensornets,2020-03-31 04:35:15.000000,2.0,268.0,268.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n584,Skater,oracle/Skater,,interpretability,https://github.com/oracle/Skater,https://github.com/oracle/Skater,UPL-1.0,2017-01-26 05:45:42.000000,2020-11-01 15:57:12.273000,2020-06-29 20:07:12.000000,156,63.0,97.0,968,1101.0,Python Library for Model Interpretation/Explanations.,34.0,20,False,2018-09-21 07:03:32.000000,1.1.2,23.0,skater,conda-forge/skater,,,,,,https://pypi.org/project/skater,2018-09-21 07:03:32.000000,,7182.0,7935.0,https://anaconda.org/conda-forge/skater,2020-11-01 15:57:12.273000,32383.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n585,Haiku,deepmind/dm-haiku,,ml-frameworks,https://github.com/deepmind/dm-haiku,https://github.com/deepmind/dm-haiku,Apache-2.0,2020-02-18 07:14:02.000000,2021-01-16 12:28:48.000000,2021-01-16 12:28:14.000000,63,18.0,48.0,913,468.0,JAX-based neural network library.,34.0,20,True,2020-11-24 11:25:05.000000,0.0.3,5.0,,,,,,57.0,57.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n586,fastFM,ibayer/fastFM,,recommender-systems,https://github.com/ibayer/fastFM,https://github.com/ibayer/fastFM,BSD-3-Clause,2014-10-27 12:25:51.000000,2020-03-05 14:57:53.000000,2020-03-05 14:57:52.000000,186,44.0,59.0,892,291.0,fastFM: A Library for Factorization Machines.,19.0,20,True,2017-11-23 06:59:56.000000,0.2.11,10.0,fastfm,,,,,77.0,73.0,https://pypi.org/project/fastfm,2017-11-23 06:59:56.000000,4.0,416.0,421.0,,,,,,,,3.0,374.0,,,,,,,,,,,,,,,,,,,,,,\n587,pyts,johannfaouzi/pyts,,time-series-data,https://github.com/johannfaouzi/pyts,https://github.com/johannfaouzi/pyts,BSD-3-Clause,2017-07-31 09:23:16.000000,2020-09-12 14:41:49.000000,2020-04-30 12:28:12.000000,92,23.0,19.0,853,360.0,A Python package for time series classification.,7.0,20,True,2020-03-21 12:41:33.000000,0.11.0,17.0,pyts,conda-forge/pyts,,,,82.0,80.0,https://pypi.org/project/pyts,2020-03-21 12:36:40.000000,2.0,1996.0,2341.0,https://anaconda.org/conda-forge/pyts,2020-03-21 14:08:24.734000,5881.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n588,mrq,pricingassistant/mrq,,data-pipelines,https://github.com/pricingassistant/mrq,https://github.com/pricingassistant/mrq,MIT,2014-02-13 09:32:40.000000,2021-01-07 22:22:25.000000,2020-12-13 18:58:15.000000,113,58.0,119.0,831,709.0,Mr. Queue - A distributed worker task queue in Python using Redis & gevent.,37.0,20,True,2018-08-31 16:03:04.000000,0.9.10,70.0,mrq,,,,,35.0,23.0,https://pypi.org/project/mrq,2018-08-31 16:03:04.000000,12.0,181.0,181.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n589,attention-ocr,emedvedev/attention-ocr,,ocr,https://github.com/emedvedev/attention-ocr,https://github.com/emedvedev/attention-ocr,MIT,2017-07-21 18:35:19.000000,2020-10-31 19:40:20.000000,2020-10-31 19:40:19.000000,227,16.0,125.0,824,196.0,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,27.0,20,True,2020-10-12 06:56:40.000000,0.7.6,21.0,aocr,,,,['tensorflow'],15.0,15.0,https://pypi.org/project/aocr,2019-04-19 05:28:27.000000,,138.0,138.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n590,nude.py,hhatto/nude.py,,image,https://github.com/hhatto/nude.py,https://github.com/hhatto/nude.py,MIT,2013-06-09 06:55:55.000000,2020-11-23 13:49:32.000000,2020-11-23 13:49:02.000000,128,6.0,2.0,789,79.0,Nudity detection with Python.,12.0,20,True,2020-11-23 13:49:17.000000,0.5.1,10.0,nudepy,,,,,65.0,56.0,https://pypi.org/project/nudepy,2020-11-23 13:49:17.000000,9.0,809.0,809.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n591,tf-explain,sicara/tf-explain,,interpretability,https://github.com/sicara/tf-explain,https://github.com/sicara/tf-explain,MIT,2019-07-15 08:26:24.000000,2021-01-05 16:15:09.000000,2021-01-05 16:15:08.000000,69,34.0,41.0,749,193.0,Interpretability Methods for tf.keras models with Tensorflow 2.x.,12.0,20,True,2020-02-14 09:00:00.000000,0.2.1,6.0,tf-explain,,,,['tensorflow'],60.0,59.0,https://pypi.org/project/tf-explain,2020-02-14 09:04:51.000000,1.0,971.0,971.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n592,mljar-supervised,mljar/mljar-supervised,,hyperopt,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000000,2021-01-21 11:57:22.000000,2021-01-21 11:56:47.000000,97,49.0,227.0,744,745.0,Automates Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning.,7.0,20,True,2021-01-14 20:46:00.000000,0.7.20,54.0,mljar-supervised,,,,,9.0,9.0,https://pypi.org/project/mljar-supervised,2021-01-14 20:46:00.000000,,2926.0,2926.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n593,keras-ocr,faustomorales/keras-ocr,,ocr,https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50.000000,2020-12-11 02:31:17.000000,2020-11-26 17:18:25.000000,171,28.0,96.0,742,161.0,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,9.0,20,True,2020-11-26 17:19:39.000000,0.8.6,26.0,keras-ocr,,,,['tensorflow'],1.0,,https://pypi.org/project/keras-ocr,2020-11-26 17:19:39.000000,1.0,1486.0,5147.0,,,,,,,,3.0,14644.0,,,,,,,,,,,,,,,,,,,,,,\n594,rows,turicas/rows,,data-loading,https://github.com/turicas/rows,https://github.com/turicas/rows,LGPL-3.0,2014-05-07 05:43:11.000000,2021-01-21 08:25:19.000000,2021-01-21 08:24:59.000000,130,138.0,149.0,732,738.0,\"A common, beautiful interface to tabular data, no matter the format.\",30.0,20,False,2019-02-14 21:20:15.000000,0.4.1,9.0,rows,,,,,135.0,114.0,https://pypi.org/project/rows,2019-02-14 21:12:03.000000,21.0,737.0,737.0,,,,,,,,3.0,37.0,,,,,,,,,,,,,,,,,,,,,,\n595,RecBole,RUCAIBox/RecBole,,recommender-systems,https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000000,2021-01-18 11:18:39.000000,2021-01-18 11:18:38.000000,100,24.0,54.0,716,2642.0,\"A unified, comprehensive and efficient recommendation library.\",27.0,20,True,2021-01-14 05:21:22.000000,0.2.0,4.0,recbole,aibox/recbole,,,['pytorch'],,,https://pypi.org/project/recbole,2021-01-14 05:21:22.000000,,109.0,200.0,https://anaconda.org/aibox/recbole,2021-01-14 06:11:03.469000,182.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n596,Madmom,CPJKU/madmom,,audio,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06.000000,2020-04-14 03:42:18.000000,2019-12-19 14:46:37.000000,120,54.0,177.0,707,1722.0,Python audio and music signal processing library.,19.0,20,False,2018-11-14 14:57:41.000000,0.16.1,11.0,madmom,,,,,149.0,115.0,https://pypi.org/project/madmom,2018-11-14 14:56:22.000000,34.0,1014.0,1014.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n597,mlens,flennerhag/mlens,,others,https://github.com/flennerhag/mlens,https://github.com/flennerhag/mlens,MIT,2017-01-10 20:53:47.000000,2020-02-25 14:32:48.000000,2020-02-25 14:31:53.000000,81,8.0,73.0,669,879.0,ML-Ensemble high performance ensemble learning.,7.0,20,True,2018-10-30 22:34:35.000000,0.2.3,14.0,mlens,,,,,100.0,100.0,https://pypi.org/project/mlens,2018-10-30 22:30:43.000000,,1799.0,1799.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n598,NeuPy,itdxer/neupy,,ml-frameworks,https://github.com/itdxer/neupy,https://github.com/itdxer/neupy,MIT,2015-08-24 19:45:11.000000,2020-01-15 08:04:33.000000,2019-09-02 19:02:38.000000,143,26.0,229.0,662,1145.0,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,6.0,20,False,2019-04-04 19:44:59.000000,0.8.2,34.0,neupy,,,,,111.0,101.0,https://pypi.org/project/neupy,2019-04-04 19:43:06.000000,10.0,801.0,801.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n599,NearPy,pixelogik/NearPy,,nn-search,https://github.com/pixelogik/NearPy,https://github.com/pixelogik/NearPy,MIT,2013-04-25 09:10:26.000000,2020-02-17 20:24:08.000000,2018-10-21 17:54:28.000000,135,22.0,38.0,658,159.0,\"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..\",18.0,20,False,2016-09-27 13:04:44.000000,1.0.0,8.0,NearPy,,,,,63.0,48.0,https://pypi.org/project/NearPy,2016-09-27 13:03:12.000000,15.0,1687.0,1687.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n600,Test Tube,williamFalcon/test-tube,,hyperopt,https://github.com/williamFalcon/test-tube,https://github.com/williamFalcon/test-tube,MIT,2017-09-06 02:14:57.000000,2021-01-17 20:04:39.000000,2020-03-17 22:44:47.000000,59,23.0,21.0,649,642.0,Python library to easily log experiments and parallelize hyperparameter search for neural networks.,16.0,20,True,2019-12-01 00:47:35.000000,0.7.4,53.0,test_tube,,,,,5.0,,https://pypi.org/project/test_tube,2018-12-12 22:45:59.000000,5.0,9232.0,9232.0,,,,,,,,3.0,7.0,,,,,,,,,,,,,,,,,,,,,,\n601,TensorBoard Logger,TeamHG-Memex/tensorboard_logger,,ml-experiments,https://github.com/TeamHG-Memex/tensorboard_logger,https://github.com/TeamHG-Memex/tensorboard_logger,MIT,2016-10-27 14:02:25.000000,2020-10-27 20:51:06.000000,2019-10-21 07:52:07.000000,52,9.0,15.0,609,46.0,Log TensorBoard events without touching TensorFlow.,5.0,20,False,2018-02-08 07:28:51.000000,0.1.0,5.0,tensorboard_logger,,,,,42.0,,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51.000000,42.0,71708.0,71708.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n602,torch-scatter,rusty1s/pytorch_scatter,,pytorch-utils,https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23.000000,2021-01-19 11:47:27.000000,2021-01-19 11:47:21.000000,73,57.0,110.0,580,810.0,PyTorch Extension Library of Optimized Scatter Operations.,14.0,20,True,2020-06-24 09:29:12.000000,2.0.5,24.0,torch-scatter,,,,['pytorch'],16.0,,https://pypi.org/project/torch-scatter,2020-02-22 16:51:10.000000,16.0,4597.0,4597.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n603,pdpipe,pdpipe/pdpipe,,data-pipelines,https://github.com/pdpipe/pdpipe,https://github.com/pdpipe/pdpipe,MIT,2017-01-24 20:37:22.000000,2021-01-19 11:34:24.000000,2021-01-19 11:34:15.000000,29,6.0,14.0,576,341.0,Easy pipelines for pandas DataFrames.,8.0,20,True,2020-11-09 09:32:37.000000,0.0.53,49.0,pdpipe,,,,['pandas'],23.0,23.0,https://pypi.org/project/pdpipe,2020-11-09 09:32:37.000000,,733.0,733.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n604,Mapbox GL,mapbox/mapboxgl-jupyter,,geospatial-data,https://github.com/mapbox/mapboxgl-jupyter,https://github.com/mapbox/mapboxgl-jupyter,MIT,2017-08-08 15:10:51.000000,2019-12-13 22:49:07.000000,2019-12-03 21:57:25.000000,119,34.0,67.0,553,220.0,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,20.0,20,False,2019-06-03 21:24:10.000000,0.10.2,20.0,mapboxgl,,,,['jupyter'],107.0,89.0,https://pypi.org/project/mapboxgl,2019-06-02 15:18:57.000000,18.0,4364.0,4364.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n605,bambi,bambinos/bambi,,probabilistics,https://github.com/bambinos/bambi,https://github.com/bambinos/bambi,MIT,2016-05-16 03:21:00.000000,2021-01-15 13:15:15.000000,2021-01-15 13:13:26.000000,50,26.0,128.0,537,521.0,BAyesian Model-Building Interface (Bambi) in Python.,15.0,20,True,2020-12-17 01:23:21.000000,0.3.0,10.0,bambi,,,,,11.0,8.0,https://pypi.org/project/bambi,2020-12-17 01:23:21.000000,3.0,191.0,191.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n606,alibi-detect,SeldonIO/alibi-detect,,others,https://github.com/SeldonIO/alibi-detect,https://github.com/SeldonIO/alibi-detect,Apache-2.0,2019-10-07 13:29:13.000000,2021-01-06 15:19:17.000000,2021-01-05 15:58:41.000000,54,31.0,41.0,534,307.0,\"Algorithms for outlier and adversarial instance detection, concept drift and metrics.\",7.0,20,True,2020-12-23 10:49:47.000000,0.4.4,9.0,alibi-detect,,,,,19.0,18.0,https://pypi.org/project/alibi-detect,2020-10-08 09:57:19.000000,1.0,1035.0,1035.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n607,deeplift,kundajelab/deeplift,,interpretability,https://github.com/kundajelab/deeplift,https://github.com/kundajelab/deeplift,MIT,2016-06-01 02:18:06.000000,2020-11-11 19:56:24.000000,2020-11-11 19:56:23.000000,118,29.0,46.0,497,551.0,Public facing deeplift repo.,11.0,20,True,2018-07-13 21:11:52.000000,0.6.6,21.0,deeplift,,,,,45.0,43.0,https://pypi.org/project/deeplift,2020-11-11 09:32:57.000000,2.0,456.0,456.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n608,Labml,lab-ml/labml,,ml-experiments,https://github.com/lab-ml/labml,https://github.com/lab-ml/labml,MIT,2018-11-16 09:34:48.000000,2021-01-21 05:08:53.000000,2021-01-21 05:08:37.000000,33,,6.0,356,892.0,Monitor PyTorch & TensorFlow model training from your mobile phone.,6.0,20,True,2021-01-21 05:08:53.000000,0.4.93,70.0,labml,,,,,20.0,20.0,https://pypi.org/project/labml,2021-01-21 05:08:53.000000,0.0,758.0,758.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n609,pydlm,wwrechard/pydlm,,time-series-data,https://github.com/wwrechard/pydlm,https://github.com/wwrechard/pydlm,BSD-3-Clause,2016-06-29 07:58:53.000000,2020-07-26 21:00:50.000000,2019-10-22 07:18:40.000000,80,33.0,7.0,352,362.0,A python library for Bayesian time series modeling.,6.0,20,False,2016-11-06 01:43:35.000000,0.1.1,13.0,pydlm,,,,,16.0,16.0,https://pypi.org/project/pydlm,2018-12-19 10:27:54.000000,,15129.0,15129.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n610,skope-rules,scikit-learn-contrib/skope-rules,,sklearn-utils,https://github.com/scikit-learn-contrib/skope-rules,https://github.com/scikit-learn-contrib/skope-rules,BSD-1-Clause,2018-02-18 13:42:47.000000,2020-12-11 14:42:41.000000,2020-10-23 14:31:57.000000,58,23.0,4.0,350,247.0,machine learning with logical rules in Python.,18.0,20,False,2020-12-11 09:37:02.000000,1.0.1,4.0,skope-rules,,,,['sklearn'],28.0,25.0,https://pypi.org/project/skope-rules,2020-01-25 12:01:37.000000,3.0,4620.0,4620.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n611,MedPy,loli/medpy,,medical-data,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34.000000,2020-05-01 15:25:39.000000,2020-05-01 15:25:38.000000,104,8.0,65.0,311,324.0,Medical image processing in Python.,13.0,20,False,2019-02-14 17:12:59.000000,0.4.0,6.0,MedPy,,,,,225.0,218.0,https://pypi.org/project/MedPy,2019-02-14 17:12:59.000000,7.0,2373.0,2373.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n612,Submit it,facebookincubator/submitit,,distributed-ml,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09.000000,2021-01-15 15:08:42.000000,2021-01-15 15:08:17.000000,17,10.0,14.0,296,42.0,Python 3.6+ toolbox for submitting jobs to Slurm.,9.0,20,True,2020-11-19 12:53:49.000000,1.1.5,8.0,submitit,conda-forge/submitit,,,,76.0,76.0,https://pypi.org/project/submitit,2020-12-01 08:14:16.000000,0.0,2061.0,2223.0,https://anaconda.org/conda-forge/submitit,2020-11-19 14:06:58.416000,810.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n613,sklearn-evaluation,edublancas/sklearn-evaluation,,interpretability,https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2015-09-04 16:33:42.000000,2020-12-28 15:14:00.000000,2020-12-28 15:10:09.000000,25,8.0,27.0,286,504.0,\"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook..\",5.0,20,True,2020-12-28 15:14:25.000000,0.5.4,16.0,sklearn-evaluation,,,,['sklearn'],28.0,26.0,https://pypi.org/project/sklearn-evaluation,2020-12-28 15:13:44.000000,2.0,213.0,213.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n614,rrcf,kLabUM/rrcf,,others,https://github.com/kLabUM/rrcf,https://github.com/kLabUM/rrcf,MIT,2018-10-20 05:39:05.000000,2021-01-13 23:05:23.000000,2020-06-10 01:07:39.000000,65,16.0,17.0,275,253.0,Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams.,4.0,20,True,2020-06-10 01:53:55.000000,0.4.3,7.0,rrcf,,,,,18.0,18.0,https://pypi.org/project/rrcf,2020-06-10 01:53:55.000000,,1995.0,1995.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n615,impyute,eltonlaw/impyute,,others,https://github.com/eltonlaw/impyute,https://github.com/eltonlaw/impyute,MIT,2017-01-21 09:16:27.000000,2020-06-12 21:08:40.000000,2019-10-05 20:39:08.000000,41,26.0,36.0,265,289.0,Data imputations library to preprocess datasets with missing data.,9.0,20,False,2019-04-29 02:31:32.000000,0.0.8,8.0,impyute,,,,,76.0,75.0,https://pypi.org/project/impyute,2019-04-29 02:31:32.000000,1.0,1695.0,1695.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n616,fletcher,xhochy/fletcher,,data-containers,https://github.com/xhochy/fletcher,https://github.com/xhochy/fletcher,MIT,2018-03-04 16:44:22.000000,2021-01-17 21:23:17.140000,2021-01-17 19:43:52.000000,32,33.0,40.0,207,513.0,Pandas ExtensionDType/Array backed by Apache Arrow.,23.0,20,True,2021-01-17 20:04:41.000000,0.7.2,15.0,fletcher,conda-forge/fletcher,,,['pandas'],3.0,3.0,https://pypi.org/project/fletcher,2020-12-29 12:02:47.000000,0.0,264.0,880.0,https://anaconda.org/conda-forge/fletcher,2021-01-17 21:23:17.140000,18454.0,,,,,3.0,12.0,,,,,,,,,,,,,,,,,,,,,,\n617,StaticFrame,InvestmentSystems/static-frame,,data-containers,https://github.com/InvestmentSystems/static-frame,https://github.com/InvestmentSystems/static-frame,MIT,2018-01-03 15:07:52.000000,2021-01-21 01:44:30.000000,2021-01-21 01:44:12.000000,20,36.0,237.0,206,2242.0,\"The StaticFrame library defines the Series and Frame, immutable data structures for one- and two-dimensional..\",14.0,20,True,2021-01-12 19:32:36.000000,0.7.13,96.0,static-frame,conda-forge/static-frame,,,,6.0,6.0,https://pypi.org/project/static-frame,2021-01-12 19:31:15.000000,,1157.0,3787.0,https://anaconda.org/conda-forge/static-frame,2021-01-12 21:46:54.764000,60490.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n618,Auto ViML,AutoViML/Auto_ViML,,hyperopt,https://github.com/AutoViML/Auto_ViML,https://github.com/AutoViML/Auto_ViML,Apache-2.0,2019-06-10 13:09:15.000000,2021-01-15 14:52:54.000000,2021-01-15 14:48:07.000000,52,3.0,13.0,199,284.0,Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome...,6.0,20,True,2021-01-04 21:54:14.000000,0.1.677,126.0,autoviml,,,,,13.0,13.0,https://pypi.org/project/autoviml,2021-01-15 14:52:54.000000,,508.0,508.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n619,scikit-posthocs,maximtrp/scikit-posthocs,,probabilistics,https://github.com/maximtrp/scikit-posthocs,https://github.com/maximtrp/scikit-posthocs,MIT,2017-06-22 19:41:37.000000,2020-10-19 08:16:22.000000,2020-10-19 08:16:21.000000,18,3.0,32.0,169,430.0,Pairwise Multiple Comparisons (Post Hoc) Tests in Python.,7.0,20,True,2020-10-12 19:15:07.000000,0.6.6,20.0,scikit-posthocs,,,,['sklearn'],104.0,101.0,https://pypi.org/project/scikit-posthocs,2020-10-12 19:06:51.000000,3.0,6899.0,6899.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,,,,,\n620,stop-words,Alir3z4/python-stop-words,,nlp,https://github.com/Alir3z4/python-stop-words,https://github.com/Alir3z4/python-stop-words,BSD-3-Clause,2014-05-26 06:44:03.000000,2019-10-16 15:01:43.000000,2018-07-23 21:04:09.000000,20,3.0,9.0,121,90.0,Get list of common stop words in various languages in Python.,8.0,20,False,2018-07-23 20:58:34.000000,2018.7.23,8.0,stop-words,,,,,1271.0,1067.0,https://pypi.org/project/stop-words,2018-07-23 20:55:55.000000,204.0,39541.0,39541.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n621,graph-nets,deepmind/graph_nets,,graph,https://github.com/deepmind/graph_nets,https://github.com/deepmind/graph_nets,Apache-2.0,2018-08-31 08:19:28.000000,2020-12-04 17:43:48.000000,2020-12-04 17:43:47.000000,716,9.0,103.0,4756,47.0,Build Graph Nets in Tensorflow.,10.0,19,True,2020-01-29 16:00:25.000000,1.1.0,7.0,graph-nets,,,,['tensorflow'],7.0,,https://pypi.org/project/graph-nets,2020-01-29 16:00:25.000000,7.0,674.0,674.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n622,Qlib,microsoft/qlib,,financial-data,https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000000,2021-01-21 13:18:54.000000,2021-01-20 16:07:03.000000,565,54.0,48.0,3724,,\"Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research,..\",27.0,19,True,2020-12-12 09:59:16.000000,0.6.1,15.0,pyqlib,,,,['pytorch'],,,https://pypi.org/project/pyqlib,2020-12-12 09:59:16.000000,,1880.0,1928.0,,,,,,,,3.0,194.0,,,,,,,,,,,,,,,,,,,,,,\n623,AdaBound,Luolc/AdaBound,,pytorch-utils,https://github.com/Luolc/AdaBound,https://github.com/Luolc/AdaBound,Apache-2.0,2019-02-15 18:05:20.000000,2019-03-06 17:01:52.000000,2019-03-06 17:01:45.000000,317,16.0,7.0,2826,27.0,An optimizer that trains as fast as Adam and as good as SGD.,2.0,19,False,2019-03-06 16:44:42.000000,0.0.5,4.0,adabound,,,,['pytorch'],101.0,95.0,https://pypi.org/project/adabound,2019-02-26 04:23:45.000000,6.0,923.0,923.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n624,BytePS,bytedance/byteps,,distributed-ml,https://github.com/bytedance/byteps,https://github.com/bytedance/byteps,Apache-2.0,2019-06-25 07:00:13.000000,2021-01-21 08:12:57.000000,2021-01-18 09:02:53.000000,363,70.0,140.0,2665,411.0,A high performance and generic framework for distributed DNN training.,16.0,19,True,2020-08-27 15:42:13.000000,0.2.4,7.0,byteps,,bytepsimage/tensorflow,,,,,https://pypi.org/project/byteps,2020-11-04 00:05:46.000000,,57.0,108.0,,,,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,974.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n625,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,,graph,https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16.000000,2021-01-19 22:30:41.000000,2021-01-19 22:30:34.000000,358,31.0,99.0,2656,142.0,Generate embeddings from large-scale graph-structured data.,19.0,19,True,2019-10-14 16:45:11.000000,1.0.0,3.0,torchbiggraph,,,,['pytorch'],4.0,,https://pypi.org/project/torchbiggraph,2019-05-01 21:31:13.000000,4.0,251.0,255.0,,,,,,,,3.0,101.0,,,,,,,,,,,,,,,,,,,,,,\n626,vit-pytorch,lucidrains/vit-pytorch,,image,https://github.com/lucidrains/vit-pytorch,https://github.com/lucidrains/vit-pytorch,MIT,2020-10-03 22:47:24.000000,2021-01-12 14:55:45.000000,2021-01-12 14:55:45.000000,202,22.0,38.0,2323,,\"Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single..\",4.0,19,True,2021-01-11 18:49:51.000000,0.6.6,24.0,vit-pytorch,,,,['pytorch'],4.0,4.0,https://pypi.org/project/vit-pytorch,2021-01-11 18:49:51.000000,,1166.0,1166.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n627,tf-quant-finance,google/tf-quant-finance,,financial-data,https://github.com/google/tf-quant-finance,https://github.com/google/tf-quant-finance,Apache-2.0,2019-07-24 16:09:50.000000,2021-01-20 15:34:28.000000,2021-01-20 15:34:21.000000,277,11.0,10.0,2191,618.0,High-performance TensorFlow library for quantitative finance.,30.0,19,True,,,20.0,tf-quant-finance,,,,['tensorflow'],4.0,4.0,https://pypi.org/project/tf-quant-finance,2020-09-18 21:02:09.000000,,120.0,120.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n628,Apache Singa,apache/singa,,distributed-ml,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000000,2021-01-20 03:00:28.355000,2021-01-15 13:09:22.000000,570,49.0,32.0,2166,2265.0,a distributed deep learning platform.,70.0,19,True,2020-04-21 08:01:08.000000,3.0.0,14.0,,nusdbsystem/singa,apache/singa,,,,,,,,,7.0,https://anaconda.org/nusdbsystem/singa,2021-01-20 03:00:28.355000,250.0,https://hub.docker.com/r/apache/singa,2019-06-04 04:32:52.195956,2.0,165.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n629,DeepWalk,phanein/deepwalk,,graph,https://github.com/phanein/deepwalk,https://github.com/phanein/deepwalk,GPL-3.0,2014-08-23 03:38:20.000000,2020-04-02 01:05:36.000000,2020-04-02 01:05:35.000000,755,29.0,78.0,2161,46.0,DeepWalk - Deep Learning for Graphs.,10.0,19,False,2018-04-29 21:05:18.000000,1.0.3,4.0,deepwalk,,,,,42.0,35.0,https://pypi.org/project/deepwalk,2018-04-29 21:05:18.000000,7.0,1133.0,1133.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n630,Kashgari,BrikerMan/Kashgari,,nlp,https://github.com/BrikerMan/Kashgari,https://github.com/BrikerMan/Kashgari,Apache-2.0,2019-01-19 01:53:28.000000,2020-12-09 02:13:33.000000,2020-10-29 08:08:00.000000,377,32.0,300.0,2009,,Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-..,19.0,19,True,2020-10-30 12:37:01.000000,2.0.1,23.0,kashgari-tf,,,,['tensorflow'],20.0,19.0,https://pypi.org/project/kashgari-tf,2019-06-26 12:27:50.000000,1.0,125.0,125.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n631,HiPlot,facebookresearch/hiplot,,data-viz,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41.000000,2021-01-11 09:04:54.000000,2021-01-11 08:56:16.000000,89,6.0,41.0,1903,110.0,HiPlot makes understanding high dimensional data easy.,6.0,19,True,2020-11-30 11:40:56.000000,0.1.22,33.0,hiplot,conda-forge/hiplot,,,,2.0,2.0,https://pypi.org/project/hiplot,2020-12-23 15:11:20.000000,0.0,1831.0,5558.0,https://anaconda.org/conda-forge/hiplot,2020-12-23 17:16:15.884000,41002.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n632,Coach,IntelLabs/coach,,reinforcement-learning,https://github.com/IntelLabs/coach,https://github.com/IntelLabs/coach,Apache-2.0,2017-10-01 19:27:43.000000,2020-12-21 12:46:30.000000,2020-12-15 08:02:16.000000,374,80.0,181.0,1896,512.0,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,34.0,19,True,2019-10-10 14:17:10.000000,1.0.1,13.0,rl_coach,,,,,1.0,,https://pypi.org/project/rl_coach,2019-10-10 14:17:10.000000,1.0,116.0,116.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n633,cuML,rapidsai/cuml,,gpu-utilities,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000000,2021-01-21 14:10:18.000000,2021-01-20 09:52:31.000000,300,629.0,924.0,1892,,cuML - RAPIDS Machine Learning Library.,121.0,19,True,2020-12-10 21:50:49.000000,0.17.0,5.0,cuml,,,,,,,https://pypi.org/project/cuml,2019-04-11 16:57:48.000000,,285.0,285.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n634,hiddenlayer,waleedka/hiddenlayer,,ml-experiments,https://github.com/waleedka/hiddenlayer,https://github.com/waleedka/hiddenlayer,MIT,2018-05-18 22:34:51.000000,2020-04-24 07:32:11.000000,2020-04-24 06:58:09.000000,194,43.0,32.0,1367,58.0,\"Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.\",6.0,19,True,2018-12-03 04:33:29.000000,0.2,3.0,hiddenlayer,,,,\"['pytorch', 'tensorflow', 'jupyter']\",56.0,52.0,https://pypi.org/project/hiddenlayer,2020-04-24 07:32:11.000000,4.0,1082.0,1082.0,,,,,,,,3.0,,,,,,,,,,,,,-1.0,,,,,,,,,,\n635,DLTK,DLTK/DLTK,,medical-data,https://github.com/DLTK/DLTK,https://github.com/DLTK/DLTK,Apache-2.0,2017-05-02 15:40:36.000000,2021-01-15 01:31:30.000000,2019-01-21 14:01:28.000000,380,7.0,24.0,1236,379.0,Deep Learning Toolkit for Medical Image Analysis.,9.0,19,False,,,5.0,dltk,,,,['tensorflow'],17.0,17.0,https://pypi.org/project/dltk,2018-02-26 17:43:57.000000,,49.0,49.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n636,doc2text,jlsutherland/doc2text,,ocr,https://github.com/jlsutherland/doc2text,https://github.com/jlsutherland/doc2text,MIT,2016-08-28 19:30:02.000000,2020-12-01 22:56:27.000000,2020-12-01 22:56:26.000000,92,12.0,9.0,1226,62.0,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,5.0,19,True,2016-09-06 21:59:21.000000,0.2.4,5.0,doc2text,,,,,32.0,32.0,https://pypi.org/project/doc2text,2016-09-06 21:59:21.000000,,222.0,222.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n637,Sweetviz,fbdesignpro/sweetviz,,data-viz,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47.000000,2020-12-10 14:32:35.000000,2020-12-10 14:30:47.000000,134,21.0,43.0,1197,77.0,\"Visualize and compare datasets, target values and associations, with one line of code.\",6.0,19,True,2020-12-10 14:32:35.000000,2.0.4,22.0,sweetviz,,,,,,,https://pypi.org/project/sweetviz,2020-12-10 14:32:35.000000,,6814.0,6814.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n638,TaskTiger,closeio/tasktiger,,data-pipelines,https://github.com/closeio/tasktiger,https://github.com/closeio/tasktiger,MIT,2015-05-14 00:26:32.000000,2021-01-14 19:17:24.000000,2020-12-17 16:07:11.000000,58,30.0,31.0,1038,250.0,Python task queue using Redis.,19.0,19,True,2019-10-29 19:32:58.000000,0.10.1,22.0,tasktiger,,,,,28.0,19.0,https://pypi.org/project/tasktiger,2020-06-18 22:08:56.000000,9.0,298.0,298.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n639,gplearn,trevorstephens/gplearn,,others,https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14.000000,2020-02-15 08:12:38.000000,2020-02-15 08:12:17.000000,151,28.0,114.0,902,146.0,\"Genetic Programming in Python, with a scikit-learn inspired API.\",10.0,19,True,2019-06-01 02:04:52.000000,0.4.1,5.0,gplearn,,,,['sklearn'],133.0,126.0,https://pypi.org/project/gplearn,2019-06-01 02:04:52.000000,7.0,922.0,922.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n640,geoplotlib,andrea-cuttone/geoplotlib,,geospatial-data,https://github.com/andrea-cuttone/geoplotlib,https://github.com/andrea-cuttone/geoplotlib,MIT,2015-02-24 13:13:07.000000,2020-04-10 20:00:31.000000,2019-05-06 07:06:50.000000,144,23.0,18.0,890,159.0,python toolbox for visualizing geographical data and making maps.,8.0,19,False,2016-07-27 14:55:01.000000,0.3.2,4.0,geoplotlib,,,,,96.0,87.0,https://pypi.org/project/geoplotlib,2016-07-27 14:55:01.000000,9.0,737.0,737.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n641,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,,pytorch-utils,https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000000,2021-01-14 11:53:14.000000,2021-01-14 11:53:13.000000,71,3.0,14.0,877,610.0,PyTorch extensions for fast R&D prototyping and Kaggle farming.,5.0,19,True,2021-01-14 10:42:46.000000,0.4.1,19.0,pytorch_toolbelt,,,,['pytorch'],1.0,,https://pypi.org/project/pytorch_toolbelt,2021-01-14 10:42:46.000000,1.0,5142.0,5142.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n642,Paddle Graph Learning,PaddlePaddle/PGL,,graph,https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28.000000,2020-12-29 02:54:01.000000,2020-12-14 07:02:53.000000,117,15.0,28.0,876,349.0,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,17.0,19,True,2020-12-18 16:59:53.000000,2.0.0a,6.0,pgl,,,,['paddle'],11.0,9.0,https://pypi.org/project/pgl,2020-11-20 06:23:47.000000,2.0,409.0,409.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n643,calamari,Calamari-OCR/calamari,,ocr,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,Apache-2.0,2018-03-20 15:22:29.000000,2021-01-21 11:27:54.000000,2021-01-19 16:18:11.000000,163,21.0,133.0,768,308.0,Line based ATR Engine based on OCRopy.,17.0,19,True,2021-01-19 17:04:33.000000,2.0.0,23.0,calamari_ocr,,,,,2.0,,https://pypi.org/project/calamari_ocr,2018-11-13 11:24:45.000000,2.0,377.0,377.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n644,TensorFrames,databricks/tensorframes,,distributed-ml,https://github.com/databricks/tensorframes,https://github.com/databricks/tensorframes,Apache-2.0,2016-03-04 19:25:19.000000,2020-11-13 17:47:02.000000,2019-11-15 21:43:53.000000,159,51.0,43.0,768,221.0,[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark.,16.0,19,False,2018-11-16 20:50:02.000000,0.6.0,6.0,tensorframes,,,,\"['tensorflow', 'spark']\",,,https://pypi.org/project/tensorframes,2018-05-16 14:20:28.000000,,3975.0,3975.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n645,tffm,geffy/tffm,,tensorflow-utils,https://github.com/geffy/tffm,https://github.com/geffy/tffm,MIT,2016-05-02 17:06:07.000000,2020-05-22 21:40:58.000000,2020-05-22 21:40:57.000000,174,17.0,20.0,755,106.0,TensorFlow implementation of an arbitrary order Factorization Machine.,10.0,19,True,2018-01-27 11:43:26.000000,1.0.1,2.0,tffm,,,,['tensorflow'],10.0,9.0,https://pypi.org/project/tffm,2018-01-27 11:43:26.000000,1.0,1248.0,1248.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n646,TabNet,dreamquark-ai/tabnet,,pytorch-utils,https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000000,2021-01-20 13:39:18.000000,2021-01-12 18:17:44.000000,142,31.0,97.0,744,164.0,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,17.0,19,True,2021-01-12 18:18:02.000000,3.1.0,16.0,pytorch-tabnet,,,,['pytorch'],,,https://pypi.org/project/pytorch-tabnet,2021-01-12 18:18:02.000000,,2249.0,2249.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n647,YouTokenToMe,vkcom/youtokentome,,nlp,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28.000000,2020-10-01 23:24:11.000000,2020-02-13 09:49:37.000000,42,21.0,20.0,708,76.0,Unsupervised text tokenizer focused on computational efficiency.,6.0,19,True,2020-02-13 09:57:47.000000,1.0.6,14.0,youtokentome,,,,,101.0,95.0,https://pypi.org/project/youtokentome,2020-02-12 18:24:46.000000,6.0,5216.0,5216.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n648,FairScale,facebookresearch/fairscale,,distributed-ml,https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000000,2021-01-21 14:41:33.000000,2021-01-21 13:51:50.000000,46,28.0,58.0,700,207.0,PyTorch extensions for high performance and large scale training.,19.0,19,True,2021-01-07 18:59:10.000000,0.1.4,8.0,fairscale,,,,['pytorch'],2.0,2.0,https://pypi.org/project/fairscale,2021-01-07 18:16:47.000000,,1674.0,1674.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n649,TF Recommenders,tensorflow/recommenders,,recommender-systems,https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01.000000,2021-01-21 00:51:17.000000,2021-01-20 22:49:31.000000,73,34.0,48.0,696,,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,17.0,19,True,2021-01-21 00:51:17.000000,0.4.0,8.0,tensorflow-recommenders,,,,['tensorflow'],11.0,11.0,https://pypi.org/project/tensorflow-recommenders,2021-01-21 00:51:17.000000,,3287.0,3287.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n650,pytorch-forecasting,jdb78/pytorch-forecasting,,time-series-data,https://github.com/jdb78/pytorch-forecasting,https://github.com/jdb78/pytorch-forecasting,MIT,2020-07-03 13:05:24.000000,2021-01-21 06:27:15.000000,2021-01-21 00:05:02.000000,68,27.0,76.0,640,607.0,Time series forecasting with PyTorch.,11.0,19,True,2021-01-12 21:10:06.000000,0.8.2,23.0,pytorch-forecasting,,,,,,,https://pypi.org/project/pytorch-forecasting,2021-01-12 21:10:06.000000,,2946.0,2946.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n651,finetune,IndicoDataSolutions/finetune,,nlp,https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16.000000,2021-01-16 12:29:52.000000,2021-01-06 19:43:32.000000,67,18.0,115.0,630,1201.0,Scikit-learn style model finetuning for NLP.,18.0,19,True,2019-11-07 19:42:32.000000,0.8.6,37.0,finetune,,,,\"['tensorflow', 'sklearn']\",11.0,9.0,https://pypi.org/project/finetune,2020-01-10 22:42:24.000000,2.0,99.0,99.0,,,,,,,,3.0,,,,,,,,,,,,,-1.0,,,,,,,,,,\n652,NGT,yahoojapan/NGT,,nn-search,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000000,2021-01-21 01:43:07.000000,2021-01-21 01:41:55.000000,67,7.0,69.0,609,117.0,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,10.0,19,True,2021-01-12 23:33:02.000000,1.12.3,46.0,ngt,,,,,3.0,,https://pypi.org/project/ngt,2020-09-23 06:52:45.000000,3.0,2816.0,2816.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n653,matrixprofile-ts,target/matrixprofile-ts,,time-series-data,https://github.com/target/matrixprofile-ts,https://github.com/target/matrixprofile-ts,Apache-2.0,2018-09-10 19:03:34.000000,2020-04-25 18:38:20.000000,2020-04-25 18:37:42.000000,90,19.0,33.0,604,198.0,A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile.,15.0,19,True,2019-08-08 01:24:38.000000,0.0.9,9.0,matrixprofile-ts,,,,,11.0,11.0,https://pypi.org/project/matrixprofile-ts,2019-08-08 01:24:38.000000,,2669.0,2669.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n654,baikal,alegonz/baikal,,others,https://github.com/alegonz/baikal,https://github.com/alegonz/baikal,BSD-3-Clause,2019-01-21 12:59:02.000000,2021-01-18 14:25:44.000000,2021-01-18 14:25:42.000000,28,4.0,11.0,569,394.0,A graph-based functional API for building complex scikit-learn pipelines.,2.0,19,True,2020-05-17 12:40:17.000000,0.4.2,7.0,baikal,conda-forge/cython-blis,,,,3.0,3.0,https://pypi.org/project/baikal,2020-11-15 13:40:18.000000,,33.0,17720.0,https://anaconda.org/conda-forge/cython-blis,2020-12-07 11:23:01.451000,389127.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n655,PFRL,pfnet/pfrl,,reinforcement-learning,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50.000000,2021-01-19 06:41:47.000000,2021-01-06 00:43:43.000000,60,22.0,21.0,496,319.0,PFRL: a PyTorch-based deep reinforcement learning library.,10.0,19,True,2020-12-17 04:57:58.000000,0.2.1,4.0,pfrl,,,,,4.0,4.0,https://pypi.org/project/pfrl,2020-12-17 05:00:25.000000,,370.0,370.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n656,iterative-stratification,trent-b/iterative-stratification,,sklearn-utils,https://github.com/trent-b/iterative-stratification,https://github.com/trent-b/iterative-stratification,BSD-3-Clause,2018-02-04 00:32:10.000000,2020-09-12 15:32:44.000000,2020-09-12 15:35:02.000000,44,1.0,10.0,492,47.0,scikit-learn cross validators for iterative stratification of multilabel data.,4.0,19,True,2018-08-12 18:12:43.000000,0.1.6,5.0,iterative-stratification,,,,['sklearn'],99.0,99.0,https://pypi.org/project/iterative-stratification,2018-08-12 18:28:50.000000,,2821.0,2821.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n657,lets-plot,JetBrains/lets-plot,,data-viz,https://github.com/JetBrains/lets-plot,https://github.com/JetBrains/lets-plot,MIT,2019-03-20 16:13:03.000000,2021-01-21 11:26:04.000000,2021-01-21 11:25:49.000000,15,41.0,71.0,479,1740.0,An open-source plotting library for statistical data.,14.0,19,True,2020-12-23 21:48:58.000000,1.5.6,26.0,lets-plot,,,,,,,https://pypi.org/project/lets-plot,2020-12-23 21:38:29.000000,,4827.0,4827.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n658,N2,kakao/n2,,nn-search,https://github.com/kakao/n2,https://github.com/kakao/n2,Apache-2.0,2017-11-23 02:27:59.000000,2020-10-21 05:15:27.000000,2020-10-21 05:14:11.000000,51,17.0,22.0,450,242.0,TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets.,17.0,19,True,2020-10-16 03:43:47.000000,0.1.7,8.0,n2,,,,,14.0,12.0,https://pypi.org/project/n2,2020-10-16 02:48:11.000000,2.0,337.0,337.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n659,HpBandSter,automl/HpBandSter,,hyperopt,https://github.com/automl/HpBandSter,https://github.com/automl/HpBandSter,BSD-3-Clause,2017-12-17 20:28:20.000000,2020-09-06 09:54:54.000000,2019-03-26 09:26:28.000000,92,53.0,34.0,440,187.0,a distributed Hyperband implementation on Steroids.,11.0,19,False,2019-07-30 12:47:43.000000,1.0,6.0,hpbandster,,,,,125.0,109.0,https://pypi.org/project/hpbandster,2018-10-24 09:31:01.000000,16.0,4778.0,4778.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n660,What-If Tool,PAIR-code/what-if-tool,,interpretability,https://github.com/PAIR-code/what-if-tool,https://github.com/PAIR-code/what-if-tool,Apache-2.0,2018-09-07 20:26:10.000000,2021-01-19 14:40:37.214000,2021-01-19 14:26:52.000000,90,34.0,35.0,424,313.0,Source code/webpage/demos for the What-If Tool.,18.0,19,True,2021-01-19 14:40:37.214000,1.8.0,38.0,witwidget,,,,,0.0,,https://pypi.org/project/witwidget,2021-01-19 14:40:21.000000,0.0,2642.0,4651.0,,,,,,,,3.0,,,wit-widget,https://www.npmjs.com/package/wit-widget,2021-01-19 14:40:37.214000,,2009.0,,,,,,,,,,,,,,,,\n661,Poutyne,GRAAL-Research/poutyne,,pytorch-utils,https://github.com/GRAAL-Research/poutyne,https://github.com/GRAAL-Research/poutyne,LGPL-3.0,2017-12-07 18:30:17.000000,2021-01-20 17:00:58.000000,2020-12-24 16:52:02.000000,47,12.0,33.0,422,495.0,A simplified framework and utilities for PyTorch.,15.0,19,False,2020-12-24 17:01:16.000000,1.2,18.0,poutyne,,,,['pytorch'],54.0,52.0,https://pypi.org/project/poutyne,2020-12-24 17:02:00.000000,2.0,739.0,739.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n662,Feature Engine,solegalli/feature_engine,,others,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2018-12-31 01:47:18.000000,2021-01-19 19:42:42.000000,2021-01-15 13:25:01.000000,126,27.0,71.0,420,102.0,Feature engineering package with sklearn like functionality.,20.0,19,True,2021-01-11 13:09:23.000000,1.0.1,24.0,feature_engine,conda-forge/feature_engine,,,,2.0,,https://pypi.org/project/feature_engine,2021-01-11 13:09:23.000000,2.0,12844.0,13088.0,https://anaconda.org/conda-forge/feature_engine,2021-01-11 14:21:26.008000,1222.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n663,pivottablejs,nicolaskruchten/jupyter_pivottablejs,,data-viz,https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,MIT,2015-09-09 13:39:18.000000,2018-12-04 14:43:26.000000,2018-12-04 14:43:25.000000,55,16.0,37.0,415,32.0,\"Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js.\",3.0,19,False,2018-01-15 18:14:37.000000,0.9.0,10.0,pivottablejs,,,,['jupyter'],157.0,143.0,https://pypi.org/project/pivottablejs,2018-01-15 18:14:37.000000,14.0,5142.0,5142.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n664,seglearn,dmbee/seglearn,,time-series-data,https://github.com/dmbee/seglearn,https://github.com/dmbee/seglearn,BSD-3-Clause,2018-03-05 20:53:59.000000,2021-01-17 19:11:59.000000,2021-01-16 23:21:41.000000,47,6.0,20.0,413,267.0,Python module for machine learning time series:.,13.0,19,True,2020-04-02 15:26:06.000000,1.2.2,21.0,seglearn,,,,,7.0,6.0,https://pypi.org/project/seglearn,2021-01-17 19:11:59.000000,1.0,1790.0,1790.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n665,animatplot,t-makaro/animatplot,,data-viz,https://github.com/t-makaro/animatplot,https://github.com/t-makaro/animatplot,MIT,2017-04-03 00:54:04.000000,2020-10-06 02:02:00.460000,2020-10-05 06:14:18.000000,33,16.0,15.0,353,178.0,A python package for animating plots build on matplotlib.,7.0,19,True,2020-10-05 06:20:52.000000,0.4.2,10.0,animatplot,conda-forge/animatplot,,,,15.0,14.0,https://pypi.org/project/animatplot,2020-10-05 06:20:52.000000,1.0,116.0,337.0,https://anaconda.org/conda-forge/animatplot,2020-10-06 02:02:00.460000,5091.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n666,lazypredict,shankarpandala/lazypredict,,hyperopt,https://github.com/shankarpandala/lazypredict,https://github.com/shankarpandala/lazypredict,MIT,2019-11-16 09:56:35.000000,2021-01-21 03:36:19.000000,2021-01-21 03:36:18.000000,77,42.0,22.0,345,81.0,Lazy Predict help build a lot of basic models without much code and helps understand which models works better without..,8.0,19,True,2020-07-09 04:53:31.000000,0.2.7,9.0,lazypredict,,,,['sklearn'],17.0,17.0,https://pypi.org/project/lazypredict,2020-07-09 04:53:31.000000,,1261.0,1261.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n667,MXBoard,awslabs/mxboard,,ml-experiments,https://github.com/awslabs/mxboard,https://github.com/awslabs/mxboard,Apache-2.0,2018-02-06 23:03:51.000000,2020-01-24 23:21:56.000000,2020-01-24 23:21:55.000000,46,16.0,15.0,330,42.0,Logging MXNet data for visualization in TensorBoard.,9.0,19,True,2018-05-22 20:25:51.000000,0.1.0,12.0,mxboard,,,,['mxnet'],94.0,93.0,https://pypi.org/project/mxboard,2018-05-22 20:25:51.000000,1.0,2166.0,2166.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n668,scikit-rebate,EpistasisLab/scikit-rebate,,others,https://github.com/EpistasisLab/scikit-rebate,https://github.com/EpistasisLab/scikit-rebate,MIT,2016-09-19 13:36:17.000000,2020-08-21 15:39:02.000000,2020-07-18 19:05:12.000000,56,15.0,17.0,302,281.0,\"A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for..\",13.0,19,True,2017-04-12 16:12:01.000000,0.3.4,11.0,skrebate,,,,['sklearn'],148.0,117.0,https://pypi.org/project/skrebate,2020-07-18 19:16:45.000000,31.0,992.0,992.0,,,,,,,,3.0,,,,,,,,,,,,,-1.0,,,,,,,,,,\n669,AutoViz,AutoViML/AutoViz,,data-viz,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06.000000,2020-12-21 03:22:01.000000,2020-12-21 03:21:52.000000,54,5.0,16.0,290,97.0,\"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..\",10.0,19,True,2020-12-10 02:33:19.000000,0.0.81,26.0,autoviz,,,,,26.0,26.0,https://pypi.org/project/autoviz,2020-12-10 02:33:19.000000,,960.0,960.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n670,PyKEEN,pykeen/pykeen,,graph,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000000,2021-01-21 13:50:53.000000,2021-01-21 11:59:25.000000,44,50.0,62.0,280,2263.0,A Python library for learning and evaluating knowledge graph embeddings.,17.0,19,True,2021-01-20 11:50:48.000000,1.1.0,33.0,pykeen,,,,,1.0,,https://pypi.org/project/pykeen,2021-01-20 11:43:06.000000,1.0,176.0,186.0,,,,,,,,3.0,73.0,,,,,,,,,,,,,,,,,,,,,,\n671,scikit-tda,scikit-tda/scikit-tda,,sklearn-utils,https://github.com/scikit-tda/scikit-tda,https://github.com/scikit-tda/scikit-tda,MIT,2018-04-13 21:00:31.000000,2021-01-09 19:51:04.000000,2021-01-09 19:50:05.000000,32,11.0,3.0,262,56.0,Topological Data Analysis for Python.,2.0,19,True,2021-01-09 19:51:04.000000,0.1.0,3.0,scikit-tda,,,,['sklearn'],18.0,18.0,https://pypi.org/project/scikit-tda,2021-01-09 19:51:04.000000,,4334.0,4334.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n672,textpipe,textpipe/textpipe,,nlp,https://github.com/textpipe/textpipe,https://github.com/textpipe/textpipe,MIT,2018-06-21 16:23:32.000000,2021-01-11 08:42:34.000000,2020-10-12 08:19:03.000000,18,20.0,24.0,260,366.0,Textpipe: clean and extract metadata from text.,27.0,19,True,2020-10-12 08:24:19.000000,0.12.1,38.0,textpipe,,,,,8.0,7.0,https://pypi.org/project/textpipe,2020-10-12 08:24:19.000000,1.0,571.0,571.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n673,explainerdashboard,oegedijk/explainerdashboard,,interpretability,https://github.com/oegedijk/explainerdashboard,https://github.com/oegedijk/explainerdashboard,MIT,2019-10-30 08:26:16.000000,2021-01-20 16:24:19.000000,2021-01-14 10:15:20.000000,37,9.0,49.0,258,490.0,Quickly build Explainable AI dashboards that show the inner workings of so-called blackbox machine learning models.,8.0,19,True,2021-01-14 10:25:38.000000,0.2.20.1,62.0,explainerdashboard,,,,,3.0,3.0,https://pypi.org/project/explainerdashboard,2021-01-14 10:26:10.000000,,1197.0,1197.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n674,pyfasttext,vrasneur/pyfasttext,,nlp,https://github.com/vrasneur/pyfasttext,https://github.com/vrasneur/pyfasttext,GPL-3.0,2017-06-30 18:44:42.000000,2018-12-08 15:32:09.000000,2018-12-08 15:02:12.000000,31,19.0,28.0,229,153.0,Yet another Python binding for fastText.,4.0,19,False,2018-12-08 15:02:54.000000,0.4.6,13.0,pyfasttext,,,,,138.0,133.0,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09.000000,5.0,1630.0,1637.0,,,,,,,,3.0,318.0,,,,,,,,,,,,,,,,,,,,,,\n675,recmetrics,statisticianinstilettos/recmetrics,,recommender-systems,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49.000000,2020-12-03 21:21:02.000000,2020-12-03 21:21:00.000000,53,7.0,7.0,226,233.0,A library of metrics for evaluating recommender systems.,12.0,19,True,2019-02-10 16:12:38.000000,0.0.9,11.0,recmetrics,,,,,16.0,16.0,https://pypi.org/project/recmetrics,2019-02-10 16:12:38.000000,,701.0,701.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n676,skift,shaypal5/skift,,nlp,https://github.com/shaypal5/skift,https://github.com/shaypal5/skift,MIT,2018-02-03 11:37:21.000000,2021-01-19 11:35:21.000000,2021-01-19 11:35:09.000000,22,2.0,8.0,209,127.0,scikit-learn wrappers for Python fastText.,6.0,19,True,2020-08-04 07:56:43.000000,0.0.19,15.0,skift,,,,['sklearn'],8.0,8.0,https://pypi.org/project/skift,2020-08-27 15:01:05.000000,,1101.0,1101.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n677,quinn,MrPowers/quinn,,ml-experiments,https://github.com/MrPowers/quinn,https://github.com/MrPowers/quinn,Apache-2.0,2017-09-15 13:02:42.000000,2020-07-29 16:22:29.000000,2020-07-29 15:47:58.000000,26,17.0,6.0,203,106.0,pyspark methods to enhance developer productivity.,6.0,19,True,2020-07-26 02:55:16.000000,0.8.0,11.0,quinn,,,,['spark'],3.0,,https://pypi.org/project/quinn,2020-07-26 02:55:16.000000,3.0,105018.0,105018.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n678,Crypto Signals,CryptoSignal/crypto-signal,,financial-data,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24.000000,2020-12-29 14:48:31.000000,2020-09-03 12:26:48.000000,642,43.0,187.0,2449,563.0,\"Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 2,100 + stars, 580 + forks.\",25.0,18,True,,,,,,shadowreaver/crypto-signal,,,,,,,,,1027.0,,,,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133,8.0,41104.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n679,Spotlight,maciejkula/spotlight,,recommender-systems,https://github.com/maciejkula/spotlight,https://github.com/maciejkula/spotlight,MIT,2017-06-25 18:52:19.000000,2020-11-15 08:21:28.000000,2020-02-09 21:03:48.000000,366,64.0,48.0,2393,299.0,Deep recommender models using PyTorch.,11.0,18,True,2019-09-08 10:19:53.000000,0.1.6,7.0,,maciejkula/spotlight,,,['pytorch'],,,,,,,137.0,https://anaconda.org/maciejkula/spotlight,2018-05-27 18:32:12.235000,5908.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n680,spark-deep-learning,databricks/spark-deep-learning,,data-pipelines,https://github.com/databricks/spark-deep-learning,https://github.com/databricks/spark-deep-learning,Apache-2.0,2017-05-31 17:30:28.000000,2021-01-20 15:05:13.000000,2021-01-20 15:00:20.000000,442,73.0,26.0,1798,135.0,Deep Learning Pipelines for Apache Spark.,15.0,18,True,2020-01-08 19:50:31.000000,1.6.0,9.0,,,,,['spark'],16.0,16.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n681,riko,nerevu/riko,,data-pipelines,https://github.com/nerevu/riko,https://github.com/nerevu/riko,MIT,2016-06-02 12:22:51.000000,2020-08-14 18:29:28.000000,2020-08-14 16:47:45.000000,72,22.0,8.0,1550,1257.0,A Python stream processing engine modeled after Yahoo! Pipes.,18.0,18,True,2020-08-14 18:29:28.000000,0.66.0,58.0,riko,,,,,1.0,,https://pypi.org/project/riko,2020-08-14 18:29:28.000000,1.0,124.0,124.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n682,NeuroNER,Franck-Dernoncourt/NeuroNER,,nlp,https://github.com/Franck-Dernoncourt/NeuroNER,https://github.com/Franck-Dernoncourt/NeuroNER,MIT,2017-03-07 01:24:15.000000,2020-11-13 18:07:48.000000,2019-10-02 23:26:11.000000,440,78.0,67.0,1526,132.0,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,7.0,18,False,2019-10-02 23:30:15.000000,1.0.8,7.0,pyneuroner,,,,,8.0,8.0,https://pypi.org/project/pyneuroner,2019-10-02 23:30:15.000000,,84.0,84.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n683,Higher,facebookresearch/higher,,pytorch-utils,https://github.com/facebookresearch/higher,https://github.com/facebookresearch/higher,Apache-2.0,2019-09-06 18:58:36.000000,2020-11-23 06:15:24.000000,2020-10-28 16:53:07.000000,73,24.0,47.0,1029,28.0,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,6.0,18,True,2020-07-14 12:20:32.000000,0.2.1,2.0,higher,,,,['pytorch'],28.0,28.0,https://pypi.org/project/higher,2020-07-14 12:20:32.000000,,642.0,642.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n684,Databolt Flow,d6t/d6tflow,,data-pipelines,https://github.com/d6t/d6tflow,https://github.com/d6t/d6tflow,MIT,2019-02-03 01:51:22.000000,2021-01-01 18:15:45.000000,2020-12-19 21:46:11.000000,64,5.0,11.0,894,106.0,Python library for building highly effective data science workflows.,10.0,18,True,2020-10-19 04:14:45.000000,0.2.2,19.0,d6tflow,,,,,12.0,12.0,https://pypi.org/project/d6tflow,2020-12-19 22:37:20.000000,,140.0,140.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n685,Bounter,RaRe-Technologies/bounter,,data-containers,https://github.com/RaRe-Technologies/bounter,https://github.com/RaRe-Technologies/bounter,MIT,2017-07-18 07:24:15.000000,2020-08-17 06:37:51.000000,2020-08-16 11:55:16.000000,48,11.0,9.0,893,152.0,Efficient Counter that uses a limited (bounded) amount of memory regardless of data size.,8.0,18,True,2019-01-17 09:39:52.000000,1.1.1,7.0,bounter,,,,,34.0,20.0,https://pypi.org/project/bounter,2020-08-17 06:37:51.000000,14.0,229.0,229.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n686,Norfair,tryolabs/norfair,,image,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000000,2020-12-22 05:04:27.000000,2020-12-22 05:04:25.000000,46,5.0,13.0,780,242.0,Lightweight Python library for adding real-time 2D object tracking to any detector.,7.0,18,True,2020-12-07 18:34:32.000000,0.1.8,9.0,norfair,,,,,,,https://pypi.org/project/norfair,2020-12-07 18:34:32.000000,,247.0,247.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n687,DALEX,ModelOriented/DALEX,,interpretability,https://github.com/ModelOriented/DALEX,https://github.com/ModelOriented/DALEX,GPL-3.0,2018-02-18 03:24:12.000000,2021-01-18 22:16:26.000000,2021-01-06 20:33:02.000000,108,9.0,245.0,757,531.0,moDel Agnostic Language for Exploration and eXplanation.,16.0,18,False,2021-01-04 17:21:32.000000,1.0.0,18.0,dalex,,,,,7.0,7.0,https://pypi.org/project/dalex,2020-12-28 23:47:30.000000,,482.0,482.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n688,pytorch2keras,nerox8664/pytorch2keras,,model-serialisation,https://github.com/nerox8664/pytorch2keras,https://github.com/nerox8664/pytorch2keras,MIT,2017-11-16 20:21:43.000000,2020-05-14 10:03:56.000000,2020-05-14 10:03:04.000000,111,39.0,65.0,655,277.0,PyTorch to Keras model convertor.,11.0,18,True,2020-05-14 10:03:56.000000,0.2.4,23.0,pytorch2keras,,,,,18.0,17.0,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56.000000,1.0,370.0,370.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n689,Torchbearer,pytorchbearer/torchbearer,,ml-frameworks,https://github.com/pytorchbearer/torchbearer,https://github.com/pytorchbearer/torchbearer,MIT,2018-03-12 16:30:42.000000,2020-02-17 21:18:06.000000,2020-02-17 21:18:01.000000,62,8.0,237.0,580,427.0,torchbearer: A model fitting library for PyTorch.,13.0,18,True,2020-01-31 14:07:22.000000,0.5.3,24.0,torchbearer,,,,['pytorch'],40.0,37.0,https://pypi.org/project/torchbearer,2020-01-31 14:05:56.000000,3.0,175.0,175.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n690,vecstack,vecxoz/vecstack,,others,https://github.com/vecxoz/vecstack,https://github.com/vecxoz/vecstack,MIT,2016-11-08 13:23:21.000000,2020-09-14 08:31:07.000000,2019-10-30 09:27:48.000000,66,,34.0,573,189.0,Python package for stacking (machine learning technique).,1.0,18,False,2019-08-12 16:09:01.000000,0.4.0,6.0,vecstack,,,,,104.0,100.0,https://pypi.org/project/vecstack,2019-08-12 16:01:22.000000,4.0,752.0,752.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n691,Objax,google/objax,,ml-frameworks,https://github.com/google/objax,https://github.com/google/objax,Apache-2.0,2020-08-20 06:20:40.000000,2021-01-20 01:10:55.000000,2021-01-20 01:10:54.000000,42,31.0,48.0,554,391.0,Objax is a machine learning framework that provides an Object Oriented layer for JAX.,19.0,18,True,2020-11-02 23:25:20.000000,1.2.0,4.0,objax,,,,['jax'],5.0,5.0,https://pypi.org/project/objax,2020-11-02 23:09:45.000000,,201.0,201.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,,,,\n692,pyhsmm,mattjj/pyhsmm,,probabilistics,https://github.com/mattjj/pyhsmm,https://github.com/mattjj/pyhsmm,MIT,2012-03-18 17:40:13.000000,2020-09-29 20:58:26.000000,2020-08-24 17:03:59.000000,147,34.0,60.0,477,1426.0,Bayesian inference in HSMMs and HMMs.,13.0,18,True,2017-05-10 17:14:37.000000,0.1.7,8.0,pyhsmm,,,,,21.0,17.0,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37.000000,4.0,47.0,47.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n693,robustness,MadryLab/robustness,,adversarial,https://github.com/MadryLab/robustness,https://github.com/MadryLab/robustness,MIT,2019-08-21 09:26:33.000000,2020-12-01 06:11:12.000000,2020-12-01 05:49:45.000000,80,5.0,49.0,458,137.0,\"A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.\",11.0,18,True,2020-12-01 06:11:12.000000,1.2.1.post2,8.0,robustness,,,,,33.0,32.0,https://pypi.org/project/robustness,2020-08-05 04:42:24.000000,1.0,250.0,250.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n694,PyWaffle,gyli/PyWaffle,,data-viz,https://github.com/gyli/PyWaffle,https://github.com/gyli/PyWaffle,MIT,2017-11-14 20:03:47.000000,2020-07-26 23:22:17.000000,2020-07-26 23:22:13.000000,61,2.0,10.0,383,249.0,Make Waffle Charts in Python.,6.0,18,True,2020-07-26 19:16:45.000000,0.6.1,22.0,pywaffle,,,,,39.0,39.0,https://pypi.org/project/pywaffle,2020-07-26 19:16:45.000000,,692.0,692.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n695,Camphr,PKSHATechnology-Research/camphr,,nlp,https://github.com/PKSHATechnology-Research/camphr,https://github.com/PKSHATechnology-Research/camphr,Apache-2.0,2020-02-10 03:39:58.000000,2021-01-21 08:21:22.000000,2021-01-21 00:58:57.000000,15,13.0,16.0,322,1097.0,\"spaCy plugin for Transformers , Udify, ELmo, etc.\",7.0,18,True,2020-12-25 08:53:36.000000,0.7.2,37.0,camphr,,,,['spacy'],,,https://pypi.org/project/camphr,2020-12-25 08:53:36.000000,,370.0,370.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n696,apricot,jmschrei/apricot,,others,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12.000000,2020-09-30 20:53:48.000000,2020-09-30 20:53:44.000000,29,3.0,11.0,300,151.0,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,2.0,18,True,2020-09-28 07:19:15.000000,0.6.0,13.0,apricot-select,,,,,12.0,12.0,https://pypi.org/project/apricot-select,2020-09-28 07:19:15.000000,,273.0,273.0,,,,,,,,3.0,8.0,,,,,,,,,,,,,,,,,,,,,,\n697,sk-dist,Ibotta/sk-dist,,distributed-ml,https://github.com/Ibotta/sk-dist,https://github.com/Ibotta/sk-dist,Apache-2.0,2019-08-14 21:07:17.000000,2021-01-07 17:01:27.000000,2021-01-07 17:01:23.000000,42,7.0,9.0,250,46.0,Distributed scikit-learn meta-estimators in PySpark.,6.0,18,True,2020-05-14 22:20:14.000000,0.1.9,12.0,sk-dist,,,,\"['sklearn', 'spark']\",8.0,6.0,https://pypi.org/project/sk-dist,2020-05-14 22:20:14.000000,2.0,3298.0,3298.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n698,Brainiak,brainiak/brainiak,,medical-data,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27.000000,2020-10-15 21:11:03.379549,2020-10-15 16:28:46.000000,106,63.0,117.0,229,388.0,Brain Imaging Analysis Kit.,32.0,18,True,2019-08-27 23:52:29.000000,0.9.1,15.0,brainiak,,brainiak/brainiak,,,13.0,12.0,https://pypi.org/project/brainiak,2020-10-15 20:45:08.000000,1.0,105.0,112.0,,,,https://hub.docker.com/r/brainiak/brainiak,2020-10-15 21:11:03.379549,1.0,464.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n699,DeepGraph,deepgraph/deepgraph,,graph,https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45.000000,2021-01-15 08:36:25.609000,2020-10-01 13:17:00.000000,33,7.0,5.0,227,160.0,Analyze Data with Pandas-based Networks. Documentation:.,2.0,18,True,2020-10-01 13:20:38.000000,0.2.3,13.0,deepgraph,conda-forge/deepgraph,,,['pandas'],1.0,1.0,https://pypi.org/project/deepgraph,2020-10-01 13:18:38.000000,,231.0,2098.0,https://anaconda.org/conda-forge/deepgraph,2021-01-15 08:36:25.609000,76559.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n700,ivis,beringresearch/ivis,,data-viz,https://github.com/beringresearch/ivis,https://github.com/beringresearch/ivis,GPL-2.0,2018-08-13 08:31:01.000000,2021-01-20 11:32:35.000000,2021-01-20 11:32:25.000000,19,4.0,39.0,220,517.0,Dimensionality reduction in very large datasets using Siamese Networks.,7.0,18,False,2021-01-06 17:09:59.000000,2.0.1,27.0,ivis,,,,['tensorflow'],14.0,14.0,https://pypi.org/project/ivis,2021-01-06 17:07:15.000000,0.0,617.0,617.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n701,FiftyOne,voxel51/fiftyone,,data-viz,https://github.com/voxel51/fiftyone,https://github.com/voxel51/fiftyone,Apache-2.0,2020-04-22 13:43:28.000000,2021-01-21 16:03:31.000000,2021-01-21 16:01:43.000000,15,117.0,186.0,180,5467.0,\"Visualize, create, and debug image and video datasets and model predictions.\",10.0,18,True,2021-01-08 19:08:48.000000,0.7.1,38.0,fiftyone,,,,\"['tensorflow', 'pytorch', 'jupyter']\",,,https://pypi.org/project/fiftyone,2021-01-16 00:00:47.000000,,340.0,340.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n702,fairness-indicators,tensorflow/fairness-indicators,,interpretability,https://github.com/tensorflow/fairness-indicators,https://github.com/tensorflow/fairness-indicators,Apache-2.0,2019-09-30 22:56:45.000000,2021-01-15 22:10:15.000000,2021-01-15 22:10:04.000000,49,16.0,5.0,174,235.0,Tensorflow's Fairness Evaluation and Visualization Toolkit.,19.0,18,True,2020-12-17 03:33:37.000000,0.26.0,12.0,fairness-indicators,,,,\"['tensorflow', 'jupyter']\",,,https://pypi.org/project/fairness-indicators,2020-12-17 03:33:37.000000,,439.0,439.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n703,Funsor,pyro-ppl/funsor,,probabilistics,https://github.com/pyro-ppl/funsor,https://github.com/pyro-ppl/funsor,Apache-2.0,2019-01-30 23:13:39.000000,2021-01-21 15:29:12.000000,2021-01-21 15:21:07.000000,15,55.0,56.0,158,470.0,Functional tensors for probabilistic programming.,9.0,18,True,2020-10-15 15:54:49.000000,0.3.0,5.0,funsor,,,,['pytorch'],7.0,7.0,https://pypi.org/project/funsor,2020-10-15 15:54:49.000000,,201.0,201.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n704,Auto TS,AutoViML/Auto_TS,,time-series-data,https://github.com/AutoViML/Auto_TS,https://github.com/AutoViML/Auto_TS,Apache-2.0,2020-02-15 15:23:32.000000,2021-01-20 13:20:31.000000,2021-01-20 13:20:21.000000,34,6.0,21.0,152,229.0,\"Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of..\",5.0,18,True,2021-01-18 17:56:33.000000,0.0.34,13.0,auto-ts,,,,,,,https://pypi.org/project/auto-ts,2021-01-18 17:56:33.000000,,501.0,501.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n705,flupy,olirice/flupy,,data-pipelines,https://github.com/olirice/flupy,https://github.com/olirice/flupy,MIT,2018-01-06 16:46:04.000000,2021-01-06 12:37:41.000000,2021-01-06 12:37:33.000000,9,,7.0,152,176.0,Fluent data pipelines for python and your shell.,4.0,18,True,2021-01-06 12:37:15.000000,1.1.6,34.0,flupy,,,,,0.0,,https://pypi.org/project/flupy,2021-01-06 12:37:15.000000,0.0,2090.0,2090.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n706,Glow,projectglow/glow,,medical-data,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47.000000,2021-01-20 22:54:38.000000,2021-01-20 22:54:37.000000,40,22.0,47.0,151,300.0,An open-source toolkit for large-scale genomic analysis.,11.0,18,True,2020-09-10 18:38:52.000000,0.6.0,9.0,glow.py,,,,,,,https://pypi.org/project/glow.py,2020-09-10 01:15:03.000000,,587.0,587.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n707,ploomber,ploomber/ploomber,,data-pipelines,https://github.com/ploomber/ploomber,https://github.com/ploomber/ploomber,Apache-2.0,2020-01-20 20:13:06.000000,2021-01-18 18:02:10.000000,2021-01-18 16:32:19.000000,1,50.0,231.0,114,1461.0,\"A convention over configuration workflow orchestrator. Develop locally (Jupyter or your favorite editor), deploy to..\",4.0,18,False,2021-01-09 00:47:02.000000,0.8.6,33.0,ploomber,,,,,13.0,13.0,https://pypi.org/project/ploomber,2021-01-18 16:53:22.000000,,404.0,404.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n708,DeepMind Lab,deepmind/lab,,reinforcement-learning,https://github.com/deepmind/lab,https://github.com/deepmind/lab,GPL-2.0,2016-11-30 13:41:26.000000,2021-01-15 11:53:52.000000,2021-01-11 18:00:59.000000,1286,37.0,151.0,6384,475.0,A customisable 3D platform for agent-based AI research.,7.0,17,False,2020-12-07 11:26:33.000000,release-2020-12-07,8.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n709,TTS,mozilla/TTS,,audio,https://github.com/mozilla/TTS,https://github.com/mozilla/TTS,MPL-2.0,2018-01-23 14:22:06.000000,2021-01-20 21:00:30.000000,2021-01-18 10:01:03.000000,632,25.0,414.0,3083,2122.0,Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts).,49.0,17,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n710,PaddleDetection,PaddlePaddle/PaddleDetection,,image,https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000000,2021-01-21 14:54:27.000000,2021-01-20 13:36:59.000000,613,294.0,849.0,2218,685.0,Object detection and instance segmentation toolkit based on PaddlePaddle.,43.0,17,True,2019-11-27 05:15:38.000000,0.1.0,1.0,,,,,['paddle'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n711,Mara Pipelines,mara/mara-pipelines,,data-pipelines,https://github.com/mara/mara-pipelines,https://github.com/mara/mara-pipelines,MIT,2018-03-31 20:37:22.000000,2020-12-31 02:02:28.000000,2020-07-31 19:24:31.000000,76,6.0,11.0,1607,127.0,\"A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow.\",15.0,17,True,2020-07-31 19:31:29.000000,3.1.1,7.0,mara-pipelines,,,,,7.0,7.0,https://pypi.org/project/mara-pipelines,2020-07-31 19:26:16.000000,,26.0,26.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n712,BlazingSQL,BlazingDB/blazingsql,,gpu-utilities,https://github.com/BlazingDB/blazingsql,https://github.com/BlazingDB/blazingsql,Apache-2.0,2018-09-24 18:25:45.000000,2021-01-21 14:24:29.000000,2021-01-20 02:42:55.000000,132,247.0,320.0,1385,,\"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.\",39.0,17,True,2020-12-14 17:43:48.000000,0.17.0,15.0,,blazingsql/blazingsql-protocol,,,,,,,,,,57.0,https://anaconda.org/blazingsql/blazingsql-protocol,2019-11-11 19:54:17.621000,914.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n713,Advisor,tobegit3hub/advisor,,hyperopt,https://github.com/tobegit3hub/advisor,https://github.com/tobegit3hub/advisor,Apache-2.0,2017-09-14 03:50:33.000000,2019-11-11 07:09:57.869705,2019-11-11 06:59:31.000000,240,19.0,13.0,1335,165.0,Open-source implementation of Google Vizier for hyper parameters tuning.,11.0,17,False,2018-10-18 02:54:09.000000,0.1.6,4.0,advisor,,tobegit3hub/advisor,,,,,https://pypi.org/project/advisor,2018-10-18 02:54:09.000000,,32.0,70.0,,,,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1547.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n714,Antialiased CNNs,adobe/antialiased-cnns,,pytorch-utils,https://github.com/adobe/antialiased-cnns,https://github.com/adobe/antialiased-cnns,CC BY-NC-SA 4.0,2019-05-14 20:51:25.000000,2020-10-23 22:45:52.000000,2020-10-22 19:40:07.000000,171,9.0,29.0,1335,238.0,pip install antialiased-cnns to improve stability and accuracy.,6.0,17,False,2020-10-23 22:45:52.000000,0.3,6.0,antialiased-cnns,,,,['pytorch'],,,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49.000000,,294.0,294.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n715,River,online-ml/river,,others,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000000,2021-01-21 10:21:01.000000,2021-01-18 22:57:24.000000,162,38.0,239.0,1296,2952.0,Online machine learning in Python.,58.0,17,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n716,Lambda Networks,lucidrains/lambda-networks,,pytorch-utils,https://github.com/lucidrains/lambda-networks,https://github.com/lucidrains/lambda-networks,MIT,2020-10-08 19:01:15.000000,2020-11-18 19:54:34.000000,2020-11-18 19:54:30.000000,132,8.0,15.0,1278,,\"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.\",3.0,17,True,2020-11-18 08:18:54.000000,0.4.0,11.0,lambda-networks,,,,['pytorch'],,,https://pypi.org/project/lambda-networks,2020-10-20 21:49:22.000000,,1358.0,1358.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n717,Backtesting.py,kernc/backtesting.py,,financial-data,https://github.com/kernc/backtesting.py,https://github.com/kernc/backtesting.py,AGPL-3.0,2019-01-02 03:11:32.000000,2020-12-24 19:57:36.000000,2020-12-24 19:57:35.000000,225,20.0,164.0,930,214.0,Backtest trading strategies in Python.,8.0,17,False,2017-07-22 02:00:06.000000,0.0.1,1.0,backtesting,,,,,,,https://pypi.org/project/backtesting,2017-07-22 02:00:06.000000,,2796.0,2796.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n718,Fiber,uber/fiber,,distributed-ml,https://github.com/uber/fiber,https://github.com/uber/fiber,Apache-2.0,2020-01-07 18:16:24.000000,2020-10-06 14:39:41.000000,2020-10-06 14:39:12.000000,89,13.0,5.0,836,60.0,Distributed Computing for AI Made Simple.,5.0,17,True,2020-07-09 03:28:28.000000,0.2.1,6.0,fiber,,,,,18.0,17.0,https://pypi.org/project/fiber,2020-07-09 03:28:28.000000,1.0,884.0,884.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n719,advertorch,BorealisAI/advertorch,,adversarial,https://github.com/BorealisAI/advertorch,https://github.com/BorealisAI/advertorch,GPL-3.0,2018-11-29 22:17:33.000000,2020-09-25 15:01:47.000000,2020-06-15 01:16:18.000000,120,13.0,28.0,794,270.0,A Toolbox for Adversarial Robustness Research.,16.0,17,False,2020-06-15 01:20:07.000000,0.2.3,10.0,advertorch,,,,['pytorch'],32.0,29.0,https://pypi.org/project/advertorch,2020-06-15 01:20:07.000000,3.0,456.0,456.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n720,sklearn-deap,rsteca/sklearn-deap,,hyperopt,https://github.com/rsteca/sklearn-deap,https://github.com/rsteca/sklearn-deap,MIT,2015-10-28 22:52:34.000000,2019-12-03 13:29:06.000000,2019-12-03 13:29:04.000000,107,21.0,31.0,622,98.0,Use evolutionary algorithms instead of gridsearch in scikit-learn.,20.0,17,False,2019-07-15 09:24:09.000000,0.2.4,13.0,sklearn-deap,,,,['sklearn'],25.0,23.0,https://pypi.org/project/sklearn-deap,2019-07-15 09:24:09.000000,2.0,291.0,291.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n721,ADTK,arundo/adtk,,time-series-data,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22.000000,2020-04-29 19:54:40.000000,2020-04-17 02:27:44.000000,75,22.0,30.0,585,78.0,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,11.0,17,True,2020-04-17 02:18:00.000000,0.6.2,13.0,adtk,,,,,,,https://pypi.org/project/adtk,2020-04-17 02:18:00.000000,,27734.0,27734.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n722,Dragonfly,dragonfly/dragonfly,,hyperopt,https://github.com/dragonfly/dragonfly,https://github.com/dragonfly/dragonfly,MIT,2018-04-20 22:19:50.000000,2020-07-26 17:44:31.000000,2020-07-03 18:01:17.000000,72,21.0,17.0,556,397.0,An open source python library for scalable Bayesian optimisation.,12.0,17,True,2020-07-03 18:05:12.000000,0.1.6,9.0,dragonfly-opt,,,,,2.0,,https://pypi.org/project/dragonfly-opt,2020-07-03 18:05:12.000000,2.0,2681.0,2681.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n723,RLax,deepmind/rlax,,reinforcement-learning,https://github.com/deepmind/rlax,https://github.com/deepmind/rlax,Apache-2.0,2020-02-18 07:14:59.000000,2021-01-13 10:38:57.000000,2021-01-13 10:38:21.000000,40,3.0,3.0,541,101.0,A library of reinforcement learning building blocks in JAX.,10.0,17,True,2020-02-19 23:01:30.000000,0.1.0,3.0,rlax,,,,['jax'],10.0,10.0,https://pypi.org/project/rlax,2020-02-19 23:01:30.000000,,137.0,137.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n724,SKLL,EducationalTestingService/skll,,ml-experiments,https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,BSD-1-Clause,2013-08-02 14:31:46.000000,2021-01-11 14:48:37.000000,2021-01-05 19:18:47.000000,62,41.0,327.0,518,,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,34.0,17,False,2020-03-13 17:22:26.000000,2.1,63.0,skll,,,,['sklearn'],45.0,28.0,https://pypi.org/project/skll,2020-03-13 16:23:35.000000,17.0,184.0,184.0,,,,,,,,3.0,10.0,,,,,,,,,,,,,,,,,,,,,,\n725,DiCE,interpretml/DiCE,,interpretability,https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000000,2021-01-21 05:53:51.000000,2021-01-21 05:53:52.000000,64,12.0,18.0,437,289.0,Generate Diverse Counterfactual Explanations for any machine learning model.,9.0,17,True,2020-09-22 06:31:10.000000,0.4,2.0,dice-ml,,,,\"['tensorflow', 'pytorch']\",,,https://pypi.org/project/dice-ml,2020-09-22 06:57:33.000000,,163.0,163.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n726,TF Compression,tensorflow/compression,,tensorflow-utils,https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19.000000,2021-01-19 16:42:21.000000,2021-01-19 07:53:49.000000,149,1.0,54.0,424,140.0,Data compression in TensorFlow.,9.0,17,True,2021-01-06 01:50:06.000000,2.0b2,8.0,tensorflow-compression,,,,['tensorflow'],1.0,,https://pypi.org/project/tensorflow-compression,2021-01-06 01:36:13.000000,1.0,381.0,381.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n727,lightly,lightly-ai/lightly,,image,https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000000,2021-01-21 15:52:08.000000,2021-01-19 08:30:43.000000,21,23.0,19.0,396,310.0,A python library for self-supervised learning on images.,5.0,17,True,2021-01-11 11:30:44.000000,1.0.8,11.0,lightly,,,,['pytorch'],1.0,1.0,https://pypi.org/project/lightly,2021-01-11 11:34:22.000000,,160.0,160.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n728,kglib,graknlabs/kglib,,graph,https://github.com/graknlabs/kglib,https://github.com/graknlabs/kglib,Apache-2.0,2018-09-16 16:46:48.000000,2021-01-15 11:17:51.000000,2021-01-15 11:17:51.000000,70,10.0,49.0,386,487.0,Grakn Knowledge Graph Library (ML R&D).,7.0,17,True,2020-08-19 15:32:49.000000,0.2.2,7.0,grakn-kglib,,,,,,,https://pypi.org/project/grakn-kglib,2020-08-19 15:39:10.000000,,48.0,56.0,,,,,,,,3.0,206.0,,,,,,,,,,,,,,,,,,,,,,\n729,Sematch,gsi-upm/sematch,,graph,https://github.com/gsi-upm/sematch,https://github.com/gsi-upm/sematch,Apache-2.0,2012-11-30 11:11:53.000000,2020-11-05 21:20:52.000000,2019-03-27 03:17:24.000000,99,14.0,19.0,337,122.0,semantic similarity framework for knowledge graph.,5.0,17,False,2017-04-17 10:56:52.000000,1.0.4,5.0,sematch,,,,,29.0,26.0,https://pypi.org/project/sematch,2017-04-17 10:56:52.000000,3.0,34.0,34.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n730,atspy,firmai/atspy,,time-series-data,https://github.com/firmai/atspy,https://github.com/firmai/atspy,MIT,2020-01-28 05:00:10.000000,2020-12-01 13:53:03.000000,2020-11-12 16:15:26.000000,63,16.0,2.0,328,97.0,AtsPy: Automated Time Series Models in Python (by @firmai).,5.0,17,True,2020-11-12 16:10:48.000000,zen,39.0,atspy,,,,,3.0,3.0,https://pypi.org/project/atspy,2020-04-24 18:16:15.000000,,227.0,227.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n731,tick,X-DataInitiative/tick,,time-series-data,https://github.com/X-DataInitiative/tick,https://github.com/X-DataInitiative/tick,BSD-3-Clause,2016-12-01 10:59:08.000000,2020-08-11 12:36:43.000000,2020-06-15 12:01:36.000000,74,55.0,159.0,323,413.0,\"Module for statistical learning, with a particular emphasis on time-dependent modelling.\",16.0,17,True,2019-09-11 11:25:15.000000,0.6,23.0,tick,,,,,30.0,29.0,https://pypi.org/project/tick,2020-05-24 22:01:17.000000,1.0,390.0,393.0,,,,,,,,3.0,155.0,,,,,,,,,,,,,,,,,,,,,,\n732,Baal,ElementAI/baal,,probabilistics,https://github.com/ElementAI/baal,https://github.com/ElementAI/baal,Apache-2.0,2019-09-30 20:16:26.000000,2021-01-20 23:08:55.000000,2020-12-11 19:04:35.000000,24,12.0,22.0,309,92.0,Using approximate bayesian posteriors in deep nets for active learning.,8.0,17,True,2020-11-03 21:14:13.000000,1.2.1,7.0,baal,,,,,6.0,6.0,https://pypi.org/project/baal,2020-11-03 21:07:08.000000,,109.0,109.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n733,Orbit,uber/orbit,,probabilistics,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000000,2021-01-21 01:26:56.000000,2021-01-20 19:50:11.000000,14,22.0,141.0,300,574.0,Bayesian forecasting with object-oriented design and probabilistic models under the hood.,7.0,17,True,2020-11-15 23:46:41.000000,1.0.9,9.0,orbit-ml,,,,,3.0,3.0,https://pypi.org/project/orbit-ml,2020-11-15 23:46:41.000000,,86.0,86.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n734,DESlib,scikit-learn-contrib/DESlib,,sklearn-utils,https://github.com/scikit-learn-contrib/DESlib,https://github.com/scikit-learn-contrib/DESlib,BSD-3-Clause,2017-12-08 22:49:49.000000,2021-01-01 23:30:58.000000,2021-01-01 23:30:55.000000,66,12.0,121.0,294,260.0,A Python library for dynamic classifier and ensemble selection.,12.0,17,True,,,3.0,deslib,,,,['sklearn'],13.0,13.0,https://pypi.org/project/deslib,2019-02-18 16:47:48.000000,,122.0,122.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n735,Sherpa,sherpa-ai/sherpa,,hyperopt,https://github.com/sherpa-ai/sherpa,https://github.com/sherpa-ai/sherpa,GPL-3.0,2018-05-16 21:41:54.000000,2020-10-18 07:57:50.000000,2020-10-18 07:57:48.000000,43,11.0,41.0,280,823.0,\"Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.\",43.0,17,False,2020-07-31 05:29:09.000000,1.0.7,8.0,parameter-sherpa,,,,,8.0,7.0,https://pypi.org/project/parameter-sherpa,2019-11-23 21:32:27.000000,1.0,311.0,311.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n736,pandas-ml,pandas-ml/pandas-ml,,others,https://github.com/pandas-ml/pandas-ml,https://github.com/pandas-ml/pandas-ml,BSD-3-Clause,2015-02-21 03:14:04.000000,2020-08-14 12:29:33.000000,2019-03-05 01:36:55.000000,57,24.0,17.0,265,153.0,\"pandas, scikit-learn, xgboost and seaborn integration.\",4.0,17,False,2019-03-05 01:36:12.000000,0.6.1,9.0,pandas-ml,,,,\"['sklearn', 'pandas']\",,,https://pypi.org/project/pandas-ml,2019-03-05 01:35:23.000000,,2355.0,2355.0,,,,,,,,3.0,5.0,,,,,,,,,,,,,,,,,,,,,,\n737,somoclu,peterwittek/somoclu,,distributed-ml,https://github.com/peterwittek/somoclu,https://github.com/peterwittek/somoclu,MIT,2013-01-16 06:33:16.000000,2020-10-13 18:39:07.609000,2020-07-24 13:00:47.000000,56,25.0,103.0,221,590.0,\"Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters.\",17.0,17,True,2018-03-03 02:44:37.000000,1.7.5,17.0,somoclu,conda-forge/somoclu,,,,2.0,,https://pypi.org/project/somoclu,2020-04-25 05:33:32.000000,2.0,1103.0,2084.0,https://anaconda.org/conda-forge/somoclu,2020-10-13 18:39:07.609000,39454.0,,,,,3.0,1437.0,,,,,,,,,,,,,,,,,,,,,,\n738,skggm,skggm/skggm,,sklearn-utils,https://github.com/skggm/skggm,https://github.com/skggm/skggm,MIT,2016-06-11 18:35:56.000000,2020-12-24 08:36:00.000000,2020-12-24 05:43:15.000000,31,27.0,47.0,174,691.0,Scikit-learn compatible estimation of general graphical models.,5.0,17,True,2018-09-12 01:12:49.000000,0.2.8,6.0,skggm,,,,['sklearn'],7.0,6.0,https://pypi.org/project/skggm,2018-09-12 01:12:49.000000,1.0,100.0,100.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n739,ExplainX.ai,explainX/explainx,,interpretability,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15.000000,2021-01-07 22:35:16.000000,2021-01-07 22:35:16.000000,28,7.0,13.0,159,182.0,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,4.0,17,True,2020-10-23 17:30:47.000000,2.403,53.0,explainx,,,,,,,https://pypi.org/project/explainx,2020-12-07 22:26:30.000000,,432.0,432.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n740,BatchFlow,analysiscenter/batchflow,,data-pipelines,https://github.com/analysiscenter/batchflow,https://github.com/analysiscenter/batchflow,Apache-2.0,2017-03-13 14:22:53.000000,2021-01-21 15:35:39.000000,2021-01-20 13:36:16.000000,33,52.0,53.0,153,4305.0,BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and..,28.0,17,True,2019-08-23 12:21:50.000000,0.3.0,3.0,batchflow,,,,,,,https://pypi.org/project/batchflow,2019-08-23 12:21:50.000000,,13.0,13.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n741,elegy,poets-ai/elegy,,ml-frameworks,https://github.com/poets-ai/elegy,https://github.com/poets-ai/elegy,Apache-2.0,2020-06-30 14:00:37.000000,2021-01-20 23:55:00.000000,2021-01-19 04:40:08.000000,10,15.0,34.0,151,256.0,Elegy is a Neural Networks framework based on Jax and inspired by Keras.,12.0,17,True,2020-12-17 15:44:27.000000,0.3.0,15.0,elegy,,,,\"['tensorflow', 'jax']\",,,https://pypi.org/project/elegy,2020-12-17 15:41:58.000000,,186.0,186.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n742,Larq Compute Engine,larq/compute-engine,,model-serialisation,https://github.com/larq/compute-engine,https://github.com/larq/compute-engine,Apache-2.0,2019-08-29 15:02:43.000000,2021-01-18 19:05:09.000000,2021-01-13 09:48:36.000000,21,21.0,88.0,125,441.0,Highly optimized inference engine for Binarized Neural Networks.,14.0,17,False,2020-09-21 13:31:57.000000,0.4.3,11.0,larq-compute-engine,,,,,1.0,1.0,https://pypi.org/project/larq-compute-engine,2020-09-21 17:41:53.000000,,154.0,166.0,,,,,,,,3.0,142.0,,,,,,,,,,,,2.0,,,,,,,,,,\n743,celer,mathurinm/celer,,sklearn-utils,https://github.com/mathurinm/celer,https://github.com/mathurinm/celer,BSD-3-Clause,2018-02-20 19:37:31.000000,2021-01-21 15:50:17.000000,2021-01-20 10:47:02.000000,19,14.0,49.0,105,208.0,\"Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.\",9.0,17,False,2020-10-12 12:26:09.000000,0.5.1,9.0,celer,,,,['sklearn'],4.0,4.0,https://pypi.org/project/celer,2020-10-12 11:56:43.000000,,162.0,162.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n744,nvidia-ml-py3,nicolargo/nvidia-ml-py3,,gpu-utilities,https://github.com/nicolargo/nvidia-ml-py3,https://github.com/nicolargo/nvidia-ml-py3,BSD-3-Clause,2017-06-03 07:47:03.000000,2019-03-06 20:41:10.000000,2019-03-06 20:41:09.000000,13,2.0,,61,5.0,Python 3 Bindings for the NVIDIA Management Library.,2.0,17,False,,,1.0,nvidia-ml-py3,,,,,2519.0,2507.0,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46.000000,12.0,325998.0,325998.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n745,ReAgent,facebookresearch/ReAgent,,reinforcement-learning,https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000000,2021-01-20 20:31:43.000000,2021-01-20 20:30:42.000000,372,20.0,74.0,2759,1066.0,\"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).\",86.0,16,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n746,LIT,PAIR-code/lit,,interpretability,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000000,2021-01-21 00:23:19.000000,2020-11-17 00:43:10.000000,228,27.0,27.0,2348,,The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and..,10.0,16,True,2020-11-17 00:53:31.000000,0.2,4.0,lit-nlp,,,,,,,https://pypi.org/project/lit-nlp,2020-11-17 00:52:37.000000,,132.0,132.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n747,Xcessiv,reiinakano/xcessiv,,hyperopt,https://github.com/reiinakano/xcessiv,https://github.com/reiinakano/xcessiv,Apache-2.0,2017-03-07 18:18:25.000000,2018-06-06 22:23:37.000000,2017-08-21 00:51:15.000000,109,22.0,13.0,1258,316.0,\"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.\",6.0,16,False,2017-08-21 00:53:25.000000,0.5.1,34.0,xcessiv,,,,,2.0,1.0,https://pypi.org/project/xcessiv,2017-08-21 00:49:41.000000,1.0,33.0,33.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n748,Botflow,kkyon/botflow,,data-pipelines,https://github.com/kkyon/botflow,https://github.com/kkyon/botflow,BSD-3-Clause,2018-08-20 03:13:31.000000,2020-12-31 09:03:22.000000,2019-05-23 14:40:50.000000,98,2.0,2.0,1154,192.0,\"Python Fast Dataflow programming framework for Data pipeline work( Web Crawler,Machine Learning,Quantitative..\",11.0,16,False,,,5.0,botflow,,,,,1.0,1.0,https://pypi.org/project/botflow,2018-09-14 14:38:32.000000,,23.0,23.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n749,AdvBox,advboxes/AdvBox,,adversarial,https://github.com/advboxes/AdvBox,https://github.com/advboxes/AdvBox,Apache-2.0,2018-08-08 08:55:41.000000,2020-11-13 17:59:22.000000,2020-08-26 22:59:41.000000,221,6.0,26.0,1028,374.0,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,19.0,16,True,2018-12-05 02:48:50.000000,0.4.1,2.0,advbox,,,,,,,https://pypi.org/project/advbox,2018-12-05 02:48:50.000000,,20.0,20.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n750,sklearn-porter,nok/sklearn-porter,,model-serialisation,https://github.com/nok/sklearn-porter,https://github.com/nok/sklearn-porter,MIT,2016-06-22 22:21:34.000000,2020-10-19 07:28:00.000000,2019-12-18 13:31:50.000000,122,39.0,29.0,948,699.0,\"Transpile trained scikit-learn estimators to C, Java, JavaScript and others.\",11.0,16,False,2019-12-18 13:39:19.000000,0.7.4,20.0,sklearn-porter,,,,['sklearn'],1.0,,https://pypi.org/project/sklearn-porter,2019-12-18 13:39:19.000000,1.0,338.0,338.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n751,CrypTen,facebookresearch/CrypTen,,privacy-ml,https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000000,2021-01-20 14:57:05.000000,2021-01-20 14:56:16.000000,90,15.0,31.0,694,228.0,A framework for Privacy Preserving Machine Learning.,23.0,16,True,2020-04-21 13:59:37.000000,0.1,1.0,crypten,,,,['pytorch'],5.0,5.0,https://pypi.org/project/crypten,2020-02-05 18:53:03.000000,,68.0,68.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n752,Hivemind,learning-at-home/hivemind,,distributed-ml,https://github.com/learning-at-home/hivemind,https://github.com/learning-at-home/hivemind,MIT,2020-02-27 13:50:19.000000,2021-01-20 21:45:40.000000,2021-01-20 14:50:22.000000,30,15.0,17.0,640,295.0,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,8.0,16,True,2020-08-28 05:52:35.000000,0.8.2,5.0,hivemind,,,,,2.0,1.0,https://pypi.org/project/hivemind,2020-08-28 16:00:22.000000,1.0,11.0,11.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n753,HyperparameterHunter,HunterMcGushion/hyperparameter_hunter,,hyperopt,https://github.com/HunterMcGushion/hyperparameter_hunter,https://github.com/HunterMcGushion/hyperparameter_hunter,MIT,2018-06-01 23:17:00.000000,2021-01-20 03:52:41.000000,2021-01-20 03:52:40.000000,80,36.0,84.0,635,1096.0,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries.,4.0,16,True,2019-08-06 09:09:45.000000,3.0.0,16.0,hyperparameter-hunter,,,,,1.0,,https://pypi.org/project/hyperparameter-hunter,2019-08-06 06:01:58.000000,1.0,50.0,59.0,,,,,,,,3.0,267.0,,,,,,,,,,,,,,,,,,,,,,\n754,cuGraph,rapidsai/cugraph,,gpu-utilities,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000000,2021-01-21 04:41:44.000000,2021-01-20 18:01:37.000000,135,95.0,465.0,627,,cuGraph - RAPIDS Graph Analytics Library.,55.0,16,True,2020-12-10 21:54:44.000000,0.17.0,4.0,cugraph,,,,,0.0,,https://pypi.org/project/cugraph,2019-04-04 15:31:02.000000,0.0,32.0,32.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n755,Saliency,PAIR-code/saliency,,tensorflow-utils,https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35.000000,2020-10-15 21:38:20.000000,2020-10-01 22:54:59.000000,134,11.0,10.0,625,64.0,\"TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques.\",12.0,16,True,2019-09-26 17:59:23.000000,0.0.5,5.0,saliency,,,,['tensorflow'],13.0,13.0,https://pypi.org/project/saliency,2019-09-26 17:59:23.000000,,142.0,142.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n756,SpeedTorch,Santosh-Gupta/SpeedTorch,,gpu-utilities,https://github.com/Santosh-Gupta/SpeedTorch,https://github.com/Santosh-Gupta/SpeedTorch,MIT,2019-09-07 18:57:52.000000,2020-02-21 23:13:29.000000,2020-02-21 23:13:28.000000,36,3.0,2.0,594,170.0,Library for faster pinned CPU - GPU transfer in Pytorch.,3.0,16,True,2020-01-06 05:27:17.000000,0.1.6,14.0,SpeedTorch,,,,['pytorch'],5.0,3.0,https://pypi.org/project/SpeedTorch,2020-01-06 05:27:17.000000,2.0,65.0,65.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n757,ThunderGBM,Xtra-Computing/thundergbm,,ml-frameworks,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08.000000,2021-01-05 04:22:17.000000,2021-01-05 04:22:15.000000,71,20.0,26.0,577,606.0,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,10.0,16,True,2020-05-01 23:16:25.000000,0.3.16,24.0,thundergbm,,,,,,,https://pypi.org/project/thundergbm,2020-05-01 23:16:25.000000,,99.0,99.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n758,XAI,EthicalML/xai,,interpretability,https://github.com/EthicalML/xai,https://github.com/EthicalML/xai,MIT,2019-01-11 20:00:09.000000,2019-10-05 10:34:58.000000,2019-10-05 10:34:50.000000,82,4.0,3.0,562,83.0,XAI - An eXplainability toolbox for machine learning.,2.0,16,False,2019-01-13 21:24:01.000000,0.0.4,4.0,xai,,,,,16.0,10.0,https://pypi.org/project/xai,2019-01-13 21:24:01.000000,6.0,507.0,507.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n759,AlphaPy,ScottfreeLLC/AlphaPy,,hyperopt,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32.000000,2020-09-06 12:58:26.000000,2020-09-06 12:58:25.000000,114,10.0,29.0,540,407.0,\"Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost.\",3.0,16,True,2020-08-29 18:48:20.000000,2.5.0,24.0,alphapy,,,,,2.0,2.0,https://pypi.org/project/alphapy,2020-08-25 23:33:42.000000,,85.0,85.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n760,Auto Tune Models,HDI-Project/ATM,,hyperopt,https://github.com/HDI-Project/ATM,https://github.com/HDI-Project/ATM,MIT,2016-10-14 18:03:00.000000,2020-02-21 17:44:07.000000,2020-02-21 17:40:58.000000,122,17.0,71.0,503,775.0,\"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).\",16.0,16,True,2019-07-30 09:28:26.000000,0.2.2,13.0,atm,,,,,6.0,6.0,https://pypi.org/project/atm,2019-06-24 13:31:28.000000,,39.0,39.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n761,Tensor Sensor,parrt/tensor-sensor,,pytorch-utils,https://github.com/parrt/tensor-sensor,https://github.com/parrt/tensor-sensor,MIT,2020-08-28 22:54:04.000000,2021-01-07 00:40:37.000000,2021-01-07 00:40:31.000000,24,4.0,12.0,501,155.0,The goal of this library is to generate more helpful exception messages for numpy/pytorch matrix algebra expressions.,2.0,16,True,2020-12-03 20:46:15.000000,0.1.1,33.0,tensor-sensor,,,,['pytorch'],1.0,1.0,https://pypi.org/project/tensor-sensor,2020-12-03 20:40:56.000000,,212.0,212.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n762,Performer Pytorch,lucidrains/performer-pytorch,,pytorch-utils,https://github.com/lucidrains/performer-pytorch,https://github.com/lucidrains/performer-pytorch,MIT,2020-10-03 03:41:36.000000,2021-01-17 01:23:12.000000,2021-01-17 01:22:36.000000,60,17.0,32.0,469,,\"An implementation of Performer, a linear attention-based transformer, in Pytorch.\",4.0,16,True,2021-01-17 01:23:12.000000,0.15.0,61.0,performer-pytorch,,,,['pytorch'],8.0,8.0,https://pypi.org/project/performer-pytorch,2021-01-17 01:23:12.000000,,687.0,687.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n763,tcav,tensorflow/tcav,,interpretability,https://github.com/tensorflow/tcav,https://github.com/tensorflow/tcav,Apache-2.0,2018-07-03 17:45:35.000000,2021-01-11 22:12:58.000000,2020-07-14 17:14:43.000000,97,2.0,40.0,428,144.0,Code for the TCAV ML interpretability project.,16.0,16,True,2019-06-10 18:29:51.000000,0.2.1,3.0,tcav,,,,['tensorflow'],7.0,6.0,https://pypi.org/project/tcav,2019-06-10 18:29:51.000000,1.0,39.0,39.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n764,OpenRec,ylongqi/openrec,,recommender-systems,https://github.com/ylongqi/openrec,https://github.com/ylongqi/openrec,Apache-2.0,2017-11-29 16:04:40.000000,2020-11-13 17:47:17.000000,2020-02-19 07:57:17.000000,79,4.0,12.0,351,213.0,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms.,10.0,16,True,2018-11-13 17:55:55.000000,0.2.5,11.0,openrec,,,,,2.0,1.0,https://pypi.org/project/openrec,2019-09-11 20:21:21.000000,1.0,27.0,27.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n765,tfdeploy,riga/tfdeploy,,model-serialisation,https://github.com/riga/tfdeploy,https://github.com/riga/tfdeploy,BSD-3-Clause,2016-03-07 13:08:21.000000,2021-01-08 09:52:54.000000,2021-01-08 09:52:49.000000,38,10.0,23.0,346,170.0,Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.,4.0,16,True,2017-03-30 10:51:26.000000,0.4.2,22.0,tfdeploy,,,,['tensorflow'],2.0,,https://pypi.org/project/tfdeploy,2017-03-30 10:51:26.000000,2.0,43.0,43.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n766,pdvega,altair-viz/pdvega,,data-viz,https://github.com/altair-viz/pdvega,https://github.com/altair-viz/pdvega,MIT,2018-01-11 21:30:27.000000,2019-03-29 16:09:14.000000,2019-03-29 16:09:13.000000,28,16.0,10.0,339,177.0,Interactive plotting for Pandas using Vega-Lite.,9.0,16,False,,,1.0,pdvega,,,,,49.0,47.0,https://pypi.org/project/pdvega,2018-02-01 04:56:43.000000,2.0,78.0,78.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n767,datmo,datmo/datmo,,ml-experiments,https://github.com/datmo/datmo,https://github.com/datmo/datmo,MIT,2017-11-03 05:46:43.000000,2019-11-29 00:48:45.000000,2019-11-29 00:48:44.000000,28,42.0,149.0,333,1051.0,Open source production model management tool for data scientists.,6.0,16,False,2018-12-07 06:01:12.000000,0.0.40,41.0,datmo,,,,,5.0,5.0,https://pypi.org/project/datmo,2018-12-07 06:16:42.000000,,49.0,49.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n768,pytorch_geometric_temporal,benedekrozemberczki/pytorch_geometric_temporal,,graph,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,MIT,2020-06-27 01:11:33.000000,2021-01-14 18:53:52.000000,2021-01-14 18:46:30.000000,31,1.0,15.0,314,794.0,A Temporal Extension Library for PyTorch Geometric.,3.0,16,True,2021-01-14 18:53:52.000000,_00012,12.0,torch-geometric-temporal,,,,['pytorch'],,,https://pypi.org/project/torch-geometric-temporal,2021-01-14 18:50:08.000000,,108.0,108.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n769,Case Recommender,caserec/CaseRecommender,,recommender-systems,https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39.000000,2020-05-26 22:44:05.000000,2020-05-26 22:44:05.000000,66,6.0,16.0,310,201.0,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems.,10.0,16,True,2019-08-20 13:38:02.000000,1.1.0,40.0,caserecommender,,,,['sklearn'],5.0,5.0,https://pypi.org/project/caserecommender,2019-08-20 13:42:28.000000,,39.0,39.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n770,Pywick,achaiah/pywick,,pytorch-utils,https://github.com/achaiah/pywick,https://github.com/achaiah/pywick,MIT,2019-03-25 15:42:47.000000,2020-11-17 16:44:11.000000,2020-09-24 19:20:06.000000,35,2.0,9.0,310,109.0,High-level batteries-included neural network training library for Pytorch.,4.0,16,True,2020-01-20 22:14:21.000000,0.5.6,6.0,pywick,,,,['pytorch'],2.0,2.0,https://pypi.org/project/pywick,2020-01-20 22:14:21.000000,,180.0,180.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n771,VizSeq,facebookresearch/vizseq,,nlp,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38.000000,2020-12-13 18:55:58.000000,2020-12-13 18:55:54.000000,39,7.0,8.0,307,43.0,\"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).\",3.0,16,True,2020-08-07 01:13:52.000000,0.1.15,16.0,vizseq,,,,,1.0,1.0,https://pypi.org/project/vizseq,2020-08-07 01:13:52.000000,,51.0,51.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n772,LOFO,aerdem4/lofo-importance,,interpretability,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46.000000,2020-07-02 11:49:54.000000,2020-07-02 11:49:52.000000,40,1.0,10.0,292,24.0,Leave One Feature Out Importance.,3.0,16,True,2020-07-02 11:44:57.000000,0.2.6,9.0,lofo-importance,,,,,3.0,3.0,https://pypi.org/project/lofo-importance,2020-07-02 11:44:57.000000,,191.0,191.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n773,Vulkan Kompute,EthicalML/vulkan-kompute,,gpu-utilities,https://github.com/EthicalML/vulkan-kompute,https://github.com/EthicalML/vulkan-kompute,Apache-2.0,2020-07-29 05:23:33.000000,2021-01-18 18:49:36.000000,2021-01-18 18:49:35.000000,17,42.0,44.0,286,499.0,\"General purpose GPU compute framework for cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast,..\",9.0,16,True,2020-11-14 08:59:29.000000,0.5.1,9.0,kp,,,,,1.0,1.0,https://pypi.org/project/kp,2020-11-11 19:39:35.000000,,103.0,108.0,,,,,,,,3.0,29.0,,,,,,,,True,,,,,,,,,,,,,,\n774,Muda,bmcfee/muda,,audio,https://github.com/bmcfee/muda,https://github.com/bmcfee/muda,ISC,2014-11-07 21:21:22.000000,2020-09-01 19:21:10.000000,2020-07-20 20:00:17.000000,30,5.0,44.0,172,291.0,A library for augmenting annotated audio data.,6.0,16,True,2019-11-15 15:46:21.000000,0.4.1,11.0,muda,,,,,9.0,8.0,https://pypi.org/project/muda,2019-11-15 15:46:21.000000,1.0,60.0,60.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n775,model-card-toolkit,tensorflow/model-card-toolkit,,interpretability,https://github.com/tensorflow/model-card-toolkit,https://github.com/tensorflow/model-card-toolkit,Apache-2.0,2020-07-24 16:48:58.000000,2021-01-21 00:13:54.000000,2021-01-21 00:13:23.000000,22,,2.0,154,80.0,a tool that leverages rich metadata and lineage information in MLMD to build a model card.,7.0,16,True,2020-10-16 19:26:46.000000,0.1.1,2.0,model-card-toolkit,,,,,1.0,1.0,https://pypi.org/project/model-card-toolkit,2020-10-16 19:26:46.000000,,75.0,75.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n776,imodels,csinva/imodels,,interpretability,https://github.com/csinva/imodels,https://github.com/csinva/imodels,MIT,2019-07-04 15:38:48.000000,2021-01-19 19:00:59.000000,2021-01-19 19:00:58.000000,14,,8.0,145,181.0,\"Interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible).\",3.0,16,False,2021-01-05 20:25:35.000000,0.2.6,6.0,imodels,,,,,6.0,6.0,https://pypi.org/project/imodels,2020-12-30 00:06:42.000000,,71.0,71.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n777,ipyexperiments,stas00/ipyexperiments,,gpu-utilities,https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40.000000,2021-01-20 19:36:46.000000,2021-01-20 19:36:41.000000,9,,4.0,123,180.0,jupyter/ipython experiment containers for GPU and general RAM re-use.,3.0,16,False,2020-11-16 07:08:34.000000,0.1.22,21.0,ipyexperiments,,,,['jupyter'],4.0,2.0,https://pypi.org/project/ipyexperiments,2020-11-17 04:10:43.000000,2.0,71.0,71.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n778,dabl,amueller/dabl,,sklearn-utils,https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49.000000,2021-01-11 23:09:14.000000,2020-07-08 16:14:41.000000,7,1.0,,62,252.0,Data Analysis Baseline Library.,18.0,16,False,2020-02-04 18:25:16.000000,0.1.9,10.0,dabl,,,,['sklearn'],,,https://pypi.org/project/dabl,2020-09-25 18:14:54.000000,,1954.0,1954.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n779,tinygrad,geohot/tinygrad,,pytorch-utils,https://github.com/geohot/tinygrad,https://github.com/geohot/tinygrad,MIT,2020-10-18 16:23:12.000000,2021-01-10 03:42:09.000000,2021-01-05 15:56:17.000000,439,13.0,61.0,4014,509.0,You like pytorch? You like micrograd? You love tinygrad!.,42.0,15,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n780,automl-gs,minimaxir/automl-gs,,hyperopt,https://github.com/minimaxir/automl-gs,https://github.com/minimaxir/automl-gs,MIT,2019-01-13 18:57:44.000000,2019-10-22 11:20:40.000000,2019-04-05 06:48:14.000000,157,26.0,6.0,1711,102.0,\"Provide an input CSV and a target field to predict, generate a model + code to run it.\",7.0,15,False,2019-04-05 06:51:04.000000,0.2.1,2.0,automl_gs,,,,,,,https://pypi.org/project/automl_gs,2019-04-05 06:47:54.000000,,19.0,19.0,,,,,,,,3.0,20.0,,,,,,,,,,,,,,,,,,,,,,\n781,aim,aimhubio/aim,,ml-experiments,https://github.com/aimhubio/aim,https://github.com/aimhubio/aim,Apache-2.0,2019-05-31 18:25:07.000000,2021-01-13 14:48:29.000000,2021-01-13 14:48:27.000000,46,16.0,25.0,806,,\"Aim a super-easy way to record, search and compare 1000s of ML training runs.\",8.0,15,True,2019-11-06 08:06:11.000000,3.1.0,41.0,aim,,,,,2.0,,https://pypi.org/project/aim,2021-01-07 09:21:55.000000,2.0,857.0,857.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n782,MedicalTorch,perone/medicaltorch,,medical-data,https://github.com/perone/medicaltorch,https://github.com/perone/medicaltorch,Apache-2.0,2018-02-27 02:50:07.000000,2020-09-30 13:21:57.000000,2019-08-15 10:03:51.000000,106,14.0,9.0,705,55.0,A medical imaging framework for Pytorch.,7.0,15,False,2018-11-24 00:33:11.000000,0.2,2.0,medicaltorch,,,,['pytorch'],9.0,9.0,https://pypi.org/project/medicaltorch,2018-11-24 00:29:36.000000,,172.0,172.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n783,Translate,pytorch/translate,,nlp,https://github.com/pytorch/translate,https://github.com/pytorch/translate,BSD-3-Clause,2018-04-24 16:44:04.000000,2020-12-29 05:05:10.000000,2020-12-29 05:05:03.000000,158,66.0,27.0,674,803.0,Translate - a PyTorch Language Library.,84.0,15,True,,,1.0,pytorch-translate,,,,['pytorch'],,,https://pypi.org/project/pytorch-translate,2018-05-01 19:59:40.000000,,3.0,3.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n784,torchsde,google-research/torchsde,,pytorch-utils,https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11.000000,2021-01-05 18:30:53.000000,2021-01-05 12:06:21.000000,55,6.0,26.0,632,140.0,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,4.0,15,True,2021-01-05 18:31:38.000000,0.2.4,4.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n785,FlashTorch,MisaOgura/flashtorch,,interpretability,https://github.com/MisaOgura/flashtorch,https://github.com/MisaOgura/flashtorch,MIT,2019-03-22 13:00:57.000000,2020-12-14 23:09:26.000000,2020-05-29 14:37:29.000000,66,6.0,21.0,528,126.0,Visualization toolkit for neural networks in PyTorch! Demo --.,2.0,15,True,2020-05-29 14:39:38.000000,0.1.3,12.0,flashtorch,,,,['pytorch'],6.0,6.0,https://pypi.org/project/flashtorch,2020-05-29 14:38:32.000000,,144.0,144.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n786,PandaPy,firmai/pandapy,,data-containers,https://github.com/firmai/pandapy,https://github.com/firmai/pandapy,MIT,2020-01-15 18:21:23.000000,2020-11-12 16:18:45.000000,2020-11-12 16:18:44.000000,44,2.0,1.0,470,83.0,PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai).,3.0,15,True,2020-11-12 16:12:54.000000,zen,22.0,pandapy,,,,['pandas'],1.0,1.0,https://pypi.org/project/pandapy,2020-01-25 23:10:32.000000,,57.0,57.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n787,cuSignal,rapidsai/cusignal,,gpu-utilities,https://github.com/rapidsai/cusignal,https://github.com/rapidsai/cusignal,Apache-2.0,2019-08-22 14:27:27.000000,2021-01-19 21:07:29.000000,2021-01-19 21:07:28.000000,57,17.0,81.0,436,,GPU accelerated signal processing.,28.0,15,True,2020-12-10 21:29:50.000000,0.17.0,3.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n788,zenml,maiot-io/zenml,,data-pipelines,https://github.com/maiot-io/zenml,https://github.com/maiot-io/zenml,Apache-2.0,2020-11-19 09:25:46.000000,2021-01-21 14:08:17.000000,2021-01-21 14:08:16.000000,24,1.0,3.0,401,,ZenML: Bring Zen to your ML with reproducible pipelines.,7.0,15,True,2021-01-19 20:45:45.000000,0.1.5,9.0,zenml,,,,,1.0,1.0,https://pypi.org/project/zenml,2021-01-19 15:18:12.000000,,216.0,216.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n789,Headliner,as-ideas/headliner,,nlp,https://github.com/as-ideas/headliner,https://github.com/as-ideas/headliner,MIT,2019-09-30 11:33:28.000000,2020-02-14 09:07:46.000000,2020-02-14 09:03:27.000000,37,1.0,13.0,219,276.0,Easy training and deployment of seq2seq models.,2.0,15,True,2020-01-24 09:06:29.000000,1.0.2,30.0,headliner,,,,,4.0,3.0,https://pypi.org/project/headliner,2020-01-24 09:06:29.000000,1.0,106.0,106.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n790,Parfit,jmcarpenter2/parfit,,hyperopt,https://github.com/jmcarpenter2/parfit,https://github.com/jmcarpenter2/parfit,MIT,2017-11-22 20:17:51.000000,2020-04-04 19:26:44.000000,2020-04-04 19:26:37.000000,25,5.0,5.0,198,127.0,\"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..\",2.0,15,True,,,23.0,parfit,,,,['sklearn'],7.0,7.0,https://pypi.org/project/parfit,2018-10-11 22:03:16.000000,,3949.0,3949.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n791,NeuralQA,victordibia/neuralqa,,nlp,https://github.com/victordibia/neuralqa,https://github.com/victordibia/neuralqa,MIT,2020-05-19 03:55:56.000000,2020-12-16 17:42:12.000000,2020-12-16 17:41:37.000000,23,18.0,8.0,182,312.0,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,3.0,15,True,,,26.0,neuralqa,,,,,2.0,2.0,https://pypi.org/project/neuralqa,2020-07-29 16:39:37.000000,,38.0,38.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n792,steppy,minerva-ml/steppy,,ml-experiments,https://github.com/minerva-ml/steppy,https://github.com/minerva-ml/steppy,MIT,2018-01-15 09:40:49.000000,2018-11-23 09:49:59.000000,2018-11-23 09:47:34.000000,31,16.0,50.0,126,69.0,\"Lightweight, Python library for fast and reproducible experimentation.\",5.0,15,False,2018-11-23 09:49:59.000000,0.1.16,16.0,steppy,,,,,41.0,36.0,https://pypi.org/project/steppy,2018-11-23 09:49:59.000000,5.0,31.0,31.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n793,pyRDF2Vec,IBCNServices/pyRDF2Vec,,graph,https://github.com/IBCNServices/pyRDF2Vec,https://github.com/IBCNServices/pyRDF2Vec,MIT,2019-06-13 11:36:12.000000,2021-01-19 17:27:34.000000,2021-01-19 17:26:05.000000,13,6.0,19.0,79,662.0,Python Implementation and Extension of RDF2Vec.,5.0,15,False,2020-11-02 15:07:48.000000,0.1.1,7.0,pyrdf2vec,,,,,,,https://pypi.org/project/pyrdf2vec,2020-11-02 15:05:32.000000,,64.0,64.0,,,,,,,,3.0,,,,,,,,,True,,,,,,,,,,,,,,\n794,DE⫶TR,facebookresearch/detr,,image,https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52.000000,2021-01-16 14:33:22.000000,2020-11-15 16:03:45.000000,868,56.0,207.0,5962,41.0,End-to-End Object Detection with Transformers.,19.0,14,True,2020-06-29 16:41:01.000000,0.2,1.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n795,PySlowFast,facebookresearch/SlowFast,,image,https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26.000000,2021-01-18 18:29:25.000000,2021-01-07 19:07:27.000000,619,156.0,183.0,3278,97.0,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,19.0,14,True,,,,,,,,['pytorch'],2.0,2.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n796,OpenNRE,thunlp/OpenNRE,,nlp,https://github.com/thunlp/OpenNRE,https://github.com/thunlp/OpenNRE,MIT,2017-02-26 07:37:12.000000,2021-01-15 02:29:36.000000,2020-11-24 06:37:04.000000,830,18.0,285.0,2948,135.0,An Open-Source Package for Neural Relation Extraction (NRE).,9.0,14,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n797,Euler,alibaba/euler,,graph,https://github.com/alibaba/euler,https://github.com/alibaba/euler,Apache-2.0,2019-01-10 06:32:32.000000,2020-07-29 05:53:02.000000,2020-07-29 05:53:01.000000,501,200.0,97.0,2476,8.0,A distributed graph deep learning framework.,5.0,14,True,2020-07-07 02:24:18.000000,2.0.0,2.0,euler-gl,,,,['tensorflow'],,,https://pypi.org/project/euler-gl,2019-04-10 01:53:45.000000,,4.0,4.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n798,ENAS,carpedm20/ENAS-pytorch,,hyperopt,https://github.com/carpedm20/ENAS-pytorch,https://github.com/carpedm20/ENAS-pytorch,Apache-2.0,2018-02-15 04:54:37.000000,2020-12-09 18:13:03.000000,2020-06-16 07:23:32.000000,445,37.0,7.0,2373,53.0,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,6.0,14,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n799,GraphSAGE,williamleif/GraphSAGE,,graph,https://github.com/williamleif/GraphSAGE,https://github.com/williamleif/GraphSAGE,MIT,2017-05-29 15:36:22.000000,2020-11-13 17:49:54.000000,2018-09-19 19:27:00.000000,607,77.0,58.0,2125,59.0,Representation learning on large graphs using stochastic graph convolutions.,9.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n800,ZhuSuan,thu-ml/zhusuan,,probabilistics,https://github.com/thu-ml/zhusuan,https://github.com/thu-ml/zhusuan,MIT,2016-07-18 13:31:38.000000,2020-01-09 14:51:27.000000,2019-08-05 10:00:04.000000,376,8.0,53.0,2004,439.0,\"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.\",20.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n801,GraphEmbedding,shenweichen/GraphEmbedding,,graph,https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20.000000,2020-10-18 09:32:47.000000,2020-10-18 09:32:47.000000,545,27.0,13.0,1748,28.0,Implementation and experiments of graph embedding algorithms.,6.0,14,True,,,,,,,,['sklearn'],7.0,7.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n802,pycls,facebookresearch/pycls,,image,https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17.000000,2021-01-14 21:14:56.000000,2021-01-14 21:14:50.000000,149,10.0,44.0,1418,72.0,\"Codebase for Image Classification Research, written in PyTorch.\",9.0,14,True,2020-04-15 19:33:22.000000,0.1,1.0,,,,,['pytorch'],2.0,2.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n803,OpenNE,thunlp/OpenNE,,graph,https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20.000000,2020-11-30 14:02:23.000000,2019-08-12 10:56:27.000000,440,50.0,81.0,1396,98.0,An Open-Source Package for Network Embedding (NE).,10.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n804,Anchor,marcotcr/anchor,,interpretability,https://github.com/marcotcr/anchor,https://github.com/marcotcr/anchor,BSD-2-Clause,2018-02-02 23:38:50.000000,2020-09-10 17:49:26.000000,2020-09-10 17:48:28.000000,87,9.0,45.0,615,39.0,Code for High-Precision Model-Agnostic Explanations paper.,8.0,14,True,,,8.0,anchor_exp,,,,,,,https://pypi.org/project/anchor_exp,2020-06-26 20:56:50.000000,,439.0,439.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n805,AutoGL,THUMNLab/AutoGL,,graph,https://github.com/THUMNLab/AutoGL,https://github.com/THUMNLab/AutoGL,MIT,2020-11-30 14:26:22.000000,2021-01-17 09:12:44.000000,2020-12-29 10:32:05.000000,49,3.0,2.0,566,,An autoML framework & toolkit for machine learning on graphs.,4.0,14,True,2020-12-23 08:15:15.000000,0.1.1,2.0,auto-graph-learning,,,,['pytorch'],,,https://pypi.org/project/auto-graph-learning,2020-12-23 08:05:25.000000,,146.0,146.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n806,Tez,abhishekkrthakur/tez,,pytorch-utils,https://github.com/abhishekkrthakur/tez,https://github.com/abhishekkrthakur/tez,Apache-2.0,2020-11-13 10:19:22.000000,2021-01-15 11:04:11.000000,2021-01-15 11:04:10.000000,48,7.0,6.0,402,,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,1.0,14,True,2020-12-26 12:37:23.000000,0.0.8,7.0,tez,,,,['pytorch'],,,https://pypi.org/project/tez,2020-12-26 12:37:23.000000,,1053.0,1053.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n807,TransferNLP,feedly/transfer-nlp,,nlp,https://github.com/feedly/transfer-nlp,https://github.com/feedly/transfer-nlp,MIT,2019-03-12 20:00:31.000000,2020-05-28 19:00:02.000000,2020-05-28 17:31:53.000000,18,4.0,19.0,285,465.0,NLP library designed for reproducible experimentation management.,7.0,14,True,2020-05-28 19:00:02.000000,0.1.6,8.0,transfer-nlp,,,,['pytorch'],,,https://pypi.org/project/transfer-nlp,2020-05-28 19:00:02.000000,,42.0,42.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n808,textvec,textvec/textvec,,nlp,https://github.com/textvec/textvec,https://github.com/textvec/textvec,MIT,2018-04-12 14:03:53.000000,2020-12-03 14:23:11.000000,2020-12-03 14:23:04.000000,21,2.0,6.0,154,70.0,Text vectorization tool to outperform TFIDF for classification tasks.,5.0,14,True,2019-09-12 07:41:04.000000,2.0,4.0,textvec,,,,['sklearn'],2.0,2.0,https://pypi.org/project/textvec,2020-12-03 14:17:09.000000,,72.0,72.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n809,ModelChimp,ModelChimp/modelchimp,,ml-experiments,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03.000000,2021-01-20 04:55:34.000000,2021-01-15 13:54:13.000000,11,4.0,10.0,119,360.0,Experiment tracking for machine and deep learning projects.,3.0,14,False,2019-04-09 10:43:15.000000,0.4.0,37.0,modelchimp,,modelchimp/modelchimp-server,,,,,https://pypi.org/project/modelchimp,2019-04-09 10:41:20.000000,,57.0,81.0,,,,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,634.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n810,DeepNeuro,QTIM-Lab/DeepNeuro,,medical-data,https://github.com/QTIM-Lab/DeepNeuro,https://github.com/QTIM-Lab/DeepNeuro,MIT,2017-06-01 19:36:34.000000,2020-06-24 13:00:15.000000,2020-06-24 13:00:14.000000,29,25.0,16.0,99,285.0,A deep learning python package for neuroimaging data. Made by:.,6.0,14,False,2019-04-11 16:57:02.000000,0.2.2,5.0,deepneuro,,,,,1.0,1.0,https://pypi.org/project/deepneuro,2019-04-11 16:57:02.000000,,41.0,41.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n811,nptsne,biovault/nptsne,,data-viz,https://github.com/biovault/nptsne,https://github.com/biovault/nptsne,Apache-2.0,2019-06-28 08:40:25.000000,2020-11-16 13:56:05.000000,2020-11-13 16:38:47.000000,2,7.0,2.0,24,834.0,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,3.0,14,False,2020-09-10 23:54:14.000000,1.1.0,2.0,nptsne,,,,,2.0,2.0,https://pypi.org/project/nptsne,2020-09-10 23:54:14.000000,,97.0,97.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n812,StarSpace,facebookresearch/StarSpace,,ml-frameworks,https://github.com/facebookresearch/StarSpace,https://github.com/facebookresearch/StarSpace,MIT,2017-06-28 17:50:18.000000,2020-05-18 03:40:57.000000,2019-12-13 19:03:25.000000,475,46.0,146.0,3530,138.0,\"Learning embeddings for classification, retrieval and ranking.\",17.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n813,OpenKE,thunlp/OpenKE,,graph,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,MIT,2017-10-08 11:20:23.000000,2020-04-08 11:00:38.000000,2020-04-08 11:00:32.000000,736,49.0,222.0,2345,97.0,An Open-Source Package for Knowledge Embedding (KE).,10.0,13,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n814,micrograd,karpathy/micrograd,,pytorch-utils,https://github.com/karpathy/micrograd,https://github.com/karpathy/micrograd,MIT,2020-04-13 04:31:18.000000,2020-12-18 12:55:50.000000,2020-04-18 19:15:25.000000,111,2.0,3.0,1558,24.0,A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.,2.0,13,True,2020-04-18 19:06:59.000000,0.1.0,1.0,micrograd,,,,['pytorch'],,,https://pypi.org/project/micrograd,2020-04-18 19:06:59.000000,,18.0,18.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n815,Torch-Struct,harvardnlp/pytorch-struct,,pytorch-utils,https://github.com/harvardnlp/pytorch-struct,https://github.com/harvardnlp/pytorch-struct,MIT,2019-08-26 19:34:30.000000,2021-01-20 20:29:58.000000,2021-01-20 18:53:32.000000,69,13.0,22.0,880,259.0,\"Fast, general, and tested differentiable structured prediction in PyTorch.\",12.0,13,True,2019-11-25 04:08:05.000000,0.4,1.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n816,GraphVite,DeepGraphLearning/graphvite,,graph,https://github.com/DeepGraphLearning/graphvite,https://github.com/DeepGraphLearning/graphvite,Apache-2.0,2019-07-16 15:48:20.000000,2021-01-14 02:19:03.000000,2021-01-14 02:18:46.000000,115,25.0,53.0,835,15.0,GraphVite: A General and High-performance Graph Embedding System.,1.0,13,True,,,4.0,,milagraph/graphvite,,,,,,,,,,198.0,https://anaconda.org/milagraph/graphvite,2020-03-19 18:21:30.972000,3381.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n817,NeoML,neoml-lib/neoml,,ml-frameworks,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000000,2021-01-20 15:34:02.000000,2021-01-19 13:32:17.000000,79,16.0,13.0,555,185.0,Machine learning framework for both deep learning and traditional algorithms.,16.0,13,True,2020-06-14 17:44:03.000000,NeoML-master_1.0.1.0,1.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n818,Adversary,airbnb/artificial-adversary,,adversarial,https://github.com/airbnb/artificial-adversary,https://github.com/airbnb/artificial-adversary,MIT,2018-08-08 04:42:11.000000,2018-10-14 05:34:44.000000,2018-08-29 15:31:30.000000,47,7.0,,340,15.0,Tool to generate adversarial text examples and test machine learning models against them.,5.0,13,False,2018-08-29 15:14:41.000000,1.1.1,3.0,Adversary,,,,,6.0,6.0,https://pypi.org/project/Adversary,2018-08-29 15:14:41.000000,,10.0,10.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n819,Julius,adefossez/julius,,audio,https://github.com/adefossez/julius,https://github.com/adefossez/julius,MIT,2020-10-26 10:54:21.000000,2020-12-10 12:50:51.000000,2020-12-10 12:50:47.000000,6,,3.0,167,,Fast PyTorch based DSP for audio and 1D signals.,2.0,13,True,2020-11-25 18:04:38.000000,0.2.0,4.0,julius,,,,['pytorch'],2.0,2.0,https://pypi.org/project/julius,2020-11-25 18:04:38.000000,,178.0,178.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n820,nx-altair,Zsailer/nx_altair,,data-viz,https://github.com/Zsailer/nx_altair,https://github.com/Zsailer/nx_altair,MIT,2018-05-13 00:10:12.000000,2020-09-30 12:01:08.000000,2020-06-02 21:10:26.000000,19,4.0,4.0,155,51.0,Draw interactive NetworkX graphs with Altair.,3.0,13,True,2020-06-02 21:11:12.000000,0.1.6,8.0,nx-altair,,,,['jupyter'],2.0,,https://pypi.org/project/nx-altair,2020-06-02 21:11:12.000000,2.0,140.0,140.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n821,Auptimizer,LGE-ARC-AdvancedAI/auptimizer,,hyperopt,https://github.com/LGE-ARC-AdvancedAI/auptimizer,https://github.com/LGE-ARC-AdvancedAI/auptimizer,GPL-3.0,2019-09-12 01:08:37.000000,2020-12-04 01:00:53.000000,2020-12-04 00:51:11.000000,20,,4.0,155,68.0,An automatic ML model optimization tool.,11.0,13,False,2020-11-19 05:14:22.000000,1.4,6.0,auptimizer,,,,,,,https://pypi.org/project/auptimizer,2020-11-19 00:23:49.000000,,27.0,27.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n822,Hypermax,electricbrainio/hypermax,,hyperopt,https://github.com/electricbrainio/hypermax,https://github.com/electricbrainio/hypermax,BSD-3-Clause,2018-07-27 18:43:01.000000,2020-08-02 18:08:50.000000,2020-08-02 18:08:46.000000,15,3.0,1.0,95,207.0,\"Better, faster hyper-parameter optimization.\",9.0,13,False,2019-10-23 15:40:12.000000,0.5.1,11.0,hypermax,,,,,4.0,4.0,https://pypi.org/project/hypermax,2019-10-23 15:40:12.000000,,11.0,11.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n823,contextual-ai,SAP/contextual-ai,,interpretability,https://github.com/SAP/contextual-ai,https://github.com/SAP/contextual-ai,Apache-2.0,2020-05-12 07:15:56.000000,2021-01-06 08:59:25.000000,2021-01-05 07:52:16.000000,9,4.0,1.0,65,615.0,\"Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference -..\",10.0,13,False,2020-06-16 14:16:10.000000,0.0.1,1.0,contextual-ai,,,,,,,https://pypi.org/project/contextual-ai,2020-06-16 14:16:10.000000,,70.0,70.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n824,Medical Detection Toolkit,MIC-DKFZ/medicaldetectiontoolkit,,medical-data,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,Apache-2.0,2018-10-12 12:34:57.000000,2020-10-14 11:17:37.000000,2020-04-18 12:52:08.000000,233,27.0,85.0,897,36.0,\"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..\",3.0,12,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n825,LazyCluster,ml-tooling/lazycluster,,distributed-ml,https://github.com/ml-tooling/lazycluster,https://github.com/ml-tooling/lazycluster,Apache-2.0,2019-08-07 08:05:13.000000,2021-01-06 15:20:04.000000,2020-12-14 15:24:53.000000,5,,,33,,Distributed machine learning made simple.,2.0,12,False,2020-12-14 15:25:59.000000,0.2.4,5.0,lazycluster,,,,,2.0,2.0,https://pypi.org/project/lazycluster,2020-12-14 14:49:33.000000,,86.0,86.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n826,featurewiz,AutoViML/featurewiz,,hyperopt,https://github.com/AutoViML/featurewiz,https://github.com/AutoViML/featurewiz,Apache-2.0,2020-11-29 16:46:16.000000,2020-12-27 16:17:18.000000,2020-12-27 16:15:42.000000,9,,,17,,Use advanced feature engineering strategies and select the best features from your data set fast with a single line of..,,12,False,2020-12-27 16:17:18.000000,0.0.14,14.0,featurewiz,,,,,,,https://pypi.org/project/featurewiz,2020-12-27 16:17:18.000000,,400.0,400.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n827,surpriver,tradytics/surpriver,,financial-data,https://github.com/tradytics/surpriver,https://github.com/tradytics/surpriver,GPL-3.0,2020-08-30 07:56:22.000000,2020-11-13 00:48:16.000000,2020-09-21 04:32:05.000000,191,7.0,4.0,1049,64.0,Find big moving stocks before they move using machine learning and anomaly detection.,6.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n828,MedicalNet,Tencent/MedicalNet,,medical-data,https://github.com/Tencent/MedicalNet,https://github.com/Tencent/MedicalNet,MIT,2019-07-17 09:53:10.000000,2020-08-27 13:37:27.000000,2020-08-27 13:37:26.000000,279,42.0,14.0,1043,26.0,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,1.0,11,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n829,Devol,joeddav/devol,,hyperopt,https://github.com/joeddav/devol,https://github.com/joeddav/devol,MIT,2017-02-10 03:07:54.000000,2020-07-05 21:56:59.000000,2020-07-05 21:56:58.000000,109,7.0,20.0,924,116.0,Genetic neural architecture search with Keras.,18.0,11,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n830,PySparNN,facebookresearch/pysparnn,,nn-search,https://github.com/facebookresearch/pysparnn,https://github.com/facebookresearch/pysparnn,BSD-3-Clause,2016-03-28 20:43:42.000000,2020-10-02 06:01:01.000000,2018-01-31 16:50:23.000000,142,11.0,14.0,844,147.0,Approximate Nearest Neighbor Search for Sparse Data in Python!.,5.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n831,ONNX-T5,abelriboulot/onnxt5,,nlp,https://github.com/abelriboulot/onnxt5,https://github.com/abelriboulot/onnxt5,Apache-2.0,2020-08-01 09:38:35.000000,2020-09-02 11:27:43.000000,2020-09-02 11:27:37.000000,17,3.0,6.0,134,68.0,\"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..\",2.0,11,False,2020-08-15 15:25:00.000000,0.1.6,10.0,onnxt5,,,,,,,https://pypi.org/project/onnxt5,2020-09-02 11:22:09.000000,,117.0,117.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n832,Attribution Priors,suinleelab/attributionpriors,,interpretability,https://github.com/suinleelab/attributionpriors,https://github.com/suinleelab/attributionpriors,MIT,2019-06-24 23:54:24.000000,2020-09-12 05:57:02.000000,2020-09-12 05:56:51.000000,3,1.0,3.0,71,64.0,Tools for training explainable models using attribution priors.,6.0,11,False,2019-07-18 21:13:37.000000,0.1.3,4.0,attributionpriors,,,,\"['tensorflow', 'pytorch']\",,,https://pypi.org/project/attributionpriors,2019-10-31 18:03:05.000000,,7.0,7.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n833,traingenerator,jrieke/traingenerator,,others,https://github.com/jrieke/traingenerator,https://github.com/jrieke/traingenerator,MIT,2020-12-03 16:47:16.000000,2021-01-20 23:05:12.000000,2021-01-20 23:05:06.000000,109,10.0,1.0,887,,A web app to generate template code for machine learning.,3.0,10,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n834,Hypertunity,gdikov/hypertunity,,hyperopt,https://github.com/gdikov/hypertunity,https://github.com/gdikov/hypertunity,Apache-2.0,2019-06-02 12:04:55.000000,2020-01-26 23:14:49.000000,2020-01-26 22:53:29.000000,9,,2.0,119,64.0,A toolset for black-box hyperparameter optimisation.,2.0,10,False,2020-01-26 23:08:16.000000,1.0.1,7.0,hypertunity,,,,,2.0,2.0,https://pypi.org/project/hypertunity,2020-01-26 23:08:16.000000,,9.0,9.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n835,traintool,jrieke/traintool,,ml-experiments,https://github.com/jrieke/traintool,https://github.com/jrieke/traintool,Apache-2.0,2020-09-30 22:23:05.000000,2020-11-18 02:51:43.000000,2020-11-18 02:50:52.000000,1,,,9,120.0,Train off-the-shelf machine learning models in one line of code.,,10,False,2020-11-02 02:25:32.000000,0.0.3,3.0,traintool,,,,\"['pytorch', 'tensorflow', 'sklearn']\",,,https://pypi.org/project/traintool,2020-11-02 02:25:32.000000,,17.0,17.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n"
  },
  {
    "path": "history/2021-01-28_changes.md",
    "content": "## 📈 Trending Up\n\n_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._\n\n- <b><a href=\"https://github.com/allenai/allennlp\">AllenNLP</a></b> (🥇32 ·  ⭐ 9.6K · 📈) - An open-source NLP research library, built on PyTorch. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/geopandas/geopandas\">GeoPandas</a></b> (🥈31 ·  ⭐ 2.4K · 📈) - Python tools for geographic data. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1S\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/snowballstem/snowball\">snowballstemmer</a></b> (🥇30 ·  ⭐ 470 · 📈) - Snowball compiler and stemming algorithms. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/fishtown-analytics/dbt\">dbt</a></b> (🥈29 ·  ⭐ 2.4K · 📈) - dbt (data build tool) enables data analysts and engineers to.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/pyro-ppl/pyro\">Pyro</a></b> (🥈28 ·  ⭐ 6.7K · 📈) - Deep universal probabilistic programming with Python and PyTorch. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/robinhood/faust\">faust</a></b> (🥈28 ·  ⭐ 5.2K · 📈) - Python Stream Processing. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/stanfordnlp/stanza\">stanza</a></b> (🥈28 ·  ⭐ 5.1K · 📈) - Official Stanford NLP Python Library for Many Human Languages. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/cleverhans-lab/cleverhans\">CleverHans</a></b> (🥇27 ·  ⭐ 4.9K · 📈) - An adversarial example library for constructing attacks,.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/SAP/contextual-ai\">contextual-ai</a></b> (🥉15 ·  ⭐ 66 · 📈) - Contextual AI adds explainability to different stages of.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/abelriboulot/onnxt5\">ONNX-T5</a></b> (🥉13 ·  ⭐ 140 · 🐣) - Summarization, translation, sentiment-analysis, text-generation.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n\n## 📉 Trending Down\n\n_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._\n\n- <b><a href=\"https://github.com/scikit-learn/scikit-learn\">scikit-learn</a></b> (🥇37 ·  ⭐ 44K · 📉) - scikit-learn: machine learning in Python. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/davisking/dlib\">dlib</a></b> (🥈32 ·  ⭐ 9.8K · 📉) - A toolkit for making real world machine learning and data analysis.. <code><a href=\"https://tldrlegal.com/search?q=BSL-1.0\">❗️BSL-1.0</a></code>\n- <b><a href=\"https://github.com/RasaHQ/rasa\">Rasa</a></b> (🥈28 ·  ⭐ 11K · 📉) - Open source machine learning framework to automate text- and.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/mne-tools/mne-python\">MNE</a></b> (🥈27 ·  ⭐ 1.5K · 📉) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/mozilla/DeepSpeech\">DeepSpeech</a></b> (🥈25 ·  ⭐ 16K · 📉) - DeepSpeech is an open source embedded (offline, on-.. <code><a href=\"http://bit.ly/3postzC\">MPL-2.0</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/tslearn-team/tslearn\">tslearn</a></b> (🥈25 ·  ⭐ 1.5K · 📉) - A machine learning toolkit dedicated to time-series data. <code><a href=\"http://bit.ly/3rqEWVr\">BSD-2</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/arviz-devs/arviz\">arviz</a></b> (🥈25 ·  ⭐ 940 · 📉) - Exploratory analysis of Bayesian models with Python. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/tensorly/tensorly\">tensorly</a></b> (🥉21 ·  ⭐ 950 · 📉) - TensorLy: Tensor Learning in Python. <code><a href=\"http://bit.ly/3rqEWVr\">BSD-2</a></code>\n- <b><a href=\"https://github.com/TDAmeritrade/stumpy\">STUMPY</a></b> (🥉20 ·  ⭐ 1.6K · 📉) - STUMPY is a powerful and scalable Python library for computing a.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/m3dev/gokart\">gokart</a></b> (🥉19 ·  ⭐ 160 · 📉) - A wrapper of the data pipeline library luigi. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n\n## ➕ Added Projects\n\n_Projects that were recently added to this best-of list._\n\n- <b><a href=\"https://github.com/man-group/dtale\">D-Tale</a></b> (🥉21 ·  ⭐ 2K · ➕) - Visualizer for pandas data structures. <code><a href=\"https://tldrlegal.com/search?q=LGPL-2.1\">❗️LGPL-2.1</a></code> <code><img src=\"https://git.io/JLy1S\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/quantumblacklabs/causalnex\">CausalNex</a></b> (🥉19 ·  ⭐ 950 · ➕) - A Python library that helps data scientists to infer.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/aashrafh/Mozart\">Mozart</a></b> (🥉10 ·  ⭐ 220 · 🐣) - An optical music recognition (OMR) system. Converts sheet.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n\n"
  },
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    "path": "history/2021-01-28_projects.csv",
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Benchmarks,erikbern/ann-benchmarks,True,nn-search,https://github.com/erikbern/ann-benchmarks,https://github.com/erikbern/ann-benchmarks,MIT,2015-05-28 13:21:43.000000,2021-01-27 22:29:47.000000,2021-01-27 22:29:46.000000,319,25.0,56.0,2028,1170.0,Benchmarks of approximate nearest neighbor libraries in Python.,53.0,0,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n1,best-of-web-python - Web Scraping,ml-tooling/best-of-web-python,True,web-scraping,https://github.com/ml-tooling/best-of-web-python,https://github.com/ml-tooling/best-of-web-python,CC-BY-SA-4.0,2021-01-05 13:09:27.000000,2021-01-28 15:25:24.000000,2021-01-25 10:01:31.000000,57,,2.0,964,,Collection of web-scraping and crawling libraries.,6.0,0,True,2021-01-21 18:24:48.000000,2021.01.21,5.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n2,best-of-python - DB 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19:38:00.000000,22524.0,4091893.0,4890826.0,https://anaconda.org/conda-forge/tensorflow,2020-07-15 22:30:18.070000,2278330.0,https://hub.docker.com/r/tensorflow/tensorflow,2021-01-27 15:00:24.068990,1835.0,47098429.0,1.0,,,,,,,,,,,,,,,,,,,,,,,\n4,pandas,pandas-dev/pandas,,data-containers,https://github.com/pandas-dev/pandas,https://github.com/pandas-dev/pandas,BSD-3-Clause,2010-08-24 01:37:33.000000,2021-01-28 15:05:40.000000,2021-01-28 15:05:39.000000,11757,3603.0,16389.0,28279,25729.0,\"Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R..\",2577.0,42,True,2021-01-20 13:34:07.000000,1.2.1,88.0,pandas,conda-forge/pandas,,,['pandas'],451420.0,374636.0,https://pypi.org/project/pandas,2021-01-20 13:34:07.000000,76784.0,19353084.0,19595242.0,https://anaconda.org/conda-forge/pandas,2021-01-20 19:11:38.815000,13498159.0,,,,,1.0,94126.0,,,,,,,,,,,,,,,,,,,,,,\n5,numpy,numpy/numpy,,data-containers,https://github.com/numpy/numpy,https://github.com/numpy/numpy,BSD-3-Clause,2010-09-13 23:02:39.000000,2021-01-28 14:45:18.000000,2021-01-28 05:59:57.000000,5195,2243.0,7259.0,16069,25321.0,The fundamental package for scientific computing with Python.,1241.0,42,True,2021-01-05 17:49:34.000000,1.19.5,94.0,numpy,conda-forge/numpy,,,,780933.0,611211.0,https://pypi.org/project/numpy,2021-01-05 17:19:38.000000,169722.0,31101274.0,31386245.0,https://anaconda.org/conda-forge/numpy,2021-01-11 07:51:33.196000,15622448.0,,,,,1.0,299968.0,,,,,,,,,,,,,,,,,,,,,,\n6,Matplotlib,matplotlib/matplotlib,,data-viz,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,Python-2.0,2011-02-19 03:17:12.000000,2021-01-28 09:22:10.000000,2021-01-28 09:17:03.000000,5603,1663.0,5954.0,13016,37684.0,matplotlib: plotting with Python.,1197.0,41,True,2021-01-28 08:54:50.000000,3.3.4,61.0,matplotlib,conda-forge/matplotlib,,,,398284.0,319180.0,https://pypi.org/project/matplotlib,2020-11-12 04:43:18.000000,79104.0,7219209.0,7342372.0,https://anaconda.org/conda-forge/matplotlib,2021-01-14 06:32:33.548000,7882445.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n7,scipy,scipy/scipy,,others,https://github.com/scipy/scipy,https://github.com/scipy/scipy,BSD-3-Clause,2011-03-09 18:52:03.000000,2021-01-28 15:27:26.000000,2021-01-28 15:27:25.000000,3531,1580.0,5686.0,7872,24828.0,\"Ecosystem of open-source software for mathematics, science, and engineering.\",1111.0,40,True,2020-12-31 15:02:43.000000,1.6.0,60.0,scipy,conda-forge/scipy,,,,384700.0,297838.0,https://pypi.org/project/scipy,2020-12-31 14:30:32.000000,86862.0,11314414.0,11533602.0,https://anaconda.org/conda-forge/scipy,2021-01-12 04:49:45.843000,12015644.0,,,,,1.0,305176.0,,,,,,,,,,,,,,,,,,,,,,\n8,PyTorch,pytorch/pytorch,,ml-frameworks,https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41.000000,2021-01-28 14:01:30.000000,2021-01-28 12:35:22.000000,11743,7100.0,12751.0,45831,33093.0,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,2477.0,39,True,2020-12-10 17:19:58.000000,1.7.1,30.0,torch,pytorch/pytorch,,https://pytorch.org/docs/stable/index.html,['pytorch'],67095.0,60413.0,https://pypi.org/project/torch,2020-12-10 16:22:02.000000,6682.0,1340398.0,1600842.0,https://anaconda.org/pytorch/pytorch,2020-12-10 16:11:32.801000,9896907.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n9,Pillow,python-pillow/Pillow,,image,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000000,2021-01-28 12:10:02.000000,2021-01-27 06:58:02.000000,1559,240.0,1870.0,8149,11122.0,The friendly PIL fork (Python Imaging 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2.0.,768.0,36,True,2021-01-21 08:14:39.000000,4.2.2,47.0,transformers,conda-forge/transformers,,,\"['pytorch', 'tensorflow']\",7369.0,7241.0,https://pypi.org/project/transformers,2021-01-21 08:11:31.000000,128.0,569137.0,570290.0,https://anaconda.org/conda-forge/transformers,2021-01-21 12:14:11.802000,16576.0,,,,,1.0,1250.0,,,,,,,,,,,,,,,,,,,,,,\n16,Faker,joke2k/faker,,data-loading,https://github.com/joke2k/faker,https://github.com/joke2k/faker,MIT,2012-11-12 23:00:09.000000,2021-01-26 18:13:56.129000,2021-01-26 15:13:28.000000,1365,134.0,350.0,12022,2546.0,Faker is a Python package that generates fake data for you.,386.0,36,True,2021-01-26 15:13:28.000000,5.8.0,117.0,Faker,conda-forge/faker,,,,27586.0,22874.0,https://pypi.org/project/Faker,2021-01-26 15:13:11.000000,4712.0,1587343.0,1595279.0,https://anaconda.org/conda-forge/faker,2021-01-26 18:13:56.129000,365100.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n17,torchvision,pytorch/vision,,image,https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000000,2021-01-28 14:37:12.000000,2021-01-28 10:44:14.000000,4267,454.0,1078.0,8246,1437.0,\"Datasets, Transforms and Models specific to Computer Vision.\",358.0,36,True,2020-12-10 17:10:41.000000,0.8.2,21.0,torchvision,conda-forge/torchvision,,,['pytorch'],44734.0,40122.0,https://pypi.org/project/torchvision,2020-12-10 16:27:20.000000,4612.0,515683.0,516604.0,https://anaconda.org/conda-forge/torchvision,2018-10-14 22:06:28.203000,34110.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n18,SymPy,sympy/sympy,,others,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000000,2021-01-28 13:59:28.000000,2021-01-27 15:11:56.000000,3273,4027.0,7099.0,7764,45923.0,A computer algebra system written in pure Python.,1034.0,36,True,2020-12-12 23:23:00.000000,1.7.1,36.0,sympy,conda-forge/sympy,,,,34895.0,28473.0,https://pypi.org/project/sympy,2020-12-12 23:23:00.000000,6422.0,477156.0,504260.0,https://anaconda.org/conda-forge/sympy,2021-01-08 20:38:32.429000,1260446.0,,,,,1.0,413732.0,,,,,,,,,,,,,,,,,,,,,,\n19,StatsModels,statsmodels/statsmodels,,ml-frameworks,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000000,2021-01-28 08:07:06.000000,2021-01-27 16:08:19.000000,2145,2063.0,2247.0,5950,13568.0,Statsmodels: statistical modeling and econometrics in Python.,299.0,36,True,2020-10-29 16:36:43.000000,0.12.1,24.0,statsmodels,conda-forge/statsmodels,,,,43085.0,36429.0,https://pypi.org/project/statsmodels,2020-10-29 16:36:43.000000,6656.0,1589544.0,1648084.0,https://anaconda.org/conda-forge/statsmodels,2021-01-12 04:40:51.933000,3219739.0,,,,,1.0,25.0,,,,,,,,,,,,,,,,,,,,,,\n20,Tensorboard,tensorflow/tensorboard,,ml-experiments,https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000000,2021-01-28 06:51:57.000000,2021-01-28 03:55:45.000000,1346,552.0,933.0,5136,4226.0,TensorFlow's Visualization Toolkit.,250.0,36,True,2021-01-14 20:44:05.000000,2.4.1,36.0,tensorboard,conda-forge/tensorboard,,,['tensorflow'],56137.0,52523.0,https://pypi.org/project/tensorboard,2020-11-12 03:15:33.000000,3614.0,4242426.0,4283941.0,https://anaconda.org/conda-forge/tensorboard,2021-01-15 08:30:57.960000,1577575.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n21,scikit-image,scikit-image/scikit-image,,image,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,BSD-2-Clause,2011-07-07 22:07:20.000000,2021-01-28 10:37:34.000000,2021-01-22 13:57:44.000000,1727,661.0,1481.0,4156,12469.0,Image processing in Python.,477.0,36,True,2021-01-19 08:17:34.000000,0.18.1,35.0,scikit-image,conda-forge/scikit-image,,,,74298.0,59524.0,https://pypi.org/project/scikit-image,2020-12-23 06:36:46.000000,14774.0,1393657.0,1431034.0,https://anaconda.org/conda-forge/scikit-image,2021-01-21 20:53:16.554000,2093160.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n22,h5py,h5py/h5py,,data-containers,https://github.com/h5py/h5py,https://github.com/h5py/h5py,BSD-3-Clause,2012-09-21 00:40:02.000000,2021-01-28 00:30:09.000000,2021-01-19 08:39:24.000000,393,183.0,945.0,1475,3510.0,HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.,159.0,36,True,2020-11-06 14:30:54.000000,3.1.0,25.0,h5py,conda-forge/h5py,,,,123216.0,100280.0,https://pypi.org/project/h5py,2020-11-06 14:30:54.000000,22936.0,4152927.0,4230366.0,https://anaconda.org/conda-forge/h5py,2021-01-01 10:48:16.133000,4490522.0,,,,,1.0,801.0,,,,,,,,,,,,,,,,,,,,,,\n23,Keras,keras-team/keras,,ml-frameworks,https://github.com/keras-team/keras,https://github.com/keras-team/keras,MIT,2015-03-28 00:35:42.000000,2021-01-28 01:21:44.000000,2021-01-27 21:42:13.000000,18720,3182.0,7229.0,50600,5379.0,Deep Learning for humans.,896.0,35,True,2020-06-24 22:40:48.000000,2.4.3,53.0,keras,conda-forge/keras,,https://keras.io,['tensorflow'],14996.0,,https://pypi.org/project/keras,2020-06-24 22:40:48.000000,14996.0,1457701.0,1484323.0,https://anaconda.org/conda-forge/keras,2020-06-25 19:13:34.254000,1411008.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n24,OpenAI Gym,openai/gym,,reinforcement-learning,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16.000000,2021-01-25 09:30:06.000000,2021-01-11 17:58:46.000000,6624,241.0,1061.0,23310,1241.0,A toolkit for developing and comparing reinforcement learning algorithms.,272.0,35,True,2020-12-19 00:29:36.000000,0.18.0,92.0,gym,,,,,21093.0,17531.0,https://pypi.org/project/gym,2020-12-19 00:29:36.000000,3562.0,259501.0,259501.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n25,XGBoost,dmlc/xgboost,,ml-frameworks,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000000,2021-01-28 14:18:43.000000,2021-01-28 13:47:57.000000,7873,250.0,3654.0,20485,5207.0,\"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..\",501.0,35,True,2021-01-20 13:52:38.000000,1.3.3,53.0,xgboost,conda-forge/xgboost,,https://xgboost.readthedocs.io/en/latest/,,14926.0,13334.0,https://pypi.org/project/xgboost,2021-01-20 13:39:06.000000,1592.0,2044187.0,2073095.0,https://anaconda.org/conda-forge/xgboost,2020-12-10 13:41:20.626000,1328746.0,,,,,1.0,1903.0,,,,,,,,,,,,,,,,,,,,,,\n26,Airflow,apache/airflow,,data-pipelines,https://github.com/apache/airflow,https://github.com/apache/airflow,Apache-2.0,2015-04-13 18:04:58.000000,2021-01-28 15:13:14.000000,2021-01-28 00:09:02.000000,7869,1000.0,1898.0,20466,11511.0,\"Platform to programmatically author, schedule, and monitor workflows.\",1720.0,35,True,2020-12-18 13:21:47.000000,2.0.0,67.0,apache-airflow,conda-forge/airflow,apache/airflow,,,294.0,,https://pypi.org/project/apache-airflow,2020-12-14 17:07:53.000000,294.0,475057.0,559800.0,https://anaconda.org/conda-forge/airflow,2020-11-26 16:17:26.980000,266581.0,https://hub.docker.com/r/apache/airflow,2021-01-26 16:40:01.050356,208.0,5342278.0,1.0,81989.0,stable/airflow,,,,,,,,,,,,,,,,,,,,,\n27,LightGBM,microsoft/LightGBM,,ml-frameworks,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000000,2021-01-28 13:09:56.000000,2021-01-28 11:26:52.000000,3176,92.0,1995.0,12115,2274.0,\"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..\",200.0,35,True,2020-12-08 03:00:35.000000,3.1.1,24.0,lightgbm,conda-forge/lightgbm,,,,6005.0,5449.0,https://pypi.org/project/lightgbm,2020-12-08 03:00:35.000000,556.0,1121292.0,1134570.0,https://anaconda.org/conda-forge/lightgbm,2021-01-15 08:38:34.182000,473927.0,,,,,1.0,89789.0,,,,,,,,,,,,,,,,,,,,,,\n28,gensim,RaRe-Technologies/gensim,,nlp,https://github.com/RaRe-Technologies/gensim,https://github.com/RaRe-Technologies/gensim,LGPL-2.1,2011-02-10 07:43:04.000000,2021-01-24 13:04:03.000000,2021-01-23 08:45:26.000000,3897,351.0,1249.0,11646,3849.0,Topic Modelling for Humans.,386.0,35,True,2020-05-04 05:55:15.000000,3.8.3,83.0,gensim,conda-forge/gensim,,,,25146.0,20404.0,https://pypi.org/project/gensim,2020-11-15 12:53:37.000000,4742.0,5769060.0,5783891.0,https://anaconda.org/conda-forge/gensim,2020-05-14 08:28:35.604000,591324.0,,,,,1.0,3021.0,,,,,,,,,,,,,,,,,,,,,,\n29,Plotly,plotly/plotly.py,,data-viz,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000000,2021-01-26 15:38:29.000000,2021-01-14 02:04:12.000000,1739,800.0,1048.0,8749,4923.0,The interactive graphing library for Python (includes Plotly Express).,162.0,35,True,2021-01-12 17:01:21.000000,4.14.3,265.0,plotly,conda-forge/plotly,,,,4991.0,5.0,https://pypi.org/project/plotly,2021-01-12 16:12:40.000000,4982.0,2130970.0,2303397.0,https://anaconda.org/conda-forge/plotly,2021-01-12 17:11:42.117000,1172010.0,,,,,1.0,,,,plotlywidget,https://www.npmjs.com/package/plotlywidget,2021-01-12 16:09:46.133000,4.0,150314.0,,,,,,,,,,,,,,,\n30,Seaborn,mwaskom/seaborn,,data-viz,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000000,2021-01-28 12:37:52.000000,2021-01-24 13:21:41.000000,1366,87.0,1671.0,8033,2744.0,Statistical data visualization using matplotlib.,147.0,35,True,2020-12-20 20:53:25.000000,0.11.1,23.0,seaborn,conda-forge/seaborn,,,,91884.0,79098.0,https://pypi.org/project/seaborn,2020-12-20 20:53:25.000000,12786.0,1541404.0,1577544.0,https://anaconda.org/conda-forge/seaborn,2021-01-28 11:50:33.609000,1915387.0,,,,,1.0,124.0,,,,,,,,,,,,,,,,,,,,,,\n31,dask,dask/dask,,distributed-ml,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000000,2021-01-28 14:42:14.000000,2021-01-27 20:40:52.000000,1209,716.0,2805.0,7823,6304.0,Parallel computing with task scheduling.,423.0,35,True,2021-01-22 18:21:58.000000,2021.1.1,111.0,dask,conda-forge/dask,,,,28773.0,24857.0,https://pypi.org/project/dask,2021-01-22 18:21:58.000000,3916.0,1112078.0,1163476.0,https://anaconda.org/conda-forge/dask,2021-01-23 02:09:28.436000,2878341.0,,,,,1.0,,stable/dask,,,,,,,,,,,,,,,,,,,,,\n32,Arrow,apache/arrow,,data-containers,https://github.com/apache/arrow,https://github.com/apache/arrow,Apache-2.0,2016-02-17 08:00:23.000000,2021-01-28 14:51:22.000000,2021-01-28 14:44:24.000000,1750,148.0,547.0,6974,8440.0,Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-..,617.0,35,True,2020-10-19 21:15:12.000000,3.0.0,30.0,pyarrow,conda-forge/arrow,,,,1016.0,30.0,https://pypi.org/project/pyarrow,2021-01-26 01:05:45.000000,986.0,11438626.0,11446786.0,https://anaconda.org/conda-forge/arrow,2021-01-12 20:46:01.093000,457005.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n33,joblib,joblib/joblib,,data-pipelines,https://github.com/joblib/joblib,https://github.com/joblib/joblib,BSD-3-Clause,2010-05-07 06:48:26.000000,2021-01-12 11:48:34.000000,2020-12-28 10:07:59.000000,286,291.0,352.0,2323,1365.0,Computing with Python functions.,98.0,35,True,2020-12-14 14:21:00.000000,1.0.0,99.0,joblib,conda-forge/joblib,,,,85557.0,78947.0,https://pypi.org/project/joblib,2020-12-14 14:21:00.000000,6610.0,12833705.0,12889224.0,https://anaconda.org/conda-forge/joblib,2020-12-14 14:36:22.998000,2998071.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n34,MXNet,apache/incubator-mxnet,,ml-frameworks,https://github.com/apache/incubator-mxnet,https://github.com/apache/incubator-mxnet,Apache-2.0,2015-04-30 16:21:15.000000,2021-01-28 13:29:40.000000,2021-01-20 22:37:51.000000,6808,1822.0,7547.0,19241,11503.0,\"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..\",948.0,34,True,2020-08-28 05:08:24.000000,1.7.0,976.0,mxnet,mxnet,,,['mxnet'],2211.0,1767.0,https://pypi.org/project/mxnet,2020-08-28 06:18:15.000000,444.0,109139.0,109711.0,https://anaconda.org/anaconda/mxnet,2020-02-29 00:58:31.007000,5708.0,,,,,2.0,23430.0,,,,,,,,0.0,,,,,,,,,,,,,,\n35,dash,plotly/dash,,data-viz,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000000,2021-01-24 02:22:19.000000,2021-01-20 23:05:35.000000,1414,405.0,558.0,13825,3543.0,\"Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.\",72.0,34,True,2021-01-20 00:00:50.000000,1.19.0,137.0,dash,conda-forge/dash,,,,18501.0,16893.0,https://pypi.org/project/dash,2021-01-19 23:50:28.000000,1608.0,190089.0,196645.0,https://anaconda.org/conda-forge/dash,2021-01-21 16:17:38.594000,209812.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n36,nltk,nltk/nltk,,nlp,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58.000000,2021-01-24 01:38:07.000000,2021-01-02 00:33:13.000000,2397,243.0,1223.0,9571,,Suite of libraries and programs for symbolic and statistical natural language processing for English.,386.0,34,True,2019-08-20 10:55:21.000000,3.4.5,39.0,nltk,conda-forge/nltk,,,,108412.0,87420.0,https://pypi.org/project/nltk,2020-04-12 23:46:10.000000,20992.0,4173682.0,4185344.0,https://anaconda.org/conda-forge/nltk,2019-08-08 17:07:46.504000,618091.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n37,Theano,Theano/Theano,,ml-frameworks,https://github.com/Theano/Theano,https://github.com/Theano/Theano,BSD-3-Clause,2011-08-10 03:48:06.000000,2021-01-27 07:16:52.000000,2020-09-05 10:39:50.000000,2501,674.0,2081.0,9328,28123.0,\"Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-..\",382.0,34,True,2020-07-27 16:13:54.000000,1.0.5,45.0,theano,conda-forge/theano,,,,15580.0,10106.0,https://pypi.org/project/theano,2020-07-27 16:13:54.000000,5474.0,156831.0,180473.0,https://anaconda.org/conda-forge/theano,2021-01-21 21:14:21.756000,1276711.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n38,mlflow,mlflow/mlflow,,ml-experiments,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000000,2021-01-28 11:42:07.000000,2021-01-27 04:57:11.000000,1865,679.0,1039.0,8258,1861.0,Open source platform for the machine learning lifecycle.,276.0,34,True,2020-12-31 09:17:41.000000,1.13.1,40.0,mlflow,conda-forge/mlflow,,,,2008.0,1854.0,https://pypi.org/project/mlflow,2020-12-31 08:55:08.000000,154.0,2060585.0,2070329.0,https://anaconda.org/conda-forge/mlflow,2021-01-11 17:08:19.258000,204644.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n39,dask.distributed,dask/distributed,,distributed-ml,https://github.com/dask/distributed,https://github.com/dask/distributed,BSD-3-Clause,2015-09-13 18:42:29.000000,2021-01-28 11:42:17.000000,2021-01-25 23:30:07.000000,506,713.0,1259.0,1139,3782.0,A distributed task scheduler for Dask.,226.0,34,True,2021-01-15 21:36:03.000000,2021.1.1,142.0,distributed,conda-forge/distributed,,,,18176.0,16398.0,https://pypi.org/project/distributed,2021-01-22 18:29:47.000000,1778.0,701962.0,765882.0,https://anaconda.org/conda-forge/distributed,2021-01-23 01:04:22.184000,3579572.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n40,PyFlink,apache/flink,,ml-frameworks,https://github.com/apache/flink,https://github.com/apache/flink,Apache-2.0,2014-06-07 07:00:10.000000,2021-01-28 13:44:55.000000,2021-01-28 13:10:17.000000,8492,476.0,,15382,25477.0,Apache Flink Python API.,1185.0,33,True,2021-01-15 01:51:44.000000,1.12.1,12.0,apache-flink,,,,,244.0,244.0,https://pypi.org/project/apache-flink,2021-01-15 01:51:44.000000,0.0,1774.0,1774.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n41,Ray,ray-project/ray,,distributed-ml,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000000,2021-01-28 14:20:02.000000,2021-01-28 12:28:08.000000,2345,1235.0,4612.0,14615,7086.0,\"An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged..\",423.0,33,True,2020-12-24 10:13:39.000000,1.1.0,43.0,ray,,,,,1697.0,1537.0,https://pypi.org/project/ray,2020-12-24 10:13:39.000000,160.0,147958.0,147958.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n42,Bokeh,bokeh/bokeh,,data-viz,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000000,2021-01-27 22:58:13.000000,2021-01-27 22:58:09.000000,3621,605.0,5748.0,14575,,\"Interactive Data Visualization in the browser, from Python.\",546.0,33,True,2020-10-21 02:39:03.000000,2.2.3,83.0,bokeh,conda-forge/bokeh,,,,36037.0,30165.0,https://pypi.org/project/bokeh,2021-01-19 00:27:21.000000,5872.0,844971.0,925754.0,https://anaconda.org/conda-forge/bokeh,2021-01-13 10:22:16.472000,3635252.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n43,luigi,spotify/luigi,,data-pipelines,https://github.com/spotify/luigi,https://github.com/spotify/luigi,Apache-2.0,2012-09-20 15:06:38.000000,2021-01-17 18:35:42.000000,2021-01-14 12:33:44.000000,2207,63.0,838.0,14151,3943.0,\"Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution,..\",551.0,33,True,2020-09-23 11:57:43.000000,3.0.2,72.0,luigi,luigi,,,,1993.0,1317.0,https://pypi.org/project/luigi,2020-09-23 11:57:12.000000,676.0,321278.0,321384.0,https://anaconda.org/anaconda/luigi,2020-07-21 19:50:10.849000,6272.0,,,,,1.0,,stable/luigi,,,,,,,,,,,,,,,,,,,,,\n44,pytorch-lightning,PyTorchLightning/pytorch-lightning,,ml-frameworks,https://github.com/PyTorchLightning/pytorch-lightning,https://github.com/PyTorchLightning/pytorch-lightning,Apache-2.0,2019-03-31 00:45:57.000000,2021-01-28 12:53:49.000000,2021-01-28 09:49:21.000000,1342,322.0,2495.0,11671,4108.0,\"The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.\",372.0,33,True,2021-01-26 22:00:17.000000,1.1.6,148.0,pytorch-lightning,conda-forge/pytorch-lightning,,,['pytorch'],1778.0,1764.0,https://pypi.org/project/pytorch-lightning,2021-01-26 22:00:17.000000,14.0,88636.0,91489.0,https://anaconda.org/conda-forge/pytorch-lightning,2021-01-26 23:09:14.668000,19952.0,,,,,2.0,69.0,,,,,,,,,,,,,,,,,,,,,,\n45,shap,slundberg/shap,,interpretability,https://github.com/slundberg/shap,https://github.com/slundberg/shap,MIT,2016-11-22 19:17:08.000000,2021-01-28 02:37:28.000000,2021-01-26 16:41:15.000000,1657,925.0,501.0,11527,1785.0,A game theoretic approach to explain the output of any machine learning model.,142.0,33,True,2021-01-15 18:02:54.000000,0.38.1,92.0,shap,conda-forge/shap,,,,2067.0,1931.0,https://pypi.org/project/shap,2020-11-04 21:38:32.000000,136.0,694313.0,706982.0,https://anaconda.org/conda-forge/shap,2020-12-16 19:26:39.477000,367414.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n46,onnx,onnx/onnx,,model-serialisation,https://github.com/onnx/onnx,https://github.com/onnx/onnx,Apache-2.0,2017-09-07 04:53:45.000000,2021-01-28 15:13:29.000000,2021-01-28 01:43:01.000000,1769,509.0,932.0,9686,1671.0,Open standard for machine learning interoperability.,191.0,33,True,2020-11-07 00:55:30.000000,1.8.0,19.0,onnx,conda-forge/onnx,,,,2747.0,2451.0,https://pypi.org/project/onnx,2020-11-06 22:46:10.000000,296.0,269103.0,274167.0,https://anaconda.org/conda-forge/onnx,2021-01-13 07:24:33.224000,182607.0,,,,,1.0,10112.0,,,,,,,,,,,,,,,,,,,,,,\n47,pydeck,visgl/deck.gl,,geospatial-data,https://github.com/visgl/deck.gl,https://github.com/visgl/deck.gl,MIT,2015-12-15 08:38:29.000000,2021-01-28 11:03:57.000000,2021-01-28 11:00:55.000000,1501,92.0,1952.0,8375,3517.0,WebGL2 powered geospatial visualization layers.,151.0,33,True,2021-01-27 05:45:18.889000,8.3.15,444.0,pydeck,conda-forge/pydeck,,,['jupyter'],1958.0,1396.0,https://pypi.org/project/pydeck,2020-10-26 06:55:35.000000,2.0,91925.0,249046.0,https://anaconda.org/conda-forge/pydeck,2020-10-26 12:26:44.805000,12595.0,,,,,1.0,,,,deck.gl,https://www.npmjs.com/package/deck.gl,2021-01-22 22:24:01.370000,560.0,155976.0,,,,,,,,,,,,,,,\n48,rq,rq/rq,,data-pipelines,https://github.com/rq/rq,https://github.com/rq/rq,BSD-3-Clause,2011-11-14 10:53:48.000000,2021-01-27 23:10:18.000000,2021-01-26 00:19:03.000000,1192,139.0,670.0,7496,1551.0,Simple job queues for Python.,224.0,33,True,2020-11-29 09:48:18.000000,1.7.0,63.0,rq,conda-forge/rq,,,,10506.0,7182.0,https://pypi.org/project/rq,2020-11-29 09:47:08.000000,3324.0,194425.0,195228.0,https://anaconda.org/conda-forge/rq,2020-11-29 15:11:15.371000,43380.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n49,geopy,geopy/geopy,,geospatial-data,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000000,2021-01-15 21:49:19.000000,2020-12-27 16:15:28.000000,535,25.0,212.0,3192,1004.0,Geocoding library for Python.,117.0,33,True,2020-12-27 13:15:23.000000,2.1.0,57.0,geopy,conda-forge/geopy,,,,23252.0,16008.0,https://pypi.org/project/geopy,2020-12-27 13:12:21.000000,7244.0,3325613.0,3334283.0,https://anaconda.org/conda-forge/geopy,2020-12-27 14:22:55.127000,502860.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n50,Shapely,Toblerity/Shapely,,geospatial-data,https://github.com/Toblerity/Shapely,https://github.com/Toblerity/Shapely,BSD-3-Clause,2011-12-31 19:43:11.000000,2021-01-28 06:14:14.000000,2021-01-27 03:06:05.000000,375,137.0,571.0,2123,1482.0,Manipulation and analysis of geometric objects.,104.0,33,True,2020-08-20 23:31:01.000000,1.7.1,99.0,shapely,conda-forge/shapely,,,,21302.0,15844.0,https://pypi.org/project/shapely,2020-08-20 23:31:01.000000,5458.0,1704816.0,1736572.0,https://anaconda.org/conda-forge/shapely,2021-01-24 21:27:29.350000,2000686.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n51,xlrd,python-excel/xlrd,,data-loading,https://github.com/python-excel/xlrd,https://github.com/python-excel/xlrd,BSD-3-Clause,2012-03-07 04:50:48.000000,2021-01-09 20:35:27.639000,2020-12-12 15:24:25.000000,406,3.0,,1851,502.0,Please use openpyxl where you can...,50.0,33,True,2020-12-11 10:14:20.000000,2.0.1,24.0,xlrd,conda-forge/xlrd,,,,76205.0,62631.0,https://pypi.org/project/xlrd,2020-12-11 10:14:20.000000,13574.0,4285618.0,4311069.0,https://anaconda.org/conda-forge/xlrd,2021-01-09 20:35:27.639000,1170771.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n52,Fastai,fastai/fastai,,ml-frameworks,https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000000,2021-01-27 14:20:49.000000,2021-01-27 14:20:48.000000,6915,66.0,1310.0,20328,1659.0,The fastai deep learning library.,472.0,32,True,2021-01-13 19:38:43.000000,2.2.5,116.0,fastai,,,,['pytorch'],368.0,,https://pypi.org/project/fastai,2021-01-13 19:38:43.000000,368.0,111261.0,111261.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n53,jax,google/jax,,ml-frameworks,https://github.com/google/jax,https://github.com/google/jax,Apache-2.0,2018-10-25 21:25:02.000000,2021-01-28 04:00:43.000000,2021-01-28 01:50:53.000000,961,718.0,1390.0,11174,6718.0,\"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.\",248.0,32,True,2021-01-27 04:52:22.000000,0.2.9,88.0,jax,conda-forge/jaxlib,,,,1078.0,1032.0,https://pypi.org/project/jax,2021-01-27 04:52:22.000000,46.0,59758.0,63700.0,https://anaconda.org/conda-forge/jaxlib,2021-01-18 19:48:22.594000,70969.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n54,tensor2tensor,tensorflow/tensor2tensor,,tensorflow-utils,https://github.com/tensorflow/tensor2tensor,https://github.com/tensorflow/tensor2tensor,Apache-2.0,2017-06-15 16:57:39.000000,2020-12-15 01:23:04.000000,2020-11-16 14:28:10.000000,2722,546.0,663.0,10859,4345.0,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,230.0,32,True,2020-06-17 16:15:36.000000,1.15.7,79.0,tensor2tensor,,,,['tensorflow'],976.0,894.0,https://pypi.org/project/tensor2tensor,2020-06-17 16:15:36.000000,82.0,75750.0,75750.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n55,dlib,davisking/dlib,,ml-frameworks,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000000,2021-01-28 13:35:32.000000,2021-01-28 13:35:17.000000,2832,46.0,1812.0,9842,7911.0,A toolkit for making real world machine learning and data analysis applications in C++.,164.0,32,False,2020-12-04 19:23:04.000000,19.21.1,28.0,dlib,conda-forge/dlib,,,,9490.0,8132.0,https://pypi.org/project/dlib,2020-12-04 19:23:04.000000,1358.0,49973.0,55387.0,https://anaconda.org/conda-forge/dlib,2021-01-14 21:24:20.585000,262699.0,,,,,2.0,24329.0,,-1.0,,,,,,,,,,,,,,,,,,,,\n56,AllenNLP,allenai/allennlp,,nlp,https://github.com/allenai/allennlp,https://github.com/allenai/allennlp,Apache-2.0,2017-05-15 15:52:41.000000,2021-01-27 23:42:30.000000,2021-01-27 23:10:00.000000,1975,99.0,2134.0,9621,2357.0,\"An open-source NLP research library, built on PyTorch.\",231.0,32,True,2021-01-27 23:30:29.000000,2.0.0,158.0,allennlp,,,,['pytorch'],1643.0,1409.0,https://pypi.org/project/allennlp,2021-01-27 23:42:30.000000,234.0,12908.0,12908.0,,,,,,,,1.0,36.0,,3.0,,,,,,,,,,,,,,,,,,,,\n57,PyMC3,pymc-devs/pymc3,,probabilistics,https://github.com/pymc-devs/pymc3,https://github.com/pymc-devs/pymc3,Apache-2.0,2009-05-05 09:43:50.000000,2021-01-28 15:12:12.000000,2021-01-28 15:12:11.000000,1338,148.0,1985.0,5514,7653.0,Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano.,304.0,32,True,2021-01-21 08:37:19.000000,3.11.0,31.0,pymc3,conda-forge/pymc3,,,,2291.0,2005.0,https://pypi.org/project/pymc3,2021-01-21 08:37:19.000000,286.0,100552.0,105304.0,https://anaconda.org/conda-forge/pymc3,2021-01-21 21:05:06.553000,242322.0,,,,,1.0,149.0,,,,,,,,,,,,,,,,,,,,,,\n58,folium,python-visualization/folium,,geospatial-data,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000000,2021-01-18 18:15:18.000000,2021-01-18 17:35:27.000000,1899,148.0,685.0,5104,1473.0,Python Data. Leaflet.js Maps.,120.0,32,True,2021-01-18 17:29:40.000000,0.12.1,25.0,folium,conda-forge/folium,,,,9185.0,8217.0,https://pypi.org/project/folium,2021-01-18 17:29:40.000000,968.0,187192.0,192677.0,https://anaconda.org/conda-forge/folium,2021-01-06 21:06:10.173000,318131.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n59,Beam,apache/beam,,data-pipelines,https://github.com/apache/beam,https://github.com/apache/beam,Apache-2.0,2016-02-02 08:00:06.000000,2021-01-28 13:38:23.000000,2021-01-28 03:18:32.000000,2844,129.0,,4538,30392.0,\"Unified programming model to define and execute data processing pipelines, including ETL, batch and stream processing.\",1008.0,32,True,2021-01-08 20:56:28.000000,2.27.0,30.0,apache-beam,,,,,186.0,,https://pypi.org/project/apache-beam,2021-01-08 20:08:17.000000,186.0,1165542.0,1165542.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n60,xmltodict,martinblech/xmltodict,,data-loading,https://github.com/martinblech/xmltodict,https://github.com/martinblech/xmltodict,MIT,2012-04-17 14:38:21.000000,2020-11-05 01:54:38.000000,2020-04-26 05:15:03.000000,398,63.0,135.0,4250,205.0,Python module that makes working with XML feel like you are working with JSON.,41.0,32,True,2019-02-11 07:00:26.000000,0.12.0,27.0,xmltodict,conda-forge/xmltodict,,,,28973.0,20739.0,https://pypi.org/project/xmltodict,2019-02-11 07:00:26.000000,8234.0,3343623.0,3355462.0,https://anaconda.org/conda-forge/xmltodict,2019-02-11 11:53:14.803000,627509.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n61,Tablib,jazzband/tablib,,data-loading,https://github.com/jazzband/tablib,https://github.com/jazzband/tablib,MIT,2011-03-28 02:36:50.000000,2020-12-13 06:03:08.000000,2020-12-11 07:22:54.000000,560,34.0,197.0,3851,1123.0,\"Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c.\",110.0,32,True,2020-12-05 14:56:28.000000,3.0.0,38.0,tablib,conda-forge/tablib,,,,11562.0,9204.0,https://pypi.org/project/tablib,2020-12-05 14:56:28.000000,2358.0,447767.0,448888.0,https://anaconda.org/conda-forge/tablib,2020-12-05 16:40:48.469000,56058.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n62,tensorflow-hub,tensorflow/hub,,tensorflow-utils,https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42.000000,2021-01-28 11:48:22.000000,2021-01-28 11:48:18.000000,1438,45.0,503.0,2694,828.0,A library for transfer learning by reusing parts of TensorFlow models.,67.0,32,True,2021-01-06 16:20:30.000000,0.11.0,14.0,tensorflow-hub,conda-forge/tensorflow-hub,,,['tensorflow'],5490.0,5176.0,https://pypi.org/project/tensorflow-hub,2021-01-06 16:20:30.000000,314.0,667060.0,668630.0,https://anaconda.org/conda-forge/tensorflow-hub,2020-08-24 16:43:36.561000,48672.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n63,TensorFlow Datasets,tensorflow/datasets,,data-loading,https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000000,2021-01-28 14:26:12.000000,2021-01-28 14:15:47.000000,945,391.0,533.0,2643,3748.0,\"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...\",181.0,32,True,2021-01-07 09:50:58.000000,4.2.0,21.0,tensorflow-datasets,,,,['tensorflow'],3605.0,3503.0,https://pypi.org/project/tensorflow-datasets,2021-01-07 09:50:58.000000,102.0,444817.0,444817.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n64,Thinc,explosion/thinc,,ml-frameworks,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59.000000,2021-01-25 09:12:54.024000,2021-01-24 03:34:33.000000,197,9.0,87.0,2165,4901.0,\"A refreshing functional take on deep learning, compatible with your favorite libraries.\",36.0,32,True,2021-01-24 04:05:27.000000,8.0.1,188.0,thinc,conda-forge/thinc,,,,11989.0,10851.0,https://pypi.org/project/thinc,2021-01-24 04:05:27.000000,1138.0,702808.0,721013.0,https://anaconda.org/conda-forge/thinc,2021-01-25 09:12:54.024000,855671.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n65,xarray,pydata/xarray,,data-containers,https://github.com/pydata/xarray,https://github.com/pydata/xarray,Apache-2.0,2013-09-30 17:21:10.000000,2021-01-27 16:10:27.000000,2021-01-27 08:05:30.000000,625,785.0,1887.0,1912,3491.0,N-D labeled arrays and datasets in Python.,289.0,32,True,2020-11-30 21:28:55.000000,0.16.2,55.0,xarray,conda-forge/xarray,,,,6143.0,5011.0,https://pypi.org/project/xarray,2020-11-30 21:26:20.000000,1132.0,234031.0,274546.0,https://anaconda.org/conda-forge/xarray,2020-12-01 04:59:09.242000,2349886.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n66,jieba,fxsjy/jieba,,chinese-nlp,https://github.com/fxsjy/jieba,https://github.com/fxsjy/jieba,MIT,2012-09-29 07:52:01.000000,2020-12-05 18:32:32.000000,2020-02-15 08:33:35.000000,6065,592.0,196.0,25386,523.0,Chinese Words Segmentation Utilities.,48.0,31,True,2020-01-20 14:27:23.000000,0.42.1,32.0,jieba,conda-forge/jieba,,,,11654.0,9138.0,https://pypi.org/project/jieba,2020-01-20 14:27:23.000000,2516.0,118077.0,119535.0,https://anaconda.org/conda-forge/jieba,2020-03-25 20:57:40.090000,65629.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n67,ChatterBot,gunthercox/ChatterBot,,nlp,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00.000000,2021-01-03 01:13:36.000000,2020-08-20 21:16:14.000000,3665,222.0,1223.0,10769,1847.0,\"ChatterBot is a machine learning, conversational dialog engine for creating chat bots.\",103.0,31,True,2020-08-22 18:42:43.000000,1.0.8,86.0,chatterbot,,,,,3802.0,3122.0,https://pypi.org/project/chatterbot,2020-08-22 18:40:36.000000,680.0,19037.0,19037.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n68,imgaug,aleju/imgaug,,image,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33.000000,2020-10-19 12:23:22.000000,2020-06-01 14:58:26.000000,1956,214.0,203.0,10604,2913.0,Image augmentation for machine learning experiments.,36.0,31,True,2020-02-06 06:18:40.000000,0.4.0,11.0,imgaug,conda-forge/imgaug,,,,5441.0,5163.0,https://pypi.org/project/imgaug,2020-02-05 20:54:22.000000,278.0,103501.0,105190.0,https://anaconda.org/conda-forge/imgaug,2020-02-14 16:06:53.525000,32104.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n69,pyecharts,pyecharts/pyecharts,,data-viz,https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000000,2021-01-19 10:14:14.000000,2021-01-19 10:14:13.000000,2340,23.0,1337.0,10456,1512.0,Python Echarts Plotting Library.,30.0,31,True,2020-10-29 15:14:08.000000,1.9.0,66.0,pyecharts,,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,['jupyter'],1739.0,1457.0,https://pypi.org/project/pyecharts,2020-10-29 15:14:08.000000,282.0,20176.0,20176.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n70,wordcloud,amueller/word_cloud,,data-viz,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59.000000,2021-01-21 10:00:39.000000,2020-11-11 21:35:51.000000,2025,97.0,343.0,7830,540.0,A little word cloud generator in Python.,58.0,31,True,2020-11-11 21:41:02.000000,1.8.1,16.0,wordcloud,conda-forge/wordcloud,,,,9742.0,8638.0,https://pypi.org/project/wordcloud,2020-11-11 21:41:02.000000,1104.0,190056.0,193518.0,https://anaconda.org/conda-forge/wordcloud,2021-01-14 18:03:24.960000,183530.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n71,Altair,altair-viz/altair,,data-viz,https://github.com/altair-viz/altair,https://github.com/altair-viz/altair,BSD-3-Clause,2015-09-19 03:14:04.000000,2021-01-12 16:59:04.000000,2021-01-12 16:59:02.000000,570,287.0,1203.0,6363,3047.0,Declarative statistical visualization library for Python.,121.0,31,True,2020-04-01 13:29:16.000000,4.1.0,26.0,altair,conda-forge/altair,,,,8009.0,7639.0,https://pypi.org/project/altair,2020-04-01 13:23:10.000000,370.0,535618.0,546557.0,https://anaconda.org/conda-forge/altair,2020-04-01 16:49:36.519000,590706.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n72,Catboost,catboost/catboost,,ml-frameworks,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000000,2021-01-28 14:11:56.000000,2021-01-28 14:11:51.000000,859,314.0,1035.0,5659,14465.0,\"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..\",729.0,31,True,2020-12-27 09:12:53.000000,0.24.4,91.0,catboost,conda-forge/catboost,,,,162.0,,https://pypi.org/project/catboost,2020-12-27 06:58:33.000000,162.0,543142.0,561788.0,https://anaconda.org/conda-forge/catboost,2020-12-29 11:38:06.128000,558299.0,,,,,2.0,48012.0,,,,,,,,,,,,,,,,,,,,,,\n73,Chainer,chainer/chainer,,ml-frameworks,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37.000000,2021-01-27 02:02:22.000000,2020-12-23 09:08:19.000000,1371,16.0,2016.0,5521,30550.0,A flexible framework of neural networks for deep learning.,319.0,31,True,2021-01-13 10:14:54.000000,7.0.0.post1,109.0,chainer,,,,,2590.0,1848.0,https://pypi.org/project/chainer,2021-01-13 09:29:55.000000,742.0,14307.0,14307.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n74,sentencepiece,google/sentencepiece,,nlp,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000000,2021-01-12 17:23:26.000000,2021-01-12 17:23:24.000000,633,22.0,390.0,4762,662.0,Unsupervised text tokenizer for Neural Network-based text generation.,48.0,31,True,2021-01-10 06:29:42.000000,0.1.95,30.0,sentencepiece,conda-forge/sentencepiece,,,,5826.0,5586.0,https://pypi.org/project/sentencepiece,2021-01-10 06:29:42.000000,240.0,809051.0,813550.0,https://anaconda.org/conda-forge/sentencepiece,2021-01-08 22:01:24.349000,24911.0,,,,,1.0,10098.0,,,,,,,,,,,,,,,,,,,,,,\n75,Optuna,optuna/optuna,,hyperopt,https://github.com/optuna/optuna,https://github.com/optuna/optuna,MIT,2018-02-21 06:12:56.000000,2021-01-28 14:47:49.000000,2021-01-28 12:14:16.000000,448,190.0,471.0,3982,8887.0,A hyperparameter optimization framework.,121.0,31,True,2021-01-12 07:33:47.000000,2.4.0,34.0,optuna,conda-forge/optuna,,,,964.0,912.0,https://pypi.org/project/optuna,2020-11-04 04:29:39.000000,52.0,135594.0,136820.0,https://anaconda.org/conda-forge/optuna,2021-01-13 04:21:59.552000,17171.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n76,tensorflow-probability,tensorflow/probability,,probabilistics,https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000000,2021-01-27 22:25:00.000000,2021-01-27 22:24:55.000000,846,430.0,519.0,3218,10218.0,Probabilistic reasoning and statistical analysis in TensorFlow.,400.0,31,True,2020-12-29 18:40:25.000000,0.12.1,35.0,tensorflow-probability,conda-forge/tensorflow-probability,,,['tensorflow'],253.0,1.0,https://pypi.org/project/tensorflow-probability,2020-12-29 17:46:08.000000,252.0,291766.0,293049.0,https://anaconda.org/conda-forge/tensorflow-probability,2020-03-13 21:04:53.147000,29527.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n77,GeoPandas,geopandas/geopandas,,geospatial-data,https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000000,2021-01-28 08:44:58.000000,2021-01-28 08:44:56.000000,528,294.0,669.0,2448,1320.0,Python tools for geographic data.,130.0,31,True,2021-01-25 20:51:26.000000,0.8.2,36.0,geopandas,conda-forge/geopandas,,,['pandas'],8213.0,7047.0,https://pypi.org/project/geopandas,2021-01-25 20:51:23.000000,1166.0,364248.0,378503.0,https://anaconda.org/conda-forge/geopandas,2021-01-25 21:28:29.004000,825969.0,,,,,2.0,858.0,,1.0,,,,,,,,,,,,,,,,,,,,\n78,python-magic,ahupp/python-magic,,data-loading,https://github.com/ahupp/python-magic,https://github.com/ahupp/python-magic,MIT,2010-03-31 22:40:33.000000,2021-01-16 08:38:24.000000,2021-01-16 00:41:01.000000,215,27.0,126.0,1819,275.0,A python wrapper for libmagic.,49.0,31,True,2021-01-16 08:38:24.000000,0.4.20,20.0,python-magic,conda-forge/python-magic,,,,16810.0,11678.0,https://pypi.org/project/python-magic,2021-01-16 08:38:24.000000,5132.0,1189370.0,1191028.0,https://anaconda.org/conda-forge/python-magic,2020-12-24 22:42:00.639000,74626.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n79,numexpr,pydata/numexpr,,data-containers,https://github.com/pydata/numexpr,https://github.com/pydata/numexpr,MIT,2013-11-30 22:33:48.000000,2021-01-13 23:35:13.025000,2021-01-04 20:06:02.000000,161,53.0,247.0,1514,677.0,\"Fast numerical array expression evaluator for Python, NumPy, PyTables, pandas, bcolz and more.\",55.0,31,True,2020-12-29 18:58:07.000000,2.7.2,38.0,numexpr,conda-forge/numexpr,,,,5482.0,,https://pypi.org/project/numexpr,2020-01-05 17:55:57.000000,5482.0,567398.0,607100.0,https://anaconda.org/conda-forge/numexpr,2021-01-13 23:35:13.025000,2104249.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n80,imageio,imageio/imageio,,image,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000000,2021-01-26 20:31:57.000000,2021-01-08 09:05:24.000000,166,65.0,271.0,824,1127.0,Python library for reading and writing image data.,71.0,31,True,2020-07-10 07:45:22.000000,2.9.0,31.0,imageio,conda-forge/imageio,,,,39375.0,35537.0,https://pypi.org/project/imageio,2020-07-06 13:20:41.000000,3838.0,1467999.0,1502255.0,https://anaconda.org/conda-forge/imageio,2020-07-06 14:13:25.518000,1644305.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n81,fastText,facebookresearch/fastText,,nlp,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000000,2021-01-15 15:28:41.000000,2020-07-18 00:20:40.000000,4299,435.0,592.0,22169,379.0,Library for fast text representation and classification.,58.0,30,True,2020-04-28 09:54:50.000000,0.9.2,35.0,fasttext,conda-forge/fasttext,,,,1650.0,1460.0,https://pypi.org/project/fasttext,2020-04-28 09:54:50.000000,190.0,98526.0,98969.0,https://anaconda.org/conda-forge/fasttext,2020-10-12 14:55:45.199000,17311.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n82,zipline,quantopian/zipline,,financial-data,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29.000000,2020-12-18 13:20:06.000000,2020-10-14 16:36:49.000000,3794,332.0,646.0,13196,6226.0,\"Zipline, a Pythonic Algorithmic Trading Library.\",151.0,30,True,2020-10-05 15:46:20.429000,1.4.1,30.0,zipline,,,,,831.0,673.0,https://pypi.org/project/zipline,2020-10-05 15:46:20.429000,158.0,3702.0,3702.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n83,Prophet,facebook/prophet,,time-series-data,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000000,2021-01-27 01:56:07.000000,2021-01-27 01:56:06.000000,3461,79.0,1430.0,12170,615.0,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,126.0,30,True,2020-09-05 16:12:50.000000,0.7.1,14.0,fbprophet,,,,,150.0,,https://pypi.org/project/fbprophet,2020-09-05 16:12:50.000000,150.0,495372.0,495383.0,,,,,,,,1.0,540.0,,,,,,,,,,,,,,,,,,,,,,\n84,fairseq,pytorch/fairseq,,nlp,https://github.com/pytorch/fairseq,https://github.com/pytorch/fairseq,MIT,2017-08-29 16:26:12.000000,2021-01-28 12:32:53.000000,2021-01-27 18:47:20.000000,2800,628.0,1769.0,11095,1725.0,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,287.0,30,True,2021-01-05 20:26:45.000000,0.10.2,13.0,fairseq,,,,['pytorch'],303.0,283.0,https://pypi.org/project/fairseq,2021-01-05 20:26:45.000000,20.0,7569.0,7571.0,,,,,,,,1.0,81.0,,,,,,,,,,,,,,,,,,,,,,\n85,horovod,horovod/horovod,,distributed-ml,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000000,2021-01-28 14:03:19.000000,2021-01-26 13:23:48.000000,1736,264.0,1411.0,10761,854.0,\"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.\",110.0,30,True,2021-01-07 00:00:40.000000,0.21.1,62.0,horovod,,,,,357.0,317.0,https://pypi.org/project/horovod,2021-01-07 00:00:40.000000,40.0,92465.0,92465.0,,,,,,,,2.0,,stable/horovod,,,,,,,,,,,,,,,,,,,,,\n86,flair,flairNLP/flair,,nlp,https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,MIT,2018-06-11 11:04:18.000000,2021-01-28 11:42:16.000000,2021-01-13 11:02:10.000000,1450,102.0,1331.0,9857,3045.0,A very simple framework for state-of-the-art Natural Language Processing (NLP).,160.0,30,True,2020-12-01 19:35:00.000000,0.7,19.0,flair,,,,['pytorch'],650.0,602.0,https://pypi.org/project/flair,2020-12-01 19:02:38.000000,48.0,33744.0,33744.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n87,TFlearn,tflearn/tflearn,,ml-frameworks,https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,MIT,2016-03-31 12:05:53.000000,2021-01-25 09:41:59.000000,2020-11-30 04:34:51.000000,2423,574.0,359.0,9513,613.0,Deep learning library featuring a higher-level API for TensorFlow.,128.0,30,True,2020-11-11 19:26:11.000000,0.5.0,8.0,tflearn,,,,['tensorflow'],3437.0,2956.0,https://pypi.org/project/tflearn,2020-11-11 19:13:47.000000,481.0,9279.0,9279.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n88,Vowpal Wabbit,VowpalWabbit/vowpal_wabbit,,ml-frameworks,https://github.com/VowpalWabbit/vowpal_wabbit,https://github.com/VowpalWabbit/vowpal_wabbit,BSD-3-Clause,2009-07-31 19:36:58.000000,2021-01-27 21:35:44.000000,2021-01-27 21:35:42.000000,1710,163.0,863.0,7414,9007.0,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,298.0,30,True,2021-01-27 21:17:28.000000,8.9.1,13.0,vowpalwabbit,,,,,113.0,97.0,https://pypi.org/project/vowpalwabbit,2020-11-12 14:41:09.000000,16.0,17135.0,17135.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n89,DVC,iterative/dvc,,ml-experiments,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000000,2021-01-28 13:45:59.000000,2021-01-28 12:42:58.000000,678,494.0,2159.0,7170,6259.0,Data Version Control | Git for Data & Models.,205.0,30,True,2021-01-26 02:36:31.000000,1.11.13,292.0,dvc,conda-forge/dvc,,,,600.0,554.0,https://pypi.org/project/dvc,2021-01-26 02:38:37.000000,46.0,45221.0,71606.0,https://anaconda.org/conda-forge/dvc,2021-01-26 05:08:07.950000,445283.0,,,,,1.0,18133.0,,,,,,,,,dvc,dvc,dvc,,,,,,,,,,,\n90,Prefect,PrefectHQ/prefect,,data-pipelines,https://github.com/PrefectHQ/prefect,https://github.com/PrefectHQ/prefect,Apache-2.0,2018-06-29 21:59:26.000000,2021-01-27 23:30:50.000000,2021-01-27 17:58:14.000000,504,220.0,1309.0,5768,13196.0,The easiest way to automate your data.,176.0,30,True,2021-01-26 23:14:08.000000,0.14.5,82.0,prefect,conda-forge/prefect,,,,246.0,244.0,https://pypi.org/project/prefect,2021-01-26 23:14:08.000000,2.0,42775.0,45804.0,https://anaconda.org/conda-forge/prefect,2021-01-27 02:50:26.208000,66650.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n91,SpeechRecognition,Uberi/speech_recognition,,audio,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54.000000,2021-01-11 17:26:33.040000,2019-07-02 17:29:47.000000,1853,201.0,269.0,5383,360.0,\"Speech recognition module for Python, supporting several engines and APIs, online and offline.\",41.0,30,False,2017-12-05 14:05:14.000000,3.8.1,52.0,SpeechRecognition,conda-forge/speechrecognition,,,,7746.0,6658.0,https://pypi.org/project/SpeechRecognition,2017-12-05 13:58:29.000000,1088.0,85354.0,87143.0,https://anaconda.org/conda-forge/speechrecognition,2021-01-11 17:26:33.040000,94865.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n92,Hyperopt,hyperopt/hyperopt,,hyperopt,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59.000000,2021-01-25 15:45:14.000000,2020-12-24 07:20:10.000000,855,331.0,221.0,5379,1168.0,Distributed Asynchronous Hyperparameter Optimization in Python.,84.0,30,True,2020-10-07 09:52:56.000000,0.2.5,11.0,hyperopt,conda-forge/hyperopt,,,,3079.0,2575.0,https://pypi.org/project/hyperopt,2020-10-07 09:52:56.000000,504.0,339419.0,345242.0,https://anaconda.org/conda-forge/hyperopt,2020-10-14 07:57:14.292000,163050.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n93,imbalanced-learn,scikit-learn-contrib/imbalanced-learn,,sklearn-utils,https://github.com/scikit-learn-contrib/imbalanced-learn,https://github.com/scikit-learn-contrib/imbalanced-learn,MIT,2014-08-16 05:08:26.000000,2020-12-23 12:15:04.000000,2020-11-03 21:43:11.000000,1059,46.0,401.0,4989,701.0,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,51.0,30,True,2020-06-09 10:45:32.000000,0.7.0,26.0,imbalanced-learn,conda-forge/imbalanced-learn,,,['sklearn'],4207.0,3927.0,https://pypi.org/project/imbalanced-learn,2020-06-09 10:39:03.000000,280.0,521056.0,523794.0,https://anaconda.org/conda-forge/imbalanced-learn,2020-06-14 14:47:57.352000,106798.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n94,CuPy,cupy/cupy,,gpu-utilities,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000000,2021-01-28 15:18:45.609000,2021-01-28 07:52:13.000000,430,366.0,877.0,4800,20412.0,A NumPy-compatible array library accelerated by CUDA.,253.0,30,True,2021-01-28 05:28:01.000000,8.4.0,87.0,cupy,conda-forge/cupy,cupy/cupy,,,842.0,650.0,https://pypi.org/project/cupy,2021-01-28 01:38:53.000000,192.0,7186.0,31261.0,https://anaconda.org/conda-forge/cupy,2021-01-28 15:18:45.609000,344701.0,https://hub.docker.com/r/cupy/cupy,2021-01-28 07:59:33.149653,6.0,47918.0,1.0,6463.0,,,,,,,,,,,,,,,,,,,,,,\n95,Tesseract,madmaze/pytesseract,,ocr,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000000,2021-01-25 17:49:39.000000,2021-01-25 17:49:33.000000,504,7.0,239.0,3394,358.0,Python-tesseract is an optical character recognition (OCR) tool for python.,36.0,30,True,2020-12-15 05:24:52.000000,0.3.7,24.0,pytesseract,conda-forge/pytesseract,,,,1428.0,,https://pypi.org/project/pytesseract,2020-12-15 05:24:52.000000,1428.0,467939.0,470092.0,https://anaconda.org/conda-forge/pytesseract,2020-11-20 10:05:14.874000,38760.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n96,MLxtend,rasbt/mlxtend,,sklearn-utils,https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16.000000,2021-01-23 20:32:21.000000,2021-01-09 21:38:09.000000,694,101.0,261.0,3304,1152.0,A library of extension and helper modules for Python's data analysis and machine learning libraries.,79.0,30,True,2020-11-26 04:18:15.000000,0.18.0,46.0,mlxtend,conda-forge/mlxtend,,,['sklearn'],2613.0,2423.0,https://pypi.org/project/mlxtend,2020-11-26 04:18:15.000000,190.0,144082.0,147653.0,https://anaconda.org/conda-forge/mlxtend,2020-11-26 05:32:00.667000,149996.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n97,bqplot,bqplot/bqplot,,data-viz,https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18.000000,2021-01-26 16:45:34.000000,2021-01-21 17:18:45.000000,404,182.0,323.0,2994,3216.0,Plotting library for IPython/Jupyter notebooks.,51.0,30,True,2021-01-14 14:22:16.000000,0.12.21,89.0,bqplot,conda-forge/bqplot,,,['jupyter'],1313.0,1191.0,https://pypi.org/project/bqplot,2021-01-14 14:19:33.000000,112.0,12152.0,146484.0,https://anaconda.org/conda-forge/bqplot,2021-01-14 14:38:26.569000,465721.0,,,,,2.0,,,,bqplot,https://www.npmjs.com/package/bqplot,2021-01-14 14:17:47.627000,10.0,126016.0,,,,,,,,,,,,,,,\n98,wandb client,wandb/client,,ml-experiments,https://github.com/wandb/client,https://github.com/wandb/client,MIT,2017-03-24 05:46:23.000000,2021-01-28 15:30:22.000000,2021-01-28 00:40:05.000000,187,240.0,658.0,2674,3771.0,A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.,74.0,30,True,2021-01-24 23:06:34.000000,0.10.15,184.0,wandb,,,,,1977.0,1899.0,https://pypi.org/project/wandb,2021-01-24 23:01:09.000000,78.0,178179.0,178179.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n99,torchtext,pytorch/text,,nlp,https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000000,2021-01-28 12:36:06.000000,2021-01-26 18:46:24.000000,598,263.0,313.0,2633,706.0,Data loaders and abstractions for text and NLP.,104.0,30,True,2020-12-10 17:03:55.000000,0.8.1,12.0,torchtext,,,,['pytorch'],4343.0,3661.0,https://pypi.org/project/torchtext,2020-12-10 16:28:00.000000,682.0,74451.0,74451.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n100,mrjob,Yelp/mrjob,,data-pipelines,https://github.com/Yelp/mrjob,https://github.com/Yelp/mrjob,Apache-2.0,2010-10-13 18:35:21.000000,2020-12-24 22:44:29.424000,2020-11-16 22:20:52.000000,590,199.0,1089.0,2528,8622.0,Run MapReduce jobs on Hadoop or Amazon Web Services.,142.0,30,True,2020-09-17 22:26:01.000000,0.7.4,60.0,mrjob,conda-forge/mrjob,,,,775.0,663.0,https://pypi.org/project/mrjob,2020-09-17 22:26:01.000000,112.0,86270.0,92273.0,https://anaconda.org/conda-forge/mrjob,2020-12-24 22:44:29.424000,312164.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n101,scikit-optimize,scikit-optimize/scikit-optimize,,hyperopt,https://github.com/scikit-optimize/scikit-optimize,https://github.com/scikit-optimize/scikit-optimize,BSD-3-Clause,2016-03-20 21:10:54.000000,2021-01-26 12:57:18.000000,2020-12-31 12:07:52.000000,366,165.0,357.0,2011,1541.0,Sequential model-based optimization with a `scipy.optimize` interface.,68.0,30,True,2020-09-04 09:08:10.000000,0.8.1,22.0,scikit-optimize,conda-forge/scikit-optimize,,,,1485.0,1325.0,https://pypi.org/project/scikit-optimize,2020-09-04 09:08:10.000000,160.0,368492.0,373064.0,https://anaconda.org/conda-forge/scikit-optimize,2020-09-04 09:50:52.372000,192062.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n102,smart-open,RaRe-Technologies/smart_open,,data-loading,https://github.com/RaRe-Technologies/smart_open,https://github.com/RaRe-Technologies/smart_open,MIT,2015-01-02 13:05:52.000000,2021-01-18 12:33:22.000000,2021-01-18 12:01:20.000000,271,51.0,239.0,1909,889.0,\"Utils for streaming large files (S3, HDFS, gzip, bz2...).\",72.0,30,True,2021-01-18 06:44:54.000000,4.1.2,46.0,smart-open,,,,,640.0,,https://pypi.org/project/smart-open,2021-01-18 06:44:54.000000,640.0,6434230.0,6434230.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n103,opencv-python,skvark/opencv-python,,image,https://github.com/opencv/opencv-python,https://github.com/opencv/opencv-python,MIT,2016-04-08 13:36:40.000000,2021-01-03 16:32:34.000000,2020-12-28 18:40:12.000000,306,18.0,373.0,1696,749.0,\"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..\",27.0,30,True,2021-01-03 17:36:16.000000,47,47.0,opencv-python,,,,,12560.0,,https://pypi.org/project/opencv-python,2021-01-02 12:15:05.000000,12560.0,1726882.0,1726882.0,,,,,,,,2.0,,,,,,,,,,,,,opencv/opencv-python,,,,,,,,,,\n104,Rasterio,mapbox/rasterio,,geospatial-data,https://github.com/mapbox/rasterio,https://github.com/mapbox/rasterio,BSD-3-Clause,2013-11-04 16:36:27.000000,2021-01-26 02:00:18.000000,2021-01-25 01:23:10.000000,390,137.0,1202.0,1420,3258.0,Rasterio reads and writes geospatial raster datasets.,106.0,30,True,2021-01-25 14:37:50.000000,1.2.0,121.0,rasterio,conda-forge/rasterio,,,,3506.0,2656.0,https://pypi.org/project/rasterio,2021-01-25 14:37:50.000000,850.0,118704.0,133421.0,https://anaconda.org/conda-forge/rasterio,2021-01-25 20:18:49.736000,853061.0,,,,,2.0,702.0,,,,,,,,,,,,,,,,,,,,,,\n105,SageMaker SDK,aws/sagemaker-python-sdk,,ml-experiments,https://github.com/aws/sagemaker-python-sdk,https://github.com/aws/sagemaker-python-sdk,Apache-2.0,2017-11-14 01:03:33.000000,2021-01-28 04:44:01.000000,2021-01-23 23:35:29.000000,558,207.0,518.0,1302,1822.0,A library for training and deploying machine learning models on Amazon SageMaker.,164.0,30,True,2021-01-23 00:13:49.000000,2.24.0,304.0,sagemaker,,,,\"['mxnet', 'tensorflow']\",603.0,575.0,https://pypi.org/project/sagemaker,2021-01-23 00:13:49.000000,28.0,329436.0,329436.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n106,TF Addons,tensorflow/addons,,tensorflow-utils,https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17.000000,2021-01-27 17:37:13.000000,2021-01-25 22:19:48.000000,421,172.0,618.0,1174,1325.0,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,146.0,30,True,2020-12-23 19:42:08.000000,0.12.0,24.0,tensorflow-addons,,,,['tensorflow'],2117.0,2099.0,https://pypi.org/project/tensorflow-addons,2020-12-23 19:42:08.000000,18.0,191516.0,191516.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n107,Wand,emcconville/wand,,image,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000000,2021-01-21 00:40:18.000000,2021-01-20 17:50:49.000000,183,13.0,319.0,1050,1679.0,The ctypes-based simple ImageMagick binding for Python.,94.0,30,True,2020-11-29 20:47:13.000000,0.6.5,47.0,wand,,,,,4344.0,3174.0,https://pypi.org/project/wand,2020-11-29 20:40:49.000000,1170.0,110803.0,111003.0,,,,,,,,2.0,5203.0,,,,,,,,,,,,,,,,,,,,,,\n108,Nilearn,nilearn/nilearn,,medical-data,https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000000,2021-01-28 13:50:19.000000,2021-01-25 14:40:39.000000,371,378.0,1121.0,696,9291.0,Machine learning for NeuroImaging in Python.,159.0,30,True,2020-11-12 11:44:49.000000,0.7.0,35.0,nilearn,conda-forge/nilearn,,,['sklearn'],1173.0,871.0,https://pypi.org/project/nilearn,2020-11-12 11:44:49.000000,302.0,7007.0,8395.0,https://anaconda.org/conda-forge/nilearn,2020-11-12 13:26:03.600000,77755.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n109,snowballstemmer,snowballstem/snowball,,nlp,https://github.com/snowballstem/snowball,https://github.com/snowballstem/snowball,BSD-3-Clause,2013-02-23 07:17:42.000000,2021-01-23 05:22:20.000000,2021-01-22 23:52:03.000000,133,17.0,42.0,469,842.0,Snowball compiler and stemming algorithms.,25.0,30,True,2021-01-21 11:43:00.000000,2.1.0,9.0,snowballstemmer,conda-forge/snowballstemmer,,,,56318.0,43136.0,https://pypi.org/project/snowballstemmer,2021-01-21 11:43:00.000000,13182.0,2020139.0,2057920.0,https://anaconda.org/conda-forge/snowballstemmer,2021-01-21 23:16:54.597000,2002401.0,,,,,1.0,,,1.0,,,,,,,,,,,,,,,,,,,,\n110,Face Recognition,ageitgey/face_recognition,,image,https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39.000000,2020-12-19 11:44:26.000000,2020-09-26 15:32:59.000000,10581,562.0,528.0,38312,211.0,The world's simplest facial recognition api for Python and the command line.,45.0,29,True,2018-08-21 18:34:21.000000,1.2.3,21.0,face_recognition,,,,['pytorch'],406.0,,https://pypi.org/project/face_recognition,2018-08-21 18:34:21.000000,406.0,22855.0,22864.0,,,,,,,,2.0,438.0,,,,,,,,,,,,,,,,,,,,,,\n111,Magenta,magenta/magenta,,audio,https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40.000000,2021-01-19 21:27:46.000000,2021-01-19 21:27:34.000000,3297,293.0,539.0,16211,1375.0,Magenta: Music and Art Generation with Machine Intelligence.,144.0,29,True,2020-11-12 19:17:18.000000,2.1.3,66.0,magenta,,,,['tensorflow'],300.0,265.0,https://pypi.org/project/magenta,2020-11-12 19:17:18.000000,35.0,3778.0,3778.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n112,PaddlePaddle,PaddlePaddle/Paddle,,ml-frameworks,https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000000,2021-01-28 13:49:48.000000,2021-01-28 12:32:14.000000,3433,2322.0,10388.0,13967,15069.0,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,491.0,29,True,2021-01-25 11:50:59.000000,2.0.0,42.0,paddlepaddle,,,,['paddle'],42.0,26.0,https://pypi.org/project/paddlepaddle,2021-01-25 11:50:59.000000,16.0,4735.0,5022.0,,,,,,,,2.0,15249.0,,,,,,,,,,,,,,,,,,,,,,\n113,Faiss,facebookresearch/faiss,,nn-search,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000000,2021-01-27 20:47:21.000000,2021-01-27 11:37:26.000000,2059,98.0,1261.0,12335,435.0,A library for efficient similarity search and clustering of dense vectors.,75.0,29,True,2021-01-21 05:32:04.000000,0.4.0,44.0,pymilvus,conda-forge/faiss,,,,307.0,301.0,https://pypi.org/project/pymilvus,2021-01-21 05:32:04.000000,6.0,6390.0,9204.0,https://anaconda.org/conda-forge/faiss,2020-12-12 16:36:49.740000,22517.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n114,Turi Create,apple/turicreate,,ml-frameworks,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04.000000,2020-11-18 17:14:31.000000,2020-10-13 23:52:18.000000,1058,465.0,1248.0,10116,1565.0,Turi Create simplifies the development of custom machine learning models.,81.0,29,True,2020-09-30 22:51:40.000000,6.4.1,31.0,turicreate,,,,,254.0,220.0,https://pypi.org/project/turicreate,2020-09-30 22:51:40.000000,34.0,9215.0,9311.0,,,,,,,,2.0,3580.0,,,,,,,,,,,,,,,,,,,,,,\n115,Lime,marcotcr/lime,,interpretability,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10.000000,2021-01-21 09:40:03.000000,2021-01-12 16:12:17.000000,1359,46.0,441.0,8367,508.0,Lime: Explaining the predictions of any machine learning classifier.,57.0,29,True,2020-04-03 22:05:03.000000,0.2.0.0,37.0,lime,conda-forge/lime,,,,1154.0,1026.0,https://pypi.org/project/lime,2020-04-03 22:04:32.000000,128.0,136546.0,137825.0,https://anaconda.org/conda-forge/lime,2020-06-28 01:02:41.538000,62707.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n116,Annoy,spotify/annoy,,nn-search,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40.000000,2021-01-20 15:53:49.000000,2020-12-03 18:21:18.000000,869,27.0,265.0,8075,785.0,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,68.0,29,True,2020-09-18 16:07:59.000000,1.17.0,43.0,annoy,,,,,1783.0,1423.0,https://pypi.org/project/annoy,2020-09-18 16:07:59.000000,360.0,186895.0,186895.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n117,fuzzywuzzy,seatgeek/fuzzywuzzy,,nlp,https://github.com/seatgeek/fuzzywuzzy,https://github.com/seatgeek/fuzzywuzzy,GPL-2.0,2011-07-08 19:32:34.000000,2020-12-19 18:34:54.000000,2020-02-13 22:13:43.000000,795,84.0,96.0,7810,379.0,Fuzzy String Matching in Python.,67.0,29,False,2020-02-13 22:14:12.000000,0.18.0,27.0,fuzzywuzzy,conda-forge/fuzzywuzzy,,,,10958.0,7752.0,https://pypi.org/project/fuzzywuzzy,2020-02-13 21:06:25.000000,3206.0,2624296.0,2629431.0,https://anaconda.org/conda-forge/fuzzywuzzy,2020-11-18 12:59:01.409000,277307.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n118,TPOT,EpistasisLab/tpot,,hyperopt,https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40.000000,2021-01-12 15:06:12.000000,2021-01-06 15:17:46.000000,1358,192.0,584.0,7770,2368.0,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,108.0,29,False,2021-01-06 15:20:08.000000,0.11.7,60.0,tpot,conda-forge/tpot,,,['sklearn'],880.0,800.0,https://pypi.org/project/tpot,2021-01-06 15:20:08.000000,80.0,31753.0,33723.0,https://anaconda.org/conda-forge/tpot,2020-12-14 22:49:13.925000,102454.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n119,TextBlob,sloria/TextBlob,,nlp,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18.000000,2021-01-11 13:19:48.000000,2021-01-11 13:18:33.000000,948,70.0,150.0,7520,535.0,\"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..\",33.0,29,True,2019-02-24 23:03:17.000000,0.15.3,55.0,textblob,conda-forge/textblob,,,,12532.0,10040.0,https://pypi.org/project/textblob,2019-02-24 23:03:17.000000,2492.0,208994.0,211061.0,https://anaconda.org/conda-forge/textblob,2019-02-24 23:32:55.233000,109533.0,,,,,2.0,88.0,,,,,,,,,,,,,,,,,,,,,,\n120,MoviePy,Zulko/moviepy,,image,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000000,2021-01-27 09:20:28.000000,2021-01-27 09:20:26.000000,1021,337.0,699.0,7248,1011.0,Video editing with Python.,137.0,29,True,2020-05-07 16:29:35.000000,1.0.3,84.0,moviepy,conda-forge/moviepy,,,,6968.0,5838.0,https://pypi.org/project/moviepy,2020-10-05 00:26:29.000000,1130.0,99180.0,100906.0,https://anaconda.org/conda-forge/moviepy,2020-02-23 19:57:49.975000,72507.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n121,glfw,glfw/glfw,,image,https://github.com/glfw/glfw,https://github.com/glfw/glfw,Zlib,2013-04-18 15:24:53.000000,2021-01-19 17:35:03.000000,2021-01-18 22:52:27.000000,2631,422.0,990.0,7191,4214.0,\"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.\",168.0,29,False,2020-10-04 13:37:52.000000,2.0.0,37.0,glfw,conda-forge/glfw,,,,214.0,,https://pypi.org/project/glfw,2020-10-04 13:37:52.000000,214.0,13661.0,45831.0,https://anaconda.org/conda-forge/glfw,2020-03-20 11:09:31.058000,22498.0,,,,,2.0,2183465.0,,,,,,,,,,,,,,,,,,,,,,\n122,pandas-profiling,pandas-profiling/pandas-profiling,,data-viz,https://github.com/pandas-profiling/pandas-profiling,https://github.com/pandas-profiling/pandas-profiling,MIT,2016-01-09 23:47:55.000000,2021-01-26 00:27:00.000000,2021-01-12 17:19:32.000000,979,61.0,356.0,6632,736.0,Create HTML profiling reports from pandas DataFrame objects.,65.0,29,True,2020-09-03 10:11:24.000000,2.9.0,25.0,pandas-profiling,conda-forge/pandas-profiling,,,\"['jupyter', 'pandas']\",3092.0,2932.0,https://pypi.org/project/pandas-profiling,2020-09-03 10:11:24.000000,160.0,148316.0,150182.0,https://anaconda.org/conda-forge/pandas-profiling,2021-01-09 04:39:21.551000,98944.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n123,Datasets,huggingface/datasets,,data-loading,https://github.com/huggingface/datasets,https://github.com/huggingface/datasets,Apache-2.0,2020-03-26 09:23:22.000000,2021-01-28 13:56:30.000000,2021-01-28 13:56:29.000000,693,193.0,327.0,6607,1271.0,\"The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools.\",211.0,29,True,2021-01-13 15:29:57.000000,1.2.1,13.0,datasets,,,,,311.0,293.0,https://pypi.org/project/datasets,2021-01-04 18:33:23.000000,18.0,21134.0,21134.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n124,Modin,modin-project/modin,,data-containers,https://github.com/modin-project/modin,https://github.com/modin-project/modin,Apache-2.0,2018-06-21 21:35:05.000000,2021-01-28 14:54:28.000000,2021-01-28 14:54:27.000000,384,417.0,1075.0,5668,1236.0,Modin: Speed up your Pandas workflows by changing a single line of code.,66.0,29,True,2021-01-12 14:40:18.000000,0.8.3,36.0,modin,,,,['pandas'],309.0,291.0,https://pypi.org/project/modin,2021-01-12 14:40:18.000000,18.0,58609.0,65114.0,,,,,,,,2.0,195152.0,,,,,,,,,,,,,,,,,,,,,,\n125,Autograd,HIPS/autograd,,others,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23.000000,2020-12-28 18:04:28.000000,2019-11-18 14:32:40.000000,712,161.0,216.0,5105,1375.0,Efficiently computes derivatives of numpy code.,51.0,29,False,2017-08-24 17:00:41.000000,1.1.13,24.0,autograd,conda-forge/autograd,,,,1785.0,1441.0,https://pypi.org/project/autograd,2019-07-25 16:21:07.000000,344.0,393556.0,396442.0,https://anaconda.org/conda-forge/autograd,2019-07-25 18:29:55.493000,152978.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n126,Pydub,jiaaro/pydub,,audio,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38.000000,2021-01-21 17:21:55.000000,2021-01-18 04:33:23.000000,692,177.0,233.0,5065,726.0,Manipulate audio with a simple and easy high level interface.,80.0,29,True,2020-06-03 15:23:56.000000,0.24.1,66.0,pydub,conda-forge/pydub,,,,7142.0,5788.0,https://pypi.org/project/pydub,2020-06-03 15:23:56.000000,1354.0,110706.0,111201.0,https://anaconda.org/conda-forge/pydub,2019-02-02 16:23:09.348000,12393.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n127,UMAP,lmcinnes/umap,,data-viz,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17.000000,2021-01-27 21:33:23.000000,2021-01-27 21:33:17.000000,477,205.0,220.0,4455,1303.0,Uniform Manifold Approximation and Projection.,69.0,29,True,2021-01-11 21:28:26.000000,0.5.0,34.0,umap-learn,,,,,226.0,,https://pypi.org/project/umap-learn,2021-01-11 21:28:26.000000,226.0,111683.0,111683.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n128,PyOD,yzhao062/pyod,,others,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04.000000,2021-01-17 01:54:30.000000,2021-01-12 18:33:37.000000,845,101.0,84.0,4099,1245.0,(JMLR'19) A Python Toolbox for Scalable Outlier Detection (Anomaly Detection).,22.0,29,True,2021-01-12 18:42:49.000000,0.8.6,64.0,pyod,,,,,472.0,466.0,https://pypi.org/project/pyod,2021-01-12 18:42:49.000000,6.0,63599.0,63599.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n129,yfinance,ranaroussi/yfinance,,financial-data,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000000,2021-01-23 15:20:41.000000,2021-01-18 14:16:47.000000,1030,316.0,172.0,4005,247.0,Yahoo! Finance market data downloader (+faster Pandas Datareader).,28.0,29,True,2020-10-05 12:19:44.000000,0.1.55,20.0,yfinance,ranaroussi/yfinance,,,,2836.0,2810.0,https://pypi.org/project/yfinance,2020-10-05 12:19:44.000000,26.0,89059.0,90961.0,https://anaconda.org/ranaroussi/yfinance,2019-12-27 21:30:44.606000,32336.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n130,TinyDB,msiemens/tinydb,,data-containers,https://github.com/msiemens/tinydb,https://github.com/msiemens/tinydb,MIT,2013-07-12 23:31:13.000000,2021-01-23 15:29:31.000000,2021-01-23 15:29:24.000000,366,8.0,240.0,3978,604.0,TinyDB is a lightweight document oriented database optimized for your happiness :).,62.0,29,True,2020-11-14 21:02:31.000000,4.3.0,58.0,tinydb,conda-forge/tinydb,,,,1118.0,,https://pypi.org/project/tinydb,2020-11-14 21:02:29.000000,1118.0,127032.0,128857.0,https://anaconda.org/conda-forge/tinydb,2020-11-14 22:52:17.151000,100386.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n131,kaggle,Kaggle/kaggle-api,,ml-experiments,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000000,2021-01-21 01:19:19.873000,2020-11-30 21:43:14.000000,770,165.0,108.0,3806,137.0,Official Kaggle API.,35.0,29,True,2020-11-30 13:37:18.000000,1.5.10,47.0,kaggle,conda-forge/kaggle,,,,4959.0,4395.0,https://pypi.org/project/kaggle,2020-11-30 13:37:18.000000,564.0,114983.0,117005.0,https://anaconda.org/conda-forge/kaggle,2021-01-21 01:19:19.873000,40442.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n132,sacred,IDSIA/sacred,,ml-experiments,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29.000000,2021-01-18 13:36:24.000000,2021-01-12 12:37:55.000000,314,92.0,399.0,3278,1300.0,\"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.\",91.0,29,True,2020-12-14 15:21:05.000000,0.8.2,27.0,sacred,,,,,937.0,783.0,https://pypi.org/project/sacred,2020-12-14 15:21:05.000000,154.0,10675.0,10675.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n133,Koalas,databricks/koalas,,data-containers,https://github.com/databricks/koalas,https://github.com/databricks/koalas,Apache-2.0,2019-01-03 21:46:54.000000,2021-01-28 06:00:15.000000,2021-01-28 05:20:38.000000,298,92.0,422.0,2604,1447.0,Koalas: pandas API on Apache Spark.,47.0,29,True,2021-01-22 09:42:01.000000,1.6.0,43.0,koalas,conda-forge/koalas,,,\"['spark', 'pandas']\",74.0,72.0,https://pypi.org/project/koalas,2021-01-22 09:42:01.000000,2.0,672822.0,676619.0,https://anaconda.org/conda-forge/koalas,2021-01-22 12:57:15.187000,75059.0,,,,,2.0,996.0,,,,,,,,,,,,,,,,,,,,,,\n134,dbt,fishtown-analytics/dbt,,data-pipelines,https://github.com/fishtown-analytics/dbt,https://github.com/fishtown-analytics/dbt,Apache-2.0,2016-03-10 02:38:00.000000,2021-01-27 22:16:29.000000,2021-01-27 22:16:13.000000,483,268.0,1439.0,2435,2481.0,dbt (data build tool) enables data analysts and engineers to transform their data using the same practices that..,133.0,29,True,2021-01-27 18:24:45.000000,0.19.0,143.0,dbt,conda-forge/dbt,,,,197.0,179.0,https://pypi.org/project/dbt,2021-01-27 18:03:11.000000,18.0,95456.0,98430.0,https://anaconda.org/conda-forge/dbt,2020-05-14 13:55:32.153000,148745.0,,,,,2.0,,,1.0,,,,,,,dbt,,,,,,,,,,,,,\n135,PyQtGraph,pyqtgraph/pyqtgraph,,data-viz,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21.000000,2021-01-28 09:59:19.000000,2021-01-27 23:49:04.000000,806,286.0,455.0,2282,2397.0,Fast data visualization and GUI tools for scientific / engineering applications.,180.0,29,True,2020-12-20 02:41:29.000000,pyqtgraph-0.11.1,12.0,pyqtgraph,conda-forge/pyqtgraph,,,,890.0,,https://pypi.org/project/pyqtgraph,2020-12-20 02:43:22.000000,890.0,23592.0,26914.0,https://anaconda.org/conda-forge/pyqtgraph,2020-12-20 05:06:42.442000,159483.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n136,hmmlearn,hmmlearn/hmmlearn,,probabilistics,https://github.com/hmmlearn/hmmlearn,https://github.com/hmmlearn/hmmlearn,BSD-3-Clause,2014-03-23 10:33:09.000000,2021-01-27 18:18:51.000000,2021-01-27 18:18:03.000000,603,66.0,276.0,2167,350.0,\"Hidden Markov Models in Python, with scikit-learn like API.\",32.0,29,True,2020-09-12 15:19:20.000000,0.2.4,6.0,hmmlearn,conda-forge/hmmlearn,,,['sklearn'],1071.0,865.0,https://pypi.org/project/hmmlearn,2020-09-12 15:19:20.000000,206.0,99075.0,101357.0,https://anaconda.org/conda-forge/hmmlearn,2021-01-22 00:32:31.425000,59356.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n137,pandas-datareader,pydata/pandas-datareader,,data-loading,https://github.com/pydata/pandas-datareader,https://github.com/pydata/pandas-datareader,BSD-3-Clause,2015-01-15 00:34:19.000000,2021-01-27 10:30:22.000000,2020-12-31 11:58:23.000000,500,74.0,370.0,1832,764.0,Extract data from a wide range of Internet sources into a pandas DataFrame.,77.0,29,True,2020-07-10 10:04:14.000000,0.9.0,21.0,pandas-datareader,conda-forge/pandas-datareader,,,['pandas'],9011.0,7605.0,https://pypi.org/project/pandas-datareader,2020-07-10 10:04:14.000000,1406.0,98087.0,100052.0,https://anaconda.org/conda-forge/pandas-datareader,2019-11-20 10:38:42.074000,88469.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n138,HoloViews,holoviz/holoviews,,data-viz,https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000000,2021-01-28 14:23:31.000000,2021-01-28 14:22:57.000000,299,674.0,1816.0,1794,10121.0,\"With Holoviews, your data visualizes itself.\",101.0,29,True,2021-01-27 18:07:05.000000,1.14.1,60.0,holoviews,conda-forge/holoviews,,,['jupyter'],170.0,,https://pypi.org/project/holoviews,2020-12-27 23:53:28.000000,170.0,67487.0,82071.0,https://anaconda.org/conda-forge/holoviews,2020-12-28 13:23:01.410000,408306.0,,,,,2.0,,,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,2020-05-24 13:49:54.205000,,7293.0,,,,,,,,,,,,,,,\n139,Lifelines,CamDavidsonPilon/lifelines,,medical-data,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42.000000,2021-01-22 15:03:27.000000,2021-01-22 15:02:15.000000,411,189.0,588.0,1538,2084.0,Survival analysis in Python.,90.0,29,True,2021-01-22 15:03:27.000000,0.25.8,153.0,lifelines,conda-forge/lifelines,,,,612.0,486.0,https://pypi.org/project/lifelines,2021-01-22 15:03:27.000000,126.0,90877.0,93116.0,https://anaconda.org/conda-forge/lifelines,2020-12-10 02:47:14.864000,123169.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n140,Geocoder,DenisCarriere/geocoder,,geospatial-data,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21.000000,2020-12-30 04:09:42.000000,2018-10-12 15:53:05.000000,252,64.0,215.0,1322,1251.0,Python Geocoder.,74.0,29,False,2018-04-04 12:34:51.000000,1.38.1,108.0,geocoder,conda-forge/geocoder,,,,3562.0,2986.0,https://pypi.org/project/geocoder,2018-04-04 12:34:51.000000,576.0,197079.0,198921.0,https://anaconda.org/conda-forge/geocoder,2019-06-27 16:40:50.469000,86619.0,,,,,2.0,,,,,,,,,,,,,,geocoder,,,,,,,,,\n141,torchaudio,pytorch/audio,,audio,https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000000,2021-01-28 12:41:33.000000,2021-01-27 17:59:03.000000,266,152.0,252.0,1206,676.0,\"Data manipulation and transformation for audio signal processing, powered by PyTorch.\",86.0,29,True,2020-12-10 17:02:20.000000,0.7.2,11.0,torchaudio,,,,['pytorch'],1312.0,1303.0,https://pypi.org/project/torchaudio,2020-10-27 16:14:57.000000,9.0,61981.0,61981.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n142,Graphviz,xflr6/graphviz,,data-viz,https://github.com/xflr6/graphviz,https://github.com/xflr6/graphviz,MIT,2014-01-12 17:49:29.000000,2021-01-22 09:02:12.000000,2021-01-18 19:38:58.000000,140,5.0,96.0,906,450.0,Simple Python interface for Graphviz.,16.0,29,True,2020-10-07 09:06:41.000000,0.14.2,47.0,graphviz,,,,,21547.0,17165.0,https://pypi.org/project/graphviz,2020-12-24 16:17:24.000000,4382.0,2053314.0,2053314.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n143,TensorFlow Transform,tensorflow/transform,,tensorflow-utils,https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53.000000,2021-01-28 13:51:14.000000,2021-01-28 13:51:06.000000,165,32.0,115.0,850,576.0,Input pipeline framework.,27.0,29,True,2021-01-27 23:13:00.000000,0.27.0,33.0,tensorflow-transform,,,,['tensorflow'],485.0,401.0,https://pypi.org/project/tensorflow-transform,2020-12-16 21:35:23.000000,84.0,5607334.0,5607334.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n144,snakemake,snakemake/snakemake,,ml-experiments,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867000,2021-01-26 15:17:38.000000,2021-01-24 21:52:24.000000,186,323.0,206.0,830,3953.0,\"This is the development home of the workflow management system Snakemake. For general information, see.\",195.0,29,True,2021-01-15 13:36:23.000000,5.32.0,159.0,snakemake,bioconda/snakemake,,,,1019.0,731.0,https://pypi.org/project/snakemake,2021-01-15 13:37:08.000000,288.0,7565.0,11865.0,https://anaconda.org/bioconda/snakemake,2021-01-20 23:07:32.614000,270956.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n145,Fiona,Toblerity/Fiona,,geospatial-data,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00.000000,2021-01-27 02:46:08.000000,2020-11-30 07:11:40.000000,165,69.0,546.0,774,1093.0,Fiona reads and writes geographic data files.,65.0,29,True,2020-11-17 18:32:17.000000,1.8.18,96.0,fiona,conda-forge/fiona,,,,6102.0,4914.0,https://pypi.org/project/fiona,2020-11-17 18:32:17.000000,1188.0,408491.0,437151.0,https://anaconda.org/conda-forge/fiona,2020-11-17 20:48:12.542000,1662291.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n146,Bottleneck,pydata/bottleneck,,data-containers,https://github.com/pydata/bottleneck,https://github.com/pydata/bottleneck,BSD-2-Clause,2010-11-27 23:21:22.000000,2021-01-24 18:54:13.000000,2021-01-24 18:39:03.000000,65,23.0,177.0,572,1241.0,Fast NumPy array functions written in C.,21.0,29,True,2020-02-21 06:22:16.000000,1.3.2,21.0,Bottleneck,conda-forge/bottleneck,,,,21382.0,18490.0,https://pypi.org/project/Bottleneck,2020-02-21 06:22:16.000000,2892.0,161301.0,186054.0,https://anaconda.org/conda-forge/bottleneck,2021-01-21 02:48:32.623000,1386222.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n147,pyproj,pyproj4/pyproj,,geospatial-data,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000000,2021-01-08 01:17:08.000000,2021-01-08 01:15:13.000000,147,6.0,375.0,565,1099.0,Python interface to PROJ (cartographic projections and coordinate transformations library).,39.0,29,True,2020-11-05 13:39:29.000000,3.0.0.post1,34.0,pyproj,conda-forge/pyproj,,,,10783.0,8321.0,https://pypi.org/project/pyproj,2020-11-05 14:28:45.000000,2462.0,969045.0,1000063.0,https://anaconda.org/conda-forge/pyproj,2020-11-06 22:55:31.654000,1892146.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n148,NIPYPE,nipy/nipype,,medical-data,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000000,2021-01-11 05:49:22.000000,2020-12-08 17:16:40.000000,439,312.0,873.0,546,14049.0,Workflows and interfaces for neuroimaging packages.,212.0,29,True,2020-09-17 18:44:32.000000,1.5.1,54.0,nipype,conda-forge/nipype,,,,697.0,505.0,https://pypi.org/project/nipype,2020-08-16 18:30:16.000000,192.0,8724.0,15180.0,https://anaconda.org/conda-forge/nipype,2020-11-28 17:44:51.813000,348661.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n149,NiBabel,nipy/nibabel,,medical-data,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30.000000,2021-01-17 18:44:58.000000,2021-01-17 17:02:03.000000,209,109.0,285.0,385,4939.0,Python package to access a cacophony of neuro-imaging file formats.,89.0,29,True,2020-11-28 22:19:50.000000,3.2.1,32.0,nibabel,conda-forge/nibabel,,,,4837.0,3573.0,https://pypi.org/project/nibabel,2020-11-28 22:18:23.000000,1264.0,40079.0,45335.0,https://anaconda.org/conda-forge/nibabel,2020-11-29 03:40:05.178000,294390.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n150,baselines,openai/baselines,,reinforcement-learning,https://github.com/openai/baselines,https://github.com/openai/baselines,MIT,2017-05-24 01:58:13.000000,2021-01-02 22:20:03.000000,2020-01-31 13:06:18.000000,3836,452.0,423.0,11076,347.0,OpenAI Baselines: high-quality implementations of reinforcement learning algorithms.,114.0,28,True,2018-02-26 17:07:07.000000,0.1.5,6.0,baselines,,,,,319.0,282.0,https://pypi.org/project/baselines,2018-02-26 17:07:07.000000,37.0,26706.0,26706.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n151,Rasa,RasaHQ/rasa,,nlp,https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49.000000,2021-01-28 12:04:47.000000,2021-01-28 11:56:25.000000,3276,597.0,4427.0,10617,,\"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..\",457.0,28,True,2021-01-28 12:06:50.000000,2.2.8,179.0,rasa,,,,['tensorflow'],64.0,,https://pypi.org/project/rasa,2021-01-25 15:09:26.000000,64.0,61869.0,61869.0,,,,,,,,2.0,,,-4.0,,,,,,,,,,,,,,,,,,,,\n152,PyTorch Geometric,rusty1s/pytorch_geometric,,graph,https://github.com/rusty1s/pytorch_geometric,https://github.com/rusty1s/pytorch_geometric,MIT,2017-10-06 16:03:03.000000,2021-01-28 08:46:29.000000,2021-01-20 07:38:57.000000,1717,688.0,1097.0,10074,4076.0,Geometric Deep Learning Extension Library for PyTorch.,137.0,28,True,2020-12-02 14:57:09.000000,1.6.3,25.0,torch-geometric,,,,['pytorch'],24.0,,https://pypi.org/project/torch-geometric,2020-11-27 07:18:41.000000,24.0,10879.0,10879.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n153,Sonnet,deepmind/sonnet,,ml-frameworks,https://github.com/deepmind/sonnet,https://github.com/deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35.000000,2020-11-30 02:35:15.000000,2020-10-08 10:01:11.000000,1257,18.0,135.0,8718,545.0,TensorFlow-based neural network library.,48.0,28,True,2020-03-27 10:36:19.000000,2.0.0,27.0,dm-sonnet,conda-forge/sonnet,,,['tensorflow'],574.0,492.0,https://pypi.org/project/dm-sonnet,2020-03-27 10:36:10.000000,82.0,33823.0,34324.0,https://anaconda.org/conda-forge/sonnet,2020-11-14 18:13:23.843000,7019.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n154,Albumentations,albumentations-team/albumentations,,image,https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000000,2021-01-27 11:17:46.000000,2021-01-27 06:35:32.000000,922,176.0,235.0,7160,616.0,Fast image augmentation library and easy to use wrapper around other libraries. Documentation:..,72.0,28,True,2020-11-29 14:30:07.000000,0.5.2,44.0,albumentations,conda-forge/albumentations,,,['pytorch'],2742.0,2614.0,https://pypi.org/project/albumentations,2020-11-29 14:30:07.000000,128.0,50173.0,50929.0,https://anaconda.org/conda-forge/albumentations,2020-11-29 15:51:47.610000,14364.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n155,Pyro,pyro-ppl/pyro,,probabilistics,https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000000,2021-01-28 14:42:52.000000,2021-01-26 16:28:37.000000,785,130.0,680.0,6705,2138.0,Deep universal probabilistic programming with Python and PyTorch.,103.0,28,True,2020-11-17 23:30:42.000000,1.5.1,24.0,pyro-ppl,,,,['pytorch'],402.0,366.0,https://pypi.org/project/pyro-ppl,2020-11-17 23:22:46.000000,36.0,8779.0,8779.0,,,,,,,,2.0,,,1.0,,,,,,,,,,,,,,,,,,,,\n156,tensorpack,tensorpack/tensorpack,,ml-frameworks,https://github.com/tensorpack/tensorpack,https://github.com/tensorpack/tensorpack,Apache-2.0,2015-12-25 23:08:44.000000,2021-01-22 08:44:03.000000,2021-01-22 08:43:22.000000,1760,14.0,1297.0,5910,2928.0,\"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.\",55.0,28,True,2020-04-24 19:01:06.000000,0.10.1,37.0,tensorpack,,,,['tensorflow'],747.0,671.0,https://pypi.org/project/tensorpack,2021-01-22 08:44:03.000000,76.0,49346.0,49348.0,,,,,,,,3.0,111.0,,,,,,,,,,,,,,,,,,,,,,\n157,faust,robinhood/faust,,data-pipelines,https://github.com/robinhood/faust,https://github.com/robinhood/faust,BSD-3-Clause,2017-03-08 18:36:11.000000,2021-01-21 01:53:26.000000,2020-10-09 12:59:42.000000,435,233.0,221.0,5248,4137.0,Python Stream Processing.,91.0,28,True,2020-02-25 22:57:18.000000,1.10.4,46.0,faust,,,,,638.0,610.0,https://pypi.org/project/faust,2020-02-25 22:57:18.000000,28.0,59907.0,59907.0,,,,,,,,2.0,,,1.0,,,,,,,,,,,,,,,,,,,,\n158,stanza,stanfordnlp/stanza,,nlp,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56.000000,2021-01-27 23:07:06.000000,2021-01-27 23:00:47.000000,647,60.0,396.0,5137,1846.0,Official Stanford NLP Python Library for Many Human Languages.,32.0,28,True,2020-08-13 06:26:20.000000,1.1.1,10.0,stanza,stanfordnlp/stanza,,,,311.0,307.0,https://pypi.org/project/stanza,2021-01-27 16:31:43.000000,4.0,11709.0,12014.0,https://anaconda.org/stanfordnlp/stanza,2021-01-27 22:24:06.992000,3059.0,,,,,2.0,,,4.0,,,,,,,,,,,,,,,,,,,,\n159,OpenNMT,OpenNMT/OpenNMT-py,,nlp,https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000000,2021-01-28 11:40:17.000000,2021-01-28 11:40:16.000000,1768,90.0,1126.0,4792,2545.0,Open Source Neural Machine Translation in PyTorch.,165.0,28,True,2021-01-27 09:22:31.000000,2.0.1,28.0,OpenNMT-py,,,,['pytorch'],71.0,67.0,https://pypi.org/project/OpenNMT-py,2021-01-27 09:22:31.000000,4.0,3332.0,3332.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n160,csvkit,wireservice/csvkit,,data-loading,https://github.com/wireservice/csvkit,https://github.com/wireservice/csvkit,MIT,2011-04-01 03:00:30.000000,2021-01-25 19:13:27.000000,2020-10-30 01:59:29.000000,535,56.0,743.0,4459,1693.0,\"A suite of utilities for converting to and working with CSV, the king of tabular file formats.\",91.0,28,True,2020-03-03 03:00:28.000000,1.0.5,33.0,csvkit,conda-forge/csvkit,,,,1516.0,814.0,https://pypi.org/project/csvkit,2020-03-03 03:00:28.000000,702.0,21876.0,22855.0,https://anaconda.org/conda-forge/csvkit,2019-05-28 12:30:50.171000,45064.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n161,Tokenizers,huggingface/tokenizers,,nlp,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000000,2021-01-27 07:42:37.000000,2021-01-12 21:47:56.000000,309,80.0,292.0,4196,1427.0,Fast State-of-the-Art Tokenizers optimized for Research and Production.,40.0,28,True,2021-01-12 21:50:02.000000,0.10.0,58.0,tokenizers,conda-forge/tokenizers,,,,25.0,25.0,https://pypi.org/project/tokenizers,2021-01-12 21:50:02.000000,0.0,707299.0,710590.0,https://anaconda.org/conda-forge/tokenizers,2020-11-19 06:02:47.112000,19746.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n162,DEAP,deap/deap,,distributed-ml,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39.000000,2021-01-18 16:32:46.000000,2020-12-25 17:33:18.000000,839,166.0,222.0,4052,2147.0,Distributed Evolutionary Algorithms in Python.,67.0,28,False,2020-01-21 01:18:06.000000,1.3.1,16.0,deap,conda-forge/deap,,,,2058.0,1576.0,https://pypi.org/project/deap,2020-01-21 01:18:06.000000,482.0,70718.0,72714.0,https://anaconda.org/conda-forge/deap,2021-01-13 14:43:13.393000,109794.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n163,sentence-transformers,UKPLab/sentence-transformers,,nlp,https://github.com/UKPLab/sentence-transformers,https://github.com/UKPLab/sentence-transformers,Apache-2.0,2019-07-24 10:53:51.000000,2021-01-27 09:50:47.000000,2021-01-27 09:50:42.000000,754,302.0,353.0,4024,604.0,Sentence Embeddings with BERT & XLNet.,39.0,28,True,2021-01-04 14:04:01.000000,0.4.1,29.0,sentence-transformers,,,,['pytorch'],594.0,594.0,https://pypi.org/project/sentence-transformers,2021-01-04 15:49:09.000000,0.0,189174.0,189174.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n164,Kornia,kornia/kornia,,image,https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000000,2021-01-28 14:31:41.000000,2021-01-28 14:31:39.000000,347,103.0,247.0,3542,1492.0,Open Source Differentiable Computer Vision Library for PyTorch.,83.0,28,True,2020-10-20 19:31:49.000000,0.4.1,12.0,kornia,,,,['pytorch'],248.0,248.0,https://pypi.org/project/kornia,2020-10-20 19:31:49.000000,0.0,13104.0,13104.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n165,imutils,jrosebr1/imutils,,image,https://github.com/jrosebr1/imutils,https://github.com/jrosebr1/imutils,MIT,2015-01-11 20:05:39.000000,2021-01-15 17:56:11.000000,2021-01-15 10:46:45.000000,871,127.0,76.0,3491,138.0,\"A series of convenience functions to make basic image processing operations such as translation, rotation, resizing,..\",20.0,28,True,2021-01-15 10:53:17.000000,0.5.4,29.0,imutils,conda-forge/imutils,,,,13012.0,11816.0,https://pypi.org/project/imutils,2021-01-15 10:53:17.000000,1196.0,124810.0,126671.0,https://anaconda.org/conda-forge/imutils,2021-01-15 14:27:25.471000,35363.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n166,Kedro,quantumblacklabs/kedro,,data-pipelines,https://github.com/quantumblacklabs/kedro,https://github.com/quantumblacklabs/kedro,Apache-2.0,2019-04-18 10:29:56.000000,2021-01-28 15:04:58.000000,2021-01-28 14:26:34.000000,385,87.0,343.0,3340,1132.0,\"A Python framework for creating reproducible, maintainable and modular data science code.\",94.0,28,True,2020-12-17 13:31:56.000000,0.17.0,24.0,kedro,,,,,386.0,370.0,https://pypi.org/project/kedro,2020-12-17 13:31:56.000000,16.0,46466.0,46466.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n167,dyNET,clab/dynet,,ml-frameworks,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21.000000,2021-01-27 15:43:17.000000,2021-01-27 15:43:03.000000,692,255.0,660.0,3177,3267.0,DyNet: The Dynamic Neural Network Toolkit.,156.0,28,True,2020-10-21 14:31:01.000000,2.1.2,24.0,dyNET,,,,,204.0,166.0,https://pypi.org/project/dyNET,2020-10-21 14:31:01.000000,38.0,4425.0,4457.0,,,,,,,,3.0,1642.0,,,,,,,,,,,,,,,,,,,,,,\n168,Blaze,blaze/blaze,,data-containers,https://github.com/blaze/blaze,https://github.com/blaze/blaze,BSD-3-Clause,2012-10-26 14:25:22.000000,2020-02-01 19:33:09.000000,2019-08-15 21:14:59.000000,373,262.0,500.0,2921,7496.0,NumPy and Pandas interface to Big Data.,64.0,28,False,2016-07-19 20:40:03.000000,0.11.0,14.0,blaze,conda-forge/blaze,,,,7928.0,7440.0,https://pypi.org/project/blaze,2016-05-06 21:19:21.000000,488.0,8338.0,12919.0,https://anaconda.org/conda-forge/blaze,2018-07-15 22:16:17.685000,187826.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n169,Dedupe,dedupeio/dedupe,,nlp,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36.000000,2021-01-15 22:45:06.000000,2021-01-15 22:44:19.000000,402,52.0,572.0,2886,2793.0,\"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.\",55.0,28,True,2020-09-02 00:17:19.000000,2.0.6,157.0,dedupe,,,,,254.0,176.0,https://pypi.org/project/dedupe,2020-09-06 01:50:45.000000,78.0,39410.0,39410.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n170,PyCaret,pycaret/pycaret,,ml-experiments,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000000,2021-01-27 17:16:26.000000,2021-01-27 15:35:23.000000,604,156.0,555.0,2884,1650.0,\"An open-source, low-code machine learning library in Python.\",46.0,28,True,2020-12-22 22:10:30.000000,2.2.3,68.0,pycaret,,,,,629.0,629.0,https://pypi.org/project/pycaret,2020-12-22 22:10:30.000000,0.0,20343.0,20402.0,,,,,,,,2.0,355.0,,,,,,,,,,,,,,,,,,,,,,\n171,phonenumbers,daviddrysdale/python-phonenumbers,,nlp,https://github.com/daviddrysdale/python-phonenumbers,https://github.com/daviddrysdale/python-phonenumbers,Apache-2.0,2011-04-21 03:06:38.000000,2021-01-27 19:06:03.000000,2021-01-27 18:58:40.000000,328,3.0,112.0,2614,,Python port of Google's libphonenumber.,22.0,28,True,2021-01-27 19:06:03.000000,8.12.17,168.0,phonenumbers,conda-forge/phonenumbers,,,,2280.0,,https://pypi.org/project/phonenumbers,2021-01-27 19:06:03.000000,2280.0,602937.0,609693.0,https://anaconda.org/conda-forge/phonenumbers,2019-08-04 21:19:59.322000,371617.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n172,VisPy,vispy/vispy,,data-viz,https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22.000000,2021-01-27 15:23:17.000000,2021-01-27 15:23:16.000000,535,354.0,786.0,2567,6422.0,High-performance interactive 2D/3D data visualization library.,145.0,28,True,2020-12-14 15:55:00.000000,0.6.6,16.0,vispy,conda-forge/vispy,,,['jupyter'],571.0,449.0,https://pypi.org/project/vispy,2020-11-28 02:55:50.000000,122.0,12274.0,15454.0,https://anaconda.org/conda-forge/vispy,2021-01-13 03:28:46.609000,119287.0,,,,,2.0,,,,vispy,https://www.npmjs.com/package/vispy,2020-03-15 14:39:41.516000,,122.0,,,,,,,,,,,,,,,\n173,plotnine,has2k1/plotnine,,data-viz,https://github.com/has2k1/plotnine,https://github.com/has2k1/plotnine,GPL-2.0,2017-04-24 19:00:44.000000,2021-01-18 09:55:40.000000,2021-01-06 10:16:20.000000,128,54.0,350.0,2512,1673.0,A grammar of graphics for Python.,81.0,28,False,2020-08-05 20:10:30.000000,0.7.1,10.0,plotnine,conda-forge/plotnine,,,,1622.0,1495.0,https://pypi.org/project/plotnine,2020-08-05 18:55:16.000000,127.0,87987.0,89990.0,https://anaconda.org/conda-forge/plotnine,2020-08-06 19:52:38.810000,88170.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n174,datashader,holoviz/datashader,,data-viz,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000000,2021-01-17 16:07:43.000000,2021-01-17 16:07:42.000000,311,144.0,320.0,2408,1282.0,Quickly and accurately render even the largest data.,43.0,28,True,2021-01-07 16:14:43.000000,0.12.0,22.0,datashader,conda-forge/datashader,,,,638.0,568.0,https://pypi.org/project/datashader,2021-01-07 16:14:43.000000,70.0,9413.0,12972.0,https://anaconda.org/conda-forge/datashader,2021-01-08 10:17:48.622000,135265.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n175,sklearn-pandas,scikit-learn-contrib/sklearn-pandas,,data-containers,https://github.com/scikit-learn-contrib/sklearn-pandas,https://github.com/scikit-learn-contrib/sklearn-pandas,Zlib,2013-04-22 22:55:20.000000,2021-01-06 16:30:51.000000,2021-01-06 16:28:10.000000,387,30.0,117.0,2316,269.0,Pandas integration with sklearn.,35.0,28,False,2021-01-06 16:30:51.000000,2.0.4,24.0,sklearn-pandas,,,,\"['sklearn', 'pandas']\",1904.0,1682.0,https://pypi.org/project/sklearn-pandas,2020-11-07 02:30:27.000000,222.0,102047.0,102047.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n176,GPyTorch,cornellius-gp/gpytorch,,probabilistics,https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000000,2021-01-27 16:19:30.000000,2021-01-22 16:34:27.000000,318,210.0,631.0,2265,3238.0,A highly efficient and modular implementation of Gaussian Processes in PyTorch.,66.0,28,True,2021-01-19 22:18:43.000000,1.3.1,25.0,gpytorch,,,,['pytorch'],199.0,191.0,https://pypi.org/project/gpytorch,2021-01-19 22:09:01.000000,8.0,27258.0,27258.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n177,NMSLIB,nmslib/nmslib,,nn-search,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06.000000,2021-01-25 18:03:08.000000,2021-01-25 17:41:25.000000,334,46.0,312.0,2262,1483.0,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,44.0,28,True,2021-01-08 12:37:37.000000,2.0.16,29.0,nmslib,conda-forge/nmslib,,,,367.0,315.0,https://pypi.org/project/nmslib,2021-01-08 12:37:37.000000,52.0,55181.0,56357.0,https://anaconda.org/conda-forge/nmslib,2021-01-08 16:19:07.762000,10586.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n178,implicit,benfred/implicit,,recommender-systems,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000000,2020-11-24 06:44:37.378000,2020-11-15 19:47:23.000000,453,78.0,257.0,2235,300.0,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,28.0,28,True,2020-09-15 22:01:38.000000,0.4.4,34.0,implicit,conda-forge/implicit,,,,377.0,355.0,https://pypi.org/project/implicit,2020-09-15 22:01:38.000000,22.0,76875.0,81939.0,https://anaconda.org/conda-forge/implicit,2020-11-24 06:44:37.378000,182314.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n179,Keras Tuner,keras-team/keras-tuner,,hyperopt,https://github.com/keras-team/keras-tuner,https://github.com/keras-team/keras-tuner,Apache-2.0,2019-06-06 22:38:21.000000,2021-01-28 10:01:28.000000,2021-01-27 00:15:15.000000,260,145.0,134.0,2217,789.0,Hyperparameter tuning for humans.,28.0,28,True,2020-11-20 19:13:23.000000,1.0.2,5.0,keras-tuner,,,,['tensorflow'],378.0,376.0,https://pypi.org/project/keras-tuner,2020-11-20 19:00:59.000000,2.0,183291.0,183291.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n180,AzureML SDK,Azure/MachineLearningNotebooks,,ml-experiments,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000000,2021-01-25 19:09:09.000000,2021-01-25 19:09:12.000000,1558,77.0,851.0,2101,1085.0,Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft.,52.0,28,True,2021-01-11 18:12:53.000000,1.21.0,67.0,azureml-sdk,,,,,60.0,,https://pypi.org/project/azureml-sdk,2021-01-25 17:45:29.000000,60.0,237613.0,237627.0,,,,,,,,2.0,394.0,,,,,,,,,,,,,,,,,,,,,,\n181,ipyparallel,ipython/ipyparallel,,distributed-ml,https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,BSD-3-Clause,2015-04-09 07:43:55.000000,2021-01-22 17:12:52.539000,2020-08-24 09:09:27.000000,730,143.0,107.0,1869,1817.0,Interactive Parallel Computing in Python.,94.0,28,True,2020-05-05 18:42:38.000000,6.3.0,21.0,ipyparallel,conda-forge/ipyparallel,,,['jupyter'],1886.0,1396.0,https://pypi.org/project/ipyparallel,2020-05-05 18:42:38.000000,490.0,49101.0,55578.0,https://anaconda.org/conda-forge/ipyparallel,2021-01-22 17:12:52.539000,369245.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n182,ImageHash,JohannesBuchner/imagehash,,image,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48.000000,2021-01-03 14:55:33.000000,2021-01-03 14:55:15.000000,246,17.0,70.0,1821,184.0,A Python Perceptual Image Hashing Module.,17.0,28,True,2020-11-19 14:54:24.000000,4.2.0,17.0,ImageHash,conda-forge/imagehash,,,,2454.0,1922.0,https://pypi.org/project/ImageHash,2020-11-19 14:54:24.000000,532.0,254133.0,256112.0,https://anaconda.org/conda-forge/imagehash,2020-11-19 18:20:49.964000,98997.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n183,PyTables,PyTables/PyTables,,data-containers,https://github.com/PyTables/PyTables,https://github.com/PyTables/PyTables,BSD-3-Clause,2011-06-03 19:44:46.000000,2021-01-27 07:40:06.000000,2021-01-27 07:17:54.000000,180,155.0,441.0,1001,3924.0,A Python package to manage extremely large amounts of data.,96.0,28,True,2019-10-30 19:33:37.000000,3.6.1,25.0,tables,conda-forge/pytables,,,,3754.0,,https://pypi.org/project/tables,2019-10-30 19:33:37.000000,3754.0,282264.0,323287.0,https://anaconda.org/conda-forge/pytables,2021-01-14 18:41:06.536000,2174156.0,,,,,2.0,125.0,,,,,,,,,,,,,,,,,,,,,,\n184,Keras-Preprocessing,keras-team/keras-preprocessing,,others,https://github.com/keras-team/keras-preprocessing,https://github.com/keras-team/keras-preprocessing,MIT,2018-05-30 22:43:36.000000,2021-01-28 02:24:08.000000,2021-01-21 20:19:32.000000,392,93.0,99.0,905,283.0,\"Utilities for working with image data, text data, and sequence data.\",49.0,28,True,2020-05-14 03:53:47.000000,1.1.2,12.0,keras-preprocessing,conda-forge/keras-preprocessing,,,['tensorflow'],2736.0,,https://pypi.org/project/keras-preprocessing,2020-05-14 03:53:47.000000,2736.0,2930183.0,2955563.0,https://anaconda.org/conda-forge/keras-preprocessing,2021-01-15 12:28:58.923000,786807.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n185,inflect,jaraco/inflect,,nlp,https://github.com/jaraco/inflect,https://github.com/jaraco/inflect,MIT,2010-06-20 13:43:13.000000,2021-01-27 16:38:13.000000,2020-11-15 19:27:28.000000,57,13.0,58.0,474,590.0,\"Correctly generate plurals, ordinals, indefinite articles; convert numbers to words.\",25.0,28,True,2020-11-15 17:41:03.000000,5.0.2,30.0,inflect,conda-forge/inflect,,,,1388.0,,https://pypi.org/project/inflect,2020-11-15 17:40:58.000000,1388.0,775872.0,778654.0,https://anaconda.org/conda-forge/inflect,2021-01-08 13:09:35.481000,125216.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n186,DIPY,dipy/dipy,,medical-data,https://github.com/dipy/dipy,https://github.com/dipy/dipy,BSD-3-Clause,2010-02-06 11:43:08.000000,2021-01-27 21:26:47.000000,2020-12-10 16:48:07.000000,313,156.0,572.0,386,11365.0,\"DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal..\",118.0,28,True,2020-11-05 17:35:53.000000,1.3.0,21.0,dipy,conda-forge/dipy,,,,423.0,329.0,https://pypi.org/project/dipy,2020-11-05 17:35:53.000000,94.0,5013.0,8149.0,https://anaconda.org/conda-forge/dipy,2020-11-14 18:28:50.683000,175653.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n187,Cython BLIS,explosion/cython-blis,,others,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16.000000,2020-12-07 11:23:01.451000,2020-12-07 07:21:11.000000,22,6.0,15.0,157,524.0,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,9.0,28,True,2020-12-07 08:56:44.000000,0.7.4,35.0,blis,conda-forge/cython-blis,,,,8427.0,8037.0,https://pypi.org/project/blis,2020-12-07 08:56:44.000000,390.0,668355.0,686211.0,https://anaconda.org/conda-forge/cython-blis,2020-12-07 11:23:01.451000,392853.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n188,CNTK,microsoft/CNTK,,ml-frameworks,https://github.com/microsoft/CNTK,https://github.com/microsoft/CNTK,MIT,2015-11-26 09:52:06.000000,2020-12-09 22:21:57.000000,2020-03-31 15:55:14.000000,4408,830.0,2519.0,16960,16116.0,\"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.\",265.0,27,True,2019-04-26 14:13:32.000000,2.7,32.0,cntk,,,,,17.0,,https://pypi.org/project/cntk,2020-12-09 22:21:57.000000,17.0,1057.0,1283.0,,,,,,,,3.0,13594.0,,,,,,,,,,,,,,,,,,,,,,\n189,EasyOCR,JaidedAI/EasyOCR,,ocr,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000000,2021-01-25 10:04:54.000000,2021-01-14 04:20:10.000000,994,82.0,161.0,10164,368.0,\"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..\",73.0,27,True,2021-01-05 13:59:10.000000,1.2.2,15.0,easyocr,,,,,110.0,110.0,https://pypi.org/project/easyocr,2021-01-05 13:59:10.000000,0.0,9546.0,27494.0,,,,,,,,1.0,125638.0,,,,,,,,,,,,,,,,,,,,,,\n190,NNI,microsoft/nni,,hyperopt,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44.000000,2021-01-28 14:47:56.000000,2021-01-28 09:34:01.000000,1173,247.0,867.0,8943,1926.0,\"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..\",115.0,27,True,2021-01-14 05:58:03.000000,2.0,37.0,nni,,,,,99.0,83.0,https://pypi.org/project/nni,2021-01-14 05:49:34.000000,16.0,1546.0,1546.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n191,AutoKeras,keras-team/autokeras,,hyperopt,https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20.000000,2021-01-26 23:53:44.000000,2021-01-22 16:11:22.000000,1241,59.0,662.0,7718,1233.0,AutoML library for deep learning.,126.0,27,True,2020-11-30 02:43:50.000000,1.0.12,46.0,autokeras,,,,['tensorflow'],148.0,141.0,https://pypi.org/project/autokeras,2020-11-30 02:43:50.000000,7.0,3961.0,3961.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n192,pretrainedmodels,Cadene/pretrained-models.pytorch,,pytorch-utils,https://github.com/Cadene/pretrained-models.pytorch,https://github.com/Cadene/pretrained-models.pytorch,BSD-3-Clause,2017-04-09 15:54:23.000000,2020-06-08 16:06:59.000000,2020-04-16 08:02:22.000000,1606,85.0,87.0,7660,154.0,\"Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.\",22.0,27,True,2018-10-29 08:18:45.000000,0.7.4,16.0,pretrainedmodels,,,,['pytorch'],956.0,852.0,https://pypi.org/project/pretrainedmodels,2018-10-29 08:18:45.000000,104.0,33979.0,33979.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n193,PyTorch Image Models,rwightman/pytorch-image-models,,image,https://github.com/rwightman/pytorch-image-models,https://github.com/rwightman/pytorch-image-models,Apache-2.0,2019-02-02 05:51:12.000000,2021-01-28 06:08:17.000000,2021-01-25 21:31:15.000000,944,23.0,213.0,6824,671.0,\"PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2,..\",26.0,27,True,2021-01-08 19:51:18.000000,0.3.4,14.0,,,,,['pytorch'],274.0,274.0,,,,,10139.0,,,,,,,,2.0,202788.0,,,,,,,,,,,,,,,,,,,,,,\n194,tensorboardX,lanpa/tensorboardX,,ml-experiments,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19.000000,2020-10-14 17:46:25.000000,2020-07-05 17:29:00.000000,775,72.0,341.0,6779,460.0,\"tensorboard for pytorch (and chainer, mxnet, numpy, ...).\",64.0,27,True,2020-07-05 17:54:10.000000,2.0,12.0,tensorboardX,conda-forge/tensorboardx,,,,11308.0,9974.0,https://pypi.org/project/tensorboardX,2019-12-31 14:04:21.000000,1334.0,248011.0,255380.0,https://anaconda.org/conda-forge/tensorboardx,2020-07-06 20:33:55.729000,265092.0,,,,,2.0,291.0,,,,,,,,,,,,,,,,,,,,,,\n195,dgl,dmlc/dgl,,graph,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000000,2021-01-28 13:21:07.000000,2021-01-28 13:05:10.000000,1329,223.0,697.0,6578,1534.0,\"Python package built to ease deep learning on graph, on top of existing DL frameworks.\",104.0,27,True,2020-11-30 07:39:12.000000,0.5.3,359.0,dgl,,,,,30.0,,https://pypi.org/project/dgl,2021-01-27 09:23:50.000000,30.0,10259.0,10259.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n196,TensorLayer,tensorlayer/tensorlayer,,reinforcement-learning,https://github.com/tensorlayer/tensorlayer,https://github.com/tensorlayer/tensorlayer,Apache-2.0,2016-06-07 15:55:16.000000,2021-01-28 04:45:04.000000,2021-01-28 04:45:03.000000,1444,48.0,433.0,6472,3317.0,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,128.0,27,True,2021-01-06 07:16:21.000000,2.2.4,82.0,tensorlayer,,,,['tensorflow'],68.0,,https://pypi.org/project/tensorlayer,2020-06-19 00:53:37.000000,68.0,1746.0,1769.0,,,,,,,,2.0,1201.0,,,,,,,,,,,,,,,,,,,,,,\n197,imageai,OlafenwaMoses/ImageAI,,image,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33.000000,2021-01-05 01:31:44.000000,2021-01-05 01:31:12.000000,1606,184.0,406.0,5817,290.0,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,13.0,27,True,2021-01-05 01:26:01.000000,2.1.6,10.0,imageai,,,,,678.0,666.0,https://pypi.org/project/imageai,2021-01-05 01:26:01.000000,12.0,4734.0,20769.0,,,,,,,,2.0,529155.0,,,,,,,,,,,,,,,,,,,,,,\n198,featuretools,alteryx/featuretools,,hyperopt,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17.000000,2021-01-27 23:36:55.000000,2021-01-27 23:24:28.000000,696,111.0,392.0,5355,569.0,An open source python library for automated feature engineering.,49.0,27,True,2020-12-31 21:26:39.000000,0.23.0,63.0,featuretools,conda-forge/featuretools,,,,735.0,665.0,https://pypi.org/project/featuretools,2020-12-31 21:27:46.000000,70.0,50914.0,52663.0,https://anaconda.org/conda-forge/featuretools,2021-01-05 23:32:34.667000,43725.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n199,tsfresh,blue-yonder/tsfresh,,time-series-data,https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17.000000,2021-01-27 06:51:39.000000,2021-01-25 22:01:55.000000,846,37.0,400.0,5327,398.0,Automatic extraction of relevant features from time series:.,72.0,27,True,2020-09-09 21:08:22.000000,0.17.0,26.0,tsfresh,conda-forge/tsfresh,,,['sklearn'],66.0,,https://pypi.org/project/tsfresh,2020-09-09 21:08:22.000000,66.0,132444.0,133156.0,https://anaconda.org/conda-forge/tsfresh,2020-09-10 08:48:19.773000,27058.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n200,CleverHans,cleverhans-lab/cleverhans,,adversarial,https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04.000000,2021-01-27 15:25:17.000000,2021-01-26 11:21:22.000000,1209,75.0,413.0,4918,3045.0,\"An adversarial example library for constructing attacks, building defenses, and benchmarking both.\",114.0,27,True,2021-01-26 13:15:00.000000,3.1.0,7.0,cleverhans,,,,['tensorflow'],193.0,185.0,https://pypi.org/project/cleverhans,2018-11-27 17:36:15.000000,8.0,503.0,503.0,,,,,,,,1.0,,,2.0,,,,,,,,,,,,,,,,,,,,\n201,GluonCV,dmlc/gluon-cv,,image,https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21.000000,2021-01-27 17:57:21.000000,2021-01-27 17:57:19.000000,1036,361.0,376.0,4507,835.0,Gluon CV Toolkit.,111.0,27,True,2021-01-05 00:33:13.000000,0.9.1,979.0,gluoncv,,,,['mxnet'],438.0,408.0,https://pypi.org/project/gluoncv,2021-01-27 09:01:43.000000,30.0,50240.0,50240.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n202,PDFMiner,euske/pdfminer,,data-loading,https://github.com/euske/pdfminer,https://github.com/euske/pdfminer,MIT,2010-12-12 12:50:22.000000,2021-01-18 18:11:24.661000,2020-01-18 07:00:32.000000,1024,222.0,39.0,4488,540.0,Python PDF Parser (Not actively maintained). Check out pdfminer.six.,28.0,27,True,,,24.0,pdfminer,conda-forge/pdfminer,,,,3484.0,2018.0,https://pypi.org/project/pdfminer,2019-11-25 12:02:21.000000,1466.0,137669.0,137924.0,https://anaconda.org/conda-forge/pdfminer,2021-01-18 18:11:24.661000,13543.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n203,snorkel,snorkel-team/snorkel,,data-loading,https://github.com/snorkel-team/snorkel,https://github.com/snorkel-team/snorkel,Apache-2.0,2016-02-26 05:52:45.000000,2021-01-25 19:33:50.000000,2020-09-05 21:24:32.000000,713,29.0,912.0,4431,2646.0,A system for quickly generating training data with weak supervision.,62.0,27,True,2020-08-09 03:07:36.000000,0.9.6,17.0,snorkel,conda-forge/snorkel,,,,70.0,66.0,https://pypi.org/project/snorkel,2020-04-07 01:35:21.000000,4.0,58180.0,59035.0,https://anaconda.org/conda-forge/snorkel,2020-04-10 13:08:54.445000,15212.0,,,,,3.0,502.0,,,,,,,,,,,,,,,,,,,,,,\n204,skorch,skorch-dev/skorch,,ml-frameworks,https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000000,2021-01-22 20:39:09.000000,2021-01-22 20:39:08.000000,271,48.0,316.0,3754,937.0,A scikit-learn compatible neural network library that wraps PyTorch.,39.0,27,True,2020-08-30 10:46:40.000000,0.9.0,12.0,skorch,conda-forge/skorch,,,\"['pytorch', 'sklearn']\",271.0,258.0,https://pypi.org/project/skorch,2020-08-30 10:43:37.000000,13.0,5702.0,11763.0,https://anaconda.org/conda-forge/skorch,2020-09-19 04:12:07.576000,169732.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n205,OCRmyPDF,jbarlow83/OCRmyPDF,,ocr,https://github.com/jbarlow83/OCRmyPDF,https://github.com/jbarlow83/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000000,2021-01-26 10:22:47.000000,2021-01-26 09:47:49.000000,425,92.0,567.0,3743,2836.0,\"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.\",49.0,27,True,2021-01-26 10:22:47.000000,11.6.0,159.0,ocrmypdf,,,,,120.0,108.0,https://pypi.org/project/ocrmypdf,2021-01-26 10:22:47.000000,12.0,10254.0,10254.0,,,,,,,,1.0,,,,,,,,,,ocrmypdf,ocrmypdf,,,,,,,,,,,,\n206,sktime,alan-turing-institute/sktime,,time-series-data,https://github.com/alan-turing-institute/sktime,https://github.com/alan-turing-institute/sktime,BSD-3-Clause,2018-11-06 15:08:24.000000,2021-01-28 12:40:46.000000,2021-01-20 17:55:21.000000,424,100.0,222.0,3517,1671.0,A unified framework for machine learning with time series.,73.0,27,True,2021-01-13 10:44:56.000000,0.5.2,11.0,sktime,,,,['sklearn'],95.0,95.0,https://pypi.org/project/sktime,2020-12-29 22:15:58.000000,0.0,8678.0,8680.0,,,,,,,,1.0,49.0,,,,,,,,,,,,,,,,,,,,,,\n207,lightfm,lyst/lightfm,,recommender-systems,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00.000000,2021-01-24 22:03:04.000000,2020-11-27 19:54:37.000000,561,127.0,338.0,3465,404.0,\"A Python implementation of LightFM, a hybrid recommendation algorithm.\",42.0,27,True,2020-11-27 19:48:30.000000,1.16,14.0,lightfm,conda-forge/lightfm,,,,412.0,384.0,https://pypi.org/project/lightfm,2020-11-27 19:55:08.000000,28.0,71637.0,73656.0,https://anaconda.org/conda-forge/lightfm,2020-12-07 16:07:27.944000,72695.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n208,InterpretML,interpretml/interpret,,interpretability,https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000000,2021-01-28 00:53:14.000000,2021-01-28 00:51:55.000000,428,47.0,120.0,3418,1488.0,Fit interpretable models. Explain blackbox machine learning.,23.0,27,True,2021-01-20 02:12:33.000000,0.2.4,34.0,interpret,,,,['jupyter'],63.0,61.0,https://pypi.org/project/interpret,2021-01-20 02:10:35.000000,2.0,8388.0,8388.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n209,Ignite,pytorch/ignite,,ml-frameworks,https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000000,2021-01-28 07:56:07.000000,2021-01-28 07:49:50.000000,406,98.0,603.0,3221,862.0,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,119.0,27,True,2020-09-20 20:00:28.000000,0.4.2,446.0,pytorch-ignite,pytorch/ignite,,,['pytorch'],781.0,719.0,https://pypi.org/project/pytorch-ignite,2021-01-24 01:07:12.000000,62.0,30736.0,32423.0,https://anaconda.org/pytorch/ignite,2020-09-20 20:00:11.134000,52299.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n210,Alpha Vantage,RomelTorres/alpha_vantage,,financial-data,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00.000000,2021-01-14 16:42:33.000000,2020-12-21 19:51:57.000000,550,16.0,206.0,3049,497.0,A python wrapper for Alpha Vantage API for financial data.,36.0,27,True,2020-12-21 02:37:29.000000,2.3.1,28.0,alpha_vantage,,,,,202.0,,https://pypi.org/project/alpha_vantage,2018-08-26 18:55:11.000000,202.0,15510.0,15510.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n211,Dagster,dagster-io/dagster,,data-pipelines,https://github.com/dagster-io/dagster,https://github.com/dagster-io/dagster,Apache-2.0,2018-04-30 16:30:04.000000,2021-01-28 15:00:23.000000,2021-01-28 15:00:22.000000,279,611.0,1843.0,2831,6479.0,\"A data orchestrator for machine learning, analytics, and ETL.\",115.0,27,True,2021-01-22 00:26:46.000000,0.10.1,228.0,dagster,conda-forge/dagster,,,,138.0,134.0,https://pypi.org/project/dagster,2021-01-22 00:26:46.000000,4.0,23847.0,32912.0,https://anaconda.org/conda-forge/dagster,2020-12-04 14:42:14.711000,126922.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n212,missingno,ResidentMario/missingno,,data-viz,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50.000000,2020-12-28 16:13:39.000000,2020-12-28 16:13:38.000000,333,15.0,87.0,2616,170.0,Missing data visualization module for Python.,15.0,27,True,2019-07-09 16:03:51.000000,0.4.2,21.0,missingno,conda-forge/missingno,,,,2805.0,2729.0,https://pypi.org/project/missingno,2018-06-29 16:25:00.000000,76.0,122658.0,124334.0,https://anaconda.org/conda-forge/missingno,2020-02-15 10:07:41.253000,70416.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n213,eli5,TeamHG-Memex/eli5,,interpretability,https://github.com/TeamHG-Memex/eli5,https://github.com/TeamHG-Memex/eli5,MIT,2016-09-15 01:04:57.000000,2021-01-25 08:24:59.385000,2020-01-22 07:39:36.000000,296,145.0,110.0,2277,1198.0,A library for debugging/inspecting machine learning classifiers and explaining their predictions.,14.0,27,True,2021-01-23 14:25:24.000000,0.11.0,28.0,eli5,conda-forge/eli5,,,,110.0,,https://pypi.org/project/eli5,2021-01-23 14:25:24.000000,110.0,187527.0,189482.0,https://anaconda.org/conda-forge/eli5,2021-01-25 08:24:59.385000,86035.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n214,GluonNLP,dmlc/gluon-nlp,,nlp,https://github.com/dmlc/gluon-nlp,https://github.com/dmlc/gluon-nlp,Apache-2.0,2018-04-04 20:57:13.000000,2021-01-28 08:19:37.000000,2021-01-26 13:11:18.000000,490,227.0,286.0,2210,814.0,\"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..\",79.0,27,True,2020-08-13 19:16:27.000000,0.10.0,25.0,gluonnlp,,,,['mxnet'],394.0,383.0,https://pypi.org/project/gluonnlp,2020-08-13 01:28:51.000000,11.0,26411.0,26411.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n215,Jina,jina-ai/jina,,ml-frameworks,https://github.com/jina-ai/jina,https://github.com/jina-ai/jina,Apache-2.0,2020-02-13 17:04:44.000000,2021-01-28 14:29:26.338615,2021-01-28 14:12:33.000000,318,45.0,577.0,1962,4626.0,An easier way to build neural search in the cloud.,84.0,27,True,2021-01-27 17:01:50.000000,0.9.22,218.0,jina,,jinaai/jina,,,45.0,45.0,https://pypi.org/project/jina,2021-01-27 16:57:33.000000,,2036.0,10105.0,,,,https://hub.docker.com/r/jinaai/jina,2021-01-28 14:29:26.338615,,88763.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n216,hdbscan,scikit-learn-contrib/hdbscan,,others,https://github.com/scikit-learn-contrib/hdbscan,https://github.com/scikit-learn-contrib/hdbscan,BSD-3-Clause,2015-04-22 13:32:37.000000,2021-01-25 15:49:52.000000,2021-01-25 15:49:51.000000,337,224.0,144.0,1800,871.0,A high performance implementation of HDBSCAN clustering.,66.0,27,True,2020-03-19 19:19:04.000000,0.8.26,42.0,hdbscan,conda-forge/hdbscan,,,['sklearn'],841.0,717.0,https://pypi.org/project/hdbscan,2020-03-19 19:19:04.000000,124.0,85234.0,94822.0,https://anaconda.org/conda-forge/hdbscan,2020-11-02 02:54:21.050000,517796.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n217,TF-Agents,tensorflow/agents,,reinforcement-learning,https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000000,2021-01-27 22:22:49.000000,2021-01-27 22:22:26.000000,454,95.0,311.0,1771,1603.0,TF-Agents is a library for Reinforcement Learning in TensorFlow.,85.0,27,True,2021-01-05 18:41:58.000000,0.7.1,18.0,tf-agents,,,,['tensorflow'],371.0,359.0,https://pypi.org/project/tf-agents,2021-01-05 18:41:58.000000,12.0,7130.0,7130.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n218,ta,bukosabino/ta,,financial-data,https://github.com/bukosabino/ta,https://github.com/bukosabino/ta,MIT,2018-01-02 18:08:48.000000,2021-01-23 22:06:12.000000,2020-11-29 21:08:14.000000,453,61.0,82.0,1755,582.0,Technical Analysis Library using Pandas and Numpy.,23.0,27,True,2020-11-17 08:01:47.000000,0.7.0,49.0,ta,,,,,417.0,411.0,https://pypi.org/project/ta,2020-11-29 10:49:09.000000,6.0,22633.0,22633.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n219,filterpy,rlabbe/filterpy,,probabilistics,https://github.com/rlabbe/filterpy,https://github.com/rlabbe/filterpy,MIT,2014-07-15 02:15:19.000000,2021-01-05 02:45:44.000000,2021-01-04 03:55:54.000000,401,21.0,146.0,1652,528.0,\"Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman..\",33.0,27,True,2018-10-10 22:38:24.000000,1.4.5,48.0,filterpy,conda-forge/filterpy,,,,909.0,697.0,https://pypi.org/project/filterpy,2018-10-10 22:38:24.000000,212.0,16047.0,17348.0,https://anaconda.org/conda-forge/filterpy,2020-05-05 21:13:59.073000,55945.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n220,textacy,chartbeat-labs/textacy,,nlp,https://github.com/chartbeat-labs/textacy,https://github.com/chartbeat-labs/textacy,Apache-2.0,2016-02-03 16:52:45.000000,2021-01-10 22:37:28.000000,2021-01-09 19:21:48.000000,211,30.0,194.0,1595,1332.0,\"NLP, before and after spaCy.\",29.0,27,True,2020-08-29 20:51:05.000000,0.10.1,29.0,textacy,conda-forge/textacy,,,,77.0,,https://pypi.org/project/textacy,2020-08-29 20:51:28.000000,77.0,20447.0,22129.0,https://anaconda.org/conda-forge/textacy,2020-11-19 15:32:56.211000,74021.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n221,MNE,mne-tools/mne-python,,medical-data,https://github.com/mne-tools/mne-python,https://github.com/mne-tools/mne-python,BSD-3-Clause,2011-01-28 03:31:13.000000,2021-01-28 15:02:50.000000,2021-01-28 13:44:13.000000,836,298.0,3090.0,1499,,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,231.0,27,True,2020-12-17 15:32:54.000000,0.22.0,50.0,mne,conda-forge/mne,,,,1005.0,807.0,https://pypi.org/project/mne,2020-12-17 15:32:54.000000,198.0,14498.0,16592.0,https://anaconda.org/conda-forge/mne,2020-12-20 21:44:36.472000,98464.0,,,,,2.0,,,-4.0,,,,,,,,,,,,,,,,,,,,\n222,Cartopy,mapbox/rasterio,,geospatial-data,https://github.com/mapbox/rasterio,https://github.com/mapbox/rasterio,LGPL-3.0,2013-11-04 16:36:27.000000,2021-01-26 02:00:18.000000,2021-01-25 01:23:10.000000,390,137.0,1202.0,1420,3258.0,Rasterio reads and writes geospatial raster datasets.,106.0,27,False,2018-11-17 07:43:32.000000,0.17.0,18.0,Cartopy,conda-forge/cartopy,,,,2829.0,2656.0,https://pypi.org/project/Cartopy,2020-04-27 04:57:38.000000,173.0,9796.0,32573.0,https://anaconda.org/conda-forge/cartopy,2020-12-21 22:49:27.196000,1320531.0,,,,,3.0,702.0,,,,,,,,,,,,,,,,,,,,,,\n223,datasketch,ekzhu/datasketch,,data-containers,https://github.com/ekzhu/datasketch,https://github.com/ekzhu/datasketch,MIT,2015-03-20 01:21:46.000000,2021-01-28 09:09:53.000000,2020-12-23 21:00:36.000000,206,18.0,91.0,1418,193.0,\"MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble.\",16.0,27,True,2020-12-15 20:59:57.000000,1.5.2,74.0,datasketch,,,,,335.0,249.0,https://pypi.org/project/datasketch,2020-12-15 20:59:57.000000,86.0,150685.0,150685.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,,,,,\n224,Flax,google/flax,,ml-frameworks,https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000000,2021-01-28 11:12:38.000000,2021-01-28 11:12:32.000000,161,164.0,140.0,1408,1503.0,Flax is a neural network ecosystem for JAX that is designed for flexibility.,71.0,27,True,2020-12-08 15:14:03.000000,0.3.0,9.0,flax,,,,['jax'],97.0,91.0,https://pypi.org/project/flax,2020-12-08 15:14:03.000000,6.0,44411.0,44413.0,,,,,,,,3.0,20.0,,,,,,,,,,,,,,,,,,,,,,\n225,pyLDAvis,bmabey/pyLDAvis,,interpretability,https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03.000000,2021-01-15 12:17:17.000000,2020-12-02 18:10:12.000000,289,91.0,56.0,1389,218.0,Python library for interactive topic model visualization. Port of the R LDAvis package.,31.0,27,True,2018-06-05 18:55:56.000000,2.1.2,17.0,pyldavis,conda-forge/pyldavis,,,['jupyter'],1833.0,1734.0,https://pypi.org/project/pyldavis,2018-06-05 18:55:56.000000,99.0,53020.0,53697.0,https://anaconda.org/conda-forge/pyldavis,2018-06-22 21:16:15.741000,20990.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n226,GPflow,GPflow/GPflow,,probabilistics,https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000000,2021-01-28 12:35:26.000000,2021-01-13 16:31:51.000000,389,86.0,601.0,1370,2203.0,Gaussian processes in TensorFlow.,68.0,27,True,2020-12-01 12:59:03.000000,2.1.4,28.0,gpflow,conda-forge/gpflow,,,['tensorflow'],230.0,213.0,https://pypi.org/project/gpflow,2020-12-01 13:12:15.000000,17.0,1914.0,2164.0,https://anaconda.org/conda-forge/gpflow,2018-11-06 08:51:39.744000,8020.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n227,PyCUDA,inducer/pycuda,,gpu-utilities,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000000,2021-01-04 20:15:46.000000,2021-01-04 20:12:30.000000,214,41.0,122.0,1080,1449.0,\"CUDA integration for Python, plus shiny features.\",68.0,27,True,2019-08-12 04:15:37.000000,2019.1.2,46.0,pycuda,,,,,1012.0,720.0,https://pypi.org/project/pycuda,2020-10-07 21:59:52.000000,292.0,10507.0,10507.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n228,ipyleaflet,jupyter-widgets/ipyleaflet,,geospatial-data,https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10.000000,2021-01-22 15:14:34.000000,2021-01-22 15:14:33.000000,278,130.0,250.0,1075,907.0,A Jupyter - Leaflet.js bridge.,63.0,27,True,2021-01-05 16:38:38.000000,0.13.6,70.0,ipyleaflet,conda-forge/ipyleaflet,,,['jupyter'],776.0,676.0,https://pypi.org/project/ipyleaflet,2021-01-05 16:38:38.000000,98.0,11512.0,157166.0,https://anaconda.org/conda-forge/ipyleaflet,2021-01-16 23:51:37.383000,581763.0,,,,,3.0,,,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2021-01-05 16:30:30.235000,2.0,135266.0,,,,,,,,,,,,,,,\n229,Model Analysis,tensorflow/model-analysis,,interpretability,https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000000,2021-01-28 04:43:42.000000,2021-01-28 04:43:14.000000,203,22.0,32.0,1030,886.0,Model analysis tools for TensorFlow.,33.0,27,True,2020-12-16 20:56:20.000000,0.26.0,33.0,tensorflow-model-analysis,,,,\"['tensorflow', 'jupyter']\",10.0,,https://pypi.org/project/tensorflow-model-analysis,2020-12-16 20:56:20.000000,10.0,4963817.0,4963817.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n230,PyStan,stan-dev/pystan,,probabilistics,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,GPL-3.0,2013-05-24 01:21:21.000000,2021-01-16 16:17:38.000000,2020-11-21 11:22:43.000000,192,66.0,425.0,911,867.0,\"PyStan, the Python interface to Stan.\",54.0,27,False,2020-10-16 20:20:46.000000,2.19.1.1-codes,55.0,pystan,conda-forge/pystan,,,,2821.0,2479.0,https://pypi.org/project/pystan,2021-01-16 16:17:38.000000,342.0,569618.0,588148.0,https://anaconda.org/conda-forge/pystan,2020-08-25 22:40:14.631000,852338.0,,,,,2.0,91.0,,,,,,,,,,,,,,,,,,,,,,\n231,petl,petl-developers/petl,,data-pipelines,https://github.com/petl-developers/petl,https://github.com/petl-developers/petl,MIT,2011-08-19 09:51:03.000000,2021-01-18 23:47:37.000000,2021-01-18 23:47:36.000000,151,66.0,342.0,821,1121.0,Python Extract Transform and Load Tables of Data.,44.0,27,True,2020-12-29 02:39:53.000000,1.7.1,74.0,petl,conda-forge/petl,,http://petl.readthedocs.org,,429.0,315.0,https://pypi.org/project/petl,2020-10-06 00:03:28.000000,114.0,12559.0,12931.0,https://anaconda.org/conda-forge/petl,2020-12-29 04:11:54.349000,19351.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n232,pyopencl,inducer/pyopencl,,others,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,MIT,2011-04-06 02:51:33.000000,2021-01-28 14:47:58.000000,2021-01-28 14:47:21.000000,206,52.0,208.0,772,2875.0,\"OpenCL integration for Python, plus shiny features.\",83.0,27,True,2020-11-20 05:22:46.000000,2020.3.1,55.0,pyopencl,conda-forge/pyopencl,,,,693.0,455.0,https://pypi.org/project/pyopencl,2021-01-25 21:55:45.000000,238.0,5423.0,11359.0,https://anaconda.org/conda-forge/pyopencl,2021-01-27 20:18:36.643000,302745.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n233,igraph,igraph/python-igraph,,graph,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16.000000,2021-01-28 13:49:23.000000,2021-01-28 13:49:17.000000,180,25.0,256.0,764,1524.0,Python interface for igraph.,48.0,27,False,2020-10-08 14:50:52.000000,0.8.3,18.0,python-igraph,conda-forge/igraph,,,,1836.0,1412.0,https://pypi.org/project/python-igraph,2020-04-28 17:45:27.000000,424.0,45244.0,50276.0,https://anaconda.org/conda-forge/igraph,2021-01-05 11:05:57.682000,195079.0,,,,,1.0,47434.0,,,,,,,,,,,,,,,,,,,,,,\n234,patsy,pydata/patsy,,probabilistics,https://github.com/pydata/patsy,https://github.com/pydata/patsy,BSD-2-Clause,2012-07-10 12:30:06.000000,2020-09-09 13:00:29.000000,2018-10-31 21:55:48.000000,85,78.0,51.0,733,517.0,Describing statistical models in Python using symbolic formulas.,13.0,27,False,2018-10-28 05:07:55.000000,0.5.1,8.0,patsy,conda-forge/patsy,,,,34215.0,29291.0,https://pypi.org/project/patsy,2018-10-28 03:59:51.000000,4924.0,1128299.0,1175480.0,https://anaconda.org/conda-forge/patsy,2018-10-28 05:21:35.412000,2500643.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n235,zarr,zarr-developers/zarr-python,,data-containers,https://github.com/zarr-developers/zarr-python,https://github.com/zarr-developers/zarr-python,MIT,2015-12-15 14:49:40.000000,2021-01-27 16:29:58.000000,2021-01-27 10:00:14.000000,107,179.0,228.0,627,1379.0,\"An implementation of chunked, compressed, N-dimensional arrays for Python.\",35.0,27,True,2020-12-02 18:33:13.000000,2.6.1,31.0,zarr,conda-forge/zarr,,,,606.0,534.0,https://pypi.org/project/zarr,2020-12-02 18:33:13.000000,72.0,74276.0,83836.0,https://anaconda.org/conda-forge/zarr,2020-12-03 02:31:13.848000,535401.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n236,geojson,jazzband/geojson,,geospatial-data,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48.000000,2020-11-25 21:55:02.000000,2020-11-25 19:10:27.000000,78,18.0,50.0,594,445.0,Python bindings and utilities for GeoJSON.,44.0,27,True,2019-08-09 20:32:15.000000,2.5.0,28.0,geojson,conda-forge/geojson,,,,7277.0,5673.0,https://pypi.org/project/geojson,2019-08-09 20:32:15.000000,1604.0,330932.0,337191.0,https://anaconda.org/conda-forge/geojson,2019-08-11 12:10:34.426000,363047.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n237,data-validation,tensorflow/data-validation,,data-viz,https://github.com/tensorflow/data-validation,https://github.com/tensorflow/data-validation,Apache-2.0,2018-07-02 15:47:02.000000,2021-01-25 23:42:55.000000,2021-01-25 23:42:49.000000,94,38.0,72.0,506,559.0,Library for exploring and validating machine learning data.,20.0,27,True,2020-12-17 00:43:02.000000,0.26.0,23.0,tensorflow-data-validation,,,,\"['tensorflow', 'jupyter']\",242.0,224.0,https://pypi.org/project/tensorflow-data-validation,2020-12-17 00:43:02.000000,18.0,5103646.0,5103652.0,,,,,,,,2.0,195.0,,,,,,,,,,,,,,,,,,,,,,\n238,audioread,beetbox/audioread,,audio,https://github.com/beetbox/audioread,https://github.com/beetbox/audioread,MIT,2011-11-08 19:53:18.000000,2020-12-08 20:08:37.201000,2020-10-20 11:22:05.000000,83,31.0,44.0,357,232.0,cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python.,20.0,27,True,2020-10-20 11:23:09.000000,2.1.9,25.0,audioread,conda-forge/audioread,,,,4619.0,4033.0,https://pypi.org/project/audioread,2020-10-20 11:23:09.000000,586.0,227677.0,231271.0,https://anaconda.org/conda-forge/audioread,2020-12-08 20:08:37.201000,194113.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n239,detectron2,facebookresearch/detectron2,,image,https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000000,2021-01-27 20:27:38.000000,2021-01-27 10:40:36.000000,3714,89.0,2123.0,14719,928.0,Detectron2 is FAIR's next-generation platform for object detection and segmentation.,141.0,26,True,2020-11-06 03:20:56.000000,0.3,7.0,,conda-forge/detectron2,,,['pytorch'],154.0,154.0,,,,,1549.0,https://anaconda.org/conda-forge/detectron2,2020-08-05 13:27:52.058000,12397.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n240,Streamlit,streamlit/streamlit,,others,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000000,2021-01-28 11:01:38.000000,2021-01-27 19:33:51.000000,1076,558.0,951.0,12859,,Streamlit The fastest way to build data apps in Python.,87.0,26,True,2021-01-21 20:53:54.000000,0.75.0,123.0,streamlit,,,,,87.0,53.0,https://pypi.org/project/streamlit,2021-01-21 20:53:54.000000,34.0,92855.0,92855.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n241,Dopamine,google/dopamine,,reinforcement-learning,https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36.000000,2021-01-25 15:04:08.000000,2021-01-25 15:04:00.000000,1225,72.0,70.0,9289,213.0,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,13.0,26,True,2020-10-16 22:05:03.000000,3.1.8,34.0,dopamine-rl,,,,['tensorflow'],31.0,,https://pypi.org/project/dopamine-rl,2020-10-16 22:05:03.000000,31.0,47404.0,47404.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n242,InsightFace,deepinsight/insightface,,image,https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,MIT,2017-09-01 00:36:51.000000,2021-01-28 07:55:54.000000,2021-01-27 11:17:49.000000,2925,709.0,647.0,8474,1476.0,Face Analysis Project on MXNet.,15.0,26,True,2019-09-07 13:47:11.000000,0.1.5,6.0,insightface,,,,['mxnet'],52.0,51.0,https://pypi.org/project/insightface,2019-09-07 13:47:11.000000,1.0,1308.0,1308.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n243,PySyft,OpenMined/PySyft,,privacy-ml,https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,MIT,2017-07-18 20:41:16.000000,2021-01-27 10:17:56.000000,2021-01-24 08:46:13.000000,1538,180.0,2460.0,6799,6515.0,A library for answering questions using data you cannot see.,334.0,26,True,2020-11-12 19:57:33.000000,0.3.0,48.0,syft,,,,['pytorch'],3.0,,https://pypi.org/project/syft,2020-09-14 15:03:40.000000,3.0,1439.0,1439.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n244,carla,carla-simulator/carla,,others,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000000,2021-01-28 14:31:33.000000,2020-12-22 22:54:58.000000,1626,308.0,2665.0,5525,4756.0,Open-source simulator for autonomous driving research.,122.0,26,True,2020-12-23 07:08:35.000000,0.9.11,22.0,carla,,,,,59.0,57.0,https://pypi.org/project/carla,2019-04-28 17:45:24.000000,2.0,446.0,446.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n245,backtrader,mementum/backtrader,,financial-data,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52.000000,2021-01-16 16:35:49.000000,2020-07-03 12:52:48.000000,1726,18.0,,5501,2381.0,Python Backtesting library for trading strategies.,50.0,26,False,,,155.0,backtrader,,,,,500.0,430.0,https://pypi.org/project/backtrader,2020-07-03 13:02:14.000000,70.0,23125.0,23125.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n246,auto-sklearn,automl/auto-sklearn,,hyperopt,https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10.000000,2021-01-27 12:03:41.000000,2021-01-26 16:38:35.000000,971,120.0,556.0,5171,2413.0,Automated Machine Learning with scikit-learn.,63.0,26,True,2021-01-04 14:13:00.000000,0.12.1,26.0,auto-sklearn,,,,['sklearn'],159.0,129.0,https://pypi.org/project/auto-sklearn,2021-01-04 14:13:00.000000,30.0,3743.0,3743.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n247,DeepPavlov,deepmipt/DeepPavlov,,nlp,https://github.com/deepmipt/DeepPavlov,https://github.com/deepmipt/DeepPavlov,Apache-2.0,2017-11-17 14:35:29.000000,2021-01-28 10:34:50.000000,2020-12-24 16:30:15.000000,891,85.0,448.0,4970,2579.0,An open source library for deep learning end-to-end dialog systems and chatbots.,61.0,26,True,2020-12-24 16:35:56.000000,0.14.0,41.0,deeppavlov,,,,['tensorflow'],172.0,168.0,https://pypi.org/project/deeppavlov,2020-12-24 16:33:49.000000,4.0,3487.0,3487.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n248,Bayesian Optimization,fmfn/BayesianOptimization,,hyperopt,https://github.com/fmfn/BayesianOptimization,https://github.com/fmfn/BayesianOptimization,MIT,2014-06-06 08:18:56.000000,2020-12-24 10:51:12.000000,2020-12-19 01:11:23.000000,1080,35.0,164.0,4826,199.0,A Python implementation of global optimization with gaussian processes.,27.0,26,True,2020-05-16 16:03:51.000000,1.2.0,8.0,bayesian-optimization,,,,,677.0,585.0,https://pypi.org/project/bayesian-optimization,2020-05-16 15:56:09.000000,92.0,42233.0,42234.0,,,,,,,,2.0,47.0,,,,,,,,,,,,,,,,,,,,,,\n249,scikit-surprise,NicolasHug/Surprise,,recommender-systems,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38.000000,2020-10-13 01:22:58.850000,2020-08-05 17:45:59.000000,819,35.0,285.0,4655,622.0,A Python scikit for building and analyzing recommender systems.,38.0,26,True,2020-07-19 14:50:48.000000,1.1.1,9.0,scikit-surprise,conda-forge/scikit-surprise,,,,904.0,880.0,https://pypi.org/project/scikit-surprise,2020-07-19 14:50:48.000000,24.0,30858.0,35096.0,https://anaconda.org/conda-forge/scikit-surprise,2020-10-13 01:22:58.850000,152590.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n250,Datasette,simonw/datasette,,others,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000000,2021-01-25 17:42:00.000000,2021-01-25 17:35:06.000000,256,231.0,745.0,4599,1565.0,An open source multi-tool for exploring and publishing data.,42.0,26,True,2021-01-25 17:36:30.000000,0.54,89.0,datasette,,,,,416.0,346.0,https://pypi.org/project/datasette,2021-01-25 17:42:00.000000,70.0,3412.0,3412.0,,,,,,,,2.0,26.0,,,,,,,,,datasette,,,,,,,,,,,,,\n251,librosa,librosa/librosa,,audio,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000000,2020-10-19 21:24:48.000000,2020-09-11 13:58:44.000000,679,54.0,780.0,4255,,Python library for audio and music analysis.,80.0,26,True,2020-07-22 01:34:55.000000,0.8.0,28.0,librosa,conda-forge/librosa,,,,10851.0,9101.0,https://pypi.org/project/librosa,2020-07-22 01:34:55.000000,1750.0,244213.0,248728.0,https://anaconda.org/conda-forge/librosa,2020-07-22 10:27:18.402000,243858.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n252,Metaflow,Netflix/metaflow,,ml-experiments,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000000,2021-01-28 00:08:32.000000,2021-01-26 20:34:10.000000,310,107.0,140.0,4009,183.0,Build and manage real-life data science projects with ease.,28.0,26,True,2021-01-26 21:51:19.000000,2.2.6,16.0,metaflow,conda-forge/metaflow,,,,104.0,102.0,https://pypi.org/project/metaflow,2021-01-26 22:33:53.000000,2.0,25047.0,25837.0,https://anaconda.org/conda-forge/metaflow,2021-01-27 01:14:16.680000,10282.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n253,mlpack,mlpack/mlpack,,ml-frameworks,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59.000000,2021-01-28 08:29:46.000000,2021-01-27 21:51:25.000000,1288,156.0,1195.0,3541,25820.0,mlpack: a scalable C++ machine learning library --.,262.0,26,True,2020-10-28 18:28:47.000000,3.4.2,40.0,mlpack,conda-forge/mlpack,,,,,,https://pypi.org/project/mlpack,2020-10-28 18:28:47.000000,,104.0,2202.0,https://anaconda.org/conda-forge/mlpack,2020-10-29 09:35:18.918000,62965.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n254,Perspective,finos/perspective,,data-viz,https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000000,2021-01-28 05:53:16.000000,2021-01-28 05:40:56.000000,345,81.0,303.0,3137,4315.0,Streaming pivot visualization via WebAssembly.,61.0,26,True,2021-01-14 04:18:20.000000,0.6.0,39.0,perspective-python,,,,['jupyter'],174.0,170.0,https://pypi.org/project/perspective-python,2021-01-14 04:18:20.000000,4.0,454.0,1680.0,,,,,,,,3.0,,,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2021-01-08 07:02:49.503000,,1226.0,,,,,,,,,,,,,,,\n255,yellowbrick,DistrictDataLabs/yellowbrick,,interpretability,https://github.com/DistrictDataLabs/yellowbrick,https://github.com/DistrictDataLabs/yellowbrick,Apache-2.0,2016-05-18 14:12:17.000000,2021-01-15 19:33:04.000000,2021-01-15 19:32:11.000000,473,88.0,512.0,3078,831.0,Visual analysis and diagnostic tools to facilitate machine learning model selection.,95.0,26,True,2021-01-15 19:35:31.000000,1.2.1,20.0,yellowbrick,,,,['sklearn'],62.0,,https://pypi.org/project/yellowbrick,2020-10-09 19:35:00.000000,62.0,47751.0,47751.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n256,textract,deanmalmgren/textract,,data-loading,https://github.com/deanmalmgren/textract,https://github.com/deanmalmgren/textract,MIT,2014-07-03 20:36:59.000000,2021-01-18 14:04:17.000000,2019-11-14 08:37:39.000000,424,84.0,121.0,2944,556.0,extract text from any document. no muss. no fuss.,30.0,26,False,2019-08-26 15:05:53.000000,1.6.3,15.0,textract,conda-forge/textract,,,,192.0,,https://pypi.org/project/textract,2019-08-26 15:05:53.000000,192.0,17117.0,17315.0,https://anaconda.org/conda-forge/textract,2017-03-20 21:15:33.254000,10323.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n257,AutoGluon,awslabs/autogluon,,hyperopt,https://github.com/awslabs/autogluon,https://github.com/awslabs/autogluon,Apache-2.0,2019-07-29 18:51:24.000000,2021-01-28 07:39:18.000000,2021-01-28 07:39:17.000000,381,153.0,219.0,2935,483.0,\"AutoGluon: AutoML for Text, Image, and Tabular Data.\",50.0,26,True,2020-12-08 19:01:22.000000,0.0.15,309.0,autogluon,,,,['mxnet'],44.0,44.0,https://pypi.org/project/autogluon,2021-01-27 09:18:20.000000,0.0,12004.0,12004.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n258,ftfy,LuminosoInsight/python-ftfy,,nlp,https://github.com/LuminosoInsight/python-ftfy,https://github.com/LuminosoInsight/python-ftfy,MIT,2012-08-24 16:14:59.000000,2021-01-20 08:08:09.562000,2020-07-17 21:21:57.000000,101,15.0,92.0,2881,510.0,\"Fixes mojibake and other glitches in Unicode text, after the fact.\",17.0,26,True,2020-02-18 16:42:00.000000,5.6.1,41.0,ftfy,conda-forge/ftfy,,,,3441.0,2681.0,https://pypi.org/project/ftfy,2020-07-20 21:50:51.000000,760.0,236002.0,238088.0,https://anaconda.org/conda-forge/ftfy,2021-01-20 08:08:09.562000,93914.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n259,pomegranate,jmschrei/pomegranate,,probabilistics,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000000,2021-01-12 17:45:04.000000,2021-01-09 22:21:18.000000,462,32.0,540.0,2575,870.0,\"Fast, flexible and easy to use probabilistic modelling in Python.\",61.0,26,True,2020-07-12 21:28:17.000000,0.14.0,61.0,pomegranate,conda-forge/pomegranate,,,,442.0,386.0,https://pypi.org/project/pomegranate,2021-01-09 22:24:27.000000,56.0,17710.0,20083.0,https://anaconda.org/conda-forge/pomegranate,2020-11-01 16:22:04.857000,42725.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n260,Catalyst,catalyst-team/catalyst,,ml-experiments,https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13.000000,2021-01-28 07:15:14.000000,2021-01-21 11:13:00.000000,268,18.0,261.0,2409,1469.0,Accelerated deep learning R&D.,81.0,26,True,2020-12-20 10:12:32.000000,20.12,87.0,catalyst,,,,['pytorch'],315.0,277.0,https://pypi.org/project/catalyst,2021-01-24 15:16:31.000000,38.0,5164.0,5164.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n261,pygal,Kozea/pygal,,graph,https://github.com/Kozea/pygal,https://github.com/Kozea/pygal,LGPL-3.0,2011-09-23 10:17:50.000000,2020-12-24 20:11:00.000000,2020-10-14 16:41:45.000000,380,164.0,240.0,2317,1012.0,PYthon svg GrAph plotting Library.,69.0,26,False,2017-07-05 09:22:41.000000,2.4.0,74.0,pygal,conda-forge/pygal,,,,1152.0,,https://pypi.org/project/pygal,2020-10-14 13:06:35.000000,1152.0,49846.0,50145.0,https://anaconda.org/conda-forge/pygal,2019-06-04 02:55:56.728000,5694.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n262,gpustat,wookayin/gpustat,,gpu-utilities,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43.000000,2021-01-13 04:03:59.000000,2021-01-13 04:00:20.000000,183,20.0,47.0,2193,166.0,A simple command-line utility for querying and monitoring GPU status.,10.0,26,True,2019-07-22 06:37:00.000000,0.6.0,11.0,gpustat,conda-forge/gpustat,,,,650.0,592.0,https://pypi.org/project/gpustat,2021-01-02 05:59:41.000000,58.0,136869.0,137424.0,https://anaconda.org/conda-forge/gpustat,2020-11-24 19:59:04.772000,12210.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n263,Core ML Tools,apple/coremltools,,model-serialisation,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000000,2021-01-25 02:03:37.000000,2021-01-08 03:08:31.000000,319,315.0,306.0,2092,851.0,\"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.\",107.0,26,True,2020-10-10 18:21:00.000000,4.0,27.0,coremltools,,,,,589.0,456.0,https://pypi.org/project/coremltools,2020-10-10 18:16:12.000000,133.0,34019.0,34076.0,,,,,,,,1.0,2318.0,,,,,,,,,,,,,,,,,,,,,,\n264,Cufflinks,santosjorge/cufflinks,,data-viz,https://github.com/santosjorge/cufflinks,https://github.com/santosjorge/cufflinks,MIT,2014-11-19 20:59:33.000000,2020-10-07 16:12:54.000000,2020-10-07 16:12:53.000000,535,81.0,120.0,2067,450.0,Productivity Tools for Plotly + Pandas.,37.0,26,True,2020-03-01 17:42:01.000000,0.17.3,27.0,cufflinks,,,,['pandas'],2834.0,2600.0,https://pypi.org/project/cufflinks,2020-03-01 17:42:01.000000,234.0,42239.0,42239.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n265,aubio,aubio/aubio,,audio,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44.000000,2021-01-19 16:59:52.641000,2021-01-19 09:51:49.000000,296,104.0,173.0,2034,4111.0,a library for audio and music analysis.,24.0,26,False,2019-02-27 09:00:43.000000,0.4.9,10.0,aubio,conda-forge/aubio,,,,226.0,210.0,https://pypi.org/project/aubio,2019-02-08 11:21:02.000000,16.0,1153.0,9429.0,https://anaconda.org/conda-forge/aubio,2021-01-19 16:59:52.641000,380707.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n266,BoTorch,pytorch/botorch,,hyperopt,https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000000,2021-01-23 05:56:57.000000,2021-01-21 17:12:42.000000,174,40.0,113.0,1819,807.0,Bayesian optimization in PyTorch.,50.0,26,True,2020-12-08 06:47:25.000000,0.3.3,16.0,botorch,,,,['pytorch'],74.0,74.0,https://pypi.org/project/botorch,2020-12-08 06:47:25.000000,0.0,22369.0,22369.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n267,PyFunctional,EntilZha/PyFunctional,,data-pipelines,https://github.com/EntilZha/PyFunctional,https://github.com/EntilZha/PyFunctional,MIT,2015-02-05 17:17:51.000000,2021-01-12 19:21:06.000000,2021-01-12 19:14:24.000000,99,2.0,115.0,1773,516.0,Python library for creating data pipelines with chain functional programming.,23.0,26,True,2021-01-12 19:21:07.000000,1.4.3,14.0,pyfunctional,,,,,251.0,251.0,https://pypi.org/project/pyfunctional,2021-01-12 19:14:48.000000,0.0,26917.0,26917.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n268,langid,saffsd/langid.py,,nlp,https://github.com/saffsd/langid.py,https://github.com/saffsd/langid.py,BSD-3-Clause,2011-04-29 00:16:56.000000,2020-01-01 10:49:30.000000,2017-07-15 02:49:17.000000,265,25.0,45.0,1719,242.0,Stand-alone language identification system.,9.0,26,False,2016-04-05 22:34:15.000000,1.1.6,8.0,langid,,,,,855.0,605.0,https://pypi.org/project/langid,2016-04-05 22:34:15.000000,250.0,392202.0,392202.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n269,efficientnet,qubvel/efficientnet,,tensorflow-utils,https://github.com/qubvel/efficientnet,https://github.com/qubvel/efficientnet,Apache-2.0,2019-05-30 20:21:09.000000,2020-12-10 07:02:58.000000,2020-09-15 16:19:36.000000,378,49.0,55.0,1677,64.0,Implementation of EfficientNet model. Keras and TensorFlow Keras.,8.0,26,True,2020-09-15 16:26:00.000000,1.1.1,9.0,efficientnet,,,,['tensorflow'],496.0,494.0,https://pypi.org/project/efficientnet,2020-09-15 16:26:00.000000,2.0,59072.0,66374.0,,,,,,,,2.0,146043.0,,,,,,,,,,,,,,,,,,,,,,\n270,Pythran,serge-sans-paille/pythran,,others,https://github.com/serge-sans-paille/pythran,https://github.com/serge-sans-paille/pythran,BSD-3-Clause,2012-05-29 08:02:14.000000,2021-01-27 16:08:46.611000,2021-01-26 06:27:40.000000,134,99.0,541.0,1496,3316.0,Ahead of Time compiler for numeric kernels.,48.0,26,True,2020-12-09 20:06:55.000000,0.9.8,44.0,pythran,conda-forge/pythran,,,,61.0,48.0,https://pypi.org/project/pythran,2020-12-11 23:02:35.000000,13.0,5066.0,8887.0,https://anaconda.org/conda-forge/pythran,2021-01-27 16:08:46.611000,122297.0,,,,,2.0,,,,,,,,,,,,,,,pythran,python-pythran,,,,,,,\n271,tesserocr,sirfz/tesserocr,,ocr,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36.000000,2021-01-18 20:15:27.000000,2021-01-18 20:15:13.000000,185,60.0,141.0,1385,155.0,A Python wrapper for the tesseract-ocr API.,23.0,26,True,2020-03-17 17:45:44.000000,2.5.1,15.0,tesserocr,conda-forge/tesserocr,,,,502.0,452.0,https://pypi.org/project/tesserocr,2020-03-17 17:45:44.000000,50.0,24596.0,26762.0,https://anaconda.org/conda-forge/tesserocr,2021-01-13 16:38:14.456000,32498.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n272,TFX,tensorflow/tfx,,data-pipelines,https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000000,2021-01-28 10:16:08.000000,2021-01-28 04:47:58.000000,376,200.0,309.0,1294,3076.0,TFX is an end-to-end platform for deploying production ML pipelines.,101.0,26,True,2021-01-06 21:34:50.000000,0.26.0,38.0,tfx,,,,['tensorflow'],4.0,,https://pypi.org/project/tfx,2021-01-06 21:34:50.000000,4.0,93881.0,93881.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n273,agate,wireservice/agate,,others,https://github.com/wireservice/agate,https://github.com/wireservice/agate,MIT,2014-04-25 13:59:09.000000,2020-12-30 20:43:14.000000,2020-04-01 15:40:18.000000,131,54.0,588.0,1026,1355.0,A Python data analysis library that is optimized for humans instead of machines.,47.0,26,True,2018-03-11 14:37:30.000000,1.6.1,24.0,agate,conda-forge/agate,,,,582.0,490.0,https://pypi.org/project/agate,2018-03-11 14:37:30.000000,92.0,155912.0,157177.0,https://anaconda.org/conda-forge/agate,2018-08-19 06:02:58.597000,59462.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n274,TF Model Optimization,tensorflow/model-optimization,,tensorflow-utils,https://github.com/tensorflow/model-optimization,https://github.com/tensorflow/model-optimization,Apache-2.0,2018-10-31 20:34:28.000000,2021-01-28 03:06:31.000000,2021-01-22 02:37:46.000000,213,70.0,90.0,959,477.0,\"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.\",43.0,26,True,2020-09-14 04:46:03.000000,0.5.0,20.0,tensorflow-model-optimization,,,,['tensorflow'],555.0,552.0,https://pypi.org/project/tensorflow-model-optimization,2020-09-14 04:36:08.000000,3.0,46307.0,46307.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n275,pmdarima,alkaline-ml/pmdarima,,time-series-data,https://github.com/alkaline-ml/pmdarima,https://github.com/alkaline-ml/pmdarima,MIT,2017-03-30 14:58:30.000000,2021-01-20 15:57:54.000000,2021-01-20 15:47:36.000000,152,17.0,208.0,805,1023.0,\"A statistical library designed to fill the void in Python's time series analysis capabilities, including the..\",16.0,26,True,2020-12-02 23:17:04.000000,1.8.0,28.0,pmdarima,,,,,717.0,705.0,https://pypi.org/project/pmdarima,2020-12-02 23:17:04.000000,12.0,174726.0,174726.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n276,pyclustering,annoviko/pyclustering,,others,https://github.com/annoviko/pyclustering,https://github.com/annoviko/pyclustering,BSD-3-Clause,2014-02-25 18:59:03.000000,2021-01-25 21:14:55.053000,2020-12-03 10:56:55.000000,185,53.0,583.0,781,2066.0,\"pyclustring is a Python, C++ data mining library.\",26.0,26,True,2020-11-25 22:33:07.000000,0.10.1.2,46.0,pyclustering,conda-forge/pyclustering,,,,210.0,174.0,https://pypi.org/project/pyclustering,2020-11-25 22:41:20.000000,36.0,17889.0,18853.0,https://anaconda.org/conda-forge/pyclustering,2021-01-25 21:14:55.053000,12467.0,,,,,2.0,284.0,,,,,,,,,,,,,,,,,,,,,,\n277,Mesh,tensorflow/mesh,,distributed-ml,https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34.000000,2021-01-28 02:37:35.000000,2021-01-22 16:25:45.000000,124,72.0,12.0,721,577.0,Mesh TensorFlow: Model Parallelism Made Easier.,38.0,26,True,2020-12-17 23:10:07.000000,0.1.18,24.0,mesh-tensorflow,,,,['tensorflow'],516.0,488.0,https://pypi.org/project/mesh-tensorflow,2020-12-17 23:10:07.000000,28.0,83381.0,83381.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n278,TensorFlow Text,tensorflow/text,,nlp,https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000000,2021-01-28 00:43:51.000000,2021-01-28 00:33:25.000000,84,42.0,84.0,688,338.0,Making text a first-class citizen in TensorFlow.,32.0,26,True,2021-01-13 04:36:01.000000,2.4.3,32.0,tensorflow-text,,,,['tensorflow'],446.0,442.0,https://pypi.org/project/tensorflow-text,2021-01-13 04:24:47.000000,4.0,119858.0,119858.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n279,dask-ml,dask/dask-ml,,distributed-ml,https://github.com/dask/dask-ml,https://github.com/dask/dask-ml,BSD-3-Clause,2017-06-15 15:56:06.000000,2021-01-26 03:54:22.000000,2021-01-26 03:09:46.000000,182,173.0,204.0,684,754.0,Scalable Machine Learning with Dask.,61.0,26,True,2020-09-24 19:34:38.000000,1.7.0,26.0,dask-ml,conda-forge/dask-ml,,,,374.0,332.0,https://pypi.org/project/dask-ml,2020-09-24 19:34:38.000000,42.0,18029.0,22892.0,https://anaconda.org/conda-forge/dask-ml,2020-09-24 21:21:37.412000,189687.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n280,PyVista,pyvista/pyvista,,data-viz,https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000000,2021-01-28 06:38:25.000000,2021-01-28 06:01:40.000000,140,128.0,267.0,670,2077.0,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,53.0,26,True,2020-12-10 16:30:09.000000,0.27.4,32.0,pyvista,conda-forge/pyvista,,,['jupyter'],271.0,245.0,https://pypi.org/project/pyvista,2020-12-10 16:30:09.000000,26.0,7466.0,10286.0,https://anaconda.org/conda-forge/pyvista,2020-12-10 19:09:38.280000,56396.0,,,,,3.0,41.0,,,,,,,,,,,,,,,,,,,,,,\n281,tabulator-py,frictionlessdata/tabulator-py,,data-loading,https://github.com/frictionlessdata/tabulator-py,https://github.com/frictionlessdata/tabulator-py,MIT,2015-08-24 05:34:38.000000,2020-11-30 09:29:14.000000,2020-11-30 08:49:22.000000,40,,176.0,200,646.0,Python library for reading and writing tabular data via streams.,24.0,26,True,2020-11-30 09:29:14.000000,1.53.1,138.0,tabulator,conda-forge/tabulator-py,,,,562.0,458.0,https://pypi.org/project/tabulator,2020-11-30 09:29:14.000000,104.0,80282.0,81154.0,https://anaconda.org/conda-forge/tabulator-py,2018-07-24 12:57:07.018000,37501.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n282,DeepSpeech,mozilla/DeepSpeech,,audio,https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53.000000,2021-01-26 10:03:47.000000,,3047,98.0,,16405,,\"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..\",93.0,25,True,2020-12-10 17:22:09.000000,0.9.3,100.0,deepspeech,,,,['tensorflow'],29.0,,https://pypi.org/project/deepspeech,2020-12-19 10:05:12.000000,29.0,8281.0,8281.0,,,,,,,,2.0,,,-6.0,,,,,,,,,,,,,,,,,,,,\n283,spleeter,deezer/spleeter,,audio,https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000000,2021-01-21 16:39:20.000000,2021-01-15 13:51:15.000000,1565,96.0,404.0,15417,426.0,Deezer source separation library including pretrained models.,17.0,25,True,2021-01-08 18:22:28.000000,2.1.2,30.0,spleeter,conda-forge/spleeter,,,['tensorflow'],0.0,,https://pypi.org/project/spleeter,2021-01-08 18:22:28.000000,0.0,5030.0,68485.0,https://anaconda.org/conda-forge/spleeter,2020-06-30 14:33:43.220000,41238.0,,,,,2.0,907664.0,,,,,,,,,,,,,,,,,,,,,,\n284,MMDetection,open-mmlab/mmdetection,,image,https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000000,2021-01-28 13:18:44.000000,2021-01-28 11:49:42.000000,4631,324.0,2997.0,13470,1416.0,OpenMMLab Detection Toolbox and Benchmark.,185.0,25,True,2021-01-04 02:43:20.000000,2.8.0,8.0,,,,,['pytorch'],23.0,23.0,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n285,Ludwig,ludwig-ai/ludwig,,ml-frameworks,https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000000,2021-01-28 05:46:49.000000,2021-01-20 20:46:20.000000,882,110.0,409.0,7504,2049.0,Ludwig is a toolbox that allows to train and evaluate deep learning models without the need to write code.,86.0,25,True,2020-12-29 03:18:52.000000,0.3.2,15.0,ludwig,,,,['tensorflow'],88.0,76.0,https://pypi.org/project/ludwig,2020-11-16 23:58:45.000000,12.0,1017.0,1017.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n286,PyText,facebookresearch/pytext,,nlp,https://github.com/facebookresearch/pytext,https://github.com/facebookresearch/pytext,BSD-3-Clause,2018-07-31 23:40:46.000000,2021-01-28 07:06:16.000000,2021-01-27 23:43:09.000000,761,115.0,74.0,6119,1371.0,A natural language modeling framework based on PyTorch.,151.0,25,True,2020-06-08 23:30:58.000000,0.3.3,12.0,pytext-nlp,,,,['pytorch'],63.0,62.0,https://pypi.org/project/pytext-nlp,2020-04-27 08:09:25.000000,1.0,220.0,228.0,,,,,,,,2.0,215.0,,,,,,,,,,,,,,,,,,,,,,\n287,Trax,google/trax,,others,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000000,2021-01-28 14:28:59.000000,2021-01-28 14:28:49.000000,528,55.0,100.0,5619,1289.0,Trax Deep Learning with Clear Code and Speed.,56.0,25,True,2020-12-18 17:22:13.000000,1.3.7,20.0,trax,,,,,20.0,20.0,https://pypi.org/project/trax,2020-12-18 17:22:13.000000,,2456.0,2456.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n288,Milvus,milvus-io/milvus,,nn-search,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000000,2021-01-27 12:27:21.000000,2021-01-25 07:29:43.000000,777,218.0,1874.0,4982,5562.0,\"An open source embedding vector similarity search engine powered by Faiss, NMSLIB and Annoy.\",135.0,25,True,2021-01-21 05:32:04.000000,0.4.0,44.0,pymilvus,,milvusdb/milvus,,,6.0,,https://pypi.org/project/pymilvus,2021-01-21 05:32:04.000000,6.0,6390.0,20709.0,,,,https://hub.docker.com/r/milvusdb/milvus,2021-01-06 06:23:42.478311,9.0,229112.0,2.0,,,,,,,,,,,,,,,,,,,,,,,\n289,keras-rl,keras-rl/keras-rl,,reinforcement-learning,https://github.com/keras-rl/keras-rl,https://github.com/keras-rl/keras-rl,MIT,2016-07-02 15:53:12.000000,2020-11-20 07:32:13.000000,2019-11-11 22:14:54.000000,1284,39.0,211.0,4932,308.0,Deep Reinforcement Learning for Keras.,40.0,25,False,2018-06-01 07:52:24.000000,0.4.2,8.0,keras-rl,,,,['tensorflow'],501.0,450.0,https://pypi.org/project/keras-rl,2018-06-01 07:52:24.000000,51.0,1073.0,1073.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n290,Augmentor,mdbloice/Augmentor,,image,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55.000000,2020-11-10 05:20:01.000000,2020-03-09 11:32:02.000000,777,115.0,67.0,4303,511.0,Image augmentation library in Python for machine learning.,22.0,25,True,2020-01-17 11:59:53.000000,0.2.8,20.0,Augmentor,,,,,318.0,276.0,https://pypi.org/project/Augmentor,2020-01-17 11:59:53.000000,42.0,3385.0,3385.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n291,PyTorch3D,facebookresearch/pytorch3d,,image,https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,MIT,2019-10-25 02:23:45.000000,2021-01-28 01:32:23.000000,2021-01-28 01:32:16.000000,472,56.0,416.0,4265,365.0,PyTorch3D is FAIR's library of reusable components for deep learning with 3D data.,52.0,25,True,2020-11-12 10:28:29.000000,0.3.0,6.0,pytorch3d,pytorch3d/pytorch3d,,,['pytorch'],45.0,45.0,https://pypi.org/project/pytorch3d,2020-11-12 10:28:29.000000,,3710.0,4137.0,https://anaconda.org/pytorch3d/pytorch3d,2020-11-12 10:28:27.832000,5987.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n292,pyAudioAnalysis,tyiannak/pyAudioAnalysis,,audio,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13.000000,2021-01-25 09:10:48.000000,2021-01-04 18:37:38.000000,957,165.0,105.0,3720,675.0,\"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.\",23.0,25,True,2020-09-29 21:30:02.000000,0.3.6,15.0,pyAudioAnalysis,,,,,188.0,177.0,https://pypi.org/project/pyAudioAnalysis,2020-09-29 21:30:02.000000,11.0,5261.0,5261.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n293,BigDL,intel-analytics/BigDL,,distributed-ml,https://github.com/intel-analytics/BigDL,https://github.com/intel-analytics/BigDL,Apache-2.0,2016-08-29 07:59:50.000000,2021-01-21 17:42:35.000000,2021-01-21 17:42:34.000000,901,178.0,727.0,3694,2659.0,BigDL: Distributed Deep Learning Framework for Apache Spark.,71.0,25,True,2021-01-05 05:55:32.000000,0.12.1,37.0,bigdl,,,,,28.0,22.0,https://pypi.org/project/bigdl,2020-12-29 06:08:45.000000,6.0,1476.0,1476.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,com.intel.analytics.bigdl:bigdl-SPARK_2.4,https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4,2020-12-05 03:54:47.000000,0.0,,,\n294,pyfolio,quantopian/pyfolio,,financial-data,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39.000000,2020-07-29 16:06:37.000000,2020-07-15 13:46:58.000000,1078,124.0,263.0,3436,1184.0,Portfolio and risk analytics in Python.,55.0,25,True,2019-04-15 14:54:03.000000,0.9.1,21.0,pyfolio,conda-forge/pyfolio,,,,247.0,193.0,https://pypi.org/project/pyfolio,2019-04-15 14:54:03.000000,54.0,6078.0,6234.0,https://anaconda.org/conda-forge/pyfolio,2020-05-16 14:11:57.267000,5477.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n295,Stable Baselines,hill-a/stable-baselines,,reinforcement-learning,https://github.com/hill-a/stable-baselines,https://github.com/hill-a/stable-baselines,MIT,2018-07-02 14:28:59.000000,2021-01-27 15:25:31.000000,2020-12-23 16:27:08.000000,571,131.0,719.0,2816,835.0,\"A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.\",110.0,25,True,2020-08-05 19:45:11.000000,2.10.1,30.0,stable-baselines,,,,,50.0,,https://pypi.org/project/stable-baselines,2020-08-05 19:42:14.000000,50.0,6221.0,6221.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n296,nevergrad,facebookresearch/nevergrad,,hyperopt,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000000,2021-01-28 11:50:54.000000,2021-01-28 11:50:23.000000,270,79.0,118.0,2802,763.0,A Python toolbox for performing gradient-free optimization.,42.0,25,True,2020-08-04 12:13:07.000000,0.4.2,26.0,nevergrad,conda-forge/nevergrad,,,,132.0,118.0,https://pypi.org/project/nevergrad,2021-01-19 09:34:05.000000,14.0,6976.0,7609.0,https://anaconda.org/conda-forge/nevergrad,2020-12-14 18:21:29.267000,5702.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n297,vaderSentiment,cjhutto/vaderSentiment,,nlp,https://github.com/cjhutto/vaderSentiment,https://github.com/cjhutto/vaderSentiment,MIT,2014-11-17 16:31:45.000000,2020-07-17 19:47:37.000000,2020-05-22 15:33:43.000000,719,25.0,74.0,2761,122.0,VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based..,10.0,25,True,2020-05-22 15:07:00.000000,3.3.2,15.0,vadersentiment,,,,,2521.0,2235.0,https://pypi.org/project/vadersentiment,2020-05-22 15:07:00.000000,286.0,81786.0,81786.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n298,DeepChem,deepchem/deepchem,,others,https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000000,2021-01-28 02:36:50.000000,2021-01-27 20:57:14.000000,907,339.0,847.0,2701,6082.0,\"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.\",146.0,25,True,2021-01-13 21:21:38.000000,2.4.0,201.0,deepchem,,,,['tensorflow'],40.0,36.0,https://pypi.org/project/deepchem,2021-01-27 21:01:54.000000,4.0,1193.0,1193.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n299,Neural Network Libraries,sony/nnabla,,ml-frameworks,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10.000000,2021-01-28 00:52:05.000000,2021-01-22 21:56:09.000000,303,35.0,19.0,2401,2372.0,Neural Network Libraries.,55.0,25,True,2020-12-24 02:44:34.000000,1.15.0,51.0,nnabla,,,,,34.0,,https://pypi.org/project/nnabla,2020-12-24 02:44:34.000000,34.0,1330.0,1342.0,,,,,,,,3.0,521.0,,,,,,,,,,,,,,,,,,,,,,\n300,Captum,pytorch/captum,,interpretability,https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000000,2021-01-28 09:21:01.000000,2021-01-27 23:41:24.000000,208,47.0,139.0,2096,785.0,Model interpretability and understanding for PyTorch.,67.0,25,True,2021-01-23 18:11:12.000000,0.3.1,5.0,captum,,,,['pytorch'],108.0,108.0,https://pypi.org/project/captum,2021-01-22 20:55:47.000000,0.0,7181.0,7181.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n301,spark-nlp,JohnSnowLabs/spark-nlp,,nlp,https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000000,2021-01-28 12:49:47.000000,2021-01-28 12:48:04.000000,394,72.0,341.0,1880,5999.0,State of the Art Natural Language Processing.,74.0,25,True,2021-01-25 13:57:52.000000,2.7.2,73.0,spark-nlp,,,,['spark'],0.0,,https://pypi.org/project/spark-nlp,2021-01-25 10:58:44.000000,0.0,337492.0,337492.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n302,TextDistance,life4/textdistance,,nlp,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10.000000,2021-01-27 15:06:38.000000,2020-04-13 10:34:26.000000,162,9.0,,1870,289.0,\"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..\",7.0,25,True,2020-04-13 10:17:59.000000,.4.2.0,20.0,textdistance,conda-forge/textdistance,,,,339.0,311.0,https://pypi.org/project/textdistance,2020-04-13 09:59:27.000000,28.0,84520.0,85128.0,https://anaconda.org/conda-forge/textdistance,2020-11-10 18:38:06.222000,19400.0,,,,,2.0,98.0,,,,,,,,,,,,,,,,,,,,,,\n303,facenet-pytorch,timesler/facenet-pytorch,,image,https://github.com/timesler/facenet-pytorch,https://github.com/timesler/facenet-pytorch,MIT,2019-05-25 01:29:24.000000,2020-11-19 06:56:24.000000,2020-11-19 06:56:23.000000,381,26.0,84.0,1797,229.0,Pretrained Pytorch face detection (MTCNN) and recognition (InceptionResnet) models.,11.0,25,True,2020-11-19 06:49:36.000000,2.5.1,30.0,facenet-pytorch,,,,['pytorch'],264.0,261.0,https://pypi.org/project/facenet-pytorch,2020-11-19 06:49:36.000000,3.0,3103.0,7069.0,,,,,,,,2.0,55534.0,,,,,,,,,,,,,,,,,,,,,,\n304,Foolbox,bethgelab/foolbox,,adversarial,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48.000000,2021-01-22 09:03:53.000000,2020-12-20 18:05:23.000000,314,42.0,262.0,1767,1637.0,\"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.\",30.0,25,True,2020-09-26 06:49:13.000000,3.2.1,66.0,foolbox,,,,,183.0,165.0,https://pypi.org/project/foolbox,2020-09-26 06:49:13.000000,18.0,929.0,929.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n305,StellarGraph,stellargraph/stellargraph,,graph,https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51.000000,2021-01-28 12:22:45.000000,2021-01-25 04:51:31.000000,251,211.0,701.0,1743,2515.0,StellarGraph - Machine Learning on Graphs.,29.0,25,True,2020-06-30 05:15:21.000000,1.2.1,25.0,stellargraph,,,,['tensorflow'],45.0,43.0,https://pypi.org/project/stellargraph,2020-06-25 09:38:56.000000,2.0,4204.0,4204.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n306,pgmpy,pgmpy/pgmpy,,probabilistics,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000000,2021-01-10 12:14:51.000000,2021-01-10 12:14:38.000000,556,224.0,493.0,1686,6.0,Python Library for learning (Structure and Parameter) and inference (Statistical and Causal) in Bayesian Networks.,88.0,25,True,2020-12-30 13:56:53.000000,0.1.13,12.0,pgmpy,,,,,193.0,181.0,https://pypi.org/project/pgmpy,2020-12-30 13:01:04.000000,12.0,19258.0,19265.0,,,,,,,,3.0,52.0,,,,,,,,,,,,,,,,,,,,,,\n307,pytorch-optimizer,jettify/pytorch-optimizer,,pytorch-utils,https://github.com/jettify/pytorch-optimizer,https://github.com/jettify/pytorch-optimizer,Apache-2.0,2020-01-03 03:16:39.000000,2021-01-28 10:35:28.000000,2021-01-28 10:35:26.000000,152,10.0,23.0,1653,347.0,torch-optimizer -- collection of optimizers for Pytorch.,19.0,25,True,2021-01-01 16:51:15.000000,0.1.0,19.0,torch_optimizer,,,,['pytorch'],107.0,107.0,https://pypi.org/project/torch_optimizer,2021-01-01 16:51:15.000000,0.0,10330.0,10330.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n308,HyperTools,ContextLab/hypertools,,data-viz,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25.000000,2021-01-06 14:11:39.000000,2021-01-06 14:11:38.000000,151,69.0,122.0,1610,1591.0,A Python toolbox for gaining geometric insights into high-dimensional data.,21.0,25,True,2020-10-02 21:38:16.000000,0.6.3,19.0,hypertools,,,,,109.0,100.0,https://pypi.org/project/hypertools,2020-10-02 21:41:53.000000,9.0,176.0,176.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n309,causalml,uber/causalml,,others,https://github.com/uber/causalml,https://github.com/uber/causalml,Apache-2.0,2019-07-09 02:08:58.000000,2021-01-27 16:54:00.000000,2021-01-22 02:34:46.000000,241,19.0,130.0,1580,298.0,Uplift modeling and causal inference with machine learning algorithms.,23.0,25,True,2020-10-23 22:53:43.000000,0.9.0,12.0,causalml,,,,,11.0,11.0,https://pypi.org/project/causalml,2020-10-23 22:44:35.000000,,8704.0,8704.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n310,category_encoders,scikit-learn-contrib/category_encoders,,sklearn-utils,https://github.com/scikit-learn-contrib/category_encoders,https://github.com/scikit-learn-contrib/category_encoders,BSD-3-Clause,2015-11-29 19:32:37.000000,2020-11-10 15:17:22.000000,2020-07-31 10:43:44.000000,292,64.0,135.0,1563,671.0,A library of sklearn compatible categorical variable encoders.,35.0,25,True,2020-04-29 02:09:51.000000,2.2.2,19.0,category_encoders,conda-forge/category_encoders,,,['sklearn'],23.0,,https://pypi.org/project/category_encoders,2018-10-14 14:15:54.000000,23.0,155292.0,156994.0,https://anaconda.org/conda-forge/category_encoders,2020-04-29 22:37:35.948000,91936.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n311,swifter,jmcarpenter2/swifter,,data-containers,https://github.com/jmcarpenter2/swifter,https://github.com/jmcarpenter2/swifter,MIT,2018-04-07 21:37:19.000000,2020-12-19 19:11:45.000000,2020-12-19 19:11:44.000000,68,14.0,76.0,1514,423.0,A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner.,14.0,25,True,2020-10-11 22:42:57.000000,1.0.7,71.0,swifter,conda-forge/swifter,,,['pandas'],292.0,276.0,https://pypi.org/project/swifter,2020-10-11 22:42:57.000000,16.0,41001.0,44543.0,https://anaconda.org/conda-forge/swifter,2020-09-20 15:08:56.885000,74388.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n312,tslearn,tslearn-team/tslearn,,time-series-data,https://github.com/tslearn-team/tslearn,https://github.com/tslearn-team/tslearn,BSD-2-Clause,2017-05-04 13:08:13.000000,2021-01-26 12:41:22.000000,2021-01-25 15:18:03.000000,221,58.0,166.0,1456,,A machine learning toolkit dedicated to time-series data.,29.0,25,True,2021-01-25 15:19:11.000000,0.5.0.5,92.0,tslearn,conda-forge/tslearn,,,['sklearn'],207.0,185.0,https://pypi.org/project/tslearn,2021-01-25 15:28:45.000000,22.0,55085.0,60376.0,https://anaconda.org/conda-forge/tslearn,2021-01-25 17:55:55.394000,179896.0,,,,,2.0,,,-3.0,,,,,,,,,,,,,,,,,,,,\n313,streamparse,Parsely/streamparse,,data-pipelines,https://github.com/Parsely/streamparse,https://github.com/Parsely/streamparse,Apache-2.0,2014-05-02 20:33:50.000000,2020-12-18 18:44:04.000000,2020-12-18 18:43:59.000000,219,69.0,263.0,1426,1059.0,\"Run Python in Apache Storm topologies. Pythonic API, CLI tooling, and a topology DSL.\",40.0,25,True,2020-10-07 19:53:15.000000,4.0.0,47.0,streamparse,,,,,73.0,47.0,https://pypi.org/project/streamparse,2020-10-07 19:45:19.000000,26.0,1567.0,1567.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n314,chainercv,chainer/chainercv,,image,https://github.com/chainer/chainercv,https://github.com/chainer/chainercv,MIT,2017-02-13 04:15:10.000000,2020-02-03 01:27:17.000000,2020-01-07 11:48:31.000000,318,54.0,168.0,1425,4930.0,ChainerCV: a Library for Deep Learning in Computer Vision.,39.0,25,True,2019-06-12 11:55:02.000000,0.13.1,23.0,chainercv,,,,,245.0,221.0,https://pypi.org/project/chainercv,2019-05-31 08:53:39.000000,24.0,3042.0,3042.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n315,jellyfish,jamesturk/jellyfish,,nlp,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,BSD-2-Clause,2010-07-09 20:41:11.000000,2021-01-08 15:04:47.681000,2020-12-30 16:47:13.000000,124,9.0,86.0,1387,,a python library for doing approximate and phonetic matching of strings.,20.0,25,True,2020-05-21 20:37:01.000000,0.8.2,27.0,jellyfish,conda-forge/jellyfish,,,,2702.0,2056.0,https://pypi.org/project/jellyfish,2020-05-21 20:37:01.000000,646.0,655328.0,657394.0,https://anaconda.org/conda-forge/jellyfish,2021-01-08 15:04:47.681000,107439.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n316,mtcnn,ipazc/mtcnn,,image,https://github.com/ipazc/mtcnn,https://github.com/ipazc/mtcnn,MIT,2018-01-05 04:08:32.000000,2021-01-13 23:50:59.000000,2021-01-13 23:50:58.000000,373,53.0,36.0,1380,55.0,\"MTCNN face detection implementation for TensorFlow, as a PIP package.\",14.0,25,True,2019-11-14 17:37:05.000000,0.1.0,10.0,mtcnn,,,,['tensorflow'],879.0,837.0,https://pypi.org/project/mtcnn,2019-11-14 17:37:05.000000,42.0,10324.0,10324.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n317,Ax,facebook/Ax,,hyperopt,https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000000,2021-01-27 18:45:04.000000,2021-01-27 18:44:56.000000,140,35.0,178.0,1374,911.0,Adaptive Experimentation Platform.,91.0,25,True,2020-12-08 19:07:48.000000,0.1.19,20.0,ax-platform,,,,['pytorch'],128.0,124.0,https://pypi.org/project/ax-platform,2020-12-08 19:07:48.000000,4.0,13549.0,13549.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n318,dtreeviz,parrt/dtreeviz,,interpretability,https://github.com/parrt/dtreeviz,https://github.com/parrt/dtreeviz,MIT,2018-08-13 21:45:15.000000,2021-01-27 00:33:05.000000,2021-01-27 00:30:21.000000,186,15.0,69.0,1353,316.0,A python library for decision tree visualization and model interpretation.,14.0,25,True,2021-01-27 00:33:05.000000,1.1.4,21.0,dtreeviz,,,,,106.0,102.0,https://pypi.org/project/dtreeviz,2021-01-27 00:31:39.000000,4.0,12243.0,12243.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n319,ViZDoom,mwydmuch/ViZDoom,,reinforcement-learning,https://github.com/mwydmuch/ViZDoom,https://github.com/mwydmuch/ViZDoom,MIT,2015-06-26 18:38:23.000000,2021-01-25 16:15:57.000000,2021-01-25 16:15:54.000000,282,87.0,328.0,1159,1463.0,Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information.,44.0,25,True,2020-10-29 15:54:47.000000,1.1.8,19.0,vizdoom,,,,,117.0,105.0,https://pypi.org/project/vizdoom,2020-10-29 15:56:20.000000,12.0,324.0,504.0,,,,,,,,2.0,10464.0,,,,,,,,,,,,,,,,,,,,,,\n320,ArcGIS API,Esri/arcgis-python-api,,geospatial-data,https://github.com/Esri/arcgis-python-api,https://github.com/Esri/arcgis-python-api,Apache-2.0,2016-03-16 01:09:14.000000,2021-01-27 23:12:21.000000,2021-01-26 04:34:34.000000,698,111.0,197.0,951,3011.0,Documentation and samples for ArcGIS API for Python.,61.0,25,True,2021-01-27 23:12:21.000000,1.8.4,26.0,arcgis,,esridocker/arcgis-api-python-notebook,,,20.0,,https://pypi.org/project/arcgis,2021-01-27 23:04:37.000000,20.0,17437.0,17500.0,,,,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,2020-03-06 00:53:45.164342,29.0,3688.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n321,arviz,arviz-devs/arviz,,interpretability,https://github.com/arviz-devs/arviz,https://github.com/arviz-devs/arviz,Apache-2.0,2015-07-29 11:51:10.000000,2021-01-28 13:52:39.000000,2021-01-27 23:12:33.000000,175,108.0,416.0,935,,Exploratory analysis of Bayesian models with Python.,63.0,25,True,2021-01-17 23:32:12.000000,0.11.0,21.0,arviz,conda-forge/arviz,,,,725.0,689.0,https://pypi.org/project/arviz,2021-01-17 23:32:12.000000,36.0,99110.0,107901.0,https://anaconda.org/conda-forge/arviz,2021-01-18 02:16:25.172000,175776.0,,,,,2.0,98.0,,-3.0,,,,,,,,,,,,,,,,,,,,\n322,bcolz,Blosc/bcolz,,data-containers,https://github.com/Blosc/bcolz,https://github.com/Blosc/bcolz,BSD-3-Clause,2010-08-18 15:27:02.000000,2020-09-10 12:12:51.000000,2020-09-10 12:12:45.000000,115,126.0,120.0,908,1280.0,A columnar data container that can be compressed.,33.0,25,True,2018-04-13 07:44:26.000000,1.2.1,23.0,bcolz,conda-forge/bcolz,,,,2457.0,1489.0,https://pypi.org/project/bcolz,2018-04-13 07:44:26.000000,968.0,16013.0,20449.0,https://anaconda.org/conda-forge/bcolz,2019-11-05 21:09:48.045000,208501.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n323,empyrical,quantopian/empyrical,,financial-data,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52.000000,2020-10-14 13:28:13.625000,2020-10-14 13:22:39.000000,221,27.0,26.0,702,167.0,Common financial risk and performance metrics. Used by zipline and pyfolio.,22.0,25,True,2020-10-13 21:28:25.000000,0.5.5,20.0,empyrical,conda-forge/empyrical,,,,728.0,506.0,https://pypi.org/project/empyrical,2020-10-13 17:31:37.000000,222.0,21849.0,22112.0,https://anaconda.org/conda-forge/empyrical,2020-10-14 13:28:13.625000,9222.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n324,Satpy,pytroll/satpy,,geospatial-data,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000000,2021-01-28 10:04:32.000000,2021-01-28 10:04:31.000000,191,300.0,289.0,672,8170.0,Python package for earth-observing satellite data processing.,103.0,25,False,2021-01-07 03:03:07.000000,0.25.1,63.0,satpy,conda-forge/satpy,,,,45.0,39.0,https://pypi.org/project/satpy,2021-01-07 03:03:07.000000,6.0,259.0,1996.0,https://anaconda.org/conda-forge/satpy,2021-01-07 15:09:16.887000,52119.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n325,mahotas,luispedro/mahotas,,image,https://github.com/luispedro/mahotas,https://github.com/luispedro/mahotas,MIT,2010-01-31 00:13:06.000000,2021-01-22 05:47:20.379000,2021-01-13 11:55:02.000000,129,16.0,57.0,664,1276.0,Computer Vision in Python.,30.0,25,True,2020-06-11 11:35:18.000000,1.4.11,57.0,mahotas,conda-forge/mahotas,,,,748.0,558.0,https://pypi.org/project/mahotas,2020-08-16 17:22:48.000000,190.0,8686.0,13006.0,https://anaconda.org/conda-forge/mahotas,2021-01-22 05:47:20.379000,250608.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n326,pyahocorasick,WojciechMula/pyahocorasick,,nlp,https://github.com/WojciechMula/pyahocorasick,https://github.com/WojciechMula/pyahocorasick,BSD-3-Clause,2013-05-30 19:55:46.000000,2021-01-26 17:43:38.000000,2021-01-26 17:43:28.000000,88,32.0,66.0,572,410.0,Python module (C extension and plain python) implementing Aho-Corasick algorithm.,20.0,25,True,2021-01-26 17:38:47.000000,1.4.1,23.0,pyahocorasick,conda-forge/pyahocorasick,,,,581.0,477.0,https://pypi.org/project/pyahocorasick,2021-01-26 17:38:47.000000,104.0,77490.0,80398.0,https://anaconda.org/conda-forge/pyahocorasick,2020-10-13 12:20:05.350000,107623.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n327,SMAC3,automl/SMAC3,,hyperopt,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-3-Clause,2016-08-17 10:58:05.000000,2021-01-27 16:18:49.000000,2020-10-29 10:14:55.000000,153,76.0,250.0,555,1888.0,Sequential Model-based Algorithm Configuration.,30.0,25,True,2020-10-29 10:57:56.000000,0.13.1,29.0,smac,,,,,58.0,,https://pypi.org/project/smac,2020-10-29 10:57:56.000000,58.0,6096.0,6096.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n328,TensorFlow I/O,tensorflow/io,,tensorflow-utils,https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05.000000,2021-01-28 04:10:12.000000,2021-01-27 05:48:15.000000,147,115.0,273.0,409,1343.0,\"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.\",72.0,25,True,2020-12-15 00:45:37.000000,0.17.0,21.0,tensorflow-io,,,,['tensorflow'],98.0,98.0,https://pypi.org/project/tensorflow-io,2020-12-15 00:42:35.000000,0.0,34080.0,34080.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n329,mpi4py,mpi4py/mpi4py,,distributed-ml,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-3-Clause,2013-09-05 14:44:25.000000,2021-01-28 11:11:53.000000,2021-01-28 11:08:53.000000,61,2.0,6.0,377,2209.0,Python bindings for MPI.,13.0,25,True,2020-07-27 06:40:19.000000,3.0.3,13.0,mpi4py,conda-forge/mpi4py,,,,700.0,,https://pypi.org/project/mpi4py,2019-11-04 13:05:10.000000,700.0,106910.0,116931.0,https://anaconda.org/conda-forge/mpi4py,2021-01-19 17:48:43.682000,514091.0,,,,,2.0,810.0,,,,,,,,,,,,,,,,,,,,,,\n330,python-soundfile,bastibe/python-soundfile,,audio,https://github.com/bastibe/python-soundfile,https://github.com/bastibe/python-soundfile,BSD-3-Clause,2013-08-27 13:36:52.000000,2021-01-13 07:52:51.000000,2020-12-01 18:42:47.000000,43,57.0,87.0,361,493.0,\"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.\",19.0,25,True,2019-12-04 10:03:39.000000,0.10.3post1,7.0,soundfile,,,,,6151.0,5411.0,https://pypi.org/project/soundfile,2018-04-19 07:13:19.000000,740.0,298659.0,298683.0,,,,,,,,2.0,2023.0,,,,,,,,,,,,,,,,,,,,,,\n331,hvPlot,holoviz/hvplot,,data-viz,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000000,2021-01-17 16:07:26.000000,2021-01-17 16:07:25.000000,49,98.0,220.0,338,367.0,\"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.\",22.0,25,True,2020-12-16 22:59:26.000000,0.7.0,9.0,hvplot,conda-forge/hvplot,,,,463.0,448.0,https://pypi.org/project/hvplot,2020-06-02 00:27:18.000000,15.0,27011.0,29091.0,https://anaconda.org/conda-forge/hvplot,2021-01-06 23:26:19.353000,60327.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n332,PaddleOCR,PaddlePaddle/PaddleOCR,,ocr,https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000000,2021-01-28 11:15:36.000000,2021-01-28 11:15:35.000000,1924,388.0,839.0,10161,,\"Awesome multilingual OCR toolkits based on PaddlePaddle practical ultra lightweight OCR system, provide data..\",41.0,24,True,2020-12-18 04:01:23.000000,2.0.2,10.0,paddleocr,,,,['paddle'],19.0,19.0,https://pypi.org/project/paddleocr,2020-12-18 04:01:23.000000,0.0,1207.0,1207.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n333,ParlAI,facebookresearch/ParlAI,,nlp,https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44.000000,2021-01-27 03:02:34.000000,2021-01-27 02:24:50.000000,1439,90.0,837.0,6942,3603.0,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,139.0,24,True,2021-01-19 19:10:47.000000,1.0.0,13.0,parlai,,,,['pytorch'],6.0,6.0,https://pypi.org/project/parlai,2021-01-19 19:10:47.000000,,735.0,735.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n334,NuPIC,numenta/nupic,,ml-frameworks,https://github.com/numenta/nupic,https://github.com/numenta/nupic,AGPL-3.0,2013-04-05 23:14:27.000000,2020-12-11 19:56:36.000000,2019-10-23 20:45:07.000000,1585,456.0,1337.0,6193,6625.0,\"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..\",120.0,24,False,2018-06-01 15:37:54.000000,1.0.5,53.0,nupic,,,,,130.0,92.0,https://pypi.org/project/nupic,2018-06-01 15:37:54.000000,38.0,896.0,896.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n335,EfficientNet-PyTorch,lukemelas/EfficientNet-PyTorch,,pytorch-utils,https://github.com/lukemelas/EfficientNet-PyTorch,https://github.com/lukemelas/EfficientNet-PyTorch,Apache-2.0,2019-05-30 05:24:11.000000,2020-12-28 15:43:30.000000,2020-10-09 16:24:04.000000,1067,111.0,117.0,5390,141.0,A PyTorch implementation of EfficientNet.,21.0,24,True,2020-08-26 03:00:05.000000,0.7.0,12.0,efficientnet-pytorch,,,,['pytorch'],14.0,,https://pypi.org/project/efficientnet-pytorch,2020-08-26 03:00:05.000000,14.0,26908.0,57465.0,,,,,,,,1.0,305578.0,,,,,,,,,,,,,,,,,,,,,,\n336,Edward,blei-lab/edward,,probabilistics,https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05.000000,2019-10-22 20:30:48.000000,2018-07-25 01:28:08.000000,767,212.0,327.0,4598,1796.0,\"A probabilistic programming language in TensorFlow. Deep generative models, variational inference.\",87.0,24,False,2018-01-22 06:03:37.000000,1.3.5,28.0,edward,,,,['tensorflow'],242.0,205.0,https://pypi.org/project/edward,2018-01-22 06:03:05.000000,37.0,484.0,484.0,,,,,,,,3.0,10.0,,,,,,,,,,,,,,,,,,,,,,\n337,textgenrnn,minimaxir/textgenrnn,,nlp,https://github.com/minimaxir/textgenrnn,https://github.com/minimaxir/textgenrnn,MIT,2017-08-07 02:13:37.000000,2020-12-25 03:33:19.000000,2020-07-14 02:41:10.000000,654,107.0,79.0,4232,174.0,Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines..,19.0,24,True,2020-02-03 01:07:00.000000,2.0.0,14.0,textgenrnn,,,,['tensorflow'],620.0,606.0,https://pypi.org/project/textgenrnn,2020-02-02 21:16:15.000000,14.0,1806.0,1817.0,,,,,,,,3.0,394.0,,,,,,,,,,,,,,,,,,,,,,\n338,Lucid,tensorflow/lucid,,interpretability,https://github.com/tensorflow/lucid,https://github.com/tensorflow/lucid,Apache-2.0,2018-01-25 17:41:44.000000,2021-01-26 21:54:54.000000,2021-01-26 21:54:53.000000,555,67.0,93.0,4042,636.0,A collection of infrastructure and tools for research in neural network interpretability.,35.0,24,True,2019-01-17 19:46:43.000000,0.3.9-alpha,16.0,lucid,,,,['tensorflow'],429.0,423.0,https://pypi.org/project/lucid,2018-12-20 00:26:11.000000,6.0,510.0,510.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n339,Lasagne,Lasagne/Lasagne,,ml-frameworks,https://github.com/Lasagne/Lasagne,https://github.com/Lasagne/Lasagne,MIT,2014-09-11 15:31:41.000000,2019-11-20 20:28:31.000000,2019-11-20 20:28:30.000000,983,139.0,402.0,3771,1161.0,Lightweight library to build and train neural networks in Theano.,72.0,24,False,2015-08-13 21:00:09.000000,0.1,1.0,lasagne,,,,,1032.0,779.0,https://pypi.org/project/lasagne,2015-08-13 21:10:53.000000,253.0,1352.0,1352.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n340,TensorFlowOnSpark,yahoo/TensorFlowOnSpark,,distributed-ml,https://github.com/yahoo/TensorFlowOnSpark,https://github.com/yahoo/TensorFlowOnSpark,Apache-2.0,2017-01-20 18:15:57.000000,2021-01-27 02:31:23.000000,2021-01-27 02:31:19.000000,928,6.0,336.0,3620,592.0,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,33.0,24,True,2020-12-18 21:57:51.000000,2.2.2,29.0,tensorflowonspark,,,,\"['tensorflow', 'spark']\",5.0,,https://pypi.org/project/tensorflowonspark,2020-12-18 18:32:09.000000,5.0,57077.0,57077.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n341,espnet,espnet/espnet,,audio,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000000,2021-01-28 14:17:37.000000,2021-01-28 14:17:36.000000,1062,134.0,1040.0,3368,10615.0,End-to-End Speech Processing Toolkit.,137.0,24,True,2021-01-15 08:52:23.000000,0.9.7,32.0,espnet,,,,,4.0,4.0,https://pypi.org/project/espnet,2021-01-15 08:52:23.000000,0.0,868.0,869.0,,,,,,,,3.0,59.0,,,,,,,,,,,,,,,,,,,,,,\n342,torchdiffeq,rtqichen/torchdiffeq,,pytorch-utils,https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25.000000,2021-01-19 18:51:33.000000,2021-01-19 18:50:31.000000,574,15.0,109.0,3326,208.0,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,19.0,24,True,2021-01-19 18:51:18.000000,0.2.0,4.0,torchdiffeq,,,,['pytorch'],59.0,59.0,https://pypi.org/project/torchdiffeq,2021-01-19 18:51:18.000000,0.0,1889.0,1889.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n343,T5,google-research/text-to-text-transfer-transformer,,nlp,https://github.com/google-research/text-to-text-transfer-transformer,https://github.com/google-research/text-to-text-transfer-transformer,Apache-2.0,2019-10-17 21:45:14.000000,2021-01-27 01:17:44.000000,2021-01-25 18:01:23.000000,421,38.0,294.0,3163,410.0,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,28.0,24,True,2020-12-18 21:12:02.000000,0.8.1,25.0,t5,,,,['tensorflow'],21.0,21.0,https://pypi.org/project/t5,2020-12-18 21:12:02.000000,0.0,5507.0,5507.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n344,pytorch-summary,sksq96/pytorch-summary,,pytorch-utils,https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04.000000,2020-09-11 22:33:42.000000,2020-08-07 01:16:40.000000,342,100.0,36.0,2891,56.0,Model summary in PyTorch similar to `model.summary()` in Keras.,11.0,24,True,2018-09-26 05:07:28.000000,1.5.1,12.0,torchsummary,,,,['pytorch'],1938.0,1820.0,https://pypi.org/project/torchsummary,2018-09-26 05:07:28.000000,118.0,33024.0,33024.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n345,TensorForce,tensorforce/tensorforce,,reinforcement-learning,https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22.000000,2021-01-21 21:27:05.000000,2021-01-21 21:26:58.000000,472,8.0,539.0,2848,2014.0,Tensorforce: a TensorFlow library for applied reinforcement learning.,76.0,24,True,2020-10-03 16:00:39.000000,0.6.2,12.0,tensorforce,,,,['tensorflow'],23.0,,https://pypi.org/project/tensorforce,2019-09-07 13:56:18.000000,23.0,663.0,663.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n346,xLearn,aksnzhy/xlearn,,ml-frameworks,https://github.com/aksnzhy/xlearn,https://github.com/aksnzhy/xlearn,Apache-2.0,2017-06-10 08:09:31.000000,2021-01-28 14:17:44.000000,2020-03-03 10:12:35.000000,487,177.0,107.0,2831,1340.0,\"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..\",30.0,24,True,2019-04-25 02:10:05.000000,0.4.4,15.0,xlearn,,,,,41.0,40.0,https://pypi.org/project/xlearn,2018-12-04 11:05:06.000000,1.0,5447.0,5514.0,,,,,,,,3.0,2278.0,,,,,,,,,,,,,,,,,,,,,,\n347,Chartify,spotify/chartify,,data-viz,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05.000000,2021-01-16 19:45:00.000000,2020-11-02 22:11:04.000000,250,40.0,30.0,2815,186.0,Python library that makes it easy for data scientists to create charts.,19.0,24,True,2020-11-02 22:14:08.000000,3.0.3,16.0,chartify,conda-forge/chartify,,,,57.0,52.0,https://pypi.org/project/chartify,2020-11-02 22:14:08.000000,5.0,3103.0,3557.0,https://anaconda.org/conda-forge/chartify,2020-11-07 19:52:50.628000,11823.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n348,PML,KevinMusgrave/pytorch-metric-learning,,pytorch-utils,https://github.com/KevinMusgrave/pytorch-metric-learning,https://github.com/KevinMusgrave/pytorch-metric-learning,MIT,2019-10-23 17:20:35.000000,2021-01-21 06:14:22.000000,2021-01-21 06:14:10.000000,356,33.0,174.0,2681,599.0,\"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.\",12.0,24,True,2021-01-12 14:49:11.000000,0.9.96,142.0,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,,['pytorch'],47.0,47.0,https://pypi.org/project/pytorch-metric-learning,2021-01-21 04:16:25.000000,0.0,3059.0,3155.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2021-01-12 15:47:14.797000,1154.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n349,DoWhy,Microsoft/dowhy,,interpretability,https://github.com/microsoft/dowhy,https://github.com/microsoft/dowhy,MIT,2018-05-31 13:07:04.000000,2021-01-28 04:58:19.000000,2021-01-24 16:00:42.000000,371,16.0,81.0,2628,423.0,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,38.0,24,True,2020-12-12 15:26:03.000000,0.5.1,5.0,dowhy,conda-forge/dowhy,,,,25.0,25.0,https://pypi.org/project/dowhy,2020-12-12 15:26:03.000000,,5683.0,5801.0,https://anaconda.org/conda-forge/dowhy,2020-12-13 07:46:12.761000,941.0,,,,,2.0,21.0,,,,,,,,,,,,,,,,,,,,,,\n350,Sumy,miso-belica/sumy,,nlp,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48.000000,2020-11-21 17:08:35.000000,2020-11-21 17:08:33.000000,437,10.0,78.0,2479,397.0,Module for automatic summarization of text documents and HTML pages.,20.0,24,True,2019-05-19 14:39:21.000000,0.8.1,13.0,sumy,,,,,835.0,643.0,https://pypi.org/project/sumy,2019-05-19 14:38:29.000000,192.0,5233.0,5233.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n351,einops,arogozhnikov/einops,,ml-frameworks,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08.000000,2021-01-09 20:03:22.000000,2021-01-09 20:03:21.000000,76,22.0,41.0,2272,293.0,\"Deep learning operations reinvented (for pytorch, tensorflow, jax and others).\",10.0,24,True,2020-09-08 08:33:29.000000,0.3,3.0,einops,conda-forge/einops,,,,223.0,213.0,https://pypi.org/project/einops,2020-09-08 08:21:26.000000,10.0,15305.0,15528.0,https://anaconda.org/conda-forge/einops,2020-10-15 20:10:19.681000,3580.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n352,Arctic,man-group/arctic,,data-containers,https://github.com/man-group/arctic,https://github.com/man-group/arctic,LGPL-2.1,2015-05-29 13:37:30.000000,2021-01-27 23:40:38.000000,2021-01-26 00:14:21.000000,439,88.0,421.0,2151,1067.0,Arctic is a high performance datastore for numeric data.,71.0,24,True,2020-12-01 23:17:26.000000,1.79.4,83.0,arctic,conda-forge/arctic,,,,146.0,104.0,https://pypi.org/project/arctic,2020-12-01 23:16:12.000000,42.0,1922.0,2543.0,https://anaconda.org/conda-forge/arctic,2019-12-16 08:57:24.231000,12414.0,,,,,3.0,92.0,,,,,,,,,,,,,,,,,,,,,,\n353,ClearML,allegroai/clearml,,ml-experiments,https://github.com/allegroai/clearml,https://github.com/allegroai/clearml,Apache-2.0,2019-06-10 08:18:32.000000,2021-01-25 11:20:22.000000,2021-01-25 11:20:21.000000,318,58.0,200.0,2137,1027.0,\"ClearML - Auto-Magical Suite of tools to streamline your ML workflow. Experiment Manager, ML-Ops and Data-Management.\",25.0,24,True,2021-01-13 12:56:36.000000,0.17.4,39.0,clearml,,allegroai/trains,,,11.0,11.0,https://pypi.org/project/clearml,2021-01-24 07:26:05.000000,0.0,1785.0,3374.0,,,,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,29951.0,2.0,259.0,,,,,,,,,,,,,,,,,,,,,,\n354,Hyperas,maxpumperla/hyperas,,hyperopt,https://github.com/maxpumperla/hyperas,https://github.com/maxpumperla/hyperas,MIT,2016-02-19 14:45:10.000000,2020-12-22 08:31:48.000000,2020-12-22 08:31:47.000000,296,88.0,158.0,2065,209.0,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,21.0,24,True,2019-02-28 09:16:54.000000,0.4.1,9.0,hyperas,,,,['tensorflow'],21.0,,https://pypi.org/project/hyperas,2019-02-28 09:16:54.000000,21.0,10513.0,10513.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n355,fastNLP,fastnlp/fastNLP,,nlp,https://github.com/fastnlp/fastNLP,https://github.com/fastnlp/fastNLP,Apache-2.0,2018-03-07 13:30:20.000000,2020-12-16 10:04:23.000000,2020-11-23 10:50:37.000000,351,16.0,127.0,1991,1706.0,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,48.0,24,True,2020-11-06 15:31:29.000000,0.6.0,10.0,fastnlp,,,,,23.0,22.0,https://pypi.org/project/fastnlp,2019-02-04 02:35:37.000000,1.0,443.0,445.0,,,,,,,,3.0,54.0,,,,,,,,,,,,,,,,,,,,,,\n356,SRU,asappresearch/sru,,pytorch-utils,https://github.com/asappresearch/sru,https://github.com/asappresearch/sru,MIT,2017-08-28 20:37:41.000000,2021-01-27 21:54:12.000000,2020-12-17 19:36:53.000000,280,49.0,53.0,1870,378.0,Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755).,21.0,24,True,2020-12-17 19:40:55.000000,2.6.0-rc1,22.0,sru,,,,['pytorch'],16.0,15.0,https://pypi.org/project/sru,2021-01-22 20:02:59.000000,1.0,2005.0,2005.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n357,python_speech_features,jameslyons/python_speech_features,,audio,https://github.com/jameslyons/python_speech_features,https://github.com/jameslyons/python_speech_features,MIT,2013-10-31 02:42:08.000000,2020-12-31 13:27:02.000000,2020-12-31 13:27:01.000000,537,23.0,49.0,1835,120.0,This library provides common speech features for ASR including MFCCs and filterbank energies.,18.0,24,True,2020-01-14 14:12:10.000000,0.6.1,6.0,python_speech_features,,,,,300.0,,https://pypi.org/project/python_speech_features,2017-08-16 01:46:13.000000,300.0,41149.0,41149.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n358,polyglot,aboSamoor/polyglot,,nlp,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,GPL-3.0,2014-06-30 02:07:45.000000,2020-10-27 10:55:53.000000,2020-09-22 22:35:28.000000,292,132.0,62.0,1755,271.0,Multilingual text (NLP) processing toolkit.,26.0,24,False,2016-07-03 20:05:42.000000,16.7.4,8.0,polyglot,,,,,499.0,434.0,https://pypi.org/project/polyglot,2016-07-03 20:05:42.000000,65.0,34308.0,34308.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n359,Alphalens,quantopian/alphalens,,financial-data,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15.000000,2020-09-05 16:48:14.000000,2020-04-27 18:40:41.000000,639,38.0,145.0,1735,522.0,Performance analysis of predictive (alpha) stock factors.,25.0,24,True,2020-04-30 15:42:52.000000,0.4.0,10.0,alphalens,conda-forge/alphalens,,,,365.0,351.0,https://pypi.org/project/alphalens,2020-04-27 21:03:10.000000,14.0,1781.0,2076.0,https://anaconda.org/conda-forge/alphalens,2020-05-16 13:52:44.922000,10359.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n360,TorchServe,pytorch/serve,,model-serialisation,https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000000,2021-01-28 00:05:07.000000,2021-01-13 01:32:25.000000,226,130.0,399.0,1543,1049.0,Model Serving on PyTorch.,61.0,24,True,2020-12-18 01:38:41.000000,0.3.0,6.0,torchserve,pytorch/torchserve,pytorch/torchserve,,['pytorch'],26.0,26.0,https://pypi.org/project/torchserve,2020-12-17 19:04:04.000000,,3299.0,7379.0,https://anaconda.org/pytorch/torchserve,2020-12-17 18:30:12.593000,6216.0,https://hub.docker.com/r/pytorch/torchserve,2020-12-18 18:32:51.570336,3.0,50555.0,2.0,181.0,,,,,,,,,,,,,,,,,,,,,,\n361,Elephas,maxpumperla/elephas,,distributed-ml,https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19.000000,2021-01-25 02:43:23.000000,2021-01-25 02:43:17.000000,286,22.0,111.0,1439,437.0,Distributed Deep learning with Keras & Spark.,26.0,24,True,2021-01-25 02:08:03.000000,1.2.1,15.0,elephas,,,,\"['keras', 'spark']\",39.0,36.0,https://pypi.org/project/elephas,2021-01-25 02:05:37.000000,3.0,7315.0,7315.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n362,PyTextRank,DerwenAI/pytextrank,,nlp,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000000,2021-01-19 13:43:09.000000,2020-09-21 19:22:46.000000,291,17.0,37.0,1405,147.0,Python implementation of TextRank for phrase extraction and summarization of text documents.,10.0,24,True,2020-09-15 16:51:59.000000,2.0.3,10.0,pytextrank,,,,,129.0,123.0,https://pypi.org/project/pytextrank,2020-09-15 16:51:59.000000,6.0,8875.0,8875.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n363,haystack,deepset-ai/haystack,,nlp,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000000,2021-01-27 16:42:53.000000,2021-01-27 16:01:29.000000,240,61.0,376.0,1314,509.0,Transformers at scale for question answering & neural search. Using NLP via a modular Retriever-Reader-Pipeline...,31.0,24,True,2021-01-21 17:42:17.000000,0.7.0,34.0,haystack,,,,,104.0,30.0,https://pypi.org/project/haystack,2017-07-03 04:44:52.000000,74.0,671.0,671.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n364,TNT,pytorch/tnt,,ml-experiments,https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58.000000,2021-01-22 09:14:29.000000,2021-01-05 19:36:17.000000,186,30.0,34.0,1278,156.0,\"Simple tools for logging and visualizing, loading and training.\",35.0,24,True,2019-11-15 12:57:59.000000,0.0.5.1,3.0,torchnet,,,,['pytorch'],567.0,517.0,https://pypi.org/project/torchnet,2018-07-29 23:16:03.000000,50.0,5935.0,5935.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n365,IB-insync,erdewit/ib_insync,,financial-data,https://github.com/erdewit/ib_insync,https://github.com/erdewit/ib_insync,BSD-2-Clause,2017-07-12 12:09:24.000000,2021-01-22 17:20:01.000000,2021-01-12 09:49:36.000000,381,5.0,279.0,1213,547.0,Python sync/async framework for Interactive Brokers API.,25.0,24,True,2020-11-03 13:37:57.000000,0.9.64,89.0,ib_insync,conda-forge/ib-insync,,,,12.0,,https://pypi.org/project/ib_insync,2020-11-03 13:37:57.000000,12.0,2335.0,2733.0,https://anaconda.org/conda-forge/ib-insync,2020-11-07 23:30:42.910000,7181.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n366,Fairness 360,Trusted-AI/AIF360,,interpretability,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15.000000,2021-01-27 21:48:18.000000,2021-01-19 17:09:39.000000,384,35.0,46.0,1204,291.0,\"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..\",41.0,24,True,2020-06-02 22:59:53.000000,0.3.0,8.0,aif360,,,,,64.0,62.0,https://pypi.org/project/aif360,2020-06-02 22:49:24.000000,2.0,1878.0,1878.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n367,petastorm,uber/petastorm,,distributed-ml,https://github.com/uber/petastorm,https://github.com/uber/petastorm,Apache-2.0,2018-06-15 23:15:29.000000,2021-01-27 04:17:13.000000,2021-01-23 03:47:57.000000,178,121.0,111.0,1060,615.0,Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets..,38.0,24,True,2020-12-15 18:37:49.000000,0.9.8,64.0,petastorm,,,,,25.0,25.0,https://pypi.org/project/petastorm,2020-12-15 18:37:49.000000,,33283.0,33292.0,,,,,,,,2.0,288.0,,,,,,,,,,,,,,,,,,,,,,\n368,TabPy,tableau/TabPy,,others,https://github.com/tableau/TabPy,https://github.com/tableau/TabPy,MIT,2016-09-27 21:26:03.000000,2021-01-22 23:03:42.000000,2021-01-22 23:03:41.000000,377,8.0,248.0,1021,823.0,Execute Python code on the fly and display results in Tableau visualizations:.,39.0,24,True,2020-11-11 19:06:41.000000,2.3.1,24.0,tabpy,,,,,44.0,44.0,https://pypi.org/project/tabpy,2020-11-11 19:06:41.000000,,1475.0,1475.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n369,Streamz,python-streamz/streamz,,time-series-data,https://github.com/python-streamz/streamz,https://github.com/python-streamz/streamz,BSD-3-Clause,2017-04-04 21:45:49.000000,2021-01-15 14:38:35.032000,2021-01-14 20:46:26.000000,112,89.0,127.0,897,733.0,Real-time stream processing for python.,38.0,24,True,2020-11-02 14:53:29.000000,0.6.1,14.0,streamz,conda-forge/streamz,,,,201.0,185.0,https://pypi.org/project/streamz,2020-11-02 14:53:29.000000,16.0,2140.0,4904.0,https://anaconda.org/conda-forge/streamz,2021-01-15 14:38:35.032000,110572.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n370,PySAL,pysal/pysal,,geospatial-data,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42.000000,2021-01-24 19:14:47.000000,2021-01-24 19:14:46.000000,241,58.0,583.0,814,4112.0,PySAL: Python Spatial Analysis Library Meta-Package.,70.0,24,True,2020-07-30 03:12:31.000000,2.3.0,24.0,pysal,conda-forge/pysal,,,,18.0,,https://pypi.org/project/pysal,2020-07-30 03:12:31.000000,18.0,8335.0,15678.0,https://anaconda.org/conda-forge/pysal,2020-07-30 10:24:58.290000,396531.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n371,kmodes,nicodv/kmodes,,others,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40.000000,2021-01-23 18:33:23.000000,2021-01-23 18:33:23.000000,338,20.0,106.0,804,449.0,\"Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data.\",16.0,24,True,2020-02-25 21:38:29.000000,0.10.2,12.0,kmodes,,,,,435.0,422.0,https://pypi.org/project/kmodes,2020-02-25 21:30:28.000000,13.0,44710.0,44710.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n372,ffn,pmorissette/ffn,,financial-data,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09.000000,2021-01-26 04:14:23.000000,2021-01-26 04:14:22.000000,177,16.0,63.0,760,308.0,ffn - a financial function library for Python.,23.0,24,True,2018-05-28 14:01:56.000000,0.3.4,25.0,ffn,,,,,112.0,96.0,https://pypi.org/project/ffn,2018-05-28 14:01:56.000000,16.0,8114.0,8114.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n373,ktrain,amaiya/ktrain,,ml-frameworks,https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39.000000,2021-01-28 01:04:41.000000,2021-01-28 01:03:57.000000,175,8.0,291.0,726,2152.0,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,12.0,24,True,2021-01-28 01:04:41.000000,0.25.4,147.0,ktrain,,,,['tensorflow'],113.0,112.0,https://pypi.org/project/ktrain,2021-01-28 01:03:31.000000,1.0,4736.0,4736.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n374,PennyLane,PennyLaneAI/PennyLane,,others,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000000,2021-01-28 09:25:48.000000,2021-01-28 08:30:39.000000,211,50.0,232.0,718,1776.0,PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum..,39.0,24,True,2020-12-22 16:10:22.000000,0.13.0-post2,18.0,pennylane,,,,,20.0,,https://pypi.org/project/pennylane,2020-11-27 18:07:34.000000,20.0,1583.0,1585.0,,,,,,,,2.0,53.0,,,,,,,,,,,,,,,,,,,,,,\n375,GPyOpt,SheffieldML/GPyOpt,,hyperopt,https://github.com/SheffieldML/GPyOpt,https://github.com/SheffieldML/GPyOpt,BSD-3-Clause,2014-08-13 09:58:25.000000,2020-11-17 10:32:02.000000,2020-11-05 15:16:04.000000,217,100.0,186.0,706,514.0,Gaussian Process Optimization using GPy.,49.0,24,True,2020-03-19 21:21:18.000000,1.2.6,11.0,gpyopt,,,,,207.0,171.0,https://pypi.org/project/gpyopt,2020-03-19 11:37:45.000000,36.0,4309.0,4309.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n376,stockstats,jealous/stockstats,,financial-data,https://github.com/jealous/stockstats,https://github.com/jealous/stockstats,BSD-3-Clause,2016-06-05 15:21:22.000000,2020-12-10 07:08:11.000000,2020-10-17 10:59:35.000000,194,29.0,30.0,703,23.0,Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.,7.0,24,True,2020-10-17 11:10:43.000000,0.3.2,14.0,stockstats,,,,,192.0,168.0,https://pypi.org/project/stockstats,2020-10-17 11:10:43.000000,24.0,22586.0,22586.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n377,pythreejs,jupyter-widgets/pythreejs,,data-viz,https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,BSD-3-Clause,2013-12-23 17:02:11.000000,2021-01-19 14:26:57.000000,2020-10-09 09:41:09.000000,156,60.0,137.0,698,1594.0,A Jupyter - Three.js bridge.,24.0,24,True,2020-03-19 11:32:37.000000,2.2.1,42.0,pythreejs,conda-forge/pythreejs,,,['jupyter'],36.0,15.0,https://pypi.org/project/pythreejs,2020-10-09 09:40:47.000000,13.0,5631.0,15513.0,https://anaconda.org/conda-forge/pythreejs,2020-10-12 12:24:08.446000,261258.0,,,,,3.0,,,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,2020-03-19 11:22:13.041000,8.0,5217.0,,,,,,,,,,,,,,,\n378,CLTK,cltk/cltk,,nlp,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000000,2021-01-09 23:56:41.000000,2021-01-09 23:56:40.000000,297,125.0,357.0,629,2771.0,The Classical Language Toolkit.,107.0,24,True,2020-06-22 06:03:33.000000,0.1.121,160.0,cltk,,,,,221.0,153.0,https://pypi.org/project/cltk,2021-01-01 18:03:05.000000,68.0,1004.0,1004.0,,,,,,,,3.0,22.0,,,,,,,,,,,,,,,,,,,,,,\n379,pyjanitor,ericmjl/pyjanitor,,others,https://github.com/ericmjl/pyjanitor,https://github.com/ericmjl/pyjanitor,MIT,2018-03-04 22:43:33.000000,2021-01-28 08:52:40.000000,2021-01-27 01:34:12.000000,118,91.0,278.0,620,1162.0,Clean APIs for data cleaning. Python implementation of R package Janitor.,87.0,24,True,2020-10-03 12:24:35.000000,0.20.10,46.0,pyjanitor,conda-forge/pyjanitor,,,,79.0,77.0,https://pypi.org/project/pyjanitor,2020-10-03 12:24:35.000000,2.0,1418.0,3686.0,https://anaconda.org/conda-forge/pyjanitor,2020-10-04 12:30:53.707000,77115.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n380,tensorflow-upstream,ROCmSoftwarePlatform/tensorflow-upstream,,ml-frameworks,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,Apache-2.0,2018-04-09 21:24:50.000000,2021-01-27 23:48:02.000000,2021-01-27 21:43:53.000000,64,55.0,225.0,533,79524.0,TensorFlow ROCm port.,3513.0,24,True,2020-12-08 01:43:55.000000,2.4.0,58.0,tensorflow-rocm,,,,['tensorflow'],,,https://pypi.org/project/tensorflow-rocm,2020-12-22 02:51:55.000000,,1093.0,1093.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,,,,,\n381,Intake,intake/intake,,data-loading,https://github.com/intake/intake,https://github.com/intake/intake,BSD-2-Clause,2017-08-14 20:44:22.000000,2021-01-28 14:40:04.000000,2021-01-28 14:40:02.000000,91,75.0,190.0,522,1628.0,\"Intake is a lightweight package for finding, investigating, loading and disseminating data.\",52.0,24,True,2020-06-03 19:03:40.000000,0.6.0,19.0,intake,conda-forge/intake,,,,294.0,220.0,https://pypi.org/project/intake,2020-06-03 19:03:40.000000,74.0,2075.0,4247.0,https://anaconda.org/conda-forge/intake,2020-06-03 19:49:52.133000,56479.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n382,combo,yzhao062/combo,,sklearn-utils,https://github.com/yzhao062/combo,https://github.com/yzhao062/combo,BSD-2-Clause,2019-07-14 01:13:36.000000,2020-12-23 14:27:11.000000,2020-12-23 14:27:05.000000,82,7.0,3.0,473,201.0,(AAAI' 20) A Python Toolbox for Machine Learning Model Combination.,1.0,24,True,2020-12-23 02:21:49.000000,0.1.2,12.0,combo,,,,\"['sklearn', 'xgboost']\",260.0,260.0,https://pypi.org/project/combo,2020-12-23 02:21:49.000000,0.0,62678.0,62678.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n383,SALib,SALib/SALib,,probabilistics,https://github.com/SALib/SALib,https://github.com/SALib/SALib,MIT,2013-05-30 13:38:10.000000,2021-01-20 02:04:22.000000,2021-01-20 02:04:21.000000,140,45.0,182.0,430,909.0,\"Sensitivity Analysis Library in Python (Numpy). Contains Sobol, Morris, Fractional Factorial and FAST methods.\",24.0,24,True,2020-11-12 17:13:12.000000,1.3.12,29.0,salib,conda-forge/salib,,,,44.0,,https://pypi.org/project/salib,2020-11-19 15:36:26.000000,44.0,10537.0,11673.0,https://anaconda.org/conda-forge/salib,2020-10-24 17:04:41.614000,56815.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n384,findspark,minrk/findspark,,others,https://github.com/minrk/findspark,https://github.com/minrk/findspark,BSD-3-Clause,2015-06-12 21:34:06.000000,2020-06-08 09:32:35.000000,2020-06-08 09:31:58.000000,64,11.0,8.0,386,67.0,Find pyspark to make it importable.,14.0,24,True,2020-06-08 09:32:23.000000,1.4.2,12.0,findspark,conda-forge/findspark,,,['spark'],1683.0,1481.0,https://pypi.org/project/findspark,2020-06-08 09:32:23.000000,202.0,466355.0,475146.0,https://anaconda.org/conda-forge/findspark,2018-07-06 12:57:33.438000,483544.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n385,sklearn-crfsuite,TeamHG-Memex/sklearn-crfsuite,,sklearn-utils,https://github.com/TeamHG-Memex/sklearn-crfsuite,https://github.com/TeamHG-Memex/sklearn-crfsuite,MIT,2015-11-26 21:15:41.000000,2020-12-30 08:00:27.000000,2019-12-05 08:17:22.000000,153,34.0,21.0,356,46.0,scikit-learn inspired API for CRFsuite.,6.0,24,False,2017-06-22 18:49:27.000000,0.3.6,9.0,sklearn-crfsuite,,,,['sklearn'],2814.0,2418.0,https://pypi.org/project/sklearn-crfsuite,2017-06-22 18:49:27.000000,396.0,33121.0,33121.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n386,GeoViews,holoviz/geoviews,,geospatial-data,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000000,2020-11-13 20:59:34.000000,2020-09-21 16:31:16.000000,60,78.0,169.0,329,635.0,\"Simple, concise geographical visualization in Python.\",21.0,24,True,2020-09-23 18:59:07.000000,1.8.0,21.0,geoviews,conda-forge/geoviews,,,,206.0,196.0,https://pypi.org/project/geoviews,2020-03-30 19:17:21.000000,10.0,1070.0,2684.0,https://anaconda.org/conda-forge/geoviews,2020-09-23 20:06:48.808000,54907.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n387,ml-metadata,google/ml-metadata,,ml-experiments,https://github.com/google/ml-metadata,https://github.com/google/ml-metadata,Apache-2.0,2019-01-15 21:02:09.000000,2021-01-27 01:23:59.000000,2021-01-27 01:23:54.000000,58,18.0,40.0,273,459.0,For recording and retrieving metadata associated with ML developer and data scientist workflows.,11.0,24,True,2021-01-26 20:42:49.000000,0.27.0,23.0,ml-metadata,,,,,69.0,69.0,https://pypi.org/project/ml-metadata,2021-01-26 22:36:41.000000,0.0,216281.0,216335.0,,,,,,,,2.0,1200.0,,,,,,,,,,,,,,,,,,,,,,\n388,datalad,datalad/datalad,,others,https://github.com/datalad/datalad,https://github.com/datalad/datalad,MIT,2013-11-01 19:40:08.000000,2021-01-28 10:42:02.000000,2021-01-27 19:08:29.000000,68,711.0,2216.0,220,13345.0,\"Keep code, data, containers under control with git and git-annex.\",40.0,24,True,2021-01-04 16:19:04.000000,0.13.7,62.0,datalad,conda-forge/datalad,,,,26.0,,https://pypi.org/project/datalad,2021-01-04 16:15:25.000000,26.0,1516.0,3809.0,https://anaconda.org/conda-forge/datalad,2021-01-04 20:08:46.439000,77972.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n389,pysc2,deepmind/pysc2,,others,https://github.com/deepmind/pysc2,https://github.com/deepmind/pysc2,Apache-2.0,2017-07-25 18:16:57.000000,2020-07-29 16:22:31.000000,2019-09-27 15:23:22.000000,1065,49.0,203.0,7158,513.0,StarCraft II Learning Environment.,34.0,23,False,2019-09-27 15:48:01.000000,3.0.0,7.0,pysc2,,,,,240.0,220.0,https://pypi.org/project/pysc2,2019-09-27 15:48:01.000000,20.0,433.0,1055.0,,,,,,,,3.0,25522.0,,,,,,,,,,,,,,,,,,,,,,\n390,Facets Overview,pair-code/facets,,data-viz,https://github.com/PAIR-code/facets,https://github.com/PAIR-code/facets,Apache-2.0,2017-07-07 14:03:03.000000,2020-10-27 19:51:23.000000,2020-10-27 19:51:22.000000,792,72.0,75.0,6481,259.0,Visualizations for machine learning datasets.,27.0,23,True,2019-07-24 15:33:29.000000,0.9.1,4.0,facets-overview,,,,['jupyter'],38.0,38.0,https://pypi.org/project/facets-overview,2019-07-24 15:33:29.000000,,25845.0,25845.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n391,Ciphey,Ciphey/Ciphey,,nlp,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39.000000,2021-01-19 00:22:53.000000,2021-01-19 00:22:51.000000,340,47.0,172.0,6180,1728.0,\"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.\",38.0,23,True,2020-12-02 12:36:44.000000,5.11.0,43.0,ciphey,,remnux/ciphey,,,,,https://pypi.org/project/ciphey,2020-12-02 12:36:44.000000,,2432.0,2852.0,,,,https://hub.docker.com/r/remnux/ciphey,2020-12-17 02:51:41.340501,1.0,7569.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n392,snownlp,isnowfy/snownlp,,chinese-nlp,https://github.com/isnowfy/snownlp,https://github.com/isnowfy/snownlp,MIT,2013-11-26 11:46:56.000000,2020-01-19 02:39:05.000000,2020-01-19 02:39:03.000000,1237,33.0,65.0,5264,57.0,Python library for processing Chinese text.,8.0,23,True,2015-09-27 16:35:23.000000,0.12.3,17.0,snownlp,,,,,549.0,511.0,https://pypi.org/project/snownlp,2015-09-27 16:35:23.000000,38.0,2350.0,2350.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n393,Apex,NVIDIA/apex,,gpu-utilities,https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000000,2021-01-27 15:26:22.000000,2021-01-20 10:06:44.000000,656,425.0,361.0,4989,829.0,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,77.0,23,True,,,1.0,,conda-forge/nvidia-apex,,,['pytorch'],440.0,440.0,,,,,1972.0,https://anaconda.org/conda-forge/nvidia-apex,2020-11-23 18:41:00.769000,29591.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n394,Face Alignment,1adrianb/face-alignment,,image,https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44.000000,2020-12-30 17:11:07.000000,2020-12-30 17:11:06.000000,1002,30.0,192.0,4645,196.0,2D and 3D Face alignment library build using pytorch.,21.0,23,True,2020-12-22 21:34:55.000000,1.3.3,9.0,face-alignment,,,,['pytorch'],6.0,,https://pypi.org/project/face-alignment,2020-12-22 21:34:55.000000,6.0,3666.0,3666.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n395,flashtext,vi3k6i5/flashtext,,nlp,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01.000000,2020-06-05 00:37:46.000000,2020-05-03 07:13:22.000000,521,48.0,49.0,4633,108.0,Extract Keywords from sentence or Replace keywords in sentences.,8.0,23,True,,,18.0,flashtext,,,,,376.0,344.0,https://pypi.org/project/flashtext,2018-02-16 05:24:17.000000,32.0,184465.0,184465.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n396,PaddleHub,PaddlePaddle/PaddleHub,,others,https://github.com/PaddlePaddle/PaddleHub,https://github.com/PaddlePaddle/PaddleHub,Apache-2.0,2018-12-21 06:00:48.000000,2021-01-27 08:19:58.000000,2021-01-27 08:19:57.000000,1007,272.0,383.0,4490,,\"Awesome pre-trained models toolkit based on PaddlePaddle.180+ models including Image, Text, Audio and Video with Easy..\",33.0,23,True,2021-01-06 12:04:54.000000,2.0.0-rc0,39.0,paddlehub,,,,['paddle'],78.0,78.0,https://pypi.org/project/paddlehub,2021-01-06 11:57:01.000000,0.0,1093.0,1112.0,,,,,,,,3.0,439.0,,,,,,,,,,,,,,,,,,,,,,\n397,DeepSpeed,microsoft/DeepSpeed,,distributed-ml,https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,MIT,2020-01-23 18:35:18.000000,2021-01-27 23:41:32.000000,2021-01-27 20:45:29.000000,380,120.0,158.0,4166,409.0,\"DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.\",41.0,23,True,2021-01-12 18:17:34.000000,0.3.10,18.0,deepspeed,,deepspeed/deepspeed,,['pytorch'],9.0,9.0,https://pypi.org/project/deepspeed,2021-01-08 21:03:38.000000,,1506.0,2082.0,,,,https://hub.docker.com/r/deepspeed/deepspeed,2020-11-20 00:17:12.819964,2.0,6922.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n398,Great Expectations,great-expectations/great_expectations,,data-pipelines,https://github.com/great-expectations/great_expectations,https://github.com/great-expectations/great_expectations,Apache-2.0,2017-09-11 00:18:46.000000,2021-01-28 14:37:32.000000,2021-01-28 05:14:08.000000,415,173.0,592.0,3526,,Always know what to expect from your data.,140.0,23,True,2021-01-28 05:16:54.000000,0.13.8,99.0,great_expectations,,,,,6.0,,https://pypi.org/project/great_expectations,2021-01-28 04:38:56.000000,6.0,294088.0,294088.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n399,Snips NLU,snipsco/snips-nlu,,nlp,https://github.com/snipsco/snips-nlu,https://github.com/snipsco/snips-nlu,Apache-2.0,2017-02-08 16:16:36.000000,2020-12-24 12:59:47.000000,2020-02-08 21:49:32.000000,460,50.0,196.0,3441,2153.0,Snips Python library to extract meaning from text.,21.0,23,True,2020-01-15 10:13:17.000000,0.20.2,58.0,snips-nlu,,,,,8.0,,https://pypi.org/project/snips-nlu,2020-01-15 10:13:17.000000,8.0,1109.0,1109.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n400,VisualDL,PaddlePaddle/VisualDL,,ml-experiments,https://github.com/PaddlePaddle/VisualDL,https://github.com/PaddlePaddle/VisualDL,Apache-2.0,2017-12-20 12:34:31.000000,2021-01-28 12:11:23.000000,2021-01-26 08:35:32.000000,438,23.0,313.0,3206,,Deep Learning Visualization Toolkit.,28.0,23,True,2020-12-29 13:20:08.000000,2.1.0,30.0,visualdl,,,,['paddle'],146.0,136.0,https://pypi.org/project/visualdl,2020-12-29 09:00:11.000000,10.0,3733.0,3742.0,,,,,,,,3.0,67.0,,,,,,,,,,,,,,,,,,,,,,\n401,PyAlgoTrade,gbeced/pyalgotrade,,financial-data,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54.000000,2020-12-24 18:41:56.000000,2018-08-21 02:42:52.000000,1139,38.0,81.0,3139,1156.0,Python Algorithmic Trading Library.,11.0,23,False,,,8.0,pyalgotrade,,,,,88.0,67.0,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25.000000,21.0,548.0,548.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n402,TensorWatch,microsoft/tensorwatch,,ml-experiments,https://github.com/microsoft/tensorwatch,https://github.com/microsoft/tensorwatch,MIT,2019-05-15 08:29:34.000000,2021-01-18 03:05:57.000000,2021-01-15 19:46:05.000000,312,48.0,15.0,3018,112.0,\"Debugging, monitoring and visualization for Python Machine Learning and Data Science.\",13.0,23,True,2020-03-04 07:26:22.000000,0.9.1,14.0,tensorwatch,,,,,51.0,45.0,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22.000000,6.0,17711.0,17711.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n403,Camelot,atlanhq/camelot,,data-loading,https://github.com/atlanhq/camelot,https://github.com/atlanhq/camelot,MIT,2016-06-18 11:48:49.000000,2020-07-27 12:28:15.000000,2019-10-15 05:25:40.000000,302,61.0,273.0,2971,446.0,Camelot: PDF Table Extraction for Humans.,23.0,23,False,2020-07-27 12:28:15.000000,0.8.2,21.0,camelot-py,,,,,10.0,,https://pypi.org/project/camelot-py,2020-07-27 12:28:15.000000,10.0,17912.0,17912.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n404,segmentation_models,qubvel/segmentation_models,,image,https://github.com/qubvel/segmentation_models,https://github.com/qubvel/segmentation_models,MIT,2018-06-05 13:27:56.000000,2020-12-13 13:48:40.000000,2020-04-17 09:51:20.000000,670,144.0,236.0,2905,204.0,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,14.0,23,True,2020-01-10 11:36:02.000000,1.0.1,8.0,segmentation_models,,,,['tensorflow'],12.0,,https://pypi.org/project/segmentation_models,2020-01-10 11:36:02.000000,12.0,10947.0,10947.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n405,SHOGUN,shogun-toolbox/shogun,,ml-frameworks,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32.000000,2021-01-27 17:11:33.000000,2020-12-08 16:56:38.000000,1013,544.0,1068.0,2783,16205.0,Unified and efficient Machine Learning.,248.0,23,True,2019-07-05 10:23:31.000000,shogun_6.1.4,10.0,,conda-forge/shogun,shogun/shogun,,,,,,,,,2154.0,https://anaconda.org/conda-forge/shogun,2018-06-25 20:49:17.070000,89967.0,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1442.0,3.0,,,,,,,,,,shogun,,,,,,,,,,,,,\n406,keras-vis,raghakot/keras-vis,,interpretability,https://github.com/raghakot/keras-vis,https://github.com/raghakot/keras-vis,MIT,2016-11-11 23:27:34.000000,2020-04-20 01:03:13.000000,2020-04-20 01:03:12.000000,583,113.0,99.0,2777,195.0,Neural network visualization toolkit for keras.,10.0,23,True,2017-07-06 04:55:04.000000,0.4.1,11.0,keras-vis,,,,['tensorflow'],706.0,678.0,https://pypi.org/project/keras-vis,2017-07-06 04:55:04.000000,28.0,1392.0,1392.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n407,MMLSpark,Azure/mmlspark,,distributed-ml,https://github.com/Azure/mmlspark,https://github.com/Azure/mmlspark,MIT,2017-06-05 08:23:44.000000,2021-01-28 01:47:19.000000,2021-01-28 01:47:18.000000,492,196.0,212.0,2236,769.0,Microsoft Machine Learning for Apache Spark.,61.0,23,True,2020-10-02 19:36:01.000000,1.0.0-rc3,17.0,mmlspark,,,,['spark'],,,https://pypi.org/project/mmlspark,2020-03-18 01:27:31.000000,,32488.0,32488.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n408,neuralcoref,huggingface/neuralcoref,,nlp,https://github.com/huggingface/neuralcoref,https://github.com/huggingface/neuralcoref,MIT,2017-07-03 13:04:16.000000,2020-12-29 21:22:55.000000,2020-12-29 21:22:53.000000,380,42.0,215.0,2182,113.0,Fast Coreference Resolution in spaCy with Neural Networks.,20.0,23,True,2019-04-08 11:28:27.000000,4.0.0,5.0,neuralcoref,conda-forge/neuralcoref,,,,299.0,281.0,https://pypi.org/project/neuralcoref,2019-04-08 08:53:12.000000,18.0,2344.0,2868.0,https://anaconda.org/conda-forge/neuralcoref,2020-02-21 22:10:40.453000,5729.0,,,,,3.0,172.0,,,,,,,,,,,,,,,,,,,,,,\n409,scikit-plot,reiinakano/scikit-plot,,interpretability,https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59.000000,2020-07-22 16:19:25.000000,2018-08-19 12:37:47.000000,245,21.0,38.0,2025,130.0,An intuitive library to add plotting functionality to scikit-learn objects.,13.0,23,False,2018-08-19 12:21:01.000000,0.3.7,27.0,scikit-plot,conda-forge/scikit-plot,,,['sklearn'],751.0,724.0,https://pypi.org/project/scikit-plot,2018-08-19 12:18:46.000000,27.0,36734.0,38627.0,https://anaconda.org/conda-forge/scikit-plot,2019-06-05 14:23:59.043000,79545.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n410,ART,Trusted-AI/adversarial-robustness-toolbox,,adversarial,https://github.com/Trusted-AI/adversarial-robustness-toolbox,https://github.com/Trusted-AI/adversarial-robustness-toolbox,MIT,2018-03-15 14:40:43.000000,2021-01-28 14:33:44.000000,2021-01-11 13:39:25.000000,563,75.0,329.0,1979,,\"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..\",59.0,23,True,2021-01-09 02:13:17.000000,1.5.1,27.0,adversarial-robustness-toolbox,,,,,99.0,99.0,https://pypi.org/project/adversarial-robustness-toolbox,2021-01-09 02:13:17.000000,0.0,1763.0,1763.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n411,Enigma Catalyst,enigmampc/catalyst,,financial-data,https://github.com/enigmampc/catalyst,https://github.com/enigmampc/catalyst,Apache-2.0,2017-06-13 22:31:34.000000,2021-01-05 19:10:30.000000,2020-12-28 10:58:58.000000,589,134.0,363.0,1958,6362.0,An Algorithmic Trading Library for Crypto-Assets in Python.,144.0,23,True,2018-09-13 15:09:58.000000,0.5.21,52.0,enigma-catalyst,,,,,21.0,21.0,https://pypi.org/project/enigma-catalyst,2018-11-11 16:46:28.000000,,327.0,327.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n412,Acme,deepmind/acme,,reinforcement-learning,https://github.com/deepmind/acme,https://github.com/deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000000,2021-01-27 16:01:12.000000,2021-01-27 16:00:31.000000,182,37.0,44.0,1893,331.0,A library of reinforcement learning components and agents.,30.0,23,True,2020-10-23 15:59:12.000000,0.2.0,8.0,dm-acme,,,,['tensorflow'],19.0,19.0,https://pypi.org/project/dm-acme,2020-07-24 13:03:30.000000,,468.0,468.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n413,pytorch-nlp,PetrochukM/PyTorch-NLP,,nlp,https://github.com/PetrochukM/PyTorch-NLP,https://github.com/PetrochukM/PyTorch-NLP,BSD-3-Clause,2018-02-25 05:00:36.000000,2021-01-26 22:24:03.000000,2021-01-26 22:23:57.000000,223,14.0,49.0,1856,445.0,Basic Utilities for PyTorch Natural Language Processing (NLP).,17.0,23,True,2019-11-04 05:16:00.000000,0.5.0,19.0,pytorch-nlp,,,,['pytorch'],190.0,172.0,https://pypi.org/project/pytorch-nlp,2019-11-04 04:35:18.000000,18.0,2255.0,2255.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n414,m2cgen,BayesWitnesses/m2cgen,,model-serialisation,https://github.com/BayesWitnesses/m2cgen,https://github.com/BayesWitnesses/m2cgen,MIT,2019-01-13 02:32:55.000000,2021-01-26 05:22:20.000000,2020-10-07 17:33:12.000000,153,36.0,36.0,1751,227.0,\"Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart,..\",12.0,23,True,2020-09-18 19:17:26.000000,0.9.0,12.0,m2cgen,,,,,4.0,4.0,https://pypi.org/project/m2cgen,2020-09-18 19:16:17.000000,,8253.0,8253.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n415,GluonTS,awslabs/gluon-ts,,time-series-data,https://github.com/awslabs/gluon-ts,https://github.com/awslabs/gluon-ts,Apache-2.0,2019-05-15 17:17:29.000000,2021-01-28 11:39:22.000000,2021-01-28 11:39:21.000000,359,180.0,346.0,1687,651.0,Probabilistic time series modeling in Python.,67.0,23,True,2020-12-08 15:07:54.000000,0.6.4,27.0,gluonts,,,,['mxnet'],,,https://pypi.org/project/gluonts,2020-12-08 15:07:54.000000,,17119.0,17119.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n416,Spektral,danielegrattarola/spektral,,graph,https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10.000000,2021-01-26 17:42:02.000000,2021-01-26 17:41:38.000000,191,22.0,97.0,1597,453.0,Graph Neural Networks with Keras and Tensorflow 2.,16.0,23,True,2021-01-07 18:03:04.000000,1.0.4,27.0,spektral,,,,\"['tensorflow\"\"']\",28.0,28.0,https://pypi.org/project/spektral,2021-01-07 18:03:04.000000,0.0,1568.0,1568.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n417,vidgear,abhiTronix/vidgear,,image,https://github.com/abhiTronix/vidgear,https://github.com/abhiTronix/vidgear,Apache-2.0,2019-03-17 02:42:42.000000,2021-01-28 02:48:09.000000,2021-01-01 04:26:42.000000,113,4.0,130.0,1582,547.0,High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features.,5.0,23,True,2021-01-01 07:57:09.000000,0.2.0,12.0,vidgear,,,,,82.0,80.0,https://pypi.org/project/vidgear,2021-01-01 07:57:09.000000,2.0,1366.0,1379.0,,,,,,,,3.0,303.0,,,,,,,,,,,,,,,,,,,,,,\n418,Pillow-SIMD,uploadcare/pillow-simd,,image,https://github.com/uploadcare/pillow-simd,https://github.com/uploadcare/pillow-simd,PIL,2014-11-12 15:33:02.000000,2020-11-03 07:45:01.000000,2020-06-02 14:50:14.000000,65,11.0,53.0,1537,,The friendly PIL fork.,310.0,23,False,2020-01-02 05:19:26.000000,7.0.0,35.0,pillow-simd,,,,,408.0,358.0,https://pypi.org/project/pillow-simd,2020-01-26 14:30:27.000000,50.0,12178.0,12178.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n419,Multicore-TSNE,DmitryUlyanov/Multicore-TSNE,,data-viz,https://github.com/DmitryUlyanov/Multicore-TSNE,https://github.com/DmitryUlyanov/Multicore-TSNE,BSD-3-Clause,2016-10-19 05:46:52.000000,2020-12-20 08:15:51.000000,2020-08-19 14:58:00.000000,191,33.0,20.0,1527,113.0,Parallel t-SNE implementation with Python and Torch wrappers.,15.0,23,True,2017-11-08 13:32:20.000000,0.0.1,2.0,MulticoreTSNE,conda-forge/multicore-tsne,,,['pytorch'],218.0,204.0,https://pypi.org/project/MulticoreTSNE,2017-11-08 16:03:07.000000,14.0,2059.0,2286.0,https://anaconda.org/conda-forge/multicore-tsne,2018-11-12 17:08:01.525000,5920.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n420,sklearn-contrib-lightning,scikit-learn-contrib/lightning,,sklearn-utils,https://github.com/scikit-learn-contrib/lightning,https://github.com/scikit-learn-contrib/lightning,BSD-3-Clause,2012-01-11 13:53:52.000000,2021-01-05 05:54:02.000000,2021-01-04 18:02:23.000000,188,49.0,36.0,1428,700.0,\"Large-scale linear classification, regression and ranking in Python.\",16.0,23,True,2017-11-04 18:03:11.000000,0.5.0,7.0,sklearn-contrib-lightning,conda-forge/sklearn-contrib-lightning,,,['sklearn'],77.0,72.0,https://pypi.org/project/sklearn-contrib-lightning,2020-12-16 17:25:20.000000,5.0,365.0,2711.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2020-12-20 22:58:20.890000,126706.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n421,bonobo,python-bonobo/bonobo,,data-pipelines,https://github.com/python-bonobo/bonobo,https://github.com/python-bonobo/bonobo,Apache-2.0,2016-12-09 04:03:23.000000,2021-01-01 05:32:02.000000,2021-01-01 05:32:01.000000,112,62.0,107.0,1377,978.0,Extract Transform Load for Python 3.5+.,36.0,23,True,2019-05-16 13:19:48.000000,0.6.4,38.0,bonobo,,,http://docs.bonobo-project.org/en/master/,,130.0,106.0,https://pypi.org/project/bonobo,2019-07-20 13:33:19.000000,24.0,2147.0,2147.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n422,Pandaral·lel,nalepae/pandarallel,,data-containers,https://github.com/nalepae/pandarallel,https://github.com/nalepae/pandarallel,BSD-3-Clause,2019-03-10 11:58:29.000000,2020-12-16 13:29:31.000000,2020-12-16 13:29:29.000000,93,61.0,53.0,1344,110.0,A simple and efficient tool to parallelize Pandas operations on all availableCPUs.,13.0,23,True,2020-08-25 16:33:28.000000,1.5.1,28.0,pandarallel,,,,\"['pandas', 'jupyter']\",140.0,140.0,https://pypi.org/project/pandarallel,2020-08-25 16:33:28.000000,0.0,35487.0,35487.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n423,TextAttack,QData/TextAttack,,adversarial,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000000,2021-01-22 15:26:43.000000,2021-01-15 17:37:07.000000,129,26.0,80.0,1210,1908.0,\"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP.\",31.0,23,True,2020-12-27 05:23:02.000000,0.2.15,35.0,textattack,,,,,16.0,16.0,https://pypi.org/project/textattack,2020-12-27 05:23:02.000000,0.0,726.0,726.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n424,sense2vec,explosion/sense2vec,,nlp,https://github.com/explosion/sense2vec,https://github.com/explosion/sense2vec,MIT,2016-01-23 22:15:49.000000,2020-12-10 16:03:25.000000,2020-05-29 21:31:20.000000,196,15.0,78.0,1145,437.0,Contextually-keyed word vectors.,14.0,23,True,2019-11-22 17:40:43.000000,1.0.2,17.0,sense2vec,conda-forge/sense2vec,,,,55.0,49.0,https://pypi.org/project/sense2vec,2019-11-22 15:49:11.000000,6.0,2163.0,3431.0,https://anaconda.org/conda-forge/sense2vec,2020-03-16 22:19:07.337000,14329.0,,,,,3.0,12322.0,,,,,,,,,,,,,,,,,,,,,,\n425,metric-learn,scikit-learn-contrib/metric-learn,,others,https://github.com/scikit-learn-contrib/metric-learn,https://github.com/scikit-learn-contrib/metric-learn,MIT,2013-11-02 08:29:47.000000,2020-08-04 01:35:49.000000,2020-08-04 01:35:39.000000,205,47.0,109.0,1106,263.0,Metric learning algorithms in Python.,19.0,23,True,2020-07-02 12:55:51.000000,0.6.2,10.0,metric-learn,,,,['sklearn'],125.0,116.0,https://pypi.org/project/metric-learn,2020-07-02 12:59:23.000000,9.0,11243.0,11243.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n426,livelossplot,stared/livelossplot,,ml-experiments,https://github.com/stared/livelossplot,https://github.com/stared/livelossplot,MIT,2018-03-10 17:51:43.000000,2020-11-30 21:45:57.000000,2020-11-16 19:06:21.000000,126,5.0,67.0,1023,304.0,\"Live training loss plot in Jupyter Notebook for Keras, PyTorch and others.\",15.0,23,True,2020-07-24 12:17:19.000000,0.5.3,23.0,livelossplot,,,,['jupyter'],438.0,433.0,https://pypi.org/project/livelossplot,2020-07-24 12:17:19.000000,5.0,10347.0,10347.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n427,Optimus,ironmussa/Optimus,,data-pipelines,https://github.com/ironmussa/Optimus,https://github.com/ironmussa/Optimus,Apache-2.0,2017-07-13 02:31:18.000000,2021-01-28 00:28:00.000000,2021-01-28 00:27:51.000000,189,139.0,165.0,972,3520.0,\"Agile Data Preparation Workflows madeeasy with dask, cudf, dask_cudf and pyspark.\",21.0,23,True,2020-07-19 03:05:40.000000,2.2.32,85.0,optimuspyspark,,,,['spark'],13.0,13.0,https://pypi.org/project/optimuspyspark,2019-05-30 02:22:54.000000,,4050.0,4050.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n428,ChainerRL,chainer/chainerrl,,reinforcement-learning,https://github.com/chainer/chainerrl,https://github.com/chainer/chainerrl,MIT,2017-01-30 04:58:15.000000,2020-12-09 06:26:53.000000,2020-12-09 06:26:52.000000,206,75.0,146.0,922,3458.0,ChainerRL is a deep reinforcement learning library built on top of Chainer.,29.0,23,True,2020-02-14 05:35:56.000000,0.8.0,10.0,chainerrl,,,,,103.0,89.0,https://pypi.org/project/chainerrl,2020-02-14 05:35:56.000000,14.0,421.0,421.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n429,spacy-transformers,explosion/spacy-transformers,,nlp,https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000000,2021-01-27 01:58:24.000000,2021-01-26 03:43:32.000000,101,48.0,134.0,884,1292.0,\"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.\",15.0,23,True,2020-06-29 12:10:14.000000,0.6.2,40.0,spacy-transformers,,,,['spacy'],79.0,73.0,https://pypi.org/project/spacy-transformers,2021-01-26 03:50:15.000000,6.0,8845.0,8845.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n430,luminol,linkedin/luminol,,time-series-data,https://github.com/linkedin/luminol,https://github.com/linkedin/luminol,Apache-2.0,2015-11-18 23:16:33.000000,2020-12-27 09:54:35.000000,2018-01-09 07:46:55.000000,178,24.0,12.0,868,69.0,Anomaly Detection and Correlation library.,8.0,23,False,2016-01-20 01:01:44.000000,0.3.1,5.0,luminol,,,,,49.0,37.0,https://pypi.org/project/luminol,2017-12-11 06:04:15.000000,12.0,138597.0,138597.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n431,Hub,activeloopai/Hub,,data-pipelines,https://github.com/activeloopai/Hub,https://github.com/activeloopai/Hub,MPL-2.0,2019-08-09 06:17:59.000000,2021-01-28 14:22:17.000000,2021-01-27 20:34:26.000000,127,81.0,110.0,788,1525.0,Fastest unstructured dataset management for TensorFlow/PyTorch. Stream data real-time & version-control it...,54.0,23,True,2021-01-24 06:48:33.000000,1.2.0,79.0,hub,,,,\"['tensorflow', 'pytorch']\",168.0,116.0,https://pypi.org/project/hub,2021-01-24 06:48:33.000000,52.0,1034.0,1034.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n432,SciSpacy,allenai/scispacy,,nlp,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52.000000,2021-01-27 23:12:16.000000,2021-01-12 00:58:40.000000,118,17.0,129.0,787,796.0,A full spaCy pipeline and models for scientific/biomedical documents.,15.0,23,True,2020-10-16 17:13:40.000000,0.3.0,9.0,scispacy,,,,,216.0,204.0,https://pypi.org/project/scispacy,2020-10-16 17:13:40.000000,12.0,6638.0,6638.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n433,openTSNE,pavlin-policar/openTSNE,,data-viz,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000000,2021-01-08 15:19:01.004000,2021-01-08 11:25:11.000000,82,3.0,68.0,745,509.0,\"Extensible, parallel implementations of t-SNE.\",10.0,23,True,2021-01-08 12:20:43.000000,0.5.1,19.0,opentsne,conda-forge/opentsne,,,,178.0,174.0,https://pypi.org/project/opentsne,2021-01-08 12:20:43.000000,4.0,8231.0,11177.0,https://anaconda.org/conda-forge/opentsne,2021-01-08 15:19:01.004000,73650.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n434,PySwarms,ljvmiranda921/pyswarms,,others,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45.000000,2021-01-03 21:34:15.000000,2021-01-03 04:18:07.000000,230,16.0,153.0,712,405.0,A research toolkit for particle swarm optimization in Python.,42.0,23,True,2020-11-14 05:18:38.000000,.1.2.0,20.0,pyswarms,,,,,90.0,90.0,https://pypi.org/project/pyswarms,2021-01-03 21:34:15.000000,0.0,4445.0,4445.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n435,Hail,hail-is/hail,,medical-data,https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000000,2021-01-28 15:07:55.000000,2021-01-28 15:07:54.000000,181,323.0,1934.0,693,7617.0,Scalable genomic data analysis.,69.0,23,True,2020-12-03 19:29:37.000000,0.2.61,81.0,hail,,,,['spark'],29.0,29.0,https://pypi.org/project/hail,2020-12-03 19:29:37.000000,,725.0,725.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n436,Singer,singer-io/getting-started,,data-loading,https://github.com/singer-io/getting-started,https://github.com/singer-io/getting-started,AGPL-3.0,2016-10-31 16:53:56.000000,2020-12-04 20:57:23.000000,2020-12-04 20:57:19.000000,96,20.0,16.0,682,173.0,\"Standard for moving data between databases, web APIs, files, queues, and just about anything else you can think of.\",26.0,23,False,2019-11-04 21:43:38.000000,5.9.1,100.0,singer-python,,,,,300.0,,https://pypi.org/project/singer-python,2020-10-27 17:49:47.000000,300.0,51780.0,51780.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n437,arch,bashtage/arch,,financial-data,https://github.com/bashtage/arch,https://github.com/bashtage/arch,NCSA,2014-08-29 15:41:28.000000,2021-01-27 10:48:09.000000,2021-01-27 10:44:27.000000,158,18.0,124.0,638,751.0,ARCH models in Python.,26.0,23,False,2020-06-24 19:19:12.000000,4.15,26.0,arch,,,,,284.0,242.0,https://pypi.org/project/arch,2020-06-24 19:20:21.000000,42.0,24226.0,24226.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n438,PDPbox,SauceCat/PDPbox,,data-viz,https://github.com/SauceCat/PDPbox,https://github.com/SauceCat/PDPbox,MIT,2017-06-26 08:01:54.000000,2021-01-13 08:25:09.000000,2018-12-08 10:06:13.000000,83,37.0,17.0,525,223.0,python partial dependence plot toolbox.,7.0,23,False,2018-07-23 13:33:35.000000,0.2.0,2.0,pdpbox,conda-forge/pdpbox,,,,332.0,298.0,https://pypi.org/project/pdpbox,2018-07-23 13:33:35.000000,34.0,33615.0,33928.0,https://anaconda.org/conda-forge/pdpbox,2019-07-17 16:58:38.379000,5647.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n439,tinytag,devsnd/tinytag,,audio,https://github.com/devsnd/tinytag,https://github.com/devsnd/tinytag,MIT,2014-01-27 15:27:01.000000,2020-11-11 16:20:54.000000,2020-11-11 16:13:44.000000,78,14.0,60.0,432,308.0,\"Read music meta data and length of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA and Wave files with python 2 or 3.\",18.0,23,True,2020-11-05 12:44:52.000000,1.5.0,33.0,tinytag,,,,,395.0,299.0,https://pypi.org/project/tinytag,2020-11-05 12:44:52.000000,96.0,2081.0,2081.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n440,random-forest-importances,parrt/random-forest-importances,,interpretability,https://github.com/parrt/random-forest-importances,https://github.com/parrt/random-forest-importances,MIT,2018-03-22 19:20:13.000000,2021-01-08 18:35:14.000000,2021-01-08 18:35:13.000000,88,5.0,25.0,404,243.0,Code to compute permutation and drop-column importances in Python scikit-learn models.,14.0,23,True,2020-11-25 22:11:59.000000,1.3.6,21.0,rfpimp,,,,['sklearn'],61.0,59.0,https://pypi.org/project/rfpimp,2020-11-25 22:11:59.000000,2.0,8222.0,8222.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n441,messytables,okfn/messytables,,data-loading,https://github.com/okfn/messytables,https://github.com/okfn/messytables,MIT,2011-07-27 18:08:21.000000,2021-01-07 22:24:38.000000,2019-11-13 07:35:33.000000,96,30.0,55.0,359,601.0,Tools for parsing messy tabular data. This is now superseded by https://github.com/frictionlessdata/tabulator-py.,44.0,23,False,2017-02-09 12:37:47.000000,0.15.2,26.0,messytables,,,,,390.0,172.0,https://pypi.org/project/messytables,2017-02-09 12:37:47.000000,218.0,4653.0,4653.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n442,pySBD,nipunsadvilkar/pySBD,,nlp,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20.000000,2020-12-01 05:37:27.000000,2020-12-01 05:37:25.000000,26,4.0,43.0,265,274.0,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,6.0,23,True,2020-10-08 11:41:09.000000,0.3.3,14.0,pysbd,,,,,104.0,102.0,https://pypi.org/project/pysbd,2020-10-08 11:33:56.000000,2.0,8205.0,8205.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n443,SUOD,yzhao062/SUOD,,others,https://github.com/yzhao062/SUOD,https://github.com/yzhao062/SUOD,BSD-2-Clause,2019-11-20 00:23:54.000000,2021-01-19 14:42:08.000000,2021-01-19 14:42:01.000000,27,3.0,2.0,235,134.0,(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection).,1.0,23,True,2021-01-15 02:12:04.000000,0.0.6,7.0,suod,,,,,249.0,249.0,https://pypi.org/project/suod,2021-01-15 02:12:04.000000,,62465.0,62465.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n444,pysparkling,svenkreiss/pysparkling,,data-pipelines,https://github.com/svenkreiss/pysparkling,https://github.com/svenkreiss/pysparkling,MIT,2015-05-09 19:23:20.000000,2021-01-28 15:12:49.000000,2021-01-28 08:08:37.000000,43,3.0,21.0,232,1516.0,A pure Python implementation of Apache Spark's RDD and DStream interfaces.,10.0,23,True,2021-01-10 21:15:26.000000,0.6.1,68.0,pysparkling,,,,,70.0,56.0,https://pypi.org/project/pysparkling,2021-01-10 21:15:26.000000,14.0,4775.0,4775.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n445,TensorFlow Cloud,tensorflow/cloud,,tensorflow-utils,https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59.000000,2021-01-28 09:02:49.000000,2021-01-27 19:07:08.000000,44,46.0,25.0,219,502.0,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,16.0,23,True,2021-01-06 23:08:07.000000,0.1.11,14.0,tensorflow-cloud,,,,['tensorflow'],19.0,19.0,https://pypi.org/project/tensorflow-cloud,2021-01-06 23:08:07.000000,0.0,82435.0,82435.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n446,pyexcel-xlsx,pyexcel/pyexcel-xlsx,,data-loading,https://github.com/pyexcel/pyexcel-xlsx,https://github.com/pyexcel/pyexcel-xlsx,BSD-3-Clause,2014-12-02 00:03:24.000000,2020-11-28 22:30:58.000000,2020-11-28 22:30:53.000000,16,12.0,20.0,84,267.0,\"A wrapper library to read, manipulate and write data in xlsx and xlsm format using openpyxl.\",4.0,23,False,2020-10-10 13:13:09.000000,0.6.0,30.0,pyexcel-xlsx,conda-forge/pyexcel-xlsx,,,,1395.0,1085.0,https://pypi.org/project/pyexcel-xlsx,2019-12-28 20:09:57.000000,310.0,30697.0,31077.0,https://anaconda.org/conda-forge/pyexcel-xlsx,2020-10-10 15:53:49.660000,14832.0,,,,,3.0,46.0,,,,,,,,,,,,,,,,,,,,,,\n447,Vaex,vaexio/vaex,,data-containers,https://github.com/vaexio/vaex,https://github.com/vaexio/vaex,MIT,2014-09-27 09:44:42.000000,2021-01-28 08:01:34.000000,2021-01-27 19:31:26.000000,441,286.0,390.0,5682,2958.0,\"Out-of-Core DataFrames for Python, ML, visualize and explore big tabular data at a billion rows per second.\",38.0,22,True,2020-05-25 21:35:34.000000,3.0.0,48.0,vaex,conda-forge/vaex,,,,2.0,,https://pypi.org/project/vaex,2021-01-27 18:51:38.000000,2.0,3079.0,4926.0,https://anaconda.org/conda-forge/vaex,2020-06-01 18:35:17.510000,94138.0,,,,,3.0,199.0,,,,,,,,,,,,,,,,,,,,,,\n448,mmdnn,Microsoft/MMdnn,,model-serialisation,https://github.com/microsoft/MMdnn,https://github.com/microsoft/MMdnn,MIT,2017-08-16 08:03:52.000000,2020-10-22 09:57:53.000000,2020-08-14 02:32:30.000000,922,306.0,284.0,5189,1083.0,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,85.0,22,True,2020-07-24 06:34:39.000000,0.3.1,12.0,mmdnn,,,,,52.0,49.0,https://pypi.org/project/mmdnn,2020-07-24 06:34:39.000000,3.0,431.0,517.0,,,,,,,,2.0,3282.0,,,,,,,,,,,,,,,,,,,,,,\n449,neon,NervanaSystems/neon,,ml-frameworks,https://github.com/NervanaSystems/neon,https://github.com/NervanaSystems/neon,Apache-2.0,2014-10-16 01:00:17.000000,2020-12-23 01:21:42.000000,2019-05-22 18:27:54.000000,848,87.0,305.0,3852,1118.0,Intel Nervana reference deep learning framework committed to best performance on all hardware.,109.0,22,False,2018-01-05 23:25:04.000000,2.6.0,32.0,nervananeon,,,,,38.0,38.0,https://pypi.org/project/nervananeon,2018-01-05 23:25:04.000000,,124.0,127.0,,,,,,,,3.0,255.0,,,,,,,,,,,,,,,,,,,,,,\n450,Image Deduplicator,idealo/imagededup,,image,https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54.000000,2020-12-21 13:30:38.000000,2020-11-23 17:40:40.000000,277,17.0,53.0,3359,460.0,Finding duplicate images made easy!.,9.0,22,True,2020-11-23 17:55:24.000000,0.2.4,9.0,imagededup,,,,['tensorflow'],9.0,8.0,https://pypi.org/project/imagededup,2020-11-22 21:09:36.000000,1.0,1181.0,1181.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n451,ArrayFire,arrayfire/arrayfire,,gpu-utilities,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000000,2021-01-28 06:49:43.000000,2021-01-22 15:50:57.000000,454,254.0,1200.0,3294,5675.0,ArrayFire: a general purpose GPU library.,80.0,22,True,2021-01-08 21:41:09.000000,3.8.0,30.0,arrayfire,,,,,2.0,,https://pypi.org/project/arrayfire,2018-10-18 14:13:29.000000,2.0,518.0,527.0,,,,,,,,2.0,634.0,,,,,,,,,,,,,,,,,,,,,,\n452,Image Super-Resolution,idealo/image-super-resolution,,image,https://github.com/idealo/image-super-resolution,https://github.com/idealo/image-super-resolution,Apache-2.0,2018-11-26 13:41:13.000000,2020-11-11 15:09:20.000000,2020-11-11 15:09:19.000000,476,50.0,98.0,2491,138.0,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,9.0,22,True,2020-01-08 15:37:35.000000,2.2.0,11.0,ISR,,idealo/image-super-resolution-gpu,,['tensorflow'],43.0,39.0,https://pypi.org/project/ISR,2020-01-08 15:37:35.000000,4.0,2024.0,2028.0,,,,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,,120.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n453,analytics-zoo,intel-analytics/analytics-zoo,,distributed-ml,https://github.com/intel-analytics/analytics-zoo,https://github.com/intel-analytics/analytics-zoo,Apache-2.0,2017-05-05 02:27:30.000000,2021-01-28 12:57:10.000000,2021-01-28 09:33:37.000000,631,426.0,522.0,2185,2554.0,\"Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray.\",81.0,22,True,2020-12-17 03:25:36.000000,0.9.0,46.0,analytics-zoo,,,,['spark'],2.0,2.0,https://pypi.org/project/analytics-zoo,2021-01-20 02:29:39.000000,,574.0,574.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n454,TF Ranking,tensorflow/ranking,,recommender-systems,https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57.000000,2021-01-21 08:07:51.000000,2020-08-19 20:44:22.000000,358,21.0,196.0,2027,213.0,Learning to Rank in TensorFlow.,17.0,22,True,2020-08-19 21:58:05.000000,0.3.2,14.0,tensorflow_ranking,,,,['tensorflow'],1.0,,https://pypi.org/project/tensorflow_ranking,2020-08-19 21:14:13.000000,1.0,14697.0,14697.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n455,Mars,mars-project/mars,,others,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03.000000,2021-01-28 14:55:43.000000,2021-01-28 14:03:56.000000,241,116.0,644.0,2006,705.0,\"Mars is a tensor-based unified framework for large-scale data computation which scales Numpy, pandas, Scikit-learn and..\",17.0,22,True,2021-01-17 14:22:18.000000,0.6.3,70.0,pymars,,,,,3.0,3.0,https://pypi.org/project/pymars,2021-01-17 12:33:23.000000,0.0,1462.0,1462.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n456,PandasGUI,adamerose/pandasgui,,data-viz,https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT,2019-06-12 02:19:42.000000,2021-01-27 22:15:51.000000,2021-01-22 14:49:58.000000,114,13.0,54.0,2003,403.0,A GUI for Pandas DataFrames.,7.0,22,True,2020-11-10 17:30:20.000000,0.2.7,37.0,pandasgui,,,,['pandas'],35.0,34.0,https://pypi.org/project/pandasgui,2020-11-10 17:30:20.000000,1.0,1368.0,1368.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n457,knockknock,huggingface/knockknock,,ml-experiments,https://github.com/huggingface/knockknock,https://github.com/huggingface/knockknock,MIT,2019-03-20 13:08:55.000000,2021-01-09 06:11:00.000000,2020-03-16 04:26:47.000000,158,12.0,21.0,1962,75.0,Knock Knock: Get notified when your training ends with only two additional lines of code.,18.0,22,True,2020-03-04 04:15:47.000000,0.1.8,10.0,knockknock,conda-forge/knockknock,,,,136.0,133.0,https://pypi.org/project/knockknock,2020-03-16 14:30:23.000000,3.0,1355.0,1710.0,https://anaconda.org/conda-forge/knockknock,2020-03-17 01:52:16.317000,5336.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n458,Gradio,gradio-app/gradio,,others,https://github.com/gradio-app/gradio,https://github.com/gradio-app/gradio,Apache-2.0,2018-12-19 08:24:04.000000,2021-01-28 00:47:41.000000,2021-01-28 00:46:52.000000,125,6.0,60.0,1956,910.0,\"Wrap UIs around any model, share with anyone.\",14.0,22,True,2021-01-27 18:47:28.000000,1.5.0,81.0,gradio,,,,,64.0,62.0,https://pypi.org/project/gradio,2021-01-28 00:47:41.000000,2.0,911.0,911.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n459,scikit-opt,guofei9987/scikit-opt,,sklearn-utils,https://github.com/guofei9987/scikit-opt,https://github.com/guofei9987/scikit-opt,MIT,2017-12-05 10:20:41.000000,2021-01-07 07:01:36.000000,2021-01-07 07:01:35.000000,449,23.0,62.0,1882,237.0,\"Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune..\",8.0,22,True,2020-11-20 12:55:12.000000,0.6.1,18.0,scikit-opt,,,,['sklearn'],28.0,25.0,https://pypi.org/project/scikit-opt,2020-11-20 12:52:22.000000,3.0,608.0,608.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n460,PyFlux,RJT1990/pyflux,,time-series-data,https://github.com/RJT1990/pyflux,https://github.com/RJT1990/pyflux,BSD-3-Clause,2016-02-16 20:12:02.000000,2019-03-19 10:45:02.000000,2018-12-16 15:30:13.000000,209,79.0,65.0,1844,118.0,Open source time series library for Python.,6.0,22,False,2017-11-21 16:27:06.000000,0.4.16,35.0,pyflux,,,,,182.0,167.0,https://pypi.org/project/pyflux,2017-11-21 16:27:06.000000,15.0,9262.0,9262.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n461,MONAI,Project-MONAI/MONAI,,medical-data,https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000000,2021-01-28 14:30:51.000000,2021-01-28 13:12:07.000000,301,78.0,595.0,1748,754.0,AI Toolkit for Healthcare Imaging.,53.0,22,True,2020-12-15 15:21:13.000000,0.4.0,15.0,monai,,,,['pytorch'],,,https://pypi.org/project/monai,2020-12-15 15:16:56.000000,,3404.0,3404.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n462,DDSP,magenta/ddsp,,audio,https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27.000000,2021-01-25 18:53:10.000000,2021-01-25 18:52:58.000000,160,13.0,89.0,1731,348.0,DDSP: Differentiable Digital Signal Processing.,24.0,22,True,2021-01-14 01:59:27.000000,1.0.1,28.0,ddsp,,,,['tensorflow'],5.0,5.0,https://pypi.org/project/ddsp,2021-01-14 01:59:27.000000,,895.0,895.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n463,Essentia,MTG/essentia,,audio,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000000,2021-01-27 12:52:47.000000,2021-01-27 12:52:46.000000,395,307.0,559.0,1713,2724.0,\"C++ library for audio and music analysis, description and synthesis, including Python bindings.\",69.0,22,False,2015-03-31 16:33:30.000000,2.0,9.0,essentia,,,,,157.0,152.0,https://pypi.org/project/essentia,2021-01-13 00:12:18.000000,5.0,1062.0,1062.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n464,scattertext,JasonKessler/scattertext,,nlp,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12.000000,2021-01-18 15:00:35.497000,2021-01-18 09:12:39.000000,202,17.0,56.0,1492,338.0,Beautiful visualizations of how language differs among document types.,10.0,22,True,2017-03-13 05:31:21.000000,0.0.2.4.4,129.0,scattertext,conda-forge/scattertext,,,,156.0,148.0,https://pypi.org/project/scattertext,2021-01-18 09:01:42.000000,8.0,1559.0,2607.0,https://anaconda.org/conda-forge/scattertext,2021-01-18 15:00:35.497000,42976.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n465,fast-bert,kaushaltrivedi/fast-bert,,nlp,https://github.com/utterworks/fast-bert,https://github.com/utterworks/fast-bert,Apache-2.0,2019-04-18 22:01:20.000000,2020-12-17 21:05:51.000000,2020-12-17 21:05:43.000000,302,137.0,91.0,1485,262.0,Super easy library for BERT based NLP models.,34.0,22,True,2020-12-09 21:27:58.000000,1.9.5,40.0,fast-bert,,,,,2.0,,https://pypi.org/project/fast-bert,2020-12-09 21:27:58.000000,2.0,1404.0,1404.0,,,,,,,,3.0,,,,,,,,,,,,,utterworks/fast-bert,,,,,,,,,,\n466,cleanlab,cgnorthcutt/cleanlab,,others,https://github.com/cgnorthcutt/cleanlab,https://github.com/cgnorthcutt/cleanlab,MIT,2018-05-11 01:55:21.000000,2021-01-22 20:09:58.000000,2021-01-22 20:09:58.000000,152,17.0,35.0,1443,698.0,The standard package for machine learning with noisy labels and finding mislabeled data in Python.,5.0,22,True,2020-02-17 07:33:06.000000,0.1.1,15.0,cleanlab,,,,,10.0,10.0,https://pypi.org/project/cleanlab,2020-02-17 07:33:06.000000,,2530.0,2530.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n467,anaGo,Hironsan/anago,,nlp,https://github.com/Hironsan/anago,https://github.com/Hironsan/anago,MIT,2017-06-26 21:28:36.000000,2020-11-13 17:31:18.000000,2019-10-23 03:19:52.000000,350,36.0,71.0,1374,296.0,\"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.\",11.0,22,False,2018-06-03 13:51:56.000000,1.0.0,14.0,anago,,,,['tensorflow'],25.0,25.0,https://pypi.org/project/anago,2018-07-17 01:59:21.000000,,1980.0,1980.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n468,Talos,autonomio/talos,,hyperopt,https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41.000000,2020-11-21 16:37:14.000000,2020-11-21 16:27:04.000000,224,41.0,343.0,1363,538.0,\"Hyperparameter Optimization for TensorFlow, Keras and PyTorch.\",19.0,22,True,2020-11-09 16:48:30.000000,1.0,13.0,talos,,,,['tensorflow'],113.0,107.0,https://pypi.org/project/talos,2020-11-09 16:46:45.000000,6.0,1014.0,1014.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n469,hnswlib,nmslib/hnswlib,,nn-search,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000000,2021-01-25 20:58:51.000000,2020-08-18 21:30:59.000000,237,80.0,104.0,1323,195.0,Header-only C++/python library for fast approximate nearest neighbors.,32.0,22,True,2020-07-13 04:50:55.000000,0.4.0,3.0,hnswlib,,,,,2.0,,https://pypi.org/project/hnswlib,2020-07-13 04:50:55.000000,2.0,13158.0,13158.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n470,fklearn,nubank/fklearn,,ml-frameworks,https://github.com/nubank/fklearn,https://github.com/nubank/fklearn,Apache-2.0,2019-02-27 14:32:57.000000,2021-01-27 11:37:46.000000,2021-01-27 11:37:45.000000,149,19.0,19.0,1295,113.0,fklearn: Functional Machine Learning.,37.0,22,True,2020-10-02 15:11:00.000000,1.21.0,19.0,fklearn,,,,,9.0,9.0,https://pypi.org/project/fklearn,2020-10-02 15:11:00.000000,,3713.0,3713.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n471,EfficientNets,rwightman/gen-efficientnet-pytorch,,pytorch-utils,https://github.com/rwightman/gen-efficientnet-pytorch,https://github.com/rwightman/gen-efficientnet-pytorch,Apache-2.0,2019-05-11 19:35:56.000000,2020-11-30 05:51:08.000000,2020-11-30 05:49:27.000000,169,,47.0,1241,106.0,\"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.\",5.0,22,True,2020-08-20 19:55:21.000000,1.0.0,9.0,geffnet,,,,['pytorch'],30.0,30.0,https://pypi.org/project/geffnet,2020-08-20 19:55:21.000000,,1524.0,1524.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n472,MLBox,AxeldeRomblay/MLBox,,hyperopt,https://github.com/AxeldeRomblay/MLBox,https://github.com/AxeldeRomblay/MLBox,BSD-1-Clause,2017-06-01 16:59:24.000000,2020-11-24 17:57:08.000000,2020-08-25 09:26:27.000000,243,10.0,72.0,1183,1121.0,MLBox is a powerful Automated Machine Learning python library.,9.0,22,False,2020-08-25 09:32:37.000000,0.8.5,21.0,mlbox,,,,,20.0,20.0,https://pypi.org/project/mlbox,2020-08-25 09:32:37.000000,,716.0,716.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n473,pycm,sepandhaghighi/pycm,,others,https://github.com/sepandhaghighi/pycm,https://github.com/sepandhaghighi/pycm,MIT,2018-01-22 19:46:54.000000,2021-01-25 22:56:53.000000,2020-10-26 15:51:32.000000,92,15.0,150.0,1048,2508.0,Multi-class confusion matrix library in Python.,14.0,22,True,2020-10-26 16:31:56.000000,3.0,34.0,pycm,,,,,95.0,85.0,https://pypi.org/project/pycm,2020-10-26 16:32:30.000000,10.0,2195.0,2195.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n474,garage,rlworkgroup/garage,,reinforcement-learning,https://github.com/rlworkgroup/garage,https://github.com/rlworkgroup/garage,MIT,2018-06-10 21:31:23.000000,2021-01-28 01:49:21.000000,2021-01-28 01:49:16.000000,190,182.0,773.0,1042,1191.0,A toolkit for reproducible reinforcement learning research.,73.0,22,True,2020-09-17 07:34:11.000000,2020.6.3,21.0,garage,,,,['tensorflow'],13.0,13.0,https://pypi.org/project/garage,2020-10-02 17:16:03.000000,,147.0,147.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n475,modAL,modAL-python/modAL,,others,https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000000,2021-01-07 09:54:00.000000,2021-01-07 09:40:40.000000,173,43.0,50.0,1017,648.0,A modular active learning framework for Python.,14.0,22,True,2021-01-07 09:47:49.000000,0.4.1,12.0,modAL,,,,['sklearn'],53.0,45.0,https://pypi.org/project/modAL,2021-01-07 09:47:49.000000,8.0,878.0,878.0,,,,,,,,3.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n476,bt,pmorissette/bt,,financial-data,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28.000000,2021-01-27 22:04:31.000000,2021-01-27 22:04:30.000000,248,52.0,163.0,939,395.0,bt - flexible backtesting for Python.,20.0,22,True,2018-05-28 17:12:46.000000,0.2.7,23.0,bt,,,,,63.0,43.0,https://pypi.org/project/bt,2018-05-28 17:12:46.000000,20.0,2333.0,2333.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n477,pandasql,yhat/pandasql,,data-containers,https://github.com/yhat/pandasql,https://github.com/yhat/pandasql,MIT,2013-02-18 01:53:56.000000,2020-08-14 13:00:13.000000,2017-02-01 15:40:30.000000,141,44.0,23.0,936,127.0,sqldf for pandas.,15.0,22,False,2016-04-20 21:52:36.000000,0.7.3,31.0,pandasql,,,,['pandas'],678.0,629.0,https://pypi.org/project/pandasql,2016-04-20 21:52:36.000000,49.0,136041.0,136041.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n478,fancyimpute,iskandr/fancyimpute,,sklearn-utils,https://github.com/iskandr/fancyimpute,https://github.com/iskandr/fancyimpute,Apache-2.0,2015-11-05 23:39:34.000000,2021-01-25 00:27:52.000000,2021-01-25 00:27:51.000000,142,4.0,103.0,918,198.0,Multivariate imputation and matrix completion algorithms implemented in Python.,11.0,22,True,2020-07-16 21:36:59.000000,0.5.5,26.0,fancyimpute,,,,['sklearn'],687.0,666.0,https://pypi.org/project/fancyimpute,2020-07-16 21:36:59.000000,21.0,6557.0,6557.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n479,Alibi,SeldonIO/alibi,,interpretability,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Apache-2.0,2019-02-26 10:10:56.000000,2021-01-28 12:27:30.000000,2021-01-22 16:57:32.000000,102,65.0,74.0,868,228.0,Algorithms for monitoring and explaining machine learning models.,11.0,22,True,2020-10-20 14:14:29.000000,0.5.5,15.0,alibi,,,,,69.0,60.0,https://pypi.org/project/alibi,2020-10-20 14:13:40.000000,9.0,1965.0,1965.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n480,keract,philipperemy/keract,,interpretability,https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57.000000,2021-01-24 05:36:30.000000,2021-01-24 05:36:29.000000,175,1.0,75.0,847,359.0,Activation Maps (Layers Outputs) and Gradients in Keras.,15.0,22,True,2020-12-30 19:38:30.000000,4.3.4,37.0,keract,,,,['tensorflow'],71.0,66.0,https://pypi.org/project/keract,2021-01-22 09:01:30.000000,5.0,1078.0,1078.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n481,FinTA,peerchemist/finta,,financial-data,https://github.com/peerchemist/finta,https://github.com/peerchemist/finta,LGPL-3.0,2016-09-01 21:02:46.000000,2021-01-13 05:19:43.000000,2020-11-04 21:30:11.000000,291,9.0,58.0,805,364.0,Common financial technical indicators implemented in Pandas.,21.0,22,False,2020-10-21 11:36:19.000000,1.2,19.0,finta,,,,,58.0,54.0,https://pypi.org/project/finta,2020-10-21 11:39:44.000000,4.0,2308.0,2308.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n482,Neural Structured Learning,tensorflow/neural-structured-learning,,tensorflow-utils,https://github.com/tensorflow/neural-structured-learning,https://github.com/tensorflow/neural-structured-learning,Apache-2.0,2019-08-27 21:48:16.000000,2021-01-25 19:10:53.000000,2021-01-25 19:10:48.000000,138,4.0,39.0,767,354.0,Training neural models with structured signals.,26.0,22,True,2020-08-18 00:30:03.000000,1.3.1,7.0,neural-structured-learning,,,,['tensorflow'],25.0,25.0,https://pypi.org/project/neural-structured-learning,2020-08-18 00:35:35.000000,,2043.0,2043.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n483,minisom,JustGlowing/minisom,,others,https://github.com/JustGlowing/minisom,https://github.com/JustGlowing/minisom,CC-BY-3.0,2013-07-03 10:10:06.000000,2021-01-19 16:04:54.000000,2021-01-19 16:04:54.000000,242,8.0,61.0,765,425.0,MiniSom is a minimalistic implementation of the Self Organizing Maps.,20.0,22,False,2020-11-03 08:23:06.000000,2.2.7,14.0,minisom,,,,,143.0,139.0,https://pypi.org/project/minisom,2020-06-19 06:29:59.000000,4.0,5221.0,5221.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n484,Explainability 360,Trusted-AI/AIX360,,interpretability,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48.000000,2020-12-04 16:51:14.000000,2020-12-04 16:49:39.000000,168,26.0,18.0,757,305.0,Interpretability and explainability of data and machine learning models.,27.0,22,True,2020-10-28 09:32:21.000000,0.2.1,4.0,aix360,,,,,14.0,13.0,https://pypi.org/project/aix360,2020-10-28 09:18:17.000000,1.0,452.0,452.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n485,Opacus,pytorch/opacus,,privacy-ml,https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000000,2021-01-27 22:42:19.000000,2021-01-27 22:38:55.000000,90,8.0,49.0,728,213.0,Training PyTorch models with differential privacy.,24.0,22,True,2020-12-17 17:30:40.000000,0.11.0,6.0,opacus,,,,['pytorch'],11.0,11.0,https://pypi.org/project/opacus,2020-12-17 17:30:40.000000,,1528.0,1531.0,,,,,,,,2.0,30.0,,,,,,,,,,,,,,,,,,,,,,\n486,ogb,snap-stanford/ogb,,graph,https://github.com/snap-stanford/ogb,https://github.com/snap-stanford/ogb,MIT,2019-11-22 22:13:57.000000,2021-01-23 19:47:25.000000,2021-01-23 19:47:19.000000,107,,88.0,725,397.0,\"Benchmark datasets, data loaders, and evaluators for graph machine learning.\",12.0,22,True,2020-12-29 18:13:08.000000,1.2.4,10.0,ogb,,,,,44.0,44.0,https://pypi.org/project/ogb,2020-12-29 18:08:55.000000,0.0,1743.0,1743.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n487,kapre,keunwoochoi/kapre,,audio,https://github.com/keunwoochoi/kapre,https://github.com/keunwoochoi/kapre,MIT,2016-12-14 18:36:36.000000,2021-01-18 11:46:52.000000,2020-11-16 17:11:54.000000,129,5.0,80.0,704,188.0,kapre: Keras Audio Preprocessors.,13.0,22,True,2020-09-29 18:49:13.000000,0.3.4,21.0,kapre,,,,['tensorflow'],478.0,467.0,https://pypi.org/project/kapre,2020-09-29 18:49:13.000000,11.0,869.0,869.0,,,,,,,,3.0,8.0,,,,,,,,,,,,,,,,,,,,,,\n488,Darts,unit8co/darts,,time-series-data,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000000,2021-01-28 14:40:55.000000,2020-11-09 15:33:02.000000,86,17.0,42.0,703,284.0,A python library for easy manipulation and forecasting of time series.,23.0,22,True,2020-11-09 16:00:41.000000,0.5.0,8.0,u8darts,,unit8/darts,,,12.0,12.0,https://pypi.org/project/u8darts,2020-11-09 16:00:41.000000,,2107.0,2109.0,,,,https://hub.docker.com/r/unit8/darts,2020-10-06 11:35:55.085411,,75.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n489,GPUtil,anderskm/gputil,,gpu-utilities,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43.000000,2020-10-01 05:42:49.000000,2019-08-16 09:00:15.000000,76,10.0,14.0,664,140.0,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,13.0,22,False,2018-12-18 09:12:13.000000,1.4.0,8.0,gputil,,,,,1065.0,963.0,https://pypi.org/project/gputil,2018-12-18 09:12:13.000000,102.0,49182.0,49182.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n490,TreeInterpreter,andosa/treeinterpreter,,interpretability,https://github.com/andosa/treeinterpreter,https://github.com/andosa/treeinterpreter,BSD-3-Clause,2015-08-02 20:26:21.000000,2021-01-10 20:20:58.000000,2021-01-10 20:14:03.000000,133,25.0,3.0,635,35.0,Package for interpreting scikit-learn's decision tree and random forest predictions.,10.0,22,True,2021-01-10 20:12:39.000000,0.2.3,5.0,treeinterpreter,,,,['sklearn'],135.0,117.0,https://pypi.org/project/treeinterpreter,2021-01-10 20:12:39.000000,18.0,57588.0,57588.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n491,Node2Vec,eliorc/node2vec,,graph,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000000,2021-01-09 08:40:34.000000,2021-01-09 08:39:26.000000,165,,47.0,628,48.0,Implementation of the node2vec algorithm.,7.0,22,True,2021-01-09 08:40:34.000000,0.4.1,13.0,node2vec,conda-forge/node2vec,,,,122.0,112.0,https://pypi.org/project/node2vec,2021-01-09 08:38:24.000000,10.0,3748.0,4229.0,https://anaconda.org/conda-forge/node2vec,2020-04-25 22:41:13.714000,15398.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n492,pingouin,raphaelvallat/pingouin,,probabilistics,https://github.com/raphaelvallat/pingouin,https://github.com/raphaelvallat/pingouin,GPL-3.0,2018-04-01 01:10:22.000000,2021-01-19 01:56:22.238000,2021-01-19 00:11:27.000000,50,15.0,108.0,626,1058.0,Statistical package in Python based on Pandas.,15.0,22,False,2021-01-19 00:33:47.000000,0.3.9,31.0,pingouin,conda-forge/pingouin,,,,165.0,155.0,https://pypi.org/project/pingouin,2021-01-19 00:29:57.000000,10.0,11940.0,13147.0,https://anaconda.org/conda-forge/pingouin,2021-01-19 01:56:22.238000,30195.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n493,scikit-multilearn,scikit-multilearn/scikit-multilearn,,sklearn-utils,https://github.com/scikit-multilearn/scikit-multilearn,https://github.com/scikit-multilearn/scikit-multilearn,BSD-2-Clause,2014-04-30 13:05:44.000000,2020-06-30 10:19:46.000000,2019-05-21 11:29:06.000000,118,64.0,91.0,622,487.0,A scikit-learn based module for multi-label et. al. classification.,15.0,22,False,2018-12-10 16:24:47.000000,0.2.0,6.0,scikit-multilearn,,,,['sklearn'],339.0,336.0,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47.000000,3.0,41209.0,41209.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n494,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,,data-viz,https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14.000000,2021-01-27 21:04:48.000000,2021-01-27 20:56:22.000000,76,21.0,53.0,602,262.0,Bokeh Plotting Backend for Pandas and GeoPandas.,11.0,22,True,2021-01-27 21:04:48.000000,0.5.3,14.0,pandas-bokeh,,,,['pandas'],138.0,128.0,https://pypi.org/project/pandas-bokeh,2021-01-27 21:04:48.000000,10.0,5080.0,5080.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n495,Prince,MaxHalford/prince,,others,https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000000,2021-01-13 14:32:13.000000,2021-01-11 21:14:58.000000,108,26.0,64.0,558,179.0,\"Python factor analysis library (PCA, CA, MCA, MFA, FAMD).\",9.0,22,True,2020-10-06 11:26:47.000000,0.7.1,41.0,prince,,,,['sklearn'],104.0,101.0,https://pypi.org/project/prince,2020-10-06 11:26:47.000000,3.0,5132.0,5132.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n496,CellProfiler,CellProfiler/CellProfiler,,image,https://github.com/CellProfiler/CellProfiler,https://github.com/CellProfiler/CellProfiler,BSD-3-Clause,2011-04-05 12:10:12.000000,2021-01-20 15:00:30.000000,2021-01-19 18:12:46.000000,268,161.0,2763.0,535,15285.0,An open-source application for biological image analysis.,119.0,22,True,2020-11-20 23:32:23.000000,4.0.7,40.0,cellprofiler,,,,,3.0,3.0,https://pypi.org/project/cellprofiler,2017-09-04 18:03:36.000000,,98.0,104.0,,,,,,,,3.0,587.0,,,,,,,,,,,,,,,,,,,,,,\n497,Guild AI,guildai/guildai,,ml-experiments,https://github.com/guildai/guildai,https://github.com/guildai/guildai,Apache-2.0,2017-09-27 18:57:50.000000,2021-01-27 20:20:07.000000,2021-01-25 16:50:00.000000,42,93.0,148.0,529,4310.0,\"Experiment tracking, ML developer tools.\",16.0,22,True,2021-01-14 21:03:23.000000,0.7.2,161.0,guildai,,,,,25.0,25.0,https://pypi.org/project/guildai,2021-01-14 21:03:23.000000,,1891.0,1891.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n498,Caer,jasmcaus/caer,,image,https://github.com/jasmcaus/caer,https://github.com/jasmcaus/caer,MIT,2020-08-06 18:36:14.000000,2021-01-28 14:07:13.000000,2021-01-28 14:08:18.000000,40,5.0,8.0,425,4863.0,\"A lightweight Computer Vision library. Scale your models, not boilerplate.\",4.0,22,True,2021-01-23 10:10:20.000000,1.9.7,108.0,caer,,,https://caer.rtfd.io,,0.0,,https://pypi.org/project/caer,2021-01-23 10:07:31.000000,0.0,531107.0,531109.0,,,,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,,,,,\n499,scikit-lego,koaning/scikit-lego,,sklearn-utils,https://github.com/koaning/scikit-lego,https://github.com/koaning/scikit-lego,MIT,2019-01-21 15:30:15.000000,2021-01-14 09:10:30.000000,2021-01-14 09:10:23.000000,66,21.0,182.0,395,370.0,Extra blocks for scikit-learn pipelines.,38.0,22,True,2020-10-25 11:24:35.000000,0.6.2,29.0,scikit-lego,conda-forge/scikit-lego,,,['sklearn'],15.0,15.0,https://pypi.org/project/scikit-lego,2021-01-04 09:19:31.000000,0.0,831.0,1343.0,https://anaconda.org/conda-forge/scikit-lego,2020-11-02 09:40:04.581000,7684.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n500,python-ternary,marcharper/python-ternary,,data-viz,https://github.com/marcharper/python-ternary,https://github.com/marcharper/python-ternary,MIT,2012-08-07 23:48:55.000000,2021-01-05 02:49:30.000000,2021-01-05 02:49:29.000000,110,24.0,77.0,385,378.0,Ternary plotting library for python with matplotlib.,25.0,22,True,2020-05-10 19:01:32.000000,1.0.7,10.0,python-ternary,conda-forge/python-ternary,,,,63.0,53.0,https://pypi.org/project/python-ternary,2020-05-10 19:01:32.000000,10.0,861.0,1697.0,https://anaconda.org/conda-forge/python-ternary,2020-05-10 19:48:41.398000,47702.0,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,,,,,\n501,Cornac,PreferredAI/cornac,,recommender-systems,https://github.com/PreferredAI/cornac,https://github.com/PreferredAI/cornac,Apache-2.0,2018-07-17 06:31:35.000000,2021-01-27 22:57:04.000000,2021-01-27 22:57:03.000000,55,1.0,28.0,297,1160.0,A Comparative Framework for Multimodal Recommender Systems.,11.0,22,True,2020-12-28 07:16:20.000000,1.10.0,35.0,cornac,conda-forge/cornac,,,,27.0,26.0,https://pypi.org/project/cornac,2020-12-28 07:23:56.000000,1.0,741.0,5692.0,https://anaconda.org/conda-forge/cornac,2021-01-04 15:45:16.261000,99022.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n502,vega,vega/ipyvega,,data-viz,https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000000,2021-01-11 12:24:54.000000,2021-01-11 12:24:51.000000,46,8.0,79.0,293,473.0,IPython/Jupyter notebook module for Vega and Vega-Lite.,9.0,22,True,2020-05-15 23:40:02.000000,3.4.0,37.0,vega,conda-forge/vega,,,['jupyter'],148.0,,https://pypi.org/project/vega,2020-05-15 23:40:02.000000,148.0,13959.0,20799.0,https://anaconda.org/conda-forge/vega,2020-12-10 15:03:57.175000,376200.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n503,pyvips,libvips/pyvips,,image,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000000,2020-12-27 23:03:46.000000,2020-12-27 23:01:11.000000,25,70.0,132.0,287,390.0,python binding for libvips using cffi.,10.0,22,True,2020-12-18 11:44:57.000000,2.1.14,20.0,pyvips,conda-forge/pyvips,,,,162.0,140.0,https://pypi.org/project/pyvips,2020-12-18 11:44:57.000000,22.0,3004.0,3363.0,https://anaconda.org/conda-forge/pyvips,2020-10-14 10:02:33.542000,6118.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n504,EarthPy,earthlab/earthpy,,geospatial-data,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000000,2021-01-28 12:37:38.000000,2020-12-03 23:03:15.000000,96,26.0,199.0,221,1066.0,A package built to support working with spatial data using open source python.,38.0,22,True,2020-06-18 23:58:08.000000,0.9.2,22.0,earthpy,conda-forge/earthpy,,,,80.0,74.0,https://pypi.org/project/earthpy,2020-06-18 23:58:08.000000,6.0,1260.0,2526.0,https://anaconda.org/conda-forge/earthpy,2020-06-19 15:23:44.425000,26588.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n505,Orion,Epistimio/orion,,hyperopt,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21.000000,2021-01-25 16:41:18.000000,2021-01-25 16:41:17.000000,35,20.0,104.0,179,2470.0,Asynchronous Distributed Hyperparameter Optimization.,18.0,22,True,2021-01-19 22:46:16.000000,0.1.12,13.0,orion,,,,,47.0,39.0,https://pypi.org/project/orion,2021-01-19 22:46:16.000000,8.0,1003.0,1003.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n506,py3nvml,fbcotter/py3nvml,,gpu-utilities,https://github.com/fbcotter/py3nvml,https://github.com/fbcotter/py3nvml,BSD-3-Clause,2016-11-21 01:07:37.000000,2020-10-10 10:41:08.987000,2020-04-23 06:54:42.000000,24,2.0,9.0,163,79.0,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,6.0,22,True,2020-04-06 16:02:10.000000,0.2.6,13.0,py3nvml,conda-forge/py3nvml,,,,241.0,221.0,https://pypi.org/project/py3nvml,2020-04-06 16:02:10.000000,20.0,71152.0,72086.0,https://anaconda.org/conda-forge/py3nvml,2020-10-10 10:41:08.987000,11214.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n507,openpyxl,,,data-loading,,https://openpyxl.readthedocs.io,MIT,2015-11-03 00:22:17.154000,2021-01-16 15:51:35.602000,,0,184.0,1414.0,17,,A Python library to read/write Excel 2010 xlsx/xlsm files.,,22,False,2021-01-14 19:15:29.000000,3.0.6,96.0,openpyxl,openpyxl,openpyxl/openpyxl-ci,https://openpyxl.readthedocs.io/en/stable/,,9770.0,,https://pypi.org/project/openpyxl,2021-01-14 19:00:13.000000,9770.0,5229171.0,5229862.0,https://anaconda.org/anaconda/openpyxl,2021-01-16 15:51:35.602000,41771.0,https://hub.docker.com/r/openpyxl/openpyxl-ci,2018-09-13 18:04:17.646261,,1174.0,3.0,,,,,,,,,0.0,,,,,,,,,,,,https://foss.heptapod.net/api/graphql::openpyxl/openpyxl,https://foss.heptapod.net/openpyxl/openpyxl,\n508,Recommenders,microsoft/recommenders,,recommender-systems,https://github.com/microsoft/recommenders,https://github.com/microsoft/recommenders,MIT,2018-09-19 10:06:07.000000,2021-01-26 23:26:04.000000,2021-01-04 11:10:33.000000,1575,104.0,433.0,9076,6261.0,Best Practices on Recommendation Systems.,88.0,21,True,2020-08-20 15:11:46.000000,2020.8,6.0,,,,,,1.0,1.0,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n509,cortex,cortexlabs/cortex,,model-serialisation,https://github.com/cortexlabs/cortex,https://github.com/cortexlabs/cortex,Apache-2.0,2019-01-24 04:43:14.000000,2021-01-28 13:26:30.000000,2021-01-26 22:39:44.000000,548,188.0,710.0,7255,1827.0,Run inference at scale.,18.0,21,True,2021-01-21 05:23:13.000000,0.27.0,45.0,cortex,,,,,0.0,,https://pypi.org/project/cortex,2021-01-21 05:17:11.000000,0.0,605.0,605.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n510,mace,XiaoMi/mace,,ml-frameworks,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12.000000,2021-01-26 10:49:30.000000,2021-01-10 08:24:13.000000,756,39.0,583.0,4278,3086.0,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,54.0,21,True,2021-01-12 02:48:05.000000,1.0.2,9.0,,,,,,,,,,,,44.0,,,,,,,,3.0,1296.0,,,,,,,,,,,,,,,,,,,,,,\n511,cuDF,rapidsai/cudf,,gpu-utilities,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000000,2021-01-28 15:15:22.000000,2021-01-28 02:19:49.000000,475,565.0,2748.0,3629,,cuDF - GPU DataFrame Library.,199.0,21,True,2020-12-10 17:28:54.000000,0.17.0,5.0,cudf,,,,,4.0,,https://pypi.org/project/cudf,2020-06-01 20:07:47.000000,4.0,509.0,509.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n512,DeepMatcher,anhaidgroup/deepmatcher,,nlp,https://github.com/anhaidgroup/deepmatcher,https://github.com/anhaidgroup/deepmatcher,BSD-3-Clause,2017-12-01 19:01:11.000000,2020-09-27 17:25:56.000000,2020-04-20 02:34:24.000000,1276,47.0,15.0,3405,169.0,Python package for performing Entity and Text Matching using Deep Learning.,7.0,21,True,2019-12-30 19:49:33.000000,0.1.1,9.0,deepmatcher,,,,,10.0,10.0,https://pypi.org/project/deepmatcher,2019-12-30 19:49:33.000000,,221.0,221.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n513,AdaNet,tensorflow/adanet,,hyperopt,https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24.000000,2020-07-09 21:03:28.000000,2020-07-09 20:51:04.000000,498,64.0,47.0,3227,439.0,Fast and flexible AutoML with learning guarantees.,26.0,21,True,2020-07-09 20:53:28.000000,0.9.0,13.0,adanet,,,,['tensorflow'],35.0,33.0,https://pypi.org/project/adanet,2020-07-09 21:03:28.000000,2.0,512.0,512.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n514,dpark,douban/dpark,,data-pipelines,https://github.com/douban/dpark,https://github.com/douban/dpark,BSD-3-Clause,2012-04-11 08:35:06.000000,2020-12-25 10:36:06.000000,2020-12-25 10:36:05.000000,554,,60.0,2647,1467.0,\"Python clone of Spark, a MapReduce alike framework in Python.\",35.0,21,True,2018-07-27 04:11:36.000000,0.5.0,19.0,dpark,,,,['spark'],4.0,3.0,https://pypi.org/project/dpark,2018-07-27 04:11:36.000000,1.0,25.0,25.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n515,NLP Architect,IntelLabs/nlp-architect,,nlp,https://github.com/IntelLabs/nlp-architect,https://github.com/IntelLabs/nlp-architect,Apache-2.0,2018-05-17 21:00:13.000000,2021-01-25 20:32:07.000000,2021-01-14 15:53:57.000000,394,16.0,104.0,2582,949.0,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,36.0,21,True,2020-11-17 12:32:37.000000,0.5.5.1,13.0,nlp-architect,,,,,7.0,7.0,https://pypi.org/project/nlp-architect,2020-04-12 11:34:38.000000,,171.0,171.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n516,tensorflow-graphics,tensorflow/graphics,,image,https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44.000000,2021-01-28 12:56:25.000000,2021-01-28 12:51:22.000000,277,99.0,81.0,2392,572.0,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,32.0,21,True,2020-05-20 19:56:41.000000,2020.5.20,21.0,tensorflow-graphics,,,,['tensorflow'],3.0,,https://pypi.org/project/tensorflow-graphics,2020-05-20 19:56:41.000000,3.0,852.0,852.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n517,Luminoth,tryolabs/luminoth,,image,https://github.com/tryolabs/luminoth,https://github.com/tryolabs/luminoth,BSD-3-Clause,2017-02-16 15:07:46.000000,2020-12-24 21:01:24.000000,2020-01-07 20:53:25.000000,401,50.0,127.0,2336,838.0,Deep Learning toolkit for Computer Vision.,15.0,21,True,2018-10-31 22:19:52.000000,0.2.3,10.0,luminoth,,,,['tensorflow'],27.0,27.0,https://pypi.org/project/luminoth,2018-11-09 21:35:17.000000,,454.0,740.0,,,,,,,,3.0,11167.0,,,,,,,,,,,,,,,,,,,,,,\n518,Porcupine,Picovoice/Porcupine,,audio,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000000,2021-01-27 18:48:27.000000,2021-01-27 18:48:20.000000,332,8.0,271.0,2310,371.0,On-device wake word detection powered by deep learning.,25.0,21,True,2020-12-02 15:34:40.000000,1.9,13.0,pvporcupine,,,,,4.0,4.0,https://pypi.org/project/pvporcupine,2020-10-02 19:16:49.000000,0.0,637.0,637.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n519,TensorTrade,tensortrade-org/tensortrade,,financial-data,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32.000000,2021-01-16 21:13:56.000000,2021-01-06 20:35:52.000000,587,33.0,119.0,2227,851.0,\"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.\",46.0,21,True,,,25.0,tensortrade,,,,,11.0,10.0,https://pypi.org/project/tensortrade,2020-08-24 18:26:46.000000,1.0,842.0,842.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n520,DeepVariant,google/deepvariant,,medical-data,https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000000,2021-01-22 18:05:39.000000,2020-12-14 23:35:27.000000,526,5.0,369.0,2169,1503.0,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,19.0,21,True,2020-12-07 17:56:31.000000,1.1.0,15.0,,bioconda/deepvariant,,,['tensorflow'],,,,,,,817.0,https://anaconda.org/bioconda/deepvariant,2020-09-05 07:25:11.429000,26560.0,,,,,3.0,2988.0,,,,,,,,,,,,,,,,,,,,,,\n521,Texar,asyml/texar,,nlp,https://github.com/asyml/texar,https://github.com/asyml/texar,Apache-2.0,2017-07-22 19:02:05.000000,2020-09-17 07:03:55.000000,2020-07-29 00:38:30.000000,329,32.0,126.0,2095,1719.0,\"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the..\",41.0,21,True,2019-11-19 04:11:18.000000,0.2.4,6.0,texar,,,,['tensorflow'],14.0,12.0,https://pypi.org/project/texar,2019-11-19 04:11:18.000000,2.0,105.0,105.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n522,D-Tale,man-group/dtale,,data-viz,https://github.com/man-group/dtale,https://github.com/man-group/dtale,LGPL-2.1,2019-07-15 09:34:48.000000,2021-01-26 04:46:31.012000,2021-01-26 03:49:33.000000,135,36.0,260.0,1966,303.0,Visualizer for pandas data structures.,11.0,21,True,2021-01-26 04:35:16.000000,.1.32.1,98.0,dtale,conda-forge/dtale,,,\"['pandas', 'jupyter']\",84.0,84.0,https://pypi.org/project/dtale,2021-01-26 04:29:35.000000,0.0,3116.0,6075.0,https://anaconda.org/conda-forge/dtale,2021-01-26 04:46:31.012000,32553.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,True\n523,PARL,PaddlePaddle/PARL,,reinforcement-learning,https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22.000000,2021-01-28 09:14:55.000000,2021-01-27 06:54:13.000000,415,52.0,148.0,1793,1.0,A high-performance distributed training framework for Reinforcement Learning.,21.0,21,True,2021-01-08 08:16:06.000000,1.4.1,16.0,parl,,,,['paddle'],65.0,65.0,https://pypi.org/project/parl,2021-01-08 08:16:06.000000,,227.0,227.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n524,auto_ml,ClimbsRocks/auto_ml,,hyperopt,https://github.com/ClimbsRocks/auto_ml,https://github.com/ClimbsRocks/auto_ml,MIT,2016-08-07 21:35:08.000000,2020-12-29 07:56:49.000000,2018-03-25 19:46:25.000000,293,185.0,215.0,1513,1149.0,[UNMAINTAINED] Automated machine learning for analytics & production.,13.0,21,False,2018-02-22 01:13:03.000000,2.9.10,78.0,auto_ml,,,,,2.0,,https://pypi.org/project/auto_ml,2018-02-22 01:13:03.000000,2.0,1204.0,1204.0,,,,,,,,3.0,33.0,,,,,,,,,,,,,,,,,,,,,,\n525,lore,instacart/lore,,ml-experiments,https://github.com/instacart/lore,https://github.com/instacart/lore,MIT,2017-10-19 21:51:45.000000,2021-01-05 17:20:41.000000,2020-05-11 22:26:45.000000,118,16.0,18.0,1512,270.0,Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers.,22.0,21,True,2020-05-11 22:28:23.000000,0.8.4,231.0,lore,,,,,17.0,16.0,https://pypi.org/project/lore,2020-05-11 22:28:23.000000,1.0,435.0,435.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n526,Magnitude,plasticityai/magnitude,,nn-search,https://github.com/plasticityai/magnitude,https://github.com/plasticityai/magnitude,MIT,2018-02-24 07:28:16.000000,2020-07-17 20:19:50.000000,2020-07-17 20:19:46.000000,98,24.0,50.0,1378,350.0,\"A fast, efficient universal vector embedding utility package.\",4.0,21,True,2020-05-25 11:26:36.000000,0.1.143,128.0,pymagnitude,,,,,186.0,172.0,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36.000000,14.0,3617.0,3617.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n527,TensorFlow Privacy,tensorflow/privacy,,privacy-ml,https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000000,2021-01-25 20:02:09.000000,2021-01-25 20:02:04.000000,265,41.0,76.0,1318,440.0,Library for training machine learning models with privacy for training data.,35.0,21,True,2020-09-03 01:13:47.000000,.0.5.1,9.0,tensorflow-privacy,,,,['tensorflow'],1.0,,https://pypi.org/project/tensorflow-privacy,2020-09-03 01:10:15.000000,1.0,3883.0,3885.0,,,,,,,,2.0,41.0,,,,,,,,,,,,,,,,,,,,,,\n528,Neural Tangents,google/neural-tangents,,ml-frameworks,https://github.com/google/neural-tangents,https://github.com/google/neural-tangents,Apache-2.0,2019-04-08 16:48:48.000000,2021-01-25 23:20:02.000000,2021-01-25 21:28:09.000000,148,28.0,49.0,1298,364.0,Fast and Easy Infinite Neural Networks in Python.,17.0,21,True,2021-01-25 23:20:02.000000,0.3.6,20.0,neural-tangents,,,,,13.0,13.0,https://pypi.org/project/neural-tangents,2021-01-25 23:06:16.000000,0.0,396.0,410.0,,,,,,,,3.0,103.0,,,,,,,,,,,,,,,,,,,,,,\n529,NiftyNet,NifTK/NiftyNet,,medical-data,https://github.com/NifTK/NiftyNet,https://github.com/NifTK/NiftyNet,Apache-2.0,2017-08-30 07:55:43.000000,2020-04-21 19:54:52.000000,2020-04-21 19:54:51.000000,372,99.0,224.0,1264,2848.0,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,58.0,21,True,2019-10-09 19:33:30.000000,0.6.0,11.0,niftynet,,,,['tensorflow'],33.0,33.0,https://pypi.org/project/niftynet,2019-10-10 10:59:33.000000,,129.0,129.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n530,Pypeline,cgarciae/pypeln,,data-pipelines,https://github.com/cgarciae/pypeln,https://github.com/cgarciae/pypeln,MIT,2018-09-01 13:43:31.000000,2021-01-05 18:00:20.000000,2021-01-05 17:59:44.000000,66,12.0,35.0,1209,234.0,Concurrent data pipelines in Python .,9.0,21,True,2021-01-05 18:00:06.000000,0.4.7,34.0,pypeln,,,,,5.0,,https://pypi.org/project/pypeln,2021-01-05 18:00:06.000000,5.0,2553.0,2553.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n531,Torchmeta,tristandeleu/pytorch-meta,,pytorch-utils,https://github.com/tristandeleu/pytorch-meta,https://github.com/tristandeleu/pytorch-meta,MIT,2018-12-04 23:36:45.000000,2020-11-25 16:45:01.000000,2020-11-25 16:41:48.000000,129,19.0,69.0,1188,341.0,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.,10.0,21,True,2020-11-25 16:45:01.000000,1.6.1,26.0,torchmeta,,,,['pytorch'],26.0,26.0,https://pypi.org/project/torchmeta,2020-11-25 16:45:01.000000,,395.0,395.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n532,Karate Club,benedekrozemberczki/karateclub,,graph,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56.000000,2021-01-25 18:14:21.000000,2021-01-25 18:10:17.000000,137,,47.0,1141,2117.0,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,11.0,21,False,2021-01-25 18:14:21.000000,_10023,96.0,karateclub,,,,,22.0,22.0,https://pypi.org/project/karateclub,2021-01-25 18:11:58.000000,,1236.0,1236.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n533,datatable,h2oai/datatable,,data-containers,https://github.com/h2oai/datatable,https://github.com/h2oai/datatable,MPL-2.0,2017-03-03 02:32:59.000000,2021-01-27 22:58:22.000000,2021-01-27 22:58:20.000000,96,125.0,1104.0,1101,,A Python package for manipulating 2-dimensional tabular data structures.,28.0,21,True,2020-12-10 09:10:50.000000,0.11.1,15.0,datatable,,,,,6.0,,https://pypi.org/project/datatable,2020-12-10 08:04:03.000000,6.0,11145.0,11167.0,,,,,,,,3.0,921.0,,,,,,,,,,,,,,,,,,,,,,\n534,FARM,deepset-ai/FARM,,nlp,https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12.000000,2021-01-27 21:23:10.000000,2021-01-26 11:42:49.000000,152,32.0,291.0,1079,522.0,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,30.0,21,True,2021-01-20 16:57:05.000000,0.6.2,22.0,farm,,,,['pytorch'],2.0,,https://pypi.org/project/farm,2021-01-20 16:51:38.000000,2.0,2217.0,2217.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n535,tensorly,tensorly/tensorly,,others,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52.000000,2021-01-28 14:12:38.000000,2021-01-27 12:20:44.000000,186,24.0,94.0,953,,TensorLy: Tensor Learning in Python.,38.0,21,True,2020-12-07 20:30:41.000000,0.5.1,16.0,tensorly,conda-forge/tensorly,,,,20.0,,https://pypi.org/project/tensorly,2020-12-07 20:30:41.000000,20.0,2243.0,5725.0,https://anaconda.org/conda-forge/tensorly,2020-12-07 22:44:30.386000,111443.0,,,,,3.0,,,-2.0,,,,,,,,,,,,,,,,,,,,\n536,TFEncrypted,tf-encrypted/tf-encrypted,,privacy-ml,https://github.com/tf-encrypted/tf-encrypted,https://github.com/tf-encrypted/tf-encrypted,Apache-2.0,2018-03-21 18:22:13.000000,2020-11-19 15:48:03.000000,2020-08-19 16:56:56.000000,134,164.0,231.0,815,595.0,A Framework for Encrypted Machine Learning in TensorFlow.,28.0,21,True,2019-09-27 20:00:01.000000,0.5.9,35.0,tf-encrypted,,,,['tensorflow'],54.0,46.0,https://pypi.org/project/tf-encrypted,2019-10-21 18:05:53.000000,8.0,345.0,345.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n537,scikit-cuda,lebedov/scikit-cuda,,gpu-utilities,https://github.com/lebedov/scikit-cuda,https://github.com/lebedov/scikit-cuda,BSD-3-Clause,2010-09-27 02:02:07.000000,2020-07-13 12:48:39.000000,2020-07-13 12:47:46.000000,155,39.0,163.0,795,1026.0,Python interface to GPU-powered libraries.,44.0,21,True,2019-05-27 00:29:00.000000,0.5.3,7.0,scikit-cuda,,,,,143.0,112.0,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00.000000,31.0,498.0,498.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n538,nude.py,hhatto/nude.py,,image,https://github.com/hhatto/nude.py,https://github.com/hhatto/nude.py,MIT,2013-06-09 06:55:55.000000,2020-11-23 13:49:32.000000,2020-11-23 13:49:02.000000,128,6.0,2.0,790,79.0,Nudity detection with Python.,12.0,21,True,2020-11-23 13:49:17.000000,0.5.1,10.0,nudepy,,,,,70.0,61.0,https://pypi.org/project/nudepy,2020-11-23 13:49:17.000000,9.0,1400.0,1400.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n539,iNNvestigate,albermax/innvestigate,,interpretability,https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20.000000,2020-12-30 15:22:24.000000,2020-10-16 15:26:56.000000,169,72.0,127.0,753,882.0,A toolbox to iNNvestigate neural networks' predictions!.,18.0,21,True,2019-03-19 14:31:31.000000,1.0.9,2.0,innvestigate,,,,['tensorflow'],47.0,46.0,https://pypi.org/project/innvestigate,2020-11-14 11:35:59.000000,1.0,341.0,341.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n540,AstroML,astroML/astroML,,others,https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50.000000,2020-09-09 15:52:15.000000,2020-09-09 15:52:13.000000,247,48.0,80.0,719,508.0,\"Machine learning, statistics, and data mining for astronomy and astrophysics.\",29.0,21,True,2019-10-02 06:32:58.000000,0.4.1,10.0,astroML,conda-forge/astroml,,,['sklearn'],189.0,160.0,https://pypi.org/project/astroML,2020-03-23 23:20:49.000000,29.0,447.0,968.0,https://anaconda.org/conda-forge/astroml,2020-02-16 04:18:54.678000,21386.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n541,gmaps,pbugnion/gmaps,,geospatial-data,https://github.com/pbugnion/gmaps,https://github.com/pbugnion/gmaps,BSD-3-Clause,2014-12-01 09:12:06.000000,2020-10-13 07:09:18.000000,2019-07-22 06:22:45.000000,141,63.0,135.0,697,1380.0,Google maps for Jupyter notebooks.,16.0,21,False,2019-07-21 08:49:48.715000,0.9.0,93.0,gmaps,conda-forge/gmaps,,,['jupyter'],38.0,1.0,https://pypi.org/project/gmaps,2019-07-20 07:47:04.000000,37.0,3198.0,9129.0,https://anaconda.org/conda-forge/gmaps,2019-08-02 11:56:50.940000,202178.0,,,,,3.0,,,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715000,,1337.0,,,,,,,,,,,,,,,\n542,fairlearn,fairlearn/fairlearn,,interpretability,https://github.com/fairlearn/fairlearn,https://github.com/fairlearn/fairlearn,MIT,2018-05-15 01:51:35.000000,2021-01-26 00:57:29.000000,2021-01-20 09:19:31.000000,163,78.0,109.0,658,550.0,A Python package to assess and improve fairness of machine learning models.,29.0,21,True,2020-11-10 15:01:51.000000,0.5.0,12.0,fairlearn,conda-forge/fairlearn,,,['sklearn'],1.0,,https://pypi.org/project/fairlearn,2020-11-10 13:19:12.000000,1.0,2582.0,3368.0,https://anaconda.org/conda-forge/fairlearn,2020-11-11 16:56:35.159000,8647.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n543,Sentinelsat,sentinelsat/sentinelsat,,geospatial-data,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26.000000,2021-01-22 13:11:27.000000,2021-01-22 13:11:23.000000,162,29.0,208.0,551,773.0,Search and download Copernicus Sentinel satellite images.,34.0,21,False,2020-06-12 07:15:51.000000,0.14,36.0,sentinelsat,,,,,182.0,160.0,https://pypi.org/project/sentinelsat,2020-06-12 07:08:37.000000,22.0,5380.0,5383.0,,,,,,,,3.0,191.0,,,,,,,,,,,,,,,,,,,,,,\n544,pickleDB,patx/pickledb,,data-containers,https://github.com/patx/pickledb,https://github.com/patx/pickledb,BSD-3-Clause,2011-10-28 00:04:40.000000,2020-08-25 09:47:52.000000,2019-11-15 03:38:30.000000,92,16.0,39.0,534,105.0,pickleDB is an open source key-value store using Python's json module.,11.0,21,False,2019-01-13 22:40:32.000000,0.9.1,19.0,pickledb,,,,,573.0,471.0,https://pypi.org/project/pickledb,2019-01-13 22:40:32.000000,102.0,13633.0,13633.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n545,Studio.ml,studioml/studio,,ml-experiments,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28.000000,2021-01-22 20:27:41.000000,2021-01-22 20:09:17.000000,48,56.0,189.0,369,2324.0,Studio: Simplify and expedite model building process.,21.0,21,True,2021-01-19 22:49:48.000000,0.0.39,181.0,studioml,,,,,3.0,3.0,https://pypi.org/project/studioml,2021-01-22 20:27:41.000000,,943.0,943.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n546,PyNNDescent,lmcinnes/pynndescent,,nn-search,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000000,2021-01-27 21:24:08.000000,2021-01-27 21:24:03.000000,44,28.0,29.0,367,464.0,A Python nearest neighbor descent for approximate nearest neighbors.,10.0,21,True,2020-11-19 20:20:48.000000,0.5.1,20.0,pynndescent,conda-forge/pynndescent,,,,3.0,,https://pypi.org/project/pynndescent,2020-11-19 20:20:48.000000,3.0,31803.0,33088.0,https://anaconda.org/conda-forge/pynndescent,2020-11-19 22:20:12.326000,24417.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n547,optunity,claesenm/optunity,,hyperopt,https://github.com/claesenm/optunity,https://github.com/claesenm/optunity,BSD-3-Clause,2014-05-28 17:29:11.000000,2020-05-11 14:32:39.000000,2020-05-11 14:32:38.000000,73,45.0,48.0,363,782.0,optimization routines for hyperparameter tuning.,9.0,21,True,2015-09-30 05:02:00.000000,1.1.1,6.0,optunity,,,,,65.0,58.0,https://pypi.org/project/optunity,2015-09-30 05:02:00.000000,7.0,8560.0,8560.0,,,,,,,,3.0,62.0,,,,,,,,,,,,,,,,,,,,,,\n548,Pandas Summary,mouradmourafiq/pandas-summary,,data-containers,https://github.com/mouradmourafiq/pandas-summary,https://github.com/mouradmourafiq/pandas-summary,MIT,2016-03-25 21:59:32.000000,2019-08-24 21:10:25.000000,2019-08-24 21:10:24.000000,34,8.0,5.0,357,24.0,An extension to pandas dataframes describe function.,6.0,21,False,2016-08-30 07:54:59.000000,0.0.41,8.0,pandas-summary,,,,['pandas'],579.0,560.0,https://pypi.org/project/pandas-summary,2016-08-30 07:54:59.000000,19.0,18932.0,18932.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n549,Neuraxle,Neuraxio/Neuraxle,,hyperopt,https://github.com/Neuraxio/Neuraxle,https://github.com/Neuraxio/Neuraxle,Apache-2.0,2019-03-26 21:01:54.000000,2021-01-26 23:43:37.000000,2021-01-12 03:35:32.000000,39,120.0,130.0,357,1324.0,A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right..,7.0,21,True,2020-09-20 16:29:39.000000,0.5.6,18.0,neuraxle,,,,,17.0,17.0,https://pypi.org/project/neuraxle,2020-09-20 16:29:39.000000,0.0,268.0,268.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n550,PyTorch Sparse,rusty1s/pytorch_sparse,,pytorch-utils,https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53.000000,2021-01-19 11:21:56.000000,2021-01-19 11:21:52.000000,44,34.0,51.0,344,512.0,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,12.0,21,True,2020-11-02 10:42:59.000000,0.6.8,21.0,torch-sparse,,,,['pytorch'],17.0,,https://pypi.org/project/torch-sparse,2020-11-02 10:43:20.000000,17.0,3733.0,3733.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n551,aequitas,dssg/aequitas,,interpretability,https://github.com/dssg/aequitas,https://github.com/dssg/aequitas,MIT,2018-02-13 19:40:30.000000,2021-01-15 15:48:55.000000,2020-12-20 16:40:35.000000,63,33.0,20.0,342,853.0,Bias and Fairness Audit Toolkit.,15.0,21,True,2020-08-23 23:38:51.000000,0.42.0,16.0,aequitas,,,,,67.0,64.0,https://pypi.org/project/aequitas,2020-12-16 11:48:14.000000,3.0,221.0,221.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n552,torch-cluster,rusty1s/pytorch_cluster,,graph,https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06.000000,2021-01-03 16:07:26.000000,2021-01-03 16:07:22.000000,67,35.0,37.0,333,499.0,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,17.0,21,True,2020-10-31 14:42:35.000000,1.5.8,38.0,torch-cluster,,,,['pytorch'],32.0,,https://pypi.org/project/torch-cluster,2020-10-31 14:42:35.000000,32.0,2196.0,2196.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n553,BioPandas,rasbt/biopandas,,others,https://github.com/rasbt/biopandas,https://github.com/rasbt/biopandas,BSD-3-Clause,2015-11-21 00:00:14.000000,2021-01-01 17:08:09.000000,2021-01-01 17:08:08.000000,77,16.0,18.0,320,144.0,Working with molecular structures in pandas DataFrames.,7.0,21,True,2020-08-04 13:52:27.000000,0.2.7,11.0,biopandas,conda-forge/biopandas,,,['pandas'],54.0,48.0,https://pypi.org/project/biopandas,2020-08-04 13:49:59.000000,6.0,223.0,1512.0,https://anaconda.org/conda-forge/biopandas,2020-08-08 06:33:59.197000,63166.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n554,joypy,sbebo/joypy,,data-viz,https://github.com/sbebo/joypy,https://github.com/sbebo/joypy,MIT,2017-07-30 17:18:50.000000,2020-12-28 14:07:53.760000,2020-12-28 11:56:12.000000,32,4.0,34.0,314,108.0,Joyplots in Python with matplotlib & pandas.,5.0,21,True,2020-12-28 11:54:36.000000,0.2.4,16.0,joypy,conda-forge/joypy,,,,69.0,63.0,https://pypi.org/project/joypy,2020-12-28 11:54:36.000000,6.0,2084.0,2440.0,https://anaconda.org/conda-forge/joypy,2020-12-28 14:07:53.760000,7850.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n555,SDV,sdv-dev/SDV,,data-loading,https://github.com/sdv-dev/SDV,https://github.com/sdv-dev/SDV,MIT,2018-05-11 15:56:50.000000,2021-01-28 11:19:18.000000,2021-01-28 10:44:18.000000,58,41.0,137.0,312,779.0,\"Synthetic Data Generation for tabular, relational and time series data.\",33.0,21,True,2021-01-28 00:14:45.000000,0.7.0,40.0,sdv,,,,,13.0,13.0,https://pypi.org/project/sdv,2021-01-28 00:13:40.000000,0.0,909.0,909.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n556,NIPY,nipy/nipy,,medical-data,https://github.com/nipy/nipy,https://github.com/nipy/nipy,DSDP,2010-05-02 10:00:33.000000,2020-11-24 19:22:47.000000,2020-10-14 22:51:30.000000,123,43.0,104.0,289,6371.0,Neuroimaging in Python FMRI analysis package.,63.0,21,False,2018-02-19 14:14:08.000000,0.4.2,6.0,nipy,conda-forge/nipy,,,,29.0,,https://pypi.org/project/nipy,2018-02-19 14:14:08.000000,29.0,556.0,2234.0,https://anaconda.org/conda-forge/nipy,2020-05-04 19:38:04.112000,70478.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n557,datatest,shawnbrown/datatest,,data-loading,https://github.com/shawnbrown/datatest,https://github.com/shawnbrown/datatest,Apache-2.0,2016-05-12 13:16:27.000000,2021-01-27 09:05:24.000000,2021-01-27 08:56:02.000000,13,9.0,42.0,236,2135.0,Tools for test driven data-wrangling and data validation.,6.0,21,True,2021-01-04 03:43:58.000000,0.11.1,17.0,datatest,,,,,31.0,29.0,https://pypi.org/project/datatest,2021-01-04 03:39:40.000000,2.0,1793.0,1793.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n558,pymap3d,geospace-code/pymap3d,,geospatial-data,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03.000000,2020-12-23 03:44:01.000000,2020-12-23 03:43:54.000000,55,2.0,22.0,172,622.0,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,8.0,21,True,2020-09-21 15:20:10.000000,2.4.3,45.0,pymap3d,conda-forge/pymap3d,,,,3.0,,https://pypi.org/project/pymap3d,2020-09-21 15:16:49.000000,3.0,10076.0,10678.0,https://anaconda.org/conda-forge/pymap3d,2020-09-24 05:54:07.357000,6029.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n559,scikit-posthocs,maximtrp/scikit-posthocs,,probabilistics,https://github.com/maximtrp/scikit-posthocs,https://github.com/maximtrp/scikit-posthocs,MIT,2017-06-22 19:41:37.000000,2020-10-19 08:16:22.000000,2020-10-19 08:16:21.000000,18,3.0,32.0,172,430.0,Pairwise Multiple Comparisons (Post Hoc) Tests in Python.,7.0,21,True,2020-10-12 19:15:07.000000,0.6.6,20.0,scikit-posthocs,,,,['sklearn'],108.0,105.0,https://pypi.org/project/scikit-posthocs,2020-10-12 19:06:51.000000,3.0,8171.0,8171.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,,,,,\n560,Dejavu,worldveil/dejavu,,audio,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35.000000,2020-10-29 17:40:17.000000,2020-06-03 05:58:03.000000,1236,83.0,129.0,5310,146.0,Audio fingerprinting and recognition in Python.,23.0,20,True,2015-04-19 21:20:16.000000,0.1.3,4.0,PyDejavu,,,,,17.0,16.0,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16.000000,1.0,68.0,68.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n561,MMF,facebookresearch/mmf,,image,https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40.000000,2021-01-28 02:27:45.000000,2021-01-27 23:50:40.000000,592,92.0,324.0,4067,763.0,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,52.0,20,True,2019-08-26 19:04:21.000000,0.3.1,11.0,mmf,,,,['pytorch'],6.0,6.0,https://pypi.org/project/mmf,2020-06-11 16:09:52.000000,,78.0,78.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n562,MatchZoo,NTMC-Community/MatchZoo,,nlp,https://github.com/NTMC-Community/MatchZoo,https://github.com/NTMC-Community/MatchZoo,Apache-2.0,2017-06-08 08:55:22.000000,2020-06-17 07:27:59.000000,2019-10-24 13:10:07.000000,858,27.0,427.0,3336,1808.0,\"Facilitating the design, comparison and sharing of deep text matching models.\",35.0,20,False,2019-10-24 13:09:11.000000,2.2.0,5.0,matchzoo,,,,['tensorflow'],9.0,9.0,https://pypi.org/project/matchzoo,2019-10-24 13:09:11.000000,,112.0,112.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n563,MindsDB,mindsdb/mindsdb,,ml-frameworks,https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,GPL-3.0,2018-08-02 17:56:45.000000,2021-01-27 18:38:25.000000,2021-01-27 01:20:21.000000,407,36.0,472.0,3186,,Predictive AI layer for existing databases.,55.0,20,False,2021-01-26 13:20:08.000000,2.19.2,42.0,mindsdb,,,,['pytorch'],3.0,,https://pypi.org/project/mindsdb,2019-03-19 05:07:23.000000,3.0,1828.0,1828.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n564,TRFL,deepmind/trfl,,reinforcement-learning,https://github.com/deepmind/trfl,https://github.com/deepmind/trfl,Apache-2.0,2018-08-08 14:44:11.000000,2020-11-06 04:44:44.000000,2020-04-20 13:05:56.000000,372,6.0,16.0,3060,116.0,TensorFlow Reinforcement Learning.,12.0,20,True,2020-04-20 14:11:57.000000,1.1.0,4.0,trfl,,,,['tensorflow'],39.0,37.0,https://pypi.org/project/trfl,2020-04-20 14:11:57.000000,2.0,605.0,605.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n565,DALI,NVIDIA/DALI,,gpu-utilities,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000000,2021-01-28 15:08:24.000000,2021-01-27 15:47:53.000000,368,184.0,604.0,3056,1680.0,A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep..,55.0,20,True,2021-01-27 17:28:00.000000,0.30.0,36.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n566,FATE,FederatedAI/FATE,,privacy-ml,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000000,2021-01-28 12:42:11.000000,2021-01-17 03:20:44.000000,800,277.0,524.0,2734,6609.0,An Industrial Grade Federated Learning Framework.,50.0,20,True,2020-11-13 13:36:14.000000,1.5.0,24.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n567,image-match,EdjoLabs/image-match,,image,https://github.com/EdjoLabs/image-match,https://github.com/EdjoLabs/image-match,Apache-2.0,2016-03-08 18:16:45.000000,2021-01-04 18:36:01.000000,2021-01-04 18:35:59.000000,351,47.0,47.0,2507,404.0,Quickly search over billions of images.,17.0,20,True,2017-02-13 14:54:48.000000,1.1.2,10.0,image_match,,,,,3.0,,https://pypi.org/project/image_match,2017-02-13 14:54:48.000000,3.0,308.0,308.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n568,gpt-2-simple,minimaxir/gpt-2-simple,,nlp,https://github.com/minimaxir/gpt-2-simple,https://github.com/minimaxir/gpt-2-simple,MIT,2019-04-13 20:00:52.000000,2020-11-13 18:28:40.000000,2020-04-24 02:31:04.000000,497,129.0,90.0,2462,130.0,Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts.,16.0,20,True,2019-12-28 04:05:21.000000,0.7.1,15.0,gpt-2-simple,,,,['tensorflow'],3.0,,https://pypi.org/project/gpt-2-simple,2019-12-28 04:03:29.000000,3.0,4380.0,4389.0,,,,,,,,3.0,189.0,,,,,,,,,,,,,,,,,,,,,,\n569,StreamAlert,airbnb/streamalert,,others,https://github.com/airbnb/streamalert,https://github.com/airbnb/streamalert,Apache-2.0,2017-01-22 01:10:56.000000,2021-01-13 20:21:16.000000,2020-10-05 21:15:11.000000,281,90.0,247.0,2454,1892.0,\"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data..\",30.0,20,True,2020-10-05 21:50:56.000000,3.4.1,27.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n570,finmarketpy,cuemacro/finmarketpy,,financial-data,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03.000000,2021-01-25 15:04:53.000000,2021-01-25 15:02:09.000000,425,21.0,3.0,2443,655.0,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,14.0,20,True,2021-01-25 15:04:53.000000,0.11.8,9.0,finmarketpy,,,,,3.0,3.0,https://pypi.org/project/finmarketpy,2021-01-25 15:01:25.000000,,76.0,76.0,,,,,,,,3.0,39.0,,,,,,,,,,,,,,,,,,,,,,\n571,NeMo,NVIDIA/NeMo,,nlp,https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000000,2021-01-28 09:32:01.000000,2021-01-26 22:06:19.000000,375,170.0,254.0,2346,,NeMo: a toolkit for conversational AI.,69.0,20,True,2020-07-10 00:01:18.000000,0.11.0,36.0,nemo-toolkit,,,,['pytorch'],4.0,,https://pypi.org/project/nemo-toolkit,2020-12-11 21:33:53.000000,4.0,1255.0,1311.0,,,,,,,,3.0,909.0,,,,,,,,,,,,,,,,,,,,,,\n572,Hummingbird,microsoft/hummingbird,,model-serialisation,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000000,2021-01-25 01:51:10.000000,2021-01-25 01:24:29.000000,156,47.0,132.0,2214,,Hummingbird compiles trained ML models into tensor computation for faster inference.,18.0,20,True,2021-01-04 22:16:04.000000,0.2.1,9.0,hummingbird-ml,,,,,12.0,12.0,https://pypi.org/project/hummingbird-ml,2021-01-04 22:14:22.000000,,783.0,794.0,,,,,,,,3.0,91.0,,,,,,,,,,,,,,,,,,,,,,\n573,Texthero,jbesomi/texthero,,nlp,https://github.com/jbesomi/texthero,https://github.com/jbesomi/texthero,MIT,2020-04-06 15:16:05.000000,2020-12-09 16:49:27.000000,2020-11-03 07:58:36.000000,183,73.0,48.0,2085,267.0,\"Text preprocessing, representation and visualization from zero to hero.\",18.0,20,True,2020-07-06 20:32:28.000000,1.0.9,9.0,texthero,,,,,,,https://pypi.org/project/texthero,2020-07-06 20:29:25.000000,,1958.0,1964.0,,,,,,,,3.0,62.0,,,,,,,,,,,,,,,,,,,,,,\n574,pdftabextract,WZBSocialScienceCenter/pdftabextract,,ocr,https://github.com/WZBSocialScienceCenter/pdftabextract,https://github.com/WZBSocialScienceCenter/pdftabextract,Apache-2.0,2016-07-08 11:44:46.000000,2020-12-28 00:52:23.000000,2018-10-26 13:57:02.000000,329,2.0,18.0,1887,168.0,A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.,2.0,20,False,2018-01-09 08:00:24.000000,0.3.0,5.0,pdftabextract,,,,,36.0,36.0,https://pypi.org/project/pdftabextract,2018-01-09 08:00:24.000000,,296.0,296.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n575,STUMPY,TDAmeritrade/stumpy,,time-series-data,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000000,2021-01-26 14:34:01.000000,2021-01-21 14:10:24.000000,161,27.0,183.0,1645,,\"STUMPY is a powerful and scalable Python library for computing a Matrix Profile, which can be used for a variety of..\",20.0,20,True,2021-01-20 23:33:17.000000,1.7.2,18.0,stumpy,conda-forge/stumpy,,,,0.0,,https://pypi.org/project/stumpy,2021-01-20 22:21:04.000000,0.0,12168.0,12917.0,https://anaconda.org/conda-forge/stumpy,2021-01-20 22:49:36.113000,14983.0,,,,,3.0,,,-2.0,,,,,,,,,,,,,,,,,,,,\n576,AmpliGraph,Accenture/AmpliGraph,,graph,https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05.000000,2020-08-25 17:19:24.000000,2020-08-25 17:00:58.000000,154,18.0,155.0,1420,895.0,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,14.0,20,True,2020-08-25 17:06:46.000000,1.3.2,11.0,ampligraph,,,,['tensorflow'],9.0,9.0,https://pypi.org/project/ampligraph,2020-08-25 16:59:58.000000,,543.0,543.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n577,DELTA,Delta-ML/delta,,nlp,https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57.000000,2021-01-25 17:23:09.788485,2020-12-17 06:57:15.000000,271,9.0,68.0,1376,932.0,DELTA is a deep learning based natural language and speech processing platform.,41.0,20,True,2020-07-16 09:31:45.000000,0.3.3,4.0,delta-nlp,,zh794390558/delta,,['tensorflow'],,,https://pypi.org/project/delta-nlp,2020-03-27 04:46:19.000000,,7.0,596.0,,,,https://hub.docker.com/r/zh794390558/delta,2021-01-25 17:23:09.788485,,11791.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n578,reformer-pytorch,lucidrains/reformer-pytorch,,pytorch-utils,https://github.com/lucidrains/reformer-pytorch,https://github.com/lucidrains/reformer-pytorch,MIT,2020-01-09 20:42:37.000000,2020-12-11 17:49:44.000000,2020-12-11 17:49:36.000000,165,1.0,92.0,1339,236.0,\"Reformer, the efficient Transformer, in Pytorch.\",9.0,20,True,2020-12-06 23:07:32.000000,1.2.4,132.0,reformer-pytorch,,,,['pytorch'],,,https://pypi.org/project/reformer-pytorch,2020-12-06 23:08:09.000000,,808.0,808.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n579,ThunderSVM,Xtra-Computing/thundersvm,,ml-frameworks,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04.000000,2021-01-27 13:53:10.000000,2021-01-27 13:53:03.000000,165,43.0,144.0,1264,898.0,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,33.0,20,True,2020-03-13 12:36:30.000000,0.3.12,9.0,thundersvm,,,,,,,https://pypi.org/project/thundersvm,2020-03-13 12:36:30.000000,,320.0,362.0,,,,,,,,3.0,2124.0,,,,,,,,,,,,,,,,,,,,,,\n580,checklist,marcotcr/checklist,,interpretability,https://github.com/marcotcr/checklist,https://github.com/marcotcr/checklist,MIT,2020-03-09 17:18:49.000000,2020-12-30 23:14:48.000000,2020-12-16 19:26:13.000000,98,3.0,53.0,1206,209.0,Beyond Accuracy: Behavioral Testing of NLP models with CheckList.,7.0,20,True,2020-09-21 18:30:40.000000,0.0.10,9.0,checklist,,,,['jupyter'],7.0,5.0,https://pypi.org/project/checklist,2020-09-21 18:30:40.000000,2.0,288.0,288.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n581,tensorrec,jfkirk/tensorrec,,recommender-systems,https://github.com/jfkirk/tensorrec,https://github.com/jfkirk/tensorrec,Apache-2.0,2017-02-28 18:51:11.000000,2020-07-30 02:47:12.000000,2020-02-04 21:10:25.000000,205,33.0,90.0,1113,334.0,A TensorFlow recommendation algorithm and framework in Python.,8.0,20,True,2019-04-02 00:53:47.000000,0.26.2,30.0,tensorrec,,,,['tensorflow'],25.0,24.0,https://pypi.org/project/tensorrec,2019-04-02 00:53:47.000000,1.0,802.0,802.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n582,Classy Vision,facebookresearch/ClassyVision,,image,https://github.com/facebookresearch/ClassyVision,https://github.com/facebookresearch/ClassyVision,MIT,2019-09-13 22:54:44.000000,2021-01-28 07:20:21.000000,2021-01-28 03:02:28.000000,193,46.0,46.0,1060,324.0,An end-to-end PyTorch framework for image and video classification.,55.0,20,True,2020-11-20 16:42:56.000000,0.5.0,15.0,classy_vision,conda-forge/classy_vision,,,['pytorch'],,,https://pypi.org/project/classy_vision,2020-11-20 21:02:29.000000,,113.0,580.0,https://anaconda.org/conda-forge/classy_vision,2020-12-11 20:08:25.437000,5611.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n583,Torch Points 3D,nicolas-chaulet/torch-points3d,,image,https://github.com/nicolas-chaulet/torch-points3d,https://github.com/nicolas-chaulet/torch-points3d,BSD-3-Clause,2019-12-06 11:33:34.000000,2021-01-24 17:32:05.000000,2021-01-19 10:18:25.000000,153,41.0,155.0,1028,1571.0,Pytorch framework for doing deep learning on point clouds.,20.0,20,True,2020-12-18 10:33:50.000000,1.2.0,13.0,torch-points3d,,,,['pytorch'],2.0,2.0,https://pypi.org/project/torch-points3d,2020-12-18 10:34:16.000000,,202.0,202.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n584,Sockeye,awslabs/sockeye,,nlp,https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30.000000,2021-01-27 16:33:24.000000,2021-01-27 15:59:02.000000,290,21.0,220.0,986,733.0,Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet.,52.0,20,True,2021-01-08 08:11:37.000000,2.3.8,61.0,sockeye,,,,['mxnet'],2.0,,https://pypi.org/project/sockeye,2021-01-08 08:11:37.000000,2.0,452.0,452.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n585,TensorNets,taehoonlee/tensornets,,tensorflow-utils,https://github.com/taehoonlee/tensornets,https://github.com/taehoonlee/tensornets,MIT,2017-09-19 05:19:01.000000,2021-01-02 06:28:10.000000,2021-01-02 06:26:24.000000,184,14.0,42.0,975,284.0,High level network definitions with pre-trained weights in TensorFlow.,6.0,20,True,2020-03-31 04:38:27.000000,0.4.6,12.0,tensornets,,,,['tensorflow'],32.0,30.0,https://pypi.org/project/tensornets,2020-03-31 04:35:15.000000,2.0,214.0,214.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n586,Skater,oracle/Skater,,interpretability,https://github.com/oracle/Skater,https://github.com/oracle/Skater,UPL-1.0,2017-01-26 05:45:42.000000,2020-11-01 15:57:12.273000,2020-06-29 20:07:12.000000,161,68.0,97.0,968,1101.0,Python Library for Model Interpretation/Explanations.,34.0,20,False,2018-09-21 07:03:32.000000,1.1.2,23.0,skater,conda-forge/skater,,,,,,https://pypi.org/project/skater,2018-09-21 07:03:32.000000,,6396.0,7151.0,https://anaconda.org/conda-forge/skater,2020-11-01 15:57:12.273000,32498.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n587,Haiku,deepmind/dm-haiku,,ml-frameworks,https://github.com/deepmind/dm-haiku,https://github.com/deepmind/dm-haiku,Apache-2.0,2020-02-18 07:14:02.000000,2021-01-27 13:36:59.000000,2021-01-27 13:36:05.000000,63,18.0,48.0,921,470.0,JAX-based neural network library.,35.0,20,True,2020-11-24 11:25:05.000000,0.0.3,5.0,,,,,,58.0,58.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n588,fastFM,ibayer/fastFM,,recommender-systems,https://github.com/ibayer/fastFM,https://github.com/ibayer/fastFM,BSD-3-Clause,2014-10-27 12:25:51.000000,2020-03-05 14:57:53.000000,2020-03-05 14:57:52.000000,187,44.0,59.0,893,291.0,fastFM: A Library for Factorization Machines.,19.0,20,True,2017-11-23 06:59:56.000000,0.2.11,10.0,fastfm,,,,,77.0,73.0,https://pypi.org/project/fastfm,2017-11-23 06:59:56.000000,4.0,361.0,366.0,,,,,,,,3.0,374.0,,,,,,,,,,,,,,,,,,,,,,\n589,pyts,johannfaouzi/pyts,,time-series-data,https://github.com/johannfaouzi/pyts,https://github.com/johannfaouzi/pyts,BSD-3-Clause,2017-07-31 09:23:16.000000,2020-09-12 14:41:49.000000,2020-04-30 12:28:12.000000,93,23.0,19.0,862,360.0,A Python package for time series classification.,7.0,20,True,2020-03-21 12:41:33.000000,0.11.0,17.0,pyts,conda-forge/pyts,,,,82.0,80.0,https://pypi.org/project/pyts,2020-03-21 12:36:40.000000,2.0,1903.0,2252.0,https://anaconda.org/conda-forge/pyts,2020-03-21 14:08:24.734000,5935.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n590,attention-ocr,emedvedev/attention-ocr,,ocr,https://github.com/emedvedev/attention-ocr,https://github.com/emedvedev/attention-ocr,MIT,2017-07-21 18:35:19.000000,2020-10-31 19:40:20.000000,2020-10-31 19:40:19.000000,228,16.0,125.0,827,196.0,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,27.0,20,True,2020-10-12 06:56:40.000000,0.7.6,21.0,aocr,,,,['tensorflow'],15.0,15.0,https://pypi.org/project/aocr,2019-04-19 05:28:27.000000,,139.0,139.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n591,tf-explain,sicara/tf-explain,,interpretability,https://github.com/sicara/tf-explain,https://github.com/sicara/tf-explain,MIT,2019-07-15 08:26:24.000000,2021-01-05 16:15:09.000000,2021-01-05 16:15:08.000000,70,34.0,41.0,752,193.0,Interpretability Methods for tf.keras models with Tensorflow 2.x.,12.0,20,True,2020-02-14 09:00:00.000000,0.2.1,6.0,tf-explain,,,,['tensorflow'],61.0,60.0,https://pypi.org/project/tf-explain,2020-02-14 09:04:51.000000,1.0,888.0,888.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n592,mljar-supervised,mljar/mljar-supervised,,hyperopt,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000000,2021-01-27 13:47:40.000000,2021-01-27 13:47:03.000000,97,47.0,228.0,752,756.0,Automates Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning.,7.0,20,True,2021-01-27 13:47:40.000000,0.8.3,58.0,mljar-supervised,,,,,9.0,9.0,https://pypi.org/project/mljar-supervised,2021-01-27 13:47:40.000000,,3187.0,3187.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n593,keras-ocr,faustomorales/keras-ocr,,ocr,https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50.000000,2020-12-11 02:31:17.000000,2020-11-26 17:18:25.000000,172,29.0,96.0,745,161.0,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,9.0,20,True,2020-11-26 17:19:39.000000,0.8.6,26.0,keras-ocr,,,,['tensorflow'],1.0,,https://pypi.org/project/keras-ocr,2020-11-26 17:19:39.000000,1.0,1350.0,5266.0,,,,,,,,3.0,15667.0,,,,,,,,,,,,,,,,,,,,,,\n594,rows,turicas/rows,,data-loading,https://github.com/turicas/rows,https://github.com/turicas/rows,LGPL-3.0,2014-05-07 05:43:11.000000,2021-01-21 08:25:19.000000,2021-01-21 08:24:59.000000,130,138.0,149.0,734,738.0,\"A common, beautiful interface to tabular data, no matter the format.\",30.0,20,False,2019-02-14 21:20:15.000000,0.4.1,9.0,rows,,,,,137.0,116.0,https://pypi.org/project/rows,2019-02-14 21:12:03.000000,21.0,707.0,707.0,,,,,,,,3.0,37.0,,,,,,,,,,,,,,,,,,,,,,\n595,FairScale,facebookresearch/fairscale,,distributed-ml,https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000000,2021-01-28 08:01:30.000000,2021-01-28 01:20:37.000000,48,30.0,59.0,728,223.0,PyTorch extensions for high performance and large scale training.,20.0,20,True,2021-01-07 18:59:10.000000,0.1.4,8.0,fairscale,,,,['pytorch'],3.0,3.0,https://pypi.org/project/fairscale,2021-01-07 18:16:47.000000,,1921.0,1921.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n596,RecBole,RUCAIBox/RecBole,,recommender-systems,https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000000,2021-01-24 22:15:41.000000,2021-01-18 11:18:38.000000,100,24.0,55.0,722,2642.0,\"A unified, comprehensive and efficient recommendation library.\",27.0,20,True,2021-01-14 05:21:22.000000,0.2.0,4.0,recbole,aibox/recbole,,,['pytorch'],,,https://pypi.org/project/recbole,2021-01-14 05:21:22.000000,,98.0,193.0,https://anaconda.org/aibox/recbole,2021-01-14 06:11:03.469000,190.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n597,YouTokenToMe,vkcom/youtokentome,,nlp,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28.000000,2021-01-28 08:54:04.000000,2020-02-13 09:49:37.000000,42,21.0,20.0,708,76.0,Unsupervised text tokenizer focused on computational efficiency.,6.0,20,True,2020-02-13 09:57:47.000000,1.0.6,14.0,youtokentome,,,,,102.0,96.0,https://pypi.org/project/youtokentome,2020-02-12 18:24:46.000000,6.0,4231.0,4231.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n598,Madmom,CPJKU/madmom,,audio,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06.000000,2020-04-14 03:42:18.000000,2019-12-19 14:46:37.000000,120,54.0,177.0,708,1722.0,Python audio and music signal processing library.,19.0,20,False,2018-11-14 14:57:41.000000,0.16.1,11.0,madmom,,,,,150.0,116.0,https://pypi.org/project/madmom,2018-11-14 14:56:22.000000,34.0,958.0,958.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n599,mlens,flennerhag/mlens,,others,https://github.com/flennerhag/mlens,https://github.com/flennerhag/mlens,MIT,2017-01-10 20:53:47.000000,2020-02-25 14:32:48.000000,2020-02-25 14:31:53.000000,82,8.0,73.0,672,879.0,ML-Ensemble high performance ensemble learning.,7.0,20,True,2018-10-30 22:34:35.000000,0.2.3,14.0,mlens,,,,,103.0,103.0,https://pypi.org/project/mlens,2018-10-30 22:30:43.000000,,3128.0,3128.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n600,NeuPy,itdxer/neupy,,ml-frameworks,https://github.com/itdxer/neupy,https://github.com/itdxer/neupy,MIT,2015-08-24 19:45:11.000000,2020-01-15 08:04:33.000000,2019-09-02 19:02:38.000000,143,26.0,229.0,662,1145.0,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,6.0,20,False,2019-04-04 19:44:59.000000,0.8.2,34.0,neupy,,,,,111.0,101.0,https://pypi.org/project/neupy,2019-04-04 19:43:06.000000,10.0,615.0,615.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n601,NearPy,pixelogik/NearPy,,nn-search,https://github.com/pixelogik/NearPy,https://github.com/pixelogik/NearPy,MIT,2013-04-25 09:10:26.000000,2020-02-17 20:24:08.000000,2018-10-21 17:54:28.000000,135,22.0,38.0,658,159.0,\"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..\",18.0,20,False,2016-09-27 13:04:44.000000,1.0.0,8.0,NearPy,,,,,64.0,49.0,https://pypi.org/project/NearPy,2016-09-27 13:03:12.000000,15.0,1239.0,1239.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n602,Test Tube,williamFalcon/test-tube,,hyperopt,https://github.com/williamFalcon/test-tube,https://github.com/williamFalcon/test-tube,MIT,2017-09-06 02:14:57.000000,2021-01-17 20:04:39.000000,2020-03-17 22:44:47.000000,59,23.0,21.0,652,642.0,Python library to easily log experiments and parallelize hyperparameter search for neural networks.,16.0,20,True,2019-12-01 00:47:35.000000,0.7.4,53.0,test_tube,,,,,5.0,,https://pypi.org/project/test_tube,2018-12-12 22:45:59.000000,5.0,10626.0,10626.0,,,,,,,,3.0,8.0,,,,,,,,,,,,,,,,,,,,,,\n603,torch-scatter,rusty1s/pytorch_scatter,,pytorch-utils,https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23.000000,2021-01-19 11:47:27.000000,2021-01-19 11:47:21.000000,73,57.0,110.0,585,810.0,PyTorch Extension Library of Optimized Scatter Operations.,14.0,20,True,2020-06-24 09:29:12.000000,2.0.5,24.0,torch-scatter,,,,['pytorch'],16.0,,https://pypi.org/project/torch-scatter,2020-02-22 16:51:10.000000,16.0,4020.0,4020.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n604,pdpipe,pdpipe/pdpipe,,data-pipelines,https://github.com/pdpipe/pdpipe,https://github.com/pdpipe/pdpipe,MIT,2017-01-24 20:37:22.000000,2021-01-19 11:34:24.000000,2021-01-19 11:34:15.000000,29,6.0,14.0,575,341.0,Easy pipelines for pandas DataFrames.,8.0,20,True,2020-11-09 09:32:37.000000,0.0.53,49.0,pdpipe,,,,['pandas'],23.0,23.0,https://pypi.org/project/pdpipe,2020-11-09 09:32:37.000000,,681.0,681.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n605,Mapbox GL,mapbox/mapboxgl-jupyter,,geospatial-data,https://github.com/mapbox/mapboxgl-jupyter,https://github.com/mapbox/mapboxgl-jupyter,MIT,2017-08-08 15:10:51.000000,2019-12-13 22:49:07.000000,2019-12-03 21:57:25.000000,119,34.0,67.0,553,220.0,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,20.0,20,False,2019-06-03 21:24:10.000000,0.10.2,20.0,mapboxgl,,,,['jupyter'],107.0,89.0,https://pypi.org/project/mapboxgl,2019-06-02 15:18:57.000000,18.0,4107.0,4107.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n606,alibi-detect,SeldonIO/alibi-detect,,others,https://github.com/SeldonIO/alibi-detect,https://github.com/SeldonIO/alibi-detect,Apache-2.0,2019-10-07 13:29:13.000000,2021-01-22 18:56:36.000000,2021-01-22 18:56:35.000000,54,31.0,41.0,548,308.0,\"Algorithms for outlier and adversarial instance detection, concept drift and metrics.\",7.0,20,True,2020-12-23 10:49:47.000000,0.4.4,9.0,alibi-detect,,,,,19.0,18.0,https://pypi.org/project/alibi-detect,2020-10-08 09:57:19.000000,1.0,910.0,910.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n607,bambi,bambinos/bambi,,probabilistics,https://github.com/bambinos/bambi,https://github.com/bambinos/bambi,MIT,2016-05-16 03:21:00.000000,2021-01-26 15:25:04.000000,2021-01-26 15:25:03.000000,50,26.0,128.0,541,523.0,BAyesian Model-Building Interface (Bambi) in Python.,15.0,20,True,2020-12-17 01:23:21.000000,0.3.0,10.0,bambi,,,,,12.0,9.0,https://pypi.org/project/bambi,2020-12-17 01:23:21.000000,3.0,192.0,192.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n608,deeplift,kundajelab/deeplift,,interpretability,https://github.com/kundajelab/deeplift,https://github.com/kundajelab/deeplift,MIT,2016-06-01 02:18:06.000000,2020-11-11 19:56:24.000000,2020-11-11 19:56:23.000000,118,29.0,46.0,496,551.0,Public facing deeplift repo.,11.0,20,True,2018-07-13 21:11:52.000000,0.6.6,21.0,deeplift,,,,,45.0,43.0,https://pypi.org/project/deeplift,2020-11-11 09:32:57.000000,2.0,487.0,487.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n609,Labml,lab-ml/labml,,ml-experiments,https://github.com/lab-ml/labml,https://github.com/lab-ml/labml,MIT,2018-11-16 09:34:48.000000,2021-01-28 02:30:37.000000,2021-01-28 02:30:02.000000,35,,6.0,372,903.0,Monitor PyTorch & TensorFlow model training from your mobile phone.,6.0,20,True,2021-01-25 12:02:21.000000,0.4.99,76.0,labml,,,,,20.0,20.0,https://pypi.org/project/labml,2021-01-28 02:30:37.000000,0.0,550.0,550.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n610,pydlm,wwrechard/pydlm,,time-series-data,https://github.com/wwrechard/pydlm,https://github.com/wwrechard/pydlm,BSD-3-Clause,2016-06-29 07:58:53.000000,2020-07-26 21:00:50.000000,2019-10-22 07:18:40.000000,80,33.0,7.0,352,362.0,A python library for Bayesian time series modeling.,6.0,20,False,2016-11-06 01:43:35.000000,0.1.1,13.0,pydlm,,,,,16.0,16.0,https://pypi.org/project/pydlm,2018-12-19 10:27:54.000000,,13254.0,13254.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n611,skope-rules,scikit-learn-contrib/skope-rules,,sklearn-utils,https://github.com/scikit-learn-contrib/skope-rules,https://github.com/scikit-learn-contrib/skope-rules,BSD-1-Clause,2018-02-18 13:42:47.000000,2020-12-11 14:42:41.000000,2020-10-23 14:31:57.000000,58,23.0,4.0,351,247.0,machine learning with logical rules in Python.,18.0,20,False,2020-12-11 09:37:02.000000,1.0.1,4.0,skope-rules,,,,['sklearn'],28.0,25.0,https://pypi.org/project/skope-rules,2020-01-25 12:01:37.000000,3.0,6233.0,6233.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n612,MedPy,loli/medpy,,medical-data,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34.000000,2020-05-01 15:25:39.000000,2020-05-01 15:25:38.000000,104,8.0,65.0,313,324.0,Medical image processing in Python.,13.0,20,False,2019-02-14 17:12:59.000000,0.4.0,6.0,MedPy,,,,,226.0,219.0,https://pypi.org/project/MedPy,2019-02-14 17:12:59.000000,7.0,2156.0,2156.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n613,Submit it,facebookincubator/submitit,,distributed-ml,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09.000000,2021-01-28 14:21:31.000000,2021-01-27 16:07:41.000000,19,10.0,16.0,300,48.0,Python 3.6+ toolbox for submitting jobs to Slurm.,9.0,20,True,2020-11-19 12:53:49.000000,1.1.5,8.0,submitit,conda-forge/submitit,,,,77.0,77.0,https://pypi.org/project/submitit,2020-12-01 08:14:16.000000,0.0,1967.0,2136.0,https://anaconda.org/conda-forge/submitit,2020-11-19 14:06:58.416000,845.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n614,sklearn-evaluation,edublancas/sklearn-evaluation,,interpretability,https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2015-09-04 16:33:42.000000,2020-12-28 15:14:00.000000,2020-12-28 15:10:09.000000,25,8.0,27.0,286,504.0,\"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook..\",5.0,20,True,2020-12-28 15:14:25.000000,0.5.4,16.0,sklearn-evaluation,,,,['sklearn'],28.0,26.0,https://pypi.org/project/sklearn-evaluation,2020-12-28 15:13:44.000000,2.0,209.0,209.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n615,rrcf,kLabUM/rrcf,,others,https://github.com/kLabUM/rrcf,https://github.com/kLabUM/rrcf,MIT,2018-10-20 05:39:05.000000,2021-01-13 23:05:23.000000,2020-06-10 01:07:39.000000,66,16.0,17.0,278,253.0,Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams.,4.0,20,True,2020-06-10 01:53:55.000000,0.4.3,7.0,rrcf,,,,,18.0,18.0,https://pypi.org/project/rrcf,2020-06-10 01:53:55.000000,,1983.0,1983.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n616,impyute,eltonlaw/impyute,,others,https://github.com/eltonlaw/impyute,https://github.com/eltonlaw/impyute,MIT,2017-01-21 09:16:27.000000,2020-06-12 21:08:40.000000,2019-10-05 20:39:08.000000,41,26.0,36.0,265,289.0,Data imputations library to preprocess datasets with missing data.,9.0,20,False,2019-04-29 02:31:32.000000,0.0.8,8.0,impyute,,,,,76.0,75.0,https://pypi.org/project/impyute,2019-04-29 02:31:32.000000,1.0,1514.0,1514.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n617,StaticFrame,InvestmentSystems/static-frame,,data-containers,https://github.com/InvestmentSystems/static-frame,https://github.com/InvestmentSystems/static-frame,MIT,2018-01-03 15:07:52.000000,2021-01-28 06:39:57.000000,2021-01-28 06:37:43.000000,20,33.0,243.0,208,2283.0,\"The StaticFrame library defines the Series and Frame, immutable data structures for one- and two-dimensional..\",15.0,20,True,2021-01-25 19:10:27.000000,0.7.14,97.0,static-frame,conda-forge/static-frame,,,,6.0,6.0,https://pypi.org/project/static-frame,2021-01-25 19:04:52.000000,,920.0,3574.0,https://anaconda.org/conda-forge/static-frame,2021-01-26 03:55:42.344000,61056.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n618,fletcher,xhochy/fletcher,,data-containers,https://github.com/xhochy/fletcher,https://github.com/xhochy/fletcher,MIT,2018-03-04 16:44:22.000000,2021-01-26 12:15:07.000000,2021-01-26 12:15:05.000000,32,33.0,40.0,207,518.0,Pandas ExtensionDType/Array backed by Apache Arrow.,23.0,20,True,2021-01-17 20:04:41.000000,0.7.2,15.0,fletcher,conda-forge/fletcher,,,['pandas'],3.0,3.0,https://pypi.org/project/fletcher,2020-12-29 12:02:47.000000,0.0,240.0,859.0,https://anaconda.org/conda-forge/fletcher,2021-01-17 21:23:17.140000,18565.0,,,,,3.0,12.0,,,,,,,,,,,,,,,,,,,,,,\n619,Auto ViML,AutoViML/Auto_ViML,,hyperopt,https://github.com/AutoViML/Auto_ViML,https://github.com/AutoViML/Auto_ViML,Apache-2.0,2019-06-10 13:09:15.000000,2021-01-15 14:52:54.000000,2021-01-15 14:48:07.000000,52,3.0,13.0,200,284.0,Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome...,6.0,20,True,2021-01-04 21:54:14.000000,0.1.677,126.0,autoviml,,,,,13.0,13.0,https://pypi.org/project/autoviml,2021-01-15 14:52:54.000000,,204.0,204.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n620,stop-words,Alir3z4/python-stop-words,,nlp,https://github.com/Alir3z4/python-stop-words,https://github.com/Alir3z4/python-stop-words,BSD-3-Clause,2014-05-26 06:44:03.000000,2019-10-16 15:01:43.000000,2018-07-23 21:04:09.000000,20,3.0,9.0,121,90.0,Get list of common stop words in various languages in Python.,8.0,20,False,2018-07-23 20:58:34.000000,2018.7.23,8.0,stop-words,,,,,1281.0,1077.0,https://pypi.org/project/stop-words,2018-07-23 20:55:55.000000,204.0,35148.0,35148.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n621,graph-nets,deepmind/graph_nets,,graph,https://github.com/deepmind/graph_nets,https://github.com/deepmind/graph_nets,Apache-2.0,2018-08-31 08:19:28.000000,2020-12-04 17:43:48.000000,2020-12-04 17:43:47.000000,716,9.0,103.0,4767,47.0,Build Graph Nets in Tensorflow.,10.0,19,True,2020-01-29 16:00:25.000000,1.1.0,7.0,graph-nets,,,,['tensorflow'],7.0,,https://pypi.org/project/graph-nets,2020-01-29 16:00:25.000000,7.0,603.0,603.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n622,Qlib,microsoft/qlib,,financial-data,https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000000,2021-01-28 14:30:31.000000,2021-01-27 11:52:33.000000,581,64.0,55.0,3804,,\"Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research,..\",27.0,19,True,2020-12-12 09:59:16.000000,0.6.1,15.0,pyqlib,,,,['pytorch'],,,https://pypi.org/project/pyqlib,2020-12-12 09:59:16.000000,,1781.0,1831.0,,,,,,,,3.0,201.0,,,,,,,,,,,,,,,,,,,,,,\n623,AdaBound,Luolc/AdaBound,,pytorch-utils,https://github.com/Luolc/AdaBound,https://github.com/Luolc/AdaBound,Apache-2.0,2019-02-15 18:05:20.000000,2019-03-06 17:01:52.000000,2019-03-06 17:01:45.000000,317,16.0,7.0,2826,27.0,An optimizer that trains as fast as Adam and as good as SGD.,2.0,19,False,2019-03-06 16:44:42.000000,0.0.5,4.0,adabound,,,,['pytorch'],104.0,98.0,https://pypi.org/project/adabound,2019-02-26 04:23:45.000000,6.0,803.0,803.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n624,BytePS,bytedance/byteps,,distributed-ml,https://github.com/bytedance/byteps,https://github.com/bytedance/byteps,Apache-2.0,2019-06-25 07:00:13.000000,2021-01-28 06:20:13.000000,2021-01-18 09:02:53.000000,364,73.0,140.0,2674,411.0,A high performance and generic framework for distributed DNN training.,16.0,19,True,2020-08-27 15:42:13.000000,0.2.4,7.0,byteps,,bytepsimage/tensorflow,,,,,https://pypi.org/project/byteps,2020-11-04 00:05:46.000000,,54.0,106.0,,,,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,993.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n625,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,,graph,https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16.000000,2021-01-19 22:30:41.000000,2021-01-19 22:30:34.000000,358,31.0,99.0,2666,142.0,Generate embeddings from large-scale graph-structured data.,19.0,19,True,2019-10-14 16:45:11.000000,1.0.0,3.0,torchbiggraph,,,,['pytorch'],4.0,,https://pypi.org/project/torchbiggraph,2019-05-01 21:31:13.000000,4.0,262.0,267.0,,,,,,,,3.0,110.0,,,,,,,,,,,,,,,,,,,,,,\n626,tf-quant-finance,google/tf-quant-finance,,financial-data,https://github.com/google/tf-quant-finance,https://github.com/google/tf-quant-finance,Apache-2.0,2019-07-24 16:09:50.000000,2021-01-26 20:48:55.000000,2021-01-26 20:48:48.000000,298,11.0,12.0,2413,622.0,High-performance TensorFlow library for quantitative finance.,30.0,19,True,,,20.0,tf-quant-finance,,,,['tensorflow'],4.0,4.0,https://pypi.org/project/tf-quant-finance,2020-09-18 21:02:09.000000,,114.0,114.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n627,Apache Singa,apache/singa,,distributed-ml,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000000,2021-01-28 03:00:58.000000,2021-01-15 13:09:22.000000,571,49.0,32.0,2167,2265.0,a distributed deep learning platform.,70.0,19,True,2020-04-21 08:01:08.000000,3.0.0,14.0,,nusdbsystem/singa,apache/singa,,,,,,,,,7.0,https://anaconda.org/nusdbsystem/singa,2021-01-20 03:00:28.355000,254.0,https://hub.docker.com/r/apache/singa,2019-06-04 04:32:52.195956,2.0,165.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n628,Kashgari,BrikerMan/Kashgari,,nlp,https://github.com/BrikerMan/Kashgari,https://github.com/BrikerMan/Kashgari,Apache-2.0,2019-01-19 01:53:28.000000,2020-12-09 02:13:33.000000,2020-10-29 08:08:00.000000,377,32.0,302.0,2017,,Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-..,19.0,19,True,2020-10-30 12:37:01.000000,2.0.1,23.0,kashgari-tf,,,,['tensorflow'],20.0,19.0,https://pypi.org/project/kashgari-tf,2019-06-26 12:27:50.000000,1.0,90.0,90.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n629,HiPlot,facebookresearch/hiplot,,data-viz,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41.000000,2021-01-11 09:04:54.000000,2021-01-11 08:56:16.000000,89,7.0,41.0,1950,110.0,HiPlot makes understanding high dimensional data easy.,6.0,19,True,2020-11-30 11:40:56.000000,0.1.22,33.0,hiplot,conda-forge/hiplot,,,,2.0,2.0,https://pypi.org/project/hiplot,2020-12-23 15:11:20.000000,0.0,1636.0,5425.0,https://anaconda.org/conda-forge/hiplot,2020-12-23 17:16:15.884000,41685.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n630,cuML,rapidsai/cuml,,gpu-utilities,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000000,2021-01-28 14:24:16.000000,2021-01-28 04:14:09.000000,300,629.0,933.0,1907,,cuML - RAPIDS Machine Learning Library.,121.0,19,True,2020-12-10 21:50:49.000000,0.17.0,5.0,cuml,,,,,,,https://pypi.org/project/cuml,2019-04-11 16:57:48.000000,,258.0,258.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n631,Coach,IntelLabs/coach,,reinforcement-learning,https://github.com/IntelLabs/coach,https://github.com/IntelLabs/coach,Apache-2.0,2017-10-01 19:27:43.000000,2020-12-21 12:46:30.000000,2020-12-15 08:02:16.000000,374,80.0,181.0,1906,512.0,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,34.0,19,True,2019-10-10 14:17:10.000000,1.0.1,13.0,rl_coach,,,,,1.0,,https://pypi.org/project/rl_coach,2019-10-10 14:17:10.000000,1.0,106.0,106.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n632,hiddenlayer,waleedka/hiddenlayer,,ml-experiments,https://github.com/waleedka/hiddenlayer,https://github.com/waleedka/hiddenlayer,MIT,2018-05-18 22:34:51.000000,2020-04-24 07:32:11.000000,2020-04-24 06:58:09.000000,195,43.0,32.0,1368,58.0,\"Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.\",6.0,19,True,2018-12-03 04:33:29.000000,0.2,3.0,hiddenlayer,,,,\"['pytorch', 'tensorflow', 'jupyter']\",58.0,54.0,https://pypi.org/project/hiddenlayer,2020-04-24 07:32:11.000000,4.0,1019.0,1019.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n633,DLTK,DLTK/DLTK,,medical-data,https://github.com/DLTK/DLTK,https://github.com/DLTK/DLTK,Apache-2.0,2017-05-02 15:40:36.000000,2021-01-15 01:31:30.000000,2019-01-21 14:01:28.000000,380,7.0,24.0,1238,379.0,Deep Learning Toolkit for Medical Image Analysis.,9.0,19,False,,,5.0,dltk,,,,['tensorflow'],18.0,18.0,https://pypi.org/project/dltk,2018-02-26 17:43:57.000000,,58.0,58.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n634,doc2text,jlsutherland/doc2text,,ocr,https://github.com/jlsutherland/doc2text,https://github.com/jlsutherland/doc2text,MIT,2016-08-28 19:30:02.000000,2020-12-01 22:56:27.000000,2020-12-01 22:56:26.000000,92,12.0,9.0,1227,62.0,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,5.0,19,True,2016-09-06 21:59:21.000000,0.2.4,5.0,doc2text,,,,,32.0,32.0,https://pypi.org/project/doc2text,2016-09-06 21:59:21.000000,,199.0,199.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n635,Sweetviz,fbdesignpro/sweetviz,,data-viz,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47.000000,2020-12-10 14:32:35.000000,2020-12-10 14:30:47.000000,134,21.0,43.0,1204,77.0,\"Visualize and compare datasets, target values and associations, with one line of code.\",6.0,19,True,2020-12-10 14:32:35.000000,2.0.4,22.0,sweetviz,,,,,,,https://pypi.org/project/sweetviz,2020-12-10 14:32:35.000000,,6300.0,6300.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n636,TaskTiger,closeio/tasktiger,,data-pipelines,https://github.com/closeio/tasktiger,https://github.com/closeio/tasktiger,MIT,2015-05-14 00:26:32.000000,2021-01-14 19:17:24.000000,2020-12-17 16:07:11.000000,58,30.0,31.0,1040,250.0,Python task queue using Redis.,19.0,19,True,2019-10-29 19:32:58.000000,0.10.1,22.0,tasktiger,,,,,28.0,19.0,https://pypi.org/project/tasktiger,2020-06-18 22:08:56.000000,9.0,275.0,275.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n637,Higher,facebookresearch/higher,,pytorch-utils,https://github.com/facebookresearch/higher,https://github.com/facebookresearch/higher,Apache-2.0,2019-09-06 18:58:36.000000,2020-11-23 06:15:24.000000,2020-10-28 16:53:07.000000,73,24.0,47.0,1030,28.0,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,6.0,19,True,2020-07-14 12:20:32.000000,0.2.1,2.0,higher,,,,['pytorch'],29.0,29.0,https://pypi.org/project/higher,2020-07-14 12:20:32.000000,,1111.0,1111.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n638,CausalNex,quantumblacklabs/causalnex,,interpretability,https://github.com/quantumblacklabs/causalnex,https://github.com/quantumblacklabs/causalnex,Apache-2.0,2019-12-12 15:26:09.000000,2021-01-06 22:35:58.000000,2021-01-06 22:35:57.000000,101,34.0,26.0,950,93.0,A Python library that helps data scientists to infer causation rather than observing correlation.,16.0,19,True,2021-01-06 22:07:04.000000,0.9.1,12.0,causalnex,,,,\"['pytorch', 'sklearn']\",7.0,7.0,https://pypi.org/project/causalnex,2020-12-07 16:16:39.000000,,6424.0,6424.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,True\n639,gplearn,trevorstephens/gplearn,,others,https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14.000000,2020-02-15 08:12:38.000000,2020-02-15 08:12:17.000000,151,31.0,114.0,903,146.0,\"Genetic Programming in Python, with a scikit-learn inspired API.\",10.0,19,True,2019-06-01 02:04:52.000000,0.4.1,5.0,gplearn,,,,['sklearn'],138.0,131.0,https://pypi.org/project/gplearn,2019-06-01 02:04:52.000000,7.0,782.0,782.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n640,geoplotlib,andrea-cuttone/geoplotlib,,geospatial-data,https://github.com/andrea-cuttone/geoplotlib,https://github.com/andrea-cuttone/geoplotlib,MIT,2015-02-24 13:13:07.000000,2020-04-10 20:00:31.000000,2019-05-06 07:06:50.000000,144,23.0,18.0,893,159.0,python toolbox for visualizing geographical data and making maps.,8.0,19,False,2016-07-27 14:55:01.000000,0.3.2,4.0,geoplotlib,,,,,97.0,88.0,https://pypi.org/project/geoplotlib,2016-07-27 14:55:01.000000,9.0,745.0,745.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n641,Paddle Graph Learning,PaddlePaddle/PGL,,graph,https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28.000000,2021-01-28 11:54:41.000000,2020-12-14 07:02:53.000000,117,15.0,28.0,884,349.0,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,17.0,19,True,2020-12-18 16:59:53.000000,2.0.0a,6.0,pgl,,,,['paddle'],11.0,9.0,https://pypi.org/project/pgl,2020-11-20 06:23:47.000000,2.0,309.0,309.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n642,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,,pytorch-utils,https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000000,2021-01-27 21:35:09.000000,2021-01-27 21:35:03.000000,71,3.0,14.0,882,610.0,PyTorch extensions for fast R&D prototyping and Kaggle farming.,5.0,19,True,2021-01-14 10:42:46.000000,0.4.1,19.0,pytorch_toolbelt,,,,['pytorch'],1.0,,https://pypi.org/project/pytorch_toolbelt,2021-01-14 10:42:46.000000,1.0,7253.0,7253.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n643,mrq,pricingassistant/mrq,,data-pipelines,https://github.com/pricingassistant/mrq,https://github.com/pricingassistant/mrq,MIT,2014-02-13 09:32:40.000000,2021-01-07 22:22:25.000000,2020-12-13 18:58:15.000000,113,58.0,119.0,832,709.0,Mr. Queue - A distributed worker task queue in Python using Redis & gevent.,37.0,19,True,2018-08-31 16:03:04.000000,0.9.10,70.0,mrq,,,,,35.0,23.0,https://pypi.org/project/mrq,2018-08-31 16:03:04.000000,12.0,140.0,140.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n644,calamari,Calamari-OCR/calamari,,ocr,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,Apache-2.0,2018-03-20 15:22:29.000000,2021-01-27 19:02:27.000000,2021-01-23 15:36:59.000000,164,21.0,137.0,772,318.0,Line based ATR Engine based on OCRopy.,17.0,19,True,2021-01-19 17:04:33.000000,2.0.0,23.0,calamari_ocr,,,,,2.0,,https://pypi.org/project/calamari_ocr,2018-11-13 11:24:45.000000,2.0,348.0,348.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n645,TensorFrames,databricks/tensorframes,,distributed-ml,https://github.com/databricks/tensorframes,https://github.com/databricks/tensorframes,Apache-2.0,2016-03-04 19:25:19.000000,2020-11-13 17:47:02.000000,2019-11-15 21:43:53.000000,159,51.0,43.0,768,221.0,[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark.,16.0,19,False,2018-11-16 20:50:02.000000,0.6.0,6.0,tensorframes,,,,\"['tensorflow', 'spark']\",,,https://pypi.org/project/tensorframes,2018-05-16 14:20:28.000000,,3180.0,3180.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n646,TabNet,dreamquark-ai/tabnet,,pytorch-utils,https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000000,2021-01-28 11:37:15.000000,2021-01-28 10:24:21.000000,144,31.0,98.0,765,164.0,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,17.0,19,True,2021-01-12 18:18:02.000000,3.1.0,16.0,pytorch-tabnet,,,,['pytorch'],,,https://pypi.org/project/pytorch-tabnet,2021-01-12 18:18:02.000000,,2052.0,2052.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n647,tffm,geffy/tffm,,tensorflow-utils,https://github.com/geffy/tffm,https://github.com/geffy/tffm,MIT,2016-05-02 17:06:07.000000,2020-05-22 21:40:58.000000,2020-05-22 21:40:57.000000,174,17.0,20.0,755,106.0,TensorFlow implementation of an arbitrary order Factorization Machine.,10.0,19,True,2018-01-27 11:43:26.000000,1.0.1,2.0,tffm,,,,['tensorflow'],11.0,10.0,https://pypi.org/project/tffm,2018-01-27 11:43:26.000000,1.0,1194.0,1194.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n648,TF Recommenders,tensorflow/recommenders,,recommender-systems,https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01.000000,2021-01-21 20:28:19.000000,2021-01-21 20:27:28.000000,73,34.0,50.0,699,,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,17.0,19,True,2021-01-21 00:51:17.000000,0.4.0,8.0,tensorflow-recommenders,,,,['tensorflow'],11.0,11.0,https://pypi.org/project/tensorflow-recommenders,2021-01-21 00:51:17.000000,,2723.0,2723.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n649,pytorch-forecasting,jdb78/pytorch-forecasting,,time-series-data,https://github.com/jdb78/pytorch-forecasting,https://github.com/jdb78/pytorch-forecasting,MIT,2020-07-03 13:05:24.000000,2021-01-27 10:01:40.000000,2021-01-27 07:25:47.000000,78,29.0,83.0,684,628.0,Time series forecasting with PyTorch.,11.0,19,True,2021-01-12 21:10:06.000000,0.8.2,23.0,pytorch-forecasting,,,,,,,https://pypi.org/project/pytorch-forecasting,2021-01-12 21:10:06.000000,,2509.0,2509.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n650,finetune,IndicoDataSolutions/finetune,,nlp,https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16.000000,2021-01-25 15:10:47.000000,2021-01-06 19:43:32.000000,67,18.0,115.0,630,1201.0,Scikit-learn style model finetuning for NLP.,18.0,19,True,2019-11-07 19:42:32.000000,0.8.6,37.0,finetune,,,,\"['tensorflow', 'sklearn']\",11.0,9.0,https://pypi.org/project/finetune,2020-01-10 22:42:24.000000,2.0,102.0,102.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n651,NGT,yahoojapan/NGT,,nn-search,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000000,2021-01-27 05:16:30.000000,2021-01-27 05:14:47.000000,69,7.0,69.0,610,119.0,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,10.0,19,True,2021-01-12 23:33:02.000000,1.12.3,46.0,ngt,,,,,3.0,,https://pypi.org/project/ngt,2020-09-23 06:52:45.000000,3.0,2479.0,2479.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n652,TensorBoard Logger,TeamHG-Memex/tensorboard_logger,,ml-experiments,https://github.com/TeamHG-Memex/tensorboard_logger,https://github.com/TeamHG-Memex/tensorboard_logger,MIT,2016-10-27 14:02:25.000000,2020-10-27 20:51:06.000000,2019-10-21 07:52:07.000000,52,9.0,15.0,608,46.0,Log TensorBoard events without touching TensorFlow.,5.0,19,False,2018-02-08 07:28:51.000000,0.1.0,5.0,tensorboard_logger,,,,,42.0,,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51.000000,42.0,58843.0,58843.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n653,matrixprofile-ts,target/matrixprofile-ts,,time-series-data,https://github.com/target/matrixprofile-ts,https://github.com/target/matrixprofile-ts,Apache-2.0,2018-09-10 19:03:34.000000,2020-04-25 18:38:20.000000,2020-04-25 18:37:42.000000,90,18.0,34.0,605,198.0,A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile.,15.0,19,True,2019-08-08 01:24:38.000000,0.0.9,9.0,matrixprofile-ts,,,,,12.0,12.0,https://pypi.org/project/matrixprofile-ts,2019-08-08 01:24:38.000000,,2477.0,2477.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n654,baikal,alegonz/baikal,,others,https://github.com/alegonz/baikal,https://github.com/alegonz/baikal,BSD-3-Clause,2019-01-21 12:59:02.000000,2021-01-18 14:25:44.000000,2021-01-18 14:25:42.000000,29,4.0,11.0,570,394.0,A graph-based functional API for building complex scikit-learn pipelines.,2.0,19,True,2020-05-17 12:40:17.000000,0.4.2,7.0,baikal,conda-forge/cython-blis,,,,3.0,3.0,https://pypi.org/project/baikal,2020-11-15 13:40:18.000000,,20.0,17876.0,https://anaconda.org/conda-forge/cython-blis,2020-12-07 11:23:01.451000,392853.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n655,PFRL,pfnet/pfrl,,reinforcement-learning,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50.000000,2021-01-28 05:01:37.000000,2021-01-28 05:01:36.000000,61,22.0,22.0,502,328.0,PFRL: a PyTorch-based deep reinforcement learning library.,11.0,19,True,2020-12-17 04:57:58.000000,0.2.1,4.0,pfrl,,,,,4.0,4.0,https://pypi.org/project/pfrl,2020-12-17 05:00:25.000000,,343.0,343.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n656,iterative-stratification,trent-b/iterative-stratification,,sklearn-utils,https://github.com/trent-b/iterative-stratification,https://github.com/trent-b/iterative-stratification,BSD-3-Clause,2018-02-04 00:32:10.000000,2020-09-12 15:32:44.000000,2020-09-12 15:35:02.000000,44,1.0,10.0,494,47.0,scikit-learn cross validators for iterative stratification of multilabel data.,4.0,19,True,2018-08-12 18:12:43.000000,0.1.6,5.0,iterative-stratification,,,,['sklearn'],102.0,102.0,https://pypi.org/project/iterative-stratification,2018-08-12 18:28:50.000000,,2955.0,2955.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n657,lets-plot,JetBrains/lets-plot,,data-viz,https://github.com/JetBrains/lets-plot,https://github.com/JetBrains/lets-plot,MIT,2019-03-20 16:13:03.000000,2021-01-28 11:20:02.000000,2021-01-28 11:06:39.000000,15,48.0,71.0,483,1752.0,An open-source plotting library for statistical data.,14.0,19,True,2020-12-23 21:48:58.000000,1.5.6,26.0,lets-plot,,,,,,,https://pypi.org/project/lets-plot,2020-12-23 21:38:29.000000,,3884.0,3884.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n658,N2,kakao/n2,,nn-search,https://github.com/kakao/n2,https://github.com/kakao/n2,Apache-2.0,2017-11-23 02:27:59.000000,2020-10-21 05:15:27.000000,2020-10-21 05:14:11.000000,52,17.0,22.0,451,242.0,TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets.,17.0,19,True,2020-10-16 03:43:47.000000,0.1.7,8.0,n2,,,,,14.0,12.0,https://pypi.org/project/n2,2020-10-16 02:48:11.000000,2.0,293.0,293.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n659,HpBandSter,automl/HpBandSter,,hyperopt,https://github.com/automl/HpBandSter,https://github.com/automl/HpBandSter,BSD-3-Clause,2017-12-17 20:28:20.000000,2020-09-06 09:54:54.000000,2019-03-26 09:26:28.000000,93,53.0,34.0,441,187.0,a distributed Hyperband implementation on Steroids.,11.0,19,False,2019-07-30 12:47:43.000000,1.0,6.0,hpbandster,,,,,128.0,112.0,https://pypi.org/project/hpbandster,2018-10-24 09:31:01.000000,16.0,4906.0,4906.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n660,Feature Engine,solegalli/feature_engine,,others,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2018-12-31 01:47:18.000000,2021-01-25 12:36:37.909000,2021-01-23 11:51:12.000000,127,26.0,73.0,432,104.0,Feature engineering package with sklearn like functionality.,20.0,19,True,2021-01-23 12:03:16.000000,1.0.2,25.0,feature_engine,conda-forge/feature_engine,,,,2.0,,https://pypi.org/project/feature_engine,2021-01-23 12:03:16.000000,2.0,11089.0,11347.0,https://anaconda.org/conda-forge/feature_engine,2021-01-25 12:36:37.909000,1292.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n661,What-If Tool,PAIR-code/what-if-tool,,interpretability,https://github.com/PAIR-code/what-if-tool,https://github.com/PAIR-code/what-if-tool,Apache-2.0,2018-09-07 20:26:10.000000,2021-01-19 14:40:37.214000,2021-01-19 14:26:52.000000,91,34.0,35.0,427,313.0,Source code/webpage/demos for the What-If Tool.,18.0,19,True,2021-01-19 14:40:37.214000,1.8.0,38.0,witwidget,,,,,0.0,,https://pypi.org/project/witwidget,2021-01-19 14:40:21.000000,0.0,2841.0,5189.0,,,,,,,,3.0,,,,wit-widget,https://www.npmjs.com/package/wit-widget,2021-01-19 14:40:37.214000,,2348.0,,,,,,,,,,,,,,,\n662,Poutyne,GRAAL-Research/poutyne,,pytorch-utils,https://github.com/GRAAL-Research/poutyne,https://github.com/GRAAL-Research/poutyne,LGPL-3.0,2017-12-07 18:30:17.000000,2021-01-24 21:18:10.000000,2020-12-24 16:52:02.000000,47,12.0,35.0,422,495.0,A simplified framework and utilities for PyTorch.,15.0,19,False,2020-12-24 17:01:16.000000,1.2,18.0,poutyne,,,,['pytorch'],54.0,52.0,https://pypi.org/project/poutyne,2020-12-24 17:02:00.000000,2.0,275.0,275.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n663,pivottablejs,nicolaskruchten/jupyter_pivottablejs,,data-viz,https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,MIT,2015-09-09 13:39:18.000000,2018-12-04 14:43:26.000000,2018-12-04 14:43:25.000000,56,16.0,37.0,417,32.0,\"Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js.\",3.0,19,False,2018-01-15 18:14:37.000000,0.9.0,10.0,pivottablejs,,,,['jupyter'],157.0,143.0,https://pypi.org/project/pivottablejs,2018-01-15 18:14:37.000000,14.0,3979.0,3979.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n664,seglearn,dmbee/seglearn,,time-series-data,https://github.com/dmbee/seglearn,https://github.com/dmbee/seglearn,BSD-3-Clause,2018-03-05 20:53:59.000000,2021-01-17 19:11:59.000000,2021-01-16 23:21:41.000000,47,6.0,20.0,416,267.0,Python module for machine learning time series:.,13.0,19,True,2020-04-02 15:26:06.000000,1.2.2,21.0,seglearn,,,,,7.0,6.0,https://pypi.org/project/seglearn,2021-01-17 19:11:59.000000,1.0,1438.0,1438.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n665,lazypredict,shankarpandala/lazypredict,,hyperopt,https://github.com/shankarpandala/lazypredict,https://github.com/shankarpandala/lazypredict,MIT,2019-11-16 09:56:35.000000,2021-01-24 11:57:09.000000,2021-01-23 23:52:55.000000,82,42.0,24.0,355,81.0,Lazy Predict help build a lot of basic models without much code and helps understand which models works better without..,10.0,19,True,2020-07-09 04:53:31.000000,0.2.7,9.0,lazypredict,,,,['sklearn'],18.0,18.0,https://pypi.org/project/lazypredict,2020-07-09 04:53:31.000000,,1520.0,1520.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n666,animatplot,t-makaro/animatplot,,data-viz,https://github.com/t-makaro/animatplot,https://github.com/t-makaro/animatplot,MIT,2017-04-03 00:54:04.000000,2020-10-06 02:02:00.460000,2020-10-05 06:14:18.000000,33,16.0,15.0,352,178.0,A python package for animating plots build on matplotlib.,7.0,19,True,2020-10-05 06:20:52.000000,0.4.2,10.0,animatplot,conda-forge/animatplot,,,,15.0,14.0,https://pypi.org/project/animatplot,2020-10-05 06:20:52.000000,1.0,100.0,322.0,https://anaconda.org/conda-forge/animatplot,2020-10-06 02:02:00.460000,5120.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n667,MXBoard,awslabs/mxboard,,ml-experiments,https://github.com/awslabs/mxboard,https://github.com/awslabs/mxboard,Apache-2.0,2018-02-06 23:03:51.000000,2020-01-24 23:21:56.000000,2020-01-24 23:21:55.000000,46,16.0,15.0,330,42.0,Logging MXNet data for visualization in TensorBoard.,9.0,19,True,2018-05-22 20:25:51.000000,0.1.0,12.0,mxboard,,,,['mxnet'],96.0,95.0,https://pypi.org/project/mxboard,2018-05-22 20:25:51.000000,1.0,2189.0,2189.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n668,scikit-rebate,EpistasisLab/scikit-rebate,,others,https://github.com/EpistasisLab/scikit-rebate,https://github.com/EpistasisLab/scikit-rebate,MIT,2016-09-19 13:36:17.000000,2020-08-21 15:39:02.000000,2020-07-18 19:05:12.000000,56,15.0,17.0,304,281.0,\"A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for..\",13.0,19,True,2017-04-12 16:12:01.000000,0.3.4,11.0,skrebate,,,,['sklearn'],148.0,117.0,https://pypi.org/project/skrebate,2020-07-18 19:16:45.000000,31.0,934.0,934.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n669,AutoViz,AutoViML/AutoViz,,data-viz,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06.000000,2020-12-21 03:22:01.000000,2020-12-21 03:21:52.000000,54,5.0,16.0,294,97.0,\"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..\",10.0,19,True,2020-12-10 02:33:19.000000,0.0.81,26.0,autoviz,,,,,27.0,27.0,https://pypi.org/project/autoviz,2020-12-10 02:33:19.000000,,943.0,943.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n670,PyKEEN,pykeen/pykeen,,graph,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000000,2021-01-27 21:07:18.000000,2021-01-27 15:09:21.000000,48,50.0,67.0,289,2273.0,A Python library for learning and evaluating knowledge graph embeddings.,17.0,19,True,2021-01-20 11:50:48.000000,1.1.0,33.0,pykeen,,,,,1.0,,https://pypi.org/project/pykeen,2021-01-20 11:43:06.000000,1.0,164.0,174.0,,,,,,,,3.0,73.0,,,,,,,,,,,,,,,,,,,,,,\n671,scikit-tda,scikit-tda/scikit-tda,,sklearn-utils,https://github.com/scikit-tda/scikit-tda,https://github.com/scikit-tda/scikit-tda,MIT,2018-04-13 21:00:31.000000,2021-01-09 19:51:04.000000,2021-01-09 19:50:05.000000,32,11.0,3.0,264,56.0,Topological Data Analysis for Python.,2.0,19,True,2021-01-09 19:51:04.000000,0.1.0,3.0,scikit-tda,,,,['sklearn'],18.0,18.0,https://pypi.org/project/scikit-tda,2021-01-09 19:51:04.000000,,3505.0,3505.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n672,textpipe,textpipe/textpipe,,nlp,https://github.com/textpipe/textpipe,https://github.com/textpipe/textpipe,MIT,2018-06-21 16:23:32.000000,2021-01-25 14:05:21.000000,2021-01-25 14:01:56.000000,19,21.0,24.0,263,370.0,Textpipe: clean and extract metadata from text.,28.0,19,True,2021-01-25 14:05:21.000000,0.12.2,39.0,textpipe,,,,,8.0,7.0,https://pypi.org/project/textpipe,2021-01-25 14:05:21.000000,1.0,698.0,698.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n673,pyfasttext,vrasneur/pyfasttext,,nlp,https://github.com/vrasneur/pyfasttext,https://github.com/vrasneur/pyfasttext,GPL-3.0,2017-06-30 18:44:42.000000,2018-12-08 15:32:09.000000,2018-12-08 15:02:12.000000,31,19.0,28.0,229,153.0,Yet another Python binding for fastText.,4.0,19,False,2018-12-08 15:02:54.000000,0.4.6,13.0,pyfasttext,,,,,144.0,139.0,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09.000000,5.0,1456.0,1463.0,,,,,,,,3.0,318.0,,,,,,,,,,,,,,,,,,,,,,\n674,Brainiak,brainiak/brainiak,,medical-data,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27.000000,2021-01-28 02:19:08.000000,2020-10-15 16:28:46.000000,106,63.0,117.0,229,388.0,Brain Imaging Analysis Kit.,32.0,19,True,2019-08-27 23:52:29.000000,0.9.1,15.0,brainiak,,brainiak/brainiak,,,13.0,12.0,https://pypi.org/project/brainiak,2020-10-15 20:45:08.000000,1.0,96.0,103.0,,,,https://hub.docker.com/r/brainiak/brainiak,2020-10-15 21:11:03.379549,1.0,468.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n675,recmetrics,statisticianinstilettos/recmetrics,,recommender-systems,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49.000000,2020-12-03 21:21:02.000000,2020-12-03 21:21:00.000000,52,7.0,7.0,228,233.0,A library of metrics for evaluating recommender systems.,12.0,19,True,2019-02-10 16:12:38.000000,0.0.9,11.0,recmetrics,,,,,16.0,16.0,https://pypi.org/project/recmetrics,2019-02-10 16:12:38.000000,,787.0,787.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n676,quinn,MrPowers/quinn,,ml-experiments,https://github.com/MrPowers/quinn,https://github.com/MrPowers/quinn,Apache-2.0,2017-09-15 13:02:42.000000,2020-07-29 16:22:29.000000,2020-07-29 15:47:58.000000,26,17.0,6.0,205,106.0,pyspark methods to enhance developer productivity.,6.0,19,True,2020-07-26 02:55:16.000000,0.8.0,11.0,quinn,,,,['spark'],3.0,,https://pypi.org/project/quinn,2020-07-26 02:55:16.000000,3.0,89293.0,89293.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n677,gokart,m3dev/gokart,,ml-experiments,https://github.com/m3dev/gokart,https://github.com/m3dev/gokart,MIT,2018-12-23 07:40:27.000000,2021-01-28 10:56:34.000000,2021-01-27 01:39:48.000000,29,9.0,22.0,159,322.0,A wrapper of the data pipeline library luigi.,24.0,19,True,2021-01-27 01:42:32.000000,0.3.25,49.0,gokart,,,,,2.0,,https://pypi.org/project/gokart,2020-02-25 06:01:19.000000,2.0,448.0,448.0,,,,,,,,3.0,,,-2.0,,,,,,,,,,,,,,,,,,,,\n678,Crypto Signals,CryptoSignal/crypto-signal,,financial-data,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24.000000,2021-01-25 03:47:41.000000,2020-09-03 12:26:48.000000,649,43.0,188.0,2471,563.0,\"Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 2,100 + stars, 580 + forks.\",25.0,18,True,,,,,,shadowreaver/crypto-signal,,,,,,,,,1030.0,,,,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133,8.0,41215.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n679,vit-pytorch,lucidrains/vit-pytorch,,image,https://github.com/lucidrains/vit-pytorch,https://github.com/lucidrains/vit-pytorch,MIT,2020-10-03 22:47:24.000000,2021-01-21 17:40:02.000000,2021-01-21 17:39:42.000000,221,22.0,39.0,2427,,\"Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single..\",4.0,18,True,2021-01-21 17:40:02.000000,0.6.7,25.0,vit-pytorch,,,,['pytorch'],5.0,5.0,https://pypi.org/project/vit-pytorch,2021-01-11 18:49:51.000000,,818.0,818.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n680,Spotlight,maciejkula/spotlight,,recommender-systems,https://github.com/maciejkula/spotlight,https://github.com/maciejkula/spotlight,MIT,2017-06-25 18:52:19.000000,2020-11-15 08:21:28.000000,2020-02-09 21:03:48.000000,366,64.0,48.0,2396,299.0,Deep recommender models using PyTorch.,11.0,18,True,2019-09-08 10:19:53.000000,0.1.6,7.0,,maciejkula/spotlight,,,['pytorch'],,,,,,,138.0,https://anaconda.org/maciejkula/spotlight,2018-05-27 18:32:12.235000,5944.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n681,DeepWalk,phanein/deepwalk,,graph,https://github.com/phanein/deepwalk,https://github.com/phanein/deepwalk,GPL-3.0,2014-08-23 03:38:20.000000,2020-04-02 01:05:36.000000,2020-04-02 01:05:35.000000,755,29.0,78.0,2169,46.0,DeepWalk - Deep Learning for Graphs.,10.0,18,False,2018-04-29 21:05:18.000000,1.0.3,4.0,deepwalk,,,,,42.0,35.0,https://pypi.org/project/deepwalk,2018-04-29 21:05:18.000000,7.0,954.0,954.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n682,spark-deep-learning,databricks/spark-deep-learning,,data-pipelines,https://github.com/databricks/spark-deep-learning,https://github.com/databricks/spark-deep-learning,Apache-2.0,2017-05-31 17:30:28.000000,2021-01-20 15:05:13.000000,2021-01-20 15:00:20.000000,444,74.0,26.0,1803,135.0,Deep Learning Pipelines for Apache Spark.,15.0,18,True,2020-01-08 19:50:31.000000,1.6.0,9.0,,,,,['spark'],16.0,16.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n683,riko,nerevu/riko,,data-pipelines,https://github.com/nerevu/riko,https://github.com/nerevu/riko,MIT,2016-06-02 12:22:51.000000,2020-08-14 18:29:28.000000,2020-08-14 16:47:45.000000,72,22.0,8.0,1555,1257.0,A Python stream processing engine modeled after Yahoo! Pipes.,18.0,18,True,2020-08-14 18:29:28.000000,0.66.0,58.0,riko,,,,,1.0,,https://pypi.org/project/riko,2020-08-14 18:29:28.000000,1.0,143.0,143.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n684,NeuroNER,Franck-Dernoncourt/NeuroNER,,nlp,https://github.com/Franck-Dernoncourt/NeuroNER,https://github.com/Franck-Dernoncourt/NeuroNER,MIT,2017-03-07 01:24:15.000000,2020-11-13 18:07:48.000000,2019-10-02 23:26:11.000000,440,78.0,67.0,1529,132.0,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,7.0,18,False,2019-10-02 23:30:15.000000,1.0.8,7.0,pyneuroner,,,,,8.0,8.0,https://pypi.org/project/pyneuroner,2019-10-02 23:30:15.000000,,90.0,90.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n685,Databolt Flow,d6t/d6tflow,,data-pipelines,https://github.com/d6t/d6tflow,https://github.com/d6t/d6tflow,MIT,2019-02-03 01:51:22.000000,2021-01-01 18:15:45.000000,2020-12-19 21:46:11.000000,64,5.0,11.0,895,106.0,Python library for building highly effective data science workflows.,10.0,18,True,2020-10-19 04:14:45.000000,0.2.2,19.0,d6tflow,,,,,12.0,12.0,https://pypi.org/project/d6tflow,2020-12-19 22:37:20.000000,,107.0,107.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n686,Bounter,RaRe-Technologies/bounter,,data-containers,https://github.com/RaRe-Technologies/bounter,https://github.com/RaRe-Technologies/bounter,MIT,2017-07-18 07:24:15.000000,2020-08-17 06:37:51.000000,2020-08-16 11:55:16.000000,48,11.0,9.0,893,152.0,Efficient Counter that uses a limited (bounded) amount of memory regardless of data size.,8.0,18,True,2019-01-17 09:39:52.000000,1.1.1,7.0,bounter,,,,,34.0,20.0,https://pypi.org/project/bounter,2020-08-17 06:37:51.000000,14.0,175.0,175.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n687,Norfair,tryolabs/norfair,,image,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000000,2020-12-22 05:04:27.000000,2020-12-22 05:04:25.000000,49,5.0,13.0,864,242.0,Lightweight Python library for adding real-time 2D object tracking to any detector.,7.0,18,True,2020-12-07 18:34:32.000000,0.1.8,9.0,norfair,,,,,,,https://pypi.org/project/norfair,2020-12-07 18:34:32.000000,,209.0,209.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n688,DALEX,ModelOriented/DALEX,,interpretability,https://github.com/ModelOriented/DALEX,https://github.com/ModelOriented/DALEX,GPL-3.0,2018-02-18 03:24:12.000000,2021-01-18 22:16:26.000000,2021-01-06 20:33:02.000000,108,8.0,246.0,760,531.0,moDel Agnostic Language for Exploration and eXplanation.,16.0,18,False,2021-01-04 17:21:32.000000,1.0.0,18.0,dalex,,,,,7.0,7.0,https://pypi.org/project/dalex,2020-12-28 23:47:30.000000,,476.0,476.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n689,pytorch2keras,nerox8664/pytorch2keras,,model-serialisation,https://github.com/nerox8664/pytorch2keras,https://github.com/nerox8664/pytorch2keras,MIT,2017-11-16 20:21:43.000000,2020-05-14 10:03:56.000000,2020-05-14 10:03:04.000000,111,39.0,65.0,657,277.0,PyTorch to Keras model convertor.,11.0,18,True,2020-05-14 10:03:56.000000,0.2.4,23.0,pytorch2keras,,,,,18.0,17.0,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56.000000,1.0,377.0,377.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n690,Torchbearer,pytorchbearer/torchbearer,,ml-frameworks,https://github.com/pytorchbearer/torchbearer,https://github.com/pytorchbearer/torchbearer,MIT,2018-03-12 16:30:42.000000,2020-02-17 21:18:06.000000,2020-02-17 21:18:01.000000,62,8.0,237.0,580,427.0,torchbearer: A model fitting library for PyTorch.,13.0,18,True,2020-01-31 14:07:22.000000,0.5.3,24.0,torchbearer,,,,['pytorch'],41.0,38.0,https://pypi.org/project/torchbearer,2020-01-31 14:05:56.000000,3.0,153.0,153.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n691,vecstack,vecxoz/vecstack,,others,https://github.com/vecxoz/vecstack,https://github.com/vecxoz/vecstack,MIT,2016-11-08 13:23:21.000000,2020-09-14 08:31:07.000000,2019-10-30 09:27:48.000000,65,,34.0,576,189.0,Python package for stacking (machine learning technique).,1.0,18,False,2019-08-12 16:09:01.000000,0.4.0,6.0,vecstack,,,,,108.0,104.0,https://pypi.org/project/vecstack,2019-08-12 16:01:22.000000,4.0,670.0,670.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n692,pyhsmm,mattjj/pyhsmm,,probabilistics,https://github.com/mattjj/pyhsmm,https://github.com/mattjj/pyhsmm,MIT,2012-03-18 17:40:13.000000,2020-09-29 20:58:26.000000,2020-08-24 17:03:59.000000,147,34.0,60.0,477,1426.0,Bayesian inference in HSMMs and HMMs.,13.0,18,True,2017-05-10 17:14:37.000000,0.1.7,8.0,pyhsmm,,,,,21.0,17.0,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37.000000,4.0,34.0,34.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n693,robustness,MadryLab/robustness,,adversarial,https://github.com/MadryLab/robustness,https://github.com/MadryLab/robustness,MIT,2019-08-21 09:26:33.000000,2020-12-01 06:11:12.000000,2020-12-01 05:49:45.000000,80,5.0,49.0,460,137.0,\"A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.\",11.0,18,True,2020-12-01 06:11:12.000000,1.2.1.post2,8.0,robustness,,,,,33.0,32.0,https://pypi.org/project/robustness,2020-08-05 04:42:24.000000,1.0,234.0,234.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n694,PyWaffle,gyli/PyWaffle,,data-viz,https://github.com/gyli/PyWaffle,https://github.com/gyli/PyWaffle,MIT,2017-11-14 20:03:47.000000,2020-07-26 23:22:17.000000,2020-07-26 23:22:13.000000,62,2.0,10.0,385,249.0,Make Waffle Charts in Python.,6.0,18,True,2020-07-26 19:16:45.000000,0.6.1,22.0,pywaffle,,,,,40.0,40.0,https://pypi.org/project/pywaffle,2020-07-26 19:16:45.000000,,723.0,723.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n695,Camphr,PKSHATechnology-Research/camphr,,nlp,https://github.com/PKSHATechnology-Research/camphr,https://github.com/PKSHATechnology-Research/camphr,Apache-2.0,2020-02-10 03:39:58.000000,2021-01-28 00:28:55.000000,2021-01-28 00:28:52.000000,16,13.0,16.0,325,1103.0,\"spaCy plugin for Transformers , Udify, ELmo, etc.\",7.0,18,True,2020-12-25 08:53:36.000000,0.7.2,37.0,camphr,,,,['spacy'],,,https://pypi.org/project/camphr,2020-12-25 08:53:36.000000,,309.0,309.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n696,apricot,jmschrei/apricot,,others,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12.000000,2020-09-30 20:53:48.000000,2020-09-30 20:53:44.000000,29,3.0,11.0,302,151.0,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,2.0,18,True,2020-09-28 07:19:15.000000,0.6.0,13.0,apricot-select,,,,,12.0,12.0,https://pypi.org/project/apricot-select,2020-09-28 07:19:15.000000,,325.0,325.0,,,,,,,,3.0,8.0,,,,,,,,,,,,,,,,,,,,,,\n697,explainerdashboard,oegedijk/explainerdashboard,,interpretability,https://github.com/oegedijk/explainerdashboard,https://github.com/oegedijk/explainerdashboard,MIT,2019-10-30 08:26:16.000000,2021-01-28 12:02:09.000000,2021-01-28 12:02:08.000000,40,8.0,49.0,275,531.0,Quickly build Explainable AI dashboards that show the inner workings of so-called blackbox machine learning models.,8.0,18,True,2021-01-27 15:02:13.000000,0.3.0.1,66.0,explainerdashboard,,,,,3.0,3.0,https://pypi.org/project/explainerdashboard,2021-01-27 15:02:49.000000,,1021.0,1021.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n698,sk-dist,Ibotta/sk-dist,,distributed-ml,https://github.com/Ibotta/sk-dist,https://github.com/Ibotta/sk-dist,Apache-2.0,2019-08-14 21:07:17.000000,2021-01-07 17:01:27.000000,2021-01-07 17:01:23.000000,42,7.0,9.0,250,46.0,Distributed scikit-learn meta-estimators in PySpark.,6.0,18,True,2020-05-14 22:20:14.000000,0.1.9,12.0,sk-dist,,,,\"['sklearn', 'spark']\",8.0,6.0,https://pypi.org/project/sk-dist,2020-05-14 22:20:14.000000,2.0,3422.0,3422.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n699,DeepGraph,deepgraph/deepgraph,,graph,https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45.000000,2021-01-15 08:36:25.609000,2020-10-01 13:17:00.000000,33,7.0,5.0,227,160.0,Analyze Data with Pandas-based Networks. Documentation:.,2.0,18,True,2020-10-01 13:20:38.000000,0.2.3,13.0,deepgraph,conda-forge/deepgraph,,,['pandas'],1.0,1.0,https://pypi.org/project/deepgraph,2020-10-01 13:18:38.000000,,188.0,2062.0,https://anaconda.org/conda-forge/deepgraph,2021-01-15 08:36:25.609000,76849.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n700,ivis,beringresearch/ivis,,data-viz,https://github.com/beringresearch/ivis,https://github.com/beringresearch/ivis,GPL-2.0,2018-08-13 08:31:01.000000,2021-01-20 11:32:35.000000,2021-01-20 11:32:25.000000,19,4.0,41.0,221,517.0,Dimensionality reduction in very large datasets using Siamese Networks.,7.0,18,False,2021-01-06 17:09:59.000000,2.0.1,27.0,ivis,,,,['tensorflow'],14.0,14.0,https://pypi.org/project/ivis,2021-01-06 17:07:15.000000,0.0,470.0,470.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n701,skift,shaypal5/skift,,nlp,https://github.com/shaypal5/skift,https://github.com/shaypal5/skift,MIT,2018-02-03 11:37:21.000000,2021-01-19 11:35:21.000000,2021-01-19 11:35:09.000000,22,2.0,8.0,209,127.0,scikit-learn wrappers for Python fastText.,6.0,18,True,2020-08-04 07:56:43.000000,0.0.19,15.0,skift,,,,['sklearn'],8.0,8.0,https://pypi.org/project/skift,2020-08-27 15:01:05.000000,,884.0,884.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n702,FiftyOne,voxel51/fiftyone,,data-viz,https://github.com/voxel51/fiftyone,https://github.com/voxel51/fiftyone,Apache-2.0,2020-04-22 13:43:28.000000,2021-01-28 15:25:57.000000,2021-01-28 03:16:54.000000,15,117.0,193.0,184,5467.0,\"Visualize, create, and debug image and video datasets and model predictions.\",10.0,18,True,2021-01-08 19:08:48.000000,0.7.1,38.0,fiftyone,,,,\"['tensorflow', 'pytorch', 'jupyter']\",,,https://pypi.org/project/fiftyone,2021-01-16 00:00:47.000000,,264.0,264.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n703,fairness-indicators,tensorflow/fairness-indicators,,interpretability,https://github.com/tensorflow/fairness-indicators,https://github.com/tensorflow/fairness-indicators,Apache-2.0,2019-09-30 22:56:45.000000,2021-01-27 22:55:43.000000,2021-01-27 22:55:34.000000,49,16.0,5.0,173,238.0,Tensorflow's Fairness Evaluation and Visualization Toolkit.,19.0,18,True,2020-12-17 03:33:37.000000,0.26.0,12.0,fairness-indicators,,,,\"['tensorflow', 'jupyter']\",,,https://pypi.org/project/fairness-indicators,2020-12-17 03:33:37.000000,,336.0,336.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n704,Funsor,pyro-ppl/funsor,,probabilistics,https://github.com/pyro-ppl/funsor,https://github.com/pyro-ppl/funsor,Apache-2.0,2019-01-30 23:13:39.000000,2021-01-28 06:44:39.000000,2021-01-27 15:20:02.000000,15,70.0,60.0,159,475.0,Functional tensors for probabilistic programming.,9.0,18,True,2021-01-24 17:27:54.000000,0.4.0,6.0,funsor,,,,['pytorch'],9.0,9.0,https://pypi.org/project/funsor,2021-01-24 17:26:50.000000,,251.0,251.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n705,Auto TS,AutoViML/Auto_TS,,time-series-data,https://github.com/AutoViML/Auto_TS,https://github.com/AutoViML/Auto_TS,Apache-2.0,2020-02-15 15:23:32.000000,2021-01-24 03:19:22.000000,2021-01-24 03:17:19.000000,35,5.0,23.0,158,230.0,\"Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of..\",5.0,18,True,2021-01-24 03:19:22.000000,0.0.35,14.0,auto-ts,,,,,,,https://pypi.org/project/auto-ts,2021-01-24 03:19:22.000000,,581.0,581.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n706,Glow,projectglow/glow,,medical-data,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47.000000,2021-01-28 15:02:48.000000,2021-01-28 01:11:32.000000,40,22.0,51.0,155,303.0,An open-source toolkit for large-scale genomic analysis.,11.0,18,True,2020-09-10 18:38:52.000000,0.6.0,9.0,glow.py,,,,,,,https://pypi.org/project/glow.py,2020-09-10 01:15:03.000000,,696.0,696.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n707,flupy,olirice/flupy,,data-pipelines,https://github.com/olirice/flupy,https://github.com/olirice/flupy,MIT,2018-01-06 16:46:04.000000,2021-01-06 12:37:41.000000,2021-01-06 12:37:33.000000,9,,7.0,152,176.0,Fluent data pipelines for python and your shell.,4.0,18,True,2021-01-06 12:37:15.000000,1.1.6,34.0,flupy,,,,,0.0,,https://pypi.org/project/flupy,2021-01-06 12:37:15.000000,0.0,2392.0,2392.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n708,ploomber,ploomber/ploomber,,data-pipelines,https://github.com/ploomber/ploomber,https://github.com/ploomber/ploomber,Apache-2.0,2020-01-20 20:13:06.000000,2021-01-27 04:54:33.000000,2021-01-18 16:32:19.000000,1,50.0,232.0,118,1461.0,\"A convention over configuration workflow orchestrator. Develop locally (Jupyter or your favorite editor), deploy to..\",4.0,18,False,2021-01-09 00:47:02.000000,0.8.6,33.0,ploomber,,,,,13.0,13.0,https://pypi.org/project/ploomber,2021-01-18 16:53:22.000000,,206.0,206.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n709,DeepMind Lab,deepmind/lab,,reinforcement-learning,https://github.com/deepmind/lab,https://github.com/deepmind/lab,GPL-2.0,2016-11-30 13:41:26.000000,2021-01-24 11:43:38.000000,2021-01-11 18:00:59.000000,1286,37.0,153.0,6389,475.0,A customisable 3D platform for agent-based AI research.,7.0,17,False,2020-12-07 11:26:33.000000,release-2020-12-07,8.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n710,TTS,mozilla/TTS,,audio,https://github.com/mozilla/TTS,https://github.com/mozilla/TTS,MPL-2.0,2018-01-23 14:22:06.000000,2021-01-28 12:10:07.000000,2021-01-27 10:26:38.000000,661,25.0,417.0,3113,2177.0,Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts).,50.0,17,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n711,LIT,PAIR-code/lit,,interpretability,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000000,2021-01-27 20:30:35.000000,2020-11-17 00:43:10.000000,230,27.0,27.0,2359,,The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and..,10.0,17,True,2020-11-17 00:53:31.000000,0.2,4.0,lit-nlp,,,,,,,https://pypi.org/project/lit-nlp,2020-11-17 00:52:37.000000,,154.0,154.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n712,PaddleDetection,PaddlePaddle/PaddleDetection,,image,https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000000,2021-01-28 14:05:02.000000,2021-01-20 13:36:59.000000,623,330.0,853.0,2247,696.0,Object detection and instance segmentation toolkit based on PaddlePaddle.,43.0,17,True,2019-11-27 05:15:38.000000,0.1.0,1.0,,,,,['paddle'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n713,Mara Pipelines,mara/mara-pipelines,,data-pipelines,https://github.com/mara/mara-pipelines,https://github.com/mara/mara-pipelines,MIT,2018-03-31 20:37:22.000000,2021-01-23 23:22:28.000000,2021-01-23 23:22:27.000000,76,6.0,12.0,1615,131.0,\"A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow.\",16.0,17,True,2020-07-31 19:31:29.000000,3.1.1,7.0,mara-pipelines,,,,,7.0,7.0,https://pypi.org/project/mara-pipelines,2020-07-31 19:26:16.000000,,27.0,27.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n714,BlazingSQL,BlazingDB/blazingsql,,gpu-utilities,https://github.com/BlazingDB/blazingsql,https://github.com/BlazingDB/blazingsql,Apache-2.0,2018-09-24 18:25:45.000000,2021-01-28 15:13:35.000000,2021-01-25 19:09:21.000000,132,246.0,326.0,1391,,\"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.\",39.0,17,True,2020-12-14 17:43:48.000000,0.17.0,15.0,,blazingsql/blazingsql-protocol,,,,,,,,,,57.0,https://anaconda.org/blazingsql/blazingsql-protocol,2019-11-11 19:54:17.621000,914.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n715,Antialiased CNNs,adobe/antialiased-cnns,,pytorch-utils,https://github.com/adobe/antialiased-cnns,https://github.com/adobe/antialiased-cnns,CC BY-NC-SA 4.0,2019-05-14 20:51:25.000000,2020-10-23 22:45:52.000000,2020-10-22 19:40:07.000000,176,9.0,29.0,1340,238.0,pip install antialiased-cnns to improve stability and accuracy.,6.0,17,False,2020-10-23 22:45:52.000000,0.3,6.0,antialiased-cnns,,,,['pytorch'],,,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49.000000,,383.0,383.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n716,Advisor,tobegit3hub/advisor,,hyperopt,https://github.com/tobegit3hub/advisor,https://github.com/tobegit3hub/advisor,Apache-2.0,2017-09-14 03:50:33.000000,2019-11-11 07:09:57.869705,2019-11-11 06:59:31.000000,240,19.0,13.0,1338,165.0,Open-source implementation of Google Vizier for hyper parameters tuning.,11.0,17,False,2018-10-18 02:54:09.000000,0.1.6,4.0,advisor,,tobegit3hub/advisor,,,,,https://pypi.org/project/advisor,2018-10-18 02:54:09.000000,,28.0,66.0,,,,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1549.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n717,River,online-ml/river,,others,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000000,2021-01-28 13:34:22.000000,2021-01-28 13:31:34.000000,164,38.0,242.0,1329,2954.0,Online machine learning in Python.,58.0,17,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n718,Lambda Networks,lucidrains/lambda-networks,,pytorch-utils,https://github.com/lucidrains/lambda-networks,https://github.com/lucidrains/lambda-networks,MIT,2020-10-08 19:01:15.000000,2020-11-18 19:54:34.000000,2020-11-18 19:54:30.000000,133,8.0,15.0,1282,,\"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.\",3.0,17,True,2020-11-18 08:18:54.000000,0.4.0,11.0,lambda-networks,,,,['pytorch'],,,https://pypi.org/project/lambda-networks,2020-10-20 21:49:22.000000,,1337.0,1337.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n719,Backtesting.py,kernc/backtesting.py,,financial-data,https://github.com/kernc/backtesting.py,https://github.com/kernc/backtesting.py,AGPL-3.0,2019-01-02 03:11:32.000000,2021-01-25 00:12:30.000000,2021-01-25 00:04:10.000000,232,20.0,166.0,949,218.0,Backtest trading strategies in Python.,8.0,17,False,2017-07-22 02:00:06.000000,0.0.1,1.0,backtesting,,,,,,,https://pypi.org/project/backtesting,2017-07-22 02:00:06.000000,,2161.0,2161.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n720,Fiber,uber/fiber,,distributed-ml,https://github.com/uber/fiber,https://github.com/uber/fiber,Apache-2.0,2020-01-07 18:16:24.000000,2020-10-06 14:39:41.000000,2020-10-06 14:39:12.000000,89,13.0,5.0,840,60.0,Distributed Computing for AI Made Simple.,5.0,17,True,2020-07-09 03:28:28.000000,0.2.1,6.0,fiber,,,,,19.0,18.0,https://pypi.org/project/fiber,2020-07-09 03:28:28.000000,1.0,773.0,773.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n721,advertorch,BorealisAI/advertorch,,adversarial,https://github.com/BorealisAI/advertorch,https://github.com/BorealisAI/advertorch,GPL-3.0,2018-11-29 22:17:33.000000,2020-09-25 15:01:47.000000,2020-06-15 01:16:18.000000,122,13.0,28.0,799,270.0,A Toolbox for Adversarial Robustness Research.,16.0,17,False,2020-06-15 01:20:07.000000,0.2.3,10.0,advertorch,,,,['pytorch'],32.0,29.0,https://pypi.org/project/advertorch,2020-06-15 01:20:07.000000,3.0,464.0,464.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n722,sklearn-deap,rsteca/sklearn-deap,,hyperopt,https://github.com/rsteca/sklearn-deap,https://github.com/rsteca/sklearn-deap,MIT,2015-10-28 22:52:34.000000,2019-12-03 13:29:06.000000,2019-12-03 13:29:04.000000,107,21.0,31.0,622,98.0,Use evolutionary algorithms instead of gridsearch in scikit-learn.,20.0,17,False,2019-07-15 09:24:09.000000,0.2.4,13.0,sklearn-deap,,,,['sklearn'],25.0,23.0,https://pypi.org/project/sklearn-deap,2019-07-15 09:24:09.000000,2.0,246.0,246.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n723,ADTK,arundo/adtk,,time-series-data,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22.000000,2020-04-29 19:54:40.000000,2020-04-17 02:27:44.000000,75,22.0,30.0,586,78.0,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,11.0,17,True,2020-04-17 02:18:00.000000,0.6.2,13.0,adtk,,,,,,,https://pypi.org/project/adtk,2020-04-17 02:18:00.000000,,24308.0,24308.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n724,Objax,google/objax,,ml-frameworks,https://github.com/google/objax,https://github.com/google/objax,Apache-2.0,2020-08-20 06:20:40.000000,2021-01-28 00:32:28.000000,2021-01-27 23:51:42.000000,42,31.0,48.0,556,393.0,Objax is a machine learning framework that provides an Object Oriented layer for JAX.,19.0,17,True,2020-11-02 23:25:20.000000,1.2.0,4.0,objax,,,,['jax'],5.0,5.0,https://pypi.org/project/objax,2020-11-02 23:09:45.000000,,137.0,137.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n725,Dragonfly,dragonfly/dragonfly,,hyperopt,https://github.com/dragonfly/dragonfly,https://github.com/dragonfly/dragonfly,MIT,2018-04-20 22:19:50.000000,2020-07-26 17:44:31.000000,2020-07-03 18:01:17.000000,72,21.0,17.0,556,397.0,An open source python library for scalable Bayesian optimisation.,12.0,17,True,2020-07-03 18:05:12.000000,0.1.6,9.0,dragonfly-opt,,,,,2.0,,https://pypi.org/project/dragonfly-opt,2020-07-03 18:05:12.000000,2.0,2851.0,2851.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n726,RLax,deepmind/rlax,,reinforcement-learning,https://github.com/deepmind/rlax,https://github.com/deepmind/rlax,Apache-2.0,2020-02-18 07:14:59.000000,2021-01-21 15:43:58.000000,2021-01-21 15:43:12.000000,40,3.0,3.0,545,102.0,A library of reinforcement learning building blocks in JAX.,10.0,17,True,2020-02-19 23:01:30.000000,0.1.0,3.0,rlax,,,,['jax'],11.0,11.0,https://pypi.org/project/rlax,2020-02-19 23:01:30.000000,,144.0,144.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n727,SKLL,EducationalTestingService/skll,,ml-experiments,https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,BSD-1-Clause,2013-08-02 14:31:46.000000,2021-01-11 14:48:37.000000,2021-01-05 19:18:47.000000,62,42.0,327.0,519,,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,34.0,17,False,2020-03-13 17:22:26.000000,2.1,63.0,skll,,,,['sklearn'],45.0,28.0,https://pypi.org/project/skll,2020-03-13 16:23:35.000000,17.0,171.0,171.0,,,,,,,,3.0,10.0,,,,,,,,,,,,,,,,,,,,,,\n728,DiCE,interpretml/DiCE,,interpretability,https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000000,2021-01-21 05:53:51.000000,2021-01-21 05:53:52.000000,65,13.0,18.0,444,289.0,Generate Diverse Counterfactual Explanations for any machine learning model.,9.0,17,True,2020-09-22 06:31:10.000000,0.4,2.0,dice-ml,,,,\"['tensorflow', 'pytorch']\",,,https://pypi.org/project/dice-ml,2020-09-22 06:57:33.000000,,155.0,155.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n729,TF Compression,tensorflow/compression,,tensorflow-utils,https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19.000000,2021-01-22 02:43:18.000000,2021-01-22 02:43:05.000000,150,1.0,56.0,430,141.0,Data compression in TensorFlow.,9.0,17,True,2021-01-06 01:50:06.000000,2.0b2,8.0,tensorflow-compression,,,,['tensorflow'],1.0,,https://pypi.org/project/tensorflow-compression,2021-01-06 01:36:13.000000,1.0,307.0,307.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n730,kglib,graknlabs/kglib,,graph,https://github.com/graknlabs/kglib,https://github.com/graknlabs/kglib,Apache-2.0,2018-09-16 16:46:48.000000,2021-01-15 11:17:51.000000,2021-01-15 11:17:51.000000,71,10.0,49.0,387,487.0,Grakn Knowledge Graph Library (ML R&D).,7.0,17,True,2020-08-19 15:32:49.000000,0.2.2,7.0,grakn-kglib,,,,,,,https://pypi.org/project/grakn-kglib,2020-08-19 15:39:10.000000,,50.0,58.0,,,,,,,,3.0,206.0,,,,,,,,,,,,,,,,,,,,,,\n731,Sematch,gsi-upm/sematch,,graph,https://github.com/gsi-upm/sematch,https://github.com/gsi-upm/sematch,Apache-2.0,2012-11-30 11:11:53.000000,2020-11-05 21:20:52.000000,2019-03-27 03:17:24.000000,98,14.0,19.0,338,122.0,semantic similarity framework for knowledge graph.,5.0,17,False,2017-04-17 10:56:52.000000,1.0.4,5.0,sematch,,,,,29.0,26.0,https://pypi.org/project/sematch,2017-04-17 10:56:52.000000,3.0,32.0,32.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n732,atspy,firmai/atspy,,time-series-data,https://github.com/firmai/atspy,https://github.com/firmai/atspy,MIT,2020-01-28 05:00:10.000000,2020-12-01 13:53:03.000000,2020-11-12 16:15:26.000000,63,16.0,2.0,332,97.0,AtsPy: Automated Time Series Models in Python (by @firmai).,5.0,17,True,2020-11-12 16:10:48.000000,zen,39.0,atspy,,,,,3.0,3.0,https://pypi.org/project/atspy,2020-04-24 18:16:15.000000,,218.0,218.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n733,tick,X-DataInitiative/tick,,time-series-data,https://github.com/X-DataInitiative/tick,https://github.com/X-DataInitiative/tick,BSD-3-Clause,2016-12-01 10:59:08.000000,2020-08-11 12:36:43.000000,2020-06-15 12:01:36.000000,75,55.0,159.0,321,413.0,\"Module for statistical learning, with a particular emphasis on time-dependent modelling.\",16.0,17,True,2019-09-11 11:25:15.000000,0.6,23.0,tick,,,,,31.0,30.0,https://pypi.org/project/tick,2020-05-24 22:01:17.000000,1.0,355.0,358.0,,,,,,,,3.0,155.0,,,,,,,,,,,,,,,,,,,,,,\n734,Baal,ElementAI/baal,,probabilistics,https://github.com/ElementAI/baal,https://github.com/ElementAI/baal,Apache-2.0,2019-09-30 20:16:26.000000,2021-01-26 22:13:57.000000,2021-01-22 21:08:16.000000,25,12.0,23.0,313,94.0,Using approximate bayesian posteriors in deep nets for active learning.,8.0,17,True,2020-11-03 21:14:13.000000,1.2.1,7.0,baal,,,,,6.0,6.0,https://pypi.org/project/baal,2020-11-03 21:07:08.000000,,128.0,128.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n735,Orbit,uber/orbit,,probabilistics,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000000,2021-01-28 03:55:09.000000,2021-01-28 03:55:07.000000,15,22.0,145.0,312,579.0,Bayesian forecasting with object-oriented design and probabilistic models under the hood.,7.0,17,True,2020-11-15 23:46:41.000000,1.0.9,9.0,orbit-ml,,,,,3.0,3.0,https://pypi.org/project/orbit-ml,2020-11-15 23:46:41.000000,,93.0,93.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n736,DESlib,scikit-learn-contrib/DESlib,,sklearn-utils,https://github.com/scikit-learn-contrib/DESlib,https://github.com/scikit-learn-contrib/DESlib,BSD-3-Clause,2017-12-08 22:49:49.000000,2021-01-22 19:11:48.000000,2021-01-22 19:11:47.000000,66,14.0,121.0,296,261.0,A Python library for dynamic classifier and ensemble selection.,12.0,17,True,,,3.0,deslib,,,,['sklearn'],13.0,13.0,https://pypi.org/project/deslib,2019-02-18 16:47:48.000000,,107.0,107.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n737,LOFO,aerdem4/lofo-importance,,interpretability,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46.000000,2021-01-27 13:57:42.000000,2020-07-02 11:49:52.000000,40,1.0,10.0,295,24.0,Leave One Feature Out Importance.,3.0,17,True,2020-07-02 11:44:57.000000,0.2.6,9.0,lofo-importance,,,,,3.0,3.0,https://pypi.org/project/lofo-importance,2020-07-02 11:44:57.000000,,156.0,156.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n738,Sherpa,sherpa-ai/sherpa,,hyperopt,https://github.com/sherpa-ai/sherpa,https://github.com/sherpa-ai/sherpa,GPL-3.0,2018-05-16 21:41:54.000000,2020-10-18 07:57:50.000000,2020-10-18 07:57:48.000000,43,11.0,41.0,280,823.0,\"Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.\",43.0,17,False,2020-07-31 05:29:09.000000,1.0.7,8.0,parameter-sherpa,,,,,8.0,7.0,https://pypi.org/project/parameter-sherpa,2019-11-23 21:32:27.000000,1.0,370.0,370.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n739,pandas-ml,pandas-ml/pandas-ml,,others,https://github.com/pandas-ml/pandas-ml,https://github.com/pandas-ml/pandas-ml,BSD-3-Clause,2015-02-21 03:14:04.000000,2020-08-14 12:29:33.000000,2019-03-05 01:36:55.000000,57,24.0,17.0,266,153.0,\"pandas, scikit-learn, xgboost and seaborn integration.\",4.0,17,False,2019-03-05 01:36:12.000000,0.6.1,9.0,pandas-ml,,,,\"['sklearn', 'pandas']\",,,https://pypi.org/project/pandas-ml,2019-03-05 01:35:23.000000,,2135.0,2135.0,,,,,,,,3.0,5.0,,,,,,,,,,,,,,,,,,,,,,\n740,somoclu,peterwittek/somoclu,,distributed-ml,https://github.com/peterwittek/somoclu,https://github.com/peterwittek/somoclu,MIT,2013-01-16 06:33:16.000000,2020-10-13 18:39:07.609000,2020-07-24 13:00:47.000000,56,26.0,103.0,222,590.0,\"Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters.\",17.0,17,True,2018-03-03 02:44:37.000000,1.7.5,17.0,somoclu,conda-forge/somoclu,,,,2.0,,https://pypi.org/project/somoclu,2020-04-25 05:33:32.000000,2.0,674.0,1660.0,https://anaconda.org/conda-forge/somoclu,2020-10-13 18:39:07.609000,39610.0,,,,,3.0,1442.0,,,,,,,,,,,,,,,,,,,,,,\n741,skggm,skggm/skggm,,sklearn-utils,https://github.com/skggm/skggm,https://github.com/skggm/skggm,MIT,2016-06-11 18:35:56.000000,2020-12-24 08:36:00.000000,2020-12-24 05:43:15.000000,31,27.0,47.0,174,691.0,Scikit-learn compatible estimation of general graphical models.,5.0,17,True,2018-09-12 01:12:49.000000,0.2.8,6.0,skggm,,,,['sklearn'],7.0,6.0,https://pypi.org/project/skggm,2018-09-12 01:12:49.000000,1.0,130.0,130.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n742,ExplainX.ai,explainX/explainx,,interpretability,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15.000000,2021-01-07 22:35:16.000000,2021-01-07 22:35:16.000000,28,7.0,13.0,160,182.0,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,4.0,17,True,2020-10-23 17:30:47.000000,2.403,53.0,explainx,,,,,,,https://pypi.org/project/explainx,2020-12-07 22:26:30.000000,,387.0,387.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n743,BatchFlow,analysiscenter/batchflow,,data-pipelines,https://github.com/analysiscenter/batchflow,https://github.com/analysiscenter/batchflow,Apache-2.0,2017-03-13 14:22:53.000000,2021-01-28 13:22:49.000000,2021-01-28 12:36:08.000000,34,52.0,53.0,154,4345.0,BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and..,28.0,17,True,2019-08-23 12:21:50.000000,0.3.0,3.0,batchflow,,,,,,,https://pypi.org/project/batchflow,2019-08-23 12:21:50.000000,,13.0,13.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n744,Larq Compute Engine,larq/compute-engine,,model-serialisation,https://github.com/larq/compute-engine,https://github.com/larq/compute-engine,Apache-2.0,2019-08-29 15:02:43.000000,2021-01-28 14:26:30.000000,2021-01-26 10:06:23.000000,21,21.0,90.0,127,446.0,Highly optimized inference engine for Binarized Neural Networks.,14.0,17,False,2020-09-21 13:31:57.000000,0.4.3,11.0,larq-compute-engine,,,,,1.0,1.0,https://pypi.org/project/larq-compute-engine,2020-09-21 17:41:53.000000,,146.0,159.0,,,,,,,,3.0,143.0,,,,,,,,,,,,,,,,,,,,,,\n745,celer,mathurinm/celer,,sklearn-utils,https://github.com/mathurinm/celer,https://github.com/mathurinm/celer,BSD-3-Clause,2018-02-20 19:37:31.000000,2021-01-22 16:06:43.000000,2021-01-22 16:01:10.000000,20,14.0,49.0,107,212.0,\"Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.\",9.0,17,False,2020-10-12 12:26:09.000000,0.5.1,9.0,celer,,,,['sklearn'],4.0,4.0,https://pypi.org/project/celer,2020-10-12 11:56:43.000000,,150.0,150.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n746,nvidia-ml-py3,nicolargo/nvidia-ml-py3,,gpu-utilities,https://github.com/nicolargo/nvidia-ml-py3,https://github.com/nicolargo/nvidia-ml-py3,BSD-3-Clause,2017-06-03 07:47:03.000000,2019-03-06 20:41:10.000000,2019-03-06 20:41:09.000000,13,2.0,,61,5.0,Python 3 Bindings for the NVIDIA Management Library.,2.0,17,False,,,1.0,nvidia-ml-py3,,,,,2573.0,2561.0,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46.000000,12.0,321901.0,321901.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n747,ReAgent,facebookresearch/ReAgent,,reinforcement-learning,https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000000,2021-01-28 02:50:20.000000,2021-01-28 01:10:19.000000,374,20.0,74.0,2767,1076.0,\"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).\",86.0,16,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n748,automl-gs,minimaxir/automl-gs,,hyperopt,https://github.com/minimaxir/automl-gs,https://github.com/minimaxir/automl-gs,MIT,2019-01-13 18:57:44.000000,2019-10-22 11:20:40.000000,2019-04-05 06:48:14.000000,157,26.0,6.0,1711,102.0,\"Provide an input CSV and a target field to predict, generate a model + code to run it.\",7.0,16,False,2019-04-05 06:51:04.000000,0.2.1,2.0,automl_gs,,,,,,,https://pypi.org/project/automl_gs,2019-04-05 06:47:54.000000,,24.0,24.0,,,,,,,,3.0,21.0,,,,,,,,,,,,,,,,,,,,,,\n749,Xcessiv,reiinakano/xcessiv,,hyperopt,https://github.com/reiinakano/xcessiv,https://github.com/reiinakano/xcessiv,Apache-2.0,2017-03-07 18:18:25.000000,2018-06-06 22:23:37.000000,2017-08-21 00:51:15.000000,109,22.0,13.0,1258,316.0,\"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.\",6.0,16,False,2017-08-21 00:53:25.000000,0.5.1,34.0,xcessiv,,,,,2.0,1.0,https://pypi.org/project/xcessiv,2017-08-21 00:49:41.000000,1.0,34.0,34.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n750,Botflow,kkyon/botflow,,data-pipelines,https://github.com/kkyon/botflow,https://github.com/kkyon/botflow,BSD-3-Clause,2018-08-20 03:13:31.000000,2020-12-31 09:03:22.000000,2019-05-23 14:40:50.000000,98,2.0,2.0,1157,192.0,\"Python Fast Dataflow programming framework for Data pipeline work( Web Crawler,Machine Learning,Quantitative..\",11.0,16,False,,,5.0,botflow,,,,,1.0,1.0,https://pypi.org/project/botflow,2018-09-14 14:38:32.000000,,24.0,24.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n751,AdvBox,advboxes/AdvBox,,adversarial,https://github.com/advboxes/AdvBox,https://github.com/advboxes/AdvBox,Apache-2.0,2018-08-08 08:55:41.000000,2020-11-13 17:59:22.000000,2020-08-26 22:59:41.000000,221,6.0,26.0,1032,374.0,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,19.0,16,True,2018-12-05 02:48:50.000000,0.4.1,2.0,advbox,,,,,,,https://pypi.org/project/advbox,2018-12-05 02:48:50.000000,,20.0,20.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n752,sklearn-porter,nok/sklearn-porter,,model-serialisation,https://github.com/nok/sklearn-porter,https://github.com/nok/sklearn-porter,MIT,2016-06-22 22:21:34.000000,2020-10-19 07:28:00.000000,2019-12-18 13:31:50.000000,122,39.0,29.0,948,699.0,\"Transpile trained scikit-learn estimators to C, Java, JavaScript and others.\",11.0,16,False,2019-12-18 13:39:19.000000,0.7.4,20.0,sklearn-porter,,,,['sklearn'],1.0,,https://pypi.org/project/sklearn-porter,2019-12-18 13:39:19.000000,1.0,273.0,273.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n753,CrypTen,facebookresearch/CrypTen,,privacy-ml,https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000000,2021-01-20 14:57:05.000000,2021-01-20 14:56:16.000000,90,15.0,31.0,702,228.0,A framework for Privacy Preserving Machine Learning.,23.0,16,True,2020-04-21 13:59:37.000000,0.1,1.0,crypten,,,,['pytorch'],5.0,5.0,https://pypi.org/project/crypten,2020-02-05 18:53:03.000000,,64.0,64.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n754,Hivemind,learning-at-home/hivemind,,distributed-ml,https://github.com/learning-at-home/hivemind,https://github.com/learning-at-home/hivemind,MIT,2020-02-27 13:50:19.000000,2021-01-26 17:12:51.000000,2021-01-26 17:12:49.000000,32,15.0,17.0,645,296.0,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,8.0,16,True,2020-08-28 05:52:35.000000,0.8.2,5.0,hivemind,,,,,2.0,1.0,https://pypi.org/project/hivemind,2020-08-28 16:00:22.000000,1.0,11.0,11.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n755,cuGraph,rapidsai/cugraph,,gpu-utilities,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000000,2021-01-28 00:48:26.000000,2021-01-26 18:32:49.000000,135,95.0,467.0,636,,cuGraph - RAPIDS Graph Analytics Library.,58.0,16,True,2020-12-10 21:54:44.000000,0.17.0,4.0,cugraph,,,,,0.0,,https://pypi.org/project/cugraph,2019-04-04 15:31:02.000000,0.0,28.0,28.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n756,HyperparameterHunter,HunterMcGushion/hyperparameter_hunter,,hyperopt,https://github.com/HunterMcGushion/hyperparameter_hunter,https://github.com/HunterMcGushion/hyperparameter_hunter,MIT,2018-06-01 23:17:00.000000,2021-01-20 03:52:41.000000,2021-01-20 03:52:40.000000,80,36.0,84.0,635,1096.0,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries.,4.0,16,True,2019-08-06 09:09:45.000000,3.0.0,16.0,hyperparameter-hunter,,,,,1.0,,https://pypi.org/project/hyperparameter-hunter,2019-08-06 06:01:58.000000,1.0,43.0,52.0,,,,,,,,3.0,268.0,,,,,,,,,,,,,,,,,,,,,,\n757,Saliency,PAIR-code/saliency,,tensorflow-utils,https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35.000000,2020-10-15 21:38:20.000000,2020-10-01 22:54:59.000000,135,11.0,10.0,631,64.0,\"TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques.\",12.0,16,True,2019-09-26 17:59:23.000000,0.0.5,5.0,saliency,,,,['tensorflow'],13.0,13.0,https://pypi.org/project/saliency,2019-09-26 17:59:23.000000,,135.0,135.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n758,SpeedTorch,Santosh-Gupta/SpeedTorch,,gpu-utilities,https://github.com/Santosh-Gupta/SpeedTorch,https://github.com/Santosh-Gupta/SpeedTorch,MIT,2019-09-07 18:57:52.000000,2020-02-21 23:13:29.000000,2020-02-21 23:13:28.000000,36,3.0,2.0,595,170.0,Library for faster pinned CPU - GPU transfer in Pytorch.,3.0,16,True,2020-01-06 05:27:17.000000,0.1.6,14.0,SpeedTorch,,,,['pytorch'],5.0,3.0,https://pypi.org/project/SpeedTorch,2020-01-06 05:27:17.000000,2.0,93.0,93.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n759,ThunderGBM,Xtra-Computing/thundergbm,,ml-frameworks,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08.000000,2021-01-05 04:22:17.000000,2021-01-05 04:22:15.000000,71,20.0,26.0,578,606.0,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,10.0,16,True,2020-05-01 23:16:25.000000,0.3.16,24.0,thundergbm,,,,,,,https://pypi.org/project/thundergbm,2020-05-01 23:16:25.000000,,65.0,65.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n760,XAI,EthicalML/xai,,interpretability,https://github.com/EthicalML/xai,https://github.com/EthicalML/xai,MIT,2019-01-11 20:00:09.000000,2019-10-05 10:34:58.000000,2019-10-05 10:34:50.000000,82,4.0,3.0,563,83.0,XAI - An eXplainability toolbox for machine learning.,2.0,16,False,2019-01-13 21:24:01.000000,0.0.4,4.0,xai,,,,,16.0,10.0,https://pypi.org/project/xai,2019-01-13 21:24:01.000000,6.0,479.0,479.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n761,AlphaPy,ScottfreeLLC/AlphaPy,,hyperopt,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32.000000,2020-09-06 12:58:26.000000,2020-09-06 12:58:25.000000,116,10.0,29.0,543,407.0,\"Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost.\",3.0,16,True,2020-08-29 18:48:20.000000,2.5.0,24.0,alphapy,,,,,2.0,2.0,https://pypi.org/project/alphapy,2020-08-25 23:33:42.000000,,76.0,76.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n762,Tensor Sensor,parrt/tensor-sensor,,pytorch-utils,https://github.com/parrt/tensor-sensor,https://github.com/parrt/tensor-sensor,MIT,2020-08-28 22:54:04.000000,2021-01-07 00:40:37.000000,2021-01-07 00:40:31.000000,24,4.0,12.0,511,155.0,The goal of this library is to generate more helpful exception messages for numpy/pytorch matrix algebra expressions.,2.0,16,True,2020-12-03 20:46:15.000000,0.1.1,33.0,tensor-sensor,,,,['pytorch'],1.0,1.0,https://pypi.org/project/tensor-sensor,2020-12-03 20:40:56.000000,,158.0,158.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n763,Auto Tune Models,HDI-Project/ATM,,hyperopt,https://github.com/HDI-Project/ATM,https://github.com/HDI-Project/ATM,MIT,2016-10-14 18:03:00.000000,2020-02-21 17:44:07.000000,2020-02-21 17:40:58.000000,122,17.0,71.0,503,775.0,\"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).\",16.0,16,True,2019-07-30 09:28:26.000000,0.2.2,13.0,atm,,,,,6.0,6.0,https://pypi.org/project/atm,2019-06-24 13:31:28.000000,,34.0,34.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n764,Performer Pytorch,lucidrains/performer-pytorch,,pytorch-utils,https://github.com/lucidrains/performer-pytorch,https://github.com/lucidrains/performer-pytorch,MIT,2020-10-03 03:41:36.000000,2021-01-17 01:23:12.000000,2021-01-17 01:22:36.000000,62,17.0,32.0,478,,\"An implementation of Performer, a linear attention-based transformer, in Pytorch.\",4.0,16,True,2021-01-17 01:23:12.000000,0.15.0,61.0,performer-pytorch,,,,['pytorch'],8.0,8.0,https://pypi.org/project/performer-pytorch,2021-01-17 01:23:12.000000,,765.0,765.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n765,tcav,tensorflow/tcav,,interpretability,https://github.com/tensorflow/tcav,https://github.com/tensorflow/tcav,Apache-2.0,2018-07-03 17:45:35.000000,2021-01-11 22:12:58.000000,2020-07-14 17:14:43.000000,97,2.0,40.0,432,144.0,Code for the TCAV ML interpretability project.,16.0,16,True,2019-06-10 18:29:51.000000,0.2.1,3.0,tcav,,,,['tensorflow'],7.0,6.0,https://pypi.org/project/tcav,2019-06-10 18:29:51.000000,1.0,34.0,34.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n766,lightly,lightly-ai/lightly,,image,https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000000,2021-01-28 14:28:16.000000,2021-01-19 08:30:43.000000,20,25.0,22.0,401,310.0,A python library for self-supervised learning on images.,5.0,16,True,2021-01-11 11:30:44.000000,1.0.8,11.0,lightly,,,,['pytorch'],2.0,2.0,https://pypi.org/project/lightly,2021-01-11 11:34:22.000000,,150.0,150.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n767,tfdeploy,riga/tfdeploy,,model-serialisation,https://github.com/riga/tfdeploy,https://github.com/riga/tfdeploy,BSD-3-Clause,2016-03-07 13:08:21.000000,2021-01-08 09:52:54.000000,2021-01-08 09:52:49.000000,38,10.0,23.0,346,170.0,Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.,4.0,16,True,2017-03-30 10:51:26.000000,0.4.2,22.0,tfdeploy,,,,['tensorflow'],2.0,,https://pypi.org/project/tfdeploy,2017-03-30 10:51:26.000000,2.0,46.0,46.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n768,pdvega,altair-viz/pdvega,,data-viz,https://github.com/altair-viz/pdvega,https://github.com/altair-viz/pdvega,MIT,2018-01-11 21:30:27.000000,2019-03-29 16:09:14.000000,2019-03-29 16:09:13.000000,28,16.0,10.0,339,177.0,Interactive plotting for Pandas using Vega-Lite.,9.0,16,False,,,1.0,pdvega,,,,,49.0,47.0,https://pypi.org/project/pdvega,2018-02-01 04:56:43.000000,2.0,64.0,64.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n769,datmo,datmo/datmo,,ml-experiments,https://github.com/datmo/datmo,https://github.com/datmo/datmo,MIT,2017-11-03 05:46:43.000000,2019-11-29 00:48:45.000000,2019-11-29 00:48:44.000000,28,42.0,149.0,334,1051.0,Open source production model management tool for data scientists.,6.0,16,False,2018-12-07 06:01:12.000000,0.0.40,41.0,datmo,,,,,5.0,5.0,https://pypi.org/project/datmo,2018-12-07 06:16:42.000000,,47.0,47.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n770,pytorch_geometric_temporal,benedekrozemberczki/pytorch_geometric_temporal,,graph,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,MIT,2020-06-27 01:11:33.000000,2021-01-14 18:53:52.000000,2021-01-14 18:46:30.000000,37,1.0,15.0,333,794.0,A Temporal Extension Library for PyTorch Geometric.,3.0,16,True,2021-01-14 18:53:52.000000,_00012,12.0,torch-geometric-temporal,,,,['pytorch'],,,https://pypi.org/project/torch-geometric-temporal,2021-01-14 18:50:08.000000,,108.0,108.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n771,Case Recommender,caserec/CaseRecommender,,recommender-systems,https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39.000000,2020-05-26 22:44:05.000000,2020-05-26 22:44:05.000000,66,6.0,16.0,311,201.0,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems.,10.0,16,True,2019-08-20 13:38:02.000000,1.1.0,40.0,caserecommender,,,,['sklearn'],6.0,6.0,https://pypi.org/project/caserecommender,2019-08-20 13:42:28.000000,,67.0,67.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n772,VizSeq,facebookresearch/vizseq,,nlp,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38.000000,2020-12-13 18:55:58.000000,2020-12-13 18:55:54.000000,39,7.0,8.0,309,43.0,\"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).\",3.0,16,True,2020-08-07 01:13:52.000000,0.1.15,16.0,vizseq,,,,,1.0,1.0,https://pypi.org/project/vizseq,2020-08-07 01:13:52.000000,,48.0,48.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n773,Vulkan Kompute,EthicalML/vulkan-kompute,,gpu-utilities,https://github.com/EthicalML/vulkan-kompute,https://github.com/EthicalML/vulkan-kompute,Apache-2.0,2020-07-29 05:23:33.000000,2021-01-28 08:33:57.000000,2021-01-26 17:52:39.000000,17,44.0,45.0,296,538.0,\"General purpose GPU compute framework for cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast,..\",9.0,16,True,2020-11-14 08:59:29.000000,0.5.1,9.0,kp,,,,,1.0,1.0,https://pypi.org/project/kp,2020-11-11 19:39:35.000000,,85.0,90.0,,,,,,,,3.0,29.0,,,,,,,,,,,,,,,,,,,,,,\n774,Headliner,as-ideas/headliner,,nlp,https://github.com/as-ideas/headliner,https://github.com/as-ideas/headliner,MIT,2019-09-30 11:33:28.000000,2021-01-28 09:18:33.000000,2020-02-14 09:03:27.000000,37,1.0,13.0,219,276.0,Easy training and deployment of seq2seq models.,2.0,16,True,2020-01-24 09:06:29.000000,1.0.2,30.0,headliner,,,,,4.0,3.0,https://pypi.org/project/headliner,2020-01-24 09:06:29.000000,1.0,101.0,101.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n775,Muda,bmcfee/muda,,audio,https://github.com/bmcfee/muda,https://github.com/bmcfee/muda,ISC,2014-11-07 21:21:22.000000,2020-09-01 19:21:10.000000,2020-07-20 20:00:17.000000,30,5.0,44.0,174,291.0,A library for augmenting annotated audio data.,6.0,16,True,2019-11-15 15:46:21.000000,0.4.1,11.0,muda,,,,,9.0,8.0,https://pypi.org/project/muda,2019-11-15 15:46:21.000000,1.0,56.0,56.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n776,elegy,poets-ai/elegy,,ml-frameworks,https://github.com/poets-ai/elegy,https://github.com/poets-ai/elegy,Apache-2.0,2020-06-30 14:00:37.000000,2021-01-28 03:07:32.000000,2021-01-22 14:41:11.000000,10,15.0,35.0,154,258.0,Elegy is a Neural Networks framework based on Jax and inspired by Keras.,12.0,16,True,2020-12-17 15:44:27.000000,0.3.0,15.0,elegy,,,,\"['tensorflow', 'jax']\",,,https://pypi.org/project/elegy,2020-12-17 15:41:58.000000,,116.0,116.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n777,model-card-toolkit,tensorflow/model-card-toolkit,,interpretability,https://github.com/tensorflow/model-card-toolkit,https://github.com/tensorflow/model-card-toolkit,Apache-2.0,2020-07-24 16:48:58.000000,2021-01-27 22:52:11.000000,2021-01-27 22:52:00.000000,24,9.0,2.0,154,87.0,a tool that leverages rich metadata and lineage information in MLMD to build a model card.,7.0,16,True,2021-01-27 22:23:56.000000,0.1.2,3.0,model-card-toolkit,,,,,1.0,1.0,https://pypi.org/project/model-card-toolkit,2021-01-27 22:00:16.000000,,88.0,88.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n778,imodels,csinva/imodels,,interpretability,https://github.com/csinva/imodels,https://github.com/csinva/imodels,MIT,2019-07-04 15:38:48.000000,2021-01-28 04:45:03.000000,2021-01-28 00:53:26.000000,14,,8.0,147,196.0,\"Interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible).\",3.0,16,False,2021-01-05 20:25:35.000000,0.2.6,6.0,imodels,,,,,6.0,6.0,https://pypi.org/project/imodels,2020-12-30 00:06:42.000000,,72.0,72.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n779,steppy,minerva-ml/steppy,,ml-experiments,https://github.com/minerva-ml/steppy,https://github.com/minerva-ml/steppy,MIT,2018-01-15 09:40:49.000000,2018-11-23 09:49:59.000000,2018-11-23 09:47:34.000000,31,16.0,50.0,126,69.0,\"Lightweight, Python library for fast and reproducible experimentation.\",5.0,16,False,2018-11-23 09:49:59.000000,0.1.16,16.0,steppy,,,,,43.0,38.0,https://pypi.org/project/steppy,2018-11-23 09:49:59.000000,5.0,41.0,41.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n780,ipyexperiments,stas00/ipyexperiments,,gpu-utilities,https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40.000000,2021-01-20 19:36:46.000000,2021-01-20 19:36:41.000000,9,,4.0,123,180.0,jupyter/ipython experiment containers for GPU and general RAM re-use.,3.0,16,False,2020-11-16 07:08:34.000000,0.1.22,21.0,ipyexperiments,,,,['jupyter'],4.0,2.0,https://pypi.org/project/ipyexperiments,2020-11-17 04:10:43.000000,2.0,34.0,34.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n781,dabl,amueller/dabl,,sklearn-utils,https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49.000000,2021-01-11 23:09:14.000000,2020-07-08 16:14:41.000000,7,1.0,,64,252.0,Data Analysis Baseline Library.,18.0,16,False,2020-02-04 18:25:16.000000,0.1.9,10.0,dabl,,,,['sklearn'],,,https://pypi.org/project/dabl,2020-09-25 18:14:54.000000,,1808.0,1808.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n782,tinygrad,geohot/tinygrad,,pytorch-utils,https://github.com/geohot/tinygrad,https://github.com/geohot/tinygrad,MIT,2020-10-18 16:23:12.000000,2021-01-25 15:56:24.000000,2021-01-05 15:56:17.000000,445,14.0,62.0,4048,509.0,You like pytorch? You like micrograd? You love tinygrad!.,42.0,15,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n783,aim,aimhubio/aim,,ml-experiments,https://github.com/aimhubio/aim,https://github.com/aimhubio/aim,Apache-2.0,2019-05-31 18:25:07.000000,2021-01-21 18:25:20.000000,2021-01-21 18:25:18.000000,46,19.0,25.0,818,,\"Aim a super-easy way to record, search and compare 1000s of ML training runs.\",8.0,15,True,2019-11-06 08:06:11.000000,3.1.0,41.0,aim,,,,,2.0,,https://pypi.org/project/aim,2021-01-07 09:21:55.000000,2.0,787.0,787.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n784,torchsde,google-research/torchsde,,pytorch-utils,https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11.000000,2021-01-05 18:30:53.000000,2021-01-05 12:06:21.000000,55,6.0,26.0,638,140.0,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,4.0,15,True,2021-01-05 18:31:38.000000,0.2.4,4.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n785,FlashTorch,MisaOgura/flashtorch,,interpretability,https://github.com/MisaOgura/flashtorch,https://github.com/MisaOgura/flashtorch,MIT,2019-03-22 13:00:57.000000,2020-12-14 23:09:26.000000,2020-05-29 14:37:29.000000,66,6.0,21.0,529,126.0,Visualization toolkit for neural networks in PyTorch! Demo --.,2.0,15,True,2020-05-29 14:39:38.000000,0.1.3,12.0,flashtorch,,,,['pytorch'],6.0,6.0,https://pypi.org/project/flashtorch,2020-05-29 14:38:32.000000,,119.0,119.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n786,PandaPy,firmai/pandapy,,data-containers,https://github.com/firmai/pandapy,https://github.com/firmai/pandapy,MIT,2020-01-15 18:21:23.000000,2020-11-12 16:18:45.000000,2020-11-12 16:18:44.000000,45,2.0,1.0,471,83.0,PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai).,3.0,15,True,2020-11-12 16:12:54.000000,zen,22.0,pandapy,,,,['pandas'],1.0,1.0,https://pypi.org/project/pandapy,2020-01-25 23:10:32.000000,,36.0,36.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n787,cuSignal,rapidsai/cusignal,,gpu-utilities,https://github.com/rapidsai/cusignal,https://github.com/rapidsai/cusignal,Apache-2.0,2019-08-22 14:27:27.000000,2021-01-28 00:00:08.000000,2021-01-26 18:20:05.000000,57,17.0,82.0,437,,GPU accelerated signal processing.,28.0,15,True,2020-12-10 21:29:50.000000,0.17.0,3.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n788,OpenRec,ylongqi/openrec,,recommender-systems,https://github.com/ylongqi/openrec,https://github.com/ylongqi/openrec,Apache-2.0,2017-11-29 16:04:40.000000,2020-11-13 17:47:17.000000,2020-02-19 07:57:17.000000,79,4.0,12.0,351,213.0,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms.,10.0,15,True,2018-11-13 17:55:55.000000,0.2.5,11.0,openrec,,,,,2.0,1.0,https://pypi.org/project/openrec,2019-09-11 20:21:21.000000,1.0,13.0,13.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n789,Pywick,achaiah/pywick,,pytorch-utils,https://github.com/achaiah/pywick,https://github.com/achaiah/pywick,MIT,2019-03-25 15:42:47.000000,2020-11-17 16:44:11.000000,2020-09-24 19:20:06.000000,35,2.0,9.0,311,109.0,High-level batteries-included neural network training library for Pytorch.,4.0,15,True,2020-01-20 22:14:21.000000,0.5.6,6.0,pywick,,,,['pytorch'],2.0,2.0,https://pypi.org/project/pywick,2020-01-20 22:14:21.000000,,138.0,138.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n790,Parfit,jmcarpenter2/parfit,,hyperopt,https://github.com/jmcarpenter2/parfit,https://github.com/jmcarpenter2/parfit,MIT,2017-11-22 20:17:51.000000,2020-04-04 19:26:44.000000,2020-04-04 19:26:37.000000,25,5.0,5.0,197,127.0,\"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..\",2.0,15,True,,,23.0,parfit,,,,['sklearn'],7.0,7.0,https://pypi.org/project/parfit,2018-10-11 22:03:16.000000,,3921.0,3921.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n791,NeuralQA,victordibia/neuralqa,,nlp,https://github.com/victordibia/neuralqa,https://github.com/victordibia/neuralqa,MIT,2020-05-19 03:55:56.000000,2020-12-16 17:42:12.000000,2020-12-16 17:41:37.000000,23,18.0,8.0,182,312.0,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,3.0,15,True,,,26.0,neuralqa,,,,,2.0,2.0,https://pypi.org/project/neuralqa,2020-07-29 16:39:37.000000,,25.0,25.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n792,pyRDF2Vec,IBCNServices/pyRDF2Vec,,graph,https://github.com/IBCNServices/pyRDF2Vec,https://github.com/IBCNServices/pyRDF2Vec,MIT,2019-06-13 11:36:12.000000,2021-01-28 15:13:11.000000,2021-01-28 14:45:35.000000,15,5.0,20.0,80,690.0,Python Implementation and Extension of RDF2Vec.,5.0,15,False,2020-11-02 15:07:48.000000,0.1.1,7.0,pyrdf2vec,,,,,,,https://pypi.org/project/pyrdf2vec,2020-11-02 15:05:32.000000,,56.0,56.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n793,contextual-ai,SAP/contextual-ai,,interpretability,https://github.com/SAP/contextual-ai,https://github.com/SAP/contextual-ai,Apache-2.0,2020-05-12 07:15:56.000000,2021-01-25 04:56:57.000000,2021-01-25 04:03:23.000000,9,4.0,1.0,66,621.0,\"Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference -..\",10.0,15,False,2021-01-25 04:56:57.000000,0.0.2,2.0,contextual-ai,,,,,,,https://pypi.org/project/contextual-ai,2021-01-25 04:56:57.000000,,87.0,87.0,,,,,,,,3.0,,,2.0,,,,,,,,,,,,,,,,,,,,\n794,DE⫶TR,facebookresearch/detr,,image,https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52.000000,2021-01-16 14:33:22.000000,2020-11-15 16:03:45.000000,884,61.0,213.0,6016,41.0,End-to-End Object Detection with Transformers.,19.0,14,True,2020-06-29 16:41:01.000000,0.2,1.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n795,PySlowFast,facebookresearch/SlowFast,,image,https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26.000000,2021-01-25 23:47:33.000000,2021-01-25 21:51:22.000000,619,159.0,184.0,3305,98.0,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,19.0,14,True,,,,,,,,['pytorch'],2.0,2.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n796,OpenNRE,thunlp/OpenNRE,,nlp,https://github.com/thunlp/OpenNRE,https://github.com/thunlp/OpenNRE,MIT,2017-02-26 07:37:12.000000,2021-01-15 02:29:36.000000,2020-11-24 06:37:04.000000,855,19.0,285.0,2950,135.0,An Open-Source Package for Neural Relation Extraction (NRE).,9.0,14,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n797,Euler,alibaba/euler,,graph,https://github.com/alibaba/euler,https://github.com/alibaba/euler,Apache-2.0,2019-01-10 06:32:32.000000,2020-07-29 05:53:02.000000,2020-07-29 05:53:01.000000,501,200.0,97.0,2482,8.0,A distributed graph deep learning framework.,5.0,14,True,2020-07-07 02:24:18.000000,2.0.0,2.0,euler-gl,,,,['tensorflow'],,,https://pypi.org/project/euler-gl,2019-04-10 01:53:45.000000,,4.0,4.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n798,ENAS,carpedm20/ENAS-pytorch,,hyperopt,https://github.com/carpedm20/ENAS-pytorch,https://github.com/carpedm20/ENAS-pytorch,Apache-2.0,2018-02-15 04:54:37.000000,2020-12-09 18:13:03.000000,2020-06-16 07:23:32.000000,446,37.0,7.0,2375,53.0,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,6.0,14,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n799,GraphSAGE,williamleif/GraphSAGE,,graph,https://github.com/williamleif/GraphSAGE,https://github.com/williamleif/GraphSAGE,MIT,2017-05-29 15:36:22.000000,2021-01-25 06:35:22.000000,2018-09-19 19:27:00.000000,613,85.0,58.0,2129,59.0,Representation learning on large graphs using stochastic graph convolutions.,9.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n800,ZhuSuan,thu-ml/zhusuan,,probabilistics,https://github.com/thu-ml/zhusuan,https://github.com/thu-ml/zhusuan,MIT,2016-07-18 13:31:38.000000,2020-01-09 14:51:27.000000,2019-08-05 10:00:04.000000,377,8.0,53.0,2003,439.0,\"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.\",20.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n801,GraphEmbedding,shenweichen/GraphEmbedding,,graph,https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20.000000,2020-10-18 09:32:47.000000,2020-10-18 09:32:47.000000,547,27.0,13.0,1757,28.0,Implementation and experiments of graph embedding algorithms.,6.0,14,True,,,,,,,,['sklearn'],7.0,7.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n802,pycls,facebookresearch/pycls,,image,https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17.000000,2021-01-14 21:14:56.000000,2021-01-14 21:14:50.000000,150,10.0,44.0,1425,72.0,\"Codebase for Image Classification Research, written in PyTorch.\",9.0,14,True,2020-04-15 19:33:22.000000,0.1,1.0,,,,,['pytorch'],2.0,2.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n803,OpenNE,thunlp/OpenNE,,graph,https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20.000000,2020-11-30 14:02:23.000000,2019-08-12 10:56:27.000000,440,50.0,81.0,1397,98.0,An Open-Source Package for Network Embedding (NE).,10.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n804,MedicalTorch,perone/medicaltorch,,medical-data,https://github.com/perone/medicaltorch,https://github.com/perone/medicaltorch,Apache-2.0,2018-02-27 02:50:07.000000,2020-09-30 13:21:57.000000,2019-08-15 10:03:51.000000,106,14.0,9.0,706,55.0,A medical imaging framework for Pytorch.,7.0,14,False,2018-11-24 00:33:11.000000,0.2,2.0,medicaltorch,,,,['pytorch'],9.0,9.0,https://pypi.org/project/medicaltorch,2018-11-24 00:29:36.000000,,127.0,127.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n805,Translate,pytorch/translate,,nlp,https://github.com/pytorch/translate,https://github.com/pytorch/translate,BSD-3-Clause,2018-04-24 16:44:04.000000,2020-12-29 05:05:10.000000,2020-12-29 05:05:03.000000,158,66.0,27.0,677,803.0,Translate - a PyTorch Language Library.,84.0,14,True,,,1.0,pytorch-translate,,,,['pytorch'],,,https://pypi.org/project/pytorch-translate,2018-05-01 19:59:40.000000,,2.0,2.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n806,Anchor,marcotcr/anchor,,interpretability,https://github.com/marcotcr/anchor,https://github.com/marcotcr/anchor,BSD-2-Clause,2018-02-02 23:38:50.000000,2020-09-10 17:49:26.000000,2020-09-10 17:48:28.000000,88,11.0,45.0,618,39.0,Code for High-Precision Model-Agnostic Explanations paper.,8.0,14,True,,,8.0,anchor_exp,,,,,,,https://pypi.org/project/anchor_exp,2020-06-26 20:56:50.000000,,408.0,408.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n807,AutoGL,THUMNLab/AutoGL,,graph,https://github.com/THUMNLab/AutoGL,https://github.com/THUMNLab/AutoGL,MIT,2020-11-30 14:26:22.000000,2021-01-17 09:12:44.000000,2020-12-29 10:32:05.000000,53,4.0,2.0,577,,An autoML framework & toolkit for machine learning on graphs.,4.0,14,True,2020-12-23 08:15:15.000000,0.1.1,2.0,auto-graph-learning,,,,['pytorch'],,,https://pypi.org/project/auto-graph-learning,2020-12-23 08:05:25.000000,,75.0,75.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n808,zenml,maiot-io/zenml,,data-pipelines,https://github.com/maiot-io/zenml,https://github.com/maiot-io/zenml,Apache-2.0,2020-11-19 09:25:46.000000,2021-01-28 12:28:42.000000,2021-01-28 07:50:37.000000,28,1.0,3.0,467,,ZenML: Bring Zen to your ML with reproducible pipelines.,7.0,14,True,2021-01-22 16:21:33.000000,0.2.0,12.0,zenml,,,,,1.0,1.0,https://pypi.org/project/zenml,2021-01-22 16:21:33.000000,,147.0,147.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n809,Tez,abhishekkrthakur/tez,,pytorch-utils,https://github.com/abhishekkrthakur/tez,https://github.com/abhishekkrthakur/tez,Apache-2.0,2020-11-13 10:19:22.000000,2021-01-27 15:42:10.000000,2021-01-25 16:49:31.000000,53,8.0,6.0,412,,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,1.0,14,True,2021-01-24 11:12:26.000000,0.1.1,8.0,tez,,,,['pytorch'],,,https://pypi.org/project/tez,2021-01-24 11:12:26.000000,,877.0,877.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n810,TransferNLP,feedly/transfer-nlp,,nlp,https://github.com/feedly/transfer-nlp,https://github.com/feedly/transfer-nlp,MIT,2019-03-12 20:00:31.000000,2020-05-28 19:00:02.000000,2020-05-28 17:31:53.000000,18,4.0,19.0,285,465.0,NLP library designed for reproducible experimentation management.,7.0,14,True,2020-05-28 19:00:02.000000,0.1.6,8.0,transfer-nlp,,,,['pytorch'],,,https://pypi.org/project/transfer-nlp,2020-05-28 19:00:02.000000,,41.0,41.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n811,Julius,adefossez/julius,,audio,https://github.com/adefossez/julius,https://github.com/adefossez/julius,MIT,2020-10-26 10:54:21.000000,2021-01-26 11:59:07.000000,2021-01-26 11:59:06.000000,6,,3.0,168,,Fast PyTorch based DSP for audio and 1D signals.,2.0,14,True,2021-01-26 11:45:37.000000,0.2.2,6.0,julius,,,,['pytorch'],3.0,3.0,https://pypi.org/project/julius,2021-01-26 11:45:37.000000,,333.0,333.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n812,textvec,textvec/textvec,,nlp,https://github.com/textvec/textvec,https://github.com/textvec/textvec,MIT,2018-04-12 14:03:53.000000,2020-12-03 14:23:11.000000,2020-12-03 14:23:04.000000,21,2.0,6.0,155,70.0,Text vectorization tool to outperform TFIDF for classification tasks.,5.0,14,True,2019-09-12 07:41:04.000000,2.0,4.0,textvec,,,,['sklearn'],2.0,2.0,https://pypi.org/project/textvec,2020-12-03 14:17:09.000000,,61.0,61.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n813,ModelChimp,ModelChimp/modelchimp,,ml-experiments,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03.000000,2021-01-28 11:50:54.000000,2021-01-15 13:54:13.000000,11,4.0,10.0,120,360.0,Experiment tracking for machine and deep learning projects.,3.0,14,False,2019-04-09 10:43:15.000000,0.4.0,37.0,modelchimp,,modelchimp/modelchimp-server,,,,,https://pypi.org/project/modelchimp,2019-04-09 10:41:20.000000,,36.0,60.0,,,,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,634.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n814,DeepNeuro,QTIM-Lab/DeepNeuro,,medical-data,https://github.com/QTIM-Lab/DeepNeuro,https://github.com/QTIM-Lab/DeepNeuro,MIT,2017-06-01 19:36:34.000000,2020-06-24 13:00:15.000000,2020-06-24 13:00:14.000000,30,25.0,16.0,99,285.0,A deep learning python package for neuroimaging data. Made by:.,6.0,14,False,2019-04-11 16:57:02.000000,0.2.2,5.0,deepneuro,,,,,1.0,1.0,https://pypi.org/project/deepneuro,2019-04-11 16:57:02.000000,,32.0,32.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n815,nptsne,biovault/nptsne,,data-viz,https://github.com/biovault/nptsne,https://github.com/biovault/nptsne,Apache-2.0,2019-06-28 08:40:25.000000,2020-11-16 13:56:05.000000,2020-11-13 16:38:47.000000,2,7.0,2.0,24,834.0,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,3.0,14,False,2020-09-10 23:54:14.000000,1.1.0,2.0,nptsne,,,,,2.0,2.0,https://pypi.org/project/nptsne,2020-09-10 23:54:14.000000,,73.0,73.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n816,StarSpace,facebookresearch/StarSpace,,ml-frameworks,https://github.com/facebookresearch/StarSpace,https://github.com/facebookresearch/StarSpace,MIT,2017-06-28 17:50:18.000000,2020-05-18 03:40:57.000000,2019-12-13 19:03:25.000000,494,50.0,146.0,3533,138.0,\"Learning embeddings for classification, retrieval and ranking.\",17.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n817,OpenKE,thunlp/OpenKE,,graph,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,MIT,2017-10-08 11:20:23.000000,2020-04-08 11:00:38.000000,2020-04-08 11:00:32.000000,737,49.0,223.0,2363,97.0,An Open-Source Package for Knowledge Embedding (KE).,10.0,13,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n818,micrograd,karpathy/micrograd,,pytorch-utils,https://github.com/karpathy/micrograd,https://github.com/karpathy/micrograd,MIT,2020-04-13 04:31:18.000000,2020-12-18 12:55:50.000000,2020-04-18 19:15:25.000000,113,2.0,3.0,1569,24.0,A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.,2.0,13,True,2020-04-18 19:06:59.000000,0.1.0,1.0,micrograd,,,,['pytorch'],,,https://pypi.org/project/micrograd,2020-04-18 19:06:59.000000,,16.0,16.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n819,Torch-Struct,harvardnlp/pytorch-struct,,pytorch-utils,https://github.com/harvardnlp/pytorch-struct,https://github.com/harvardnlp/pytorch-struct,MIT,2019-08-26 19:34:30.000000,2021-01-22 15:58:05.000000,2021-01-20 18:53:32.000000,68,13.0,22.0,881,259.0,\"Fast, general, and tested differentiable structured prediction in PyTorch.\",12.0,13,True,2019-11-25 04:08:05.000000,0.4,1.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n820,GraphVite,DeepGraphLearning/graphvite,,graph,https://github.com/DeepGraphLearning/graphvite,https://github.com/DeepGraphLearning/graphvite,Apache-2.0,2019-07-16 15:48:20.000000,2021-01-14 02:19:03.000000,2021-01-14 02:18:46.000000,116,24.0,55.0,839,15.0,GraphVite: A General and High-performance Graph Embedding System.,1.0,13,True,,,4.0,,milagraph/graphvite,,,,,,,,,,200.0,https://anaconda.org/milagraph/graphvite,2020-03-19 18:21:30.972000,3409.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n821,NeoML,neoml-lib/neoml,,ml-frameworks,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000000,2021-01-28 13:32:01.000000,2021-01-28 05:18:33.000000,79,16.0,13.0,560,189.0,Machine learning framework for both deep learning and traditional algorithms.,16.0,13,True,2020-06-14 17:44:03.000000,NeoML-master_1.0.1.0,1.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n822,Adversary,airbnb/artificial-adversary,,adversarial,https://github.com/airbnb/artificial-adversary,https://github.com/airbnb/artificial-adversary,MIT,2018-08-08 04:42:11.000000,2018-10-14 05:34:44.000000,2018-08-29 15:31:30.000000,47,7.0,,340,15.0,Tool to generate adversarial text examples and test machine learning models against them.,5.0,13,False,2018-08-29 15:14:41.000000,1.1.1,3.0,Adversary,,,,,6.0,6.0,https://pypi.org/project/Adversary,2018-08-29 15:14:41.000000,,16.0,16.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n823,Auptimizer,LGE-ARC-AdvancedAI/auptimizer,,hyperopt,https://github.com/LGE-ARC-AdvancedAI/auptimizer,https://github.com/LGE-ARC-AdvancedAI/auptimizer,GPL-3.0,2019-09-12 01:08:37.000000,2020-12-04 01:00:53.000000,2020-12-04 00:51:11.000000,20,,4.0,157,68.0,An automatic ML model optimization tool.,11.0,13,False,2020-11-19 05:14:22.000000,1.4,6.0,auptimizer,,,,,,,https://pypi.org/project/auptimizer,2020-11-19 00:23:49.000000,,25.0,25.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n824,nx-altair,Zsailer/nx_altair,,data-viz,https://github.com/Zsailer/nx_altair,https://github.com/Zsailer/nx_altair,MIT,2018-05-13 00:10:12.000000,2020-09-30 12:01:08.000000,2020-06-02 21:10:26.000000,19,4.0,4.0,155,51.0,Draw interactive NetworkX graphs with Altair.,3.0,13,True,2020-06-02 21:11:12.000000,0.1.6,8.0,nx-altair,,,,['jupyter'],2.0,,https://pypi.org/project/nx-altair,2020-06-02 21:11:12.000000,2.0,126.0,126.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n825,ONNX-T5,abelriboulot/onnxt5,,nlp,https://github.com/abelriboulot/onnxt5,https://github.com/abelriboulot/onnxt5,Apache-2.0,2020-08-01 09:38:35.000000,2021-01-28 09:24:53.000000,2021-01-28 09:24:52.000000,18,3.0,6.0,135,74.0,\"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..\",3.0,13,False,2021-01-28 09:24:24.000000,0.1.9,10.0,onnxt5,,,,,,,https://pypi.org/project/onnxt5,2020-09-02 11:22:09.000000,,136.0,136.0,,,,,,,,3.0,,,2.0,,,,,,,,,,,,,,,,,,,,\n826,Hypermax,electricbrainio/hypermax,,hyperopt,https://github.com/electricbrainio/hypermax,https://github.com/electricbrainio/hypermax,BSD-3-Clause,2018-07-27 18:43:01.000000,2020-08-02 18:08:50.000000,2020-08-02 18:08:46.000000,15,3.0,1.0,95,207.0,\"Better, faster hyper-parameter optimization.\",9.0,13,False,2019-10-23 15:40:12.000000,0.5.1,11.0,hypermax,,,,,4.0,4.0,https://pypi.org/project/hypermax,2019-10-23 15:40:12.000000,,13.0,13.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n827,Medical Detection Toolkit,MIC-DKFZ/medicaldetectiontoolkit,,medical-data,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,Apache-2.0,2018-10-12 12:34:57.000000,2020-10-14 11:17:37.000000,2020-04-18 12:52:08.000000,233,27.0,85.0,897,36.0,\"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..\",3.0,12,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n828,LazyCluster,ml-tooling/lazycluster,,distributed-ml,https://github.com/ml-tooling/lazycluster,https://github.com/ml-tooling/lazycluster,Apache-2.0,2019-08-07 08:05:13.000000,2021-01-06 15:20:04.000000,2020-12-14 15:24:53.000000,5,,,33,,Distributed machine learning made simple.,2.0,12,False,2020-12-14 15:25:59.000000,0.2.4,5.0,lazycluster,,,,,2.0,2.0,https://pypi.org/project/lazycluster,2020-12-14 14:49:33.000000,,64.0,64.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n829,featurewiz,AutoViML/featurewiz,,hyperopt,https://github.com/AutoViML/featurewiz,https://github.com/AutoViML/featurewiz,Apache-2.0,2020-11-29 16:46:16.000000,2021-01-22 22:38:34.000000,2021-01-22 22:13:20.000000,9,,,19,,Use advanced feature engineering strategies and select the best features from your data set fast with a single line of..,,12,False,2021-01-22 22:38:34.000000,0.0.16,16.0,featurewiz,,,,,,,https://pypi.org/project/featurewiz,2021-01-22 22:38:34.000000,,196.0,196.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n830,surpriver,tradytics/surpriver,,financial-data,https://github.com/tradytics/surpriver,https://github.com/tradytics/surpriver,GPL-3.0,2020-08-30 07:56:22.000000,2020-11-13 00:48:16.000000,2020-09-21 04:32:05.000000,191,7.0,4.0,1062,64.0,Find big moving stocks before they move using machine learning and anomaly detection.,6.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n831,MedicalNet,Tencent/MedicalNet,,medical-data,https://github.com/Tencent/MedicalNet,https://github.com/Tencent/MedicalNet,MIT,2019-07-17 09:53:10.000000,2020-08-27 13:37:27.000000,2020-08-27 13:37:26.000000,282,43.0,14.0,1045,26.0,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,1.0,11,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n832,Devol,joeddav/devol,,hyperopt,https://github.com/joeddav/devol,https://github.com/joeddav/devol,MIT,2017-02-10 03:07:54.000000,2020-07-05 21:56:59.000000,2020-07-05 21:56:58.000000,109,7.0,20.0,923,116.0,Genetic neural architecture search with Keras.,18.0,11,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n833,PySparNN,facebookresearch/pysparnn,,nn-search,https://github.com/facebookresearch/pysparnn,https://github.com/facebookresearch/pysparnn,BSD-3-Clause,2016-03-28 20:43:42.000000,2020-10-02 06:01:01.000000,2018-01-31 16:50:23.000000,141,11.0,14.0,844,147.0,Approximate Nearest Neighbor Search for Sparse Data in Python!.,5.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n834,Attribution Priors,suinleelab/attributionpriors,,interpretability,https://github.com/suinleelab/attributionpriors,https://github.com/suinleelab/attributionpriors,MIT,2019-06-24 23:54:24.000000,2020-09-12 05:57:02.000000,2020-09-12 05:56:51.000000,3,1.0,3.0,74,64.0,Tools for training explainable models using attribution priors.,6.0,11,False,2019-07-18 21:13:37.000000,0.1.3,4.0,attributionpriors,,,,\"['tensorflow', 'pytorch']\",,,https://pypi.org/project/attributionpriors,2019-10-31 18:03:05.000000,,10.0,10.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n835,traingenerator,jrieke/traingenerator,,others,https://github.com/jrieke/traingenerator,https://github.com/jrieke/traingenerator,MIT,2020-12-03 16:47:16.000000,2021-01-26 22:17:16.000000,2021-01-20 23:05:06.000000,111,9.0,1.0,905,,A web app to generate template code for machine learning.,3.0,10,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n836,Mozart,aashrafh/Mozart,,ocr,https://github.com/aashrafh/Mozart,https://github.com/aashrafh/Mozart,Apache-2.0,2020-12-14 11:49:14.000000,2021-01-14 17:13:59.000000,2021-01-14 17:13:58.000000,33,1.0,1.0,217,,An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.,5.0,10,True,,,,,,,,['sklearn'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,True\n837,Hypertunity,gdikov/hypertunity,,hyperopt,https://github.com/gdikov/hypertunity,https://github.com/gdikov/hypertunity,Apache-2.0,2019-06-02 12:04:55.000000,2020-01-26 23:14:49.000000,2020-01-26 22:53:29.000000,9,,2.0,119,64.0,A toolset for black-box hyperparameter optimisation.,2.0,10,False,2020-01-26 23:08:16.000000,1.0.1,7.0,hypertunity,,,,,2.0,2.0,https://pypi.org/project/hypertunity,2020-01-26 23:08:16.000000,,9.0,9.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n838,traintool,jrieke/traintool,,ml-experiments,https://github.com/jrieke/traintool,https://github.com/jrieke/traintool,Apache-2.0,2020-09-30 22:23:05.000000,2020-11-18 02:51:43.000000,2020-11-18 02:50:52.000000,1,,,9,120.0,Train off-the-shelf machine learning models in one line of code.,,10,False,2020-11-02 02:25:32.000000,0.0.3,3.0,traintool,,,,\"['pytorch', 'tensorflow', 'sklearn']\",,,https://pypi.org/project/traintool,2020-11-02 02:25:32.000000,,11.0,11.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n"
  },
  {
    "path": "history/2021-02-04_changes.md",
    "content": "## 📈 Trending Up\n\n_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._\n\n- <b><a href=\"https://github.com/mozilla/DeepSpeech\">DeepSpeech</a></b> (🥇31 ·  ⭐ 16K · 📈) - DeepSpeech is an open source embedded (offline, on-.. <code><a href=\"http://bit.ly/3postzC\">MPL-2.0</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/PaddlePaddle/Paddle\">PaddlePaddle</a></b> (🥈30 ·  ⭐ 14K · 📈) - PArallel Distributed Deep LEarning: Machine Learning.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1M\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/lmcinnes/umap\">UMAP</a></b> (🥈30 ·  ⭐ 4.5K · 📈) - Uniform Manifold Approximation and Projection. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/scikit-learn-contrib/hdbscan\">hdbscan</a></b> (🥇28 ·  ⭐ 1.8K · 📈) - A high performance implementation of HDBSCAN clustering. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/simonw/datasette\">Datasette</a></b> (🥈27 ·  ⭐ 4.6K · 📈) - An open source multi-tool for exploring and publishing data. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/nmslib/hnswlib\">hnswlib</a></b> (🥈26 ·  ⭐ 1.3K · 📈) - Header-only C++/python library for fast approximate nearest.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/lmcinnes/pynndescent\">PyNNDescent</a></b> (🥉23 ·  ⭐ 370 · 📈) - A Python nearest neighbor descent for approximate nearest.. <code><a href=\"http://bit.ly/3rqEWVr\">BSD-2</a></code>\n- <b><a href=\"https://github.com/mozilla/TTS\">TTS</a></b> (🥉20 ·  ⭐ 3.2K · 📈) - Deep learning for Text to Speech (Discussion forum:.. <code><a href=\"http://bit.ly/3postzC\">MPL-2.0</a></code>\n- <b><a href=\"https://github.com/google/objax\">Objax</a></b> (🥉19 ·  ⭐ 560 · 🐣) - Objax is a machine learning framework that provides an Object.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code>jax</code>\n- <b><a href=\"https://github.com/abelriboulot/onnxt5\">ONNX-T5</a></b> (🥉15 ·  ⭐ 140 · 🐣) - Summarization, translation, sentiment-analysis, text-generation.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n\n## 📉 Trending Down\n\n_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._\n\n- <b><a href=\"https://github.com/martinblech/xmltodict\">xmltodict</a></b> (🥈30 ·  ⭐ 4.3K · 💤) - Python module that makes working with XML feel like you are.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/stan-dev/pystan\">PyStan</a></b> (🥉24 ·  ⭐ 910 · 📉) - Temporary home for PyStan version 3. Documentation: https://pystan-.. <code><a href=\"http://bit.ly/3hkKRql\">ISC</a></code>\n- <b><a href=\"https://github.com/dask/dask-ml\">dask-ml</a></b> (🥈24 ·  ⭐ 680 · 📉) - Scalable Machine Learning with Dask. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/rwightman/gen-efficientnet-pytorch\">EfficientNets</a></b> (🥈20 ·  ⭐ 1.2K · 📉) - Pretrained EfficientNet, EfficientNet-Lite, MixNet,.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/AxeldeRomblay/MLBox\">MLBox</a></b> (🥉20 ·  ⭐ 1.2K · 📉) - MLBox is a powerful Automated Machine Learning python library. <code><a href=\"https://tldrlegal.com/search?q=BSD-1-Clause\">❗️BSD-1-Clause</a></code>\n- <b><a href=\"https://github.com/earthlab/earthpy\">EarthPy</a></b> (🥉20 ·  ⭐ 220 · 📉) - A package built to support working with spatial data using open.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/jasmcaus/caer\">Caer</a></b> (🥉19 ·  ⭐ 420 · 🐣) - A lightweight Computer Vision library. Scale your models, not boilerplate. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/PaddlePaddle/PGL\">Paddle Graph Learning</a></b> (🥉17 ·  ⭐ 890 · 📉) - Paddle Graph Learning (PGL) is an efficient and.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1M\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/lucidrains/lambda-networks\">Lambda Networks</a></b> (🥉15 ·  ⭐ 1.3K · 🐣) - Implementation of LambdaNetworks, a new approach to.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/firmai/pandapy\">PandaPy</a></b> (🥉13 ·  ⭐ 470 · 📉) - PandaPy has the speed of NumPy and the usability of Pandas 10x to.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1S\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n\n"
  },
  {
    "path": "history/2021-02-04_projects.csv",
    "content": ",name,github_id,resource,category,github_url,homepage,license,created_at,updated_at,last_commit_pushed_at,fork_count,open_issue_count,closed_issue_count,star_count,commit_count,description,contributor_count,projectrank,show,latest_stable_release_published_at,latest_stable_release_number,release_count,pypi_id,conda_id,dockerhub_id,docs_url,labels,dependent_project_count,github_dependent_project_count,pypi_url,pypi_latest_release_published_at,pypi_dependent_project_count,pypi_monthly_downloads,monthly_downloads,conda_url,conda_latest_release_published_at,conda_total_downloads,dockerhub_url,dockerhub_latest_release_published_at,dockerhub_stars,dockerhub_pulls,projectrank_placing,github_release_downloads,helm_id,npm_id,npm_url,npm_latest_release_published_at,npm_dependent_project_count,npm_monthly_downloads,conda_dependent_project_count,trending,brew_id,apt_id,yum_id,updated_github_id,snap_id,maven_id,maven_url,maven_latest_release_published_at,maven_dependent_project_count,dnf_id,yay_id,gitlab_id,gitlab_url\n0,ANN Benchmarks,erikbern/ann-benchmarks,True,nn-search,https://github.com/erikbern/ann-benchmarks,https://github.com/erikbern/ann-benchmarks,MIT,2015-05-28 13:21:43.000000,2021-02-03 11:59:36.000000,2021-02-03 11:59:35.000000,319,25.0,56.0,2038,1173.0,Benchmarks of approximate nearest neighbor libraries in Python.,53.0,0,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n1,best-of-web-python - Web Scraping,ml-tooling/best-of-web-python,True,web-scraping,https://github.com/ml-tooling/best-of-web-python,https://github.com/ml-tooling/best-of-web-python,CC-BY-SA-4.0,2021-01-05 13:09:27.000000,2021-02-04 15:27:15.000000,2021-01-28 16:44:42.000000,58,,2.0,989,,Collection of web-scraping and crawling libraries.,6.0,0,True,2021-01-28 16:45:07.000000,2021.01.28,6.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n2,best-of-python - DB Clients,ml-tooling/best-of-python,True,db-clients,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#database-clients,CC-BY-SA-4.0,2021-01-11 19:11:32.000000,2021-02-04 14:58:32.000000,2021-02-02 11:03:34.000000,85,,2.0,1369,,Collection of database clients for python.,4.0,0,True,2021-01-28 16:46:50.000000,2021.01.28,5.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n3,Tensorflow,tensorflow/tensorflow,,ml-frameworks,https://github.com/tensorflow/tensorflow,https://github.com/tensorflow/tensorflow,Apache-2.0,2015-11-07 01:19:20.000000,2021-02-04 13:16:22.000000,2021-02-04 13:15:15.000000,83886,4318.0,25954.0,154821,104178.0,An Open Source Machine Learning Framework for Everyone.,3519.0,44,True,2021-01-21 19:55:54.000000,2.4.1,116.0,tensorflow,conda-forge/tensorflow,tensorflow/tensorflow,https://www.tensorflow.org/overview,['tensorflow'],143216.0,120692.0,https://pypi.org/project/tensorflow,2021-01-21 19:38:00.000000,22524.0,3631483.0,4421495.0,https://anaconda.org/conda-forge/tensorflow,2020-07-15 22:30:18.070000,2287689.0,https://hub.docker.com/r/tensorflow/tensorflow,2021-02-03 17:17:31.599507,1840.0,47328055.0,1.0,,,,,,,,,,,,,,,,,,,,,,\n4,pandas,pandas-dev/pandas,,data-containers,https://github.com/pandas-dev/pandas,https://github.com/pandas-dev/pandas,BSD-3-Clause,2010-08-24 01:37:33.000000,2021-02-04 15:06:31.000000,2021-02-04 01:59:26.000000,11786,3617.0,16423.0,28372,25795.0,\"Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R..\",2580.0,42,True,2021-01-20 13:34:07.000000,1.2.1,88.0,pandas,conda-forge/pandas,,,['pandas'],455236.0,378452.0,https://pypi.org/project/pandas,2021-01-20 13:34:07.000000,76784.0,17235447.0,17479294.0,https://anaconda.org/conda-forge/pandas,2021-01-20 19:11:38.815000,13835711.0,,,,,1.0,94894.0,,,,,,,,,,,,,,,,,,,,,\n5,numpy,numpy/numpy,,data-containers,https://github.com/numpy/numpy,https://github.com/numpy/numpy,BSD-3-Clause,2010-09-13 23:02:39.000000,2021-02-04 14:58:05.000000,2021-02-03 17:14:50.000000,5234,2254.0,7277.0,16158,25414.0,The fundamental package for scientific computing with Python.,1246.0,42,True,2021-01-30 20:28:43.000000,1.20.0,95.0,numpy,conda-forge/numpy,,,,786614.0,616892.0,https://pypi.org/project/numpy,2021-01-30 19:35:22.000000,169722.0,26921650.0,27208611.0,https://anaconda.org/conda-forge/numpy,2021-02-02 12:07:05.754000,16018336.0,,,,,1.0,302881.0,,,,,,,,,,,,,,,,,,,,,\n6,Matplotlib,matplotlib/matplotlib,,data-viz,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,Python-2.0,2011-02-19 03:17:12.000000,2021-02-04 14:07:07.000000,2021-02-04 10:38:04.000000,5619,1672.0,5976.0,13065,37750.0,matplotlib: plotting with Python.,1201.0,41,True,2021-01-28 08:54:50.000000,3.3.4,62.0,matplotlib,conda-forge/matplotlib,,,,401249.0,322145.0,https://pypi.org/project/matplotlib,2021-01-28 08:34:18.000000,79104.0,6993489.0,7118178.0,https://anaconda.org/conda-forge/matplotlib,2021-01-28 20:05:11.672000,8104822.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n7,scipy,scipy/scipy,,others,https://github.com/scipy/scipy,https://github.com/scipy/scipy,BSD-3-Clause,2011-03-09 18:52:03.000000,2021-02-04 14:54:05.000000,2021-02-03 21:05:14.000000,3545,1581.0,5707.0,7883,24964.0,\"Ecosystem of open-source software for mathematics, science, and engineering.\",1115.0,40,True,2020-12-31 15:02:43.000000,1.6.0,60.0,scipy,conda-forge/scipy,,,,387242.0,300380.0,https://pypi.org/project/scipy,2020-12-31 14:30:32.000000,86862.0,10390283.0,10611161.0,https://anaconda.org/conda-forge/scipy,2021-01-12 04:49:45.843000,12330121.0,,,,,1.0,305626.0,,,,,,,,,,,,,,,,,,,,,\n8,PyTorch,pytorch/pytorch,,ml-frameworks,https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41.000000,2021-02-04 14:01:30.000000,2021-02-04 12:14:15.000000,12201,7846.0,12828.0,45992,33313.0,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,2486.0,39,True,2020-12-10 17:19:58.000000,1.7.1,30.0,torch,pytorch/pytorch,,https://pytorch.org/docs/stable/index.html,['pytorch'],68034.0,61352.0,https://pypi.org/project/torch,2020-12-10 16:22:02.000000,6682.0,1168835.0,1424833.0,https://anaconda.org/pytorch/pytorch,2020-12-10 16:11:32.801000,9983941.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n9,Pillow,python-pillow/Pillow,,image,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000000,2021-02-03 04:15:57.000000,2021-02-03 04:15:33.000000,1559,240.0,1874.0,8179,11141.0,The friendly PIL fork (Python Imaging Library).,344.0,39,True,2021-01-02 20:13:09.000000,8.1.0,77.0,Pillow,conda-forge/pillow,,,,506670.0,395244.0,https://pypi.org/project/Pillow,2021-01-02 20:11:59.000000,111426.0,9614028.0,9734183.0,https://anaconda.org/conda-forge/pillow,2021-01-11 23:44:30.126000,6968993.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n10,PySpark,apache/spark,,ml-frameworks,https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08.000000,2021-02-04 13:30:51.000000,2021-02-04 08:31:36.000000,23273,222.0,,28707,29267.0,Apache Spark Python API.,2394.0,38,True,2020-09-07 15:29:07.000000,3.0.1,21.0,pyspark,conda-forge/pyspark,,,['spark'],1318.0,558.0,https://pypi.org/project/pyspark,2020-09-07 15:29:07.000000,760.0,4667595.0,4686512.0,https://anaconda.org/conda-forge/pyspark,2020-09-07 17:29:01.440000,889132.0,,,,,1.0,,stable/spark,,,,,,,,,,,,,,,,,,,,\n11,scikit-learn,scikit-learn/scikit-learn,,ml-frameworks,https://github.com/scikit-learn/scikit-learn,https://github.com/scikit-learn/scikit-learn,BSD-3-Clause,2010-08-17 09:43:38.000000,2021-02-04 14:12:51.000000,2021-02-04 13:56:15.000000,20962,2295.0,6664.0,44444,,scikit-learn: machine learning in Python.,2139.0,37,True,2021-01-19 18:10:37.000000,0.24.1,53.0,scikit-learn,conda-forge/scikit-learn,,,['sklearn'],226489.0,188601.0,https://pypi.org/project/scikit-learn,2021-01-19 18:06:50.000000,37888.0,7242012.0,7361629.0,https://anaconda.org/conda-forge/scikit-learn,2021-01-21 23:33:46.354000,6817547.0,,,,,1.0,651.0,,,,,,,,,,,,,,,,,,,,,\n12,spaCy,explosion/spaCy,,nlp,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000000,2021-02-04 14:28:37.000000,2021-02-04 14:09:01.000000,3223,84.0,4206.0,19330,14227.0,Industrial-strength Natural Language Processing (NLP) in Python.,557.0,37,True,2021-02-02 10:55:06.000000,3.0.1,172.0,spacy,conda-forge/spacy,,,,24180.0,21114.0,https://pypi.org/project/spacy,2021-02-02 10:56:19.000000,3066.0,674356.0,703815.0,https://anaconda.org/conda-forge/spacy,2021-02-04 13:12:13.034000,1411362.0,,,,,1.0,2947.0,,,,,,,,,,,,,,,,,,,,,\n13,Celery,celery/celery,,data-pipelines,https://github.com/celery/celery,https://github.com/celery/celery,BSD-3-Clause,2009-04-24 11:31:24.000000,2021-02-03 11:08:31.000000,2021-01-23 03:34:47.000000,3940,500.0,3925.0,16649,11504.0,Asynchronous task queue/job queue based on distributed message passing.,1080.0,37,True,2020-12-16 15:41:18.000000,5.0.5,171.0,celery,conda-forge/celery,,,,76732.0,48498.0,https://pypi.org/project/celery,2020-12-16 15:34:09.000000,28234.0,1597886.0,1604361.0,https://anaconda.org/conda-forge/celery,2020-11-11 10:39:38.599000,382052.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n14,transformers,huggingface/transformers,,nlp,https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000000,2021-02-04 14:22:17.000000,2021-02-04 14:00:18.000000,9839,568.0,5320.0,40424,6474.0,Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.,774.0,36,True,2021-01-21 08:14:39.000000,4.2.2,47.0,transformers,conda-forge/transformers,,,\"['pytorch', 'tensorflow']\",7571.0,7443.0,https://pypi.org/project/transformers,2021-01-21 08:11:31.000000,128.0,532578.0,533742.0,https://anaconda.org/conda-forge/transformers,2021-01-21 12:14:11.802000,17893.0,,,,,1.0,1254.0,,,,,,,,,,,,,,,,,,,,,\n15,Faker,joke2k/faker,,data-loading,https://github.com/joke2k/faker,https://github.com/joke2k/faker,MIT,2012-11-12 23:00:09.000000,2021-02-03 21:29:43.343000,2021-02-03 17:39:49.000000,1365,134.0,352.0,12054,2549.0,Faker is a Python package that generates fake data for you.,387.0,36,True,2021-02-03 17:40:32.000000,6.0.0,118.0,Faker,conda-forge/faker,,,,27785.0,23073.0,https://pypi.org/project/Faker,2021-02-03 17:40:22.000000,4712.0,1449888.0,1457721.0,https://anaconda.org/conda-forge/faker,2021-02-03 21:29:43.343000,368167.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n16,networkx,networkx/networkx,,graph,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44.000000,2021-02-04 11:32:59.000000,2021-02-03 02:33:10.000000,2202,264.0,2303.0,8598,6409.0,Network Analysis in Python.,493.0,36,True,2020-08-22 20:10:33.000000,networkx-2.5,52.0,networkx,conda-forge/networkx,,,,86872.0,66054.0,https://pypi.org/project/networkx,2020-08-22 20:38:37.000000,20818.0,4039670.0,4096846.0,https://anaconda.org/conda-forge/networkx,2020-08-23 19:29:02.065000,2973185.0,,,,,1.0,51.0,,,,,,,,,,,,,,,,,,,,,\n17,SymPy,sympy/sympy,,others,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000000,2021-02-04 13:31:26.000000,2021-02-03 20:40:01.000000,3273,4027.0,7106.0,7790,45962.0,A computer algebra system written in pure Python.,1035.0,36,True,2020-12-12 23:23:00.000000,1.7.1,36.0,sympy,conda-forge/sympy,,,,35093.0,28671.0,https://pypi.org/project/sympy,2020-12-12 23:23:00.000000,6422.0,440397.0,467273.0,https://anaconda.org/conda-forge/sympy,2021-01-08 20:38:32.429000,1272423.0,,,,,1.0,414337.0,,,,,,,,,,,,,,,,,,,,,\n18,StatsModels,statsmodels/statsmodels,,ml-frameworks,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000000,2021-02-03 11:29:45.000000,2021-01-31 16:51:58.000000,2156,2080.0,2252.0,5973,13573.0,Statsmodels: statistical modeling and econometrics in Python.,299.0,36,True,2021-02-02 11:08:49.000000,0.12.2,25.0,statsmodels,conda-forge/statsmodels,,,,43402.0,36746.0,https://pypi.org/project/statsmodels,2021-02-02 11:08:49.000000,6656.0,2155360.0,2213728.0,https://anaconda.org/conda-forge/statsmodels,2021-02-02 14:47:17.296000,3268643.0,,,,,1.0,25.0,,,,,,,,,,,,,,,,,,,,,\n19,Tensorboard,tensorflow/tensorboard,,ml-experiments,https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000000,2021-02-04 09:22:37.000000,2021-02-04 02:22:55.000000,1357,536.0,934.0,5140,4251.0,TensorFlow's Visualization Toolkit.,250.0,36,True,2021-01-14 20:44:05.000000,2.4.1,36.0,tensorboard,conda-forge/tensorboard,,,['tensorflow'],56827.0,53213.0,https://pypi.org/project/tensorboard,2020-11-12 03:15:33.000000,3614.0,3681374.0,3722598.0,https://anaconda.org/conda-forge/tensorboard,2021-01-15 08:30:57.960000,1607767.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n20,scikit-image,scikit-image/scikit-image,,image,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,BSD-2-Clause,2011-07-07 22:07:20.000000,2021-02-04 10:49:45.000000,2021-02-02 05:06:26.000000,1727,661.0,1484.0,4176,12477.0,Image processing in Python.,480.0,36,True,2021-01-19 08:17:34.000000,0.18.1,35.0,scikit-image,conda-forge/scikit-image,,,,74839.0,60065.0,https://pypi.org/project/scikit-image,2020-12-23 06:36:46.000000,14774.0,1260226.0,1297431.0,https://anaconda.org/conda-forge/scikit-image,2021-01-21 20:53:16.554000,2120689.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n21,h5py,h5py/h5py,,data-containers,https://github.com/h5py/h5py,https://github.com/h5py/h5py,BSD-3-Clause,2012-09-21 00:40:02.000000,2021-01-31 00:03:20.000000,2021-01-31 00:00:37.000000,393,184.0,946.0,1478,3535.0,HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.,161.0,36,True,2020-11-06 14:30:54.000000,3.1.0,25.0,h5py,conda-forge/h5py,,,,124072.0,101136.0,https://pypi.org/project/h5py,2020-11-06 14:30:54.000000,22936.0,3593844.0,3670641.0,https://anaconda.org/conda-forge/h5py,2021-01-01 10:48:16.133000,4530055.0,,,,,1.0,809.0,,,,,,,,,,,,,,,,,,,,,\n22,Keras,keras-team/keras,,ml-frameworks,https://github.com/keras-team/keras,https://github.com/keras-team/keras,MIT,2015-03-28 00:35:42.000000,2021-02-04 06:09:16.000000,2021-02-04 00:42:26.000000,18720,3182.0,7230.0,50649,5389.0,Deep Learning for humans.,897.0,35,True,2020-06-24 22:40:48.000000,2.4.3,53.0,keras,conda-forge/keras,,https://keras.io,['tensorflow'],14996.0,,https://pypi.org/project/keras,2020-06-24 22:40:48.000000,14996.0,1271297.0,1297566.0,https://anaconda.org/conda-forge/keras,2020-06-25 19:13:34.254000,1418557.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n23,OpenAI Gym,openai/gym,,reinforcement-learning,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16.000000,2021-01-25 09:30:06.000000,2021-01-11 17:58:46.000000,6656,251.0,1061.0,23352,1241.0,A toolkit for developing and comparing reinforcement learning algorithms.,272.0,35,True,2020-12-19 00:29:36.000000,0.18.0,92.0,gym,,,,,21241.0,17679.0,https://pypi.org/project/gym,2020-12-19 00:29:36.000000,3562.0,235655.0,235655.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n24,Airflow,apache/airflow,,data-pipelines,https://github.com/apache/airflow,https://github.com/apache/airflow,Apache-2.0,2015-04-13 18:04:58.000000,2021-02-04 15:04:15.000000,2021-02-04 12:57:51.000000,7922,986.0,1932.0,20565,11576.0,\"Platform to programmatically author, schedule, and monitor workflows.\",1729.0,35,True,2020-12-18 13:21:47.000000,2.0.0,67.0,apache-airflow,conda-forge/airflow,apache/airflow,,,294.0,,https://pypi.org/project/apache-airflow,2020-12-14 17:07:53.000000,294.0,443445.0,533507.0,https://anaconda.org/conda-forge/airflow,2020-11-26 16:17:26.980000,269212.0,https://hub.docker.com/r/apache/airflow,2021-02-04 02:44:05.998740,210.0,5795462.0,1.0,85047.0,stable/airflow,,,,,,,,,,,,,,,,,,,,\n25,XGBoost,dmlc/xgboost,,ml-frameworks,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000000,2021-02-04 07:32:56.000000,2021-02-04 01:13:09.000000,7873,250.0,3657.0,20515,5215.0,\"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..\",501.0,35,True,2021-01-20 13:52:38.000000,1.3.3,53.0,xgboost,conda-forge/xgboost,,https://xgboost.readthedocs.io/en/latest/,,15109.0,13517.0,https://pypi.org/project/xgboost,2021-01-20 13:39:06.000000,1592.0,1769835.0,1798566.0,https://anaconda.org/conda-forge/xgboost,2020-12-10 13:41:20.626000,1349348.0,,,,,1.0,1906.0,,,,,,,,,,,,,,,,,,,,,\n26,LightGBM,microsoft/LightGBM,,ml-frameworks,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000000,2021-02-04 06:18:36.000000,2021-02-03 22:32:23.000000,3176,92.0,2004.0,12137,2299.0,\"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..\",200.0,35,True,2020-12-08 03:00:35.000000,3.1.1,24.0,lightgbm,conda-forge/lightgbm,,,,6112.0,5556.0,https://pypi.org/project/lightgbm,2020-12-08 03:00:35.000000,556.0,970167.0,983364.0,https://anaconda.org/conda-forge/lightgbm,2021-01-15 08:38:34.182000,481590.0,,,,,1.0,91937.0,,,,,,,,,,,,,,,,,,,,,\n27,gensim,RaRe-Technologies/gensim,,nlp,https://github.com/RaRe-Technologies/gensim,https://github.com/RaRe-Technologies/gensim,LGPL-2.1,2011-02-10 07:43:04.000000,2021-02-04 08:26:30.000000,2021-01-31 02:01:36.000000,3903,351.0,1251.0,11678,3849.0,Topic Modelling for Humans.,386.0,35,True,2020-05-04 05:55:15.000000,3.8.3,83.0,gensim,conda-forge/gensim,,,,25312.0,20570.0,https://pypi.org/project/gensim,2020-11-15 12:53:37.000000,4742.0,4658799.0,4673357.0,https://anaconda.org/conda-forge/gensim,2020-05-14 08:28:35.604000,594936.0,,,,,1.0,3041.0,,,,,,,,,,,,,,,,,,,,,\n28,Plotly,plotly/plotly.py,,data-viz,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000000,2021-02-04 13:12:14.000000,2021-01-14 02:04:12.000000,1739,800.0,1051.0,8810,4923.0,The interactive graphing library for Python (includes Plotly Express).,162.0,35,True,2021-01-12 17:01:21.000000,4.14.3,265.0,plotly,conda-forge/plotly,,,,4991.0,5.0,https://pypi.org/project/plotly,2021-01-12 16:12:40.000000,4982.0,1834200.0,2059038.0,https://anaconda.org/conda-forge/plotly,2021-01-12 17:11:42.117000,1184196.0,,,,,1.0,,,plotlywidget,https://www.npmjs.com/package/plotlywidget,2021-01-12 16:09:46.133000,4.0,202909.0,,,,,,,,,,,,,,,\n29,torchvision,pytorch/vision,,image,https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000000,2021-02-04 14:33:15.000000,2021-02-04 14:28:39.000000,4299,455.0,1090.0,8301,1459.0,\"Datasets, Transforms and Models specific to Computer Vision.\",360.0,35,True,2020-12-10 17:10:41.000000,0.8.2,21.0,torchvision,conda-forge/torchvision,,,['pytorch'],45333.0,40721.0,https://pypi.org/project/torchvision,2020-12-10 16:27:20.000000,4612.0,423079.0,423976.0,https://anaconda.org/conda-forge/torchvision,2018-10-14 22:06:28.203000,34111.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n30,Seaborn,mwaskom/seaborn,,data-viz,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000000,2021-02-03 11:21:05.000000,2021-02-03 02:45:08.000000,1366,87.0,1683.0,8073,2752.0,Statistical data visualization using matplotlib.,147.0,35,True,2020-12-20 20:53:25.000000,0.11.1,23.0,seaborn,conda-forge/seaborn,,,,92745.0,79959.0,https://pypi.org/project/seaborn,2020-12-20 20:53:25.000000,12786.0,1445406.0,1481418.0,https://anaconda.org/conda-forge/seaborn,2021-01-28 11:50:33.609000,1944644.0,,,,,1.0,129.0,,,,,,,,,,,,,,,,,,,,,\n31,dask,dask/dask,,distributed-ml,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000000,2021-02-04 15:06:04.000000,2021-02-04 02:06:44.000000,1215,727.0,2816.0,7865,6313.0,Parallel computing with task scheduling.,425.0,35,True,2021-01-22 18:21:58.000000,2021.1.1,111.0,dask,conda-forge/dask,,,,28943.0,25027.0,https://pypi.org/project/dask,2021-01-22 18:21:58.000000,3916.0,1034582.0,1085704.0,https://anaconda.org/conda-forge/dask,2021-01-23 02:09:28.436000,2914006.0,,,,,1.0,,stable/dask,,,,,,,,,,,,,,,,,,,,\n32,Arrow,apache/arrow,,data-containers,https://github.com/apache/arrow,https://github.com/apache/arrow,Apache-2.0,2016-02-17 08:00:23.000000,2021-02-04 15:05:07.000000,2021-02-04 15:04:26.000000,1776,136.0,562.0,7105,8493.0,Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-..,623.0,35,True,2020-10-19 21:15:12.000000,3.0.0,30.0,pyarrow,conda-forge/arrow,,,,1017.0,31.0,https://pypi.org/project/pyarrow,2021-01-26 01:05:45.000000,986.0,10312767.0,10320870.0,https://anaconda.org/conda-forge/arrow,2021-01-12 20:46:01.093000,461922.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n33,joblib,joblib/joblib,,data-pipelines,https://github.com/joblib/joblib,https://github.com/joblib/joblib,BSD-3-Clause,2010-05-07 06:48:26.000000,2021-01-30 17:16:38.000000,2020-12-28 10:07:59.000000,286,291.0,352.0,2333,1365.0,Computing with Python functions.,98.0,35,True,2020-12-14 14:21:00.000000,1.0.0,99.0,joblib,conda-forge/joblib,,,,86793.0,80183.0,https://pypi.org/project/joblib,2020-12-14 14:21:00.000000,6610.0,10659087.0,10717564.0,https://anaconda.org/conda-forge/joblib,2020-12-14 14:36:22.998000,3216250.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n34,dash,plotly/dash,,data-viz,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000000,2021-02-03 07:00:19.000000,2021-02-01 18:24:04.000000,1414,405.0,558.0,13875,3543.0,\"Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.\",73.0,34,True,2021-01-20 00:00:50.000000,1.19.0,137.0,dash,conda-forge/dash,,,,18723.0,17115.0,https://pypi.org/project/dash,2021-01-19 23:50:28.000000,1608.0,165610.0,172045.0,https://anaconda.org/conda-forge/dash,2021-01-21 16:17:38.594000,212368.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n35,nltk,nltk/nltk,,nlp,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58.000000,2021-01-29 20:31:04.000000,2021-01-02 00:33:13.000000,2434,233.0,1224.0,9596,,Suite of libraries and programs for symbolic and statistical natural language processing for English.,386.0,34,True,2019-08-20 10:55:21.000000,3.4.5,39.0,nltk,conda-forge/nltk,,,,109151.0,88159.0,https://pypi.org/project/nltk,2020-04-12 23:46:10.000000,20992.0,3516143.0,3527629.0,https://anaconda.org/conda-forge/nltk,2019-08-08 17:07:46.504000,620278.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n36,Theano,Theano/Theano,,ml-frameworks,https://github.com/Theano/Theano,https://github.com/Theano/Theano,BSD-3-Clause,2011-08-10 03:48:06.000000,2021-01-27 07:16:52.000000,2020-09-05 10:39:50.000000,2501,674.0,2081.0,9333,28123.0,\"Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-..\",382.0,34,True,2020-07-27 16:13:54.000000,1.0.5,45.0,theano,conda-forge/theano,,,,15616.0,10142.0,https://pypi.org/project/theano,2020-07-27 16:13:54.000000,5474.0,130632.0,153980.0,https://anaconda.org/conda-forge/theano,2021-01-21 21:14:21.756000,1284178.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n37,mlflow,mlflow/mlflow,,ml-experiments,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000000,2021-02-04 15:02:59.000000,2021-02-04 07:53:52.000000,1872,687.0,1044.0,8326,1870.0,Open source platform for the machine learning lifecycle.,278.0,34,True,2020-12-31 09:17:41.000000,1.13.1,40.0,mlflow,conda-forge/mlflow,,,,2037.0,1883.0,https://pypi.org/project/mlflow,2020-12-31 08:55:08.000000,154.0,1787246.0,1796776.0,https://anaconda.org/conda-forge/mlflow,2021-01-28 17:21:24.799000,209665.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n38,dask.distributed,dask/distributed,,distributed-ml,https://github.com/dask/distributed,https://github.com/dask/distributed,BSD-3-Clause,2015-09-13 18:42:29.000000,2021-02-04 02:32:45.000000,2021-02-04 02:32:44.000000,506,721.0,1265.0,1142,3790.0,A distributed task scheduler for Dask.,227.0,34,True,2021-01-15 21:36:03.000000,2021.1.1,142.0,distributed,conda-forge/distributed,,,,18293.0,16515.0,https://pypi.org/project/distributed,2021-01-22 18:29:47.000000,1778.0,674798.0,738395.0,https://anaconda.org/conda-forge/distributed,2021-01-23 01:04:22.184000,3625057.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n39,MXNet,apache/incubator-mxnet,,ml-frameworks,https://github.com/apache/incubator-mxnet,https://github.com/apache/incubator-mxnet,Apache-2.0,2015-04-30 16:21:15.000000,2021-02-04 06:19:08.000000,2021-02-03 20:00:09.000000,6803,1833.0,7556.0,19255,11510.0,\"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..\",948.0,33,True,2020-08-28 05:08:24.000000,1.7.0,976.0,mxnet,mxnet,,,['mxnet'],2235.0,1791.0,https://pypi.org/project/mxnet,2020-08-28 06:18:15.000000,444.0,78367.0,78930.0,https://anaconda.org/anaconda/mxnet,2020-02-29 00:58:31.007000,5779.0,,,,,2.0,23445.0,,,,,,,0.0,,,,,,,,,,,,,,\n40,PyFlink,apache/flink,,ml-frameworks,https://github.com/apache/flink,https://github.com/apache/flink,Apache-2.0,2014-06-07 07:00:10.000000,2021-02-04 14:15:05.000000,2021-02-04 11:29:47.000000,8542,499.0,,15448,25554.0,Apache Flink Python API.,1190.0,33,True,2021-01-15 01:51:44.000000,1.12.1,12.0,apache-flink,,,,,249.0,249.0,https://pypi.org/project/apache-flink,2021-01-15 01:51:44.000000,0.0,1797.0,1797.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n41,Ray,ray-project/ray,,distributed-ml,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000000,2021-02-04 14:21:30.000000,2021-02-04 12:10:56.000000,2358,1254.0,4652.0,14709,7156.0,\"An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged..\",430.0,33,True,2020-12-24 10:13:39.000000,1.1.0,43.0,ray,,,,,1730.0,1570.0,https://pypi.org/project/ray,2020-12-24 10:13:39.000000,160.0,143122.0,143122.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n42,Bokeh,bokeh/bokeh,,data-viz,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000000,2021-02-04 07:08:35.000000,2021-02-01 18:46:19.000000,3621,605.0,5753.0,14611,,\"Interactive Data Visualization in the browser, from Python.\",546.0,33,True,2020-10-21 02:39:03.000000,2.2.3,83.0,bokeh,conda-forge/bokeh,,,,36202.0,30330.0,https://pypi.org/project/bokeh,2021-01-19 00:27:21.000000,5872.0,684267.0,764376.0,https://anaconda.org/conda-forge/bokeh,2021-01-13 10:22:16.472000,3685023.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n43,luigi,spotify/luigi,,data-pipelines,https://github.com/spotify/luigi,https://github.com/spotify/luigi,Apache-2.0,2012-09-20 15:06:38.000000,2021-02-02 10:15:31.000000,2021-02-02 10:15:28.000000,2207,63.0,839.0,14166,3944.0,\"Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution,..\",551.0,33,True,2020-09-23 11:57:43.000000,3.0.2,72.0,luigi,luigi,,,,1996.0,1320.0,https://pypi.org/project/luigi,2020-09-23 11:57:12.000000,676.0,311812.0,311920.0,https://anaconda.org/anaconda/luigi,2020-07-21 19:50:10.849000,6534.0,,,,,1.0,,stable/luigi,,,,,,,,,,,,,,,,,,,,\n44,pytorch-lightning,PyTorchLightning/pytorch-lightning,,ml-frameworks,https://github.com/PyTorchLightning/pytorch-lightning,https://github.com/PyTorchLightning/pytorch-lightning,Apache-2.0,2019-03-31 00:45:57.000000,2021-02-04 13:35:10.000000,2021-02-04 13:20:38.000000,1361,335.0,2513.0,11791,4126.0,\"The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.\",376.0,33,True,2021-02-03 18:22:29.000000,1.1.7,150.0,pytorch-lightning,conda-forge/pytorch-lightning,,,['pytorch'],1841.0,1827.0,https://pypi.org/project/pytorch-lightning,2021-02-03 18:22:29.000000,14.0,90860.0,94306.0,https://anaconda.org/conda-forge/pytorch-lightning,2021-02-03 20:16:14.866000,27542.0,,,,,2.0,79.0,,,,,,,,,,,,,,,,,,,,,\n45,shap,slundberg/shap,,interpretability,https://github.com/slundberg/shap,https://github.com/slundberg/shap,MIT,2016-11-22 19:17:08.000000,2021-01-31 16:14:23.000000,2021-01-26 16:41:15.000000,1668,935.0,501.0,11597,1785.0,A game theoretic approach to explain the output of any machine learning model.,142.0,33,True,2021-01-15 18:02:54.000000,0.38.1,92.0,shap,conda-forge/shap,,,,2102.0,1966.0,https://pypi.org/project/shap,2020-11-04 21:38:32.000000,136.0,612063.0,624644.0,https://anaconda.org/conda-forge/shap,2020-12-16 19:26:39.477000,377431.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n46,onnx,onnx/onnx,,model-serialisation,https://github.com/onnx/onnx,https://github.com/onnx/onnx,Apache-2.0,2017-09-07 04:53:45.000000,2021-02-04 11:54:56.000000,2021-02-04 06:09:50.000000,1791,506.0,941.0,9725,1676.0,Open standard for machine learning interoperability.,191.0,33,True,2021-01-30 01:25:24.000000,1.8.1,20.0,onnx,conda-forge/onnx,,,,2779.0,2483.0,https://pypi.org/project/onnx,2021-01-29 23:57:20.000000,296.0,237365.0,242367.0,https://anaconda.org/conda-forge/onnx,2021-02-03 21:06:56.548000,185150.0,,,,,1.0,10238.0,,,,,,,,,,,,,,,,,,,,,\n47,pydeck,visgl/deck.gl,,geospatial-data,https://github.com/visgl/deck.gl,https://github.com/visgl/deck.gl,MIT,2015-12-15 08:38:29.000000,2021-02-04 07:17:22.000000,2021-02-04 00:31:00.000000,1511,88.0,1960.0,8400,3537.0,WebGL2 powered geospatial visualization layers.,151.0,33,True,2021-02-04 00:44:01.531000,8.4.1,448.0,pydeck,conda-forge/pydeck,,,['jupyter'],1970.0,1408.0,https://pypi.org/project/pydeck,2020-10-26 06:55:35.000000,2.0,82300.0,262106.0,https://anaconda.org/conda-forge/pydeck,2020-10-26 12:26:44.805000,13421.0,,,,,1.0,,,deck.gl,https://www.npmjs.com/package/deck.gl,2021-02-04 00:44:01.531000,560.0,178688.0,,,,,,,,,,,,,,,\n48,rq,rq/rq,,data-pipelines,https://github.com/rq/rq,https://github.com/rq/rq,BSD-3-Clause,2011-11-14 10:53:48.000000,2021-02-03 00:50:48.000000,2021-02-03 00:50:47.000000,1192,139.0,673.0,7508,1553.0,Simple job queues for Python.,226.0,33,True,2020-11-29 09:48:18.000000,1.7.0,63.0,rq,conda-forge/rq,,,,10551.0,7227.0,https://pypi.org/project/rq,2020-11-29 09:47:08.000000,3324.0,177718.0,178515.0,https://anaconda.org/conda-forge/rq,2020-11-29 15:11:15.371000,43851.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n49,xlrd,python-excel/xlrd,,data-loading,https://github.com/python-excel/xlrd,https://github.com/python-excel/xlrd,BSD-3-Clause,2012-03-07 04:50:48.000000,2021-01-09 20:35:27.639000,2020-12-12 15:24:25.000000,406,3.0,,1856,502.0,Please use openpyxl where you can...,50.0,33,True,2020-12-11 10:14:20.000000,2.0.1,24.0,xlrd,conda-forge/xlrd,,,,76757.0,63183.0,https://pypi.org/project/xlrd,2020-12-11 10:14:20.000000,13574.0,3788524.0,3813815.0,https://anaconda.org/conda-forge/xlrd,2021-01-09 20:35:27.639000,1188715.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n50,Fastai,fastai/fastai,,ml-frameworks,https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000000,2021-02-04 05:04:21.000000,2021-02-03 18:38:02.000000,6926,61.0,1316.0,20374,1663.0,The fastai deep learning library.,472.0,32,True,2021-01-13 19:38:43.000000,2.2.5,116.0,fastai,,,,['pytorch'],368.0,,https://pypi.org/project/fastai,2021-01-13 19:38:43.000000,368.0,81895.0,81895.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n51,tensor2tensor,tensorflow/tensor2tensor,,tensorflow-utils,https://github.com/tensorflow/tensor2tensor,https://github.com/tensorflow/tensor2tensor,Apache-2.0,2017-06-15 16:57:39.000000,2021-02-01 15:36:46.000000,2020-11-16 14:28:10.000000,2728,546.0,663.0,10881,4345.0,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,230.0,32,True,2020-06-17 16:15:36.000000,1.15.7,79.0,tensor2tensor,,,,['tensorflow'],981.0,899.0,https://pypi.org/project/tensor2tensor,2020-06-17 16:15:36.000000,82.0,67111.0,67111.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n52,dlib,davisking/dlib,,ml-frameworks,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000000,2021-02-04 08:42:45.000000,2021-01-28 13:35:17.000000,2870,40.0,1816.0,9858,7911.0,A toolkit for making real world machine learning and data analysis applications in C++.,164.0,32,False,2020-12-04 19:23:04.000000,19.21.1,28.0,dlib,conda-forge/dlib,,,,9588.0,8230.0,https://pypi.org/project/dlib,2020-12-04 19:23:04.000000,1358.0,40862.0,46222.0,https://anaconda.org/conda-forge/dlib,2021-01-14 21:24:20.585000,265117.0,,,,,2.0,24347.0,,,,,,,,,,,,,,,,,,,,,\n53,AllenNLP,allenai/allennlp,,nlp,https://github.com/allenai/allennlp,https://github.com/allenai/allennlp,Apache-2.0,2017-05-15 15:52:41.000000,2021-02-04 12:11:51.000000,2021-02-03 19:08:36.000000,1989,110.0,2138.0,9653,2357.0,\"An open-source NLP research library, built on PyTorch.\",232.0,32,True,2021-01-29 23:34:22.000000,1.4.1,163.0,allennlp,,,,['pytorch'],1653.0,1419.0,https://pypi.org/project/allennlp,2021-02-04 12:11:51.000000,234.0,12938.0,12938.0,,,,,,,,1.0,36.0,,,,,,,,,,,,,,,,,,,,,\n54,PyMC3,pymc-devs/pymc3,,probabilistics,https://github.com/pymc-devs/pymc3,https://github.com/pymc-devs/pymc3,Apache-2.0,2009-05-05 09:43:50.000000,2021-02-04 05:41:39.000000,2021-02-03 17:39:12.000000,1338,148.0,1988.0,5537,7658.0,Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano.,305.0,32,True,2021-01-21 08:37:19.000000,3.11.0,31.0,pymc3,conda-forge/pymc3,,,,2310.0,2024.0,https://pypi.org/project/pymc3,2021-01-21 08:37:19.000000,286.0,89343.0,94044.0,https://anaconda.org/conda-forge/pymc3,2021-01-21 21:05:06.553000,244436.0,,,,,1.0,149.0,,,,,,,,,,,,,,,,,,,,,\n55,folium,python-visualization/folium,,geospatial-data,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000000,2021-01-18 18:15:18.000000,2021-01-18 17:35:27.000000,1899,148.0,689.0,5123,1473.0,Python Data. Leaflet.js Maps.,120.0,32,True,2021-01-18 17:29:40.000000,0.12.1,25.0,folium,conda-forge/folium,,,,9267.0,8299.0,https://pypi.org/project/folium,2021-01-18 17:29:40.000000,968.0,155592.0,161042.0,https://anaconda.org/conda-forge/folium,2021-01-06 21:06:10.173000,321582.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n56,Beam,apache/beam,,data-pipelines,https://github.com/apache/beam,https://github.com/apache/beam,Apache-2.0,2016-02-02 08:00:06.000000,2021-02-04 12:36:25.000000,2021-02-04 09:58:22.000000,2844,129.0,,4554,30511.0,\"Unified programming model to define and execute data processing pipelines, including ETL, batch and stream processing.\",1012.0,32,True,2021-01-08 20:56:28.000000,2.27.0,30.0,apache-beam,,,,,186.0,,https://pypi.org/project/apache-beam,2021-01-08 20:08:17.000000,186.0,1001528.0,1001528.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n57,geopy,geopy/geopy,,geospatial-data,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000000,2021-02-02 02:15:32.000000,2020-12-27 16:15:28.000000,535,25.0,212.0,3200,1004.0,Geocoding library for Python.,117.0,32,True,2020-12-27 13:15:23.000000,2.1.0,57.0,geopy,conda-forge/geopy,,,,23483.0,16239.0,https://pypi.org/project/geopy,2020-12-27 13:12:21.000000,7244.0,2694814.0,2703387.0,https://anaconda.org/conda-forge/geopy,2020-12-27 14:22:55.127000,505856.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n58,tensorflow-hub,tensorflow/hub,,tensorflow-utils,https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42.000000,2021-01-28 11:48:22.000000,2021-01-28 11:48:18.000000,1439,45.0,505.0,2703,828.0,A library for transfer learning by reusing parts of TensorFlow models.,67.0,32,True,2021-01-06 16:20:30.000000,0.11.0,14.0,tensorflow-hub,conda-forge/tensorflow-hub,,,['tensorflow'],5565.0,5251.0,https://pypi.org/project/tensorflow-hub,2021-01-06 16:20:30.000000,314.0,576940.0,578469.0,https://anaconda.org/conda-forge/tensorflow-hub,2020-08-24 16:43:36.561000,48942.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n59,Thinc,explosion/thinc,,ml-frameworks,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59.000000,2021-02-03 12:19:56.063000,2021-02-01 03:00:47.000000,197,9.0,87.0,2178,4902.0,\"A refreshing functional take on deep learning, compatible with your favorite libraries.\",36.0,32,True,2021-01-24 04:05:27.000000,8.0.1,188.0,thinc,conda-forge/thinc,,,,12141.0,11003.0,https://pypi.org/project/thinc,2021-01-24 04:05:27.000000,1138.0,637583.0,655621.0,https://anaconda.org/conda-forge/thinc,2021-02-03 12:19:56.063000,865862.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n60,Shapely,Toblerity/Shapely,,geospatial-data,https://github.com/Toblerity/Shapely,https://github.com/Toblerity/Shapely,BSD-3-Clause,2011-12-31 19:43:11.000000,2021-02-04 04:39:16.000000,2021-02-04 04:39:15.000000,377,140.0,573.0,2133,1486.0,Manipulation and analysis of geometric objects.,105.0,32,True,2020-08-20 23:31:01.000000,1.7.1,99.0,shapely,conda-forge/shapely,,,,21481.0,16023.0,https://pypi.org/project/shapely,2020-08-20 23:31:01.000000,5458.0,1516060.0,1547662.0,https://anaconda.org/conda-forge/shapely,2021-01-24 21:27:29.350000,2022537.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n61,xarray,pydata/xarray,,data-containers,https://github.com/pydata/xarray,https://github.com/pydata/xarray,Apache-2.0,2013-09-30 17:21:10.000000,2021-02-04 08:11:44.000000,2021-01-30 16:26:03.000000,625,785.0,1891.0,1918,3495.0,N-D labeled arrays and datasets in Python.,289.0,32,True,2020-11-30 21:28:55.000000,0.16.2,55.0,xarray,conda-forge/xarray,,,,6203.0,5071.0,https://pypi.org/project/xarray,2020-11-30 21:26:20.000000,1132.0,206657.0,247056.0,https://anaconda.org/conda-forge/xarray,2020-12-01 04:59:09.242000,2383585.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n62,jieba,fxsjy/jieba,,chinese-nlp,https://github.com/fxsjy/jieba,https://github.com/fxsjy/jieba,MIT,2012-09-29 07:52:01.000000,2020-12-05 18:32:32.000000,2020-02-15 08:33:35.000000,6065,592.0,196.0,25451,523.0,Chinese Words Segmentation Utilities.,48.0,31,True,2020-01-20 14:27:23.000000,0.42.1,32.0,jieba,conda-forge/jieba,,,,11704.0,9188.0,https://pypi.org/project/jieba,2020-01-20 14:27:23.000000,2516.0,98959.0,100401.0,https://anaconda.org/conda-forge/jieba,2020-03-25 20:57:40.090000,66345.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n63,DeepSpeech,mozilla/DeepSpeech,,audio,https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53.000000,2021-02-02 16:20:03.000000,2021-02-01 15:54:06.000000,3058,98.0,1834.0,16480,3355.0,\"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..\",156.0,31,True,2020-12-10 17:22:09.000000,0.9.3,100.0,deepspeech,,,,['tensorflow'],423.0,394.0,https://pypi.org/project/deepspeech,2020-12-19 10:05:12.000000,29.0,6624.0,21201.0,,,,,,,,1.0,422749.0,,,,,,,,6.0,,,,,,,,,,,,,\n64,jax,google/jax,,ml-frameworks,https://github.com/google/jax,https://github.com/google/jax,Apache-2.0,2018-10-25 21:25:02.000000,2021-02-04 14:28:08.000000,2021-02-04 14:27:51.000000,971,729.0,1404.0,11247,6807.0,\"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.\",253.0,31,True,2021-01-27 04:52:22.000000,0.2.9,88.0,jax,conda-forge/jaxlib,,,,1101.0,1055.0,https://pypi.org/project/jax,2021-01-27 04:52:22.000000,46.0,55811.0,59664.0,https://anaconda.org/conda-forge/jaxlib,2021-01-18 19:48:22.594000,73214.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n65,imgaug,aleju/imgaug,,image,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33.000000,2020-10-19 12:23:22.000000,2020-06-01 14:58:26.000000,1957,216.0,204.0,10641,2913.0,Image augmentation for machine learning experiments.,36.0,31,True,2020-02-06 06:18:40.000000,0.4.0,11.0,imgaug,conda-forge/imgaug,,,,5504.0,5226.0,https://pypi.org/project/imgaug,2020-02-05 20:54:22.000000,278.0,94322.0,95956.0,https://anaconda.org/conda-forge/imgaug,2020-02-14 16:06:53.525000,32694.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n66,pyecharts,pyecharts/pyecharts,,data-viz,https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000000,2021-01-19 10:14:14.000000,2021-01-19 10:14:13.000000,2349,30.0,1337.0,10523,1512.0,Python Echarts Plotting Library.,30.0,31,True,2020-10-29 15:14:08.000000,1.9.0,66.0,pyecharts,,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,['jupyter'],1753.0,1471.0,https://pypi.org/project/pyecharts,2020-10-29 15:14:08.000000,282.0,13909.0,13909.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n67,wordcloud,amueller/word_cloud,,data-viz,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59.000000,2021-01-21 10:00:39.000000,2020-11-11 21:35:51.000000,2025,97.0,343.0,7849,540.0,A little word cloud generator in Python.,58.0,31,True,2020-11-11 21:41:02.000000,1.8.1,16.0,wordcloud,conda-forge/wordcloud,,,,9854.0,8750.0,https://pypi.org/project/wordcloud,2020-11-11 21:41:02.000000,1104.0,165356.0,168783.0,https://anaconda.org/conda-forge/wordcloud,2021-01-14 18:03:24.960000,185089.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n68,Altair,altair-viz/altair,,data-viz,https://github.com/altair-viz/altair,https://github.com/altair-viz/altair,BSD-3-Clause,2015-09-19 03:14:04.000000,2021-01-31 18:42:25.000000,2021-01-12 16:59:02.000000,570,287.0,1205.0,6383,3047.0,Declarative statistical visualization library for Python.,121.0,31,True,2020-04-01 13:29:16.000000,4.1.0,26.0,altair,conda-forge/altair,,,,8194.0,7824.0,https://pypi.org/project/altair,2020-04-01 13:23:10.000000,370.0,458504.0,469408.0,https://anaconda.org/conda-forge/altair,2020-04-01 16:49:36.519000,599768.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n69,Chainer,chainer/chainer,,ml-frameworks,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37.000000,2021-02-04 08:52:06.000000,2021-02-03 07:53:52.000000,1370,18.0,2016.0,5526,30566.0,A flexible framework of neural networks for deep learning.,318.0,31,True,2021-01-13 10:14:54.000000,7.0.0.post1,109.0,chainer,,,,,2605.0,1863.0,https://pypi.org/project/chainer,2021-01-13 09:29:55.000000,742.0,13147.0,13147.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n70,sentencepiece,google/sentencepiece,,nlp,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000000,2021-01-12 17:23:26.000000,2021-01-12 17:23:24.000000,633,24.0,390.0,4779,662.0,Unsupervised text tokenizer for Neural Network-based text generation.,48.0,31,True,2021-01-10 06:29:42.000000,0.1.95,30.0,sentencepiece,conda-forge/sentencepiece,,,,5928.0,5688.0,https://pypi.org/project/sentencepiece,2021-01-10 06:29:42.000000,240.0,700692.0,704813.0,https://anaconda.org/conda-forge/sentencepiece,2021-01-08 22:01:24.349000,26465.0,,,,,1.0,10257.0,,,,,,,,,,,,,,,,,,,,,\n71,Optuna,optuna/optuna,,hyperopt,https://github.com/optuna/optuna,https://github.com/optuna/optuna,MIT,2018-02-21 06:12:56.000000,2021-02-04 14:19:14.000000,2021-02-04 06:23:15.000000,454,212.0,477.0,4031,8936.0,A hyperparameter optimization framework.,122.0,31,True,2021-02-01 06:18:14.000000,2.5.0,35.0,optuna,conda-forge/optuna,,,,983.0,931.0,https://pypi.org/project/optuna,2021-02-01 06:18:14.000000,52.0,128593.0,129773.0,https://anaconda.org/conda-forge/optuna,2021-02-02 01:24:13.010000,17711.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n72,Tablib,jazzband/tablib,,data-loading,https://github.com/jazzband/tablib,https://github.com/jazzband/tablib,MIT,2011-03-28 02:36:50.000000,2020-12-13 06:03:08.000000,2020-12-11 07:22:54.000000,559,34.0,197.0,3857,1123.0,\"Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c.\",110.0,31,True,2020-12-05 14:56:28.000000,3.0.0,38.0,tablib,conda-forge/tablib,,,,11638.0,9280.0,https://pypi.org/project/tablib,2020-12-05 14:56:28.000000,2358.0,382888.0,383992.0,https://anaconda.org/conda-forge/tablib,2020-12-05 16:40:48.469000,56350.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n73,tensorflow-probability,tensorflow/probability,,probabilistics,https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000000,2021-02-04 12:26:58.000000,2021-02-04 01:10:36.000000,846,430.0,519.0,3222,10238.0,Probabilistic reasoning and statistical analysis in TensorFlow.,400.0,31,True,2020-12-29 18:40:25.000000,0.12.1,35.0,tensorflow-probability,conda-forge/tensorflow-probability,,,['tensorflow'],253.0,1.0,https://pypi.org/project/tensorflow-probability,2020-12-29 17:46:08.000000,252.0,274230.0,275474.0,https://anaconda.org/conda-forge/tensorflow-probability,2020-03-13 21:04:53.147000,29874.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n74,TensorFlow Datasets,tensorflow/datasets,,data-loading,https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000000,2021-02-04 09:36:21.000000,2021-02-04 09:03:27.000000,955,396.0,536.0,2654,3765.0,\"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...\",182.0,31,True,2021-01-07 09:50:58.000000,4.2.0,21.0,tensorflow-datasets,,,,['tensorflow'],3658.0,3556.0,https://pypi.org/project/tensorflow-datasets,2021-01-07 09:50:58.000000,102.0,382148.0,382148.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n75,GeoPandas,geopandas/geopandas,,geospatial-data,https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000000,2021-02-01 12:18:27.000000,2021-01-30 17:17:39.000000,528,294.0,675.0,2454,1323.0,Python tools for geographic data.,131.0,31,True,2021-01-25 20:51:26.000000,0.8.2,36.0,geopandas,conda-forge/geopandas,,,['pandas'],8282.0,7116.0,https://pypi.org/project/geopandas,2021-01-25 20:51:23.000000,1166.0,338654.0,352849.0,https://anaconda.org/conda-forge/geopandas,2021-01-25 21:28:29.004000,836642.0,,,,,2.0,877.0,,,,,,,,,,,,,,,,,,,,,\n76,python-magic,ahupp/python-magic,,data-loading,https://github.com/ahupp/python-magic,https://github.com/ahupp/python-magic,MIT,2010-03-31 22:40:33.000000,2021-01-16 08:38:24.000000,2021-01-16 00:41:01.000000,217,29.0,126.0,1821,275.0,A python wrapper for libmagic.,49.0,31,True,2021-01-16 08:38:24.000000,0.4.20,20.0,python-magic,conda-forge/python-magic,,,,16917.0,11785.0,https://pypi.org/project/python-magic,2021-01-16 08:38:24.000000,5132.0,1047494.0,1049128.0,https://anaconda.org/conda-forge/python-magic,2020-12-24 22:42:00.639000,75184.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n77,numexpr,pydata/numexpr,,data-containers,https://github.com/pydata/numexpr,https://github.com/pydata/numexpr,MIT,2013-11-30 22:33:48.000000,2021-01-13 23:35:13.025000,2021-01-04 20:06:02.000000,161,53.0,247.0,1519,677.0,\"Fast numerical array expression evaluator for Python, NumPy, PyTables, pandas, bcolz and more.\",55.0,31,True,2020-12-29 18:58:07.000000,2.7.2,38.0,numexpr,conda-forge/numexpr,,,,5482.0,,https://pypi.org/project/numexpr,2020-01-05 17:55:57.000000,5482.0,477484.0,517036.0,https://anaconda.org/conda-forge/numexpr,2021-01-13 23:35:13.025000,2135816.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n78,imageio,imageio/imageio,,image,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000000,2021-02-03 08:10:09.000000,2021-02-03 08:10:08.000000,166,65.0,271.0,826,1129.0,Python library for reading and writing image data.,73.0,31,True,2020-07-10 07:45:22.000000,2.9.0,31.0,imageio,conda-forge/imageio,,,,39738.0,35900.0,https://pypi.org/project/imageio,2020-07-06 13:20:41.000000,3838.0,1327504.0,1361562.0,https://anaconda.org/conda-forge/imageio,2020-07-06 14:13:25.518000,1668848.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n79,fastText,facebookresearch/fastText,,nlp,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000000,2021-01-15 15:28:41.000000,2020-07-18 00:20:40.000000,4299,435.0,592.0,22200,379.0,Library for fast text representation and classification.,58.0,30,True,2020-04-28 09:54:50.000000,0.9.2,35.0,fasttext,conda-forge/fasttext,,,,1674.0,1484.0,https://pypi.org/project/fasttext,2020-04-28 09:54:50.000000,190.0,91201.0,91636.0,https://anaconda.org/conda-forge/fasttext,2020-10-12 14:55:45.199000,17432.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n80,PaddlePaddle,PaddlePaddle/Paddle,,ml-frameworks,https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000000,2021-02-04 14:13:44.000000,2021-02-04 13:01:28.000000,3489,2317.0,10427.0,14114,15069.0,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,495.0,30,True,2021-02-01 02:31:35.000000,2.0.0,42.0,paddlepaddle,,,,['paddle'],43.0,27.0,https://pypi.org/project/paddlepaddle,2021-01-25 11:50:59.000000,16.0,4000.0,4282.0,,,,,,,,2.0,15249.0,,,,,,,,1.0,,,,,,,,,,,,,\n81,zipline,quantopian/zipline,,financial-data,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29.000000,2021-02-02 04:15:25.000000,2020-10-14 16:36:49.000000,3814,332.0,647.0,13270,6226.0,\"Zipline, a Pythonic Algorithmic Trading Library.\",151.0,30,True,2020-10-05 15:46:20.429000,1.4.1,30.0,zipline,,,,,832.0,674.0,https://pypi.org/project/zipline,2020-10-05 15:46:20.429000,158.0,2815.0,2815.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n82,fairseq,pytorch/fairseq,,nlp,https://github.com/pytorch/fairseq,https://github.com/pytorch/fairseq,MIT,2017-08-29 16:26:12.000000,2021-02-04 09:17:31.000000,2021-02-03 20:30:40.000000,2800,628.0,1783.0,11152,1747.0,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,298.0,30,True,2021-01-05 20:26:45.000000,0.10.2,13.0,fairseq,,,,['pytorch'],309.0,289.0,https://pypi.org/project/fairseq,2021-01-05 20:26:45.000000,20.0,6792.0,6794.0,,,,,,,,1.0,81.0,,,,,,,,,,,,,,,,,,,,,\n83,ChatterBot,gunthercox/ChatterBot,,nlp,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00.000000,2021-02-03 01:12:36.000000,2020-08-20 21:16:14.000000,3667,223.0,1224.0,10797,1847.0,\"ChatterBot is a machine learning, conversational dialog engine for creating chat bots.\",103.0,30,True,2020-08-22 18:42:43.000000,1.0.8,86.0,chatterbot,,,,,3824.0,3144.0,https://pypi.org/project/chatterbot,2020-08-22 18:40:36.000000,680.0,16695.0,16695.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n84,horovod,horovod/horovod,,distributed-ml,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000000,2021-02-04 13:58:04.000000,2021-02-03 17:48:37.000000,1736,264.0,1417.0,10789,857.0,\"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.\",110.0,30,True,2021-01-07 00:00:40.000000,0.21.1,62.0,horovod,,,,,360.0,320.0,https://pypi.org/project/horovod,2021-01-07 00:00:40.000000,40.0,72757.0,72757.0,,,,,,,,2.0,,stable/horovod,,,,,,,,,,,,,,,,,,,,\n85,flair,flairNLP/flair,,nlp,https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,MIT,2018-06-11 11:04:18.000000,2021-02-04 11:59:15.000000,2021-02-04 11:13:32.000000,1450,102.0,1337.0,9891,3055.0,A very simple framework for state-of-the-art Natural Language Processing (NLP).,160.0,30,True,2020-12-01 19:35:00.000000,0.7,19.0,flair,,,,['pytorch'],657.0,609.0,https://pypi.org/project/flair,2020-12-01 19:02:38.000000,48.0,33026.0,33026.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n86,Vowpal Wabbit,VowpalWabbit/vowpal_wabbit,,ml-frameworks,https://github.com/VowpalWabbit/vowpal_wabbit,https://github.com/VowpalWabbit/vowpal_wabbit,BSD-3-Clause,2009-07-31 19:36:58.000000,2021-02-04 10:50:05.000000,2021-02-04 10:49:19.000000,1710,165.0,863.0,7425,9008.0,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,298.0,30,True,2021-01-27 21:17:28.000000,8.9.1,13.0,vowpalwabbit,,,,,114.0,98.0,https://pypi.org/project/vowpalwabbit,2020-11-12 14:41:09.000000,16.0,12234.0,12234.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n87,DVC,iterative/dvc,,ml-experiments,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000000,2021-02-04 12:58:43.000000,2021-02-04 12:58:42.000000,692,505.0,2178.0,7202,6288.0,Data Version Control | Git for Data & Models.,206.0,30,True,2021-02-02 10:12:51.000000,1.11.15,294.0,dvc,conda-forge/dvc,,,,609.0,563.0,https://pypi.org/project/dvc,2021-02-02 10:12:51.000000,46.0,44231.0,69690.0,https://anaconda.org/conda-forge/dvc,2021-02-02 13:09:31.916000,454238.0,,,,,1.0,18629.0,,,,,,,,,dvc,dvc,dvc,,,,,,,,,,\n88,Prefect,PrefectHQ/prefect,,data-pipelines,https://github.com/PrefectHQ/prefect,https://github.com/PrefectHQ/prefect,Apache-2.0,2018-06-29 21:59:26.000000,2021-02-04 15:08:52.000000,2021-02-04 15:08:51.000000,511,225.0,1317.0,5798,13259.0,The easiest way to automate your data.,180.0,30,True,2021-02-02 15:59:00.000000,0.14.6,83.0,prefect,conda-forge/prefect,,,,251.0,249.0,https://pypi.org/project/prefect,2021-02-02 15:59:00.000000,2.0,40262.0,43227.0,https://anaconda.org/conda-forge/prefect,2021-02-02 17:07:14.559000,68207.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n89,Catboost,catboost/catboost,,ml-frameworks,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000000,2021-02-04 13:34:36.000000,2021-02-04 13:34:31.000000,861,319.0,1040.0,5668,14581.0,\"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..\",732.0,30,True,2020-12-27 09:12:53.000000,0.24.4,91.0,catboost,conda-forge/catboost,,,,162.0,,https://pypi.org/project/catboost,2020-12-27 06:58:33.000000,162.0,421224.0,439501.0,https://anaconda.org/conda-forge/catboost,2020-12-29 11:38:06.128000,564111.0,,,,,2.0,48541.0,,,,,,,,,,,,,,,,,,,,,\n90,Hyperopt,hyperopt/hyperopt,,hyperopt,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59.000000,2021-01-25 15:45:14.000000,2020-12-24 07:20:10.000000,855,331.0,221.0,5403,1168.0,Distributed Asynchronous Hyperparameter Optimization in Python.,84.0,30,True,2020-10-07 09:52:56.000000,0.2.5,11.0,hyperopt,conda-forge/hyperopt,,,,3108.0,2604.0,https://pypi.org/project/hyperopt,2020-10-07 09:52:56.000000,504.0,306500.0,312197.0,https://anaconda.org/conda-forge/hyperopt,2020-10-14 07:57:14.292000,165234.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n91,SpeechRecognition,Uberi/speech_recognition,,audio,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54.000000,2021-01-11 17:26:33.040000,2019-07-02 17:29:47.000000,1853,201.0,269.0,5396,360.0,\"Speech recognition module for Python, supporting several engines and APIs, online and offline.\",41.0,30,False,2017-12-05 14:05:14.000000,3.8.1,52.0,SpeechRecognition,conda-forge/speechrecognition,,,,7842.0,6754.0,https://pypi.org/project/SpeechRecognition,2017-12-05 13:58:29.000000,1088.0,67162.0,68935.0,https://anaconda.org/conda-forge/speechrecognition,2021-01-11 17:26:33.040000,95770.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n92,CuPy,cupy/cupy,,gpu-utilities,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000000,2021-02-04 13:25:58.142910,2021-02-04 13:20:53.000000,435,347.0,883.0,4811,20462.0,A NumPy-compatible array library accelerated by CUDA.,253.0,30,True,2021-01-28 05:28:01.000000,8.4.0,87.0,cupy,conda-forge/cupy,cupy/cupy,,,847.0,655.0,https://pypi.org/project/cupy,2021-01-28 01:38:53.000000,192.0,8770.0,32226.0,https://anaconda.org/conda-forge/cupy,2021-02-02 18:28:34.210000,357899.0,https://hub.docker.com/r/cupy/cupy,2021-02-04 13:25:58.142910,6.0,48027.0,1.0,7062.0,,,,,,,,,,,,,,,,,,,,,\n93,UMAP,lmcinnes/umap,,data-viz,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17.000000,2021-02-01 16:49:56.000000,2021-02-01 16:49:55.000000,477,206.0,225.0,4464,1306.0,Uniform Manifold Approximation and Projection.,69.0,30,True,2021-01-11 21:28:26.000000,0.5.0,34.0,umap-learn,,,,,2516.0,2290.0,https://pypi.org/project/umap-learn,2021-01-11 21:28:26.000000,226.0,99608.0,99608.0,,,,,,,,2.0,,,,,,,,,1.0,,,,,,,,,,,,,\n94,xmltodict,martinblech/xmltodict,,data-loading,https://github.com/martinblech/xmltodict,https://github.com/martinblech/xmltodict,MIT,2012-04-17 14:38:21.000000,2020-11-05 01:54:38.000000,2020-04-26 05:15:03.000000,398,63.0,135.0,4261,205.0,Python module that makes working with XML feel like you are working with JSON.,41.0,30,True,2019-02-11 07:00:26.000000,0.12.0,27.0,xmltodict,conda-forge/xmltodict,,,,29260.0,21026.0,https://pypi.org/project/xmltodict,2019-02-11 07:00:26.000000,8234.0,2945187.0,2957128.0,https://anaconda.org/conda-forge/xmltodict,2019-02-11 11:53:14.803000,644819.0,,,,,2.0,,,,,,,,,-2.0,,,,,,,,,,,,,\n95,Tesseract,madmaze/pytesseract,,ocr,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000000,2021-02-01 16:53:57.000000,2021-02-01 16:53:56.000000,504,7.0,239.0,3401,359.0,Python-tesseract is an optical character recognition (OCR) tool for python.,36.0,30,True,2020-12-15 05:24:52.000000,0.3.7,24.0,pytesseract,conda-forge/pytesseract,,,,1428.0,,https://pypi.org/project/pytesseract,2020-12-15 05:24:52.000000,1428.0,449207.0,451308.0,https://anaconda.org/conda-forge/pytesseract,2020-11-20 10:05:14.874000,39923.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n96,MLxtend,rasbt/mlxtend,,sklearn-utils,https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16.000000,2021-01-23 20:32:21.000000,2021-01-09 21:38:09.000000,694,101.0,262.0,3318,1152.0,A library of extension and helper modules for Python's data analysis and machine learning libraries.,79.0,30,True,2020-11-26 04:18:15.000000,0.18.0,46.0,mlxtend,conda-forge/mlxtend,,,['sklearn'],2649.0,2459.0,https://pypi.org/project/mlxtend,2020-11-26 04:18:15.000000,190.0,131838.0,135346.0,https://anaconda.org/conda-forge/mlxtend,2020-11-26 05:32:00.667000,150871.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n97,bqplot,bqplot/bqplot,,data-viz,https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18.000000,2021-02-03 15:19:31.000000,2021-01-21 17:18:45.000000,405,185.0,323.0,3002,3216.0,Plotting library for IPython/Jupyter notebooks.,51.0,30,True,2021-01-14 14:22:16.000000,0.12.21,89.0,bqplot,conda-forge/bqplot,,,['jupyter'],1323.0,1201.0,https://pypi.org/project/bqplot,2021-01-14 14:19:33.000000,112.0,12344.0,160531.0,https://anaconda.org/conda-forge/bqplot,2021-01-14 14:38:26.569000,475299.0,,,,,2.0,,,bqplot,https://www.npmjs.com/package/bqplot,2021-01-14 14:17:47.627000,10.0,139849.0,,,,,,,,,,,,,,,\n98,wandb client,wandb/client,,ml-experiments,https://github.com/wandb/client,https://github.com/wandb/client,MIT,2017-03-24 05:46:23.000000,2021-02-04 14:18:08.000000,2021-02-03 22:38:17.000000,188,240.0,661.0,2682,3789.0,A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.,74.0,30,True,2021-02-02 06:35:34.000000,0.10.17,187.0,wandb,,,,,2033.0,1955.0,https://pypi.org/project/wandb,2021-02-02 04:56:05.000000,78.0,179205.0,179205.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n99,torchtext,pytorch/text,,nlp,https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000000,2021-02-04 12:36:31.000000,2021-01-26 18:46:24.000000,598,263.0,313.0,2638,706.0,Data loaders and abstractions for text and NLP.,104.0,30,True,2020-12-10 17:03:55.000000,0.8.1,12.0,torchtext,,,,['pytorch'],4389.0,3707.0,https://pypi.org/project/torchtext,2020-12-10 16:28:00.000000,682.0,69571.0,69571.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n100,mrjob,Yelp/mrjob,,data-pipelines,https://github.com/Yelp/mrjob,https://github.com/Yelp/mrjob,Apache-2.0,2010-10-13 18:35:21.000000,2020-12-24 22:44:29.424000,2020-11-16 22:20:52.000000,590,200.0,1089.0,2528,8622.0,Run MapReduce jobs on Hadoop or Amazon Web Services.,142.0,30,True,2020-09-17 22:26:01.000000,0.7.4,60.0,mrjob,conda-forge/mrjob,,,,781.0,669.0,https://pypi.org/project/mrjob,2020-09-17 22:26:01.000000,112.0,67381.0,73316.0,https://anaconda.org/conda-forge/mrjob,2020-12-24 22:44:29.424000,314575.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n101,scikit-optimize,scikit-optimize/scikit-optimize,,hyperopt,https://github.com/scikit-optimize/scikit-optimize,https://github.com/scikit-optimize/scikit-optimize,BSD-3-Clause,2016-03-20 21:10:54.000000,2021-01-26 12:57:18.000000,2020-12-31 12:07:52.000000,366,165.0,358.0,2022,1541.0,Sequential model-based optimization with a `scipy.optimize` interface.,68.0,30,True,2020-09-04 09:08:10.000000,0.8.1,22.0,scikit-optimize,conda-forge/scikit-optimize,,,,1497.0,1337.0,https://pypi.org/project/scikit-optimize,2020-09-04 09:08:10.000000,160.0,299113.0,303755.0,https://anaconda.org/conda-forge/scikit-optimize,2020-09-04 09:50:52.372000,199619.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n102,smart-open,RaRe-Technologies/smart_open,,data-loading,https://github.com/RaRe-Technologies/smart_open,https://github.com/RaRe-Technologies/smart_open,MIT,2015-01-02 13:05:52.000000,2021-01-18 12:33:22.000000,2021-01-18 12:01:20.000000,271,51.0,240.0,1918,889.0,\"Utils for streaming large files (S3, HDFS, gzip, bz2...).\",72.0,30,True,2021-01-18 06:44:54.000000,4.1.2,46.0,smart-open,,,,,640.0,,https://pypi.org/project/smart-open,2021-01-18 06:44:54.000000,640.0,5235807.0,5235807.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n103,opencv-python,skvark/opencv-python,,image,https://github.com/opencv/opencv-python,https://github.com/opencv/opencv-python,MIT,2016-04-08 13:36:40.000000,2021-01-03 16:32:34.000000,2020-12-28 18:40:12.000000,314,17.0,373.0,1708,749.0,\"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..\",27.0,30,True,2021-01-03 17:36:16.000000,47,47.0,opencv-python,,,,,12560.0,,https://pypi.org/project/opencv-python,2021-01-02 12:15:05.000000,12560.0,1358384.0,1358384.0,,,,,,,,2.0,,,,,,,,,,,,,opencv/opencv-python,,,,,,,,,\n104,Rasterio,mapbox/rasterio,,geospatial-data,https://github.com/mapbox/rasterio,https://github.com/mapbox/rasterio,BSD-3-Clause,2013-11-04 16:36:27.000000,2021-02-02 22:30:46.000000,2021-02-02 22:30:46.000000,390,137.0,1203.0,1424,3260.0,Rasterio reads and writes geospatial raster datasets.,107.0,30,True,2021-01-25 14:37:50.000000,1.2.0,121.0,rasterio,conda-forge/rasterio,,,,3539.0,2689.0,https://pypi.org/project/rasterio,2021-01-25 14:37:50.000000,850.0,120415.0,135044.0,https://anaconda.org/conda-forge/rasterio,2021-01-25 20:18:49.736000,862568.0,,,,,2.0,702.0,,,,,,,,,,,,,,,,,,,,,\n105,SageMaker SDK,aws/sagemaker-python-sdk,,ml-experiments,https://github.com/aws/sagemaker-python-sdk,https://github.com/aws/sagemaker-python-sdk,Apache-2.0,2017-11-14 01:03:33.000000,2021-02-04 02:39:51.000000,2021-02-03 17:58:29.000000,561,219.0,518.0,1304,1829.0,A library for training and deploying machine learning models on Amazon SageMaker.,165.0,30,True,2021-02-03 18:00:28.000000,2.24.2,306.0,sagemaker,,,,\"['mxnet', 'tensorflow']\",609.0,581.0,https://pypi.org/project/sagemaker,2021-02-03 18:00:28.000000,28.0,277355.0,277355.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n106,TF Addons,tensorflow/addons,,tensorflow-utils,https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17.000000,2021-02-03 02:14:46.000000,2021-02-03 02:14:45.000000,421,172.0,619.0,1185,1328.0,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,147.0,30,True,2021-01-30 13:40:21.000000,0.12.1,25.0,tensorflow-addons,,,,['tensorflow'],2168.0,2150.0,https://pypi.org/project/tensorflow-addons,2021-01-30 13:59:33.000000,18.0,200296.0,200296.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n107,Wand,emcconville/wand,,image,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000000,2021-01-21 00:40:18.000000,2021-01-20 17:50:49.000000,183,13.0,319.0,1051,1679.0,The ctypes-based simple ImageMagick binding for Python.,94.0,30,True,2020-11-29 20:47:13.000000,0.6.5,47.0,wand,,,,,4397.0,3227.0,https://pypi.org/project/wand,2020-11-29 20:40:49.000000,1170.0,109331.0,109523.0,,,,,,,,2.0,5203.0,,,,,,,,,,,,,,,,,,,,,\n108,Nilearn,nilearn/nilearn,,medical-data,https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000000,2021-02-04 15:01:06.000000,2021-02-03 09:27:59.000000,373,378.0,1127.0,699,9297.0,Machine learning for NeuroImaging in Python.,159.0,30,True,2020-11-12 11:44:49.000000,0.7.0,35.0,nilearn,conda-forge/nilearn,,,['sklearn'],1181.0,879.0,https://pypi.org/project/nilearn,2020-11-12 11:44:49.000000,302.0,6922.0,8309.0,https://anaconda.org/conda-forge/nilearn,2020-11-12 13:26:03.600000,79068.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n109,snowballstemmer,snowballstem/snowball,,nlp,https://github.com/snowballstem/snowball,https://github.com/snowballstem/snowball,BSD-3-Clause,2013-02-23 07:17:42.000000,2021-02-03 06:20:01.000000,2021-02-02 19:23:41.000000,133,17.0,42.0,470,846.0,Snowball compiler and stemming algorithms.,25.0,30,True,2021-01-21 11:43:00.000000,2.1.0,9.0,snowballstemmer,conda-forge/snowballstemmer,,,,56689.0,43507.0,https://pypi.org/project/snowballstemmer,2021-01-21 11:43:00.000000,13182.0,1904069.0,1941845.0,https://anaconda.org/conda-forge/snowballstemmer,2021-01-21 23:16:54.597000,2039911.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n110,Face Recognition,ageitgey/face_recognition,,image,https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39.000000,2020-12-19 11:44:26.000000,2020-09-26 15:32:59.000000,10613,564.0,529.0,38429,211.0,The world's simplest facial recognition api for Python and the command line.,45.0,29,True,2018-08-21 18:34:21.000000,1.2.3,21.0,face_recognition,,,,['pytorch'],406.0,,https://pypi.org/project/face_recognition,2018-08-21 18:34:21.000000,406.0,18589.0,18598.0,,,,,,,,2.0,438.0,,,,,,,,,,,,,,,,,,,,,\n111,Magenta,magenta/magenta,,audio,https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40.000000,2021-02-01 20:01:54.000000,2021-02-01 20:01:48.000000,3297,293.0,540.0,16232,1377.0,Magenta: Music and Art Generation with Machine Intelligence.,145.0,29,True,2020-11-12 19:17:18.000000,2.1.3,66.0,magenta,,,,['tensorflow'],301.0,266.0,https://pypi.org/project/magenta,2020-11-12 19:17:18.000000,35.0,2886.0,2886.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n112,Faiss,facebookresearch/faiss,,nn-search,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000000,2021-02-04 13:27:14.000000,2021-02-03 20:21:40.000000,2074,98.0,1263.0,12404,441.0,A library for efficient similarity search and clustering of dense vectors.,75.0,29,True,2021-01-21 05:32:04.000000,0.4.0,44.0,pymilvus,conda-forge/faiss,,,,308.0,302.0,https://pypi.org/project/pymilvus,2021-01-21 05:32:04.000000,6.0,5902.0,8532.0,https://anaconda.org/conda-forge/faiss,2020-12-12 16:36:49.740000,23678.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n113,Prophet,facebook/prophet,,time-series-data,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000000,2021-02-01 18:01:17.000000,2021-01-27 01:56:06.000000,3461,80.0,1432.0,12203,615.0,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,126.0,29,True,2020-09-05 16:12:50.000000,0.7.1,14.0,fbprophet,,,,,150.0,,https://pypi.org/project/fbprophet,2020-09-05 16:12:50.000000,150.0,424172.0,424183.0,,,,,,,,1.0,543.0,,,,,,,,,,,,,,,,,,,,,\n114,Turi Create,apple/turicreate,,ml-frameworks,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04.000000,2021-02-02 21:52:08.000000,2021-02-02 21:52:07.000000,1060,465.0,1251.0,10123,1566.0,Turi Create simplifies the development of custom machine learning models.,81.0,29,True,2020-09-30 22:51:40.000000,6.4.1,31.0,turicreate,,,,,254.0,220.0,https://pypi.org/project/turicreate,2020-09-30 22:51:40.000000,34.0,9750.0,9845.0,,,,,,,,2.0,3612.0,,,,,,,,,,,,,,,,,,,,,\n115,TFlearn,tflearn/tflearn,,ml-frameworks,https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,MIT,2016-03-31 12:05:53.000000,2021-01-25 09:41:59.000000,2020-11-30 04:34:51.000000,2423,574.0,359.0,9515,613.0,Deep learning library featuring a higher-level API for TensorFlow.,128.0,29,True,2020-11-11 19:26:11.000000,0.5.0,8.0,tflearn,,,,['tensorflow'],3467.0,2986.0,https://pypi.org/project/tflearn,2020-11-11 19:13:47.000000,481.0,7669.0,7669.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n116,Lime,marcotcr/lime,,interpretability,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10.000000,2021-02-04 08:58:12.000000,2021-01-12 16:12:17.000000,1360,48.0,441.0,8394,508.0,Lime: Explaining the predictions of any machine learning classifier.,57.0,29,True,2020-04-03 22:05:03.000000,0.2.0.0,37.0,lime,conda-forge/lime,,,,1167.0,1039.0,https://pypi.org/project/lime,2020-04-03 22:04:32.000000,128.0,111286.0,112551.0,https://anaconda.org/conda-forge/lime,2020-06-28 01:02:41.538000,63269.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n117,Annoy,spotify/annoy,,nn-search,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40.000000,2021-01-20 15:53:49.000000,2020-12-03 18:21:18.000000,869,29.0,265.0,8096,785.0,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,68.0,29,True,2020-09-18 16:07:59.000000,1.17.0,43.0,annoy,,,,,1795.0,1435.0,https://pypi.org/project/annoy,2020-09-18 16:07:59.000000,360.0,149426.0,149426.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n118,fuzzywuzzy,seatgeek/fuzzywuzzy,,nlp,https://github.com/seatgeek/fuzzywuzzy,https://github.com/seatgeek/fuzzywuzzy,GPL-2.0,2011-07-08 19:32:34.000000,2020-12-19 18:34:54.000000,2020-02-13 22:13:43.000000,795,84.0,96.0,7823,379.0,Fuzzy String Matching in Python.,67.0,29,False,2020-02-13 22:14:12.000000,0.18.0,27.0,fuzzywuzzy,conda-forge/fuzzywuzzy,,,,11020.0,7814.0,https://pypi.org/project/fuzzywuzzy,2020-02-13 21:06:25.000000,3206.0,2176812.0,2181872.0,https://anaconda.org/conda-forge/fuzzywuzzy,2020-11-18 12:59:01.409000,278322.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n119,TPOT,EpistasisLab/tpot,,hyperopt,https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40.000000,2021-01-12 15:06:12.000000,2021-01-06 15:17:46.000000,1368,196.0,586.0,7792,2368.0,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,108.0,29,False,2021-01-06 15:20:08.000000,0.11.7,60.0,tpot,conda-forge/tpot,,,['sklearn'],888.0,808.0,https://pypi.org/project/tpot,2021-01-06 15:20:08.000000,80.0,29431.0,31382.0,https://anaconda.org/conda-forge/tpot,2020-12-14 22:49:13.925000,103418.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n120,TextBlob,sloria/TextBlob,,nlp,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18.000000,2021-01-11 13:19:48.000000,2021-01-11 13:18:33.000000,949,71.0,150.0,7530,535.0,\"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..\",33.0,29,True,2019-02-24 23:03:17.000000,0.15.3,55.0,textblob,conda-forge/textblob,,,,12621.0,10129.0,https://pypi.org/project/textblob,2019-02-24 23:03:17.000000,2492.0,187756.0,189797.0,https://anaconda.org/conda-forge/textblob,2019-02-24 23:32:55.233000,110216.0,,,,,2.0,88.0,,,,,,,,,,,,,,,,,,,,,\n121,MoviePy,Zulko/moviepy,,image,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000000,2021-01-27 09:20:28.000000,2021-01-27 09:20:26.000000,1021,337.0,700.0,7262,1011.0,Video editing with Python.,137.0,29,True,2020-05-07 16:29:35.000000,1.0.3,84.0,moviepy,conda-forge/moviepy,,,,7031.0,5901.0,https://pypi.org/project/moviepy,2020-10-05 00:26:29.000000,1130.0,94911.0,96611.0,https://anaconda.org/conda-forge/moviepy,2020-02-23 19:57:49.975000,73119.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n122,glfw,glfw/glfw,,image,https://github.com/glfw/glfw,https://github.com/glfw/glfw,Zlib,2013-04-18 15:24:53.000000,2021-01-31 14:31:17.000000,2021-01-18 22:52:27.000000,2649,422.0,991.0,7214,4214.0,\"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.\",168.0,29,False,2020-10-04 13:37:52.000000,2.0.0,37.0,glfw,conda-forge/glfw,,,,214.0,,https://pypi.org/project/glfw,2020-10-04 13:37:52.000000,214.0,15695.0,47523.0,https://anaconda.org/conda-forge/glfw,2020-03-20 11:09:31.058000,22989.0,,,,,2.0,2191879.0,,,,,,,,,,,,,,,,,,,,,\n123,pandas-profiling,pandas-profiling/pandas-profiling,,data-viz,https://github.com/pandas-profiling/pandas-profiling,https://github.com/pandas-profiling/pandas-profiling,MIT,2016-01-09 23:47:55.000000,2021-02-04 03:03:53.000000,2021-02-04 03:03:51.000000,987,66.0,357.0,6699,736.0,Create HTML profiling reports from pandas DataFrame objects.,65.0,29,True,2020-09-03 10:11:24.000000,2.9.0,25.0,pandas-profiling,conda-forge/pandas-profiling,,,\"['jupyter', 'pandas']\",3141.0,2981.0,https://pypi.org/project/pandas-profiling,2020-09-03 10:11:24.000000,160.0,131152.0,133014.0,https://anaconda.org/conda-forge/pandas-profiling,2021-01-09 04:39:21.551000,100572.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n124,Datasets,huggingface/datasets,,data-loading,https://github.com/huggingface/datasets,https://github.com/huggingface/datasets,Apache-2.0,2020-03-26 09:23:22.000000,2021-02-04 15:30:43.000000,2021-02-03 15:13:48.000000,693,193.0,332.0,6680,1289.0,\"The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools.\",216.0,29,True,2021-01-13 15:29:57.000000,1.2.1,13.0,datasets,,,,,335.0,317.0,https://pypi.org/project/datasets,2021-01-04 18:33:23.000000,18.0,21101.0,21101.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n125,Autograd,HIPS/autograd,,others,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23.000000,2020-12-28 18:04:28.000000,2019-11-18 14:32:40.000000,712,161.0,216.0,5114,1375.0,Efficiently computes derivatives of numpy code.,51.0,29,False,2017-08-24 17:00:41.000000,1.1.13,24.0,autograd,conda-forge/autograd,,,,1813.0,1469.0,https://pypi.org/project/autograd,2019-07-25 16:21:07.000000,344.0,387623.0,390474.0,https://anaconda.org/conda-forge/autograd,2019-07-25 18:29:55.493000,153981.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n126,Pydub,jiaaro/pydub,,audio,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38.000000,2021-01-30 07:53:48.000000,2021-01-18 04:33:23.000000,692,177.0,234.0,5086,726.0,Manipulate audio with a simple and easy high level interface.,80.0,29,True,2020-06-03 15:23:56.000000,0.24.1,66.0,pydub,conda-forge/pydub,,,,7229.0,5875.0,https://pypi.org/project/pydub,2020-06-03 15:23:56.000000,1354.0,102273.0,102756.0,https://anaconda.org/conda-forge/pydub,2019-02-02 16:23:09.348000,12573.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n127,imbalanced-learn,scikit-learn-contrib/imbalanced-learn,,sklearn-utils,https://github.com/scikit-learn-contrib/imbalanced-learn,https://github.com/scikit-learn-contrib/imbalanced-learn,MIT,2014-08-16 05:08:26.000000,2021-02-04 08:50:52.000000,2020-11-03 21:43:11.000000,1059,46.0,402.0,5008,701.0,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,51.0,29,True,2020-06-09 10:45:32.000000,0.7.0,26.0,imbalanced-learn,conda-forge/imbalanced-learn,,,['sklearn'],4258.0,3978.0,https://pypi.org/project/imbalanced-learn,2020-06-09 10:39:03.000000,280.0,438624.0,441322.0,https://anaconda.org/conda-forge/imbalanced-learn,2020-06-14 14:47:57.352000,107946.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n128,yfinance,ranaroussi/yfinance,,financial-data,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000000,2021-01-31 22:07:30.000000,2021-01-18 14:16:47.000000,1041,327.0,175.0,4101,247.0,Yahoo! Finance market data downloader (+faster Pandas Datareader).,28.0,29,True,2020-10-05 12:19:44.000000,0.1.55,20.0,yfinance,ranaroussi/yfinance,,,,2925.0,2899.0,https://pypi.org/project/yfinance,2020-10-05 12:19:44.000000,26.0,78534.0,80394.0,https://anaconda.org/ranaroussi/yfinance,2019-12-27 21:30:44.606000,33496.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n129,TinyDB,msiemens/tinydb,,data-containers,https://github.com/msiemens/tinydb,https://github.com/msiemens/tinydb,MIT,2013-07-12 23:31:13.000000,2021-01-23 15:29:31.000000,2021-01-23 15:29:24.000000,366,8.0,240.0,3984,604.0,TinyDB is a lightweight document oriented database optimized for your happiness :).,62.0,29,True,2020-11-14 21:02:31.000000,4.3.0,58.0,tinydb,conda-forge/tinydb,,,,1118.0,,https://pypi.org/project/tinydb,2020-11-14 21:02:29.000000,1118.0,117075.0,118883.0,https://anaconda.org/conda-forge/tinydb,2020-11-14 22:52:17.151000,101303.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n130,sacred,IDSIA/sacred,,ml-experiments,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29.000000,2021-01-18 13:36:24.000000,2021-01-12 12:37:55.000000,314,92.0,399.0,3288,1300.0,\"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.\",91.0,29,True,2020-12-14 15:21:05.000000,0.8.2,27.0,sacred,,,,,949.0,795.0,https://pypi.org/project/sacred,2020-12-14 15:21:05.000000,154.0,10690.0,10690.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n131,Koalas,databricks/koalas,,data-containers,https://github.com/databricks/koalas,https://github.com/databricks/koalas,Apache-2.0,2019-01-03 21:46:54.000000,2021-02-04 01:05:45.000000,2021-02-03 01:18:20.000000,298,92.0,424.0,2620,1460.0,Koalas: pandas API on Apache Spark.,47.0,29,True,2021-01-22 09:42:01.000000,1.6.0,43.0,koalas,conda-forge/koalas,,,\"['spark', 'pandas']\",75.0,73.0,https://pypi.org/project/koalas,2021-01-22 09:42:01.000000,2.0,547844.0,551495.0,https://anaconda.org/conda-forge/koalas,2021-01-22 12:57:15.187000,75775.0,,,,,2.0,996.0,,,,,,,,,,,,,,,,,,,,,\n132,dbt,fishtown-analytics/dbt,,data-pipelines,https://github.com/fishtown-analytics/dbt,https://github.com/fishtown-analytics/dbt,Apache-2.0,2016-03-10 02:38:00.000000,2021-02-03 22:43:01.000000,2021-01-27 22:16:13.000000,489,268.0,1444.0,2470,2481.0,dbt (data build tool) enables data analysts and engineers to transform their data using the same practices that..,133.0,29,True,2021-01-27 18:24:45.000000,0.19.0,143.0,dbt,conda-forge/dbt,,,,200.0,182.0,https://pypi.org/project/dbt,2021-01-27 18:03:11.000000,18.0,93585.0,96517.0,https://anaconda.org/conda-forge/dbt,2020-05-14 13:55:32.153000,149566.0,,,,,2.0,,,,,,,,,,dbt,,,,,,,,,,,,\n133,PyQtGraph,pyqtgraph/pyqtgraph,,data-viz,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21.000000,2021-02-04 07:15:58.000000,2021-02-04 07:15:57.000000,811,264.0,465.0,2292,2452.0,Fast data visualization and GUI tools for scientific / engineering applications.,183.0,29,True,2020-12-20 02:41:29.000000,pyqtgraph-0.11.1,12.0,pyqtgraph,conda-forge/pyqtgraph,,,,890.0,,https://pypi.org/project/pyqtgraph,2020-12-20 02:43:22.000000,890.0,22224.0,25500.0,https://anaconda.org/conda-forge/pyqtgraph,2020-12-20 05:06:42.442000,160546.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n134,hmmlearn,hmmlearn/hmmlearn,,probabilistics,https://github.com/hmmlearn/hmmlearn,https://github.com/hmmlearn/hmmlearn,BSD-3-Clause,2014-03-23 10:33:09.000000,2021-02-03 14:32:44.000000,2021-02-03 14:21:22.000000,631,67.0,278.0,2177,354.0,\"Hidden Markov Models in Python, with scikit-learn like API.\",32.0,29,True,2021-02-03 14:33:20.000000,0.2.5,7.0,hmmlearn,conda-forge/hmmlearn,,,['sklearn'],1075.0,869.0,https://pypi.org/project/hmmlearn,2021-02-03 14:32:44.000000,206.0,78804.0,81040.0,https://anaconda.org/conda-forge/hmmlearn,2021-01-22 00:32:31.425000,60372.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n135,pandas-datareader,pydata/pandas-datareader,,data-loading,https://github.com/pydata/pandas-datareader,https://github.com/pydata/pandas-datareader,BSD-3-Clause,2015-01-15 00:34:19.000000,2021-02-03 09:10:36.000000,2020-12-31 11:58:23.000000,500,74.0,370.0,1850,764.0,Extract data from a wide range of Internet sources into a pandas DataFrame.,77.0,29,True,2020-07-10 10:04:14.000000,0.9.0,21.0,pandas-datareader,conda-forge/pandas-datareader,,,['pandas'],9092.0,7686.0,https://pypi.org/project/pandas-datareader,2020-07-10 10:04:14.000000,1406.0,83392.0,85366.0,https://anaconda.org/conda-forge/pandas-datareader,2019-11-20 10:38:42.074000,90820.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n136,HoloViews,holoviz/holoviews,,data-viz,https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000000,2021-02-04 14:12:03.000000,2021-02-02 18:22:27.000000,303,692.0,1821.0,1799,10130.0,\"With Holoviews, your data visualizes itself.\",101.0,29,True,2021-01-27 18:07:05.000000,1.14.1,62.0,holoviews,conda-forge/holoviews,,,['jupyter'],170.0,,https://pypi.org/project/holoviews,2021-01-28 14:38:15.000000,170.0,64775.0,80113.0,https://anaconda.org/conda-forge/holoviews,2020-12-28 13:23:01.410000,414095.0,,,,,2.0,,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,2020-05-24 13:49:54.205000,,8074.0,,,,,,,,,,,,,,,\n137,Lifelines,CamDavidsonPilon/lifelines,,medical-data,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42.000000,2021-01-22 15:03:27.000000,2021-01-22 15:02:15.000000,411,189.0,588.0,1545,2084.0,Survival analysis in Python.,90.0,29,True,2021-01-22 15:03:27.000000,0.25.8,153.0,lifelines,conda-forge/lifelines,,,,616.0,490.0,https://pypi.org/project/lifelines,2021-01-22 15:03:27.000000,126.0,85031.0,87253.0,https://anaconda.org/conda-forge/lifelines,2020-12-10 02:47:14.864000,124450.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n138,Geocoder,DenisCarriere/geocoder,,geospatial-data,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21.000000,2020-12-30 04:09:42.000000,2018-10-12 15:53:05.000000,252,63.0,216.0,1323,1251.0,Python Geocoder.,74.0,29,False,2018-04-04 12:34:51.000000,1.38.1,108.0,geocoder,conda-forge/geocoder,,,,3595.0,3019.0,https://pypi.org/project/geocoder,2018-04-04 12:34:51.000000,576.0,167639.0,169448.0,https://anaconda.org/conda-forge/geocoder,2019-06-27 16:40:50.469000,86865.0,,,,,2.0,,,,,,,,,,,,,,geocoder,,,,,,,,\n139,Graphviz,xflr6/graphviz,,data-viz,https://github.com/xflr6/graphviz,https://github.com/xflr6/graphviz,MIT,2014-01-12 17:49:29.000000,2021-01-22 09:02:12.000000,2021-01-18 19:38:58.000000,142,9.0,96.0,913,450.0,Simple Python interface for Graphviz.,15.0,29,True,2020-10-07 09:06:41.000000,0.14.2,47.0,graphviz,,,,,21717.0,17335.0,https://pypi.org/project/graphviz,2020-12-24 16:17:24.000000,4382.0,1748005.0,1748005.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n140,TensorFlow Transform,tensorflow/transform,,tensorflow-utils,https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53.000000,2021-02-03 20:39:47.000000,2021-02-03 20:39:41.000000,166,33.0,115.0,850,582.0,Input pipeline framework.,27.0,29,True,2021-01-27 23:13:00.000000,0.27.0,33.0,tensorflow-transform,,,,['tensorflow'],488.0,404.0,https://pypi.org/project/tensorflow-transform,2020-12-16 21:35:23.000000,84.0,4534264.0,4534264.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n141,snakemake,snakemake/snakemake,,ml-experiments,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867000,2021-02-04 10:23:31.000000,2021-02-03 19:41:53.000000,189,325.0,208.0,839,3954.0,\"This is the development home of the workflow management system Snakemake. For general information, see.\",195.0,29,True,2021-01-15 13:36:23.000000,5.32.0,159.0,snakemake,bioconda/snakemake,,,,1024.0,736.0,https://pypi.org/project/snakemake,2021-01-15 13:37:08.000000,288.0,6226.0,10484.0,https://anaconda.org/bioconda/snakemake,2021-01-20 23:07:32.614000,272540.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n142,Fiona,Toblerity/Fiona,,geospatial-data,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00.000000,2021-01-27 02:46:08.000000,2020-11-30 07:11:40.000000,165,69.0,546.0,774,1093.0,Fiona reads and writes geographic data files.,65.0,29,True,2020-11-17 18:32:17.000000,1.8.18,96.0,fiona,conda-forge/fiona,,,,6150.0,4962.0,https://pypi.org/project/fiona,2020-11-17 18:32:17.000000,1188.0,382752.0,411198.0,https://anaconda.org/conda-forge/fiona,2020-11-17 20:48:12.542000,1678362.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n143,Bottleneck,pydata/bottleneck,,data-containers,https://github.com/pydata/bottleneck,https://github.com/pydata/bottleneck,BSD-2-Clause,2010-11-27 23:21:22.000000,2021-01-24 18:54:13.000000,2021-01-24 18:39:03.000000,65,25.0,177.0,576,1241.0,Fast NumPy array functions written in C.,21.0,29,True,2020-02-21 06:22:16.000000,1.3.2,21.0,Bottleneck,conda-forge/bottleneck,,,,21570.0,18678.0,https://pypi.org/project/Bottleneck,2020-02-21 06:22:16.000000,2892.0,122434.0,146902.0,https://anaconda.org/conda-forge/bottleneck,2021-01-21 02:48:32.623000,1394682.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n144,pyproj,pyproj4/pyproj,,geospatial-data,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000000,2021-01-08 01:17:08.000000,2021-01-08 01:15:13.000000,147,7.0,376.0,567,1099.0,Python interface to PROJ (cartographic projections and coordinate transformations library).,39.0,29,True,2020-11-05 13:39:29.000000,3.0.0.post1,34.0,pyproj,conda-forge/pyproj,,,,10881.0,8419.0,https://pypi.org/project/pyproj,2020-11-05 14:28:45.000000,2462.0,886625.0,917424.0,https://anaconda.org/conda-forge/pyproj,2020-11-06 22:55:31.654000,1909588.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n145,NIPYPE,nipy/nipype,,medical-data,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000000,2021-02-04 13:35:26.000000,2020-12-08 17:16:40.000000,439,312.0,873.0,549,14049.0,Workflows and interfaces for neuroimaging packages.,212.0,29,True,2020-09-17 18:44:32.000000,1.5.1,54.0,nipype,conda-forge/nipype,,,,700.0,508.0,https://pypi.org/project/nipype,2020-08-16 18:30:16.000000,192.0,7723.0,14107.0,https://anaconda.org/conda-forge/nipype,2020-11-28 17:44:51.813000,351156.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n146,NiBabel,nipy/nibabel,,medical-data,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30.000000,2021-02-01 16:18:25.000000,2021-02-01 16:18:24.000000,214,112.0,285.0,386,4947.0,Python package to access a cacophony of neuro-imaging file formats.,89.0,29,True,2020-11-28 22:19:50.000000,3.2.1,32.0,nibabel,conda-forge/nibabel,,,,4877.0,3613.0,https://pypi.org/project/nibabel,2020-11-28 22:18:23.000000,1264.0,34377.0,39593.0,https://anaconda.org/conda-forge/nibabel,2020-11-29 03:40:05.178000,297345.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n147,baselines,openai/baselines,,reinforcement-learning,https://github.com/openai/baselines,https://github.com/openai/baselines,MIT,2017-05-24 01:58:13.000000,2021-02-01 01:42:19.000000,2020-01-31 13:06:18.000000,3865,453.0,423.0,11110,347.0,OpenAI Baselines: high-quality implementations of reinforcement learning algorithms.,114.0,28,False,2018-02-26 17:07:07.000000,0.1.5,6.0,baselines,,,,,319.0,282.0,https://pypi.org/project/baselines,2018-02-26 17:07:07.000000,37.0,22777.0,22777.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n148,PyTorch Geometric,rusty1s/pytorch_geometric,,graph,https://github.com/rusty1s/pytorch_geometric,https://github.com/rusty1s/pytorch_geometric,MIT,2017-10-06 16:03:03.000000,2021-02-03 17:27:08.000000,2021-02-01 20:51:50.000000,1739,702.0,1102.0,10139,4079.0,Geometric Deep Learning Extension Library for PyTorch.,138.0,28,True,2020-12-02 14:57:09.000000,1.6.3,25.0,torch-geometric,,,,['pytorch'],24.0,,https://pypi.org/project/torch-geometric,2020-11-27 07:18:41.000000,24.0,10841.0,10841.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n149,Albumentations,albumentations-team/albumentations,,image,https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000000,2021-02-03 04:17:59.000000,2021-02-03 04:17:58.000000,922,176.0,237.0,7214,619.0,Fast image augmentation library and easy to use wrapper around other libraries. Documentation:..,73.0,28,True,2020-11-29 14:30:07.000000,0.5.2,44.0,albumentations,conda-forge/albumentations,,,['pytorch'],2784.0,2656.0,https://pypi.org/project/albumentations,2020-11-29 14:30:07.000000,128.0,44825.0,45556.0,https://anaconda.org/conda-forge/albumentations,2020-11-29 15:51:47.610000,14629.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n150,Pyro,pyro-ppl/pyro,,probabilistics,https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000000,2021-02-03 22:00:50.000000,2021-02-03 22:00:49.000000,813,144.0,680.0,6715,2139.0,Deep universal probabilistic programming with Python and PyTorch.,103.0,28,True,2021-02-01 23:22:45.000000,1.5.2,24.0,pyro-ppl,,,,['pytorch'],414.0,378.0,https://pypi.org/project/pyro-ppl,2020-11-17 23:22:46.000000,36.0,12863.0,12863.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n151,tensorpack,tensorpack/tensorpack,,ml-frameworks,https://github.com/tensorpack/tensorpack,https://github.com/tensorpack/tensorpack,Apache-2.0,2015-12-25 23:08:44.000000,2021-01-22 08:44:03.000000,2021-01-22 08:43:22.000000,1760,14.0,1300.0,5915,2928.0,\"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.\",55.0,28,True,2020-04-24 19:01:06.000000,0.10.1,37.0,tensorpack,,,,['tensorflow'],751.0,675.0,https://pypi.org/project/tensorpack,2021-01-22 08:44:03.000000,76.0,15456.0,15458.0,,,,,,,,3.0,113.0,,,,,,,,,,,,,,,,,,,,,\n152,Modin,modin-project/modin,,data-containers,https://github.com/modin-project/modin,https://github.com/modin-project/modin,Apache-2.0,2018-06-21 21:35:05.000000,2021-02-04 14:52:06.000000,2021-02-04 07:36:28.000000,383,420.0,1086.0,5698,1251.0,Modin: Speed up your Pandas workflows by changing a single line of code.,68.0,28,True,2021-01-12 14:40:18.000000,0.8.3,36.0,modin,,,,['pandas'],313.0,295.0,https://pypi.org/project/modin,2021-01-12 14:40:18.000000,18.0,41425.0,47720.0,,,,,,,,2.0,195173.0,,,,,,,,,,,,,,,,,,,,,\n153,faust,robinhood/faust,,data-pipelines,https://github.com/robinhood/faust,https://github.com/robinhood/faust,BSD-3-Clause,2017-03-08 18:36:11.000000,2021-01-21 01:53:26.000000,2020-10-09 12:59:42.000000,435,233.0,221.0,5273,4137.0,Python Stream Processing.,91.0,28,True,2020-02-25 22:57:18.000000,1.10.4,46.0,faust,,,,,647.0,619.0,https://pypi.org/project/faust,2020-02-25 22:57:18.000000,28.0,77439.0,77439.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n154,stanza,stanfordnlp/stanza,,nlp,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56.000000,2021-02-03 22:22:50.000000,2021-01-27 23:00:47.000000,647,60.0,404.0,5165,1846.0,Official Stanford NLP Python Library for Many Human Languages.,32.0,28,True,2021-01-29 20:05:25.000000,1.2.0,10.0,stanza,stanfordnlp/stanza,,,,322.0,318.0,https://pypi.org/project/stanza,2021-01-27 16:31:43.000000,4.0,11128.0,11411.0,https://anaconda.org/stanfordnlp/stanza,2021-01-27 22:24:06.992000,3114.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n155,OpenNMT,OpenNMT/OpenNMT-py,,nlp,https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000000,2021-01-30 11:38:48.000000,2021-01-28 11:40:16.000000,1768,90.0,1126.0,4799,2545.0,Open Source Neural Machine Translation in PyTorch.,165.0,28,True,2021-01-27 09:22:31.000000,2.0.1,28.0,OpenNMT-py,,,,['pytorch'],72.0,68.0,https://pypi.org/project/OpenNMT-py,2021-01-27 09:22:31.000000,4.0,3061.0,3061.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n156,csvkit,wireservice/csvkit,,data-loading,https://github.com/wireservice/csvkit,https://github.com/wireservice/csvkit,MIT,2011-04-01 03:00:30.000000,2021-01-25 19:13:27.000000,2020-10-30 01:59:29.000000,535,56.0,743.0,4463,1693.0,\"A suite of utilities for converting to and working with CSV, the king of tabular file formats.\",91.0,28,True,2020-03-03 03:00:28.000000,1.0.5,33.0,csvkit,conda-forge/csvkit,,,,1516.0,814.0,https://pypi.org/project/csvkit,2020-03-03 03:00:28.000000,702.0,19761.0,20724.0,https://anaconda.org/conda-forge/csvkit,2019-05-28 12:30:50.171000,45270.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n157,Tokenizers,huggingface/tokenizers,,nlp,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000000,2021-02-04 14:26:08.000000,2021-02-03 20:54:01.000000,310,80.0,297.0,4215,1434.0,Fast State-of-the-Art Tokenizers optimized for Research and Production.,40.0,28,True,2021-01-12 21:50:02.000000,0.10.0,58.0,tokenizers,conda-forge/tokenizers,,,,25.0,25.0,https://pypi.org/project/tokenizers,2021-01-12 21:50:02.000000,0.0,626197.0,629243.0,https://anaconda.org/conda-forge/tokenizers,2020-11-19 06:02:47.112000,21325.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n158,PyOD,yzhao062/pyod,,others,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04.000000,2021-01-17 01:54:30.000000,2021-01-12 18:33:37.000000,845,101.0,84.0,4132,1245.0,(JMLR'19) A Python Toolbox for Scalable Outlier Detection (Anomaly Detection).,22.0,28,True,2021-01-12 18:42:49.000000,0.8.6,64.0,pyod,,,,,480.0,474.0,https://pypi.org/project/pyod,2021-01-12 18:42:49.000000,6.0,56801.0,56801.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n159,sentence-transformers,UKPLab/sentence-transformers,,nlp,https://github.com/UKPLab/sentence-transformers,https://github.com/UKPLab/sentence-transformers,Apache-2.0,2019-07-24 10:53:51.000000,2021-01-29 08:46:31.000000,2021-01-29 08:46:18.000000,777,316.0,365.0,4087,605.0,Sentence Embeddings with BERT & XLNet.,39.0,28,True,2021-01-04 14:04:01.000000,0.4.1,29.0,sentence-transformers,,,,['pytorch'],614.0,614.0,https://pypi.org/project/sentence-transformers,2021-01-04 15:49:09.000000,0.0,254699.0,254699.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n160,DEAP,deap/deap,,distributed-ml,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39.000000,2021-02-02 13:23:25.000000,2020-12-25 17:33:18.000000,841,166.0,222.0,4067,2147.0,Distributed Evolutionary Algorithms in Python.,67.0,28,False,2020-01-21 01:18:06.000000,1.3.1,16.0,deap,conda-forge/deap,,,,2074.0,1592.0,https://pypi.org/project/deap,2020-01-21 01:18:06.000000,482.0,65126.0,67104.0,https://anaconda.org/conda-forge/deap,2021-01-13 14:43:13.393000,110798.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n161,kaggle,Kaggle/kaggle-api,,ml-experiments,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000000,2021-01-21 01:19:19.873000,2020-11-30 21:43:14.000000,776,165.0,110.0,3821,137.0,Official Kaggle API.,35.0,28,True,2020-11-30 13:37:18.000000,1.5.10,47.0,kaggle,conda-forge/kaggle,,,,5004.0,4440.0,https://pypi.org/project/kaggle,2020-11-30 13:37:18.000000,564.0,53625.0,55584.0,https://anaconda.org/conda-forge/kaggle,2021-01-21 01:19:19.873000,41149.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n162,Kornia,kornia/kornia,,image,https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000000,2021-02-04 11:31:17.000000,2021-02-04 11:31:15.000000,351,103.0,251.0,3578,1494.0,Open Source Differentiable Computer Vision Library for PyTorch.,84.0,28,True,2020-10-20 19:31:49.000000,0.4.1,12.0,kornia,,,,['pytorch'],255.0,255.0,https://pypi.org/project/kornia,2020-10-20 19:31:49.000000,0.0,13015.0,13015.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n163,imutils,jrosebr1/imutils,,image,https://github.com/jrosebr1/imutils,https://github.com/jrosebr1/imutils,MIT,2015-01-11 20:05:39.000000,2021-01-15 17:56:11.000000,2021-01-15 10:46:45.000000,871,127.0,76.0,3501,138.0,\"A series of convenience functions to make basic image processing operations such as translation, rotation, resizing,..\",20.0,28,True,2021-01-15 10:53:17.000000,0.5.4,29.0,imutils,conda-forge/imutils,,,,13163.0,11967.0,https://pypi.org/project/imutils,2021-01-15 10:53:17.000000,1196.0,100572.0,102381.0,https://anaconda.org/conda-forge/imutils,2021-01-15 14:27:25.471000,36197.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n164,Kedro,quantumblacklabs/kedro,,data-pipelines,https://github.com/quantumblacklabs/kedro,https://github.com/quantumblacklabs/kedro,Apache-2.0,2019-04-18 10:29:56.000000,2021-02-04 14:04:56.000000,2021-02-04 12:08:39.000000,388,87.0,346.0,3372,1140.0,\"A Python framework for creating reproducible, maintainable and modular data science code.\",95.0,28,True,2020-12-17 13:31:56.000000,0.17.0,24.0,kedro,,,,,394.0,378.0,https://pypi.org/project/kedro,2020-12-17 13:31:56.000000,16.0,47396.0,47396.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n165,dyNET,clab/dynet,,ml-frameworks,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21.000000,2021-01-27 15:43:17.000000,2021-01-27 15:43:03.000000,692,255.0,660.0,3178,3267.0,DyNet: The Dynamic Neural Network Toolkit.,156.0,28,True,2020-10-21 14:31:01.000000,2.1.2,24.0,dyNET,,,,,204.0,166.0,https://pypi.org/project/dyNET,2020-10-21 14:31:01.000000,38.0,4094.0,4127.0,,,,,,,,3.0,1733.0,,,,,,,,,,,,,,,,,,,,,\n166,Blaze,blaze/blaze,,data-containers,https://github.com/blaze/blaze,https://github.com/blaze/blaze,BSD-3-Clause,2012-10-26 14:25:22.000000,2020-02-01 19:33:09.000000,2019-08-15 21:14:59.000000,373,262.0,500.0,2922,7496.0,NumPy and Pandas interface to Big Data.,64.0,28,False,2016-07-19 20:40:03.000000,0.11.0,14.0,blaze,conda-forge/blaze,,,,7948.0,7460.0,https://pypi.org/project/blaze,2016-05-06 21:19:21.000000,488.0,6842.0,11317.0,https://anaconda.org/conda-forge/blaze,2018-07-15 22:16:17.685000,187965.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n167,PyCaret,pycaret/pycaret,,ml-experiments,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000000,2021-02-03 12:31:01.000000,2021-02-03 10:53:24.000000,607,163.0,558.0,2913,1653.0,\"An open-source, low-code machine learning library in Python.\",46.0,28,True,2020-12-22 22:10:30.000000,2.2.3,68.0,pycaret,,,,,650.0,650.0,https://pypi.org/project/pycaret,2020-12-22 22:10:30.000000,0.0,17871.0,17921.0,,,,,,,,2.0,355.0,,,,,,,,,,,,,,,,,,,,,\n168,Dedupe,dedupeio/dedupe,,nlp,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36.000000,2021-01-15 22:45:06.000000,2021-01-15 22:44:19.000000,403,53.0,572.0,2893,2793.0,\"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.\",55.0,28,True,2020-09-02 00:17:19.000000,2.0.6,157.0,dedupe,,,,,255.0,177.0,https://pypi.org/project/dedupe,2020-09-06 01:50:45.000000,78.0,34570.0,34570.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n169,phonenumbers,daviddrysdale/python-phonenumbers,,nlp,https://github.com/daviddrysdale/python-phonenumbers,https://github.com/daviddrysdale/python-phonenumbers,Apache-2.0,2011-04-21 03:06:38.000000,2021-01-27 19:06:03.000000,2021-01-27 18:58:40.000000,328,3.0,112.0,2620,,Python port of Google's libphonenumber.,22.0,28,True,2021-01-27 19:06:03.000000,8.12.17,168.0,phonenumbers,conda-forge/phonenumbers,,,,2280.0,,https://pypi.org/project/phonenumbers,2021-01-27 19:06:03.000000,2280.0,545044.0,551723.0,https://anaconda.org/conda-forge/phonenumbers,2019-08-04 21:19:59.322000,374026.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n170,VisPy,vispy/vispy,,data-viz,https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22.000000,2021-01-27 15:23:17.000000,2021-01-27 15:23:16.000000,536,354.0,786.0,2571,6422.0,High-performance interactive 2D/3D data visualization library.,145.0,28,True,2020-12-14 15:55:00.000000,0.6.6,16.0,vispy,conda-forge/vispy,,,['jupyter'],573.0,451.0,https://pypi.org/project/vispy,2020-11-28 02:55:50.000000,122.0,10674.0,13816.0,https://anaconda.org/conda-forge/vispy,2021-01-13 03:28:46.609000,120640.0,,,,,2.0,,,vispy,https://www.npmjs.com/package/vispy,2020-03-15 14:39:41.516000,,126.0,,,,,,,,,,,,,,,\n171,datashader,holoviz/datashader,,data-viz,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000000,2021-02-04 04:06:19.000000,2021-01-17 16:07:42.000000,311,144.0,320.0,2415,1282.0,Quickly and accurately render even the largest data.,43.0,28,True,2021-01-07 16:14:43.000000,0.12.0,22.0,datashader,conda-forge/datashader,,,,642.0,572.0,https://pypi.org/project/datashader,2021-01-07 16:14:43.000000,70.0,8820.0,12337.0,https://anaconda.org/conda-forge/datashader,2021-01-08 10:17:48.622000,137200.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n172,sklearn-pandas,scikit-learn-contrib/sklearn-pandas,,data-containers,https://github.com/scikit-learn-contrib/sklearn-pandas,https://github.com/scikit-learn-contrib/sklearn-pandas,Zlib,2013-04-22 22:55:20.000000,2021-01-06 16:30:51.000000,2021-01-06 16:28:10.000000,387,30.0,117.0,2323,269.0,Pandas integration with sklearn.,35.0,28,False,2021-01-06 16:30:51.000000,2.0.4,24.0,sklearn-pandas,,,,\"['sklearn', 'pandas']\",1922.0,1700.0,https://pypi.org/project/sklearn-pandas,2020-11-07 02:30:27.000000,222.0,93257.0,93257.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n173,NMSLIB,nmslib/nmslib,,nn-search,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06.000000,2021-02-03 16:23:42.000000,2021-02-03 16:21:49.000000,336,46.0,318.0,2278,1495.0,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,44.0,28,True,2021-02-03 16:40:09.000000,2.1.1,32.0,nmslib,conda-forge/nmslib,,,,369.0,317.0,https://pypi.org/project/nmslib,2021-02-03 00:02:08.000000,52.0,51626.0,52763.0,https://anaconda.org/conda-forge/nmslib,2021-01-08 16:19:07.762000,11374.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n174,GPyTorch,cornellius-gp/gpytorch,,probabilistics,https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000000,2021-01-29 15:21:54.000000,2021-01-29 15:21:53.000000,318,210.0,634.0,2274,3240.0,A highly efficient and modular implementation of Gaussian Processes in PyTorch.,67.0,28,True,2021-01-19 22:18:43.000000,1.3.1,25.0,gpytorch,,,,['pytorch'],206.0,198.0,https://pypi.org/project/gpytorch,2021-01-19 22:09:01.000000,8.0,26265.0,26265.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n175,implicit,benfred/implicit,,recommender-systems,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000000,2021-02-03 13:12:50.000000,2020-11-15 19:47:23.000000,454,78.0,257.0,2239,300.0,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,28.0,28,True,2020-09-15 22:01:38.000000,0.4.4,34.0,implicit,conda-forge/implicit,,,,382.0,360.0,https://pypi.org/project/implicit,2020-09-15 22:01:38.000000,22.0,62402.0,67407.0,https://anaconda.org/conda-forge/implicit,2020-11-24 06:44:37.378000,185212.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n176,Keras Tuner,keras-team/keras-tuner,,hyperopt,https://github.com/keras-team/keras-tuner,https://github.com/keras-team/keras-tuner,Apache-2.0,2019-06-06 22:38:21.000000,2021-01-28 10:01:28.000000,2021-01-27 00:15:15.000000,259,145.0,134.0,2221,789.0,Hyperparameter tuning for humans.,28.0,28,True,2020-11-20 19:13:23.000000,1.0.2,5.0,keras-tuner,,,,['tensorflow'],392.0,390.0,https://pypi.org/project/keras-tuner,2020-11-20 19:00:59.000000,2.0,156471.0,156471.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n177,AzureML SDK,Azure/MachineLearningNotebooks,,ml-experiments,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000000,2021-02-03 22:31:32.000000,2021-02-03 22:31:31.000000,1558,73.0,865.0,2116,1089.0,Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft.,53.0,28,True,2021-01-11 18:12:53.000000,1.21.0,67.0,azureml-sdk,,,,,60.0,,https://pypi.org/project/azureml-sdk,2021-01-25 17:45:29.000000,60.0,214663.0,214677.0,,,,,,,,2.0,395.0,,,,,,,,,,,,,,,,,,,,,\n178,ipyparallel,ipython/ipyparallel,,distributed-ml,https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,BSD-3-Clause,2015-04-09 07:43:55.000000,2021-01-22 17:12:52.539000,2020-08-24 09:09:27.000000,732,143.0,107.0,1874,1817.0,Interactive Parallel Computing in Python.,94.0,28,True,2020-05-05 18:42:38.000000,6.3.0,21.0,ipyparallel,conda-forge/ipyparallel,,,['jupyter'],1897.0,1407.0,https://pypi.org/project/ipyparallel,2020-05-05 18:42:38.000000,490.0,35026.0,41459.0,https://anaconda.org/conda-forge/ipyparallel,2021-01-22 17:12:52.539000,373157.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n179,ImageHash,JohannesBuchner/imagehash,,image,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48.000000,2021-01-03 14:55:33.000000,2021-01-03 14:55:15.000000,247,17.0,70.0,1827,184.0,A Python Perceptual Image Hashing Module.,17.0,28,True,2020-11-19 14:54:24.000000,4.2.0,17.0,ImageHash,conda-forge/imagehash,,,,2488.0,1956.0,https://pypi.org/project/ImageHash,2020-11-19 14:54:24.000000,532.0,214610.0,216574.0,https://anaconda.org/conda-forge/imagehash,2020-11-19 18:20:49.964000,100186.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n180,hdbscan,scikit-learn-contrib/hdbscan,,others,https://github.com/scikit-learn-contrib/hdbscan,https://github.com/scikit-learn-contrib/hdbscan,BSD-3-Clause,2015-04-22 13:32:37.000000,2021-02-04 01:28:13.897000,2021-02-03 17:30:46.000000,339,225.0,144.0,1803,872.0,A high performance implementation of HDBSCAN clustering.,66.0,28,True,2021-02-03 20:21:02.000000,0.8.27,43.0,hdbscan,conda-forge/hdbscan,,,['sklearn'],846.0,722.0,https://pypi.org/project/hdbscan,2021-02-03 20:21:02.000000,124.0,70948.0,80545.0,https://anaconda.org/conda-forge/hdbscan,2021-02-04 01:28:13.897000,527839.0,,,,,1.0,,,,,,,,,1.0,,,,,,,,,,,,,\n181,torchaudio,pytorch/audio,,audio,https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000000,2021-02-04 13:18:57.000000,2021-02-03 16:58:09.000000,266,152.0,259.0,1216,692.0,\"Data manipulation and transformation for audio signal processing, powered by PyTorch.\",89.0,28,True,2020-12-10 17:02:20.000000,0.7.2,11.0,torchaudio,,,,['pytorch'],1404.0,1395.0,https://pypi.org/project/torchaudio,2020-10-27 16:14:57.000000,9.0,52984.0,52984.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n182,PyTables,PyTables/PyTables,,data-containers,https://github.com/PyTables/PyTables,https://github.com/PyTables/PyTables,BSD-3-Clause,2011-06-03 19:44:46.000000,2021-02-02 11:20:21.000000,2021-02-01 11:26:34.000000,180,155.0,443.0,1002,3950.0,A Python package to manage extremely large amounts of data.,96.0,28,True,2019-10-30 19:33:37.000000,3.6.1,25.0,tables,conda-forge/pytables,,,,3754.0,,https://pypi.org/project/tables,2019-10-30 19:33:37.000000,3754.0,241274.0,282128.0,https://anaconda.org/conda-forge/pytables,2021-01-14 18:41:06.536000,2206048.0,,,,,2.0,125.0,,,,,,,,,,,,,,,,,,,,,\n183,Keras-Preprocessing,keras-team/keras-preprocessing,,others,https://github.com/keras-team/keras-preprocessing,https://github.com/keras-team/keras-preprocessing,MIT,2018-05-30 22:43:36.000000,2021-02-04 15:15:58.000000,2021-01-21 20:19:32.000000,393,93.0,99.0,908,283.0,\"Utilities for working with image data, text data, and sequence data.\",49.0,28,True,2020-05-14 03:53:47.000000,1.1.2,12.0,keras-preprocessing,conda-forge/keras-preprocessing,,,['tensorflow'],2736.0,,https://pypi.org/project/keras-preprocessing,2020-05-14 03:53:47.000000,2736.0,2516957.0,2541994.0,https://anaconda.org/conda-forge/keras-preprocessing,2021-01-15 12:28:58.923000,801187.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n184,inflect,jaraco/inflect,,nlp,https://github.com/jaraco/inflect,https://github.com/jaraco/inflect,MIT,2010-06-20 13:43:13.000000,2021-01-27 16:38:13.000000,2020-11-15 19:27:28.000000,57,13.0,58.0,476,590.0,\"Correctly generate plurals, ordinals, indefinite articles; convert numbers to words.\",25.0,28,True,2020-11-15 17:41:03.000000,5.0.2,30.0,inflect,conda-forge/inflect,,,,1388.0,,https://pypi.org/project/inflect,2020-11-15 17:40:58.000000,1388.0,713046.0,715790.0,https://anaconda.org/conda-forge/inflect,2021-01-08 13:09:35.481000,126237.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n185,Cython BLIS,explosion/cython-blis,,others,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16.000000,2021-01-31 09:13:47.685000,2020-12-07 07:21:11.000000,22,6.0,15.0,165,524.0,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,9.0,28,True,2020-12-07 08:56:44.000000,0.7.4,35.0,blis,conda-forge/cython-blis,,,,8569.0,8179.0,https://pypi.org/project/blis,2020-12-07 08:56:44.000000,390.0,603199.0,620498.0,https://anaconda.org/conda-forge/cython-blis,2021-01-31 09:13:47.685000,397893.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n186,CNTK,microsoft/CNTK,,ml-frameworks,https://github.com/microsoft/CNTK,https://github.com/microsoft/CNTK,MIT,2015-11-26 09:52:06.000000,2020-12-09 22:21:57.000000,2020-03-31 15:55:14.000000,4408,830.0,2519.0,16962,16116.0,\"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.\",265.0,27,True,2019-04-26 14:13:32.000000,2.7,32.0,cntk,,,,,17.0,,https://pypi.org/project/cntk,2020-12-09 22:21:57.000000,17.0,961.0,1183.0,,,,,,,,3.0,13599.0,,,,,,,,,,,,,,,,,,,,,\n187,Rasa,RasaHQ/rasa,,nlp,https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49.000000,2021-02-04 14:01:45.000000,2021-02-04 13:56:01.000000,3284,507.0,4471.0,10668,,\"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..\",458.0,27,True,2021-02-02 17:17:07.000000,2.2.9,182.0,rasa,,,,['tensorflow'],64.0,,https://pypi.org/project/rasa,2021-02-02 17:16:58.000000,64.0,54697.0,54697.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n188,EasyOCR,JaidedAI/EasyOCR,,ocr,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000000,2021-02-03 11:00:20.000000,2021-02-03 10:59:55.000000,1048,88.0,164.0,10308,374.0,\"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..\",74.0,27,True,2021-02-01 02:29:24.000000,1.2.3,16.0,easyocr,,,,,116.0,116.0,https://pypi.org/project/easyocr,2021-02-01 02:29:24.000000,0.0,9098.0,27026.0,,,,,,,,1.0,143428.0,,,,,,,,,,,,,,,,,,,,,\n189,NNI,microsoft/nni,,hyperopt,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44.000000,2021-02-04 14:41:29.000000,2021-02-04 08:47:33.000000,1184,258.0,876.0,9000,1938.0,\"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..\",116.0,27,True,2021-01-14 05:58:03.000000,2.0,37.0,nni,,,,,101.0,85.0,https://pypi.org/project/nni,2021-01-14 05:49:34.000000,16.0,1451.0,1451.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n190,Sonnet,deepmind/sonnet,,ml-frameworks,https://github.com/deepmind/sonnet,https://github.com/deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35.000000,2020-11-30 02:35:15.000000,2020-10-08 10:01:11.000000,1257,18.0,136.0,8733,545.0,TensorFlow-based neural network library.,48.0,27,True,2020-03-27 10:36:19.000000,2.0.0,27.0,dm-sonnet,conda-forge/sonnet,,,['tensorflow'],579.0,497.0,https://pypi.org/project/dm-sonnet,2020-03-27 10:36:10.000000,82.0,18599.0,19075.0,https://anaconda.org/conda-forge/sonnet,2020-11-14 18:13:23.843000,7147.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n191,AutoKeras,keras-team/autokeras,,hyperopt,https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20.000000,2021-02-01 02:46:22.000000,2021-01-22 16:11:22.000000,1259,57.0,662.0,7738,1233.0,AutoML library for deep learning.,126.0,27,True,2020-11-30 02:43:50.000000,1.0.12,46.0,autokeras,,,,['tensorflow'],150.0,143.0,https://pypi.org/project/autokeras,2020-11-30 02:43:50.000000,7.0,3211.0,3211.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n192,pretrainedmodels,Cadene/pretrained-models.pytorch,,pytorch-utils,https://github.com/Cadene/pretrained-models.pytorch,https://github.com/Cadene/pretrained-models.pytorch,BSD-3-Clause,2017-04-09 15:54:23.000000,2020-06-08 16:06:59.000000,2020-04-16 08:02:22.000000,1606,85.0,87.0,7674,154.0,\"Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.\",22.0,27,True,2018-10-29 08:18:45.000000,0.7.4,16.0,pretrainedmodels,,,,['pytorch'],961.0,857.0,https://pypi.org/project/pretrainedmodels,2018-10-29 08:18:45.000000,104.0,27750.0,27750.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n193,PyTorch Image Models,rwightman/pytorch-image-models,,image,https://github.com/rwightman/pytorch-image-models,https://github.com/rwightman/pytorch-image-models,Apache-2.0,2019-02-02 05:51:12.000000,2021-02-03 08:57:09.000000,2021-02-01 04:14:51.000000,978,24.0,219.0,6949,678.0,\"PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2,..\",26.0,27,True,2021-01-08 19:51:18.000000,0.3.4,14.0,,,,,['pytorch'],282.0,282.0,,,,,10320.0,,,,,,,,2.0,216727.0,,,,,,,,,,,,,,,,,,,,,\n194,tensorboardX,lanpa/tensorboardX,,ml-experiments,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19.000000,2020-10-14 17:46:25.000000,2020-07-05 17:29:00.000000,776,72.0,341.0,6792,460.0,\"tensorboard for pytorch (and chainer, mxnet, numpy, ...).\",64.0,27,True,2020-07-05 17:54:10.000000,2.0,12.0,tensorboardX,conda-forge/tensorboardx,,,,11426.0,10092.0,https://pypi.org/project/tensorboardX,2019-12-31 14:04:21.000000,1334.0,211428.0,218809.0,https://anaconda.org/conda-forge/tensorboardx,2020-07-06 20:33:55.729000,272908.0,,,,,2.0,293.0,,,,,,,,,,,,,,,,,,,,,\n195,dgl,dmlc/dgl,,graph,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000000,2021-02-04 10:12:27.000000,2021-02-04 06:40:00.000000,1337,225.0,700.0,6608,1547.0,\"Python package built to ease deep learning on graph, on top of existing DL frameworks.\",107.0,27,True,2020-11-30 07:39:12.000000,0.5.3,364.0,dgl,,,,,30.0,,https://pypi.org/project/dgl,2021-02-04 09:24:06.000000,30.0,10045.0,10045.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n196,TensorLayer,tensorlayer/tensorlayer,,reinforcement-learning,https://github.com/tensorlayer/tensorlayer,https://github.com/tensorlayer/tensorlayer,Apache-2.0,2016-06-07 15:55:16.000000,2021-02-01 06:13:59.000000,2021-02-01 06:13:58.000000,1460,17.0,433.0,6479,3321.0,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,131.0,27,True,2021-01-06 07:16:21.000000,2.2.4,82.0,tensorlayer,,,,['tensorflow'],68.0,,https://pypi.org/project/tensorlayer,2020-06-19 00:53:37.000000,68.0,1407.0,1429.0,,,,,,,,2.0,1201.0,,,,,,,,,,,,,,,,,,,,,\n197,imageai,OlafenwaMoses/ImageAI,,image,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33.000000,2021-01-05 01:31:44.000000,2021-01-05 01:31:12.000000,1642,190.0,406.0,5846,290.0,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,13.0,27,True,2021-01-05 01:26:01.000000,2.1.6,10.0,imageai,,,,,709.0,685.0,https://pypi.org/project/imageai,2021-01-05 01:26:01.000000,24.0,4272.0,19924.0,,,,,,,,2.0,532169.0,,,,,,,,,,,,,,,,,,,,,\n198,featuretools,alteryx/featuretools,,hyperopt,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17.000000,2021-02-04 03:17:58.000000,2021-02-01 18:13:01.000000,696,111.0,395.0,5370,569.0,An open source python library for automated feature engineering.,49.0,27,True,2021-01-29 21:43:42.000000,0.23.1,65.0,featuretools,conda-forge/featuretools,,,,738.0,668.0,https://pypi.org/project/featuretools,2021-01-29 21:44:27.000000,70.0,43525.0,45229.0,https://anaconda.org/conda-forge/featuretools,2021-02-01 15:41:42.671000,44313.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n199,tsfresh,blue-yonder/tsfresh,,time-series-data,https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17.000000,2021-01-28 17:23:04.000000,2021-01-28 17:23:03.000000,846,37.0,401.0,5351,398.0,Automatic extraction of relevant features from time series:.,73.0,27,True,2020-09-09 21:08:22.000000,0.17.0,26.0,tsfresh,conda-forge/tsfresh,,,['sklearn'],66.0,,https://pypi.org/project/tsfresh,2020-09-09 21:08:22.000000,66.0,105946.0,106651.0,https://anaconda.org/conda-forge/tsfresh,2020-09-10 08:48:19.773000,27515.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n200,CleverHans,cleverhans-lab/cleverhans,,adversarial,https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04.000000,2021-02-02 13:12:52.000000,2021-02-01 06:21:20.000000,1209,75.0,413.0,4930,3046.0,\"An adversarial example library for constructing attacks, building defenses, and benchmarking both.\",115.0,27,True,2021-02-01 06:35:42.000000,3.1.0,7.0,cleverhans,,,,['tensorflow'],196.0,188.0,https://pypi.org/project/cleverhans,2018-11-27 17:36:15.000000,8.0,468.0,468.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n201,Datasette,simonw/datasette,,others,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000000,2021-02-02 21:35:16.000000,2021-02-02 21:24:05.000000,256,231.0,748.0,4626,1570.0,An open source multi-tool for exploring and publishing data.,42.0,27,True,2021-02-02 21:35:16.000000,0.54.1,90.0,datasette,,,,,425.0,355.0,https://pypi.org/project/datasette,2021-02-02 21:35:16.000000,70.0,2629.0,2629.0,,,,,,,,2.0,28.0,,,,,,,,1.0,datasette,,,,,,,,,,,,\n202,GluonCV,dmlc/gluon-cv,,image,https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21.000000,2021-02-04 09:01:58.000000,2021-02-01 03:53:59.000000,1041,363.0,376.0,4524,836.0,Gluon CV Toolkit.,111.0,27,True,2021-02-01 21:30:20.000000,0.9.2,988.0,gluoncv,,,,['mxnet'],445.0,415.0,https://pypi.org/project/gluoncv,2021-02-04 09:01:58.000000,30.0,26810.0,26810.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n203,PDFMiner,euske/pdfminer,,data-loading,https://github.com/euske/pdfminer,https://github.com/euske/pdfminer,MIT,2010-12-12 12:50:22.000000,2021-01-18 18:11:24.661000,2020-01-18 07:00:32.000000,1024,222.0,40.0,4492,540.0,Python PDF Parser (Not actively maintained). Check out pdfminer.six.,28.0,27,False,,,24.0,pdfminer,conda-forge/pdfminer,,,,3500.0,2034.0,https://pypi.org/project/pdfminer,2019-11-25 12:02:21.000000,1466.0,103608.0,103861.0,https://anaconda.org/conda-forge/pdfminer,2021-01-18 18:11:24.661000,13680.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n204,lightfm,lyst/lightfm,,recommender-systems,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00.000000,2021-02-02 19:08:18.000000,2020-11-27 19:54:37.000000,561,127.0,338.0,3477,404.0,\"A Python implementation of LightFM, a hybrid recommendation algorithm.\",42.0,27,True,2020-11-27 19:48:30.000000,1.16,14.0,lightfm,conda-forge/lightfm,,,,415.0,387.0,https://pypi.org/project/lightfm,2020-11-27 19:55:08.000000,28.0,60967.0,62954.0,https://anaconda.org/conda-forge/lightfm,2020-12-07 16:07:27.944000,73553.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n205,Ignite,pytorch/ignite,,ml-frameworks,https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000000,2021-02-04 11:24:51.000000,2021-02-03 09:01:42.000000,421,99.0,612.0,3243,880.0,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,121.0,27,True,2020-09-20 20:00:28.000000,0.4.2,454.0,pytorch-ignite,pytorch/ignite,,,['pytorch'],793.0,731.0,https://pypi.org/project/pytorch-ignite,2021-02-04 00:29:54.000000,62.0,25879.0,27529.0,https://anaconda.org/pytorch/ignite,2020-09-20 20:00:11.134000,52828.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n206,Alpha Vantage,RomelTorres/alpha_vantage,,financial-data,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00.000000,2021-01-14 16:42:33.000000,2020-12-21 19:51:57.000000,553,16.0,208.0,3079,497.0,A python wrapper for Alpha Vantage API for financial data.,36.0,27,True,2020-12-21 02:37:29.000000,2.3.1,28.0,alpha_vantage,,,,,202.0,,https://pypi.org/project/alpha_vantage,2018-08-26 18:55:11.000000,202.0,12257.0,12257.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n207,Dagster,dagster-io/dagster,,data-pipelines,https://github.com/dagster-io/dagster,https://github.com/dagster-io/dagster,Apache-2.0,2018-04-30 16:30:04.000000,2021-02-04 07:01:32.000000,2021-02-04 06:22:43.000000,283,634.0,1861.0,2857,6537.0,\"A data orchestrator for machine learning, analytics, and ETL.\",115.0,27,True,2021-01-29 01:17:26.000000,0.10.2,230.0,dagster,conda-forge/dagster,,,,141.0,137.0,https://pypi.org/project/dagster,2021-01-29 01:17:26.000000,4.0,21333.0,30044.0,https://anaconda.org/conda-forge/dagster,2020-12-04 14:42:14.711000,130670.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n208,missingno,ResidentMario/missingno,,data-viz,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50.000000,2020-12-28 16:13:39.000000,2020-12-28 16:13:38.000000,333,15.0,87.0,2626,170.0,Missing data visualization module for Python.,15.0,27,True,2019-07-09 16:03:51.000000,0.4.2,21.0,missingno,conda-forge/missingno,,,,2857.0,2781.0,https://pypi.org/project/missingno,2018-06-29 16:25:00.000000,76.0,105330.0,106999.0,https://anaconda.org/conda-forge/missingno,2020-02-15 10:07:41.253000,71786.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n209,plotnine,has2k1/plotnine,,data-viz,https://github.com/has2k1/plotnine,https://github.com/has2k1/plotnine,GPL-2.0,2017-04-24 19:00:44.000000,2021-01-18 09:55:40.000000,2021-01-06 10:16:20.000000,128,57.0,350.0,2557,1673.0,A grammar of graphics for Python.,81.0,27,False,2020-08-05 20:10:30.000000,0.7.1,10.0,plotnine,conda-forge/plotnine,,,,1644.0,1517.0,https://pypi.org/project/plotnine,2020-08-05 18:55:16.000000,127.0,81076.0,83068.0,https://anaconda.org/conda-forge/plotnine,2020-08-06 19:52:38.810000,89669.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n210,eli5,TeamHG-Memex/eli5,,interpretability,https://github.com/TeamHG-Memex/eli5,https://github.com/TeamHG-Memex/eli5,MIT,2016-09-15 01:04:57.000000,2021-01-25 08:24:59.385000,2020-01-22 07:39:36.000000,296,145.0,110.0,2287,1198.0,A library for debugging/inspecting machine learning classifiers and explaining their predictions.,14.0,27,False,2021-01-23 14:25:24.000000,0.11.0,28.0,eli5,conda-forge/eli5,,,,110.0,,https://pypi.org/project/eli5,2021-01-23 14:25:24.000000,110.0,141066.0,142988.0,https://anaconda.org/conda-forge/eli5,2021-01-25 08:24:59.385000,86516.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n211,Jina,jina-ai/jina,,ml-frameworks,https://github.com/jina-ai/jina,https://github.com/jina-ai/jina,Apache-2.0,2020-02-13 17:04:44.000000,2021-02-04 14:14:30.000000,2021-02-04 13:14:49.000000,336,48.0,586.0,2054,4687.0,An easier way to build neural search in the cloud.,85.0,27,True,2021-02-03 22:09:52.000000,0.9.28,265.0,jina,,jinaai/jina,,,46.0,46.0,https://pypi.org/project/jina,2021-02-04 13:22:45.000000,,2393.0,10978.0,,,,https://hub.docker.com/r/jinaai/jina,2021-02-04 13:37:42.230215,,103025.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n212,TF-Agents,tensorflow/agents,,reinforcement-learning,https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000000,2021-02-03 15:01:59.000000,2021-02-01 23:07:41.000000,460,103.0,312.0,1778,1609.0,TF-Agents is a library for Reinforcement Learning in TensorFlow.,85.0,27,True,2021-01-05 18:41:58.000000,0.7.1,18.0,tf-agents,,,,['tensorflow'],380.0,368.0,https://pypi.org/project/tf-agents,2021-01-05 18:41:58.000000,12.0,6072.0,6072.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n213,ta,bukosabino/ta,,financial-data,https://github.com/bukosabino/ta,https://github.com/bukosabino/ta,MIT,2018-01-02 18:08:48.000000,2021-01-23 22:06:12.000000,2020-11-29 21:08:14.000000,470,69.0,82.0,1775,582.0,Technical Analysis Library using Pandas and Numpy.,23.0,27,True,2020-11-29 10:49:09.000000,0.7.0,49.0,ta,,,,,429.0,417.0,https://pypi.org/project/ta,2020-11-29 10:49:09.000000,12.0,20382.0,20382.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n214,filterpy,rlabbe/filterpy,,probabilistics,https://github.com/rlabbe/filterpy,https://github.com/rlabbe/filterpy,MIT,2014-07-15 02:15:19.000000,2021-01-05 02:45:44.000000,2021-01-04 03:55:54.000000,401,21.0,146.0,1657,528.0,\"Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman..\",33.0,27,True,2018-10-10 22:38:24.000000,1.4.5,48.0,filterpy,conda-forge/filterpy,,,,915.0,703.0,https://pypi.org/project/filterpy,2018-10-10 22:38:24.000000,212.0,20704.0,21981.0,https://anaconda.org/conda-forge/filterpy,2020-05-05 21:13:59.073000,56207.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n215,MNE,mne-tools/mne-python,,medical-data,https://github.com/mne-tools/mne-python,https://github.com/mne-tools/mne-python,BSD-3-Clause,2011-01-28 03:31:13.000000,2021-02-04 14:52:16.000000,2021-02-03 16:47:44.000000,836,298.0,3102.0,1502,,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,231.0,27,True,2020-12-17 15:32:54.000000,0.22.0,50.0,mne,conda-forge/mne,,,,1012.0,814.0,https://pypi.org/project/mne,2020-12-17 15:32:54.000000,198.0,13843.0,15937.0,https://anaconda.org/conda-forge/mne,2020-12-20 21:44:36.472000,100556.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n216,Cartopy,mapbox/rasterio,,geospatial-data,https://github.com/mapbox/rasterio,https://github.com/mapbox/rasterio,LGPL-3.0,2013-11-04 16:36:27.000000,2021-02-02 22:30:46.000000,2021-02-02 22:30:46.000000,390,137.0,1203.0,1424,3260.0,Rasterio reads and writes geospatial raster datasets.,107.0,27,False,2018-11-17 07:43:32.000000,0.17.0,18.0,Cartopy,conda-forge/cartopy,,,,2862.0,2689.0,https://pypi.org/project/Cartopy,2020-04-27 04:57:38.000000,173.0,10216.0,32801.0,https://anaconda.org/conda-forge/cartopy,2020-12-21 22:49:27.196000,1331969.0,,,,,3.0,702.0,,,,,,,,,,,,,,,,,,,,,\n217,datasketch,ekzhu/datasketch,,data-containers,https://github.com/ekzhu/datasketch,https://github.com/ekzhu/datasketch,MIT,2015-03-20 01:21:46.000000,2021-01-28 09:09:53.000000,2020-12-23 21:00:36.000000,206,18.0,91.0,1420,193.0,\"MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble.\",16.0,27,True,2020-12-15 20:59:57.000000,1.5.2,74.0,datasketch,,,,,338.0,252.0,https://pypi.org/project/datasketch,2020-12-15 20:59:57.000000,86.0,122120.0,122120.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,,,,\n218,Flax,google/flax,,ml-frameworks,https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000000,2021-02-04 07:42:52.000000,2021-02-04 07:42:51.000000,168,145.0,145.0,1418,1562.0,Flax is a neural network ecosystem for JAX that is designed for flexibility.,73.0,27,True,2020-12-08 15:14:03.000000,0.3.0,9.0,flax,,,,['jax'],101.0,95.0,https://pypi.org/project/flax,2020-12-08 15:14:03.000000,6.0,41446.0,41447.0,,,,,,,,3.0,21.0,,,,,,,,,,,,,,,,,,,,,\n219,pyLDAvis,bmabey/pyLDAvis,,interpretability,https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03.000000,2021-01-15 12:17:17.000000,2020-12-02 18:10:12.000000,290,91.0,56.0,1394,218.0,Python library for interactive topic model visualization. Port of the R LDAvis package.,31.0,27,True,2018-06-05 18:55:56.000000,2.1.2,17.0,pyldavis,conda-forge/pyldavis,,,['jupyter'],1859.0,1760.0,https://pypi.org/project/pyldavis,2018-06-05 18:55:56.000000,99.0,46342.0,47002.0,https://anaconda.org/conda-forge/pyldavis,2018-06-22 21:16:15.741000,21122.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n220,GPflow,GPflow/GPflow,,probabilistics,https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000000,2021-02-03 14:32:12.000000,2021-02-03 13:45:29.000000,389,86.0,602.0,1380,2203.0,Gaussian processes in TensorFlow.,68.0,27,True,2020-12-01 12:59:03.000000,2.1.4,28.0,gpflow,conda-forge/gpflow,,,['tensorflow'],233.0,216.0,https://pypi.org/project/gpflow,2020-12-01 13:12:15.000000,17.0,1870.0,2114.0,https://anaconda.org/conda-forge/gpflow,2018-11-06 08:51:39.744000,8069.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n221,PyCUDA,inducer/pycuda,,gpu-utilities,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000000,2021-01-04 20:15:46.000000,2021-01-04 20:12:30.000000,214,41.0,122.0,1084,1449.0,\"CUDA integration for Python, plus shiny features.\",68.0,27,True,2019-08-12 04:15:37.000000,2019.1.2,46.0,pycuda,,,,,1017.0,725.0,https://pypi.org/project/pycuda,2020-10-07 21:59:52.000000,292.0,10628.0,10628.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n222,ipyleaflet,jupyter-widgets/ipyleaflet,,geospatial-data,https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10.000000,2021-01-22 15:14:34.000000,2021-01-22 15:14:33.000000,278,131.0,250.0,1079,907.0,A Jupyter - Leaflet.js bridge.,63.0,27,True,2021-01-05 16:38:38.000000,0.13.6,70.0,ipyleaflet,conda-forge/ipyleaflet,,,['jupyter'],781.0,681.0,https://pypi.org/project/ipyleaflet,2021-01-05 16:38:38.000000,98.0,11114.0,168480.0,https://anaconda.org/conda-forge/ipyleaflet,2021-01-16 23:51:37.383000,586381.0,,,,,3.0,,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2021-01-05 16:30:30.235000,2.0,147079.0,,,,,,,,,,,,,,,\n223,Model Analysis,tensorflow/model-analysis,,interpretability,https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000000,2021-02-03 00:41:33.000000,2021-02-03 00:41:27.000000,210,25.0,32.0,1031,889.0,Model analysis tools for TensorFlow.,33.0,27,True,2021-01-28 16:24:19.000000,0.27.0,34.0,tensorflow-model-analysis,,,,\"['tensorflow', 'jupyter']\",20.0,,https://pypi.org/project/tensorflow-model-analysis,2021-01-28 16:24:19.000000,20.0,3941390.0,3941390.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n224,petl,petl-developers/petl,,data-pipelines,https://github.com/petl-developers/petl,https://github.com/petl-developers/petl,MIT,2011-08-19 09:51:03.000000,2021-02-03 17:43:26.000000,2021-02-03 17:43:24.000000,151,66.0,342.0,826,1130.0,Python Extract Transform and Load Tables of Data.,44.0,27,True,2020-12-29 02:39:53.000000,1.7.1,74.0,petl,conda-forge/petl,,http://petl.readthedocs.org,,432.0,318.0,https://pypi.org/project/petl,2020-10-06 00:03:28.000000,114.0,11985.0,12355.0,https://anaconda.org/conda-forge/petl,2020-12-29 04:11:54.349000,19615.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n225,pyopencl,inducer/pyopencl,,others,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,MIT,2011-04-06 02:51:33.000000,2021-02-01 21:33:14.000000,2021-02-01 21:33:13.000000,206,52.0,208.0,779,2885.0,\"OpenCL integration for Python, plus shiny features.\",83.0,27,True,2020-11-20 05:22:46.000000,2021.1.1,56.0,pyopencl,conda-forge/pyopencl,,,,695.0,457.0,https://pypi.org/project/pyopencl,2021-01-28 14:18:50.000000,238.0,5296.0,11191.0,https://anaconda.org/conda-forge/pyopencl,2021-01-27 20:18:36.643000,306554.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n226,igraph,igraph/python-igraph,,graph,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16.000000,2021-01-31 12:33:40.000000,2021-01-31 12:33:30.000000,180,26.0,256.0,768,1564.0,Python interface for igraph.,48.0,27,False,2020-10-08 14:50:52.000000,0.8.3,18.0,python-igraph,conda-forge/igraph,,,,1850.0,1426.0,https://pypi.org/project/python-igraph,2020-04-28 17:45:27.000000,424.0,40098.0,45179.0,https://anaconda.org/conda-forge/igraph,2021-01-05 11:05:57.682000,196653.0,,,,,1.0,53401.0,,,,,,,,,,,,,,,,,,,,,\n227,patsy,pydata/patsy,,probabilistics,https://github.com/pydata/patsy,https://github.com/pydata/patsy,BSD-2-Clause,2012-07-10 12:30:06.000000,2020-09-09 13:00:29.000000,2018-10-31 21:55:48.000000,85,78.0,51.0,736,517.0,Describing statistical models in Python using symbolic formulas.,13.0,27,False,2018-10-28 05:07:55.000000,0.5.1,8.0,patsy,conda-forge/patsy,,,,34498.0,29574.0,https://pypi.org/project/patsy,2018-10-28 03:59:51.000000,4924.0,1731542.0,1778441.0,https://anaconda.org/conda-forge/patsy,2018-10-28 05:21:35.412000,2532558.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n228,zarr,zarr-developers/zarr-python,,data-containers,https://github.com/zarr-developers/zarr-python,https://github.com/zarr-developers/zarr-python,MIT,2015-12-15 14:49:40.000000,2021-01-27 16:29:58.000000,2021-01-27 10:00:14.000000,107,179.0,228.0,632,1379.0,\"An implementation of chunked, compressed, N-dimensional arrays for Python.\",35.0,27,True,2020-12-02 18:33:13.000000,2.6.1,31.0,zarr,conda-forge/zarr,,,,614.0,542.0,https://pypi.org/project/zarr,2020-12-02 18:33:13.000000,72.0,82681.0,92293.0,https://anaconda.org/conda-forge/zarr,2020-12-03 02:31:13.848000,547914.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n229,data-validation,tensorflow/data-validation,,data-viz,https://github.com/tensorflow/data-validation,https://github.com/tensorflow/data-validation,Apache-2.0,2018-07-02 15:47:02.000000,2021-02-03 21:09:16.000000,2021-02-03 21:09:10.000000,94,38.0,72.0,513,565.0,Library for exploring and validating machine learning data.,20.0,27,True,2021-01-28 20:18:27.000000,0.27.0,24.0,tensorflow-data-validation,,,,\"['tensorflow', 'jupyter']\",246.0,228.0,https://pypi.org/project/tensorflow-data-validation,2021-01-28 20:18:27.000000,18.0,4067968.0,4067974.0,,,,,,,,2.0,195.0,,,,,,,,,,,,,,,,,,,,,\n230,DIPY,dipy/dipy,,medical-data,https://github.com/dipy/dipy,https://github.com/dipy/dipy,BSD-3-Clause,2010-02-06 11:43:08.000000,2021-01-30 16:52:18.000000,2020-12-10 16:48:07.000000,313,156.0,572.0,388,11365.0,\"DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal..\",118.0,27,True,2020-11-05 17:35:53.000000,1.3.0,21.0,dipy,conda-forge/dipy,,,,425.0,331.0,https://pypi.org/project/dipy,2020-11-05 17:35:53.000000,94.0,4124.0,7245.0,https://anaconda.org/conda-forge/dipy,2020-11-14 18:28:50.683000,177935.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n231,audioread,beetbox/audioread,,audio,https://github.com/beetbox/audioread,https://github.com/beetbox/audioread,MIT,2011-11-08 19:53:18.000000,2020-12-08 20:08:37.201000,2020-10-20 11:22:05.000000,83,31.0,44.0,358,232.0,cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python.,20.0,27,True,2020-10-20 11:23:09.000000,2.1.9,25.0,audioread,conda-forge/audioread,,,,4660.0,4074.0,https://pypi.org/project/audioread,2020-10-20 11:23:09.000000,586.0,191759.0,195318.0,https://anaconda.org/conda-forge/audioread,2020-12-08 20:08:37.201000,195755.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n232,detectron2,facebookresearch/detectron2,,image,https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000000,2021-02-04 06:52:08.000000,2021-02-04 06:51:59.000000,3772,92.0,2133.0,14841,936.0,Detectron2 is FAIR's next-generation platform for object detection and segmentation.,144.0,26,True,2020-11-06 03:20:56.000000,0.3,7.0,,conda-forge/detectron2,,,['pytorch'],158.0,158.0,,,,,1408.0,https://anaconda.org/conda-forge/detectron2,2020-08-05 13:27:52.058000,12672.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n233,Streamlit,streamlit/streamlit,,others,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000000,2021-02-04 14:46:35.000000,2021-02-03 20:48:25.000000,1086,558.0,957.0,13032,,Streamlit The fastest way to build data apps in Python.,87.0,26,True,2021-01-21 20:53:54.000000,0.75.0,123.0,streamlit,,,,,89.0,55.0,https://pypi.org/project/streamlit,2021-01-21 20:53:54.000000,34.0,87680.0,87680.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n234,Dopamine,google/dopamine,,reinforcement-learning,https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36.000000,2021-01-30 08:29:35.000000,2021-01-25 15:04:00.000000,1225,72.0,70.0,9299,213.0,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,13.0,26,True,2020-10-16 22:05:03.000000,3.1.8,34.0,dopamine-rl,,,,['tensorflow'],31.0,,https://pypi.org/project/dopamine-rl,2020-10-16 22:05:03.000000,31.0,42732.0,42732.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n235,InsightFace,deepinsight/insightface,,image,https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,MIT,2017-09-01 00:36:51.000000,2021-01-29 04:03:06.000000,2021-01-27 11:17:49.000000,2935,714.0,652.0,8521,1476.0,Face Analysis Project on MXNet.,15.0,26,True,2019-09-07 13:47:11.000000,0.1.5,6.0,insightface,,,,['mxnet'],52.0,51.0,https://pypi.org/project/insightface,2019-09-07 13:47:11.000000,1.0,1300.0,1300.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n236,PySyft,OpenMined/PySyft,,privacy-ml,https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,MIT,2017-07-18 20:41:16.000000,2021-02-04 15:01:17.000000,2021-02-04 03:42:02.000000,1538,196.0,2461.0,6825,6515.0,A library for answering questions using data you cannot see.,337.0,26,True,2020-11-12 19:57:33.000000,0.3.0,48.0,syft,,,,['pytorch'],3.0,,https://pypi.org/project/syft,2020-09-14 15:03:40.000000,3.0,1233.0,1233.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n237,backtrader,mementum/backtrader,,financial-data,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52.000000,2021-02-01 18:57:27.000000,2020-07-03 12:52:48.000000,1726,18.0,,5570,2381.0,Python Backtesting library for trading strategies.,50.0,26,False,,,155.0,backtrader,,,,,510.0,440.0,https://pypi.org/project/backtrader,2020-07-03 13:02:14.000000,70.0,23231.0,23231.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n238,carla,carla-simulator/carla,,others,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000000,2021-02-04 15:04:00.000000,2020-12-22 22:54:58.000000,1626,308.0,2669.0,5558,4756.0,Open-source simulator for autonomous driving research.,122.0,26,True,2020-12-23 07:08:35.000000,0.9.11,22.0,carla,,,,,59.0,57.0,https://pypi.org/project/carla,2019-04-28 17:45:24.000000,2.0,418.0,418.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n239,auto-sklearn,automl/auto-sklearn,,hyperopt,https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10.000000,2021-02-04 10:06:11.000000,2021-01-26 16:38:35.000000,975,132.0,558.0,5186,2413.0,Automated Machine Learning with scikit-learn.,63.0,26,True,2021-02-03 12:54:59.000000,0.12.2,26.0,auto-sklearn,,,,['sklearn'],159.0,129.0,https://pypi.org/project/auto-sklearn,2021-01-04 14:13:00.000000,30.0,3463.0,3463.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n240,DeepPavlov,deepmipt/DeepPavlov,,nlp,https://github.com/deepmipt/DeepPavlov,https://github.com/deepmipt/DeepPavlov,Apache-2.0,2017-11-17 14:35:29.000000,2021-02-04 11:35:22.000000,2020-12-24 16:30:15.000000,891,89.0,448.0,4977,2579.0,An open source library for deep learning end-to-end dialog systems and chatbots.,61.0,26,True,2020-12-24 16:35:56.000000,0.14.0,41.0,deeppavlov,,,,['tensorflow'],175.0,171.0,https://pypi.org/project/deeppavlov,2020-12-24 16:33:49.000000,4.0,3323.0,3323.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n241,Bayesian Optimization,fmfn/BayesianOptimization,,hyperopt,https://github.com/fmfn/BayesianOptimization,https://github.com/fmfn/BayesianOptimization,MIT,2014-06-06 08:18:56.000000,2021-01-31 14:56:12.000000,2020-12-19 01:11:23.000000,1085,36.0,164.0,4849,199.0,A Python implementation of global optimization with gaussian processes.,27.0,26,True,2020-05-16 16:03:51.000000,1.2.0,8.0,bayesian-optimization,,,,,695.0,603.0,https://pypi.org/project/bayesian-optimization,2020-05-16 15:56:09.000000,92.0,39421.0,39422.0,,,,,,,,2.0,47.0,,,,,,,,,,,,,,,,,,,,,\n242,scikit-surprise,NicolasHug/Surprise,,recommender-systems,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38.000000,2020-10-13 01:22:58.850000,2020-08-05 17:45:59.000000,821,35.0,285.0,4673,622.0,A Python scikit for building and analyzing recommender systems.,38.0,26,True,2020-07-19 14:50:48.000000,1.1.1,9.0,scikit-surprise,conda-forge/scikit-surprise,,,,913.0,889.0,https://pypi.org/project/scikit-surprise,2020-07-19 14:50:48.000000,24.0,24949.0,29101.0,https://anaconda.org/conda-forge/scikit-surprise,2020-10-13 01:22:58.850000,153629.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n243,snorkel,snorkel-team/snorkel,,data-loading,https://github.com/snorkel-team/snorkel,https://github.com/snorkel-team/snorkel,Apache-2.0,2016-02-26 05:52:45.000000,2021-01-25 19:33:50.000000,2020-09-05 21:24:32.000000,718,29.0,912.0,4446,2646.0,A system for quickly generating training data with weak supervision.,62.0,26,True,2020-08-09 03:07:36.000000,0.9.6,17.0,snorkel,conda-forge/snorkel,,,,70.0,66.0,https://pypi.org/project/snorkel,2020-04-07 01:35:21.000000,4.0,54775.0,55595.0,https://anaconda.org/conda-forge/snorkel,2020-04-10 13:08:54.445000,15407.0,,,,,3.0,502.0,,,,,,,,,,,,,,,,,,,,,\n244,librosa,librosa/librosa,,audio,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000000,2020-10-19 21:24:48.000000,2020-09-11 13:58:44.000000,680,56.0,780.0,4267,,Python library for audio and music analysis.,80.0,26,True,2020-07-22 01:34:55.000000,0.8.0,28.0,librosa,conda-forge/librosa,,,,10947.0,9197.0,https://pypi.org/project/librosa,2020-07-22 01:34:55.000000,1750.0,203995.0,208461.0,https://anaconda.org/conda-forge/librosa,2020-07-22 10:27:18.402000,245648.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n245,Metaflow,Netflix/metaflow,,ml-experiments,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000000,2021-02-03 22:45:10.000000,2021-01-26 20:34:10.000000,324,118.0,140.0,4027,183.0,Build and manage real-life data science projects with ease.,28.0,26,True,2021-01-26 21:51:19.000000,2.2.6,16.0,metaflow,conda-forge/metaflow,,,,105.0,103.0,https://pypi.org/project/metaflow,2021-01-26 22:33:53.000000,2.0,14680.0,15439.0,https://anaconda.org/conda-forge/metaflow,2021-01-27 01:14:16.680000,10635.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n246,OCRmyPDF,jbarlow83/OCRmyPDF,,ocr,https://github.com/jbarlow83/OCRmyPDF,https://github.com/jbarlow83/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000000,2021-01-26 10:22:47.000000,2021-01-26 09:47:49.000000,425,92.0,569.0,3772,2836.0,\"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.\",49.0,26,True,2021-01-26 10:22:47.000000,11.6.0,159.0,ocrmypdf,,,,,121.0,109.0,https://pypi.org/project/ocrmypdf,2021-01-26 10:22:47.000000,12.0,7903.0,7903.0,,,,,,,,2.0,,,,,,,,,,ocrmypdf,ocrmypdf,,,,,,,,,,,\n247,skorch,skorch-dev/skorch,,ml-frameworks,https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000000,2021-02-03 00:31:08.000000,2021-01-28 21:10:11.000000,271,48.0,316.0,3769,944.0,A scikit-learn compatible neural network library that wraps PyTorch.,39.0,26,True,2020-08-30 10:46:40.000000,0.9.0,12.0,skorch,conda-forge/skorch,,,\"['pytorch', 'sklearn']\",276.0,263.0,https://pypi.org/project/skorch,2020-08-30 10:43:37.000000,13.0,5537.0,11626.0,https://anaconda.org/conda-forge/skorch,2020-09-19 04:12:07.576000,176590.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n248,sktime,alan-turing-institute/sktime,,time-series-data,https://github.com/alan-turing-institute/sktime,https://github.com/alan-turing-institute/sktime,BSD-3-Clause,2018-11-06 15:08:24.000000,2021-02-04 14:50:25.000000,2021-02-04 12:24:13.000000,428,100.0,227.0,3555,1687.0,A unified framework for machine learning with time series.,74.0,26,True,2021-01-13 10:44:56.000000,0.5.2,11.0,sktime,,,,['sklearn'],97.0,97.0,https://pypi.org/project/sktime,2020-12-29 22:15:58.000000,0.0,7918.0,7920.0,,,,,,,,2.0,51.0,,,,,,,,,,,,,,,,,,,,,\n249,mlpack,mlpack/mlpack,,ml-frameworks,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59.000000,2021-02-04 11:08:50.000000,2021-02-03 22:33:54.000000,1292,156.0,1198.0,3549,25906.0,mlpack: a scalable C++ machine learning library --.,264.0,26,True,2020-10-28 18:28:47.000000,3.4.2,40.0,mlpack,conda-forge/mlpack,,,,,,https://pypi.org/project/mlpack,2020-10-28 18:28:47.000000,,88.0,2138.0,https://anaconda.org/conda-forge/mlpack,2020-10-29 09:35:18.918000,63560.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n250,InterpretML,interpretml/interpret,,interpretability,https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000000,2021-02-03 19:41:47.000000,2021-02-03 18:33:27.000000,428,48.0,121.0,3434,1488.0,Fit interpretable models. Explain blackbox machine learning.,23.0,26,True,2021-01-20 02:12:33.000000,0.2.4,34.0,interpret,,,,['jupyter'],63.0,61.0,https://pypi.org/project/interpret,2021-01-20 02:10:35.000000,2.0,7624.0,7624.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n251,Perspective,finos/perspective,,data-viz,https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000000,2021-02-04 01:30:32.000000,2021-02-01 05:22:44.000000,346,71.0,304.0,3179,4331.0,Streaming pivot visualization via WebAssembly.,62.0,26,True,2021-01-14 04:18:20.000000,0.6.0,39.0,perspective-python,,,,['jupyter'],176.0,172.0,https://pypi.org/project/perspective-python,2021-01-14 04:18:20.000000,4.0,405.0,1871.0,,,,,,,,3.0,,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2021-01-08 07:02:49.503000,,1466.0,,,,,,,,,,,,,,,\n252,yellowbrick,DistrictDataLabs/yellowbrick,,interpretability,https://github.com/DistrictDataLabs/yellowbrick,https://github.com/DistrictDataLabs/yellowbrick,Apache-2.0,2016-05-18 14:12:17.000000,2021-02-04 04:52:39.000000,2021-02-04 01:19:49.000000,473,88.0,512.0,3084,831.0,Visual analysis and diagnostic tools to facilitate machine learning model selection.,96.0,26,True,2021-01-15 19:35:31.000000,1.2.1,20.0,yellowbrick,,,,['sklearn'],62.0,,https://pypi.org/project/yellowbrick,2020-10-09 19:35:00.000000,62.0,45454.0,45454.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n253,textract,deanmalmgren/textract,,data-loading,https://github.com/deanmalmgren/textract,https://github.com/deanmalmgren/textract,MIT,2014-07-03 20:36:59.000000,2021-02-01 14:04:18.000000,2019-11-14 08:37:39.000000,424,84.0,121.0,2947,556.0,extract text from any document. no muss. no fuss.,30.0,26,False,2019-08-26 15:05:53.000000,1.6.3,15.0,textract,conda-forge/textract,,,,192.0,,https://pypi.org/project/textract,2019-08-26 15:05:53.000000,192.0,16517.0,16712.0,https://anaconda.org/conda-forge/textract,2017-03-20 21:15:33.254000,10371.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n254,ftfy,LuminosoInsight/python-ftfy,,nlp,https://github.com/LuminosoInsight/python-ftfy,https://github.com/LuminosoInsight/python-ftfy,MIT,2012-08-24 16:14:59.000000,2021-01-20 08:08:09.562000,2020-07-17 21:21:57.000000,101,15.0,92.0,2884,510.0,\"Fixes mojibake and other glitches in Unicode text, after the fact.\",17.0,26,True,2020-02-18 16:42:00.000000,5.6.1,41.0,ftfy,conda-forge/ftfy,,,,3485.0,2725.0,https://pypi.org/project/ftfy,2020-07-20 21:50:51.000000,760.0,235461.0,237507.0,https://anaconda.org/conda-forge/ftfy,2021-01-20 08:08:09.562000,94159.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n255,pomegranate,jmschrei/pomegranate,,probabilistics,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000000,2021-01-12 17:45:04.000000,2021-01-09 22:21:18.000000,470,40.0,540.0,2585,870.0,\"Fast, flexible and easy to use probabilistic modelling in Python.\",61.0,26,True,2020-07-12 21:28:17.000000,0.14.0,61.0,pomegranate,conda-forge/pomegranate,,,,445.0,389.0,https://pypi.org/project/pomegranate,2021-01-09 22:24:27.000000,56.0,14782.0,17072.0,https://anaconda.org/conda-forge/pomegranate,2020-11-01 16:22:04.857000,43512.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n256,Catalyst,catalyst-team/catalyst,,ml-experiments,https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13.000000,2021-02-04 13:01:16.000000,2021-01-21 11:13:00.000000,268,18.0,261.0,2422,1469.0,Accelerated deep learning R&D.,81.0,26,True,2020-12-20 10:12:32.000000,20.12,88.0,catalyst,,,,['pytorch'],321.0,283.0,https://pypi.org/project/catalyst,2021-02-03 07:06:09.000000,38.0,4518.0,4518.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n257,pygal,Kozea/pygal,,graph,https://github.com/Kozea/pygal,https://github.com/Kozea/pygal,LGPL-3.0,2011-09-23 10:17:50.000000,2020-12-24 20:11:00.000000,2020-10-14 16:41:45.000000,380,164.0,240.0,2323,1012.0,PYthon svg GrAph plotting Library.,69.0,26,False,2017-07-05 09:22:41.000000,2.4.0,74.0,pygal,conda-forge/pygal,,,,1152.0,,https://pypi.org/project/pygal,2020-10-14 13:06:35.000000,1152.0,46443.0,46729.0,https://anaconda.org/conda-forge/pygal,2019-06-04 02:55:56.728000,5737.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n258,GluonNLP,dmlc/gluon-nlp,,nlp,https://github.com/dmlc/gluon-nlp,https://github.com/dmlc/gluon-nlp,Apache-2.0,2018-04-04 20:57:13.000000,2021-02-03 11:35:27.000000,2021-02-02 23:57:13.000000,490,227.0,287.0,2214,819.0,\"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..\",79.0,26,True,2020-08-13 19:16:27.000000,0.10.0,25.0,gluonnlp,,,,['mxnet'],403.0,392.0,https://pypi.org/project/gluonnlp,2020-08-13 01:28:51.000000,11.0,23174.0,23174.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n259,gpustat,wookayin/gpustat,,gpu-utilities,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43.000000,2021-02-01 09:12:28.000000,2021-01-13 04:00:20.000000,183,20.0,48.0,2204,166.0,A simple command-line utility for querying and monitoring GPU status.,10.0,26,True,2019-07-22 06:37:00.000000,0.6.0,11.0,gpustat,conda-forge/gpustat,,,,663.0,605.0,https://pypi.org/project/gpustat,2021-01-02 05:59:41.000000,58.0,134413.0,135146.0,https://anaconda.org/conda-forge/gpustat,2020-11-24 19:59:04.772000,16881.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n260,Captum,pytorch/captum,,interpretability,https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000000,2021-02-04 00:25:57.000000,2021-02-04 00:19:11.000000,208,47.0,143.0,2114,789.0,Model interpretability and understanding for PyTorch.,68.0,26,True,2021-01-23 18:11:12.000000,0.3.1,5.0,captum,,,,['pytorch'],112.0,112.0,https://pypi.org/project/captum,2021-01-22 20:55:47.000000,0.0,8977.0,8977.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n261,Core ML Tools,apple/coremltools,,model-serialisation,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000000,2021-02-04 06:31:57.000000,2021-02-03 21:45:56.000000,320,316.0,307.0,2104,853.0,\"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.\",108.0,26,True,2020-10-10 18:21:00.000000,4.0,27.0,coremltools,,,,,591.0,458.0,https://pypi.org/project/coremltools,2020-10-10 18:16:12.000000,133.0,29804.0,29861.0,,,,,,,,1.0,2355.0,,,,,,,,,,,,,,,,,,,,,\n262,Cufflinks,santosjorge/cufflinks,,data-viz,https://github.com/santosjorge/cufflinks,https://github.com/santosjorge/cufflinks,MIT,2014-11-19 20:59:33.000000,2020-10-07 16:12:54.000000,2020-10-07 16:12:53.000000,535,81.0,120.0,2078,450.0,Productivity Tools for Plotly + Pandas.,37.0,26,True,2020-03-01 17:42:01.000000,0.17.3,27.0,cufflinks,,,,['pandas'],2873.0,2639.0,https://pypi.org/project/cufflinks,2020-03-01 17:42:01.000000,234.0,36896.0,36896.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n263,aubio,aubio/aubio,,audio,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44.000000,2021-01-19 16:59:52.641000,2021-01-19 09:51:49.000000,295,104.0,173.0,2040,4111.0,a library for audio and music analysis.,24.0,26,False,2019-02-27 09:00:43.000000,0.4.9,10.0,aubio,conda-forge/aubio,,,,226.0,210.0,https://pypi.org/project/aubio,2019-02-08 11:21:02.000000,16.0,1057.0,9196.0,https://anaconda.org/conda-forge/aubio,2021-01-19 16:59:52.641000,382545.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n264,TextDistance,life4/textdistance,,nlp,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10.000000,2021-01-29 15:41:57.288000,2021-01-29 09:03:55.000000,165,9.0,,1875,304.0,\"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..\",9.0,26,True,2021-01-29 09:04:46.000000,.4.2.1,21.0,textdistance,conda-forge/textdistance,,,,351.0,323.0,https://pypi.org/project/textdistance,2021-01-29 09:03:27.000000,28.0,85256.0,85901.0,https://anaconda.org/conda-forge/textdistance,2021-01-29 15:41:57.288000,21220.0,,,,,2.0,98.0,,,,,,,,,,,,,,,,,,,,,\n265,BoTorch,pytorch/botorch,,hyperopt,https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000000,2021-02-03 17:35:08.000000,2021-02-03 17:35:00.000000,175,40.0,113.0,1828,810.0,Bayesian optimization in PyTorch.,50.0,26,True,2020-12-08 06:47:25.000000,0.3.3,16.0,botorch,,,,['pytorch'],78.0,78.0,https://pypi.org/project/botorch,2020-12-08 06:47:25.000000,0.0,21468.0,21468.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n266,PyFunctional,EntilZha/PyFunctional,,data-pipelines,https://github.com/EntilZha/PyFunctional,https://github.com/EntilZha/PyFunctional,MIT,2015-02-05 17:17:51.000000,2021-01-12 19:21:06.000000,2021-01-12 19:14:24.000000,99,2.0,115.0,1777,516.0,Python library for creating data pipelines with chain functional programming.,23.0,26,True,2021-01-12 19:21:07.000000,1.4.3,14.0,pyfunctional,,,,,253.0,253.0,https://pypi.org/project/pyfunctional,2021-01-12 19:14:48.000000,0.0,26256.0,26256.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n267,langid,saffsd/langid.py,,nlp,https://github.com/saffsd/langid.py,https://github.com/saffsd/langid.py,BSD-3-Clause,2011-04-29 00:16:56.000000,2020-01-01 10:49:30.000000,2017-07-15 02:49:17.000000,265,25.0,45.0,1722,242.0,Stand-alone language identification system.,9.0,26,False,2016-04-05 22:34:15.000000,1.1.6,8.0,langid,,,,,859.0,609.0,https://pypi.org/project/langid,2016-04-05 22:34:15.000000,250.0,333836.0,333836.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n268,textacy,chartbeat-labs/textacy,,nlp,https://github.com/chartbeat-labs/textacy,https://github.com/chartbeat-labs/textacy,Apache-2.0,2016-02-03 16:52:45.000000,2021-01-10 22:37:28.000000,2021-01-09 19:21:48.000000,211,31.0,194.0,1601,1332.0,\"NLP, before and after spaCy.\",29.0,26,True,2020-08-29 20:51:05.000000,0.10.1,29.0,textacy,conda-forge/textacy,,,,77.0,,https://pypi.org/project/textacy,2020-08-29 20:51:28.000000,77.0,24028.0,25685.0,https://anaconda.org/conda-forge/textacy,2020-11-19 15:32:56.211000,74598.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n269,tesserocr,sirfz/tesserocr,,ocr,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36.000000,2021-01-18 20:15:27.000000,2021-01-18 20:15:13.000000,186,60.0,141.0,1388,155.0,A Python wrapper for the tesseract-ocr API.,23.0,26,True,2020-03-17 17:45:44.000000,2.5.1,15.0,tesserocr,conda-forge/tesserocr,,,,506.0,456.0,https://pypi.org/project/tesserocr,2020-03-17 17:45:44.000000,50.0,26788.0,28860.0,https://anaconda.org/conda-forge/tesserocr,2021-01-13 16:38:14.456000,33163.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n270,hnswlib,nmslib/hnswlib,,nn-search,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000000,2021-02-04 04:55:19.000000,2021-02-04 04:34:33.000000,242,83.0,107.0,1331,275.0,Header-only C++/python library for fast approximate nearest neighbors.,41.0,26,True,2021-02-04 04:55:19.000000,0.5.1,5.0,hnswlib,,,,,90.0,88.0,https://pypi.org/project/hnswlib,2021-02-04 04:55:19.000000,2.0,11165.0,11165.0,,,,,,,,2.0,,,,,,,,,4.0,,,,,,,,,,,,,\n271,TFX,tensorflow/tfx,,data-pipelines,https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000000,2021-02-04 07:26:10.000000,2021-02-04 06:33:16.000000,378,200.0,313.0,1305,3107.0,TFX is an end-to-end platform for deploying production ML pipelines.,103.0,26,True,2021-01-29 20:21:37.000000,0.26.1,40.0,tfx,,,,['tensorflow'],4.0,,https://pypi.org/project/tfx,2021-02-03 03:15:07.000000,4.0,79221.0,79221.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n272,agate,wireservice/agate,,others,https://github.com/wireservice/agate,https://github.com/wireservice/agate,MIT,2014-04-25 13:59:09.000000,2020-12-30 20:43:14.000000,2020-04-01 15:40:18.000000,131,54.0,588.0,1026,1355.0,A Python data analysis library that is optimized for humans instead of machines.,47.0,26,True,2018-03-11 14:37:30.000000,1.6.1,24.0,agate,conda-forge/agate,,,,582.0,490.0,https://pypi.org/project/agate,2018-03-11 14:37:30.000000,92.0,155379.0,156621.0,https://anaconda.org/conda-forge/agate,2018-08-19 06:02:58.597000,59650.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n273,TF Model Optimization,tensorflow/model-optimization,,tensorflow-utils,https://github.com/tensorflow/model-optimization,https://github.com/tensorflow/model-optimization,Apache-2.0,2018-10-31 20:34:28.000000,2021-02-04 00:42:42.000000,2021-02-04 00:42:32.000000,216,70.0,90.0,966,479.0,\"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.\",43.0,26,True,2020-09-14 04:46:03.000000,0.5.0,20.0,tensorflow-model-optimization,,,,['tensorflow'],561.0,558.0,https://pypi.org/project/tensorflow-model-optimization,2020-09-14 04:36:08.000000,3.0,38410.0,38410.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n274,pmdarima,alkaline-ml/pmdarima,,time-series-data,https://github.com/alkaline-ml/pmdarima,https://github.com/alkaline-ml/pmdarima,MIT,2017-03-30 14:58:30.000000,2021-02-02 14:20:12.000000,2021-01-20 15:47:36.000000,152,17.0,208.0,808,1023.0,\"A statistical library designed to fill the void in Python's time series analysis capabilities, including the..\",16.0,26,True,2020-12-02 23:17:04.000000,1.8.0,28.0,pmdarima,,,,,728.0,716.0,https://pypi.org/project/pmdarima,2020-12-02 23:17:04.000000,12.0,151966.0,151966.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n275,pyclustering,annoviko/pyclustering,,others,https://github.com/annoviko/pyclustering,https://github.com/annoviko/pyclustering,BSD-3-Clause,2014-02-25 18:59:03.000000,2021-01-25 21:14:55.053000,2020-12-03 10:56:55.000000,185,53.0,583.0,782,2066.0,\"pyclustring is a Python, C++ data mining library.\",26.0,26,True,2020-11-25 22:33:07.000000,0.10.1.2,46.0,pyclustering,conda-forge/pyclustering,,,,210.0,174.0,https://pypi.org/project/pyclustering,2020-11-25 22:41:20.000000,36.0,18286.0,19215.0,https://anaconda.org/conda-forge/pyclustering,2021-01-25 21:14:55.053000,12942.0,,,,,2.0,285.0,,,,,,,,,,,,,,,,,,,,,\n276,Mesh,tensorflow/mesh,,distributed-ml,https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34.000000,2021-02-03 20:00:33.000000,2021-02-03 20:00:23.000000,127,72.0,12.0,748,582.0,Mesh TensorFlow: Model Parallelism Made Easier.,38.0,26,True,2020-12-17 23:10:07.000000,0.1.18,24.0,mesh-tensorflow,,,,['tensorflow'],519.0,491.0,https://pypi.org/project/mesh-tensorflow,2020-12-17 23:10:07.000000,28.0,77810.0,77810.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n277,TensorFlow Text,tensorflow/text,,nlp,https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000000,2021-02-04 00:31:22.000000,2021-02-04 00:20:58.000000,85,40.0,84.0,688,347.0,Making text a first-class citizen in TensorFlow.,32.0,26,True,2021-01-13 04:36:01.000000,2.4.3,32.0,tensorflow-text,,,,['tensorflow'],455.0,451.0,https://pypi.org/project/tensorflow-text,2021-01-13 04:24:47.000000,4.0,96903.0,96903.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n278,PyVista,pyvista/pyvista,,data-viz,https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000000,2021-02-04 07:04:11.000000,2021-02-04 06:37:23.000000,142,131.0,272.0,677,2090.0,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,53.0,26,True,2021-02-04 05:34:23.000000,0.28.1,37.0,pyvista,conda-forge/pyvista,,,['jupyter'],274.0,248.0,https://pypi.org/project/pyvista,2021-02-04 05:34:23.000000,26.0,7727.0,10502.0,https://anaconda.org/conda-forge/pyvista,2020-12-10 19:09:38.280000,58264.0,,,,,3.0,46.0,,,,,,,,,,,,,,,,,,,,,\n279,geojson,jazzband/geojson,,geospatial-data,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48.000000,2020-11-25 21:55:02.000000,2020-11-25 19:10:27.000000,79,20.0,50.0,595,445.0,Python bindings and utilities for GeoJSON.,44.0,26,True,2019-08-09 20:32:15.000000,2.5.0,28.0,geojson,conda-forge/geojson,,,,7319.0,5715.0,https://pypi.org/project/geojson,2019-08-09 20:32:15.000000,1604.0,290383.0,296584.0,https://anaconda.org/conda-forge/geojson,2019-08-11 12:10:34.426000,365895.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n280,spleeter,deezer/spleeter,,audio,https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000000,2021-01-29 17:20:48.000000,2021-01-29 17:20:48.000000,1580,98.0,409.0,15494,427.0,Deezer source separation library including pretrained models.,17.0,25,True,2021-01-08 18:22:28.000000,2.1.2,30.0,spleeter,conda-forge/spleeter,,,['tensorflow'],0.0,,https://pypi.org/project/spleeter,2021-01-08 18:22:28.000000,0.0,4174.0,64224.0,https://anaconda.org/conda-forge/spleeter,2020-06-30 14:33:43.220000,41796.0,,,,,2.0,916226.0,,,,,,,,,,,,,,,,,,,,,\n281,MMDetection,open-mmlab/mmdetection,,image,https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000000,2021-02-04 13:25:22.000000,2021-02-01 07:36:45.000000,4665,346.0,3008.0,13542,1420.0,OpenMMLab Detection Toolbox and Benchmark.,185.0,25,True,2021-02-01 05:52:50.000000,2.9.0,9.0,,,,,['pytorch'],25.0,25.0,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n282,Ludwig,ludwig-ai/ludwig,,ml-frameworks,https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000000,2021-02-04 04:31:02.000000,2021-02-01 00:20:55.000000,887,116.0,409.0,7524,2056.0,Ludwig is a toolbox that allows to train and evaluate deep learning models without the need to write code.,86.0,25,True,2021-02-01 00:23:30.000000,0.3.3,17.0,ludwig,,,,['tensorflow'],91.0,79.0,https://pypi.org/project/ludwig,2021-02-01 00:16:18.000000,12.0,836.0,836.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n283,PyText,facebookresearch/pytext,,nlp,https://github.com/facebookresearch/pytext,https://github.com/facebookresearch/pytext,BSD-3-Clause,2018-07-31 23:40:46.000000,2021-02-04 04:59:00.000000,2021-02-04 04:58:44.000000,764,115.0,74.0,6125,1386.0,A natural language modeling framework based on PyTorch.,152.0,25,True,2020-06-08 23:30:58.000000,0.3.3,12.0,pytext-nlp,,,,['pytorch'],64.0,63.0,https://pypi.org/project/pytext-nlp,2020-04-27 08:09:25.000000,1.0,247.0,255.0,,,,,,,,2.0,215.0,,,,,,,,,,,,,,,,,,,,,\n284,Trax,google/trax,,others,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000000,2021-02-04 01:28:16.000000,2021-02-03 17:52:07.000000,527,55.0,101.0,5669,1301.0,Trax Deep Learning with Clear Code and Speed.,57.0,25,True,2020-12-18 17:22:13.000000,1.3.7,20.0,trax,,,,,21.0,21.0,https://pypi.org/project/trax,2020-12-18 17:22:13.000000,,2072.0,2072.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n285,Milvus,milvus-io/milvus,,nn-search,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000000,2021-02-04 08:42:44.000000,2021-02-04 08:42:42.000000,787,218.0,1885.0,5042,5566.0,\"An open source embedding vector similarity search engine powered by Faiss, NMSLIB and Annoy.\",135.0,25,True,2021-01-21 05:32:04.000000,0.4.0,44.0,pymilvus,,milvusdb/milvus,,,6.0,,https://pypi.org/project/pymilvus,2021-01-21 05:32:04.000000,6.0,5902.0,19741.0,,,,https://hub.docker.com/r/milvusdb/milvus,2021-01-06 06:23:42.478311,9.0,235278.0,2.0,,,,,,,,,,,,,,,,,,,,,,\n286,PyTorch3D,facebookresearch/pytorch3d,,image,https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,MIT,2019-10-25 02:23:45.000000,2021-02-04 02:24:35.000000,2021-02-04 02:24:27.000000,481,54.0,417.0,4288,379.0,PyTorch3D is FAIR's library of reusable components for deep learning with 3D data.,53.0,25,True,2020-11-12 10:28:29.000000,0.3.0,6.0,pytorch3d,pytorch3d/pytorch3d,,,['pytorch'],47.0,47.0,https://pypi.org/project/pytorch3d,2020-11-12 10:28:29.000000,,3202.0,3615.0,https://anaconda.org/pytorch3d/pytorch3d,2020-11-12 10:28:27.832000,6209.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n287,pyAudioAnalysis,tyiannak/pyAudioAnalysis,,audio,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13.000000,2021-01-25 09:10:48.000000,2021-01-04 18:37:38.000000,963,165.0,106.0,3737,675.0,\"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.\",23.0,25,True,2020-09-29 21:30:02.000000,0.3.6,15.0,pyAudioAnalysis,,,,,189.0,178.0,https://pypi.org/project/pyAudioAnalysis,2020-09-29 21:30:02.000000,11.0,5051.0,5051.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n288,BigDL,intel-analytics/BigDL,,distributed-ml,https://github.com/intel-analytics/BigDL,https://github.com/intel-analytics/BigDL,Apache-2.0,2016-08-29 07:59:50.000000,2021-01-21 17:42:35.000000,2021-01-21 17:42:34.000000,904,182.0,727.0,3699,2659.0,BigDL: Distributed Deep Learning Framework for Apache Spark.,71.0,25,True,2021-01-05 05:55:32.000000,0.12.1,37.0,bigdl,,,,,28.0,22.0,https://pypi.org/project/bigdl,2020-12-29 06:08:45.000000,6.0,1781.0,1781.0,,,,,,,,2.0,,,,,,,,,,,,,,,com.intel.analytics.bigdl:bigdl-SPARK_2.4,https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4,2020-12-05 03:54:47.000000,0.0,,,,\n289,pyfolio,quantopian/pyfolio,,financial-data,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39.000000,2020-07-29 16:06:37.000000,2020-07-15 13:46:58.000000,1078,124.0,263.0,3453,1184.0,Portfolio and risk analytics in Python.,55.0,25,True,2019-04-15 14:54:03.000000,0.9.1,21.0,pyfolio,conda-forge/pyfolio,,,,249.0,195.0,https://pypi.org/project/pyfolio,2019-04-15 14:54:03.000000,54.0,4236.0,4389.0,https://anaconda.org/conda-forge/pyfolio,2020-05-16 14:11:57.267000,5527.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n290,AutoGluon,awslabs/autogluon,,hyperopt,https://github.com/awslabs/autogluon,https://github.com/awslabs/autogluon,Apache-2.0,2019-07-29 18:51:24.000000,2021-02-04 09:13:57.000000,2021-02-03 21:08:54.000000,384,144.0,234.0,2950,493.0,\"AutoGluon: AutoML for Text, Image, and Tabular Data.\",50.0,25,True,2020-12-08 19:01:22.000000,0.0.15,317.0,autogluon,,,,['mxnet'],46.0,46.0,https://pypi.org/project/autogluon,2021-02-04 09:13:57.000000,0.0,5859.0,5859.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n291,TensorForce,tensorforce/tensorforce,,reinforcement-learning,https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22.000000,2021-01-21 21:27:05.000000,2021-01-21 21:26:58.000000,489,6.0,541.0,2854,2014.0,Tensorforce: a TensorFlow library for applied reinforcement learning.,76.0,25,True,2020-10-03 16:00:39.000000,0.6.2,12.0,tensorforce,,,,['tensorflow'],46.0,,https://pypi.org/project/tensorforce,2019-09-07 13:56:18.000000,46.0,531.0,531.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n292,nevergrad,facebookresearch/nevergrad,,hyperopt,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000000,2021-01-28 12:05:40.000000,2021-01-28 11:50:23.000000,272,80.0,119.0,2811,763.0,A Python toolbox for performing gradient-free optimization.,42.0,25,True,2021-01-28 12:05:40.000000,0.4.3,27.0,nevergrad,conda-forge/nevergrad,,,,139.0,125.0,https://pypi.org/project/nevergrad,2021-01-28 12:05:40.000000,14.0,7315.0,7901.0,https://anaconda.org/conda-forge/nevergrad,2020-12-14 18:21:29.267000,5860.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n293,Neural Network Libraries,sony/nnabla,,ml-frameworks,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10.000000,2021-02-03 08:50:51.000000,2021-02-01 07:44:46.000000,301,36.0,22.0,2404,2375.0,Neural Network Libraries.,55.0,25,True,2021-01-30 03:35:55.000000,1.16.0,52.0,nnabla,,,,,34.0,,https://pypi.org/project/nnabla,2021-01-29 14:09:09.000000,34.0,1444.0,1456.0,,,,,,,,3.0,521.0,,,,,,,,,,,,,,,,,,,,,\n294,spark-nlp,JohnSnowLabs/spark-nlp,,nlp,https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000000,2021-02-04 14:52:15.000000,2021-02-03 20:40:50.000000,407,73.0,343.0,1924,6029.0,State of the Art Natural Language Processing.,75.0,25,True,2021-01-25 13:57:52.000000,2.7.2,73.0,spark-nlp,,,,['spark'],0.0,,https://pypi.org/project/spark-nlp,2021-01-25 10:58:44.000000,0.0,297879.0,297879.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n295,Foolbox,bethgelab/foolbox,,adversarial,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48.000000,2021-01-22 09:03:53.000000,2020-12-20 18:05:23.000000,316,43.0,262.0,1774,1637.0,\"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.\",30.0,25,True,2020-09-26 06:49:13.000000,3.2.1,66.0,foolbox,,,,,183.0,165.0,https://pypi.org/project/foolbox,2020-09-26 06:49:13.000000,18.0,860.0,860.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n296,StellarGraph,stellargraph/stellargraph,,graph,https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51.000000,2021-02-02 01:28:33.000000,2021-01-31 22:55:58.000000,253,211.0,702.0,1750,2515.0,StellarGraph - Machine Learning on Graphs.,30.0,25,True,2020-06-30 05:15:21.000000,1.2.1,25.0,stellargraph,,,,['tensorflow'],47.0,45.0,https://pypi.org/project/stellargraph,2020-06-25 09:38:56.000000,2.0,3773.0,3773.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n297,pgmpy,pgmpy/pgmpy,,probabilistics,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000000,2021-02-02 14:05:26.000000,2021-02-02 14:05:24.000000,556,224.0,494.0,1693,6.0,Python Library for learning (Structure and Parameter) and inference (Statistical and Causal) in Bayesian Networks.,88.0,25,True,2020-12-30 13:56:53.000000,0.1.13,12.0,pgmpy,,,,,193.0,181.0,https://pypi.org/project/pgmpy,2020-12-30 13:01:04.000000,12.0,17729.0,17735.0,,,,,,,,3.0,53.0,,,,,,,,,,,,,,,,,,,,,\n298,efficientnet,qubvel/efficientnet,,tensorflow-utils,https://github.com/qubvel/efficientnet,https://github.com/qubvel/efficientnet,Apache-2.0,2019-05-30 20:21:09.000000,2020-12-10 07:02:58.000000,2020-09-15 16:19:36.000000,380,49.0,55.0,1690,64.0,Implementation of EfficientNet model. Keras and TensorFlow Keras.,8.0,25,True,2020-09-15 16:26:00.000000,1.1.1,9.0,efficientnet,,,,['tensorflow'],500.0,498.0,https://pypi.org/project/efficientnet,2020-09-15 16:26:00.000000,2.0,52237.0,59333.0,,,,,,,,3.0,149023.0,,,,,,,,,,,,,,,,,,,,,\n299,pytorch-optimizer,jettify/pytorch-optimizer,,pytorch-utils,https://github.com/jettify/pytorch-optimizer,https://github.com/jettify/pytorch-optimizer,Apache-2.0,2020-01-03 03:16:39.000000,2021-02-02 10:32:36.000000,2021-01-28 10:35:26.000000,155,10.0,25.0,1671,347.0,torch-optimizer -- collection of optimizers for Pytorch.,19.0,25,True,2021-01-01 16:51:15.000000,0.1.0,19.0,torch_optimizer,,,,['pytorch'],113.0,113.0,https://pypi.org/project/torch_optimizer,2021-01-01 16:51:15.000000,0.0,8732.0,8732.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n300,HyperTools,ContextLab/hypertools,,data-viz,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25.000000,2021-01-06 14:11:39.000000,2021-01-06 14:11:38.000000,151,69.0,122.0,1612,1591.0,A Python toolbox for gaining geometric insights into high-dimensional data.,21.0,25,True,2020-10-02 21:38:16.000000,0.6.3,19.0,hypertools,,,,,110.0,101.0,https://pypi.org/project/hypertools,2020-10-02 21:41:53.000000,9.0,168.0,168.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n301,causalml,uber/causalml,,others,https://github.com/uber/causalml,https://github.com/uber/causalml,Apache-2.0,2019-07-09 02:08:58.000000,2021-02-03 02:20:18.000000,2021-02-03 02:20:17.000000,244,19.0,133.0,1595,302.0,Uplift modeling and causal inference with machine learning algorithms.,23.0,25,True,2020-10-23 22:53:43.000000,0.9.0,12.0,causalml,,,,,11.0,11.0,https://pypi.org/project/causalml,2020-10-23 22:44:35.000000,,8715.0,8715.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n302,swifter,jmcarpenter2/swifter,,data-containers,https://github.com/jmcarpenter2/swifter,https://github.com/jmcarpenter2/swifter,MIT,2018-04-07 21:37:19.000000,2020-12-19 19:11:45.000000,2020-12-19 19:11:44.000000,68,14.0,76.0,1525,423.0,A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner.,14.0,25,True,2020-10-11 22:42:57.000000,1.0.7,71.0,swifter,conda-forge/swifter,,,['pandas'],293.0,277.0,https://pypi.org/project/swifter,2020-10-11 22:42:57.000000,16.0,37676.0,41105.0,https://anaconda.org/conda-forge/swifter,2020-09-20 15:08:56.885000,75439.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n303,Pythran,serge-sans-paille/pythran,,others,https://github.com/serge-sans-paille/pythran,https://github.com/serge-sans-paille/pythran,BSD-3-Clause,2012-05-29 08:02:14.000000,2021-02-02 06:19:23.000000,2021-02-02 06:19:22.000000,134,99.0,544.0,1498,3320.0,Ahead of Time compiler for numeric kernels.,48.0,25,True,2020-12-09 20:06:55.000000,0.9.8,44.0,pythran,conda-forge/pythran,,,,61.0,48.0,https://pypi.org/project/pythran,2020-12-11 23:02:35.000000,13.0,3507.0,7259.0,https://anaconda.org/conda-forge/pythran,2021-01-27 16:08:46.611000,123840.0,,,,,2.0,,,,,,,,,,,,,,,,,,,pythran,python-pythran,,\n304,streamparse,Parsely/streamparse,,data-pipelines,https://github.com/Parsely/streamparse,https://github.com/Parsely/streamparse,Apache-2.0,2014-05-02 20:33:50.000000,2020-12-18 18:44:04.000000,2020-12-18 18:43:59.000000,219,69.0,263.0,1427,1059.0,\"Run Python in Apache Storm topologies. Pythonic API, CLI tooling, and a topology DSL.\",40.0,25,True,2020-10-07 19:53:15.000000,4.0.0,47.0,streamparse,,,,,73.0,47.0,https://pypi.org/project/streamparse,2020-10-07 19:45:19.000000,26.0,1507.0,1507.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n305,chainercv,chainer/chainercv,,image,https://github.com/chainer/chainercv,https://github.com/chainer/chainercv,MIT,2017-02-13 04:15:10.000000,2020-02-03 01:27:17.000000,2020-01-07 11:48:31.000000,318,54.0,168.0,1426,4930.0,ChainerCV: a Library for Deep Learning in Computer Vision.,39.0,25,False,2019-06-12 11:55:02.000000,0.13.1,23.0,chainercv,,,,,247.0,223.0,https://pypi.org/project/chainercv,2019-05-31 08:53:39.000000,24.0,3264.0,3264.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n306,jellyfish,jamesturk/jellyfish,,nlp,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,BSD-2-Clause,2010-07-09 20:41:11.000000,2021-01-08 15:04:47.681000,2020-12-30 16:47:13.000000,124,9.0,86.0,1390,,a python library for doing approximate and phonetic matching of strings.,20.0,25,True,2020-05-21 20:37:01.000000,0.8.2,27.0,jellyfish,conda-forge/jellyfish,,,,2727.0,2081.0,https://pypi.org/project/jellyfish,2020-05-21 20:37:01.000000,646.0,600384.0,602430.0,https://anaconda.org/conda-forge/jellyfish,2021-01-08 15:04:47.681000,108460.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n307,mtcnn,ipazc/mtcnn,,image,https://github.com/ipazc/mtcnn,https://github.com/ipazc/mtcnn,MIT,2018-01-05 04:08:32.000000,2021-02-03 15:49:06.000000,2021-01-13 23:50:58.000000,373,53.0,36.0,1388,55.0,\"MTCNN face detection implementation for TensorFlow, as a PIP package.\",14.0,25,True,2019-11-14 17:37:05.000000,0.1.0,10.0,mtcnn,,,,['tensorflow'],889.0,847.0,https://pypi.org/project/mtcnn,2019-11-14 17:37:05.000000,42.0,8459.0,8459.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n308,Ax,facebook/Ax,,hyperopt,https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000000,2021-02-04 01:17:33.000000,2021-02-04 01:17:24.000000,140,35.0,179.0,1380,915.0,Adaptive Experimentation Platform.,91.0,25,True,2020-12-08 19:07:48.000000,0.1.19,20.0,ax-platform,,,,['pytorch'],134.0,130.0,https://pypi.org/project/ax-platform,2020-12-08 19:07:48.000000,4.0,13740.0,13740.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n309,dtreeviz,parrt/dtreeviz,,interpretability,https://github.com/parrt/dtreeviz,https://github.com/parrt/dtreeviz,MIT,2018-08-13 21:45:15.000000,2021-02-03 16:54:41.000000,2021-02-02 20:51:51.000000,186,15.0,69.0,1357,325.0,A python library for decision tree visualization and model interpretation.,15.0,25,True,2021-01-27 00:33:05.000000,1.1.4,21.0,dtreeviz,,,,,110.0,106.0,https://pypi.org/project/dtreeviz,2021-01-27 00:31:39.000000,4.0,9775.0,9775.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n310,ViZDoom,mwydmuch/ViZDoom,,reinforcement-learning,https://github.com/mwydmuch/ViZDoom,https://github.com/mwydmuch/ViZDoom,MIT,2015-06-26 18:38:23.000000,2021-01-25 16:15:57.000000,2021-01-25 16:15:54.000000,282,86.0,329.0,1161,1463.0,Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information.,44.0,25,True,2020-10-29 15:54:47.000000,1.1.8,19.0,vizdoom,,,,,117.0,105.0,https://pypi.org/project/vizdoom,2020-10-29 15:56:20.000000,12.0,269.0,446.0,,,,,,,,2.0,10496.0,,,,,,,,,,,,,,,,,,,,,\n311,ArcGIS API,Esri/arcgis-python-api,,geospatial-data,https://github.com/Esri/arcgis-python-api,https://github.com/Esri/arcgis-python-api,Apache-2.0,2016-03-16 01:09:14.000000,2021-01-27 23:12:21.000000,2021-01-26 04:34:34.000000,705,109.0,197.0,953,3011.0,Documentation and samples for ArcGIS API for Python.,61.0,25,True,2021-01-27 23:12:21.000000,1.8.4,26.0,arcgis,,esridocker/arcgis-api-python-notebook,,,20.0,,https://pypi.org/project/arcgis,2021-01-27 23:04:37.000000,20.0,11621.0,11684.0,,,,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,2020-03-06 00:53:45.164342,29.0,3719.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n312,arviz,arviz-devs/arviz,,interpretability,https://github.com/arviz-devs/arviz,https://github.com/arviz-devs/arviz,Apache-2.0,2015-07-29 11:51:10.000000,2021-02-04 08:30:57.000000,2021-01-29 20:36:51.000000,178,108.0,417.0,945,,Exploratory analysis of Bayesian models with Python.,64.0,25,True,2021-01-17 23:32:12.000000,0.11.0,21.0,arviz,conda-forge/arviz,,,,733.0,697.0,https://pypi.org/project/arviz,2021-01-17 23:32:12.000000,36.0,89448.0,98104.0,https://anaconda.org/conda-forge/arviz,2021-01-18 02:16:25.172000,181731.0,,,,,2.0,98.0,,,,,,,,,,,,,,,,,,,,,\n313,bcolz,Blosc/bcolz,,data-containers,https://github.com/Blosc/bcolz,https://github.com/Blosc/bcolz,BSD-3-Clause,2010-08-18 15:27:02.000000,2020-09-10 12:12:51.000000,2020-09-10 12:12:45.000000,115,126.0,121.0,909,1280.0,A columnar data container that can be compressed.,33.0,25,True,2018-04-13 07:44:26.000000,1.2.1,23.0,bcolz,conda-forge/bcolz,,,,2466.0,1498.0,https://pypi.org/project/bcolz,2018-04-13 07:44:26.000000,968.0,13374.0,17773.0,https://anaconda.org/conda-forge/bcolz,2019-11-05 21:09:48.045000,211195.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n314,PySAL,pysal/pysal,,geospatial-data,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42.000000,2021-02-02 02:59:42.000000,2021-02-01 00:35:48.000000,241,58.0,583.0,818,4119.0,PySAL: Python Spatial Analysis Library Meta-Package.,71.0,25,True,2021-02-01 00:43:02.000000,2.4.0,25.0,pysal,conda-forge/pysal,,,,36.0,,https://pypi.org/project/pysal,2021-02-02 02:59:42.000000,36.0,6952.0,14175.0,https://anaconda.org/conda-forge/pysal,2020-07-30 10:24:58.290000,397273.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n315,empyrical,quantopian/empyrical,,financial-data,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52.000000,2020-10-14 13:28:13.625000,2020-10-14 13:22:39.000000,223,27.0,26.0,711,167.0,Common financial risk and performance metrics. Used by zipline and pyfolio.,22.0,25,True,2020-10-13 21:28:25.000000,0.5.5,20.0,empyrical,conda-forge/empyrical,,,,731.0,509.0,https://pypi.org/project/empyrical,2020-10-13 17:31:37.000000,222.0,19176.0,19436.0,https://anaconda.org/conda-forge/empyrical,2020-10-14 13:28:13.625000,9372.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n316,Satpy,pytroll/satpy,,geospatial-data,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000000,2021-02-04 14:00:34.000000,2021-02-03 21:57:37.000000,191,300.0,292.0,671,8175.0,Python package for earth-observing satellite data processing.,103.0,25,False,2021-01-07 03:03:07.000000,0.25.1,63.0,satpy,conda-forge/satpy,,,,45.0,39.0,https://pypi.org/project/satpy,2021-01-07 03:03:07.000000,6.0,195.0,1892.0,https://anaconda.org/conda-forge/satpy,2021-01-07 15:09:16.887000,52630.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n317,mahotas,luispedro/mahotas,,image,https://github.com/luispedro/mahotas,https://github.com/luispedro/mahotas,MIT,2010-01-31 00:13:06.000000,2021-01-22 05:47:20.379000,2021-01-13 11:55:02.000000,132,16.0,57.0,666,1276.0,Computer Vision in Python.,30.0,25,True,2020-06-11 11:35:18.000000,1.4.11,57.0,mahotas,conda-forge/mahotas,,,,753.0,563.0,https://pypi.org/project/mahotas,2020-08-16 17:22:48.000000,190.0,9630.0,13902.0,https://anaconda.org/conda-forge/mahotas,2021-01-22 05:47:20.379000,252049.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n318,pyahocorasick,WojciechMula/pyahocorasick,,nlp,https://github.com/WojciechMula/pyahocorasick,https://github.com/WojciechMula/pyahocorasick,BSD-3-Clause,2013-05-30 19:55:46.000000,2021-01-26 17:43:38.000000,2021-01-26 17:43:28.000000,88,32.0,66.0,574,410.0,Python module (C extension and plain python) implementing Aho-Corasick algorithm.,20.0,25,True,2021-01-26 17:38:47.000000,1.4.1,23.0,pyahocorasick,conda-forge/pyahocorasick,,,,594.0,490.0,https://pypi.org/project/pyahocorasick,2021-01-26 17:38:47.000000,104.0,78992.0,81846.0,https://anaconda.org/conda-forge/pyahocorasick,2020-10-13 12:20:05.350000,108471.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n319,SMAC3,automl/SMAC3,,hyperopt,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-3-Clause,2016-08-17 10:58:05.000000,2021-01-27 16:18:49.000000,2020-10-29 10:14:55.000000,153,76.0,250.0,555,1888.0,Sequential Model-based Algorithm Configuration.,30.0,25,True,2020-10-29 10:57:56.000000,0.13.1,29.0,smac,,,,,58.0,,https://pypi.org/project/smac,2020-10-29 10:57:56.000000,58.0,5725.0,5725.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n320,TensorFlow I/O,tensorflow/io,,tensorflow-utils,https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05.000000,2021-02-04 03:05:45.000000,2021-02-04 03:05:44.000000,147,116.0,273.0,413,1356.0,\"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.\",72.0,25,True,2020-12-15 00:45:37.000000,0.17.0,21.0,tensorflow-io,,,,['tensorflow'],105.0,105.0,https://pypi.org/project/tensorflow-io,2020-12-15 00:42:35.000000,0.0,29482.0,29482.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n321,mpi4py,mpi4py/mpi4py,,distributed-ml,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-3-Clause,2013-09-05 14:44:25.000000,2021-02-04 12:14:17.000000,2021-02-04 12:02:09.000000,61,2.0,7.0,379,2219.0,Python bindings for MPI.,13.0,25,True,2020-07-27 06:40:19.000000,3.0.3,13.0,mpi4py,conda-forge/mpi4py,,,,700.0,,https://pypi.org/project/mpi4py,2019-11-04 13:05:10.000000,700.0,87718.0,97667.0,https://anaconda.org/conda-forge/mpi4py,2021-01-19 17:48:43.682000,521137.0,,,,,2.0,822.0,,,,,,,,,,,,,,,,,,,,,\n322,python-soundfile,bastibe/python-soundfile,,audio,https://github.com/bastibe/python-soundfile,https://github.com/bastibe/python-soundfile,BSD-3-Clause,2013-08-27 13:36:52.000000,2021-01-13 07:52:51.000000,2020-12-01 18:42:47.000000,43,57.0,87.0,360,493.0,\"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.\",19.0,25,True,2019-12-04 10:03:39.000000,0.10.3post1,7.0,soundfile,,,,,6224.0,5484.0,https://pypi.org/project/soundfile,2018-04-19 07:13:19.000000,740.0,253285.0,253309.0,,,,,,,,2.0,2084.0,,,,,,,,,,,,,,,,,,,,,\n323,hvPlot,holoviz/hvplot,,data-viz,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000000,2021-01-17 16:07:26.000000,2021-01-17 16:07:25.000000,49,97.0,223.0,341,367.0,\"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.\",22.0,25,True,2020-12-16 22:59:26.000000,0.7.0,9.0,hvplot,conda-forge/hvplot,,,,474.0,459.0,https://pypi.org/project/hvplot,2020-06-02 00:27:18.000000,15.0,22180.0,24268.0,https://anaconda.org/conda-forge/hvplot,2021-01-06 23:26:19.353000,62644.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n324,tabulator-py,frictionlessdata/tabulator-py,,data-loading,https://github.com/frictionlessdata/tabulator-py,https://github.com/frictionlessdata/tabulator-py,MIT,2015-08-24 05:34:38.000000,2020-11-30 09:29:14.000000,2020-11-30 08:49:22.000000,40,,176.0,200,646.0,Python library for reading and writing tabular data via streams.,24.0,25,True,2020-11-30 09:29:14.000000,1.53.1,138.0,tabulator,conda-forge/tabulator-py,,,,566.0,462.0,https://pypi.org/project/tabulator,2020-11-30 09:29:14.000000,104.0,75973.0,76829.0,https://anaconda.org/conda-forge/tabulator-py,2018-07-24 12:57:07.018000,37704.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n325,PaddleOCR,PaddlePaddle/PaddleOCR,,ocr,https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000000,2021-02-04 11:52:18.000000,2021-02-04 11:51:59.000000,2036,432.0,857.0,10680,,\"Awesome multilingual OCR toolkits based on PaddlePaddle practical ultra lightweight OCR system, provide data..\",41.0,24,True,2020-12-18 04:01:23.000000,2.0.2,10.0,paddleocr,,,,['paddle'],20.0,20.0,https://pypi.org/project/paddleocr,2020-12-18 04:01:23.000000,0.0,1102.0,1102.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n326,ParlAI,facebookresearch/ParlAI,,nlp,https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44.000000,2021-02-04 05:13:16.000000,2021-02-03 21:02:15.000000,1439,90.0,839.0,6966,3612.0,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,141.0,24,True,2021-01-19 19:10:47.000000,1.0.0,13.0,parlai,,,,['pytorch'],8.0,8.0,https://pypi.org/project/parlai,2021-01-19 19:10:47.000000,,779.0,779.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n327,Facets Overview,pair-code/facets,,data-viz,https://github.com/PAIR-code/facets,https://github.com/PAIR-code/facets,Apache-2.0,2017-07-07 14:03:03.000000,2021-02-04 01:45:25.000000,2020-10-27 19:51:22.000000,794,72.0,75.0,6491,259.0,Visualizations for machine learning datasets.,27.0,24,True,2019-07-24 15:33:29.000000,0.9.1,4.0,facets-overview,,,,['jupyter'],38.0,38.0,https://pypi.org/project/facets-overview,2019-07-24 15:33:29.000000,,25134.0,25134.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n328,NuPIC,numenta/nupic,,ml-frameworks,https://github.com/numenta/nupic,https://github.com/numenta/nupic,AGPL-3.0,2013-04-05 23:14:27.000000,2020-12-11 19:56:36.000000,2019-10-23 20:45:07.000000,1585,456.0,1337.0,6195,6625.0,\"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..\",120.0,24,False,2018-06-01 15:37:54.000000,1.0.5,53.0,nupic,,,,,131.0,93.0,https://pypi.org/project/nupic,2018-06-01 15:37:54.000000,38.0,869.0,869.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n329,keras-rl,keras-rl/keras-rl,,reinforcement-learning,https://github.com/keras-rl/keras-rl,https://github.com/keras-rl/keras-rl,MIT,2016-07-02 15:53:12.000000,2020-11-20 07:32:13.000000,2019-11-11 22:14:54.000000,1284,39.0,211.0,4944,308.0,Deep Reinforcement Learning for Keras.,40.0,24,False,2018-06-01 07:52:24.000000,0.4.2,8.0,keras-rl,,,,['tensorflow'],505.0,454.0,https://pypi.org/project/keras-rl,2018-06-01 07:52:24.000000,51.0,841.0,841.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n330,Edward,blei-lab/edward,,probabilistics,https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05.000000,2019-10-22 20:30:48.000000,2018-07-25 01:28:08.000000,767,212.0,327.0,4601,1796.0,\"A probabilistic programming language in TensorFlow. Deep generative models, variational inference.\",87.0,24,False,2018-01-22 06:03:37.000000,1.3.5,28.0,edward,,,,['tensorflow'],244.0,207.0,https://pypi.org/project/edward,2018-01-22 06:03:05.000000,37.0,489.0,489.0,,,,,,,,3.0,10.0,,,,,,,,,,,,,,,,,,,,,\n331,Augmentor,mdbloice/Augmentor,,image,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55.000000,2020-11-10 05:20:01.000000,2020-03-09 11:32:02.000000,778,115.0,67.0,4303,511.0,Image augmentation library in Python for machine learning.,22.0,24,True,2020-01-17 11:59:53.000000,0.2.8,20.0,Augmentor,,,,,318.0,276.0,https://pypi.org/project/Augmentor,2020-01-17 11:59:53.000000,42.0,3526.0,3526.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n332,textgenrnn,minimaxir/textgenrnn,,nlp,https://github.com/minimaxir/textgenrnn,https://github.com/minimaxir/textgenrnn,MIT,2017-08-07 02:13:37.000000,2020-12-25 03:33:19.000000,2020-07-14 02:41:10.000000,654,107.0,79.0,4241,174.0,Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines..,19.0,24,True,2020-02-03 01:07:00.000000,2.0.0,14.0,textgenrnn,,,,['tensorflow'],629.0,615.0,https://pypi.org/project/textgenrnn,2020-02-02 21:16:15.000000,14.0,1659.0,1670.0,,,,,,,,3.0,400.0,,,,,,,,,,,,,,,,,,,,,\n333,Lucid,tensorflow/lucid,,interpretability,https://github.com/tensorflow/lucid,https://github.com/tensorflow/lucid,Apache-2.0,2018-01-25 17:41:44.000000,2021-01-26 21:54:54.000000,2021-01-26 21:54:53.000000,554,67.0,94.0,4048,636.0,A collection of infrastructure and tools for research in neural network interpretability.,35.0,24,True,2019-01-17 19:46:43.000000,0.3.9-alpha,16.0,lucid,,,,['tensorflow'],439.0,433.0,https://pypi.org/project/lucid,2018-12-20 00:26:11.000000,6.0,508.0,508.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n334,Lasagne,Lasagne/Lasagne,,ml-frameworks,https://github.com/Lasagne/Lasagne,https://github.com/Lasagne/Lasagne,MIT,2014-09-11 15:31:41.000000,2019-11-20 20:28:31.000000,2019-11-20 20:28:30.000000,983,139.0,402.0,3771,1161.0,Lightweight library to build and train neural networks in Theano.,72.0,24,False,2015-08-13 21:00:09.000000,0.1,1.0,lasagne,,,,,1035.0,782.0,https://pypi.org/project/lasagne,2015-08-13 21:10:53.000000,253.0,1167.0,1167.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n335,TensorFlowOnSpark,yahoo/TensorFlowOnSpark,,distributed-ml,https://github.com/yahoo/TensorFlowOnSpark,https://github.com/yahoo/TensorFlowOnSpark,Apache-2.0,2017-01-20 18:15:57.000000,2021-01-27 02:31:23.000000,2021-01-27 02:31:19.000000,928,7.0,336.0,3625,592.0,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,33.0,24,True,2020-12-18 21:57:51.000000,2.2.2,29.0,tensorflowonspark,,,,\"['tensorflow', 'spark']\",5.0,,https://pypi.org/project/tensorflowonspark,2020-12-18 18:32:09.000000,5.0,38765.0,38765.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n336,Great Expectations,great-expectations/great_expectations,,data-pipelines,https://github.com/great-expectations/great_expectations,https://github.com/great-expectations/great_expectations,Apache-2.0,2017-09-11 00:18:46.000000,2021-02-04 15:02:59.000000,2021-02-04 13:46:10.000000,431,152.0,597.0,3581,,Always know what to expect from your data.,153.0,24,True,2021-01-28 05:16:54.000000,0.13.8,99.0,great_expectations,,,,,6.0,,https://pypi.org/project/great_expectations,2021-01-28 04:38:56.000000,6.0,251606.0,251606.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n337,espnet,espnet/espnet,,audio,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000000,2021-02-04 14:05:09.000000,2021-02-04 02:24:30.000000,1062,134.0,1051.0,3395,10674.0,End-to-End Speech Processing Toolkit.,139.0,24,True,2021-01-15 08:52:23.000000,0.9.7,32.0,espnet,,,,,5.0,5.0,https://pypi.org/project/espnet,2021-01-15 08:52:23.000000,0.0,625.0,626.0,,,,,,,,3.0,59.0,,,,,,,,,,,,,,,,,,,,,\n338,torchdiffeq,rtqichen/torchdiffeq,,pytorch-utils,https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25.000000,2021-01-19 18:51:33.000000,2021-01-19 18:50:31.000000,574,15.0,109.0,3339,208.0,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,19.0,24,True,2021-01-19 18:51:18.000000,0.2.0,4.0,torchdiffeq,,,,['pytorch'],60.0,60.0,https://pypi.org/project/torchdiffeq,2021-01-19 18:51:18.000000,0.0,1919.0,1919.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n339,T5,google-research/text-to-text-transfer-transformer,,nlp,https://github.com/google-research/text-to-text-transfer-transformer,https://github.com/google-research/text-to-text-transfer-transformer,Apache-2.0,2019-10-17 21:45:14.000000,2021-02-04 13:55:54.000000,2021-02-04 13:55:44.000000,422,38.0,296.0,3171,417.0,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,29.0,24,True,2020-12-18 21:12:02.000000,0.8.1,25.0,t5,,,,['tensorflow'],23.0,23.0,https://pypi.org/project/t5,2020-12-18 21:12:02.000000,0.0,4929.0,4929.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n340,pytorch-summary,sksq96/pytorch-summary,,pytorch-utils,https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04.000000,2020-09-11 22:33:42.000000,2020-08-07 01:16:40.000000,343,100.0,36.0,2905,56.0,Model summary in PyTorch similar to `model.summary()` in Keras.,11.0,24,True,2018-09-26 05:07:28.000000,1.5.1,12.0,torchsummary,,,,['pytorch'],1978.0,1860.0,https://pypi.org/project/torchsummary,2018-09-26 05:07:28.000000,118.0,29192.0,29192.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n341,Stable Baselines,hill-a/stable-baselines,,reinforcement-learning,https://github.com/hill-a/stable-baselines,https://github.com/hill-a/stable-baselines,MIT,2018-07-02 14:28:59.000000,2021-01-27 15:25:31.000000,2020-12-23 16:27:08.000000,573,131.0,728.0,2860,835.0,\"A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.\",110.0,24,True,2020-08-05 19:45:11.000000,2.10.1,30.0,stable-baselines,,,,,50.0,,https://pypi.org/project/stable-baselines,2020-08-05 19:42:14.000000,50.0,5678.0,5678.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n342,xLearn,aksnzhy/xlearn,,ml-frameworks,https://github.com/aksnzhy/xlearn,https://github.com/aksnzhy/xlearn,Apache-2.0,2017-06-10 08:09:31.000000,2021-01-28 14:17:44.000000,2020-03-03 10:12:35.000000,487,179.0,107.0,2835,1340.0,\"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..\",30.0,24,True,2019-04-25 02:10:05.000000,0.4.4,15.0,xlearn,,,,,42.0,41.0,https://pypi.org/project/xlearn,2018-12-04 11:05:06.000000,1.0,4690.0,4755.0,,,,,,,,3.0,2295.0,,,,,,,,,,,,,,,,,,,,,\n343,Chartify,spotify/chartify,,data-viz,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05.000000,2021-01-16 19:45:00.000000,2020-11-02 22:11:04.000000,250,40.0,30.0,2821,186.0,Python library that makes it easy for data scientists to create charts.,19.0,24,True,2020-11-02 22:14:08.000000,3.0.3,16.0,chartify,conda-forge/chartify,,,,57.0,52.0,https://pypi.org/project/chartify,2020-11-02 22:14:08.000000,5.0,2189.0,2632.0,https://anaconda.org/conda-forge/chartify,2020-11-07 19:52:50.628000,11964.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n344,vaderSentiment,cjhutto/vaderSentiment,,nlp,https://github.com/cjhutto/vaderSentiment,https://github.com/cjhutto/vaderSentiment,MIT,2014-11-17 16:31:45.000000,2020-07-17 19:47:37.000000,2020-05-22 15:33:43.000000,723,25.0,74.0,2785,122.0,VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based..,10.0,24,True,2020-05-22 15:07:00.000000,3.3.2,15.0,vadersentiment,,,,,2542.0,2256.0,https://pypi.org/project/vadersentiment,2020-05-22 15:07:00.000000,286.0,59209.0,59209.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n345,DeepChem,deepchem/deepchem,,others,https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000000,2021-02-04 13:34:57.000000,2021-02-02 23:46:01.000000,911,339.0,849.0,2717,6133.0,\"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.\",147.0,24,True,2021-01-13 21:21:38.000000,2.4.0,205.0,deepchem,,,,['tensorflow'],40.0,36.0,https://pypi.org/project/deepchem,2021-02-02 23:48:30.000000,4.0,1050.0,1050.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n346,PML,KevinMusgrave/pytorch-metric-learning,,pytorch-utils,https://github.com/KevinMusgrave/pytorch-metric-learning,https://github.com/KevinMusgrave/pytorch-metric-learning,MIT,2019-10-23 17:20:35.000000,2021-02-04 09:28:54.000000,2021-02-04 09:28:36.000000,362,35.0,175.0,2707,603.0,\"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.\",12.0,24,True,2021-01-12 14:49:11.000000,0.9.96,143.0,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,,['pytorch'],50.0,50.0,https://pypi.org/project/pytorch-metric-learning,2021-02-04 05:59:56.000000,0.0,2417.0,2507.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2021-01-12 15:47:14.797000,1178.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n347,DoWhy,Microsoft/dowhy,,interpretability,https://github.com/microsoft/dowhy,https://github.com/microsoft/dowhy,MIT,2018-05-31 13:07:04.000000,2021-02-02 21:24:20.000000,2021-01-24 16:00:42.000000,380,20.0,81.0,2646,423.0,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,38.0,24,True,2020-12-12 15:26:03.000000,0.5.1,5.0,dowhy,conda-forge/dowhy,,,,26.0,26.0,https://pypi.org/project/dowhy,2020-12-12 15:26:03.000000,,4752.0,4862.0,https://anaconda.org/conda-forge/dowhy,2020-12-13 07:46:12.761000,982.0,,,,,2.0,21.0,,,,,,,,,,,,,,,,,,,,,\n348,einops,arogozhnikov/einops,,ml-frameworks,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08.000000,2021-01-09 20:03:22.000000,2021-01-09 20:03:21.000000,77,22.0,41.0,2341,293.0,\"Deep learning operations reinvented (for pytorch, tensorflow, jax and others).\",10.0,24,True,2020-09-08 08:33:29.000000,0.3,3.0,einops,conda-forge/einops,,,,237.0,227.0,https://pypi.org/project/einops,2020-09-08 08:21:26.000000,10.0,14914.0,15129.0,https://anaconda.org/conda-forge/einops,2020-10-15 20:10:19.681000,3661.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n349,Arctic,man-group/arctic,,data-containers,https://github.com/man-group/arctic,https://github.com/man-group/arctic,LGPL-2.1,2015-05-29 13:37:30.000000,2021-01-30 00:22:21.000000,2021-01-26 00:14:21.000000,439,88.0,421.0,2163,1067.0,Arctic is a high performance datastore for numeric data.,71.0,24,True,2020-12-01 23:17:26.000000,1.79.4,83.0,arctic,conda-forge/arctic,,,,147.0,105.0,https://pypi.org/project/arctic,2020-12-01 23:16:12.000000,42.0,1450.0,2047.0,https://anaconda.org/conda-forge/arctic,2019-12-16 08:57:24.231000,12522.0,,,,,3.0,92.0,,,,,,,,,,,,,,,,,,,,,\n350,ClearML,allegroai/clearml,,ml-experiments,https://github.com/allegroai/clearml,https://github.com/allegroai/clearml,Apache-2.0,2019-06-10 08:18:32.000000,2021-02-04 08:52:08.000000,2021-02-04 08:41:51.000000,325,56.0,205.0,2151,1038.0,\"ClearML - Auto-Magical Suite of tools to streamline your ML workflow. Experiment Manager, ML-Ops and Data-Management.\",25.0,24,True,2021-01-13 12:56:36.000000,0.17.4,39.0,clearml,,allegroai/trains,,,11.0,11.0,https://pypi.org/project/clearml,2021-02-04 08:50:43.000000,0.0,1743.0,3252.0,,,,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,29957.0,2.0,259.0,,,,,,,,,,,,,,,,,,,,,\n351,Hyperas,maxpumperla/hyperas,,hyperopt,https://github.com/maxpumperla/hyperas,https://github.com/maxpumperla/hyperas,MIT,2016-02-19 14:45:10.000000,2020-12-22 08:31:48.000000,2020-12-22 08:31:47.000000,296,88.0,158.0,2067,209.0,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,21.0,24,True,2019-02-28 09:16:54.000000,0.4.1,9.0,hyperas,,,,['tensorflow'],21.0,,https://pypi.org/project/hyperas,2019-02-28 09:16:54.000000,21.0,9579.0,9579.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n352,fastNLP,fastnlp/fastNLP,,nlp,https://github.com/fastnlp/fastNLP,https://github.com/fastnlp/fastNLP,Apache-2.0,2018-03-07 13:30:20.000000,2020-12-16 10:04:23.000000,2020-11-23 10:50:37.000000,351,16.0,127.0,1999,1706.0,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,48.0,24,True,2020-11-06 15:31:29.000000,0.6.0,10.0,fastnlp,,,,,24.0,23.0,https://pypi.org/project/fastnlp,2019-02-04 02:35:37.000000,1.0,341.0,342.0,,,,,,,,3.0,54.0,,,,,,,,,,,,,,,,,,,,,\n353,SRU,asappresearch/sru,,pytorch-utils,https://github.com/asappresearch/sru,https://github.com/asappresearch/sru,MIT,2017-08-28 20:37:41.000000,2021-01-30 15:46:36.000000,2020-12-17 19:36:53.000000,280,49.0,54.0,1873,378.0,Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755).,21.0,24,True,2020-12-17 19:40:55.000000,2.6.0-rc1,22.0,sru,,,,['pytorch'],16.0,15.0,https://pypi.org/project/sru,2021-01-22 20:02:59.000000,1.0,1946.0,1946.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n354,pytorch-nlp,PetrochukM/PyTorch-NLP,,nlp,https://github.com/PetrochukM/PyTorch-NLP,https://github.com/PetrochukM/PyTorch-NLP,BSD-3-Clause,2018-02-25 05:00:36.000000,2021-01-26 22:24:03.000000,2021-01-26 22:23:57.000000,223,14.0,49.0,1859,445.0,Basic Utilities for PyTorch Natural Language Processing (NLP).,17.0,24,True,2019-11-04 05:16:00.000000,0.5.0,19.0,pytorch-nlp,,,,['pytorch'],192.0,174.0,https://pypi.org/project/pytorch-nlp,2019-11-04 04:35:18.000000,18.0,2028.0,2028.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n355,python_speech_features,jameslyons/python_speech_features,,audio,https://github.com/jameslyons/python_speech_features,https://github.com/jameslyons/python_speech_features,MIT,2013-10-31 02:42:08.000000,2020-12-31 13:27:02.000000,2020-12-31 13:27:01.000000,538,23.0,49.0,1837,120.0,This library provides common speech features for ASR including MFCCs and filterbank energies.,18.0,24,True,2020-01-14 14:12:10.000000,0.6.1,6.0,python_speech_features,,,,,300.0,,https://pypi.org/project/python_speech_features,2017-08-16 01:46:13.000000,300.0,33491.0,33491.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n356,facenet-pytorch,timesler/facenet-pytorch,,image,https://github.com/timesler/facenet-pytorch,https://github.com/timesler/facenet-pytorch,MIT,2019-05-25 01:29:24.000000,2020-11-19 06:56:24.000000,2020-11-19 06:56:23.000000,384,28.0,84.0,1813,229.0,Pretrained Pytorch face detection (MTCNN) and recognition (InceptionResnet) models.,11.0,24,True,2020-11-19 06:49:36.000000,2.5.1,30.0,facenet-pytorch,,,,['pytorch'],269.0,266.0,https://pypi.org/project/facenet-pytorch,2020-11-19 06:49:36.000000,3.0,2813.0,6689.0,,,,,,,,3.0,58150.0,,,,,,,,,,,,,,,,,,,,,\n357,polyglot,aboSamoor/polyglot,,nlp,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,GPL-3.0,2014-06-30 02:07:45.000000,2020-10-27 10:55:53.000000,2020-09-22 22:35:28.000000,292,132.0,62.0,1758,271.0,Multilingual text (NLP) processing toolkit.,26.0,24,False,2016-07-03 20:05:42.000000,16.7.4,8.0,polyglot,,,,,504.0,439.0,https://pypi.org/project/polyglot,2016-07-03 20:05:42.000000,65.0,29795.0,29795.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n358,Alphalens,quantopian/alphalens,,financial-data,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15.000000,2020-09-05 16:48:14.000000,2020-04-27 18:40:41.000000,648,38.0,145.0,1748,522.0,Performance analysis of predictive (alpha) stock factors.,25.0,24,True,2020-04-30 15:42:52.000000,0.4.0,10.0,alphalens,conda-forge/alphalens,,,,365.0,351.0,https://pypi.org/project/alphalens,2020-04-27 21:03:10.000000,14.0,1386.0,1676.0,https://anaconda.org/conda-forge/alphalens,2020-05-16 13:52:44.922000,10460.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n359,category_encoders,scikit-learn-contrib/category_encoders,,sklearn-utils,https://github.com/scikit-learn-contrib/category_encoders,https://github.com/scikit-learn-contrib/category_encoders,BSD-3-Clause,2015-11-29 19:32:37.000000,2020-11-10 15:17:22.000000,2020-07-31 10:43:44.000000,292,64.0,135.0,1570,671.0,A library of sklearn compatible categorical variable encoders.,35.0,24,True,2020-04-29 02:09:51.000000,2.2.2,19.0,category_encoders,conda-forge/category_encoders,,,['sklearn'],23.0,,https://pypi.org/project/category_encoders,2018-10-14 14:15:54.000000,23.0,136716.0,138398.0,https://anaconda.org/conda-forge/category_encoders,2020-04-29 22:37:35.948000,92527.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n360,TorchServe,pytorch/serve,,model-serialisation,https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000000,2021-01-29 23:44:21.000000,2021-01-13 01:32:25.000000,232,130.0,402.0,1559,1049.0,Model Serving on PyTorch.,61.0,24,True,2020-12-18 01:38:41.000000,0.3.0,6.0,torchserve,pytorch/torchserve,pytorch/torchserve,,['pytorch'],27.0,27.0,https://pypi.org/project/torchserve,2020-12-17 19:04:04.000000,,3612.0,7451.0,https://anaconda.org/pytorch/torchserve,2020-12-17 18:30:12.593000,6377.0,https://hub.docker.com/r/pytorch/torchserve,2020-12-18 18:32:51.570336,3.0,50953.0,2.0,187.0,,,,,,,,,,,,,,,,,,,,,\n361,tslearn,tslearn-team/tslearn,,time-series-data,https://github.com/tslearn-team/tslearn,https://github.com/tslearn-team/tslearn,BSD-2-Clause,2017-05-04 13:08:13.000000,2021-01-26 12:41:22.000000,2021-01-25 15:18:03.000000,221,58.0,166.0,1464,,A machine learning toolkit dedicated to time-series data.,29.0,24,True,2021-01-25 15:19:11.000000,0.5.0.5,92.0,tslearn,conda-forge/tslearn,,,['sklearn'],208.0,186.0,https://pypi.org/project/tslearn,2021-01-25 15:28:45.000000,22.0,47212.0,52395.0,https://anaconda.org/conda-forge/tslearn,2021-01-25 17:55:55.394000,181410.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n362,Elephas,maxpumperla/elephas,,distributed-ml,https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19.000000,2021-02-03 12:43:48.000000,2021-02-03 05:39:59.000000,286,22.0,114.0,1442,444.0,Distributed Deep learning with Keras & Spark.,27.0,24,True,2021-01-31 22:19:34.000000,1.3.1,16.0,elephas,,,,\"['keras', 'spark']\",39.0,36.0,https://pypi.org/project/elephas,2021-01-31 22:18:24.000000,3.0,7167.0,7167.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n363,PyTextRank,DerwenAI/pytextrank,,nlp,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000000,2021-01-31 19:37:59.000000,2021-01-31 19:36:30.000000,291,17.0,37.0,1411,163.0,Python implementation of TextRank for phrase extraction and summarization of text documents.,13.0,24,True,2021-01-31 19:37:59.000000,2.1.0,11.0,pytextrank,,,,,130.0,124.0,https://pypi.org/project/pytextrank,2020-09-15 16:51:59.000000,6.0,6502.0,6502.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n364,haystack,deepset-ai/haystack,,nlp,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000000,2021-02-04 12:57:33.000000,2021-02-04 10:53:51.000000,245,65.0,388.0,1348,522.0,Transformers at scale for question answering & neural search. Using NLP via a modular Retriever-Reader-Pipeline...,32.0,24,True,2021-01-21 17:42:17.000000,0.7.0,34.0,haystack,,,,,105.0,31.0,https://pypi.org/project/haystack,2017-07-03 04:44:52.000000,74.0,617.0,617.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n365,TNT,pytorch/tnt,,ml-experiments,https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58.000000,2021-01-22 09:14:29.000000,2021-01-05 19:36:17.000000,188,30.0,34.0,1282,156.0,\"Simple tools for logging and visualizing, loading and training.\",35.0,24,True,2019-11-15 12:57:59.000000,0.0.5.1,3.0,torchnet,,,,['pytorch'],568.0,518.0,https://pypi.org/project/torchnet,2018-07-29 23:16:03.000000,50.0,4517.0,4517.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n366,IB-insync,erdewit/ib_insync,,financial-data,https://github.com/erdewit/ib_insync,https://github.com/erdewit/ib_insync,BSD-2-Clause,2017-07-12 12:09:24.000000,2021-02-04 09:44:23.000000,2021-02-04 09:44:17.000000,385,7.0,279.0,1233,548.0,Python sync/async framework for Interactive Brokers API.,25.0,24,True,2020-11-03 13:37:57.000000,0.9.64,89.0,ib_insync,conda-forge/ib-insync,,,,12.0,,https://pypi.org/project/ib_insync,2020-11-03 13:37:57.000000,12.0,1945.0,2330.0,https://anaconda.org/conda-forge/ib-insync,2020-11-07 23:30:42.910000,7316.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n367,Fairness 360,Trusted-AI/AIF360,,interpretability,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15.000000,2021-01-28 21:48:42.000000,2021-01-19 17:09:39.000000,386,35.0,46.0,1212,291.0,\"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..\",41.0,24,True,2020-06-02 22:59:53.000000,0.3.0,8.0,aif360,,,,,66.0,64.0,https://pypi.org/project/aif360,2020-06-02 22:49:24.000000,2.0,1811.0,1811.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n368,petastorm,uber/petastorm,,distributed-ml,https://github.com/uber/petastorm,https://github.com/uber/petastorm,Apache-2.0,2018-06-15 23:15:29.000000,2021-02-03 01:11:09.000000,2021-02-03 01:11:08.000000,178,121.0,113.0,1071,616.0,Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets..,38.0,24,True,2020-12-15 18:37:49.000000,0.9.8,64.0,petastorm,,,,,26.0,26.0,https://pypi.org/project/petastorm,2020-12-15 18:37:49.000000,,37224.0,37233.0,,,,,,,,2.0,288.0,,,,,,,,,,,,,,,,,,,,,\n369,livelossplot,stared/livelossplot,,ml-experiments,https://github.com/stared/livelossplot,https://github.com/stared/livelossplot,MIT,2018-03-10 17:51:43.000000,2021-02-03 16:31:31.000000,2021-02-03 16:24:09.000000,129,4.0,69.0,1026,318.0,\"Live training loss plot in Jupyter Notebook for Keras, PyTorch and others.\",16.0,24,True,2021-02-03 16:25:47.000000,0.5.4,24.0,livelossplot,,,,['jupyter'],446.0,436.0,https://pypi.org/project/livelossplot,2021-02-03 16:25:47.000000,10.0,9297.0,9297.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n370,TabPy,tableau/TabPy,,others,https://github.com/tableau/TabPy,https://github.com/tableau/TabPy,MIT,2016-09-27 21:26:03.000000,2021-02-02 02:35:29.000000,2021-02-02 02:35:28.000000,377,8.0,249.0,1023,827.0,Execute Python code on the fly and display results in Tableau visualizations:.,40.0,24,True,2020-11-11 19:06:41.000000,2.3.1,24.0,tabpy,,,,,45.0,45.0,https://pypi.org/project/tabpy,2020-11-11 19:06:41.000000,,1759.0,1759.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n371,PyStan,stan-dev/pystan,,probabilistics,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,ISC,2017-03-06 19:56:42.094000,2021-01-20 10:36:24.000000,2021-01-20 10:36:22.000000,196,6.0,85.0,912,,Temporary home for PyStan version 3. Documentation: https://pystan-next.readthedocs.io.,5.0,24,True,2013-09-28 22:06:09.000000,0.2.2,55.0,pystan,conda-forge/pystan,,,,342.0,,https://pypi.org/project/pystan,2021-01-16 16:17:38.000000,342.0,483858.0,502159.0,https://anaconda.org/conda-forge/pystan,2020-08-25 22:40:14.631000,860187.0,,,,,3.0,,,,,,,,,-3.0,,,,,,,,,,,,,\n372,Streamz,python-streamz/streamz,,time-series-data,https://github.com/python-streamz/streamz,https://github.com/python-streamz/streamz,BSD-3-Clause,2017-04-04 21:45:49.000000,2021-01-15 14:38:35.032000,2021-01-14 20:46:26.000000,112,89.0,127.0,900,733.0,Real-time stream processing for python.,38.0,24,True,2020-11-02 14:53:29.000000,0.6.1,14.0,streamz,conda-forge/streamz,,,,202.0,186.0,https://pypi.org/project/streamz,2020-11-02 14:53:29.000000,16.0,2117.0,4891.0,https://anaconda.org/conda-forge/streamz,2021-01-15 14:38:35.032000,113762.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n373,spacy-transformers,explosion/spacy-transformers,,nlp,https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000000,2021-02-02 16:46:24.000000,2021-02-02 09:44:19.000000,102,48.0,,890,1316.0,\"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.\",15.0,24,True,2021-02-02 10:57:09.000000,1.0.1,42.0,spacy-transformers,,,,['spacy'],84.0,78.0,https://pypi.org/project/spacy-transformers,2021-02-01 10:11:37.000000,6.0,13198.0,13198.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n374,kmodes,nicodv/kmodes,,others,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40.000000,2021-01-29 05:24:49.000000,2021-01-29 05:24:45.000000,339,19.0,108.0,807,452.0,\"Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data.\",16.0,24,True,2020-02-25 21:38:29.000000,0.10.2,12.0,kmodes,,,,,440.0,427.0,https://pypi.org/project/kmodes,2020-02-25 21:30:28.000000,13.0,39781.0,39781.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n375,ffn,pmorissette/ffn,,financial-data,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09.000000,2021-02-01 04:35:47.000000,2021-02-01 04:33:47.000000,186,19.0,63.0,772,316.0,ffn - a financial function library for Python.,23.0,24,True,2021-02-01 04:38:52.000000,0.3.5,26.0,ffn,,,,,139.0,97.0,https://pypi.org/project/ffn,2021-02-01 04:35:47.000000,42.0,5926.0,5926.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n376,ktrain,amaiya/ktrain,,ml-frameworks,https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39.000000,2021-02-03 01:37:44.000000,2021-01-29 15:46:22.000000,179,10.0,295.0,728,2156.0,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,12.0,24,True,2021-01-28 01:04:41.000000,0.25.4,147.0,ktrain,,,,['tensorflow'],117.0,116.0,https://pypi.org/project/ktrain,2021-01-28 01:03:31.000000,1.0,4097.0,4097.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n377,PennyLane,PennyLaneAI/PennyLane,,others,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000000,2021-02-04 15:03:35.000000,2021-02-02 14:54:27.000000,215,51.0,238.0,728,1789.0,PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum..,40.0,24,True,2021-02-02 08:13:45.000000,0.14.0,19.0,pennylane,,,,,20.0,,https://pypi.org/project/pennylane,2021-02-02 08:08:20.000000,20.0,1786.0,1788.0,,,,,,,,2.0,56.0,,,,,,,,,,,,,,,,,,,,,\n378,stockstats,jealous/stockstats,,financial-data,https://github.com/jealous/stockstats,https://github.com/jealous/stockstats,BSD-3-Clause,2016-06-05 15:21:22.000000,2020-12-10 07:08:11.000000,2020-10-17 10:59:35.000000,195,29.0,30.0,708,23.0,Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.,7.0,24,True,2020-10-17 11:10:43.000000,0.3.2,14.0,stockstats,,,,,192.0,168.0,https://pypi.org/project/stockstats,2020-10-17 11:10:43.000000,24.0,17820.0,17820.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n379,pythreejs,jupyter-widgets/pythreejs,,data-viz,https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,BSD-3-Clause,2013-12-23 17:02:11.000000,2021-01-19 14:26:57.000000,2020-10-09 09:41:09.000000,156,60.0,137.0,697,1594.0,A Jupyter - Three.js bridge.,24.0,24,True,2020-03-19 11:32:37.000000,2.2.1,42.0,pythreejs,conda-forge/pythreejs,,,['jupyter'],36.0,15.0,https://pypi.org/project/pythreejs,2020-10-09 09:40:47.000000,13.0,5060.0,15587.0,https://anaconda.org/conda-forge/pythreejs,2020-10-12 12:24:08.446000,263456.0,,,,,3.0,,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,2020-03-19 11:22:13.041000,8.0,5905.0,,,,,,,,,,,,,,,\n380,Singer,singer-io/getting-started,,data-loading,https://github.com/singer-io/getting-started,https://github.com/singer-io/getting-started,AGPL-3.0,2016-10-31 16:53:56.000000,2021-02-03 15:09:58.000000,2020-12-04 20:57:19.000000,96,20.0,16.0,689,173.0,\"Standard for moving data between databases, web APIs, files, queues, and just about anything else you can think of.\",26.0,24,False,2020-10-27 17:49:47.000000,5.10.0,101.0,singer-python,,,,,300.0,,https://pypi.org/project/singer-python,2021-02-03 15:09:58.000000,300.0,44661.0,44661.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n381,dask-ml,dask/dask-ml,,distributed-ml,https://github.com/dask/dask-ml,https://github.com/dask/dask-ml,BSD-3-Clause,2017-06-15 15:56:06.000000,2021-02-04 14:41:43.000000,2021-02-02 16:02:16.000000,186,186.0,207.0,684,,Scalable Machine Learning with Dask.,62.0,24,True,2021-01-30 16:49:37.000000,1.8.0,27.0,dask-ml,conda-forge/dask-ml,,,,379.0,337.0,https://pypi.org/project/dask-ml,2021-01-30 16:49:37.000000,42.0,15368.0,20141.0,https://anaconda.org/conda-forge/dask-ml,2021-01-30 20:07:36.819000,190955.0,,,,,2.0,,,,,,,,,-2.0,,,,,,,,,,,,,\n382,CLTK,cltk/cltk,,nlp,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000000,2021-01-09 23:56:41.000000,2021-01-09 23:56:40.000000,297,125.0,358.0,628,2771.0,The Classical Language Toolkit.,107.0,24,True,2020-06-22 06:03:33.000000,0.1.121,160.0,cltk,,,,,221.0,153.0,https://pypi.org/project/cltk,2021-01-01 18:03:05.000000,68.0,895.0,895.0,,,,,,,,3.0,22.0,,,,,,,,,,,,,,,,,,,,,\n383,pyjanitor,ericmjl/pyjanitor,,others,https://github.com/ericmjl/pyjanitor,https://github.com/ericmjl/pyjanitor,MIT,2018-03-04 22:43:33.000000,2021-02-03 23:48:36.000000,2021-02-03 23:29:00.000000,118,89.0,281.0,622,1162.0,Clean APIs for data cleaning. Python implementation of R package Janitor.,88.0,24,True,2020-10-03 12:24:35.000000,0.20.10,46.0,pyjanitor,conda-forge/pyjanitor,,,,82.0,80.0,https://pypi.org/project/pyjanitor,2020-10-03 12:24:35.000000,2.0,1183.0,3407.0,https://anaconda.org/conda-forge/pyjanitor,2020-10-04 12:30:53.707000,77856.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n384,tensorflow-upstream,ROCmSoftwarePlatform/tensorflow-upstream,,ml-frameworks,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,Apache-2.0,2018-04-09 21:24:50.000000,2021-02-04 14:09:58.000000,2021-02-02 21:21:26.000000,64,55.0,227.0,536,79524.0,TensorFlow ROCm port.,3535.0,24,True,2020-12-08 01:43:55.000000,2.4.0,58.0,tensorflow-rocm,,,,['tensorflow'],,,https://pypi.org/project/tensorflow-rocm,2020-12-22 02:51:55.000000,,712.0,712.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,,,,\n385,Intake,intake/intake,,data-loading,https://github.com/intake/intake,https://github.com/intake/intake,BSD-2-Clause,2017-08-14 20:44:22.000000,2021-02-02 21:46:29.000000,2021-01-28 14:40:02.000000,91,75.0,190.0,523,1628.0,\"Intake is a lightweight package for finding, investigating, loading and disseminating data.\",52.0,24,True,2020-06-03 19:03:40.000000,0.6.0,19.0,intake,conda-forge/intake,,,,294.0,220.0,https://pypi.org/project/intake,2020-06-03 19:03:40.000000,74.0,2287.0,4418.0,https://anaconda.org/conda-forge/intake,2020-06-03 19:49:52.133000,57559.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n386,SALib,SALib/SALib,,probabilistics,https://github.com/SALib/SALib,https://github.com/SALib/SALib,MIT,2013-05-30 13:38:10.000000,2021-01-30 05:06:27.000000,2021-01-20 02:04:21.000000,142,41.0,184.0,431,909.0,\"Sensitivity Analysis Library in Python (Numpy). Contains Sobol, Morris, Fractional Factorial and FAST methods.\",24.0,24,True,2020-11-12 17:13:12.000000,1.3.12,29.0,salib,conda-forge/salib,,,,44.0,,https://pypi.org/project/salib,2020-11-19 15:36:26.000000,44.0,9905.0,11025.0,https://anaconda.org/conda-forge/salib,2020-10-24 17:04:41.614000,57138.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n387,sklearn-crfsuite,TeamHG-Memex/sklearn-crfsuite,,sklearn-utils,https://github.com/TeamHG-Memex/sklearn-crfsuite,https://github.com/TeamHG-Memex/sklearn-crfsuite,MIT,2015-11-26 21:15:41.000000,2020-12-30 08:00:27.000000,2019-12-05 08:17:22.000000,153,34.0,21.0,358,46.0,scikit-learn inspired API for CRFsuite.,6.0,24,False,2017-06-22 18:49:27.000000,0.3.6,9.0,sklearn-crfsuite,,,,['sklearn'],2825.0,2429.0,https://pypi.org/project/sklearn-crfsuite,2017-06-22 18:49:27.000000,396.0,30330.0,30330.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n388,ml-metadata,google/ml-metadata,,ml-experiments,https://github.com/google/ml-metadata,https://github.com/google/ml-metadata,Apache-2.0,2019-01-15 21:02:09.000000,2021-02-01 22:07:31.000000,2021-02-01 19:58:56.000000,60,17.0,41.0,277,460.0,For recording and retrieving metadata associated with ML developer and data scientist workflows.,11.0,24,True,2021-01-26 20:42:49.000000,0.27.0,23.0,ml-metadata,,,,,72.0,72.0,https://pypi.org/project/ml-metadata,2021-01-26 22:36:41.000000,0.0,186946.0,186998.0,,,,,,,,2.0,1200.0,,,,,,,,,,,,,,,,,,,,,\n389,datalad,datalad/datalad,,others,https://github.com/datalad/datalad,https://github.com/datalad/datalad,MIT,2013-11-01 19:40:08.000000,2021-02-04 14:41:55.000000,2021-02-04 14:35:47.000000,68,711.0,2221.0,224,13367.0,\"Keep code, data, containers under control with git and git-annex.\",40.0,24,True,2021-02-02 17:40:16.000000,0.14.0,64.0,datalad,conda-forge/datalad,,,,26.0,,https://pypi.org/project/datalad,2021-02-02 17:35:56.000000,26.0,1822.0,4101.0,https://anaconda.org/conda-forge/datalad,2021-02-03 22:25:50.068000,79799.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n390,pysc2,deepmind/pysc2,,others,https://github.com/deepmind/pysc2,https://github.com/deepmind/pysc2,Apache-2.0,2017-07-25 18:16:57.000000,2020-07-29 16:22:31.000000,2019-09-27 15:23:22.000000,1065,49.0,203.0,7165,513.0,StarCraft II Learning Environment.,34.0,23,False,2019-09-27 15:48:01.000000,3.0.0,7.0,pysc2,,,,,244.0,224.0,https://pypi.org/project/pysc2,2019-09-27 15:48:01.000000,20.0,391.0,999.0,,,,,,,,3.0,25573.0,,,,,,,,,,,,,,,,,,,,,\n391,Ciphey,Ciphey/Ciphey,,nlp,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39.000000,2021-01-19 00:22:53.000000,2021-01-19 00:22:51.000000,347,46.0,173.0,6201,1728.0,\"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.\",38.0,23,True,2020-12-02 12:36:44.000000,5.11.0,43.0,ciphey,,remnux/ciphey,,,,,https://pypi.org/project/ciphey,2020-12-02 12:36:44.000000,,1996.0,2401.0,,,,https://hub.docker.com/r/remnux/ciphey,2020-12-17 02:51:41.340501,2.0,7696.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n392,EfficientNet-PyTorch,lukemelas/EfficientNet-PyTorch,,pytorch-utils,https://github.com/lukemelas/EfficientNet-PyTorch,https://github.com/lukemelas/EfficientNet-PyTorch,Apache-2.0,2019-05-30 05:24:11.000000,2020-12-28 15:43:30.000000,2020-10-09 16:24:04.000000,1078,112.0,117.0,5419,141.0,A PyTorch implementation of EfficientNet.,21.0,23,True,2020-08-26 03:00:05.000000,0.7.0,12.0,efficientnet-pytorch,,,,['pytorch'],14.0,,https://pypi.org/project/efficientnet-pytorch,2020-08-26 03:00:05.000000,14.0,24111.0,52830.0,,,,,,,,2.0,315916.0,,,,,,,,,,,,,,,,,,,,,\n393,snownlp,isnowfy/snownlp,,chinese-nlp,https://github.com/isnowfy/snownlp,https://github.com/isnowfy/snownlp,MIT,2013-11-26 11:46:56.000000,2020-01-19 02:39:05.000000,2020-01-19 02:39:03.000000,1240,33.0,65.0,5277,57.0,Python library for processing Chinese text.,8.0,23,False,2015-09-27 16:35:23.000000,0.12.3,17.0,snownlp,,,,,550.0,512.0,https://pypi.org/project/snownlp,2015-09-27 16:35:23.000000,38.0,1848.0,1848.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n394,Apex,NVIDIA/apex,,gpu-utilities,https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000000,2021-02-02 08:45:03.000000,2021-01-20 10:06:44.000000,685,445.0,361.0,5020,829.0,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,77.0,23,True,,,1.0,,conda-forge/nvidia-apex,,,['pytorch'],442.0,442.0,,,,,1897.0,https://anaconda.org/conda-forge/nvidia-apex,2020-11-23 18:41:00.769000,30362.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n395,Face Alignment,1adrianb/face-alignment,,image,https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44.000000,2021-01-30 20:13:18.000000,2020-12-30 17:11:06.000000,1012,31.0,192.0,4663,196.0,2D and 3D Face alignment library build using pytorch.,21.0,23,True,2020-12-22 21:34:55.000000,1.3.3,9.0,face-alignment,,,,['pytorch'],6.0,,https://pypi.org/project/face-alignment,2020-12-22 21:34:55.000000,6.0,3180.0,3180.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n396,flashtext,vi3k6i5/flashtext,,nlp,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01.000000,2020-06-05 00:37:46.000000,2020-05-03 07:13:22.000000,521,48.0,49.0,4640,108.0,Extract Keywords from sentence or Replace keywords in sentences.,8.0,23,True,,,18.0,flashtext,,,,,379.0,347.0,https://pypi.org/project/flashtext,2018-02-16 05:24:17.000000,32.0,153171.0,153171.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n397,DeepSpeed,microsoft/DeepSpeed,,distributed-ml,https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,MIT,2020-01-23 18:35:18.000000,2021-02-04 08:18:59.000000,2021-02-02 18:35:40.000000,390,136.0,164.0,4240,415.0,\"DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.\",42.0,23,True,2021-01-12 18:17:34.000000,0.3.10,19.0,deepspeed,,deepspeed/deepspeed,,['pytorch'],9.0,9.0,https://pypi.org/project/deepspeed,2021-02-02 18:36:29.000000,,1804.0,2343.0,,,,https://hub.docker.com/r/deepspeed/deepspeed,2020-11-20 00:17:12.819964,2.0,7015.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n398,Snips NLU,snipsco/snips-nlu,,nlp,https://github.com/snipsco/snips-nlu,https://github.com/snipsco/snips-nlu,Apache-2.0,2017-02-08 16:16:36.000000,2020-12-24 12:59:47.000000,2020-02-08 21:49:32.000000,460,50.0,196.0,3448,2153.0,Snips Python library to extract meaning from text.,21.0,23,True,2020-01-15 10:13:17.000000,0.20.2,58.0,snips-nlu,,,,,8.0,,https://pypi.org/project/snips-nlu,2020-01-15 10:13:17.000000,8.0,1210.0,1210.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n399,VisualDL,PaddlePaddle/VisualDL,,ml-experiments,https://github.com/PaddlePaddle/VisualDL,https://github.com/PaddlePaddle/VisualDL,Apache-2.0,2017-12-20 12:34:31.000000,2021-02-04 06:55:24.000000,2021-02-04 06:55:23.000000,478,24.0,314.0,3443,,Deep Learning Visualization Toolkit.,28.0,23,True,2021-02-01 09:03:52.000000,2.1.1,31.0,visualdl,,,,['paddle'],158.0,148.0,https://pypi.org/project/visualdl,2021-01-29 09:44:14.000000,10.0,3022.0,3030.0,,,,,,,,3.0,71.0,,,,,,,,,,,,,,,,,,,,,\n400,PyAlgoTrade,gbeced/pyalgotrade,,financial-data,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54.000000,2020-12-24 18:41:56.000000,2018-08-21 02:42:52.000000,1139,38.0,81.0,3150,1156.0,Python Algorithmic Trading Library.,11.0,23,False,,,8.0,pyalgotrade,,,,,89.0,68.0,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25.000000,21.0,396.0,396.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n401,TensorWatch,microsoft/tensorwatch,,ml-experiments,https://github.com/microsoft/tensorwatch,https://github.com/microsoft/tensorwatch,MIT,2019-05-15 08:29:34.000000,2021-01-18 03:05:57.000000,2021-01-15 19:46:05.000000,312,49.0,15.0,3020,112.0,\"Debugging, monitoring and visualization for Python Machine Learning and Data Science.\",13.0,23,True,2020-03-04 07:26:22.000000,0.9.1,14.0,tensorwatch,,,,,51.0,45.0,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22.000000,6.0,13625.0,13625.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n402,Camelot,atlanhq/camelot,,data-loading,https://github.com/atlanhq/camelot,https://github.com/atlanhq/camelot,MIT,2016-06-18 11:48:49.000000,2020-07-27 12:28:15.000000,2019-10-15 05:25:40.000000,307,68.0,273.0,2977,446.0,Camelot: PDF Table Extraction for Humans.,23.0,23,False,2020-07-27 12:28:15.000000,0.8.2,21.0,camelot-py,,,,,10.0,,https://pypi.org/project/camelot-py,2020-07-27 12:28:15.000000,10.0,16615.0,16615.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n403,segmentation_models,qubvel/segmentation_models,,image,https://github.com/qubvel/segmentation_models,https://github.com/qubvel/segmentation_models,MIT,2018-06-05 13:27:56.000000,2020-12-13 13:48:40.000000,2020-04-17 09:51:20.000000,674,146.0,236.0,2922,204.0,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,14.0,23,True,2020-01-10 11:36:02.000000,1.0.1,8.0,segmentation_models,,,,['tensorflow'],12.0,,https://pypi.org/project/segmentation_models,2020-01-10 11:36:02.000000,12.0,12095.0,12095.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n404,SHOGUN,shogun-toolbox/shogun,,ml-frameworks,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32.000000,2021-01-27 17:11:33.000000,2020-12-08 16:56:38.000000,1015,544.0,1069.0,2792,16205.0,Unified and efficient Machine Learning.,248.0,23,True,2019-07-05 10:23:31.000000,shogun_6.1.4,10.0,,conda-forge/shogun,shogun/shogun,,,,,,,,,2113.0,https://anaconda.org/conda-forge/shogun,2018-06-25 20:49:17.070000,90382.0,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1442.0,3.0,,,,,,,,,,shogun,,,,,,,,,,,,\n405,keras-vis,raghakot/keras-vis,,interpretability,https://github.com/raghakot/keras-vis,https://github.com/raghakot/keras-vis,MIT,2016-11-11 23:27:34.000000,2020-04-20 01:03:13.000000,2020-04-20 01:03:12.000000,583,113.0,99.0,2779,195.0,Neural network visualization toolkit for keras.,10.0,23,True,2017-07-06 04:55:04.000000,0.4.1,11.0,keras-vis,,,,['tensorflow'],719.0,691.0,https://pypi.org/project/keras-vis,2017-07-06 04:55:04.000000,28.0,1164.0,1164.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n406,Sumy,miso-belica/sumy,,nlp,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48.000000,2020-11-21 17:08:35.000000,2020-11-21 17:08:33.000000,437,10.0,78.0,2491,397.0,Module for automatic summarization of text documents and HTML pages.,20.0,23,True,2019-05-19 14:39:21.000000,0.8.1,13.0,sumy,,,,,839.0,647.0,https://pypi.org/project/sumy,2019-05-19 14:38:29.000000,192.0,5087.0,5087.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n407,MMLSpark,Azure/mmlspark,,distributed-ml,https://github.com/Azure/mmlspark,https://github.com/Azure/mmlspark,MIT,2017-06-05 08:23:44.000000,2021-02-03 21:02:36.000000,2021-02-03 21:02:34.000000,492,196.0,212.0,2242,775.0,Microsoft Machine Learning for Apache Spark.,62.0,23,True,2020-10-02 19:36:01.000000,1.0.0-rc3,17.0,mmlspark,,,,['spark'],,,https://pypi.org/project/mmlspark,2020-03-18 01:27:31.000000,,34593.0,34593.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n408,neuralcoref,huggingface/neuralcoref,,nlp,https://github.com/huggingface/neuralcoref,https://github.com/huggingface/neuralcoref,MIT,2017-07-03 13:04:16.000000,2020-12-29 21:22:55.000000,2020-12-29 21:22:53.000000,380,42.0,215.0,2185,113.0,Fast Coreference Resolution in spaCy with Neural Networks.,20.0,23,True,2019-04-08 11:28:27.000000,4.0.0,5.0,neuralcoref,conda-forge/neuralcoref,,,,303.0,285.0,https://pypi.org/project/neuralcoref,2019-04-08 08:53:12.000000,18.0,2172.0,2662.0,https://anaconda.org/conda-forge/neuralcoref,2020-02-21 22:10:40.453000,5832.0,,,,,3.0,172.0,,,,,,,,,,,,,,,,,,,,,\n409,scikit-plot,reiinakano/scikit-plot,,interpretability,https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59.000000,2020-07-22 16:19:25.000000,2018-08-19 12:37:47.000000,245,21.0,38.0,2026,130.0,An intuitive library to add plotting functionality to scikit-learn objects.,13.0,23,False,2018-08-19 12:21:01.000000,0.3.7,27.0,scikit-plot,conda-forge/scikit-plot,,,['sklearn'],761.0,734.0,https://pypi.org/project/scikit-plot,2018-08-19 12:18:46.000000,27.0,33607.0,35467.0,https://anaconda.org/conda-forge/scikit-plot,2019-06-05 14:23:59.043000,80008.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n410,ART,Trusted-AI/adversarial-robustness-toolbox,,adversarial,https://github.com/Trusted-AI/adversarial-robustness-toolbox,https://github.com/Trusted-AI/adversarial-robustness-toolbox,MIT,2018-03-15 14:40:43.000000,2021-02-03 21:54:13.000000,2021-01-11 13:39:25.000000,563,77.0,329.0,1986,,\"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..\",59.0,23,True,2021-01-09 02:13:17.000000,1.5.1,27.0,adversarial-robustness-toolbox,,,,,99.0,99.0,https://pypi.org/project/adversarial-robustness-toolbox,2021-01-09 02:13:17.000000,0.0,1463.0,1463.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n411,Enigma Catalyst,enigmampc/catalyst,,financial-data,https://github.com/enigmampc/catalyst,https://github.com/enigmampc/catalyst,Apache-2.0,2017-06-13 22:31:34.000000,2021-01-05 19:10:30.000000,2020-12-28 10:58:58.000000,589,134.0,363.0,1973,6362.0,An Algorithmic Trading Library for Crypto-Assets in Python.,144.0,23,True,2018-09-13 15:09:58.000000,0.5.21,52.0,enigma-catalyst,,,,,21.0,21.0,https://pypi.org/project/enigma-catalyst,2018-11-11 16:46:28.000000,,403.0,403.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n412,Acme,deepmind/acme,,reinforcement-learning,https://github.com/deepmind/acme,https://github.com/deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000000,2021-02-02 19:55:52.000000,2021-02-02 19:55:14.000000,183,37.0,44.0,1903,338.0,A library of reinforcement learning components and agents.,32.0,23,True,2020-10-23 15:59:12.000000,0.2.0,8.0,dm-acme,,,,['tensorflow'],19.0,19.0,https://pypi.org/project/dm-acme,2020-07-24 13:03:30.000000,,406.0,406.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n413,GluonTS,awslabs/gluon-ts,,time-series-data,https://github.com/awslabs/gluon-ts,https://github.com/awslabs/gluon-ts,Apache-2.0,2019-05-15 17:17:29.000000,2021-02-04 14:38:51.000000,2021-02-03 16:35:10.000000,360,180.0,354.0,1707,656.0,Probabilistic time series modeling in Python.,67.0,23,True,2021-02-01 20:38:03.000000,0.6.5,27.0,gluonts,,,,['mxnet'],0.0,,https://pypi.org/project/gluonts,2020-12-08 15:07:54.000000,0.0,13629.0,13629.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n414,Spektral,danielegrattarola/spektral,,graph,https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10.000000,2021-01-26 17:42:02.000000,2021-01-26 17:41:38.000000,193,22.0,98.0,1612,453.0,Graph Neural Networks with Keras and Tensorflow 2.,16.0,23,True,2021-01-07 18:03:04.000000,1.0.4,27.0,spektral,,,,\"['tensorflow\"\"']\",28.0,28.0,https://pypi.org/project/spektral,2021-01-07 18:03:04.000000,0.0,1458.0,1458.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n415,Multicore-TSNE,DmitryUlyanov/Multicore-TSNE,,data-viz,https://github.com/DmitryUlyanov/Multicore-TSNE,https://github.com/DmitryUlyanov/Multicore-TSNE,BSD-3-Clause,2016-10-19 05:46:52.000000,2020-12-20 08:15:51.000000,2020-08-19 14:58:00.000000,191,33.0,20.0,1531,113.0,Parallel t-SNE implementation with Python and Torch wrappers.,15.0,23,True,2017-11-08 13:32:20.000000,0.0.1,2.0,MulticoreTSNE,conda-forge/multicore-tsne,,,['pytorch'],222.0,208.0,https://pypi.org/project/MulticoreTSNE,2017-11-08 16:03:07.000000,14.0,1957.0,2179.0,https://anaconda.org/conda-forge/multicore-tsne,2018-11-12 17:08:01.525000,5996.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n416,sklearn-contrib-lightning,scikit-learn-contrib/lightning,,sklearn-utils,https://github.com/scikit-learn-contrib/lightning,https://github.com/scikit-learn-contrib/lightning,BSD-3-Clause,2012-01-11 13:53:52.000000,2021-01-05 05:54:02.000000,2021-01-04 18:02:23.000000,188,49.0,36.0,1428,700.0,\"Large-scale linear classification, regression and ranking in Python.\",16.0,23,True,2017-11-04 18:03:11.000000,0.5.0,7.0,sklearn-contrib-lightning,conda-forge/sklearn-contrib-lightning,,,['sklearn'],78.0,73.0,https://pypi.org/project/sklearn-contrib-lightning,2020-12-16 17:25:20.000000,5.0,321.0,2638.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2020-12-20 22:58:20.890000,127440.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n417,bonobo,python-bonobo/bonobo,,data-pipelines,https://github.com/python-bonobo/bonobo,https://github.com/python-bonobo/bonobo,Apache-2.0,2016-12-09 04:03:23.000000,2021-02-02 21:44:59.000000,2021-01-01 05:32:01.000000,110,63.0,107.0,1381,978.0,Extract Transform Load for Python 3.5+.,36.0,23,True,2019-05-16 13:19:48.000000,0.6.4,38.0,bonobo,,,http://docs.bonobo-project.org/en/master/,,130.0,106.0,https://pypi.org/project/bonobo,2019-07-20 13:33:19.000000,24.0,2038.0,2038.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n418,TextAttack,QData/TextAttack,,adversarial,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000000,2021-01-22 15:26:43.000000,2021-01-15 17:37:07.000000,132,26.0,91.0,1225,1908.0,\"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP.\",31.0,23,True,2020-12-27 05:23:02.000000,0.2.15,35.0,textattack,,,,,16.0,16.0,https://pypi.org/project/textattack,2020-12-27 05:23:02.000000,0.0,550.0,550.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n419,sense2vec,explosion/sense2vec,,nlp,https://github.com/explosion/sense2vec,https://github.com/explosion/sense2vec,MIT,2016-01-23 22:15:49.000000,2020-12-10 16:03:25.000000,2020-05-29 21:31:20.000000,196,16.0,78.0,1150,437.0,Contextually-keyed word vectors.,14.0,23,True,2019-11-22 17:40:43.000000,1.0.2,17.0,sense2vec,conda-forge/sense2vec,,,,55.0,49.0,https://pypi.org/project/sense2vec,2019-11-22 15:49:11.000000,6.0,1904.0,3126.0,https://anaconda.org/conda-forge/sense2vec,2020-03-16 22:19:07.337000,14524.0,,,,,3.0,12520.0,,,,,,,,,,,,,,,,,,,,,\n420,Optimus,ironmussa/Optimus,,data-pipelines,https://github.com/ironmussa/Optimus,https://github.com/ironmussa/Optimus,Apache-2.0,2017-07-13 02:31:18.000000,2021-02-03 23:33:51.000000,2021-02-03 23:33:32.000000,189,139.0,165.0,974,3520.0,\"Agile Data Preparation Workflows madeeasy with dask, cudf, dask_cudf and pyspark.\",21.0,23,True,2020-07-19 03:05:40.000000,2.2.32,85.0,optimuspyspark,,,,['spark'],13.0,13.0,https://pypi.org/project/optimuspyspark,2019-05-30 02:22:54.000000,,3299.0,3299.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n421,fancyimpute,iskandr/fancyimpute,,sklearn-utils,https://github.com/iskandr/fancyimpute,https://github.com/iskandr/fancyimpute,Apache-2.0,2015-11-05 23:39:34.000000,2021-01-25 00:27:52.000000,2021-01-25 00:27:51.000000,142,4.0,103.0,924,198.0,Multivariate imputation and matrix completion algorithms implemented in Python.,11.0,23,True,2020-07-16 21:36:59.000000,0.5.5,26.0,fancyimpute,,,,['sklearn'],700.0,679.0,https://pypi.org/project/fancyimpute,2020-07-16 21:36:59.000000,21.0,8943.0,8943.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n422,ChainerRL,chainer/chainerrl,,reinforcement-learning,https://github.com/chainer/chainerrl,https://github.com/chainer/chainerrl,MIT,2017-01-30 04:58:15.000000,2020-12-09 06:26:53.000000,2020-12-09 06:26:52.000000,204,75.0,146.0,923,3458.0,ChainerRL is a deep reinforcement learning library built on top of Chainer.,29.0,23,True,2020-02-14 05:35:56.000000,0.8.0,10.0,chainerrl,,,,,103.0,89.0,https://pypi.org/project/chainerrl,2020-02-14 05:35:56.000000,14.0,388.0,388.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n423,luminol,linkedin/luminol,,time-series-data,https://github.com/linkedin/luminol,https://github.com/linkedin/luminol,Apache-2.0,2015-11-18 23:16:33.000000,2020-12-27 09:54:35.000000,2018-01-09 07:46:55.000000,178,24.0,12.0,870,69.0,Anomaly Detection and Correlation library.,8.0,23,False,2016-01-20 01:01:44.000000,0.3.1,5.0,luminol,,,,,49.0,37.0,https://pypi.org/project/luminol,2017-12-11 06:04:15.000000,12.0,128533.0,128533.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n424,Hub,activeloopai/Hub,,data-pipelines,https://github.com/activeloopai/Hub,https://github.com/activeloopai/Hub,MPL-2.0,2019-08-09 06:17:59.000000,2021-02-04 14:01:01.000000,2021-02-04 09:54:12.000000,131,81.0,112.0,858,1544.0,Fastest unstructured dataset management for TensorFlow/PyTorch. Stream data real-time & version-control it...,54.0,23,True,2021-01-24 06:48:33.000000,1.2.0,79.0,hub,,,,\"['tensorflow', 'pytorch']\",168.0,116.0,https://pypi.org/project/hub,2021-01-24 06:48:33.000000,52.0,775.0,775.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n425,SciSpacy,allenai/scispacy,,nlp,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52.000000,2021-02-03 18:43:51.000000,2021-01-12 00:58:40.000000,121,17.0,129.0,795,796.0,A full spaCy pipeline and models for scientific/biomedical documents.,15.0,23,True,2020-10-16 17:13:40.000000,0.3.0,9.0,scispacy,,,,,216.0,204.0,https://pypi.org/project/scispacy,2020-10-16 17:13:40.000000,12.0,7046.0,7046.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n426,openTSNE,pavlin-policar/openTSNE,,data-viz,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000000,2021-01-08 15:19:01.004000,2021-01-08 11:25:11.000000,82,5.0,68.0,749,509.0,\"Extensible, parallel implementations of t-SNE.\",10.0,23,True,2021-01-08 12:20:43.000000,0.5.1,19.0,opentsne,conda-forge/opentsne,,,,180.0,176.0,https://pypi.org/project/opentsne,2021-01-08 12:20:43.000000,4.0,8441.0,11315.0,https://anaconda.org/conda-forge/opentsne,2021-01-08 15:19:01.004000,74724.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n427,PySwarms,ljvmiranda921/pyswarms,,others,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45.000000,2021-01-03 21:34:15.000000,2021-01-03 04:18:07.000000,230,16.0,153.0,720,405.0,A research toolkit for particle swarm optimization in Python.,42.0,23,True,2020-11-14 05:18:38.000000,.1.2.0,20.0,pyswarms,,,,,91.0,91.0,https://pypi.org/project/pyswarms,2021-01-03 21:34:15.000000,0.0,2000.0,2000.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n428,GPyOpt,SheffieldML/GPyOpt,,hyperopt,https://github.com/SheffieldML/GPyOpt,https://github.com/SheffieldML/GPyOpt,BSD-3-Clause,2014-08-13 09:58:25.000000,2020-11-17 10:32:02.000000,2020-11-05 15:16:04.000000,216,100.0,186.0,710,514.0,Gaussian Process Optimization using GPy.,49.0,23,True,2020-03-19 21:21:18.000000,1.2.6,11.0,gpyopt,,,,,207.0,171.0,https://pypi.org/project/gpyopt,2020-03-19 11:37:45.000000,36.0,3960.0,3960.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n429,Hail,hail-is/hail,,medical-data,https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000000,2021-02-04 14:51:33.000000,2021-02-04 01:38:18.000000,181,323.0,1935.0,696,7617.0,Scalable genomic data analysis.,69.0,23,True,2020-12-03 19:29:37.000000,0.2.61,81.0,hail,,,,['spark'],30.0,30.0,https://pypi.org/project/hail,2020-12-03 19:29:37.000000,,870.0,870.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n430,arch,bashtage/arch,,financial-data,https://github.com/bashtage/arch,https://github.com/bashtage/arch,NCSA,2014-08-29 15:41:28.000000,2021-02-04 00:07:06.000000,2021-01-27 10:44:27.000000,158,18.0,124.0,642,751.0,ARCH models in Python.,26.0,23,False,2020-06-24 19:19:12.000000,4.15,26.0,arch,,,,,285.0,243.0,https://pypi.org/project/arch,2020-06-24 19:20:21.000000,42.0,24393.0,24393.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n431,PDPbox,SauceCat/PDPbox,,data-viz,https://github.com/SauceCat/PDPbox,https://github.com/SauceCat/PDPbox,MIT,2017-06-26 08:01:54.000000,2021-01-13 08:25:09.000000,2018-12-08 10:06:13.000000,83,37.0,17.0,525,223.0,python partial dependence plot toolbox.,7.0,23,False,2018-07-23 13:33:35.000000,0.2.0,2.0,pdpbox,conda-forge/pdpbox,,,,336.0,302.0,https://pypi.org/project/pdpbox,2018-07-23 13:33:35.000000,34.0,29345.0,29646.0,https://anaconda.org/conda-forge/pdpbox,2019-07-17 16:58:38.379000,5737.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n432,combo,yzhao062/combo,,sklearn-utils,https://github.com/yzhao062/combo,https://github.com/yzhao062/combo,BSD-2-Clause,2019-07-14 01:13:36.000000,2020-12-23 14:27:11.000000,2020-12-23 14:27:05.000000,81,7.0,3.0,474,201.0,(AAAI' 20) A Python Toolbox for Machine Learning Model Combination.,1.0,23,True,2020-12-23 02:21:49.000000,0.1.2,12.0,combo,,,,\"['sklearn', 'xgboost']\",264.0,264.0,https://pypi.org/project/combo,2020-12-23 02:21:49.000000,0.0,55930.0,55930.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n433,findspark,minrk/findspark,,others,https://github.com/minrk/findspark,https://github.com/minrk/findspark,BSD-3-Clause,2015-06-12 21:34:06.000000,2020-06-08 09:32:35.000000,2020-06-08 09:31:58.000000,64,11.0,8.0,386,67.0,Find pyspark to make it importable.,14.0,23,True,2020-06-08 09:32:23.000000,1.4.2,12.0,findspark,conda-forge/findspark,,,['spark'],1697.0,1495.0,https://pypi.org/project/findspark,2020-06-08 09:32:23.000000,202.0,411714.0,420443.0,https://anaconda.org/conda-forge/findspark,2018-07-06 12:57:33.438000,488843.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n434,PyNNDescent,lmcinnes/pynndescent,,nn-search,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000000,2021-01-29 19:50:01.000000,2021-01-29 19:49:52.000000,44,27.0,30.0,369,465.0,A Python nearest neighbor descent for approximate nearest neighbors.,10.0,23,True,2020-11-19 20:20:48.000000,0.5.1,20.0,pynndescent,conda-forge/pynndescent,,,,182.0,179.0,https://pypi.org/project/pynndescent,2020-11-19 20:20:48.000000,3.0,46303.0,47881.0,https://anaconda.org/conda-forge/pynndescent,2020-11-19 22:20:12.326000,31572.0,,,,,3.0,,,,,,,,,2.0,,,,,,,,,,,,,\n435,messytables,okfn/messytables,,data-loading,https://github.com/okfn/messytables,https://github.com/okfn/messytables,MIT,2011-07-27 18:08:21.000000,2021-01-07 22:24:38.000000,2019-11-13 07:35:33.000000,96,30.0,55.0,360,601.0,Tools for parsing messy tabular data. This is now superseded by https://github.com/frictionlessdata/tabulator-py.,44.0,23,False,2017-02-09 12:37:47.000000,0.15.2,26.0,messytables,,,,,390.0,172.0,https://pypi.org/project/messytables,2017-02-09 12:37:47.000000,218.0,4534.0,4534.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n436,GeoViews,holoviz/geoviews,,geospatial-data,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000000,2020-11-13 20:59:34.000000,2020-09-21 16:31:16.000000,60,78.0,169.0,330,635.0,\"Simple, concise geographical visualization in Python.\",21.0,23,True,2020-09-23 18:59:07.000000,1.8.0,21.0,geoviews,conda-forge/geoviews,,,,208.0,198.0,https://pypi.org/project/geoviews,2020-03-30 19:17:21.000000,10.0,1195.0,2785.0,https://anaconda.org/conda-forge/geoviews,2020-09-23 20:06:48.808000,55674.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n437,pySBD,nipunsadvilkar/pySBD,,nlp,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20.000000,2020-12-01 05:37:27.000000,2020-12-01 05:37:25.000000,26,4.0,43.0,268,274.0,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,6.0,23,True,2020-10-08 11:41:09.000000,0.3.3,14.0,pysbd,,,,,105.0,103.0,https://pypi.org/project/pysbd,2020-10-08 11:33:56.000000,2.0,8683.0,8683.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n438,pysparkling,svenkreiss/pysparkling,,data-pipelines,https://github.com/svenkreiss/pysparkling,https://github.com/svenkreiss/pysparkling,MIT,2015-05-09 19:23:20.000000,2021-02-04 12:53:32.000000,2021-02-03 15:51:23.000000,43,3.0,21.0,232,1521.0,A pure Python implementation of Apache Spark's RDD and DStream interfaces.,10.0,23,True,2021-01-10 21:15:26.000000,0.6.1,68.0,pysparkling,,,,,70.0,56.0,https://pypi.org/project/pysparkling,2021-01-10 21:15:26.000000,14.0,4647.0,4647.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n439,TensorFlow Cloud,tensorflow/cloud,,tensorflow-utils,https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59.000000,2021-02-04 05:24:03.000000,2021-02-04 04:58:06.000000,46,48.0,25.0,223,507.0,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,16.0,23,True,2021-02-03 22:25:59.000000,0.1.12,15.0,tensorflow-cloud,,,,['tensorflow'],22.0,22.0,https://pypi.org/project/tensorflow-cloud,2021-02-03 22:25:59.000000,0.0,68690.0,68690.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n440,Vaex,vaexio/vaex,,data-containers,https://github.com/vaexio/vaex,https://github.com/vaexio/vaex,MIT,2014-09-27 09:44:42.000000,2021-02-02 14:30:41.000000,2021-02-02 14:17:22.000000,441,286.0,391.0,5715,2959.0,\"Out-of-Core DataFrames for Python, ML, visualize and explore big tabular data at a billion rows per second.\",38.0,22,True,2020-05-25 21:35:34.000000,3.0.0,48.0,vaex,conda-forge/vaex,,,,2.0,,https://pypi.org/project/vaex,2021-01-27 18:51:38.000000,2.0,2917.0,4739.0,https://anaconda.org/conda-forge/vaex,2020-06-01 18:35:17.510000,94661.0,,,,,3.0,199.0,,,,,,,,,,,,,,,,,,,,,\n441,mmdnn,Microsoft/MMdnn,,model-serialisation,https://github.com/microsoft/MMdnn,https://github.com/microsoft/MMdnn,MIT,2017-08-16 08:03:52.000000,2020-10-22 09:57:53.000000,2020-08-14 02:32:30.000000,921,304.0,286.0,5203,1083.0,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,85.0,22,True,2020-07-24 06:34:39.000000,0.3.1,12.0,mmdnn,,,,,52.0,49.0,https://pypi.org/project/mmdnn,2020-07-24 06:34:39.000000,3.0,408.0,492.0,,,,,,,,2.0,3292.0,,,,,,,,,,,,,,,,,,,,,\n442,PaddleHub,PaddlePaddle/PaddleHub,,others,https://github.com/PaddlePaddle/PaddleHub,https://github.com/PaddlePaddle/PaddleHub,Apache-2.0,2018-12-21 06:00:48.000000,2021-02-04 14:02:17.000000,2021-02-04 06:54:52.000000,1013,283.0,385.0,4525,,\"Awesome pre-trained models toolkit based on PaddlePaddle.200+ models including Image, Text, Audio and Video with Easy..\",33.0,22,True,2021-01-06 12:04:54.000000,2.0.0-rc0,39.0,paddlehub,,,,['paddle'],86.0,86.0,https://pypi.org/project/paddlehub,2021-01-06 11:57:01.000000,0.0,961.0,980.0,,,,,,,,3.0,439.0,,,,,,,,,,,,,,,,,,,,,\n443,neon,NervanaSystems/neon,,ml-frameworks,https://github.com/NervanaSystems/neon,https://github.com/NervanaSystems/neon,Apache-2.0,2014-10-16 01:00:17.000000,2020-12-23 01:21:42.000000,2019-05-22 18:27:54.000000,848,87.0,305.0,3851,1118.0,Intel Nervana reference deep learning framework committed to best performance on all hardware.,109.0,22,False,2018-01-05 23:25:04.000000,2.6.0,32.0,nervananeon,,,,,39.0,39.0,https://pypi.org/project/nervananeon,2018-01-05 23:25:04.000000,,93.0,96.0,,,,,,,,3.0,255.0,,,,,,,,,,,,,,,,,,,,,\n444,ArrayFire,arrayfire/arrayfire,,gpu-utilities,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000000,2021-01-28 06:49:43.000000,2021-01-22 15:50:57.000000,455,254.0,1203.0,3299,5675.0,ArrayFire: a general purpose GPU library.,80.0,22,True,2021-01-08 21:41:09.000000,3.8.0,30.0,arrayfire,,,,,2.0,,https://pypi.org/project/arrayfire,2018-10-18 14:13:29.000000,2.0,468.0,477.0,,,,,,,,2.0,677.0,,,,,,,,,,,,,,,,,,,,,\n445,analytics-zoo,intel-analytics/analytics-zoo,,distributed-ml,https://github.com/intel-analytics/analytics-zoo,https://github.com/intel-analytics/analytics-zoo,Apache-2.0,2017-05-05 02:27:30.000000,2021-02-04 15:13:49.000000,2021-02-02 13:18:56.000000,635,436.0,526.0,2195,2560.0,\"Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray.\",82.0,22,True,2020-12-17 03:25:36.000000,0.9.0,50.0,analytics-zoo,,,,['spark'],2.0,2.0,https://pypi.org/project/analytics-zoo,2021-02-03 05:56:37.000000,,585.0,585.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n446,TF Ranking,tensorflow/ranking,,recommender-systems,https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57.000000,2021-02-04 05:28:32.000000,2021-02-04 05:28:28.000000,365,26.0,198.0,2035,325.0,Learning to Rank in TensorFlow.,20.0,22,True,2021-02-02 16:58:47.000000,0.3.3,15.0,tensorflow_ranking,,,,['tensorflow'],1.0,,https://pypi.org/project/tensorflow_ranking,2021-01-30 02:05:46.000000,1.0,12367.0,12367.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n447,PandasGUI,adamerose/pandasgui,,data-viz,https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT,2019-06-12 02:19:42.000000,2021-02-03 06:31:18.000000,2021-02-03 06:28:09.000000,117,16.0,55.0,2018,403.0,A GUI for Pandas DataFrames.,8.0,22,True,2020-11-10 17:30:20.000000,0.2.7,37.0,pandasgui,,,,['pandas'],38.0,37.0,https://pypi.org/project/pandasgui,2020-11-10 17:30:20.000000,1.0,1156.0,1156.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n448,D-Tale,man-group/dtale,,data-viz,https://github.com/man-group/dtale,https://github.com/man-group/dtale,LGPL-2.1,2019-07-15 09:34:48.000000,2021-02-02 05:12:58.377000,2021-02-02 04:40:02.000000,138,34.0,267.0,2012,317.0,Visualizer for pandas data structures.,12.0,22,True,2021-02-02 05:01:26.000000,1.33.1,100.0,dtale,conda-forge/dtale,,,\"['pandas', 'jupyter']\",87.0,87.0,https://pypi.org/project/dtale,2021-02-02 05:00:29.000000,0.0,3009.0,5824.0,https://anaconda.org/conda-forge/dtale,2021-02-02 05:12:58.377000,33787.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n449,Gradio,gradio-app/gradio,,others,https://github.com/gradio-app/gradio,https://github.com/gradio-app/gradio,Apache-2.0,2018-12-19 08:24:04.000000,2021-02-03 13:48:02.000000,2021-02-03 13:47:56.000000,126,9.0,60.0,2001,919.0,\"Wrap UIs around any model, share with anyone.\",15.0,22,True,2021-01-29 20:19:46.000000,1.5.3,83.0,gradio,,,,,69.0,67.0,https://pypi.org/project/gradio,2021-01-29 20:19:46.000000,2.0,858.0,858.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n450,knockknock,huggingface/knockknock,,ml-experiments,https://github.com/huggingface/knockknock,https://github.com/huggingface/knockknock,MIT,2019-03-20 13:08:55.000000,2021-01-09 06:11:00.000000,2020-03-16 04:26:47.000000,159,12.0,21.0,1971,75.0,Knock Knock: Get notified when your training ends with only two additional lines of code.,18.0,22,True,2020-03-04 04:15:47.000000,0.1.8,10.0,knockknock,conda-forge/knockknock,,,,138.0,135.0,https://pypi.org/project/knockknock,2020-03-16 14:30:23.000000,3.0,1533.0,1870.0,https://anaconda.org/conda-forge/knockknock,2020-03-17 01:52:16.317000,5404.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n451,scikit-opt,guofei9987/scikit-opt,,sklearn-utils,https://github.com/guofei9987/scikit-opt,https://github.com/guofei9987/scikit-opt,MIT,2017-12-05 10:20:41.000000,2021-02-02 07:04:40.000000,2021-02-02 07:04:39.000000,455,23.0,62.0,1918,238.0,\"Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune..\",8.0,22,True,2020-11-20 12:55:12.000000,0.6.1,18.0,scikit-opt,,,,['sklearn'],28.0,25.0,https://pypi.org/project/scikit-opt,2020-11-20 12:52:22.000000,3.0,526.0,526.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n452,MONAI,Project-MONAI/MONAI,,medical-data,https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000000,2021-02-04 15:12:17.000000,2021-02-04 15:12:16.000000,305,78.0,607.0,1764,765.0,AI Toolkit for Healthcare Imaging.,53.0,22,True,2020-12-15 15:21:13.000000,0.4.0,15.0,monai,,,,['pytorch'],,,https://pypi.org/project/monai,2020-12-15 15:16:56.000000,,2590.0,2590.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n453,m2cgen,BayesWitnesses/m2cgen,,model-serialisation,https://github.com/BayesWitnesses/m2cgen,https://github.com/BayesWitnesses/m2cgen,MIT,2019-01-13 02:32:55.000000,2021-02-03 05:12:55.000000,2020-10-07 17:33:12.000000,153,36.0,36.0,1752,227.0,\"Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart,..\",12.0,22,True,2020-09-18 19:17:26.000000,0.9.0,12.0,m2cgen,,,,,5.0,5.0,https://pypi.org/project/m2cgen,2020-09-18 19:16:17.000000,,7012.0,7012.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n454,DDSP,magenta/ddsp,,audio,https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27.000000,2021-02-03 22:51:33.000000,2021-02-03 22:51:22.000000,161,13.0,89.0,1736,350.0,DDSP: Differentiable Digital Signal Processing.,24.0,22,True,2021-01-14 01:59:27.000000,1.0.1,28.0,ddsp,,,,['tensorflow'],5.0,5.0,https://pypi.org/project/ddsp,2021-01-14 01:59:27.000000,,732.0,732.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n455,Essentia,MTG/essentia,,audio,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000000,2021-02-04 12:35:33.000000,2021-02-04 12:33:53.000000,395,307.0,565.0,1721,2735.0,\"C++ library for audio and music analysis, description and synthesis, including Python bindings.\",70.0,22,False,2015-03-31 16:33:30.000000,2.0,9.0,essentia,,,,,160.0,155.0,https://pypi.org/project/essentia,2021-01-13 00:12:18.000000,5.0,997.0,997.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n456,vidgear,abhiTronix/vidgear,,image,https://github.com/abhiTronix/vidgear,https://github.com/abhiTronix/vidgear,Apache-2.0,2019-03-17 02:42:42.000000,2021-01-28 02:48:09.000000,2021-01-01 04:26:42.000000,113,5.0,130.0,1586,547.0,High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features.,5.0,22,True,2021-01-01 07:57:09.000000,0.2.0,12.0,vidgear,,,,,82.0,80.0,https://pypi.org/project/vidgear,2021-01-01 07:57:09.000000,2.0,1073.0,1086.0,,,,,,,,3.0,307.0,,,,,,,,,,,,,,,,,,,,,\n457,Pillow-SIMD,uploadcare/pillow-simd,,image,https://github.com/uploadcare/pillow-simd,https://github.com/uploadcare/pillow-simd,PIL,2014-11-12 15:33:02.000000,2020-11-03 07:45:01.000000,2020-06-02 14:50:14.000000,65,11.0,53.0,1544,,The friendly PIL fork.,310.0,22,False,2020-01-02 05:19:26.000000,7.0.0,35.0,pillow-simd,,,,,408.0,358.0,https://pypi.org/project/pillow-simd,2020-01-26 14:30:27.000000,50.0,16069.0,16069.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n458,scattertext,JasonKessler/scattertext,,nlp,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12.000000,2021-01-18 15:00:35.497000,2021-01-18 09:12:39.000000,202,17.0,56.0,1496,338.0,Beautiful visualizations of how language differs among document types.,10.0,22,True,2017-03-13 05:31:21.000000,0.0.2.4.4,129.0,scattertext,conda-forge/scattertext,,,,158.0,150.0,https://pypi.org/project/scattertext,2021-01-18 09:01:42.000000,8.0,1079.0,2110.0,https://anaconda.org/conda-forge/scattertext,2021-01-18 15:00:35.497000,43335.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n459,cleanlab,cgnorthcutt/cleanlab,,others,https://github.com/cgnorthcutt/cleanlab,https://github.com/cgnorthcutt/cleanlab,MIT,2018-05-11 01:55:21.000000,2021-01-22 20:09:58.000000,2021-01-22 20:09:58.000000,157,17.0,35.0,1459,698.0,The standard package for machine learning with noisy labels and finding mislabeled data in Python.,5.0,22,True,2020-02-17 07:33:06.000000,0.1.1,15.0,cleanlab,,,,,10.0,10.0,https://pypi.org/project/cleanlab,2020-02-17 07:33:06.000000,,2394.0,2394.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n460,anaGo,Hironsan/anago,,nlp,https://github.com/Hironsan/anago,https://github.com/Hironsan/anago,MIT,2017-06-26 21:28:36.000000,2021-02-02 21:42:33.000000,2019-10-23 03:19:52.000000,350,36.0,71.0,1377,296.0,\"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.\",11.0,22,False,2018-06-03 13:51:56.000000,1.0.0,14.0,anago,,,,['tensorflow'],25.0,25.0,https://pypi.org/project/anago,2018-07-17 01:59:21.000000,,1919.0,1919.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n461,Pandaral·lel,nalepae/pandarallel,,data-containers,https://github.com/nalepae/pandarallel,https://github.com/nalepae/pandarallel,BSD-3-Clause,2019-03-10 11:58:29.000000,2021-02-03 05:53:14.000000,2020-12-16 13:29:29.000000,94,62.0,53.0,1353,110.0,A simple and efficient tool to parallelize Pandas operations on all availableCPUs.,13.0,22,True,2020-08-25 16:33:28.000000,1.5.1,28.0,pandarallel,,,,\"['pandas', 'jupyter']\",141.0,141.0,https://pypi.org/project/pandarallel,2020-08-25 16:33:28.000000,0.0,31349.0,31349.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n462,fklearn,nubank/fklearn,,ml-frameworks,https://github.com/nubank/fklearn,https://github.com/nubank/fklearn,Apache-2.0,2019-02-27 14:32:57.000000,2021-02-02 18:01:09.000000,2021-01-27 11:37:45.000000,149,19.0,19.0,1297,113.0,fklearn: Functional Machine Learning.,37.0,22,True,2020-10-02 15:11:00.000000,1.21.0,19.0,fklearn,,,,,9.0,9.0,https://pypi.org/project/fklearn,2020-10-02 15:11:00.000000,,2878.0,2878.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n463,metric-learn,scikit-learn-contrib/metric-learn,,others,https://github.com/scikit-learn-contrib/metric-learn,https://github.com/scikit-learn-contrib/metric-learn,MIT,2013-11-02 08:29:47.000000,2020-08-04 01:35:49.000000,2020-08-04 01:35:39.000000,205,47.0,109.0,1107,263.0,Metric learning algorithms in Python.,19.0,22,True,2020-07-02 12:55:51.000000,0.6.2,10.0,metric-learn,,,,['sklearn'],125.0,116.0,https://pypi.org/project/metric-learn,2020-07-02 12:59:23.000000,9.0,8090.0,8090.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n464,garage,rlworkgroup/garage,,reinforcement-learning,https://github.com/rlworkgroup/garage,https://github.com/rlworkgroup/garage,MIT,2018-06-10 21:31:23.000000,2021-01-29 22:51:53.000000,2021-01-29 22:46:26.000000,193,182.0,774.0,1055,1192.0,A toolkit for reproducible reinforcement learning research.,73.0,22,True,2020-09-17 07:34:11.000000,2020.6.3,21.0,garage,,,,['tensorflow'],13.0,13.0,https://pypi.org/project/garage,2020-10-02 17:16:03.000000,,130.0,130.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n465,pycm,sepandhaghighi/pycm,,others,https://github.com/sepandhaghighi/pycm,https://github.com/sepandhaghighi/pycm,MIT,2018-01-22 19:46:54.000000,2021-02-02 21:29:32.000000,2020-10-26 15:51:32.000000,92,16.0,150.0,1048,2508.0,Multi-class confusion matrix library in Python.,14.0,22,True,2020-10-26 16:31:56.000000,3.0,34.0,pycm,,,,,96.0,86.0,https://pypi.org/project/pycm,2020-10-26 16:32:30.000000,10.0,2333.0,2333.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n466,modAL,modAL-python/modAL,,others,https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000000,2021-01-07 09:54:00.000000,2021-01-07 09:40:40.000000,174,43.0,50.0,1026,648.0,A modular active learning framework for Python.,14.0,22,True,2021-01-07 09:47:49.000000,0.4.1,12.0,modAL,,,,['sklearn'],54.0,46.0,https://pypi.org/project/modAL,2021-01-07 09:47:49.000000,8.0,985.0,985.0,,,,,,,,3.0,3.0,,,,,,,,,,,,,,,,,,,,,\n467,bt,pmorissette/bt,,financial-data,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28.000000,2021-02-04 04:52:13.000000,2021-02-01 05:21:59.000000,251,50.0,166.0,953,402.0,bt - flexible backtesting for Python.,20.0,22,True,2021-02-01 04:51:55.000000,0.2.8,23.0,bt,,,,,64.0,44.0,https://pypi.org/project/bt,2018-05-28 17:12:46.000000,20.0,1036.0,1036.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n468,pandasql,yhat/pandasql,,data-containers,https://github.com/yhat/pandasql,https://github.com/yhat/pandasql,MIT,2013-02-18 01:53:56.000000,2020-08-14 13:00:13.000000,2017-02-01 15:40:30.000000,141,44.0,23.0,939,127.0,sqldf for pandas.,15.0,22,False,2016-04-20 21:52:36.000000,0.7.3,31.0,pandasql,,,,['pandas'],685.0,636.0,https://pypi.org/project/pandasql,2016-04-20 21:52:36.000000,49.0,117066.0,117066.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n469,Alibi,SeldonIO/alibi,,interpretability,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Apache-2.0,2019-02-26 10:10:56.000000,2021-02-03 11:11:25.000000,2021-01-22 16:57:32.000000,104,66.0,75.0,877,228.0,Algorithms for monitoring and explaining machine learning models.,11.0,22,True,2020-10-20 14:14:29.000000,0.5.5,15.0,alibi,,,,,69.0,60.0,https://pypi.org/project/alibi,2020-10-20 14:13:40.000000,9.0,1986.0,1986.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n470,keract,philipperemy/keract,,interpretability,https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57.000000,2021-02-04 06:05:42.000000,2021-01-24 05:36:29.000000,175,1.0,75.0,851,359.0,Activation Maps (Layers Outputs) and Gradients in Keras.,15.0,22,True,2020-12-30 19:38:30.000000,4.3.4,37.0,keract,,,,['tensorflow'],73.0,68.0,https://pypi.org/project/keract,2021-01-22 09:01:30.000000,5.0,852.0,852.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n471,FinTA,peerchemist/finta,,financial-data,https://github.com/peerchemist/finta,https://github.com/peerchemist/finta,LGPL-3.0,2016-09-01 21:02:46.000000,2021-01-28 17:17:10.000000,2021-01-28 17:16:53.000000,291,9.0,59.0,818,368.0,Common financial technical indicators implemented in Pandas.,22.0,22,False,2020-10-21 11:36:19.000000,1.2,19.0,finta,,,,,58.0,54.0,https://pypi.org/project/finta,2020-10-21 11:39:44.000000,4.0,1948.0,1948.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n472,minisom,JustGlowing/minisom,,others,https://github.com/JustGlowing/minisom,https://github.com/JustGlowing/minisom,CC-BY-3.0,2013-07-03 10:10:06.000000,2021-01-19 16:04:54.000000,2021-01-19 16:04:54.000000,242,8.0,61.0,767,425.0,MiniSom is a minimalistic implementation of the Self Organizing Maps.,20.0,22,False,2020-11-03 08:23:06.000000,2.2.7,14.0,minisom,,,,,149.0,145.0,https://pypi.org/project/minisom,2020-06-19 06:29:59.000000,4.0,1964.0,1964.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n473,Explainability 360,Trusted-AI/AIX360,,interpretability,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48.000000,2020-12-04 16:51:14.000000,2020-12-04 16:49:39.000000,168,26.0,18.0,762,305.0,Interpretability and explainability of data and machine learning models.,27.0,22,True,2020-10-28 09:32:21.000000,0.2.1,4.0,aix360,,,,,14.0,13.0,https://pypi.org/project/aix360,2020-10-28 09:18:17.000000,1.0,484.0,484.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n474,Opacus,pytorch/opacus,,privacy-ml,https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000000,2021-02-02 14:17:38.000000,2021-01-27 22:38:55.000000,91,7.0,52.0,731,213.0,Training PyTorch models with differential privacy.,24.0,22,True,2020-12-17 17:30:40.000000,0.11.0,6.0,opacus,,,,['pytorch'],12.0,12.0,https://pypi.org/project/opacus,2020-12-17 17:30:40.000000,,1703.0,1706.0,,,,,,,,2.0,30.0,,,,,,,,,,,,,,,,,,,,,\n475,ogb,snap-stanford/ogb,,graph,https://github.com/snap-stanford/ogb,https://github.com/snap-stanford/ogb,MIT,2019-11-22 22:13:57.000000,2021-02-02 16:45:06.000000,2021-01-23 19:47:19.000000,108,,89.0,729,397.0,\"Benchmark datasets, data loaders, and evaluators for graph machine learning.\",12.0,22,True,2020-12-29 18:13:08.000000,1.2.4,10.0,ogb,,,,,47.0,47.0,https://pypi.org/project/ogb,2020-12-29 18:08:55.000000,0.0,1595.0,1595.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n476,AstroML,astroML/astroML,,others,https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50.000000,2021-02-03 07:53:12.000000,2020-09-09 15:52:13.000000,249,48.0,80.0,721,508.0,\"Machine learning, statistics, and data mining for astronomy and astrophysics.\",29.0,22,True,2019-10-02 06:32:58.000000,0.4.1,10.0,astroML,conda-forge/astroml,,,['sklearn'],189.0,160.0,https://pypi.org/project/astroML,2020-03-23 23:20:49.000000,29.0,471.0,983.0,https://anaconda.org/conda-forge/astroml,2020-02-16 04:18:54.678000,21513.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n477,Darts,unit8co/darts,,time-series-data,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000000,2021-02-03 13:17:12.000000,2021-02-03 09:28:07.000000,91,21.0,43.0,714,314.0,A python library for easy manipulation and forecasting of time series.,24.0,22,True,2021-02-03 11:18:37.000000,0.6.1,10.0,u8darts,,unit8/darts,,,12.0,12.0,https://pypi.org/project/u8darts,2021-02-03 11:18:37.000000,,2929.0,2932.0,,,,https://hub.docker.com/r/unit8/darts,2021-02-03 09:39:53.970650,,99.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n478,kapre,keunwoochoi/kapre,,audio,https://github.com/keunwoochoi/kapre,https://github.com/keunwoochoi/kapre,MIT,2016-12-14 18:36:36.000000,2021-01-18 11:46:52.000000,2020-11-16 17:11:54.000000,129,5.0,80.0,710,188.0,kapre: Keras Audio Preprocessors.,13.0,22,True,2020-09-29 18:49:13.000000,0.3.4,21.0,kapre,,,,['tensorflow'],489.0,478.0,https://pypi.org/project/kapre,2020-09-29 18:49:13.000000,11.0,801.0,801.0,,,,,,,,3.0,8.0,,,,,,,,,,,,,,,,,,,,,\n479,GPUtil,anderskm/gputil,,gpu-utilities,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43.000000,2020-10-01 05:42:49.000000,2019-08-16 09:00:15.000000,76,10.0,14.0,671,140.0,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,13.0,22,False,2018-12-18 09:12:13.000000,1.4.0,8.0,gputil,,,,,1078.0,976.0,https://pypi.org/project/gputil,2018-12-18 09:12:13.000000,102.0,42076.0,42076.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n480,TreeInterpreter,andosa/treeinterpreter,,interpretability,https://github.com/andosa/treeinterpreter,https://github.com/andosa/treeinterpreter,BSD-3-Clause,2015-08-02 20:26:21.000000,2021-01-10 20:20:58.000000,2021-01-10 20:14:03.000000,133,25.0,3.0,635,35.0,Package for interpreting scikit-learn's decision tree and random forest predictions.,10.0,22,True,2021-01-10 20:12:39.000000,0.2.3,5.0,treeinterpreter,,,,['sklearn'],136.0,118.0,https://pypi.org/project/treeinterpreter,2021-01-10 20:12:39.000000,18.0,50505.0,50505.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n481,Node2Vec,eliorc/node2vec,,graph,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000000,2021-01-09 08:40:34.000000,2021-01-09 08:39:26.000000,166,,47.0,630,48.0,Implementation of the node2vec algorithm.,7.0,22,True,2021-01-09 08:40:34.000000,0.4.1,13.0,node2vec,conda-forge/node2vec,,,,122.0,112.0,https://pypi.org/project/node2vec,2021-01-09 08:38:24.000000,10.0,3510.0,3979.0,https://anaconda.org/conda-forge/node2vec,2020-04-25 22:41:13.714000,15505.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n482,pingouin,raphaelvallat/pingouin,,probabilistics,https://github.com/raphaelvallat/pingouin,https://github.com/raphaelvallat/pingouin,GPL-3.0,2018-04-01 01:10:22.000000,2021-01-19 01:56:22.238000,2021-01-19 00:11:27.000000,51,15.0,109.0,629,1058.0,Statistical package in Python based on Pandas.,15.0,22,False,2021-01-19 00:33:47.000000,0.3.9,31.0,pingouin,conda-forge/pingouin,,,,171.0,161.0,https://pypi.org/project/pingouin,2021-01-19 00:29:57.000000,10.0,10685.0,11861.0,https://anaconda.org/conda-forge/pingouin,2021-01-19 01:56:22.238000,30594.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n483,scikit-multilearn,scikit-multilearn/scikit-multilearn,,sklearn-utils,https://github.com/scikit-multilearn/scikit-multilearn,https://github.com/scikit-multilearn/scikit-multilearn,BSD-2-Clause,2014-04-30 13:05:44.000000,2020-06-30 10:19:46.000000,2019-05-21 11:29:06.000000,118,64.0,91.0,626,487.0,A scikit-learn based module for multi-label et. al. classification.,15.0,22,False,2018-12-10 16:24:47.000000,0.2.0,6.0,scikit-multilearn,,,,['sklearn'],344.0,341.0,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47.000000,3.0,33577.0,33577.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n484,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,,data-viz,https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14.000000,2021-01-27 21:04:48.000000,2021-01-27 20:56:22.000000,77,21.0,53.0,607,262.0,Bokeh Plotting Backend for Pandas and GeoPandas.,11.0,22,True,2021-01-27 21:04:48.000000,0.5.3,14.0,pandas-bokeh,,,,['pandas'],138.0,128.0,https://pypi.org/project/pandas-bokeh,2021-01-27 21:04:48.000000,10.0,4222.0,4222.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n485,Prince,MaxHalford/prince,,others,https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000000,2021-01-13 14:32:13.000000,2021-01-11 21:14:58.000000,108,26.0,64.0,563,179.0,\"Python factor analysis library (PCA, CA, MCA, MFA, FAMD).\",9.0,22,True,2020-10-06 11:26:47.000000,0.7.1,41.0,prince,,,,['sklearn'],104.0,101.0,https://pypi.org/project/prince,2020-10-06 11:26:47.000000,3.0,5615.0,5615.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n486,Guild AI,guildai/guildai,,ml-experiments,https://github.com/guildai/guildai,https://github.com/guildai/guildai,Apache-2.0,2017-09-27 18:57:50.000000,2021-01-30 21:17:12.000000,2021-01-25 16:50:00.000000,42,93.0,147.0,537,4310.0,\"Experiment tracking, ML developer tools.\",16.0,22,True,2021-01-14 21:03:23.000000,0.7.2,161.0,guildai,,,,,25.0,25.0,https://pypi.org/project/guildai,2021-01-14 21:03:23.000000,,1540.0,1540.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n487,CellProfiler,CellProfiler/CellProfiler,,image,https://github.com/CellProfiler/CellProfiler,https://github.com/CellProfiler/CellProfiler,BSD-3-Clause,2011-04-05 12:10:12.000000,2021-02-02 17:48:29.000000,2021-01-19 18:12:46.000000,268,165.0,2764.0,536,15285.0,An open-source application for biological image analysis.,119.0,22,True,2020-11-20 23:32:23.000000,4.0.7,40.0,cellprofiler,,,,,3.0,3.0,https://pypi.org/project/cellprofiler,2017-09-04 18:03:36.000000,,93.0,100.0,,,,,,,,3.0,613.0,,,,,,,,,,,,,,,,,,,,,\n488,tinytag,devsnd/tinytag,,audio,https://github.com/devsnd/tinytag,https://github.com/devsnd/tinytag,MIT,2014-01-27 15:27:01.000000,2020-11-11 16:20:54.000000,2020-11-11 16:13:44.000000,78,14.0,60.0,434,308.0,\"Read music meta data and length of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA and Wave files with python 2 or 3.\",18.0,22,True,2020-11-05 12:44:52.000000,1.5.0,33.0,tinytag,,,,,398.0,302.0,https://pypi.org/project/tinytag,2020-11-05 12:44:52.000000,96.0,1810.0,1810.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n489,random-forest-importances,parrt/random-forest-importances,,interpretability,https://github.com/parrt/random-forest-importances,https://github.com/parrt/random-forest-importances,MIT,2018-03-22 19:20:13.000000,2021-01-30 21:50:08.000000,2021-01-30 21:50:02.000000,90,4.0,27.0,409,249.0,Code to compute permutation and drop-column importances in Python scikit-learn models.,14.0,22,True,2021-01-28 23:23:17.000000,1.3.7,22.0,rfpimp,,,,['sklearn'],63.0,59.0,https://pypi.org/project/rfpimp,2021-01-28 23:19:33.000000,4.0,5655.0,5655.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n490,scikit-lego,koaning/scikit-lego,,sklearn-utils,https://github.com/koaning/scikit-lego,https://github.com/koaning/scikit-lego,MIT,2019-01-21 15:30:15.000000,2021-01-14 09:10:30.000000,2021-01-14 09:10:23.000000,66,21.0,182.0,400,370.0,Extra blocks for scikit-learn pipelines.,38.0,22,True,2020-10-25 11:24:35.000000,0.6.2,29.0,scikit-lego,conda-forge/scikit-lego,,,['sklearn'],15.0,15.0,https://pypi.org/project/scikit-lego,2021-01-04 09:19:31.000000,0.0,1241.0,1733.0,https://anaconda.org/conda-forge/scikit-lego,2020-11-02 09:40:04.581000,7879.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n491,python-ternary,marcharper/python-ternary,,data-viz,https://github.com/marcharper/python-ternary,https://github.com/marcharper/python-ternary,MIT,2012-08-07 23:48:55.000000,2021-01-05 02:49:30.000000,2021-01-05 02:49:29.000000,110,24.0,77.0,388,378.0,Ternary plotting library for python with matplotlib.,25.0,22,True,2020-05-10 19:01:32.000000,1.0.7,10.0,python-ternary,conda-forge/python-ternary,,,,65.0,55.0,https://pypi.org/project/python-ternary,2020-05-10 19:01:32.000000,10.0,672.0,1499.0,https://anaconda.org/conda-forge/python-ternary,2020-05-10 19:48:41.398000,47982.0,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,,,,\n492,Cornac,PreferredAI/cornac,,recommender-systems,https://github.com/PreferredAI/cornac,https://github.com/PreferredAI/cornac,Apache-2.0,2018-07-17 06:31:35.000000,2021-01-29 10:40:32.008000,2021-01-29 07:00:14.000000,55,1.0,30.0,298,1162.0,A Comparative Framework for Multimodal Recommender Systems.,11.0,22,True,2021-01-29 08:08:54.000000,1.11.0,36.0,cornac,conda-forge/cornac,,,,27.0,26.0,https://pypi.org/project/cornac,2021-01-29 08:06:15.000000,1.0,775.0,5580.0,https://anaconda.org/conda-forge/cornac,2021-01-29 10:40:32.008000,100925.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n493,vega,vega/ipyvega,,data-viz,https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000000,2021-02-02 18:18:36.000000,2021-02-02 18:18:27.000000,46,8.0,79.0,295,479.0,IPython/Jupyter notebook module for Vega and Vega-Lite.,9.0,22,True,2020-05-15 23:40:02.000000,3.4.0,37.0,vega,conda-forge/vega,,,['jupyter'],148.0,,https://pypi.org/project/vega,2020-05-15 23:40:02.000000,148.0,15847.0,22601.0,https://anaconda.org/conda-forge/vega,2020-12-10 15:03:57.175000,378226.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n494,pyvips,libvips/pyvips,,image,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000000,2020-12-27 23:03:46.000000,2020-12-27 23:01:11.000000,25,71.0,135.0,288,390.0,python binding for libvips using cffi.,10.0,22,True,2020-12-18 11:44:57.000000,2.1.14,20.0,pyvips,conda-forge/pyvips,,,,166.0,144.0,https://pypi.org/project/pyvips,2020-12-18 11:44:57.000000,22.0,2931.0,3282.0,https://anaconda.org/conda-forge/pyvips,2020-10-14 10:02:33.542000,6318.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n495,SUOD,yzhao062/SUOD,,others,https://github.com/yzhao062/SUOD,https://github.com/yzhao062/SUOD,BSD-2-Clause,2019-11-20 00:23:54.000000,2021-01-19 14:42:08.000000,2021-01-19 14:42:01.000000,27,3.0,2.0,237,134.0,(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection).,1.0,22,True,2021-01-15 02:12:04.000000,0.0.6,7.0,suod,,,,,253.0,253.0,https://pypi.org/project/suod,2021-01-15 02:12:04.000000,,55824.0,55824.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n496,Orion,Epistimio/orion,,hyperopt,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21.000000,2021-02-02 20:23:00.000000,2021-02-02 17:16:43.000000,35,20.0,105.0,179,2470.0,Asynchronous Distributed Hyperparameter Optimization.,18.0,22,True,2021-01-19 22:46:16.000000,0.1.12,13.0,orion,,,,,47.0,39.0,https://pypi.org/project/orion,2021-01-19 22:46:16.000000,8.0,1012.0,1012.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n497,pyexcel-xlsx,pyexcel/pyexcel-xlsx,,data-loading,https://github.com/pyexcel/pyexcel-xlsx,https://github.com/pyexcel/pyexcel-xlsx,BSD-3-Clause,2014-12-02 00:03:24.000000,2020-11-28 22:30:58.000000,2020-11-28 22:30:53.000000,16,12.0,20.0,85,267.0,\"A wrapper library to read, manipulate and write data in xlsx and xlsm format using openpyxl.\",4.0,22,False,2020-10-10 13:13:09.000000,0.6.0,30.0,pyexcel-xlsx,conda-forge/pyexcel-xlsx,,,,1405.0,1095.0,https://pypi.org/project/pyexcel-xlsx,2019-12-28 20:09:57.000000,310.0,28797.0,29170.0,https://anaconda.org/conda-forge/pyexcel-xlsx,2020-10-10 15:53:49.660000,14931.0,,,,,3.0,46.0,,,,,,,,,,,,,,,,,,,,,\n498,openpyxl,,,data-loading,,https://openpyxl.readthedocs.io,MIT,2015-11-03 00:22:17.154000,2021-01-16 15:51:35.602000,,0,186.0,1416.0,17,,A Python library to read/write Excel 2010 xlsx/xlsm files.,,22,False,2021-01-14 19:15:29.000000,3.0.6,96.0,openpyxl,openpyxl,openpyxl/openpyxl-ci,https://openpyxl.readthedocs.io/en/stable/,,9770.0,,https://pypi.org/project/openpyxl,2021-01-14 19:00:13.000000,9770.0,4549137.0,4549831.0,https://anaconda.org/anaconda/openpyxl,2021-01-16 15:51:35.602000,42634.0,https://hub.docker.com/r/openpyxl/openpyxl-ci,2018-09-13 18:04:17.646261,,1174.0,3.0,,,,,,,,0.0,,,,,,,,,,,,,https://foss.heptapod.net/api/graphql::openpyxl/openpyxl,https://foss.heptapod.net/openpyxl/openpyxl\n499,Recommenders,microsoft/recommenders,,recommender-systems,https://github.com/microsoft/recommenders,https://github.com/microsoft/recommenders,MIT,2018-09-19 10:06:07.000000,2021-02-04 14:07:17.000000,2021-02-04 07:51:56.000000,1575,104.0,435.0,9114,6332.0,Best Practices on Recommendation Systems.,90.0,21,True,2021-02-04 14:08:48.000000,2021.2,7.0,,,,,,1.0,1.0,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n500,cortex,cortexlabs/cortex,,model-serialisation,https://github.com/cortexlabs/cortex,https://github.com/cortexlabs/cortex,Apache-2.0,2019-01-24 04:43:14.000000,2021-02-04 14:25:59.000000,2021-02-03 22:48:12.000000,551,190.0,717.0,7296,1849.0,Run inference at scale.,18.0,21,True,2021-02-03 20:46:28.000000,0.28.0,46.0,cortex,,,,,0.0,,https://pypi.org/project/cortex,2021-02-03 20:39:26.000000,0.0,618.0,618.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n501,mace,XiaoMi/mace,,ml-frameworks,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12.000000,2021-02-02 02:43:03.000000,2021-02-02 02:35:40.000000,756,39.0,583.0,4287,3100.0,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,54.0,21,True,2021-01-12 02:48:05.000000,1.0.2,9.0,,,,,,,,,,,,43.0,,,,,,,,3.0,1298.0,,,,,,,,,,,,,,,,,,,,,\n502,cuDF,rapidsai/cudf,,gpu-utilities,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000000,2021-02-04 14:59:36.000000,2021-02-04 14:59:25.000000,484,597.0,2772.0,3649,,cuDF - GPU DataFrame Library.,199.0,21,True,2020-12-10 17:28:54.000000,0.17.0,5.0,cudf,,,,,4.0,,https://pypi.org/project/cudf,2020-06-01 20:07:47.000000,4.0,458.0,458.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n503,DeepMatcher,anhaidgroup/deepmatcher,,nlp,https://github.com/anhaidgroup/deepmatcher,https://github.com/anhaidgroup/deepmatcher,BSD-3-Clause,2017-12-01 19:01:11.000000,2020-09-27 17:25:56.000000,2020-04-20 02:34:24.000000,1279,47.0,15.0,3417,169.0,Python package for performing Entity and Text Matching using Deep Learning.,7.0,21,True,2019-12-30 19:49:33.000000,0.1.1,9.0,deepmatcher,,,,,10.0,10.0,https://pypi.org/project/deepmatcher,2019-12-30 19:49:33.000000,,192.0,192.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n504,Image Deduplicator,idealo/imagededup,,image,https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54.000000,2020-12-21 13:30:38.000000,2020-11-23 17:40:40.000000,279,17.0,53.0,3368,460.0,Finding duplicate images made easy!.,9.0,21,True,2020-11-23 17:55:24.000000,0.2.4,9.0,imagededup,,,,['tensorflow'],9.0,8.0,https://pypi.org/project/imagededup,2020-11-22 21:09:36.000000,1.0,1059.0,1059.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n505,AdaNet,tensorflow/adanet,,hyperopt,https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24.000000,2020-07-09 21:03:28.000000,2020-07-09 20:51:04.000000,499,64.0,47.0,3230,439.0,Fast and flexible AutoML with learning guarantees.,26.0,21,True,2020-07-09 20:53:28.000000,0.9.0,13.0,adanet,,,,['tensorflow'],36.0,34.0,https://pypi.org/project/adanet,2020-07-09 21:03:28.000000,2.0,443.0,443.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n506,TensorTrade,tensortrade-org/tensortrade,,financial-data,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32.000000,2021-02-04 10:29:47.000000,2021-02-04 10:29:46.000000,629,40.0,121.0,2830,864.0,\"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.\",48.0,21,True,,,25.0,tensortrade,,,,,11.0,10.0,https://pypi.org/project/tensortrade,2020-08-24 18:26:46.000000,1.0,559.0,559.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n507,dpark,douban/dpark,,data-pipelines,https://github.com/douban/dpark,https://github.com/douban/dpark,BSD-3-Clause,2012-04-11 08:35:06.000000,2020-12-25 10:36:06.000000,2020-12-25 10:36:05.000000,554,,60.0,2647,1467.0,\"Python clone of Spark, a MapReduce alike framework in Python.\",35.0,21,True,2018-07-27 04:11:36.000000,0.5.0,19.0,dpark,,,,['spark'],4.0,3.0,https://pypi.org/project/dpark,2018-07-27 04:11:36.000000,1.0,27.0,27.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n508,NLP Architect,IntelLabs/nlp-architect,,nlp,https://github.com/IntelLabs/nlp-architect,https://github.com/IntelLabs/nlp-architect,Apache-2.0,2018-05-17 21:00:13.000000,2021-02-03 21:37:41.000000,2021-01-14 15:53:57.000000,394,16.0,104.0,2587,949.0,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,36.0,21,True,2020-11-17 12:32:37.000000,0.5.5.1,13.0,nlp-architect,,,,,7.0,7.0,https://pypi.org/project/nlp-architect,2020-04-12 11:34:38.000000,,224.0,224.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n509,Image Super-Resolution,idealo/image-super-resolution,,image,https://github.com/idealo/image-super-resolution,https://github.com/idealo/image-super-resolution,Apache-2.0,2018-11-26 13:41:13.000000,2020-11-11 15:09:20.000000,2020-11-11 15:09:19.000000,482,51.0,98.0,2509,138.0,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,9.0,21,True,2020-01-08 15:37:35.000000,2.2.0,11.0,ISR,,idealo/image-super-resolution-gpu,,['tensorflow'],44.0,40.0,https://pypi.org/project/ISR,2020-01-08 15:37:35.000000,4.0,1665.0,1669.0,,,,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,,125.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n510,tensorflow-graphics,tensorflow/graphics,,image,https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44.000000,2021-02-04 12:16:08.000000,2021-02-02 20:47:51.000000,278,94.0,82.0,2392,583.0,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,33.0,21,True,2020-05-20 19:56:41.000000,2020.5.20,21.0,tensorflow-graphics,,,,['tensorflow'],3.0,,https://pypi.org/project/tensorflow-graphics,2020-05-20 19:56:41.000000,3.0,627.0,627.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n511,Luminoth,tryolabs/luminoth,,image,https://github.com/tryolabs/luminoth,https://github.com/tryolabs/luminoth,BSD-3-Clause,2017-02-16 15:07:46.000000,2020-12-24 21:01:24.000000,2020-01-07 20:53:25.000000,401,50.0,127.0,2339,838.0,Deep Learning toolkit for Computer Vision.,15.0,21,False,2018-10-31 22:19:52.000000,0.2.3,10.0,luminoth,,,,['tensorflow'],28.0,28.0,https://pypi.org/project/luminoth,2018-11-09 21:35:17.000000,,394.0,673.0,,,,,,,,3.0,11181.0,,,,,,,,,,,,,,,,,,,,,\n512,Porcupine,Picovoice/Porcupine,,audio,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000000,2021-01-29 19:02:42.000000,2021-01-29 19:02:35.000000,332,8.0,271.0,2316,377.0,On-device wake word detection powered by deep learning.,25.0,21,True,2020-12-02 15:34:40.000000,1.9,13.0,pvporcupine,,,,,4.0,4.0,https://pypi.org/project/pvporcupine,2020-10-02 19:16:49.000000,0.0,443.0,443.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n513,DeepVariant,google/deepvariant,,medical-data,https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000000,2021-02-02 20:37:57.000000,2020-12-14 23:35:27.000000,525,3.0,375.0,2179,1503.0,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,19.0,21,True,2020-12-07 17:56:31.000000,1.1.0,15.0,,bioconda/deepvariant,,,['tensorflow'],,,,,,,798.0,https://anaconda.org/bioconda/deepvariant,2020-09-05 07:25:11.429000,26671.0,,,,,3.0,3001.0,,,,,,,,,,,,,,,,,,,,,\n514,Texar,asyml/texar,,nlp,https://github.com/asyml/texar,https://github.com/asyml/texar,Apache-2.0,2017-07-22 19:02:05.000000,2020-09-17 07:03:55.000000,2020-07-29 00:38:30.000000,328,32.0,126.0,2100,1719.0,\"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the..\",41.0,21,True,2019-11-19 04:11:18.000000,0.2.4,6.0,texar,,,,['tensorflow'],14.0,12.0,https://pypi.org/project/texar,2019-11-19 04:11:18.000000,2.0,87.0,87.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n515,Mars,mars-project/mars,,others,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03.000000,2021-02-04 15:24:05.000000,2021-02-04 15:18:57.000000,241,116.0,653.0,2026,713.0,\"Mars is a tensor-based unified framework for large-scale data computation which scales Numpy, pandas, Scikit-learn and..\",18.0,21,True,2021-01-30 06:15:49.000000,0.6.4,72.0,pymars,,,,,3.0,3.0,https://pypi.org/project/pymars,2021-01-30 06:15:49.000000,0.0,618.0,618.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n516,PyFlux,RJT1990/pyflux,,time-series-data,https://github.com/RJT1990/pyflux,https://github.com/RJT1990/pyflux,BSD-3-Clause,2016-02-16 20:12:02.000000,2019-03-19 10:45:02.000000,2018-12-16 15:30:13.000000,210,79.0,65.0,1847,118.0,Open source time series library for Python.,6.0,21,False,2017-11-21 16:27:06.000000,0.4.16,35.0,pyflux,,,,,184.0,169.0,https://pypi.org/project/pyflux,2017-11-21 16:27:06.000000,15.0,7595.0,7595.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n517,PARL,PaddlePaddle/PARL,,reinforcement-learning,https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22.000000,2021-02-04 09:23:34.000000,2021-02-03 08:56:07.000000,418,52.0,149.0,1806,1.0,A high-performance distributed training framework for Reinforcement Learning.,21.0,21,True,2021-01-08 08:16:06.000000,1.4.1,16.0,parl,,,,['paddle'],67.0,67.0,https://pypi.org/project/parl,2021-01-08 08:16:06.000000,,169.0,169.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n518,auto_ml,ClimbsRocks/auto_ml,,hyperopt,https://github.com/ClimbsRocks/auto_ml,https://github.com/ClimbsRocks/auto_ml,MIT,2016-08-07 21:35:08.000000,2020-12-29 07:56:49.000000,2018-03-25 19:46:25.000000,293,185.0,215.0,1513,1149.0,[UNMAINTAINED] Automated machine learning for analytics & production.,13.0,21,False,2018-02-22 01:13:03.000000,2.9.10,78.0,auto_ml,,,,,2.0,,https://pypi.org/project/auto_ml,2018-02-22 01:13:03.000000,2.0,1204.0,1204.0,,,,,,,,3.0,33.0,,,,,,,,,,,,,,,,,,,,,\n519,lore,instacart/lore,,ml-experiments,https://github.com/instacart/lore,https://github.com/instacart/lore,MIT,2017-10-19 21:51:45.000000,2021-01-05 17:20:41.000000,2020-05-11 22:26:45.000000,118,16.0,18.0,1512,270.0,Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers.,22.0,21,True,2020-05-11 22:28:23.000000,0.8.4,231.0,lore,,,,,17.0,16.0,https://pypi.org/project/lore,2020-05-11 22:28:23.000000,1.0,532.0,532.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n520,fast-bert,kaushaltrivedi/fast-bert,,nlp,https://github.com/utterworks/fast-bert,https://github.com/utterworks/fast-bert,Apache-2.0,2019-04-18 22:01:20.000000,2021-01-30 01:53:24.000000,2020-12-17 21:05:43.000000,302,137.0,91.0,1491,262.0,Super easy library for BERT based NLP models.,34.0,21,True,2020-12-09 21:27:58.000000,1.9.5,40.0,fast-bert,,,,,2.0,,https://pypi.org/project/fast-bert,2020-12-09 21:27:58.000000,2.0,1088.0,1088.0,,,,,,,,3.0,,,,,,,,,,,,,utterworks/fast-bert,,,,,,,,,\n521,Magnitude,plasticityai/magnitude,,nn-search,https://github.com/plasticityai/magnitude,https://github.com/plasticityai/magnitude,MIT,2018-02-24 07:28:16.000000,2020-07-17 20:19:50.000000,2020-07-17 20:19:46.000000,98,25.0,50.0,1380,350.0,\"A fast, efficient universal vector embedding utility package.\",4.0,21,True,2020-05-25 11:26:36.000000,0.1.143,128.0,pymagnitude,,,,,187.0,173.0,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36.000000,14.0,3072.0,3072.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n522,Talos,autonomio/talos,,hyperopt,https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41.000000,2020-11-21 16:37:14.000000,2020-11-21 16:27:04.000000,225,41.0,343.0,1366,538.0,\"Hyperparameter Optimization for TensorFlow, Keras and PyTorch.\",19.0,21,True,2020-11-09 16:48:30.000000,1.0,13.0,talos,,,,['tensorflow'],113.0,107.0,https://pypi.org/project/talos,2020-11-09 16:46:45.000000,6.0,933.0,933.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n523,TensorFlow Privacy,tensorflow/privacy,,privacy-ml,https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000000,2021-01-25 20:02:09.000000,2021-01-25 20:02:04.000000,268,41.0,76.0,1322,440.0,Library for training machine learning models with privacy for training data.,35.0,21,True,2020-09-03 01:13:47.000000,.0.5.1,9.0,tensorflow-privacy,,,,['tensorflow'],1.0,,https://pypi.org/project/tensorflow-privacy,2020-09-03 01:10:15.000000,1.0,3576.0,3578.0,,,,,,,,2.0,41.0,,,,,,,,,,,,,,,,,,,,,\n524,Neural Tangents,google/neural-tangents,,ml-frameworks,https://github.com/google/neural-tangents,https://github.com/google/neural-tangents,Apache-2.0,2019-04-08 16:48:48.000000,2021-02-04 03:24:04.000000,2021-02-04 03:23:56.000000,148,28.0,49.0,1307,366.0,Fast and Easy Infinite Neural Networks in Python.,17.0,21,True,2021-01-25 23:20:02.000000,0.3.6,20.0,neural-tangents,,,,,13.0,13.0,https://pypi.org/project/neural-tangents,2021-01-25 23:06:16.000000,0.0,981.0,994.0,,,,,,,,3.0,104.0,,,,,,,,,,,,,,,,,,,,,\n525,NiftyNet,NifTK/NiftyNet,,medical-data,https://github.com/NifTK/NiftyNet,https://github.com/NifTK/NiftyNet,Apache-2.0,2017-08-30 07:55:43.000000,2020-04-21 19:54:52.000000,2020-04-21 19:54:51.000000,373,99.0,224.0,1266,2848.0,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,58.0,21,True,2019-10-09 19:33:30.000000,0.6.0,11.0,niftynet,,,,['tensorflow'],33.0,33.0,https://pypi.org/project/niftynet,2019-10-10 10:59:33.000000,,105.0,105.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n526,Pypeline,cgarciae/pypeln,,data-pipelines,https://github.com/cgarciae/pypeln,https://github.com/cgarciae/pypeln,MIT,2018-09-01 13:43:31.000000,2021-01-05 18:00:20.000000,2021-01-05 17:59:44.000000,66,12.0,35.0,1210,234.0,Concurrent data pipelines in Python .,9.0,21,True,2021-01-05 18:00:06.000000,0.4.7,34.0,pypeln,,,,,5.0,,https://pypi.org/project/pypeln,2021-01-05 18:00:06.000000,5.0,2817.0,2817.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n527,Karate Club,benedekrozemberczki/karateclub,,graph,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56.000000,2021-01-25 18:14:21.000000,2021-01-25 18:10:17.000000,137,,47.0,1148,2117.0,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,11.0,21,False,2021-01-25 18:14:21.000000,_10023,96.0,karateclub,,,,,23.0,23.0,https://pypi.org/project/karateclub,2021-01-25 18:11:58.000000,,1197.0,1197.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n528,FARM,deepset-ai/FARM,,nlp,https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12.000000,2021-02-04 12:34:55.000000,2021-02-04 09:45:50.000000,153,32.0,296.0,1085,529.0,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,30.0,21,True,2021-01-20 16:57:05.000000,0.6.2,22.0,farm,,,,['pytorch'],2.0,,https://pypi.org/project/farm,2021-01-20 16:51:38.000000,2.0,2408.0,2408.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n529,tensorly,tensorly/tensorly,,others,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52.000000,2021-02-03 10:28:51.000000,2021-01-30 00:11:51.000000,186,24.0,94.0,954,,TensorLy: Tensor Learning in Python.,38.0,21,True,2020-12-07 20:30:41.000000,0.5.1,16.0,tensorly,conda-forge/tensorly,,,,20.0,,https://pypi.org/project/tensorly,2020-12-07 20:30:41.000000,20.0,2082.0,5503.0,https://anaconda.org/conda-forge/tensorly,2020-12-07 22:44:30.386000,112915.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n530,scikit-cuda,lebedov/scikit-cuda,,gpu-utilities,https://github.com/lebedov/scikit-cuda,https://github.com/lebedov/scikit-cuda,BSD-3-Clause,2010-09-27 02:02:07.000000,2020-07-13 12:48:39.000000,2020-07-13 12:47:46.000000,155,39.0,163.0,797,1026.0,Python interface to GPU-powered libraries.,44.0,21,True,2019-05-27 00:29:00.000000,0.5.3,7.0,scikit-cuda,,,,,144.0,113.0,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00.000000,31.0,515.0,515.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n531,Neural Structured Learning,tensorflow/neural-structured-learning,,tensorflow-utils,https://github.com/tensorflow/neural-structured-learning,https://github.com/tensorflow/neural-structured-learning,Apache-2.0,2019-08-27 21:48:16.000000,2021-02-01 18:15:52.000000,2021-02-01 18:15:48.000000,138,4.0,39.0,770,355.0,Training neural models with structured signals.,26.0,21,True,2020-08-18 00:30:03.000000,1.3.1,7.0,neural-structured-learning,,,,['tensorflow'],27.0,27.0,https://pypi.org/project/neural-structured-learning,2020-08-18 00:35:35.000000,,2092.0,2092.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n532,iNNvestigate,albermax/innvestigate,,interpretability,https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20.000000,2020-12-30 15:22:24.000000,2020-10-16 15:26:56.000000,168,73.0,128.0,759,882.0,A toolbox to iNNvestigate neural networks' predictions!.,18.0,21,True,2019-03-19 14:31:31.000000,1.0.9,2.0,innvestigate,,,,['tensorflow'],48.0,47.0,https://pypi.org/project/innvestigate,2020-11-14 11:35:59.000000,1.0,297.0,297.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n533,gmaps,pbugnion/gmaps,,geospatial-data,https://github.com/pbugnion/gmaps,https://github.com/pbugnion/gmaps,BSD-3-Clause,2014-12-01 09:12:06.000000,2020-10-13 07:09:18.000000,2019-07-22 06:22:45.000000,141,63.0,135.0,698,1380.0,Google maps for Jupyter notebooks.,16.0,21,False,2019-07-21 08:49:48.715000,0.9.0,93.0,gmaps,conda-forge/gmaps,,,['jupyter'],38.0,1.0,https://pypi.org/project/gmaps,2019-07-20 07:47:04.000000,37.0,3032.0,9007.0,https://anaconda.org/conda-forge/gmaps,2019-08-02 11:56:50.940000,203367.0,,,,,3.0,,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715000,,1456.0,,,,,,,,,,,,,,,\n534,fairlearn,fairlearn/fairlearn,,interpretability,https://github.com/fairlearn/fairlearn,https://github.com/fairlearn/fairlearn,MIT,2018-05-15 01:51:35.000000,2021-02-04 15:28:42.000000,2021-02-04 13:01:07.000000,168,76.0,110.0,665,554.0,A Python package to assess and improve fairness of machine learning models.,29.0,21,True,2020-11-10 15:01:51.000000,0.5.0,13.0,fairlearn,conda-forge/fairlearn,,,['sklearn'],2.0,,https://pypi.org/project/fairlearn,2021-02-04 12:58:01.000000,2.0,3175.0,3943.0,https://anaconda.org/conda-forge/fairlearn,2021-02-03 19:59:47.855000,9219.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n535,Sentinelsat,sentinelsat/sentinelsat,,geospatial-data,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26.000000,2021-01-31 18:47:02.000000,2021-01-31 18:47:01.000000,162,29.0,208.0,556,801.0,Search and download Copernicus Sentinel satellite images.,34.0,21,False,2020-06-12 07:15:51.000000,0.14,36.0,sentinelsat,,,,,186.0,164.0,https://pypi.org/project/sentinelsat,2020-06-12 07:08:37.000000,22.0,4634.0,4637.0,,,,,,,,3.0,191.0,,,,,,,,,,,,,,,,,,,,,\n536,pickleDB,patx/pickledb,,data-containers,https://github.com/patx/pickledb,https://github.com/patx/pickledb,BSD-3-Clause,2011-10-28 00:04:40.000000,2020-08-25 09:47:52.000000,2019-11-15 03:38:30.000000,92,16.0,39.0,536,105.0,pickleDB is an open source key-value store using Python's json module.,11.0,21,False,2019-01-13 22:40:32.000000,0.9.1,19.0,pickledb,,,,,584.0,482.0,https://pypi.org/project/pickledb,2019-01-13 22:40:32.000000,102.0,11071.0,11071.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n537,Studio.ml,studioml/studio,,ml-experiments,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28.000000,2021-01-22 20:27:41.000000,2021-01-22 20:09:17.000000,48,56.0,189.0,369,2324.0,Studio: Simplify and expedite model building process.,21.0,21,True,2021-01-19 22:49:48.000000,0.0.39,181.0,studioml,,,,,3.0,3.0,https://pypi.org/project/studioml,2021-01-22 20:27:41.000000,,711.0,711.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n538,Neuraxle,Neuraxio/Neuraxle,,hyperopt,https://github.com/Neuraxio/Neuraxle,https://github.com/Neuraxio/Neuraxle,Apache-2.0,2019-03-26 21:01:54.000000,2021-01-26 23:43:37.000000,2021-01-12 03:35:32.000000,39,122.0,130.0,360,1324.0,A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right..,7.0,21,True,2020-09-20 16:29:39.000000,0.5.6,18.0,neuraxle,,,,,17.0,17.0,https://pypi.org/project/neuraxle,2020-09-20 16:29:39.000000,0.0,233.0,233.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n539,Pandas Summary,mouradmourafiq/pandas-summary,,data-containers,https://github.com/mouradmourafiq/pandas-summary,https://github.com/mouradmourafiq/pandas-summary,MIT,2016-03-25 21:59:32.000000,2019-08-24 21:10:25.000000,2019-08-24 21:10:24.000000,34,8.0,5.0,358,24.0,An extension to pandas dataframes describe function.,6.0,21,False,2016-08-30 07:54:59.000000,0.0.41,8.0,pandas-summary,,,,['pandas'],582.0,563.0,https://pypi.org/project/pandas-summary,2016-08-30 07:54:59.000000,19.0,17324.0,17324.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n540,PyTorch Sparse,rusty1s/pytorch_sparse,,pytorch-utils,https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53.000000,2021-01-19 11:21:56.000000,2021-01-19 11:21:52.000000,44,34.0,51.0,347,512.0,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,12.0,21,True,2020-11-02 10:42:59.000000,0.6.8,21.0,torch-sparse,,,,['pytorch'],17.0,,https://pypi.org/project/torch-sparse,2020-11-02 10:43:20.000000,17.0,3563.0,3563.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n541,torch-cluster,rusty1s/pytorch_cluster,,graph,https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06.000000,2021-01-03 16:07:26.000000,2021-01-03 16:07:22.000000,68,35.0,38.0,333,499.0,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,17.0,21,True,2020-10-31 14:42:35.000000,1.5.8,38.0,torch-cluster,,,,['pytorch'],32.0,,https://pypi.org/project/torch-cluster,2020-10-31 14:42:35.000000,32.0,1972.0,1972.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n542,SDV,sdv-dev/SDV,,data-loading,https://github.com/sdv-dev/SDV,https://github.com/sdv-dev/SDV,MIT,2018-05-11 15:56:50.000000,2021-02-03 20:36:23.000000,2021-02-03 20:36:21.000000,58,44.0,137.0,318,780.0,\"Synthetic Data Generation for tabular, relational and time series data.\",33.0,21,True,2021-01-28 00:14:45.000000,0.7.0,40.0,sdv,,,,,13.0,13.0,https://pypi.org/project/sdv,2021-01-28 00:13:40.000000,0.0,776.0,776.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n543,joypy,sbebo/joypy,,data-viz,https://github.com/sbebo/joypy,https://github.com/sbebo/joypy,MIT,2017-07-30 17:18:50.000000,2020-12-28 14:07:53.760000,2020-12-28 11:56:12.000000,32,4.0,34.0,314,108.0,Joyplots in Python with matplotlib & pandas.,5.0,21,True,2020-12-28 11:54:36.000000,0.2.4,16.0,joypy,conda-forge/joypy,,,,71.0,65.0,https://pypi.org/project/joypy,2020-12-28 11:54:36.000000,6.0,1893.0,2239.0,https://anaconda.org/conda-forge/joypy,2020-12-28 14:07:53.760000,7963.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n544,datatest,shawnbrown/datatest,,data-loading,https://github.com/shawnbrown/datatest,https://github.com/shawnbrown/datatest,Apache-2.0,2016-05-12 13:16:27.000000,2021-01-27 09:05:24.000000,2021-01-27 08:56:02.000000,13,9.0,42.0,237,2135.0,Tools for test driven data-wrangling and data validation.,6.0,21,True,2021-01-04 03:43:58.000000,0.11.1,17.0,datatest,,,,,31.0,29.0,https://pypi.org/project/datatest,2021-01-04 03:39:40.000000,2.0,1401.0,1401.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n545,pymap3d,geospace-code/pymap3d,,geospatial-data,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03.000000,2020-12-23 03:44:01.000000,2020-12-23 03:43:54.000000,55,2.0,22.0,173,622.0,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,8.0,21,True,2020-09-21 15:20:10.000000,2.4.3,45.0,pymap3d,conda-forge/pymap3d,,,,3.0,,https://pypi.org/project/pymap3d,2020-09-21 15:16:49.000000,3.0,12322.0,12883.0,https://anaconda.org/conda-forge/pymap3d,2020-09-24 05:54:07.357000,6176.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n546,py3nvml,fbcotter/py3nvml,,gpu-utilities,https://github.com/fbcotter/py3nvml,https://github.com/fbcotter/py3nvml,BSD-3-Clause,2016-11-21 01:07:37.000000,2020-10-10 10:41:08.987000,2020-04-23 06:54:42.000000,24,2.0,9.0,164,79.0,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,6.0,21,True,2020-04-06 16:02:10.000000,0.2.6,13.0,py3nvml,conda-forge/py3nvml,,,,242.0,222.0,https://pypi.org/project/py3nvml,2020-04-06 16:02:10.000000,20.0,51935.0,52819.0,https://anaconda.org/conda-forge/py3nvml,2020-10-10 10:41:08.987000,11494.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n547,Dejavu,worldveil/dejavu,,audio,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35.000000,2020-10-29 17:40:17.000000,2020-06-03 05:58:03.000000,1236,83.0,129.0,5320,146.0,Audio fingerprinting and recognition in Python.,23.0,20,True,2015-04-19 21:20:16.000000,0.1.3,4.0,PyDejavu,,,,,17.0,16.0,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16.000000,1.0,57.0,57.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n548,Qlib,microsoft/qlib,,financial-data,https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000000,2021-02-04 10:21:26.000000,2021-02-04 09:01:34.000000,629,74.0,59.0,4167,,\"Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research,..\",28.0,20,True,2021-02-02 09:28:46.000000,0.6.2,16.0,pyqlib,,,,['pytorch'],,,https://pypi.org/project/pyqlib,2021-02-02 09:29:47.000000,,1966.0,2006.0,,,,,,,,3.0,201.0,,,,,,,,,,,,,,,,,,,,,\n549,MMF,facebookresearch/mmf,,image,https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40.000000,2021-02-04 04:23:10.000000,2021-02-02 09:32:36.000000,594,89.0,331.0,4078,769.0,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,52.0,20,True,2019-08-26 19:04:21.000000,0.3.1,11.0,mmf,,,,['pytorch'],6.0,6.0,https://pypi.org/project/mmf,2020-06-11 16:09:52.000000,,65.0,65.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n550,MatchZoo,NTMC-Community/MatchZoo,,nlp,https://github.com/NTMC-Community/MatchZoo,https://github.com/NTMC-Community/MatchZoo,Apache-2.0,2017-06-08 08:55:22.000000,2020-06-17 07:27:59.000000,2019-10-24 13:10:07.000000,858,26.0,428.0,3338,1808.0,\"Facilitating the design, comparison and sharing of deep text matching models.\",35.0,20,False,2019-10-24 13:09:11.000000,2.2.0,5.0,matchzoo,,,,['tensorflow'],9.0,9.0,https://pypi.org/project/matchzoo,2019-10-24 13:09:11.000000,,98.0,98.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n551,MindsDB,mindsdb/mindsdb,,ml-frameworks,https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,GPL-3.0,2018-08-02 17:56:45.000000,2021-02-04 14:04:10.000000,2021-02-01 20:25:16.000000,408,36.0,484.0,3207,,Predictive AI layer for existing databases.,55.0,20,False,2021-02-02 00:03:50.000000,2.20.1,42.0,mindsdb,,,,['pytorch'],3.0,,https://pypi.org/project/mindsdb,2019-03-19 05:07:23.000000,3.0,1897.0,1897.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n552,TTS,mozilla/TTS,,audio,https://github.com/mozilla/TTS,https://github.com/mozilla/TTS,MPL-2.0,2018-01-23 14:22:06.000000,2021-02-04 09:02:24.000000,2021-02-01 17:23:55.000000,667,29.0,420.0,3152,2181.0,Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts).,50.0,20,True,2021-01-29 00:03:56.000000,0.0.9,1.0,,,,,,,,,,,,39.0,,,,,,,,3.0,39.0,,,,,,,,3.0,,,,,,,,,,,,,\n553,DALI,NVIDIA/DALI,,gpu-utilities,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000000,2021-02-04 15:05:20.000000,2021-02-04 14:29:57.000000,369,186.0,607.0,3067,1686.0,A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep..,55.0,20,True,2021-01-27 17:28:00.000000,0.30.0,36.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n554,FATE,FederatedAI/FATE,,privacy-ml,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000000,2021-02-04 14:26:09.000000,2021-01-17 03:20:44.000000,805,277.0,524.0,2748,6609.0,An Industrial Grade Federated Learning Framework.,50.0,20,True,2020-11-13 13:36:14.000000,1.5.0,24.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n555,image-match,EdjoLabs/image-match,,image,https://github.com/EdjoLabs/image-match,https://github.com/EdjoLabs/image-match,Apache-2.0,2016-03-08 18:16:45.000000,2021-01-04 18:36:01.000000,2021-01-04 18:35:59.000000,351,47.0,47.0,2512,404.0,Quickly search over billions of images.,17.0,20,True,2017-02-13 14:54:48.000000,1.1.2,10.0,image_match,,,,,3.0,,https://pypi.org/project/image_match,2017-02-13 14:54:48.000000,3.0,325.0,325.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n556,gpt-2-simple,minimaxir/gpt-2-simple,,nlp,https://github.com/minimaxir/gpt-2-simple,https://github.com/minimaxir/gpt-2-simple,MIT,2019-04-13 20:00:52.000000,2021-02-01 03:19:46.000000,2020-04-24 02:31:04.000000,501,129.0,90.0,2476,130.0,Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts.,16.0,20,True,2019-12-28 04:05:21.000000,0.7.1,15.0,gpt-2-simple,,,,['tensorflow'],3.0,,https://pypi.org/project/gpt-2-simple,2019-12-28 04:03:29.000000,3.0,3633.0,3641.0,,,,,,,,3.0,190.0,,,,,,,,,,,,,,,,,,,,,\n557,StreamAlert,airbnb/streamalert,,others,https://github.com/airbnb/streamalert,https://github.com/airbnb/streamalert,Apache-2.0,2017-01-22 01:10:56.000000,2021-01-13 20:21:16.000000,2020-10-05 21:15:11.000000,281,90.0,247.0,2455,1892.0,\"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data..\",30.0,20,True,2020-10-05 21:50:56.000000,3.4.1,27.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n558,finmarketpy,cuemacro/finmarketpy,,financial-data,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03.000000,2021-01-25 15:04:53.000000,2021-01-25 15:02:09.000000,431,21.0,3.0,2452,655.0,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,14.0,20,True,2021-01-25 15:04:53.000000,0.11.8,9.0,finmarketpy,,,,,3.0,3.0,https://pypi.org/project/finmarketpy,2021-01-25 15:01:25.000000,,76.0,76.0,,,,,,,,3.0,39.0,,,,,,,,,,,,,,,,,,,,,\n559,NeMo,NVIDIA/NeMo,,nlp,https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000000,2021-02-04 10:30:06.000000,2021-02-04 00:34:54.000000,380,165.0,264.0,2368,,NeMo: a toolkit for conversational AI.,72.0,20,True,2020-07-10 00:01:18.000000,0.11.0,36.0,nemo-toolkit,,,,['pytorch'],4.0,,https://pypi.org/project/nemo-toolkit,2020-12-11 21:33:53.000000,4.0,1219.0,1308.0,,,,,,,,3.0,1519.0,,,,,,,,,,,,,,,,,,,,,\n560,Hummingbird,microsoft/hummingbird,,model-serialisation,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000000,2021-02-03 01:28:47.000000,2021-02-03 01:11:00.000000,156,47.0,134.0,2228,,Hummingbird compiles trained ML models into tensor computation for faster inference.,18.0,20,True,2021-01-04 22:16:04.000000,0.2.1,9.0,hummingbird-ml,,,,,12.0,12.0,https://pypi.org/project/hummingbird-ml,2021-01-04 22:14:22.000000,,720.0,730.0,,,,,,,,3.0,91.0,,,,,,,,,,,,,,,,,,,,,\n561,Texthero,jbesomi/texthero,,nlp,https://github.com/jbesomi/texthero,https://github.com/jbesomi/texthero,MIT,2020-04-06 15:16:05.000000,2020-12-09 16:49:27.000000,2020-11-03 07:58:36.000000,183,73.0,48.0,2093,267.0,\"Text preprocessing, representation and visualization from zero to hero.\",18.0,20,True,2020-07-06 20:32:28.000000,1.0.9,9.0,texthero,,,,,,,https://pypi.org/project/texthero,2020-07-06 20:29:25.000000,,1577.0,1583.0,,,,,,,,3.0,62.0,,,,,,,,,,,,,,,,,,,,,\n562,pdftabextract,WZBSocialScienceCenter/pdftabextract,,ocr,https://github.com/WZBSocialScienceCenter/pdftabextract,https://github.com/WZBSocialScienceCenter/pdftabextract,Apache-2.0,2016-07-08 11:44:46.000000,2020-12-28 00:52:23.000000,2018-10-26 13:57:02.000000,329,2.0,18.0,1892,168.0,A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.,2.0,20,False,2018-01-09 08:00:24.000000,0.3.0,5.0,pdftabextract,,,,,36.0,36.0,https://pypi.org/project/pdftabextract,2018-01-09 08:00:24.000000,,272.0,272.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n563,STUMPY,TDAmeritrade/stumpy,,time-series-data,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000000,2021-02-04 02:39:23.000000,2021-02-04 02:38:15.000000,161,27.0,190.0,1656,,\"STUMPY is a powerful and scalable Python library for computing a Matrix Profile, which can be used for a variety of..\",20.0,20,True,2021-01-20 23:33:17.000000,1.7.2,18.0,stumpy,conda-forge/stumpy,,,,0.0,,https://pypi.org/project/stumpy,2021-01-20 22:21:04.000000,0.0,9026.0,9759.0,https://anaconda.org/conda-forge/stumpy,2021-01-20 22:49:36.113000,15397.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n564,DELTA,Delta-ML/delta,,nlp,https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57.000000,2021-02-03 19:28:31.011427,2020-12-17 06:57:15.000000,273,9.0,68.0,1382,932.0,DELTA is a deep learning based natural language and speech processing platform.,41.0,20,True,2020-07-16 09:31:45.000000,0.3.3,4.0,delta-nlp,,zh794390558/delta,,['tensorflow'],,,https://pypi.org/project/delta-nlp,2020-03-27 04:46:19.000000,,7.0,570.0,,,,https://hub.docker.com/r/zh794390558/delta,2021-02-03 19:28:31.011427,,11826.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n565,reformer-pytorch,lucidrains/reformer-pytorch,,pytorch-utils,https://github.com/lucidrains/reformer-pytorch,https://github.com/lucidrains/reformer-pytorch,MIT,2020-01-09 20:42:37.000000,2020-12-11 17:49:44.000000,2020-12-11 17:49:36.000000,165,1.0,92.0,1348,236.0,\"Reformer, the efficient Transformer, in Pytorch.\",9.0,20,True,2020-12-06 23:07:32.000000,1.2.4,132.0,reformer-pytorch,,,,['pytorch'],,,https://pypi.org/project/reformer-pytorch,2020-12-06 23:08:09.000000,,357.0,357.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n566,ThunderSVM,Xtra-Computing/thundersvm,,ml-frameworks,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04.000000,2021-01-27 13:53:10.000000,2021-01-27 13:53:03.000000,165,44.0,144.0,1266,898.0,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,33.0,20,True,2020-03-13 12:36:30.000000,0.3.12,9.0,thundersvm,,,,,,,https://pypi.org/project/thundersvm,2020-03-13 12:36:30.000000,,264.0,305.0,,,,,,,,3.0,2133.0,,,,,,,,,,,,,,,,,,,,,\n567,EfficientNets,rwightman/gen-efficientnet-pytorch,,pytorch-utils,https://github.com/rwightman/gen-efficientnet-pytorch,https://github.com/rwightman/gen-efficientnet-pytorch,Apache-2.0,2019-05-11 19:35:56.000000,2020-11-30 05:51:08.000000,2020-11-30 05:49:27.000000,169,,47.0,1246,106.0,\"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.\",5.0,20,True,2020-08-20 19:55:21.000000,1.0.0,9.0,geffnet,,,,['pytorch'],30.0,30.0,https://pypi.org/project/geffnet,2020-08-20 19:55:21.000000,,1597.0,1597.0,,,,,,,,2.0,,,,,,,,,-2.0,,,,,,,,,,,,,\n568,checklist,marcotcr/checklist,,interpretability,https://github.com/marcotcr/checklist,https://github.com/marcotcr/checklist,MIT,2020-03-09 17:18:49.000000,2020-12-30 23:14:48.000000,2020-12-16 19:26:13.000000,99,5.0,53.0,1217,209.0,Beyond Accuracy: Behavioral Testing of NLP models with CheckList.,7.0,20,True,2020-09-21 18:30:40.000000,0.0.10,9.0,checklist,,,,['jupyter'],7.0,5.0,https://pypi.org/project/checklist,2020-09-21 18:30:40.000000,2.0,299.0,299.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n569,Torchmeta,tristandeleu/pytorch-meta,,pytorch-utils,https://github.com/tristandeleu/pytorch-meta,https://github.com/tristandeleu/pytorch-meta,MIT,2018-12-04 23:36:45.000000,2020-11-25 16:45:01.000000,2020-11-25 16:41:48.000000,132,21.0,69.0,1197,341.0,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.,10.0,20,True,2020-11-25 16:45:01.000000,1.6.1,26.0,torchmeta,,,,['pytorch'],26.0,26.0,https://pypi.org/project/torchmeta,2020-11-25 16:45:01.000000,,361.0,361.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n570,MLBox,AxeldeRomblay/MLBox,,hyperopt,https://github.com/AxeldeRomblay/MLBox,https://github.com/AxeldeRomblay/MLBox,BSD-1-Clause,2017-06-01 16:59:24.000000,2020-11-24 17:57:08.000000,2020-08-25 09:26:27.000000,243,10.0,72.0,1187,1121.0,MLBox is a powerful Automated Machine Learning python library.,9.0,20,False,2020-08-25 09:32:37.000000,0.8.5,21.0,mlbox,,,,,20.0,20.0,https://pypi.org/project/mlbox,2020-08-25 09:32:37.000000,,786.0,786.0,,,,,,,,3.0,,,,,,,,,-2.0,,,,,,,,,,,,,\n571,tensorrec,jfkirk/tensorrec,,recommender-systems,https://github.com/jfkirk/tensorrec,https://github.com/jfkirk/tensorrec,Apache-2.0,2017-02-28 18:51:11.000000,2020-07-30 02:47:12.000000,2020-02-04 21:10:25.000000,205,33.0,90.0,1116,334.0,A TensorFlow recommendation algorithm and framework in Python.,8.0,20,True,2019-04-02 00:53:47.000000,0.26.2,30.0,tensorrec,,,,['tensorflow'],25.0,24.0,https://pypi.org/project/tensorrec,2019-04-02 00:53:47.000000,1.0,775.0,775.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n572,datatable,h2oai/datatable,,data-containers,https://github.com/h2oai/datatable,https://github.com/h2oai/datatable,MPL-2.0,2017-03-03 02:32:59.000000,2021-01-30 01:55:37.000000,2021-01-28 20:27:14.000000,96,125.0,1106.0,1109,,A Python package for manipulating 2-dimensional tabular data structures.,28.0,20,True,2020-12-10 09:10:50.000000,0.11.1,15.0,datatable,,,,,6.0,,https://pypi.org/project/datatable,2020-12-10 08:04:03.000000,6.0,8033.0,8054.0,,,,,,,,3.0,921.0,,,,,,,,,,,,,,,,,,,,,\n573,Classy Vision,facebookresearch/ClassyVision,,image,https://github.com/facebookresearch/ClassyVision,https://github.com/facebookresearch/ClassyVision,MIT,2019-09-13 22:54:44.000000,2021-02-04 13:41:55.000000,2021-02-04 04:42:02.000000,203,49.0,46.0,1092,329.0,An end-to-end PyTorch framework for image and video classification.,57.0,20,True,2020-11-20 21:02:29.000000,0.5.0,15.0,classy_vision,conda-forge/classy_vision,,,['pytorch'],0.0,,https://pypi.org/project/classy_vision,2020-11-20 21:02:29.000000,0.0,96.0,533.0,https://anaconda.org/conda-forge/classy_vision,2020-12-11 20:08:25.437000,5687.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n574,Torch Points 3D,nicolas-chaulet/torch-points3d,,image,https://github.com/nicolas-chaulet/torch-points3d,https://github.com/nicolas-chaulet/torch-points3d,BSD-3-Clause,2019-12-06 11:33:34.000000,2021-02-02 23:24:40.000000,2021-01-19 10:18:25.000000,153,41.0,156.0,1038,1571.0,Pytorch framework for doing deep learning on point clouds.,20.0,20,True,2020-12-18 10:33:50.000000,1.2.0,13.0,torch-points3d,,,,['pytorch'],2.0,2.0,https://pypi.org/project/torch-points3d,2020-12-18 10:34:16.000000,,158.0,158.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n575,Sockeye,awslabs/sockeye,,nlp,https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30.000000,2021-02-04 12:46:25.000000,2021-02-04 12:46:24.000000,290,21.0,220.0,987,735.0,Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet.,52.0,20,True,2021-01-08 08:11:37.000000,2.3.8,61.0,sockeye,,,,['mxnet'],2.0,,https://pypi.org/project/sockeye,2021-01-08 08:11:37.000000,2.0,282.0,282.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n576,Haiku,deepmind/dm-haiku,,ml-frameworks,https://github.com/deepmind/dm-haiku,https://github.com/deepmind/dm-haiku,Apache-2.0,2020-02-18 07:14:02.000000,2021-02-01 09:05:15.000000,2021-02-01 09:04:34.000000,64,18.0,48.0,933,471.0,JAX-based neural network library.,35.0,20,True,2020-11-24 11:25:05.000000,0.0.3,5.0,,,,,,58.0,58.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n577,fastFM,ibayer/fastFM,,recommender-systems,https://github.com/ibayer/fastFM,https://github.com/ibayer/fastFM,BSD-3-Clause,2014-10-27 12:25:51.000000,2020-03-05 14:57:53.000000,2020-03-05 14:57:52.000000,187,44.0,59.0,894,291.0,fastFM: A Library for Factorization Machines.,19.0,20,True,2017-11-23 06:59:56.000000,0.2.11,10.0,fastfm,,,,,78.0,74.0,https://pypi.org/project/fastfm,2017-11-23 06:59:56.000000,4.0,300.0,305.0,,,,,,,,3.0,374.0,,,,,,,,,,,,,,,,,,,,,\n578,pyts,johannfaouzi/pyts,,time-series-data,https://github.com/johannfaouzi/pyts,https://github.com/johannfaouzi/pyts,BSD-3-Clause,2017-07-31 09:23:16.000000,2020-09-12 14:41:49.000000,2020-04-30 12:28:12.000000,93,23.0,19.0,864,360.0,A Python package for time series classification.,7.0,20,True,2020-03-21 12:41:33.000000,0.11.0,17.0,pyts,conda-forge/pyts,,,,85.0,83.0,https://pypi.org/project/pyts,2020-03-21 12:36:40.000000,2.0,2058.0,2392.0,https://anaconda.org/conda-forge/pyts,2020-03-21 14:08:24.734000,6024.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n579,mrq,pricingassistant/mrq,,data-pipelines,https://github.com/pricingassistant/mrq,https://github.com/pricingassistant/mrq,MIT,2014-02-13 09:32:40.000000,2021-01-07 22:22:25.000000,2020-12-13 18:58:15.000000,113,58.0,119.0,833,709.0,Mr. Queue - A distributed worker task queue in Python using Redis & gevent.,37.0,20,True,2018-08-31 16:03:04.000000,0.9.10,70.0,mrq,,,,,35.0,23.0,https://pypi.org/project/mrq,2018-08-31 16:03:04.000000,12.0,156.0,156.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n580,attention-ocr,emedvedev/attention-ocr,,ocr,https://github.com/emedvedev/attention-ocr,https://github.com/emedvedev/attention-ocr,MIT,2017-07-21 18:35:19.000000,2020-10-31 19:40:20.000000,2020-10-31 19:40:19.000000,228,17.0,125.0,829,196.0,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,27.0,20,True,2020-10-12 06:56:40.000000,0.7.6,21.0,aocr,,,,['tensorflow'],15.0,15.0,https://pypi.org/project/aocr,2019-04-19 05:28:27.000000,,129.0,129.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n581,TFEncrypted,tf-encrypted/tf-encrypted,,privacy-ml,https://github.com/tf-encrypted/tf-encrypted,https://github.com/tf-encrypted/tf-encrypted,Apache-2.0,2018-03-21 18:22:13.000000,2020-11-19 15:48:03.000000,2020-08-19 16:56:56.000000,135,165.0,231.0,818,595.0,A Framework for Encrypted Machine Learning in TensorFlow.,28.0,20,True,2019-09-27 20:00:01.000000,0.5.9,35.0,tf-encrypted,,,,['tensorflow'],54.0,46.0,https://pypi.org/project/tf-encrypted,2019-10-21 18:05:53.000000,8.0,249.0,249.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n582,nude.py,hhatto/nude.py,,image,https://github.com/hhatto/nude.py,https://github.com/hhatto/nude.py,MIT,2013-06-09 06:55:55.000000,2020-11-23 13:49:32.000000,2020-11-23 13:49:02.000000,128,6.0,2.0,791,79.0,Nudity detection with Python.,12.0,20,True,2020-11-23 13:49:17.000000,0.5.1,10.0,nudepy,,,,,71.0,62.0,https://pypi.org/project/nudepy,2020-11-23 13:49:17.000000,9.0,1887.0,1887.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n583,mljar-supervised,mljar/mljar-supervised,,hyperopt,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000000,2021-02-04 11:44:28.000000,2021-02-04 11:44:28.000000,98,48.0,228.0,761,766.0,Automates Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning.,7.0,20,True,2021-02-03 11:31:32.000000,0.8.8,63.0,mljar-supervised,,,,,9.0,9.0,https://pypi.org/project/mljar-supervised,2021-01-30 08:32:08.000000,,1416.0,1416.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n584,keras-ocr,faustomorales/keras-ocr,,ocr,https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50.000000,2020-12-11 02:31:17.000000,2020-11-26 17:18:25.000000,173,29.0,96.0,756,161.0,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,9.0,20,True,2020-11-26 17:19:39.000000,0.8.6,26.0,keras-ocr,,,,['tensorflow'],1.0,,https://pypi.org/project/keras-ocr,2020-11-26 17:19:39.000000,1.0,1252.0,4593.0,,,,,,,,3.0,16709.0,,,,,,,,,,,,,,,,,,,,,\n585,tf-explain,sicara/tf-explain,,interpretability,https://github.com/sicara/tf-explain,https://github.com/sicara/tf-explain,MIT,2019-07-15 08:26:24.000000,2021-02-04 13:14:35.000000,2021-02-03 12:41:53.000000,70,31.0,45.0,756,196.0,Interpretability Methods for tf.keras models with Tensorflow 2.x.,13.0,20,True,2020-02-14 09:00:00.000000,0.2.1,6.0,tf-explain,,,,['tensorflow'],63.0,62.0,https://pypi.org/project/tf-explain,2020-02-14 09:04:51.000000,1.0,793.0,793.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n586,FairScale,facebookresearch/fairscale,,distributed-ml,https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000000,2021-02-04 05:14:33.000000,2021-02-04 05:14:26.000000,52,30.0,63.0,749,244.0,PyTorch extensions for high performance and large scale training.,20.0,20,True,2021-02-03 22:40:27.000000,0.1.5,9.0,fairscale,,,,['pytorch'],4.0,4.0,https://pypi.org/project/fairscale,2021-02-03 22:40:27.000000,0.0,2193.0,2193.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n587,rows,turicas/rows,,data-loading,https://github.com/turicas/rows,https://github.com/turicas/rows,LGPL-3.0,2014-05-07 05:43:11.000000,2021-01-21 08:25:19.000000,2021-01-21 08:24:59.000000,130,138.0,149.0,736,738.0,\"A common, beautiful interface to tabular data, no matter the format.\",30.0,20,False,2019-02-14 21:20:15.000000,0.4.1,9.0,rows,,,,,138.0,117.0,https://pypi.org/project/rows,2019-02-14 21:12:03.000000,21.0,581.0,581.0,,,,,,,,3.0,37.0,,,,,,,,,,,,,,,,,,,,,\n588,RecBole,RUCAIBox/RecBole,,recommender-systems,https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000000,2021-01-30 11:03:08.000000,2021-01-30 11:03:07.000000,102,24.0,55.0,735,2650.0,\"A unified, comprehensive and efficient recommendation library.\",27.0,20,True,2021-01-14 05:21:22.000000,0.2.0,4.0,recbole,aibox/recbole,,,['pytorch'],,,https://pypi.org/project/recbole,2021-01-14 05:21:22.000000,,95.0,160.0,https://anaconda.org/aibox/recbole,2021-01-14 06:11:03.469000,197.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n589,YouTokenToMe,vkcom/youtokentome,,nlp,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28.000000,2021-01-28 23:05:01.000000,2021-01-28 19:04:09.000000,43,19.0,22.0,712,79.0,Unsupervised text tokenizer focused on computational efficiency.,6.0,20,True,2020-02-13 09:57:47.000000,1.0.6,14.0,youtokentome,,,,,104.0,98.0,https://pypi.org/project/youtokentome,2020-02-12 18:24:46.000000,6.0,3791.0,3791.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n590,Madmom,CPJKU/madmom,,audio,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06.000000,2020-04-14 03:42:18.000000,2019-12-19 14:46:37.000000,120,54.0,178.0,708,1722.0,Python audio and music signal processing library.,19.0,20,False,2018-11-14 14:57:41.000000,0.16.1,11.0,madmom,,,,,150.0,116.0,https://pypi.org/project/madmom,2018-11-14 14:56:22.000000,34.0,930.0,930.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n591,mlens,flennerhag/mlens,,others,https://github.com/flennerhag/mlens,https://github.com/flennerhag/mlens,MIT,2017-01-10 20:53:47.000000,2020-02-25 14:32:48.000000,2020-02-25 14:31:53.000000,82,8.0,73.0,673,879.0,ML-Ensemble high performance ensemble learning.,7.0,20,True,2018-10-30 22:34:35.000000,0.2.3,14.0,mlens,,,,,106.0,106.0,https://pypi.org/project/mlens,2018-10-30 22:30:43.000000,,3278.0,3278.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n592,NeuPy,itdxer/neupy,,ml-frameworks,https://github.com/itdxer/neupy,https://github.com/itdxer/neupy,MIT,2015-08-24 19:45:11.000000,2020-01-15 08:04:33.000000,2019-09-02 19:02:38.000000,143,26.0,229.0,663,1145.0,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,6.0,20,False,2019-04-04 19:44:59.000000,0.8.2,34.0,neupy,,,,,111.0,101.0,https://pypi.org/project/neupy,2019-04-04 19:43:06.000000,10.0,482.0,482.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n593,Test Tube,williamFalcon/test-tube,,hyperopt,https://github.com/williamFalcon/test-tube,https://github.com/williamFalcon/test-tube,MIT,2017-09-06 02:14:57.000000,2021-01-17 20:04:39.000000,2020-03-17 22:44:47.000000,59,23.0,21.0,653,642.0,Python library to easily log experiments and parallelize hyperparameter search for neural networks.,16.0,20,True,2019-12-01 00:47:35.000000,0.7.4,53.0,test_tube,,,,,5.0,,https://pypi.org/project/test_tube,2018-12-12 22:45:59.000000,5.0,10392.0,10392.0,,,,,,,,3.0,8.0,,,,,,,,,,,,,,,,,,,,,\n594,torch-scatter,rusty1s/pytorch_scatter,,pytorch-utils,https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23.000000,2021-01-19 11:47:27.000000,2021-01-19 11:47:21.000000,73,57.0,110.0,590,810.0,PyTorch Extension Library of Optimized Scatter Operations.,14.0,20,True,2020-06-24 09:29:12.000000,2.0.5,24.0,torch-scatter,,,,['pytorch'],16.0,,https://pypi.org/project/torch-scatter,2020-02-22 16:51:10.000000,16.0,3647.0,3647.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n595,pdpipe,pdpipe/pdpipe,,data-pipelines,https://github.com/pdpipe/pdpipe,https://github.com/pdpipe/pdpipe,MIT,2017-01-24 20:37:22.000000,2021-01-19 11:34:24.000000,2021-01-19 11:34:15.000000,29,6.0,14.0,577,341.0,Easy pipelines for pandas DataFrames.,8.0,20,True,2020-11-09 09:32:37.000000,0.0.53,49.0,pdpipe,,,,['pandas'],23.0,23.0,https://pypi.org/project/pdpipe,2020-11-09 09:32:37.000000,,586.0,586.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n596,Mapbox GL,mapbox/mapboxgl-jupyter,,geospatial-data,https://github.com/mapbox/mapboxgl-jupyter,https://github.com/mapbox/mapboxgl-jupyter,MIT,2017-08-08 15:10:51.000000,2019-12-13 22:49:07.000000,2019-12-03 21:57:25.000000,119,34.0,67.0,555,220.0,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,20.0,20,False,2019-06-03 21:24:10.000000,0.10.2,20.0,mapboxgl,,,,['jupyter'],107.0,89.0,https://pypi.org/project/mapboxgl,2019-06-02 15:18:57.000000,18.0,3710.0,3710.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n597,alibi-detect,SeldonIO/alibi-detect,,others,https://github.com/SeldonIO/alibi-detect,https://github.com/SeldonIO/alibi-detect,Apache-2.0,2019-10-07 13:29:13.000000,2021-02-03 15:48:47.000000,2021-02-03 15:40:09.000000,55,33.0,42.0,554,310.0,\"Algorithms for outlier and adversarial instance detection, concept drift and metrics.\",7.0,20,True,2020-12-23 10:49:47.000000,0.4.4,9.0,alibi-detect,,,,,19.0,18.0,https://pypi.org/project/alibi-detect,2020-10-08 09:57:19.000000,1.0,817.0,817.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n598,bambi,bambinos/bambi,,probabilistics,https://github.com/bambinos/bambi,https://github.com/bambinos/bambi,MIT,2016-05-16 03:21:00.000000,2021-01-26 15:25:04.000000,2021-01-26 15:25:03.000000,50,26.0,128.0,543,523.0,BAyesian Model-Building Interface (Bambi) in Python.,15.0,20,True,2020-12-17 01:23:21.000000,0.3.0,10.0,bambi,,,,,13.0,10.0,https://pypi.org/project/bambi,2020-12-17 01:23:21.000000,3.0,186.0,186.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n599,HpBandSter,automl/HpBandSter,,hyperopt,https://github.com/automl/HpBandSter,https://github.com/automl/HpBandSter,BSD-3-Clause,2017-12-17 20:28:20.000000,2021-01-31 10:05:37.000000,2019-03-26 09:26:28.000000,94,56.0,35.0,445,187.0,a distributed Hyperband implementation on Steroids.,11.0,20,False,2019-07-30 12:47:43.000000,1.0,6.0,hpbandster,,,,,132.0,116.0,https://pypi.org/project/hpbandster,2018-10-24 09:31:01.000000,16.0,5301.0,5301.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n600,Labml,lab-ml/labml,,ml-experiments,https://github.com/lab-ml/labml,https://github.com/lab-ml/labml,MIT,2018-11-16 09:34:48.000000,2021-01-30 05:39:53.000000,2021-01-30 05:39:35.000000,36,,6.0,393,906.0,Monitor PyTorch & TensorFlow model training from your mobile phone.,6.0,20,True,2021-01-28 02:30:37.000000,0.4.99,76.0,labml,,,,,20.0,20.0,https://pypi.org/project/labml,2021-01-28 02:30:37.000000,0.0,547.0,547.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n601,optunity,claesenm/optunity,,hyperopt,https://github.com/claesenm/optunity,https://github.com/claesenm/optunity,BSD-3-Clause,2014-05-28 17:29:11.000000,2020-05-11 14:32:39.000000,2020-05-11 14:32:38.000000,73,45.0,48.0,363,782.0,optimization routines for hyperparameter tuning.,9.0,20,True,2015-09-30 05:02:00.000000,1.1.1,6.0,optunity,,,,,65.0,58.0,https://pypi.org/project/optunity,2015-09-30 05:02:00.000000,7.0,6943.0,6943.0,,,,,,,,3.0,62.0,,,,,,,,,,,,,,,,,,,,,\n602,pydlm,wwrechard/pydlm,,time-series-data,https://github.com/wwrechard/pydlm,https://github.com/wwrechard/pydlm,BSD-3-Clause,2016-06-29 07:58:53.000000,2020-07-26 21:00:50.000000,2019-10-22 07:18:40.000000,80,33.0,7.0,354,362.0,A python library for Bayesian time series modeling.,6.0,20,False,2016-11-06 01:43:35.000000,0.1.1,13.0,pydlm,,,,,16.0,16.0,https://pypi.org/project/pydlm,2018-12-19 10:27:54.000000,,11117.0,11117.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n603,skope-rules,scikit-learn-contrib/skope-rules,,sklearn-utils,https://github.com/scikit-learn-contrib/skope-rules,https://github.com/scikit-learn-contrib/skope-rules,BSD-1-Clause,2018-02-18 13:42:47.000000,2020-12-11 14:42:41.000000,2020-10-23 14:31:57.000000,58,23.0,4.0,351,247.0,machine learning with logical rules in Python.,18.0,20,False,2020-12-11 09:37:02.000000,1.0.1,4.0,skope-rules,,,,['sklearn'],28.0,25.0,https://pypi.org/project/skope-rules,2020-01-25 12:01:37.000000,3.0,7661.0,7661.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n604,aequitas,dssg/aequitas,,interpretability,https://github.com/dssg/aequitas,https://github.com/dssg/aequitas,MIT,2018-02-13 19:40:30.000000,2021-02-03 19:14:42.000000,2021-02-03 16:16:22.000000,63,33.0,20.0,349,855.0,Bias and Fairness Audit Toolkit.,15.0,20,True,2020-08-23 23:38:51.000000,0.42.0,16.0,aequitas,,,,,69.0,66.0,https://pypi.org/project/aequitas,2020-12-16 11:48:14.000000,3.0,214.0,214.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n605,BioPandas,rasbt/biopandas,,others,https://github.com/rasbt/biopandas,https://github.com/rasbt/biopandas,BSD-3-Clause,2015-11-21 00:00:14.000000,2021-01-01 17:08:09.000000,2021-01-01 17:08:08.000000,77,16.0,18.0,322,144.0,Working with molecular structures in pandas DataFrames.,7.0,20,True,2020-08-04 13:52:27.000000,0.2.7,11.0,biopandas,conda-forge/biopandas,,,['pandas'],57.0,51.0,https://pypi.org/project/biopandas,2020-08-04 13:49:59.000000,6.0,218.0,1527.0,https://anaconda.org/conda-forge/biopandas,2020-08-08 06:33:59.197000,65456.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n606,MedPy,loli/medpy,,medical-data,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34.000000,2020-05-01 15:25:39.000000,2020-05-01 15:25:38.000000,104,8.0,65.0,314,324.0,Medical image processing in Python.,13.0,20,False,2019-02-14 17:12:59.000000,0.4.0,6.0,MedPy,,,,,227.0,220.0,https://pypi.org/project/MedPy,2019-02-14 17:12:59.000000,7.0,2038.0,2038.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n607,Submit it,facebookincubator/submitit,,distributed-ml,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09.000000,2021-02-04 12:45:17.000000,2021-02-01 16:47:28.000000,19,10.0,18.0,307,52.0,Python 3.6+ toolbox for submitting jobs to Slurm.,9.0,20,True,2021-02-01 10:18:48.000000,1.2.0,9.0,submitit,conda-forge/submitit,,,,82.0,82.0,https://pypi.org/project/submitit,2021-01-29 14:02:31.000000,0.0,1816.0,1979.0,https://anaconda.org/conda-forge/submitit,2021-01-29 16:13:44.327000,980.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n608,NIPY,nipy/nipy,,medical-data,https://github.com/nipy/nipy,https://github.com/nipy/nipy,DSDP,2010-05-02 10:00:33.000000,2020-11-24 19:22:47.000000,2020-10-14 22:51:30.000000,123,43.0,104.0,289,6371.0,Neuroimaging in Python FMRI analysis package.,63.0,20,False,2018-02-19 14:14:08.000000,0.4.2,6.0,nipy,conda-forge/nipy,,,,29.0,,https://pypi.org/project/nipy,2018-02-19 14:14:08.000000,29.0,520.0,2169.0,https://anaconda.org/conda-forge/nipy,2020-05-04 19:38:04.112000,70921.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n609,sklearn-evaluation,edublancas/sklearn-evaluation,,interpretability,https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2015-09-04 16:33:42.000000,2020-12-28 15:14:00.000000,2020-12-28 15:10:09.000000,25,8.0,27.0,286,504.0,\"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook..\",5.0,20,True,2020-12-28 15:14:25.000000,0.5.4,16.0,sklearn-evaluation,,,,['sklearn'],29.0,27.0,https://pypi.org/project/sklearn-evaluation,2020-12-28 15:13:44.000000,2.0,211.0,211.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n610,rrcf,kLabUM/rrcf,,others,https://github.com/kLabUM/rrcf,https://github.com/kLabUM/rrcf,MIT,2018-10-20 05:39:05.000000,2021-01-13 23:05:23.000000,2020-06-10 01:07:39.000000,68,16.0,17.0,279,253.0,Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams.,4.0,20,True,2020-06-10 01:53:55.000000,0.4.3,7.0,rrcf,,,,,18.0,18.0,https://pypi.org/project/rrcf,2020-06-10 01:53:55.000000,,1859.0,1859.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n611,impyute,eltonlaw/impyute,,others,https://github.com/eltonlaw/impyute,https://github.com/eltonlaw/impyute,MIT,2017-01-21 09:16:27.000000,2020-06-12 21:08:40.000000,2019-10-05 20:39:08.000000,40,26.0,36.0,268,289.0,Data imputations library to preprocess datasets with missing data.,9.0,20,False,2019-04-29 02:31:32.000000,0.0.8,8.0,impyute,,,,,77.0,76.0,https://pypi.org/project/impyute,2019-04-29 02:31:32.000000,1.0,1282.0,1282.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n612,EarthPy,earthlab/earthpy,,geospatial-data,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000000,2021-02-04 01:47:42.000000,2021-02-04 01:47:41.000000,96,26.0,200.0,224,,A package built to support working with spatial data using open source python.,38.0,20,True,2020-06-18 23:58:08.000000,0.9.2,22.0,earthpy,conda-forge/earthpy,,,,81.0,75.0,https://pypi.org/project/earthpy,2020-06-18 23:58:08.000000,6.0,1097.0,2322.0,https://anaconda.org/conda-forge/earthpy,2020-06-19 15:23:44.425000,26956.0,,,,,3.0,,,,,,,,,-2.0,,,,,,,,,,,,,\n613,StaticFrame,InvestmentSystems/static-frame,,data-containers,https://github.com/InvestmentSystems/static-frame,https://github.com/InvestmentSystems/static-frame,MIT,2018-01-03 15:07:52.000000,2021-02-04 02:04:02.000000,2021-02-04 02:03:49.000000,20,33.0,244.0,208,2305.0,\"The StaticFrame library defines the Series and Frame, immutable data structures for one- and two-dimensional..\",15.0,20,True,2021-01-25 19:10:27.000000,0.7.14,97.0,static-frame,conda-forge/static-frame,,,,6.0,6.0,https://pypi.org/project/static-frame,2021-01-25 19:04:52.000000,,644.0,3246.0,https://anaconda.org/conda-forge/static-frame,2021-01-26 03:55:42.344000,62453.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n614,fletcher,xhochy/fletcher,,data-containers,https://github.com/xhochy/fletcher,https://github.com/xhochy/fletcher,MIT,2018-03-04 16:44:22.000000,2021-01-26 12:15:07.000000,2021-01-26 12:15:05.000000,32,33.0,40.0,207,518.0,Pandas ExtensionDType/Array backed by Apache Arrow.,23.0,20,True,2021-01-17 20:04:41.000000,0.7.2,15.0,fletcher,conda-forge/fletcher,,,['pandas'],3.0,3.0,https://pypi.org/project/fletcher,2020-12-29 12:02:47.000000,0.0,208.0,817.0,https://anaconda.org/conda-forge/fletcher,2021-01-17 21:23:17.140000,18869.0,,,,,3.0,12.0,,,,,,,,,,,,,,,,,,,,,\n615,Auto ViML,AutoViML/Auto_ViML,,hyperopt,https://github.com/AutoViML/Auto_ViML,https://github.com/AutoViML/Auto_ViML,Apache-2.0,2019-06-10 13:09:15.000000,2021-01-15 14:52:54.000000,2021-01-15 14:48:07.000000,52,3.0,13.0,203,284.0,Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome...,6.0,20,True,2021-01-04 21:54:14.000000,0.1.677,126.0,autoviml,,,,,13.0,13.0,https://pypi.org/project/autoviml,2021-01-15 14:52:54.000000,,169.0,169.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n616,scikit-posthocs,maximtrp/scikit-posthocs,,probabilistics,https://github.com/maximtrp/scikit-posthocs,https://github.com/maximtrp/scikit-posthocs,MIT,2017-06-22 19:41:37.000000,2020-10-19 08:16:22.000000,2020-10-19 08:16:21.000000,18,3.0,32.0,174,430.0,Pairwise Multiple Comparisons (Post Hoc) Tests in Python.,7.0,20,True,2020-10-12 19:15:07.000000,0.6.6,20.0,scikit-posthocs,,,,['sklearn'],111.0,108.0,https://pypi.org/project/scikit-posthocs,2020-10-12 19:06:51.000000,3.0,7632.0,7632.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,,,,\n617,stop-words,Alir3z4/python-stop-words,,nlp,https://github.com/Alir3z4/python-stop-words,https://github.com/Alir3z4/python-stop-words,BSD-3-Clause,2014-05-26 06:44:03.000000,2019-10-16 15:01:43.000000,2018-07-23 21:04:09.000000,20,3.0,9.0,121,90.0,Get list of common stop words in various languages in Python.,8.0,20,False,2018-07-23 20:58:34.000000,2018.7.23,8.0,stop-words,,,,,1292.0,1088.0,https://pypi.org/project/stop-words,2018-07-23 20:55:55.000000,204.0,31459.0,31459.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n618,graph-nets,deepmind/graph_nets,,graph,https://github.com/deepmind/graph_nets,https://github.com/deepmind/graph_nets,Apache-2.0,2018-08-31 08:19:28.000000,2020-12-04 17:43:48.000000,2020-12-04 17:43:47.000000,725,11.0,103.0,4780,47.0,Build Graph Nets in Tensorflow.,10.0,19,True,2020-01-29 16:00:25.000000,1.1.0,7.0,graph-nets,,,,['tensorflow'],7.0,,https://pypi.org/project/graph-nets,2020-01-29 16:00:25.000000,7.0,537.0,537.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n619,TRFL,deepmind/trfl,,reinforcement-learning,https://github.com/deepmind/trfl,https://github.com/deepmind/trfl,Apache-2.0,2018-08-08 14:44:11.000000,2020-11-06 04:44:44.000000,2020-04-20 13:05:56.000000,372,6.0,16.0,3061,116.0,TensorFlow Reinforcement Learning.,12.0,19,True,2020-04-20 14:11:57.000000,1.1.0,4.0,trfl,,,,['tensorflow'],40.0,38.0,https://pypi.org/project/trfl,2020-04-20 14:11:57.000000,2.0,459.0,459.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n620,AdaBound,Luolc/AdaBound,,pytorch-utils,https://github.com/Luolc/AdaBound,https://github.com/Luolc/AdaBound,Apache-2.0,2019-02-15 18:05:20.000000,2019-03-06 17:01:52.000000,2019-03-06 17:01:45.000000,317,16.0,7.0,2828,27.0,An optimizer that trains as fast as Adam and as good as SGD.,2.0,19,False,2019-03-06 16:44:42.000000,0.0.5,4.0,adabound,,,,['pytorch'],104.0,98.0,https://pypi.org/project/adabound,2019-02-26 04:23:45.000000,6.0,661.0,661.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n621,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,,graph,https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16.000000,2021-01-19 22:30:41.000000,2021-01-19 22:30:34.000000,359,31.0,100.0,2675,142.0,Generate embeddings from large-scale graph-structured data.,19.0,19,True,2019-10-14 16:45:11.000000,1.0.0,3.0,torchbiggraph,,,,['pytorch'],4.0,,https://pypi.org/project/torchbiggraph,2019-05-01 21:31:13.000000,4.0,339.0,344.0,,,,,,,,2.0,110.0,,,,,,,,,,,,,,,,,,,,,\n622,tf-quant-finance,google/tf-quant-finance,,financial-data,https://github.com/google/tf-quant-finance,https://github.com/google/tf-quant-finance,Apache-2.0,2019-07-24 16:09:50.000000,2021-02-04 13:01:46.000000,2021-02-04 13:01:37.000000,306,11.0,11.0,2440,633.0,High-performance TensorFlow library for quantitative finance.,30.0,19,True,,,21.0,tf-quant-finance,,,,['tensorflow'],4.0,4.0,https://pypi.org/project/tf-quant-finance,2021-02-01 16:10:08.000000,,103.0,103.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n623,DeepWalk,phanein/deepwalk,,graph,https://github.com/phanein/deepwalk,https://github.com/phanein/deepwalk,GPL-3.0,2014-08-23 03:38:20.000000,2020-04-02 01:05:36.000000,2020-04-02 01:05:35.000000,755,29.0,78.0,2173,46.0,DeepWalk - Deep Learning for Graphs.,10.0,19,False,2018-04-29 21:05:18.000000,1.0.3,4.0,deepwalk,,,,,43.0,36.0,https://pypi.org/project/deepwalk,2018-04-29 21:05:18.000000,7.0,752.0,752.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n624,Apache Singa,apache/singa,,distributed-ml,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000000,2021-01-29 11:48:23.000000,2021-01-15 13:09:22.000000,607,40.0,32.0,2173,2265.0,a distributed deep learning platform.,70.0,19,True,2020-04-21 08:01:08.000000,3.0.0,14.0,,nusdbsystem/singa,apache/singa,,,,,,,,,7.0,https://anaconda.org/nusdbsystem/singa,2021-01-20 03:00:28.355000,258.0,https://hub.docker.com/r/apache/singa,2019-06-04 04:32:52.195956,2.0,165.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n625,Kashgari,BrikerMan/Kashgari,,nlp,https://github.com/BrikerMan/Kashgari,https://github.com/BrikerMan/Kashgari,Apache-2.0,2019-01-19 01:53:28.000000,2020-12-09 02:13:33.000000,2020-10-29 08:08:00.000000,380,32.0,304.0,2023,,Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-..,19.0,19,True,2020-10-30 12:37:01.000000,2.0.1,23.0,kashgari-tf,,,,['tensorflow'],20.0,19.0,https://pypi.org/project/kashgari-tf,2019-06-26 12:27:50.000000,1.0,75.0,75.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n626,HiPlot,facebookresearch/hiplot,,data-viz,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41.000000,2021-02-03 16:46:08.000000,2021-02-03 16:33:09.000000,89,10.0,44.0,1971,116.0,HiPlot makes understanding high dimensional data easy.,6.0,19,True,2020-12-23 15:11:20.000000,0.1.22,36.0,hiplot,conda-forge/hiplot,,,,2.0,2.0,https://pypi.org/project/hiplot,2021-02-03 16:46:08.000000,0.0,1595.0,5231.0,https://anaconda.org/conda-forge/hiplot,2020-12-23 17:16:15.884000,43634.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n627,cuML,rapidsai/cuml,,gpu-utilities,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000000,2021-02-04 15:06:55.000000,2021-02-04 14:26:04.000000,302,629.0,952.0,1920,,cuML - RAPIDS Machine Learning Library.,121.0,19,True,2020-12-10 21:50:49.000000,0.17.0,7.0,cuml,,,,,0.0,,https://pypi.org/project/cuml,2019-04-11 16:57:48.000000,0.0,232.0,232.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n628,Coach,IntelLabs/coach,,reinforcement-learning,https://github.com/IntelLabs/coach,https://github.com/IntelLabs/coach,Apache-2.0,2017-10-01 19:27:43.000000,2020-12-21 12:46:30.000000,2020-12-15 08:02:16.000000,374,80.0,181.0,1914,512.0,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,34.0,19,True,2019-10-10 14:17:10.000000,1.0.1,13.0,rl_coach,,,,,1.0,,https://pypi.org/project/rl_coach,2019-10-10 14:17:10.000000,1.0,92.0,92.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n629,AmpliGraph,Accenture/AmpliGraph,,graph,https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05.000000,2020-08-25 17:19:24.000000,2020-08-25 17:00:58.000000,154,19.0,156.0,1421,895.0,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,14.0,19,True,2020-08-25 17:06:46.000000,1.3.2,11.0,ampligraph,,,,['tensorflow'],9.0,9.0,https://pypi.org/project/ampligraph,2020-08-25 16:59:58.000000,,514.0,514.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n630,hiddenlayer,waleedka/hiddenlayer,,ml-experiments,https://github.com/waleedka/hiddenlayer,https://github.com/waleedka/hiddenlayer,MIT,2018-05-18 22:34:51.000000,2020-04-24 07:32:11.000000,2020-04-24 06:58:09.000000,195,43.0,32.0,1378,58.0,\"Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.\",6.0,19,True,2018-12-03 04:33:29.000000,0.2,3.0,hiddenlayer,,,,\"['pytorch', 'tensorflow', 'jupyter']\",58.0,54.0,https://pypi.org/project/hiddenlayer,2020-04-24 07:32:11.000000,4.0,1021.0,1021.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n631,DLTK,DLTK/DLTK,,medical-data,https://github.com/DLTK/DLTK,https://github.com/DLTK/DLTK,Apache-2.0,2017-05-02 15:40:36.000000,2021-01-15 01:31:30.000000,2019-01-21 14:01:28.000000,378,7.0,24.0,1240,379.0,Deep Learning Toolkit for Medical Image Analysis.,9.0,19,False,,,5.0,dltk,,,,['tensorflow'],18.0,18.0,https://pypi.org/project/dltk,2018-02-26 17:43:57.000000,,63.0,63.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n632,doc2text,jlsutherland/doc2text,,ocr,https://github.com/jlsutherland/doc2text,https://github.com/jlsutherland/doc2text,MIT,2016-08-28 19:30:02.000000,2020-12-01 22:56:27.000000,2020-12-01 22:56:26.000000,92,12.0,9.0,1227,62.0,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,5.0,19,True,2016-09-06 21:59:21.000000,0.2.4,5.0,doc2text,,,,,32.0,32.0,https://pypi.org/project/doc2text,2016-09-06 21:59:21.000000,,192.0,192.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n633,Sweetviz,fbdesignpro/sweetviz,,data-viz,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47.000000,2020-12-10 14:32:35.000000,2020-12-10 14:30:47.000000,134,21.0,43.0,1211,77.0,\"Visualize and compare datasets, target values and associations, with one line of code.\",6.0,19,True,2020-12-10 14:32:35.000000,2.0.4,22.0,sweetviz,,,,,,,https://pypi.org/project/sweetviz,2020-12-10 14:32:35.000000,,5766.0,5766.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n634,TaskTiger,closeio/tasktiger,,data-pipelines,https://github.com/closeio/tasktiger,https://github.com/closeio/tasktiger,MIT,2015-05-14 00:26:32.000000,2021-01-14 19:17:24.000000,2020-12-17 16:07:11.000000,58,30.0,31.0,1042,250.0,Python task queue using Redis.,19.0,19,True,2019-10-29 19:32:58.000000,0.10.1,22.0,tasktiger,,,,,28.0,19.0,https://pypi.org/project/tasktiger,2020-06-18 22:08:56.000000,9.0,229.0,229.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n635,TensorNets,taehoonlee/tensornets,,tensorflow-utils,https://github.com/taehoonlee/tensornets,https://github.com/taehoonlee/tensornets,MIT,2017-09-19 05:19:01.000000,2021-01-02 06:28:10.000000,2021-01-02 06:26:24.000000,186,14.0,42.0,978,284.0,High level network definitions with pre-trained weights in TensorFlow.,6.0,19,True,2020-03-31 04:38:27.000000,0.4.6,12.0,tensornets,,,,['tensorflow'],33.0,31.0,https://pypi.org/project/tensornets,2020-03-31 04:35:15.000000,2.0,136.0,136.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n636,Skater,oracle/Skater,,interpretability,https://github.com/oracle/Skater,https://github.com/oracle/Skater,UPL-1.0,2017-01-26 05:45:42.000000,2020-11-01 15:57:12.273000,2020-06-29 20:07:12.000000,162,68.0,97.0,968,1101.0,Python Library for Model Interpretation/Explanations.,34.0,19,False,2018-09-21 07:03:32.000000,1.1.2,23.0,skater,conda-forge/skater,,,,,,https://pypi.org/project/skater,2018-09-21 07:03:32.000000,,6248.0,6994.0,https://anaconda.org/conda-forge/skater,2020-11-01 15:57:12.273000,32836.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n637,CausalNex,quantumblacklabs/causalnex,,interpretability,https://github.com/quantumblacklabs/causalnex,https://github.com/quantumblacklabs/causalnex,Apache-2.0,2019-12-12 15:26:09.000000,2021-01-28 18:12:07.000000,2021-01-06 22:35:57.000000,105,29.0,34.0,961,93.0,A Python library that helps data scientists to infer causation rather than observing correlation.,16.0,19,True,2021-01-06 22:07:04.000000,0.9.1,12.0,causalnex,,,,\"['pytorch', 'sklearn']\",7.0,7.0,https://pypi.org/project/causalnex,2020-12-07 16:16:39.000000,,5933.0,5933.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n638,gplearn,trevorstephens/gplearn,,others,https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14.000000,2020-02-15 08:12:38.000000,2020-02-15 08:12:17.000000,153,31.0,116.0,905,146.0,\"Genetic Programming in Python, with a scikit-learn inspired API.\",10.0,19,True,2019-06-01 02:04:52.000000,0.4.1,5.0,gplearn,,,,['sklearn'],139.0,132.0,https://pypi.org/project/gplearn,2019-06-01 02:04:52.000000,7.0,625.0,625.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n639,geoplotlib,andrea-cuttone/geoplotlib,,geospatial-data,https://github.com/andrea-cuttone/geoplotlib,https://github.com/andrea-cuttone/geoplotlib,MIT,2015-02-24 13:13:07.000000,2020-04-10 20:00:31.000000,2019-05-06 07:06:50.000000,144,23.0,18.0,894,159.0,python toolbox for visualizing geographical data and making maps.,8.0,19,False,2016-07-27 14:55:01.000000,0.3.2,4.0,geoplotlib,,,,,97.0,88.0,https://pypi.org/project/geoplotlib,2016-07-27 14:55:01.000000,9.0,734.0,734.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n640,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,,pytorch-utils,https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000000,2021-02-01 21:18:59.000000,2021-02-01 21:18:54.000000,71,3.0,14.0,890,610.0,PyTorch extensions for fast R&D prototyping and Kaggle farming.,5.0,19,True,2021-01-14 10:42:46.000000,0.4.1,19.0,pytorch_toolbelt,,,,['pytorch'],1.0,,https://pypi.org/project/pytorch_toolbelt,2021-01-14 10:42:46.000000,1.0,6819.0,6819.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n641,calamari,Calamari-OCR/calamari,,ocr,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,Apache-2.0,2018-03-20 15:22:29.000000,2021-02-04 12:27:57.000000,2021-01-30 11:50:52.000000,164,21.0,145.0,776,322.0,Line based ATR Engine based on OCRopy.,17.0,19,True,2021-01-19 17:04:33.000000,2.0.0,23.0,calamari_ocr,,,,,2.0,,https://pypi.org/project/calamari_ocr,2018-11-13 11:24:45.000000,2.0,337.0,337.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n642,TabNet,dreamquark-ai/tabnet,,pytorch-utils,https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000000,2021-02-02 08:53:40.000000,2021-02-02 08:04:53.000000,148,34.0,101.0,774,168.0,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,17.0,19,True,2021-02-02 08:05:11.000000,3.1.1,17.0,pytorch-tabnet,,,,['pytorch'],,,https://pypi.org/project/pytorch-tabnet,2021-02-02 08:05:11.000000,,2105.0,2105.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n643,TF Recommenders,tensorflow/recommenders,,recommender-systems,https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01.000000,2021-02-01 19:46:51.000000,2021-02-01 19:46:41.000000,73,35.0,51.0,706,,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,17.0,19,True,2021-01-21 00:51:17.000000,0.4.0,8.0,tensorflow-recommenders,,,,['tensorflow'],11.0,11.0,https://pypi.org/project/tensorflow-recommenders,2021-01-21 00:51:17.000000,,1810.0,1810.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n644,pytorch-forecasting,jdb78/pytorch-forecasting,,time-series-data,https://github.com/jdb78/pytorch-forecasting,https://github.com/jdb78/pytorch-forecasting,MIT,2020-07-03 13:05:24.000000,2021-02-04 09:14:25.000000,2021-02-04 09:14:16.000000,80,28.0,93.0,702,671.0,Time series forecasting with PyTorch.,14.0,19,True,2021-01-31 22:54:04.000000,0.8.3,24.0,pytorch-forecasting,,,,,,,https://pypi.org/project/pytorch-forecasting,2021-01-31 22:54:04.000000,,2767.0,2767.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n645,NearPy,pixelogik/NearPy,,nn-search,https://github.com/pixelogik/NearPy,https://github.com/pixelogik/NearPy,MIT,2013-04-25 09:10:26.000000,2020-02-17 20:24:08.000000,2018-10-21 17:54:28.000000,135,22.0,38.0,658,159.0,\"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..\",18.0,19,False,2016-09-27 13:04:44.000000,1.0.0,8.0,NearPy,,,,,64.0,49.0,https://pypi.org/project/NearPy,2016-09-27 13:03:12.000000,15.0,996.0,996.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n646,finetune,IndicoDataSolutions/finetune,,nlp,https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16.000000,2021-02-01 18:59:52.000000,2021-01-06 19:43:32.000000,67,18.0,115.0,631,1201.0,Scikit-learn style model finetuning for NLP.,18.0,19,True,2019-11-07 19:42:32.000000,0.8.6,37.0,finetune,,,,\"['tensorflow', 'sklearn']\",11.0,9.0,https://pypi.org/project/finetune,2020-01-10 22:42:24.000000,2.0,145.0,145.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n647,NGT,yahoojapan/NGT,,nn-search,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000000,2021-02-03 02:14:55.000000,2021-02-03 02:14:37.000000,69,7.0,69.0,617,122.0,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,11.0,19,True,2021-01-12 23:33:02.000000,1.12.3,46.0,ngt,,,,,3.0,,https://pypi.org/project/ngt,2020-09-23 06:52:45.000000,3.0,2105.0,2105.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n648,TensorBoard Logger,TeamHG-Memex/tensorboard_logger,,ml-experiments,https://github.com/TeamHG-Memex/tensorboard_logger,https://github.com/TeamHG-Memex/tensorboard_logger,MIT,2016-10-27 14:02:25.000000,2020-10-27 20:51:06.000000,2019-10-21 07:52:07.000000,52,9.0,15.0,608,46.0,Log TensorBoard events without touching TensorFlow.,5.0,19,False,2018-02-08 07:28:51.000000,0.1.0,5.0,tensorboard_logger,,,,,42.0,,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51.000000,42.0,43122.0,43122.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n649,matrixprofile-ts,target/matrixprofile-ts,,time-series-data,https://github.com/target/matrixprofile-ts,https://github.com/target/matrixprofile-ts,Apache-2.0,2018-09-10 19:03:34.000000,2020-04-25 18:38:20.000000,2020-04-25 18:37:42.000000,90,19.0,34.0,606,198.0,A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile.,15.0,19,True,2019-08-08 01:24:38.000000,0.0.9,9.0,matrixprofile-ts,,,,,12.0,12.0,https://pypi.org/project/matrixprofile-ts,2019-08-08 01:24:38.000000,,2322.0,2322.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n650,baikal,alegonz/baikal,,others,https://github.com/alegonz/baikal,https://github.com/alegonz/baikal,BSD-3-Clause,2019-01-21 12:59:02.000000,2021-01-31 09:13:47.685000,2021-01-30 09:29:45.000000,29,4.0,11.0,571,400.0,A graph-based functional API for building complex scikit-learn pipelines.,2.0,19,True,2020-05-17 12:40:17.000000,0.4.2,7.0,baikal,conda-forge/cython-blis,,,,3.0,3.0,https://pypi.org/project/baikal,2020-11-15 13:40:18.000000,,19.0,17318.0,https://anaconda.org/conda-forge/cython-blis,2021-01-31 09:13:47.685000,397893.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n651,Objax,google/objax,,ml-frameworks,https://github.com/google/objax,https://github.com/google/objax,Apache-2.0,2020-08-20 06:20:40.000000,2021-02-03 21:35:04.000000,2021-02-03 19:06:40.000000,45,41.0,49.0,562,397.0,Objax is a machine learning framework that provides an Object Oriented layer for JAX.,19.0,19,True,2021-02-03 19:08:33.000000,1.3.1,6.0,objax,,,,['jax'],5.0,5.0,https://pypi.org/project/objax,2021-02-03 18:57:30.000000,0.0,774.0,774.0,,,,,,,,3.0,,,,,,,,,2.0,,,,,,,,,,,,,\n652,PFRL,pfnet/pfrl,,reinforcement-learning,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50.000000,2021-02-03 02:45:06.000000,2021-02-03 02:45:05.000000,61,22.0,23.0,505,339.0,PFRL: a PyTorch-based deep reinforcement learning library.,11.0,19,True,2020-12-17 04:57:58.000000,0.2.1,4.0,pfrl,,,,,4.0,4.0,https://pypi.org/project/pfrl,2020-12-17 05:00:25.000000,,300.0,300.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n653,lets-plot,JetBrains/lets-plot,,data-viz,https://github.com/JetBrains/lets-plot,https://github.com/JetBrains/lets-plot,MIT,2019-03-20 16:13:03.000000,2021-02-04 14:42:18.000000,2021-02-04 14:36:50.000000,15,48.0,71.0,502,1785.0,An open-source plotting library for statistical data.,14.0,19,True,2020-12-23 21:48:58.000000,1.5.6,26.0,lets-plot,,,,,,,https://pypi.org/project/lets-plot,2020-12-23 21:38:29.000000,,2987.0,2987.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n654,iterative-stratification,trent-b/iterative-stratification,,sklearn-utils,https://github.com/trent-b/iterative-stratification,https://github.com/trent-b/iterative-stratification,BSD-3-Clause,2018-02-04 00:32:10.000000,2020-09-12 15:32:44.000000,2020-09-12 15:35:02.000000,44,1.0,10.0,500,47.0,scikit-learn cross validators for iterative stratification of multilabel data.,4.0,19,True,2018-08-12 18:12:43.000000,0.1.6,5.0,iterative-stratification,,,,['sklearn'],104.0,104.0,https://pypi.org/project/iterative-stratification,2018-08-12 18:28:50.000000,,2840.0,2840.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n655,deeplift,kundajelab/deeplift,,interpretability,https://github.com/kundajelab/deeplift,https://github.com/kundajelab/deeplift,MIT,2016-06-01 02:18:06.000000,2020-11-11 19:56:24.000000,2020-11-11 19:56:23.000000,118,29.0,46.0,496,551.0,Public facing deeplift repo.,11.0,19,True,2018-07-13 21:11:52.000000,0.6.6,21.0,deeplift,,,,,45.0,43.0,https://pypi.org/project/deeplift,2020-11-11 09:32:57.000000,2.0,460.0,460.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n656,N2,kakao/n2,,nn-search,https://github.com/kakao/n2,https://github.com/kakao/n2,Apache-2.0,2017-11-23 02:27:59.000000,2020-10-21 05:15:27.000000,2020-10-21 05:14:11.000000,52,17.0,22.0,454,242.0,TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets.,17.0,19,True,2020-10-16 03:43:47.000000,0.1.7,8.0,n2,,,,,14.0,12.0,https://pypi.org/project/n2,2020-10-16 02:48:11.000000,2.0,268.0,268.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n657,Feature Engine,solegalli/feature_engine,,others,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2018-12-31 01:47:18.000000,2021-02-02 00:46:09.000000,2021-01-23 11:51:12.000000,127,26.0,73.0,442,104.0,Feature engineering package with sklearn like functionality.,20.0,19,True,2021-01-23 12:03:16.000000,1.0.2,25.0,feature_engine,conda-forge/feature_engine,,,,2.0,,https://pypi.org/project/feature_engine,2021-01-23 12:03:16.000000,2.0,9587.0,9821.0,https://anaconda.org/conda-forge/feature_engine,2021-01-25 12:36:37.909000,1409.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n658,Poutyne,GRAAL-Research/poutyne,,pytorch-utils,https://github.com/GRAAL-Research/poutyne,https://github.com/GRAAL-Research/poutyne,LGPL-3.0,2017-12-07 18:30:17.000000,2021-01-31 00:23:28.000000,2021-01-29 22:44:42.000000,49,7.0,35.0,439,504.0,A simplified framework and utilities for PyTorch.,15.0,19,False,2020-12-24 17:01:16.000000,1.2,18.0,poutyne,,,,['pytorch'],55.0,53.0,https://pypi.org/project/poutyne,2020-12-24 17:02:00.000000,2.0,204.0,204.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n659,What-If Tool,PAIR-code/what-if-tool,,interpretability,https://github.com/PAIR-code/what-if-tool,https://github.com/PAIR-code/what-if-tool,Apache-2.0,2018-09-07 20:26:10.000000,2021-01-19 14:40:37.214000,2021-01-19 14:26:52.000000,92,34.0,36.0,433,313.0,Source code/webpage/demos for the What-If Tool.,18.0,19,True,2021-01-19 14:40:37.214000,1.8.0,38.0,witwidget,,,,,0.0,,https://pypi.org/project/witwidget,2021-01-19 14:40:21.000000,0.0,3111.0,5915.0,,,,,,,,3.0,,,wit-widget,https://www.npmjs.com/package/wit-widget,2021-01-19 14:40:37.214000,,2804.0,,,,,,,,,,,,,,,\n660,seglearn,dmbee/seglearn,,time-series-data,https://github.com/dmbee/seglearn,https://github.com/dmbee/seglearn,BSD-3-Clause,2018-03-05 20:53:59.000000,2021-01-17 19:11:59.000000,2021-01-16 23:21:41.000000,47,6.0,21.0,423,267.0,Python module for machine learning time series:.,13.0,19,True,2020-04-02 15:26:06.000000,1.2.2,21.0,seglearn,,,,,7.0,6.0,https://pypi.org/project/seglearn,2021-01-17 19:11:59.000000,1.0,1180.0,1180.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n661,Caer,jasmcaus/caer,,image,https://github.com/jasmcaus/caer,https://github.com/jasmcaus/caer,MIT,2020-08-06 18:36:14.000000,2021-01-28 14:07:13.000000,,62,5.0,,422,,\"A lightweight Computer Vision library. Scale your models, not boilerplate.\",1.0,19,True,2021-01-28 14:06:10.000000,1.9.8,109.0,caer,,,https://caer.rtfd.io,,0.0,,https://pypi.org/project/caer,2021-01-28 14:06:10.000000,0.0,858168.0,858168.0,,,,,,,,3.0,,,,,,,,,-3.0,,,,,,,,,,,,,\n662,pivottablejs,nicolaskruchten/jupyter_pivottablejs,,data-viz,https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,MIT,2015-09-09 13:39:18.000000,2018-12-04 14:43:26.000000,2018-12-04 14:43:25.000000,56,16.0,37.0,417,32.0,\"Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js.\",3.0,19,False,2018-01-15 18:14:37.000000,0.9.0,10.0,pivottablejs,,,,['jupyter'],158.0,144.0,https://pypi.org/project/pivottablejs,2018-01-15 18:14:37.000000,14.0,2791.0,2791.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n663,lazypredict,shankarpandala/lazypredict,,hyperopt,https://github.com/shankarpandala/lazypredict,https://github.com/shankarpandala/lazypredict,MIT,2019-11-16 09:56:35.000000,2021-01-24 11:57:09.000000,2021-01-23 23:52:55.000000,84,42.0,24.0,361,81.0,Lazy Predict help build a lot of basic models without much code and helps understand which models works better without..,10.0,19,True,2020-07-09 04:53:31.000000,0.2.7,9.0,lazypredict,,,,['sklearn'],20.0,20.0,https://pypi.org/project/lazypredict,2020-07-09 04:53:31.000000,,1852.0,1852.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n664,animatplot,t-makaro/animatplot,,data-viz,https://github.com/t-makaro/animatplot,https://github.com/t-makaro/animatplot,MIT,2017-04-03 00:54:04.000000,2020-10-06 02:02:00.460000,2020-10-05 06:14:18.000000,33,16.0,15.0,354,178.0,A python package for animating plots build on matplotlib.,7.0,19,True,2020-10-05 06:20:52.000000,0.4.2,10.0,animatplot,conda-forge/animatplot,,,,15.0,14.0,https://pypi.org/project/animatplot,2020-10-05 06:20:52.000000,1.0,85.0,300.0,https://anaconda.org/conda-forge/animatplot,2020-10-06 02:02:00.460000,5170.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n665,MXBoard,awslabs/mxboard,,ml-experiments,https://github.com/awslabs/mxboard,https://github.com/awslabs/mxboard,Apache-2.0,2018-02-06 23:03:51.000000,2020-01-24 23:21:56.000000,2020-01-24 23:21:55.000000,46,16.0,15.0,330,42.0,Logging MXNet data for visualization in TensorBoard.,9.0,19,False,2018-05-22 20:25:51.000000,0.1.0,12.0,mxboard,,,,['mxnet'],96.0,95.0,https://pypi.org/project/mxboard,2018-05-22 20:25:51.000000,1.0,2446.0,2446.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n666,scikit-rebate,EpistasisLab/scikit-rebate,,others,https://github.com/EpistasisLab/scikit-rebate,https://github.com/EpistasisLab/scikit-rebate,MIT,2016-09-19 13:36:17.000000,2020-08-21 15:39:02.000000,2020-07-18 19:05:12.000000,56,15.0,18.0,306,281.0,\"A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for..\",13.0,19,True,2017-04-12 16:12:01.000000,0.3.4,11.0,skrebate,,,,['sklearn'],149.0,118.0,https://pypi.org/project/skrebate,2020-07-18 19:16:45.000000,31.0,889.0,889.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n667,AutoViz,AutoViML/AutoViz,,data-viz,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06.000000,2020-12-21 03:22:01.000000,2020-12-21 03:21:52.000000,54,5.0,16.0,298,97.0,\"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..\",10.0,19,True,2020-12-10 02:33:19.000000,0.0.81,26.0,autoviz,,,,,28.0,28.0,https://pypi.org/project/autoviz,2020-12-10 02:33:19.000000,,882.0,882.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n668,explainerdashboard,oegedijk/explainerdashboard,,interpretability,https://github.com/oegedijk/explainerdashboard,https://github.com/oegedijk/explainerdashboard,MIT,2019-10-30 08:26:16.000000,2021-01-31 13:47:03.000000,2021-01-31 13:35:33.000000,45,8.0,56.0,295,540.0,Quickly build Explainable AI dashboards that show the inner workings of so-called blackbox machine learning models.,8.0,19,True,2021-01-31 13:47:03.000000,0.3.1,67.0,explainerdashboard,,,,,6.0,6.0,https://pypi.org/project/explainerdashboard,2021-01-31 13:47:03.000000,,1005.0,1005.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n669,textpipe,textpipe/textpipe,,nlp,https://github.com/textpipe/textpipe,https://github.com/textpipe/textpipe,MIT,2018-06-21 16:23:32.000000,2021-02-01 09:18:38.000000,2021-01-25 14:01:56.000000,19,21.0,24.0,268,370.0,Textpipe: clean and extract metadata from text.,28.0,19,True,2021-01-25 14:05:21.000000,0.12.2,39.0,textpipe,,,,,8.0,7.0,https://pypi.org/project/textpipe,2021-01-25 14:05:21.000000,1.0,667.0,667.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n670,scikit-tda,scikit-tda/scikit-tda,,sklearn-utils,https://github.com/scikit-tda/scikit-tda,https://github.com/scikit-tda/scikit-tda,MIT,2018-04-13 21:00:31.000000,2021-01-09 19:51:04.000000,2021-01-09 19:50:05.000000,32,11.0,3.0,265,56.0,Topological Data Analysis for Python.,2.0,19,True,2021-01-09 19:51:04.000000,0.1.0,3.0,scikit-tda,,,,['sklearn'],18.0,18.0,https://pypi.org/project/scikit-tda,2021-01-09 19:51:04.000000,,2742.0,2742.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n671,recmetrics,statisticianinstilettos/recmetrics,,recommender-systems,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49.000000,2020-12-03 21:21:02.000000,2020-12-03 21:21:00.000000,53,7.0,7.0,231,233.0,A library of metrics for evaluating recommender systems.,12.0,19,True,2019-02-10 16:12:38.000000,0.0.9,11.0,recmetrics,,,,,16.0,16.0,https://pypi.org/project/recmetrics,2019-02-10 16:12:38.000000,,783.0,783.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n672,Brainiak,brainiak/brainiak,,medical-data,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27.000000,2021-01-28 02:19:08.000000,2020-10-15 16:28:46.000000,106,63.0,117.0,230,388.0,Brain Imaging Analysis Kit.,32.0,19,True,2019-08-27 23:52:29.000000,0.9.1,15.0,brainiak,,brainiak/brainiak,,,13.0,12.0,https://pypi.org/project/brainiak,2020-10-15 20:45:08.000000,1.0,93.0,100.0,,,,https://hub.docker.com/r/brainiak/brainiak,2020-10-15 21:11:03.379549,1.0,472.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n673,pyfasttext,vrasneur/pyfasttext,,nlp,https://github.com/vrasneur/pyfasttext,https://github.com/vrasneur/pyfasttext,GPL-3.0,2017-06-30 18:44:42.000000,2018-12-08 15:32:09.000000,2018-12-08 15:02:12.000000,31,19.0,28.0,229,153.0,Yet another Python binding for fastText.,4.0,19,False,2018-12-08 15:02:54.000000,0.4.6,13.0,pyfasttext,,,,,145.0,140.0,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09.000000,5.0,1327.0,1334.0,,,,,,,,3.0,318.0,,,,,,,,,,,,,,,,,,,,,\n674,quinn,MrPowers/quinn,,ml-experiments,https://github.com/MrPowers/quinn,https://github.com/MrPowers/quinn,Apache-2.0,2017-09-15 13:02:42.000000,2020-07-29 16:22:29.000000,2020-07-29 15:47:58.000000,26,17.0,6.0,205,106.0,pyspark methods to enhance developer productivity.,6.0,19,True,2020-07-26 02:55:16.000000,0.8.0,11.0,quinn,,,,['spark'],3.0,,https://pypi.org/project/quinn,2020-07-26 02:55:16.000000,3.0,76536.0,76536.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n675,gokart,m3dev/gokart,,ml-experiments,https://github.com/m3dev/gokart,https://github.com/m3dev/gokart,MIT,2018-12-23 07:40:27.000000,2021-02-02 01:05:37.000000,2021-02-02 01:05:36.000000,29,9.0,26.0,163,327.0,A wrapper of the data pipeline library luigi.,24.0,19,True,2021-01-29 04:20:56.000000,0.3.26,50.0,gokart,,,,,2.0,,https://pypi.org/project/gokart,2020-02-25 06:01:19.000000,2.0,517.0,517.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n676,Funsor,pyro-ppl/funsor,,probabilistics,https://github.com/pyro-ppl/funsor,https://github.com/pyro-ppl/funsor,Apache-2.0,2019-01-30 23:13:39.000000,2021-02-03 16:15:25.000000,2021-02-03 16:07:26.000000,15,70.0,62.0,161,481.0,Functional tensors for probabilistic programming.,9.0,19,True,2021-01-24 17:27:54.000000,0.4.0,6.0,funsor,,,,['pytorch'],10.0,10.0,https://pypi.org/project/funsor,2021-01-24 17:26:50.000000,,251.0,251.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n677,Glow,projectglow/glow,,medical-data,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47.000000,2021-02-04 14:53:13.000000,2021-02-04 14:53:12.000000,40,22.0,53.0,157,312.0,An open-source toolkit for large-scale genomic analysis.,11.0,19,True,2020-09-10 18:38:52.000000,0.6.0,9.0,glow.py,,,,,,,https://pypi.org/project/glow.py,2020-09-10 01:15:03.000000,,1182.0,1182.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n678,BytePS,bytedance/byteps,,distributed-ml,https://github.com/bytedance/byteps,https://github.com/bytedance/byteps,Apache-2.0,2019-06-25 07:00:13.000000,2021-02-03 14:08:39.000000,2021-02-03 07:43:07.000000,365,73.0,140.0,2681,412.0,A high performance and generic framework for distributed DNN training.,17.0,18,True,2020-08-27 15:42:13.000000,0.2.4,7.0,byteps,,bytepsimage/tensorflow,,,,,https://pypi.org/project/byteps,2020-11-04 00:05:46.000000,,72.0,122.0,,,,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,1001.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n679,vit-pytorch,lucidrains/vit-pytorch,,image,https://github.com/lucidrains/vit-pytorch,https://github.com/lucidrains/vit-pytorch,MIT,2020-10-03 22:47:24.000000,2021-01-21 17:40:02.000000,2021-01-21 17:39:42.000000,231,22.0,39.0,2506,,\"Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single..\",4.0,18,True,2021-01-21 17:40:02.000000,0.6.7,25.0,vit-pytorch,,,,['pytorch'],5.0,5.0,https://pypi.org/project/vit-pytorch,2021-01-11 18:49:51.000000,,692.0,692.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n680,Crypto Signals,CryptoSignal/crypto-signal,,financial-data,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24.000000,2021-01-31 03:35:24.000000,2020-09-03 12:26:48.000000,687,39.0,191.0,2504,563.0,\"Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 2,100 + stars, 580 + forks.\",25.0,18,True,,,,,,shadowreaver/crypto-signal,,,,,,,,,1010.0,,,,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133,8.0,41428.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n681,spark-deep-learning,databricks/spark-deep-learning,,data-pipelines,https://github.com/databricks/spark-deep-learning,https://github.com/databricks/spark-deep-learning,Apache-2.0,2017-05-31 17:30:28.000000,2021-01-20 15:05:13.000000,2021-01-20 15:00:20.000000,444,74.0,26.0,1805,135.0,Deep Learning Pipelines for Apache Spark.,15.0,18,True,2020-01-08 19:50:31.000000,1.6.0,9.0,,,,,['spark'],16.0,16.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n682,Higher,facebookresearch/higher,,pytorch-utils,https://github.com/facebookresearch/higher,https://github.com/facebookresearch/higher,Apache-2.0,2019-09-06 18:58:36.000000,2020-11-23 06:15:24.000000,2020-10-28 16:53:07.000000,75,25.0,47.0,1039,28.0,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,6.0,18,True,2020-07-14 12:20:32.000000,0.2.1,2.0,higher,,,,['pytorch'],30.0,30.0,https://pypi.org/project/higher,2020-07-14 12:20:32.000000,,2506.0,2506.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n683,Databolt Flow,d6t/d6tflow,,data-pipelines,https://github.com/d6t/d6tflow,https://github.com/d6t/d6tflow,MIT,2019-02-03 01:51:22.000000,2021-01-01 18:15:45.000000,2020-12-19 21:46:11.000000,64,6.0,11.0,896,106.0,Python library for building highly effective data science workflows.,10.0,18,True,2020-10-19 04:14:45.000000,0.2.2,19.0,d6tflow,,,,,12.0,12.0,https://pypi.org/project/d6tflow,2020-12-19 22:37:20.000000,,82.0,82.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n684,Bounter,RaRe-Technologies/bounter,,data-containers,https://github.com/RaRe-Technologies/bounter,https://github.com/RaRe-Technologies/bounter,MIT,2017-07-18 07:24:15.000000,2020-08-17 06:37:51.000000,2020-08-16 11:55:16.000000,48,11.0,9.0,893,152.0,Efficient Counter that uses a limited (bounded) amount of memory regardless of data size.,8.0,18,True,2019-01-17 09:39:52.000000,1.1.1,7.0,bounter,,,,,34.0,20.0,https://pypi.org/project/bounter,2020-08-17 06:37:51.000000,14.0,180.0,180.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n685,Norfair,tryolabs/norfair,,image,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000000,2020-12-22 05:04:27.000000,2020-12-22 05:04:25.000000,49,5.0,13.0,881,242.0,Lightweight Python library for adding real-time 2D object tracking to any detector.,7.0,18,True,2020-12-07 18:34:32.000000,0.1.8,9.0,norfair,,,,,,,https://pypi.org/project/norfair,2020-12-07 18:34:32.000000,,223.0,223.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n686,TensorFrames,databricks/tensorframes,,distributed-ml,https://github.com/databricks/tensorframes,https://github.com/databricks/tensorframes,Apache-2.0,2016-03-04 19:25:19.000000,2020-11-13 17:47:02.000000,2019-11-15 21:43:53.000000,159,51.0,43.0,768,221.0,[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark.,16.0,18,False,2018-11-16 20:50:02.000000,0.6.0,6.0,tensorframes,,,,\"['tensorflow', 'spark']\",,,https://pypi.org/project/tensorframes,2018-05-16 14:20:28.000000,,2432.0,2432.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n687,DALEX,ModelOriented/DALEX,,interpretability,https://github.com/ModelOriented/DALEX,https://github.com/ModelOriented/DALEX,GPL-3.0,2018-02-18 03:24:12.000000,2021-01-18 22:16:26.000000,2021-01-06 20:33:02.000000,108,9.0,247.0,765,531.0,moDel Agnostic Language for Exploration and eXplanation.,16.0,18,False,2021-01-04 17:21:32.000000,1.0.0,18.0,dalex,,,,,7.0,7.0,https://pypi.org/project/dalex,2020-12-28 23:47:30.000000,,510.0,510.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n688,tffm,geffy/tffm,,tensorflow-utils,https://github.com/geffy/tffm,https://github.com/geffy/tffm,MIT,2016-05-02 17:06:07.000000,2020-05-22 21:40:58.000000,2020-05-22 21:40:57.000000,175,17.0,20.0,755,106.0,TensorFlow implementation of an arbitrary order Factorization Machine.,10.0,18,True,2018-01-27 11:43:26.000000,1.0.1,2.0,tffm,,,,['tensorflow'],11.0,10.0,https://pypi.org/project/tffm,2018-01-27 11:43:26.000000,1.0,1007.0,1007.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n689,pytorch2keras,nerox8664/pytorch2keras,,model-serialisation,https://github.com/nerox8664/pytorch2keras,https://github.com/nerox8664/pytorch2keras,MIT,2017-11-16 20:21:43.000000,2020-05-14 10:03:56.000000,2020-05-14 10:03:04.000000,113,41.0,65.0,663,277.0,PyTorch to Keras model convertor.,11.0,18,True,2020-05-14 10:03:56.000000,0.2.4,23.0,pytorch2keras,,,,,18.0,17.0,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56.000000,1.0,318.0,318.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n690,vecstack,vecxoz/vecstack,,others,https://github.com/vecxoz/vecstack,https://github.com/vecxoz/vecstack,MIT,2016-11-08 13:23:21.000000,2020-09-14 08:31:07.000000,2019-10-30 09:27:48.000000,65,,34.0,577,189.0,Python package for stacking (machine learning technique).,1.0,18,False,2019-08-12 16:09:01.000000,0.4.0,6.0,vecstack,,,,,109.0,105.0,https://pypi.org/project/vecstack,2019-08-12 16:01:22.000000,4.0,603.0,603.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n691,pyhsmm,mattjj/pyhsmm,,probabilistics,https://github.com/mattjj/pyhsmm,https://github.com/mattjj/pyhsmm,MIT,2012-03-18 17:40:13.000000,2020-09-29 20:58:26.000000,2020-08-24 17:03:59.000000,148,34.0,60.0,480,1426.0,Bayesian inference in HSMMs and HMMs.,13.0,18,True,2017-05-10 17:14:37.000000,0.1.7,8.0,pyhsmm,,,,,21.0,17.0,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37.000000,4.0,25.0,25.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n692,robustness,MadryLab/robustness,,adversarial,https://github.com/MadryLab/robustness,https://github.com/MadryLab/robustness,MIT,2019-08-21 09:26:33.000000,2020-12-01 06:11:12.000000,2020-12-01 05:49:45.000000,81,5.0,49.0,465,137.0,\"A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.\",11.0,18,True,2020-12-01 06:11:12.000000,1.2.1.post2,8.0,robustness,,,,,33.0,32.0,https://pypi.org/project/robustness,2020-08-05 04:42:24.000000,1.0,218.0,218.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n693,PyWaffle,gyli/PyWaffle,,data-viz,https://github.com/gyli/PyWaffle,https://github.com/gyli/PyWaffle,MIT,2017-11-14 20:03:47.000000,2020-07-26 23:22:17.000000,2020-07-26 23:22:13.000000,63,2.0,10.0,388,249.0,Make Waffle Charts in Python.,6.0,18,True,2020-07-26 19:16:45.000000,0.6.1,22.0,pywaffle,,,,,41.0,41.0,https://pypi.org/project/pywaffle,2020-07-26 19:16:45.000000,,637.0,637.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n694,Camphr,PKSHATechnology-Research/camphr,,nlp,https://github.com/PKSHATechnology-Research/camphr,https://github.com/PKSHATechnology-Research/camphr,Apache-2.0,2020-02-10 03:39:58.000000,2021-02-04 00:23:28.000000,2021-02-04 00:23:24.000000,16,15.0,16.0,327,1116.0,\"spaCy plugin for Transformers , Udify, ELmo, etc.\",7.0,18,True,2021-02-03 06:33:54.000000,0.8.0,38.0,camphr,,,,['spacy'],0.0,,https://pypi.org/project/camphr,2021-02-03 06:33:54.000000,0.0,294.0,294.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n695,apricot,jmschrei/apricot,,others,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12.000000,2020-09-30 20:53:48.000000,2020-09-30 20:53:44.000000,29,3.0,11.0,302,151.0,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,2.0,18,True,2020-09-28 07:19:15.000000,0.6.0,13.0,apricot-select,,,,,12.0,12.0,https://pypi.org/project/apricot-select,2020-09-28 07:19:15.000000,,321.0,321.0,,,,,,,,3.0,8.0,,,,,,,,,,,,,,,,,,,,,\n696,PyKEEN,pykeen/pykeen,,graph,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000000,2021-02-02 16:58:13.000000,2021-01-28 17:47:20.000000,50,50.0,67.0,298,2274.0,A Python library for learning and evaluating knowledge graph embeddings.,17.0,18,True,2021-01-20 11:50:48.000000,1.1.0,33.0,pykeen,,,,,1.0,,https://pypi.org/project/pykeen,2021-01-20 11:43:06.000000,1.0,102.0,111.0,,,,,,,,3.0,75.0,,,,,,,,,,,,,,,,,,,,,\n697,sk-dist,Ibotta/sk-dist,,distributed-ml,https://github.com/Ibotta/sk-dist,https://github.com/Ibotta/sk-dist,Apache-2.0,2019-08-14 21:07:17.000000,2021-01-07 17:01:27.000000,2021-01-07 17:01:23.000000,43,7.0,9.0,252,46.0,Distributed scikit-learn meta-estimators in PySpark.,6.0,18,True,2020-05-14 22:20:14.000000,0.1.9,12.0,sk-dist,,,,\"['sklearn', 'spark']\",8.0,6.0,https://pypi.org/project/sk-dist,2020-05-14 22:20:14.000000,2.0,3678.0,3678.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n698,DeepGraph,deepgraph/deepgraph,,graph,https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45.000000,2021-01-15 08:36:25.609000,2020-10-01 13:17:00.000000,33,7.0,5.0,228,160.0,Analyze Data with Pandas-based Networks. Documentation:.,2.0,18,True,2020-10-01 13:20:38.000000,0.2.3,13.0,deepgraph,conda-forge/deepgraph,,,['pandas'],1.0,1.0,https://pypi.org/project/deepgraph,2020-10-01 13:18:38.000000,,146.0,1994.0,https://anaconda.org/conda-forge/deepgraph,2021-01-15 08:36:25.609000,77624.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n699,ivis,beringresearch/ivis,,data-viz,https://github.com/beringresearch/ivis,https://github.com/beringresearch/ivis,GPL-2.0,2018-08-13 08:31:01.000000,2021-01-20 11:32:35.000000,2021-01-20 11:32:25.000000,19,4.0,41.0,221,517.0,Dimensionality reduction in very large datasets using Siamese Networks.,7.0,18,False,2021-01-06 17:09:59.000000,2.0.1,27.0,ivis,,,,['tensorflow'],14.0,14.0,https://pypi.org/project/ivis,2021-01-06 17:07:15.000000,0.0,319.0,319.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n700,FiftyOne,voxel51/fiftyone,,data-viz,https://github.com/voxel51/fiftyone,https://github.com/voxel51/fiftyone,Apache-2.0,2020-04-22 13:43:28.000000,2021-02-04 14:34:27.000000,2021-02-04 00:13:17.000000,16,123.0,203.0,200,5467.0,\"Visualize, create, and debug image and video datasets and model predictions.\",10.0,18,True,2021-01-28 21:41:51.000000,0.7.2,39.0,fiftyone,,,,\"['tensorflow', 'pytorch', 'jupyter']\",,,https://pypi.org/project/fiftyone,2021-01-28 21:41:51.000000,,298.0,298.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n701,fairness-indicators,tensorflow/fairness-indicators,,interpretability,https://github.com/tensorflow/fairness-indicators,https://github.com/tensorflow/fairness-indicators,Apache-2.0,2019-09-30 22:56:45.000000,2021-01-29 20:46:38.000000,2021-01-29 20:46:29.000000,53,15.0,5.0,176,241.0,Tensorflow's Fairness Evaluation and Visualization Toolkit.,19.0,18,True,2021-01-28 22:09:49.000000,0.27.0,13.0,fairness-indicators,,,,\"['tensorflow', 'jupyter']\",,,https://pypi.org/project/fairness-indicators,2021-01-28 22:09:49.000000,,252.0,252.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n702,Auto TS,AutoViML/Auto_TS,,time-series-data,https://github.com/AutoViML/Auto_TS,https://github.com/AutoViML/Auto_TS,Apache-2.0,2020-02-15 15:23:32.000000,2021-01-24 03:19:22.000000,2021-01-24 03:17:19.000000,35,6.0,23.0,163,230.0,\"Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of..\",5.0,18,True,2021-01-24 03:19:22.000000,0.0.35,14.0,auto-ts,,,,,,,https://pypi.org/project/auto-ts,2021-01-24 03:19:22.000000,,365.0,365.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n703,flupy,olirice/flupy,,data-pipelines,https://github.com/olirice/flupy,https://github.com/olirice/flupy,MIT,2018-01-06 16:46:04.000000,2021-01-06 12:37:41.000000,2021-01-06 12:37:33.000000,9,,7.0,152,176.0,Fluent data pipelines for python and your shell.,4.0,18,True,2021-01-06 12:37:15.000000,1.1.6,34.0,flupy,,,,,0.0,,https://pypi.org/project/flupy,2021-01-06 12:37:15.000000,0.0,2531.0,2531.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n704,ploomber,ploomber/ploomber,,data-pipelines,https://github.com/ploomber/ploomber,https://github.com/ploomber/ploomber,Apache-2.0,2020-01-20 20:13:06.000000,2021-02-04 01:50:07.000000,2021-02-04 01:49:57.000000,1,50.0,232.0,123,1552.0,\"A convention over configuration workflow orchestrator. Develop locally (Jupyter or your favorite editor), deploy to..\",4.0,18,False,2021-01-09 00:47:02.000000,0.9.1,34.0,ploomber,,,,,13.0,13.0,https://pypi.org/project/ploomber,2021-02-02 01:53:09.000000,0.0,283.0,283.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n705,DeepMind Lab,deepmind/lab,,reinforcement-learning,https://github.com/deepmind/lab,https://github.com/deepmind/lab,GPL-2.0,2016-11-30 13:41:26.000000,2021-01-29 16:39:16.000000,2021-01-24 11:42:21.000000,1286,37.0,153.0,6393,477.0,A customisable 3D platform for agent-based AI research.,7.0,17,False,2020-12-07 11:26:33.000000,release-2020-12-07,8.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n706,Spotlight,maciejkula/spotlight,,recommender-systems,https://github.com/maciejkula/spotlight,https://github.com/maciejkula/spotlight,MIT,2017-06-25 18:52:19.000000,2020-11-15 08:21:28.000000,2020-02-09 21:03:48.000000,372,67.0,48.0,2400,299.0,Deep recommender models using PyTorch.,11.0,17,True,2019-09-08 10:19:53.000000,0.1.6,7.0,,maciejkula/spotlight,,,['pytorch'],,,,,,,135.0,https://anaconda.org/maciejkula/spotlight,2018-05-27 18:32:12.235000,5959.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n707,LIT,PAIR-code/lit,,interpretability,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000000,2021-02-04 02:47:25.000000,2020-11-17 00:43:10.000000,235,39.0,29.0,2365,,The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and..,10.0,17,True,2020-11-17 00:53:31.000000,0.2,4.0,lit-nlp,,,,,1.0,1.0,https://pypi.org/project/lit-nlp,2020-11-17 00:52:37.000000,,191.0,191.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n708,PaddleDetection,PaddlePaddle/PaddleDetection,,image,https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000000,2021-02-04 14:32:37.000000,2021-02-02 02:23:00.000000,636,335.0,859.0,2259,716.0,Object detection and instance segmentation toolkit based on PaddlePaddle.,44.0,17,True,2019-11-27 05:15:38.000000,0.1.0,1.0,,,,,['paddle'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n709,Mara Pipelines,mara/mara-pipelines,,data-pipelines,https://github.com/mara/mara-pipelines,https://github.com/mara/mara-pipelines,MIT,2018-03-31 20:37:22.000000,2021-01-23 23:22:28.000000,2021-01-23 23:22:27.000000,76,6.0,12.0,1616,131.0,\"A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow.\",16.0,17,True,2020-07-31 19:31:29.000000,3.1.1,7.0,mara-pipelines,,,,,7.0,7.0,https://pypi.org/project/mara-pipelines,2020-07-31 19:26:16.000000,,41.0,41.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n710,riko,nerevu/riko,,data-pipelines,https://github.com/nerevu/riko,https://github.com/nerevu/riko,MIT,2016-06-02 12:22:51.000000,2020-08-14 18:29:28.000000,2020-08-14 16:47:45.000000,72,22.0,8.0,1556,1257.0,A Python stream processing engine modeled after Yahoo! Pipes.,18.0,17,True,2020-08-14 18:29:28.000000,0.66.0,58.0,riko,,,,,1.0,,https://pypi.org/project/riko,2020-08-14 18:29:28.000000,1.0,87.0,87.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n711,NeuroNER,Franck-Dernoncourt/NeuroNER,,nlp,https://github.com/Franck-Dernoncourt/NeuroNER,https://github.com/Franck-Dernoncourt/NeuroNER,MIT,2017-03-07 01:24:15.000000,2020-11-13 18:07:48.000000,2019-10-02 23:26:11.000000,440,78.0,67.0,1533,132.0,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,7.0,17,False,2019-10-02 23:30:15.000000,1.0.8,7.0,pyneuroner,,,,,8.0,8.0,https://pypi.org/project/pyneuroner,2019-10-02 23:30:15.000000,,98.0,98.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n712,BlazingSQL,BlazingDB/blazingsql,,gpu-utilities,https://github.com/BlazingDB/blazingsql,https://github.com/BlazingDB/blazingsql,Apache-2.0,2018-09-24 18:25:45.000000,2021-02-04 14:48:09.000000,2021-02-04 14:48:07.000000,132,242.0,336.0,1398,,\"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.\",39.0,17,True,2020-12-14 17:43:48.000000,0.17.0,15.0,,blazingsql/blazingsql-protocol,,,,,,,,,,53.0,https://anaconda.org/blazingsql/blazingsql-protocol,2019-11-11 19:54:17.621000,916.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n713,River,online-ml/river,,others,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000000,2021-02-04 13:22:20.000000,2021-02-01 16:55:20.000000,169,39.0,244.0,1357,2996.0,Online machine learning in Python.,58.0,17,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n714,Antialiased CNNs,adobe/antialiased-cnns,,pytorch-utils,https://github.com/adobe/antialiased-cnns,https://github.com/adobe/antialiased-cnns,CC BY-NC-SA 4.0,2019-05-14 20:51:25.000000,2020-10-23 22:45:52.000000,2020-10-22 19:40:07.000000,176,9.0,29.0,1343,238.0,pip install antialiased-cnns to improve stability and accuracy.,6.0,17,False,2020-10-23 22:45:52.000000,0.3,6.0,antialiased-cnns,,,,['pytorch'],,,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49.000000,,833.0,833.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n715,Advisor,tobegit3hub/advisor,,hyperopt,https://github.com/tobegit3hub/advisor,https://github.com/tobegit3hub/advisor,Apache-2.0,2017-09-14 03:50:33.000000,2019-11-11 07:09:57.869705,2019-11-11 06:59:31.000000,240,19.0,13.0,1337,165.0,Open-source implementation of Google Vizier for hyper parameters tuning.,11.0,17,False,2018-10-18 02:54:09.000000,0.1.6,4.0,advisor,,tobegit3hub/advisor,,,,,https://pypi.org/project/advisor,2018-10-18 02:54:09.000000,,14.0,51.0,,,,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1549.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n716,Backtesting.py,kernc/backtesting.py,,financial-data,https://github.com/kernc/backtesting.py,https://github.com/kernc/backtesting.py,AGPL-3.0,2019-01-02 03:11:32.000000,2021-01-25 00:12:30.000000,2021-01-25 00:04:10.000000,232,20.0,168.0,969,218.0,Backtest trading strategies in Python.,8.0,17,False,2017-07-22 02:00:06.000000,0.0.1,1.0,backtesting,,,,,,,https://pypi.org/project/backtesting,2017-07-22 02:00:06.000000,,1793.0,1793.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n717,Paddle Graph Learning,PaddlePaddle/PGL,,graph,https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28.000000,2021-02-02 13:18:18.000000,2021-02-02 13:13:43.000000,117,15.0,28.0,891,,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,19.0,17,True,2021-02-02 13:17:55.000000,2.1.1,6.0,pgl,,,,['paddle'],11.0,9.0,https://pypi.org/project/pgl,2020-11-20 06:23:47.000000,2.0,136.0,136.0,,,,,,,,3.0,,,,,,,,,-2.0,,,,,,,,,,,,,\n718,Fiber,uber/fiber,,distributed-ml,https://github.com/uber/fiber,https://github.com/uber/fiber,Apache-2.0,2020-01-07 18:16:24.000000,2020-10-06 14:39:41.000000,2020-10-06 14:39:12.000000,89,13.0,5.0,840,60.0,Distributed Computing for AI Made Simple.,5.0,17,True,2020-07-09 03:28:28.000000,0.2.1,6.0,fiber,,,,,20.0,19.0,https://pypi.org/project/fiber,2020-07-09 03:28:28.000000,1.0,711.0,711.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n719,advertorch,BorealisAI/advertorch,,adversarial,https://github.com/BorealisAI/advertorch,https://github.com/BorealisAI/advertorch,GPL-3.0,2018-11-29 22:17:33.000000,2020-09-25 15:01:47.000000,2020-06-15 01:16:18.000000,125,13.0,28.0,802,270.0,A Toolbox for Adversarial Robustness Research.,16.0,17,False,2020-06-15 01:20:07.000000,0.2.3,10.0,advertorch,,,,['pytorch'],32.0,29.0,https://pypi.org/project/advertorch,2020-06-15 01:20:07.000000,3.0,531.0,531.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n720,Saliency,PAIR-code/saliency,,tensorflow-utils,https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35.000000,2021-02-01 16:24:11.000000,2020-10-01 22:54:59.000000,136,11.0,10.0,632,64.0,\"TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques.\",12.0,17,True,2019-09-26 17:59:23.000000,0.0.5,5.0,saliency,,,,['tensorflow'],13.0,13.0,https://pypi.org/project/saliency,2019-09-26 17:59:23.000000,,99.0,99.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n721,sklearn-deap,rsteca/sklearn-deap,,hyperopt,https://github.com/rsteca/sklearn-deap,https://github.com/rsteca/sklearn-deap,MIT,2015-10-28 22:52:34.000000,2019-12-03 13:29:06.000000,2019-12-03 13:29:04.000000,107,21.0,31.0,622,98.0,Use evolutionary algorithms instead of gridsearch in scikit-learn.,20.0,17,False,2019-07-15 09:24:09.000000,0.2.4,13.0,sklearn-deap,,,,['sklearn'],26.0,24.0,https://pypi.org/project/sklearn-deap,2019-07-15 09:24:09.000000,2.0,206.0,206.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n722,ADTK,arundo/adtk,,time-series-data,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22.000000,2020-04-29 19:54:40.000000,2020-04-17 02:27:44.000000,76,22.0,30.0,594,78.0,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,11.0,17,True,2020-04-17 02:18:00.000000,0.6.2,13.0,adtk,,,,,,,https://pypi.org/project/adtk,2020-04-17 02:18:00.000000,,20725.0,20725.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n723,Torchbearer,pytorchbearer/torchbearer,,ml-frameworks,https://github.com/pytorchbearer/torchbearer,https://github.com/pytorchbearer/torchbearer,MIT,2018-03-12 16:30:42.000000,2020-02-17 21:18:06.000000,2020-02-17 21:18:01.000000,62,8.0,237.0,581,427.0,torchbearer: A model fitting library for PyTorch.,13.0,17,True,2020-01-31 14:07:22.000000,0.5.3,24.0,torchbearer,,,,['pytorch'],41.0,38.0,https://pypi.org/project/torchbearer,2020-01-31 14:05:56.000000,3.0,114.0,114.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n724,Dragonfly,dragonfly/dragonfly,,hyperopt,https://github.com/dragonfly/dragonfly,https://github.com/dragonfly/dragonfly,MIT,2018-04-20 22:19:50.000000,2020-07-26 17:44:31.000000,2020-07-03 18:01:17.000000,72,21.0,17.0,557,397.0,An open source python library for scalable Bayesian optimisation.,12.0,17,True,2020-07-03 18:05:12.000000,0.1.6,9.0,dragonfly-opt,,,,,2.0,,https://pypi.org/project/dragonfly-opt,2020-07-03 18:05:12.000000,2.0,3513.0,3513.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n725,RLax,deepmind/rlax,,reinforcement-learning,https://github.com/deepmind/rlax,https://github.com/deepmind/rlax,Apache-2.0,2020-02-18 07:14:59.000000,2021-02-03 23:50:16.000000,2021-01-21 15:43:12.000000,42,3.0,3.0,551,102.0,A library of reinforcement learning building blocks in JAX.,10.0,17,True,2020-02-19 23:01:30.000000,0.1.0,3.0,rlax,,,,['jax'],11.0,11.0,https://pypi.org/project/rlax,2020-02-19 23:01:30.000000,,136.0,136.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n726,TF Compression,tensorflow/compression,,tensorflow-utils,https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19.000000,2021-02-03 23:30:33.000000,2021-02-03 23:29:23.000000,152,1.0,56.0,434,148.0,Data compression in TensorFlow.,9.0,17,True,2021-01-06 01:50:06.000000,2.0b2,8.0,tensorflow-compression,,,,['tensorflow'],1.0,,https://pypi.org/project/tensorflow-compression,2021-01-06 01:36:13.000000,1.0,257.0,257.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n727,atspy,firmai/atspy,,time-series-data,https://github.com/firmai/atspy,https://github.com/firmai/atspy,MIT,2020-01-28 05:00:10.000000,2020-12-01 13:53:03.000000,2020-11-12 16:15:26.000000,64,16.0,2.0,333,97.0,AtsPy: Automated Time Series Models in Python (by @firmai).,5.0,17,True,2020-11-12 16:10:48.000000,zen,39.0,atspy,,,,,3.0,3.0,https://pypi.org/project/atspy,2020-04-24 18:16:15.000000,,208.0,208.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n728,tick,X-DataInitiative/tick,,time-series-data,https://github.com/X-DataInitiative/tick,https://github.com/X-DataInitiative/tick,BSD-3-Clause,2016-12-01 10:59:08.000000,2020-08-11 12:36:43.000000,2020-06-15 12:01:36.000000,74,55.0,159.0,322,413.0,\"Module for statistical learning, with a particular emphasis on time-dependent modelling.\",16.0,17,True,2019-09-11 11:25:15.000000,0.6,23.0,tick,,,,,31.0,30.0,https://pypi.org/project/tick,2020-05-24 22:01:17.000000,1.0,299.0,302.0,,,,,,,,3.0,155.0,,,,,,,,,,,,,,,,,,,,,\n729,Baal,ElementAI/baal,,probabilistics,https://github.com/ElementAI/baal,https://github.com/ElementAI/baal,Apache-2.0,2019-09-30 20:16:26.000000,2021-02-04 14:46:53.000000,2021-02-04 14:46:51.000000,26,12.0,26.0,319,98.0,Using approximate bayesian posteriors in deep nets for active learning.,8.0,17,True,2020-11-03 21:14:13.000000,1.2.1,7.0,baal,,,,,6.0,6.0,https://pypi.org/project/baal,2020-11-03 21:07:08.000000,,127.0,127.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n730,Orbit,uber/orbit,,probabilistics,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000000,2021-02-03 22:08:53.000000,2021-02-03 22:08:51.000000,16,22.0,150.0,315,579.0,Bayesian forecasting with object-oriented design and probabilistic models under the hood.,7.0,17,True,2020-11-15 23:46:41.000000,1.0.9,9.0,orbit-ml,,,,,4.0,4.0,https://pypi.org/project/orbit-ml,2020-11-15 23:46:41.000000,,93.0,93.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n731,DESlib,scikit-learn-contrib/DESlib,,sklearn-utils,https://github.com/scikit-learn-contrib/DESlib,https://github.com/scikit-learn-contrib/DESlib,BSD-3-Clause,2017-12-08 22:49:49.000000,2021-02-01 23:47:01.000000,2021-02-01 23:46:55.000000,66,13.0,122.0,299,262.0,A Python library for dynamic classifier and ensemble selection.,12.0,17,True,,,3.0,deslib,,,,['sklearn'],13.0,13.0,https://pypi.org/project/deslib,2019-02-18 16:47:48.000000,,91.0,91.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n732,Sherpa,sherpa-ai/sherpa,,hyperopt,https://github.com/sherpa-ai/sherpa,https://github.com/sherpa-ai/sherpa,GPL-3.0,2018-05-16 21:41:54.000000,2020-10-18 07:57:50.000000,2020-10-18 07:57:48.000000,43,11.0,41.0,281,823.0,\"Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.\",43.0,17,False,2020-07-31 05:29:09.000000,1.0.7,8.0,parameter-sherpa,,,,,8.0,7.0,https://pypi.org/project/parameter-sherpa,2019-11-23 21:32:27.000000,1.0,395.0,395.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n733,pandas-ml,pandas-ml/pandas-ml,,others,https://github.com/pandas-ml/pandas-ml,https://github.com/pandas-ml/pandas-ml,BSD-3-Clause,2015-02-21 03:14:04.000000,2020-08-14 12:29:33.000000,2019-03-05 01:36:55.000000,57,24.0,17.0,266,153.0,\"pandas, scikit-learn, xgboost and seaborn integration.\",4.0,17,False,2019-03-05 01:36:12.000000,0.6.1,9.0,pandas-ml,,,,\"['sklearn', 'pandas']\",,,https://pypi.org/project/pandas-ml,2019-03-05 01:35:23.000000,,1943.0,1943.0,,,,,,,,3.0,5.0,,,,,,,,,,,,,,,,,,,,,\n734,somoclu,peterwittek/somoclu,,distributed-ml,https://github.com/peterwittek/somoclu,https://github.com/peterwittek/somoclu,MIT,2013-01-16 06:33:16.000000,2020-10-13 18:39:07.609000,2020-07-24 13:00:47.000000,56,26.0,103.0,222,590.0,\"Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters.\",17.0,17,True,2018-03-03 02:44:37.000000,1.7.5,17.0,somoclu,conda-forge/somoclu,,,,2.0,,https://pypi.org/project/somoclu,2020-04-25 05:33:32.000000,2.0,407.0,1377.0,https://anaconda.org/conda-forge/somoclu,2020-10-13 18:39:07.609000,39952.0,,,,,3.0,1443.0,,,,,,,,,,,,,,,,,,,,,\n735,skift,shaypal5/skift,,nlp,https://github.com/shaypal5/skift,https://github.com/shaypal5/skift,MIT,2018-02-03 11:37:21.000000,2021-01-19 11:35:21.000000,2021-01-19 11:35:09.000000,22,2.0,8.0,210,127.0,scikit-learn wrappers for Python fastText.,6.0,17,True,2020-08-04 07:56:43.000000,0.0.19,15.0,skift,,,,['sklearn'],8.0,8.0,https://pypi.org/project/skift,2020-08-27 15:01:05.000000,,838.0,838.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n736,ExplainX.ai,explainX/explainx,,interpretability,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15.000000,2021-02-02 09:04:19.000000,2021-02-02 09:03:57.000000,29,9.0,13.0,176,184.0,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,4.0,17,True,2020-10-23 17:30:47.000000,2.403,53.0,explainx,,,,,,,https://pypi.org/project/explainx,2020-12-07 22:26:30.000000,,394.0,394.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n737,skggm,skggm/skggm,,sklearn-utils,https://github.com/skggm/skggm,https://github.com/skggm/skggm,MIT,2016-06-11 18:35:56.000000,2020-12-24 08:36:00.000000,2020-12-24 05:43:15.000000,31,27.0,47.0,176,691.0,Scikit-learn compatible estimation of general graphical models.,5.0,17,True,2018-09-12 01:12:49.000000,0.2.8,6.0,skggm,,,,['sklearn'],7.0,6.0,https://pypi.org/project/skggm,2018-09-12 01:12:49.000000,1.0,116.0,116.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n738,BatchFlow,analysiscenter/batchflow,,data-pipelines,https://github.com/analysiscenter/batchflow,https://github.com/analysiscenter/batchflow,Apache-2.0,2017-03-13 14:22:53.000000,2021-02-04 11:28:41.000000,2021-02-04 10:06:11.000000,35,52.0,53.0,154,4347.0,BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and..,28.0,17,True,2019-08-23 12:21:50.000000,0.3.0,3.0,batchflow,,,,,,,https://pypi.org/project/batchflow,2019-08-23 12:21:50.000000,,11.0,11.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n739,Larq Compute Engine,larq/compute-engine,,model-serialisation,https://github.com/larq/compute-engine,https://github.com/larq/compute-engine,Apache-2.0,2019-08-29 15:02:43.000000,2021-02-01 15:49:12.000000,2021-01-30 11:49:41.000000,21,21.0,90.0,127,450.0,Highly optimized inference engine for Binarized Neural Networks.,14.0,17,False,2021-01-30 03:07:11.000000,0.5.0,12.0,larq-compute-engine,,,,,1.0,1.0,https://pypi.org/project/larq-compute-engine,2021-01-30 03:07:11.000000,,234.0,246.0,,,,,,,,3.0,152.0,,,,,,,,,,,,,,,,,,,,,\n740,nvidia-ml-py3,nicolargo/nvidia-ml-py3,,gpu-utilities,https://github.com/nicolargo/nvidia-ml-py3,https://github.com/nicolargo/nvidia-ml-py3,BSD-3-Clause,2017-06-03 07:47:03.000000,2019-03-06 20:41:10.000000,2019-03-06 20:41:09.000000,14,2.0,,61,5.0,Python 3 Bindings for the NVIDIA Management Library.,2.0,17,False,,,1.0,nvidia-ml-py3,,,,,2606.0,2594.0,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46.000000,12.0,291447.0,291447.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n741,ReAgent,facebookresearch/ReAgent,,reinforcement-learning,https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000000,2021-02-03 23:00:21.000000,2021-02-02 22:54:20.000000,378,20.0,74.0,2797,1082.0,\"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).\",86.0,16,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n742,automl-gs,minimaxir/automl-gs,,hyperopt,https://github.com/minimaxir/automl-gs,https://github.com/minimaxir/automl-gs,MIT,2019-01-13 18:57:44.000000,2019-10-22 11:20:40.000000,2019-04-05 06:48:14.000000,157,26.0,6.0,1712,102.0,\"Provide an input CSV and a target field to predict, generate a model + code to run it.\",7.0,16,False,2019-04-05 06:51:04.000000,0.2.1,2.0,automl_gs,,,,,,,https://pypi.org/project/automl_gs,2019-04-05 06:47:54.000000,,28.0,28.0,,,,,,,,3.0,21.0,,,,,,,,,,,,,,,,,,,,,\n743,Xcessiv,reiinakano/xcessiv,,hyperopt,https://github.com/reiinakano/xcessiv,https://github.com/reiinakano/xcessiv,Apache-2.0,2017-03-07 18:18:25.000000,2018-06-06 22:23:37.000000,2017-08-21 00:51:15.000000,109,22.0,13.0,1258,316.0,\"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.\",6.0,16,False,2017-08-21 00:53:25.000000,0.5.1,34.0,xcessiv,,,,,2.0,1.0,https://pypi.org/project/xcessiv,2017-08-21 00:49:41.000000,1.0,21.0,21.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n744,Botflow,kkyon/botflow,,data-pipelines,https://github.com/kkyon/botflow,https://github.com/kkyon/botflow,BSD-3-Clause,2018-08-20 03:13:31.000000,2020-12-31 09:03:22.000000,2019-05-23 14:40:50.000000,98,2.0,2.0,1158,192.0,\"Python Fast Dataflow programming framework for Data pipeline work( Web Crawler,Machine Learning,Quantitative..\",11.0,16,False,,,5.0,botflow,,,,,1.0,1.0,https://pypi.org/project/botflow,2018-09-14 14:38:32.000000,,28.0,28.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n745,sklearn-porter,nok/sklearn-porter,,model-serialisation,https://github.com/nok/sklearn-porter,https://github.com/nok/sklearn-porter,MIT,2016-06-22 22:21:34.000000,2020-10-19 07:28:00.000000,2019-12-18 13:31:50.000000,122,39.0,29.0,955,699.0,\"Transpile trained scikit-learn estimators to C, Java, JavaScript and others.\",11.0,16,False,2019-12-18 13:39:19.000000,0.7.4,20.0,sklearn-porter,,,,['sklearn'],1.0,,https://pypi.org/project/sklearn-porter,2019-12-18 13:39:19.000000,1.0,214.0,214.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n746,CrypTen,facebookresearch/CrypTen,,privacy-ml,https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000000,2021-02-02 22:40:57.000000,2021-01-20 14:56:16.000000,91,15.0,31.0,709,228.0,A framework for Privacy Preserving Machine Learning.,23.0,16,True,2020-04-21 13:59:37.000000,0.1,1.0,crypten,,,,['pytorch'],5.0,5.0,https://pypi.org/project/crypten,2020-02-05 18:53:03.000000,,79.0,79.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n747,cuGraph,rapidsai/cugraph,,gpu-utilities,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000000,2021-02-04 06:20:43.000000,2021-02-04 00:04:24.000000,136,95.0,480.0,641,,cuGraph - RAPIDS Graph Analytics Library.,58.0,16,True,2020-12-10 21:54:44.000000,0.17.0,6.0,cugraph,,,,,0.0,,https://pypi.org/project/cugraph,2019-04-04 15:31:02.000000,0.0,25.0,25.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n748,HyperparameterHunter,HunterMcGushion/hyperparameter_hunter,,hyperopt,https://github.com/HunterMcGushion/hyperparameter_hunter,https://github.com/HunterMcGushion/hyperparameter_hunter,MIT,2018-06-01 23:17:00.000000,2021-01-20 03:52:41.000000,2021-01-20 03:52:40.000000,81,36.0,84.0,637,1096.0,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries.,4.0,16,True,2019-08-06 09:09:45.000000,3.0.0,16.0,hyperparameter-hunter,,,,,1.0,,https://pypi.org/project/hyperparameter-hunter,2019-08-06 06:01:58.000000,1.0,40.0,49.0,,,,,,,,3.0,268.0,,,,,,,,,,,,,,,,,,,,,\n749,SpeedTorch,Santosh-Gupta/SpeedTorch,,gpu-utilities,https://github.com/Santosh-Gupta/SpeedTorch,https://github.com/Santosh-Gupta/SpeedTorch,MIT,2019-09-07 18:57:52.000000,2020-02-21 23:13:29.000000,2020-02-21 23:13:28.000000,37,3.0,2.0,612,170.0,Library for faster pinned CPU - GPU transfer in Pytorch.,3.0,16,True,2020-01-06 05:27:17.000000,0.1.6,14.0,SpeedTorch,,,,['pytorch'],5.0,3.0,https://pypi.org/project/SpeedTorch,2020-01-06 05:27:17.000000,2.0,55.0,55.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n750,ThunderGBM,Xtra-Computing/thundergbm,,ml-frameworks,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08.000000,2021-01-05 04:22:17.000000,2021-01-05 04:22:15.000000,70,20.0,26.0,579,606.0,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,10.0,16,True,2020-05-01 23:16:25.000000,0.3.16,24.0,thundergbm,,,,,,,https://pypi.org/project/thundergbm,2020-05-01 23:16:25.000000,,33.0,33.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n751,XAI,EthicalML/xai,,interpretability,https://github.com/EthicalML/xai,https://github.com/EthicalML/xai,MIT,2019-01-11 20:00:09.000000,2019-10-05 10:34:58.000000,2019-10-05 10:34:50.000000,82,4.0,3.0,568,83.0,XAI - An eXplainability toolbox for machine learning.,2.0,16,False,2019-01-13 21:24:01.000000,0.0.4,4.0,xai,,,,,16.0,10.0,https://pypi.org/project/xai,2019-01-13 21:24:01.000000,6.0,449.0,449.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n752,SKLL,EducationalTestingService/skll,,ml-experiments,https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,BSD-1-Clause,2013-08-02 14:31:46.000000,2021-02-03 22:32:05.000000,2021-02-03 21:20:44.000000,62,44.0,329.0,518,,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,34.0,16,False,2020-03-13 17:22:26.000000,2.1,63.0,skll,,,,['sklearn'],45.0,28.0,https://pypi.org/project/skll,2020-03-13 16:23:35.000000,17.0,129.0,129.0,,,,,,,,3.0,10.0,,,,,,,,,,,,,,,,,,,,,\n753,Tensor Sensor,parrt/tensor-sensor,,pytorch-utils,https://github.com/parrt/tensor-sensor,https://github.com/parrt/tensor-sensor,MIT,2020-08-28 22:54:04.000000,2021-01-07 00:40:37.000000,2021-01-07 00:40:31.000000,24,4.0,12.0,516,155.0,The goal of this library is to generate more helpful exception messages for numpy/pytorch matrix algebra expressions.,2.0,16,True,2020-12-03 20:46:15.000000,0.1.1,33.0,tensor-sensor,,,,['pytorch'],1.0,1.0,https://pypi.org/project/tensor-sensor,2020-12-03 20:40:56.000000,,102.0,102.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n754,Auto Tune Models,HDI-Project/ATM,,hyperopt,https://github.com/HDI-Project/ATM,https://github.com/HDI-Project/ATM,MIT,2016-10-14 18:03:00.000000,2020-02-21 17:44:07.000000,2020-02-21 17:40:58.000000,123,17.0,71.0,504,775.0,\"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).\",16.0,16,True,2019-07-30 09:28:26.000000,0.2.2,13.0,atm,,,,,6.0,6.0,https://pypi.org/project/atm,2019-06-24 13:31:28.000000,,35.0,35.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n755,Performer Pytorch,lucidrains/performer-pytorch,,pytorch-utils,https://github.com/lucidrains/performer-pytorch,https://github.com/lucidrains/performer-pytorch,MIT,2020-10-03 03:41:36.000000,2021-01-17 01:23:12.000000,2021-01-17 01:22:36.000000,63,17.0,32.0,490,,\"An implementation of Performer, a linear attention-based transformer, in Pytorch.\",4.0,16,True,2021-01-17 01:23:12.000000,0.15.0,61.0,performer-pytorch,,,,['pytorch'],9.0,9.0,https://pypi.org/project/performer-pytorch,2021-01-17 01:23:12.000000,,642.0,642.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n756,DiCE,interpretml/DiCE,,interpretability,https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000000,2021-02-04 07:57:44.000000,2021-01-21 05:53:52.000000,65,13.0,18.0,448,289.0,Generate Diverse Counterfactual Explanations for any machine learning model.,9.0,16,True,2020-09-22 06:31:10.000000,0.4,2.0,dice-ml,,,,\"['tensorflow', 'pytorch']\",,,https://pypi.org/project/dice-ml,2020-09-22 06:57:33.000000,,146.0,146.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n757,tcav,tensorflow/tcav,,interpretability,https://github.com/tensorflow/tcav,https://github.com/tensorflow/tcav,Apache-2.0,2018-07-03 17:45:35.000000,2021-01-11 22:12:58.000000,2020-07-14 17:14:43.000000,97,2.0,40.0,434,144.0,Code for the TCAV ML interpretability project.,16.0,16,True,2019-06-10 18:29:51.000000,0.2.1,3.0,tcav,,,,['tensorflow'],7.0,6.0,https://pypi.org/project/tcav,2019-06-10 18:29:51.000000,1.0,33.0,33.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n758,kglib,graknlabs/kglib,,graph,https://github.com/graknlabs/kglib,https://github.com/graknlabs/kglib,Apache-2.0,2018-09-16 16:46:48.000000,2021-01-15 11:17:51.000000,2021-01-15 11:17:51.000000,71,10.0,49.0,389,487.0,Grakn Knowledge Graph Library (ML R&D).,7.0,16,True,2020-08-19 15:32:49.000000,0.2.2,7.0,grakn-kglib,,,,,,,https://pypi.org/project/grakn-kglib,2020-08-19 15:39:10.000000,,44.0,52.0,,,,,,,,3.0,206.0,,,,,,,,,,,,,,,,,,,,,\n759,tfdeploy,riga/tfdeploy,,model-serialisation,https://github.com/riga/tfdeploy,https://github.com/riga/tfdeploy,BSD-3-Clause,2016-03-07 13:08:21.000000,2021-01-08 09:52:54.000000,2021-01-08 09:52:49.000000,38,10.0,23.0,346,170.0,Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.,4.0,16,True,2017-03-30 10:51:26.000000,0.4.2,22.0,tfdeploy,,,,['tensorflow'],2.0,,https://pypi.org/project/tfdeploy,2017-03-30 10:51:26.000000,2.0,23.0,23.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n760,pdvega,altair-viz/pdvega,,data-viz,https://github.com/altair-viz/pdvega,https://github.com/altair-viz/pdvega,MIT,2018-01-11 21:30:27.000000,2019-03-29 16:09:14.000000,2019-03-29 16:09:13.000000,28,16.0,10.0,340,177.0,Interactive plotting for Pandas using Vega-Lite.,9.0,16,False,,,1.0,pdvega,,,,,49.0,47.0,https://pypi.org/project/pdvega,2018-02-01 04:56:43.000000,2.0,55.0,55.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n761,Sematch,gsi-upm/sematch,,graph,https://github.com/gsi-upm/sematch,https://github.com/gsi-upm/sematch,Apache-2.0,2012-11-30 11:11:53.000000,2020-11-05 21:20:52.000000,2019-03-27 03:17:24.000000,98,14.0,19.0,338,122.0,semantic similarity framework for knowledge graph.,5.0,16,False,2017-04-17 10:56:52.000000,1.0.4,5.0,sematch,,,,,29.0,26.0,https://pypi.org/project/sematch,2017-04-17 10:56:52.000000,3.0,30.0,30.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n762,pytorch_geometric_temporal,benedekrozemberczki/pytorch_geometric_temporal,,graph,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,MIT,2020-06-27 01:11:33.000000,2021-01-14 18:53:52.000000,2021-01-14 18:46:30.000000,38,1.0,16.0,338,794.0,A Temporal Extension Library for PyTorch Geometric.,3.0,16,True,2021-01-14 18:53:52.000000,_00012,12.0,torch-geometric-temporal,,,,['pytorch'],,,https://pypi.org/project/torch-geometric-temporal,2021-01-14 18:50:08.000000,,95.0,95.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n763,datmo,datmo/datmo,,ml-experiments,https://github.com/datmo/datmo,https://github.com/datmo/datmo,MIT,2017-11-03 05:46:43.000000,2019-11-29 00:48:45.000000,2019-11-29 00:48:44.000000,28,42.0,149.0,334,1051.0,Open source production model management tool for data scientists.,6.0,16,False,2018-12-07 06:01:12.000000,0.0.40,41.0,datmo,,,,,5.0,5.0,https://pypi.org/project/datmo,2018-12-07 06:16:42.000000,,45.0,45.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n764,Case Recommender,caserec/CaseRecommender,,recommender-systems,https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39.000000,2020-05-26 22:44:05.000000,2020-05-26 22:44:05.000000,66,6.0,16.0,315,201.0,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems.,10.0,16,True,2019-08-20 13:38:02.000000,1.1.0,40.0,caserecommender,,,,['sklearn'],6.0,6.0,https://pypi.org/project/caserecommender,2019-08-20 13:42:28.000000,,70.0,70.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n765,Vulkan Kompute,EthicalML/vulkan-kompute,,gpu-utilities,https://github.com/EthicalML/vulkan-kompute,https://github.com/EthicalML/vulkan-kompute,Apache-2.0,2020-07-29 05:23:33.000000,2021-01-31 12:01:30.000000,2021-01-31 12:00:00.000000,19,43.0,51.0,299,556.0,\"General purpose GPU compute framework for cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast,..\",9.0,16,True,2021-01-31 12:01:30.000000,0.6.0,10.0,kp,,,,,1.0,1.0,https://pypi.org/project/kp,2021-01-31 11:52:26.000000,,69.0,73.0,,,,,,,,3.0,29.0,,,,,,,,,,,,,,,,,,,,,\n766,LOFO,aerdem4/lofo-importance,,interpretability,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46.000000,2021-01-27 13:57:42.000000,2020-07-02 11:49:52.000000,40,1.0,10.0,298,24.0,Leave One Feature Out Importance.,3.0,16,True,2020-07-02 11:44:57.000000,0.2.6,9.0,lofo-importance,,,,,3.0,3.0,https://pypi.org/project/lofo-importance,2020-07-02 11:44:57.000000,,130.0,130.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n767,Headliner,as-ideas/headliner,,nlp,https://github.com/as-ideas/headliner,https://github.com/as-ideas/headliner,MIT,2019-09-30 11:33:28.000000,2021-01-29 12:51:10.000000,2020-02-14 09:03:27.000000,37,1.0,13.0,219,276.0,Easy training and deployment of seq2seq models.,2.0,16,True,2020-01-24 09:06:29.000000,1.0.2,30.0,headliner,,,,,4.0,3.0,https://pypi.org/project/headliner,2020-01-24 09:06:29.000000,1.0,87.0,87.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n768,Muda,bmcfee/muda,,audio,https://github.com/bmcfee/muda,https://github.com/bmcfee/muda,ISC,2014-11-07 21:21:22.000000,2020-09-01 19:21:10.000000,2020-07-20 20:00:17.000000,31,5.0,44.0,175,291.0,A library for augmenting annotated audio data.,6.0,16,True,2019-11-15 15:46:21.000000,0.4.1,11.0,muda,,,,,9.0,8.0,https://pypi.org/project/muda,2019-11-15 15:46:21.000000,1.0,65.0,65.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n769,elegy,poets-ai/elegy,,ml-frameworks,https://github.com/poets-ai/elegy,https://github.com/poets-ai/elegy,Apache-2.0,2020-06-30 14:00:37.000000,2021-02-04 07:50:32.000000,2021-02-03 17:48:10.000000,11,20.0,35.0,157,273.0,Elegy is a framework-agnostic Trainer interface for the Jax ecosystem.,13.0,16,True,2021-02-03 17:46:45.000000,0.4.1,17.0,elegy,,,,\"['tensorflow', 'jax']\",,,https://pypi.org/project/elegy,2021-02-03 17:45:01.000000,,95.0,95.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n770,model-card-toolkit,tensorflow/model-card-toolkit,,interpretability,https://github.com/tensorflow/model-card-toolkit,https://github.com/tensorflow/model-card-toolkit,Apache-2.0,2020-07-24 16:48:58.000000,2021-02-04 07:25:33.000000,2021-02-03 18:45:36.000000,24,9.0,2.0,156,93.0,a tool that leverages rich metadata and lineage information in MLMD to build a model card.,7.0,16,True,2021-01-27 22:23:56.000000,0.1.2,3.0,model-card-toolkit,,,,,1.0,1.0,https://pypi.org/project/model-card-toolkit,2021-01-27 22:00:16.000000,,121.0,121.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n771,imodels,csinva/imodels,,interpretability,https://github.com/csinva/imodels,https://github.com/csinva/imodels,MIT,2019-07-04 15:38:48.000000,2021-01-28 04:45:03.000000,2021-01-28 00:53:26.000000,14,,8.0,147,196.0,\"Interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible).\",3.0,16,False,2021-01-05 20:25:35.000000,0.2.6,6.0,imodels,,,,,6.0,6.0,https://pypi.org/project/imodels,2020-12-30 00:06:42.000000,,30.0,30.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n772,steppy,minerva-ml/steppy,,ml-experiments,https://github.com/minerva-ml/steppy,https://github.com/minerva-ml/steppy,MIT,2018-01-15 09:40:49.000000,2018-11-23 09:49:59.000000,2018-11-23 09:47:34.000000,31,16.0,50.0,126,69.0,\"Lightweight, Python library for fast and reproducible experimentation.\",5.0,16,False,2018-11-23 09:49:59.000000,0.1.16,16.0,steppy,,,,,43.0,38.0,https://pypi.org/project/steppy,2018-11-23 09:49:59.000000,5.0,23.0,23.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n773,ipyexperiments,stas00/ipyexperiments,,gpu-utilities,https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40.000000,2021-01-20 19:36:46.000000,2021-01-20 19:36:41.000000,9,,4.0,123,180.0,jupyter/ipython experiment containers for GPU and general RAM re-use.,3.0,16,False,2020-11-16 07:08:34.000000,0.1.22,21.0,ipyexperiments,,,,['jupyter'],4.0,2.0,https://pypi.org/project/ipyexperiments,2020-11-17 04:10:43.000000,2.0,34.0,34.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n774,celer,mathurinm/celer,,sklearn-utils,https://github.com/mathurinm/celer,https://github.com/mathurinm/celer,BSD-3-Clause,2018-02-20 19:37:31.000000,2021-01-29 16:19:38.000000,2021-01-22 16:01:10.000000,20,14.0,49.0,108,212.0,\"Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.\",9.0,16,False,2020-10-12 12:26:09.000000,0.5.1,9.0,celer,,,,['sklearn'],4.0,4.0,https://pypi.org/project/celer,2020-10-12 11:56:43.000000,,138.0,138.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n775,dabl,amueller/dabl,,sklearn-utils,https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49.000000,2021-01-11 23:09:14.000000,2020-07-08 16:14:41.000000,7,1.0,,66,252.0,Data Analysis Baseline Library.,18.0,16,False,2020-02-04 18:25:16.000000,0.1.9,10.0,dabl,,,,['sklearn'],,,https://pypi.org/project/dabl,2020-09-25 18:14:54.000000,,1723.0,1723.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n776,tinygrad,geohot/tinygrad,,pytorch-utils,https://github.com/geohot/tinygrad,https://github.com/geohot/tinygrad,MIT,2020-10-18 16:23:12.000000,2021-02-04 01:36:05.000000,2021-01-31 16:31:16.000000,445,14.0,63.0,4067,511.0,You like pytorch? You like micrograd? You love tinygrad!.,43.0,15,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n777,GraphEmbedding,shenweichen/GraphEmbedding,,graph,https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20.000000,2021-01-31 06:45:38.000000,2020-10-18 09:32:47.000000,551,27.0,13.0,1765,28.0,Implementation and experiments of graph embedding algorithms.,6.0,15,True,,,,,,,,['sklearn'],7.0,7.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n778,Lambda Networks,lucidrains/lambda-networks,,pytorch-utils,https://github.com/lucidrains/lambda-networks,https://github.com/lucidrains/lambda-networks,MIT,2020-10-08 19:01:15.000000,2020-11-18 19:54:34.000000,2020-11-18 19:54:30.000000,134,8.0,15.0,1288,,\"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.\",3.0,15,True,2020-11-18 08:18:54.000000,0.4.0,11.0,lambda-networks,,,,['pytorch'],,,https://pypi.org/project/lambda-networks,2020-10-20 21:49:22.000000,,923.0,923.0,,,,,,,,3.0,,,,,,,,,-2.0,,,,,,,,,,,,,\n779,AdvBox,advboxes/AdvBox,,adversarial,https://github.com/advboxes/AdvBox,https://github.com/advboxes/AdvBox,Apache-2.0,2018-08-08 08:55:41.000000,2020-11-13 17:59:22.000000,2020-08-26 22:59:41.000000,225,6.0,26.0,1037,374.0,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,19.0,15,True,2018-12-05 02:48:50.000000,0.4.1,2.0,advbox,,,,,,,https://pypi.org/project/advbox,2018-12-05 02:48:50.000000,,17.0,17.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n780,aim,aimhubio/aim,,ml-experiments,https://github.com/aimhubio/aim,https://github.com/aimhubio/aim,Apache-2.0,2019-05-31 18:25:07.000000,2021-01-21 18:25:20.000000,2021-01-21 18:25:18.000000,46,20.0,25.0,842,,\"Aim a super-easy way to record, search and compare 1000s of ML training runs.\",8.0,15,True,2019-11-06 08:06:11.000000,3.1.0,41.0,aim,,,,,2.0,,https://pypi.org/project/aim,2021-01-07 09:21:55.000000,2.0,688.0,688.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n781,MedicalTorch,perone/medicaltorch,,medical-data,https://github.com/perone/medicaltorch,https://github.com/perone/medicaltorch,Apache-2.0,2018-02-27 02:50:07.000000,2020-09-30 13:21:57.000000,2019-08-15 10:03:51.000000,106,14.0,9.0,706,55.0,A medical imaging framework for Pytorch.,7.0,15,False,2018-11-24 00:33:11.000000,0.2,2.0,medicaltorch,,,,['pytorch'],10.0,10.0,https://pypi.org/project/medicaltorch,2018-11-24 00:29:36.000000,,43.0,43.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n782,Translate,pytorch/translate,,nlp,https://github.com/pytorch/translate,https://github.com/pytorch/translate,BSD-3-Clause,2018-04-24 16:44:04.000000,2020-12-29 05:05:10.000000,2020-12-29 05:05:03.000000,158,66.0,27.0,678,803.0,Translate - a PyTorch Language Library.,84.0,15,True,,,1.0,pytorch-translate,,,,['pytorch'],,,https://pypi.org/project/pytorch-translate,2018-05-01 19:59:40.000000,,5.0,5.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n783,Hivemind,learning-at-home/hivemind,,distributed-ml,https://github.com/learning-at-home/hivemind,https://github.com/learning-at-home/hivemind,MIT,2020-02-27 13:50:19.000000,2021-01-26 17:12:51.000000,2021-01-26 17:12:49.000000,31,15.0,17.0,646,296.0,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,7.0,15,True,2020-08-28 05:52:35.000000,0.8.2,5.0,hivemind,,,,,2.0,1.0,https://pypi.org/project/hivemind,2020-08-28 16:00:22.000000,1.0,10.0,10.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n784,torchsde,google-research/torchsde,,pytorch-utils,https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11.000000,2021-01-05 18:30:53.000000,2021-01-05 12:06:21.000000,55,6.0,26.0,642,140.0,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,4.0,15,True,2021-01-05 18:31:38.000000,0.2.4,4.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n785,AlphaPy,ScottfreeLLC/AlphaPy,,hyperopt,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32.000000,2020-09-06 12:58:26.000000,2020-09-06 12:58:25.000000,115,10.0,29.0,544,407.0,\"Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost.\",3.0,15,True,2020-08-29 18:48:20.000000,2.5.0,24.0,alphapy,,,,,2.0,2.0,https://pypi.org/project/alphapy,2020-08-25 23:33:42.000000,,72.0,72.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n786,FlashTorch,MisaOgura/flashtorch,,interpretability,https://github.com/MisaOgura/flashtorch,https://github.com/MisaOgura/flashtorch,MIT,2019-03-22 13:00:57.000000,2020-12-14 23:09:26.000000,2020-05-29 14:37:29.000000,66,6.0,21.0,531,126.0,Visualization toolkit for neural networks in PyTorch! Demo --.,2.0,15,True,2020-05-29 14:39:38.000000,0.1.3,12.0,flashtorch,,,,['pytorch'],6.0,6.0,https://pypi.org/project/flashtorch,2020-05-29 14:38:32.000000,,79.0,79.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n787,cuSignal,rapidsai/cusignal,,gpu-utilities,https://github.com/rapidsai/cusignal,https://github.com/rapidsai/cusignal,Apache-2.0,2019-08-22 14:27:27.000000,2021-02-03 20:56:47.000000,2021-02-03 14:40:44.000000,60,15.0,82.0,442,,GPU accelerated signal processing.,28.0,15,True,2020-12-10 21:29:50.000000,0.17.0,5.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n788,lightly,lightly-ai/lightly,,image,https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000000,2021-02-04 15:08:14.000000,2021-02-03 14:59:16.000000,20,23.0,27.0,407,310.0,A python library for self-supervised learning on images.,5.0,15,True,2021-01-11 11:30:44.000000,1.0.8,11.0,lightly,,,,['pytorch'],2.0,2.0,https://pypi.org/project/lightly,2021-01-11 11:34:22.000000,,135.0,135.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n789,VizSeq,facebookresearch/vizseq,,nlp,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38.000000,2020-12-13 18:55:58.000000,2020-12-13 18:55:54.000000,39,7.0,8.0,310,43.0,\"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).\",3.0,15,True,2020-08-07 01:13:52.000000,0.1.15,16.0,vizseq,,,,,1.0,1.0,https://pypi.org/project/vizseq,2020-08-07 01:13:52.000000,,35.0,35.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n790,Parfit,jmcarpenter2/parfit,,hyperopt,https://github.com/jmcarpenter2/parfit,https://github.com/jmcarpenter2/parfit,MIT,2017-11-22 20:17:51.000000,2020-04-04 19:26:44.000000,2020-04-04 19:26:37.000000,25,5.0,5.0,197,127.0,\"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..\",2.0,15,True,,,23.0,parfit,,,,['sklearn'],7.0,7.0,https://pypi.org/project/parfit,2018-10-11 22:03:16.000000,,4201.0,4201.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n791,NeuralQA,victordibia/neuralqa,,nlp,https://github.com/victordibia/neuralqa,https://github.com/victordibia/neuralqa,MIT,2020-05-19 03:55:56.000000,2020-12-16 17:42:12.000000,2020-12-16 17:41:37.000000,23,18.0,8.0,182,312.0,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,3.0,15,True,,,26.0,neuralqa,,,,,2.0,2.0,https://pypi.org/project/neuralqa,2020-07-29 16:39:37.000000,,25.0,25.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n792,ONNX-T5,abelriboulot/onnxt5,,nlp,https://github.com/abelriboulot/onnxt5,https://github.com/abelriboulot/onnxt5,Apache-2.0,2020-08-01 09:38:35.000000,2021-01-28 09:26:15.000000,2021-01-28 09:24:52.000000,19,3.0,6.0,137,74.0,\"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..\",3.0,15,False,2021-01-28 09:26:15.000000,0.1.8,11.0,onnxt5,,,,,,,https://pypi.org/project/onnxt5,2021-01-28 09:26:15.000000,,159.0,159.0,,,,,,,,3.0,,,,,,,,,2.0,,,,,,,,,,,,,\n793,pyRDF2Vec,IBCNServices/pyRDF2Vec,,graph,https://github.com/IBCNServices/pyRDF2Vec,https://github.com/IBCNServices/pyRDF2Vec,MIT,2019-06-13 11:36:12.000000,2021-02-04 10:11:26.000000,2021-01-28 14:45:35.000000,15,5.0,20.0,81,690.0,Python Implementation and Extension of RDF2Vec.,5.0,15,False,2020-11-02 15:07:48.000000,0.1.1,7.0,pyrdf2vec,,,,,,,https://pypi.org/project/pyrdf2vec,2020-11-02 15:05:32.000000,,46.0,46.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n794,contextual-ai,SAP/contextual-ai,,interpretability,https://github.com/SAP/contextual-ai,https://github.com/SAP/contextual-ai,Apache-2.0,2020-05-12 07:15:56.000000,2021-01-25 04:56:57.000000,2021-01-25 04:03:23.000000,9,4.0,1.0,66,621.0,\"Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference -..\",10.0,15,False,2021-01-25 04:56:57.000000,0.0.2,2.0,contextual-ai,,,,,,,https://pypi.org/project/contextual-ai,2021-01-25 04:56:57.000000,,102.0,102.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n795,DE⫶TR,facebookresearch/detr,,image,https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52.000000,2021-01-16 14:33:22.000000,2020-11-15 16:03:45.000000,913,60.0,215.0,6083,41.0,End-to-End Object Detection with Transformers.,19.0,14,True,2020-06-29 16:41:01.000000,0.2,1.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n796,PySlowFast,facebookresearch/SlowFast,,image,https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26.000000,2021-01-25 23:47:33.000000,2021-01-25 21:51:22.000000,632,163.0,184.0,3321,98.0,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,19.0,14,True,,,,,,,,['pytorch'],2.0,2.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n797,OpenNRE,thunlp/OpenNRE,,nlp,https://github.com/thunlp/OpenNRE,https://github.com/thunlp/OpenNRE,MIT,2017-02-26 07:37:12.000000,2021-01-15 02:29:36.000000,2020-11-24 06:37:04.000000,855,19.0,285.0,2959,135.0,An Open-Source Package for Neural Relation Extraction (NRE).,9.0,14,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n798,Euler,alibaba/euler,,graph,https://github.com/alibaba/euler,https://github.com/alibaba/euler,Apache-2.0,2019-01-10 06:32:32.000000,2020-07-29 05:53:02.000000,2020-07-29 05:53:01.000000,502,200.0,97.0,2487,8.0,A distributed graph deep learning framework.,5.0,14,True,2020-07-07 02:24:18.000000,2.0.0,2.0,euler-gl,,,,['tensorflow'],,,https://pypi.org/project/euler-gl,2019-04-10 01:53:45.000000,,6.0,6.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n799,ENAS,carpedm20/ENAS-pytorch,,hyperopt,https://github.com/carpedm20/ENAS-pytorch,https://github.com/carpedm20/ENAS-pytorch,Apache-2.0,2018-02-15 04:54:37.000000,2020-12-09 18:13:03.000000,2020-06-16 07:23:32.000000,447,37.0,7.0,2383,53.0,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,6.0,14,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n800,GraphSAGE,williamleif/GraphSAGE,,graph,https://github.com/williamleif/GraphSAGE,https://github.com/williamleif/GraphSAGE,MIT,2017-05-29 15:36:22.000000,2021-02-02 21:46:42.000000,2018-09-19 19:27:00.000000,613,85.0,58.0,2141,59.0,Representation learning on large graphs using stochastic graph convolutions.,9.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n801,ZhuSuan,thu-ml/zhusuan,,probabilistics,https://github.com/thu-ml/zhusuan,https://github.com/thu-ml/zhusuan,MIT,2016-07-18 13:31:38.000000,2020-01-09 14:51:27.000000,2019-08-05 10:00:04.000000,378,8.0,53.0,2006,439.0,\"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.\",20.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n802,pycls,facebookresearch/pycls,,image,https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17.000000,2021-01-14 21:14:56.000000,2021-01-14 21:14:50.000000,150,11.0,44.0,1432,72.0,\"Codebase for Image Classification Research, written in PyTorch.\",9.0,14,True,2020-04-15 19:33:22.000000,0.1,1.0,,,,,['pytorch'],2.0,2.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n803,OpenNE,thunlp/OpenNE,,graph,https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20.000000,2021-01-29 16:32:37.000000,2019-08-12 10:56:27.000000,441,50.0,81.0,1399,98.0,An Open-Source Package for Network Embedding (NE).,10.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n804,Anchor,marcotcr/anchor,,interpretability,https://github.com/marcotcr/anchor,https://github.com/marcotcr/anchor,BSD-2-Clause,2018-02-02 23:38:50.000000,2020-09-10 17:49:26.000000,2020-09-10 17:48:28.000000,88,11.0,45.0,618,39.0,Code for High-Precision Model-Agnostic Explanations paper.,8.0,14,True,,,8.0,anchor_exp,,,,,,,https://pypi.org/project/anchor_exp,2020-06-26 20:56:50.000000,,408.0,408.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n805,zenml,maiot-io/zenml,,data-pipelines,https://github.com/maiot-io/zenml,https://github.com/maiot-io/zenml,Apache-2.0,2020-11-19 09:25:46.000000,2021-02-04 13:34:11.000000,2021-02-01 16:01:08.000000,31,1.0,3.0,617,,ZenML: Bring Zen to your ML with reproducible pipelines.,7.0,14,True,2021-01-22 16:21:33.000000,0.2.0,12.0,zenml,,,,,1.0,1.0,https://pypi.org/project/zenml,2021-01-22 16:21:33.000000,,128.0,128.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n806,AutoGL,THUMNLab/AutoGL,,graph,https://github.com/THUMNLab/AutoGL,https://github.com/THUMNLab/AutoGL,MIT,2020-11-30 14:26:22.000000,2021-01-17 09:12:44.000000,2020-12-29 10:32:05.000000,55,5.0,2.0,579,,An autoML framework & toolkit for machine learning on graphs.,4.0,14,True,2020-12-23 08:15:15.000000,0.1.1,2.0,auto-graph-learning,,,,['pytorch'],,,https://pypi.org/project/auto-graph-learning,2020-12-23 08:05:25.000000,,42.0,42.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n807,Tez,abhishekkrthakur/tez,,pytorch-utils,https://github.com/abhishekkrthakur/tez,https://github.com/abhishekkrthakur/tez,Apache-2.0,2020-11-13 10:19:22.000000,2021-01-30 20:25:30.000000,2021-01-30 20:25:29.000000,61,13.0,6.0,482,,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,1.0,14,True,2021-01-29 07:26:14.000000,0.1.2,9.0,tez,,,,['pytorch'],,,https://pypi.org/project/tez,2021-01-29 07:26:14.000000,,632.0,632.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n808,OpenRec,ylongqi/openrec,,recommender-systems,https://github.com/ylongqi/openrec,https://github.com/ylongqi/openrec,Apache-2.0,2017-11-29 16:04:40.000000,2020-11-13 17:47:17.000000,2020-02-19 07:57:17.000000,79,4.0,12.0,352,213.0,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms.,10.0,14,True,2018-11-13 17:55:55.000000,0.2.5,11.0,openrec,,,,,2.0,1.0,https://pypi.org/project/openrec,2019-09-11 20:21:21.000000,1.0,16.0,16.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n809,Pywick,achaiah/pywick,,pytorch-utils,https://github.com/achaiah/pywick,https://github.com/achaiah/pywick,MIT,2019-03-25 15:42:47.000000,2020-11-17 16:44:11.000000,2020-09-24 19:20:06.000000,35,2.0,9.0,311,109.0,High-level batteries-included neural network training library for Pytorch.,4.0,14,True,2020-01-20 22:14:21.000000,0.5.6,6.0,pywick,,,,['pytorch'],2.0,2.0,https://pypi.org/project/pywick,2020-01-20 22:14:21.000000,,108.0,108.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n810,TransferNLP,feedly/transfer-nlp,,nlp,https://github.com/feedly/transfer-nlp,https://github.com/feedly/transfer-nlp,MIT,2019-03-12 20:00:31.000000,2020-05-28 19:00:02.000000,2020-05-28 17:31:53.000000,18,4.0,19.0,285,465.0,NLP library designed for reproducible experimentation management.,7.0,14,True,2020-05-28 19:00:02.000000,0.1.6,8.0,transfer-nlp,,,,['pytorch'],,,https://pypi.org/project/transfer-nlp,2020-05-28 19:00:02.000000,,21.0,21.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n811,Julius,adefossez/julius,,audio,https://github.com/adefossez/julius,https://github.com/adefossez/julius,MIT,2020-10-26 10:54:21.000000,2021-01-26 11:59:07.000000,2021-01-26 11:59:06.000000,6,,3.0,170,,Fast PyTorch based DSP for audio and 1D signals.,2.0,14,True,2021-01-26 11:45:37.000000,0.2.2,6.0,julius,,,,['pytorch'],3.0,3.0,https://pypi.org/project/julius,2021-01-26 11:45:37.000000,,549.0,549.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n812,textvec,textvec/textvec,,nlp,https://github.com/textvec/textvec,https://github.com/textvec/textvec,MIT,2018-04-12 14:03:53.000000,2020-12-03 14:23:11.000000,2020-12-03 14:23:04.000000,21,2.0,6.0,155,70.0,Text vectorization tool to outperform TFIDF for classification tasks.,5.0,14,True,2019-09-12 07:41:04.000000,2.0,4.0,textvec,,,,['sklearn'],2.0,2.0,https://pypi.org/project/textvec,2020-12-03 14:17:09.000000,,41.0,41.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n813,ModelChimp,ModelChimp/modelchimp,,ml-experiments,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03.000000,2021-02-03 23:31:36.000000,2021-01-15 13:54:13.000000,11,4.0,10.0,120,360.0,Experiment tracking for machine and deep learning projects.,3.0,14,False,2019-04-09 10:43:15.000000,0.4.0,37.0,modelchimp,,modelchimp/modelchimp-server,,,,,https://pypi.org/project/modelchimp,2019-04-09 10:41:20.000000,,35.0,58.0,,,,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,634.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n814,DeepNeuro,QTIM-Lab/DeepNeuro,,medical-data,https://github.com/QTIM-Lab/DeepNeuro,https://github.com/QTIM-Lab/DeepNeuro,MIT,2017-06-01 19:36:34.000000,2020-06-24 13:00:15.000000,2020-06-24 13:00:14.000000,29,25.0,16.0,99,285.0,A deep learning python package for neuroimaging data. Made by:.,6.0,14,False,2019-04-11 16:57:02.000000,0.2.2,5.0,deepneuro,,,,,1.0,1.0,https://pypi.org/project/deepneuro,2019-04-11 16:57:02.000000,,33.0,33.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n815,nptsne,biovault/nptsne,,data-viz,https://github.com/biovault/nptsne,https://github.com/biovault/nptsne,Apache-2.0,2019-06-28 08:40:25.000000,2021-02-03 08:52:54.000000,2021-02-03 08:52:27.000000,2,8.0,3.0,24,857.0,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,3.0,14,False,2020-09-10 23:54:14.000000,1.1.0,2.0,nptsne,,,,,2.0,2.0,https://pypi.org/project/nptsne,2020-09-10 23:54:14.000000,,66.0,66.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n816,StarSpace,facebookresearch/StarSpace,,ml-frameworks,https://github.com/facebookresearch/StarSpace,https://github.com/facebookresearch/StarSpace,MIT,2017-06-28 17:50:18.000000,2020-05-18 03:40:57.000000,2019-12-13 19:03:25.000000,494,50.0,146.0,3540,138.0,\"Learning embeddings for classification, retrieval and ranking.\",17.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n817,OpenKE,thunlp/OpenKE,,graph,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,MIT,2017-10-08 11:20:23.000000,2020-04-08 11:00:38.000000,2020-04-08 11:00:32.000000,737,52.0,223.0,2370,97.0,An Open-Source Package for Knowledge Embedding (KE).,10.0,13,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n818,micrograd,karpathy/micrograd,,pytorch-utils,https://github.com/karpathy/micrograd,https://github.com/karpathy/micrograd,MIT,2020-04-13 04:31:18.000000,2020-12-18 12:55:50.000000,2020-04-18 19:15:25.000000,114,2.0,3.0,1577,24.0,A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.,2.0,13,True,2020-04-18 19:06:59.000000,0.1.0,1.0,micrograd,,,,['pytorch'],1.0,1.0,https://pypi.org/project/micrograd,2020-04-18 19:06:59.000000,,9.0,9.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n819,Torch-Struct,harvardnlp/pytorch-struct,,pytorch-utils,https://github.com/harvardnlp/pytorch-struct,https://github.com/harvardnlp/pytorch-struct,MIT,2019-08-26 19:34:30.000000,2021-01-22 15:58:05.000000,2021-01-20 18:53:32.000000,68,13.0,22.0,884,259.0,\"Fast, general, and tested differentiable structured prediction in PyTorch.\",12.0,13,True,2019-11-25 04:08:05.000000,0.4,1.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n820,GraphVite,DeepGraphLearning/graphvite,,graph,https://github.com/DeepGraphLearning/graphvite,https://github.com/DeepGraphLearning/graphvite,Apache-2.0,2019-07-16 15:48:20.000000,2021-01-14 02:19:03.000000,2021-01-14 02:18:46.000000,117,24.0,55.0,843,15.0,GraphVite: A General and High-performance Graph Embedding System.,1.0,13,True,,,4.0,,milagraph/graphvite,,,,,,,,,,190.0,https://anaconda.org/milagraph/graphvite,2020-03-19 18:21:30.972000,3428.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n821,NeoML,neoml-lib/neoml,,ml-frameworks,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000000,2021-02-04 07:30:44.000000,2021-02-03 18:42:53.000000,79,16.0,13.0,563,197.0,Machine learning framework for both deep learning and traditional algorithms.,16.0,13,True,2020-06-14 17:44:03.000000,NeoML-master_1.0.1.0,1.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n822,PandaPy,firmai/pandapy,,data-containers,https://github.com/firmai/pandapy,https://github.com/firmai/pandapy,MIT,2020-01-15 18:21:23.000000,2020-11-12 16:18:45.000000,2020-11-12 16:18:44.000000,45,2.0,1.0,472,83.0,PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai).,3.0,13,True,2020-11-12 16:12:54.000000,zen,22.0,pandapy,,,,['pandas'],1.0,1.0,https://pypi.org/project/pandapy,2020-01-25 23:10:32.000000,,12.0,12.0,,,,,,,,3.0,,,,,,,,,-2.0,,,,,,,,,,,,,\n823,Adversary,airbnb/artificial-adversary,,adversarial,https://github.com/airbnb/artificial-adversary,https://github.com/airbnb/artificial-adversary,MIT,2018-08-08 04:42:11.000000,2018-10-14 05:34:44.000000,2018-08-29 15:31:30.000000,48,7.0,,341,15.0,Tool to generate adversarial text examples and test machine learning models against them.,5.0,13,False,2018-08-29 15:14:41.000000,1.1.1,3.0,Adversary,,,,,6.0,6.0,https://pypi.org/project/Adversary,2018-08-29 15:14:41.000000,,15.0,15.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n824,Auptimizer,LGE-ARC-AdvancedAI/auptimizer,,hyperopt,https://github.com/LGE-ARC-AdvancedAI/auptimizer,https://github.com/LGE-ARC-AdvancedAI/auptimizer,GPL-3.0,2019-09-12 01:08:37.000000,2020-12-04 01:00:53.000000,2020-12-04 00:51:11.000000,20,,4.0,159,68.0,An automatic ML model optimization tool.,11.0,13,False,2020-11-19 05:14:22.000000,1.4,6.0,auptimizer,,,,,,,https://pypi.org/project/auptimizer,2020-11-19 00:23:49.000000,,31.0,31.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n825,nx-altair,Zsailer/nx_altair,,data-viz,https://github.com/Zsailer/nx_altair,https://github.com/Zsailer/nx_altair,MIT,2018-05-13 00:10:12.000000,2020-09-30 12:01:08.000000,2020-06-02 21:10:26.000000,19,5.0,4.0,155,51.0,Draw interactive NetworkX graphs with Altair.,3.0,13,True,2020-06-02 21:11:12.000000,0.1.6,8.0,nx-altair,,,,['jupyter'],2.0,,https://pypi.org/project/nx-altair,2020-06-02 21:11:12.000000,2.0,133.0,133.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n826,Hypermax,electricbrainio/hypermax,,hyperopt,https://github.com/electricbrainio/hypermax,https://github.com/electricbrainio/hypermax,BSD-3-Clause,2018-07-27 18:43:01.000000,2020-08-02 18:08:50.000000,2020-08-02 18:08:46.000000,15,3.0,1.0,94,207.0,\"Better, faster hyper-parameter optimization.\",9.0,13,False,2019-10-23 15:40:12.000000,0.5.1,11.0,hypermax,,,,,4.0,4.0,https://pypi.org/project/hypermax,2019-10-23 15:40:12.000000,,13.0,13.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n827,Medical Detection Toolkit,MIC-DKFZ/medicaldetectiontoolkit,,medical-data,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,Apache-2.0,2018-10-12 12:34:57.000000,2020-10-14 11:17:37.000000,2020-04-18 12:52:08.000000,232,27.0,85.0,902,36.0,\"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..\",3.0,12,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n828,Attribution Priors,suinleelab/attributionpriors,,interpretability,https://github.com/suinleelab/attributionpriors,https://github.com/suinleelab/attributionpriors,MIT,2019-06-24 23:54:24.000000,2021-01-29 00:59:05.000000,2021-01-29 00:59:05.000000,3,1.0,3.0,74,68.0,Tools for training explainable models using attribution priors.,6.0,12,False,2019-07-18 21:13:37.000000,0.1.3,4.0,attributionpriors,,,,\"['tensorflow', 'pytorch']\",,,https://pypi.org/project/attributionpriors,2019-10-31 18:03:05.000000,,15.0,15.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n829,LazyCluster,ml-tooling/lazycluster,,distributed-ml,https://github.com/ml-tooling/lazycluster,https://github.com/ml-tooling/lazycluster,Apache-2.0,2019-08-07 08:05:13.000000,2021-02-02 23:23:06.000000,2020-12-14 15:24:53.000000,6,,,33,,Distributed machine learning made simple.,2.0,12,False,2020-12-14 15:25:59.000000,0.2.4,5.0,lazycluster,,,,,2.0,2.0,https://pypi.org/project/lazycluster,2020-12-14 14:49:33.000000,,44.0,44.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n830,featurewiz,AutoViML/featurewiz,,hyperopt,https://github.com/AutoViML/featurewiz,https://github.com/AutoViML/featurewiz,Apache-2.0,2020-11-29 16:46:16.000000,2021-02-01 23:38:45.000000,2021-02-01 23:22:25.000000,10,,,21,,Use advanced feature engineering strategies and select the best features from your data set fast with a single line of..,1.0,12,False,2021-02-01 23:38:45.000000,0.0.17,17.0,featurewiz,,,,,,,https://pypi.org/project/featurewiz,2021-02-01 23:38:45.000000,,164.0,164.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n831,surpriver,tradytics/surpriver,,financial-data,https://github.com/tradytics/surpriver,https://github.com/tradytics/surpriver,GPL-3.0,2020-08-30 07:56:22.000000,2020-11-13 00:48:16.000000,2020-09-21 04:32:05.000000,191,7.0,4.0,1077,64.0,Find big moving stocks before they move using machine learning and anomaly detection.,6.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n832,MedicalNet,Tencent/MedicalNet,,medical-data,https://github.com/Tencent/MedicalNet,https://github.com/Tencent/MedicalNet,MIT,2019-07-17 09:53:10.000000,2020-08-27 13:37:27.000000,2020-08-27 13:37:26.000000,282,43.0,14.0,1051,26.0,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,1.0,11,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n833,Devol,joeddav/devol,,hyperopt,https://github.com/joeddav/devol,https://github.com/joeddav/devol,MIT,2017-02-10 03:07:54.000000,2020-07-05 21:56:59.000000,2020-07-05 21:56:58.000000,109,7.0,20.0,923,116.0,Genetic neural architecture search with Keras.,18.0,11,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n834,PySparNN,facebookresearch/pysparnn,,nn-search,https://github.com/facebookresearch/pysparnn,https://github.com/facebookresearch/pysparnn,BSD-3-Clause,2016-03-28 20:43:42.000000,2020-10-02 06:01:01.000000,2018-01-31 16:50:23.000000,141,11.0,14.0,845,147.0,Approximate Nearest Neighbor Search for Sparse Data in Python!.,5.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n835,traingenerator,jrieke/traingenerator,,others,https://github.com/jrieke/traingenerator,https://github.com/jrieke/traingenerator,MIT,2020-12-03 16:47:16.000000,2021-02-04 09:41:40.000000,2021-01-20 23:05:06.000000,115,9.0,3.0,915,,A web app to generate template code for machine learning.,3.0,10,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n836,Mozart,aashrafh/Mozart,,ocr,https://github.com/aashrafh/Mozart,https://github.com/aashrafh/Mozart,Apache-2.0,2020-12-14 11:49:14.000000,2021-01-14 17:13:59.000000,2021-01-14 17:13:58.000000,35,1.0,1.0,221,,An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.,5.0,10,True,,,,,,,,['sklearn'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n837,Hypertunity,gdikov/hypertunity,,hyperopt,https://github.com/gdikov/hypertunity,https://github.com/gdikov/hypertunity,Apache-2.0,2019-06-02 12:04:55.000000,2020-01-26 23:14:49.000000,2020-01-26 22:53:29.000000,9,,2.0,120,64.0,A toolset for black-box hyperparameter optimisation.,2.0,10,False,2020-01-26 23:08:16.000000,1.0.1,7.0,hypertunity,,,,,2.0,2.0,https://pypi.org/project/hypertunity,2020-01-26 23:08:16.000000,,12.0,12.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n838,traintool,jrieke/traintool,,ml-experiments,https://github.com/jrieke/traintool,https://github.com/jrieke/traintool,Apache-2.0,2020-09-30 22:23:05.000000,2020-11-18 02:51:43.000000,2020-11-18 02:50:52.000000,1,,,9,120.0,Train off-the-shelf machine learning models in one line of code.,,9,False,2020-11-02 02:25:32.000000,0.0.3,3.0,traintool,,,,\"['pytorch', 'tensorflow', 'sklearn']\",,,https://pypi.org/project/traintool,2020-11-02 02:25:32.000000,,5.0,5.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n"
  },
  {
    "path": "history/2021-02-18_changes.md",
    "content": "## 📈 Trending Up\n\n_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._\n\n- <b><a href=\"https://github.com/mwaskom/seaborn\">Seaborn</a></b> (🥇37 ·  ⭐ 8.1K · 📈) - Statistical data visualization using matplotlib. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/scikit-learn-contrib/imbalanced-learn\">imbalanced-learn</a></b> (🥇31 ·  ⭐ 5K · 📈) - A Python Package to Tackle the Curse of Imbalanced.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/bashtage/arch\">arch</a></b> (🥈25 ·  ⭐ 640 · 📈) - ARCH models in Python. <code><a href=\"https://tldrlegal.com/search?q=NCSA\">❗️NCSA</a></code>\n- <b><a href=\"https://github.com/lmcinnes/pynndescent\">PyNNDescent</a></b> (🥈25 ·  ⭐ 370 · 📈) - A Python nearest neighbor descent for approximate nearest.. <code><a href=\"http://bit.ly/3rqEWVr\">BSD-2</a></code>\n- <b><a href=\"https://github.com/astroML/astroML\">AstroML</a></b> (🥈24 ·  ⭐ 730 · 📈) - Machine learning, statistics, and data mining for astronomy and.. <code><a href=\"http://bit.ly/3rqEWVr\">BSD-2</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/jasmcaus/caer\">Caer</a></b> (🥉23 ·  ⭐ 430 · 🐣) - A lightweight Computer Vision library. Scale your models, not boilerplate. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/nipy/nipy\">NIPY</a></b> (🥈22 ·  ⭐ 290 · 📈) - Neuroimaging in Python FMRI analysis package. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/shankarpandala/lazypredict\">lazypredict</a></b> (🥉21 ·  ⭐ 380 · 📈) - Lazy Predict help build a lot of basic models without much.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/MrPowers/quinn\">quinn</a></b> (🥉21 ·  ⭐ 210 · 📈) - pyspark methods to enhance developer productivity. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1N\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/scikit-learn-contrib/DESlib\">DESlib</a></b> (🥉20 ·  ⭐ 310 · 📈) - A Python library for dynamic classifier and ensemble selection. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n\n## 📉 Trending Down\n\n_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._\n\n- <b><a href=\"https://github.com/pandas-dev/pandas\">pandas</a></b> (🥇40 ·  ⭐ 29K · 📉) - Flexible and powerful data analysis / manipulation library for.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1S\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/ray-project/ray\">Ray</a></b> (🥇32 ·  ⭐ 15K · 📉) - An open source framework that provides a simple, universal API for.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/mlflow/mlflow\">mlflow</a></b> (🥇32 ·  ⭐ 8.4K · 📉) - Open source platform for the machine learning lifecycle. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/tensorflow/tensor2tensor\">tensor2tensor</a></b> (🥇31 ·  ⭐ 11K · 📉) - Library of deep learning models and datasets designed.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/horovod/horovod\">horovod</a></b> (🥈29 ·  ⭐ 11K · 📉) - Distributed training framework for TensorFlow, Keras, PyTorch,.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/nilearn/nilearn\">Nilearn</a></b> (🥇29 ·  ⭐ 700 · 📉) - Machine learning for NeuroImaging in Python. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/facebookresearch/faiss\">Faiss</a></b> (🥇28 ·  ⭐ 12K · 📉) - A library for efficient similarity search and clustering of dense vectors. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/mozilla/DeepSpeech\">DeepSpeech</a></b> (🥉24 ·  ⭐ 16K · 📉) - DeepSpeech is an open source embedded (offline, on-.. <code><a href=\"http://bit.ly/3postzC\">MPL-2.0</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/stan-dev/pystan\">PyStan</a></b> (🥉21 ·  ⭐ 35 · 📉) - PyStan, a Python interface to Stan, a platform for statistical modeling... <code><a href=\"http://bit.ly/3hkKRql\">ISC</a></code>\n- <b><a href=\"https://github.com/geospace-code/pymap3d\">pymap3d</a></b> (🥉19 ·  ⭐ 180 · 📉) - pure-Python (Numpy optional) 3D coordinate conversions for geospace.. <code><a href=\"http://bit.ly/3rqEWVr\">BSD-2</a></code>\n\n## ➕ Added Projects\n\n_Projects that were recently added to this best-of list._\n\n- <b><a href=\"https://github.com/data-describe/data-describe\">data-describe</a></b> (🥉14 ·  ⭐ 250 · ➕) - datadescribe: Pythonic EDA Accelerator for Data Science. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/intuit/bias-detector\">bias-detector</a></b> (🥉10 ·  ⭐ 15 · ➕) - Bias Detector is a python package for detecting bias in machine.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n\n"
  },
  {
    "path": "history/2021-02-18_projects.csv",
    "content": ",name,github_id,resource,category,github_url,homepage,license,created_at,updated_at,last_commit_pushed_at,fork_count,open_issue_count,closed_issue_count,star_count,commit_count,description,contributor_count,projectrank,show,latest_stable_release_published_at,latest_stable_release_number,release_count,pypi_id,conda_id,dockerhub_id,docs_url,labels,dependent_project_count,github_dependent_project_count,pypi_url,pypi_latest_release_published_at,pypi_dependent_project_count,pypi_monthly_downloads,monthly_downloads,conda_url,conda_latest_release_published_at,conda_total_downloads,dockerhub_url,dockerhub_latest_release_published_at,dockerhub_stars,dockerhub_pulls,projectrank_placing,github_release_downloads,trending,helm_id,npm_id,npm_url,npm_latest_release_published_at,npm_dependent_project_count,npm_monthly_downloads,conda_dependent_project_count,brew_id,apt_id,yum_id,updated_github_id,snap_id,maven_id,maven_url,maven_latest_release_published_at,maven_dependent_project_count,dnf_id,yay_id,gitlab_id,gitlab_url,new_addition\n0,ANN Benchmarks,erikbern/ann-benchmarks,True,nn-search,https://github.com/erikbern/ann-benchmarks,https://github.com/erikbern/ann-benchmarks,MIT,2015-05-28 13:21:43.000000,2021-02-03 11:59:36.000000,2021-02-03 11:59:35.000000,323,25.0,57.0,2054,1173.0,Benchmarks of approximate nearest neighbor libraries in Python.,53.0,0,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n1,best-of-web-python - Web Scraping,ml-tooling/best-of-web-python,True,web-scraping,https://github.com/ml-tooling/best-of-web-python,https://github.com/ml-tooling/best-of-web-python,CC-BY-SA-4.0,2021-01-05 13:09:27.000000,2021-02-18 15:25:55.000000,2021-02-05 15:40:55.000000,59,,2.0,1028,,Collection of web-scraping and crawling libraries.,6.0,0,True,2021-02-05 15:41:05.000000,2021.02.04,7.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n2,best-of-python - DB Clients,ml-tooling/best-of-python,True,db-clients,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#database-clients,CC-BY-SA-4.0,2021-01-11 19:11:32.000000,2021-02-18 14:53:30.000000,2021-02-05 15:42:47.000000,89,,2.0,1419,,Collection of database clients for python.,5.0,0,True,2021-02-05 15:43:00.000000,2021.02.04,6.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n3,Tensorflow,tensorflow/tensorflow,,ml-frameworks,https://github.com/tensorflow/tensorflow,https://github.com/tensorflow/tensorflow,Apache-2.0,2015-11-07 01:19:20.000000,2021-02-18 13:48:56.800063,2021-02-18 13:00:02.000000,84014,4005.0,26496.0,155177,104975.0,An Open Source Machine Learning Framework for Everyone.,3533.0,44,True,2021-01-21 19:55:54.000000,2.4.1,116.0,tensorflow,conda-forge/tensorflow,tensorflow/tensorflow,https://www.tensorflow.org/overview,['tensorflow'],145236.0,122712.0,https://pypi.org/project/tensorflow,2021-01-21 19:38:00.000000,22524.0,3620738.0,4418502.0,https://anaconda.org/conda-forge/tensorflow,2020-07-15 22:30:18.070000,2322152.0,https://hub.docker.com/r/tensorflow/tensorflow,2021-02-18 13:48:56.800063,1845.0,47779611.0,1.0,,,,,,,,,,,,,,,,,,,,,,,\n4,numpy,numpy/numpy,,data-containers,https://github.com/numpy/numpy,https://github.com/numpy/numpy,BSD-3-Clause,2010-09-13 23:02:39.000000,2021-02-18 14:19:53.000000,2021-02-17 19:19:16.000000,5252,2254.0,7316.0,16296,25576.0,The fundamental package for scientific computing with Python.,1259.0,42,True,2021-02-07 21:07:19.000000,1.20.1,96.0,numpy,conda-forge/numpy,,,,797689.0,627967.0,https://pypi.org/project/numpy,2021-02-07 20:27:20.000000,169722.0,26209727.0,26504252.0,https://anaconda.org/conda-forge/numpy,2021-02-10 11:44:00.243000,16443372.0,,,,,1.0,308303.0,,,,,,,,,,,,,,,,,,,,,,\n5,Matplotlib,matplotlib/matplotlib,,data-viz,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,Python-2.0,2011-02-19 03:17:12.000000,2021-02-18 13:15:34.000000,2021-02-18 03:25:04.000000,5646,1688.0,6014.0,13144,37959.0,matplotlib: plotting with Python.,1206.0,41,True,2021-01-28 08:54:50.000000,3.3.4,62.0,matplotlib,conda-forge/matplotlib,,,,407051.0,327947.0,https://pypi.org/project/matplotlib,2021-01-28 08:34:18.000000,79104.0,7131961.0,7258302.0,https://anaconda.org/conda-forge/matplotlib,2021-01-28 20:05:11.672000,8212217.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n6,pandas,pandas-dev/pandas,,data-containers,https://github.com/pandas-dev/pandas,https://github.com/pandas-dev/pandas,BSD-3-Clause,2010-08-24 01:37:33.000000,2021-02-18 14:42:50.000000,2021-02-18 02:18:14.000000,11870,3613.0,16506.0,28536,25928.0,\"Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R..\",2590.0,40,True,2021-02-09 13:20:50.000000,1.2.2,89.0,pandas,conda-forge/pandas,,,['pandas'],76784.0,,https://pypi.org/project/pandas,2021-02-09 13:20:50.000000,76784.0,16855467.0,17104931.0,https://anaconda.org/conda-forge/pandas,2021-02-09 18:54:54.454000,14154929.0,,,,,1.0,96251.0,-2.0,,,,,,,,,,,,,,,,,,,,,\n7,scipy,scipy/scipy,,others,https://github.com/scipy/scipy,https://github.com/scipy/scipy,BSD-3-Clause,2011-03-09 18:52:03.000000,2021-02-18 15:24:15.000000,2021-02-18 15:24:15.000000,3571,1583.0,5749.0,7929,25046.0,\"Ecosystem of open-source software for mathematics, science, and engineering.\",1122.0,40,True,2021-02-18 03:16:09.000000,1.6.1,61.0,scipy,conda-forge/scipy,,,,392173.0,305311.0,https://pypi.org/project/scipy,2021-02-18 02:35:14.000000,86862.0,10262485.0,10488226.0,https://anaconda.org/conda-forge/scipy,2021-02-05 14:18:57.636000,12606538.0,,,,,1.0,306508.0,,,,,,,,,,,,,,,,,,,,,,\n8,PyTorch,pytorch/pytorch,,ml-frameworks,https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41.000000,2021-02-18 14:01:04.000000,2021-02-18 13:01:03.000000,12201,7846.0,12954.0,46244,33661.0,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,2507.0,39,True,2020-12-10 17:19:58.000000,1.7.1,30.0,torch,pytorch/pytorch,,https://pytorch.org/docs/stable/index.html,['pytorch'],69691.0,63009.0,https://pypi.org/project/torch,2020-12-10 16:22:02.000000,6682.0,1183155.0,1442850.0,https://anaconda.org/pytorch/pytorch,2020-12-10 16:11:32.801000,10128113.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n9,Pillow,python-pillow/Pillow,,image,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000000,2021-02-17 19:31:16.000000,2021-02-17 19:31:15.000000,1581,253.0,1880.0,8228,11176.0,The friendly PIL fork (Python Imaging Library).,346.0,39,True,2021-01-02 20:13:09.000000,8.1.0,77.0,Pillow,conda-forge/pillow,,,,515108.0,403682.0,https://pypi.org/project/Pillow,2021-01-02 20:11:59.000000,111426.0,9684583.0,9808260.0,https://anaconda.org/conda-forge/pillow,2021-02-08 21:04:14.986000,7173307.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n10,PySpark,apache/spark,,ml-frameworks,https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08.000000,2021-02-18 13:34:28.000000,2021-02-18 12:50:50.000000,23361,238.0,,28825,29352.0,Apache Spark Python API.,2401.0,38,True,2020-09-07 15:29:07.000000,3.0.1,21.0,pyspark,conda-forge/pyspark,,,['spark'],1328.0,568.0,https://pypi.org/project/pyspark,2020-09-07 15:29:07.000000,760.0,4268656.0,4287928.0,https://anaconda.org/conda-forge/pyspark,2020-09-07 17:29:01.440000,905824.0,,,,,1.0,,,stable/spark,,,,,,,,,,,,,,,,,,,,\n11,Celery,celery/celery,,data-pipelines,https://github.com/celery/celery,https://github.com/celery/celery,BSD-3-Clause,2009-04-24 11:31:24.000000,2021-02-18 11:11:25.000000,2021-02-17 07:05:11.000000,3945,511.0,3938.0,16720,11513.0,Asynchronous task queue/job queue based on distributed message passing.,1085.0,38,True,2020-12-16 15:41:18.000000,5.0.5,171.0,celery,conda-forge/celery,,,,77257.0,49023.0,https://pypi.org/project/celery,2020-12-16 15:34:09.000000,28234.0,1597811.0,1604512.0,https://anaconda.org/conda-forge/celery,2021-02-08 18:58:32.032000,395387.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n12,scikit-learn,scikit-learn/scikit-learn,,ml-frameworks,https://github.com/scikit-learn/scikit-learn,https://github.com/scikit-learn/scikit-learn,BSD-3-Clause,2010-08-17 09:43:38.000000,2021-02-18 13:39:06.000000,2021-02-18 08:06:52.000000,21067,2325.0,6700.0,44601,,scikit-learn: machine learning in Python.,2158.0,37,True,2021-01-19 18:10:37.000000,0.24.1,53.0,scikit-learn,conda-forge/scikit-learn,,,['sklearn'],230273.0,192385.0,https://pypi.org/project/scikit-learn,2021-01-19 18:06:50.000000,37888.0,7165015.0,7288250.0,https://anaconda.org/conda-forge/scikit-learn,2021-01-21 23:33:46.354000,7023796.0,,,,,1.0,659.0,,,,,,,,,,,,,,,,,,,,,,\n13,spaCy,explosion/spaCy,,nlp,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000000,2021-02-18 12:23:15.000000,2021-02-18 09:22:41.000000,3291,102.0,4266.0,19590,14287.0,Industrial-strength Natural Language Processing (NLP) in Python.,564.0,37,True,2021-02-14 04:44:43.000000,3.0.3,174.0,spacy,conda-forge/spacy,,,,24608.0,21542.0,https://pypi.org/project/spacy,2021-02-14 04:44:43.000000,3066.0,716140.0,746247.0,https://anaconda.org/conda-forge/spacy,2021-02-14 15:14:46.994000,1442462.0,,,,,1.0,2949.0,,,,,,,,,,,,,,,,,,,,,,\n14,Seaborn,mwaskom/seaborn,,data-viz,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000000,2021-02-17 00:10:15.000000,2021-02-17 00:10:14.000000,1377,85.0,1692.0,8122,2759.0,Statistical data visualization using matplotlib.,149.0,37,True,2020-12-20 20:53:25.000000,0.11.1,23.0,seaborn,conda-forge/seaborn,,,,94571.0,81785.0,https://pypi.org/project/seaborn,2020-12-20 20:53:25.000000,12786.0,1473087.0,1510196.0,https://anaconda.org/conda-forge/seaborn,2021-01-28 11:50:33.609000,2003856.0,,,,,1.0,136.0,2.0,,,,,,,,,,,,,,,,,,,,,\n15,transformers,huggingface/transformers,,nlp,https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000000,2021-02-18 14:18:18.000000,2021-02-18 11:29:43.000000,9961,646.0,5390.0,40920,6585.0,Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.,779.0,36,True,2021-02-09 19:13:49.000000,4.3.2,51.0,transformers,conda-forge/transformers,,,\"['pytorch', 'tensorflow']\",7918.0,7790.0,https://pypi.org/project/transformers,2021-02-09 19:11:53.000000,128.0,563219.0,564576.0,https://anaconda.org/conda-forge/transformers,2021-02-09 21:34:57.119000,20984.0,,,,,1.0,1256.0,,,,,,,,,,,,,,,,,,,,,,\n16,Faker,joke2k/faker,,data-loading,https://github.com/joke2k/faker,https://github.com/joke2k/faker,MIT,2012-11-12 23:00:09.000000,2021-02-17 22:32:44.000000,2021-02-17 16:36:25.000000,1377,135.0,354.0,12112,2563.0,Faker is a Python package that generates fake data for you.,389.0,36,True,2021-02-17 16:38:38.000000,6.3.0,122.0,Faker,conda-forge/faker,,,,28209.0,23497.0,https://pypi.org/project/Faker,2021-02-17 16:37:01.000000,4712.0,1412872.0,1420867.0,https://anaconda.org/conda-forge/faker,2021-02-17 18:14:59.655000,375810.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n17,networkx,networkx/networkx,,graph,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44.000000,2021-02-18 05:16:07.000000,2021-02-17 20:50:29.000000,2211,271.0,2316.0,8662,6421.0,Network Analysis in Python.,495.0,36,True,2020-08-22 20:10:33.000000,networkx-2.5,52.0,networkx,conda-forge/networkx,,,,87908.0,67090.0,https://pypi.org/project/networkx,2020-08-22 20:38:37.000000,20818.0,4076770.0,4135395.0,https://anaconda.org/conda-forge/networkx,2020-08-23 19:29:02.065000,3048518.0,,,,,1.0,51.0,,,,,,,,,,,,,,,,,,,,,,\n18,SymPy,sympy/sympy,,others,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000000,2021-02-18 13:33:19.000000,2021-02-18 13:33:19.000000,3300,4056.0,7134.0,7825,46170.0,A computer algebra system written in pure Python.,1037.0,36,True,2020-12-12 23:23:00.000000,1.7.1,36.0,sympy,conda-forge/sympy,,,,35454.0,29032.0,https://pypi.org/project/sympy,2020-12-12 23:23:00.000000,6422.0,454949.0,482257.0,https://anaconda.org/conda-forge/sympy,2021-01-08 20:38:32.429000,1296348.0,,,,,1.0,415553.0,,,,,,,,,,,,,,,,,,,,,,\n19,StatsModels,statsmodels/statsmodels,,ml-frameworks,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000000,2021-02-18 05:26:29.000000,2021-02-17 23:58:33.000000,2156,2080.0,2256.0,6017,13585.0,Statsmodels: statistical modeling and econometrics in Python.,302.0,36,True,2021-02-02 11:08:49.000000,0.12.2,25.0,statsmodels,conda-forge/statsmodels,,,,44109.0,37453.0,https://pypi.org/project/statsmodels,2021-02-02 11:08:49.000000,6656.0,2143902.0,2204081.0,https://anaconda.org/conda-forge/statsmodels,2021-02-15 17:38:00.380000,3370042.0,,,,,1.0,25.0,,,,,,,,,,,,,,,,,,,,,,\n20,Tensorboard,tensorflow/tensorboard,,ml-experiments,https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000000,2021-02-18 10:37:55.000000,2021-02-18 03:01:20.000000,1360,539.0,935.0,5156,4285.0,TensorFlow's Visualization Toolkit.,252.0,36,True,2021-01-14 20:44:05.000000,2.4.1,36.0,tensorboard,conda-forge/tensorboard,,,['tensorflow'],58033.0,54419.0,https://pypi.org/project/tensorboard,2020-11-12 03:15:33.000000,3614.0,3552380.0,3595454.0,https://anaconda.org/conda-forge/tensorboard,2021-01-15 08:30:57.960000,1679924.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n21,scikit-image,scikit-image/scikit-image,,image,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,BSD-2-Clause,2011-07-07 22:07:20.000000,2021-02-18 03:15:10.000000,2021-02-17 18:35:59.000000,1754,674.0,1489.0,4192,12486.0,Image processing in Python.,481.0,36,True,2021-01-19 08:17:34.000000,0.18.1,35.0,scikit-image,conda-forge/scikit-image,,,,75849.0,61075.0,https://pypi.org/project/scikit-image,2020-12-23 06:36:46.000000,14774.0,1295394.0,1333429.0,https://anaconda.org/conda-forge/scikit-image,2021-01-21 20:53:16.554000,2168011.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n22,h5py,h5py/h5py,,data-containers,https://github.com/h5py/h5py,https://github.com/h5py/h5py,BSD-3-Clause,2012-09-21 00:40:02.000000,2021-02-18 13:43:09.000000,2021-02-12 16:23:06.000000,393,190.0,948.0,1483,3537.0,HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.,161.0,36,True,2020-11-06 14:30:54.000000,3.1.0,25.0,h5py,conda-forge/h5py,,,,125675.0,102739.0,https://pypi.org/project/h5py,2020-11-06 14:30:54.000000,22936.0,3397526.0,3475681.0,https://anaconda.org/conda-forge/h5py,2021-01-01 10:48:16.133000,4610083.0,,,,,1.0,848.0,,,,,,,,,,,,,,,,,,,,,,\n23,Keras,keras-team/keras,,ml-frameworks,https://github.com/keras-team/keras,https://github.com/keras-team/keras,MIT,2015-03-28 00:35:42.000000,2021-02-18 06:10:15.000000,2021-02-17 08:13:33.000000,18712,3204.0,7233.0,50712,5410.0,Deep Learning for humans.,900.0,35,True,2020-06-24 22:40:48.000000,2.4.3,53.0,keras,conda-forge/keras,,https://keras.io,['tensorflow'],14996.0,,https://pypi.org/project/keras,2020-06-24 22:40:48.000000,14996.0,1250038.0,1276882.0,https://anaconda.org/conda-forge/keras,2020-06-25 19:13:34.254000,1449615.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n24,OpenAI Gym,openai/gym,,reinforcement-learning,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16.000000,2021-02-16 19:31:43.000000,2021-02-16 19:31:40.000000,6656,251.0,1062.0,23457,1242.0,A toolkit for developing and comparing reinforcement learning algorithms.,273.0,35,True,2020-12-19 00:29:36.000000,0.18.0,92.0,gym,,,,,21554.0,17992.0,https://pypi.org/project/gym,2020-12-19 00:29:36.000000,3562.0,237998.0,237998.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n25,Airflow,apache/airflow,,data-pipelines,https://github.com/apache/airflow,https://github.com/apache/airflow,Apache-2.0,2015-04-13 18:04:58.000000,2021-02-18 14:16:58.000000,2021-02-18 12:51:35.000000,7997,1002.0,1997.0,20705,11673.0,\"Platform to programmatically author, schedule, and monitor workflows.\",1751.0,35,True,2021-02-08 22:50:02.000000,2.0.1,71.0,apache-airflow,conda-forge/airflow,apache/airflow,,,294.0,,https://pypi.org/project/apache-airflow,2021-02-08 22:43:55.000000,294.0,467583.0,575125.0,https://anaconda.org/conda-forge/airflow,2021-02-16 09:49:35.732000,276157.0,https://hub.docker.com/r/apache/airflow,2021-02-17 01:51:09.850488,218.0,7002217.0,1.0,90774.0,,stable/airflow,,,,,,,,,,,,,,,,,,,,\n26,XGBoost,dmlc/xgboost,,ml-frameworks,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000000,2021-02-17 05:02:06.000000,2021-02-16 06:41:22.000000,7873,250.0,3670.0,20586,5229.0,\"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..\",503.0,35,True,2021-01-20 13:52:38.000000,1.3.3,53.0,xgboost,conda-forge/xgboost,,https://xgboost.readthedocs.io/en/latest/,,15503.0,13911.0,https://pypi.org/project/xgboost,2021-01-20 13:39:06.000000,1592.0,1748652.0,1778066.0,https://anaconda.org/conda-forge/xgboost,2020-12-10 13:41:20.626000,1381391.0,,,,,1.0,1916.0,,,,,,,,,,,,,,,,,,,,,,\n27,LightGBM,microsoft/LightGBM,,ml-frameworks,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000000,2021-02-18 05:02:28.000000,2021-02-18 02:28:39.000000,3176,92.0,2025.0,12190,2357.0,\"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..\",208.0,35,True,2020-12-08 03:00:35.000000,3.1.1,24.0,lightgbm,conda-forge/lightgbm,,,,6271.0,5715.0,https://pypi.org/project/lightgbm,2020-12-08 03:00:35.000000,556.0,961290.0,974889.0,https://anaconda.org/conda-forge/lightgbm,2021-01-15 08:38:34.182000,495108.0,,,,,1.0,95934.0,,,,,,,,,,,,,,,,,,,,,,\n28,gensim,RaRe-Technologies/gensim,,nlp,https://github.com/RaRe-Technologies/gensim,https://github.com/RaRe-Technologies/gensim,LGPL-2.1,2011-02-10 07:43:04.000000,2021-02-13 00:31:17.000000,2021-02-13 00:31:17.000000,3903,351.0,1255.0,11725,3849.0,Topic Modelling for Humans.,387.0,35,True,2020-05-04 05:55:15.000000,3.8.3,83.0,gensim,conda-forge/gensim,,,,25630.0,20888.0,https://pypi.org/project/gensim,2020-11-15 12:53:37.000000,4742.0,4418737.0,4433446.0,https://anaconda.org/conda-forge/gensim,2020-05-14 08:28:35.604000,601109.0,,,,,1.0,3043.0,,,,,,,,,,,,,,,,,,,,,,\n29,Plotly,plotly/plotly.py,,data-viz,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000000,2021-02-18 04:32:30.000000,2021-01-14 02:04:12.000000,1753,818.0,1052.0,8904,4923.0,The interactive graphing library for Python (includes Plotly Express).,162.0,35,True,2021-01-12 17:01:21.000000,4.14.3,265.0,plotly,conda-forge/plotly,,,,4991.0,5.0,https://pypi.org/project/plotly,2021-01-12 16:12:40.000000,4982.0,1830555.0,2101867.0,https://anaconda.org/conda-forge/plotly,2021-01-12 17:11:42.117000,1209144.0,,,,,1.0,,,,plotlywidget,https://www.npmjs.com/package/plotlywidget,2021-01-12 16:09:46.133000,4.0,248921.0,,,,,,,,,,,,,,,\n30,torchvision,pytorch/vision,,image,https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000000,2021-02-18 12:39:58.000000,2021-02-18 09:17:11.000000,4341,446.0,1117.0,8391,1487.0,\"Datasets, Transforms and Models specific to Computer Vision.\",362.0,35,True,2020-12-10 17:10:41.000000,0.8.2,21.0,torchvision,conda-forge/torchvision,,,['pytorch'],46409.0,41797.0,https://pypi.org/project/torchvision,2020-12-10 16:27:20.000000,4612.0,419440.0,420337.0,https://anaconda.org/conda-forge/torchvision,2018-10-14 22:06:28.203000,34111.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n31,dask,dask/dask,,distributed-ml,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000000,2021-02-18 15:03:27.000000,2021-02-17 18:04:53.000000,1220,731.0,2839.0,7925,6335.0,Parallel computing with task scheduling.,426.0,35,True,2021-02-05 19:29:50.000000,2021.2.0,112.0,dask,conda-forge/dask,,,,29254.0,25338.0,https://pypi.org/project/dask,2021-02-05 19:29:50.000000,3916.0,1021779.0,1074006.0,https://anaconda.org/conda-forge/dask,2021-02-06 12:05:38.376000,2976993.0,,,,,1.0,,,stable/dask,,,,,,,,,,,,,,,,,,,,\n32,Arrow,apache/arrow,,data-containers,https://github.com/apache/arrow,https://github.com/apache/arrow,Apache-2.0,2016-02-17 08:00:23.000000,2021-02-18 14:17:48.000000,2021-02-18 12:00:35.000000,1796,143.0,565.0,7201,8584.0,Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-..,628.0,35,True,2020-10-19 21:15:12.000000,2.0.0,30.0,pyarrow,conda-forge/arrow,,,,1017.0,31.0,https://pypi.org/project/pyarrow,2021-01-26 01:05:45.000000,986.0,10233464.0,10241775.0,https://anaconda.org/conda-forge/arrow,2021-01-12 20:46:01.093000,473774.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n33,joblib,joblib/joblib,,data-pipelines,https://github.com/joblib/joblib,https://github.com/joblib/joblib,BSD-3-Clause,2010-05-07 06:48:26.000000,2021-02-09 20:01:33.000000,2021-02-09 16:47:12.000000,286,291.0,354.0,2344,1367.0,Computing with Python functions.,98.0,35,True,2021-02-09 16:46:29.000000,1.0.1,100.0,joblib,conda-forge/joblib,,,,89223.0,82613.0,https://pypi.org/project/joblib,2021-02-09 16:46:29.000000,6610.0,10247614.0,10307917.0,https://anaconda.org/conda-forge/joblib,2021-02-09 19:26:28.194000,3316678.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n34,dash,plotly/dash,,data-viz,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000000,2021-02-15 19:52:46.000000,2021-02-15 19:52:46.000000,1414,405.0,560.0,13953,3543.0,\"Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.\",74.0,34,True,2021-01-20 00:00:50.000000,1.19.0,137.0,dash,conda-forge/dash,,,,19111.0,17503.0,https://pypi.org/project/dash,2021-01-19 23:50:28.000000,1608.0,160452.0,167023.0,https://anaconda.org/conda-forge/dash,2021-01-21 16:17:38.594000,216849.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n35,shap,slundberg/shap,,interpretability,https://github.com/slundberg/shap,https://github.com/slundberg/shap,MIT,2016-11-22 19:17:08.000000,2021-02-16 14:51:28.000000,2021-02-10 17:58:16.000000,1686,948.0,504.0,11726,1836.0,A game theoretic approach to explain the output of any machine learning model.,152.0,34,True,2021-01-15 18:02:54.000000,0.38.1,92.0,shap,conda-forge/shap,,,,2152.0,2016.0,https://pypi.org/project/shap,2020-11-04 21:38:32.000000,136.0,666400.0,679461.0,https://anaconda.org/conda-forge/shap,2020-12-16 19:26:39.477000,391858.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n36,nltk,nltk/nltk,,nlp,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58.000000,2021-02-14 14:23:53.000000,2021-02-10 00:34:01.000000,2434,233.0,1224.0,9633,,Suite of libraries and programs for symbolic and statistical natural language processing for English.,387.0,34,True,2019-08-20 10:55:21.000000,3.4.5,39.0,nltk,conda-forge/nltk,,,,110551.0,89559.0,https://pypi.org/project/nltk,2020-04-12 23:46:10.000000,20992.0,3487696.0,3499265.0,https://anaconda.org/conda-forge/nltk,2019-08-08 17:07:46.504000,624729.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n37,Theano,Theano/Theano,,ml-frameworks,https://github.com/Theano/Theano,https://github.com/Theano/Theano,BSD-3-Clause,2011-08-10 03:48:06.000000,2021-01-27 07:16:52.000000,2020-09-05 10:39:50.000000,2501,674.0,2081.0,9355,28123.0,\"Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-..\",382.0,34,True,2020-07-27 16:13:54.000000,1.0.5,45.0,theano,conda-forge/theano,,,,15728.0,10254.0,https://pypi.org/project/theano,2020-07-27 16:13:54.000000,5474.0,114210.0,138092.0,https://anaconda.org/conda-forge/theano,2021-01-21 21:14:21.756000,1313544.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n38,xlrd,python-excel/xlrd,,data-loading,https://github.com/python-excel/xlrd,https://github.com/python-excel/xlrd,BSD-3-Clause,2012-03-07 04:50:48.000000,2021-01-09 20:35:27.639000,2020-12-12 15:24:25.000000,406,3.0,,1860,502.0,Please use openpyxl where you can...,50.0,34,True,2020-12-11 10:14:20.000000,2.0.1,24.0,xlrd,conda-forge/xlrd,,,,77770.0,64196.0,https://pypi.org/project/xlrd,2020-12-11 10:14:20.000000,13574.0,3650454.0,3676333.0,https://anaconda.org/conda-forge/xlrd,2021-01-09 20:35:27.639000,1216333.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n39,dask.distributed,dask/distributed,,distributed-ml,https://github.com/dask/distributed,https://github.com/dask/distributed,BSD-3-Clause,2015-09-13 18:42:29.000000,2021-02-18 10:25:36.000000,2021-02-17 15:35:25.000000,508,736.0,1267.0,1148,3800.0,A distributed task scheduler for Dask.,227.0,34,True,2021-02-05 19:40:27.000000,2021.2.0,143.0,distributed,conda-forge/distributed,,,,18492.0,16714.0,https://pypi.org/project/distributed,2021-02-05 19:40:27.000000,1778.0,671528.0,736701.0,https://anaconda.org/conda-forge/distributed,2021-02-06 03:40:27.263000,3714908.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n40,MXNet,apache/incubator-mxnet,,ml-frameworks,https://github.com/apache/incubator-mxnet,https://github.com/apache/incubator-mxnet,Apache-2.0,2015-04-30 16:21:15.000000,2021-02-18 13:39:33.000000,2021-02-18 02:49:29.000000,6807,1814.0,7578.0,19271,11521.0,\"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..\",948.0,33,True,2020-08-28 05:08:24.000000,1.7.0,977.0,mxnet,mxnet,,,['mxnet'],2265.0,1821.0,https://pypi.org/project/mxnet,2021-02-07 21:07:57.000000,444.0,91672.0,92236.0,https://anaconda.org/anaconda/mxnet,2020-02-29 00:58:31.007000,5806.0,,,,,2.0,23510.0,,,,,,,,0.0,,,,,,,,,,,,,,\n41,PyFlink,apache/flink,,ml-frameworks,https://github.com/apache/flink,https://github.com/apache/flink,Apache-2.0,2014-06-07 07:00:10.000000,2021-02-18 13:36:37.000000,2021-02-18 13:34:51.000000,8542,499.0,,15527,25694.0,Apache Flink Python API.,1194.0,33,True,2021-01-15 01:51:44.000000,1.12.1,13.0,apache-flink,,,,,255.0,255.0,https://pypi.org/project/apache-flink,2021-01-15 01:51:44.000000,0.0,1706.0,1706.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n42,Bokeh,bokeh/bokeh,,data-viz,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000000,2021-02-18 13:29:11.000000,2021-02-18 13:29:08.000000,3631,614.0,5762.0,14680,,\"Interactive Data Visualization in the browser, from Python.\",548.0,33,True,2020-10-21 02:39:03.000000,2.2.3,85.0,bokeh,conda-forge/bokeh,,,,36528.0,30656.0,https://pypi.org/project/bokeh,2021-02-10 20:32:38.000000,5872.0,619131.0,701216.0,https://anaconda.org/conda-forge/bokeh,2021-01-13 10:22:16.472000,3775918.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n43,luigi,spotify/luigi,,data-pipelines,https://github.com/spotify/luigi,https://github.com/spotify/luigi,Apache-2.0,2012-09-20 15:06:38.000000,2021-02-18 12:00:21.000000,2021-02-17 13:49:55.000000,2207,63.0,839.0,14209,3947.0,\"Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution,..\",551.0,33,True,2020-09-23 11:57:43.000000,3.0.2,72.0,luigi,luigi,,,,2012.0,1336.0,https://pypi.org/project/luigi,2020-09-23 11:57:12.000000,676.0,323736.0,323845.0,https://anaconda.org/anaconda/luigi,2020-07-21 19:50:10.849000,6551.0,,,,,1.0,,,stable/luigi,,,,,,,,,,,,,,,,,,,,\n44,pytorch-lightning,PyTorchLightning/pytorch-lightning,,ml-frameworks,https://github.com/PyTorchLightning/pytorch-lightning,https://github.com/PyTorchLightning/pytorch-lightning,Apache-2.0,2019-03-31 00:45:57.000000,2021-02-18 14:14:15.000000,2021-02-18 13:51:51.000000,1392,299.0,2626.0,11984,4402.0,\"The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.\",392.0,33,True,2021-02-08 09:00:51.000000,1.1.8,152.0,pytorch-lightning,conda-forge/pytorch-lightning,,,['pytorch'],1972.0,1958.0,https://pypi.org/project/pytorch-lightning,2021-02-13 13:43:10.000000,14.0,89549.0,94493.0,https://anaconda.org/conda-forge/pytorch-lightning,2021-02-08 10:49:51.990000,39518.0,,,,,2.0,112.0,,,,,,,,,,,,,,,,,,,,,,\n45,onnx,onnx/onnx,,model-serialisation,https://github.com/onnx/onnx,https://github.com/onnx/onnx,Apache-2.0,2017-09-07 04:53:45.000000,2021-02-18 12:16:14.000000,2021-02-17 22:38:07.000000,1812,514.0,949.0,9782,1682.0,Open standard for machine learning interoperability.,192.0,33,True,2021-01-30 01:25:24.000000,1.8.1,20.0,onnx,conda-forge/onnx,,,,2849.0,2553.0,https://pypi.org/project/onnx,2021-01-29 23:57:20.000000,296.0,229224.0,234373.0,https://anaconda.org/conda-forge/onnx,2021-02-03 21:06:56.548000,190716.0,,,,,1.0,10394.0,,,,,,,,,,,,,,,,,,,,,,\n46,pydeck,visgl/deck.gl,,geospatial-data,https://github.com/visgl/deck.gl,https://github.com/visgl/deck.gl,MIT,2015-12-15 08:38:29.000000,2021-02-18 01:19:40.000000,2021-02-18 01:19:39.000000,1519,88.0,1972.0,8445,3561.0,WebGL2 powered geospatial visualization layers.,152.0,33,True,2021-02-16 21:12:46.641000,8.4.6,453.0,pydeck,conda-forge/pydeck,,,['jupyter'],1985.0,1423.0,https://pypi.org/project/pydeck,2021-02-12 18:57:45.000000,2.0,76746.0,263595.0,https://anaconda.org/conda-forge/pydeck,2021-02-12 20:05:23.366000,15339.0,,,,,1.0,,,,deck.gl,https://www.npmjs.com/package/deck.gl,2021-02-16 21:12:46.641000,560.0,185571.0,,,,,,,,,,,,,,,\n47,rq,rq/rq,,data-pipelines,https://github.com/rq/rq,https://github.com/rq/rq,BSD-3-Clause,2011-11-14 10:53:48.000000,2021-02-15 11:43:01.000000,2021-02-09 01:19:33.000000,1192,139.0,680.0,7524,1554.0,Simple job queues for Python.,227.0,33,True,2020-11-29 09:48:18.000000,1.7.0,63.0,rq,conda-forge/rq,,,,10630.0,7306.0,https://pypi.org/project/rq,2020-11-29 09:47:08.000000,3324.0,185410.0,186226.0,https://anaconda.org/conda-forge/rq,2020-11-29 15:11:15.371000,44931.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n48,Fastai,fastai/fastai,,ml-frameworks,https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000000,2021-02-16 04:01:27.000000,2021-02-09 23:03:16.000000,6945,70.0,1319.0,20456,1677.0,The fastai deep learning library.,472.0,32,True,2021-02-08 21:27:20.000000,2.2.5,116.0,fastai,,,,['pytorch'],368.0,,https://pypi.org/project/fastai,2021-01-13 19:38:43.000000,368.0,86483.0,86483.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n49,Ray,ray-project/ray,,distributed-ml,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000000,2021-02-18 13:07:49.000000,2021-02-18 13:07:49.000000,2395,1300.0,4738.0,14867,7273.0,\"An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged..\",439.0,32,True,2021-02-13 01:42:06.000000,ray-1.2.0,44.0,ray,,,,,1797.0,1637.0,https://pypi.org/project/ray,2021-02-13 01:38:33.000000,160.0,135710.0,135710.0,,,,,,,,1.0,,-1.0,,,,,,,,,,,,,,,,,,,,,\n50,jax,google/jax,,ml-frameworks,https://github.com/google/jax,https://github.com/google/jax,Apache-2.0,2018-10-25 21:25:02.000000,2021-02-18 14:22:05.000000,2021-02-18 01:32:46.000000,997,742.0,1431.0,11532,6976.0,\"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.\",255.0,32,True,2021-01-27 04:52:22.000000,0.2.9,88.0,jax,conda-forge/jaxlib,,,,1155.0,1109.0,https://pypi.org/project/jax,2021-01-27 04:52:22.000000,46.0,69422.0,73579.0,https://anaconda.org/conda-forge/jaxlib,2021-02-12 21:37:49.873000,78986.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n51,dlib,davisking/dlib,,ml-frameworks,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000000,2021-02-17 01:33:27.000000,2021-02-17 01:31:55.000000,2876,47.0,1820.0,9889,7917.0,A toolkit for making real world machine learning and data analysis applications in C++.,164.0,32,False,2020-12-04 19:23:04.000000,19.21.1,28.0,dlib,conda-forge/dlib,,,,9763.0,8405.0,https://pypi.org/project/dlib,2020-12-04 19:23:04.000000,1358.0,35909.0,41385.0,https://anaconda.org/conda-forge/dlib,2021-01-14 21:24:20.585000,271260.0,,,,,2.0,24363.0,,,,,,,,,,,,,,,,,,,,,,\n52,AllenNLP,allenai/allennlp,,nlp,https://github.com/allenai/allennlp,https://github.com/allenai/allennlp,Apache-2.0,2017-05-15 15:52:41.000000,2021-02-18 01:10:30.000000,2021-02-17 21:33:57.000000,1990,108.0,2153.0,9683,2357.0,\"An open-source NLP research library, built on PyTorch.\",232.0,32,True,2021-01-29 23:34:22.000000,1.4.1,170.0,allennlp,,,,['pytorch'],1673.0,1439.0,https://pypi.org/project/allennlp,2021-02-16 11:52:14.000000,234.0,12406.0,12406.0,,,,,,,,1.0,36.0,,,,,,,,,,,,,,,,,,,,,,\n53,mlflow,mlflow/mlflow,,ml-experiments,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000000,2021-02-18 14:05:50.000000,2021-02-18 05:12:35.000000,1879,698.0,1051.0,8416,1898.0,Open source platform for the machine learning lifecycle.,282.0,32,True,2020-12-31 09:17:41.000000,1.13.1,40.0,mlflow,conda-forge/mlflow,,,,154.0,,https://pypi.org/project/mlflow,2020-12-31 08:55:08.000000,154.0,1682051.0,1692077.0,https://anaconda.org/conda-forge/mlflow,2021-01-28 17:21:24.799000,220585.0,,,,,1.0,,-2.0,,,,,,,,,,,,,,,,,,,,,\n54,PyMC3,pymc-devs/pymc3,,probabilistics,https://github.com/pymc-devs/pymc3,https://github.com/pymc-devs/pymc3,Apache-2.0,2009-05-05 09:43:50.000000,2021-02-15 18:24:05.000000,2021-02-12 16:35:56.000000,1346,148.0,1997.0,5566,7667.0,Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano.,307.0,32,True,2021-02-12 18:39:44.000000,3.11.1,32.0,pymc3,conda-forge/pymc3,,,,2361.0,2075.0,https://pypi.org/project/pymc3,2021-02-12 18:40:12.000000,286.0,84166.0,88952.0,https://anaconda.org/conda-forge/pymc3,2021-02-14 13:44:24.828000,248870.0,,,,,1.0,150.0,,,,,,,,,,,,,,,,,,,,,,\n55,folium,python-visualization/folium,,geospatial-data,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000000,2021-02-08 13:46:29.000000,2021-01-18 17:35:27.000000,1899,148.0,690.0,5134,1473.0,Python Data. Leaflet.js Maps.,120.0,32,True,2021-01-18 17:29:40.000000,0.12.1,25.0,folium,conda-forge/folium,,,,9496.0,8528.0,https://pypi.org/project/folium,2021-01-18 17:29:40.000000,968.0,143920.0,149465.0,https://anaconda.org/conda-forge/folium,2021-01-06 21:06:10.173000,327172.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n56,Beam,apache/beam,,data-pipelines,https://github.com/apache/beam,https://github.com/apache/beam,Apache-2.0,2016-02-02 08:00:06.000000,2021-02-18 14:42:00.000000,2021-02-18 13:46:23.000000,2871,146.0,,4580,30653.0,\"Unified programming model to define and execute data processing pipelines, including ETL, batch and stream processing.\",1018.0,32,True,2021-01-08 20:56:28.000000,2.27.0,30.0,apache-beam,,,,,186.0,,https://pypi.org/project/apache-beam,2021-01-08 20:08:17.000000,186.0,943970.0,943970.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n57,geopy,geopy/geopy,,geospatial-data,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000000,2021-02-10 16:09:04.000000,2020-12-27 16:15:28.000000,535,25.0,212.0,3217,1004.0,Geocoding library for Python.,117.0,32,True,2020-12-27 13:15:23.000000,2.1.0,57.0,geopy,conda-forge/geopy,,,,23981.0,16737.0,https://pypi.org/project/geopy,2020-12-27 13:12:21.000000,7244.0,2663363.0,2672028.0,https://anaconda.org/conda-forge/geopy,2020-12-27 14:22:55.127000,511243.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n58,tensorflow-hub,tensorflow/hub,,tensorflow-utils,https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42.000000,2021-02-17 07:54:10.000000,2021-02-17 07:54:07.000000,1443,45.0,515.0,2717,833.0,A library for transfer learning by reusing parts of TensorFlow models.,67.0,32,True,2021-01-06 16:20:30.000000,0.11.0,14.0,tensorflow-hub,conda-forge/tensorflow-hub,,,['tensorflow'],5744.0,5430.0,https://pypi.org/project/tensorflow-hub,2021-01-06 16:20:30.000000,314.0,577706.0,579249.0,https://anaconda.org/conda-forge/tensorflow-hub,2020-08-24 16:43:36.561000,49402.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n59,Thinc,explosion/thinc,,ml-frameworks,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59.000000,2021-02-17 13:12:41.000000,2021-02-17 13:12:41.000000,197,11.0,88.0,2191,4904.0,\"A refreshing functional take on deep learning, compatible with your favorite libraries.\",36.0,32,True,2021-01-24 04:05:27.000000,8.0.1,188.0,thinc,conda-forge/thinc,,,,12390.0,11252.0,https://pypi.org/project/thinc,2021-01-24 04:05:27.000000,1138.0,669102.0,687563.0,https://anaconda.org/conda-forge/thinc,2021-02-03 12:19:56.063000,886130.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n60,Shapely,Toblerity/Shapely,,geospatial-data,https://github.com/Toblerity/Shapely,https://github.com/Toblerity/Shapely,BSD-3-Clause,2011-12-31 19:43:11.000000,2021-02-18 13:33:11.000000,2021-02-18 13:33:10.000000,386,150.0,575.0,2151,1488.0,Manipulation and analysis of geometric objects.,106.0,32,True,2020-08-20 23:31:01.000000,1.7.1,99.0,shapely,conda-forge/shapely,,,,21807.0,16349.0,https://pypi.org/project/shapely,2020-08-20 23:31:01.000000,5458.0,1448166.0,1480507.0,https://anaconda.org/conda-forge/shapely,2021-02-12 15:19:51.518000,2069863.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n61,xarray,pydata/xarray,,data-containers,https://github.com/pydata/xarray,https://github.com/pydata/xarray,Apache-2.0,2013-09-30 17:21:10.000000,2021-02-18 00:28:10.000000,2021-02-18 00:28:10.000000,625,785.0,1908.0,1932,3522.0,N-D labeled arrays and datasets in Python.,294.0,32,True,2020-11-30 21:28:55.000000,0.16.2,55.0,xarray,conda-forge/xarray,,,,6334.0,5202.0,https://pypi.org/project/xarray,2020-11-30 21:26:20.000000,1132.0,194275.0,235692.0,https://anaconda.org/conda-forge/xarray,2020-12-01 04:59:09.242000,2443653.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n62,python-magic,ahupp/python-magic,,data-loading,https://github.com/ahupp/python-magic,https://github.com/ahupp/python-magic,MIT,2010-03-31 22:40:33.000000,2021-02-17 06:19:13.000000,2021-02-17 04:01:28.000000,217,29.0,130.0,1826,279.0,A python wrapper for libmagic.,49.0,32,True,2021-02-17 06:19:13.000000,0.4.22,22.0,python-magic,conda-forge/python-magic,,,,17196.0,12064.0,https://pypi.org/project/python-magic,2021-02-17 06:19:13.000000,5132.0,1025120.0,1026785.0,https://anaconda.org/conda-forge/python-magic,2020-12-24 22:42:00.639000,76611.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n63,jieba,fxsjy/jieba,,chinese-nlp,https://github.com/fxsjy/jieba,https://github.com/fxsjy/jieba,MIT,2012-09-29 07:52:01.000000,2020-12-05 18:32:32.000000,2020-02-15 08:33:35.000000,6065,592.0,196.0,25515,523.0,Chinese Words Segmentation Utilities.,48.0,31,True,2020-01-20 14:27:23.000000,0.42.1,32.0,jieba,conda-forge/jieba,,,,11800.0,9284.0,https://pypi.org/project/jieba,2020-01-20 14:27:23.000000,2516.0,93370.0,94839.0,https://anaconda.org/conda-forge/jieba,2020-03-25 20:57:40.090000,67579.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n64,tensor2tensor,tensorflow/tensor2tensor,,tensorflow-utils,https://github.com/tensorflow/tensor2tensor,https://github.com/tensorflow/tensor2tensor,Apache-2.0,2017-06-15 16:57:39.000000,2021-02-10 18:44:43.000000,2021-02-10 18:44:34.000000,2806,553.0,664.0,10923,4346.0,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,231.0,31,True,2020-06-17 16:15:36.000000,1.15.7,79.0,tensor2tensor,,,,['tensorflow'],1073.0,909.0,https://pypi.org/project/tensor2tensor,2020-06-17 16:15:36.000000,164.0,56546.0,56546.0,,,,,,,,1.0,,-1.0,,,,,,,,,,,,,,,,,,,,,\n65,ChatterBot,gunthercox/ChatterBot,,nlp,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00.000000,2021-02-15 17:45:45.000000,2020-08-20 21:16:14.000000,3667,223.0,1226.0,10839,1847.0,\"ChatterBot is a machine learning, conversational dialog engine for creating chat bots.\",103.0,31,True,2020-08-22 18:42:43.000000,1.0.8,86.0,chatterbot,,,,,3855.0,3175.0,https://pypi.org/project/chatterbot,2020-08-22 18:40:36.000000,680.0,18063.0,18063.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n66,imgaug,aleju/imgaug,,image,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33.000000,2020-10-19 12:23:22.000000,2020-06-01 14:58:26.000000,1962,219.0,205.0,10699,2913.0,Image augmentation for machine learning experiments.,36.0,31,True,2020-02-06 06:18:40.000000,0.4.0,11.0,imgaug,conda-forge/imgaug,,,,5896.0,5340.0,https://pypi.org/project/imgaug,2020-02-05 20:54:22.000000,556.0,88207.0,89891.0,https://anaconda.org/conda-forge/imgaug,2020-02-14 16:06:53.525000,33696.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n67,pyecharts,pyecharts/pyecharts,,data-viz,https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000000,2021-02-08 07:14:13.000000,2021-01-19 10:14:13.000000,2355,25.0,1344.0,10572,1512.0,Python Echarts Plotting Library.,30.0,31,True,2020-10-29 15:14:08.000000,1.9.0,66.0,pyecharts,,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,['jupyter'],1769.0,1487.0,https://pypi.org/project/pyecharts,2020-10-29 15:14:08.000000,282.0,10824.0,10824.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n68,wordcloud,amueller/word_cloud,,data-viz,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59.000000,2021-01-21 10:00:39.000000,2020-11-11 21:35:51.000000,2025,97.0,344.0,7881,540.0,A little word cloud generator in Python.,59.0,31,True,2020-11-11 21:41:02.000000,1.8.1,16.0,wordcloud,conda-forge/wordcloud,,,,10063.0,8959.0,https://pypi.org/project/wordcloud,2020-11-11 21:41:02.000000,1104.0,163786.0,167290.0,https://anaconda.org/conda-forge/wordcloud,2021-01-14 18:03:24.960000,189260.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n69,Altair,altair-viz/altair,,data-viz,https://github.com/altair-viz/altair,https://github.com/altair-viz/altair,BSD-3-Clause,2015-09-19 03:14:04.000000,2021-02-12 17:43:55.000000,2021-02-10 19:46:31.000000,570,287.0,1210.0,6428,3057.0,Declarative statistical visualization library for Python.,125.0,31,True,2020-04-01 13:29:16.000000,4.1.0,26.0,altair,conda-forge/altair,,,,8539.0,8169.0,https://pypi.org/project/altair,2020-04-01 13:23:10.000000,370.0,442466.0,453655.0,https://anaconda.org/conda-forge/altair,2020-04-01 16:49:36.519000,615415.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n70,Catboost,catboost/catboost,,ml-frameworks,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000000,2021-02-18 13:00:11.000000,2021-02-18 13:00:07.000000,861,319.0,1048.0,5696,14845.0,\"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..\",738.0,31,True,2020-12-27 09:12:53.000000,0.24.4,91.0,catboost,conda-forge/catboost,,,,162.0,,https://pypi.org/project/catboost,2020-12-27 06:58:33.000000,162.0,507025.0,525765.0,https://anaconda.org/conda-forge/catboost,2020-12-29 11:38:06.128000,578784.0,,,,,2.0,49319.0,,,,,,,,,,,,,,,,,,,,,,\n71,Chainer,chainer/chainer,,ml-frameworks,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37.000000,2021-02-17 11:20:21.000000,2021-02-17 11:20:21.000000,1370,18.0,2016.0,5529,30575.0,A flexible framework of neural networks for deep learning.,318.0,31,True,2021-01-13 10:14:54.000000,7.0.0.post1,109.0,chainer,,,,,2638.0,1896.0,https://pypi.org/project/chainer,2021-01-13 09:29:55.000000,742.0,12587.0,12587.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n72,imbalanced-learn,scikit-learn-contrib/imbalanced-learn,,sklearn-utils,https://github.com/scikit-learn-contrib/imbalanced-learn,https://github.com/scikit-learn-contrib/imbalanced-learn,MIT,2014-08-16 05:08:26.000000,2021-02-18 14:00:33.000000,2021-02-18 13:54:47.000000,1065,30.0,420.0,5027,735.0,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,54.0,31,True,2021-02-18 14:00:33.000000,0.8.0,27.0,imbalanced-learn,conda-forge/imbalanced-learn,,,['sklearn'],4413.0,4133.0,https://pypi.org/project/imbalanced-learn,2021-02-18 13:50:00.000000,280.0,476902.0,479646.0,https://anaconda.org/conda-forge/imbalanced-learn,2020-06-14 14:47:57.352000,109765.0,,,,,1.0,,2.0,,,,,,,,,,,,,,,,,,,,,\n73,CuPy,cupy/cupy,,gpu-utilities,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000000,2021-02-18 15:10:56.000000,2021-02-18 11:23:27.000000,435,366.0,898.0,4835,20704.0,A NumPy-compatible array library accelerated by CUDA.,253.0,31,True,2021-01-28 05:28:01.000000,8.4.0,87.0,cupy,conda-forge/cupy,cupy/cupy,,,858.0,666.0,https://pypi.org/project/cupy,2021-01-28 01:38:53.000000,192.0,15798.0,40615.0,https://anaconda.org/conda-forge/cupy,2021-02-02 18:28:34.210000,379128.0,https://hub.docker.com/r/cupy/cupy,2021-02-18 11:28:31.821660,6.0,48341.0,1.0,8433.0,,,,,,,,,,,,,,,,,,,,,,\n74,sentencepiece,google/sentencepiece,,nlp,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000000,2021-02-10 19:00:37.000000,2021-01-12 17:23:24.000000,651,26.0,393.0,4816,662.0,Unsupervised text tokenizer for Neural Network-based text generation.,48.0,31,True,2021-01-10 06:29:42.000000,0.1.95,30.0,sentencepiece,conda-forge/sentencepiece,,,,6169.0,5929.0,https://pypi.org/project/sentencepiece,2021-01-10 06:29:42.000000,240.0,739557.0,744166.0,https://anaconda.org/conda-forge/sentencepiece,2021-02-09 05:49:50.247000,29773.0,,,,,1.0,10700.0,,,,,,,,,,,,,,,,,,,,,,\n75,xmltodict,martinblech/xmltodict,,data-loading,https://github.com/martinblech/xmltodict,https://github.com/martinblech/xmltodict,MIT,2012-04-17 14:38:21.000000,2021-02-08 17:46:25.000000,2020-04-26 05:15:03.000000,399,63.0,135.0,4273,205.0,Python module that makes working with XML feel like you are working with JSON.,41.0,31,True,2019-02-11 07:00:26.000000,0.12.0,27.0,xmltodict,conda-forge/xmltodict,,,,29745.0,21511.0,https://pypi.org/project/xmltodict,2019-02-11 07:00:26.000000,8234.0,2905243.0,2917732.0,https://anaconda.org/conda-forge/xmltodict,2019-02-11 11:53:14.803000,674447.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n76,Optuna,optuna/optuna,,hyperopt,https://github.com/optuna/optuna,https://github.com/optuna/optuna,MIT,2018-02-21 06:12:56.000000,2021-02-18 14:53:17.000000,2021-02-18 10:53:29.000000,462,212.0,491.0,4105,9151.0,A hyperparameter optimization framework.,127.0,31,True,2021-02-01 06:18:14.000000,2.5.0,35.0,optuna,conda-forge/optuna,,,,1038.0,986.0,https://pypi.org/project/optuna,2021-02-01 06:18:14.000000,52.0,135506.0,136745.0,https://anaconda.org/conda-forge/optuna,2021-02-02 01:24:13.010000,18598.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n77,Tablib,jazzband/tablib,,data-loading,https://github.com/jazzband/tablib,https://github.com/jazzband/tablib,MIT,2011-03-28 02:36:50.000000,2020-12-13 06:03:08.000000,2020-12-11 07:22:54.000000,560,34.0,197.0,3865,1123.0,\"Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c.\",110.0,31,True,2020-12-05 14:56:28.000000,3.0.0,38.0,tablib,conda-forge/tablib,,,,11761.0,9403.0,https://pypi.org/project/tablib,2020-12-05 14:56:28.000000,2358.0,373590.0,374711.0,https://anaconda.org/conda-forge/tablib,2020-12-05 16:40:48.469000,57185.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n78,tensorflow-probability,tensorflow/probability,,probabilistics,https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000000,2021-02-18 15:14:38.000000,2021-02-18 15:14:34.000000,853,432.0,545.0,3237,10277.0,Probabilistic reasoning and statistical analysis in TensorFlow.,404.0,31,True,2020-12-29 18:40:25.000000,0.12.1,35.0,tensorflow-probability,conda-forge/tensorflow-probability,,,['tensorflow'],253.0,1.0,https://pypi.org/project/tensorflow-probability,2020-12-29 17:46:08.000000,252.0,255204.0,256479.0,https://anaconda.org/conda-forge/tensorflow-probability,2021-02-10 20:08:40.633000,30609.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n79,TensorFlow Datasets,tensorflow/datasets,,data-loading,https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000000,2021-02-18 14:13:28.000000,2021-02-17 20:39:50.000000,955,396.0,541.0,2671,3795.0,\"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...\",184.0,31,True,2021-01-07 09:50:58.000000,4.2.0,21.0,tensorflow-datasets,,,,['tensorflow'],3787.0,3685.0,https://pypi.org/project/tensorflow-datasets,2021-01-07 09:50:58.000000,102.0,358551.0,358551.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n80,GeoPandas,geopandas/geopandas,,geospatial-data,https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000000,2021-02-17 22:23:35.000000,2021-02-17 21:14:55.000000,528,294.0,679.0,2472,1329.0,Python tools for geographic data.,130.0,31,True,2021-01-25 20:51:26.000000,0.8.2,36.0,geopandas,conda-forge/geopandas,,,['pandas'],8426.0,7260.0,https://pypi.org/project/geopandas,2021-01-25 20:51:23.000000,1166.0,354819.0,369356.0,https://anaconda.org/conda-forge/geopandas,2021-01-25 21:28:29.004000,856759.0,,,,,2.0,892.0,,,,,,,,,,,,,,,,,,,,,,\n81,numexpr,pydata/numexpr,,data-containers,https://github.com/pydata/numexpr,https://github.com/pydata/numexpr,MIT,2013-11-30 22:33:48.000000,2021-02-12 15:43:28.000000,2021-02-12 15:43:28.000000,163,53.0,248.0,1535,679.0,\"Fast numerical array expression evaluator for Python, NumPy, PyTables, pandas, bcolz and more.\",56.0,31,True,2020-12-29 18:58:07.000000,2.7.2,39.0,numexpr,conda-forge/numexpr,,,,5482.0,,https://pypi.org/project/numexpr,2020-12-29 06:35:00.000000,5482.0,429914.0,470513.0,https://anaconda.org/conda-forge/numexpr,2021-01-13 23:35:13.025000,2192395.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n82,TF Addons,tensorflow/addons,,tensorflow-utils,https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17.000000,2021-02-18 13:33:22.000000,2021-02-15 21:58:11.000000,421,172.0,624.0,1196,1337.0,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,149.0,31,True,2021-01-30 13:40:21.000000,0.12.1,25.0,tensorflow-addons,,,,['tensorflow'],2285.0,2267.0,https://pypi.org/project/tensorflow-addons,2021-01-30 13:59:33.000000,18.0,250074.0,250074.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n83,imageio,imageio/imageio,,image,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000000,2021-02-18 10:29:47.000000,2021-02-12 14:18:43.000000,168,66.0,272.0,833,1132.0,Python library for reading and writing image data.,74.0,31,True,2020-07-10 07:45:22.000000,2.9.0,31.0,imageio,conda-forge/imageio,,,,40371.0,36533.0,https://pypi.org/project/imageio,2020-07-06 13:20:41.000000,3838.0,1400377.0,1435239.0,https://anaconda.org/conda-forge/imageio,2020-07-06 14:13:25.518000,1708249.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n84,fastText,facebookresearch/fastText,,nlp,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000000,2021-01-15 15:28:41.000000,2020-07-18 00:20:40.000000,4299,435.0,592.0,22240,379.0,Library for fast text representation and classification.,58.0,30,True,2020-04-28 09:54:50.000000,0.9.2,35.0,fasttext,conda-forge/fasttext,,,,1706.0,1516.0,https://pypi.org/project/fasttext,2020-04-28 09:54:50.000000,190.0,90435.0,90878.0,https://anaconda.org/conda-forge/fasttext,2020-10-12 14:55:45.199000,17726.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n85,PaddlePaddle,PaddlePaddle/Paddle,,ml-frameworks,https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000000,2021-02-18 13:49:01.000000,2021-02-18 13:49:00.000000,3550,2343.0,10447.0,14304,15069.0,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,495.0,30,True,2021-02-01 02:31:35.000000,2.0.0,42.0,paddlepaddle,,,,['paddle'],44.0,28.0,https://pypi.org/project/paddlepaddle,2021-01-25 11:50:59.000000,16.0,4055.0,4337.0,,,,,,,,2.0,15250.0,,,,,,,,,,,,,,,,,,,,,,\n86,zipline,quantopian/zipline,,financial-data,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29.000000,2021-02-14 16:26:07.000000,2020-10-14 16:36:49.000000,3842,333.0,647.0,13372,6226.0,\"Zipline, a Pythonic Algorithmic Trading Library.\",151.0,30,True,2020-10-05 15:46:20.429000,1.4.1,30.0,zipline,,,,,835.0,677.0,https://pypi.org/project/zipline,2020-10-05 15:46:20.429000,158.0,2824.0,2824.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n87,fairseq,pytorch/fairseq,,nlp,https://github.com/pytorch/fairseq,https://github.com/pytorch/fairseq,MIT,2017-08-29 16:26:12.000000,2021-02-18 11:43:01.000000,2021-02-18 11:10:55.000000,2851,650.0,1804.0,11265,1774.0,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,304.0,30,True,2021-01-05 20:26:45.000000,0.10.2,13.0,fairseq,,,,['pytorch'],324.0,304.0,https://pypi.org/project/fairseq,2021-01-05 20:26:45.000000,20.0,7001.0,7004.0,,,,,,,,1.0,101.0,,,,,,,,,,,,,,,,,,,,,,\n88,flair,flairNLP/flair,,nlp,https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,MIT,2018-06-11 11:04:18.000000,2021-02-17 10:00:29.000000,2021-02-17 10:00:29.000000,1488,97.0,1348.0,9957,3068.0,A very simple framework for state-of-the-art Natural Language Processing (NLP).,162.0,30,True,2020-12-01 19:35:00.000000,0.7,19.0,flair,,,,['pytorch'],671.0,623.0,https://pypi.org/project/flair,2020-12-01 19:02:38.000000,48.0,34478.0,34478.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n89,TFlearn,tflearn/tflearn,,ml-frameworks,https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,MIT,2016-03-31 12:05:53.000000,2021-01-25 09:41:59.000000,2020-11-30 04:34:51.000000,2431,565.0,360.0,9521,613.0,Deep learning library featuring a higher-level API for TensorFlow.,128.0,30,True,2020-11-11 19:26:11.000000,0.5.0,8.0,tflearn,,,,['tensorflow'],3978.0,3016.0,https://pypi.org/project/tflearn,2020-11-11 19:13:47.000000,962.0,6675.0,6675.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n90,Annoy,spotify/annoy,,nn-search,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40.000000,2021-01-20 15:53:49.000000,2020-12-03 18:21:18.000000,872,30.0,266.0,8130,785.0,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,68.0,30,True,2020-09-18 16:07:59.000000,1.17.0,43.0,annoy,,,,,1818.0,1458.0,https://pypi.org/project/annoy,2020-09-18 16:07:59.000000,360.0,121589.0,121589.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n91,Vowpal Wabbit,VowpalWabbit/vowpal_wabbit,,ml-frameworks,https://github.com/VowpalWabbit/vowpal_wabbit,https://github.com/VowpalWabbit/vowpal_wabbit,BSD-3-Clause,2009-07-31 19:36:58.000000,2021-02-18 14:07:02.000000,2021-02-18 14:07:02.000000,1710,165.0,864.0,7438,9016.0,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,298.0,30,True,2021-01-27 21:17:28.000000,8.9.1,13.0,vowpalwabbit,,,,,118.0,102.0,https://pypi.org/project/vowpalwabbit,2020-11-12 14:41:09.000000,16.0,10818.0,10818.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n92,DVC,iterative/dvc,,ml-experiments,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000000,2021-02-18 14:44:31.000000,2021-02-18 13:24:47.000000,696,517.0,2196.0,7308,6334.0,Data Version Control | Git for Data & Models.,208.0,30,True,2021-02-15 19:01:24.000000,1.11.16,295.0,dvc,conda-forge/dvc,,,,625.0,579.0,https://pypi.org/project/dvc,2021-02-15 19:01:24.000000,46.0,45754.0,72757.0,https://anaconda.org/conda-forge/dvc,2021-02-15 22:37:56.955000,480667.0,,,,,1.0,18756.0,,,,,,,,,dvc,dvc,dvc,,,,,,,,,,,\n93,Prefect,PrefectHQ/prefect,,data-pipelines,https://github.com/PrefectHQ/prefect,https://github.com/PrefectHQ/prefect,Apache-2.0,2018-06-29 21:59:26.000000,2021-02-17 16:09:03.000000,2021-02-17 16:09:02.000000,522,241.0,1339.0,5871,13383.0,The easiest way to automate your data.,183.0,30,True,2021-02-16 19:59:31.000000,0.14.9,86.0,prefect,conda-forge/prefect,,,,259.0,257.0,https://pypi.org/project/prefect,2021-02-12 00:27:42.000000,2.0,24238.0,27329.0,https://anaconda.org/conda-forge/prefect,2021-02-16 22:20:53.698000,71115.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n94,Hyperopt,hyperopt/hyperopt,,hyperopt,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59.000000,2021-02-09 09:39:50.000000,2021-02-09 09:39:50.000000,867,330.0,221.0,5430,1169.0,Distributed Asynchronous Hyperparameter Optimization in Python.,85.0,30,True,2020-10-07 09:52:56.000000,0.2.5,11.0,hyperopt,conda-forge/hyperopt,,,,3184.0,2680.0,https://pypi.org/project/hyperopt,2020-10-07 09:52:56.000000,504.0,291727.0,297599.0,https://anaconda.org/conda-forge/hyperopt,2020-10-14 07:57:14.292000,170293.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n95,SpeechRecognition,Uberi/speech_recognition,,audio,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54.000000,2021-01-11 17:26:33.040000,2019-07-02 17:29:47.000000,1869,207.0,270.0,5429,360.0,\"Speech recognition module for Python, supporting several engines and APIs, online and offline.\",41.0,30,False,2017-12-05 14:05:14.000000,3.8.1,52.0,SpeechRecognition,conda-forge/speechrecognition,,,,8021.0,6933.0,https://pypi.org/project/SpeechRecognition,2017-12-05 13:58:29.000000,1088.0,65266.0,67084.0,https://anaconda.org/conda-forge/speechrecognition,2021-01-11 17:26:33.040000,98216.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n96,UMAP,lmcinnes/umap,,data-viz,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17.000000,2021-02-18 05:34:37.000000,2021-02-17 20:57:58.000000,494,224.0,228.0,4506,1345.0,Uniform Manifold Approximation and Projection.,71.0,30,True,2021-02-08 21:04:43.000000,0.5.1,35.0,umap-learn,,,,,2601.0,2375.0,https://pypi.org/project/umap-learn,2021-02-08 21:04:43.000000,226.0,97509.0,97509.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n97,Tesseract,madmaze/pytesseract,,ocr,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000000,2021-02-08 17:13:50.000000,2021-02-08 17:13:45.000000,506,7.0,240.0,3423,360.0,Python-tesseract is an optical character recognition (OCR) tool for python.,36.0,30,True,2020-12-15 05:24:52.000000,0.3.7,24.0,pytesseract,conda-forge/pytesseract,,,,1428.0,,https://pypi.org/project/pytesseract,2020-12-15 05:24:52.000000,1428.0,1045787.0,1047978.0,https://anaconda.org/conda-forge/pytesseract,2020-11-20 10:05:14.874000,41631.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n98,MLxtend,rasbt/mlxtend,,sklearn-utils,https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16.000000,2021-02-16 01:40:15.000000,2021-02-16 01:40:15.000000,694,101.0,274.0,3342,1162.0,A library of extension and helper modules for Python's data analysis and machine learning libraries.,79.0,30,True,2020-11-26 04:18:15.000000,0.18.0,46.0,mlxtend,conda-forge/mlxtend,,,['sklearn'],2734.0,2544.0,https://pypi.org/project/mlxtend,2020-11-26 04:18:15.000000,190.0,104924.0,108481.0,https://anaconda.org/conda-forge/mlxtend,2020-11-26 05:32:00.667000,152975.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n99,bqplot,bqplot/bqplot,,data-viz,https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18.000000,2021-02-18 11:06:45.000000,2021-02-18 09:21:17.000000,406,190.0,323.0,3008,3231.0,Plotting library for IPython/Jupyter notebooks.,51.0,30,True,2021-02-13 08:27:07.000000,0.12.22,90.0,bqplot,conda-forge/bqplot,,,['jupyter'],1362.0,1240.0,https://pypi.org/project/bqplot,2021-02-13 08:27:07.000000,112.0,13652.0,177895.0,https://anaconda.org/conda-forge/bqplot,2021-02-13 19:17:06.334000,492325.0,,,,,2.0,,,,bqplot,https://www.npmjs.com/package/bqplot,2021-01-14 14:17:47.627000,10.0,155606.0,,,,,,,,,,,,,,,\n100,wandb client,wandb/client,,ml-experiments,https://github.com/wandb/client,https://github.com/wandb/client,MIT,2017-03-24 05:46:23.000000,2021-02-18 09:36:01.000000,2021-02-17 19:53:18.000000,193,240.0,678.0,2719,3816.0,A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.,74.0,30,True,2021-02-15 03:53:50.000000,0.10.19,189.0,wandb,,,,,2130.0,2052.0,https://pypi.org/project/wandb,2021-02-15 03:27:23.000000,78.0,207086.0,207086.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n101,torchtext,pytorch/text,,nlp,https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000000,2021-02-18 12:36:01.000000,2021-02-18 03:06:16.000000,598,263.0,314.0,2649,732.0,Data loaders and abstractions for text and NLP.,107.0,30,True,2020-12-10 17:03:55.000000,0.8.1,12.0,torchtext,,,,['pytorch'],4475.0,3793.0,https://pypi.org/project/torchtext,2020-12-10 16:28:00.000000,682.0,80248.0,80248.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n102,mrjob,Yelp/mrjob,,data-pipelines,https://github.com/Yelp/mrjob,https://github.com/Yelp/mrjob,Apache-2.0,2010-10-13 18:35:21.000000,2020-12-24 22:44:29.424000,2020-11-16 22:20:52.000000,590,200.0,1089.0,2528,8622.0,Run MapReduce jobs on Hadoop or Amazon Web Services.,142.0,30,True,2020-09-17 22:26:01.000000,0.7.4,60.0,mrjob,conda-forge/mrjob,,,,788.0,676.0,https://pypi.org/project/mrjob,2020-09-17 22:26:01.000000,112.0,54176.0,60218.0,https://anaconda.org/conda-forge/mrjob,2020-12-24 22:44:29.424000,320240.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n103,scikit-optimize,scikit-optimize/scikit-optimize,,hyperopt,https://github.com/scikit-optimize/scikit-optimize,https://github.com/scikit-optimize/scikit-optimize,BSD-3-Clause,2016-03-20 21:10:54.000000,2021-02-12 19:09:09.000000,2020-12-31 12:07:52.000000,387,195.0,359.0,2035,1541.0,Sequential model-based optimization with a `scipy.optimize` interface.,68.0,30,True,2020-09-04 09:08:10.000000,0.8.1,22.0,scikit-optimize,conda-forge/scikit-optimize,,,,1538.0,1378.0,https://pypi.org/project/scikit-optimize,2020-09-04 09:08:10.000000,160.0,301166.0,306071.0,https://anaconda.org/conda-forge/scikit-optimize,2020-09-04 09:50:52.372000,210951.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n104,smart-open,RaRe-Technologies/smart_open,,data-loading,https://github.com/RaRe-Technologies/smart_open,https://github.com/RaRe-Technologies/smart_open,MIT,2015-01-02 13:05:52.000000,2021-02-17 01:43:41.000000,2021-02-16 07:17:55.000000,270,52.0,242.0,1935,898.0,\"Utils for streaming large files (S3, HDFS, gzip, bz2...).\",73.0,30,True,2021-02-15 06:45:29.000000,4.2.0,46.0,smart-open,,,,,640.0,,https://pypi.org/project/smart-open,2021-01-18 06:44:54.000000,640.0,5002729.0,5002729.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n105,opencv-python,skvark/opencv-python,,image,https://github.com/opencv/opencv-python,https://github.com/opencv/opencv-python,MIT,2016-04-08 13:36:40.000000,2021-01-03 16:32:34.000000,2020-12-28 18:40:12.000000,317,14.0,379.0,1743,749.0,\"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..\",27.0,30,True,2021-01-03 17:36:16.000000,47,47.0,opencv-python,,,,,12560.0,,https://pypi.org/project/opencv-python,2021-01-02 12:15:05.000000,12560.0,1431531.0,1431531.0,,,,,,,,2.0,,,,,,,,,,,,,opencv/opencv-python,,,,,,,,,,\n106,Rasterio,mapbox/rasterio,,geospatial-data,https://github.com/mapbox/rasterio,https://github.com/mapbox/rasterio,BSD-3-Clause,2013-11-04 16:36:27.000000,2021-02-15 15:57:22.000000,2021-02-12 16:31:13.000000,390,137.0,1208.0,1433,3269.0,Rasterio reads and writes geospatial raster datasets.,107.0,30,True,2021-01-25 14:37:50.000000,1.2.0,121.0,rasterio,conda-forge/rasterio,,,,3589.0,2739.0,https://pypi.org/project/rasterio,2021-01-25 14:37:50.000000,850.0,136692.0,151693.0,https://anaconda.org/conda-forge/rasterio,2021-01-25 20:18:49.736000,884493.0,,,,,2.0,702.0,,,,,,,,,,,,,,,,,,,,,,\n107,Geocoder,DenisCarriere/geocoder,,geospatial-data,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21.000000,2020-12-30 04:09:42.000000,2018-10-12 15:53:05.000000,253,64.0,216.0,1325,1251.0,Python Geocoder.,74.0,30,False,2018-04-04 12:34:51.000000,1.38.1,108.0,geocoder,conda-forge/geocoder,,,,3920.0,3076.0,https://pypi.org/project/geocoder,2018-04-04 12:34:51.000000,844.0,194421.0,196241.0,https://anaconda.org/conda-forge/geocoder,2019-06-27 16:40:50.469000,87396.0,,,,,2.0,,,,,,,,,,,,,,geocoder,,,,,,,,,\n108,SageMaker SDK,aws/sagemaker-python-sdk,,ml-experiments,https://github.com/aws/sagemaker-python-sdk,https://github.com/aws/sagemaker-python-sdk,Apache-2.0,2017-11-14 01:03:33.000000,2021-02-18 07:34:29.000000,2021-02-18 06:16:56.000000,565,226.0,520.0,1313,1856.0,A library for training and deploying machine learning models on Amazon SageMaker.,167.0,30,True,2021-02-12 18:54:01.000000,2.24.5,309.0,sagemaker,,,,\"['mxnet', 'tensorflow']\",618.0,590.0,https://pypi.org/project/sagemaker,2021-02-12 18:55:57.000000,28.0,267112.0,267112.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n109,Wand,emcconville/wand,,image,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000000,2021-02-14 16:32:46.000000,2021-02-14 16:32:38.000000,183,13.0,321.0,1062,1691.0,The ctypes-based simple ImageMagick binding for Python.,95.0,30,True,2020-11-29 20:47:13.000000,0.6.5,47.0,wand,,,,,4481.0,3311.0,https://pypi.org/project/wand,2020-11-29 20:40:49.000000,1170.0,102722.0,102914.0,,,,,,,,2.0,5209.0,,,,,,,,,,,,,,,,,,,,,,\n110,Fiona,Toblerity/Fiona,,geospatial-data,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00.000000,2021-02-17 20:07:02.000000,2020-11-30 07:11:40.000000,165,69.0,547.0,779,1093.0,Fiona reads and writes geographic data files.,65.0,30,True,2020-11-17 18:32:17.000000,1.8.18,96.0,fiona,conda-forge/fiona,,,,6241.0,5053.0,https://pypi.org/project/fiona,2020-11-17 18:32:17.000000,1188.0,416600.0,445660.0,https://anaconda.org/conda-forge/fiona,2020-11-17 20:48:12.542000,1714543.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n111,snowballstemmer,snowballstem/snowball,,nlp,https://github.com/snowballstem/snowball,https://github.com/snowballstem/snowball,BSD-3-Clause,2013-02-23 07:17:42.000000,2021-02-03 06:20:01.000000,2021-02-02 19:23:41.000000,133,17.0,42.0,471,846.0,Snowball compiler and stemming algorithms.,25.0,30,True,2021-01-21 11:43:00.000000,2.1.0,9.0,snowballstemmer,conda-forge/snowballstemmer,,,,57406.0,44224.0,https://pypi.org/project/snowballstemmer,2021-01-21 11:43:00.000000,13182.0,1987179.0,2026194.0,https://anaconda.org/conda-forge/snowballstemmer,2021-01-21 23:16:54.597000,2106826.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n112,Face Recognition,ageitgey/face_recognition,,image,https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39.000000,2021-02-14 15:50:55.000000,2020-09-26 15:32:59.000000,10665,570.0,529.0,38585,211.0,The world's simplest facial recognition api for Python and the command line.,45.0,29,True,2018-08-21 18:34:21.000000,1.2.3,21.0,face_recognition,,,,['pytorch'],406.0,,https://pypi.org/project/face_recognition,2018-08-21 18:34:21.000000,406.0,16482.0,16491.0,,,,,,,,2.0,438.0,,,,,,,,,,,,,,,,,,,,,,\n113,Magenta,magenta/magenta,,audio,https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40.000000,2021-02-18 00:30:34.000000,2021-02-10 06:39:15.000000,3331,297.0,540.0,16290,1380.0,Magenta: Music and Art Generation with Machine Intelligence.,147.0,29,True,2020-11-12 19:17:18.000000,2.1.3,66.0,magenta,,,,['tensorflow'],342.0,272.0,https://pypi.org/project/magenta,2020-11-12 19:17:18.000000,70.0,2788.0,2788.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n114,Prophet,facebook/prophet,,time-series-data,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000000,2021-02-01 18:01:17.000000,2021-01-27 01:56:06.000000,3505,100.0,1436.0,12257,615.0,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,126.0,29,True,2020-09-05 16:12:50.000000,0.7.1,14.0,fbprophet,,,,,150.0,,https://pypi.org/project/fbprophet,2020-09-05 16:12:50.000000,150.0,406351.0,406362.0,,,,,,,,1.0,546.0,,,,,,,,,,,,,,,,,,,,,,\n115,horovod,horovod/horovod,,distributed-ml,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000000,2021-02-18 13:56:42.000000,2021-02-17 20:47:45.000000,1751,258.0,1433.0,10836,875.0,\"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.\",113.0,29,True,2021-02-09 01:22:11.000000,0.21.2,64.0,horovod,,,,,365.0,325.0,https://pypi.org/project/horovod,2021-02-15 20:51:41.000000,40.0,52459.0,52459.0,,,,,,,,2.0,,-1.0,stable/horovod,,,,,,,,,,,,,,,,,,,,\n116,Turi Create,apple/turicreate,,ml-frameworks,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04.000000,2021-02-02 21:52:08.000000,2021-02-02 21:52:07.000000,1091,476.0,1253.0,10143,1566.0,Turi Create simplifies the development of custom machine learning models.,81.0,29,True,2020-09-30 22:51:40.000000,6.4.1,31.0,turicreate,,,,,258.0,224.0,https://pypi.org/project/turicreate,2020-09-30 22:51:40.000000,34.0,10223.0,10318.0,,,,,,,,2.0,3623.0,,,,,,,,,,,,,,,,,,,,,,\n117,Lime,marcotcr/lime,,interpretability,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10.000000,2021-02-04 08:58:12.000000,2021-01-12 16:12:17.000000,1372,54.0,441.0,8452,508.0,Lime: Explaining the predictions of any machine learning classifier.,57.0,29,True,2020-04-03 22:05:03.000000,0.2.0.0,38.0,lime,conda-forge/lime,,,,1198.0,1070.0,https://pypi.org/project/lime,2020-06-26 21:38:15.000000,128.0,95835.0,97121.0,https://anaconda.org/conda-forge/lime,2020-06-28 01:02:41.538000,64346.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n118,fuzzywuzzy,seatgeek/fuzzywuzzy,,nlp,https://github.com/seatgeek/fuzzywuzzy,https://github.com/seatgeek/fuzzywuzzy,GPL-2.0,2011-07-08 19:32:34.000000,2020-12-19 18:34:54.000000,2020-02-13 22:13:43.000000,794,84.0,96.0,7856,379.0,Fuzzy String Matching in Python.,67.0,29,False,2020-02-13 22:14:12.000000,0.18.0,27.0,fuzzywuzzy,conda-forge/fuzzywuzzy,,,,11131.0,7925.0,https://pypi.org/project/fuzzywuzzy,2020-02-13 21:06:25.000000,3206.0,2699235.0,2704347.0,https://anaconda.org/conda-forge/fuzzywuzzy,2020-11-18 12:59:01.409000,281162.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n119,TPOT,EpistasisLab/tpot,,hyperopt,https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40.000000,2021-01-12 15:06:12.000000,2021-01-06 15:17:46.000000,1374,196.0,586.0,7823,2368.0,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,108.0,29,False,2021-01-06 15:20:08.000000,0.11.7,60.0,tpot,conda-forge/tpot,,,['sklearn'],901.0,821.0,https://pypi.org/project/tpot,2021-01-06 15:20:08.000000,80.0,13267.0,15268.0,https://anaconda.org/conda-forge/tpot,2020-12-14 22:49:13.925000,106058.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n120,TextBlob,sloria/TextBlob,,nlp,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18.000000,2021-02-18 02:25:12.000000,2021-02-18 02:24:57.000000,948,73.0,150.0,7543,535.0,\"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..\",34.0,29,True,2019-02-24 23:03:17.000000,0.15.3,55.0,textblob,conda-forge/textblob,,,,12853.0,10361.0,https://pypi.org/project/textblob,2019-02-24 23:03:17.000000,2492.0,208274.0,210343.0,https://anaconda.org/conda-forge/textblob,2019-02-24 23:32:55.233000,111737.0,,,,,2.0,88.0,,,,,,,,,,,,,,,,,,,,,,\n121,MoviePy,Zulko/moviepy,,image,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000000,2021-01-27 09:20:28.000000,2021-01-27 09:20:26.000000,1021,337.0,704.0,7293,1011.0,Video editing with Python.,137.0,29,True,2020-05-07 16:29:35.000000,1.0.3,84.0,moviepy,conda-forge/moviepy,,,,7225.0,6095.0,https://pypi.org/project/moviepy,2020-10-05 00:26:29.000000,1130.0,100869.0,102597.0,https://anaconda.org/conda-forge/moviepy,2020-02-23 19:57:49.975000,74315.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n122,glfw,glfw/glfw,,image,https://github.com/glfw/glfw,https://github.com/glfw/glfw,Zlib,2013-04-18 15:24:53.000000,2021-02-17 22:43:42.000000,2021-02-17 20:22:50.000000,2667,421.0,997.0,7277,4219.0,\"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.\",168.0,29,False,2020-10-04 13:37:52.000000,2.0.0,37.0,glfw,conda-forge/glfw,,,,214.0,,https://pypi.org/project/glfw,2020-10-04 13:37:52.000000,214.0,15308.0,47429.0,https://anaconda.org/conda-forge/glfw,2020-03-20 11:09:31.058000,24136.0,,,,,2.0,2209274.0,,,,,,,,,,,,,,,,,,,,,,\n123,Datasets,huggingface/datasets,,data-loading,https://github.com/huggingface/datasets,https://github.com/huggingface/datasets,Apache-2.0,2020-03-26 09:23:22.000000,2021-02-18 15:02:46.000000,2021-02-18 14:47:28.000000,725,220.0,343.0,6800,1351.0,\"The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools.\",227.0,29,True,2021-02-15 16:54:50.000000,1.3.0,14.0,datasets,,,,,373.0,355.0,https://pypi.org/project/datasets,2021-02-15 16:09:43.000000,18.0,20798.0,20798.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n124,pandas-profiling,pandas-profiling/pandas-profiling,,data-viz,https://github.com/pandas-profiling/pandas-profiling,https://github.com/pandas-profiling/pandas-profiling,MIT,2016-01-09 23:47:55.000000,2021-02-18 06:00:37.000000,2021-02-17 23:10:11.000000,1011,61.0,368.0,6791,745.0,Create HTML profiling reports from pandas DataFrame objects.,67.0,29,True,2021-02-07 23:42:44.000000,2.10.1,26.0,pandas-profiling,conda-forge/pandas-profiling,,,\"['jupyter', 'pandas']\",3273.0,3113.0,https://pypi.org/project/pandas-profiling,2021-01-05 18:47:51.000000,160.0,128763.0,130685.0,https://anaconda.org/conda-forge/pandas-profiling,2021-02-08 00:49:56.979000,103837.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n125,Autograd,HIPS/autograd,,others,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23.000000,2020-12-28 18:04:28.000000,2019-11-18 14:32:40.000000,712,161.0,217.0,5138,1375.0,Efficiently computes derivatives of numpy code.,51.0,29,False,2017-08-24 17:00:41.000000,1.1.13,24.0,autograd,conda-forge/autograd,,,,1871.0,1527.0,https://pypi.org/project/autograd,2019-07-25 16:21:07.000000,344.0,409414.0,412310.0,https://anaconda.org/conda-forge/autograd,2019-07-25 18:29:55.493000,156389.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n126,Pydub,jiaaro/pydub,,audio,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38.000000,2021-01-30 07:53:48.000000,2021-01-18 04:33:23.000000,692,177.0,236.0,5117,726.0,Manipulate audio with a simple and easy high level interface.,80.0,29,True,2020-06-03 15:23:56.000000,0.24.1,66.0,pydub,conda-forge/pydub,,,,7404.0,6050.0,https://pypi.org/project/pydub,2020-06-03 15:23:56.000000,1354.0,129605.0,130097.0,https://anaconda.org/conda-forge/pydub,2019-02-02 16:23:09.348000,12809.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n127,yfinance,ranaroussi/yfinance,,financial-data,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000000,2021-02-10 01:51:26.000000,2021-01-18 14:16:47.000000,1075,337.0,179.0,4309,247.0,Yahoo! Finance market data downloader (+faster Pandas Datareader).,28.0,29,True,2020-10-05 12:19:44.000000,0.1.55,20.0,yfinance,ranaroussi/yfinance,,,,3126.0,3100.0,https://pypi.org/project/yfinance,2020-10-05 12:19:44.000000,26.0,81094.0,83072.0,https://anaconda.org/ranaroussi/yfinance,2019-12-27 21:30:44.606000,35614.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n128,TinyDB,msiemens/tinydb,,data-containers,https://github.com/msiemens/tinydb,https://github.com/msiemens/tinydb,MIT,2013-07-12 23:31:13.000000,2021-02-15 07:37:50.000000,2021-02-15 07:37:45.000000,366,8.0,242.0,4047,608.0,TinyDB is a lightweight document oriented database optimized for your happiness :).,62.0,29,True,2021-02-11 19:31:26.000000,4.4.0,59.0,tinydb,conda-forge/tinydb,,,,1118.0,,https://pypi.org/project/tinydb,2021-02-11 19:31:24.000000,1118.0,115908.0,117756.0,https://anaconda.org/conda-forge/tinydb,2021-02-11 21:20:33.462000,103506.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n129,kaggle,Kaggle/kaggle-api,,ml-experiments,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000000,2021-02-04 16:58:12.000000,2020-11-30 21:43:14.000000,776,165.0,111.0,3853,137.0,Official Kaggle API.,35.0,29,True,2020-11-30 13:37:18.000000,1.5.10,47.0,kaggle,conda-forge/kaggle,,,,5123.0,4559.0,https://pypi.org/project/kaggle,2020-11-30 13:37:18.000000,564.0,59800.0,61858.0,https://anaconda.org/conda-forge/kaggle,2021-01-21 01:19:19.873000,43218.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n130,sacred,IDSIA/sacred,,ml-experiments,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29.000000,2021-02-18 12:24:22.000000,2021-02-18 12:19:44.000000,314,92.0,399.0,3312,1301.0,\"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.\",91.0,29,True,2020-12-14 15:21:05.000000,0.8.2,27.0,sacred,,,,,972.0,818.0,https://pypi.org/project/sacred,2020-12-14 15:21:05.000000,154.0,9575.0,9575.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n131,Koalas,databricks/koalas,,data-containers,https://github.com/databricks/koalas,https://github.com/databricks/koalas,Apache-2.0,2019-01-03 21:46:54.000000,2021-02-18 12:03:50.000000,2021-02-17 19:30:17.000000,298,92.0,429.0,2652,1468.0,Koalas: pandas API on Apache Spark.,47.0,29,True,2021-01-22 09:42:01.000000,1.6.0,43.0,koalas,conda-forge/koalas,,,\"['spark', 'pandas']\",78.0,76.0,https://pypi.org/project/koalas,2021-01-22 09:42:01.000000,2.0,491582.0,495301.0,https://anaconda.org/conda-forge/koalas,2021-01-22 12:57:15.187000,77208.0,,,,,2.0,996.0,,,,,,,,,,,,,,,,,,,,,,\n132,dbt,fishtown-analytics/dbt,,data-pipelines,https://github.com/fishtown-analytics/dbt,https://github.com/fishtown-analytics/dbt,Apache-2.0,2016-03-10 02:38:00.000000,2021-02-18 13:55:06.000000,2021-02-18 13:55:05.000000,500,311.0,1456.0,2548,2481.0,dbt (data build tool) enables data analysts and engineers to transform their data using the same practices that..,134.0,29,True,2021-01-27 18:24:45.000000,0.19.0,144.0,dbt,conda-forge/dbt,,,,212.0,194.0,https://pypi.org/project/dbt,2021-02-12 16:11:05.000000,18.0,99002.0,101978.0,https://anaconda.org/conda-forge/dbt,2020-05-14 13:55:32.153000,151802.0,,,,,2.0,,,,,,,,,,dbt,,,,,,,,,,,,,\n133,PyQtGraph,pyqtgraph/pyqtgraph,,data-viz,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21.000000,2021-02-17 17:59:00.000000,2021-02-17 06:48:22.000000,811,264.0,483.0,2309,2520.0,Fast data visualization and GUI tools for scientific / engineering applications.,186.0,29,True,2020-12-20 02:41:29.000000,pyqtgraph-0.11.1,12.0,pyqtgraph,conda-forge/pyqtgraph,,,,890.0,,https://pypi.org/project/pyqtgraph,2020-12-20 02:43:22.000000,890.0,23667.0,27000.0,https://anaconda.org/conda-forge/pyqtgraph,2020-12-20 05:06:42.442000,163324.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n134,hmmlearn,hmmlearn/hmmlearn,,probabilistics,https://github.com/hmmlearn/hmmlearn,https://github.com/hmmlearn/hmmlearn,BSD-3-Clause,2014-03-23 10:33:09.000000,2021-02-05 09:47:49.000000,2021-02-05 09:47:44.000000,631,67.0,278.0,2185,355.0,\"Hidden Markov Models in Python, with scikit-learn like API.\",32.0,29,True,2021-02-03 14:33:20.000000,0.2.5,7.0,hmmlearn,conda-forge/hmmlearn,,,['sklearn'],1088.0,882.0,https://pypi.org/project/hmmlearn,2021-02-03 14:32:44.000000,206.0,91393.0,93742.0,https://anaconda.org/conda-forge/hmmlearn,2021-02-04 16:23:17.046000,63445.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n135,pandas-datareader,pydata/pandas-datareader,,data-loading,https://github.com/pydata/pandas-datareader,https://github.com/pydata/pandas-datareader,BSD-3-Clause,2015-01-15 00:34:19.000000,2021-02-17 19:01:10.000000,2020-12-31 11:58:23.000000,513,81.0,370.0,1880,764.0,Extract data from a wide range of Internet sources into a pandas DataFrame.,77.0,29,True,2020-07-10 10:04:14.000000,0.9.0,21.0,pandas-datareader,conda-forge/pandas-datareader,,,['pandas'],9278.0,7872.0,https://pypi.org/project/pandas-datareader,2020-07-10 10:04:14.000000,1406.0,80616.0,82674.0,https://anaconda.org/conda-forge/pandas-datareader,2019-11-20 10:38:42.074000,94688.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n136,HoloViews,holoviz/holoviews,,data-viz,https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000000,2021-02-18 14:29:59.000000,2021-02-18 14:29:59.000000,305,697.0,1828.0,1812,10140.0,\"With Holoviews, your data visualizes itself.\",101.0,29,True,2021-01-27 18:07:05.000000,1.14.1,64.0,holoviews,conda-forge/holoviews,,,['jupyter'],170.0,,https://pypi.org/project/holoviews,2021-02-17 16:42:37.000000,170.0,53125.0,67954.0,https://anaconda.org/conda-forge/holoviews,2020-12-28 13:23:01.410000,424325.0,,,,,2.0,,,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,2020-05-24 13:49:54.205000,,7385.0,,,,,,,,,,,,,,,\n137,hdbscan,scikit-learn-contrib/hdbscan,,others,https://github.com/scikit-learn-contrib/hdbscan,https://github.com/scikit-learn-contrib/hdbscan,BSD-3-Clause,2015-04-22 13:32:37.000000,2021-02-14 03:07:15.749000,2021-02-11 20:27:38.000000,339,225.0,145.0,1811,874.0,A high performance implementation of HDBSCAN clustering.,67.0,29,True,2021-02-03 20:21:02.000000,0.8.27,43.0,hdbscan,conda-forge/hdbscan,,,['sklearn'],858.0,734.0,https://pypi.org/project/hdbscan,2021-02-03 20:21:02.000000,124.0,68025.0,77947.0,https://anaconda.org/conda-forge/hdbscan,2021-02-14 03:07:15.749000,545718.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n138,Lifelines,CamDavidsonPilon/lifelines,,medical-data,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42.000000,2021-02-11 14:14:49.000000,2021-02-11 14:14:49.000000,414,189.0,594.0,1564,2089.0,Survival analysis in Python.,92.0,29,True,2021-02-05 04:36:18.000000,0.25.9,154.0,lifelines,conda-forge/lifelines,,,,630.0,504.0,https://pypi.org/project/lifelines,2021-02-05 04:36:18.000000,126.0,85817.0,88081.0,https://anaconda.org/conda-forge/lifelines,2021-02-08 01:10:52.003000,126836.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n139,Graphviz,xflr6/graphviz,,data-viz,https://github.com/xflr6/graphviz,https://github.com/xflr6/graphviz,MIT,2014-01-12 17:49:29.000000,2021-02-15 10:32:28.000000,2021-02-15 10:23:23.000000,142,9.0,96.0,919,451.0,Simple Python interface for Graphviz.,15.0,29,True,2020-10-07 09:06:41.000000,0.14.2,47.0,graphviz,,,,,22054.0,17672.0,https://pypi.org/project/graphviz,2020-12-24 16:17:24.000000,4382.0,1735249.0,1735249.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n140,snakemake,snakemake/snakemake,,ml-experiments,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867000,2021-02-18 04:44:02.000000,2021-02-16 19:12:07.000000,190,335.0,210.0,857,3966.0,\"This is the development home of the workflow management system Snakemake. For general information, see.\",196.0,29,True,2021-02-11 15:36:15.000000,5.32.2,161.0,snakemake,bioconda/snakemake,,,,1031.0,743.0,https://pypi.org/project/snakemake,2021-02-11 15:37:02.000000,288.0,6421.0,10732.0,https://anaconda.org/bioconda/snakemake,2021-02-15 16:22:25.980000,275925.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n141,TensorFlow Transform,tensorflow/transform,,tensorflow-utils,https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53.000000,2021-02-16 18:30:37.000000,2021-02-16 18:30:32.000000,167,33.0,117.0,854,595.0,Input pipeline framework.,27.0,29,True,2021-01-27 23:13:00.000000,0.27.0,33.0,tensorflow-transform,,,,['tensorflow'],492.0,408.0,https://pypi.org/project/tensorflow-transform,2020-12-16 21:35:23.000000,84.0,4293545.0,4293545.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n142,Nilearn,nilearn/nilearn,,medical-data,https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000000,2021-02-18 12:41:31.000000,2021-02-18 09:04:59.000000,375,378.0,1150.0,702,9302.0,Machine learning for NeuroImaging in Python.,160.0,29,True,2020-11-12 11:44:49.000000,0.7.0,35.0,nilearn,conda-forge/nilearn,,,['sklearn'],1194.0,892.0,https://pypi.org/project/nilearn,2020-11-12 11:44:49.000000,302.0,6385.0,7808.0,https://anaconda.org/conda-forge/nilearn,2020-11-12 13:26:03.600000,81114.0,,,,,1.0,,-1.0,,,,,,,,,,,,,,,,,,,,,\n143,Bottleneck,pydata/bottleneck,,data-containers,https://github.com/pydata/bottleneck,https://github.com/pydata/bottleneck,BSD-2-Clause,2010-11-27 23:21:22.000000,2021-01-24 18:54:13.000000,2021-01-24 18:39:03.000000,65,26.0,177.0,577,1241.0,Fast NumPy array functions written in C.,21.0,29,True,2020-02-21 06:22:16.000000,1.3.2,21.0,Bottleneck,conda-forge/bottleneck,,,,21940.0,19048.0,https://pypi.org/project/Bottleneck,2020-02-21 06:22:16.000000,2892.0,131941.0,156778.0,https://anaconda.org/conda-forge/bottleneck,2021-01-21 02:48:32.623000,1415749.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n144,pyproj,pyproj4/pyproj,,geospatial-data,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000000,2021-02-16 02:47:59.000000,2021-02-16 02:46:14.000000,148,5.0,380.0,573,1103.0,Python interface to PROJ (cartographic projections and coordinate transformations library).,39.0,29,True,2020-11-05 13:39:29.000000,3.0.0.post1,34.0,pyproj,conda-forge/pyproj,,,,11043.0,8581.0,https://pypi.org/project/pyproj,2020-11-05 14:28:45.000000,2462.0,883524.0,914907.0,https://anaconda.org/conda-forge/pyproj,2020-11-06 22:55:31.654000,1945797.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n145,NIPYPE,nipy/nipype,,medical-data,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000000,2021-02-04 13:35:26.000000,2020-12-08 17:16:40.000000,439,312.0,874.0,551,14049.0,Workflows and interfaces for neuroimaging packages.,212.0,29,True,2020-11-28 17:23:30.000000,1.6.0,54.0,nipype,conda-forge/nipype,,,,708.0,516.0,https://pypi.org/project/nipype,2020-11-28 17:23:30.000000,192.0,7362.0,13880.0,https://anaconda.org/conda-forge/nipype,2020-11-28 17:44:51.813000,358492.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n146,NiBabel,nipy/nibabel,,medical-data,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30.000000,2021-02-04 17:16:59.000000,2021-02-01 16:18:24.000000,214,112.0,286.0,389,4947.0,Python package to access a cacophony of neuro-imaging file formats.,89.0,29,True,2020-11-28 22:19:50.000000,3.2.1,32.0,nibabel,conda-forge/nibabel,,,,4953.0,3689.0,https://pypi.org/project/nibabel,2020-11-28 22:18:23.000000,1264.0,33776.0,39084.0,https://anaconda.org/conda-forge/nibabel,2020-11-29 03:40:05.178000,302569.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n147,Faiss,facebookresearch/faiss,,nn-search,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000000,2021-02-18 10:47:33.118000,2021-02-17 23:09:04.000000,2087,98.0,1273.0,12496,461.0,A library for efficient similarity search and clustering of dense vectors.,78.0,28,True,2021-02-13 14:11:25.000000,1.7.0,44.0,pymilvus,conda-forge/faiss,,,,315.0,309.0,https://pypi.org/project/pymilvus,2021-01-21 05:32:04.000000,6.0,4348.0,7664.0,https://anaconda.org/conda-forge/faiss,2021-02-18 10:47:33.118000,29849.0,,,,,1.0,,-1.0,,,,,,,,,,,,,,,,,,,,,\n148,baselines,openai/baselines,,reinforcement-learning,https://github.com/openai/baselines,https://github.com/openai/baselines,MIT,2017-05-24 01:58:13.000000,2021-02-01 01:42:19.000000,2020-01-31 13:06:18.000000,3865,453.0,424.0,11157,347.0,OpenAI Baselines: high-quality implementations of reinforcement learning algorithms.,114.0,28,False,2018-02-26 17:07:07.000000,0.1.5,6.0,baselines,,,,,323.0,286.0,https://pypi.org/project/baselines,2018-02-26 17:07:07.000000,37.0,24161.0,24161.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n149,PyTorch Geometric,rusty1s/pytorch_geometric,,graph,https://github.com/rusty1s/pytorch_geometric,https://github.com/rusty1s/pytorch_geometric,MIT,2017-10-06 16:03:03.000000,2021-02-18 11:44:00.000000,2021-02-18 11:43:55.000000,1748,713.0,1123.0,10218,4142.0,Geometric Deep Learning Extension Library for PyTorch.,145.0,28,True,2020-12-02 14:57:09.000000,1.6.3,25.0,torch-geometric,,,,['pytorch'],24.0,,https://pypi.org/project/torch-geometric,2020-11-27 07:18:41.000000,24.0,10561.0,10561.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n150,Sonnet,deepmind/sonnet,,ml-frameworks,https://github.com/deepmind/sonnet,https://github.com/deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35.000000,2021-02-10 05:16:05.000000,2021-02-10 05:15:36.000000,1260,19.0,137.0,8760,545.0,TensorFlow-based neural network library.,49.0,28,True,2020-03-27 10:36:19.000000,2.0.0,27.0,dm-sonnet,conda-forge/sonnet,,,['tensorflow'],593.0,511.0,https://pypi.org/project/dm-sonnet,2020-03-27 10:36:10.000000,82.0,12035.0,12535.0,https://anaconda.org/conda-forge/sonnet,2020-11-14 18:13:23.843000,7500.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n151,Albumentations,albumentations-team/albumentations,,image,https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000000,2021-02-17 08:28:37.000000,2021-02-16 08:50:48.000000,944,183.0,240.0,7299,621.0,Fast image augmentation library and easy to use wrapper around other libraries. Documentation:..,74.0,28,True,2020-11-29 14:30:07.000000,0.5.2,44.0,albumentations,conda-forge/albumentations,,,['pytorch'],2897.0,2769.0,https://pypi.org/project/albumentations,2020-11-29 14:30:07.000000,128.0,44957.0,45709.0,https://anaconda.org/conda-forge/albumentations,2020-11-29 15:51:47.610000,15041.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n152,Pyro,pyro-ppl/pyro,,probabilistics,https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000000,2021-02-12 01:15:43.000000,2021-02-11 13:16:07.000000,823,142.0,682.0,6730,2139.0,Deep universal probabilistic programming with Python and PyTorch.,104.0,28,True,2021-02-01 23:22:45.000000,1.5.2,24.0,pyro-ppl,,,,['pytorch'],427.0,391.0,https://pypi.org/project/pyro-ppl,2020-11-17 23:22:46.000000,36.0,14451.0,14451.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n153,tensorpack,tensorpack/tensorpack,,ml-frameworks,https://github.com/tensorpack/tensorpack,https://github.com/tensorpack/tensorpack,Apache-2.0,2015-12-25 23:08:44.000000,2021-02-17 23:53:44.000000,2021-02-17 23:48:51.000000,1760,14.0,1307.0,5924,2929.0,\"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.\",55.0,28,True,2020-04-24 19:01:06.000000,0.10.1,37.0,tensorpack,,,,['tensorflow'],763.0,687.0,https://pypi.org/project/tensorpack,2021-01-22 08:44:03.000000,76.0,9518.0,9520.0,,,,,,,,3.0,115.0,,,,,,,,,,,,,,,,,,,,,,\n154,Modin,modin-project/modin,,data-containers,https://github.com/modin-project/modin,https://github.com/modin-project/modin,Apache-2.0,2018-06-21 21:35:05.000000,2021-02-18 15:00:02.000000,2021-02-18 15:00:02.000000,386,421.0,1118.0,5725,1277.0,Modin: Speed up your Pandas workflows by changing a single line of code.,68.0,28,True,2021-01-12 14:40:18.000000,0.8.3,36.0,modin,,,,['pandas'],316.0,298.0,https://pypi.org/project/modin,2021-01-12 14:40:18.000000,18.0,40115.0,46413.0,,,,,,,,2.0,195252.0,,,,,,,,,,,,,,,,,,,,,,\n155,faust,robinhood/faust,,data-pipelines,https://github.com/robinhood/faust,https://github.com/robinhood/faust,BSD-3-Clause,2017-03-08 18:36:11.000000,2021-01-21 01:53:26.000000,2020-10-09 12:59:42.000000,435,233.0,221.0,5309,4137.0,Python Stream Processing.,91.0,28,True,2020-02-25 22:57:18.000000,1.10.4,46.0,faust,,,,,667.0,639.0,https://pypi.org/project/faust,2020-02-25 22:57:18.000000,28.0,118606.0,118606.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n156,stanza,stanfordnlp/stanza,,nlp,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56.000000,2021-02-17 20:56:24.000000,2021-02-10 16:16:29.000000,647,60.0,408.0,5189,1847.0,Official Stanford NLP Python Library for Many Human Languages.,32.0,28,True,2021-01-29 20:05:25.000000,1.2.0,10.0,stanza,stanfordnlp/stanza,,,,338.0,334.0,https://pypi.org/project/stanza,2021-01-27 16:31:43.000000,4.0,11982.0,12270.0,https://anaconda.org/stanfordnlp/stanza,2021-01-27 22:24:06.992000,3177.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n157,OpenNMT,OpenNMT/OpenNMT-py,,nlp,https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000000,2021-02-17 15:28:46.000000,2021-01-28 11:40:16.000000,1768,90.0,1129.0,4813,2545.0,Open Source Neural Machine Translation in PyTorch.,165.0,28,True,2021-01-27 09:22:31.000000,2.0.1,28.0,OpenNMT-py,,,,['pytorch'],75.0,71.0,https://pypi.org/project/OpenNMT-py,2021-01-27 09:22:31.000000,4.0,1886.0,1886.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n158,csvkit,wireservice/csvkit,,data-loading,https://github.com/wireservice/csvkit,https://github.com/wireservice/csvkit,MIT,2011-04-01 03:00:30.000000,2021-01-25 19:13:27.000000,2020-10-30 01:59:29.000000,535,56.0,744.0,4479,1693.0,\"A suite of utilities for converting to and working with CSV, the king of tabular file formats.\",91.0,28,True,2020-03-03 03:00:28.000000,1.0.5,33.0,csvkit,conda-forge/csvkit,,,,1524.0,822.0,https://pypi.org/project/csvkit,2020-03-03 03:00:28.000000,702.0,19449.0,20426.0,https://anaconda.org/conda-forge/csvkit,2019-05-28 12:30:50.171000,45924.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n159,Tokenizers,huggingface/tokenizers,,nlp,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000000,2021-02-10 02:06:02.000000,2021-02-10 02:05:52.000000,311,80.0,304.0,4264,1441.0,Fast State-of-the-Art Tokenizers optimized for Research and Production.,40.0,28,True,2021-02-08 17:12:03.000000,0.10.1,60.0,tokenizers,conda-forge/tokenizers,,,,25.0,25.0,https://pypi.org/project/tokenizers,2021-02-08 17:12:03.000000,0.0,692559.0,696144.0,https://anaconda.org/conda-forge/tokenizers,2020-11-19 06:02:47.112000,25097.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n160,sentence-transformers,UKPLab/sentence-transformers,,nlp,https://github.com/UKPLab/sentence-transformers,https://github.com/UKPLab/sentence-transformers,Apache-2.0,2019-07-24 10:53:51.000000,2021-02-18 10:39:16.000000,2021-02-15 20:46:36.000000,782,324.0,375.0,4191,620.0,Sentence Embeddings with BERT & XLNet.,40.0,28,True,2021-01-04 14:04:01.000000,0.4.1,29.0,sentence-transformers,,,,['pytorch'],658.0,658.0,https://pypi.org/project/sentence-transformers,2021-01-04 15:49:09.000000,0.0,346538.0,346538.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n161,PyOD,yzhao062/pyod,,others,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04.000000,2021-02-18 14:58:35.000000,2021-02-18 14:58:35.000000,847,101.0,84.0,4165,1247.0,(JMLR'19) A Python Toolbox for Scalable Outlier Detection (Anomaly Detection).,23.0,28,True,2021-01-12 18:42:49.000000,0.8.6,64.0,pyod,,,,,499.0,493.0,https://pypi.org/project/pyod,2021-01-12 18:42:49.000000,6.0,52163.0,52163.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n162,Kornia,kornia/kornia,,image,https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000000,2021-02-18 14:25:06.000000,2021-02-18 14:25:06.000000,352,103.0,252.0,3605,1498.0,Open Source Differentiable Computer Vision Library for PyTorch.,85.0,28,True,2020-10-20 19:31:49.000000,0.4.1,12.0,kornia,,,,['pytorch'],273.0,273.0,https://pypi.org/project/kornia,2020-10-20 19:31:49.000000,0.0,12572.0,12572.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n163,imutils,jrosebr1/imutils,,image,https://github.com/jrosebr1/imutils,https://github.com/jrosebr1/imutils,MIT,2015-01-11 20:05:39.000000,2021-02-18 08:19:08.000000,2021-01-15 10:46:45.000000,871,127.0,76.0,3522,138.0,\"A series of convenience functions to make basic image processing operations such as translation, rotation, resizing,..\",20.0,28,True,2021-01-15 10:53:17.000000,0.5.4,29.0,imutils,conda-forge/imutils,,,,13439.0,12243.0,https://pypi.org/project/imutils,2021-01-15 10:53:17.000000,1196.0,81865.0,83779.0,https://anaconda.org/conda-forge/imutils,2021-01-15 14:27:25.471000,38290.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n164,Kedro,quantumblacklabs/kedro,,data-pipelines,https://github.com/quantumblacklabs/kedro,https://github.com/quantumblacklabs/kedro,Apache-2.0,2019-04-18 10:29:56.000000,2021-02-18 15:05:03.000000,2021-02-18 09:37:33.000000,404,87.0,349.0,3468,1153.0,\"A Python framework for creating reproducible, maintainable and modular data science code.\",96.0,28,True,2020-12-17 13:31:56.000000,0.17.0,24.0,kedro,,,,,411.0,395.0,https://pypi.org/project/kedro,2020-12-17 13:31:56.000000,16.0,45352.0,45352.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n165,dyNET,clab/dynet,,ml-frameworks,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21.000000,2021-02-17 22:08:25.000000,2021-01-27 15:43:03.000000,692,255.0,660.0,3180,3267.0,DyNet: The Dynamic Neural Network Toolkit.,156.0,28,True,2020-10-21 14:31:01.000000,2.1.2,24.0,dyNET,,,,,205.0,167.0,https://pypi.org/project/dyNET,2020-10-21 14:31:01.000000,38.0,3314.0,3351.0,,,,,,,,3.0,1942.0,,,,,,,,,,,,,,,,,,,,,,\n166,PyCaret,pycaret/pycaret,,ml-experiments,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000000,2021-02-17 23:00:25.000000,2021-02-17 23:00:20.000000,625,175.0,572.0,2954,1688.0,\"An open-source, low-code machine learning library in Python.\",46.0,28,True,2020-12-22 22:10:30.000000,2.2.3,68.0,pycaret,,,,,672.0,672.0,https://pypi.org/project/pycaret,2020-12-22 22:10:30.000000,0.0,17254.0,17305.0,,,,,,,,2.0,357.0,,,,,,,,,,,,,,,,,,,,,,\n167,Blaze,blaze/blaze,,data-containers,https://github.com/blaze/blaze,https://github.com/blaze/blaze,BSD-3-Clause,2012-10-26 14:25:22.000000,2020-02-01 19:33:09.000000,2019-08-15 21:14:59.000000,373,262.0,500.0,2923,7496.0,NumPy and Pandas interface to Big Data.,64.0,28,False,2016-07-19 20:40:03.000000,0.11.0,14.0,blaze,conda-forge/blaze,,,,9105.0,7483.0,https://pypi.org/project/blaze,2016-05-06 21:19:21.000000,1622.0,6228.0,10710.0,https://anaconda.org/conda-forge/blaze,2018-07-15 22:16:17.685000,188284.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n168,Dedupe,dedupeio/dedupe,,nlp,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36.000000,2021-01-15 22:45:06.000000,2021-01-15 22:44:19.000000,420,55.0,573.0,2906,2793.0,\"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.\",55.0,28,True,2020-09-06 01:50:45.000000,2.0.6,157.0,dedupe,,,,,256.0,178.0,https://pypi.org/project/dedupe,2020-09-06 01:50:45.000000,78.0,34319.0,34319.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n169,phonenumbers,daviddrysdale/python-phonenumbers,,nlp,https://github.com/daviddrysdale/python-phonenumbers,https://github.com/daviddrysdale/python-phonenumbers,Apache-2.0,2011-04-21 03:06:38.000000,2021-02-09 08:55:35.000000,2021-02-09 08:49:38.000000,329,3.0,112.0,2635,,Python port of Google's libphonenumber.,22.0,28,True,2021-01-27 19:06:03.000000,8.12.17,169.0,phonenumbers,conda-forge/phonenumbers,,,,2280.0,,https://pypi.org/project/phonenumbers,2021-02-09 08:55:35.000000,2280.0,550281.0,557062.0,https://anaconda.org/conda-forge/phonenumbers,2019-08-04 21:19:59.322000,379789.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n170,VisPy,vispy/vispy,,data-viz,https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22.000000,2021-02-15 21:50:20.000000,2021-02-07 20:17:07.000000,537,354.0,789.0,2577,6427.0,High-performance interactive 2D/3D data visualization library.,146.0,28,True,2020-12-14 15:55:00.000000,0.6.6,16.0,vispy,conda-forge/vispy,,,['jupyter'],575.0,453.0,https://pypi.org/project/vispy,2020-11-28 02:55:50.000000,122.0,12162.0,15346.0,https://anaconda.org/conda-forge/vispy,2021-01-13 03:28:46.609000,124479.0,,,,,2.0,,,,vispy,https://www.npmjs.com/package/vispy,2020-03-15 14:39:41.516000,,73.0,,,,,,,,,,,,,,,\n171,datashader,holoviz/datashader,,data-viz,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000000,2021-02-18 10:45:09.000000,2021-01-17 16:07:42.000000,311,144.0,326.0,2430,1282.0,Quickly and accurately render even the largest data.,43.0,28,True,2021-01-07 16:14:43.000000,0.12.0,22.0,datashader,conda-forge/datashader,,,,657.0,587.0,https://pypi.org/project/datashader,2021-01-07 16:14:43.000000,70.0,8702.0,12345.0,https://anaconda.org/conda-forge/datashader,2021-01-08 10:17:48.622000,142087.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n172,sklearn-pandas,scikit-learn-contrib/sklearn-pandas,,data-containers,https://github.com/scikit-learn-contrib/sklearn-pandas,https://github.com/scikit-learn-contrib/sklearn-pandas,Zlib,2013-04-22 22:55:20.000000,2021-02-16 08:28:21.000000,2021-02-16 08:28:21.000000,387,30.0,118.0,2333,276.0,Pandas integration with sklearn.,35.0,28,False,2021-01-06 16:30:51.000000,2.0.4,24.0,sklearn-pandas,,,,\"['sklearn', 'pandas']\",1975.0,1753.0,https://pypi.org/project/sklearn-pandas,2020-11-07 02:30:27.000000,222.0,92085.0,92085.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n173,NMSLIB,nmslib/nmslib,,nn-search,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06.000000,2021-02-03 16:23:42.000000,2021-02-03 16:21:49.000000,336,46.0,319.0,2289,1495.0,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,44.0,28,True,2021-02-03 16:40:09.000000,2.1.1,32.0,nmslib,conda-forge/nmslib,,,,373.0,321.0,https://pypi.org/project/nmslib,2021-02-03 00:02:08.000000,52.0,42290.0,43661.0,https://anaconda.org/conda-forge/nmslib,2021-01-08 16:19:07.762000,13713.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n174,GPyTorch,cornellius-gp/gpytorch,,probabilistics,https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000000,2021-02-18 13:29:35.000000,2021-02-18 12:58:52.000000,318,210.0,660.0,2289,3328.0,A highly efficient and modular implementation of Gaussian Processes in PyTorch.,73.0,28,True,2021-01-19 22:18:43.000000,1.3.1,25.0,gpytorch,,,,['pytorch'],222.0,214.0,https://pypi.org/project/gpytorch,2021-01-19 22:09:01.000000,8.0,27968.0,27968.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n175,implicit,benfred/implicit,,recommender-systems,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000000,2021-02-10 05:30:09.000000,2021-02-10 05:29:05.000000,459,79.0,257.0,2256,301.0,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,29.0,28,True,2020-09-15 22:01:38.000000,0.4.4,34.0,implicit,conda-forge/implicit,,,,413.0,369.0,https://pypi.org/project/implicit,2020-09-15 22:01:38.000000,44.0,55930.0,61153.0,https://anaconda.org/conda-forge/implicit,2020-11-24 06:44:37.378000,193258.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n176,Keras Tuner,keras-team/keras-tuner,,hyperopt,https://github.com/keras-team/keras-tuner,https://github.com/keras-team/keras-tuner,Apache-2.0,2019-06-06 22:38:21.000000,2021-02-17 20:44:11.000000,2021-02-17 20:44:06.000000,261,145.0,135.0,2238,791.0,Hyperparameter tuning for humans.,29.0,28,True,2020-11-20 19:13:23.000000,1.0.2,5.0,keras-tuner,,,,['tensorflow'],415.0,411.0,https://pypi.org/project/keras-tuner,2020-11-20 19:00:59.000000,4.0,117429.0,117429.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n177,AzureML SDK,Azure/MachineLearningNotebooks,,ml-experiments,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000000,2021-02-17 02:43:49.000000,2021-02-17 02:43:49.000000,1558,89.0,864.0,2148,1095.0,Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft.,53.0,28,True,2021-02-10 03:17:46.000000,1.22.0,68.0,azureml-sdk,,,,,60.0,,https://pypi.org/project/azureml-sdk,2021-02-10 03:17:46.000000,60.0,209840.0,209854.0,,,,,,,,2.0,399.0,,,,,,,,,,,,,,,,,,,,,,\n178,ipyparallel,ipython/ipyparallel,,distributed-ml,https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,BSD-3-Clause,2015-04-09 07:43:55.000000,2021-02-17 17:33:20.000000,2020-08-24 09:09:27.000000,735,143.0,107.0,1892,1817.0,Interactive Parallel Computing in Python.,94.0,28,True,2020-05-05 18:42:38.000000,6.3.0,21.0,ipyparallel,conda-forge/ipyparallel,,,['jupyter'],1911.0,1421.0,https://pypi.org/project/ipyparallel,2020-05-05 18:42:38.000000,490.0,29688.0,36282.0,https://anaconda.org/conda-forge/ipyparallel,2021-01-22 17:12:52.539000,382479.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n179,ImageHash,JohannesBuchner/imagehash,,image,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48.000000,2021-01-03 14:55:33.000000,2021-01-03 14:55:15.000000,247,17.0,70.0,1839,184.0,A Python Perceptual Image Hashing Module.,17.0,28,True,2020-11-19 14:54:24.000000,4.2.0,17.0,ImageHash,conda-forge/imagehash,,,,2566.0,2034.0,https://pypi.org/project/ImageHash,2020-11-19 14:54:24.000000,532.0,211891.0,213902.0,https://anaconda.org/conda-forge/imagehash,2020-11-19 18:20:49.964000,102593.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n180,pyLDAvis,bmabey/pyLDAvis,,interpretability,https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03.000000,2021-02-18 00:40:09.000000,2021-02-11 02:19:08.000000,302,96.0,61.0,1402,223.0,Python library for interactive topic model visualization. Port of the R LDAvis package.,31.0,28,True,2021-02-11 02:19:48.000000,3.2.0,20.0,pyldavis,conda-forge/pyldavis,,,['jupyter'],2000.0,1802.0,https://pypi.org/project/pyldavis,2021-02-11 02:19:48.000000,198.0,44921.0,45588.0,https://anaconda.org/conda-forge/pyldavis,2018-06-22 21:16:15.741000,21350.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n181,torchaudio,pytorch/audio,,audio,https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000000,2021-02-18 12:30:15.000000,2021-02-18 04:55:34.000000,271,152.0,272.0,1232,719.0,\"Data manipulation and transformation for audio signal processing, powered by PyTorch.\",92.0,28,True,2020-12-10 17:02:20.000000,0.7.2,11.0,torchaudio,,,,['pytorch'],1556.0,1547.0,https://pypi.org/project/torchaudio,2020-10-27 16:14:57.000000,9.0,54597.0,54597.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n182,PyTables,PyTables/PyTables,,data-containers,https://github.com/PyTables/PyTables,https://github.com/PyTables/PyTables,BSD-3-Clause,2011-06-03 19:44:46.000000,2021-02-13 19:09:50.000000,2021-02-01 11:26:34.000000,180,156.0,444.0,1003,3950.0,A Python package to manage extremely large amounts of data.,96.0,28,True,2019-10-30 19:33:37.000000,3.6.1,25.0,tables,conda-forge/pytables,,,,3754.0,,https://pypi.org/project/tables,2019-10-30 19:33:37.000000,3754.0,211169.0,253024.0,https://anaconda.org/conda-forge/pytables,2021-01-14 18:41:06.536000,2260087.0,,,,,2.0,125.0,,,,,,,,,,,,,,,,,,,,,,\n183,Keras-Preprocessing,keras-team/keras-preprocessing,,others,https://github.com/keras-team/keras-preprocessing,https://github.com/keras-team/keras-preprocessing,MIT,2018-05-30 22:43:36.000000,2021-02-04 19:43:30.000000,2021-02-04 19:43:30.000000,394,93.0,99.0,909,284.0,\"Utilities for working with image data, text data, and sequence data.\",50.0,28,True,2020-05-14 03:53:47.000000,1.1.2,12.0,keras-preprocessing,conda-forge/keras-preprocessing,,,['tensorflow'],2736.0,,https://pypi.org/project/keras-preprocessing,2020-05-14 03:53:47.000000,2736.0,2393491.0,2419739.0,https://anaconda.org/conda-forge/keras-preprocessing,2021-01-15 12:28:58.923000,839950.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n184,inflect,jaraco/inflect,,nlp,https://github.com/jaraco/inflect,https://github.com/jaraco/inflect,MIT,2010-06-20 13:43:13.000000,2021-01-27 16:38:13.000000,2020-11-15 19:27:28.000000,57,13.0,58.0,478,590.0,\"Correctly generate plurals, ordinals, indefinite articles; convert numbers to words.\",25.0,28,True,2020-11-15 17:41:03.000000,5.0.2,30.0,inflect,conda-forge/inflect,,,,1388.0,,https://pypi.org/project/inflect,2020-11-15 17:40:58.000000,1388.0,689490.0,692293.0,https://anaconda.org/conda-forge/inflect,2021-01-08 13:09:35.481000,128983.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n185,Cython BLIS,explosion/cython-blis,,others,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16.000000,2021-01-31 09:13:47.685000,2020-12-07 07:21:11.000000,22,6.0,15.0,165,524.0,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,9.0,28,True,2020-12-07 08:56:44.000000,0.7.4,35.0,blis,conda-forge/cython-blis,,,,8810.0,8420.0,https://pypi.org/project/blis,2020-12-07 08:56:44.000000,390.0,618954.0,636705.0,https://anaconda.org/conda-forge/cython-blis,2021-01-31 09:13:47.685000,408283.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n186,Streamlit,streamlit/streamlit,,others,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000000,2021-02-18 06:32:35.000000,2021-02-17 21:52:45.000000,1120,587.0,978.0,13342,,Streamlit The fastest way to build data apps in Python.,87.0,27,True,2021-02-04 20:42:52.000000,0.76.0,124.0,streamlit,,,,,93.0,59.0,https://pypi.org/project/streamlit,2021-02-04 20:39:11.000000,34.0,83590.0,83590.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n187,Rasa,RasaHQ/rasa,,nlp,https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49.000000,2021-02-18 13:07:56.000000,2021-02-18 12:40:08.000000,3298,532.0,4499.0,10762,,\"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..\",463.0,27,True,2021-02-17 15:22:42.000000,2.3.1,186.0,rasa,,,,['tensorflow'],64.0,,https://pypi.org/project/rasa,2021-02-17 15:22:31.000000,64.0,57579.0,57579.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n188,EasyOCR,JaidedAI/EasyOCR,,ocr,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000000,2021-02-16 02:22:42.000000,2021-02-16 02:22:41.000000,1084,97.0,165.0,10631,380.0,\"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..\",75.0,27,True,2021-02-07 11:40:27.000000,1.2.4,17.0,easyocr,,,,,125.0,125.0,https://pypi.org/project/easyocr,2021-02-07 11:40:27.000000,0.0,9429.0,30168.0,,,,,,,,1.0,165915.0,,,,,,,,,,,,,,,,,,,,,,\n189,Dopamine,google/dopamine,,reinforcement-learning,https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36.000000,2021-02-12 20:18:33.000000,2021-02-12 19:05:22.000000,1237,80.0,70.0,9311,220.0,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,14.0,27,True,2021-02-12 20:18:33.000000,3.1.9,35.0,dopamine-rl,,,,['tensorflow'],62.0,,https://pypi.org/project/dopamine-rl,2021-02-12 20:18:33.000000,62.0,51146.0,51146.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n190,AutoKeras,keras-team/autokeras,,hyperopt,https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20.000000,2021-02-17 11:13:48.000000,2021-02-15 20:21:53.000000,1259,57.0,663.0,7756,1235.0,AutoML library for deep learning.,126.0,27,True,2020-11-30 02:43:50.000000,1.0.12,46.0,autokeras,,,,['tensorflow'],152.0,145.0,https://pypi.org/project/autokeras,2020-11-30 02:43:50.000000,7.0,2739.0,2739.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n191,pretrainedmodels,Cadene/pretrained-models.pytorch,,pytorch-utils,https://github.com/Cadene/pretrained-models.pytorch,https://github.com/Cadene/pretrained-models.pytorch,BSD-3-Clause,2017-04-09 15:54:23.000000,2020-06-08 16:06:59.000000,2020-04-16 08:02:22.000000,1606,85.0,86.0,7706,154.0,\"Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.\",22.0,27,True,2018-10-29 08:18:45.000000,0.7.4,16.0,pretrainedmodels,,,,['pytorch'],977.0,873.0,https://pypi.org/project/pretrainedmodels,2018-10-29 08:18:45.000000,104.0,24723.0,24723.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n192,tensorboardX,lanpa/tensorboardX,,ml-experiments,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19.000000,2020-10-14 17:46:25.000000,2020-07-05 17:29:00.000000,775,72.0,341.0,6809,460.0,\"tensorboard for pytorch (and chainer, mxnet, numpy, ...).\",64.0,27,True,2020-07-05 17:54:10.000000,2.0,12.0,tensorboardX,conda-forge/tensorboardx,,,,11606.0,10272.0,https://pypi.org/project/tensorboardX,2019-12-31 14:04:21.000000,1334.0,204205.0,211905.0,https://anaconda.org/conda-forge/tensorboardx,2020-07-06 20:33:55.729000,284700.0,,,,,2.0,296.0,,,,,,,,,,,,,,,,,,,,,,\n193,dgl,dmlc/dgl,,graph,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000000,2021-02-18 12:40:55.000000,2021-02-16 08:16:40.000000,1343,234.0,721.0,6662,1567.0,\"Python package built to ease deep learning on graph, on top of existing DL frameworks.\",107.0,27,True,2020-11-30 07:39:12.000000,0.5.3,372.0,dgl,,,,,30.0,,https://pypi.org/project/dgl,2021-02-17 09:25:54.000000,30.0,12228.0,12228.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n194,TensorLayer,tensorlayer/tensorlayer,,reinforcement-learning,https://github.com/tensorlayer/tensorlayer,https://github.com/tensorlayer/tensorlayer,Apache-2.0,2016-06-07 15:55:16.000000,2021-02-18 06:43:10.000000,2021-02-07 08:16:40.000000,1460,17.0,433.0,6487,3329.0,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,131.0,27,True,2021-01-06 07:16:21.000000,2.2.4,82.0,tensorlayer,,,,['tensorflow'],68.0,,https://pypi.org/project/tensorlayer,2020-06-19 00:53:37.000000,68.0,1541.0,1563.0,,,,,,,,2.0,1202.0,,,,,,,,,,,,,,,,,,,,,,\n195,imageai,OlafenwaMoses/ImageAI,,image,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33.000000,2021-02-05 19:32:30.000000,2021-01-05 01:31:12.000000,1642,190.0,409.0,5884,290.0,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,13.0,27,True,2021-01-05 01:26:01.000000,2.1.6,10.0,imageai,,,,,723.0,699.0,https://pypi.org/project/imageai,2021-01-05 01:26:01.000000,24.0,3661.0,19494.0,,,,,,,,2.0,538349.0,,,,,,,,,,,,,,,,,,,,,,\n196,tsfresh,blue-yonder/tsfresh,,time-series-data,https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17.000000,2021-02-11 02:17:59.000000,2021-01-28 17:23:03.000000,852,35.0,402.0,5399,398.0,Automatic extraction of relevant features from time series:.,73.0,27,True,2020-09-09 21:08:22.000000,0.17.0,26.0,tsfresh,conda-forge/tsfresh,,,['sklearn'],66.0,,https://pypi.org/project/tsfresh,2020-09-09 21:08:22.000000,66.0,104780.0,105517.0,https://anaconda.org/conda-forge/tsfresh,2020-09-10 08:48:19.773000,28747.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n197,featuretools,alteryx/featuretools,,hyperopt,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17.000000,2021-02-18 14:21:45.000000,2021-02-18 14:21:40.000000,696,111.0,406.0,5397,569.0,An open source python library for automated feature engineering.,49.0,27,True,2021-01-29 21:44:27.000000,0.23.1,65.0,featuretools,conda-forge/featuretools,,,,744.0,674.0,https://pypi.org/project/featuretools,2021-01-29 21:44:27.000000,70.0,41597.0,43338.0,https://anaconda.org/conda-forge/featuretools,2021-02-01 15:41:42.671000,45269.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n198,CleverHans,cleverhans-lab/cleverhans,,adversarial,https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04.000000,2021-02-09 14:17:10.000000,2021-02-01 06:21:20.000000,1209,75.0,413.0,4950,3046.0,\"An adversarial example library for constructing attacks, building defenses, and benchmarking both.\",115.0,27,True,2021-02-01 06:35:42.000000,3.1.0,7.0,cleverhans,,,,['tensorflow'],200.0,192.0,https://pypi.org/project/cleverhans,2018-11-27 17:36:15.000000,8.0,330.0,330.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n199,Bayesian Optimization,fmfn/BayesianOptimization,,hyperopt,https://github.com/fmfn/BayesianOptimization,https://github.com/fmfn/BayesianOptimization,MIT,2014-06-06 08:18:56.000000,2021-02-16 13:11:04.000000,2020-12-19 01:11:23.000000,1097,40.0,164.0,4885,199.0,A Python implementation of global optimization with gaussian processes.,27.0,27,True,2020-05-16 16:03:51.000000,1.2.0,8.0,bayesian-optimization,,,,,715.0,623.0,https://pypi.org/project/bayesian-optimization,2020-05-16 15:56:09.000000,92.0,36958.0,36959.0,,,,,,,,2.0,47.0,,,,,,,,,,,,,,,,,,,,,,\n200,Datasette,simonw/datasette,,others,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000000,2021-02-18 01:20:44.000000,2021-02-18 01:20:15.000000,256,231.0,752.0,4698,1574.0,An open source multi-tool for exploring and publishing data.,42.0,27,True,2021-02-02 21:35:16.000000,0.54.1,90.0,datasette,,,,,439.0,369.0,https://pypi.org/project/datasette,2021-02-02 21:35:16.000000,70.0,3870.0,3870.0,,,,,,,,2.0,29.0,,,,,,,,,datasette,,,,,,,,,,,,,\n201,GluonCV,dmlc/gluon-cv,,image,https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21.000000,2021-02-18 09:01:55.000000,2021-02-17 23:36:41.000000,1051,370.0,376.0,4550,842.0,Gluon CV Toolkit.,111.0,27,True,2021-02-01 21:30:20.000000,0.9.2,1004.0,gluoncv,,,,['mxnet'],459.0,429.0,https://pypi.org/project/gluoncv,2021-02-18 09:01:55.000000,30.0,32936.0,32936.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n202,PDFMiner,euske/pdfminer,,data-loading,https://github.com/euske/pdfminer,https://github.com/euske/pdfminer,MIT,2010-12-12 12:50:22.000000,2021-02-16 14:43:27.000000,2020-01-18 07:00:32.000000,1024,222.0,40.0,4502,540.0,Python PDF Parser (Not actively maintained). Check out pdfminer.six.,28.0,27,False,,,24.0,pdfminer,conda-forge/pdfminer,,,,3520.0,2054.0,https://pypi.org/project/pdfminer,2019-11-25 12:02:21.000000,1466.0,74650.0,74910.0,https://anaconda.org/conda-forge/pdfminer,2021-02-15 15:07:18.804000,14041.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n203,snorkel,snorkel-team/snorkel,,data-loading,https://github.com/snorkel-team/snorkel,https://github.com/snorkel-team/snorkel,Apache-2.0,2016-02-26 05:52:45.000000,2021-02-17 12:05:30.000000,2021-02-14 19:54:21.000000,719,29.0,915.0,4477,2647.0,A system for quickly generating training data with weak supervision.,62.0,27,True,2020-08-09 03:07:36.000000,0.9.6,17.0,snorkel,conda-forge/snorkel,,,,74.0,70.0,https://pypi.org/project/snorkel,2020-04-07 01:35:21.000000,4.0,59301.0,60143.0,https://anaconda.org/conda-forge/snorkel,2020-04-10 13:08:54.445000,15811.0,,,,,3.0,506.0,,,,,,,,,,,,,,,,,,,,,,\n204,librosa,librosa/librosa,,audio,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000000,2021-02-16 15:24:03.000000,2021-02-16 15:24:03.000000,684,61.0,781.0,4294,,Python library for audio and music analysis.,81.0,27,True,2020-07-22 01:34:55.000000,0.8.0,28.0,librosa,conda-forge/librosa,,,,11161.0,9411.0,https://pypi.org/project/librosa,2020-07-22 01:34:55.000000,1750.0,212344.0,216878.0,https://anaconda.org/conda-forge/librosa,2020-07-22 10:27:18.402000,249370.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n205,DEAP,deap/deap,,distributed-ml,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39.000000,2021-02-15 01:10:14.000000,2020-12-25 17:33:18.000000,844,167.0,222.0,4086,2147.0,Distributed Evolutionary Algorithms in Python.,67.0,27,False,2020-01-21 01:18:06.000000,1.3.1,16.0,deap,conda-forge/deap,,,,2100.0,1618.0,https://pypi.org/project/deap,2020-01-21 01:18:06.000000,482.0,46644.0,48681.0,https://anaconda.org/conda-forge/deap,2021-01-13 14:43:13.393000,114079.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n206,sktime,alan-turing-institute/sktime,,time-series-data,https://github.com/alan-turing-institute/sktime,https://github.com/alan-turing-institute/sktime,BSD-3-Clause,2018-11-06 15:08:24.000000,2021-02-18 13:31:14.000000,2021-02-17 19:29:18.000000,439,115.0,236.0,3611,1713.0,A unified framework for machine learning with time series.,76.0,27,True,2021-02-06 11:40:49.000000,0.5.3,13.0,sktime,,,,['sklearn'],108.0,108.0,https://pypi.org/project/sktime,2021-02-06 11:40:49.000000,0.0,9184.0,9186.0,,,,,,,,1.0,53.0,,,,,,,,,,,,,,,,,,,,,,\n207,InterpretML,interpretml/interpret,,interpretability,https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000000,2021-02-17 08:21:47.000000,2021-02-17 08:20:57.000000,429,51.0,121.0,3472,1488.0,Fit interpretable models. Explain blackbox machine learning.,23.0,27,True,2021-01-20 02:12:33.000000,0.2.4,34.0,interpret,,,,['jupyter'],64.0,62.0,https://pypi.org/project/interpret,2021-01-20 02:10:35.000000,2.0,8125.0,8125.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n208,Ignite,pytorch/ignite,,ml-frameworks,https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000000,2021-02-18 07:29:37.000000,2021-02-17 20:33:24.000000,433,105.0,626.0,3263,901.0,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,124.0,27,True,2021-02-07 23:18:54.000000,0.4.3,469.0,pytorch-ignite,pytorch/ignite,,,['pytorch'],815.0,753.0,https://pypi.org/project/pytorch-ignite,2021-02-18 00:30:52.000000,62.0,22655.0,24337.0,https://anaconda.org/pytorch/ignite,2021-02-07 23:18:48.877000,53827.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n209,Alpha Vantage,RomelTorres/alpha_vantage,,financial-data,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00.000000,2021-02-17 12:42:04.000000,2020-12-21 19:51:57.000000,560,16.0,214.0,3138,497.0,A python wrapper for Alpha Vantage API for financial data.,36.0,27,True,2020-12-21 02:37:29.000000,2.3.1,28.0,alpha_vantage,,,,,202.0,,https://pypi.org/project/alpha_vantage,2018-08-26 18:55:11.000000,202.0,11722.0,11722.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n210,Dagster,dagster-io/dagster,,data-pipelines,https://github.com/dagster-io/dagster,https://github.com/dagster-io/dagster,Apache-2.0,2018-04-30 16:30:04.000000,2021-02-18 06:06:01.000000,2021-02-18 01:37:18.000000,293,645.0,1888.0,2923,6679.0,\"A data orchestrator for machine learning, analytics, and ETL.\",116.0,27,True,2021-02-11 20:30:17.000000,0.10.5,236.0,dagster,conda-forge/dagster,,,,143.0,139.0,https://pypi.org/project/dagster,2021-02-11 20:30:17.000000,4.0,19881.0,29542.0,https://anaconda.org/conda-forge/dagster,2021-02-06 00:41:12.237000,144920.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n211,missingno,ResidentMario/missingno,,data-viz,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50.000000,2020-12-28 16:13:39.000000,2020-12-28 16:13:38.000000,347,15.0,88.0,2646,170.0,Missing data visualization module for Python.,15.0,27,True,2019-07-09 16:05:14.000000,0.4.2,22.0,missingno,conda-forge/missingno,,,,3045.0,2893.0,https://pypi.org/project/missingno,2019-07-09 16:05:14.000000,152.0,97349.0,99077.0,https://anaconda.org/conda-forge/missingno,2020-02-15 10:07:41.253000,74345.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n212,pomegranate,jmschrei/pomegranate,,probabilistics,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000000,2021-02-12 22:35:15.000000,2021-02-12 22:35:15.000000,472,38.0,542.0,2600,884.0,\"Fast, flexible and easy to use probabilistic modelling in Python.\",61.0,27,True,2021-02-08 05:14:21.000000,0.14.1,63.0,pomegranate,conda-forge/pomegranate,,,,450.0,394.0,https://pypi.org/project/pomegranate,2021-02-12 19:38:41.000000,56.0,14708.0,17098.0,https://anaconda.org/conda-forge/pomegranate,2020-11-01 16:22:04.857000,45411.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n213,plotnine,has2k1/plotnine,,data-viz,https://github.com/has2k1/plotnine,https://github.com/has2k1/plotnine,GPL-2.0,2017-04-24 19:00:44.000000,2021-02-17 11:05:41.000000,2021-01-06 10:16:20.000000,129,61.0,350.0,2573,1673.0,A grammar of graphics for Python.,81.0,27,False,2020-08-05 20:10:30.000000,0.7.1,10.0,plotnine,conda-forge/plotnine,,,,1694.0,1567.0,https://pypi.org/project/plotnine,2020-08-05 18:55:16.000000,127.0,73479.0,75521.0,https://anaconda.org/conda-forge/plotnine,2020-08-06 19:52:38.810000,91926.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n214,Jina,jina-ai/jina,,ml-frameworks,https://github.com/jina-ai/jina,https://github.com/jina-ai/jina,Apache-2.0,2020-02-13 17:04:44.000000,2021-02-18 14:05:43.000000,2021-02-18 06:33:23.000000,363,49.0,601.0,2333,4827.0,An easier way to build neural search on the cloud.,86.0,27,True,2021-02-14 23:13:04.000000,1.0.1,355.0,jina,,jinaai/jina,,,46.0,46.0,https://pypi.org/project/jina,2021-02-18 02:35:35.000000,,3396.0,14211.0,,,,https://hub.docker.com/r/jinaai/jina,2021-02-18 06:45:48.477011,,129783.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n215,eli5,TeamHG-Memex/eli5,,interpretability,https://github.com/TeamHG-Memex/eli5,https://github.com/TeamHG-Memex/eli5,MIT,2016-09-15 01:04:57.000000,2021-01-25 08:24:59.385000,2020-01-22 07:39:36.000000,296,145.0,110.0,2297,1198.0,A library for debugging/inspecting machine learning classifiers and explaining their predictions.,14.0,27,False,2021-01-23 14:25:24.000000,0.11.0,28.0,eli5,conda-forge/eli5,,,,110.0,,https://pypi.org/project/eli5,2021-01-23 14:25:24.000000,110.0,118712.0,120663.0,https://anaconda.org/conda-forge/eli5,2021-01-25 08:24:59.385000,87798.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n216,ta,bukosabino/ta,,financial-data,https://github.com/bukosabino/ta,https://github.com/bukosabino/ta,MIT,2018-01-02 18:08:48.000000,2021-01-23 22:06:12.000000,2020-11-29 21:08:14.000000,482,72.0,82.0,1846,582.0,Technical Analysis Library using Pandas and Numpy.,23.0,27,True,2020-11-29 10:49:09.000000,0.7.0,49.0,ta,,,,,436.0,424.0,https://pypi.org/project/ta,2020-11-29 10:49:09.000000,12.0,15703.0,15703.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n217,TF-Agents,tensorflow/agents,,reinforcement-learning,https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000000,2021-02-18 00:20:19.000000,2021-02-18 00:19:34.000000,469,111.0,315.0,1796,1630.0,TF-Agents is a library for Reinforcement Learning in TensorFlow.,85.0,27,True,2021-01-05 18:41:58.000000,0.7.1,18.0,tf-agents,,,,['tensorflow'],390.0,378.0,https://pypi.org/project/tf-agents,2021-01-05 18:41:58.000000,12.0,5235.0,5235.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n218,filterpy,rlabbe/filterpy,,probabilistics,https://github.com/rlabbe/filterpy,https://github.com/rlabbe/filterpy,MIT,2014-07-15 02:15:19.000000,2021-02-08 17:56:29.000000,2021-02-08 17:55:48.000000,404,21.0,147.0,1678,536.0,\"Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman..\",33.0,27,True,2018-10-10 22:38:24.000000,1.4.5,48.0,filterpy,conda-forge/filterpy,,,,934.0,722.0,https://pypi.org/project/filterpy,2018-10-10 22:38:24.000000,212.0,21330.0,22622.0,https://anaconda.org/conda-forge/filterpy,2020-05-05 21:13:59.073000,56854.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n219,MNE,mne-tools/mne-python,,medical-data,https://github.com/mne-tools/mne-python,https://github.com/mne-tools/mne-python,BSD-3-Clause,2011-01-28 03:31:13.000000,2021-02-18 12:37:28.000000,2021-02-17 17:59:09.000000,860,326.0,3127.0,1511,,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,234.0,27,True,2020-12-17 15:32:54.000000,0.22.0,50.0,mne,conda-forge/mne,,,,1028.0,830.0,https://pypi.org/project/mne,2020-12-17 15:32:54.000000,198.0,14571.0,16754.0,https://anaconda.org/conda-forge/mne,2020-12-20 21:44:36.472000,104802.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n220,Flax,google/flax,,ml-frameworks,https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000000,2021-02-18 12:32:19.000000,2021-02-18 12:32:10.000000,168,145.0,154.0,1458,1622.0,Flax is a neural network ecosystem for JAX that is designed for flexibility.,74.0,27,True,2020-12-08 15:14:03.000000,0.3.0,9.0,flax,,,,['jax'],105.0,99.0,https://pypi.org/project/flax,2020-12-08 15:14:03.000000,6.0,50867.0,50869.0,,,,,,,,3.0,23.0,,,,,,,,,,,,,,,,,,,,,,\n221,Cartopy,mapbox/rasterio,,geospatial-data,https://github.com/mapbox/rasterio,https://github.com/mapbox/rasterio,LGPL-3.0,2013-11-04 16:36:27.000000,2021-02-15 15:57:22.000000,2021-02-12 16:31:13.000000,390,137.0,1208.0,1433,3269.0,Rasterio reads and writes geospatial raster datasets.,107.0,27,False,2020-05-04 03:02:47.000000,0.18.0,19.0,Cartopy,conda-forge/cartopy,,,,3085.0,2739.0,https://pypi.org/project/Cartopy,2020-05-04 03:02:47.000000,346.0,13359.0,36500.0,https://anaconda.org/conda-forge/cartopy,2021-02-12 18:27:31.764000,1364747.0,,,,,3.0,702.0,,,,,,,,,,,,,,,,,,,,,,\n222,datasketch,ekzhu/datasketch,,data-containers,https://github.com/ekzhu/datasketch,https://github.com/ekzhu/datasketch,MIT,2015-03-20 01:21:46.000000,2021-01-28 09:09:53.000000,2020-12-23 21:00:36.000000,207,20.0,91.0,1426,193.0,\"MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble.\",16.0,27,True,2020-12-23 21:01:43.000000,1.5.3,75.0,datasketch,,,,,341.0,255.0,https://pypi.org/project/datasketch,2020-12-23 21:01:43.000000,86.0,118314.0,118314.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,,,,,\n223,GPflow,GPflow/GPflow,,probabilistics,https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000000,2021-02-18 12:56:51.000000,2021-02-03 13:45:29.000000,389,86.0,602.0,1388,2203.0,Gaussian processes in TensorFlow.,68.0,27,True,2020-12-01 13:12:15.000000,2.1.4,28.0,gpflow,conda-forge/gpflow,,,['tensorflow'],255.0,221.0,https://pypi.org/project/gpflow,2020-12-01 13:12:15.000000,34.0,2069.0,2317.0,https://anaconda.org/conda-forge/gpflow,2018-11-06 08:51:39.744000,8206.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n224,ipyleaflet,jupyter-widgets/ipyleaflet,,geospatial-data,https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10.000000,2021-02-11 08:35:25.000000,2021-02-11 08:35:24.000000,278,134.0,251.0,1086,908.0,A Jupyter - Leaflet.js bridge.,63.0,27,True,2021-01-05 16:38:38.000000,0.13.6,70.0,ipyleaflet,conda-forge/ipyleaflet,,,['jupyter'],794.0,694.0,https://pypi.org/project/ipyleaflet,2021-01-05 16:38:38.000000,98.0,12463.0,182355.0,https://anaconda.org/conda-forge/ipyleaflet,2021-01-16 23:51:37.383000,599124.0,,,,,3.0,,,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2021-01-05 16:30:30.235000,2.0,159382.0,,,,,,,,,,,,,,,\n225,PyCUDA,inducer/pycuda,,gpu-utilities,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000000,2021-02-14 18:27:37.000000,2021-02-14 18:27:37.000000,216,41.0,125.0,1086,1457.0,\"CUDA integration for Python, plus shiny features.\",69.0,27,True,2019-08-12 04:15:37.000000,2019.1.2,46.0,pycuda,,,,,1029.0,737.0,https://pypi.org/project/pycuda,2020-10-07 21:59:52.000000,292.0,11020.0,11020.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n226,Model Analysis,tensorflow/model-analysis,,interpretability,https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000000,2021-02-17 20:16:33.000000,2021-02-17 20:16:28.000000,210,25.0,32.0,1035,898.0,Model analysis tools for TensorFlow.,33.0,27,True,2021-01-28 16:24:19.000000,0.27.0,34.0,tensorflow-model-analysis,,,,\"['tensorflow', 'jupyter']\",20.0,,https://pypi.org/project/tensorflow-model-analysis,2021-01-28 16:24:19.000000,20.0,3675364.0,3675364.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n227,petl,petl-developers/petl,,data-pipelines,https://github.com/petl-developers/petl,https://github.com/petl-developers/petl,MIT,2011-08-19 09:51:03.000000,2021-02-04 21:23:53.862000,2021-02-04 17:18:53.000000,151,66.0,342.0,833,1131.0,Python Extract Transform and Load Tables of Data.,44.0,27,True,2021-02-04 17:27:02.000000,1.7.2,77.0,petl,conda-forge/petl,,http://petl.readthedocs.org,,439.0,325.0,https://pypi.org/project/petl,2021-02-04 19:33:48.000000,114.0,11987.0,12367.0,https://anaconda.org/conda-forge/petl,2021-02-04 21:23:53.862000,20192.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n228,pyopencl,inducer/pyopencl,,others,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,MIT,2011-04-06 02:51:33.000000,2021-02-18 01:11:48.000000,2021-02-18 01:11:47.000000,209,52.0,208.0,780,2908.0,\"OpenCL integration for Python, plus shiny features.\",83.0,27,True,2021-01-28 14:18:50.000000,2021.1.1,56.0,pyopencl,conda-forge/pyopencl,,,,707.0,469.0,https://pypi.org/project/pyopencl,2021-01-28 14:18:50.000000,238.0,5876.0,11997.0,https://anaconda.org/conda-forge/pyopencl,2021-02-17 23:10:21.103000,318302.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n229,igraph,igraph/python-igraph,,graph,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16.000000,2021-02-15 11:36:01.000000,2021-02-15 11:35:57.000000,181,27.0,258.0,774,1581.0,Python interface for igraph.,49.0,27,False,2020-10-08 14:50:52.000000,0.8.3,18.0,python-igraph,conda-forge/igraph,,,,1881.0,1457.0,https://pypi.org/project/python-igraph,2020-04-28 17:45:27.000000,424.0,35396.0,40774.0,https://anaconda.org/conda-forge/igraph,2021-01-05 11:05:57.682000,199420.0,,,,,1.0,65486.0,,,,,,,,,,,,,,,,,,,,,,\n230,patsy,pydata/patsy,,probabilistics,https://github.com/pydata/patsy,https://github.com/pydata/patsy,BSD-2-Clause,2012-07-10 12:30:06.000000,2020-09-09 13:00:29.000000,2018-10-31 21:55:48.000000,85,78.0,52.0,737,517.0,Describing statistical models in Python using symbolic formulas.,13.0,27,False,2018-10-28 05:07:55.000000,0.5.1,8.0,patsy,conda-forge/patsy,,,,35075.0,30151.0,https://pypi.org/project/patsy,2018-10-28 03:59:51.000000,4924.0,1725286.0,1773404.0,https://anaconda.org/conda-forge/patsy,2018-10-28 05:21:35.412000,2598386.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n231,data-validation,tensorflow/data-validation,,data-viz,https://github.com/tensorflow/data-validation,https://github.com/tensorflow/data-validation,Apache-2.0,2018-07-02 15:47:02.000000,2021-02-16 20:22:50.000000,2021-02-16 20:22:45.000000,95,39.0,74.0,520,572.0,Library for exploring and validating machine learning data.,20.0,27,True,2021-01-28 20:18:27.000000,0.27.0,24.0,tensorflow-data-validation,,,,\"['tensorflow', 'jupyter']\",250.0,232.0,https://pypi.org/project/tensorflow-data-validation,2021-01-28 20:18:27.000000,18.0,3809043.0,3809050.0,,,,,,,,2.0,204.0,,,,,,,,,,,,,,,,,,,,,,\n232,DIPY,dipy/dipy,,medical-data,https://github.com/dipy/dipy,https://github.com/dipy/dipy,BSD-3-Clause,2010-02-06 11:43:08.000000,2021-02-17 21:54:57.000000,2021-02-12 17:03:28.000000,313,156.0,572.0,391,11378.0,\"DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal..\",118.0,27,True,2020-11-05 17:35:53.000000,1.3.0,21.0,dipy,conda-forge/dipy,,,,430.0,336.0,https://pypi.org/project/dipy,2020-11-05 17:35:53.000000,94.0,3948.0,7162.0,https://anaconda.org/conda-forge/dipy,2020-11-14 18:28:50.683000,183222.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n233,audioread,beetbox/audioread,,audio,https://github.com/beetbox/audioread,https://github.com/beetbox/audioread,MIT,2011-11-08 19:53:18.000000,2020-12-08 20:08:37.201000,2020-10-20 11:22:05.000000,83,31.0,44.0,359,232.0,cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python.,20.0,27,True,2020-10-20 11:23:09.000000,2.1.9,25.0,audioread,conda-forge/audioread,,,,4766.0,4180.0,https://pypi.org/project/audioread,2020-10-20 11:23:09.000000,586.0,203659.0,207286.0,https://anaconda.org/conda-forge/audioread,2020-12-08 20:08:37.201000,199524.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n234,CNTK,microsoft/CNTK,,ml-frameworks,https://github.com/microsoft/CNTK,https://github.com/microsoft/CNTK,MIT,2015-11-26 09:52:06.000000,2020-12-09 22:21:57.000000,2020-03-31 15:55:14.000000,4408,833.0,2519.0,16964,16116.0,\"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.\",266.0,26,True,2019-04-26 14:13:32.000000,2.7,32.0,cntk,,,,,34.0,,https://pypi.org/project/cntk,2020-12-09 22:21:57.000000,34.0,797.0,1020.0,,,,,,,,3.0,13604.0,,,,,,,,,,,,,,,,,,,,,,\n235,detectron2,facebookresearch/detectron2,,image,https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000000,2021-02-17 00:09:49.000000,2021-02-17 00:09:41.000000,3795,90.0,2163.0,15009,955.0,Detectron2 is FAIR's next-generation platform for object detection and segmentation.,147.0,26,True,2020-11-06 03:20:56.000000,0.3,7.0,,conda-forge/detectron2,,,['pytorch'],164.0,164.0,,,,,1496.0,https://anaconda.org/conda-forge/detectron2,2020-08-05 13:27:52.058000,13468.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n236,NNI,microsoft/nni,,hyperopt,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44.000000,2021-02-18 14:41:54.000000,2021-02-14 14:34:48.000000,1206,258.0,877.0,9095,1946.0,\"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..\",117.0,26,True,2021-01-14 05:58:03.000000,2.0,37.0,nni,,,,,106.0,90.0,https://pypi.org/project/nni,2021-01-14 05:49:34.000000,16.0,946.0,946.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n237,InsightFace,deepinsight/insightface,,image,https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,MIT,2017-09-01 00:36:51.000000,2021-01-29 04:03:06.000000,2021-01-27 11:17:49.000000,2953,716.0,654.0,8577,1476.0,Face Analysis Project on MXNet.,15.0,26,True,2019-09-07 13:47:11.000000,0.1.5,6.0,insightface,,,,['mxnet'],53.0,51.0,https://pypi.org/project/insightface,2019-09-07 13:47:11.000000,2.0,3005.0,3005.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n238,PyTorch Image Models,rwightman/pytorch-image-models,,image,https://github.com/rwightman/pytorch-image-models,https://github.com/rwightman/pytorch-image-models,Apache-2.0,2019-02-02 05:51:12.000000,2021-02-18 14:19:07.000000,2021-02-16 18:27:58.000000,1029,23.0,234.0,7253,715.0,\"PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2,..\",29.0,26,True,2021-02-18 08:02:36.000000,0.1-dnf-weights,17.0,,,,,['pytorch'],314.0,314.0,,,,,11548.0,,,,,,,,2.0,242519.0,,,,,,,,,,,,,,,,,,,,,,\n239,PySyft,OpenMined/PySyft,,privacy-ml,https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,Apache-2.0,2017-07-18 20:41:16.000000,2021-02-18 14:24:56.000000,2021-02-16 08:43:10.000000,1538,180.0,2525.0,6866,6515.0,A library for answering questions using data you cannot see.,345.0,26,True,2020-11-12 19:57:33.000000,0.3.0,48.0,syft,,,,['pytorch'],3.0,,https://pypi.org/project/syft,2020-09-14 15:03:40.000000,3.0,1176.0,1176.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n240,backtrader,mementum/backtrader,,financial-data,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52.000000,2021-02-11 20:51:14.000000,2021-02-11 20:51:09.000000,1799,18.0,,5705,2383.0,Python Backtesting library for trading strategies.,51.0,26,False,,,155.0,backtrader,,,,,527.0,457.0,https://pypi.org/project/backtrader,2020-07-03 13:02:14.000000,70.0,15493.0,15493.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n241,carla,carla-simulator/carla,,others,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000000,2021-02-18 15:01:11.000000,2021-02-16 14:27:47.000000,1666,322.0,2680.0,5606,4760.0,Open-source simulator for autonomous driving research.,122.0,26,True,2020-12-23 07:08:35.000000,0.9.11,22.0,carla,,,,,63.0,59.0,https://pypi.org/project/carla,2019-04-28 17:45:24.000000,4.0,378.0,378.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n242,auto-sklearn,automl/auto-sklearn,,hyperopt,https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10.000000,2021-02-18 12:36:16.000000,2021-02-17 13:53:31.000000,980,126.0,575.0,5213,2424.0,Automated Machine Learning with scikit-learn.,63.0,26,True,2021-02-17 13:56:10.000000,0.12.3,27.0,auto-sklearn,,,,['sklearn'],161.0,131.0,https://pypi.org/project/auto-sklearn,2021-02-17 13:54:45.000000,30.0,3807.0,3807.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n243,DeepPavlov,deepmipt/DeepPavlov,,nlp,https://github.com/deepmipt/DeepPavlov,https://github.com/deepmipt/DeepPavlov,Apache-2.0,2017-11-17 14:35:29.000000,2021-02-16 17:15:11.000000,2020-12-24 16:30:15.000000,891,92.0,449.0,5008,2579.0,An open source library for deep learning end-to-end dialog systems and chatbots.,61.0,26,True,2020-12-24 16:35:56.000000,0.14.0,41.0,deeppavlov,,,,['tensorflow'],180.0,176.0,https://pypi.org/project/deeppavlov,2020-12-24 16:33:49.000000,4.0,4111.0,4111.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n244,scikit-surprise,NicolasHug/Surprise,,recommender-systems,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38.000000,2020-10-13 01:22:58.850000,2020-08-05 17:45:59.000000,826,35.0,285.0,4690,622.0,A Python scikit for building and analyzing recommender systems.,38.0,26,True,2020-07-19 14:50:48.000000,1.1.1,9.0,scikit-surprise,conda-forge/scikit-surprise,,,,930.0,906.0,https://pypi.org/project/scikit-surprise,2020-07-19 14:50:48.000000,24.0,20373.0,24604.0,https://anaconda.org/conda-forge/scikit-surprise,2020-10-13 01:22:58.850000,156575.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n245,OCRmyPDF,jbarlow83/OCRmyPDF,,ocr,https://github.com/jbarlow83/OCRmyPDF,https://github.com/jbarlow83/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000000,2021-02-17 20:40:43.000000,2021-02-15 09:48:14.000000,431,93.0,573.0,3876,2843.0,\"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.\",49.0,26,True,2021-02-15 10:20:48.000000,11.6.2,161.0,ocrmypdf,,,,,125.0,113.0,https://pypi.org/project/ocrmypdf,2021-02-15 10:20:48.000000,12.0,7040.0,7040.0,,,,,,,,2.0,,,,,,,,,,ocrmypdf,ocrmypdf,,,,,,,,,,,,\n246,skorch,skorch-dev/skorch,,ml-frameworks,https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000000,2021-02-07 15:39:41.000000,2021-02-07 15:39:41.000000,272,48.0,319.0,3785,945.0,A scikit-learn compatible neural network library that wraps PyTorch.,39.0,26,True,2020-08-30 10:46:40.000000,0.9.0,12.0,skorch,conda-forge/skorch,,,\"['pytorch', 'sklearn']\",285.0,272.0,https://pypi.org/project/skorch,2020-08-30 10:43:37.000000,13.0,5494.0,11934.0,https://anaconda.org/conda-forge/skorch,2020-09-19 04:12:07.576000,186770.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n247,pyAudioAnalysis,tyiannak/pyAudioAnalysis,,audio,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13.000000,2021-02-18 10:20:50.000000,2021-01-04 18:37:38.000000,963,165.0,106.0,3766,675.0,\"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.\",23.0,26,True,2020-09-29 21:30:02.000000,0.3.6,15.0,pyAudioAnalysis,,,,,194.0,183.0,https://pypi.org/project/pyAudioAnalysis,2020-09-29 21:30:02.000000,11.0,6557.0,6557.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n248,mlpack,mlpack/mlpack,,ml-frameworks,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59.000000,2021-02-18 13:21:39.000000,2021-02-15 21:33:35.000000,1314,147.0,1200.0,3562,25953.0,mlpack: a scalable C++ machine learning library --.,265.0,26,True,2020-10-28 18:28:47.000000,3.4.2,40.0,mlpack,conda-forge/mlpack,,,,0.0,,https://pypi.org/project/mlpack,2020-10-28 18:28:47.000000,0.0,78.0,2177.0,https://anaconda.org/conda-forge/mlpack,2020-10-29 09:35:18.918000,65096.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n249,lightfm,lyst/lightfm,,recommender-systems,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00.000000,2021-02-09 09:07:19.000000,2021-02-07 21:16:06.000000,563,127.0,337.0,3489,428.0,\"A Python implementation of LightFM, a hybrid recommendation algorithm.\",44.0,26,True,2020-11-27 19:48:30.000000,1.16,14.0,lightfm,conda-forge/lightfm,,,,450.0,394.0,https://pypi.org/project/lightfm,2020-11-27 19:55:08.000000,56.0,57008.0,59069.0,https://anaconda.org/conda-forge/lightfm,2021-02-07 22:19:58.097000,76276.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n250,Perspective,finos/perspective,,data-viz,https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000000,2021-02-17 03:58:27.000000,2021-02-15 01:11:07.000000,349,73.0,306.0,3213,4351.0,Streaming pivot visualization via WebAssembly.,62.0,26,True,2021-02-11 21:02:36.810000,0.6.1,39.0,perspective-python,,,,['jupyter'],183.0,175.0,https://pypi.org/project/perspective-python,2021-01-14 04:18:20.000000,8.0,450.0,2370.0,,,,,,,,2.0,,,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2021-02-12 04:20:19.050000,,1920.0,,,,,,,,,,,,,,,\n251,AutoGluon,awslabs/autogluon,,hyperopt,https://github.com/awslabs/autogluon,https://github.com/awslabs/autogluon,Apache-2.0,2019-07-29 18:51:24.000000,2021-02-18 10:10:48.000000,2021-02-18 08:16:21.000000,389,116.0,270.0,2984,510.0,\"AutoGluon: AutoML for Text, Image, and Tabular Data.\",52.0,26,True,2020-12-08 19:01:22.000000,0.0.15,331.0,autogluon,,,,['mxnet'],46.0,46.0,https://pypi.org/project/autogluon,2021-02-18 09:14:22.000000,0.0,10461.0,10461.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n252,textract,deanmalmgren/textract,,data-loading,https://github.com/deanmalmgren/textract,https://github.com/deanmalmgren/textract,MIT,2014-07-03 20:36:59.000000,2021-02-15 14:04:11.000000,2019-11-14 08:37:39.000000,424,84.0,121.0,2959,556.0,extract text from any document. no muss. no fuss.,30.0,26,False,2019-08-26 15:05:53.000000,1.6.3,15.0,textract,conda-forge/textract,,,,192.0,,https://pypi.org/project/textract,2019-08-26 15:05:53.000000,192.0,17343.0,17541.0,https://anaconda.org/conda-forge/textract,2017-03-20 21:15:33.254000,10506.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n253,ftfy,LuminosoInsight/python-ftfy,,nlp,https://github.com/LuminosoInsight/python-ftfy,https://github.com/LuminosoInsight/python-ftfy,MIT,2012-08-24 16:14:59.000000,2021-02-12 18:55:11.000000,2021-02-11 19:54:35.000000,101,11.0,97.0,2890,524.0,\"Fixes mojibake and other glitches in Unicode text, after the fact.\",17.0,26,True,2020-02-18 16:42:00.000000,5.6.1,42.0,ftfy,conda-forge/ftfy,,,,3541.0,2781.0,https://pypi.org/project/ftfy,2021-02-11 19:55:25.000000,760.0,251336.0,253398.0,https://anaconda.org/conda-forge/ftfy,2021-01-20 08:08:09.562000,94882.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n254,nevergrad,facebookresearch/nevergrad,,hyperopt,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000000,2021-02-18 08:29:12.000000,2021-02-17 19:14:21.000000,272,80.0,120.0,2829,780.0,A Python toolbox for performing gradient-free optimization.,42.0,26,True,2021-01-28 12:05:40.000000,0.4.3,27.0,nevergrad,conda-forge/nevergrad,,,,148.0,134.0,https://pypi.org/project/nevergrad,2021-01-28 12:05:40.000000,14.0,8575.0,9189.0,https://anaconda.org/conda-forge/nevergrad,2020-12-14 18:21:29.267000,6145.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n255,Catalyst,catalyst-team/catalyst,,ml-experiments,https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13.000000,2021-02-18 10:14:32.000000,2021-01-21 11:13:00.000000,273,18.0,265.0,2434,1469.0,Accelerated deep learning R&D.,81.0,26,True,2020-12-20 10:12:32.000000,20.12,88.0,catalyst,,,,['pytorch'],341.0,303.0,https://pypi.org/project/catalyst,2021-02-03 07:06:09.000000,38.0,4558.0,4558.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n256,pygal,Kozea/pygal,,graph,https://github.com/Kozea/pygal,https://github.com/Kozea/pygal,LGPL-3.0,2011-09-23 10:17:50.000000,2020-12-24 20:11:00.000000,2020-10-14 16:41:45.000000,380,164.0,240.0,2324,1012.0,PYthon svg GrAph plotting Library.,69.0,26,False,2017-07-05 09:22:41.000000,2.4.0,74.0,pygal,conda-forge/pygal,,,,1152.0,,https://pypi.org/project/pygal,2020-10-14 13:06:35.000000,1152.0,44884.0,45173.0,https://anaconda.org/conda-forge/pygal,2019-06-04 02:55:56.728000,5795.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n257,gpustat,wookayin/gpustat,,gpu-utilities,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43.000000,2021-02-01 09:12:28.000000,2021-01-13 04:00:20.000000,183,20.0,48.0,2228,166.0,A simple command-line utility for querying and monitoring GPU status.,10.0,26,True,2019-07-22 06:37:00.000000,0.6.0,11.0,gpustat,conda-forge/gpustat,,,,691.0,633.0,https://pypi.org/project/gpustat,2021-01-02 05:59:41.000000,58.0,143440.0,144400.0,https://anaconda.org/conda-forge/gpustat,2020-11-24 19:59:04.772000,22095.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n258,GluonNLP,dmlc/gluon-nlp,,nlp,https://github.com/dmlc/gluon-nlp,https://github.com/dmlc/gluon-nlp,Apache-2.0,2018-04-04 20:57:13.000000,2021-02-16 03:12:38.000000,2021-02-10 17:05:38.000000,508,252.0,287.0,2223,820.0,\"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..\",81.0,26,True,2020-08-13 19:17:42.000000,0.10.0,26.0,gluonnlp,,,,['mxnet'],423.0,401.0,https://pypi.org/project/gluonnlp,2020-08-13 19:17:42.000000,22.0,21931.0,21931.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n259,Core ML Tools,apple/coremltools,,model-serialisation,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000000,2021-02-15 01:04:30.000000,2021-02-11 22:02:24.000000,340,330.0,319.0,2115,857.0,\"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.\",108.0,26,True,2021-02-05 02:07:15.000000,4.1,28.0,coremltools,,,,,726.0,460.0,https://pypi.org/project/coremltools,2021-02-05 01:28:44.000000,266.0,27614.0,27674.0,,,,,,,,1.0,2474.0,,,,,,,,,,,,,,,,,,,,,,\n260,Cufflinks,santosjorge/cufflinks,,data-viz,https://github.com/santosjorge/cufflinks,https://github.com/santosjorge/cufflinks,MIT,2014-11-19 20:59:33.000000,2020-10-07 16:12:54.000000,2020-10-07 16:12:53.000000,535,81.0,121.0,2088,450.0,Productivity Tools for Plotly + Pandas.,37.0,26,True,2020-03-01 17:42:01.000000,0.17.3,27.0,cufflinks,,,,['pandas'],2948.0,2714.0,https://pypi.org/project/cufflinks,2020-03-01 17:42:01.000000,234.0,35652.0,35652.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n261,aubio,aubio/aubio,,audio,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44.000000,2021-01-19 16:59:52.641000,2021-01-19 09:51:49.000000,296,105.0,173.0,2049,4111.0,a library for audio and music analysis.,24.0,26,False,2019-02-27 09:00:43.000000,0.4.9,10.0,aubio,conda-forge/aubio,,,,249.0,213.0,https://pypi.org/project/aubio,2019-02-08 11:21:02.000000,36.0,1035.0,9301.0,https://anaconda.org/conda-forge/aubio,2021-01-19 16:59:52.641000,388517.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n262,TextDistance,life4/textdistance,,nlp,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10.000000,2021-01-29 15:41:57.288000,2021-01-29 09:03:55.000000,165,9.0,,1912,304.0,\"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..\",9.0,26,True,2021-01-29 09:04:46.000000,.4.2.1,21.0,textdistance,conda-forge/textdistance,,,,386.0,358.0,https://pypi.org/project/textdistance,2021-01-29 09:03:27.000000,28.0,104421.0,105144.0,https://anaconda.org/conda-forge/textdistance,2021-01-29 15:41:57.288000,23815.0,,,,,2.0,102.0,,,,,,,,,,,,,,,,,,,,,,\n263,BoTorch,pytorch/botorch,,hyperopt,https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000000,2021-02-18 05:48:48.000000,2021-02-18 05:48:43.000000,183,50.0,116.0,1835,832.0,Bayesian optimization in PyTorch.,51.0,26,True,2020-12-08 06:47:25.000000,0.3.3,16.0,botorch,,,,['pytorch'],85.0,85.0,https://pypi.org/project/botorch,2020-12-08 06:47:25.000000,0.0,24488.0,24488.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n264,PyFunctional,EntilZha/PyFunctional,,data-pipelines,https://github.com/EntilZha/PyFunctional,https://github.com/EntilZha/PyFunctional,MIT,2015-02-05 17:17:51.000000,2021-01-12 19:21:06.000000,2021-01-12 19:14:24.000000,99,2.0,115.0,1784,516.0,Python library for creating data pipelines with chain functional programming.,23.0,26,True,2021-01-12 19:21:07.000000,1.4.3,14.0,pyfunctional,,,,,260.0,260.0,https://pypi.org/project/pyfunctional,2021-01-12 19:14:48.000000,0.0,28280.0,28280.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n265,langid,saffsd/langid.py,,nlp,https://github.com/saffsd/langid.py,https://github.com/saffsd/langid.py,BSD-3-Clause,2011-04-29 00:16:56.000000,2020-01-01 10:49:30.000000,2017-07-15 02:49:17.000000,265,25.0,45.0,1727,242.0,Stand-alone language identification system.,9.0,26,False,2016-04-05 22:34:15.000000,1.1.6,8.0,langid,,,,,868.0,618.0,https://pypi.org/project/langid,2016-04-05 22:34:15.000000,250.0,310697.0,310697.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n266,textacy,chartbeat-labs/textacy,,nlp,https://github.com/chartbeat-labs/textacy,https://github.com/chartbeat-labs/textacy,Apache-2.0,2016-02-03 16:52:45.000000,2021-02-09 13:36:10.000000,2021-01-09 19:21:48.000000,214,32.0,194.0,1608,1332.0,\"NLP, before and after spaCy.\",29.0,26,True,2020-08-29 20:51:05.000000,0.10.1,29.0,textacy,conda-forge/textacy,,,,77.0,,https://pypi.org/project/textacy,2020-08-29 20:51:28.000000,77.0,40140.0,41840.0,https://anaconda.org/conda-forge/textacy,2020-11-19 15:32:56.211000,76536.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n267,tesserocr,sirfz/tesserocr,,ocr,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36.000000,2021-01-18 20:15:27.000000,2021-01-18 20:15:13.000000,187,60.0,145.0,1402,155.0,A Python wrapper for the tesseract-ocr API.,23.0,26,True,2020-03-17 17:45:44.000000,2.5.1,15.0,tesserocr,conda-forge/tesserocr,,,,514.0,464.0,https://pypi.org/project/tesserocr,2020-03-17 17:45:44.000000,50.0,29691.0,31879.0,https://anaconda.org/conda-forge/tesserocr,2021-01-13 16:38:14.456000,35013.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n268,hnswlib,nmslib/hnswlib,,nn-search,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000000,2021-02-12 05:16:52.000000,2021-02-04 04:34:33.000000,242,83.0,108.0,1345,275.0,Header-only C++/python library for fast approximate nearest neighbors.,41.0,26,True,2021-02-04 04:55:19.000000,0.5.1,5.0,hnswlib,,,,,99.0,97.0,https://pypi.org/project/hnswlib,2021-02-04 04:55:19.000000,2.0,9367.0,9367.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n269,TFX,tensorflow/tfx,,data-pipelines,https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000000,2021-02-18 10:01:57.000000,2021-02-17 21:46:36.000000,396,231.0,321.0,1322,3144.0,TFX is an end-to-end platform for deploying production ML pipelines.,103.0,26,True,2021-02-09 19:21:30.000000,0.27.0,41.0,tfx,,,,['tensorflow'],4.0,,https://pypi.org/project/tfx,2021-02-09 22:50:27.000000,4.0,60140.0,60140.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n270,agate,wireservice/agate,,others,https://github.com/wireservice/agate,https://github.com/wireservice/agate,MIT,2014-04-25 13:59:09.000000,2020-12-30 20:43:14.000000,2020-04-01 15:40:18.000000,131,54.0,588.0,1029,1355.0,A Python data analysis library that is optimized for humans instead of machines.,47.0,26,True,2018-03-11 14:37:30.000000,1.6.1,24.0,agate,conda-forge/agate,,,,743.0,501.0,https://pypi.org/project/agate,2018-03-11 14:37:30.000000,242.0,156701.0,157956.0,https://anaconda.org/conda-forge/agate,2018-08-19 06:02:58.597000,60254.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n271,TF Model Optimization,tensorflow/model-optimization,,tensorflow-utils,https://github.com/tensorflow/model-optimization,https://github.com/tensorflow/model-optimization,Apache-2.0,2018-10-31 20:34:28.000000,2021-02-17 13:15:29.000000,2021-02-16 13:37:06.000000,217,70.0,90.0,971,481.0,\"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.\",43.0,26,True,2020-09-14 04:46:03.000000,0.5.0,20.0,tensorflow-model-optimization,,,,['tensorflow'],598.0,595.0,https://pypi.org/project/tensorflow-model-optimization,2020-09-14 04:36:08.000000,3.0,39488.0,39488.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n272,Mesh,tensorflow/mesh,,distributed-ml,https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34.000000,2021-02-17 17:32:09.000000,2021-02-05 02:31:14.000000,140,72.0,13.0,848,583.0,Mesh TensorFlow: Model Parallelism Made Easier.,38.0,26,True,2020-12-17 23:10:07.000000,0.1.18,24.0,mesh-tensorflow,,,,['tensorflow'],551.0,495.0,https://pypi.org/project/mesh-tensorflow,2020-12-17 23:10:07.000000,56.0,68621.0,68621.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n273,pmdarima,alkaline-ml/pmdarima,,time-series-data,https://github.com/alkaline-ml/pmdarima,https://github.com/alkaline-ml/pmdarima,MIT,2017-03-30 14:58:30.000000,2021-02-16 08:58:16.000000,2021-02-08 14:12:26.000000,152,17.0,208.0,814,1024.0,\"A statistical library designed to fill the void in Python's time series analysis capabilities, including the..\",16.0,26,True,2020-12-02 23:17:04.000000,1.8.0,28.0,pmdarima,,,,,764.0,752.0,https://pypi.org/project/pmdarima,2020-12-02 23:17:04.000000,12.0,154643.0,154643.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n274,pyclustering,annoviko/pyclustering,,others,https://github.com/annoviko/pyclustering,https://github.com/annoviko/pyclustering,BSD-3-Clause,2014-02-25 18:59:03.000000,2021-02-12 23:22:26.000000,2021-02-12 19:04:59.000000,186,53.0,584.0,791,2079.0,\"pyclustring is a Python, C++ data mining library.\",26.0,26,True,2020-11-25 22:33:07.000000,0.10.1.2,46.0,pyclustering,conda-forge/pyclustering,,,,216.0,180.0,https://pypi.org/project/pyclustering,2020-11-25 22:41:20.000000,36.0,17571.0,18584.0,https://anaconda.org/conda-forge/pyclustering,2021-01-25 21:14:55.053000,14119.0,,,,,2.0,290.0,,,,,,,,,,,,,,,,,,,,,,\n275,TensorFlow Text,tensorflow/text,,nlp,https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000000,2021-02-12 21:26:15.000000,2021-02-12 17:54:48.000000,87,44.0,85.0,692,353.0,Making text a first-class citizen in TensorFlow.,32.0,26,True,2021-01-13 04:36:01.000000,2.4.3,32.0,tensorflow-text,,,,['tensorflow'],480.0,476.0,https://pypi.org/project/tensorflow-text,2021-01-13 04:24:47.000000,4.0,89413.0,89413.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n276,PyVista,pyvista/pyvista,,data-viz,https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000000,2021-02-18 05:57:47.000000,2021-02-18 05:57:43.000000,142,131.0,283.0,692,2118.0,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,55.0,26,True,2021-02-04 05:34:23.000000,0.28.1,37.0,pyvista,conda-forge/pyvista,,,['jupyter'],284.0,258.0,https://pypi.org/project/pyvista,2021-02-04 05:34:23.000000,26.0,9022.0,11946.0,https://anaconda.org/conda-forge/pyvista,2021-02-04 15:46:30.334000,61398.0,,,,,2.0,57.0,,,,,,,,,,,,,,,,,,,,,,\n277,zarr,zarr-developers/zarr-python,,data-containers,https://github.com/zarr-developers/zarr-python,https://github.com/zarr-developers/zarr-python,MIT,2015-12-15 14:49:40.000000,2021-02-18 10:05:09.000000,2021-02-18 10:05:09.000000,107,179.0,228.0,641,1381.0,\"An implementation of chunked, compressed, N-dimensional arrays for Python.\",35.0,26,True,2020-12-02 18:33:13.000000,2.6.1,31.0,zarr,conda-forge/zarr,,,,634.0,562.0,https://pypi.org/project/zarr,2020-12-02 18:33:13.000000,72.0,34879.0,44933.0,https://anaconda.org/conda-forge/zarr,2020-12-03 02:31:13.848000,573085.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n278,geojson,jazzband/geojson,,geospatial-data,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48.000000,2020-11-25 21:55:02.000000,2020-11-25 19:10:27.000000,81,20.0,50.0,596,445.0,Python bindings and utilities for GeoJSON.,44.0,26,True,2019-08-09 20:32:15.000000,2.5.0,28.0,geojson,conda-forge/geojson,,,,7661.0,5827.0,https://pypi.org/project/geojson,2019-08-09 20:32:15.000000,1834.0,293506.0,299790.0,https://anaconda.org/conda-forge/geojson,2019-08-11 12:10:34.426000,370810.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n279,tabulator-py,frictionlessdata/tabulator-py,,data-loading,https://github.com/frictionlessdata/tabulator-py,https://github.com/frictionlessdata/tabulator-py,MIT,2015-08-24 05:34:38.000000,2021-02-11 06:16:42.000000,2021-02-11 06:16:38.000000,40,,177.0,202,649.0,Python library for reading and writing tabular data via streams.,24.0,26,True,2021-02-11 06:16:57.000000,1.53.2,138.0,tabulator,conda-forge/tabulator-py,,,,574.0,470.0,https://pypi.org/project/tabulator,2020-11-30 09:29:14.000000,104.0,61905.0,62774.0,https://anaconda.org/conda-forge/tabulator-py,2018-07-24 12:57:07.018000,38275.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n280,spleeter,deezer/spleeter,,audio,https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000000,2021-02-17 00:41:46.000000,2021-02-12 20:10:09.000000,1595,92.0,436.0,15605,440.0,Deezer source separation library including pretrained models.,17.0,25,True,2021-01-08 18:22:28.000000,2.1.2,30.0,spleeter,conda-forge/spleeter,,,['tensorflow'],0.0,,https://pypi.org/project/spleeter,2021-01-08 18:22:28.000000,0.0,3514.0,64872.0,https://anaconda.org/conda-forge/spleeter,2020-06-30 14:33:43.220000,43275.0,,,,,2.0,935569.0,,,,,,,,,,,,,,,,,,,,,,\n281,MMDetection,open-mmlab/mmdetection,,image,https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000000,2021-02-18 14:22:28.000000,2021-02-18 07:31:06.000000,4687,349.0,3060.0,13635,1438.0,OpenMMLab Detection Toolbox and Benchmark.,190.0,25,True,2021-02-01 05:52:50.000000,2.9.0,9.0,,,,,['pytorch'],26.0,26.0,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n282,Ludwig,ludwig-ai/ludwig,,ml-frameworks,https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000000,2021-02-14 21:08:50.000000,2021-02-09 14:25:53.000000,887,116.0,410.0,7552,2059.0,Ludwig is a toolbox that allows to train and evaluate deep learning models without the need to write code.,86.0,25,True,2021-02-01 00:23:30.000000,0.3.3,17.0,ludwig,,,,['tensorflow'],91.0,79.0,https://pypi.org/project/ludwig,2021-02-01 00:16:18.000000,12.0,835.0,835.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n283,ParlAI,facebookresearch/ParlAI,,nlp,https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44.000000,2021-02-17 22:13:59.000000,2021-02-12 13:56:46.000000,1439,90.0,847.0,6983,3625.0,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,141.0,25,True,2021-01-19 19:10:47.000000,1.0.0,13.0,parlai,,,,['pytorch'],10.0,10.0,https://pypi.org/project/parlai,2021-01-19 19:10:47.000000,,884.0,884.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n284,Facets Overview,pair-code/facets,,data-viz,https://github.com/PAIR-code/facets,https://github.com/PAIR-code/facets,Apache-2.0,2017-07-07 14:03:03.000000,2021-02-04 17:22:42.000000,2021-02-04 17:22:41.000000,834,76.0,75.0,6500,262.0,Visualizations for machine learning datasets.,28.0,25,True,2019-07-24 15:57:06.000000,1.0.0,4.0,facets-overview,,,,['jupyter'],45.0,39.0,https://pypi.org/project/facets-overview,2019-07-24 15:57:06.000000,6.0,22912.0,22912.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n285,PyText,facebookresearch/pytext,,nlp,https://github.com/facebookresearch/pytext,https://github.com/facebookresearch/pytext,BSD-3-Clause,2018-07-31 23:40:46.000000,2021-02-18 10:07:04.000000,2021-02-18 10:06:55.000000,784,133.0,74.0,6131,1413.0,A natural language modeling framework based on PyTorch.,158.0,25,True,2020-06-08 23:30:58.000000,0.3.3,12.0,pytext-nlp,,,,['pytorch'],66.0,65.0,https://pypi.org/project/pytext-nlp,2020-04-27 08:09:25.000000,1.0,235.0,243.0,,,,,,,,2.0,222.0,,,,,,,,,,,,,,,,,,,,,,\n286,Trax,google/trax,,others,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000000,2021-02-18 04:40:39.000000,2021-02-17 23:17:16.000000,539,60.0,102.0,5761,1337.0,Trax Deep Learning with Clear Code and Speed.,57.0,25,True,2020-12-18 17:22:13.000000,1.3.7,20.0,trax,,,,,22.0,22.0,https://pypi.org/project/trax,2020-12-18 17:22:13.000000,,1957.0,1957.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n287,Milvus,milvus-io/milvus,,nn-search,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000000,2021-02-18 10:31:14.000000,2021-02-09 09:25:15.000000,792,218.0,1901.0,5094,5570.0,\"An open source embedding vector similarity search engine powered by Faiss, NMSLIB and Annoy.\",136.0,25,True,2021-01-21 05:32:04.000000,0.4.0,44.0,pymilvus,,milvusdb/milvus,,,6.0,,https://pypi.org/project/pymilvus,2021-01-21 05:32:04.000000,6.0,4348.0,18960.0,,,,https://hub.docker.com/r/milvusdb/milvus,2021-01-06 06:23:42.478311,9.0,248415.0,2.0,,,,,,,,,,,,,,,,,,,,,,,\n288,PyTorch3D,facebookresearch/pytorch3d,,image,https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,MIT,2019-10-25 02:23:45.000000,2021-02-12 15:06:05.000000,2021-02-12 15:05:55.000000,490,60.0,426.0,4328,392.0,PyTorch3D is FAIR's library of reusable components for deep learning with 3D data.,54.0,25,True,2021-02-09 23:13:45.000000,0.4.0,7.0,pytorch3d,pytorch3d/pytorch3d,,,['pytorch'],49.0,49.0,https://pypi.org/project/pytorch3d,2021-02-09 23:13:45.000000,0.0,3400.0,3862.0,https://anaconda.org/pytorch3d/pytorch3d,2021-02-09 22:34:07.773000,6932.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n289,Metaflow,Netflix/metaflow,,ml-experiments,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000000,2021-02-17 05:22:08.000000,2021-02-17 05:22:08.000000,324,118.0,143.0,4062,189.0,Build and manage real-life data science projects with ease.,29.0,25,True,2021-02-09 01:25:56.000000,2.2.7,17.0,metaflow,conda-forge/metaflow,,,,108.0,106.0,https://pypi.org/project/metaflow,2021-02-09 01:25:56.000000,2.0,4930.0,5745.0,https://anaconda.org/conda-forge/metaflow,2021-02-09 03:50:36.131000,11420.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n290,BigDL,intel-analytics/BigDL,,distributed-ml,https://github.com/intel-analytics/BigDL,https://github.com/intel-analytics/BigDL,Apache-2.0,2016-08-29 07:59:50.000000,2021-01-21 17:42:35.000000,2021-01-21 17:42:34.000000,904,182.0,727.0,3703,2659.0,BigDL: Distributed Deep Learning Framework for Apache Spark.,70.0,25,True,2021-01-05 05:55:32.000000,0.12.1,37.0,bigdl,,,,,29.0,23.0,https://pypi.org/project/bigdl,2020-12-29 06:08:45.000000,6.0,1770.0,1770.0,,,,,,,,2.0,,,,,,,,,,,,,,,com.intel.analytics.bigdl:bigdl-SPARK_2.4,https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4,2020-12-05 03:54:47.000000,0.0,,,,,\n291,pyfolio,quantopian/pyfolio,,financial-data,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39.000000,2020-07-29 16:06:37.000000,2020-07-15 13:46:58.000000,1078,124.0,263.0,3494,1184.0,Portfolio and risk analytics in Python.,55.0,25,True,2019-04-15 14:54:03.000000,0.9.1,21.0,pyfolio,conda-forge/pyfolio,,,,256.0,202.0,https://pypi.org/project/pyfolio,2019-04-15 14:54:03.000000,54.0,4529.0,4685.0,https://anaconda.org/conda-forge/pyfolio,2020-05-16 14:11:57.267000,5619.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n292,yellowbrick,DistrictDataLabs/yellowbrick,,interpretability,https://github.com/DistrictDataLabs/yellowbrick,https://github.com/DistrictDataLabs/yellowbrick,Apache-2.0,2016-05-18 14:12:17.000000,2021-02-13 20:53:54.000000,2021-02-13 20:53:07.000000,478,89.0,518.0,3103,848.0,Visual analysis and diagnostic tools to facilitate machine learning model selection.,97.0,25,True,2021-02-13 20:31:18.000000,1.3.post1,22.0,yellowbrick,,,,['sklearn'],62.0,,https://pypi.org/project/yellowbrick,2021-02-13 20:42:26.000000,62.0,39087.0,39087.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n293,TensorForce,tensorforce/tensorforce,,reinforcement-learning,https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22.000000,2021-02-08 19:49:13.000000,2021-02-08 19:48:19.000000,489,6.0,542.0,2873,2017.0,Tensorforce: a TensorFlow library for applied reinforcement learning.,76.0,25,True,2020-10-03 16:00:39.000000,0.6.2,12.0,tensorforce,,,,['tensorflow'],46.0,,https://pypi.org/project/tensorforce,2019-09-07 13:56:18.000000,46.0,587.0,587.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n294,Chartify,spotify/chartify,,data-viz,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05.000000,2021-02-05 18:49:02.000000,2021-02-05 18:49:02.000000,249,40.0,30.0,2835,195.0,Python library that makes it easy for data scientists to create charts.,21.0,25,True,2020-11-02 22:14:08.000000,3.0.3,16.0,chartify,conda-forge/chartify,,,,57.0,52.0,https://pypi.org/project/chartify,2020-11-02 22:14:08.000000,5.0,2169.0,2619.0,https://anaconda.org/conda-forge/chartify,2020-11-07 19:52:50.628000,12153.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n295,vaderSentiment,cjhutto/vaderSentiment,,nlp,https://github.com/cjhutto/vaderSentiment,https://github.com/cjhutto/vaderSentiment,MIT,2014-11-17 16:31:45.000000,2020-07-17 19:47:37.000000,2020-05-22 15:33:43.000000,736,30.0,74.0,2823,122.0,VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based..,10.0,25,True,2020-05-22 15:07:00.000000,3.3.2,15.0,vadersentiment,,,,,2587.0,2301.0,https://pypi.org/project/vadersentiment,2020-05-22 15:07:00.000000,286.0,62997.0,62997.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n296,DeepChem,deepchem/deepchem,,others,https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000000,2021-02-18 14:46:54.000000,2021-02-15 19:56:16.000000,919,347.0,853.0,2743,6153.0,\"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.\",147.0,25,True,2021-01-13 21:21:38.000000,2.4.0,209.0,deepchem,,,,['tensorflow'],40.0,36.0,https://pypi.org/project/deepchem,2021-02-15 19:58:48.000000,4.0,1186.0,1186.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n297,Neural Network Libraries,sony/nnabla,,ml-frameworks,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10.000000,2021-02-17 02:02:15.000000,2021-02-17 02:02:15.000000,301,36.0,23.0,2409,2434.0,Neural Network Libraries.,57.0,25,True,2021-01-30 03:35:55.000000,1.16.0,52.0,nnabla,,,,,34.0,,https://pypi.org/project/nnabla,2021-01-29 14:09:09.000000,34.0,1242.0,1254.0,,,,,,,,3.0,521.0,,,,,,,,,,,,,,,,,,,,,,\n298,Captum,pytorch/captum,,interpretability,https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000000,2021-02-18 02:04:47.000000,2021-02-18 02:04:40.000000,216,51.0,156.0,2147,792.0,Model interpretability and understanding for PyTorch.,69.0,25,True,2021-01-23 18:11:12.000000,0.3.1,5.0,captum,,,,['pytorch'],121.0,121.0,https://pypi.org/project/captum,2021-01-22 20:55:47.000000,0.0,7734.0,7734.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n299,spark-nlp,JohnSnowLabs/spark-nlp,,nlp,https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000000,2021-02-18 14:22:48.000000,2021-02-18 12:45:55.000000,414,74.0,346.0,1948,6869.0,State of the Art Natural Language Processing.,77.0,25,True,2021-02-05 19:03:56.000000,2.7.3,74.0,spark-nlp,,,,['spark'],0.0,,https://pypi.org/project/spark-nlp,2021-01-25 10:58:44.000000,0.0,277735.0,277735.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n300,Foolbox,bethgelab/foolbox,,adversarial,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48.000000,2021-02-11 23:23:30.000000,2021-02-10 08:49:36.000000,320,44.0,263.0,1789,1638.0,\"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.\",30.0,25,True,2021-02-10 08:53:50.000000,3.3.0,67.0,foolbox,,,,,187.0,169.0,https://pypi.org/project/foolbox,2021-02-10 08:54:33.000000,18.0,984.0,984.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n301,StellarGraph,stellargraph/stellargraph,,graph,https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51.000000,2021-02-18 04:09:21.000000,2021-02-18 01:03:15.000000,256,211.0,704.0,1764,2515.0,StellarGraph - Machine Learning on Graphs.,32.0,25,True,2020-06-30 05:15:21.000000,1.2.1,25.0,stellargraph,,,,['tensorflow'],47.0,45.0,https://pypi.org/project/stellargraph,2020-06-25 09:38:56.000000,2.0,2623.0,2623.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n302,efficientnet,qubvel/efficientnet,,tensorflow-utils,https://github.com/qubvel/efficientnet,https://github.com/qubvel/efficientnet,Apache-2.0,2019-05-30 20:21:09.000000,2020-12-10 07:02:58.000000,2020-09-15 16:19:36.000000,379,49.0,55.0,1706,64.0,Implementation of EfficientNet model. Keras and TensorFlow Keras.,8.0,25,True,2020-09-15 16:26:00.000000,1.1.1,9.0,efficientnet,,,,['tensorflow'],514.0,510.0,https://pypi.org/project/efficientnet,2020-09-15 16:26:00.000000,4.0,42021.0,49406.0,,,,,,,,3.0,155087.0,,,,,,,,,,,,,,,,,,,,,,\n303,pgmpy,pgmpy/pgmpy,,probabilistics,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000000,2021-02-02 14:05:26.000000,2021-02-02 14:05:24.000000,556,224.0,495.0,1704,6.0,Python Library for learning (Structure and Parameter) and inference (Statistical and Causal) in Bayesian Networks.,89.0,25,True,2020-12-30 13:56:53.000000,0.1.13,12.0,pgmpy,,,,,197.0,185.0,https://pypi.org/project/pgmpy,2020-12-30 13:01:04.000000,12.0,16531.0,16537.0,,,,,,,,3.0,54.0,,,,,,,,,,,,,,,,,,,,,,\n304,pytorch-optimizer,jettify/pytorch-optimizer,,pytorch-utils,https://github.com/jettify/pytorch-optimizer,https://github.com/jettify/pytorch-optimizer,Apache-2.0,2020-01-03 03:16:39.000000,2021-02-17 10:44:31.000000,2021-02-17 10:43:20.000000,158,9.0,25.0,1695,350.0,torch-optimizer -- collection of optimizers for Pytorch.,19.0,25,True,2021-01-01 16:51:15.000000,0.1.0,19.0,torch_optimizer,,,,['pytorch'],128.0,128.0,https://pypi.org/project/torch_optimizer,2021-01-01 16:51:15.000000,0.0,10043.0,10043.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n305,HyperTools,ContextLab/hypertools,,data-viz,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25.000000,2021-01-06 14:11:39.000000,2021-01-06 14:11:38.000000,151,69.0,122.0,1613,1591.0,A Python toolbox for gaining geometric insights into high-dimensional data.,21.0,25,True,2020-10-02 21:41:53.000000,0.6.3,19.0,hypertools,,,,,112.0,103.0,https://pypi.org/project/hypertools,2020-10-02 21:41:53.000000,9.0,170.0,170.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n306,swifter,jmcarpenter2/swifter,,data-containers,https://github.com/jmcarpenter2/swifter,https://github.com/jmcarpenter2/swifter,MIT,2018-04-07 21:37:19.000000,2020-12-19 19:11:45.000000,2020-12-19 19:11:44.000000,70,15.0,76.0,1543,423.0,A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner.,14.0,25,True,2020-10-11 22:42:57.000000,1.0.7,71.0,swifter,conda-forge/swifter,,,['pandas'],301.0,285.0,https://pypi.org/project/swifter,2020-10-11 22:42:57.000000,16.0,31090.0,34661.0,https://anaconda.org/conda-forge/swifter,2020-09-20 15:08:56.885000,78582.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n307,Pythran,serge-sans-paille/pythran,,others,https://github.com/serge-sans-paille/pythran,https://github.com/serge-sans-paille/pythran,BSD-3-Clause,2012-05-29 08:02:14.000000,2021-02-17 22:33:59.000000,2021-02-17 22:33:59.000000,134,99.0,547.0,1502,3324.0,Ahead of Time compiler for numeric kernels.,48.0,25,True,2020-12-09 20:06:55.000000,0.9.8,44.0,pythran,conda-forge/pythran,,,,61.0,48.0,https://pypi.org/project/pythran,2020-12-11 23:02:35.000000,13.0,3580.0,7458.0,https://anaconda.org/conda-forge/pythran,2021-01-27 16:08:46.611000,128003.0,,,,,2.0,,,,,,,,,,,,,,,,,,,pythran,python-pythran,,,\n308,chainercv,chainer/chainercv,,image,https://github.com/chainer/chainercv,https://github.com/chainer/chainercv,MIT,2017-02-13 04:15:10.000000,2020-02-03 01:27:17.000000,2020-01-07 11:48:31.000000,318,54.0,168.0,1428,4930.0,ChainerCV: a Library for Deep Learning in Computer Vision.,39.0,25,False,2019-06-12 11:55:02.000000,0.13.1,24.0,chainercv,,,,,285.0,225.0,https://pypi.org/project/chainercv,2019-06-12 11:55:40.000000,60.0,3488.0,3488.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n309,streamparse,Parsely/streamparse,,data-pipelines,https://github.com/Parsely/streamparse,https://github.com/Parsely/streamparse,Apache-2.0,2014-05-02 20:33:50.000000,2020-12-18 18:44:04.000000,2020-12-18 18:43:59.000000,219,69.0,263.0,1426,1059.0,\"Run Python in Apache Storm topologies. Pythonic API, CLI tooling, and a topology DSL.\",40.0,25,True,2020-10-07 19:53:15.000000,4.0.0,47.0,streamparse,,,,,73.0,47.0,https://pypi.org/project/streamparse,2020-10-07 19:45:19.000000,26.0,1579.0,1579.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n310,Ax,facebook/Ax,,hyperopt,https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000000,2021-02-18 05:48:21.000000,2021-02-17 03:56:14.000000,143,44.0,188.0,1404,926.0,Adaptive Experimentation Platform.,92.0,25,True,2020-12-08 19:07:48.000000,0.1.19,20.0,ax-platform,,,,['pytorch'],141.0,137.0,https://pypi.org/project/ax-platform,2020-12-08 19:07:48.000000,4.0,15487.0,15487.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n311,jellyfish,jamesturk/jellyfish,,nlp,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,BSD-2-Clause,2010-07-09 20:41:11.000000,2021-02-16 23:37:55.000000,2020-12-30 16:47:13.000000,124,9.0,86.0,1403,,a python library for doing approximate and phonetic matching of strings.,20.0,25,True,2020-05-21 20:37:01.000000,0.8.2,27.0,jellyfish,conda-forge/jellyfish,,,,2763.0,2117.0,https://pypi.org/project/jellyfish,2020-05-21 20:37:01.000000,646.0,600456.0,602553.0,https://anaconda.org/conda-forge/jellyfish,2021-01-08 15:04:47.681000,111169.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n312,haystack,deepset-ai/haystack,,nlp,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000000,2021-02-18 15:21:47.000000,2021-02-18 11:00:49.000000,257,60.0,411.0,1403,549.0,End-to-End Framework for building natural language search interfaces to data by utilizing Transformers and the State-..,34.0,25,True,2021-01-21 17:42:17.000000,0.7.0,34.0,haystack,,,,,200.0,34.0,https://pypi.org/project/haystack,2017-07-03 04:44:52.000000,166.0,565.0,565.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n313,dtreeviz,parrt/dtreeviz,,interpretability,https://github.com/parrt/dtreeviz,https://github.com/parrt/dtreeviz,MIT,2018-08-13 21:45:15.000000,2021-02-13 21:28:43.000000,2021-02-05 19:12:55.000000,186,15.0,71.0,1389,327.0,A python library for decision tree visualization and model interpretation.,15.0,25,True,2021-01-27 00:33:05.000000,1.1.4,21.0,dtreeviz,,,,,113.0,109.0,https://pypi.org/project/dtreeviz,2021-01-27 00:31:39.000000,4.0,11090.0,11090.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n314,ViZDoom,mwydmuch/ViZDoom,,reinforcement-learning,https://github.com/mwydmuch/ViZDoom,https://github.com/mwydmuch/ViZDoom,MIT,2015-06-26 18:38:23.000000,2021-02-09 10:35:01.000000,2021-02-09 10:35:01.000000,298,87.0,329.0,1167,1464.0,Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information.,44.0,25,True,2020-10-29 15:54:47.000000,1.1.8,19.0,vizdoom,,,,,120.0,108.0,https://pypi.org/project/vizdoom,2020-10-29 15:56:20.000000,12.0,369.0,548.0,,,,,,,,2.0,10571.0,,,,,,,,,,,,,,,,,,,,,,\n315,ArcGIS API,Esri/arcgis-python-api,,geospatial-data,https://github.com/Esri/arcgis-python-api,https://github.com/Esri/arcgis-python-api,Apache-2.0,2016-03-16 01:09:14.000000,2021-02-18 07:47:27.000000,2021-01-26 04:34:34.000000,705,109.0,202.0,968,3011.0,Documentation and samples for ArcGIS API for Python.,61.0,25,True,2021-01-27 23:12:21.000000,1.8.4,26.0,arcgis,,esridocker/arcgis-api-python-notebook,,,20.0,,https://pypi.org/project/arcgis,2021-01-27 23:04:37.000000,20.0,11442.0,11510.0,,,,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,2020-03-06 00:53:45.164342,29.0,4056.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n316,arviz,arviz-devs/arviz,,interpretability,https://github.com/arviz-devs/arviz,https://github.com/arviz-devs/arviz,Apache-2.0,2015-07-29 11:51:10.000000,2021-02-18 13:11:31.000000,2021-02-18 12:38:54.000000,184,119.0,423.0,947,,Exploratory analysis of Bayesian models with Python.,71.0,25,True,2021-02-06 17:00:36.000000,0.11.1,22.0,arviz,conda-forge/arviz,,,,751.0,715.0,https://pypi.org/project/arviz,2021-02-06 17:00:36.000000,36.0,85655.0,94859.0,https://anaconda.org/conda-forge/arviz,2021-02-06 19:55:55.564000,193221.0,,,,,2.0,98.0,,,,,,,,,,,,,,,,,,,,,,\n317,bcolz,Blosc/bcolz,,data-containers,https://github.com/Blosc/bcolz,https://github.com/Blosc/bcolz,BSD-3-Clause,2010-08-18 15:27:02.000000,2020-09-10 12:12:51.000000,2020-09-10 12:12:45.000000,115,126.0,121.0,912,1280.0,A columnar data container that can be compressed.,33.0,25,True,2018-04-13 07:44:26.000000,1.2.1,23.0,bcolz,conda-forge/bcolz,,,,2482.0,1514.0,https://pypi.org/project/bcolz,2018-04-13 07:44:26.000000,968.0,12609.0,17114.0,https://anaconda.org/conda-forge/bcolz,2019-11-05 21:09:48.045000,216274.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n318,PySAL,pysal/pysal,,geospatial-data,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42.000000,2021-02-08 21:30:44.240000,2021-02-01 00:35:48.000000,241,58.0,583.0,821,4119.0,PySAL: Python Spatial Analysis Library Meta-Package.,71.0,25,True,2021-02-01 00:43:02.000000,2.4.0,25.0,pysal,conda-forge/pysal,,,,36.0,,https://pypi.org/project/pysal,2021-02-02 02:59:42.000000,36.0,7775.0,15037.0,https://anaconda.org/conda-forge/pysal,2021-02-08 21:30:44.240000,399417.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n319,kmodes,nicodv/kmodes,,others,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40.000000,2021-02-13 03:26:34.000000,2021-02-13 03:21:38.000000,340,19.0,109.0,809,456.0,\"Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data.\",17.0,25,True,2021-02-13 03:34:23.000000,0.11.0,13.0,kmodes,,,,,470.0,444.0,https://pypi.org/project/kmodes,2021-02-13 03:26:34.000000,26.0,38215.0,38215.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n320,empyrical,quantopian/empyrical,,financial-data,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52.000000,2020-10-14 13:28:13.625000,2020-10-14 13:22:39.000000,231,27.0,26.0,721,167.0,Common financial risk and performance metrics. Used by zipline and pyfolio.,22.0,25,True,2020-10-13 21:29:19.000000,0.5.5,21.0,empyrical,conda-forge/empyrical,,,,743.0,521.0,https://pypi.org/project/empyrical,2020-10-13 21:29:19.000000,222.0,14170.0,14436.0,https://anaconda.org/conda-forge/empyrical,2020-10-14 13:28:13.625000,9601.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n321,Satpy,pytroll/satpy,,geospatial-data,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000000,2021-02-18 12:11:23.000000,2021-02-16 22:56:26.000000,193,305.0,299.0,674,8246.0,Python package for earth-observing satellite data processing.,103.0,25,False,2021-01-07 03:03:07.000000,0.25.1,63.0,satpy,conda-forge/satpy,,,,45.0,39.0,https://pypi.org/project/satpy,2021-01-07 03:03:07.000000,6.0,263.0,1993.0,https://anaconda.org/conda-forge/satpy,2021-01-07 15:09:16.887000,53656.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n322,mahotas,luispedro/mahotas,,image,https://github.com/luispedro/mahotas,https://github.com/luispedro/mahotas,MIT,2010-01-31 00:13:06.000000,2021-01-22 05:47:20.379000,2021-01-13 11:55:02.000000,132,16.0,57.0,668,1276.0,Computer Vision in Python.,30.0,25,True,2020-08-16 17:22:48.000000,1.4.11,57.0,mahotas,conda-forge/mahotas,,,,764.0,574.0,https://pypi.org/project/mahotas,2020-08-16 17:22:48.000000,190.0,11680.0,16020.0,https://anaconda.org/conda-forge/mahotas,2021-01-22 05:47:20.379000,256097.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n323,arch,bashtage/arch,,financial-data,https://github.com/bashtage/arch,https://github.com/bashtage/arch,NCSA,2014-08-29 15:41:28.000000,2021-02-16 10:05:01.000000,2021-02-08 22:50:53.000000,158,16.0,126.0,642,767.0,ARCH models in Python.,26.0,25,False,2021-02-08 23:12:20.000000,4.16.1,29.0,arch,,,,,290.0,248.0,https://pypi.org/project/arch,2021-02-08 23:12:20.000000,42.0,18068.0,18068.0,,,,,,,,2.0,,2.0,,,,,,,,,,,,,,,,,,,,,\n324,pyahocorasick,WojciechMula/pyahocorasick,,nlp,https://github.com/WojciechMula/pyahocorasick,https://github.com/WojciechMula/pyahocorasick,BSD-3-Clause,2013-05-30 19:55:46.000000,2021-01-26 17:43:38.000000,2021-01-26 17:43:28.000000,88,32.0,66.0,579,410.0,Python module (C extension and plain python) implementing Aho-Corasick algorithm.,20.0,25,True,2021-01-26 17:38:47.000000,1.4.1,23.0,pyahocorasick,conda-forge/pyahocorasick,,,,606.0,502.0,https://pypi.org/project/pyahocorasick,2021-01-26 17:38:47.000000,104.0,102881.0,105788.0,https://anaconda.org/conda-forge/pyahocorasick,2020-10-13 12:20:05.350000,110491.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n325,SMAC3,automl/SMAC3,,hyperopt,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-3-Clause,2016-08-17 10:58:05.000000,2021-01-27 16:18:49.000000,2020-10-29 10:14:55.000000,153,76.0,250.0,560,1888.0,Sequential Model-based Algorithm Configuration.,30.0,25,True,2020-10-29 10:57:56.000000,0.13.1,29.0,smac,,,,,58.0,,https://pypi.org/project/smac,2020-10-29 10:57:56.000000,58.0,6744.0,6744.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n326,Intake,intake/intake,,data-loading,https://github.com/intake/intake,https://github.com/intake/intake,BSD-2-Clause,2017-08-14 20:44:22.000000,2021-02-17 21:57:59.000000,2021-02-17 21:57:59.000000,93,76.0,192.0,526,1640.0,\"Intake is a lightweight package for finding, investigating, loading and disseminating data.\",54.0,25,True,2021-02-17 16:43:52.000000,0.6.1,20.0,intake,conda-forge/intake,,,,306.0,232.0,https://pypi.org/project/intake,2021-02-17 16:43:52.000000,74.0,2262.0,4513.0,https://anaconda.org/conda-forge/intake,2021-02-17 18:41:59.119000,60798.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n327,TensorFlow I/O,tensorflow/io,,tensorflow-utils,https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05.000000,2021-02-15 02:07:12.000000,2021-02-13 21:39:38.000000,148,112.0,276.0,415,1368.0,\"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.\",72.0,25,True,2020-12-15 00:45:37.000000,0.17.0,21.0,tensorflow-io,,,,['tensorflow'],113.0,113.0,https://pypi.org/project/tensorflow-io,2020-12-15 00:42:35.000000,0.0,27618.0,27618.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n328,mpi4py,mpi4py/mpi4py,,distributed-ml,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-3-Clause,2013-09-05 14:44:25.000000,2021-02-04 12:14:17.000000,2021-02-04 12:02:09.000000,61,3.0,7.0,384,2219.0,Python bindings for MPI.,13.0,25,True,2020-07-27 06:40:19.000000,3.0.3,13.0,mpi4py,conda-forge/mpi4py,,,,752.0,,https://pypi.org/project/mpi4py,2019-11-04 13:05:10.000000,752.0,127023.0,137270.0,https://anaconda.org/conda-forge/mpi4py,2021-01-19 17:48:43.682000,536780.0,,,,,2.0,842.0,,,,,,,,,,,,,,,,,,,,,,\n329,PyNNDescent,lmcinnes/pynndescent,,nn-search,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000000,2021-02-17 22:03:55.000000,2021-02-12 18:06:24.000000,48,30.0,30.0,370,483.0,A Python nearest neighbor descent for approximate nearest neighbors.,12.0,25,True,2021-02-08 20:03:04.000000,0.5.2,21.0,pynndescent,conda-forge/pynndescent,,,,223.0,217.0,https://pypi.org/project/pynndescent,2021-02-08 20:03:04.000000,6.0,65020.0,67191.0,https://anaconda.org/conda-forge/pynndescent,2021-02-09 04:30:06.804000,43435.0,,,,,2.0,,2.0,,,,,,,,,,,,,,,,,,,,,\n330,python-soundfile,bastibe/python-soundfile,,audio,https://github.com/bastibe/python-soundfile,https://github.com/bastibe/python-soundfile,BSD-3-Clause,2013-08-27 13:36:52.000000,2021-01-13 07:52:51.000000,2020-12-01 18:42:47.000000,42,57.0,87.0,366,493.0,\"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.\",19.0,25,True,2019-12-04 10:03:39.000000,0.10.3post1,7.0,soundfile,,,,,6387.0,5647.0,https://pypi.org/project/soundfile,2018-04-19 07:13:19.000000,740.0,247064.0,247089.0,,,,,,,,2.0,2157.0,,,,,,,,,,,,,,,,,,,,,,\n331,hvPlot,holoviz/hvplot,,data-viz,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000000,2021-02-05 05:30:56.000000,2021-01-17 16:07:25.000000,49,107.0,223.0,349,367.0,\"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.\",22.0,25,True,2020-12-16 22:59:26.000000,0.7.0,10.0,hvplot,conda-forge/hvplot,,,,499.0,469.0,https://pypi.org/project/hvplot,2020-11-18 19:40:23.000000,30.0,23413.0,25617.0,https://anaconda.org/conda-forge/hvplot,2021-01-06 23:26:19.353000,66121.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n332,DeepSpeech,mozilla/DeepSpeech,,audio,https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53.000000,2021-02-02 16:20:03.000000,,3058,98.0,,16482,,\"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..\",93.0,24,True,2020-12-10 17:22:09.000000,0.9.3,100.0,deepspeech,,,,['tensorflow'],29.0,,https://pypi.org/project/deepspeech,2020-12-19 10:05:12.000000,29.0,6055.0,6055.0,,,,,,,,3.0,,-7.0,,,,,,,,,,,,,,,,,,,,,\n333,NuPIC,numenta/nupic,,ml-frameworks,https://github.com/numenta/nupic,https://github.com/numenta/nupic,AGPL-3.0,2013-04-05 23:14:27.000000,2020-12-11 19:56:36.000000,2019-10-23 20:45:07.000000,1585,456.0,1337.0,6191,6625.0,\"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..\",120.0,24,False,2018-06-01 15:37:54.000000,1.0.5,53.0,nupic,,,,,133.0,95.0,https://pypi.org/project/nupic,2018-06-01 15:37:54.000000,38.0,924.0,924.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n334,keras-rl,keras-rl/keras-rl,,reinforcement-learning,https://github.com/keras-rl/keras-rl,https://github.com/keras-rl/keras-rl,MIT,2016-07-02 15:53:12.000000,2020-11-20 07:32:13.000000,2019-11-11 22:14:54.000000,1284,39.0,211.0,4955,308.0,Deep Reinforcement Learning for Keras.,40.0,24,False,2018-06-01 07:52:24.000000,0.4.2,8.0,keras-rl,,,,['tensorflow'],562.0,460.0,https://pypi.org/project/keras-rl,2018-06-01 07:52:24.000000,102.0,746.0,746.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n335,Edward,blei-lab/edward,,probabilistics,https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05.000000,2019-10-22 20:30:48.000000,2018-07-25 01:28:08.000000,767,212.0,327.0,4603,1796.0,\"A probabilistic programming language in TensorFlow. Deep generative models, variational inference.\",87.0,24,False,2018-01-22 06:03:37.000000,1.3.5,28.0,edward,,,,['tensorflow'],287.0,209.0,https://pypi.org/project/edward,2018-01-22 06:03:05.000000,78.0,557.0,557.0,,,,,,,,3.0,10.0,,,,,,,,,,,,,,,,,,,,,,\n336,DeepSpeed,microsoft/DeepSpeed,,distributed-ml,https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,MIT,2020-01-23 18:35:18.000000,2021-02-18 09:52:20.000000,2021-02-18 07:20:05.000000,408,154.0,172.0,4342,433.0,\"DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.\",45.0,24,True,2021-02-02 18:36:29.000000,0.3.11,19.0,deepspeed,,deepspeed/deepspeed,,['pytorch'],10.0,10.0,https://pypi.org/project/deepspeed,2021-02-02 18:36:29.000000,,2084.0,2639.0,,,,https://hub.docker.com/r/deepspeed/deepspeed,2021-02-11 20:49:25.184287,2.0,7224.0,2.0,,,,,,,,,,,,,,,,,,,,,,,\n337,Augmentor,mdbloice/Augmentor,,image,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55.000000,2020-11-10 05:20:01.000000,2020-03-09 11:32:02.000000,779,115.0,67.0,4313,511.0,Image augmentation library in Python for machine learning.,22.0,24,True,2020-01-17 11:59:53.000000,0.2.8,20.0,Augmentor,,,,,321.0,279.0,https://pypi.org/project/Augmentor,2020-01-17 11:59:53.000000,42.0,5171.0,5171.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n338,Lucid,tensorflow/lucid,,interpretability,https://github.com/tensorflow/lucid,https://github.com/tensorflow/lucid,Apache-2.0,2018-01-25 17:41:44.000000,2021-01-26 21:54:54.000000,2021-01-26 21:54:53.000000,556,67.0,94.0,4066,636.0,A collection of infrastructure and tools for research in neural network interpretability.,35.0,24,True,2019-01-17 19:46:43.000000,0.3.9-alpha,16.0,lucid,,,,['tensorflow'],467.0,461.0,https://pypi.org/project/lucid,2018-12-20 00:26:11.000000,6.0,551.0,551.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n339,Great Expectations,great-expectations/great_expectations,,data-pipelines,https://github.com/great-expectations/great_expectations,https://github.com/great-expectations/great_expectations,Apache-2.0,2017-09-11 00:18:46.000000,2021-02-18 15:11:35.000000,2021-02-17 23:09:52.000000,458,158.0,614.0,3675,,Always know what to expect from your data.,160.0,24,True,2021-02-13 04:15:43.000000,0.13.10,101.0,great_expectations,,,,,6.0,,https://pypi.org/project/great_expectations,2021-02-13 04:10:27.000000,6.0,243428.0,243428.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n340,TensorFlowOnSpark,yahoo/TensorFlowOnSpark,,distributed-ml,https://github.com/yahoo/TensorFlowOnSpark,https://github.com/yahoo/TensorFlowOnSpark,Apache-2.0,2017-01-20 18:15:57.000000,2021-01-27 02:31:23.000000,2021-01-27 02:31:19.000000,928,8.0,336.0,3627,592.0,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,33.0,24,True,2020-12-18 21:57:51.000000,2.2.2,29.0,tensorflowonspark,,,,\"['tensorflow', 'spark']\",5.0,,https://pypi.org/project/tensorflowonspark,2020-12-18 18:32:09.000000,5.0,38141.0,38141.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n341,espnet,espnet/espnet,,audio,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000000,2021-02-18 14:04:04.000000,2021-02-18 13:37:24.000000,1088,130.0,1081.0,3440,10777.0,End-to-End Speech Processing Toolkit.,141.0,24,True,2021-01-15 08:52:23.000000,0.9.7,32.0,espnet,,,,,6.0,6.0,https://pypi.org/project/espnet,2021-01-15 08:52:23.000000,0.0,628.0,629.0,,,,,,,,3.0,60.0,,,,,,,,,,,,,,,,,,,,,,\n342,torchdiffeq,rtqichen/torchdiffeq,,pytorch-utils,https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25.000000,2021-02-06 20:33:16.000000,2021-02-06 20:32:52.000000,581,17.0,109.0,3362,212.0,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,19.0,24,True,2021-02-06 20:33:16.000000,0.2.1,5.0,torchdiffeq,,,,['pytorch'],65.0,65.0,https://pypi.org/project/torchdiffeq,2021-02-06 20:33:16.000000,0.0,1590.0,1590.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n343,T5,google-research/text-to-text-transfer-transformer,,nlp,https://github.com/google-research/text-to-text-transfer-transformer,https://github.com/google-research/text-to-text-transfer-transformer,Apache-2.0,2019-10-17 21:45:14.000000,2021-02-18 00:43:21.000000,2021-02-17 21:50:02.000000,432,34.0,303.0,3200,426.0,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,31.0,24,True,2020-12-18 21:12:02.000000,0.8.1,25.0,t5,,,,['tensorflow'],23.0,23.0,https://pypi.org/project/t5,2020-12-18 21:12:02.000000,0.0,4779.0,4779.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n344,pytorch-summary,sksq96/pytorch-summary,,pytorch-utils,https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04.000000,2020-09-11 22:33:42.000000,2020-08-07 01:16:40.000000,343,100.0,36.0,2924,56.0,Model summary in PyTorch similar to `model.summary()` in Keras.,11.0,24,True,2018-09-26 05:07:28.000000,1.5.1,12.0,torchsummary,,,,['pytorch'],2047.0,1929.0,https://pypi.org/project/torchsummary,2018-09-26 05:07:28.000000,118.0,29913.0,29913.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n345,Stable Baselines,hill-a/stable-baselines,,reinforcement-learning,https://github.com/hill-a/stable-baselines,https://github.com/hill-a/stable-baselines,MIT,2018-07-02 14:28:59.000000,2021-01-27 15:25:31.000000,2020-12-23 16:27:08.000000,579,126.0,731.0,2903,835.0,\"A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.\",110.0,24,True,2020-08-05 19:45:11.000000,2.10.1,30.0,stable-baselines,,,,,50.0,,https://pypi.org/project/stable-baselines,2020-08-05 19:42:14.000000,50.0,4776.0,4776.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n346,xLearn,aksnzhy/xlearn,,ml-frameworks,https://github.com/aksnzhy/xlearn,https://github.com/aksnzhy/xlearn,Apache-2.0,2017-06-10 08:09:31.000000,2021-01-28 14:17:44.000000,2020-03-03 10:12:35.000000,488,179.0,107.0,2839,1340.0,\"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..\",30.0,24,True,2019-04-25 02:10:05.000000,0.4.4,15.0,xlearn,,,,,42.0,41.0,https://pypi.org/project/xlearn,2018-12-04 11:05:06.000000,1.0,4067.0,4133.0,,,,,,,,3.0,2313.0,,,,,,,,,,,,,,,,,,,,,,\n347,PML,KevinMusgrave/pytorch-metric-learning,,pytorch-utils,https://github.com/KevinMusgrave/pytorch-metric-learning,https://github.com/KevinMusgrave/pytorch-metric-learning,MIT,2019-10-23 17:20:35.000000,2021-02-16 20:28:42.000000,2021-02-12 16:16:25.000000,378,35.0,181.0,2739,609.0,\"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.\",13.0,24,True,2021-01-12 14:49:11.000000,0.9.96,143.0,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,,['pytorch'],54.0,54.0,https://pypi.org/project/pytorch-metric-learning,2021-02-04 05:59:56.000000,0.0,2932.0,3027.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2021-01-12 15:47:14.797000,1242.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n348,DoWhy,Microsoft/dowhy,,interpretability,https://github.com/microsoft/dowhy,https://github.com/microsoft/dowhy,MIT,2018-05-31 13:07:04.000000,2021-02-18 10:31:14.000000,2021-02-18 10:31:14.000000,380,20.0,85.0,2671,429.0,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,39.0,24,True,2020-12-12 15:26:03.000000,0.5.1,5.0,dowhy,conda-forge/dowhy,,,,27.0,27.0,https://pypi.org/project/dowhy,2020-12-12 15:26:03.000000,,4540.0,4660.0,https://anaconda.org/conda-forge/dowhy,2020-12-13 07:46:12.761000,1074.0,,,,,2.0,23.0,,,,,,,,,,,,,,,,,,,,,,\n349,einops,arogozhnikov/einops,,ml-frameworks,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08.000000,2021-01-09 20:03:22.000000,2021-01-09 20:03:21.000000,77,22.0,41.0,2419,293.0,\"Deep learning operations reinvented (for pytorch, tensorflow, jax and others).\",10.0,24,True,2020-09-08 08:33:29.000000,0.3,3.0,einops,conda-forge/einops,,,,264.0,254.0,https://pypi.org/project/einops,2020-09-08 08:21:26.000000,10.0,11664.0,11886.0,https://anaconda.org/conda-forge/einops,2020-10-15 20:10:19.681000,3781.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n350,ClearML,allegroai/clearml,,ml-experiments,https://github.com/allegroai/clearml,https://github.com/allegroai/clearml,Apache-2.0,2019-06-10 08:18:32.000000,2021-02-15 09:36:28.000000,2021-02-14 11:52:09.000000,328,61.0,207.0,2177,1051.0,\"ClearML - Auto-Magical Suite of tools to streamline your ML workflow. Experiment Manager, ML-Ops and Data-Management.\",26.0,24,True,2021-01-13 12:56:36.000000,0.17.4,39.0,clearml,,allegroai/trains,,,13.0,13.0,https://pypi.org/project/clearml,2021-02-14 12:51:03.000000,0.0,2550.0,4062.0,,,,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,29967.0,2.0,295.0,,,,,,,,,,,,,,,,,,,,,,\n351,Arctic,man-group/arctic,,data-containers,https://github.com/man-group/arctic,https://github.com/man-group/arctic,LGPL-2.1,2015-05-29 13:37:30.000000,2021-02-05 16:08:56.000000,2021-01-26 00:14:21.000000,439,88.0,422.0,2177,1067.0,Arctic is a high performance datastore for numeric data.,71.0,24,True,2020-12-01 23:17:26.000000,1.79.4,83.0,arctic,conda-forge/arctic,,,,148.0,106.0,https://pypi.org/project/arctic,2020-12-01 23:16:12.000000,42.0,1594.0,2197.0,https://anaconda.org/conda-forge/arctic,2019-12-16 08:57:24.231000,12658.0,,,,,3.0,94.0,,,,,,,,,,,,,,,,,,,,,,\n352,Hyperas,maxpumperla/hyperas,,hyperopt,https://github.com/maxpumperla/hyperas,https://github.com/maxpumperla/hyperas,MIT,2016-02-19 14:45:10.000000,2020-12-22 08:31:48.000000,2020-12-22 08:31:47.000000,296,88.0,158.0,2074,209.0,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,21.0,24,True,2019-02-28 09:16:54.000000,0.4.1,9.0,hyperas,,,,['tensorflow'],42.0,,https://pypi.org/project/hyperas,2019-02-28 09:16:54.000000,42.0,10271.0,10271.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n353,fastNLP,fastnlp/fastNLP,,nlp,https://github.com/fastnlp/fastNLP,https://github.com/fastnlp/fastNLP,Apache-2.0,2018-03-07 13:30:20.000000,2020-12-16 10:04:23.000000,2020-11-23 10:50:37.000000,351,16.0,127.0,2012,1706.0,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,48.0,24,True,2020-11-06 15:31:29.000000,0.6.0,10.0,fastnlp,,,,,25.0,24.0,https://pypi.org/project/fastnlp,2019-02-04 02:35:37.000000,1.0,250.0,251.0,,,,,,,,3.0,54.0,,,,,,,,,,,,,,,,,,,,,,\n354,SRU,asappresearch/sru,,pytorch-utils,https://github.com/asappresearch/sru,https://github.com/asappresearch/sru,MIT,2017-08-28 20:37:41.000000,2021-01-30 15:46:36.000000,2020-12-17 19:36:53.000000,280,49.0,54.0,1871,378.0,Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755).,21.0,24,True,2020-12-17 19:40:55.000000,2.6.0-rc1,22.0,sru,,,,['pytorch'],16.0,15.0,https://pypi.org/project/sru,2021-01-22 20:02:59.000000,1.0,1458.0,1458.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n355,pytorch-nlp,PetrochukM/PyTorch-NLP,,nlp,https://github.com/PetrochukM/PyTorch-NLP,https://github.com/PetrochukM/PyTorch-NLP,BSD-3-Clause,2018-02-25 05:00:36.000000,2021-01-26 22:24:03.000000,2021-01-26 22:23:57.000000,223,14.0,49.0,1865,445.0,Basic Utilities for PyTorch Natural Language Processing (NLP).,17.0,24,True,2019-11-04 05:16:00.000000,0.5.0,19.0,pytorch-nlp,,,,['pytorch'],198.0,180.0,https://pypi.org/project/pytorch-nlp,2019-11-04 04:35:18.000000,18.0,1919.0,1919.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n356,python_speech_features,jameslyons/python_speech_features,,audio,https://github.com/jameslyons/python_speech_features,https://github.com/jameslyons/python_speech_features,MIT,2013-10-31 02:42:08.000000,2020-12-31 13:27:02.000000,2020-12-31 13:27:01.000000,539,23.0,49.0,1841,120.0,This library provides common speech features for ASR including MFCCs and filterbank energies.,18.0,24,True,2020-01-14 14:12:10.000000,0.6.1,6.0,python_speech_features,,,,,300.0,,https://pypi.org/project/python_speech_features,2017-08-16 01:46:13.000000,300.0,31016.0,31016.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n357,facenet-pytorch,timesler/facenet-pytorch,,image,https://github.com/timesler/facenet-pytorch,https://github.com/timesler/facenet-pytorch,MIT,2019-05-25 01:29:24.000000,2020-11-19 06:56:24.000000,2020-11-19 06:56:23.000000,389,30.0,84.0,1831,229.0,Pretrained Pytorch face detection (MTCNN) and recognition (InceptionResnet) models.,11.0,24,True,2020-11-19 06:49:36.000000,2.5.1,30.0,facenet-pytorch,,,,['pytorch'],286.0,283.0,https://pypi.org/project/facenet-pytorch,2020-11-19 06:49:36.000000,3.0,2457.0,6470.0,,,,,,,,3.0,60209.0,,,,,,,,,,,,,,,,,,,,,,\n358,polyglot,aboSamoor/polyglot,,nlp,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,GPL-3.0,2014-06-30 02:07:45.000000,2020-10-27 10:55:53.000000,2020-09-22 22:35:28.000000,292,132.0,62.0,1769,271.0,Multilingual text (NLP) processing toolkit.,26.0,24,False,2016-07-03 20:05:42.000000,16.7.4,8.0,polyglot,,,,,510.0,445.0,https://pypi.org/project/polyglot,2016-07-03 20:05:42.000000,65.0,29185.0,29185.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n359,Alphalens,quantopian/alphalens,,financial-data,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15.000000,2020-09-05 16:48:14.000000,2020-04-27 18:40:41.000000,654,38.0,145.0,1768,522.0,Performance analysis of predictive (alpha) stock factors.,25.0,24,True,2020-04-30 15:42:52.000000,0.4.0,10.0,alphalens,conda-forge/alphalens,,,,366.0,352.0,https://pypi.org/project/alphalens,2020-04-27 21:03:10.000000,14.0,1909.0,2203.0,https://anaconda.org/conda-forge/alphalens,2020-05-16 13:52:44.922000,10599.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n360,causalml,uber/causalml,,others,https://github.com/uber/causalml,https://github.com/uber/causalml,Apache-2.0,2019-07-09 02:08:58.000000,2021-02-03 02:20:18.000000,2021-02-03 02:20:17.000000,253,21.0,134.0,1628,302.0,Uplift modeling and causal inference with machine learning algorithms.,23.0,24,True,2020-10-23 22:53:43.000000,0.9.0,12.0,causalml,,,,,13.0,13.0,https://pypi.org/project/causalml,2020-10-23 22:44:35.000000,,6574.0,6574.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n361,category_encoders,scikit-learn-contrib/category_encoders,,sklearn-utils,https://github.com/scikit-learn-contrib/category_encoders,https://github.com/scikit-learn-contrib/category_encoders,BSD-3-Clause,2015-11-29 19:32:37.000000,2020-11-10 15:17:22.000000,2020-07-31 10:43:44.000000,293,65.0,135.0,1581,671.0,A library of sklearn compatible categorical variable encoders.,35.0,24,True,2020-04-29 02:09:51.000000,2.2.2,19.0,category_encoders,conda-forge/category_encoders,,,['sklearn'],23.0,,https://pypi.org/project/category_encoders,2018-10-14 14:15:54.000000,23.0,120487.0,122192.0,https://anaconda.org/conda-forge/category_encoders,2020-04-29 22:37:35.948000,93787.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n362,TorchServe,pytorch/serve,,model-serialisation,https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000000,2021-02-17 16:10:49.000000,2021-01-13 01:32:25.000000,236,130.0,405.0,1580,1049.0,Model Serving on PyTorch.,61.0,24,True,2020-12-18 01:38:41.000000,0.3.0,6.0,torchserve,pytorch/torchserve,pytorch/torchserve,,['pytorch'],29.0,29.0,https://pypi.org/project/torchserve,2020-12-17 19:04:04.000000,,3010.0,6930.0,https://anaconda.org/pytorch/torchserve,2020-12-17 18:30:12.593000,6579.0,https://hub.docker.com/r/pytorch/torchserve,2020-12-18 18:32:51.570336,3.0,51929.0,2.0,189.0,,,,,,,,,,,,,,,,,,,,,,\n363,tslearn,tslearn-team/tslearn,,time-series-data,https://github.com/tslearn-team/tslearn,https://github.com/tslearn-team/tslearn,BSD-2-Clause,2017-05-04 13:08:13.000000,2021-01-26 12:41:22.000000,2021-01-25 15:18:03.000000,221,58.0,167.0,1479,,A machine learning toolkit dedicated to time-series data.,29.0,24,True,2021-01-25 15:19:11.000000,0.5.0.5,92.0,tslearn,conda-forge/tslearn,,,['sklearn'],217.0,195.0,https://pypi.org/project/tslearn,2021-01-25 15:28:45.000000,22.0,47096.0,52409.0,https://anaconda.org/conda-forge/tslearn,2021-01-25 17:55:55.394000,185970.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n364,Elephas,maxpumperla/elephas,,distributed-ml,https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19.000000,2021-02-13 04:44:17.000000,2021-02-13 03:53:31.000000,288,21.0,117.0,1448,450.0,Distributed Deep learning with Keras & Spark.,27.0,24,True,2021-02-13 03:54:52.000000,1.4.2,18.0,elephas,,,,\"['keras', 'spark']\",40.0,37.0,https://pypi.org/project/elephas,2021-02-13 03:54:52.000000,3.0,7270.0,7270.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n365,PyTextRank,DerwenAI/pytextrank,,nlp,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000000,2021-02-16 01:05:26.000000,2021-02-16 01:05:26.000000,297,17.0,38.0,1434,178.0,Python implementation of TextRank for phrase extraction and summarization of text documents.,13.0,24,True,2021-02-14 23:04:58.000000,3.0.0,12.0,pytextrank,,,,,130.0,124.0,https://pypi.org/project/pytextrank,2021-02-14 23:04:58.000000,6.0,4506.0,4506.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n366,mtcnn,ipazc/mtcnn,,image,https://github.com/ipazc/mtcnn,https://github.com/ipazc/mtcnn,MIT,2018-01-05 04:08:32.000000,2021-02-03 15:49:06.000000,2021-01-13 23:50:58.000000,373,53.0,36.0,1402,55.0,\"MTCNN face detection implementation for TensorFlow, as a PIP package.\",14.0,24,True,2019-11-14 17:37:05.000000,0.1.0,10.0,mtcnn,,,,['tensorflow'],918.0,876.0,https://pypi.org/project/mtcnn,2019-11-14 17:37:05.000000,42.0,6965.0,6965.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n367,Hub,activeloopai/Hub,,data-pipelines,https://github.com/activeloopai/Hub,https://github.com/activeloopai/Hub,MPL-2.0,2019-08-09 06:17:59.000000,2021-02-18 14:18:39.000000,2021-02-18 09:36:46.000000,145,101.0,121.0,1385,1640.0,Fastest unstructured dataset management for TensorFlow/PyTorch. Stream data real-time & version-control it...,57.0,24,True,2021-02-17 10:17:11.000000,1.2.2,83.0,hub,,,,\"['tensorflow', 'pytorch']\",171.0,119.0,https://pypi.org/project/hub,2021-02-18 11:09:41.000000,52.0,608.0,608.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n368,TNT,pytorch/tnt,,ml-experiments,https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58.000000,2021-01-22 09:14:29.000000,2021-01-05 19:36:17.000000,186,30.0,34.0,1285,156.0,\"Simple tools for logging and visualizing, loading and training.\",35.0,24,True,2019-11-15 12:57:59.000000,0.0.5.1,3.0,torchnet,,,,['pytorch'],573.0,523.0,https://pypi.org/project/torchnet,2018-07-29 23:16:03.000000,50.0,2483.0,2483.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n369,IB-insync,erdewit/ib_insync,,financial-data,https://github.com/erdewit/ib_insync,https://github.com/erdewit/ib_insync,BSD-2-Clause,2017-07-12 12:09:24.000000,2021-02-08 10:58:40.000000,2021-02-08 10:58:40.000000,393,2.0,286.0,1265,550.0,Python sync/async framework for Interactive Brokers API.,26.0,24,True,2020-11-03 13:37:57.000000,0.9.64,89.0,ib_insync,conda-forge/ib-insync,,,,12.0,,https://pypi.org/project/ib_insync,2020-11-03 13:37:57.000000,12.0,2324.0,2721.0,https://anaconda.org/conda-forge/ib-insync,2020-11-07 23:30:42.910000,7543.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n370,Fairness 360,Trusted-AI/AIF360,,interpretability,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15.000000,2021-02-16 15:31:25.000000,2021-02-15 15:13:17.000000,390,35.0,47.0,1226,309.0,\"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..\",42.0,24,True,2020-06-02 22:59:53.000000,0.3.0,8.0,aif360,,,,,71.0,67.0,https://pypi.org/project/aif360,2020-06-02 22:49:24.000000,4.0,1986.0,1986.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n371,sense2vec,explosion/sense2vec,,nlp,https://github.com/explosion/sense2vec,https://github.com/explosion/sense2vec,MIT,2016-01-23 22:15:49.000000,2021-02-07 06:12:02.000000,2021-02-07 06:06:59.000000,204,15.0,79.0,1159,450.0,Contextually-keyed word vectors.,15.0,24,True,2021-02-07 06:12:02.000000,2.0.0,21.0,sense2vec,conda-forge/sense2vec,,,,62.0,50.0,https://pypi.org/project/sense2vec,2021-02-07 06:12:02.000000,12.0,2280.0,3554.0,https://anaconda.org/conda-forge/sense2vec,2020-03-16 22:19:07.337000,15172.0,,,,,3.0,13012.0,,,,,,,,,,,,,,,,,,,,,,\n372,petastorm,uber/petastorm,,distributed-ml,https://github.com/uber/petastorm,https://github.com/uber/petastorm,Apache-2.0,2018-06-15 23:15:29.000000,2021-02-03 01:11:09.000000,2021-02-03 01:11:08.000000,187,124.0,113.0,1082,616.0,Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets..,38.0,24,True,2020-12-15 18:37:49.000000,0.9.8,64.0,petastorm,,,,,26.0,26.0,https://pypi.org/project/petastorm,2020-12-15 18:37:49.000000,,36814.0,36823.0,,,,,,,,2.0,288.0,,,,,,,,,,,,,,,,,,,,,,\n373,livelossplot,stared/livelossplot,,ml-experiments,https://github.com/stared/livelossplot,https://github.com/stared/livelossplot,MIT,2018-03-10 17:51:43.000000,2021-02-07 23:25:37.000000,2021-02-07 23:24:31.000000,130,4.0,70.0,1043,323.0,\"Live training loss plot in Jupyter Notebook for Keras, PyTorch and others.\",16.0,24,True,2021-02-03 16:25:47.000000,0.5.4,24.0,livelossplot,,,,['jupyter'],457.0,447.0,https://pypi.org/project/livelossplot,2021-02-03 16:25:47.000000,10.0,11664.0,11664.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n374,TabPy,tableau/TabPy,,others,https://github.com/tableau/TabPy,https://github.com/tableau/TabPy,MIT,2016-09-27 21:26:03.000000,2021-02-04 23:28:56.000000,2021-02-04 23:28:56.000000,383,13.0,255.0,1032,828.0,Execute Python code on the fly and display results in Tableau visualizations:.,40.0,24,True,2020-11-11 19:06:41.000000,2.3.1,24.0,tabpy,,,,,47.0,47.0,https://pypi.org/project/tabpy,2020-11-11 19:06:41.000000,,2555.0,2555.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n375,Streamz,python-streamz/streamz,,time-series-data,https://github.com/python-streamz/streamz,https://github.com/python-streamz/streamz,BSD-3-Clause,2017-04-04 21:45:49.000000,2021-01-15 14:38:35.032000,2021-01-14 20:46:26.000000,112,89.0,127.0,909,733.0,Real-time stream processing for python.,38.0,24,True,2020-11-02 14:53:29.000000,0.6.1,14.0,streamz,conda-forge/streamz,,,,205.0,189.0,https://pypi.org/project/streamz,2020-11-02 14:53:29.000000,16.0,2108.0,5025.0,https://anaconda.org/conda-forge/streamz,2021-01-15 14:38:35.032000,119598.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n376,spacy-transformers,explosion/spacy-transformers,,nlp,https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000000,2021-02-15 16:41:35.000000,2021-02-08 12:05:46.000000,101,48.0,,903,1317.0,\"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.\",15.0,24,True,2021-02-02 10:57:09.000000,1.0.1,42.0,spacy-transformers,,,,['spacy'],89.0,83.0,https://pypi.org/project/spacy-transformers,2021-02-01 10:11:37.000000,6.0,14029.0,14029.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n377,ffn,pmorissette/ffn,,financial-data,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09.000000,2021-02-18 10:34:12.000000,2021-02-18 10:34:06.000000,186,19.0,63.0,781,339.0,ffn - a financial function library for Python.,25.0,24,True,2021-02-01 04:38:52.000000,0.3.5,26.0,ffn,,,,,140.0,98.0,https://pypi.org/project/ffn,2021-02-01 04:35:47.000000,42.0,6007.0,6007.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n378,PennyLane,PennyLaneAI/PennyLane,,others,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000000,2021-02-18 14:54:02.000000,2021-02-17 20:19:35.000000,217,56.0,242.0,757,1807.0,PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum..,41.0,24,True,2021-02-12 15:50:08.000000,0.14.1,20.0,pennylane,,,,,20.0,,https://pypi.org/project/pennylane,2021-02-12 15:49:56.000000,20.0,2433.0,2435.0,,,,,,,,2.0,56.0,,,,,,,,,,,,,,,,,,,,,,\n379,ktrain,amaiya/ktrain,,ml-frameworks,https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39.000000,2021-02-08 13:43:31.000000,2021-01-29 15:46:22.000000,182,10.0,298.0,741,2156.0,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,12.0,24,True,2021-01-28 01:04:41.000000,0.25.4,147.0,ktrain,,,,['tensorflow'],124.0,123.0,https://pypi.org/project/ktrain,2021-01-28 01:03:31.000000,1.0,3811.0,3811.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n380,AstroML,astroML/astroML,,others,https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50.000000,2021-02-14 07:42:49.000000,2020-09-09 15:52:13.000000,249,48.0,80.0,727,508.0,\"Machine learning, statistics, and data mining for astronomy and astrophysics.\",29.0,24,True,2019-10-02 06:32:58.000000,0.4.1,10.0,astroML,conda-forge/astroml,,,['sklearn'],191.0,162.0,https://pypi.org/project/astroML,2020-03-23 23:20:49.000000,29.0,614.0,1132.0,https://anaconda.org/conda-forge/astroml,2020-02-16 04:18:54.678000,21775.0,,,,,2.0,,2.0,,,,,,,,,,,,,,,,,,,,,\n381,stockstats,jealous/stockstats,,financial-data,https://github.com/jealous/stockstats,https://github.com/jealous/stockstats,BSD-3-Clause,2016-06-05 15:21:22.000000,2020-12-10 07:08:11.000000,2020-10-17 10:59:35.000000,198,29.0,30.0,719,23.0,Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.,7.0,24,True,2020-10-17 11:10:43.000000,0.3.2,14.0,stockstats,,,,,198.0,174.0,https://pypi.org/project/stockstats,2020-10-17 11:10:43.000000,24.0,17420.0,17420.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n382,Singer,singer-io/getting-started,,data-loading,https://github.com/singer-io/getting-started,https://github.com/singer-io/getting-started,AGPL-3.0,2016-10-31 16:53:56.000000,2021-02-12 15:39:15.000000,2020-12-04 20:57:19.000000,97,20.0,16.0,703,173.0,\"Standard for moving data between databases, web APIs, files, queues, and just about anything else you can think of.\",26.0,24,False,2020-10-27 17:49:47.000000,5.9.1,101.0,singer-python,,,,,300.0,,https://pypi.org/project/singer-python,2021-02-03 15:09:58.000000,300.0,41915.0,41915.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n383,pythreejs,jupyter-widgets/pythreejs,,data-viz,https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,BSD-3-Clause,2013-12-23 17:02:11.000000,2021-02-17 04:47:39.000000,2021-02-15 15:28:38.000000,156,60.0,137.0,700,1609.0,A Jupyter - Three.js bridge.,26.0,24,True,2020-03-19 11:32:37.000000,2.2.0,42.0,pythreejs,conda-forge/pythreejs,,,['jupyter'],36.0,15.0,https://pypi.org/project/pythreejs,2020-10-09 09:40:47.000000,13.0,5212.0,16294.0,https://anaconda.org/conda-forge/pythreejs,2020-10-12 12:24:08.446000,268432.0,,,,,3.0,,,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,2020-03-19 11:22:13.041000,8.0,6373.0,,,,,,,,,,,,,,,\n384,Hail,hail-is/hail,,medical-data,https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000000,2021-02-18 14:52:44.000000,2021-02-18 14:38:07.000000,181,323.0,1936.0,700,7617.0,Scalable genomic data analysis.,69.0,24,True,2021-02-04 21:33:46.000000,0.2.62,82.0,hail,,,,['spark'],30.0,30.0,https://pypi.org/project/hail,2021-02-04 21:33:46.000000,0.0,1163.0,1163.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n385,dask-ml,dask/dask-ml,,distributed-ml,https://github.com/dask/dask-ml,https://github.com/dask/dask-ml,BSD-3-Clause,2017-06-15 15:56:06.000000,2021-02-15 17:12:27.000000,2021-02-15 17:07:07.000000,186,186.0,210.0,685,,Scalable Machine Learning with Dask.,62.0,24,True,2021-01-30 16:49:37.000000,1.8.0,27.0,dask-ml,conda-forge/dask-ml,,,,387.0,345.0,https://pypi.org/project/dask-ml,2021-01-30 16:49:37.000000,42.0,15159.0,20008.0,https://anaconda.org/conda-forge/dask-ml,2021-01-30 20:07:36.819000,193998.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n386,CLTK,cltk/cltk,,nlp,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000000,2021-02-14 22:47:57.000000,2021-02-14 22:39:32.000000,299,126.0,360.0,629,2772.0,The Classical Language Toolkit.,109.0,24,True,2020-06-22 06:03:33.000000,0.1.121,166.0,cltk,,,,,223.0,155.0,https://pypi.org/project/cltk,2021-02-14 22:47:57.000000,68.0,1020.0,1020.0,,,,,,,,3.0,22.0,,,,,,,,,,,,,,,,,,,,,,\n387,pyjanitor,ericmjl/pyjanitor,,others,https://github.com/ericmjl/pyjanitor,https://github.com/ericmjl/pyjanitor,MIT,2018-03-04 22:43:33.000000,2021-02-18 09:47:58.000000,2021-02-14 20:08:08.000000,118,89.0,281.0,628,1162.0,Clean APIs for data cleaning. Python implementation of R package Janitor.,88.0,24,True,2020-10-03 12:24:35.000000,0.20.10,46.0,pyjanitor,conda-forge/pyjanitor,,,,87.0,85.0,https://pypi.org/project/pyjanitor,2020-10-03 12:24:35.000000,2.0,1353.0,3610.0,https://anaconda.org/conda-forge/pyjanitor,2020-10-04 12:30:53.707000,79019.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n388,tensorflow-upstream,ROCmSoftwarePlatform/tensorflow-upstream,,ml-frameworks,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,Apache-2.0,2018-04-09 21:24:50.000000,2021-02-18 02:17:41.000000,2021-02-15 21:26:13.000000,64,55.0,227.0,542,79524.0,TensorFlow ROCm port.,3547.0,24,True,2020-12-08 01:43:55.000000,2.3.3,58.0,tensorflow-rocm,,,,['tensorflow'],,,https://pypi.org/project/tensorflow-rocm,2020-12-22 02:51:55.000000,,761.0,761.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,,,,,\n389,SALib,SALib/SALib,,probabilistics,https://github.com/SALib/SALib,https://github.com/SALib/SALib,MIT,2013-05-30 13:38:10.000000,2021-01-30 05:06:27.000000,2021-01-20 02:04:21.000000,142,41.0,184.0,432,909.0,\"Sensitivity Analysis Library in Python (Numpy). Contains Sobol, Morris, Fractional Factorial and FAST methods.\",24.0,24,True,2020-11-12 17:13:12.000000,1.3.12,29.0,salib,conda-forge/salib,,,,44.0,,https://pypi.org/project/salib,2020-11-19 15:36:26.000000,44.0,10203.0,11340.0,https://anaconda.org/conda-forge/salib,2020-10-24 17:04:41.614000,58019.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n390,sklearn-crfsuite,TeamHG-Memex/sklearn-crfsuite,,sklearn-utils,https://github.com/TeamHG-Memex/sklearn-crfsuite,https://github.com/TeamHG-Memex/sklearn-crfsuite,MIT,2015-11-26 21:15:41.000000,2020-12-30 08:00:27.000000,2019-12-05 08:17:22.000000,153,34.0,21.0,359,46.0,scikit-learn inspired API for CRFsuite.,6.0,24,False,2017-06-22 18:49:27.000000,0.3.6,9.0,sklearn-crfsuite,,,,['sklearn'],2868.0,2472.0,https://pypi.org/project/sklearn-crfsuite,2017-06-22 18:49:27.000000,396.0,28899.0,28899.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n391,ml-metadata,google/ml-metadata,,ml-experiments,https://github.com/google/ml-metadata,https://github.com/google/ml-metadata,Apache-2.0,2019-01-15 21:02:09.000000,2021-02-10 23:37:40.000000,2021-02-10 23:37:35.000000,60,17.0,42.0,280,466.0,For recording and retrieving metadata associated with ML developer and data scientist workflows.,12.0,24,True,2021-01-26 20:42:49.000000,0.27.0,23.0,ml-metadata,,,,,75.0,75.0,https://pypi.org/project/ml-metadata,2021-01-26 22:36:41.000000,0.0,145515.0,145568.0,,,,,,,,2.0,1237.0,,,,,,,,,,,,,,,,,,,,,,\n392,datalad,datalad/datalad,,others,https://github.com/datalad/datalad,https://github.com/datalad/datalad,MIT,2013-11-01 19:40:08.000000,2021-02-18 09:57:23.000000,2021-02-12 20:24:38.000000,68,711.0,2222.0,226,13373.0,\"Keep code, data, containers under control with git and git-annex.\",40.0,24,True,2021-02-02 17:40:16.000000,0.14.0,64.0,datalad,conda-forge/datalad,,,,26.0,,https://pypi.org/project/datalad,2021-02-02 17:35:56.000000,26.0,2581.0,5072.0,https://anaconda.org/conda-forge/datalad,2021-02-03 22:25:50.068000,87196.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n393,PaddleOCR,PaddlePaddle/PaddleOCR,,ocr,https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000000,2021-02-18 11:27:43.000000,2021-02-18 11:27:43.000000,2080,448.0,884.0,10909,,\"Awesome multilingual OCR toolkits based on PaddlePaddle practical ultra lightweight OCR system, provide data..\",41.0,23,True,2021-02-08 15:36:59.000000,2.0.0,10.0,paddleocr,,,,['paddle'],21.0,21.0,https://pypi.org/project/paddleocr,2020-12-18 04:01:23.000000,0.0,891.0,891.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n394,pysc2,deepmind/pysc2,,others,https://github.com/deepmind/pysc2,https://github.com/deepmind/pysc2,Apache-2.0,2017-07-25 18:16:57.000000,2020-07-29 16:22:31.000000,2019-09-27 15:23:22.000000,1095,57.0,203.0,7184,513.0,StarCraft II Learning Environment.,34.0,23,False,2019-09-27 15:48:01.000000,3.0.0,7.0,pysc2,,,,,247.0,227.0,https://pypi.org/project/pysc2,2019-09-27 15:48:01.000000,20.0,379.0,992.0,,,,,,,,3.0,25768.0,,,,,,,,,,,,,,,,,,,,,,\n395,Ciphey,Ciphey/Ciphey,,nlp,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39.000000,2021-02-15 19:52:41.000000,2021-02-10 18:35:39.000000,353,48.0,174.0,6290,1729.0,\"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.\",39.0,23,True,2020-12-02 12:36:44.000000,5.11.0,43.0,ciphey,,remnux/ciphey,,,,,https://pypi.org/project/ciphey,2020-12-02 12:36:44.000000,,2073.0,2493.0,,,,https://hub.docker.com/r/remnux/ciphey,2021-02-14 02:12:39.610840,2.0,7995.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n396,Vaex,vaexio/vaex,,data-containers,https://github.com/vaexio/vaex,https://github.com/vaexio/vaex,MIT,2014-09-27 09:44:42.000000,2021-02-18 10:58:32.000000,2021-02-05 12:30:44.000000,442,302.0,393.0,5767,2960.0,\"Out-of-Core DataFrames for Python, ML, visualize and explore big tabular data at a billion rows per second.\",38.0,23,True,2020-05-25 21:35:34.000000,3.0.0,48.0,vaex,conda-forge/vaex,,,,4.0,,https://pypi.org/project/vaex,2021-01-27 18:51:38.000000,4.0,3004.0,4853.0,https://anaconda.org/conda-forge/vaex,2020-06-01 18:35:17.510000,96083.0,,,,,3.0,199.0,,,,,,,,,,,,,,,,,,,,,,\n397,EfficientNet-PyTorch,lukemelas/EfficientNet-PyTorch,,pytorch-utils,https://github.com/lukemelas/EfficientNet-PyTorch,https://github.com/lukemelas/EfficientNet-PyTorch,Apache-2.0,2019-05-30 05:24:11.000000,2021-02-09 15:32:57.000000,2020-10-09 16:24:04.000000,1078,112.0,117.0,5472,141.0,A PyTorch implementation of EfficientNet.,21.0,23,True,2020-08-26 03:00:05.000000,0.7.0,12.0,efficientnet-pytorch,,,,['pytorch'],14.0,,https://pypi.org/project/efficientnet-pytorch,2020-08-26 03:00:05.000000,14.0,22988.0,53445.0,,,,,,,,2.0,335030.0,,,,,,,,,,,,,,,,,,,,,,\n398,snownlp,isnowfy/snownlp,,chinese-nlp,https://github.com/isnowfy/snownlp,https://github.com/isnowfy/snownlp,MIT,2013-11-26 11:46:56.000000,2020-01-19 02:39:05.000000,2020-01-19 02:39:03.000000,1239,33.0,65.0,5292,57.0,Python library for processing Chinese text.,8.0,23,False,2015-09-27 16:35:23.000000,0.12.3,17.0,snownlp,,,,,561.0,523.0,https://pypi.org/project/snownlp,2015-09-27 16:35:23.000000,38.0,1254.0,1254.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n399,mmdnn,Microsoft/MMdnn,,model-serialisation,https://github.com/microsoft/MMdnn,https://github.com/microsoft/MMdnn,MIT,2017-08-16 08:03:52.000000,2021-02-18 13:17:02.000000,2020-08-14 02:32:30.000000,927,304.0,287.0,5215,1083.0,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,85.0,23,True,2020-07-24 06:34:39.000000,0.3.1,12.0,mmdnn,,,,,52.0,49.0,https://pypi.org/project/mmdnn,2020-07-24 06:34:39.000000,3.0,397.0,481.0,,,,,,,,2.0,3299.0,,,,,,,,,,,,,,,,,,,,,,\n400,Apex,NVIDIA/apex,,gpu-utilities,https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000000,2021-02-16 22:57:12.000000,2021-02-10 06:12:42.000000,685,445.0,365.0,5052,830.0,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,78.0,23,True,,,1.0,,conda-forge/nvidia-apex,,,['pytorch'],452.0,452.0,,,,,2012.0,https://anaconda.org/conda-forge/nvidia-apex,2020-11-23 18:41:00.769000,32207.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n401,Face Alignment,1adrianb/face-alignment,,image,https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44.000000,2021-01-30 20:13:18.000000,2020-12-30 17:11:06.000000,1012,31.0,192.0,4677,196.0,2D and 3D Face alignment library build using pytorch.,21.0,23,True,2020-12-22 21:34:55.000000,1.3.3,9.0,face-alignment,,,,['pytorch'],6.0,,https://pypi.org/project/face-alignment,2020-12-22 21:34:55.000000,6.0,3038.0,3038.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n402,flashtext,vi3k6i5/flashtext,,nlp,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01.000000,2020-06-05 00:37:46.000000,2020-05-03 07:13:22.000000,521,48.0,49.0,4650,108.0,Extract Keywords from sentence or Replace keywords in sentences.,8.0,23,True,,,18.0,flashtext,,,,,397.0,365.0,https://pypi.org/project/flashtext,2018-02-16 05:24:17.000000,32.0,149793.0,149793.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n403,textgenrnn,minimaxir/textgenrnn,,nlp,https://github.com/minimaxir/textgenrnn,https://github.com/minimaxir/textgenrnn,MIT,2017-08-07 02:13:37.000000,2020-12-25 03:33:19.000000,2020-07-14 02:41:10.000000,678,116.0,79.0,4269,174.0,Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines..,19.0,23,True,2020-02-03 01:07:00.000000,2.0.0,14.0,textgenrnn,,,,['tensorflow'],660.0,646.0,https://pypi.org/project/textgenrnn,2020-02-02 21:16:15.000000,14.0,614.0,625.0,,,,,,,,3.0,407.0,,,,,,,,,,,,,,,,,,,,,,\n404,VisualDL,PaddlePaddle/VisualDL,,ml-experiments,https://github.com/PaddlePaddle/VisualDL,https://github.com/PaddlePaddle/VisualDL,Apache-2.0,2017-12-20 12:34:31.000000,2021-02-07 04:33:58.000000,2021-02-04 06:55:23.000000,520,25.0,317.0,3832,,Deep Learning Visualization Toolkit.,28.0,23,True,2021-02-01 09:03:52.000000,2.1.1,31.0,visualdl,,,,['paddle'],162.0,152.0,https://pypi.org/project/visualdl,2021-01-29 09:44:14.000000,10.0,2616.0,2626.0,,,,,,,,3.0,87.0,,,,,,,,,,,,,,,,,,,,,,\n405,Lasagne,Lasagne/Lasagne,,ml-frameworks,https://github.com/Lasagne/Lasagne,https://github.com/Lasagne/Lasagne,MIT,2014-09-11 15:31:41.000000,2019-11-20 20:28:31.000000,2019-11-20 20:28:30.000000,983,139.0,402.0,3771,1161.0,Lightweight library to build and train neural networks in Theano.,72.0,23,False,2015-08-13 21:00:09.000000,0.1,1.0,lasagne,,,,,1292.0,786.0,https://pypi.org/project/lasagne,2015-08-13 21:10:53.000000,506.0,1014.0,1014.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n406,Snips NLU,snipsco/snips-nlu,,nlp,https://github.com/snipsco/snips-nlu,https://github.com/snipsco/snips-nlu,Apache-2.0,2017-02-08 16:16:36.000000,2020-12-24 12:59:47.000000,2020-02-08 21:49:32.000000,462,51.0,196.0,3450,2153.0,Snips Python library to extract meaning from text.,21.0,23,True,2020-01-15 10:13:17.000000,0.20.2,58.0,snips-nlu,,,,,8.0,,https://pypi.org/project/snips-nlu,2020-01-15 10:13:17.000000,8.0,2428.0,2428.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n407,ArrayFire,arrayfire/arrayfire,,gpu-utilities,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000000,2021-02-17 23:41:41.000000,2021-02-17 23:14:30.000000,455,254.0,1207.0,3307,5689.0,ArrayFire: a general purpose GPU library.,80.0,23,True,2021-01-08 21:41:09.000000,3.8.0,30.0,arrayfire,,,,,8.0,,https://pypi.org/project/arrayfire,2018-10-18 14:13:29.000000,8.0,440.0,450.0,,,,,,,,2.0,709.0,,,,,,,,,,,,,,,,,,,,,,\n408,PyAlgoTrade,gbeced/pyalgotrade,,financial-data,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54.000000,2020-12-24 18:41:56.000000,2018-08-21 02:42:52.000000,1187,45.0,81.0,3174,1156.0,Python Algorithmic Trading Library.,11.0,23,False,,,8.0,pyalgotrade,,,,,89.0,68.0,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25.000000,21.0,444.0,444.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n409,TensorWatch,microsoft/tensorwatch,,ml-experiments,https://github.com/microsoft/tensorwatch,https://github.com/microsoft/tensorwatch,MIT,2019-05-15 08:29:34.000000,2021-02-10 08:45:14.000000,2021-01-15 19:46:05.000000,315,49.0,15.0,3029,112.0,\"Debugging, monitoring and visualization for Python Machine Learning and Data Science.\",13.0,23,True,2020-03-04 07:26:22.000000,0.9.1,14.0,tensorwatch,,,,,51.0,45.0,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22.000000,6.0,9871.0,9871.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n410,Camelot,atlanhq/camelot,,data-loading,https://github.com/atlanhq/camelot,https://github.com/atlanhq/camelot,MIT,2016-06-18 11:48:49.000000,2020-07-27 12:28:15.000000,2019-10-15 05:25:40.000000,307,68.0,273.0,2985,446.0,Camelot: PDF Table Extraction for Humans.,23.0,23,False,2020-07-27 12:28:15.000000,0.8.2,21.0,camelot-py,,,,,20.0,,https://pypi.org/project/camelot-py,2020-07-27 12:28:15.000000,20.0,15823.0,15823.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n411,segmentation_models,qubvel/segmentation_models,,image,https://github.com/qubvel/segmentation_models,https://github.com/qubvel/segmentation_models,MIT,2018-06-05 13:27:56.000000,2020-12-13 13:48:40.000000,2020-04-17 09:51:20.000000,687,151.0,236.0,2952,204.0,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,14.0,23,True,2020-01-10 11:36:02.000000,1.0.1,8.0,segmentation_models,,,,['tensorflow'],24.0,,https://pypi.org/project/segmentation_models,2020-01-10 11:36:02.000000,24.0,10963.0,10963.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n412,SHOGUN,shogun-toolbox/shogun,,ml-frameworks,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32.000000,2021-01-27 17:11:33.000000,2020-12-08 16:56:38.000000,1017,544.0,1070.0,2799,16205.0,Unified and efficient Machine Learning.,248.0,23,True,2019-07-05 10:23:31.000000,shogun_6.1.4,10.0,,conda-forge/shogun,shogun/shogun,,,,,,,,,2145.0,https://anaconda.org/conda-forge/shogun,2018-06-25 20:49:17.070000,91737.0,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1444.0,3.0,,,,,,,,,,shogun,,,,,,,,,,,,,\n413,keras-vis,raghakot/keras-vis,,interpretability,https://github.com/raghakot/keras-vis,https://github.com/raghakot/keras-vis,MIT,2016-11-11 23:27:34.000000,2020-04-20 01:03:13.000000,2020-04-20 01:03:12.000000,583,113.0,99.0,2785,195.0,Neural network visualization toolkit for keras.,10.0,23,True,2017-07-06 04:55:04.000000,0.4.1,11.0,keras-vis,,,,['tensorflow'],778.0,722.0,https://pypi.org/project/keras-vis,2017-07-06 04:55:04.000000,56.0,1202.0,1202.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n414,Sumy,miso-belica/sumy,,nlp,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48.000000,2020-11-21 17:08:35.000000,2020-11-21 17:08:33.000000,439,10.0,78.0,2499,397.0,Module for automatic summarization of text documents and HTML pages.,20.0,23,True,2019-05-19 14:39:21.000000,0.8.1,13.0,sumy,,,,,853.0,661.0,https://pypi.org/project/sumy,2019-05-19 14:38:29.000000,192.0,5152.0,5152.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n415,MMLSpark,Azure/mmlspark,,distributed-ml,https://github.com/Azure/mmlspark,https://github.com/Azure/mmlspark,MIT,2017-06-05 08:23:44.000000,2021-02-15 00:02:39.000000,2021-02-10 16:56:57.000000,503,202.0,213.0,2251,777.0,Microsoft Machine Learning for Apache Spark.,62.0,23,True,2020-10-02 19:36:01.000000,1.0.0-rc3,17.0,mmlspark,,,,['spark'],,,https://pypi.org/project/mmlspark,2020-03-18 01:27:31.000000,,37480.0,37480.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n416,neuralcoref,huggingface/neuralcoref,,nlp,https://github.com/huggingface/neuralcoref,https://github.com/huggingface/neuralcoref,MIT,2017-07-03 13:04:16.000000,2021-02-11 15:18:37.000000,2020-12-29 21:22:53.000000,384,45.0,217.0,2203,113.0,Fast Coreference Resolution in spaCy with Neural Networks.,20.0,23,True,2019-04-08 11:28:27.000000,4.0.0,5.0,neuralcoref,conda-forge/neuralcoref,,,,311.0,293.0,https://pypi.org/project/neuralcoref,2019-04-08 09:56:00.000000,18.0,2144.0,2661.0,https://anaconda.org/conda-forge/neuralcoref,2020-02-21 22:10:40.453000,6159.0,,,,,3.0,172.0,,,,,,,,,,,,,,,,,,,,,,\n417,scikit-plot,reiinakano/scikit-plot,,interpretability,https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59.000000,2020-07-22 16:19:25.000000,2018-08-19 12:37:47.000000,244,21.0,38.0,2033,130.0,An intuitive library to add plotting functionality to scikit-learn objects.,13.0,23,False,2018-08-19 12:21:01.000000,0.3.7,27.0,scikit-plot,conda-forge/scikit-plot,,,['sklearn'],786.0,759.0,https://pypi.org/project/scikit-plot,2018-08-19 12:18:46.000000,27.0,32903.0,34793.0,https://anaconda.org/conda-forge/scikit-plot,2019-06-05 14:23:59.043000,81284.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n418,ART,Trusted-AI/adversarial-robustness-toolbox,,adversarial,https://github.com/Trusted-AI/adversarial-robustness-toolbox,https://github.com/Trusted-AI/adversarial-robustness-toolbox,MIT,2018-03-15 14:40:43.000000,2021-02-17 23:49:03.000000,2021-02-15 22:15:05.000000,563,84.0,333.0,2010,,\"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..\",60.0,23,True,2021-01-09 02:13:17.000000,1.5.1,27.0,adversarial-robustness-toolbox,,,,,102.0,102.0,https://pypi.org/project/adversarial-robustness-toolbox,2021-01-09 02:13:17.000000,0.0,1241.0,1241.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n419,Enigma Catalyst,enigmampc/catalyst,,financial-data,https://github.com/enigmampc/catalyst,https://github.com/enigmampc/catalyst,Apache-2.0,2017-06-13 22:31:34.000000,2021-01-05 19:10:30.000000,2020-12-28 10:58:58.000000,600,135.0,363.0,2006,6362.0,An Algorithmic Trading Library for Crypto-Assets in Python.,144.0,23,True,2018-11-11 16:46:28.000000,0.5.21,52.0,enigma-catalyst,,,,,23.0,21.0,https://pypi.org/project/enigma-catalyst,2018-11-11 16:46:28.000000,2.0,721.0,721.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n420,Acme,deepmind/acme,,reinforcement-learning,https://github.com/deepmind/acme,https://github.com/deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000000,2021-02-17 16:07:38.000000,2021-02-17 16:06:50.000000,186,37.0,46.0,1926,355.0,A library of reinforcement learning components and agents.,33.0,23,True,2020-10-23 16:00:01.000000,0.2.0,9.0,dm-acme,,,,['tensorflow'],20.0,20.0,https://pypi.org/project/dm-acme,2020-10-23 16:00:01.000000,,449.0,449.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n421,GluonTS,awslabs/gluon-ts,,time-series-data,https://github.com/awslabs/gluon-ts,https://github.com/awslabs/gluon-ts,Apache-2.0,2019-05-15 17:17:29.000000,2021-02-18 04:08:40.000000,2021-02-13 07:07:32.000000,365,180.0,362.0,1740,672.0,Probabilistic time series modeling in Python.,68.0,23,True,2021-02-10 13:14:07.000000,0.6.6,29.0,gluonts,,,,['mxnet'],0.0,,https://pypi.org/project/gluonts,2021-02-10 13:14:07.000000,0.0,12559.0,12559.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n422,Spektral,danielegrattarola/spektral,,graph,https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10.000000,2021-02-16 14:16:59.000000,2021-02-16 14:16:54.000000,197,21.0,108.0,1622,928.0,Graph Neural Networks with Keras and Tensorflow 2.,16.0,23,True,2021-01-07 18:03:04.000000,1.0.4,27.0,spektral,,,,\"['tensorflow\"\"']\",29.0,29.0,https://pypi.org/project/spektral,2021-01-07 18:03:04.000000,0.0,2011.0,2011.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n423,Pillow-SIMD,uploadcare/pillow-simd,,image,https://github.com/uploadcare/pillow-simd,https://github.com/uploadcare/pillow-simd,PIL,2014-11-12 15:33:02.000000,2021-02-11 10:12:55.000000,2020-06-02 14:50:14.000000,65,11.0,53.0,1545,,The friendly PIL fork.,310.0,23,False,2020-01-02 05:19:26.000000,7.0.0,35.0,pillow-simd,,,,,411.0,361.0,https://pypi.org/project/pillow-simd,2020-01-26 14:30:27.000000,50.0,14371.0,14371.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n424,Multicore-TSNE,DmitryUlyanov/Multicore-TSNE,,data-viz,https://github.com/DmitryUlyanov/Multicore-TSNE,https://github.com/DmitryUlyanov/Multicore-TSNE,BSD-3-Clause,2016-10-19 05:46:52.000000,2020-12-20 08:15:51.000000,2020-08-19 14:58:00.000000,199,36.0,20.0,1537,113.0,Parallel t-SNE implementation with Python and Torch wrappers.,15.0,23,True,2017-11-08 13:32:20.000000,0.0.1,3.0,MulticoreTSNE,conda-forge/multicore-tsne,,,['pytorch'],241.0,213.0,https://pypi.org/project/MulticoreTSNE,2019-01-09 07:23:04.000000,28.0,1970.0,2195.0,https://anaconda.org/conda-forge/multicore-tsne,2018-11-12 17:08:01.525000,6097.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n425,sklearn-contrib-lightning,scikit-learn-contrib/lightning,,sklearn-utils,https://github.com/scikit-learn-contrib/lightning,https://github.com/scikit-learn-contrib/lightning,BSD-3-Clause,2012-01-11 13:53:52.000000,2021-01-05 05:54:02.000000,2021-01-04 18:02:23.000000,188,49.0,36.0,1432,700.0,\"Large-scale linear classification, regression and ranking in Python.\",16.0,23,True,2017-11-04 18:03:11.000000,0.5.0,7.0,sklearn-contrib-lightning,conda-forge/sklearn-contrib-lightning,,,['sklearn'],81.0,76.0,https://pypi.org/project/sklearn-contrib-lightning,2020-12-16 17:25:20.000000,5.0,304.0,2663.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2020-12-20 22:58:20.890000,129779.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n426,Pandaral·lel,nalepae/pandarallel,,data-containers,https://github.com/nalepae/pandarallel,https://github.com/nalepae/pandarallel,BSD-3-Clause,2019-03-10 11:58:29.000000,2021-02-04 21:35:01.000000,2021-02-04 21:27:26.000000,95,64.0,55.0,1401,114.0,A simple and efficient tool to parallelize Pandas operations on all availableCPUs.,14.0,23,True,2021-02-04 21:31:04.000000,1.5.2,29.0,pandarallel,,,,\"['pandas', 'jupyter']\",149.0,149.0,https://pypi.org/project/pandarallel,2021-02-04 21:35:01.000000,0.0,28610.0,28610.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n427,bonobo,python-bonobo/bonobo,,data-pipelines,https://github.com/python-bonobo/bonobo,https://github.com/python-bonobo/bonobo,Apache-2.0,2016-12-09 04:03:23.000000,2021-02-02 21:44:59.000000,2021-01-01 05:32:01.000000,110,63.0,107.0,1387,978.0,Extract Transform Load for Python 3.5+.,36.0,23,True,2019-05-16 13:19:48.000000,0.6.4,38.0,bonobo,,,http://docs.bonobo-project.org/en/master/,,160.0,108.0,https://pypi.org/project/bonobo,2019-07-20 13:33:19.000000,52.0,2718.0,2718.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n428,fklearn,nubank/fklearn,,ml-frameworks,https://github.com/nubank/fklearn,https://github.com/nubank/fklearn,Apache-2.0,2019-02-27 14:32:57.000000,2021-02-09 20:46:53.000000,2021-02-09 20:46:53.000000,149,19.0,19.0,1302,117.0,fklearn: Functional Machine Learning.,37.0,23,True,2021-02-09 17:12:04.000000,1.22.0,20.0,fklearn,,,,,10.0,10.0,https://pypi.org/project/fklearn,2021-02-09 17:12:04.000000,,1964.0,1964.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n429,TextAttack,QData/TextAttack,,adversarial,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000000,2021-02-16 08:52:00.000000,2021-02-15 15:32:18.000000,133,26.0,82.0,1248,1932.0,\"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP.\",31.0,23,True,2020-12-27 05:23:02.000000,0.2.15,35.0,textattack,,,,,17.0,17.0,https://pypi.org/project/textattack,2020-12-27 05:23:02.000000,0.0,805.0,805.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n430,modAL,modAL-python/modAL,,others,https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000000,2021-02-16 14:37:11.000000,2021-01-07 09:40:40.000000,179,45.0,50.0,1099,648.0,A modular active learning framework for Python.,14.0,23,True,2021-01-07 09:47:49.000000,0.4.1,12.0,modAL,,,,['sklearn'],57.0,49.0,https://pypi.org/project/modAL,2021-01-07 09:47:49.000000,8.0,1034.0,1034.0,,,,,,,,3.0,9.0,,,,,,,,,,,,,,,,,,,,,,\n431,Optimus,ironmussa/Optimus,,data-pipelines,https://github.com/ironmussa/Optimus,https://github.com/ironmussa/Optimus,Apache-2.0,2017-07-13 02:31:18.000000,2021-02-18 02:03:28.000000,2021-02-18 02:03:18.000000,190,139.0,165.0,977,3520.0,\"Agile Data Preparation Workflows madeeasy with dask, cudf, dask_cudf and pyspark.\",21.0,23,True,2020-07-19 03:05:40.000000,2.2.32,85.0,optimuspyspark,,,,['spark'],13.0,13.0,https://pypi.org/project/optimuspyspark,2019-05-30 02:22:54.000000,,3172.0,3172.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n432,fancyimpute,iskandr/fancyimpute,,sklearn-utils,https://github.com/iskandr/fancyimpute,https://github.com/iskandr/fancyimpute,Apache-2.0,2015-11-05 23:39:34.000000,2021-01-25 00:27:52.000000,2021-01-25 00:27:51.000000,144,4.0,103.0,928,198.0,Multivariate imputation and matrix completion algorithms implemented in Python.,11.0,23,True,2020-07-16 21:36:59.000000,0.5.5,26.0,fancyimpute,,,,['sklearn'],754.0,712.0,https://pypi.org/project/fancyimpute,2020-07-16 21:36:59.000000,42.0,9486.0,9486.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n433,ChainerRL,chainer/chainerrl,,reinforcement-learning,https://github.com/chainer/chainerrl,https://github.com/chainer/chainerrl,MIT,2017-01-30 04:58:15.000000,2020-12-09 06:26:53.000000,2020-12-09 06:26:52.000000,204,75.0,146.0,926,3458.0,ChainerRL is a deep reinforcement learning library built on top of Chainer.,29.0,23,True,2020-02-14 05:35:56.000000,0.8.0,10.0,chainerrl,,,,,104.0,90.0,https://pypi.org/project/chainerrl,2020-02-14 05:35:56.000000,14.0,353.0,353.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n434,luminol,linkedin/luminol,,time-series-data,https://github.com/linkedin/luminol,https://github.com/linkedin/luminol,Apache-2.0,2015-11-18 23:16:33.000000,2020-12-27 09:54:35.000000,2018-01-09 07:46:55.000000,179,24.0,12.0,879,69.0,Anomaly Detection and Correlation library.,8.0,23,False,2016-01-20 01:01:44.000000,0.3.1,5.0,luminol,,,,,51.0,37.0,https://pypi.org/project/luminol,2017-12-11 06:04:15.000000,14.0,158810.0,158810.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n435,SciSpacy,allenai/scispacy,,nlp,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52.000000,2021-02-17 17:35:33.000000,2021-02-17 17:35:30.000000,125,19.0,136.0,831,920.0,A full spaCy pipeline and models for scientific/biomedical documents.,17.0,23,True,2021-02-12 22:56:06.000000,0.4.0,10.0,scispacy,,,,,218.0,206.0,https://pypi.org/project/scispacy,2021-02-12 22:56:06.000000,12.0,7971.0,7971.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n436,openTSNE,pavlin-policar/openTSNE,,data-viz,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000000,2021-01-08 15:19:01.004000,2021-01-08 11:25:11.000000,82,5.0,68.0,751,509.0,\"Extensible, parallel implementations of t-SNE.\",10.0,23,True,2021-01-08 12:20:43.000000,0.5.1,19.0,opentsne,conda-forge/opentsne,,,,186.0,182.0,https://pypi.org/project/opentsne,2021-01-08 12:20:43.000000,4.0,9915.0,12902.0,https://anaconda.org/conda-forge/opentsne,2021-01-08 15:19:01.004000,77665.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n437,PySwarms,ljvmiranda921/pyswarms,,others,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45.000000,2021-02-18 11:43:49.000000,2021-01-03 04:18:07.000000,231,16.0,154.0,728,405.0,A research toolkit for particle swarm optimization in Python.,42.0,23,True,2020-11-14 05:18:38.000000,.1.2.0,20.0,pyswarms,,,,,91.0,91.0,https://pypi.org/project/pyswarms,2021-01-03 21:34:15.000000,0.0,2022.0,2022.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n438,GPyOpt,SheffieldML/GPyOpt,,hyperopt,https://github.com/SheffieldML/GPyOpt,https://github.com/SheffieldML/GPyOpt,BSD-3-Clause,2014-08-13 09:58:25.000000,2020-11-17 10:32:02.000000,2020-11-05 15:16:04.000000,218,100.0,186.0,713,514.0,Gaussian Process Optimization using GPy.,49.0,23,True,2020-03-19 21:21:18.000000,1.2.6,11.0,gpyopt,,,,,212.0,176.0,https://pypi.org/project/gpyopt,2020-03-19 11:37:45.000000,36.0,3762.0,3762.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n439,CellProfiler,CellProfiler/CellProfiler,,image,https://github.com/CellProfiler/CellProfiler,https://github.com/CellProfiler/CellProfiler,BSD-3-Clause,2011-04-05 12:10:12.000000,2021-02-16 21:16:20.000000,2021-02-16 21:14:45.000000,271,156.0,2781.0,540,15303.0,An open-source application for biological image analysis.,119.0,23,True,2021-02-16 21:59:54.000000,4.1.3,41.0,cellprofiler,,,,,3.0,3.0,https://pypi.org/project/cellprofiler,2017-09-04 18:03:36.000000,,163.0,170.0,,,,,,,,3.0,666.0,,,,,,,,,,,,,,,,,,,,,,\n440,PDPbox,SauceCat/PDPbox,,data-viz,https://github.com/SauceCat/PDPbox,https://github.com/SauceCat/PDPbox,MIT,2017-06-26 08:01:54.000000,2021-01-13 08:25:09.000000,2018-12-08 10:06:13.000000,84,37.0,17.0,531,223.0,python partial dependence plot toolbox.,7.0,23,False,2018-07-23 13:33:35.000000,0.2.0,2.0,pdpbox,conda-forge/pdpbox,,,,348.0,314.0,https://pypi.org/project/pdpbox,2018-07-23 13:33:35.000000,34.0,26886.0,27197.0,https://anaconda.org/conda-forge/pdpbox,2019-07-17 16:58:38.379000,5915.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n441,combo,yzhao062/combo,,sklearn-utils,https://github.com/yzhao062/combo,https://github.com/yzhao062/combo,BSD-2-Clause,2019-07-14 01:13:36.000000,2020-12-23 14:27:11.000000,2020-12-23 14:27:05.000000,81,8.0,3.0,473,201.0,(AAAI' 20) A Python Toolbox for Machine Learning Model Combination.,1.0,23,True,2020-12-23 02:21:49.000000,0.1.2,12.0,combo,,,,\"['sklearn', 'xgboost']\",275.0,275.0,https://pypi.org/project/combo,2020-12-23 02:21:49.000000,0.0,51109.0,51109.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n442,Caer,jasmcaus/caer,,image,https://github.com/jasmcaus/caer,https://github.com/jasmcaus/caer,MIT,2020-08-06 18:36:14.000000,2021-02-08 18:17:31.000000,2021-02-08 18:17:22.000000,62,5.0,8.0,430,4867.0,\"A lightweight Computer Vision library. Scale your models, not boilerplate.\",4.0,23,True,2021-01-28 14:06:10.000000,1.9.8,109.0,caer,,,https://caer.rtfd.io,,0.0,,https://pypi.org/project/caer,2021-01-28 14:06:10.000000,0.0,611210.0,611212.0,,,,,,,,3.0,14.0,4.0,,,,,,,,,,,,,,,,,,,,,\n443,python-ternary,marcharper/python-ternary,,data-viz,https://github.com/marcharper/python-ternary,https://github.com/marcharper/python-ternary,MIT,2012-08-07 23:48:55.000000,2021-02-17 22:38:55.625000,2021-02-17 18:21:08.000000,111,24.0,78.0,391,384.0,Ternary plotting library for python with matplotlib.,25.0,23,True,2021-02-17 18:38:15.000000,1.0.8,11.0,python-ternary,conda-forge/python-ternary,,,,79.0,59.0,https://pypi.org/project/python-ternary,2021-02-17 18:38:15.000000,20.0,658.0,1498.0,https://anaconda.org/conda-forge/python-ternary,2021-02-17 22:38:55.625000,48741.0,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,,,,,\n444,findspark,minrk/findspark,,others,https://github.com/minrk/findspark,https://github.com/minrk/findspark,BSD-3-Clause,2015-06-12 21:34:06.000000,2020-06-08 09:32:35.000000,2020-06-08 09:31:58.000000,66,11.0,8.0,387,67.0,Find pyspark to make it importable.,14.0,23,True,2020-06-08 09:32:23.000000,1.4.2,12.0,findspark,conda-forge/findspark,,,['spark'],1720.0,1518.0,https://pypi.org/project/findspark,2020-06-08 09:32:23.000000,202.0,405039.0,413876.0,https://anaconda.org/conda-forge/findspark,2018-07-06 12:57:33.438000,494904.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n445,messytables,okfn/messytables,,data-loading,https://github.com/okfn/messytables,https://github.com/okfn/messytables,MIT,2011-07-27 18:08:21.000000,2021-01-07 22:24:38.000000,2019-11-13 07:35:33.000000,97,30.0,55.0,361,601.0,Tools for parsing messy tabular data. This is now superseded by https://github.com/frictionlessdata/tabulator-py.,44.0,23,False,2017-02-09 12:37:47.000000,0.15.2,26.0,messytables,,,,,406.0,174.0,https://pypi.org/project/messytables,2017-02-09 12:37:47.000000,232.0,4602.0,4602.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n446,GeoViews,holoviz/geoviews,,geospatial-data,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000000,2020-11-13 20:59:34.000000,2020-09-21 16:31:16.000000,60,79.0,169.0,331,635.0,\"Simple, concise geographical visualization in Python.\",22.0,23,True,2020-09-23 18:59:07.000000,1.8.0,21.0,geoviews,conda-forge/geoviews,,,,225.0,205.0,https://pypi.org/project/geoviews,2020-03-30 19:17:21.000000,20.0,1543.0,3186.0,https://anaconda.org/conda-forge/geoviews,2020-09-23 20:06:48.808000,57507.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n447,pySBD,nipunsadvilkar/pySBD,,nlp,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20.000000,2021-02-11 16:42:37.000000,2021-02-11 16:40:18.000000,26,4.0,47.0,277,279.0,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,6.0,23,True,2021-02-11 16:42:37.000000,0.3.4,15.0,pysbd,,,,,105.0,103.0,https://pypi.org/project/pysbd,2020-10-08 11:33:56.000000,2.0,9456.0,9456.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n448,pysparkling,svenkreiss/pysparkling,,data-pipelines,https://github.com/svenkreiss/pysparkling,https://github.com/svenkreiss/pysparkling,MIT,2015-05-09 19:23:20.000000,2021-02-12 10:10:10.000000,2021-02-12 10:10:10.000000,43,5.0,21.0,232,1525.0,A pure Python implementation of Apache Spark's RDD and DStream interfaces.,10.0,23,True,2021-01-10 21:15:26.000000,0.6.1,68.0,pysparkling,,,,,71.0,57.0,https://pypi.org/project/pysparkling,2021-01-10 21:15:26.000000,14.0,5320.0,5320.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n449,PaddleHub,PaddlePaddle/PaddleHub,,others,https://github.com/PaddlePaddle/PaddleHub,https://github.com/PaddlePaddle/PaddleHub,Apache-2.0,2018-12-21 06:00:48.000000,2021-02-18 12:58:47.000000,2021-02-04 07:44:12.000000,1022,288.0,386.0,4557,,\"Awesome pre-trained models toolkit based on PaddlePaddle.200+ models including Image, Text, Audio and Video with Easy..\",33.0,22,True,2021-02-05 07:45:45.000000,2.0.0,40.0,paddlehub,,,,['paddle'],89.0,89.0,https://pypi.org/project/paddlehub,2021-02-05 07:35:31.000000,0.0,777.0,796.0,,,,,,,,3.0,439.0,,,,,,,,,,,,,,,,,,,,,,\n450,neon,NervanaSystems/neon,,ml-frameworks,https://github.com/NervanaSystems/neon,https://github.com/NervanaSystems/neon,Apache-2.0,2014-10-16 01:00:17.000000,2020-12-23 01:21:42.000000,2019-05-22 18:27:54.000000,848,87.0,305.0,3850,1118.0,Intel Nervana reference deep learning framework committed to best performance on all hardware.,109.0,22,False,2018-01-05 23:25:04.000000,2.6.0,32.0,nervananeon,,,,,42.0,41.0,https://pypi.org/project/nervananeon,2018-01-05 23:25:04.000000,1.0,72.0,75.0,,,,,,,,3.0,255.0,,,,,,,,,,,,,,,,,,,,,,\n451,Image Deduplicator,idealo/imagededup,,image,https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54.000000,2020-12-21 13:30:38.000000,2020-11-23 17:40:40.000000,279,17.0,53.0,3384,460.0,Finding duplicate images made easy!.,9.0,22,True,2020-11-23 17:55:24.000000,0.2.4,9.0,imagededup,,,,['tensorflow'],11.0,9.0,https://pypi.org/project/imagededup,2020-11-22 21:09:36.000000,2.0,930.0,930.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n452,analytics-zoo,intel-analytics/analytics-zoo,,distributed-ml,https://github.com/intel-analytics/analytics-zoo,https://github.com/intel-analytics/analytics-zoo,Apache-2.0,2017-05-05 02:27:30.000000,2021-02-18 14:05:19.000000,2021-02-18 13:01:07.000000,634,438.0,536.0,2198,2583.0,\"Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray.\",83.0,22,True,2020-12-17 03:25:36.000000,0.9.0,52.0,analytics-zoo,,,,['spark'],2.0,2.0,https://pypi.org/project/analytics-zoo,2021-02-14 16:20:13.000000,,436.0,436.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n453,D-Tale,man-group/dtale,,data-viz,https://github.com/man-group/dtale,https://github.com/man-group/dtale,LGPL-2.1,2019-07-15 09:34:48.000000,2021-02-18 05:03:14.000000,2021-02-18 05:03:06.000000,143,38.0,272.0,2058,345.0,Visualizer for pandas data structures.,13.0,22,True,2021-02-15 05:02:24.000000,1.35.0,102.0,dtale,conda-forge/dtale,,,\"['pandas', 'jupyter']\",99.0,99.0,https://pypi.org/project/dtale,2021-02-15 04:54:44.000000,0.0,3411.0,6406.0,https://anaconda.org/conda-forge/dtale,2021-02-15 05:10:04.311000,35943.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n454,TF Ranking,tensorflow/ranking,,recommender-systems,https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57.000000,2021-02-04 05:28:32.000000,2021-02-04 05:28:28.000000,365,26.0,201.0,2043,325.0,Learning to Rank in TensorFlow.,20.0,22,True,2021-02-02 16:58:47.000000,0.3.3,15.0,tensorflow_ranking,,,,['tensorflow'],1.0,,https://pypi.org/project/tensorflow_ranking,2021-01-30 02:05:46.000000,1.0,13282.0,13282.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n455,PandasGUI,adamerose/pandasgui,,data-viz,https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT,2019-06-12 02:19:42.000000,2021-02-18 03:31:20.000000,2021-02-18 03:31:20.000000,119,14.0,61.0,2037,403.0,A GUI for Pandas DataFrames.,8.0,22,True,2021-02-12 17:30:50.000000,0.2.9,39.0,pandasgui,,,,['pandas'],42.0,41.0,https://pypi.org/project/pandasgui,2021-02-12 17:30:50.000000,1.0,1170.0,1170.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n456,Gradio,gradio-app/gradio,,others,https://github.com/gradio-app/gradio,https://github.com/gradio-app/gradio,Apache-2.0,2018-12-19 08:24:04.000000,2021-02-17 18:03:52.000000,2021-02-17 18:03:52.000000,129,9.0,67.0,2037,928.0,\"Wrap UIs around any model, share with anyone.\",16.0,22,True,2021-01-29 20:19:46.000000,1.5.3,83.0,gradio,,,,,74.0,72.0,https://pypi.org/project/gradio,2021-01-29 20:19:46.000000,2.0,838.0,838.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n457,knockknock,huggingface/knockknock,,ml-experiments,https://github.com/huggingface/knockknock,https://github.com/huggingface/knockknock,MIT,2019-03-20 13:08:55.000000,2021-01-09 06:11:00.000000,2020-03-16 04:26:47.000000,159,12.0,21.0,1980,75.0,Knock Knock: Get notified when your training ends with only two additional lines of code.,18.0,22,True,2020-03-04 04:15:47.000000,0.1.8,10.0,knockknock,conda-forge/knockknock,,,,141.0,138.0,https://pypi.org/project/knockknock,2020-03-16 14:30:23.000000,3.0,1570.0,1915.0,https://anaconda.org/conda-forge/knockknock,2020-03-17 01:52:16.317000,5522.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n458,scikit-opt,guofei9987/scikit-opt,,sklearn-utils,https://github.com/guofei9987/scikit-opt,https://github.com/guofei9987/scikit-opt,MIT,2017-12-05 10:20:41.000000,2021-02-02 07:04:40.000000,2021-02-02 07:04:39.000000,459,24.0,62.0,1956,238.0,\"Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune..\",8.0,22,True,2020-11-20 12:55:12.000000,0.6.1,18.0,scikit-opt,,,,['sklearn'],28.0,25.0,https://pypi.org/project/scikit-opt,2020-11-20 12:52:22.000000,3.0,371.0,371.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n459,MONAI,Project-MONAI/MONAI,,medical-data,https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000000,2021-02-18 10:15:29.000000,2021-02-18 10:12:08.000000,309,78.0,619.0,1788,773.0,AI Toolkit for Healthcare Imaging.,53.0,22,True,2020-12-15 15:21:13.000000,0.4.0,15.0,monai,,,,['pytorch'],,,https://pypi.org/project/monai,2020-12-15 15:16:56.000000,,2500.0,2500.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n460,m2cgen,BayesWitnesses/m2cgen,,model-serialisation,https://github.com/BayesWitnesses/m2cgen,https://github.com/BayesWitnesses/m2cgen,MIT,2019-01-13 02:32:55.000000,2021-02-18 05:15:15.000000,2020-10-07 17:33:12.000000,153,36.0,36.0,1755,227.0,\"Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart,..\",12.0,22,True,2020-09-18 19:17:26.000000,0.9.0,12.0,m2cgen,,,,,5.0,5.0,https://pypi.org/project/m2cgen,2020-09-18 19:16:17.000000,,5983.0,5983.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n461,DDSP,magenta/ddsp,,audio,https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27.000000,2021-02-16 20:54:41.000000,2021-02-16 20:54:33.000000,169,15.0,90.0,1753,351.0,DDSP: Differentiable Digital Signal Processing.,24.0,22,True,2021-01-14 01:59:27.000000,1.0.1,28.0,ddsp,,,,['tensorflow'],5.0,5.0,https://pypi.org/project/ddsp,2021-01-14 01:59:27.000000,,769.0,769.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n462,Essentia,MTG/essentia,,audio,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000000,2021-02-17 13:12:43.000000,2021-02-11 17:07:38.000000,397,307.0,567.0,1731,2739.0,\"C++ library for audio and music analysis, description and synthesis, including Python bindings.\",70.0,22,False,2015-03-31 16:33:30.000000,2.0,9.0,essentia,,,,,168.0,158.0,https://pypi.org/project/essentia,2021-01-13 00:12:18.000000,10.0,939.0,939.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n463,vidgear,abhiTronix/vidgear,,image,https://github.com/abhiTronix/vidgear,https://github.com/abhiTronix/vidgear,Apache-2.0,2019-03-17 02:42:42.000000,2021-02-05 11:26:46.000000,2021-01-01 04:26:42.000000,113,5.0,131.0,1639,547.0,High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features.,5.0,22,True,2021-01-01 07:57:09.000000,0.2.0,12.0,vidgear,,,,,87.0,85.0,https://pypi.org/project/vidgear,2021-01-01 07:57:09.000000,2.0,773.0,786.0,,,,,,,,3.0,311.0,,,,,,,,,,,,,,,,,,,,,,\n464,scattertext,JasonKessler/scattertext,,nlp,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12.000000,2021-02-08 22:51:45.000000,2021-02-08 22:51:45.000000,204,17.0,57.0,1510,339.0,Beautiful visualizations of how language differs among document types.,10.0,22,True,2017-03-13 05:31:21.000000,0.0.2.4.4,129.0,scattertext,conda-forge/scattertext,,,,162.0,154.0,https://pypi.org/project/scattertext,2021-01-18 09:01:42.000000,8.0,1382.0,2435.0,https://anaconda.org/conda-forge/scattertext,2021-01-18 15:00:35.497000,44245.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n465,cleanlab,cgnorthcutt/cleanlab,,others,https://github.com/cgnorthcutt/cleanlab,https://github.com/cgnorthcutt/cleanlab,MIT,2018-05-11 01:55:21.000000,2021-02-14 20:40:18.000000,2021-02-14 20:40:18.000000,157,17.0,35.0,1479,717.0,The standard package for machine learning with noisy labels and finding mislabeled data in Python.,5.0,22,True,2020-02-17 07:33:06.000000,0.1.1,15.0,cleanlab,,,,,10.0,10.0,https://pypi.org/project/cleanlab,2020-02-17 07:33:06.000000,,2091.0,2091.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n466,Magnitude,plasticityai/magnitude,,nn-search,https://github.com/plasticityai/magnitude,https://github.com/plasticityai/magnitude,MIT,2018-02-24 07:28:16.000000,2020-07-17 20:19:50.000000,2020-07-17 20:19:46.000000,98,26.0,50.0,1386,350.0,\"A fast, efficient universal vector embedding utility package.\",4.0,22,True,2020-05-25 11:26:36.000000,0.1.143,128.0,pymagnitude,,,,,191.0,177.0,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36.000000,14.0,2095.0,2095.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n467,anaGo,Hironsan/anago,,nlp,https://github.com/Hironsan/anago,https://github.com/Hironsan/anago,MIT,2017-06-26 21:28:36.000000,2021-02-02 21:42:33.000000,2019-10-23 03:19:52.000000,354,36.0,71.0,1381,296.0,\"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.\",11.0,22,False,2018-07-17 01:59:21.000000,1.0.8,14.0,anago,,,,['tensorflow'],30.0,25.0,https://pypi.org/project/anago,2018-07-17 01:59:21.000000,5.0,2323.0,2323.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n468,metric-learn,scikit-learn-contrib/metric-learn,,others,https://github.com/scikit-learn-contrib/metric-learn,https://github.com/scikit-learn-contrib/metric-learn,MIT,2013-11-02 08:29:47.000000,2020-08-04 01:35:49.000000,2020-08-04 01:35:39.000000,205,47.0,109.0,1111,263.0,Metric learning algorithms in Python.,19.0,22,True,2020-07-02 12:59:23.000000,0.6.2,10.0,metric-learn,,,,['sklearn'],137.0,119.0,https://pypi.org/project/metric-learn,2020-07-02 12:59:23.000000,18.0,6991.0,6991.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n469,FARM,deepset-ai/FARM,,nlp,https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12.000000,2021-02-17 15:16:40.000000,2021-02-12 20:27:51.000000,157,32.0,301.0,1099,533.0,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,30.0,22,True,2021-01-20 16:57:05.000000,0.6.2,22.0,farm,,,,['pytorch'],2.0,,https://pypi.org/project/farm,2021-01-20 16:51:38.000000,2.0,2598.0,2598.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n470,garage,rlworkgroup/garage,,reinforcement-learning,https://github.com/rlworkgroup/garage,https://github.com/rlworkgroup/garage,MIT,2018-06-10 21:31:23.000000,2021-02-18 03:49:32.000000,2021-02-16 20:40:35.000000,198,182.0,775.0,1071,1195.0,A toolkit for reproducible reinforcement learning research.,73.0,22,True,2020-09-17 07:34:11.000000,2020.6.3,21.0,garage,,,,['tensorflow'],13.0,13.0,https://pypi.org/project/garage,2020-10-02 17:16:03.000000,0.0,148.0,148.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n471,pycm,sepandhaghighi/pycm,,others,https://github.com/sepandhaghighi/pycm,https://github.com/sepandhaghighi/pycm,MIT,2018-01-22 19:46:54.000000,2021-02-17 17:26:03.000000,2020-10-26 15:51:32.000000,91,17.0,150.0,1054,2508.0,Multi-class confusion matrix library in Python.,14.0,22,True,2020-10-26 16:31:56.000000,3.0,34.0,pycm,,,,,97.0,87.0,https://pypi.org/project/pycm,2020-10-26 16:32:30.000000,10.0,2422.0,2422.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n472,bt,pmorissette/bt,,financial-data,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28.000000,2021-02-15 21:43:51.000000,2021-02-15 21:43:51.000000,264,53.0,170.0,962,407.0,bt - flexible backtesting for Python.,20.0,22,True,2021-02-01 05:24:40.000000,0.2.8,24.0,bt,,,,,65.0,45.0,https://pypi.org/project/bt,2021-02-01 05:24:40.000000,20.0,895.0,895.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n473,pandasql,yhat/pandasql,,data-containers,https://github.com/yhat/pandasql,https://github.com/yhat/pandasql,MIT,2013-02-18 01:53:56.000000,2020-08-14 13:00:13.000000,2017-02-01 15:40:30.000000,141,44.0,23.0,941,127.0,sqldf for pandas.,15.0,22,False,2016-04-20 21:52:36.000000,0.7.3,31.0,pandasql,,,,['pandas'],693.0,644.0,https://pypi.org/project/pandasql,2016-04-20 21:52:36.000000,49.0,121316.0,121316.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n474,Alibi,SeldonIO/alibi,,interpretability,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Apache-2.0,2019-02-26 10:10:56.000000,2021-02-18 12:55:04.000000,2021-02-18 12:55:04.000000,109,69.0,81.0,896,239.0,Algorithms for monitoring and explaining machine learning models.,11.0,22,True,2021-02-18 12:50:04.000000,0.5.6,16.0,alibi,,,,,79.0,61.0,https://pypi.org/project/alibi,2021-02-18 12:48:56.000000,18.0,2400.0,2400.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n475,keract,philipperemy/keract,,interpretability,https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57.000000,2021-02-04 06:05:42.000000,2021-01-24 05:36:29.000000,175,2.0,75.0,853,359.0,Activation Maps (Layers Outputs) and Gradients in Keras.,15.0,22,True,2021-01-22 09:01:30.000000,4.4.0,37.0,keract,,,,['tensorflow'],75.0,70.0,https://pypi.org/project/keract,2021-01-22 09:01:30.000000,5.0,726.0,726.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n476,FinTA,peerchemist/finta,,financial-data,https://github.com/peerchemist/finta,https://github.com/peerchemist/finta,LGPL-3.0,2016-09-01 21:02:46.000000,2021-01-28 17:17:10.000000,2021-01-28 17:16:53.000000,291,9.0,59.0,845,368.0,Common financial technical indicators implemented in Pandas.,22.0,22,False,2020-10-21 11:36:19.000000,1.2,19.0,finta,,,,,59.0,55.0,https://pypi.org/project/finta,2020-10-21 11:39:44.000000,4.0,2563.0,2563.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n477,scikit-cuda,lebedov/scikit-cuda,,gpu-utilities,https://github.com/lebedov/scikit-cuda,https://github.com/lebedov/scikit-cuda,BSD-3-Clause,2010-09-27 02:02:07.000000,2021-02-17 17:00:37.000000,2021-02-17 17:00:27.000000,155,39.0,164.0,799,1027.0,Python interface to GPU-powered libraries.,44.0,22,True,2019-05-27 00:29:00.000000,0.5.3,7.0,scikit-cuda,,,,,145.0,114.0,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00.000000,31.0,501.0,501.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n478,minisom,JustGlowing/minisom,,others,https://github.com/JustGlowing/minisom,https://github.com/JustGlowing/minisom,CC-BY-3.0,2013-07-03 10:10:06.000000,2021-01-19 16:04:54.000000,2021-01-19 16:04:54.000000,245,8.0,62.0,772,425.0,MiniSom is a minimalistic implementation of the Self Organizing Maps.,20.0,22,False,2020-11-03 08:23:06.000000,2.2.7,14.0,minisom,,,,,151.0,147.0,https://pypi.org/project/minisom,2020-06-19 06:29:59.000000,4.0,2135.0,2135.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n479,iNNvestigate,albermax/innvestigate,,interpretability,https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20.000000,2020-12-30 15:22:24.000000,2020-10-16 15:26:56.000000,170,73.0,128.0,771,882.0,A toolbox to iNNvestigate neural networks' predictions!.,18.0,22,True,2020-11-14 11:35:59.000000,1.0.9,2.0,innvestigate,,,,['tensorflow'],51.0,50.0,https://pypi.org/project/innvestigate,2020-11-14 11:35:59.000000,1.0,262.0,262.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n480,Explainability 360,Trusted-AI/AIX360,,interpretability,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48.000000,2020-12-04 16:51:14.000000,2020-12-04 16:49:39.000000,168,26.0,18.0,769,305.0,Interpretability and explainability of data and machine learning models.,27.0,22,True,2020-10-28 09:32:21.000000,0.2.1,4.0,aix360,,,,,14.0,13.0,https://pypi.org/project/aix360,2020-10-28 09:18:17.000000,1.0,453.0,453.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n481,ogb,snap-stanford/ogb,,graph,https://github.com/snap-stanford/ogb,https://github.com/snap-stanford/ogb,MIT,2019-11-22 22:13:57.000000,2021-02-17 00:08:38.000000,2021-01-23 19:47:19.000000,115,,91.0,740,397.0,\"Benchmark datasets, data loaders, and evaluators for graph machine learning.\",12.0,22,True,2020-12-29 18:13:08.000000,1.2.4,10.0,ogb,,,,,55.0,55.0,https://pypi.org/project/ogb,2020-12-29 18:08:55.000000,0.0,1690.0,1690.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n482,Opacus,pytorch/opacus,,privacy-ml,https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000000,2021-02-17 18:20:51.000000,2021-02-05 20:18:45.000000,95,9.0,53.0,735,214.0,Training PyTorch models with differential privacy.,24.0,22,True,2020-12-17 17:30:40.000000,0.11.0,6.0,opacus,,,,['pytorch'],13.0,13.0,https://pypi.org/project/opacus,2020-12-17 17:30:40.000000,,2381.0,2384.0,,,,,,,,2.0,30.0,,,,,,,,,,,,,,,,,,,,,,\n483,Darts,unit8co/darts,,time-series-data,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000000,2021-02-12 17:05:34.000000,2021-02-03 09:28:07.000000,93,21.0,46.0,729,314.0,A python library for easy manipulation and forecasting of time series.,23.0,22,True,2021-02-03 11:18:37.000000,0.6.1,10.0,u8darts,,unit8/darts,,,12.0,12.0,https://pypi.org/project/u8darts,2021-02-03 11:18:37.000000,,4059.0,4062.0,,,,https://hub.docker.com/r/unit8/darts,2021-02-03 09:39:53.970650,,101.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n484,kapre,keunwoochoi/kapre,,audio,https://github.com/keunwoochoi/kapre,https://github.com/keunwoochoi/kapre,MIT,2016-12-14 18:36:36.000000,2021-02-10 12:24:37.000000,2020-11-16 17:11:54.000000,129,5.0,80.0,714,188.0,kapre: Keras Audio Preprocessors.,13.0,22,True,2020-09-29 18:49:13.000000,0.3.4,21.0,kapre,,,,['tensorflow'],521.0,510.0,https://pypi.org/project/kapre,2020-09-29 18:49:13.000000,11.0,803.0,803.0,,,,,,,,3.0,8.0,,,,,,,,,,,,,,,,,,,,,,\n485,gmaps,pbugnion/gmaps,,geospatial-data,https://github.com/pbugnion/gmaps,https://github.com/pbugnion/gmaps,BSD-3-Clause,2014-12-01 09:12:06.000000,2020-10-13 07:09:18.000000,2019-07-22 06:22:45.000000,143,66.0,135.0,701,1380.0,Google maps for Jupyter notebooks.,16.0,22,False,2019-07-21 08:49:48.715000,0.9.0,94.0,gmaps,conda-forge/gmaps,,,['jupyter'],75.0,1.0,https://pypi.org/project/gmaps,2019-07-21 08:49:39.000000,74.0,2885.0,8863.0,https://anaconda.org/conda-forge/gmaps,2019-08-02 11:56:50.940000,206470.0,,,,,3.0,,,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715000,,1390.0,,,,,,,,,,,,,,,\n486,GPUtil,anderskm/gputil,,gpu-utilities,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43.000000,2020-10-01 05:42:49.000000,2019-08-16 09:00:15.000000,76,10.0,14.0,674,140.0,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,13.0,22,False,2018-12-18 09:12:13.000000,1.4.0,8.0,gputil,,,,,1103.0,1001.0,https://pypi.org/project/gputil,2018-12-18 09:12:13.000000,102.0,40031.0,40031.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n487,TreeInterpreter,andosa/treeinterpreter,,interpretability,https://github.com/andosa/treeinterpreter,https://github.com/andosa/treeinterpreter,BSD-3-Clause,2015-08-02 20:26:21.000000,2021-01-10 20:20:58.000000,2021-01-10 20:14:03.000000,133,25.0,3.0,641,35.0,Package for interpreting scikit-learn's decision tree and random forest predictions.,10.0,22,True,2021-01-10 20:12:39.000000,0.2.3,5.0,treeinterpreter,,,,['sklearn'],138.0,120.0,https://pypi.org/project/treeinterpreter,2021-01-10 20:12:39.000000,18.0,52494.0,52494.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n488,Node2Vec,eliorc/node2vec,,graph,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000000,2021-01-09 08:40:34.000000,2021-01-09 08:39:26.000000,166,1.0,47.0,636,48.0,Implementation of the node2vec algorithm.,7.0,22,True,2021-01-09 08:40:34.000000,0.4.1,13.0,node2vec,conda-forge/node2vec,,,,123.0,113.0,https://pypi.org/project/node2vec,2021-01-09 08:38:24.000000,10.0,2889.0,3366.0,https://anaconda.org/conda-forge/node2vec,2020-04-25 22:41:13.714000,15758.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n489,pingouin,raphaelvallat/pingouin,,probabilistics,https://github.com/raphaelvallat/pingouin,https://github.com/raphaelvallat/pingouin,GPL-3.0,2018-04-01 01:10:22.000000,2021-02-16 07:48:18.164000,2021-02-16 05:30:03.000000,53,12.0,112.0,635,1070.0,Statistical package in Python based on Pandas.,17.0,22,False,2021-02-16 05:46:44.000000,0.3.10,31.0,pingouin,conda-forge/pingouin,,,,179.0,169.0,https://pypi.org/project/pingouin,2021-01-19 00:29:57.000000,10.0,10163.0,11367.0,https://anaconda.org/conda-forge/pingouin,2021-02-16 07:48:18.164000,31322.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n490,scikit-multilearn,scikit-multilearn/scikit-multilearn,,sklearn-utils,https://github.com/scikit-multilearn/scikit-multilearn,https://github.com/scikit-multilearn/scikit-multilearn,BSD-2-Clause,2014-04-30 13:05:44.000000,2020-06-30 10:19:46.000000,2019-05-21 11:29:06.000000,118,64.0,92.0,629,487.0,A scikit-learn based module for multi-label et. al. classification.,15.0,22,False,2018-12-10 16:24:47.000000,0.2.0,6.0,scikit-multilearn,,,,['sklearn'],360.0,357.0,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47.000000,3.0,28726.0,28726.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n491,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,,data-viz,https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14.000000,2021-01-27 21:04:48.000000,2021-01-27 20:56:22.000000,78,21.0,53.0,614,262.0,Bokeh Plotting Backend for Pandas and GeoPandas.,11.0,22,True,2021-01-27 21:04:48.000000,0.5.3,14.0,pandas-bokeh,,,,['pandas'],140.0,130.0,https://pypi.org/project/pandas-bokeh,2021-01-27 21:04:48.000000,10.0,3988.0,3988.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n492,Prince,MaxHalford/prince,,others,https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000000,2021-02-10 22:15:20.000000,2021-01-11 21:14:58.000000,112,26.0,64.0,572,179.0,\"Python factor analysis library (PCA, CA, MCA, MFA, FAMD).\",9.0,22,True,2020-10-06 11:26:47.000000,0.7.1,41.0,prince,,,,['sklearn'],109.0,106.0,https://pypi.org/project/prince,2020-10-06 11:26:47.000000,3.0,5235.0,5235.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n493,Guild AI,guildai/guildai,,ml-experiments,https://github.com/guildai/guildai,https://github.com/guildai/guildai,Apache-2.0,2017-09-27 18:57:50.000000,2021-02-12 16:46:07.000000,2021-02-12 16:45:57.000000,41,96.0,154.0,542,4372.0,\"Experiment tracking, ML developer tools.\",16.0,22,True,2021-01-14 21:03:23.000000,0.7.2,164.0,guildai,,,,,26.0,26.0,https://pypi.org/project/guildai,2021-02-11 16:38:25.000000,,1306.0,1306.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n494,tinytag,devsnd/tinytag,,audio,https://github.com/devsnd/tinytag,https://github.com/devsnd/tinytag,MIT,2014-01-27 15:27:01.000000,2020-11-11 16:20:54.000000,2020-11-11 16:13:44.000000,78,14.0,60.0,435,308.0,\"Read music meta data and length of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA and Wave files with python 2 or 3.\",18.0,22,True,2020-11-05 12:44:52.000000,1.5.0,33.0,tinytag,,,,,399.0,303.0,https://pypi.org/project/tinytag,2020-11-05 12:44:52.000000,96.0,1920.0,1920.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n495,scikit-lego,koaning/scikit-lego,,sklearn-utils,https://github.com/koaning/scikit-lego,https://github.com/koaning/scikit-lego,MIT,2019-01-21 15:30:15.000000,2021-02-18 15:29:26.000000,2021-02-09 09:27:28.000000,67,22.0,182.0,415,372.0,Extra blocks for scikit-learn pipelines.,38.0,22,True,2020-10-25 11:24:35.000000,0.6.2,29.0,scikit-lego,conda-forge/scikit-lego,,,['sklearn'],16.0,16.0,https://pypi.org/project/scikit-lego,2021-01-04 09:19:31.000000,0.0,1146.0,1663.0,https://anaconda.org/conda-forge/scikit-lego,2020-11-02 09:40:04.581000,8274.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n496,random-forest-importances,parrt/random-forest-importances,,interpretability,https://github.com/parrt/random-forest-importances,https://github.com/parrt/random-forest-importances,MIT,2018-03-22 19:20:13.000000,2021-01-30 21:50:08.000000,2021-01-30 21:50:02.000000,93,4.0,27.0,411,249.0,Code to compute permutation and drop-column importances in Python scikit-learn models.,14.0,22,True,2021-01-28 23:23:17.000000,1.3.7,22.0,rfpimp,,,,['sklearn'],66.0,62.0,https://pypi.org/project/rfpimp,2021-01-28 23:19:33.000000,4.0,5243.0,5243.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n497,Cornac,PreferredAI/cornac,,recommender-systems,https://github.com/PreferredAI/cornac,https://github.com/PreferredAI/cornac,Apache-2.0,2018-07-17 06:31:35.000000,2021-01-29 10:40:32.008000,2021-01-29 07:00:14.000000,55,1.0,31.0,300,1162.0,A Comparative Framework for Multimodal Recommender Systems.,11.0,22,True,2021-01-29 08:08:54.000000,1.11.0,36.0,cornac,conda-forge/cornac,,,,28.0,27.0,https://pypi.org/project/cornac,2021-01-29 08:06:15.000000,1.0,726.0,5790.0,https://anaconda.org/conda-forge/cornac,2021-01-29 10:40:32.008000,106348.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n498,vega,vega/ipyvega,,data-viz,https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000000,2021-02-04 22:17:48.000000,2021-02-04 22:17:48.000000,46,8.0,79.0,294,480.0,IPython/Jupyter notebook module for Vega and Vega-Lite.,9.0,22,True,2020-05-15 23:40:02.000000,3.4.0,37.0,vega,conda-forge/vega,,,['jupyter'],148.0,,https://pypi.org/project/vega,2020-05-15 23:40:02.000000,148.0,10921.0,17788.0,https://anaconda.org/conda-forge/vega,2020-12-10 15:03:57.175000,384573.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n499,NIPY,nipy/nipy,,medical-data,https://github.com/nipy/nipy,https://github.com/nipy/nipy,BSD-3-Clause,2010-05-02 10:00:33.000000,2020-11-24 19:22:47.000000,2020-10-14 22:51:30.000000,123,43.0,104.0,290,6371.0,Neuroimaging in Python FMRI analysis package.,63.0,22,True,2018-02-19 14:14:08.000000,0.4.2,6.0,nipy,conda-forge/nipy,,,,82.0,,https://pypi.org/project/nipy,2018-02-19 14:14:08.000000,82.0,469.0,2147.0,https://anaconda.org/conda-forge/nipy,2020-05-04 19:38:04.112000,72196.0,,,,,2.0,,2.0,,,,,,,,,,,,,,,,,,,,,\n500,pyvips,libvips/pyvips,,image,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000000,2020-12-27 23:03:46.000000,2020-12-27 23:01:11.000000,25,73.0,137.0,289,390.0,python binding for libvips using cffi.,10.0,22,True,2020-12-18 11:44:57.000000,2.1.14,20.0,pyvips,conda-forge/pyvips,,,,169.0,147.0,https://pypi.org/project/pyvips,2020-12-18 11:44:57.000000,22.0,3056.0,3430.0,https://anaconda.org/conda-forge/pyvips,2020-10-14 10:02:33.542000,6735.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n501,SUOD,yzhao062/SUOD,,others,https://github.com/yzhao062/SUOD,https://github.com/yzhao062/SUOD,BSD-2-Clause,2019-11-20 00:23:54.000000,2021-01-19 14:42:08.000000,2021-01-19 14:42:01.000000,29,3.0,2.0,240,134.0,(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection).,1.0,22,True,2021-01-15 02:12:04.000000,0.0.6,7.0,suod,,,,,265.0,265.0,https://pypi.org/project/suod,2021-01-15 02:12:04.000000,,51185.0,51185.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n502,TensorFlow Cloud,tensorflow/cloud,,tensorflow-utils,https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59.000000,2021-02-17 21:42:12.000000,2021-02-13 03:40:02.000000,47,47.0,25.0,227,513.0,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,16.0,22,True,2021-02-09 23:34:43.000000,0.1.13,16.0,tensorflow-cloud,,,,['tensorflow'],23.0,23.0,https://pypi.org/project/tensorflow-cloud,2021-02-09 23:34:43.000000,0.0,58083.0,58083.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n503,Orion,Epistimio/orion,,hyperopt,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21.000000,2021-02-18 03:00:57.000000,2021-02-09 19:16:04.000000,35,25.0,106.0,181,2470.0,Asynchronous Distributed Hyperparameter Optimization.,18.0,22,True,2021-01-19 22:46:16.000000,0.1.12,13.0,orion,,,,,48.0,40.0,https://pypi.org/project/orion,2021-01-19 22:46:16.000000,8.0,834.0,834.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n504,pyexcel-xlsx,pyexcel/pyexcel-xlsx,,data-loading,https://github.com/pyexcel/pyexcel-xlsx,https://github.com/pyexcel/pyexcel-xlsx,BSD-3-Clause,2014-12-02 00:03:24.000000,2020-11-28 22:30:58.000000,2020-11-28 22:30:53.000000,16,12.0,20.0,85,267.0,\"A wrapper library to read, manipulate and write data in xlsx and xlsm format using openpyxl.\",4.0,22,False,2020-10-10 13:13:09.000000,0.6.0,30.0,pyexcel-xlsx,conda-forge/pyexcel-xlsx,,,,1424.0,1114.0,https://pypi.org/project/pyexcel-xlsx,2019-12-28 20:09:57.000000,310.0,25015.0,25392.0,https://anaconda.org/conda-forge/pyexcel-xlsx,2020-10-10 15:53:49.660000,15108.0,,,,,3.0,46.0,,,,,,,,,,,,,,,,,,,,,,\n505,openpyxl,,,data-loading,,https://openpyxl.readthedocs.io,MIT,2015-11-03 00:22:17.154000,2021-01-16 15:51:35.602000,,0,189.0,1430.0,17,,A Python library to read/write Excel 2010 xlsx/xlsm files.,,22,False,2021-01-14 19:15:29.000000,3.0.6,96.0,openpyxl,openpyxl,openpyxl/openpyxl-ci,https://openpyxl.readthedocs.io/en/stable/,,9770.0,,https://pypi.org/project/openpyxl,2021-01-14 19:00:13.000000,9770.0,4284313.0,4285020.0,https://anaconda.org/anaconda/openpyxl,2021-01-16 15:51:35.602000,43433.0,https://hub.docker.com/r/openpyxl/openpyxl-ci,2018-09-13 18:04:17.646261,,1178.0,3.0,,,,,,,,,0.0,,,,,,,,,,,,https://foss.heptapod.net/api/graphql::openpyxl/openpyxl,https://foss.heptapod.net/openpyxl/openpyxl,\n506,Recommenders,microsoft/recommenders,,recommender-systems,https://github.com/microsoft/recommenders,https://github.com/microsoft/recommenders,MIT,2018-09-19 10:06:07.000000,2021-02-18 07:40:05.000000,2021-02-11 11:15:36.000000,1575,107.0,435.0,9180,6334.0,Best Practices on Recommendation Systems.,89.0,21,True,2021-02-04 14:08:48.000000,2021.2,7.0,,,,,,1.0,1.0,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n507,cortex,cortexlabs/cortex,,model-serialisation,https://github.com/cortexlabs/cortex,https://github.com/cortexlabs/cortex,Apache-2.0,2019-01-24 04:43:14.000000,2021-02-18 13:23:20.000000,2021-02-17 19:15:18.000000,557,184.0,732.0,7335,1883.0,Model serving at scale.,18.0,21,True,2021-02-17 04:52:53.000000,0.29.0,47.0,cortex,,,,,0.0,,https://pypi.org/project/cortex,2021-02-17 04:49:33.000000,0.0,528.0,528.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n508,mace,XiaoMi/mace,,ml-frameworks,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12.000000,2021-02-18 11:53:08.000000,2021-02-18 11:53:08.000000,756,39.0,584.0,4299,3108.0,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,56.0,21,True,2021-01-12 02:48:05.000000,1.0.2,9.0,,,,,,,,,,,,43.0,,,,,,,,3.0,1299.0,,,,,,,,,,,,,,,,,,,,,,\n509,cuDF,rapidsai/cudf,,gpu-utilities,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000000,2021-02-18 08:57:27.000000,2021-02-17 23:53:07.000000,484,597.0,2810.0,3676,,cuDF - GPU DataFrame Library.,204.0,21,True,2020-12-10 17:28:54.000000,0.17.0,5.0,cudf,,,,,4.0,,https://pypi.org/project/cudf,2020-06-01 20:07:47.000000,4.0,422.0,422.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n510,DeepMatcher,anhaidgroup/deepmatcher,,nlp,https://github.com/anhaidgroup/deepmatcher,https://github.com/anhaidgroup/deepmatcher,BSD-3-Clause,2017-12-01 19:01:11.000000,2020-09-27 17:25:56.000000,2020-04-20 02:34:24.000000,1284,47.0,16.0,3451,169.0,Python package for performing Entity and Text Matching using Deep Learning.,7.0,21,True,2019-12-30 19:49:33.000000,0.1.1,9.0,deepmatcher,,,,,10.0,10.0,https://pypi.org/project/deepmatcher,2019-12-30 19:49:33.000000,,188.0,188.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n511,AdaNet,tensorflow/adanet,,hyperopt,https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24.000000,2020-07-09 21:03:28.000000,2020-07-09 20:51:04.000000,501,64.0,47.0,3232,439.0,Fast and flexible AutoML with learning guarantees.,26.0,21,True,2020-07-09 21:03:28.000000,0.9.0,13.0,adanet,,,,['tensorflow'],37.0,35.0,https://pypi.org/project/adanet,2020-07-09 21:03:28.000000,2.0,349.0,349.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n512,TensorTrade,tensortrade-org/tensortrade,,financial-data,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32.000000,2021-02-13 17:34:42.000000,2021-02-13 17:34:42.000000,648,27.0,139.0,2932,881.0,\"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.\",50.0,21,True,,,25.0,tensortrade,,,,,11.0,10.0,https://pypi.org/project/tensortrade,2020-08-24 18:26:46.000000,1.0,633.0,633.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n513,dpark,douban/dpark,,data-pipelines,https://github.com/douban/dpark,https://github.com/douban/dpark,BSD-3-Clause,2012-04-11 08:35:06.000000,2020-12-25 10:36:06.000000,2020-12-25 10:36:05.000000,554,,60.0,2646,1467.0,\"Python clone of Spark, a MapReduce alike framework in Python.\",35.0,21,True,2018-07-27 04:11:36.000000,0.5.0,19.0,dpark,,,,['spark'],4.0,3.0,https://pypi.org/project/dpark,2018-07-27 04:11:36.000000,1.0,32.0,32.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n514,NLP Architect,IntelLabs/nlp-architect,,nlp,https://github.com/IntelLabs/nlp-architect,https://github.com/IntelLabs/nlp-architect,Apache-2.0,2018-05-17 21:00:13.000000,2021-02-14 12:56:40.000000,2021-01-14 15:53:57.000000,394,16.0,104.0,2596,949.0,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,36.0,21,True,2020-11-17 12:32:37.000000,0.5.5.1,13.0,nlp-architect,,,,,7.0,7.0,https://pypi.org/project/nlp-architect,2020-04-12 11:34:38.000000,,218.0,218.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n515,Image Super-Resolution,idealo/image-super-resolution,,image,https://github.com/idealo/image-super-resolution,https://github.com/idealo/image-super-resolution,Apache-2.0,2018-11-26 13:41:13.000000,2020-11-11 15:09:20.000000,2020-11-11 15:09:19.000000,481,53.0,101.0,2542,138.0,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,9.0,21,True,2020-01-08 15:37:35.000000,2.2.0,11.0,ISR,,idealo/image-super-resolution-gpu,,['tensorflow'],48.0,40.0,https://pypi.org/project/ISR,2020-01-08 15:37:35.000000,8.0,1574.0,1578.0,,,,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,,129.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n516,gpt-2-simple,minimaxir/gpt-2-simple,,nlp,https://github.com/minimaxir/gpt-2-simple,https://github.com/minimaxir/gpt-2-simple,MIT,2019-04-13 20:00:52.000000,2021-02-14 21:13:20.000000,2021-02-14 19:39:38.000000,524,136.0,90.0,2496,133.0,Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts.,17.0,21,True,2021-02-14 21:13:20.000000,0.7.2,16.0,gpt-2-simple,,,,['tensorflow'],3.0,,https://pypi.org/project/gpt-2-simple,2021-02-14 20:20:24.000000,3.0,3766.0,3774.0,,,,,,,,3.0,193.0,,,,,,,,,,,,,,,,,,,,,,\n517,tensorflow-graphics,tensorflow/graphics,,image,https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44.000000,2021-02-17 18:28:26.000000,2021-02-16 19:36:59.000000,280,92.0,82.0,2398,617.0,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,33.0,21,True,2020-05-20 19:56:41.000000,2020.5.20,21.0,tensorflow-graphics,,,,['tensorflow'],3.0,,https://pypi.org/project/tensorflow-graphics,2020-05-20 19:56:41.000000,3.0,633.0,633.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n518,Luminoth,tryolabs/luminoth,,image,https://github.com/tryolabs/luminoth,https://github.com/tryolabs/luminoth,BSD-3-Clause,2017-02-16 15:07:46.000000,2020-12-24 21:01:24.000000,2020-01-07 20:53:25.000000,403,50.0,127.0,2340,838.0,Deep Learning toolkit for Computer Vision.,15.0,21,False,2018-11-09 21:35:17.000000,0.2.3,10.0,luminoth,,,,['tensorflow'],30.0,28.0,https://pypi.org/project/luminoth,2018-11-09 21:35:17.000000,2.0,382.0,662.0,,,,,,,,3.0,11224.0,,,,,,,,,,,,,,,,,,,,,,\n519,Porcupine,Picovoice/Porcupine,,audio,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000000,2021-02-10 20:18:05.000000,2021-02-10 20:17:59.000000,335,8.0,275.0,2331,382.0,On-device wake word detection powered by deep learning.,25.0,21,True,2020-12-02 15:34:40.000000,1.9,13.0,pvporcupine,,,,,4.0,4.0,https://pypi.org/project/pvporcupine,2020-10-02 19:16:49.000000,0.0,461.0,461.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n520,DeepVariant,google/deepvariant,,medical-data,https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000000,2021-02-15 17:27:37.000000,2020-12-14 23:35:27.000000,531,3.0,381.0,2184,1503.0,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,19.0,21,True,2020-12-07 17:56:31.000000,1.1.0,15.0,,bioconda/deepvariant,,,['tensorflow'],,,,,,,809.0,https://anaconda.org/bioconda/deepvariant,2020-09-05 07:25:11.429000,27022.0,,,,,3.0,3024.0,,,,,,,,,,,,,,,,,,,,,,\n521,Texar,asyml/texar,,nlp,https://github.com/asyml/texar,https://github.com/asyml/texar,Apache-2.0,2017-07-22 19:02:05.000000,2020-09-17 07:03:55.000000,2020-07-29 00:38:30.000000,329,32.0,126.0,2107,1719.0,\"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the..\",41.0,21,True,2019-11-19 04:11:18.000000,0.2.4,6.0,texar,,,,['tensorflow'],14.0,12.0,https://pypi.org/project/texar,2019-11-19 04:11:18.000000,2.0,53.0,53.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n522,Mars,mars-project/mars,,others,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03.000000,2021-02-18 03:42:56.000000,2021-02-16 16:42:06.000000,241,116.0,659.0,2033,721.0,\"Mars is a tensor-based unified framework for large-scale data computation which scales Numpy, pandas, Scikit-learn and..\",18.0,21,True,2021-01-30 06:15:49.000000,0.6.4,72.0,pymars,,,,,3.0,3.0,https://pypi.org/project/pymars,2021-01-30 06:15:49.000000,0.0,530.0,530.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n523,PyFlux,RJT1990/pyflux,,time-series-data,https://github.com/RJT1990/pyflux,https://github.com/RJT1990/pyflux,BSD-3-Clause,2016-02-16 20:12:02.000000,2019-03-19 10:45:02.000000,2018-12-16 15:30:13.000000,210,79.0,65.0,1850,118.0,Open source time series library for Python.,6.0,21,False,2017-11-21 16:27:06.000000,0.4.16,35.0,pyflux,,,,,190.0,175.0,https://pypi.org/project/pyflux,2017-11-21 16:27:06.000000,15.0,7476.0,7476.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n524,auto_ml,ClimbsRocks/auto_ml,,hyperopt,https://github.com/ClimbsRocks/auto_ml,https://github.com/ClimbsRocks/auto_ml,MIT,2016-08-07 21:35:08.000000,2021-02-10 07:52:35.000000,2018-03-25 19:46:25.000000,293,185.0,215.0,1515,1149.0,[UNMAINTAINED] Automated machine learning for analytics & production.,13.0,21,False,2018-02-22 01:13:03.000000,2.9.10,78.0,auto_ml,,,,,2.0,,https://pypi.org/project/auto_ml,2018-02-22 01:13:03.000000,2.0,1551.0,1551.0,,,,,,,,3.0,33.0,,,,,,,,,,,,,,,,,,,,,,\n525,lore,instacart/lore,,ml-experiments,https://github.com/instacart/lore,https://github.com/instacart/lore,MIT,2017-10-19 21:51:45.000000,2021-02-18 00:29:37.000000,2020-05-11 22:26:45.000000,118,16.0,18.0,1511,270.0,Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers.,22.0,21,True,2020-05-11 22:28:23.000000,0.8.4,231.0,lore,,,,,17.0,16.0,https://pypi.org/project/lore,2020-05-11 22:28:23.000000,1.0,745.0,745.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n526,fast-bert,kaushaltrivedi/fast-bert,,nlp,https://github.com/utterworks/fast-bert,https://github.com/utterworks/fast-bert,Apache-2.0,2019-04-18 22:01:20.000000,2021-02-05 15:35:26.000000,2021-02-05 15:35:18.000000,308,136.0,91.0,1506,263.0,Super easy library for BERT based NLP models.,34.0,21,True,2020-12-09 21:27:58.000000,1.9.5,40.0,fast-bert,,,,,2.0,,https://pypi.org/project/fast-bert,2020-12-09 21:27:58.000000,2.0,986.0,986.0,,,,,,,,3.0,,,,,,,,,,,,,utterworks/fast-bert,,,,,,,,,,\n527,Talos,autonomio/talos,,hyperopt,https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41.000000,2020-11-21 16:37:14.000000,2020-11-21 16:27:04.000000,225,41.0,346.0,1374,538.0,\"Hyperparameter Optimization for TensorFlow, Keras and PyTorch.\",19.0,21,True,2020-11-09 16:48:30.000000,1.0,13.0,talos,,,,['tensorflow'],114.0,108.0,https://pypi.org/project/talos,2020-11-09 16:46:45.000000,6.0,892.0,892.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n528,TensorFlow Privacy,tensorflow/privacy,,privacy-ml,https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000000,2021-02-16 00:30:59.000000,2021-02-08 10:39:41.000000,270,42.0,76.0,1337,441.0,Library for training machine learning models with privacy for training data.,35.0,21,True,2020-09-03 01:13:47.000000,.0.5.1,9.0,tensorflow-privacy,,,,['tensorflow'],1.0,,https://pypi.org/project/tensorflow-privacy,2020-09-03 01:10:15.000000,1.0,3254.0,3256.0,,,,,,,,2.0,41.0,,,,,,,,,,,,,,,,,,,,,,\n529,Neural Tangents,google/neural-tangents,,ml-frameworks,https://github.com/google/neural-tangents,https://github.com/google/neural-tangents,Apache-2.0,2019-04-08 16:48:48.000000,2021-02-18 07:37:24.000000,2021-02-18 07:37:19.000000,148,28.0,52.0,1326,367.0,Fast and Easy Infinite Neural Networks in Python.,17.0,21,True,2021-01-25 23:20:02.000000,0.3.6,20.0,neural-tangents,,,,,13.0,13.0,https://pypi.org/project/neural-tangents,2021-01-25 23:06:16.000000,0.0,922.0,936.0,,,,,,,,3.0,112.0,,,,,,,,,,,,,,,,,,,,,,\n530,NiftyNet,NifTK/NiftyNet,,medical-data,https://github.com/NifTK/NiftyNet,https://github.com/NifTK/NiftyNet,Apache-2.0,2017-08-30 07:55:43.000000,2020-04-21 19:54:52.000000,2020-04-21 19:54:51.000000,385,102.0,224.0,1266,2848.0,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,58.0,21,True,2019-10-10 10:59:33.000000,0.6.0,11.0,niftynet,,,,['tensorflow'],34.0,33.0,https://pypi.org/project/niftynet,2019-10-10 10:59:33.000000,1.0,89.0,89.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n531,Pypeline,cgarciae/pypeln,,data-pipelines,https://github.com/cgarciae/pypeln,https://github.com/cgarciae/pypeln,MIT,2018-09-01 13:43:31.000000,2021-01-05 18:00:20.000000,2021-01-05 17:59:44.000000,66,12.0,35.0,1212,234.0,Concurrent data pipelines in Python .,9.0,21,True,2021-01-05 18:00:06.000000,0.4.7,34.0,pypeln,,,,,5.0,,https://pypi.org/project/pypeln,2021-01-05 18:00:06.000000,5.0,3120.0,3120.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n532,Karate Club,benedekrozemberczki/karateclub,,graph,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56.000000,2021-01-25 18:14:21.000000,2021-01-25 18:10:17.000000,137,,47.0,1158,2117.0,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,11.0,21,False,2021-01-25 18:14:21.000000,_10023,96.0,karateclub,,,,,26.0,26.0,https://pypi.org/project/karateclub,2021-01-25 18:11:58.000000,0.0,1447.0,1447.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n533,datatable,h2oai/datatable,,data-containers,https://github.com/h2oai/datatable,https://github.com/h2oai/datatable,MPL-2.0,2017-03-03 02:32:59.000000,2021-02-17 23:12:59.000000,2021-02-12 20:50:41.000000,96,125.0,1110.0,1135,,A Python package for manipulating 2-dimensional tabular data structures.,28.0,21,True,2020-12-10 09:10:50.000000,0.11.1,15.0,datatable,,,,,6.0,,https://pypi.org/project/datatable,2020-12-10 08:04:03.000000,6.0,11177.0,11199.0,,,,,,,,3.0,944.0,,,,,,,,,,,,,,,,,,,,,,\n534,Classy Vision,facebookresearch/ClassyVision,,image,https://github.com/facebookresearch/ClassyVision,https://github.com/facebookresearch/ClassyVision,MIT,2019-09-13 22:54:44.000000,2021-02-17 17:50:14.000000,2021-02-11 23:22:29.000000,205,48.0,46.0,1130,335.0,An end-to-end PyTorch framework for image and video classification.,59.0,21,True,2020-11-20 21:02:29.000000,0.5.0,15.0,classy_vision,conda-forge/classy_vision,,,['pytorch'],0.0,,https://pypi.org/project/classy_vision,2020-11-20 21:02:29.000000,0.0,96.0,552.0,https://anaconda.org/conda-forge/classy_vision,2020-12-11 20:08:25.437000,5936.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n535,tensorly,tensorly/tensorly,,others,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52.000000,2021-02-17 14:10:20.000000,2021-02-17 14:10:20.000000,188,24.0,94.0,957,,TensorLy: Tensor Learning in Python.,39.0,21,True,2020-12-07 20:30:41.000000,0.5.1,16.0,tensorly,conda-forge/tensorly,,,,20.0,,https://pypi.org/project/tensorly,2020-12-07 20:30:41.000000,20.0,2024.0,5536.0,https://anaconda.org/conda-forge/tensorly,2020-12-07 22:44:30.386000,115906.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n536,Neural Structured Learning,tensorflow/neural-structured-learning,,tensorflow-utils,https://github.com/tensorflow/neural-structured-learning,https://github.com/tensorflow/neural-structured-learning,Apache-2.0,2019-08-27 21:48:16.000000,2021-02-10 22:50:31.000000,2021-02-10 22:50:27.000000,138,4.0,39.0,777,358.0,Training neural models with structured signals.,26.0,21,True,2020-08-18 00:35:35.000000,1.3.1,7.0,neural-structured-learning,,,,['tensorflow'],33.0,33.0,https://pypi.org/project/neural-structured-learning,2020-08-18 00:35:35.000000,0.0,1518.0,1518.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n537,FairScale,facebookresearch/fairscale,,distributed-ml,https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000000,2021-02-17 23:24:28.000000,2021-02-17 00:54:11.000000,57,35.0,73.0,777,261.0,PyTorch extensions for high performance and large scale training.,21.0,21,True,2021-02-11 01:33:13.000000,0.1.6,10.0,fairscale,,,,['pytorch'],6.0,6.0,https://pypi.org/project/fairscale,2021-02-11 01:33:13.000000,0.0,2696.0,2696.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n538,tf-explain,sicara/tf-explain,,interpretability,https://github.com/sicara/tf-explain,https://github.com/sicara/tf-explain,MIT,2019-07-15 08:26:24.000000,2021-02-16 18:59:38.000000,2021-02-04 18:16:59.000000,73,33.0,45.0,764,197.0,Interpretability Methods for tf.keras models with Tensorflow 2.x.,13.0,21,True,2021-02-16 18:59:38.000000,0.3.0,7.0,tf-explain,,,,['tensorflow'],65.0,63.0,https://pypi.org/project/tf-explain,2021-02-16 18:59:38.000000,2.0,757.0,757.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n539,fairlearn,fairlearn/fairlearn,,interpretability,https://github.com/fairlearn/fairlearn,https://github.com/fairlearn/fairlearn,MIT,2018-05-15 01:51:35.000000,2021-02-18 14:42:25.000000,2021-02-06 20:45:38.000000,168,76.0,111.0,675,556.0,A Python package to assess and improve fairness of machine learning models.,29.0,21,True,2021-02-06 23:47:07.000000,0.6.0,13.0,fairlearn,conda-forge/fairlearn,,,['sklearn'],2.0,,https://pypi.org/project/fairlearn,2021-02-04 12:58:01.000000,2.0,2865.0,3681.0,https://anaconda.org/conda-forge/fairlearn,2021-02-03 19:59:47.855000,9796.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n540,Sentinelsat,sentinelsat/sentinelsat,,geospatial-data,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26.000000,2021-02-08 09:57:22.000000,2021-01-31 18:47:01.000000,162,29.0,209.0,562,801.0,Search and download Copernicus Sentinel satellite images.,34.0,21,False,2020-06-12 07:15:51.000000,0.14,36.0,sentinelsat,,,,,187.0,165.0,https://pypi.org/project/sentinelsat,2020-06-12 07:08:37.000000,22.0,4656.0,4659.0,,,,,,,,3.0,195.0,,,,,,,,,,,,,,,,,,,,,,\n541,pickleDB,patx/pickledb,,data-containers,https://github.com/patx/pickledb,https://github.com/patx/pickledb,BSD-3-Clause,2011-10-28 00:04:40.000000,2020-08-25 09:47:52.000000,2019-11-15 03:38:30.000000,93,16.0,39.0,541,105.0,pickleDB is an open source key-value store using Python's json module.,11.0,21,False,2019-01-13 22:40:32.000000,0.9.1,19.0,pickledb,,,,,601.0,499.0,https://pypi.org/project/pickledb,2019-01-13 22:40:32.000000,102.0,10587.0,10587.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n542,lazypredict,shankarpandala/lazypredict,,hyperopt,https://github.com/shankarpandala/lazypredict,https://github.com/shankarpandala/lazypredict,MIT,2019-11-16 09:56:35.000000,2021-02-17 15:47:29.000000,2021-02-17 15:43:44.000000,85,14.0,26.0,376,195.0,Lazy Predict help build a lot of basic models without much code and helps understand which models works better without..,11.0,21,True,2021-02-17 15:38:45.000000,0.2.9,11.0,lazypredict,,,,['sklearn'],31.0,31.0,https://pypi.org/project/lazypredict,2021-02-17 15:38:45.000000,,1376.0,1376.0,,,,,,,,3.0,,2.0,,,,,,,,,,,,,,,,,,,,,\n543,Studio.ml,studioml/studio,,ml-experiments,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28.000000,2021-02-17 03:37:12.000000,2021-02-17 03:30:07.000000,50,56.0,189.0,369,2332.0,Studio: Simplify and expedite model building process.,21.0,21,True,2021-02-17 03:37:12.000000,0.0.41,185.0,studioml,,,,,3.0,3.0,https://pypi.org/project/studioml,2021-02-17 03:37:12.000000,,472.0,472.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n544,Neuraxle,Neuraxio/Neuraxle,,hyperopt,https://github.com/Neuraxio/Neuraxle,https://github.com/Neuraxio/Neuraxle,Apache-2.0,2019-03-26 21:01:54.000000,2021-02-17 17:57:12.000000,2021-01-12 03:35:32.000000,40,123.0,131.0,363,1324.0,A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right..,7.0,21,True,2020-09-20 16:29:39.000000,0.5.6,18.0,neuraxle,,,,,17.0,17.0,https://pypi.org/project/neuraxle,2020-09-20 16:29:39.000000,0.0,185.0,185.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n545,Pandas Summary,mouradmourafiq/pandas-summary,,data-containers,https://github.com/mouradmourafiq/pandas-summary,https://github.com/mouradmourafiq/pandas-summary,MIT,2016-03-25 21:59:32.000000,2019-08-24 21:10:25.000000,2019-08-24 21:10:24.000000,35,8.0,5.0,358,24.0,An extension to pandas dataframes describe function.,6.0,21,False,2016-08-30 07:54:59.000000,0.0.41,8.0,pandas-summary,,,,['pandas'],588.0,569.0,https://pypi.org/project/pandas-summary,2016-08-30 07:54:59.000000,19.0,16206.0,16206.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n546,aequitas,dssg/aequitas,,interpretability,https://github.com/dssg/aequitas,https://github.com/dssg/aequitas,MIT,2018-02-13 19:40:30.000000,2021-02-05 15:16:41.000000,2021-02-03 16:16:22.000000,64,33.0,20.0,357,855.0,Bias and Fairness Audit Toolkit.,15.0,21,True,2020-12-16 11:48:14.000000,0.42.0,16.0,aequitas,,,,,70.0,67.0,https://pypi.org/project/aequitas,2020-12-16 11:48:14.000000,3.0,154.0,154.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n547,skope-rules,scikit-learn-contrib/skope-rules,,sklearn-utils,https://github.com/scikit-learn-contrib/skope-rules,https://github.com/scikit-learn-contrib/skope-rules,BSD-1-Clause,2018-02-18 13:42:47.000000,2020-12-11 14:42:41.000000,2020-10-23 14:31:57.000000,58,23.0,4.0,353,247.0,machine learning with logical rules in Python.,18.0,21,False,2020-12-11 09:37:02.000000,1.0.1,4.0,skope-rules,,,,['sklearn'],28.0,25.0,https://pypi.org/project/skope-rules,2020-01-25 12:01:37.000000,3.0,11617.0,11617.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n548,PyTorch Sparse,rusty1s/pytorch_sparse,,pytorch-utils,https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53.000000,2021-02-16 11:34:27.000000,2021-02-16 11:34:23.000000,43,36.0,52.0,349,514.0,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,12.0,21,True,2020-11-02 10:42:59.000000,0.6.8,21.0,torch-sparse,,,,['pytorch'],17.0,,https://pypi.org/project/torch-sparse,2020-11-02 10:43:20.000000,17.0,3261.0,3261.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n549,torch-cluster,rusty1s/pytorch_cluster,,graph,https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06.000000,2021-02-12 12:53:44.000000,2021-02-12 12:53:41.000000,68,36.0,38.0,335,500.0,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,17.0,21,True,2020-10-31 14:42:35.000000,1.5.8,38.0,torch-cluster,,,,['pytorch'],32.0,,https://pypi.org/project/torch-cluster,2020-10-31 14:42:35.000000,32.0,2086.0,2086.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n550,SDV,sdv-dev/SDV,,data-loading,https://github.com/sdv-dev/SDV,https://github.com/sdv-dev/SDV,MIT,2018-05-11 15:56:50.000000,2021-02-17 06:20:02.000000,2021-02-03 20:36:21.000000,58,51.0,140.0,333,780.0,\"Synthetic Data Generation for tabular, relational and time series data.\",33.0,21,True,2021-01-28 00:14:45.000000,0.7.0,40.0,sdv,,,,,14.0,14.0,https://pypi.org/project/sdv,2021-01-28 00:13:40.000000,0.0,798.0,798.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n551,joypy,sbebo/joypy,,data-viz,https://github.com/sbebo/joypy,https://github.com/sbebo/joypy,MIT,2017-07-30 17:18:50.000000,2020-12-28 14:07:53.760000,2020-12-28 11:56:12.000000,32,4.0,34.0,317,108.0,Joyplots in Python with matplotlib & pandas.,5.0,21,True,2020-12-28 11:54:36.000000,0.2.4,16.0,joypy,conda-forge/joypy,,,,72.0,66.0,https://pypi.org/project/joypy,2020-12-28 11:54:36.000000,6.0,2017.0,2371.0,https://anaconda.org/conda-forge/joypy,2020-12-28 14:07:53.760000,8149.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n552,datatest,shawnbrown/datatest,,data-loading,https://github.com/shawnbrown/datatest,https://github.com/shawnbrown/datatest,Apache-2.0,2016-05-12 13:16:27.000000,2021-02-16 05:40:08.000000,2021-02-16 05:39:33.000000,12,9.0,42.0,237,2138.0,Tools for test driven data-wrangling and data validation.,6.0,21,True,2021-01-04 03:43:58.000000,0.11.1,17.0,datatest,,,,,31.0,29.0,https://pypi.org/project/datatest,2021-01-04 03:39:40.000000,2.0,1305.0,1305.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n553,quinn,MrPowers/quinn,,ml-experiments,https://github.com/MrPowers/quinn,https://github.com/MrPowers/quinn,Apache-2.0,2017-09-15 13:02:42.000000,2021-02-09 04:48:14.000000,2021-02-09 04:48:07.000000,26,17.0,6.0,208,110.0,pyspark methods to enhance developer productivity.,6.0,21,True,2021-02-06 15:21:04.000000,0.9.0,12.0,quinn,,,,['spark'],6.0,,https://pypi.org/project/quinn,2021-02-06 15:21:04.000000,6.0,71439.0,71439.0,,,,,,,,3.0,,2.0,,,,,,,,,,,,,,,,,,,,,\n554,py3nvml,fbcotter/py3nvml,,gpu-utilities,https://github.com/fbcotter/py3nvml,https://github.com/fbcotter/py3nvml,BSD-3-Clause,2016-11-21 01:07:37.000000,2020-10-10 10:41:08.987000,2020-04-23 06:54:42.000000,24,2.0,9.0,164,79.0,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,6.0,21,True,2020-04-06 16:02:10.000000,0.2.6,13.0,py3nvml,conda-forge/py3nvml,,,,247.0,227.0,https://pypi.org/project/py3nvml,2020-04-06 16:02:10.000000,20.0,39886.0,40830.0,https://anaconda.org/conda-forge/py3nvml,2020-10-10 10:41:08.987000,12278.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n555,stop-words,Alir3z4/python-stop-words,,nlp,https://github.com/Alir3z4/python-stop-words,https://github.com/Alir3z4/python-stop-words,BSD-3-Clause,2014-05-26 06:44:03.000000,2019-10-16 15:01:43.000000,2018-07-23 21:04:09.000000,21,3.0,9.0,121,90.0,Get list of common stop words in various languages in Python.,8.0,21,False,2018-07-23 20:58:34.000000,2018.7.23,8.0,stop-words,,,,,1308.0,1104.0,https://pypi.org/project/stop-words,2018-07-23 20:55:55.000000,204.0,29339.0,29339.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n556,PyStan,stan-dev/pystan,,probabilistics,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,ISC,2017-03-06 19:56:42.094000,2021-02-16 12:27:24.000000,2021-02-16 12:27:23.000000,10,7.0,87.0,35,,\"PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io.\",5.0,21,False,2013-09-28 22:06:09.000000,0.2.2,57.0,pystan,conda-forge/pystan,,,,342.0,,https://pypi.org/project/pystan,2021-02-10 14:31:04.000000,342.0,459549.0,478222.0,https://anaconda.org/conda-forge/pystan,2020-08-25 22:40:14.631000,877656.0,,,,,3.0,,-3.0,,,,,,,,,,,,,,,,,,,,,\n557,Dejavu,worldveil/dejavu,,audio,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35.000000,2020-10-29 17:40:17.000000,2020-06-03 05:58:03.000000,1236,83.0,129.0,5335,146.0,Audio fingerprinting and recognition in Python.,23.0,20,True,2015-04-19 21:20:16.000000,0.1.3,4.0,PyDejavu,,,,,18.0,17.0,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16.000000,1.0,56.0,56.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n558,Qlib,microsoft/qlib,,financial-data,https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000000,2021-02-18 00:43:12.000000,2021-02-18 00:43:12.000000,660,77.0,61.0,4362,,\"Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research,..\",30.0,20,True,2021-02-02 09:29:47.000000,0.6.2,16.0,pyqlib,,,,['pytorch'],,,https://pypi.org/project/pyqlib,2021-02-02 09:29:47.000000,,1720.0,1765.0,,,,,,,,3.0,225.0,,,,,,,,,,,,,,,,,,,,,,\n559,MMF,facebookresearch/mmf,,image,https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40.000000,2021-02-17 22:54:22.000000,2021-02-17 22:54:16.000000,598,90.0,336.0,4135,779.0,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,53.0,20,True,2019-08-26 19:04:21.000000,0.3.1,12.0,mmf,,,,['pytorch'],7.0,7.0,https://pypi.org/project/mmf,2020-06-12 22:15:02.000000,0.0,66.0,66.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n560,MatchZoo,NTMC-Community/MatchZoo,,nlp,https://github.com/NTMC-Community/MatchZoo,https://github.com/NTMC-Community/MatchZoo,Apache-2.0,2017-06-08 08:55:22.000000,2020-06-17 07:27:59.000000,2019-10-24 13:10:07.000000,877,27.0,428.0,3351,1808.0,\"Facilitating the design, comparison and sharing of deep text matching models.\",35.0,20,False,2019-10-24 13:09:11.000000,2.2.0,5.0,matchzoo,,,,['tensorflow'],9.0,9.0,https://pypi.org/project/matchzoo,2019-10-24 13:09:11.000000,,118.0,118.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n561,MindsDB,mindsdb/mindsdb,,ml-frameworks,https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,GPL-3.0,2018-08-02 17:56:45.000000,2021-02-18 11:17:05.000000,2021-02-17 14:33:47.000000,412,36.0,498.0,3230,,Predictive AI layer for existing databases.,55.0,20,False,2021-02-17 14:48:51.000000,2.21.2,42.0,mindsdb,,,,['pytorch'],6.0,,https://pypi.org/project/mindsdb,2019-03-19 05:07:23.000000,6.0,1996.0,1996.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n562,TTS,mozilla/TTS,,audio,https://github.com/mozilla/TTS,https://github.com/mozilla/TTS,MPL-2.0,2018-01-23 14:22:06.000000,2021-02-17 22:59:56.000000,2021-02-12 10:36:31.000000,667,29.0,440.0,3223,2184.0,Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts).,51.0,20,True,2021-01-29 00:03:56.000000,0.0.9,1.0,,,,,,,,,,,,102.0,,,,,,,,3.0,102.0,,,,,,,,,,,,,,,,,,,,,,\n563,DALI,NVIDIA/DALI,,gpu-utilities,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000000,2021-02-18 15:07:40.000000,2021-02-18 13:02:22.000000,372,196.0,612.0,3091,1707.0,A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep..,56.0,20,True,2021-01-27 17:28:00.000000,0.30.0,36.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n564,FATE,FederatedAI/FATE,,privacy-ml,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000000,2021-02-18 09:57:35.000000,2021-02-07 14:00:07.000000,823,272.0,525.0,2774,7016.0,An Industrial Grade Federated Learning Framework.,52.0,20,True,2021-02-10 09:13:39.000000,1.5.1,25.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n565,image-match,EdjoLabs/image-match,,image,https://github.com/EdjoLabs/image-match,https://github.com/EdjoLabs/image-match,Apache-2.0,2016-03-08 18:16:45.000000,2021-01-04 18:36:01.000000,2021-01-04 18:35:59.000000,352,47.0,47.0,2516,404.0,Quickly search over billions of images.,17.0,20,True,2017-02-13 14:54:48.000000,1.1.2,10.0,image_match,,,,,6.0,,https://pypi.org/project/image_match,2017-02-13 14:54:48.000000,6.0,365.0,365.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n566,tf-quant-finance,google/tf-quant-finance,,financial-data,https://github.com/google/tf-quant-finance,https://github.com/google/tf-quant-finance,Apache-2.0,2019-07-24 16:09:50.000000,2021-02-16 14:55:45.000000,2021-02-16 14:55:39.000000,306,11.0,11.0,2471,643.0,High-performance TensorFlow library for quantitative finance.,30.0,20,True,,,21.0,tf-quant-finance,,,,['tensorflow'],4.0,4.0,https://pypi.org/project/tf-quant-finance,2021-02-01 16:10:08.000000,0.0,155.0,155.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n567,finmarketpy,cuemacro/finmarketpy,,financial-data,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03.000000,2021-01-25 15:04:53.000000,2021-01-25 15:02:09.000000,431,21.0,3.0,2463,655.0,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,14.0,20,True,2021-01-25 15:04:53.000000,0.11.8,9.0,finmarketpy,,,,,3.0,3.0,https://pypi.org/project/finmarketpy,2021-01-25 15:01:25.000000,,76.0,76.0,,,,,,,,3.0,39.0,,,,,,,,,,,,,,,,,,,,,,\n568,StreamAlert,airbnb/streamalert,,others,https://github.com/airbnb/streamalert,https://github.com/airbnb/streamalert,Apache-2.0,2017-01-22 01:10:56.000000,2021-02-10 19:36:07.000000,2021-02-10 05:03:05.000000,283,90.0,247.0,2461,1893.0,\"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data..\",31.0,20,True,2020-10-05 21:50:56.000000,3.4.1,27.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n569,NeMo,NVIDIA/NeMo,,nlp,https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000000,2021-02-18 09:48:52.000000,2021-02-17 04:25:09.000000,405,182.0,273.0,2402,,NeMo: a toolkit for conversational AI.,76.0,20,True,2020-07-10 00:01:18.000000,0.11.0,36.0,nemo-toolkit,,,,['pytorch'],4.0,,https://pypi.org/project/nemo-toolkit,2020-12-11 21:33:53.000000,4.0,1321.0,1464.0,,,,,,,,3.0,2441.0,,,,,,,,,,,,,,,,,,,,,,\n570,Hummingbird,microsoft/hummingbird,,model-serialisation,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000000,2021-02-18 00:58:34.000000,2021-02-12 18:36:01.000000,159,47.0,134.0,2250,,Hummingbird compiles trained ML models into tensor computation for faster inference.,18.0,20,True,2021-01-04 22:16:04.000000,0.2.1,9.0,hummingbird-ml,,,,,14.0,14.0,https://pypi.org/project/hummingbird-ml,2021-01-04 22:14:22.000000,,708.0,718.0,,,,,,,,3.0,95.0,,,,,,,,,,,,,,,,,,,,,,\n571,Texthero,jbesomi/texthero,,nlp,https://github.com/jbesomi/texthero,https://github.com/jbesomi/texthero,MIT,2020-04-06 15:16:05.000000,2020-12-09 16:49:27.000000,2020-11-03 07:58:36.000000,183,73.0,48.0,2094,267.0,\"Text preprocessing, representation and visualization from zero to hero.\",18.0,20,True,2020-07-06 20:32:28.000000,1.0.9,9.0,texthero,,,,,,,https://pypi.org/project/texthero,2020-07-06 20:29:25.000000,,1460.0,1466.0,,,,,,,,3.0,62.0,,,,,,,,,,,,,,,,,,,,,,\n572,pdftabextract,WZBSocialScienceCenter/pdftabextract,,ocr,https://github.com/WZBSocialScienceCenter/pdftabextract,https://github.com/WZBSocialScienceCenter/pdftabextract,Apache-2.0,2016-07-08 11:44:46.000000,2020-12-28 00:52:23.000000,2018-10-26 13:57:02.000000,331,2.0,18.0,1894,168.0,A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.,2.0,20,False,2018-01-09 08:00:24.000000,0.3.0,5.0,pdftabextract,,,,,36.0,36.0,https://pypi.org/project/pdftabextract,2018-01-09 08:00:24.000000,,229.0,229.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n573,PARL,PaddlePaddle/PARL,,reinforcement-learning,https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22.000000,2021-02-10 14:02:50.000000,2021-02-03 08:56:07.000000,426,52.0,149.0,1825,1.0,A high-performance distributed training framework for Reinforcement Learning.,21.0,20,True,2021-01-08 08:16:06.000000,1.4.1,16.0,parl,,,,['paddle'],68.0,68.0,https://pypi.org/project/parl,2021-01-08 08:16:06.000000,,145.0,145.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n574,STUMPY,TDAmeritrade/stumpy,,time-series-data,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000000,2021-02-12 16:42:36.000000,2021-02-12 16:42:11.000000,161,27.0,190.0,1669,,\"STUMPY is a powerful and scalable Python library for computing a Matrix Profile, which can be used for a variety of..\",21.0,20,True,2021-02-04 19:04:44.000000,1.8.0,18.0,stumpy,conda-forge/stumpy,,,,0.0,,https://pypi.org/project/stumpy,2021-01-20 22:21:04.000000,0.0,5271.0,6039.0,https://anaconda.org/conda-forge/stumpy,2021-02-05 23:28:08.904000,16138.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n575,AmpliGraph,Accenture/AmpliGraph,,graph,https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05.000000,2020-08-25 17:19:24.000000,2020-08-25 17:00:58.000000,155,21.0,157.0,1428,895.0,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,14.0,20,True,2020-08-25 17:06:46.000000,1.3.2,11.0,ampligraph,,,,['tensorflow'],10.0,10.0,https://pypi.org/project/ampligraph,2020-08-25 16:59:58.000000,,403.0,403.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n576,DELTA,Delta-ML/delta,,nlp,https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57.000000,2021-02-17 17:31:33.682787,2020-12-17 06:57:15.000000,276,9.0,68.0,1389,932.0,DELTA is a deep learning based natural language and speech processing platform.,41.0,20,True,2020-07-16 09:31:45.000000,0.3.3,4.0,delta-nlp,,zh794390558/delta,,['tensorflow'],,,https://pypi.org/project/delta-nlp,2020-03-27 04:46:19.000000,,5.0,573.0,,,,https://hub.docker.com/r/zh794390558/delta,2021-02-17 17:31:33.682787,,11941.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n577,reformer-pytorch,lucidrains/reformer-pytorch,,pytorch-utils,https://github.com/lucidrains/reformer-pytorch,https://github.com/lucidrains/reformer-pytorch,MIT,2020-01-09 20:42:37.000000,2020-12-11 17:49:44.000000,2020-12-11 17:49:36.000000,170,1.0,92.0,1366,236.0,\"Reformer, the efficient Transformer, in Pytorch.\",9.0,20,True,2020-12-06 23:07:32.000000,1.2.4,132.0,reformer-pytorch,,,,['pytorch'],,,https://pypi.org/project/reformer-pytorch,2020-12-06 23:08:09.000000,,431.0,431.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n578,ThunderSVM,Xtra-Computing/thundersvm,,ml-frameworks,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04.000000,2021-02-10 05:12:44.000000,2021-02-10 05:12:44.000000,164,44.0,144.0,1271,902.0,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,33.0,20,True,2020-03-13 12:36:30.000000,0.3.12,9.0,thundersvm,,,,,,,https://pypi.org/project/thundersvm,2020-03-13 12:36:30.000000,,189.0,231.0,,,,,,,,3.0,2145.0,,,,,,,,,,,,,,,,,,,,,,\n579,EfficientNets,rwightman/gen-efficientnet-pytorch,,pytorch-utils,https://github.com/rwightman/gen-efficientnet-pytorch,https://github.com/rwightman/gen-efficientnet-pytorch,Apache-2.0,2019-05-11 19:35:56.000000,2020-11-30 05:51:08.000000,2020-11-30 05:49:27.000000,169,,48.0,1250,106.0,\"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.\",5.0,20,True,2020-08-20 19:55:21.000000,1.0.0,9.0,geffnet,,,,['pytorch'],35.0,35.0,https://pypi.org/project/geffnet,2020-08-20 19:55:21.000000,0.0,1765.0,1765.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n580,checklist,marcotcr/checklist,,interpretability,https://github.com/marcotcr/checklist,https://github.com/marcotcr/checklist,MIT,2020-03-09 17:18:49.000000,2021-02-11 22:29:07.000000,2021-02-11 13:16:40.000000,100,3.0,62.0,1237,219.0,Beyond Accuracy: Behavioral Testing of NLP models with CheckList.,9.0,20,True,2020-09-21 18:30:40.000000,0.0.10,9.0,checklist,,,,['jupyter'],7.0,5.0,https://pypi.org/project/checklist,2020-09-21 18:30:40.000000,2.0,300.0,300.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n581,DLTK,DLTK/DLTK,,medical-data,https://github.com/DLTK/DLTK,https://github.com/DLTK/DLTK,Apache-2.0,2017-05-02 15:40:36.000000,2021-01-15 01:31:30.000000,2019-01-21 14:01:28.000000,384,11.0,24.0,1235,379.0,Deep Learning Toolkit for Medical Image Analysis.,9.0,20,False,2018-02-26 17:43:57.000000,0.2.1,5.0,dltk,,,,['tensorflow'],18.0,18.0,https://pypi.org/project/dltk,2018-02-26 17:43:57.000000,,64.0,64.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n582,Torchmeta,tristandeleu/pytorch-meta,,pytorch-utils,https://github.com/tristandeleu/pytorch-meta,https://github.com/tristandeleu/pytorch-meta,MIT,2018-12-04 23:36:45.000000,2020-11-25 16:45:01.000000,2020-11-25 16:41:48.000000,136,21.0,71.0,1210,341.0,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.,10.0,20,True,2020-11-25 16:45:01.000000,1.6.1,26.0,torchmeta,,,,['pytorch'],28.0,28.0,https://pypi.org/project/torchmeta,2020-11-25 16:45:01.000000,,388.0,388.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n583,MLBox,AxeldeRomblay/MLBox,,hyperopt,https://github.com/AxeldeRomblay/MLBox,https://github.com/AxeldeRomblay/MLBox,BSD-1-Clause,2017-06-01 16:59:24.000000,2020-11-24 17:57:08.000000,2020-08-25 09:26:27.000000,244,10.0,72.0,1191,1121.0,MLBox is a powerful Automated Machine Learning python library.,9.0,20,False,2020-08-25 09:32:37.000000,0.8.5,21.0,mlbox,,,,,20.0,20.0,https://pypi.org/project/mlbox,2020-08-25 09:32:37.000000,,676.0,676.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n584,tensorrec,jfkirk/tensorrec,,recommender-systems,https://github.com/jfkirk/tensorrec,https://github.com/jfkirk/tensorrec,Apache-2.0,2017-02-28 18:51:11.000000,2020-07-30 02:47:12.000000,2020-02-04 21:10:25.000000,206,33.0,90.0,1122,334.0,A TensorFlow recommendation algorithm and framework in Python.,8.0,20,True,2019-04-02 00:53:47.000000,0.26.2,30.0,tensorrec,,,,['tensorflow'],25.0,24.0,https://pypi.org/project/tensorrec,2019-04-02 00:53:47.000000,1.0,702.0,702.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n585,Torch Points 3D,nicolas-chaulet/torch-points3d,,image,https://github.com/nicolas-chaulet/torch-points3d,https://github.com/nicolas-chaulet/torch-points3d,BSD-3-Clause,2019-12-06 11:33:34.000000,2021-02-18 14:07:30.000000,2021-01-19 10:18:25.000000,153,41.0,161.0,1061,1571.0,Pytorch framework for doing deep learning on point clouds.,20.0,20,True,2020-12-18 10:33:50.000000,1.2.0,13.0,torch-points3d,,,,['pytorch'],2.0,2.0,https://pypi.org/project/torch-points3d,2020-12-18 10:34:16.000000,,180.0,180.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n586,Sockeye,awslabs/sockeye,,nlp,https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30.000000,2021-02-08 10:02:02.000000,2021-02-05 10:25:14.000000,294,20.0,222.0,987,736.0,Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet.,52.0,20,True,2021-02-08 10:00:44.000000,2.3.10,62.0,sockeye,,,,['mxnet'],2.0,,https://pypi.org/project/sockeye,2021-02-08 10:02:02.000000,2.0,401.0,401.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n587,Haiku,deepmind/dm-haiku,,ml-frameworks,https://github.com/deepmind/dm-haiku,https://github.com/deepmind/dm-haiku,Apache-2.0,2020-02-18 07:14:02.000000,2021-02-18 13:20:29.000000,2021-02-18 13:19:41.000000,67,20.0,49.0,964,485.0,JAX-based neural network library.,37.0,20,True,2020-11-24 11:25:05.000000,0.0.3,5.0,,,,,,62.0,62.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n588,fastFM,ibayer/fastFM,,recommender-systems,https://github.com/ibayer/fastFM,https://github.com/ibayer/fastFM,BSD-3-Clause,2014-10-27 12:25:51.000000,2020-03-05 14:57:53.000000,2020-03-05 14:57:52.000000,186,44.0,59.0,899,291.0,fastFM: A Library for Factorization Machines.,19.0,20,True,2017-11-23 06:59:56.000000,0.2.11,10.0,fastfm,,,,,84.0,76.0,https://pypi.org/project/fastfm,2017-11-23 06:59:56.000000,8.0,226.0,231.0,,,,,,,,3.0,374.0,,,,,,,,,,,,,,,,,,,,,,\n589,mljar-supervised,mljar/mljar-supervised,,hyperopt,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000000,2021-02-17 13:40:26.000000,2021-02-12 19:25:14.000000,114,51.0,236.0,887,775.0,Automates Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning.,7.0,20,True,2021-02-05 12:53:28.000000,0.8.9,64.0,mljar-supervised,,,,,9.0,9.0,https://pypi.org/project/mljar-supervised,2021-02-05 12:53:28.000000,,1596.0,1596.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n590,pyts,johannfaouzi/pyts,,time-series-data,https://github.com/johannfaouzi/pyts,https://github.com/johannfaouzi/pyts,BSD-3-Clause,2017-07-31 09:23:16.000000,2020-09-12 14:41:49.000000,2020-04-30 12:28:12.000000,93,24.0,19.0,873,360.0,A Python package for time series classification.,7.0,20,True,2020-03-21 12:41:33.000000,0.11.0,17.0,pyts,conda-forge/pyts,,,,87.0,85.0,https://pypi.org/project/pyts,2020-03-21 12:36:40.000000,2.0,2301.0,2643.0,https://anaconda.org/conda-forge/pyts,2020-03-21 14:08:24.734000,6169.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n591,attention-ocr,emedvedev/attention-ocr,,ocr,https://github.com/emedvedev/attention-ocr,https://github.com/emedvedev/attention-ocr,MIT,2017-07-21 18:35:19.000000,2020-10-31 19:40:20.000000,2020-10-31 19:40:19.000000,229,18.0,125.0,836,196.0,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,27.0,20,True,2020-10-12 06:56:40.000000,0.7.6,21.0,aocr,,,,['tensorflow'],15.0,15.0,https://pypi.org/project/aocr,2019-04-19 05:28:27.000000,,97.0,97.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n592,mrq,pricingassistant/mrq,,data-pipelines,https://github.com/pricingassistant/mrq,https://github.com/pricingassistant/mrq,MIT,2014-02-13 09:32:40.000000,2021-01-07 22:22:25.000000,2020-12-13 18:58:15.000000,113,58.0,119.0,836,709.0,Mr. Queue - A distributed worker task queue in Python using Redis & gevent.,37.0,20,True,2018-08-31 16:03:04.000000,0.9.10,70.0,mrq,,,,,35.0,23.0,https://pypi.org/project/mrq,2018-08-31 16:03:04.000000,12.0,150.0,150.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n593,TFEncrypted,tf-encrypted/tf-encrypted,,privacy-ml,https://github.com/tf-encrypted/tf-encrypted,https://github.com/tf-encrypted/tf-encrypted,Apache-2.0,2018-03-21 18:22:13.000000,2020-11-19 15:48:03.000000,2020-08-19 16:56:56.000000,135,165.0,231.0,819,595.0,A Framework for Encrypted Machine Learning in TensorFlow.,28.0,20,True,2019-09-27 20:00:01.000000,0.5.9,35.0,tf-encrypted,,,,['tensorflow'],54.0,46.0,https://pypi.org/project/tf-encrypted,2019-10-21 18:05:53.000000,8.0,326.0,326.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n594,TabNet,dreamquark-ai/tabnet,,pytorch-utils,https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000000,2021-02-17 03:03:40.000000,2021-02-02 08:04:53.000000,153,36.0,103.0,809,168.0,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,17.0,20,True,2021-02-02 08:05:11.000000,3.1.1,17.0,pytorch-tabnet,,,,['pytorch'],0.0,,https://pypi.org/project/pytorch-tabnet,2021-02-02 08:05:11.000000,0.0,3528.0,3528.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n595,nude.py,hhatto/nude.py,,image,https://github.com/hhatto/nude.py,https://github.com/hhatto/nude.py,MIT,2013-06-09 06:55:55.000000,2020-11-23 13:49:32.000000,2020-11-23 13:49:02.000000,128,6.0,2.0,793,79.0,Nudity detection with Python.,12.0,20,True,2020-11-23 13:49:17.000000,0.5.1,10.0,nudepy,,,,,96.0,78.0,https://pypi.org/project/nudepy,2020-11-23 13:49:17.000000,18.0,2884.0,2884.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n596,keras-ocr,faustomorales/keras-ocr,,ocr,https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50.000000,2020-12-11 02:31:17.000000,2020-11-26 17:18:25.000000,173,31.0,96.0,760,161.0,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,9.0,20,True,2020-11-26 17:19:39.000000,0.8.6,26.0,keras-ocr,,,,['tensorflow'],1.0,,https://pypi.org/project/keras-ocr,2020-11-26 17:19:39.000000,1.0,1332.0,5223.0,,,,,,,,3.0,19459.0,,,,,,,,,,,,,,,,,,,,,,\n597,rows,turicas/rows,,data-loading,https://github.com/turicas/rows,https://github.com/turicas/rows,LGPL-3.0,2014-05-07 05:43:11.000000,2021-02-13 02:25:34.000000,2021-02-13 02:25:13.000000,132,138.0,149.0,736,738.0,\"A common, beautiful interface to tabular data, no matter the format.\",30.0,20,False,2019-02-14 21:20:15.000000,0.4.1,9.0,rows,,,,,138.0,117.0,https://pypi.org/project/rows,2019-02-14 21:12:03.000000,21.0,567.0,567.0,,,,,,,,3.0,37.0,,,,,,,,,,,,,,,,,,,,,,\n598,YouTokenToMe,vkcom/youtokentome,,nlp,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28.000000,2021-01-28 23:05:01.000000,2021-01-28 19:04:09.000000,43,20.0,22.0,718,79.0,Unsupervised text tokenizer focused on computational efficiency.,6.0,20,True,2020-02-13 09:57:47.000000,1.0.6,14.0,youtokentome,,,,,104.0,98.0,https://pypi.org/project/youtokentome,2020-02-12 18:24:46.000000,6.0,3300.0,3300.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n599,Madmom,CPJKU/madmom,,audio,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06.000000,2020-04-14 03:42:18.000000,2019-12-19 14:46:37.000000,120,54.0,178.0,716,1722.0,Python audio and music signal processing library.,19.0,20,False,2018-11-14 14:57:41.000000,0.16.1,11.0,madmom,,,,,150.0,116.0,https://pypi.org/project/madmom,2018-11-14 14:56:22.000000,34.0,773.0,773.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n600,mlens,flennerhag/mlens,,others,https://github.com/flennerhag/mlens,https://github.com/flennerhag/mlens,MIT,2017-01-10 20:53:47.000000,2020-02-25 14:32:48.000000,2020-02-25 14:31:53.000000,84,8.0,73.0,676,879.0,ML-Ensemble high performance ensemble learning.,7.0,20,True,2018-10-30 22:34:35.000000,0.2.3,14.0,mlens,,,,,112.0,109.0,https://pypi.org/project/mlens,2018-10-30 22:30:43.000000,3.0,3332.0,3332.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n601,NeuPy,itdxer/neupy,,ml-frameworks,https://github.com/itdxer/neupy,https://github.com/itdxer/neupy,MIT,2015-08-24 19:45:11.000000,2020-01-15 08:04:33.000000,2019-09-02 19:02:38.000000,144,26.0,229.0,665,1145.0,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,6.0,20,False,2019-04-04 19:44:59.000000,0.8.2,34.0,neupy,,,,,112.0,101.0,https://pypi.org/project/neupy,2019-04-04 19:43:06.000000,11.0,607.0,607.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n602,torch-scatter,rusty1s/pytorch_scatter,,pytorch-utils,https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23.000000,2021-02-12 12:51:51.000000,2021-02-12 12:51:48.000000,72,58.0,111.0,595,811.0,PyTorch Extension Library of Optimized Scatter Operations.,14.0,20,True,2020-06-24 09:29:12.000000,2.0.5,24.0,torch-scatter,,,,['pytorch'],16.0,,https://pypi.org/project/torch-scatter,2020-02-22 16:51:10.000000,16.0,3682.0,3682.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n603,pdpipe,pdpipe/pdpipe,,data-pipelines,https://github.com/pdpipe/pdpipe,https://github.com/pdpipe/pdpipe,MIT,2017-01-24 20:37:22.000000,2021-01-19 11:34:24.000000,2021-01-19 11:34:15.000000,29,6.0,14.0,580,341.0,Easy pipelines for pandas DataFrames.,8.0,20,True,2020-11-09 09:32:37.000000,0.0.53,49.0,pdpipe,,,,['pandas'],23.0,23.0,https://pypi.org/project/pdpipe,2020-11-09 09:32:37.000000,,652.0,652.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n604,baikal,alegonz/baikal,,others,https://github.com/alegonz/baikal,https://github.com/alegonz/baikal,BSD-3-Clause,2019-01-21 12:59:02.000000,2021-01-31 09:13:47.685000,2021-01-30 09:29:45.000000,29,4.0,11.0,572,400.0,A graph-based functional API for building complex scikit-learn pipelines.,2.0,20,True,2020-11-15 13:40:18.000000,0.4.2,7.0,baikal,conda-forge/cython-blis,,,,3.0,3.0,https://pypi.org/project/baikal,2020-11-15 13:40:18.000000,,32.0,17783.0,https://anaconda.org/conda-forge/cython-blis,2021-01-31 09:13:47.685000,408283.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n605,alibi-detect,SeldonIO/alibi-detect,,others,https://github.com/SeldonIO/alibi-detect,https://github.com/SeldonIO/alibi-detect,Apache-2.0,2019-10-07 13:29:13.000000,2021-02-18 15:13:47.000000,2021-02-18 15:13:47.000000,57,35.0,49.0,565,319.0,\"Algorithms for outlier and adversarial instance detection, concept drift and metrics.\",7.0,20,True,2021-02-18 15:12:29.000000,0.5.0,10.0,alibi-detect,,,,,20.0,19.0,https://pypi.org/project/alibi-detect,2021-02-18 15:10:09.000000,1.0,666.0,666.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n606,Mapbox GL,mapbox/mapboxgl-jupyter,,geospatial-data,https://github.com/mapbox/mapboxgl-jupyter,https://github.com/mapbox/mapboxgl-jupyter,MIT,2017-08-08 15:10:51.000000,2019-12-13 22:49:07.000000,2019-12-03 21:57:25.000000,119,34.0,67.0,556,220.0,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,20.0,20,False,2019-06-03 21:24:10.000000,0.10.2,20.0,mapboxgl,,,,['jupyter'],108.0,90.0,https://pypi.org/project/mapboxgl,2019-06-02 15:18:57.000000,18.0,3362.0,3362.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n607,bambi,bambinos/bambi,,probabilistics,https://github.com/bambinos/bambi,https://github.com/bambinos/bambi,MIT,2016-05-16 03:21:00.000000,2021-02-18 02:32:19.000000,2021-02-16 15:57:37.000000,50,27.0,128.0,545,524.0,BAyesian Model-Building Interface (Bambi) in Python.,15.0,20,True,2020-12-17 01:23:21.000000,0.3.0,10.0,bambi,,,,,13.0,10.0,https://pypi.org/project/bambi,2020-12-17 01:23:21.000000,3.0,180.0,180.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n608,lets-plot,JetBrains/lets-plot,,data-viz,https://github.com/JetBrains/lets-plot,https://github.com/JetBrains/lets-plot,MIT,2019-03-20 16:13:03.000000,2021-02-18 15:19:32.000000,2021-02-18 15:19:27.000000,15,59.0,78.0,509,1825.0,An open-source plotting library for statistical data.,15.0,20,True,2021-02-09 19:58:21.000000,2.0.0,28.0,lets-plot,,,,,7.0,7.0,https://pypi.org/project/lets-plot,2021-02-09 19:50:17.000000,,2492.0,2492.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n609,HpBandSter,automl/HpBandSter,,hyperopt,https://github.com/automl/HpBandSter,https://github.com/automl/HpBandSter,BSD-3-Clause,2017-12-17 20:28:20.000000,2021-01-31 10:05:37.000000,2019-03-26 09:26:28.000000,95,57.0,35.0,450,187.0,a distributed Hyperband implementation on Steroids.,11.0,20,False,2019-07-30 12:47:43.000000,1.0,8.0,hpbandster,,,,,136.0,120.0,https://pypi.org/project/hpbandster,2018-11-06 12:56:55.000000,16.0,6389.0,6389.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n610,Labml,lab-ml/labml,,ml-experiments,https://github.com/lab-ml/labml,https://github.com/lab-ml/labml,MIT,2018-11-16 09:34:48.000000,2021-02-16 10:22:52.000000,2021-02-16 10:22:45.000000,40,,6.0,426,916.0,Monitor PyTorch & TensorFlow model training from your mobile phone.,6.0,20,True,2021-02-16 10:22:36.000000,0.4.103,80.0,labml,,,,,21.0,21.0,https://pypi.org/project/labml,2021-02-16 10:22:36.000000,0.0,531.0,531.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n611,optunity,claesenm/optunity,,hyperopt,https://github.com/claesenm/optunity,https://github.com/claesenm/optunity,BSD-3-Clause,2014-05-28 17:29:11.000000,2020-05-11 14:32:39.000000,2020-05-11 14:32:38.000000,73,45.0,48.0,363,782.0,optimization routines for hyperparameter tuning.,9.0,20,True,2015-09-30 05:02:00.000000,1.1.1,6.0,optunity,,,,,65.0,58.0,https://pypi.org/project/optunity,2015-09-30 05:02:00.000000,7.0,6372.0,6372.0,,,,,,,,3.0,62.0,,,,,,,,,,,,,,,,,,,,,,\n612,pydlm,wwrechard/pydlm,,time-series-data,https://github.com/wwrechard/pydlm,https://github.com/wwrechard/pydlm,BSD-3-Clause,2016-06-29 07:58:53.000000,2020-07-26 21:00:50.000000,2019-10-22 07:18:40.000000,83,35.0,7.0,356,362.0,A python library for Bayesian time series modeling.,6.0,20,False,2016-11-06 01:43:35.000000,0.1.1,13.0,pydlm,,,,,18.0,16.0,https://pypi.org/project/pydlm,2018-12-19 10:27:54.000000,2.0,10211.0,10211.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n613,BioPandas,rasbt/biopandas,,others,https://github.com/rasbt/biopandas,https://github.com/rasbt/biopandas,BSD-3-Clause,2015-11-21 00:00:14.000000,2021-01-01 17:08:09.000000,2021-01-01 17:08:08.000000,76,16.0,18.0,325,144.0,Working with molecular structures in pandas DataFrames.,7.0,20,True,2020-08-04 13:52:27.000000,0.2.7,11.0,biopandas,conda-forge/biopandas,,,['pandas'],58.0,52.0,https://pypi.org/project/biopandas,2020-08-04 13:49:59.000000,6.0,196.0,1533.0,https://anaconda.org/conda-forge/biopandas,2020-08-08 06:33:59.197000,66890.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n614,explainerdashboard,oegedijk/explainerdashboard,,interpretability,https://github.com/oegedijk/explainerdashboard,https://github.com/oegedijk/explainerdashboard,MIT,2019-10-30 08:26:16.000000,2021-02-15 11:23:19.000000,2021-02-06 13:45:09.000000,45,9.0,63.0,318,544.0,Quickly build Explainable AI dashboards that show the inner workings of so-called blackbox machine learning models.,8.0,20,True,2021-01-31 13:47:03.000000,0.3.1,67.0,explainerdashboard,,,,,7.0,7.0,https://pypi.org/project/explainerdashboard,2021-01-31 13:47:03.000000,,1484.0,1484.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n615,MedPy,loli/medpy,,medical-data,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34.000000,2020-05-01 15:25:39.000000,2020-05-01 15:25:38.000000,106,9.0,65.0,314,324.0,Medical image processing in Python.,13.0,20,False,2019-02-14 17:12:59.000000,0.4.0,6.0,MedPy,,,,,253.0,223.0,https://pypi.org/project/MedPy,2019-02-14 17:12:59.000000,30.0,2198.0,2198.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n616,scikit-rebate,EpistasisLab/scikit-rebate,,others,https://github.com/EpistasisLab/scikit-rebate,https://github.com/EpistasisLab/scikit-rebate,MIT,2016-09-19 13:36:17.000000,2021-02-15 17:41:57.000000,2021-02-15 17:10:59.000000,58,13.0,18.0,309,283.0,\"A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for..\",13.0,20,True,2017-04-12 16:12:01.000000,0.3.4,12.0,skrebate,,,,['sklearn'],182.0,120.0,https://pypi.org/project/skrebate,2021-02-15 17:25:49.000000,62.0,818.0,818.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n617,Submit it,facebookincubator/submitit,,distributed-ml,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09.000000,2021-02-10 12:48:57.745000,2021-02-10 11:19:06.000000,19,10.0,18.0,307,54.0,Python 3.6+ toolbox for submitting jobs to Slurm.,9.0,20,True,2021-02-10 11:17:48.000000,1.2.1,10.0,submitit,conda-forge/submitit,,,,89.0,89.0,https://pypi.org/project/submitit,2021-02-10 11:17:48.000000,0.0,1726.0,1939.0,https://anaconda.org/conda-forge/submitit,2021-02-10 12:48:57.745000,1281.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n618,DESlib,scikit-learn-contrib/DESlib,,sklearn-utils,https://github.com/scikit-learn-contrib/DESlib,https://github.com/scikit-learn-contrib/DESlib,BSD-3-Clause,2017-12-08 22:49:49.000000,2021-02-09 20:14:24.000000,2021-02-09 20:14:21.000000,73,14.0,122.0,306,263.0,A Python library for dynamic classifier and ensemble selection.,12.0,20,True,2021-02-08 06:29:25.000000,0.3.5,4.0,deslib,,,,['sklearn'],14.0,14.0,https://pypi.org/project/deslib,2021-02-08 06:29:25.000000,0.0,152.0,152.0,,,,,,,,3.0,,3.0,,,,,,,,,,,,,,,,,,,,,\n619,sklearn-evaluation,edublancas/sklearn-evaluation,,interpretability,https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2015-09-04 16:33:42.000000,2020-12-28 15:14:00.000000,2020-12-28 15:10:09.000000,25,8.0,27.0,286,504.0,\"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook..\",5.0,20,True,2020-12-28 15:14:25.000000,0.5.4,16.0,sklearn-evaluation,,,,['sklearn'],29.0,27.0,https://pypi.org/project/sklearn-evaluation,2020-12-28 15:13:44.000000,2.0,246.0,246.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n620,rrcf,kLabUM/rrcf,,others,https://github.com/kLabUM/rrcf,https://github.com/kLabUM/rrcf,MIT,2018-10-20 05:39:05.000000,2021-01-13 23:05:23.000000,2020-06-10 01:07:39.000000,67,16.0,17.0,283,253.0,Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams.,4.0,20,True,2020-06-10 01:53:55.000000,0.4.3,7.0,rrcf,,,,,18.0,18.0,https://pypi.org/project/rrcf,2020-06-10 01:53:55.000000,,1900.0,1900.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n621,impyute,eltonlaw/impyute,,others,https://github.com/eltonlaw/impyute,https://github.com/eltonlaw/impyute,MIT,2017-01-21 09:16:27.000000,2020-06-12 21:08:40.000000,2019-10-05 20:39:08.000000,40,26.0,36.0,269,289.0,Data imputations library to preprocess datasets with missing data.,9.0,20,False,2019-04-29 02:31:32.000000,0.0.8,8.0,impyute,,,,,84.0,80.0,https://pypi.org/project/impyute,2019-04-29 02:31:32.000000,4.0,1248.0,1248.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n622,EarthPy,earthlab/earthpy,,geospatial-data,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000000,2021-02-17 13:02:26.000000,2021-02-15 21:20:42.000000,98,26.0,200.0,227,,A package built to support working with spatial data using open source python.,39.0,20,True,2020-06-18 23:58:08.000000,0.9.2,22.0,earthpy,conda-forge/earthpy,,,,82.0,76.0,https://pypi.org/project/earthpy,2020-06-18 23:58:08.000000,6.0,1240.0,2503.0,https://anaconda.org/conda-forge/earthpy,2020-06-19 15:23:44.425000,27786.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n623,StaticFrame,InvestmentSystems/static-frame,,data-containers,https://github.com/InvestmentSystems/static-frame,https://github.com/InvestmentSystems/static-frame,MIT,2018-01-03 15:07:52.000000,2021-02-18 02:03:22.000000,2021-02-18 02:03:13.000000,20,29.0,254.0,212,2363.0,\"The StaticFrame library defines the Series and Frame, immutable data structures for one- and two-dimensional..\",15.0,20,True,2021-02-07 20:52:29.000000,0.8.0,99.0,static-frame,conda-forge/static-frame,,,,6.0,6.0,https://pypi.org/project/static-frame,2021-02-07 20:50:20.000000,,630.0,3340.0,https://anaconda.org/conda-forge/static-frame,2021-02-08 05:30:08.690000,65040.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n624,fletcher,xhochy/fletcher,,data-containers,https://github.com/xhochy/fletcher,https://github.com/xhochy/fletcher,MIT,2018-03-04 16:44:22.000000,2021-02-18 14:46:18.000000,2021-02-18 14:46:18.000000,32,33.0,40.0,206,520.0,Pandas ExtensionDType/Array backed by Apache Arrow.,24.0,20,True,2021-01-17 20:11:01.000000,0.7.2,16.0,fletcher,conda-forge/fletcher,,,['pandas'],3.0,3.0,https://pypi.org/project/fletcher,2021-01-17 20:11:01.000000,0.0,219.0,849.0,https://anaconda.org/conda-forge/fletcher,2021-01-17 21:23:17.140000,19502.0,,,,,3.0,12.0,,,,,,,,,,,,,,,,,,,,,,\n625,Auto ViML,AutoViML/Auto_ViML,,hyperopt,https://github.com/AutoViML/Auto_ViML,https://github.com/AutoViML/Auto_ViML,Apache-2.0,2019-06-10 13:09:15.000000,2021-01-15 14:52:54.000000,2021-01-15 14:48:07.000000,52,3.0,13.0,206,284.0,Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome...,6.0,20,True,2021-01-15 14:52:54.000000,0.1.677,126.0,autoviml,,,,,13.0,13.0,https://pypi.org/project/autoviml,2021-01-15 14:52:54.000000,,156.0,156.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n626,scikit-posthocs,maximtrp/scikit-posthocs,,probabilistics,https://github.com/maximtrp/scikit-posthocs,https://github.com/maximtrp/scikit-posthocs,MIT,2017-06-22 19:41:37.000000,2021-02-17 18:01:16.000000,2021-02-17 18:01:15.000000,19,3.0,34.0,177,443.0,Pairwise Multiple Comparisons (Post Hoc) Tests in Python.,8.0,20,True,2020-10-12 19:15:07.000000,0.6.6,20.0,scikit-posthocs,,,,['sklearn'],3.0,,https://pypi.org/project/scikit-posthocs,2020-10-12 19:06:51.000000,3.0,9973.0,9973.0,,,,,,,,3.0,19.0,,,,,,,,,,,,,,,,,,,,,,\n627,graph-nets,deepmind/graph_nets,,graph,https://github.com/deepmind/graph_nets,https://github.com/deepmind/graph_nets,Apache-2.0,2018-08-31 08:19:28.000000,2020-12-04 17:43:48.000000,2020-12-04 17:43:47.000000,728,6.0,108.0,4791,47.0,Build Graph Nets in Tensorflow.,10.0,19,True,2020-01-29 16:00:25.000000,1.1.0,7.0,graph-nets,,,,['tensorflow'],7.0,,https://pypi.org/project/graph-nets,2020-01-29 16:00:25.000000,7.0,504.0,504.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n628,TRFL,deepmind/trfl,,reinforcement-learning,https://github.com/deepmind/trfl,https://github.com/deepmind/trfl,Apache-2.0,2018-08-08 14:44:11.000000,2020-11-06 04:44:44.000000,2020-04-20 13:05:56.000000,372,6.0,16.0,3062,116.0,TensorFlow Reinforcement Learning.,12.0,19,True,2020-04-20 14:11:57.000000,1.1.0,4.0,trfl,,,,['tensorflow'],40.0,38.0,https://pypi.org/project/trfl,2020-04-20 14:11:57.000000,2.0,442.0,442.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n629,AdaBound,Luolc/AdaBound,,pytorch-utils,https://github.com/Luolc/AdaBound,https://github.com/Luolc/AdaBound,Apache-2.0,2019-02-15 18:05:20.000000,2019-03-06 17:01:52.000000,2019-03-06 17:01:45.000000,323,16.0,7.0,2830,27.0,An optimizer that trains as fast as Adam and as good as SGD.,2.0,19,False,2019-03-06 16:44:42.000000,0.0.5,4.0,adabound,,,,['pytorch'],114.0,102.0,https://pypi.org/project/adabound,2019-02-26 04:23:45.000000,12.0,673.0,673.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n630,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,,graph,https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16.000000,2021-01-19 22:30:41.000000,2021-01-19 22:30:34.000000,361,31.0,100.0,2678,142.0,Generate embeddings from large-scale graph-structured data.,19.0,19,True,2019-10-14 16:45:11.000000,1.0.0,3.0,torchbiggraph,,,,['pytorch'],4.0,,https://pypi.org/project/torchbiggraph,2019-05-01 21:31:13.000000,4.0,303.0,308.0,,,,,,,,3.0,112.0,,,,,,,,,,,,,,,,,,,,,,\n631,DeepWalk,phanein/deepwalk,,graph,https://github.com/phanein/deepwalk,https://github.com/phanein/deepwalk,GPL-3.0,2014-08-23 03:38:20.000000,2020-04-02 01:05:36.000000,2020-04-02 01:05:35.000000,755,29.0,78.0,2177,46.0,DeepWalk - Deep Learning for Graphs.,10.0,19,False,2018-04-29 21:05:18.000000,1.0.3,4.0,deepwalk,,,,,43.0,36.0,https://pypi.org/project/deepwalk,2018-04-29 21:05:18.000000,7.0,720.0,720.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n632,Apache Singa,apache/singa,,distributed-ml,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000000,2021-01-29 11:48:23.000000,2021-01-15 13:09:22.000000,607,40.0,34.0,2172,2265.0,a distributed deep learning platform.,70.0,19,True,2020-04-21 08:01:08.000000,3.0.0,14.0,,nusdbsystem/singa,apache/singa,,,1.0,1.0,,,,,7.0,https://anaconda.org/nusdbsystem/singa,2021-01-20 03:00:28.355000,259.0,https://hub.docker.com/r/apache/singa,2019-06-04 04:32:52.195956,2.0,165.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n633,Kashgari,BrikerMan/Kashgari,,nlp,https://github.com/BrikerMan/Kashgari,https://github.com/BrikerMan/Kashgari,Apache-2.0,2019-01-19 01:53:28.000000,2020-12-09 02:13:33.000000,2020-10-29 08:08:00.000000,383,34.0,306.0,2027,,Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-..,19.0,19,True,2020-10-30 12:37:01.000000,2.0.1,23.0,kashgari-tf,,,,['tensorflow'],23.0,22.0,https://pypi.org/project/kashgari-tf,2019-10-18 07:57:55.000000,1.0,75.0,75.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n634,HiPlot,facebookresearch/hiplot,,data-viz,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41.000000,2021-02-10 16:12:37.041000,2021-02-10 11:52:12.000000,90,10.0,48.0,2007,121.0,HiPlot makes understanding high dimensional data easy.,6.0,19,True,2021-02-10 13:54:47.000000,0.1.23,42.0,hiplot,conda-forge/hiplot,,,,2.0,2.0,https://pypi.org/project/hiplot,2021-02-10 13:54:47.000000,0.0,1836.0,5734.0,https://anaconda.org/conda-forge/hiplot,2021-02-10 16:12:37.041000,46777.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n635,cuML,rapidsai/cuml,,gpu-utilities,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000000,2021-02-18 12:03:42.000000,2021-02-18 01:18:09.000000,310,629.0,972.0,1938,,cuML - RAPIDS Machine Learning Library.,121.0,19,True,2020-12-10 21:50:49.000000,0.17.0,7.0,cuml,,,,,0.0,,https://pypi.org/project/cuml,2020-06-01 20:09:10.000000,0.0,208.0,208.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n636,Coach,IntelLabs/coach,,reinforcement-learning,https://github.com/IntelLabs/coach,https://github.com/IntelLabs/coach,Apache-2.0,2017-10-01 19:27:43.000000,2021-02-09 13:54:52.000000,2021-02-09 13:54:44.000000,374,80.0,181.0,1919,513.0,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,34.0,19,True,2019-10-10 14:17:10.000000,1.0.1,13.0,rl_coach,,,,,1.0,,https://pypi.org/project/rl_coach,2019-10-10 14:17:10.000000,1.0,93.0,93.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n637,hiddenlayer,waleedka/hiddenlayer,,ml-experiments,https://github.com/waleedka/hiddenlayer,https://github.com/waleedka/hiddenlayer,MIT,2018-05-18 22:34:51.000000,2020-04-24 07:32:11.000000,2020-04-24 06:58:09.000000,195,44.0,32.0,1384,58.0,\"Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.\",6.0,19,True,2018-12-03 04:33:29.000000,0.2,3.0,hiddenlayer,,,,\"['pytorch', 'tensorflow', 'jupyter']\",66.0,58.0,https://pypi.org/project/hiddenlayer,2020-04-24 07:32:11.000000,8.0,1081.0,1081.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n638,Sweetviz,fbdesignpro/sweetviz,,data-viz,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47.000000,2021-02-05 19:49:33.000000,2021-02-05 19:48:51.000000,139,22.0,45.0,1245,83.0,\"Visualize and compare datasets, target values and associations, with one line of code.\",6.0,19,True,2021-02-05 19:49:33.000000,2.0.6,24.0,sweetviz,,,,,0.0,,https://pypi.org/project/sweetviz,2021-02-05 19:49:33.000000,0.0,5798.0,5798.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n639,doc2text,jlsutherland/doc2text,,ocr,https://github.com/jlsutherland/doc2text,https://github.com/jlsutherland/doc2text,MIT,2016-08-28 19:30:02.000000,2020-12-01 22:56:27.000000,2020-12-01 22:56:26.000000,92,12.0,9.0,1227,62.0,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,5.0,19,True,2016-09-06 21:59:21.000000,0.2.4,5.0,doc2text,,,,,32.0,32.0,https://pypi.org/project/doc2text,2016-09-06 21:59:21.000000,,192.0,192.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n640,TensorNets,taehoonlee/tensornets,,tensorflow-utils,https://github.com/taehoonlee/tensornets,https://github.com/taehoonlee/tensornets,MIT,2017-09-19 05:19:01.000000,2021-01-02 06:28:10.000000,2021-01-02 06:26:24.000000,187,14.0,42.0,979,284.0,High level network definitions with pre-trained weights in TensorFlow.,6.0,19,True,2020-03-31 04:38:27.000000,0.4.6,12.0,tensornets,,,,['tensorflow'],33.0,31.0,https://pypi.org/project/tensornets,2020-03-31 04:35:15.000000,2.0,123.0,123.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n641,CausalNex,quantumblacklabs/causalnex,,interpretability,https://github.com/quantumblacklabs/causalnex,https://github.com/quantumblacklabs/causalnex,Apache-2.0,2019-12-12 15:26:09.000000,2021-02-12 00:01:14.000000,2021-02-11 23:36:56.000000,107,31.0,35.0,972,93.0,A Python library that helps data scientists to infer causation rather than observing correlation.,16.0,19,True,2021-01-06 22:07:04.000000,0.9.1,13.0,causalnex,,,,\"['pytorch', 'sklearn']\",9.0,9.0,https://pypi.org/project/causalnex,2021-01-06 22:10:09.000000,,5590.0,5590.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n642,Skater,oracle/Skater,,interpretability,https://github.com/oracle/Skater,https://github.com/oracle/Skater,UPL-1.0,2017-01-26 05:45:42.000000,2020-11-01 15:57:12.273000,2020-06-29 20:07:12.000000,162,68.0,97.0,969,1101.0,Python Library for Model Interpretation/Explanations.,34.0,19,False,2018-09-21 07:03:32.000000,1.1.2,23.0,skater,conda-forge/skater,,,,,,https://pypi.org/project/skater,2018-09-21 07:03:32.000000,,6570.0,7338.0,https://anaconda.org/conda-forge/skater,2020-11-01 15:57:12.273000,33795.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n643,gplearn,trevorstephens/gplearn,,others,https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14.000000,2020-02-15 08:12:38.000000,2020-02-15 08:12:17.000000,153,31.0,116.0,906,146.0,\"Genetic Programming in Python, with a scikit-learn inspired API.\",10.0,19,True,2019-06-01 02:04:52.000000,0.4.1,5.0,gplearn,,,,['sklearn'],149.0,135.0,https://pypi.org/project/gplearn,2019-06-01 02:04:52.000000,14.0,529.0,529.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n644,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,,pytorch-utils,https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000000,2021-02-18 13:48:48.000000,2021-02-18 13:48:45.000000,71,3.0,14.0,902,610.0,PyTorch extensions for fast R&D prototyping and Kaggle farming.,5.0,19,True,2021-01-14 10:42:46.000000,0.4.1,19.0,pytorch_toolbelt,,,,['pytorch'],1.0,,https://pypi.org/project/pytorch_toolbelt,2021-01-14 10:42:46.000000,1.0,6191.0,6191.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n645,geoplotlib,andrea-cuttone/geoplotlib,,geospatial-data,https://github.com/andrea-cuttone/geoplotlib,https://github.com/andrea-cuttone/geoplotlib,MIT,2015-02-24 13:13:07.000000,2020-04-10 20:00:31.000000,2019-05-06 07:06:50.000000,144,24.0,18.0,894,159.0,python toolbox for visualizing geographical data and making maps.,8.0,19,False,2016-07-27 14:55:01.000000,0.3.2,4.0,geoplotlib,,,,,101.0,90.0,https://pypi.org/project/geoplotlib,2016-07-27 14:55:01.000000,11.0,757.0,757.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n646,calamari,Calamari-OCR/calamari,,ocr,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,Apache-2.0,2018-03-20 15:22:29.000000,2021-02-18 14:08:00.000000,2021-02-13 14:40:11.000000,164,21.0,147.0,778,334.0,Line based ATR Engine based on OCRopy.,17.0,19,True,2021-02-13 15:03:34.000000,2.0.1,24.0,calamari_ocr,,,,,2.0,,https://pypi.org/project/calamari_ocr,2018-11-13 11:24:45.000000,2.0,365.0,365.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n647,pytorch-forecasting,jdb78/pytorch-forecasting,,time-series-data,https://github.com/jdb78/pytorch-forecasting,https://github.com/jdb78/pytorch-forecasting,MIT,2020-07-03 13:05:24.000000,2021-02-17 09:06:17.000000,2021-02-17 09:06:10.000000,87,35.0,102.0,768,699.0,Time series forecasting with PyTorch.,16.0,19,True,2021-01-31 22:54:04.000000,0.8.3,24.0,pytorch-forecasting,,,,,,,https://pypi.org/project/pytorch-forecasting,2021-01-31 22:54:04.000000,,2674.0,2674.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n648,RecBole,RUCAIBox/RecBole,,recommender-systems,https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000000,2021-02-18 08:40:46.000000,2021-02-10 08:25:50.000000,106,26.0,56.0,746,2657.0,\"A unified, comprehensive and efficient recommendation library.\",27.0,19,True,2021-01-14 05:21:22.000000,0.2.0,4.0,recbole,aibox/recbole,,,['pytorch'],,,https://pypi.org/project/recbole,2021-01-14 05:21:22.000000,,70.0,137.0,https://anaconda.org/aibox/recbole,2021-01-14 06:11:03.469000,203.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n649,TF Recommenders,tensorflow/recommenders,,recommender-systems,https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01.000000,2021-02-01 19:46:51.000000,2021-02-01 19:46:41.000000,74,37.0,55.0,725,,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,17.0,19,True,2021-01-21 00:51:17.000000,0.4.0,8.0,tensorflow-recommenders,,,,['tensorflow'],12.0,12.0,https://pypi.org/project/tensorflow-recommenders,2021-01-21 00:51:17.000000,,1925.0,1925.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n650,NearPy,pixelogik/NearPy,,nn-search,https://github.com/pixelogik/NearPy,https://github.com/pixelogik/NearPy,MIT,2013-04-25 09:10:26.000000,2020-02-17 20:24:08.000000,2018-10-21 17:54:28.000000,135,23.0,38.0,660,159.0,\"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..\",18.0,19,False,2016-09-27 13:04:44.000000,1.0.0,8.0,NearPy,,,,,65.0,49.0,https://pypi.org/project/NearPy,2016-09-27 13:03:12.000000,16.0,881.0,881.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n651,Test Tube,williamFalcon/test-tube,,hyperopt,https://github.com/williamFalcon/test-tube,https://github.com/williamFalcon/test-tube,MIT,2017-09-06 02:14:57.000000,2021-01-17 20:04:39.000000,2020-03-17 22:44:47.000000,59,23.0,21.0,656,642.0,Python library to easily log experiments and parallelize hyperparameter search for neural networks.,16.0,19,True,2019-12-01 00:47:35.000000,0.7.4,53.0,test_tube,,,,,5.0,,https://pypi.org/project/test_tube,2018-12-12 22:45:59.000000,5.0,8032.0,8032.0,,,,,,,,3.0,8.0,,,,,,,,,,,,,,,,,,,,,,\n652,finetune,IndicoDataSolutions/finetune,,nlp,https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16.000000,2021-02-18 13:07:18.000000,2021-01-06 19:43:32.000000,67,18.0,115.0,631,1201.0,Scikit-learn style model finetuning for NLP.,18.0,19,True,2020-01-10 22:42:24.000000,0.8.6,37.0,finetune,,,,\"['tensorflow', 'sklearn']\",11.0,9.0,https://pypi.org/project/finetune,2020-01-10 22:42:24.000000,2.0,126.0,126.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n653,NGT,yahoojapan/NGT,,nn-search,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000000,2021-02-14 23:02:50.000000,2021-02-14 22:15:23.000000,68,8.0,69.0,625,123.0,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,11.0,19,True,2021-01-12 23:33:02.000000,1.12.3,47.0,ngt,,,,,6.0,,https://pypi.org/project/ngt,2020-09-23 06:52:45.000000,6.0,2036.0,2036.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n654,TensorBoard Logger,TeamHG-Memex/tensorboard_logger,,ml-experiments,https://github.com/TeamHG-Memex/tensorboard_logger,https://github.com/TeamHG-Memex/tensorboard_logger,MIT,2016-10-27 14:02:25.000000,2020-10-27 20:51:06.000000,2019-10-21 07:52:07.000000,52,9.0,15.0,609,46.0,Log TensorBoard events without touching TensorFlow.,5.0,19,False,2018-02-08 07:28:51.000000,0.1.0,5.0,tensorboard_logger,,,,,42.0,,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51.000000,42.0,34582.0,34582.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n655,matrixprofile-ts,target/matrixprofile-ts,,time-series-data,https://github.com/target/matrixprofile-ts,https://github.com/target/matrixprofile-ts,Apache-2.0,2018-09-10 19:03:34.000000,2020-04-25 18:38:20.000000,2020-04-25 18:37:42.000000,91,19.0,34.0,609,198.0,A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile.,15.0,19,True,2019-08-08 01:24:38.000000,0.0.9,9.0,matrixprofile-ts,,,,,12.0,12.0,https://pypi.org/project/matrixprofile-ts,2019-08-08 01:24:38.000000,,1221.0,1221.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n656,Objax,google/objax,,ml-frameworks,https://github.com/google/objax,https://github.com/google/objax,Apache-2.0,2020-08-20 06:20:40.000000,2021-02-12 00:35:51.000000,2021-02-12 00:35:50.000000,45,41.0,49.0,569,399.0,Objax is a machine learning framework that provides an Object Oriented layer for JAX.,19.0,19,True,2021-02-03 19:08:33.000000,1.3.1,6.0,objax,,,,['jax'],5.0,5.0,https://pypi.org/project/objax,2021-02-03 18:57:30.000000,0.0,749.0,749.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n657,PFRL,pfnet/pfrl,,reinforcement-learning,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50.000000,2021-02-09 01:41:25.000000,2021-02-03 02:45:05.000000,62,22.0,23.0,515,339.0,PFRL: a PyTorch-based deep reinforcement learning library.,11.0,19,True,2020-12-17 04:57:58.000000,0.2.1,4.0,pfrl,,,,,4.0,4.0,https://pypi.org/project/pfrl,2020-12-17 05:00:25.000000,,422.0,422.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n658,iterative-stratification,trent-b/iterative-stratification,,sklearn-utils,https://github.com/trent-b/iterative-stratification,https://github.com/trent-b/iterative-stratification,BSD-3-Clause,2018-02-04 00:32:10.000000,2020-09-12 15:32:44.000000,2020-09-12 15:35:02.000000,47,1.0,10.0,509,47.0,scikit-learn cross validators for iterative stratification of multilabel data.,4.0,19,True,2018-08-12 18:28:50.000000,0.1.6,5.0,iterative-stratification,,,,['sklearn'],122.0,108.0,https://pypi.org/project/iterative-stratification,2018-08-12 18:28:50.000000,14.0,2863.0,2863.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n659,deeplift,kundajelab/deeplift,,interpretability,https://github.com/kundajelab/deeplift,https://github.com/kundajelab/deeplift,MIT,2016-06-01 02:18:06.000000,2020-11-11 19:56:24.000000,2020-11-11 19:56:23.000000,125,29.0,46.0,500,551.0,Public facing deeplift repo.,11.0,19,True,2018-07-13 21:11:52.000000,0.6.6,21.0,deeplift,,,,,48.0,44.0,https://pypi.org/project/deeplift,2020-11-11 09:32:57.000000,4.0,403.0,403.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n660,N2,kakao/n2,,nn-search,https://github.com/kakao/n2,https://github.com/kakao/n2,Apache-2.0,2017-11-23 02:27:59.000000,2020-10-21 05:15:27.000000,2020-10-21 05:14:11.000000,52,17.0,22.0,456,242.0,TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets.,17.0,19,True,2020-10-16 03:43:47.000000,0.1.7,9.0,n2,,,,,16.0,12.0,https://pypi.org/project/n2,2020-10-16 03:10:01.000000,4.0,334.0,334.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n661,Poutyne,GRAAL-Research/poutyne,,pytorch-utils,https://github.com/GRAAL-Research/poutyne,https://github.com/GRAAL-Research/poutyne,LGPL-3.0,2017-12-07 18:30:17.000000,2021-02-18 05:13:42.000000,2021-02-11 20:43:01.000000,49,7.0,35.0,449,522.0,A simplified framework and utilities for PyTorch.,15.0,19,False,2021-02-11 20:50:22.000000,1.3,19.0,poutyne,,,,['pytorch'],58.0,54.0,https://pypi.org/project/poutyne,2021-02-11 20:50:51.000000,4.0,321.0,321.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n662,What-If Tool,PAIR-code/what-if-tool,,interpretability,https://github.com/PAIR-code/what-if-tool,https://github.com/PAIR-code/what-if-tool,Apache-2.0,2018-09-07 20:26:10.000000,2021-01-19 14:40:37.214000,2021-01-19 14:26:52.000000,93,34.0,35.0,444,313.0,Source code/webpage/demos for the What-If Tool.,18.0,19,True,2021-01-19 14:40:37.214000,1.8.0,38.0,witwidget,,,,,0.0,,https://pypi.org/project/witwidget,2021-01-19 14:40:21.000000,0.0,3300.0,6660.0,,,,,,,,3.0,,,,wit-widget,https://www.npmjs.com/package/wit-widget,2021-01-19 14:40:37.214000,,3360.0,,,,,,,,,,,,,,,\n663,seglearn,dmbee/seglearn,,time-series-data,https://github.com/dmbee/seglearn,https://github.com/dmbee/seglearn,BSD-3-Clause,2018-03-05 20:53:59.000000,2021-01-17 19:11:59.000000,2021-01-16 23:21:41.000000,47,6.0,21.0,431,267.0,Python module for machine learning time series:.,13.0,19,True,2020-04-02 15:26:06.000000,1.2.1,21.0,seglearn,,,,,8.0,7.0,https://pypi.org/project/seglearn,2021-01-17 19:11:59.000000,1.0,1215.0,1215.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n664,pivottablejs,nicolaskruchten/jupyter_pivottablejs,,data-viz,https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,MIT,2015-09-09 13:39:18.000000,2018-12-04 14:43:26.000000,2018-12-04 14:43:25.000000,57,16.0,37.0,419,32.0,\"Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js.\",3.0,19,False,2018-01-15 18:14:37.000000,0.9.0,10.0,pivottablejs,,,,['jupyter'],158.0,144.0,https://pypi.org/project/pivottablejs,2018-01-15 18:14:37.000000,14.0,3493.0,3493.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n665,animatplot,t-makaro/animatplot,,data-viz,https://github.com/t-makaro/animatplot,https://github.com/t-makaro/animatplot,MIT,2017-04-03 00:54:04.000000,2020-10-06 02:02:00.460000,2020-10-05 06:14:18.000000,33,16.0,15.0,356,178.0,A python package for animating plots build on matplotlib.,7.0,19,True,2020-10-05 06:20:52.000000,0.4.2,10.0,animatplot,conda-forge/animatplot,,,,15.0,14.0,https://pypi.org/project/animatplot,2020-10-05 06:20:52.000000,1.0,79.0,296.0,https://anaconda.org/conda-forge/animatplot,2020-10-06 02:02:00.460000,5231.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n666,MXBoard,awslabs/mxboard,,ml-experiments,https://github.com/awslabs/mxboard,https://github.com/awslabs/mxboard,Apache-2.0,2018-02-06 23:03:51.000000,2020-01-24 23:21:56.000000,2020-01-24 23:21:55.000000,46,16.0,15.0,330,42.0,Logging MXNet data for visualization in TensorBoard.,9.0,19,False,2018-05-22 20:25:51.000000,0.1.0,12.0,mxboard,,,,['mxnet'],107.0,95.0,https://pypi.org/project/mxboard,2018-05-22 20:25:51.000000,12.0,2582.0,2582.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n667,PyKEEN,pykeen/pykeen,,graph,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000000,2021-02-17 17:55:20.000000,2021-02-17 17:14:43.000000,52,63.0,75.0,316,2298.0,A Python library for learning and evaluating knowledge graph embeddings.,17.0,19,True,2021-02-15 14:17:06.000000,1.3.0,34.0,pykeen,,,,,2.0,,https://pypi.org/project/pykeen,2021-02-12 21:55:47.000000,2.0,175.0,184.0,,,,,,,,3.0,79.0,,,,,,,,,,,,,,,,,,,,,,\n668,apricot,jmschrei/apricot,,others,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12.000000,2021-02-18 03:37:56.000000,2021-02-18 03:37:55.000000,29,3.0,12.0,303,167.0,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,2.0,19,True,2020-09-28 07:19:15.000000,0.6.0,13.0,apricot-select,,,,,13.0,13.0,https://pypi.org/project/apricot-select,2020-09-28 07:19:15.000000,0.0,175.0,175.0,,,,,,,,3.0,8.0,,,,,,,,,,,,,,,,,,,,,,\n669,AutoViz,AutoViML/AutoViz,,data-viz,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06.000000,2020-12-21 03:22:01.000000,2020-12-21 03:21:52.000000,54,5.0,16.0,299,97.0,\"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..\",10.0,19,True,2020-12-10 02:33:19.000000,0.0.81,26.0,autoviz,,,,,30.0,30.0,https://pypi.org/project/autoviz,2020-12-10 02:33:19.000000,,914.0,914.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n670,textpipe,textpipe/textpipe,,nlp,https://github.com/textpipe/textpipe,https://github.com/textpipe/textpipe,MIT,2018-06-21 16:23:32.000000,2021-02-15 08:12:34.000000,2021-01-25 14:01:56.000000,20,21.0,25.0,272,370.0,Textpipe: clean and extract metadata from text.,27.0,19,True,2021-01-25 14:05:21.000000,0.12.2,39.0,textpipe,,,,,8.0,7.0,https://pypi.org/project/textpipe,2021-01-25 14:05:21.000000,1.0,634.0,634.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n671,scikit-tda,scikit-tda/scikit-tda,,sklearn-utils,https://github.com/scikit-tda/scikit-tda,https://github.com/scikit-tda/scikit-tda,MIT,2018-04-13 21:00:31.000000,2021-01-09 19:51:04.000000,2021-01-09 19:50:05.000000,32,11.0,3.0,266,56.0,Topological Data Analysis for Python.,2.0,19,True,2021-01-09 19:51:04.000000,0.1.0,3.0,scikit-tda,,,,['sklearn'],18.0,18.0,https://pypi.org/project/scikit-tda,2021-01-09 19:51:04.000000,,2917.0,2917.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n672,recmetrics,statisticianinstilettos/recmetrics,,recommender-systems,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49.000000,2020-12-03 21:21:02.000000,2020-12-03 21:21:00.000000,54,7.0,7.0,235,233.0,A library of metrics for evaluating recommender systems.,12.0,19,True,2019-02-10 16:12:38.000000,0.0.9,11.0,recmetrics,,,,,16.0,16.0,https://pypi.org/project/recmetrics,2019-02-10 16:12:38.000000,,706.0,706.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n673,Brainiak,brainiak/brainiak,,medical-data,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27.000000,2021-02-17 17:03:09.000000,2020-10-15 16:28:46.000000,106,65.0,117.0,229,388.0,Brain Imaging Analysis Kit.,32.0,19,True,2019-08-27 23:52:29.000000,0.9.1,15.0,brainiak,,brainiak/brainiak,,,13.0,12.0,https://pypi.org/project/brainiak,2020-10-15 20:45:08.000000,1.0,108.0,116.0,,,,https://hub.docker.com/r/brainiak/brainiak,2020-10-15 21:11:03.379549,1.0,489.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n674,pyfasttext,vrasneur/pyfasttext,,nlp,https://github.com/vrasneur/pyfasttext,https://github.com/vrasneur/pyfasttext,GPL-3.0,2017-06-30 18:44:42.000000,2018-12-08 15:32:09.000000,2018-12-08 15:02:12.000000,31,19.0,28.0,228,153.0,Yet another Python binding for fastText.,4.0,19,False,2018-12-08 15:02:54.000000,0.4.6,13.0,pyfasttext,,,,,147.0,142.0,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09.000000,5.0,1302.0,1309.0,,,,,,,,3.0,318.0,,,,,,,,,,,,,,,,,,,,,,\n675,pymap3d,geospace-code/pymap3d,,geospatial-data,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03.000000,2021-02-07 08:49:00.919000,2021-02-07 06:25:44.000000,56,2.0,22.0,176,,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,8.0,19,True,2021-02-07 06:29:31.000000,2.5.0,46.0,pymap3d,conda-forge/pymap3d,,,,6.0,,https://pypi.org/project/pymap3d,2021-02-07 06:29:31.000000,6.0,12978.0,13573.0,https://anaconda.org/conda-forge/pymap3d,2021-02-07 08:49:00.919000,6553.0,,,,,3.0,,-2.0,,,,,,,,,,,,,,,,,,,,,\n676,gokart,m3dev/gokart,,ml-experiments,https://github.com/m3dev/gokart,https://github.com/m3dev/gokart,MIT,2018-12-23 07:40:27.000000,2021-02-16 05:33:50.000000,2021-02-16 05:33:50.000000,29,9.0,26.0,164,328.0,A wrapper of the data pipeline library luigi.,24.0,19,True,2021-01-29 04:20:56.000000,0.3.26,50.0,gokart,,,,,2.0,,https://pypi.org/project/gokart,2020-02-25 06:01:19.000000,2.0,452.0,452.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n677,Funsor,pyro-ppl/funsor,,probabilistics,https://github.com/pyro-ppl/funsor,https://github.com/pyro-ppl/funsor,Apache-2.0,2019-01-30 23:13:39.000000,2021-02-18 05:58:48.000000,2021-02-17 03:20:25.000000,15,70.0,63.0,162,486.0,Functional tensors for probabilistic programming.,9.0,19,True,2021-01-24 17:27:54.000000,0.4.0,6.0,funsor,,,,['pytorch'],10.0,10.0,https://pypi.org/project/funsor,2021-01-24 17:26:50.000000,0.0,243.0,243.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n678,ploomber,ploomber/ploomber,,data-pipelines,https://github.com/ploomber/ploomber,https://github.com/ploomber/ploomber,Apache-2.0,2020-01-20 20:13:06.000000,2021-02-18 00:17:16.000000,2021-02-15 13:54:50.000000,2,47.0,235.0,159,1606.0,\"A convention over configuration workflow orchestrator. Develop locally (Jupyter or your favorite editor), deploy to..\",4.0,19,True,2021-02-11 23:36:53.000000,0.9.2,37.0,ploomber,,,,,13.0,13.0,https://pypi.org/project/ploomber,2021-02-15 14:12:10.000000,0.0,853.0,853.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n679,Glow,projectglow/glow,,medical-data,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47.000000,2021-02-09 17:45:43.000000,2021-02-09 00:42:32.000000,40,14.0,54.0,158,315.0,An open-source toolkit for large-scale genomic analysis.,11.0,19,True,2021-02-09 17:45:43.000000,1.0.0,10.0,glow.py,,,,,,,https://pypi.org/project/glow.py,2021-02-08 22:11:48.000000,,1754.0,1754.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n680,BytePS,bytedance/byteps,,distributed-ml,https://github.com/bytedance/byteps,https://github.com/bytedance/byteps,Apache-2.0,2019-06-25 07:00:13.000000,2021-02-17 07:35:30.000000,2021-02-17 07:35:29.000000,366,74.0,140.0,2696,413.0,A high performance and generic framework for distributed DNN training.,18.0,18,True,2020-08-27 15:42:13.000000,0.2.4,7.0,byteps,,bytepsimage/tensorflow,,,,,https://pypi.org/project/byteps,2020-11-04 00:05:46.000000,,74.0,125.0,,,,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,1020.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n681,vit-pytorch,lucidrains/vit-pytorch,,image,https://github.com/lucidrains/vit-pytorch,https://github.com/lucidrains/vit-pytorch,MIT,2020-10-03 22:47:24.000000,2021-02-17 23:30:49.000000,2021-02-17 23:30:45.000000,255,24.0,42.0,2642,,\"Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single..\",4.0,18,True,2021-02-17 15:38:59.000000,0.6.8,26.0,vit-pytorch,,,,['pytorch'],5.0,5.0,https://pypi.org/project/vit-pytorch,2021-02-17 15:38:59.000000,,649.0,649.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n682,Crypto Signals,CryptoSignal/crypto-signal,,financial-data,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24.000000,2021-02-18 09:15:31.000000,2020-09-03 12:26:48.000000,691,39.0,191.0,2598,563.0,\"Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 2,100 + stars, 580 + forks.\",25.0,18,True,,,,,,shadowreaver/crypto-signal,,,,,,,,,1024.0,,,,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133,8.0,42021.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n683,spark-deep-learning,databricks/spark-deep-learning,,data-pipelines,https://github.com/databricks/spark-deep-learning,https://github.com/databricks/spark-deep-learning,Apache-2.0,2017-05-31 17:30:28.000000,2021-01-20 15:05:13.000000,2021-01-20 15:00:20.000000,447,74.0,26.0,1809,135.0,Deep Learning Pipelines for Apache Spark.,15.0,18,True,2020-01-08 19:50:31.000000,1.6.0,9.0,,,,,['spark'],16.0,16.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n684,Mara Pipelines,mara/mara-pipelines,,data-pipelines,https://github.com/mara/mara-pipelines,https://github.com/mara/mara-pipelines,MIT,2018-03-31 20:37:22.000000,2021-01-23 23:22:28.000000,2021-01-23 23:22:27.000000,80,11.0,12.0,1622,131.0,\"A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow.\",16.0,18,True,2021-01-23 22:34:03.000000,3.1.2,7.0,mara-pipelines,,,,,7.0,7.0,https://pypi.org/project/mara-pipelines,2021-01-23 22:34:03.000000,,42.0,42.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n685,riko,nerevu/riko,,data-pipelines,https://github.com/nerevu/riko,https://github.com/nerevu/riko,MIT,2016-06-02 12:22:51.000000,2020-08-14 18:29:28.000000,2020-08-14 16:47:45.000000,72,22.0,8.0,1556,1257.0,A Python stream processing engine modeled after Yahoo! Pipes.,18.0,18,True,2020-08-14 18:29:28.000000,0.66.0,58.0,riko,,,,,1.0,,https://pypi.org/project/riko,2020-08-14 18:29:28.000000,1.0,199.0,199.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n686,Higher,facebookresearch/higher,,pytorch-utils,https://github.com/facebookresearch/higher,https://github.com/facebookresearch/higher,Apache-2.0,2019-09-06 18:58:36.000000,2020-11-23 06:15:24.000000,2020-10-28 16:53:07.000000,75,27.0,47.0,1048,28.0,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,6.0,18,True,2020-07-14 12:20:32.000000,0.2.1,2.0,higher,,,,['pytorch'],34.0,34.0,https://pypi.org/project/higher,2020-07-14 12:20:32.000000,0.0,5515.0,5515.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n687,TaskTiger,closeio/tasktiger,,data-pipelines,https://github.com/closeio/tasktiger,https://github.com/closeio/tasktiger,MIT,2015-05-14 00:26:32.000000,2021-02-17 17:06:00.000000,2021-02-17 17:06:00.000000,58,30.0,31.0,1045,252.0,Python task queue using Redis.,19.0,18,True,2019-10-29 19:32:58.000000,0.10.1,22.0,tasktiger,,,,,29.0,20.0,https://pypi.org/project/tasktiger,2020-06-18 22:08:56.000000,9.0,114.0,114.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n688,Paddle Graph Learning,PaddlePaddle/PGL,,graph,https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28.000000,2021-02-09 03:10:24.000000,2021-02-02 13:13:43.000000,119,17.0,28.0,904,,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,19.0,18,True,2021-02-02 13:17:55.000000,2.1.1,8.0,pgl,,,,['paddle'],11.0,9.0,https://pypi.org/project/pgl,2021-02-05 11:50:46.000000,2.0,188.0,188.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n689,Norfair,tryolabs/norfair,,image,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000000,2021-02-18 12:02:56.000000,2021-02-17 20:57:42.000000,55,5.0,15.0,900,258.0,Lightweight Python library for adding real-time 2D object tracking to any detector.,7.0,18,True,2021-02-17 21:29:11.000000,0.2.0,10.0,norfair,,,,,,,https://pypi.org/project/norfair,2021-02-17 21:29:11.000000,,250.0,250.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n690,Databolt Flow,d6t/d6tflow,,data-pipelines,https://github.com/d6t/d6tflow,https://github.com/d6t/d6tflow,MIT,2019-02-03 01:51:22.000000,2021-01-01 18:15:45.000000,2020-12-19 21:46:11.000000,65,7.0,11.0,896,106.0,Python library for building highly effective data science workflows.,10.0,18,True,2020-12-19 22:37:20.000000,0.2.2,19.0,d6tflow,,,,,12.0,12.0,https://pypi.org/project/d6tflow,2020-12-19 22:37:20.000000,,61.0,61.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n691,DALEX,ModelOriented/DALEX,,interpretability,https://github.com/ModelOriented/DALEX,https://github.com/ModelOriented/DALEX,GPL-3.0,2018-02-18 03:24:12.000000,2021-02-17 09:23:33.000000,2021-01-06 20:33:02.000000,108,8.0,248.0,774,531.0,moDel Agnostic Language for Exploration and eXplanation.,16.0,18,False,2021-01-04 17:21:32.000000,1.0.0,18.0,dalex,,,,,7.0,7.0,https://pypi.org/project/dalex,2020-12-28 23:47:30.000000,,526.0,526.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n692,TensorFrames,databricks/tensorframes,,distributed-ml,https://github.com/databricks/tensorframes,https://github.com/databricks/tensorframes,Apache-2.0,2016-03-04 19:25:19.000000,2020-11-13 17:47:02.000000,2019-11-15 21:43:53.000000,158,51.0,43.0,767,221.0,[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark.,16.0,18,False,2018-11-16 20:50:02.000000,0.6.0,6.0,tensorframes,,,,\"['tensorflow', 'spark']\",,,https://pypi.org/project/tensorframes,2018-05-16 14:20:28.000000,,2196.0,2196.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n693,tffm,geffy/tffm,,tensorflow-utils,https://github.com/geffy/tffm,https://github.com/geffy/tffm,MIT,2016-05-02 17:06:07.000000,2020-05-22 21:40:58.000000,2020-05-22 21:40:57.000000,174,17.0,20.0,756,106.0,TensorFlow implementation of an arbitrary order Factorization Machine.,10.0,18,True,2018-01-27 11:43:26.000000,1.0.1,2.0,tffm,,,,['tensorflow'],11.0,10.0,https://pypi.org/project/tffm,2018-01-27 11:43:26.000000,1.0,759.0,759.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n694,pytorch2keras,nerox8664/pytorch2keras,,model-serialisation,https://github.com/nerox8664/pytorch2keras,https://github.com/nerox8664/pytorch2keras,MIT,2017-11-16 20:21:43.000000,2020-05-14 10:03:56.000000,2020-05-14 10:03:04.000000,113,41.0,66.0,666,277.0,PyTorch to Keras model convertor.,11.0,18,True,2020-05-14 10:03:56.000000,0.2.4,23.0,pytorch2keras,,,,,19.0,18.0,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56.000000,1.0,311.0,311.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n695,vecstack,vecxoz/vecstack,,others,https://github.com/vecxoz/vecstack,https://github.com/vecxoz/vecstack,MIT,2016-11-08 13:23:21.000000,2020-09-14 08:31:07.000000,2019-10-30 09:27:48.000000,66,1.0,34.0,580,189.0,Python package for stacking (machine learning technique).,1.0,18,False,2019-08-12 16:09:01.000000,0.4.0,6.0,vecstack,,,,,113.0,109.0,https://pypi.org/project/vecstack,2019-08-12 16:01:22.000000,4.0,710.0,710.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n696,Torchbearer,pytorchbearer/torchbearer,,ml-frameworks,https://github.com/pytorchbearer/torchbearer,https://github.com/pytorchbearer/torchbearer,MIT,2018-03-12 16:30:42.000000,2020-02-17 21:18:06.000000,2020-02-17 21:18:01.000000,62,8.0,237.0,578,427.0,torchbearer: A model fitting library for PyTorch.,13.0,18,True,2020-01-31 14:07:22.000000,0.5.3,24.0,torchbearer,,,,['pytorch'],41.0,38.0,https://pypi.org/project/torchbearer,2020-01-31 14:05:56.000000,3.0,328.0,328.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n697,pyhsmm,mattjj/pyhsmm,,probabilistics,https://github.com/mattjj/pyhsmm,https://github.com/mattjj/pyhsmm,MIT,2012-03-18 17:40:13.000000,2020-09-29 20:58:26.000000,2020-08-24 17:03:59.000000,148,34.0,60.0,484,1426.0,Bayesian inference in HSMMs and HMMs.,13.0,18,True,2017-05-10 17:14:37.000000,0.1.7,8.0,pyhsmm,,,,,21.0,17.0,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37.000000,4.0,46.0,46.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n698,robustness,MadryLab/robustness,,adversarial,https://github.com/MadryLab/robustness,https://github.com/MadryLab/robustness,MIT,2019-08-21 09:26:33.000000,2021-02-12 21:42:36.000000,2020-12-01 05:49:45.000000,84,5.0,49.0,477,137.0,\"A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.\",11.0,18,True,2020-12-01 06:11:12.000000,1.2.1.post2,8.0,robustness,,,,,38.0,37.0,https://pypi.org/project/robustness,2020-08-05 04:42:24.000000,1.0,281.0,281.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n699,Feature Engine,solegalli/feature_engine,,others,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2018-12-31 01:47:18.000000,2021-02-02 00:46:09.000000,2021-01-23 11:51:12.000000,131,26.0,74.0,449,104.0,Feature engineering package with sklearn like functionality.,20.0,18,True,2021-01-23 12:03:16.000000,1.0.2,25.0,feature_engine,conda-forge/feature_engine,,,,2.0,,https://pypi.org/project/feature_engine,2021-01-23 12:03:16.000000,2.0,7800.0,8062.0,https://anaconda.org/conda-forge/feature_engine,2021-01-25 12:36:37.909000,1577.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n700,PyWaffle,gyli/PyWaffle,,data-viz,https://github.com/gyli/PyWaffle,https://github.com/gyli/PyWaffle,MIT,2017-11-14 20:03:47.000000,2020-07-26 23:22:17.000000,2020-07-26 23:22:13.000000,63,2.0,10.0,397,249.0,Make Waffle Charts in Python.,6.0,18,True,2020-07-26 19:16:45.000000,0.6.1,22.0,pywaffle,,,,,41.0,41.0,https://pypi.org/project/pywaffle,2020-07-26 19:16:45.000000,,697.0,697.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n701,Camphr,PKSHATechnology-Research/camphr,,nlp,https://github.com/PKSHATechnology-Research/camphr,https://github.com/PKSHATechnology-Research/camphr,Apache-2.0,2020-02-10 03:39:58.000000,2021-02-18 10:02:29.000000,2021-02-18 09:58:49.000000,17,12.0,16.0,327,1151.0,\"spaCy plugin for Transformers , Udify, ELmo, etc.\",7.0,18,True,2021-02-18 07:39:01.000000,0.8.3,41.0,camphr,,,,['spacy'],0.0,,https://pypi.org/project/camphr,2021-02-18 07:39:01.000000,0.0,251.0,251.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n702,sk-dist,Ibotta/sk-dist,,distributed-ml,https://github.com/Ibotta/sk-dist,https://github.com/Ibotta/sk-dist,Apache-2.0,2019-08-14 21:07:17.000000,2021-01-07 17:01:27.000000,2021-01-07 17:01:23.000000,43,7.0,9.0,255,46.0,Distributed scikit-learn meta-estimators in PySpark.,6.0,18,True,2020-05-14 22:20:14.000000,0.1.9,12.0,sk-dist,,,,\"['sklearn', 'spark']\",8.0,6.0,https://pypi.org/project/sk-dist,2020-05-14 22:20:14.000000,2.0,3273.0,3273.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n703,DeepGraph,deepgraph/deepgraph,,graph,https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45.000000,2021-01-15 08:36:25.609000,2020-10-01 13:17:00.000000,33,7.0,5.0,228,160.0,Analyze Data with Pandas-based Networks. Documentation:.,2.0,18,True,2020-10-01 13:20:38.000000,0.2.3,13.0,deepgraph,conda-forge/deepgraph,,,['pandas'],1.0,1.0,https://pypi.org/project/deepgraph,2020-10-01 13:18:38.000000,,142.0,2048.0,https://anaconda.org/conda-forge/deepgraph,2021-01-15 08:36:25.609000,80061.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n704,ivis,beringresearch/ivis,,data-viz,https://github.com/beringresearch/ivis,https://github.com/beringresearch/ivis,GPL-2.0,2018-08-13 08:31:01.000000,2021-01-20 11:32:35.000000,2021-01-20 11:32:25.000000,20,4.0,41.0,221,517.0,Dimensionality reduction in very large datasets using Siamese Networks.,7.0,18,False,2021-01-06 17:09:59.000000,2.0.1,27.0,ivis,,,,['tensorflow'],14.0,14.0,https://pypi.org/project/ivis,2021-01-06 17:07:15.000000,0.0,338.0,338.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n705,skift,shaypal5/skift,,nlp,https://github.com/shaypal5/skift,https://github.com/shaypal5/skift,MIT,2018-02-03 11:37:21.000000,2021-01-19 11:35:21.000000,2021-01-19 11:35:09.000000,22,2.0,8.0,209,127.0,scikit-learn wrappers for Python fastText.,6.0,18,True,2020-08-04 07:56:43.000000,0.0.18,15.0,skift,,,,['sklearn'],8.0,8.0,https://pypi.org/project/skift,2020-08-27 15:01:05.000000,,1735.0,1735.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n706,FiftyOne,voxel51/fiftyone,,data-viz,https://github.com/voxel51/fiftyone,https://github.com/voxel51/fiftyone,Apache-2.0,2020-04-22 13:43:28.000000,2021-02-18 15:22:02.000000,2021-02-18 15:21:29.000000,18,128.0,210.0,209,5467.0,\"Visualize, create, and debug image and video datasets and model predictions.\",10.0,18,True,2021-02-18 14:35:21.000000,0.7.3,40.0,fiftyone,,,,\"['tensorflow', 'pytorch', 'jupyter']\",,,https://pypi.org/project/fiftyone,2021-02-18 14:35:21.000000,,307.0,307.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n707,fairness-indicators,tensorflow/fairness-indicators,,interpretability,https://github.com/tensorflow/fairness-indicators,https://github.com/tensorflow/fairness-indicators,Apache-2.0,2019-09-30 22:56:45.000000,2021-02-17 22:01:03.000000,2021-02-11 23:03:16.000000,53,15.0,5.0,180,243.0,Tensorflow's Fairness Evaluation and Visualization Toolkit.,19.0,18,True,2021-01-28 22:09:49.000000,0.27.0,13.0,fairness-indicators,,,,\"['tensorflow', 'jupyter']\",,,https://pypi.org/project/fairness-indicators,2021-01-28 22:09:49.000000,,231.0,231.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n708,Auto TS,AutoViML/Auto_TS,,time-series-data,https://github.com/AutoViML/Auto_TS,https://github.com/AutoViML/Auto_TS,Apache-2.0,2020-02-15 15:23:32.000000,2021-01-24 03:19:22.000000,2021-01-24 03:17:19.000000,35,8.0,23.0,173,230.0,\"Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of..\",5.0,18,True,2021-01-24 03:19:22.000000,0.0.35,14.0,auto-ts,,,,,,,https://pypi.org/project/auto-ts,2021-01-24 03:19:22.000000,,268.0,268.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n709,flupy,olirice/flupy,,data-pipelines,https://github.com/olirice/flupy,https://github.com/olirice/flupy,MIT,2018-01-06 16:46:04.000000,2021-01-06 12:37:41.000000,2021-01-06 12:37:33.000000,9,,7.0,152,176.0,Fluent data pipelines for python and your shell.,4.0,18,True,2021-01-06 12:37:15.000000,1.1.6,34.0,flupy,,,,,0.0,,https://pypi.org/project/flupy,2021-01-06 12:37:15.000000,0.0,3049.0,3049.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n710,nvidia-ml-py3,nicolargo/nvidia-ml-py3,,gpu-utilities,https://github.com/nicolargo/nvidia-ml-py3,https://github.com/nicolargo/nvidia-ml-py3,BSD-3-Clause,2017-06-03 07:47:03.000000,2019-03-06 20:41:10.000000,2019-03-06 20:41:09.000000,14,2.0,,64,5.0,Python 3 Bindings for the NVIDIA Management Library.,2.0,18,False,2017-06-03 07:43:46.000000,7.352.0,1.0,nvidia-ml-py3,,,,,2875.0,2655.0,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46.000000,220.0,267213.0,267213.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n711,DeepMind Lab,deepmind/lab,,reinforcement-learning,https://github.com/deepmind/lab,https://github.com/deepmind/lab,GPL-2.0,2016-11-30 13:41:26.000000,2021-01-29 16:39:16.000000,2021-01-24 11:42:21.000000,1286,37.0,153.0,6402,477.0,A customisable 3D platform for agent-based AI research.,7.0,17,False,2020-12-07 11:26:33.000000,release-2020-12-07,8.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n712,Spotlight,maciejkula/spotlight,,recommender-systems,https://github.com/maciejkula/spotlight,https://github.com/maciejkula/spotlight,MIT,2017-06-25 18:52:19.000000,2020-11-15 08:21:28.000000,2020-02-09 21:03:48.000000,372,67.0,48.0,2410,299.0,Deep recommender models using PyTorch.,11.0,17,True,2019-09-08 10:19:53.000000,0.1.6,7.0,,maciejkula/spotlight,,,['pytorch'],,,,,,,135.0,https://anaconda.org/maciejkula/spotlight,2018-05-27 18:32:12.235000,5983.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n713,LIT,PAIR-code/lit,,interpretability,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000000,2021-02-18 08:06:58.000000,2020-11-17 00:43:10.000000,237,39.0,30.0,2377,,The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and..,10.0,17,True,2020-11-17 00:53:31.000000,0.2,4.0,lit-nlp,,,,,1.0,1.0,https://pypi.org/project/lit-nlp,2020-11-17 00:52:37.000000,,265.0,265.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n714,PaddleDetection,PaddlePaddle/PaddleDetection,,image,https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000000,2021-02-18 12:12:12.000000,2021-02-02 02:23:00.000000,642,335.0,872.0,2284,731.0,Object detection and instance segmentation toolkit based on PaddlePaddle.,44.0,17,True,2019-11-27 05:15:38.000000,0.1.0,1.0,,,,,['paddle'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n715,NeuroNER,Franck-Dernoncourt/NeuroNER,,nlp,https://github.com/Franck-Dernoncourt/NeuroNER,https://github.com/Franck-Dernoncourt/NeuroNER,MIT,2017-03-07 01:24:15.000000,2020-11-13 18:07:48.000000,2019-10-02 23:26:11.000000,440,79.0,67.0,1536,132.0,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,7.0,17,False,2019-10-02 23:30:15.000000,1.0.8,7.0,pyneuroner,,,,,8.0,8.0,https://pypi.org/project/pyneuroner,2019-10-02 23:30:15.000000,,86.0,86.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n716,BlazingSQL,BlazingDB/blazingsql,,gpu-utilities,https://github.com/BlazingDB/blazingsql,https://github.com/BlazingDB/blazingsql,Apache-2.0,2018-09-24 18:25:45.000000,2021-02-18 14:02:51.000000,2021-02-17 16:07:05.000000,132,246.0,345.0,1415,,\"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.\",40.0,17,True,2020-12-14 17:43:48.000000,0.17.0,15.0,,blazingsql/blazingsql-protocol,,,,,,,,,,53.0,https://anaconda.org/blazingsql/blazingsql-protocol,2019-11-11 19:54:17.621000,916.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n717,River,online-ml/river,,others,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000000,2021-02-16 17:59:05.000000,2021-02-16 17:55:55.000000,180,40.0,253.0,1392,3000.0,Online machine learning in Python.,58.0,17,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n718,Antialiased CNNs,adobe/antialiased-cnns,,pytorch-utils,https://github.com/adobe/antialiased-cnns,https://github.com/adobe/antialiased-cnns,CC BY-NC-SA 4.0,2019-05-14 20:51:25.000000,2020-10-23 22:45:52.000000,2020-10-22 19:40:07.000000,176,9.0,29.0,1348,238.0,pip install antialiased-cnns to improve stability and accuracy.,6.0,17,False,2020-10-23 22:45:52.000000,0.3,6.0,antialiased-cnns,,,,['pytorch'],,,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49.000000,,1076.0,1076.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n719,Advisor,tobegit3hub/advisor,,hyperopt,https://github.com/tobegit3hub/advisor,https://github.com/tobegit3hub/advisor,Apache-2.0,2017-09-14 03:50:33.000000,2019-11-11 07:09:57.869705,2019-11-11 06:59:31.000000,240,19.0,13.0,1344,165.0,Open-source implementation of Google Vizier for hyper parameters tuning.,11.0,17,False,2018-10-18 02:54:09.000000,0.1.6,4.0,advisor,,tobegit3hub/advisor,,,,,https://pypi.org/project/advisor,2018-10-18 02:54:09.000000,,16.0,53.0,,,,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1555.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n720,Botflow,kkyon/botflow,,data-pipelines,https://github.com/kkyon/botflow,https://github.com/kkyon/botflow,BSD-3-Clause,2018-08-20 03:13:31.000000,2020-12-31 09:03:22.000000,2019-05-23 14:40:50.000000,98,2.0,2.0,1159,192.0,\"Python Fast Dataflow programming framework for Data pipeline work( Web Crawler,Machine Learning,Quantitative..\",11.0,17,False,2018-09-14 14:38:32.000000,0.2.0,5.0,botflow,,,,,1.0,1.0,https://pypi.org/project/botflow,2018-09-14 14:38:32.000000,,28.0,28.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n721,Backtesting.py,kernc/backtesting.py,,financial-data,https://github.com/kernc/backtesting.py,https://github.com/kernc/backtesting.py,AGPL-3.0,2019-01-02 03:11:32.000000,2021-02-10 02:19:32.000000,2021-02-10 02:19:13.000000,240,20.0,172.0,1022,219.0,Backtest trading strategies in Python.,8.0,17,False,2017-07-22 02:00:06.000000,0.0.1,1.0,backtesting,,,,,,,https://pypi.org/project/backtesting,2017-07-22 02:00:06.000000,,1893.0,1893.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n722,sklearn-porter,nok/sklearn-porter,,model-serialisation,https://github.com/nok/sklearn-porter,https://github.com/nok/sklearn-porter,MIT,2016-06-22 22:21:34.000000,2021-02-10 10:33:50.000000,2019-12-18 13:31:50.000000,124,39.0,29.0,979,699.0,\"Transpile trained scikit-learn estimators to C, Java, JavaScript and others.\",11.0,17,False,2019-12-18 13:39:19.000000,0.7.4,20.0,sklearn-porter,,,,['sklearn'],1.0,,https://pypi.org/project/sklearn-porter,2019-12-18 13:39:19.000000,1.0,219.0,219.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n723,Bounter,RaRe-Technologies/bounter,,data-containers,https://github.com/RaRe-Technologies/bounter,https://github.com/RaRe-Technologies/bounter,MIT,2017-07-18 07:24:15.000000,2020-08-17 06:37:51.000000,2020-08-16 11:55:16.000000,48,11.0,9.0,896,152.0,Efficient Counter that uses a limited (bounded) amount of memory regardless of data size.,8.0,17,True,2020-08-17 06:37:51.000000,1.1.1,7.0,bounter,,,,,34.0,20.0,https://pypi.org/project/bounter,2020-08-17 06:37:51.000000,14.0,134.0,134.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n724,Fiber,uber/fiber,,distributed-ml,https://github.com/uber/fiber,https://github.com/uber/fiber,Apache-2.0,2020-01-07 18:16:24.000000,2020-10-06 14:39:41.000000,2020-10-06 14:39:12.000000,92,13.0,5.0,848,60.0,Distributed Computing for AI Made Simple.,5.0,17,True,2020-07-09 03:28:28.000000,0.2.1,6.0,fiber,,,,,20.0,19.0,https://pypi.org/project/fiber,2020-07-09 03:28:28.000000,1.0,711.0,711.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n725,advertorch,BorealisAI/advertorch,,adversarial,https://github.com/BorealisAI/advertorch,https://github.com/BorealisAI/advertorch,GPL-3.0,2018-11-29 22:17:33.000000,2020-09-25 15:01:47.000000,2020-06-15 01:16:18.000000,126,13.0,28.0,813,270.0,A Toolbox for Adversarial Robustness Research.,16.0,17,False,2020-06-15 01:20:07.000000,0.2.3,10.0,advertorch,,,,['pytorch'],32.0,29.0,https://pypi.org/project/advertorch,2020-06-15 01:20:07.000000,3.0,504.0,504.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n726,Saliency,PAIR-code/saliency,,tensorflow-utils,https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35.000000,2021-02-16 17:08:34.000000,2020-10-01 22:54:59.000000,137,11.0,10.0,635,64.0,\"TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques.\",12.0,17,True,2019-09-26 17:59:23.000000,0.0.5,5.0,saliency,,,,['tensorflow'],13.0,13.0,https://pypi.org/project/saliency,2019-09-26 17:59:23.000000,,81.0,81.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n727,sklearn-deap,rsteca/sklearn-deap,,hyperopt,https://github.com/rsteca/sklearn-deap,https://github.com/rsteca/sklearn-deap,MIT,2015-10-28 22:52:34.000000,2019-12-03 13:29:06.000000,2019-12-03 13:29:04.000000,107,21.0,31.0,626,98.0,Use evolutionary algorithms instead of gridsearch in scikit-learn.,20.0,17,False,2019-07-15 09:24:09.000000,0.2.4,13.0,sklearn-deap,,,,['sklearn'],26.0,24.0,https://pypi.org/project/sklearn-deap,2019-07-15 09:24:09.000000,2.0,203.0,203.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n728,ADTK,arundo/adtk,,time-series-data,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22.000000,2020-04-29 19:54:40.000000,2020-04-17 02:27:44.000000,77,22.0,30.0,598,78.0,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,11.0,17,True,2020-04-17 02:18:00.000000,0.6.2,13.0,adtk,,,,,,,https://pypi.org/project/adtk,2020-04-17 02:18:00.000000,,24463.0,24463.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n729,Dragonfly,dragonfly/dragonfly,,hyperopt,https://github.com/dragonfly/dragonfly,https://github.com/dragonfly/dragonfly,MIT,2018-04-20 22:19:50.000000,2020-07-26 17:44:31.000000,2020-07-03 18:01:17.000000,72,21.0,17.0,560,397.0,An open source python library for scalable Bayesian optimisation.,12.0,17,True,2020-07-03 18:05:12.000000,0.1.6,9.0,dragonfly-opt,,,,,2.0,,https://pypi.org/project/dragonfly-opt,2020-07-03 18:05:12.000000,2.0,4493.0,4493.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n730,RLax,deepmind/rlax,,reinforcement-learning,https://github.com/deepmind/rlax,https://github.com/deepmind/rlax,Apache-2.0,2020-02-18 07:14:59.000000,2021-02-08 10:20:17.000000,2021-02-08 10:19:30.000000,43,4.0,3.0,556,103.0,A library of reinforcement learning building blocks in JAX.,10.0,17,True,2020-02-19 23:01:30.000000,0.1.0,3.0,rlax,,,,['jax'],11.0,11.0,https://pypi.org/project/rlax,2020-02-19 23:01:30.000000,,129.0,129.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n731,Tensor Sensor,parrt/tensor-sensor,,pytorch-utils,https://github.com/parrt/tensor-sensor,https://github.com/parrt/tensor-sensor,MIT,2020-08-28 22:54:04.000000,2021-01-07 00:40:37.000000,2021-01-07 00:40:31.000000,24,4.0,12.0,526,155.0,The goal of this library is to generate more helpful exception messages for numpy/pytorch matrix algebra expressions.,2.0,17,True,2020-12-03 20:46:15.000000,0.1.1,33.0,tensor-sensor,,,,['pytorch'],2.0,2.0,https://pypi.org/project/tensor-sensor,2020-12-03 20:40:56.000000,,158.0,158.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n732,Performer Pytorch,lucidrains/performer-pytorch,,pytorch-utils,https://github.com/lucidrains/performer-pytorch,https://github.com/lucidrains/performer-pytorch,MIT,2020-10-03 03:41:36.000000,2021-01-17 01:23:12.000000,2021-01-17 01:22:36.000000,68,17.0,33.0,509,,\"An implementation of Performer, a linear attention-based transformer, in Pytorch.\",4.0,17,True,2021-01-17 01:23:12.000000,0.15.0,61.0,performer-pytorch,,,,['pytorch'],10.0,10.0,https://pypi.org/project/performer-pytorch,2021-01-17 01:23:12.000000,,772.0,772.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n733,TF Compression,tensorflow/compression,,tensorflow-utils,https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19.000000,2021-02-06 13:02:27.000000,2021-02-03 23:29:23.000000,155,1.0,56.0,441,148.0,Data compression in TensorFlow.,9.0,17,True,2021-01-06 01:50:06.000000,2.0b2,8.0,tensorflow-compression,,,,['tensorflow'],1.0,,https://pypi.org/project/tensorflow-compression,2021-01-06 01:36:13.000000,1.0,242.0,242.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n734,tcav,tensorflow/tcav,,interpretability,https://github.com/tensorflow/tcav,https://github.com/tensorflow/tcav,Apache-2.0,2018-07-03 17:45:35.000000,2021-02-18 12:54:21.000000,2021-02-18 12:54:21.000000,98,2.0,40.0,437,154.0,Code for the TCAV ML interpretability project.,17.0,17,True,2019-06-10 18:29:51.000000,0.2.1,3.0,tcav,,,,['tensorflow'],7.0,6.0,https://pypi.org/project/tcav,2019-06-10 18:29:51.000000,1.0,47.0,47.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n735,atspy,firmai/atspy,,time-series-data,https://github.com/firmai/atspy,https://github.com/firmai/atspy,MIT,2020-01-28 05:00:10.000000,2020-12-01 13:53:03.000000,2020-11-12 16:15:26.000000,64,16.0,2.0,335,97.0,AtsPy: Automated Time Series Models in Python (by @firmai).,5.0,17,True,2020-11-12 16:10:48.000000,zen,39.0,atspy,,,,,3.0,3.0,https://pypi.org/project/atspy,2020-04-24 18:16:15.000000,,257.0,257.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n736,Vulkan Kompute,EthicalML/vulkan-kompute,,gpu-utilities,https://github.com/EthicalML/vulkan-kompute,https://github.com/EthicalML/vulkan-kompute,Apache-2.0,2020-07-29 05:23:33.000000,2021-02-15 08:46:17.000000,2021-02-15 08:46:17.000000,23,49.0,60.0,329,632.0,\"General purpose GPU compute framework for cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast,..\",9.0,17,True,2021-01-31 12:01:30.000000,0.6.0,10.0,kp,,,,,2.0,2.0,https://pypi.org/project/kp,2021-01-31 12:02:25.000000,,73.0,78.0,,,,,,,,3.0,35.0,,,,,,,,,,,,,,,,,,,,,,\n737,tick,X-DataInitiative/tick,,time-series-data,https://github.com/X-DataInitiative/tick,https://github.com/X-DataInitiative/tick,BSD-3-Clause,2016-12-01 10:59:08.000000,2020-08-11 12:36:43.000000,2020-06-15 12:01:36.000000,74,55.0,159.0,323,413.0,\"Module for statistical learning, with a particular emphasis on time-dependent modelling.\",16.0,17,True,2019-09-11 11:25:15.000000,0.6,23.0,tick,,,,,31.0,30.0,https://pypi.org/project/tick,2020-05-24 22:01:17.000000,1.0,369.0,372.0,,,,,,,,3.0,155.0,,,,,,,,,,,,,,,,,,,,,,\n738,Baal,ElementAI/baal,,probabilistics,https://github.com/ElementAI/baal,https://github.com/ElementAI/baal,Apache-2.0,2019-09-30 20:16:26.000000,2021-02-18 00:56:59.000000,2021-02-11 22:55:02.000000,26,12.0,27.0,320,99.0,Using approximate bayesian posteriors in deep nets for active learning.,8.0,17,True,2020-11-03 21:14:13.000000,1.2.1,7.0,baal,,,,,7.0,7.0,https://pypi.org/project/baal,2020-11-03 21:07:08.000000,,102.0,102.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n739,Sherpa,sherpa-ai/sherpa,,hyperopt,https://github.com/sherpa-ai/sherpa,https://github.com/sherpa-ai/sherpa,GPL-3.0,2018-05-16 21:41:54.000000,2020-10-18 07:57:50.000000,2020-10-18 07:57:48.000000,43,11.0,41.0,283,823.0,\"Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.\",43.0,17,False,2020-07-31 05:29:09.000000,1.0.7,8.0,parameter-sherpa,,,,,8.0,7.0,https://pypi.org/project/parameter-sherpa,2019-11-23 21:32:27.000000,1.0,303.0,303.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n740,pandas-ml,pandas-ml/pandas-ml,,others,https://github.com/pandas-ml/pandas-ml,https://github.com/pandas-ml/pandas-ml,BSD-3-Clause,2015-02-21 03:14:04.000000,2020-08-14 12:29:33.000000,2019-03-05 01:36:55.000000,57,24.0,17.0,266,153.0,\"pandas, scikit-learn, xgboost and seaborn integration.\",4.0,17,False,2019-03-05 01:36:12.000000,0.6.1,9.0,pandas-ml,,,,\"['sklearn', 'pandas']\",,,https://pypi.org/project/pandas-ml,2019-03-05 01:35:23.000000,,1820.0,1820.0,,,,,,,,3.0,5.0,,,,,,,,,,,,,,,,,,,,,,\n741,somoclu,peterwittek/somoclu,,distributed-ml,https://github.com/peterwittek/somoclu,https://github.com/peterwittek/somoclu,MIT,2013-01-16 06:33:16.000000,2020-10-13 18:39:07.609000,2020-07-24 13:00:47.000000,55,26.0,103.0,223,590.0,\"Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters.\",17.0,17,True,2018-03-03 02:44:37.000000,1.7.5,17.0,somoclu,conda-forge/somoclu,,,,2.0,,https://pypi.org/project/somoclu,2020-04-25 05:33:32.000000,2.0,391.0,1388.0,https://anaconda.org/conda-forge/somoclu,2020-10-13 18:39:07.609000,41097.0,,,,,3.0,1447.0,,,,,,,,,,,,,,,,,,,,,,\n742,ExplainX.ai,explainX/explainx,,interpretability,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15.000000,2021-02-07 11:06:21.000000,2021-02-02 09:03:57.000000,29,10.0,14.0,181,184.0,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,4.0,17,True,2021-02-07 11:06:21.000000,2.407,56.0,explainx,,,,,,,https://pypi.org/project/explainx,2021-02-04 16:44:24.000000,,287.0,287.0,,,,,,,,3.0,1.0,,,,,,,,,,,,,,,,,,,,,,\n743,skggm,skggm/skggm,,sklearn-utils,https://github.com/skggm/skggm,https://github.com/skggm/skggm,MIT,2016-06-11 18:35:56.000000,2020-12-24 08:36:00.000000,2020-12-24 05:43:15.000000,31,27.0,47.0,176,691.0,Scikit-learn compatible estimation of general graphical models.,5.0,17,True,2018-09-12 01:12:49.000000,0.2.8,6.0,skggm,,,,['sklearn'],7.0,6.0,https://pypi.org/project/skggm,2018-09-12 01:12:49.000000,1.0,75.0,75.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n744,Muda,bmcfee/muda,,audio,https://github.com/bmcfee/muda,https://github.com/bmcfee/muda,ISC,2014-11-07 21:21:22.000000,2020-09-01 19:21:10.000000,2020-07-20 20:00:17.000000,31,5.0,44.0,174,291.0,A library for augmenting annotated audio data.,6.0,17,True,2019-11-15 15:46:21.000000,0.4.1,11.0,muda,,,,,10.0,9.0,https://pypi.org/project/muda,2019-11-15 15:46:21.000000,1.0,58.0,58.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n745,elegy,poets-ai/elegy,,ml-frameworks,https://github.com/poets-ai/elegy,https://github.com/poets-ai/elegy,Apache-2.0,2020-06-30 14:00:37.000000,2021-02-18 00:13:09.000000,2021-02-14 21:42:51.000000,11,20.0,36.0,171,285.0,Elegy is a framework-agnostic Trainer interface for the Jax ecosystem.,13.0,17,True,2021-02-14 21:43:23.000000,0.6.0,19.0,elegy,,,,\"['tensorflow', 'jax']\",,,https://pypi.org/project/elegy,2021-02-14 21:43:23.000000,,189.0,189.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n746,model-card-toolkit,tensorflow/model-card-toolkit,,interpretability,https://github.com/tensorflow/model-card-toolkit,https://github.com/tensorflow/model-card-toolkit,Apache-2.0,2020-07-24 16:48:58.000000,2021-02-17 23:36:56.000000,2021-02-11 00:48:11.000000,24,9.0,2.0,161,106.0,a tool that leverages rich metadata and lineage information in MLMD to build a model card.,8.0,17,True,2021-02-05 20:56:01.000000,0.1.3,4.0,model-card-toolkit,,,,,1.0,1.0,https://pypi.org/project/model-card-toolkit,2021-02-05 20:54:29.000000,,165.0,165.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n747,BatchFlow,analysiscenter/batchflow,,data-pipelines,https://github.com/analysiscenter/batchflow,https://github.com/analysiscenter/batchflow,Apache-2.0,2017-03-13 14:22:53.000000,2021-02-18 12:08:14.000000,2021-02-18 12:08:14.000000,35,52.0,54.0,154,4396.0,BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and..,28.0,17,True,2019-08-23 12:21:50.000000,0.3.0,3.0,batchflow,,,,,,,https://pypi.org/project/batchflow,2019-08-23 12:21:50.000000,,12.0,12.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n748,imodels,csinva/imodels,,interpretability,https://github.com/csinva/imodels,https://github.com/csinva/imodels,MIT,2019-07-04 15:38:48.000000,2021-02-18 11:53:35.000000,2021-02-18 11:53:24.000000,14,,8.0,150,213.0,\"Interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible).\",3.0,17,True,2021-02-17 20:20:37.000000,0.2.7,7.0,imodels,,,,,6.0,6.0,https://pypi.org/project/imodels,2021-02-17 20:19:07.000000,,41.0,41.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n749,Larq Compute Engine,larq/compute-engine,,model-serialisation,https://github.com/larq/compute-engine,https://github.com/larq/compute-engine,Apache-2.0,2019-08-29 15:02:43.000000,2021-02-15 09:33:18.000000,2021-02-15 09:33:17.000000,21,21.0,90.0,128,454.0,Highly optimized inference engine for Binarized Neural Networks.,14.0,17,False,2021-01-30 03:07:11.000000,0.5.0,12.0,larq-compute-engine,,,,,1.0,1.0,https://pypi.org/project/larq-compute-engine,2021-01-30 03:07:11.000000,,350.0,363.0,,,,,,,,3.0,161.0,,,,,,,,,,,,,,,,,,,,,,\n750,dabl,amueller/dabl,,sklearn-utils,https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49.000000,2021-02-13 01:38:37.000000,2020-07-08 16:14:41.000000,7,1.0,,66,252.0,Data Analysis Baseline Library.,18.0,17,False,2020-09-25 18:14:54.000000,0.1.9,10.0,dabl,,,,['sklearn'],,,https://pypi.org/project/dabl,2020-09-25 18:14:54.000000,,1521.0,1521.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n751,ReAgent,facebookresearch/ReAgent,,reinforcement-learning,https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000000,2021-02-18 02:21:46.000000,2021-02-13 00:58:43.000000,381,20.0,74.0,2811,1089.0,\"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).\",86.0,16,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n752,automl-gs,minimaxir/automl-gs,,hyperopt,https://github.com/minimaxir/automl-gs,https://github.com/minimaxir/automl-gs,MIT,2019-01-13 18:57:44.000000,2019-10-22 11:20:40.000000,2019-04-05 06:48:14.000000,157,26.0,6.0,1715,102.0,\"Provide an input CSV and a target field to predict, generate a model + code to run it.\",7.0,16,False,2019-04-05 06:51:04.000000,0.2.1,2.0,automl_gs,,,,,,,https://pypi.org/project/automl_gs,2019-04-05 06:47:54.000000,,37.0,37.0,,,,,,,,3.0,21.0,,,,,,,,,,,,,,,,,,,,,,\n753,Xcessiv,reiinakano/xcessiv,,hyperopt,https://github.com/reiinakano/xcessiv,https://github.com/reiinakano/xcessiv,Apache-2.0,2017-03-07 18:18:25.000000,2018-06-06 22:23:37.000000,2017-08-21 00:51:15.000000,109,22.0,13.0,1258,316.0,\"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.\",6.0,16,False,2017-08-21 00:53:25.000000,0.5.1,34.0,xcessiv,,,,,2.0,1.0,https://pypi.org/project/xcessiv,2017-08-21 00:49:41.000000,1.0,78.0,78.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n754,CrypTen,facebookresearch/CrypTen,,privacy-ml,https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000000,2021-02-18 14:54:01.000000,2021-02-18 04:41:25.000000,94,15.0,31.0,721,233.0,A framework for Privacy Preserving Machine Learning.,23.0,16,True,2020-04-21 13:59:37.000000,0.1,1.0,crypten,,,,['pytorch'],5.0,5.0,https://pypi.org/project/crypten,2020-02-05 18:53:03.000000,,74.0,74.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n755,Hivemind,learning-at-home/hivemind,,distributed-ml,https://github.com/learning-at-home/hivemind,https://github.com/learning-at-home/hivemind,MIT,2020-02-27 13:50:19.000000,2021-01-26 17:12:51.000000,2021-01-26 17:12:49.000000,33,15.0,17.0,649,296.0,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,7.0,16,True,2020-08-28 16:00:22.000000,0.8.2,5.0,hivemind,,,,,2.0,1.0,https://pypi.org/project/hivemind,2020-08-28 16:00:22.000000,1.0,21.0,21.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n756,cuGraph,rapidsai/cugraph,,gpu-utilities,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000000,2021-02-17 20:43:24.000000,2021-02-17 19:24:36.000000,144,90.0,496.0,649,,cuGraph - RAPIDS Graph Analytics Library.,59.0,16,True,2020-12-10 21:54:44.000000,0.17.0,6.0,cugraph,,,,,0.0,,https://pypi.org/project/cugraph,2020-06-01 20:09:06.000000,0.0,28.0,28.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n757,HyperparameterHunter,HunterMcGushion/hyperparameter_hunter,,hyperopt,https://github.com/HunterMcGushion/hyperparameter_hunter,https://github.com/HunterMcGushion/hyperparameter_hunter,MIT,2018-06-01 23:17:00.000000,2021-01-20 03:52:41.000000,2021-01-20 03:52:40.000000,82,37.0,84.0,640,1096.0,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries.,4.0,16,True,2019-08-06 09:09:45.000000,3.0.0,16.0,hyperparameter-hunter,,,,,2.0,,https://pypi.org/project/hyperparameter-hunter,2019-08-06 08:52:20.000000,2.0,29.0,38.0,,,,,,,,3.0,268.0,,,,,,,,,,,,,,,,,,,,,,\n758,SpeedTorch,Santosh-Gupta/SpeedTorch,,gpu-utilities,https://github.com/Santosh-Gupta/SpeedTorch,https://github.com/Santosh-Gupta/SpeedTorch,MIT,2019-09-07 18:57:52.000000,2020-02-21 23:13:29.000000,2020-02-21 23:13:28.000000,37,3.0,2.0,611,170.0,Library for faster pinned CPU - GPU transfer in Pytorch.,3.0,16,True,2020-01-06 05:27:17.000000,0.1.6,14.0,SpeedTorch,,,,['pytorch'],5.0,3.0,https://pypi.org/project/SpeedTorch,2020-01-06 05:27:17.000000,2.0,52.0,52.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n759,ThunderGBM,Xtra-Computing/thundergbm,,ml-frameworks,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08.000000,2021-01-05 04:22:17.000000,2021-01-05 04:22:15.000000,70,20.0,26.0,579,606.0,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,10.0,16,True,2020-05-01 23:16:25.000000,0.3.16,24.0,thundergbm,,,,,,,https://pypi.org/project/thundergbm,2020-05-01 23:16:25.000000,,44.0,44.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n760,XAI,EthicalML/xai,,interpretability,https://github.com/EthicalML/xai,https://github.com/EthicalML/xai,MIT,2019-01-11 20:00:09.000000,2019-10-05 10:34:58.000000,2019-10-05 10:34:50.000000,83,4.0,3.0,575,83.0,XAI - An eXplainability toolbox for machine learning.,2.0,16,False,2019-01-13 21:24:01.000000,0.0.4,4.0,xai,,,,,16.0,10.0,https://pypi.org/project/xai,2019-01-13 21:24:01.000000,6.0,328.0,328.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n761,AlphaPy,ScottfreeLLC/AlphaPy,,hyperopt,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32.000000,2021-02-08 21:35:40.000000,2021-02-08 21:35:40.000000,121,8.0,29.0,552,409.0,\"Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost.\",3.0,16,True,2020-08-29 18:48:20.000000,2.5.0,25.0,alphapy,,,,,2.0,2.0,https://pypi.org/project/alphapy,2020-08-29 18:44:15.000000,,67.0,67.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n762,SKLL,EducationalTestingService/skll,,ml-experiments,https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,BSD-1-Clause,2013-08-02 14:31:46.000000,2021-02-17 23:58:09.000000,2021-02-06 15:24:01.000000,62,44.0,332.0,520,,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,34.0,16,False,2020-03-13 17:22:26.000000,2.1,63.0,skll,,,,['sklearn'],45.0,28.0,https://pypi.org/project/skll,2020-03-13 16:23:35.000000,17.0,97.0,97.0,,,,,,,,3.0,10.0,,,,,,,,,,,,,,,,,,,,,,\n763,Auto Tune Models,HDI-Project/ATM,,hyperopt,https://github.com/HDI-Project/ATM,https://github.com/HDI-Project/ATM,MIT,2016-10-14 18:03:00.000000,2020-02-21 17:44:07.000000,2020-02-21 17:40:58.000000,127,17.0,71.0,504,775.0,\"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).\",16.0,16,True,2019-07-30 09:28:26.000000,0.2.2,14.0,atm,,,,,6.0,6.0,https://pypi.org/project/atm,2019-07-30 09:25:11.000000,,34.0,34.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n764,DiCE,interpretml/DiCE,,interpretability,https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000000,2021-02-18 11:58:38.000000,2021-02-18 11:22:27.000000,67,12.0,19.0,467,311.0,Generate Diverse Counterfactual Explanations for any machine learning model.,10.0,16,True,2020-09-22 06:31:10.000000,0.4,2.0,dice-ml,,,,\"['tensorflow', 'pytorch']\",,,https://pypi.org/project/dice-ml,2020-09-22 06:57:33.000000,,90.0,90.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n765,lightly,lightly-ai/lightly,,image,https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000000,2021-02-18 15:21:33.000000,2021-02-12 13:16:28.000000,22,24.0,32.0,413,310.0,A python library for self-supervised learning on images.,5.0,16,True,2021-01-11 11:34:22.000000,1.0.8,11.0,lightly,,,,['pytorch'],2.0,2.0,https://pypi.org/project/lightly,2021-01-11 11:34:22.000000,0.0,119.0,119.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n766,kglib,graknlabs/kglib,,graph,https://github.com/graknlabs/kglib,https://github.com/graknlabs/kglib,Apache-2.0,2018-09-16 16:46:48.000000,2021-01-15 11:17:51.000000,2021-01-15 11:17:51.000000,74,10.0,49.0,395,487.0,Grakn Knowledge Graph Library (ML R&D).,7.0,16,True,2020-08-19 15:39:10.000000,0.2.2,7.0,grakn-kglib,,,,,,,https://pypi.org/project/grakn-kglib,2020-08-19 15:39:10.000000,,52.0,60.0,,,,,,,,3.0,206.0,,,,,,,,,,,,,,,,,,,,,,\n767,tfdeploy,riga/tfdeploy,,model-serialisation,https://github.com/riga/tfdeploy,https://github.com/riga/tfdeploy,BSD-3-Clause,2016-03-07 13:08:21.000000,2021-01-08 09:52:54.000000,2021-01-08 09:52:49.000000,38,10.0,23.0,346,170.0,Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.,4.0,16,True,2017-03-30 10:51:26.000000,0.4.2,22.0,tfdeploy,,,,['tensorflow'],2.0,,https://pypi.org/project/tfdeploy,2017-03-30 10:51:26.000000,2.0,60.0,60.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n768,pytorch_geometric_temporal,benedekrozemberczki/pytorch_geometric_temporal,,graph,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,MIT,2020-06-27 01:11:33.000000,2021-02-17 20:38:35.000000,2021-02-17 20:20:10.000000,39,1.0,16.0,345,836.0,A Temporal Extension Library for PyTorch Geometric.,3.0,16,True,2021-02-17 20:38:35.000000,_00014,13.0,torch-geometric-temporal,,,,['pytorch'],,,https://pypi.org/project/torch-geometric-temporal,2021-02-17 19:52:10.000000,,88.0,88.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n769,pdvega,altair-viz/pdvega,,data-viz,https://github.com/altair-viz/pdvega,https://github.com/altair-viz/pdvega,MIT,2018-01-11 21:30:27.000000,2019-03-29 16:09:14.000000,2019-03-29 16:09:13.000000,29,16.0,10.0,340,177.0,Interactive plotting for Pandas using Vega-Lite.,9.0,16,False,,,1.0,pdvega,,,,,50.0,48.0,https://pypi.org/project/pdvega,2018-02-01 04:56:43.000000,2.0,46.0,46.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n770,Sematch,gsi-upm/sematch,,graph,https://github.com/gsi-upm/sematch,https://github.com/gsi-upm/sematch,Apache-2.0,2012-11-30 11:11:53.000000,2020-11-05 21:20:52.000000,2019-03-27 03:17:24.000000,98,14.0,19.0,339,122.0,semantic similarity framework for knowledge graph.,5.0,16,False,2017-04-17 10:56:52.000000,1.0.4,5.0,sematch,,,,,29.0,26.0,https://pypi.org/project/sematch,2017-04-17 10:56:52.000000,3.0,41.0,41.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n771,datmo,datmo/datmo,,ml-experiments,https://github.com/datmo/datmo,https://github.com/datmo/datmo,MIT,2017-11-03 05:46:43.000000,2019-11-29 00:48:45.000000,2019-11-29 00:48:44.000000,28,42.0,149.0,334,1051.0,Open source production model management tool for data scientists.,6.0,16,False,2018-12-07 06:16:42.000000,0.0.40,41.0,datmo,,,,,5.0,5.0,https://pypi.org/project/datmo,2018-12-07 06:16:42.000000,,99.0,99.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n772,Orbit,uber/orbit,,probabilistics,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000000,2021-02-18 06:22:57.000000,2021-02-17 23:10:57.000000,19,20.0,156.0,318,580.0,Bayesian forecasting with object-oriented design and probabilistic models under the hood.,7.0,16,True,2021-02-13 03:18:35.000000,1.0.11a,10.0,orbit-ml,,,,,4.0,4.0,https://pypi.org/project/orbit-ml,2021-02-13 03:33:55.000000,,100.0,100.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n773,Case Recommender,caserec/CaseRecommender,,recommender-systems,https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39.000000,2020-05-26 22:44:05.000000,2020-05-26 22:44:05.000000,66,6.0,16.0,317,201.0,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems.,10.0,16,True,2019-08-20 13:48:43.000000,1.1.0,41.0,caserecommender,,,,['sklearn'],7.0,7.0,https://pypi.org/project/caserecommender,2019-08-20 13:48:43.000000,,81.0,81.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n774,LOFO,aerdem4/lofo-importance,,interpretability,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46.000000,2021-01-27 13:57:42.000000,2020-07-02 11:49:52.000000,40,1.0,10.0,305,24.0,Leave One Feature Out Importance.,3.0,16,True,2020-07-02 11:44:57.000000,0.2.6,9.0,lofo-importance,,,,,3.0,3.0,https://pypi.org/project/lofo-importance,2020-07-02 11:44:57.000000,,127.0,127.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n775,Headliner,as-ideas/headliner,,nlp,https://github.com/as-ideas/headliner,https://github.com/as-ideas/headliner,MIT,2019-09-30 11:33:28.000000,2021-01-29 12:51:10.000000,2020-02-14 09:03:27.000000,38,1.0,13.0,220,276.0,Easy training and deployment of seq2seq models.,2.0,16,True,2020-01-24 09:06:29.000000,1.0.2,30.0,headliner,,,,,4.0,3.0,https://pypi.org/project/headliner,2020-01-24 09:06:29.000000,1.0,78.0,78.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n776,steppy,minerva-ml/steppy,,ml-experiments,https://github.com/minerva-ml/steppy,https://github.com/minerva-ml/steppy,MIT,2018-01-15 09:40:49.000000,2018-11-23 09:49:59.000000,2018-11-23 09:47:34.000000,31,16.0,50.0,126,69.0,\"Lightweight, Python library for fast and reproducible experimentation.\",5.0,16,False,2018-11-23 09:49:59.000000,0.1.16,16.0,steppy,,,,,43.0,38.0,https://pypi.org/project/steppy,2018-11-23 09:49:59.000000,5.0,48.0,48.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n777,ipyexperiments,stas00/ipyexperiments,,gpu-utilities,https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40.000000,2021-02-13 21:37:46.000000,2021-02-13 21:37:41.000000,9,,4.0,125,191.0,jupyter/ipython experiment containers for GPU and general RAM re-use.,3.0,16,False,2021-02-13 19:44:30.000000,0.1.24,22.0,ipyexperiments,,,,['jupyter'],5.0,3.0,https://pypi.org/project/ipyexperiments,2021-02-13 19:44:30.000000,2.0,67.0,67.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n778,celer,mathurinm/celer,,sklearn-utils,https://github.com/mathurinm/celer,https://github.com/mathurinm/celer,BSD-3-Clause,2018-02-20 19:37:31.000000,2021-02-18 08:41:27.000000,2021-02-18 08:33:08.000000,20,16.0,49.0,109,214.0,\"Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.\",9.0,16,False,2020-10-12 12:26:09.000000,0.5.1,10.0,celer,,,,['sklearn'],4.0,4.0,https://pypi.org/project/celer,2020-12-09 13:19:10.000000,,34.0,34.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n779,tinygrad,geohot/tinygrad,,pytorch-utils,https://github.com/geohot/tinygrad,https://github.com/geohot/tinygrad,MIT,2020-10-18 16:23:12.000000,2021-02-17 13:45:15.000000,2021-01-31 16:31:16.000000,452,14.0,62.0,4087,511.0,You like pytorch? You like micrograd? You love tinygrad!.,43.0,15,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n780,GraphEmbedding,shenweichen/GraphEmbedding,,graph,https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20.000000,2021-01-31 06:45:38.000000,2020-10-18 09:32:47.000000,557,27.0,13.0,1781,28.0,Implementation and experiments of graph embedding algorithms.,8.0,15,True,,,,,,,,['sklearn'],7.0,7.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n781,Lambda Networks,lucidrains/lambda-networks,,pytorch-utils,https://github.com/lucidrains/lambda-networks,https://github.com/lucidrains/lambda-networks,MIT,2020-10-08 19:01:15.000000,2020-11-18 19:54:34.000000,2020-11-18 19:54:30.000000,134,9.0,15.0,1300,,\"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.\",3.0,15,True,2020-11-18 08:19:23.000000,0.4.0,11.0,lambda-networks,,,,['pytorch'],,,https://pypi.org/project/lambda-networks,2020-11-18 08:19:23.000000,,324.0,324.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n782,AdvBox,advboxes/AdvBox,,adversarial,https://github.com/advboxes/AdvBox,https://github.com/advboxes/AdvBox,Apache-2.0,2018-08-08 08:55:41.000000,2020-11-13 17:59:22.000000,2020-08-26 22:59:41.000000,225,6.0,28.0,1042,374.0,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,19.0,15,True,2018-12-05 02:48:50.000000,0.4.1,2.0,advbox,,,,,,,https://pypi.org/project/advbox,2018-12-05 02:48:50.000000,,11.0,11.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n783,Torch-Struct,harvardnlp/pytorch-struct,,pytorch-utils,https://github.com/harvardnlp/pytorch-struct,https://github.com/harvardnlp/pytorch-struct,MIT,2019-08-26 19:34:30.000000,2021-02-15 20:20:59.000000,2021-02-14 02:45:15.000000,71,18.0,24.0,899,261.0,\"Fast, general, and tested differentiable structured prediction in PyTorch.\",13.0,15,True,2021-02-15 20:20:59.000000,0.5,2.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n784,aim,aimhubio/aim,,ml-experiments,https://github.com/aimhubio/aim,https://github.com/aimhubio/aim,Apache-2.0,2019-05-31 18:25:07.000000,2021-02-05 13:46:56.000000,2021-02-05 13:46:55.000000,47,22.0,28.0,855,,\"Aim a super-easy way to record, search and compare 1000s of ML training runs.\",8.0,15,True,2019-11-06 08:06:11.000000,3.1.0,41.0,aim,,,,,2.0,,https://pypi.org/project/aim,2021-01-07 09:21:55.000000,2.0,650.0,650.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n785,MedicalTorch,perone/medicaltorch,,medical-data,https://github.com/perone/medicaltorch,https://github.com/perone/medicaltorch,Apache-2.0,2018-02-27 02:50:07.000000,2020-09-30 13:21:57.000000,2019-08-15 10:03:51.000000,106,14.0,9.0,706,55.0,A medical imaging framework for Pytorch.,7.0,15,False,2018-11-24 00:33:11.000000,0.2,2.0,medicaltorch,,,,['pytorch'],10.0,10.0,https://pypi.org/project/medicaltorch,2018-11-24 00:29:36.000000,,30.0,30.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n786,Translate,pytorch/translate,,nlp,https://github.com/pytorch/translate,https://github.com/pytorch/translate,BSD-3-Clause,2018-04-24 16:44:04.000000,2021-02-15 05:43:00.000000,2021-02-15 05:42:53.000000,158,66.0,27.0,678,804.0,Translate - a PyTorch Language Library.,85.0,15,True,,,1.0,pytorch-translate,,,,['pytorch'],,,https://pypi.org/project/pytorch-translate,2018-05-01 19:59:40.000000,,5.0,5.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n787,torchsde,google-research/torchsde,,pytorch-utils,https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11.000000,2021-02-09 09:24:09.000000,2021-02-09 08:23:42.000000,55,6.0,28.0,650,145.0,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,4.0,15,True,2021-01-05 18:31:38.000000,0.2.4,4.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n788,FlashTorch,MisaOgura/flashtorch,,interpretability,https://github.com/MisaOgura/flashtorch,https://github.com/MisaOgura/flashtorch,MIT,2019-03-22 13:00:57.000000,2020-12-14 23:09:26.000000,2020-05-29 14:37:29.000000,66,6.0,21.0,551,126.0,Visualization toolkit for neural networks in PyTorch! Demo --.,2.0,15,True,2020-05-29 14:39:38.000000,0.1.3,12.0,flashtorch,,,,['pytorch'],6.0,6.0,https://pypi.org/project/flashtorch,2020-05-29 14:38:32.000000,,94.0,94.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n789,cuSignal,rapidsai/cusignal,,gpu-utilities,https://github.com/rapidsai/cusignal,https://github.com/rapidsai/cusignal,Apache-2.0,2019-08-22 14:27:27.000000,2021-02-17 20:43:38.000000,2021-02-17 16:17:09.000000,61,15.0,90.0,447,,GPU accelerated signal processing.,29.0,15,True,2020-12-10 21:29:50.000000,0.17.0,5.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n790,Pywick,achaiah/pywick,,pytorch-utils,https://github.com/achaiah/pywick,https://github.com/achaiah/pywick,MIT,2019-03-25 15:42:47.000000,2021-02-11 17:06:17.000000,2020-09-24 19:20:06.000000,35,2.0,9.0,312,109.0,High-level batteries-included neural network training library for Pytorch.,4.0,15,True,2020-01-20 22:14:21.000000,0.5.6,6.0,pywick,,,,['pytorch'],2.0,2.0,https://pypi.org/project/pywick,2020-01-20 22:14:21.000000,,93.0,93.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n791,VizSeq,facebookresearch/vizseq,,nlp,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38.000000,2020-12-13 18:55:58.000000,2020-12-13 18:55:54.000000,39,7.0,8.0,310,43.0,\"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).\",3.0,15,True,2020-08-07 01:13:52.000000,0.1.15,16.0,vizseq,,,,,2.0,2.0,https://pypi.org/project/vizseq,2020-08-07 01:13:52.000000,,75.0,75.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n792,Parfit,jmcarpenter2/parfit,,hyperopt,https://github.com/jmcarpenter2/parfit,https://github.com/jmcarpenter2/parfit,MIT,2017-11-22 20:17:51.000000,2020-04-04 19:26:44.000000,2020-04-04 19:26:37.000000,25,5.0,5.0,197,127.0,\"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..\",2.0,15,True,,,23.0,parfit,,,,['sklearn'],7.0,7.0,https://pypi.org/project/parfit,2018-10-11 22:03:16.000000,,2764.0,2764.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n793,pyRDF2Vec,IBCNServices/pyRDF2Vec,,graph,https://github.com/IBCNServices/pyRDF2Vec,https://github.com/IBCNServices/pyRDF2Vec,MIT,2019-06-13 11:36:12.000000,2021-02-17 19:54:07.000000,2021-02-08 07:24:27.000000,18,4.0,23.0,84,753.0,Python Implementation and Extension of RDF2Vec.,5.0,15,False,2020-11-02 15:07:48.000000,0.1.1,7.0,pyrdf2vec,,,,,,,https://pypi.org/project/pyrdf2vec,2020-11-02 15:05:32.000000,,67.0,67.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n794,contextual-ai,SAP/contextual-ai,,interpretability,https://github.com/SAP/contextual-ai,https://github.com/SAP/contextual-ai,Apache-2.0,2020-05-12 07:15:56.000000,2021-01-25 04:56:57.000000,2021-01-25 04:03:23.000000,9,4.0,1.0,67,621.0,\"Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference -..\",10.0,15,False,2021-01-25 04:56:57.000000,0.0.2,2.0,contextual-ai,,,,,,,https://pypi.org/project/contextual-ai,2021-01-25 04:56:57.000000,,94.0,94.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n795,DE⫶TR,facebookresearch/detr,,image,https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52.000000,2021-01-16 14:33:22.000000,2020-11-15 16:03:45.000000,928,62.0,218.0,6179,41.0,End-to-End Object Detection with Transformers.,19.0,14,True,2020-06-29 16:41:01.000000,0.2,1.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n796,PySlowFast,facebookresearch/SlowFast,,image,https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26.000000,2021-02-11 18:45:21.000000,2021-02-11 18:45:15.000000,632,164.0,185.0,3351,100.0,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,19.0,14,True,,,,,,,,['pytorch'],2.0,2.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n797,OpenNRE,thunlp/OpenNRE,,nlp,https://github.com/thunlp/OpenNRE,https://github.com/thunlp/OpenNRE,MIT,2017-02-26 07:37:12.000000,2021-01-15 02:29:36.000000,2020-11-24 06:37:04.000000,855,19.0,286.0,2976,135.0,An Open-Source Package for Neural Relation Extraction (NRE).,9.0,14,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n798,Euler,alibaba/euler,,graph,https://github.com/alibaba/euler,https://github.com/alibaba/euler,Apache-2.0,2019-01-10 06:32:32.000000,2020-07-29 05:53:02.000000,2020-07-29 05:53:01.000000,504,200.0,97.0,2494,8.0,A distributed graph deep learning framework.,5.0,14,True,2020-07-07 02:24:18.000000,2.0.0,2.0,euler-gl,,,,['tensorflow'],,,https://pypi.org/project/euler-gl,2019-04-10 01:53:45.000000,,7.0,7.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n799,ENAS,carpedm20/ENAS-pytorch,,hyperopt,https://github.com/carpedm20/ENAS-pytorch,https://github.com/carpedm20/ENAS-pytorch,Apache-2.0,2018-02-15 04:54:37.000000,2020-12-09 18:13:03.000000,2020-06-16 07:23:32.000000,446,37.0,7.0,2386,53.0,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,6.0,14,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n800,GraphSAGE,williamleif/GraphSAGE,,graph,https://github.com/williamleif/GraphSAGE,https://github.com/williamleif/GraphSAGE,MIT,2017-05-29 15:36:22.000000,2021-02-02 21:46:42.000000,2018-09-19 19:27:00.000000,616,85.0,58.0,2159,59.0,Representation learning on large graphs using stochastic graph convolutions.,9.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n801,ZhuSuan,thu-ml/zhusuan,,probabilistics,https://github.com/thu-ml/zhusuan,https://github.com/thu-ml/zhusuan,MIT,2016-07-18 13:31:38.000000,2020-01-09 14:51:27.000000,2019-08-05 10:00:04.000000,378,8.0,53.0,2007,439.0,\"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.\",20.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n802,pycls,facebookresearch/pycls,,image,https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17.000000,2021-01-14 21:14:56.000000,2021-01-14 21:14:50.000000,153,11.0,44.0,1443,72.0,\"Codebase for Image Classification Research, written in PyTorch.\",9.0,14,True,2020-04-15 19:33:22.000000,0.1,1.0,,,,,['pytorch'],2.0,2.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n803,OpenNE,thunlp/OpenNE,,graph,https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20.000000,2021-01-29 16:32:37.000000,2019-08-12 10:56:27.000000,441,50.0,81.0,1406,98.0,An Open-Source Package for Network Embedding (NE).,10.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n804,zenml,maiot-io/zenml,,data-pipelines,https://github.com/maiot-io/zenml,https://github.com/maiot-io/zenml,Apache-2.0,2020-11-19 09:25:46.000000,2021-02-18 11:13:06.000000,2021-02-17 19:12:58.000000,42,17.0,4.0,818,,ZenML: Bring Zen to your ML with reproducible pipelines.,7.0,14,True,2021-02-12 12:27:21.000000,0.3.2,16.0,zenml,,,,,1.0,1.0,https://pypi.org/project/zenml,2021-02-12 12:24:34.000000,,137.0,137.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n805,Anchor,marcotcr/anchor,,interpretability,https://github.com/marcotcr/anchor,https://github.com/marcotcr/anchor,BSD-2-Clause,2018-02-02 23:38:50.000000,2020-09-10 17:49:26.000000,2020-09-10 17:48:28.000000,87,12.0,45.0,619,39.0,Code for High-Precision Model-Agnostic Explanations paper.,8.0,14,True,,,8.0,anchor_exp,,,,,,,https://pypi.org/project/anchor_exp,2020-06-26 20:56:50.000000,,293.0,293.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n806,AutoGL,THUMNLab/AutoGL,,graph,https://github.com/THUMNLab/AutoGL,https://github.com/THUMNLab/AutoGL,MIT,2020-11-30 14:26:22.000000,2021-02-07 03:05:02.000000,2021-02-07 03:05:02.000000,55,5.0,2.0,583,,An autoML framework & toolkit for machine learning on graphs.,5.0,14,True,2020-12-23 08:15:15.000000,0.1.1,2.0,auto-graph-learning,,,,['pytorch'],,,https://pypi.org/project/auto-graph-learning,2020-12-23 08:05:25.000000,,36.0,36.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n807,Tez,abhishekkrthakur/tez,,pytorch-utils,https://github.com/abhishekkrthakur/tez,https://github.com/abhishekkrthakur/tez,Apache-2.0,2020-11-13 10:19:22.000000,2021-02-07 21:09:23.000000,2021-02-07 21:09:17.000000,67,13.0,7.0,541,,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,1.0,14,True,2021-01-29 07:26:14.000000,0.1.2,9.0,tez,,,,['pytorch'],,,https://pypi.org/project/tez,2021-01-29 07:26:14.000000,,576.0,576.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n808,PandaPy,firmai/pandapy,,data-containers,https://github.com/firmai/pandapy,https://github.com/firmai/pandapy,MIT,2020-01-15 18:21:23.000000,2020-11-12 16:18:45.000000,2020-11-12 16:18:44.000000,46,2.0,1.0,472,83.0,PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai).,3.0,14,True,2020-11-12 16:12:54.000000,zen,22.0,pandapy,,,,['pandas'],1.0,1.0,https://pypi.org/project/pandapy,2020-01-25 23:10:32.000000,,21.0,21.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n809,OpenRec,ylongqi/openrec,,recommender-systems,https://github.com/ylongqi/openrec,https://github.com/ylongqi/openrec,Apache-2.0,2017-11-29 16:04:40.000000,2020-11-13 17:47:17.000000,2020-02-19 07:57:17.000000,79,4.0,12.0,352,213.0,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms.,10.0,14,True,2018-11-13 17:55:55.000000,0.2.4,11.0,openrec,,,,,2.0,1.0,https://pypi.org/project/openrec,2019-09-11 20:21:21.000000,1.0,17.0,17.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n810,TransferNLP,feedly/transfer-nlp,,nlp,https://github.com/feedly/transfer-nlp,https://github.com/feedly/transfer-nlp,MIT,2019-03-12 20:00:31.000000,2020-05-28 19:00:02.000000,2020-05-28 17:31:53.000000,18,4.0,19.0,287,465.0,NLP library designed for reproducible experimentation management.,7.0,14,True,2020-05-28 19:00:02.000000,0.1.6,8.0,transfer-nlp,,,,['pytorch'],,,https://pypi.org/project/transfer-nlp,2020-05-28 19:00:02.000000,,41.0,41.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n811,data-describe,data-describe/data-describe,,data-viz,https://github.com/data-describe/data-describe,https://github.com/data-describe/data-describe,Apache-2.0,2020-05-04 17:58:14.000000,2021-02-15 20:32:34.000000,2021-01-15 16:20:44.000000,12,67.0,174.0,251,694.0,datadescribe: Pythonic EDA Accelerator for Data Science.,14.0,14,True,,,5.0,data-describe,,,,,,,https://pypi.org/project/data-describe,2020-12-03 23:07:43.000000,,56.0,56.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,True\n812,NeuralQA,victordibia/neuralqa,,nlp,https://github.com/victordibia/neuralqa,https://github.com/victordibia/neuralqa,MIT,2020-05-19 03:55:56.000000,2020-12-16 17:42:12.000000,2020-12-16 17:41:37.000000,24,21.0,8.0,184,312.0,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,3.0,14,True,,,27.0,neuralqa,,,,,2.0,2.0,https://pypi.org/project/neuralqa,2020-09-18 17:54:50.000000,,14.0,14.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n813,Julius,adefossez/julius,,audio,https://github.com/adefossez/julius,https://github.com/adefossez/julius,MIT,2020-10-26 10:54:21.000000,2021-01-26 11:59:07.000000,2021-01-26 11:59:06.000000,6,,3.0,173,,Fast PyTorch based DSP for audio and 1D signals.,2.0,14,True,2021-01-26 11:45:37.000000,0.2.2,6.0,julius,,,,['pytorch'],5.0,5.0,https://pypi.org/project/julius,2021-01-26 11:45:37.000000,,897.0,897.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n814,textvec,textvec/textvec,,nlp,https://github.com/textvec/textvec,https://github.com/textvec/textvec,MIT,2018-04-12 14:03:53.000000,2020-12-03 14:23:11.000000,2020-12-03 14:23:04.000000,21,2.0,6.0,160,70.0,Text vectorization tool to outperform TFIDF for classification tasks.,5.0,14,True,2019-09-12 07:41:04.000000,2.0,4.0,textvec,,,,['sklearn'],2.0,2.0,https://pypi.org/project/textvec,2020-12-03 14:17:09.000000,,52.0,52.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n815,nx-altair,Zsailer/nx_altair,,data-viz,https://github.com/Zsailer/nx_altair,https://github.com/Zsailer/nx_altair,MIT,2018-05-13 00:10:12.000000,2020-09-30 12:01:08.000000,2020-06-02 21:10:26.000000,19,5.0,4.0,156,51.0,Draw interactive NetworkX graphs with Altair.,3.0,14,True,2020-06-02 21:11:12.000000,0.1.6,8.0,nx-altair,,,,['jupyter'],4.0,,https://pypi.org/project/nx-altair,2020-06-02 21:11:12.000000,4.0,82.0,82.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n816,ONNX-T5,abelriboulot/onnxt5,,nlp,https://github.com/abelriboulot/onnxt5,https://github.com/abelriboulot/onnxt5,Apache-2.0,2020-08-01 09:38:35.000000,2021-01-28 09:26:15.000000,2021-01-28 09:24:52.000000,19,3.0,6.0,137,74.0,\"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..\",3.0,14,False,2021-01-28 09:26:15.000000,0.1.8,11.0,onnxt5,,,,,,,https://pypi.org/project/onnxt5,2021-01-28 09:26:15.000000,,114.0,114.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n817,ModelChimp,ModelChimp/modelchimp,,ml-experiments,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03.000000,2021-02-17 23:40:31.000000,2021-02-15 13:37:13.000000,11,4.0,10.0,119,361.0,Experiment tracking for machine and deep learning projects.,3.0,14,False,2019-04-09 10:43:15.000000,0.4.0,37.0,modelchimp,,modelchimp/modelchimp-server,,,,,https://pypi.org/project/modelchimp,2019-04-09 10:41:20.000000,,46.0,69.0,,,,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,634.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n818,DeepNeuro,QTIM-Lab/DeepNeuro,,medical-data,https://github.com/QTIM-Lab/DeepNeuro,https://github.com/QTIM-Lab/DeepNeuro,MIT,2017-06-01 19:36:34.000000,2020-06-24 13:00:15.000000,2020-06-24 13:00:14.000000,31,27.0,16.0,98,285.0,A deep learning python package for neuroimaging data. Made by:.,6.0,14,False,2019-06-10 21:04:04.000000,0.2.3,6.0,deepneuro,,,,,1.0,1.0,https://pypi.org/project/deepneuro,2019-06-10 21:04:04.000000,,28.0,28.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n819,nptsne,biovault/nptsne,,data-viz,https://github.com/biovault/nptsne,https://github.com/biovault/nptsne,Apache-2.0,2019-06-28 08:40:25.000000,2021-02-18 14:37:20.000000,2021-02-03 08:52:27.000000,2,6.0,5.0,24,857.0,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,3.0,14,False,2020-09-10 23:54:14.000000,1.1.0,2.0,nptsne,,,,,2.0,2.0,https://pypi.org/project/nptsne,2020-09-10 23:54:14.000000,,35.0,35.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n820,StarSpace,facebookresearch/StarSpace,,ml-frameworks,https://github.com/facebookresearch/StarSpace,https://github.com/facebookresearch/StarSpace,MIT,2017-06-28 17:50:18.000000,2020-05-18 03:40:57.000000,2019-12-13 19:03:25.000000,494,50.0,146.0,3547,138.0,\"Learning embeddings for classification, retrieval and ranking.\",17.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n821,OpenKE,thunlp/OpenKE,,graph,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,MIT,2017-10-08 11:20:23.000000,2020-04-08 11:00:38.000000,2020-04-08 11:00:32.000000,737,52.0,223.0,2390,97.0,An Open-Source Package for Knowledge Embedding (KE).,10.0,13,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n822,micrograd,karpathy/micrograd,,pytorch-utils,https://github.com/karpathy/micrograd,https://github.com/karpathy/micrograd,MIT,2020-04-13 04:31:18.000000,2020-12-18 12:55:50.000000,2020-04-18 19:15:25.000000,116,2.0,3.0,1590,24.0,A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.,2.0,13,True,2020-04-18 19:06:59.000000,0.1.0,1.0,micrograd,,,,['pytorch'],1.0,1.0,https://pypi.org/project/micrograd,2020-04-18 19:06:59.000000,0.0,11.0,11.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n823,GraphVite,DeepGraphLearning/graphvite,,graph,https://github.com/DeepGraphLearning/graphvite,https://github.com/DeepGraphLearning/graphvite,Apache-2.0,2019-07-16 15:48:20.000000,2021-01-14 02:19:03.000000,2021-01-14 02:18:46.000000,118,25.0,55.0,850,15.0,GraphVite: A General and High-performance Graph Embedding System.,1.0,13,True,,,4.0,,milagraph/graphvite,,,,,,,,,,194.0,https://anaconda.org/milagraph/graphvite,2020-03-19 18:21:30.972000,3494.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n824,NeoML,neoml-lib/neoml,,ml-frameworks,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000000,2021-02-18 14:00:54.000000,2021-02-18 14:00:27.000000,80,16.0,13.0,564,217.0,Machine learning framework for both deep learning and traditional algorithms.,18.0,13,True,2020-06-14 17:44:03.000000,NeoML-master_1.0.1.0,1.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n825,Adversary,airbnb/artificial-adversary,,adversarial,https://github.com/airbnb/artificial-adversary,https://github.com/airbnb/artificial-adversary,MIT,2018-08-08 04:42:11.000000,2018-10-14 05:34:44.000000,2018-08-29 15:31:30.000000,48,7.0,,343,15.0,Tool to generate adversarial text examples and test machine learning models against them.,5.0,13,False,2018-08-29 15:14:41.000000,1.1.1,3.0,Adversary,,,,,6.0,6.0,https://pypi.org/project/Adversary,2018-08-29 15:14:41.000000,,18.0,18.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n826,Auptimizer,LGE-ARC-AdvancedAI/auptimizer,,hyperopt,https://github.com/LGE-ARC-AdvancedAI/auptimizer,https://github.com/LGE-ARC-AdvancedAI/auptimizer,GPL-3.0,2019-09-12 01:08:37.000000,2020-12-04 01:00:53.000000,2020-12-04 00:51:11.000000,20,,4.0,160,68.0,An automatic ML model optimization tool.,11.0,13,False,2020-11-19 05:14:22.000000,1.4,6.0,auptimizer,,,,,,,https://pypi.org/project/auptimizer,2020-11-19 00:23:49.000000,,41.0,41.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n827,Hypermax,electricbrainio/hypermax,,hyperopt,https://github.com/electricbrainio/hypermax,https://github.com/electricbrainio/hypermax,BSD-3-Clause,2018-07-27 18:43:01.000000,2020-08-02 18:08:50.000000,2020-08-02 18:08:46.000000,15,3.0,1.0,94,207.0,\"Better, faster hyper-parameter optimization.\",9.0,13,False,2019-10-23 15:40:12.000000,0.5.1,11.0,hypermax,,,,,4.0,4.0,https://pypi.org/project/hypermax,2019-10-23 15:40:12.000000,,18.0,18.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n828,Attribution Priors,suinleelab/attributionpriors,,interpretability,https://github.com/suinleelab/attributionpriors,https://github.com/suinleelab/attributionpriors,MIT,2019-06-24 23:54:24.000000,2021-02-09 23:48:05.000000,2021-02-09 23:48:00.000000,4,1.0,3.0,74,70.0,Tools for training explainable models using attribution priors.,6.0,13,False,2019-10-31 18:03:05.000000,0.1.3,4.0,attributionpriors,,,,\"['tensorflow', 'pytorch']\",2.0,2.0,https://pypi.org/project/attributionpriors,2019-10-31 18:03:05.000000,,21.0,21.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n829,surpriver,tradytics/surpriver,,financial-data,https://github.com/tradytics/surpriver,https://github.com/tradytics/surpriver,GPL-3.0,2020-08-30 07:56:22.000000,2020-11-13 00:48:16.000000,2020-09-21 04:32:05.000000,200,9.0,4.0,1104,64.0,Find big moving stocks before they move using machine learning and anomaly detection.,6.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n830,Medical Detection Toolkit,MIC-DKFZ/medicaldetectiontoolkit,,medical-data,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,Apache-2.0,2018-10-12 12:34:57.000000,2020-10-14 11:17:37.000000,2020-04-18 12:52:08.000000,233,27.0,85.0,902,36.0,\"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..\",3.0,12,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n831,featurewiz,AutoViML/featurewiz,,hyperopt,https://github.com/AutoViML/featurewiz,https://github.com/AutoViML/featurewiz,Apache-2.0,2020-11-29 16:46:16.000000,2021-02-01 23:38:45.000000,2021-02-01 23:22:25.000000,13,,,39,,Use advanced feature engineering strategies and select the best features from your data set fast with a single line of..,1.0,12,False,2021-02-01 23:38:45.000000,0.0.17,17.0,featurewiz,,,,,,,https://pypi.org/project/featurewiz,2021-02-01 23:38:45.000000,,175.0,175.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n832,LazyCluster,ml-tooling/lazycluster,,distributed-ml,https://github.com/ml-tooling/lazycluster,https://github.com/ml-tooling/lazycluster,Apache-2.0,2019-08-07 08:05:13.000000,2021-02-10 02:39:55.000000,2020-12-14 15:24:53.000000,6,,,33,,Distributed machine learning made simple.,2.0,12,False,2020-12-14 15:25:59.000000,0.2.4,5.0,lazycluster,,,,,2.0,2.0,https://pypi.org/project/lazycluster,2020-12-14 14:49:33.000000,,36.0,36.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n833,MedicalNet,Tencent/MedicalNet,,medical-data,https://github.com/Tencent/MedicalNet,https://github.com/Tencent/MedicalNet,MIT,2019-07-17 09:53:10.000000,2020-08-27 13:37:27.000000,2020-08-27 13:37:26.000000,283,43.0,14.0,1056,26.0,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,1.0,11,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n834,Devol,joeddav/devol,,hyperopt,https://github.com/joeddav/devol,https://github.com/joeddav/devol,MIT,2017-02-10 03:07:54.000000,2020-07-05 21:56:59.000000,2020-07-05 21:56:58.000000,109,7.0,20.0,924,116.0,Genetic neural architecture search with Keras.,18.0,11,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n835,PySparNN,facebookresearch/pysparnn,,nn-search,https://github.com/facebookresearch/pysparnn,https://github.com/facebookresearch/pysparnn,BSD-3-Clause,2016-03-28 20:43:42.000000,2020-10-02 06:01:01.000000,2018-01-31 16:50:23.000000,140,11.0,14.0,846,147.0,Approximate Nearest Neighbor Search for Sparse Data in Python!.,5.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n836,traingenerator,jrieke/traingenerator,,others,https://github.com/jrieke/traingenerator,https://github.com/jrieke/traingenerator,MIT,2020-12-03 16:47:16.000000,2021-02-04 09:41:40.000000,2021-01-20 23:05:06.000000,116,9.0,3.0,926,,A web app to generate template code for machine learning.,3.0,10,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n837,Mozart,aashrafh/Mozart,,ocr,https://github.com/aashrafh/Mozart,https://github.com/aashrafh/Mozart,Apache-2.0,2020-12-14 11:49:14.000000,2021-02-11 08:19:14.000000,2021-01-14 17:13:58.000000,36,1.0,1.0,230,,An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.,5.0,10,True,,,,,,,,['sklearn'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n838,Hypertunity,gdikov/hypertunity,,hyperopt,https://github.com/gdikov/hypertunity,https://github.com/gdikov/hypertunity,Apache-2.0,2019-06-02 12:04:55.000000,2020-01-26 23:14:49.000000,2020-01-26 22:53:29.000000,9,,2.0,120,64.0,A toolset for black-box hyperparameter optimisation.,2.0,10,False,2020-01-26 23:08:16.000000,1.0.1,7.0,hypertunity,,,,,2.0,2.0,https://pypi.org/project/hypertunity,2020-01-26 23:08:16.000000,,8.0,8.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n839,bias-detector,intuit/bias-detector,,interpretability,https://github.com/intuit/bias-detector,https://github.com/intuit/bias-detector,MIT,2021-02-02 16:58:52.000000,2021-02-14 12:06:08.000000,2021-02-14 12:06:02.000000,2,,,15,,Bias Detector is a python package for detecting bias in machine learning models.,3.0,10,False,2021-02-09 11:20:10.000000,0.0.11,10.0,bias-detector,,,,,,,https://pypi.org/project/bias-detector,2021-02-09 11:20:10.000000,,132.0,132.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,True\n840,traintool,jrieke/traintool,,ml-experiments,https://github.com/jrieke/traintool,https://github.com/jrieke/traintool,Apache-2.0,2020-09-30 22:23:05.000000,2020-11-18 02:51:43.000000,2020-11-18 02:50:52.000000,1,,,9,120.0,Train off-the-shelf machine learning models in one line of code.,,9,False,2020-11-02 02:25:32.000000,0.0.3,3.0,traintool,,,,\"['pytorch', 'tensorflow', 'sklearn']\",,,https://pypi.org/project/traintool,2020-11-02 02:25:32.000000,,12.0,12.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n"
  },
  {
    "path": "history/2021-02-25_changes.md",
    "content": "## 📈 Trending Up\n\n_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._\n\n- <b><a href=\"https://github.com/pytorch/vision\">torchvision</a></b> (🥇36 ·  ⭐ 8.4K · 📈) - Datasets, Transforms and Models specific to Computer.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/tensorflow/datasets\">TensorFlow Datasets</a></b> (🥇32 ·  ⭐ 2.7K · 📈) - TFDS is a collection of datasets ready to use with.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/mozilla/DeepSpeech\">DeepSpeech</a></b> (🥇31 ·  ⭐ 17K · 📈) - DeepSpeech is an open source embedded (offline, on-.. <code><a href=\"http://bit.ly/3postzC\">MPL-2.0</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/pytorch/fairseq\">fairseq</a></b> (🥇31 ·  ⭐ 11K · 📈) - Facebook AI Research Sequence-to-Sequence Toolkit written in.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/HIPS/autograd\">Autograd</a></b> (🥇30 ·  ⭐ 5.1K · 💀) - Efficiently computes derivatives of numpy code. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/jupyter-widgets/pythreejs\">pythreejs</a></b> (🥉26 ·  ⭐ 700 · 📈) - A Jupyter - Three.js bridge. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/RJT1990/pyflux\">PyFlux</a></b> (🥈23 ·  ⭐ 1.8K · 💀) - Open source time series library for Python. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/pytorchbearer/torchbearer\">Torchbearer</a></b> (🥉20 ·  ⭐ 580 · 📈) - torchbearer: A model fitting library for PyTorch. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/pandas-ml/pandas-ml\">pandas-ml</a></b> (🥉19 ·  ⭐ 270 · 💀) - pandas, scikit-learn, xgboost and seaborn integration. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code><img src=\"https://git.io/JLy1S\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/uber/orbit\">Orbit</a></b> (🥉18 ·  ⭐ 330 · 📈) - Bayesian forecasting with object-oriented design and probabilistic.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n\n## 📉 Trending Down\n\n_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._\n\n- <b><a href=\"https://github.com/scikit-image/scikit-image\">scikit-image</a></b> (🥇32 ·  ⭐ 4.2K · 📉) - Image processing in Python. <code><a href=\"http://bit.ly/3rqEWVr\">BSD-2</a></code>\n- <b><a href=\"https://github.com/Yelp/mrjob\">mrjob</a></b> (🥈29 ·  ⭐ 2.5K · 📉) - Run MapReduce jobs on Hadoop or Amazon Web Services. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/facebookresearch/fastText\">fastText</a></b> (🥈27 ·  ⭐ 22K · 💤) - Library for fast text representation and classification. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/simonw/datasette\">Datasette</a></b> (🥈26 ·  ⭐ 4.7K · 📉) - An open source multi-tool for exploring and publishing data. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/jaraco/inflect\">inflect</a></b> (🥈26 ·  ⭐ 480 · 📉) - Correctly generate plurals, ordinals, indefinite articles; convert.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/alteryx/featuretools\">featuretools</a></b> (🥈25 ·  ⭐ 5.4K · 📉) - An open source python library for automated feature.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/frictionlessdata/tabulator-py\">tabulator-py</a></b> (🥉25 ·  ⭐ 200 · 📉) - Python library for reading and writing tabular data via streams. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/bashtage/arch\">arch</a></b> (🥉23 ·  ⭐ 650 · 📉) - ARCH models in Python. <code><a href=\"https://tldrlegal.com/search?q=NCSA\">❗️NCSA</a></code>\n- <b><a href=\"https://github.com/microsoft/tensorwatch\">TensorWatch</a></b> (🥉22 ·  ⭐ 3K · 📉) - Debugging, monitoring and visualization for Python Machine.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/astroML/astroML\">AstroML</a></b> (🥉22 ·  ⭐ 730 · 📉) - Machine learning, statistics, and data mining for astronomy and.. <code><a href=\"http://bit.ly/3rqEWVr\">BSD-2</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n\n"
  },
  {
    "path": "history/2021-02-25_projects.csv",
    "content": ",name,github_id,resource,category,github_url,homepage,license,created_at,updated_at,last_commit_pushed_at,fork_count,open_issue_count,closed_issue_count,star_count,commit_count,description,contributor_count,projectrank,show,latest_stable_release_published_at,latest_stable_release_number,release_count,pypi_id,conda_id,dockerhub_id,docs_url,labels,dependent_project_count,github_dependent_project_count,pypi_url,pypi_latest_release_published_at,pypi_dependent_project_count,pypi_monthly_downloads,monthly_downloads,conda_url,conda_latest_release_published_at,conda_total_downloads,dockerhub_url,dockerhub_latest_release_published_at,dockerhub_stars,dockerhub_pulls,projectrank_placing,github_release_downloads,helm_id,trending,npm_id,npm_url,npm_latest_release_published_at,npm_dependent_project_count,npm_monthly_downloads,conda_dependent_project_count,brew_id,apt_id,yum_id,updated_github_id,snap_id,maven_id,maven_url,maven_latest_release_published_at,maven_dependent_project_count,dnf_id,yay_id,gitlab_id,gitlab_url\n0,ANN Benchmarks,erikbern/ann-benchmarks,True,nn-search,https://github.com/erikbern/ann-benchmarks,https://github.com/erikbern/ann-benchmarks,MIT,2015-05-28 13:21:43.000000,2021-02-23 09:14:10.000000,2021-02-03 11:59:35.000000,326,25.0,58.0,2065,1173.0,Benchmarks of approximate nearest neighbor libraries in Python.,53.0,0,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n1,best-of-web-python - Web Scraping,ml-tooling/best-of-web-python,True,web-scraping,https://github.com/ml-tooling/best-of-web-python,https://github.com/ml-tooling/best-of-web-python,CC-BY-SA-4.0,2021-01-05 13:09:27.000000,2021-02-25 15:26:09.000000,2021-02-18 16:33:46.000000,61,,2.0,1041,,Collection of web-scraping and crawling libraries.,6.0,0,True,2021-02-18 16:33:55.000000,2021.02.18,8.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n2,best-of-python - DB Clients,ml-tooling/best-of-python,True,db-clients,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#database-clients,CC-BY-SA-4.0,2021-01-11 19:11:32.000000,2021-02-25 15:11:42.000000,2021-02-25 15:11:40.000000,90,,2.0,1435,,Collection of database clients for python.,5.0,0,True,2021-02-25 15:11:49.000000,2021.02.25,8.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n3,Tensorflow,tensorflow/tensorflow,,ml-frameworks,https://github.com/tensorflow/tensorflow,https://github.com/tensorflow/tensorflow,Apache-2.0,2015-11-07 01:19:20.000000,2021-02-25 14:04:33.000000,2021-02-25 14:03:39.000000,84074,4030.0,26592.0,155369,105420.0,An Open Source Machine Learning Framework for Everyone.,3540.0,44,True,2021-01-21 19:55:54.000000,2.4.1,116.0,tensorflow,conda-forge/tensorflow,tensorflow/tensorflow,https://www.tensorflow.org/overview,['tensorflow'],146260.0,123736.0,https://pypi.org/project/tensorflow,2021-01-21 19:38:00.000000,22524.0,3998796.0,4801719.0,https://anaconda.org/conda-forge/tensorflow,2020-07-15 22:30:18.070000,2341365.0,https://hub.docker.com/r/tensorflow/tensorflow,2021-02-25 13:46:48.332025,1849.0,48084081.0,1.0,,,,,,,,,,,,,,,,,,,,,,\n4,numpy,numpy/numpy,,data-containers,https://github.com/numpy/numpy,https://github.com/numpy/numpy,BSD-3-Clause,2010-09-13 23:02:39.000000,2021-02-25 13:10:12.000000,2021-02-25 02:50:45.000000,5279,2271.0,7356.0,16371,25645.0,The fundamental package for scientific computing with Python.,1263.0,42,True,2021-02-07 21:07:19.000000,1.20.1,96.0,numpy,conda-forge/numpy,,,,803594.0,633872.0,https://pypi.org/project/numpy,2021-02-07 20:27:20.000000,169722.0,27816182.0,28114448.0,https://anaconda.org/conda-forge/numpy,2021-02-10 11:44:00.243000,16653695.0,,,,,1.0,310900.0,,,,,,,,,,,,,,,,,,,,,\n5,Matplotlib,matplotlib/matplotlib,,data-viz,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,Python-2.0,2011-02-19 03:17:12.000000,2021-02-25 14:24:22.000000,2021-02-20 18:15:26.000000,5646,1688.0,6027.0,13187,38000.0,matplotlib: plotting with Python.,1206.0,41,True,2021-01-28 08:54:50.000000,3.3.4,62.0,matplotlib,conda-forge/matplotlib,,,,409985.0,330881.0,https://pypi.org/project/matplotlib,2021-01-28 08:34:18.000000,79104.0,7588910.0,7715980.0,https://anaconda.org/conda-forge/matplotlib,2021-01-28 20:05:11.672000,8259579.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n6,pandas,pandas-dev/pandas,,data-containers,https://github.com/pandas-dev/pandas,https://github.com/pandas-dev/pandas,BSD-3-Clause,2010-08-24 01:37:33.000000,2021-02-25 14:51:52.000000,2021-02-25 13:40:45.000000,11915,3657.0,16542.0,28633,26009.0,\"Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R..\",2599.0,40,True,2021-02-09 13:20:50.000000,1.2.2,89.0,pandas,conda-forge/pandas,,,['pandas'],76784.0,,https://pypi.org/project/pandas,2021-02-09 13:20:50.000000,76784.0,18255048.0,18507418.0,https://anaconda.org/conda-forge/pandas,2021-02-09 18:54:54.454000,14319974.0,,,,,1.0,97156.0,,,,,,,,,,,,,,,,,,,,,\n7,scipy,scipy/scipy,,others,https://github.com/scipy/scipy,https://github.com/scipy/scipy,BSD-3-Clause,2011-03-09 18:52:03.000000,2021-02-25 15:00:56.000000,2021-02-24 03:05:51.000000,3578,1593.0,5756.0,7945,25070.0,\"Ecosystem of open-source software for mathematics, science, and engineering.\",1125.0,40,True,2021-02-18 03:16:09.000000,1.6.1,61.0,scipy,conda-forge/scipy,,,,394728.0,307866.0,https://pypi.org/project/scipy,2021-02-18 02:35:14.000000,86862.0,10978800.0,11206978.0,https://anaconda.org/conda-forge/scipy,2021-02-05 14:18:57.636000,12744753.0,,,,,1.0,307275.0,,,,,,,,,,,,,,,,,,,,,\n8,PyTorch,pytorch/pytorch,,ml-frameworks,https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41.000000,2021-02-25 14:11:25.000000,2021-02-25 08:43:57.000000,12201,7846.0,13046.0,46423,33840.0,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,2517.0,39,True,2020-12-10 17:19:58.000000,1.7.1,30.0,torch,pytorch/pytorch,,https://pytorch.org/docs/stable/index.html,['pytorch'],70565.0,63883.0,https://pypi.org/project/torch,2020-12-10 16:22:02.000000,6682.0,1279184.0,1541141.0,https://anaconda.org/pytorch/pytorch,2020-12-10 16:11:32.801000,10216334.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n9,Pillow,python-pillow/Pillow,,image,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000000,2021-02-25 12:51:04.000000,2021-02-24 09:04:53.000000,1584,256.0,1887.0,8249,11183.0,The friendly PIL fork (Python Imaging Library).,347.0,39,True,2021-01-02 20:13:09.000000,8.1.0,77.0,Pillow,conda-forge/pillow,,,,519319.0,407893.0,https://pypi.org/project/Pillow,2021-01-02 20:11:59.000000,111426.0,10307273.0,10432661.0,https://anaconda.org/conda-forge/pillow,2021-02-08 21:04:14.986000,7272560.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n10,PySpark,apache/spark,,ml-frameworks,https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08.000000,2021-02-25 14:07:27.000000,2021-02-25 10:07:39.000000,23409,223.0,,28897,29414.0,Apache Spark Python API.,2406.0,38,True,2021-02-19 18:08:00.000000,3.0.2,22.0,pyspark,conda-forge/pyspark,,,['spark'],1329.0,569.0,https://pypi.org/project/pyspark,2021-02-19 18:08:00.000000,760.0,4414982.0,4434440.0,https://anaconda.org/conda-forge/pyspark,2021-02-22 08:23:42.987000,914529.0,,,,,1.0,,stable/spark,,,,,,,,,,,,,,,,,,,,\n11,Celery,celery/celery,,data-pipelines,https://github.com/celery/celery,https://github.com/celery/celery,BSD-3-Clause,2009-04-24 11:31:24.000000,2021-02-25 13:49:59.000000,2021-02-25 13:49:59.000000,3957,490.0,3944.0,16769,11524.0,Asynchronous task queue/job queue based on distributed message passing.,1089.0,38,True,2020-12-16 15:41:18.000000,5.0.5,171.0,celery,conda-forge/celery,,,,77536.0,49302.0,https://pypi.org/project/celery,2020-12-16 15:34:09.000000,28234.0,1697179.0,1703999.0,https://anaconda.org/conda-forge/celery,2021-02-08 18:58:32.032000,402430.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n12,scikit-learn,scikit-learn/scikit-learn,,ml-frameworks,https://github.com/scikit-learn/scikit-learn,https://github.com/scikit-learn/scikit-learn,BSD-3-Clause,2010-08-17 09:43:38.000000,2021-02-25 14:23:46.000000,2021-02-25 14:16:14.000000,21125,2336.0,6721.0,44688,,scikit-learn: machine learning in Python.,2164.0,37,True,2021-01-19 18:10:37.000000,0.24.1,53.0,scikit-learn,conda-forge/scikit-learn,,,['sklearn'],232368.0,194480.0,https://pypi.org/project/scikit-learn,2021-01-19 18:06:50.000000,37888.0,7665448.0,7790533.0,https://anaconda.org/conda-forge/scikit-learn,2021-01-21 23:33:46.354000,7129225.0,,,,,1.0,659.0,,,,,,,,,,,,,,,,,,,,,\n13,spaCy,explosion/spaCy,,nlp,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000000,2021-02-25 10:29:35.000000,2021-02-24 11:40:46.000000,3304,105.0,4292.0,19673,14305.0,Industrial-strength Natural Language Processing (NLP) in Python.,567.0,37,True,2021-02-14 04:44:43.000000,3.0.3,174.0,spacy,conda-forge/spacy,,,,24846.0,21780.0,https://pypi.org/project/spacy,2021-02-14 04:44:43.000000,3066.0,789634.0,820026.0,https://anaconda.org/conda-forge/spacy,2021-02-14 15:14:46.994000,1456165.0,,,,,1.0,2959.0,,,,,,,,,,,,,,,,,,,,,\n14,Seaborn,mwaskom/seaborn,,data-viz,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000000,2021-02-25 10:57:29.000000,2021-02-17 00:10:14.000000,1383,91.0,1693.0,8144,2759.0,Statistical data visualization using matplotlib.,149.0,37,True,2020-12-20 20:53:25.000000,0.11.1,23.0,seaborn,conda-forge/seaborn,,,,95518.0,82732.0,https://pypi.org/project/seaborn,2020-12-20 20:53:25.000000,12786.0,1624448.0,1662085.0,https://anaconda.org/conda-forge/seaborn,2021-01-28 11:50:33.609000,2032368.0,,,,,1.0,137.0,,,,,,,,,,,,,,,,,,,,,\n15,transformers,huggingface/transformers,,nlp,https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000000,2021-02-25 14:32:34.000000,2021-02-25 14:18:47.000000,10035,684.0,5435.0,41433,6630.0,Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.,785.0,36,True,2021-02-24 20:16:39.000000,4.3.3,52.0,transformers,conda-forge/transformers,,,\"['pytorch', 'tensorflow']\",8115.0,7987.0,https://pypi.org/project/transformers,2021-02-24 20:14:46.000000,128.0,596758.0,598240.0,https://anaconda.org/conda-forge/transformers,2021-02-09 21:34:57.119000,22978.0,,,,,1.0,1261.0,,,,,,,,,,,,,,,,,,,,,\n16,Faker,joke2k/faker,,data-loading,https://github.com/joke2k/faker,https://github.com/joke2k/faker,MIT,2012-11-12 23:00:09.000000,2021-02-25 07:28:00.000000,2021-02-24 17:45:42.000000,1377,135.0,354.0,12142,2573.0,Faker is a Python package that generates fake data for you.,391.0,36,True,2021-02-24 17:46:38.000000,6.5.0,125.0,Faker,conda-forge/faker,,,,28452.0,23740.0,https://pypi.org/project/Faker,2021-02-24 17:46:24.000000,4712.0,1485053.0,1493130.0,https://anaconda.org/conda-forge/faker,2021-02-24 18:54:31.058000,379662.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n17,networkx,networkx/networkx,,graph,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44.000000,2021-02-25 08:28:34.000000,2021-02-24 04:05:50.000000,2216,271.0,2316.0,8701,6426.0,Network Analysis in Python.,496.0,36,True,2020-08-22 20:10:33.000000,networkx-2.5,52.0,networkx,conda-forge/networkx,,,,88424.0,67606.0,https://pypi.org/project/networkx,2020-08-22 20:38:37.000000,20818.0,4288572.0,4347927.0,https://anaconda.org/conda-forge/networkx,2020-08-23 19:29:02.065000,3086485.0,,,,,1.0,51.0,,,,,,,,,,,,,,,,,,,,,\n18,torchvision,pytorch/vision,,image,https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000000,2021-02-25 14:43:15.000000,2021-02-25 11:36:25.000000,4350,445.0,1138.0,8438,1506.0,\"Datasets, Transforms and Models specific to Computer Vision.\",362.0,36,True,2020-12-10 17:10:41.000000,0.8.2,21.0,torchvision,conda-forge/torchvision,,,['pytorch'],46969.0,42357.0,https://pypi.org/project/torchvision,2020-12-10 16:27:20.000000,4612.0,446550.0,447447.0,https://anaconda.org/conda-forge/torchvision,2018-10-14 22:06:28.203000,34111.0,,,,,1.0,,,1.0,,,,,,,,,,,,,,,,,,,\n19,SymPy,sympy/sympy,,others,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000000,2021-02-25 11:22:32.000000,2021-02-25 10:03:34.000000,3308,4053.0,7140.0,7848,46209.0,A computer algebra system written in pure Python.,1038.0,36,True,2020-12-12 23:23:00.000000,1.7.1,36.0,sympy,conda-forge/sympy,,,,35647.0,29225.0,https://pypi.org/project/sympy,2020-12-12 23:23:00.000000,6422.0,480102.0,507633.0,https://anaconda.org/conda-forge/sympy,2021-01-08 20:38:32.429000,1308634.0,,,,,1.0,416175.0,,,,,,,,,,,,,,,,,,,,,\n20,StatsModels,statsmodels/statsmodels,,ml-frameworks,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000000,2021-02-19 18:34:35.000000,2021-02-19 14:10:59.000000,2156,2080.0,2261.0,6044,13587.0,Statsmodels: statistical modeling and econometrics in Python.,302.0,36,True,2021-02-02 11:08:49.000000,0.12.2,25.0,statsmodels,conda-forge/statsmodels,,,,44457.0,37801.0,https://pypi.org/project/statsmodels,2021-02-02 11:08:49.000000,6656.0,2286862.0,2347961.0,https://anaconda.org/conda-forge/statsmodels,2021-02-15 17:38:00.380000,3421557.0,,,,,1.0,25.0,,,,,,,,,,,,,,,,,,,,,\n21,Tensorboard,tensorflow/tensorboard,,ml-experiments,https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000000,2021-02-25 12:52:47.000000,2021-02-24 23:19:41.000000,1365,539.0,936.0,5166,4294.0,TensorFlow's Visualization Toolkit.,252.0,36,True,2021-01-14 20:49:19.000000,2.4.1,36.0,tensorboard,conda-forge/tensorboard,,,['tensorflow'],58709.0,55095.0,https://pypi.org/project/tensorboard,2021-01-14 20:49:19.000000,3614.0,3829884.0,3873786.0,https://anaconda.org/conda-forge/tensorboard,2021-01-15 08:30:57.960000,1712180.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n22,h5py,h5py/h5py,,data-containers,https://github.com/h5py/h5py,https://github.com/h5py/h5py,BSD-3-Clause,2012-09-21 00:40:02.000000,2021-02-25 14:09:26.000000,2021-02-25 14:09:26.000000,393,184.0,961.0,1484,3566.0,HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.,161.0,36,True,2020-11-06 14:30:54.000000,3.1.0,25.0,h5py,conda-forge/h5py,,,,126486.0,103550.0,https://pypi.org/project/h5py,2020-11-06 14:30:54.000000,22936.0,3642367.0,3721269.0,https://anaconda.org/conda-forge/h5py,2021-01-01 10:48:16.133000,4654156.0,,,,,1.0,863.0,,,,,,,,,,,,,,,,,,,,,\n23,Keras,keras-team/keras,,ml-frameworks,https://github.com/keras-team/keras,https://github.com/keras-team/keras,MIT,2015-03-28 00:35:42.000000,2021-02-25 06:39:36.000000,2021-02-24 18:43:05.000000,18712,3204.0,7234.0,50761,5416.0,Deep Learning for humans.,901.0,35,True,2020-06-24 22:40:48.000000,2.4.3,53.0,keras,conda-forge/keras,,https://keras.io,['tensorflow'],14996.0,,https://pypi.org/project/keras,2020-06-24 22:40:48.000000,14996.0,1352727.0,1379885.0,https://anaconda.org/conda-forge/keras,2020-06-25 19:13:34.254000,1466561.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n24,OpenAI Gym,openai/gym,,reinforcement-learning,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16.000000,2021-02-19 04:14:18.000000,2021-02-16 19:31:40.000000,6656,251.0,1062.0,23525,1242.0,A toolkit for developing and comparing reinforcement learning algorithms.,273.0,35,True,2020-12-19 00:29:36.000000,0.18.0,92.0,gym,,,,,21699.0,18137.0,https://pypi.org/project/gym,2020-12-19 00:29:36.000000,3562.0,231679.0,231679.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n25,Airflow,apache/airflow,,data-pipelines,https://github.com/apache/airflow,https://github.com/apache/airflow,Apache-2.0,2015-04-13 18:04:58.000000,2021-02-25 15:23:15.000000,2021-02-25 15:23:15.000000,8050,1040.0,2044.0,20788,11733.0,\"Platform to programmatically author, schedule, and monitor workflows.\",1765.0,35,True,2021-02-08 22:50:02.000000,2.0.1,71.0,apache-airflow,conda-forge/airflow,apache/airflow,,,294.0,,https://pypi.org/project/apache-airflow,2021-02-08 22:43:55.000000,294.0,515879.0,651763.0,https://anaconda.org/conda-forge/airflow,2021-02-16 09:49:35.732000,279130.0,https://hub.docker.com/r/apache/airflow,2021-02-25 02:09:24.751067,219.0,8978372.0,1.0,93725.0,stable/airflow,,,,,,,,,,,,,,,,,,,,\n26,XGBoost,dmlc/xgboost,,ml-frameworks,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000000,2021-02-25 14:08:14.000000,2021-02-25 14:08:14.000000,7873,250.0,3674.0,20613,5238.0,\"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..\",506.0,35,True,2021-01-20 13:52:38.000000,1.3.3,53.0,xgboost,conda-forge/xgboost,,https://xgboost.readthedocs.io/en/latest/,,15688.0,14096.0,https://pypi.org/project/xgboost,2021-01-20 13:39:06.000000,1592.0,1878325.0,1908059.0,https://anaconda.org/conda-forge/xgboost,2020-12-10 13:41:20.626000,1396433.0,,,,,1.0,1919.0,,,,,,,,,,,,,,,,,,,,,\n27,LightGBM,microsoft/LightGBM,,ml-frameworks,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000000,2021-02-25 05:11:45.000000,2021-02-24 14:25:01.000000,3176,92.0,2031.0,12216,2372.0,\"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..\",209.0,35,True,2020-12-08 03:00:35.000000,3.1.1,24.0,lightgbm,conda-forge/lightgbm,,,,6347.0,5791.0,https://pypi.org/project/lightgbm,2020-12-08 03:00:35.000000,556.0,1026480.0,1040259.0,https://anaconda.org/conda-forge/lightgbm,2021-02-23 19:15:02.093000,501567.0,,,,,1.0,97316.0,,,,,,,,,,,,,,,,,,,,,\n28,gensim,RaRe-Technologies/gensim,,nlp,https://github.com/RaRe-Technologies/gensim,https://github.com/RaRe-Technologies/gensim,LGPL-2.1,2011-02-10 07:43:04.000000,2021-02-25 06:20:17.000000,2021-02-13 00:31:17.000000,3903,351.0,1256.0,11757,3849.0,Topic Modelling for Humans.,387.0,35,True,2020-05-04 05:55:15.000000,3.8.3,83.0,gensim,conda-forge/gensim,,,,25777.0,21035.0,https://pypi.org/project/gensim,2020-11-15 12:53:37.000000,4742.0,4527376.0,4542160.0,https://anaconda.org/conda-forge/gensim,2020-05-14 08:28:35.604000,604191.0,,,,,1.0,3043.0,,,,,,,,,,,,,,,,,,,,,\n29,Plotly,plotly/plotly.py,,data-viz,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000000,2021-02-21 16:35:28.000000,2021-01-14 02:04:12.000000,1753,818.0,1053.0,8953,4923.0,The interactive graphing library for Python (includes Plotly Express).,162.0,35,True,2021-01-12 17:01:21.000000,4.14.3,265.0,plotly,conda-forge/plotly,,,,4991.0,5.0,https://pypi.org/project/plotly,2021-01-12 16:12:40.000000,4982.0,1983578.0,2252163.0,https://anaconda.org/conda-forge/plotly,2021-01-12 17:11:42.117000,1221133.0,,,,,1.0,,,,plotlywidget,https://www.npmjs.com/package/plotlywidget,2021-01-12 16:09:46.133000,4.0,245972.0,,,,,,,,,,,,,,\n30,dask,dask/dask,,distributed-ml,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000000,2021-02-25 13:53:16.000000,2021-02-24 15:30:45.000000,1220,731.0,2854.0,7962,6350.0,Parallel computing with task scheduling.,426.0,35,True,2021-02-05 19:29:50.000000,2021.2.0,112.0,dask,conda-forge/dask,,,,29416.0,25500.0,https://pypi.org/project/dask,2021-02-05 19:29:50.000000,3916.0,1218858.0,1271616.0,https://anaconda.org/conda-forge/dask,2021-02-06 12:05:38.376000,3007260.0,,,,,1.0,,stable/dask,,,,,,,,,,,,,,,,,,,,\n31,Arrow,apache/arrow,,data-containers,https://github.com/apache/arrow,https://github.com/apache/arrow,Apache-2.0,2016-02-17 08:00:23.000000,2021-02-25 15:09:28.000000,2021-02-25 05:01:47.000000,1802,136.0,566.0,7239,8625.0,Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-..,629.0,35,True,2021-01-26 01:05:45.000000,3.0.0,30.0,pyarrow,conda-forge/arrow,,,,1018.0,32.0,https://pypi.org/project/pyarrow,2021-01-26 01:05:45.000000,986.0,10824303.0,10832708.0,https://anaconda.org/conda-forge/arrow,2021-01-12 20:46:01.093000,479100.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n32,joblib,joblib/joblib,,data-pipelines,https://github.com/joblib/joblib,https://github.com/joblib/joblib,BSD-3-Clause,2010-05-07 06:48:26.000000,2021-02-09 20:01:33.000000,2021-02-09 16:47:12.000000,286,291.0,354.0,2353,1367.0,Computing with Python functions.,98.0,35,True,2021-02-09 16:46:29.000000,1.0.1,100.0,joblib,conda-forge/joblib,,,,90604.0,83994.0,https://pypi.org/project/joblib,2021-02-09 16:46:29.000000,6610.0,10674679.0,10735855.0,https://anaconda.org/conda-forge/joblib,2021-02-09 19:26:28.194000,3364699.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n33,dash,plotly/dash,,data-viz,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000000,2021-02-22 17:45:01.000000,2021-02-15 19:52:46.000000,1414,405.0,561.0,14010,3543.0,\"Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.\",74.0,34,True,2021-01-20 00:00:50.000000,1.19.0,137.0,dash,conda-forge/dash,,,,19303.0,17695.0,https://pypi.org/project/dash,2021-01-19 23:50:28.000000,1608.0,167241.0,173878.0,https://anaconda.org/conda-forge/dash,2021-01-21 16:17:38.594000,219033.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n34,shap,slundberg/shap,,interpretability,https://github.com/slundberg/shap,https://github.com/slundberg/shap,MIT,2016-11-22 19:17:08.000000,2021-02-25 01:55:45.000000,2021-02-24 23:15:39.000000,1708,954.0,507.0,11830,1844.0,A game theoretic approach to explain the output of any machine learning model.,152.0,34,True,2021-01-15 18:02:54.000000,0.38.1,93.0,shap,conda-forge/shap,,,,2187.0,2051.0,https://pypi.org/project/shap,2021-01-15 21:02:34.000000,136.0,742772.0,755985.0,https://anaconda.org/conda-forge/shap,2020-12-16 19:26:39.477000,396416.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n35,nltk,nltk/nltk,,nlp,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58.000000,2021-02-25 12:21:09.000000,2021-02-10 00:34:01.000000,2434,233.0,1224.0,9655,,Suite of libraries and programs for symbolic and statistical natural language processing for English.,387.0,34,True,2019-08-20 10:55:21.000000,3.4.5,39.0,nltk,conda-forge/nltk,,,,111260.0,90268.0,https://pypi.org/project/nltk,2020-04-12 23:46:10.000000,20992.0,3700699.0,3712314.0,https://anaconda.org/conda-forge/nltk,2019-08-08 17:07:46.504000,627227.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n36,Theano,Theano/Theano,,ml-frameworks,https://github.com/Theano/Theano,https://github.com/Theano/Theano,BSD-3-Clause,2011-08-10 03:48:06.000000,2021-01-27 07:16:52.000000,2020-09-05 10:39:50.000000,2501,674.0,2083.0,9362,28123.0,\"Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-..\",382.0,34,True,2020-07-27 16:13:54.000000,1.0.5,45.0,theano,conda-forge/theano,,,,15776.0,10302.0,https://pypi.org/project/theano,2020-07-27 16:13:54.000000,5474.0,116464.0,140638.0,https://anaconda.org/conda-forge/theano,2021-01-21 21:14:21.756000,1329621.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n37,xlrd,python-excel/xlrd,,data-loading,https://github.com/python-excel/xlrd,https://github.com/python-excel/xlrd,BSD-3-Clause,2012-03-07 04:50:48.000000,2021-01-09 20:35:27.639000,2020-12-12 15:24:25.000000,406,3.0,,1864,502.0,Please use openpyxl where you can...,50.0,34,True,2020-12-11 10:14:20.000000,2.0.1,24.0,xlrd,conda-forge/xlrd,,,,78292.0,64718.0,https://pypi.org/project/xlrd,2020-12-11 10:14:20.000000,13574.0,3862089.0,3888229.0,https://anaconda.org/conda-forge/xlrd,2021-01-09 20:35:27.639000,1228600.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n38,dask.distributed,dask/distributed,,distributed-ml,https://github.com/dask/distributed,https://github.com/dask/distributed,BSD-3-Clause,2015-09-13 18:42:29.000000,2021-02-25 14:26:10.000000,2021-02-24 18:39:47.000000,511,741.0,1274.0,1149,3805.0,A distributed task scheduler for Dask.,227.0,34,True,2021-02-05 19:40:27.000000,2021.2.0,143.0,distributed,conda-forge/distributed,,,,18600.0,16822.0,https://pypi.org/project/distributed,2021-02-05 19:40:27.000000,1778.0,823543.0,889467.0,https://anaconda.org/conda-forge/distributed,2021-02-06 03:40:27.263000,3757711.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n39,MXNet,apache/incubator-mxnet,,ml-frameworks,https://github.com/apache/incubator-mxnet,https://github.com/apache/incubator-mxnet,Apache-2.0,2015-04-30 16:21:15.000000,2021-02-25 13:56:04.000000,2021-02-24 19:48:37.000000,6804,1829.0,7580.0,19289,11528.0,\"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..\",948.0,33,True,2020-08-28 05:08:24.000000,1.7.0,977.0,mxnet,mxnet,,,['mxnet'],2283.0,1839.0,https://pypi.org/project/mxnet,2021-02-07 21:07:57.000000,444.0,99036.0,99602.0,https://anaconda.org/anaconda/mxnet,2020-02-29 00:58:31.007000,5835.0,,,,,2.0,23541.0,,,,,,,,0.0,,,,,,,,,,,,,\n40,PyFlink,apache/flink,,ml-frameworks,https://github.com/apache/flink,https://github.com/apache/flink,Apache-2.0,2014-06-07 07:00:10.000000,2021-02-25 14:25:06.000000,2021-02-25 10:48:12.000000,8542,499.0,,15600,25808.0,Apache Flink Python API.,1198.0,33,True,2021-01-15 01:51:44.000000,1.12.1,13.0,apache-flink,,,,,262.0,262.0,https://pypi.org/project/apache-flink,2021-01-15 01:51:44.000000,0.0,1526.0,1526.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n41,Bokeh,bokeh/bokeh,,data-viz,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000000,2021-02-25 09:38:46.000000,2021-02-24 21:00:07.000000,3645,624.0,5774.0,14710,,\"Interactive Data Visualization in the browser, from Python.\",548.0,33,True,2020-10-21 02:39:03.000000,2.2.3,90.0,bokeh,conda-forge/bokeh,,,,36695.0,30823.0,https://pypi.org/project/bokeh,2021-02-24 19:44:29.000000,5872.0,601497.0,684603.0,https://anaconda.org/conda-forge/bokeh,2021-01-13 10:22:16.472000,3822904.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n42,luigi,spotify/luigi,,data-pipelines,https://github.com/spotify/luigi,https://github.com/spotify/luigi,Apache-2.0,2012-09-20 15:06:38.000000,2021-02-25 14:34:04.000000,2021-02-23 17:07:44.000000,2207,63.0,840.0,14243,3948.0,\"Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution,..\",551.0,33,True,2020-09-23 11:57:43.000000,3.0.2,72.0,luigi,luigi,,,,2016.0,1340.0,https://pypi.org/project/luigi,2020-09-23 11:57:12.000000,676.0,329681.0,329791.0,https://anaconda.org/anaconda/luigi,2021-02-20 16:21:48.759000,6603.0,,,,,1.0,,stable/luigi,,,,,,,,,,,,,,,,,,,,\n43,pytorch-lightning,PyTorchLightning/pytorch-lightning,,ml-frameworks,https://github.com/PyTorchLightning/pytorch-lightning,https://github.com/PyTorchLightning/pytorch-lightning,Apache-2.0,2019-03-31 00:45:57.000000,2021-02-25 14:00:52.000000,2021-02-25 06:42:23.000000,1412,300.0,2655.0,12110,4443.0,\"The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.\",395.0,33,True,2021-02-24 17:24:53.000000,1.2.1,155.0,pytorch-lightning,conda-forge/pytorch-lightning,,,['pytorch'],2031.0,2017.0,https://pypi.org/project/pytorch-lightning,2021-02-24 17:24:53.000000,14.0,96193.0,101955.0,https://anaconda.org/conda-forge/pytorch-lightning,2021-02-24 18:57:18.692000,46058.0,,,,,2.0,113.0,,,,,,,,,,,,,,,,,,,,,\n44,onnx,onnx/onnx,,model-serialisation,https://github.com/onnx/onnx,https://github.com/onnx/onnx,Apache-2.0,2017-09-07 04:53:45.000000,2021-02-24 23:58:40.000000,2021-02-24 23:37:03.000000,1817,515.0,956.0,9815,1687.0,Open standard for machine learning interoperability.,192.0,33,True,2021-01-30 01:25:24.000000,1.8.1,20.0,onnx,conda-forge/onnx,,,,2892.0,2596.0,https://pypi.org/project/onnx,2021-01-29 23:57:20.000000,296.0,240582.0,245803.0,https://anaconda.org/conda-forge/onnx,2021-02-03 21:06:56.548000,193417.0,,,,,1.0,10509.0,,,,,,,,,,,,,,,,,,,,,\n45,pydeck,visgl/deck.gl,,geospatial-data,https://github.com/visgl/deck.gl,https://github.com/visgl/deck.gl,MIT,2015-12-15 08:38:29.000000,2021-02-25 09:27:29.000000,2021-02-24 04:20:36.000000,1520,85.0,1989.0,8471,3577.0,WebGL2 powered geospatial visualization layers.,155.0,33,True,2021-02-24 04:22:20.393000,8.4.8,457.0,pydeck,conda-forge/pydeck,,,['jupyter'],1995.0,1433.0,https://pypi.org/project/pydeck,2021-02-12 18:57:45.000000,2.0,80990.0,274452.0,https://anaconda.org/conda-forge/pydeck,2021-02-12 20:05:23.366000,16330.0,,,,,1.0,,,,deck.gl,https://www.npmjs.com/package/deck.gl,2021-02-23 07:47:42.235000,560.0,192102.0,,,,,,,,,,,,,,\n46,rq,rq/rq,,data-pipelines,https://github.com/rq/rq,https://github.com/rq/rq,BSD-3-Clause,2011-11-14 10:53:48.000000,2021-02-24 11:33:58.000000,2021-02-24 11:33:58.000000,1192,139.0,683.0,7536,1555.0,Simple job queues for Python.,228.0,33,True,2020-11-29 09:48:18.000000,1.7.0,63.0,rq,conda-forge/rq,,,,10681.0,7357.0,https://pypi.org/project/rq,2020-11-29 09:47:08.000000,3324.0,202935.0,203760.0,https://anaconda.org/conda-forge/rq,2020-11-29 15:11:15.371000,45397.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n47,Fastai,fastai/fastai,,ml-frameworks,https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000000,2021-02-24 10:11:53.000000,2021-02-23 22:07:48.000000,6947,74.0,1320.0,20499,1681.0,The fastai deep learning library.,472.0,32,True,2021-02-22 04:01:24.000000,2.2.7,117.0,fastai,,,,['pytorch'],368.0,,https://pypi.org/project/fastai,2021-02-21 04:12:12.000000,368.0,94789.0,94789.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n48,Ray,ray-project/ray,,distributed-ml,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000000,2021-02-25 15:01:31.000000,2021-02-25 15:01:31.000000,2412,1316.0,4786.0,14969,7360.0,\"An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged..\",442.0,32,True,2021-02-13 01:42:06.000000,ray-1.2.0,44.0,ray,,,,,1819.0,1659.0,https://pypi.org/project/ray,2021-02-13 01:38:33.000000,160.0,137059.0,137059.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n49,jax,google/jax,,ml-frameworks,https://github.com/google/jax,https://github.com/google/jax,Apache-2.0,2018-10-25 21:25:02.000000,2021-02-25 14:29:50.000000,2021-02-25 12:12:36.000000,997,742.0,1452.0,11630,7045.0,\"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.\",261.0,32,True,2021-01-27 04:52:22.000000,0.2.9,88.0,jax,conda-forge/jaxlib,,,,1194.0,1148.0,https://pypi.org/project/jax,2021-01-27 04:52:22.000000,46.0,74527.0,78808.0,https://anaconda.org/conda-forge/jaxlib,2021-02-12 21:37:49.873000,81349.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n50,dlib,davisking/dlib,,ml-frameworks,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000000,2021-02-23 06:25:58.000000,2021-02-20 12:22:58.000000,2876,47.0,1821.0,9914,7918.0,A toolkit for making real world machine learning and data analysis applications in C++.,164.0,32,False,2020-12-04 19:23:04.000000,19.21.1,28.0,dlib,conda-forge/dlib,,,,9857.0,8499.0,https://pypi.org/project/dlib,2020-12-04 19:23:04.000000,1358.0,38138.0,43669.0,https://anaconda.org/conda-forge/dlib,2021-01-14 21:24:20.585000,274195.0,,,,,2.0,24376.0,,,,,,,,,,,,,,,,,,,,,\n51,AllenNLP,allenai/allennlp,,nlp,https://github.com/allenai/allennlp,https://github.com/allenai/allennlp,Apache-2.0,2017-05-15 15:52:41.000000,2021-02-25 06:22:41.000000,2021-02-24 21:00:32.000000,1992,111.0,2173.0,9714,2357.0,\"An open-source NLP research library, built on PyTorch.\",233.0,32,True,2021-02-24 21:20:22.000000,2.1.0,173.0,allennlp,,,,['pytorch'],1689.0,1455.0,https://pypi.org/project/allennlp,2021-02-24 12:03:37.000000,234.0,13465.0,13465.0,,,,,,,,1.0,36.0,,,,,,,,,,,,,,,,,,,,,\n52,mlflow,mlflow/mlflow,,ml-experiments,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000000,2021-02-25 14:44:09.000000,2021-02-25 09:49:41.000000,1898,717.0,1052.0,8475,1912.0,Open source platform for the machine learning lifecycle.,283.0,32,True,2021-02-20 04:51:31.000000,1.14.0,41.0,mlflow,conda-forge/mlflow,,,,154.0,,https://pypi.org/project/mlflow,2021-02-20 01:23:38.000000,154.0,1836939.0,1847236.0,https://anaconda.org/conda-forge/mlflow,2021-02-24 14:09:03.940000,226539.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n53,PyMC3,pymc-devs/pymc3,,probabilistics,https://github.com/pymc-devs/pymc3,https://github.com/pymc-devs/pymc3,Apache-2.0,2009-05-05 09:43:50.000000,2021-02-24 22:15:55.000000,2021-02-24 22:15:55.000000,1346,148.0,2002.0,5586,7669.0,Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano.,308.0,32,True,2021-02-12 18:40:12.000000,3.11.1,32.0,pymc3,conda-forge/pymc3,,,,2379.0,2093.0,https://pypi.org/project/pymc3,2021-02-12 18:40:12.000000,286.0,88986.0,93811.0,https://anaconda.org/conda-forge/pymc3,2021-02-14 13:44:24.828000,250891.0,,,,,1.0,150.0,,,,,,,,,,,,,,,,,,,,,\n54,folium,python-visualization/folium,,geospatial-data,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000000,2021-02-08 13:46:29.000000,2021-01-18 17:35:27.000000,1899,148.0,690.0,5156,1473.0,Python Data. Leaflet.js Maps.,120.0,32,True,2021-01-18 17:29:40.000000,0.12.1,25.0,folium,conda-forge/folium,,,,9625.0,8657.0,https://pypi.org/project/folium,2021-01-18 17:29:40.000000,968.0,148242.0,153830.0,https://anaconda.org/conda-forge/folium,2021-01-06 21:06:10.173000,329715.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n55,Beam,apache/beam,,data-pipelines,https://github.com/apache/beam,https://github.com/apache/beam,Apache-2.0,2016-02-02 08:00:06.000000,2021-02-25 14:55:01.000000,2021-02-25 03:09:52.000000,2877,139.0,,4606,30791.0,\"Unified programming model to define and execute data processing pipelines, including ETL, batch and stream processing.\",1019.0,32,True,2021-02-22 21:19:14.000000,2.28.0,30.0,apache-beam,,,,,186.0,,https://pypi.org/project/apache-beam,2021-01-08 20:08:17.000000,186.0,971587.0,971587.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n56,scikit-image,scikit-image/scikit-image,,image,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,BSD-2-Clause,2011-07-07 22:07:20.000000,2021-02-25 05:40:46.000000,2021-02-23 21:18:53.000000,1754,674.0,1492.0,4209,,Image processing in Python.,482.0,32,True,2021-01-19 08:17:34.000000,0.18.1,35.0,scikit-image,conda-forge/scikit-image,,,,76386.0,61612.0,https://pypi.org/project/scikit-image,2020-12-23 06:36:46.000000,14774.0,1353464.0,1391893.0,https://anaconda.org/conda-forge/scikit-image,2021-01-21 20:53:16.554000,2190500.0,,,,,1.0,,,-4.0,,,,,,,,,,,,,,,,,,,\n57,geopy,geopy/geopy,,geospatial-data,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000000,2021-02-20 06:25:44.000000,2020-12-27 16:15:28.000000,535,25.0,212.0,3225,1004.0,Geocoding library for Python.,117.0,32,True,2020-12-27 13:15:23.000000,2.1.0,57.0,geopy,conda-forge/geopy,,,,24236.0,16992.0,https://pypi.org/project/geopy,2020-12-27 13:12:21.000000,7244.0,2762991.0,2771704.0,https://anaconda.org/conda-forge/geopy,2020-12-27 14:22:55.127000,514098.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n58,tensorflow-hub,tensorflow/hub,,tensorflow-utils,https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42.000000,2021-02-25 14:42:06.000000,2021-02-25 14:42:03.000000,1449,45.0,516.0,2728,841.0,A library for transfer learning by reusing parts of TensorFlow models.,67.0,32,True,2021-01-06 16:20:30.000000,0.11.0,14.0,tensorflow-hub,conda-forge/tensorflow-hub,,,['tensorflow'],5821.0,5507.0,https://pypi.org/project/tensorflow-hub,2021-01-06 16:20:30.000000,314.0,628516.0,630066.0,https://anaconda.org/conda-forge/tensorflow-hub,2020-08-24 16:43:36.561000,49606.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n59,TensorFlow Datasets,tensorflow/datasets,,data-loading,https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000000,2021-02-24 20:45:41.000000,2021-02-24 20:45:32.000000,955,396.0,544.0,2678,3813.0,\"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...\",187.0,32,True,2021-01-07 09:50:58.000000,4.2.0,21.0,tensorflow-datasets,,,,['tensorflow'],3854.0,3752.0,https://pypi.org/project/tensorflow-datasets,2021-01-07 09:50:58.000000,102.0,374480.0,374480.0,,,,,,,,1.0,,,1.0,,,,,,,,,,,,,,,,,,,\n60,Thinc,explosion/thinc,,ml-frameworks,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59.000000,2021-02-23 14:38:58.000000,2021-02-23 12:42:24.000000,197,13.0,88.0,2201,4905.0,\"A refreshing functional take on deep learning, compatible with your favorite libraries.\",36.0,32,True,2021-01-24 04:05:27.000000,8.0.1,188.0,thinc,conda-forge/thinc,,,,12527.0,11389.0,https://pypi.org/project/thinc,2021-01-24 04:05:27.000000,1138.0,729820.0,748467.0,https://anaconda.org/conda-forge/thinc,2021-02-03 12:19:56.063000,895100.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n61,Shapely,Toblerity/Shapely,,geospatial-data,https://github.com/Toblerity/Shapely,https://github.com/Toblerity/Shapely,BSD-3-Clause,2011-12-31 19:43:11.000000,2021-02-18 13:33:11.000000,2021-02-18 13:33:10.000000,386,150.0,575.0,2164,1488.0,Manipulation and analysis of geometric objects.,106.0,32,True,2020-08-20 23:31:01.000000,1.7.1,99.0,shapely,conda-forge/shapely,,,,21955.0,16497.0,https://pypi.org/project/shapely,2020-08-20 23:31:01.000000,5458.0,1529866.0,1562572.0,https://anaconda.org/conda-forge/shapely,2021-02-12 15:19:51.518000,2093221.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n62,xarray,pydata/xarray,,data-containers,https://github.com/pydata/xarray,https://github.com/pydata/xarray,Apache-2.0,2013-09-30 17:21:10.000000,2021-02-25 14:06:48.000000,2021-02-25 08:46:41.000000,626,785.0,1930.0,1944,3543.0,N-D labeled arrays and datasets in Python.,299.0,32,True,2020-11-30 21:28:55.000000,0.16.2,55.0,xarray,conda-forge/xarray,,,,6389.0,5257.0,https://pypi.org/project/xarray,2020-11-30 21:26:20.000000,1132.0,206398.0,248242.0,https://anaconda.org/conda-forge/xarray,2020-12-01 04:59:09.242000,2468802.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n63,python-magic,ahupp/python-magic,,data-loading,https://github.com/ahupp/python-magic,https://github.com/ahupp/python-magic,MIT,2010-03-31 22:40:33.000000,2021-02-18 18:34:43.000000,2021-02-17 04:01:28.000000,217,29.0,131.0,1832,279.0,A python wrapper for libmagic.,49.0,32,True,2021-02-17 06:19:13.000000,0.4.22,22.0,python-magic,conda-forge/python-magic,,,,17340.0,12208.0,https://pypi.org/project/python-magic,2021-02-17 06:19:13.000000,5132.0,1086579.0,1088259.0,https://anaconda.org/conda-forge/python-magic,2020-12-24 22:42:00.639000,77315.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n64,jieba,fxsjy/jieba,,chinese-nlp,https://github.com/fxsjy/jieba,https://github.com/fxsjy/jieba,MIT,2012-09-29 07:52:01.000000,2020-12-05 18:32:32.000000,2020-02-15 08:33:35.000000,6065,592.0,197.0,25574,523.0,Chinese Words Segmentation Utilities.,48.0,31,True,2020-01-20 14:27:23.000000,0.42.1,32.0,jieba,conda-forge/jieba,,,,11852.0,9336.0,https://pypi.org/project/jieba,2020-01-20 14:27:23.000000,2516.0,105815.0,107295.0,https://anaconda.org/conda-forge/jieba,2020-03-25 20:57:40.090000,68104.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n65,DeepSpeech,mozilla/DeepSpeech,,audio,https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53.000000,2021-02-25 14:44:35.000000,2021-02-12 19:35:13.000000,3077,103.0,1845.0,16639,3359.0,\"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..\",157.0,31,True,2020-12-10 17:22:09.000000,0.9.3,100.0,deepspeech,,,,['tensorflow'],464.0,406.0,https://pypi.org/project/deepspeech,2020-12-19 10:05:12.000000,58.0,5826.0,21180.0,,,,,,,,1.0,445287.0,,7.0,,,,,,,,,,,,,,,,,,,\n66,fairseq,pytorch/fairseq,,nlp,https://github.com/pytorch/fairseq,https://github.com/pytorch/fairseq,MIT,2017-08-29 16:26:12.000000,2021-02-25 06:57:06.000000,2021-02-25 06:56:59.000000,2883,659.0,1820.0,11326,1798.0,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,312.0,31,True,2021-01-05 20:26:45.000000,0.10.2,13.0,fairseq,,,,['pytorch'],331.0,311.0,https://pypi.org/project/fairseq,2021-01-05 20:26:45.000000,20.0,8835.0,8838.0,,,,,,,,1.0,102.0,,1.0,,,,,,,,,,,,,,,,,,,\n67,tensor2tensor,tensorflow/tensor2tensor,,tensorflow-utils,https://github.com/tensorflow/tensor2tensor,https://github.com/tensorflow/tensor2tensor,Apache-2.0,2017-06-15 16:57:39.000000,2021-02-10 18:44:43.000000,2021-02-10 18:44:34.000000,2813,553.0,664.0,10974,4346.0,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,231.0,31,True,2020-06-17 16:15:36.000000,1.15.7,79.0,tensor2tensor,,,,['tensorflow'],1077.0,913.0,https://pypi.org/project/tensor2tensor,2020-06-17 16:15:36.000000,164.0,52707.0,52707.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n68,ChatterBot,gunthercox/ChatterBot,,nlp,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00.000000,2021-02-22 16:29:16.000000,2020-08-20 21:16:14.000000,3688,237.0,1227.0,10880,1847.0,\"ChatterBot is a machine learning, conversational dialog engine for creating chat bots.\",103.0,31,True,2020-08-22 18:42:43.000000,1.0.8,86.0,chatterbot,,,,,3875.0,3195.0,https://pypi.org/project/chatterbot,2020-08-22 18:40:36.000000,680.0,21580.0,21580.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n69,imgaug,aleju/imgaug,,image,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33.000000,2020-10-19 12:23:22.000000,2020-06-01 14:58:26.000000,1965,221.0,205.0,10737,2913.0,Image augmentation for machine learning experiments.,36.0,31,True,2020-02-06 06:18:40.000000,0.4.0,11.0,imgaug,conda-forge/imgaug,,,,5945.0,5389.0,https://pypi.org/project/imgaug,2020-02-05 20:54:22.000000,556.0,93887.0,95593.0,https://anaconda.org/conda-forge/imgaug,2020-02-14 16:06:53.525000,34138.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n70,pyecharts,pyecharts/pyecharts,,data-viz,https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000000,2021-02-08 07:14:13.000000,2021-01-19 10:14:13.000000,2359,25.0,1353.0,10600,1512.0,Python Echarts Plotting Library.,30.0,31,True,2020-10-29 15:14:08.000000,1.9.0,66.0,pyecharts,,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,['jupyter'],1777.0,1495.0,https://pypi.org/project/pyecharts,2020-10-29 15:14:08.000000,282.0,12214.0,12214.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n71,wordcloud,amueller/word_cloud,,data-viz,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59.000000,2021-01-21 10:00:39.000000,2020-11-11 21:35:51.000000,2025,97.0,345.0,7894,540.0,A little word cloud generator in Python.,59.0,31,True,2020-11-11 21:41:02.000000,1.8.1,16.0,wordcloud,conda-forge/wordcloud,,,,10187.0,9083.0,https://pypi.org/project/wordcloud,2020-11-11 21:41:02.000000,1104.0,182755.0,186291.0,https://anaconda.org/conda-forge/wordcloud,2021-01-14 18:03:24.960000,190950.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n72,Altair,altair-viz/altair,,data-viz,https://github.com/altair-viz/altair,https://github.com/altair-viz/altair,BSD-3-Clause,2015-09-19 03:14:04.000000,2021-02-24 22:24:08.000000,2021-02-24 21:20:32.000000,580,292.0,1300.0,6439,3063.0,Declarative statistical visualization library for Python.,126.0,31,True,2020-04-01 13:29:16.000000,4.1.0,26.0,altair,conda-forge/altair,,,,8704.0,8334.0,https://pypi.org/project/altair,2020-04-01 13:23:10.000000,370.0,465014.0,476350.0,https://anaconda.org/conda-forge/altair,2020-04-01 16:49:36.519000,623534.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n73,Catboost,catboost/catboost,,ml-frameworks,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000000,2021-02-25 10:05:06.000000,2021-02-25 10:05:01.000000,861,319.0,1058.0,5719,14934.0,\"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..\",740.0,31,True,2020-12-27 09:12:53.000000,0.24.4,91.0,catboost,conda-forge/catboost,,,,162.0,,https://pypi.org/project/catboost,2020-12-27 06:58:33.000000,162.0,594676.0,613664.0,https://anaconda.org/conda-forge/catboost,2020-12-29 11:38:06.128000,586569.0,,,,,2.0,49810.0,,,,,,,,,,,,,,,,,,,,,\n74,Chainer,chainer/chainer,,ml-frameworks,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37.000000,2021-02-17 11:20:21.000000,2021-02-17 11:20:21.000000,1370,18.0,2018.0,5535,30575.0,A flexible framework of neural networks for deep learning.,318.0,31,True,2021-01-13 10:14:54.000000,7.0.0.post1,109.0,chainer,,,,,2654.0,1912.0,https://pypi.org/project/chainer,2021-01-13 09:29:55.000000,742.0,12875.0,12875.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n75,imbalanced-learn,scikit-learn-contrib/imbalanced-learn,,sklearn-utils,https://github.com/scikit-learn-contrib/imbalanced-learn,https://github.com/scikit-learn-contrib/imbalanced-learn,MIT,2014-08-16 05:08:26.000000,2021-02-18 15:40:00.937000,2021-02-18 13:54:47.000000,1065,30.0,420.0,5056,735.0,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,54.0,31,True,2021-02-18 14:00:33.000000,0.8.0,27.0,imbalanced-learn,conda-forge/imbalanced-learn,,,['sklearn'],4484.0,4204.0,https://pypi.org/project/imbalanced-learn,2021-02-18 13:50:00.000000,280.0,545184.0,547955.0,https://anaconda.org/conda-forge/imbalanced-learn,2021-02-18 15:40:00.937000,110863.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n76,CuPy,cupy/cupy,,gpu-utilities,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000000,2021-02-25 13:43:36.000000,2021-02-25 12:35:07.000000,435,366.0,914.0,4847,20803.0,A NumPy-compatible array library accelerated by CUDA.,253.0,31,True,2021-01-28 05:28:01.000000,8.4.0,87.0,cupy,conda-forge/cupy,cupy/cupy,,,860.0,668.0,https://pypi.org/project/cupy,2021-01-28 01:38:53.000000,192.0,19814.0,45386.0,https://anaconda.org/conda-forge/cupy,2021-02-02 18:28:34.210000,391031.0,https://hub.docker.com/r/cupy/cupy,2021-02-23 05:30:11.581259,6.0,48497.0,1.0,8802.0,,,,,,,,,,,,,,,,,,,,,\n77,sentencepiece,google/sentencepiece,,nlp,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000000,2021-02-23 16:34:46.000000,2021-02-23 16:34:46.000000,651,26.0,395.0,4837,665.0,Unsupervised text tokenizer for Neural Network-based text generation.,49.0,31,True,2021-01-10 06:29:42.000000,0.1.95,30.0,sentencepiece,conda-forge/sentencepiece,,,,6263.0,6023.0,https://pypi.org/project/sentencepiece,2021-01-10 06:29:42.000000,240.0,785428.0,790372.0,https://anaconda.org/conda-forge/sentencepiece,2021-02-09 05:49:50.247000,32088.0,,,,,1.0,10808.0,,,,,,,,,,,,,,,,,,,,,\n78,xmltodict,martinblech/xmltodict,,data-loading,https://github.com/martinblech/xmltodict,https://github.com/martinblech/xmltodict,MIT,2012-04-17 14:38:21.000000,2021-02-08 17:46:25.000000,2020-04-26 05:15:03.000000,399,63.0,135.0,4282,205.0,Python module that makes working with XML feel like you are working with JSON.,41.0,31,True,2019-02-11 07:00:26.000000,0.12.0,27.0,xmltodict,conda-forge/xmltodict,,,,29996.0,21762.0,https://pypi.org/project/xmltodict,2019-02-11 07:00:26.000000,8234.0,3136597.0,3149359.0,https://anaconda.org/conda-forge/xmltodict,2019-02-11 11:53:14.803000,689168.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n79,Optuna,optuna/optuna,,hyperopt,https://github.com/optuna/optuna,https://github.com/optuna/optuna,MIT,2018-02-21 06:12:56.000000,2021-02-25 14:57:41.000000,2021-02-25 08:13:36.000000,465,212.0,494.0,4137,9202.0,A hyperparameter optimization framework.,128.0,31,True,2021-02-01 06:18:14.000000,2.5.0,35.0,optuna,conda-forge/optuna,,,,1050.0,998.0,https://pypi.org/project/optuna,2021-02-01 06:18:14.000000,52.0,160776.0,162049.0,https://anaconda.org/conda-forge/optuna,2021-02-02 01:24:13.010000,19097.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n80,Tablib,jazzband/tablib,,data-loading,https://github.com/jazzband/tablib,https://github.com/jazzband/tablib,MIT,2011-03-28 02:36:50.000000,2020-12-13 06:03:08.000000,2020-12-11 07:22:54.000000,560,34.0,197.0,3869,1123.0,\"Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c.\",110.0,31,True,2020-12-05 14:56:28.000000,3.0.0,38.0,tablib,conda-forge/tablib,,,,11823.0,9465.0,https://pypi.org/project/tablib,2020-12-05 14:56:28.000000,2358.0,403827.0,404954.0,https://anaconda.org/conda-forge/tablib,2020-12-05 16:40:48.469000,57523.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n81,tensorflow-probability,tensorflow/probability,,probabilistics,https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000000,2021-02-25 14:36:29.000000,2021-02-25 14:36:26.000000,853,432.0,551.0,3240,10302.0,Probabilistic reasoning and statistical analysis in TensorFlow.,405.0,31,True,2020-12-29 18:40:25.000000,0.12.1,35.0,tensorflow-probability,conda-forge/tensorflow-probability,,,['tensorflow'],253.0,1.0,https://pypi.org/project/tensorflow-probability,2020-12-29 17:46:08.000000,252.0,262708.0,263999.0,https://anaconda.org/conda-forge/tensorflow-probability,2021-02-10 20:08:40.633000,30991.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n82,GeoPandas,geopandas/geopandas,,geospatial-data,https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000000,2021-02-25 14:08:44.000000,2021-02-23 11:59:27.000000,530,294.0,688.0,2477,1342.0,Python tools for geographic data.,131.0,31,True,2021-01-25 20:51:26.000000,0.8.2,36.0,geopandas,conda-forge/geopandas,,,['pandas'],8492.0,7326.0,https://pypi.org/project/geopandas,2021-01-25 20:51:23.000000,1166.0,376214.0,390901.0,https://anaconda.org/conda-forge/geopandas,2021-01-25 21:28:29.004000,865642.0,,,,,2.0,898.0,,,,,,,,,,,,,,,,,,,,,\n83,numexpr,pydata/numexpr,,data-containers,https://github.com/pydata/numexpr,https://github.com/pydata/numexpr,MIT,2013-11-30 22:33:48.000000,2021-02-12 15:43:28.000000,2021-02-12 15:43:28.000000,163,53.0,248.0,1543,679.0,\"Fast numerical array expression evaluator for Python, NumPy, PyTables, pandas, bcolz and more.\",56.0,31,True,2020-12-29 18:58:07.000000,2.7.2,39.0,numexpr,conda-forge/numexpr,,,,5482.0,,https://pypi.org/project/numexpr,2020-12-29 06:35:00.000000,5482.0,451723.0,492756.0,https://anaconda.org/conda-forge/numexpr,2021-01-13 23:35:13.025000,2215790.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n84,TF Addons,tensorflow/addons,,tensorflow-utils,https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17.000000,2021-02-25 13:25:57.000000,2021-02-25 13:25:57.000000,421,172.0,626.0,1211,1341.0,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,151.0,31,True,2021-01-30 13:59:33.000000,0.12.1,25.0,tensorflow-addons,,,,['tensorflow'],2332.0,2314.0,https://pypi.org/project/tensorflow-addons,2021-01-30 13:59:33.000000,18.0,295493.0,295493.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n85,imageio,imageio/imageio,,image,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000000,2021-02-24 18:49:01.000000,2021-02-24 18:49:00.000000,168,68.0,273.0,836,1135.0,Python library for reading and writing image data.,76.0,31,True,2020-07-10 07:45:22.000000,2.9.0,31.0,imageio,conda-forge/imageio,,,,40699.0,36861.0,https://pypi.org/project/imageio,2020-07-06 13:20:41.000000,3838.0,1459112.0,1494342.0,https://anaconda.org/conda-forge/imageio,2020-07-06 14:13:25.518000,1726313.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n86,PaddlePaddle,PaddlePaddle/Paddle,,ml-frameworks,https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000000,2021-02-25 14:26:07.000000,2021-02-25 13:24:28.000000,3566,2373.0,10475.0,14364,15069.0,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,496.0,30,True,2021-02-01 02:31:35.000000,2.0.0,42.0,paddlepaddle,,,,['paddle'],47.0,31.0,https://pypi.org/project/paddlepaddle,2021-01-25 11:50:59.000000,16.0,4417.0,4699.0,,,,,,,,2.0,15250.0,,,,,,,,,,,,,,,,,,,,,\n87,zipline,quantopian/zipline,,financial-data,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29.000000,2021-02-14 16:26:07.000000,2020-10-14 16:36:49.000000,3853,334.0,647.0,13419,6226.0,\"Zipline, a Pythonic Algorithmic Trading Library.\",151.0,30,True,2020-10-05 15:46:20.429000,1.4.1,30.0,zipline,,,,,837.0,679.0,https://pypi.org/project/zipline,2020-10-05 15:46:20.429000,158.0,3128.0,3128.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n88,flair,flairNLP/flair,,nlp,https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,MIT,2018-06-11 11:04:18.000000,2021-02-25 00:34:59.000000,2021-02-21 12:40:13.000000,1505,92.0,1351.0,9987,3070.0,A very simple framework for state-of-the-art Natural Language Processing (NLP).,163.0,30,True,2020-12-01 19:35:00.000000,0.7,19.0,flair,,,,['pytorch'],677.0,629.0,https://pypi.org/project/flair,2020-12-01 19:02:38.000000,48.0,36005.0,36005.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n89,TFlearn,tflearn/tflearn,,ml-frameworks,https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,MIT,2016-03-31 12:05:53.000000,2021-01-25 09:41:59.000000,2020-11-30 04:34:51.000000,2431,565.0,360.0,9523,613.0,Deep learning library featuring a higher-level API for TensorFlow.,128.0,30,True,2020-11-11 19:26:11.000000,0.5.0,8.0,tflearn,,,,['tensorflow'],3998.0,3036.0,https://pypi.org/project/tflearn,2020-11-11 19:13:47.000000,962.0,7456.0,7456.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n90,Annoy,spotify/annoy,,nn-search,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40.000000,2021-01-20 15:53:49.000000,2020-12-03 18:21:18.000000,876,31.0,266.0,8146,785.0,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,68.0,30,True,2020-09-18 16:07:59.000000,1.17.0,43.0,annoy,,,,,1826.0,1466.0,https://pypi.org/project/annoy,2020-09-18 16:07:59.000000,360.0,125753.0,125753.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n91,Vowpal Wabbit,VowpalWabbit/vowpal_wabbit,,ml-frameworks,https://github.com/VowpalWabbit/vowpal_wabbit,https://github.com/VowpalWabbit/vowpal_wabbit,BSD-3-Clause,2009-07-31 19:36:58.000000,2021-02-25 13:59:54.000000,2021-02-24 20:26:14.000000,1710,165.0,866.0,7449,9021.0,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,298.0,30,True,2021-01-27 21:17:28.000000,8.9.1,13.0,vowpalwabbit,,,,,118.0,102.0,https://pypi.org/project/vowpalwabbit,2020-11-12 14:41:09.000000,16.0,10556.0,10556.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n92,DVC,iterative/dvc,,ml-experiments,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000000,2021-02-25 13:54:45.000000,2021-02-25 06:12:27.000000,696,515.0,2208.0,7373,6353.0,Data Version Control | Git for Data & Models.,208.0,30,True,2021-02-15 19:01:24.000000,1.11.16,295.0,dvc,conda-forge/dvc,,,,641.0,595.0,https://pypi.org/project/dvc,2021-02-15 19:01:24.000000,46.0,50131.0,77800.0,https://anaconda.org/conda-forge/dvc,2021-02-15 22:37:56.955000,492431.0,,,,,1.0,19281.0,,,,,,,,,dvc,dvc,dvc,,,,,,,,,,\n93,Prefect,PrefectHQ/prefect,,data-pipelines,https://github.com/PrefectHQ/prefect,https://github.com/PrefectHQ/prefect,Apache-2.0,2018-06-29 21:59:26.000000,2021-02-24 21:10:36.000000,2021-02-24 21:10:36.000000,526,248.0,1343.0,5895,13401.0,The easiest way to automate your data.,184.0,30,True,2021-02-23 23:25:33.000000,0.14.10,87.0,prefect,conda-forge/prefect,,,,267.0,265.0,https://pypi.org/project/prefect,2021-02-23 23:25:33.000000,2.0,26457.0,29604.0,https://anaconda.org/conda-forge/prefect,2021-02-24 01:25:45.534000,72396.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n94,Hyperopt,hyperopt/hyperopt,,hyperopt,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59.000000,2021-02-09 09:39:50.000000,2021-02-09 09:39:50.000000,867,330.0,222.0,5452,1169.0,Distributed Asynchronous Hyperparameter Optimization in Python.,85.0,30,True,2020-10-07 09:52:56.000000,0.2.5,11.0,hyperopt,conda-forge/hyperopt,,,,3212.0,2708.0,https://pypi.org/project/hyperopt,2020-10-07 09:52:56.000000,504.0,317337.0,323273.0,https://anaconda.org/conda-forge/hyperopt,2020-10-14 07:57:14.292000,172155.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n95,SpeechRecognition,Uberi/speech_recognition,,audio,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54.000000,2021-01-11 17:26:33.040000,2019-07-02 17:29:47.000000,1869,207.0,270.0,5438,360.0,\"Speech recognition module for Python, supporting several engines and APIs, online and offline.\",41.0,30,False,2017-12-05 14:05:14.000000,3.8.1,52.0,SpeechRecognition,conda-forge/speechrecognition,,,,8100.0,7012.0,https://pypi.org/project/SpeechRecognition,2017-12-05 13:58:29.000000,1088.0,70903.0,72741.0,https://anaconda.org/conda-forge/speechrecognition,2021-01-11 17:26:33.040000,99264.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n96,Autograd,HIPS/autograd,,others,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23.000000,2020-12-28 18:04:28.000000,2019-11-18 14:32:40.000000,712,161.0,217.0,5146,1375.0,Efficiently computes derivatives of numpy code.,51.0,30,False,2017-08-24 17:00:41.000000,1.1.13,24.0,autograd,conda-forge/autograd,,,,1899.0,1555.0,https://pypi.org/project/autograd,2019-07-25 16:21:07.000000,344.0,440132.0,443044.0,https://anaconda.org/conda-forge/autograd,2019-07-25 18:29:55.493000,157290.0,,,,,1.0,,,1.0,,,,,,,,,,,,,,,,,,,\n97,UMAP,lmcinnes/umap,,data-viz,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17.000000,2021-02-23 17:40:07.000000,2021-02-23 17:40:06.000000,494,222.0,232.0,4524,1363.0,Uniform Manifold Approximation and Projection.,73.0,30,True,2021-02-08 21:04:43.000000,0.5.1,35.0,umap-learn,,,,,2638.0,2412.0,https://pypi.org/project/umap-learn,2021-02-08 21:04:43.000000,226.0,109520.0,109520.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n98,yfinance,ranaroussi/yfinance,,financial-data,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000000,2021-02-23 00:27:25.000000,2021-01-18 14:16:47.000000,1097,347.0,180.0,4386,247.0,Yahoo! Finance market data downloader (+faster Pandas Datareader).,28.0,30,True,2020-10-05 12:19:44.000000,0.1.55,20.0,yfinance,ranaroussi/yfinance,,,,3204.0,3178.0,https://pypi.org/project/yfinance,2020-10-05 12:19:44.000000,26.0,91803.0,93833.0,https://anaconda.org/ranaroussi/yfinance,2019-12-27 21:30:44.606000,36555.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n99,Tesseract,madmaze/pytesseract,,ocr,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000000,2021-02-08 17:13:50.000000,2021-02-08 17:13:45.000000,505,7.0,240.0,3431,360.0,Python-tesseract is an optical character recognition (OCR) tool for python.,36.0,30,True,2020-12-15 05:24:52.000000,0.3.7,24.0,pytesseract,conda-forge/pytesseract,,,,1428.0,,https://pypi.org/project/pytesseract,2020-12-15 05:24:52.000000,1428.0,1009338.0,1011582.0,https://anaconda.org/conda-forge/pytesseract,2020-11-20 10:05:14.874000,42649.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n100,MLxtend,rasbt/mlxtend,,sklearn-utils,https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16.000000,2021-02-23 14:59:27.000000,2021-02-23 14:59:27.000000,694,101.0,275.0,3357,1169.0,A library of extension and helper modules for Python's data analysis and machine learning libraries.,79.0,30,True,2020-11-26 04:18:15.000000,0.18.0,46.0,mlxtend,conda-forge/mlxtend,,,['sklearn'],2771.0,2581.0,https://pypi.org/project/mlxtend,2020-11-26 04:18:15.000000,190.0,110844.0,114423.0,https://anaconda.org/conda-forge/mlxtend,2020-11-26 05:32:00.667000,153902.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n101,bqplot,bqplot/bqplot,,data-viz,https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18.000000,2021-02-25 10:09:19.000000,2021-02-23 12:04:33.000000,407,188.0,326.0,3016,3238.0,Plotting library for IPython/Jupyter notebooks.,51.0,30,True,2021-02-23 12:01:57.098000,0.5.23,91.0,bqplot,conda-forge/bqplot,,,['jupyter'],1373.0,1251.0,https://pypi.org/project/bqplot,2021-02-23 12:03:51.000000,112.0,14191.0,179346.0,https://anaconda.org/conda-forge/bqplot,2021-02-13 19:17:06.334000,501030.0,,,,,2.0,,,,bqplot,https://www.npmjs.com/package/bqplot,2021-02-23 12:01:57.098000,10.0,156365.0,,,,,,,,,,,,,,\n102,wandb client,wandb/client,,ml-experiments,https://github.com/wandb/client,https://github.com/wandb/client,MIT,2017-03-24 05:46:23.000000,2021-02-25 04:34:00.000000,2021-02-24 02:25:57.000000,193,240.0,692.0,2745,3830.0,A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.,74.0,30,True,2021-02-22 23:21:04.000000,0.10.20,190.0,wandb,,,,,2165.0,2087.0,https://pypi.org/project/wandb,2021-02-22 23:17:03.000000,78.0,207767.0,207767.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n103,torchtext,pytorch/text,,nlp,https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000000,2021-02-25 12:36:40.000000,2021-02-25 02:01:18.000000,598,263.0,315.0,2649,769.0,Data loaders and abstractions for text and NLP.,107.0,30,True,2020-12-10 17:03:55.000000,0.8.1,12.0,torchtext,,,,['pytorch'],4513.0,3831.0,https://pypi.org/project/torchtext,2020-12-10 16:28:00.000000,682.0,73017.0,73017.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n104,PyQtGraph,pyqtgraph/pyqtgraph,,data-viz,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21.000000,2021-02-25 08:42:00.000000,2021-02-23 17:40:57.000000,811,264.0,484.0,2315,2546.0,Fast data visualization and GUI tools for scientific / engineering applications.,186.0,30,True,2020-12-20 02:43:22.000000,0.11.1,12.0,pyqtgraph,conda-forge/pyqtgraph,,,,890.0,,https://pypi.org/project/pyqtgraph,2020-12-20 02:43:22.000000,890.0,25445.0,28800.0,https://anaconda.org/conda-forge/pyqtgraph,2020-12-20 05:06:42.442000,164436.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n105,scikit-optimize,scikit-optimize/scikit-optimize,,hyperopt,https://github.com/scikit-optimize/scikit-optimize,https://github.com/scikit-optimize/scikit-optimize,BSD-3-Clause,2016-03-20 21:10:54.000000,2021-02-23 13:40:32.000000,2020-12-31 12:07:52.000000,389,196.0,360.0,2044,1541.0,Sequential model-based optimization with a `scipy.optimize` interface.,68.0,30,True,2020-09-04 09:08:10.000000,0.8.1,22.0,scikit-optimize,conda-forge/scikit-optimize,,,,1554.0,1394.0,https://pypi.org/project/scikit-optimize,2020-09-04 09:08:10.000000,160.0,354602.0,359648.0,https://anaconda.org/conda-forge/scikit-optimize,2020-09-04 09:50:52.372000,217010.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n106,smart-open,RaRe-Technologies/smart_open,,data-loading,https://github.com/RaRe-Technologies/smart_open,https://github.com/RaRe-Technologies/smart_open,MIT,2015-01-02 13:05:52.000000,2021-02-22 12:55:03.000000,2021-02-20 22:23:02.000000,271,52.0,243.0,1947,898.0,\"Utils for streaming large files (S3, HDFS, gzip, bz2...).\",74.0,30,True,2021-02-15 06:45:45.000000,4.2.0,47.0,smart-open,,,,,640.0,,https://pypi.org/project/smart-open,2021-02-15 06:45:45.000000,640.0,5168560.0,5168560.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n107,opencv-python,skvark/opencv-python,,image,https://github.com/opencv/opencv-python,https://github.com/opencv/opencv-python,MIT,2016-04-08 13:36:40.000000,2021-01-03 17:07:49.000000,2020-12-28 18:40:12.000000,326,14.0,380.0,1772,749.0,\"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..\",27.0,30,True,2021-01-03 17:36:16.000000,47,48.0,opencv-python,,,,,12560.0,,https://pypi.org/project/opencv-python,2021-01-03 17:07:49.000000,12560.0,1536381.0,1536381.0,,,,,,,,2.0,,,,,,,,,,,,,opencv/opencv-python,,,,,,,,,\n108,Rasterio,mapbox/rasterio,,geospatial-data,https://github.com/mapbox/rasterio,https://github.com/mapbox/rasterio,BSD-3-Clause,2013-11-04 16:36:27.000000,2021-02-25 00:40:30.000000,2021-02-18 19:29:47.000000,390,137.0,1211.0,1438,3271.0,Rasterio reads and writes geospatial raster datasets.,107.0,30,True,2021-01-25 14:37:50.000000,1.2.0,121.0,rasterio,conda-forge/rasterio,,,,3623.0,2773.0,https://pypi.org/project/rasterio,2021-01-25 14:37:50.000000,850.0,153302.0,168513.0,https://anaconda.org/conda-forge/rasterio,2021-01-25 20:18:49.736000,896868.0,,,,,2.0,703.0,,,,,,,,,,,,,,,,,,,,,\n109,Geocoder,DenisCarriere/geocoder,,geospatial-data,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21.000000,2020-12-30 04:09:42.000000,2018-10-12 15:53:05.000000,260,90.0,216.0,1325,1251.0,Python Geocoder.,74.0,30,False,2018-04-04 12:34:51.000000,1.38.1,108.0,geocoder,conda-forge/geocoder,,,,3941.0,3097.0,https://pypi.org/project/geocoder,2018-04-04 12:34:51.000000,844.0,220865.0,222690.0,https://anaconda.org/conda-forge/geocoder,2019-06-27 16:40:50.469000,87636.0,,,,,2.0,,,,,,,,,,,,,,geocoder,,,,,,,,\n110,SageMaker SDK,aws/sagemaker-python-sdk,,ml-experiments,https://github.com/aws/sagemaker-python-sdk,https://github.com/aws/sagemaker-python-sdk,Apache-2.0,2017-11-14 01:03:33.000000,2021-02-25 05:15:24.000000,2021-02-25 05:15:02.000000,579,236.0,522.0,1321,1876.0,A library for training and deploying machine learning models on Amazon SageMaker.,168.0,30,True,2021-02-25 03:53:31.000000,2.25.2,312.0,sagemaker,,,,\"['mxnet', 'tensorflow']\",624.0,596.0,https://pypi.org/project/sagemaker,2021-02-25 03:53:31.000000,28.0,318646.0,318646.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n111,Wand,emcconville/wand,,image,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000000,2021-02-25 02:35:07.000000,2021-02-25 02:35:00.000000,183,13.0,324.0,1063,1695.0,The ctypes-based simple ImageMagick binding for Python.,95.0,30,True,2020-11-29 20:47:13.000000,0.6.5,47.0,wand,,,,,4538.0,3368.0,https://pypi.org/project/wand,2020-11-29 20:40:49.000000,1170.0,105690.0,105883.0,,,,,,,,2.0,5212.0,,,,,,,,,,,,,,,,,,,,,\n112,Fiona,Toblerity/Fiona,,geospatial-data,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00.000000,2021-02-18 21:47:48.000000,2020-11-30 07:11:40.000000,165,69.0,548.0,781,1093.0,Fiona reads and writes geographic data files.,65.0,30,True,2020-11-17 18:32:17.000000,1.8.18,96.0,fiona,conda-forge/fiona,,,,6285.0,5097.0,https://pypi.org/project/fiona,2020-11-17 18:32:17.000000,1188.0,452866.0,482218.0,https://anaconda.org/conda-forge/fiona,2020-11-17 20:48:12.542000,1731796.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n113,snowballstemmer,snowballstem/snowball,,nlp,https://github.com/snowballstem/snowball,https://github.com/snowballstem/snowball,BSD-3-Clause,2013-02-23 07:17:42.000000,2021-02-03 06:20:01.000000,2021-02-02 19:23:41.000000,133,17.0,42.0,474,846.0,Snowball compiler and stemming algorithms.,25.0,30,True,2021-01-21 11:43:00.000000,2.1.0,9.0,snowballstemmer,conda-forge/snowballstemmer,,,,57747.0,44565.0,https://pypi.org/project/snowballstemmer,2021-01-21 11:43:00.000000,13182.0,2110039.0,2149659.0,https://anaconda.org/conda-forge/snowballstemmer,2021-01-21 23:16:54.597000,2139509.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n114,Face Recognition,ageitgey/face_recognition,,image,https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39.000000,2021-02-14 15:50:55.000000,2020-09-26 15:32:59.000000,10689,573.0,529.0,38678,211.0,The world's simplest facial recognition api for Python and the command line.,45.0,29,True,2018-08-21 18:34:21.000000,1.2.3,21.0,face_recognition,,,,['pytorch'],406.0,,https://pypi.org/project/face_recognition,2018-08-21 18:34:21.000000,406.0,17708.0,17717.0,,,,,,,,2.0,439.0,,,,,,,,,,,,,,,,,,,,,\n115,Magenta,magenta/magenta,,audio,https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40.000000,2021-02-18 16:24:31.000000,2021-02-18 16:24:23.000000,3331,297.0,540.0,16328,1381.0,Magenta: Music and Art Generation with Machine Intelligence.,147.0,29,True,2020-11-12 19:17:18.000000,2.1.3,66.0,magenta,,,,['tensorflow'],343.0,273.0,https://pypi.org/project/magenta,2020-11-12 19:17:18.000000,70.0,3410.0,3410.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n116,Faiss,facebookresearch/faiss,,nn-search,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000000,2021-02-25 14:04:11.000000,2021-02-25 12:46:10.000000,2092,98.0,1285.0,12561,468.0,A library for efficient similarity search and clustering of dense vectors.,78.0,29,True,2021-02-13 14:11:25.000000,1.7.0,44.0,pymilvus,conda-forge/faiss,,,,320.0,314.0,https://pypi.org/project/pymilvus,2021-01-21 05:32:04.000000,6.0,4420.0,8215.0,https://anaconda.org/conda-forge/faiss,2021-02-19 22:20:22.561000,34161.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n117,Prophet,facebook/prophet,,time-series-data,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000000,2021-02-19 15:27:10.000000,2021-01-27 01:56:06.000000,3505,100.0,1439.0,12290,615.0,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,126.0,29,True,2020-09-05 16:12:50.000000,0.7.1,14.0,fbprophet,,,,,150.0,,https://pypi.org/project/fbprophet,2020-09-05 16:12:50.000000,150.0,434203.0,434214.0,,,,,,,,1.0,550.0,,,,,,,,,,,,,,,,,,,,,\n118,horovod,horovod/horovod,,distributed-ml,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000000,2021-02-25 13:44:29.000000,2021-02-23 14:52:14.000000,1751,258.0,1445.0,10874,880.0,\"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.\",113.0,29,True,2021-02-09 01:22:11.000000,0.21.2,64.0,horovod,,,,,367.0,327.0,https://pypi.org/project/horovod,2021-02-15 20:51:41.000000,40.0,46761.0,46761.0,,,,,,,,2.0,,stable/horovod,,,,,,,,,,,,,,,,,,,,\n119,Turi Create,apple/turicreate,,ml-frameworks,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04.000000,2021-02-02 21:52:08.000000,2021-02-02 21:52:07.000000,1091,476.0,1254.0,10149,1566.0,Turi Create simplifies the development of custom machine learning models.,81.0,29,True,2020-09-30 22:51:40.000000,6.4.1,31.0,turicreate,,,,,259.0,225.0,https://pypi.org/project/turicreate,2020-09-30 22:51:40.000000,34.0,10844.0,10939.0,,,,,,,,2.0,3642.0,,,,,,,,,,,,,,,,,,,,,\n120,Lime,marcotcr/lime,,interpretability,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10.000000,2021-02-04 08:58:12.000000,2021-01-12 16:12:17.000000,1372,54.0,442.0,8473,508.0,Lime: Explaining the predictions of any machine learning classifier.,57.0,29,True,2020-04-03 22:05:03.000000,0.2.0.0,38.0,lime,conda-forge/lime,,,,1204.0,1076.0,https://pypi.org/project/lime,2020-06-26 21:38:15.000000,128.0,101883.0,103180.0,https://anaconda.org/conda-forge/lime,2020-06-28 01:02:41.538000,64872.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n121,fuzzywuzzy,seatgeek/fuzzywuzzy,,nlp,https://github.com/seatgeek/fuzzywuzzy,https://github.com/seatgeek/fuzzywuzzy,GPL-2.0,2011-07-08 19:32:34.000000,2021-02-21 17:07:39.000000,2021-02-20 06:36:20.000000,797,84.0,97.0,7867,381.0,Fuzzy String Matching in Python.,68.0,29,False,2020-02-13 22:14:12.000000,0.18.0,27.0,fuzzywuzzy,conda-forge/fuzzywuzzy,,,,11174.0,7968.0,https://pypi.org/project/fuzzywuzzy,2020-02-13 21:06:25.000000,3206.0,2727410.0,2732545.0,https://anaconda.org/conda-forge/fuzzywuzzy,2020-11-18 12:59:01.409000,282475.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n122,TPOT,EpistasisLab/tpot,,hyperopt,https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40.000000,2021-02-23 22:57:53.000000,2021-01-06 15:17:46.000000,1374,196.0,587.0,7845,2368.0,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,108.0,29,False,2021-01-06 15:20:08.000000,0.11.7,60.0,tpot,conda-forge/tpot,,,['sklearn'],907.0,827.0,https://pypi.org/project/tpot,2021-01-06 15:20:08.000000,80.0,13477.0,15494.0,https://anaconda.org/conda-forge/tpot,2020-12-14 22:49:13.925000,106943.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n123,TextBlob,sloria/TextBlob,,nlp,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18.000000,2021-02-18 02:25:12.000000,2021-02-18 02:24:57.000000,992,83.0,150.0,7553,535.0,\"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..\",34.0,29,True,2019-02-24 23:03:17.000000,0.15.3,55.0,textblob,conda-forge/textblob,,,,12964.0,10472.0,https://pypi.org/project/textblob,2019-02-24 23:03:17.000000,2492.0,223794.0,225878.0,https://anaconda.org/conda-forge/textblob,2019-02-24 23:32:55.233000,112571.0,,,,,2.0,88.0,,,,,,,,,,,,,,,,,,,,,\n124,MoviePy,Zulko/moviepy,,image,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000000,2021-02-22 19:41:09.000000,2021-02-22 19:41:09.000000,1021,337.0,706.0,7308,1012.0,Video editing with Python.,137.0,29,True,2020-05-07 16:29:35.000000,1.0.3,84.0,moviepy,conda-forge/moviepy,,,,7347.0,6217.0,https://pypi.org/project/moviepy,2020-10-05 00:26:29.000000,1130.0,107462.0,109203.0,https://anaconda.org/conda-forge/moviepy,2020-02-23 19:57:49.975000,74894.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n125,glfw,glfw/glfw,,image,https://github.com/glfw/glfw,https://github.com/glfw/glfw,Zlib,2013-04-18 15:24:53.000000,2021-02-24 19:54:07.000000,2021-02-17 20:22:50.000000,2679,422.0,997.0,7304,4219.0,\"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.\",168.0,29,False,2021-02-23 19:56:32.000000,3.3.3,37.0,glfw,conda-forge/glfw,,,,214.0,,https://pypi.org/project/glfw,2020-10-04 13:37:52.000000,214.0,18324.0,50598.0,https://anaconda.org/conda-forge/glfw,2021-02-23 05:25:54.391000,24826.0,,,,,2.0,2218098.0,,,,,,,,,,,,,,,,,,,,,\n126,Datasets,huggingface/datasets,,data-loading,https://github.com/huggingface/datasets,https://github.com/huggingface/datasets,Apache-2.0,2020-03-26 09:23:22.000000,2021-02-25 15:10:13.000000,2021-02-25 14:10:18.000000,745,234.0,351.0,6852,1378.0,\"The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools.\",228.0,29,True,2021-02-15 16:54:50.000000,1.3.0,14.0,datasets,,,,,397.0,379.0,https://pypi.org/project/datasets,2021-02-15 16:09:43.000000,18.0,23875.0,23875.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n127,pandas-profiling,pandas-profiling/pandas-profiling,,data-viz,https://github.com/pandas-profiling/pandas-profiling,https://github.com/pandas-profiling/pandas-profiling,MIT,2016-01-09 23:47:55.000000,2021-02-23 02:01:33.000000,2021-02-21 16:21:13.000000,1033,72.0,369.0,6843,775.0,Create HTML profiling reports from pandas DataFrame objects.,69.0,29,True,2021-02-20 14:18:35.000000,2.11.0,27.0,pandas-profiling,conda-forge/pandas-profiling,,,\"['jupyter', 'pandas']\",3327.0,3167.0,https://pypi.org/project/pandas-profiling,2021-02-07 23:45:05.000000,160.0,145371.0,147328.0,https://anaconda.org/conda-forge/pandas-profiling,2021-02-20 16:48:07.057000,105685.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n128,Pydub,jiaaro/pydub,,audio,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38.000000,2021-01-30 07:53:48.000000,2021-01-18 04:33:23.000000,692,177.0,237.0,5135,726.0,Manipulate audio with a simple and easy high level interface.,80.0,29,True,2020-06-03 15:23:56.000000,0.24.1,66.0,pydub,conda-forge/pydub,,,,7488.0,6134.0,https://pypi.org/project/pydub,2020-06-03 15:23:56.000000,1354.0,165461.0,165959.0,https://anaconda.org/conda-forge/pydub,2019-02-02 16:23:09.348000,12949.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n129,TinyDB,msiemens/tinydb,,data-containers,https://github.com/msiemens/tinydb,https://github.com/msiemens/tinydb,MIT,2013-07-12 23:31:13.000000,2021-02-15 07:37:50.000000,2021-02-15 07:37:45.000000,367,8.0,242.0,4057,608.0,TinyDB is a lightweight document oriented database optimized for your happiness :).,62.0,29,True,2021-02-11 19:31:26.000000,4.4.0,59.0,tinydb,conda-forge/tinydb,,,,1118.0,,https://pypi.org/project/tinydb,2021-02-11 19:31:24.000000,1118.0,124694.0,126557.0,https://anaconda.org/conda-forge/tinydb,2021-02-11 21:20:33.462000,104347.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n130,kaggle,Kaggle/kaggle-api,,ml-experiments,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000000,2021-02-04 16:58:12.000000,2020-11-30 21:43:14.000000,780,166.0,112.0,3877,137.0,Official Kaggle API.,35.0,29,True,2020-11-30 13:37:18.000000,1.5.10,47.0,kaggle,conda-forge/kaggle,,,,5180.0,4616.0,https://pypi.org/project/kaggle,2020-11-30 13:37:18.000000,564.0,68566.0,70666.0,https://anaconda.org/conda-forge/kaggle,2021-01-21 01:19:19.873000,44113.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n131,sacred,IDSIA/sacred,,ml-experiments,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29.000000,2021-02-25 06:50:58.000000,2021-02-25 06:50:58.000000,314,92.0,400.0,3325,1303.0,\"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.\",92.0,29,True,2020-12-14 15:21:05.000000,0.8.2,27.0,sacred,,,,,975.0,821.0,https://pypi.org/project/sacred,2020-12-14 15:21:05.000000,154.0,8827.0,8827.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n132,Koalas,databricks/koalas,,data-containers,https://github.com/databricks/koalas,https://github.com/databricks/koalas,Apache-2.0,2019-01-03 21:46:54.000000,2021-02-25 01:56:29.000000,2021-02-23 01:27:51.000000,298,92.0,431.0,2667,1471.0,Koalas: pandas API on Apache Spark.,47.0,29,True,2021-01-22 09:42:01.000000,1.6.0,43.0,koalas,conda-forge/koalas,,,\"['spark', 'pandas']\",78.0,76.0,https://pypi.org/project/koalas,2021-01-22 09:42:01.000000,2.0,511931.0,515680.0,https://anaconda.org/conda-forge/koalas,2021-01-22 12:57:15.187000,77833.0,,,,,2.0,996.0,,,,,,,,,,,,,,,,,,,,,\n133,dbt,fishtown-analytics/dbt,,data-pipelines,https://github.com/fishtown-analytics/dbt,https://github.com/fishtown-analytics/dbt,Apache-2.0,2016-03-10 02:38:00.000000,2021-02-24 17:03:28.000000,2021-02-22 17:47:35.000000,503,311.0,1466.0,2591,2481.0,dbt (data build tool) enables data analysts and engineers to transform their data using the same practices that..,136.0,29,True,2021-01-27 18:24:45.000000,0.19.0,144.0,dbt,conda-forge/dbt,,,,216.0,198.0,https://pypi.org/project/dbt,2021-02-12 16:11:05.000000,18.0,107326.0,110322.0,https://anaconda.org/conda-forge/dbt,2020-05-14 13:55:32.153000,152817.0,,,,,2.0,,,,,,,,,,dbt,,,,,,,,,,,,\n134,mrjob,Yelp/mrjob,,data-pipelines,https://github.com/Yelp/mrjob,https://github.com/Yelp/mrjob,Apache-2.0,2010-10-13 18:35:21.000000,2020-12-24 22:44:29.424000,2020-11-16 22:20:52.000000,590,200.0,1089.0,2528,8622.0,Run MapReduce jobs on Hadoop or Amazon Web Services.,142.0,29,True,2020-09-17 22:26:01.000000,0.7.4,60.0,mrjob,conda-forge/mrjob,,,,791.0,679.0,https://pypi.org/project/mrjob,2020-09-17 22:26:01.000000,112.0,51930.0,58023.0,https://anaconda.org/conda-forge/mrjob,2020-12-24 22:44:29.424000,322937.0,,,,,2.0,,,-1.0,,,,,,,,,,,,,,,,,,,\n135,hmmlearn,hmmlearn/hmmlearn,,probabilistics,https://github.com/hmmlearn/hmmlearn,https://github.com/hmmlearn/hmmlearn,BSD-3-Clause,2014-03-23 10:33:09.000000,2021-02-05 09:47:49.000000,2021-02-05 09:47:44.000000,631,67.0,278.0,2187,355.0,\"Hidden Markov Models in Python, with scikit-learn like API.\",32.0,29,True,2021-02-03 14:33:20.000000,0.2.5,7.0,hmmlearn,conda-forge/hmmlearn,,,['sklearn'],1091.0,885.0,https://pypi.org/project/hmmlearn,2021-02-03 14:32:44.000000,206.0,101047.0,103443.0,https://anaconda.org/conda-forge/hmmlearn,2021-02-04 16:23:17.046000,64705.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n136,AzureML SDK,Azure/MachineLearningNotebooks,,ml-experiments,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000000,2021-02-24 01:27:27.000000,2021-02-24 01:27:27.000000,1558,120.0,854.0,2157,1105.0,Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft.,53.0,29,True,2021-02-10 03:17:46.000000,1.22.0,69.0,azureml-sdk,,,,,60.0,,https://pypi.org/project/azureml-sdk,2021-02-22 18:06:59.000000,60.0,224957.0,224971.0,,,,,,,,2.0,400.0,,,,,,,,,,,,,,,,,,,,,\n137,pandas-datareader,pydata/pandas-datareader,,data-loading,https://github.com/pydata/pandas-datareader,https://github.com/pydata/pandas-datareader,BSD-3-Clause,2015-01-15 00:34:19.000000,2021-02-24 09:03:22.000000,2020-12-31 11:58:23.000000,513,81.0,370.0,1894,764.0,Extract data from a wide range of Internet sources into a pandas DataFrame.,77.0,29,True,2020-07-10 10:04:14.000000,0.9.0,21.0,pandas-datareader,conda-forge/pandas-datareader,,,['pandas'],9379.0,7973.0,https://pypi.org/project/pandas-datareader,2020-07-10 10:04:14.000000,1406.0,90310.0,92404.0,https://anaconda.org/conda-forge/pandas-datareader,2019-11-20 10:38:42.074000,96355.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n138,hdbscan,scikit-learn-contrib/hdbscan,,others,https://github.com/scikit-learn-contrib/hdbscan,https://github.com/scikit-learn-contrib/hdbscan,BSD-3-Clause,2015-04-22 13:32:37.000000,2021-02-14 03:07:15.749000,2021-02-11 20:27:38.000000,339,225.0,145.0,1819,874.0,A high performance implementation of HDBSCAN clustering.,67.0,29,True,2021-02-03 20:21:02.000000,0.8.27,43.0,hdbscan,conda-forge/hdbscan,,,['sklearn'],868.0,744.0,https://pypi.org/project/hdbscan,2021-02-03 20:21:02.000000,124.0,71591.0,81676.0,https://anaconda.org/conda-forge/hdbscan,2021-02-14 03:07:15.749000,554724.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n139,HoloViews,holoviz/holoviews,,data-viz,https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000000,2021-02-24 07:57:35.000000,2021-02-23 19:23:25.000000,305,697.0,1829.0,1815,10143.0,\"With Holoviews, your data visualizes itself.\",101.0,29,True,2021-01-27 18:07:05.000000,1.14.1,64.0,holoviews,conda-forge/holoviews,,,['jupyter'],170.0,,https://pypi.org/project/holoviews,2021-02-17 16:42:37.000000,170.0,48977.0,63732.0,https://anaconda.org/conda-forge/holoviews,2021-02-22 17:36:06.968000,429041.0,,,,,2.0,,,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,2020-05-24 13:49:54.205000,,7228.0,,,,,,,,,,,,,,\n140,Lifelines,CamDavidsonPilon/lifelines,,medical-data,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42.000000,2021-02-19 15:02:48.000000,2021-02-11 14:14:49.000000,414,189.0,594.0,1572,2089.0,Survival analysis in Python.,92.0,29,True,2021-02-05 04:36:18.000000,0.25.9,154.0,lifelines,conda-forge/lifelines,,,,634.0,508.0,https://pypi.org/project/lifelines,2021-02-05 04:36:18.000000,126.0,93025.0,95307.0,https://anaconda.org/conda-forge/lifelines,2021-02-08 01:10:52.003000,127840.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n141,Graphviz,xflr6/graphviz,,data-viz,https://github.com/xflr6/graphviz,https://github.com/xflr6/graphviz,MIT,2014-01-12 17:49:29.000000,2021-02-15 10:32:28.000000,2021-02-15 10:23:23.000000,142,9.0,96.0,923,451.0,Simple Python interface for Graphviz.,15.0,29,True,2020-10-07 09:06:41.000000,0.14.2,47.0,graphviz,,,,,22247.0,17865.0,https://pypi.org/project/graphviz,2020-12-24 16:17:24.000000,4382.0,1862516.0,1862516.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n142,snakemake,snakemake/snakemake,,ml-experiments,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867000,2021-02-25 14:32:53.000000,2021-02-24 08:38:08.000000,192,341.0,211.0,866,3969.0,\"This is the development home of the workflow management system Snakemake. For general information, see.\",197.0,29,True,2021-02-11 15:37:02.000000,5.32.2,161.0,snakemake,bioconda/snakemake,,,,1035.0,747.0,https://pypi.org/project/snakemake,2021-02-11 15:37:02.000000,288.0,7104.0,11444.0,https://anaconda.org/bioconda/snakemake,2021-02-15 16:22:25.980000,277789.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n143,TensorFlow Transform,tensorflow/transform,,tensorflow-utils,https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53.000000,2021-02-23 21:27:53.000000,2021-02-23 21:20:55.000000,168,34.0,117.0,858,600.0,Input pipeline framework.,27.0,29,True,2021-02-23 21:27:53.000000,0.28.0,34.0,tensorflow-transform,,,,['tensorflow'],500.0,416.0,https://pypi.org/project/tensorflow-transform,2021-01-27 23:34:27.000000,84.0,4316995.0,4316995.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n144,Nilearn,nilearn/nilearn,,medical-data,https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000000,2021-02-25 11:39:23.000000,2021-02-25 08:37:11.000000,378,378.0,1156.0,704,9308.0,Machine learning for NeuroImaging in Python.,162.0,29,True,2020-11-12 11:44:49.000000,0.7.0,35.0,nilearn,conda-forge/nilearn,,,['sklearn'],1199.0,897.0,https://pypi.org/project/nilearn,2020-11-12 11:44:49.000000,302.0,6572.0,8012.0,https://anaconda.org/conda-forge/nilearn,2020-11-12 13:26:03.600000,82106.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n145,Bottleneck,pydata/bottleneck,,data-containers,https://github.com/pydata/bottleneck,https://github.com/pydata/bottleneck,BSD-2-Clause,2010-11-27 23:21:22.000000,2021-01-24 18:54:13.000000,2021-01-24 18:39:03.000000,65,26.0,177.0,577,1241.0,Fast NumPy array functions written in C.,21.0,29,True,2020-02-21 06:22:16.000000,1.3.2,21.0,Bottleneck,conda-forge/bottleneck,,,,22130.0,19238.0,https://pypi.org/project/Bottleneck,2020-02-21 06:22:16.000000,2892.0,143623.0,168656.0,https://anaconda.org/conda-forge/bottleneck,2021-01-21 02:48:32.623000,1426889.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n146,pyproj,pyproj4/pyproj,,geospatial-data,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000000,2021-02-21 02:26:50.000000,2021-02-21 02:25:08.000000,148,5.0,381.0,575,1105.0,Python interface to PROJ (cartographic projections and coordinate transformations library).,39.0,29,True,2020-11-05 13:39:29.000000,3.0.0.post1,34.0,pyproj,conda-forge/pyproj,,,,11118.0,8656.0,https://pypi.org/project/pyproj,2020-11-05 14:28:45.000000,2462.0,933761.0,965414.0,https://anaconda.org/conda-forge/pyproj,2020-11-06 22:55:31.654000,1962513.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n147,NIPYPE,nipy/nipype,,medical-data,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000000,2021-02-21 10:23:47.000000,2020-12-08 17:16:40.000000,439,312.0,874.0,554,14049.0,Workflows and interfaces for neuroimaging packages.,212.0,29,True,2020-11-28 17:23:30.000000,1.6.0,54.0,nipype,conda-forge/nipype,,,,715.0,523.0,https://pypi.org/project/nipype,2020-11-28 17:23:30.000000,192.0,7514.0,14091.0,https://anaconda.org/conda-forge/nipype,2020-11-28 17:44:51.813000,361759.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n148,NiBabel,nipy/nibabel,,medical-data,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30.000000,2021-02-25 11:59:30.000000,2021-02-01 16:18:24.000000,214,112.0,286.0,391,4947.0,Python package to access a cacophony of neuro-imaging file formats.,89.0,29,True,2020-11-28 22:19:50.000000,3.2.1,32.0,nibabel,conda-forge/nibabel,,,,5000.0,3736.0,https://pypi.org/project/nibabel,2020-11-28 22:18:23.000000,1264.0,35531.0,40884.0,https://anaconda.org/conda-forge/nibabel,2020-11-29 03:40:05.178000,305123.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n149,baselines,openai/baselines,,reinforcement-learning,https://github.com/openai/baselines,https://github.com/openai/baselines,MIT,2017-05-24 01:58:13.000000,2021-02-21 12:16:56.000000,2020-01-31 13:06:18.000000,3893,454.0,425.0,11186,347.0,OpenAI Baselines: high-quality implementations of reinforcement learning algorithms.,114.0,28,False,2018-02-26 17:07:07.000000,0.1.5,6.0,baselines,,,,,362.0,288.0,https://pypi.org/project/baselines,2018-02-26 17:07:07.000000,74.0,18183.0,18183.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n150,Rasa,RasaHQ/rasa,,nlp,https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49.000000,2021-02-25 14:03:53.000000,2021-02-24 11:58:54.000000,3309,545.0,4511.0,10838,,\"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..\",462.0,28,True,2021-02-22 21:23:41.000000,2.3.2,186.0,rasa,,,,['tensorflow'],64.0,,https://pypi.org/project/rasa,2021-02-17 15:22:31.000000,64.0,63246.0,63246.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n151,PyTorch Geometric,rusty1s/pytorch_geometric,,graph,https://github.com/rusty1s/pytorch_geometric,https://github.com/rusty1s/pytorch_geometric,MIT,2017-10-06 16:03:03.000000,2021-02-25 14:50:20.000000,2021-02-24 10:05:48.000000,1760,721.0,1132.0,10290,4154.0,Geometric Deep Learning Extension Library for PyTorch.,148.0,28,True,2020-12-02 14:57:09.000000,1.6.3,25.0,torch-geometric,,,,['pytorch'],24.0,,https://pypi.org/project/torch-geometric,2020-11-27 07:18:41.000000,24.0,11294.0,11294.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n152,Sonnet,deepmind/sonnet,,ml-frameworks,https://github.com/deepmind/sonnet,https://github.com/deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35.000000,2021-02-10 05:16:05.000000,2021-02-10 05:15:36.000000,1260,19.0,137.0,8774,545.0,TensorFlow-based neural network library.,49.0,28,True,2020-03-27 10:36:19.000000,2.0.0,27.0,dm-sonnet,conda-forge/sonnet,,,['tensorflow'],597.0,515.0,https://pypi.org/project/dm-sonnet,2020-03-27 10:36:10.000000,82.0,13601.0,14109.0,https://anaconda.org/conda-forge/sonnet,2020-11-14 18:13:23.843000,7630.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n153,Albumentations,albumentations-team/albumentations,,image,https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000000,2021-02-24 06:53:55.000000,2021-02-24 04:56:22.000000,949,183.0,241.0,7367,622.0,Fast image augmentation library and easy to use wrapper around other libraries. Documentation:..,74.0,28,True,2020-11-29 14:30:07.000000,0.5.2,44.0,albumentations,conda-forge/albumentations,,,['pytorch'],2951.0,2823.0,https://pypi.org/project/albumentations,2020-11-29 14:30:07.000000,128.0,49198.0,49958.0,https://anaconda.org/conda-forge/albumentations,2020-11-29 15:51:47.610000,15203.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n154,Pyro,pyro-ppl/pyro,,probabilistics,https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000000,2021-02-25 13:18:20.000000,2021-02-23 14:54:42.000000,823,142.0,684.0,6745,2139.0,Deep universal probabilistic programming with Python and PyTorch.,104.0,28,True,2021-02-01 23:22:45.000000,1.5.2,25.0,pyro-ppl,,,,['pytorch'],436.0,400.0,https://pypi.org/project/pyro-ppl,2021-02-01 23:20:19.000000,36.0,14817.0,14817.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n155,tensorpack,tensorpack/tensorpack,,ml-frameworks,https://github.com/tensorpack/tensorpack,https://github.com/tensorpack/tensorpack,Apache-2.0,2015-12-25 23:08:44.000000,2021-02-17 23:53:44.000000,2021-02-17 23:48:51.000000,1772,8.0,1309.0,5933,2929.0,\"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.\",55.0,28,True,2020-04-24 19:01:06.000000,0.10.1,37.0,tensorpack,,,,['tensorflow'],768.0,692.0,https://pypi.org/project/tensorpack,2021-01-22 08:44:03.000000,76.0,8128.0,8130.0,,,,,,,,3.0,115.0,,,,,,,,,,,,,,,,,,,,,\n156,Modin,modin-project/modin,,data-containers,https://github.com/modin-project/modin,https://github.com/modin-project/modin,Apache-2.0,2018-06-21 21:35:05.000000,2021-02-25 14:31:25.000000,2021-02-25 10:29:37.000000,388,426.0,1122.0,5739,1282.0,Modin: Speed up your Pandas workflows by changing a single line of code.,69.0,28,True,2021-01-12 14:40:18.000000,0.8.3,36.0,modin,,,,['pandas'],319.0,301.0,https://pypi.org/project/modin,2021-01-12 14:40:18.000000,18.0,43609.0,49908.0,,,,,,,,2.0,195269.0,,,,,,,,,,,,,,,,,,,,,\n157,faust,robinhood/faust,,data-pipelines,https://github.com/robinhood/faust,https://github.com/robinhood/faust,BSD-3-Clause,2017-03-08 18:36:11.000000,2021-01-21 01:53:26.000000,2020-10-09 12:59:42.000000,435,233.0,222.0,5333,4137.0,Python Stream Processing.,91.0,28,True,2020-02-25 22:57:18.000000,1.10.4,46.0,faust,,,,,674.0,646.0,https://pypi.org/project/faust,2020-02-25 22:57:18.000000,28.0,145141.0,145141.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n158,stanza,stanfordnlp/stanza,,nlp,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56.000000,2021-02-21 05:10:41.000000,2021-02-10 16:16:29.000000,661,50.0,412.0,5202,1847.0,Official Stanford NLP Python Library for Many Human Languages.,32.0,28,True,2021-01-29 20:05:25.000000,1.2.0,10.0,stanza,stanfordnlp/stanza,,,,349.0,345.0,https://pypi.org/project/stanza,2021-01-27 16:31:43.000000,4.0,13080.0,13372.0,https://anaconda.org/stanfordnlp/stanza,2021-01-27 22:24:06.992000,3213.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n159,OpenNMT,OpenNMT/OpenNMT-py,,nlp,https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000000,2021-02-23 09:52:57.000000,2021-02-23 09:52:57.000000,1768,90.0,1133.0,4837,2546.0,Open Source Neural Machine Translation in PyTorch.,165.0,28,True,2021-01-27 09:22:31.000000,2.0.1,28.0,OpenNMT-py,,,,['pytorch'],77.0,73.0,https://pypi.org/project/OpenNMT-py,2021-01-27 09:22:31.000000,4.0,1623.0,1623.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n160,csvkit,wireservice/csvkit,,data-loading,https://github.com/wireservice/csvkit,https://github.com/wireservice/csvkit,MIT,2011-04-01 03:00:30.000000,2021-01-25 19:13:27.000000,2020-10-30 01:59:29.000000,535,56.0,744.0,4484,1693.0,\"A suite of utilities for converting to and working with CSV, the king of tabular file formats.\",91.0,28,True,2020-03-03 03:00:28.000000,1.0.5,33.0,csvkit,conda-forge/csvkit,,,,1525.0,823.0,https://pypi.org/project/csvkit,2020-03-03 03:00:28.000000,702.0,21376.0,22359.0,https://anaconda.org/conda-forge/csvkit,2019-05-28 12:30:50.171000,46211.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n161,Tokenizers,huggingface/tokenizers,,nlp,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000000,2021-02-22 14:00:05.000000,2021-02-10 02:05:52.000000,314,80.0,308.0,4281,1441.0,Fast State-of-the-Art Tokenizers optimized for Research and Production.,40.0,28,True,2021-02-08 17:12:03.000000,0.10.1,60.0,tokenizers,conda-forge/tokenizers,,,,25.0,25.0,https://pypi.org/project/tokenizers,2021-02-08 17:12:03.000000,0.0,747617.0,751555.0,https://anaconda.org/conda-forge/tokenizers,2020-11-19 06:02:47.112000,27566.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n162,sentence-transformers,UKPLab/sentence-transformers,,nlp,https://github.com/UKPLab/sentence-transformers,https://github.com/UKPLab/sentence-transformers,Apache-2.0,2019-07-24 10:53:51.000000,2021-02-24 22:12:37.000000,2021-02-24 20:25:17.000000,812,334.0,380.0,4250,640.0,Sentence Embeddings with BERT & XLNet.,41.0,28,True,2021-01-04 14:04:01.000000,0.4.1,29.0,sentence-transformers,,,,['pytorch'],683.0,683.0,https://pypi.org/project/sentence-transformers,2021-01-04 15:49:09.000000,0.0,375643.0,375643.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n163,PyOD,yzhao062/pyod,,others,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04.000000,2021-02-23 01:36:36.000000,2021-02-18 15:48:37.000000,858,106.0,84.0,4191,1255.0,(JMLR'19) A Python Toolbox for Scalable Outlier Detection (Anomaly Detection).,23.0,28,True,2021-02-18 15:53:13.000000,0.8.7,65.0,pyod,,,,,504.0,498.0,https://pypi.org/project/pyod,2021-02-18 15:53:13.000000,6.0,55175.0,55175.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n164,Kornia,kornia/kornia,,image,https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000000,2021-02-25 02:28:36.000000,2021-02-25 02:28:36.000000,366,97.0,252.0,3620,1501.0,Open Source Differentiable Computer Vision Library for PyTorch.,86.0,28,True,2020-10-20 19:31:49.000000,0.4.1,12.0,kornia,,,,['pytorch'],279.0,279.0,https://pypi.org/project/kornia,2020-10-20 19:31:49.000000,0.0,12695.0,12695.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n165,imutils,jrosebr1/imutils,,image,https://github.com/jrosebr1/imutils,https://github.com/jrosebr1/imutils,MIT,2015-01-11 20:05:39.000000,2021-02-18 08:19:08.000000,2021-01-15 10:46:45.000000,871,127.0,76.0,3536,138.0,\"A series of convenience functions to make basic image processing operations such as translation, rotation, resizing,..\",20.0,28,True,2021-01-15 10:53:17.000000,0.5.4,29.0,imutils,conda-forge/imutils,,,,13625.0,12429.0,https://pypi.org/project/imutils,2021-01-15 10:53:17.000000,1196.0,83795.0,85755.0,https://anaconda.org/conda-forge/imutils,2021-01-15 14:27:25.471000,39207.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n166,Kedro,quantumblacklabs/kedro,,data-pipelines,https://github.com/quantumblacklabs/kedro,https://github.com/quantumblacklabs/kedro,Apache-2.0,2019-04-18 10:29:56.000000,2021-02-25 14:04:56.000000,2021-02-25 12:38:43.000000,408,87.0,349.0,3486,1160.0,\"A Python framework for creating reproducible, maintainable and modular data science code.\",98.0,28,True,2020-12-17 13:31:56.000000,0.17.0,24.0,kedro,,,,,418.0,402.0,https://pypi.org/project/kedro,2020-12-17 13:31:56.000000,16.0,49020.0,49020.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n167,dyNET,clab/dynet,,ml-frameworks,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21.000000,2021-02-17 22:08:25.000000,2021-01-27 15:43:03.000000,692,255.0,660.0,3186,3267.0,DyNet: The Dynamic Neural Network Toolkit.,156.0,28,True,2020-10-21 14:31:01.000000,2.1.2,24.0,dyNET,,,,,205.0,167.0,https://pypi.org/project/dyNET,2020-10-21 14:31:01.000000,38.0,3399.0,3437.0,,,,,,,,3.0,1993.0,,,,,,,,,,,,,,,,,,,,,\n168,PyCaret,pycaret/pycaret,,ml-experiments,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000000,2021-02-24 09:07:29.000000,2021-02-24 09:07:28.000000,625,177.0,576.0,2977,1694.0,\"An open-source, low-code machine learning library in Python.\",46.0,28,True,2021-02-21 19:02:44.000000,2.3.0,69.0,pycaret,,,,,682.0,682.0,https://pypi.org/project/pycaret,2021-02-21 19:03:52.000000,0.0,18133.0,18184.0,,,,,,,,2.0,360.0,,,,,,,,,,,,,,,,,,,,,\n169,Blaze,blaze/blaze,,data-containers,https://github.com/blaze/blaze,https://github.com/blaze/blaze,BSD-3-Clause,2012-10-26 14:25:22.000000,2020-02-01 19:33:09.000000,2019-08-15 21:14:59.000000,373,262.0,500.0,2927,7496.0,NumPy and Pandas interface to Big Data.,64.0,28,False,2016-07-19 20:40:03.000000,0.11.0,14.0,blaze,conda-forge/blaze,,,,9120.0,7498.0,https://pypi.org/project/blaze,2016-05-06 21:19:21.000000,1622.0,7325.0,11812.0,https://anaconda.org/conda-forge/blaze,2018-07-15 22:16:17.685000,188480.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n170,Dedupe,dedupeio/dedupe,,nlp,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36.000000,2021-01-15 22:45:06.000000,2021-01-15 22:44:19.000000,420,55.0,573.0,2919,2793.0,\"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.\",55.0,28,True,2020-09-06 01:50:45.000000,2.0.6,157.0,dedupe,,,,,257.0,179.0,https://pypi.org/project/dedupe,2020-09-06 01:50:45.000000,78.0,36355.0,36355.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n171,phonenumbers,daviddrysdale/python-phonenumbers,,nlp,https://github.com/daviddrysdale/python-phonenumbers,https://github.com/daviddrysdale/python-phonenumbers,Apache-2.0,2011-04-21 03:06:38.000000,2021-02-09 08:55:35.000000,2021-02-09 08:49:38.000000,329,3.0,113.0,2637,,Python port of Google's libphonenumber.,22.0,28,True,2021-02-09 08:55:35.000000,8.12.18,169.0,phonenumbers,conda-forge/phonenumbers,,,,2280.0,,https://pypi.org/project/phonenumbers,2021-02-09 08:55:35.000000,2280.0,596370.0,603199.0,https://anaconda.org/conda-forge/phonenumbers,2019-08-04 21:19:59.322000,382429.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n172,VisPy,vispy/vispy,,data-viz,https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22.000000,2021-02-23 23:32:25.000000,2021-02-07 20:17:07.000000,535,354.0,789.0,2585,6427.0,High-performance interactive 2D/3D data visualization library.,146.0,28,True,2020-12-14 15:55:00.000000,0.6.6,16.0,vispy,conda-forge/vispy,,,['jupyter'],579.0,457.0,https://pypi.org/project/vispy,2020-11-28 02:55:50.000000,122.0,13278.0,16509.0,https://anaconda.org/conda-forge/vispy,2021-01-13 03:28:46.609000,126122.0,,,,,2.0,,,,vispy,https://www.npmjs.com/package/vispy,2020-03-15 14:39:41.516000,,78.0,,,,,,,,,,,,,,\n173,datashader,holoviz/datashader,,data-viz,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000000,2021-02-18 10:45:09.000000,2021-01-17 16:07:42.000000,311,144.0,326.0,2434,1282.0,Quickly and accurately render even the largest data.,43.0,28,True,2021-01-07 16:14:43.000000,0.12.0,22.0,datashader,conda-forge/datashader,,,,663.0,593.0,https://pypi.org/project/datashader,2021-01-07 16:14:43.000000,70.0,8918.0,12626.0,https://anaconda.org/conda-forge/datashader,2021-01-08 10:17:48.622000,144635.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n174,sklearn-pandas,scikit-learn-contrib/sklearn-pandas,,data-containers,https://github.com/scikit-learn-contrib/sklearn-pandas,https://github.com/scikit-learn-contrib/sklearn-pandas,Zlib,2013-04-22 22:55:20.000000,2021-02-20 08:48:56.000000,2021-02-20 08:48:56.000000,389,29.0,118.0,2341,278.0,Pandas integration with sklearn.,35.0,28,False,2021-01-06 16:33:14.000000,2.0.4,25.0,sklearn-pandas,,,,\"['sklearn', 'pandas']\",1997.0,1775.0,https://pypi.org/project/sklearn-pandas,2021-01-06 16:33:14.000000,222.0,104524.0,104524.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n175,GPyTorch,cornellius-gp/gpytorch,,probabilistics,https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000000,2021-02-24 15:25:09.000000,2021-02-23 14:39:45.000000,328,196.0,668.0,2303,3348.0,A highly efficient and modular implementation of Gaussian Processes in PyTorch.,73.0,28,True,2021-02-23 14:34:28.000000,1.4.0,25.0,gpytorch,,,,['pytorch'],229.0,221.0,https://pypi.org/project/gpytorch,2021-01-19 22:09:01.000000,8.0,31058.0,31058.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n176,NMSLIB,nmslib/nmslib,,nn-search,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06.000000,2021-02-03 16:23:42.000000,2021-02-03 16:21:49.000000,336,46.0,319.0,2294,1495.0,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,44.0,28,True,2021-02-03 16:40:09.000000,2.1.1,32.0,nmslib,conda-forge/nmslib,,,,375.0,323.0,https://pypi.org/project/nmslib,2021-02-03 00:02:08.000000,52.0,41276.0,42754.0,https://anaconda.org/conda-forge/nmslib,2021-01-08 16:19:07.762000,14789.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n177,implicit,benfred/implicit,,recommender-systems,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000000,2021-02-10 05:30:09.000000,2021-02-10 05:29:05.000000,460,80.0,257.0,2266,301.0,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,29.0,28,True,2020-09-15 22:01:38.000000,0.4.4,34.0,implicit,conda-forge/implicit,,,,414.0,370.0,https://pypi.org/project/implicit,2020-09-15 22:01:38.000000,44.0,58835.0,64163.0,https://anaconda.org/conda-forge/implicit,2020-11-24 06:44:37.378000,197155.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n178,Keras Tuner,keras-team/keras-tuner,,hyperopt,https://github.com/keras-team/keras-tuner,https://github.com/keras-team/keras-tuner,Apache-2.0,2019-06-06 22:38:21.000000,2021-02-24 07:31:21.000000,2021-02-24 07:31:18.000000,263,145.0,147.0,2248,800.0,Hyperparameter tuning for humans.,34.0,28,True,2020-11-20 19:13:23.000000,1.0.2,5.0,keras-tuner,,,,['tensorflow'],425.0,421.0,https://pypi.org/project/keras-tuner,2020-11-20 19:00:59.000000,4.0,115088.0,115088.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n179,ipyparallel,ipython/ipyparallel,,distributed-ml,https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,BSD-3-Clause,2015-04-09 07:43:55.000000,2021-02-23 14:37:54.000000,2021-02-22 12:08:33.000000,768,146.0,107.0,1897,1830.0,Interactive Parallel Computing in Python.,97.0,28,True,2020-05-05 18:42:38.000000,6.3.0,21.0,ipyparallel,conda-forge/ipyparallel,,,['jupyter'],1916.0,1426.0,https://pypi.org/project/ipyparallel,2020-05-05 18:42:38.000000,490.0,30693.0,37353.0,https://anaconda.org/conda-forge/ipyparallel,2021-01-22 17:12:52.539000,386320.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n180,ImageHash,JohannesBuchner/imagehash,,image,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48.000000,2021-01-03 14:55:33.000000,2021-01-03 14:55:15.000000,247,17.0,70.0,1845,184.0,A Python Perceptual Image Hashing Module.,17.0,28,True,2020-11-19 14:54:24.000000,4.2.0,17.0,ImageHash,conda-forge/imagehash,,,,2597.0,2065.0,https://pypi.org/project/ImageHash,2020-11-19 14:54:24.000000,532.0,232309.0,234348.0,https://anaconda.org/conda-forge/imagehash,2020-11-19 18:20:49.964000,103993.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n181,pyLDAvis,bmabey/pyLDAvis,,interpretability,https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03.000000,2021-02-21 02:43:58.000000,2021-02-21 02:43:12.000000,302,96.0,62.0,1411,225.0,Python library for interactive topic model visualization. Port of the R LDAvis package.,32.0,28,True,2021-02-21 02:43:58.000000,3.2.2,22.0,pyldavis,conda-forge/pyldavis,,,['jupyter'],2013.0,1815.0,https://pypi.org/project/pyldavis,2021-02-21 02:43:58.000000,198.0,46473.0,47143.0,https://anaconda.org/conda-forge/pyldavis,2018-06-22 21:16:15.741000,21466.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n182,torchaudio,pytorch/audio,,audio,https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000000,2021-02-25 12:38:49.000000,2021-02-24 21:22:37.000000,272,152.0,282.0,1237,736.0,\"Data manipulation and transformation for audio signal processing, powered by PyTorch.\",94.0,28,True,2020-12-10 17:02:20.000000,0.7.2,11.0,torchaudio,,,,['pytorch'],1631.0,1613.0,https://pypi.org/project/torchaudio,2020-10-27 16:14:57.000000,18.0,58303.0,58303.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n183,PyTables,PyTables/PyTables,,data-containers,https://github.com/PyTables/PyTables,https://github.com/PyTables/PyTables,BSD-3-Clause,2011-06-03 19:44:46.000000,2021-02-13 19:09:50.000000,2021-02-01 11:26:34.000000,181,157.0,446.0,1005,3950.0,A Python package to manage extremely large amounts of data.,96.0,28,True,2019-10-30 19:33:37.000000,3.6.1,25.0,tables,conda-forge/pytables,,,,3754.0,,https://pypi.org/project/tables,2019-10-30 19:33:37.000000,3754.0,238482.0,280784.0,https://anaconda.org/conda-forge/pytables,2021-01-14 18:41:06.536000,2284208.0,,,,,2.0,125.0,,,,,,,,,,,,,,,,,,,,,\n184,Keras-Preprocessing,keras-team/keras-preprocessing,,others,https://github.com/keras-team/keras-preprocessing,https://github.com/keras-team/keras-preprocessing,MIT,2018-05-30 22:43:36.000000,2021-02-04 19:43:30.000000,2021-02-04 19:43:30.000000,396,93.0,99.0,911,284.0,\"Utilities for working with image data, text data, and sequence data.\",50.0,28,True,2020-05-14 03:53:47.000000,1.1.2,12.0,keras-preprocessing,conda-forge/keras-preprocessing,,,['tensorflow'],2736.0,,https://pypi.org/project/keras-preprocessing,2020-05-14 03:53:47.000000,2736.0,2571436.0,2598096.0,https://anaconda.org/conda-forge/keras-preprocessing,2021-01-15 12:28:58.923000,853126.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n185,Cython BLIS,explosion/cython-blis,,others,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16.000000,2021-02-25 03:59:27.000000,2020-12-07 07:21:11.000000,23,6.0,15.0,165,524.0,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,9.0,28,True,2020-12-07 08:56:44.000000,0.7.4,35.0,blis,conda-forge/cython-blis,,,,8947.0,8557.0,https://pypi.org/project/blis,2020-12-07 08:56:44.000000,390.0,672809.0,690780.0,https://anaconda.org/conda-forge/cython-blis,2021-01-31 09:13:47.685000,413341.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n186,fastText,facebookresearch/fastText,,nlp,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000000,2021-01-15 15:28:41.000000,2020-07-18 00:20:40.000000,4310,439.0,592.0,22264,379.0,Library for fast text representation and classification.,58.0,27,True,2020-04-28 09:54:50.000000,0.9.2,35.0,fasttext,conda-forge/fasttext,,,,1715.0,1525.0,https://pypi.org/project/fasttext,2020-04-28 09:54:50.000000,190.0,,446.0,https://anaconda.org/conda-forge/fasttext,2020-10-12 14:55:45.199000,17863.0,,,,,2.0,,,-3.0,,,,,,,,,,,,,,,,,,,\n187,Streamlit,streamlit/streamlit,,others,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000000,2021-02-25 15:13:55.000000,2021-02-25 05:43:01.000000,1134,599.0,984.0,13511,,Streamlit The fastest way to build data apps in Python.,87.0,27,True,2021-02-23 22:26:04.000000,0.77.0,124.0,streamlit,,,,,93.0,59.0,https://pypi.org/project/streamlit,2021-02-04 20:39:11.000000,34.0,89305.0,89305.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n188,EasyOCR,JaidedAI/EasyOCR,,ocr,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000000,2021-02-23 00:29:20.000000,2021-02-22 13:19:51.000000,1095,100.0,167.0,10769,381.0,\"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..\",75.0,27,True,2021-02-23 00:29:20.000000,1.2.5,17.0,easyocr,,,,,125.0,125.0,https://pypi.org/project/easyocr,2021-02-07 11:40:27.000000,0.0,10498.0,32504.0,,,,,,,,1.0,176050.0,,,,,,,,,,,,,,,,,,,,,\n189,Dopamine,google/dopamine,,reinforcement-learning,https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36.000000,2021-02-24 21:53:12.000000,2021-02-24 21:53:08.000000,1243,80.0,70.0,9322,221.0,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,14.0,27,True,2021-02-12 20:18:33.000000,3.1.9,35.0,dopamine-rl,,,,['tensorflow'],62.0,,https://pypi.org/project/dopamine-rl,2021-02-12 20:18:33.000000,62.0,53961.0,53961.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n190,AutoKeras,keras-team/autokeras,,hyperopt,https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20.000000,2021-02-24 18:32:31.000000,2021-02-24 18:27:56.000000,1259,57.0,665.0,7772,1240.0,AutoML library for deep learning.,127.0,27,True,2020-11-30 02:43:50.000000,1.0.12,46.0,autokeras,,,,['tensorflow'],152.0,145.0,https://pypi.org/project/autokeras,2020-11-30 02:43:50.000000,7.0,2766.0,2766.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n191,pretrainedmodels,Cadene/pretrained-models.pytorch,,pytorch-utils,https://github.com/Cadene/pretrained-models.pytorch,https://github.com/Cadene/pretrained-models.pytorch,BSD-3-Clause,2017-04-09 15:54:23.000000,2020-06-08 16:06:59.000000,2020-04-16 08:02:22.000000,1606,85.0,86.0,7729,154.0,\"Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.\",22.0,27,True,2018-10-29 08:18:45.000000,0.7.4,16.0,pretrainedmodels,,,,['pytorch'],983.0,879.0,https://pypi.org/project/pretrainedmodels,2018-10-29 08:18:45.000000,104.0,22328.0,22328.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n192,tensorboardX,lanpa/tensorboardX,,ml-experiments,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19.000000,2020-10-14 17:46:25.000000,2020-07-05 17:29:00.000000,788,72.0,341.0,6824,460.0,\"tensorboard for pytorch (and chainer, mxnet, numpy, ...).\",64.0,27,True,2020-07-05 17:54:10.000000,2.0,13.0,tensorboardX,conda-forge/tensorboardx,,,,11705.0,10371.0,https://pypi.org/project/tensorboardX,2020-07-05 16:22:14.000000,1334.0,215021.0,222892.0,https://anaconda.org/conda-forge/tensorboardx,2020-07-06 20:33:55.729000,291008.0,,,,,2.0,299.0,,,,,,,,,,,,,,,,,,,,,\n193,dgl,dmlc/dgl,,graph,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000000,2021-02-25 14:36:44.000000,2021-02-25 12:20:52.000000,1354,237.0,726.0,6701,1590.0,\"Python package built to ease deep learning on graph, on top of existing DL frameworks.\",109.0,27,True,2020-11-30 07:39:12.000000,0.5.3,379.0,dgl,,,,,30.0,,https://pypi.org/project/dgl,2021-02-25 09:25:49.000000,30.0,13374.0,13374.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n194,TensorLayer,tensorlayer/tensorlayer,,reinforcement-learning,https://github.com/tensorlayer/tensorlayer,https://github.com/tensorlayer/tensorlayer,Apache-2.0,2016-06-07 15:55:16.000000,2021-02-23 00:48:18.000000,2021-02-22 06:39:19.000000,1460,17.0,433.0,6500,3344.0,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,131.0,27,True,2021-01-06 07:16:21.000000,2.2.4,82.0,tensorlayer,,,,['tensorflow'],68.0,,https://pypi.org/project/tensorlayer,2020-06-19 00:53:37.000000,68.0,1512.0,1534.0,,,,,,,,2.0,1202.0,,,,,,,,,,,,,,,,,,,,,\n195,imageai,OlafenwaMoses/ImageAI,,image,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33.000000,2021-02-05 19:32:30.000000,2021-01-05 01:31:12.000000,1642,190.0,411.0,5912,290.0,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,13.0,27,True,2021-01-05 01:26:01.000000,2.1.6,10.0,imageai,,,,,727.0,703.0,https://pypi.org/project/imageai,2021-01-05 01:26:01.000000,24.0,3772.0,19711.0,,,,,,,,2.0,541935.0,,,,,,,,,,,,,,,,,,,,,\n196,tsfresh,blue-yonder/tsfresh,,time-series-data,https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17.000000,2021-02-24 09:12:32.000000,2021-01-28 17:23:03.000000,852,36.0,404.0,5427,398.0,Automatic extraction of relevant features from time series:.,73.0,27,True,2020-09-09 21:08:22.000000,0.17.0,26.0,tsfresh,conda-forge/tsfresh,,,['sklearn'],66.0,,https://pypi.org/project/tsfresh,2020-09-09 21:08:22.000000,66.0,116861.0,117607.0,https://anaconda.org/conda-forge/tsfresh,2020-09-10 08:48:19.773000,29105.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n197,CleverHans,cleverhans-lab/cleverhans,,adversarial,https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04.000000,2021-02-24 17:18:45.000000,2021-02-24 17:18:38.000000,1233,24.0,413.0,4969,3075.0,\"An adversarial example library for constructing attacks, building defenses, and benchmarking both.\",115.0,27,True,2021-02-01 06:35:42.000000,3.1.0,7.0,cleverhans,,,,['tensorflow'],208.0,192.0,https://pypi.org/project/cleverhans,2018-11-27 17:36:15.000000,16.0,341.0,341.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n198,Bayesian Optimization,fmfn/BayesianOptimization,,hyperopt,https://github.com/fmfn/BayesianOptimization,https://github.com/fmfn/BayesianOptimization,MIT,2014-06-06 08:18:56.000000,2021-02-16 13:11:04.000000,2020-12-19 01:11:23.000000,1097,40.0,164.0,4899,199.0,A Python implementation of global optimization with gaussian processes.,27.0,27,True,2020-05-16 16:03:51.000000,1.2.0,8.0,bayesian-optimization,,,,,718.0,626.0,https://pypi.org/project/bayesian-optimization,2020-05-16 15:56:09.000000,92.0,40823.0,40824.0,,,,,,,,2.0,47.0,,,,,,,,,,,,,,,,,,,,,\n199,GluonCV,dmlc/gluon-cv,,image,https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21.000000,2021-02-23 00:35:07.000000,2021-02-22 19:15:20.000000,1050,374.0,378.0,4564,844.0,Gluon CV Toolkit.,111.0,27,True,2021-02-17 23:53:26.000000,0.9.4,1010.0,gluoncv,,,,['mxnet'],465.0,435.0,https://pypi.org/project/gluoncv,2021-02-22 09:01:48.000000,30.0,35023.0,35023.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n200,PDFMiner,euske/pdfminer,,data-loading,https://github.com/euske/pdfminer,https://github.com/euske/pdfminer,MIT,2010-12-12 12:50:22.000000,2021-02-16 14:43:27.000000,2020-01-18 07:00:32.000000,1024,222.0,40.0,4510,540.0,Python PDF Parser (Not actively maintained). Check out pdfminer.six.,28.0,27,False,,,24.0,pdfminer,conda-forge/pdfminer,,,,3530.0,2064.0,https://pypi.org/project/pdfminer,2019-11-25 12:02:21.000000,1466.0,71838.0,72100.0,https://anaconda.org/conda-forge/pdfminer,2021-02-15 15:07:18.804000,14174.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n201,snorkel,snorkel-team/snorkel,,data-loading,https://github.com/snorkel-team/snorkel,https://github.com/snorkel-team/snorkel,Apache-2.0,2016-02-26 05:52:45.000000,2021-02-19 10:56:12.000000,2021-02-14 19:54:21.000000,735,22.0,915.0,4494,2647.0,A system for quickly generating training data with weak supervision.,62.0,27,True,2020-08-09 03:07:36.000000,0.9.6,18.0,snorkel,conda-forge/snorkel,,,,79.0,71.0,https://pypi.org/project/snorkel,2020-08-09 02:57:34.000000,8.0,64991.0,65841.0,https://anaconda.org/conda-forge/snorkel,2020-04-10 13:08:54.445000,15972.0,,,,,3.0,506.0,,,,,,,,,,,,,,,,,,,,,\n202,librosa,librosa/librosa,,audio,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000000,2021-02-22 14:41:15.000000,2021-02-16 15:24:03.000000,705,73.0,781.0,4312,,Python library for audio and music analysis.,81.0,27,True,2020-07-22 01:34:55.000000,0.8.0,28.0,librosa,conda-forge/librosa,,,,11282.0,9532.0,https://pypi.org/project/librosa,2020-07-22 01:34:55.000000,1750.0,234608.0,239189.0,https://anaconda.org/conda-forge/librosa,2020-07-22 10:27:18.402000,251988.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n203,DEAP,deap/deap,,distributed-ml,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39.000000,2021-02-24 12:54:41.000000,2020-12-25 17:33:18.000000,852,169.0,223.0,4095,2147.0,Distributed Evolutionary Algorithms in Python.,67.0,27,False,2020-01-21 01:18:06.000000,1.3.1,16.0,deap,conda-forge/deap,,,,2112.0,1630.0,https://pypi.org/project/deap,2020-01-21 01:18:06.000000,482.0,49585.0,51644.0,https://anaconda.org/conda-forge/deap,2021-01-13 14:43:13.393000,115315.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n204,sktime,alan-turing-institute/sktime,,time-series-data,https://github.com/alan-turing-institute/sktime,https://github.com/alan-turing-institute/sktime,BSD-3-Clause,2018-11-06 15:08:24.000000,2021-02-25 14:45:10.000000,2021-02-25 14:45:10.000000,454,122.0,244.0,3643,1750.0,A unified framework for machine learning with time series.,76.0,27,True,2021-02-06 11:40:49.000000,0.5.3,13.0,sktime,,,,['sklearn'],112.0,112.0,https://pypi.org/project/sktime,2021-02-06 11:40:49.000000,0.0,10488.0,10490.0,,,,,,,,1.0,53.0,,,,,,,,,,,,,,,,,,,,,\n205,lightfm,lyst/lightfm,,recommender-systems,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00.000000,2021-02-09 09:07:19.000000,2021-02-07 21:16:06.000000,563,127.0,337.0,3497,428.0,\"A Python implementation of LightFM, a hybrid recommendation algorithm.\",44.0,27,True,2020-11-27 19:48:30.000000,1.16,14.0,lightfm,conda-forge/lightfm,,,,455.0,399.0,https://pypi.org/project/lightfm,2020-11-27 19:55:08.000000,56.0,62151.0,64242.0,https://anaconda.org/conda-forge/lightfm,2021-02-07 22:19:58.097000,77371.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n206,InterpretML,interpretml/interpret,,interpretability,https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000000,2021-02-25 09:07:10.000000,2021-02-25 09:06:26.000000,430,52.0,121.0,3495,1488.0,Fit interpretable models. Explain blackbox machine learning.,23.0,27,True,2021-01-20 02:12:33.000000,0.2.4,34.0,interpret,,,,['jupyter'],64.0,62.0,https://pypi.org/project/interpret,2021-01-20 02:10:35.000000,2.0,8338.0,8338.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n207,Ignite,pytorch/ignite,,ml-frameworks,https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000000,2021-02-25 14:24:27.000000,2021-02-25 12:29:08.000000,437,104.0,638.0,3280,930.0,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,128.0,27,True,2021-02-07 23:18:54.000000,0.4.3,473.0,pytorch-ignite,pytorch/ignite,,,['pytorch'],827.0,765.0,https://pypi.org/project/pytorch-ignite,2021-02-22 00:31:00.000000,62.0,23161.0,24858.0,https://anaconda.org/pytorch/ignite,2021-02-07 23:18:48.877000,54309.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n208,Alpha Vantage,RomelTorres/alpha_vantage,,financial-data,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00.000000,2021-02-17 12:42:04.000000,2020-12-21 19:51:57.000000,563,16.0,214.0,3161,497.0,A python wrapper for Alpha Vantage API for financial data.,36.0,27,True,2020-12-21 02:37:29.000000,2.3.1,28.0,alpha_vantage,,,,,202.0,,https://pypi.org/project/alpha_vantage,2018-08-26 18:55:11.000000,202.0,12650.0,12650.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n209,Dagster,dagster-io/dagster,,data-pipelines,https://github.com/dagster-io/dagster,https://github.com/dagster-io/dagster,Apache-2.0,2018-04-30 16:30:04.000000,2021-02-25 07:27:20.000000,2021-02-25 07:27:15.000000,297,660.0,1909.0,2948,6751.0,\"A data orchestrator for machine learning, analytics, and ETL.\",118.0,27,True,2021-02-18 22:11:43.000000,0.10.6,238.0,dagster,conda-forge/dagster,,,,145.0,141.0,https://pypi.org/project/dagster,2021-02-18 22:11:43.000000,4.0,21297.0,31406.0,https://anaconda.org/conda-forge/dagster,2021-02-21 19:50:08.832000,151647.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n210,missingno,ResidentMario/missingno,,data-viz,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50.000000,2020-12-28 16:13:39.000000,2020-12-28 16:13:38.000000,347,15.0,88.0,2660,170.0,Missing data visualization module for Python.,15.0,27,True,2019-07-09 16:05:14.000000,0.4.2,22.0,missingno,conda-forge/missingno,,,,3098.0,2946.0,https://pypi.org/project/missingno,2019-07-09 16:05:14.000000,152.0,106119.0,107881.0,https://anaconda.org/conda-forge/missingno,2020-02-15 10:07:41.253000,75789.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n211,pomegranate,jmschrei/pomegranate,,probabilistics,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000000,2021-02-19 20:25:39.000000,2021-02-12 22:35:15.000000,472,38.0,542.0,2604,884.0,\"Fast, flexible and easy to use probabilistic modelling in Python.\",61.0,27,True,2021-02-12 19:38:41.000000,0.14.2,63.0,pomegranate,conda-forge/pomegranate,,,,452.0,396.0,https://pypi.org/project/pomegranate,2021-02-12 19:38:41.000000,56.0,15959.0,18398.0,https://anaconda.org/conda-forge/pomegranate,2020-11-01 16:22:04.857000,46354.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n212,plotnine,has2k1/plotnine,,data-viz,https://github.com/has2k1/plotnine,https://github.com/has2k1/plotnine,GPL-2.0,2017-04-24 19:00:44.000000,2021-02-24 12:47:21.000000,2021-02-24 11:58:45.000000,135,68.0,352.0,2582,1680.0,A grammar of graphics for Python.,82.0,27,False,2020-08-05 20:10:30.000000,0.7.1,10.0,plotnine,conda-forge/plotnine,,,,1839.0,1585.0,https://pypi.org/project/plotnine,2020-08-05 18:55:16.000000,254.0,78348.0,80417.0,https://anaconda.org/conda-forge/plotnine,2020-08-06 19:52:38.810000,93125.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n213,Jina,jina-ai/jina,,ml-frameworks,https://github.com/jina-ai/jina,https://github.com/jina-ai/jina,Apache-2.0,2020-02-13 17:04:44.000000,2021-02-25 14:02:14.000000,2021-02-25 13:02:05.000000,363,49.0,608.0,2407,4899.0,An easier way to build neural search on the cloud.,86.0,27,True,2021-02-21 23:13:01.000000,1.0.4,408.0,jina,,jinaai/jina,,,49.0,49.0,https://pypi.org/project/jina,2021-02-25 09:16:24.000000,,3989.0,16266.0,,,,https://hub.docker.com/r/jinaai/jina,2021-02-25 13:14:45.357608,,147325.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n214,eli5,TeamHG-Memex/eli5,,interpretability,https://github.com/TeamHG-Memex/eli5,https://github.com/TeamHG-Memex/eli5,MIT,2016-09-15 01:04:57.000000,2021-01-25 08:24:59.385000,2020-01-22 07:39:36.000000,296,145.0,110.0,2301,1198.0,A library for debugging/inspecting machine learning classifiers and explaining their predictions.,14.0,27,False,2021-01-23 14:25:24.000000,0.11.0,28.0,eli5,conda-forge/eli5,,,,110.0,,https://pypi.org/project/eli5,2021-01-23 14:25:24.000000,110.0,123237.0,125199.0,https://anaconda.org/conda-forge/eli5,2021-01-25 08:24:59.385000,88296.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n215,Cufflinks,santosjorge/cufflinks,,data-viz,https://github.com/santosjorge/cufflinks,https://github.com/santosjorge/cufflinks,MIT,2014-11-19 20:59:33.000000,2021-02-25 05:05:09.000000,2021-02-25 05:05:09.000000,535,81.0,121.0,2098,452.0,Productivity Tools for Plotly + Pandas.,38.0,27,True,2020-03-01 17:42:01.000000,0.17.3,27.0,cufflinks,,,,['pandas'],2982.0,2748.0,https://pypi.org/project/cufflinks,2020-03-01 17:42:01.000000,234.0,38112.0,38112.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n216,ta,bukosabino/ta,,financial-data,https://github.com/bukosabino/ta,https://github.com/bukosabino/ta,MIT,2018-01-02 18:08:48.000000,2021-02-25 05:21:53.000000,2020-11-29 21:08:14.000000,482,72.0,83.0,1862,582.0,Technical Analysis Library using Pandas and Numpy.,23.0,27,True,2020-11-29 10:49:09.000000,0.7.0,49.0,ta,,,,,444.0,432.0,https://pypi.org/project/ta,2020-11-29 10:49:09.000000,12.0,19281.0,19281.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n217,TF-Agents,tensorflow/agents,,reinforcement-learning,https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000000,2021-02-25 08:47:25.000000,2021-02-25 08:46:55.000000,470,113.0,315.0,1808,1639.0,TF-Agents is a library for Reinforcement Learning in TensorFlow.,85.0,27,True,2021-01-05 18:41:58.000000,0.7.1,18.0,tf-agents,,,,['tensorflow'],396.0,384.0,https://pypi.org/project/tf-agents,2021-01-05 18:41:58.000000,12.0,5556.0,5556.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n218,filterpy,rlabbe/filterpy,,probabilistics,https://github.com/rlabbe/filterpy,https://github.com/rlabbe/filterpy,MIT,2014-07-15 02:15:19.000000,2021-02-08 17:56:29.000000,2021-02-08 17:55:48.000000,405,21.0,147.0,1691,536.0,\"Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman..\",33.0,27,True,2018-10-10 22:38:24.000000,1.4.5,48.0,filterpy,conda-forge/filterpy,,,,941.0,729.0,https://pypi.org/project/filterpy,2018-10-10 22:38:24.000000,212.0,21625.0,22923.0,https://anaconda.org/conda-forge/filterpy,2020-05-05 21:13:59.073000,57116.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n219,MNE,mne-tools/mne-python,,medical-data,https://github.com/mne-tools/mne-python,https://github.com/mne-tools/mne-python,BSD-3-Clause,2011-01-28 03:31:13.000000,2021-02-25 14:33:43.000000,2021-02-25 12:08:38.000000,860,326.0,3163.0,1517,,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,234.0,27,True,2020-12-17 15:32:54.000000,0.22.0,50.0,mne,conda-forge/mne,,,,1037.0,839.0,https://pypi.org/project/mne,2020-12-17 15:32:54.000000,198.0,16152.0,18378.0,https://anaconda.org/conda-forge/mne,2020-12-20 21:44:36.472000,106877.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n220,Flax,google/flax,,ml-frameworks,https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000000,2021-02-25 11:05:37.000000,2021-02-25 08:12:07.000000,168,145.0,154.0,1472,1629.0,Flax is a neural network ecosystem for JAX that is designed for flexibility.,76.0,27,True,2020-12-08 15:14:03.000000,0.3.0,9.0,flax,,,,['jax'],106.0,100.0,https://pypi.org/project/flax,2020-12-08 15:14:03.000000,6.0,53990.0,53992.0,,,,,,,,3.0,23.0,,,,,,,,,,,,,,,,,,,,,\n221,Cartopy,mapbox/rasterio,,geospatial-data,https://github.com/mapbox/rasterio,https://github.com/mapbox/rasterio,LGPL-3.0,2013-11-04 16:36:27.000000,2021-02-25 00:40:30.000000,2021-02-18 19:29:47.000000,390,137.0,1211.0,1438,3271.0,Rasterio reads and writes geospatial raster datasets.,107.0,27,False,2020-05-04 03:02:47.000000,0.18.0,19.0,Cartopy,conda-forge/cartopy,,,,3119.0,2773.0,https://pypi.org/project/Cartopy,2020-05-04 03:02:47.000000,346.0,15476.0,38889.0,https://anaconda.org/conda-forge/cartopy,2021-02-12 18:27:31.764000,1380785.0,,,,,3.0,703.0,,,,,,,,,,,,,,,,,,,,,\n222,datasketch,ekzhu/datasketch,,data-containers,https://github.com/ekzhu/datasketch,https://github.com/ekzhu/datasketch,MIT,2015-03-20 01:21:46.000000,2021-02-24 19:51:10.000000,2021-02-24 19:46:37.000000,207,20.0,92.0,1429,194.0,\"MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble.\",17.0,27,True,2020-12-23 21:01:43.000000,1.5.3,75.0,datasketch,,,,,345.0,259.0,https://pypi.org/project/datasketch,2020-12-23 21:01:43.000000,86.0,129337.0,129337.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,,,,\n223,GPflow,GPflow/GPflow,,probabilistics,https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000000,2021-02-24 20:28:55.000000,2021-02-18 16:29:39.000000,389,86.0,604.0,1394,2203.0,Gaussian processes in TensorFlow.,70.0,27,True,2020-12-01 13:12:15.000000,2.1.4,28.0,gpflow,conda-forge/gpflow,,,['tensorflow'],256.0,222.0,https://pypi.org/project/gpflow,2020-12-01 13:12:15.000000,34.0,2075.0,2325.0,https://anaconda.org/conda-forge/gpflow,2018-11-06 08:51:39.744000,8260.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n224,PyCUDA,inducer/pycuda,,gpu-utilities,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000000,2021-02-23 23:59:13.000000,2021-02-23 23:58:12.000000,217,41.0,125.0,1095,1459.0,\"CUDA integration for Python, plus shiny features.\",69.0,27,True,2019-08-12 04:15:37.000000,2019.1.2,46.0,pycuda,,,,,1036.0,744.0,https://pypi.org/project/pycuda,2020-10-07 21:59:52.000000,292.0,11818.0,11818.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n225,ipyleaflet,jupyter-widgets/ipyleaflet,,geospatial-data,https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10.000000,2021-02-11 08:35:25.000000,2021-02-11 08:35:24.000000,278,135.0,251.0,1090,908.0,A Jupyter - Leaflet.js bridge.,63.0,27,True,2021-01-05 16:38:38.000000,0.13.6,70.0,ipyleaflet,conda-forge/ipyleaflet,,,['jupyter'],803.0,703.0,https://pypi.org/project/ipyleaflet,2021-01-05 16:38:38.000000,98.0,13083.0,182661.0,https://anaconda.org/conda-forge/ipyleaflet,2021-01-16 23:51:37.383000,605095.0,,,,,3.0,,,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2021-01-05 16:30:30.235000,2.0,158963.0,,,,,,,,,,,,,,\n226,Model Analysis,tensorflow/model-analysis,,interpretability,https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000000,2021-02-24 04:13:07.000000,2021-02-24 04:13:03.000000,212,27.0,32.0,1040,904.0,Model analysis tools for TensorFlow.,33.0,27,True,2021-02-23 19:09:00.000000,0.28.0,35.0,tensorflow-model-analysis,,,,\"['tensorflow', 'jupyter']\",20.0,,https://pypi.org/project/tensorflow-model-analysis,2021-02-23 19:09:00.000000,20.0,3629429.0,3629429.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n227,Mesh,tensorflow/mesh,,distributed-ml,https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34.000000,2021-02-23 19:52:25.000000,2021-02-23 19:52:16.000000,150,72.0,13.0,878,584.0,Mesh TensorFlow: Model Parallelism Made Easier.,38.0,27,True,2020-12-17 23:10:07.000000,0.1.18,24.0,mesh-tensorflow,,,,['tensorflow'],552.0,496.0,https://pypi.org/project/mesh-tensorflow,2020-12-17 23:10:07.000000,56.0,70395.0,70395.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n228,petl,petl-developers/petl,,data-pipelines,https://github.com/petl-developers/petl,https://github.com/petl-developers/petl,MIT,2011-08-19 09:51:03.000000,2021-02-23 21:08:43.000000,2021-02-04 17:18:53.000000,151,66.0,342.0,839,1131.0,Python Extract Transform and Load Tables of Data.,44.0,27,True,2021-02-04 19:33:48.000000,1.7.2,77.0,petl,conda-forge/petl,,http://petl.readthedocs.org,,440.0,326.0,https://pypi.org/project/petl,2021-02-04 19:33:48.000000,114.0,12214.0,12599.0,https://anaconda.org/conda-forge/petl,2021-02-04 21:23:53.862000,20428.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n229,igraph,igraph/python-igraph,,graph,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16.000000,2021-02-24 21:04:34.000000,2021-02-24 21:04:29.000000,181,28.0,258.0,783,1588.0,Python interface for igraph.,49.0,27,False,2020-10-08 14:50:52.000000,0.8.3,18.0,python-igraph,conda-forge/igraph,,,,1893.0,1469.0,https://pypi.org/project/python-igraph,2020-10-08 12:41:40.000000,424.0,37204.0,42730.0,https://anaconda.org/conda-forge/igraph,2021-01-05 11:05:57.682000,200690.0,,,,,1.0,71569.0,,,,,,,,,,,,,,,,,,,,,\n230,pyopencl,inducer/pyopencl,,others,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,MIT,2011-04-06 02:51:33.000000,2021-02-23 23:57:50.000000,2021-02-23 23:57:49.000000,209,52.0,209.0,782,2912.0,\"OpenCL integration for Python, plus shiny features.\",84.0,27,True,2021-01-28 14:18:50.000000,2021.1.1,57.0,pyopencl,conda-forge/pyopencl,,,,710.0,472.0,https://pypi.org/project/pyopencl,2021-02-17 20:15:17.000000,238.0,6612.0,12840.0,https://anaconda.org/conda-forge/pyopencl,2021-02-17 23:10:21.103000,323902.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n231,patsy,pydata/patsy,,probabilistics,https://github.com/pydata/patsy,https://github.com/pydata/patsy,BSD-2-Clause,2012-07-10 12:30:06.000000,2020-09-09 13:00:29.000000,2018-10-31 21:55:48.000000,85,78.0,52.0,739,517.0,Describing statistical models in Python using symbolic formulas.,13.0,27,False,2018-10-28 05:07:55.000000,0.5.1,8.0,patsy,conda-forge/patsy,,,,35379.0,30455.0,https://pypi.org/project/patsy,2018-10-28 03:59:51.000000,4924.0,1841845.0,1890585.0,https://anaconda.org/conda-forge/patsy,2018-10-28 05:21:35.412000,2631975.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n232,data-validation,tensorflow/data-validation,,data-viz,https://github.com/tensorflow/data-validation,https://github.com/tensorflow/data-validation,Apache-2.0,2018-07-02 15:47:02.000000,2021-02-24 02:22:50.000000,2021-02-24 01:27:27.000000,95,38.0,75.0,524,576.0,Library for exploring and validating machine learning data.,20.0,27,True,2021-02-24 01:58:44.000000,0.28.0,25.0,tensorflow-data-validation,,,,\"['tensorflow', 'jupyter']\",255.0,237.0,https://pypi.org/project/tensorflow-data-validation,2021-02-24 02:22:50.000000,18.0,3775499.0,3775506.0,,,,,,,,2.0,206.0,,,,,,,,,,,,,,,,,,,,,\n233,DIPY,dipy/dipy,,medical-data,https://github.com/dipy/dipy,https://github.com/dipy/dipy,BSD-3-Clause,2010-02-06 11:43:08.000000,2021-02-25 00:03:44.000000,2021-02-19 20:49:08.000000,313,156.0,573.0,391,11388.0,\"DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal..\",118.0,27,True,2020-11-05 17:35:53.000000,1.3.0,21.0,dipy,conda-forge/dipy,,,,430.0,336.0,https://pypi.org/project/dipy,2020-11-05 17:35:53.000000,94.0,4224.0,7485.0,https://anaconda.org/conda-forge/dipy,2020-11-14 18:28:50.683000,185911.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n234,audioread,beetbox/audioread,,audio,https://github.com/beetbox/audioread,https://github.com/beetbox/audioread,MIT,2011-11-08 19:53:18.000000,2020-12-08 20:08:37.201000,2020-10-20 11:22:05.000000,83,31.0,44.0,359,232.0,cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python.,20.0,27,True,2020-10-20 11:23:09.000000,2.1.9,25.0,audioread,conda-forge/audioread,,,,4832.0,4246.0,https://pypi.org/project/audioread,2020-10-20 11:23:09.000000,586.0,225688.0,229360.0,https://anaconda.org/conda-forge/audioread,2020-12-08 20:08:37.201000,201981.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n235,CNTK,microsoft/CNTK,,ml-frameworks,https://github.com/microsoft/CNTK,https://github.com/microsoft/CNTK,MIT,2015-11-26 09:52:06.000000,2020-12-09 22:21:57.000000,2020-03-31 15:55:14.000000,4409,834.0,2519.0,16968,16116.0,\"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.\",266.0,26,True,2019-04-26 14:13:32.000000,2.7,32.0,cntk,,,,,34.0,,https://pypi.org/project/cntk,2020-12-09 22:21:57.000000,34.0,784.0,1007.0,,,,,,,,3.0,13609.0,,,,,,,,,,,,,,,,,,,,,\n236,detectron2,facebookresearch/detectron2,,image,https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000000,2021-02-25 08:18:15.000000,2021-02-25 08:18:07.000000,3848,90.0,2173.0,15120,963.0,Detectron2 is FAIR's next-generation platform for object detection and segmentation.,147.0,26,True,2020-11-06 03:20:56.000000,0.3,7.0,,conda-forge/detectron2,,,['pytorch'],169.0,169.0,,,,,1535.0,https://anaconda.org/conda-forge/detectron2,2020-08-05 13:27:52.058000,13818.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n237,NNI,microsoft/nni,,hyperopt,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44.000000,2021-02-25 14:48:08.000000,2021-02-25 10:36:20.000000,1220,262.0,878.0,9156,1964.0,\"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..\",121.0,26,True,2021-01-14 05:58:03.000000,2.0,37.0,nni,,,,,107.0,91.0,https://pypi.org/project/nni,2021-01-14 05:49:34.000000,16.0,917.0,917.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n238,InsightFace,deepinsight/insightface,,image,https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,MIT,2017-09-01 00:36:51.000000,2021-02-21 15:11:47.000000,2021-02-21 15:11:46.000000,2953,716.0,655.0,8620,1481.0,Face Analysis Project on MXNet.,15.0,26,True,2019-09-07 13:47:11.000000,0.1.5,6.0,insightface,,,,['mxnet'],54.0,52.0,https://pypi.org/project/insightface,2019-09-07 13:47:11.000000,2.0,3066.0,3066.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n239,PyTorch Image Models,rwightman/pytorch-image-models,,image,https://github.com/rwightman/pytorch-image-models,https://github.com/rwightman/pytorch-image-models,Apache-2.0,2019-02-02 05:51:12.000000,2021-02-25 11:58:08.000000,2021-02-19 00:12:53.000000,1070,27.0,238.0,7542,719.0,\"PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2,..\",29.0,26,True,2021-02-18 08:02:36.000000,0.1-dnf-weights,17.0,,,,,['pytorch'],329.0,329.0,,,,,11972.0,,,,,,,,2.0,251431.0,,,,,,,,,,,,,,,,,,,,,\n240,PySyft,OpenMined/PySyft,,privacy-ml,https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,Apache-2.0,2017-07-18 20:41:16.000000,2021-02-25 11:07:26.000000,2021-02-25 08:08:09.000000,1571,189.0,2541.0,6890,6515.0,A library for answering questions using data you cannot see.,352.0,26,True,2020-11-12 19:57:58.000000,0.3.0,49.0,syft,,,,['pytorch'],6.0,,https://pypi.org/project/syft,2020-11-12 19:57:58.000000,6.0,1214.0,1214.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n241,backtrader,mementum/backtrader,,financial-data,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52.000000,2021-02-24 08:29:30.000000,2021-02-11 20:51:09.000000,1799,18.0,,5778,2383.0,Python Backtesting library for trading strategies.,51.0,26,False,,,155.0,backtrader,,,,,534.0,464.0,https://pypi.org/project/backtrader,2020-07-03 13:02:14.000000,70.0,12688.0,12688.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n242,carla,carla-simulator/carla,,others,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000000,2021-02-25 15:26:51.000000,2021-02-16 14:27:47.000000,1666,322.0,2692.0,5634,4760.0,Open-source simulator for autonomous driving research.,122.0,26,True,2020-12-23 07:08:35.000000,0.9.11,22.0,carla,,,,,64.0,60.0,https://pypi.org/project/carla,2019-04-28 17:45:24.000000,4.0,348.0,348.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n243,auto-sklearn,automl/auto-sklearn,,hyperopt,https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10.000000,2021-02-24 21:32:41.000000,2021-02-17 13:53:31.000000,980,126.0,582.0,5229,2424.0,Automated Machine Learning with scikit-learn.,63.0,26,True,2021-02-17 13:56:10.000000,0.12.3,27.0,auto-sklearn,,,,['sklearn'],161.0,131.0,https://pypi.org/project/auto-sklearn,2021-02-17 13:54:45.000000,30.0,4303.0,4303.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n244,DeepPavlov,deepmipt/DeepPavlov,,nlp,https://github.com/deepmipt/DeepPavlov,https://github.com/deepmipt/DeepPavlov,Apache-2.0,2017-11-17 14:35:29.000000,2021-02-21 10:44:42.000000,2020-12-24 16:30:15.000000,891,92.0,450.0,5031,2579.0,An open source library for deep learning end-to-end dialog systems and chatbots.,61.0,26,True,2020-12-24 16:35:56.000000,0.14.0,41.0,deeppavlov,,,,['tensorflow'],180.0,176.0,https://pypi.org/project/deeppavlov,2020-12-24 16:33:49.000000,4.0,4909.0,4909.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n245,Datasette,simonw/datasette,,others,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000000,2021-02-25 00:22:34.000000,2021-02-23 00:22:47.000000,256,231.0,757.0,4748,1584.0,An open source multi-tool for exploring and publishing data.,42.0,26,True,2021-02-19 02:02:29.000000,0.55,91.0,datasette,,,,,444.0,374.0,https://pypi.org/project/datasette,2021-02-19 02:07:42.000000,70.0,4549.0,4549.0,,,,,,,,2.0,29.0,,-1.0,,,,,,,datasette,,,,,,,,,,,,\n246,scikit-surprise,NicolasHug/Surprise,,recommender-systems,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38.000000,2020-10-13 01:22:58.850000,2020-08-05 17:45:59.000000,828,35.0,285.0,4714,622.0,A Python scikit for building and analyzing recommender systems.,38.0,26,True,2020-07-19 14:50:48.000000,1.1.1,9.0,scikit-surprise,conda-forge/scikit-surprise,,,,968.0,920.0,https://pypi.org/project/scikit-surprise,2020-07-19 14:50:48.000000,48.0,19917.0,24187.0,https://anaconda.org/conda-forge/scikit-surprise,2020-10-13 01:22:58.850000,158019.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n247,OCRmyPDF,jbarlow83/OCRmyPDF,,ocr,https://github.com/jbarlow83/OCRmyPDF,https://github.com/jbarlow83/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000000,2021-02-20 00:55:35.000000,2021-02-20 00:55:35.000000,431,93.0,575.0,3906,2845.0,\"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.\",50.0,26,True,2021-02-15 10:20:48.000000,11.6.2,161.0,ocrmypdf,,,,,128.0,116.0,https://pypi.org/project/ocrmypdf,2021-02-15 10:20:48.000000,12.0,7542.0,7542.0,,,,,,,,2.0,,,,,,,,,,ocrmypdf,ocrmypdf,,,,,,,,,,,\n248,skorch,skorch-dev/skorch,,ml-frameworks,https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000000,2021-02-07 15:39:41.000000,2021-02-07 15:39:41.000000,280,46.0,320.0,3792,945.0,A scikit-learn compatible neural network library that wraps PyTorch.,39.0,26,True,2020-08-30 10:46:40.000000,0.9.0,12.0,skorch,conda-forge/skorch,,,\"['pytorch', 'sklearn']\",300.0,274.0,https://pypi.org/project/skorch,2020-08-30 10:43:37.000000,26.0,5784.0,12415.0,https://anaconda.org/conda-forge/skorch,2020-09-19 04:12:07.576000,192317.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n249,pyAudioAnalysis,tyiannak/pyAudioAnalysis,,audio,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13.000000,2021-02-23 11:34:10.000000,2021-02-19 08:50:12.000000,963,165.0,106.0,3779,676.0,\"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.\",23.0,26,True,2020-09-29 21:30:02.000000,0.3.6,15.0,pyAudioAnalysis,,,,,205.0,183.0,https://pypi.org/project/pyAudioAnalysis,2020-09-29 21:30:02.000000,22.0,7429.0,7429.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n250,mlpack,mlpack/mlpack,,ml-frameworks,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59.000000,2021-02-25 12:46:43.000000,2021-02-21 18:50:49.000000,1314,147.0,1203.0,3569,25959.0,mlpack: a scalable C++ machine learning library --.,265.0,26,True,2020-10-28 18:28:47.000000,3.4.2,40.0,mlpack,conda-forge/mlpack,,,,0.0,,https://pypi.org/project/mlpack,2020-10-28 18:28:47.000000,0.0,67.0,2193.0,https://anaconda.org/conda-forge/mlpack,2020-10-29 09:35:18.918000,65912.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n251,pyfolio,quantopian/pyfolio,,financial-data,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39.000000,2020-07-29 16:06:37.000000,2020-07-15 13:46:58.000000,1112,125.0,263.0,3511,1184.0,Portfolio and risk analytics in Python.,55.0,26,True,2019-04-15 15:00:21.000000,0.9.2,22.0,pyfolio,conda-forge/pyfolio,,,,257.0,203.0,https://pypi.org/project/pyfolio,2019-04-15 15:00:21.000000,54.0,4398.0,4555.0,https://anaconda.org/conda-forge/pyfolio,2020-05-16 14:11:57.267000,5656.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n252,Perspective,finos/perspective,,data-viz,https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000000,2021-02-24 23:58:16.000000,2021-02-21 18:23:53.000000,350,77.0,309.0,3227,4355.0,Streaming pivot visualization via WebAssembly.,62.0,26,True,2021-02-24 14:38:08.000000,0.6.1,40.0,perspective-python,,,,['jupyter'],186.0,178.0,https://pypi.org/project/perspective-python,2021-02-24 14:38:08.000000,8.0,462.0,2416.0,,,,,,,,3.0,,,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2021-02-12 04:20:19.050000,,1954.0,,,,,,,,,,,,,,\n253,AutoGluon,awslabs/autogluon,,hyperopt,https://github.com/awslabs/autogluon,https://github.com/awslabs/autogluon,Apache-2.0,2019-07-29 18:51:24.000000,2021-02-25 15:00:08.000000,2021-02-25 01:43:35.000000,392,93.0,296.0,3004,530.0,\"AutoGluon: AutoML for Text, Image, and Tabular Data.\",53.0,26,True,2020-12-08 19:01:22.000000,0.0.15,337.0,autogluon,,,,['mxnet'],46.0,46.0,https://pypi.org/project/autogluon,2021-02-24 09:14:44.000000,0.0,11608.0,11608.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n254,textract,deanmalmgren/textract,,data-loading,https://github.com/deanmalmgren/textract,https://github.com/deanmalmgren/textract,MIT,2014-07-03 20:36:59.000000,2021-02-15 14:04:11.000000,2019-11-14 08:37:39.000000,424,84.0,121.0,2960,556.0,extract text from any document. no muss. no fuss.,30.0,26,False,2019-08-26 15:05:53.000000,1.6.3,15.0,textract,conda-forge/textract,,,,192.0,,https://pypi.org/project/textract,2019-08-26 15:05:53.000000,192.0,18605.0,18804.0,https://anaconda.org/conda-forge/textract,2017-03-20 21:15:33.254000,10577.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n255,ftfy,LuminosoInsight/python-ftfy,,nlp,https://github.com/LuminosoInsight/python-ftfy,https://github.com/LuminosoInsight/python-ftfy,MIT,2012-08-24 16:14:59.000000,2021-02-24 18:35:03.000000,2021-02-11 19:54:35.000000,101,11.0,98.0,2893,524.0,\"Fixes mojibake and other glitches in Unicode text, after the fact.\",17.0,26,True,2020-02-18 16:42:00.000000,5.6.1,42.0,ftfy,conda-forge/ftfy,,,,3575.0,2815.0,https://pypi.org/project/ftfy,2021-02-11 19:55:25.000000,760.0,274713.0,276782.0,https://anaconda.org/conda-forge/ftfy,2021-01-20 08:08:09.562000,95214.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n256,nevergrad,facebookresearch/nevergrad,,hyperopt,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000000,2021-02-25 13:57:55.000000,2021-02-23 13:46:28.000000,272,80.0,122.0,2839,783.0,A Python toolbox for performing gradient-free optimization.,42.0,26,True,2021-01-28 12:05:40.000000,0.4.3,27.0,nevergrad,conda-forge/nevergrad,,,,149.0,135.0,https://pypi.org/project/nevergrad,2021-01-28 12:05:40.000000,14.0,10071.0,10697.0,https://anaconda.org/conda-forge/nevergrad,2020-12-14 18:21:29.267000,6262.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n257,DeepChem,deepchem/deepchem,,others,https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000000,2021-02-25 12:09:53.000000,2021-02-25 08:51:26.000000,924,346.0,858.0,2758,6227.0,\"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.\",149.0,26,True,2021-01-13 21:21:38.000000,2.4.0,215.0,deepchem,,,,['tensorflow'],41.0,37.0,https://pypi.org/project/deepchem,2021-02-25 08:53:51.000000,4.0,1465.0,1465.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n258,Catalyst,catalyst-team/catalyst,,ml-experiments,https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13.000000,2021-02-25 06:37:15.000000,2021-01-21 11:13:00.000000,281,13.0,268.0,2448,1469.0,Accelerated deep learning R&D.,81.0,26,True,2020-12-20 10:12:32.000000,20.12,88.0,catalyst,,,,['pytorch'],347.0,309.0,https://pypi.org/project/catalyst,2021-02-03 07:06:09.000000,38.0,4479.0,4479.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n259,pygal,Kozea/pygal,,graph,https://github.com/Kozea/pygal,https://github.com/Kozea/pygal,LGPL-3.0,2011-09-23 10:17:50.000000,2020-12-24 20:11:00.000000,2020-10-14 16:41:45.000000,380,164.0,240.0,2325,1012.0,PYthon svg GrAph plotting Library.,69.0,26,False,2017-07-05 09:22:41.000000,2.4.0,74.0,pygal,conda-forge/pygal,,,,1152.0,,https://pypi.org/project/pygal,2020-10-14 13:06:35.000000,1152.0,45884.0,46174.0,https://anaconda.org/conda-forge/pygal,2019-06-04 02:55:56.728000,5811.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n260,gpustat,wookayin/gpustat,,gpu-utilities,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43.000000,2021-02-01 09:12:28.000000,2021-01-13 04:00:20.000000,183,20.0,49.0,2242,166.0,A simple command-line utility for querying and monitoring GPU status.,10.0,26,True,2019-07-22 06:37:00.000000,0.6.0,11.0,gpustat,conda-forge/gpustat,,,,702.0,644.0,https://pypi.org/project/gpustat,2021-01-02 05:59:41.000000,58.0,150138.0,151157.0,https://anaconda.org/conda-forge/gpustat,2020-11-24 19:59:04.772000,23443.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n261,GluonNLP,dmlc/gluon-nlp,,nlp,https://github.com/dmlc/gluon-nlp,https://github.com/dmlc/gluon-nlp,Apache-2.0,2018-04-04 20:57:13.000000,2021-02-25 00:55:27.000000,2021-02-22 02:13:01.000000,508,252.0,288.0,2227,824.0,\"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..\",81.0,26,True,2020-08-13 19:17:42.000000,0.10.0,26.0,gluonnlp,,,,['mxnet'],431.0,409.0,https://pypi.org/project/gluonnlp,2020-08-13 19:17:42.000000,22.0,23487.0,23487.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n262,Captum,pytorch/captum,,interpretability,https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000000,2021-02-24 16:44:55.000000,2021-02-18 02:04:40.000000,216,51.0,156.0,2167,792.0,Model interpretability and understanding for PyTorch.,69.0,26,True,2021-01-23 18:11:12.000000,0.3.1,5.0,captum,,,,['pytorch'],124.0,124.0,https://pypi.org/project/captum,2021-01-22 20:55:47.000000,0.0,8145.0,8145.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n263,Core ML Tools,apple/coremltools,,model-serialisation,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000000,2021-02-25 00:53:12.000000,2021-02-25 00:52:56.000000,340,330.0,327.0,2119,860.0,\"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.\",109.0,26,True,2021-02-05 02:07:15.000000,4.1,28.0,coremltools,,,,,731.0,465.0,https://pypi.org/project/coremltools,2021-02-05 01:28:44.000000,266.0,27496.0,27556.0,,,,,,,,1.0,2483.0,,,,,,,,,,,,,,,,,,,,,\n264,aubio,aubio/aubio,,audio,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44.000000,2021-01-19 16:59:52.641000,2021-01-19 09:51:49.000000,296,106.0,173.0,2051,4111.0,a library for audio and music analysis.,24.0,26,False,2019-02-27 09:00:43.000000,0.4.9,10.0,aubio,conda-forge/aubio,,,,249.0,213.0,https://pypi.org/project/aubio,2019-02-08 11:21:02.000000,36.0,1108.0,9427.0,https://anaconda.org/conda-forge/aubio,2021-01-19 16:59:52.641000,391023.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n265,TextDistance,life4/textdistance,,nlp,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10.000000,2021-01-29 15:41:57.288000,2021-01-29 09:03:55.000000,165,9.0,,1917,304.0,\"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..\",9.0,26,True,2021-01-29 09:04:46.000000,.4.2.1,21.0,textdistance,conda-forge/textdistance,,,,393.0,365.0,https://pypi.org/project/textdistance,2021-01-29 09:03:27.000000,28.0,110144.0,110897.0,https://anaconda.org/conda-forge/textdistance,2021-01-29 15:41:57.288000,24787.0,,,,,2.0,102.0,,,,,,,,,,,,,,,,,,,,,\n266,BoTorch,pytorch/botorch,,hyperopt,https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000000,2021-02-25 14:46:23.000000,2021-02-25 14:46:17.000000,183,50.0,131.0,1844,848.0,Bayesian optimization in PyTorch.,51.0,26,True,2021-02-23 21:33:59.000000,0.4.0,16.0,botorch,,,,['pytorch'],88.0,88.0,https://pypi.org/project/botorch,2020-12-08 06:47:25.000000,0.0,27711.0,27711.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n267,Foolbox,bethgelab/foolbox,,adversarial,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48.000000,2021-02-23 22:41:42.000000,2021-02-23 07:07:05.000000,322,47.0,264.0,1796,1641.0,\"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.\",31.0,26,True,2021-02-23 07:09:34.000000,3.3.1,68.0,foolbox,,,,,189.0,171.0,https://pypi.org/project/foolbox,2021-02-23 07:07:53.000000,18.0,1199.0,1199.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n268,PyFunctional,EntilZha/PyFunctional,,data-pipelines,https://github.com/EntilZha/PyFunctional,https://github.com/EntilZha/PyFunctional,MIT,2015-02-05 17:17:51.000000,2021-01-12 19:21:06.000000,2021-01-12 19:14:24.000000,99,2.0,115.0,1789,516.0,Python library for creating data pipelines with chain functional programming.,23.0,26,True,2021-01-12 19:21:07.000000,1.4.3,14.0,pyfunctional,,,,,263.0,263.0,https://pypi.org/project/pyfunctional,2021-01-12 19:14:48.000000,0.0,29409.0,29409.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n269,langid,saffsd/langid.py,,nlp,https://github.com/saffsd/langid.py,https://github.com/saffsd/langid.py,BSD-3-Clause,2011-04-29 00:16:56.000000,2020-01-01 10:49:30.000000,2017-07-15 02:49:17.000000,265,25.0,45.0,1731,242.0,Stand-alone language identification system.,9.0,26,False,2016-04-05 22:34:15.000000,1.1.6,8.0,langid,,,,,873.0,623.0,https://pypi.org/project/langid,2016-04-05 22:34:15.000000,250.0,330552.0,330552.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n270,textacy,chartbeat-labs/textacy,,nlp,https://github.com/chartbeat-labs/textacy,https://github.com/chartbeat-labs/textacy,Apache-2.0,2016-02-03 16:52:45.000000,2021-02-09 13:36:10.000000,2021-01-09 19:21:48.000000,214,33.0,194.0,1612,1332.0,\"NLP, before and after spaCy.\",29.0,26,True,2020-08-29 20:51:28.000000,0.10.1,29.0,textacy,conda-forge/textacy,,,,154.0,,https://pypi.org/project/textacy,2020-08-29 20:51:28.000000,154.0,47743.0,49460.0,https://anaconda.org/conda-forge/textacy,2020-11-19 15:32:56.211000,77282.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n271,tesserocr,sirfz/tesserocr,,ocr,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36.000000,2021-01-18 20:15:27.000000,2021-01-18 20:15:13.000000,196,61.0,146.0,1405,155.0,A Python wrapper for the tesseract-ocr API.,23.0,26,True,2020-03-17 17:45:44.000000,2.5.1,15.0,tesserocr,conda-forge/tesserocr,,,,566.0,466.0,https://pypi.org/project/tesserocr,2020-03-17 17:45:44.000000,100.0,35628.0,37862.0,https://anaconda.org/conda-forge/tesserocr,2021-01-13 16:38:14.456000,35755.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n272,hnswlib,nmslib/hnswlib,,nn-search,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000000,2021-02-25 06:40:20.000000,2021-02-04 04:34:33.000000,251,82.0,108.0,1361,275.0,Header-only C++/python library for fast approximate nearest neighbors.,41.0,26,True,2021-02-04 04:55:19.000000,0.5.1,5.0,hnswlib,,,,,100.0,98.0,https://pypi.org/project/hnswlib,2021-02-04 04:55:19.000000,2.0,10201.0,10201.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n273,TFX,tensorflow/tfx,,data-pipelines,https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000000,2021-02-25 08:40:38.000000,2021-02-25 01:58:50.000000,396,231.0,324.0,1334,3165.0,TFX is an end-to-end platform for deploying production ML pipelines.,104.0,26,True,2021-02-09 22:50:27.000000,0.27.0,41.0,tfx,,,,['tensorflow'],4.0,,https://pypi.org/project/tfx,2021-02-09 22:50:27.000000,4.0,67912.0,67912.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n274,agate,wireservice/agate,,others,https://github.com/wireservice/agate,https://github.com/wireservice/agate,MIT,2014-04-25 13:59:09.000000,2021-02-22 23:09:37.000000,2020-04-01 15:40:18.000000,132,54.0,588.0,1031,1355.0,A Python data analysis library that is optimized for humans instead of machines.,47.0,26,True,2018-03-11 14:37:30.000000,1.6.1,24.0,agate,conda-forge/agate,,,,746.0,504.0,https://pypi.org/project/agate,2018-03-11 14:37:30.000000,242.0,163676.0,164936.0,https://anaconda.org/conda-forge/agate,2018-08-19 06:02:58.597000,60494.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n275,TF Model Optimization,tensorflow/model-optimization,,tensorflow-utils,https://github.com/tensorflow/model-optimization,https://github.com/tensorflow/model-optimization,Apache-2.0,2018-10-31 20:34:28.000000,2021-02-19 10:29:32.000000,2021-02-19 01:39:25.000000,217,72.0,91.0,976,482.0,\"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.\",43.0,26,True,2020-09-14 04:46:03.000000,0.5.0,20.0,tensorflow-model-optimization,,,,['tensorflow'],610.0,604.0,https://pypi.org/project/tensorflow-model-optimization,2020-09-14 04:36:08.000000,6.0,48213.0,48213.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n276,pmdarima,alkaline-ml/pmdarima,,time-series-data,https://github.com/alkaline-ml/pmdarima,https://github.com/alkaline-ml/pmdarima,MIT,2017-03-30 14:58:30.000000,2021-02-24 12:56:43.000000,2021-02-24 12:47:29.000000,154,18.0,209.0,819,1026.0,\"A statistical library designed to fill the void in Python's time series analysis capabilities, including the..\",17.0,26,True,2020-12-02 23:17:04.000000,1.8.0,28.0,pmdarima,,,,,776.0,764.0,https://pypi.org/project/pmdarima,2020-12-02 23:17:04.000000,12.0,167081.0,167081.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n277,pyclustering,annoviko/pyclustering,,others,https://github.com/annoviko/pyclustering,https://github.com/annoviko/pyclustering,BSD-3-Clause,2014-02-25 18:59:03.000000,2021-02-12 23:22:26.000000,2021-02-12 19:04:59.000000,186,53.0,584.0,798,2079.0,\"pyclustring is a Python, C++ data mining library.\",26.0,26,True,2020-11-25 22:33:07.000000,0.10.1.2,46.0,pyclustering,conda-forge/pyclustering,,,,217.0,181.0,https://pypi.org/project/pyclustering,2020-11-25 22:41:20.000000,36.0,18667.0,19721.0,https://anaconda.org/conda-forge/pyclustering,2021-01-25 21:14:55.053000,14696.0,,,,,2.0,291.0,,,,,,,,,,,,,,,,,,,,,\n278,PyVista,pyvista/pyvista,,data-viz,https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000000,2021-02-24 16:30:08.000000,2021-02-24 16:30:06.000000,142,131.0,288.0,705,2125.0,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,55.0,26,True,2021-02-04 05:34:23.000000,0.28.1,37.0,pyvista,conda-forge/pyvista,,,['jupyter'],286.0,260.0,https://pypi.org/project/pyvista,2021-02-04 05:34:23.000000,26.0,9797.0,12797.0,https://anaconda.org/conda-forge/pyvista,2021-02-04 15:46:30.334000,62986.0,,,,,3.0,63.0,,,,,,,,,,,,,,,,,,,,,\n279,pythreejs,jupyter-widgets/pythreejs,,data-viz,https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,BSD-3-Clause,2013-12-23 17:02:11.000000,2021-02-25 00:29:45.000000,2021-02-24 10:07:17.000000,156,60.0,139.0,703,1653.0,A Jupyter - Three.js bridge.,27.0,26,True,2020-10-09 09:40:47.000000,2.2.1,42.0,pythreejs,conda-forge/pythreejs,,,['jupyter'],49.0,15.0,https://pypi.org/project/pythreejs,2020-10-09 09:40:47.000000,26.0,5434.0,16846.0,https://anaconda.org/conda-forge/pythreejs,2020-10-12 12:24:08.446000,270887.0,,,,,3.0,,,2.0,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,2020-03-19 11:22:13.041000,8.0,6660.0,,,,,,,,,,,,,,\n280,TensorFlow Text,tensorflow/text,,nlp,https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000000,2021-02-25 06:40:17.000000,2021-02-24 22:47:23.000000,87,42.0,85.0,696,358.0,Making text a first-class citizen in TensorFlow.,34.0,26,True,2021-01-13 04:36:01.000000,2.4.3,32.0,tensorflow-text,,,,['tensorflow'],495.0,491.0,https://pypi.org/project/tensorflow-text,2021-01-13 04:24:47.000000,4.0,124411.0,124411.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n281,zarr,zarr-developers/zarr-python,,data-containers,https://github.com/zarr-developers/zarr-python,https://github.com/zarr-developers/zarr-python,MIT,2015-12-15 14:49:40.000000,2021-02-21 13:59:47.000000,2021-02-19 07:47:02.000000,107,179.0,229.0,645,1384.0,\"An implementation of chunked, compressed, N-dimensional arrays for Python.\",35.0,26,True,2020-12-02 18:33:13.000000,2.6.1,31.0,zarr,conda-forge/zarr,,,,645.0,573.0,https://pypi.org/project/zarr,2020-12-02 18:33:13.000000,72.0,32159.0,42442.0,https://anaconda.org/conda-forge/zarr,2020-12-03 02:31:13.848000,586146.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n282,geojson,jazzband/geojson,,geospatial-data,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48.000000,2020-11-25 21:55:02.000000,2020-11-25 19:10:27.000000,81,20.0,50.0,599,445.0,Python bindings and utilities for GeoJSON.,44.0,26,True,2019-08-09 20:32:15.000000,2.5.0,28.0,geojson,conda-forge/geojson,,,,7709.0,5875.0,https://pypi.org/project/geojson,2019-08-09 20:32:15.000000,1834.0,314085.0,320403.0,https://anaconda.org/conda-forge/geojson,2019-08-11 12:10:34.426000,372812.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n283,SMAC3,automl/SMAC3,,hyperopt,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-3-Clause,2016-08-17 10:58:05.000000,2021-02-24 20:31:08.000000,2020-10-29 10:14:55.000000,153,76.0,251.0,561,1888.0,Sequential Model-based Algorithm Configuration.,30.0,26,True,2020-10-29 10:57:56.000000,0.13.1,29.0,smac,,,,,58.0,,https://pypi.org/project/smac,2020-10-29 10:57:56.000000,58.0,8177.0,8177.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n284,inflect,jaraco/inflect,,nlp,https://github.com/jaraco/inflect,https://github.com/jaraco/inflect,MIT,2010-06-20 13:43:13.000000,2021-02-24 02:34:17.000000,2021-02-24 02:34:15.000000,58,11.0,62.0,484,,\"Correctly generate plurals, ordinals, indefinite articles; convert numbers to words.\",28.0,26,True,2021-02-24 01:10:37.000000,5.2.0,32.0,inflect,conda-forge/inflect,,,,1388.0,,https://pypi.org/project/inflect,2021-02-24 01:10:22.000000,1388.0,725661.0,728492.0,https://anaconda.org/conda-forge/inflect,2021-01-08 13:09:35.481000,130250.0,,,,,2.0,,,-2.0,,,,,,,,,,,,,,,,,,,\n285,TensorFlow I/O,tensorflow/io,,tensorflow-utils,https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05.000000,2021-02-18 20:11:35.000000,2021-02-13 21:39:38.000000,150,112.0,276.0,420,1368.0,\"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.\",72.0,26,True,2020-12-15 00:45:37.000000,0.17.0,21.0,tensorflow-io,,,,['tensorflow'],117.0,117.0,https://pypi.org/project/tensorflow-io,2020-12-15 00:42:35.000000,0.0,29844.0,29844.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n286,spleeter,deezer/spleeter,,audio,https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000000,2021-02-17 00:41:46.000000,2021-02-12 20:10:09.000000,1602,92.0,438.0,15651,440.0,Deezer source separation library including pretrained models.,17.0,25,True,2021-01-08 18:22:28.000000,2.1.2,30.0,spleeter,conda-forge/spleeter,,,['tensorflow'],0.0,,https://pypi.org/project/spleeter,2021-01-08 18:22:28.000000,0.0,3855.0,65818.0,https://anaconda.org/conda-forge/spleeter,2020-06-30 14:33:43.220000,43881.0,,,,,3.0,944608.0,,,,,,,,,,,,,,,,,,,,,\n287,MMDetection,open-mmlab/mmdetection,,image,https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000000,2021-02-25 13:40:55.000000,2021-02-25 12:32:13.000000,4738,339.0,3077.0,13715,1450.0,OpenMMLab Detection Toolbox and Benchmark.,192.0,25,True,2021-02-01 05:52:50.000000,2.9.0,9.0,,,,,['pytorch'],27.0,27.0,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n288,Ludwig,ludwig-ai/ludwig,,ml-frameworks,https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000000,2021-02-24 16:51:02.000000,2021-02-21 23:29:27.000000,887,116.0,412.0,7569,2060.0,Ludwig is a toolbox that allows to train and evaluate deep learning models without the need to write code.,86.0,25,True,2021-02-01 00:23:30.000000,0.3.3,17.0,ludwig,,,,['tensorflow'],92.0,80.0,https://pypi.org/project/ludwig,2021-02-01 00:16:18.000000,12.0,804.0,804.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n289,ParlAI,facebookresearch/ParlAI,,nlp,https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44.000000,2021-02-25 00:48:49.000000,2021-02-24 14:43:51.000000,1439,90.0,849.0,7001,3631.0,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,142.0,25,True,2021-01-19 19:10:47.000000,1.0.0,13.0,parlai,,,,['pytorch'],10.0,10.0,https://pypi.org/project/parlai,2021-01-19 19:10:47.000000,,846.0,846.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n290,Facets Overview,pair-code/facets,,data-viz,https://github.com/PAIR-code/facets,https://github.com/PAIR-code/facets,Apache-2.0,2017-07-07 14:03:03.000000,2021-02-04 17:22:42.000000,2021-02-04 17:22:41.000000,834,76.0,75.0,6509,262.0,Visualizations for machine learning datasets.,28.0,25,True,2019-07-24 15:57:06.000000,1.0.0,4.0,facets-overview,,,,['jupyter'],45.0,39.0,https://pypi.org/project/facets-overview,2019-07-24 15:57:06.000000,6.0,27512.0,27512.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n291,PyText,facebookresearch/pytext,,nlp,https://github.com/facebookresearch/pytext,https://github.com/facebookresearch/pytext,BSD-3-Clause,2018-07-31 23:40:46.000000,2021-02-25 04:53:16.000000,2021-02-25 04:53:10.000000,787,131.0,74.0,6138,1424.0,A natural language modeling framework based on PyTorch.,159.0,25,True,2020-06-08 23:30:58.000000,0.3.3,13.0,pytext-nlp,,,,['pytorch'],66.0,65.0,https://pypi.org/project/pytext-nlp,2020-06-08 22:49:33.000000,1.0,267.0,275.0,,,,,,,,2.0,222.0,,,,,,,,,,,,,,,,,,,,,\n292,Trax,google/trax,,others,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000000,2021-02-25 14:47:23.000000,2021-02-25 14:47:15.000000,539,62.0,103.0,5813,1358.0,Trax Deep Learning with Clear Code and Speed.,57.0,25,True,2020-12-18 17:22:13.000000,1.3.7,20.0,trax,,,,,22.0,22.0,https://pypi.org/project/trax,2020-12-18 17:22:13.000000,,2000.0,2000.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n293,featuretools,alteryx/featuretools,,hyperopt,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17.000000,2021-02-25 09:53:15.000000,2021-02-19 19:27:40.000000,696,111.0,406.0,5422,,An open source python library for automated feature engineering.,49.0,25,True,2021-01-29 21:44:27.000000,0.23.1,65.0,featuretools,conda-forge/featuretools,,,,746.0,676.0,https://pypi.org/project/featuretools,2021-01-29 21:44:27.000000,70.0,46616.0,48373.0,https://anaconda.org/conda-forge/featuretools,2021-02-01 15:41:42.671000,45700.0,,,,,2.0,,,-2.0,,,,,,,,,,,,,,,,,,,\n294,Milvus,milvus-io/milvus,,nn-search,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000000,2021-02-25 13:03:24.000000,2021-02-25 02:04:01.000000,801,218.0,1965.0,5142,5575.0,\"An open source embedding vector similarity search engine powered by Faiss, NMSLIB and Annoy.\",134.0,25,True,2021-02-23 02:50:59.000000,0.10.6,44.0,pymilvus,,milvusdb/milvus,,,6.0,,https://pypi.org/project/pymilvus,2021-01-21 05:32:04.000000,6.0,4420.0,19362.0,,,,https://hub.docker.com/r/milvusdb/milvus,2021-02-22 02:11:41.310152,9.0,254016.0,2.0,,,,,,,,,,,,,,,,,,,,,,\n295,PyTorch3D,facebookresearch/pytorch3d,,image,https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,MIT,2019-10-25 02:23:45.000000,2021-02-25 05:52:18.000000,2021-02-25 05:52:12.000000,505,61.0,433.0,4453,394.0,PyTorch3D is FAIR's library of reusable components for deep learning with 3D data.,54.0,25,True,2021-02-09 23:13:45.000000,0.4.0,7.0,pytorch3d,pytorch3d/pytorch3d,,,['pytorch'],50.0,50.0,https://pypi.org/project/pytorch3d,2021-02-09 23:13:45.000000,0.0,3998.0,4472.0,https://anaconda.org/pytorch3d/pytorch3d,2021-02-09 22:34:07.773000,7121.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n296,Metaflow,Netflix/metaflow,,ml-experiments,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000000,2021-02-17 05:22:08.000000,2021-02-17 05:22:08.000000,340,126.0,143.0,4096,189.0,Build and manage real-life data science projects with ease.,29.0,25,True,2021-02-09 01:25:56.000000,2.2.7,17.0,metaflow,conda-forge/metaflow,,,,108.0,106.0,https://pypi.org/project/metaflow,2021-02-09 01:25:56.000000,2.0,3857.0,4692.0,https://anaconda.org/conda-forge/metaflow,2021-02-09 03:50:36.131000,11701.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n297,BigDL,intel-analytics/BigDL,,distributed-ml,https://github.com/intel-analytics/BigDL,https://github.com/intel-analytics/BigDL,Apache-2.0,2016-08-29 07:59:50.000000,2021-01-21 17:42:35.000000,2021-01-21 17:42:34.000000,904,182.0,727.0,3702,2659.0,BigDL: Distributed Deep Learning Framework for Apache Spark.,70.0,25,True,2021-01-05 05:55:32.000000,0.12.1,37.0,bigdl,,,,,29.0,23.0,https://pypi.org/project/bigdl,2020-12-29 06:08:45.000000,6.0,1814.0,1814.0,,,,,,,,2.0,,,,,,,,,,,,,,,com.intel.analytics.bigdl:bigdl-SPARK_2.4,https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4,2020-12-05 03:54:47.000000,0.0,,,,\n298,yellowbrick,DistrictDataLabs/yellowbrick,,interpretability,https://github.com/DistrictDataLabs/yellowbrick,https://github.com/DistrictDataLabs/yellowbrick,Apache-2.0,2016-05-18 14:12:17.000000,2021-02-21 22:47:49.000000,2021-02-13 20:53:07.000000,477,90.0,518.0,3109,848.0,Visual analysis and diagnostic tools to facilitate machine learning model selection.,97.0,25,True,2021-02-13 20:31:18.000000,1.3.post1,22.0,yellowbrick,,,,['sklearn'],62.0,,https://pypi.org/project/yellowbrick,2021-02-13 20:42:26.000000,62.0,45708.0,45708.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n299,TensorForce,tensorforce/tensorforce,,reinforcement-learning,https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22.000000,2021-02-08 19:49:13.000000,2021-02-08 19:48:19.000000,489,7.0,544.0,2880,2017.0,Tensorforce: a TensorFlow library for applied reinforcement learning.,76.0,25,True,2020-10-03 16:00:39.000000,0.6.2,12.0,tensorforce,,,,['tensorflow'],46.0,,https://pypi.org/project/tensorforce,2019-09-07 13:56:18.000000,46.0,610.0,610.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n300,Chartify,spotify/chartify,,data-viz,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05.000000,2021-02-05 18:49:02.000000,2021-02-05 18:49:02.000000,252,40.0,30.0,2842,195.0,Python library that makes it easy for data scientists to create charts.,21.0,25,True,2020-11-02 22:14:08.000000,3.0.3,16.0,chartify,conda-forge/chartify,,,,57.0,52.0,https://pypi.org/project/chartify,2020-11-02 22:14:08.000000,5.0,2421.0,2874.0,https://anaconda.org/conda-forge/chartify,2020-11-07 19:52:50.628000,12245.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n301,vaderSentiment,cjhutto/vaderSentiment,,nlp,https://github.com/cjhutto/vaderSentiment,https://github.com/cjhutto/vaderSentiment,MIT,2014-11-17 16:31:45.000000,2020-07-17 19:47:37.000000,2020-05-22 15:33:43.000000,736,30.0,74.0,2842,122.0,VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based..,10.0,25,True,2020-05-22 15:07:00.000000,3.3.2,15.0,vadersentiment,,,,,2611.0,2325.0,https://pypi.org/project/vadersentiment,2020-05-22 15:07:00.000000,286.0,65707.0,65707.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n302,Hub,activeloopai/Hub,,data-pipelines,https://github.com/activeloopai/Hub,https://github.com/activeloopai/Hub,MPL-2.0,2019-08-09 06:17:59.000000,2021-02-25 13:51:23.000000,2021-02-23 14:33:28.000000,192,119.0,126.0,2483,1696.0,Fastest unstructured dataset management for TensorFlow/PyTorch. Stream data real-time & version-control it...,62.0,25,True,2021-02-17 10:17:11.000000,1.2.2,83.0,hub,,,,\"['tensorflow', 'pytorch']\",171.0,119.0,https://pypi.org/project/hub,2021-02-18 11:09:41.000000,52.0,630.0,630.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n303,Neural Network Libraries,sony/nnabla,,ml-frameworks,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10.000000,2021-02-25 10:08:42.000000,2021-02-25 10:08:42.000000,301,36.0,23.0,2415,2450.0,Neural Network Libraries.,58.0,25,True,2021-01-30 03:35:55.000000,1.16.0,52.0,nnabla,,,,,34.0,,https://pypi.org/project/nnabla,2021-01-29 14:09:09.000000,34.0,1368.0,1380.0,,,,,,,,3.0,521.0,,,,,,,,,,,,,,,,,,,,,\n304,spark-nlp,JohnSnowLabs/spark-nlp,,nlp,https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000000,2021-02-25 14:43:09.000000,2021-02-25 14:43:08.000000,420,72.0,355.0,1964,6921.0,State of the Art Natural Language Processing.,80.0,25,True,2021-02-19 18:42:10.000000,2.7.4,75.0,spark-nlp,,,,['spark'],0.0,,https://pypi.org/project/spark-nlp,2021-02-19 17:47:34.000000,0.0,293974.0,293974.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n305,StellarGraph,stellargraph/stellargraph,,graph,https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51.000000,2021-02-24 03:30:24.000000,2021-02-18 01:03:15.000000,257,219.0,704.0,1769,2515.0,StellarGraph - Machine Learning on Graphs.,32.0,25,True,2020-06-30 05:15:21.000000,1.2.1,25.0,stellargraph,,,,['tensorflow'],51.0,47.0,https://pypi.org/project/stellargraph,2020-06-30 05:10:43.000000,4.0,2928.0,2928.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n306,efficientnet,qubvel/efficientnet,,tensorflow-utils,https://github.com/qubvel/efficientnet,https://github.com/qubvel/efficientnet,Apache-2.0,2019-05-30 20:21:09.000000,2020-12-10 07:02:58.000000,2020-09-15 16:19:36.000000,386,56.0,55.0,1718,64.0,Implementation of EfficientNet model. Keras and TensorFlow Keras.,8.0,25,True,2020-09-15 16:26:00.000000,1.1.1,9.0,efficientnet,,,,['tensorflow'],523.0,519.0,https://pypi.org/project/efficientnet,2020-09-15 16:26:00.000000,4.0,45964.0,53404.0,,,,,,,,3.0,156245.0,,,,,,,,,,,,,,,,,,,,,\n307,pgmpy,pgmpy/pgmpy,,probabilistics,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000000,2021-02-23 07:20:52.000000,2021-02-23 07:20:52.000000,556,224.0,497.0,1712,6.0,Python Library for learning (Structure and Parameter) and inference (Statistical and Causal) in Bayesian Networks.,90.0,25,True,2020-12-30 13:56:53.000000,0.1.13,12.0,pgmpy,,,,,199.0,187.0,https://pypi.org/project/pgmpy,2020-12-30 13:01:04.000000,12.0,16922.0,16928.0,,,,,,,,3.0,54.0,,,,,,,,,,,,,,,,,,,,,\n308,pytorch-optimizer,jettify/pytorch-optimizer,,pytorch-utils,https://github.com/jettify/pytorch-optimizer,https://github.com/jettify/pytorch-optimizer,Apache-2.0,2020-01-03 03:16:39.000000,2021-02-22 10:28:58.000000,2021-02-22 10:27:37.000000,161,9.0,25.0,1710,351.0,torch-optimizer -- collection of optimizers for Pytorch.,19.0,25,True,2021-01-01 16:51:15.000000,0.1.0,19.0,torch_optimizer,,,,['pytorch'],132.0,132.0,https://pypi.org/project/torch_optimizer,2021-01-01 16:51:15.000000,0.0,10407.0,10407.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n309,HyperTools,ContextLab/hypertools,,data-viz,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25.000000,2021-01-06 14:11:39.000000,2021-01-06 14:11:38.000000,151,69.0,122.0,1616,1591.0,A Python toolbox for gaining geometric insights into high-dimensional data.,21.0,25,True,2020-10-02 21:41:53.000000,0.6.3,19.0,hypertools,,,,,112.0,103.0,https://pypi.org/project/hypertools,2020-10-02 21:41:53.000000,9.0,162.0,162.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n310,swifter,jmcarpenter2/swifter,,data-containers,https://github.com/jmcarpenter2/swifter,https://github.com/jmcarpenter2/swifter,MIT,2018-04-07 21:37:19.000000,2020-12-19 19:11:45.000000,2020-12-19 19:11:44.000000,72,15.0,76.0,1557,423.0,A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner.,14.0,25,True,2020-10-11 22:42:57.000000,1.0.7,71.0,swifter,conda-forge/swifter,,,['pandas'],318.0,286.0,https://pypi.org/project/swifter,2020-10-11 22:42:57.000000,32.0,35819.0,39449.0,https://anaconda.org/conda-forge/swifter,2020-09-20 15:08:56.885000,79867.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n311,Pythran,serge-sans-paille/pythran,,others,https://github.com/serge-sans-paille/pythran,https://github.com/serge-sans-paille/pythran,BSD-3-Clause,2012-05-29 08:02:14.000000,2021-02-23 17:34:17.000000,2021-02-23 17:34:17.000000,137,102.0,547.0,1506,3325.0,Ahead of Time compiler for numeric kernels.,48.0,25,True,2020-12-09 20:06:55.000000,0.9.8,45.0,pythran,conda-forge/pythran,,,,74.0,48.0,https://pypi.org/project/pythran,2020-12-11 23:22:49.000000,26.0,3502.0,7438.0,https://anaconda.org/conda-forge/pythran,2021-01-27 16:08:46.611000,129916.0,,,,,2.0,,,,,,,,,,,,,,,,,,,pythran,python-pythran,,\n312,Elephas,maxpumperla/elephas,,distributed-ml,https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19.000000,2021-02-25 10:56:04.000000,2021-02-13 03:53:31.000000,288,23.0,117.0,1450,450.0,Distributed Deep learning with Keras & Spark.,27.0,25,True,2021-02-13 03:54:52.000000,1.4.2,18.0,elephas,,,,\"['keras', 'spark']\",40.0,37.0,https://pypi.org/project/elephas,2021-02-13 03:54:52.000000,3.0,10412.0,10412.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n313,chainercv,chainer/chainercv,,image,https://github.com/chainer/chainercv,https://github.com/chainer/chainercv,MIT,2017-02-13 04:15:10.000000,2020-02-03 01:27:17.000000,2020-01-07 11:48:31.000000,318,54.0,168.0,1429,4930.0,ChainerCV: a Library for Deep Learning in Computer Vision.,39.0,25,False,2019-06-12 11:55:02.000000,0.13.1,24.0,chainercv,,,,,285.0,225.0,https://pypi.org/project/chainercv,2019-06-12 11:55:40.000000,60.0,3454.0,3454.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n314,streamparse,Parsely/streamparse,,data-pipelines,https://github.com/Parsely/streamparse,https://github.com/Parsely/streamparse,Apache-2.0,2014-05-02 20:33:50.000000,2020-12-18 18:44:04.000000,2020-12-18 18:43:59.000000,219,69.0,263.0,1426,1059.0,\"Run Python in Apache Storm topologies. Pythonic API, CLI tooling, and a topology DSL.\",40.0,25,True,2020-10-07 19:53:15.000000,4.0.0,47.0,streamparse,,,,,99.0,47.0,https://pypi.org/project/streamparse,2020-10-07 19:45:19.000000,52.0,1624.0,1624.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n315,haystack,deepset-ai/haystack,,nlp,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000000,2021-02-25 11:51:46.000000,2021-02-24 10:43:40.000000,264,70.0,418.0,1424,553.0,End-to-end Python framework for building natural language search interfaces to data. Leverages Transformers and the..,35.0,25,True,2021-01-21 17:42:17.000000,0.7.0,34.0,haystack,,,,,201.0,35.0,https://pypi.org/project/haystack,2017-07-03 04:44:52.000000,166.0,535.0,535.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n316,Ax,facebook/Ax,,hyperopt,https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000000,2021-02-25 05:42:49.000000,2021-02-24 22:06:25.000000,143,42.0,194.0,1414,939.0,Adaptive Experimentation Platform.,92.0,25,True,2021-02-24 16:59:13.000000,0.1.20,21.0,ax-platform,,,,['pytorch'],143.0,139.0,https://pypi.org/project/ax-platform,2021-02-24 16:59:13.000000,4.0,17821.0,17821.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n317,jellyfish,jamesturk/jellyfish,,nlp,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,BSD-2-Clause,2010-07-09 20:41:11.000000,2021-02-24 10:51:11.000000,2020-12-30 16:47:13.000000,125,10.0,86.0,1406,,a python library for doing approximate and phonetic matching of strings.,20.0,25,True,2020-05-21 20:37:01.000000,0.8.2,27.0,jellyfish,conda-forge/jellyfish,,,,2778.0,2132.0,https://pypi.org/project/jellyfish,2020-05-21 20:37:01.000000,646.0,625945.0,628066.0,https://anaconda.org/conda-forge/jellyfish,2021-01-08 15:04:47.681000,112441.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n318,dtreeviz,parrt/dtreeviz,,interpretability,https://github.com/parrt/dtreeviz,https://github.com/parrt/dtreeviz,MIT,2018-08-13 21:45:15.000000,2021-02-24 21:49:25.000000,2021-02-24 21:49:25.000000,187,15.0,72.0,1400,329.0,A python library for decision tree visualization and model interpretation.,16.0,25,True,2021-01-27 00:33:05.000000,1.1.4,21.0,dtreeviz,,,,,114.0,110.0,https://pypi.org/project/dtreeviz,2021-01-27 00:31:39.000000,4.0,11868.0,11868.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n319,ViZDoom,mwydmuch/ViZDoom,,reinforcement-learning,https://github.com/mwydmuch/ViZDoom,https://github.com/mwydmuch/ViZDoom,MIT,2015-06-26 18:38:23.000000,2021-02-09 10:35:01.000000,2021-02-09 10:35:01.000000,298,87.0,329.0,1169,1464.0,Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information.,44.0,25,True,2020-10-29 15:56:20.000000,1.1.8,19.0,vizdoom,,,,,134.0,110.0,https://pypi.org/project/vizdoom,2020-10-29 15:56:20.000000,24.0,439.0,618.0,,,,,,,,2.0,10596.0,,,,,,,,,,,,,,,,,,,,,\n320,ArcGIS API,Esri/arcgis-python-api,,geospatial-data,https://github.com/Esri/arcgis-python-api,https://github.com/Esri/arcgis-python-api,Apache-2.0,2016-03-16 01:09:14.000000,2021-02-19 07:31:38.000000,2021-01-26 04:34:34.000000,714,115.0,202.0,973,3011.0,Documentation and samples for ArcGIS API for Python.,61.0,25,True,2021-01-27 23:12:21.000000,1.8.4,26.0,arcgis,,esridocker/arcgis-api-python-notebook,,,20.0,,https://pypi.org/project/arcgis,2021-01-27 23:04:37.000000,20.0,12136.0,12205.0,,,,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,2020-03-06 00:53:45.164342,32.0,4085.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n321,arviz,arviz-devs/arviz,,interpretability,https://github.com/arviz-devs/arviz,https://github.com/arviz-devs/arviz,Apache-2.0,2015-07-29 11:51:10.000000,2021-02-25 13:07:21.000000,2021-02-24 22:53:03.000000,187,119.0,430.0,949,,Exploratory analysis of Bayesian models with Python.,73.0,25,True,2021-02-21 19:16:30.000000,0.11.2,22.0,arviz,conda-forge/arviz,,,,760.0,724.0,https://pypi.org/project/arviz,2021-02-06 17:00:36.000000,36.0,92146.0,101602.0,https://anaconda.org/conda-forge/arviz,2021-02-21 21:30:03.812000,198532.0,,,,,2.0,98.0,,,,,,,,,,,,,,,,,,,,,\n322,bcolz,Blosc/bcolz,,data-containers,https://github.com/Blosc/bcolz,https://github.com/Blosc/bcolz,BSD-3-Clause,2010-08-18 15:27:02.000000,2020-09-10 12:12:51.000000,2020-09-10 12:12:45.000000,115,126.0,122.0,913,1280.0,A columnar data container that can be compressed.,33.0,25,True,2018-04-13 07:44:26.000000,1.2.1,23.0,bcolz,conda-forge/bcolz,,,,2483.0,1515.0,https://pypi.org/project/bcolz,2018-04-13 07:44:26.000000,968.0,13559.0,18110.0,https://anaconda.org/conda-forge/bcolz,2019-11-05 21:09:48.045000,218488.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n323,PySAL,pysal/pysal,,geospatial-data,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42.000000,2021-02-08 21:30:44.240000,2021-02-01 00:35:48.000000,241,58.0,583.0,822,4119.0,PySAL: Python Spatial Analysis Library Meta-Package.,71.0,25,True,2021-02-02 02:59:42.000000,2.4.0,25.0,pysal,conda-forge/pysal,,,,36.0,,https://pypi.org/project/pysal,2021-02-02 02:59:42.000000,36.0,8167.0,15445.0,https://anaconda.org/conda-forge/pysal,2021-02-08 21:30:44.240000,400322.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n324,kmodes,nicodv/kmodes,,others,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40.000000,2021-02-13 03:26:34.000000,2021-02-13 03:21:38.000000,340,19.0,109.0,815,456.0,\"Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data.\",17.0,25,True,2021-02-13 03:34:23.000000,0.11.0,13.0,kmodes,,,,,475.0,449.0,https://pypi.org/project/kmodes,2021-02-13 03:26:34.000000,26.0,42265.0,42265.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n325,empyrical,quantopian/empyrical,,financial-data,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52.000000,2020-10-14 13:28:13.625000,2020-10-14 13:22:39.000000,231,27.0,26.0,727,167.0,Common financial risk and performance metrics. Used by zipline and pyfolio.,22.0,25,True,2020-10-13 21:29:19.000000,0.5.5,21.0,empyrical,conda-forge/empyrical,,,,751.0,529.0,https://pypi.org/project/empyrical,2020-10-13 21:29:19.000000,222.0,17076.0,17345.0,https://anaconda.org/conda-forge/empyrical,2020-10-14 13:28:13.625000,9706.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n326,Satpy,pytroll/satpy,,geospatial-data,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000000,2021-02-25 13:07:15.000000,2021-02-25 07:58:46.000000,193,305.0,302.0,675,8275.0,Python package for earth-observing satellite data processing.,103.0,25,False,2021-01-07 03:03:07.000000,0.25.1,63.0,satpy,conda-forge/satpy,,,,46.0,40.0,https://pypi.org/project/satpy,2021-01-07 03:03:07.000000,6.0,308.0,2057.0,https://anaconda.org/conda-forge/satpy,2021-01-07 15:09:16.887000,54225.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n327,mahotas,luispedro/mahotas,,image,https://github.com/luispedro/mahotas,https://github.com/luispedro/mahotas,MIT,2010-01-31 00:13:06.000000,2021-01-22 05:47:20.379000,2021-01-13 11:55:02.000000,132,16.0,57.0,669,1276.0,Computer Vision in Python.,30.0,25,True,2020-08-16 17:22:48.000000,1.4.11,57.0,mahotas,conda-forge/mahotas,,,,767.0,577.0,https://pypi.org/project/mahotas,2020-08-16 17:22:48.000000,190.0,13728.0,18097.0,https://anaconda.org/conda-forge/mahotas,2021-01-22 05:47:20.379000,257823.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n328,pyahocorasick,WojciechMula/pyahocorasick,,nlp,https://github.com/WojciechMula/pyahocorasick,https://github.com/WojciechMula/pyahocorasick,BSD-3-Clause,2013-05-30 19:55:46.000000,2021-01-26 17:43:38.000000,2021-01-26 17:43:28.000000,88,32.0,66.0,584,410.0,Python module (C extension and plain python) implementing Aho-Corasick algorithm.,20.0,25,True,2021-01-26 17:38:47.000000,1.4.1,23.0,pyahocorasick,conda-forge/pyahocorasick,,,,609.0,505.0,https://pypi.org/project/pyahocorasick,2021-01-26 17:38:47.000000,104.0,115816.0,118746.0,https://anaconda.org/conda-forge/pyahocorasick,2020-10-13 12:20:05.350000,111375.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n329,Intake,intake/intake,,data-loading,https://github.com/intake/intake,https://github.com/intake/intake,BSD-2-Clause,2017-08-14 20:44:22.000000,2021-02-23 16:14:09.000000,2021-02-23 16:14:09.000000,93,76.0,193.0,529,1656.0,\"Intake is a lightweight package for finding, investigating, loading and disseminating data.\",55.0,25,True,2021-02-17 16:43:52.000000,0.6.1,20.0,intake,conda-forge/intake,,,,311.0,237.0,https://pypi.org/project/intake,2021-02-17 16:43:52.000000,74.0,2686.0,4986.0,https://anaconda.org/conda-forge/intake,2021-02-17 18:41:59.119000,62126.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n330,mpi4py,mpi4py/mpi4py,,distributed-ml,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-3-Clause,2013-09-05 14:44:25.000000,2021-02-04 12:14:17.000000,2021-02-04 12:02:09.000000,62,4.0,8.0,384,2219.0,Python bindings for MPI.,13.0,25,True,2020-07-27 06:40:19.000000,3.0.3,13.0,mpi4py,conda-forge/mpi4py,,,,752.0,,https://pypi.org/project/mpi4py,2019-11-04 13:05:10.000000,752.0,124727.0,135124.0,https://anaconda.org/conda-forge/mpi4py,2021-01-19 17:48:43.682000,544609.0,,,,,2.0,857.0,,,,,,,,,,,,,,,,,,,,,\n331,PyNNDescent,lmcinnes/pynndescent,,nn-search,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000000,2021-02-22 15:53:08.000000,2021-02-22 15:53:08.000000,48,30.0,33.0,371,487.0,A Python nearest neighbor descent for approximate nearest neighbors.,13.0,25,True,2021-02-08 20:03:04.000000,0.5.2,21.0,pynndescent,conda-forge/pynndescent,,,,240.0,234.0,https://pypi.org/project/pynndescent,2021-02-08 20:03:04.000000,6.0,76342.0,78827.0,https://anaconda.org/conda-forge/pynndescent,2021-02-09 04:30:06.804000,49700.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n332,python-soundfile,bastibe/python-soundfile,,audio,https://github.com/bastibe/python-soundfile,https://github.com/bastibe/python-soundfile,BSD-3-Clause,2013-08-27 13:36:52.000000,2021-01-13 07:52:51.000000,2020-12-01 18:42:47.000000,42,57.0,87.0,368,493.0,\"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.\",19.0,25,True,2019-12-04 10:03:39.000000,0.10.3post1,7.0,soundfile,,,,,6465.0,5725.0,https://pypi.org/project/soundfile,2019-11-27 12:16:19.000000,740.0,263263.0,263289.0,,,,,,,,3.0,2187.0,,,,,,,,,,,,,,,,,,,,,\n333,hvPlot,holoviz/hvplot,,data-viz,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000000,2021-02-24 18:58:27.000000,2021-01-17 16:07:25.000000,49,107.0,223.0,352,367.0,\"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.\",22.0,25,True,2020-12-16 22:59:26.000000,0.7.0,10.0,hvplot,conda-forge/hvplot,,,,507.0,477.0,https://pypi.org/project/hvplot,2020-11-18 19:40:23.000000,30.0,20125.0,22374.0,https://anaconda.org/conda-forge/hvplot,2021-01-06 23:26:19.353000,67495.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n334,tabulator-py,frictionlessdata/tabulator-py,,data-loading,https://github.com/frictionlessdata/tabulator-py,https://github.com/frictionlessdata/tabulator-py,MIT,2015-08-24 05:34:38.000000,2021-02-24 09:38:30.000000,2021-02-24 09:38:26.000000,41,,177.0,203,653.0,Python library for reading and writing tabular data via streams.,24.0,25,True,2021-02-24 09:38:45.000000,1.53.4,139.0,tabulator,conda-forge/tabulator-py,,,,580.0,476.0,https://pypi.org/project/tabulator,2021-02-11 06:49:57.000000,104.0,56917.0,57792.0,https://anaconda.org/conda-forge/tabulator-py,2018-07-24 12:57:07.018000,38513.0,,,,,3.0,,,-1.0,,,,,,,,,,,,,,,,,,,\n335,NuPIC,numenta/nupic,,ml-frameworks,https://github.com/numenta/nupic,https://github.com/numenta/nupic,AGPL-3.0,2013-04-05 23:14:27.000000,2020-12-11 19:56:36.000000,2019-10-23 20:45:07.000000,1585,456.0,1337.0,6193,6625.0,\"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..\",120.0,24,False,2018-06-01 15:37:54.000000,1.0.5,53.0,nupic,,,,,133.0,95.0,https://pypi.org/project/nupic,2018-06-01 15:37:54.000000,38.0,975.0,975.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n336,keras-rl,keras-rl/keras-rl,,reinforcement-learning,https://github.com/keras-rl/keras-rl,https://github.com/keras-rl/keras-rl,MIT,2016-07-02 15:53:12.000000,2020-11-20 07:32:13.000000,2019-11-11 22:14:54.000000,1284,39.0,211.0,4957,308.0,Deep Reinforcement Learning for Keras.,40.0,24,False,2018-06-01 07:52:24.000000,0.4.2,8.0,keras-rl,,,,['tensorflow'],565.0,463.0,https://pypi.org/project/keras-rl,2018-06-01 07:52:24.000000,102.0,840.0,840.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n337,Edward,blei-lab/edward,,probabilistics,https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05.000000,2019-10-22 20:30:48.000000,2018-07-25 01:28:08.000000,767,212.0,327.0,4602,1796.0,\"A probabilistic programming language in TensorFlow. Deep generative models, variational inference.\",87.0,24,False,2018-01-22 06:03:37.000000,1.3.5,28.0,edward,,,,['tensorflow'],288.0,210.0,https://pypi.org/project/edward,2018-01-22 06:03:05.000000,78.0,466.0,466.0,,,,,,,,3.0,10.0,,,,,,,,,,,,,,,,,,,,,\n338,DeepSpeed,microsoft/DeepSpeed,,distributed-ml,https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,MIT,2020-01-23 18:35:18.000000,2021-02-24 21:51:48.000000,2021-02-24 21:51:48.000000,408,154.0,176.0,4376,438.0,\"DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.\",45.0,24,True,2021-02-02 18:36:29.000000,0.3.11,19.0,deepspeed,,deepspeed/deepspeed,,['pytorch'],10.0,10.0,https://pypi.org/project/deepspeed,2021-02-02 18:36:29.000000,,2969.0,3532.0,,,,https://hub.docker.com/r/deepspeed/deepspeed,2021-02-20 21:35:37.092937,2.0,7321.0,2.0,,,,,,,,,,,,,,,,,,,,,,\n339,Augmentor,mdbloice/Augmentor,,image,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55.000000,2020-11-10 05:20:01.000000,2020-03-09 11:32:02.000000,781,115.0,67.0,4321,511.0,Image augmentation library in Python for machine learning.,22.0,24,True,2020-01-17 11:59:53.000000,0.2.8,20.0,Augmentor,,,,,323.0,281.0,https://pypi.org/project/Augmentor,2020-01-17 11:59:53.000000,42.0,5303.0,5303.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n340,Lucid,tensorflow/lucid,,interpretability,https://github.com/tensorflow/lucid,https://github.com/tensorflow/lucid,Apache-2.0,2018-01-25 17:41:44.000000,2021-01-26 21:54:54.000000,2021-01-26 21:54:53.000000,557,67.0,94.0,4075,636.0,A collection of infrastructure and tools for research in neural network interpretability.,35.0,24,True,2019-01-17 19:46:43.000000,0.3.9-alpha,16.0,lucid,,,,['tensorflow'],481.0,475.0,https://pypi.org/project/lucid,2018-12-20 00:26:11.000000,6.0,545.0,545.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n341,Great Expectations,great-expectations/great_expectations,,data-pipelines,https://github.com/great-expectations/great_expectations,https://github.com/great-expectations/great_expectations,Apache-2.0,2017-09-11 00:18:46.000000,2021-02-25 15:22:07.000000,2021-02-24 23:56:14.000000,465,150.0,619.0,3733,,Always know what to expect from your data.,165.0,24,True,2021-02-25 00:29:50.000000,0.13.11,102.0,great_expectations,,,,,6.0,,https://pypi.org/project/great_expectations,2021-02-25 00:19:55.000000,6.0,257323.0,257323.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n342,TensorFlowOnSpark,yahoo/TensorFlowOnSpark,,distributed-ml,https://github.com/yahoo/TensorFlowOnSpark,https://github.com/yahoo/TensorFlowOnSpark,Apache-2.0,2017-01-20 18:15:57.000000,2021-01-27 02:31:23.000000,2021-01-27 02:31:19.000000,937,9.0,336.0,3629,592.0,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,33.0,24,True,2020-12-18 21:57:51.000000,2.2.2,29.0,tensorflowonspark,,,,\"['tensorflow', 'spark']\",5.0,,https://pypi.org/project/tensorflowonspark,2020-12-18 18:32:09.000000,5.0,46273.0,46273.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n343,espnet,espnet/espnet,,audio,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000000,2021-02-25 15:26:55.000000,2021-02-24 13:08:13.000000,1088,130.0,1085.0,3469,10857.0,End-to-End Speech Processing Toolkit.,141.0,24,True,2021-01-15 08:52:23.000000,0.9.7,32.0,espnet,,,,,6.0,6.0,https://pypi.org/project/espnet,2021-01-15 08:52:23.000000,0.0,713.0,714.0,,,,,,,,3.0,60.0,,,,,,,,,,,,,,,,,,,,,\n344,Snips NLU,snipsco/snips-nlu,,nlp,https://github.com/snipsco/snips-nlu,https://github.com/snipsco/snips-nlu,Apache-2.0,2017-02-08 16:16:36.000000,2020-12-24 12:59:47.000000,2020-02-08 21:49:32.000000,463,51.0,196.0,3453,2153.0,Snips Python library to extract meaning from text.,21.0,24,True,2020-01-15 10:13:17.000000,0.20.2,58.0,snips-nlu,,,,,16.0,,https://pypi.org/project/snips-nlu,2020-01-15 10:13:17.000000,16.0,2952.0,2952.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n345,torchdiffeq,rtqichen/torchdiffeq,,pytorch-utils,https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25.000000,2021-02-06 20:33:16.000000,2021-02-06 20:32:52.000000,584,20.0,109.0,3379,212.0,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,19.0,24,True,2021-02-06 20:33:16.000000,0.2.1,5.0,torchdiffeq,,,,['pytorch'],68.0,68.0,https://pypi.org/project/torchdiffeq,2021-02-06 20:33:16.000000,0.0,1452.0,1452.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n346,T5,google-research/text-to-text-transfer-transformer,,nlp,https://github.com/google-research/text-to-text-transfer-transformer,https://github.com/google-research/text-to-text-transfer-transformer,Apache-2.0,2019-10-17 21:45:14.000000,2021-02-25 04:24:21.000000,2021-02-23 18:44:03.000000,432,34.0,,3221,432.0,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,33.0,24,True,2020-12-18 21:12:02.000000,0.8.1,25.0,t5,,,,['tensorflow'],23.0,23.0,https://pypi.org/project/t5,2020-12-18 21:12:02.000000,0.0,4588.0,4588.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n347,pytorch-summary,sksq96/pytorch-summary,,pytorch-utils,https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04.000000,2020-09-11 22:33:42.000000,2020-08-07 01:16:40.000000,344,100.0,36.0,2932,56.0,Model summary in PyTorch similar to `model.summary()` in Keras.,11.0,24,True,2018-09-26 05:07:28.000000,1.5.1,12.0,torchsummary,,,,['pytorch'],2083.0,1965.0,https://pypi.org/project/torchsummary,2018-09-26 05:07:28.000000,118.0,31205.0,31205.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n348,Stable Baselines,hill-a/stable-baselines,,reinforcement-learning,https://github.com/hill-a/stable-baselines,https://github.com/hill-a/stable-baselines,MIT,2018-07-02 14:28:59.000000,2021-02-22 15:02:15.000000,2020-12-23 16:27:08.000000,584,130.0,732.0,2929,835.0,\"A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.\",110.0,24,True,2020-08-05 19:45:11.000000,2.10.1,30.0,stable-baselines,,,,,50.0,,https://pypi.org/project/stable-baselines,2020-08-05 19:42:14.000000,50.0,5189.0,5189.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n349,xLearn,aksnzhy/xlearn,,ml-frameworks,https://github.com/aksnzhy/xlearn,https://github.com/aksnzhy/xlearn,Apache-2.0,2017-06-10 08:09:31.000000,2021-01-28 14:17:44.000000,2020-03-03 10:12:35.000000,489,179.0,107.0,2841,1340.0,\"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..\",30.0,24,True,2019-04-25 02:10:05.000000,0.4.4,15.0,xlearn,,,,,42.0,41.0,https://pypi.org/project/xlearn,2018-12-04 11:05:06.000000,1.0,3587.0,3653.0,,,,,,,,3.0,2326.0,,,,,,,,,,,,,,,,,,,,,\n350,PML,KevinMusgrave/pytorch-metric-learning,,pytorch-utils,https://github.com/KevinMusgrave/pytorch-metric-learning,https://github.com/KevinMusgrave/pytorch-metric-learning,MIT,2019-10-23 17:20:35.000000,2021-02-16 20:28:42.000000,2021-02-12 16:16:25.000000,378,36.0,181.0,2773,609.0,\"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.\",13.0,24,True,2021-01-12 14:49:11.000000,0.9.96,143.0,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,,['pytorch'],54.0,54.0,https://pypi.org/project/pytorch-metric-learning,2021-02-04 05:59:56.000000,0.0,3178.0,3277.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2021-01-12 15:47:14.797000,1294.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n351,DoWhy,Microsoft/dowhy,,interpretability,https://github.com/microsoft/dowhy,https://github.com/microsoft/dowhy,MIT,2018-05-31 13:07:04.000000,2021-02-21 16:18:11.000000,2021-02-20 11:18:02.000000,380,20.0,87.0,2689,431.0,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,39.0,24,True,2020-12-12 15:26:03.000000,0.5.1,5.0,dowhy,conda-forge/dowhy,,,,27.0,27.0,https://pypi.org/project/dowhy,2020-12-12 15:26:03.000000,,5754.0,5877.0,https://anaconda.org/conda-forge/dowhy,2020-12-13 07:46:12.761000,1105.0,,,,,2.0,23.0,,,,,,,,,,,,,,,,,,,,,\n352,Sumy,miso-belica/sumy,,nlp,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48.000000,2020-11-21 17:08:35.000000,2020-11-21 17:08:33.000000,440,10.0,78.0,2501,397.0,Module for automatic summarization of text documents and HTML pages.,20.0,24,True,2019-05-19 14:39:21.000000,0.8.1,13.0,sumy,,,,,862.0,670.0,https://pypi.org/project/sumy,2019-05-19 14:38:29.000000,192.0,5416.0,5416.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n353,einops,arogozhnikov/einops,,ml-frameworks,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08.000000,2021-01-09 20:03:22.000000,2021-01-09 20:03:21.000000,82,21.0,43.0,2463,293.0,\"Deep learning operations reinvented (for pytorch, tensorflow, jax and others).\",10.0,24,True,2020-09-08 08:33:29.000000,0.3,3.0,einops,conda-forge/einops,,,,271.0,261.0,https://pypi.org/project/einops,2020-09-08 08:21:26.000000,10.0,13055.0,13282.0,https://anaconda.org/conda-forge/einops,2020-10-15 20:10:19.681000,3859.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n354,ClearML,allegroai/clearml,,ml-experiments,https://github.com/allegroai/clearml,https://github.com/allegroai/clearml,Apache-2.0,2019-06-10 08:18:32.000000,2021-02-23 08:46:07.000000,2021-02-23 08:38:02.000000,329,62.0,208.0,2189,1062.0,\"ClearML - Auto-Magical Suite of tools to streamline your ML workflow. Experiment Manager, ML-Ops and Data-Management.\",26.0,24,True,2021-01-13 12:56:36.000000,0.17.4,39.0,clearml,,allegroai/trains,,,13.0,13.0,https://pypi.org/project/clearml,2021-02-23 08:45:41.000000,0.0,3682.0,5194.0,,,,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,29975.0,2.0,296.0,,,,,,,,,,,,,,,,,,,,,\n355,Arctic,man-group/arctic,,data-containers,https://github.com/man-group/arctic,https://github.com/man-group/arctic,LGPL-2.1,2015-05-29 13:37:30.000000,2021-02-05 16:08:56.000000,2021-01-26 00:14:21.000000,439,88.0,422.0,2185,1067.0,Arctic is a high performance datastore for numeric data.,71.0,24,True,2020-12-01 23:17:26.000000,1.79.4,83.0,arctic,conda-forge/arctic,,,,148.0,106.0,https://pypi.org/project/arctic,2020-12-01 23:16:12.000000,42.0,1691.0,2296.0,https://anaconda.org/conda-forge/arctic,2019-12-16 08:57:24.231000,12699.0,,,,,3.0,94.0,,,,,,,,,,,,,,,,,,,,,\n356,Hyperas,maxpumperla/hyperas,,hyperopt,https://github.com/maxpumperla/hyperas,https://github.com/maxpumperla/hyperas,MIT,2016-02-19 14:45:10.000000,2020-12-22 08:31:48.000000,2020-12-22 08:31:47.000000,296,88.0,158.0,2077,209.0,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,21.0,24,True,2019-02-28 09:16:54.000000,0.4.1,9.0,hyperas,,,,['tensorflow'],42.0,,https://pypi.org/project/hyperas,2019-02-28 09:16:54.000000,42.0,13580.0,13580.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n357,fastNLP,fastnlp/fastNLP,,nlp,https://github.com/fastnlp/fastNLP,https://github.com/fastnlp/fastNLP,Apache-2.0,2018-03-07 13:30:20.000000,2021-02-23 11:04:05.000000,2021-02-23 11:04:05.000000,351,16.0,127.0,2022,1707.0,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,49.0,24,True,2020-11-06 15:31:29.000000,0.6.0,10.0,fastnlp,,,,,26.0,25.0,https://pypi.org/project/fastnlp,2019-02-04 02:35:37.000000,1.0,396.0,397.0,,,,,,,,3.0,54.0,,,,,,,,,,,,,,,,,,,,,\n358,SRU,asappresearch/sru,,pytorch-utils,https://github.com/asappresearch/sru,https://github.com/asappresearch/sru,MIT,2017-08-28 20:37:41.000000,2021-02-25 02:46:00.000000,2021-02-25 02:46:00.000000,280,50.0,54.0,1880,381.0,Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755).,21.0,24,True,2020-12-17 19:40:55.000000,2.6.0-rc1,22.0,sru,,,,['pytorch'],17.0,15.0,https://pypi.org/project/sru,2021-01-22 20:02:59.000000,2.0,1203.0,1203.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n359,pytorch-nlp,PetrochukM/PyTorch-NLP,,nlp,https://github.com/PetrochukM/PyTorch-NLP,https://github.com/PetrochukM/PyTorch-NLP,BSD-3-Clause,2018-02-25 05:00:36.000000,2021-01-26 22:24:03.000000,2021-01-26 22:23:57.000000,223,14.0,49.0,1868,445.0,Basic Utilities for PyTorch Natural Language Processing (NLP).,17.0,24,True,2019-11-04 05:16:00.000000,0.5.0,19.0,pytorch-nlp,,,,['pytorch'],199.0,181.0,https://pypi.org/project/pytorch-nlp,2019-11-04 04:35:18.000000,18.0,2045.0,2045.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n360,facenet-pytorch,timesler/facenet-pytorch,,image,https://github.com/timesler/facenet-pytorch,https://github.com/timesler/facenet-pytorch,MIT,2019-05-25 01:29:24.000000,2020-11-19 06:56:24.000000,2020-11-19 06:56:23.000000,396,31.0,84.0,1854,229.0,Pretrained Pytorch face detection (MTCNN) and recognition (InceptionResnet) models.,11.0,24,True,2020-11-19 06:49:36.000000,2.5.1,30.0,facenet-pytorch,,,,['pytorch'],296.0,290.0,https://pypi.org/project/facenet-pytorch,2020-11-19 06:49:36.000000,6.0,2733.0,7013.0,,,,,,,,3.0,64206.0,,,,,,,,,,,,,,,,,,,,,\n361,python_speech_features,jameslyons/python_speech_features,,audio,https://github.com/jameslyons/python_speech_features,https://github.com/jameslyons/python_speech_features,MIT,2013-10-31 02:42:08.000000,2020-12-31 13:27:02.000000,2020-12-31 13:27:01.000000,540,23.0,49.0,1844,120.0,This library provides common speech features for ASR including MFCCs and filterbank energies.,18.0,24,True,2020-01-14 14:12:10.000000,0.6.1,6.0,python_speech_features,,,,,300.0,,https://pypi.org/project/python_speech_features,2017-08-16 01:46:13.000000,300.0,33367.0,33367.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n362,Alphalens,quantopian/alphalens,,financial-data,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15.000000,2020-09-05 16:48:14.000000,2020-04-27 18:40:41.000000,665,38.0,145.0,1782,522.0,Performance analysis of predictive (alpha) stock factors.,25.0,24,True,2020-04-30 15:42:52.000000,0.4.0,10.0,alphalens,conda-forge/alphalens,,,,367.0,353.0,https://pypi.org/project/alphalens,2020-04-27 21:03:10.000000,14.0,1928.0,2223.0,https://anaconda.org/conda-forge/alphalens,2020-05-16 13:52:44.922000,10645.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n363,polyglot,aboSamoor/polyglot,,nlp,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,GPL-3.0,2014-06-30 02:07:45.000000,2020-10-27 10:55:53.000000,2020-09-22 22:35:28.000000,292,132.0,62.0,1776,271.0,Multilingual text (NLP) processing toolkit.,26.0,24,False,2016-07-03 20:05:42.000000,16.7.4,8.0,polyglot,,,,,578.0,448.0,https://pypi.org/project/polyglot,2016-07-03 20:05:42.000000,130.0,31344.0,31344.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n364,causalml,uber/causalml,,others,https://github.com/uber/causalml,https://github.com/uber/causalml,Apache-2.0,2019-07-09 02:08:58.000000,2021-02-23 15:54:50.000000,2021-02-19 20:30:06.000000,259,25.0,134.0,1695,305.0,Uplift modeling and causal inference with machine learning algorithms.,23.0,24,True,2021-02-19 20:58:43.000000,0.10.0,13.0,causalml,,,,,14.0,14.0,https://pypi.org/project/causalml,2021-02-19 20:32:15.000000,0.0,7606.0,7606.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n365,TorchServe,pytorch/serve,,model-serialisation,https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000000,2021-02-24 05:07:55.000000,2021-01-13 01:32:25.000000,238,130.0,407.0,1595,1049.0,Model Serving on PyTorch.,61.0,24,True,2020-12-18 01:38:41.000000,0.3.0,6.0,torchserve,pytorch/torchserve,pytorch/torchserve,,['pytorch'],30.0,30.0,https://pypi.org/project/torchserve,2020-12-17 19:04:04.000000,0.0,2397.0,6362.0,https://anaconda.org/pytorch/torchserve,2020-12-17 18:30:12.593000,6709.0,https://hub.docker.com/r/pytorch/torchserve,2020-12-18 18:32:51.570336,3.0,52440.0,2.0,189.0,,,,,,,,,,,,,,,,,,,,,\n366,category_encoders,scikit-learn-contrib/category_encoders,,sklearn-utils,https://github.com/scikit-learn-contrib/category_encoders,https://github.com/scikit-learn-contrib/category_encoders,BSD-3-Clause,2015-11-29 19:32:37.000000,2020-11-10 15:17:22.000000,2020-07-31 10:43:44.000000,292,65.0,135.0,1589,671.0,A library of sklearn compatible categorical variable encoders.,35.0,24,True,2020-04-29 02:09:51.000000,2.2.2,19.0,category_encoders,conda-forge/category_encoders,,,['sklearn'],23.0,,https://pypi.org/project/category_encoders,2018-10-14 14:15:54.000000,23.0,124567.0,126283.0,https://anaconda.org/conda-forge/category_encoders,2020-04-29 22:37:35.948000,94410.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n367,tslearn,tslearn-team/tslearn,,time-series-data,https://github.com/tslearn-team/tslearn,https://github.com/tslearn-team/tslearn,BSD-2-Clause,2017-05-04 13:08:13.000000,2021-01-26 12:41:22.000000,2021-01-25 15:18:03.000000,221,58.0,167.0,1485,,A machine learning toolkit dedicated to time-series data.,29.0,24,True,2021-01-25 15:19:11.000000,0.5.0.5,92.0,tslearn,conda-forge/tslearn,,,['sklearn'],221.0,199.0,https://pypi.org/project/tslearn,2021-01-25 15:28:45.000000,22.0,51089.0,56455.0,https://anaconda.org/conda-forge/tslearn,2021-01-25 17:55:55.394000,187836.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n368,PyTextRank,DerwenAI/pytextrank,,nlp,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000000,2021-02-22 08:43:29.000000,2021-02-21 04:42:06.000000,297,18.0,38.0,1473,182.0,Python implementation of TextRank for phrase extraction and summarization of text documents.,13.0,24,True,2021-02-14 23:04:58.000000,3.0.0,12.0,pytextrank,,,,,130.0,124.0,https://pypi.org/project/pytextrank,2021-02-14 23:04:58.000000,6.0,4238.0,4238.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n369,sklearn-contrib-lightning,scikit-learn-contrib/lightning,,sklearn-utils,https://github.com/scikit-learn-contrib/lightning,https://github.com/scikit-learn-contrib/lightning,BSD-3-Clause,2012-01-11 13:53:52.000000,2021-01-05 05:54:02.000000,2021-01-04 18:02:23.000000,192,47.0,36.0,1434,700.0,\"Large-scale linear classification, regression and ranking in Python.\",16.0,24,True,2020-12-16 17:26:49.000000,0.6.0,8.0,sklearn-contrib-lightning,conda-forge/sklearn-contrib-lightning,,,['sklearn'],86.0,76.0,https://pypi.org/project/sklearn-contrib-lightning,2020-12-16 17:26:49.000000,10.0,248.0,2625.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2020-12-20 22:58:20.890000,130763.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n370,mtcnn,ipazc/mtcnn,,image,https://github.com/ipazc/mtcnn,https://github.com/ipazc/mtcnn,MIT,2018-01-05 04:08:32.000000,2021-02-03 15:49:06.000000,2021-01-13 23:50:58.000000,373,53.0,36.0,1410,55.0,\"MTCNN face detection implementation for TensorFlow, as a PIP package.\",14.0,24,True,2019-11-14 17:37:05.000000,0.1.0,10.0,mtcnn,,,,['tensorflow'],932.0,890.0,https://pypi.org/project/mtcnn,2019-11-14 17:37:05.000000,42.0,7323.0,7323.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n371,TNT,pytorch/tnt,,ml-experiments,https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58.000000,2021-01-22 09:14:29.000000,2021-01-05 19:36:17.000000,186,30.0,34.0,1285,156.0,\"Simple tools for logging and visualizing, loading and training.\",35.0,24,True,2019-11-15 12:57:59.000000,0.0.5.1,3.0,torchnet,,,,['pytorch'],577.0,527.0,https://pypi.org/project/torchnet,2018-07-29 23:16:03.000000,50.0,2574.0,2574.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n372,IB-insync,erdewit/ib_insync,,financial-data,https://github.com/erdewit/ib_insync,https://github.com/erdewit/ib_insync,BSD-2-Clause,2017-07-12 12:09:24.000000,2021-02-25 12:10:14.000000,2021-02-25 12:10:07.000000,401,1.0,287.0,1279,557.0,Python sync/async framework for Interactive Brokers API.,26.0,24,True,2020-11-03 13:37:57.000000,0.9.64,89.0,ib_insync,conda-forge/ib-insync,,,,12.0,,https://pypi.org/project/ib_insync,2020-11-03 13:37:57.000000,12.0,2866.0,3269.0,https://anaconda.org/conda-forge/ib-insync,2021-02-25 02:28:19.625000,7663.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n373,Fairness 360,Trusted-AI/AIF360,,interpretability,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15.000000,2021-02-24 22:18:39.000000,2021-02-22 19:37:29.000000,394,35.0,47.0,1229,312.0,\"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..\",43.0,24,True,2020-06-02 22:59:53.000000,0.3.0,8.0,aif360,,,,,72.0,68.0,https://pypi.org/project/aif360,2020-06-02 22:49:24.000000,4.0,2375.0,2375.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n374,sense2vec,explosion/sense2vec,,nlp,https://github.com/explosion/sense2vec,https://github.com/explosion/sense2vec,MIT,2016-01-23 22:15:49.000000,2021-02-23 11:10:22.000000,2021-02-07 06:06:59.000000,204,15.0,79.0,1164,450.0,Contextually-keyed word vectors.,15.0,24,True,2021-02-07 06:12:02.000000,2.0.0,21.0,sense2vec,conda-forge/sense2vec,,,,62.0,50.0,https://pypi.org/project/sense2vec,2021-02-07 06:12:02.000000,12.0,2189.0,3484.0,https://anaconda.org/conda-forge/sense2vec,2020-03-16 22:19:07.337000,15431.0,,,,,3.0,13197.0,,,,,,,,,,,,,,,,,,,,,\n375,modAL,modAL-python/modAL,,others,https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000000,2021-02-24 14:24:22.000000,2021-01-07 09:40:40.000000,181,45.0,50.0,1109,648.0,A modular active learning framework for Python.,14.0,24,True,2021-01-07 09:47:49.000000,0.4.1,12.0,modAL,,,,['sklearn'],59.0,51.0,https://pypi.org/project/modAL,2021-01-07 09:47:49.000000,8.0,1183.0,1183.0,,,,,,,,2.0,9.0,,,,,,,,,,,,,,,,,,,,,\n376,petastorm,uber/petastorm,,distributed-ml,https://github.com/uber/petastorm,https://github.com/uber/petastorm,Apache-2.0,2018-06-15 23:15:29.000000,2021-02-03 01:11:09.000000,2021-02-03 01:11:08.000000,187,124.0,113.0,1089,616.0,Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets..,38.0,24,True,2020-12-15 18:37:49.000000,0.9.8,64.0,petastorm,,,,,26.0,26.0,https://pypi.org/project/petastorm,2020-12-15 18:37:49.000000,0.0,39772.0,39781.0,,,,,,,,2.0,288.0,,,,,,,,,,,,,,,,,,,,,\n377,livelossplot,stared/livelossplot,,ml-experiments,https://github.com/stared/livelossplot,https://github.com/stared/livelossplot,MIT,2018-03-10 17:51:43.000000,2021-02-07 23:25:37.000000,2021-02-07 23:24:31.000000,130,4.0,70.0,1045,323.0,\"Live training loss plot in Jupyter Notebook for Keras, PyTorch and others.\",16.0,24,True,2021-02-03 16:25:47.000000,0.5.4,24.0,livelossplot,,,,['jupyter'],465.0,455.0,https://pypi.org/project/livelossplot,2021-02-03 16:25:47.000000,10.0,12913.0,12913.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n378,TabPy,tableau/TabPy,,others,https://github.com/tableau/TabPy,https://github.com/tableau/TabPy,MIT,2016-09-27 21:26:03.000000,2021-02-04 23:28:56.000000,2021-02-04 23:28:56.000000,383,11.0,259.0,1034,828.0,Execute Python code on the fly and display results in Tableau visualizations:.,40.0,24,True,2020-11-11 19:06:41.000000,2.3.1,24.0,tabpy,,,,,47.0,47.0,https://pypi.org/project/tabpy,2020-11-11 19:06:41.000000,0.0,5257.0,5257.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n379,Streamz,python-streamz/streamz,,time-series-data,https://github.com/python-streamz/streamz,https://github.com/python-streamz/streamz,BSD-3-Clause,2017-04-04 21:45:49.000000,2021-01-15 14:38:35.032000,2021-01-14 20:46:26.000000,113,91.0,127.0,912,733.0,Real-time stream processing for python.,38.0,24,True,2021-01-14 20:47:38.000000,0.6.2,15.0,streamz,conda-forge/streamz,,,,206.0,190.0,https://pypi.org/project/streamz,2021-01-14 20:47:38.000000,16.0,1930.0,4919.0,https://anaconda.org/conda-forge/streamz,2021-01-15 14:38:35.032000,122578.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n380,spacy-transformers,explosion/spacy-transformers,,nlp,https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000000,2021-02-15 16:41:35.000000,2021-02-08 12:05:46.000000,102,48.0,,908,1317.0,\"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.\",15.0,24,True,2021-02-02 10:57:09.000000,1.0.1,44.0,spacy-transformers,,,,['spacy'],93.0,87.0,https://pypi.org/project/spacy-transformers,2021-02-02 09:54:58.000000,6.0,15643.0,15643.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n381,SciSpacy,allenai/scispacy,,nlp,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52.000000,2021-02-23 17:31:33.000000,2021-02-23 17:31:33.000000,125,19.0,138.0,838,922.0,A full spaCy pipeline and models for scientific/biomedical documents.,18.0,24,True,2021-02-12 22:56:06.000000,0.4.0,10.0,scispacy,,,,,221.0,209.0,https://pypi.org/project/scispacy,2021-02-12 22:56:06.000000,12.0,9075.0,9075.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n382,ffn,pmorissette/ffn,,financial-data,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09.000000,2021-02-18 10:34:12.000000,2021-02-18 10:34:06.000000,186,19.0,63.0,789,339.0,ffn - a financial function library for Python.,25.0,24,True,2021-02-01 04:38:52.000000,0.3.5,26.0,ffn,,,,,140.0,98.0,https://pypi.org/project/ffn,2021-02-01 04:35:47.000000,42.0,6456.0,6456.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n383,PennyLane,PennyLaneAI/PennyLane,,others,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000000,2021-02-25 14:25:34.000000,2021-02-23 15:31:10.000000,220,56.0,245.0,778,1809.0,PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum..,42.0,24,True,2021-02-12 15:50:08.000000,0.14.1,20.0,pennylane,,,,,20.0,,https://pypi.org/project/pennylane,2021-02-12 15:49:56.000000,20.0,2889.0,2891.0,,,,,,,,2.0,56.0,,,,,,,,,,,,,,,,,,,,,\n384,ktrain,amaiya/ktrain,,ml-frameworks,https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39.000000,2021-02-18 23:13:17.000000,2021-01-29 15:46:22.000000,183,10.0,298.0,746,2156.0,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,12.0,24,True,2021-01-28 01:04:41.000000,0.25.4,147.0,ktrain,,,,['tensorflow'],126.0,125.0,https://pypi.org/project/ktrain,2021-01-28 01:03:31.000000,1.0,3976.0,3976.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n385,PySwarms,ljvmiranda921/pyswarms,,others,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45.000000,2021-02-19 21:21:45.000000,2021-01-03 04:18:07.000000,234,16.0,155.0,730,405.0,A research toolkit for particle swarm optimization in Python.,42.0,24,True,2021-01-03 21:34:15.000000,1.3.0,20.0,pyswarms,,,,,91.0,91.0,https://pypi.org/project/pyswarms,2021-01-03 21:34:15.000000,0.0,2040.0,2040.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n386,stockstats,jealous/stockstats,,financial-data,https://github.com/jealous/stockstats,https://github.com/jealous/stockstats,BSD-3-Clause,2016-06-05 15:21:22.000000,2020-12-10 07:08:11.000000,2020-10-17 10:59:35.000000,199,29.0,31.0,725,23.0,Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.,7.0,24,True,2020-10-17 11:10:43.000000,0.3.2,14.0,stockstats,,,,,228.0,180.0,https://pypi.org/project/stockstats,2020-10-17 11:10:43.000000,48.0,18899.0,18899.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n387,Singer,singer-io/getting-started,,data-loading,https://github.com/singer-io/getting-started,https://github.com/singer-io/getting-started,AGPL-3.0,2016-10-31 16:53:56.000000,2021-02-12 15:39:15.000000,2020-12-04 20:57:19.000000,97,20.0,16.0,705,173.0,\"Standard for moving data between databases, web APIs, files, queues, and just about anything else you can think of.\",26.0,24,False,2021-02-03 15:09:58.000000,5.10.0,101.0,singer-python,,,,,300.0,,https://pypi.org/project/singer-python,2021-02-03 15:09:58.000000,300.0,40180.0,40180.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n388,Hail,hail-is/hail,,medical-data,https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000000,2021-02-25 15:03:11.000000,2021-02-25 14:48:41.000000,181,323.0,1937.0,703,7617.0,Scalable genomic data analysis.,70.0,24,True,2021-02-04 21:33:46.000000,0.2.62,82.0,hail,,,,['spark'],30.0,30.0,https://pypi.org/project/hail,2021-02-04 21:33:46.000000,0.0,1463.0,1463.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n389,dask-ml,dask/dask-ml,,distributed-ml,https://github.com/dask/dask-ml,https://github.com/dask/dask-ml,BSD-3-Clause,2017-06-15 15:56:06.000000,2021-02-24 16:32:08.000000,2021-02-24 15:52:03.000000,186,186.0,210.0,686,,Scalable Machine Learning with Dask.,62.0,24,True,2021-01-30 16:49:37.000000,1.8.0,27.0,dask-ml,conda-forge/dask-ml,,,,388.0,346.0,https://pypi.org/project/dask-ml,2021-01-30 16:49:37.000000,42.0,15873.0,20754.0,https://anaconda.org/conda-forge/dask-ml,2021-01-30 20:07:36.819000,195257.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n390,CLTK,cltk/cltk,,nlp,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000000,2021-02-24 16:38:23.000000,2021-02-24 16:24:32.000000,300,126.0,360.0,631,2772.0,The Classical Language Toolkit.,109.0,24,True,2020-06-22 06:03:33.000000,0.1.121,168.0,cltk,,,,,223.0,155.0,https://pypi.org/project/cltk,2021-02-24 16:38:23.000000,68.0,1045.0,1045.0,,,,,,,,3.0,22.0,,,,,,,,,,,,,,,,,,,,,\n391,pyjanitor,ericmjl/pyjanitor,,others,https://github.com/ericmjl/pyjanitor,https://github.com/ericmjl/pyjanitor,MIT,2018-03-04 22:43:33.000000,2021-02-25 15:13:39.000000,2021-02-25 14:41:20.000000,118,89.0,281.0,627,1162.0,Clean APIs for data cleaning. Python implementation of R package Janitor.,88.0,24,True,2020-10-03 12:24:35.000000,0.20.10,48.0,pyjanitor,conda-forge/pyjanitor,,,,89.0,85.0,https://pypi.org/project/pyjanitor,2021-02-25 14:08:33.000000,4.0,1555.0,3828.0,https://anaconda.org/conda-forge/pyjanitor,2020-10-04 12:30:53.707000,79557.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n392,tensorflow-upstream,ROCmSoftwarePlatform/tensorflow-upstream,,ml-frameworks,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,Apache-2.0,2018-04-09 21:24:50.000000,2021-02-24 15:44:29.000000,2021-02-22 16:31:10.000000,65,55.0,227.0,544,79524.0,TensorFlow ROCm port.,3554.0,24,True,2020-12-22 02:51:55.000000,2.4.0,58.0,tensorflow-rocm,,,,['tensorflow'],,,https://pypi.org/project/tensorflow-rocm,2020-12-22 02:51:55.000000,,761.0,761.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,,,,\n393,SALib,SALib/SALib,,probabilistics,https://github.com/SALib/SALib,https://github.com/SALib/SALib,MIT,2013-05-30 13:38:10.000000,2021-02-21 13:06:27.000000,2021-01-20 02:04:21.000000,142,41.0,187.0,434,909.0,\"Sensitivity Analysis Library in Python (Numpy). Contains Sobol, Morris, Fractional Factorial and FAST methods.\",24.0,24,True,2020-11-12 17:13:12.000000,1.3.12,29.0,salib,conda-forge/salib,,,,44.0,,https://pypi.org/project/salib,2020-11-19 15:36:26.000000,44.0,10573.0,11719.0,https://anaconda.org/conda-forge/salib,2020-10-24 17:04:41.614000,58465.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n394,findspark,minrk/findspark,,others,https://github.com/minrk/findspark,https://github.com/minrk/findspark,BSD-3-Clause,2015-06-12 21:34:06.000000,2020-06-08 09:32:35.000000,2020-06-08 09:31:58.000000,66,11.0,8.0,389,67.0,Find pyspark to make it importable.,14.0,24,True,2020-06-08 09:32:23.000000,1.4.2,12.0,findspark,conda-forge/findspark,,,['spark'],1734.0,1532.0,https://pypi.org/project/findspark,2020-06-08 09:32:23.000000,202.0,437375.0,446264.0,https://anaconda.org/conda-forge/findspark,2018-07-06 12:57:33.438000,497833.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n395,sklearn-crfsuite,TeamHG-Memex/sklearn-crfsuite,,sklearn-utils,https://github.com/TeamHG-Memex/sklearn-crfsuite,https://github.com/TeamHG-Memex/sklearn-crfsuite,MIT,2015-11-26 21:15:41.000000,2020-12-30 08:00:27.000000,2019-12-05 08:17:22.000000,153,34.0,22.0,360,46.0,scikit-learn inspired API for CRFsuite.,6.0,24,False,2017-06-22 18:49:27.000000,0.3.6,9.0,sklearn-crfsuite,,,,['sklearn'],2882.0,2486.0,https://pypi.org/project/sklearn-crfsuite,2017-06-22 18:49:27.000000,396.0,29988.0,29988.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n396,ml-metadata,google/ml-metadata,,ml-experiments,https://github.com/google/ml-metadata,https://github.com/google/ml-metadata,Apache-2.0,2019-01-15 21:02:09.000000,2021-02-24 23:25:38.000000,2021-02-24 23:25:34.000000,62,16.0,42.0,286,470.0,For recording and retrieving metadata associated with ML developer and data scientist workflows.,12.0,24,True,2021-02-23 22:04:56.000000,0.28.0,24.0,ml-metadata,,,,,78.0,78.0,https://pypi.org/project/ml-metadata,2021-02-23 22:04:56.000000,0.0,141143.0,141196.0,,,,,,,,2.0,1238.0,,,,,,,,,,,,,,,,,,,,,\n397,datalad,datalad/datalad,,others,https://github.com/datalad/datalad,https://github.com/datalad/datalad,MIT,2013-11-01 19:40:08.000000,2021-02-25 15:12:13.000000,2021-02-25 14:38:14.000000,69,711.0,2240.0,227,13409.0,\"Keep code, data, containers under control with git and git-annex.\",41.0,24,True,2021-02-02 17:40:16.000000,0.14.0,64.0,datalad,conda-forge/datalad,,,,26.0,,https://pypi.org/project/datalad,2021-02-02 17:35:56.000000,26.0,2692.0,5252.0,https://anaconda.org/conda-forge/datalad,2021-02-03 22:25:50.068000,89614.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n398,PaddleOCR,PaddlePaddle/PaddleOCR,,ocr,https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000000,2021-02-25 01:50:38.000000,2021-02-23 01:51:55.000000,2138,473.0,939.0,11052,,\"Awesome multilingual OCR toolkits based on PaddlePaddle practical ultra lightweight OCR system, provide data..\",41.0,23,True,2021-02-08 15:36:59.000000,2.0.0,10.0,paddleocr,,,,['paddle'],33.0,33.0,https://pypi.org/project/paddleocr,2020-12-18 04:01:23.000000,0.0,934.0,934.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n399,pysc2,deepmind/pysc2,,others,https://github.com/deepmind/pysc2,https://github.com/deepmind/pysc2,Apache-2.0,2017-07-25 18:16:57.000000,2020-07-29 16:22:31.000000,2019-09-27 15:23:22.000000,1095,57.0,203.0,7191,513.0,StarCraft II Learning Environment.,34.0,23,False,2019-09-27 15:48:01.000000,3.0.0,7.0,pysc2,,,,,267.0,227.0,https://pypi.org/project/pysc2,2019-09-27 15:48:01.000000,40.0,432.0,1047.0,,,,,,,,3.0,25858.0,,,,,,,,,,,,,,,,,,,,,\n400,Ciphey,Ciphey/Ciphey,,nlp,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39.000000,2021-02-22 07:35:46.000000,2021-02-22 07:35:45.000000,353,48.0,176.0,6337,1731.0,\"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.\",39.0,23,True,2020-12-02 12:36:44.000000,5.11.0,43.0,ciphey,,remnux/ciphey,,,,,https://pypi.org/project/ciphey,2020-12-02 12:36:44.000000,,2267.0,2695.0,,,,https://hub.docker.com/r/remnux/ciphey,2021-02-14 02:12:39.610840,2.0,8138.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n401,Vaex,vaexio/vaex,,data-containers,https://github.com/vaexio/vaex,https://github.com/vaexio/vaex,MIT,2014-09-27 09:44:42.000000,2021-02-25 09:17:10.000000,2021-02-05 12:30:44.000000,448,307.0,393.0,5833,2960.0,\"Out-of-Core DataFrames for Python, ML, visualize and explore big tabular data at a billion rows per second.\",38.0,23,True,2020-05-25 21:35:34.000000,3.0.0,48.0,vaex,conda-forge/vaex,,,,4.0,,https://pypi.org/project/vaex,2021-01-27 18:51:38.000000,4.0,3335.0,5196.0,https://anaconda.org/conda-forge/vaex,2020-06-01 18:35:17.510000,96668.0,,,,,3.0,199.0,,,,,,,,,,,,,,,,,,,,,\n402,EfficientNet-PyTorch,lukemelas/EfficientNet-PyTorch,,pytorch-utils,https://github.com/lukemelas/EfficientNet-PyTorch,https://github.com/lukemelas/EfficientNet-PyTorch,Apache-2.0,2019-05-30 05:24:11.000000,2021-02-09 15:32:57.000000,2020-10-09 16:24:04.000000,1078,112.0,117.0,5492,141.0,A PyTorch implementation of EfficientNet.,21.0,23,True,2020-08-26 03:00:05.000000,0.7.0,12.0,efficientnet-pytorch,,,,['pytorch'],14.0,,https://pypi.org/project/efficientnet-pytorch,2020-08-26 03:00:05.000000,14.0,24646.0,56111.0,,,,,,,,2.0,346119.0,,,,,,,,,,,,,,,,,,,,,\n403,snownlp,isnowfy/snownlp,,chinese-nlp,https://github.com/isnowfy/snownlp,https://github.com/isnowfy/snownlp,MIT,2013-11-26 11:46:56.000000,2020-01-19 02:39:05.000000,2020-01-19 02:39:03.000000,1239,33.0,65.0,5306,57.0,Python library for processing Chinese text.,8.0,23,False,2015-09-27 16:35:23.000000,0.12.3,17.0,snownlp,,,,,562.0,524.0,https://pypi.org/project/snownlp,2015-09-27 16:35:23.000000,38.0,1256.0,1256.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n404,mmdnn,Microsoft/MMdnn,,model-serialisation,https://github.com/microsoft/MMdnn,https://github.com/microsoft/MMdnn,MIT,2017-08-16 08:03:52.000000,2021-02-18 13:17:02.000000,2020-08-14 02:32:30.000000,931,306.0,287.0,5230,1083.0,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,85.0,23,True,2020-07-24 06:34:39.000000,0.3.1,12.0,mmdnn,,,,,52.0,49.0,https://pypi.org/project/mmdnn,2020-07-24 06:34:39.000000,3.0,380.0,464.0,,,,,,,,2.0,3303.0,,,,,,,,,,,,,,,,,,,,,\n405,Apex,NVIDIA/apex,,gpu-utilities,https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000000,2021-02-24 00:51:01.000000,2021-02-23 06:33:51.000000,685,445.0,365.0,5066,831.0,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,79.0,23,True,,,1.0,,conda-forge/nvidia-apex,,,['pytorch'],463.0,463.0,,,,,2070.0,https://anaconda.org/conda-forge/nvidia-apex,2020-11-23 18:41:00.769000,33135.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n406,Face Alignment,1adrianb/face-alignment,,image,https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44.000000,2021-01-30 20:13:18.000000,2020-12-30 17:11:06.000000,1012,31.0,191.0,4700,196.0,2D and 3D Face alignment library build using pytorch.,21.0,23,True,2020-12-22 21:34:55.000000,1.3.3,9.0,face-alignment,,,,['pytorch'],6.0,,https://pypi.org/project/face-alignment,2020-12-22 21:34:55.000000,6.0,3277.0,3277.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n407,flashtext,vi3k6i5/flashtext,,nlp,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01.000000,2020-06-05 00:37:46.000000,2020-05-03 07:13:22.000000,521,48.0,49.0,4659,108.0,Extract Keywords from sentence or Replace keywords in sentences.,8.0,23,True,,,18.0,flashtext,,,,,398.0,366.0,https://pypi.org/project/flashtext,2018-02-16 05:24:17.000000,32.0,161838.0,161838.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n408,textgenrnn,minimaxir/textgenrnn,,nlp,https://github.com/minimaxir/textgenrnn,https://github.com/minimaxir/textgenrnn,MIT,2017-08-07 02:13:37.000000,2020-12-25 03:33:19.000000,2020-07-14 02:41:10.000000,678,116.0,79.0,4290,174.0,Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines..,19.0,23,True,2020-02-03 01:07:00.000000,2.0.0,14.0,textgenrnn,,,,['tensorflow'],688.0,660.0,https://pypi.org/project/textgenrnn,2020-02-02 21:16:15.000000,28.0,545.0,557.0,,,,,,,,3.0,410.0,,,,,,,,,,,,,,,,,,,,,\n409,VisualDL,PaddlePaddle/VisualDL,,ml-experiments,https://github.com/PaddlePaddle/VisualDL,https://github.com/PaddlePaddle/VisualDL,Apache-2.0,2017-12-20 12:34:31.000000,2021-02-25 09:37:36.000000,2021-02-20 13:49:02.000000,527,25.0,317.0,3847,,Deep Learning Visualization Toolkit.,28.0,23,True,2021-02-01 09:03:52.000000,2.1.1,31.0,visualdl,,,,['paddle'],179.0,169.0,https://pypi.org/project/visualdl,2021-01-29 09:44:14.000000,10.0,2904.0,2915.0,,,,,,,,3.0,91.0,,,,,,,,,,,,,,,,,,,,,\n410,Lasagne,Lasagne/Lasagne,,ml-frameworks,https://github.com/Lasagne/Lasagne,https://github.com/Lasagne/Lasagne,MIT,2014-09-11 15:31:41.000000,2019-11-20 20:28:31.000000,2019-11-20 20:28:30.000000,983,139.0,402.0,3772,1161.0,Lightweight library to build and train neural networks in Theano.,72.0,23,False,2015-08-13 21:00:09.000000,0.1,1.0,lasagne,,,,,1293.0,787.0,https://pypi.org/project/lasagne,2015-08-13 21:10:53.000000,506.0,1093.0,1093.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n411,ArrayFire,arrayfire/arrayfire,,gpu-utilities,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000000,2021-02-25 05:13:40.000000,2021-02-24 05:19:41.000000,457,254.0,1210.0,3320,5701.0,ArrayFire: a general purpose GPU library.,80.0,23,True,2021-01-08 21:41:09.000000,3.8.0,30.0,arrayfire,,,,,8.0,,https://pypi.org/project/arrayfire,2018-10-18 14:13:29.000000,8.0,530.0,540.0,,,,,,,,2.0,733.0,,,,,,,,,,,,,,,,,,,,,\n412,PyAlgoTrade,gbeced/pyalgotrade,,financial-data,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54.000000,2020-12-24 18:41:56.000000,2018-08-21 02:42:52.000000,1187,45.0,81.0,3186,1156.0,Python Algorithmic Trading Library.,11.0,23,False,,,8.0,pyalgotrade,,,,,90.0,69.0,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25.000000,21.0,530.0,530.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n413,Camelot,atlanhq/camelot,,data-loading,https://github.com/atlanhq/camelot,https://github.com/atlanhq/camelot,MIT,2016-06-18 11:48:49.000000,2020-07-27 12:28:15.000000,2019-10-15 05:25:40.000000,307,68.0,274.0,2992,446.0,Camelot: PDF Table Extraction for Humans.,23.0,23,False,2020-07-27 12:28:15.000000,0.8.2,21.0,camelot-py,,,,,20.0,,https://pypi.org/project/camelot-py,2020-07-27 12:28:15.000000,20.0,16490.0,16490.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n414,segmentation_models,qubvel/segmentation_models,,image,https://github.com/qubvel/segmentation_models,https://github.com/qubvel/segmentation_models,MIT,2018-06-05 13:27:56.000000,2020-12-13 13:48:40.000000,2020-04-17 09:51:20.000000,687,153.0,236.0,2966,204.0,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,14.0,23,True,2020-01-10 11:36:02.000000,1.0.1,8.0,segmentation_models,,,,['tensorflow'],24.0,,https://pypi.org/project/segmentation_models,2020-01-10 11:36:02.000000,24.0,10944.0,10944.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n415,SHOGUN,shogun-toolbox/shogun,,ml-frameworks,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32.000000,2021-01-27 17:11:33.000000,2020-12-08 16:56:38.000000,1016,544.0,1070.0,2799,16205.0,Unified and efficient Machine Learning.,248.0,23,True,2019-07-05 10:23:31.000000,shogun_6.1.4,10.0,,conda-forge/shogun,shogun/shogun,,,,,,,,,2157.0,https://anaconda.org/conda-forge/shogun,2018-06-25 20:49:17.070000,92260.0,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1444.0,3.0,,,,,,,,,,shogun,,,,,,,,,,,,\n416,keras-vis,raghakot/keras-vis,,interpretability,https://github.com/raghakot/keras-vis,https://github.com/raghakot/keras-vis,MIT,2016-11-11 23:27:34.000000,2020-04-20 01:03:13.000000,2020-04-20 01:03:12.000000,595,114.0,99.0,2790,195.0,Neural network visualization toolkit for keras.,10.0,23,True,2017-07-06 04:55:04.000000,0.4.1,11.0,keras-vis,,,,['tensorflow'],795.0,739.0,https://pypi.org/project/keras-vis,2017-07-06 04:55:04.000000,56.0,1335.0,1335.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n417,MMLSpark,Azure/mmlspark,,distributed-ml,https://github.com/Azure/mmlspark,https://github.com/Azure/mmlspark,MIT,2017-06-05 08:23:44.000000,2021-02-22 18:50:08.000000,2021-02-22 18:50:07.000000,503,202.0,213.0,2259,778.0,Microsoft Machine Learning for Apache Spark.,63.0,23,True,2020-10-02 19:36:01.000000,1.0.0-rc3,17.0,mmlspark,,,,['spark'],,,https://pypi.org/project/mmlspark,2020-03-18 01:27:31.000000,,36461.0,36461.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n418,neuralcoref,huggingface/neuralcoref,,nlp,https://github.com/huggingface/neuralcoref,https://github.com/huggingface/neuralcoref,MIT,2017-07-03 13:04:16.000000,2021-02-24 08:54:06.000000,2021-02-24 08:54:03.000000,384,45.0,218.0,2207,115.0,Fast Coreference Resolution in spaCy with Neural Networks.,20.0,23,True,2019-04-08 11:28:27.000000,4.0.0,5.0,neuralcoref,conda-forge/neuralcoref,,,,312.0,294.0,https://pypi.org/project/neuralcoref,2019-04-08 09:56:00.000000,18.0,2449.0,2977.0,https://anaconda.org/conda-forge/neuralcoref,2020-02-21 22:10:40.453000,6299.0,,,,,3.0,173.0,,,,,,,,,,,,,,,,,,,,,\n419,Gradio,gradio-app/gradio,,others,https://github.com/gradio-app/gradio,https://github.com/gradio-app/gradio,Apache-2.0,2018-12-19 08:24:04.000000,2021-02-24 20:22:38.000000,2021-02-24 20:22:09.000000,133,9.0,67.0,2105,938.0,\"Wrap UIs around any model, share with anyone.\",16.0,23,True,2021-01-29 20:19:46.000000,1.5.3,83.0,gradio,,,,,79.0,77.0,https://pypi.org/project/gradio,2021-01-29 20:19:46.000000,2.0,1131.0,1131.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n420,PandasGUI,adamerose/pandasgui,,data-viz,https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT,2019-06-12 02:19:42.000000,2021-02-24 18:49:45.000000,2021-02-24 18:49:44.000000,119,15.0,64.0,2046,403.0,A GUI for Pandas DataFrames.,8.0,23,True,2021-02-12 17:30:50.000000,0.2.9,39.0,pandasgui,,,,['pandas'],44.0,42.0,https://pypi.org/project/pandasgui,2021-02-12 17:30:50.000000,2.0,1186.0,1186.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n421,scikit-plot,reiinakano/scikit-plot,,interpretability,https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59.000000,2020-07-22 16:19:25.000000,2018-08-19 12:37:47.000000,244,21.0,38.0,2034,130.0,An intuitive library to add plotting functionality to scikit-learn objects.,13.0,23,False,2018-08-19 12:21:01.000000,0.3.7,27.0,scikit-plot,conda-forge/scikit-plot,,,['sklearn'],824.0,770.0,https://pypi.org/project/scikit-plot,2018-08-19 12:18:46.000000,54.0,35486.0,37390.0,https://anaconda.org/conda-forge/scikit-plot,2019-06-05 14:23:59.043000,81888.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n422,ART,Trusted-AI/adversarial-robustness-toolbox,,adversarial,https://github.com/Trusted-AI/adversarial-robustness-toolbox,https://github.com/Trusted-AI/adversarial-robustness-toolbox,MIT,2018-03-15 14:40:43.000000,2021-02-24 23:17:23.000000,2021-02-19 23:53:35.000000,575,88.0,350.0,2026,,\"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..\",62.0,23,True,2021-02-20 01:11:16.000000,1.5.2,28.0,adversarial-robustness-toolbox,,,,,103.0,103.0,https://pypi.org/project/adversarial-robustness-toolbox,2021-02-20 00:34:52.000000,0.0,1398.0,1398.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n423,Enigma Catalyst,enigmampc/catalyst,,financial-data,https://github.com/enigmampc/catalyst,https://github.com/enigmampc/catalyst,Apache-2.0,2017-06-13 22:31:34.000000,2021-01-05 19:10:30.000000,2020-12-28 10:58:58.000000,600,135.0,363.0,2023,6362.0,An Algorithmic Trading Library for Crypto-Assets in Python.,144.0,23,True,2018-11-11 16:46:28.000000,0.5.21,52.0,enigma-catalyst,,,,,24.0,22.0,https://pypi.org/project/enigma-catalyst,2018-11-11 16:46:28.000000,2.0,892.0,892.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n424,Acme,deepmind/acme,,reinforcement-learning,https://github.com/deepmind/acme,https://github.com/deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000000,2021-02-24 18:51:48.000000,2021-02-23 11:16:39.000000,191,41.0,46.0,1943,359.0,A library of reinforcement learning components and agents.,34.0,23,True,2020-10-23 16:00:01.000000,0.2.0,9.0,dm-acme,,,,['tensorflow'],20.0,20.0,https://pypi.org/project/dm-acme,2020-10-23 16:00:01.000000,,530.0,530.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n425,PyFlux,RJT1990/pyflux,,time-series-data,https://github.com/RJT1990/pyflux,https://github.com/RJT1990/pyflux,BSD-3-Clause,2016-02-16 20:12:02.000000,2019-03-19 10:45:02.000000,2018-12-16 15:30:13.000000,209,79.0,65.0,1849,118.0,Open source time series library for Python.,6.0,23,False,2017-11-21 16:27:06.000000,0.4.16,35.0,pyflux,,,,,205.0,175.0,https://pypi.org/project/pyflux,2017-11-21 16:27:06.000000,30.0,8138.0,8138.0,,,,,,,,2.0,,,2.0,,,,,,,,,,,,,,,,,,,\n426,GluonTS,awslabs/gluon-ts,,time-series-data,https://github.com/awslabs/gluon-ts,https://github.com/awslabs/gluon-ts,Apache-2.0,2019-05-15 17:17:29.000000,2021-02-23 21:53:34.000000,2021-02-22 09:45:10.000000,367,180.0,362.0,1758,673.0,Probabilistic time series modeling in Python.,68.0,23,True,2021-02-18 17:19:41.000000,0.6.7,30.0,gluonts,,,,['mxnet'],0.0,,https://pypi.org/project/gluonts,2021-02-18 17:21:15.000000,0.0,13073.0,13073.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n427,Spektral,danielegrattarola/spektral,,graph,https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10.000000,2021-02-16 14:16:59.000000,2021-02-16 14:16:54.000000,198,18.0,108.0,1636,928.0,Graph Neural Networks with Keras and Tensorflow 2.,16.0,23,True,2021-01-07 18:03:04.000000,1.0.4,27.0,spektral,,,,\"['tensorflow\"\"']\",32.0,32.0,https://pypi.org/project/spektral,2021-01-07 18:03:04.000000,0.0,1994.0,1994.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n428,Pillow-SIMD,uploadcare/pillow-simd,,image,https://github.com/uploadcare/pillow-simd,https://github.com/uploadcare/pillow-simd,PIL,2014-11-12 15:33:02.000000,2021-02-11 10:12:55.000000,2020-06-02 14:50:14.000000,65,11.0,53.0,1552,,The friendly PIL fork.,310.0,23,False,2020-01-02 05:19:26.000000,7.0.0,35.0,pillow-simd,,,,,413.0,363.0,https://pypi.org/project/pillow-simd,2020-01-26 14:30:27.000000,50.0,16069.0,16069.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n429,Multicore-TSNE,DmitryUlyanov/Multicore-TSNE,,data-viz,https://github.com/DmitryUlyanov/Multicore-TSNE,https://github.com/DmitryUlyanov/Multicore-TSNE,BSD-3-Clause,2016-10-19 05:46:52.000000,2020-12-20 08:15:51.000000,2020-08-19 14:58:00.000000,199,36.0,20.0,1540,113.0,Parallel t-SNE implementation with Python and Torch wrappers.,15.0,23,True,2017-11-08 13:32:20.000000,0.0.1,3.0,MulticoreTSNE,conda-forge/multicore-tsne,,,['pytorch'],242.0,214.0,https://pypi.org/project/MulticoreTSNE,2019-01-09 07:23:04.000000,28.0,2050.0,2277.0,https://anaconda.org/conda-forge/multicore-tsne,2018-11-12 17:08:01.525000,6141.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n430,Pandaral·lel,nalepae/pandarallel,,data-containers,https://github.com/nalepae/pandarallel,https://github.com/nalepae/pandarallel,BSD-3-Clause,2019-03-10 11:58:29.000000,2021-02-04 21:35:01.000000,2021-02-04 21:27:26.000000,97,66.0,55.0,1419,114.0,A simple and efficient tool to parallelize Pandas operations on all availableCPUs.,14.0,23,True,2021-02-04 21:35:01.000000,1.5.2,29.0,pandarallel,,,,\"['pandas', 'jupyter']\",154.0,154.0,https://pypi.org/project/pandarallel,2021-02-04 21:35:01.000000,0.0,38121.0,38121.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n431,bonobo,python-bonobo/bonobo,,data-pipelines,https://github.com/python-bonobo/bonobo,https://github.com/python-bonobo/bonobo,Apache-2.0,2016-12-09 04:03:23.000000,2021-02-02 21:44:59.000000,2021-01-01 05:32:01.000000,110,63.0,108.0,1392,978.0,Extract Transform Load for Python 3.5+.,36.0,23,True,2019-05-16 13:19:48.000000,0.6.4,38.0,bonobo,,,http://docs.bonobo-project.org/en/master/,,163.0,111.0,https://pypi.org/project/bonobo,2019-07-20 13:33:19.000000,52.0,3115.0,3115.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n432,Magnitude,plasticityai/magnitude,,nn-search,https://github.com/plasticityai/magnitude,https://github.com/plasticityai/magnitude,MIT,2018-02-24 07:28:16.000000,2021-02-23 18:10:43.000000,2020-07-17 20:19:46.000000,99,26.0,50.0,1390,350.0,\"A fast, efficient universal vector embedding utility package.\",4.0,23,True,2020-05-25 11:26:36.000000,0.1.143,128.0,pymagnitude,,,,,191.0,177.0,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36.000000,14.0,2023.0,2023.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n433,fklearn,nubank/fklearn,,ml-frameworks,https://github.com/nubank/fklearn,https://github.com/nubank/fklearn,Apache-2.0,2019-02-27 14:32:57.000000,2021-02-09 20:46:53.000000,2021-02-09 20:46:53.000000,149,19.0,20.0,1303,117.0,fklearn: Functional Machine Learning.,37.0,23,True,2021-02-09 17:12:04.000000,1.22.0,20.0,fklearn,,,,,10.0,10.0,https://pypi.org/project/fklearn,2021-02-09 17:12:04.000000,,2314.0,2314.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n434,TextAttack,QData/TextAttack,,adversarial,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000000,2021-02-24 17:05:16.000000,2021-02-24 17:05:16.000000,135,26.0,82.0,1268,1935.0,\"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP.\",31.0,23,True,2020-12-27 05:23:02.000000,0.2.15,35.0,textattack,,,,,17.0,17.0,https://pypi.org/project/textattack,2020-12-27 05:23:02.000000,0.0,831.0,831.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n435,garage,rlworkgroup/garage,,reinforcement-learning,https://github.com/rlworkgroup/garage,https://github.com/rlworkgroup/garage,MIT,2018-06-10 21:31:23.000000,2021-02-25 01:26:26.000000,2021-02-22 20:07:49.000000,200,182.0,775.0,1081,1198.0,A toolkit for reproducible reinforcement learning research.,73.0,23,True,2020-09-17 07:34:11.000000,2020.6.3,21.0,garage,,,,['tensorflow'],13.0,13.0,https://pypi.org/project/garage,2020-10-02 17:16:03.000000,0.0,167.0,167.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n436,Optimus,ironmussa/Optimus,,data-pipelines,https://github.com/ironmussa/Optimus,https://github.com/ironmussa/Optimus,Apache-2.0,2017-07-13 02:31:18.000000,2021-02-24 23:53:51.000000,2021-02-24 23:53:34.000000,190,139.0,165.0,980,3520.0,\"Agile Data Preparation Workflows madeeasy with dask, cudf, dask_cudf and pyspark.\",21.0,23,True,2020-07-19 03:05:40.000000,2.2.32,85.0,optimuspyspark,,,,['spark'],13.0,13.0,https://pypi.org/project/optimuspyspark,2019-05-30 02:22:54.000000,,3316.0,3316.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n437,fancyimpute,iskandr/fancyimpute,,sklearn-utils,https://github.com/iskandr/fancyimpute,https://github.com/iskandr/fancyimpute,Apache-2.0,2015-11-05 23:39:34.000000,2021-01-25 00:27:52.000000,2021-01-25 00:27:51.000000,145,4.0,103.0,932,198.0,Multivariate imputation and matrix completion algorithms implemented in Python.,11.0,23,True,2020-07-16 21:36:59.000000,0.5.5,26.0,fancyimpute,,,,['sklearn'],767.0,725.0,https://pypi.org/project/fancyimpute,2020-07-16 21:36:59.000000,42.0,10183.0,10183.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n438,ChainerRL,chainer/chainerrl,,reinforcement-learning,https://github.com/chainer/chainerrl,https://github.com/chainer/chainerrl,MIT,2017-01-30 04:58:15.000000,2020-12-09 06:26:53.000000,2020-12-09 06:26:52.000000,204,75.0,146.0,928,3458.0,ChainerRL is a deep reinforcement learning library built on top of Chainer.,29.0,23,True,2020-02-14 05:35:56.000000,0.8.0,10.0,chainerrl,,,,,104.0,90.0,https://pypi.org/project/chainerrl,2020-02-14 05:35:56.000000,14.0,297.0,297.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n439,luminol,linkedin/luminol,,time-series-data,https://github.com/linkedin/luminol,https://github.com/linkedin/luminol,Apache-2.0,2015-11-18 23:16:33.000000,2020-12-27 09:54:35.000000,2018-01-09 07:46:55.000000,179,24.0,12.0,880,69.0,Anomaly Detection and Correlation library.,8.0,23,False,2016-01-20 01:01:44.000000,0.3.1,5.0,luminol,,,,,51.0,37.0,https://pypi.org/project/luminol,2017-12-11 06:04:15.000000,14.0,178481.0,178481.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n440,openTSNE,pavlin-policar/openTSNE,,data-viz,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000000,2021-01-08 15:19:01.004000,2021-01-08 11:25:11.000000,82,5.0,68.0,751,509.0,\"Extensible, parallel implementations of t-SNE.\",10.0,23,True,2021-01-08 12:20:43.000000,0.5.1,19.0,opentsne,conda-forge/opentsne,,,,188.0,184.0,https://pypi.org/project/opentsne,2021-01-08 12:20:43.000000,4.0,10630.0,13669.0,https://anaconda.org/conda-forge/opentsne,2021-01-08 15:19:01.004000,79038.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n441,GPyOpt,SheffieldML/GPyOpt,,hyperopt,https://github.com/SheffieldML/GPyOpt,https://github.com/SheffieldML/GPyOpt,BSD-3-Clause,2014-08-13 09:58:25.000000,2020-11-17 10:32:02.000000,2020-11-05 15:16:04.000000,218,100.0,186.0,714,514.0,Gaussian Process Optimization using GPy.,49.0,23,True,2020-03-19 21:21:18.000000,1.2.6,11.0,gpyopt,,,,,214.0,178.0,https://pypi.org/project/gpyopt,2020-03-19 11:37:45.000000,36.0,3743.0,3743.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n442,arch,bashtage/arch,,financial-data,https://github.com/bashtage/arch,https://github.com/bashtage/arch,NCSA,2014-08-29 15:41:28.000000,2021-02-25 12:19:25.000000,2021-02-25 12:16:10.000000,159,16.0,126.0,646,,ARCH models in Python.,26.0,23,False,2021-02-08 23:12:20.000000,4.16.1,29.0,arch,,,,,292.0,250.0,https://pypi.org/project/arch,2021-02-08 23:12:20.000000,42.0,21872.0,21872.0,,,,,,,,3.0,,,-2.0,,,,,,,,,,,,,,,,,,,\n443,CellProfiler,CellProfiler/CellProfiler,,image,https://github.com/CellProfiler/CellProfiler,https://github.com/CellProfiler/CellProfiler,BSD-3-Clause,2011-04-05 12:10:12.000000,2021-02-19 16:37:05.000000,2021-02-19 16:37:05.000000,271,156.0,2782.0,543,15307.0,An open-source application for biological image analysis.,119.0,23,True,2021-02-16 21:59:54.000000,4.1.3,41.0,cellprofiler,,,,,3.0,3.0,https://pypi.org/project/cellprofiler,2017-09-04 18:03:36.000000,,175.0,183.0,,,,,,,,3.0,706.0,,,,,,,,,,,,,,,,,,,,,\n444,PDPbox,SauceCat/PDPbox,,data-viz,https://github.com/SauceCat/PDPbox,https://github.com/SauceCat/PDPbox,MIT,2017-06-26 08:01:54.000000,2021-01-13 08:25:09.000000,2018-12-08 10:06:13.000000,85,37.0,17.0,534,223.0,python partial dependence plot toolbox.,7.0,23,False,2018-07-23 13:33:35.000000,0.2.0,2.0,pdpbox,conda-forge/pdpbox,,,,357.0,323.0,https://pypi.org/project/pdpbox,2018-07-23 13:33:35.000000,34.0,28785.0,29100.0,https://anaconda.org/conda-forge/pdpbox,2019-07-17 16:58:38.379000,5991.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n445,combo,yzhao062/combo,,sklearn-utils,https://github.com/yzhao062/combo,https://github.com/yzhao062/combo,BSD-2-Clause,2019-07-14 01:13:36.000000,2020-12-23 14:27:11.000000,2020-12-23 14:27:05.000000,81,8.0,3.0,476,201.0,(AAAI' 20) A Python Toolbox for Machine Learning Model Combination.,1.0,23,True,2020-12-23 02:21:49.000000,0.1.2,12.0,combo,,,,\"['sklearn', 'xgboost']\",278.0,278.0,https://pypi.org/project/combo,2020-12-23 02:21:49.000000,0.0,43297.0,43297.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n446,Caer,jasmcaus/caer,,image,https://github.com/jasmcaus/caer,https://github.com/jasmcaus/caer,MIT,2020-08-06 18:36:14.000000,2021-02-08 18:17:31.000000,2021-02-08 18:17:22.000000,62,5.0,8.0,440,4867.0,\"A lightweight Computer Vision library. Scale your models, not boilerplate.\",4.0,23,True,2021-01-28 14:06:10.000000,1.9.8,109.0,caer,,,https://caer.rtfd.io,,0.0,,https://pypi.org/project/caer,2021-01-28 14:06:10.000000,0.0,542274.0,542276.0,,,,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,,,,\n447,python-ternary,marcharper/python-ternary,,data-viz,https://github.com/marcharper/python-ternary,https://github.com/marcharper/python-ternary,MIT,2012-08-07 23:48:55.000000,2021-02-17 22:38:55.625000,2021-02-17 18:21:08.000000,111,25.0,78.0,395,384.0,Ternary plotting library for python with matplotlib.,25.0,23,True,2021-02-17 18:38:15.000000,1.0.8,11.0,python-ternary,conda-forge/python-ternary,,,,79.0,59.0,https://pypi.org/project/python-ternary,2021-02-17 18:38:15.000000,20.0,738.0,1584.0,https://anaconda.org/conda-forge/python-ternary,2021-02-17 22:38:55.625000,49090.0,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,,,,\n448,messytables,okfn/messytables,,data-loading,https://github.com/okfn/messytables,https://github.com/okfn/messytables,MIT,2011-07-27 18:08:21.000000,2021-01-07 22:24:38.000000,2019-11-13 07:35:33.000000,97,30.0,55.0,361,601.0,Tools for parsing messy tabular data. This is now superseded by https://github.com/frictionlessdata/tabulator-py.,44.0,23,False,2017-02-09 12:37:47.000000,0.15.2,26.0,messytables,,,,,406.0,174.0,https://pypi.org/project/messytables,2017-02-09 12:37:47.000000,232.0,4583.0,4583.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n449,GeoViews,holoviz/geoviews,,geospatial-data,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000000,2020-11-13 20:59:34.000000,2020-09-21 16:31:16.000000,60,79.0,169.0,331,635.0,\"Simple, concise geographical visualization in Python.\",22.0,23,True,2020-09-23 18:59:07.000000,1.8.0,21.0,geoviews,conda-forge/geoviews,,,,227.0,207.0,https://pypi.org/project/geoviews,2020-03-30 19:17:21.000000,20.0,1885.0,3553.0,https://anaconda.org/conda-forge/geoviews,2020-09-23 20:06:48.808000,58412.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n450,NIPY,nipy/nipy,,medical-data,https://github.com/nipy/nipy,https://github.com/nipy/nipy,BSD-3-Clause,2010-05-02 10:00:33.000000,2021-02-24 19:47:33.000000,2021-02-24 18:49:09.000000,123,43.0,107.0,291,6396.0,Neuroimaging in Python FMRI analysis package.,63.0,23,True,2018-02-19 14:14:08.000000,0.4.2,6.0,nipy,conda-forge/nipy,,,,82.0,,https://pypi.org/project/nipy,2018-02-19 14:14:08.000000,82.0,498.0,2190.0,https://anaconda.org/conda-forge/nipy,2020-05-04 19:38:04.112000,72771.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n451,pySBD,nipunsadvilkar/pySBD,,nlp,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20.000000,2021-02-11 16:42:37.000000,2021-02-11 16:40:18.000000,26,4.0,47.0,282,279.0,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,6.0,23,True,2021-02-11 16:42:37.000000,0.3.4,15.0,pysbd,,,,,110.0,106.0,https://pypi.org/project/pysbd,2021-02-11 16:36:33.000000,4.0,10778.0,10778.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n452,pysparkling,svenkreiss/pysparkling,,data-pipelines,https://github.com/svenkreiss/pysparkling,https://github.com/svenkreiss/pysparkling,MIT,2015-05-09 19:23:20.000000,2021-02-22 17:29:11.000000,2021-02-22 17:29:11.000000,43,5.0,21.0,232,1527.0,A pure Python implementation of Apache Spark's RDD and DStream interfaces.,10.0,23,True,2021-01-10 21:15:26.000000,0.6.1,68.0,pysparkling,,,,,72.0,58.0,https://pypi.org/project/pysparkling,2021-01-10 21:15:26.000000,14.0,5401.0,5401.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n453,PaddleHub,PaddlePaddle/PaddleHub,,others,https://github.com/PaddlePaddle/PaddleHub,https://github.com/PaddlePaddle/PaddleHub,Apache-2.0,2018-12-21 06:00:48.000000,2021-02-25 12:38:03.000000,2021-02-25 06:18:53.000000,1032,297.0,390.0,4595,,\"Awesome pre-trained models toolkit based on PaddlePaddle.200+ models including Image, Text, Audio and Video with Easy..\",33.0,22,True,2021-02-05 07:45:45.000000,2.0.0,40.0,paddlehub,,,,['paddle'],102.0,102.0,https://pypi.org/project/paddlehub,2021-02-05 07:35:31.000000,0.0,842.0,861.0,,,,,,,,3.0,439.0,,,,,,,,,,,,,,,,,,,,,\n454,neon,NervanaSystems/neon,,ml-frameworks,https://github.com/NervanaSystems/neon,https://github.com/NervanaSystems/neon,Apache-2.0,2014-10-16 01:00:17.000000,2020-12-23 01:21:42.000000,2019-05-22 18:27:54.000000,848,87.0,305.0,3851,1118.0,Intel Nervana reference deep learning framework committed to best performance on all hardware.,109.0,22,False,2018-01-05 23:25:04.000000,2.6.0,32.0,nervananeon,,,,,42.0,41.0,https://pypi.org/project/nervananeon,2018-01-05 23:25:04.000000,1.0,78.0,81.0,,,,,,,,3.0,255.0,,,,,,,,,,,,,,,,,,,,,\n455,Image Deduplicator,idealo/imagededup,,image,https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54.000000,2020-12-21 13:30:38.000000,2020-11-23 17:40:40.000000,283,20.0,53.0,3396,460.0,Finding duplicate images made easy!.,9.0,22,True,2020-11-23 17:55:24.000000,0.2.4,9.0,imagededup,,,,['tensorflow'],11.0,9.0,https://pypi.org/project/imagededup,2020-11-22 21:09:36.000000,2.0,969.0,969.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n456,TensorWatch,microsoft/tensorwatch,,ml-experiments,https://github.com/microsoft/tensorwatch,https://github.com/microsoft/tensorwatch,MIT,2019-05-15 08:29:34.000000,2021-02-10 08:45:14.000000,2021-01-15 19:46:05.000000,318,49.0,15.0,3038,112.0,\"Debugging, monitoring and visualization for Python Machine Learning and Data Science.\",13.0,22,True,2020-03-04 07:26:22.000000,0.9.1,14.0,tensorwatch,,,,,51.0,45.0,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22.000000,6.0,6019.0,6019.0,,,,,,,,3.0,,,-1.0,,,,,,,,,,,,,,,,,,,\n457,Porcupine,Picovoice/Porcupine,,audio,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000000,2021-02-20 00:10:16.000000,2021-02-20 00:10:11.000000,334,7.0,277.0,2357,385.0,On-device wake word detection powered by deep learning.,25.0,22,True,2020-12-02 16:07:33.000000,1.9.0,14.0,pvporcupine,,,,,5.0,5.0,https://pypi.org/project/pvporcupine,2020-12-02 16:07:33.000000,0.0,492.0,492.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n458,analytics-zoo,intel-analytics/analytics-zoo,,distributed-ml,https://github.com/intel-analytics/analytics-zoo,https://github.com/intel-analytics/analytics-zoo,Apache-2.0,2017-05-05 02:27:30.000000,2021-02-25 14:35:07.000000,2021-02-25 12:21:05.000000,634,443.0,538.0,2203,2590.0,\"Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray.\",83.0,22,True,2020-12-17 03:25:36.000000,0.9.0,54.0,analytics-zoo,,,,['spark'],2.0,2.0,https://pypi.org/project/analytics-zoo,2021-02-21 16:16:23.000000,,450.0,450.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n459,D-Tale,man-group/dtale,,data-viz,https://github.com/man-group/dtale,https://github.com/man-group/dtale,LGPL-2.1,2019-07-15 09:34:48.000000,2021-02-25 05:36:47.000000,2021-02-25 04:37:55.000000,145,33.0,280.0,2075,352.0,Visualizer for pandas data structures.,13.0,22,True,2021-02-19 03:10:44.000000,1.36.0,103.0,dtale,conda-forge/dtale,,,\"['pandas', 'jupyter']\",100.0,100.0,https://pypi.org/project/dtale,2021-02-19 03:09:02.000000,0.0,3311.0,6388.0,https://anaconda.org/conda-forge/dtale,2021-02-19 03:36:35.030000,36932.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n460,TF Ranking,tensorflow/ranking,,recommender-systems,https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57.000000,2021-02-04 05:28:32.000000,2021-02-04 05:28:28.000000,366,26.0,202.0,2050,325.0,Learning to Rank in TensorFlow.,20.0,22,True,2021-02-02 16:58:47.000000,0.3.3,15.0,tensorflow_ranking,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow_ranking,2021-01-30 02:05:46.000000,2.0,16855.0,16855.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n461,knockknock,huggingface/knockknock,,ml-experiments,https://github.com/huggingface/knockknock,https://github.com/huggingface/knockknock,MIT,2019-03-20 13:08:55.000000,2021-01-09 06:11:00.000000,2020-03-16 04:26:47.000000,159,12.0,21.0,1985,75.0,Knock Knock: Get notified when your training ends with only two additional lines of code.,18.0,22,True,2020-03-04 04:15:47.000000,0.1.8,10.0,knockknock,conda-forge/knockknock,,,,143.0,140.0,https://pypi.org/project/knockknock,2020-03-16 14:30:23.000000,3.0,1645.0,1993.0,https://anaconda.org/conda-forge/knockknock,2020-03-17 01:52:16.317000,5572.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n462,scikit-opt,guofei9987/scikit-opt,,sklearn-utils,https://github.com/guofei9987/scikit-opt,https://github.com/guofei9987/scikit-opt,MIT,2017-12-05 10:20:41.000000,2021-02-02 07:04:40.000000,2021-02-02 07:04:39.000000,464,24.0,62.0,1982,238.0,\"Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune..\",8.0,22,True,2020-11-20 12:55:12.000000,0.6.1,18.0,scikit-opt,,,,['sklearn'],28.0,25.0,https://pypi.org/project/scikit-opt,2020-11-20 12:52:22.000000,3.0,362.0,362.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n463,MONAI,Project-MONAI/MONAI,,medical-data,https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000000,2021-02-25 15:10:19.000000,2021-02-25 11:45:40.000000,312,78.0,630.0,1795,794.0,AI Toolkit for Healthcare Imaging.,54.0,22,True,2020-12-15 15:21:13.000000,0.4.0,15.0,monai,,,,['pytorch'],,,https://pypi.org/project/monai,2020-12-15 15:16:56.000000,,2678.0,2678.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n464,DDSP,magenta/ddsp,,audio,https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27.000000,2021-02-20 00:58:15.000000,2021-02-20 00:58:05.000000,173,15.0,90.0,1771,352.0,DDSP: Differentiable Digital Signal Processing.,24.0,22,True,2021-01-14 01:59:27.000000,1.0.1,28.0,ddsp,,,,['tensorflow'],5.0,5.0,https://pypi.org/project/ddsp,2021-01-14 01:59:27.000000,,783.0,783.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n465,m2cgen,BayesWitnesses/m2cgen,,model-serialisation,https://github.com/BayesWitnesses/m2cgen,https://github.com/BayesWitnesses/m2cgen,MIT,2019-01-13 02:32:55.000000,2021-02-18 05:15:15.000000,2020-10-07 17:33:12.000000,153,36.0,36.0,1755,227.0,\"Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart,..\",12.0,22,True,2020-09-18 19:17:26.000000,0.9.0,12.0,m2cgen,,,,,5.0,5.0,https://pypi.org/project/m2cgen,2020-09-18 19:16:17.000000,,5846.0,5846.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n466,Essentia,MTG/essentia,,audio,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000000,2021-02-24 10:03:50.000000,2021-02-23 12:38:26.000000,397,307.0,569.0,1736,2765.0,\"C++ library for audio and music analysis, description and synthesis, including Python bindings.\",70.0,22,False,2015-03-31 16:33:30.000000,2.0,9.0,essentia,,,,,169.0,159.0,https://pypi.org/project/essentia,2021-01-13 00:12:18.000000,10.0,1002.0,1002.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n467,vidgear,abhiTronix/vidgear,,image,https://github.com/abhiTronix/vidgear,https://github.com/abhiTronix/vidgear,Apache-2.0,2019-03-17 02:42:42.000000,2021-02-05 11:26:46.000000,2021-01-01 04:26:42.000000,114,5.0,131.0,1649,547.0,High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features.,5.0,22,True,2021-01-01 07:57:09.000000,0.2.0,12.0,vidgear,,,,,88.0,86.0,https://pypi.org/project/vidgear,2021-01-01 07:57:09.000000,2.0,791.0,804.0,,,,,,,,3.0,312.0,,,,,,,,,,,,,,,,,,,,,\n468,scattertext,JasonKessler/scattertext,,nlp,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12.000000,2021-02-08 22:51:45.000000,2021-02-08 22:51:45.000000,205,17.0,57.0,1517,339.0,Beautiful visualizations of how language differs among document types.,10.0,22,True,2017-03-13 05:31:21.000000,0.0.2.4.4,129.0,scattertext,conda-forge/scattertext,,,,170.0,154.0,https://pypi.org/project/scattertext,2021-01-18 09:01:42.000000,16.0,1371.0,2434.0,https://anaconda.org/conda-forge/scattertext,2021-01-18 15:00:35.497000,44650.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n469,cleanlab,cgnorthcutt/cleanlab,,others,https://github.com/cgnorthcutt/cleanlab,https://github.com/cgnorthcutt/cleanlab,MIT,2018-05-11 01:55:21.000000,2021-02-14 20:40:18.000000,2021-02-14 20:40:18.000000,159,17.0,35.0,1503,717.0,The standard package for machine learning with noisy labels and finding mislabeled data in Python.,5.0,22,True,2020-02-17 07:33:06.000000,0.1.1,15.0,cleanlab,,,,,10.0,10.0,https://pypi.org/project/cleanlab,2020-02-17 07:33:06.000000,,2034.0,2034.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n470,anaGo,Hironsan/anago,,nlp,https://github.com/Hironsan/anago,https://github.com/Hironsan/anago,MIT,2017-06-26 21:28:36.000000,2021-02-02 21:42:33.000000,2019-10-23 03:19:52.000000,354,36.0,71.0,1385,296.0,\"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.\",11.0,22,False,2018-07-17 01:59:21.000000,1.0.8,14.0,anago,,,,['tensorflow'],30.0,25.0,https://pypi.org/project/anago,2018-07-17 01:59:21.000000,5.0,2315.0,2315.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n471,Pypeline,cgarciae/pypeln,,data-pipelines,https://github.com/cgarciae/pypeln,https://github.com/cgarciae/pypeln,MIT,2018-09-01 13:43:31.000000,2021-01-05 18:00:20.000000,2021-01-05 17:59:44.000000,66,12.0,35.0,1211,234.0,Concurrent data pipelines in Python .,9.0,22,True,2021-01-05 18:00:06.000000,0.4.7,34.0,pypeln,,,,,10.0,,https://pypi.org/project/pypeln,2021-01-05 18:00:06.000000,10.0,3399.0,3399.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n472,metric-learn,scikit-learn-contrib/metric-learn,,others,https://github.com/scikit-learn-contrib/metric-learn,https://github.com/scikit-learn-contrib/metric-learn,MIT,2013-11-02 08:29:47.000000,2020-08-04 01:35:49.000000,2020-08-04 01:35:39.000000,205,47.0,109.0,1115,263.0,Metric learning algorithms in Python.,19.0,22,True,2020-07-02 12:59:23.000000,0.6.2,10.0,metric-learn,,,,['sklearn'],139.0,121.0,https://pypi.org/project/metric-learn,2020-07-02 12:59:23.000000,18.0,7734.0,7734.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n473,FARM,deepset-ai/FARM,,nlp,https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12.000000,2021-02-25 14:33:42.000000,2021-02-24 07:46:33.000000,161,32.0,304.0,1111,541.0,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,31.0,22,True,2021-02-22 17:44:33.000000,0.7.0,23.0,farm,,,,['pytorch'],2.0,,https://pypi.org/project/farm,2021-02-22 17:30:04.000000,2.0,2741.0,2741.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n474,pycm,sepandhaghighi/pycm,,others,https://github.com/sepandhaghighi/pycm,https://github.com/sepandhaghighi/pycm,MIT,2018-01-22 19:46:54.000000,2021-02-24 12:29:14.000000,2020-10-26 15:51:32.000000,91,17.0,150.0,1060,2508.0,Multi-class confusion matrix library in Python.,14.0,22,True,2020-10-26 16:31:56.000000,3.0,34.0,pycm,,,,,101.0,91.0,https://pypi.org/project/pycm,2020-10-26 16:32:30.000000,10.0,2591.0,2591.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n475,bt,pmorissette/bt,,financial-data,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28.000000,2021-02-25 12:24:55.000000,2021-02-25 12:24:55.000000,264,53.0,171.0,967,412.0,bt - flexible backtesting for Python.,20.0,22,True,2021-02-01 05:24:40.000000,0.2.8,24.0,bt,,,,,65.0,45.0,https://pypi.org/project/bt,2021-02-01 05:24:40.000000,20.0,1061.0,1061.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n476,pandasql,yhat/pandasql,,data-containers,https://github.com/yhat/pandasql,https://github.com/yhat/pandasql,MIT,2013-02-18 01:53:56.000000,2020-08-14 13:00:13.000000,2017-02-01 15:40:30.000000,141,44.0,23.0,945,127.0,sqldf for pandas.,15.0,22,False,2016-04-20 21:52:36.000000,0.7.3,31.0,pandasql,,,,['pandas'],755.0,657.0,https://pypi.org/project/pandasql,2016-04-20 21:52:36.000000,98.0,126791.0,126791.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n477,Alibi,SeldonIO/alibi,,interpretability,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Apache-2.0,2019-02-26 10:10:56.000000,2021-02-18 12:55:04.000000,2021-02-18 12:55:04.000000,109,69.0,81.0,898,239.0,Algorithms for monitoring and explaining machine learning models.,11.0,22,True,2021-02-18 12:50:04.000000,0.5.6,16.0,alibi,,,,,79.0,61.0,https://pypi.org/project/alibi,2021-02-18 12:48:56.000000,18.0,2977.0,2977.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n478,FinTA,peerchemist/finta,,financial-data,https://github.com/peerchemist/finta,https://github.com/peerchemist/finta,LGPL-3.0,2016-09-01 21:02:46.000000,2021-01-28 17:17:10.000000,2021-01-28 17:16:53.000000,291,10.0,59.0,865,368.0,Common financial technical indicators implemented in Pandas.,22.0,22,False,2020-10-21 11:36:19.000000,1.2,19.0,finta,,,,,59.0,55.0,https://pypi.org/project/finta,2020-10-21 11:39:44.000000,4.0,3072.0,3072.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n479,keract,philipperemy/keract,,interpretability,https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57.000000,2021-02-04 06:05:42.000000,2021-01-24 05:36:29.000000,175,2.0,75.0,854,359.0,Activation Maps (Layers Outputs) and Gradients in Keras.,15.0,22,True,2021-01-22 09:01:30.000000,4.4.0,37.0,keract,,,,['tensorflow'],76.0,71.0,https://pypi.org/project/keract,2021-01-22 09:01:30.000000,5.0,787.0,787.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n480,scikit-cuda,lebedov/scikit-cuda,,gpu-utilities,https://github.com/lebedov/scikit-cuda,https://github.com/lebedov/scikit-cuda,BSD-3-Clause,2010-09-27 02:02:07.000000,2021-02-17 17:00:37.000000,2021-02-17 17:00:27.000000,155,41.0,164.0,799,1027.0,Python interface to GPU-powered libraries.,44.0,22,True,2019-05-27 00:29:00.000000,0.5.3,7.0,scikit-cuda,,,,,185.0,115.0,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00.000000,70.0,503.0,503.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n481,minisom,JustGlowing/minisom,,others,https://github.com/JustGlowing/minisom,https://github.com/JustGlowing/minisom,CC-BY-3.0,2013-07-03 10:10:06.000000,2021-02-25 11:00:07.000000,2021-02-25 11:00:07.000000,249,6.0,64.0,777,429.0,MiniSom is a minimalistic implementation of the Self Organizing Maps.,20.0,22,False,2020-11-03 08:23:06.000000,2.2.7,14.0,minisom,,,,,155.0,147.0,https://pypi.org/project/minisom,2020-06-19 06:29:59.000000,8.0,2770.0,2770.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n482,iNNvestigate,albermax/innvestigate,,interpretability,https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20.000000,2020-12-30 15:22:24.000000,2020-10-16 15:26:56.000000,172,72.0,129.0,774,882.0,A toolbox to iNNvestigate neural networks' predictions!.,18.0,22,True,2020-11-14 11:35:59.000000,1.0.9,2.0,innvestigate,,,,['tensorflow'],51.0,50.0,https://pypi.org/project/innvestigate,2020-11-14 11:35:59.000000,1.0,256.0,256.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n483,Explainability 360,Trusted-AI/AIX360,,interpretability,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48.000000,2020-12-04 16:51:14.000000,2020-12-04 16:49:39.000000,168,26.0,18.0,770,305.0,Interpretability and explainability of data and machine learning models.,27.0,22,True,2020-10-28 09:32:21.000000,0.2.1,4.0,aix360,,,,,14.0,13.0,https://pypi.org/project/aix360,2020-10-28 09:18:17.000000,1.0,483.0,483.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n484,ogb,snap-stanford/ogb,,graph,https://github.com/snap-stanford/ogb,https://github.com/snap-stanford/ogb,MIT,2019-11-22 22:13:57.000000,2021-02-24 21:45:40.000000,2021-02-24 20:57:20.000000,117,,92.0,748,405.0,\"Benchmark datasets, data loaders, and evaluators for graph machine learning.\",12.0,22,True,2021-02-24 21:12:21.000000,1.2.5,11.0,ogb,,,,,55.0,55.0,https://pypi.org/project/ogb,2021-02-24 21:01:30.000000,0.0,1769.0,1769.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n485,Opacus,pytorch/opacus,,privacy-ml,https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000000,2021-02-25 13:05:44.000000,2021-02-25 03:34:42.000000,99,9.0,54.0,739,218.0,Training PyTorch models with differential privacy.,25.0,22,True,2020-12-17 17:30:40.000000,0.11.0,6.0,opacus,,,,['pytorch'],13.0,13.0,https://pypi.org/project/opacus,2020-12-17 17:30:40.000000,0.0,2774.0,2777.0,,,,,,,,2.0,30.0,,,,,,,,,,,,,,,,,,,,,\n486,Darts,unit8co/darts,,time-series-data,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000000,2021-02-24 19:26:38.000000,2021-02-03 09:28:07.000000,96,21.0,47.0,737,314.0,A python library for easy manipulation and forecasting of time series.,23.0,22,True,2021-02-03 11:18:37.000000,0.6.1,10.0,u8darts,,unit8/darts,,,12.0,12.0,https://pypi.org/project/u8darts,2021-02-03 11:18:37.000000,0.0,4310.0,4313.0,,,,https://hub.docker.com/r/unit8/darts,2021-02-03 09:39:53.970650,,101.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n487,AstroML,astroML/astroML,,others,https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50.000000,2021-02-24 20:37:43.000000,2021-02-24 20:37:43.000000,248,48.0,80.0,730,,\"Machine learning, statistics, and data mining for astronomy and astrophysics.\",29.0,22,True,2019-10-02 06:32:58.000000,0.4.1,10.0,astroML,conda-forge/astroml,,,['sklearn'],191.0,162.0,https://pypi.org/project/astroML,2020-03-23 23:20:49.000000,29.0,693.0,1213.0,https://anaconda.org/conda-forge/astroml,2020-02-16 04:18:54.678000,21872.0,,,,,3.0,,,-2.0,,,,,,,,,,,,,,,,,,,\n488,kapre,keunwoochoi/kapre,,audio,https://github.com/keunwoochoi/kapre,https://github.com/keunwoochoi/kapre,MIT,2016-12-14 18:36:36.000000,2021-02-22 13:28:35.000000,2020-11-16 17:11:54.000000,129,5.0,80.0,717,188.0,kapre: Keras Audio Preprocessors.,13.0,22,True,2020-09-29 18:49:13.000000,0.3.4,21.0,kapre,,,,['tensorflow'],536.0,525.0,https://pypi.org/project/kapre,2020-09-29 18:49:13.000000,11.0,840.0,840.0,,,,,,,,3.0,8.0,,,,,,,,,,,,,,,,,,,,,\n489,gmaps,pbugnion/gmaps,,geospatial-data,https://github.com/pbugnion/gmaps,https://github.com/pbugnion/gmaps,BSD-3-Clause,2014-12-01 09:12:06.000000,2020-10-13 07:09:18.000000,2019-07-22 06:22:45.000000,143,66.0,135.0,701,1380.0,Google maps for Jupyter notebooks.,16.0,22,False,2019-07-21 08:49:48.715000,0.9.0,94.0,gmaps,conda-forge/gmaps,,,['jupyter'],75.0,1.0,https://pypi.org/project/gmaps,2019-07-21 08:49:39.000000,74.0,3264.0,9287.0,https://anaconda.org/conda-forge/gmaps,2019-08-02 11:56:50.940000,207781.0,,,,,3.0,,,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715000,,1406.0,,,,,,,,,,,,,,\n490,GPUtil,anderskm/gputil,,gpu-utilities,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43.000000,2020-10-01 05:42:49.000000,2019-08-16 09:00:15.000000,76,10.0,14.0,674,140.0,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,13.0,22,False,2018-12-18 09:12:13.000000,1.4.0,8.0,gputil,,,,,1116.0,1014.0,https://pypi.org/project/gputil,2018-12-18 09:12:13.000000,102.0,40859.0,40859.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n491,Node2Vec,eliorc/node2vec,,graph,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000000,2021-01-09 08:40:34.000000,2021-01-09 08:39:26.000000,166,,48.0,645,48.0,Implementation of the node2vec algorithm.,7.0,22,True,2021-01-09 08:40:34.000000,0.4.1,13.0,node2vec,conda-forge/node2vec,,,,124.0,114.0,https://pypi.org/project/node2vec,2021-01-09 08:38:24.000000,10.0,3121.0,3602.0,https://anaconda.org/conda-forge/node2vec,2020-04-25 22:41:13.714000,15874.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n492,TreeInterpreter,andosa/treeinterpreter,,interpretability,https://github.com/andosa/treeinterpreter,https://github.com/andosa/treeinterpreter,BSD-3-Clause,2015-08-02 20:26:21.000000,2021-02-18 22:42:10.000000,2021-01-10 20:14:03.000000,133,25.0,3.0,641,35.0,Package for interpreting scikit-learn's decision tree and random forest predictions.,10.0,22,True,2021-01-10 20:12:39.000000,0.2.3,5.0,treeinterpreter,,,,['sklearn'],138.0,120.0,https://pypi.org/project/treeinterpreter,2021-01-10 20:12:39.000000,18.0,58699.0,58699.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n493,pingouin,raphaelvallat/pingouin,,probabilistics,https://github.com/raphaelvallat/pingouin,https://github.com/raphaelvallat/pingouin,GPL-3.0,2018-04-01 01:10:22.000000,2021-02-16 07:48:18.164000,2021-02-16 05:30:03.000000,53,13.0,114.0,637,1070.0,Statistical package in Python based on Pandas.,17.0,22,False,2021-02-16 05:46:44.000000,0.3.10,32.0,pingouin,conda-forge/pingouin,,,,181.0,171.0,https://pypi.org/project/pingouin,2021-02-16 05:37:08.000000,10.0,10467.0,11683.0,https://anaconda.org/conda-forge/pingouin,2021-02-16 07:48:18.164000,31639.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n494,scikit-multilearn,scikit-multilearn/scikit-multilearn,,sklearn-utils,https://github.com/scikit-multilearn/scikit-multilearn,https://github.com/scikit-multilearn/scikit-multilearn,BSD-2-Clause,2014-04-30 13:05:44.000000,2020-06-30 10:19:46.000000,2019-05-21 11:29:06.000000,119,64.0,92.0,633,487.0,A scikit-learn based module for multi-label et. al. classification.,15.0,22,False,2018-12-10 16:24:47.000000,0.2.0,6.0,scikit-multilearn,,,,['sklearn'],383.0,361.0,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47.000000,22.0,30892.0,30892.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n495,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,,data-viz,https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14.000000,2021-01-27 21:04:48.000000,2021-01-27 20:56:22.000000,77,21.0,53.0,616,262.0,Bokeh Plotting Backend for Pandas and GeoPandas.,11.0,22,True,2021-01-27 21:04:48.000000,0.5.3,14.0,pandas-bokeh,,,,['pandas'],142.0,132.0,https://pypi.org/project/pandas-bokeh,2021-01-27 21:04:48.000000,10.0,4519.0,4519.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n496,Prince,MaxHalford/prince,,others,https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000000,2021-02-24 22:35:15.000000,2021-01-11 21:14:58.000000,113,26.0,64.0,574,179.0,\"Python factor analysis library (PCA, CA, MCA, MFA, FAMD).\",9.0,22,True,2020-10-06 11:26:47.000000,0.7.1,41.0,prince,,,,['sklearn'],114.0,108.0,https://pypi.org/project/prince,2020-10-06 11:26:47.000000,6.0,5103.0,5103.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n497,Sentinelsat,sentinelsat/sentinelsat,,geospatial-data,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26.000000,2021-02-08 09:57:22.000000,2021-01-31 18:47:01.000000,162,30.0,209.0,568,801.0,Search and download Copernicus Sentinel satellite images.,34.0,22,False,2020-06-12 07:15:51.000000,0.14,36.0,sentinelsat,,,,,211.0,167.0,https://pypi.org/project/sentinelsat,2020-06-12 07:08:37.000000,44.0,4965.0,4968.0,,,,,,,,3.0,195.0,,,,,,,,,,,,,,,,,,,,,\n498,Guild AI,guildai/guildai,,ml-experiments,https://github.com/guildai/guildai,https://github.com/guildai/guildai,Apache-2.0,2017-09-27 18:57:50.000000,2021-02-25 03:42:45.000000,2021-02-25 03:42:34.000000,41,98.0,154.0,547,4418.0,\"Experiment tracking, ML developer tools.\",16.0,22,True,2021-01-14 21:03:23.000000,0.7.2,165.0,guildai,,,,,26.0,26.0,https://pypi.org/project/guildai,2021-02-24 01:36:05.000000,,1188.0,1188.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n499,tinytag,devsnd/tinytag,,audio,https://github.com/devsnd/tinytag,https://github.com/devsnd/tinytag,MIT,2014-01-27 15:27:01.000000,2020-11-11 16:20:54.000000,2020-11-11 16:13:44.000000,78,14.0,60.0,436,308.0,\"Read music meta data and length of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA and Wave files with python 2 or 3.\",18.0,22,True,2020-11-05 12:44:52.000000,1.5.0,33.0,tinytag,,,,,404.0,308.0,https://pypi.org/project/tinytag,2020-11-05 12:44:52.000000,96.0,2085.0,2085.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n500,scikit-lego,koaning/scikit-lego,,sklearn-utils,https://github.com/koaning/scikit-lego,https://github.com/koaning/scikit-lego,MIT,2019-01-21 15:30:15.000000,2021-02-24 10:01:50.000000,2021-02-18 17:50:20.000000,67,21.0,183.0,424,374.0,Extra blocks for scikit-learn pipelines.,38.0,22,True,2021-01-04 09:19:31.000000,0.6.3,29.0,scikit-lego,conda-forge/scikit-lego,,,['sklearn'],17.0,17.0,https://pypi.org/project/scikit-lego,2021-01-04 09:19:31.000000,0.0,1182.0,1711.0,https://anaconda.org/conda-forge/scikit-lego,2020-11-02 09:40:04.581000,8471.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n501,random-forest-importances,parrt/random-forest-importances,,interpretability,https://github.com/parrt/random-forest-importances,https://github.com/parrt/random-forest-importances,MIT,2018-03-22 19:20:13.000000,2021-01-30 21:50:08.000000,2021-01-30 21:50:02.000000,93,4.0,27.0,410,249.0,Code to compute permutation and drop-column importances in Python scikit-learn models.,14.0,22,True,2021-01-28 23:23:17.000000,1.3.7,22.0,rfpimp,,,,['sklearn'],66.0,62.0,https://pypi.org/project/rfpimp,2021-01-28 23:19:33.000000,4.0,5352.0,5352.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n502,Cornac,PreferredAI/cornac,,recommender-systems,https://github.com/PreferredAI/cornac,https://github.com/PreferredAI/cornac,Apache-2.0,2018-07-17 06:31:35.000000,2021-01-29 10:40:32.008000,2021-01-29 07:00:14.000000,56,1.0,31.0,302,1162.0,A Comparative Framework for Multimodal Recommender Systems.,11.0,22,True,2021-01-29 08:08:54.000000,1.11.0,36.0,cornac,conda-forge/cornac,,,,28.0,27.0,https://pypi.org/project/cornac,2021-01-29 08:06:15.000000,1.0,648.0,5839.0,https://anaconda.org/conda-forge/cornac,2021-01-29 10:40:32.008000,109030.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n503,vega,vega/ipyvega,,data-viz,https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000000,2021-02-04 22:17:48.000000,2021-02-04 22:17:48.000000,46,8.0,79.0,295,480.0,IPython/Jupyter notebook module for Vega and Vega-Lite.,9.0,22,True,2020-05-15 23:40:02.000000,3.4.0,37.0,vega,conda-forge/vega,,,['jupyter'],148.0,,https://pypi.org/project/vega,2020-05-15 23:40:02.000000,148.0,9115.0,16029.0,https://anaconda.org/conda-forge/vega,2020-12-10 15:03:57.175000,387210.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n504,pyvips,libvips/pyvips,,image,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000000,2021-02-24 09:49:23.000000,2021-02-24 09:49:23.000000,25,73.0,137.0,293,392.0,python binding for libvips using cffi.,10.0,22,True,2020-12-18 11:44:57.000000,2.1.14,20.0,pyvips,conda-forge/pyvips,,,,174.0,152.0,https://pypi.org/project/pyvips,2020-12-18 11:44:57.000000,22.0,3208.0,3594.0,https://anaconda.org/conda-forge/pyvips,2020-10-14 10:02:33.542000,6955.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n505,SUOD,yzhao062/SUOD,,others,https://github.com/yzhao062/SUOD,https://github.com/yzhao062/SUOD,BSD-2-Clause,2019-11-20 00:23:54.000000,2021-01-19 14:42:08.000000,2021-01-19 14:42:01.000000,29,3.0,2.0,240,134.0,(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection).,1.0,22,True,2021-01-15 02:12:04.000000,0.0.6,7.0,suod,,,,,268.0,268.0,https://pypi.org/project/suod,2021-01-15 02:12:04.000000,,43024.0,43024.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n506,TensorFlow Cloud,tensorflow/cloud,,tensorflow-utils,https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59.000000,2021-02-19 06:18:51.000000,2021-02-19 06:18:41.000000,47,47.0,25.0,227,514.0,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,16.0,22,True,2021-02-09 23:34:43.000000,0.1.13,16.0,tensorflow-cloud,,,,['tensorflow'],26.0,26.0,https://pypi.org/project/tensorflow-cloud,2021-02-09 23:34:43.000000,0.0,55372.0,55372.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n507,Orion,Epistimio/orion,,hyperopt,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21.000000,2021-02-25 01:41:32.000000,2021-02-25 01:41:32.000000,35,30.0,107.0,182,2470.0,Asynchronous Distributed Hyperparameter Optimization.,18.0,22,True,2021-01-19 22:46:16.000000,0.1.12,13.0,orion,,,,,48.0,40.0,https://pypi.org/project/orion,2021-01-19 22:46:16.000000,8.0,858.0,858.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n508,pyexcel-xlsx,pyexcel/pyexcel-xlsx,,data-loading,https://github.com/pyexcel/pyexcel-xlsx,https://github.com/pyexcel/pyexcel-xlsx,BSD-3-Clause,2014-12-02 00:03:24.000000,2020-11-28 22:30:58.000000,2020-11-28 22:30:53.000000,16,12.0,20.0,85,267.0,\"A wrapper library to read, manipulate and write data in xlsx and xlsm format using openpyxl.\",4.0,22,False,2020-10-10 13:13:32.000000,0.6.0,30.0,pyexcel-xlsx,conda-forge/pyexcel-xlsx,,,,1430.0,1120.0,https://pypi.org/project/pyexcel-xlsx,2020-10-10 13:13:32.000000,310.0,26377.0,26756.0,https://anaconda.org/conda-forge/pyexcel-xlsx,2020-10-10 15:53:49.660000,15182.0,,,,,3.0,46.0,,,,,,,,,,,,,,,,,,,,,\n509,openpyxl,,,data-loading,,https://openpyxl.readthedocs.io,MIT,2015-11-03 00:22:17.154000,2021-01-16 15:51:35.602000,,0,187.0,1436.0,17,,A Python library to read/write Excel 2010 xlsx/xlsm files.,,22,False,2021-01-14 19:15:29.000000,3.0.6,96.0,openpyxl,openpyxl,openpyxl/openpyxl-ci,https://openpyxl.readthedocs.io/en/stable/,,9770.0,,https://pypi.org/project/openpyxl,2021-01-14 19:00:13.000000,9770.0,4625532.0,4626245.0,https://anaconda.org/anaconda/openpyxl,2021-01-16 15:51:35.602000,43838.0,https://hub.docker.com/r/openpyxl/openpyxl-ci,2018-09-13 18:04:17.646261,,1180.0,3.0,,,,,,,,,0.0,,,,,,,,,,,,https://foss.heptapod.net/api/graphql::openpyxl/openpyxl,https://foss.heptapod.net/openpyxl/openpyxl\n510,Recommenders,microsoft/recommenders,,recommender-systems,https://github.com/microsoft/recommenders,https://github.com/microsoft/recommenders,MIT,2018-09-19 10:06:07.000000,2021-02-25 13:50:20.000000,2021-02-11 11:15:36.000000,1600,116.0,436.0,9240,6334.0,Best Practices on Recommendation Systems.,89.0,21,True,2021-02-04 14:08:48.000000,2021.2,7.0,,,,,,1.0,1.0,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n511,cortex,cortexlabs/cortex,,model-serialisation,https://github.com/cortexlabs/cortex,https://github.com/cortexlabs/cortex,Apache-2.0,2019-01-24 04:43:14.000000,2021-02-25 15:05:29.000000,2021-02-25 13:07:18.000000,557,184.0,736.0,7351,1891.0,Model serving at scale.,18.0,21,True,2021-02-17 04:52:53.000000,0.29.0,47.0,cortex,,,,,0.0,,https://pypi.org/project/cortex,2021-02-17 04:49:33.000000,0.0,673.0,673.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n512,mace,XiaoMi/mace,,ml-frameworks,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12.000000,2021-02-18 11:53:08.000000,2021-02-18 11:53:08.000000,756,39.0,589.0,4304,3108.0,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,56.0,21,True,2021-01-12 02:48:05.000000,1.0.2,9.0,,,,,,,,,,,,43.0,,,,,,,,3.0,1300.0,,,,,,,,,,,,,,,,,,,,,\n513,cuDF,rapidsai/cudf,,gpu-utilities,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000000,2021-02-25 15:20:09.000000,2021-02-25 14:40:06.000000,484,597.0,2821.0,3688,,cuDF - GPU DataFrame Library.,205.0,21,True,2021-02-24 18:09:03.000000,0.18.0,5.0,cudf,,,,,4.0,,https://pypi.org/project/cudf,2020-06-01 20:07:47.000000,4.0,396.0,396.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n514,DeepMatcher,anhaidgroup/deepmatcher,,nlp,https://github.com/anhaidgroup/deepmatcher,https://github.com/anhaidgroup/deepmatcher,BSD-3-Clause,2017-12-01 19:01:11.000000,2020-09-27 17:25:56.000000,2020-04-20 02:34:24.000000,1289,47.0,17.0,3457,169.0,Python package for performing Entity and Text Matching using Deep Learning.,7.0,21,True,2019-12-30 19:49:33.000000,0.1.1,9.0,deepmatcher,,,,,10.0,10.0,https://pypi.org/project/deepmatcher,2019-12-30 19:49:33.000000,,215.0,215.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n515,AdaNet,tensorflow/adanet,,hyperopt,https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24.000000,2020-07-09 21:03:28.000000,2020-07-09 20:51:04.000000,501,64.0,47.0,3237,439.0,Fast and flexible AutoML with learning guarantees.,26.0,21,True,2020-07-09 21:03:28.000000,0.9.0,13.0,adanet,,,,['tensorflow'],37.0,35.0,https://pypi.org/project/adanet,2020-07-09 21:03:28.000000,2.0,393.0,393.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n516,TensorTrade,tensortrade-org/tensortrade,,financial-data,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32.000000,2021-02-13 17:34:42.000000,2021-02-13 17:34:42.000000,665,21.0,139.0,2967,881.0,\"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.\",50.0,21,True,,,26.0,tensortrade,,,,,11.0,10.0,https://pypi.org/project/tensortrade,2020-12-20 18:30:31.000000,1.0,706.0,706.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n517,NLP Architect,IntelLabs/nlp-architect,,nlp,https://github.com/IntelLabs/nlp-architect,https://github.com/IntelLabs/nlp-architect,Apache-2.0,2018-05-17 21:00:13.000000,2021-02-24 06:15:04.000000,2021-01-14 15:53:57.000000,394,16.0,104.0,2601,949.0,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,36.0,21,True,2020-11-17 12:32:37.000000,0.5.5.1,13.0,nlp-architect,,,,,7.0,7.0,https://pypi.org/project/nlp-architect,2020-04-12 11:34:38.000000,,218.0,218.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n518,Image Super-Resolution,idealo/image-super-resolution,,image,https://github.com/idealo/image-super-resolution,https://github.com/idealo/image-super-resolution,Apache-2.0,2018-11-26 13:41:13.000000,2020-11-11 15:09:20.000000,2020-11-11 15:09:19.000000,482,57.0,101.0,2560,138.0,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,9.0,21,True,2020-01-08 15:37:35.000000,2.2.0,11.0,ISR,,idealo/image-super-resolution-gpu,,['tensorflow'],49.0,41.0,https://pypi.org/project/ISR,2020-01-08 15:37:35.000000,8.0,1833.0,1837.0,,,,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,,129.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n519,gpt-2-simple,minimaxir/gpt-2-simple,,nlp,https://github.com/minimaxir/gpt-2-simple,https://github.com/minimaxir/gpt-2-simple,MIT,2019-04-13 20:00:52.000000,2021-02-14 21:13:20.000000,2021-02-14 19:39:38.000000,524,136.0,90.0,2512,133.0,Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts.,17.0,21,True,2021-02-14 21:13:20.000000,0.7.2,16.0,gpt-2-simple,,,,['tensorflow'],3.0,,https://pypi.org/project/gpt-2-simple,2021-02-14 20:20:24.000000,3.0,4454.0,4462.0,,,,,,,,3.0,193.0,,,,,,,,,,,,,,,,,,,,,\n520,tensorflow-graphics,tensorflow/graphics,,image,https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44.000000,2021-02-25 13:51:17.000000,2021-02-23 21:27:33.000000,282,98.0,82.0,2403,625.0,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,32.0,21,True,2020-05-20 19:56:41.000000,2020.5.20,21.0,tensorflow-graphics,,,,['tensorflow'],3.0,,https://pypi.org/project/tensorflow-graphics,2020-05-20 19:56:41.000000,3.0,694.0,694.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n521,Luminoth,tryolabs/luminoth,,image,https://github.com/tryolabs/luminoth,https://github.com/tryolabs/luminoth,BSD-3-Clause,2017-02-16 15:07:46.000000,2020-12-24 21:01:24.000000,2020-01-07 20:53:25.000000,402,50.0,127.0,2344,838.0,Deep Learning toolkit for Computer Vision.,15.0,21,False,2018-11-09 21:35:17.000000,0.2.3,10.0,luminoth,,,,['tensorflow'],30.0,28.0,https://pypi.org/project/luminoth,2018-11-09 21:35:17.000000,2.0,375.0,655.0,,,,,,,,3.0,11236.0,,,,,,,,,,,,,,,,,,,,,\n522,DeepVariant,google/deepvariant,,medical-data,https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000000,2021-02-15 17:27:37.000000,2020-12-14 23:35:27.000000,533,3.0,383.0,2199,1503.0,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,19.0,21,True,2020-12-07 17:56:31.000000,1.1.0,15.0,,bioconda/deepvariant,,,['tensorflow'],,,,,,,815.0,https://anaconda.org/bioconda/deepvariant,2020-09-05 07:25:11.429000,27215.0,,,,,3.0,3041.0,,,,,,,,,,,,,,,,,,,,,\n523,Texar,asyml/texar,,nlp,https://github.com/asyml/texar,https://github.com/asyml/texar,Apache-2.0,2017-07-22 19:02:05.000000,2020-09-17 07:03:55.000000,2020-07-29 00:38:30.000000,330,32.0,126.0,2112,1719.0,\"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the..\",41.0,21,True,2019-11-19 04:11:18.000000,0.2.4,6.0,texar,,,,['tensorflow'],14.0,12.0,https://pypi.org/project/texar,2019-11-19 04:11:18.000000,2.0,50.0,50.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n524,Mars,mars-project/mars,,others,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03.000000,2021-02-25 12:23:36.000000,2021-02-25 11:56:27.000000,241,116.0,665.0,2047,729.0,\"Mars is a tensor-based unified framework for large-scale data computation which scales Numpy, pandas, Scikit-learn and..\",18.0,21,True,2021-02-22 06:27:42.000000,0.6.5,75.0,pymars,,,,,3.0,3.0,https://pypi.org/project/pymars,2021-02-25 12:23:36.000000,0.0,662.0,662.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n525,PARL,PaddlePaddle/PARL,,reinforcement-learning,https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22.000000,2021-02-25 09:18:25.000000,2021-02-25 09:18:25.000000,428,52.0,152.0,1836,1.0,A high-performance distributed training framework for Reinforcement Learning.,21.0,21,True,2021-01-08 08:16:06.000000,1.4.1,16.0,parl,,,,['paddle'],68.0,68.0,https://pypi.org/project/parl,2021-01-08 08:16:06.000000,,168.0,168.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n526,auto_ml,ClimbsRocks/auto_ml,,hyperopt,https://github.com/ClimbsRocks/auto_ml,https://github.com/ClimbsRocks/auto_ml,MIT,2016-08-07 21:35:08.000000,2021-02-10 07:52:35.000000,2018-03-25 19:46:25.000000,293,185.0,215.0,1518,1149.0,[UNMAINTAINED] Automated machine learning for analytics & production.,13.0,21,False,2018-02-22 01:13:03.000000,2.9.10,78.0,auto_ml,,,,,2.0,,https://pypi.org/project/auto_ml,2018-02-22 01:13:03.000000,2.0,1547.0,1547.0,,,,,,,,3.0,33.0,,,,,,,,,,,,,,,,,,,,,\n527,fast-bert,kaushaltrivedi/fast-bert,,nlp,https://github.com/utterworks/fast-bert,https://github.com/utterworks/fast-bert,Apache-2.0,2019-04-18 22:01:20.000000,2021-02-05 15:35:26.000000,2021-02-05 15:35:18.000000,308,136.0,91.0,1514,263.0,Super easy library for BERT based NLP models.,34.0,21,True,2020-12-09 21:27:58.000000,1.9.5,40.0,fast-bert,,,,,2.0,,https://pypi.org/project/fast-bert,2020-12-09 21:27:58.000000,2.0,1020.0,1020.0,,,,,,,,3.0,,,,,,,,,,,,,utterworks/fast-bert,,,,,,,,,\n528,lore,instacart/lore,,ml-experiments,https://github.com/instacart/lore,https://github.com/instacart/lore,MIT,2017-10-19 21:51:45.000000,2021-02-22 18:13:04.000000,2020-05-11 22:26:45.000000,118,16.0,18.0,1513,270.0,Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers.,22.0,21,True,2020-05-11 22:28:23.000000,0.8.4,231.0,lore,,,,,17.0,16.0,https://pypi.org/project/lore,2020-05-11 22:28:23.000000,1.0,660.0,660.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n529,Talos,autonomio/talos,,hyperopt,https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41.000000,2020-11-21 16:37:14.000000,2020-11-21 16:27:04.000000,225,41.0,346.0,1377,538.0,\"Hyperparameter Optimization for TensorFlow, Keras and PyTorch.\",19.0,21,True,2020-11-09 16:48:30.000000,1.0,14.0,talos,,,,['tensorflow'],114.0,108.0,https://pypi.org/project/talos,2020-11-09 16:49:08.000000,6.0,863.0,863.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n530,TensorFlow Privacy,tensorflow/privacy,,privacy-ml,https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000000,2021-02-23 00:01:28.000000,2021-02-23 00:01:24.000000,269,42.0,76.0,1341,444.0,Library for training machine learning models with privacy for training data.,36.0,21,True,2020-09-03 01:13:47.000000,.0.5.1,9.0,tensorflow-privacy,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow-privacy,2020-09-03 01:10:15.000000,2.0,3589.0,3591.0,,,,,,,,2.0,41.0,,,,,,,,,,,,,,,,,,,,,\n531,Neural Tangents,google/neural-tangents,,ml-frameworks,https://github.com/google/neural-tangents,https://github.com/google/neural-tangents,Apache-2.0,2019-04-08 16:48:48.000000,2021-02-18 07:37:24.000000,2021-02-18 07:37:19.000000,148,28.0,52.0,1338,367.0,Fast and Easy Infinite Neural Networks in Python.,17.0,21,True,2021-01-25 23:20:02.000000,0.3.6,20.0,neural-tangents,,,,,14.0,14.0,https://pypi.org/project/neural-tangents,2021-01-25 23:06:16.000000,0.0,903.0,917.0,,,,,,,,3.0,112.0,,,,,,,,,,,,,,,,,,,,,\n532,NiftyNet,NifTK/NiftyNet,,medical-data,https://github.com/NifTK/NiftyNet,https://github.com/NifTK/NiftyNet,Apache-2.0,2017-08-30 07:55:43.000000,2020-04-21 19:54:52.000000,2020-04-21 19:54:51.000000,385,102.0,224.0,1267,2848.0,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,58.0,21,True,2019-10-10 10:59:33.000000,0.6.0,11.0,niftynet,,,,['tensorflow'],34.0,33.0,https://pypi.org/project/niftynet,2019-10-10 10:59:33.000000,1.0,88.0,88.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n533,Torchmeta,tristandeleu/pytorch-meta,,pytorch-utils,https://github.com/tristandeleu/pytorch-meta,https://github.com/tristandeleu/pytorch-meta,MIT,2018-12-04 23:36:45.000000,2021-02-25 13:32:40.000000,2020-11-25 16:41:48.000000,137,23.0,71.0,1216,341.0,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.,10.0,21,True,2020-11-25 16:45:01.000000,1.6.1,26.0,torchmeta,,,,['pytorch'],28.0,28.0,https://pypi.org/project/torchmeta,2020-11-25 16:45:01.000000,,412.0,412.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n534,Karate Club,benedekrozemberczki/karateclub,,graph,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56.000000,2021-01-25 18:14:21.000000,2021-01-25 18:10:17.000000,137,,47.0,1162,2117.0,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,11.0,21,False,2021-01-25 18:14:21.000000,_10023,96.0,karateclub,,,,,26.0,26.0,https://pypi.org/project/karateclub,2021-01-25 18:11:58.000000,0.0,1822.0,1822.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n535,Classy Vision,facebookresearch/ClassyVision,,image,https://github.com/facebookresearch/ClassyVision,https://github.com/facebookresearch/ClassyVision,MIT,2019-09-13 22:54:44.000000,2021-02-25 02:23:38.000000,2021-02-24 22:26:12.000000,208,48.0,46.0,1153,338.0,An end-to-end PyTorch framework for image and video classification.,59.0,21,True,2020-11-20 21:02:29.000000,0.5.0,15.0,classy_vision,conda-forge/classy_vision,,,['pytorch'],0.0,,https://pypi.org/project/classy_vision,2020-11-20 21:02:29.000000,0.0,92.0,559.0,https://anaconda.org/conda-forge/classy_vision,2020-12-11 20:08:25.437000,6078.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n536,datatable,h2oai/datatable,,data-containers,https://github.com/h2oai/datatable,https://github.com/h2oai/datatable,MPL-2.0,2017-03-03 02:32:59.000000,2021-02-24 09:04:40.000000,2021-02-23 20:03:40.000000,96,125.0,1111.0,1146,,A Python package for manipulating 2-dimensional tabular data structures.,28.0,21,True,2020-12-10 09:10:50.000000,0.11.1,15.0,datatable,,,,,6.0,,https://pypi.org/project/datatable,2020-12-10 08:04:03.000000,6.0,11847.0,11869.0,,,,,,,,3.0,945.0,,,,,,,,,,,,,,,,,,,,,\n537,tensorly,tensorly/tensorly,,others,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52.000000,2021-02-25 15:01:44.000000,2021-02-17 14:10:20.000000,188,24.0,94.0,959,,TensorLy: Tensor Learning in Python.,39.0,21,True,2020-12-07 20:30:41.000000,0.5.1,16.0,tensorly,conda-forge/tensorly,,,,20.0,,https://pypi.org/project/tensorly,2020-12-07 20:30:41.000000,20.0,1991.0,5531.0,https://anaconda.org/conda-forge/tensorly,2020-12-07 22:44:30.386000,116837.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n538,mljar-supervised,mljar/mljar-supervised,,hyperopt,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000000,2021-02-25 10:43:26.000000,2021-02-12 19:25:14.000000,118,47.0,249.0,908,775.0,Automates Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning.,7.0,21,True,2021-02-05 12:53:28.000000,0.8.9,64.0,mljar-supervised,,,,,10.0,10.0,https://pypi.org/project/mljar-supervised,2021-02-05 12:53:28.000000,,1837.0,1837.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n539,attention-ocr,emedvedev/attention-ocr,,ocr,https://github.com/emedvedev/attention-ocr,https://github.com/emedvedev/attention-ocr,MIT,2017-07-21 18:35:19.000000,2021-02-23 04:33:25.000000,2020-10-31 19:40:19.000000,229,18.0,126.0,837,196.0,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,27.0,21,True,2020-10-12 06:56:40.000000,0.7.6,21.0,aocr,,,,['tensorflow'],15.0,15.0,https://pypi.org/project/aocr,2019-04-19 05:28:27.000000,,117.0,117.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n540,FairScale,facebookresearch/fairscale,,distributed-ml,https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000000,2021-02-25 14:58:16.000000,2021-02-24 23:19:40.000000,59,35.0,84.0,782,284.0,PyTorch extensions for high performance and large scale training.,21.0,21,True,2021-02-23 06:57:14.000000,0.3.0,12.0,fairscale,,,,['pytorch'],6.0,6.0,https://pypi.org/project/fairscale,2021-02-23 06:56:05.000000,0.0,3284.0,3284.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n541,Neural Structured Learning,tensorflow/neural-structured-learning,,tensorflow-utils,https://github.com/tensorflow/neural-structured-learning,https://github.com/tensorflow/neural-structured-learning,Apache-2.0,2019-08-27 21:48:16.000000,2021-02-24 22:26:13.000000,2021-02-24 22:26:08.000000,140,4.0,39.0,781,362.0,Training neural models with structured signals.,27.0,21,True,2020-08-18 00:35:35.000000,1.3.1,7.0,neural-structured-learning,,,,['tensorflow'],36.0,36.0,https://pypi.org/project/neural-structured-learning,2020-08-18 00:35:35.000000,0.0,1420.0,1420.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n542,tf-explain,sicara/tf-explain,,interpretability,https://github.com/sicara/tf-explain,https://github.com/sicara/tf-explain,MIT,2019-07-15 08:26:24.000000,2021-02-16 18:59:38.000000,2021-02-04 18:16:59.000000,73,33.0,45.0,769,197.0,Interpretability Methods for tf.keras models with Tensorflow 2.x.,13.0,21,True,2021-02-16 18:59:38.000000,0.3.0,7.0,tf-explain,,,,['tensorflow'],65.0,63.0,https://pypi.org/project/tf-explain,2021-02-16 18:59:38.000000,2.0,770.0,770.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n543,fairlearn,fairlearn/fairlearn,,interpretability,https://github.com/fairlearn/fairlearn,https://github.com/fairlearn/fairlearn,MIT,2018-05-15 01:51:35.000000,2021-02-19 23:30:36.000000,2021-02-19 23:30:36.000000,169,76.0,112.0,684,556.0,A Python package to assess and improve fairness of machine learning models.,29.0,21,True,2021-02-06 23:47:07.000000,0.6.0,13.0,fairlearn,conda-forge/fairlearn,,,['sklearn'],2.0,,https://pypi.org/project/fairlearn,2021-02-04 12:58:01.000000,2.0,3241.0,4068.0,https://anaconda.org/conda-forge/fairlearn,2021-02-03 19:59:47.855000,9926.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n544,pickleDB,patx/pickledb,,data-containers,https://github.com/patx/pickledb,https://github.com/patx/pickledb,BSD-3-Clause,2011-10-28 00:04:40.000000,2020-08-25 09:47:52.000000,2019-11-15 03:38:30.000000,93,22.0,39.0,542,105.0,pickleDB is an open source key-value store using Python's json module.,11.0,21,False,2019-01-14 18:48:25.000000,0.9.2,20.0,pickledb,,,,,615.0,503.0,https://pypi.org/project/pickledb,2019-01-14 18:48:25.000000,112.0,11303.0,11303.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n545,lazypredict,shankarpandala/lazypredict,,hyperopt,https://github.com/shankarpandala/lazypredict,https://github.com/shankarpandala/lazypredict,MIT,2019-11-16 09:56:35.000000,2021-02-23 16:26:32.000000,2021-02-17 15:43:44.000000,87,14.0,28.0,387,195.0,Lazy Predict help build a lot of basic models without much code and helps understand which models works better without..,11.0,21,True,2021-02-17 15:38:45.000000,0.2.9,11.0,lazypredict,,,,['sklearn'],33.0,33.0,https://pypi.org/project/lazypredict,2021-02-17 15:38:45.000000,,1128.0,1128.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n546,Neuraxle,Neuraxio/Neuraxle,,hyperopt,https://github.com/Neuraxio/Neuraxle,https://github.com/Neuraxio/Neuraxle,Apache-2.0,2019-03-26 21:01:54.000000,2021-02-24 19:38:20.000000,2021-02-24 19:36:15.000000,40,122.0,133.0,374,1347.0,A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right..,7.0,21,True,2021-02-22 03:43:59.000000,0.5.6,19.0,neuraxle,,,,,17.0,17.0,https://pypi.org/project/neuraxle,2020-09-20 16:29:39.000000,0.0,190.0,190.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n547,Studio.ml,studioml/studio,,ml-experiments,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28.000000,2021-02-24 02:17:15.000000,2021-02-24 02:13:01.000000,50,56.0,189.0,369,2337.0,Studio: Simplify and expedite model building process.,21.0,21,True,2021-02-24 00:53:47.000000,0.0.42,189.0,studioml,,,,,3.0,3.0,https://pypi.org/project/studioml,2021-02-24 02:17:15.000000,,581.0,581.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n548,aequitas,dssg/aequitas,,interpretability,https://github.com/dssg/aequitas,https://github.com/dssg/aequitas,MIT,2018-02-13 19:40:30.000000,2021-02-23 13:51:06.000000,2021-02-23 13:51:06.000000,65,33.0,21.0,359,856.0,Bias and Fairness Audit Toolkit.,16.0,21,True,2020-12-16 11:48:14.000000,0.42.0,16.0,aequitas,,,,,70.0,67.0,https://pypi.org/project/aequitas,2020-12-16 11:48:14.000000,3.0,153.0,153.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n549,Pandas Summary,mouradmourafiq/pandas-summary,,data-containers,https://github.com/mouradmourafiq/pandas-summary,https://github.com/mouradmourafiq/pandas-summary,MIT,2016-03-25 21:59:32.000000,2019-08-24 21:10:25.000000,2019-08-24 21:10:24.000000,36,8.0,5.0,358,24.0,An extension to pandas dataframes describe function.,6.0,21,False,2016-08-30 07:54:59.000000,0.0.41,8.0,pandas-summary,,,,['pandas'],660.0,570.0,https://pypi.org/project/pandas-summary,2016-08-30 07:54:59.000000,90.0,17914.0,17914.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n550,PyTorch Sparse,rusty1s/pytorch_sparse,,pytorch-utils,https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53.000000,2021-02-16 11:34:27.000000,2021-02-16 11:34:23.000000,43,36.0,53.0,356,514.0,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,12.0,21,True,2020-11-02 10:43:20.000000,0.6.8,21.0,torch-sparse,,,,['pytorch'],34.0,,https://pypi.org/project/torch-sparse,2020-11-02 10:43:20.000000,34.0,3358.0,3358.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n551,skope-rules,scikit-learn-contrib/skope-rules,,sklearn-utils,https://github.com/scikit-learn-contrib/skope-rules,https://github.com/scikit-learn-contrib/skope-rules,BSD-1-Clause,2018-02-18 13:42:47.000000,2020-12-11 14:42:41.000000,2020-10-23 14:31:57.000000,58,23.0,4.0,356,247.0,machine learning with logical rules in Python.,18.0,21,False,2020-12-11 09:37:02.000000,1.0.1,4.0,skope-rules,,,,['sklearn'],31.0,25.0,https://pypi.org/project/skope-rules,2020-01-25 12:01:37.000000,6.0,11979.0,11979.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n552,pydlm,wwrechard/pydlm,,time-series-data,https://github.com/wwrechard/pydlm,https://github.com/wwrechard/pydlm,BSD-3-Clause,2016-06-29 07:58:53.000000,2021-02-24 14:21:28.000000,2019-10-22 07:18:40.000000,83,35.0,7.0,356,362.0,A python library for Bayesian time series modeling.,6.0,21,False,2016-11-06 01:43:35.000000,0.1.1,13.0,pydlm,,,,,18.0,16.0,https://pypi.org/project/pydlm,2018-12-19 10:27:54.000000,2.0,11293.0,11293.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n553,SDV,sdv-dev/SDV,,data-loading,https://github.com/sdv-dev/SDV,https://github.com/sdv-dev/SDV,MIT,2018-05-11 15:56:50.000000,2021-02-24 22:45:09.000000,2021-02-24 22:15:38.000000,62,49.0,143.0,340,792.0,\"Synthetic Data Generation for tabular, relational and time series data.\",33.0,21,True,2021-02-24 22:16:26.000000,0.8.0,42.0,sdv,,,,,14.0,14.0,https://pypi.org/project/sdv,2021-02-24 22:15:34.000000,0.0,930.0,930.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n554,torch-cluster,rusty1s/pytorch_cluster,,graph,https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06.000000,2021-02-24 09:50:10.000000,2021-02-24 09:50:09.000000,68,35.0,39.0,339,507.0,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,18.0,21,True,2020-10-31 14:42:35.000000,1.5.8,38.0,torch-cluster,,,,['pytorch'],32.0,,https://pypi.org/project/torch-cluster,2020-10-31 14:42:35.000000,32.0,2379.0,2379.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n555,joypy,sbebo/joypy,,data-viz,https://github.com/sbebo/joypy,https://github.com/sbebo/joypy,MIT,2017-07-30 17:18:50.000000,2020-12-28 14:07:53.760000,2020-12-28 11:56:12.000000,32,4.0,34.0,319,108.0,Joyplots in Python with matplotlib & pandas.,5.0,21,True,2020-12-28 11:54:36.000000,0.2.4,16.0,joypy,conda-forge/joypy,,,,73.0,67.0,https://pypi.org/project/joypy,2020-12-28 11:54:36.000000,6.0,2123.0,2480.0,https://anaconda.org/conda-forge/joypy,2020-12-28 14:07:53.760000,8232.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n556,datatest,shawnbrown/datatest,,data-loading,https://github.com/shawnbrown/datatest,https://github.com/shawnbrown/datatest,Apache-2.0,2016-05-12 13:16:27.000000,2021-02-25 03:36:10.000000,2021-02-25 03:35:45.000000,12,9.0,42.0,238,2151.0,Tools for test driven data-wrangling and data validation.,6.0,21,True,2021-01-04 03:43:58.000000,0.11.1,17.0,datatest,,,,,31.0,29.0,https://pypi.org/project/datatest,2021-01-04 03:39:40.000000,2.0,1578.0,1578.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n557,quinn,MrPowers/quinn,,ml-experiments,https://github.com/MrPowers/quinn,https://github.com/MrPowers/quinn,Apache-2.0,2017-09-15 13:02:42.000000,2021-02-09 04:48:14.000000,2021-02-09 04:48:07.000000,26,17.0,6.0,209,110.0,pyspark methods to enhance developer productivity.,6.0,21,True,2021-02-06 15:21:04.000000,0.9.0,12.0,quinn,,,,['spark'],6.0,,https://pypi.org/project/quinn,2021-02-06 15:21:04.000000,6.0,76121.0,76121.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n558,py3nvml,fbcotter/py3nvml,,gpu-utilities,https://github.com/fbcotter/py3nvml,https://github.com/fbcotter/py3nvml,BSD-3-Clause,2016-11-21 01:07:37.000000,2020-10-10 10:41:08.987000,2020-04-23 06:54:42.000000,24,2.0,9.0,165,79.0,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,6.0,21,True,2020-04-06 16:02:10.000000,0.2.6,13.0,py3nvml,conda-forge/py3nvml,,,,251.0,231.0,https://pypi.org/project/py3nvml,2020-04-06 16:02:10.000000,20.0,45077.0,46048.0,https://anaconda.org/conda-forge/py3nvml,2020-10-10 10:41:08.987000,12627.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n559,stop-words,Alir3z4/python-stop-words,,nlp,https://github.com/Alir3z4/python-stop-words,https://github.com/Alir3z4/python-stop-words,BSD-3-Clause,2014-05-26 06:44:03.000000,2019-10-16 15:01:43.000000,2018-07-23 21:04:09.000000,21,3.0,9.0,121,90.0,Get list of common stop words in various languages in Python.,8.0,21,False,2018-07-23 20:58:34.000000,2018.7.23,8.0,stop-words,,,,,1367.0,1109.0,https://pypi.org/project/stop-words,2018-07-23 20:55:55.000000,258.0,32008.0,32008.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n560,PyStan,stan-dev/pystan,,probabilistics,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,ISC,2017-03-06 19:56:42.094000,2021-02-25 11:06:17.000000,2021-02-25 11:01:57.000000,12,8.0,89.0,39,,\"PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io.\",5.0,21,False,2013-09-28 22:06:09.000000,0.2.2,57.0,pystan,conda-forge/pystan,,,,342.0,,https://pypi.org/project/pystan,2021-02-10 14:31:04.000000,342.0,502807.0,521649.0,https://anaconda.org/conda-forge/pystan,2020-08-25 22:40:14.631000,885598.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n561,Dejavu,worldveil/dejavu,,audio,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35.000000,2020-10-29 17:40:17.000000,2020-06-03 05:58:03.000000,1236,83.0,129.0,5336,146.0,Audio fingerprinting and recognition in Python.,23.0,20,True,2015-04-19 21:20:16.000000,0.1.3,4.0,PyDejavu,,,,,20.0,17.0,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16.000000,3.0,49.0,49.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n562,Qlib,microsoft/qlib,,financial-data,https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000000,2021-02-24 08:12:58.000000,2021-02-19 14:23:22.000000,671,79.0,64.0,4446,,\"Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research,..\",30.0,20,True,2021-02-02 09:29:47.000000,0.6.2,16.0,pyqlib,,,,['pytorch'],,,https://pypi.org/project/pyqlib,2021-02-02 09:29:47.000000,,1664.0,1709.0,,,,,,,,3.0,225.0,,,,,,,,,,,,,,,,,,,,,\n563,MMF,facebookresearch/mmf,,image,https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40.000000,2021-02-25 11:47:06.000000,2021-02-25 11:41:38.000000,604,91.0,336.0,4164,788.0,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,55.0,20,True,2019-08-26 19:04:21.000000,0.3.1,12.0,mmf,,,,['pytorch'],7.0,7.0,https://pypi.org/project/mmf,2020-06-12 22:15:02.000000,0.0,81.0,81.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n564,MindsDB,mindsdb/mindsdb,,ml-frameworks,https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,GPL-3.0,2018-08-02 17:56:45.000000,2021-02-25 14:23:34.000000,2021-02-25 11:41:23.000000,425,24.0,500.0,3519,,Predictive AI layer for existing databases.,55.0,20,False,2021-02-24 14:31:35.000000,2.22.0,42.0,mindsdb,,,,['pytorch'],6.0,,https://pypi.org/project/mindsdb,2019-03-19 05:07:23.000000,6.0,1776.0,1776.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n565,MatchZoo,NTMC-Community/MatchZoo,,nlp,https://github.com/NTMC-Community/MatchZoo,https://github.com/NTMC-Community/MatchZoo,Apache-2.0,2017-06-08 08:55:22.000000,2020-06-17 07:27:59.000000,2019-10-24 13:10:07.000000,877,27.0,428.0,3355,1808.0,\"Facilitating the design, comparison and sharing of deep text matching models.\",35.0,20,False,2019-10-24 13:09:11.000000,2.2.0,5.0,matchzoo,,,,['tensorflow'],9.0,9.0,https://pypi.org/project/matchzoo,2019-10-24 13:09:11.000000,,122.0,122.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n566,TTS,mozilla/TTS,,audio,https://github.com/mozilla/TTS,https://github.com/mozilla/TTS,MPL-2.0,2018-01-23 14:22:06.000000,2021-02-22 11:26:54.000000,2021-02-12 10:36:31.000000,667,29.0,443.0,3245,2184.0,Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts).,51.0,20,True,2021-01-29 00:03:56.000000,0.0.9,1.0,,,,,,,,,,,,128.0,,,,,,,,3.0,128.0,,,,,,,,,,,,,,,,,,,,,\n567,DALI,NVIDIA/DALI,,gpu-utilities,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000000,2021-02-25 15:19:42.000000,2021-02-25 15:19:42.000000,373,198.0,621.0,3101,1731.0,A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep..,56.0,20,True,2021-02-25 14:29:29.000000,0.31.0,37.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n568,FATE,FederatedAI/FATE,,privacy-ml,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000000,2021-02-25 11:42:58.000000,2021-02-07 14:00:07.000000,823,272.0,527.0,2789,7016.0,An Industrial Grade Federated Learning Framework.,52.0,20,True,2021-02-10 09:13:39.000000,1.5.1,25.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n569,dpark,douban/dpark,,data-pipelines,https://github.com/douban/dpark,https://github.com/douban/dpark,BSD-3-Clause,2012-04-11 08:35:06.000000,2020-12-25 10:36:06.000000,2020-12-25 10:36:05.000000,554,,60.0,2647,1467.0,\"Python clone of Spark, a MapReduce alike framework in Python.\",35.0,20,True,2018-07-27 04:11:36.000000,0.5.0,19.0,dpark,,,,['spark'],4.0,3.0,https://pypi.org/project/dpark,2018-07-27 04:11:36.000000,1.0,15.0,15.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n570,image-match,EdjoLabs/image-match,,image,https://github.com/EdjoLabs/image-match,https://github.com/EdjoLabs/image-match,Apache-2.0,2016-03-08 18:16:45.000000,2021-01-04 18:36:01.000000,2021-01-04 18:35:59.000000,354,47.0,47.0,2519,404.0,Quickly search over billions of images.,17.0,20,True,2017-02-13 14:54:48.000000,1.1.2,10.0,image_match,,,,,6.0,,https://pypi.org/project/image_match,2017-02-13 14:54:48.000000,6.0,356.0,356.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n571,finmarketpy,cuemacro/finmarketpy,,financial-data,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03.000000,2021-02-22 16:05:37.000000,2021-02-22 16:05:31.000000,431,21.0,3.0,2471,656.0,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,14.0,20,True,2021-01-25 15:04:53.000000,0.11.8,9.0,finmarketpy,,,,,3.0,3.0,https://pypi.org/project/finmarketpy,2021-01-25 15:01:25.000000,,63.0,63.0,,,,,,,,3.0,39.0,,,,,,,,,,,,,,,,,,,,,\n572,StreamAlert,airbnb/streamalert,,others,https://github.com/airbnb/streamalert,https://github.com/airbnb/streamalert,Apache-2.0,2017-01-22 01:10:56.000000,2021-02-10 19:36:07.000000,2021-02-10 05:03:05.000000,284,90.0,247.0,2470,1893.0,\"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data..\",31.0,20,True,2020-10-05 21:50:56.000000,3.4.1,27.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n573,NeMo,NVIDIA/NeMo,,nlp,https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000000,2021-02-25 14:39:29.000000,2021-02-24 16:28:58.000000,421,188.0,278.0,2429,,NeMo: a toolkit for conversational AI.,78.0,20,True,2020-07-10 00:01:18.000000,0.11.0,36.0,nemo-toolkit,,,,['pytorch'],4.0,,https://pypi.org/project/nemo-toolkit,2020-12-11 21:33:53.000000,4.0,1402.0,1562.0,,,,,,,,3.0,2724.0,,,,,,,,,,,,,,,,,,,,,\n574,Hummingbird,microsoft/hummingbird,,model-serialisation,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000000,2021-02-25 06:51:10.000000,2021-02-24 18:33:13.000000,162,47.0,136.0,2268,,Hummingbird compiles trained ML models into tensor computation for faster inference.,19.0,20,True,2021-01-04 22:16:04.000000,0.2.1,9.0,hummingbird-ml,,,,,14.0,14.0,https://pypi.org/project/hummingbird-ml,2021-01-04 22:14:22.000000,,856.0,866.0,,,,,,,,3.0,95.0,,,,,,,,,,,,,,,,,,,,,\n575,Texthero,jbesomi/texthero,,nlp,https://github.com/jbesomi/texthero,https://github.com/jbesomi/texthero,MIT,2020-04-06 15:16:05.000000,2020-12-09 16:49:27.000000,2020-11-03 07:58:36.000000,183,73.0,47.0,2097,267.0,\"Text preprocessing, representation and visualization from zero to hero.\",18.0,20,True,2020-07-06 20:32:28.000000,1.0.9,9.0,texthero,,,,,0.0,,https://pypi.org/project/texthero,2020-07-06 20:29:25.000000,0.0,1461.0,1467.0,,,,,,,,3.0,62.0,,,,,,,,,,,,,,,,,,,,,\n576,pdftabextract,WZBSocialScienceCenter/pdftabextract,,ocr,https://github.com/WZBSocialScienceCenter/pdftabextract,https://github.com/WZBSocialScienceCenter/pdftabextract,Apache-2.0,2016-07-08 11:44:46.000000,2020-12-28 00:52:23.000000,2018-10-26 13:57:02.000000,331,2.0,18.0,1897,168.0,A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.,2.0,20,False,2018-01-09 08:00:24.000000,0.3.0,5.0,pdftabextract,,,,,37.0,36.0,https://pypi.org/project/pdftabextract,2018-01-09 08:00:24.000000,1.0,222.0,222.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n577,STUMPY,TDAmeritrade/stumpy,,time-series-data,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000000,2021-02-19 15:25:20.000000,2021-02-19 15:24:21.000000,160,25.0,191.0,1690,,\"STUMPY is a powerful and scalable Python library for computing a Matrix Profile, which can be used for a variety of..\",21.0,20,True,2021-02-04 19:05:43.000000,1.8.0,19.0,stumpy,conda-forge/stumpy,,,,0.0,,https://pypi.org/project/stumpy,2021-02-04 19:05:43.000000,0.0,4101.0,4884.0,https://anaconda.org/conda-forge/stumpy,2021-02-05 23:28:08.904000,16452.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n578,AmpliGraph,Accenture/AmpliGraph,,graph,https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05.000000,2020-08-25 17:19:24.000000,2020-08-25 17:00:58.000000,157,21.0,157.0,1431,895.0,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,14.0,20,True,2020-08-25 17:06:46.000000,1.3.2,11.0,ampligraph,,,,['tensorflow'],10.0,10.0,https://pypi.org/project/ampligraph,2020-08-25 16:59:58.000000,,421.0,421.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n579,DELTA,Delta-ML/delta,,nlp,https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57.000000,2021-02-24 16:31:46.411783,2020-12-17 06:57:15.000000,279,9.0,68.0,1393,932.0,DELTA is a deep learning based natural language and speech processing platform.,41.0,20,True,2020-07-16 09:31:45.000000,0.3.3,4.0,delta-nlp,,zh794390558/delta,,['tensorflow'],,,https://pypi.org/project/delta-nlp,2020-03-27 04:46:19.000000,,3.0,574.0,,,,https://hub.docker.com/r/zh794390558/delta,2021-02-24 16:31:46.411783,,12000.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n580,hiddenlayer,waleedka/hiddenlayer,,ml-experiments,https://github.com/waleedka/hiddenlayer,https://github.com/waleedka/hiddenlayer,MIT,2018-05-18 22:34:51.000000,2020-04-24 07:32:11.000000,2020-04-24 06:58:09.000000,197,44.0,32.0,1390,58.0,\"Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.\",6.0,20,True,2018-12-03 04:33:29.000000,0.2,3.0,hiddenlayer,,,,\"['pytorch', 'tensorflow', 'jupyter']\",67.0,59.0,https://pypi.org/project/hiddenlayer,2020-04-24 07:32:11.000000,8.0,1277.0,1277.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n581,reformer-pytorch,lucidrains/reformer-pytorch,,pytorch-utils,https://github.com/lucidrains/reformer-pytorch,https://github.com/lucidrains/reformer-pytorch,MIT,2020-01-09 20:42:37.000000,2020-12-11 17:49:44.000000,2020-12-11 17:49:36.000000,172,3.0,94.0,1381,236.0,\"Reformer, the efficient Transformer, in Pytorch.\",9.0,20,True,2020-12-06 23:08:09.000000,1.2.4,132.0,reformer-pytorch,,,,['pytorch'],,,https://pypi.org/project/reformer-pytorch,2020-12-06 23:08:09.000000,,458.0,458.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n582,ThunderSVM,Xtra-Computing/thundersvm,,ml-frameworks,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04.000000,2021-02-10 05:12:44.000000,2021-02-10 05:12:44.000000,169,44.0,144.0,1274,902.0,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,33.0,20,True,2020-03-13 12:36:30.000000,0.3.12,9.0,thundersvm,,,,,,,https://pypi.org/project/thundersvm,2020-03-13 12:36:30.000000,,217.0,259.0,,,,,,,,3.0,2147.0,,,,,,,,,,,,,,,,,,,,,\n583,EfficientNets,rwightman/gen-efficientnet-pytorch,,pytorch-utils,https://github.com/rwightman/gen-efficientnet-pytorch,https://github.com/rwightman/gen-efficientnet-pytorch,Apache-2.0,2019-05-11 19:35:56.000000,2020-11-30 05:51:08.000000,2020-11-30 05:49:27.000000,169,,48.0,1253,106.0,\"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.\",5.0,20,True,2020-08-20 19:55:21.000000,1.0.0,9.0,geffnet,,,,['pytorch'],36.0,36.0,https://pypi.org/project/geffnet,2020-08-20 19:55:21.000000,0.0,1716.0,1716.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n584,checklist,marcotcr/checklist,,interpretability,https://github.com/marcotcr/checklist,https://github.com/marcotcr/checklist,MIT,2020-03-09 17:18:49.000000,2021-02-19 22:49:27.000000,2021-02-11 13:16:40.000000,102,3.0,62.0,1251,219.0,Beyond Accuracy: Behavioral Testing of NLP models with CheckList.,9.0,20,True,2020-09-21 18:30:40.000000,0.0.10,9.0,checklist,,,,['jupyter'],7.0,5.0,https://pypi.org/project/checklist,2020-09-21 18:30:40.000000,2.0,301.0,301.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n585,DLTK,DLTK/DLTK,,medical-data,https://github.com/DLTK/DLTK,https://github.com/DLTK/DLTK,Apache-2.0,2017-05-02 15:40:36.000000,2021-01-15 01:31:30.000000,2019-01-21 14:01:28.000000,384,11.0,24.0,1239,379.0,Deep Learning Toolkit for Medical Image Analysis.,9.0,20,False,2018-02-26 17:43:57.000000,0.2.1,5.0,dltk,,,,['tensorflow'],18.0,18.0,https://pypi.org/project/dltk,2018-02-26 17:43:57.000000,,68.0,68.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n586,MLBox,AxeldeRomblay/MLBox,,hyperopt,https://github.com/AxeldeRomblay/MLBox,https://github.com/AxeldeRomblay/MLBox,BSD-1-Clause,2017-06-01 16:59:24.000000,2020-11-24 17:57:08.000000,2020-08-25 09:26:27.000000,246,10.0,72.0,1192,1121.0,MLBox is a powerful Automated Machine Learning python library.,9.0,20,False,2020-08-25 09:32:37.000000,0.8.5,21.0,mlbox,,,,,20.0,20.0,https://pypi.org/project/mlbox,2020-08-25 09:32:37.000000,,810.0,810.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n587,tensorrec,jfkirk/tensorrec,,recommender-systems,https://github.com/jfkirk/tensorrec,https://github.com/jfkirk/tensorrec,Apache-2.0,2017-02-28 18:51:11.000000,2020-07-30 02:47:12.000000,2020-02-04 21:10:25.000000,206,33.0,90.0,1124,334.0,A TensorFlow recommendation algorithm and framework in Python.,8.0,20,True,2019-04-02 00:53:47.000000,0.26.2,30.0,tensorrec,,,,['tensorflow'],27.0,24.0,https://pypi.org/project/tensorrec,2019-04-02 00:53:47.000000,3.0,714.0,714.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n588,Torch Points 3D,nicolas-chaulet/torch-points3d,,image,https://github.com/nicolas-chaulet/torch-points3d,https://github.com/nicolas-chaulet/torch-points3d,BSD-3-Clause,2019-12-06 11:33:34.000000,2021-02-24 16:59:01.000000,2021-02-24 16:58:54.000000,154,41.0,162.0,1076,1589.0,Pytorch framework for doing deep learning on point clouds.,20.0,20,True,2020-12-18 10:34:16.000000,1.2.0,13.0,torch-points3d,,,,['pytorch'],2.0,2.0,https://pypi.org/project/torch-points3d,2020-12-18 10:34:16.000000,,196.0,196.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n589,Sockeye,awslabs/sockeye,,nlp,https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30.000000,2021-02-08 10:02:02.000000,2021-02-05 10:25:14.000000,294,20.0,222.0,987,736.0,Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet.,52.0,20,True,2021-02-08 10:02:02.000000,2.3.10,62.0,sockeye,,,,['mxnet'],2.0,,https://pypi.org/project/sockeye,2021-02-08 10:02:02.000000,2.0,385.0,385.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n590,Haiku,deepmind/dm-haiku,,ml-frameworks,https://github.com/deepmind/dm-haiku,https://github.com/deepmind/dm-haiku,Apache-2.0,2020-02-18 07:14:02.000000,2021-02-24 12:00:21.000000,2021-02-24 11:59:49.000000,67,20.0,50.0,974,490.0,JAX-based neural network library.,37.0,20,True,2020-11-24 11:25:05.000000,0.0.3,5.0,,,,,,64.0,64.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n591,fastFM,ibayer/fastFM,,recommender-systems,https://github.com/ibayer/fastFM,https://github.com/ibayer/fastFM,BSD-3-Clause,2014-10-27 12:25:51.000000,2020-03-05 14:57:53.000000,2020-03-05 14:57:52.000000,186,44.0,59.0,899,291.0,fastFM: A Library for Factorization Machines.,19.0,20,True,2017-11-23 06:59:56.000000,0.2.11,10.0,fastfm,,,,,84.0,76.0,https://pypi.org/project/fastfm,2017-11-23 06:59:56.000000,8.0,224.0,229.0,,,,,,,,3.0,374.0,,,,,,,,,,,,,,,,,,,,,\n592,pyts,johannfaouzi/pyts,,time-series-data,https://github.com/johannfaouzi/pyts,https://github.com/johannfaouzi/pyts,BSD-3-Clause,2017-07-31 09:23:16.000000,2020-09-12 14:41:49.000000,2020-04-30 12:28:12.000000,93,24.0,19.0,875,360.0,A Python package for time series classification.,7.0,20,True,2020-03-21 12:41:33.000000,0.11.0,17.0,pyts,conda-forge/pyts,,,,89.0,85.0,https://pypi.org/project/pyts,2020-03-21 12:36:40.000000,4.0,2873.0,3219.0,https://anaconda.org/conda-forge/pyts,2020-03-21 14:08:24.734000,6241.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n593,mrq,pricingassistant/mrq,,data-pipelines,https://github.com/pricingassistant/mrq,https://github.com/pricingassistant/mrq,MIT,2014-02-13 09:32:40.000000,2021-01-07 22:22:25.000000,2020-12-13 18:58:15.000000,113,58.0,119.0,836,709.0,Mr. Queue - A distributed worker task queue in Python using Redis & gevent.,37.0,20,True,2018-08-31 16:03:04.000000,0.9.10,70.0,mrq,,,,,35.0,23.0,https://pypi.org/project/mrq,2018-08-31 16:03:04.000000,12.0,239.0,239.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n594,TabNet,dreamquark-ai/tabnet,,pytorch-utils,https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000000,2021-02-23 01:20:57.000000,2021-02-02 08:04:53.000000,156,36.0,103.0,824,168.0,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,17.0,20,True,2021-02-02 08:05:11.000000,3.1.1,17.0,pytorch-tabnet,,,,['pytorch'],0.0,,https://pypi.org/project/pytorch-tabnet,2021-02-02 08:05:11.000000,0.0,4677.0,4677.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n595,TFEncrypted,tf-encrypted/tf-encrypted,,privacy-ml,https://github.com/tf-encrypted/tf-encrypted,https://github.com/tf-encrypted/tf-encrypted,Apache-2.0,2018-03-21 18:22:13.000000,2020-11-19 15:48:03.000000,2020-08-19 16:56:56.000000,135,166.0,231.0,821,595.0,A Framework for Encrypted Machine Learning in TensorFlow.,28.0,20,True,2019-09-27 20:00:01.000000,0.5.9,35.0,tf-encrypted,,,,['tensorflow'],62.0,46.0,https://pypi.org/project/tf-encrypted,2019-10-21 18:05:53.000000,16.0,266.0,266.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n596,nude.py,hhatto/nude.py,,image,https://github.com/hhatto/nude.py,https://github.com/hhatto/nude.py,MIT,2013-06-09 06:55:55.000000,2020-11-23 13:49:32.000000,2020-11-23 13:49:02.000000,128,6.0,2.0,793,79.0,Nudity detection with Python.,12.0,20,True,2020-11-23 13:49:17.000000,0.5.1,10.0,nudepy,,,,,104.0,86.0,https://pypi.org/project/nudepy,2020-11-23 13:49:17.000000,18.0,2824.0,2824.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n597,keras-ocr,faustomorales/keras-ocr,,ocr,https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50.000000,2020-12-11 02:31:17.000000,2020-11-26 17:18:25.000000,175,31.0,96.0,766,161.0,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,9.0,20,True,2020-11-26 17:19:39.000000,0.8.6,26.0,keras-ocr,,,,['tensorflow'],1.0,,https://pypi.org/project/keras-ocr,2020-11-26 17:19:39.000000,1.0,1460.0,5616.0,,,,,,,,3.0,20783.0,,,,,,,,,,,,,,,,,,,,,\n598,RecBole,RUCAIBox/RecBole,,recommender-systems,https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000000,2021-02-25 11:06:54.000000,2021-02-21 11:26:31.000000,106,28.0,57.0,752,2665.0,\"A unified, comprehensive and efficient recommendation library.\",27.0,20,True,2021-01-14 05:21:22.000000,0.2.0,4.0,recbole,aibox/recbole,,,['pytorch'],,,https://pypi.org/project/recbole,2021-01-14 05:21:22.000000,,116.0,185.0,https://anaconda.org/aibox/recbole,2021-01-14 06:11:03.469000,207.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n599,rows,turicas/rows,,data-loading,https://github.com/turicas/rows,https://github.com/turicas/rows,LGPL-3.0,2014-05-07 05:43:11.000000,2021-02-13 02:25:34.000000,2021-02-13 02:25:13.000000,131,138.0,149.0,737,738.0,\"A common, beautiful interface to tabular data, no matter the format.\",30.0,20,False,2019-02-14 21:20:15.000000,0.4.1,9.0,rows,,,,,169.0,117.0,https://pypi.org/project/rows,2019-02-14 21:12:03.000000,52.0,600.0,600.0,,,,,,,,3.0,37.0,,,,,,,,,,,,,,,,,,,,,\n600,Madmom,CPJKU/madmom,,audio,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06.000000,2020-04-14 03:42:18.000000,2019-12-19 14:46:37.000000,122,54.0,178.0,720,1722.0,Python audio and music signal processing library.,19.0,20,False,2018-11-14 14:57:41.000000,0.16.1,11.0,madmom,,,,,150.0,116.0,https://pypi.org/project/madmom,2018-11-14 14:56:22.000000,34.0,952.0,952.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n601,YouTokenToMe,vkcom/youtokentome,,nlp,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28.000000,2021-01-28 23:05:01.000000,2021-01-28 19:04:09.000000,44,20.0,22.0,719,79.0,Unsupervised text tokenizer focused on computational efficiency.,6.0,20,True,2020-02-13 09:57:47.000000,1.0.6,14.0,youtokentome,,,,,110.0,98.0,https://pypi.org/project/youtokentome,2020-02-12 18:24:46.000000,12.0,3608.0,3608.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n602,mlens,flennerhag/mlens,,others,https://github.com/flennerhag/mlens,https://github.com/flennerhag/mlens,MIT,2017-01-10 20:53:47.000000,2020-02-25 14:32:48.000000,2020-02-25 14:31:53.000000,84,8.0,73.0,677,879.0,ML-Ensemble high performance ensemble learning.,7.0,20,True,2018-10-30 22:34:35.000000,0.2.3,14.0,mlens,,,,,113.0,110.0,https://pypi.org/project/mlens,2018-10-30 22:30:43.000000,3.0,1351.0,1351.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n603,NeuPy,itdxer/neupy,,ml-frameworks,https://github.com/itdxer/neupy,https://github.com/itdxer/neupy,MIT,2015-08-24 19:45:11.000000,2020-01-15 08:04:33.000000,2019-09-02 19:02:38.000000,148,27.0,229.0,665,1145.0,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,6.0,20,False,2019-04-04 19:44:59.000000,0.8.2,34.0,neupy,,,,,112.0,101.0,https://pypi.org/project/neupy,2019-04-04 19:43:06.000000,11.0,715.0,715.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n604,finetune,IndicoDataSolutions/finetune,,nlp,https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16.000000,2021-02-25 01:34:31.000000,2021-02-19 22:42:31.000000,66,19.0,115.0,632,1201.0,Scikit-learn style model finetuning for NLP.,19.0,20,True,2020-01-10 22:42:24.000000,0.8.6,37.0,finetune,,,,\"['tensorflow', 'sklearn']\",11.0,9.0,https://pypi.org/project/finetune,2020-01-10 22:42:24.000000,2.0,158.0,158.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n605,TensorBoard Logger,TeamHG-Memex/tensorboard_logger,,ml-experiments,https://github.com/TeamHG-Memex/tensorboard_logger,https://github.com/TeamHG-Memex/tensorboard_logger,MIT,2016-10-27 14:02:25.000000,2020-10-27 20:51:06.000000,2019-10-21 07:52:07.000000,52,9.0,15.0,609,46.0,Log TensorBoard events without touching TensorFlow.,5.0,20,False,2018-02-08 07:28:51.000000,0.1.0,5.0,tensorboard_logger,,,,,96.0,,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51.000000,96.0,38236.0,38236.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n606,torch-scatter,rusty1s/pytorch_scatter,,pytorch-utils,https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23.000000,2021-02-12 12:51:51.000000,2021-02-12 12:51:48.000000,73,61.0,111.0,601,811.0,PyTorch Extension Library of Optimized Scatter Operations.,14.0,20,True,2020-06-24 09:29:12.000000,2.0.5,24.0,torch-scatter,,,,['pytorch'],32.0,,https://pypi.org/project/torch-scatter,2020-02-22 16:51:10.000000,32.0,4201.0,4201.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n607,Torchbearer,pytorchbearer/torchbearer,,ml-frameworks,https://github.com/pytorchbearer/torchbearer,https://github.com/pytorchbearer/torchbearer,MIT,2018-03-12 16:30:42.000000,2021-02-21 16:41:50.000000,2021-02-21 16:41:49.000000,62,8.0,237.0,582,428.0,torchbearer: A model fitting library for PyTorch.,13.0,20,True,2020-01-31 14:07:22.000000,0.5.3,24.0,torchbearer,,,,['pytorch'],44.0,38.0,https://pypi.org/project/torchbearer,2020-01-31 14:05:56.000000,6.0,337.0,337.0,,,,,,,,3.0,,,2.0,,,,,,,,,,,,,,,,,,,\n608,pdpipe,pdpipe/pdpipe,,data-pipelines,https://github.com/pdpipe/pdpipe,https://github.com/pdpipe/pdpipe,MIT,2017-01-24 20:37:22.000000,2021-02-23 19:36:13.000000,2021-02-23 18:30:54.000000,29,6.0,15.0,580,342.0,Easy pipelines for pandas DataFrames.,8.0,20,True,2021-02-23 19:40:09.000000,0.0.51,49.0,pdpipe,,,,['pandas'],26.0,26.0,https://pypi.org/project/pdpipe,2020-11-09 09:32:37.000000,,751.0,751.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n609,baikal,alegonz/baikal,,others,https://github.com/alegonz/baikal,https://github.com/alegonz/baikal,BSD-3-Clause,2019-01-21 12:59:02.000000,2021-01-31 09:13:47.685000,2021-01-30 09:29:45.000000,28,4.0,11.0,572,400.0,A graph-based functional API for building complex scikit-learn pipelines.,2.0,20,True,2020-11-15 13:40:18.000000,0.4.2,7.0,baikal,conda-forge/cython-blis,,,,3.0,3.0,https://pypi.org/project/baikal,2020-11-15 13:40:18.000000,,44.0,18015.0,https://anaconda.org/conda-forge/cython-blis,2021-01-31 09:13:47.685000,413341.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n610,alibi-detect,SeldonIO/alibi-detect,,others,https://github.com/SeldonIO/alibi-detect,https://github.com/SeldonIO/alibi-detect,Apache-2.0,2019-10-07 13:29:13.000000,2021-02-18 15:13:47.000000,2021-02-18 15:13:47.000000,57,35.0,49.0,571,319.0,\"Algorithms for outlier and adversarial instance detection, concept drift and metrics.\",7.0,20,True,2021-02-18 15:12:29.000000,0.5.0,10.0,alibi-detect,,,,,20.0,19.0,https://pypi.org/project/alibi-detect,2021-02-18 15:10:09.000000,1.0,728.0,728.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n611,Mapbox GL,mapbox/mapboxgl-jupyter,,geospatial-data,https://github.com/mapbox/mapboxgl-jupyter,https://github.com/mapbox/mapboxgl-jupyter,MIT,2017-08-08 15:10:51.000000,2019-12-13 22:49:07.000000,2019-12-03 21:57:25.000000,119,34.0,67.0,556,220.0,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,20.0,20,False,2019-06-03 21:24:10.000000,0.10.2,20.0,mapboxgl,,,,['jupyter'],109.0,91.0,https://pypi.org/project/mapboxgl,2019-06-02 15:18:57.000000,18.0,3202.0,3202.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n612,bambi,bambinos/bambi,,probabilistics,https://github.com/bambinos/bambi,https://github.com/bambinos/bambi,MIT,2016-05-16 03:21:00.000000,2021-02-25 14:18:06.000000,2021-02-24 13:43:43.000000,49,26.0,131.0,543,527.0,BAyesian Model-Building Interface (Bambi) in Python.,15.0,20,True,2020-12-17 01:23:21.000000,0.3.0,10.0,bambi,,,,,13.0,10.0,https://pypi.org/project/bambi,2020-12-17 01:23:21.000000,3.0,192.0,192.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n613,lets-plot,JetBrains/lets-plot,,data-viz,https://github.com/JetBrains/lets-plot,https://github.com/JetBrains/lets-plot,MIT,2019-03-20 16:13:03.000000,2021-02-25 15:19:45.000000,2021-02-22 20:36:06.000000,15,65.0,78.0,512,1831.0,An open-source plotting library for statistical data.,15.0,20,True,2021-02-09 19:58:21.000000,2.0.0,28.0,lets-plot,,,,,7.0,7.0,https://pypi.org/project/lets-plot,2021-02-09 19:50:17.000000,,2516.0,2516.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n614,HpBandSter,automl/HpBandSter,,hyperopt,https://github.com/automl/HpBandSter,https://github.com/automl/HpBandSter,BSD-3-Clause,2017-12-17 20:28:20.000000,2021-01-31 10:05:37.000000,2019-03-26 09:26:28.000000,96,57.0,35.0,454,187.0,a distributed Hyperband implementation on Steroids.,11.0,20,False,2019-07-30 12:47:43.000000,1.0,8.0,hpbandster,,,,,138.0,122.0,https://pypi.org/project/hpbandster,2018-11-06 12:56:55.000000,16.0,7714.0,7714.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n615,seglearn,dmbee/seglearn,,time-series-data,https://github.com/dmbee/seglearn,https://github.com/dmbee/seglearn,BSD-3-Clause,2018-03-05 20:53:59.000000,2021-01-17 19:11:59.000000,2021-01-16 23:21:41.000000,47,6.0,21.0,433,267.0,Python module for machine learning time series:.,13.0,20,True,2021-01-17 19:11:59.000000,1.2.2,21.0,seglearn,,,,,8.0,7.0,https://pypi.org/project/seglearn,2021-01-17 19:11:59.000000,1.0,1157.0,1157.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n616,Labml,lab-ml/labml,,ml-experiments,https://github.com/lab-ml/labml,https://github.com/lab-ml/labml,MIT,2018-11-16 09:34:48.000000,2021-02-16 10:22:52.000000,2021-02-16 10:22:45.000000,40,,6.0,432,916.0,Monitor PyTorch & TensorFlow model training from your mobile phone.,6.0,20,True,2021-02-16 10:22:36.000000,0.4.103,80.0,labml,,,,,21.0,21.0,https://pypi.org/project/labml,2021-02-16 10:22:36.000000,0.0,477.0,477.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n617,optunity,claesenm/optunity,,hyperopt,https://github.com/claesenm/optunity,https://github.com/claesenm/optunity,BSD-3-Clause,2014-05-28 17:29:11.000000,2020-05-11 14:32:39.000000,2020-05-11 14:32:38.000000,74,46.0,48.0,363,782.0,optimization routines for hyperparameter tuning.,9.0,20,True,2015-09-30 05:02:00.000000,1.1.1,6.0,optunity,,,,,82.0,58.0,https://pypi.org/project/optunity,2015-09-30 05:02:00.000000,24.0,6568.0,6568.0,,,,,,,,3.0,62.0,,,,,,,,,,,,,,,,,,,,,\n618,explainerdashboard,oegedijk/explainerdashboard,,interpretability,https://github.com/oegedijk/explainerdashboard,https://github.com/oegedijk/explainerdashboard,MIT,2019-10-30 08:26:16.000000,2021-02-24 15:59:51.000000,2021-02-18 19:08:10.000000,45,8.0,66.0,338,545.0,Quickly build Explainable AI dashboards that show the inner workings of so-called blackbox machine learning models.,8.0,20,True,2021-01-31 13:47:03.000000,0.3.1,67.0,explainerdashboard,,,,,7.0,7.0,https://pypi.org/project/explainerdashboard,2021-01-31 13:47:03.000000,,1767.0,1767.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n619,BioPandas,rasbt/biopandas,,others,https://github.com/rasbt/biopandas,https://github.com/rasbt/biopandas,BSD-3-Clause,2015-11-21 00:00:14.000000,2021-01-01 17:08:09.000000,2021-01-01 17:08:08.000000,76,16.0,18.0,327,144.0,Working with molecular structures in pandas DataFrames.,7.0,20,True,2020-08-04 13:52:27.000000,0.2.7,11.0,biopandas,conda-forge/biopandas,,,['pandas'],58.0,52.0,https://pypi.org/project/biopandas,2020-08-04 13:49:59.000000,6.0,185.0,1533.0,https://anaconda.org/conda-forge/biopandas,2020-08-08 06:33:59.197000,67418.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n620,MedPy,loli/medpy,,medical-data,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34.000000,2020-05-01 15:25:39.000000,2020-05-01 15:25:38.000000,106,9.0,65.0,314,324.0,Medical image processing in Python.,13.0,20,False,2019-02-14 17:12:59.000000,0.4.0,6.0,MedPy,,,,,255.0,225.0,https://pypi.org/project/MedPy,2019-02-14 17:12:59.000000,30.0,2536.0,2536.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n621,DESlib,scikit-learn-contrib/DESlib,,sklearn-utils,https://github.com/scikit-learn-contrib/DESlib,https://github.com/scikit-learn-contrib/DESlib,BSD-3-Clause,2017-12-08 22:49:49.000000,2021-02-09 20:14:24.000000,2021-02-09 20:14:21.000000,73,14.0,122.0,313,263.0,A Python library for dynamic classifier and ensemble selection.,12.0,20,True,2021-02-08 06:29:25.000000,0.3.5,4.0,deslib,,,,['sklearn'],14.0,14.0,https://pypi.org/project/deslib,2021-02-08 06:29:25.000000,0.0,160.0,160.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n622,scikit-rebate,EpistasisLab/scikit-rebate,,others,https://github.com/EpistasisLab/scikit-rebate,https://github.com/EpistasisLab/scikit-rebate,MIT,2016-09-19 13:36:17.000000,2021-02-15 17:41:57.000000,2021-02-15 17:10:59.000000,58,13.0,18.0,309,283.0,\"A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for..\",13.0,20,True,2017-04-12 16:12:01.000000,0.3.4,12.0,skrebate,,,,['sklearn'],182.0,120.0,https://pypi.org/project/skrebate,2021-02-15 17:25:49.000000,62.0,857.0,857.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n623,Submit it,facebookincubator/submitit,,distributed-ml,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09.000000,2021-02-25 09:26:29.000000,2021-02-10 11:19:06.000000,20,10.0,18.0,308,54.0,Python 3.6+ toolbox for submitting jobs to Slurm.,9.0,20,True,2021-02-10 11:17:48.000000,1.2.1,10.0,submitit,conda-forge/submitit,,,,92.0,92.0,https://pypi.org/project/submitit,2021-02-10 11:17:48.000000,0.0,1736.0,1963.0,https://anaconda.org/conda-forge/submitit,2021-02-10 12:48:57.745000,1367.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n624,sklearn-evaluation,edublancas/sklearn-evaluation,,interpretability,https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2015-09-04 16:33:42.000000,2020-12-28 15:14:00.000000,2020-12-28 15:10:09.000000,25,8.0,27.0,286,504.0,\"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook..\",5.0,20,True,2020-12-28 15:14:25.000000,0.5.4,16.0,sklearn-evaluation,,,,['sklearn'],29.0,27.0,https://pypi.org/project/sklearn-evaluation,2020-12-28 15:13:44.000000,2.0,256.0,256.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n625,rrcf,kLabUM/rrcf,,others,https://github.com/kLabUM/rrcf,https://github.com/kLabUM/rrcf,MIT,2018-10-20 05:39:05.000000,2021-01-13 23:05:23.000000,2020-06-10 01:07:39.000000,68,16.0,17.0,285,253.0,Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams.,4.0,20,True,2020-06-10 01:53:55.000000,0.4.3,7.0,rrcf,,,,,18.0,18.0,https://pypi.org/project/rrcf,2020-06-10 01:53:55.000000,0.0,2028.0,2028.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n626,impyute,eltonlaw/impyute,,others,https://github.com/eltonlaw/impyute,https://github.com/eltonlaw/impyute,MIT,2017-01-21 09:16:27.000000,2020-06-12 21:08:40.000000,2019-10-05 20:39:08.000000,40,26.0,36.0,270,289.0,Data imputations library to preprocess datasets with missing data.,9.0,20,False,2019-04-29 02:31:32.000000,0.0.8,8.0,impyute,,,,,84.0,80.0,https://pypi.org/project/impyute,2019-04-29 02:31:32.000000,4.0,1385.0,1385.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n627,EarthPy,earthlab/earthpy,,geospatial-data,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000000,2021-02-25 06:53:15.000000,2021-02-20 00:50:32.000000,102,16.0,200.0,230,,A package built to support working with spatial data using open source python.,39.0,20,True,2020-06-18 23:58:08.000000,0.9.2,22.0,earthpy,conda-forge/earthpy,,,,83.0,77.0,https://pypi.org/project/earthpy,2020-06-18 23:58:08.000000,6.0,1383.0,2664.0,https://anaconda.org/conda-forge/earthpy,2020-06-19 15:23:44.425000,28186.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n628,StaticFrame,InvestmentSystems/static-frame,,data-containers,https://github.com/InvestmentSystems/static-frame,https://github.com/InvestmentSystems/static-frame,MIT,2018-01-03 15:07:52.000000,2021-02-25 01:19:06.000000,2021-02-25 01:18:57.000000,20,27.0,257.0,212,2384.0,Immutable and grow-only Pandas-like DataFrames with a more explicit and consistent interface.,15.0,20,True,2021-02-19 19:22:55.000000,0.8.1,100.0,static-frame,conda-forge/static-frame,,,,6.0,6.0,https://pypi.org/project/static-frame,2021-02-19 19:21:04.000000,0.0,644.0,3405.0,https://anaconda.org/conda-forge/static-frame,2021-02-20 03:18:00.098000,66264.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n629,Auto ViML,AutoViML/Auto_ViML,,hyperopt,https://github.com/AutoViML/Auto_ViML,https://github.com/AutoViML/Auto_ViML,Apache-2.0,2019-06-10 13:09:15.000000,2021-01-15 14:52:54.000000,2021-01-15 14:48:07.000000,53,3.0,13.0,209,284.0,Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome...,6.0,20,True,2021-01-15 14:52:54.000000,0.1.677,126.0,autoviml,,,,,13.0,13.0,https://pypi.org/project/autoviml,2021-01-15 14:52:54.000000,,186.0,186.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n630,fletcher,xhochy/fletcher,,data-containers,https://github.com/xhochy/fletcher,https://github.com/xhochy/fletcher,MIT,2018-03-04 16:44:22.000000,2021-02-18 14:46:18.000000,2021-02-18 14:46:18.000000,32,33.0,40.0,207,520.0,Pandas ExtensionDType/Array backed by Apache Arrow.,24.0,20,True,2021-01-17 20:11:01.000000,0.7.2,16.0,fletcher,conda-forge/fletcher,,,['pandas'],3.0,3.0,https://pypi.org/project/fletcher,2021-01-17 20:11:01.000000,0.0,184.0,822.0,https://anaconda.org/conda-forge/fletcher,2021-01-17 21:23:17.140000,19775.0,,,,,3.0,12.0,,,,,,,,,,,,,,,,,,,,,\n631,ploomber,ploomber/ploomber,,data-pipelines,https://github.com/ploomber/ploomber,https://github.com/ploomber/ploomber,Apache-2.0,2020-01-20 20:13:06.000000,2021-02-25 13:11:36.000000,2021-02-15 13:54:50.000000,2,49.0,238.0,189,1606.0,\"A convention over configuration workflow orchestrator. Develop locally (Jupyter or your favorite editor), deploy to..\",4.0,20,True,2021-02-15 14:12:10.000000,0.9.4,37.0,ploomber,,,,,13.0,13.0,https://pypi.org/project/ploomber,2021-02-15 14:12:10.000000,0.0,1135.0,1135.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n632,scikit-posthocs,maximtrp/scikit-posthocs,,probabilistics,https://github.com/maximtrp/scikit-posthocs,https://github.com/maximtrp/scikit-posthocs,MIT,2017-06-22 19:41:37.000000,2021-02-18 18:51:52.000000,2021-02-18 18:51:36.000000,19,3.0,34.0,179,445.0,Multiple Pairwise Comparisons (Post Hoc) Tests in Python.,8.0,20,True,2020-10-12 19:15:07.000000,0.6.6,20.0,scikit-posthocs,,,,['sklearn'],6.0,,https://pypi.org/project/scikit-posthocs,2020-10-12 19:06:51.000000,6.0,11375.0,11375.0,,,,,,,,3.0,19.0,,,,,,,,,,,,,,,,,,,,,\n633,graph-nets,deepmind/graph_nets,,graph,https://github.com/deepmind/graph_nets,https://github.com/deepmind/graph_nets,Apache-2.0,2018-08-31 08:19:28.000000,2020-12-04 17:43:48.000000,2020-12-04 17:43:47.000000,728,6.0,108.0,4799,47.0,Build Graph Nets in Tensorflow.,10.0,19,True,2020-01-29 16:00:25.000000,1.1.0,7.0,graph-nets,,,,['tensorflow'],7.0,,https://pypi.org/project/graph-nets,2020-01-29 16:00:25.000000,7.0,550.0,550.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n634,TRFL,deepmind/trfl,,reinforcement-learning,https://github.com/deepmind/trfl,https://github.com/deepmind/trfl,Apache-2.0,2018-08-08 14:44:11.000000,2020-11-06 04:44:44.000000,2020-04-20 13:05:56.000000,372,6.0,16.0,3063,116.0,TensorFlow Reinforcement Learning.,12.0,19,True,2020-04-20 14:11:57.000000,1.1.0,4.0,trfl,,,,['tensorflow'],40.0,38.0,https://pypi.org/project/trfl,2020-04-20 14:11:57.000000,2.0,530.0,530.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n635,AdaBound,Luolc/AdaBound,,pytorch-utils,https://github.com/Luolc/AdaBound,https://github.com/Luolc/AdaBound,Apache-2.0,2019-02-15 18:05:20.000000,2019-03-06 17:01:52.000000,2019-03-06 17:01:45.000000,323,16.0,7.0,2830,27.0,An optimizer that trains as fast as Adam and as good as SGD.,2.0,19,False,2019-03-06 16:44:42.000000,0.0.5,4.0,adabound,,,,['pytorch'],115.0,103.0,https://pypi.org/project/adabound,2019-02-26 04:23:45.000000,12.0,631.0,631.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n636,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,,graph,https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16.000000,2021-02-19 01:29:28.000000,2021-01-19 22:30:34.000000,361,31.0,100.0,2689,142.0,Generate embeddings from large-scale graph-structured data.,19.0,19,True,2019-10-14 16:45:11.000000,1.0.0,3.0,torchbiggraph,,,,['pytorch'],4.0,,https://pypi.org/project/torchbiggraph,2019-05-01 21:31:13.000000,4.0,281.0,286.0,,,,,,,,3.0,112.0,,,,,,,,,,,,,,,,,,,,,\n637,tf-quant-finance,google/tf-quant-finance,,financial-data,https://github.com/google/tf-quant-finance,https://github.com/google/tf-quant-finance,Apache-2.0,2019-07-24 16:09:50.000000,2021-02-25 13:13:49.000000,2021-02-25 13:13:42.000000,306,11.0,11.0,2481,647.0,High-performance TensorFlow library for quantitative finance.,30.0,19,True,,,21.0,tf-quant-finance,,,,['tensorflow'],4.0,4.0,https://pypi.org/project/tf-quant-finance,2021-02-01 16:10:08.000000,0.0,115.0,115.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n638,DeepWalk,phanein/deepwalk,,graph,https://github.com/phanein/deepwalk,https://github.com/phanein/deepwalk,GPL-3.0,2014-08-23 03:38:20.000000,2020-04-02 01:05:36.000000,2020-04-02 01:05:35.000000,755,29.0,78.0,2179,46.0,DeepWalk - Deep Learning for Graphs.,10.0,19,False,2018-04-29 21:05:18.000000,1.0.3,4.0,deepwalk,,,,,43.0,36.0,https://pypi.org/project/deepwalk,2018-04-29 21:05:18.000000,7.0,843.0,843.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n639,Apache Singa,apache/singa,,distributed-ml,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000000,2021-01-29 11:48:23.000000,2021-01-15 13:09:22.000000,607,40.0,35.0,2172,2265.0,a distributed deep learning platform.,70.0,19,True,2020-04-21 08:01:08.000000,3.0.0,14.0,,nusdbsystem/singa,apache/singa,,,1.0,1.0,,,,,7.0,https://anaconda.org/nusdbsystem/singa,2021-01-20 03:00:28.355000,259.0,https://hub.docker.com/r/apache/singa,2019-06-04 04:32:52.195956,2.0,165.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n640,Kashgari,BrikerMan/Kashgari,,nlp,https://github.com/BrikerMan/Kashgari,https://github.com/BrikerMan/Kashgari,Apache-2.0,2019-01-19 01:53:28.000000,2020-12-09 02:13:33.000000,2020-10-29 08:08:00.000000,384,34.0,306.0,2034,,Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-..,19.0,19,True,2020-10-30 12:37:01.000000,2.0.1,23.0,kashgari-tf,,,,['tensorflow'],24.0,23.0,https://pypi.org/project/kashgari-tf,2019-10-18 07:57:55.000000,1.0,80.0,80.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n641,HiPlot,facebookresearch/hiplot,,data-viz,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41.000000,2021-02-10 16:12:37.041000,2021-02-10 11:52:12.000000,90,10.0,48.0,2015,121.0,HiPlot makes understanding high dimensional data easy.,6.0,19,True,2021-02-10 13:54:47.000000,0.1.23,42.0,hiplot,conda-forge/hiplot,,,,2.0,2.0,https://pypi.org/project/hiplot,2021-02-10 13:54:47.000000,0.0,2035.0,5972.0,https://anaconda.org/conda-forge/hiplot,2021-02-10 16:12:37.041000,47244.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n642,cuML,rapidsai/cuml,,gpu-utilities,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000000,2021-02-25 15:06:53.000000,2021-02-25 00:10:07.000000,310,629.0,987.0,1954,,cuML - RAPIDS Machine Learning Library.,122.0,19,True,2021-02-24 21:41:14.000000,0.18.0,7.0,cuml,,,,,0.0,,https://pypi.org/project/cuml,2020-06-01 20:09:10.000000,0.0,195.0,195.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n643,Coach,IntelLabs/coach,,reinforcement-learning,https://github.com/IntelLabs/coach,https://github.com/IntelLabs/coach,Apache-2.0,2017-10-01 19:27:43.000000,2021-02-09 13:54:52.000000,2021-02-09 13:54:44.000000,374,80.0,181.0,1925,513.0,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,34.0,19,True,2019-10-10 14:17:10.000000,1.0.1,13.0,rl_coach,,,,,2.0,,https://pypi.org/project/rl_coach,2019-10-10 14:17:10.000000,2.0,84.0,84.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n644,Sweetviz,fbdesignpro/sweetviz,,data-viz,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47.000000,2021-02-23 15:37:25.000000,2021-02-23 15:36:32.000000,145,20.0,51.0,1305,92.0,\"Visualize and compare datasets, target values and associations, with one line of code.\",6.0,19,True,2021-02-23 15:37:25.000000,2.0.8,26.0,sweetviz,,,,,0.0,,https://pypi.org/project/sweetviz,2021-02-23 15:37:25.000000,0.0,6338.0,6338.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n645,doc2text,jlsutherland/doc2text,,ocr,https://github.com/jlsutherland/doc2text,https://github.com/jlsutherland/doc2text,MIT,2016-08-28 19:30:02.000000,2020-12-01 22:56:27.000000,2020-12-01 22:56:26.000000,91,12.0,9.0,1228,62.0,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,5.0,19,True,2016-09-06 21:59:21.000000,0.2.4,5.0,doc2text,,,,,32.0,32.0,https://pypi.org/project/doc2text,2016-09-06 21:59:21.000000,,213.0,213.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n646,Higher,facebookresearch/higher,,pytorch-utils,https://github.com/facebookresearch/higher,https://github.com/facebookresearch/higher,Apache-2.0,2019-09-06 18:58:36.000000,2021-02-25 01:57:15.000000,2020-10-28 16:53:07.000000,76,27.0,48.0,1058,28.0,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,6.0,19,True,2020-07-14 12:20:32.000000,0.2.1,2.0,higher,,,,['pytorch'],35.0,35.0,https://pypi.org/project/higher,2020-07-14 12:20:32.000000,0.0,7902.0,7902.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n647,CausalNex,quantumblacklabs/causalnex,,interpretability,https://github.com/quantumblacklabs/causalnex,https://github.com/quantumblacklabs/causalnex,Apache-2.0,2019-12-12 15:26:09.000000,2021-02-12 00:01:14.000000,2021-02-11 23:36:56.000000,107,32.0,35.0,985,93.0,A Python library that helps data scientists to infer causation rather than observing correlation.,16.0,19,True,2021-01-06 22:07:04.000000,0.9.1,13.0,causalnex,,,,\"['pytorch', 'sklearn']\",9.0,9.0,https://pypi.org/project/causalnex,2021-01-06 22:10:09.000000,,5809.0,5809.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n648,TensorNets,taehoonlee/tensornets,,tensorflow-utils,https://github.com/taehoonlee/tensornets,https://github.com/taehoonlee/tensornets,MIT,2017-09-19 05:19:01.000000,2021-01-02 06:28:10.000000,2021-01-02 06:26:24.000000,187,14.0,42.0,979,284.0,High level network definitions with pre-trained weights in TensorFlow.,6.0,19,True,2020-03-31 04:38:27.000000,0.4.6,12.0,tensornets,,,,['tensorflow'],35.0,31.0,https://pypi.org/project/tensornets,2020-03-31 04:35:15.000000,4.0,121.0,121.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n649,Skater,oracle/Skater,,interpretability,https://github.com/oracle/Skater,https://github.com/oracle/Skater,UPL-1.0,2017-01-26 05:45:42.000000,2020-11-01 15:57:12.273000,2020-06-29 20:07:12.000000,162,68.0,97.0,969,1101.0,Python Library for Model Interpretation/Explanations.,34.0,19,False,2018-09-21 07:03:32.000000,1.1.2,23.0,skater,conda-forge/skater,,,,,,https://pypi.org/project/skater,2018-09-21 07:03:32.000000,,6843.0,7620.0,https://anaconda.org/conda-forge/skater,2020-11-01 15:57:12.273000,34206.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n650,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,,pytorch-utils,https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000000,2021-02-25 11:08:46.000000,2021-02-25 11:08:33.000000,71,3.0,14.0,915,610.0,PyTorch extensions for fast R&D prototyping and Kaggle farming.,5.0,19,True,2021-01-14 10:42:46.000000,0.4.1,19.0,pytorch_toolbelt,,,,['pytorch'],2.0,,https://pypi.org/project/pytorch_toolbelt,2021-01-14 10:42:46.000000,2.0,6148.0,6148.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n651,gplearn,trevorstephens/gplearn,,others,https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14.000000,2020-02-15 08:12:38.000000,2020-02-15 08:12:17.000000,155,31.0,116.0,908,146.0,\"Genetic Programming in Python, with a scikit-learn inspired API.\",10.0,19,True,2019-06-01 02:04:52.000000,0.4.1,5.0,gplearn,,,,['sklearn'],152.0,138.0,https://pypi.org/project/gplearn,2019-06-01 02:04:52.000000,14.0,564.0,564.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n652,geoplotlib,andrea-cuttone/geoplotlib,,geospatial-data,https://github.com/andrea-cuttone/geoplotlib,https://github.com/andrea-cuttone/geoplotlib,MIT,2015-02-24 13:13:07.000000,2020-04-10 20:00:31.000000,2019-05-06 07:06:50.000000,144,24.0,18.0,895,159.0,python toolbox for visualizing geographical data and making maps.,8.0,19,False,2016-07-27 14:55:01.000000,0.3.2,4.0,geoplotlib,,,,,101.0,90.0,https://pypi.org/project/geoplotlib,2016-07-27 14:55:01.000000,11.0,799.0,799.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n653,pytorch-forecasting,jdb78/pytorch-forecasting,,time-series-data,https://github.com/jdb78/pytorch-forecasting,https://github.com/jdb78/pytorch-forecasting,MIT,2020-07-03 13:05:24.000000,2021-02-25 06:50:09.000000,2021-02-24 08:53:40.000000,90,43.0,102.0,798,707.0,Time series forecasting with PyTorch.,16.0,19,True,2021-01-31 22:54:04.000000,0.8.3,24.0,pytorch-forecasting,,,,,,,https://pypi.org/project/pytorch-forecasting,2021-01-31 22:54:04.000000,,2929.0,2929.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n654,calamari,Calamari-OCR/calamari,,ocr,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,Apache-2.0,2018-03-20 15:22:29.000000,2021-02-25 07:44:31.000000,2021-02-24 20:51:27.000000,165,21.0,148.0,783,336.0,Line based ATR Engine based on OCRopy.,17.0,19,True,2021-02-13 15:03:34.000000,2.0.1,24.0,calamari_ocr,,,,,2.0,,https://pypi.org/project/calamari_ocr,2018-11-13 11:24:45.000000,2.0,372.0,372.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n655,TF Recommenders,tensorflow/recommenders,,recommender-systems,https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01.000000,2021-02-25 05:34:49.000000,2021-02-24 21:00:13.000000,79,37.0,59.0,733,,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,17.0,19,True,2021-01-21 00:51:17.000000,0.4.0,8.0,tensorflow-recommenders,,,,['tensorflow'],12.0,12.0,https://pypi.org/project/tensorflow-recommenders,2021-01-21 00:51:17.000000,,2150.0,2150.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n656,NearPy,pixelogik/NearPy,,nn-search,https://github.com/pixelogik/NearPy,https://github.com/pixelogik/NearPy,MIT,2013-04-25 09:10:26.000000,2020-02-17 20:24:08.000000,2018-10-21 17:54:28.000000,135,23.0,38.0,662,159.0,\"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..\",18.0,19,False,2016-09-27 13:04:44.000000,1.0.0,8.0,NearPy,,,,,65.0,49.0,https://pypi.org/project/NearPy,2016-09-27 13:03:12.000000,16.0,961.0,961.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n657,Test Tube,williamFalcon/test-tube,,hyperopt,https://github.com/williamFalcon/test-tube,https://github.com/williamFalcon/test-tube,MIT,2017-09-06 02:14:57.000000,2021-01-17 20:04:39.000000,2020-03-17 22:44:47.000000,61,25.0,21.0,657,642.0,Python library to easily log experiments and parallelize hyperparameter search for neural networks.,16.0,19,True,2019-12-01 01:19:36.000000,0.7.5,53.0,test_tube,,,,,5.0,,https://pypi.org/project/test_tube,2018-12-12 22:45:59.000000,5.0,6902.0,6902.0,,,,,,,,3.0,8.0,,,,,,,,,,,,,,,,,,,,,\n658,NGT,yahoojapan/NGT,,nn-search,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000000,2021-02-18 22:07:55.000000,2021-02-18 22:07:10.000000,69,8.0,70.0,627,124.0,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,11.0,19,True,2021-02-14 23:05:20.000000,1.13.4,47.0,ngt,,,,,6.0,,https://pypi.org/project/ngt,2020-09-23 06:52:45.000000,6.0,2134.0,2134.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n659,matrixprofile-ts,target/matrixprofile-ts,,time-series-data,https://github.com/target/matrixprofile-ts,https://github.com/target/matrixprofile-ts,Apache-2.0,2018-09-10 19:03:34.000000,2020-04-25 18:38:20.000000,2020-04-25 18:37:42.000000,92,19.0,34.0,610,198.0,A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile.,15.0,19,True,2019-08-08 01:24:38.000000,0.0.9,9.0,matrixprofile-ts,,,,,12.0,12.0,https://pypi.org/project/matrixprofile-ts,2019-08-08 01:24:38.000000,,1165.0,1165.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n660,Objax,google/objax,,ml-frameworks,https://github.com/google/objax,https://github.com/google/objax,Apache-2.0,2020-08-20 06:20:40.000000,2021-02-23 20:46:17.000000,2021-02-23 20:46:17.000000,45,41.0,49.0,573,402.0,Objax is a machine learning framework that provides an Object Oriented layer for JAX.,20.0,19,True,2021-02-03 19:08:33.000000,1.3.1,6.0,objax,,,,['jax'],5.0,5.0,https://pypi.org/project/objax,2021-02-03 18:57:30.000000,0.0,742.0,742.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n661,PFRL,pfnet/pfrl,,reinforcement-learning,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50.000000,2021-02-24 04:11:48.000000,2021-02-03 02:45:05.000000,62,22.0,23.0,524,339.0,PFRL: a PyTorch-based deep reinforcement learning library.,11.0,19,True,2020-12-17 05:00:25.000000,0.2.1,4.0,pfrl,,,,,5.0,5.0,https://pypi.org/project/pfrl,2020-12-17 05:00:25.000000,,461.0,461.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n662,iterative-stratification,trent-b/iterative-stratification,,sklearn-utils,https://github.com/trent-b/iterative-stratification,https://github.com/trent-b/iterative-stratification,BSD-3-Clause,2018-02-04 00:32:10.000000,2020-09-12 15:32:44.000000,2020-09-12 15:35:02.000000,47,1.0,10.0,513,47.0,scikit-learn cross validators for iterative stratification of multilabel data.,4.0,19,True,2018-08-12 18:28:50.000000,0.1.6,5.0,iterative-stratification,,,,['sklearn'],124.0,110.0,https://pypi.org/project/iterative-stratification,2018-08-12 18:28:50.000000,14.0,3113.0,3113.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n663,deeplift,kundajelab/deeplift,,interpretability,https://github.com/kundajelab/deeplift,https://github.com/kundajelab/deeplift,MIT,2016-06-01 02:18:06.000000,2020-11-11 19:56:24.000000,2020-11-11 19:56:23.000000,125,29.0,46.0,500,551.0,Public facing deeplift repo.,11.0,19,True,2018-07-13 21:11:52.000000,0.6.6,21.0,deeplift,,,,,48.0,44.0,https://pypi.org/project/deeplift,2020-11-11 09:32:57.000000,4.0,405.0,405.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n664,N2,kakao/n2,,nn-search,https://github.com/kakao/n2,https://github.com/kakao/n2,Apache-2.0,2017-11-23 02:27:59.000000,2020-10-21 05:15:27.000000,2020-10-21 05:14:11.000000,52,17.0,22.0,456,242.0,TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets.,17.0,19,True,2020-10-16 03:43:47.000000,0.1.7,9.0,n2,,,,,16.0,12.0,https://pypi.org/project/n2,2020-10-16 03:10:01.000000,4.0,352.0,352.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n665,Poutyne,GRAAL-Research/poutyne,,pytorch-utils,https://github.com/GRAAL-Research/poutyne,https://github.com/GRAAL-Research/poutyne,LGPL-3.0,2017-12-07 18:30:17.000000,2021-02-22 21:55:02.000000,2021-02-11 20:43:01.000000,49,7.0,35.0,453,522.0,A simplified framework and utilities for PyTorch.,15.0,19,False,2021-02-11 20:50:22.000000,1.3,19.0,poutyne,,,,['pytorch'],58.0,54.0,https://pypi.org/project/poutyne,2021-02-11 20:50:51.000000,4.0,313.0,313.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n666,Feature Engine,solegalli/feature_engine,,others,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2018-12-31 01:47:18.000000,2021-02-02 00:46:09.000000,2021-01-23 11:51:12.000000,131,26.0,74.0,452,104.0,Feature engineering package with sklearn like functionality.,20.0,19,True,2021-01-23 12:03:16.000000,1.0.2,25.0,feature_engine,conda-forge/feature_engine,,,,2.0,,https://pypi.org/project/feature_engine,2021-01-23 12:03:16.000000,2.0,8323.0,8598.0,https://anaconda.org/conda-forge/feature_engine,2021-01-25 12:36:37.909000,1654.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n667,What-If Tool,PAIR-code/what-if-tool,,interpretability,https://github.com/PAIR-code/what-if-tool,https://github.com/PAIR-code/what-if-tool,Apache-2.0,2018-09-07 20:26:10.000000,2021-01-19 14:40:37.214000,2021-01-19 14:26:52.000000,94,34.0,35.0,449,313.0,Source code/webpage/demos for the What-If Tool.,18.0,19,True,2021-01-19 14:40:37.214000,1.8.0,38.0,witwidget,,,,,0.0,,https://pypi.org/project/witwidget,2021-01-19 14:40:21.000000,0.0,3684.0,7020.0,,,,,,,,3.0,,,,wit-widget,https://www.npmjs.com/package/wit-widget,2021-01-19 14:40:37.214000,,3336.0,,,,,,,,,,,,,,\n668,pivottablejs,nicolaskruchten/jupyter_pivottablejs,,data-viz,https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,MIT,2015-09-09 13:39:18.000000,2018-12-04 14:43:26.000000,2018-12-04 14:43:25.000000,57,16.0,37.0,420,32.0,\"Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js.\",3.0,19,False,2018-01-15 18:14:37.000000,0.9.0,10.0,pivottablejs,,,,['jupyter'],179.0,145.0,https://pypi.org/project/pivottablejs,2018-01-15 18:14:37.000000,34.0,3977.0,3977.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n669,animatplot,t-makaro/animatplot,,data-viz,https://github.com/t-makaro/animatplot,https://github.com/t-makaro/animatplot,MIT,2017-04-03 00:54:04.000000,2020-10-06 02:02:00.460000,2020-10-05 06:14:18.000000,33,16.0,15.0,357,178.0,A python package for animating plots build on matplotlib.,7.0,19,True,2020-10-05 06:20:52.000000,0.4.2,10.0,animatplot,conda-forge/animatplot,,,,15.0,14.0,https://pypi.org/project/animatplot,2020-10-05 06:20:52.000000,1.0,65.0,283.0,https://anaconda.org/conda-forge/animatplot,2020-10-06 02:02:00.460000,5252.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n670,MXBoard,awslabs/mxboard,,ml-experiments,https://github.com/awslabs/mxboard,https://github.com/awslabs/mxboard,Apache-2.0,2018-02-06 23:03:51.000000,2020-01-24 23:21:56.000000,2020-01-24 23:21:55.000000,46,16.0,15.0,330,42.0,Logging MXNet data for visualization in TensorBoard.,9.0,19,False,2018-05-22 20:25:51.000000,0.1.0,12.0,mxboard,,,,['mxnet'],107.0,95.0,https://pypi.org/project/mxboard,2018-05-22 20:25:51.000000,12.0,2802.0,2802.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n671,PyKEEN,pykeen/pykeen,,graph,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000000,2021-02-25 11:13:03.000000,2021-02-25 10:06:26.000000,52,61.0,80.0,318,2305.0,A Python library for learning and evaluating knowledge graph embeddings.,17.0,19,True,2021-02-15 14:17:06.000000,1.3.0,35.0,pykeen,,,,,2.0,,https://pypi.org/project/pykeen,2021-02-15 14:13:30.000000,2.0,167.0,176.0,,,,,,,,3.0,79.0,,,,,,,,,,,,,,,,,,,,,\n672,AutoViz,AutoViML/AutoViz,,data-viz,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06.000000,2020-12-21 03:22:01.000000,2020-12-21 03:21:52.000000,55,6.0,16.0,306,97.0,\"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..\",10.0,19,True,2020-12-10 02:33:19.000000,0.0.81,26.0,autoviz,,,,,31.0,31.0,https://pypi.org/project/autoviz,2020-12-10 02:33:19.000000,,883.0,883.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n673,apricot,jmschrei/apricot,,others,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12.000000,2021-02-18 03:37:56.000000,2021-02-18 03:37:55.000000,29,3.0,12.0,306,167.0,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,2.0,19,True,2020-09-28 07:19:15.000000,0.6.0,13.0,apricot-select,,,,,14.0,14.0,https://pypi.org/project/apricot-select,2020-09-28 07:19:15.000000,0.0,225.0,225.0,,,,,,,,3.0,8.0,,,,,,,,,,,,,,,,,,,,,\n674,textpipe,textpipe/textpipe,,nlp,https://github.com/textpipe/textpipe,https://github.com/textpipe/textpipe,MIT,2018-06-21 16:23:32.000000,2021-02-22 08:07:04.000000,2021-01-25 14:01:56.000000,20,21.0,25.0,274,370.0,Textpipe: clean and extract metadata from text.,27.0,19,True,2021-01-25 14:05:21.000000,0.12.2,39.0,textpipe,,,,,8.0,7.0,https://pypi.org/project/textpipe,2021-01-25 14:05:21.000000,1.0,699.0,699.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n675,pandas-ml,pandas-ml/pandas-ml,,others,https://github.com/pandas-ml/pandas-ml,https://github.com/pandas-ml/pandas-ml,BSD-3-Clause,2015-02-21 03:14:04.000000,2020-08-14 12:29:33.000000,2019-03-05 01:36:55.000000,57,24.0,17.0,271,153.0,\"pandas, scikit-learn, xgboost and seaborn integration.\",4.0,19,False,2019-03-05 01:36:12.000000,0.6.1,9.0,pandas-ml,,,,\"['sklearn', 'pandas']\",10.0,,https://pypi.org/project/pandas-ml,2019-03-05 01:35:23.000000,10.0,1886.0,1886.0,,,,,,,,3.0,5.0,,2.0,,,,,,,,,,,,,,,,,,,\n676,scikit-tda,scikit-tda/scikit-tda,,sklearn-utils,https://github.com/scikit-tda/scikit-tda,https://github.com/scikit-tda/scikit-tda,MIT,2018-04-13 21:00:31.000000,2021-01-09 19:51:04.000000,2021-01-09 19:50:05.000000,32,11.0,4.0,266,56.0,Topological Data Analysis for Python.,2.0,19,True,2021-01-09 19:51:04.000000,0.1.0,3.0,scikit-tda,,,,['sklearn'],19.0,19.0,https://pypi.org/project/scikit-tda,2021-01-09 19:51:04.000000,,3360.0,3360.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n677,recmetrics,statisticianinstilettos/recmetrics,,recommender-systems,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49.000000,2020-12-03 21:21:02.000000,2020-12-03 21:21:00.000000,56,3.0,7.0,236,233.0,A library of metrics for evaluating recommender systems.,12.0,19,True,2019-03-05 04:11:15.000000,0.0.12,14.0,recmetrics,,,,,16.0,16.0,https://pypi.org/project/recmetrics,2019-03-05 04:11:15.000000,,663.0,663.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n678,Brainiak,brainiak/brainiak,,medical-data,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27.000000,2021-02-19 18:46:29.000000,2021-02-19 18:46:29.000000,106,63.0,119.0,231,390.0,Brain Imaging Analysis Kit.,32.0,19,True,2019-08-27 23:52:29.000000,0.9.1,15.0,brainiak,,brainiak/brainiak,,,13.0,12.0,https://pypi.org/project/brainiak,2020-10-15 20:45:08.000000,1.0,115.0,123.0,,,,https://hub.docker.com/r/brainiak/brainiak,2020-10-15 21:11:03.379549,1.0,494.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n679,pyfasttext,vrasneur/pyfasttext,,nlp,https://github.com/vrasneur/pyfasttext,https://github.com/vrasneur/pyfasttext,GPL-3.0,2017-06-30 18:44:42.000000,2018-12-08 15:32:09.000000,2018-12-08 15:02:12.000000,31,19.0,28.0,228,153.0,Yet another Python binding for fastText.,4.0,19,False,2018-12-08 15:32:09.000000,0.4.6,13.0,pyfasttext,,,,,155.0,142.0,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09.000000,13.0,1348.0,1355.0,,,,,,,,3.0,318.0,,,,,,,,,,,,,,,,,,,,,\n680,pymap3d,geospace-code/pymap3d,,geospatial-data,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03.000000,2021-02-07 08:49:00.919000,2021-02-07 06:25:44.000000,56,2.0,22.0,177,,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,8.0,19,True,2021-02-07 06:29:31.000000,2.5.0,46.0,pymap3d,conda-forge/pymap3d,,,,6.0,,https://pypi.org/project/pymap3d,2021-02-07 06:29:31.000000,6.0,13751.0,14361.0,https://anaconda.org/conda-forge/pymap3d,2021-02-07 08:49:00.919000,6713.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n681,gokart,m3dev/gokart,,ml-experiments,https://github.com/m3dev/gokart,https://github.com/m3dev/gokart,MIT,2018-12-23 07:40:27.000000,2021-02-20 05:47:51.000000,2021-02-16 05:33:50.000000,29,9.0,26.0,165,328.0,A wrapper of the data pipeline library luigi.,24.0,19,True,2021-01-29 04:20:56.000000,0.3.26,50.0,gokart,,,,,2.0,,https://pypi.org/project/gokart,2020-02-25 06:01:19.000000,2.0,437.0,437.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n682,Funsor,pyro-ppl/funsor,,probabilistics,https://github.com/pyro-ppl/funsor,https://github.com/pyro-ppl/funsor,Apache-2.0,2019-01-30 23:13:39.000000,2021-02-25 14:37:51.000000,2021-02-23 16:27:31.000000,15,70.0,65.0,162,495.0,Functional tensors for probabilistic programming.,9.0,19,True,2021-01-24 17:27:54.000000,0.4.0,6.0,funsor,,,,['pytorch'],10.0,10.0,https://pypi.org/project/funsor,2021-01-24 17:26:50.000000,0.0,244.0,244.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n683,Glow,projectglow/glow,,medical-data,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47.000000,2021-02-09 17:45:43.000000,2021-02-09 00:42:32.000000,40,17.0,54.0,159,315.0,An open-source toolkit for large-scale genomic analysis.,11.0,19,True,2021-02-09 17:45:43.000000,1.0.0,10.0,glow.py,,,,,,,https://pypi.org/project/glow.py,2021-02-08 22:11:48.000000,,2942.0,2942.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n684,vit-pytorch,lucidrains/vit-pytorch,,image,https://github.com/lucidrains/vit-pytorch,https://github.com/lucidrains/vit-pytorch,MIT,2020-10-03 22:47:24.000000,2021-02-24 20:24:36.000000,2021-02-24 20:23:39.000000,269,30.0,43.0,2722,,\"Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single..\",4.0,18,True,2021-02-24 20:24:36.000000,0.7.4,31.0,vit-pytorch,,,,['pytorch'],5.0,5.0,https://pypi.org/project/vit-pytorch,2021-02-24 20:24:36.000000,,792.0,792.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n685,BytePS,bytedance/byteps,,distributed-ml,https://github.com/bytedance/byteps,https://github.com/bytedance/byteps,Apache-2.0,2019-06-25 07:00:13.000000,2021-02-20 09:48:56.000000,2021-02-17 07:35:29.000000,369,76.0,140.0,2708,413.0,A high performance and generic framework for distributed DNN training.,18.0,18,True,2020-08-27 15:42:13.000000,0.2.4,7.0,byteps,,bytepsimage/tensorflow,,,,,https://pypi.org/project/byteps,2020-11-04 00:05:46.000000,,64.0,115.0,,,,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,1033.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n686,Crypto Signals,CryptoSignal/crypto-signal,,financial-data,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24.000000,2021-02-18 09:15:31.000000,2020-09-03 12:26:48.000000,725,40.0,191.0,2659,563.0,\"Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 2,100 + stars, 580 + forks.\",25.0,18,True,,,,,,shadowreaver/crypto-signal,,,,,,,,,1030.0,,,,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133,8.0,42257.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n687,spark-deep-learning,databricks/spark-deep-learning,,data-pipelines,https://github.com/databricks/spark-deep-learning,https://github.com/databricks/spark-deep-learning,Apache-2.0,2017-05-31 17:30:28.000000,2021-01-20 15:05:13.000000,2021-01-20 15:00:20.000000,447,74.0,26.0,1812,135.0,Deep Learning Pipelines for Apache Spark.,15.0,18,True,2020-01-08 19:50:31.000000,1.6.0,9.0,,,,,['spark'],16.0,16.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n688,Mara Pipelines,mara/mara-pipelines,,data-pipelines,https://github.com/mara/mara-pipelines,https://github.com/mara/mara-pipelines,MIT,2018-03-31 20:37:22.000000,2021-01-23 23:22:28.000000,2021-01-23 23:22:27.000000,80,11.0,12.0,1628,131.0,\"A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow.\",16.0,18,True,2021-01-23 22:34:03.000000,3.1.2,7.0,mara-pipelines,,,,,7.0,7.0,https://pypi.org/project/mara-pipelines,2021-01-23 22:34:03.000000,,34.0,34.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n689,riko,nerevu/riko,,data-pipelines,https://github.com/nerevu/riko,https://github.com/nerevu/riko,MIT,2016-06-02 12:22:51.000000,2020-08-14 18:29:28.000000,2020-08-14 16:47:45.000000,72,22.0,8.0,1555,1257.0,A Python stream processing engine modeled after Yahoo! Pipes.,18.0,18,True,2020-08-14 18:29:28.000000,0.66.0,58.0,riko,,,,,1.0,,https://pypi.org/project/riko,2020-08-14 18:29:28.000000,1.0,196.0,196.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n690,Antialiased CNNs,adobe/antialiased-cnns,,pytorch-utils,https://github.com/adobe/antialiased-cnns,https://github.com/adobe/antialiased-cnns,CC BY-NC-SA 4.0,2019-05-14 20:51:25.000000,2020-10-23 22:45:52.000000,2020-10-22 19:40:07.000000,176,9.0,29.0,1351,238.0,pip install antialiased-cnns to improve stability and accuracy.,6.0,18,False,2020-10-23 22:45:52.000000,0.3,6.0,antialiased-cnns,,,,['pytorch'],,,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49.000000,,1142.0,1142.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n691,TaskTiger,closeio/tasktiger,,data-pipelines,https://github.com/closeio/tasktiger,https://github.com/closeio/tasktiger,MIT,2015-05-14 00:26:32.000000,2021-02-24 17:55:46.000000,2021-02-17 17:06:00.000000,58,30.0,31.0,1049,252.0,Python task queue using Redis.,19.0,18,True,2019-10-29 19:32:58.000000,0.10.1,22.0,tasktiger,,,,,38.0,20.0,https://pypi.org/project/tasktiger,2020-06-18 22:08:56.000000,18.0,93.0,93.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n692,Paddle Graph Learning,PaddlePaddle/PGL,,graph,https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28.000000,2021-02-24 11:12:56.000000,2021-02-02 13:13:43.000000,121,17.0,29.0,910,,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,19.0,18,True,2021-02-02 13:17:55.000000,2.1.1,8.0,pgl,,,,['paddle'],11.0,9.0,https://pypi.org/project/pgl,2021-02-05 11:50:46.000000,2.0,195.0,195.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n693,Norfair,tryolabs/norfair,,image,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000000,2021-02-18 17:02:36.000000,2021-02-18 17:02:20.000000,57,5.0,16.0,905,259.0,Lightweight Python library for adding real-time 2D object tracking to any detector.,7.0,18,True,2021-02-17 21:29:11.000000,0.2.0,10.0,norfair,,,,,,,https://pypi.org/project/norfair,2021-02-17 21:29:11.000000,,368.0,368.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n694,Databolt Flow,d6t/d6tflow,,data-pipelines,https://github.com/d6t/d6tflow,https://github.com/d6t/d6tflow,MIT,2019-02-03 01:51:22.000000,2021-01-01 18:15:45.000000,2020-12-19 21:46:11.000000,65,8.0,11.0,896,106.0,Python library for building highly effective data science workflows.,10.0,18,True,2020-12-19 22:37:20.000000,0.2.2,19.0,d6tflow,,,,,12.0,12.0,https://pypi.org/project/d6tflow,2020-12-19 22:37:20.000000,,50.0,50.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n695,Fiber,uber/fiber,,distributed-ml,https://github.com/uber/fiber,https://github.com/uber/fiber,Apache-2.0,2020-01-07 18:16:24.000000,2021-02-24 07:17:45.000000,2021-02-24 06:58:46.000000,92,12.0,7.0,852,61.0,Distributed Computing for AI Made Simple.,5.0,18,True,2020-07-09 03:28:28.000000,0.2.1,6.0,fiber,,,,,22.0,21.0,https://pypi.org/project/fiber,2020-07-09 03:28:28.000000,1.0,715.0,715.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n696,DALEX,ModelOriented/DALEX,,interpretability,https://github.com/ModelOriented/DALEX,https://github.com/ModelOriented/DALEX,GPL-3.0,2018-02-18 03:24:12.000000,2021-02-22 10:00:16.000000,2021-02-20 00:30:26.000000,110,12.0,251.0,781,534.0,moDel Agnostic Language for Exploration and eXplanation.,17.0,18,False,2021-02-19 15:24:01.000000,1.0.1,19.0,dalex,,,,,7.0,7.0,https://pypi.org/project/dalex,2021-02-19 15:24:01.000000,,805.0,805.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n697,TensorFrames,databricks/tensorframes,,distributed-ml,https://github.com/databricks/tensorframes,https://github.com/databricks/tensorframes,Apache-2.0,2016-03-04 19:25:19.000000,2020-11-13 17:47:02.000000,2019-11-15 21:43:53.000000,158,51.0,43.0,768,221.0,[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark.,16.0,18,False,2018-11-16 20:50:02.000000,0.6.0,6.0,tensorframes,,,,\"['tensorflow', 'spark']\",1.0,,https://pypi.org/project/tensorframes,2018-05-16 14:20:28.000000,1.0,2951.0,2951.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n698,tffm,geffy/tffm,,tensorflow-utils,https://github.com/geffy/tffm,https://github.com/geffy/tffm,MIT,2016-05-02 17:06:07.000000,2020-05-22 21:40:58.000000,2020-05-22 21:40:57.000000,174,17.0,20.0,757,106.0,TensorFlow implementation of an arbitrary order Factorization Machine.,10.0,18,True,2018-01-27 11:43:26.000000,1.0.1,2.0,tffm,,,,['tensorflow'],11.0,10.0,https://pypi.org/project/tffm,2018-01-27 11:43:26.000000,1.0,936.0,936.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n699,pytorch2keras,nerox8664/pytorch2keras,,model-serialisation,https://github.com/nerox8664/pytorch2keras,https://github.com/nerox8664/pytorch2keras,MIT,2017-11-16 20:21:43.000000,2020-05-14 10:03:56.000000,2020-05-14 10:03:04.000000,112,41.0,66.0,666,277.0,PyTorch to Keras model convertor.,11.0,18,True,2020-05-14 10:03:56.000000,0.2.4,23.0,pytorch2keras,,,,,20.0,19.0,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56.000000,1.0,365.0,365.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n700,vecstack,vecxoz/vecstack,,others,https://github.com/vecxoz/vecstack,https://github.com/vecxoz/vecstack,MIT,2016-11-08 13:23:21.000000,2020-09-14 08:31:07.000000,2019-10-30 09:27:48.000000,66,1.0,34.0,582,189.0,Python package for stacking (machine learning technique).,1.0,18,False,2019-08-12 16:09:01.000000,0.4.0,6.0,vecstack,,,,,119.0,111.0,https://pypi.org/project/vecstack,2019-08-12 16:01:22.000000,8.0,887.0,887.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n701,pyhsmm,mattjj/pyhsmm,,probabilistics,https://github.com/mattjj/pyhsmm,https://github.com/mattjj/pyhsmm,MIT,2012-03-18 17:40:13.000000,2020-09-29 20:58:26.000000,2020-08-24 17:03:59.000000,148,34.0,60.0,484,1426.0,Bayesian inference in HSMMs and HMMs.,13.0,18,True,2017-05-10 17:14:37.000000,0.1.7,8.0,pyhsmm,,,,,25.0,17.0,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37.000000,8.0,55.0,55.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n702,robustness,MadryLab/robustness,,adversarial,https://github.com/MadryLab/robustness,https://github.com/MadryLab/robustness,MIT,2019-08-21 09:26:33.000000,2021-02-22 01:25:25.000000,2020-12-01 05:49:45.000000,86,5.0,49.0,483,137.0,\"A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.\",11.0,18,True,2020-12-01 06:11:12.000000,1.2.1.post2,10.0,robustness,,,,,39.0,37.0,https://pypi.org/project/robustness,2020-12-01 06:21:33.000000,2.0,266.0,266.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n703,TF Compression,tensorflow/compression,,tensorflow-utils,https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19.000000,2021-02-22 18:06:35.000000,2021-02-21 23:13:18.000000,156,1.0,57.0,444,149.0,Data compression in TensorFlow.,9.0,18,True,2021-01-06 01:50:06.000000,2.0b2,8.0,tensorflow-compression,,,,['tensorflow'],1.0,,https://pypi.org/project/tensorflow-compression,2021-01-06 01:36:13.000000,1.0,280.0,280.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n704,tcav,tensorflow/tcav,,interpretability,https://github.com/tensorflow/tcav,https://github.com/tensorflow/tcav,Apache-2.0,2018-07-03 17:45:35.000000,2021-02-23 16:17:42.000000,2021-02-23 16:16:33.000000,101,2.0,40.0,437,156.0,Code for the TCAV ML interpretability project.,17.0,18,True,2021-02-23 16:17:42.000000,0.2.2,4.0,tcav,,,,['tensorflow'],8.0,6.0,https://pypi.org/project/tcav,2021-02-23 16:17:42.000000,2.0,59.0,59.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n705,PyWaffle,gyli/PyWaffle,,data-viz,https://github.com/gyli/PyWaffle,https://github.com/gyli/PyWaffle,MIT,2017-11-14 20:03:47.000000,2020-07-26 23:22:17.000000,2020-07-26 23:22:13.000000,63,2.0,10.0,401,249.0,Make Waffle Charts in Python.,6.0,18,True,2020-07-26 19:16:45.000000,0.6.1,22.0,pywaffle,,,,,41.0,41.0,https://pypi.org/project/pywaffle,2020-07-26 19:16:45.000000,,733.0,733.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n706,Orbit,uber/orbit,,probabilistics,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000000,2021-02-24 22:09:58.000000,2021-02-24 22:09:58.000000,22,19.0,161.0,331,586.0,Bayesian forecasting with object-oriented design and probabilistic models under the hood.,7.0,18,True,2021-02-19 16:42:02.000000,1.0.12,11.0,orbit-ml,,,,,4.0,4.0,https://pypi.org/project/orbit-ml,2021-02-19 16:42:02.000000,,92.0,92.0,,,,,,,,3.0,,,2.0,,,,,,,,,,,,,,,,,,,\n707,Camphr,PKSHATechnology-Research/camphr,,nlp,https://github.com/PKSHATechnology-Research/camphr,https://github.com/PKSHATechnology-Research/camphr,Apache-2.0,2020-02-10 03:39:58.000000,2021-02-25 09:05:24.000000,2021-02-22 08:55:42.000000,17,12.0,16.0,327,1198.0,\"spaCy plugin for Transformers , Udify, ELmo, etc.\",7.0,18,True,2021-02-18 07:39:01.000000,0.8.3,41.0,camphr,,,,['spacy'],0.0,,https://pypi.org/project/camphr,2021-02-18 07:39:01.000000,0.0,310.0,310.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n708,sk-dist,Ibotta/sk-dist,,distributed-ml,https://github.com/Ibotta/sk-dist,https://github.com/Ibotta/sk-dist,Apache-2.0,2019-08-14 21:07:17.000000,2021-01-07 17:01:27.000000,2021-01-07 17:01:23.000000,44,7.0,9.0,257,46.0,Distributed scikit-learn meta-estimators in PySpark.,6.0,18,True,2020-05-14 22:20:14.000000,0.1.9,12.0,sk-dist,,,,\"['sklearn', 'spark']\",8.0,6.0,https://pypi.org/project/sk-dist,2020-05-14 22:20:14.000000,2.0,2913.0,2913.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n709,DeepGraph,deepgraph/deepgraph,,graph,https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45.000000,2021-01-15 08:36:25.609000,2020-10-01 13:17:00.000000,33,7.0,5.0,228,160.0,Analyze Data with Pandas-based Networks. Documentation:.,2.0,18,True,2020-10-01 13:20:38.000000,0.2.3,13.0,deepgraph,conda-forge/deepgraph,,,['pandas'],1.0,1.0,https://pypi.org/project/deepgraph,2020-10-01 13:18:38.000000,,145.0,2076.0,https://anaconda.org/conda-forge/deepgraph,2021-01-15 08:36:25.609000,81130.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n710,somoclu,peterwittek/somoclu,,distributed-ml,https://github.com/peterwittek/somoclu,https://github.com/peterwittek/somoclu,MIT,2013-01-16 06:33:16.000000,2020-10-13 18:39:07.609000,2020-07-24 13:00:47.000000,55,26.0,103.0,224,590.0,\"Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters.\",17.0,18,True,2018-03-03 02:44:37.000000,1.7.5,17.0,somoclu,conda-forge/somoclu,,,,4.0,,https://pypi.org/project/somoclu,2020-04-25 05:33:32.000000,4.0,439.0,1447.0,https://anaconda.org/conda-forge/somoclu,2020-10-13 18:39:07.609000,41565.0,,,,,3.0,1448.0,,,,,,,,,,,,,,,,,,,,,\n711,ivis,beringresearch/ivis,,data-viz,https://github.com/beringresearch/ivis,https://github.com/beringresearch/ivis,GPL-2.0,2018-08-13 08:31:01.000000,2021-01-20 11:32:35.000000,2021-01-20 11:32:25.000000,20,4.0,41.0,221,517.0,Dimensionality reduction in very large datasets using Siamese Networks.,7.0,18,False,2021-01-06 17:09:59.000000,2.0.1,27.0,ivis,,,,['tensorflow'],14.0,14.0,https://pypi.org/project/ivis,2021-01-06 17:07:15.000000,0.0,309.0,309.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n712,FiftyOne,voxel51/fiftyone,,data-viz,https://github.com/voxel51/fiftyone,https://github.com/voxel51/fiftyone,Apache-2.0,2020-04-22 13:43:28.000000,2021-02-25 00:39:55.000000,2021-02-24 06:24:20.000000,18,128.0,218.0,213,5467.0,\"Visualize, create, and debug image and video datasets and model predictions.\",10.0,18,True,2021-02-18 14:35:21.000000,0.7.3,43.0,fiftyone,,,,\"['tensorflow', 'pytorch', 'jupyter']\",,,https://pypi.org/project/fiftyone,2021-02-18 17:58:21.000000,,346.0,346.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n713,skift,shaypal5/skift,,nlp,https://github.com/shaypal5/skift,https://github.com/shaypal5/skift,MIT,2018-02-03 11:37:21.000000,2021-01-19 11:35:21.000000,2021-01-19 11:35:09.000000,22,2.0,8.0,211,127.0,scikit-learn wrappers for Python fastText.,6.0,18,True,2020-08-27 15:01:05.000000,0.0.19,15.0,skift,,,,['sklearn'],8.0,8.0,https://pypi.org/project/skift,2020-08-27 15:01:05.000000,,2292.0,2292.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n714,fairness-indicators,tensorflow/fairness-indicators,,interpretability,https://github.com/tensorflow/fairness-indicators,https://github.com/tensorflow/fairness-indicators,Apache-2.0,2019-09-30 22:56:45.000000,2021-02-25 08:16:43.000000,2021-02-23 12:50:43.000000,53,15.0,5.0,183,245.0,Tensorflow's Fairness Evaluation and Visualization Toolkit.,19.0,18,True,2021-01-28 22:09:49.000000,0.27.0,13.0,fairness-indicators,,,,\"['tensorflow', 'jupyter']\",,,https://pypi.org/project/fairness-indicators,2021-01-28 22:09:49.000000,,267.0,267.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n715,Auto TS,AutoViML/Auto_TS,,time-series-data,https://github.com/AutoViML/Auto_TS,https://github.com/AutoViML/Auto_TS,Apache-2.0,2020-02-15 15:23:32.000000,2021-01-24 03:19:22.000000,2021-01-24 03:17:19.000000,35,8.0,23.0,178,230.0,\"Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of..\",5.0,18,True,2021-01-24 03:19:22.000000,0.0.35,14.0,auto-ts,,,,,,,https://pypi.org/project/auto-ts,2021-01-24 03:19:22.000000,,219.0,219.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n716,flupy,olirice/flupy,,data-pipelines,https://github.com/olirice/flupy,https://github.com/olirice/flupy,MIT,2018-01-06 16:46:04.000000,2021-01-06 12:37:41.000000,2021-01-06 12:37:33.000000,9,,7.0,153,176.0,Fluent data pipelines for python and your shell.,4.0,18,True,2021-01-06 12:37:15.000000,1.1.6,34.0,flupy,,,,,0.0,,https://pypi.org/project/flupy,2021-01-06 12:37:15.000000,0.0,3387.0,3387.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n717,nvidia-ml-py3,nicolargo/nvidia-ml-py3,,gpu-utilities,https://github.com/nicolargo/nvidia-ml-py3,https://github.com/nicolargo/nvidia-ml-py3,BSD-3-Clause,2017-06-03 07:47:03.000000,2019-03-06 20:41:10.000000,2019-03-06 20:41:09.000000,14,2.0,,64,5.0,Python 3 Bindings for the NVIDIA Management Library.,2.0,18,False,2017-06-03 07:43:46.000000,7.352.0,1.0,nvidia-ml-py3,,,,,2911.0,2691.0,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46.000000,220.0,273449.0,273449.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n718,DeepMind Lab,deepmind/lab,,reinforcement-learning,https://github.com/deepmind/lab,https://github.com/deepmind/lab,GPL-2.0,2016-11-30 13:41:26.000000,2021-01-29 16:39:16.000000,2021-01-24 11:42:21.000000,1286,37.0,153.0,6407,477.0,A customisable 3D platform for agent-based AI research.,7.0,17,False,2020-12-07 11:26:33.000000,release-2020-12-07,8.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n719,ReAgent,facebookresearch/ReAgent,,reinforcement-learning,https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000000,2021-02-24 22:20:05.000000,2021-02-24 04:05:48.000000,383,20.0,74.0,2816,1097.0,\"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).\",86.0,17,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n720,Spotlight,maciejkula/spotlight,,recommender-systems,https://github.com/maciejkula/spotlight,https://github.com/maciejkula/spotlight,MIT,2017-06-25 18:52:19.000000,2020-11-15 08:21:28.000000,2020-02-09 21:03:48.000000,372,67.0,48.0,2417,299.0,Deep recommender models using PyTorch.,11.0,17,True,2019-09-08 10:19:53.000000,0.1.6,7.0,,maciejkula/spotlight,,,['pytorch'],,,,,,,136.0,https://anaconda.org/maciejkula/spotlight,2018-05-27 18:32:12.235000,5999.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n721,LIT,PAIR-code/lit,,interpretability,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000000,2021-02-25 14:19:36.000000,2020-11-17 00:43:10.000000,242,38.0,33.0,2383,,The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and..,10.0,17,True,2020-11-17 00:53:31.000000,0.2,4.0,lit-nlp,,,,,1.0,1.0,https://pypi.org/project/lit-nlp,2020-11-17 00:52:37.000000,,301.0,301.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n722,PaddleDetection,PaddlePaddle/PaddleDetection,,image,https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000000,2021-02-25 08:42:16.000000,2021-02-25 08:42:16.000000,655,343.0,878.0,2299,746.0,Object detection and instance segmentation toolkit based on PaddlePaddle.,48.0,17,True,2019-11-27 05:15:38.000000,0.1.0,1.0,,,,,['paddle'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n723,NeuroNER,Franck-Dernoncourt/NeuroNER,,nlp,https://github.com/Franck-Dernoncourt/NeuroNER,https://github.com/Franck-Dernoncourt/NeuroNER,MIT,2017-03-07 01:24:15.000000,2020-11-13 18:07:48.000000,2019-10-02 23:26:11.000000,440,79.0,67.0,1537,132.0,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,7.0,17,False,2019-10-02 23:30:15.000000,1.0.8,7.0,pyneuroner,,,,,8.0,8.0,https://pypi.org/project/pyneuroner,2019-10-02 23:30:15.000000,,77.0,77.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n724,BlazingSQL,BlazingDB/blazingsql,,gpu-utilities,https://github.com/BlazingDB/blazingsql,https://github.com/BlazingDB/blazingsql,Apache-2.0,2018-09-24 18:25:45.000000,2021-02-25 04:19:02.000000,2021-02-24 14:43:55.000000,132,247.0,349.0,1423,,\"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.\",40.0,17,True,2020-12-14 17:43:48.000000,0.17.0,15.0,,blazingsql/blazingsql-protocol,,,,,,,,,,53.0,https://anaconda.org/blazingsql/blazingsql-protocol,2019-11-11 19:54:17.621000,916.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n725,River,online-ml/river,,others,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000000,2021-02-24 19:54:16.000000,2021-02-24 19:51:34.000000,182,40.0,253.0,1411,3002.0,Online machine learning in Python.,59.0,17,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n726,Advisor,tobegit3hub/advisor,,hyperopt,https://github.com/tobegit3hub/advisor,https://github.com/tobegit3hub/advisor,Apache-2.0,2017-09-14 03:50:33.000000,2019-11-11 07:09:57.869705,2019-11-11 06:59:31.000000,240,19.0,13.0,1348,165.0,Open-source implementation of Google Vizier for hyper parameters tuning.,11.0,17,False,2018-10-18 02:54:09.000000,0.1.6,4.0,advisor,,tobegit3hub/advisor,,,,,https://pypi.org/project/advisor,2018-10-18 02:54:09.000000,,25.0,62.0,,,,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1557.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n727,Botflow,kkyon/botflow,,data-pipelines,https://github.com/kkyon/botflow,https://github.com/kkyon/botflow,BSD-3-Clause,2018-08-20 03:13:31.000000,2020-12-31 09:03:22.000000,2019-05-23 14:40:50.000000,98,2.0,2.0,1159,192.0,\"Python Fast Dataflow programming framework for Data pipeline work( Web Crawler,Machine Learning,Quantitative..\",11.0,17,False,2018-09-14 14:38:32.000000,0.2.0,5.0,botflow,,,,,1.0,1.0,https://pypi.org/project/botflow,2018-09-14 14:38:32.000000,,27.0,27.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n728,Backtesting.py,kernc/backtesting.py,,financial-data,https://github.com/kernc/backtesting.py,https://github.com/kernc/backtesting.py,AGPL-3.0,2019-01-02 03:11:32.000000,2021-02-10 02:19:32.000000,2021-02-10 02:19:13.000000,252,21.0,175.0,1042,219.0,Backtest trading strategies in Python.,8.0,17,False,2017-07-22 02:00:06.000000,0.0.1,1.0,backtesting,,,,,,,https://pypi.org/project/backtesting,2017-07-22 02:00:06.000000,,2227.0,2227.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n729,sklearn-porter,nok/sklearn-porter,,model-serialisation,https://github.com/nok/sklearn-porter,https://github.com/nok/sklearn-porter,MIT,2016-06-22 22:21:34.000000,2021-02-24 01:39:24.000000,2019-12-18 13:31:50.000000,126,39.0,29.0,999,699.0,\"Transpile trained scikit-learn estimators to C, Java, JavaScript and others.\",11.0,17,False,2019-12-18 13:39:19.000000,0.7.4,20.0,sklearn-porter,,,,['sklearn'],1.0,,https://pypi.org/project/sklearn-porter,2019-12-18 13:39:19.000000,1.0,249.0,249.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n730,Bounter,RaRe-Technologies/bounter,,data-containers,https://github.com/RaRe-Technologies/bounter,https://github.com/RaRe-Technologies/bounter,MIT,2017-07-18 07:24:15.000000,2020-08-17 06:37:51.000000,2020-08-16 11:55:16.000000,48,11.0,9.0,896,152.0,Efficient Counter that uses a limited (bounded) amount of memory regardless of data size.,8.0,17,True,2020-08-17 06:37:51.000000,1.1.1,7.0,bounter,,,,,34.0,20.0,https://pypi.org/project/bounter,2020-08-17 06:37:51.000000,14.0,128.0,128.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n731,advertorch,BorealisAI/advertorch,,adversarial,https://github.com/BorealisAI/advertorch,https://github.com/BorealisAI/advertorch,GPL-3.0,2018-11-29 22:17:33.000000,2020-09-25 15:01:47.000000,2020-06-15 01:16:18.000000,129,13.0,28.0,816,270.0,A Toolbox for Adversarial Robustness Research.,16.0,17,False,2020-06-15 01:20:07.000000,0.2.3,10.0,advertorch,,,,['pytorch'],33.0,30.0,https://pypi.org/project/advertorch,2020-06-15 01:20:07.000000,3.0,438.0,438.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n732,Saliency,PAIR-code/saliency,,tensorflow-utils,https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35.000000,2021-02-24 21:05:58.000000,2020-10-01 22:54:59.000000,137,11.0,10.0,638,64.0,\"TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques.\",12.0,17,True,2019-09-26 17:59:23.000000,0.0.5,5.0,saliency,,,,['tensorflow'],15.0,13.0,https://pypi.org/project/saliency,2019-09-26 17:59:23.000000,2.0,61.0,61.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n733,sklearn-deap,rsteca/sklearn-deap,,hyperopt,https://github.com/rsteca/sklearn-deap,https://github.com/rsteca/sklearn-deap,MIT,2015-10-28 22:52:34.000000,2019-12-03 13:29:06.000000,2019-12-03 13:29:04.000000,107,21.0,31.0,628,98.0,Use evolutionary algorithms instead of gridsearch in scikit-learn.,20.0,17,False,2019-07-15 09:24:09.000000,0.2.4,13.0,sklearn-deap,,,,['sklearn'],26.0,24.0,https://pypi.org/project/sklearn-deap,2019-07-15 09:24:09.000000,2.0,235.0,235.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n734,ADTK,arundo/adtk,,time-series-data,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22.000000,2020-04-29 19:54:40.000000,2020-04-17 02:27:44.000000,77,22.0,30.0,602,78.0,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,11.0,17,True,2020-04-17 02:18:00.000000,0.6.2,13.0,adtk,,,,,,,https://pypi.org/project/adtk,2020-04-17 02:18:00.000000,,26443.0,26443.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n735,RLax,deepmind/rlax,,reinforcement-learning,https://github.com/deepmind/rlax,https://github.com/deepmind/rlax,Apache-2.0,2020-02-18 07:14:59.000000,2021-02-18 21:38:51.000000,2021-02-18 21:38:33.000000,43,3.0,4.0,561,104.0,A library of reinforcement learning building blocks in JAX.,10.0,17,True,2020-02-19 23:01:30.000000,0.1.0,3.0,rlax,,,,['jax'],11.0,11.0,https://pypi.org/project/rlax,2020-02-19 23:01:30.000000,,133.0,133.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n736,Dragonfly,dragonfly/dragonfly,,hyperopt,https://github.com/dragonfly/dragonfly,https://github.com/dragonfly/dragonfly,MIT,2018-04-20 22:19:50.000000,2020-07-26 17:44:31.000000,2020-07-03 18:01:17.000000,73,21.0,17.0,560,397.0,An open source python library for scalable Bayesian optimisation.,12.0,17,True,2020-07-03 18:05:12.000000,0.1.6,9.0,dragonfly-opt,,,,,2.0,,https://pypi.org/project/dragonfly-opt,2020-07-03 18:05:12.000000,2.0,5774.0,5774.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n737,Tensor Sensor,parrt/tensor-sensor,,pytorch-utils,https://github.com/parrt/tensor-sensor,https://github.com/parrt/tensor-sensor,MIT,2020-08-28 22:54:04.000000,2021-01-07 00:40:37.000000,2021-01-07 00:40:31.000000,24,4.0,12.0,528,155.0,The goal of this library is to generate more helpful exception messages for numpy/pytorch matrix algebra expressions.,2.0,17,True,2020-12-03 20:46:15.000000,0.1.1,34.0,tensor-sensor,,,,['pytorch'],2.0,2.0,https://pypi.org/project/tensor-sensor,2020-12-03 20:45:09.000000,,174.0,174.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n738,Performer Pytorch,lucidrains/performer-pytorch,,pytorch-utils,https://github.com/lucidrains/performer-pytorch,https://github.com/lucidrains/performer-pytorch,MIT,2020-10-03 03:41:36.000000,2021-02-23 21:47:08.000000,2021-01-17 01:22:36.000000,68,19.0,33.0,519,,\"An implementation of Performer, a linear attention-based transformer, in Pytorch.\",4.0,17,True,2021-01-17 01:23:12.000000,0.15.0,61.0,performer-pytorch,,,,['pytorch'],10.0,10.0,https://pypi.org/project/performer-pytorch,2021-01-17 01:23:12.000000,,765.0,765.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n739,atspy,firmai/atspy,,time-series-data,https://github.com/firmai/atspy,https://github.com/firmai/atspy,MIT,2020-01-28 05:00:10.000000,2020-12-01 13:53:03.000000,2020-11-12 16:15:26.000000,64,17.0,2.0,337,97.0,AtsPy: Automated Time Series Models in Python (by @firmai).,5.0,17,True,2020-11-12 16:10:48.000000,zen,39.0,atspy,,,,,3.0,3.0,https://pypi.org/project/atspy,2020-04-24 18:16:15.000000,,299.0,299.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n740,Vulkan Kompute,EthicalML/vulkan-kompute,,gpu-utilities,https://github.com/EthicalML/vulkan-kompute,https://github.com/EthicalML/vulkan-kompute,Apache-2.0,2020-07-29 05:23:33.000000,2021-02-25 06:16:38.000000,2021-02-21 12:28:24.000000,24,47.0,68.0,331,679.0,\"General purpose GPU compute framework for cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast,..\",9.0,17,True,2021-01-31 12:01:30.000000,0.6.0,10.0,kp,,,,,2.0,2.0,https://pypi.org/project/kp,2021-01-31 12:02:25.000000,,73.0,79.0,,,,,,,,3.0,36.0,,,,,,,,,,,,,,,,,,,,,\n741,tick,X-DataInitiative/tick,,time-series-data,https://github.com/X-DataInitiative/tick,https://github.com/X-DataInitiative/tick,BSD-3-Clause,2016-12-01 10:59:08.000000,2020-08-11 12:36:43.000000,2020-06-15 12:01:36.000000,74,55.0,159.0,325,413.0,\"Module for statistical learning, with a particular emphasis on time-dependent modelling.\",16.0,17,True,2019-09-11 11:25:15.000000,0.6,23.0,tick,,,,,31.0,30.0,https://pypi.org/project/tick,2020-05-24 22:01:17.000000,1.0,355.0,358.0,,,,,,,,3.0,155.0,,,,,,,,,,,,,,,,,,,,,\n742,Baal,ElementAI/baal,,probabilistics,https://github.com/ElementAI/baal,https://github.com/ElementAI/baal,Apache-2.0,2019-09-30 20:16:26.000000,2021-02-18 00:56:59.000000,2021-02-11 22:55:02.000000,29,12.0,27.0,322,99.0,Using approximate bayesian posteriors in deep nets for active learning.,8.0,17,True,2020-11-03 21:14:13.000000,1.2.1,7.0,baal,,,,,7.0,7.0,https://pypi.org/project/baal,2020-11-03 21:07:08.000000,,101.0,101.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n743,Sherpa,sherpa-ai/sherpa,,hyperopt,https://github.com/sherpa-ai/sherpa,https://github.com/sherpa-ai/sherpa,GPL-3.0,2018-05-16 21:41:54.000000,2020-10-18 07:57:50.000000,2020-10-18 07:57:48.000000,44,11.0,41.0,284,823.0,\"Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.\",43.0,17,False,2020-07-31 05:29:09.000000,1.0.7,8.0,parameter-sherpa,,,,,9.0,7.0,https://pypi.org/project/parameter-sherpa,2019-11-23 21:32:27.000000,2.0,198.0,198.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n744,ExplainX.ai,explainX/explainx,,interpretability,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15.000000,2021-02-07 11:06:21.000000,2021-02-02 09:03:57.000000,29,10.0,14.0,182,184.0,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,4.0,17,True,2021-02-07 11:06:21.000000,2.407,56.0,explainx,,,,,,,https://pypi.org/project/explainx,2021-02-04 16:44:24.000000,,287.0,287.0,,,,,,,,3.0,1.0,,,,,,,,,,,,,,,,,,,,,\n745,elegy,poets-ai/elegy,,ml-frameworks,https://github.com/poets-ai/elegy,https://github.com/poets-ai/elegy,Apache-2.0,2020-06-30 14:00:37.000000,2021-02-24 02:37:06.000000,2021-02-24 02:37:05.000000,11,20.0,36.0,177,290.0,Elegy is a framework-agnostic Trainer interface for the Jax ecosystem.,13.0,17,True,2021-02-22 20:03:09.000000,0.7.0,19.0,elegy,,,,\"['tensorflow', 'jax']\",,,https://pypi.org/project/elegy,2021-02-14 21:43:23.000000,,214.0,214.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n746,imodels,csinva/imodels,,interpretability,https://github.com/csinva/imodels,https://github.com/csinva/imodels,MIT,2019-07-04 15:38:48.000000,2021-02-22 09:18:29.000000,2021-02-22 09:18:22.000000,16,1.0,8.0,176,230.0,\"Interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible).\",3.0,17,True,2021-02-17 20:20:37.000000,0.2.7,7.0,imodels,,,,,6.0,6.0,https://pypi.org/project/imodels,2021-02-17 20:19:07.000000,,57.0,57.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n747,skggm,skggm/skggm,,sklearn-utils,https://github.com/skggm/skggm,https://github.com/skggm/skggm,MIT,2016-06-11 18:35:56.000000,2020-12-24 08:36:00.000000,2020-12-24 05:43:15.000000,31,28.0,47.0,176,691.0,Scikit-learn compatible estimation of general graphical models.,5.0,17,True,2018-09-12 01:12:49.000000,0.2.8,6.0,skggm,,,,['sklearn'],8.0,6.0,https://pypi.org/project/skggm,2018-09-12 01:12:49.000000,2.0,93.0,93.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n748,Muda,bmcfee/muda,,audio,https://github.com/bmcfee/muda,https://github.com/bmcfee/muda,ISC,2014-11-07 21:21:22.000000,2020-09-01 19:21:10.000000,2020-07-20 20:00:17.000000,31,5.0,44.0,175,291.0,A library for augmenting annotated audio data.,6.0,17,True,2019-11-15 15:46:21.000000,0.4.1,11.0,muda,,,,,10.0,9.0,https://pypi.org/project/muda,2019-11-15 15:46:21.000000,1.0,61.0,61.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n749,model-card-toolkit,tensorflow/model-card-toolkit,,interpretability,https://github.com/tensorflow/model-card-toolkit,https://github.com/tensorflow/model-card-toolkit,Apache-2.0,2020-07-24 16:48:58.000000,2021-02-23 03:28:56.000000,2021-02-11 00:48:11.000000,24,9.0,2.0,163,106.0,a tool that leverages rich metadata and lineage information in MLMD to build a model card.,8.0,17,True,2021-02-05 20:56:01.000000,0.1.3,4.0,model-card-toolkit,,,,,1.0,1.0,https://pypi.org/project/model-card-toolkit,2021-02-05 20:54:29.000000,,178.0,178.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n750,BatchFlow,analysiscenter/batchflow,,data-pipelines,https://github.com/analysiscenter/batchflow,https://github.com/analysiscenter/batchflow,Apache-2.0,2017-03-13 14:22:53.000000,2021-02-24 14:26:07.000000,2021-02-19 14:39:06.000000,35,52.0,56.0,154,4410.0,BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and..,29.0,17,True,2019-08-23 12:21:50.000000,0.3.0,3.0,batchflow,,,,,,,https://pypi.org/project/batchflow,2019-08-23 12:21:50.000000,,8.0,8.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n751,Larq Compute Engine,larq/compute-engine,,model-serialisation,https://github.com/larq/compute-engine,https://github.com/larq/compute-engine,Apache-2.0,2019-08-29 15:02:43.000000,2021-02-24 13:27:29.000000,2021-02-24 13:27:28.000000,21,21.0,90.0,129,456.0,Highly optimized inference engine for Binarized Neural Networks.,15.0,17,False,2021-01-30 03:07:11.000000,0.5.0,12.0,larq-compute-engine,,,,,1.0,1.0,https://pypi.org/project/larq-compute-engine,2021-01-30 03:07:11.000000,,418.0,431.0,,,,,,,,3.0,165.0,,,,,,,,,,,,,,,,,,,,,\n752,dabl,amueller/dabl,,sklearn-utils,https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49.000000,2021-02-13 01:38:37.000000,2020-07-08 16:14:41.000000,7,1.0,,68,252.0,Data Analysis Baseline Library.,18.0,17,False,2020-09-25 18:14:54.000000,0.1.9,10.0,dabl,,,,['sklearn'],,,https://pypi.org/project/dabl,2020-09-25 18:14:54.000000,,1560.0,1560.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n753,automl-gs,minimaxir/automl-gs,,hyperopt,https://github.com/minimaxir/automl-gs,https://github.com/minimaxir/automl-gs,MIT,2019-01-13 18:57:44.000000,2019-10-22 11:20:40.000000,2019-04-05 06:48:14.000000,157,26.0,6.0,1722,102.0,\"Provide an input CSV and a target field to predict, generate a model + code to run it.\",7.0,16,False,2019-04-05 06:51:04.000000,0.2.1,2.0,automl_gs,,,,,,,https://pypi.org/project/automl_gs,2019-04-05 06:47:54.000000,,29.0,29.0,,,,,,,,3.0,21.0,,,,,,,,,,,,,,,,,,,,,\n754,Xcessiv,reiinakano/xcessiv,,hyperopt,https://github.com/reiinakano/xcessiv,https://github.com/reiinakano/xcessiv,Apache-2.0,2017-03-07 18:18:25.000000,2018-06-06 22:23:37.000000,2017-08-21 00:51:15.000000,109,22.0,13.0,1258,316.0,\"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.\",6.0,16,False,2017-08-21 00:53:25.000000,0.5.1,34.0,xcessiv,,,,,2.0,1.0,https://pypi.org/project/xcessiv,2017-08-21 00:49:41.000000,1.0,80.0,80.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n755,CrypTen,facebookresearch/CrypTen,,privacy-ml,https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000000,2021-02-25 05:48:47.000000,2021-02-22 16:19:00.000000,95,15.0,31.0,722,235.0,A framework for Privacy Preserving Machine Learning.,23.0,16,True,2020-04-21 13:59:37.000000,0.1,1.0,crypten,,,,['pytorch'],6.0,6.0,https://pypi.org/project/crypten,2020-02-05 18:53:03.000000,,87.0,87.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n756,cuGraph,rapidsai/cugraph,,gpu-utilities,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000000,2021-02-25 04:59:12.000000,2021-02-23 15:34:33.000000,144,90.0,496.0,658,,cuGraph - RAPIDS Graph Analytics Library.,59.0,16,True,2021-02-24 21:42:05.000000,0.18.0,6.0,cugraph,,,,,0.0,,https://pypi.org/project/cugraph,2020-06-01 20:09:06.000000,0.0,32.0,32.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n757,HyperparameterHunter,HunterMcGushion/hyperparameter_hunter,,hyperopt,https://github.com/HunterMcGushion/hyperparameter_hunter,https://github.com/HunterMcGushion/hyperparameter_hunter,MIT,2018-06-01 23:17:00.000000,2021-01-20 03:52:41.000000,2021-01-20 03:52:40.000000,84,37.0,84.0,642,1096.0,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries.,4.0,16,True,2019-08-06 09:09:45.000000,3.0.0,16.0,hyperparameter-hunter,,,,,2.0,,https://pypi.org/project/hyperparameter-hunter,2019-08-06 08:52:20.000000,2.0,27.0,36.0,,,,,,,,3.0,268.0,,,,,,,,,,,,,,,,,,,,,\n758,SpeedTorch,Santosh-Gupta/SpeedTorch,,gpu-utilities,https://github.com/Santosh-Gupta/SpeedTorch,https://github.com/Santosh-Gupta/SpeedTorch,MIT,2019-09-07 18:57:52.000000,2020-02-21 23:13:29.000000,2020-02-21 23:13:28.000000,37,3.0,2.0,613,170.0,Library for faster pinned CPU - GPU transfer in Pytorch.,3.0,16,True,2020-01-06 05:27:17.000000,0.1.6,14.0,SpeedTorch,,,,['pytorch'],5.0,3.0,https://pypi.org/project/SpeedTorch,2020-01-06 05:27:17.000000,2.0,27.0,27.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n759,ThunderGBM,Xtra-Computing/thundergbm,,ml-frameworks,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08.000000,2021-01-05 04:22:17.000000,2021-01-05 04:22:15.000000,70,20.0,26.0,580,606.0,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,10.0,16,True,2020-05-01 23:16:25.000000,0.3.16,24.0,thundergbm,,,,,,,https://pypi.org/project/thundergbm,2020-05-01 23:16:25.000000,,41.0,41.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n760,XAI,EthicalML/xai,,interpretability,https://github.com/EthicalML/xai,https://github.com/EthicalML/xai,MIT,2019-01-11 20:00:09.000000,2019-10-05 10:34:58.000000,2019-10-05 10:34:50.000000,87,4.0,3.0,580,83.0,XAI - An eXplainability toolbox for machine learning.,2.0,16,False,2019-04-21 14:53:12.000000,0.0.5,5.0,xai,,,,,16.0,10.0,https://pypi.org/project/xai,2019-04-21 14:53:12.000000,6.0,376.0,376.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n761,AlphaPy,ScottfreeLLC/AlphaPy,,hyperopt,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32.000000,2021-02-08 21:35:40.000000,2021-02-08 21:35:40.000000,121,8.0,29.0,555,409.0,\"Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost.\",3.0,16,True,2020-08-29 18:48:20.000000,2.5.0,25.0,alphapy,,,,,2.0,2.0,https://pypi.org/project/alphapy,2020-08-29 18:44:15.000000,,68.0,68.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n762,SKLL,EducationalTestingService/skll,,ml-experiments,https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,BSD-1-Clause,2013-08-02 14:31:46.000000,2021-02-25 14:45:17.000000,2021-02-24 19:04:23.000000,62,41.0,344.0,520,,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,34.0,16,False,2020-03-13 17:22:26.000000,2.1,63.0,skll,,,,['sklearn'],45.0,28.0,https://pypi.org/project/skll,2020-03-13 16:23:35.000000,17.0,95.0,95.0,,,,,,,,3.0,10.0,,,,,,,,,,,,,,,,,,,,,\n763,Auto Tune Models,HDI-Project/ATM,,hyperopt,https://github.com/HDI-Project/ATM,https://github.com/HDI-Project/ATM,MIT,2016-10-14 18:03:00.000000,2020-02-21 17:44:07.000000,2020-02-21 17:40:58.000000,127,17.0,71.0,504,775.0,\"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).\",16.0,16,True,2019-07-30 09:28:26.000000,0.2.2,14.0,atm,,,,,6.0,6.0,https://pypi.org/project/atm,2019-07-30 09:25:11.000000,,30.0,30.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n764,DiCE,interpretml/DiCE,,interpretability,https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000000,2021-02-25 12:06:46.000000,2021-02-25 12:06:45.000000,67,12.0,19.0,471,334.0,Generate Diverse Counterfactual Explanations for any machine learning model.,10.0,16,True,2020-09-22 06:31:10.000000,0.4,2.0,dice-ml,,,,\"['tensorflow', 'pytorch']\",,,https://pypi.org/project/dice-ml,2020-09-22 06:57:33.000000,,97.0,97.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n765,lightly,lightly-ai/lightly,,image,https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000000,2021-02-25 14:18:44.000000,2021-02-12 13:16:28.000000,22,34.0,36.0,419,310.0,A python library for self-supervised learning on images.,5.0,16,True,2021-01-11 11:34:22.000000,1.0.8,11.0,lightly,,,,['pytorch'],2.0,2.0,https://pypi.org/project/lightly,2021-01-11 11:34:22.000000,0.0,139.0,139.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n766,kglib,graknlabs/kglib,,graph,https://github.com/graknlabs/kglib,https://github.com/graknlabs/kglib,Apache-2.0,2018-09-16 16:46:48.000000,2021-01-15 11:17:51.000000,2021-01-15 11:17:51.000000,74,10.0,49.0,399,487.0,Grakn Knowledge Graph Library (ML R&D).,7.0,16,True,2020-08-19 15:39:10.000000,0.2.2,7.0,grakn-kglib,,,,,,,https://pypi.org/project/grakn-kglib,2020-08-19 15:39:10.000000,,40.0,48.0,,,,,,,,3.0,206.0,,,,,,,,,,,,,,,,,,,,,\n767,pytorch_geometric_temporal,benedekrozemberczki/pytorch_geometric_temporal,,graph,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,MIT,2020-06-27 01:11:33.000000,2021-02-21 18:45:56.000000,2021-02-17 20:20:10.000000,42,1.0,16.0,359,836.0,A Temporal Extension Library for PyTorch Geometric.,3.0,16,True,2021-02-17 20:38:35.000000,_00014,13.0,torch-geometric-temporal,,,,['pytorch'],,,https://pypi.org/project/torch-geometric-temporal,2021-02-17 19:52:10.000000,,89.0,89.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n768,tfdeploy,riga/tfdeploy,,model-serialisation,https://github.com/riga/tfdeploy,https://github.com/riga/tfdeploy,BSD-3-Clause,2016-03-07 13:08:21.000000,2021-01-08 09:52:54.000000,2021-01-08 09:52:49.000000,38,10.0,23.0,346,170.0,Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.,4.0,16,True,2017-03-30 10:51:26.000000,0.4.2,22.0,tfdeploy,,,,['tensorflow'],2.0,,https://pypi.org/project/tfdeploy,2017-03-30 10:51:26.000000,2.0,48.0,48.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n769,pdvega,altair-viz/pdvega,,data-viz,https://github.com/altair-viz/pdvega,https://github.com/altair-viz/pdvega,MIT,2018-01-11 21:30:27.000000,2019-03-29 16:09:14.000000,2019-03-29 16:09:13.000000,29,16.0,10.0,340,177.0,Interactive plotting for Pandas using Vega-Lite.,9.0,16,False,,,1.0,pdvega,,,,,55.0,48.0,https://pypi.org/project/pdvega,2018-02-01 04:56:43.000000,7.0,56.0,56.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n770,Sematch,gsi-upm/sematch,,graph,https://github.com/gsi-upm/sematch,https://github.com/gsi-upm/sematch,Apache-2.0,2012-11-30 11:11:53.000000,2020-11-05 21:20:52.000000,2019-03-27 03:17:24.000000,98,14.0,19.0,339,122.0,semantic similarity framework for knowledge graph.,5.0,16,False,2017-04-17 10:56:52.000000,1.0.4,5.0,sematch,,,,,30.0,27.0,https://pypi.org/project/sematch,2017-04-17 10:56:52.000000,3.0,65.0,65.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n771,datmo,datmo/datmo,,ml-experiments,https://github.com/datmo/datmo,https://github.com/datmo/datmo,MIT,2017-11-03 05:46:43.000000,2019-11-29 00:48:45.000000,2019-11-29 00:48:44.000000,28,42.0,149.0,334,1051.0,Open source production model management tool for data scientists.,6.0,16,False,2018-12-07 06:16:42.000000,0.0.40,41.0,datmo,,,,,5.0,5.0,https://pypi.org/project/datmo,2018-12-07 06:16:42.000000,,92.0,92.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n772,Case Recommender,caserec/CaseRecommender,,recommender-systems,https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39.000000,2020-05-26 22:44:05.000000,2020-05-26 22:44:05.000000,67,6.0,16.0,318,201.0,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems.,10.0,16,True,2019-08-20 13:48:43.000000,1.1.0,41.0,caserecommender,,,,['sklearn'],7.0,7.0,https://pypi.org/project/caserecommender,2019-08-20 13:48:43.000000,,82.0,82.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n773,LOFO,aerdem4/lofo-importance,,interpretability,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46.000000,2021-01-27 13:57:42.000000,2020-07-02 11:49:52.000000,40,1.0,10.0,307,24.0,Leave One Feature Out Importance.,3.0,16,True,2020-07-02 11:44:57.000000,0.2.6,9.0,lofo-importance,,,,,3.0,3.0,https://pypi.org/project/lofo-importance,2020-07-02 11:44:57.000000,,132.0,132.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n774,Headliner,as-ideas/headliner,,nlp,https://github.com/as-ideas/headliner,https://github.com/as-ideas/headliner,MIT,2019-09-30 11:33:28.000000,2021-01-29 12:51:10.000000,2020-02-14 09:03:27.000000,38,1.0,13.0,221,276.0,Easy training and deployment of seq2seq models.,2.0,16,True,2020-01-24 09:06:29.000000,1.0.2,30.0,headliner,,,,,4.0,3.0,https://pypi.org/project/headliner,2020-01-24 09:06:29.000000,1.0,72.0,72.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n775,steppy,minerva-ml/steppy,,ml-experiments,https://github.com/minerva-ml/steppy,https://github.com/minerva-ml/steppy,MIT,2018-01-15 09:40:49.000000,2018-11-23 09:49:59.000000,2018-11-23 09:47:34.000000,31,16.0,50.0,126,69.0,\"Lightweight, Python library for fast and reproducible experimentation.\",5.0,16,False,2018-11-23 09:49:59.000000,0.1.16,16.0,steppy,,,,,43.0,38.0,https://pypi.org/project/steppy,2018-11-23 09:49:59.000000,5.0,50.0,50.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n776,ipyexperiments,stas00/ipyexperiments,,gpu-utilities,https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40.000000,2021-02-13 21:37:46.000000,2021-02-13 21:37:41.000000,9,,4.0,126,191.0,jupyter/ipython experiment containers for GPU and general RAM re-use.,3.0,16,False,2021-02-13 19:44:30.000000,0.1.24,22.0,ipyexperiments,,,,['jupyter'],6.0,4.0,https://pypi.org/project/ipyexperiments,2021-02-13 19:44:30.000000,2.0,69.0,69.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n777,celer,mathurinm/celer,,sklearn-utils,https://github.com/mathurinm/celer,https://github.com/mathurinm/celer,BSD-3-Clause,2018-02-20 19:37:31.000000,2021-02-23 13:29:45.000000,2021-02-18 08:33:08.000000,20,16.0,49.0,110,214.0,\"Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.\",9.0,16,False,2020-10-12 12:26:09.000000,0.5.1,10.0,celer,,,,['sklearn'],4.0,4.0,https://pypi.org/project/celer,2020-12-09 13:19:10.000000,,40.0,40.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n778,tinygrad,geohot/tinygrad,,pytorch-utils,https://github.com/geohot/tinygrad,https://github.com/geohot/tinygrad,MIT,2020-10-18 16:23:12.000000,2021-02-17 13:45:15.000000,2021-01-31 16:31:16.000000,453,14.0,62.0,4113,511.0,You like pytorch? You like micrograd? You love tinygrad!.,43.0,15,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n779,GraphEmbedding,shenweichen/GraphEmbedding,,graph,https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20.000000,2021-02-19 15:14:27.000000,2020-10-18 09:32:47.000000,559,27.0,13.0,1800,28.0,Implementation and experiments of graph embedding algorithms.,8.0,15,True,,,,,,,,['sklearn'],7.0,7.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n780,pycls,facebookresearch/pycls,,image,https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17.000000,2021-02-21 04:04:28.000000,2021-01-14 21:14:50.000000,155,11.0,44.0,1449,72.0,\"Codebase for Image Classification Research, written in PyTorch.\",9.0,15,True,2020-04-15 19:33:22.000000,0.1,1.0,,,,,['pytorch'],3.0,3.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n781,Lambda Networks,lucidrains/lambda-networks,,pytorch-utils,https://github.com/lucidrains/lambda-networks,https://github.com/lucidrains/lambda-networks,MIT,2020-10-08 19:01:15.000000,2020-11-18 19:54:34.000000,2020-11-18 19:54:30.000000,138,10.0,15.0,1385,,\"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.\",3.0,15,True,2020-11-18 08:19:23.000000,0.4.0,11.0,lambda-networks,,,,['pytorch'],,,https://pypi.org/project/lambda-networks,2020-11-18 08:19:23.000000,,389.0,389.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n782,AdvBox,advboxes/AdvBox,,adversarial,https://github.com/advboxes/AdvBox,https://github.com/advboxes/AdvBox,Apache-2.0,2018-08-08 08:55:41.000000,2020-11-13 17:59:22.000000,2020-08-26 22:59:41.000000,225,6.0,28.0,1048,374.0,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,19.0,15,True,2018-12-05 02:48:50.000000,0.4.1,2.0,advbox,,,,,,,https://pypi.org/project/advbox,2018-12-05 02:48:50.000000,,16.0,16.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n783,Torch-Struct,harvardnlp/pytorch-struct,,pytorch-utils,https://github.com/harvardnlp/pytorch-struct,https://github.com/harvardnlp/pytorch-struct,MIT,2019-08-26 19:34:30.000000,2021-02-15 20:20:59.000000,2021-02-14 02:45:15.000000,71,18.0,24.0,901,261.0,\"Fast, general, and tested differentiable structured prediction in PyTorch.\",13.0,15,True,2021-02-15 20:20:59.000000,0.5,2.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n784,aim,aimhubio/aim,,ml-experiments,https://github.com/aimhubio/aim,https://github.com/aimhubio/aim,Apache-2.0,2019-05-31 18:25:07.000000,2021-02-23 14:26:33.000000,2021-02-19 10:22:43.000000,47,23.0,28.0,858,,\"Aim a super-easy way to record, search and compare 1000s of ML training runs.\",8.0,15,True,2019-11-06 08:06:11.000000,3.1.0,41.0,aim,,,,,2.0,,https://pypi.org/project/aim,2021-01-07 09:21:55.000000,2.0,670.0,670.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n785,MedicalTorch,perone/medicaltorch,,medical-data,https://github.com/perone/medicaltorch,https://github.com/perone/medicaltorch,Apache-2.0,2018-02-27 02:50:07.000000,2020-09-30 13:21:57.000000,2019-08-15 10:03:51.000000,106,14.0,9.0,709,55.0,A medical imaging framework for Pytorch.,7.0,15,False,2018-11-24 00:33:11.000000,0.2,2.0,medicaltorch,,,,['pytorch'],10.0,10.0,https://pypi.org/project/medicaltorch,2018-11-24 00:29:36.000000,,35.0,35.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n786,Translate,pytorch/translate,,nlp,https://github.com/pytorch/translate,https://github.com/pytorch/translate,BSD-3-Clause,2018-04-24 16:44:04.000000,2021-02-15 05:43:00.000000,2021-02-15 05:42:53.000000,158,66.0,27.0,679,804.0,Translate - a PyTorch Language Library.,85.0,15,True,,,1.0,pytorch-translate,,,,['pytorch'],,,https://pypi.org/project/pytorch-translate,2018-05-01 19:59:40.000000,,5.0,5.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n787,torchsde,google-research/torchsde,,pytorch-utils,https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11.000000,2021-02-24 16:46:37.000000,2021-02-09 08:23:42.000000,56,6.0,28.0,657,145.0,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,4.0,15,True,2021-01-05 18:31:38.000000,0.2.4,4.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n788,Hivemind,learning-at-home/hivemind,,distributed-ml,https://github.com/learning-at-home/hivemind,https://github.com/learning-at-home/hivemind,MIT,2020-02-27 13:50:19.000000,2021-02-20 11:36:36.000000,2021-02-20 02:28:24.000000,36,20.0,20.0,651,298.0,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,9.0,15,True,2020-08-28 16:00:22.000000,0.8.2,5.0,hivemind,,,,,2.0,1.0,https://pypi.org/project/hivemind,2020-08-28 16:00:22.000000,1.0,18.0,18.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n789,FlashTorch,MisaOgura/flashtorch,,interpretability,https://github.com/MisaOgura/flashtorch,https://github.com/MisaOgura/flashtorch,MIT,2019-03-22 13:00:57.000000,2020-12-14 23:09:26.000000,2020-05-29 14:37:29.000000,66,6.0,21.0,552,126.0,Visualization toolkit for neural networks in PyTorch! Demo --.,2.0,15,True,2020-05-29 14:39:38.000000,0.1.3,12.0,flashtorch,,,,['pytorch'],6.0,6.0,https://pypi.org/project/flashtorch,2020-05-29 14:38:32.000000,,142.0,142.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n790,cuSignal,rapidsai/cusignal,,gpu-utilities,https://github.com/rapidsai/cusignal,https://github.com/rapidsai/cusignal,Apache-2.0,2019-08-22 14:27:27.000000,2021-02-24 18:04:11.000000,2021-02-17 16:17:09.000000,61,15.0,90.0,450,,GPU accelerated signal processing.,29.0,15,True,2021-02-24 18:04:23.000000,0.18.0,5.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n791,Pywick,achaiah/pywick,,pytorch-utils,https://github.com/achaiah/pywick,https://github.com/achaiah/pywick,MIT,2019-03-25 15:42:47.000000,2021-02-11 17:06:17.000000,2020-09-24 19:20:06.000000,35,2.0,9.0,312,109.0,High-level batteries-included neural network training library for Pytorch.,4.0,15,True,2020-01-20 22:14:21.000000,0.5.6,6.0,pywick,,,,['pytorch'],2.0,2.0,https://pypi.org/project/pywick,2020-01-20 22:14:21.000000,,99.0,99.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n792,VizSeq,facebookresearch/vizseq,,nlp,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38.000000,2020-12-13 18:55:58.000000,2020-12-13 18:55:54.000000,39,7.0,8.0,311,43.0,\"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).\",3.0,15,True,2020-08-07 01:13:52.000000,0.1.15,16.0,vizseq,,,,,2.0,2.0,https://pypi.org/project/vizseq,2020-08-07 01:13:52.000000,,73.0,73.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n793,Parfit,jmcarpenter2/parfit,,hyperopt,https://github.com/jmcarpenter2/parfit,https://github.com/jmcarpenter2/parfit,MIT,2017-11-22 20:17:51.000000,2020-04-04 19:26:44.000000,2020-04-04 19:26:37.000000,25,6.0,5.0,197,127.0,\"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..\",2.0,15,True,,,23.0,parfit,,,,['sklearn'],7.0,7.0,https://pypi.org/project/parfit,2018-10-11 22:03:16.000000,,2891.0,2891.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n794,pyRDF2Vec,IBCNServices/pyRDF2Vec,,graph,https://github.com/IBCNServices/pyRDF2Vec,https://github.com/IBCNServices/pyRDF2Vec,MIT,2019-06-13 11:36:12.000000,2021-02-24 13:23:46.000000,2021-02-08 07:24:27.000000,18,4.0,23.0,85,753.0,Python Implementation and Extension of RDF2Vec.,5.0,15,False,2020-11-02 15:07:48.000000,0.1.1,7.0,pyrdf2vec,,,,,,,https://pypi.org/project/pyrdf2vec,2020-11-02 15:05:32.000000,,61.0,61.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n795,contextual-ai,SAP/contextual-ai,,interpretability,https://github.com/SAP/contextual-ai,https://github.com/SAP/contextual-ai,Apache-2.0,2020-05-12 07:15:56.000000,2021-01-25 04:56:57.000000,2021-01-25 04:03:23.000000,9,4.0,1.0,68,621.0,\"Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference -..\",10.0,15,False,2021-01-25 04:56:57.000000,0.0.2,2.0,contextual-ai,,,,,,,https://pypi.org/project/contextual-ai,2021-01-25 04:56:57.000000,,94.0,94.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n796,DE⫶TR,facebookresearch/detr,,image,https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52.000000,2021-02-19 06:34:49.000000,2020-11-15 16:03:45.000000,939,63.0,218.0,6245,41.0,End-to-End Object Detection with Transformers.,19.0,14,True,2020-06-29 16:41:01.000000,0.2,1.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n797,PySlowFast,facebookresearch/SlowFast,,image,https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26.000000,2021-02-25 00:19:33.000000,2021-02-25 00:19:27.000000,632,165.0,185.0,3369,102.0,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,19.0,14,True,,,,,,,,['pytorch'],2.0,2.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n798,OpenNRE,thunlp/OpenNRE,,nlp,https://github.com/thunlp/OpenNRE,https://github.com/thunlp/OpenNRE,MIT,2017-02-26 07:37:12.000000,2021-01-15 02:29:36.000000,2020-11-24 06:37:04.000000,855,20.0,287.0,2986,135.0,An Open-Source Package for Neural Relation Extraction (NRE).,9.0,14,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n799,Euler,alibaba/euler,,graph,https://github.com/alibaba/euler,https://github.com/alibaba/euler,Apache-2.0,2019-01-10 06:32:32.000000,2020-07-29 05:53:02.000000,2020-07-29 05:53:01.000000,505,201.0,97.0,2505,8.0,A distributed graph deep learning framework.,5.0,14,True,2020-07-07 02:24:18.000000,2.0.0,2.0,euler-gl,,,,['tensorflow'],,,https://pypi.org/project/euler-gl,2019-04-10 01:53:45.000000,,8.0,8.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n800,ENAS,carpedm20/ENAS-pytorch,,hyperopt,https://github.com/carpedm20/ENAS-pytorch,https://github.com/carpedm20/ENAS-pytorch,Apache-2.0,2018-02-15 04:54:37.000000,2020-12-09 18:13:03.000000,2020-06-16 07:23:32.000000,446,37.0,7.0,2388,53.0,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,6.0,14,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n801,GraphSAGE,williamleif/GraphSAGE,,graph,https://github.com/williamleif/GraphSAGE,https://github.com/williamleif/GraphSAGE,MIT,2017-05-29 15:36:22.000000,2021-02-02 21:46:42.000000,2018-09-19 19:27:00.000000,617,85.0,58.0,2176,59.0,Representation learning on large graphs using stochastic graph convolutions.,9.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n802,ZhuSuan,thu-ml/zhusuan,,probabilistics,https://github.com/thu-ml/zhusuan,https://github.com/thu-ml/zhusuan,MIT,2016-07-18 13:31:38.000000,2020-01-09 14:51:27.000000,2019-08-05 10:00:04.000000,379,8.0,53.0,2012,439.0,\"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.\",20.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n803,OpenNE,thunlp/OpenNE,,graph,https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20.000000,2021-01-29 16:32:37.000000,2019-08-12 10:56:27.000000,440,50.0,81.0,1409,98.0,An Open-Source Package for Network Embedding (NE).,10.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n804,zenml,maiot-io/zenml,,data-pipelines,https://github.com/maiot-io/zenml,https://github.com/maiot-io/zenml,Apache-2.0,2020-11-19 09:25:46.000000,2021-02-25 11:45:27.000000,2021-02-17 19:12:58.000000,42,19.0,5.0,838,,ZenML: Bring Zen to your ML with reproducible pipelines.,7.0,14,True,2021-02-12 12:27:21.000000,0.3.2,16.0,zenml,,,,,1.0,1.0,https://pypi.org/project/zenml,2021-02-12 12:24:34.000000,,118.0,118.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n805,Anchor,marcotcr/anchor,,interpretability,https://github.com/marcotcr/anchor,https://github.com/marcotcr/anchor,BSD-2-Clause,2018-02-02 23:38:50.000000,2020-09-10 17:49:26.000000,2020-09-10 17:48:28.000000,87,12.0,45.0,623,39.0,Code for High-Precision Model-Agnostic Explanations paper.,8.0,14,True,,,8.0,anchor_exp,,,,,,,https://pypi.org/project/anchor_exp,2020-06-26 20:56:50.000000,,292.0,292.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n806,AutoGL,THUMNLab/AutoGL,,graph,https://github.com/THUMNLab/AutoGL,https://github.com/THUMNLab/AutoGL,MIT,2020-11-30 14:26:22.000000,2021-02-25 13:57:46.000000,2021-02-07 03:05:02.000000,56,5.0,2.0,584,,An autoML framework & toolkit for machine learning on graphs.,5.0,14,True,2020-12-23 08:15:15.000000,0.1.1,2.0,auto-graph-learning,,,,['pytorch'],,,https://pypi.org/project/auto-graph-learning,2020-12-23 08:05:25.000000,,28.0,28.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n807,Tez,abhishekkrthakur/tez,,pytorch-utils,https://github.com/abhishekkrthakur/tez,https://github.com/abhishekkrthakur/tez,Apache-2.0,2020-11-13 10:19:22.000000,2021-02-07 21:09:23.000000,2021-02-07 21:09:17.000000,69,13.0,7.0,564,,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,1.0,14,True,2021-01-29 07:26:14.000000,0.1.2,9.0,tez,,,,['pytorch'],,,https://pypi.org/project/tez,2021-01-29 07:26:14.000000,,574.0,574.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n808,PandaPy,firmai/pandapy,,data-containers,https://github.com/firmai/pandapy,https://github.com/firmai/pandapy,MIT,2020-01-15 18:21:23.000000,2020-11-12 16:18:45.000000,2020-11-12 16:18:44.000000,45,2.0,1.0,473,83.0,PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai).,3.0,14,True,2020-11-12 16:12:54.000000,zen,22.0,pandapy,,,,['pandas'],1.0,1.0,https://pypi.org/project/pandapy,2020-01-25 23:10:32.000000,,25.0,25.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n809,OpenRec,ylongqi/openrec,,recommender-systems,https://github.com/ylongqi/openrec,https://github.com/ylongqi/openrec,Apache-2.0,2017-11-29 16:04:40.000000,2020-11-13 17:47:17.000000,2020-02-19 07:57:17.000000,79,4.0,12.0,358,213.0,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms.,10.0,14,True,2020-02-18 06:52:11.000000,0.3.0,12.0,openrec,,,,,2.0,1.0,https://pypi.org/project/openrec,2020-02-18 06:52:11.000000,1.0,19.0,19.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n810,Adversary,airbnb/artificial-adversary,,adversarial,https://github.com/airbnb/artificial-adversary,https://github.com/airbnb/artificial-adversary,MIT,2018-08-08 04:42:11.000000,2018-10-14 05:34:44.000000,2018-08-29 15:31:30.000000,48,7.0,,344,15.0,Tool to generate adversarial text examples and test machine learning models against them.,5.0,14,False,2018-08-29 15:14:41.000000,1.1.1,3.0,Adversary,,,,,6.0,6.0,https://pypi.org/project/Adversary,2018-08-29 15:14:41.000000,,22.0,22.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n811,TransferNLP,feedly/transfer-nlp,,nlp,https://github.com/feedly/transfer-nlp,https://github.com/feedly/transfer-nlp,MIT,2019-03-12 20:00:31.000000,2020-05-28 19:00:02.000000,2020-05-28 17:31:53.000000,18,4.0,19.0,287,465.0,NLP library designed for reproducible experimentation management.,7.0,14,True,2020-05-28 19:00:02.000000,0.1.6,8.0,transfer-nlp,,,,['pytorch'],,,https://pypi.org/project/transfer-nlp,2020-05-28 19:00:02.000000,,39.0,39.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n812,data-describe,data-describe/data-describe,,data-viz,https://github.com/data-describe/data-describe,https://github.com/data-describe/data-describe,Apache-2.0,2020-05-04 17:58:14.000000,2021-02-15 20:32:34.000000,2021-01-15 16:20:44.000000,12,67.0,174.0,261,694.0,datadescribe: Pythonic EDA Accelerator for Data Science.,14.0,14,True,,,5.0,data-describe,,,,,,,https://pypi.org/project/data-describe,2020-12-03 23:07:43.000000,,64.0,64.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n813,NeuralQA,victordibia/neuralqa,,nlp,https://github.com/victordibia/neuralqa,https://github.com/victordibia/neuralqa,MIT,2020-05-19 03:55:56.000000,2020-12-16 17:42:12.000000,2020-12-16 17:41:37.000000,24,21.0,8.0,184,312.0,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,3.0,14,True,,,27.0,neuralqa,,,,,2.0,2.0,https://pypi.org/project/neuralqa,2020-09-18 17:54:50.000000,,16.0,16.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n814,Julius,adefossez/julius,,audio,https://github.com/adefossez/julius,https://github.com/adefossez/julius,MIT,2020-10-26 10:54:21.000000,2021-01-26 11:59:07.000000,2021-01-26 11:59:06.000000,6,,3.0,176,,Fast PyTorch based DSP for audio and 1D signals.,2.0,14,True,2021-01-26 11:45:37.000000,0.2.2,6.0,julius,,,,['pytorch'],7.0,7.0,https://pypi.org/project/julius,2021-01-26 11:45:37.000000,,1030.0,1030.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n815,textvec,textvec/textvec,,nlp,https://github.com/textvec/textvec,https://github.com/textvec/textvec,MIT,2018-04-12 14:03:53.000000,2020-12-03 14:23:11.000000,2020-12-03 14:23:04.000000,21,2.0,6.0,161,70.0,Text vectorization tool to outperform TFIDF for classification tasks.,5.0,14,True,2019-09-12 07:41:04.000000,2.0,4.0,textvec,,,,['sklearn'],2.0,2.0,https://pypi.org/project/textvec,2020-12-03 14:17:09.000000,,52.0,52.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n816,nx-altair,Zsailer/nx_altair,,data-viz,https://github.com/Zsailer/nx_altair,https://github.com/Zsailer/nx_altair,MIT,2018-05-13 00:10:12.000000,2020-09-30 12:01:08.000000,2020-06-02 21:10:26.000000,19,5.0,4.0,157,51.0,Draw interactive NetworkX graphs with Altair.,3.0,14,True,2020-06-02 21:11:12.000000,0.1.6,8.0,nx-altair,,,,['jupyter'],4.0,,https://pypi.org/project/nx-altair,2020-06-02 21:11:12.000000,4.0,81.0,81.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n817,ONNX-T5,abelriboulot/onnxt5,,nlp,https://github.com/abelriboulot/onnxt5,https://github.com/abelriboulot/onnxt5,Apache-2.0,2020-08-01 09:38:35.000000,2021-01-28 09:26:15.000000,2021-01-28 09:24:52.000000,19,4.0,6.0,139,74.0,\"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..\",3.0,14,False,2021-01-28 09:26:15.000000,0.1.8,11.0,onnxt5,,,,,,,https://pypi.org/project/onnxt5,2021-01-28 09:26:15.000000,,115.0,115.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n818,ModelChimp,ModelChimp/modelchimp,,ml-experiments,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03.000000,2021-02-23 23:35:19.000000,2021-02-15 13:37:13.000000,12,4.0,10.0,119,361.0,Experiment tracking for machine and deep learning projects.,3.0,14,False,2019-04-09 10:43:15.000000,0.4.0,37.0,modelchimp,,modelchimp/modelchimp-server,,,,,https://pypi.org/project/modelchimp,2019-04-09 10:41:20.000000,,47.0,70.0,,,,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,635.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n819,DeepNeuro,QTIM-Lab/DeepNeuro,,medical-data,https://github.com/QTIM-Lab/DeepNeuro,https://github.com/QTIM-Lab/DeepNeuro,MIT,2017-06-01 19:36:34.000000,2020-06-24 13:00:15.000000,2020-06-24 13:00:14.000000,31,27.0,16.0,98,285.0,A deep learning python package for neuroimaging data. Made by:.,6.0,14,False,2019-06-10 21:04:04.000000,0.2.3,6.0,deepneuro,,,,,1.0,1.0,https://pypi.org/project/deepneuro,2019-06-10 21:04:04.000000,,26.0,26.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n820,nptsne,biovault/nptsne,,data-viz,https://github.com/biovault/nptsne,https://github.com/biovault/nptsne,Apache-2.0,2019-06-28 08:40:25.000000,2021-02-18 16:50:29.000000,2021-02-03 08:52:27.000000,2,6.0,5.0,25,857.0,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,3.0,14,False,2020-09-10 23:54:14.000000,1.1.0,2.0,nptsne,,,,,2.0,2.0,https://pypi.org/project/nptsne,2020-09-10 23:54:14.000000,,32.0,32.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n821,StarSpace,facebookresearch/StarSpace,,ml-frameworks,https://github.com/facebookresearch/StarSpace,https://github.com/facebookresearch/StarSpace,MIT,2017-06-28 17:50:18.000000,2020-05-18 03:40:57.000000,2019-12-13 19:03:25.000000,494,50.0,146.0,3552,138.0,\"Learning embeddings for classification, retrieval and ranking.\",17.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n822,OpenKE,thunlp/OpenKE,,graph,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,MIT,2017-10-08 11:20:23.000000,2020-04-08 11:00:38.000000,2020-04-08 11:00:32.000000,739,54.0,223.0,2403,97.0,An Open-Source Package for Knowledge Embedding (KE).,10.0,13,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n823,micrograd,karpathy/micrograd,,pytorch-utils,https://github.com/karpathy/micrograd,https://github.com/karpathy/micrograd,MIT,2020-04-13 04:31:18.000000,2020-12-18 12:55:50.000000,2020-04-18 19:15:25.000000,118,2.0,3.0,1598,24.0,A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.,2.0,13,True,2020-04-18 19:06:59.000000,0.1.0,1.0,micrograd,,,,['pytorch'],1.0,1.0,https://pypi.org/project/micrograd,2020-04-18 19:06:59.000000,0.0,12.0,12.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n824,GraphVite,DeepGraphLearning/graphvite,,graph,https://github.com/DeepGraphLearning/graphvite,https://github.com/DeepGraphLearning/graphvite,Apache-2.0,2019-07-16 15:48:20.000000,2021-01-14 02:19:03.000000,2021-01-14 02:18:46.000000,118,26.0,55.0,853,15.0,GraphVite: A General and High-performance Graph Embedding System.,1.0,13,True,,,4.0,,milagraph/graphvite,,,,,,,,,,196.0,https://anaconda.org/milagraph/graphvite,2020-03-19 18:21:30.972000,3537.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n825,NeoML,neoml-lib/neoml,,ml-frameworks,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000000,2021-02-22 19:30:34.000000,2021-02-20 22:32:38.000000,80,16.0,13.0,566,231.0,Machine learning framework for both deep learning and traditional algorithms.,18.0,13,True,2020-06-14 17:44:03.000000,NeoML-master_1.0.1.0,1.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n826,Auptimizer,LGE-ARC-AdvancedAI/auptimizer,,hyperopt,https://github.com/LGE-ARC-AdvancedAI/auptimizer,https://github.com/LGE-ARC-AdvancedAI/auptimizer,GPL-3.0,2019-09-12 01:08:37.000000,2020-12-04 01:00:53.000000,2020-12-04 00:51:11.000000,20,,4.0,160,68.0,An automatic ML model optimization tool.,11.0,13,False,2020-11-19 05:14:22.000000,1.4,6.0,auptimizer,,,,,,,https://pypi.org/project/auptimizer,2020-11-19 00:23:49.000000,,29.0,29.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n827,Hypermax,electricbrainio/hypermax,,hyperopt,https://github.com/electricbrainio/hypermax,https://github.com/electricbrainio/hypermax,BSD-3-Clause,2018-07-27 18:43:01.000000,2020-08-02 18:08:50.000000,2020-08-02 18:08:46.000000,15,3.0,1.0,95,207.0,\"Better, faster hyper-parameter optimization.\",9.0,13,False,2019-10-23 15:40:12.000000,0.5.1,11.0,hypermax,,,,,4.0,4.0,https://pypi.org/project/hypermax,2019-10-23 15:40:12.000000,,17.0,17.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n828,surpriver,tradytics/surpriver,,financial-data,https://github.com/tradytics/surpriver,https://github.com/tradytics/surpriver,GPL-3.0,2020-08-30 07:56:22.000000,2020-11-13 00:48:16.000000,2020-09-21 04:32:05.000000,203,9.0,4.0,1114,64.0,Find big moving stocks before they move using machine learning and anomaly detection.,6.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n829,Medical Detection Toolkit,MIC-DKFZ/medicaldetectiontoolkit,,medical-data,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,Apache-2.0,2018-10-12 12:34:57.000000,2020-10-14 11:17:37.000000,2020-04-18 12:52:08.000000,234,27.0,85.0,904,36.0,\"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..\",3.0,12,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n830,Attribution Priors,suinleelab/attributionpriors,,interpretability,https://github.com/suinleelab/attributionpriors,https://github.com/suinleelab/attributionpriors,MIT,2019-06-24 23:54:24.000000,2021-02-22 01:55:26.000000,2021-02-22 01:55:22.000000,4,1.0,3.0,74,71.0,Tools for training explainable models using attribution priors.,6.0,12,False,2019-10-31 18:03:05.000000,0.1.3,4.0,attributionpriors,,,,\"['tensorflow', 'pytorch']\",2.0,2.0,https://pypi.org/project/attributionpriors,2019-10-31 18:03:05.000000,,15.0,15.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n831,featurewiz,AutoViML/featurewiz,,hyperopt,https://github.com/AutoViML/featurewiz,https://github.com/AutoViML/featurewiz,Apache-2.0,2020-11-29 16:46:16.000000,2021-02-20 23:22:34.000000,2021-02-20 23:19:52.000000,15,,,40,,Use advanced feature engineering strategies and select the best features from your data set fast with a single line of..,1.0,12,False,2021-02-20 23:22:34.000000,0.0.18,18.0,featurewiz,,,,,,,https://pypi.org/project/featurewiz,2021-02-20 23:22:34.000000,,174.0,174.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n832,LazyCluster,ml-tooling/lazycluster,,distributed-ml,https://github.com/ml-tooling/lazycluster,https://github.com/ml-tooling/lazycluster,Apache-2.0,2019-08-07 08:05:13.000000,2021-02-10 02:39:55.000000,2020-12-14 15:24:53.000000,6,,,33,,Distributed machine learning made simple.,2.0,12,False,2020-12-14 15:25:59.000000,0.2.4,5.0,lazycluster,,,,,2.0,2.0,https://pypi.org/project/lazycluster,2020-12-14 14:49:33.000000,,39.0,39.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n833,MedicalNet,Tencent/MedicalNet,,medical-data,https://github.com/Tencent/MedicalNet,https://github.com/Tencent/MedicalNet,MIT,2019-07-17 09:53:10.000000,2020-08-27 13:37:27.000000,2020-08-27 13:37:26.000000,284,43.0,14.0,1059,26.0,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,1.0,11,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n834,Devol,joeddav/devol,,hyperopt,https://github.com/joeddav/devol,https://github.com/joeddav/devol,MIT,2017-02-10 03:07:54.000000,2020-07-05 21:56:59.000000,2020-07-05 21:56:58.000000,109,7.0,20.0,924,116.0,Genetic neural architecture search with Keras.,18.0,11,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n835,PySparNN,facebookresearch/pysparnn,,nn-search,https://github.com/facebookresearch/pysparnn,https://github.com/facebookresearch/pysparnn,BSD-3-Clause,2016-03-28 20:43:42.000000,2020-10-02 06:01:01.000000,2018-01-31 16:50:23.000000,140,11.0,14.0,851,147.0,Approximate Nearest Neighbor Search for Sparse Data in Python!.,5.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n836,bias-detector,intuit/bias-detector,,interpretability,https://github.com/intuit/bias-detector,https://github.com/intuit/bias-detector,MIT,2021-02-02 16:58:52.000000,2021-02-14 12:06:08.000000,2021-02-14 12:06:02.000000,4,,,16,,Bias Detector is a python package for detecting bias in machine learning models.,3.0,11,False,2021-02-09 11:20:10.000000,0.0.11,10.0,bias-detector,,,,,,,https://pypi.org/project/bias-detector,2021-02-09 11:20:10.000000,,145.0,145.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n837,traingenerator,jrieke/traingenerator,,others,https://github.com/jrieke/traingenerator,https://github.com/jrieke/traingenerator,MIT,2020-12-03 16:47:16.000000,2021-02-04 09:41:40.000000,2021-01-20 23:05:06.000000,117,9.0,3.0,924,,A web app to generate template code for machine learning.,3.0,10,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n838,Mozart,aashrafh/Mozart,,ocr,https://github.com/aashrafh/Mozart,https://github.com/aashrafh/Mozart,Apache-2.0,2020-12-14 11:49:14.000000,2021-02-11 08:19:14.000000,2021-01-14 17:13:58.000000,36,1.0,1.0,234,,An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.,5.0,10,True,,,,,,,,['sklearn'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n839,Hypertunity,gdikov/hypertunity,,hyperopt,https://github.com/gdikov/hypertunity,https://github.com/gdikov/hypertunity,Apache-2.0,2019-06-02 12:04:55.000000,2020-01-26 23:14:49.000000,2020-01-26 22:53:29.000000,9,,2.0,119,64.0,A toolset for black-box hyperparameter optimisation.,2.0,10,False,2020-01-26 23:08:16.000000,1.0.1,7.0,hypertunity,,,,,2.0,2.0,https://pypi.org/project/hypertunity,2020-01-26 23:08:16.000000,,11.0,11.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n840,traintool,jrieke/traintool,,ml-experiments,https://github.com/jrieke/traintool,https://github.com/jrieke/traintool,Apache-2.0,2020-09-30 22:23:05.000000,2020-11-18 02:51:43.000000,2020-11-18 02:50:52.000000,1,,,9,120.0,Train off-the-shelf machine learning models in one line of code.,,9,False,2020-11-02 02:25:32.000000,0.0.3,3.0,traintool,,,,\"['pytorch', 'tensorflow', 'sklearn']\",,,https://pypi.org/project/traintool,2020-11-02 02:25:32.000000,,13.0,13.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n"
  },
  {
    "path": "history/2021-03-04_changes.md",
    "content": "## 📈 Trending Up\n\n_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._\n\n- <b><a href=\"https://github.com/apache/incubator-mxnet\">MXNet</a></b> (🥈34 ·  ⭐ 19K · 📈) - Lightweight, Portable, Flexible Distributed/Mobile Deep.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1X\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/scikit-image/scikit-image\">scikit-image</a></b> (🥇33 ·  ⭐ 4.2K · 📈) - Image processing in Python. <code><a href=\"http://bit.ly/3rqEWVr\">BSD-2</a></code>\n- <b><a href=\"https://github.com/martinblech/xmltodict\">xmltodict</a></b> (🥇32 ·  ⭐ 4.3K · 💤) - Python module that makes working with XML feel like you are.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/facebookresearch/fastText\">fastText</a></b> (🥇30 ·  ⭐ 22K · 💤) - Library for fast text representation and classification. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/vispy/vispy\">VisPy</a></b> (🥈29 ·  ⭐ 2.6K · 📈) - High-performance interactive 2D/3D data visualization library. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/scikit-learn-contrib/metric-learn\">metric-learn</a></b> (🥈24 ·  ⭐ 1.1K · 💤) - Metric learning algorithms in Python. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/pmorissette/bt\">bt</a></b> (🥈24 ·  ⭐ 980 · 📈) - bt - flexible backtesting for Python. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/ModelOriented/DALEX\">DALEX</a></b> (🥉20 ·  ⭐ 780 · 📈) - moDel Agnostic Language for Exploration and eXplanation. <code><a href=\"http://bit.ly/2M0xdwT\">❗️GPL-3.0</a></code>\n- <b><a href=\"https://github.com/EducationalTestingService/skll\">SKLL</a></b> (🥉18 ·  ⭐ 520 · 📈) - SciKit-Learn Laboratory (SKLL) makes it easy to run.. <code><a href=\"https://tldrlegal.com/search?q=BSD-1-Clause\">❗️BSD-1-Clause</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/learning-at-home/hivemind\">Hivemind</a></b> (🥉17 ·  ⭐ 650 · 📈) - Decentralized deep learning in PyTorch. Built to train models on.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n\n## 📉 Trending Down\n\n_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._\n\n- <b><a href=\"https://github.com/numpy/numpy\">numpy</a></b> (🥇38 ·  ⭐ 16K · 📉) - The fundamental package for scientific computing with Python. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/spotify/luigi\">luigi</a></b> (🥈32 ·  ⭐ 14K · 📉) - Luigi is a Python module that helps you build complex pipelines of.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/fxsjy/jieba\">jieba</a></b> (🥇30 ·  ⭐ 26K · 💀) - Chinese Words Segmentation Utilities. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/spotify/annoy\">Annoy</a></b> (🥇29 ·  ⭐ 8.2K · 📉) - Approximate Nearest Neighbors in C++/Python optimized for memory.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/scikit-optimize/scikit-optimize\">scikit-optimize</a></b> (🥇29 ·  ⭐ 2.1K · 📉) - Sequential model-based optimization with a.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/Yelp/mrjob\">mrjob</a></b> (🥈27 ·  ⭐ 2.5K · 📉) - Run MapReduce jobs on Hadoop or Amazon Web Services. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/qubvel/efficientnet\">efficientnet</a></b> (🥉23 ·  ⭐ 1.7K · 📉) - Implementation of EfficientNet model. Keras and.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/astroML/astroML\">AstroML</a></b> (🥉20 ·  ⭐ 730 · 📉) - Machine learning, statistics, and data mining for astronomy and.. <code><a href=\"http://bit.ly/3rqEWVr\">BSD-2</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/jasmcaus/caer\">Caer</a></b> (🥉20 ·  ⭐ 440 · 📉) - A lightweight Computer Vision library. Scale your models, not boilerplate. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/koaning/scikit-lego\">scikit-lego</a></b> (🥉20 ·  ⭐ 430 · 📉) - Extra blocks for scikit-learn pipelines. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n\n"
  },
  {
    "path": "history/2021-03-04_projects.csv",
    "content": ",name,github_id,resource,category,github_url,homepage,license,created_at,updated_at,last_commit_pushed_at,fork_count,open_issue_count,closed_issue_count,star_count,commit_count,description,contributor_count,projectrank,show,latest_stable_release_published_at,latest_stable_release_number,release_count,pypi_id,conda_id,dockerhub_id,docs_url,labels,dependent_project_count,github_dependent_project_count,pypi_url,pypi_latest_release_published_at,pypi_dependent_project_count,pypi_monthly_downloads,monthly_downloads,conda_url,conda_latest_release_published_at,conda_total_downloads,dockerhub_url,dockerhub_latest_release_published_at,dockerhub_stars,dockerhub_pulls,projectrank_placing,github_release_downloads,helm_id,trending,npm_id,npm_url,npm_latest_release_published_at,npm_dependent_project_count,npm_monthly_downloads,conda_dependent_project_count,brew_id,apt_id,yum_id,updated_github_id,snap_id,maven_id,maven_url,maven_latest_release_published_at,maven_dependent_project_count,dnf_id,yay_id,gitlab_id,gitlab_url\n0,ANN Benchmarks,erikbern/ann-benchmarks,True,nn-search,https://github.com/erikbern/ann-benchmarks,https://github.com/erikbern/ann-benchmarks,MIT,2015-05-28 13:21:43.000000,2021-03-01 06:54:56.000000,2021-02-03 11:59:35.000000,326,26.0,59.0,2084,1173.0,Benchmarks of approximate nearest neighbor libraries in Python.,53.0,0,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n1,best-of-web-python - Web Scraping,ml-tooling/best-of-web-python,True,web-scraping,https://github.com/ml-tooling/best-of-web-python,https://github.com/ml-tooling/best-of-web-python,CC-BY-SA-4.0,2021-01-05 13:09:27.000000,2021-03-04 14:21:48.000000,2021-02-25 19:21:30.000000,62,,2.0,1064,,Collection of web-scraping and crawling libraries.,6.0,0,True,2021-02-25 19:21:49.000000,2021.02.25,9.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n2,best-of-python - DB Clients,ml-tooling/best-of-python,True,db-clients,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#database-clients,CC-BY-SA-4.0,2021-01-11 19:11:32.000000,2021-03-04 15:01:22.000000,2021-02-25 15:11:40.000000,92,1.0,2.0,1480,,Collection of database clients for python.,5.0,0,True,2021-02-25 15:11:49.000000,2021.02.25,8.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n3,Tensorflow,tensorflow/tensorflow,,ml-frameworks,https://github.com/tensorflow/tensorflow,https://github.com/tensorflow/tensorflow,Apache-2.0,2015-11-07 01:19:20.000000,2021-03-04 14:08:53.000000,2021-03-04 13:59:52.000000,84132,4035.0,26691.0,155573,105914.0,An Open Source Machine Learning Framework for Everyone.,3550.0,44,True,2021-01-21 19:55:54.000000,2.4.1,116.0,tensorflow,conda-forge/tensorflow,tensorflow/tensorflow,https://www.tensorflow.org/overview,['tensorflow'],147276.0,124752.0,https://pypi.org/project/tensorflow,2021-01-21 19:38:00.000000,22524.0,4076572.0,4871308.0,https://anaconda.org/conda-forge/tensorflow,2020-07-15 22:30:18.070000,2358866.0,https://hub.docker.com/r/tensorflow/tensorflow,2021-03-04 13:45:46.893060,1856.0,48347063.0,1.0,,,,,,,,,,,,,,,,,,,,,,\n4,Matplotlib,matplotlib/matplotlib,,data-viz,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,Python-2.0,2011-02-19 03:17:12.000000,2021-03-04 10:03:40.000000,2021-03-04 07:24:26.000000,5680,1700.0,6041.0,13226,38072.0,matplotlib: plotting with Python.,1216.0,41,True,2021-01-28 08:54:50.000000,3.3.4,62.0,matplotlib,conda-forge/matplotlib,,,,412907.0,333803.0,https://pypi.org/project/matplotlib,2021-01-28 08:34:18.000000,79104.0,7141461.0,7267396.0,https://anaconda.org/conda-forge/matplotlib,2021-01-28 20:05:11.672000,8311761.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n5,pandas,pandas-dev/pandas,,data-containers,https://github.com/pandas-dev/pandas,https://github.com/pandas-dev/pandas,BSD-3-Clause,2010-08-24 01:37:33.000000,2021-03-04 14:50:32.000000,2021-03-04 14:23:10.000000,11954,3666.0,16583.0,28698,26102.0,\"Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R..\",2610.0,40,True,2021-03-02 12:03:23.000000,1.2.3,89.0,pandas,conda-forge/pandas,,,['pandas'],76784.0,,https://pypi.org/project/pandas,2021-02-09 13:20:50.000000,76784.0,18543612.0,18794668.0,https://anaconda.org/conda-forge/pandas,2021-03-02 16:53:17.820000,14495206.0,,,,,1.0,97981.0,,,,,,,,,,,,,,,,,,,,,\n6,scipy,scipy/scipy,,others,https://github.com/scipy/scipy,https://github.com/scipy/scipy,BSD-3-Clause,2011-03-09 18:52:03.000000,2021-03-04 15:01:16.000000,2021-03-03 17:44:16.000000,3578,1593.0,5768.0,7971,25119.0,\"Ecosystem of open-source software for mathematics, science, and engineering.\",1132.0,40,True,2021-02-18 03:16:09.000000,1.6.1,61.0,scipy,conda-forge/scipy,,,,397232.0,310370.0,https://pypi.org/project/scipy,2021-02-18 02:35:14.000000,86862.0,10627541.0,10854433.0,https://anaconda.org/conda-forge/scipy,2021-02-05 14:18:57.636000,12897161.0,,,,,1.0,307944.0,,,,,,,,,,,,,,,,,,,,,\n7,PyTorch,pytorch/pytorch,,ml-frameworks,https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41.000000,2021-03-04 14:01:16.000000,2021-03-04 13:36:28.000000,12201,7846.0,13120.0,46586,34104.0,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,2525.0,39,True,2020-12-10 17:19:58.000000,1.7.1,30.0,torch,pytorch/pytorch,,https://pytorch.org/docs/stable/index.html,['pytorch'],71533.0,64851.0,https://pypi.org/project/torch,2020-12-10 16:22:02.000000,6682.0,1329148.0,1586854.0,https://anaconda.org/pytorch/pytorch,2020-12-10 16:11:32.801000,10308255.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n8,Pillow,python-pillow/Pillow,,image,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000000,2021-03-04 11:23:09.000000,2021-03-04 11:23:09.000000,1589,262.0,1892.0,8260,11231.0,The friendly PIL fork (Python Imaging Library).,348.0,39,True,2021-03-02 00:42:40.000000,8.1.1,78.0,Pillow,conda-forge/pillow,,,,523646.0,412220.0,https://pypi.org/project/Pillow,2021-03-02 00:42:40.000000,111426.0,10635799.0,10760858.0,https://anaconda.org/conda-forge/pillow,2021-03-02 13:18:06.561000,7378487.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n9,PySpark,apache/spark,,ml-frameworks,https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08.000000,2021-03-04 14:11:47.000000,2021-03-04 12:42:47.000000,23409,223.0,,28969,29479.0,Apache Spark Python API.,2413.0,38,True,2021-02-19 18:08:00.000000,3.0.2,22.0,pyspark,conda-forge/pyspark,,,['spark'],1330.0,570.0,https://pypi.org/project/pyspark,2021-02-19 18:08:00.000000,760.0,4403704.0,4422934.0,https://anaconda.org/conda-forge/pyspark,2021-03-04 09:44:05.675000,923044.0,,,,,1.0,,stable/spark,,,,,,,,,,,,,,,,,,,,\n10,Celery,celery/celery,,data-pipelines,https://github.com/celery/celery,https://github.com/celery/celery,BSD-3-Clause,2009-04-24 11:31:24.000000,2021-03-04 15:02:09.000000,2021-03-04 15:02:09.000000,3955,491.0,3948.0,16807,11534.0,Asynchronous task queue/job queue based on distributed message passing.,1094.0,38,True,2020-12-16 15:41:18.000000,5.0.5,171.0,celery,conda-forge/celery,,,,77812.0,49578.0,https://pypi.org/project/celery,2020-12-16 15:34:09.000000,28234.0,1752957.0,1759823.0,https://anaconda.org/conda-forge/celery,2021-02-08 18:58:32.032000,411986.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n11,numpy,numpy/numpy,,data-containers,https://github.com/numpy/numpy,https://github.com/numpy/numpy,BSD-3-Clause,2010-09-13 23:02:39.000000,2021-03-04 13:10:01.000000,2021-03-04 01:18:39.000000,5311,2256.0,7366.0,16441,,The fundamental package for scientific computing with Python.,1267.0,38,True,2021-02-07 21:07:19.000000,1.20.1,96.0,numpy,conda-forge/numpy,,,,809358.0,639636.0,https://pypi.org/project/numpy,2021-02-07 20:27:20.000000,169722.0,28203651.0,28500648.0,https://anaconda.org/conda-forge/numpy,2021-02-10 11:44:00.243000,16876153.0,,,,,1.0,313533.0,,-4.0,,,,,,,,,,,,,,,,,,,\n12,scikit-learn,scikit-learn/scikit-learn,,ml-frameworks,https://github.com/scikit-learn/scikit-learn,https://github.com/scikit-learn/scikit-learn,BSD-3-Clause,2010-08-17 09:43:38.000000,2021-03-04 06:57:43.000000,2021-03-03 17:43:17.000000,21130,2341.0,6734.0,44758,,scikit-learn: machine learning in Python.,2167.0,37,True,2021-01-19 18:10:37.000000,0.24.1,53.0,scikit-learn,conda-forge/scikit-learn,,,['sklearn'],234385.0,196497.0,https://pypi.org/project/scikit-learn,2021-01-19 18:06:50.000000,37888.0,7790104.0,7914779.0,https://anaconda.org/conda-forge/scikit-learn,2021-01-21 23:33:46.354000,7230543.0,,,,,1.0,661.0,,,,,,,,,,,,,,,,,,,,,\n13,spaCy,explosion/spaCy,,nlp,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000000,2021-03-04 13:48:12.000000,2021-03-03 12:15:06.000000,3324,114.0,4311.0,19750,14335.0,Industrial-strength Natural Language Processing (NLP) in Python.,567.0,37,True,2021-02-14 04:44:43.000000,3.0.3,174.0,spacy,conda-forge/spacy,,,,25108.0,22042.0,https://pypi.org/project/spacy,2021-02-14 04:44:43.000000,3066.0,805226.0,835313.0,https://anaconda.org/conda-forge/spacy,2021-02-14 15:14:46.994000,1471545.0,,,,,1.0,2970.0,,,,,,,,,,,,,,,,,,,,,\n14,Seaborn,mwaskom/seaborn,,data-viz,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000000,2021-02-26 18:21:39.000000,2021-02-17 00:10:14.000000,1383,91.0,1695.0,8169,2759.0,Statistical data visualization using matplotlib.,149.0,37,True,2020-12-20 20:53:25.000000,0.11.1,23.0,seaborn,conda-forge/seaborn,,,,96436.0,83650.0,https://pypi.org/project/seaborn,2020-12-20 20:53:25.000000,12786.0,1692814.0,1730309.0,https://anaconda.org/conda-forge/seaborn,2021-01-28 11:50:33.609000,2062180.0,,,,,1.0,144.0,,,,,,,,,,,,,,,,,,,,,\n15,transformers,huggingface/transformers,,nlp,https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000000,2021-03-04 13:06:46.000000,2021-03-03 19:55:18.000000,10102,716.0,5483.0,41780,6664.0,Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.,793.0,36,True,2021-02-24 20:16:39.000000,4.3.3,52.0,transformers,conda-forge/transformers,,,\"['pytorch', 'tensorflow']\",8318.0,8190.0,https://pypi.org/project/transformers,2021-02-24 20:14:46.000000,128.0,614544.0,616021.0,https://anaconda.org/conda-forge/transformers,2021-02-09 21:34:57.119000,24348.0,,,,,1.0,1261.0,,,,,,,,,,,,,,,,,,,,,\n16,Faker,joke2k/faker,,data-loading,https://github.com/joke2k/faker,https://github.com/joke2k/faker,MIT,2012-11-12 23:00:09.000000,2021-02-25 16:53:02.000000,2021-02-25 16:53:02.000000,1377,135.0,354.0,12189,2574.0,Faker is a Python package that generates fake data for you.,391.0,36,True,2021-02-24 17:46:38.000000,6.5.0,125.0,Faker,conda-forge/faker,,,,28653.0,23941.0,https://pypi.org/project/Faker,2021-02-24 17:46:24.000000,4712.0,1501527.0,1509520.0,https://anaconda.org/conda-forge/faker,2021-02-24 18:54:31.058000,383692.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n17,networkx,networkx/networkx,,graph,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44.000000,2021-03-03 09:51:59.000000,2021-03-02 15:19:09.000000,2217,271.0,2316.0,8735,6431.0,Network Analysis in Python.,498.0,36,True,2020-08-22 20:10:33.000000,networkx-2.5,52.0,networkx,conda-forge/networkx,,,,88930.0,68112.0,https://pypi.org/project/networkx,2020-08-22 20:38:37.000000,20818.0,4236537.0,4295524.0,https://anaconda.org/conda-forge/networkx,2020-08-23 19:29:02.065000,3126327.0,,,,,1.0,51.0,,,,,,,,,,,,,,,,,,,,,\n18,torchvision,pytorch/vision,,image,https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000000,2021-03-04 13:40:11.000000,2021-03-04 13:35:47.000000,4363,452.0,1147.0,8495,1535.0,\"Datasets, Transforms and Models specific to Computer Vision.\",365.0,36,True,2020-12-10 17:10:41.000000,0.8.2,21.0,torchvision,conda-forge/torchvision,,,['pytorch'],47581.0,42969.0,https://pypi.org/project/torchvision,2020-12-10 16:27:20.000000,4612.0,464992.0,465866.0,https://anaconda.org/conda-forge/torchvision,2018-10-14 22:06:28.203000,34113.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n19,SymPy,sympy/sympy,,others,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000000,2021-03-04 13:31:56.000000,2021-03-03 18:54:16.000000,3308,4053.0,7145.0,7866,46230.0,A computer algebra system written in pure Python.,1039.0,36,True,2020-12-12 23:23:00.000000,1.7.1,36.0,sympy,conda-forge/sympy,,,,35801.0,29379.0,https://pypi.org/project/sympy,2020-12-12 23:23:00.000000,6422.0,468199.0,495521.0,https://anaconda.org/conda-forge/sympy,2021-01-08 20:38:32.429000,1321968.0,,,,,1.0,416801.0,,,,,,,,,,,,,,,,,,,,,\n20,StatsModels,statsmodels/statsmodels,,ml-frameworks,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000000,2021-03-04 08:53:43.000000,2021-03-04 00:04:00.000000,2156,2080.0,2264.0,6069,13592.0,Statsmodels: statistical modeling and econometrics in Python.,302.0,36,True,2021-02-02 11:08:49.000000,0.12.2,25.0,statsmodels,conda-forge/statsmodels,,,,44818.0,38162.0,https://pypi.org/project/statsmodels,2021-02-02 11:08:49.000000,6656.0,1854500.0,1915456.0,https://anaconda.org/conda-forge/statsmodels,2021-02-15 17:38:00.380000,3474518.0,,,,,1.0,25.0,,,,,,,,,,,,,,,,,,,,,\n21,Tensorboard,tensorflow/tensorboard,,ml-experiments,https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000000,2021-03-04 08:24:49.000000,2021-03-03 19:07:43.000000,1365,538.0,939.0,5180,4311.0,TensorFlow's Visualization Toolkit.,253.0,36,True,2021-01-14 20:49:19.000000,2.4.1,36.0,tensorboard,conda-forge/tensorboard,,,['tensorflow'],59408.0,55794.0,https://pypi.org/project/tensorboard,2021-01-14 20:49:19.000000,3614.0,3843642.0,3887112.0,https://anaconda.org/conda-forge/tensorboard,2021-01-15 08:30:57.960000,1738831.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n22,h5py,h5py/h5py,,data-containers,https://github.com/h5py/h5py,https://github.com/h5py/h5py,BSD-3-Clause,2012-09-21 00:40:02.000000,2021-03-03 12:26:13.000000,2021-03-03 11:57:55.000000,393,188.0,963.0,1485,3576.0,HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.,160.0,36,True,2021-03-03 09:29:06.000000,3.2.0,26.0,h5py,conda-forge/h5py,,,,127344.0,104408.0,https://pypi.org/project/h5py,2021-03-03 09:55:22.000000,22936.0,3687193.0,3765592.0,https://anaconda.org/conda-forge/h5py,2021-01-01 10:48:16.133000,4702888.0,,,,,1.0,886.0,,,,,,,,,,,,,,,,,,,,,\n23,Keras,keras-team/keras,,ml-frameworks,https://github.com/keras-team/keras,https://github.com/keras-team/keras,MIT,2015-03-28 00:35:42.000000,2021-03-04 05:35:54.000000,2021-03-03 21:45:52.000000,18712,3204.0,7237.0,50803,5425.0,Deep Learning for humans.,902.0,35,True,2020-06-24 22:40:48.000000,2.4.3,53.0,keras,conda-forge/keras,,https://keras.io,['tensorflow'],14996.0,,https://pypi.org/project/keras,2020-06-24 22:40:48.000000,14996.0,1384341.0,1411262.0,https://anaconda.org/conda-forge/keras,2020-06-25 19:13:34.254000,1480699.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n24,OpenAI Gym,openai/gym,,reinforcement-learning,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16.000000,2021-02-28 14:52:40.000000,2021-02-16 19:31:40.000000,6707,258.0,1063.0,23598,1242.0,A toolkit for developing and comparing reinforcement learning algorithms.,273.0,35,True,2020-12-19 00:29:36.000000,0.18.0,92.0,gym,,,,,21877.0,18315.0,https://pypi.org/project/gym,2020-12-19 00:29:36.000000,3562.0,226722.0,226722.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n25,Airflow,apache/airflow,,data-pipelines,https://github.com/apache/airflow,https://github.com/apache/airflow,Apache-2.0,2015-04-13 18:04:58.000000,2021-03-04 15:12:46.000000,2021-03-04 14:59:20.000000,8086,998.0,2091.0,20872,11808.0,\"Platform to programmatically author, schedule, and monitor workflows.\",1778.0,35,True,2021-02-08 22:50:02.000000,2.0.1,71.0,apache-airflow,conda-forge/airflow,apache/airflow,,,294.0,,https://pypi.org/project/apache-airflow,2021-02-08 22:43:55.000000,294.0,553651.0,707022.0,https://anaconda.org/conda-forge/airflow,2021-02-16 09:49:35.732000,282439.0,https://hub.docker.com/r/apache/airflow,2021-03-03 05:39:39.328189,221.0,10351012.0,1.0,96771.0,stable/airflow,,,,,,,,,,,,,,,,,,,,\n26,XGBoost,dmlc/xgboost,,ml-frameworks,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000000,2021-03-04 09:09:35.079000,2021-03-04 06:37:20.000000,7922,278.0,3680.0,20640,5241.0,\"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..\",507.0,35,True,2021-01-20 13:52:38.000000,1.3.3,53.0,xgboost,conda-forge/xgboost,,https://xgboost.readthedocs.io/en/latest/,,15908.0,14316.0,https://pypi.org/project/xgboost,2021-01-20 13:39:06.000000,1592.0,1957534.0,1986998.0,https://anaconda.org/conda-forge/xgboost,2021-03-04 09:09:35.079000,1413223.0,,,,,1.0,1924.0,,,,,,,,,,,,,,,,,,,,,\n27,LightGBM,microsoft/LightGBM,,ml-frameworks,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000000,2021-03-04 12:33:54.000000,2021-03-04 12:33:54.000000,3227,109.0,2039.0,12244,2376.0,\"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..\",210.0,35,True,2020-12-08 03:00:35.000000,3.1.1,24.0,lightgbm,conda-forge/lightgbm,,,,6422.0,5866.0,https://pypi.org/project/lightgbm,2020-12-08 03:00:35.000000,556.0,1082162.0,1095786.0,https://anaconda.org/conda-forge/lightgbm,2021-02-23 19:15:02.093000,507548.0,,,,,1.0,98208.0,,,,,,,,,,,,,,,,,,,,,\n28,gensim,RaRe-Technologies/gensim,,nlp,https://github.com/RaRe-Technologies/gensim,https://github.com/RaRe-Technologies/gensim,LGPL-2.1,2011-02-10 07:43:04.000000,2021-03-04 10:16:12.000000,2021-03-03 00:23:31.000000,3903,351.0,1259.0,11779,3849.0,Topic Modelling for Humans.,388.0,35,True,2020-05-04 05:55:15.000000,3.8.3,83.0,gensim,conda-forge/gensim,,,,25981.0,21239.0,https://pypi.org/project/gensim,2020-11-15 12:53:37.000000,4742.0,5426431.0,5440943.0,https://anaconda.org/conda-forge/gensim,2020-05-14 08:28:35.604000,607478.0,,,,,1.0,3188.0,,,,,,,,,,,,,,,,,,,,,\n29,Plotly,plotly/plotly.py,,data-viz,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000000,2021-02-27 18:25:41.000000,2021-01-14 02:04:12.000000,1753,818.0,1055.0,9010,4923.0,The interactive graphing library for Python (includes Plotly Express).,162.0,35,True,2021-01-12 17:01:21.000000,4.14.3,265.0,plotly,conda-forge/plotly,,,,4991.0,5.0,https://pypi.org/project/plotly,2021-01-12 16:12:40.000000,4982.0,2081034.0,2350162.0,https://anaconda.org/conda-forge/plotly,2021-01-12 17:11:42.117000,1235105.0,,,,,1.0,,,,plotlywidget,https://www.npmjs.com/package/plotlywidget,2021-01-12 16:09:46.133000,4.0,246672.0,,,,,,,,,,,,,,\n30,dask,dask/dask,,distributed-ml,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000000,2021-03-04 14:58:38.000000,2021-03-04 14:51:04.000000,1236,758.0,2862.0,8003,6363.0,Parallel computing with task scheduling.,429.0,35,True,2021-02-05 19:29:50.000000,2021.2.0,112.0,dask,conda-forge/dask,,,,29569.0,25653.0,https://pypi.org/project/dask,2021-02-05 19:29:50.000000,3916.0,1376378.0,1428849.0,https://anaconda.org/conda-forge/dask,2021-02-06 12:05:38.376000,3043325.0,,,,,1.0,,stable/dask,,,,,,,,,,,,,,,,,,,,\n31,Arrow,apache/arrow,,data-containers,https://github.com/apache/arrow,https://github.com/apache/arrow,Apache-2.0,2016-02-17 08:00:23.000000,2021-03-04 14:53:00.000000,2021-03-04 10:00:11.000000,1815,134.0,567.0,7464,8669.0,Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-..,634.0,35,True,2021-01-26 01:05:45.000000,3.0.0,30.0,pyarrow,conda-forge/arrow,,,,1018.0,32.0,https://pypi.org/project/pyarrow,2021-01-26 01:05:45.000000,986.0,11424146.0,11432517.0,https://anaconda.org/conda-forge/arrow,2021-03-01 02:57:56.890000,485562.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n32,joblib,joblib/joblib,,data-pipelines,https://github.com/joblib/joblib,https://github.com/joblib/joblib,BSD-3-Clause,2010-05-07 06:48:26.000000,2021-02-09 20:01:33.000000,2021-02-09 16:47:12.000000,286,291.0,354.0,2359,1367.0,Computing with Python functions.,98.0,35,True,2021-02-09 16:46:29.000000,1.0.1,100.0,joblib,conda-forge/joblib,,,,91926.0,85316.0,https://pypi.org/project/joblib,2021-02-09 16:46:29.000000,6610.0,11607465.0,11668596.0,https://anaconda.org/conda-forge/joblib,2021-02-09 19:26:28.194000,3423376.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n33,MXNet,apache/incubator-mxnet,,ml-frameworks,https://github.com/apache/incubator-mxnet,https://github.com/apache/incubator-mxnet,Apache-2.0,2015-04-30 16:21:15.000000,2021-03-04 12:42:19.000000,2021-03-01 16:25:02.000000,6805,1820.0,7581.0,19303,11532.0,\"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..\",948.0,34,True,2021-03-03 01:00:20.000000,1.8.0,977.0,mxnet,mxnet,,,['mxnet'],2298.0,1854.0,https://pypi.org/project/mxnet,2021-02-07 21:07:57.000000,444.0,109469.0,110025.0,https://anaconda.org/anaconda/mxnet,2020-02-29 00:58:31.007000,5850.0,,,,,2.0,23558.0,,1.0,,,,,,0.0,,,,,,,,,,,,,\n34,dash,plotly/dash,,data-viz,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000000,2021-03-04 15:23:22.000000,2021-03-04 15:21:51.000000,1414,405.0,562.0,14053,3543.0,\"Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.\",74.0,34,True,2021-01-20 00:00:50.000000,1.19.0,137.0,dash,conda-forge/dash,,,,19572.0,17964.0,https://pypi.org/project/dash,2021-01-19 23:50:28.000000,1608.0,168605.0,175128.0,https://anaconda.org/conda-forge/dash,2021-01-21 16:17:38.594000,221794.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n35,shap,slundberg/shap,,interpretability,https://github.com/slundberg/shap,https://github.com/slundberg/shap,MIT,2016-11-22 19:17:08.000000,2021-03-04 00:35:24.000000,2021-03-04 00:35:24.000000,1719,964.0,507.0,11918,1914.0,A game theoretic approach to explain the output of any machine learning model.,152.0,34,True,2021-03-03 18:38:33.000000,0.39.0,93.0,shap,conda-forge/shap,,,,2216.0,2080.0,https://pypi.org/project/shap,2021-01-15 21:02:34.000000,136.0,816218.0,829230.0,https://anaconda.org/conda-forge/shap,2020-12-16 19:26:39.477000,403395.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n36,nltk,nltk/nltk,,nlp,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58.000000,2021-02-25 12:21:09.000000,2021-02-10 00:34:01.000000,2434,234.0,1224.0,9671,,Suite of libraries and programs for symbolic and statistical natural language processing for English.,387.0,34,True,2019-08-20 10:55:21.000000,3.4.5,39.0,nltk,conda-forge/nltk,,,,111975.0,90983.0,https://pypi.org/project/nltk,2020-04-12 23:46:10.000000,20992.0,3799041.0,3810491.0,https://anaconda.org/conda-forge/nltk,2019-08-08 17:07:46.504000,629792.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n37,Theano,Theano/Theano,,ml-frameworks,https://github.com/Theano/Theano,https://github.com/Theano/Theano,BSD-3-Clause,2011-08-10 03:48:06.000000,2021-03-02 07:51:50.000000,2021-03-02 07:51:50.000000,2501,674.0,2083.0,9364,28124.0,\"Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-..\",383.0,34,True,2020-07-27 16:13:54.000000,1.0.5,45.0,theano,conda-forge/theano,,,,15835.0,10361.0,https://pypi.org/project/theano,2020-07-27 16:13:54.000000,5474.0,117767.0,141757.0,https://anaconda.org/conda-forge/theano,2021-01-21 21:14:21.756000,1343447.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n38,xlrd,python-excel/xlrd,,data-loading,https://github.com/python-excel/xlrd,https://github.com/python-excel/xlrd,BSD-3-Clause,2012-03-07 04:50:48.000000,2021-01-09 20:35:27.639000,2020-12-12 15:24:25.000000,406,3.0,,1862,502.0,Please use openpyxl where you can...,50.0,34,True,2020-12-11 10:14:20.000000,2.0.1,24.0,xlrd,conda-forge/xlrd,,,,78817.0,65243.0,https://pypi.org/project/xlrd,2020-12-11 10:14:20.000000,13574.0,3911767.0,3937674.0,https://anaconda.org/conda-forge/xlrd,2021-01-09 20:35:27.639000,1243556.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n39,dask.distributed,dask/distributed,,distributed-ml,https://github.com/dask/distributed,https://github.com/dask/distributed,BSD-3-Clause,2015-09-13 18:42:29.000000,2021-03-04 02:41:12.000000,2021-03-04 02:37:28.000000,511,741.0,1280.0,1152,3816.0,A distributed task scheduler for Dask.,228.0,34,True,2021-02-05 19:40:27.000000,2021.2.0,143.0,distributed,conda-forge/distributed,,,,18685.0,16907.0,https://pypi.org/project/distributed,2021-02-05 19:40:27.000000,1778.0,964345.0,1029967.0,https://anaconda.org/conda-forge/distributed,2021-02-06 03:40:27.263000,3806095.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n40,PyFlink,apache/flink,,ml-frameworks,https://github.com/apache/flink,https://github.com/apache/flink,Apache-2.0,2014-06-07 07:00:10.000000,2021-03-04 14:19:34.000000,2021-03-04 13:15:28.000000,8542,499.0,,15662,25908.0,Apache Flink Python API.,1202.0,33,True,2021-01-15 01:51:44.000000,1.12.1,13.0,apache-flink,,,,,263.0,263.0,https://pypi.org/project/apache-flink,2021-01-15 01:51:44.000000,0.0,1542.0,1542.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n41,Bokeh,bokeh/bokeh,,data-viz,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000000,2021-03-04 13:34:55.000000,2021-03-03 05:53:55.000000,3659,628.0,5792.0,14778,,\"Interactive Data Visualization in the browser, from Python.\",550.0,33,True,2021-02-24 19:44:29.000000,2.3.0,90.0,bokeh,conda-forge/bokeh,,,,36846.0,30974.0,https://pypi.org/project/bokeh,2021-02-24 19:44:29.000000,5872.0,586862.0,669389.0,https://anaconda.org/conda-forge/bokeh,2021-03-01 11:07:11.701000,3878786.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n42,pytorch-lightning,PyTorchLightning/pytorch-lightning,,ml-frameworks,https://github.com/PyTorchLightning/pytorch-lightning,https://github.com/PyTorchLightning/pytorch-lightning,Apache-2.0,2019-03-31 00:45:57.000000,2021-03-04 13:50:49.000000,2021-03-04 09:26:54.000000,1412,300.0,2687.0,12380,4483.0,\"The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.\",400.0,33,True,2021-02-24 17:24:53.000000,1.2.1,155.0,pytorch-lightning,conda-forge/pytorch-lightning,,,['pytorch'],2090.0,2076.0,https://pypi.org/project/pytorch-lightning,2021-02-24 17:24:53.000000,14.0,92491.0,98618.0,https://anaconda.org/conda-forge/pytorch-lightning,2021-02-24 18:57:18.692000,55106.0,,,,,2.0,116.0,,,,,,,,,,,,,,,,,,,,,\n43,onnx,onnx/onnx,,model-serialisation,https://github.com/onnx/onnx,https://github.com/onnx/onnx,Apache-2.0,2017-09-07 04:53:45.000000,2021-03-04 05:06:52.000000,2021-02-24 23:37:03.000000,1817,515.0,967.0,9851,1687.0,Open standard for machine learning interoperability.,192.0,33,True,2021-01-30 01:25:24.000000,1.8.1,20.0,onnx,conda-forge/onnx,,,,2918.0,2622.0,https://pypi.org/project/onnx,2021-01-29 23:57:20.000000,296.0,243900.0,249077.0,https://anaconda.org/conda-forge/onnx,2021-02-25 19:54:27.777000,196741.0,,,,,1.0,10646.0,,,,,,,,,,,,,,,,,,,,,\n44,pydeck,visgl/deck.gl,,geospatial-data,https://github.com/visgl/deck.gl,https://github.com/visgl/deck.gl,MIT,2015-12-15 08:38:29.000000,2021-03-03 18:13:21.000000,2021-02-27 19:00:52.000000,1520,85.0,1993.0,8493,3585.0,WebGL2 powered geospatial visualization layers.,156.0,33,True,2021-02-25 21:59:29.561000,8.4.9,458.0,pydeck,conda-forge/pydeck,,,['jupyter'],2005.0,1443.0,https://pypi.org/project/pydeck,2021-02-12 18:57:45.000000,2.0,92927.0,286334.0,https://anaconda.org/conda-forge/pydeck,2021-02-12 20:05:23.366000,17291.0,,,,,1.0,,,,deck.gl,https://www.npmjs.com/package/deck.gl,2021-02-23 07:47:42.235000,560.0,192077.0,,,,,,,,,,,,,,\n45,rq,rq/rq,,data-pipelines,https://github.com/rq/rq,https://github.com/rq/rq,BSD-3-Clause,2011-11-14 10:53:48.000000,2021-03-02 21:37:32.000000,2021-02-24 11:33:58.000000,1192,139.0,683.0,7558,1555.0,Simple job queues for Python.,228.0,33,True,2020-11-29 09:48:18.000000,1.7.0,63.0,rq,conda-forge/rq,,,,10719.0,7395.0,https://pypi.org/project/rq,2020-11-29 09:47:08.000000,3324.0,210093.0,210913.0,https://anaconda.org/conda-forge/rq,2020-11-29 15:11:15.371000,45953.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n46,scikit-image,scikit-image/scikit-image,,image,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,BSD-2-Clause,2011-07-07 22:07:20.000000,2021-03-04 13:53:39.000000,2021-03-03 17:59:16.000000,1768,667.0,1494.0,4222,,Image processing in Python.,483.0,33,True,2021-01-19 08:17:34.000000,0.18.1,35.0,scikit-image,conda-forge/scikit-image,,,,76912.0,62138.0,https://pypi.org/project/scikit-image,2020-12-23 06:36:46.000000,14774.0,1240088.0,1278315.0,https://anaconda.org/conda-forge/scikit-image,2021-01-21 20:53:16.554000,2217182.0,,,,,1.0,,,1.0,,,,,,,,,,,,,,,,,,,\n47,Fastai,fastai/fastai,,ml-frameworks,https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000000,2021-02-24 10:11:53.000000,2021-02-23 22:07:48.000000,6947,74.0,1321.0,20527,1681.0,The fastai deep learning library.,472.0,32,True,2021-02-22 04:01:24.000000,2.2.7,117.0,fastai,,,,['pytorch'],368.0,,https://pypi.org/project/fastai,2021-02-21 04:12:12.000000,368.0,112098.0,112098.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n48,Ray,ray-project/ray,,distributed-ml,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000000,2021-03-04 13:44:03.000000,2021-03-04 10:54:10.000000,2417,1348.0,4848.0,15061,7436.0,\"An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged..\",446.0,32,True,2021-02-13 01:42:06.000000,ray-1.2.0,44.0,ray,,,,,1839.0,1679.0,https://pypi.org/project/ray,2021-02-13 01:38:33.000000,160.0,139900.0,139900.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n49,luigi,spotify/luigi,,data-pipelines,https://github.com/spotify/luigi,https://github.com/spotify/luigi,Apache-2.0,2012-09-20 15:06:38.000000,2021-03-01 00:36:42.000000,2021-02-23 17:07:44.000000,2229,70.0,840.0,14272,3948.0,\"Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution,..\",551.0,32,True,2020-09-23 11:57:43.000000,3.0.2,72.0,luigi,luigi,,,,2019.0,1343.0,https://pypi.org/project/luigi,2020-09-23 11:57:12.000000,676.0,334932.0,335040.0,https://anaconda.org/anaconda/luigi,2021-02-20 16:21:48.759000,6607.0,,,,,2.0,,stable/luigi,-1.0,,,,,,,,,,,,,,,,,,,\n50,jax,google/jax,,ml-frameworks,https://github.com/google/jax,https://github.com/google/jax,Apache-2.0,2018-10-25 21:25:02.000000,2021-03-04 14:14:30.000000,2021-03-04 13:15:17.000000,997,742.0,1461.0,11709,7127.0,\"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.\",262.0,32,True,2021-01-27 04:52:22.000000,0.2.9,88.0,jax,conda-forge/jaxlib,,,,1231.0,1185.0,https://pypi.org/project/jax,2021-01-27 04:52:22.000000,46.0,68326.0,72509.0,https://anaconda.org/conda-forge/jaxlib,2021-02-12 21:37:49.873000,83679.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n51,dlib,davisking/dlib,,ml-frameworks,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000000,2021-03-03 12:23:38.000000,2021-02-20 12:22:58.000000,2876,47.0,1823.0,9939,7918.0,A toolkit for making real world machine learning and data analysis applications in C++.,164.0,32,False,2020-12-04 19:23:04.000000,19.21.1,28.0,dlib,conda-forge/dlib,,,,9948.0,8590.0,https://pypi.org/project/dlib,2020-12-04 19:23:04.000000,1358.0,39936.0,45421.0,https://anaconda.org/conda-forge/dlib,2021-01-14 21:24:20.585000,277154.0,,,,,2.0,24400.0,,,,,,,,,,,,,,,,,,,,,\n52,AllenNLP,allenai/allennlp,,nlp,https://github.com/allenai/allennlp,https://github.com/allenai/allennlp,Apache-2.0,2017-05-15 15:52:41.000000,2021-03-04 01:12:52.000000,2021-03-04 01:12:52.000000,1992,111.0,2180.0,9726,2357.0,\"An open-source NLP research library, built on PyTorch.\",234.0,32,True,2021-03-01 23:30:13.000000,1.5.0,175.0,allennlp,,,,['pytorch'],1703.0,1469.0,https://pypi.org/project/allennlp,2021-02-24 21:30:54.000000,234.0,13353.0,13353.0,,,,,,,,1.0,36.0,,,,,,,,,,,,,,,,,,,,,\n53,mlflow,mlflow/mlflow,,ml-experiments,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000000,2021-03-04 14:43:36.000000,2021-03-03 08:48:49.000000,1903,726.0,1053.0,8525,1919.0,Open source platform for the machine learning lifecycle.,284.0,32,True,2021-03-02 01:00:55.000000,1.14.1,42.0,mlflow,conda-forge/mlflow,,,,154.0,,https://pypi.org/project/mlflow,2021-03-01 23:55:56.000000,154.0,1932374.0,1942528.0,https://anaconda.org/conda-forge/mlflow,2021-03-02 11:17:56.478000,233555.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n54,PyMC3,pymc-devs/pymc3,,probabilistics,https://github.com/pymc-devs/pymc3,https://github.com/pymc-devs/pymc3,Apache-2.0,2009-05-05 09:43:50.000000,2021-03-04 10:34:12.000000,2021-03-03 15:08:50.000000,1346,148.0,2005.0,5598,7675.0,Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano.,308.0,32,True,2021-02-12 18:40:12.000000,3.11.1,32.0,pymc3,conda-forge/pymc3,,,,2409.0,2123.0,https://pypi.org/project/pymc3,2021-02-12 18:40:12.000000,286.0,91669.0,96446.0,https://anaconda.org/conda-forge/pymc3,2021-02-14 13:44:24.828000,253144.0,,,,,1.0,150.0,,,,,,,,,,,,,,,,,,,,,\n55,folium,python-visualization/folium,,geospatial-data,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000000,2021-02-08 13:46:29.000000,2021-01-18 17:35:27.000000,1923,154.0,690.0,5168,1473.0,Python Data. Leaflet.js Maps.,120.0,32,True,2021-01-18 17:29:40.000000,0.12.1,25.0,folium,conda-forge/folium,,,,9728.0,8760.0,https://pypi.org/project/folium,2021-01-18 17:29:40.000000,968.0,155538.0,161088.0,https://anaconda.org/conda-forge/folium,2021-01-06 21:06:10.173000,333028.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n56,Beam,apache/beam,,data-pipelines,https://github.com/apache/beam,https://github.com/apache/beam,Apache-2.0,2016-02-02 08:00:06.000000,2021-03-04 14:05:16.000000,2021-03-04 03:47:57.000000,2881,136.0,,4626,30917.0,\"Unified programming model to define and execute data processing pipelines, including ETL, batch and stream processing.\",1022.0,32,True,2021-02-22 21:19:14.000000,2.28.0,30.0,apache-beam,,,,,186.0,,https://pypi.org/project/apache-beam,2021-01-08 20:08:17.000000,186.0,1168024.0,1168024.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n57,xmltodict,martinblech/xmltodict,,data-loading,https://github.com/martinblech/xmltodict,https://github.com/martinblech/xmltodict,MIT,2012-04-17 14:38:21.000000,2021-02-08 17:46:25.000000,2020-04-26 05:15:03.000000,418,70.0,135.0,4294,205.0,Python module that makes working with XML feel like you are working with JSON.,41.0,32,True,2019-02-11 07:00:26.000000,0.12.0,27.0,xmltodict,conda-forge/xmltodict,,,,30247.0,22013.0,https://pypi.org/project/xmltodict,2019-02-11 07:00:26.000000,8234.0,3303228.0,3316095.0,https://anaconda.org/conda-forge/xmltodict,2019-02-11 11:53:14.803000,707723.0,,,,,1.0,,,1.0,,,,,,,,,,,,,,,,,,,\n58,geopy,geopy/geopy,,geospatial-data,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000000,2021-02-20 06:25:44.000000,2020-12-27 16:15:28.000000,535,25.0,213.0,3232,1004.0,Geocoding library for Python.,117.0,32,True,2020-12-27 13:15:23.000000,2.1.0,57.0,geopy,conda-forge/geopy,,,,24456.0,17212.0,https://pypi.org/project/geopy,2020-12-27 13:12:21.000000,7244.0,2768701.0,2777322.0,https://anaconda.org/conda-forge/geopy,2020-12-27 14:22:55.127000,517318.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n59,tensorflow-hub,tensorflow/hub,,tensorflow-utils,https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42.000000,2021-03-04 09:49:09.000000,2021-03-04 09:49:06.000000,1456,45.0,521.0,2737,845.0,A library for transfer learning by reusing parts of TensorFlow models.,67.0,32,True,2021-01-06 16:20:30.000000,0.11.0,14.0,tensorflow-hub,conda-forge/tensorflow-hub,,,['tensorflow'],5906.0,5592.0,https://pypi.org/project/tensorflow-hub,2021-01-06 16:20:30.000000,314.0,620552.0,622061.0,https://anaconda.org/conda-forge/tensorflow-hub,2020-08-24 16:43:36.561000,49803.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n60,TensorFlow Datasets,tensorflow/datasets,,data-loading,https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000000,2021-03-04 14:41:22.000000,2021-03-04 14:01:50.000000,955,396.0,547.0,2694,3828.0,\"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...\",190.0,32,True,2021-01-07 09:50:58.000000,4.2.0,21.0,tensorflow-datasets,,,,['tensorflow'],3923.0,3821.0,https://pypi.org/project/tensorflow-datasets,2021-01-07 09:50:58.000000,102.0,374297.0,374297.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n61,Thinc,explosion/thinc,,ml-frameworks,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59.000000,2021-03-04 13:22:51.000000,2021-03-03 09:45:34.000000,197,11.0,90.0,2207,4910.0,\"A refreshing functional take on deep learning, compatible with your favorite libraries.\",36.0,32,True,2021-01-24 04:05:27.000000,8.0.1,188.0,thinc,conda-forge/thinc,,,,12662.0,11524.0,https://pypi.org/project/thinc,2021-01-24 04:05:27.000000,1138.0,736165.0,754617.0,https://anaconda.org/conda-forge/thinc,2021-02-03 12:19:56.063000,904196.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n62,Shapely,Toblerity/Shapely,,geospatial-data,https://github.com/Toblerity/Shapely,https://github.com/Toblerity/Shapely,BSD-3-Clause,2011-12-31 19:43:11.000000,2021-03-04 00:27:13.000000,2021-03-03 21:49:44.000000,388,118.0,607.0,2170,1499.0,Manipulation and analysis of geometric objects.,109.0,32,True,2020-08-20 23:31:01.000000,1.7.1,100.0,shapely,conda-forge/shapely,,,,22131.0,16673.0,https://pypi.org/project/shapely,2021-03-04 00:27:13.000000,5458.0,1588899.0,1621489.0,https://anaconda.org/conda-forge/shapely,2021-02-12 15:19:51.518000,2118389.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n63,xarray,pydata/xarray,,data-containers,https://github.com/pydata/xarray,https://github.com/pydata/xarray,Apache-2.0,2013-09-30 17:21:10.000000,2021-03-04 14:26:20.000000,2021-03-04 00:45:43.000000,638,783.0,1933.0,1960,3547.0,N-D labeled arrays and datasets in Python.,299.0,32,True,2021-02-26 06:45:07.000000,0.17.0,56.0,xarray,conda-forge/xarray,,,,6452.0,5320.0,https://pypi.org/project/xarray,2021-02-26 06:36:47.000000,1132.0,212004.0,253700.0,https://anaconda.org/conda-forge/xarray,2021-02-26 13:38:06.610000,2501778.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n64,python-magic,ahupp/python-magic,,data-loading,https://github.com/ahupp/python-magic,https://github.com/ahupp/python-magic,MIT,2010-03-31 22:40:33.000000,2021-02-18 18:34:43.000000,2021-02-17 04:01:28.000000,217,29.0,132.0,1835,279.0,A python wrapper for libmagic.,49.0,32,True,2021-02-17 06:19:13.000000,0.4.22,22.0,python-magic,conda-forge/python-magic,,,,17449.0,12317.0,https://pypi.org/project/python-magic,2021-02-17 06:19:13.000000,5132.0,1117557.0,1119216.0,https://anaconda.org/conda-forge/python-magic,2020-12-24 22:42:00.639000,77997.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n65,DeepSpeech,mozilla/DeepSpeech,,audio,https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53.000000,2021-03-04 14:27:27.000000,2021-03-03 14:45:25.000000,3089,100.0,1851.0,16690,3366.0,\"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..\",158.0,31,True,2020-12-10 17:22:09.000000,0.9.3,100.0,deepspeech,,,,['tensorflow'],468.0,410.0,https://pypi.org/project/deepspeech,2020-12-19 10:05:12.000000,58.0,5406.0,20516.0,,,,,,,,1.0,453318.0,,,,,,,,,,,,,,,,,,,,,\n66,fairseq,pytorch/fairseq,,nlp,https://github.com/pytorch/fairseq,https://github.com/pytorch/fairseq,MIT,2017-08-29 16:26:12.000000,2021-03-04 10:29:30.000000,2021-03-04 05:17:29.000000,2892,667.0,1829.0,11388,1814.0,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,314.0,31,True,2021-01-05 20:26:45.000000,0.10.2,13.0,fairseq,,,,['pytorch'],333.0,313.0,https://pypi.org/project/fairseq,2021-01-05 20:26:45.000000,20.0,9258.0,9261.0,,,,,,,,1.0,106.0,,,,,,,,,,,,,,,,,,,,,\n67,tensor2tensor,tensorflow/tensor2tensor,,tensorflow-utils,https://github.com/tensorflow/tensor2tensor,https://github.com/tensorflow/tensor2tensor,Apache-2.0,2017-06-15 16:57:39.000000,2021-02-26 00:48:19.000000,2021-02-25 19:35:56.000000,2813,553.0,664.0,11002,4347.0,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,231.0,31,True,2020-06-17 16:15:36.000000,1.15.7,79.0,tensor2tensor,,,,['tensorflow'],1079.0,915.0,https://pypi.org/project/tensor2tensor,2020-06-17 16:15:36.000000,164.0,38118.0,38118.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n68,ChatterBot,gunthercox/ChatterBot,,nlp,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00.000000,2021-02-22 16:29:16.000000,2020-08-20 21:16:14.000000,3700,246.0,1227.0,10905,1847.0,\"ChatterBot is a machine learning, conversational dialog engine for creating chat bots.\",103.0,31,True,2020-08-22 18:42:43.000000,1.0.8,86.0,chatterbot,,,,,3888.0,3208.0,https://pypi.org/project/chatterbot,2020-08-22 18:40:36.000000,680.0,24046.0,24046.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n69,imgaug,aleju/imgaug,,image,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33.000000,2020-10-19 12:23:22.000000,2020-06-01 14:58:26.000000,1965,222.0,205.0,10769,2913.0,Image augmentation for machine learning experiments.,36.0,31,True,2020-02-06 06:18:40.000000,0.4.0,11.0,imgaug,conda-forge/imgaug,,,,6026.0,5470.0,https://pypi.org/project/imgaug,2020-02-05 20:54:22.000000,556.0,94414.0,96058.0,https://anaconda.org/conda-forge/imgaug,2020-02-14 16:06:53.525000,34532.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n70,pyecharts,pyecharts/pyecharts,,data-viz,https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000000,2021-02-08 07:14:13.000000,2021-01-19 10:14:13.000000,2360,26.0,1355.0,10641,1512.0,Python Echarts Plotting Library.,30.0,31,True,2020-10-29 15:14:08.000000,1.9.0,66.0,pyecharts,,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,['jupyter'],1784.0,1502.0,https://pypi.org/project/pyecharts,2020-10-29 15:14:08.000000,282.0,13437.0,13437.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n71,wordcloud,amueller/word_cloud,,data-viz,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59.000000,2021-03-01 23:14:14.000000,2021-03-01 23:14:14.000000,2025,97.0,349.0,7912,543.0,A little word cloud generator in Python.,62.0,31,True,2020-11-11 21:41:02.000000,1.8.1,16.0,wordcloud,conda-forge/wordcloud,,,,10311.0,9207.0,https://pypi.org/project/wordcloud,2020-11-11 21:41:02.000000,1104.0,182071.0,185579.0,https://anaconda.org/conda-forge/wordcloud,2021-01-14 18:03:24.960000,192954.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n72,Altair,altair-viz/altair,,data-viz,https://github.com/altair-viz/altair,https://github.com/altair-viz/altair,BSD-3-Clause,2015-09-19 03:14:04.000000,2021-02-24 22:24:08.000000,2021-02-24 21:20:32.000000,580,292.0,1303.0,6453,3063.0,Declarative statistical visualization library for Python.,126.0,31,True,2020-04-01 13:29:16.000000,4.1.0,26.0,altair,conda-forge/altair,,,,8895.0,8525.0,https://pypi.org/project/altair,2020-04-01 13:23:10.000000,370.0,479589.0,490913.0,https://anaconda.org/conda-forge/altair,2020-04-01 16:49:36.519000,634185.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n73,Catboost,catboost/catboost,,ml-frameworks,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000000,2021-03-04 13:59:33.000000,2021-03-04 13:59:29.000000,861,319.0,1060.0,5735,15060.0,\"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..\",744.0,31,True,2020-12-27 09:12:53.000000,0.24.4,91.0,catboost,conda-forge/catboost,,,,162.0,,https://pypi.org/project/catboost,2020-12-27 06:58:33.000000,162.0,697913.0,716581.0,https://anaconda.org/conda-forge/catboost,2020-12-29 11:38:06.128000,594058.0,,,,,2.0,50271.0,,,,,,,,,,,,,,,,,,,,,\n74,Chainer,chainer/chainer,,ml-frameworks,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37.000000,2021-02-17 11:20:21.000000,2021-02-17 11:20:21.000000,1370,18.0,2019.0,5533,30575.0,A flexible framework of neural networks for deep learning.,318.0,31,True,2021-01-13 10:14:54.000000,7.0.0.post1,109.0,chainer,,,,,2672.0,1930.0,https://pypi.org/project/chainer,2021-01-13 09:29:55.000000,742.0,12590.0,12590.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n75,imbalanced-learn,scikit-learn-contrib/imbalanced-learn,,sklearn-utils,https://github.com/scikit-learn-contrib/imbalanced-learn,https://github.com/scikit-learn-contrib/imbalanced-learn,MIT,2014-08-16 05:08:26.000000,2021-03-02 21:30:35.000000,2021-03-02 21:30:35.000000,1065,30.0,421.0,5070,736.0,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,55.0,31,True,2021-02-18 14:00:33.000000,0.8.0,27.0,imbalanced-learn,conda-forge/imbalanced-learn,,,['sklearn'],4563.0,4283.0,https://pypi.org/project/imbalanced-learn,2021-02-18 13:50:00.000000,280.0,604898.0,607633.0,https://anaconda.org/conda-forge/imbalanced-learn,2021-02-18 15:40:00.937000,112152.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n76,CuPy,cupy/cupy,,gpu-utilities,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000000,2021-03-04 13:28:59.000000,2021-03-04 09:56:00.000000,437,356.0,933.0,4861,20939.0,A NumPy-compatible array library accelerated by CUDA.,254.0,31,True,2021-02-26 07:53:12.000000,8.5.0,89.0,cupy,conda-forge/cupy,cupy/cupy,,,865.0,673.0,https://pypi.org/project/cupy,2021-02-26 07:06:23.000000,192.0,22234.0,47533.0,https://anaconda.org/conda-forge/cupy,2021-03-01 21:41:15.959000,410945.0,https://hub.docker.com/r/cupy/cupy,2021-03-04 10:03:47.330371,6.0,48800.0,1.0,9241.0,,,,,,,,,,,,,,,,,,,,,\n77,sentencepiece,google/sentencepiece,,nlp,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000000,2021-02-26 03:20:40.000000,2021-02-25 16:25:37.000000,657,31.0,396.0,4857,667.0,Unsupervised text tokenizer for Neural Network-based text generation.,50.0,31,True,2021-01-10 06:29:42.000000,0.1.95,30.0,sentencepiece,conda-forge/sentencepiece,,,,6367.0,6127.0,https://pypi.org/project/sentencepiece,2021-01-10 06:29:42.000000,240.0,795430.0,800004.0,https://anaconda.org/conda-forge/sentencepiece,2021-02-09 05:49:50.247000,33704.0,,,,,1.0,11215.0,,,,,,,,,,,,,,,,,,,,,\n78,Optuna,optuna/optuna,,hyperopt,https://github.com/optuna/optuna,https://github.com/optuna/optuna,MIT,2018-02-21 06:12:56.000000,2021-03-04 14:39:09.000000,2021-03-04 11:33:22.000000,471,203.0,535.0,4185,9328.0,A hyperparameter optimization framework.,130.0,31,True,2021-02-01 06:18:14.000000,2.5.0,35.0,optuna,conda-forge/optuna,,,,1072.0,1020.0,https://pypi.org/project/optuna,2021-02-01 06:18:14.000000,52.0,179402.0,180623.0,https://anaconda.org/conda-forge/optuna,2021-02-02 01:24:13.010000,19536.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n79,Tablib,jazzband/tablib,,data-loading,https://github.com/jazzband/tablib,https://github.com/jazzband/tablib,MIT,2011-03-28 02:36:50.000000,2021-03-01 12:38:44.000000,2021-03-01 12:38:44.000000,560,34.0,198.0,3875,1124.0,\"Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c.\",111.0,31,True,2020-12-05 14:56:28.000000,3.0.0,38.0,tablib,conda-forge/tablib,,,,11878.0,9520.0,https://pypi.org/project/tablib,2020-12-05 14:56:28.000000,2358.0,417242.0,418355.0,https://anaconda.org/conda-forge/tablib,2020-12-05 16:40:48.469000,57881.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n80,tensorflow-probability,tensorflow/probability,,probabilistics,https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000000,2021-03-03 22:59:42.000000,2021-03-03 22:59:39.000000,853,432.0,554.0,3245,10316.0,Probabilistic reasoning and statistical analysis in TensorFlow.,405.0,31,True,2020-12-29 18:40:25.000000,0.12.1,35.0,tensorflow-probability,conda-forge/tensorflow-probability,,,['tensorflow'],253.0,1.0,https://pypi.org/project/tensorflow-probability,2020-12-29 17:46:08.000000,252.0,237891.0,239143.0,https://anaconda.org/conda-forge/tensorflow-probability,2021-02-10 20:08:40.633000,31320.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n81,GeoPandas,geopandas/geopandas,,geospatial-data,https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000000,2021-03-04 14:16:32.000000,2021-03-04 09:44:18.000000,560,302.0,704.0,2490,1367.0,Python tools for geographic data.,135.0,31,True,2021-02-28 21:10:46.000000,0.9.0,37.0,geopandas,conda-forge/geopandas,,,['pandas'],8577.0,7411.0,https://pypi.org/project/geopandas,2021-02-28 21:10:43.000000,1166.0,387602.0,402236.0,https://anaconda.org/conda-forge/geopandas,2021-03-01 09:07:56.799000,877102.0,,,,,2.0,928.0,,,,,,,,,,,,,,,,,,,,,\n82,numexpr,pydata/numexpr,,data-containers,https://github.com/pydata/numexpr,https://github.com/pydata/numexpr,MIT,2013-11-30 22:33:48.000000,2021-03-03 18:33:15.000000,2021-03-03 18:33:11.000000,166,51.0,251.0,1548,686.0,\"Fast numerical array expression evaluator for Python, NumPy, PyTables, pandas, bcolz and more.\",57.0,31,True,2021-03-03 18:13:19.000000,2.7.3,40.0,numexpr,conda-forge/numexpr,,,,5482.0,,https://pypi.org/project/numexpr,2021-03-03 18:13:19.000000,5482.0,468430.0,509211.0,https://anaconda.org/conda-forge/numexpr,2021-01-13 23:35:13.025000,2243004.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n83,TF Addons,tensorflow/addons,,tensorflow-utils,https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17.000000,2021-03-03 08:44:25.000000,2021-03-03 08:44:24.000000,421,172.0,628.0,1215,1343.0,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,151.0,31,True,2021-01-30 13:59:33.000000,0.12.1,25.0,tensorflow-addons,,,,['tensorflow'],2389.0,2371.0,https://pypi.org/project/tensorflow-addons,2021-01-30 13:59:33.000000,18.0,300310.0,300310.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n84,imageio,imageio/imageio,,image,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000000,2021-03-04 12:15:22.000000,2021-02-24 18:49:00.000000,170,68.0,274.0,839,1135.0,Python library for reading and writing image data.,76.0,31,True,2020-07-10 07:45:22.000000,2.9.0,31.0,imageio,conda-forge/imageio,,,,41040.0,37202.0,https://pypi.org/project/imageio,2020-07-06 13:20:41.000000,3838.0,1340094.0,1375029.0,https://anaconda.org/conda-forge/imageio,2020-07-06 14:13:25.518000,1746787.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n85,jieba,fxsjy/jieba,,chinese-nlp,https://github.com/fxsjy/jieba,https://github.com/fxsjy/jieba,MIT,2012-09-29 07:52:01.000000,2020-12-05 18:32:32.000000,2020-02-15 08:33:35.000000,6065,592.0,197.0,25629,523.0,Chinese Words Segmentation Utilities.,48.0,30,False,2020-01-20 14:27:23.000000,0.42.1,32.0,jieba,conda-forge/jieba,,,,11917.0,9401.0,https://pypi.org/project/jieba,2020-01-20 14:27:23.000000,2516.0,110479.0,111942.0,https://anaconda.org/conda-forge/jieba,2020-03-25 20:57:40.090000,68768.0,,,,,1.0,,,-1.0,,,,,,,,,,,,,,,,,,,\n86,fastText,facebookresearch/fastText,,nlp,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000000,2021-01-15 15:28:41.000000,2020-07-18 00:20:40.000000,4310,439.0,592.0,22282,379.0,Library for fast text representation and classification.,58.0,30,True,2020-04-28 09:54:50.000000,0.9.2,35.0,fasttext,conda-forge/fasttext,,,,1732.0,1542.0,https://pypi.org/project/fasttext,2020-04-28 09:54:50.000000,190.0,102141.0,102579.0,https://anaconda.org/conda-forge/fasttext,2020-10-12 14:55:45.199000,17997.0,,,,,1.0,,,3.0,,,,,,,,,,,,,,,,,,,\n87,PaddlePaddle,PaddlePaddle/Paddle,,ml-frameworks,https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000000,2021-03-04 14:05:02.000000,2021-03-04 12:48:04.000000,3581,2401.0,10500.0,14449,15069.0,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,501.0,30,True,2021-02-01 02:31:35.000000,2.0.0,42.0,paddlepaddle,,,,['paddle'],48.0,32.0,https://pypi.org/project/paddlepaddle,2021-01-25 11:50:59.000000,16.0,4347.0,4624.0,,,,,,,,2.0,15250.0,,,,,,,,,,,,,,,,,,,,,\n88,zipline,quantopian/zipline,,financial-data,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29.000000,2021-02-14 16:26:07.000000,2020-10-14 16:36:49.000000,3853,334.0,647.0,13464,6226.0,\"Zipline, a Pythonic Algorithmic Trading Library.\",151.0,30,True,2020-10-05 15:46:20.429000,1.4.1,30.0,zipline,,,,,837.0,679.0,https://pypi.org/project/zipline,2020-10-05 15:46:20.429000,158.0,3167.0,3167.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n89,flair,flairNLP/flair,,nlp,https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,MIT,2018-06-11 11:04:18.000000,2021-03-04 13:29:28.000000,2021-03-03 13:56:02.000000,1512,99.0,1358.0,10004,3095.0,A very simple framework for state-of-the-art Natural Language Processing (NLP).,164.0,30,True,2020-12-01 19:35:00.000000,0.7,19.0,flair,,,,['pytorch'],690.0,642.0,https://pypi.org/project/flair,2020-12-01 19:02:38.000000,48.0,40960.0,40960.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n90,TFlearn,tflearn/tflearn,,ml-frameworks,https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,MIT,2016-03-31 12:05:53.000000,2021-01-25 09:41:59.000000,2020-11-30 04:34:51.000000,2431,565.0,361.0,9521,613.0,Deep learning library featuring a higher-level API for TensorFlow.,128.0,30,True,2020-11-11 19:26:11.000000,0.5.0,8.0,tflearn,,,,['tensorflow'],4010.0,3048.0,https://pypi.org/project/tflearn,2020-11-11 19:13:47.000000,962.0,7485.0,7485.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n91,Vowpal Wabbit,VowpalWabbit/vowpal_wabbit,,ml-frameworks,https://github.com/VowpalWabbit/vowpal_wabbit,https://github.com/VowpalWabbit/vowpal_wabbit,BSD-3-Clause,2009-07-31 19:36:58.000000,2021-03-04 13:41:58.000000,2021-03-04 03:33:07.000000,1726,172.0,869.0,7470,9037.0,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,298.0,30,True,2021-01-27 21:17:28.000000,8.9.1,13.0,vowpalwabbit,,,,,118.0,102.0,https://pypi.org/project/vowpalwabbit,2020-11-12 14:41:09.000000,16.0,11534.0,11534.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n92,DVC,iterative/dvc,,ml-experiments,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000000,2021-03-04 10:37:19.000000,2021-03-04 10:37:19.000000,696,515.0,2221.0,7429,6371.0,Data Version Control | Git for Data & Models.,208.0,30,True,2021-03-03 15:38:38.000000,2.0.1,299.0,dvc,conda-forge/dvc,,,,654.0,608.0,https://pypi.org/project/dvc,2021-03-03 10:24:14.000000,46.0,48617.0,75485.0,https://anaconda.org/conda-forge/dvc,2021-03-03 19:23:52.962000,504050.0,,,,,1.0,19999.0,,,,,,,,,dvc,dvc,dvc,,,,,,,,,,\n93,Prefect,PrefectHQ/prefect,,data-pipelines,https://github.com/PrefectHQ/prefect,https://github.com/PrefectHQ/prefect,Apache-2.0,2018-06-29 21:59:26.000000,2021-03-04 04:32:10.000000,2021-03-03 22:56:47.000000,536,258.0,1351.0,5933,13476.0,The easiest way to automate your data.,186.0,30,True,2021-03-03 23:03:47.000000,0.14.11,88.0,prefect,conda-forge/prefect,,,,271.0,269.0,https://pypi.org/project/prefect,2021-02-23 23:25:33.000000,2.0,28333.0,31409.0,https://anaconda.org/conda-forge/prefect,2021-03-04 01:15:13.534000,73839.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n94,Hyperopt,hyperopt/hyperopt,,hyperopt,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59.000000,2021-02-09 09:39:50.000000,2021-02-09 09:39:50.000000,867,330.0,222.0,5462,1169.0,Distributed Asynchronous Hyperparameter Optimization in Python.,85.0,30,True,2020-10-07 09:52:56.000000,0.2.5,11.0,hyperopt,conda-forge/hyperopt,,,,3251.0,2747.0,https://pypi.org/project/hyperopt,2020-10-07 09:52:56.000000,504.0,330535.0,336371.0,https://anaconda.org/conda-forge/hyperopt,2020-10-14 07:57:14.292000,175089.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n95,SpeechRecognition,Uberi/speech_recognition,,audio,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54.000000,2021-02-28 19:52:57.000000,2019-07-02 17:29:47.000000,1885,212.0,270.0,5457,360.0,\"Speech recognition module for Python, supporting several engines and APIs, online and offline.\",41.0,30,False,2017-12-05 14:05:14.000000,3.8.1,52.0,SpeechRecognition,conda-forge/speechrecognition,,,,8195.0,7107.0,https://pypi.org/project/SpeechRecognition,2017-12-05 13:58:29.000000,1088.0,75331.0,77158.0,https://anaconda.org/conda-forge/speechrecognition,2021-01-11 17:26:33.040000,100520.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n96,Autograd,HIPS/autograd,,others,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23.000000,2021-03-03 09:28:19.000000,2021-03-03 09:27:58.000000,712,161.0,217.0,5152,1376.0,Efficiently computes derivatives of numpy code.,51.0,30,True,2017-08-24 17:00:41.000000,1.1.13,24.0,autograd,conda-forge/autograd,,,,1923.0,1579.0,https://pypi.org/project/autograd,2019-07-25 16:21:07.000000,344.0,466474.0,469350.0,https://anaconda.org/conda-forge/autograd,2019-07-25 18:29:55.493000,158204.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n97,UMAP,lmcinnes/umap,,data-viz,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17.000000,2021-03-02 15:21:01.000000,2021-03-02 15:20:57.000000,494,222.0,234.0,4548,1365.0,Uniform Manifold Approximation and Projection.,73.0,30,True,2021-02-08 21:04:43.000000,0.5.1,35.0,umap-learn,,,,,2686.0,2460.0,https://pypi.org/project/umap-learn,2021-02-08 21:04:43.000000,226.0,107796.0,107796.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n98,yfinance,ranaroussi/yfinance,,financial-data,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000000,2021-03-03 23:34:48.000000,2021-03-03 23:34:48.000000,1097,347.0,182.0,4464,250.0,Yahoo! Finance market data downloader (+faster Pandas Datareader).,30.0,30,True,2020-10-05 12:19:44.000000,0.1.55,20.0,yfinance,ranaroussi/yfinance,,,,3304.0,3278.0,https://pypi.org/project/yfinance,2020-10-05 12:19:44.000000,26.0,97219.0,99195.0,https://anaconda.org/ranaroussi/yfinance,2019-12-27 21:30:44.606000,37547.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n99,Tesseract,madmaze/pytesseract,,ocr,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000000,2021-02-08 17:13:50.000000,2021-02-08 17:13:45.000000,504,8.0,242.0,3441,360.0,Python-tesseract is an optical character recognition (OCR) tool for python.,36.0,30,True,2020-12-15 05:24:52.000000,0.3.7,24.0,pytesseract,conda-forge/pytesseract,,,,1428.0,,https://pypi.org/project/pytesseract,2020-12-15 05:24:52.000000,1428.0,961370.0,963590.0,https://anaconda.org/conda-forge/pytesseract,2020-11-20 10:05:14.874000,44406.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n100,MLxtend,rasbt/mlxtend,,sklearn-utils,https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16.000000,2021-03-03 03:22:57.000000,2021-03-03 03:22:57.000000,697,97.0,280.0,3360,1199.0,A library of extension and helper modules for Python's data analysis and machine learning libraries.,81.0,30,True,2020-11-26 04:18:15.000000,0.18.0,46.0,mlxtend,conda-forge/mlxtend,,,['sklearn'],2815.0,2625.0,https://pypi.org/project/mlxtend,2020-11-26 04:18:15.000000,190.0,119118.0,122640.0,https://anaconda.org/conda-forge/mlxtend,2020-11-26 05:32:00.667000,154980.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n101,bqplot,bqplot/bqplot,,data-viz,https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18.000000,2021-03-03 09:00:48.000000,2021-03-02 16:18:11.000000,407,187.0,327.0,3020,3246.0,Plotting library for IPython/Jupyter notebooks.,51.0,30,True,2021-02-23 12:01:57.098000,0.5.23,91.0,bqplot,conda-forge/bqplot,,,['jupyter'],1385.0,1263.0,https://pypi.org/project/bqplot,2021-02-23 12:03:51.000000,112.0,14463.0,149982.0,https://anaconda.org/conda-forge/bqplot,2021-03-02 08:00:32.235000,512720.0,,,,,2.0,,,,bqplot,https://www.npmjs.com/package/bqplot,2021-02-23 12:01:57.098000,10.0,126679.0,,,,,,,,,,,,,,\n102,wandb client,wandb/client,,ml-experiments,https://github.com/wandb/client,https://github.com/wandb/client,MIT,2017-03-24 05:46:23.000000,2021-03-04 03:55:19.000000,2021-03-04 03:55:19.000000,193,240.0,706.0,2779,3845.0,A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.,74.0,30,True,2021-03-02 17:35:07.000000,0.10.21,191.0,wandb,,,,,2217.0,2139.0,https://pypi.org/project/wandb,2021-03-02 16:48:55.000000,78.0,200230.0,200230.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n103,torchtext,pytorch/text,,nlp,https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000000,2021-03-04 14:11:22.000000,2021-03-04 05:37:45.000000,616,281.0,317.0,2660,780.0,Data loaders and abstractions for text and NLP.,107.0,30,True,2020-12-10 17:03:55.000000,0.8.1,12.0,torchtext,,,,['pytorch'],4553.0,3871.0,https://pypi.org/project/torchtext,2020-12-10 16:28:00.000000,682.0,63328.0,63328.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n104,PyQtGraph,pyqtgraph/pyqtgraph,,data-viz,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21.000000,2021-03-04 07:01:00.000000,2021-03-03 06:22:18.000000,811,264.0,485.0,2329,2553.0,Fast data visualization and GUI tools for scientific / engineering applications.,187.0,30,True,2020-12-20 02:43:22.000000,0.11.1,12.0,pyqtgraph,conda-forge/pyqtgraph,,,,890.0,,https://pypi.org/project/pyqtgraph,2020-12-20 02:43:22.000000,890.0,24638.0,27954.0,https://anaconda.org/conda-forge/pyqtgraph,2020-12-20 05:06:42.442000,165839.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n105,smart-open,RaRe-Technologies/smart_open,,data-loading,https://github.com/RaRe-Technologies/smart_open,https://github.com/RaRe-Technologies/smart_open,MIT,2015-01-02 13:05:52.000000,2021-03-01 13:08:20.000000,2021-03-01 13:08:16.000000,271,52.0,243.0,1955,898.0,\"Utils for streaming large files (S3, HDFS, gzip, bz2...).\",74.0,30,True,2021-02-15 06:45:45.000000,4.2.0,47.0,smart-open,,,,,640.0,,https://pypi.org/project/smart-open,2021-02-15 06:45:45.000000,640.0,6130214.0,6130214.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n106,opencv-python,skvark/opencv-python,,image,https://github.com/opencv/opencv-python,https://github.com/opencv/opencv-python,MIT,2016-04-08 13:36:40.000000,2021-01-03 17:07:49.000000,2020-12-28 18:40:12.000000,327,14.0,380.0,1799,749.0,\"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..\",27.0,30,True,2021-01-03 17:36:16.000000,47,48.0,opencv-python,,,,,12560.0,,https://pypi.org/project/opencv-python,2021-01-03 17:07:49.000000,12560.0,1586665.0,1586665.0,,,,,,,,2.0,,,,,,,,,,,,,opencv/opencv-python,,,,,,,,,\n107,Rasterio,mapbox/rasterio,,geospatial-data,https://github.com/mapbox/rasterio,https://github.com/mapbox/rasterio,BSD-3-Clause,2013-11-04 16:36:27.000000,2021-03-04 14:44:48.412000,2021-03-03 15:24:29.000000,394,137.0,1216.0,1443,3281.0,Rasterio reads and writes geospatial raster datasets.,107.0,30,True,2021-03-03 21:03:02.000000,1.2.1,122.0,rasterio,conda-forge/rasterio,,,,3667.0,2817.0,https://pypi.org/project/rasterio,2021-03-03 21:03:02.000000,850.0,164806.0,179977.0,https://anaconda.org/conda-forge/rasterio,2021-03-04 14:44:48.412000,909693.0,,,,,2.0,703.0,,,,,,,,,,,,,,,,,,,,,\n108,SageMaker SDK,aws/sagemaker-python-sdk,,ml-experiments,https://github.com/aws/sagemaker-python-sdk,https://github.com/aws/sagemaker-python-sdk,Apache-2.0,2017-11-14 01:03:33.000000,2021-03-04 02:06:02.000000,2021-03-04 02:06:02.000000,579,236.0,528.0,1327,1898.0,A library for training and deploying machine learning models on Amazon SageMaker.,179.0,30,True,2021-03-03 16:28:38.000000,2.28.0,315.0,sagemaker,,,,\"['mxnet', 'tensorflow']\",634.0,606.0,https://pypi.org/project/sagemaker,2021-03-03 03:03:43.000000,28.0,340400.0,340400.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n109,Wand,emcconville/wand,,image,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000000,2021-02-28 12:46:37.000000,2021-02-28 12:42:11.000000,182,14.0,325.0,1068,1697.0,The ctypes-based simple ImageMagick binding for Python.,95.0,30,True,2021-02-28 13:13:25.000000,0.6.6,48.0,wand,,,,,4576.0,3406.0,https://pypi.org/project/wand,2021-02-28 12:46:37.000000,1170.0,103042.0,103228.0,,,,,,,,2.0,5214.0,,,,,,,,,,,,,,,,,,,,,\n110,Fiona,Toblerity/Fiona,,geospatial-data,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00.000000,2021-03-03 08:46:44.857000,2020-11-30 07:11:40.000000,165,69.0,549.0,782,1093.0,Fiona reads and writes geographic data files.,65.0,30,True,2020-11-17 18:32:17.000000,1.8.18,96.0,fiona,conda-forge/fiona,,,,6331.0,5143.0,https://pypi.org/project/fiona,2020-11-17 18:32:17.000000,1188.0,472987.0,502180.0,https://anaconda.org/conda-forge/fiona,2021-03-03 08:46:44.857000,1751591.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n111,snowballstemmer,snowballstem/snowball,,nlp,https://github.com/snowballstem/snowball,https://github.com/snowballstem/snowball,BSD-3-Clause,2013-02-23 07:17:42.000000,2021-03-04 13:31:07.000000,2021-02-02 19:23:41.000000,133,17.0,42.0,477,846.0,Snowball compiler and stemming algorithms.,25.0,30,True,2021-01-21 11:43:00.000000,2.1.0,9.0,snowballstemmer,conda-forge/snowballstemmer,,,,58137.0,44955.0,https://pypi.org/project/snowballstemmer,2021-01-21 11:43:00.000000,13182.0,2136703.0,2176256.0,https://anaconda.org/conda-forge/snowballstemmer,2021-01-21 23:16:54.597000,2175429.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n112,Face Recognition,ageitgey/face_recognition,,image,https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39.000000,2021-02-14 15:50:55.000000,2020-09-26 15:32:59.000000,10710,574.0,529.0,38781,211.0,The world's simplest facial recognition api for Python and the command line.,45.0,29,True,2018-08-21 18:34:21.000000,1.2.3,21.0,face_recognition,,,,['pytorch'],406.0,,https://pypi.org/project/face_recognition,2018-08-21 18:34:21.000000,406.0,18252.0,18261.0,,,,,,,,2.0,439.0,,,,,,,,,,,,,,,,,,,,,\n113,Magenta,magenta/magenta,,audio,https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40.000000,2021-02-18 16:24:31.000000,2021-02-18 16:24:23.000000,3331,297.0,541.0,16358,1381.0,Magenta: Music and Art Generation with Machine Intelligence.,147.0,29,True,2020-11-12 19:17:18.000000,2.1.3,66.0,magenta,,,,['tensorflow'],344.0,274.0,https://pypi.org/project/magenta,2020-11-12 19:17:18.000000,70.0,3592.0,3592.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n114,Faiss,facebookresearch/faiss,,nn-search,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000000,2021-03-04 13:22:46.000000,2021-03-04 13:04:00.000000,2151,100.0,1288.0,12632,482.0,A library for efficient similarity search and clustering of dense vectors.,81.0,29,True,2021-02-13 14:11:25.000000,1.7.0,44.0,pymilvus,conda-forge/faiss,,,,325.0,319.0,https://pypi.org/project/pymilvus,2021-01-21 05:32:04.000000,6.0,4698.0,8475.0,https://anaconda.org/conda-forge/faiss,2021-03-03 05:18:33.351000,37771.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n115,horovod,horovod/horovod,,distributed-ml,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000000,2021-03-04 15:05:11.000000,2021-03-01 15:48:08.000000,1751,258.0,1449.0,10904,882.0,\"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.\",113.0,29,True,2021-02-09 01:22:11.000000,0.21.2,64.0,horovod,,,,,373.0,333.0,https://pypi.org/project/horovod,2021-02-15 20:51:41.000000,40.0,38821.0,38821.0,,,,,,,,2.0,,stable/horovod,,,,,,,,,,,,,,,,,,,,\n116,Lime,marcotcr/lime,,interpretability,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10.000000,2021-02-04 08:58:12.000000,2021-01-12 16:12:17.000000,1372,54.0,442.0,8494,508.0,Lime: Explaining the predictions of any machine learning classifier.,57.0,29,True,2020-04-03 22:05:03.000000,0.2.0.0,38.0,lime,conda-forge/lime,,,,1219.0,1091.0,https://pypi.org/project/lime,2020-06-26 21:38:15.000000,128.0,101860.0,103141.0,https://anaconda.org/conda-forge/lime,2020-06-28 01:02:41.538000,65369.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n117,Annoy,spotify/annoy,,nn-search,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40.000000,2021-03-01 19:06:27.000000,2020-12-03 18:21:18.000000,879,31.0,266.0,8169,785.0,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,68.0,29,True,2020-09-18 16:07:59.000000,1.17.0,43.0,annoy,,,,,1835.0,1475.0,https://pypi.org/project/annoy,2020-09-18 16:07:59.000000,360.0,129507.0,129507.0,,,,,,,,1.0,,,-1.0,,,,,,,,,,,,,,,,,,,\n118,fuzzywuzzy,seatgeek/fuzzywuzzy,,nlp,https://github.com/seatgeek/fuzzywuzzy,https://github.com/seatgeek/fuzzywuzzy,GPL-2.0,2011-07-08 19:32:34.000000,2021-02-21 17:07:39.000000,2021-02-20 06:36:20.000000,799,84.0,98.0,7882,381.0,Fuzzy String Matching in Python.,68.0,29,False,2020-02-13 22:14:12.000000,0.18.0,27.0,fuzzywuzzy,conda-forge/fuzzywuzzy,,,,11238.0,8032.0,https://pypi.org/project/fuzzywuzzy,2020-02-13 21:06:25.000000,3206.0,2628192.0,2633260.0,https://anaconda.org/conda-forge/fuzzywuzzy,2020-11-18 12:59:01.409000,283819.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n119,TPOT,EpistasisLab/tpot,,hyperopt,https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40.000000,2021-02-25 19:41:03.000000,2021-01-06 15:17:46.000000,1374,198.0,587.0,7869,2368.0,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,108.0,29,False,2021-01-06 15:20:08.000000,0.11.7,60.0,tpot,conda-forge/tpot,,,['sklearn'],925.0,845.0,https://pypi.org/project/tpot,2021-01-06 15:20:08.000000,80.0,13801.0,15798.0,https://anaconda.org/conda-forge/tpot,2020-12-14 22:49:13.925000,107847.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n120,TextBlob,sloria/TextBlob,,nlp,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18.000000,2021-02-18 02:25:12.000000,2021-02-18 02:24:57.000000,992,83.0,150.0,7557,535.0,\"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..\",34.0,29,True,2019-02-24 23:03:17.000000,0.15.3,55.0,textblob,conda-forge/textblob,,,,13059.0,10567.0,https://pypi.org/project/textblob,2019-02-24 23:03:17.000000,2492.0,227508.0,229566.0,https://anaconda.org/conda-forge/textblob,2019-02-24 23:32:55.233000,113241.0,,,,,2.0,88.0,,,,,,,,,,,,,,,,,,,,,\n121,glfw,glfw/glfw,,image,https://github.com/glfw/glfw,https://github.com/glfw/glfw,Zlib,2013-04-18 15:24:53.000000,2021-02-28 20:43:49.000000,2021-02-17 20:22:50.000000,2692,428.0,997.0,7339,4219.0,\"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.\",168.0,29,False,2021-02-23 19:56:32.000000,3.3.3,38.0,glfw,conda-forge/glfw,,,,214.0,,https://pypi.org/project/glfw,2021-02-28 20:43:49.000000,214.0,16232.0,48166.0,https://anaconda.org/conda-forge/glfw,2021-02-23 05:25:54.391000,25370.0,,,,,2.0,2226298.0,,,,,,,,,,,,,,,,,,,,,\n122,MoviePy,Zulko/moviepy,,image,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000000,2021-02-28 13:13:52.000000,2021-02-22 19:41:09.000000,1021,337.0,708.0,7328,1012.0,Video editing with Python.,137.0,29,True,2020-05-07 16:29:35.000000,1.0.3,84.0,moviepy,conda-forge/moviepy,,,,7441.0,6311.0,https://pypi.org/project/moviepy,2020-10-05 00:26:29.000000,1130.0,112133.0,113846.0,https://anaconda.org/conda-forge/moviepy,2020-02-23 19:57:49.975000,75395.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n123,Datasets,huggingface/datasets,,data-loading,https://github.com/huggingface/datasets,https://github.com/huggingface/datasets,Apache-2.0,2020-03-26 09:23:22.000000,2021-03-04 15:19:34.000000,2021-03-04 10:43:22.000000,752,245.0,360.0,6892,1404.0,\"The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools.\",231.0,29,True,2021-03-04 09:16:03.000000,1.4.1,16.0,datasets,,,,,421.0,403.0,https://pypi.org/project/datasets,2021-03-03 16:50:29.000000,18.0,25063.0,25063.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n124,pandas-profiling,pandas-profiling/pandas-profiling,,data-viz,https://github.com/pandas-profiling/pandas-profiling,https://github.com/pandas-profiling/pandas-profiling,MIT,2016-01-09 23:47:55.000000,2021-03-02 17:28:48.000000,2021-03-01 17:19:48.000000,1033,72.0,371.0,6879,784.0,Create HTML profiling reports from pandas DataFrame objects.,72.0,29,True,2021-02-20 14:18:35.000000,2.11.0,27.0,pandas-profiling,conda-forge/pandas-profiling,,,\"['jupyter', 'pandas']\",3404.0,3244.0,https://pypi.org/project/pandas-profiling,2021-02-07 23:45:05.000000,160.0,148649.0,150599.0,https://anaconda.org/conda-forge/pandas-profiling,2021-02-20 16:48:07.057000,107280.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n125,Pydub,jiaaro/pydub,,audio,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38.000000,2021-02-28 21:17:17.000000,2021-02-28 21:16:50.000000,692,177.0,238.0,5145,727.0,Manipulate audio with a simple and easy high level interface.,81.0,29,True,2020-06-03 15:23:56.000000,0.24.1,66.0,pydub,conda-forge/pydub,,,,7561.0,6207.0,https://pypi.org/project/pydub,2020-06-03 15:23:56.000000,1354.0,196080.0,196563.0,https://anaconda.org/conda-forge/pydub,2019-02-02 16:23:09.348000,13041.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n126,TinyDB,msiemens/tinydb,,data-containers,https://github.com/msiemens/tinydb,https://github.com/msiemens/tinydb,MIT,2013-07-12 23:31:13.000000,2021-03-02 07:16:50.000000,2021-03-02 07:16:50.000000,367,8.0,242.0,4073,609.0,TinyDB is a lightweight document oriented database optimized for your happiness :).,63.0,29,True,2021-02-11 19:31:26.000000,4.4.0,59.0,tinydb,conda-forge/tinydb,,,,1118.0,,https://pypi.org/project/tinydb,2021-02-11 19:31:24.000000,1118.0,128625.0,130472.0,https://anaconda.org/conda-forge/tinydb,2021-02-11 21:20:33.462000,105292.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n127,kaggle,Kaggle/kaggle-api,,ml-experiments,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000000,2021-02-04 16:58:12.000000,2020-11-30 21:43:14.000000,780,166.0,112.0,3885,137.0,Official Kaggle API.,35.0,29,True,2020-11-30 13:37:18.000000,1.5.10,47.0,kaggle,conda-forge/kaggle,,,,5240.0,4676.0,https://pypi.org/project/kaggle,2020-11-30 13:37:18.000000,564.0,78928.0,80973.0,https://anaconda.org/conda-forge/kaggle,2021-01-21 01:19:19.873000,45006.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n128,Koalas,databricks/koalas,,data-containers,https://github.com/databricks/koalas,https://github.com/databricks/koalas,Apache-2.0,2019-01-03 21:46:54.000000,2021-03-04 12:56:04.000000,2021-03-04 06:23:34.000000,298,92.0,433.0,2675,1480.0,Koalas: pandas API on Apache Spark.,47.0,29,True,2021-01-22 09:42:01.000000,1.6.0,43.0,koalas,conda-forge/koalas,,,\"['spark', 'pandas']\",80.0,78.0,https://pypi.org/project/koalas,2021-01-22 09:42:01.000000,2.0,509097.0,512702.0,https://anaconda.org/conda-forge/koalas,2021-01-22 12:57:15.187000,78419.0,,,,,2.0,996.0,,,,,,,,,,,,,,,,,,,,,\n129,dbt,fishtown-analytics/dbt,,data-pipelines,https://github.com/fishtown-analytics/dbt,https://github.com/fishtown-analytics/dbt,Apache-2.0,2016-03-10 02:38:00.000000,2021-03-04 15:07:10.000000,2021-03-03 20:46:56.000000,510,311.0,1473.0,2626,2481.0,dbt (data build tool) enables data analysts and engineers to transform their data using the same practices that..,136.0,29,True,2021-01-27 18:24:45.000000,0.19.0,144.0,dbt,conda-forge/dbt,,,,225.0,207.0,https://pypi.org/project/dbt,2021-02-12 16:11:05.000000,18.0,112838.0,115795.0,https://anaconda.org/conda-forge/dbt,2020-05-14 13:55:32.153000,153809.0,,,,,2.0,,,,,,,,,,dbt,,,,,,,,,,,,\n130,VisPy,vispy/vispy,,data-viz,https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22.000000,2021-03-03 21:40:24.000000,2021-02-28 22:53:11.000000,536,354.0,817.0,2590,6444.0,High-performance interactive 2D/3D data visualization library.,149.0,29,True,2020-12-14 15:55:00.000000,0.6.6,16.0,vispy,conda-forge/vispy,,,['jupyter'],583.0,461.0,https://pypi.org/project/vispy,2020-11-28 02:55:50.000000,122.0,14069.0,17252.0,https://anaconda.org/conda-forge/vispy,2021-01-13 03:28:46.609000,127983.0,,,,,2.0,,,1.0,vispy,https://www.npmjs.com/package/vispy,2020-03-15 14:39:41.516000,,62.0,,,,,,,,,,,,,,\n131,hmmlearn,hmmlearn/hmmlearn,,probabilistics,https://github.com/hmmlearn/hmmlearn,https://github.com/hmmlearn/hmmlearn,BSD-3-Clause,2014-03-23 10:33:09.000000,2021-02-05 09:47:49.000000,2021-02-05 09:47:44.000000,631,67.0,278.0,2192,355.0,\"Hidden Markov Models in Python, with scikit-learn like API.\",32.0,29,True,2021-02-03 14:33:20.000000,0.2.5,7.0,hmmlearn,conda-forge/hmmlearn,,,['sklearn'],1101.0,895.0,https://pypi.org/project/hmmlearn,2021-02-03 14:32:44.000000,206.0,102799.0,105152.0,https://anaconda.org/conda-forge/hmmlearn,2021-02-04 16:23:17.046000,65898.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n132,AzureML SDK,Azure/MachineLearningNotebooks,,ml-experiments,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000000,2021-03-01 17:15:14.000000,2021-03-01 17:15:14.000000,1614,131.0,858.0,2175,1107.0,Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft.,53.0,29,True,2021-02-10 03:17:46.000000,1.22.0,69.0,azureml-sdk,,,,,60.0,,https://pypi.org/project/azureml-sdk,2021-02-22 18:06:59.000000,60.0,227230.0,227243.0,,,,,,,,2.0,402.0,,,,,,,,,,,,,,,,,,,,,\n133,scikit-optimize,scikit-optimize/scikit-optimize,,hyperopt,https://github.com/scikit-optimize/scikit-optimize,https://github.com/scikit-optimize/scikit-optimize,BSD-3-Clause,2016-03-20 21:10:54.000000,2021-03-01 02:46:32.000000,2020-12-31 12:07:52.000000,394,199.0,360.0,2054,1541.0,Sequential model-based optimization with a `scipy.optimize` interface.,68.0,29,True,2020-09-04 09:08:10.000000,0.8.1,22.0,scikit-optimize,conda-forge/scikit-optimize,,,,1565.0,1405.0,https://pypi.org/project/scikit-optimize,2020-09-04 09:08:10.000000,160.0,390932.0,396056.0,https://anaconda.org/conda-forge/scikit-optimize,2020-09-04 09:50:52.372000,225456.0,,,,,1.0,,,-1.0,,,,,,,,,,,,,,,,,,,\n134,pandas-datareader,pydata/pandas-datareader,,data-loading,https://github.com/pydata/pandas-datareader,https://github.com/pydata/pandas-datareader,BSD-3-Clause,2015-01-15 00:34:19.000000,2021-03-01 17:39:21.000000,2020-12-31 11:58:23.000000,516,83.0,370.0,1904,764.0,Extract data from a wide range of Internet sources into a pandas DataFrame.,77.0,29,True,2020-07-10 10:04:14.000000,0.9.0,21.0,pandas-datareader,conda-forge/pandas-datareader,,,['pandas'],9492.0,8086.0,https://pypi.org/project/pandas-datareader,2020-07-10 10:04:14.000000,1406.0,94878.0,96971.0,https://anaconda.org/conda-forge/pandas-datareader,2019-11-20 10:38:42.074000,98378.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n135,hdbscan,scikit-learn-contrib/hdbscan,,others,https://github.com/scikit-learn-contrib/hdbscan,https://github.com/scikit-learn-contrib/hdbscan,BSD-3-Clause,2015-04-22 13:32:37.000000,2021-02-14 03:07:15.749000,2021-02-11 20:27:38.000000,339,225.0,145.0,1823,874.0,A high performance implementation of HDBSCAN clustering.,67.0,29,True,2021-02-03 20:21:02.000000,0.8.27,43.0,hdbscan,conda-forge/hdbscan,,,['sklearn'],875.0,751.0,https://pypi.org/project/hdbscan,2021-02-03 20:21:02.000000,124.0,69401.0,79512.0,https://anaconda.org/conda-forge/hdbscan,2021-02-14 03:07:15.749000,566220.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n136,Lifelines,CamDavidsonPilon/lifelines,,medical-data,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42.000000,2021-03-03 23:45:28.235000,2021-03-03 21:32:20.000000,416,191.0,594.0,1576,2096.0,Survival analysis in Python.,92.0,29,True,2021-03-03 21:33:00.000000,0.25.10,154.0,lifelines,conda-forge/lifelines,,,,638.0,512.0,https://pypi.org/project/lifelines,2021-02-05 04:36:18.000000,126.0,92355.0,94618.0,https://anaconda.org/conda-forge/lifelines,2021-03-03 23:45:28.235000,129030.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n137,Geocoder,DenisCarriere/geocoder,,geospatial-data,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21.000000,2020-12-30 04:09:42.000000,2018-10-12 15:53:05.000000,260,90.0,216.0,1326,1251.0,Python Geocoder.,74.0,29,False,2018-04-04 12:34:51.000000,1.38.1,108.0,geocoder,conda-forge/geocoder,,,,3965.0,3121.0,https://pypi.org/project/geocoder,2018-04-04 12:34:51.000000,844.0,230885.0,232675.0,https://anaconda.org/conda-forge/geocoder,2019-06-27 16:40:50.469000,87749.0,,,,,2.0,,,,,,,,,,,,,,geocoder,,,,,,,,\n138,Graphviz,xflr6/graphviz,,data-viz,https://github.com/xflr6/graphviz,https://github.com/xflr6/graphviz,MIT,2014-01-12 17:49:29.000000,2021-02-15 10:32:28.000000,2021-02-15 10:23:23.000000,142,9.0,96.0,930,451.0,Simple Python interface for Graphviz.,15.0,29,True,2020-10-07 09:06:41.000000,0.14.2,47.0,graphviz,,,,,22417.0,18035.0,https://pypi.org/project/graphviz,2020-12-24 16:17:24.000000,4382.0,1979614.0,1979614.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n139,snakemake,snakemake/snakemake,,ml-experiments,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867000,2021-03-03 21:31:27.912000,2021-03-03 19:13:56.000000,195,347.0,212.0,873,4022.0,\"This is the development home of the workflow management system Snakemake. For general information, see.\",197.0,29,True,2021-03-03 19:14:40.000000,6.0.2,163.0,snakemake,bioconda/snakemake,,,,1039.0,751.0,https://pypi.org/project/snakemake,2021-03-03 14:35:57.000000,288.0,7347.0,11649.0,https://anaconda.org/bioconda/snakemake,2021-03-03 21:31:27.912000,279690.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n140,TensorFlow Transform,tensorflow/transform,,tensorflow-utils,https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53.000000,2021-03-03 15:09:05.000000,2021-03-03 15:09:00.000000,168,34.0,119.0,857,602.0,Input pipeline framework.,27.0,29,True,2021-02-23 21:27:53.000000,0.28.0,34.0,tensorflow-transform,,,,['tensorflow'],502.0,418.0,https://pypi.org/project/tensorflow-transform,2021-01-27 23:34:27.000000,84.0,5138510.0,5138510.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n141,Nilearn,nilearn/nilearn,,medical-data,https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000000,2021-03-04 14:28:52.000000,2021-03-04 13:47:29.000000,378,378.0,1163.0,704,9315.0,Machine learning for NeuroImaging in Python.,164.0,29,True,2020-11-12 11:44:49.000000,0.7.0,35.0,nilearn,conda-forge/nilearn,,,['sklearn'],1205.0,903.0,https://pypi.org/project/nilearn,2020-11-12 11:44:49.000000,302.0,6403.0,7837.0,https://anaconda.org/conda-forge/nilearn,2020-11-12 13:26:03.600000,83197.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n142,Bottleneck,pydata/bottleneck,,data-containers,https://github.com/pydata/bottleneck,https://github.com/pydata/bottleneck,BSD-2-Clause,2010-11-27 23:21:22.000000,2021-01-24 18:54:13.000000,2021-01-24 18:39:03.000000,65,26.0,177.0,582,1241.0,Fast NumPy array functions written in C.,21.0,29,True,2020-02-21 06:22:16.000000,1.3.2,21.0,Bottleneck,conda-forge/bottleneck,,,,22293.0,19401.0,https://pypi.org/project/Bottleneck,2020-02-21 06:22:16.000000,2892.0,149358.0,174138.0,https://anaconda.org/conda-forge/bottleneck,2021-01-21 02:48:32.623000,1437268.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n143,pyproj,pyproj4/pyproj,,geospatial-data,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000000,2021-03-03 01:15:55.000000,2021-03-03 01:14:08.000000,148,10.0,383.0,578,1111.0,Python interface to PROJ (cartographic projections and coordinate transformations library).,39.0,29,True,2020-11-05 13:39:29.000000,3.0.0.post1,34.0,pyproj,conda-forge/pyproj,,,,11204.0,8742.0,https://pypi.org/project/pyproj,2020-11-05 14:28:45.000000,2462.0,956151.0,987628.0,https://anaconda.org/conda-forge/pyproj,2020-11-06 22:55:31.654000,1983054.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n144,NIPYPE,nipy/nipype,,medical-data,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000000,2021-03-04 08:56:43.000000,2020-12-08 17:16:40.000000,439,312.0,874.0,556,14049.0,Workflows and interfaces for neuroimaging packages.,212.0,29,True,2020-11-28 17:23:30.000000,1.6.0,54.0,nipype,conda-forge/nipype,,,,716.0,524.0,https://pypi.org/project/nipype,2020-11-28 17:23:30.000000,192.0,7721.0,14245.0,https://anaconda.org/conda-forge/nipype,2020-11-28 17:44:51.813000,365382.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n145,NiBabel,nipy/nibabel,,medical-data,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30.000000,2021-02-25 20:34:22.000000,2021-02-01 16:18:24.000000,214,112.0,286.0,393,4947.0,Python package to access a cacophony of neuro-imaging file formats.,89.0,29,True,2020-11-28 22:19:50.000000,3.2.1,32.0,nibabel,conda-forge/nibabel,,,,5047.0,3783.0,https://pypi.org/project/nibabel,2020-11-28 22:18:23.000000,1264.0,37502.0,42807.0,https://anaconda.org/conda-forge/nibabel,2020-11-29 03:40:05.178000,307706.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n146,Prophet,facebook/prophet,,time-series-data,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000000,2021-03-04 02:40:36.000000,2021-03-04 02:40:27.000000,3528,98.0,1443.0,12332,632.0,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,127.0,28,True,2020-09-05 16:12:50.000000,0.7.1,14.0,fbprophet,,,,,150.0,,https://pypi.org/project/fbprophet,2020-09-05 16:12:50.000000,150.0,439124.0,439135.0,,,,,,,,1.0,552.0,,,,,,,,,,,,,,,,,,,,,\n147,baselines,openai/baselines,,reinforcement-learning,https://github.com/openai/baselines,https://github.com/openai/baselines,MIT,2017-05-24 01:58:13.000000,2021-02-21 12:16:56.000000,2020-01-31 13:06:18.000000,3893,454.0,426.0,11228,347.0,OpenAI Baselines: high-quality implementations of reinforcement learning algorithms.,114.0,28,False,2018-02-26 17:07:07.000000,0.1.5,6.0,baselines,,,,,364.0,290.0,https://pypi.org/project/baselines,2018-02-26 17:07:07.000000,74.0,12014.0,12014.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n148,Rasa,RasaHQ/rasa,,nlp,https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49.000000,2021-03-04 13:24:03.000000,2021-03-04 12:44:25.000000,3309,545.0,4526.0,10897,,\"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..\",465.0,28,True,2021-02-26 15:48:19.000000,2.3.4,190.0,rasa,,,,['tensorflow'],64.0,,https://pypi.org/project/rasa,2021-02-26 15:48:07.000000,64.0,66513.0,66513.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n149,EasyOCR,JaidedAI/EasyOCR,,ocr,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000000,2021-03-03 04:30:30.000000,2021-03-03 04:26:54.000000,1127,104.0,167.0,10842,383.0,\"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..\",75.0,28,True,2021-02-28 03:08:39.000000,1.2.5,19.0,easyocr,,,,,130.0,130.0,https://pypi.org/project/easyocr,2021-03-03 04:30:30.000000,0.0,11780.0,32114.0,,,,,,,,1.0,183007.0,,,,,,,,,,,,,,,,,,,,,\n150,PyTorch Geometric,rusty1s/pytorch_geometric,,graph,https://github.com/rusty1s/pytorch_geometric,https://github.com/rusty1s/pytorch_geometric,MIT,2017-10-06 16:03:03.000000,2021-03-04 13:44:54.000000,2021-03-03 07:01:09.000000,1760,721.0,1138.0,10357,4169.0,Geometric Deep Learning Extension Library for PyTorch.,148.0,28,True,2020-12-02 14:57:09.000000,1.6.3,25.0,torch-geometric,,,,['pytorch'],24.0,,https://pypi.org/project/torch-geometric,2020-11-27 07:18:41.000000,24.0,11593.0,11593.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n151,Turi Create,apple/turicreate,,ml-frameworks,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04.000000,2021-02-02 21:52:08.000000,2021-02-02 21:52:07.000000,1091,476.0,1257.0,10151,1566.0,Turi Create simplifies the development of custom machine learning models.,81.0,28,True,2020-09-30 22:51:40.000000,6.4.1,31.0,turicreate,,,,,261.0,227.0,https://pypi.org/project/turicreate,2020-09-30 22:51:40.000000,34.0,10818.0,10911.0,,,,,,,,2.0,3659.0,,,,,,,,,,,,,,,,,,,,,\n152,Sonnet,deepmind/sonnet,,ml-frameworks,https://github.com/deepmind/sonnet,https://github.com/deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35.000000,2021-02-10 05:16:05.000000,2021-02-10 05:15:36.000000,1260,19.0,137.0,8777,545.0,TensorFlow-based neural network library.,49.0,28,True,2020-03-27 10:36:19.000000,2.0.0,27.0,dm-sonnet,conda-forge/sonnet,,,['tensorflow'],599.0,517.0,https://pypi.org/project/dm-sonnet,2020-03-27 10:36:10.000000,82.0,16182.0,16667.0,https://anaconda.org/conda-forge/sonnet,2020-11-14 18:13:23.843000,7760.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n153,Albumentations,albumentations-team/albumentations,,image,https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000000,2021-03-03 20:37:57.000000,2021-03-01 15:15:19.000000,963,183.0,242.0,7410,624.0,Fast image augmentation library and easy to use wrapper around other libraries. Documentation:..,75.0,28,True,2020-11-29 14:30:07.000000,0.5.2,44.0,albumentations,conda-forge/albumentations,,,['pytorch'],3021.0,2893.0,https://pypi.org/project/albumentations,2020-11-29 14:30:07.000000,128.0,50922.0,51653.0,https://anaconda.org/conda-forge/albumentations,2020-11-29 15:51:47.610000,15362.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n154,tensorboardX,lanpa/tensorboardX,,ml-experiments,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19.000000,2021-03-03 18:43:17.000000,2020-07-05 17:29:00.000000,788,72.0,341.0,6835,460.0,\"tensorboard for pytorch (and chainer, mxnet, numpy, ...).\",64.0,28,True,2020-07-05 17:54:10.000000,2.0,13.0,tensorboardX,conda-forge/tensorboardx,,,,11830.0,10496.0,https://pypi.org/project/tensorboardX,2020-07-05 16:22:14.000000,1334.0,228774.0,236673.0,https://anaconda.org/conda-forge/tensorboardx,2020-07-06 20:33:55.729000,299940.0,,,,,2.0,299.0,,,,,,,,,,,,,,,,,,,,,\n155,Pyro,pyro-ppl/pyro,,probabilistics,https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000000,2021-03-04 14:49:37.000000,2021-02-28 19:30:22.000000,823,142.0,687.0,6782,2139.0,Deep universal probabilistic programming with Python and PyTorch.,104.0,28,True,2021-02-01 23:22:45.000000,1.5.2,25.0,pyro-ppl,,,,['pytorch'],437.0,401.0,https://pypi.org/project/pyro-ppl,2021-02-01 23:20:19.000000,36.0,9628.0,9628.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n156,tensorpack,tensorpack/tensorpack,,ml-frameworks,https://github.com/tensorpack/tensorpack,https://github.com/tensorpack/tensorpack,Apache-2.0,2015-12-25 23:08:44.000000,2021-03-02 06:18:21.000000,2021-03-02 06:18:10.000000,1772,9.0,1309.0,5943,2930.0,\"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.\",55.0,28,True,2020-04-24 19:01:06.000000,0.10.1,37.0,tensorpack,,,,['tensorflow'],777.0,701.0,https://pypi.org/project/tensorpack,2021-01-22 08:44:03.000000,76.0,8199.0,8201.0,,,,,,,,2.0,115.0,,,,,,,,,,,,,,,,,,,,,\n157,Modin,modin-project/modin,,data-containers,https://github.com/modin-project/modin,https://github.com/modin-project/modin,Apache-2.0,2018-06-21 21:35:05.000000,2021-03-04 14:17:58.000000,2021-03-04 13:44:50.000000,396,456.0,1138.0,5761,1298.0,Modin: Speed up your Pandas workflows by changing a single line of code.,70.0,28,True,2021-01-12 14:40:18.000000,0.8.3,36.0,modin,,,,['pandas'],328.0,310.0,https://pypi.org/project/modin,2021-01-12 14:40:18.000000,18.0,45280.0,51383.0,,,,,,,,2.0,195318.0,,,,,,,,,,,,,,,,,,,,,\n158,faust,robinhood/faust,,data-pipelines,https://github.com/robinhood/faust,https://github.com/robinhood/faust,BSD-3-Clause,2017-03-08 18:36:11.000000,2021-01-21 01:53:26.000000,2020-10-09 12:59:42.000000,435,233.0,223.0,5354,4137.0,Python Stream Processing.,91.0,28,True,2020-02-25 22:57:18.000000,1.10.4,46.0,faust,,,,,679.0,651.0,https://pypi.org/project/faust,2020-02-25 22:57:18.000000,28.0,169721.0,169721.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n159,stanza,stanfordnlp/stanza,,nlp,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56.000000,2021-03-03 05:03:26.000000,2021-02-10 16:16:29.000000,661,50.0,417.0,5233,1847.0,Official Stanford NLP Python Library for Many Human Languages.,32.0,28,True,2021-01-29 20:05:25.000000,1.2.0,10.0,stanza,stanfordnlp/stanza,,,,354.0,350.0,https://pypi.org/project/stanza,2021-01-27 16:31:43.000000,4.0,13675.0,13946.0,https://anaconda.org/stanfordnlp/stanza,2021-01-27 22:24:06.992000,3253.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n160,OpenNMT,OpenNMT/OpenNMT-py,,nlp,https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000000,2021-02-23 09:52:57.000000,2021-02-23 09:52:57.000000,1768,90.0,1134.0,4845,2546.0,Open Source Neural Machine Translation in PyTorch.,165.0,28,True,2021-01-27 09:22:31.000000,2.0.1,28.0,OpenNMT-py,,,,['pytorch'],79.0,75.0,https://pypi.org/project/OpenNMT-py,2021-01-27 09:22:31.000000,4.0,1585.0,1585.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n161,csvkit,wireservice/csvkit,,data-loading,https://github.com/wireservice/csvkit,https://github.com/wireservice/csvkit,MIT,2011-04-01 03:00:30.000000,2021-01-25 19:13:27.000000,2020-10-30 01:59:29.000000,535,56.0,744.0,4495,1693.0,\"A suite of utilities for converting to and working with CSV, the king of tabular file formats.\",91.0,28,True,2020-03-03 03:00:28.000000,1.0.5,33.0,csvkit,conda-forge/csvkit,,,,1531.0,829.0,https://pypi.org/project/csvkit,2020-03-03 03:00:28.000000,702.0,22867.0,23836.0,https://anaconda.org/conda-forge/csvkit,2019-05-28 12:30:50.171000,46513.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n162,sentence-transformers,UKPLab/sentence-transformers,,nlp,https://github.com/UKPLab/sentence-transformers,https://github.com/UKPLab/sentence-transformers,Apache-2.0,2019-07-24 10:53:51.000000,2021-03-04 08:19:22.000000,2021-03-04 08:19:22.000000,812,336.0,386.0,4335,664.0,Sentence Embeddings with BERT & XLNet.,42.0,28,True,2021-01-04 14:04:01.000000,0.4.1,29.0,sentence-transformers,,,,['pytorch'],706.0,706.0,https://pypi.org/project/sentence-transformers,2021-01-04 15:49:09.000000,0.0,378130.0,378130.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n163,Tokenizers,huggingface/tokenizers,,nlp,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000000,2021-02-22 14:00:05.000000,2021-02-10 02:05:52.000000,319,82.0,309.0,4306,1441.0,Fast State-of-the-Art Tokenizers optimized for Research and Production.,40.0,28,True,2021-02-08 17:12:03.000000,0.10.1,60.0,tokenizers,conda-forge/tokenizers,,,,25.0,25.0,https://pypi.org/project/tokenizers,2021-02-08 17:12:03.000000,0.0,782186.0,785873.0,https://anaconda.org/conda-forge/tokenizers,2020-11-19 06:02:47.112000,29496.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n164,PyOD,yzhao062/pyod,,others,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04.000000,2021-02-27 04:32:37.000000,2021-02-18 15:48:37.000000,861,108.0,84.0,4204,1255.0,(JMLR'19) A Python Toolbox for Scalable Outlier Detection (Anomaly Detection).,23.0,28,True,2021-02-18 15:53:13.000000,0.8.7,65.0,pyod,,,,,519.0,513.0,https://pypi.org/project/pyod,2021-02-18 15:53:13.000000,6.0,57077.0,57077.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n165,Kornia,kornia/kornia,,image,https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000000,2021-03-04 09:52:23.000000,2021-02-26 13:50:40.000000,366,97.0,255.0,3641,1504.0,Open Source Differentiable Computer Vision Library for PyTorch.,86.0,28,True,2020-10-20 19:31:49.000000,0.4.1,12.0,kornia,,,,['pytorch'],282.0,282.0,https://pypi.org/project/kornia,2020-10-20 19:31:49.000000,0.0,11991.0,11991.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n166,imutils,jrosebr1/imutils,,image,https://github.com/jrosebr1/imutils,https://github.com/jrosebr1/imutils,MIT,2015-01-11 20:05:39.000000,2021-02-26 11:31:57.000000,2021-01-15 10:46:45.000000,878,131.0,76.0,3546,138.0,\"A series of convenience functions to make basic image processing operations such as translation, rotation, resizing,..\",20.0,28,True,2021-01-15 10:53:17.000000,0.5.4,29.0,imutils,conda-forge/imutils,,,,13777.0,12581.0,https://pypi.org/project/imutils,2021-01-15 10:53:17.000000,1196.0,80506.0,82418.0,https://anaconda.org/conda-forge/imutils,2021-01-15 14:27:25.471000,40158.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n167,Kedro,quantumblacklabs/kedro,,data-pipelines,https://github.com/quantumblacklabs/kedro,https://github.com/quantumblacklabs/kedro,Apache-2.0,2019-04-18 10:29:56.000000,2021-03-04 14:51:22.000000,2021-03-04 14:51:22.000000,416,84.0,355.0,3511,1168.0,\"A Python framework for creating reproducible, maintainable and modular data science code.\",100.0,28,True,2021-03-04 14:31:45.000000,0.17.1,25.0,kedro,,,,,428.0,412.0,https://pypi.org/project/kedro,2021-03-04 14:46:45.000000,16.0,46853.0,46853.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n168,sacred,IDSIA/sacred,,ml-experiments,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29.000000,2021-02-25 06:50:58.000000,2021-02-25 06:50:58.000000,314,92.0,402.0,3336,1303.0,\"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.\",92.0,28,True,2020-12-14 15:21:05.000000,0.8.2,27.0,sacred,,,,,981.0,827.0,https://pypi.org/project/sacred,2020-12-14 15:21:05.000000,154.0,8004.0,8004.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n169,dyNET,clab/dynet,,ml-frameworks,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21.000000,2021-02-17 22:08:25.000000,2021-01-27 15:43:03.000000,703,259.0,660.0,3188,3267.0,DyNet: The Dynamic Neural Network Toolkit.,156.0,28,True,2020-10-21 14:31:01.000000,2.1.2,24.0,dyNET,,,,,206.0,168.0,https://pypi.org/project/dyNET,2020-10-21 14:31:01.000000,38.0,3593.0,3632.0,,,,,,,,2.0,2087.0,,,,,,,,,,,,,,,,,,,,,\n170,PyCaret,pycaret/pycaret,,ml-experiments,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000000,2021-03-03 03:59:31.000000,2021-02-24 09:07:28.000000,631,185.0,579.0,3030,1694.0,\"An open-source, low-code machine learning library in Python.\",46.0,28,True,2021-02-21 19:02:44.000000,2.3.0,69.0,pycaret,,,,,701.0,701.0,https://pypi.org/project/pycaret,2021-02-21 19:03:52.000000,0.0,19799.0,19844.0,,,,,,,,2.0,361.0,,,,,,,,,,,,,,,,,,,,,\n171,Blaze,blaze/blaze,,data-containers,https://github.com/blaze/blaze,https://github.com/blaze/blaze,BSD-3-Clause,2012-10-26 14:25:22.000000,2020-02-01 19:33:09.000000,2019-08-15 21:14:59.000000,373,262.0,500.0,2929,7496.0,NumPy and Pandas interface to Big Data.,64.0,28,False,2016-07-19 20:40:03.000000,0.11.0,14.0,blaze,conda-forge/blaze,,,,9132.0,7510.0,https://pypi.org/project/blaze,2016-05-06 21:19:21.000000,1622.0,7357.0,11746.0,https://anaconda.org/conda-forge/blaze,2018-07-15 22:16:17.685000,188745.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n172,Dedupe,dedupeio/dedupe,,nlp,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36.000000,2021-02-28 21:04:26.000000,2021-02-28 20:45:28.000000,422,56.0,573.0,2928,2801.0,\"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.\",55.0,28,True,2021-02-28 20:52:16.000000,2.0.7,158.0,dedupe,,,,,257.0,179.0,https://pypi.org/project/dedupe,2021-02-28 20:52:16.000000,78.0,37671.0,37671.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n173,phonenumbers,daviddrysdale/python-phonenumbers,,nlp,https://github.com/daviddrysdale/python-phonenumbers,https://github.com/daviddrysdale/python-phonenumbers,Apache-2.0,2011-04-21 03:06:38.000000,2021-03-02 18:12:32.000000,2021-03-02 16:16:23.000000,333,3.0,113.0,2643,,Python port of Google's libphonenumber.,22.0,28,True,2021-02-09 08:55:35.000000,8.12.18,170.0,phonenumbers,conda-forge/phonenumbers,,,,2280.0,,https://pypi.org/project/phonenumbers,2021-03-02 18:12:32.000000,2280.0,608815.0,615580.0,https://anaconda.org/conda-forge/phonenumbers,2019-08-04 21:19:59.322000,385656.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n174,datashader,holoviz/datashader,,data-viz,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000000,2021-02-18 10:45:09.000000,2021-01-17 16:07:42.000000,311,144.0,328.0,2440,1282.0,Quickly and accurately render even the largest data.,43.0,28,True,2021-01-07 16:14:43.000000,0.12.0,22.0,datashader,conda-forge/datashader,,,,670.0,600.0,https://pypi.org/project/datashader,2021-01-07 16:14:43.000000,70.0,8818.0,12512.0,https://anaconda.org/conda-forge/datashader,2021-01-08 10:17:48.622000,147775.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n175,sklearn-pandas,scikit-learn-contrib/sklearn-pandas,,data-containers,https://github.com/scikit-learn-contrib/sklearn-pandas,https://github.com/scikit-learn-contrib/sklearn-pandas,Zlib,2013-04-22 22:55:20.000000,2021-02-27 07:31:07.000000,2021-02-27 07:31:07.000000,390,30.0,119.0,2349,284.0,Pandas integration with sklearn.,37.0,28,False,2021-02-27 06:52:07.000000,2.1.0,26.0,sklearn-pandas,,,,\"['sklearn', 'pandas']\",2031.0,1809.0,https://pypi.org/project/sklearn-pandas,2021-02-27 06:52:07.000000,222.0,110976.0,110976.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n176,GPyTorch,cornellius-gp/gpytorch,,probabilistics,https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000000,2021-03-04 13:59:33.000000,2021-03-03 18:11:47.000000,328,196.0,672.0,2311,3366.0,A highly efficient and modular implementation of Gaussian Processes in PyTorch.,74.0,28,True,2021-02-23 14:34:28.000000,1.4.0,25.0,gpytorch,,,,['pytorch'],234.0,226.0,https://pypi.org/project/gpytorch,2021-01-19 22:09:01.000000,8.0,33957.0,33957.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n177,NMSLIB,nmslib/nmslib,,nn-search,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06.000000,2021-02-03 16:23:42.000000,2021-02-03 16:21:49.000000,336,46.0,321.0,2301,1495.0,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,44.0,28,True,2021-02-03 16:40:09.000000,2.1.1,32.0,nmslib,conda-forge/nmslib,,,,377.0,325.0,https://pypi.org/project/nmslib,2021-02-03 00:02:08.000000,52.0,37956.0,39396.0,https://anaconda.org/conda-forge/nmslib,2021-01-08 16:19:07.762000,15849.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n178,Keras Tuner,keras-team/keras-tuner,,hyperopt,https://github.com/keras-team/keras-tuner,https://github.com/keras-team/keras-tuner,Apache-2.0,2019-06-06 22:38:21.000000,2021-03-04 02:32:25.000000,2021-03-04 02:32:25.000000,263,145.0,149.0,2256,804.0,Hyperparameter tuning for humans.,35.0,28,True,2020-11-20 19:13:23.000000,1.0.2,5.0,keras-tuner,,,,['tensorflow'],432.0,428.0,https://pypi.org/project/keras-tuner,2020-11-20 19:00:59.000000,4.0,104132.0,104132.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n179,ipyparallel,ipython/ipyparallel,,distributed-ml,https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,BSD-3-Clause,2015-04-09 07:43:55.000000,2021-02-23 14:37:54.000000,2021-02-22 12:08:33.000000,768,146.0,107.0,1899,1830.0,Interactive Parallel Computing in Python.,97.0,28,True,2020-05-05 18:42:38.000000,6.3.0,21.0,ipyparallel,conda-forge/ipyparallel,,,['jupyter'],1924.0,1434.0,https://pypi.org/project/ipyparallel,2020-05-05 18:42:38.000000,490.0,31604.0,38224.0,https://anaconda.org/conda-forge/ipyparallel,2021-01-22 17:12:52.539000,390613.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n180,ImageHash,JohannesBuchner/imagehash,,image,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48.000000,2021-01-03 14:55:33.000000,2021-01-03 14:55:15.000000,248,17.0,71.0,1852,184.0,A Python Perceptual Image Hashing Module.,17.0,28,True,2020-11-19 14:54:24.000000,4.2.0,17.0,ImageHash,conda-forge/imagehash,,,,2646.0,2114.0,https://pypi.org/project/ImageHash,2020-11-19 14:54:24.000000,532.0,249138.0,251160.0,https://anaconda.org/conda-forge/imagehash,2020-11-19 18:20:49.964000,105157.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n181,HoloViews,holoviz/holoviews,,data-viz,https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000000,2021-03-03 18:39:13.000000,2021-03-03 18:23:20.000000,306,696.0,1835.0,1818,10153.0,\"With Holoviews, your data visualizes itself.\",102.0,28,True,2021-01-27 18:07:05.000000,1.14.1,68.0,holoviews,conda-forge/holoviews,,,['jupyter'],170.0,,https://pypi.org/project/holoviews,2021-03-03 18:39:13.000000,170.0,40445.0,54943.0,https://anaconda.org/conda-forge/holoviews,2021-03-02 20:37:26.420000,434332.0,,,,,2.0,,,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,2020-05-24 13:49:54.205000,,7010.0,,,,,,,,,,,,,,\n182,pyLDAvis,bmabey/pyLDAvis,,interpretability,https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03.000000,2021-02-21 02:43:58.000000,2021-02-21 02:43:12.000000,302,96.0,62.0,1417,225.0,Python library for interactive topic model visualization. Port of the R LDAvis package.,32.0,28,True,2021-02-21 02:43:58.000000,3.2.2,22.0,pyldavis,conda-forge/pyldavis,,,['jupyter'],2038.0,1840.0,https://pypi.org/project/pyldavis,2021-02-21 02:43:58.000000,198.0,49657.0,50310.0,https://anaconda.org/conda-forge/pyldavis,2018-06-22 21:16:15.741000,21561.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n183,torchaudio,pytorch/audio,,audio,https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000000,2021-03-04 12:38:10.000000,2021-03-04 03:24:45.000000,276,152.0,286.0,1245,752.0,\"Data manipulation and transformation for audio signal processing, powered by PyTorch.\",99.0,28,True,2020-12-10 17:02:20.000000,0.7.2,11.0,torchaudio,,,,['pytorch'],1728.0,1710.0,https://pypi.org/project/torchaudio,2020-10-27 16:14:57.000000,18.0,59631.0,59631.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n184,PyTables,PyTables/PyTables,,data-containers,https://github.com/PyTables/PyTables,https://github.com/PyTables/PyTables,BSD-3-Clause,2011-06-03 19:44:46.000000,2021-03-04 14:27:47.000000,2021-03-04 14:27:47.000000,182,158.0,448.0,1005,3952.0,A Python package to manage extremely large amounts of data.,97.0,28,True,2019-10-30 19:33:37.000000,3.6.1,25.0,tables,conda-forge/pytables,,,,3754.0,,https://pypi.org/project/tables,2019-10-30 19:33:37.000000,3754.0,248888.0,290953.0,https://anaconda.org/conda-forge/pytables,2021-01-14 18:41:06.536000,2313501.0,,,,,2.0,125.0,,,,,,,,,,,,,,,,,,,,,\n185,Keras-Preprocessing,keras-team/keras-preprocessing,,others,https://github.com/keras-team/keras-preprocessing,https://github.com/keras-team/keras-preprocessing,MIT,2018-05-30 22:43:36.000000,2021-02-04 19:43:30.000000,2021-02-04 19:43:30.000000,409,93.0,99.0,914,284.0,\"Utilities for working with image data, text data, and sequence data.\",50.0,28,True,2020-05-14 03:53:47.000000,1.1.2,12.0,keras-preprocessing,conda-forge/keras-preprocessing,,,['tensorflow'],2736.0,,https://pypi.org/project/keras-preprocessing,2020-05-14 03:53:47.000000,2736.0,2578244.0,2604297.0,https://anaconda.org/conda-forge/keras-preprocessing,2021-01-15 12:28:58.923000,859758.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n186,Cython BLIS,explosion/cython-blis,,others,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16.000000,2021-02-25 03:59:27.000000,2020-12-07 07:21:11.000000,23,6.0,15.0,165,524.0,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,9.0,28,True,2020-12-07 08:56:44.000000,0.7.4,35.0,blis,conda-forge/cython-blis,,,,9081.0,8691.0,https://pypi.org/project/blis,2020-12-07 08:56:44.000000,390.0,677431.0,694845.0,https://anaconda.org/conda-forge/cython-blis,2021-01-31 09:13:47.685000,417945.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n187,Streamlit,streamlit/streamlit,,others,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000000,2021-03-04 15:15:26.000000,2021-03-03 19:10:27.000000,1149,594.0,988.0,13628,,Streamlit The fastest way to build data apps in Python.,87.0,27,True,2021-02-23 22:26:04.000000,0.77.0,124.0,streamlit,,,,,93.0,59.0,https://pypi.org/project/streamlit,2021-02-04 20:39:11.000000,34.0,104677.0,104677.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n188,Dopamine,google/dopamine,,reinforcement-learning,https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36.000000,2021-03-03 22:26:11.000000,2021-03-03 22:24:01.000000,1242,80.0,70.0,9330,223.0,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,14.0,27,True,2021-02-12 20:18:33.000000,3.1.9,36.0,dopamine-rl,,,,['tensorflow'],62.0,,https://pypi.org/project/dopamine-rl,2021-03-03 22:26:11.000000,62.0,46477.0,46477.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n189,AutoKeras,keras-team/autokeras,,hyperopt,https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20.000000,2021-03-03 20:26:27.000000,2021-03-03 20:26:27.000000,1259,57.0,666.0,7794,1242.0,AutoML library for deep learning.,127.0,27,True,2020-11-30 02:43:50.000000,1.0.12,46.0,autokeras,,,,['tensorflow'],155.0,148.0,https://pypi.org/project/autokeras,2020-11-30 02:43:50.000000,7.0,3256.0,3256.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n190,pretrainedmodels,Cadene/pretrained-models.pytorch,,pytorch-utils,https://github.com/Cadene/pretrained-models.pytorch,https://github.com/Cadene/pretrained-models.pytorch,BSD-3-Clause,2017-04-09 15:54:23.000000,2020-06-08 16:06:59.000000,2020-04-16 08:02:22.000000,1646,87.0,86.0,7754,154.0,\"Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.\",22.0,27,True,2018-10-29 08:18:45.000000,0.7.4,16.0,pretrainedmodels,,,,['pytorch'],990.0,886.0,https://pypi.org/project/pretrainedmodels,2018-10-29 08:18:45.000000,104.0,20054.0,20054.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n191,PyTorch Image Models,rwightman/pytorch-image-models,,image,https://github.com/rwightman/pytorch-image-models,https://github.com/rwightman/pytorch-image-models,Apache-2.0,2019-02-02 05:51:12.000000,2021-03-02 00:54:22.000000,2021-03-01 01:43:22.000000,1097,30.0,240.0,7721,720.0,\"PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2,..\",29.0,27,True,2021-02-18 08:02:36.000000,0.1-dnf-weights,17.0,,,,,['pytorch'],347.0,347.0,,,,,11804.0,,,,,,,,2.0,259707.0,,,,,,,,,,,,,,,,,,,,,\n192,dgl,dmlc/dgl,,graph,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000000,2021-03-04 09:20:43.000000,2021-03-03 08:35:07.000000,1368,234.0,731.0,6763,1598.0,\"Python package built to ease deep learning on graph, on top of existing DL frameworks.\",110.0,27,True,2021-02-26 00:05:08.000000,0.6.0,382.0,dgl,,,,,30.0,,https://pypi.org/project/dgl,2021-02-28 09:33:19.000000,30.0,13959.0,13959.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n193,TensorLayer,tensorlayer/tensorlayer,,reinforcement-learning,https://github.com/tensorlayer/tensorlayer,https://github.com/tensorlayer/tensorlayer,Apache-2.0,2016-06-07 15:55:16.000000,2021-02-23 00:48:18.000000,2021-02-22 06:39:19.000000,1460,17.0,433.0,6506,3344.0,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,131.0,27,True,2021-01-06 07:16:21.000000,2.2.4,82.0,tensorlayer,,,,['tensorflow'],68.0,,https://pypi.org/project/tensorlayer,2020-06-19 00:53:37.000000,68.0,1447.0,1469.0,,,,,,,,2.0,1202.0,,,,,,,,,,,,,,,,,,,,,\n194,imageai,OlafenwaMoses/ImageAI,,image,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33.000000,2021-02-05 19:32:30.000000,2021-01-05 01:31:12.000000,1642,190.0,411.0,5953,290.0,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,13.0,27,True,2021-01-05 01:26:01.000000,2.1.6,10.0,imageai,,,,,736.0,712.0,https://pypi.org/project/imageai,2021-01-05 01:26:01.000000,24.0,3931.0,19513.0,,,,,,,,2.0,545384.0,,,,,,,,,,,,,,,,,,,,,\n195,CleverHans,cleverhans-lab/cleverhans,,adversarial,https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04.000000,2021-03-04 01:44:10.000000,2021-03-04 01:44:09.000000,1233,24.0,413.0,4986,3104.0,\"An adversarial example library for constructing attacks, building defenses, and benchmarking both.\",117.0,27,True,2021-02-01 06:35:42.000000,3.1.0,7.0,cleverhans,,,,['tensorflow'],210.0,194.0,https://pypi.org/project/cleverhans,2018-11-27 17:36:15.000000,16.0,355.0,355.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n196,Bayesian Optimization,fmfn/BayesianOptimization,,hyperopt,https://github.com/fmfn/BayesianOptimization,https://github.com/fmfn/BayesianOptimization,MIT,2014-06-06 08:18:56.000000,2021-02-16 13:11:04.000000,2020-12-19 01:11:23.000000,1097,40.0,164.0,4926,199.0,A Python implementation of global optimization with gaussian processes.,27.0,27,True,2020-05-16 16:03:51.000000,1.2.0,8.0,bayesian-optimization,,,,,728.0,636.0,https://pypi.org/project/bayesian-optimization,2020-05-16 15:56:09.000000,92.0,42554.0,42555.0,,,,,,,,2.0,47.0,,,,,,,,,,,,,,,,,,,,,\n197,GluonCV,dmlc/gluon-cv,,image,https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21.000000,2021-03-03 09:01:49.000000,2021-03-02 18:37:34.000000,1056,372.0,378.0,4575,848.0,Gluon CV Toolkit.,111.0,27,True,2021-02-17 23:53:26.000000,0.9.4,1018.0,gluoncv,,,,['mxnet'],471.0,441.0,https://pypi.org/project/gluoncv,2021-03-03 09:01:49.000000,30.0,40984.0,40984.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n198,PDFMiner,euske/pdfminer,,data-loading,https://github.com/euske/pdfminer,https://github.com/euske/pdfminer,MIT,2010-12-12 12:50:22.000000,2021-02-16 14:43:27.000000,2020-01-18 07:00:32.000000,1024,222.0,40.0,4519,540.0,Python PDF Parser (Not actively maintained). Check out pdfminer.six.,28.0,27,False,,,24.0,pdfminer,conda-forge/pdfminer,,,,3548.0,2082.0,https://pypi.org/project/pdfminer,2019-11-25 12:02:21.000000,1466.0,71805.0,72065.0,https://anaconda.org/conda-forge/pdfminer,2021-02-15 15:07:18.804000,14352.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n199,snorkel,snorkel-team/snorkel,,data-loading,https://github.com/snorkel-team/snorkel,https://github.com/snorkel-team/snorkel,Apache-2.0,2016-02-26 05:52:45.000000,2021-03-03 22:59:07.000000,2021-03-01 03:08:16.000000,735,22.0,916.0,4502,2648.0,A system for quickly generating training data with weak supervision.,63.0,27,True,2020-08-09 03:07:36.000000,0.9.6,18.0,snorkel,conda-forge/snorkel,,,,80.0,72.0,https://pypi.org/project/snorkel,2020-08-09 02:57:34.000000,8.0,67129.0,67945.0,https://anaconda.org/conda-forge/snorkel,2020-04-10 13:08:54.445000,16126.0,,,,,3.0,506.0,,,,,,,,,,,,,,,,,,,,,\n200,librosa,librosa/librosa,,audio,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000000,2021-03-03 14:24:20.000000,2021-03-03 14:24:15.000000,705,73.0,785.0,4326,,Python library for audio and music analysis.,82.0,27,True,2020-07-22 01:34:55.000000,0.8.0,28.0,librosa,conda-forge/librosa,,,,11404.0,9654.0,https://pypi.org/project/librosa,2020-07-22 01:34:55.000000,1750.0,240202.0,244757.0,https://anaconda.org/conda-forge/librosa,2020-07-22 10:27:18.402000,255109.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n201,DEAP,deap/deap,,distributed-ml,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39.000000,2021-02-24 12:54:41.000000,2020-12-25 17:33:18.000000,857,169.0,223.0,4110,2147.0,Distributed Evolutionary Algorithms in Python.,67.0,27,False,2020-01-21 01:18:06.000000,1.3.1,16.0,deap,conda-forge/deap,,,,2133.0,1651.0,https://pypi.org/project/deap,2020-01-21 01:18:06.000000,482.0,50683.0,52729.0,https://anaconda.org/conda-forge/deap,2021-01-13 14:43:13.393000,116668.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n202,sktime,alan-turing-institute/sktime,,time-series-data,https://github.com/alan-turing-institute/sktime,https://github.com/alan-turing-institute/sktime,BSD-3-Clause,2018-11-06 15:08:24.000000,2021-03-04 04:22:58.000000,2021-03-02 19:43:37.000000,462,124.0,244.0,3668,1752.0,A unified framework for machine learning with time series.,77.0,27,True,2021-02-06 11:40:49.000000,0.5.3,13.0,sktime,,,,['sklearn'],114.0,114.0,https://pypi.org/project/sktime,2021-02-06 11:40:49.000000,0.0,10446.0,10448.0,,,,,,,,1.0,53.0,,,,,,,,,,,,,,,,,,,,,\n203,InterpretML,interpretml/interpret,,interpretability,https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000000,2021-03-04 02:41:51.000000,2021-03-04 02:39:10.000000,431,52.0,121.0,3513,1488.0,Fit interpretable models. Explain blackbox machine learning.,23.0,27,True,2021-01-20 02:12:33.000000,0.2.4,34.0,interpret,,,,['jupyter'],64.0,62.0,https://pypi.org/project/interpret,2021-01-20 02:10:35.000000,2.0,8426.0,8426.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n204,lightfm,lyst/lightfm,,recommender-systems,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00.000000,2021-02-09 09:07:19.000000,2021-02-07 21:16:06.000000,565,127.0,337.0,3508,428.0,\"A Python implementation of LightFM, a hybrid recommendation algorithm.\",44.0,27,True,2020-11-27 19:48:30.000000,1.16,14.0,lightfm,conda-forge/lightfm,,,,459.0,403.0,https://pypi.org/project/lightfm,2020-11-27 19:55:08.000000,56.0,63104.0,65169.0,https://anaconda.org/conda-forge/lightfm,2021-02-07 22:19:58.097000,78487.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n205,Alpha Vantage,RomelTorres/alpha_vantage,,financial-data,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00.000000,2021-02-17 12:42:04.000000,2020-12-21 19:51:57.000000,567,16.0,215.0,3181,497.0,A python wrapper for Alpha Vantage API for financial data.,36.0,27,True,2020-12-21 02:37:29.000000,2.3.1,28.0,alpha_vantage,,,,,202.0,,https://pypi.org/project/alpha_vantage,2018-08-26 18:55:11.000000,202.0,14346.0,14346.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n206,Dagster,dagster-io/dagster,,data-pipelines,https://github.com/dagster-io/dagster,https://github.com/dagster-io/dagster,Apache-2.0,2018-04-30 16:30:04.000000,2021-03-04 14:40:47.000000,2021-03-04 14:40:42.000000,303,670.0,1969.0,2966,6817.0,\"A data orchestrator for machine learning, analytics, and ETL.\",120.0,27,True,2021-02-26 01:07:40.000000,0.10.7,240.0,dagster,conda-forge/dagster,,,,146.0,142.0,https://pypi.org/project/dagster,2021-02-25 21:40:02.000000,4.0,29626.0,39478.0,https://anaconda.org/conda-forge/dagster,2021-02-28 00:06:08.457000,157640.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n207,pomegranate,jmschrei/pomegranate,,probabilistics,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000000,2021-02-27 06:33:10.000000,2021-02-12 22:35:15.000000,472,38.0,544.0,2612,884.0,\"Fast, flexible and easy to use probabilistic modelling in Python.\",61.0,27,True,2021-02-12 19:38:41.000000,0.14.2,63.0,pomegranate,conda-forge/pomegranate,,,,459.0,403.0,https://pypi.org/project/pomegranate,2021-02-12 19:38:41.000000,56.0,15183.0,17550.0,https://anaconda.org/conda-forge/pomegranate,2020-11-01 16:22:04.857000,47351.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n208,plotnine,has2k1/plotnine,,data-viz,https://github.com/has2k1/plotnine,https://github.com/has2k1/plotnine,GPL-2.0,2017-04-24 19:00:44.000000,2021-03-04 15:03:24.000000,2021-03-04 15:00:47.000000,135,68.0,361.0,2589,1682.0,A grammar of graphics for Python.,82.0,27,False,2020-08-05 20:10:30.000000,0.7.1,10.0,plotnine,conda-forge/plotnine,,,,1863.0,1609.0,https://pypi.org/project/plotnine,2020-08-05 18:55:16.000000,254.0,72525.0,74581.0,https://anaconda.org/conda-forge/plotnine,2020-08-06 19:52:38.810000,94604.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n209,mrjob,Yelp/mrjob,,data-pipelines,https://github.com/Yelp/mrjob,https://github.com/Yelp/mrjob,Apache-2.0,2010-10-13 18:35:21.000000,2020-12-24 22:44:29.424000,2020-11-16 22:20:52.000000,590,200.0,1089.0,2530,8622.0,Run MapReduce jobs on Hadoop or Amazon Web Services.,142.0,27,True,2020-09-17 22:26:01.000000,0.7.4,60.0,mrjob,conda-forge/mrjob,,,,796.0,684.0,https://pypi.org/project/mrjob,2020-09-17 22:26:01.000000,112.0,51381.0,57410.0,https://anaconda.org/conda-forge/mrjob,2020-12-24 22:44:29.424000,325595.0,,,,,2.0,,,-2.0,,,,,,,,,,,,,,,,,,,\n210,Jina,jina-ai/jina,,ml-frameworks,https://github.com/jina-ai/jina,https://github.com/jina-ai/jina,Apache-2.0,2020-02-13 17:04:44.000000,2021-03-04 14:21:29.000000,2021-03-04 10:57:59.000000,363,66.0,616.0,2453,4950.0,An easier way to build neural search on the cloud.,86.0,27,True,2021-02-28 23:13:39.000000,1.0.7,436.0,jina,,jinaai/jina,,,49.0,49.0,https://pypi.org/project/jina,2021-03-04 10:59:51.000000,,4424.0,16641.0,,,,https://hub.docker.com/r/jinaai/jina,2021-03-04 11:11:50.119130,1.0,158829.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n211,eli5,TeamHG-Memex/eli5,,interpretability,https://github.com/TeamHG-Memex/eli5,https://github.com/TeamHG-Memex/eli5,MIT,2016-09-15 01:04:57.000000,2021-01-25 08:24:59.385000,2020-01-22 07:39:36.000000,296,145.0,110.0,2306,1198.0,A library for debugging/inspecting machine learning classifiers and explaining their predictions.,14.0,27,False,2021-01-23 14:25:24.000000,0.11.0,28.0,eli5,conda-forge/eli5,,,,110.0,,https://pypi.org/project/eli5,2021-01-23 14:25:24.000000,110.0,127219.0,129150.0,https://anaconda.org/conda-forge/eli5,2021-01-25 08:24:59.385000,88859.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n212,implicit,benfred/implicit,,recommender-systems,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000000,2021-02-10 05:30:09.000000,2021-02-10 05:29:05.000000,460,80.0,257.0,2270,301.0,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,29.0,27,True,2020-09-15 22:01:38.000000,0.4.4,34.0,implicit,conda-forge/implicit,,,,414.0,370.0,https://pypi.org/project/implicit,2020-09-15 22:01:38.000000,44.0,62436.0,67721.0,https://anaconda.org/conda-forge/implicit,2020-11-24 06:44:37.378000,200836.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n213,Cufflinks,santosjorge/cufflinks,,data-viz,https://github.com/santosjorge/cufflinks,https://github.com/santosjorge/cufflinks,MIT,2014-11-19 20:59:33.000000,2021-02-25 05:05:09.000000,2021-02-25 05:05:09.000000,535,81.0,121.0,2103,452.0,Productivity Tools for Plotly + Pandas.,38.0,27,True,2020-03-01 17:42:01.000000,0.17.3,27.0,cufflinks,,,,['pandas'],3021.0,2787.0,https://pypi.org/project/cufflinks,2020-03-01 17:42:01.000000,234.0,39997.0,39997.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n214,ta,bukosabino/ta,,financial-data,https://github.com/bukosabino/ta,https://github.com/bukosabino/ta,MIT,2018-01-02 18:08:48.000000,2021-02-25 05:21:53.000000,2020-11-29 21:08:14.000000,482,72.0,83.0,1881,582.0,Technical Analysis Library using Pandas and Numpy.,23.0,27,True,2020-11-29 10:49:09.000000,0.7.0,49.0,ta,,,,,454.0,442.0,https://pypi.org/project/ta,2020-11-29 10:49:09.000000,12.0,22421.0,22421.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n215,TF-Agents,tensorflow/agents,,reinforcement-learning,https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000000,2021-03-03 07:01:26.000000,2021-03-03 07:00:40.000000,474,112.0,316.0,1817,1644.0,TF-Agents is a library for Reinforcement Learning in TensorFlow.,86.0,27,True,2021-01-05 18:41:58.000000,0.7.1,18.0,tf-agents,,,,['tensorflow'],404.0,392.0,https://pypi.org/project/tf-agents,2021-01-05 18:41:58.000000,12.0,5395.0,5395.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n216,Foolbox,bethgelab/foolbox,,adversarial,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48.000000,2021-02-23 22:41:42.000000,2021-02-23 07:07:05.000000,332,54.0,264.0,1800,1641.0,\"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.\",31.0,27,True,2021-02-23 07:09:34.000000,3.3.1,68.0,foolbox,,,,,192.0,174.0,https://pypi.org/project/foolbox,2021-02-23 07:07:53.000000,18.0,1353.0,1353.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n217,filterpy,rlabbe/filterpy,,probabilistics,https://github.com/rlabbe/filterpy,https://github.com/rlabbe/filterpy,MIT,2014-07-15 02:15:19.000000,2021-03-02 14:46:47.000000,2021-02-08 17:55:48.000000,407,21.0,147.0,1723,536.0,\"Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman..\",33.0,27,True,2018-10-10 22:38:24.000000,1.4.5,48.0,filterpy,conda-forge/filterpy,,,,946.0,734.0,https://pypi.org/project/filterpy,2018-10-10 22:38:24.000000,212.0,18160.0,19436.0,https://anaconda.org/conda-forge/filterpy,2020-05-05 21:13:59.073000,57432.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n218,MNE,mne-tools/mne-python,,medical-data,https://github.com/mne-tools/mne-python,https://github.com/mne-tools/mne-python,BSD-3-Clause,2011-01-28 03:31:13.000000,2021-03-04 14:26:32.000000,2021-03-04 14:26:32.000000,860,326.0,3169.0,1522,,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,234.0,27,True,2020-12-17 15:32:54.000000,0.22.0,50.0,mne,conda-forge/mne,,,,1051.0,853.0,https://pypi.org/project/mne,2020-12-17 15:32:54.000000,198.0,14713.0,16939.0,https://anaconda.org/conda-forge/mne,2020-12-20 21:44:36.472000,109119.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n219,Flax,google/flax,,ml-frameworks,https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000000,2021-03-04 07:26:39.000000,2021-03-02 12:55:00.000000,180,144.0,163.0,1499,1695.0,Flax is a neural network ecosystem for JAX that is designed for flexibility.,79.0,27,True,2021-03-01 10:28:28.000000,0.3.2,11.0,flax,,,,['jax'],112.0,106.0,https://pypi.org/project/flax,2021-03-01 15:56:50.000000,6.0,56627.0,56628.0,,,,,,,,3.0,23.0,,,,,,,,,,,,,,,,,,,,,\n220,Cartopy,mapbox/rasterio,,geospatial-data,https://github.com/mapbox/rasterio,https://github.com/mapbox/rasterio,LGPL-3.0,2013-11-04 16:36:27.000000,2021-03-03 15:24:39.000000,2021-03-03 15:24:29.000000,394,137.0,1216.0,1443,3281.0,Rasterio reads and writes geospatial raster datasets.,107.0,27,False,2020-05-04 03:02:47.000000,0.18.0,19.0,Cartopy,conda-forge/cartopy,,,,3163.0,2817.0,https://pypi.org/project/Cartopy,2020-05-04 03:02:47.000000,346.0,16289.0,39581.0,https://anaconda.org/conda-forge/cartopy,2021-02-12 18:27:31.764000,1396949.0,,,,,3.0,703.0,,,,,,,,,,,,,,,,,,,,,\n221,datasketch,ekzhu/datasketch,,data-containers,https://github.com/ekzhu/datasketch,https://github.com/ekzhu/datasketch,MIT,2015-03-20 01:21:46.000000,2021-02-24 19:51:10.000000,2021-02-24 19:46:37.000000,207,20.0,92.0,1435,194.0,\"MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble.\",17.0,27,True,2020-12-23 21:01:43.000000,1.5.3,75.0,datasketch,,,,,346.0,260.0,https://pypi.org/project/datasketch,2020-12-23 21:01:43.000000,86.0,131698.0,131698.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,,,,\n222,GPflow,GPflow/GPflow,,probabilistics,https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000000,2021-02-25 16:12:51.000000,2021-02-25 16:12:48.000000,389,86.0,604.0,1398,2203.0,Gaussian processes in TensorFlow.,70.0,27,True,2020-12-01 13:12:15.000000,2.1.4,28.0,gpflow,conda-forge/gpflow,,,['tensorflow'],257.0,223.0,https://pypi.org/project/gpflow,2020-12-01 13:12:15.000000,34.0,1963.0,2207.0,https://anaconda.org/conda-forge/gpflow,2018-11-06 08:51:39.744000,8313.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n223,PyCUDA,inducer/pycuda,,gpu-utilities,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000000,2021-03-04 10:43:45.000000,2021-02-23 23:58:12.000000,218,43.0,126.0,1096,1459.0,\"CUDA integration for Python, plus shiny features.\",69.0,27,True,2019-08-12 04:15:37.000000,2019.1.2,46.0,pycuda,,,,,1045.0,753.0,https://pypi.org/project/pycuda,2020-10-07 21:59:52.000000,292.0,12267.0,12267.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n224,ipyleaflet,jupyter-widgets/ipyleaflet,,geospatial-data,https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10.000000,2021-02-11 08:35:25.000000,2021-02-11 08:35:24.000000,278,137.0,256.0,1095,908.0,A Jupyter - Leaflet.js bridge.,63.0,27,True,2021-01-05 16:38:38.000000,0.13.6,70.0,ipyleaflet,conda-forge/ipyleaflet,,,['jupyter'],814.0,714.0,https://pypi.org/project/ipyleaflet,2021-01-05 16:38:38.000000,98.0,13356.0,152123.0,https://anaconda.org/conda-forge/ipyleaflet,2021-01-16 23:51:37.383000,611346.0,,,,,3.0,,,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2021-01-05 16:30:30.235000,2.0,128227.0,,,,,,,,,,,,,,\n225,Model Analysis,tensorflow/model-analysis,,interpretability,https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000000,2021-03-04 01:02:16.000000,2021-03-04 01:02:11.000000,212,27.0,35.0,1042,918.0,Model analysis tools for TensorFlow.,34.0,27,True,2021-02-23 19:09:00.000000,0.28.0,35.0,tensorflow-model-analysis,,,,\"['tensorflow', 'jupyter']\",20.0,,https://pypi.org/project/tensorflow-model-analysis,2021-02-23 19:09:00.000000,20.0,4436326.0,4436326.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n226,petl,petl-developers/petl,,data-pipelines,https://github.com/petl-developers/petl,https://github.com/petl-developers/petl,MIT,2011-08-19 09:51:03.000000,2021-02-23 21:08:43.000000,2021-02-04 17:18:53.000000,151,66.0,342.0,849,1131.0,Python Extract Transform and Load Tables of Data.,44.0,27,True,2021-02-04 19:33:48.000000,1.7.2,77.0,petl,conda-forge/petl,,http://petl.readthedocs.org,,442.0,328.0,https://pypi.org/project/petl,2021-02-04 19:33:48.000000,114.0,11960.0,12342.0,https://anaconda.org/conda-forge/petl,2021-02-04 21:23:53.862000,20676.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n227,igraph,igraph/python-igraph,,graph,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16.000000,2021-03-02 14:41:54.473000,2021-03-01 10:29:15.000000,181,29.0,258.0,786,1605.0,Python interface for igraph.,49.0,27,False,2021-02-26 01:30:51.000000,0.9.0,18.0,python-igraph,conda-forge/igraph,,,,1910.0,1486.0,https://pypi.org/project/python-igraph,2020-10-08 12:41:40.000000,424.0,37278.0,42804.0,https://anaconda.org/conda-forge/igraph,2021-03-02 14:41:54.473000,202422.0,,,,,1.0,75406.0,,,,,,,,,,,,,,,,,,,,,\n228,pyopencl,inducer/pyopencl,,others,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,MIT,2011-04-06 02:51:33.000000,2021-02-25 23:51:13.000000,2021-02-25 23:51:13.000000,209,52.0,209.0,783,2917.0,\"OpenCL integration for Python, plus shiny features.\",84.0,27,True,2021-01-28 14:18:50.000000,2021.1.1,57.0,pyopencl,conda-forge/pyopencl,,,,713.0,475.0,https://pypi.org/project/pyopencl,2021-02-17 20:15:17.000000,238.0,6054.0,12257.0,https://anaconda.org/conda-forge/pyopencl,2021-02-17 23:10:21.103000,328776.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n229,patsy,pydata/patsy,,probabilistics,https://github.com/pydata/patsy,https://github.com/pydata/patsy,BSD-2-Clause,2012-07-10 12:30:06.000000,2020-09-09 13:00:29.000000,2018-10-31 21:55:48.000000,85,78.0,52.0,740,517.0,Describing statistical models in Python using symbolic formulas.,13.0,27,False,2018-10-28 05:07:55.000000,0.5.1,8.0,patsy,conda-forge/patsy,,,,35677.0,30753.0,https://pypi.org/project/patsy,2018-10-28 03:59:51.000000,4924.0,1402270.0,1450750.0,https://anaconda.org/conda-forge/patsy,2018-10-28 05:21:35.412000,2666424.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n230,data-validation,tensorflow/data-validation,,data-viz,https://github.com/tensorflow/data-validation,https://github.com/tensorflow/data-validation,Apache-2.0,2018-07-02 15:47:02.000000,2021-03-02 02:09:31.000000,2021-03-02 02:09:27.000000,95,38.0,75.0,526,578.0,Library for exploring and validating machine learning data.,20.0,27,True,2021-02-24 01:58:44.000000,0.28.0,25.0,tensorflow-data-validation,,,,\"['tensorflow', 'jupyter']\",259.0,241.0,https://pypi.org/project/tensorflow-data-validation,2021-02-24 02:22:50.000000,18.0,4583547.0,4583553.0,,,,,,,,2.0,207.0,,,,,,,,,,,,,,,,,,,,,\n231,DIPY,dipy/dipy,,medical-data,https://github.com/dipy/dipy,https://github.com/dipy/dipy,BSD-3-Clause,2010-02-06 11:43:08.000000,2021-02-25 00:03:44.000000,2021-02-19 20:49:08.000000,313,156.0,574.0,392,11388.0,\"DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal..\",118.0,27,True,2020-11-05 17:35:53.000000,1.3.0,21.0,dipy,conda-forge/dipy,,,,430.0,336.0,https://pypi.org/project/dipy,2020-11-05 17:35:53.000000,94.0,4317.0,7568.0,https://anaconda.org/conda-forge/dipy,2020-11-14 18:28:50.683000,188601.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n232,detectron2,facebookresearch/detectron2,,image,https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000000,2021-03-04 09:35:39.000000,2021-03-04 09:35:32.000000,3848,90.0,2184.0,15213,990.0,Detectron2 is FAIR's next-generation platform for object detection and segmentation.,148.0,26,True,2020-11-06 03:20:56.000000,0.3,7.0,,conda-forge/detectron2,,,['pytorch'],174.0,174.0,,,,,1416.0,https://anaconda.org/conda-forge/detectron2,2020-08-05 13:27:52.058000,14164.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n233,NNI,microsoft/nni,,hyperopt,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44.000000,2021-03-04 14:43:26.000000,2021-03-04 01:14:40.000000,1225,257.0,885.0,9210,1975.0,\"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..\",122.0,26,True,2021-01-14 05:58:03.000000,2.0,38.0,nni,,,,,108.0,92.0,https://pypi.org/project/nni,2021-02-26 15:13:32.000000,16.0,942.0,942.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n234,InsightFace,deepinsight/insightface,,image,https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,MIT,2017-09-01 00:36:51.000000,2021-03-04 09:52:51.000000,2021-03-04 09:52:51.000000,2966,719.0,656.0,8650,1482.0,Face Analysis Project on MXNet.,15.0,26,True,2019-09-07 13:47:11.000000,0.1.5,6.0,insightface,,,,['mxnet'],54.0,52.0,https://pypi.org/project/insightface,2019-09-07 13:47:11.000000,2.0,3005.0,3005.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n235,PySyft,OpenMined/PySyft,,privacy-ml,https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,Apache-2.0,2017-07-18 20:41:16.000000,2021-03-04 15:03:48.000000,2021-03-04 13:08:52.000000,1571,189.0,2553.0,6913,6515.0,A library for answering questions using data you cannot see.,351.0,26,True,2020-11-12 19:57:58.000000,0.3.0,49.0,syft,,,,['pytorch'],6.0,,https://pypi.org/project/syft,2020-11-12 19:57:58.000000,6.0,1207.0,1207.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n236,backtrader,mementum/backtrader,,financial-data,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52.000000,2021-03-04 03:39:49.000000,2021-02-11 20:51:09.000000,1859,21.0,,5847,2383.0,Python Backtesting library for trading strategies.,51.0,26,False,,,155.0,backtrader,,,,,543.0,473.0,https://pypi.org/project/backtrader,2020-07-03 13:02:14.000000,70.0,10155.0,10155.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n237,carla,carla-simulator/carla,,others,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000000,2021-03-04 15:16:51.000000,2021-02-16 14:27:47.000000,1680,333.0,2711.0,5666,4760.0,Open-source simulator for autonomous driving research.,122.0,26,True,2020-12-23 07:08:35.000000,0.9.11,22.0,carla,,,,,64.0,60.0,https://pypi.org/project/carla,2019-04-28 17:45:24.000000,4.0,375.0,375.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n238,tsfresh,blue-yonder/tsfresh,,time-series-data,https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17.000000,2021-03-03 22:06:05.000000,2021-03-03 22:06:05.000000,852,38.0,407.0,5449,398.0,Automatic extraction of relevant features from time series:.,74.0,26,True,2020-09-09 21:08:22.000000,0.17.0,26.0,tsfresh,conda-forge/tsfresh,,,['sklearn'],66.0,,https://pypi.org/project/tsfresh,2020-09-09 21:08:22.000000,66.0,121805.0,122540.0,https://anaconda.org/conda-forge/tsfresh,2020-09-10 08:48:19.773000,29403.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n239,auto-sklearn,automl/auto-sklearn,,hyperopt,https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10.000000,2021-02-24 21:32:41.000000,2021-02-17 13:53:31.000000,980,126.0,582.0,5251,2424.0,Automated Machine Learning with scikit-learn.,63.0,26,True,2021-02-17 13:56:10.000000,0.12.3,27.0,auto-sklearn,,,,['sklearn'],162.0,132.0,https://pypi.org/project/auto-sklearn,2021-02-17 13:54:45.000000,30.0,4570.0,4570.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n240,DeepPavlov,deepmipt/DeepPavlov,,nlp,https://github.com/deepmipt/DeepPavlov,https://github.com/deepmipt/DeepPavlov,Apache-2.0,2017-11-17 14:35:29.000000,2021-03-03 14:31:48.000000,2020-12-24 16:30:15.000000,891,92.0,450.0,5043,2579.0,An open source library for deep learning end-to-end dialog systems and chatbots.,61.0,26,True,2020-12-24 16:35:56.000000,0.14.0,41.0,deeppavlov,,,,['tensorflow'],182.0,178.0,https://pypi.org/project/deeppavlov,2020-12-24 16:33:49.000000,4.0,5798.0,5798.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n241,Datasette,simonw/datasette,,others,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000000,2021-03-04 05:46:29.000000,2021-03-04 05:46:10.000000,256,231.0,762.0,4768,1589.0,An open source multi-tool for exploring and publishing data.,43.0,26,True,2021-02-19 02:02:29.000000,0.55,91.0,datasette,,,,,446.0,376.0,https://pypi.org/project/datasette,2021-02-19 02:07:42.000000,70.0,5053.0,5053.0,,,,,,,,2.0,29.0,,,,,,,,,datasette,,,,,,,,,,,,\n242,scikit-surprise,NicolasHug/Surprise,,recommender-systems,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38.000000,2020-10-13 01:22:58.850000,2020-08-05 17:45:59.000000,831,35.0,286.0,4726,622.0,A Python scikit for building and analyzing recommender systems.,38.0,26,True,2020-07-19 14:50:48.000000,1.1.1,9.0,scikit-surprise,conda-forge/scikit-surprise,,,,974.0,926.0,https://pypi.org/project/scikit-surprise,2020-07-19 14:50:48.000000,48.0,20458.0,24655.0,https://anaconda.org/conda-forge/scikit-surprise,2020-10-13 01:22:58.850000,159496.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n243,OCRmyPDF,jbarlow83/OCRmyPDF,,ocr,https://github.com/jbarlow83/OCRmyPDF,https://github.com/jbarlow83/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000000,2021-03-03 09:17:49.000000,2021-03-03 09:02:59.000000,431,93.0,577.0,3931,2855.0,\"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.\",50.0,26,True,2021-02-15 10:20:48.000000,11.6.2,161.0,ocrmypdf,,,,,130.0,118.0,https://pypi.org/project/ocrmypdf,2021-02-15 10:20:48.000000,12.0,7628.0,7628.0,,,,,,,,2.0,,,,,,,,,,ocrmypdf,ocrmypdf,,,,,,,,,,,\n244,skorch,skorch-dev/skorch,,ml-frameworks,https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000000,2021-02-07 15:39:41.000000,2021-02-07 15:39:41.000000,280,46.0,321.0,3801,945.0,A scikit-learn compatible neural network library that wraps PyTorch.,39.0,26,True,2020-08-30 10:46:40.000000,0.9.0,12.0,skorch,conda-forge/skorch,,,\"['pytorch', 'sklearn']\",303.0,277.0,https://pypi.org/project/skorch,2020-08-30 10:43:37.000000,26.0,5622.0,12296.0,https://anaconda.org/conda-forge/skorch,2020-09-19 04:12:07.576000,200245.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n245,mlpack,mlpack/mlpack,,ml-frameworks,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59.000000,2021-03-04 09:22:57.000000,2021-03-03 15:52:02.000000,1314,147.0,1206.0,3578,26018.0,mlpack: a scalable C++ machine learning library --.,268.0,26,True,2020-10-28 18:28:47.000000,3.4.2,40.0,mlpack,conda-forge/mlpack,,,,0.0,,https://pypi.org/project/mlpack,2020-10-28 18:28:47.000000,0.0,86.0,2169.0,https://anaconda.org/conda-forge/mlpack,2020-10-29 09:35:18.918000,66687.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n246,pyfolio,quantopian/pyfolio,,financial-data,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39.000000,2020-07-29 16:06:37.000000,2020-07-15 13:46:58.000000,1112,125.0,263.0,3551,1184.0,Portfolio and risk analytics in Python.,55.0,26,True,2019-04-15 15:00:21.000000,0.9.2,22.0,pyfolio,conda-forge/pyfolio,,,,260.0,206.0,https://pypi.org/project/pyfolio,2019-04-15 15:00:21.000000,54.0,3343.0,3496.0,https://anaconda.org/conda-forge/pyfolio,2020-05-16 14:11:57.267000,5697.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n247,Ignite,pytorch/ignite,,ml-frameworks,https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000000,2021-03-04 13:57:27.000000,2021-03-04 09:18:45.000000,437,104.0,643.0,3433,945.0,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,129.0,26,True,2021-03-03 23:04:01.000000,0.4.4.post1,484.0,pytorch-ignite,pytorch/ignite,,,['pytorch'],835.0,773.0,https://pypi.org/project/pytorch-ignite,2021-03-04 00:31:21.000000,62.0,23955.0,25621.0,https://anaconda.org/pytorch/ignite,2021-03-03 23:10:32.721000,55003.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n248,Perspective,finos/perspective,,data-viz,https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000000,2021-03-04 10:48:49.000000,2021-03-04 10:36:27.000000,350,77.0,310.0,3245,4357.0,Streaming pivot visualization via WebAssembly.,62.0,26,True,2021-02-24 14:38:08.000000,0.6.1,40.0,perspective-python,,,,['jupyter'],186.0,178.0,https://pypi.org/project/perspective-python,2021-02-24 14:38:08.000000,8.0,529.0,2451.0,,,,,,,,2.0,,,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2021-02-12 04:20:19.050000,,1922.0,,,,,,,,,,,,,,\n249,AutoGluon,awslabs/autogluon,,hyperopt,https://github.com/awslabs/autogluon,https://github.com/awslabs/autogluon,Apache-2.0,2019-07-29 18:51:24.000000,2021-03-04 13:37:49.000000,2021-03-04 10:04:58.000000,393,103.0,304.0,3019,550.0,\"AutoGluon: AutoML for Text, Image, and Tabular Data.\",53.0,26,True,2021-03-01 22:07:04.000000,0.1.0,345.0,autogluon,,,,['mxnet'],46.0,46.0,https://pypi.org/project/autogluon,2021-03-04 09:15:08.000000,0.0,14799.0,14799.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n250,textract,deanmalmgren/textract,,data-loading,https://github.com/deanmalmgren/textract,https://github.com/deanmalmgren/textract,MIT,2014-07-03 20:36:59.000000,2021-03-01 14:04:11.000000,2019-11-14 08:37:39.000000,424,84.0,121.0,2966,556.0,extract text from any document. no muss. no fuss.,30.0,26,False,2019-08-26 15:05:53.000000,1.6.3,15.0,textract,conda-forge/textract,,,,192.0,,https://pypi.org/project/textract,2019-08-26 15:05:53.000000,192.0,19388.0,19584.0,https://anaconda.org/conda-forge/textract,2017-03-20 21:15:33.254000,10635.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n251,ftfy,LuminosoInsight/python-ftfy,,nlp,https://github.com/LuminosoInsight/python-ftfy,https://github.com/LuminosoInsight/python-ftfy,MIT,2012-08-24 16:14:59.000000,2021-02-26 21:01:20.000000,2021-02-11 19:54:35.000000,101,11.0,98.0,2897,524.0,\"Fixes mojibake and other glitches in Unicode text, after the fact.\",17.0,26,True,2020-02-18 16:42:00.000000,5.6.1,42.0,ftfy,conda-forge/ftfy,,,,3610.0,2850.0,https://pypi.org/project/ftfy,2021-02-11 19:55:25.000000,760.0,273261.0,275294.0,https://anaconda.org/conda-forge/ftfy,2021-01-20 08:08:09.562000,95558.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n252,nevergrad,facebookresearch/nevergrad,,hyperopt,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000000,2021-03-04 14:47:37.000000,2021-03-04 11:34:32.000000,272,80.0,123.0,2845,788.0,A Python toolbox for performing gradient-free optimization.,42.0,26,True,2021-01-28 12:05:40.000000,0.4.3,27.0,nevergrad,conda-forge/nevergrad,,,,154.0,140.0,https://pypi.org/project/nevergrad,2021-01-28 12:05:40.000000,14.0,11142.0,11723.0,https://anaconda.org/conda-forge/nevergrad,2020-12-14 18:21:29.267000,6398.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n253,DeepChem,deepchem/deepchem,,others,https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000000,2021-03-04 13:55:32.000000,2021-03-03 14:47:46.000000,927,350.0,859.0,2770,6240.0,\"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.\",149.0,26,True,2021-01-13 21:21:38.000000,2.4.0,219.0,deepchem,,,,['tensorflow'],41.0,37.0,https://pypi.org/project/deepchem,2021-03-03 14:50:18.000000,4.0,1652.0,1652.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n254,missingno,ResidentMario/missingno,,data-viz,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50.000000,2020-12-28 16:13:39.000000,2020-12-28 16:13:38.000000,347,15.0,88.0,2672,170.0,Missing data visualization module for Python.,15.0,26,True,2019-07-09 16:05:14.000000,0.4.2,22.0,missingno,conda-forge/missingno,,,,3165.0,3013.0,https://pypi.org/project/missingno,2019-07-09 16:05:14.000000,152.0,113714.0,115464.0,https://anaconda.org/conda-forge/missingno,2020-02-15 10:07:41.253000,77021.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n255,Catalyst,catalyst-team/catalyst,,ml-experiments,https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13.000000,2021-03-04 13:43:00.000000,2021-01-21 11:13:00.000000,281,13.0,270.0,2457,1469.0,Accelerated deep learning R&D.,81.0,26,True,2020-12-20 10:12:32.000000,20.12,88.0,catalyst,,,,['pytorch'],351.0,313.0,https://pypi.org/project/catalyst,2021-02-03 07:06:09.000000,38.0,4357.0,4357.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n256,gpustat,wookayin/gpustat,,gpu-utilities,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43.000000,2021-02-01 09:12:28.000000,2021-01-13 04:00:20.000000,183,20.0,49.0,2251,166.0,A simple command-line utility for querying and monitoring GPU status.,10.0,26,True,2019-07-22 06:37:00.000000,0.6.0,11.0,gpustat,conda-forge/gpustat,,,,719.0,661.0,https://pypi.org/project/gpustat,2021-01-02 05:59:41.000000,58.0,165593.0,166699.0,https://anaconda.org/conda-forge/gpustat,2020-11-24 19:59:04.772000,26552.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n257,GluonNLP,dmlc/gluon-nlp,,nlp,https://github.com/dmlc/gluon-nlp,https://github.com/dmlc/gluon-nlp,Apache-2.0,2018-04-04 20:57:13.000000,2021-03-03 18:42:30.000000,2021-02-26 17:34:18.000000,508,252.0,288.0,2230,825.0,\"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..\",81.0,26,True,2020-08-13 19:17:42.000000,0.10.0,26.0,gluonnlp,,,,['mxnet'],437.0,415.0,https://pypi.org/project/gluonnlp,2020-08-13 19:17:42.000000,22.0,23233.0,23233.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n258,Core ML Tools,apple/coremltools,,model-serialisation,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000000,2021-03-03 20:05:43.000000,2021-03-03 20:05:43.000000,340,332.0,331.0,2121,862.0,\"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.\",109.0,26,True,2021-02-05 02:07:15.000000,4.1,28.0,coremltools,,,,,735.0,469.0,https://pypi.org/project/coremltools,2021-02-05 01:28:44.000000,266.0,29527.0,29586.0,,,,,,,,1.0,2485.0,,,,,,,,,,,,,,,,,,,,,\n259,aubio,aubio/aubio,,audio,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44.000000,2021-01-19 16:59:52.641000,2021-01-19 09:51:49.000000,296,106.0,173.0,2052,4111.0,a library for audio and music analysis.,24.0,26,False,2019-02-27 09:00:43.000000,0.4.9,10.0,aubio,conda-forge/aubio,,,,249.0,213.0,https://pypi.org/project/aubio,2019-02-08 11:21:02.000000,36.0,999.0,9199.0,https://anaconda.org/conda-forge/aubio,2021-01-19 16:59:52.641000,393630.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n260,TextDistance,life4/textdistance,,nlp,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10.000000,2021-01-29 15:41:57.288000,2021-01-29 09:03:55.000000,165,9.0,,1927,304.0,\"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..\",9.0,26,True,2021-01-29 09:04:46.000000,.4.2.1,21.0,textdistance,conda-forge/textdistance,,,,405.0,377.0,https://pypi.org/project/textdistance,2021-01-29 09:03:27.000000,28.0,103255.0,104015.0,https://anaconda.org/conda-forge/textdistance,2021-01-29 15:41:57.288000,25778.0,,,,,2.0,102.0,,,,,,,,,,,,,,,,,,,,,\n261,BoTorch,pytorch/botorch,,hyperopt,https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000000,2021-03-04 12:20:59.000000,2021-03-03 05:52:40.000000,183,50.0,131.0,1850,852.0,Bayesian optimization in PyTorch.,51.0,26,True,2021-02-23 21:33:59.000000,0.4.0,16.0,botorch,,,,['pytorch'],90.0,90.0,https://pypi.org/project/botorch,2020-12-08 06:47:25.000000,0.0,30210.0,30210.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n262,PyFunctional,EntilZha/PyFunctional,,data-pipelines,https://github.com/EntilZha/PyFunctional,https://github.com/EntilZha/PyFunctional,MIT,2015-02-05 17:17:51.000000,2021-03-03 14:08:08.000000,2021-03-03 14:08:00.000000,99,3.0,115.0,1792,517.0,Python library for creating data pipelines with chain functional programming.,23.0,26,True,2021-01-12 19:21:07.000000,1.4.3,14.0,pyfunctional,,,,,263.0,263.0,https://pypi.org/project/pyfunctional,2021-01-12 19:14:48.000000,0.0,28780.0,28780.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n263,langid,saffsd/langid.py,,nlp,https://github.com/saffsd/langid.py,https://github.com/saffsd/langid.py,BSD-3-Clause,2011-04-29 00:16:56.000000,2020-01-01 10:49:30.000000,2017-07-15 02:49:17.000000,265,25.0,45.0,1736,242.0,Stand-alone language identification system.,9.0,26,False,2016-04-05 22:34:15.000000,1.1.6,8.0,langid,,,,,880.0,630.0,https://pypi.org/project/langid,2016-04-05 22:34:15.000000,250.0,332401.0,332401.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n264,textacy,chartbeat-labs/textacy,,nlp,https://github.com/chartbeat-labs/textacy,https://github.com/chartbeat-labs/textacy,Apache-2.0,2016-02-03 16:52:45.000000,2021-02-09 13:36:10.000000,2021-01-09 19:21:48.000000,214,34.0,194.0,1616,1332.0,\"NLP, before and after spaCy.\",29.0,26,True,2020-08-29 20:51:28.000000,0.10.1,29.0,textacy,conda-forge/textacy,,,,154.0,,https://pypi.org/project/textacy,2020-08-29 20:51:28.000000,154.0,38358.0,40055.0,https://anaconda.org/conda-forge/textacy,2020-11-19 15:32:56.211000,78102.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n265,tesserocr,sirfz/tesserocr,,ocr,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36.000000,2021-01-18 20:15:27.000000,2021-01-18 20:15:13.000000,196,61.0,147.0,1410,155.0,A Python wrapper for the tesseract-ocr API.,23.0,26,True,2020-03-17 17:45:44.000000,2.5.1,15.0,tesserocr,conda-forge/tesserocr,,,,568.0,468.0,https://pypi.org/project/tesserocr,2020-03-17 17:45:44.000000,100.0,34731.0,36882.0,https://anaconda.org/conda-forge/tesserocr,2021-01-13 16:38:14.456000,36582.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n266,hnswlib,nmslib/hnswlib,,nn-search,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000000,2021-03-03 16:20:14.000000,2021-02-04 04:34:33.000000,251,82.0,108.0,1375,275.0,Header-only C++/python library for fast approximate nearest neighbors.,41.0,26,True,2021-02-04 04:55:19.000000,0.5.1,5.0,hnswlib,,,,,102.0,100.0,https://pypi.org/project/hnswlib,2021-02-04 04:55:19.000000,2.0,13797.0,13797.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n267,agate,wireservice/agate,,others,https://github.com/wireservice/agate,https://github.com/wireservice/agate,MIT,2014-04-25 13:59:09.000000,2021-02-22 23:09:37.000000,2020-04-01 15:40:18.000000,132,54.0,588.0,1032,1355.0,A Python data analysis library that is optimized for humans instead of machines.,47.0,26,True,2018-03-11 14:37:30.000000,1.6.1,24.0,agate,conda-forge/agate,,,,751.0,509.0,https://pypi.org/project/agate,2018-03-11 14:37:30.000000,242.0,166869.0,168109.0,https://anaconda.org/conda-forge/agate,2018-08-19 06:02:58.597000,60763.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n268,Mesh,tensorflow/mesh,,distributed-ml,https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34.000000,2021-03-04 02:09:09.000000,2021-03-04 02:08:33.000000,151,72.0,13.0,893,586.0,Mesh TensorFlow: Model Parallelism Made Easier.,39.0,26,True,2020-12-17 23:10:07.000000,0.1.18,24.0,mesh-tensorflow,,,,['tensorflow'],554.0,498.0,https://pypi.org/project/mesh-tensorflow,2020-12-17 23:10:07.000000,56.0,54476.0,54476.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n269,pmdarima,alkaline-ml/pmdarima,,time-series-data,https://github.com/alkaline-ml/pmdarima,https://github.com/alkaline-ml/pmdarima,MIT,2017-03-30 14:58:30.000000,2021-02-24 12:56:43.000000,2021-02-24 12:47:29.000000,154,18.0,209.0,828,1026.0,\"A statistical library designed to fill the void in Python's time series analysis capabilities, including the..\",17.0,26,True,2020-12-02 23:17:04.000000,1.8.0,28.0,pmdarima,,,,,793.0,781.0,https://pypi.org/project/pmdarima,2020-12-02 23:17:04.000000,12.0,177682.0,177682.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n270,pyclustering,annoviko/pyclustering,,others,https://github.com/annoviko/pyclustering,https://github.com/annoviko/pyclustering,BSD-3-Clause,2014-02-25 18:59:03.000000,2021-02-12 23:22:26.000000,2021-02-12 19:04:59.000000,186,53.0,584.0,802,2079.0,\"pyclustring is a Python, C++ data mining library.\",26.0,26,True,2020-11-25 22:33:07.000000,0.10.1.2,46.0,pyclustering,conda-forge/pyclustering,,,,219.0,183.0,https://pypi.org/project/pyclustering,2020-11-25 22:41:20.000000,36.0,16567.0,17591.0,https://anaconda.org/conda-forge/pyclustering,2021-01-25 21:14:55.053000,15291.0,,,,,2.0,292.0,,,,,,,,,,,,,,,,,,,,,\n271,PyVista,pyvista/pyvista,,data-viz,https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000000,2021-03-03 22:07:24.000000,2021-03-03 18:28:52.000000,143,131.0,290.0,715,2130.0,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,55.0,26,True,2021-02-04 05:34:23.000000,0.28.1,37.0,pyvista,conda-forge/pyvista,,,['jupyter'],289.0,263.0,https://pypi.org/project/pyvista,2021-02-04 05:34:23.000000,26.0,9985.0,12943.0,https://anaconda.org/conda-forge/pyvista,2021-02-04 15:46:30.334000,65067.0,,,,,2.0,63.0,,,,,,,,,,,,,,,,,,,,,\n272,pythreejs,jupyter-widgets/pythreejs,,data-viz,https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,BSD-3-Clause,2013-12-23 17:02:11.000000,2021-03-02 13:32:39.505000,2021-02-26 14:01:59.000000,158,63.0,141.0,705,1659.0,A Jupyter - Three.js bridge.,27.0,26,True,2021-02-26 13:59:06.062000,2.3.0,43.0,pythreejs,conda-forge/pythreejs,,,['jupyter'],49.0,15.0,https://pypi.org/project/pythreejs,2021-02-26 14:01:21.000000,26.0,6159.0,19757.0,https://anaconda.org/conda-forge/pythreejs,2021-03-02 13:32:39.505000,273863.0,,,,,2.0,,,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,2021-02-26 13:59:06.062000,8.0,8877.0,,,,,,,,,,,,,,\n273,TensorFlow Text,tensorflow/text,,nlp,https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000000,2021-03-01 18:09:55.000000,2021-03-01 17:59:34.000000,87,44.0,86.0,700,360.0,Making text a first-class citizen in TensorFlow.,35.0,26,True,2021-01-13 04:36:01.000000,2.4.3,32.0,tensorflow-text,,,,['tensorflow'],505.0,501.0,https://pypi.org/project/tensorflow-text,2021-01-13 04:24:47.000000,4.0,133877.0,133877.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n274,zarr,zarr-developers/zarr-python,,data-containers,https://github.com/zarr-developers/zarr-python,https://github.com/zarr-developers/zarr-python,MIT,2015-12-15 14:49:40.000000,2021-03-04 13:14:34.000000,2021-03-03 08:24:31.000000,107,179.0,229.0,648,1386.0,\"An implementation of chunked, compressed, N-dimensional arrays for Python.\",35.0,26,True,2020-12-02 18:33:13.000000,2.6.1,31.0,zarr,conda-forge/zarr,,,,649.0,577.0,https://pypi.org/project/zarr,2020-12-02 18:33:13.000000,72.0,34815.0,45185.0,https://anaconda.org/conda-forge/zarr,2020-12-03 02:31:13.848000,601490.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n275,geojson,jazzband/geojson,,geospatial-data,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48.000000,2020-11-25 21:55:02.000000,2020-11-25 19:10:27.000000,81,20.0,51.0,599,445.0,Python bindings and utilities for GeoJSON.,44.0,26,True,2019-08-09 20:32:15.000000,2.5.0,28.0,geojson,conda-forge/geojson,,,,7760.0,5926.0,https://pypi.org/project/geojson,2019-08-09 20:32:15.000000,1834.0,323113.0,329366.0,https://anaconda.org/conda-forge/geojson,2019-08-11 12:10:34.426000,375214.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n276,SMAC3,automl/SMAC3,,hyperopt,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-3-Clause,2016-08-17 10:58:05.000000,2021-02-24 20:31:08.000000,2020-10-29 10:14:55.000000,153,76.0,251.0,562,1888.0,Sequential Model-based Algorithm Configuration.,30.0,26,True,2020-10-29 10:57:56.000000,0.13.1,29.0,smac,,,,,58.0,,https://pypi.org/project/smac,2020-10-29 10:57:56.000000,58.0,9129.0,9129.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n277,inflect,jaraco/inflect,,nlp,https://github.com/jaraco/inflect,https://github.com/jaraco/inflect,MIT,2010-06-20 13:43:13.000000,2021-03-03 03:46:48.932000,2021-03-03 01:31:20.000000,59,10.0,63.0,489,,\"Correctly generate plurals, ordinals, indefinite articles; convert numbers to words.\",29.0,26,True,2021-03-03 01:35:47.000000,5.3.0,33.0,inflect,conda-forge/inflect,,,,1388.0,,https://pypi.org/project/inflect,2021-03-03 01:35:47.000000,1388.0,733294.0,736116.0,https://anaconda.org/conda-forge/inflect,2021-03-03 03:46:48.932000,132659.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n278,TensorFlow I/O,tensorflow/io,,tensorflow-utils,https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05.000000,2021-03-03 12:42:51.000000,2021-03-02 12:33:49.000000,150,112.0,276.0,420,1371.0,\"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.\",72.0,26,True,2020-12-15 00:45:37.000000,0.17.0,21.0,tensorflow-io,,,,['tensorflow'],120.0,120.0,https://pypi.org/project/tensorflow-io,2020-12-15 00:42:35.000000,0.0,31770.0,31770.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n279,audioread,beetbox/audioread,,audio,https://github.com/beetbox/audioread,https://github.com/beetbox/audioread,MIT,2011-11-08 19:53:18.000000,2020-12-08 20:08:37.201000,2020-10-20 11:22:05.000000,83,31.0,44.0,359,232.0,cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python.,20.0,26,True,2020-10-20 11:23:09.000000,2.1.9,25.0,audioread,conda-forge/audioread,,,,4908.0,4322.0,https://pypi.org/project/audioread,2020-10-20 11:23:09.000000,586.0,231899.0,235558.0,https://anaconda.org/conda-forge/audioread,2020-12-08 20:08:37.201000,204933.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n280,CNTK,microsoft/CNTK,,ml-frameworks,https://github.com/microsoft/CNTK,https://github.com/microsoft/CNTK,MIT,2015-11-26 09:52:06.000000,2020-12-09 22:21:57.000000,2020-03-31 15:55:14.000000,4409,835.0,2519.0,16969,16116.0,\"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.\",266.0,25,True,2019-04-26 14:13:32.000000,2.7,32.0,cntk,,,,,34.0,,https://pypi.org/project/cntk,2020-12-09 22:21:57.000000,34.0,850.0,1069.0,,,,,,,,3.0,13614.0,,,,,,,,,,,,,,,,,,,,,\n281,spleeter,deezer/spleeter,,audio,https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000000,2021-03-04 12:57:22.000000,2021-03-04 12:57:22.000000,1612,81.0,441.0,15719,455.0,Deezer source separation library including pretrained models.,17.0,25,True,2021-02-26 11:05:30.000000,2.2.0,31.0,spleeter,conda-forge/spleeter,,,['tensorflow'],0.0,,https://pypi.org/project/spleeter,2021-02-26 11:05:30.000000,0.0,4036.0,62971.0,https://anaconda.org/conda-forge/spleeter,2020-06-30 14:33:43.220000,44550.0,,,,,2.0,954576.0,,,,,,,,,,,,,,,,,,,,,\n282,MMDetection,open-mmlab/mmdetection,,image,https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000000,2021-03-04 14:32:53.000000,2021-03-03 09:23:02.000000,4766,337.0,3100.0,13804,1458.0,OpenMMLab Detection Toolbox and Benchmark.,192.0,25,True,2021-03-02 07:35:43.000000,2.10.0,10.0,,,,,['pytorch'],30.0,30.0,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n283,Ludwig,ludwig-ai/ludwig,,ml-frameworks,https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000000,2021-03-02 23:48:50.000000,2021-03-02 19:39:24.000000,887,116.0,412.0,7583,2063.0,Ludwig is a toolbox that allows to train and evaluate deep learning models without the need to write code.,86.0,25,True,2021-02-01 00:23:30.000000,0.3.3,17.0,ludwig,,,,['tensorflow'],93.0,81.0,https://pypi.org/project/ludwig,2021-02-01 00:16:18.000000,12.0,862.0,862.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n284,ParlAI,facebookresearch/ParlAI,,nlp,https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44.000000,2021-03-04 13:37:05.000000,2021-03-02 15:29:52.000000,1455,90.0,858.0,7017,3641.0,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,142.0,25,True,2021-03-01 18:32:02.000000,1.1.0,13.0,parlai,,,,['pytorch'],10.0,10.0,https://pypi.org/project/parlai,2021-01-19 19:10:47.000000,,883.0,883.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n285,Facets Overview,pair-code/facets,,data-viz,https://github.com/PAIR-code/facets,https://github.com/PAIR-code/facets,Apache-2.0,2017-07-07 14:03:03.000000,2021-02-04 17:22:42.000000,2021-02-04 17:22:41.000000,834,76.0,75.0,6516,262.0,Visualizations for machine learning datasets.,28.0,25,True,2019-07-24 15:57:06.000000,1.0.0,4.0,facets-overview,,,,['jupyter'],46.0,40.0,https://pypi.org/project/facets-overview,2019-07-24 15:57:06.000000,6.0,25136.0,25136.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n286,PyText,facebookresearch/pytext,,nlp,https://github.com/facebookresearch/pytext,https://github.com/facebookresearch/pytext,BSD-3-Clause,2018-07-31 23:40:46.000000,2021-03-04 12:25:48.000000,2021-03-04 12:25:43.000000,787,131.0,74.0,6141,1443.0,A natural language modeling framework based on PyTorch.,166.0,25,True,2020-06-08 23:30:58.000000,0.3.3,13.0,pytext-nlp,,,,['pytorch'],66.0,65.0,https://pypi.org/project/pytext-nlp,2020-06-08 22:49:33.000000,1.0,326.0,334.0,,,,,,,,2.0,223.0,,,,,,,,,,,,,,,,,,,,,\n287,Trax,google/trax,,others,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000000,2021-03-04 15:22:31.000000,2021-03-03 23:26:03.000000,545,60.0,107.0,5850,1386.0,Trax Deep Learning with Clear Code and Speed.,60.0,25,True,2020-12-18 17:22:13.000000,1.3.7,20.0,trax,,,,,22.0,22.0,https://pypi.org/project/trax,2020-12-18 17:22:13.000000,,1945.0,1945.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n288,featuretools,alteryx/featuretools,,hyperopt,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17.000000,2021-03-02 13:50:09.000000,2021-03-02 13:50:06.000000,713,100.0,409.0,5440,,An open source python library for automated feature engineering.,49.0,25,True,2021-02-26 21:00:41.000000,0.23.2,67.0,featuretools,conda-forge/featuretools,,,,748.0,678.0,https://pypi.org/project/featuretools,2021-01-29 21:44:27.000000,70.0,48237.0,49947.0,https://anaconda.org/conda-forge/featuretools,2021-03-01 23:04:08.381000,46193.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n289,Milvus,milvus-io/milvus,,nn-search,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000000,2021-03-04 12:21:59.000000,2021-03-02 02:09:19.000000,807,218.0,1976.0,5231,5583.0,\"An open source embedding vector similarity search engine powered by Faiss, NMSLIB and Annoy.\",134.0,25,True,2021-02-23 02:50:59.000000,0.10.6,44.0,pymilvus,,milvusdb/milvus,,,6.0,,https://pypi.org/project/pymilvus,2021-01-21 05:32:04.000000,6.0,4698.0,19242.0,,,,https://hub.docker.com/r/milvusdb/milvus,2021-02-22 02:11:41.310152,9.0,261801.0,2.0,,,,,,,,,,,,,,,,,,,,,,\n290,PyTorch3D,facebookresearch/pytorch3d,,image,https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,MIT,2019-10-25 02:23:45.000000,2021-02-26 17:09:13.000000,2021-02-26 17:09:08.000000,508,61.0,441.0,4522,395.0,PyTorch3D is FAIR's library of reusable components for deep learning with 3D data.,54.0,25,True,2021-02-09 23:13:45.000000,0.4.0,7.0,pytorch3d,pytorch3d/pytorch3d,,,['pytorch'],52.0,52.0,https://pypi.org/project/pytorch3d,2021-02-09 23:13:45.000000,0.0,4391.0,4857.0,https://anaconda.org/pytorch3d/pytorch3d,2021-02-09 22:34:07.773000,7458.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n291,Metaflow,Netflix/metaflow,,ml-experiments,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000000,2021-02-17 05:22:08.000000,2021-02-17 05:22:08.000000,340,126.0,144.0,4140,189.0,Build and manage real-life data science projects with ease.,29.0,25,True,2021-02-09 01:25:56.000000,2.2.7,17.0,metaflow,conda-forge/metaflow,,,,109.0,107.0,https://pypi.org/project/metaflow,2021-02-09 01:25:56.000000,2.0,4178.0,4974.0,https://anaconda.org/conda-forge/metaflow,2021-02-09 03:50:36.131000,11954.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n292,pyAudioAnalysis,tyiannak/pyAudioAnalysis,,audio,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13.000000,2021-02-23 11:34:10.000000,2021-02-19 08:50:12.000000,963,165.0,106.0,3787,676.0,\"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.\",23.0,25,True,2020-09-29 21:30:02.000000,0.3.6,15.0,pyAudioAnalysis,,,,,206.0,184.0,https://pypi.org/project/pyAudioAnalysis,2020-09-29 21:30:02.000000,22.0,6927.0,6927.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n293,BigDL,intel-analytics/BigDL,,distributed-ml,https://github.com/intel-analytics/BigDL,https://github.com/intel-analytics/BigDL,Apache-2.0,2016-08-29 07:59:50.000000,2021-01-21 17:42:35.000000,2021-01-21 17:42:34.000000,904,182.0,727.0,3703,2659.0,BigDL: Distributed Deep Learning Framework for Apache Spark.,70.0,25,True,2021-01-05 05:55:32.000000,0.12.1,37.0,bigdl,,,,,29.0,23.0,https://pypi.org/project/bigdl,2020-12-29 06:08:45.000000,6.0,1348.0,1348.0,,,,,,,,2.0,,,,,,,,,,,,,,,com.intel.analytics.bigdl:bigdl-SPARK_2.4,https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4,2020-12-05 03:54:47.000000,0.0,,,,\n294,yellowbrick,DistrictDataLabs/yellowbrick,,interpretability,https://github.com/DistrictDataLabs/yellowbrick,https://github.com/DistrictDataLabs/yellowbrick,Apache-2.0,2016-05-18 14:12:17.000000,2021-03-03 21:02:28.000000,2021-03-03 21:02:28.000000,478,95.0,519.0,3112,848.0,Visual analysis and diagnostic tools to facilitate machine learning model selection.,97.0,25,True,2021-02-13 20:31:18.000000,1.3.post1,22.0,yellowbrick,,,,['sklearn'],62.0,,https://pypi.org/project/yellowbrick,2021-02-13 20:42:26.000000,62.0,51906.0,51906.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n295,pytorch-summary,sksq96/pytorch-summary,,pytorch-utils,https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04.000000,2021-02-28 05:56:53.000000,2020-08-07 01:16:40.000000,351,100.0,36.0,2955,56.0,Model summary in PyTorch similar to `model.summary()` in Keras.,11.0,25,True,2018-09-26 05:07:28.000000,1.5.1,12.0,torchsummary,,,,['pytorch'],2130.0,2012.0,https://pypi.org/project/torchsummary,2018-09-26 05:07:28.000000,118.0,31093.0,31093.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n296,TensorForce,tensorforce/tensorforce,,reinforcement-learning,https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22.000000,2021-02-28 15:02:10.000000,2021-02-28 15:02:08.000000,489,7.0,544.0,2883,2018.0,Tensorforce: a TensorFlow library for applied reinforcement learning.,76.0,25,True,2020-10-03 16:00:39.000000,0.6.2,12.0,tensorforce,,,,['tensorflow'],46.0,,https://pypi.org/project/tensorforce,2019-09-07 13:56:18.000000,46.0,607.0,607.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n297,vaderSentiment,cjhutto/vaderSentiment,,nlp,https://github.com/cjhutto/vaderSentiment,https://github.com/cjhutto/vaderSentiment,MIT,2014-11-17 16:31:45.000000,2020-07-17 19:47:37.000000,2020-05-22 15:33:43.000000,736,30.0,74.0,2849,122.0,VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based..,10.0,25,True,2020-05-22 15:07:00.000000,3.3.2,15.0,vadersentiment,,,,,2637.0,2351.0,https://pypi.org/project/vadersentiment,2020-05-22 15:07:00.000000,286.0,73897.0,73897.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n298,xLearn,aksnzhy/xlearn,,ml-frameworks,https://github.com/aksnzhy/xlearn,https://github.com/aksnzhy/xlearn,Apache-2.0,2017-06-10 08:09:31.000000,2021-01-28 14:17:44.000000,2020-03-03 10:12:35.000000,489,179.0,107.0,2844,1340.0,\"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..\",30.0,25,True,2019-04-25 02:10:05.000000,0.4.4,15.0,xlearn,,,,,43.0,42.0,https://pypi.org/project/xlearn,2018-12-04 11:05:06.000000,1.0,3154.0,3218.0,,,,,,,,3.0,2338.0,,,,,,,,,,,,,,,,,,,,,\n299,Chartify,spotify/chartify,,data-viz,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05.000000,2021-03-03 21:04:40.000000,2021-02-05 18:49:02.000000,253,40.0,30.0,2843,195.0,Python library that makes it easy for data scientists to create charts.,21.0,25,True,2020-11-02 22:14:08.000000,3.0.3,16.0,chartify,conda-forge/chartify,,,,57.0,52.0,https://pypi.org/project/chartify,2020-11-02 22:14:08.000000,5.0,2654.0,3094.0,https://anaconda.org/conda-forge/chartify,2020-11-07 19:52:50.628000,12335.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n300,Hub,activeloopai/Hub,,data-pipelines,https://github.com/activeloopai/Hub,https://github.com/activeloopai/Hub,MPL-2.0,2019-08-09 06:17:59.000000,2021-03-04 15:17:46.000000,2021-03-04 13:31:11.000000,195,119.0,129.0,2589,1726.0,Fastest unstructured dataset management for TensorFlow/PyTorch. Stream data real-time & version-control it...,69.0,25,True,2021-02-17 10:17:11.000000,1.2.2,83.0,hub,,,,\"['tensorflow', 'pytorch']\",171.0,119.0,https://pypi.org/project/hub,2021-02-18 11:09:41.000000,52.0,611.0,611.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n301,Neural Network Libraries,sony/nnabla,,ml-frameworks,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10.000000,2021-03-03 14:34:30.000000,2021-03-03 14:34:27.000000,301,36.0,24.0,2419,2459.0,Neural Network Libraries.,58.0,25,True,2021-01-30 03:35:55.000000,1.16.0,52.0,nnabla,,,,,34.0,,https://pypi.org/project/nnabla,2021-01-29 14:09:09.000000,34.0,1337.0,1348.0,,,,,,,,3.0,523.0,,,,,,,,,,,,,,,,,,,,,\n302,pygal,Kozea/pygal,,graph,https://github.com/Kozea/pygal,https://github.com/Kozea/pygal,LGPL-3.0,2011-09-23 10:17:50.000000,2020-12-24 20:11:00.000000,2020-10-14 16:41:45.000000,380,164.0,240.0,2327,1012.0,PYthon svg GrAph plotting Library.,69.0,25,False,2017-07-05 09:22:41.000000,2.4.0,74.0,pygal,conda-forge/pygal,,,,1152.0,,https://pypi.org/project/pygal,2020-10-14 13:06:35.000000,1152.0,46329.0,46606.0,https://anaconda.org/conda-forge/pygal,2019-06-04 02:55:56.728000,5836.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n303,Captum,pytorch/captum,,interpretability,https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000000,2021-02-26 01:13:19.000000,2021-02-26 01:13:11.000000,216,51.0,157.0,2182,793.0,Model interpretability and understanding for PyTorch.,69.0,25,True,2021-01-23 18:11:12.000000,0.3.1,5.0,captum,,,,['pytorch'],126.0,126.0,https://pypi.org/project/captum,2021-01-22 20:55:47.000000,0.0,7998.0,7998.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n304,spark-nlp,JohnSnowLabs/spark-nlp,,nlp,https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000000,2021-03-04 15:02:09.000000,2021-03-04 12:07:28.000000,420,72.0,359.0,1982,7000.0,State of the Art Natural Language Processing.,80.0,25,True,2021-02-19 18:42:10.000000,2.7.4,75.0,spark-nlp,,,,['spark'],0.0,,https://pypi.org/project/spark-nlp,2021-02-19 17:47:34.000000,0.0,292089.0,292089.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n305,StellarGraph,stellargraph/stellargraph,,graph,https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51.000000,2021-03-01 14:51:47.000000,2021-02-18 01:03:15.000000,257,219.0,704.0,1782,2515.0,StellarGraph - Machine Learning on Graphs.,32.0,25,True,2020-06-30 05:15:21.000000,1.2.1,25.0,stellargraph,,,,['tensorflow'],52.0,48.0,https://pypi.org/project/stellargraph,2020-06-30 05:10:43.000000,4.0,2465.0,2465.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n306,causalml,uber/causalml,,others,https://github.com/uber/causalml,https://github.com/uber/causalml,Apache-2.0,2019-07-09 02:08:58.000000,2021-02-23 15:54:50.000000,2021-02-19 20:30:06.000000,261,27.0,135.0,1745,305.0,Uplift modeling and causal inference with machine learning algorithms.,23.0,25,True,2021-02-19 20:58:43.000000,0.10.0,13.0,causalml,,,,,14.0,14.0,https://pypi.org/project/causalml,2021-02-19 20:32:15.000000,0.0,8117.0,8117.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n307,pytorch-optimizer,jettify/pytorch-optimizer,,pytorch-utils,https://github.com/jettify/pytorch-optimizer,https://github.com/jettify/pytorch-optimizer,Apache-2.0,2020-01-03 03:16:39.000000,2021-03-04 10:50:28.000000,2021-03-04 10:50:27.000000,163,9.0,25.0,1727,355.0,torch-optimizer -- collection of optimizers for Pytorch.,19.0,25,True,2021-01-01 16:51:15.000000,0.1.0,19.0,torch_optimizer,,,,['pytorch'],134.0,134.0,https://pypi.org/project/torch_optimizer,2021-01-01 16:51:15.000000,0.0,8793.0,8793.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n308,pgmpy,pgmpy/pgmpy,,probabilistics,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000000,2021-03-01 07:56:54.000000,2021-03-01 07:56:42.000000,565,228.0,498.0,1724,6.0,Python Library for learning (Structure and Parameter) and inference (Statistical and Causal) in Bayesian Networks.,91.0,25,True,2020-12-30 13:56:53.000000,0.1.13,12.0,pgmpy,,,,,202.0,190.0,https://pypi.org/project/pgmpy,2020-12-30 13:01:04.000000,12.0,15749.0,15755.0,,,,,,,,3.0,55.0,,,,,,,,,,,,,,,,,,,,,\n309,HyperTools,ContextLab/hypertools,,data-viz,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25.000000,2021-01-06 14:11:39.000000,2021-01-06 14:11:38.000000,151,69.0,122.0,1618,1591.0,A Python toolbox for gaining geometric insights into high-dimensional data.,21.0,25,True,2020-10-02 21:41:53.000000,0.6.3,19.0,hypertools,,,,,112.0,103.0,https://pypi.org/project/hypertools,2020-10-02 21:41:53.000000,9.0,175.0,175.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n310,Pythran,serge-sans-paille/pythran,,others,https://github.com/serge-sans-paille/pythran,https://github.com/serge-sans-paille/pythran,BSD-3-Clause,2012-05-29 08:02:14.000000,2021-02-27 21:58:01.000000,2021-02-27 21:58:01.000000,137,102.0,549.0,1512,3326.0,Ahead of Time compiler for numeric kernels.,48.0,25,True,2020-12-09 20:06:55.000000,0.9.8,45.0,pythran,conda-forge/pythran,,,,74.0,48.0,https://pypi.org/project/pythran,2020-12-11 23:22:49.000000,26.0,3453.0,7337.0,https://anaconda.org/conda-forge/pythran,2021-01-27 16:08:46.611000,132060.0,,,,,2.0,,,,,,,,,,,,,,,,,,,pythran,python-pythran,,\n311,Elephas,maxpumperla/elephas,,distributed-ml,https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19.000000,2021-03-04 00:53:38.000000,2021-02-13 03:53:31.000000,288,23.0,117.0,1451,450.0,Distributed Deep learning with Keras & Spark.,27.0,25,True,2021-02-13 03:54:52.000000,1.4.2,18.0,elephas,,,,\"['keras', 'spark']\",40.0,37.0,https://pypi.org/project/elephas,2021-02-13 03:54:52.000000,3.0,13262.0,13262.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n312,haystack,deepset-ai/haystack,,nlp,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000000,2021-03-04 14:09:09.000000,2021-03-04 14:09:08.000000,274,70.0,424.0,1446,558.0,End-to-end Python framework for building natural language search interfaces to data. Leverages Transformers and the..,37.0,25,True,2021-01-21 17:42:17.000000,0.7.0,34.0,haystack,,,,,202.0,36.0,https://pypi.org/project/haystack,2017-07-03 04:44:52.000000,166.0,510.0,510.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n313,chainercv,chainer/chainercv,,image,https://github.com/chainer/chainercv,https://github.com/chainer/chainercv,MIT,2017-02-13 04:15:10.000000,2020-02-03 01:27:17.000000,2020-01-07 11:48:31.000000,318,54.0,168.0,1430,4930.0,ChainerCV: a Library for Deep Learning in Computer Vision.,39.0,25,False,2019-06-12 11:55:02.000000,0.13.1,24.0,chainercv,,,,,286.0,226.0,https://pypi.org/project/chainercv,2019-06-12 11:55:40.000000,60.0,3004.0,3004.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n314,Ax,facebook/Ax,,hyperopt,https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000000,2021-03-04 05:37:12.000000,2021-03-03 21:31:02.000000,143,42.0,199.0,1421,944.0,Adaptive Experimentation Platform.,93.0,25,True,2021-02-24 16:59:13.000000,0.1.20,21.0,ax-platform,,,,['pytorch'],146.0,142.0,https://pypi.org/project/ax-platform,2021-02-24 16:59:13.000000,4.0,19296.0,19296.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n315,jellyfish,jamesturk/jellyfish,,nlp,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,BSD-2-Clause,2010-07-09 20:41:11.000000,2021-02-24 10:51:11.000000,2020-12-30 16:47:13.000000,125,10.0,86.0,1410,,a python library for doing approximate and phonetic matching of strings.,20.0,25,True,2020-05-21 20:37:01.000000,0.8.2,27.0,jellyfish,conda-forge/jellyfish,,,,2788.0,2142.0,https://pypi.org/project/jellyfish,2020-05-21 20:37:01.000000,646.0,601474.0,603579.0,https://anaconda.org/conda-forge/jellyfish,2021-01-08 15:04:47.681000,113703.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n316,dtreeviz,parrt/dtreeviz,,interpretability,https://github.com/parrt/dtreeviz,https://github.com/parrt/dtreeviz,MIT,2018-08-13 21:45:15.000000,2021-02-24 21:49:25.000000,2021-02-24 21:49:25.000000,190,15.0,72.0,1410,329.0,A python library for decision tree visualization and model interpretation.,16.0,25,True,2021-01-27 00:33:05.000000,1.1.4,21.0,dtreeviz,,,,,116.0,112.0,https://pypi.org/project/dtreeviz,2021-01-27 00:31:39.000000,4.0,12370.0,12370.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n317,TFX,tensorflow/tfx,,data-pipelines,https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000000,2021-03-04 09:12:24.000000,2021-03-04 02:22:22.000000,396,231.0,327.0,1343,3187.0,TFX is an end-to-end platform for deploying production ML pipelines.,105.0,25,True,2021-02-09 22:50:27.000000,0.27.0,42.0,tfx,,,,['tensorflow'],4.0,,https://pypi.org/project/tfx,2021-03-02 02:48:37.000000,4.0,54753.0,54753.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n318,ViZDoom,mwydmuch/ViZDoom,,reinforcement-learning,https://github.com/mwydmuch/ViZDoom,https://github.com/mwydmuch/ViZDoom,MIT,2015-06-26 18:38:23.000000,2021-02-09 10:35:01.000000,2021-02-09 10:35:01.000000,298,87.0,329.0,1172,1464.0,Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information.,44.0,25,True,2020-10-29 15:56:20.000000,1.1.8,19.0,vizdoom,,,,,134.0,110.0,https://pypi.org/project/vizdoom,2020-10-29 15:56:20.000000,24.0,560.0,737.0,,,,,,,,2.0,10623.0,,,,,,,,,,,,,,,,,,,,,\n319,TabPy,tableau/TabPy,,others,https://github.com/tableau/TabPy,https://github.com/tableau/TabPy,MIT,2016-09-27 21:26:03.000000,2021-02-04 23:28:56.000000,2021-02-04 23:28:56.000000,383,10.0,260.0,1035,828.0,Execute Python code on the fly and display results in Tableau visualizations:.,40.0,25,True,2020-11-11 19:06:41.000000,2.3.1,24.0,tabpy,,,,,48.0,48.0,https://pypi.org/project/tabpy,2020-11-11 19:06:41.000000,0.0,8387.0,8387.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n320,TF Model Optimization,tensorflow/model-optimization,,tensorflow-utils,https://github.com/tensorflow/model-optimization,https://github.com/tensorflow/model-optimization,Apache-2.0,2018-10-31 20:34:28.000000,2021-03-03 18:31:06.000000,2021-02-19 01:39:25.000000,221,74.0,91.0,978,482.0,\"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.\",43.0,25,True,2020-09-14 04:46:03.000000,0.5.0,20.0,tensorflow-model-optimization,,,,['tensorflow'],629.0,623.0,https://pypi.org/project/tensorflow-model-optimization,2020-09-14 04:36:08.000000,6.0,54328.0,54328.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n321,ArcGIS API,Esri/arcgis-python-api,,geospatial-data,https://github.com/Esri/arcgis-python-api,https://github.com/Esri/arcgis-python-api,Apache-2.0,2016-03-16 01:09:14.000000,2021-02-19 07:31:38.000000,2021-01-26 04:34:34.000000,716,117.0,206.0,976,3011.0,Documentation and samples for ArcGIS API for Python.,61.0,25,True,2021-01-27 23:12:21.000000,1.8.4,26.0,arcgis,,esridocker/arcgis-api-python-notebook,,,20.0,,https://pypi.org/project/arcgis,2021-01-27 23:04:37.000000,20.0,12771.0,12839.0,,,,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,2020-03-06 00:53:45.164342,32.0,4112.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n322,arviz,arviz-devs/arviz,,interpretability,https://github.com/arviz-devs/arviz,https://github.com/arviz-devs/arviz,Apache-2.0,2015-07-29 11:51:10.000000,2021-03-04 14:28:47.000000,2021-03-03 23:02:07.000000,187,119.0,431.0,954,,Exploratory analysis of Bayesian models with Python.,75.0,25,True,2021-02-21 19:16:30.000000,0.11.2,22.0,arviz,conda-forge/arviz,,,,771.0,735.0,https://pypi.org/project/arviz,2021-02-06 17:00:36.000000,36.0,96307.0,105668.0,https://anaconda.org/conda-forge/arviz,2021-02-21 21:30:03.812000,205886.0,,,,,2.0,98.0,,,,,,,,,,,,,,,,,,,,,\n323,bcolz,Blosc/bcolz,,data-containers,https://github.com/Blosc/bcolz,https://github.com/Blosc/bcolz,BSD-3-Clause,2010-08-18 15:27:02.000000,2020-09-10 12:12:51.000000,2020-09-10 12:12:45.000000,115,126.0,122.0,913,1280.0,A columnar data container that can be compressed.,33.0,25,True,2018-04-13 07:44:26.000000,1.2.1,23.0,bcolz,conda-forge/bcolz,,,,2487.0,1519.0,https://pypi.org/project/bcolz,2018-04-13 07:44:26.000000,968.0,13217.0,17727.0,https://anaconda.org/conda-forge/bcolz,2019-11-05 21:09:48.045000,220998.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n324,PySAL,pysal/pysal,,geospatial-data,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42.000000,2021-02-08 21:30:44.240000,2021-02-01 00:35:48.000000,241,58.0,583.0,824,4119.0,PySAL: Python Spatial Analysis Library Meta-Package.,71.0,25,True,2021-02-02 02:59:42.000000,2.4.0,25.0,pysal,conda-forge/pysal,,,,36.0,,https://pypi.org/project/pysal,2021-02-02 02:59:42.000000,36.0,8386.0,15550.0,https://anaconda.org/conda-forge/pysal,2021-02-08 21:30:44.240000,401217.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n325,kmodes,nicodv/kmodes,,others,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40.000000,2021-02-13 03:26:34.000000,2021-02-13 03:21:38.000000,340,20.0,109.0,816,456.0,\"Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data.\",17.0,25,True,2021-02-13 03:34:23.000000,0.11.0,13.0,kmodes,,,,,485.0,459.0,https://pypi.org/project/kmodes,2021-02-13 03:26:34.000000,26.0,45249.0,45249.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n326,empyrical,quantopian/empyrical,,financial-data,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52.000000,2020-10-14 13:28:13.625000,2020-10-14 13:22:39.000000,232,27.0,26.0,733,167.0,Common financial risk and performance metrics. Used by zipline and pyfolio.,22.0,25,True,2020-10-13 21:29:19.000000,0.5.5,21.0,empyrical,conda-forge/empyrical,,,,760.0,538.0,https://pypi.org/project/empyrical,2020-10-13 21:29:19.000000,222.0,18904.0,19169.0,https://anaconda.org/conda-forge/empyrical,2020-10-14 13:28:13.625000,9821.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n327,Satpy,pytroll/satpy,,geospatial-data,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000000,2021-03-04 14:42:26.000000,2021-03-04 14:42:23.000000,193,305.0,308.0,678,8375.0,Python package for earth-observing satellite data processing.,104.0,25,False,2021-01-07 03:03:07.000000,0.25.1,63.0,satpy,conda-forge/satpy,,,,46.0,40.0,https://pypi.org/project/satpy,2021-01-07 03:03:07.000000,6.0,327.0,2035.0,https://anaconda.org/conda-forge/satpy,2021-01-07 15:09:16.887000,54682.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n328,mahotas,luispedro/mahotas,,image,https://github.com/luispedro/mahotas,https://github.com/luispedro/mahotas,MIT,2010-01-31 00:13:06.000000,2021-01-22 05:47:20.379000,2021-01-13 11:55:02.000000,132,16.0,57.0,671,1276.0,Computer Vision in Python.,30.0,25,True,2020-08-16 17:22:48.000000,1.4.11,57.0,mahotas,conda-forge/mahotas,,,,771.0,581.0,https://pypi.org/project/mahotas,2020-08-16 17:22:48.000000,190.0,14759.0,19086.0,https://anaconda.org/conda-forge/mahotas,2021-01-22 05:47:20.379000,259645.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n329,CLTK,cltk/cltk,,nlp,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000000,2021-03-04 02:49:49.000000,2021-03-04 02:49:49.000000,300,126.0,360.0,636,2772.0,The Classical Language Toolkit.,109.0,25,True,2020-06-22 06:03:33.000000,0.1.121,170.0,cltk,,,,,224.0,156.0,https://pypi.org/project/cltk,2021-02-27 06:10:48.000000,68.0,1171.0,1171.0,,,,,,,,2.0,22.0,,,,,,,,,,,,,,,,,,,,,\n330,pyahocorasick,WojciechMula/pyahocorasick,,nlp,https://github.com/WojciechMula/pyahocorasick,https://github.com/WojciechMula/pyahocorasick,BSD-3-Clause,2013-05-30 19:55:46.000000,2021-01-26 17:43:38.000000,2021-01-26 17:43:28.000000,88,32.0,66.0,585,410.0,Python module (C extension and plain python) implementing Aho-Corasick algorithm.,20.0,25,True,2021-01-26 17:38:47.000000,1.4.1,23.0,pyahocorasick,conda-forge/pyahocorasick,,,,613.0,509.0,https://pypi.org/project/pyahocorasick,2021-01-26 17:38:47.000000,104.0,110112.0,112990.0,https://anaconda.org/conda-forge/pyahocorasick,2020-10-13 12:20:05.350000,112264.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n331,Intake,intake/intake,,data-loading,https://github.com/intake/intake,https://github.com/intake/intake,BSD-2-Clause,2017-08-14 20:44:22.000000,2021-03-02 18:13:33.000000,2021-03-02 18:13:33.000000,95,76.0,193.0,531,1658.0,\"Intake is a lightweight package for finding, investigating, loading and disseminating data.\",56.0,25,True,2021-02-17 16:43:52.000000,0.6.1,20.0,intake,conda-forge/intake,,,,312.0,238.0,https://pypi.org/project/intake,2021-02-17 16:43:52.000000,74.0,2935.0,5206.0,https://anaconda.org/conda-forge/intake,2021-02-17 18:41:59.119000,63609.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n332,mpi4py,mpi4py/mpi4py,,distributed-ml,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-3-Clause,2013-09-05 14:44:25.000000,2021-03-03 07:07:28.000000,2021-03-03 07:07:28.000000,63,4.0,8.0,387,2220.0,Python bindings for MPI.,14.0,25,True,2020-07-27 06:40:19.000000,3.0.3,13.0,mpi4py,conda-forge/mpi4py,,,,752.0,,https://pypi.org/project/mpi4py,2019-11-04 13:05:10.000000,752.0,125044.0,135373.0,https://anaconda.org/conda-forge/mpi4py,2021-01-19 17:48:43.682000,551992.0,,,,,2.0,863.0,,,,,,,,,,,,,,,,,,,,,\n333,PyNNDescent,lmcinnes/pynndescent,,nn-search,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000000,2021-02-22 15:53:08.000000,2021-02-22 15:53:08.000000,48,30.0,33.0,374,487.0,A Python nearest neighbor descent for approximate nearest neighbors.,13.0,25,True,2021-02-08 20:03:04.000000,0.5.2,21.0,pynndescent,conda-forge/pynndescent,,,,257.0,251.0,https://pypi.org/project/pynndescent,2021-02-08 20:03:04.000000,6.0,81896.0,84677.0,https://anaconda.org/conda-forge/pynndescent,2021-02-09 04:30:06.804000,58411.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n334,python-soundfile,bastibe/python-soundfile,,audio,https://github.com/bastibe/python-soundfile,https://github.com/bastibe/python-soundfile,BSD-3-Clause,2013-08-27 13:36:52.000000,2021-01-13 07:52:51.000000,2020-12-01 18:42:47.000000,42,57.0,87.0,369,493.0,\"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.\",19.0,25,True,2019-12-04 10:03:39.000000,0.10.3post1,7.0,soundfile,,,,,6568.0,5828.0,https://pypi.org/project/soundfile,2019-11-27 12:16:19.000000,740.0,263712.0,263737.0,,,,,,,,2.0,2198.0,,,,,,,,,,,,,,,,,,,,,\n335,hvPlot,holoviz/hvplot,,data-viz,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000000,2021-03-04 01:00:43.938000,2021-03-03 21:11:39.000000,50,110.0,225.0,360,370.0,\"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.\",22.0,25,True,2021-03-03 21:16:38.000000,0.7.1,13.0,hvplot,conda-forge/hvplot,,,,513.0,483.0,https://pypi.org/project/hvplot,2021-03-03 21:16:38.000000,30.0,15000.0,17225.0,https://anaconda.org/conda-forge/hvplot,2021-03-04 01:00:43.938000,68985.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n336,tabulator-py,frictionlessdata/tabulator-py,,data-loading,https://github.com/frictionlessdata/tabulator-py,https://github.com/frictionlessdata/tabulator-py,MIT,2015-08-24 05:34:38.000000,2021-02-24 09:38:30.000000,2021-02-24 09:38:26.000000,41,,177.0,203,653.0,Python library for reading and writing tabular data via streams.,24.0,25,True,2021-02-24 09:38:45.000000,1.53.4,139.0,tabulator,conda-forge/tabulator-py,,,,583.0,479.0,https://pypi.org/project/tabulator,2021-02-11 06:49:57.000000,104.0,57379.0,58240.0,https://anaconda.org/conda-forge/tabulator-py,2018-07-24 12:57:07.018000,38768.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n337,EfficientNet-PyTorch,lukemelas/EfficientNet-PyTorch,,pytorch-utils,https://github.com/lukemelas/EfficientNet-PyTorch,https://github.com/lukemelas/EfficientNet-PyTorch,Apache-2.0,2019-05-30 05:24:11.000000,2021-02-09 15:32:57.000000,2020-10-09 16:24:04.000000,1102,114.0,117.0,5511,141.0,A PyTorch implementation of EfficientNet.,21.0,24,True,2020-08-26 03:00:05.000000,0.7.0,12.0,efficientnet-pytorch,,,,['pytorch'],14.0,,https://pypi.org/project/efficientnet-pytorch,2020-08-26 03:00:05.000000,14.0,25704.0,55353.0,,,,,,,,2.0,355792.0,,,,,,,,,,,,,,,,,,,,,\n338,keras-rl,keras-rl/keras-rl,,reinforcement-learning,https://github.com/keras-rl/keras-rl,https://github.com/keras-rl/keras-rl,MIT,2016-07-02 15:53:12.000000,2020-11-20 07:32:13.000000,2019-11-11 22:14:54.000000,1284,39.0,211.0,4961,308.0,Deep Reinforcement Learning for Keras.,40.0,24,False,2018-06-01 07:52:24.000000,0.4.2,8.0,keras-rl,,,,['tensorflow'],567.0,465.0,https://pypi.org/project/keras-rl,2018-06-01 07:52:24.000000,102.0,892.0,892.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n339,Edward,blei-lab/edward,,probabilistics,https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05.000000,2019-10-22 20:30:48.000000,2018-07-25 01:28:08.000000,767,212.0,327.0,4606,1796.0,\"A probabilistic programming language in TensorFlow. Deep generative models, variational inference.\",87.0,24,False,2018-01-22 06:03:37.000000,1.3.5,28.0,edward,,,,['tensorflow'],288.0,210.0,https://pypi.org/project/edward,2018-01-22 06:03:05.000000,78.0,434.0,434.0,,,,,,,,3.0,10.0,,,,,,,,,,,,,,,,,,,,,\n340,DeepSpeed,microsoft/DeepSpeed,,distributed-ml,https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,MIT,2020-01-23 18:35:18.000000,2021-03-04 10:01:09.000000,2021-03-03 18:24:04.000000,409,158.0,180.0,4418,444.0,\"DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.\",47.0,24,True,2021-02-02 18:36:29.000000,0.3.11,19.0,deepspeed,,deepspeed/deepspeed,,['pytorch'],10.0,10.0,https://pypi.org/project/deepspeed,2021-02-02 18:36:29.000000,,3814.0,4341.0,,,,https://hub.docker.com/r/deepspeed/deepspeed,2021-02-20 21:35:37.092937,2.0,7384.0,2.0,,,,,,,,,,,,,,,,,,,,,,\n341,Augmentor,mdbloice/Augmentor,,image,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55.000000,2020-11-10 05:20:01.000000,2020-03-09 11:32:02.000000,778,115.0,67.0,4331,511.0,Image augmentation library in Python for machine learning.,22.0,24,True,2020-01-17 11:59:53.000000,0.2.8,20.0,Augmentor,,,,,325.0,283.0,https://pypi.org/project/Augmentor,2020-01-17 11:59:53.000000,42.0,5670.0,5670.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n342,Lucid,tensorflow/lucid,,interpretability,https://github.com/tensorflow/lucid,https://github.com/tensorflow/lucid,Apache-2.0,2018-01-25 17:41:44.000000,2021-01-26 21:54:54.000000,2021-01-26 21:54:53.000000,559,67.0,94.0,4087,636.0,A collection of infrastructure and tools for research in neural network interpretability.,35.0,24,True,2019-01-17 19:46:43.000000,0.3.9-alpha,16.0,lucid,,,,['tensorflow'],497.0,491.0,https://pypi.org/project/lucid,2018-12-20 00:26:11.000000,6.0,585.0,585.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n343,VisualDL,PaddlePaddle/VisualDL,,ml-experiments,https://github.com/PaddlePaddle/VisualDL,https://github.com/PaddlePaddle/VisualDL,Apache-2.0,2017-12-20 12:34:31.000000,2021-02-25 09:37:36.000000,2021-02-20 13:49:02.000000,527,25.0,317.0,3859,,Deep Learning Visualization Toolkit.,28.0,24,True,2021-02-01 09:03:52.000000,2.1.1,31.0,visualdl,,,,['paddle'],191.0,181.0,https://pypi.org/project/visualdl,2021-01-29 09:44:14.000000,10.0,3082.0,3092.0,,,,,,,,2.0,92.0,,,,,,,,,,,,,,,,,,,,,\n344,Great Expectations,great-expectations/great_expectations,,data-pipelines,https://github.com/great-expectations/great_expectations,https://github.com/great-expectations/great_expectations,Apache-2.0,2017-09-11 00:18:46.000000,2021-03-04 14:25:05.000000,2021-03-04 04:21:21.000000,474,161.0,622.0,3825,,Always know what to expect from your data.,167.0,24,True,2021-02-25 00:29:50.000000,0.13.11,102.0,great_expectations,,,,,6.0,,https://pypi.org/project/great_expectations,2021-02-25 00:19:55.000000,6.0,260337.0,260337.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n345,Lasagne,Lasagne/Lasagne,,ml-frameworks,https://github.com/Lasagne/Lasagne,https://github.com/Lasagne/Lasagne,MIT,2014-09-11 15:31:41.000000,2019-11-20 20:28:31.000000,2019-11-20 20:28:30.000000,983,139.0,402.0,3774,1161.0,Lightweight library to build and train neural networks in Theano.,72.0,24,False,2015-08-13 21:00:09.000000,0.1,1.0,lasagne,,,,,1293.0,787.0,https://pypi.org/project/lasagne,2015-08-13 21:10:53.000000,506.0,1164.0,1164.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n346,TensorFlowOnSpark,yahoo/TensorFlowOnSpark,,distributed-ml,https://github.com/yahoo/TensorFlowOnSpark,https://github.com/yahoo/TensorFlowOnSpark,Apache-2.0,2017-01-20 18:15:57.000000,2021-01-27 02:31:23.000000,2021-01-27 02:31:19.000000,937,9.0,336.0,3633,592.0,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,33.0,24,True,2020-12-18 21:57:51.000000,2.2.2,29.0,tensorflowonspark,,,,\"['tensorflow', 'spark']\",5.0,,https://pypi.org/project/tensorflowonspark,2020-12-18 18:32:09.000000,5.0,49539.0,49539.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n347,torchdiffeq,rtqichen/torchdiffeq,,pytorch-utils,https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25.000000,2021-02-06 20:33:16.000000,2021-02-06 20:32:52.000000,584,20.0,109.0,3389,212.0,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,19.0,24,True,2021-02-06 20:33:16.000000,0.2.1,5.0,torchdiffeq,,,,['pytorch'],70.0,70.0,https://pypi.org/project/torchdiffeq,2021-02-06 20:33:16.000000,0.0,1346.0,1346.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n348,T5,google-research/text-to-text-transfer-transformer,,nlp,https://github.com/google-research/text-to-text-transfer-transformer,https://github.com/google-research/text-to-text-transfer-transformer,Apache-2.0,2019-10-17 21:45:14.000000,2021-03-04 04:29:39.000000,2021-03-04 04:29:29.000000,440,40.0,,3228,442.0,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,33.0,24,True,2021-03-03 15:19:14.000000,0.9.0,26.0,t5,,,,['tensorflow'],23.0,23.0,https://pypi.org/project/t5,2021-03-03 15:19:14.000000,0.0,4442.0,4442.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n349,Stable Baselines,hill-a/stable-baselines,,reinforcement-learning,https://github.com/hill-a/stable-baselines,https://github.com/hill-a/stable-baselines,MIT,2018-07-02 14:28:59.000000,2021-02-22 15:02:15.000000,2020-12-23 16:27:08.000000,589,131.0,733.0,2959,835.0,\"A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.\",110.0,24,True,2020-08-05 19:45:11.000000,2.10.1,30.0,stable-baselines,,,,,50.0,,https://pypi.org/project/stable-baselines,2020-08-05 19:42:14.000000,50.0,5572.0,5572.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n350,PML,KevinMusgrave/pytorch-metric-learning,,pytorch-utils,https://github.com/KevinMusgrave/pytorch-metric-learning,https://github.com/KevinMusgrave/pytorch-metric-learning,MIT,2019-10-23 17:20:35.000000,2021-03-04 03:07:57.000000,2021-03-04 03:07:38.000000,385,36.0,186.0,2798,629.0,\"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.\",14.0,24,True,2021-03-04 00:46:21.000000,0.9.97,148.0,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,,['pytorch'],55.0,55.0,https://pypi.org/project/pytorch-metric-learning,2019-12-27 11:28:11.000000,0.0,3356.0,3450.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2021-03-04 02:42:20.027000,1328.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n351,Sumy,miso-belica/sumy,,nlp,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48.000000,2020-11-21 17:08:35.000000,2020-11-21 17:08:33.000000,442,10.0,78.0,2508,397.0,Module for automatic summarization of text documents and HTML pages.,20.0,24,True,2019-05-19 14:39:21.000000,0.8.1,13.0,sumy,,,,,866.0,674.0,https://pypi.org/project/sumy,2019-05-19 14:38:29.000000,192.0,5569.0,5569.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n352,ClearML,allegroai/clearml,,ml-experiments,https://github.com/allegroai/clearml,https://github.com/allegroai/clearml,Apache-2.0,2019-06-10 08:18:32.000000,2021-03-03 13:05:37.000000,2021-03-03 13:05:22.000000,329,65.0,208.0,2199,1072.0,\"ClearML - Auto-Magical Suite of tools to streamline your ML workflow. Experiment Manager, ML-Ops and Data-Management.\",26.0,24,True,2021-01-13 12:56:36.000000,0.17.4,39.0,clearml,,allegroai/trains,,,16.0,16.0,https://pypi.org/project/clearml,2021-02-23 08:45:41.000000,0.0,4492.0,5933.0,,,,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,29981.0,2.0,296.0,,,,,,,,,,,,,,,,,,,,,\n353,Arctic,man-group/arctic,,data-containers,https://github.com/man-group/arctic,https://github.com/man-group/arctic,LGPL-2.1,2015-05-29 13:37:30.000000,2021-02-05 16:08:56.000000,2021-01-26 00:14:21.000000,439,88.0,422.0,2195,1067.0,Arctic is a high performance datastore for numeric data.,71.0,24,True,2020-12-01 23:17:26.000000,1.79.4,83.0,arctic,conda-forge/arctic,,,,148.0,106.0,https://pypi.org/project/arctic,2020-12-01 23:16:12.000000,42.0,1747.0,2327.0,https://anaconda.org/conda-forge/arctic,2019-12-16 08:57:24.231000,12752.0,,,,,3.0,96.0,,,,,,,,,,,,,,,,,,,,,\n354,scikit-plot,reiinakano/scikit-plot,,interpretability,https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59.000000,2021-02-26 14:37:45.000000,2018-08-19 12:37:47.000000,246,21.0,39.0,2041,130.0,An intuitive library to add plotting functionality to scikit-learn objects.,13.0,24,False,2018-08-19 12:21:01.000000,0.3.7,27.0,scikit-plot,conda-forge/scikit-plot,,,['sklearn'],835.0,781.0,https://pypi.org/project/scikit-plot,2018-08-19 12:18:46.000000,54.0,39195.0,41071.0,https://anaconda.org/conda-forge/scikit-plot,2019-06-05 14:23:59.043000,82553.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n355,fastNLP,fastnlp/fastNLP,,nlp,https://github.com/fastnlp/fastNLP,https://github.com/fastnlp/fastNLP,Apache-2.0,2018-03-07 13:30:20.000000,2021-02-23 11:04:05.000000,2021-02-23 11:04:05.000000,351,16.0,127.0,2031,1707.0,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,49.0,24,True,2020-11-06 15:31:29.000000,0.6.0,10.0,fastnlp,,,,,26.0,25.0,https://pypi.org/project/fastnlp,2019-02-04 02:35:37.000000,1.0,451.0,452.0,,,,,,,,3.0,54.0,,,,,,,,,,,,,,,,,,,,,\n356,pytorch-nlp,PetrochukM/PyTorch-NLP,,nlp,https://github.com/PetrochukM/PyTorch-NLP,https://github.com/PetrochukM/PyTorch-NLP,BSD-3-Clause,2018-02-25 05:00:36.000000,2021-01-26 22:24:03.000000,2021-01-26 22:23:57.000000,223,14.0,49.0,1873,445.0,Basic Utilities for PyTorch Natural Language Processing (NLP).,17.0,24,True,2019-11-04 05:16:00.000000,0.5.0,19.0,pytorch-nlp,,,,['pytorch'],201.0,183.0,https://pypi.org/project/pytorch-nlp,2019-11-04 04:35:18.000000,18.0,2244.0,2244.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n357,facenet-pytorch,timesler/facenet-pytorch,,image,https://github.com/timesler/facenet-pytorch,https://github.com/timesler/facenet-pytorch,MIT,2019-05-25 01:29:24.000000,2020-11-19 06:56:24.000000,2020-11-19 06:56:23.000000,396,31.0,85.0,1869,229.0,Pretrained Pytorch face detection (MTCNN) and recognition (InceptionResnet) models.,11.0,24,True,2020-11-19 06:49:36.000000,2.5.1,30.0,facenet-pytorch,,,,['pytorch'],301.0,295.0,https://pypi.org/project/facenet-pytorch,2020-11-19 06:49:36.000000,6.0,2929.0,7061.0,,,,,,,,3.0,66113.0,,,,,,,,,,,,,,,,,,,,,\n358,Alphalens,quantopian/alphalens,,financial-data,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15.000000,2020-09-05 16:48:14.000000,2020-04-27 18:40:41.000000,676,39.0,145.0,1793,522.0,Performance analysis of predictive (alpha) stock factors.,25.0,24,True,2020-04-30 15:42:52.000000,0.4.0,10.0,alphalens,conda-forge/alphalens,,,,381.0,353.0,https://pypi.org/project/alphalens,2020-04-27 21:03:10.000000,28.0,1918.0,2207.0,https://anaconda.org/conda-forge/alphalens,2020-05-16 13:52:44.922000,10712.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n359,polyglot,aboSamoor/polyglot,,nlp,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,GPL-3.0,2014-06-30 02:07:45.000000,2020-10-27 10:55:53.000000,2020-09-22 22:35:28.000000,292,132.0,63.0,1780,271.0,Multilingual text (NLP) processing toolkit.,26.0,24,False,2016-07-03 20:05:42.000000,16.7.4,8.0,polyglot,,,,,579.0,449.0,https://pypi.org/project/polyglot,2016-07-03 20:05:42.000000,130.0,30975.0,30975.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n360,TorchServe,pytorch/serve,,model-serialisation,https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000000,2021-03-04 03:32:52.000000,2021-03-03 22:11:43.000000,239,130.0,413.0,1610,1055.0,Model Serving on PyTorch.,61.0,24,True,2020-12-18 01:38:41.000000,0.3.0,6.0,torchserve,pytorch/torchserve,pytorch/torchserve,,['pytorch'],30.0,30.0,https://pypi.org/project/torchserve,2020-12-17 19:04:04.000000,0.0,1739.0,5501.0,https://anaconda.org/pytorch/torchserve,2020-12-17 18:30:12.593000,6870.0,https://hub.docker.com/r/pytorch/torchserve,2020-12-18 18:32:51.570336,3.0,53070.0,2.0,195.0,,,,,,,,,,,,,,,,,,,,,\n361,category_encoders,scikit-learn-contrib/category_encoders,,sklearn-utils,https://github.com/scikit-learn-contrib/category_encoders,https://github.com/scikit-learn-contrib/category_encoders,BSD-3-Clause,2015-11-29 19:32:37.000000,2020-11-10 15:17:22.000000,2020-07-31 10:43:44.000000,294,66.0,135.0,1598,671.0,A library of sklearn compatible categorical variable encoders.,35.0,24,True,2020-04-29 02:09:51.000000,2.2.2,19.0,category_encoders,conda-forge/category_encoders,,,['sklearn'],23.0,,https://pypi.org/project/category_encoders,2018-10-14 14:15:54.000000,23.0,126351.0,128046.0,https://anaconda.org/conda-forge/category_encoders,2020-04-29 22:37:35.948000,94960.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n362,swifter,jmcarpenter2/swifter,,data-containers,https://github.com/jmcarpenter2/swifter,https://github.com/jmcarpenter2/swifter,MIT,2018-04-07 21:37:19.000000,2020-12-19 19:11:45.000000,2020-12-19 19:11:44.000000,72,15.0,76.0,1559,423.0,A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner.,14.0,24,True,2020-10-11 22:42:57.000000,1.0.7,71.0,swifter,conda-forge/swifter,,,['pandas'],326.0,294.0,https://pypi.org/project/swifter,2020-10-11 22:42:57.000000,32.0,40101.0,43636.0,https://anaconda.org/conda-forge/swifter,2020-09-20 15:08:56.885000,81318.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n363,PyTextRank,DerwenAI/pytextrank,,nlp,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000000,2021-03-01 00:08:52.000000,2021-03-01 00:08:52.000000,300,18.0,39.0,1498,201.0,Python implementation of TextRank for phrase extraction and summarization of text documents.,13.0,24,True,2021-02-27 08:54:09.000000,3.0.1,13.0,pytextrank,,,,,137.0,125.0,https://pypi.org/project/pytextrank,2021-02-27 08:54:09.000000,12.0,4450.0,4450.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n364,tslearn,tslearn-team/tslearn,,time-series-data,https://github.com/tslearn-team/tslearn,https://github.com/tslearn-team/tslearn,BSD-2-Clause,2017-05-04 13:08:13.000000,2021-01-26 12:41:22.000000,2021-01-25 15:18:03.000000,221,58.0,167.0,1494,,A machine learning toolkit dedicated to time-series data.,29.0,24,True,2021-01-25 15:19:11.000000,0.5.0.5,92.0,tslearn,conda-forge/tslearn,,,['sklearn'],223.0,201.0,https://pypi.org/project/tslearn,2021-01-25 15:28:45.000000,22.0,53841.0,59116.0,https://anaconda.org/conda-forge/tslearn,2021-01-25 17:55:55.394000,189933.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n365,sklearn-contrib-lightning,scikit-learn-contrib/lightning,,sklearn-utils,https://github.com/scikit-learn-contrib/lightning,https://github.com/scikit-learn-contrib/lightning,BSD-3-Clause,2012-01-11 13:53:52.000000,2021-01-05 05:54:02.000000,2021-01-04 18:02:23.000000,192,47.0,36.0,1436,700.0,\"Large-scale linear classification, regression and ranking in Python.\",16.0,24,True,2020-12-16 17:26:49.000000,0.6.0,8.0,sklearn-contrib-lightning,conda-forge/sklearn-contrib-lightning,,,['sklearn'],87.0,77.0,https://pypi.org/project/sklearn-contrib-lightning,2020-12-16 17:26:49.000000,10.0,260.0,2613.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2020-12-20 22:58:20.890000,131790.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n366,Pandaral·lel,nalepae/pandarallel,,data-containers,https://github.com/nalepae/pandarallel,https://github.com/nalepae/pandarallel,BSD-3-Clause,2019-03-10 11:58:29.000000,2021-02-04 21:35:01.000000,2021-02-04 21:27:26.000000,97,66.0,55.0,1431,114.0,A simple and efficient tool to parallelize Pandas operations on all availableCPUs.,14.0,24,True,2021-02-04 21:35:01.000000,1.5.2,29.0,pandarallel,,,,\"['pandas', 'jupyter']\",156.0,156.0,https://pypi.org/project/pandarallel,2021-02-04 21:35:01.000000,0.0,74207.0,74207.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n367,streamparse,Parsely/streamparse,,data-pipelines,https://github.com/Parsely/streamparse,https://github.com/Parsely/streamparse,Apache-2.0,2014-05-02 20:33:50.000000,2020-12-18 18:44:04.000000,2020-12-18 18:43:59.000000,219,69.0,263.0,1426,1059.0,\"Run Python in Apache Storm topologies. Pythonic API, CLI tooling, and a topology DSL.\",40.0,24,True,2020-10-07 19:53:15.000000,4.0.0,47.0,streamparse,,,,,99.0,47.0,https://pypi.org/project/streamparse,2020-10-07 19:45:19.000000,52.0,1295.0,1295.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n368,mtcnn,ipazc/mtcnn,,image,https://github.com/ipazc/mtcnn,https://github.com/ipazc/mtcnn,MIT,2018-01-05 04:08:32.000000,2021-02-03 15:49:06.000000,2021-01-13 23:50:58.000000,373,53.0,36.0,1418,55.0,\"MTCNN face detection implementation for TensorFlow, as a PIP package.\",14.0,24,True,2019-11-14 17:37:05.000000,0.1.0,10.0,mtcnn,,,,['tensorflow'],945.0,903.0,https://pypi.org/project/mtcnn,2019-11-14 17:37:05.000000,42.0,7621.0,7621.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n369,IB-insync,erdewit/ib_insync,,financial-data,https://github.com/erdewit/ib_insync,https://github.com/erdewit/ib_insync,BSD-2-Clause,2017-07-12 12:09:24.000000,2021-02-27 11:43:06.000000,2021-02-27 11:42:59.000000,405,1.0,291.0,1302,558.0,Python sync/async framework for Interactive Brokers API.,26.0,24,True,2020-11-03 13:37:57.000000,0.9.64,89.0,ib_insync,conda-forge/ib-insync,,,,12.0,,https://pypi.org/project/ib_insync,2020-11-03 13:37:57.000000,12.0,3306.0,3698.0,https://anaconda.org/conda-forge/ib-insync,2021-02-25 02:28:19.625000,7849.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n370,TNT,pytorch/tnt,,ml-experiments,https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58.000000,2021-01-22 09:14:29.000000,2021-01-05 19:36:17.000000,186,30.0,34.0,1287,156.0,\"Simple tools for logging and visualizing, loading and training.\",35.0,24,True,2019-11-15 12:57:59.000000,0.0.5.1,3.0,torchnet,,,,['pytorch'],581.0,531.0,https://pypi.org/project/torchnet,2018-07-29 23:16:03.000000,50.0,2761.0,2761.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n371,Fairness 360,Trusted-AI/AIF360,,interpretability,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15.000000,2021-02-24 22:18:39.000000,2021-02-22 19:37:29.000000,411,40.0,48.0,1242,312.0,\"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..\",43.0,24,True,2020-06-02 22:59:53.000000,0.3.0,8.0,aif360,,,,,74.0,70.0,https://pypi.org/project/aif360,2020-06-02 22:49:24.000000,4.0,2942.0,2942.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n372,sense2vec,explosion/sense2vec,,nlp,https://github.com/explosion/sense2vec,https://github.com/explosion/sense2vec,MIT,2016-01-23 22:15:49.000000,2021-03-03 09:08:52.000000,2021-03-03 09:08:52.000000,204,15.0,82.0,1171,451.0,Contextually-keyed word vectors.,15.0,24,True,2021-02-07 06:12:02.000000,2.0.0,21.0,sense2vec,conda-forge/sense2vec,,,,63.0,51.0,https://pypi.org/project/sense2vec,2021-02-07 06:12:02.000000,12.0,2127.0,3385.0,https://anaconda.org/conda-forge/sense2vec,2020-03-16 22:19:07.337000,15716.0,,,,,3.0,13492.0,,,,,,,,,,,,,,,,,,,,,\n373,metric-learn,scikit-learn-contrib/metric-learn,,others,https://github.com/scikit-learn-contrib/metric-learn,https://github.com/scikit-learn-contrib/metric-learn,MIT,2013-11-02 08:29:47.000000,2021-03-01 21:22:38.000000,2020-08-04 01:35:39.000000,206,47.0,109.0,1118,263.0,Metric learning algorithms in Python.,19.0,24,True,2020-07-02 12:59:23.000000,0.6.2,10.0,metric-learn,,,,['sklearn'],141.0,123.0,https://pypi.org/project/metric-learn,2020-07-02 12:59:23.000000,18.0,8563.0,8563.0,,,,,,,,2.0,,,2.0,,,,,,,,,,,,,,,,,,,\n374,petastorm,uber/petastorm,,distributed-ml,https://github.com/uber/petastorm,https://github.com/uber/petastorm,Apache-2.0,2018-06-15 23:15:29.000000,2021-02-03 01:11:09.000000,2021-02-03 01:11:08.000000,187,124.0,114.0,1094,616.0,Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets..,38.0,24,True,2020-12-15 18:37:49.000000,0.9.8,64.0,petastorm,,,,,27.0,27.0,https://pypi.org/project/petastorm,2020-12-15 18:37:49.000000,0.0,41459.0,41468.0,,,,,,,,2.0,288.0,,,,,,,,,,,,,,,,,,,,,\n375,livelossplot,stared/livelossplot,,ml-experiments,https://github.com/stared/livelossplot,https://github.com/stared/livelossplot,MIT,2018-03-10 17:51:43.000000,2021-02-07 23:25:37.000000,2021-02-07 23:24:31.000000,130,4.0,70.0,1046,323.0,\"Live training loss plot in Jupyter Notebook for Keras, PyTorch and others.\",16.0,24,True,2021-02-03 16:25:47.000000,0.5.4,24.0,livelossplot,,,,['jupyter'],465.0,455.0,https://pypi.org/project/livelossplot,2021-02-03 16:25:47.000000,10.0,14337.0,14337.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n376,bt,pmorissette/bt,,financial-data,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28.000000,2021-03-02 14:20:40.000000,2021-03-02 14:20:40.000000,264,53.0,171.0,978,414.0,bt - flexible backtesting for Python.,21.0,24,True,2021-02-01 05:24:40.000000,0.2.8,24.0,bt,,,,,66.0,46.0,https://pypi.org/project/bt,2021-02-01 05:24:40.000000,20.0,1715.0,1715.0,,,,,,,,2.0,,,2.0,,,,,,,,,,,,,,,,,,,\n377,Streamz,python-streamz/streamz,,time-series-data,https://github.com/python-streamz/streamz,https://github.com/python-streamz/streamz,BSD-3-Clause,2017-04-04 21:45:49.000000,2021-01-15 14:38:35.032000,2021-01-14 20:46:26.000000,113,91.0,127.0,915,733.0,Real-time stream processing for python.,38.0,24,True,2021-01-14 20:47:38.000000,0.6.2,15.0,streamz,conda-forge/streamz,,,,208.0,192.0,https://pypi.org/project/streamz,2021-01-14 20:47:38.000000,16.0,1963.0,4960.0,https://anaconda.org/conda-forge/streamz,2021-01-15 14:38:35.032000,125894.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n378,spacy-transformers,explosion/spacy-transformers,,nlp,https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000000,2021-03-03 09:58:01.000000,2021-03-03 09:50:51.000000,103,48.0,,909,1320.0,\"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.\",15.0,24,True,2021-02-02 10:57:09.000000,1.0.1,44.0,spacy-transformers,,,,['spacy'],96.0,90.0,https://pypi.org/project/spacy-transformers,2021-02-02 09:54:58.000000,6.0,16097.0,16097.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n379,SciSpacy,allenai/scispacy,,nlp,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52.000000,2021-02-23 17:31:33.000000,2021-02-23 17:31:33.000000,125,19.0,138.0,845,922.0,A full spaCy pipeline and models for scientific/biomedical documents.,18.0,24,True,2021-02-12 22:56:06.000000,0.4.0,10.0,scispacy,,,,,225.0,213.0,https://pypi.org/project/scispacy,2021-02-12 22:56:06.000000,12.0,9223.0,9223.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n380,ffn,pmorissette/ffn,,financial-data,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09.000000,2021-02-18 10:34:12.000000,2021-02-18 10:34:06.000000,186,19.0,63.0,789,339.0,ffn - a financial function library for Python.,25.0,24,True,2021-02-01 04:38:52.000000,0.3.5,26.0,ffn,,,,,143.0,101.0,https://pypi.org/project/ffn,2021-02-01 04:35:47.000000,42.0,7438.0,7438.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n381,PennyLane,PennyLaneAI/PennyLane,,others,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000000,2021-03-04 15:11:46.000000,2021-03-03 14:42:25.000000,222,56.0,249.0,787,1817.0,PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum..,42.0,24,True,2021-02-12 15:50:08.000000,0.14.1,20.0,pennylane,,,,,20.0,,https://pypi.org/project/pennylane,2021-02-12 15:49:56.000000,20.0,2858.0,2860.0,,,,,,,,2.0,56.0,,,,,,,,,,,,,,,,,,,,,\n382,ktrain,amaiya/ktrain,,ml-frameworks,https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39.000000,2021-03-02 14:12:33.000000,2021-01-29 15:46:22.000000,184,10.0,301.0,752,2156.0,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,12.0,24,True,2021-01-28 01:04:41.000000,0.25.4,147.0,ktrain,,,,['tensorflow'],131.0,130.0,https://pypi.org/project/ktrain,2021-01-28 01:03:31.000000,1.0,4305.0,4305.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n383,PySwarms,ljvmiranda921/pyswarms,,others,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45.000000,2021-02-19 21:21:45.000000,2021-01-03 04:18:07.000000,234,16.0,155.0,733,405.0,A research toolkit for particle swarm optimization in Python.,42.0,24,True,2021-01-03 21:34:15.000000,1.3.0,20.0,pyswarms,,,,,93.0,93.0,https://pypi.org/project/pyswarms,2021-01-03 21:34:15.000000,0.0,2973.0,2973.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n384,Singer,singer-io/getting-started,,data-loading,https://github.com/singer-io/getting-started,https://github.com/singer-io/getting-started,AGPL-3.0,2016-10-31 16:53:56.000000,2021-02-25 20:41:17.000000,2020-12-04 20:57:19.000000,99,20.0,16.0,715,173.0,\"Standard for moving data between databases, web APIs, files, queues, and just about anything else you can think of.\",26.0,24,False,2021-02-25 20:41:17.000000,5.11.0,102.0,singer-python,,,,,300.0,,https://pypi.org/project/singer-python,2021-02-25 20:41:17.000000,300.0,37702.0,37702.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n385,Hail,hail-is/hail,,medical-data,https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000000,2021-03-04 15:06:31.000000,2021-03-03 20:54:50.000000,181,323.0,1938.0,704,7617.0,Scalable genomic data analysis.,69.0,24,True,2021-03-02 01:57:13.000000,0.2.63,83.0,hail,,,,['spark'],31.0,31.0,https://pypi.org/project/hail,2021-03-02 01:57:18.000000,0.0,1528.0,1528.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n386,dask-ml,dask/dask-ml,,distributed-ml,https://github.com/dask/dask-ml,https://github.com/dask/dask-ml,BSD-3-Clause,2017-06-15 15:56:06.000000,2021-02-27 15:44:35.000000,2021-02-24 15:52:03.000000,186,186.0,210.0,686,,Scalable Machine Learning with Dask.,62.0,24,True,2021-01-30 16:49:37.000000,1.8.0,27.0,dask-ml,conda-forge/dask-ml,,,,389.0,347.0,https://pypi.org/project/dask-ml,2021-01-30 16:49:37.000000,42.0,17087.0,21877.0,https://anaconda.org/conda-forge/dask-ml,2021-01-30 20:07:36.819000,196425.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n387,pyjanitor,ericmjl/pyjanitor,,others,https://github.com/ericmjl/pyjanitor,https://github.com/ericmjl/pyjanitor,MIT,2018-03-04 22:43:33.000000,2021-03-04 01:10:16.000000,2021-03-03 00:53:18.000000,119,90.0,282.0,640,1162.0,Clean APIs for data cleaning. Python implementation of R package Janitor.,88.0,24,True,2021-02-25 14:08:33.000000,0.20.12,48.0,pyjanitor,conda-forge/pyjanitor,,,,89.0,85.0,https://pypi.org/project/pyjanitor,2021-02-25 14:08:33.000000,4.0,1699.0,3930.0,https://anaconda.org/conda-forge/pyjanitor,2021-02-25 18:58:42.899000,80330.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n388,tensorflow-upstream,ROCmSoftwarePlatform/tensorflow-upstream,,ml-frameworks,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,Apache-2.0,2018-04-09 21:24:50.000000,2021-03-03 23:27:09.000000,2021-03-03 17:37:30.000000,65,55.0,237.0,545,79524.0,TensorFlow ROCm port.,3563.0,24,True,2020-12-22 02:51:55.000000,2.4.0,58.0,tensorflow-rocm,,,,['tensorflow'],,,https://pypi.org/project/tensorflow-rocm,2020-12-22 02:51:55.000000,,791.0,791.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,,,,\n389,SALib,SALib/SALib,,probabilistics,https://github.com/SALib/SALib,https://github.com/SALib/SALib,MIT,2013-05-30 13:38:10.000000,2021-02-21 13:06:27.000000,2021-01-20 02:04:21.000000,142,41.0,187.0,435,909.0,\"Sensitivity Analysis Library in Python (Numpy). Contains Sobol, Morris, Fractional Factorial and FAST methods.\",24.0,24,True,2020-11-12 17:13:12.000000,1.3.12,29.0,salib,conda-forge/salib,,,,44.0,,https://pypi.org/project/salib,2020-11-19 15:36:26.000000,44.0,10728.0,11860.0,https://anaconda.org/conda-forge/salib,2020-10-24 17:04:41.614000,58875.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n390,findspark,minrk/findspark,,others,https://github.com/minrk/findspark,https://github.com/minrk/findspark,BSD-3-Clause,2015-06-12 21:34:06.000000,2020-06-08 09:32:35.000000,2020-06-08 09:31:58.000000,66,11.0,8.0,389,67.0,Find pyspark to make it importable.,14.0,24,True,2020-06-08 09:32:23.000000,1.4.2,12.0,findspark,conda-forge/findspark,,,['spark'],1748.0,1546.0,https://pypi.org/project/findspark,2020-06-08 09:32:23.000000,202.0,453050.0,461858.0,https://anaconda.org/conda-forge/findspark,2018-07-06 12:57:33.438000,502074.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n391,ml-metadata,google/ml-metadata,,ml-experiments,https://github.com/google/ml-metadata,https://github.com/google/ml-metadata,Apache-2.0,2019-01-15 21:02:09.000000,2021-03-04 02:03:22.000000,2021-03-04 02:03:18.000000,62,16.0,42.0,289,474.0,For recording and retrieving metadata associated with ML developer and data scientist workflows.,12.0,24,True,2021-02-23 22:04:56.000000,0.28.0,24.0,ml-metadata,,,,,82.0,82.0,https://pypi.org/project/ml-metadata,2021-02-23 22:04:56.000000,0.0,134840.0,134891.0,,,,,,,,2.0,1241.0,,,,,,,,,,,,,,,,,,,,,\n392,datalad,datalad/datalad,,others,https://github.com/datalad/datalad,https://github.com/datalad/datalad,MIT,2013-11-01 19:40:08.000000,2021-03-04 11:52:51.000000,2021-03-04 07:40:15.000000,69,711.0,2250.0,231,13447.0,\"Keep code, data, containers under control with git and git-annex.\",41.0,24,True,2021-02-02 17:40:16.000000,0.14.0,64.0,datalad,conda-forge/datalad,,,,26.0,,https://pypi.org/project/datalad,2021-02-02 17:35:56.000000,26.0,3066.0,5645.0,https://anaconda.org/conda-forge/datalad,2021-02-03 22:25:50.068000,92869.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n393,PaddleOCR,PaddlePaddle/PaddleOCR,,ocr,https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000000,2021-03-04 13:03:56.000000,2021-03-04 06:26:48.000000,2171,505.0,952.0,11124,,\"Awesome multilingual OCR toolkits based on PaddlePaddle practical ultra lightweight OCR system, provide data..\",41.0,23,True,2021-02-08 15:36:59.000000,2.0.0,10.0,paddleocr,,,,['paddle'],41.0,41.0,https://pypi.org/project/paddleocr,2020-12-18 04:01:23.000000,0.0,916.0,916.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n394,pysc2,deepmind/pysc2,,others,https://github.com/deepmind/pysc2,https://github.com/deepmind/pysc2,Apache-2.0,2017-07-25 18:16:57.000000,2020-07-29 16:22:31.000000,2019-09-27 15:23:22.000000,1095,57.0,203.0,7197,513.0,StarCraft II Learning Environment.,34.0,23,False,2019-09-27 15:48:01.000000,3.0.0,7.0,pysc2,,,,,268.0,228.0,https://pypi.org/project/pysc2,2019-09-27 15:48:01.000000,40.0,465.0,1068.0,,,,,,,,3.0,25947.0,,,,,,,,,,,,,,,,,,,,,\n395,Ciphey,Ciphey/Ciphey,,nlp,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39.000000,2021-03-03 01:42:07.000000,2021-03-03 01:42:06.000000,363,47.0,178.0,6411,1739.0,\"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.\",40.0,23,True,2021-02-28 10:55:16.000000,5.11.1,44.0,ciphey,,remnux/ciphey,,,,,https://pypi.org/project/ciphey,2021-02-28 10:54:10.000000,,2453.0,2866.0,,,,https://hub.docker.com/r/remnux/ciphey,2021-02-28 19:47:10.077074,2.0,8278.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n396,NuPIC,numenta/nupic,,ml-frameworks,https://github.com/numenta/nupic,https://github.com/numenta/nupic,AGPL-3.0,2013-04-05 23:14:27.000000,2020-12-11 19:56:36.000000,2019-10-23 20:45:07.000000,1585,456.0,1337.0,6201,6625.0,\"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..\",121.0,23,False,2018-06-01 15:37:54.000000,1.0.5,53.0,nupic,,,,,133.0,95.0,https://pypi.org/project/nupic,2018-06-01 15:37:54.000000,38.0,977.0,977.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n397,Vaex,vaexio/vaex,,data-containers,https://github.com/vaexio/vaex,https://github.com/vaexio/vaex,MIT,2014-09-27 09:44:42.000000,2021-03-04 10:16:33.000000,2021-03-03 15:51:43.000000,448,307.0,399.0,5865,2965.0,\"Out-of-Core DataFrames for Python, ML, visualize and explore big tabular data at a billion rows per second.\",38.0,23,True,2020-05-25 21:35:34.000000,3.0.0,48.0,vaex,conda-forge/vaex,,,,4.0,,https://pypi.org/project/vaex,2021-01-27 18:51:38.000000,4.0,3272.0,5110.0,https://anaconda.org/conda-forge/vaex,2020-06-01 18:35:17.510000,97331.0,,,,,3.0,199.0,,,,,,,,,,,,,,,,,,,,,\n398,snownlp,isnowfy/snownlp,,chinese-nlp,https://github.com/isnowfy/snownlp,https://github.com/isnowfy/snownlp,MIT,2013-11-26 11:46:56.000000,2020-01-19 02:39:05.000000,2020-01-19 02:39:03.000000,1240,33.0,65.0,5318,57.0,Python library for processing Chinese text.,8.0,23,False,2015-09-27 16:35:23.000000,0.12.3,17.0,snownlp,,,,,572.0,534.0,https://pypi.org/project/snownlp,2015-09-27 16:35:23.000000,38.0,1307.0,1307.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n399,mmdnn,Microsoft/MMdnn,,model-serialisation,https://github.com/microsoft/MMdnn,https://github.com/microsoft/MMdnn,MIT,2017-08-16 08:03:52.000000,2021-03-01 14:17:24.000000,2020-08-14 02:32:30.000000,935,307.0,287.0,5243,1083.0,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,85.0,23,True,2020-07-24 06:34:39.000000,0.3.1,12.0,mmdnn,,,,,53.0,50.0,https://pypi.org/project/mmdnn,2020-07-24 06:34:39.000000,3.0,383.0,465.0,,,,,,,,2.0,3308.0,,,,,,,,,,,,,,,,,,,,,\n400,Apex,NVIDIA/apex,,gpu-utilities,https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000000,2021-02-26 22:01:01.000000,2021-02-23 06:33:51.000000,701,455.0,365.0,5086,831.0,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,79.0,23,True,,,1.0,,conda-forge/nvidia-apex,,,['pytorch'],471.0,471.0,,,,,1995.0,https://anaconda.org/conda-forge/nvidia-apex,2020-11-23 18:41:00.769000,33929.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n401,Face Alignment,1adrianb/face-alignment,,image,https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44.000000,2021-03-03 00:56:24.000000,2021-03-03 00:56:24.000000,1012,31.0,191.0,4728,198.0,2D and 3D Face alignment library build using pytorch.,22.0,23,True,2020-12-22 21:34:55.000000,1.3.3,9.0,face-alignment,,,,['pytorch'],6.0,,https://pypi.org/project/face-alignment,2020-12-22 21:34:55.000000,6.0,4031.0,4031.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n402,flashtext,vi3k6i5/flashtext,,nlp,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01.000000,2020-06-05 00:37:46.000000,2020-05-03 07:13:22.000000,521,48.0,49.0,4669,108.0,Extract Keywords from sentence or Replace keywords in sentences.,8.0,23,True,,,18.0,flashtext,,,,,405.0,373.0,https://pypi.org/project/flashtext,2018-02-16 05:24:17.000000,32.0,163743.0,163743.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n403,espnet,espnet/espnet,,audio,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000000,2021-03-04 14:05:11.000000,2021-03-04 13:51:54.000000,1088,130.0,1089.0,3500,10936.0,End-to-End Speech Processing Toolkit.,142.0,23,True,2021-03-01 10:13:23.000000,.0.9.8,33.0,espnet,,,,,6.0,6.0,https://pypi.org/project/espnet,2021-01-15 08:52:23.000000,0.0,677.0,678.0,,,,,,,,3.0,60.0,,,,,,,,,,,,,,,,,,,,,\n404,Snips NLU,snipsco/snips-nlu,,nlp,https://github.com/snipsco/snips-nlu,https://github.com/snipsco/snips-nlu,Apache-2.0,2017-02-08 16:16:36.000000,2020-12-24 12:59:47.000000,2020-02-08 21:49:32.000000,463,51.0,196.0,3455,2153.0,Snips Python library to extract meaning from text.,21.0,23,False,2020-01-15 10:13:17.000000,0.20.2,58.0,snips-nlu,,,,,16.0,,https://pypi.org/project/snips-nlu,2020-01-15 10:13:17.000000,16.0,3124.0,3124.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n405,ArrayFire,arrayfire/arrayfire,,gpu-utilities,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000000,2021-02-26 11:37:42.000000,2021-02-24 05:19:41.000000,457,254.0,1210.0,3323,5701.0,ArrayFire: a general purpose GPU library.,80.0,23,True,2021-01-08 21:41:09.000000,3.8.0,30.0,arrayfire,,,,,8.0,,https://pypi.org/project/arrayfire,2018-10-18 14:13:29.000000,8.0,557.0,568.0,,,,,,,,2.0,766.0,,,,,,,,,,,,,,,,,,,,,\n406,Camelot,atlanhq/camelot,,data-loading,https://github.com/atlanhq/camelot,https://github.com/atlanhq/camelot,MIT,2016-06-18 11:48:49.000000,2020-07-27 12:28:15.000000,2019-10-15 05:25:40.000000,307,68.0,275.0,2999,446.0,Camelot: PDF Table Extraction for Humans.,23.0,23,False,2020-07-27 12:28:15.000000,0.8.2,21.0,camelot-py,,,,,20.0,,https://pypi.org/project/camelot-py,2020-07-27 12:28:15.000000,20.0,16635.0,16635.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n407,SHOGUN,shogun-toolbox/shogun,,ml-frameworks,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32.000000,2021-01-27 17:11:33.000000,2020-12-08 16:56:38.000000,1017,544.0,1070.0,2801,16205.0,Unified and efficient Machine Learning.,248.0,23,True,2019-07-05 10:23:31.000000,shogun_6.1.4,10.0,,conda-forge/shogun,shogun/shogun,,,,,,,,,2123.0,https://anaconda.org/conda-forge/shogun,2018-06-25 20:49:17.070000,92925.0,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1444.0,3.0,,,,,,,,,,shogun,,,,,,,,,,,,\n408,keras-vis,raghakot/keras-vis,,interpretability,https://github.com/raghakot/keras-vis,https://github.com/raghakot/keras-vis,MIT,2016-11-11 23:27:34.000000,2020-04-20 01:03:13.000000,2020-04-20 01:03:12.000000,595,114.0,99.0,2795,195.0,Neural network visualization toolkit for keras.,10.0,23,True,2017-07-06 04:55:04.000000,0.4.1,11.0,keras-vis,,,,['tensorflow'],810.0,754.0,https://pypi.org/project/keras-vis,2017-07-06 04:55:04.000000,56.0,1345.0,1345.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n409,DoWhy,Microsoft/dowhy,,interpretability,https://github.com/microsoft/dowhy,https://github.com/microsoft/dowhy,MIT,2018-05-31 13:07:04.000000,2021-03-03 04:28:36.000000,2021-03-03 03:37:39.000000,389,15.0,88.0,2713,435.0,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,39.0,23,True,2021-03-03 03:44:46.000000,0.6,6.0,dowhy,conda-forge/dowhy,,,,28.0,28.0,https://pypi.org/project/dowhy,2021-03-03 03:45:16.000000,0.0,7468.0,7583.0,https://anaconda.org/conda-forge/dowhy,2020-12-13 07:46:12.761000,1140.0,,,,,2.0,23.0,,,,,,,,,,,,,,,,,,,,,\n410,einops,arogozhnikov/einops,,ml-frameworks,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08.000000,2021-01-09 20:03:22.000000,2021-01-09 20:03:21.000000,83,21.0,44.0,2503,293.0,\"Deep learning operations reinvented (for pytorch, tensorflow, jax and others).\",10.0,23,True,2020-09-08 08:33:29.000000,0.3,3.0,einops,conda-forge/einops,,,,293.0,283.0,https://pypi.org/project/einops,2020-09-08 08:21:26.000000,10.0,16511.0,16728.0,https://anaconda.org/conda-forge/einops,2020-10-15 20:10:19.681000,3920.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n411,MMLSpark,Azure/mmlspark,,distributed-ml,https://github.com/Azure/mmlspark,https://github.com/Azure/mmlspark,MIT,2017-06-05 08:23:44.000000,2021-03-04 00:04:09.000000,2021-03-01 17:20:07.000000,503,202.0,213.0,2262,787.0,Microsoft Machine Learning for Apache Spark.,63.0,23,True,2020-10-02 19:36:01.000000,1.0.0-rc3,17.0,mmlspark,,,,['spark'],,,https://pypi.org/project/mmlspark,2020-03-18 01:27:31.000000,,32490.0,32490.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n412,neuralcoref,huggingface/neuralcoref,,nlp,https://github.com/huggingface/neuralcoref,https://github.com/huggingface/neuralcoref,MIT,2017-07-03 13:04:16.000000,2021-02-24 08:54:06.000000,2021-02-24 08:54:03.000000,385,45.0,218.0,2211,115.0,Fast Coreference Resolution in spaCy with Neural Networks.,20.0,23,True,2019-04-08 11:28:27.000000,4.0.0,5.0,neuralcoref,conda-forge/neuralcoref,,,,315.0,297.0,https://pypi.org/project/neuralcoref,2019-04-08 09:56:00.000000,18.0,2696.0,3194.0,https://anaconda.org/conda-forge/neuralcoref,2020-02-21 22:10:40.453000,6446.0,,,,,3.0,175.0,,,,,,,,,,,,,,,,,,,,,\n413,Gradio,gradio-app/gradio,,others,https://github.com/gradio-app/gradio,https://github.com/gradio-app/gradio,Apache-2.0,2018-12-19 08:24:04.000000,2021-03-04 04:11:49.000000,2021-03-03 01:17:32.000000,135,7.0,73.0,2132,961.0,\"Wrap UIs around any model, share with anyone.\",16.0,23,True,2021-03-02 18:38:36.000000,1.6.2,87.0,gradio,,,,,82.0,80.0,https://pypi.org/project/gradio,2021-03-02 18:38:36.000000,2.0,1263.0,1263.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n414,Hyperas,maxpumperla/hyperas,,hyperopt,https://github.com/maxpumperla/hyperas,https://github.com/maxpumperla/hyperas,MIT,2016-02-19 14:45:10.000000,2020-12-22 08:31:48.000000,2020-12-22 08:31:47.000000,297,88.0,158.0,2080,209.0,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,21.0,23,True,2019-02-28 09:16:54.000000,0.4.1,9.0,hyperas,,,,['tensorflow'],42.0,,https://pypi.org/project/hyperas,2019-02-28 09:16:54.000000,42.0,16432.0,16432.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n415,PandasGUI,adamerose/pandasgui,,data-viz,https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT,2019-06-12 02:19:42.000000,2021-03-03 19:13:51.000000,2021-03-03 19:13:51.000000,119,17.0,70.0,2051,403.0,A GUI for Pandas DataFrames.,8.0,23,True,2021-02-12 17:30:50.000000,0.2.9,39.0,pandasgui,,,,['pandas'],50.0,48.0,https://pypi.org/project/pandasgui,2021-02-12 17:30:50.000000,2.0,1188.0,1188.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n416,ART,Trusted-AI/adversarial-robustness-toolbox,,adversarial,https://github.com/Trusted-AI/adversarial-robustness-toolbox,https://github.com/Trusted-AI/adversarial-robustness-toolbox,MIT,2018-03-15 14:40:43.000000,2021-03-04 14:11:25.000000,2021-02-19 23:53:35.000000,575,88.0,351.0,2041,,\"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..\",62.0,23,True,2021-02-20 01:11:16.000000,1.5.2,28.0,adversarial-robustness-toolbox,,,,,108.0,108.0,https://pypi.org/project/adversarial-robustness-toolbox,2021-02-20 00:34:52.000000,0.0,1394.0,1394.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n417,Enigma Catalyst,enigmampc/catalyst,,financial-data,https://github.com/enigmampc/catalyst,https://github.com/enigmampc/catalyst,Apache-2.0,2017-06-13 22:31:34.000000,2021-01-05 19:10:30.000000,2020-12-28 10:58:58.000000,600,135.0,363.0,2033,6362.0,An Algorithmic Trading Library for Crypto-Assets in Python.,144.0,23,True,2018-11-11 16:46:28.000000,0.5.21,52.0,enigma-catalyst,,,,,24.0,22.0,https://pypi.org/project/enigma-catalyst,2018-11-11 16:46:28.000000,2.0,1080.0,1080.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n418,Acme,deepmind/acme,,reinforcement-learning,https://github.com/deepmind/acme,https://github.com/deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000000,2021-03-03 12:41:56.000000,2021-03-03 12:41:22.000000,194,41.0,48.0,1958,370.0,A library of reinforcement learning components and agents.,34.0,23,True,2020-10-23 16:00:01.000000,0.2.0,9.0,dm-acme,,,,['tensorflow'],20.0,20.0,https://pypi.org/project/dm-acme,2020-10-23 16:00:01.000000,,556.0,556.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n419,SRU,asappresearch/sru,,pytorch-utils,https://github.com/asappresearch/sru,https://github.com/asappresearch/sru,MIT,2017-08-28 20:37:41.000000,2021-03-04 14:50:34.000000,2021-02-25 16:52:40.000000,280,50.0,55.0,1901,382.0,Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755).,21.0,23,True,2020-12-17 19:40:55.000000,2.6.0-rc1,22.0,sru,,,,['pytorch'],17.0,15.0,https://pypi.org/project/sru,2021-01-22 20:02:59.000000,2.0,984.0,984.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n420,PyFlux,RJT1990/pyflux,,time-series-data,https://github.com/RJT1990/pyflux,https://github.com/RJT1990/pyflux,BSD-3-Clause,2016-02-16 20:12:02.000000,2019-03-19 10:45:02.000000,2018-12-16 15:30:13.000000,210,79.0,65.0,1852,118.0,Open source time series library for Python.,6.0,23,False,2017-11-21 16:27:06.000000,0.4.16,35.0,pyflux,,,,,205.0,175.0,https://pypi.org/project/pyflux,2017-11-21 16:27:06.000000,30.0,8310.0,8310.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n421,python_speech_features,jameslyons/python_speech_features,,audio,https://github.com/jameslyons/python_speech_features,https://github.com/jameslyons/python_speech_features,MIT,2013-10-31 02:42:08.000000,2020-12-31 13:27:02.000000,2020-12-31 13:27:01.000000,542,23.0,49.0,1851,120.0,This library provides common speech features for ASR including MFCCs and filterbank energies.,18.0,23,True,2020-01-14 14:12:10.000000,0.6.1,6.0,python_speech_features,,,,,300.0,,https://pypi.org/project/python_speech_features,2017-08-16 01:46:13.000000,300.0,34156.0,34156.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n422,GluonTS,awslabs/gluon-ts,,time-series-data,https://github.com/awslabs/gluon-ts,https://github.com/awslabs/gluon-ts,Apache-2.0,2019-05-15 17:17:29.000000,2021-03-03 15:21:09.000000,2021-02-28 12:29:55.000000,382,207.0,364.0,1771,675.0,Probabilistic time series modeling in Python.,69.0,23,True,2021-02-18 17:21:15.000000,0.6.7,30.0,gluonts,,,,['mxnet'],0.0,,https://pypi.org/project/gluonts,2021-02-18 17:21:15.000000,0.0,13562.0,13562.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n423,efficientnet,qubvel/efficientnet,,tensorflow-utils,https://github.com/qubvel/efficientnet,https://github.com/qubvel/efficientnet,Apache-2.0,2019-05-30 20:21:09.000000,2020-12-10 07:02:58.000000,2020-09-15 16:19:36.000000,386,56.0,55.0,1727,64.0,Implementation of EfficientNet model. Keras and TensorFlow Keras.,8.0,23,True,2020-09-15 16:26:00.000000,1.1.1,9.0,efficientnet,,,,['tensorflow'],533.0,529.0,https://pypi.org/project/efficientnet,2020-09-15 16:26:00.000000,4.0,48690.0,55842.0,,,,,,,,3.0,157344.0,,-2.0,,,,,,,,,,,,,,,,,,,\n424,Spektral,danielegrattarola/spektral,,graph,https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10.000000,2021-03-03 11:21:59.000000,2021-03-03 11:21:16.000000,200,19.0,110.0,1646,933.0,Graph Neural Networks with Keras and Tensorflow 2.,16.0,23,True,2021-03-03 09:07:22.000000,1.0.5,28.0,spektral,,,,\"['tensorflow\"\"']\",34.0,34.0,https://pypi.org/project/spektral,2021-03-03 09:07:22.000000,0.0,1954.0,1954.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n425,Pillow-SIMD,uploadcare/pillow-simd,,image,https://github.com/uploadcare/pillow-simd,https://github.com/uploadcare/pillow-simd,PIL,2014-11-12 15:33:02.000000,2021-02-11 10:12:55.000000,2020-06-02 14:50:14.000000,65,11.0,53.0,1552,,The friendly PIL fork.,310.0,23,False,2020-01-02 05:19:26.000000,7.0.0,35.0,pillow-simd,,,,,419.0,369.0,https://pypi.org/project/pillow-simd,2020-01-26 14:30:27.000000,50.0,12247.0,12247.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n426,bonobo,python-bonobo/bonobo,,data-pipelines,https://github.com/python-bonobo/bonobo,https://github.com/python-bonobo/bonobo,Apache-2.0,2016-12-09 04:03:23.000000,2021-02-02 21:44:59.000000,2021-01-01 05:32:01.000000,110,63.0,108.0,1398,978.0,Extract Transform Load for Python 3.5+.,36.0,23,True,2019-05-16 13:19:48.000000,0.6.4,38.0,bonobo,,,http://docs.bonobo-project.org/en/master/,,164.0,112.0,https://pypi.org/project/bonobo,2019-07-20 13:33:19.000000,52.0,3691.0,3691.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n427,Magnitude,plasticityai/magnitude,,nn-search,https://github.com/plasticityai/magnitude,https://github.com/plasticityai/magnitude,MIT,2018-02-24 07:28:16.000000,2021-02-23 18:10:43.000000,2020-07-17 20:19:46.000000,99,26.0,50.0,1391,350.0,\"A fast, efficient universal vector embedding utility package.\",4.0,23,True,2020-05-25 11:26:36.000000,0.1.143,128.0,pymagnitude,,,,,192.0,178.0,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36.000000,14.0,1982.0,1982.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n428,fklearn,nubank/fklearn,,ml-frameworks,https://github.com/nubank/fklearn,https://github.com/nubank/fklearn,Apache-2.0,2019-02-27 14:32:57.000000,2021-02-09 20:46:53.000000,2021-02-09 20:46:53.000000,149,19.0,20.0,1303,117.0,fklearn: Functional Machine Learning.,37.0,23,True,2021-02-09 17:12:04.000000,1.22.0,20.0,fklearn,,,,,10.0,10.0,https://pypi.org/project/fklearn,2021-02-09 17:12:04.000000,,2390.0,2390.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n429,TextAttack,QData/TextAttack,,adversarial,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000000,2021-02-24 17:05:16.000000,2021-02-24 17:05:16.000000,137,27.0,82.0,1273,1935.0,\"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP.\",31.0,23,True,2020-12-27 05:23:02.000000,0.2.15,35.0,textattack,,,,,17.0,17.0,https://pypi.org/project/textattack,2020-12-27 05:23:02.000000,0.0,853.0,853.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n430,modAL,modAL-python/modAL,,others,https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000000,2021-02-28 10:11:11.000000,2021-01-07 09:40:40.000000,182,46.0,50.0,1118,648.0,A modular active learning framework for Python.,14.0,23,True,2021-01-07 09:47:49.000000,0.4.1,12.0,modAL,,,,['sklearn'],60.0,52.0,https://pypi.org/project/modAL,2021-01-07 09:47:49.000000,8.0,961.0,961.0,,,,,,,,3.0,9.0,,,,,,,,,,,,,,,,,,,,,\n431,Optimus,ironmussa/Optimus,,data-pipelines,https://github.com/ironmussa/Optimus,https://github.com/ironmussa/Optimus,Apache-2.0,2017-07-13 02:31:18.000000,2021-03-04 00:46:05.000000,2021-03-03 16:10:54.000000,190,139.0,166.0,983,3530.0,\"Agile Data Preparation Workflows madeeasy with dask, cudf, dask_cudf and pyspark.\",21.0,23,True,2020-07-19 03:05:40.000000,2.2.32,85.0,optimuspyspark,,,,['spark'],13.0,13.0,https://pypi.org/project/optimuspyspark,2019-05-30 02:22:54.000000,,3721.0,3721.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n432,openTSNE,pavlin-policar/openTSNE,,data-viz,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000000,2021-03-01 10:45:06.000000,2021-01-08 11:25:11.000000,82,5.0,68.0,753,509.0,\"Extensible, parallel implementations of t-SNE.\",10.0,23,True,2021-01-08 12:20:43.000000,0.5.1,19.0,opentsne,conda-forge/opentsne,,,,188.0,184.0,https://pypi.org/project/opentsne,2021-01-08 12:20:43.000000,4.0,9398.0,12373.0,https://anaconda.org/conda-forge/opentsne,2021-01-08 15:19:01.004000,80343.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n433,stockstats,jealous/stockstats,,financial-data,https://github.com/jealous/stockstats,https://github.com/jealous/stockstats,BSD-3-Clause,2016-06-05 15:21:22.000000,2020-12-10 07:08:11.000000,2020-10-17 10:59:35.000000,199,29.0,31.0,729,23.0,Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.,7.0,23,True,2020-10-17 11:10:43.000000,0.3.2,14.0,stockstats,,,,,231.0,183.0,https://pypi.org/project/stockstats,2020-10-17 11:10:43.000000,48.0,19447.0,19447.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n434,GPyOpt,SheffieldML/GPyOpt,,hyperopt,https://github.com/SheffieldML/GPyOpt,https://github.com/SheffieldML/GPyOpt,BSD-3-Clause,2014-08-13 09:58:25.000000,2020-11-17 10:32:02.000000,2020-11-05 15:16:04.000000,218,100.0,186.0,713,514.0,Gaussian Process Optimization using GPy.,49.0,23,True,2020-03-19 21:21:18.000000,1.2.6,11.0,gpyopt,,,,,214.0,178.0,https://pypi.org/project/gpyopt,2020-03-19 11:37:45.000000,36.0,3616.0,3616.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n435,TreeInterpreter,andosa/treeinterpreter,,interpretability,https://github.com/andosa/treeinterpreter,https://github.com/andosa/treeinterpreter,BSD-3-Clause,2015-08-02 20:26:21.000000,2021-02-28 18:33:06.000000,2021-02-28 18:33:06.000000,133,25.0,4.0,645,37.0,Package for interpreting scikit-learn's decision tree and random forest predictions.,11.0,23,True,2021-01-10 20:12:39.000000,0.2.3,5.0,treeinterpreter,,,,['sklearn'],138.0,120.0,https://pypi.org/project/treeinterpreter,2021-01-10 20:12:39.000000,18.0,64001.0,64001.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n436,CellProfiler,CellProfiler/CellProfiler,,image,https://github.com/CellProfiler/CellProfiler,https://github.com/CellProfiler/CellProfiler,BSD-3-Clause,2011-04-05 12:10:12.000000,2021-03-02 23:38:29.000000,2021-02-19 16:37:05.000000,271,159.0,2782.0,546,15307.0,An open-source application for biological image analysis.,119.0,23,True,2021-02-16 21:59:54.000000,4.1.3,41.0,cellprofiler,,,,,3.0,3.0,https://pypi.org/project/cellprofiler,2017-09-04 18:03:36.000000,,191.0,199.0,,,,,,,,3.0,730.0,,,,,,,,,,,,,,,,,,,,,\n437,PDPbox,SauceCat/PDPbox,,data-viz,https://github.com/SauceCat/PDPbox,https://github.com/SauceCat/PDPbox,MIT,2017-06-26 08:01:54.000000,2021-01-13 08:25:09.000000,2018-12-08 10:06:13.000000,84,37.0,17.0,539,223.0,python partial dependence plot toolbox.,7.0,23,False,2018-07-23 13:33:35.000000,0.2.0,2.0,pdpbox,conda-forge/pdpbox,,,,366.0,332.0,https://pypi.org/project/pdpbox,2018-07-23 13:33:35.000000,34.0,28824.0,29127.0,https://anaconda.org/conda-forge/pdpbox,2019-07-17 16:58:38.379000,6065.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n438,tinytag,devsnd/tinytag,,audio,https://github.com/devsnd/tinytag,https://github.com/devsnd/tinytag,MIT,2014-01-27 15:27:01.000000,2021-02-28 13:52:23.000000,2020-11-11 16:13:44.000000,78,14.0,60.0,437,308.0,\"Read music meta data and length of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA and Wave files with python 2 or 3.\",18.0,23,True,2020-11-05 12:44:52.000000,1.5.0,33.0,tinytag,,,,,408.0,312.0,https://pypi.org/project/tinytag,2020-11-05 12:44:52.000000,96.0,2109.0,2109.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n439,python-ternary,marcharper/python-ternary,,data-viz,https://github.com/marcharper/python-ternary,https://github.com/marcharper/python-ternary,MIT,2012-08-07 23:48:55.000000,2021-02-17 22:38:55.625000,2021-02-17 18:21:08.000000,111,25.0,79.0,404,384.0,Ternary plotting library for python with matplotlib.,25.0,23,True,2021-02-17 18:38:15.000000,1.0.8,11.0,python-ternary,conda-forge/python-ternary,,,,79.0,59.0,https://pypi.org/project/python-ternary,2021-02-17 18:38:15.000000,20.0,763.0,1601.0,https://anaconda.org/conda-forge/python-ternary,2021-02-17 22:38:55.625000,49460.0,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,,,,\n440,sklearn-crfsuite,TeamHG-Memex/sklearn-crfsuite,,sklearn-utils,https://github.com/TeamHG-Memex/sklearn-crfsuite,https://github.com/TeamHG-Memex/sklearn-crfsuite,MIT,2015-11-26 21:15:41.000000,2020-12-30 08:00:27.000000,2019-12-05 08:17:22.000000,153,34.0,22.0,362,46.0,scikit-learn inspired API for CRFsuite.,6.0,23,False,2017-06-22 18:49:27.000000,0.3.6,9.0,sklearn-crfsuite,,,,['sklearn'],2902.0,2506.0,https://pypi.org/project/sklearn-crfsuite,2017-06-22 18:49:27.000000,396.0,31289.0,31289.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n441,messytables,okfn/messytables,,data-loading,https://github.com/okfn/messytables,https://github.com/okfn/messytables,MIT,2011-07-27 18:08:21.000000,2021-01-07 22:24:38.000000,2019-11-13 07:35:33.000000,97,30.0,55.0,361,601.0,Tools for parsing messy tabular data. This is now superseded by https://github.com/frictionlessdata/tabulator-py.,44.0,23,False,2017-02-09 12:37:47.000000,0.15.2,26.0,messytables,,,,,406.0,174.0,https://pypi.org/project/messytables,2017-02-09 12:37:47.000000,232.0,4730.0,4730.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n442,pySBD,nipunsadvilkar/pySBD,,nlp,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20.000000,2021-02-11 16:42:37.000000,2021-02-11 16:40:18.000000,26,4.0,47.0,292,279.0,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,6.0,23,True,2021-02-11 16:42:37.000000,0.3.4,15.0,pysbd,,,,,111.0,107.0,https://pypi.org/project/pysbd,2021-02-11 16:36:33.000000,4.0,10989.0,10989.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n443,NIPY,nipy/nipy,,medical-data,https://github.com/nipy/nipy,https://github.com/nipy/nipy,BSD-3-Clause,2010-05-02 10:00:33.000000,2021-03-03 11:18:24.000000,2021-02-25 23:52:52.000000,123,43.0,107.0,292,6401.0,Neuroimaging in Python FMRI analysis package.,63.0,23,True,2018-02-19 14:14:08.000000,0.4.2,6.0,nipy,conda-forge/nipy,,,,82.0,,https://pypi.org/project/nipy,2018-02-19 14:14:08.000000,82.0,476.0,2144.0,https://anaconda.org/conda-forge/nipy,2020-05-04 19:38:04.112000,73415.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n444,pysparkling,svenkreiss/pysparkling,,data-pipelines,https://github.com/svenkreiss/pysparkling,https://github.com/svenkreiss/pysparkling,MIT,2015-05-09 19:23:20.000000,2021-03-03 14:48:46.000000,2021-02-22 17:29:11.000000,43,6.0,21.0,232,1527.0,A pure Python implementation of Apache Spark's RDD and DStream interfaces.,10.0,23,True,2021-01-10 21:15:26.000000,0.6.1,68.0,pysparkling,,,,,72.0,58.0,https://pypi.org/project/pysparkling,2021-01-10 21:15:26.000000,14.0,5237.0,5237.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n445,PaddleHub,PaddlePaddle/PaddleHub,,others,https://github.com/PaddlePaddle/PaddleHub,https://github.com/PaddlePaddle/PaddleHub,Apache-2.0,2018-12-21 06:00:48.000000,2021-03-04 13:30:56.000000,2021-03-03 11:21:01.000000,1038,309.0,395.0,4633,,\"Awesome pre-trained models toolkit based on PaddlePaddle.200+ models including Image, Text, Audio and Video with Easy..\",34.0,22,True,2021-03-02 06:45:07.000000,2.0.3,43.0,paddlehub,,,,['paddle'],110.0,110.0,https://pypi.org/project/paddlehub,2021-03-02 06:45:07.000000,0.0,910.0,928.0,,,,,,,,3.0,440.0,,,,,,,,,,,,,,,,,,,,,\n446,textgenrnn,minimaxir/textgenrnn,,nlp,https://github.com/minimaxir/textgenrnn,https://github.com/minimaxir/textgenrnn,MIT,2017-08-07 02:13:37.000000,2020-12-25 03:33:19.000000,2020-07-14 02:41:10.000000,681,117.0,80.0,4291,174.0,Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines..,19.0,22,True,2020-02-03 01:07:00.000000,2.0.0,14.0,textgenrnn,,,,['tensorflow'],704.0,676.0,https://pypi.org/project/textgenrnn,2020-02-02 21:16:15.000000,28.0,564.0,575.0,,,,,,,,3.0,415.0,,,,,,,,,,,,,,,,,,,,,\n447,neon,NervanaSystems/neon,,ml-frameworks,https://github.com/NervanaSystems/neon,https://github.com/NervanaSystems/neon,Apache-2.0,2014-10-16 01:00:17.000000,2020-12-23 01:21:42.000000,2019-05-22 18:27:54.000000,848,87.0,305.0,3852,1118.0,Intel Nervana reference deep learning framework committed to best performance on all hardware.,109.0,22,False,2018-01-05 23:25:04.000000,2.6.0,32.0,nervananeon,,,,,43.0,42.0,https://pypi.org/project/nervananeon,2018-01-05 23:25:04.000000,1.0,76.0,79.0,,,,,,,,3.0,255.0,,,,,,,,,,,,,,,,,,,,,\n448,PyAlgoTrade,gbeced/pyalgotrade,,financial-data,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54.000000,2020-12-24 18:41:56.000000,2018-08-21 02:42:52.000000,1187,45.0,81.0,3198,1156.0,Python Algorithmic Trading Library.,11.0,22,False,,,8.0,pyalgotrade,,,,,91.0,70.0,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25.000000,21.0,564.0,564.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n449,TensorWatch,microsoft/tensorwatch,,ml-experiments,https://github.com/microsoft/tensorwatch,https://github.com/microsoft/tensorwatch,MIT,2019-05-15 08:29:34.000000,2021-02-10 08:45:14.000000,2021-01-15 19:46:05.000000,319,49.0,15.0,3044,112.0,\"Debugging, monitoring and visualization for Python Machine Learning and Data Science.\",13.0,22,True,2020-03-04 07:26:22.000000,0.9.1,14.0,tensorwatch,,,,,51.0,45.0,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22.000000,6.0,2771.0,2771.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n450,segmentation_models,qubvel/segmentation_models,,image,https://github.com/qubvel/segmentation_models,https://github.com/qubvel/segmentation_models,MIT,2018-06-05 13:27:56.000000,2020-12-13 13:48:40.000000,2020-04-17 09:51:20.000000,689,155.0,236.0,2988,204.0,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,14.0,22,True,2020-01-10 11:36:02.000000,1.0.1,8.0,segmentation_models,,,,['tensorflow'],24.0,,https://pypi.org/project/segmentation_models,2020-01-10 11:36:02.000000,24.0,12383.0,12383.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n451,Porcupine,Picovoice/Porcupine,,audio,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000000,2021-03-04 02:35:55.000000,2021-03-02 18:26:29.000000,334,8.0,280.0,2362,390.0,On-device wake word detection powered by deep learning.,26.0,22,True,2021-02-26 17:17:18.000000,1.9.2,16.0,pvporcupine,,,,,5.0,5.0,https://pypi.org/project/pvporcupine,2021-02-26 17:17:18.000000,0.0,549.0,549.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n452,analytics-zoo,intel-analytics/analytics-zoo,,distributed-ml,https://github.com/intel-analytics/analytics-zoo,https://github.com/intel-analytics/analytics-zoo,Apache-2.0,2017-05-05 02:27:30.000000,2021-03-04 13:09:06.000000,2021-03-04 09:28:19.000000,635,456.0,543.0,2207,2608.0,\"Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray.\",83.0,22,True,2020-12-17 03:25:36.000000,0.9.0,56.0,analytics-zoo,,,,['spark'],2.0,2.0,https://pypi.org/project/analytics-zoo,2021-03-02 06:12:54.000000,,581.0,581.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n453,D-Tale,man-group/dtale,,data-viz,https://github.com/man-group/dtale,https://github.com/man-group/dtale,LGPL-2.1,2019-07-15 09:34:48.000000,2021-03-04 05:24:47.000000,2021-03-04 05:24:41.000000,145,34.0,281.0,2095,354.0,Visualizer for pandas data structures.,14.0,22,True,2021-02-19 03:10:44.000000,1.36.0,103.0,dtale,conda-forge/dtale,,,\"['pandas', 'jupyter']\",107.0,107.0,https://pypi.org/project/dtale,2021-02-19 03:09:02.000000,0.0,3239.0,6163.0,https://anaconda.org/conda-forge/dtale,2021-02-19 03:36:35.030000,38024.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n454,TF Ranking,tensorflow/ranking,,recommender-systems,https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57.000000,2021-02-04 05:28:32.000000,2021-02-04 05:28:28.000000,365,26.0,204.0,2062,325.0,Learning to Rank in TensorFlow.,20.0,22,True,2021-02-02 16:58:47.000000,0.3.3,15.0,tensorflow_ranking,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow_ranking,2021-01-30 02:05:46.000000,2.0,19722.0,19722.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n455,scikit-opt,guofei9987/scikit-opt,,sklearn-utils,https://github.com/guofei9987/scikit-opt,https://github.com/guofei9987/scikit-opt,MIT,2017-12-05 10:20:41.000000,2021-02-02 07:04:40.000000,2021-02-02 07:04:39.000000,469,24.0,62.0,2008,238.0,\"Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune..\",8.0,22,True,2020-11-20 12:55:12.000000,0.6.1,18.0,scikit-opt,,,,['sklearn'],28.0,25.0,https://pypi.org/project/scikit-opt,2020-11-20 12:52:22.000000,3.0,340.0,340.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n456,knockknock,huggingface/knockknock,,ml-experiments,https://github.com/huggingface/knockknock,https://github.com/huggingface/knockknock,MIT,2019-03-20 13:08:55.000000,2021-01-09 06:11:00.000000,2020-03-16 04:26:47.000000,160,12.0,21.0,2005,75.0,Knock Knock: Get notified when your training ends with only two additional lines of code.,18.0,22,True,2020-03-04 04:15:47.000000,0.1.8,10.0,knockknock,conda-forge/knockknock,,,,143.0,140.0,https://pypi.org/project/knockknock,2020-03-16 14:30:23.000000,3.0,1500.0,1831.0,https://anaconda.org/conda-forge/knockknock,2020-03-17 01:52:16.317000,5632.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n457,MONAI,Project-MONAI/MONAI,,medical-data,https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000000,2021-03-04 14:33:22.000000,2021-03-04 13:54:36.000000,314,78.0,645.0,1807,814.0,AI Toolkit for Healthcare Imaging.,55.0,22,True,2020-12-15 15:21:13.000000,0.4.0,15.0,monai,,,,['pytorch'],,,https://pypi.org/project/monai,2020-12-15 15:16:56.000000,,2753.0,2753.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n458,DDSP,magenta/ddsp,,audio,https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27.000000,2021-03-04 06:26:50.000000,2021-02-20 00:58:05.000000,173,14.0,91.0,1783,352.0,DDSP: Differentiable Digital Signal Processing.,24.0,22,True,2021-01-14 01:59:27.000000,1.0.1,28.0,ddsp,,,,['tensorflow'],6.0,6.0,https://pypi.org/project/ddsp,2021-01-14 01:59:27.000000,,825.0,825.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n459,Essentia,MTG/essentia,,audio,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000000,2021-03-04 12:18:39.000000,2021-03-02 11:31:06.000000,399,307.0,569.0,1740,2767.0,\"C++ library for audio and music analysis, description and synthesis, including Python bindings.\",70.0,22,False,2015-03-31 16:33:30.000000,2.0,9.0,essentia,,,,,170.0,160.0,https://pypi.org/project/essentia,2021-01-13 00:12:18.000000,10.0,1011.0,1011.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n460,vidgear,abhiTronix/vidgear,,image,https://github.com/abhiTronix/vidgear,https://github.com/abhiTronix/vidgear,Apache-2.0,2019-03-17 02:42:42.000000,2021-03-01 04:05:38.000000,2021-01-01 04:26:42.000000,115,5.0,132.0,1660,547.0,High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features.,5.0,22,True,2021-01-01 07:57:09.000000,0.2.0,12.0,vidgear,,,,,90.0,88.0,https://pypi.org/project/vidgear,2021-01-01 07:57:09.000000,2.0,752.0,765.0,,,,,,,,3.0,314.0,,,,,,,,,,,,,,,,,,,,,\n461,Multicore-TSNE,DmitryUlyanov/Multicore-TSNE,,data-viz,https://github.com/DmitryUlyanov/Multicore-TSNE,https://github.com/DmitryUlyanov/Multicore-TSNE,BSD-3-Clause,2016-10-19 05:46:52.000000,2020-12-20 08:15:51.000000,2020-08-19 14:58:00.000000,199,36.0,20.0,1542,113.0,Parallel t-SNE implementation with Python and Torch wrappers.,15.0,22,True,2017-11-08 13:32:20.000000,0.0.1,3.0,MulticoreTSNE,conda-forge/multicore-tsne,,,['pytorch'],243.0,215.0,https://pypi.org/project/MulticoreTSNE,2019-01-09 07:23:04.000000,28.0,2157.0,2377.0,https://anaconda.org/conda-forge/multicore-tsne,2018-11-12 17:08:01.525000,6186.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n462,fast-bert,kaushaltrivedi/fast-bert,,nlp,https://github.com/utterworks/fast-bert,https://github.com/utterworks/fast-bert,Apache-2.0,2019-04-18 22:01:20.000000,2021-02-05 15:35:26.000000,2021-02-05 15:35:18.000000,308,136.0,91.0,1522,263.0,Super easy library for BERT based NLP models.,34.0,22,True,2020-12-09 21:27:58.000000,1.9.5,40.0,fast-bert,,,,,2.0,,https://pypi.org/project/fast-bert,2020-12-09 21:27:58.000000,2.0,1099.0,1099.0,,,,,,,,3.0,,,,,,,,,,,,,utterworks/fast-bert,,,,,,,,,\n463,scattertext,JasonKessler/scattertext,,nlp,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12.000000,2021-02-08 22:51:45.000000,2021-02-08 22:51:45.000000,206,17.0,58.0,1520,339.0,Beautiful visualizations of how language differs among document types.,10.0,22,True,2017-03-13 05:31:21.000000,0.0.2.4.4,129.0,scattertext,conda-forge/scattertext,,,,170.0,154.0,https://pypi.org/project/scattertext,2021-01-18 09:01:42.000000,16.0,1369.0,2418.0,https://anaconda.org/conda-forge/scattertext,2021-01-18 15:00:35.497000,45123.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n464,anaGo,Hironsan/anago,,nlp,https://github.com/Hironsan/anago,https://github.com/Hironsan/anago,MIT,2017-06-26 21:28:36.000000,2021-02-02 21:42:33.000000,2019-10-23 03:19:52.000000,354,36.0,71.0,1386,296.0,\"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.\",11.0,22,False,2018-07-17 01:59:21.000000,1.0.8,14.0,anago,,,,['tensorflow'],30.0,25.0,https://pypi.org/project/anago,2018-07-17 01:59:21.000000,5.0,2155.0,2155.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n465,Pypeline,cgarciae/pypeln,,data-pipelines,https://github.com/cgarciae/pypeln,https://github.com/cgarciae/pypeln,MIT,2018-09-01 13:43:31.000000,2021-01-05 18:00:20.000000,2021-01-05 17:59:44.000000,67,12.0,35.0,1212,234.0,Concurrent data pipelines in Python .,9.0,22,True,2021-01-05 18:00:06.000000,0.4.7,34.0,pypeln,,,,,10.0,,https://pypi.org/project/pypeln,2021-01-05 18:00:06.000000,10.0,3767.0,3767.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n466,FARM,deepset-ai/FARM,,nlp,https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12.000000,2021-02-25 14:33:42.000000,2021-02-24 07:46:33.000000,161,35.0,305.0,1114,541.0,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,31.0,22,True,2021-02-22 17:44:33.000000,0.7.0,23.0,farm,,,,['pytorch'],2.0,,https://pypi.org/project/farm,2021-02-22 17:30:04.000000,2.0,2610.0,2610.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n467,garage,rlworkgroup/garage,,reinforcement-learning,https://github.com/rlworkgroup/garage,https://github.com/rlworkgroup/garage,MIT,2018-06-10 21:31:23.000000,2021-03-02 19:45:33.000000,2021-03-02 19:40:54.000000,201,182.0,775.0,1086,1199.0,A toolkit for reproducible reinforcement learning research.,73.0,22,True,2020-09-17 07:34:11.000000,2020.6.3,21.0,garage,,,,['tensorflow'],14.0,14.0,https://pypi.org/project/garage,2020-10-02 17:16:03.000000,0.0,174.0,174.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n468,pycm,sepandhaghighi/pycm,,others,https://github.com/sepandhaghighi/pycm,https://github.com/sepandhaghighi/pycm,MIT,2018-01-22 19:46:54.000000,2021-02-28 21:50:08.000000,2020-10-26 15:51:32.000000,91,17.0,150.0,1062,2508.0,Multi-class confusion matrix library in Python.,14.0,22,True,2020-10-26 16:31:56.000000,3.0,34.0,pycm,,,,,103.0,93.0,https://pypi.org/project/pycm,2020-10-26 16:32:30.000000,10.0,2471.0,2471.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n469,pandasql,yhat/pandasql,,data-containers,https://github.com/yhat/pandasql,https://github.com/yhat/pandasql,MIT,2013-02-18 01:53:56.000000,2020-08-14 13:00:13.000000,2017-02-01 15:40:30.000000,141,44.0,23.0,947,127.0,sqldf for pandas.,15.0,22,False,2016-04-20 21:52:36.000000,0.7.3,31.0,pandasql,,,,['pandas'],759.0,661.0,https://pypi.org/project/pandasql,2016-04-20 21:52:36.000000,98.0,127208.0,127208.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n470,fancyimpute,iskandr/fancyimpute,,sklearn-utils,https://github.com/iskandr/fancyimpute,https://github.com/iskandr/fancyimpute,Apache-2.0,2015-11-05 23:39:34.000000,2021-01-25 00:27:52.000000,2021-01-25 00:27:51.000000,146,4.0,103.0,935,198.0,Multivariate imputation and matrix completion algorithms implemented in Python.,11.0,22,True,2020-07-16 21:36:59.000000,0.5.5,26.0,fancyimpute,,,,['sklearn'],782.0,740.0,https://pypi.org/project/fancyimpute,2020-07-16 21:36:59.000000,42.0,4877.0,4877.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n471,ChainerRL,chainer/chainerrl,,reinforcement-learning,https://github.com/chainer/chainerrl,https://github.com/chainer/chainerrl,MIT,2017-01-30 04:58:15.000000,2020-12-09 06:26:53.000000,2020-12-09 06:26:52.000000,204,75.0,146.0,931,3458.0,ChainerRL is a deep reinforcement learning library built on top of Chainer.,29.0,22,True,2020-02-14 05:35:56.000000,0.8.0,10.0,chainerrl,,,,,105.0,91.0,https://pypi.org/project/chainerrl,2020-02-14 05:35:56.000000,14.0,294.0,294.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n472,Alibi,SeldonIO/alibi,,interpretability,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Apache-2.0,2019-02-26 10:10:56.000000,2021-03-04 11:50:02.000000,2021-03-04 11:49:56.000000,112,71.0,81.0,908,240.0,Algorithms for monitoring and explaining machine learning models.,12.0,22,True,2021-02-18 12:50:04.000000,0.5.6,16.0,alibi,,,,,82.0,64.0,https://pypi.org/project/alibi,2021-02-18 12:48:56.000000,18.0,3234.0,3234.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n473,luminol,linkedin/luminol,,time-series-data,https://github.com/linkedin/luminol,https://github.com/linkedin/luminol,Apache-2.0,2015-11-18 23:16:33.000000,2020-12-27 09:54:35.000000,2018-01-09 07:46:55.000000,179,24.0,12.0,881,69.0,Anomaly Detection and Correlation library.,8.0,22,False,2016-01-20 01:01:44.000000,0.3.1,5.0,luminol,,,,,51.0,37.0,https://pypi.org/project/luminol,2017-12-11 06:04:15.000000,14.0,188345.0,188345.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n474,FinTA,peerchemist/finta,,financial-data,https://github.com/peerchemist/finta,https://github.com/peerchemist/finta,LGPL-3.0,2016-09-01 21:02:46.000000,2021-01-28 17:17:10.000000,2021-01-28 17:16:53.000000,291,10.0,59.0,878,368.0,Common financial technical indicators implemented in Pandas.,22.0,22,False,2020-10-21 11:36:19.000000,1.2,19.0,finta,,,,,60.0,56.0,https://pypi.org/project/finta,2020-10-21 11:39:44.000000,4.0,3175.0,3175.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n475,keract,philipperemy/keract,,interpretability,https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57.000000,2021-02-04 06:05:42.000000,2021-01-24 05:36:29.000000,175,2.0,75.0,857,359.0,Activation Maps (Layers Outputs) and Gradients in Keras.,15.0,22,True,2021-01-22 09:01:30.000000,4.4.0,37.0,keract,,,,['tensorflow'],76.0,71.0,https://pypi.org/project/keract,2021-01-22 09:01:30.000000,5.0,894.0,894.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n476,scikit-cuda,lebedov/scikit-cuda,,gpu-utilities,https://github.com/lebedov/scikit-cuda,https://github.com/lebedov/scikit-cuda,BSD-3-Clause,2010-09-27 02:02:07.000000,2021-02-17 17:00:37.000000,2021-02-17 17:00:27.000000,156,41.0,164.0,799,1027.0,Python interface to GPU-powered libraries.,44.0,22,True,2019-05-27 00:29:00.000000,0.5.3,7.0,scikit-cuda,,,,,187.0,117.0,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00.000000,70.0,464.0,464.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n477,minisom,JustGlowing/minisom,,others,https://github.com/JustGlowing/minisom,https://github.com/JustGlowing/minisom,CC-BY-3.0,2013-07-03 10:10:06.000000,2021-02-25 16:35:41.000000,2021-02-25 16:35:41.000000,249,6.0,64.0,784,431.0,MiniSom is a minimalistic implementation of the Self Organizing Maps.,20.0,22,False,2020-11-03 08:23:06.000000,2.2.7,14.0,minisom,,,,,155.0,147.0,https://pypi.org/project/minisom,2020-06-19 06:29:59.000000,8.0,3029.0,3029.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n478,ogb,snap-stanford/ogb,,graph,https://github.com/snap-stanford/ogb,https://github.com/snap-stanford/ogb,MIT,2019-11-22 22:13:57.000000,2021-03-03 02:51:14.000000,2021-03-01 04:55:27.000000,117,,94.0,759,407.0,\"Benchmark datasets, data loaders, and evaluators for graph machine learning.\",12.0,22,True,2021-03-01 05:00:30.000000,1.2.6,11.0,ogb,,,,,56.0,56.0,https://pypi.org/project/ogb,2021-02-24 21:01:30.000000,0.0,1978.0,1978.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n479,Darts,unit8co/darts,,time-series-data,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000000,2021-03-02 09:22:26.000000,2021-02-03 09:28:07.000000,98,21.0,47.0,746,314.0,A python library for easy manipulation and forecasting of time series.,23.0,22,True,2021-02-03 11:18:37.000000,0.6.1,10.0,u8darts,,unit8/darts,,,12.0,12.0,https://pypi.org/project/u8darts,2021-02-03 11:18:37.000000,0.0,4359.0,4362.0,,,,https://hub.docker.com/r/unit8/darts,2021-02-03 09:39:53.970650,,101.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n480,Opacus,pytorch/opacus,,privacy-ml,https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000000,2021-03-04 01:10:28.000000,2021-03-04 01:08:02.000000,102,13.0,57.0,745,224.0,Training PyTorch models with differential privacy.,27.0,22,True,2021-03-03 01:02:57.000000,0.12.0,7.0,opacus,,,,['pytorch'],15.0,15.0,https://pypi.org/project/opacus,2021-03-03 01:02:57.000000,0.0,2894.0,2897.0,,,,,,,,2.0,30.0,,,,,,,,,,,,,,,,,,,,,\n481,gmaps,pbugnion/gmaps,,geospatial-data,https://github.com/pbugnion/gmaps,https://github.com/pbugnion/gmaps,BSD-3-Clause,2014-12-01 09:12:06.000000,2020-10-13 07:09:18.000000,2019-07-22 06:22:45.000000,143,66.0,135.0,701,1380.0,Google maps for Jupyter notebooks.,16.0,22,False,2019-07-21 08:49:48.715000,0.9.0,94.0,gmaps,conda-forge/gmaps,,,['jupyter'],75.0,1.0,https://pypi.org/project/gmaps,2019-07-21 08:49:39.000000,74.0,3447.0,9698.0,https://anaconda.org/conda-forge/gmaps,2019-08-02 11:56:50.940000,209262.0,,,,,3.0,,,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715000,,1702.0,,,,,,,,,,,,,,\n482,GPUtil,anderskm/gputil,,gpu-utilities,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43.000000,2020-10-01 05:42:49.000000,2019-08-16 09:00:15.000000,77,10.0,14.0,674,140.0,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,13.0,22,False,2018-12-18 09:12:13.000000,1.4.0,8.0,gputil,,,,,1132.0,1030.0,https://pypi.org/project/gputil,2018-12-18 09:12:13.000000,102.0,40756.0,40756.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n483,arch,bashtage/arch,,financial-data,https://github.com/bashtage/arch,https://github.com/bashtage/arch,NCSA,2014-08-29 15:41:28.000000,2021-03-03 14:50:43.000000,2021-03-03 14:43:14.000000,161,16.0,128.0,652,,ARCH models in Python.,26.0,22,False,2021-03-03 14:46:05.000000,4.18,31.0,arch,,,,,296.0,254.0,https://pypi.org/project/arch,2021-03-02 17:45:38.000000,42.0,24651.0,24651.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n484,Node2Vec,eliorc/node2vec,,graph,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000000,2021-01-09 08:40:34.000000,2021-01-09 08:39:26.000000,166,,48.0,645,48.0,Implementation of the node2vec algorithm.,7.0,22,True,2021-01-09 08:40:34.000000,0.4.1,13.0,node2vec,conda-forge/node2vec,,,,126.0,116.0,https://pypi.org/project/node2vec,2021-01-09 08:38:24.000000,10.0,4062.0,4531.0,https://anaconda.org/conda-forge/node2vec,2020-04-25 22:41:13.714000,15978.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n485,pingouin,raphaelvallat/pingouin,,probabilistics,https://github.com/raphaelvallat/pingouin,https://github.com/raphaelvallat/pingouin,GPL-3.0,2018-04-01 01:10:22.000000,2021-02-25 17:35:51.000000,2021-02-25 17:35:16.000000,53,13.0,114.0,640,1073.0,Statistical package in Python based on Pandas.,17.0,22,False,2021-02-16 05:46:44.000000,0.3.10,32.0,pingouin,conda-forge/pingouin,,,,182.0,172.0,https://pypi.org/project/pingouin,2021-02-16 05:37:08.000000,10.0,10970.0,12154.0,https://anaconda.org/conda-forge/pingouin,2021-02-16 07:48:18.164000,31986.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n486,scikit-multilearn,scikit-multilearn/scikit-multilearn,,sklearn-utils,https://github.com/scikit-multilearn/scikit-multilearn,https://github.com/scikit-multilearn/scikit-multilearn,BSD-2-Clause,2014-04-30 13:05:44.000000,2020-06-30 10:19:46.000000,2019-05-21 11:29:06.000000,120,64.0,92.0,635,487.0,A scikit-learn based module for multi-label et. al. classification.,15.0,22,False,2018-12-10 16:24:47.000000,0.2.0,6.0,scikit-multilearn,,,,['sklearn'],386.0,364.0,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47.000000,22.0,31461.0,31461.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n487,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,,data-viz,https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14.000000,2021-01-27 21:04:48.000000,2021-01-27 20:56:22.000000,78,21.0,55.0,620,262.0,Bokeh Plotting Backend for Pandas and GeoPandas.,11.0,22,True,2021-01-27 21:04:48.000000,0.5.3,14.0,pandas-bokeh,,,,['pandas'],149.0,139.0,https://pypi.org/project/pandas-bokeh,2021-01-27 21:04:48.000000,10.0,4401.0,4401.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n488,Prince,MaxHalford/prince,,others,https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000000,2021-02-24 22:35:15.000000,2021-01-11 21:14:58.000000,113,26.0,64.0,583,179.0,\"Python factor analysis library (PCA, CA, MCA, MFA, FAMD).\",9.0,22,True,2020-10-06 11:26:47.000000,0.7.1,41.0,prince,,,,['sklearn'],114.0,108.0,https://pypi.org/project/prince,2020-10-06 11:26:47.000000,6.0,5025.0,5025.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n489,Sentinelsat,sentinelsat/sentinelsat,,geospatial-data,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26.000000,2021-02-08 09:57:22.000000,2021-01-31 18:47:01.000000,163,31.0,209.0,572,801.0,Search and download Copernicus Sentinel satellite images.,34.0,22,False,2020-06-12 07:15:51.000000,0.14,36.0,sentinelsat,,,,,214.0,170.0,https://pypi.org/project/sentinelsat,2020-06-12 07:08:37.000000,44.0,5088.0,5091.0,,,,,,,,3.0,195.0,,,,,,,,,,,,,,,,,,,,,\n490,Guild AI,guildai/guildai,,ml-experiments,https://github.com/guildai/guildai,https://github.com/guildai/guildai,Apache-2.0,2017-09-27 18:57:50.000000,2021-03-01 22:24:06.000000,2021-03-01 22:23:54.000000,41,99.0,154.0,551,4425.0,\"Experiment tracking, ML developer tools.\",16.0,22,True,2021-01-14 21:03:23.000000,0.7.2,165.0,guildai,,,,,26.0,26.0,https://pypi.org/project/guildai,2021-02-24 01:36:05.000000,,1151.0,1151.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n491,combo,yzhao062/combo,,sklearn-utils,https://github.com/yzhao062/combo,https://github.com/yzhao062/combo,BSD-2-Clause,2019-07-14 01:13:36.000000,2020-12-23 14:27:11.000000,2020-12-23 14:27:05.000000,81,9.0,3.0,481,201.0,(AAAI' 20) A Python Toolbox for Machine Learning Model Combination.,1.0,22,True,2020-12-23 02:21:49.000000,0.1.2,12.0,combo,,,,\"['sklearn', 'xgboost']\",290.0,290.0,https://pypi.org/project/combo,2020-12-23 02:21:49.000000,0.0,32988.0,32988.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n492,random-forest-importances,parrt/random-forest-importances,,interpretability,https://github.com/parrt/random-forest-importances,https://github.com/parrt/random-forest-importances,MIT,2018-03-22 19:20:13.000000,2021-01-30 21:50:08.000000,2021-01-30 21:50:02.000000,92,4.0,27.0,414,249.0,Code to compute permutation and drop-column importances in Python scikit-learn models.,14.0,22,True,2021-01-28 23:23:17.000000,1.3.7,22.0,rfpimp,,,,['sklearn'],69.0,65.0,https://pypi.org/project/rfpimp,2021-01-28 23:19:33.000000,4.0,5435.0,5435.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n493,GeoViews,holoviz/geoviews,,geospatial-data,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000000,2020-11-13 20:59:34.000000,2020-09-21 16:31:16.000000,62,80.0,169.0,333,635.0,\"Simple, concise geographical visualization in Python.\",22.0,22,True,2020-09-23 18:59:07.000000,1.8.0,21.0,geoviews,conda-forge/geoviews,,,,228.0,208.0,https://pypi.org/project/geoviews,2020-03-30 19:17:21.000000,20.0,2105.0,3764.0,https://anaconda.org/conda-forge/geoviews,2020-09-23 20:06:48.808000,59724.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n494,Cornac,PreferredAI/cornac,,recommender-systems,https://github.com/PreferredAI/cornac,https://github.com/PreferredAI/cornac,Apache-2.0,2018-07-17 06:31:35.000000,2021-01-29 10:40:32.008000,2021-01-29 07:00:14.000000,57,2.0,31.0,305,1162.0,A Comparative Framework for Multimodal Recommender Systems.,11.0,22,True,2021-01-29 08:08:54.000000,1.11.0,36.0,cornac,conda-forge/cornac,,,,28.0,27.0,https://pypi.org/project/cornac,2021-01-29 08:06:15.000000,1.0,559.0,5628.0,https://anaconda.org/conda-forge/cornac,2021-01-29 10:40:32.008000,111520.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n495,vega,vega/ipyvega,,data-viz,https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000000,2021-03-02 09:29:20.000000,2021-03-02 09:26:55.000000,46,8.0,79.0,296,485.0,IPython/Jupyter notebook module for Vega and Vega-Lite.,9.0,22,True,2020-05-15 23:40:02.000000,3.4.0,37.0,vega,conda-forge/vega,,,['jupyter'],148.0,,https://pypi.org/project/vega,2020-05-15 23:40:02.000000,148.0,8211.0,15055.0,https://anaconda.org/conda-forge/vega,2020-12-10 15:03:57.175000,390134.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n496,pyvips,libvips/pyvips,,image,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000000,2021-02-24 09:49:23.000000,2021-02-24 09:49:23.000000,25,73.0,138.0,294,392.0,python binding for libvips using cffi.,10.0,22,True,2020-12-18 11:44:57.000000,2.1.14,20.0,pyvips,conda-forge/pyvips,,,,177.0,155.0,https://pypi.org/project/pyvips,2020-12-18 11:44:57.000000,22.0,3496.0,3873.0,https://anaconda.org/conda-forge/pyvips,2020-10-14 10:02:33.542000,7167.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n497,SUOD,yzhao062/SUOD,,others,https://github.com/yzhao062/SUOD,https://github.com/yzhao062/SUOD,BSD-2-Clause,2019-11-20 00:23:54.000000,2021-01-19 14:42:08.000000,2021-01-19 14:42:01.000000,29,3.0,2.0,242,134.0,(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection).,1.0,22,True,2021-01-15 02:12:04.000000,0.0.6,7.0,suod,,,,,277.0,277.0,https://pypi.org/project/suod,2021-01-15 02:12:04.000000,,32197.0,32197.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n498,TensorFlow Cloud,tensorflow/cloud,,tensorflow-utils,https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59.000000,2021-03-03 06:16:32.000000,2021-03-03 06:16:23.000000,47,47.0,25.0,228,517.0,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,17.0,22,True,2021-02-09 23:34:43.000000,0.1.13,16.0,tensorflow-cloud,,,,['tensorflow'],28.0,28.0,https://pypi.org/project/tensorflow-cloud,2021-02-09 23:34:43.000000,0.0,58287.0,58287.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n499,Orion,Epistimio/orion,,hyperopt,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21.000000,2021-03-03 14:18:37.000000,2021-02-25 01:41:32.000000,35,30.0,107.0,184,2470.0,Asynchronous Distributed Hyperparameter Optimization.,18.0,22,True,2021-01-19 22:46:16.000000,0.1.12,13.0,orion,,,,,48.0,40.0,https://pypi.org/project/orion,2021-01-19 22:46:16.000000,8.0,713.0,713.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n500,pyexcel-xlsx,pyexcel/pyexcel-xlsx,,data-loading,https://github.com/pyexcel/pyexcel-xlsx,https://github.com/pyexcel/pyexcel-xlsx,BSD-3-Clause,2014-12-02 00:03:24.000000,2020-11-28 22:30:58.000000,2020-11-28 22:30:53.000000,16,12.0,20.0,85,267.0,\"A wrapper library to read, manipulate and write data in xlsx and xlsm format using openpyxl.\",4.0,22,False,2020-10-10 13:13:32.000000,0.6.0,30.0,pyexcel-xlsx,conda-forge/pyexcel-xlsx,,,,1436.0,1126.0,https://pypi.org/project/pyexcel-xlsx,2020-10-10 13:13:32.000000,310.0,26796.0,27168.0,https://anaconda.org/conda-forge/pyexcel-xlsx,2020-10-10 15:53:49.660000,15253.0,,,,,3.0,46.0,,,,,,,,,,,,,,,,,,,,,\n501,openpyxl,,,data-loading,,https://openpyxl.readthedocs.io,MIT,2015-11-03 00:22:17.154000,2021-01-16 15:51:35.602000,,0,188.0,1441.0,17,,A Python library to read/write Excel 2010 xlsx/xlsm files.,,22,False,2021-01-14 19:15:29.000000,3.0.6,96.0,openpyxl,openpyxl,openpyxl/openpyxl-ci,https://openpyxl.readthedocs.io/en/stable/,,9770.0,,https://pypi.org/project/openpyxl,2021-01-14 19:00:13.000000,9770.0,4826796.0,4827504.0,https://anaconda.org/anaconda/openpyxl,2021-01-16 15:51:35.602000,44187.0,https://hub.docker.com/r/openpyxl/openpyxl-ci,2018-09-13 18:04:17.646261,,1180.0,3.0,,,,,,,,,0.0,,,,,,,,,,,,https://foss.heptapod.net/api/graphql::openpyxl/openpyxl,https://foss.heptapod.net/openpyxl/openpyxl\n502,Recommenders,microsoft/recommenders,,recommender-systems,https://github.com/microsoft/recommenders,https://github.com/microsoft/recommenders,MIT,2018-09-19 10:06:07.000000,2021-03-02 14:05:06.000000,2021-02-11 11:15:36.000000,1600,115.0,436.0,9276,6334.0,Best Practices on Recommendation Systems.,89.0,21,True,2021-02-04 14:08:48.000000,2021.2,7.0,,,,,,1.0,1.0,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n503,cortex,cortexlabs/cortex,,model-serialisation,https://github.com/cortexlabs/cortex,https://github.com/cortexlabs/cortex,Apache-2.0,2019-01-24 04:43:14.000000,2021-03-03 20:42:05.000000,2021-03-03 00:00:06.000000,562,176.0,748.0,7373,1916.0,Model serving at scale.,18.0,21,True,2021-03-03 00:30:07.000000,0.30.0,48.0,cortex,,,,,0.0,,https://pypi.org/project/cortex,2021-03-03 00:02:29.000000,0.0,762.0,762.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n504,mace,XiaoMi/mace,,ml-frameworks,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12.000000,2021-03-03 01:09:25.000000,2021-03-02 12:23:05.000000,758,42.0,589.0,4313,3124.0,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,56.0,21,True,2021-03-03 01:09:26.000000,1.0.3,10.0,,,,,,,,,,,,41.0,,,,,,,,3.0,1300.0,,,,,,,,,,,,,,,,,,,,,\n505,cuDF,rapidsai/cudf,,gpu-utilities,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000000,2021-03-04 12:51:21.000000,2021-03-04 12:40:45.000000,493,596.0,2844.0,3706,,cuDF - GPU DataFrame Library.,205.0,21,True,2021-02-24 18:09:03.000000,0.18.0,5.0,cudf,,,,,4.0,,https://pypi.org/project/cudf,2020-06-01 20:07:47.000000,4.0,401.0,401.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n506,DeepMatcher,anhaidgroup/deepmatcher,,nlp,https://github.com/anhaidgroup/deepmatcher,https://github.com/anhaidgroup/deepmatcher,BSD-3-Clause,2017-12-01 19:01:11.000000,2020-09-27 17:25:56.000000,2020-04-20 02:34:24.000000,1297,47.0,18.0,3468,169.0,Python package for performing Entity and Text Matching using Deep Learning.,7.0,21,True,2019-12-30 19:49:33.000000,0.1.1,9.0,deepmatcher,,,,,10.0,10.0,https://pypi.org/project/deepmatcher,2019-12-30 19:49:33.000000,,201.0,201.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n507,Image Deduplicator,idealo/imagededup,,image,https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54.000000,2020-12-21 13:30:38.000000,2020-11-23 17:40:40.000000,283,20.0,55.0,3408,460.0,Finding duplicate images made easy!.,9.0,21,True,2020-11-23 17:55:24.000000,0.2.4,9.0,imagededup,,,,['tensorflow'],12.0,10.0,https://pypi.org/project/imagededup,2020-11-22 21:09:36.000000,2.0,1014.0,1014.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n508,AdaNet,tensorflow/adanet,,hyperopt,https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24.000000,2020-07-09 21:03:28.000000,2020-07-09 20:51:04.000000,502,64.0,47.0,3241,439.0,Fast and flexible AutoML with learning guarantees.,26.0,21,True,2020-07-09 21:03:28.000000,0.9.0,13.0,adanet,,,,['tensorflow'],37.0,35.0,https://pypi.org/project/adanet,2020-07-09 21:03:28.000000,2.0,424.0,424.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n509,TensorTrade,tensortrade-org/tensortrade,,financial-data,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32.000000,2021-02-13 17:34:42.000000,2021-02-13 17:34:42.000000,678,21.0,141.0,3006,881.0,\"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.\",50.0,21,True,,,26.0,tensortrade,,,,,11.0,10.0,https://pypi.org/project/tensortrade,2020-12-20 18:30:31.000000,1.0,752.0,752.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n510,NLP Architect,IntelLabs/nlp-architect,,nlp,https://github.com/IntelLabs/nlp-architect,https://github.com/IntelLabs/nlp-architect,Apache-2.0,2018-05-17 21:00:13.000000,2021-02-24 06:15:04.000000,2021-01-14 15:53:57.000000,394,16.0,104.0,2606,949.0,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,36.0,21,True,2020-11-17 12:32:37.000000,0.5.5.1,13.0,nlp-architect,,,,,7.0,7.0,https://pypi.org/project/nlp-architect,2020-04-12 11:34:38.000000,,189.0,189.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n511,Image Super-Resolution,idealo/image-super-resolution,,image,https://github.com/idealo/image-super-resolution,https://github.com/idealo/image-super-resolution,Apache-2.0,2018-11-26 13:41:13.000000,2020-11-11 15:09:20.000000,2020-11-11 15:09:19.000000,486,58.0,101.0,2573,138.0,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,9.0,21,True,2020-01-08 15:37:35.000000,2.2.0,11.0,ISR,,idealo/image-super-resolution-gpu,,['tensorflow'],50.0,42.0,https://pypi.org/project/ISR,2020-01-08 15:37:35.000000,8.0,1950.0,1954.0,,,,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,,131.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n512,gpt-2-simple,minimaxir/gpt-2-simple,,nlp,https://github.com/minimaxir/gpt-2-simple,https://github.com/minimaxir/gpt-2-simple,MIT,2019-04-13 20:00:52.000000,2021-02-14 21:13:20.000000,2021-02-14 19:39:38.000000,524,136.0,92.0,2530,133.0,Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts.,17.0,21,True,2021-02-14 21:13:20.000000,0.7.2,16.0,gpt-2-simple,,,,['tensorflow'],3.0,,https://pypi.org/project/gpt-2-simple,2021-02-14 20:20:24.000000,3.0,4908.0,4916.0,,,,,,,,3.0,196.0,,,,,,,,,,,,,,,,,,,,,\n513,tensorflow-graphics,tensorflow/graphics,,image,https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44.000000,2021-03-02 00:04:04.000000,2021-02-26 13:48:43.000000,282,101.0,82.0,2411,626.0,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,32.0,21,True,2020-05-20 19:56:41.000000,2020.5.20,21.0,tensorflow-graphics,,,,['tensorflow'],3.0,,https://pypi.org/project/tensorflow-graphics,2020-05-20 19:56:41.000000,3.0,725.0,725.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n514,DeepVariant,google/deepvariant,,medical-data,https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000000,2021-03-03 23:04:33.000000,2021-03-03 23:00:30.000000,537,3.0,383.0,2205,1503.0,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,19.0,21,True,2020-12-07 17:56:31.000000,1.1.0,15.0,,bioconda/deepvariant,,,['tensorflow'],,,,,,,799.0,https://anaconda.org/bioconda/deepvariant,2020-09-05 07:25:11.429000,27414.0,,,,,3.0,3053.0,,,,,,,,,,,,,,,,,,,,,\n515,Texar,asyml/texar,,nlp,https://github.com/asyml/texar,https://github.com/asyml/texar,Apache-2.0,2017-07-22 19:02:05.000000,2020-09-17 07:03:55.000000,2020-07-29 00:38:30.000000,330,32.0,126.0,2115,1719.0,\"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the..\",41.0,21,True,2019-11-19 04:11:18.000000,0.2.4,6.0,texar,,,,['tensorflow'],14.0,12.0,https://pypi.org/project/texar,2019-11-19 04:11:18.000000,2.0,47.0,47.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n516,Mars,mars-project/mars,,others,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03.000000,2021-03-02 16:32:15.000000,2021-03-02 14:41:10.000000,242,116.0,667.0,2054,734.0,\"Mars is a tensor-based unified framework for large-scale data computation which scales Numpy, pandas, Scikit-learn and..\",18.0,21,True,2021-02-22 06:27:42.000000,0.6.5,75.0,pymars,,,,,3.0,3.0,https://pypi.org/project/pymars,2021-02-25 12:23:36.000000,0.0,627.0,627.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n517,PARL,PaddlePaddle/PARL,,reinforcement-learning,https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22.000000,2021-03-04 09:36:20.000000,2021-03-04 04:58:59.000000,435,53.0,153.0,1848,1.0,A high-performance distributed training framework for Reinforcement Learning.,21.0,21,True,2021-01-08 08:16:06.000000,1.4.1,16.0,parl,,,,['paddle'],68.0,68.0,https://pypi.org/project/parl,2021-01-08 08:16:06.000000,,182.0,182.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n518,m2cgen,BayesWitnesses/m2cgen,,model-serialisation,https://github.com/BayesWitnesses/m2cgen,https://github.com/BayesWitnesses/m2cgen,MIT,2019-01-13 02:32:55.000000,2021-03-02 05:04:18.000000,2020-10-07 17:33:12.000000,153,36.0,36.0,1761,227.0,\"Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart,..\",12.0,21,True,2020-09-18 19:17:26.000000,0.9.0,12.0,m2cgen,,,,,5.0,5.0,https://pypi.org/project/m2cgen,2020-09-18 19:16:17.000000,,5839.0,5839.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n519,cleanlab,cgnorthcutt/cleanlab,,others,https://github.com/cgnorthcutt/cleanlab,https://github.com/cgnorthcutt/cleanlab,GPL-3.0,2018-05-11 01:55:21.000000,2021-03-03 23:30:58.000000,2021-03-03 23:30:58.000000,162,17.0,35.0,1529,737.0,The standard package for machine learning with noisy labels and finding mislabeled data in Python.,5.0,21,False,2020-02-17 07:33:06.000000,0.1.1,15.0,cleanlab,,,,,10.0,10.0,https://pypi.org/project/cleanlab,2020-02-17 07:33:06.000000,,2042.0,2042.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n520,auto_ml,ClimbsRocks/auto_ml,,hyperopt,https://github.com/ClimbsRocks/auto_ml,https://github.com/ClimbsRocks/auto_ml,MIT,2016-08-07 21:35:08.000000,2021-02-10 07:52:35.000000,2018-03-25 19:46:25.000000,293,185.0,215.0,1523,1149.0,[UNMAINTAINED] Automated machine learning for analytics & production.,13.0,21,False,2018-02-22 01:13:03.000000,2.9.10,78.0,auto_ml,,,,,2.0,,https://pypi.org/project/auto_ml,2018-02-22 01:13:03.000000,2.0,1592.0,1592.0,,,,,,,,3.0,33.0,,,,,,,,,,,,,,,,,,,,,\n521,lore,instacart/lore,,ml-experiments,https://github.com/instacart/lore,https://github.com/instacart/lore,MIT,2017-10-19 21:51:45.000000,2021-02-22 18:13:04.000000,2020-05-11 22:26:45.000000,118,16.0,18.0,1514,270.0,Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers.,22.0,21,True,2020-05-11 22:28:23.000000,0.8.4,231.0,lore,,,,,17.0,16.0,https://pypi.org/project/lore,2020-05-11 22:28:23.000000,1.0,565.0,565.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n522,Talos,autonomio/talos,,hyperopt,https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41.000000,2020-11-21 16:37:14.000000,2020-11-21 16:27:04.000000,224,41.0,346.0,1381,538.0,\"Hyperparameter Optimization for TensorFlow, Keras and PyTorch.\",19.0,21,True,2020-11-09 16:48:30.000000,1.0,14.0,talos,,,,['tensorflow'],115.0,109.0,https://pypi.org/project/talos,2020-11-09 16:49:08.000000,6.0,950.0,950.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n523,Neural Tangents,google/neural-tangents,,ml-frameworks,https://github.com/google/neural-tangents,https://github.com/google/neural-tangents,Apache-2.0,2019-04-08 16:48:48.000000,2021-02-18 07:37:24.000000,2021-02-18 07:37:19.000000,148,28.0,53.0,1344,367.0,Fast and Easy Infinite Neural Networks in Python.,17.0,21,True,2021-01-25 23:20:02.000000,0.3.6,20.0,neural-tangents,,,,,14.0,14.0,https://pypi.org/project/neural-tangents,2021-01-25 23:06:16.000000,0.0,639.0,651.0,,,,,,,,3.0,112.0,,,,,,,,,,,,,,,,,,,,,\n524,NiftyNet,NifTK/NiftyNet,,medical-data,https://github.com/NifTK/NiftyNet,https://github.com/NifTK/NiftyNet,Apache-2.0,2017-08-30 07:55:43.000000,2020-04-21 19:54:52.000000,2020-04-21 19:54:51.000000,385,102.0,224.0,1270,2848.0,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,58.0,21,True,2019-10-10 10:59:33.000000,0.6.0,11.0,niftynet,,,,['tensorflow'],34.0,33.0,https://pypi.org/project/niftynet,2019-10-10 10:59:33.000000,1.0,92.0,92.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n525,Torchmeta,tristandeleu/pytorch-meta,,pytorch-utils,https://github.com/tristandeleu/pytorch-meta,https://github.com/tristandeleu/pytorch-meta,MIT,2018-12-04 23:36:45.000000,2021-02-25 13:32:40.000000,2020-11-25 16:41:48.000000,138,23.0,71.0,1226,341.0,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.,10.0,21,True,2020-11-25 16:45:01.000000,1.6.1,26.0,torchmeta,,,,['pytorch'],29.0,29.0,https://pypi.org/project/torchmeta,2020-11-25 16:45:01.000000,,335.0,335.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n526,Karate Club,benedekrozemberczki/karateclub,,graph,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56.000000,2021-02-27 21:30:28.000000,2021-02-27 21:30:20.000000,137,,47.0,1171,2118.0,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,11.0,21,False,2021-01-25 18:14:21.000000,_10023,96.0,karateclub,,,,,27.0,27.0,https://pypi.org/project/karateclub,2021-01-25 18:11:58.000000,0.0,2271.0,2271.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n527,Classy Vision,facebookresearch/ClassyVision,,image,https://github.com/facebookresearch/ClassyVision,https://github.com/facebookresearch/ClassyVision,MIT,2019-09-13 22:54:44.000000,2021-03-03 14:50:01.000000,2021-03-03 03:32:30.000000,208,48.0,46.0,1159,342.0,An end-to-end PyTorch framework for image and video classification.,59.0,21,True,2020-11-20 21:02:29.000000,0.5.0,15.0,classy_vision,conda-forge/classy_vision,,,['pytorch'],0.0,,https://pypi.org/project/classy_vision,2020-11-20 21:02:29.000000,0.0,112.0,553.0,https://anaconda.org/conda-forge/classy_vision,2020-12-11 20:08:25.437000,6180.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n528,datatable,h2oai/datatable,,data-containers,https://github.com/h2oai/datatable,https://github.com/h2oai/datatable,MPL-2.0,2017-03-03 02:32:59.000000,2021-03-03 23:52:45.000000,2021-03-03 04:14:48.000000,96,125.0,1114.0,1151,,A Python package for manipulating 2-dimensional tabular data structures.,28.0,21,True,2020-12-10 09:10:50.000000,0.11.1,15.0,datatable,,,,,6.0,,https://pypi.org/project/datatable,2020-12-10 08:04:03.000000,6.0,12066.0,12088.0,,,,,,,,3.0,946.0,,,,,,,,,,,,,,,,,,,,,\n529,tensorly,tensorly/tensorly,,others,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52.000000,2021-03-04 12:22:07.000000,2021-02-26 16:10:37.000000,189,24.0,94.0,960,,TensorLy: Tensor Learning in Python.,41.0,21,True,2020-12-07 20:30:41.000000,0.5.1,16.0,tensorly,conda-forge/tensorly,,,,20.0,,https://pypi.org/project/tensorly,2020-12-07 20:30:41.000000,20.0,2066.0,5539.0,https://anaconda.org/conda-forge/tensorly,2020-12-07 22:44:30.386000,118106.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n530,mljar-supervised,mljar/mljar-supervised,,hyperopt,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000000,2021-03-04 12:16:16.000000,2021-03-04 12:16:16.000000,120,47.0,251.0,935,805.0,Automates Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning.,7.0,21,True,2021-03-02 16:47:09.000000,0.9.1,66.0,mljar-supervised,,,,,10.0,10.0,https://pypi.org/project/mljar-supervised,2021-03-02 09:50:08.000000,,1948.0,1948.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n531,attention-ocr,emedvedev/attention-ocr,,ocr,https://github.com/emedvedev/attention-ocr,https://github.com/emedvedev/attention-ocr,MIT,2017-07-21 18:35:19.000000,2021-02-23 04:33:25.000000,2020-10-31 19:40:19.000000,229,18.0,126.0,841,196.0,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,27.0,21,True,2020-10-12 06:56:40.000000,0.7.6,21.0,aocr,,,,['tensorflow'],15.0,15.0,https://pypi.org/project/aocr,2019-04-19 05:28:27.000000,,114.0,114.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n532,FairScale,facebookresearch/fairscale,,distributed-ml,https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000000,2021-03-04 11:32:34.000000,2021-03-04 04:32:58.000000,62,35.0,90.0,826,307.0,PyTorch extensions for high performance and large scale training.,22.0,21,True,2021-02-23 06:57:14.000000,0.3.0,12.0,fairscale,,,,['pytorch'],6.0,6.0,https://pypi.org/project/fairscale,2021-02-23 06:56:05.000000,0.0,4378.0,4378.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n533,Neural Structured Learning,tensorflow/neural-structured-learning,,tensorflow-utils,https://github.com/tensorflow/neural-structured-learning,https://github.com/tensorflow/neural-structured-learning,Apache-2.0,2019-08-27 21:48:16.000000,2021-03-03 06:14:30.000000,2021-03-03 06:14:25.000000,141,3.0,40.0,786,367.0,Training neural models with structured signals.,27.0,21,True,2020-08-18 00:35:35.000000,1.3.1,7.0,neural-structured-learning,,,,['tensorflow'],37.0,37.0,https://pypi.org/project/neural-structured-learning,2020-08-18 00:35:35.000000,0.0,1315.0,1315.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n534,iNNvestigate,albermax/innvestigate,,interpretability,https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20.000000,2020-12-30 15:22:24.000000,2020-10-16 15:26:56.000000,173,75.0,129.0,776,882.0,A toolbox to iNNvestigate neural networks' predictions!.,18.0,21,True,2020-11-14 11:35:59.000000,1.0.9,2.0,innvestigate,,,,['tensorflow'],52.0,51.0,https://pypi.org/project/innvestigate,2020-11-14 11:35:59.000000,1.0,284.0,284.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n535,Explainability 360,Trusted-AI/AIX360,,interpretability,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48.000000,2020-12-04 16:51:14.000000,2020-12-04 16:49:39.000000,168,26.0,18.0,774,305.0,Interpretability and explainability of data and machine learning models.,27.0,21,True,2020-10-28 09:32:21.000000,0.2.1,4.0,aix360,,,,,14.0,13.0,https://pypi.org/project/aix360,2020-10-28 09:18:17.000000,1.0,509.0,509.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n536,tf-explain,sicara/tf-explain,,interpretability,https://github.com/sicara/tf-explain,https://github.com/sicara/tf-explain,MIT,2019-07-15 08:26:24.000000,2021-03-02 11:04:28.000000,2021-02-04 18:16:59.000000,73,33.0,45.0,772,197.0,Interpretability Methods for tf.keras models with Tensorflow 2.x.,13.0,21,True,2021-02-16 18:59:38.000000,0.3.0,7.0,tf-explain,,,,['tensorflow'],66.0,64.0,https://pypi.org/project/tf-explain,2021-02-16 18:59:38.000000,2.0,765.0,765.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n537,kapre,keunwoochoi/kapre,,audio,https://github.com/keunwoochoi/kapre,https://github.com/keunwoochoi/kapre,MIT,2016-12-14 18:36:36.000000,2021-02-22 13:28:35.000000,2020-11-16 17:11:54.000000,129,5.0,80.0,718,188.0,kapre: Keras Audio Preprocessors.,13.0,21,True,2020-09-29 18:49:13.000000,0.3.4,21.0,kapre,,,,['tensorflow'],551.0,540.0,https://pypi.org/project/kapre,2020-09-29 18:49:13.000000,11.0,866.0,866.0,,,,,,,,3.0,8.0,,,,,,,,,,,,,,,,,,,,,\n538,fairlearn,fairlearn/fairlearn,,interpretability,https://github.com/fairlearn/fairlearn,https://github.com/fairlearn/fairlearn,MIT,2018-05-15 01:51:35.000000,2021-03-04 00:58:57.000000,2021-02-19 23:30:36.000000,168,76.0,112.0,688,556.0,A Python package to assess and improve fairness of machine learning models.,29.0,21,True,2021-02-06 23:47:07.000000,0.6.0,13.0,fairlearn,conda-forge/fairlearn,,,['sklearn'],2.0,,https://pypi.org/project/fairlearn,2021-02-04 12:58:01.000000,2.0,3792.0,4565.0,https://anaconda.org/conda-forge/fairlearn,2021-02-03 19:59:47.855000,10049.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n539,torch-scatter,rusty1s/pytorch_scatter,,pytorch-utils,https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23.000000,2021-03-03 06:45:26.000000,2021-03-03 06:45:23.000000,73,62.0,112.0,604,818.0,PyTorch Extension Library of Optimized Scatter Operations.,15.0,21,True,2021-03-02 14:52:22.000000,2.0.6,26.0,torch-scatter,,,,['pytorch'],32.0,,https://pypi.org/project/torch-scatter,2021-03-03 06:21:28.000000,32.0,5130.0,5130.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n540,Mapbox GL,mapbox/mapboxgl-jupyter,,geospatial-data,https://github.com/mapbox/mapboxgl-jupyter,https://github.com/mapbox/mapboxgl-jupyter,MIT,2017-08-08 15:10:51.000000,2021-03-02 19:26:30.000000,2019-12-03 21:57:25.000000,121,35.0,67.0,558,220.0,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,20.0,21,False,2019-06-03 21:24:10.000000,0.10.2,20.0,mapboxgl,,,,['jupyter'],109.0,91.0,https://pypi.org/project/mapboxgl,2019-06-02 15:18:57.000000,18.0,3201.0,3201.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n541,pickleDB,patx/pickledb,,data-containers,https://github.com/patx/pickledb,https://github.com/patx/pickledb,BSD-3-Clause,2011-10-28 00:04:40.000000,2020-08-25 09:47:52.000000,2019-11-15 03:38:30.000000,93,22.0,39.0,544,105.0,pickleDB is an open source key-value store using Python's json module.,11.0,21,False,2019-01-14 18:48:25.000000,0.9.2,20.0,pickledb,,,,,622.0,510.0,https://pypi.org/project/pickledb,2019-01-14 18:48:25.000000,112.0,11549.0,11549.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n542,HpBandSter,automl/HpBandSter,,hyperopt,https://github.com/automl/HpBandSter,https://github.com/automl/HpBandSter,BSD-3-Clause,2017-12-17 20:28:20.000000,2021-01-31 10:05:37.000000,2019-03-26 09:26:28.000000,96,57.0,35.0,454,187.0,a distributed Hyperband implementation on Steroids.,11.0,21,False,2019-07-30 12:47:43.000000,1.0,8.0,hpbandster,,,,,144.0,128.0,https://pypi.org/project/hpbandster,2018-11-06 12:56:55.000000,16.0,8231.0,8231.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n543,Neuraxle,Neuraxio/Neuraxle,,hyperopt,https://github.com/Neuraxio/Neuraxle,https://github.com/Neuraxio/Neuraxle,Apache-2.0,2019-03-26 21:01:54.000000,2021-03-04 00:18:55.000000,2021-02-25 16:08:50.000000,40,130.0,143.0,376,1406.0,A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right..,7.0,21,True,2021-02-25 16:05:06.000000,0.5.7,20.0,neuraxle,,,,,17.0,17.0,https://pypi.org/project/neuraxle,2021-02-25 16:00:44.000000,0.0,209.0,209.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n544,Studio.ml,studioml/studio,,ml-experiments,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28.000000,2021-02-24 02:17:15.000000,2021-02-24 02:13:01.000000,50,56.0,189.0,370,2337.0,Studio: Simplify and expedite model building process.,21.0,21,True,2021-02-24 00:53:47.000000,0.0.42,189.0,studioml,,,,,3.0,3.0,https://pypi.org/project/studioml,2021-02-24 02:17:15.000000,,636.0,636.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n545,aequitas,dssg/aequitas,,interpretability,https://github.com/dssg/aequitas,https://github.com/dssg/aequitas,MIT,2018-02-13 19:40:30.000000,2021-03-03 15:38:43.000000,2021-02-23 13:51:06.000000,66,33.0,21.0,364,856.0,Bias and Fairness Audit Toolkit.,16.0,21,True,2020-12-16 11:48:14.000000,0.42.0,16.0,aequitas,,,,,71.0,68.0,https://pypi.org/project/aequitas,2020-12-16 11:48:14.000000,3.0,200.0,200.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n546,pydlm,wwrechard/pydlm,,time-series-data,https://github.com/wwrechard/pydlm,https://github.com/wwrechard/pydlm,BSD-3-Clause,2016-06-29 07:58:53.000000,2021-02-24 14:21:28.000000,2019-10-22 07:18:40.000000,83,35.0,7.0,360,362.0,A python library for Bayesian time series modeling.,6.0,21,False,2016-11-06 01:43:35.000000,0.1.1,13.0,pydlm,,,,,18.0,16.0,https://pypi.org/project/pydlm,2018-12-19 10:27:54.000000,2.0,12307.0,12307.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n547,Pandas Summary,mouradmourafiq/pandas-summary,,data-containers,https://github.com/mouradmourafiq/pandas-summary,https://github.com/mouradmourafiq/pandas-summary,MIT,2016-03-25 21:59:32.000000,2019-08-24 21:10:25.000000,2019-08-24 21:10:24.000000,36,8.0,5.0,358,24.0,An extension to pandas dataframes describe function.,6.0,21,False,2016-08-30 07:54:59.000000,0.0.41,8.0,pandas-summary,,,,['pandas'],663.0,573.0,https://pypi.org/project/pandas-summary,2016-08-30 07:54:59.000000,90.0,17293.0,17293.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n548,PyTorch Sparse,rusty1s/pytorch_sparse,,pytorch-utils,https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53.000000,2021-03-03 15:26:45.000000,2021-03-03 08:03:42.000000,44,37.0,53.0,358,516.0,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,12.0,21,True,2021-03-03 15:26:45.000000,0.6.9,21.0,torch-sparse,,,,['pytorch'],34.0,,https://pypi.org/project/torch-sparse,2020-11-02 10:43:20.000000,34.0,3594.0,3594.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n549,SDV,sdv-dev/SDV,,data-loading,https://github.com/sdv-dev/SDV,https://github.com/sdv-dev/SDV,MIT,2018-05-11 15:56:50.000000,2021-03-03 17:52:57.000000,2021-02-24 22:15:38.000000,62,50.0,145.0,346,792.0,\"Synthetic Data Generation for tabular, relational and time series data.\",33.0,21,True,2021-02-24 22:16:26.000000,0.8.0,42.0,sdv,,,,,16.0,16.0,https://pypi.org/project/sdv,2021-02-24 22:15:34.000000,0.0,937.0,937.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n550,torch-cluster,rusty1s/pytorch_cluster,,graph,https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06.000000,2021-03-03 08:13:10.000000,2021-03-03 08:13:07.000000,71,36.0,39.0,343,515.0,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,18.0,21,True,2021-03-01 13:58:47.000000,1.5.9,39.0,torch-cluster,,,,['pytorch'],32.0,,https://pypi.org/project/torch-cluster,2021-03-01 12:28:43.000000,32.0,2902.0,2902.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n551,Submit it,facebookincubator/submitit,,distributed-ml,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09.000000,2021-03-02 12:37:05.000000,2021-02-10 11:19:06.000000,21,11.0,18.0,311,54.0,Python 3.6+ toolbox for submitting jobs to Slurm.,9.0,21,True,2021-02-10 11:17:48.000000,1.2.1,10.0,submitit,conda-forge/submitit,,,,96.0,96.0,https://pypi.org/project/submitit,2021-02-10 11:17:48.000000,0.0,1824.0,2031.0,https://anaconda.org/conda-forge/submitit,2021-02-10 12:48:57.745000,1455.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n552,datatest,shawnbrown/datatest,,data-loading,https://github.com/shawnbrown/datatest,https://github.com/shawnbrown/datatest,Apache-2.0,2016-05-12 13:16:27.000000,2021-03-01 04:34:10.000000,2021-03-01 04:32:51.000000,12,9.0,42.0,238,2158.0,Tools for test driven data-wrangling and data validation.,6.0,21,True,2021-01-04 03:43:58.000000,0.11.1,17.0,datatest,,,,,32.0,30.0,https://pypi.org/project/datatest,2021-01-04 03:39:40.000000,2.0,1664.0,1664.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n553,quinn,MrPowers/quinn,,ml-experiments,https://github.com/MrPowers/quinn,https://github.com/MrPowers/quinn,Apache-2.0,2017-09-15 13:02:42.000000,2021-02-09 04:48:14.000000,2021-02-09 04:48:07.000000,27,17.0,9.0,215,110.0,pyspark methods to enhance developer productivity.,6.0,21,True,2021-02-06 15:21:04.000000,0.9.0,12.0,quinn,,,,['spark'],6.0,,https://pypi.org/project/quinn,2021-02-06 15:21:04.000000,6.0,75978.0,75978.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n554,py3nvml,fbcotter/py3nvml,,gpu-utilities,https://github.com/fbcotter/py3nvml,https://github.com/fbcotter/py3nvml,BSD-3-Clause,2016-11-21 01:07:37.000000,2020-10-10 10:41:08.987000,2020-04-23 06:54:42.000000,24,2.0,9.0,166,79.0,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,6.0,21,True,2020-04-06 16:02:10.000000,0.2.6,13.0,py3nvml,conda-forge/py3nvml,,,,253.0,233.0,https://pypi.org/project/py3nvml,2020-04-06 16:02:10.000000,20.0,49672.0,50599.0,https://anaconda.org/conda-forge/py3nvml,2020-10-10 10:41:08.987000,12986.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n555,stop-words,Alir3z4/python-stop-words,,nlp,https://github.com/Alir3z4/python-stop-words,https://github.com/Alir3z4/python-stop-words,BSD-3-Clause,2014-05-26 06:44:03.000000,2019-10-16 15:01:43.000000,2018-07-23 21:04:09.000000,21,3.0,9.0,122,90.0,Get list of common stop words in various languages in Python.,8.0,21,False,2018-07-23 20:58:34.000000,2018.7.23,8.0,stop-words,,,,,1372.0,1114.0,https://pypi.org/project/stop-words,2018-07-23 20:55:55.000000,258.0,33492.0,33492.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n556,PyStan,stan-dev/pystan,,probabilistics,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,ISC,2017-03-06 19:56:42.094000,2021-03-02 14:58:32.000000,2021-03-02 14:58:32.000000,12,10.0,92.0,41,,\"PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io.\",5.0,21,False,2013-09-28 22:06:09.000000,0.2.2,57.0,pystan,conda-forge/pystan,,,,342.0,,https://pypi.org/project/pystan,2021-02-10 14:31:04.000000,342.0,510488.0,529150.0,https://anaconda.org/conda-forge/pystan,2020-08-25 22:40:14.631000,895786.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n557,Dejavu,worldveil/dejavu,,audio,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35.000000,2020-10-29 17:40:17.000000,2020-06-03 05:58:03.000000,1250,84.0,129.0,5342,146.0,Audio fingerprinting and recognition in Python.,23.0,20,True,2015-04-19 21:20:16.000000,0.1.3,4.0,PyDejavu,,,,,20.0,17.0,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16.000000,3.0,55.0,55.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n558,Qlib,microsoft/qlib,,financial-data,https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000000,2021-03-04 14:47:51.000000,2021-03-03 06:14:07.000000,694,85.0,68.0,4529,,\"Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research,..\",32.0,20,True,2021-02-02 09:29:47.000000,0.6.2,16.0,pyqlib,,,,['pytorch'],,,https://pypi.org/project/pyqlib,2021-02-02 09:29:47.000000,,1482.0,1519.0,,,,,,,,3.0,225.0,,,,,,,,,,,,,,,,,,,,,\n559,MMF,facebookresearch/mmf,,image,https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40.000000,2021-03-04 10:45:49.000000,2021-03-02 17:55:11.000000,630,113.0,336.0,4180,793.0,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,55.0,20,True,2019-08-26 19:04:21.000000,0.3.1,12.0,mmf,,,,['pytorch'],7.0,7.0,https://pypi.org/project/mmf,2020-06-12 22:15:02.000000,0.0,112.0,112.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n560,MatchZoo,NTMC-Community/MatchZoo,,nlp,https://github.com/NTMC-Community/MatchZoo,https://github.com/NTMC-Community/MatchZoo,Apache-2.0,2017-06-08 08:55:22.000000,2020-06-17 07:27:59.000000,2019-10-24 13:10:07.000000,877,27.0,428.0,3364,1808.0,\"Facilitating the design, comparison and sharing of deep text matching models.\",35.0,20,False,2019-10-24 13:09:11.000000,2.2.0,5.0,matchzoo,,,,['tensorflow'],9.0,9.0,https://pypi.org/project/matchzoo,2019-10-24 13:09:11.000000,,128.0,128.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n561,TTS,mozilla/TTS,,audio,https://github.com/mozilla/TTS,https://github.com/mozilla/TTS,MPL-2.0,2018-01-23 14:22:06.000000,2021-02-22 11:26:54.000000,2021-02-12 10:36:31.000000,667,29.0,443.0,3274,2184.0,Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts).,51.0,20,True,2021-01-29 00:03:56.000000,0.0.9,1.0,,,,,,,,,,,,85.0,,,,,,,,3.0,171.0,,,,,,,,,,,,,,,,,,,,,\n562,DALI,NVIDIA/DALI,,gpu-utilities,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000000,2021-03-04 15:01:28.000000,2021-03-04 09:50:38.000000,375,204.0,623.0,3112,1752.0,A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep..,56.0,20,True,2021-02-25 14:29:29.000000,0.31.0,37.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n563,FATE,FederatedAI/FATE,,privacy-ml,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000000,2021-03-04 09:19:39.000000,2021-02-26 07:14:53.000000,825,272.0,527.0,2804,7018.0,An Industrial Grade Federated Learning Framework.,52.0,20,True,2021-02-10 09:13:39.000000,1.5.1,25.0,,,,,,,,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n564,image-match,EdjoLabs/image-match,,image,https://github.com/EdjoLabs/image-match,https://github.com/EdjoLabs/image-match,Apache-2.0,2016-03-08 18:16:45.000000,2021-01-04 18:36:01.000000,2021-01-04 18:35:59.000000,371,54.0,47.0,2521,404.0,Quickly search over billions of images.,17.0,20,True,2017-02-13 14:54:48.000000,1.1.2,10.0,image_match,,,,,6.0,,https://pypi.org/project/image_match,2017-02-13 14:54:48.000000,6.0,328.0,328.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n565,finmarketpy,cuemacro/finmarketpy,,financial-data,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03.000000,2021-03-01 22:54:43.000000,2021-03-01 22:54:35.000000,431,21.0,3.0,2487,657.0,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,14.0,20,True,2021-01-25 15:04:53.000000,0.11.8,9.0,finmarketpy,,,,,3.0,3.0,https://pypi.org/project/finmarketpy,2021-01-25 15:01:25.000000,,49.0,49.0,,,,,,,,3.0,39.0,,,,,,,,,,,,,,,,,,,,,\n566,StreamAlert,airbnb/streamalert,,others,https://github.com/airbnb/streamalert,https://github.com/airbnb/streamalert,Apache-2.0,2017-01-22 01:10:56.000000,2021-02-10 19:36:07.000000,2021-02-10 05:03:05.000000,285,90.0,247.0,2479,1893.0,\"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data..\",31.0,20,True,2020-10-05 21:50:56.000000,3.4.1,27.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n567,NeMo,NVIDIA/NeMo,,nlp,https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000000,2021-03-04 10:42:44.000000,2021-03-03 22:16:40.000000,421,188.0,286.0,2443,,NeMo: a toolkit for conversational AI.,78.0,20,True,2020-07-10 00:01:18.000000,0.11.0,36.0,nemo-toolkit,,,,['pytorch'],4.0,,https://pypi.org/project/nemo-toolkit,2020-12-11 21:33:53.000000,4.0,1431.0,1604.0,,,,,,,,3.0,3124.0,,,,,,,,,,,,,,,,,,,,,\n568,Luminoth,tryolabs/luminoth,,image,https://github.com/tryolabs/luminoth,https://github.com/tryolabs/luminoth,BSD-3-Clause,2017-02-16 15:07:46.000000,2020-12-24 21:01:24.000000,2020-01-07 20:53:25.000000,402,50.0,127.0,2346,838.0,Deep Learning toolkit for Computer Vision.,15.0,20,False,2018-11-09 21:35:17.000000,0.2.3,10.0,luminoth,,,,['tensorflow'],30.0,28.0,https://pypi.org/project/luminoth,2018-11-09 21:35:17.000000,2.0,365.0,640.0,,,,,,,,3.0,11277.0,,,,,,,,,,,,,,,,,,,,,\n569,Hummingbird,microsoft/hummingbird,,model-serialisation,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000000,2021-03-01 23:21:23.000000,2021-03-01 23:03:25.000000,166,47.0,136.0,2297,,Hummingbird compiles trained ML models into tensor computation for faster inference.,19.0,20,True,2021-01-04 22:16:04.000000,0.2.1,9.0,hummingbird-ml,,,,,14.0,14.0,https://pypi.org/project/hummingbird-ml,2021-01-04 22:14:22.000000,,862.0,871.0,,,,,,,,3.0,95.0,,,,,,,,,,,,,,,,,,,,,\n570,STUMPY,TDAmeritrade/stumpy,,time-series-data,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000000,2021-03-01 03:29:18.000000,2021-03-01 03:28:49.000000,159,26.0,195.0,1707,,\"STUMPY is a powerful and scalable Python library for computing a Matrix Profile, which can be used for a variety of..\",21.0,20,True,2021-02-04 19:05:43.000000,1.8.0,19.0,stumpy,conda-forge/stumpy,,,,0.0,,https://pypi.org/project/stumpy,2021-02-04 19:05:43.000000,0.0,3238.0,4000.0,https://anaconda.org/conda-forge/stumpy,2021-02-05 23:28:08.904000,16775.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n571,AmpliGraph,Accenture/AmpliGraph,,graph,https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05.000000,2020-08-25 17:19:24.000000,2020-08-25 17:00:58.000000,157,21.0,157.0,1436,895.0,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,14.0,20,True,2020-08-25 17:06:46.000000,1.3.2,11.0,ampligraph,,,,['tensorflow'],11.0,11.0,https://pypi.org/project/ampligraph,2020-08-25 16:59:58.000000,,382.0,382.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n572,hiddenlayer,waleedka/hiddenlayer,,ml-experiments,https://github.com/waleedka/hiddenlayer,https://github.com/waleedka/hiddenlayer,MIT,2018-05-18 22:34:51.000000,2020-04-24 07:32:11.000000,2020-04-24 06:58:09.000000,197,44.0,32.0,1396,58.0,\"Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.\",6.0,20,True,2018-12-03 04:33:29.000000,0.2,3.0,hiddenlayer,,,,\"['pytorch', 'tensorflow', 'jupyter']\",67.0,59.0,https://pypi.org/project/hiddenlayer,2020-04-24 07:32:11.000000,8.0,1450.0,1450.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n573,DELTA,Delta-ML/delta,,nlp,https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57.000000,2021-03-03 16:11:57.660159,2020-12-17 06:57:15.000000,280,9.0,69.0,1393,932.0,DELTA is a deep learning based natural language and speech processing platform.,41.0,20,True,2020-07-16 09:31:45.000000,0.3.3,4.0,delta-nlp,,zh794390558/delta,,['tensorflow'],,,https://pypi.org/project/delta-nlp,2020-03-27 04:46:19.000000,,2.0,549.0,,,,https://hub.docker.com/r/zh794390558/delta,2021-03-03 16:11:57.660159,,12049.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n574,reformer-pytorch,lucidrains/reformer-pytorch,,pytorch-utils,https://github.com/lucidrains/reformer-pytorch,https://github.com/lucidrains/reformer-pytorch,MIT,2020-01-09 20:42:37.000000,2021-02-27 02:30:19.000000,2021-02-27 02:29:46.000000,175,4.0,95.0,1388,239.0,\"Reformer, the efficient Transformer, in Pytorch.\",10.0,20,True,2021-02-27 02:29:55.000000,1.2.5,133.0,reformer-pytorch,,,,['pytorch'],,,https://pypi.org/project/reformer-pytorch,2021-02-27 02:30:19.000000,,375.0,375.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n575,TensorFlow Privacy,tensorflow/privacy,,privacy-ml,https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000000,2021-02-23 00:01:28.000000,2021-02-23 00:01:24.000000,269,43.0,76.0,1345,444.0,Library for training machine learning models with privacy for training data.,36.0,20,True,2020-09-03 01:13:47.000000,.0.5.1,9.0,tensorflow-privacy,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow-privacy,2020-09-03 01:10:15.000000,2.0,3738.0,3740.0,,,,,,,,2.0,41.0,,,,,,,,,,,,,,,,,,,,,\n576,ThunderSVM,Xtra-Computing/thundersvm,,ml-frameworks,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04.000000,2021-02-10 05:12:44.000000,2021-02-10 05:12:44.000000,169,44.0,144.0,1274,902.0,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,33.0,20,True,2020-03-13 12:36:30.000000,0.3.12,9.0,thundersvm,,,,,,,https://pypi.org/project/thundersvm,2020-03-13 12:36:30.000000,,237.0,278.0,,,,,,,,3.0,2150.0,,,,,,,,,,,,,,,,,,,,,\n577,EfficientNets,rwightman/gen-efficientnet-pytorch,,pytorch-utils,https://github.com/rwightman/gen-efficientnet-pytorch,https://github.com/rwightman/gen-efficientnet-pytorch,Apache-2.0,2019-05-11 19:35:56.000000,2020-11-30 05:51:08.000000,2020-11-30 05:49:27.000000,168,,48.0,1260,106.0,\"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.\",5.0,20,True,2020-08-20 19:55:21.000000,1.0.0,9.0,geffnet,,,,['pytorch'],36.0,36.0,https://pypi.org/project/geffnet,2020-08-20 19:55:21.000000,0.0,1569.0,1569.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n578,DLTK,DLTK/DLTK,,medical-data,https://github.com/DLTK/DLTK,https://github.com/DLTK/DLTK,Apache-2.0,2017-05-02 15:40:36.000000,2021-01-15 01:31:30.000000,2019-01-21 14:01:28.000000,384,11.0,24.0,1242,379.0,Deep Learning Toolkit for Medical Image Analysis.,9.0,20,False,2018-02-26 17:43:57.000000,0.2.1,5.0,dltk,,,,['tensorflow'],18.0,18.0,https://pypi.org/project/dltk,2018-02-26 17:43:57.000000,,100.0,100.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n579,MLBox,AxeldeRomblay/MLBox,,hyperopt,https://github.com/AxeldeRomblay/MLBox,https://github.com/AxeldeRomblay/MLBox,BSD-1-Clause,2017-06-01 16:59:24.000000,2020-11-24 17:57:08.000000,2020-08-25 09:26:27.000000,246,10.0,72.0,1195,1121.0,MLBox is a powerful Automated Machine Learning python library.,9.0,20,False,2020-08-25 09:32:37.000000,0.8.5,21.0,mlbox,,,,,20.0,20.0,https://pypi.org/project/mlbox,2020-08-25 09:32:37.000000,,831.0,831.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n580,tensorrec,jfkirk/tensorrec,,recommender-systems,https://github.com/jfkirk/tensorrec,https://github.com/jfkirk/tensorrec,Apache-2.0,2017-02-28 18:51:11.000000,2020-07-30 02:47:12.000000,2020-02-04 21:10:25.000000,207,33.0,90.0,1124,334.0,A TensorFlow recommendation algorithm and framework in Python.,8.0,20,False,2019-04-02 00:53:47.000000,0.26.2,30.0,tensorrec,,,,['tensorflow'],27.0,24.0,https://pypi.org/project/tensorrec,2019-04-02 00:53:47.000000,3.0,739.0,739.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n581,Torch Points 3D,nicolas-chaulet/torch-points3d,,image,https://github.com/nicolas-chaulet/torch-points3d,https://github.com/nicolas-chaulet/torch-points3d,BSD-3-Clause,2019-12-06 11:33:34.000000,2021-02-24 16:59:01.000000,2021-02-24 16:58:54.000000,157,41.0,162.0,1096,1589.0,Pytorch framework for doing deep learning on point clouds.,20.0,20,True,2020-12-18 10:34:16.000000,1.2.0,13.0,torch-points3d,,,,['pytorch'],2.0,2.0,https://pypi.org/project/torch-points3d,2020-12-18 10:34:16.000000,,214.0,214.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n582,Higher,facebookresearch/higher,,pytorch-utils,https://github.com/facebookresearch/higher,https://github.com/facebookresearch/higher,Apache-2.0,2019-09-06 18:58:36.000000,2021-03-02 09:56:03.000000,2021-03-02 09:56:03.000000,78,27.0,48.0,1063,29.0,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,7.0,20,True,2020-07-14 12:20:32.000000,0.2.1,2.0,higher,,,,['pytorch'],37.0,37.0,https://pypi.org/project/higher,2020-07-14 12:20:32.000000,0.0,8778.0,8778.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n583,Sockeye,awslabs/sockeye,,nlp,https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30.000000,2021-03-03 15:34:34.000000,2021-02-05 10:25:14.000000,294,20.0,222.0,987,736.0,Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet.,52.0,20,True,2021-02-08 10:02:02.000000,2.3.10,62.0,sockeye,,,,['mxnet'],2.0,,https://pypi.org/project/sockeye,2021-02-08 10:02:02.000000,2.0,366.0,366.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n584,Haiku,deepmind/dm-haiku,,ml-frameworks,https://github.com/deepmind/dm-haiku,https://github.com/deepmind/dm-haiku,Apache-2.0,2020-02-18 07:14:02.000000,2021-03-04 09:55:47.000000,2021-03-04 09:55:02.000000,69,20.0,52.0,984,493.0,JAX-based neural network library.,37.0,20,True,2020-11-24 11:25:05.000000,0.0.3,5.0,,,,,,66.0,66.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n585,TensorNets,taehoonlee/tensornets,,tensorflow-utils,https://github.com/taehoonlee/tensornets,https://github.com/taehoonlee/tensornets,MIT,2017-09-19 05:19:01.000000,2021-01-02 06:28:10.000000,2021-01-02 06:26:24.000000,187,14.0,42.0,982,284.0,High level network definitions with pre-trained weights in TensorFlow.,6.0,20,True,2020-03-31 04:38:27.000000,0.4.6,12.0,tensornets,,,,['tensorflow'],35.0,31.0,https://pypi.org/project/tensornets,2020-03-31 04:35:15.000000,4.0,151.0,151.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n586,fastFM,ibayer/fastFM,,recommender-systems,https://github.com/ibayer/fastFM,https://github.com/ibayer/fastFM,BSD-3-Clause,2014-10-27 12:25:51.000000,2020-03-05 14:57:53.000000,2020-03-05 14:57:52.000000,187,44.0,59.0,902,291.0,fastFM: A Library for Factorization Machines.,19.0,20,True,2017-11-23 06:59:56.000000,0.2.11,10.0,fastfm,,,,,84.0,76.0,https://pypi.org/project/fastfm,2017-11-23 06:59:56.000000,8.0,230.0,235.0,,,,,,,,3.0,379.0,,,,,,,,,,,,,,,,,,,,,\n587,pyts,johannfaouzi/pyts,,time-series-data,https://github.com/johannfaouzi/pyts,https://github.com/johannfaouzi/pyts,BSD-3-Clause,2017-07-31 09:23:16.000000,2020-09-12 14:41:49.000000,2020-04-30 12:28:12.000000,93,24.0,19.0,881,360.0,A Python package for time series classification.,7.0,20,True,2020-03-21 12:41:33.000000,0.11.0,17.0,pyts,conda-forge/pyts,,,,90.0,86.0,https://pypi.org/project/pyts,2020-03-21 12:36:40.000000,4.0,3109.0,3441.0,https://anaconda.org/conda-forge/pyts,2020-03-21 14:08:24.734000,6317.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n588,TabNet,dreamquark-ai/tabnet,,pytorch-utils,https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000000,2021-03-02 12:37:32.000000,2021-03-01 11:50:35.000000,168,36.0,104.0,839,168.0,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,18.0,20,True,2021-02-02 08:05:11.000000,3.1.1,17.0,pytorch-tabnet,,,,['pytorch'],0.0,,https://pypi.org/project/pytorch-tabnet,2021-02-02 08:05:11.000000,0.0,5433.0,5433.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n589,mrq,pricingassistant/mrq,,data-pipelines,https://github.com/pricingassistant/mrq,https://github.com/pricingassistant/mrq,MIT,2014-02-13 09:32:40.000000,2021-03-03 21:58:19.000000,2020-12-13 18:58:15.000000,113,59.0,119.0,837,709.0,Mr. Queue - A distributed worker task queue in Python using Redis & gevent.,37.0,20,True,2018-08-31 16:03:04.000000,0.9.10,70.0,mrq,,,,,35.0,23.0,https://pypi.org/project/mrq,2018-08-31 16:03:04.000000,12.0,226.0,226.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n590,TFEncrypted,tf-encrypted/tf-encrypted,,privacy-ml,https://github.com/tf-encrypted/tf-encrypted,https://github.com/tf-encrypted/tf-encrypted,Apache-2.0,2018-03-21 18:22:13.000000,2020-11-19 15:48:03.000000,2020-08-19 16:56:56.000000,136,166.0,231.0,827,595.0,A Framework for Encrypted Machine Learning in TensorFlow.,28.0,20,True,2019-09-27 20:00:01.000000,0.5.9,35.0,tf-encrypted,,,,['tensorflow'],62.0,46.0,https://pypi.org/project/tf-encrypted,2019-10-21 18:05:53.000000,16.0,263.0,263.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n591,nude.py,hhatto/nude.py,,image,https://github.com/hhatto/nude.py,https://github.com/hhatto/nude.py,MIT,2013-06-09 06:55:55.000000,2020-11-23 13:49:32.000000,2020-11-23 13:49:02.000000,128,6.0,2.0,793,79.0,Nudity detection with Python.,12.0,20,True,2020-11-23 13:49:17.000000,0.5.1,10.0,nudepy,,,,,107.0,89.0,https://pypi.org/project/nudepy,2020-11-23 13:49:17.000000,18.0,2779.0,2779.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n592,DALEX,ModelOriented/DALEX,,interpretability,https://github.com/ModelOriented/DALEX,https://github.com/ModelOriented/DALEX,GPL-3.0,2018-02-18 03:24:12.000000,2021-03-02 16:58:27.000000,2021-03-02 16:58:23.000000,110,11.0,252.0,783,536.0,moDel Agnostic Language for Exploration and eXplanation.,17.0,20,False,2021-02-19 15:24:01.000000,1.0.1,19.0,dalex,,,,,10.0,10.0,https://pypi.org/project/dalex,2021-02-19 15:24:01.000000,,1427.0,1427.0,,,,,,,,3.0,,,2.0,,,,,,,,,,,,,,,,,,,\n593,RecBole,RUCAIBox/RecBole,,recommender-systems,https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000000,2021-03-04 08:48:48.000000,2021-02-26 06:31:09.000000,108,24.0,67.0,763,2667.0,\"A unified, comprehensive and efficient recommendation library.\",27.0,20,True,2021-01-14 05:21:22.000000,0.2.0,4.0,recbole,aibox/recbole,,,['pytorch'],,,https://pypi.org/project/recbole,2021-01-14 05:21:22.000000,,199.0,253.0,https://anaconda.org/aibox/recbole,2021-01-14 06:11:03.469000,216.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n594,rows,turicas/rows,,data-loading,https://github.com/turicas/rows,https://github.com/turicas/rows,LGPL-3.0,2014-05-07 05:43:11.000000,2021-02-13 02:25:34.000000,2021-02-13 02:25:13.000000,131,138.0,149.0,738,738.0,\"A common, beautiful interface to tabular data, no matter the format.\",30.0,20,False,2019-02-14 21:20:15.000000,0.4.1,9.0,rows,,,,,169.0,117.0,https://pypi.org/project/rows,2019-02-14 21:12:03.000000,52.0,556.0,556.0,,,,,,,,3.0,37.0,,,,,,,,,,,,,,,,,,,,,\n595,AstroML,astroML/astroML,,others,https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50.000000,2021-03-03 01:10:53.000000,2021-03-03 01:10:18.000000,249,48.0,81.0,731,,\"Machine learning, statistics, and data mining for astronomy and astrophysics.\",30.0,20,True,2019-10-02 06:32:58.000000,0.4.1,10.0,astroML,conda-forge/astroml,,,['sklearn'],29.0,,https://pypi.org/project/astroML,2020-03-23 23:20:49.000000,29.0,709.0,1220.0,https://anaconda.org/conda-forge/astroml,2020-02-16 04:18:54.678000,21981.0,,,,,3.0,,,-2.0,,,,,,,,,,,,,,,,,,,\n596,Madmom,CPJKU/madmom,,audio,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06.000000,2020-04-14 03:42:18.000000,2019-12-19 14:46:37.000000,122,54.0,178.0,727,1722.0,Python audio and music signal processing library.,19.0,20,False,2018-11-14 14:57:41.000000,0.16.1,11.0,madmom,,,,,152.0,118.0,https://pypi.org/project/madmom,2018-11-14 14:56:22.000000,34.0,1005.0,1005.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n597,YouTokenToMe,vkcom/youtokentome,,nlp,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28.000000,2021-01-28 23:05:01.000000,2021-01-28 19:04:09.000000,44,20.0,22.0,722,79.0,Unsupervised text tokenizer focused on computational efficiency.,6.0,20,True,2020-02-13 09:57:47.000000,1.0.6,14.0,youtokentome,,,,,110.0,98.0,https://pypi.org/project/youtokentome,2020-02-12 18:24:46.000000,12.0,3799.0,3799.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n598,mlens,flennerhag/mlens,,others,https://github.com/flennerhag/mlens,https://github.com/flennerhag/mlens,MIT,2017-01-10 20:53:47.000000,2020-02-25 14:32:48.000000,2020-02-25 14:31:53.000000,84,8.0,73.0,677,879.0,ML-Ensemble high performance ensemble learning.,7.0,20,False,2018-10-30 22:34:35.000000,0.2.3,14.0,mlens,,,,,114.0,111.0,https://pypi.org/project/mlens,2018-10-30 22:30:43.000000,3.0,1160.0,1160.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n599,NeuPy,itdxer/neupy,,ml-frameworks,https://github.com/itdxer/neupy,https://github.com/itdxer/neupy,MIT,2015-08-24 19:45:11.000000,2020-01-15 08:04:33.000000,2019-09-02 19:02:38.000000,148,27.0,229.0,667,1145.0,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,6.0,20,False,2019-04-04 19:44:59.000000,0.8.2,34.0,neupy,,,,,112.0,101.0,https://pypi.org/project/neupy,2019-04-04 19:43:06.000000,11.0,765.0,765.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n600,finetune,IndicoDataSolutions/finetune,,nlp,https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16.000000,2021-03-03 02:28:12.000000,2021-02-19 22:42:31.000000,66,19.0,115.0,633,1201.0,Scikit-learn style model finetuning for NLP.,19.0,20,True,2020-01-10 22:42:24.000000,0.8.6,37.0,finetune,,,,\"['tensorflow', 'sklearn']\",11.0,9.0,https://pypi.org/project/finetune,2020-01-10 22:42:24.000000,2.0,199.0,199.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n601,TensorBoard Logger,TeamHG-Memex/tensorboard_logger,,ml-experiments,https://github.com/TeamHG-Memex/tensorboard_logger,https://github.com/TeamHG-Memex/tensorboard_logger,MIT,2016-10-27 14:02:25.000000,2020-10-27 20:51:06.000000,2019-10-21 07:52:07.000000,52,9.0,15.0,610,46.0,Log TensorBoard events without touching TensorFlow.,5.0,20,False,2018-02-08 07:28:51.000000,0.1.0,5.0,tensorboard_logger,,,,,96.0,,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51.000000,96.0,43381.0,43381.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n602,pdpipe,pdpipe/pdpipe,,data-pipelines,https://github.com/pdpipe/pdpipe,https://github.com/pdpipe/pdpipe,MIT,2017-01-24 20:37:22.000000,2021-02-23 19:36:13.000000,2021-02-23 18:30:54.000000,29,6.0,15.0,584,342.0,Easy pipelines for pandas DataFrames.,8.0,20,True,2021-02-23 19:40:09.000000,0.0.51,49.0,pdpipe,,,,['pandas'],26.0,26.0,https://pypi.org/project/pdpipe,2020-11-09 09:32:37.000000,,783.0,783.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n603,Torchbearer,pytorchbearer/torchbearer,,ml-frameworks,https://github.com/pytorchbearer/torchbearer,https://github.com/pytorchbearer/torchbearer,MIT,2018-03-12 16:30:42.000000,2021-02-28 13:53:07.000000,2021-02-28 13:53:07.000000,62,8.0,237.0,583,429.0,torchbearer: A model fitting library for PyTorch.,13.0,20,True,2020-01-31 14:07:22.000000,0.5.3,24.0,torchbearer,,,,['pytorch'],44.0,38.0,https://pypi.org/project/torchbearer,2020-01-31 14:05:56.000000,6.0,391.0,391.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n604,alibi-detect,SeldonIO/alibi-detect,,others,https://github.com/SeldonIO/alibi-detect,https://github.com/SeldonIO/alibi-detect,Apache-2.0,2019-10-07 13:29:13.000000,2021-03-02 10:44:58.000000,2021-03-02 10:44:58.000000,58,35.0,50.0,580,322.0,\"Algorithms for outlier and adversarial instance detection, concept drift and metrics.\",7.0,20,True,2021-02-18 15:12:29.000000,0.5.0,10.0,alibi-detect,,,,,20.0,19.0,https://pypi.org/project/alibi-detect,2021-02-18 15:10:09.000000,1.0,715.0,715.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n605,baikal,alegonz/baikal,,others,https://github.com/alegonz/baikal,https://github.com/alegonz/baikal,BSD-3-Clause,2019-01-21 12:59:02.000000,2021-01-31 09:13:47.685000,2021-01-30 09:29:45.000000,28,4.0,12.0,572,400.0,A graph-based functional API for building complex scikit-learn pipelines.,2.0,20,True,2020-11-15 13:40:18.000000,0.4.2,7.0,baikal,conda-forge/cython-blis,,,,3.0,3.0,https://pypi.org/project/baikal,2020-11-15 13:40:18.000000,,46.0,17460.0,https://anaconda.org/conda-forge/cython-blis,2021-01-31 09:13:47.685000,417945.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n606,bambi,bambinos/bambi,,probabilistics,https://github.com/bambinos/bambi,https://github.com/bambinos/bambi,MIT,2016-05-16 03:21:00.000000,2021-03-04 14:03:26.000000,2021-02-28 01:39:19.000000,49,26.0,132.0,544,531.0,BAyesian Model-Building Interface (Bambi) in Python.,15.0,20,True,2020-12-17 01:23:21.000000,0.3.0,10.0,bambi,,,,,13.0,10.0,https://pypi.org/project/bambi,2020-12-17 01:23:21.000000,3.0,194.0,194.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n607,lets-plot,JetBrains/lets-plot,,data-viz,https://github.com/JetBrains/lets-plot,https://github.com/JetBrains/lets-plot,MIT,2019-03-20 16:13:03.000000,2021-03-04 14:29:53.000000,2021-03-03 23:38:00.000000,15,64.0,82.0,512,1860.0,An open-source plotting library for statistical data.,15.0,20,True,2021-02-09 19:58:21.000000,2.0.0,28.0,lets-plot,,,,,7.0,7.0,https://pypi.org/project/lets-plot,2021-02-09 19:50:17.000000,,2349.0,2349.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n608,Caer,jasmcaus/caer,,image,https://github.com/jasmcaus/caer,https://github.com/jasmcaus/caer,MIT,2020-08-06 18:36:14.000000,2021-02-28 15:12:49.000000,2021-02-28 15:13:59.000000,62,5.0,8.0,444,4873.0,\"A lightweight Computer Vision library. Scale your models, not boilerplate.\",4.0,20,True,2021-01-28 14:06:10.000000,1.9.8,109.0,caer,,,https://caer.rtfd.io,,0.0,,https://pypi.org/project/caer,2021-01-28 14:06:10.000000,0.0,2026.0,2028.0,,,,,,,,3.0,14.0,,-3.0,,,,,,,,,,,,,,,,,,,\n609,scikit-lego,koaning/scikit-lego,,sklearn-utils,https://github.com/koaning/scikit-lego,https://github.com/koaning/scikit-lego,MIT,2019-01-21 15:30:15.000000,2021-03-04 10:24:49.000000,2021-03-03 19:12:23.000000,67,23.0,184.0,433,,Extra blocks for scikit-learn pipelines.,39.0,20,True,2021-01-04 09:19:31.000000,0.6.3,29.0,scikit-lego,conda-forge/scikit-lego,,,['sklearn'],17.0,17.0,https://pypi.org/project/scikit-lego,2021-01-04 09:19:31.000000,0.0,1043.0,1551.0,https://anaconda.org/conda-forge/scikit-lego,2020-11-02 09:40:04.581000,8637.0,,,,,3.0,,,-2.0,,,,,,,,,,,,,,,,,,,\n610,Labml,lab-ml/labml,,ml-experiments,https://github.com/lab-ml/labml,https://github.com/lab-ml/labml,MIT,2018-11-16 09:34:48.000000,2021-03-04 06:06:06.000000,2021-03-04 06:05:59.000000,40,,6.0,432,924.0,Monitor PyTorch & TensorFlow model training from your mobile phone.,6.0,20,True,2021-02-16 10:22:36.000000,0.4.103,82.0,labml,,,,,21.0,21.0,https://pypi.org/project/labml,2021-03-03 05:24:12.000000,0.0,444.0,444.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n611,lazypredict,shankarpandala/lazypredict,,hyperopt,https://github.com/shankarpandala/lazypredict,https://github.com/shankarpandala/lazypredict,MIT,2019-11-16 09:56:35.000000,2021-02-25 21:45:50.000000,2021-02-25 21:45:50.000000,88,14.0,29.0,395,195.0,Lazy Predict help build a lot of basic models without much code and helps understand which models works better without..,12.0,20,True,2021-02-17 15:38:45.000000,0.2.9,11.0,lazypredict,,,,['sklearn'],33.0,33.0,https://pypi.org/project/lazypredict,2021-02-17 15:38:45.000000,,889.0,889.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n612,optunity,claesenm/optunity,,hyperopt,https://github.com/claesenm/optunity,https://github.com/claesenm/optunity,BSD-3-Clause,2014-05-28 17:29:11.000000,2020-05-11 14:32:39.000000,2020-05-11 14:32:38.000000,74,46.0,48.0,363,782.0,optimization routines for hyperparameter tuning.,9.0,20,True,2015-09-30 05:02:00.000000,1.1.1,6.0,optunity,,,,,82.0,58.0,https://pypi.org/project/optunity,2015-09-30 05:02:00.000000,24.0,6606.0,6606.0,,,,,,,,3.0,62.0,,,,,,,,,,,,,,,,,,,,,\n613,skope-rules,scikit-learn-contrib/skope-rules,,sklearn-utils,https://github.com/scikit-learn-contrib/skope-rules,https://github.com/scikit-learn-contrib/skope-rules,BSD-1-Clause,2018-02-18 13:42:47.000000,2020-12-11 14:42:41.000000,2020-10-23 14:31:57.000000,59,23.0,4.0,360,247.0,machine learning with logical rules in Python.,18.0,20,False,2020-12-11 09:37:02.000000,1.0.1,4.0,skope-rules,,,,['sklearn'],31.0,25.0,https://pypi.org/project/skope-rules,2020-01-25 12:01:37.000000,6.0,12247.0,12247.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n614,BioPandas,rasbt/biopandas,,others,https://github.com/rasbt/biopandas,https://github.com/rasbt/biopandas,BSD-3-Clause,2015-11-21 00:00:14.000000,2021-03-03 00:55:13.000000,2021-03-03 00:51:30.000000,76,16.0,18.0,328,,Working with molecular structures in pandas DataFrames.,7.0,20,True,2021-03-03 00:55:13.000000,0.2.8,12.0,biopandas,conda-forge/biopandas,,,['pandas'],58.0,52.0,https://pypi.org/project/biopandas,2021-03-03 00:55:13.000000,6.0,195.0,1528.0,https://anaconda.org/conda-forge/biopandas,2020-08-08 06:33:59.197000,67994.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n615,joypy,sbebo/joypy,,data-viz,https://github.com/sbebo/joypy,https://github.com/sbebo/joypy,MIT,2017-07-30 17:18:50.000000,2020-12-28 14:07:53.760000,2020-12-28 11:56:12.000000,32,4.0,34.0,321,108.0,Joyplots in Python with matplotlib & pandas.,5.0,20,True,2020-12-28 11:54:36.000000,0.2.4,16.0,joypy,conda-forge/joypy,,,,73.0,67.0,https://pypi.org/project/joypy,2020-12-28 11:54:36.000000,6.0,2110.0,2456.0,https://anaconda.org/conda-forge/joypy,2020-12-28 14:07:53.760000,8312.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n616,MedPy,loli/medpy,,medical-data,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34.000000,2020-05-01 15:25:39.000000,2020-05-01 15:25:38.000000,106,9.0,66.0,317,324.0,Medical image processing in Python.,13.0,20,False,2019-02-14 17:12:59.000000,0.4.0,6.0,MedPy,,,,,256.0,226.0,https://pypi.org/project/MedPy,2019-02-14 17:12:59.000000,30.0,2762.0,2762.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n617,DESlib,scikit-learn-contrib/DESlib,,sklearn-utils,https://github.com/scikit-learn-contrib/DESlib,https://github.com/scikit-learn-contrib/DESlib,BSD-3-Clause,2017-12-08 22:49:49.000000,2021-02-09 20:14:24.000000,2021-02-09 20:14:21.000000,73,14.0,123.0,313,263.0,A Python library for dynamic classifier and ensemble selection.,12.0,20,True,2021-02-08 06:29:25.000000,0.3.5,4.0,deslib,,,,['sklearn'],15.0,15.0,https://pypi.org/project/deslib,2021-02-08 06:29:25.000000,0.0,172.0,172.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n618,scikit-rebate,EpistasisLab/scikit-rebate,,others,https://github.com/EpistasisLab/scikit-rebate,https://github.com/EpistasisLab/scikit-rebate,MIT,2016-09-19 13:36:17.000000,2021-02-15 17:41:57.000000,2021-02-15 17:10:59.000000,58,13.0,18.0,310,283.0,\"A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for..\",13.0,20,True,2017-04-12 16:12:01.000000,0.3.4,12.0,skrebate,,,,['sklearn'],182.0,120.0,https://pypi.org/project/skrebate,2021-02-15 17:25:49.000000,62.0,848.0,848.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n619,rrcf,kLabUM/rrcf,,others,https://github.com/kLabUM/rrcf,https://github.com/kLabUM/rrcf,MIT,2018-10-20 05:39:05.000000,2021-01-13 23:05:23.000000,2020-06-10 01:07:39.000000,68,18.0,17.0,286,253.0,Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams.,4.0,20,True,2020-06-10 01:53:55.000000,0.4.3,7.0,rrcf,,,,,18.0,18.0,https://pypi.org/project/rrcf,2020-06-10 01:53:55.000000,0.0,2112.0,2112.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n620,impyute,eltonlaw/impyute,,others,https://github.com/eltonlaw/impyute,https://github.com/eltonlaw/impyute,MIT,2017-01-21 09:16:27.000000,2020-06-12 21:08:40.000000,2019-10-05 20:39:08.000000,40,26.0,36.0,271,289.0,Data imputations library to preprocess datasets with missing data.,9.0,20,False,2019-04-29 02:31:32.000000,0.0.8,8.0,impyute,,,,,85.0,81.0,https://pypi.org/project/impyute,2019-04-29 02:31:32.000000,4.0,1557.0,1557.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n621,EarthPy,earthlab/earthpy,,geospatial-data,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000000,2021-03-03 16:56:28.000000,2021-02-20 00:50:32.000000,102,16.0,200.0,231,,A package built to support working with spatial data using open source python.,39.0,20,True,2020-06-18 23:58:08.000000,0.9.2,22.0,earthpy,conda-forge/earthpy,,,,83.0,77.0,https://pypi.org/project/earthpy,2020-06-18 23:58:08.000000,6.0,1467.0,2703.0,https://anaconda.org/conda-forge/earthpy,2020-06-19 15:23:44.425000,28445.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n622,StaticFrame,InvestmentSystems/static-frame,,data-containers,https://github.com/InvestmentSystems/static-frame,https://github.com/InvestmentSystems/static-frame,MIT,2018-01-03 15:07:52.000000,2021-03-01 18:10:25.000000,2021-02-28 20:07:30.000000,20,26.0,259.0,214,2397.0,Immutable and grow-only Pandas-like DataFrames with a more explicit and consistent interface.,15.0,20,True,2021-02-28 20:23:28.000000,0.8.2,101.0,static-frame,conda-forge/static-frame,,,,6.0,6.0,https://pypi.org/project/static-frame,2021-02-28 20:22:09.000000,0.0,696.0,3393.0,https://anaconda.org/conda-forge/static-frame,2021-02-28 23:08:47.808000,67440.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n623,Auto ViML,AutoViML/Auto_ViML,,hyperopt,https://github.com/AutoViML/Auto_ViML,https://github.com/AutoViML/Auto_ViML,Apache-2.0,2019-06-10 13:09:15.000000,2021-01-15 14:52:54.000000,2021-01-15 14:48:07.000000,53,3.0,13.0,212,284.0,Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome...,6.0,20,True,2021-01-15 14:52:54.000000,0.1.677,126.0,autoviml,,,,,13.0,13.0,https://pypi.org/project/autoviml,2021-01-15 14:52:54.000000,,255.0,255.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n624,fletcher,xhochy/fletcher,,data-containers,https://github.com/xhochy/fletcher,https://github.com/xhochy/fletcher,MIT,2018-03-04 16:44:22.000000,2021-02-18 14:46:18.000000,2021-02-18 14:46:18.000000,32,33.0,40.0,207,520.0,Pandas ExtensionDType/Array backed by Apache Arrow.,24.0,20,True,2021-01-17 20:11:01.000000,0.7.2,16.0,fletcher,conda-forge/fletcher,,,['pandas'],3.0,3.0,https://pypi.org/project/fletcher,2021-01-17 20:11:01.000000,0.0,203.0,829.0,https://anaconda.org/conda-forge/fletcher,2021-01-17 21:23:17.140000,20050.0,,,,,3.0,12.0,,,,,,,,,,,,,,,,,,,,,\n625,ploomber,ploomber/ploomber,,data-pipelines,https://github.com/ploomber/ploomber,https://github.com/ploomber/ploomber,Apache-2.0,2020-01-20 20:13:06.000000,2021-03-03 22:08:09.000000,2021-02-27 22:22:56.000000,2,48.0,239.0,200,1643.0,\"A convention over configuration workflow orchestrator. Develop locally (Jupyter or your favorite editor), deploy to..\",4.0,20,True,2021-02-15 14:12:10.000000,0.9.4,37.0,ploomber,,,,,13.0,13.0,https://pypi.org/project/ploomber,2021-02-15 14:12:10.000000,0.0,1406.0,1406.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n626,scikit-posthocs,maximtrp/scikit-posthocs,,probabilistics,https://github.com/maximtrp/scikit-posthocs,https://github.com/maximtrp/scikit-posthocs,MIT,2017-06-22 19:41:37.000000,2021-02-18 18:51:52.000000,2021-02-18 18:51:36.000000,20,3.0,34.0,181,445.0,Multiple Pairwise Comparisons (Post Hoc) Tests in Python.,8.0,20,True,2020-10-12 19:15:07.000000,0.6.6,20.0,scikit-posthocs,,,,['sklearn'],6.0,,https://pypi.org/project/scikit-posthocs,2020-10-12 19:06:51.000000,6.0,10801.0,10801.0,,,,,,,,3.0,19.0,,,,,,,,,,,,,,,,,,,,,\n627,MindsDB,mindsdb/mindsdb,,ml-frameworks,https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,GPL-3.0,2018-08-02 17:56:45.000000,2021-03-04 08:57:55.000000,2021-03-01 18:46:36.000000,427,23.0,503.0,3567,,Predictive AI layer for existing databases.,56.0,19,False,2021-02-24 14:31:35.000000,2.22.0,42.0,mindsdb,,,,['pytorch'],6.0,,https://pypi.org/project/mindsdb,2019-03-19 05:07:23.000000,6.0,831.0,831.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n628,TRFL,deepmind/trfl,,reinforcement-learning,https://github.com/deepmind/trfl,https://github.com/deepmind/trfl,Apache-2.0,2018-08-08 14:44:11.000000,2020-11-06 04:44:44.000000,2020-04-20 13:05:56.000000,372,6.0,16.0,3063,116.0,TensorFlow Reinforcement Learning.,12.0,19,True,2020-04-20 14:11:57.000000,1.1.0,4.0,trfl,,,,['tensorflow'],40.0,38.0,https://pypi.org/project/trfl,2020-04-20 14:11:57.000000,2.0,538.0,538.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n629,AdaBound,Luolc/AdaBound,,pytorch-utils,https://github.com/Luolc/AdaBound,https://github.com/Luolc/AdaBound,Apache-2.0,2019-02-15 18:05:20.000000,2019-03-06 17:01:52.000000,2019-03-06 17:01:45.000000,323,16.0,7.0,2830,27.0,An optimizer that trains as fast as Adam and as good as SGD.,2.0,19,False,2019-03-06 16:44:42.000000,0.0.5,4.0,adabound,,,,['pytorch'],115.0,103.0,https://pypi.org/project/adabound,2019-02-26 04:23:45.000000,12.0,607.0,607.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n630,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,,graph,https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16.000000,2021-02-19 01:29:28.000000,2021-01-19 22:30:34.000000,361,33.0,100.0,2696,142.0,Generate embeddings from large-scale graph-structured data.,19.0,19,True,2019-10-14 16:45:11.000000,1.0.0,3.0,torchbiggraph,,,,['pytorch'],4.0,,https://pypi.org/project/torchbiggraph,2019-05-01 21:31:13.000000,4.0,167.0,171.0,,,,,,,,3.0,112.0,,,,,,,,,,,,,,,,,,,,,\n631,dpark,douban/dpark,,data-pipelines,https://github.com/douban/dpark,https://github.com/douban/dpark,BSD-3-Clause,2012-04-11 08:35:06.000000,2020-12-25 10:36:06.000000,2020-12-25 10:36:05.000000,554,,60.0,2649,1467.0,\"Python clone of Spark, a MapReduce alike framework in Python.\",35.0,19,True,2018-07-27 04:11:36.000000,0.5.0,19.0,dpark,,,,['spark'],4.0,3.0,https://pypi.org/project/dpark,2018-07-27 04:11:36.000000,1.0,19.0,19.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n632,tf-quant-finance,google/tf-quant-finance,,financial-data,https://github.com/google/tf-quant-finance,https://github.com/google/tf-quant-finance,Apache-2.0,2019-07-24 16:09:50.000000,2021-03-03 16:45:58.000000,2021-03-03 16:45:50.000000,318,12.0,11.0,2494,653.0,High-performance TensorFlow library for quantitative finance.,30.0,19,True,,,21.0,tf-quant-finance,,,,['tensorflow'],4.0,4.0,https://pypi.org/project/tf-quant-finance,2021-02-01 16:10:08.000000,0.0,114.0,114.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n633,DeepWalk,phanein/deepwalk,,graph,https://github.com/phanein/deepwalk,https://github.com/phanein/deepwalk,GPL-3.0,2014-08-23 03:38:20.000000,2020-04-02 01:05:36.000000,2020-04-02 01:05:35.000000,755,29.0,78.0,2192,46.0,DeepWalk - Deep Learning for Graphs.,10.0,19,False,2018-04-29 21:05:18.000000,1.0.3,4.0,deepwalk,,,,,43.0,36.0,https://pypi.org/project/deepwalk,2018-04-29 21:05:18.000000,7.0,968.0,968.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n634,Apache Singa,apache/singa,,distributed-ml,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000000,2021-01-29 11:48:23.000000,2021-01-15 13:09:22.000000,607,40.0,35.0,2174,2265.0,a distributed deep learning platform.,70.0,19,True,2020-04-21 08:01:08.000000,3.0.0,14.0,,nusdbsystem/singa,apache/singa,,,1.0,1.0,,,,,7.0,https://anaconda.org/nusdbsystem/singa,2021-01-20 03:00:28.355000,260.0,https://hub.docker.com/r/apache/singa,2019-06-04 04:32:52.195956,2.0,165.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n635,Texthero,jbesomi/texthero,,nlp,https://github.com/jbesomi/texthero,https://github.com/jbesomi/texthero,MIT,2020-04-06 15:16:05.000000,2020-12-09 16:49:27.000000,2020-11-03 07:58:36.000000,183,73.0,47.0,2103,267.0,\"Text preprocessing, representation and visualization from zero to hero.\",18.0,19,True,2020-07-06 20:32:28.000000,1.0.9,9.0,texthero,,,,,0.0,,https://pypi.org/project/texthero,2020-07-06 20:29:25.000000,0.0,1464.0,1469.0,,,,,,,,3.0,62.0,,,,,,,,,,,,,,,,,,,,,\n636,HiPlot,facebookresearch/hiplot,,data-viz,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41.000000,2021-02-10 16:12:37.041000,2021-02-10 11:52:12.000000,91,10.0,48.0,2025,121.0,HiPlot makes understanding high dimensional data easy.,6.0,19,True,2021-02-10 13:54:47.000000,0.1.23,42.0,hiplot,conda-forge/hiplot,,,,2.0,2.0,https://pypi.org/project/hiplot,2021-02-10 13:54:47.000000,0.0,2088.0,5760.0,https://anaconda.org/conda-forge/hiplot,2021-02-10 16:12:37.041000,47745.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n637,cuML,rapidsai/cuml,,gpu-utilities,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000000,2021-03-04 08:01:41.000000,2021-03-04 08:01:35.000000,313,629.0,997.0,1969,,cuML - RAPIDS Machine Learning Library.,122.0,19,True,2021-02-24 21:41:14.000000,0.18.0,7.0,cuml,,,,,0.0,,https://pypi.org/project/cuml,2020-06-01 20:09:10.000000,0.0,199.0,199.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n638,Coach,IntelLabs/coach,,reinforcement-learning,https://github.com/IntelLabs/coach,https://github.com/IntelLabs/coach,Apache-2.0,2017-10-01 19:27:43.000000,2021-02-09 13:54:52.000000,2021-02-09 13:54:44.000000,374,80.0,182.0,1931,513.0,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,34.0,19,True,2019-10-10 14:17:10.000000,1.0.1,13.0,rl_coach,,,,,2.0,,https://pypi.org/project/rl_coach,2019-10-10 14:17:10.000000,2.0,101.0,101.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n639,pdftabextract,WZBSocialScienceCenter/pdftabextract,,ocr,https://github.com/WZBSocialScienceCenter/pdftabextract,https://github.com/WZBSocialScienceCenter/pdftabextract,Apache-2.0,2016-07-08 11:44:46.000000,2020-12-28 00:52:23.000000,2018-10-26 13:57:02.000000,331,2.0,18.0,1897,168.0,A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.,2.0,19,False,2018-01-09 08:00:24.000000,0.3.0,5.0,pdftabextract,,,,,37.0,36.0,https://pypi.org/project/pdftabextract,2018-01-09 08:00:24.000000,1.0,222.0,222.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n640,Sweetviz,fbdesignpro/sweetviz,,data-viz,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47.000000,2021-02-26 17:36:34.000000,2021-02-26 17:31:53.000000,145,20.0,53.0,1351,94.0,\"Visualize and compare datasets, target values and associations, with one line of code.\",6.0,19,True,2021-02-26 17:36:35.000000,2.0.9,26.0,sweetviz,,,,,0.0,,https://pypi.org/project/sweetviz,2021-02-23 15:37:25.000000,0.0,6396.0,6396.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n641,checklist,marcotcr/checklist,,interpretability,https://github.com/marcotcr/checklist,https://github.com/marcotcr/checklist,MIT,2020-03-09 17:18:49.000000,2021-03-02 00:40:54.000000,2021-03-02 00:40:51.000000,103,3.0,62.0,1265,220.0,Beyond Accuracy: Behavioral Testing of NLP models with CheckList.,9.0,19,True,2020-09-21 18:30:40.000000,0.0.10,9.0,checklist,,,,['jupyter'],8.0,6.0,https://pypi.org/project/checklist,2020-09-21 18:30:40.000000,2.0,282.0,282.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n642,CausalNex,quantumblacklabs/causalnex,,interpretability,https://github.com/quantumblacklabs/causalnex,https://github.com/quantumblacklabs/causalnex,Apache-2.0,2019-12-12 15:26:09.000000,2021-03-03 15:00:55.000000,2021-03-03 14:41:44.000000,110,33.0,35.0,1012,93.0,A Python library that helps data scientists to infer causation rather than observing correlation.,16.0,19,True,2021-01-06 22:07:04.000000,0.9.1,13.0,causalnex,,,,\"['pytorch', 'sklearn']\",9.0,9.0,https://pypi.org/project/causalnex,2021-01-06 22:10:09.000000,,5290.0,5290.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n643,Skater,oracle/Skater,,interpretability,https://github.com/oracle/Skater,https://github.com/oracle/Skater,UPL-1.0,2017-01-26 05:45:42.000000,2020-11-01 15:57:12.273000,2020-06-29 20:07:12.000000,162,68.0,97.0,971,1101.0,Python Library for Model Interpretation/Explanations.,34.0,19,False,2018-09-21 07:03:32.000000,1.1.2,23.0,skater,conda-forge/skater,,,,,,https://pypi.org/project/skater,2018-09-21 07:03:32.000000,,6514.0,7284.0,https://anaconda.org/conda-forge/skater,2020-11-01 15:57:12.273000,34654.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n644,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,,pytorch-utils,https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000000,2021-03-04 11:14:36.000000,2021-03-04 11:14:33.000000,73,3.0,14.0,925,655.0,PyTorch extensions for fast R&D prototyping and Kaggle farming.,5.0,19,True,2021-03-03 09:36:08.000000,0.4.2,20.0,pytorch_toolbelt,,,,['pytorch'],2.0,,https://pypi.org/project/pytorch_toolbelt,2021-03-02 20:57:35.000000,2.0,6074.0,6074.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n645,gplearn,trevorstephens/gplearn,,others,https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14.000000,2020-02-15 08:12:38.000000,2020-02-15 08:12:17.000000,155,31.0,117.0,911,146.0,\"Genetic Programming in Python, with a scikit-learn inspired API.\",10.0,19,False,2019-06-01 02:04:52.000000,0.4.1,5.0,gplearn,,,,['sklearn'],152.0,138.0,https://pypi.org/project/gplearn,2019-06-01 02:04:52.000000,14.0,582.0,582.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n646,geoplotlib,andrea-cuttone/geoplotlib,,geospatial-data,https://github.com/andrea-cuttone/geoplotlib,https://github.com/andrea-cuttone/geoplotlib,MIT,2015-02-24 13:13:07.000000,2020-04-10 20:00:31.000000,2019-05-06 07:06:50.000000,145,24.0,18.0,897,159.0,python toolbox for visualizing geographical data and making maps.,8.0,19,False,2016-07-27 14:55:01.000000,0.3.2,4.0,geoplotlib,,,,,101.0,90.0,https://pypi.org/project/geoplotlib,2016-07-27 14:55:01.000000,11.0,811.0,811.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n647,pytorch-forecasting,jdb78/pytorch-forecasting,,time-series-data,https://github.com/jdb78/pytorch-forecasting,https://github.com/jdb78/pytorch-forecasting,MIT,2020-07-03 13:05:24.000000,2021-03-04 10:58:12.000000,2021-03-03 22:13:44.000000,92,46.0,105.0,816,719.0,Time series forecasting with PyTorch.,16.0,19,True,2021-01-31 22:54:04.000000,0.8.3,24.0,pytorch-forecasting,,,,,,,https://pypi.org/project/pytorch-forecasting,2021-01-31 22:54:04.000000,,3341.0,3341.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n648,calamari,Calamari-OCR/calamari,,ocr,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,Apache-2.0,2018-03-20 15:22:29.000000,2021-02-28 09:24:45.000000,2021-02-27 12:29:55.000000,167,21.0,149.0,785,337.0,Line based ATR Engine based on OCRopy.,17.0,19,True,2021-02-13 15:03:34.000000,2.0.1,24.0,calamari_ocr,,,,,2.0,,https://pypi.org/project/calamari_ocr,2018-11-13 11:24:45.000000,2.0,379.0,379.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n649,keras-ocr,faustomorales/keras-ocr,,ocr,https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50.000000,2020-12-11 02:31:17.000000,2020-11-26 17:18:25.000000,178,31.0,97.0,772,161.0,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,9.0,19,True,2020-11-26 17:19:39.000000,0.8.6,26.0,keras-ocr,,,,['tensorflow'],1.0,,https://pypi.org/project/keras-ocr,2020-11-26 17:19:39.000000,1.0,1568.0,5210.0,,,,,,,,3.0,21856.0,,,,,,,,,,,,,,,,,,,,,\n650,TF Recommenders,tensorflow/recommenders,,recommender-systems,https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01.000000,2021-03-03 19:08:05.000000,2021-03-01 21:59:41.000000,86,37.0,61.0,741,,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,17.0,19,True,2021-01-21 00:51:17.000000,0.4.0,8.0,tensorflow-recommenders,,,,['tensorflow'],13.0,13.0,https://pypi.org/project/tensorflow-recommenders,2021-01-21 00:51:17.000000,,2639.0,2639.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n651,NearPy,pixelogik/NearPy,,nn-search,https://github.com/pixelogik/NearPy,https://github.com/pixelogik/NearPy,MIT,2013-04-25 09:10:26.000000,2020-02-17 20:24:08.000000,2018-10-21 17:54:28.000000,135,23.0,38.0,663,159.0,\"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..\",18.0,19,False,2016-09-27 13:04:44.000000,1.0.0,8.0,NearPy,,,,,65.0,49.0,https://pypi.org/project/NearPy,2016-09-27 13:03:12.000000,16.0,999.0,999.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n652,Test Tube,williamFalcon/test-tube,,hyperopt,https://github.com/williamFalcon/test-tube,https://github.com/williamFalcon/test-tube,MIT,2017-09-06 02:14:57.000000,2021-01-17 20:04:39.000000,2020-03-17 22:44:47.000000,61,25.0,21.0,661,642.0,Python library to easily log experiments and parallelize hyperparameter search for neural networks.,16.0,19,True,2019-12-01 01:19:36.000000,0.7.5,53.0,test_tube,,,,,5.0,,https://pypi.org/project/test_tube,2018-12-12 22:45:59.000000,5.0,6125.0,6125.0,,,,,,,,3.0,8.0,,,,,,,,,,,,,,,,,,,,,\n653,NGT,yahoojapan/NGT,,nn-search,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000000,2021-02-26 01:28:27.000000,2021-02-26 01:27:37.000000,70,8.0,71.0,632,125.0,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,11.0,19,True,2021-02-14 23:05:20.000000,1.13.4,47.0,ngt,,,,,6.0,,https://pypi.org/project/ngt,2020-09-23 06:52:45.000000,6.0,2223.0,2223.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n654,Objax,google/objax,,ml-frameworks,https://github.com/google/objax,https://github.com/google/objax,Apache-2.0,2020-08-20 06:20:40.000000,2021-02-26 23:55:26.000000,2021-02-23 20:46:17.000000,45,41.0,49.0,577,402.0,Objax is a machine learning framework that provides an Object Oriented layer for JAX.,20.0,19,True,2021-02-03 19:08:33.000000,1.3.1,6.0,objax,,,,['jax'],5.0,5.0,https://pypi.org/project/objax,2021-02-03 18:57:30.000000,0.0,556.0,556.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n655,PFRL,pfnet/pfrl,,reinforcement-learning,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50.000000,2021-03-03 12:18:02.000000,2021-03-03 12:18:02.000000,62,22.0,24.0,526,344.0,PFRL: a PyTorch-based deep reinforcement learning library.,12.0,19,True,2020-12-17 05:00:25.000000,0.2.1,4.0,pfrl,,,,,5.0,5.0,https://pypi.org/project/pfrl,2020-12-17 05:00:25.000000,,436.0,436.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n656,iterative-stratification,trent-b/iterative-stratification,,sklearn-utils,https://github.com/trent-b/iterative-stratification,https://github.com/trent-b/iterative-stratification,BSD-3-Clause,2018-02-04 00:32:10.000000,2020-09-12 15:32:44.000000,2020-09-12 15:35:02.000000,47,1.0,10.0,523,47.0,scikit-learn cross validators for iterative stratification of multilabel data.,4.0,19,True,2018-08-12 18:28:50.000000,0.1.6,5.0,iterative-stratification,,,,['sklearn'],127.0,113.0,https://pypi.org/project/iterative-stratification,2018-08-12 18:28:50.000000,14.0,3256.0,3256.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n657,deeplift,kundajelab/deeplift,,interpretability,https://github.com/kundajelab/deeplift,https://github.com/kundajelab/deeplift,MIT,2016-06-01 02:18:06.000000,2020-11-11 19:56:24.000000,2020-11-11 19:56:23.000000,125,29.0,46.0,505,551.0,Public facing deeplift repo.,11.0,19,True,2018-07-13 21:11:52.000000,0.6.6,21.0,deeplift,,,,,48.0,44.0,https://pypi.org/project/deeplift,2020-11-11 09:32:57.000000,4.0,391.0,391.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n658,Feature Engine,solegalli/feature_engine,,others,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2018-12-31 01:47:18.000000,2021-03-04 14:05:43.000000,2021-03-04 14:05:43.000000,132,26.0,75.0,464,105.0,Feature engineering package with sklearn like functionality.,20.0,19,True,2021-01-23 12:03:16.000000,1.0.2,25.0,feature_engine,conda-forge/feature_engine,,,,2.0,,https://pypi.org/project/feature_engine,2021-01-23 12:03:16.000000,2.0,8461.0,8709.0,https://anaconda.org/conda-forge/feature_engine,2021-01-25 12:36:37.909000,1738.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n659,What-If Tool,PAIR-code/what-if-tool,,interpretability,https://github.com/PAIR-code/what-if-tool,https://github.com/PAIR-code/what-if-tool,Apache-2.0,2018-09-07 20:26:10.000000,2021-01-19 14:40:37.214000,2021-01-19 14:26:52.000000,94,36.0,35.0,457,313.0,Source code/webpage/demos for the What-If Tool.,18.0,19,True,2021-01-19 14:40:37.214000,1.8.0,38.0,witwidget,,,,,0.0,,https://pypi.org/project/witwidget,2021-01-19 14:40:21.000000,0.0,3904.0,7303.0,,,,,,,,3.0,,,,wit-widget,https://www.npmjs.com/package/wit-widget,2021-01-19 14:40:37.214000,,3399.0,,,,,,,,,,,,,,\n660,N2,kakao/n2,,nn-search,https://github.com/kakao/n2,https://github.com/kakao/n2,Apache-2.0,2017-11-23 02:27:59.000000,2020-10-21 05:15:27.000000,2020-10-21 05:14:11.000000,52,17.0,22.0,456,242.0,TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets.,17.0,19,True,2020-10-16 03:43:47.000000,0.1.7,9.0,n2,,,,,16.0,12.0,https://pypi.org/project/n2,2020-10-16 03:10:01.000000,4.0,406.0,406.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n661,Poutyne,GRAAL-Research/poutyne,,pytorch-utils,https://github.com/GRAAL-Research/poutyne,https://github.com/GRAAL-Research/poutyne,LGPL-3.0,2017-12-07 18:30:17.000000,2021-03-04 02:43:32.000000,2021-02-11 20:43:01.000000,49,7.0,35.0,455,522.0,A simplified framework and utilities for PyTorch.,15.0,19,False,2021-02-11 20:50:22.000000,1.3,19.0,poutyne,,,,['pytorch'],58.0,54.0,https://pypi.org/project/poutyne,2021-02-11 20:50:51.000000,4.0,343.0,343.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n662,seglearn,dmbee/seglearn,,time-series-data,https://github.com/dmbee/seglearn,https://github.com/dmbee/seglearn,BSD-3-Clause,2018-03-05 20:53:59.000000,2021-01-17 19:11:59.000000,2021-01-16 23:21:41.000000,47,6.0,21.0,434,267.0,Python module for machine learning time series:.,13.0,19,True,2021-01-17 19:11:59.000000,1.2.2,21.0,seglearn,,,,,8.0,7.0,https://pypi.org/project/seglearn,2021-01-17 19:11:59.000000,1.0,1056.0,1056.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n663,pivottablejs,nicolaskruchten/jupyter_pivottablejs,,data-viz,https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,MIT,2015-09-09 13:39:18.000000,2018-12-04 14:43:26.000000,2018-12-04 14:43:25.000000,57,16.0,37.0,421,32.0,\"Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js.\",3.0,19,False,2018-01-15 18:14:37.000000,0.9.0,10.0,pivottablejs,,,,['jupyter'],181.0,147.0,https://pypi.org/project/pivottablejs,2018-01-15 18:14:37.000000,34.0,4243.0,4243.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n664,explainerdashboard,oegedijk/explainerdashboard,,interpretability,https://github.com/oegedijk/explainerdashboard,https://github.com/oegedijk/explainerdashboard,MIT,2019-10-30 08:26:16.000000,2021-03-04 08:27:02.000000,2021-03-04 08:27:02.000000,48,9.0,69.0,359,590.0,Quickly build Explainable AI dashboards that show the inner workings of so-called blackbox machine learning models.,8.0,19,True,2021-03-03 19:28:29.000000,0.3.2.2,70.0,explainerdashboard,,,,,7.0,7.0,https://pypi.org/project/explainerdashboard,2021-03-03 19:29:01.000000,,1944.0,1944.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n665,animatplot,t-makaro/animatplot,,data-viz,https://github.com/t-makaro/animatplot,https://github.com/t-makaro/animatplot,MIT,2017-04-03 00:54:04.000000,2020-10-06 02:02:00.460000,2020-10-05 06:14:18.000000,33,16.0,15.0,357,178.0,A python package for animating plots build on matplotlib.,7.0,19,True,2020-10-05 06:20:52.000000,0.4.2,10.0,animatplot,conda-forge/animatplot,,,,15.0,14.0,https://pypi.org/project/animatplot,2020-10-05 06:20:52.000000,1.0,76.0,287.0,https://anaconda.org/conda-forge/animatplot,2020-10-06 02:02:00.460000,5277.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n666,MXBoard,awslabs/mxboard,,ml-experiments,https://github.com/awslabs/mxboard,https://github.com/awslabs/mxboard,Apache-2.0,2018-02-06 23:03:51.000000,2020-01-24 23:21:56.000000,2020-01-24 23:21:55.000000,46,16.0,15.0,330,42.0,Logging MXNet data for visualization in TensorBoard.,9.0,19,False,2018-05-22 20:25:51.000000,0.1.0,12.0,mxboard,,,,['mxnet'],109.0,97.0,https://pypi.org/project/mxboard,2018-05-22 20:25:51.000000,12.0,2694.0,2694.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n667,PyKEEN,pykeen/pykeen,,graph,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000000,2021-03-04 14:38:54.000000,2021-03-03 17:25:40.000000,54,61.0,83.0,324,2312.0,A Python library for learning and evaluating knowledge graph embeddings.,17.0,19,True,2021-02-15 14:17:06.000000,1.3.0,35.0,pykeen,,,,,2.0,,https://pypi.org/project/pykeen,2021-02-15 14:13:30.000000,2.0,171.0,179.0,,,,,,,,3.0,79.0,,,,,,,,,,,,,,,,,,,,,\n668,sklearn-evaluation,edublancas/sklearn-evaluation,,interpretability,https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2015-09-04 16:33:42.000000,2020-12-28 15:14:00.000000,2020-12-28 15:10:09.000000,25,8.0,27.0,286,504.0,\"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook..\",5.0,19,True,2020-12-28 15:14:25.000000,0.5.4,16.0,sklearn-evaluation,,,,['sklearn'],29.0,27.0,https://pypi.org/project/sklearn-evaluation,2020-12-28 15:13:44.000000,2.0,243.0,243.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n669,textpipe,textpipe/textpipe,,nlp,https://github.com/textpipe/textpipe,https://github.com/textpipe/textpipe,MIT,2018-06-21 16:23:32.000000,2021-03-01 11:56:23.000000,2021-01-25 14:01:56.000000,20,21.0,25.0,277,370.0,Textpipe: clean and extract metadata from text.,27.0,19,True,2021-01-25 14:05:21.000000,0.12.2,39.0,textpipe,,,,,8.0,7.0,https://pypi.org/project/textpipe,2021-01-25 14:05:21.000000,1.0,666.0,666.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n670,pandas-ml,pandas-ml/pandas-ml,,others,https://github.com/pandas-ml/pandas-ml,https://github.com/pandas-ml/pandas-ml,BSD-3-Clause,2015-02-21 03:14:04.000000,2020-08-14 12:29:33.000000,2019-03-05 01:36:55.000000,57,24.0,17.0,273,153.0,\"pandas, scikit-learn, xgboost and seaborn integration.\",4.0,19,False,2019-03-05 01:36:12.000000,0.6.1,9.0,pandas-ml,,,,\"['sklearn', 'pandas']\",10.0,,https://pypi.org/project/pandas-ml,2019-03-05 01:35:23.000000,10.0,1871.0,1871.0,,,,,,,,3.0,5.0,,,,,,,,,,,,,,,,,,,,,\n671,scikit-tda,scikit-tda/scikit-tda,,sklearn-utils,https://github.com/scikit-tda/scikit-tda,https://github.com/scikit-tda/scikit-tda,MIT,2018-04-13 21:00:31.000000,2021-01-09 19:51:04.000000,2021-01-09 19:50:05.000000,32,11.0,4.0,268,56.0,Topological Data Analysis for Python.,2.0,19,True,2021-01-09 19:51:04.000000,0.1.0,3.0,scikit-tda,,,,['sklearn'],19.0,19.0,https://pypi.org/project/scikit-tda,2021-01-09 19:51:04.000000,,3633.0,3633.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n672,Brainiak,brainiak/brainiak,,medical-data,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27.000000,2021-02-19 18:46:29.000000,2021-02-19 18:46:29.000000,106,63.0,119.0,233,390.0,Brain Imaging Analysis Kit.,32.0,19,True,2019-08-27 23:52:29.000000,0.9.1,15.0,brainiak,,brainiak/brainiak,,,13.0,12.0,https://pypi.org/project/brainiak,2020-10-15 20:45:08.000000,1.0,115.0,123.0,,,,https://hub.docker.com/r/brainiak/brainiak,2020-10-15 21:11:03.379549,1.0,497.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n673,pyfasttext,vrasneur/pyfasttext,,nlp,https://github.com/vrasneur/pyfasttext,https://github.com/vrasneur/pyfasttext,GPL-3.0,2017-06-30 18:44:42.000000,2018-12-08 15:32:09.000000,2018-12-08 15:02:12.000000,31,19.0,28.0,228,153.0,Yet another Python binding for fastText.,4.0,19,False,2018-12-08 15:32:09.000000,0.4.6,13.0,pyfasttext,,,,,155.0,142.0,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09.000000,13.0,1430.0,1437.0,,,,,,,,3.0,318.0,,,,,,,,,,,,,,,,,,,,,\n674,pymap3d,geospace-code/pymap3d,,geospatial-data,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03.000000,2021-02-07 08:49:00.919000,2021-02-07 06:25:44.000000,56,2.0,22.0,177,,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,8.0,19,True,2021-02-07 06:29:31.000000,2.5.0,46.0,pymap3d,conda-forge/pymap3d,,,,6.0,,https://pypi.org/project/pymap3d,2021-02-07 06:29:31.000000,6.0,14139.0,14711.0,https://anaconda.org/conda-forge/pymap3d,2021-02-07 08:49:00.919000,6867.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n675,gokart,m3dev/gokart,,ml-experiments,https://github.com/m3dev/gokart,https://github.com/m3dev/gokart,MIT,2018-12-23 07:40:27.000000,2021-02-20 05:47:51.000000,2021-02-16 05:33:50.000000,29,9.0,26.0,167,328.0,A wrapper of the data pipeline library luigi.,24.0,19,True,2021-01-29 04:20:56.000000,0.3.26,50.0,gokart,,,,,2.0,,https://pypi.org/project/gokart,2020-02-25 06:01:19.000000,2.0,442.0,442.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n676,Funsor,pyro-ppl/funsor,,probabilistics,https://github.com/pyro-ppl/funsor,https://github.com/pyro-ppl/funsor,Apache-2.0,2019-01-30 23:13:39.000000,2021-03-04 09:35:04.000000,2021-03-04 06:04:47.000000,15,70.0,65.0,163,501.0,Functional tensors for probabilistic programming.,9.0,19,True,2021-01-24 17:27:54.000000,0.4.0,6.0,funsor,,,,['pytorch'],10.0,10.0,https://pypi.org/project/funsor,2021-01-24 17:26:50.000000,0.0,149.0,149.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n677,Glow,projectglow/glow,,medical-data,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47.000000,2021-02-26 14:09:43.000000,2021-02-26 14:09:43.000000,40,19.0,54.0,159,316.0,An open-source toolkit for large-scale genomic analysis.,11.0,19,True,2021-02-09 17:45:43.000000,1.0.0,10.0,glow.py,,,,,,,https://pypi.org/project/glow.py,2021-02-08 22:11:48.000000,,3544.0,3544.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n678,graph-nets,deepmind/graph_nets,,graph,https://github.com/deepmind/graph_nets,https://github.com/deepmind/graph_nets,Apache-2.0,2018-08-31 08:19:28.000000,2020-12-04 17:43:48.000000,2020-12-04 17:43:47.000000,728,6.0,108.0,4806,47.0,Build Graph Nets in Tensorflow.,10.0,18,True,2020-01-29 16:00:25.000000,1.1.0,7.0,graph-nets,,,,['tensorflow'],7.0,,https://pypi.org/project/graph-nets,2020-01-29 16:00:25.000000,7.0,567.0,567.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n679,vit-pytorch,lucidrains/vit-pytorch,,image,https://github.com/lucidrains/vit-pytorch,https://github.com/lucidrains/vit-pytorch,MIT,2020-10-03 22:47:24.000000,2021-02-26 04:56:17.000000,2021-02-26 04:55:34.000000,280,31.0,45.0,2822,,\"Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single..\",4.0,18,True,2021-02-26 04:56:17.000000,0.7.6,33.0,vit-pytorch,,,,['pytorch'],8.0,8.0,https://pypi.org/project/vit-pytorch,2021-02-26 04:56:17.000000,,875.0,875.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n680,BytePS,bytedance/byteps,,distributed-ml,https://github.com/bytedance/byteps,https://github.com/bytedance/byteps,Apache-2.0,2019-06-25 07:00:13.000000,2021-03-02 16:19:29.000000,2021-02-17 07:35:29.000000,370,76.0,141.0,2719,413.0,A high performance and generic framework for distributed DNN training.,18.0,18,True,2020-08-27 15:42:13.000000,0.2.4,7.0,byteps,,bytepsimage/tensorflow,,,,,https://pypi.org/project/byteps,2020-11-04 00:05:46.000000,,63.0,112.0,,,,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,1042.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n681,Crypto Signals,CryptoSignal/crypto-signal,,financial-data,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24.000000,2021-02-18 09:15:31.000000,2020-09-03 12:26:48.000000,725,40.0,192.0,2695,563.0,\"Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 2,100 + stars, 580 + forks.\",25.0,18,True,,,,,,shadowreaver/crypto-signal,,,,,,,,,1011.0,,,,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133,8.0,42497.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n682,Kashgari,BrikerMan/Kashgari,,nlp,https://github.com/BrikerMan/Kashgari,https://github.com/BrikerMan/Kashgari,Apache-2.0,2019-01-19 01:53:28.000000,2020-12-09 02:13:33.000000,2020-10-29 08:08:00.000000,384,35.0,306.0,2042,,Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-..,19.0,18,True,2020-10-30 12:37:01.000000,2.0.1,23.0,kashgari-tf,,,,['tensorflow'],24.0,23.0,https://pypi.org/project/kashgari-tf,2019-10-18 07:57:55.000000,1.0,70.0,70.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n683,spark-deep-learning,databricks/spark-deep-learning,,data-pipelines,https://github.com/databricks/spark-deep-learning,https://github.com/databricks/spark-deep-learning,Apache-2.0,2017-05-31 17:30:28.000000,2021-01-20 15:05:13.000000,2021-01-20 15:00:20.000000,447,73.0,27.0,1812,135.0,Deep Learning Pipelines for Apache Spark.,15.0,18,True,2020-01-08 19:50:31.000000,1.6.0,9.0,,,,,['spark'],16.0,16.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n684,Mara Pipelines,mara/mara-pipelines,,data-pipelines,https://github.com/mara/mara-pipelines,https://github.com/mara/mara-pipelines,MIT,2018-03-31 20:37:22.000000,2021-01-23 23:22:28.000000,2021-01-23 23:22:27.000000,80,11.0,12.0,1630,131.0,\"A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow.\",16.0,18,True,2021-01-23 22:34:03.000000,3.1.2,7.0,mara-pipelines,,,,,7.0,7.0,https://pypi.org/project/mara-pipelines,2021-01-23 22:34:03.000000,,26.0,26.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n685,Antialiased CNNs,adobe/antialiased-cnns,,pytorch-utils,https://github.com/adobe/antialiased-cnns,https://github.com/adobe/antialiased-cnns,CC BY-NC-SA 4.0,2019-05-14 20:51:25.000000,2021-03-01 18:01:57.000000,2020-10-22 19:40:07.000000,176,9.0,29.0,1359,238.0,pip install antialiased-cnns to improve stability and accuracy.,6.0,18,False,2020-10-23 22:45:52.000000,0.3,6.0,antialiased-cnns,,,,['pytorch'],,,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49.000000,,789.0,789.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n686,doc2text,jlsutherland/doc2text,,ocr,https://github.com/jlsutherland/doc2text,https://github.com/jlsutherland/doc2text,MIT,2016-08-28 19:30:02.000000,2020-12-01 22:56:27.000000,2020-12-01 22:56:26.000000,91,12.0,9.0,1228,62.0,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,5.0,18,True,2016-09-06 21:59:21.000000,0.2.4,5.0,doc2text,,,,,33.0,33.0,https://pypi.org/project/doc2text,2016-09-06 21:59:21.000000,,227.0,227.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n687,TaskTiger,closeio/tasktiger,,data-pipelines,https://github.com/closeio/tasktiger,https://github.com/closeio/tasktiger,MIT,2015-05-14 00:26:32.000000,2021-02-24 17:55:46.000000,2021-02-17 17:06:00.000000,58,30.0,31.0,1048,252.0,Python task queue using Redis.,19.0,18,True,2019-10-29 19:32:58.000000,0.10.1,22.0,tasktiger,,,,,38.0,20.0,https://pypi.org/project/tasktiger,2020-06-18 22:08:56.000000,18.0,96.0,96.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n688,Paddle Graph Learning,PaddlePaddle/PGL,,graph,https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28.000000,2021-03-02 04:52:36.000000,2021-02-26 06:33:44.000000,121,17.0,29.0,915,,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,19.0,18,True,2021-02-02 13:17:55.000000,2.1.1,8.0,pgl,,,,['paddle'],11.0,9.0,https://pypi.org/project/pgl,2021-02-05 11:50:46.000000,2.0,183.0,183.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n689,Norfair,tryolabs/norfair,,image,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000000,2021-02-18 17:02:36.000000,2021-02-18 17:02:20.000000,57,5.0,16.0,913,259.0,Lightweight Python library for adding real-time 2D object tracking to any detector.,7.0,18,True,2021-02-17 21:29:11.000000,0.2.0,10.0,norfair,,,,,,,https://pypi.org/project/norfair,2021-02-17 21:29:11.000000,,391.0,391.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n690,Databolt Flow,d6t/d6tflow,,data-pipelines,https://github.com/d6t/d6tflow,https://github.com/d6t/d6tflow,MIT,2019-02-03 01:51:22.000000,2021-01-01 18:15:45.000000,2020-12-19 21:46:11.000000,66,8.0,11.0,899,106.0,Python library for building highly effective data science workflows.,10.0,18,True,2020-12-19 22:37:20.000000,0.2.2,19.0,d6tflow,,,,,12.0,12.0,https://pypi.org/project/d6tflow,2020-12-19 22:37:20.000000,,65.0,65.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n691,Fiber,uber/fiber,,distributed-ml,https://github.com/uber/fiber,https://github.com/uber/fiber,Apache-2.0,2020-01-07 18:16:24.000000,2021-02-24 07:17:45.000000,2021-02-24 06:58:46.000000,92,12.0,7.0,857,61.0,Distributed Computing for AI Made Simple.,5.0,18,True,2020-07-09 03:28:28.000000,0.2.1,6.0,fiber,,,,,23.0,22.0,https://pypi.org/project/fiber,2020-07-09 03:28:28.000000,1.0,761.0,761.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n692,advertorch,BorealisAI/advertorch,,adversarial,https://github.com/BorealisAI/advertorch,https://github.com/BorealisAI/advertorch,GPL-3.0,2018-11-29 22:17:33.000000,2021-02-26 11:22:02.000000,2020-06-15 01:16:18.000000,129,13.0,28.0,817,270.0,A Toolbox for Adversarial Robustness Research.,16.0,18,False,2020-06-15 01:20:07.000000,0.2.3,10.0,advertorch,,,,['pytorch'],34.0,31.0,https://pypi.org/project/advertorch,2020-06-15 01:20:07.000000,3.0,549.0,549.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n693,TensorFrames,databricks/tensorframes,,distributed-ml,https://github.com/databricks/tensorframes,https://github.com/databricks/tensorframes,Apache-2.0,2016-03-04 19:25:19.000000,2020-11-13 17:47:02.000000,2019-11-15 21:43:53.000000,158,51.0,43.0,768,221.0,[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark.,16.0,18,False,2018-11-16 20:50:02.000000,0.6.0,6.0,tensorframes,,,,\"['tensorflow', 'spark']\",1.0,,https://pypi.org/project/tensorframes,2018-05-16 14:20:28.000000,1.0,3473.0,3473.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n694,tffm,geffy/tffm,,tensorflow-utils,https://github.com/geffy/tffm,https://github.com/geffy/tffm,MIT,2016-05-02 17:06:07.000000,2020-05-22 21:40:58.000000,2020-05-22 21:40:57.000000,174,17.0,20.0,757,106.0,TensorFlow implementation of an arbitrary order Factorization Machine.,10.0,18,True,2018-01-27 11:43:26.000000,1.0.1,2.0,tffm,,,,['tensorflow'],11.0,10.0,https://pypi.org/project/tffm,2018-01-27 11:43:26.000000,1.0,938.0,938.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n695,pytorch2keras,nerox8664/pytorch2keras,,model-serialisation,https://github.com/nerox8664/pytorch2keras,https://github.com/nerox8664/pytorch2keras,MIT,2017-11-16 20:21:43.000000,2020-05-14 10:03:56.000000,2020-05-14 10:03:04.000000,112,42.0,66.0,666,277.0,PyTorch to Keras model convertor.,11.0,18,True,2020-05-14 10:03:56.000000,0.2.4,23.0,pytorch2keras,,,,,20.0,19.0,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56.000000,1.0,368.0,368.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n696,matrixprofile-ts,target/matrixprofile-ts,,time-series-data,https://github.com/target/matrixprofile-ts,https://github.com/target/matrixprofile-ts,Apache-2.0,2018-09-10 19:03:34.000000,2020-04-25 18:38:20.000000,2020-04-25 18:37:42.000000,92,19.0,34.0,614,198.0,A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile.,15.0,18,True,2019-08-08 01:24:38.000000,0.0.9,9.0,matrixprofile-ts,,,,,12.0,12.0,https://pypi.org/project/matrixprofile-ts,2019-08-08 01:24:38.000000,,1015.0,1015.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n697,vecstack,vecxoz/vecstack,,others,https://github.com/vecxoz/vecstack,https://github.com/vecxoz/vecstack,MIT,2016-11-08 13:23:21.000000,2020-09-14 08:31:07.000000,2019-10-30 09:27:48.000000,66,1.0,34.0,583,189.0,Python package for stacking (machine learning technique).,1.0,18,False,2019-08-12 16:09:01.000000,0.4.0,6.0,vecstack,,,,,119.0,111.0,https://pypi.org/project/vecstack,2019-08-12 16:01:22.000000,8.0,964.0,964.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n698,SKLL,EducationalTestingService/skll,,ml-experiments,https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,BSD-1-Clause,2013-08-02 14:31:46.000000,2021-03-04 14:39:20.000000,2021-02-26 02:53:35.000000,61,41.0,345.0,521,,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,34.0,18,False,2021-02-26 03:01:01.000000,2.5,64.0,skll,,,,['sklearn'],47.0,30.0,https://pypi.org/project/skll,2020-03-13 16:23:35.000000,17.0,200.0,200.0,,,,,,,,3.0,10.0,,2.0,,,,,,,,,,,,,,,,,,,\n699,robustness,MadryLab/robustness,,adversarial,https://github.com/MadryLab/robustness,https://github.com/MadryLab/robustness,MIT,2019-08-21 09:26:33.000000,2021-03-04 15:19:19.000000,2021-03-04 15:19:19.000000,89,6.0,49.0,486,139.0,\"A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.\",11.0,18,True,2020-12-01 06:11:12.000000,1.2.1.post2,10.0,robustness,,,,,41.0,39.0,https://pypi.org/project/robustness,2020-12-01 06:21:33.000000,2.0,257.0,257.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n700,pyhsmm,mattjj/pyhsmm,,probabilistics,https://github.com/mattjj/pyhsmm,https://github.com/mattjj/pyhsmm,MIT,2012-03-18 17:40:13.000000,2020-09-29 20:58:26.000000,2020-08-24 17:03:59.000000,148,34.0,60.0,484,1426.0,Bayesian inference in HSMMs and HMMs.,13.0,18,True,2017-05-10 17:14:37.000000,0.1.7,8.0,pyhsmm,,,,,25.0,17.0,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37.000000,8.0,54.0,54.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n701,TF Compression,tensorflow/compression,,tensorflow-utils,https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19.000000,2021-03-03 02:29:11.000000,2021-03-03 02:28:56.000000,157,1.0,57.0,449,150.0,Data compression in TensorFlow.,9.0,18,True,2021-01-06 01:50:06.000000,2.0b2,8.0,tensorflow-compression,,,,['tensorflow'],1.0,,https://pypi.org/project/tensorflow-compression,2021-01-06 01:36:13.000000,1.0,307.0,307.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n702,tcav,tensorflow/tcav,,interpretability,https://github.com/tensorflow/tcav,https://github.com/tensorflow/tcav,Apache-2.0,2018-07-03 17:45:35.000000,2021-02-23 16:17:42.000000,2021-02-23 16:16:33.000000,101,3.0,40.0,438,156.0,Code for the TCAV ML interpretability project.,17.0,18,True,2021-02-23 16:17:42.000000,0.2.2,4.0,tcav,,,,['tensorflow'],8.0,6.0,https://pypi.org/project/tcav,2021-02-23 16:17:42.000000,2.0,50.0,50.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n703,PyWaffle,gyli/PyWaffle,,data-viz,https://github.com/gyli/PyWaffle,https://github.com/gyli/PyWaffle,MIT,2017-11-14 20:03:47.000000,2020-07-26 23:22:17.000000,2020-07-26 23:22:13.000000,63,2.0,10.0,404,249.0,Make Waffle Charts in Python.,6.0,18,True,2020-07-26 19:16:45.000000,0.6.1,22.0,pywaffle,,,,,42.0,42.0,https://pypi.org/project/pywaffle,2020-07-26 19:16:45.000000,,712.0,712.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n704,Orbit,uber/orbit,,probabilistics,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000000,2021-03-03 03:46:40.000000,2021-03-03 03:46:39.000000,22,19.0,164.0,336,586.0,Bayesian forecasting with object-oriented design and probabilistic models under the hood.,7.0,18,True,2021-02-19 16:42:02.000000,1.0.12,11.0,orbit-ml,,,,,4.0,4.0,https://pypi.org/project/orbit-ml,2021-02-19 16:42:02.000000,,110.0,110.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n705,Camphr,PKSHATechnology-Research/camphr,,nlp,https://github.com/PKSHATechnology-Research/camphr,https://github.com/PKSHATechnology-Research/camphr,Apache-2.0,2020-02-10 03:39:58.000000,2021-03-04 09:53:05.000000,2021-03-04 09:35:05.000000,17,12.0,16.0,327,1211.0,\"spaCy plugin for Transformers , Udify, ELmo, etc.\",7.0,18,True,2021-03-03 06:44:54.000000,0.8.5,44.0,camphr,,,,['spacy'],0.0,,https://pypi.org/project/camphr,2021-03-04 09:53:05.000000,0.0,348.0,348.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n706,apricot,jmschrei/apricot,,others,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12.000000,2021-02-18 03:37:56.000000,2021-02-18 03:37:55.000000,29,3.0,12.0,306,167.0,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,2.0,18,True,2020-09-28 07:19:15.000000,0.6.0,13.0,apricot-select,,,,,14.0,14.0,https://pypi.org/project/apricot-select,2020-09-28 07:19:15.000000,0.0,212.0,212.0,,,,,,,,3.0,8.0,,,,,,,,,,,,,,,,,,,,,\n707,AutoViz,AutoViML/AutoViz,,data-viz,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06.000000,2020-12-21 03:22:01.000000,2020-12-21 03:21:52.000000,55,6.0,16.0,305,97.0,\"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..\",10.0,18,True,2020-12-10 02:33:19.000000,0.0.81,26.0,autoviz,,,,,31.0,31.0,https://pypi.org/project/autoviz,2020-12-10 02:33:19.000000,,944.0,944.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n708,sk-dist,Ibotta/sk-dist,,distributed-ml,https://github.com/Ibotta/sk-dist,https://github.com/Ibotta/sk-dist,Apache-2.0,2019-08-14 21:07:17.000000,2021-03-01 23:05:15.000000,2021-03-01 23:05:11.000000,44,7.0,9.0,256,47.0,Distributed scikit-learn meta-estimators in PySpark.,6.0,18,True,2020-05-14 22:20:14.000000,0.1.9,12.0,sk-dist,,,,\"['sklearn', 'spark']\",8.0,6.0,https://pypi.org/project/sk-dist,2020-05-14 22:20:14.000000,2.0,2829.0,2829.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n709,recmetrics,statisticianinstilettos/recmetrics,,recommender-systems,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49.000000,2020-12-03 21:21:02.000000,2020-12-03 21:21:00.000000,56,3.0,7.0,237,233.0,A library of metrics for evaluating recommender systems.,12.0,18,True,2019-03-05 04:11:15.000000,0.0.12,14.0,recmetrics,,,,,16.0,16.0,https://pypi.org/project/recmetrics,2019-03-05 04:11:15.000000,,597.0,597.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n710,DeepGraph,deepgraph/deepgraph,,graph,https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45.000000,2021-01-15 08:36:25.609000,2020-10-01 13:17:00.000000,33,7.0,5.0,228,160.0,Analyze Data with Pandas-based Networks. Documentation:.,2.0,18,True,2020-10-01 13:20:38.000000,0.2.3,13.0,deepgraph,conda-forge/deepgraph,,,['pandas'],1.0,1.0,https://pypi.org/project/deepgraph,2020-10-01 13:18:38.000000,,159.0,2069.0,https://anaconda.org/conda-forge/deepgraph,2021-01-15 08:36:25.609000,82137.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n711,somoclu,peterwittek/somoclu,,distributed-ml,https://github.com/peterwittek/somoclu,https://github.com/peterwittek/somoclu,MIT,2013-01-16 06:33:16.000000,2020-10-13 18:39:07.609000,2020-07-24 13:00:47.000000,55,26.0,103.0,224,590.0,\"Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters.\",17.0,18,True,2018-03-03 02:44:37.000000,1.7.5,17.0,somoclu,conda-forge/somoclu,,,,4.0,,https://pypi.org/project/somoclu,2020-04-25 05:33:32.000000,4.0,410.0,1407.0,https://anaconda.org/conda-forge/somoclu,2020-10-13 18:39:07.609000,42071.0,,,,,3.0,1449.0,,,,,,,,,,,,,,,,,,,,,\n712,ivis,beringresearch/ivis,,data-viz,https://github.com/beringresearch/ivis,https://github.com/beringresearch/ivis,GPL-2.0,2018-08-13 08:31:01.000000,2021-01-20 11:32:35.000000,2021-01-20 11:32:25.000000,20,4.0,41.0,222,517.0,Dimensionality reduction in very large datasets using Siamese Networks.,7.0,18,False,2021-01-06 17:09:59.000000,2.0.1,27.0,ivis,,,,['tensorflow'],14.0,14.0,https://pypi.org/project/ivis,2021-01-06 17:07:15.000000,0.0,287.0,287.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n713,FiftyOne,voxel51/fiftyone,,data-viz,https://github.com/voxel51/fiftyone,https://github.com/voxel51/fiftyone,Apache-2.0,2020-04-22 13:43:28.000000,2021-03-03 20:49:48.000000,2021-03-03 18:28:57.000000,19,134.0,218.0,215,5467.0,\"Visualize, create, and debug image and video datasets and model predictions.\",10.0,18,True,2021-03-03 02:38:33.000000,0.7.4,45.0,fiftyone,,,,\"['tensorflow', 'pytorch', 'jupyter']\",,,https://pypi.org/project/fiftyone,2021-03-03 02:38:33.000000,,328.0,328.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n714,skift,shaypal5/skift,,nlp,https://github.com/shaypal5/skift,https://github.com/shaypal5/skift,MIT,2018-02-03 11:37:21.000000,2021-01-19 11:35:21.000000,2021-01-19 11:35:09.000000,22,2.0,8.0,212,127.0,scikit-learn wrappers for Python fastText.,6.0,18,True,2020-08-27 15:01:05.000000,0.0.19,15.0,skift,,,,['sklearn'],8.0,8.0,https://pypi.org/project/skift,2020-08-27 15:01:05.000000,,2100.0,2100.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n715,Auto TS,AutoViML/Auto_TS,,time-series-data,https://github.com/AutoViML/Auto_TS,https://github.com/AutoViML/Auto_TS,Apache-2.0,2020-02-15 15:23:32.000000,2021-03-01 19:18:24.000000,2021-01-24 03:17:19.000000,36,7.0,26.0,186,230.0,\"Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of..\",5.0,18,True,2021-01-24 03:19:22.000000,0.0.35,14.0,auto-ts,,,,,,,https://pypi.org/project/auto-ts,2021-01-24 03:19:22.000000,,189.0,189.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n716,fairness-indicators,tensorflow/fairness-indicators,,interpretability,https://github.com/tensorflow/fairness-indicators,https://github.com/tensorflow/fairness-indicators,Apache-2.0,2019-09-30 22:56:45.000000,2021-03-03 18:56:24.000000,2021-03-03 18:56:16.000000,53,15.0,5.0,183,247.0,Tensorflow's Fairness Evaluation and Visualization Toolkit.,19.0,18,True,2021-01-28 22:09:49.000000,0.27.0,13.0,fairness-indicators,,,,\"['tensorflow', 'jupyter']\",,,https://pypi.org/project/fairness-indicators,2021-01-28 22:09:49.000000,,282.0,282.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n717,flupy,olirice/flupy,,data-pipelines,https://github.com/olirice/flupy,https://github.com/olirice/flupy,MIT,2018-01-06 16:46:04.000000,2021-01-06 12:37:41.000000,2021-01-06 12:37:33.000000,9,,7.0,153,176.0,Fluent data pipelines for python and your shell.,4.0,18,True,2021-01-06 12:37:15.000000,1.1.6,34.0,flupy,,,,,0.0,,https://pypi.org/project/flupy,2021-01-06 12:37:15.000000,0.0,3933.0,3933.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n718,nvidia-ml-py3,nicolargo/nvidia-ml-py3,,gpu-utilities,https://github.com/nicolargo/nvidia-ml-py3,https://github.com/nicolargo/nvidia-ml-py3,BSD-3-Clause,2017-06-03 07:47:03.000000,2019-03-06 20:41:10.000000,2019-03-06 20:41:09.000000,14,2.0,,64,5.0,Python 3 Bindings for the NVIDIA Management Library.,2.0,18,False,2017-06-03 07:43:46.000000,7.352.0,1.0,nvidia-ml-py3,,,,,2953.0,2733.0,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46.000000,220.0,309927.0,309927.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n719,DeepMind Lab,deepmind/lab,,reinforcement-learning,https://github.com/deepmind/lab,https://github.com/deepmind/lab,GPL-2.0,2016-11-30 13:41:26.000000,2021-01-29 16:39:16.000000,2021-01-24 11:42:21.000000,1286,37.0,153.0,6410,477.0,A customisable 3D platform for agent-based AI research.,7.0,17,False,2020-12-07 11:26:33.000000,release-2020-12-07,8.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n720,ReAgent,facebookresearch/ReAgent,,reinforcement-learning,https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000000,2021-03-04 04:36:01.000000,2021-03-04 04:35:54.000000,384,20.0,74.0,2818,1109.0,\"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).\",87.0,17,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n721,Spotlight,maciejkula/spotlight,,recommender-systems,https://github.com/maciejkula/spotlight,https://github.com/maciejkula/spotlight,MIT,2017-06-25 18:52:19.000000,2020-11-15 08:21:28.000000,2020-02-09 21:03:48.000000,372,67.0,48.0,2422,299.0,Deep recommender models using PyTorch.,11.0,17,False,2019-09-08 10:19:53.000000,0.1.6,7.0,,maciejkula/spotlight,,,['pytorch'],,,,,,,133.0,https://anaconda.org/maciejkula/spotlight,2018-05-27 18:32:12.235000,6017.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n722,LIT,PAIR-code/lit,,interpretability,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000000,2021-03-04 13:41:59.000000,2020-11-17 00:43:10.000000,242,38.0,33.0,2391,,The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and..,10.0,17,True,2020-11-17 00:53:31.000000,0.2,4.0,lit-nlp,,,,,1.0,1.0,https://pypi.org/project/lit-nlp,2020-11-17 00:52:37.000000,,276.0,276.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n723,PaddleDetection,PaddlePaddle/PaddleDetection,,image,https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000000,2021-03-04 09:10:40.000000,2021-03-02 12:05:11.000000,656,350.0,881.0,2322,746.0,Object detection and instance segmentation toolkit based on PaddlePaddle.,48.0,17,True,2019-11-27 05:15:38.000000,0.1.0,1.0,,,,,['paddle'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n724,riko,nerevu/riko,,data-pipelines,https://github.com/nerevu/riko,https://github.com/nerevu/riko,MIT,2016-06-02 12:22:51.000000,2020-08-14 18:29:28.000000,2020-08-14 16:47:45.000000,72,22.0,8.0,1555,1257.0,A Python stream processing engine modeled after Yahoo! Pipes.,18.0,17,True,2020-08-14 18:29:28.000000,0.66.0,58.0,riko,,,,,1.0,,https://pypi.org/project/riko,2020-08-14 18:29:28.000000,1.0,116.0,116.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n725,NeuroNER,Franck-Dernoncourt/NeuroNER,,nlp,https://github.com/Franck-Dernoncourt/NeuroNER,https://github.com/Franck-Dernoncourt/NeuroNER,MIT,2017-03-07 01:24:15.000000,2020-11-13 18:07:48.000000,2019-10-02 23:26:11.000000,440,80.0,67.0,1541,132.0,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,7.0,17,False,2019-10-02 23:30:15.000000,1.0.8,7.0,pyneuroner,,,,,8.0,8.0,https://pypi.org/project/pyneuroner,2019-10-02 23:30:15.000000,,56.0,56.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n726,BlazingSQL,BlazingDB/blazingsql,,gpu-utilities,https://github.com/BlazingDB/blazingsql,https://github.com/BlazingDB/blazingsql,Apache-2.0,2018-09-24 18:25:45.000000,2021-03-04 14:36:55.000000,2021-03-04 14:36:55.000000,132,250.0,351.0,1430,,\"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.\",40.0,17,True,2021-02-26 21:15:55.000000,0.18.0,16.0,,blazingsql/blazingsql-protocol,,,,,,,,,,50.0,https://anaconda.org/blazingsql/blazingsql-protocol,2019-11-11 19:54:17.621000,916.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n727,River,online-ml/river,,others,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000000,2021-03-03 11:20:00.000000,2021-03-01 02:09:07.000000,185,40.0,255.0,1430,3003.0,Online machine learning in Python.,59.0,17,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n728,Advisor,tobegit3hub/advisor,,hyperopt,https://github.com/tobegit3hub/advisor,https://github.com/tobegit3hub/advisor,Apache-2.0,2017-09-14 03:50:33.000000,2019-11-11 07:09:57.869705,2019-11-11 06:59:31.000000,245,19.0,13.0,1353,165.0,Open-source implementation of Google Vizier for hyper parameters tuning.,11.0,17,False,2018-10-18 02:54:09.000000,0.1.6,4.0,advisor,,tobegit3hub/advisor,,,,,https://pypi.org/project/advisor,2018-10-18 02:54:09.000000,,32.0,69.0,,,,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1558.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n729,Backtesting.py,kernc/backtesting.py,,financial-data,https://github.com/kernc/backtesting.py,https://github.com/kernc/backtesting.py,AGPL-3.0,2019-01-02 03:11:32.000000,2021-02-10 02:19:32.000000,2021-02-10 02:19:13.000000,252,21.0,176.0,1059,219.0,Backtest trading strategies in Python.,8.0,17,False,2017-07-22 02:00:06.000000,0.0.1,1.0,backtesting,,,,,,,https://pypi.org/project/backtesting,2017-07-22 02:00:06.000000,,2279.0,2279.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n730,sklearn-porter,nok/sklearn-porter,,model-serialisation,https://github.com/nok/sklearn-porter,https://github.com/nok/sklearn-porter,MIT,2016-06-22 22:21:34.000000,2021-02-28 20:44:14.000000,2019-12-18 13:31:50.000000,126,39.0,29.0,1005,699.0,\"Transpile trained scikit-learn estimators to C, Java, JavaScript and others.\",11.0,17,False,2019-12-18 13:39:19.000000,0.7.4,20.0,sklearn-porter,,,,['sklearn'],1.0,,https://pypi.org/project/sklearn-porter,2019-12-18 13:39:19.000000,1.0,254.0,254.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n731,Bounter,RaRe-Technologies/bounter,,data-containers,https://github.com/RaRe-Technologies/bounter,https://github.com/RaRe-Technologies/bounter,MIT,2017-07-18 07:24:15.000000,2020-08-17 06:37:51.000000,2020-08-16 11:55:16.000000,48,11.0,9.0,896,152.0,Efficient Counter that uses a limited (bounded) amount of memory regardless of data size.,8.0,17,True,2020-08-17 06:37:51.000000,1.1.1,7.0,bounter,,,,,34.0,20.0,https://pypi.org/project/bounter,2020-08-17 06:37:51.000000,14.0,108.0,108.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n732,Hivemind,learning-at-home/hivemind,,distributed-ml,https://github.com/learning-at-home/hivemind,https://github.com/learning-at-home/hivemind,MIT,2020-02-27 13:50:19.000000,2021-03-04 14:57:34.000000,2021-03-04 11:31:40.000000,37,25.0,21.0,654,306.0,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,10.0,17,True,2021-02-28 16:28:51.000000,0.9.0,6.0,hivemind,,,,,2.0,1.0,https://pypi.org/project/hivemind,2021-02-28 16:15:35.000000,1.0,34.0,34.0,,,,,,,,3.0,,,2.0,,,,,,,,,,,,,,,,,,,\n733,Saliency,PAIR-code/saliency,,tensorflow-utils,https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35.000000,2021-03-03 22:39:23.000000,2020-10-01 22:54:59.000000,137,11.0,10.0,638,64.0,\"TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques.\",12.0,17,True,2019-09-26 17:59:23.000000,0.0.5,5.0,saliency,,,,['tensorflow'],15.0,13.0,https://pypi.org/project/saliency,2019-09-26 17:59:23.000000,2.0,68.0,68.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n734,sklearn-deap,rsteca/sklearn-deap,,hyperopt,https://github.com/rsteca/sklearn-deap,https://github.com/rsteca/sklearn-deap,MIT,2015-10-28 22:52:34.000000,2019-12-03 13:29:06.000000,2019-12-03 13:29:04.000000,107,21.0,31.0,630,98.0,Use evolutionary algorithms instead of gridsearch in scikit-learn.,20.0,17,False,2019-07-15 09:24:09.000000,0.2.4,13.0,sklearn-deap,,,,['sklearn'],26.0,24.0,https://pypi.org/project/sklearn-deap,2019-07-15 09:24:09.000000,2.0,284.0,284.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n735,ADTK,arundo/adtk,,time-series-data,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22.000000,2020-04-29 19:54:40.000000,2020-04-17 02:27:44.000000,77,22.0,30.0,606,78.0,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,11.0,17,True,2020-04-17 02:18:00.000000,0.6.2,13.0,adtk,,,,,,,https://pypi.org/project/adtk,2020-04-17 02:18:00.000000,,28387.0,28387.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n736,Dragonfly,dragonfly/dragonfly,,hyperopt,https://github.com/dragonfly/dragonfly,https://github.com/dragonfly/dragonfly,MIT,2018-04-20 22:19:50.000000,2020-07-26 17:44:31.000000,2020-07-03 18:01:17.000000,74,22.0,17.0,567,397.0,An open source python library for scalable Bayesian optimisation.,12.0,17,True,2020-07-03 18:05:12.000000,0.1.6,9.0,dragonfly-opt,,,,,2.0,,https://pypi.org/project/dragonfly-opt,2020-07-03 18:05:12.000000,2.0,6538.0,6538.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n737,RLax,deepmind/rlax,,reinforcement-learning,https://github.com/deepmind/rlax,https://github.com/deepmind/rlax,Apache-2.0,2020-02-18 07:14:59.000000,2021-03-02 14:09:58.000000,2021-03-02 14:09:08.000000,44,3.0,4.0,565,106.0,A library of reinforcement learning building blocks in JAX.,10.0,17,True,2020-02-19 23:01:30.000000,0.1.0,3.0,rlax,,,,['jax'],11.0,11.0,https://pypi.org/project/rlax,2020-02-19 23:01:30.000000,,122.0,122.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n738,Tensor Sensor,parrt/tensor-sensor,,pytorch-utils,https://github.com/parrt/tensor-sensor,https://github.com/parrt/tensor-sensor,MIT,2020-08-28 22:54:04.000000,2021-01-07 00:40:37.000000,2021-01-07 00:40:31.000000,24,4.0,12.0,530,155.0,The goal of this library is to generate more helpful exception messages for numpy/pytorch matrix algebra expressions.,2.0,17,True,2020-12-03 20:46:15.000000,0.1.1,34.0,tensor-sensor,,,,['pytorch'],2.0,2.0,https://pypi.org/project/tensor-sensor,2020-12-03 20:45:09.000000,,199.0,199.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n739,Performer Pytorch,lucidrains/performer-pytorch,,pytorch-utils,https://github.com/lucidrains/performer-pytorch,https://github.com/lucidrains/performer-pytorch,MIT,2020-10-03 03:41:36.000000,2021-02-23 21:47:08.000000,2021-01-17 01:22:36.000000,69,19.0,33.0,529,,\"An implementation of Performer, a linear attention-based transformer, in Pytorch.\",4.0,17,True,2021-01-17 01:23:12.000000,0.15.0,61.0,performer-pytorch,,,,['pytorch'],12.0,12.0,https://pypi.org/project/performer-pytorch,2021-01-17 01:23:12.000000,,725.0,725.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n740,Vulkan Kompute,EthicalML/vulkan-kompute,,gpu-utilities,https://github.com/EthicalML/vulkan-kompute,https://github.com/EthicalML/vulkan-kompute,Apache-2.0,2020-07-29 05:23:33.000000,2021-03-04 08:40:31.000000,2021-03-02 07:40:37.000000,27,44.0,77.0,341,724.0,\"General purpose GPU compute framework for cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast,..\",9.0,17,True,2021-01-31 12:01:30.000000,0.6.0,10.0,kp,,,,,2.0,2.0,https://pypi.org/project/kp,2021-01-31 12:02:25.000000,,70.0,75.0,,,,,,,,3.0,36.0,,,,,,,,,,,,,,,,,,,,,\n741,tick,X-DataInitiative/tick,,time-series-data,https://github.com/X-DataInitiative/tick,https://github.com/X-DataInitiative/tick,BSD-3-Clause,2016-12-01 10:59:08.000000,2020-08-11 12:36:43.000000,2020-06-15 12:01:36.000000,74,55.0,159.0,325,413.0,\"Module for statistical learning, with a particular emphasis on time-dependent modelling.\",16.0,17,True,2019-09-11 11:25:15.000000,0.6,23.0,tick,,,,,31.0,30.0,https://pypi.org/project/tick,2020-05-24 22:01:17.000000,1.0,413.0,416.0,,,,,,,,3.0,157.0,,,,,,,,,,,,,,,,,,,,,\n742,Baal,ElementAI/baal,,probabilistics,https://github.com/ElementAI/baal,https://github.com/ElementAI/baal,Apache-2.0,2019-09-30 20:16:26.000000,2021-03-01 20:38:34.000000,2021-02-25 15:31:57.000000,29,12.0,27.0,323,100.0,Using approximate bayesian posteriors in deep nets for active learning.,8.0,17,True,2020-11-03 21:14:13.000000,1.2.1,7.0,baal,,,,,7.0,7.0,https://pypi.org/project/baal,2020-11-03 21:07:08.000000,,111.0,111.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n743,Sherpa,sherpa-ai/sherpa,,hyperopt,https://github.com/sherpa-ai/sherpa,https://github.com/sherpa-ai/sherpa,GPL-3.0,2018-05-16 21:41:54.000000,2020-10-18 07:57:50.000000,2020-10-18 07:57:48.000000,44,11.0,41.0,286,823.0,\"Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.\",43.0,17,False,2020-07-31 05:29:09.000000,1.0.7,8.0,parameter-sherpa,,,,,9.0,7.0,https://pypi.org/project/parameter-sherpa,2019-11-23 21:32:27.000000,2.0,194.0,194.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n744,imodels,csinva/imodels,,interpretability,https://github.com/csinva/imodels,https://github.com/csinva/imodels,MIT,2019-07-04 15:38:48.000000,2021-02-22 09:18:29.000000,2021-02-22 09:18:22.000000,16,1.0,8.0,187,230.0,\"Interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible).\",3.0,17,True,2021-02-17 20:20:37.000000,0.2.7,7.0,imodels,,,,,6.0,6.0,https://pypi.org/project/imodels,2021-02-17 20:19:07.000000,,66.0,66.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n745,ExplainX.ai,explainX/explainx,,interpretability,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15.000000,2021-02-07 11:06:21.000000,2021-02-02 09:03:57.000000,29,10.0,14.0,186,184.0,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,4.0,17,True,2021-02-07 11:06:21.000000,2.407,56.0,explainx,,,,,,,https://pypi.org/project/explainx,2021-02-04 16:44:24.000000,,319.0,319.0,,,,,,,,3.0,1.0,,,,,,,,,,,,,,,,,,,,,\n746,elegy,poets-ai/elegy,,ml-frameworks,https://github.com/poets-ai/elegy,https://github.com/poets-ai/elegy,Apache-2.0,2020-06-30 14:00:37.000000,2021-03-03 19:31:27.000000,2021-03-01 22:51:11.000000,11,21.0,36.0,179,294.0,Elegy is a framework-agnostic Trainer interface for the Jax ecosystem.,13.0,17,True,2021-03-01 22:50:10.000000,0.7.1,21.0,elegy,,,,\"['tensorflow', 'jax']\",,,https://pypi.org/project/elegy,2021-03-01 22:47:33.000000,,245.0,245.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n747,Muda,bmcfee/muda,,audio,https://github.com/bmcfee/muda,https://github.com/bmcfee/muda,ISC,2014-11-07 21:21:22.000000,2020-09-01 19:21:10.000000,2020-07-20 20:00:17.000000,31,5.0,44.0,175,291.0,A library for augmenting annotated audio data.,6.0,17,True,2019-11-15 15:46:21.000000,0.4.1,11.0,muda,,,,,10.0,9.0,https://pypi.org/project/muda,2019-11-15 15:46:21.000000,1.0,52.0,52.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n748,model-card-toolkit,tensorflow/model-card-toolkit,,interpretability,https://github.com/tensorflow/model-card-toolkit,https://github.com/tensorflow/model-card-toolkit,Apache-2.0,2020-07-24 16:48:58.000000,2021-03-03 18:56:40.000000,2021-03-03 18:56:32.000000,27,12.0,2.0,171,110.0,a tool that leverages rich metadata and lineage information in MLMD to build a model card.,8.0,17,True,2021-02-05 20:56:01.000000,0.1.3,4.0,model-card-toolkit,,,,,1.0,1.0,https://pypi.org/project/model-card-toolkit,2021-02-05 20:54:29.000000,,163.0,163.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n749,BatchFlow,analysiscenter/batchflow,,data-pipelines,https://github.com/analysiscenter/batchflow,https://github.com/analysiscenter/batchflow,Apache-2.0,2017-03-13 14:22:53.000000,2021-03-04 13:03:50.000000,2021-03-04 11:37:26.000000,35,52.0,57.0,154,4433.0,BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and..,29.0,17,True,2019-08-23 12:21:50.000000,0.3.0,3.0,batchflow,,,,,,,https://pypi.org/project/batchflow,2019-08-23 12:21:50.000000,,14.0,14.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n750,Larq Compute Engine,larq/compute-engine,,model-serialisation,https://github.com/larq/compute-engine,https://github.com/larq/compute-engine,Apache-2.0,2019-08-29 15:02:43.000000,2021-03-04 09:30:33.000000,2021-03-04 09:30:32.000000,21,22.0,90.0,132,458.0,Highly optimized inference engine for Binarized Neural Networks.,15.0,17,False,2021-01-30 03:07:11.000000,0.5.0,12.0,larq-compute-engine,,,,,1.0,1.0,https://pypi.org/project/larq-compute-engine,2021-01-30 03:07:11.000000,,407.0,420.0,,,,,,,,3.0,171.0,,,,,,,,,,,,,,,,,,,,,\n751,dabl,amueller/dabl,,sklearn-utils,https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49.000000,2021-02-27 01:32:09.000000,2020-07-08 16:14:41.000000,7,1.0,,69,252.0,Data Analysis Baseline Library.,18.0,17,False,2021-02-27 01:25:17.000000,0.2.0,11.0,dabl,,,,['sklearn'],,,https://pypi.org/project/dabl,2021-02-27 01:25:17.000000,,1451.0,1451.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n752,automl-gs,minimaxir/automl-gs,,hyperopt,https://github.com/minimaxir/automl-gs,https://github.com/minimaxir/automl-gs,MIT,2019-01-13 18:57:44.000000,2019-10-22 11:20:40.000000,2019-04-05 06:48:14.000000,157,26.0,6.0,1724,102.0,\"Provide an input CSV and a target field to predict, generate a model + code to run it.\",7.0,16,False,2019-04-05 06:51:04.000000,0.2.1,2.0,automl_gs,,,,,,,https://pypi.org/project/automl_gs,2019-04-05 06:47:54.000000,,26.0,26.0,,,,,,,,3.0,21.0,,,,,,,,,,,,,,,,,,,,,\n753,Xcessiv,reiinakano/xcessiv,,hyperopt,https://github.com/reiinakano/xcessiv,https://github.com/reiinakano/xcessiv,Apache-2.0,2017-03-07 18:18:25.000000,2018-06-06 22:23:37.000000,2017-08-21 00:51:15.000000,109,22.0,13.0,1258,316.0,\"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.\",6.0,16,False,2017-08-21 00:53:25.000000,0.5.1,34.0,xcessiv,,,,,2.0,1.0,https://pypi.org/project/xcessiv,2017-08-21 00:49:41.000000,1.0,83.0,83.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n754,Botflow,kkyon/botflow,,data-pipelines,https://github.com/kkyon/botflow,https://github.com/kkyon/botflow,BSD-3-Clause,2018-08-20 03:13:31.000000,2020-12-31 09:03:22.000000,2019-05-23 14:40:50.000000,98,2.0,2.0,1161,192.0,\"Python Fast Dataflow programming framework for Data pipeline work( Web Crawler,Machine Learning,Quantitative..\",11.0,16,False,2018-09-14 14:38:32.000000,0.2.0,5.0,botflow,,,,,1.0,1.0,https://pypi.org/project/botflow,2018-09-14 14:38:32.000000,,26.0,26.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n755,CrypTen,facebookresearch/CrypTen,,privacy-ml,https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000000,2021-02-25 23:27:27.000000,2021-02-25 23:27:19.000000,97,15.0,33.0,723,237.0,A framework for Privacy Preserving Machine Learning.,23.0,16,True,2020-04-21 13:59:37.000000,0.1,1.0,crypten,,,,['pytorch'],6.0,6.0,https://pypi.org/project/crypten,2020-02-05 18:53:03.000000,,94.0,94.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n756,cuGraph,rapidsai/cugraph,,gpu-utilities,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000000,2021-03-04 14:05:37.000000,2021-03-04 14:05:32.000000,144,93.0,501.0,668,,cuGraph - RAPIDS Graph Analytics Library.,59.0,16,True,2021-02-24 21:42:05.000000,0.18.0,6.0,cugraph,,,,,0.0,,https://pypi.org/project/cugraph,2020-06-01 20:09:06.000000,0.0,38.0,38.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n757,HyperparameterHunter,HunterMcGushion/hyperparameter_hunter,,hyperopt,https://github.com/HunterMcGushion/hyperparameter_hunter,https://github.com/HunterMcGushion/hyperparameter_hunter,MIT,2018-06-01 23:17:00.000000,2021-01-20 03:52:41.000000,2021-01-20 03:52:40.000000,84,37.0,84.0,648,1096.0,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries.,4.0,16,True,2019-08-06 09:09:45.000000,3.0.0,16.0,hyperparameter-hunter,,,,,2.0,,https://pypi.org/project/hyperparameter-hunter,2019-08-06 08:52:20.000000,2.0,38.0,46.0,,,,,,,,3.0,268.0,,,,,,,,,,,,,,,,,,,,,\n758,SpeedTorch,Santosh-Gupta/SpeedTorch,,gpu-utilities,https://github.com/Santosh-Gupta/SpeedTorch,https://github.com/Santosh-Gupta/SpeedTorch,MIT,2019-09-07 18:57:52.000000,2020-02-21 23:13:29.000000,2020-02-21 23:13:28.000000,37,3.0,2.0,613,170.0,Library for faster pinned CPU - GPU transfer in Pytorch.,3.0,16,False,2020-01-06 05:27:17.000000,0.1.6,14.0,SpeedTorch,,,,['pytorch'],5.0,3.0,https://pypi.org/project/SpeedTorch,2020-01-06 05:27:17.000000,2.0,26.0,26.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n759,XAI,EthicalML/xai,,interpretability,https://github.com/EthicalML/xai,https://github.com/EthicalML/xai,MIT,2019-01-11 20:00:09.000000,2019-10-05 10:34:58.000000,2019-10-05 10:34:50.000000,87,4.0,3.0,584,83.0,XAI - An eXplainability toolbox for machine learning.,2.0,16,False,2019-04-21 14:53:12.000000,0.0.5,5.0,xai,,,,,16.0,10.0,https://pypi.org/project/xai,2019-04-21 14:53:12.000000,6.0,408.0,408.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n760,ThunderGBM,Xtra-Computing/thundergbm,,ml-frameworks,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08.000000,2021-03-03 05:54:12.000000,2021-01-05 04:22:15.000000,72,20.0,26.0,582,606.0,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,10.0,16,True,2020-05-01 23:16:25.000000,0.3.16,24.0,thundergbm,,,,,,,https://pypi.org/project/thundergbm,2020-05-01 23:16:25.000000,,40.0,40.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n761,AlphaPy,ScottfreeLLC/AlphaPy,,hyperopt,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32.000000,2021-02-08 21:35:40.000000,2021-02-08 21:35:40.000000,121,8.0,29.0,557,409.0,\"Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost.\",3.0,16,True,2020-08-29 18:48:20.000000,2.5.0,25.0,alphapy,,,,,2.0,2.0,https://pypi.org/project/alphapy,2020-08-29 18:44:15.000000,,99.0,99.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n762,Auto Tune Models,HDI-Project/ATM,,hyperopt,https://github.com/HDI-Project/ATM,https://github.com/HDI-Project/ATM,MIT,2016-10-14 18:03:00.000000,2020-02-21 17:44:07.000000,2020-02-21 17:40:58.000000,127,17.0,71.0,504,775.0,\"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).\",16.0,16,False,2019-07-30 09:28:26.000000,0.2.2,14.0,atm,,,,,6.0,6.0,https://pypi.org/project/atm,2019-07-30 09:25:11.000000,,31.0,31.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n763,DiCE,interpretml/DiCE,,interpretability,https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000000,2021-03-01 15:44:45.000000,2021-03-01 15:37:52.000000,71,13.0,19.0,474,346.0,Generate Diverse Counterfactual Explanations for any machine learning model.,10.0,16,True,2021-03-01 15:26:58.000000,0.5,3.0,dice-ml,,,,\"['tensorflow', 'pytorch']\",,,https://pypi.org/project/dice-ml,2021-03-01 15:44:45.000000,,124.0,124.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n764,lightly,lightly-ai/lightly,,image,https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000000,2021-03-04 15:19:22.000000,2021-03-01 11:49:07.000000,22,32.0,48.0,420,310.0,A python library for self-supervised learning on images.,5.0,16,True,2021-01-11 11:34:22.000000,1.0.8,11.0,lightly,,,,['pytorch'],2.0,2.0,https://pypi.org/project/lightly,2021-01-11 11:34:22.000000,0.0,111.0,111.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n765,kglib,graknlabs/kglib,,graph,https://github.com/graknlabs/kglib,https://github.com/graknlabs/kglib,Apache-2.0,2018-09-16 16:46:48.000000,2021-01-15 11:17:51.000000,2021-01-15 11:17:51.000000,74,10.0,49.0,400,487.0,Grakn Knowledge Graph Library (ML R&D).,7.0,16,True,2020-08-19 15:39:10.000000,0.2.2,7.0,grakn-kglib,,,,,,,https://pypi.org/project/grakn-kglib,2020-08-19 15:39:10.000000,,37.0,44.0,,,,,,,,3.0,206.0,,,,,,,,,,,,,,,,,,,,,\n766,pytorch_geometric_temporal,benedekrozemberczki/pytorch_geometric_temporal,,graph,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,MIT,2020-06-27 01:11:33.000000,2021-03-03 17:50:34.000000,2021-02-27 21:28:13.000000,43,1.0,16.0,369,837.0,A Temporal Extension Library for PyTorch Geometric.,3.0,16,True,2021-02-17 20:38:35.000000,_00014,13.0,torch-geometric-temporal,,,,['pytorch'],,,https://pypi.org/project/torch-geometric-temporal,2021-02-17 19:52:10.000000,,82.0,82.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n767,tfdeploy,riga/tfdeploy,,model-serialisation,https://github.com/riga/tfdeploy,https://github.com/riga/tfdeploy,BSD-3-Clause,2016-03-07 13:08:21.000000,2021-01-08 09:52:54.000000,2021-01-08 09:52:49.000000,38,10.0,23.0,346,170.0,Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.,4.0,16,True,2017-03-30 10:51:26.000000,0.4.2,22.0,tfdeploy,,,,['tensorflow'],2.0,,https://pypi.org/project/tfdeploy,2017-03-30 10:51:26.000000,2.0,58.0,58.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n768,pdvega,altair-viz/pdvega,,data-viz,https://github.com/altair-viz/pdvega,https://github.com/altair-viz/pdvega,MIT,2018-01-11 21:30:27.000000,2019-03-29 16:09:14.000000,2019-03-29 16:09:13.000000,29,16.0,10.0,340,177.0,Interactive plotting for Pandas using Vega-Lite.,9.0,16,False,,,1.0,pdvega,,,,,55.0,48.0,https://pypi.org/project/pdvega,2018-02-01 04:56:43.000000,7.0,54.0,54.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n769,Sematch,gsi-upm/sematch,,graph,https://github.com/gsi-upm/sematch,https://github.com/gsi-upm/sematch,Apache-2.0,2012-11-30 11:11:53.000000,2020-11-05 21:20:52.000000,2019-03-27 03:17:24.000000,98,14.0,19.0,339,122.0,semantic similarity framework for knowledge graph.,5.0,16,False,2017-04-17 10:56:52.000000,1.0.4,5.0,sematch,,,,,30.0,27.0,https://pypi.org/project/sematch,2017-04-17 10:56:52.000000,3.0,67.0,67.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n770,atspy,firmai/atspy,,time-series-data,https://github.com/firmai/atspy,https://github.com/firmai/atspy,MIT,2020-01-28 05:00:10.000000,2020-12-01 13:53:03.000000,2020-11-12 16:15:26.000000,64,17.0,2.0,339,97.0,AtsPy: Automated Time Series Models in Python (by @firmai).,5.0,16,True,2020-11-12 16:10:48.000000,zen,39.0,atspy,,,,,3.0,3.0,https://pypi.org/project/atspy,2020-04-24 18:16:15.000000,,328.0,328.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n771,datmo,datmo/datmo,,ml-experiments,https://github.com/datmo/datmo,https://github.com/datmo/datmo,MIT,2017-11-03 05:46:43.000000,2019-11-29 00:48:45.000000,2019-11-29 00:48:44.000000,28,42.0,149.0,334,1051.0,Open source production model management tool for data scientists.,6.0,16,False,2018-12-07 06:16:42.000000,0.0.40,41.0,datmo,,,,,5.0,5.0,https://pypi.org/project/datmo,2018-12-07 06:16:42.000000,,90.0,90.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n772,Case Recommender,caserec/CaseRecommender,,recommender-systems,https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39.000000,2020-05-26 22:44:05.000000,2020-05-26 22:44:05.000000,68,6.0,16.0,316,201.0,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems.,10.0,16,True,2019-08-20 13:48:43.000000,1.1.0,41.0,caserecommender,,,,['sklearn'],7.0,7.0,https://pypi.org/project/caserecommender,2019-08-20 13:48:43.000000,,87.0,87.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n773,LOFO,aerdem4/lofo-importance,,interpretability,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46.000000,2021-01-27 13:57:42.000000,2020-07-02 11:49:52.000000,40,1.0,10.0,308,24.0,Leave One Feature Out Importance.,3.0,16,True,2020-07-02 11:44:57.000000,0.2.6,9.0,lofo-importance,,,,,3.0,3.0,https://pypi.org/project/lofo-importance,2020-07-02 11:44:57.000000,,129.0,129.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n774,Headliner,as-ideas/headliner,,nlp,https://github.com/as-ideas/headliner,https://github.com/as-ideas/headliner,MIT,2019-09-30 11:33:28.000000,2021-01-29 12:51:10.000000,2020-02-14 09:03:27.000000,38,1.0,13.0,221,276.0,Easy training and deployment of seq2seq models.,2.0,16,False,2020-01-24 09:06:29.000000,1.0.2,30.0,headliner,,,,,4.0,3.0,https://pypi.org/project/headliner,2020-01-24 09:06:29.000000,1.0,86.0,86.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n775,skggm,skggm/skggm,,sklearn-utils,https://github.com/skggm/skggm,https://github.com/skggm/skggm,MIT,2016-06-11 18:35:56.000000,2020-12-24 08:36:00.000000,2020-12-24 05:43:15.000000,31,28.0,47.0,177,691.0,Scikit-learn compatible estimation of general graphical models.,5.0,16,True,2018-09-12 01:12:49.000000,0.2.8,6.0,skggm,,,,['sklearn'],8.0,6.0,https://pypi.org/project/skggm,2018-09-12 01:12:49.000000,2.0,72.0,72.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n776,steppy,minerva-ml/steppy,,ml-experiments,https://github.com/minerva-ml/steppy,https://github.com/minerva-ml/steppy,MIT,2018-01-15 09:40:49.000000,2018-11-23 09:49:59.000000,2018-11-23 09:47:34.000000,31,16.0,50.0,127,69.0,\"Lightweight, Python library for fast and reproducible experimentation.\",5.0,16,False,2018-11-23 09:49:59.000000,0.1.16,16.0,steppy,,,,,43.0,38.0,https://pypi.org/project/steppy,2018-11-23 09:49:59.000000,5.0,40.0,40.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n777,ipyexperiments,stas00/ipyexperiments,,gpu-utilities,https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40.000000,2021-02-13 21:37:46.000000,2021-02-13 21:37:41.000000,9,,4.0,127,191.0,jupyter/ipython experiment containers for GPU and general RAM re-use.,3.0,16,False,2021-02-13 19:44:30.000000,0.1.24,22.0,ipyexperiments,,,,['jupyter'],6.0,4.0,https://pypi.org/project/ipyexperiments,2021-02-13 19:44:30.000000,2.0,84.0,84.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n778,celer,mathurinm/celer,,sklearn-utils,https://github.com/mathurinm/celer,https://github.com/mathurinm/celer,BSD-3-Clause,2018-02-20 19:37:31.000000,2021-02-26 10:06:51.000000,2021-02-26 09:59:15.000000,20,16.0,49.0,110,215.0,\"Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.\",9.0,16,False,2020-10-12 12:26:09.000000,0.5.1,10.0,celer,,,,['sklearn'],4.0,4.0,https://pypi.org/project/celer,2020-12-09 13:19:10.000000,,39.0,39.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n779,tinygrad,geohot/tinygrad,,pytorch-utils,https://github.com/geohot/tinygrad,https://github.com/geohot/tinygrad,MIT,2020-10-18 16:23:12.000000,2021-02-17 13:45:15.000000,2021-01-31 16:31:16.000000,455,14.0,62.0,4126,511.0,You like pytorch? You like micrograd? You love tinygrad!.,43.0,15,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n780,GraphEmbedding,shenweichen/GraphEmbedding,,graph,https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20.000000,2021-02-19 15:14:27.000000,2020-10-18 09:32:47.000000,561,27.0,13.0,1812,28.0,Implementation and experiments of graph embedding algorithms.,8.0,15,True,,,,,,,,['sklearn'],7.0,7.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n781,pycls,facebookresearch/pycls,,image,https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17.000000,2021-03-04 03:33:14.000000,2021-01-14 21:14:50.000000,156,11.0,44.0,1457,72.0,\"Codebase for Image Classification Research, written in PyTorch.\",9.0,15,True,2020-04-15 19:33:22.000000,0.1,1.0,,,,,['pytorch'],3.0,3.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n782,Lambda Networks,lucidrains/lambda-networks,,pytorch-utils,https://github.com/lucidrains/lambda-networks,https://github.com/lucidrains/lambda-networks,MIT,2020-10-08 19:01:15.000000,2020-11-18 19:54:34.000000,2020-11-18 19:54:30.000000,143,11.0,15.0,1404,,\"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.\",3.0,15,True,2020-11-18 08:19:23.000000,0.4.0,11.0,lambda-networks,,,,['pytorch'],1.0,1.0,https://pypi.org/project/lambda-networks,2020-11-18 08:19:23.000000,,400.0,400.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n783,AdvBox,advboxes/AdvBox,,adversarial,https://github.com/advboxes/AdvBox,https://github.com/advboxes/AdvBox,Apache-2.0,2018-08-08 08:55:41.000000,2020-11-13 17:59:22.000000,2020-08-26 22:59:41.000000,225,6.0,28.0,1053,374.0,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,19.0,15,True,2018-12-05 02:48:50.000000,0.4.1,2.0,advbox,,,,,,,https://pypi.org/project/advbox,2018-12-05 02:48:50.000000,,16.0,16.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n784,Torch-Struct,harvardnlp/pytorch-struct,,pytorch-utils,https://github.com/harvardnlp/pytorch-struct,https://github.com/harvardnlp/pytorch-struct,MIT,2019-08-26 19:34:30.000000,2021-02-15 20:20:59.000000,2021-02-14 02:45:15.000000,71,18.0,24.0,905,261.0,\"Fast, general, and tested differentiable structured prediction in PyTorch.\",13.0,15,True,2021-02-15 20:20:59.000000,0.5,2.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n785,aim,aimhubio/aim,,ml-experiments,https://github.com/aimhubio/aim,https://github.com/aimhubio/aim,Apache-2.0,2019-05-31 18:25:07.000000,2021-03-02 17:17:47.000000,2021-02-26 10:11:25.000000,48,25.0,30.0,870,,\"Aim a super-easy way to record, search and compare 1000s of ML training runs.\",8.0,15,True,2019-11-06 08:06:11.000000,3.1.0,42.0,aim,,,,,2.0,,https://pypi.org/project/aim,2019-11-06 08:06:11.000000,2.0,655.0,655.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n786,MedicalTorch,perone/medicaltorch,,medical-data,https://github.com/perone/medicaltorch,https://github.com/perone/medicaltorch,Apache-2.0,2018-02-27 02:50:07.000000,2020-09-30 13:21:57.000000,2019-08-15 10:03:51.000000,106,14.0,9.0,710,55.0,A medical imaging framework for Pytorch.,7.0,15,False,2018-11-24 00:33:11.000000,0.2,2.0,medicaltorch,,,,['pytorch'],10.0,10.0,https://pypi.org/project/medicaltorch,2018-11-24 00:29:36.000000,,36.0,36.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n787,Translate,pytorch/translate,,nlp,https://github.com/pytorch/translate,https://github.com/pytorch/translate,BSD-3-Clause,2018-04-24 16:44:04.000000,2021-02-15 05:43:00.000000,2021-02-15 05:42:53.000000,158,66.0,27.0,681,804.0,Translate - a PyTorch Language Library.,85.0,15,True,,,1.0,pytorch-translate,,,,['pytorch'],,,https://pypi.org/project/pytorch-translate,2018-05-01 19:59:40.000000,,4.0,4.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n788,torchsde,google-research/torchsde,,pytorch-utils,https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11.000000,2021-02-26 22:00:28.000000,2021-02-26 20:35:52.000000,57,6.0,28.0,670,146.0,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,4.0,15,True,2021-01-05 18:31:38.000000,0.2.4,4.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n789,FlashTorch,MisaOgura/flashtorch,,interpretability,https://github.com/MisaOgura/flashtorch,https://github.com/MisaOgura/flashtorch,MIT,2019-03-22 13:00:57.000000,2020-12-14 23:09:26.000000,2020-05-29 14:37:29.000000,65,6.0,21.0,553,126.0,Visualization toolkit for neural networks in PyTorch! Demo --.,2.0,15,True,2020-05-29 14:39:38.000000,0.1.3,12.0,flashtorch,,,,['pytorch'],6.0,6.0,https://pypi.org/project/flashtorch,2020-05-29 14:38:32.000000,,178.0,178.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n790,cuSignal,rapidsai/cusignal,,gpu-utilities,https://github.com/rapidsai/cusignal,https://github.com/rapidsai/cusignal,Apache-2.0,2019-08-22 14:27:27.000000,2021-03-03 19:45:35.000000,2021-03-03 19:45:32.000000,60,15.0,90.0,451,,GPU accelerated signal processing.,29.0,15,True,2021-02-24 18:04:23.000000,0.18.0,5.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n791,Pywick,achaiah/pywick,,pytorch-utils,https://github.com/achaiah/pywick,https://github.com/achaiah/pywick,MIT,2019-03-25 15:42:47.000000,2021-03-01 17:17:46.000000,2021-03-01 17:17:46.000000,35,3.0,9.0,318,118.0,High-level batteries-included neural network training library for Pytorch.,4.0,15,True,2020-01-20 22:14:21.000000,0.5.6,6.0,pywick,,,,['pytorch'],2.0,2.0,https://pypi.org/project/pywick,2020-01-20 22:14:21.000000,,95.0,95.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n792,Parfit,jmcarpenter2/parfit,,hyperopt,https://github.com/jmcarpenter2/parfit,https://github.com/jmcarpenter2/parfit,MIT,2017-11-22 20:17:51.000000,2020-04-04 19:26:44.000000,2020-04-04 19:26:37.000000,25,6.0,5.0,197,127.0,\"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..\",2.0,15,True,,,23.0,parfit,,,,['sklearn'],7.0,7.0,https://pypi.org/project/parfit,2018-10-11 22:03:16.000000,,3636.0,3636.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n793,pyRDF2Vec,IBCNServices/pyRDF2Vec,,graph,https://github.com/IBCNServices/pyRDF2Vec,https://github.com/IBCNServices/pyRDF2Vec,MIT,2019-06-13 11:36:12.000000,2021-03-04 11:23:16.000000,2021-02-08 07:24:27.000000,18,4.0,23.0,89,753.0,Python Implementation and Extension of RDF2Vec.,5.0,15,False,2020-11-02 15:07:48.000000,0.1.1,7.0,pyrdf2vec,,,,,,,https://pypi.org/project/pyrdf2vec,2020-11-02 15:05:32.000000,,71.0,71.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n794,contextual-ai,SAP/contextual-ai,,interpretability,https://github.com/SAP/contextual-ai,https://github.com/SAP/contextual-ai,Apache-2.0,2020-05-12 07:15:56.000000,2021-01-25 04:56:57.000000,2021-01-25 04:03:23.000000,9,4.0,1.0,68,621.0,\"Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference -..\",10.0,15,False,2021-01-25 04:56:57.000000,0.0.2,2.0,contextual-ai,,,,,,,https://pypi.org/project/contextual-ai,2021-01-25 04:56:57.000000,,86.0,86.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n795,DE⫶TR,facebookresearch/detr,,image,https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52.000000,2021-02-19 06:34:49.000000,2020-11-15 16:03:45.000000,960,68.0,219.0,6301,41.0,End-to-End Object Detection with Transformers.,19.0,14,True,2020-06-29 16:41:01.000000,0.2,1.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n796,PySlowFast,facebookresearch/SlowFast,,image,https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26.000000,2021-02-28 19:28:20.000000,2021-02-28 19:28:14.000000,632,166.0,186.0,3386,103.0,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,19.0,14,True,,,,,,,,['pytorch'],2.0,2.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n797,OpenNRE,thunlp/OpenNRE,,nlp,https://github.com/thunlp/OpenNRE,https://github.com/thunlp/OpenNRE,MIT,2017-02-26 07:37:12.000000,2021-01-15 02:29:36.000000,2020-11-24 06:37:04.000000,864,21.0,287.0,2997,135.0,An Open-Source Package for Neural Relation Extraction (NRE).,9.0,14,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n798,Euler,alibaba/euler,,graph,https://github.com/alibaba/euler,https://github.com/alibaba/euler,Apache-2.0,2019-01-10 06:32:32.000000,2020-07-29 05:53:02.000000,2020-07-29 05:53:01.000000,506,201.0,97.0,2514,8.0,A distributed graph deep learning framework.,5.0,14,True,2020-07-07 02:24:18.000000,2.0.0,2.0,euler-gl,,,,['tensorflow'],,,https://pypi.org/project/euler-gl,2019-04-10 01:53:45.000000,,9.0,9.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n799,GraphSAGE,williamleif/GraphSAGE,,graph,https://github.com/williamleif/GraphSAGE,https://github.com/williamleif/GraphSAGE,MIT,2017-05-29 15:36:22.000000,2021-02-02 21:46:42.000000,2018-09-19 19:27:00.000000,618,85.0,58.0,2189,59.0,Representation learning on large graphs using stochastic graph convolutions.,9.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n800,ZhuSuan,thu-ml/zhusuan,,probabilistics,https://github.com/thu-ml/zhusuan,https://github.com/thu-ml/zhusuan,MIT,2016-07-18 13:31:38.000000,2020-01-09 14:51:27.000000,2019-08-05 10:00:04.000000,381,8.0,53.0,2017,439.0,\"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.\",20.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n801,OpenNE,thunlp/OpenNE,,graph,https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20.000000,2021-01-29 16:32:37.000000,2019-08-12 10:56:27.000000,441,50.0,81.0,1415,98.0,An Open-Source Package for Network Embedding (NE).,10.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n802,zenml,maiot-io/zenml,,data-pipelines,https://github.com/maiot-io/zenml,https://github.com/maiot-io/zenml,Apache-2.0,2020-11-19 09:25:46.000000,2021-03-04 13:04:40.000000,2021-02-26 15:23:44.000000,42,18.0,7.0,859,,ZenML: Bring Zen to your ML with reproducible pipelines.,7.0,14,True,2021-02-26 16:02:43.000000,0.3.3,17.0,zenml,,,,,1.0,1.0,https://pypi.org/project/zenml,2021-02-26 15:07:10.000000,,130.0,130.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n803,Anchor,marcotcr/anchor,,interpretability,https://github.com/marcotcr/anchor,https://github.com/marcotcr/anchor,BSD-2-Clause,2018-02-02 23:38:50.000000,2020-09-10 17:49:26.000000,2020-09-10 17:48:28.000000,87,11.0,46.0,624,39.0,Code for High-Precision Model-Agnostic Explanations paper.,8.0,14,True,,,8.0,anchor_exp,,,,,,,https://pypi.org/project/anchor_exp,2020-06-26 20:56:50.000000,,256.0,256.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n804,AutoGL,THUMNLab/AutoGL,,graph,https://github.com/THUMNLab/AutoGL,https://github.com/THUMNLab/AutoGL,MIT,2020-11-30 14:26:22.000000,2021-03-04 06:55:09.000000,2021-02-07 03:05:02.000000,56,5.0,2.0,584,,An autoML framework & toolkit for machine learning on graphs.,5.0,14,True,2020-12-23 08:15:15.000000,0.1.1,2.0,auto-graph-learning,,,,['pytorch'],,,https://pypi.org/project/auto-graph-learning,2020-12-23 08:05:25.000000,,22.0,22.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n805,Tez,abhishekkrthakur/tez,,pytorch-utils,https://github.com/abhishekkrthakur/tez,https://github.com/abhishekkrthakur/tez,Apache-2.0,2020-11-13 10:19:22.000000,2021-02-07 21:09:23.000000,2021-02-07 21:09:17.000000,70,10.0,7.0,570,,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,1.0,14,True,2021-01-29 07:26:14.000000,0.1.2,9.0,tez,,,,['pytorch'],,,https://pypi.org/project/tez,2021-01-29 07:26:14.000000,,558.0,558.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n806,PandaPy,firmai/pandapy,,data-containers,https://github.com/firmai/pandapy,https://github.com/firmai/pandapy,MIT,2020-01-15 18:21:23.000000,2020-11-12 16:18:45.000000,2020-11-12 16:18:44.000000,45,2.0,1.0,473,83.0,PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai).,3.0,14,True,2020-11-12 16:12:54.000000,zen,22.0,pandapy,,,,['pandas'],1.0,1.0,https://pypi.org/project/pandapy,2020-01-25 23:10:32.000000,,27.0,27.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n807,OpenRec,ylongqi/openrec,,recommender-systems,https://github.com/ylongqi/openrec,https://github.com/ylongqi/openrec,Apache-2.0,2017-11-29 16:04:40.000000,2020-11-13 17:47:17.000000,2020-02-19 07:57:17.000000,79,4.0,12.0,359,213.0,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms.,10.0,14,False,2020-02-18 06:52:11.000000,0.3.0,12.0,openrec,,,,,2.0,1.0,https://pypi.org/project/openrec,2020-02-18 06:52:11.000000,1.0,13.0,13.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n808,VizSeq,facebookresearch/vizseq,,nlp,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38.000000,2020-12-13 18:55:58.000000,2020-12-13 18:55:54.000000,39,7.0,8.0,313,43.0,\"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).\",3.0,14,True,2020-08-07 01:13:52.000000,0.1.15,16.0,vizseq,,,,,2.0,2.0,https://pypi.org/project/vizseq,2020-08-07 01:13:52.000000,,81.0,81.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n809,TransferNLP,feedly/transfer-nlp,,nlp,https://github.com/feedly/transfer-nlp,https://github.com/feedly/transfer-nlp,MIT,2019-03-12 20:00:31.000000,2020-05-28 19:00:02.000000,2020-05-28 17:31:53.000000,18,4.0,19.0,287,465.0,NLP library designed for reproducible experimentation management.,7.0,14,True,2020-05-28 19:00:02.000000,0.1.6,8.0,transfer-nlp,,,,['pytorch'],,,https://pypi.org/project/transfer-nlp,2020-05-28 19:00:02.000000,,50.0,50.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n810,data-describe,data-describe/data-describe,,data-viz,https://github.com/data-describe/data-describe,https://github.com/data-describe/data-describe,Apache-2.0,2020-05-04 17:58:14.000000,2021-03-02 19:30:46.000000,2021-03-02 19:30:45.000000,14,68.0,174.0,264,695.0,datadescribe: Pythonic EDA Accelerator for Data Science.,14.0,14,True,,,5.0,data-describe,,,,,,,https://pypi.org/project/data-describe,2020-12-03 23:07:43.000000,,73.0,73.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n811,Julius,adefossez/julius,,audio,https://github.com/adefossez/julius,https://github.com/adefossez/julius,MIT,2020-10-26 10:54:21.000000,2021-03-03 09:48:59.000000,2021-03-03 09:27:16.000000,6,1.0,3.0,176,,Fast PyTorch based DSP for audio and 1D signals.,2.0,14,True,2021-03-03 09:48:59.000000,0.2.3,7.0,julius,,,,['pytorch'],7.0,7.0,https://pypi.org/project/julius,2021-03-03 09:48:59.000000,0.0,1091.0,1091.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n812,Auptimizer,LGE-ARC-AdvancedAI/auptimizer,,hyperopt,https://github.com/LGE-ARC-AdvancedAI/auptimizer,https://github.com/LGE-ARC-AdvancedAI/auptimizer,GPL-3.0,2019-09-12 01:08:37.000000,2021-03-03 01:50:33.000000,2021-03-03 01:30:06.000000,21,1.0,4.0,163,79.0,An automatic ML model optimization tool.,11.0,14,False,2021-03-03 02:00:23.000000,2.0,7.0,auptimizer,,,,,,,https://pypi.org/project/auptimizer,2021-03-02 02:40:32.000000,,38.0,38.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n813,nx-altair,Zsailer/nx_altair,,data-viz,https://github.com/Zsailer/nx_altair,https://github.com/Zsailer/nx_altair,MIT,2018-05-13 00:10:12.000000,2020-09-30 12:01:08.000000,2020-06-02 21:10:26.000000,19,5.0,4.0,159,51.0,Draw interactive NetworkX graphs with Altair.,3.0,14,True,2020-06-02 21:11:12.000000,0.1.6,8.0,nx-altair,,,,['jupyter'],4.0,,https://pypi.org/project/nx-altair,2020-06-02 21:11:12.000000,4.0,112.0,112.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n814,ONNX-T5,abelriboulot/onnxt5,,nlp,https://github.com/abelriboulot/onnxt5,https://github.com/abelriboulot/onnxt5,Apache-2.0,2020-08-01 09:38:35.000000,2021-01-28 09:26:15.000000,2021-01-28 09:24:52.000000,19,5.0,6.0,141,74.0,\"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..\",3.0,14,False,2021-01-28 09:26:15.000000,0.1.8,11.0,onnxt5,,,,,,,https://pypi.org/project/onnxt5,2021-01-28 09:26:15.000000,,82.0,82.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n815,ModelChimp,ModelChimp/modelchimp,,ml-experiments,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03.000000,2021-03-03 23:34:15.000000,2021-02-15 13:37:13.000000,12,4.0,10.0,120,361.0,Experiment tracking for machine and deep learning projects.,3.0,14,False,2019-04-09 10:43:15.000000,0.4.0,37.0,modelchimp,,modelchimp/modelchimp-server,,,,,https://pypi.org/project/modelchimp,2019-04-09 10:41:20.000000,,63.0,85.0,,,,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,635.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n816,DeepNeuro,QTIM-Lab/DeepNeuro,,medical-data,https://github.com/QTIM-Lab/DeepNeuro,https://github.com/QTIM-Lab/DeepNeuro,MIT,2017-06-01 19:36:34.000000,2020-06-24 13:00:15.000000,2020-06-24 13:00:14.000000,31,27.0,16.0,98,285.0,A deep learning python package for neuroimaging data. Made by:.,6.0,14,False,2019-06-10 21:04:04.000000,0.2.3,6.0,deepneuro,,,,,1.0,1.0,https://pypi.org/project/deepneuro,2019-06-10 21:04:04.000000,,26.0,26.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n817,StarSpace,facebookresearch/StarSpace,,ml-frameworks,https://github.com/facebookresearch/StarSpace,https://github.com/facebookresearch/StarSpace,MIT,2017-06-28 17:50:18.000000,2020-05-18 03:40:57.000000,2019-12-13 19:03:25.000000,494,50.0,146.0,3555,138.0,\"Learning embeddings for classification, retrieval and ranking.\",17.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n818,OpenKE,thunlp/OpenKE,,graph,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,MIT,2017-10-08 11:20:23.000000,2020-04-08 11:00:38.000000,2020-04-08 11:00:32.000000,743,54.0,223.0,2420,97.0,An Open-Source Package for Knowledge Embedding (KE).,10.0,13,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n819,ENAS,carpedm20/ENAS-pytorch,,hyperopt,https://github.com/carpedm20/ENAS-pytorch,https://github.com/carpedm20/ENAS-pytorch,Apache-2.0,2018-02-15 04:54:37.000000,2020-12-09 18:13:03.000000,2020-06-16 07:23:32.000000,447,37.0,7.0,2391,53.0,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,6.0,13,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n820,GraphVite,DeepGraphLearning/graphvite,,graph,https://github.com/DeepGraphLearning/graphvite,https://github.com/DeepGraphLearning/graphvite,Apache-2.0,2019-07-16 15:48:20.000000,2021-01-14 02:19:03.000000,2021-01-14 02:18:46.000000,118,26.0,55.0,855,15.0,GraphVite: A General and High-performance Graph Embedding System.,1.0,13,True,,,4.0,,milagraph/graphvite,,,,,,,,,,187.0,https://anaconda.org/milagraph/graphvite,2020-03-19 18:21:30.972000,3554.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n821,NeoML,neoml-lib/neoml,,ml-frameworks,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000000,2021-03-04 14:23:34.000000,2021-03-04 13:38:36.000000,82,16.0,13.0,566,242.0,Machine learning framework for both deep learning and traditional algorithms.,18.0,13,True,2020-06-14 17:44:03.000000,NeoML-master_1.0.1.0,1.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n822,Adversary,airbnb/artificial-adversary,,adversarial,https://github.com/airbnb/artificial-adversary,https://github.com/airbnb/artificial-adversary,MIT,2018-08-08 04:42:11.000000,2018-10-14 05:34:44.000000,2018-08-29 15:31:30.000000,48,7.0,,347,15.0,Tool to generate adversarial text examples and test machine learning models against them.,5.0,13,False,2018-08-29 15:14:41.000000,1.1.1,3.0,Adversary,,,,,6.0,6.0,https://pypi.org/project/Adversary,2018-08-29 15:14:41.000000,,20.0,20.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n823,NeuralQA,victordibia/neuralqa,,nlp,https://github.com/victordibia/neuralqa,https://github.com/victordibia/neuralqa,MIT,2020-05-19 03:55:56.000000,2020-12-16 17:42:12.000000,2020-12-16 17:41:37.000000,24,21.0,8.0,185,312.0,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,3.0,13,True,,,27.0,neuralqa,,,,,2.0,2.0,https://pypi.org/project/neuralqa,2020-09-18 17:54:50.000000,,18.0,18.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n824,textvec,textvec/textvec,,nlp,https://github.com/textvec/textvec,https://github.com/textvec/textvec,MIT,2018-04-12 14:03:53.000000,2020-12-03 14:23:11.000000,2020-12-03 14:23:04.000000,21,2.0,6.0,166,70.0,Text vectorization tool to outperform TFIDF for classification tasks.,5.0,13,True,2019-09-12 07:41:04.000000,2.0,4.0,textvec,,,,['sklearn'],2.0,2.0,https://pypi.org/project/textvec,2020-12-03 14:17:09.000000,,46.0,46.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n825,Hypermax,electricbrainio/hypermax,,hyperopt,https://github.com/electricbrainio/hypermax,https://github.com/electricbrainio/hypermax,BSD-3-Clause,2018-07-27 18:43:01.000000,2020-08-02 18:08:50.000000,2020-08-02 18:08:46.000000,15,3.0,1.0,95,207.0,\"Better, faster hyper-parameter optimization.\",9.0,13,False,2019-10-23 15:40:12.000000,0.5.1,11.0,hypermax,,,,,4.0,4.0,https://pypi.org/project/hypermax,2019-10-23 15:40:12.000000,,19.0,19.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n826,nptsne,biovault/nptsne,,data-viz,https://github.com/biovault/nptsne,https://github.com/biovault/nptsne,Apache-2.0,2019-06-28 08:40:25.000000,2021-02-18 16:50:29.000000,2021-02-03 08:52:27.000000,2,6.0,5.0,25,857.0,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,3.0,13,False,2020-09-10 23:54:14.000000,1.1.0,2.0,nptsne,,,,,2.0,2.0,https://pypi.org/project/nptsne,2020-09-10 23:54:14.000000,,32.0,32.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n827,micrograd,karpathy/micrograd,,pytorch-utils,https://github.com/karpathy/micrograd,https://github.com/karpathy/micrograd,MIT,2020-04-13 04:31:18.000000,2020-12-18 12:55:50.000000,2020-04-18 19:15:25.000000,118,2.0,3.0,1603,24.0,A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.,2.0,12,True,2020-04-18 19:06:59.000000,0.1.0,1.0,micrograd,,,,['pytorch'],1.0,1.0,https://pypi.org/project/micrograd,2020-04-18 19:06:59.000000,0.0,14.0,14.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n828,surpriver,tradytics/surpriver,,financial-data,https://github.com/tradytics/surpriver,https://github.com/tradytics/surpriver,GPL-3.0,2020-08-30 07:56:22.000000,2020-11-13 00:48:16.000000,2020-09-21 04:32:05.000000,203,9.0,4.0,1125,64.0,Find big moving stocks before they move using machine learning and anomaly detection.,6.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n829,Medical Detection Toolkit,MIC-DKFZ/medicaldetectiontoolkit,,medical-data,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,Apache-2.0,2018-10-12 12:34:57.000000,2020-10-14 11:17:37.000000,2020-04-18 12:52:08.000000,234,27.0,85.0,910,36.0,\"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..\",3.0,12,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n830,Attribution Priors,suinleelab/attributionpriors,,interpretability,https://github.com/suinleelab/attributionpriors,https://github.com/suinleelab/attributionpriors,MIT,2019-06-24 23:54:24.000000,2021-02-22 01:55:26.000000,2021-02-22 01:55:22.000000,4,1.0,3.0,74,71.0,Tools for training explainable models using attribution priors.,6.0,12,False,2019-10-31 18:03:05.000000,0.1.3,4.0,attributionpriors,,,,\"['tensorflow', 'pytorch']\",2.0,2.0,https://pypi.org/project/attributionpriors,2019-10-31 18:03:05.000000,,15.0,15.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n831,featurewiz,AutoViML/featurewiz,,hyperopt,https://github.com/AutoViML/featurewiz,https://github.com/AutoViML/featurewiz,Apache-2.0,2020-11-29 16:46:16.000000,2021-02-20 23:22:34.000000,2021-02-20 23:19:52.000000,15,,,40,,Use advanced feature engineering strategies and select the best features from your data set fast with a single line of..,1.0,12,False,2021-02-20 23:22:34.000000,0.0.18,18.0,featurewiz,,,,,,,https://pypi.org/project/featurewiz,2021-02-20 23:22:34.000000,,169.0,169.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n832,LazyCluster,ml-tooling/lazycluster,,distributed-ml,https://github.com/ml-tooling/lazycluster,https://github.com/ml-tooling/lazycluster,Apache-2.0,2019-08-07 08:05:13.000000,2021-02-10 02:39:55.000000,2020-12-14 15:24:53.000000,6,,,33,,Distributed machine learning made simple.,2.0,12,False,2020-12-14 15:25:59.000000,0.2.4,5.0,lazycluster,,,,,2.0,2.0,https://pypi.org/project/lazycluster,2020-12-14 14:49:33.000000,,41.0,41.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n833,MedicalNet,Tencent/MedicalNet,,medical-data,https://github.com/Tencent/MedicalNet,https://github.com/Tencent/MedicalNet,MIT,2019-07-17 09:53:10.000000,2020-08-27 13:37:27.000000,2020-08-27 13:37:26.000000,286,43.0,14.0,1061,26.0,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,1.0,11,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n834,Devol,joeddav/devol,,hyperopt,https://github.com/joeddav/devol,https://github.com/joeddav/devol,MIT,2017-02-10 03:07:54.000000,2020-07-05 21:56:59.000000,2020-07-05 21:56:58.000000,109,7.0,20.0,924,116.0,Genetic neural architecture search with Keras.,18.0,11,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n835,PySparNN,facebookresearch/pysparnn,,nn-search,https://github.com/facebookresearch/pysparnn,https://github.com/facebookresearch/pysparnn,BSD-3-Clause,2016-03-28 20:43:42.000000,2020-10-02 06:01:01.000000,2018-01-31 16:50:23.000000,141,11.0,14.0,854,147.0,Approximate Nearest Neighbor Search for Sparse Data in Python!.,5.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n836,bias-detector,intuit/bias-detector,,interpretability,https://github.com/intuit/bias-detector,https://github.com/intuit/bias-detector,MIT,2021-02-02 16:58:52.000000,2021-02-14 12:06:08.000000,2021-02-14 12:06:02.000000,4,,,17,,Bias Detector is a python package for detecting bias in machine learning models.,3.0,11,False,2021-02-09 11:20:10.000000,0.0.11,10.0,bias-detector,,,,,,,https://pypi.org/project/bias-detector,2021-02-09 11:20:10.000000,,148.0,148.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n837,traingenerator,jrieke/traingenerator,,others,https://github.com/jrieke/traingenerator,https://github.com/jrieke/traingenerator,MIT,2020-12-03 16:47:16.000000,2021-03-03 18:43:40.000000,2021-01-20 23:05:06.000000,121,9.0,3.0,933,,A web app to generate template code for machine learning.,3.0,10,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n838,Mozart,aashrafh/Mozart,,ocr,https://github.com/aashrafh/Mozart,https://github.com/aashrafh/Mozart,Apache-2.0,2020-12-14 11:49:14.000000,2021-02-11 08:19:14.000000,2021-01-14 17:13:58.000000,36,1.0,1.0,236,,An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.,5.0,10,True,,,,,,,,['sklearn'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n839,Hypertunity,gdikov/hypertunity,,hyperopt,https://github.com/gdikov/hypertunity,https://github.com/gdikov/hypertunity,Apache-2.0,2019-06-02 12:04:55.000000,2020-01-26 23:14:49.000000,2020-01-26 22:53:29.000000,9,,2.0,119,64.0,A toolset for black-box hyperparameter optimisation.,2.0,10,False,2020-01-26 23:08:16.000000,1.0.1,7.0,hypertunity,,,,,2.0,2.0,https://pypi.org/project/hypertunity,2020-01-26 23:08:16.000000,,12.0,12.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n840,traintool,jrieke/traintool,,ml-experiments,https://github.com/jrieke/traintool,https://github.com/jrieke/traintool,Apache-2.0,2020-09-30 22:23:05.000000,2020-11-18 02:51:43.000000,2020-11-18 02:50:52.000000,1,,,9,120.0,Train off-the-shelf machine learning models in one line of code.,,10,False,2020-11-02 02:25:32.000000,0.0.3,3.0,traintool,,,,\"['pytorch', 'tensorflow', 'sklearn']\",,,https://pypi.org/project/traintool,2020-11-02 02:25:32.000000,,16.0,16.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n"
  },
  {
    "path": "history/2021-03-11_changes.md",
    "content": "## 📈 Trending Up\n\n_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._\n\n- <b><a href=\"https://github.com/celery/celery\">Celery</a></b> (🥇39 ·  ⭐ 17K · 📈) - Asynchronous task queue/job queue based on distributed message passing. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/apache/airflow\">Airflow</a></b> (🥇36 ·  ⭐ 21K · 📈) - Platform to programmatically author, schedule, and monitor.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/pyproj4/pyproj\">pyproj</a></b> (🥈31 ·  ⭐ 580 · 📈) - Python interface to PROJ (cartographic projections and coordinate.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/jiaaro/pydub\">Pydub</a></b> (🥇30 ·  ⭐ 5.2K · 📈) - Manipulate audio with a simple and easy high level interface. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/rusty1s/pytorch_geometric\">PyTorch Geometric</a></b> (🥇29 ·  ⭐ 10K · 📈) - Geometric Deep Learning Extension Library for PyTorch. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/pytorch/audio\">torchaudio</a></b> (🥈29 ·  ⭐ 1.3K · 📈) - Data manipulation and transformation for audio signal.. <code><a href=\"http://bit.ly/3rqEWVr\">BSD-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/rwightman/pytorch-image-models\">PyTorch Image Models</a></b> (🥈28 ·  ⭐ 7.9K · 📈) - PyTorch image models, scripts, pretrained weights --.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/snorkel-team/snorkel\">snorkel</a></b> (🥉28 ·  ⭐ 4.5K · 📈) - A system for quickly generating training data with weak.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/jupyter-widgets/ipyleaflet\">ipyleaflet</a></b> (🥉28 ·  ⭐ 1.1K · 📈) - A Jupyter - Leaflet.js bridge. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/JasonKessler/scattertext\">scattertext</a></b> (🥉24 ·  ⭐ 1.5K · 📈) - Beautiful visualizations of how language differs among.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n\n## 📉 Trending Down\n\n_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._\n\n- <b><a href=\"https://github.com/networkx/networkx\">networkx</a></b> (🥇33 ·  ⭐ 8.8K · 📉) - Network Analysis in Python. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/dask/dask\">dask</a></b> (🥇32 ·  ⭐ 8K · 📉) - Parallel computing with task scheduling. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/dask/distributed\">dask.distributed</a></b> (🥇31 ·  ⭐ 1.2K · 📉) - A distributed task scheduler for Dask. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/pytorch/text\">torchtext</a></b> (🥈29 ·  ⭐ 2.7K · 📉) - Data loaders and abstractions for text and NLP. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/openai/baselines\">baselines</a></b> (🥇27 ·  ⭐ 11K · 💀) - OpenAI Baselines: high-quality implementations of reinforcement.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/tensorpack/tensorpack\">tensorpack</a></b> (🥉27 ·  ⭐ 6K · 📉) - A Neural Net Training Interface on TensorFlow, with focus.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/stanfordnlp/stanza\">stanza</a></b> (🥈25 ·  ⭐ 5.3K · 📉) - Official Stanford NLP Python Library for Many Human Languages. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/inducer/pycuda\">PyCUDA</a></b> (🥈25 ·  ⭐ 1.1K · 📉) - CUDA integration for Python, plus shiny features. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/inducer/pyopencl\">pyopencl</a></b> (🥈24 ·  ⭐ 790 · 📉) - OpenCL integration for Python, plus shiny features. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/DerwenAI/pytextrank\">PyTextRank</a></b> (🥉22 ·  ⭐ 1.5K · 📉) - Python implementation of TextRank for phrase extraction and.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n\n"
  },
  {
    "path": "history/2021-03-11_projects.csv",
    "content": ",name,github_id,resource,category,github_url,homepage,license,created_at,updated_at,last_commit_pushed_at,fork_count,open_issue_count,closed_issue_count,star_count,commit_count,description,contributor_count,projectrank,show,latest_stable_release_published_at,latest_stable_release_number,release_count,pypi_id,conda_id,dockerhub_id,docs_url,labels,dependent_project_count,github_dependent_project_count,pypi_url,pypi_latest_release_published_at,pypi_dependent_project_count,pypi_monthly_downloads,monthly_downloads,conda_url,conda_latest_release_published_at,conda_total_downloads,dockerhub_url,dockerhub_latest_release_published_at,dockerhub_stars,dockerhub_pulls,projectrank_placing,github_release_downloads,trending,helm_id,npm_id,npm_url,npm_latest_release_published_at,npm_dependent_project_count,npm_monthly_downloads,conda_dependent_project_count,brew_id,apt_id,yum_id,updated_github_id,snap_id,maven_id,maven_url,maven_latest_release_published_at,maven_dependent_project_count,dnf_id,yay_id,gitlab_id,gitlab_url\n0,ANN Benchmarks,erikbern/ann-benchmarks,True,nn-search,https://github.com/erikbern/ann-benchmarks,https://github.com/erikbern/ann-benchmarks,MIT,2015-05-28 13:21:43.000000,2021-03-01 06:54:56.000000,2021-02-03 11:59:35.000000,328,26.0,59.0,2095,1173.0,Benchmarks of approximate nearest neighbor libraries in Python.,53.0,0,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n1,best-of-web-python - Web Scraping,ml-tooling/best-of-web-python,True,web-scraping,https://github.com/ml-tooling/best-of-web-python,https://github.com/ml-tooling/best-of-web-python,CC-BY-SA-4.0,2021-01-05 13:09:27.000000,2021-03-11 15:25:25.000000,2021-03-07 12:30:22.000000,65,,2.0,1092,,Collection of web-scraping and crawling libraries.,6.0,0,True,2021-03-07 12:30:35.000000,2021.03.04,10.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n2,best-of-python - DB Clients,ml-tooling/best-of-python,True,db-clients,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#database-clients,CC-BY-SA-4.0,2021-01-11 19:11:32.000000,2021-03-11 14:52:48.000000,2021-03-07 12:29:30.000000,95,1.0,2.0,1493,,Collection of database clients for python.,5.0,0,True,2021-03-07 12:29:47.000000,2021.03.04,9.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n3,Tensorflow,tensorflow/tensorflow,,ml-frameworks,https://github.com/tensorflow/tensorflow,https://github.com/tensorflow/tensorflow,Apache-2.0,2015-11-07 01:19:20.000000,2021-03-11 13:40:09.122034,2021-03-11 13:34:14.000000,84185,4032.0,26790.0,155786,106461.0,An Open Source Machine Learning Framework for Everyone.,3562.0,44,True,2021-01-21 19:55:54.000000,2.4.1,116.0,tensorflow,conda-forge/tensorflow,tensorflow/tensorflow,https://www.tensorflow.org/overview,['tensorflow'],148302.0,125778.0,https://pypi.org/project/tensorflow,2021-01-21 19:38:00.000000,22524.0,4048936.0,4847730.0,https://anaconda.org/conda-forge/tensorflow,2020-07-15 22:30:18.070000,2372942.0,https://hub.docker.com/r/tensorflow/tensorflow,2021-03-11 13:40:09.122034,1862.0,48591734.0,1.0,,,,,,,,,,,,,,,,,,,,,,\n4,Matplotlib,matplotlib/matplotlib,,data-viz,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,Python-2.0,2011-02-19 03:17:12.000000,2021-03-11 11:49:37.000000,2021-03-11 00:20:18.000000,5680,1700.0,6055.0,13269,38116.0,matplotlib: plotting with Python.,1219.0,41,True,2021-01-28 08:54:50.000000,3.3.4,65.0,matplotlib,conda-forge/matplotlib,,,,416181.0,337077.0,https://pypi.org/project/matplotlib,2021-03-11 05:40:38.000000,79104.0,6766998.0,6893733.0,https://anaconda.org/conda-forge/matplotlib,2021-01-28 20:05:11.672000,8364510.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n5,pandas,pandas-dev/pandas,,data-containers,https://github.com/pandas-dev/pandas,https://github.com/pandas-dev/pandas,BSD-3-Clause,2010-08-24 01:37:33.000000,2021-03-11 14:10:39.000000,2021-03-11 13:47:14.000000,12039,3692.0,16617.0,28787,26187.0,\"Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R..\",2627.0,40,True,2021-03-02 12:03:23.000000,1.2.3,89.0,pandas,conda-forge/pandas,,,['pandas'],76784.0,,https://pypi.org/project/pandas,2021-02-09 13:20:50.000000,76784.0,18529209.0,18783276.0,https://anaconda.org/conda-forge/pandas,2021-03-02 16:53:17.820000,14669317.0,,,,,1.0,98747.0,,,,,,,,,,,,,,,,,,,,,\n6,scipy,scipy/scipy,,others,https://github.com/scipy/scipy,https://github.com/scipy/scipy,BSD-3-Clause,2011-03-09 18:52:03.000000,2021-03-11 10:19:27.000000,2021-03-09 21:18:01.000000,3578,1593.0,5772.0,7993,25153.0,\"Ecosystem of open-source software for mathematics, science, and engineering.\",1137.0,40,True,2021-02-18 03:16:09.000000,1.6.1,61.0,scipy,conda-forge/scipy,,,,399858.0,312996.0,https://pypi.org/project/scipy,2021-02-18 02:35:14.000000,86862.0,10144739.0,10374156.0,https://anaconda.org/conda-forge/scipy,2021-02-05 14:18:57.636000,13042952.0,,,,,1.0,308715.0,,,,,,,,,,,,,,,,,,,,,\n7,PyTorch,pytorch/pytorch,,ml-frameworks,https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41.000000,2021-03-11 14:15:46.000000,2021-03-11 11:27:37.000000,12400,8135.0,13227.0,46797,34316.0,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,2538.0,39,True,2021-03-04 20:44:39.000000,1.8.0,31.0,torch,pytorch/pytorch,,https://pytorch.org/docs/stable/index.html,['pytorch'],72463.0,65781.0,https://pypi.org/project/torch,2021-03-04 17:05:59.000000,6682.0,1379843.0,1640305.0,https://anaconda.org/pytorch/pytorch,2021-03-04 16:52:59.287000,10418519.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n8,Celery,celery/celery,,data-pipelines,https://github.com/celery/celery,https://github.com/celery/celery,BSD-3-Clause,2009-04-24 11:31:24.000000,2021-03-11 11:59:09.000000,2021-03-10 11:46:56.000000,3957,491.0,3955.0,16854,11542.0,Asynchronous task queue/job queue based on distributed message passing.,1098.0,39,True,2020-12-16 15:41:18.000000,5.0.5,171.0,celery,conda-forge/celery,,,,78105.0,49871.0,https://pypi.org/project/celery,2020-12-16 15:34:09.000000,28234.0,1816763.0,1823773.0,https://anaconda.org/conda-forge/celery,2021-02-08 18:58:32.032000,420602.0,,,,,1.0,,1.0,,,,,,,,,,,,,,,,,,,,\n9,Pillow,python-pillow/Pillow,,image,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000000,2021-03-11 11:34:18.000000,2021-03-11 11:34:17.000000,1592,251.0,1906.0,8283,11280.0,The friendly PIL fork (Python Imaging Library).,349.0,39,True,2021-03-06 05:23:45.000000,8.1.2,79.0,Pillow,conda-forge/pillow,,,,528080.0,416654.0,https://pypi.org/project/Pillow,2021-03-06 05:22:31.000000,111426.0,10711356.0,10838235.0,https://anaconda.org/conda-forge/pillow,2021-03-08 23:16:48.454000,7485909.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n10,PySpark,apache/spark,,ml-frameworks,https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08.000000,2021-03-11 13:44:32.000000,2021-03-11 13:29:45.000000,23455,221.0,,29039,29529.0,Apache Spark Python API.,2415.0,38,True,2021-02-19 18:08:00.000000,3.0.2,22.0,pyspark,conda-forge/pyspark,,,['spark'],1332.0,572.0,https://pypi.org/project/pyspark,2021-02-19 18:08:00.000000,760.0,4222431.0,4241857.0,https://anaconda.org/conda-forge/pyspark,2021-03-04 09:44:05.675000,932487.0,,,,,1.0,,,stable/spark,,,,,,,,,,,,,,,,,,,\n11,numpy,numpy/numpy,,data-containers,https://github.com/numpy/numpy,https://github.com/numpy/numpy,BSD-3-Clause,2010-09-13 23:02:39.000000,2021-03-11 13:57:32.000000,2021-03-11 11:07:28.000000,5329,2271.0,7375.0,16508,,The fundamental package for scientific computing with Python.,1268.0,38,True,2021-02-07 21:07:19.000000,1.20.1,96.0,numpy,conda-forge/numpy,,,,815314.0,645592.0,https://pypi.org/project/numpy,2021-02-07 20:27:20.000000,169722.0,28110039.0,28410966.0,https://anaconda.org/conda-forge/numpy,2021-02-10 11:44:00.243000,17101238.0,,,,,1.0,316132.0,,,,,,,,,,,,,,,,,,,,,\n12,scikit-learn,scikit-learn/scikit-learn,,ml-frameworks,https://github.com/scikit-learn/scikit-learn,https://github.com/scikit-learn/scikit-learn,BSD-3-Clause,2010-08-17 09:43:38.000000,2021-03-11 14:16:45.000000,2021-03-11 14:16:45.000000,21170,2358.0,6747.0,44818,,scikit-learn: machine learning in Python.,2170.0,37,True,2021-01-19 18:10:37.000000,0.24.1,53.0,scikit-learn,conda-forge/scikit-learn,,,['sklearn'],236482.0,198594.0,https://pypi.org/project/scikit-learn,2021-01-19 18:06:50.000000,37888.0,7647047.0,7773090.0,https://anaconda.org/conda-forge/scikit-learn,2021-01-21 23:33:46.354000,7309893.0,,,,,1.0,662.0,,,,,,,,,,,,,,,,,,,,,\n13,spaCy,explosion/spaCy,,nlp,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000000,2021-03-11 13:42:03.785000,2021-03-10 10:10:53.000000,3328,113.0,4353.0,19823,14351.0,Industrial-strength Natural Language Processing (NLP) in Python.,568.0,37,True,2021-03-10 11:32:29.000000,3.0.5,176.0,spacy,conda-forge/spacy,,,,25388.0,22322.0,https://pypi.org/project/spacy,2021-03-10 11:33:30.000000,3066.0,807131.0,837521.0,https://anaconda.org/conda-forge/spacy,2021-03-11 13:42:03.785000,1486369.0,,,,,1.0,2980.0,,,,,,,,,,,,,,,,,,,,,\n14,Seaborn,mwaskom/seaborn,,data-viz,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000000,2021-03-06 22:26:36.000000,2021-03-06 22:26:32.000000,1383,91.0,1701.0,8200,2760.0,Statistical data visualization using matplotlib.,149.0,37,True,2020-12-20 20:53:25.000000,0.11.1,23.0,seaborn,conda-forge/seaborn,,,,97528.0,84742.0,https://pypi.org/project/seaborn,2020-12-20 20:53:25.000000,12786.0,1789811.0,1827833.0,https://anaconda.org/conda-forge/seaborn,2021-01-28 11:50:33.609000,2091191.0,,,,,1.0,148.0,,,,,,,,,,,,,,,,,,,,,\n15,transformers,huggingface/transformers,,nlp,https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000000,2021-03-11 14:22:07.000000,2021-03-11 14:00:23.000000,10164,537.0,5707.0,42106,6724.0,Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.,800.0,36,True,2021-02-24 20:16:39.000000,4.3.3,52.0,transformers,conda-forge/transformers,,,\"['pytorch', 'tensorflow']\",8543.0,8415.0,https://pypi.org/project/transformers,2021-02-24 20:14:46.000000,128.0,604246.0,605811.0,https://anaconda.org/conda-forge/transformers,2021-03-09 15:54:36.566000,25843.0,,,,,1.0,1263.0,,,,,,,,,,,,,,,,,,,,,\n16,Airflow,apache/airflow,,data-pipelines,https://github.com/apache/airflow,https://github.com/apache/airflow,Apache-2.0,2015-04-13 18:04:58.000000,2021-03-11 15:09:39.000000,2021-03-11 13:33:29.000000,8125,985.0,2122.0,20948,11862.0,\"Platform to programmatically author, schedule, and monitor workflows.\",1786.0,36,True,2021-02-08 22:50:02.000000,2.0.1,71.0,apache-airflow,conda-forge/airflow,apache/airflow,,,294.0,,https://pypi.org/project/apache-airflow,2021-02-08 22:43:55.000000,294.0,580030.0,739062.0,https://anaconda.org/conda-forge/airflow,2021-02-16 09:49:35.732000,285974.0,https://hub.docker.com/r/apache/airflow,2021-03-10 22:56:00.095244,222.0,10744599.0,1.0,99429.0,1.0,stable/airflow,,,,,,,,,,,,,,,,,,,\n17,Faker,joke2k/faker,,data-loading,https://github.com/joke2k/faker,https://github.com/joke2k/faker,MIT,2012-11-12 23:00:09.000000,2021-03-10 04:54:44.416000,2021-03-09 23:36:02.000000,1390,136.0,355.0,12217,2588.0,Faker is a Python package that generates fake data for you.,394.0,36,True,2021-03-09 23:36:34.000000,6.6.0,127.0,Faker,conda-forge/faker,,,,28890.0,24178.0,https://pypi.org/project/Faker,2021-03-08 16:52:12.000000,4712.0,1534654.0,1542736.0,https://anaconda.org/conda-forge/faker,2021-03-10 04:54:44.416000,387965.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n18,torchvision,pytorch/vision,,image,https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000000,2021-03-11 13:58:38.000000,2021-03-11 11:07:54.000000,4391,459.0,1165.0,8553,1551.0,\"Datasets, Transforms and Models specific to Computer Vision.\",368.0,36,True,2021-03-04 20:54:36.000000,0.9.0,22.0,torchvision,conda-forge/torchvision,,,['pytorch'],48149.0,43537.0,https://pypi.org/project/torchvision,2021-03-04 20:42:10.000000,4612.0,481232.0,482106.0,https://anaconda.org/conda-forge/torchvision,2018-10-14 22:06:28.203000,34116.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n19,SymPy,sympy/sympy,,others,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000000,2021-03-11 15:16:13.000000,2021-03-08 10:33:19.000000,3308,4053.0,7150.0,7892,46250.0,A computer algebra system written in pure Python.,1041.0,36,True,2020-12-12 23:23:00.000000,1.7.1,36.0,sympy,conda-forge/sympy,,,,35986.0,29564.0,https://pypi.org/project/sympy,2020-12-12 23:23:00.000000,6422.0,448563.0,476117.0,https://anaconda.org/conda-forge/sympy,2021-01-08 20:38:32.429000,1335043.0,,,,,1.0,417442.0,,,,,,,,,,,,,,,,,,,,,\n20,StatsModels,statsmodels/statsmodels,,ml-frameworks,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000000,2021-03-11 00:02:36.000000,2021-03-11 00:02:35.000000,2186,2120.0,2266.0,6094,13611.0,Statsmodels: statistical modeling and econometrics in Python.,304.0,36,True,2021-02-02 11:08:49.000000,0.12.2,25.0,statsmodels,conda-forge/statsmodels,,,,45200.0,38544.0,https://pypi.org/project/statsmodels,2021-02-02 11:08:49.000000,6656.0,1583183.0,1645065.0,https://anaconda.org/conda-forge/statsmodels,2021-02-15 17:38:00.380000,3527322.0,,,,,1.0,25.0,,,,,,,,,,,,,,,,,,,,,\n21,Tensorboard,tensorflow/tensorboard,,ml-experiments,https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000000,2021-03-11 02:16:54.000000,2021-03-11 02:16:52.000000,1365,538.0,944.0,5187,4341.0,TensorFlow's Visualization Toolkit.,253.0,36,True,2021-01-14 20:49:19.000000,2.4.1,36.0,tensorboard,conda-forge/tensorboard,,,['tensorflow'],60120.0,56506.0,https://pypi.org/project/tensorboard,2021-01-14 20:49:19.000000,3614.0,3807652.0,3851693.0,https://anaconda.org/conda-forge/tensorboard,2021-01-15 08:30:57.960000,1761660.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n22,h5py,h5py/h5py,,data-containers,https://github.com/h5py/h5py,https://github.com/h5py/h5py,BSD-3-Clause,2012-09-21 00:40:02.000000,2021-03-10 20:00:37.000000,2021-03-05 10:01:58.000000,399,217.0,968.0,1492,3588.0,HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.,160.0,36,True,2021-03-05 10:04:46.000000,3.2.1,27.0,h5py,conda-forge/h5py,,,,128212.0,105276.0,https://pypi.org/project/h5py,2021-03-05 10:24:13.000000,22936.0,3688666.0,3767831.0,https://anaconda.org/conda-forge/h5py,2021-01-01 10:48:16.133000,4748842.0,,,,,1.0,907.0,,,,,,,,,,,,,,,,,,,,,\n23,Keras,keras-team/keras,,ml-frameworks,https://github.com/keras-team/keras,https://github.com/keras-team/keras,MIT,2015-03-28 00:35:42.000000,2021-03-11 03:00:48.000000,2021-03-11 03:00:41.000000,18729,3223.0,7239.0,50849,5432.0,Deep Learning for humans.,902.0,35,True,2020-06-24 22:40:48.000000,2.4.3,53.0,keras,conda-forge/keras,,https://keras.io,['tensorflow'],14996.0,,https://pypi.org/project/keras,2020-06-24 22:40:48.000000,14996.0,1362287.0,1389427.0,https://anaconda.org/conda-forge/keras,2020-06-25 19:13:34.254000,1492704.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n24,OpenAI Gym,openai/gym,,reinforcement-learning,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16.000000,2021-03-11 10:38:28.000000,2021-02-16 19:31:40.000000,6742,264.0,1064.0,23649,1242.0,A toolkit for developing and comparing reinforcement learning algorithms.,273.0,35,True,2020-12-19 00:29:36.000000,0.18.0,92.0,gym,,,,,22028.0,18466.0,https://pypi.org/project/gym,2020-12-19 00:29:36.000000,3562.0,186646.0,186646.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n25,XGBoost,dmlc/xgboost,,ml-frameworks,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000000,2021-03-11 09:57:01.000000,2021-03-09 22:53:05.000000,7922,278.0,3687.0,20672,5245.0,\"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..\",507.0,35,True,2021-01-20 13:52:38.000000,1.3.3,53.0,xgboost,conda-forge/xgboost,,https://xgboost.readthedocs.io/en/latest/,,16132.0,14540.0,https://pypi.org/project/xgboost,2021-01-20 13:39:06.000000,1592.0,1976366.0,2006180.0,https://anaconda.org/conda-forge/xgboost,2021-03-09 14:27:32.491000,1430013.0,,,,,1.0,1955.0,,,,,,,,,,,,,,,,,,,,,\n26,LightGBM,microsoft/LightGBM,,ml-frameworks,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000000,2021-03-11 02:30:14.000000,2021-03-11 02:30:11.000000,3227,109.0,2051.0,12267,2387.0,\"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..\",211.0,35,True,2020-12-08 03:00:35.000000,3.1.1,24.0,lightgbm,conda-forge/lightgbm,,,,6503.0,5947.0,https://pypi.org/project/lightgbm,2020-12-08 03:00:35.000000,556.0,1085528.0,1099326.0,https://anaconda.org/conda-forge/lightgbm,2021-02-23 19:15:02.093000,514110.0,,,,,1.0,99379.0,,,,,,,,,,,,,,,,,,,,,\n27,gensim,RaRe-Technologies/gensim,,nlp,https://github.com/RaRe-Technologies/gensim,https://github.com/RaRe-Technologies/gensim,LGPL-2.1,2011-02-10 07:43:04.000000,2021-03-10 22:41:23.000000,2021-03-09 01:37:01.000000,3924,355.0,1265.0,11797,3849.0,Topic Modelling for Humans.,389.0,35,True,2020-05-04 05:55:15.000000,3.8.3,83.0,gensim,conda-forge/gensim,,,,26177.0,21435.0,https://pypi.org/project/gensim,2020-11-15 12:53:37.000000,4742.0,6124376.0,6138972.0,https://anaconda.org/conda-forge/gensim,2020-05-14 08:28:35.604000,610897.0,,,,,1.0,3302.0,,,,,,,,,,,,,,,,,,,,,\n28,Plotly,plotly/plotly.py,,data-viz,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000000,2021-03-09 12:09:44.000000,2021-01-14 02:04:12.000000,1753,818.0,1057.0,9054,4923.0,The interactive graphing library for Python (includes Plotly Express).,162.0,35,True,2021-01-12 17:01:21.000000,4.14.3,265.0,plotly,conda-forge/plotly,,,,4991.0,5.0,https://pypi.org/project/plotly,2021-01-12 16:12:40.000000,4982.0,2122915.0,2391316.0,https://anaconda.org/conda-forge/plotly,2021-01-12 17:11:42.117000,1248998.0,,,,,1.0,,,,plotlywidget,https://www.npmjs.com/package/plotlywidget,2021-01-12 16:09:46.133000,4.0,245692.0,,,,,,,,,,,,,,\n29,Arrow,apache/arrow,,data-containers,https://github.com/apache/arrow,https://github.com/apache/arrow,Apache-2.0,2016-02-17 08:00:23.000000,2021-03-11 15:02:35.000000,2021-03-10 23:28:23.000000,1824,133.0,567.0,7503,8714.0,Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-..,640.0,35,True,2021-01-26 01:05:45.000000,3.0.0,30.0,pyarrow,conda-forge/arrow,,,,1020.0,34.0,https://pypi.org/project/pyarrow,2021-01-26 01:05:45.000000,986.0,12126699.0,12135216.0,https://anaconda.org/conda-forge/arrow,2021-03-07 23:47:25.555000,493997.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n30,joblib,joblib/joblib,,data-pipelines,https://github.com/joblib/joblib,https://github.com/joblib/joblib,BSD-3-Clause,2010-05-07 06:48:26.000000,2021-02-09 20:01:33.000000,2021-02-09 16:47:12.000000,286,291.0,354.0,2368,1367.0,Computing with Python functions.,98.0,35,True,2021-02-09 16:46:29.000000,1.0.1,100.0,joblib,conda-forge/joblib,,,,93271.0,86661.0,https://pypi.org/project/joblib,2021-02-09 16:46:29.000000,6610.0,12181351.0,12243574.0,https://anaconda.org/conda-forge/joblib,2021-02-09 19:26:28.194000,3484517.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n31,MXNet,apache/incubator-mxnet,,ml-frameworks,https://github.com/apache/incubator-mxnet,https://github.com/apache/incubator-mxnet,Apache-2.0,2015-04-30 16:21:15.000000,2021-03-11 11:32:39.000000,2021-03-10 22:45:53.000000,6806,1827.0,7583.0,19324,11536.0,\"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..\",950.0,34,True,2021-03-03 01:00:20.000000,1.8.0,977.0,mxnet,mxnet,,,['mxnet'],2308.0,1864.0,https://pypi.org/project/mxnet,2021-02-07 21:07:57.000000,444.0,103288.0,103845.0,https://anaconda.org/anaconda/mxnet,2020-02-29 00:58:31.007000,5871.0,,,,,2.0,23608.0,,,,,,,,0.0,,,,,,,,,,,,,\n32,dash,plotly/dash,,data-viz,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000000,2021-03-11 04:49:18.000000,2021-03-10 16:09:10.000000,1438,411.0,562.0,14099,3543.0,\"Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.\",74.0,34,True,2021-01-20 00:00:50.000000,1.19.0,137.0,dash,conda-forge/dash,,,,19777.0,18169.0,https://pypi.org/project/dash,2021-01-19 23:50:28.000000,1608.0,168958.0,175569.0,https://anaconda.org/conda-forge/dash,2021-01-21 16:17:38.594000,224801.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n33,shap,slundberg/shap,,interpretability,https://github.com/slundberg/shap,https://github.com/slundberg/shap,MIT,2016-11-22 19:17:08.000000,2021-03-10 15:35:58.000000,2021-03-04 22:26:19.000000,1717,974.0,510.0,11982,1926.0,A game theoretic approach to explain the output of any machine learning model.,155.0,34,True,2021-03-03 18:38:33.000000,0.39.0,93.0,shap,conda-forge/shap,,,,2267.0,2131.0,https://pypi.org/project/shap,2021-01-15 21:02:34.000000,136.0,867891.0,881074.0,https://anaconda.org/conda-forge/shap,2020-12-16 19:26:39.477000,408701.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n34,nltk,nltk/nltk,,nlp,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58.000000,2021-03-11 13:16:33.000000,2021-03-11 13:16:33.000000,2448,241.0,1225.0,9695,,Suite of libraries and programs for symbolic and statistical natural language processing for English.,387.0,34,True,2019-08-20 10:55:21.000000,3.4.5,39.0,nltk,conda-forge/nltk,,,,112780.0,91788.0,https://pypi.org/project/nltk,2020-04-12 23:46:10.000000,20992.0,3650271.0,3661770.0,https://anaconda.org/conda-forge/nltk,2019-08-08 17:07:46.504000,632473.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n35,Theano,Theano/Theano,,ml-frameworks,https://github.com/Theano/Theano,https://github.com/Theano/Theano,BSD-3-Clause,2011-08-10 03:48:06.000000,2021-03-02 07:51:50.000000,2021-03-02 07:51:50.000000,2501,674.0,2083.0,9370,28124.0,\"Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-..\",383.0,34,True,2020-07-27 16:13:54.000000,1.0.5,45.0,theano,conda-forge/theano,,,,15877.0,10403.0,https://pypi.org/project/theano,2020-07-27 16:13:54.000000,5474.0,119151.0,143344.0,https://anaconda.org/conda-forge/theano,2021-01-21 21:14:21.756000,1354818.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n36,xlrd,python-excel/xlrd,,data-loading,https://github.com/python-excel/xlrd,https://github.com/python-excel/xlrd,BSD-3-Clause,2012-03-07 04:50:48.000000,2021-01-09 20:35:27.639000,2020-12-12 15:24:25.000000,406,3.0,,1869,502.0,Please use openpyxl where you can...,50.0,34,True,2020-12-11 10:14:20.000000,2.0.1,24.0,xlrd,conda-forge/xlrd,,,,79354.0,65780.0,https://pypi.org/project/xlrd,2020-12-11 10:14:20.000000,13574.0,3831292.0,3857484.0,https://anaconda.org/conda-forge/xlrd,2021-01-09 20:35:27.639000,1257255.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n37,PyFlink,apache/flink,,ml-frameworks,https://github.com/apache/flink,https://github.com/apache/flink,Apache-2.0,2014-06-07 07:00:10.000000,2021-03-11 14:16:42.000000,2021-03-11 14:07:04.000000,8655,499.0,,15709,26002.0,Apache Flink Python API.,1212.0,33,True,2021-01-15 01:51:44.000000,1.12.1,13.0,apache-flink,,,,,264.0,264.0,https://pypi.org/project/apache-flink,2021-01-15 01:51:44.000000,0.0,1459.0,1459.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n38,Bokeh,bokeh/bokeh,,data-viz,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000000,2021-03-11 13:42:29.000000,2021-03-10 00:57:20.000000,3669,655.0,5802.0,14820,,\"Interactive Data Visualization in the browser, from Python.\",550.0,33,True,2021-02-24 19:44:29.000000,2.3.0,90.0,bokeh,conda-forge/bokeh,,,,37026.0,31154.0,https://pypi.org/project/bokeh,2021-02-24 19:44:29.000000,5872.0,537644.0,621396.0,https://anaconda.org/conda-forge/bokeh,2021-03-01 11:07:11.701000,3936386.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n39,pytorch-lightning,PyTorchLightning/pytorch-lightning,,ml-frameworks,https://github.com/PyTorchLightning/pytorch-lightning,https://github.com/PyTorchLightning/pytorch-lightning,Apache-2.0,2019-03-31 00:45:57.000000,2021-03-11 13:57:33.000000,2021-03-11 11:19:48.000000,1444,312.0,2737.0,12472,4535.0,\"The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.\",407.0,33,True,2021-03-09 17:28:37.000000,1.2.3,156.0,pytorch-lightning,conda-forge/pytorch-lightning,,,['pytorch'],2168.0,2154.0,https://pypi.org/project/pytorch-lightning,2021-03-05 15:23:55.000000,14.0,96265.0,103284.0,https://anaconda.org/conda-forge/pytorch-lightning,2021-03-10 09:33:22.825000,63108.0,,,,,2.0,152.0,,,,,,,,,,,,,,,,,,,,,\n40,onnx,onnx/onnx,,model-serialisation,https://github.com/onnx/onnx,https://github.com/onnx/onnx,Apache-2.0,2017-09-07 04:53:45.000000,2021-03-11 11:08:21.822000,2021-03-10 06:32:45.000000,1838,521.0,971.0,9888,1690.0,Open standard for machine learning interoperability.,192.0,33,True,2021-01-30 01:25:24.000000,1.8.1,20.0,onnx,conda-forge/onnx,,,,2954.0,2658.0,https://pypi.org/project/onnx,2021-01-29 23:57:20.000000,296.0,242236.0,247497.0,https://anaconda.org/conda-forge/onnx,2021-03-11 11:08:21.822000,199968.0,,,,,1.0,10762.0,,,,,,,,,,,,,,,,,,,,,\n41,networkx,networkx/networkx,,graph,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44.000000,2021-03-11 07:17:36.000000,2021-03-09 05:19:46.000000,2233,274.0,2321.0,8759,,Network Analysis in Python.,501.0,33,True,2020-08-22 20:10:33.000000,networkx-2.5,52.0,networkx,conda-forge/networkx,,,,89456.0,68638.0,https://pypi.org/project/networkx,2020-08-22 20:38:37.000000,20818.0,4191962.0,4251690.0,https://anaconda.org/conda-forge/networkx,2020-08-23 19:29:02.065000,3165627.0,,,,,1.0,51.0,-3.0,,,,,,,,,,,,,,,,,,,,\n42,pydeck,visgl/deck.gl,,geospatial-data,https://github.com/visgl/deck.gl,https://github.com/visgl/deck.gl,MIT,2015-12-15 08:38:29.000000,2021-03-11 06:58:43.000000,2021-03-11 06:58:40.000000,1520,85.0,1995.0,8506,3588.0,WebGL2 powered geospatial visualization layers.,156.0,33,True,2021-02-25 21:59:29.561000,8.4.9,459.0,pydeck,conda-forge/pydeck,,,['jupyter'],2019.0,1457.0,https://pypi.org/project/pydeck,2021-02-12 18:57:45.000000,2.0,94305.0,295819.0,https://anaconda.org/conda-forge/pydeck,2021-02-12 20:05:23.366000,18334.0,,,,,1.0,,,,deck.gl,https://www.npmjs.com/package/deck.gl,2021-02-25 22:12:06.416000,560.0,200104.0,,,,,,,,,,,,,,\n43,rq,rq/rq,,data-pipelines,https://github.com/rq/rq,https://github.com/rq/rq,BSD-3-Clause,2011-11-14 10:53:48.000000,2021-03-10 21:01:41.000000,2021-02-24 11:33:58.000000,1192,139.0,685.0,7574,1555.0,Simple job queues for Python.,228.0,33,True,2020-11-29 09:48:18.000000,1.7.0,63.0,rq,conda-forge/rq,,,,10774.0,7450.0,https://pypi.org/project/rq,2020-11-29 09:47:08.000000,3324.0,212582.0,213413.0,https://anaconda.org/conda-forge/rq,2020-11-29 15:11:15.371000,46541.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n44,scikit-image,scikit-image/scikit-image,,image,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,BSD-2-Clause,2011-07-07 22:07:20.000000,2021-03-11 13:05:20.000000,2021-03-11 13:05:20.000000,1776,674.0,1496.0,4233,,Image processing in Python.,483.0,33,True,2021-01-19 08:17:34.000000,0.18.1,35.0,scikit-image,conda-forge/scikit-image,,,,77451.0,62677.0,https://pypi.org/project/scikit-image,2020-12-23 06:36:46.000000,14774.0,1170926.0,1209558.0,https://anaconda.org/conda-forge/scikit-image,2021-01-21 20:53:16.554000,2240668.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n45,Fastai,fastai/fastai,,ml-frameworks,https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000000,2021-03-11 07:41:53.000000,2021-03-07 21:19:00.000000,6947,83.0,1325.0,20547,1683.0,The fastai deep learning library.,472.0,32,True,2021-02-22 04:01:24.000000,2.2.7,117.0,fastai,,,,['pytorch'],368.0,,https://pypi.org/project/fastai,2021-02-21 04:12:12.000000,368.0,113928.0,113928.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n46,Ray,ray-project/ray,,distributed-ml,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000000,2021-03-11 15:00:59.000000,2021-03-11 06:47:28.000000,2442,1371.0,4884.0,15155,7484.0,\"An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged..\",449.0,32,True,2021-02-13 01:42:06.000000,ray-1.2.0,44.0,ray,,,,,1872.0,1712.0,https://pypi.org/project/ray,2021-02-13 01:38:33.000000,160.0,145856.0,145856.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n47,luigi,spotify/luigi,,data-pipelines,https://github.com/spotify/luigi,https://github.com/spotify/luigi,Apache-2.0,2012-09-20 15:06:38.000000,2021-03-11 13:31:26.000000,2021-02-23 17:07:44.000000,2234,71.0,840.0,14305,3948.0,\"Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution,..\",551.0,32,True,2020-09-23 11:57:43.000000,3.0.2,72.0,luigi,luigi,,,,2026.0,1350.0,https://pypi.org/project/luigi,2020-09-23 11:57:12.000000,676.0,319458.0,319567.0,https://anaconda.org/anaconda/luigi,2021-02-20 16:21:48.759000,6709.0,,,,,2.0,,,stable/luigi,,,,,,,,,,,,,,,,,,,\n48,jax,google/jax,,ml-frameworks,https://github.com/google/jax,https://github.com/google/jax,Apache-2.0,2018-10-25 21:25:02.000000,2021-03-11 10:57:46.000000,2021-03-11 07:19:44.000000,1039,769.0,1482.0,11811,7223.0,\"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.\",263.0,32,True,2021-03-05 18:24:29.000000,0.2.10,89.0,jax,conda-forge/jaxlib,,,,1266.0,1220.0,https://pypi.org/project/jax,2021-03-05 18:24:29.000000,46.0,69583.0,73902.0,https://anaconda.org/conda-forge/jaxlib,2021-03-10 06:02:02.585000,86387.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n49,dlib,davisking/dlib,,ml-frameworks,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000000,2021-03-08 03:59:53.000000,2021-03-08 03:59:53.000000,2876,47.0,1824.0,9960,7919.0,A toolkit for making real world machine learning and data analysis applications in C++.,164.0,32,False,2020-12-04 19:23:04.000000,19.21.1,28.0,dlib,conda-forge/dlib,,,,10035.0,8677.0,https://pypi.org/project/dlib,2020-12-04 19:23:04.000000,1358.0,40753.0,46298.0,https://anaconda.org/conda-forge/dlib,2021-01-14 21:24:20.585000,280416.0,,,,,2.0,24413.0,,,,,,,,,,,,,,,,,,,,,\n50,AllenNLP,allenai/allennlp,,nlp,https://github.com/allenai/allennlp,https://github.com/allenai/allennlp,Apache-2.0,2017-05-15 15:52:41.000000,2021-03-11 01:42:05.000000,2021-03-10 21:47:22.000000,1992,111.0,2183.0,9755,2357.0,\"An open-source NLP research library, built on PyTorch.\",234.0,32,True,2021-03-01 23:30:13.000000,1.5.0,175.0,allennlp,,,,['pytorch'],1721.0,1487.0,https://pypi.org/project/allennlp,2021-02-24 21:30:54.000000,234.0,13219.0,13219.0,,,,,,,,1.0,36.0,,,,,,,,,,,,,,,,,,,,,\n51,mlflow,mlflow/mlflow,,ml-experiments,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000000,2021-03-11 00:24:37.000000,2021-03-11 00:24:37.000000,1914,729.0,1054.0,8560,1923.0,Open source platform for the machine learning lifecycle.,284.0,32,True,2021-03-02 01:00:55.000000,1.14.1,42.0,mlflow,conda-forge/mlflow,,,,154.0,,https://pypi.org/project/mlflow,2021-03-01 23:55:56.000000,154.0,1954057.0,1964558.0,https://anaconda.org/conda-forge/mlflow,2021-03-02 11:17:56.478000,241525.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n52,dask,dask/dask,,distributed-ml,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000000,2021-03-11 14:53:32.000000,2021-03-11 13:58:36.000000,1238,759.0,2874.0,8040,,Parallel computing with task scheduling.,432.0,32,True,2021-03-05 23:40:58.000000,2021.3.0,113.0,dask,conda-forge/dask,,,,29722.0,25806.0,https://pypi.org/project/dask,2021-03-05 23:40:58.000000,3916.0,1530050.0,1583146.0,https://anaconda.org/conda-forge/dask,2021-03-06 06:32:30.735000,3079571.0,,,,,1.0,,-3.0,stable/dask,,,,,,,,,,,,,,,,,,,\n53,PyMC3,pymc-devs/pymc3,,probabilistics,https://github.com/pymc-devs/pymc3,https://github.com/pymc-devs/pymc3,Apache-2.0,2009-05-05 09:43:50.000000,2021-03-11 06:28:48.000000,2021-03-10 15:47:04.000000,1346,151.0,2014.0,5613,7682.0,Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano.,309.0,32,True,2021-02-12 18:40:12.000000,3.11.1,32.0,pymc3,conda-forge/pymc3,,,,2431.0,2145.0,https://pypi.org/project/pymc3,2021-02-12 18:40:12.000000,286.0,93632.0,98453.0,https://anaconda.org/conda-forge/pymc3,2021-02-14 13:44:24.828000,255493.0,,,,,1.0,150.0,,,,,,,,,,,,,,,,,,,,,\n54,folium,python-visualization/folium,,geospatial-data,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000000,2021-03-09 08:57:05.000000,2021-03-09 08:53:19.000000,1923,154.0,691.0,5183,1474.0,Python Data. Leaflet.js Maps.,121.0,32,True,2021-01-18 17:29:40.000000,0.12.1,25.0,folium,conda-forge/folium,,,,9837.0,8869.0,https://pypi.org/project/folium,2021-01-18 17:29:40.000000,968.0,160884.0,166485.0,https://anaconda.org/conda-forge/folium,2021-01-06 21:06:10.173000,336092.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n55,Beam,apache/beam,,data-pipelines,https://github.com/apache/beam,https://github.com/apache/beam,Apache-2.0,2016-02-02 08:00:06.000000,2021-03-11 12:45:37.000000,2021-03-11 11:27:00.000000,2895,140.0,,4642,31018.0,\"Unified programming model to define and execute data processing pipelines, including ETL, batch and stream processing.\",1022.0,32,True,2021-02-22 21:19:14.000000,2.28.0,30.0,apache-beam,,,,,186.0,,https://pypi.org/project/apache-beam,2021-01-08 20:08:17.000000,186.0,1157300.0,1157300.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n56,xmltodict,martinblech/xmltodict,,data-loading,https://github.com/martinblech/xmltodict,https://github.com/martinblech/xmltodict,MIT,2012-04-17 14:38:21.000000,2021-02-08 17:46:25.000000,2020-04-26 05:15:03.000000,418,70.0,135.0,4301,205.0,Python module that makes working with XML feel like you are working with JSON.,41.0,32,True,2019-02-11 07:00:26.000000,0.12.0,27.0,xmltodict,conda-forge/xmltodict,,,,30507.0,22273.0,https://pypi.org/project/xmltodict,2019-02-11 07:00:26.000000,8234.0,3380138.0,3393324.0,https://anaconda.org/conda-forge/xmltodict,2019-02-11 11:53:14.803000,725255.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n57,geopy,geopy/geopy,,geospatial-data,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000000,2021-02-20 06:25:44.000000,2020-12-27 16:15:28.000000,535,25.0,213.0,3243,1004.0,Geocoding library for Python.,117.0,32,True,2020-12-27 13:15:23.000000,2.1.0,57.0,geopy,conda-forge/geopy,,,,24713.0,17469.0,https://pypi.org/project/geopy,2020-12-27 13:12:21.000000,7244.0,2644534.0,2653199.0,https://anaconda.org/conda-forge/geopy,2020-12-27 14:22:55.127000,519908.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n58,tensorflow-hub,tensorflow/hub,,tensorflow-utils,https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42.000000,2021-03-11 09:40:00.000000,2021-03-11 09:39:58.000000,1461,45.0,522.0,2752,853.0,A library for transfer learning by reusing parts of TensorFlow models.,69.0,32,True,2021-01-06 16:20:30.000000,0.11.0,14.0,tensorflow-hub,conda-forge/tensorflow-hub,,,['tensorflow'],5970.0,5656.0,https://pypi.org/project/tensorflow-hub,2021-01-06 16:20:30.000000,314.0,612511.0,614029.0,https://anaconda.org/conda-forge/tensorflow-hub,2020-08-24 16:43:36.561000,50115.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n59,TensorFlow Datasets,tensorflow/datasets,,data-loading,https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000000,2021-03-10 21:03:40.000000,2021-03-10 21:03:31.000000,955,396.0,549.0,2701,3840.0,\"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...\",191.0,32,True,2021-01-07 09:50:58.000000,4.2.0,21.0,tensorflow-datasets,,,,['tensorflow'],3986.0,3884.0,https://pypi.org/project/tensorflow-datasets,2021-01-07 09:50:58.000000,102.0,374063.0,374063.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n60,Thinc,explosion/thinc,,ml-frameworks,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59.000000,2021-03-11 09:08:45.723000,2021-03-09 12:00:12.000000,197,12.0,90.0,2220,4913.0,\"A refreshing functional take on deep learning, compatible with your favorite libraries.\",36.0,32,True,2021-03-09 14:57:52.000000,8.0.2,189.0,thinc,conda-forge/thinc,,,,12800.0,11662.0,https://pypi.org/project/thinc,2021-03-09 12:42:58.000000,1138.0,733080.0,751739.0,https://anaconda.org/conda-forge/thinc,2021-03-11 09:08:45.723000,914323.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n61,Shapely,Toblerity/Shapely,,geospatial-data,https://github.com/Toblerity/Shapely,https://github.com/Toblerity/Shapely,BSD-3-Clause,2011-12-31 19:43:11.000000,2021-03-07 06:33:12.000000,2021-03-03 21:49:44.000000,388,118.0,607.0,2175,1499.0,Manipulation and analysis of geometric objects.,109.0,32,True,2020-08-20 23:31:01.000000,1.7.1,100.0,shapely,conda-forge/shapely,,,,22312.0,16854.0,https://pypi.org/project/shapely,2021-03-04 00:27:13.000000,5458.0,1632646.0,1665610.0,https://anaconda.org/conda-forge/shapely,2021-03-05 11:50:12.482000,2142672.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n62,xarray,pydata/xarray,,data-containers,https://github.com/pydata/xarray,https://github.com/pydata/xarray,Apache-2.0,2013-09-30 17:21:10.000000,2021-03-11 09:21:43.000000,2021-03-10 12:59:40.000000,638,783.0,1945.0,1969,3558.0,N-D labeled arrays and datasets in Python.,300.0,32,True,2021-02-26 06:45:07.000000,0.17.0,56.0,xarray,conda-forge/xarray,,,,6529.0,5397.0,https://pypi.org/project/xarray,2021-02-26 06:36:47.000000,1132.0,219845.0,262029.0,https://anaconda.org/conda-forge/xarray,2021-02-26 13:38:06.610000,2531079.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n63,python-magic,ahupp/python-magic,,data-loading,https://github.com/ahupp/python-magic,https://github.com/ahupp/python-magic,MIT,2010-03-31 22:40:33.000000,2021-03-05 04:33:25.716000,2021-02-17 04:01:28.000000,218,28.0,132.0,1844,279.0,A python wrapper for libmagic.,49.0,32,True,2021-02-17 06:19:13.000000,0.4.22,22.0,python-magic,conda-forge/python-magic,,,,17588.0,12456.0,https://pypi.org/project/python-magic,2021-02-17 06:19:13.000000,5132.0,1135399.0,1137086.0,https://anaconda.org/conda-forge/python-magic,2021-03-05 04:33:25.716000,79295.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n64,DeepSpeech,mozilla/DeepSpeech,,audio,https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53.000000,2021-03-04 15:57:54.000000,2021-03-04 15:57:31.000000,3094,102.0,1852.0,16749,3368.0,\"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..\",158.0,31,True,2020-12-10 17:22:09.000000,0.9.3,100.0,deepspeech,,,,['tensorflow'],476.0,418.0,https://pypi.org/project/deepspeech,2020-12-19 10:05:12.000000,58.0,6648.0,22064.0,,,,,,,,1.0,462488.0,,,,,,,,,,,,,,,,,,,,,\n65,fairseq,pytorch/fairseq,,nlp,https://github.com/pytorch/fairseq,https://github.com/pytorch/fairseq,MIT,2017-08-29 16:26:12.000000,2021-03-11 04:34:22.000000,2021-03-11 04:34:15.000000,2929,694.0,1832.0,11466,1824.0,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,315.0,31,True,2021-01-05 20:26:45.000000,0.10.2,13.0,fairseq,,,,['pytorch'],338.0,318.0,https://pypi.org/project/fairseq,2021-01-05 20:26:45.000000,20.0,10396.0,10399.0,,,,,,,,1.0,106.0,,,,,,,,,,,,,,,,,,,,,\n66,tensor2tensor,tensorflow/tensor2tensor,,tensorflow-utils,https://github.com/tensorflow/tensor2tensor,https://github.com/tensorflow/tensor2tensor,Apache-2.0,2017-06-15 16:57:39.000000,2021-03-05 08:15:36.000000,2021-03-05 08:15:30.000000,2831,554.0,664.0,11028,4348.0,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,231.0,31,True,2020-06-17 16:15:36.000000,1.15.7,79.0,tensor2tensor,,,,['tensorflow'],1089.0,925.0,https://pypi.org/project/tensor2tensor,2020-06-17 16:15:36.000000,164.0,33881.0,33881.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n67,ChatterBot,gunthercox/ChatterBot,,nlp,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00.000000,2021-02-22 16:29:16.000000,2020-08-20 21:16:14.000000,3700,246.0,1227.0,10930,1847.0,\"ChatterBot is a machine learning, conversational dialog engine for creating chat bots.\",103.0,31,True,2020-08-22 18:42:43.000000,1.0.8,86.0,chatterbot,,,,,3904.0,3224.0,https://pypi.org/project/chatterbot,2020-08-22 18:40:36.000000,680.0,25358.0,25358.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n68,imgaug,aleju/imgaug,,image,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33.000000,2020-10-19 12:23:22.000000,2020-06-01 14:58:26.000000,1964,221.0,207.0,10793,2913.0,Image augmentation for machine learning experiments.,36.0,31,True,2020-02-06 06:18:40.000000,0.4.0,11.0,imgaug,conda-forge/imgaug,,,,6098.0,5542.0,https://pypi.org/project/imgaug,2020-02-05 20:54:22.000000,556.0,96541.0,98208.0,https://anaconda.org/conda-forge/imgaug,2020-02-14 16:06:53.525000,35021.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n69,pyecharts,pyecharts/pyecharts,,data-viz,https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000000,2021-02-08 07:14:13.000000,2021-01-19 10:14:13.000000,2368,29.0,1358.0,10676,1512.0,Python Echarts Plotting Library.,30.0,31,True,2020-10-29 15:14:08.000000,1.9.0,66.0,pyecharts,,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,['jupyter'],1796.0,1514.0,https://pypi.org/project/pyecharts,2020-10-29 15:14:08.000000,282.0,13309.0,13309.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n70,wordcloud,amueller/word_cloud,,data-viz,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59.000000,2021-03-01 23:14:14.000000,2021-03-01 23:14:14.000000,2025,97.0,349.0,7933,543.0,A little word cloud generator in Python.,61.0,31,True,2020-11-11 21:41:02.000000,1.8.1,16.0,wordcloud,conda-forge/wordcloud,,,,10459.0,9355.0,https://pypi.org/project/wordcloud,2020-11-11 21:41:02.000000,1104.0,179396.0,182934.0,https://anaconda.org/conda-forge/wordcloud,2021-01-14 18:03:24.960000,194601.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n71,Altair,altair-viz/altair,,data-viz,https://github.com/altair-viz/altair,https://github.com/altair-viz/altair,BSD-3-Clause,2015-09-19 03:14:04.000000,2021-02-24 22:24:08.000000,2021-02-24 21:20:32.000000,580,292.0,1306.0,6475,3063.0,Declarative statistical visualization library for Python.,126.0,31,True,2020-04-01 13:29:16.000000,4.1.0,26.0,altair,conda-forge/altair,,,,9169.0,8799.0,https://pypi.org/project/altair,2020-04-01 13:23:10.000000,370.0,464814.0,476296.0,https://anaconda.org/conda-forge/altair,2020-04-01 16:49:36.519000,643041.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n72,Catboost,catboost/catboost,,ml-frameworks,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000000,2021-03-11 12:15:51.000000,2021-03-11 12:15:48.000000,861,319.0,1063.0,5751,15165.0,\"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..\",747.0,31,True,2020-12-27 09:12:53.000000,0.24.4,91.0,catboost,conda-forge/catboost,,,,162.0,,https://pypi.org/project/catboost,2020-12-27 06:58:33.000000,162.0,789276.0,808169.0,https://anaconda.org/conda-forge/catboost,2020-12-29 11:38:06.128000,601257.0,,,,,2.0,50788.0,,,,,,,,,,,,,,,,,,,,,\n73,Chainer,chainer/chainer,,ml-frameworks,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37.000000,2021-02-17 11:20:21.000000,2021-02-17 11:20:21.000000,1370,18.0,2019.0,5536,30575.0,A flexible framework of neural networks for deep learning.,318.0,31,True,2021-01-13 10:14:54.000000,7.0.0.post1,109.0,chainer,,,,,2689.0,1947.0,https://pypi.org/project/chainer,2021-01-13 09:29:55.000000,742.0,12109.0,12109.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n74,imbalanced-learn,scikit-learn-contrib/imbalanced-learn,,sklearn-utils,https://github.com/scikit-learn-contrib/imbalanced-learn,https://github.com/scikit-learn-contrib/imbalanced-learn,MIT,2014-08-16 05:08:26.000000,2021-03-02 21:30:35.000000,2021-03-02 21:30:35.000000,1075,32.0,421.0,5088,736.0,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,55.0,31,True,2021-02-18 14:00:33.000000,0.8.0,27.0,imbalanced-learn,conda-forge/imbalanced-learn,,,['sklearn'],4648.0,4368.0,https://pypi.org/project/imbalanced-learn,2021-02-18 13:50:00.000000,280.0,619706.0,622469.0,https://anaconda.org/conda-forge/imbalanced-learn,2021-02-18 15:40:00.937000,113301.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n75,CuPy,cupy/cupy,,gpu-utilities,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000000,2021-03-11 10:54:19.000000,2021-03-11 01:25:22.000000,440,338.0,944.0,4888,21105.0,A NumPy-compatible array library accelerated by CUDA.,257.0,31,True,2021-02-26 07:53:12.000000,8.5.0,89.0,cupy,conda-forge/cupy,cupy/cupy,,,869.0,677.0,https://pypi.org/project/cupy,2021-02-26 07:06:23.000000,192.0,24112.0,50533.0,https://anaconda.org/conda-forge/cupy,2021-03-01 21:41:15.959000,429748.0,https://hub.docker.com/r/cupy/cupy,2021-03-11 01:33:39.355793,6.0,48939.0,1.0,9894.0,,,,,,,,,,,,,,,,,,,,,\n76,sentencepiece,google/sentencepiece,,nlp,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000000,2021-02-26 03:20:40.000000,2021-02-25 16:25:37.000000,657,31.0,400.0,4866,667.0,Unsupervised text tokenizer for Neural Network-based text generation.,50.0,31,True,2021-01-10 06:29:42.000000,0.1.95,30.0,sentencepiece,conda-forge/sentencepiece,,,,6494.0,6254.0,https://pypi.org/project/sentencepiece,2021-01-10 06:29:42.000000,240.0,742901.0,747688.0,https://anaconda.org/conda-forge/sentencepiece,2021-02-09 05:49:50.247000,35372.0,,,,,1.0,11361.0,,,,,,,,,,,,,,,,,,,,,\n77,Optuna,optuna/optuna,,hyperopt,https://github.com/optuna/optuna,https://github.com/optuna/optuna,MIT,2018-02-21 06:12:56.000000,2021-03-11 14:25:54.000000,2021-03-11 00:43:32.000000,475,198.0,548.0,4247,9403.0,A hyperparameter optimization framework.,130.0,31,True,2021-03-08 06:45:10.000000,2.6.0,36.0,optuna,conda-forge/optuna,,,,1101.0,1049.0,https://pypi.org/project/optuna,2021-03-08 06:45:10.000000,52.0,182104.0,183365.0,https://anaconda.org/conda-forge/optuna,2021-03-09 02:43:25.559000,20180.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n78,Tablib,jazzband/tablib,,data-loading,https://github.com/jazzband/tablib,https://github.com/jazzband/tablib,MIT,2011-03-28 02:36:50.000000,2021-03-01 12:38:44.000000,2021-03-01 12:38:44.000000,560,34.0,198.0,3877,1124.0,\"Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c.\",111.0,31,True,2020-12-05 14:56:28.000000,3.0.0,38.0,tablib,conda-forge/tablib,,,,11932.0,9574.0,https://pypi.org/project/tablib,2020-12-05 14:56:28.000000,2358.0,423372.0,424492.0,https://anaconda.org/conda-forge/tablib,2020-12-05 16:40:48.469000,58291.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n79,tensorflow-probability,tensorflow/probability,,probabilistics,https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000000,2021-03-11 13:58:06.000000,2021-03-11 13:58:03.000000,853,432.0,555.0,3252,10339.0,Probabilistic reasoning and statistical analysis in TensorFlow.,405.0,31,True,2020-12-29 18:40:25.000000,0.12.1,35.0,tensorflow-probability,conda-forge/tensorflow-probability,,,['tensorflow'],253.0,1.0,https://pypi.org/project/tensorflow-probability,2020-12-29 17:46:08.000000,252.0,233643.0,234911.0,https://anaconda.org/conda-forge/tensorflow-probability,2021-02-10 20:08:40.633000,31702.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n80,GeoPandas,geopandas/geopandas,,geospatial-data,https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000000,2021-03-07 19:52:02.000000,2021-03-05 18:00:55.000000,560,302.0,708.0,2506,1369.0,Python tools for geographic data.,135.0,31,True,2021-02-28 21:10:46.000000,0.9.0,37.0,geopandas,conda-forge/geopandas,,,['pandas'],8674.0,7508.0,https://pypi.org/project/geopandas,2021-02-28 21:10:43.000000,1166.0,399334.0,414152.0,https://anaconda.org/conda-forge/geopandas,2021-03-01 09:07:56.799000,888128.0,,,,,2.0,933.0,,,,,,,,,,,,,,,,,,,,,\n81,numexpr,pydata/numexpr,,data-containers,https://github.com/pydata/numexpr,https://github.com/pydata/numexpr,MIT,2013-11-30 22:33:48.000000,2021-03-05 20:56:41.232000,2021-03-03 18:33:11.000000,166,51.0,251.0,1554,686.0,\"Fast numerical array expression evaluator for Python, NumPy, PyTables, pandas, bcolz and more.\",57.0,31,True,2021-03-03 18:13:19.000000,2.7.3,40.0,numexpr,conda-forge/numexpr,,,,5482.0,,https://pypi.org/project/numexpr,2021-03-03 18:13:19.000000,5482.0,464841.0,506124.0,https://anaconda.org/conda-forge/numexpr,2021-03-05 20:56:41.232000,2270593.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n82,TF Addons,tensorflow/addons,,tensorflow-utils,https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17.000000,2021-03-11 14:00:14.000000,2021-03-10 04:42:20.000000,421,172.0,630.0,1221,1344.0,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,151.0,31,True,2021-01-30 13:59:33.000000,0.12.1,25.0,tensorflow-addons,,,,['tensorflow'],2442.0,2424.0,https://pypi.org/project/tensorflow-addons,2021-01-30 13:59:33.000000,18.0,309065.0,309065.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n83,dask.distributed,dask/distributed,,distributed-ml,https://github.com/dask/distributed,https://github.com/dask/distributed,BSD-3-Clause,2015-09-13 18:42:29.000000,2021-03-11 14:18:13.000000,2021-03-10 20:30:28.000000,512,753.0,1287.0,1162,,A distributed task scheduler for Dask.,229.0,31,True,2021-02-05 19:40:27.000000,2021.2.0,143.0,distributed,conda-forge/distributed,,,,18802.0,17024.0,https://pypi.org/project/distributed,2021-02-05 19:40:27.000000,1778.0,1100819.0,1167295.0,https://anaconda.org/conda-forge/distributed,2021-03-06 04:06:55.162000,3855661.0,,,,,1.0,,-3.0,,,,,,,,,,,,,,,,,,,,\n84,imageio,imageio/imageio,,image,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000000,2021-03-10 08:44:20.000000,2021-03-10 08:44:20.000000,170,67.0,275.0,844,1138.0,Python library for reading and writing image data.,76.0,31,True,2020-07-10 07:45:22.000000,2.9.0,31.0,imageio,conda-forge/imageio,,,,41378.0,37540.0,https://pypi.org/project/imageio,2020-07-06 13:20:41.000000,3838.0,1242721.0,1278041.0,https://anaconda.org/conda-forge/imageio,2020-07-06 14:13:25.518000,1766030.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n85,pyproj,pyproj4/pyproj,,geospatial-data,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000000,2021-03-11 01:32:07.000000,2021-03-07 14:07:18.000000,149,11.0,386.0,578,1117.0,Python interface to PROJ (cartographic projections and coordinate transformations library).,39.0,31,True,2021-03-05 03:06:15.000000,3.0.1,34.0,pyproj,conda-forge/pyproj,,,,11278.0,8816.0,https://pypi.org/project/pyproj,2020-11-05 14:28:45.000000,2462.0,962057.0,993862.0,https://anaconda.org/conda-forge/pyproj,2021-03-05 14:16:16.093000,2003763.0,,,,,2.0,,2.0,,,,,,,,,,,,,,,,,,,,\n86,jieba,fxsjy/jieba,,chinese-nlp,https://github.com/fxsjy/jieba,https://github.com/fxsjy/jieba,MIT,2012-09-29 07:52:01.000000,2020-12-05 18:32:32.000000,2020-02-15 08:33:35.000000,6065,592.0,197.0,25696,523.0,Chinese Words Segmentation Utilities.,48.0,30,False,2020-01-20 14:27:23.000000,0.42.1,32.0,jieba,conda-forge/jieba,,,,11975.0,9459.0,https://pypi.org/project/jieba,2020-01-20 14:27:23.000000,2516.0,117583.0,119061.0,https://anaconda.org/conda-forge/jieba,2020-03-25 20:57:40.090000,69506.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n87,fastText,facebookresearch/fastText,,nlp,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000000,2021-01-15 15:28:41.000000,2020-07-18 00:20:40.000000,4310,439.0,592.0,22322,379.0,Library for fast text representation and classification.,58.0,30,True,2020-04-28 09:54:50.000000,0.9.2,35.0,fasttext,conda-forge/fasttext,,,,1750.0,1560.0,https://pypi.org/project/fasttext,2020-04-28 09:54:50.000000,190.0,107705.0,108147.0,https://anaconda.org/conda-forge/fasttext,2020-10-12 14:55:45.199000,18152.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n88,PaddlePaddle,PaddlePaddle/Paddle,,ml-frameworks,https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000000,2021-03-11 13:53:05.000000,2021-03-11 12:38:28.000000,3581,2401.0,10520.0,14513,15069.0,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,502.0,30,True,2021-02-01 02:31:35.000000,2.0.0,43.0,paddlepaddle,,,,['paddle'],50.0,34.0,https://pypi.org/project/paddlepaddle,2021-03-05 07:28:12.000000,16.0,4483.0,4760.0,,,,,,,,2.0,15260.0,,,,,,,,,,,,,,,,,,,,,\n89,zipline,quantopian/zipline,,financial-data,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29.000000,2021-02-14 16:26:07.000000,2020-10-14 16:36:49.000000,3853,334.0,647.0,13509,6226.0,\"Zipline, a Pythonic Algorithmic Trading Library.\",151.0,30,True,2020-10-05 15:46:20.429000,1.4.1,30.0,zipline,,,,,839.0,681.0,https://pypi.org/project/zipline,2020-10-05 15:46:20.429000,158.0,3139.0,3139.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n90,flair,flairNLP/flair,,nlp,https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,MIT,2018-06-11 11:04:18.000000,2021-03-10 12:57:25.000000,2021-03-09 15:47:45.000000,1523,99.0,1365.0,10072,3118.0,A very simple framework for state-of-the-art Natural Language Processing (NLP).,165.0,30,True,2021-03-05 11:57:03.000000,0.8,21.0,flair,,,,['pytorch'],697.0,649.0,https://pypi.org/project/flair,2021-03-08 23:08:40.000000,48.0,42693.0,42693.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n91,TFlearn,tflearn/tflearn,,ml-frameworks,https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,MIT,2016-03-31 12:05:53.000000,2021-01-25 09:41:59.000000,2020-11-30 04:34:51.000000,2429,563.0,361.0,9522,613.0,Deep learning library featuring a higher-level API for TensorFlow.,128.0,30,True,2020-11-11 19:26:11.000000,0.5.0,8.0,tflearn,,,,['tensorflow'],4021.0,3059.0,https://pypi.org/project/tflearn,2020-11-11 19:13:47.000000,962.0,7343.0,7343.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n92,DVC,iterative/dvc,,ml-experiments,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000000,2021-03-11 14:02:53.000000,2021-03-11 14:02:53.000000,707,541.0,2235.0,7501,6394.0,Data Version Control | Git for Data & Models.,210.0,30,True,2021-03-10 09:36:22.000000,2.0.5,304.0,dvc,conda-forge/dvc,,,,666.0,620.0,https://pypi.org/project/dvc,2021-03-10 09:36:22.000000,46.0,48567.0,76291.0,https://anaconda.org/conda-forge/dvc,2021-03-10 15:32:08.811000,517469.0,,,,,1.0,20371.0,,,,,,,,,dvc,dvc,dvc,,,,,,,,,,\n93,Vowpal Wabbit,VowpalWabbit/vowpal_wabbit,,ml-frameworks,https://github.com/VowpalWabbit/vowpal_wabbit,https://github.com/VowpalWabbit/vowpal_wabbit,BSD-3-Clause,2009-07-31 19:36:58.000000,2021-03-11 12:48:50.000000,2021-03-10 18:28:41.000000,1726,172.0,870.0,7478,9050.0,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,298.0,30,True,2021-03-04 18:13:37.000000,8.9.2,14.0,vowpalwabbit,,,,,118.0,102.0,https://pypi.org/project/vowpalwabbit,2020-11-12 14:41:09.000000,16.0,11109.0,11109.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n94,Prefect,PrefectHQ/prefect,,data-pipelines,https://github.com/PrefectHQ/prefect,https://github.com/PrefectHQ/prefect,Apache-2.0,2018-06-29 21:59:26.000000,2021-03-11 01:01:21.350000,2021-03-10 23:00:33.000000,539,263.0,1360.0,5963,13524.0,The easiest way to automate your data.,187.0,30,True,2021-03-10 23:06:59.000000,0.14.12,89.0,prefect,conda-forge/prefect,,,,276.0,274.0,https://pypi.org/project/prefect,2021-03-10 23:06:59.000000,2.0,30839.0,34000.0,https://anaconda.org/conda-forge/prefect,2021-03-11 01:01:21.350000,75875.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n95,Hyperopt,hyperopt/hyperopt,,hyperopt,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59.000000,2021-02-09 09:39:50.000000,2021-02-09 09:39:50.000000,867,332.0,222.0,5479,1169.0,Distributed Asynchronous Hyperparameter Optimization in Python.,85.0,30,True,2020-10-07 09:52:56.000000,0.2.5,11.0,hyperopt,conda-forge/hyperopt,,,,3289.0,2785.0,https://pypi.org/project/hyperopt,2020-10-07 09:52:56.000000,504.0,344709.0,350610.0,https://anaconda.org/conda-forge/hyperopt,2020-10-14 07:57:14.292000,177030.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n96,SpeechRecognition,Uberi/speech_recognition,,audio,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54.000000,2021-02-28 19:52:57.000000,2019-07-02 17:29:47.000000,1885,212.0,270.0,5472,360.0,\"Speech recognition module for Python, supporting several engines and APIs, online and offline.\",41.0,30,False,2017-12-05 14:05:14.000000,3.8.1,52.0,SpeechRecognition,conda-forge/speechrecognition,,,,8300.0,7212.0,https://pypi.org/project/SpeechRecognition,2017-12-05 13:58:29.000000,1088.0,71841.0,73689.0,https://anaconda.org/conda-forge/speechrecognition,2021-01-11 17:26:33.040000,101648.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n97,Pydub,jiaaro/pydub,,audio,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38.000000,2021-03-10 02:10:41.000000,2021-03-10 02:09:33.000000,705,179.0,241.0,5166,737.0,Manipulate audio with a simple and easy high level interface.,88.0,30,True,2021-03-10 02:10:41.000000,0.25.1,68.0,pydub,conda-forge/pydub,,,,7628.0,6274.0,https://pypi.org/project/pydub,2021-03-10 02:09:53.000000,1354.0,201748.0,202236.0,https://anaconda.org/conda-forge/pydub,2021-03-07 19:47:46.727000,13196.0,,,,,1.0,,1.0,,,,,,,,,,,,,,,,,,,,\n98,Autograd,HIPS/autograd,,others,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23.000000,2021-03-03 09:28:19.000000,2021-03-03 09:27:58.000000,712,161.0,218.0,5157,1376.0,Efficiently computes derivatives of numpy code.,51.0,30,True,2017-08-24 17:00:41.000000,1.1.13,24.0,autograd,conda-forge/autograd,,,,1943.0,1599.0,https://pypi.org/project/autograd,2019-07-25 16:21:07.000000,344.0,484899.0,487792.0,https://anaconda.org/conda-forge/autograd,2019-07-25 18:29:55.493000,159163.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n99,UMAP,lmcinnes/umap,,data-viz,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17.000000,2021-03-02 15:21:01.000000,2021-03-02 15:20:57.000000,494,222.0,235.0,4569,1365.0,Uniform Manifold Approximation and Projection.,73.0,30,True,2021-02-08 21:04:43.000000,0.5.1,35.0,umap-learn,,,,,2730.0,2504.0,https://pypi.org/project/umap-learn,2021-02-08 21:04:43.000000,226.0,113777.0,113777.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n100,yfinance,ranaroussi/yfinance,,financial-data,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000000,2021-03-11 14:18:36.000000,2021-03-03 23:34:48.000000,1121,355.0,182.0,4535,250.0,Yahoo! Finance market data downloader (+faster Pandas Datareader).,30.0,30,True,2020-10-05 12:19:44.000000,0.1.55,20.0,yfinance,ranaroussi/yfinance,,,,3384.0,3358.0,https://pypi.org/project/yfinance,2020-10-05 12:19:44.000000,26.0,95838.0,97861.0,https://anaconda.org/ranaroussi/yfinance,2019-12-27 21:30:44.606000,38449.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n101,Tesseract,madmaze/pytesseract,,ocr,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000000,2021-03-11 13:42:49.000000,2021-03-11 13:42:46.000000,516,7.0,244.0,3454,365.0,Python-tesseract is an optical character recognition (OCR) tool for python.,37.0,30,True,2020-12-15 05:24:52.000000,0.3.7,24.0,pytesseract,conda-forge/pytesseract,,,,1428.0,,https://pypi.org/project/pytesseract,2020-12-15 05:24:52.000000,1428.0,793455.0,795823.0,https://anaconda.org/conda-forge/pytesseract,2020-11-20 10:05:14.874000,47360.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n102,MLxtend,rasbt/mlxtend,,sklearn-utils,https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16.000000,2021-03-08 20:58:11.000000,2021-03-08 20:58:11.000000,697,97.0,281.0,3368,1209.0,A library of extension and helper modules for Python's data analysis and machine learning libraries.,83.0,30,True,2020-11-26 04:18:15.000000,0.18.0,46.0,mlxtend,conda-forge/mlxtend,,,['sklearn'],2857.0,2667.0,https://pypi.org/project/mlxtend,2020-11-26 04:18:15.000000,190.0,118164.0,121715.0,https://anaconda.org/conda-forge/mlxtend,2020-11-26 05:32:00.667000,156277.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n103,bqplot,bqplot/bqplot,,data-viz,https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18.000000,2021-03-11 13:21:13.000000,2021-03-11 13:21:13.000000,405,189.0,327.0,3024,3260.0,Plotting library for IPython/Jupyter notebooks.,51.0,30,True,2021-02-23 12:01:57.098000,0.5.23,91.0,bqplot,conda-forge/bqplot,,,['jupyter'],1391.0,1269.0,https://pypi.org/project/bqplot,2021-02-23 12:03:51.000000,112.0,14602.0,116775.0,https://anaconda.org/conda-forge/bqplot,2021-03-02 08:00:32.235000,522464.0,,,,,2.0,,,,bqplot,https://www.npmjs.com/package/bqplot,2021-02-23 12:01:57.098000,10.0,93165.0,,,,,,,,,,,,,,\n104,wandb client,wandb/client,,ml-experiments,https://github.com/wandb/client,https://github.com/wandb/client,MIT,2017-03-24 05:46:23.000000,2021-03-11 04:09:08.000000,2021-03-10 21:41:53.000000,195,240.0,711.0,2796,3859.0,A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.,74.0,30,True,2021-03-10 00:11:36.000000,0.10.22,192.0,wandb,,,,,2275.0,2197.0,https://pypi.org/project/wandb,2021-03-10 00:06:06.000000,78.0,178522.0,178522.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n105,PyQtGraph,pyqtgraph/pyqtgraph,,data-viz,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21.000000,2021-03-11 05:51:15.000000,2021-03-08 17:36:40.000000,811,264.0,486.0,2338,2561.0,Fast data visualization and GUI tools for scientific / engineering applications.,187.0,30,True,2020-12-20 02:43:22.000000,0.11.1,12.0,pyqtgraph,conda-forge/pyqtgraph,,,,890.0,,https://pypi.org/project/pyqtgraph,2020-12-20 02:43:22.000000,890.0,24153.0,27490.0,https://anaconda.org/conda-forge/pyqtgraph,2020-12-20 05:06:42.442000,166882.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n106,smart-open,RaRe-Technologies/smart_open,,data-loading,https://github.com/RaRe-Technologies/smart_open,https://github.com/RaRe-Technologies/smart_open,MIT,2015-01-02 13:05:52.000000,2021-03-06 05:27:26.000000,2021-03-06 05:27:23.000000,271,52.0,244.0,1961,898.0,\"Utils for streaming large files (S3, HDFS, gzip, bz2...).\",75.0,30,True,2021-02-15 06:45:45.000000,4.2.0,47.0,smart-open,,,,,640.0,,https://pypi.org/project/smart-open,2021-02-15 06:45:45.000000,640.0,6859453.0,6859453.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n107,opencv-python,skvark/opencv-python,,image,https://github.com/opencv/opencv-python,https://github.com/opencv/opencv-python,MIT,2016-04-08 13:36:40.000000,2021-01-03 17:07:49.000000,2020-12-28 18:40:12.000000,327,16.0,380.0,1818,749.0,\"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..\",27.0,30,True,2021-01-03 17:36:16.000000,47,48.0,opencv-python,,,,,12560.0,,https://pypi.org/project/opencv-python,2021-01-03 17:07:49.000000,12560.0,1582709.0,1582709.0,,,,,,,,2.0,,,,,,,,,,,,,opencv/opencv-python,,,,,,,,,\n108,Rasterio,mapbox/rasterio,,geospatial-data,https://github.com/mapbox/rasterio,https://github.com/mapbox/rasterio,BSD-3-Clause,2013-11-04 16:36:27.000000,2021-03-09 17:06:56.000000,2021-03-03 15:24:29.000000,394,137.0,1218.0,1447,3281.0,Rasterio reads and writes geospatial raster datasets.,107.0,30,True,2021-03-03 21:03:02.000000,1.2.1,122.0,rasterio,conda-forge/rasterio,,,,3700.0,2850.0,https://pypi.org/project/rasterio,2021-03-03 21:03:02.000000,850.0,178768.0,194159.0,https://anaconda.org/conda-forge/rasterio,2021-03-05 21:25:34.608000,922917.0,,,,,2.0,704.0,,,,,,,,,,,,,,,,,,,,,\n109,SageMaker SDK,aws/sagemaker-python-sdk,,ml-experiments,https://github.com/aws/sagemaker-python-sdk,https://github.com/aws/sagemaker-python-sdk,Apache-2.0,2017-11-14 01:03:33.000000,2021-03-11 00:46:58.000000,2021-03-11 00:46:58.000000,579,236.0,535.0,1338,1908.0,A library for training and deploying machine learning models on Amazon SageMaker.,179.0,30,True,2021-03-09 18:20:58.000000,2.29.1,318.0,sagemaker,,,,\"['mxnet', 'tensorflow']\",636.0,608.0,https://pypi.org/project/sagemaker,2021-03-09 18:21:03.000000,28.0,352950.0,352950.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n110,Wand,emcconville/wand,,image,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000000,2021-02-28 12:46:37.000000,2021-02-28 12:42:11.000000,182,14.0,325.0,1074,1697.0,The ctypes-based simple ImageMagick binding for Python.,95.0,30,True,2021-02-28 13:13:25.000000,0.6.6,48.0,wand,,,,,4640.0,3470.0,https://pypi.org/project/wand,2021-02-28 12:46:37.000000,1170.0,103405.0,103591.0,,,,,,,,2.0,5214.0,,,,,,,,,,,,,,,,,,,,,\n111,Fiona,Toblerity/Fiona,,geospatial-data,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00.000000,2021-03-03 08:46:44.857000,2020-11-30 07:11:40.000000,165,69.0,551.0,783,1093.0,Fiona reads and writes geographic data files.,65.0,30,True,2020-11-17 18:32:17.000000,1.8.18,96.0,fiona,conda-forge/fiona,,,,6382.0,5194.0,https://pypi.org/project/fiona,2020-11-17 18:32:17.000000,1188.0,486599.0,516120.0,https://anaconda.org/conda-forge/fiona,2021-03-03 08:46:44.857000,1771279.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n112,snowballstemmer,snowballstem/snowball,,nlp,https://github.com/snowballstem/snowball,https://github.com/snowballstem/snowball,BSD-3-Clause,2013-02-23 07:17:42.000000,2021-03-10 04:28:59.000000,2021-03-10 04:26:01.000000,133,17.0,42.0,481,847.0,Snowball compiler and stemming algorithms.,25.0,30,True,2021-01-21 11:43:00.000000,2.1.0,9.0,snowballstemmer,conda-forge/snowballstemmer,,,,58540.0,45358.0,https://pypi.org/project/snowballstemmer,2021-01-21 11:43:00.000000,13182.0,2118755.0,2158991.0,https://anaconda.org/conda-forge/snowballstemmer,2021-01-21 23:16:54.597000,2212993.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n113,Face Recognition,ageitgey/face_recognition,,image,https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39.000000,2021-02-14 15:50:55.000000,2020-09-26 15:32:59.000000,10736,574.0,530.0,38887,211.0,The world's simplest facial recognition api for Python and the command line.,45.0,29,True,2018-08-21 18:34:21.000000,1.2.3,21.0,face_recognition,,,,['pytorch'],406.0,,https://pypi.org/project/face_recognition,2018-08-21 18:34:21.000000,406.0,18384.0,18393.0,,,,,,,,2.0,440.0,,,,,,,,,,,,,,,,,,,,,\n114,Magenta,magenta/magenta,,audio,https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40.000000,2021-03-10 17:35:49.000000,2021-03-10 17:35:38.000000,3371,301.0,545.0,16384,1383.0,Magenta: Music and Art Generation with Machine Intelligence.,147.0,29,True,2020-11-12 19:17:18.000000,2.1.3,66.0,magenta,,,,['tensorflow'],345.0,275.0,https://pypi.org/project/magenta,2020-11-12 19:17:18.000000,70.0,3651.0,3651.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n115,Faiss,facebookresearch/faiss,,nn-search,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000000,2021-03-11 11:09:11.000000,2021-03-10 23:03:00.000000,2151,100.0,1294.0,12710,493.0,A library for efficient similarity search and clustering of dense vectors.,81.0,29,True,2021-03-08 12:52:06.000000,1.0.1,46.0,pymilvus,conda-forge/faiss,,,,329.0,323.0,https://pypi.org/project/pymilvus,2021-03-08 12:52:06.000000,6.0,4655.0,8933.0,https://anaconda.org/conda-forge/faiss,2021-03-03 05:18:33.351000,42786.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n116,horovod,horovod/horovod,,distributed-ml,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000000,2021-03-10 09:16:33.000000,2021-03-09 16:31:59.000000,1768,268.0,1456.0,10931,891.0,\"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.\",114.0,29,True,2021-02-15 20:51:41.000000,0.21.3,64.0,horovod,,,,,375.0,335.0,https://pypi.org/project/horovod,2021-02-15 20:51:41.000000,40.0,34119.0,34119.0,,,,,,,,2.0,,,stable/horovod,,,,,,,,,,,,,,,,,,,\n117,PyTorch Geometric,rusty1s/pytorch_geometric,,graph,https://github.com/rusty1s/pytorch_geometric,https://github.com/rusty1s/pytorch_geometric,MIT,2017-10-06 16:03:03.000000,2021-03-11 07:10:26.000000,2021-03-11 07:10:24.000000,1785,737.0,1148.0,10425,4228.0,Geometric Deep Learning Extension Library for PyTorch.,149.0,29,True,2020-12-02 14:57:09.000000,1.6.3,25.0,torch-geometric,,,,['pytorch'],24.0,,https://pypi.org/project/torch-geometric,2020-11-27 07:18:41.000000,24.0,12236.0,12236.0,,,,,,,,1.0,,1.0,,,,,,,,,,,,,,,,,,,,\n118,Lime,marcotcr/lime,,interpretability,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10.000000,2021-02-04 08:58:12.000000,2021-01-12 16:12:17.000000,1372,54.0,442.0,8518,508.0,Lime: Explaining the predictions of any machine learning classifier.,57.0,29,True,2020-04-03 22:05:03.000000,0.2.0.0,38.0,lime,conda-forge/lime,,,,1235.0,1107.0,https://pypi.org/project/lime,2020-06-26 21:38:15.000000,128.0,106612.0,107905.0,https://anaconda.org/conda-forge/lime,2020-06-28 01:02:41.538000,65954.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n119,Annoy,spotify/annoy,,nn-search,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40.000000,2021-03-01 19:06:27.000000,2020-12-03 18:21:18.000000,882,31.0,269.0,8189,785.0,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,68.0,29,True,2020-09-18 16:07:59.000000,1.17.0,43.0,annoy,,,,,1841.0,1481.0,https://pypi.org/project/annoy,2020-09-18 16:07:59.000000,360.0,123947.0,123947.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n120,fuzzywuzzy,seatgeek/fuzzywuzzy,,nlp,https://github.com/seatgeek/fuzzywuzzy,https://github.com/seatgeek/fuzzywuzzy,GPL-2.0,2011-07-08 19:32:34.000000,2021-02-21 17:07:39.000000,2021-02-20 06:36:20.000000,799,84.0,98.0,7905,381.0,Fuzzy String Matching in Python.,68.0,29,False,2020-02-13 22:14:12.000000,0.18.0,27.0,fuzzywuzzy,conda-forge/fuzzywuzzy,,,,11305.0,8099.0,https://pypi.org/project/fuzzywuzzy,2020-02-13 21:06:25.000000,3206.0,2349858.0,2354951.0,https://anaconda.org/conda-forge/fuzzywuzzy,2020-11-18 12:59:01.409000,285220.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n121,TPOT,EpistasisLab/tpot,,hyperopt,https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40.000000,2021-03-05 17:07:38.000000,2021-01-06 15:17:46.000000,1389,204.0,591.0,7891,2368.0,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,108.0,29,False,2021-01-06 15:20:08.000000,0.11.7,60.0,tpot,conda-forge/tpot,,,['sklearn'],942.0,862.0,https://pypi.org/project/tpot,2021-01-06 15:20:08.000000,80.0,12509.0,14527.0,https://anaconda.org/conda-forge/tpot,2021-03-05 04:04:38.005000,108975.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n122,TextBlob,sloria/TextBlob,,nlp,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18.000000,2021-03-09 13:40:33.000000,2021-03-09 13:39:20.000000,995,85.0,150.0,7573,535.0,\"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..\",34.0,29,True,2019-02-24 23:03:17.000000,0.15.3,55.0,textblob,conda-forge/textblob,,,,13164.0,10672.0,https://pypi.org/project/textblob,2019-02-24 23:03:17.000000,2492.0,214383.0,216456.0,https://anaconda.org/conda-forge/textblob,2019-02-24 23:32:55.233000,114031.0,,,,,2.0,88.0,,,,,,,,,,,,,,,,,,,,,\n123,glfw,glfw/glfw,,image,https://github.com/glfw/glfw,https://github.com/glfw/glfw,Zlib,2013-04-18 15:24:53.000000,2021-03-11 00:27:09.000000,2021-03-08 20:55:26.000000,2692,428.0,998.0,7376,4220.0,\"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.\",168.0,29,False,2021-02-23 19:56:32.000000,3.3.3,38.0,glfw,conda-forge/glfw,,,,214.0,,https://pypi.org/project/glfw,2021-02-28 20:43:49.000000,214.0,16345.0,48433.0,https://anaconda.org/conda-forge/glfw,2021-03-10 07:13:09.292000,26085.0,,,,,2.0,2235309.0,,,,,,,,,,,,,,,,,,,,,\n124,MoviePy,Zulko/moviepy,,image,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000000,2021-03-09 12:41:21.000000,2021-02-22 19:41:09.000000,1021,337.0,708.0,7348,1012.0,Video editing with Python.,137.0,29,True,2020-05-07 16:29:35.000000,1.0.3,84.0,moviepy,conda-forge/moviepy,,,,7518.0,6388.0,https://pypi.org/project/moviepy,2020-10-05 00:26:29.000000,1130.0,105693.0,107419.0,https://anaconda.org/conda-forge/moviepy,2020-02-23 19:57:49.975000,75967.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n125,Datasets,huggingface/datasets,,data-loading,https://github.com/huggingface/datasets,https://github.com/huggingface/datasets,Apache-2.0,2020-03-26 09:23:22.000000,2021-03-11 14:53:13.000000,2021-03-11 14:38:40.000000,752,245.0,371.0,6944,1420.0,\"The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools.\",234.0,29,True,2021-03-04 09:16:03.000000,1.4.1,16.0,datasets,,,,,447.0,429.0,https://pypi.org/project/datasets,2021-03-03 16:50:29.000000,18.0,27737.0,27737.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n126,pandas-profiling,pandas-profiling/pandas-profiling,,data-viz,https://github.com/pandas-profiling/pandas-profiling,https://github.com/pandas-profiling/pandas-profiling,MIT,2016-01-09 23:47:55.000000,2021-03-11 10:47:11.000000,2021-03-11 10:47:11.000000,1033,72.0,371.0,6915,784.0,Create HTML profiling reports from pandas DataFrame objects.,72.0,29,True,2021-02-20 14:18:35.000000,2.11.0,27.0,pandas-profiling,conda-forge/pandas-profiling,,,\"['jupyter', 'pandas']\",3458.0,3298.0,https://pypi.org/project/pandas-profiling,2021-02-07 23:45:05.000000,160.0,154203.0,156188.0,https://anaconda.org/conda-forge/pandas-profiling,2021-02-20 16:48:07.057000,109180.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n127,TinyDB,msiemens/tinydb,,data-containers,https://github.com/msiemens/tinydb,https://github.com/msiemens/tinydb,MIT,2013-07-12 23:31:13.000000,2021-03-02 07:16:50.000000,2021-03-02 07:16:50.000000,367,9.0,243.0,4083,609.0,TinyDB is a lightweight document oriented database optimized for your happiness :).,63.0,29,True,2021-02-11 19:31:26.000000,4.4.0,59.0,tinydb,conda-forge/tinydb,,,,1118.0,,https://pypi.org/project/tinydb,2021-02-11 19:31:24.000000,1118.0,129207.0,131075.0,https://anaconda.org/conda-forge/tinydb,2021-02-11 21:20:33.462000,106521.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n128,kaggle,Kaggle/kaggle-api,,ml-experiments,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000000,2021-02-04 16:58:12.000000,2020-11-30 21:43:14.000000,780,166.0,113.0,3905,137.0,Official Kaggle API.,35.0,29,True,2020-11-30 13:37:18.000000,1.5.10,47.0,kaggle,conda-forge/kaggle,,,,5308.0,4744.0,https://pypi.org/project/kaggle,2020-11-30 13:37:18.000000,564.0,72137.0,74226.0,https://anaconda.org/conda-forge/kaggle,2021-01-21 01:19:19.873000,45977.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n129,Koalas,databricks/koalas,,data-containers,https://github.com/databricks/koalas,https://github.com/databricks/koalas,Apache-2.0,2019-01-03 21:46:54.000000,2021-03-11 03:03:21.000000,2021-03-10 20:05:23.000000,300,106.0,434.0,2685,1495.0,Koalas: pandas API on Apache Spark.,48.0,29,True,2021-03-08 10:28:06.000000,1.7.0,44.0,koalas,conda-forge/koalas,,,\"['spark', 'pandas']\",82.0,80.0,https://pypi.org/project/koalas,2021-03-08 10:28:06.000000,2.0,494565.0,498211.0,https://anaconda.org/conda-forge/koalas,2021-03-09 01:46:58.770000,79317.0,,,,,2.0,996.0,,,,,,,,,,,,,,,,,,,,,\n130,torchtext,pytorch/text,,nlp,https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000000,2021-03-11 12:35:50.000000,2021-03-10 00:38:24.000000,617,293.0,317.0,2671,788.0,Data loaders and abstractions for text and NLP.,107.0,29,True,2021-03-04 20:44:43.000000,0.9.0-rc5,13.0,torchtext,,,,['pytorch'],4605.0,3923.0,https://pypi.org/project/torchtext,2021-03-04 20:43:01.000000,682.0,50453.0,50453.0,,,,,,,,2.0,,-1.0,,,,,,,,,,,,,,,,,,,,\n131,dbt,fishtown-analytics/dbt,,data-pipelines,https://github.com/fishtown-analytics/dbt,https://github.com/fishtown-analytics/dbt,Apache-2.0,2016-03-10 02:38:00.000000,2021-03-11 14:49:47.000000,2021-03-11 14:42:09.000000,521,320.0,1478.0,2658,2481.0,dbt (data build tool) enables data analysts and engineers to transform their data using the same practices that..,136.0,29,True,2021-01-27 18:24:45.000000,0.19.0,144.0,dbt,conda-forge/dbt,,,,227.0,209.0,https://pypi.org/project/dbt,2021-02-12 16:11:05.000000,18.0,113215.0,116193.0,https://anaconda.org/conda-forge/dbt,2020-05-14 13:55:32.153000,154875.0,,,,,2.0,,,,,,,,,,dbt,,,,,,,,,,,,\n132,VisPy,vispy/vispy,,data-viz,https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22.000000,2021-03-09 13:05:44.000000,2021-03-04 16:21:37.000000,536,354.0,817.0,2602,6445.0,High-performance interactive 2D/3D data visualization library.,149.0,29,True,2020-12-14 15:55:00.000000,0.6.6,16.0,vispy,conda-forge/vispy,,,['jupyter'],584.0,462.0,https://pypi.org/project/vispy,2020-11-28 02:55:50.000000,122.0,13765.0,16996.0,https://anaconda.org/conda-forge/vispy,2021-01-13 03:28:46.609000,129660.0,,,,,2.0,,,,vispy,https://www.npmjs.com/package/vispy,2020-03-15 14:39:41.516000,,69.0,,,,,,,,,,,,,,\n133,hmmlearn,hmmlearn/hmmlearn,,probabilistics,https://github.com/hmmlearn/hmmlearn,https://github.com/hmmlearn/hmmlearn,BSD-3-Clause,2014-03-23 10:33:09.000000,2021-02-05 09:47:49.000000,2021-02-05 09:47:44.000000,631,67.0,278.0,2203,355.0,\"Hidden Markov Models in Python, with scikit-learn like API.\",32.0,29,True,2021-02-03 14:33:20.000000,0.2.5,7.0,hmmlearn,conda-forge/hmmlearn,,,['sklearn'],1105.0,899.0,https://pypi.org/project/hmmlearn,2021-02-03 14:32:44.000000,206.0,106988.0,109391.0,https://anaconda.org/conda-forge/hmmlearn,2021-02-04 16:23:17.046000,67295.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n134,AzureML SDK,Azure/MachineLearningNotebooks,,ml-experiments,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000000,2021-03-10 02:05:10.000000,2021-03-10 02:05:10.000000,1619,132.0,858.0,2184,1115.0,Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft.,54.0,29,True,2021-02-22 18:06:59.000000,1.23.0,70.0,azureml-sdk,,,,,60.0,,https://pypi.org/project/azureml-sdk,2021-03-09 04:02:53.000000,60.0,229440.0,229453.0,,,,,,,,2.0,403.0,,,,,,,,,,,,,,,,,,,,,\n135,scikit-optimize,scikit-optimize/scikit-optimize,,hyperopt,https://github.com/scikit-optimize/scikit-optimize,https://github.com/scikit-optimize/scikit-optimize,BSD-3-Clause,2016-03-20 21:10:54.000000,2021-03-05 15:47:19.000000,2020-12-31 12:07:52.000000,394,199.0,360.0,2058,1541.0,Sequential model-based optimization with a `scipy.optimize` interface.,68.0,29,True,2020-09-04 09:08:10.000000,0.8.1,22.0,scikit-optimize,conda-forge/scikit-optimize,,,,1580.0,1420.0,https://pypi.org/project/scikit-optimize,2020-09-04 09:08:10.000000,160.0,411615.0,416896.0,https://anaconda.org/conda-forge/scikit-optimize,2020-09-04 09:50:52.372000,232370.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n136,pandas-datareader,pydata/pandas-datareader,,data-loading,https://github.com/pydata/pandas-datareader,https://github.com/pydata/pandas-datareader,BSD-3-Clause,2015-01-15 00:34:19.000000,2021-03-10 09:04:24.000000,2020-12-31 11:58:23.000000,522,86.0,370.0,1914,764.0,Extract data from a wide range of Internet sources into a pandas DataFrame.,77.0,29,True,2020-07-10 10:04:14.000000,0.9.0,21.0,pandas-datareader,conda-forge/pandas-datareader,,,['pandas'],9590.0,8184.0,https://pypi.org/project/pandas-datareader,2020-07-10 10:04:14.000000,1406.0,96457.0,98611.0,https://anaconda.org/conda-forge/pandas-datareader,2019-11-20 10:38:42.074000,101282.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n137,hdbscan,scikit-learn-contrib/hdbscan,,others,https://github.com/scikit-learn-contrib/hdbscan,https://github.com/scikit-learn-contrib/hdbscan,BSD-3-Clause,2015-04-22 13:32:37.000000,2021-02-14 03:07:15.749000,2021-02-11 20:27:38.000000,339,225.0,145.0,1828,874.0,A high performance implementation of HDBSCAN clustering.,67.0,29,True,2021-02-03 20:21:02.000000,0.8.27,43.0,hdbscan,conda-forge/hdbscan,,,['sklearn'],886.0,762.0,https://pypi.org/project/hdbscan,2021-02-03 20:21:02.000000,124.0,68315.0,78617.0,https://anaconda.org/conda-forge/hdbscan,2021-02-14 03:07:15.749000,576917.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n138,Lifelines,CamDavidsonPilon/lifelines,,medical-data,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42.000000,2021-03-05 00:11:18.000000,2021-03-03 21:32:20.000000,417,195.0,594.0,1582,2096.0,Survival analysis in Python.,92.0,29,True,2021-03-03 21:33:00.000000,0.25.10,154.0,lifelines,conda-forge/lifelines,,,,643.0,517.0,https://pypi.org/project/lifelines,2021-02-05 04:36:18.000000,126.0,94689.0,96978.0,https://anaconda.org/conda-forge/lifelines,2021-03-03 23:45:28.235000,130493.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n139,Geocoder,DenisCarriere/geocoder,,geospatial-data,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21.000000,2020-12-30 04:09:42.000000,2018-10-12 15:53:05.000000,260,90.0,216.0,1327,1251.0,Python Geocoder.,74.0,29,False,2018-04-04 12:34:51.000000,1.38.1,108.0,geocoder,conda-forge/geocoder,,,,3987.0,3143.0,https://pypi.org/project/geocoder,2018-04-04 12:34:51.000000,844.0,238378.0,240171.0,https://anaconda.org/conda-forge/geocoder,2019-06-27 16:40:50.469000,87885.0,,,,,2.0,,,,,,,,,,,,,,geocoder,,,,,,,,\n140,torchaudio,pytorch/audio,,audio,https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000000,2021-03-11 12:40:20.000000,2021-03-10 20:33:07.000000,285,153.0,295.0,1253,770.0,\"Data manipulation and transformation for audio signal processing, powered by PyTorch.\",105.0,29,True,2021-03-04 20:43:39.000000,0.8.0,13.0,torchaudio,,,,['pytorch'],1816.0,1798.0,https://pypi.org/project/torchaudio,2021-03-04 20:42:33.000000,18.0,61631.0,61631.0,,,,,,,,2.0,,1.0,,,,,,,,,,,,,,,,,,,,\n141,Graphviz,xflr6/graphviz,,data-viz,https://github.com/xflr6/graphviz,https://github.com/xflr6/graphviz,MIT,2014-01-12 17:49:29.000000,2021-02-15 10:32:28.000000,2021-02-15 10:23:23.000000,142,9.0,96.0,936,451.0,Simple Python interface for Graphviz.,15.0,29,True,2020-10-07 09:06:41.000000,0.14.2,47.0,graphviz,,,,,22595.0,18213.0,https://pypi.org/project/graphviz,2020-12-24 16:17:24.000000,4382.0,2057118.0,2057118.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n142,snakemake,snakemake/snakemake,,ml-experiments,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867000,2021-03-11 10:28:15.000000,2021-03-11 10:25:44.000000,196,349.0,214.0,878,4036.0,\"This is the development home of the workflow management system Snakemake. For general information, see.\",197.0,29,True,2021-03-11 10:28:15.000000,6.0.5,165.0,snakemake,bioconda/snakemake,,,,1043.0,755.0,https://pypi.org/project/snakemake,2021-03-08 16:12:10.000000,288.0,7964.0,12292.0,https://anaconda.org/bioconda/snakemake,2021-03-09 06:08:35.118000,281337.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n143,TensorFlow Transform,tensorflow/transform,,tensorflow-utils,https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53.000000,2021-03-09 22:25:06.000000,2021-03-09 22:25:02.000000,168,34.0,120.0,859,606.0,Input pipeline framework.,27.0,29,True,2021-02-23 21:27:53.000000,0.28.0,34.0,tensorflow-transform,,,,['tensorflow'],504.0,420.0,https://pypi.org/project/tensorflow-transform,2021-01-27 23:34:27.000000,84.0,5765869.0,5765869.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n144,Nilearn,nilearn/nilearn,,medical-data,https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000000,2021-03-11 14:28:05.000000,2021-03-10 16:51:17.000000,379,378.0,1167.0,707,9319.0,Machine learning for NeuroImaging in Python.,164.0,29,True,2020-11-12 11:44:49.000000,0.7.0,36.0,nilearn,conda-forge/nilearn,,,['sklearn'],1212.0,910.0,https://pypi.org/project/nilearn,2021-03-10 13:17:17.000000,302.0,6135.0,7588.0,https://anaconda.org/conda-forge/nilearn,2021-03-10 17:33:32.831000,84290.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n145,Bottleneck,pydata/bottleneck,,data-containers,https://github.com/pydata/bottleneck,https://github.com/pydata/bottleneck,BSD-2-Clause,2010-11-27 23:21:22.000000,2021-01-24 18:54:13.000000,2021-01-24 18:39:03.000000,65,26.0,177.0,583,1241.0,Fast NumPy array functions written in C.,21.0,29,True,2020-02-21 06:22:16.000000,1.3.2,21.0,Bottleneck,conda-forge/bottleneck,,,,22490.0,19598.0,https://pypi.org/project/Bottleneck,2020-02-21 06:22:16.000000,2892.0,147238.0,172214.0,https://anaconda.org/conda-forge/bottleneck,2021-01-21 02:48:32.623000,1448658.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n146,NIPYPE,nipy/nipype,,medical-data,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000000,2021-03-10 08:33:58.000000,2020-12-08 17:16:40.000000,439,312.0,874.0,557,14049.0,Workflows and interfaces for neuroimaging packages.,212.0,29,True,2020-11-28 17:23:30.000000,1.6.0,54.0,nipype,conda-forge/nipype,,,,720.0,528.0,https://pypi.org/project/nipype,2020-11-28 17:23:30.000000,192.0,7841.0,14423.0,https://anaconda.org/conda-forge/nipype,2020-11-28 17:44:51.813000,368625.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n147,NiBabel,nipy/nibabel,,medical-data,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30.000000,2021-03-09 13:05:45.000000,2021-03-09 13:05:45.000000,214,112.0,286.0,394,4958.0,Python package to access a cacophony of neuro-imaging file formats.,89.0,29,True,2020-11-28 22:19:50.000000,3.2.1,32.0,nibabel,conda-forge/nibabel,,,,5094.0,3830.0,https://pypi.org/project/nibabel,2020-11-28 22:18:23.000000,1264.0,37837.0,43185.0,https://anaconda.org/conda-forge/nibabel,2020-11-29 03:40:05.178000,310201.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n148,Prophet,facebook/prophet,,time-series-data,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000000,2021-03-11 09:23:49.000000,2021-03-05 17:55:35.000000,3528,98.0,1446.0,12358,638.0,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,127.0,28,True,2020-09-05 16:12:50.000000,0.7.1,14.0,fbprophet,,,,,150.0,,https://pypi.org/project/fbprophet,2020-09-05 16:12:50.000000,150.0,436086.0,436097.0,,,,,,,,1.0,554.0,,,,,,,,,,,,,,,,,,,,,\n149,Rasa,RasaHQ/rasa,,nlp,https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49.000000,2021-03-11 14:28:23.000000,2021-03-11 13:50:48.000000,3345,611.0,4545.0,10951,,\"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..\",467.0,28,True,2021-02-26 15:48:19.000000,2.3.4,190.0,rasa,,,,['tensorflow'],64.0,,https://pypi.org/project/rasa,2021-02-26 15:48:07.000000,64.0,68149.0,68149.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n150,EasyOCR,JaidedAI/EasyOCR,,ocr,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000000,2021-03-03 04:30:30.000000,2021-03-03 04:26:54.000000,1144,109.0,169.0,10915,383.0,\"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..\",75.0,28,True,2021-02-28 03:08:39.000000,1.2.5,19.0,easyocr,,,,,140.0,140.0,https://pypi.org/project/easyocr,2021-03-03 04:30:30.000000,0.0,10915.0,32196.0,,,,,,,,1.0,191531.0,,,,,,,,,,,,,,,,,,,,,\n151,Turi Create,apple/turicreate,,ml-frameworks,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04.000000,2021-02-02 21:52:08.000000,2021-02-02 21:52:07.000000,1091,476.0,1258.0,10162,1566.0,Turi Create simplifies the development of custom machine learning models.,81.0,28,True,2020-09-30 22:51:40.000000,6.4.1,31.0,turicreate,,,,,263.0,229.0,https://pypi.org/project/turicreate,2020-09-30 22:51:40.000000,34.0,11736.0,11833.0,,,,,,,,2.0,3786.0,,,,,,,,,,,,,,,,,,,,,\n152,Sonnet,deepmind/sonnet,,ml-frameworks,https://github.com/deepmind/sonnet,https://github.com/deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35.000000,2021-02-10 05:16:05.000000,2021-02-10 05:15:36.000000,1260,19.0,137.0,8787,545.0,TensorFlow-based neural network library.,49.0,28,True,2020-03-27 10:36:19.000000,2.0.0,27.0,dm-sonnet,conda-forge/sonnet,,,['tensorflow'],607.0,525.0,https://pypi.org/project/dm-sonnet,2020-03-27 10:36:10.000000,82.0,17206.0,17699.0,https://anaconda.org/conda-forge/sonnet,2020-11-14 18:13:23.843000,7901.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n153,PyTorch Image Models,rwightman/pytorch-image-models,,image,https://github.com/rwightman/pytorch-image-models,https://github.com/rwightman/pytorch-image-models,Apache-2.0,2019-02-02 05:51:12.000000,2021-03-10 18:29:36.000000,2021-03-10 18:24:23.000000,1130,30.0,244.0,7875,728.0,\"PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2,..\",30.0,28,True,2021-03-08 00:35:03.000000,0.4.5,18.0,,,,,['pytorch'],364.0,364.0,,,,,12152.0,,,,,,,,2.0,267352.0,1.0,,,,,,,,,,,,,,,,,,,,\n154,Albumentations,albumentations-team/albumentations,,image,https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000000,2021-03-05 08:07:04.000000,2021-03-05 00:38:01.000000,969,183.0,243.0,7456,625.0,Fast image augmentation library and easy to use wrapper around other libraries. Documentation:..,75.0,28,True,2020-11-29 14:30:07.000000,0.5.2,44.0,albumentations,conda-forge/albumentations,,,['pytorch'],3073.0,2945.0,https://pypi.org/project/albumentations,2020-11-29 14:30:07.000000,128.0,53198.0,53941.0,https://anaconda.org/conda-forge/albumentations,2020-11-29 15:51:47.610000,15620.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n155,tensorboardX,lanpa/tensorboardX,,ml-experiments,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19.000000,2021-03-11 11:49:51.000000,2021-03-09 14:31:10.000000,788,72.0,341.0,6849,462.0,\"tensorboard for pytorch (and chainer, mxnet, numpy, ...).\",65.0,28,True,2020-07-05 17:54:10.000000,2.0,13.0,tensorboardX,conda-forge/tensorboardx,,,,11942.0,10608.0,https://pypi.org/project/tensorboardX,2020-07-05 16:22:14.000000,1334.0,222019.0,230103.0,https://anaconda.org/conda-forge/tensorboardx,2020-07-06 20:33:55.729000,306989.0,,,,,2.0,301.0,,,,,,,,,,,,,,,,,,,,,\n156,Pyro,pyro-ppl/pyro,,probabilistics,https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000000,2021-03-10 21:21:59.000000,2021-03-10 21:21:59.000000,826,137.0,688.0,6792,2188.0,Deep universal probabilistic programming with Python and PyTorch.,104.0,28,True,2021-03-04 23:01:34.000000,1.6.0,26.0,pyro-ppl,,,,['pytorch'],439.0,403.0,https://pypi.org/project/pyro-ppl,2021-03-04 23:05:10.000000,36.0,9785.0,9785.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n157,Modin,modin-project/modin,,data-containers,https://github.com/modin-project/modin,https://github.com/modin-project/modin,Apache-2.0,2018-06-21 21:35:05.000000,2021-03-11 13:02:16.000000,2021-03-10 16:58:20.000000,400,460.0,1156.0,5794,1312.0,Modin: Speed up your Pandas workflows by changing a single line of code.,72.0,28,True,2021-03-04 23:06:02.000000,0.9.0,37.0,modin,,,,['pandas'],330.0,312.0,https://pypi.org/project/modin,2021-03-04 23:04:25.000000,18.0,43339.0,49443.0,,,,,,,,2.0,195345.0,,,,,,,,,,,,,,,,,,,,,\n158,faust,robinhood/faust,,data-pipelines,https://github.com/robinhood/faust,https://github.com/robinhood/faust,BSD-3-Clause,2017-03-08 18:36:11.000000,2021-01-21 01:53:26.000000,2020-10-09 12:59:42.000000,435,233.0,223.0,5374,4137.0,Python Stream Processing.,91.0,28,True,2020-02-25 22:57:18.000000,1.10.4,46.0,faust,,,,,685.0,657.0,https://pypi.org/project/faust,2020-02-25 22:57:18.000000,28.0,198394.0,198394.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n159,OpenNMT,OpenNMT/OpenNMT-py,,nlp,https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000000,2021-03-09 14:31:08.000000,2021-03-09 14:31:08.000000,1797,100.0,1134.0,4866,2547.0,Open Source Neural Machine Translation in PyTorch.,165.0,28,True,2021-01-27 09:22:31.000000,2.0.1,28.0,OpenNMT-py,,,,['pytorch'],79.0,75.0,https://pypi.org/project/OpenNMT-py,2021-01-27 09:22:31.000000,4.0,1600.0,1600.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n160,snorkel,snorkel-team/snorkel,,data-loading,https://github.com/snorkel-team/snorkel,https://github.com/snorkel-team/snorkel,Apache-2.0,2016-02-26 05:52:45.000000,2021-03-10 05:00:06.000000,2021-03-10 05:00:06.000000,734,22.0,917.0,4513,2651.0,A system for quickly generating training data with weak supervision.,63.0,28,True,2021-03-09 21:51:40.000000,0.9.7,19.0,snorkel,conda-forge/snorkel,,,,81.0,73.0,https://pypi.org/project/snorkel,2021-03-09 21:39:08.000000,8.0,64784.0,65614.0,https://anaconda.org/conda-forge/snorkel,2020-04-10 13:08:54.445000,16381.0,,,,,3.0,551.0,1.0,,,,,,,,,,,,,,,,,,,,\n161,csvkit,wireservice/csvkit,,data-loading,https://github.com/wireservice/csvkit,https://github.com/wireservice/csvkit,MIT,2011-04-01 03:00:30.000000,2021-03-10 22:01:31.000000,2021-03-10 22:01:27.000000,535,56.0,752.0,4499,1696.0,\"A suite of utilities for converting to and working with CSV, the king of tabular file formats.\",91.0,28,True,2020-03-03 03:00:28.000000,1.0.5,33.0,csvkit,conda-forge/csvkit,,,,1534.0,832.0,https://pypi.org/project/csvkit,2020-03-03 03:00:28.000000,702.0,23182.0,24157.0,https://anaconda.org/conda-forge/csvkit,2019-05-28 12:30:50.171000,46813.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n162,sentence-transformers,UKPLab/sentence-transformers,,nlp,https://github.com/UKPLab/sentence-transformers,https://github.com/UKPLab/sentence-transformers,Apache-2.0,2019-07-24 10:53:51.000000,2021-03-11 08:07:07.000000,2021-03-11 08:07:07.000000,816,343.0,393.0,4389,669.0,Sentence Embeddings with BERT & XLNet.,43.0,28,True,2021-01-04 14:04:01.000000,0.4.1,29.0,sentence-transformers,,,,['pytorch'],728.0,728.0,https://pypi.org/project/sentence-transformers,2021-01-04 15:49:09.000000,0.0,369439.0,369439.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n163,Tokenizers,huggingface/tokenizers,,nlp,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000000,2021-03-11 02:20:31.000000,2021-02-10 02:05:52.000000,319,82.0,311.0,4319,1441.0,Fast State-of-the-Art Tokenizers optimized for Research and Production.,40.0,28,True,2021-02-08 17:12:03.000000,0.10.1,60.0,tokenizers,conda-forge/tokenizers,,,,25.0,25.0,https://pypi.org/project/tokenizers,2021-02-08 17:12:03.000000,0.0,771918.0,775878.0,https://anaconda.org/conda-forge/tokenizers,2021-03-10 20:31:28.913000,31685.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n164,PyOD,yzhao062/pyod,,others,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04.000000,2021-02-27 04:32:37.000000,2021-02-18 15:48:37.000000,866,109.0,84.0,4229,1255.0,(JMLR'19) A Python Toolbox for Scalable Outlier Detection (Anomaly Detection).,23.0,28,True,2021-02-18 15:53:13.000000,0.8.7,65.0,pyod,,,,,530.0,524.0,https://pypi.org/project/pyod,2021-02-18 15:53:13.000000,6.0,55990.0,55990.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n165,Kornia,kornia/kornia,,image,https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000000,2021-03-11 07:26:59.000000,2021-03-10 22:44:37.000000,366,97.0,260.0,3662,1511.0,Open Source Differentiable Computer Vision Library for PyTorch.,88.0,28,True,2020-10-20 19:31:49.000000,0.4.1,12.0,kornia,,,,['pytorch'],285.0,285.0,https://pypi.org/project/kornia,2020-10-20 19:31:49.000000,0.0,11668.0,11668.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n166,imutils,jrosebr1/imutils,,image,https://github.com/jrosebr1/imutils,https://github.com/jrosebr1/imutils,MIT,2015-01-11 20:05:39.000000,2021-02-26 11:31:57.000000,2021-01-15 10:46:45.000000,880,131.0,76.0,3555,138.0,\"A series of convenience functions to make basic image processing operations such as translation, rotation, resizing,..\",20.0,28,True,2021-01-15 10:53:17.000000,0.5.4,29.0,imutils,conda-forge/imutils,,,,13936.0,12740.0,https://pypi.org/project/imutils,2021-01-15 10:53:17.000000,1196.0,82202.0,84163.0,https://anaconda.org/conda-forge/imutils,2021-01-15 14:27:25.471000,41199.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n167,Kedro,quantumblacklabs/kedro,,data-pipelines,https://github.com/quantumblacklabs/kedro,https://github.com/quantumblacklabs/kedro,Apache-2.0,2019-04-18 10:29:56.000000,2021-03-11 15:04:58.000000,2021-03-11 13:13:05.000000,419,77.0,364.0,3551,1180.0,\"A Python framework for creating reproducible, maintainable and modular data science code.\",102.0,28,True,2021-03-04 14:46:45.000000,0.17.1,25.0,kedro,,,,,435.0,419.0,https://pypi.org/project/kedro,2021-03-04 14:46:45.000000,16.0,49038.0,49038.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n168,sacred,IDSIA/sacred,,ml-experiments,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29.000000,2021-02-25 06:50:58.000000,2021-02-25 06:50:58.000000,314,92.0,402.0,3344,1303.0,\"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.\",92.0,28,True,2020-12-14 15:21:05.000000,0.8.2,27.0,sacred,,,,,990.0,836.0,https://pypi.org/project/sacred,2020-12-14 15:21:05.000000,154.0,7620.0,7620.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n169,dyNET,clab/dynet,,ml-frameworks,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21.000000,2021-02-17 22:08:25.000000,2021-01-27 15:43:03.000000,703,259.0,660.0,3193,3267.0,DyNet: The Dynamic Neural Network Toolkit.,156.0,28,True,2020-10-21 14:31:01.000000,2.1.2,24.0,dyNET,,,,,206.0,168.0,https://pypi.org/project/dyNET,2020-10-21 14:31:01.000000,38.0,3597.0,3637.0,,,,,,,,2.0,2171.0,,,,,,,,,,,,,,,,,,,,,\n170,PyCaret,pycaret/pycaret,,ml-experiments,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000000,2021-03-10 15:21:20.000000,2021-03-06 10:01:37.000000,647,189.0,584.0,3050,1695.0,\"An open-source, low-code machine learning library in Python.\",46.0,28,True,2021-02-21 19:03:52.000000,2.3.0,69.0,pycaret,,,,,716.0,716.0,https://pypi.org/project/pycaret,2021-02-21 19:03:52.000000,0.0,19910.0,19955.0,,,,,,,,2.0,366.0,,,,,,,,,,,,,,,,,,,,,\n171,Dedupe,dedupeio/dedupe,,nlp,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36.000000,2021-03-08 12:55:29.000000,2021-02-28 20:45:28.000000,422,56.0,573.0,2937,2801.0,\"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.\",55.0,28,True,2021-02-28 20:52:16.000000,2.0.7,158.0,dedupe,,,,,257.0,179.0,https://pypi.org/project/dedupe,2021-02-28 20:52:16.000000,78.0,39610.0,39610.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n172,Blaze,blaze/blaze,,data-containers,https://github.com/blaze/blaze,https://github.com/blaze/blaze,BSD-3-Clause,2012-10-26 14:25:22.000000,2020-02-01 19:33:09.000000,2019-08-15 21:14:59.000000,373,262.0,500.0,2934,7496.0,NumPy and Pandas interface to Big Data.,64.0,28,False,2016-07-19 20:40:03.000000,0.11.0,14.0,blaze,conda-forge/blaze,,,,9145.0,7523.0,https://pypi.org/project/blaze,2016-05-06 21:19:21.000000,1622.0,7132.0,11527.0,https://anaconda.org/conda-forge/blaze,2018-07-15 22:16:17.685000,188992.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n173,phonenumbers,daviddrysdale/python-phonenumbers,,nlp,https://github.com/daviddrysdale/python-phonenumbers,https://github.com/daviddrysdale/python-phonenumbers,Apache-2.0,2011-04-21 03:06:38.000000,2021-03-02 18:12:32.000000,2021-03-02 16:16:23.000000,333,3.0,113.0,2648,,Python port of Google's libphonenumber.,22.0,28,True,2021-02-09 08:55:35.000000,8.12.18,170.0,phonenumbers,conda-forge/phonenumbers,,,,2280.0,,https://pypi.org/project/phonenumbers,2021-03-02 18:12:32.000000,2280.0,618732.0,625553.0,https://anaconda.org/conda-forge/phonenumbers,2019-08-04 21:19:59.322000,388805.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n174,datashader,holoviz/datashader,,data-viz,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000000,2021-03-08 23:30:03.000000,2021-03-08 15:49:54.000000,311,144.0,329.0,2444,1284.0,Quickly and accurately render even the largest data.,43.0,28,True,2021-01-07 16:14:43.000000,0.12.0,22.0,datashader,conda-forge/datashader,,,,680.0,610.0,https://pypi.org/project/datashader,2021-01-07 16:14:43.000000,70.0,9010.0,12766.0,https://anaconda.org/conda-forge/datashader,2021-01-08 10:17:48.622000,150259.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n175,sklearn-pandas,scikit-learn-contrib/sklearn-pandas,,data-containers,https://github.com/scikit-learn-contrib/sklearn-pandas,https://github.com/scikit-learn-contrib/sklearn-pandas,Zlib,2013-04-22 22:55:20.000000,2021-02-27 07:31:07.000000,2021-02-27 07:31:07.000000,390,30.0,119.0,2356,284.0,Pandas integration with sklearn.,37.0,28,False,2021-02-27 06:52:07.000000,2.1.0,26.0,sklearn-pandas,,,,\"['sklearn', 'pandas']\",2058.0,1836.0,https://pypi.org/project/sklearn-pandas,2021-02-27 06:52:07.000000,222.0,112757.0,112757.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n176,GPyTorch,cornellius-gp/gpytorch,,probabilistics,https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000000,2021-03-10 18:08:40.000000,2021-03-10 18:08:39.000000,328,196.0,676.0,2314,3380.0,A highly efficient and modular implementation of Gaussian Processes in PyTorch.,74.0,28,True,2021-02-23 14:34:28.000000,1.4.0,25.0,gpytorch,,,,['pytorch'],241.0,233.0,https://pypi.org/project/gpytorch,2021-01-19 22:09:01.000000,8.0,34738.0,34738.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n177,NMSLIB,nmslib/nmslib,,nn-search,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06.000000,2021-02-03 16:23:42.000000,2021-02-03 16:21:49.000000,336,46.0,321.0,2310,1495.0,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,44.0,28,True,2021-02-03 16:40:09.000000,2.1.1,32.0,nmslib,conda-forge/nmslib,,,,383.0,331.0,https://pypi.org/project/nmslib,2021-02-03 00:02:08.000000,52.0,30655.0,32203.0,https://anaconda.org/conda-forge/nmslib,2021-01-08 16:19:07.762000,17036.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n178,Keras Tuner,keras-team/keras-tuner,,hyperopt,https://github.com/keras-team/keras-tuner,https://github.com/keras-team/keras-tuner,Apache-2.0,2019-06-06 22:38:21.000000,2021-03-11 06:44:02.000000,2021-03-09 02:13:49.000000,264,145.0,150.0,2265,807.0,Hyperparameter tuning for humans.,35.0,28,True,2020-11-20 19:13:23.000000,1.0.2,5.0,keras-tuner,,,,['tensorflow'],442.0,438.0,https://pypi.org/project/keras-tuner,2020-11-20 19:00:59.000000,4.0,97998.0,97998.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n179,ipyparallel,ipython/ipyparallel,,distributed-ml,https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,BSD-3-Clause,2015-04-09 07:43:55.000000,2021-02-23 14:37:54.000000,2021-02-22 12:08:33.000000,768,146.0,107.0,1905,1830.0,Interactive Parallel Computing in Python.,97.0,28,True,2020-05-05 18:42:38.000000,6.3.0,21.0,ipyparallel,conda-forge/ipyparallel,,,['jupyter'],1930.0,1440.0,https://pypi.org/project/ipyparallel,2020-05-05 18:42:38.000000,490.0,31946.0,38636.0,https://anaconda.org/conda-forge/ipyparallel,2021-01-22 17:12:52.539000,394713.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n180,ImageHash,JohannesBuchner/imagehash,,image,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48.000000,2021-01-03 14:55:33.000000,2021-01-03 14:55:15.000000,248,22.0,71.0,1860,184.0,A Python Perceptual Image Hashing Module.,17.0,28,True,2020-11-19 14:54:24.000000,4.2.0,17.0,ImageHash,conda-forge/imagehash,,,,2683.0,2151.0,https://pypi.org/project/ImageHash,2020-11-19 14:54:24.000000,532.0,260734.0,262784.0,https://anaconda.org/conda-forge/imagehash,2020-11-19 18:20:49.964000,106620.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n181,HoloViews,holoviz/holoviews,,data-viz,https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000000,2021-03-08 19:14:56.000000,2021-03-03 18:23:20.000000,306,696.0,1837.0,1823,10153.0,\"With Holoviews, your data visualizes itself.\",102.0,28,True,2021-03-04 17:15:32.000000,1.14.2,68.0,holoviews,conda-forge/holoviews,,,['jupyter'],170.0,,https://pypi.org/project/holoviews,2021-03-03 18:39:13.000000,170.0,33884.0,48086.0,https://anaconda.org/conda-forge/holoviews,2021-03-02 20:37:26.420000,440622.0,,,,,2.0,,,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,2020-05-24 13:49:54.205000,,6606.0,,,,,,,,,,,,,,\n182,pyLDAvis,bmabey/pyLDAvis,,interpretability,https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03.000000,2021-03-11 10:55:26.000000,2021-03-09 17:35:52.000000,302,96.0,62.0,1421,226.0,Python library for interactive topic model visualization. Port of the R LDAvis package.,32.0,28,True,2021-02-21 02:43:58.000000,3.2.2,22.0,pyldavis,conda-forge/pyldavis,,,['jupyter'],2066.0,1868.0,https://pypi.org/project/pyldavis,2021-02-21 02:43:58.000000,198.0,49861.0,50518.0,https://anaconda.org/conda-forge/pyldavis,2018-06-22 21:16:15.741000,21705.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n183,ipyleaflet,jupyter-widgets/ipyleaflet,,geospatial-data,https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10.000000,2021-03-11 08:40:09.000000,2021-03-11 08:40:06.000000,278,139.0,256.0,1097,910.0,A Jupyter - Leaflet.js bridge.,63.0,28,True,2021-01-05 16:38:38.000000,0.13.6,70.0,ipyleaflet,conda-forge/ipyleaflet,,,['jupyter'],828.0,728.0,https://pypi.org/project/ipyleaflet,2021-01-05 16:38:38.000000,98.0,11697.0,116378.0,https://anaconda.org/conda-forge/ipyleaflet,2021-01-16 23:51:37.383000,617346.0,,,,,3.0,,1.0,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2021-01-05 16:30:30.235000,2.0,94038.0,,,,,,,,,,,,,,\n184,PyTables,PyTables/PyTables,,data-containers,https://github.com/PyTables/PyTables,https://github.com/PyTables/PyTables,BSD-3-Clause,2011-06-03 19:44:46.000000,2021-03-11 10:32:42.000000,2021-03-04 14:27:47.000000,204,168.0,449.0,1008,3952.0,A Python package to manage extremely large amounts of data.,97.0,28,True,2019-10-30 19:33:37.000000,3.6.1,25.0,tables,conda-forge/pytables,,,,3754.0,,https://pypi.org/project/tables,2019-10-30 19:33:37.000000,3754.0,254589.0,297151.0,https://anaconda.org/conda-forge/pytables,2021-01-14 18:41:06.536000,2340819.0,,,,,2.0,125.0,,,,,,,,,,,,,,,,,,,,,\n185,Keras-Preprocessing,keras-team/keras-preprocessing,,others,https://github.com/keras-team/keras-preprocessing,https://github.com/keras-team/keras-preprocessing,MIT,2018-05-30 22:43:36.000000,2021-02-04 19:43:30.000000,2021-02-04 19:43:30.000000,409,93.0,99.0,918,284.0,\"Utilities for working with image data, text data, and sequence data.\",50.0,28,True,2020-05-14 03:53:47.000000,1.1.2,12.0,keras-preprocessing,conda-forge/keras-preprocessing,,,['tensorflow'],2736.0,,https://pypi.org/project/keras-preprocessing,2020-05-14 03:53:47.000000,2736.0,2530313.0,2556560.0,https://anaconda.org/conda-forge/keras-preprocessing,2021-01-15 12:28:58.923000,866162.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n186,Cython BLIS,explosion/cython-blis,,others,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16.000000,2021-02-25 03:59:27.000000,2020-12-07 07:21:11.000000,23,6.0,15.0,165,524.0,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,9.0,28,True,2020-12-07 08:56:44.000000,0.7.4,35.0,blis,conda-forge/cython-blis,,,,9212.0,8822.0,https://pypi.org/project/blis,2020-12-07 08:56:44.000000,390.0,677079.0,694729.0,https://anaconda.org/conda-forge/cython-blis,2021-01-31 09:13:47.685000,423609.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n187,Streamlit,streamlit/streamlit,,others,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000000,2021-03-11 11:32:44.000000,2021-03-10 14:39:09.000000,1153,594.0,1004.0,13741,,Streamlit The fastest way to build data apps in Python.,91.0,27,True,2021-02-23 22:26:04.000000,0.77.0,126.0,streamlit,,,,,97.0,63.0,https://pypi.org/project/streamlit,2021-03-04 22:36:06.000000,34.0,106616.0,106616.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n188,baselines,openai/baselines,,reinforcement-learning,https://github.com/openai/baselines,https://github.com/openai/baselines,MIT,2017-05-24 01:58:13.000000,2021-02-21 12:16:56.000000,2020-01-31 13:06:18.000000,3915,454.0,426.0,11263,347.0,OpenAI Baselines: high-quality implementations of reinforcement learning algorithms.,114.0,27,False,2018-02-26 17:07:07.000000,0.1.5,6.0,baselines,,,,,365.0,291.0,https://pypi.org/project/baselines,2018-02-26 17:07:07.000000,74.0,6069.0,6069.0,,,,,,,,1.0,,-1.0,,,,,,,,,,,,,,,,,,,,\n189,Dopamine,google/dopamine,,reinforcement-learning,https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36.000000,2021-03-03 22:26:11.000000,2021-03-03 22:24:01.000000,1242,80.0,70.0,9341,223.0,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,14.0,27,True,2021-02-12 20:18:33.000000,3.1.9,36.0,dopamine-rl,,,,['tensorflow'],62.0,,https://pypi.org/project/dopamine-rl,2021-03-03 22:26:11.000000,62.0,43130.0,43130.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n190,AutoKeras,keras-team/autokeras,,hyperopt,https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20.000000,2021-03-11 07:26:46.000000,2021-03-10 05:30:06.000000,1259,58.0,666.0,7827,1246.0,AutoML library for deep learning.,128.0,27,True,2020-11-30 02:43:50.000000,1.0.12,46.0,autokeras,,,,['tensorflow'],155.0,148.0,https://pypi.org/project/autokeras,2020-11-30 02:43:50.000000,7.0,3643.0,3643.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n191,pretrainedmodels,Cadene/pretrained-models.pytorch,,pytorch-utils,https://github.com/Cadene/pretrained-models.pytorch,https://github.com/Cadene/pretrained-models.pytorch,BSD-3-Clause,2017-04-09 15:54:23.000000,2020-06-08 16:06:59.000000,2020-04-16 08:02:22.000000,1648,89.0,87.0,7769,154.0,\"Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.\",22.0,27,True,2018-10-29 08:18:45.000000,0.7.4,16.0,pretrainedmodels,,,,['pytorch'],1007.0,903.0,https://pypi.org/project/pretrainedmodels,2018-10-29 08:18:45.000000,104.0,19537.0,19537.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n192,TensorLayer,tensorlayer/tensorlayer,,reinforcement-learning,https://github.com/tensorlayer/tensorlayer,https://github.com/tensorlayer/tensorlayer,Apache-2.0,2016-06-07 15:55:16.000000,2021-02-23 00:48:18.000000,2021-02-22 06:39:19.000000,1460,17.0,433.0,6511,3344.0,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,131.0,27,True,2021-01-06 07:16:21.000000,2.2.4,82.0,tensorlayer,,,,['tensorflow'],68.0,,https://pypi.org/project/tensorlayer,2020-06-19 00:53:37.000000,68.0,1368.0,1390.0,,,,,,,,1.0,1229.0,,,,,,,,,,,,,,,,,,,,,\n193,imageai,OlafenwaMoses/ImageAI,,image,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33.000000,2021-02-05 19:32:30.000000,2021-01-05 01:31:12.000000,1645,190.0,411.0,5971,290.0,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,13.0,27,True,2021-01-05 01:26:01.000000,2.1.6,10.0,imageai,,,,,746.0,722.0,https://pypi.org/project/imageai,2021-01-05 01:26:01.000000,24.0,4049.0,19721.0,,,,,,,,2.0,548532.0,,,,,,,,,,,,,,,,,,,,,\n194,tensorpack,tensorpack/tensorpack,,ml-frameworks,https://github.com/tensorpack/tensorpack,https://github.com/tensorpack/tensorpack,Apache-2.0,2015-12-25 23:08:44.000000,2021-03-02 06:18:21.000000,2021-03-02 06:18:10.000000,1772,8.0,1311.0,5952,2930.0,\"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.\",55.0,27,True,2020-04-24 19:01:06.000000,0.10.1,37.0,tensorpack,,,,['tensorflow'],779.0,703.0,https://pypi.org/project/tensorpack,2021-01-22 08:44:03.000000,76.0,5801.0,5803.0,,,,,,,,3.0,116.0,-1.0,,,,,,,,,,,,,,,,,,,,\n195,tsfresh,blue-yonder/tsfresh,,time-series-data,https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17.000000,2021-03-07 06:57:04.012000,2021-03-06 08:08:46.000000,852,36.0,410.0,5465,398.0,Automatic extraction of relevant features from time series:.,74.0,27,True,2021-03-06 08:49:53.000000,0.18.0,26.0,tsfresh,conda-forge/tsfresh,,,['sklearn'],66.0,,https://pypi.org/project/tsfresh,2020-09-09 21:08:22.000000,66.0,120431.0,121177.0,https://anaconda.org/conda-forge/tsfresh,2021-03-07 06:57:04.012000,29862.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n196,CleverHans,cleverhans-lab/cleverhans,,adversarial,https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04.000000,2021-03-11 11:36:10.000000,2021-03-10 06:59:50.000000,1243,25.0,414.0,5009,3110.0,\"An adversarial example library for constructing attacks, building defenses, and benchmarking both.\",118.0,27,True,2021-02-01 06:35:42.000000,3.1.0,7.0,cleverhans,,,,['tensorflow'],210.0,194.0,https://pypi.org/project/cleverhans,2018-11-27 17:36:15.000000,16.0,353.0,353.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n197,Bayesian Optimization,fmfn/BayesianOptimization,,hyperopt,https://github.com/fmfn/BayesianOptimization,https://github.com/fmfn/BayesianOptimization,MIT,2014-06-06 08:18:56.000000,2021-02-16 13:11:04.000000,2020-12-19 01:11:23.000000,1097,40.0,164.0,4949,199.0,A Python implementation of global optimization with gaussian processes.,27.0,27,True,2020-05-16 16:03:51.000000,1.2.0,8.0,bayesian-optimization,,,,,740.0,648.0,https://pypi.org/project/bayesian-optimization,2020-05-16 15:56:09.000000,92.0,43029.0,43030.0,,,,,,,,2.0,47.0,,,,,,,,,,,,,,,,,,,,,\n198,GluonCV,dmlc/gluon-cv,,image,https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21.000000,2021-03-10 05:06:21.000000,2021-03-10 05:06:21.000000,1057,377.0,378.0,4587,849.0,Gluon CV Toolkit.,111.0,27,True,2021-03-09 00:20:06.000000,0.10.0,1023.0,gluoncv,,,,['mxnet'],471.0,441.0,https://pypi.org/project/gluoncv,2021-03-08 09:01:38.000000,30.0,34159.0,34159.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n199,PDFMiner,euske/pdfminer,,data-loading,https://github.com/euske/pdfminer,https://github.com/euske/pdfminer,MIT,2010-12-12 12:50:22.000000,2021-02-16 14:43:27.000000,2020-01-18 07:00:32.000000,1024,222.0,40.0,4525,540.0,Python PDF Parser (Not actively maintained). Check out pdfminer.six.,28.0,27,False,,,24.0,pdfminer,conda-forge/pdfminer,,,,3565.0,2099.0,https://pypi.org/project/pdfminer,2019-11-25 12:02:21.000000,1466.0,72548.0,72812.0,https://anaconda.org/conda-forge/pdfminer,2021-02-15 15:07:18.804000,14560.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n200,librosa,librosa/librosa,,audio,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000000,2021-03-10 23:21:49.000000,2021-03-03 14:24:15.000000,717,70.0,786.0,4348,,Python library for audio and music analysis.,82.0,27,True,2020-07-22 01:34:55.000000,0.8.0,28.0,librosa,conda-forge/librosa,,,,11494.0,9744.0,https://pypi.org/project/librosa,2020-07-22 01:34:55.000000,1750.0,234429.0,239042.0,https://anaconda.org/conda-forge/librosa,2020-07-22 10:27:18.402000,258372.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n201,DEAP,deap/deap,,distributed-ml,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39.000000,2021-02-24 12:54:41.000000,2020-12-25 17:33:18.000000,855,170.0,223.0,4120,2147.0,Distributed Evolutionary Algorithms in Python.,67.0,27,False,2020-01-21 01:18:06.000000,1.3.1,16.0,deap,conda-forge/deap,,,,2148.0,1666.0,https://pypi.org/project/deap,2020-01-21 01:18:06.000000,482.0,49012.0,51081.0,https://anaconda.org/conda-forge/deap,2021-01-13 14:43:13.393000,117983.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n202,OCRmyPDF,jbarlow83/OCRmyPDF,,ocr,https://github.com/jbarlow83/OCRmyPDF,https://github.com/jbarlow83/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000000,2021-03-03 09:17:49.000000,2021-03-03 09:02:59.000000,431,98.0,580.0,3968,2855.0,\"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.\",50.0,27,True,2021-02-27 00:19:15.000000,11.7.0,162.0,ocrmypdf,,,,,137.0,125.0,https://pypi.org/project/ocrmypdf,2021-02-27 00:19:15.000000,12.0,8485.0,8485.0,,,,,,,,2.0,,,,,,,,,,ocrmypdf,ocrmypdf,,,,,,,,,,,\n203,sktime,alan-turing-institute/sktime,,time-series-data,https://github.com/alan-turing-institute/sktime,https://github.com/alan-turing-institute/sktime,BSD-3-Clause,2018-11-06 15:08:24.000000,2021-03-09 13:07:35.000000,2021-03-02 19:43:37.000000,462,124.0,244.0,3695,1752.0,A unified framework for machine learning with time series.,77.0,27,True,2021-02-06 11:40:49.000000,0.5.3,13.0,sktime,,,,['sklearn'],117.0,117.0,https://pypi.org/project/sktime,2021-02-06 11:40:49.000000,0.0,11614.0,11616.0,,,,,,,,1.0,57.0,,,,,,,,,,,,,,,,,,,,,\n204,InterpretML,interpretml/interpret,,interpretability,https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000000,2021-03-10 19:47:57.000000,2021-03-10 19:47:12.000000,437,52.0,121.0,3534,1488.0,Fit interpretable models. Explain blackbox machine learning.,23.0,27,True,2021-01-20 02:12:33.000000,0.2.4,34.0,interpret,,,,['jupyter'],64.0,62.0,https://pypi.org/project/interpret,2021-01-20 02:10:35.000000,2.0,9025.0,9025.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n205,lightfm,lyst/lightfm,,recommender-systems,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00.000000,2021-02-09 09:07:19.000000,2021-02-07 21:16:06.000000,567,127.0,338.0,3522,428.0,\"A Python implementation of LightFM, a hybrid recommendation algorithm.\",44.0,27,True,2020-11-27 19:48:30.000000,1.16,14.0,lightfm,conda-forge/lightfm,,,,461.0,405.0,https://pypi.org/project/lightfm,2020-11-27 19:55:08.000000,56.0,63644.0,65742.0,https://anaconda.org/conda-forge/lightfm,2021-02-07 22:19:58.097000,79731.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n206,Ignite,pytorch/ignite,,ml-frameworks,https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000000,2021-03-11 11:34:48.000000,2021-03-10 12:56:30.000000,437,104.0,649.0,3453,970.0,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,130.0,27,True,2021-03-03 23:10:39.000000,0.4.4,491.0,pytorch-ignite,pytorch/ignite,,,['pytorch'],840.0,778.0,https://pypi.org/project/pytorch-ignite,2021-03-11 00:31:18.000000,62.0,22699.0,24387.0,https://anaconda.org/pytorch/ignite,2021-03-03 23:10:32.721000,55715.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n207,Alpha Vantage,RomelTorres/alpha_vantage,,financial-data,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00.000000,2021-02-17 12:42:04.000000,2020-12-21 19:51:57.000000,574,17.0,215.0,3201,497.0,A python wrapper for Alpha Vantage API for financial data.,36.0,27,True,2020-12-21 02:37:29.000000,2.3.1,28.0,alpha_vantage,,,,,202.0,,https://pypi.org/project/alpha_vantage,2018-08-26 18:55:11.000000,202.0,14981.0,14981.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n208,Dagster,dagster-io/dagster,,data-pipelines,https://github.com/dagster-io/dagster,https://github.com/dagster-io/dagster,Apache-2.0,2018-04-30 16:30:04.000000,2021-03-11 07:56:47.000000,2021-03-11 00:12:13.000000,306,649.0,1992.0,2992,6889.0,\"A data orchestrator for machine learning, analytics, and ETL.\",120.0,27,True,2021-03-05 16:03:17.000000,0.10.9,243.0,dagster,conda-forge/dagster,,,,148.0,144.0,https://pypi.org/project/dagster,2021-03-05 15:52:45.000000,4.0,30728.0,41069.0,https://anaconda.org/conda-forge/dagster,2021-03-05 14:00:38.727000,165465.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n209,pomegranate,jmschrei/pomegranate,,probabilistics,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000000,2021-02-27 06:33:10.000000,2021-02-12 22:35:15.000000,472,38.0,546.0,2618,884.0,\"Fast, flexible and easy to use probabilistic modelling in Python.\",61.0,27,True,2021-02-12 19:38:41.000000,0.14.2,63.0,pomegranate,conda-forge/pomegranate,,,,462.0,406.0,https://pypi.org/project/pomegranate,2021-02-12 19:38:41.000000,56.0,14802.0,17216.0,https://anaconda.org/conda-forge/pomegranate,2020-11-01 16:22:04.857000,48293.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n210,plotnine,has2k1/plotnine,,data-viz,https://github.com/has2k1/plotnine,https://github.com/has2k1/plotnine,GPL-2.0,2017-04-24 19:00:44.000000,2021-03-04 15:03:24.000000,2021-03-04 15:00:47.000000,135,68.0,361.0,2596,1682.0,A grammar of graphics for Python.,82.0,27,False,2020-08-05 20:10:30.000000,0.7.1,10.0,plotnine,conda-forge/plotnine,,,,1884.0,1630.0,https://pypi.org/project/plotnine,2020-08-05 18:55:16.000000,254.0,72516.0,74603.0,https://anaconda.org/conda-forge/plotnine,2020-08-06 19:52:38.810000,96043.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n211,mrjob,Yelp/mrjob,,data-pipelines,https://github.com/Yelp/mrjob,https://github.com/Yelp/mrjob,Apache-2.0,2010-10-13 18:35:21.000000,2020-12-24 22:44:29.424000,2020-11-16 22:20:52.000000,590,200.0,1089.0,2530,8622.0,Run MapReduce jobs on Hadoop or Amazon Web Services.,142.0,27,True,2020-09-17 22:26:01.000000,0.7.4,60.0,mrjob,conda-forge/mrjob,,,,806.0,694.0,https://pypi.org/project/mrjob,2020-09-17 22:26:01.000000,112.0,49606.0,55686.0,https://anaconda.org/conda-forge/mrjob,2020-12-24 22:44:29.424000,328324.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n212,Jina,jina-ai/jina,,ml-frameworks,https://github.com/jina-ai/jina,https://github.com/jina-ai/jina,Apache-2.0,2020-02-13 17:04:44.000000,2021-03-11 14:24:25.000000,2021-03-11 13:17:01.000000,370,60.0,632.0,2507,4983.0,An easier way to build neural search on the cloud.,87.0,27,True,2021-03-07 23:13:31.000000,1.0.8,458.0,jina,,jinaai/jina,,,49.0,49.0,https://pypi.org/project/jina,2021-03-10 22:25:36.000000,,4424.0,17418.0,,,,https://hub.docker.com/r/jinaai/jina,2021-03-11 13:32:30.877825,1.0,168926.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n213,eli5,TeamHG-Memex/eli5,,interpretability,https://github.com/TeamHG-Memex/eli5,https://github.com/TeamHG-Memex/eli5,MIT,2016-09-15 01:04:57.000000,2021-01-25 08:24:59.385000,2020-01-22 07:39:36.000000,296,145.0,110.0,2313,1198.0,A library for debugging/inspecting machine learning classifiers and explaining their predictions.,14.0,27,False,2021-01-23 14:25:24.000000,0.11.0,28.0,eli5,conda-forge/eli5,,,,110.0,,https://pypi.org/project/eli5,2021-01-23 14:25:24.000000,110.0,132153.0,134097.0,https://anaconda.org/conda-forge/eli5,2021-01-25 08:24:59.385000,89431.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n214,implicit,benfred/implicit,,recommender-systems,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000000,2021-02-10 05:30:09.000000,2021-02-10 05:29:05.000000,484,85.0,258.0,2277,301.0,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,29.0,27,True,2020-09-15 22:01:38.000000,0.4.4,34.0,implicit,conda-forge/implicit,,,,419.0,375.0,https://pypi.org/project/implicit,2020-09-15 22:01:38.000000,44.0,63756.0,69159.0,https://anaconda.org/conda-forge/implicit,2020-11-24 06:44:37.378000,205314.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n215,Cufflinks,santosjorge/cufflinks,,data-viz,https://github.com/santosjorge/cufflinks,https://github.com/santosjorge/cufflinks,MIT,2014-11-19 20:59:33.000000,2021-02-25 05:05:09.000000,2021-02-25 05:05:09.000000,535,81.0,121.0,2109,452.0,Productivity Tools for Plotly + Pandas.,38.0,27,True,2020-03-01 17:42:01.000000,0.17.3,27.0,cufflinks,,,,['pandas'],3065.0,2831.0,https://pypi.org/project/cufflinks,2020-03-01 17:42:01.000000,234.0,41691.0,41691.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n216,ta,bukosabino/ta,,financial-data,https://github.com/bukosabino/ta,https://github.com/bukosabino/ta,MIT,2018-01-02 18:08:48.000000,2021-03-09 15:23:43.000000,2020-11-29 21:08:14.000000,486,72.0,84.0,1897,582.0,Technical Analysis Library using Pandas and Numpy.,23.0,27,True,2020-11-29 10:49:09.000000,0.7.0,49.0,ta,,,,,458.0,446.0,https://pypi.org/project/ta,2020-11-29 10:49:09.000000,12.0,24528.0,24528.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n217,TF-Agents,tensorflow/agents,,reinforcement-learning,https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000000,2021-03-10 21:38:21.000000,2021-03-10 21:37:47.000000,479,111.0,319.0,1827,1656.0,\"TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.\",87.0,27,True,2021-01-05 18:41:58.000000,0.7.1,18.0,tf-agents,,,,['tensorflow'],408.0,396.0,https://pypi.org/project/tf-agents,2021-01-05 18:41:58.000000,12.0,5676.0,5676.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n218,Foolbox,bethgelab/foolbox,,adversarial,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48.000000,2021-02-23 22:41:42.000000,2021-02-23 07:07:05.000000,332,54.0,264.0,1810,1641.0,\"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.\",31.0,27,True,2021-02-23 07:09:34.000000,3.3.1,68.0,foolbox,,,,,193.0,175.0,https://pypi.org/project/foolbox,2021-02-23 07:07:53.000000,18.0,1491.0,1491.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n219,filterpy,rlabbe/filterpy,,probabilistics,https://github.com/rlabbe/filterpy,https://github.com/rlabbe/filterpy,MIT,2014-07-15 02:15:19.000000,2021-03-02 14:46:47.000000,2021-02-08 17:55:48.000000,408,21.0,150.0,1728,536.0,\"Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman..\",33.0,27,True,2018-10-10 22:38:24.000000,1.4.5,48.0,filterpy,conda-forge/filterpy,,,,954.0,742.0,https://pypi.org/project/filterpy,2018-10-10 22:38:24.000000,212.0,16458.0,17742.0,https://anaconda.org/conda-forge/filterpy,2020-05-05 21:13:59.073000,57780.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n220,MNE,mne-tools/mne-python,,medical-data,https://github.com/mne-tools/mne-python,https://github.com/mne-tools/mne-python,BSD-3-Clause,2011-01-28 03:31:13.000000,2021-03-11 15:01:02.000000,2021-03-11 14:43:21.000000,860,334.0,3172.0,1527,,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,236.0,27,True,2020-12-17 15:32:54.000000,0.22.0,50.0,mne,conda-forge/mne,,,,1056.0,858.0,https://pypi.org/project/mne,2020-12-17 15:32:54.000000,198.0,13625.0,15895.0,https://anaconda.org/conda-forge/mne,2020-12-20 21:44:36.472000,111267.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n221,Flax,google/flax,,ml-frameworks,https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000000,2021-03-11 13:51:13.000000,2021-03-11 10:04:39.000000,184,145.0,168.0,1515,1729.0,Flax is a neural network ecosystem for JAX that is designed for flexibility.,80.0,27,True,2021-03-01 15:56:50.000000,0.3.2,11.0,flax,,,,['jax'],116.0,110.0,https://pypi.org/project/flax,2021-03-01 15:56:50.000000,6.0,51984.0,51985.0,,,,,,,,3.0,23.0,,,,,,,,,,,,,,,,,,,,,\n222,Cartopy,mapbox/rasterio,,geospatial-data,https://github.com/mapbox/rasterio,https://github.com/mapbox/rasterio,LGPL-3.0,2013-11-04 16:36:27.000000,2021-03-09 17:06:56.000000,2021-03-03 15:24:29.000000,394,137.0,1218.0,1447,3281.0,Rasterio reads and writes geospatial raster datasets.,107.0,27,False,2020-05-04 03:02:47.000000,0.18.0,19.0,Cartopy,conda-forge/cartopy,,,,3196.0,2850.0,https://pypi.org/project/Cartopy,2020-05-04 03:02:47.000000,346.0,17240.0,40813.0,https://anaconda.org/conda-forge/cartopy,2021-03-04 22:18:05.063000,1413804.0,,,,,3.0,704.0,,,,,,,,,,,,,,,,,,,,,\n223,datasketch,ekzhu/datasketch,,data-containers,https://github.com/ekzhu/datasketch,https://github.com/ekzhu/datasketch,MIT,2015-03-20 01:21:46.000000,2021-02-24 19:51:10.000000,2021-02-24 19:46:37.000000,207,20.0,92.0,1439,194.0,\"MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble.\",17.0,27,True,2020-12-23 21:01:43.000000,1.5.3,75.0,datasketch,,,,,346.0,260.0,https://pypi.org/project/datasketch,2020-12-23 21:01:43.000000,86.0,129488.0,129488.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,,,,\n224,GPflow,GPflow/GPflow,,probabilistics,https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000000,2021-03-07 14:05:45.000000,2021-03-07 14:05:42.000000,389,86.0,604.0,1400,2203.0,Gaussian processes in TensorFlow.,70.0,27,True,2020-12-01 13:12:15.000000,2.1.4,28.0,gpflow,conda-forge/gpflow,,,['tensorflow'],260.0,226.0,https://pypi.org/project/gpflow,2020-12-01 13:12:15.000000,34.0,1773.0,2019.0,https://anaconda.org/conda-forge/gpflow,2018-11-06 08:51:39.744000,8366.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n225,Model Analysis,tensorflow/model-analysis,,interpretability,https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000000,2021-03-10 02:16:35.000000,2021-03-10 02:16:30.000000,212,27.0,35.0,1046,922.0,Model analysis tools for TensorFlow.,34.0,27,True,2021-02-23 19:09:00.000000,0.28.0,35.0,tensorflow-model-analysis,,,,\"['tensorflow', 'jupyter']\",20.0,,https://pypi.org/project/tensorflow-model-analysis,2021-02-23 19:09:00.000000,20.0,5078029.0,5078029.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n226,petl,petl-developers/petl,,data-pipelines,https://github.com/petl-developers/petl,https://github.com/petl-developers/petl,MIT,2011-08-19 09:51:03.000000,2021-02-23 21:08:43.000000,2021-02-04 17:18:53.000000,151,68.0,342.0,857,1131.0,Python Extract Transform and Load Tables of Data.,44.0,27,True,2021-02-04 19:33:48.000000,1.7.2,77.0,petl,conda-forge/petl,,http://petl.readthedocs.org,,445.0,331.0,https://pypi.org/project/petl,2021-02-04 19:33:48.000000,114.0,12220.0,12609.0,https://anaconda.org/conda-forge/petl,2021-02-04 21:23:53.862000,21017.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n227,igraph,igraph/python-igraph,,graph,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16.000000,2021-03-10 16:26:23.000000,2021-03-10 16:26:19.000000,181,23.0,272.0,794,1648.0,Python interface for igraph.,49.0,27,False,2021-02-26 01:30:51.000000,0.9.0,18.0,python-igraph,conda-forge/igraph,,,,1920.0,1496.0,https://pypi.org/project/python-igraph,2020-10-08 12:41:40.000000,424.0,36593.0,42275.0,https://anaconda.org/conda-forge/igraph,2021-03-02 14:41:54.473000,204101.0,,,,,1.0,81606.0,,,,,,,,,,,,,,,,,,,,,\n228,patsy,pydata/patsy,,probabilistics,https://github.com/pydata/patsy,https://github.com/pydata/patsy,BSD-2-Clause,2012-07-10 12:30:06.000000,2020-09-09 13:00:29.000000,2018-10-31 21:55:48.000000,85,78.0,52.0,742,517.0,Describing statistical models in Python using symbolic formulas.,13.0,27,False,2018-10-28 05:07:55.000000,0.5.1,8.0,patsy,conda-forge/patsy,,,,35990.0,31066.0,https://pypi.org/project/patsy,2018-10-28 03:59:51.000000,4924.0,1124692.0,1173789.0,https://anaconda.org/conda-forge/patsy,2018-10-28 05:21:35.412000,2700363.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n229,PyVista,pyvista/pyvista,,data-viz,https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000000,2021-03-10 05:02:13.450000,2021-03-09 19:54:21.000000,149,135.0,292.0,722,2143.0,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,55.0,27,True,2021-03-09 20:06:56.000000,0.29.0,39.0,pyvista,conda-forge/pyvista,,,['jupyter'],294.0,268.0,https://pypi.org/project/pyvista,2021-03-09 20:06:56.000000,26.0,10134.0,13166.0,https://anaconda.org/conda-forge/pyvista,2021-03-10 05:02:13.450000,66684.0,,,,,2.0,64.0,,,,,,,,,,,,,,,,,,,,,\n230,data-validation,tensorflow/data-validation,,data-viz,https://github.com/tensorflow/data-validation,https://github.com/tensorflow/data-validation,Apache-2.0,2018-07-02 15:47:02.000000,2021-03-10 23:54:47.000000,2021-03-10 23:54:43.000000,95,38.0,77.0,528,580.0,Library for exploring and validating machine learning data.,20.0,27,True,2021-02-24 01:58:44.000000,0.28.0,25.0,tensorflow-data-validation,,,,\"['tensorflow', 'jupyter']\",259.0,241.0,https://pypi.org/project/tensorflow-data-validation,2021-02-24 02:22:50.000000,18.0,5221461.0,5221467.0,,,,,,,,2.0,208.0,,,,,,,,,,,,,,,,,,,,,\n231,DIPY,dipy/dipy,,medical-data,https://github.com/dipy/dipy,https://github.com/dipy/dipy,BSD-3-Clause,2010-02-06 11:43:08.000000,2021-03-09 17:56:53.000000,2021-02-19 20:49:08.000000,313,156.0,575.0,393,11388.0,\"DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal..\",118.0,27,True,2020-11-05 17:35:53.000000,1.3.0,21.0,dipy,conda-forge/dipy,,,,431.0,337.0,https://pypi.org/project/dipy,2020-11-05 17:35:53.000000,94.0,4270.0,7567.0,https://anaconda.org/conda-forge/dipy,2020-11-14 18:28:50.683000,191261.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n232,CNTK,microsoft/CNTK,,ml-frameworks,https://github.com/microsoft/CNTK,https://github.com/microsoft/CNTK,MIT,2015-11-26 09:52:06.000000,2020-12-09 22:21:57.000000,2020-03-31 15:55:14.000000,4409,836.0,2519.0,16976,16116.0,\"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.\",266.0,26,True,2019-04-26 14:13:32.000000,2.7,32.0,cntk,,,,,34.0,,https://pypi.org/project/cntk,2020-12-09 22:21:57.000000,34.0,909.0,1128.0,,,,,,,,3.0,13637.0,,,,,,,,,,,,,,,,,,,,,\n233,detectron2,facebookresearch/detectron2,,image,https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000000,2021-03-11 13:57:10.000000,2021-03-11 13:57:05.000000,3924,89.0,2203.0,15343,1013.0,Detectron2 is FAIR's next-generation platform for object detection and segmentation.,148.0,26,True,2020-11-06 03:20:56.000000,0.3,7.0,,conda-forge/detectron2,,,['pytorch'],177.0,177.0,,,,,1458.0,https://anaconda.org/conda-forge/detectron2,2020-08-05 13:27:52.058000,14582.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n234,NNI,microsoft/nni,,hyperopt,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44.000000,2021-03-11 14:44:10.000000,2021-03-10 23:52:38.000000,1246,255.0,890.0,9258,1994.0,\"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..\",123.0,26,True,2021-03-10 12:14:49.000000,2.1,39.0,nni,,,,,108.0,92.0,https://pypi.org/project/nni,2021-03-10 11:53:09.000000,16.0,1094.0,1094.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n235,InsightFace,deepinsight/insightface,,image,https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,MIT,2017-09-01 00:36:51.000000,2021-03-11 05:13:10.000000,2021-03-11 05:13:01.000000,2966,719.0,658.0,8693,1489.0,Face Analysis Project on MXNet.,15.0,26,True,2019-09-07 13:47:11.000000,0.1.5,6.0,insightface,,,,['mxnet'],55.0,53.0,https://pypi.org/project/insightface,2019-09-07 13:47:11.000000,2.0,2748.0,2748.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n236,PySyft,OpenMined/PySyft,,privacy-ml,https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,Apache-2.0,2017-07-18 20:41:16.000000,2021-03-11 13:46:46.000000,2021-03-11 05:41:39.000000,1571,189.0,2558.0,6940,6515.0,A library for answering questions using data you cannot see.,353.0,26,True,2020-11-12 19:57:58.000000,0.3.0,49.0,syft,,,,['pytorch'],6.0,,https://pypi.org/project/syft,2020-11-12 19:57:58.000000,6.0,1136.0,1136.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n237,dgl,dmlc/dgl,,graph,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000000,2021-03-11 14:39:22.000000,2021-03-09 09:08:59.000000,1378,240.0,735.0,6848,1604.0,\"Python package built to ease deep learning on graph, on top of existing DL frameworks.\",110.0,26,True,2021-03-09 18:23:16.000000,0.6.0post1,386.0,dgl,,,,,30.0,,https://pypi.org/project/dgl,2021-03-10 09:49:10.000000,30.0,14159.0,14159.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n238,backtrader,mementum/backtrader,,financial-data,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52.000000,2021-03-08 09:51:25.000000,2021-02-11 20:51:09.000000,1859,21.0,,5908,2383.0,Python Backtesting library for trading strategies.,51.0,26,False,,,155.0,backtrader,,,,,551.0,481.0,https://pypi.org/project/backtrader,2020-07-03 13:02:14.000000,70.0,10893.0,10893.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n239,carla,carla-simulator/carla,,others,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000000,2021-03-11 14:05:11.000000,2021-02-16 14:27:47.000000,1689,325.0,2735.0,5688,4760.0,Open-source simulator for autonomous driving research.,122.0,26,True,2020-12-23 07:08:35.000000,0.9.11,22.0,carla,,,,,64.0,60.0,https://pypi.org/project/carla,2019-04-28 17:45:24.000000,4.0,373.0,373.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n240,auto-sklearn,automl/auto-sklearn,,hyperopt,https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10.000000,2021-03-11 10:32:47.000000,2021-02-17 13:53:31.000000,980,126.0,588.0,5274,2424.0,Automated Machine Learning with scikit-learn.,63.0,26,True,2021-02-17 13:56:10.000000,0.12.3,27.0,auto-sklearn,,,,['sklearn'],167.0,137.0,https://pypi.org/project/auto-sklearn,2021-02-17 13:54:45.000000,30.0,4988.0,4988.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n241,DeepPavlov,deepmipt/DeepPavlov,,nlp,https://github.com/deepmipt/DeepPavlov,https://github.com/deepmipt/DeepPavlov,Apache-2.0,2017-11-17 14:35:29.000000,2021-03-11 06:01:45.000000,2020-12-24 16:30:15.000000,904,100.0,451.0,5066,2579.0,An open source library for deep learning end-to-end dialog systems and chatbots.,61.0,26,True,2020-12-24 16:35:56.000000,0.14.0,41.0,deeppavlov,,,,['tensorflow'],188.0,180.0,https://pypi.org/project/deeppavlov,2020-12-24 16:33:49.000000,8.0,6473.0,6473.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n242,Datasette,simonw/datasette,,others,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000000,2021-03-10 18:26:59.000000,2021-03-10 18:26:39.000000,273,251.0,763.0,4796,1591.0,An open source multi-tool for exploring and publishing data.,45.0,26,True,2021-02-19 02:02:29.000000,0.55,91.0,datasette,,,,,450.0,380.0,https://pypi.org/project/datasette,2021-02-19 02:07:42.000000,70.0,4974.0,4974.0,,,,,,,,2.0,29.0,,,,,,,,,datasette,,,,,,,,,,,,\n243,scikit-surprise,NicolasHug/Surprise,,recommender-systems,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38.000000,2020-10-13 01:22:58.850000,2020-08-05 17:45:59.000000,833,35.0,286.0,4737,622.0,A Python scikit for building and analyzing recommender systems.,38.0,26,True,2020-07-19 14:50:48.000000,1.1.1,9.0,scikit-surprise,conda-forge/scikit-surprise,,,,978.0,930.0,https://pypi.org/project/scikit-surprise,2020-07-19 14:50:48.000000,48.0,20171.0,24404.0,https://anaconda.org/conda-forge/scikit-surprise,2020-10-13 01:22:58.850000,160857.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n244,Metaflow,Netflix/metaflow,,ml-experiments,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000000,2021-03-10 18:00:16.000000,2021-03-08 21:03:07.000000,340,126.0,145.0,4157,191.0,Build and manage real-life data science projects with ease.,29.0,26,True,2021-02-09 01:25:56.000000,2.2.7,17.0,metaflow,conda-forge/metaflow,,,,110.0,108.0,https://pypi.org/project/metaflow,2021-02-09 01:25:56.000000,2.0,9090.0,9911.0,https://anaconda.org/conda-forge/metaflow,2021-02-09 03:50:36.131000,12318.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n245,skorch,skorch-dev/skorch,,ml-frameworks,https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000000,2021-02-07 15:39:41.000000,2021-02-07 15:39:41.000000,282,45.0,325.0,3820,945.0,A scikit-learn compatible neural network library that wraps PyTorch.,39.0,26,True,2020-08-30 10:46:40.000000,0.9.0,12.0,skorch,conda-forge/skorch,,,\"['pytorch', 'sklearn']\",307.0,281.0,https://pypi.org/project/skorch,2020-08-30 10:43:37.000000,26.0,5757.0,12641.0,https://anaconda.org/conda-forge/skorch,2020-09-19 04:12:07.576000,206529.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n246,mlpack,mlpack/mlpack,,ml-frameworks,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59.000000,2021-03-11 02:01:34.000000,2021-03-10 14:24:41.000000,1325,149.0,1212.0,3586,26049.0,mlpack: a scalable C++ machine learning library --.,268.0,26,True,2020-10-28 18:28:47.000000,3.4.2,40.0,mlpack,conda-forge/mlpack,,,,0.0,,https://pypi.org/project/mlpack,2020-10-28 18:28:47.000000,0.0,104.0,2213.0,https://anaconda.org/conda-forge/mlpack,2020-10-29 09:35:18.918000,67504.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n247,pyfolio,quantopian/pyfolio,,financial-data,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39.000000,2020-07-29 16:06:37.000000,2020-07-15 13:46:58.000000,1112,125.0,263.0,3571,1184.0,Portfolio and risk analytics in Python.,55.0,26,True,2019-04-15 15:00:21.000000,0.9.2,22.0,pyfolio,conda-forge/pyfolio,,,,261.0,207.0,https://pypi.org/project/pyfolio,2019-04-15 15:00:21.000000,54.0,2807.0,2962.0,https://anaconda.org/conda-forge/pyfolio,2020-05-16 14:11:57.267000,5754.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n248,Perspective,finos/perspective,,data-viz,https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000000,2021-03-10 00:10:43.000000,2021-03-05 19:20:40.000000,351,78.0,312.0,3253,4365.0,Streaming pivot visualization via WebAssembly.,62.0,26,True,2021-02-24 14:38:08.000000,0.6.1,40.0,perspective-python,,,,['jupyter'],187.0,179.0,https://pypi.org/project/perspective-python,2021-02-24 14:38:08.000000,8.0,574.0,2554.0,,,,,,,,3.0,,,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2021-02-12 04:20:19.050000,,1980.0,,,,,,,,,,,,,,\n249,AutoGluon,awslabs/autogluon,,hyperopt,https://github.com/awslabs/autogluon,https://github.com/awslabs/autogluon,Apache-2.0,2019-07-29 18:51:24.000000,2021-03-11 03:29:08.000000,2021-03-10 17:28:56.000000,393,103.0,307.0,3038,554.0,\"AutoGluon: AutoML for Text, Image, and Tabular Data.\",53.0,26,True,2021-03-01 22:07:04.000000,0.1.0,350.0,autogluon,,,,['mxnet'],46.0,46.0,https://pypi.org/project/autogluon,2021-03-09 09:18:17.000000,0.0,12115.0,12115.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n250,textract,deanmalmgren/textract,,data-loading,https://github.com/deanmalmgren/textract,https://github.com/deanmalmgren/textract,MIT,2014-07-03 20:36:59.000000,2021-03-06 09:05:26.000000,2019-11-14 08:37:39.000000,424,84.0,121.0,2970,556.0,extract text from any document. no muss. no fuss.,30.0,26,False,2019-08-26 15:05:53.000000,1.6.3,15.0,textract,conda-forge/textract,,,,192.0,,https://pypi.org/project/textract,2019-08-26 15:05:53.000000,192.0,18387.0,18585.0,https://anaconda.org/conda-forge/textract,2017-03-20 21:15:33.254000,10692.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n251,ftfy,LuminosoInsight/python-ftfy,,nlp,https://github.com/LuminosoInsight/python-ftfy,https://github.com/LuminosoInsight/python-ftfy,MIT,2012-08-24 16:14:59.000000,2021-02-26 21:01:20.000000,2021-02-11 19:54:35.000000,101,12.0,98.0,2902,524.0,\"Fixes mojibake and other glitches in Unicode text, after the fact.\",17.0,26,True,2020-02-18 16:42:00.000000,5.6.1,42.0,ftfy,conda-forge/ftfy,,,,3631.0,2871.0,https://pypi.org/project/ftfy,2021-02-11 19:55:25.000000,760.0,274386.0,276427.0,https://anaconda.org/conda-forge/ftfy,2021-01-20 08:08:09.562000,95953.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n252,nevergrad,facebookresearch/nevergrad,,hyperopt,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000000,2021-03-10 14:39:59.000000,2021-03-10 10:44:31.000000,272,80.0,126.0,2846,792.0,A Python toolbox for performing gradient-free optimization.,42.0,26,True,2021-01-28 12:05:40.000000,0.4.3,27.0,nevergrad,conda-forge/nevergrad,,,,158.0,144.0,https://pypi.org/project/nevergrad,2021-01-28 12:05:40.000000,14.0,11436.0,12036.0,https://anaconda.org/conda-forge/nevergrad,2020-12-14 18:21:29.267000,6602.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n253,DeepChem,deepchem/deepchem,,others,https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000000,2021-03-11 14:33:39.000000,2021-03-09 22:58:15.000000,935,354.0,861.0,2791,6275.0,\"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.\",149.0,26,True,2021-01-13 21:21:38.000000,2.4.0,224.0,deepchem,,,,['tensorflow'],41.0,37.0,https://pypi.org/project/deepchem,2021-03-09 23:00:37.000000,4.0,1765.0,1765.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n254,missingno,ResidentMario/missingno,,data-viz,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50.000000,2020-12-28 16:13:39.000000,2020-12-28 16:13:38.000000,347,15.0,88.0,2679,170.0,Missing data visualization module for Python.,15.0,26,True,2019-07-09 16:05:14.000000,0.4.2,22.0,missingno,conda-forge/missingno,,,,3225.0,3073.0,https://pypi.org/project/missingno,2019-07-09 16:05:14.000000,152.0,121678.0,123463.0,https://anaconda.org/conda-forge/missingno,2020-02-15 10:07:41.253000,78574.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n255,Catalyst,catalyst-team/catalyst,,ml-experiments,https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13.000000,2021-03-11 07:43:55.000000,2021-01-21 11:13:00.000000,281,13.0,270.0,2467,1469.0,Accelerated deep learning R&D.,81.0,26,True,2020-12-20 10:12:32.000000,20.12,88.0,catalyst,,,,['pytorch'],353.0,315.0,https://pypi.org/project/catalyst,2021-02-03 07:06:09.000000,38.0,3793.0,3793.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n256,gpustat,wookayin/gpustat,,gpu-utilities,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43.000000,2021-02-01 09:12:28.000000,2021-01-13 04:00:20.000000,183,20.0,49.0,2257,166.0,A simple command-line utility for querying and monitoring GPU status.,10.0,26,True,2019-07-22 06:37:00.000000,0.6.0,11.0,gpustat,conda-forge/gpustat,,,,732.0,674.0,https://pypi.org/project/gpustat,2021-01-02 05:59:41.000000,58.0,168790.0,170010.0,https://anaconda.org/conda-forge/gpustat,2020-11-24 19:59:04.772000,29289.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n257,GluonNLP,dmlc/gluon-nlp,,nlp,https://github.com/dmlc/gluon-nlp,https://github.com/dmlc/gluon-nlp,Apache-2.0,2018-04-04 20:57:13.000000,2021-03-10 20:08:12.000000,2021-02-26 17:34:18.000000,508,252.0,288.0,2233,825.0,\"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..\",81.0,26,True,2020-08-13 19:17:42.000000,0.10.0,26.0,gluonnlp,,,,['mxnet'],442.0,420.0,https://pypi.org/project/gluonnlp,2020-08-13 19:17:42.000000,22.0,21904.0,21904.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n258,Core ML Tools,apple/coremltools,,model-serialisation,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000000,2021-03-10 06:40:34.000000,2021-03-10 06:40:34.000000,349,342.0,335.0,2129,864.0,\"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.\",110.0,26,True,2021-02-05 02:07:15.000000,4.1,28.0,coremltools,,,,,741.0,475.0,https://pypi.org/project/coremltools,2021-02-05 01:28:44.000000,266.0,28972.0,29031.0,,,,,,,,1.0,2493.0,,,,,,,,,,,,,,,,,,,,,\n259,aubio,aubio/aubio,,audio,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44.000000,2021-01-19 16:59:52.641000,2021-01-19 09:51:49.000000,297,108.0,173.0,2059,4111.0,a library for audio and music analysis.,24.0,26,False,2019-02-27 09:00:43.000000,0.4.9,10.0,aubio,conda-forge/aubio,,,,249.0,213.0,https://pypi.org/project/aubio,2019-02-08 11:21:02.000000,36.0,994.0,9252.0,https://anaconda.org/conda-forge/aubio,2021-01-19 16:59:52.641000,396407.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n260,TextDistance,life4/textdistance,,nlp,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10.000000,2021-01-29 15:41:57.288000,2021-01-29 09:03:55.000000,165,9.0,,1929,304.0,\"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..\",9.0,26,True,2021-01-29 09:04:46.000000,.4.2.1,21.0,textdistance,conda-forge/textdistance,,,,423.0,395.0,https://pypi.org/project/textdistance,2021-01-29 09:03:27.000000,28.0,95127.0,95923.0,https://anaconda.org/conda-forge/textdistance,2021-01-29 15:41:57.288000,27006.0,,,,,2.0,104.0,,,,,,,,,,,,,,,,,,,,,\n261,BoTorch,pytorch/botorch,,hyperopt,https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000000,2021-03-11 07:33:22.000000,2021-03-10 16:09:03.000000,183,50.0,132.0,1860,859.0,Bayesian optimization in PyTorch.,52.0,26,True,2021-02-23 21:33:59.000000,0.4.0,16.0,botorch,,,,['pytorch'],95.0,95.0,https://pypi.org/project/botorch,2020-12-08 06:47:25.000000,0.0,30644.0,30644.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n262,PyFunctional,EntilZha/PyFunctional,,data-pipelines,https://github.com/EntilZha/PyFunctional,https://github.com/EntilZha/PyFunctional,MIT,2015-02-05 17:17:51.000000,2021-03-03 14:08:08.000000,2021-03-03 14:08:00.000000,99,2.0,116.0,1801,517.0,Python library for creating data pipelines with chain functional programming.,23.0,26,True,2021-01-12 19:21:07.000000,1.4.3,14.0,pyfunctional,,,,,265.0,265.0,https://pypi.org/project/pyfunctional,2021-01-12 19:14:48.000000,0.0,26751.0,26751.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n263,langid,saffsd/langid.py,,nlp,https://github.com/saffsd/langid.py,https://github.com/saffsd/langid.py,BSD-3-Clause,2011-04-29 00:16:56.000000,2020-01-01 10:49:30.000000,2017-07-15 02:49:17.000000,265,25.0,45.0,1739,242.0,Stand-alone language identification system.,9.0,26,False,2016-04-05 22:34:15.000000,1.1.6,8.0,langid,,,,,884.0,634.0,https://pypi.org/project/langid,2016-04-05 22:34:15.000000,250.0,318952.0,318952.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n264,textacy,chartbeat-labs/textacy,,nlp,https://github.com/chartbeat-labs/textacy,https://github.com/chartbeat-labs/textacy,Apache-2.0,2016-02-03 16:52:45.000000,2021-03-09 17:57:45.000000,2021-01-09 19:21:48.000000,215,35.0,194.0,1618,1332.0,\"NLP, before and after spaCy.\",29.0,26,True,2020-08-29 20:51:28.000000,0.10.1,29.0,textacy,conda-forge/textacy,,,,154.0,,https://pypi.org/project/textacy,2020-08-29 20:51:28.000000,154.0,32090.0,33804.0,https://anaconda.org/conda-forge/textacy,2020-11-19 15:32:56.211000,78849.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n265,tesserocr,sirfz/tesserocr,,ocr,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36.000000,2021-01-18 20:15:27.000000,2021-01-18 20:15:13.000000,196,61.0,147.0,1415,155.0,A Python wrapper for the tesseract-ocr API.,23.0,26,True,2020-03-17 17:45:44.000000,2.5.1,15.0,tesserocr,conda-forge/tesserocr,,,,572.0,472.0,https://pypi.org/project/tesserocr,2020-03-17 17:45:44.000000,100.0,31611.0,33811.0,https://anaconda.org/conda-forge/tesserocr,2021-01-13 16:38:14.456000,37400.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n266,jellyfish,jamesturk/jellyfish,,nlp,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,BSD-2-Clause,2010-07-09 20:41:11.000000,2021-03-10 20:28:00.000000,2021-03-10 20:27:59.000000,125,11.0,86.0,1412,,a python library for doing approximate and phonetic matching of strings.,21.0,26,True,2020-05-21 20:37:01.000000,0.8.2,27.0,jellyfish,conda-forge/jellyfish,,,,2810.0,2164.0,https://pypi.org/project/jellyfish,2020-05-21 20:37:01.000000,646.0,580376.0,582506.0,https://anaconda.org/conda-forge/jellyfish,2021-01-08 15:04:47.681000,115044.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n267,hnswlib,nmslib/hnswlib,,nn-search,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000000,2021-03-10 09:02:24.000000,2021-02-04 04:34:33.000000,251,82.0,108.0,1385,275.0,Header-only C++/python library for fast approximate nearest neighbors.,41.0,26,True,2021-02-04 04:55:19.000000,0.5.1,5.0,hnswlib,,,,,102.0,100.0,https://pypi.org/project/hnswlib,2021-02-04 04:55:19.000000,2.0,13989.0,13989.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n268,agate,wireservice/agate,,others,https://github.com/wireservice/agate,https://github.com/wireservice/agate,MIT,2014-04-25 13:59:09.000000,2021-03-10 22:20:57.000000,2021-03-10 22:04:12.000000,133,54.0,588.0,1032,1356.0,A Python data analysis library that is optimized for humans instead of machines.,47.0,26,True,2018-03-11 14:37:30.000000,1.6.1,24.0,agate,conda-forge/agate,,,,752.0,510.0,https://pypi.org/project/agate,2018-03-11 14:37:30.000000,242.0,173670.0,174916.0,https://anaconda.org/conda-forge/agate,2018-08-19 06:02:58.597000,61061.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n269,Mesh,tensorflow/mesh,,distributed-ml,https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34.000000,2021-03-10 17:08:22.000000,2021-03-05 17:01:22.000000,152,72.0,13.0,906,590.0,Mesh TensorFlow: Model Parallelism Made Easier.,40.0,26,True,2020-12-17 23:10:07.000000,0.1.18,24.0,mesh-tensorflow,,,,['tensorflow'],557.0,501.0,https://pypi.org/project/mesh-tensorflow,2020-12-17 23:10:07.000000,56.0,47152.0,47152.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n270,pmdarima,alkaline-ml/pmdarima,,time-series-data,https://github.com/alkaline-ml/pmdarima,https://github.com/alkaline-ml/pmdarima,MIT,2017-03-30 14:58:30.000000,2021-02-24 12:56:43.000000,2021-02-24 12:47:29.000000,155,18.0,209.0,833,1026.0,\"A statistical library designed to fill the void in Python's time series analysis capabilities, including the..\",17.0,26,True,2020-12-02 23:17:04.000000,1.8.0,28.0,pmdarima,,,,,802.0,790.0,https://pypi.org/project/pmdarima,2020-12-02 23:17:04.000000,12.0,179130.0,179130.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n271,pyclustering,annoviko/pyclustering,,others,https://github.com/annoviko/pyclustering,https://github.com/annoviko/pyclustering,BSD-3-Clause,2014-02-25 18:59:03.000000,2021-02-12 23:22:26.000000,2021-02-12 19:04:59.000000,186,53.0,584.0,804,2079.0,\"pyclustring is a Python, C++ data mining library.\",26.0,26,True,2020-11-25 22:33:07.000000,0.10.1.2,46.0,pyclustering,conda-forge/pyclustering,,,,221.0,185.0,https://pypi.org/project/pyclustering,2020-11-25 22:41:20.000000,36.0,15372.0,16434.0,https://anaconda.org/conda-forge/pyclustering,2021-01-25 21:14:55.053000,15866.0,,,,,2.0,295.0,,,,,,,,,,,,,,,,,,,,,\n272,pythreejs,jupyter-widgets/pythreejs,,data-viz,https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,BSD-3-Clause,2013-12-23 17:02:11.000000,2021-03-02 13:32:39.505000,2021-02-26 14:01:59.000000,158,63.0,141.0,711,1659.0,A Jupyter - Three.js bridge.,27.0,26,True,2021-02-26 13:59:06.062000,2.3.0,43.0,pythreejs,conda-forge/pythreejs,,,['jupyter'],49.0,15.0,https://pypi.org/project/pythreejs,2021-02-26 14:01:21.000000,26.0,7129.0,23138.0,https://anaconda.org/conda-forge/pythreejs,2021-03-02 13:32:39.505000,276390.0,,,,,3.0,,,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,2021-02-26 13:59:06.062000,8.0,11244.0,,,,,,,,,,,,,,\n273,TensorFlow Text,tensorflow/text,,nlp,https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000000,2021-03-04 19:28:04.000000,2021-03-04 19:17:41.000000,87,43.0,86.0,704,361.0,Making text a first-class citizen in TensorFlow.,35.0,26,True,2021-01-13 04:36:01.000000,2.4.3,32.0,tensorflow-text,,,,['tensorflow'],520.0,516.0,https://pypi.org/project/tensorflow-text,2021-01-13 04:24:47.000000,4.0,141680.0,141680.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n274,zarr,zarr-developers/zarr-python,,data-containers,https://github.com/zarr-developers/zarr-python,https://github.com/zarr-developers/zarr-python,MIT,2015-12-15 14:49:40.000000,2021-03-11 02:19:28.000000,2021-03-09 17:50:32.000000,107,179.0,230.0,656,1389.0,\"An implementation of chunked, compressed, N-dimensional arrays for Python.\",37.0,26,True,2020-12-02 18:33:13.000000,2.6.1,31.0,zarr,conda-forge/zarr,,,,657.0,585.0,https://pypi.org/project/zarr,2020-12-02 18:33:13.000000,72.0,34572.0,45188.0,https://anaconda.org/conda-forge/zarr,2020-12-03 02:31:13.848000,615774.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n275,CLTK,cltk/cltk,,nlp,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000000,2021-03-06 20:08:23.000000,2021-03-06 20:08:23.000000,300,126.0,360.0,648,3555.0,The Classical Language Toolkit.,109.0,26,True,2021-03-06 18:28:31.000000,1.0.5,175.0,cltk,,,,,226.0,158.0,https://pypi.org/project/cltk,2021-03-06 18:28:31.000000,68.0,1188.0,1188.0,,,,,,,,2.0,22.0,,,,,,,,,,,,,,,,,,,,,\n276,geojson,jazzband/geojson,,geospatial-data,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48.000000,2020-11-25 21:55:02.000000,2020-11-25 19:10:27.000000,81,20.0,51.0,604,445.0,Python bindings and utilities for GeoJSON.,44.0,26,True,2019-08-09 20:32:15.000000,2.5.0,28.0,geojson,conda-forge/geojson,,,,7826.0,5992.0,https://pypi.org/project/geojson,2019-08-09 20:32:15.000000,1834.0,338053.0,344344.0,https://anaconda.org/conda-forge/geojson,2019-08-11 12:10:34.426000,377467.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n277,SMAC3,automl/SMAC3,,hyperopt,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-3-Clause,2016-08-17 10:58:05.000000,2021-03-10 17:42:09.000000,2020-10-29 10:14:55.000000,158,76.0,251.0,563,1888.0,Sequential Model-based Algorithm Configuration.,30.0,26,True,2020-10-29 10:57:56.000000,0.13.1,29.0,smac,,,,,58.0,,https://pypi.org/project/smac,2020-10-29 10:57:56.000000,58.0,10693.0,10693.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n278,inflect,jaraco/inflect,,nlp,https://github.com/jaraco/inflect,https://github.com/jaraco/inflect,MIT,2010-06-20 13:43:13.000000,2021-03-03 03:46:48.932000,2021-03-03 01:31:20.000000,59,10.0,63.0,493,,\"Correctly generate plurals, ordinals, indefinite articles; convert numbers to words.\",29.0,26,True,2021-03-03 01:35:47.000000,5.3.0,33.0,inflect,conda-forge/inflect,,,,1388.0,,https://pypi.org/project/inflect,2021-03-03 01:35:47.000000,1388.0,735616.0,738490.0,https://anaconda.org/conda-forge/inflect,2021-03-03 03:46:48.932000,135116.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n279,TensorFlow I/O,tensorflow/io,,tensorflow-utils,https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05.000000,2021-03-10 15:17:12.000000,2021-03-07 16:01:26.000000,150,112.0,277.0,425,1373.0,\"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.\",72.0,26,True,2020-12-15 00:45:37.000000,0.17.0,21.0,tensorflow-io,,,,['tensorflow'],123.0,123.0,https://pypi.org/project/tensorflow-io,2020-12-15 00:42:35.000000,0.0,35442.0,35442.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n280,audioread,beetbox/audioread,,audio,https://github.com/beetbox/audioread,https://github.com/beetbox/audioread,MIT,2011-11-08 19:53:18.000000,2020-12-08 20:08:37.201000,2020-10-20 11:22:05.000000,83,31.0,44.0,359,232.0,cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python.,20.0,26,True,2020-10-20 11:23:09.000000,2.1.9,25.0,audioread,conda-forge/audioread,,,,4943.0,4357.0,https://pypi.org/project/audioread,2020-10-20 11:23:09.000000,586.0,227552.0,231267.0,https://anaconda.org/conda-forge/audioread,2020-12-08 20:08:37.201000,208061.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n281,tabulator-py,frictionlessdata/tabulator-py,,data-loading,https://github.com/frictionlessdata/tabulator-py,https://github.com/frictionlessdata/tabulator-py,MIT,2015-08-24 05:34:38.000000,2021-02-24 09:38:30.000000,2021-02-24 09:38:26.000000,41,,177.0,204,653.0,Python library for reading and writing tabular data via streams.,24.0,26,True,2021-02-24 09:38:45.000000,1.53.4,139.0,tabulator,conda-forge/tabulator-py,,,,584.0,480.0,https://pypi.org/project/tabulator,2021-02-11 06:49:57.000000,104.0,62222.0,63089.0,https://anaconda.org/conda-forge/tabulator-py,2018-07-24 12:57:07.018000,39024.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n282,spleeter,deezer/spleeter,,audio,https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000000,2021-03-05 13:36:33.000000,2021-03-05 13:36:32.000000,1617,81.0,443.0,15785,457.0,Deezer source separation library including pretrained models.,17.0,25,True,2021-02-26 11:05:30.000000,2.2.0,31.0,spleeter,conda-forge/spleeter,,,['tensorflow'],0.0,,https://pypi.org/project/spleeter,2021-02-26 11:05:30.000000,0.0,4059.0,63569.0,https://anaconda.org/conda-forge/spleeter,2020-06-30 14:33:43.220000,45191.0,,,,,2.0,963676.0,,,,,,,,,,,,,,,,,,,,,\n283,MMDetection,open-mmlab/mmdetection,,image,https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000000,2021-03-11 08:47:27.000000,2021-03-10 07:42:04.000000,4799,349.0,3114.0,13899,1468.0,OpenMMLab Detection Toolbox and Benchmark.,194.0,25,True,2021-03-02 07:35:43.000000,2.10.0,10.0,,,,,['pytorch'],30.0,30.0,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n284,Ludwig,ludwig-ai/ludwig,,ml-frameworks,https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000000,2021-03-11 04:12:52.000000,2021-03-10 20:58:46.000000,887,116.0,415.0,7592,2069.0,Ludwig is a toolbox that allows to train and evaluate deep learning models without the need to write code.,86.0,25,True,2021-02-01 00:23:30.000000,0.3.3,17.0,ludwig,,,,['tensorflow'],93.0,81.0,https://pypi.org/project/ludwig,2021-02-01 00:16:18.000000,12.0,828.0,828.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n285,ParlAI,facebookresearch/ParlAI,,nlp,https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44.000000,2021-03-11 02:59:10.000000,2021-03-10 15:33:45.000000,1455,90.0,861.0,7048,3652.0,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,143.0,25,True,2021-03-01 18:32:02.000000,1.1.0,13.0,parlai,,,,['pytorch'],12.0,12.0,https://pypi.org/project/parlai,2021-01-19 19:10:47.000000,,862.0,862.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n286,Facets Overview,pair-code/facets,,data-viz,https://github.com/PAIR-code/facets,https://github.com/PAIR-code/facets,Apache-2.0,2017-07-07 14:03:03.000000,2021-02-04 17:22:42.000000,2021-02-04 17:22:41.000000,834,76.0,75.0,6521,262.0,Visualizations for machine learning datasets.,28.0,25,True,2019-07-24 15:57:06.000000,1.0.0,4.0,facets-overview,,,,['jupyter'],46.0,40.0,https://pypi.org/project/facets-overview,2019-07-24 15:57:06.000000,6.0,26444.0,26444.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n287,PyText,facebookresearch/pytext,,nlp,https://github.com/facebookresearch/pytext,https://github.com/facebookresearch/pytext,BSD-3-Clause,2018-07-31 23:40:46.000000,2021-03-11 04:55:52.000000,2021-03-11 04:55:47.000000,787,131.0,74.0,6149,1452.0,A natural language modeling framework based on PyTorch.,168.0,25,True,2020-06-08 23:30:58.000000,0.3.3,13.0,pytext-nlp,,,,['pytorch'],66.0,65.0,https://pypi.org/project/pytext-nlp,2020-06-08 22:49:33.000000,1.0,336.0,344.0,,,,,,,,2.0,223.0,,,,,,,,,,,,,,,,,,,,,\n288,Trax,google/trax,,others,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000000,2021-03-11 15:05:26.000000,2021-03-11 14:40:36.000000,551,61.0,107.0,5871,1402.0,Trax Deep Learning with Clear Code and Speed.,62.0,25,True,2020-12-18 17:22:13.000000,1.3.7,20.0,trax,,,,,22.0,22.0,https://pypi.org/project/trax,2020-12-18 17:22:13.000000,,1959.0,1959.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n289,featuretools,alteryx/featuretools,,hyperopt,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17.000000,2021-03-08 22:05:15.000000,2021-03-08 22:05:11.000000,713,100.0,410.0,5450,,An open source python library for automated feature engineering.,49.0,25,True,2021-02-26 21:00:41.000000,0.23.2,67.0,featuretools,conda-forge/featuretools,,,,755.0,685.0,https://pypi.org/project/featuretools,2021-01-29 21:44:27.000000,70.0,50064.0,51799.0,https://anaconda.org/conda-forge/featuretools,2021-03-01 23:04:08.381000,46859.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n290,Milvus,milvus-io/milvus,,nn-search,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000000,2021-03-10 10:21:40.000000,2021-03-02 02:09:19.000000,814,218.0,1980.0,5284,5583.0,\"An open source embedding vector similarity search engine powered by Faiss, NMSLIB and Annoy.\",134.0,25,True,2021-03-10 10:20:14.000000,1.0.0,46.0,pymilvus,,milvusdb/milvus,,,6.0,,https://pypi.org/project/pymilvus,2021-03-08 12:52:06.000000,6.0,4655.0,19658.0,,,,https://hub.docker.com/r/milvusdb/milvus,2021-03-05 10:28:16.600534,9.0,270066.0,2.0,,,,,,,,,,,,,,,,,,,,,,\n291,stanza,stanfordnlp/stanza,,nlp,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56.000000,2021-03-10 20:56:56.000000,2021-02-10 16:16:29.000000,661,50.0,422.0,5254,,Official Stanford NLP Python Library for Many Human Languages.,32.0,25,True,2021-01-29 20:05:25.000000,1.2.0,10.0,stanza,stanfordnlp/stanza,,,,364.0,360.0,https://pypi.org/project/stanza,2021-01-27 16:31:43.000000,4.0,13861.0,14135.0,https://anaconda.org/stanfordnlp/stanza,2021-01-27 22:24:06.992000,3297.0,,,,,2.0,,-3.0,,,,,,,,,,,,,,,,,,,,\n292,PyTorch3D,facebookresearch/pytorch3d,,image,https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,MIT,2019-10-25 02:23:45.000000,2021-03-11 11:13:53.000000,2021-03-11 11:13:48.000000,525,61.0,449.0,4565,396.0,PyTorch3D is FAIR's library of reusable components for deep learning with 3D data.,54.0,25,True,2021-02-09 23:13:45.000000,0.4.0,7.0,pytorch3d,pytorch3d/pytorch3d,,,['pytorch'],53.0,53.0,https://pypi.org/project/pytorch3d,2021-02-09 23:13:45.000000,0.0,4552.0,5031.0,https://anaconda.org/pytorch3d/pytorch3d,2021-02-09 22:34:07.773000,7667.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n293,pyAudioAnalysis,tyiannak/pyAudioAnalysis,,audio,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13.000000,2021-02-23 11:34:10.000000,2021-02-19 08:50:12.000000,963,165.0,106.0,3801,676.0,\"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.\",23.0,25,True,2020-09-29 21:30:02.000000,0.3.6,15.0,pyAudioAnalysis,,,,,207.0,185.0,https://pypi.org/project/pyAudioAnalysis,2020-09-29 21:30:02.000000,22.0,6420.0,6420.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n294,BigDL,intel-analytics/BigDL,,distributed-ml,https://github.com/intel-analytics/BigDL,https://github.com/intel-analytics/BigDL,Apache-2.0,2016-08-29 07:59:50.000000,2021-01-21 17:42:35.000000,2021-01-21 17:42:34.000000,904,182.0,727.0,3704,2659.0,BigDL: Distributed Deep Learning Framework for Apache Spark.,70.0,25,True,2021-01-05 05:55:32.000000,0.12.1,37.0,bigdl,,,,,29.0,23.0,https://pypi.org/project/bigdl,2020-12-29 06:08:45.000000,6.0,1227.0,1227.0,,,,,,,,2.0,,,,,,,,,,,,,,,com.intel.analytics.bigdl:bigdl-SPARK_2.4,https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4,2020-12-05 03:54:47.000000,0.0,,,,\n295,yellowbrick,DistrictDataLabs/yellowbrick,,interpretability,https://github.com/DistrictDataLabs/yellowbrick,https://github.com/DistrictDataLabs/yellowbrick,Apache-2.0,2016-05-18 14:12:17.000000,2021-03-10 23:39:00.000000,2021-03-10 23:39:00.000000,478,95.0,519.0,3115,848.0,Visual analysis and diagnostic tools to facilitate machine learning model selection.,97.0,25,True,2021-02-13 20:31:18.000000,1.3.post1,22.0,yellowbrick,,,,['sklearn'],62.0,,https://pypi.org/project/yellowbrick,2021-02-13 20:42:26.000000,62.0,58055.0,58055.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n296,pytorch-summary,sksq96/pytorch-summary,,pytorch-utils,https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04.000000,2021-03-11 12:50:20.000000,2020-08-07 01:16:40.000000,356,113.0,36.0,2963,56.0,Model summary in PyTorch similar to `model.summary()` in Keras.,11.0,25,True,2018-09-26 05:07:28.000000,1.5.1,12.0,torchsummary,,,,['pytorch'],2164.0,2046.0,https://pypi.org/project/torchsummary,2018-09-26 05:07:28.000000,118.0,29193.0,29193.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n297,TensorForce,tensorforce/tensorforce,,reinforcement-learning,https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22.000000,2021-03-07 21:03:48.000000,2021-03-07 21:03:54.000000,489,9.0,544.0,2893,2019.0,Tensorforce: a TensorFlow library for applied reinforcement learning.,76.0,25,True,2020-10-03 16:00:39.000000,0.6.2,12.0,tensorforce,,,,['tensorflow'],46.0,,https://pypi.org/project/tensorforce,2019-09-07 13:56:18.000000,46.0,573.0,573.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n298,vaderSentiment,cjhutto/vaderSentiment,,nlp,https://github.com/cjhutto/vaderSentiment,https://github.com/cjhutto/vaderSentiment,MIT,2014-11-17 16:31:45.000000,2020-07-17 19:47:37.000000,2020-05-22 15:33:43.000000,739,30.0,74.0,2862,122.0,VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based..,10.0,25,True,2020-05-22 15:07:00.000000,3.3.2,15.0,vadersentiment,,,,,2655.0,2369.0,https://pypi.org/project/vadersentiment,2020-05-22 15:07:00.000000,286.0,68419.0,68419.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n299,xLearn,aksnzhy/xlearn,,ml-frameworks,https://github.com/aksnzhy/xlearn,https://github.com/aksnzhy/xlearn,Apache-2.0,2017-06-10 08:09:31.000000,2021-01-28 14:17:44.000000,2020-03-03 10:12:35.000000,489,179.0,107.0,2855,1340.0,\"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..\",30.0,25,True,2019-04-25 02:10:05.000000,0.4.4,15.0,xlearn,,,,,43.0,42.0,https://pypi.org/project/xlearn,2018-12-04 11:05:06.000000,1.0,2424.0,2489.0,,,,,,,,3.0,2366.0,,,,,,,,,,,,,,,,,,,,,\n300,Chartify,spotify/chartify,,data-viz,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05.000000,2021-03-08 13:04:31.000000,2021-02-05 18:49:02.000000,254,40.0,30.0,2849,195.0,Python library that makes it easy for data scientists to create charts.,21.0,25,True,2020-11-02 22:14:08.000000,3.0.3,16.0,chartify,conda-forge/chartify,,,,57.0,52.0,https://pypi.org/project/chartify,2020-11-02 22:14:08.000000,5.0,2549.0,2995.0,https://anaconda.org/conda-forge/chartify,2020-11-07 19:52:50.628000,12494.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n301,Hub,activeloopai/Hub,,data-pipelines,https://github.com/activeloopai/Hub,https://github.com/activeloopai/Hub,MPL-2.0,2019-08-09 06:17:59.000000,2021-03-11 13:48:42.000000,2021-03-09 07:51:26.000000,207,65.0,191.0,2718,1816.0,Fastest unstructured dataset management for TensorFlow/PyTorch. Stream data real-time & version-control it...,71.0,25,True,2021-03-08 15:37:00.000000,1.3.0,85.0,hub,,,,\"['tensorflow', 'pytorch']\",171.0,119.0,https://pypi.org/project/hub,2021-03-08 15:37:00.000000,52.0,600.0,600.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n302,pygal,Kozea/pygal,,graph,https://github.com/Kozea/pygal,https://github.com/Kozea/pygal,LGPL-3.0,2011-09-23 10:17:50.000000,2020-12-24 20:11:00.000000,2020-10-14 16:41:45.000000,380,164.0,240.0,2330,1012.0,PYthon svg GrAph plotting Library.,69.0,25,False,2017-07-05 09:22:41.000000,2.4.0,74.0,pygal,conda-forge/pygal,,,,1152.0,,https://pypi.org/project/pygal,2020-10-14 13:06:35.000000,1152.0,46301.0,46580.0,https://anaconda.org/conda-forge/pygal,2019-06-04 02:55:56.728000,5870.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n303,Captum,pytorch/captum,,interpretability,https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000000,2021-03-10 22:12:41.000000,2021-03-09 05:22:00.000000,216,51.0,159.0,2201,794.0,Model interpretability and understanding for PyTorch.,69.0,25,True,2021-01-23 18:11:12.000000,0.3.1,5.0,captum,,,,['pytorch'],127.0,127.0,https://pypi.org/project/captum,2021-01-22 20:55:47.000000,0.0,6339.0,6339.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n304,spark-nlp,JohnSnowLabs/spark-nlp,,nlp,https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000000,2021-03-11 13:35:51.000000,2021-03-11 13:35:51.000000,425,72.0,363.0,1996,7176.0,State of the Art Natural Language Processing.,81.0,25,True,2021-03-05 19:30:21.000000,2.7.5,76.0,spark-nlp,,,,['spark'],0.0,,https://pypi.org/project/spark-nlp,2021-02-19 17:47:34.000000,0.0,288531.0,288531.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n305,facenet-pytorch,timesler/facenet-pytorch,,image,https://github.com/timesler/facenet-pytorch,https://github.com/timesler/facenet-pytorch,MIT,2019-05-25 01:29:24.000000,2021-03-10 01:00:20.000000,2021-03-10 00:59:39.000000,403,33.0,85.0,1890,230.0,Pretrained Pytorch face detection (MTCNN) and recognition (InceptionResnet) models.,11.0,25,True,2021-03-10 01:00:20.000000,2.5.2,31.0,facenet-pytorch,,,,['pytorch'],306.0,300.0,https://pypi.org/project/facenet-pytorch,2021-03-10 01:00:20.000000,6.0,2957.0,7180.0,,,,,,,,2.0,67581.0,,,,,,,,,,,,,,,,,,,,,\n306,StellarGraph,stellargraph/stellargraph,,graph,https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51.000000,2021-03-01 14:51:47.000000,2021-02-18 01:03:15.000000,260,224.0,705.0,1789,2515.0,StellarGraph - Machine Learning on Graphs.,32.0,25,True,2020-06-30 05:15:21.000000,1.2.1,25.0,stellargraph,,,,['tensorflow'],54.0,50.0,https://pypi.org/project/stellargraph,2020-06-30 05:10:43.000000,4.0,2499.0,2499.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n307,causalml,uber/causalml,,others,https://github.com/uber/causalml,https://github.com/uber/causalml,Apache-2.0,2019-07-09 02:08:58.000000,2021-03-09 04:46:59.000000,2021-02-19 20:30:06.000000,267,30.0,135.0,1777,305.0,Uplift modeling and causal inference with machine learning algorithms.,23.0,25,True,2021-02-19 20:58:43.000000,0.10.0,13.0,causalml,,,,,15.0,15.0,https://pypi.org/project/causalml,2021-02-19 20:32:15.000000,0.0,9534.0,9534.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n308,pytorch-optimizer,jettify/pytorch-optimizer,,pytorch-utils,https://github.com/jettify/pytorch-optimizer,https://github.com/jettify/pytorch-optimizer,Apache-2.0,2020-01-03 03:16:39.000000,2021-03-09 10:51:07.000000,2021-03-09 10:51:06.000000,165,9.0,25.0,1739,361.0,torch-optimizer -- collection of optimizers for Pytorch.,19.0,25,True,2021-01-01 16:51:15.000000,0.1.0,19.0,torch_optimizer,,,,['pytorch'],134.0,134.0,https://pypi.org/project/torch_optimizer,2021-01-01 16:51:15.000000,0.0,8235.0,8235.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n309,pgmpy,pgmpy/pgmpy,,probabilistics,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000000,2021-03-01 07:56:54.000000,2021-03-01 07:56:42.000000,565,228.0,498.0,1731,6.0,Python Library for learning (Structure and Parameter) and inference (Statistical and Causal) in Bayesian Networks.,91.0,25,True,2020-12-30 13:56:53.000000,0.1.13,12.0,pgmpy,,,,,205.0,193.0,https://pypi.org/project/pgmpy,2020-12-30 13:01:04.000000,12.0,15603.0,15609.0,,,,,,,,3.0,57.0,,,,,,,,,,,,,,,,,,,,,\n310,HyperTools,ContextLab/hypertools,,data-viz,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25.000000,2021-01-06 14:11:39.000000,2021-01-06 14:11:38.000000,152,66.0,122.0,1623,1591.0,A Python toolbox for gaining geometric insights into high-dimensional data.,21.0,25,True,2020-10-02 21:41:53.000000,0.6.3,19.0,hypertools,,,,,112.0,103.0,https://pypi.org/project/hypertools,2020-10-02 21:41:53.000000,9.0,185.0,185.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n311,Pythran,serge-sans-paille/pythran,,others,https://github.com/serge-sans-paille/pythran,https://github.com/serge-sans-paille/pythran,BSD-3-Clause,2012-05-29 08:02:14.000000,2021-03-09 06:29:11.000000,2021-03-09 06:29:11.000000,137,102.0,551.0,1515,3328.0,Ahead of Time compiler for numeric kernels.,48.0,25,True,2020-12-09 20:06:55.000000,0.9.8,45.0,pythran,conda-forge/pythran,,,,74.0,48.0,https://pypi.org/project/pythran,2020-12-11 23:22:49.000000,26.0,3037.0,6980.0,https://anaconda.org/conda-forge/pythran,2021-01-27 16:08:46.611000,134087.0,,,,,2.0,,,,,,,,,,,,,,,,,,,pythran,python-pythran,,\n312,tslearn,tslearn-team/tslearn,,time-series-data,https://github.com/tslearn-team/tslearn,https://github.com/tslearn-team/tslearn,BSD-2-Clause,2017-05-04 13:08:13.000000,2021-01-26 12:41:22.000000,2021-01-25 15:18:03.000000,225,64.0,167.0,1499,,A machine learning toolkit dedicated to time-series data.,29.0,25,True,2021-01-25 15:19:11.000000,0.5.0.5,92.0,tslearn,conda-forge/tslearn,,,['sklearn'],227.0,205.0,https://pypi.org/project/tslearn,2021-01-25 15:28:45.000000,22.0,55092.0,60422.0,https://anaconda.org/conda-forge/tslearn,2021-01-25 17:55:55.394000,191915.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n313,haystack,deepset-ai/haystack,,nlp,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000000,2021-03-11 15:09:51.000000,2021-03-11 13:23:05.000000,277,70.0,428.0,1485,564.0,End-to-end Python framework for building natural language search interfaces to data. Leverages Transformers and the..,38.0,25,True,2021-01-21 17:42:17.000000,0.7.0,34.0,haystack,,,,,203.0,37.0,https://pypi.org/project/haystack,2017-07-03 04:44:52.000000,166.0,496.0,496.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n314,Elephas,maxpumperla/elephas,,distributed-ml,https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19.000000,2021-03-09 00:59:28.000000,2021-03-09 00:59:25.000000,288,22.0,118.0,1452,459.0,Distributed Deep learning with Keras & Spark.,27.0,25,True,2021-03-09 00:59:04.000000,1.4.3,19.0,elephas,,,,\"['keras', 'spark']\",40.0,37.0,https://pypi.org/project/elephas,2021-03-09 00:59:04.000000,3.0,16071.0,16071.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n315,Ax,facebook/Ax,,hyperopt,https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000000,2021-03-11 14:44:38.000000,2021-03-11 14:44:33.000000,143,42.0,199.0,1432,954.0,Adaptive Experimentation Platform.,93.0,25,True,2021-02-24 16:59:13.000000,0.1.20,21.0,ax-platform,,,,['pytorch'],146.0,142.0,https://pypi.org/project/ax-platform,2021-02-24 16:59:13.000000,4.0,19864.0,19864.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n316,chainercv,chainer/chainercv,,image,https://github.com/chainer/chainercv,https://github.com/chainer/chainercv,MIT,2017-02-13 04:15:10.000000,2020-02-03 01:27:17.000000,2020-01-07 11:48:31.000000,318,54.0,168.0,1432,4930.0,ChainerCV: a Library for Deep Learning in Computer Vision.,39.0,25,False,2019-06-12 11:55:02.000000,0.13.1,24.0,chainercv,,,,,287.0,227.0,https://pypi.org/project/chainercv,2019-06-12 11:55:40.000000,60.0,2593.0,2593.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n317,dtreeviz,parrt/dtreeviz,,interpretability,https://github.com/parrt/dtreeviz,https://github.com/parrt/dtreeviz,MIT,2018-08-13 21:45:15.000000,2021-03-11 09:46:10.000000,2021-02-24 21:49:25.000000,190,15.0,73.0,1425,329.0,A python library for decision tree visualization and model interpretation.,16.0,25,True,2021-01-27 00:33:05.000000,1.1.4,21.0,dtreeviz,,,,,117.0,113.0,https://pypi.org/project/dtreeviz,2021-01-27 00:31:39.000000,4.0,12198.0,12198.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n318,TFX,tensorflow/tfx,,data-pipelines,https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000000,2021-03-11 06:03:32.000000,2021-03-11 06:03:25.000000,397,231.0,333.0,1354,3208.0,TFX is an end-to-end platform for deploying production ML pipelines.,106.0,25,True,2021-03-09 17:08:26.000000,0.28.0,43.0,tfx,,,,['tensorflow'],4.0,,https://pypi.org/project/tfx,2021-03-09 19:48:12.000000,4.0,49387.0,49387.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n319,Fairness 360,Trusted-AI/AIF360,,interpretability,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15.000000,2021-03-10 20:05:40.000000,2021-03-10 20:05:40.000000,413,37.0,49.0,1248,318.0,\"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..\",43.0,25,True,2021-03-04 18:11:34.000000,0.4.0,9.0,aif360,,,,,74.0,70.0,https://pypi.org/project/aif360,2021-03-04 18:11:34.000000,4.0,3433.0,3433.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n320,ViZDoom,mwydmuch/ViZDoom,,reinforcement-learning,https://github.com/mwydmuch/ViZDoom,https://github.com/mwydmuch/ViZDoom,MIT,2015-06-26 18:38:23.000000,2021-02-09 10:35:01.000000,2021-02-09 10:35:01.000000,298,87.0,329.0,1175,1464.0,Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information.,44.0,25,True,2020-10-29 15:56:20.000000,1.1.8,19.0,vizdoom,,,,,135.0,111.0,https://pypi.org/project/vizdoom,2020-10-29 15:56:20.000000,24.0,616.0,793.0,,,,,,,,2.0,10648.0,,,,,,,,,,,,,,,,,,,,,\n321,PyCUDA,inducer/pycuda,,gpu-utilities,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000000,2021-03-11 06:09:44.000000,2021-03-11 06:07:40.000000,220,41.0,129.0,1108,,\"CUDA integration for Python, plus shiny features.\",70.0,25,True,2019-08-12 04:15:37.000000,2019.1.2,46.0,pycuda,,,,,1055.0,763.0,https://pypi.org/project/pycuda,2020-10-07 21:59:52.000000,292.0,10708.0,10708.0,,,,,,,,2.0,,-2.0,,,,,,,,,,,,,,,,,,,,\n322,petastorm,uber/petastorm,,distributed-ml,https://github.com/uber/petastorm,https://github.com/uber/petastorm,Apache-2.0,2018-06-15 23:15:29.000000,2021-02-03 01:11:09.000000,2021-02-03 01:11:08.000000,187,124.0,115.0,1101,616.0,Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets..,38.0,25,True,2020-12-15 18:37:49.000000,0.9.8,64.0,petastorm,,,,,27.0,27.0,https://pypi.org/project/petastorm,2020-12-15 18:37:49.000000,0.0,42968.0,42977.0,,,,,,,,2.0,288.0,,,,,,,,,,,,,,,,,,,,,\n323,TabPy,tableau/TabPy,,others,https://github.com/tableau/TabPy,https://github.com/tableau/TabPy,MIT,2016-09-27 21:26:03.000000,2021-02-04 23:28:56.000000,2021-02-04 23:28:56.000000,383,10.0,261.0,1037,828.0,Execute Python code on the fly and display results in Tableau visualizations:.,40.0,25,True,2020-11-11 19:06:41.000000,2.3.1,24.0,tabpy,,,,,50.0,50.0,https://pypi.org/project/tabpy,2020-11-11 19:06:41.000000,0.0,11181.0,11181.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n324,TF Model Optimization,tensorflow/model-optimization,,tensorflow-utils,https://github.com/tensorflow/model-optimization,https://github.com/tensorflow/model-optimization,Apache-2.0,2018-10-31 20:34:28.000000,2021-03-10 03:00:48.000000,2021-03-10 03:00:40.000000,221,77.0,91.0,985,484.0,\"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.\",43.0,25,True,2020-09-14 04:46:03.000000,0.5.0,20.0,tensorflow-model-optimization,,,,['tensorflow'],644.0,638.0,https://pypi.org/project/tensorflow-model-optimization,2020-09-14 04:36:08.000000,6.0,56260.0,56260.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n325,ArcGIS API,Esri/arcgis-python-api,,geospatial-data,https://github.com/Esri/arcgis-python-api,https://github.com/Esri/arcgis-python-api,Apache-2.0,2016-03-16 01:09:14.000000,2021-03-10 15:59:09.000000,2021-01-26 04:34:34.000000,716,117.0,206.0,981,3011.0,Documentation and samples for ArcGIS API for Python.,61.0,25,True,2021-01-27 23:12:21.000000,1.8.4,26.0,arcgis,,esridocker/arcgis-api-python-notebook,,,20.0,,https://pypi.org/project/arcgis,2021-01-27 23:04:37.000000,20.0,13361.0,13429.0,,,,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,2020-03-06 00:53:45.164342,32.0,4129.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n326,arviz,arviz-devs/arviz,,interpretability,https://github.com/arviz-devs/arviz,https://github.com/arviz-devs/arviz,Apache-2.0,2015-07-29 11:51:10.000000,2021-03-11 09:24:53.000000,2021-03-10 08:12:20.000000,191,111.0,448.0,958,,Exploratory analysis of Bayesian models with Python.,75.0,25,True,2021-02-21 19:39:56.000000,0.11.2,23.0,arviz,conda-forge/arviz,,,,786.0,750.0,https://pypi.org/project/arviz,2021-02-21 19:39:56.000000,36.0,100665.0,110305.0,https://anaconda.org/conda-forge/arviz,2021-02-21 21:30:03.812000,212033.0,,,,,2.0,98.0,,,,,,,,,,,,,,,,,,,,,\n327,bcolz,Blosc/bcolz,,data-containers,https://github.com/Blosc/bcolz,https://github.com/Blosc/bcolz,BSD-3-Clause,2010-08-18 15:27:02.000000,2020-09-10 12:12:51.000000,2020-09-10 12:12:45.000000,115,126.0,122.0,913,1280.0,A columnar data container that can be compressed.,33.0,25,True,2018-04-13 07:44:26.000000,1.2.1,23.0,bcolz,conda-forge/bcolz,,,,2488.0,1520.0,https://pypi.org/project/bcolz,2018-04-13 07:44:26.000000,968.0,12859.0,17428.0,https://anaconda.org/conda-forge/bcolz,2019-11-05 21:09:48.045000,223911.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n328,PySAL,pysal/pysal,,geospatial-data,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42.000000,2021-02-08 21:30:44.240000,2021-02-01 00:35:48.000000,241,58.0,583.0,828,4119.0,PySAL: Python Spatial Analysis Library Meta-Package.,71.0,25,True,2021-02-02 02:59:42.000000,2.4.0,25.0,pysal,conda-forge/pysal,,,,36.0,,https://pypi.org/project/pysal,2021-02-02 02:59:42.000000,36.0,7685.0,14867.0,https://anaconda.org/conda-forge/pysal,2021-02-08 21:30:44.240000,402208.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n329,kmodes,nicodv/kmodes,,others,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40.000000,2021-03-07 06:05:41.000000,2021-03-07 06:05:39.000000,340,18.0,111.0,822,462.0,\"Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data.\",17.0,25,True,2021-02-13 03:34:23.000000,0.11.0,13.0,kmodes,,,,,493.0,467.0,https://pypi.org/project/kmodes,2021-02-13 03:26:34.000000,26.0,46698.0,46698.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n330,empyrical,quantopian/empyrical,,financial-data,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52.000000,2020-10-14 13:28:13.625000,2020-10-14 13:22:39.000000,233,27.0,26.0,738,167.0,Common financial risk and performance metrics. Used by zipline and pyfolio.,22.0,25,True,2020-10-13 21:29:19.000000,0.5.5,21.0,empyrical,conda-forge/empyrical,,,,764.0,542.0,https://pypi.org/project/empyrical,2020-10-13 21:29:19.000000,222.0,21405.0,21674.0,https://anaconda.org/conda-forge/empyrical,2020-10-14 13:28:13.625000,9954.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n331,Satpy,pytroll/satpy,,geospatial-data,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000000,2021-03-11 10:11:56.000000,2021-03-10 15:50:16.000000,193,305.0,308.0,678,8432.0,Python package for earth-observing satellite data processing.,105.0,25,False,2021-01-07 03:03:07.000000,0.25.1,63.0,satpy,conda-forge/satpy,,,,46.0,40.0,https://pypi.org/project/satpy,2021-01-07 03:03:07.000000,6.0,325.0,2055.0,https://anaconda.org/conda-forge/satpy,2021-01-07 15:09:16.887000,55388.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n332,mahotas,luispedro/mahotas,,image,https://github.com/luispedro/mahotas,https://github.com/luispedro/mahotas,MIT,2010-01-31 00:13:06.000000,2021-01-22 05:47:20.379000,2021-01-13 11:55:02.000000,132,16.0,57.0,671,1276.0,Computer Vision in Python.,30.0,25,True,2020-08-16 17:22:48.000000,1.4.11,57.0,mahotas,conda-forge/mahotas,,,,774.0,584.0,https://pypi.org/project/mahotas,2020-08-16 17:22:48.000000,190.0,18627.0,22987.0,https://anaconda.org/conda-forge/mahotas,2021-01-22 05:47:20.379000,261606.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n333,pyahocorasick,WojciechMula/pyahocorasick,,nlp,https://github.com/WojciechMula/pyahocorasick,https://github.com/WojciechMula/pyahocorasick,BSD-3-Clause,2013-05-30 19:55:46.000000,2021-01-26 17:43:38.000000,2021-01-26 17:43:28.000000,88,32.0,66.0,588,410.0,Python module (C extension and plain python) implementing Aho-Corasick algorithm.,20.0,25,True,2021-01-26 17:38:47.000000,1.4.1,23.0,pyahocorasick,conda-forge/pyahocorasick,,,,620.0,516.0,https://pypi.org/project/pyahocorasick,2021-01-26 17:38:47.000000,104.0,103958.0,106860.0,https://anaconda.org/conda-forge/pyahocorasick,2020-10-13 12:20:05.350000,113211.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n334,Intake,intake/intake,,data-loading,https://github.com/intake/intake,https://github.com/intake/intake,BSD-2-Clause,2017-08-14 20:44:22.000000,2021-03-02 18:13:33.000000,2021-03-02 18:13:33.000000,95,76.0,193.0,534,1658.0,\"Intake is a lightweight package for finding, investigating, loading and disseminating data.\",56.0,25,True,2021-02-17 16:43:52.000000,0.6.1,20.0,intake,conda-forge/intake,,,,312.0,238.0,https://pypi.org/project/intake,2021-02-17 16:43:52.000000,74.0,3107.0,5424.0,https://anaconda.org/conda-forge/intake,2021-02-17 18:41:59.119000,64877.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n335,mpi4py,mpi4py/mpi4py,,distributed-ml,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-3-Clause,2013-09-05 14:44:25.000000,2021-03-11 10:05:20.000000,2021-03-08 12:55:05.000000,63,4.0,10.0,389,2228.0,Python bindings for MPI.,14.0,25,True,2020-07-27 06:40:19.000000,3.0.3,13.0,mpi4py,conda-forge/mpi4py,,,,752.0,,https://pypi.org/project/mpi4py,2019-11-04 13:05:10.000000,752.0,85216.0,95689.0,https://anaconda.org/conda-forge/mpi4py,2021-01-19 17:48:43.682000,559663.0,,,,,2.0,873.0,,,,,,,,,,,,,,,,,,,,,\n336,PyNNDescent,lmcinnes/pynndescent,,nn-search,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000000,2021-02-22 15:53:08.000000,2021-02-22 15:53:08.000000,48,30.0,33.0,376,487.0,A Python nearest neighbor descent for approximate nearest neighbors.,13.0,25,True,2021-02-08 20:03:04.000000,0.5.2,21.0,pynndescent,conda-forge/pynndescent,,,,273.0,267.0,https://pypi.org/project/pynndescent,2021-02-08 20:03:04.000000,6.0,84067.0,87213.0,https://anaconda.org/conda-forge/pynndescent,2021-02-09 04:30:06.804000,66080.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n337,python-soundfile,bastibe/python-soundfile,,audio,https://github.com/bastibe/python-soundfile,https://github.com/bastibe/python-soundfile,BSD-3-Clause,2013-08-27 13:36:52.000000,2021-01-13 07:52:51.000000,2020-12-01 18:42:47.000000,42,57.0,88.0,372,493.0,\"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.\",19.0,25,True,2019-12-04 10:03:39.000000,0.10.3post1,7.0,soundfile,,,,,6636.0,5896.0,https://pypi.org/project/soundfile,2019-11-27 12:16:19.000000,740.0,262403.0,262429.0,,,,,,,,2.0,2224.0,,,,,,,,,,,,,,,,,,,,,\n338,hvPlot,holoviz/hvplot,,data-viz,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000000,2021-03-10 11:53:33.000000,2021-03-03 21:11:39.000000,50,110.0,225.0,365,370.0,\"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.\",22.0,25,True,2021-03-04 17:35:32.000000,0.7.1,13.0,hvplot,conda-forge/hvplot,,,,524.0,494.0,https://pypi.org/project/hvplot,2021-03-03 21:16:38.000000,30.0,11245.0,13556.0,https://anaconda.org/conda-forge/hvplot,2021-03-04 01:00:43.938000,71668.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n339,PaddleOCR,PaddlePaddle/PaddleOCR,,ocr,https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000000,2021-03-11 08:44:56.000000,2021-03-10 04:26:47.000000,2177,517.0,965.0,11219,,\"Awesome multilingual OCR toolkits based on PaddlePaddle practical ultra lightweight OCR system, provide data..\",41.0,24,True,2021-02-08 15:36:59.000000,2.0.0,10.0,paddleocr,,,,['paddle'],51.0,51.0,https://pypi.org/project/paddleocr,2020-12-18 04:01:23.000000,0.0,848.0,848.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n340,pysc2,deepmind/pysc2,,others,https://github.com/deepmind/pysc2,https://github.com/deepmind/pysc2,Apache-2.0,2017-07-25 18:16:57.000000,2020-07-29 16:22:31.000000,2019-09-27 15:23:22.000000,1103,57.0,203.0,7202,513.0,StarCraft II Learning Environment.,34.0,24,False,2019-09-27 15:48:01.000000,3.0.0,7.0,pysc2,,,,,268.0,228.0,https://pypi.org/project/pysc2,2019-09-27 15:48:01.000000,40.0,474.0,1078.0,,,,,,,,2.0,26005.0,,,,,,,,,,,,,,,,,,,,,\n341,EfficientNet-PyTorch,lukemelas/EfficientNet-PyTorch,,pytorch-utils,https://github.com/lukemelas/EfficientNet-PyTorch,https://github.com/lukemelas/EfficientNet-PyTorch,Apache-2.0,2019-05-30 05:24:11.000000,2021-02-09 15:32:57.000000,2020-10-09 16:24:04.000000,1102,115.0,117.0,5539,141.0,A PyTorch implementation of EfficientNet.,21.0,24,True,2020-08-26 03:00:05.000000,0.7.0,12.0,efficientnet-pytorch,,,,['pytorch'],14.0,,https://pypi.org/project/efficientnet-pytorch,2020-08-26 03:00:05.000000,14.0,25100.0,55775.0,,,,,,,,2.0,368104.0,,,,,,,,,,,,,,,,,,,,,\n342,keras-rl,keras-rl/keras-rl,,reinforcement-learning,https://github.com/keras-rl/keras-rl,https://github.com/keras-rl/keras-rl,MIT,2016-07-02 15:53:12.000000,2020-11-20 07:32:13.000000,2019-11-11 22:14:54.000000,1284,39.0,211.0,4971,308.0,Deep Reinforcement Learning for Keras.,40.0,24,False,2018-06-01 07:52:24.000000,0.4.2,8.0,keras-rl,,,,['tensorflow'],567.0,465.0,https://pypi.org/project/keras-rl,2018-06-01 07:52:24.000000,102.0,888.0,888.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n343,Edward,blei-lab/edward,,probabilistics,https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05.000000,2019-10-22 20:30:48.000000,2018-07-25 01:28:08.000000,767,212.0,327.0,4606,1796.0,\"A probabilistic programming language in TensorFlow. Deep generative models, variational inference.\",87.0,24,False,2018-01-22 06:03:37.000000,1.3.5,28.0,edward,,,,['tensorflow'],288.0,210.0,https://pypi.org/project/edward,2018-01-22 06:03:05.000000,78.0,438.0,438.0,,,,,,,,3.0,13.0,,,,,,,,,,,,,,,,,,,,,\n344,DeepSpeed,microsoft/DeepSpeed,,distributed-ml,https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,MIT,2020-01-23 18:35:18.000000,2021-03-11 07:53:10.000000,2021-03-11 07:51:33.000000,412,164.0,189.0,4466,456.0,\"DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.\",47.0,24,True,2021-02-02 18:36:29.000000,0.3.11,19.0,deepspeed,,deepspeed/deepspeed,,['pytorch'],11.0,11.0,https://pypi.org/project/deepspeed,2021-02-02 18:36:29.000000,,4022.0,4555.0,,,,https://hub.docker.com/r/deepspeed/deepspeed,2021-02-20 21:35:37.092937,2.0,7470.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n345,Augmentor,mdbloice/Augmentor,,image,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55.000000,2020-11-10 05:20:01.000000,2020-03-09 11:32:02.000000,805,118.0,67.0,4339,511.0,Image augmentation library in Python for machine learning.,22.0,24,True,2020-01-17 11:59:53.000000,0.2.8,20.0,Augmentor,,,,,326.0,284.0,https://pypi.org/project/Augmentor,2020-01-17 11:59:53.000000,42.0,4887.0,4887.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n346,Lucid,tensorflow/lucid,,interpretability,https://github.com/tensorflow/lucid,https://github.com/tensorflow/lucid,Apache-2.0,2018-01-25 17:41:44.000000,2021-03-04 19:35:05.000000,2021-03-04 17:40:58.000000,559,67.0,94.0,4107,637.0,A collection of infrastructure and tools for research in neural network interpretability.,35.0,24,True,2019-01-17 19:46:43.000000,0.3.9-alpha,16.0,lucid,,,,['tensorflow'],509.0,503.0,https://pypi.org/project/lucid,2018-12-20 00:26:11.000000,6.0,660.0,660.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n347,Great Expectations,great-expectations/great_expectations,,data-pipelines,https://github.com/great-expectations/great_expectations,https://github.com/great-expectations/great_expectations,Apache-2.0,2017-09-11 00:18:46.000000,2021-03-10 23:56:49.000000,2021-03-10 23:50:48.000000,485,162.0,622.0,3901,,Always know what to expect from your data.,168.0,24,True,2021-03-05 00:23:23.000000,0.13.12,103.0,great_expectations,,,,,6.0,,https://pypi.org/project/great_expectations,2021-03-05 00:15:26.000000,6.0,249251.0,249251.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n348,VisualDL,PaddlePaddle/VisualDL,,ml-experiments,https://github.com/PaddlePaddle/VisualDL,https://github.com/PaddlePaddle/VisualDL,Apache-2.0,2017-12-20 12:34:31.000000,2021-02-25 09:37:36.000000,2021-02-20 13:49:02.000000,532,27.0,317.0,3869,,Deep Learning Visualization Toolkit.,28.0,24,True,2021-02-01 09:03:52.000000,2.1.1,31.0,visualdl,,,,['paddle'],206.0,196.0,https://pypi.org/project/visualdl,2021-01-29 09:44:14.000000,10.0,3098.0,3109.0,,,,,,,,2.0,102.0,,,,,,,,,,,,,,,,,,,,,\n349,Lasagne,Lasagne/Lasagne,,ml-frameworks,https://github.com/Lasagne/Lasagne,https://github.com/Lasagne/Lasagne,MIT,2014-09-11 15:31:41.000000,2019-11-20 20:28:31.000000,2019-11-20 20:28:30.000000,983,139.0,402.0,3774,1161.0,Lightweight library to build and train neural networks in Theano.,72.0,24,False,2015-08-13 21:00:09.000000,0.1,1.0,lasagne,,,,,1295.0,789.0,https://pypi.org/project/lasagne,2015-08-13 21:10:53.000000,506.0,1208.0,1208.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n350,TensorFlowOnSpark,yahoo/TensorFlowOnSpark,,distributed-ml,https://github.com/yahoo/TensorFlowOnSpark,https://github.com/yahoo/TensorFlowOnSpark,Apache-2.0,2017-01-20 18:15:57.000000,2021-01-27 02:31:23.000000,2021-01-27 02:31:19.000000,937,10.0,336.0,3636,592.0,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,33.0,24,True,2020-12-18 21:57:51.000000,2.2.2,29.0,tensorflowonspark,,,,\"['tensorflow', 'spark']\",5.0,,https://pypi.org/project/tensorflowonspark,2020-12-18 18:32:09.000000,5.0,49428.0,49428.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n351,espnet,espnet/espnet,,audio,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000000,2021-03-11 14:34:53.000000,2021-03-11 14:19:49.000000,1088,130.0,1096.0,3521,11057.0,End-to-End Speech Processing Toolkit.,143.0,24,True,2021-03-01 10:13:23.000000,.0.9.8,33.0,espnet,,,,,6.0,6.0,https://pypi.org/project/espnet,2021-01-15 08:52:23.000000,0.0,2673.0,2674.0,,,,,,,,3.0,60.0,,,,,,,,,,,,,,,,,,,,,\n352,torchdiffeq,rtqichen/torchdiffeq,,pytorch-utils,https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25.000000,2021-02-06 20:33:16.000000,2021-02-06 20:32:52.000000,590,20.0,109.0,3404,212.0,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,19.0,24,True,2021-02-06 20:33:16.000000,0.2.1,5.0,torchdiffeq,,,,['pytorch'],73.0,73.0,https://pypi.org/project/torchdiffeq,2021-02-06 20:33:16.000000,0.0,1172.0,1172.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n353,T5,google-research/text-to-text-transfer-transformer,,nlp,https://github.com/google-research/text-to-text-transfer-transformer,https://github.com/google-research/text-to-text-transfer-transformer,Apache-2.0,2019-10-17 21:45:14.000000,2021-03-10 23:41:41.000000,2021-03-09 19:11:04.000000,446,44.0,307.0,3245,448.0,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,33.0,24,True,2021-03-03 15:19:14.000000,0.9.0,26.0,t5,,,,['tensorflow'],24.0,24.0,https://pypi.org/project/t5,2021-03-03 15:19:14.000000,0.0,5055.0,5055.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n354,Stable Baselines,hill-a/stable-baselines,,reinforcement-learning,https://github.com/hill-a/stable-baselines,https://github.com/hill-a/stable-baselines,MIT,2018-07-02 14:28:59.000000,2021-02-22 15:02:15.000000,2020-12-23 16:27:08.000000,594,133.0,735.0,2981,835.0,\"A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.\",110.0,24,True,2020-08-05 19:45:11.000000,2.10.1,30.0,stable-baselines,,,,,50.0,,https://pypi.org/project/stable-baselines,2020-08-05 19:42:14.000000,50.0,5520.0,5520.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n355,PML,KevinMusgrave/pytorch-metric-learning,,pytorch-utils,https://github.com/KevinMusgrave/pytorch-metric-learning,https://github.com/KevinMusgrave/pytorch-metric-learning,MIT,2019-10-23 17:20:35.000000,2021-03-11 02:49:34.000000,2021-03-11 02:49:28.000000,385,36.0,186.0,2823,630.0,\"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.\",14.0,24,True,2021-03-04 00:46:21.000000,0.9.97,148.0,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,,['pytorch'],58.0,58.0,https://pypi.org/project/pytorch-metric-learning,2019-12-27 11:28:11.000000,0.0,3339.0,3436.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2021-03-04 02:42:20.027000,1368.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n356,DoWhy,Microsoft/dowhy,,interpretability,https://github.com/microsoft/dowhy,https://github.com/microsoft/dowhy,MIT,2018-05-31 13:07:04.000000,2021-03-08 17:10:56.000000,2021-03-03 03:37:39.000000,389,16.0,88.0,2728,435.0,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,39.0,24,True,2021-03-03 03:44:46.000000,0.6,6.0,dowhy,conda-forge/dowhy,,,,28.0,28.0,https://pypi.org/project/dowhy,2021-03-03 03:45:16.000000,0.0,8109.0,8230.0,https://anaconda.org/conda-forge/dowhy,2020-12-13 07:46:12.761000,1202.0,,,,,2.0,23.0,,,,,,,,,,,,,,,,,,,,,\n357,Sumy,miso-belica/sumy,,nlp,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48.000000,2020-11-21 17:08:35.000000,2020-11-21 17:08:33.000000,444,10.0,78.0,2522,397.0,Module for automatic summarization of text documents and HTML pages.,20.0,24,True,2019-05-19 14:39:21.000000,0.8.1,13.0,sumy,,,,,876.0,684.0,https://pypi.org/project/sumy,2019-05-19 14:38:29.000000,192.0,5623.0,5623.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n358,Neural Network Libraries,sony/nnabla,,ml-frameworks,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10.000000,2021-03-11 01:09:38.000000,2021-03-11 01:08:59.000000,301,36.0,24.0,2422,2485.0,Neural Network Libraries.,58.0,24,True,2021-01-30 03:35:55.000000,1.16.0,52.0,nnabla,,,,,34.0,,https://pypi.org/project/nnabla,2021-01-29 14:09:09.000000,34.0,1032.0,1043.0,,,,,,,,3.0,523.0,,,,,,,,,,,,,,,,,,,,,\n359,ClearML,allegroai/clearml,,ml-experiments,https://github.com/allegroai/clearml,https://github.com/allegroai/clearml,Apache-2.0,2019-06-10 08:18:32.000000,2021-03-11 07:42:53.000000,2021-03-11 07:42:35.000000,332,70.0,208.0,2209,1085.0,\"ClearML - Auto-Magical Suite of tools to streamline your ML workflow. Experiment Manager, ML-Ops and Data-Management.\",26.0,24,True,2021-01-13 12:56:36.000000,0.17.4,39.0,clearml,,allegroai/trains,,,19.0,19.0,https://pypi.org/project/clearml,2021-02-23 08:45:41.000000,0.0,5671.0,7113.0,,,,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,29996.0,2.0,296.0,,,,,,,,,,,,,,,,,,,,,\n360,Arctic,man-group/arctic,,data-containers,https://github.com/man-group/arctic,https://github.com/man-group/arctic,LGPL-2.1,2015-05-29 13:37:30.000000,2021-02-05 16:08:56.000000,2021-01-26 00:14:21.000000,439,88.0,422.0,2198,1067.0,Arctic is a high performance datastore for numeric data.,71.0,24,True,2020-12-01 23:17:26.000000,1.79.4,83.0,arctic,conda-forge/arctic,,,,148.0,106.0,https://pypi.org/project/arctic,2020-12-01 23:16:12.000000,42.0,1727.0,2310.0,https://anaconda.org/conda-forge/arctic,2019-12-16 08:57:24.231000,12822.0,,,,,3.0,100.0,,,,,,,,,,,,,,,,,,,,,\n361,scikit-plot,reiinakano/scikit-plot,,interpretability,https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59.000000,2021-02-26 14:37:45.000000,2018-08-19 12:37:47.000000,246,21.0,39.0,2042,130.0,An intuitive library to add plotting functionality to scikit-learn objects.,13.0,24,False,2018-08-19 12:21:01.000000,0.3.7,27.0,scikit-plot,conda-forge/scikit-plot,,,['sklearn'],847.0,793.0,https://pypi.org/project/scikit-plot,2018-08-19 12:18:46.000000,54.0,43417.0,45306.0,https://anaconda.org/conda-forge/scikit-plot,2019-06-05 14:23:59.043000,83148.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n362,fastNLP,fastnlp/fastNLP,,nlp,https://github.com/fastnlp/fastNLP,https://github.com/fastnlp/fastNLP,Apache-2.0,2018-03-07 13:30:20.000000,2021-02-23 11:04:05.000000,2021-02-23 11:04:05.000000,352,16.0,127.0,2036,1707.0,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,49.0,24,True,2020-11-06 15:31:29.000000,0.6.0,10.0,fastnlp,,,,,27.0,26.0,https://pypi.org/project/fastnlp,2019-02-04 02:35:37.000000,1.0,436.0,437.0,,,,,,,,3.0,54.0,,,,,,,,,,,,,,,,,,,,,\n363,pytorch-nlp,PetrochukM/PyTorch-NLP,,nlp,https://github.com/PetrochukM/PyTorch-NLP,https://github.com/PetrochukM/PyTorch-NLP,BSD-3-Clause,2018-02-25 05:00:36.000000,2021-01-26 22:24:03.000000,2021-01-26 22:23:57.000000,223,14.0,49.0,1877,445.0,Basic Utilities for PyTorch Natural Language Processing (NLP).,17.0,24,True,2019-11-04 05:16:00.000000,0.5.0,19.0,pytorch-nlp,,,,['pytorch'],204.0,186.0,https://pypi.org/project/pytorch-nlp,2019-11-04 04:35:18.000000,18.0,2309.0,2309.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n364,Alphalens,quantopian/alphalens,,financial-data,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15.000000,2020-09-05 16:48:14.000000,2020-04-27 18:40:41.000000,676,39.0,145.0,1804,522.0,Performance analysis of predictive (alpha) stock factors.,25.0,24,True,2020-04-30 15:42:52.000000,0.4.0,10.0,alphalens,conda-forge/alphalens,,,,384.0,356.0,https://pypi.org/project/alphalens,2020-04-27 21:03:10.000000,28.0,1884.0,2176.0,https://anaconda.org/conda-forge/alphalens,2020-05-16 13:52:44.922000,10804.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n365,polyglot,aboSamoor/polyglot,,nlp,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,GPL-3.0,2014-06-30 02:07:45.000000,2020-10-27 10:55:53.000000,2020-09-22 22:35:28.000000,292,132.0,63.0,1781,271.0,Multilingual text (NLP) processing toolkit.,26.0,24,False,2016-07-03 20:05:42.000000,16.7.4,8.0,polyglot,,,,,580.0,450.0,https://pypi.org/project/polyglot,2016-07-03 20:05:42.000000,130.0,30342.0,30342.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n366,TorchServe,pytorch/serve,,model-serialisation,https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000000,2021-03-11 10:51:34.000000,2021-03-03 22:11:43.000000,242,130.0,415.0,1630,1055.0,Model Serving on PyTorch.,61.0,24,True,2020-12-18 01:38:41.000000,0.3.0,6.0,torchserve,pytorch/torchserve,pytorch/torchserve,,['pytorch'],30.0,30.0,https://pypi.org/project/torchserve,2020-12-17 19:04:04.000000,0.0,1872.0,5677.0,https://anaconda.org/pytorch/torchserve,2020-12-17 18:30:12.593000,6986.0,https://hub.docker.com/r/pytorch/torchserve,2020-12-18 18:32:51.570336,3.0,53604.0,2.0,196.0,,,,,,,,,,,,,,,,,,,,,\n367,category_encoders,scikit-learn-contrib/category_encoders,,sklearn-utils,https://github.com/scikit-learn-contrib/category_encoders,https://github.com/scikit-learn-contrib/category_encoders,BSD-3-Clause,2015-11-29 19:32:37.000000,2020-11-10 15:17:22.000000,2020-07-31 10:43:44.000000,295,66.0,135.0,1607,671.0,A library of sklearn compatible categorical variable encoders.,37.0,24,True,2020-04-29 02:09:51.000000,2.2.2,19.0,category_encoders,conda-forge/category_encoders,,,['sklearn'],23.0,,https://pypi.org/project/category_encoders,2018-10-14 14:15:54.000000,23.0,123372.0,125081.0,https://anaconda.org/conda-forge/category_encoders,2020-04-29 22:37:35.948000,95721.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n368,swifter,jmcarpenter2/swifter,,data-containers,https://github.com/jmcarpenter2/swifter,https://github.com/jmcarpenter2/swifter,MIT,2018-04-07 21:37:19.000000,2020-12-19 19:11:45.000000,2020-12-19 19:11:44.000000,73,16.0,76.0,1567,423.0,A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner.,14.0,24,True,2020-10-11 22:42:57.000000,1.0.7,71.0,swifter,conda-forge/swifter,,,['pandas'],331.0,299.0,https://pypi.org/project/swifter,2020-10-11 22:42:57.000000,32.0,43138.0,46742.0,https://anaconda.org/conda-forge/swifter,2020-09-20 15:08:56.885000,82903.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n369,scattertext,JasonKessler/scattertext,,nlp,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12.000000,2021-03-08 07:54:17.000000,2021-03-08 07:43:55.000000,212,18.0,61.0,1525,346.0,Beautiful visualizations of how language differs among document types.,11.0,24,True,2021-03-08 03:19:27.000000,0.1.1,131.0,scattertext,conda-forge/scattertext,,,,171.0,155.0,https://pypi.org/project/scattertext,2021-03-08 07:54:17.000000,16.0,1200.0,2261.0,https://anaconda.org/conda-forge/scattertext,2021-01-18 15:00:35.497000,45624.0,,,,,3.0,,2.0,,,,,,,,,,,,,,,,,,,,\n370,Pandaral·lel,nalepae/pandarallel,,data-containers,https://github.com/nalepae/pandarallel,https://github.com/nalepae/pandarallel,BSD-3-Clause,2019-03-10 11:58:29.000000,2021-02-04 21:35:01.000000,2021-02-04 21:27:26.000000,98,67.0,55.0,1447,114.0,A simple and efficient tool to parallelize Pandas operations on all availableCPUs.,14.0,24,True,2021-02-04 21:35:01.000000,1.5.2,29.0,pandarallel,,,,\"['pandas', 'jupyter']\",159.0,159.0,https://pypi.org/project/pandarallel,2021-02-04 21:35:01.000000,0.0,109178.0,109178.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n371,sklearn-contrib-lightning,scikit-learn-contrib/lightning,,sklearn-utils,https://github.com/scikit-learn-contrib/lightning,https://github.com/scikit-learn-contrib/lightning,BSD-3-Clause,2012-01-11 13:53:52.000000,2021-01-05 05:54:02.000000,2021-01-04 18:02:23.000000,192,47.0,36.0,1437,700.0,\"Large-scale linear classification, regression and ranking in Python.\",16.0,24,True,2020-12-16 17:26:49.000000,0.6.0,8.0,sklearn-contrib-lightning,conda-forge/sklearn-contrib-lightning,,,['sklearn'],87.0,77.0,https://pypi.org/project/sklearn-contrib-lightning,2020-12-16 17:26:49.000000,10.0,225.0,2596.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2020-12-20 22:58:20.890000,132829.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n372,mtcnn,ipazc/mtcnn,,image,https://github.com/ipazc/mtcnn,https://github.com/ipazc/mtcnn,MIT,2018-01-05 04:08:32.000000,2021-02-03 15:49:06.000000,2021-01-13 23:50:58.000000,386,55.0,36.0,1433,55.0,\"MTCNN face detection implementation for TensorFlow, as a PIP package.\",14.0,24,True,2019-11-14 17:37:05.000000,0.1.0,10.0,mtcnn,,,,['tensorflow'],962.0,920.0,https://pypi.org/project/mtcnn,2019-11-14 17:37:05.000000,42.0,7561.0,7561.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n373,IB-insync,erdewit/ib_insync,,financial-data,https://github.com/erdewit/ib_insync,https://github.com/erdewit/ib_insync,BSD-2-Clause,2017-07-12 12:09:24.000000,2021-02-27 11:43:06.000000,2021-02-27 11:42:59.000000,407,2.0,291.0,1319,558.0,Python sync/async framework for Interactive Brokers API.,26.0,24,True,2020-11-03 13:37:57.000000,0.9.64,89.0,ib_insync,conda-forge/ib-insync,,,,12.0,,https://pypi.org/project/ib_insync,2020-11-03 13:37:57.000000,12.0,3224.0,3625.0,https://anaconda.org/conda-forge/ib-insync,2021-02-25 02:28:19.625000,8031.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n374,TNT,pytorch/tnt,,ml-experiments,https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58.000000,2021-01-22 09:14:29.000000,2021-01-05 19:36:17.000000,186,30.0,34.0,1292,156.0,\"Simple tools for logging and visualizing, loading and training.\",35.0,24,True,2019-11-15 12:57:59.000000,0.0.5.1,3.0,torchnet,,,,['pytorch'],586.0,536.0,https://pypi.org/project/torchnet,2018-07-29 23:16:03.000000,50.0,2867.0,2867.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n375,sense2vec,explosion/sense2vec,,nlp,https://github.com/explosion/sense2vec,https://github.com/explosion/sense2vec,MIT,2016-01-23 22:15:49.000000,2021-03-03 09:08:52.000000,2021-03-03 09:08:52.000000,204,15.0,82.0,1174,451.0,Contextually-keyed word vectors.,15.0,24,True,2021-02-07 06:12:02.000000,2.0.0,21.0,sense2vec,conda-forge/sense2vec,,,,65.0,53.0,https://pypi.org/project/sense2vec,2021-02-07 06:12:02.000000,12.0,2080.0,3360.0,https://anaconda.org/conda-forge/sense2vec,2020-03-16 22:19:07.337000,15986.0,,,,,3.0,13749.0,,,,,,,,,,,,,,,,,,,,,\n376,metric-learn,scikit-learn-contrib/metric-learn,,others,https://github.com/scikit-learn-contrib/metric-learn,https://github.com/scikit-learn-contrib/metric-learn,MIT,2013-11-02 08:29:47.000000,2021-03-01 21:22:38.000000,2020-08-04 01:35:39.000000,206,47.0,109.0,1120,263.0,Metric learning algorithms in Python.,19.0,24,True,2020-07-02 12:59:23.000000,0.6.2,10.0,metric-learn,,,,['sklearn'],141.0,123.0,https://pypi.org/project/metric-learn,2020-07-02 12:59:23.000000,18.0,8535.0,8535.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n377,livelossplot,stared/livelossplot,,ml-experiments,https://github.com/stared/livelossplot,https://github.com/stared/livelossplot,MIT,2018-03-10 17:51:43.000000,2021-02-07 23:25:37.000000,2021-02-07 23:24:31.000000,131,4.0,70.0,1049,323.0,\"Live training loss plot in Jupyter Notebook for Keras, PyTorch and others.\",16.0,24,True,2021-02-03 16:25:47.000000,0.5.4,24.0,livelossplot,,,,['jupyter'],469.0,459.0,https://pypi.org/project/livelossplot,2021-02-03 16:25:47.000000,10.0,15168.0,15168.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n378,bt,pmorissette/bt,,financial-data,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28.000000,2021-03-02 14:20:40.000000,2021-03-02 14:20:40.000000,264,55.0,171.0,985,414.0,bt - flexible backtesting for Python.,21.0,24,True,2021-02-01 05:24:40.000000,0.2.8,24.0,bt,,,,,67.0,47.0,https://pypi.org/project/bt,2021-02-01 05:24:40.000000,20.0,2137.0,2137.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n379,Streamz,python-streamz/streamz,,time-series-data,https://github.com/python-streamz/streamz,https://github.com/python-streamz/streamz,BSD-3-Clause,2017-04-04 21:45:49.000000,2021-01-15 14:38:35.032000,2021-01-14 20:46:26.000000,113,91.0,129.0,918,733.0,Real-time stream processing for python.,38.0,24,True,2021-01-14 20:47:38.000000,0.6.2,15.0,streamz,conda-forge/streamz,,,,208.0,192.0,https://pypi.org/project/streamz,2021-01-14 20:47:38.000000,16.0,1854.0,4920.0,https://anaconda.org/conda-forge/streamz,2021-01-15 14:38:35.032000,128810.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n380,spacy-transformers,explosion/spacy-transformers,,nlp,https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000000,2021-03-09 18:39:30.000000,2021-03-03 09:50:51.000000,107,48.0,,916,1320.0,\"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.\",15.0,24,True,2021-02-02 10:57:09.000000,1.0.1,44.0,spacy-transformers,,,,['spacy'],99.0,93.0,https://pypi.org/project/spacy-transformers,2021-02-02 09:54:58.000000,6.0,11460.0,11460.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n381,SciSpacy,allenai/scispacy,,nlp,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52.000000,2021-02-23 17:31:33.000000,2021-02-23 17:31:33.000000,127,21.0,142.0,851,922.0,A full spaCy pipeline and models for scientific/biomedical documents.,18.0,24,True,2021-02-12 22:56:06.000000,0.4.0,10.0,scispacy,,,,,227.0,215.0,https://pypi.org/project/scispacy,2021-02-12 22:56:06.000000,12.0,9273.0,9273.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n382,PennyLane,PennyLaneAI/PennyLane,,others,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000000,2021-03-11 14:56:40.000000,2021-03-10 17:57:36.000000,226,56.0,250.0,798,1823.0,PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum..,43.0,24,True,2021-02-12 15:50:08.000000,0.14.1,20.0,pennylane,,,,,20.0,,https://pypi.org/project/pennylane,2021-02-12 15:49:56.000000,20.0,2639.0,2641.0,,,,,,,,2.0,56.0,,,,,,,,,,,,,,,,,,,,,\n383,ffn,pmorissette/ffn,,financial-data,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09.000000,2021-02-18 10:34:12.000000,2021-02-18 10:34:06.000000,186,19.0,63.0,795,339.0,ffn - a financial function library for Python.,25.0,24,True,2021-02-01 04:38:52.000000,0.3.5,26.0,ffn,,,,,145.0,103.0,https://pypi.org/project/ffn,2021-02-01 04:35:47.000000,42.0,7595.0,7595.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n384,pyopencl,inducer/pyopencl,,others,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,MIT,2011-04-06 02:51:33.000000,2021-03-11 15:11:13.434000,2021-03-11 04:44:32.000000,209,52.0,210.0,787,,\"OpenCL integration for Python, plus shiny features.\",86.0,24,True,2021-02-17 20:15:17.000000,2021.1.2,58.0,pyopencl,conda-forge/pyopencl,,,,717.0,479.0,https://pypi.org/project/pyopencl,2021-03-11 04:45:21.000000,238.0,5798.0,12107.0,https://anaconda.org/conda-forge/pyopencl,2021-03-11 15:11:13.434000,334386.0,,,,,2.0,,-3.0,,,,,,,,,,,,,,,,,,,,\n385,ktrain,amaiya/ktrain,,ml-frameworks,https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39.000000,2021-03-10 22:17:17.000000,2021-03-10 22:14:24.000000,184,10.0,307.0,758,2238.0,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,12.0,24,True,2021-03-10 22:17:17.000000,0.26.1,147.0,ktrain,,,,['tensorflow'],134.0,133.0,https://pypi.org/project/ktrain,2021-01-28 01:03:31.000000,1.0,4933.0,4933.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n386,openTSNE,pavlin-policar/openTSNE,,data-viz,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000000,2021-03-10 12:02:25.000000,2021-03-10 12:01:19.000000,82,4.0,72.0,755,517.0,\"Extensible, parallel implementations of t-SNE.\",10.0,24,True,2021-01-08 12:20:43.000000,0.5.1,19.0,opentsne,conda-forge/opentsne,,,,191.0,187.0,https://pypi.org/project/opentsne,2021-01-08 12:20:43.000000,4.0,8946.0,11974.0,https://anaconda.org/conda-forge/opentsne,2021-01-08 15:19:01.004000,81770.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n387,PySwarms,ljvmiranda921/pyswarms,,others,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45.000000,2021-03-10 23:31:10.000000,2021-03-10 23:31:10.000000,234,16.0,155.0,738,406.0,A research toolkit for particle swarm optimization in Python.,42.0,24,True,2021-01-03 21:34:15.000000,1.3.0,20.0,pyswarms,,,,,95.0,95.0,https://pypi.org/project/pyswarms,2021-01-03 21:34:15.000000,0.0,2857.0,2857.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n388,Singer,singer-io/getting-started,,data-loading,https://github.com/singer-io/getting-started,https://github.com/singer-io/getting-started,AGPL-3.0,2016-10-31 16:53:56.000000,2021-02-25 20:41:17.000000,2020-12-04 20:57:19.000000,100,20.0,16.0,721,173.0,\"Standard for moving data between databases, web APIs, files, queues, and just about anything else you can think of.\",26.0,24,False,2021-02-25 20:41:17.000000,5.11.0,102.0,singer-python,,,,,300.0,,https://pypi.org/project/singer-python,2021-02-25 20:41:17.000000,300.0,36800.0,36800.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n389,Hail,hail-is/hail,,medical-data,https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000000,2021-03-11 14:05:49.000000,2021-03-11 14:05:49.000000,182,323.0,1939.0,705,7617.0,Scalable genomic data analysis.,69.0,24,True,2021-03-02 01:57:13.000000,0.2.63,83.0,hail,,,,['spark'],31.0,31.0,https://pypi.org/project/hail,2021-03-02 01:57:18.000000,0.0,1285.0,1285.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n390,dask-ml,dask/dask-ml,,distributed-ml,https://github.com/dask/dask-ml,https://github.com/dask/dask-ml,BSD-3-Clause,2017-06-15 15:56:06.000000,2021-02-27 15:44:35.000000,2021-02-24 15:52:03.000000,186,186.0,210.0,688,,Scalable Machine Learning with Dask.,62.0,24,True,2021-01-30 16:49:37.000000,1.8.0,27.0,dask-ml,conda-forge/dask-ml,,,,394.0,352.0,https://pypi.org/project/dask-ml,2021-01-30 16:49:37.000000,42.0,18304.0,23128.0,https://anaconda.org/conda-forge/dask-ml,2021-01-30 20:07:36.819000,197791.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n391,pyjanitor,ericmjl/pyjanitor,,others,https://github.com/ericmjl/pyjanitor,https://github.com/ericmjl/pyjanitor,MIT,2018-03-04 22:43:33.000000,2021-03-05 00:13:48.000000,2021-03-05 00:13:45.000000,119,92.0,283.0,643,1162.0,Clean APIs for data cleaning. Python implementation of R package Janitor.,88.0,24,True,2021-02-25 14:08:33.000000,0.20.12,48.0,pyjanitor,conda-forge/pyjanitor,,,,90.0,86.0,https://pypi.org/project/pyjanitor,2021-02-25 14:08:33.000000,4.0,1830.0,4086.0,https://anaconda.org/conda-forge/pyjanitor,2021-02-25 18:58:42.899000,81232.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n392,tensorflow-upstream,ROCmSoftwarePlatform/tensorflow-upstream,,ml-frameworks,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,Apache-2.0,2018-04-09 21:24:50.000000,2021-03-11 13:47:05.000000,2021-03-10 04:12:02.000000,66,55.0,239.0,546,79524.0,TensorFlow ROCm port.,3577.0,24,True,2020-12-22 02:51:55.000000,2.4.0,58.0,tensorflow-rocm,,,,['tensorflow'],,,https://pypi.org/project/tensorflow-rocm,2020-12-22 02:51:55.000000,,735.0,735.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,,,,\n393,SALib,SALib/SALib,,probabilistics,https://github.com/SALib/SALib,https://github.com/SALib/SALib,MIT,2013-05-30 13:38:10.000000,2021-02-21 13:06:27.000000,2021-01-20 02:04:21.000000,142,41.0,188.0,436,909.0,\"Sensitivity Analysis Library in Python (Numpy). Contains Sobol, Morris, Fractional Factorial and FAST methods.\",24.0,24,True,2020-11-12 17:13:12.000000,1.3.12,29.0,salib,conda-forge/salib,,,,44.0,,https://pypi.org/project/salib,2020-11-19 15:36:26.000000,44.0,10575.0,11716.0,https://anaconda.org/conda-forge/salib,2020-10-24 17:04:41.614000,59367.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n394,findspark,minrk/findspark,,others,https://github.com/minrk/findspark,https://github.com/minrk/findspark,BSD-3-Clause,2015-06-12 21:34:06.000000,2020-06-08 09:32:35.000000,2020-06-08 09:31:58.000000,66,11.0,8.0,390,67.0,Find pyspark to make it importable.,14.0,24,True,2020-06-08 09:32:23.000000,1.4.2,12.0,findspark,conda-forge/findspark,,,['spark'],1764.0,1562.0,https://pypi.org/project/findspark,2020-06-08 09:32:23.000000,202.0,455817.0,464684.0,https://anaconda.org/conda-forge/findspark,2018-07-06 12:57:33.438000,505471.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n395,ml-metadata,google/ml-metadata,,ml-experiments,https://github.com/google/ml-metadata,https://github.com/google/ml-metadata,Apache-2.0,2019-01-15 21:02:09.000000,2021-03-05 18:56:39.000000,2021-03-05 18:56:35.000000,62,17.0,42.0,294,475.0,For recording and retrieving metadata associated with ML developer and data scientist workflows.,12.0,24,True,2021-02-23 22:04:56.000000,0.28.0,24.0,ml-metadata,,,,,85.0,85.0,https://pypi.org/project/ml-metadata,2021-02-23 22:04:56.000000,0.0,123377.0,123428.0,,,,,,,,2.0,1243.0,,,,,,,,,,,,,,,,,,,,,\n396,datalad,datalad/datalad,,others,https://github.com/datalad/datalad,https://github.com/datalad/datalad,MIT,2013-11-01 19:40:08.000000,2021-03-11 14:43:45.000000,2021-03-11 14:43:32.000000,69,711.0,2264.0,233,13473.0,\"Keep code, data, containers under control with git and git-annex.\",41.0,24,True,2021-02-02 17:40:16.000000,0.14.0,64.0,datalad,conda-forge/datalad,,,,26.0,,https://pypi.org/project/datalad,2021-02-02 17:35:56.000000,26.0,3284.0,5985.0,https://anaconda.org/conda-forge/datalad,2021-02-03 22:25:50.068000,97245.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n397,Ciphey,Ciphey/Ciphey,,nlp,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39.000000,2021-03-08 19:44:18.000000,2021-03-08 19:44:18.000000,366,39.0,186.0,6470,1740.0,\"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.\",40.0,23,True,2021-02-28 10:55:16.000000,5.11.1,44.0,ciphey,,remnux/ciphey,,,,,https://pypi.org/project/ciphey,2021-02-28 10:54:10.000000,,2507.0,2928.0,,,,https://hub.docker.com/r/remnux/ciphey,2021-02-28 19:47:10.077074,2.0,8421.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n398,NuPIC,numenta/nupic,,ml-frameworks,https://github.com/numenta/nupic,https://github.com/numenta/nupic,AGPL-3.0,2013-04-05 23:14:27.000000,2020-12-11 19:56:36.000000,2019-10-23 20:45:07.000000,1585,456.0,1337.0,6206,6625.0,\"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..\",121.0,23,False,2018-06-01 15:37:54.000000,1.0.5,53.0,nupic,,,,,133.0,95.0,https://pypi.org/project/nupic,2018-06-01 15:37:54.000000,38.0,928.0,928.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n399,Vaex,vaexio/vaex,,data-containers,https://github.com/vaexio/vaex,https://github.com/vaexio/vaex,MIT,2014-09-27 09:44:42.000000,2021-03-10 17:51:42.000000,2021-03-09 10:18:09.000000,453,310.0,403.0,5915,2978.0,\"Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualize and explore big tabular data at a billion..\",39.0,23,True,2020-05-25 21:35:34.000000,3.0.0,48.0,vaex,conda-forge/vaex,,,,4.0,,https://pypi.org/project/vaex,2021-01-27 18:51:38.000000,4.0,3493.0,5345.0,https://anaconda.org/conda-forge/vaex,2021-03-09 14:33:41.948000,98076.0,,,,,3.0,199.0,,,,,,,,,,,,,,,,,,,,,\n400,snownlp,isnowfy/snownlp,,chinese-nlp,https://github.com/isnowfy/snownlp,https://github.com/isnowfy/snownlp,MIT,2013-11-26 11:46:56.000000,2020-01-19 02:39:05.000000,2020-01-19 02:39:03.000000,1239,33.0,65.0,5322,57.0,Python library for processing Chinese text.,8.0,23,False,2015-09-27 16:35:23.000000,0.12.3,17.0,snownlp,,,,,576.0,538.0,https://pypi.org/project/snownlp,2015-09-27 16:35:23.000000,38.0,1496.0,1496.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n401,mmdnn,Microsoft/MMdnn,,model-serialisation,https://github.com/microsoft/MMdnn,https://github.com/microsoft/MMdnn,MIT,2017-08-16 08:03:52.000000,2021-03-01 14:17:24.000000,2020-08-14 02:32:30.000000,936,307.0,287.0,5257,1083.0,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,85.0,23,True,2020-07-24 06:34:39.000000,0.3.1,12.0,mmdnn,,,,,53.0,50.0,https://pypi.org/project/mmdnn,2020-07-24 06:34:39.000000,3.0,379.0,461.0,,,,,,,,2.0,3313.0,,,,,,,,,,,,,,,,,,,,,\n402,Apex,NVIDIA/apex,,gpu-utilities,https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000000,2021-02-26 22:01:01.000000,2021-02-23 06:33:51.000000,701,455.0,365.0,5112,831.0,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,79.0,23,True,,,1.0,,conda-forge/nvidia-apex,,,['pytorch'],478.0,478.0,,,,,2047.0,https://anaconda.org/conda-forge/nvidia-apex,2020-11-23 18:41:00.769000,34815.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n403,Face Alignment,1adrianb/face-alignment,,image,https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44.000000,2021-03-03 00:56:24.000000,2021-03-03 00:56:24.000000,1012,31.0,192.0,4745,198.0,2D and 3D Face alignment library build using pytorch.,22.0,23,True,2020-12-22 21:34:55.000000,1.3.3,9.0,face-alignment,,,,['pytorch'],6.0,,https://pypi.org/project/face-alignment,2020-12-22 21:34:55.000000,6.0,4395.0,4395.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n404,flashtext,vi3k6i5/flashtext,,nlp,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01.000000,2020-06-05 00:37:46.000000,2020-05-03 07:13:22.000000,521,48.0,49.0,4676,108.0,Extract Keywords from sentence or Replace keywords in sentences.,8.0,23,True,,,18.0,flashtext,,,,,410.0,378.0,https://pypi.org/project/flashtext,2018-02-16 05:24:17.000000,32.0,162336.0,162336.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n405,Snips NLU,snipsco/snips-nlu,,nlp,https://github.com/snipsco/snips-nlu,https://github.com/snipsco/snips-nlu,Apache-2.0,2017-02-08 16:16:36.000000,2020-12-24 12:59:47.000000,2020-02-08 21:49:32.000000,463,51.0,196.0,3461,2153.0,Snips Python library to extract meaning from text.,21.0,23,False,2020-01-15 10:13:17.000000,0.20.2,58.0,snips-nlu,,,,,16.0,,https://pypi.org/project/snips-nlu,2020-01-15 10:13:17.000000,16.0,3080.0,3080.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n406,ArrayFire,arrayfire/arrayfire,,gpu-utilities,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000000,2021-03-10 04:07:10.000000,2021-03-10 04:07:09.000000,458,254.0,1216.0,3325,5705.0,ArrayFire: a general purpose GPU library.,80.0,23,True,2021-01-08 21:41:09.000000,3.8.0,30.0,arrayfire,,,,,8.0,,https://pypi.org/project/arrayfire,2021-03-05 17:36:30.000000,8.0,589.0,600.0,,,,,,,,2.0,800.0,,,,,,,,,,,,,,,,,,,,,\n407,Camelot,atlanhq/camelot,,data-loading,https://github.com/atlanhq/camelot,https://github.com/atlanhq/camelot,MIT,2016-06-18 11:48:49.000000,2020-07-27 12:28:15.000000,2019-10-15 05:25:40.000000,307,68.0,275.0,3002,446.0,Camelot: PDF Table Extraction for Humans.,23.0,23,False,2020-07-27 12:28:15.000000,0.8.2,21.0,camelot-py,,,,,20.0,,https://pypi.org/project/camelot-py,2020-07-27 12:28:15.000000,20.0,15859.0,15859.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n408,SHOGUN,shogun-toolbox/shogun,,ml-frameworks,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32.000000,2021-03-05 12:19:13.000000,2020-12-08 16:56:38.000000,1051,465.0,1073.0,2805,16205.0,Unified and efficient Machine Learning.,248.0,23,True,2019-07-05 10:23:31.000000,shogun_6.1.4,10.0,,conda-forge/shogun,shogun/shogun,,,,,,,,,2139.0,https://anaconda.org/conda-forge/shogun,2018-06-25 20:49:17.070000,93597.0,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1445.0,3.0,,,,,,,,,,shogun,,,,,,,,,,,,\n409,keras-vis,raghakot/keras-vis,,interpretability,https://github.com/raghakot/keras-vis,https://github.com/raghakot/keras-vis,MIT,2016-11-11 23:27:34.000000,2020-04-20 01:03:13.000000,2020-04-20 01:03:12.000000,595,114.0,99.0,2799,195.0,Neural network visualization toolkit for keras.,10.0,23,True,2017-07-06 04:55:04.000000,0.4.1,11.0,keras-vis,,,,['tensorflow'],822.0,766.0,https://pypi.org/project/keras-vis,2017-07-06 04:55:04.000000,56.0,1231.0,1231.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n410,einops,arogozhnikov/einops,,ml-frameworks,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08.000000,2021-01-09 20:03:22.000000,2021-01-09 20:03:21.000000,84,21.0,44.0,2576,293.0,\"Deep learning operations reinvented (for pytorch, tensorflow, jax and others).\",10.0,23,True,2020-09-08 08:33:29.000000,0.3,3.0,einops,conda-forge/einops,,,,315.0,305.0,https://pypi.org/project/einops,2020-09-08 08:21:26.000000,10.0,19333.0,19555.0,https://anaconda.org/conda-forge/einops,2020-10-15 20:10:19.681000,4011.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n411,MMLSpark,Azure/mmlspark,,distributed-ml,https://github.com/Azure/mmlspark,https://github.com/Azure/mmlspark,MIT,2017-06-05 08:23:44.000000,2021-03-11 06:18:55.000000,2021-03-10 03:16:31.000000,503,202.0,213.0,2276,792.0,Microsoft Machine Learning for Apache Spark.,64.0,23,True,2020-10-02 19:36:01.000000,1.0.0-rc3,17.0,mmlspark,,,,['spark'],,,https://pypi.org/project/mmlspark,2020-03-18 01:27:31.000000,,29347.0,29347.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n412,neuralcoref,huggingface/neuralcoref,,nlp,https://github.com/huggingface/neuralcoref,https://github.com/huggingface/neuralcoref,MIT,2017-07-03 13:04:16.000000,2021-02-24 08:54:06.000000,2021-02-24 08:54:03.000000,386,45.0,218.0,2218,115.0,Fast Coreference Resolution in spaCy with Neural Networks.,20.0,23,True,2019-04-08 11:28:27.000000,4.0.0,5.0,neuralcoref,conda-forge/neuralcoref,,,,318.0,300.0,https://pypi.org/project/neuralcoref,2019-04-08 09:56:00.000000,18.0,2765.0,3274.0,https://anaconda.org/conda-forge/neuralcoref,2020-02-21 22:10:40.453000,6590.0,,,,,3.0,175.0,,,,,,,,,,,,,,,,,,,,,\n413,Gradio,gradio-app/gradio,,others,https://github.com/gradio-app/gradio,https://github.com/gradio-app/gradio,Apache-2.0,2018-12-19 08:24:04.000000,2021-03-09 17:35:32.000000,2021-03-09 17:35:27.000000,135,8.0,75.0,2148,962.0,\"Wrap UIs around any model, share with anyone.\",16.0,23,True,2021-03-02 18:38:36.000000,1.6.2,87.0,gradio,,,,,86.0,84.0,https://pypi.org/project/gradio,2021-03-02 18:38:36.000000,2.0,1509.0,1509.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n414,Hyperas,maxpumperla/hyperas,,hyperopt,https://github.com/maxpumperla/hyperas,https://github.com/maxpumperla/hyperas,MIT,2016-02-19 14:45:10.000000,2020-12-22 08:31:48.000000,2020-12-22 08:31:47.000000,296,88.0,158.0,2081,209.0,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,21.0,23,True,2019-02-28 09:16:54.000000,0.4.1,9.0,hyperas,,,,['tensorflow'],42.0,,https://pypi.org/project/hyperas,2019-02-28 09:16:54.000000,42.0,18150.0,18150.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n415,PandasGUI,adamerose/pandasgui,,data-viz,https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT,2019-06-12 02:19:42.000000,2021-03-11 05:46:07.000000,2021-03-11 05:25:58.000000,121,17.0,72.0,2064,403.0,A GUI for Pandas DataFrames.,8.0,23,True,2021-03-07 08:16:51.000000,0.2.10,40.0,pandasgui,,,,['pandas'],50.0,48.0,https://pypi.org/project/pandasgui,2021-03-07 08:16:51.000000,2.0,1224.0,1224.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n416,ART,Trusted-AI/adversarial-robustness-toolbox,,adversarial,https://github.com/Trusted-AI/adversarial-robustness-toolbox,https://github.com/Trusted-AI/adversarial-robustness-toolbox,MIT,2018-03-15 14:40:43.000000,2021-03-11 14:40:22.000000,2021-03-07 00:27:17.000000,575,88.0,358.0,2063,,\"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..\",62.0,23,True,2021-02-20 01:11:16.000000,1.5.2,28.0,adversarial-robustness-toolbox,,,,,108.0,108.0,https://pypi.org/project/adversarial-robustness-toolbox,2021-02-20 00:34:52.000000,0.0,1401.0,1401.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n417,Enigma Catalyst,enigmampc/catalyst,,financial-data,https://github.com/enigmampc/catalyst,https://github.com/enigmampc/catalyst,Apache-2.0,2017-06-13 22:31:34.000000,2021-01-05 19:10:30.000000,2020-12-28 10:58:58.000000,602,135.0,363.0,2040,6362.0,An Algorithmic Trading Library for Crypto-Assets in Python.,144.0,23,True,2018-11-11 16:46:28.000000,0.5.21,52.0,enigma-catalyst,,,,,24.0,22.0,https://pypi.org/project/enigma-catalyst,2018-11-11 16:46:28.000000,2.0,1057.0,1057.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n418,Acme,deepmind/acme,,reinforcement-learning,https://github.com/deepmind/acme,https://github.com/deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000000,2021-03-10 11:35:31.000000,2021-03-10 11:35:06.000000,198,43.0,48.0,1964,379.0,A library of reinforcement learning components and agents.,34.0,23,True,2020-10-23 16:00:01.000000,0.2.0,9.0,dm-acme,,,,['tensorflow'],23.0,23.0,https://pypi.org/project/dm-acme,2020-10-23 16:00:01.000000,,427.0,427.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n419,SRU,asappresearch/sru,,pytorch-utils,https://github.com/asappresearch/sru,https://github.com/asappresearch/sru,MIT,2017-08-28 20:37:41.000000,2021-03-05 17:33:06.000000,2021-02-25 16:52:40.000000,280,50.0,56.0,1909,382.0,Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755).,21.0,23,True,2020-12-17 19:40:55.000000,2.6.0-rc1,22.0,sru,,,,['pytorch'],17.0,15.0,https://pypi.org/project/sru,2021-01-22 20:02:59.000000,2.0,942.0,942.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n420,python_speech_features,jameslyons/python_speech_features,,audio,https://github.com/jameslyons/python_speech_features,https://github.com/jameslyons/python_speech_features,MIT,2013-10-31 02:42:08.000000,2020-12-31 13:27:02.000000,2020-12-31 13:27:01.000000,541,23.0,49.0,1855,120.0,This library provides common speech features for ASR including MFCCs and filterbank energies.,18.0,23,True,2020-01-14 14:12:10.000000,0.6.1,6.0,python_speech_features,,,,,300.0,,https://pypi.org/project/python_speech_features,2017-08-16 01:46:13.000000,300.0,33700.0,33700.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n421,GluonTS,awslabs/gluon-ts,,time-series-data,https://github.com/awslabs/gluon-ts,https://github.com/awslabs/gluon-ts,Apache-2.0,2019-05-15 17:17:29.000000,2021-03-10 21:05:14.000000,2021-02-28 12:29:55.000000,384,208.0,366.0,1781,675.0,Probabilistic time series modeling in Python.,69.0,23,True,2021-02-18 17:21:15.000000,0.6.7,30.0,gluonts,,,,['mxnet'],0.0,,https://pypi.org/project/gluonts,2021-02-18 17:21:15.000000,0.0,14569.0,14569.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n422,efficientnet,qubvel/efficientnet,,tensorflow-utils,https://github.com/qubvel/efficientnet,https://github.com/qubvel/efficientnet,Apache-2.0,2019-05-30 20:21:09.000000,2020-12-10 07:02:58.000000,2020-09-15 16:19:36.000000,386,56.0,55.0,1735,64.0,Implementation of EfficientNet model. Keras and TensorFlow Keras.,8.0,23,True,2020-09-15 16:26:00.000000,1.1.1,9.0,efficientnet,,,,['tensorflow'],538.0,534.0,https://pypi.org/project/efficientnet,2020-09-15 16:26:00.000000,4.0,48563.0,55769.0,,,,,,,,3.0,158534.0,,,,,,,,,,,,,,,,,,,,,\n423,Spektral,danielegrattarola/spektral,,graph,https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10.000000,2021-03-11 13:38:31.000000,2021-03-08 09:18:42.000000,200,21.0,112.0,1652,935.0,Graph Neural Networks with Keras and Tensorflow 2.,16.0,23,True,2021-03-03 09:07:22.000000,1.0.5,28.0,spektral,,,,\"['tensorflow\"\"']\",37.0,37.0,https://pypi.org/project/spektral,2021-03-03 09:07:22.000000,0.0,2061.0,2061.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n424,Pillow-SIMD,uploadcare/pillow-simd,,image,https://github.com/uploadcare/pillow-simd,https://github.com/uploadcare/pillow-simd,PIL,2014-11-12 15:33:02.000000,2021-02-11 10:12:55.000000,2020-06-02 14:50:14.000000,65,11.0,53.0,1555,,The friendly PIL fork.,310.0,23,False,2020-01-02 05:19:26.000000,7.0.0,35.0,pillow-simd,,,,,424.0,374.0,https://pypi.org/project/pillow-simd,2020-01-26 14:30:27.000000,50.0,12253.0,12253.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n425,streamparse,Parsely/streamparse,,data-pipelines,https://github.com/Parsely/streamparse,https://github.com/Parsely/streamparse,Apache-2.0,2014-05-02 20:33:50.000000,2020-12-18 18:44:04.000000,2020-12-18 18:43:59.000000,219,69.0,263.0,1428,1059.0,\"Run Python in Apache Storm topologies. Pythonic API, CLI tooling, and a topology DSL.\",40.0,23,True,2020-10-07 19:53:15.000000,4.0.0,47.0,streamparse,,,,,99.0,47.0,https://pypi.org/project/streamparse,2020-10-07 19:45:19.000000,52.0,1040.0,1040.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n426,bonobo,python-bonobo/bonobo,,data-pipelines,https://github.com/python-bonobo/bonobo,https://github.com/python-bonobo/bonobo,Apache-2.0,2016-12-09 04:03:23.000000,2021-03-10 15:44:00.000000,2021-03-10 15:44:00.000000,111,63.0,108.0,1401,978.0,Extract Transform Load for Python 3.5+.,37.0,23,True,2019-05-16 13:19:48.000000,0.6.4,38.0,bonobo,,,http://docs.bonobo-project.org/en/master/,,164.0,112.0,https://pypi.org/project/bonobo,2019-07-20 13:33:19.000000,52.0,3735.0,3735.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n427,Magnitude,plasticityai/magnitude,,nn-search,https://github.com/plasticityai/magnitude,https://github.com/plasticityai/magnitude,MIT,2018-02-24 07:28:16.000000,2021-02-23 18:10:43.000000,2020-07-17 20:19:46.000000,100,26.0,50.0,1393,350.0,\"A fast, efficient universal vector embedding utility package.\",4.0,23,True,2020-05-25 11:26:36.000000,0.1.143,128.0,pymagnitude,,,,,192.0,178.0,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36.000000,14.0,1880.0,1880.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n428,fklearn,nubank/fklearn,,ml-frameworks,https://github.com/nubank/fklearn,https://github.com/nubank/fklearn,Apache-2.0,2019-02-27 14:32:57.000000,2021-02-09 20:46:53.000000,2021-02-09 20:46:53.000000,149,19.0,20.0,1306,117.0,fklearn: Functional Machine Learning.,37.0,23,True,2021-02-09 17:12:04.000000,1.22.0,20.0,fklearn,,,,,10.0,10.0,https://pypi.org/project/fklearn,2021-02-09 17:12:04.000000,,2466.0,2466.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n429,TextAttack,QData/TextAttack,,adversarial,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000000,2021-03-11 15:06:24.000000,2021-02-24 17:05:16.000000,139,30.0,82.0,1279,1935.0,\"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP.\",31.0,23,True,2020-12-27 05:23:02.000000,0.2.15,35.0,textattack,,,,,18.0,18.0,https://pypi.org/project/textattack,2020-12-27 05:23:02.000000,0.0,914.0,914.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n430,modAL,modAL-python/modAL,,others,https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000000,2021-03-10 15:10:43.000000,2021-01-07 09:40:40.000000,181,47.0,50.0,1136,648.0,A modular active learning framework for Python.,14.0,23,True,2021-01-07 09:47:49.000000,0.4.1,12.0,modAL,,,,['sklearn'],61.0,53.0,https://pypi.org/project/modAL,2021-01-07 09:47:49.000000,8.0,999.0,999.0,,,,,,,,3.0,9.0,,,,,,,,,,,,,,,,,,,,,\n431,Optimus,ironmussa/Optimus,,data-pipelines,https://github.com/ironmussa/Optimus,https://github.com/ironmussa/Optimus,Apache-2.0,2017-07-13 02:31:18.000000,2021-03-11 04:58:12.000000,2021-03-11 04:49:57.000000,190,139.0,166.0,983,3530.0,\"Agile Data Preparation Workflows madeeasy with dask, cudf, dask_cudf and pyspark.\",21.0,23,True,2020-07-19 03:05:40.000000,2.2.32,85.0,optimuspyspark,,,,['spark'],13.0,13.0,https://pypi.org/project/optimuspyspark,2019-05-30 02:22:54.000000,,3930.0,3930.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n432,scikit-cuda,lebedov/scikit-cuda,,gpu-utilities,https://github.com/lebedov/scikit-cuda,https://github.com/lebedov/scikit-cuda,BSD-3-Clause,2010-09-27 02:02:07.000000,2021-02-17 17:00:37.000000,2021-02-17 17:00:27.000000,156,41.0,164.0,803,1027.0,Python interface to GPU-powered libraries.,44.0,23,True,2019-05-27 00:29:00.000000,0.5.3,7.0,scikit-cuda,,,,,192.0,122.0,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00.000000,70.0,428.0,428.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n433,stockstats,jealous/stockstats,,financial-data,https://github.com/jealous/stockstats,https://github.com/jealous/stockstats,BSD-3-Clause,2016-06-05 15:21:22.000000,2020-12-10 07:08:11.000000,2020-10-17 10:59:35.000000,202,29.0,31.0,734,23.0,Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.,7.0,23,True,2020-10-17 11:10:43.000000,0.3.2,14.0,stockstats,,,,,234.0,186.0,https://pypi.org/project/stockstats,2020-10-17 11:10:43.000000,48.0,18862.0,18862.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n434,GPyOpt,SheffieldML/GPyOpt,,hyperopt,https://github.com/SheffieldML/GPyOpt,https://github.com/SheffieldML/GPyOpt,BSD-3-Clause,2014-08-13 09:58:25.000000,2020-11-17 10:32:02.000000,2020-11-05 15:16:04.000000,220,100.0,186.0,715,514.0,Gaussian Process Optimization using GPy.,49.0,23,True,2020-03-19 21:21:18.000000,1.2.6,11.0,gpyopt,,,,,214.0,178.0,https://pypi.org/project/gpyopt,2020-03-19 11:37:45.000000,36.0,3638.0,3638.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n435,TreeInterpreter,andosa/treeinterpreter,,interpretability,https://github.com/andosa/treeinterpreter,https://github.com/andosa/treeinterpreter,BSD-3-Clause,2015-08-02 20:26:21.000000,2021-02-28 18:33:06.000000,2021-02-28 18:33:06.000000,133,25.0,4.0,648,37.0,Package for interpreting scikit-learn's decision tree and random forest predictions.,11.0,23,True,2021-01-10 20:12:39.000000,0.2.3,5.0,treeinterpreter,,,,['sklearn'],138.0,120.0,https://pypi.org/project/treeinterpreter,2021-01-10 20:12:39.000000,18.0,67700.0,67700.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n436,CellProfiler,CellProfiler/CellProfiler,,image,https://github.com/CellProfiler/CellProfiler,https://github.com/CellProfiler/CellProfiler,BSD-3-Clause,2011-04-05 12:10:12.000000,2021-03-02 23:38:29.000000,2021-02-19 16:37:05.000000,271,159.0,2782.0,548,15307.0,An open-source application for biological image analysis.,119.0,23,True,2021-02-16 21:59:54.000000,4.1.3,41.0,cellprofiler,,,,,3.0,3.0,https://pypi.org/project/cellprofiler,2017-09-04 18:03:36.000000,,199.0,207.0,,,,,,,,3.0,751.0,,,,,,,,,,,,,,,,,,,,,\n437,PDPbox,SauceCat/PDPbox,,data-viz,https://github.com/SauceCat/PDPbox,https://github.com/SauceCat/PDPbox,MIT,2017-06-26 08:01:54.000000,2021-01-13 08:25:09.000000,2018-12-08 10:06:13.000000,84,37.0,17.0,541,223.0,python partial dependence plot toolbox.,7.0,23,False,2018-07-23 13:33:35.000000,0.2.0,2.0,pdpbox,conda-forge/pdpbox,,,,375.0,341.0,https://pypi.org/project/pdpbox,2018-07-23 13:33:35.000000,34.0,27558.0,27866.0,https://anaconda.org/conda-forge/pdpbox,2019-07-17 16:58:38.379000,6171.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n438,tinytag,devsnd/tinytag,,audio,https://github.com/devsnd/tinytag,https://github.com/devsnd/tinytag,MIT,2014-01-27 15:27:01.000000,2021-02-28 13:52:23.000000,2020-11-11 16:13:44.000000,82,16.0,60.0,441,308.0,\"Read music meta data and length of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA and Wave files with python 2 or 3.\",18.0,23,True,2020-11-05 12:44:52.000000,1.5.0,33.0,tinytag,,,,,412.0,316.0,https://pypi.org/project/tinytag,2020-11-05 12:44:52.000000,96.0,2014.0,2014.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n439,python-ternary,marcharper/python-ternary,,data-viz,https://github.com/marcharper/python-ternary,https://github.com/marcharper/python-ternary,MIT,2012-08-07 23:48:55.000000,2021-02-17 22:38:55.625000,2021-02-17 18:21:08.000000,111,25.0,79.0,404,384.0,Ternary plotting library for python with matplotlib.,25.0,23,True,2021-02-17 18:38:15.000000,1.0.8,11.0,python-ternary,conda-forge/python-ternary,,,,80.0,60.0,https://pypi.org/project/python-ternary,2021-02-17 18:38:15.000000,20.0,748.0,1593.0,https://anaconda.org/conda-forge/python-ternary,2021-02-17 22:38:55.625000,49866.0,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,,,,\n440,sklearn-crfsuite,TeamHG-Memex/sklearn-crfsuite,,sklearn-utils,https://github.com/TeamHG-Memex/sklearn-crfsuite,https://github.com/TeamHG-Memex/sklearn-crfsuite,MIT,2015-11-26 21:15:41.000000,2020-12-30 08:00:27.000000,2019-12-05 08:17:22.000000,153,34.0,22.0,363,46.0,scikit-learn inspired API for CRFsuite.,6.0,23,False,2017-06-22 18:49:27.000000,0.3.6,9.0,sklearn-crfsuite,,,,['sklearn'],2927.0,2531.0,https://pypi.org/project/sklearn-crfsuite,2017-06-22 18:49:27.000000,396.0,33164.0,33164.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n441,messytables,okfn/messytables,,data-loading,https://github.com/okfn/messytables,https://github.com/okfn/messytables,MIT,2011-07-27 18:08:21.000000,2021-01-07 22:24:38.000000,2019-11-13 07:35:33.000000,101,34.0,55.0,362,601.0,Tools for parsing messy tabular data. This is now superseded by https://github.com/frictionlessdata/tabulator-py.,44.0,23,False,2017-02-09 12:37:47.000000,0.15.2,26.0,messytables,,,,,407.0,175.0,https://pypi.org/project/messytables,2017-02-09 12:37:47.000000,232.0,3754.0,3754.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n442,pySBD,nipunsadvilkar/pySBD,,nlp,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20.000000,2021-02-11 16:42:37.000000,2021-02-11 16:40:18.000000,27,3.0,48.0,293,279.0,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,6.0,23,True,2021-02-11 16:42:37.000000,0.3.4,15.0,pysbd,,,,,114.0,110.0,https://pypi.org/project/pysbd,2021-02-11 16:36:33.000000,4.0,11293.0,11293.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n443,NIPY,nipy/nipy,,medical-data,https://github.com/nipy/nipy,https://github.com/nipy/nipy,BSD-3-Clause,2010-05-02 10:00:33.000000,2021-03-10 16:30:30.000000,2021-03-10 16:30:30.000000,123,43.0,107.0,293,6403.0,Neuroimaging in Python FMRI analysis package.,63.0,23,True,2018-02-19 14:14:08.000000,0.4.2,6.0,nipy,conda-forge/nipy,,,,82.0,,https://pypi.org/project/nipy,2018-02-19 14:14:08.000000,82.0,489.0,2170.0,https://anaconda.org/conda-forge/nipy,2020-05-04 19:38:04.112000,74000.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n444,pysparkling,svenkreiss/pysparkling,,data-pipelines,https://github.com/svenkreiss/pysparkling,https://github.com/svenkreiss/pysparkling,MIT,2015-05-09 19:23:20.000000,2021-03-05 14:35:43.000000,2021-02-22 17:29:11.000000,43,6.0,21.0,232,1527.0,A pure Python implementation of Apache Spark's RDD and DStream interfaces.,10.0,23,True,2021-01-10 21:15:26.000000,0.6.1,68.0,pysparkling,,,,,72.0,58.0,https://pypi.org/project/pysparkling,2021-01-10 21:15:26.000000,14.0,5030.0,5030.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n445,PaddleHub,PaddlePaddle/PaddleHub,,others,https://github.com/PaddlePaddle/PaddleHub,https://github.com/PaddlePaddle/PaddleHub,Apache-2.0,2018-12-21 06:00:48.000000,2021-03-11 14:58:22.000000,2021-03-11 01:57:25.000000,1044,325.0,398.0,4731,,\"Awesome pre-trained models toolkit based on PaddlePaddle.270+ models including Image, Text, Audio and Video with Easy..\",34.0,22,True,2021-03-02 06:45:07.000000,2.0.3,43.0,paddlehub,,,,['paddle'],121.0,121.0,https://pypi.org/project/paddlehub,2021-03-02 06:45:07.000000,0.0,1024.0,1042.0,,,,,,,,3.0,444.0,,,,,,,,,,,,,,,,,,,,,\n446,textgenrnn,minimaxir/textgenrnn,,nlp,https://github.com/minimaxir/textgenrnn,https://github.com/minimaxir/textgenrnn,MIT,2017-08-07 02:13:37.000000,2020-12-25 03:33:19.000000,2020-07-14 02:41:10.000000,681,117.0,80.0,4302,174.0,Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines..,19.0,22,True,2020-02-03 01:07:00.000000,2.0.0,14.0,textgenrnn,,,,['tensorflow'],714.0,686.0,https://pypi.org/project/textgenrnn,2020-02-02 21:16:15.000000,28.0,594.0,607.0,,,,,,,,3.0,461.0,,,,,,,,,,,,,,,,,,,,,\n447,neon,NervanaSystems/neon,,ml-frameworks,https://github.com/NervanaSystems/neon,https://github.com/NervanaSystems/neon,Apache-2.0,2014-10-16 01:00:17.000000,2020-12-23 01:21:42.000000,2019-05-22 18:27:54.000000,848,87.0,305.0,3850,1118.0,Intel Nervana reference deep learning framework committed to best performance on all hardware.,109.0,22,False,2018-01-05 23:25:04.000000,2.6.0,32.0,nervananeon,,,,,43.0,42.0,https://pypi.org/project/nervananeon,2018-01-05 23:25:04.000000,1.0,79.0,83.0,,,,,,,,3.0,297.0,,,,,,,,,,,,,,,,,,,,,\n448,PyAlgoTrade,gbeced/pyalgotrade,,financial-data,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54.000000,2020-12-24 18:41:56.000000,2018-08-21 02:42:52.000000,1187,45.0,81.0,3208,1156.0,Python Algorithmic Trading Library.,11.0,22,False,,,8.0,pyalgotrade,,,,,91.0,70.0,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25.000000,21.0,520.0,520.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n449,TensorWatch,microsoft/tensorwatch,,ml-experiments,https://github.com/microsoft/tensorwatch,https://github.com/microsoft/tensorwatch,MIT,2019-05-15 08:29:34.000000,2021-02-10 08:45:14.000000,2021-01-15 19:46:05.000000,321,49.0,15.0,3046,112.0,\"Debugging, monitoring and visualization for Python Machine Learning and Data Science.\",13.0,22,True,2020-03-04 07:26:22.000000,0.9.1,14.0,tensorwatch,,,,,51.0,45.0,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22.000000,6.0,2439.0,2439.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n450,segmentation_models,qubvel/segmentation_models,,image,https://github.com/qubvel/segmentation_models,https://github.com/qubvel/segmentation_models,MIT,2018-06-05 13:27:56.000000,2020-12-13 13:48:40.000000,2020-04-17 09:51:20.000000,693,156.0,237.0,3008,204.0,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,14.0,22,True,2020-01-10 11:36:02.000000,1.0.1,8.0,segmentation_models,,,,['tensorflow'],24.0,,https://pypi.org/project/segmentation_models,2020-01-10 11:36:02.000000,24.0,14023.0,14023.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n451,Porcupine,Picovoice/Porcupine,,audio,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000000,2021-03-11 02:16:01.000000,2021-03-11 02:16:01.000000,336,7.0,283.0,2362,400.0,On-device wake word detection powered by deep learning.,26.0,22,True,2021-03-05 21:16:46.000000,1.9.4,18.0,pvporcupine,,,,,5.0,5.0,https://pypi.org/project/pvporcupine,2021-03-05 21:16:46.000000,0.0,576.0,576.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n452,analytics-zoo,intel-analytics/analytics-zoo,,distributed-ml,https://github.com/intel-analytics/analytics-zoo,https://github.com/intel-analytics/analytics-zoo,Apache-2.0,2017-05-05 02:27:30.000000,2021-03-11 10:07:34.000000,2021-03-11 09:40:55.000000,635,456.0,552.0,2219,2630.0,\"Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray.\",83.0,22,True,2020-12-17 03:25:36.000000,0.9.0,56.0,analytics-zoo,,,,['spark'],2.0,2.0,https://pypi.org/project/analytics-zoo,2021-03-02 06:12:54.000000,,658.0,658.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n453,D-Tale,man-group/dtale,,data-viz,https://github.com/man-group/dtale,https://github.com/man-group/dtale,LGPL-2.1,2019-07-15 09:34:48.000000,2021-03-11 04:59:19.000000,2021-03-11 04:59:14.000000,147,33.0,286.0,2102,365.0,Visualizer for pandas data structures.,15.0,22,True,2021-03-11 04:04:50.000000,1.38.0,105.0,dtale,conda-forge/dtale,,,\"['pandas', 'jupyter']\",108.0,108.0,https://pypi.org/project/dtale,2021-03-06 05:22:57.000000,0.0,3157.0,6221.0,https://anaconda.org/conda-forge/dtale,2021-03-11 04:32:03.612000,39832.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n454,TF Ranking,tensorflow/ranking,,recommender-systems,https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57.000000,2021-02-04 05:28:32.000000,2021-02-04 05:28:28.000000,367,26.0,204.0,2073,325.0,Learning to Rank in TensorFlow.,20.0,22,True,2021-02-02 16:58:47.000000,0.3.3,15.0,tensorflow_ranking,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow_ranking,2021-01-30 02:05:46.000000,2.0,21819.0,21819.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n455,scikit-opt,guofei9987/scikit-opt,,sklearn-utils,https://github.com/guofei9987/scikit-opt,https://github.com/guofei9987/scikit-opt,MIT,2017-12-05 10:20:41.000000,2021-02-02 07:04:40.000000,2021-02-02 07:04:39.000000,471,24.0,62.0,2029,238.0,\"Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune..\",8.0,22,True,2020-11-20 12:55:12.000000,0.6.1,18.0,scikit-opt,,,,['sklearn'],28.0,25.0,https://pypi.org/project/scikit-opt,2020-11-20 12:52:22.000000,3.0,327.0,327.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n456,knockknock,huggingface/knockknock,,ml-experiments,https://github.com/huggingface/knockknock,https://github.com/huggingface/knockknock,MIT,2019-03-20 13:08:55.000000,2021-01-09 06:11:00.000000,2020-03-16 04:26:47.000000,160,12.0,21.0,2014,75.0,Knock Knock: Get notified when your training ends with only two additional lines of code.,18.0,22,True,2020-03-04 04:15:47.000000,0.1.8,10.0,knockknock,conda-forge/knockknock,,,,146.0,143.0,https://pypi.org/project/knockknock,2020-03-16 14:30:23.000000,3.0,1311.0,1647.0,https://anaconda.org/conda-forge/knockknock,2020-03-17 01:52:16.317000,5726.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n457,PyFlux,RJT1990/pyflux,,time-series-data,https://github.com/RJT1990/pyflux,https://github.com/RJT1990/pyflux,BSD-3-Clause,2016-02-16 20:12:02.000000,2019-03-19 10:45:02.000000,2018-12-16 15:30:13.000000,209,79.0,65.0,1854,118.0,Open source time series library for Python.,6.0,22,False,2017-11-21 16:27:06.000000,0.4.16,35.0,pyflux,,,,,205.0,175.0,https://pypi.org/project/pyflux,2017-11-21 16:27:06.000000,30.0,8091.0,8091.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n458,MONAI,Project-MONAI/MONAI,,medical-data,https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000000,2021-03-11 14:59:46.000000,2021-03-11 03:59:45.000000,317,78.0,660.0,1823,836.0,AI Toolkit for Healthcare Imaging.,55.0,22,True,2020-12-15 15:21:13.000000,0.4.0,15.0,monai,,,,['pytorch'],,,https://pypi.org/project/monai,2020-12-15 15:16:56.000000,,2574.0,2574.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n459,DDSP,magenta/ddsp,,audio,https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27.000000,2021-03-09 23:25:04.000000,2021-03-05 23:47:12.000000,174,15.0,91.0,1794,357.0,DDSP: Differentiable Digital Signal Processing.,24.0,22,True,2021-01-14 01:59:27.000000,1.0.1,28.0,ddsp,,,,['tensorflow'],7.0,7.0,https://pypi.org/project/ddsp,2021-01-14 01:59:27.000000,,795.0,795.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n460,Essentia,MTG/essentia,,audio,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000000,2021-03-11 12:27:42.000000,2021-03-02 11:31:06.000000,402,307.0,570.0,1744,2767.0,\"C++ library for audio and music analysis, description and synthesis, including Python bindings.\",70.0,22,False,2015-03-31 16:33:30.000000,2.0,9.0,essentia,,,,,170.0,160.0,https://pypi.org/project/essentia,2021-01-13 00:12:18.000000,10.0,892.0,892.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n461,vidgear,abhiTronix/vidgear,,image,https://github.com/abhiTronix/vidgear,https://github.com/abhiTronix/vidgear,Apache-2.0,2019-03-17 02:42:42.000000,2021-03-01 04:05:38.000000,2021-01-01 04:26:42.000000,115,5.0,132.0,1668,547.0,High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features.,5.0,22,True,2021-01-01 07:57:09.000000,0.2.0,12.0,vidgear,,,,,92.0,90.0,https://pypi.org/project/vidgear,2021-01-01 07:57:09.000000,2.0,832.0,845.0,,,,,,,,3.0,314.0,,,,,,,,,,,,,,,,,,,,,\n462,Multicore-TSNE,DmitryUlyanov/Multicore-TSNE,,data-viz,https://github.com/DmitryUlyanov/Multicore-TSNE,https://github.com/DmitryUlyanov/Multicore-TSNE,BSD-3-Clause,2016-10-19 05:46:52.000000,2020-12-20 08:15:51.000000,2020-08-19 14:58:00.000000,199,36.0,20.0,1545,113.0,Parallel t-SNE implementation with Python and Torch wrappers.,15.0,22,True,2017-11-08 13:32:20.000000,0.0.1,3.0,MulticoreTSNE,conda-forge/multicore-tsne,,,['pytorch'],244.0,216.0,https://pypi.org/project/MulticoreTSNE,2019-01-09 07:23:04.000000,28.0,2194.0,2416.0,https://anaconda.org/conda-forge/multicore-tsne,2018-11-12 17:08:01.525000,6239.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n463,fast-bert,kaushaltrivedi/fast-bert,,nlp,https://github.com/utterworks/fast-bert,https://github.com/utterworks/fast-bert,Apache-2.0,2019-04-18 22:01:20.000000,2021-03-09 01:10:31.000000,2021-03-09 01:10:25.000000,312,136.0,91.0,1531,269.0,Super easy library for BERT based NLP models.,34.0,22,True,2021-03-09 00:19:27.000000,1.9.7,41.0,fast-bert,,,,,2.0,,https://pypi.org/project/fast-bert,2021-03-09 00:19:27.000000,2.0,1193.0,1193.0,,,,,,,,3.0,,,,,,,,,,,,,utterworks/fast-bert,,,,,,,,,\n464,PyTextRank,DerwenAI/pytextrank,,nlp,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000000,2021-03-10 19:37:27.000000,2021-03-10 19:37:27.000000,300,18.0,41.0,1505,,Python implementation of TextRank for phrase extraction and summarization of text documents.,13.0,22,True,2021-02-27 08:54:09.000000,3.0.1,13.0,pytextrank,,,,,141.0,129.0,https://pypi.org/project/pytextrank,2021-02-27 08:54:09.000000,12.0,4406.0,4406.0,,,,,,,,3.0,,-2.0,,,,,,,,,,,,,,,,,,,,\n465,anaGo,Hironsan/anago,,nlp,https://github.com/Hironsan/anago,https://github.com/Hironsan/anago,MIT,2017-06-26 21:28:36.000000,2021-02-02 21:42:33.000000,2019-10-23 03:19:52.000000,358,36.0,71.0,1390,296.0,\"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.\",11.0,22,False,2018-07-17 01:59:21.000000,1.0.8,14.0,anago,,,,['tensorflow'],30.0,25.0,https://pypi.org/project/anago,2018-07-17 01:59:21.000000,5.0,1980.0,1980.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n466,Talos,autonomio/talos,,hyperopt,https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41.000000,2020-11-21 16:37:14.000000,2020-11-21 16:27:04.000000,224,41.0,346.0,1382,538.0,\"Hyperparameter Optimization for TensorFlow, Keras and PyTorch.\",19.0,22,True,2020-11-09 16:48:30.000000,1.0,14.0,talos,,,,['tensorflow'],117.0,111.0,https://pypi.org/project/talos,2020-11-09 16:49:08.000000,6.0,1099.0,1099.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n467,Pypeline,cgarciae/pypeln,,data-pipelines,https://github.com/cgarciae/pypeln,https://github.com/cgarciae/pypeln,MIT,2018-09-01 13:43:31.000000,2021-01-05 18:00:20.000000,2021-01-05 17:59:44.000000,67,12.0,35.0,1213,234.0,Concurrent data pipelines in Python .,9.0,22,True,2021-01-05 18:00:06.000000,0.4.7,34.0,pypeln,,,,,10.0,,https://pypi.org/project/pypeln,2021-01-05 18:00:06.000000,10.0,4108.0,4108.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n468,FARM,deepset-ai/FARM,,nlp,https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12.000000,2021-03-10 17:50:23.000000,2021-03-09 11:02:37.000000,167,38.0,308.0,1131,546.0,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,32.0,22,True,2021-02-22 17:44:33.000000,0.7.0,23.0,farm,,,,['pytorch'],2.0,,https://pypi.org/project/farm,2021-02-22 17:30:04.000000,2.0,2565.0,2565.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n469,garage,rlworkgroup/garage,,reinforcement-learning,https://github.com/rlworkgroup/garage,https://github.com/rlworkgroup/garage,MIT,2018-06-10 21:31:23.000000,2021-03-09 01:11:09.000000,2021-03-02 19:40:54.000000,203,182.0,775.0,1096,1199.0,A toolkit for reproducible reinforcement learning research.,73.0,22,True,2020-09-17 07:34:11.000000,2020.6.3,21.0,garage,,,,['tensorflow'],14.0,14.0,https://pypi.org/project/garage,2020-10-02 17:16:03.000000,0.0,192.0,192.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n470,pycm,sepandhaghighi/pycm,,others,https://github.com/sepandhaghighi/pycm,https://github.com/sepandhaghighi/pycm,MIT,2018-01-22 19:46:54.000000,2021-03-11 12:30:59.000000,2020-10-26 15:51:32.000000,91,17.0,150.0,1069,2508.0,Multi-class confusion matrix library in Python.,14.0,22,True,2020-10-26 16:31:56.000000,3.0,34.0,pycm,,,,,103.0,93.0,https://pypi.org/project/pycm,2020-10-26 16:32:30.000000,10.0,2185.0,2185.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n471,pandasql,yhat/pandasql,,data-containers,https://github.com/yhat/pandasql,https://github.com/yhat/pandasql,MIT,2013-02-18 01:53:56.000000,2020-08-14 13:00:13.000000,2017-02-01 15:40:30.000000,141,44.0,23.0,948,127.0,sqldf for pandas.,15.0,22,False,2016-04-20 21:52:36.000000,0.7.3,31.0,pandasql,,,,['pandas'],767.0,669.0,https://pypi.org/project/pandasql,2016-04-20 21:52:36.000000,98.0,123900.0,123900.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n472,fancyimpute,iskandr/fancyimpute,,sklearn-utils,https://github.com/iskandr/fancyimpute,https://github.com/iskandr/fancyimpute,Apache-2.0,2015-11-05 23:39:34.000000,2021-01-25 00:27:52.000000,2021-01-25 00:27:51.000000,146,4.0,103.0,941,198.0,Multivariate imputation and matrix completion algorithms implemented in Python.,11.0,22,True,2020-07-16 21:36:59.000000,0.5.5,26.0,fancyimpute,,,,['sklearn'],795.0,753.0,https://pypi.org/project/fancyimpute,2020-07-16 21:36:59.000000,42.0,4429.0,4429.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n473,ChainerRL,chainer/chainerrl,,reinforcement-learning,https://github.com/chainer/chainerrl,https://github.com/chainer/chainerrl,MIT,2017-01-30 04:58:15.000000,2020-12-09 06:26:53.000000,2020-12-09 06:26:52.000000,205,75.0,146.0,932,3458.0,ChainerRL is a deep reinforcement learning library built on top of Chainer.,29.0,22,True,2020-02-14 05:35:56.000000,0.8.0,10.0,chainerrl,,,,,106.0,92.0,https://pypi.org/project/chainerrl,2020-02-14 05:35:56.000000,14.0,250.0,250.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n474,Alibi,SeldonIO/alibi,,interpretability,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Apache-2.0,2019-02-26 10:10:56.000000,2021-03-08 17:33:45.000000,2021-03-08 17:33:45.000000,112,71.0,81.0,913,241.0,Algorithms for monitoring and explaining machine learning models.,12.0,22,True,2021-02-18 12:50:04.000000,0.5.6,16.0,alibi,,,,,82.0,64.0,https://pypi.org/project/alibi,2021-02-18 12:48:56.000000,18.0,3390.0,3390.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n475,FinTA,peerchemist/finta,,financial-data,https://github.com/peerchemist/finta,https://github.com/peerchemist/finta,LGPL-3.0,2016-09-01 21:02:46.000000,2021-01-28 17:17:10.000000,2021-01-28 17:16:53.000000,294,10.0,59.0,885,368.0,Common financial technical indicators implemented in Pandas.,22.0,22,False,2020-10-21 11:36:19.000000,1.2,19.0,finta,,,,,61.0,57.0,https://pypi.org/project/finta,2020-10-21 11:39:44.000000,4.0,3284.0,3284.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n476,luminol,linkedin/luminol,,time-series-data,https://github.com/linkedin/luminol,https://github.com/linkedin/luminol,Apache-2.0,2015-11-18 23:16:33.000000,2020-12-27 09:54:35.000000,2018-01-09 07:46:55.000000,179,24.0,12.0,884,69.0,Anomaly Detection and Correlation library.,8.0,22,False,2016-01-20 01:01:44.000000,0.3.1,5.0,luminol,,,,,52.0,38.0,https://pypi.org/project/luminol,2017-12-11 06:04:15.000000,14.0,155097.0,155097.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n477,keract,philipperemy/keract,,interpretability,https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57.000000,2021-02-04 06:05:42.000000,2021-01-24 05:36:29.000000,175,2.0,75.0,859,359.0,Activation Maps (Layers Outputs) and Gradients in Keras.,15.0,22,True,2021-01-22 09:01:30.000000,4.4.0,37.0,keract,,,,['tensorflow'],78.0,73.0,https://pypi.org/project/keract,2021-01-22 09:01:30.000000,5.0,969.0,969.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n478,minisom,JustGlowing/minisom,,others,https://github.com/JustGlowing/minisom,https://github.com/JustGlowing/minisom,CC-BY-3.0,2013-07-03 10:10:06.000000,2021-02-25 16:35:41.000000,2021-02-25 16:35:41.000000,255,7.0,64.0,791,431.0,MiniSom is a minimalistic implementation of the Self Organizing Maps.,20.0,22,False,2020-11-03 08:23:06.000000,2.2.7,14.0,minisom,,,,,159.0,151.0,https://pypi.org/project/minisom,2020-06-19 06:29:59.000000,8.0,3417.0,3417.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n479,ogb,snap-stanford/ogb,,graph,https://github.com/snap-stanford/ogb,https://github.com/snap-stanford/ogb,MIT,2019-11-22 22:13:57.000000,2021-03-10 13:47:51.000000,2021-03-05 08:58:19.000000,117,1.0,97.0,769,408.0,\"Benchmark datasets, data loaders, and evaluators for graph machine learning.\",12.0,22,True,2021-03-01 05:00:30.000000,1.2.6,11.0,ogb,,,,,58.0,58.0,https://pypi.org/project/ogb,2021-02-24 21:01:30.000000,0.0,2102.0,2102.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n480,Opacus,pytorch/opacus,,privacy-ml,https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000000,2021-03-10 19:25:01.000000,2021-03-10 19:18:57.000000,103,11.0,59.0,758,229.0,Training PyTorch models with differential privacy.,27.0,22,True,2021-03-10 19:25:01.000000,0.13.0,8.0,opacus,,,,['pytorch'],15.0,15.0,https://pypi.org/project/opacus,2021-03-10 19:25:01.000000,0.0,2882.0,2885.0,,,,,,,,2.0,31.0,,,,,,,,,,,,,,,,,,,,,\n481,Darts,unit8co/darts,,time-series-data,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000000,2021-03-11 10:55:10.000000,2021-02-03 09:28:07.000000,100,24.0,49.0,754,314.0,A python library for easy manipulation and forecasting of time series.,23.0,22,True,2021-02-03 11:18:37.000000,0.6.1,10.0,u8darts,,unit8/darts,,,14.0,14.0,https://pypi.org/project/u8darts,2021-02-03 11:18:37.000000,0.0,4422.0,4425.0,,,,https://hub.docker.com/r/unit8/darts,2021-02-03 09:39:53.970650,,101.0,2.0,,,,,,,,,,,,,,,,,,,,,,\n482,gmaps,pbugnion/gmaps,,geospatial-data,https://github.com/pbugnion/gmaps,https://github.com/pbugnion/gmaps,BSD-3-Clause,2014-12-01 09:12:06.000000,2020-10-13 07:09:18.000000,2019-07-22 06:22:45.000000,143,66.0,135.0,702,1380.0,Google maps for Jupyter notebooks.,16.0,22,False,2019-07-21 08:49:48.715000,0.9.0,94.0,gmaps,conda-forge/gmaps,,,['jupyter'],75.0,1.0,https://pypi.org/project/gmaps,2019-07-21 08:49:39.000000,74.0,3503.0,10043.0,https://anaconda.org/conda-forge/gmaps,2019-08-02 11:56:50.940000,210675.0,,,,,3.0,,,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715000,,1961.0,,,,,,,,,,,,,,\n483,GPUtil,anderskm/gputil,,gpu-utilities,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43.000000,2020-10-01 05:42:49.000000,2019-08-16 09:00:15.000000,77,10.0,14.0,680,140.0,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,13.0,22,False,2018-12-18 09:12:13.000000,1.4.0,8.0,gputil,,,,,1147.0,1045.0,https://pypi.org/project/gputil,2018-12-18 09:12:13.000000,102.0,40927.0,40927.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n484,arch,bashtage/arch,,financial-data,https://github.com/bashtage/arch,https://github.com/bashtage/arch,NCSA,2014-08-29 15:41:28.000000,2021-03-10 10:50:16.000000,2021-03-10 10:46:29.000000,161,16.0,129.0,655,,ARCH models in Python.,26.0,22,False,2021-03-03 14:46:05.000000,4.18,31.0,arch,,,,,306.0,264.0,https://pypi.org/project/arch,2021-03-02 17:45:38.000000,42.0,27120.0,27120.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n485,Node2Vec,eliorc/node2vec,,graph,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000000,2021-01-09 08:40:34.000000,2021-01-09 08:39:26.000000,166,1.0,48.0,650,48.0,Implementation of the node2vec algorithm.,7.0,22,True,2021-01-09 08:40:34.000000,0.4.1,13.0,node2vec,conda-forge/node2vec,,,,127.0,117.0,https://pypi.org/project/node2vec,2021-01-09 08:38:24.000000,10.0,4866.0,5339.0,https://anaconda.org/conda-forge/node2vec,2020-04-25 22:41:13.714000,16114.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n486,pingouin,raphaelvallat/pingouin,,probabilistics,https://github.com/raphaelvallat/pingouin,https://github.com/raphaelvallat/pingouin,GPL-3.0,2018-04-01 01:10:22.000000,2021-02-25 17:35:51.000000,2021-02-25 17:35:16.000000,53,13.0,114.0,645,1073.0,Statistical package in Python based on Pandas.,17.0,22,False,2021-02-16 05:46:44.000000,0.3.10,32.0,pingouin,conda-forge/pingouin,,,,185.0,175.0,https://pypi.org/project/pingouin,2021-02-16 05:37:08.000000,10.0,11324.0,12527.0,https://anaconda.org/conda-forge/pingouin,2021-02-16 07:48:18.164000,32498.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n487,scikit-multilearn,scikit-multilearn/scikit-multilearn,,sklearn-utils,https://github.com/scikit-multilearn/scikit-multilearn,https://github.com/scikit-multilearn/scikit-multilearn,BSD-2-Clause,2014-04-30 13:05:44.000000,2020-06-30 10:19:46.000000,2019-05-21 11:29:06.000000,120,64.0,92.0,636,487.0,A scikit-learn based module for multi-label et. al. classification.,15.0,22,False,2018-12-10 16:24:47.000000,0.2.0,6.0,scikit-multilearn,,,,['sklearn'],389.0,367.0,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47.000000,22.0,31984.0,31984.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n488,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,,data-viz,https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14.000000,2021-01-27 21:04:48.000000,2021-01-27 20:56:22.000000,78,21.0,55.0,626,262.0,Bokeh Plotting Backend for Pandas and GeoPandas.,11.0,22,True,2021-01-27 21:04:48.000000,0.5.3,14.0,pandas-bokeh,,,,['pandas'],152.0,142.0,https://pypi.org/project/pandas-bokeh,2021-01-27 21:04:48.000000,10.0,4679.0,4679.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n489,Prince,MaxHalford/prince,,others,https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000000,2021-02-24 22:35:15.000000,2021-01-11 21:14:58.000000,114,26.0,64.0,587,179.0,\"Python factor analysis library (PCA, CA, MCA, MFA, FAMD).\",9.0,22,True,2020-10-06 11:26:47.000000,0.7.1,41.0,prince,,,,['sklearn'],115.0,109.0,https://pypi.org/project/prince,2020-10-06 11:26:47.000000,6.0,4772.0,4772.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n490,Sentinelsat,sentinelsat/sentinelsat,,geospatial-data,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26.000000,2021-02-08 09:57:22.000000,2021-01-31 18:47:01.000000,165,32.0,210.0,576,801.0,Search and download Copernicus Sentinel satellite images.,34.0,22,False,2020-06-12 07:15:51.000000,0.14,36.0,sentinelsat,,,,,216.0,172.0,https://pypi.org/project/sentinelsat,2020-06-12 07:08:37.000000,44.0,5315.0,5318.0,,,,,,,,3.0,196.0,,,,,,,,,,,,,,,,,,,,,\n491,combo,yzhao062/combo,,sklearn-utils,https://github.com/yzhao062/combo,https://github.com/yzhao062/combo,BSD-2-Clause,2019-07-14 01:13:36.000000,2020-12-23 14:27:11.000000,2020-12-23 14:27:05.000000,81,9.0,3.0,480,201.0,(AAAI' 20) A Python Toolbox for Machine Learning Model Combination.,1.0,22,True,2020-12-23 02:21:49.000000,0.1.2,12.0,combo,,,,\"['sklearn', 'xgboost']\",295.0,295.0,https://pypi.org/project/combo,2020-12-23 02:21:49.000000,0.0,21678.0,21678.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n492,random-forest-importances,parrt/random-forest-importances,,interpretability,https://github.com/parrt/random-forest-importances,https://github.com/parrt/random-forest-importances,MIT,2018-03-22 19:20:13.000000,2021-01-30 21:50:08.000000,2021-01-30 21:50:02.000000,92,4.0,27.0,416,249.0,Code to compute permutation and drop-column importances in Python scikit-learn models.,14.0,22,True,2021-01-28 23:23:17.000000,1.3.7,22.0,rfpimp,,,,['sklearn'],70.0,66.0,https://pypi.org/project/rfpimp,2021-01-28 23:19:33.000000,4.0,5589.0,5589.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n493,GeoViews,holoviz/geoviews,,geospatial-data,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000000,2020-11-13 20:59:34.000000,2020-09-21 16:31:16.000000,62,80.0,169.0,334,635.0,\"Simple, concise geographical visualization in Python.\",22.0,22,True,2020-09-23 18:59:07.000000,1.8.0,21.0,geoviews,conda-forge/geoviews,,,,229.0,209.0,https://pypi.org/project/geoviews,2020-03-30 19:17:21.000000,20.0,2177.0,3860.0,https://anaconda.org/conda-forge/geoviews,2020-09-23 20:06:48.808000,60598.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n494,Cornac,PreferredAI/cornac,,recommender-systems,https://github.com/PreferredAI/cornac,https://github.com/PreferredAI/cornac,Apache-2.0,2018-07-17 06:31:35.000000,2021-03-09 08:20:52.000000,2021-03-09 08:20:52.000000,57,2.0,31.0,308,1165.0,A Comparative Framework for Multimodal Recommender Systems.,11.0,22,True,2021-01-29 08:08:54.000000,1.11.0,36.0,cornac,conda-forge/cornac,,,,29.0,28.0,https://pypi.org/project/cornac,2021-01-29 08:06:15.000000,1.0,480.0,5671.0,https://anaconda.org/conda-forge/cornac,2021-01-29 10:40:32.008000,114208.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n495,vega,vega/ipyvega,,data-viz,https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000000,2021-03-02 09:29:20.000000,2021-03-02 09:26:55.000000,46,8.0,79.0,296,485.0,IPython/Jupyter notebook module for Vega and Vega-Lite.,9.0,22,True,2020-05-15 23:40:02.000000,3.4.0,37.0,vega,conda-forge/vega,,,['jupyter'],148.0,,https://pypi.org/project/vega,2020-05-15 23:40:02.000000,148.0,7344.0,14232.0,https://anaconda.org/conda-forge/vega,2020-12-10 15:03:57.175000,392663.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n496,pyvips,libvips/pyvips,,image,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000000,2021-02-24 09:49:23.000000,2021-02-24 09:49:23.000000,25,72.0,139.0,296,392.0,python binding for libvips using cffi.,10.0,22,True,2020-12-18 11:44:57.000000,2.1.14,20.0,pyvips,conda-forge/pyvips,,,,183.0,161.0,https://pypi.org/project/pyvips,2020-12-18 11:44:57.000000,22.0,3780.0,4165.0,https://anaconda.org/conda-forge/pyvips,2020-10-14 10:02:33.542000,7333.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n497,SUOD,yzhao062/SUOD,,others,https://github.com/yzhao062/SUOD,https://github.com/yzhao062/SUOD,BSD-2-Clause,2019-11-20 00:23:54.000000,2021-01-19 14:42:08.000000,2021-01-19 14:42:01.000000,29,3.0,2.0,242,134.0,(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection).,1.0,22,True,2021-01-15 02:12:04.000000,0.0.6,7.0,suod,,,,,282.0,282.0,https://pypi.org/project/suod,2021-01-15 02:12:04.000000,,20381.0,20381.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n498,TensorFlow Cloud,tensorflow/cloud,,tensorflow-utils,https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59.000000,2021-03-10 16:32:28.000000,2021-03-09 21:03:33.000000,47,47.0,25.0,229,519.0,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,17.0,22,True,2021-02-09 23:34:43.000000,0.1.13,16.0,tensorflow-cloud,,,,['tensorflow'],28.0,28.0,https://pypi.org/project/tensorflow-cloud,2021-02-09 23:34:43.000000,0.0,56663.0,56663.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n499,Orion,Epistimio/orion,,hyperopt,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21.000000,2021-03-03 14:18:37.000000,2021-02-25 01:41:32.000000,35,31.0,107.0,184,2470.0,Asynchronous Distributed Hyperparameter Optimization.,18.0,22,True,2021-01-19 22:46:16.000000,0.1.12,13.0,orion,,,,,48.0,40.0,https://pypi.org/project/orion,2021-01-19 22:46:16.000000,8.0,690.0,690.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n500,pyexcel-xlsx,pyexcel/pyexcel-xlsx,,data-loading,https://github.com/pyexcel/pyexcel-xlsx,https://github.com/pyexcel/pyexcel-xlsx,BSD-3-Clause,2014-12-02 00:03:24.000000,2020-11-28 22:30:58.000000,2020-11-28 22:30:53.000000,16,12.0,20.0,85,267.0,\"A wrapper library to read, manipulate and write data in xlsx and xlsm format using openpyxl.\",4.0,22,False,2020-10-10 13:13:32.000000,0.6.0,30.0,pyexcel-xlsx,conda-forge/pyexcel-xlsx,,,,1439.0,1129.0,https://pypi.org/project/pyexcel-xlsx,2020-10-10 13:13:32.000000,310.0,27810.0,28185.0,https://anaconda.org/conda-forge/pyexcel-xlsx,2020-10-10 15:53:49.660000,15387.0,,,,,3.0,46.0,,,,,,,,,,,,,,,,,,,,,\n501,openpyxl,,,data-loading,,https://openpyxl.readthedocs.io,MIT,2015-11-03 00:22:17.154000,2021-03-09 19:13:10.000000,,0,192.0,1447.0,17,,A Python library to read/write Excel 2010 xlsx/xlsm files.,,22,False,2021-01-14 19:15:29.000000,3.0.6,97.0,openpyxl,openpyxl,openpyxl/openpyxl-ci,https://openpyxl.readthedocs.io/en/stable/,,9770.0,,https://pypi.org/project/openpyxl,2021-03-09 19:13:10.000000,9770.0,4865380.0,4866095.0,https://anaconda.org/anaconda/openpyxl,2021-01-16 15:51:35.602000,44657.0,https://hub.docker.com/r/openpyxl/openpyxl-ci,2018-09-13 18:04:17.646261,,1180.0,3.0,,,,,,,,,0.0,,,,,,,,,,,,https://foss.heptapod.net/api/graphql::openpyxl/openpyxl,https://foss.heptapod.net/openpyxl/openpyxl\n502,Recommenders,microsoft/recommenders,,recommender-systems,https://github.com/microsoft/recommenders,https://github.com/microsoft/recommenders,MIT,2018-09-19 10:06:07.000000,2021-03-11 14:15:06.000000,2021-02-11 11:15:36.000000,1600,115.0,436.0,9314,6334.0,Best Practices on Recommendation Systems.,90.0,21,True,2021-02-04 14:08:48.000000,2021.2,7.0,,,,,,1.0,1.0,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n503,cortex,cortexlabs/cortex,,model-serialisation,https://github.com/cortexlabs/cortex,https://github.com/cortexlabs/cortex,Apache-2.0,2019-01-24 04:43:14.000000,2021-03-11 14:10:14.000000,2021-03-11 04:04:31.000000,562,175.0,749.0,7388,1927.0,Model serving at scale.,19.0,21,True,2021-03-03 00:30:07.000000,0.30.0,48.0,cortex,,,,,0.0,,https://pypi.org/project/cortex,2021-03-03 00:02:29.000000,0.0,799.0,799.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n504,mace,XiaoMi/mace,,ml-frameworks,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12.000000,2021-03-06 02:30:16.000000,2021-03-02 12:23:05.000000,758,42.0,589.0,4315,3124.0,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,56.0,21,True,2021-03-03 01:09:26.000000,1.0.3,10.0,,,,,,,,,,,,42.0,,,,,,,,3.0,1322.0,,,,,,,,,,,,,,,,,,,,,\n505,cuDF,rapidsai/cudf,,gpu-utilities,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000000,2021-03-11 15:07:53.000000,2021-03-11 15:03:10.000000,494,596.0,2863.0,3726,,cuDF - GPU DataFrame Library.,206.0,21,True,2021-02-24 18:09:03.000000,0.18.0,5.0,cudf,,,,,4.0,,https://pypi.org/project/cudf,2020-06-01 20:07:47.000000,4.0,384.0,384.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n506,DeepMatcher,anhaidgroup/deepmatcher,,nlp,https://github.com/anhaidgroup/deepmatcher,https://github.com/anhaidgroup/deepmatcher,BSD-3-Clause,2017-12-01 19:01:11.000000,2020-09-27 17:25:56.000000,2020-04-20 02:34:24.000000,1296,47.0,18.0,3480,169.0,Python package for performing Entity and Text Matching using Deep Learning.,7.0,21,True,2019-12-30 19:49:33.000000,0.1.1,9.0,deepmatcher,,,,,12.0,12.0,https://pypi.org/project/deepmatcher,2019-12-30 19:49:33.000000,,204.0,204.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n507,Image Deduplicator,idealo/imagededup,,image,https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54.000000,2020-12-21 13:30:38.000000,2020-11-23 17:40:40.000000,283,20.0,55.0,3416,460.0,Finding duplicate images made easy!.,9.0,21,True,2020-11-23 17:55:24.000000,0.2.4,9.0,imagededup,,,,['tensorflow'],12.0,10.0,https://pypi.org/project/imagededup,2020-11-22 21:09:36.000000,2.0,985.0,985.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n508,MatchZoo,NTMC-Community/MatchZoo,,nlp,https://github.com/NTMC-Community/MatchZoo,https://github.com/NTMC-Community/MatchZoo,Apache-2.0,2017-06-08 08:55:22.000000,2020-06-17 07:27:59.000000,2019-10-24 13:10:07.000000,877,27.0,428.0,3372,1808.0,\"Facilitating the design, comparison and sharing of deep text matching models.\",35.0,21,False,2019-10-24 13:09:11.000000,2.2.0,5.0,matchzoo,,,,['tensorflow'],10.0,10.0,https://pypi.org/project/matchzoo,2019-10-24 13:09:11.000000,,114.0,114.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n509,AdaNet,tensorflow/adanet,,hyperopt,https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24.000000,2020-07-09 21:03:28.000000,2020-07-09 20:51:04.000000,502,65.0,47.0,3247,439.0,Fast and flexible AutoML with learning guarantees.,26.0,21,True,2020-07-09 21:03:28.000000,0.9.0,13.0,adanet,,,,['tensorflow'],37.0,35.0,https://pypi.org/project/adanet,2020-07-09 21:03:28.000000,2.0,501.0,501.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n510,TensorTrade,tensortrade-org/tensortrade,,financial-data,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32.000000,2021-02-13 17:34:42.000000,2021-02-13 17:34:42.000000,687,21.0,142.0,3026,881.0,\"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.\",50.0,21,True,,,26.0,tensortrade,,,,,11.0,10.0,https://pypi.org/project/tensortrade,2020-12-20 18:30:31.000000,1.0,670.0,670.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n511,Image Super-Resolution,idealo/image-super-resolution,,image,https://github.com/idealo/image-super-resolution,https://github.com/idealo/image-super-resolution,Apache-2.0,2018-11-26 13:41:13.000000,2020-11-11 15:09:20.000000,2020-11-11 15:09:19.000000,490,59.0,101.0,2590,138.0,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,9.0,21,True,2020-01-08 15:37:35.000000,2.2.0,11.0,ISR,,idealo/image-super-resolution-gpu,,['tensorflow'],50.0,42.0,https://pypi.org/project/ISR,2020-01-08 15:37:35.000000,8.0,2002.0,2006.0,,,,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,,135.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n512,gpt-2-simple,minimaxir/gpt-2-simple,,nlp,https://github.com/minimaxir/gpt-2-simple,https://github.com/minimaxir/gpt-2-simple,MIT,2019-04-13 20:00:52.000000,2021-02-14 21:13:20.000000,2021-02-14 19:39:38.000000,535,141.0,92.0,2546,133.0,Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts.,17.0,21,True,2021-02-14 21:13:20.000000,0.7.2,16.0,gpt-2-simple,,,,['tensorflow'],6.0,,https://pypi.org/project/gpt-2-simple,2021-02-14 20:20:24.000000,6.0,5097.0,5105.0,,,,,,,,3.0,199.0,,,,,,,,,,,,,,,,,,,,,\n513,tensorflow-graphics,tensorflow/graphics,,image,https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44.000000,2021-03-11 14:22:50.000000,2021-03-10 03:06:52.000000,281,91.0,83.0,2421,636.0,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,32.0,21,True,2020-05-20 19:56:41.000000,2020.5.20,21.0,tensorflow-graphics,,,,['tensorflow'],3.0,,https://pypi.org/project/tensorflow-graphics,2020-05-20 19:56:41.000000,3.0,714.0,714.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n514,DeepVariant,google/deepvariant,,medical-data,https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000000,2021-03-03 23:04:33.000000,2021-03-03 23:00:30.000000,537,3.0,385.0,2213,1503.0,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,19.0,21,True,2020-12-07 17:56:31.000000,1.1.0,15.0,,bioconda/deepvariant,,,['tensorflow'],,,,,,,805.0,https://anaconda.org/bioconda/deepvariant,2020-09-05 07:25:11.429000,27585.0,,,,,3.0,3139.0,,,,,,,,,,,,,,,,,,,,,\n515,Texar,asyml/texar,,nlp,https://github.com/asyml/texar,https://github.com/asyml/texar,Apache-2.0,2017-07-22 19:02:05.000000,2020-09-17 07:03:55.000000,2020-07-29 00:38:30.000000,331,32.0,126.0,2117,1719.0,\"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the..\",41.0,21,True,2019-11-19 04:11:18.000000,0.2.4,6.0,texar,,,,['tensorflow'],14.0,12.0,https://pypi.org/project/texar,2019-11-19 04:11:18.000000,2.0,51.0,51.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n516,Mars,mars-project/mars,,others,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03.000000,2021-03-11 14:39:06.000000,2021-03-11 14:39:05.000000,242,116.0,670.0,2057,742.0,\"Mars is a tensor-based unified framework for large-scale data computation which scales Numpy, pandas, Scikit-learn and..\",18.0,21,True,2021-03-07 12:04:22.000000,0.6.6,76.0,pymars,,,,,4.0,4.0,https://pypi.org/project/pymars,2021-02-25 12:50:39.000000,0.0,655.0,655.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n517,PARL,PaddlePaddle/PARL,,reinforcement-learning,https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22.000000,2021-03-10 12:31:41.000000,2021-03-10 12:31:40.000000,441,47.0,158.0,1866,1.0,A high-performance distributed training framework for Reinforcement Learning.,21.0,21,True,2021-03-10 06:55:54.000000,1.4.3,18.0,parl,,,,['paddle'],69.0,69.0,https://pypi.org/project/parl,2021-03-10 06:55:54.000000,,216.0,216.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n518,m2cgen,BayesWitnesses/m2cgen,,model-serialisation,https://github.com/BayesWitnesses/m2cgen,https://github.com/BayesWitnesses/m2cgen,MIT,2019-01-13 02:32:55.000000,2021-03-02 05:04:18.000000,2020-10-07 17:33:12.000000,153,36.0,36.0,1767,227.0,\"Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart,..\",12.0,21,True,2020-09-18 19:17:26.000000,0.9.0,12.0,m2cgen,,,,,5.0,5.0,https://pypi.org/project/m2cgen,2020-09-18 19:16:17.000000,,5830.0,5830.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n519,cleanlab,cgnorthcutt/cleanlab,,others,https://github.com/cgnorthcutt/cleanlab,https://github.com/cgnorthcutt/cleanlab,GPL-3.0,2018-05-11 01:55:21.000000,2021-03-03 23:30:58.000000,2021-03-03 23:30:58.000000,162,17.0,35.0,1538,737.0,The standard package for machine learning with noisy labels and finding mislabeled data in Python.,5.0,21,False,2020-02-17 07:33:06.000000,0.1.1,15.0,cleanlab,,,,,10.0,10.0,https://pypi.org/project/cleanlab,2020-02-17 07:33:06.000000,,1980.0,1980.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n520,auto_ml,ClimbsRocks/auto_ml,,hyperopt,https://github.com/ClimbsRocks/auto_ml,https://github.com/ClimbsRocks/auto_ml,MIT,2016-08-07 21:35:08.000000,2021-02-10 07:52:35.000000,2018-03-25 19:46:25.000000,293,185.0,215.0,1527,1149.0,[UNMAINTAINED] Automated machine learning for analytics & production.,13.0,21,False,2018-02-22 01:13:03.000000,2.9.10,78.0,auto_ml,,,,,2.0,,https://pypi.org/project/auto_ml,2018-02-22 01:13:03.000000,2.0,1461.0,1461.0,,,,,,,,3.0,33.0,,,,,,,,,,,,,,,,,,,,,\n521,lore,instacart/lore,,ml-experiments,https://github.com/instacart/lore,https://github.com/instacart/lore,MIT,2017-10-19 21:51:45.000000,2021-02-22 18:13:04.000000,2020-05-11 22:26:45.000000,118,16.0,18.0,1514,270.0,Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers.,22.0,21,True,2020-05-11 22:28:23.000000,0.8.4,231.0,lore,,,,,17.0,16.0,https://pypi.org/project/lore,2020-05-11 22:28:23.000000,1.0,572.0,572.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n522,Neural Tangents,google/neural-tangents,,ml-frameworks,https://github.com/google/neural-tangents,https://github.com/google/neural-tangents,Apache-2.0,2019-04-08 16:48:48.000000,2021-03-08 21:24:02.000000,2021-03-08 21:24:02.000000,148,28.0,54.0,1347,368.0,Fast and Easy Infinite Neural Networks in Python.,18.0,21,True,2021-01-25 23:20:02.000000,0.3.6,20.0,neural-tangents,,,,,14.0,14.0,https://pypi.org/project/neural-tangents,2021-01-25 23:06:16.000000,0.0,172.0,184.0,,,,,,,,3.0,112.0,,,,,,,,,,,,,,,,,,,,,\n523,NiftyNet,NifTK/NiftyNet,,medical-data,https://github.com/NifTK/NiftyNet,https://github.com/NifTK/NiftyNet,Apache-2.0,2017-08-30 07:55:43.000000,2020-04-21 19:54:52.000000,2020-04-21 19:54:51.000000,385,102.0,224.0,1276,2848.0,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,58.0,21,True,2019-10-10 10:59:33.000000,0.6.0,11.0,niftynet,,,,['tensorflow'],34.0,33.0,https://pypi.org/project/niftynet,2019-10-10 10:59:33.000000,1.0,97.0,97.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n524,Torchmeta,tristandeleu/pytorch-meta,,pytorch-utils,https://github.com/tristandeleu/pytorch-meta,https://github.com/tristandeleu/pytorch-meta,MIT,2018-12-04 23:36:45.000000,2021-02-25 13:32:40.000000,2020-11-25 16:41:48.000000,147,27.0,71.0,1231,341.0,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.,10.0,21,True,2020-11-25 16:45:01.000000,1.6.1,26.0,torchmeta,,,,['pytorch'],31.0,31.0,https://pypi.org/project/torchmeta,2020-11-25 16:45:01.000000,,308.0,308.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n525,Classy Vision,facebookresearch/ClassyVision,,image,https://github.com/facebookresearch/ClassyVision,https://github.com/facebookresearch/ClassyVision,MIT,2019-09-13 22:54:44.000000,2021-03-03 14:50:01.000000,2021-03-03 03:32:30.000000,208,48.0,47.0,1177,342.0,An end-to-end PyTorch framework for image and video classification.,59.0,21,True,2020-11-20 21:02:29.000000,0.5.0,15.0,classy_vision,conda-forge/classy_vision,,,['pytorch'],0.0,,https://pypi.org/project/classy_vision,2020-11-20 21:02:29.000000,0.0,114.0,562.0,https://anaconda.org/conda-forge/classy_vision,2020-12-11 20:08:25.437000,6283.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n526,Karate Club,benedekrozemberczki/karateclub,,graph,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56.000000,2021-02-27 21:30:28.000000,2021-02-27 21:30:20.000000,142,,47.0,1176,2118.0,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,11.0,21,False,2021-01-25 18:14:21.000000,_10023,96.0,karateclub,,,,,28.0,28.0,https://pypi.org/project/karateclub,2021-01-25 18:11:58.000000,0.0,2660.0,2660.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n527,datatable,h2oai/datatable,,data-containers,https://github.com/h2oai/datatable,https://github.com/h2oai/datatable,MPL-2.0,2017-03-03 02:32:59.000000,2021-03-11 00:58:13.000000,2021-03-10 22:09:22.000000,96,125.0,1115.0,1159,,A Python package for manipulating 2-dimensional tabular data structures.,28.0,21,True,2020-12-10 09:10:50.000000,0.11.1,15.0,datatable,,,,,6.0,,https://pypi.org/project/datatable,2020-12-10 08:04:03.000000,6.0,11656.0,11678.0,,,,,,,,3.0,946.0,,,,,,,,,,,,,,,,,,,,,\n528,Torch Points 3D,nicolas-chaulet/torch-points3d,,image,https://github.com/nicolas-chaulet/torch-points3d,https://github.com/nicolas-chaulet/torch-points3d,BSD-3-Clause,2019-12-06 11:33:34.000000,2021-03-09 08:33:02.000000,2021-03-09 08:23:27.000000,162,51.0,163.0,1119,1590.0,Pytorch framework for doing deep learning on point clouds.,20.0,21,True,2020-12-18 10:34:16.000000,1.2.0,13.0,torch-points3d,,,,['pytorch'],2.0,2.0,https://pypi.org/project/torch-points3d,2020-12-18 10:34:16.000000,,230.0,230.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n529,tensorly,tensorly/tensorly,,others,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52.000000,2021-03-11 15:09:00.000000,2021-03-11 15:08:43.000000,191,27.0,98.0,973,,TensorLy: Tensor Learning in Python.,42.0,21,True,2020-12-07 20:30:41.000000,0.5.1,16.0,tensorly,conda-forge/tensorly,,,,20.0,,https://pypi.org/project/tensorly,2020-12-07 20:30:41.000000,20.0,2008.0,5516.0,https://anaconda.org/conda-forge/tensorly,2020-12-07 22:44:30.386000,119293.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n530,mljar-supervised,mljar/mljar-supervised,,hyperopt,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000000,2021-03-11 12:40:27.000000,2021-03-04 12:16:16.000000,120,50.0,251.0,947,805.0,Automates Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning.,7.0,21,True,2021-03-02 16:47:09.000000,0.9.1,66.0,mljar-supervised,,,,,10.0,10.0,https://pypi.org/project/mljar-supervised,2021-03-02 09:50:08.000000,,1777.0,1777.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n531,FairScale,facebookresearch/fairscale,,distributed-ml,https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000000,2021-03-11 03:21:49.000000,2021-03-10 05:01:17.000000,66,35.0,98.0,854,334.0,PyTorch extensions for high performance and large scale training.,24.0,21,True,2021-02-23 06:57:14.000000,0.3.0,13.0,fairscale,,,,['pytorch'],6.0,6.0,https://pypi.org/project/fairscale,2021-03-09 18:44:29.000000,0.0,4615.0,4615.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n532,attention-ocr,emedvedev/attention-ocr,,ocr,https://github.com/emedvedev/attention-ocr,https://github.com/emedvedev/attention-ocr,MIT,2017-07-21 18:35:19.000000,2021-02-23 04:33:25.000000,2020-10-31 19:40:19.000000,229,18.0,126.0,843,196.0,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,27.0,21,True,2020-10-12 06:56:40.000000,0.7.6,21.0,aocr,,,,['tensorflow'],15.0,15.0,https://pypi.org/project/aocr,2019-04-19 05:28:27.000000,,146.0,146.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n533,Neural Structured Learning,tensorflow/neural-structured-learning,,tensorflow-utils,https://github.com/tensorflow/neural-structured-learning,https://github.com/tensorflow/neural-structured-learning,Apache-2.0,2019-08-27 21:48:16.000000,2021-03-09 16:40:19.000000,2021-03-09 16:40:15.000000,141,3.0,40.0,790,382.0,Training neural models with structured signals.,27.0,21,True,2020-08-18 00:35:35.000000,1.3.1,7.0,neural-structured-learning,,,,['tensorflow'],41.0,41.0,https://pypi.org/project/neural-structured-learning,2020-08-18 00:35:35.000000,0.0,1592.0,1592.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n534,Explainability 360,Trusted-AI/AIX360,,interpretability,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48.000000,2020-12-04 16:51:14.000000,2020-12-04 16:49:39.000000,168,26.0,19.0,784,305.0,Interpretability and explainability of data and machine learning models.,27.0,21,True,2020-10-28 09:32:21.000000,0.2.1,4.0,aix360,,,,,14.0,13.0,https://pypi.org/project/aix360,2020-10-28 09:18:17.000000,1.0,470.0,470.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n535,iNNvestigate,albermax/innvestigate,,interpretability,https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20.000000,2020-12-30 15:22:24.000000,2020-10-16 15:26:56.000000,172,75.0,129.0,778,882.0,A toolbox to iNNvestigate neural networks' predictions!.,18.0,21,True,2020-11-14 11:35:59.000000,1.0.9,2.0,innvestigate,,,,['tensorflow'],52.0,51.0,https://pypi.org/project/innvestigate,2020-11-14 11:35:59.000000,1.0,288.0,288.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n536,tf-explain,sicara/tf-explain,,interpretability,https://github.com/sicara/tf-explain,https://github.com/sicara/tf-explain,MIT,2019-07-15 08:26:24.000000,2021-03-02 11:04:28.000000,2021-02-04 18:16:59.000000,73,33.0,45.0,775,197.0,Interpretability Methods for tf.keras models with Tensorflow 2.x.,13.0,21,True,2021-02-16 18:59:38.000000,0.3.0,7.0,tf-explain,,,,['tensorflow'],66.0,64.0,https://pypi.org/project/tf-explain,2021-02-16 18:59:38.000000,2.0,694.0,694.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n537,Madmom,CPJKU/madmom,,audio,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06.000000,2020-04-14 03:42:18.000000,2019-12-19 14:46:37.000000,122,54.0,178.0,727,1722.0,Python audio and music signal processing library.,19.0,21,False,2018-11-14 14:57:41.000000,0.16.1,11.0,madmom,,,,,152.0,118.0,https://pypi.org/project/madmom,2018-11-14 14:56:22.000000,34.0,1219.0,1219.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n538,kapre,keunwoochoi/kapre,,audio,https://github.com/keunwoochoi/kapre,https://github.com/keunwoochoi/kapre,MIT,2016-12-14 18:36:36.000000,2021-02-22 13:28:35.000000,2020-11-16 17:11:54.000000,129,5.0,80.0,718,188.0,kapre: Keras Audio Preprocessors.,13.0,21,True,2020-09-29 18:49:13.000000,0.3.4,21.0,kapre,,,,['tensorflow'],563.0,552.0,https://pypi.org/project/kapre,2020-09-29 18:49:13.000000,11.0,870.0,870.0,,,,,,,,3.0,8.0,,,,,,,,,,,,,,,,,,,,,\n539,fairlearn,fairlearn/fairlearn,,interpretability,https://github.com/fairlearn/fairlearn,https://github.com/fairlearn/fairlearn,MIT,2018-05-15 01:51:35.000000,2021-03-11 13:43:57.000000,2021-03-11 13:43:56.000000,168,76.0,112.0,708,556.0,A Python package to assess and improve fairness of machine learning models.,30.0,21,True,2021-02-06 23:47:07.000000,0.6.0,13.0,fairlearn,conda-forge/fairlearn,,,['sklearn'],2.0,,https://pypi.org/project/fairlearn,2021-02-04 12:58:01.000000,2.0,4336.0,5123.0,https://anaconda.org/conda-forge/fairlearn,2021-02-03 19:59:47.855000,10236.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n540,torch-scatter,rusty1s/pytorch_scatter,,pytorch-utils,https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23.000000,2021-03-06 06:18:25.000000,2021-03-06 06:18:20.000000,73,62.0,113.0,614,824.0,PyTorch Extension Library of Optimized Scatter Operations.,15.0,21,True,2021-03-02 14:52:22.000000,2.0.6,26.0,torch-scatter,,,,['pytorch'],32.0,,https://pypi.org/project/torch-scatter,2021-03-03 06:21:28.000000,32.0,5859.0,5859.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n541,Mapbox GL,mapbox/mapboxgl-jupyter,,geospatial-data,https://github.com/mapbox/mapboxgl-jupyter,https://github.com/mapbox/mapboxgl-jupyter,MIT,2017-08-08 15:10:51.000000,2021-03-02 19:26:30.000000,2019-12-03 21:57:25.000000,121,35.0,67.0,560,220.0,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,20.0,21,False,2019-06-03 21:24:10.000000,0.10.2,20.0,mapboxgl,,,,['jupyter'],109.0,91.0,https://pypi.org/project/mapboxgl,2019-06-02 15:18:57.000000,18.0,3170.0,3170.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n542,Guild AI,guildai/guildai,,ml-experiments,https://github.com/guildai/guildai,https://github.com/guildai/guildai,Apache-2.0,2017-09-27 18:57:50.000000,2021-03-08 20:39:21.000000,2021-03-08 20:39:13.000000,41,101.0,154.0,552,4466.0,\"Experiment tracking, ML developer tools.\",16.0,21,True,2021-01-14 21:03:23.000000,0.7.2,165.0,guildai,,,,,26.0,26.0,https://pypi.org/project/guildai,2021-02-24 01:36:05.000000,,1059.0,1059.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n543,pickleDB,patx/pickledb,,data-containers,https://github.com/patx/pickledb,https://github.com/patx/pickledb,BSD-3-Clause,2011-10-28 00:04:40.000000,2020-08-25 09:47:52.000000,2019-11-15 03:38:30.000000,93,22.0,39.0,546,105.0,pickleDB is an open source key-value store using Python's json module.,11.0,21,False,2019-01-14 18:48:25.000000,0.9.2,20.0,pickledb,,,,,631.0,519.0,https://pypi.org/project/pickledb,2019-01-14 18:48:25.000000,112.0,11321.0,11321.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n544,HpBandSter,automl/HpBandSter,,hyperopt,https://github.com/automl/HpBandSter,https://github.com/automl/HpBandSter,BSD-3-Clause,2017-12-17 20:28:20.000000,2021-01-31 10:05:37.000000,2019-03-26 09:26:28.000000,97,57.0,35.0,455,187.0,a distributed Hyperband implementation on Steroids.,11.0,21,False,2019-07-30 12:47:43.000000,1.0,8.0,hpbandster,,,,,145.0,129.0,https://pypi.org/project/hpbandster,2018-11-06 12:56:55.000000,16.0,8211.0,8211.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n545,Neuraxle,Neuraxio/Neuraxle,,hyperopt,https://github.com/Neuraxio/Neuraxle,https://github.com/Neuraxio/Neuraxle,Apache-2.0,2019-03-26 21:01:54.000000,2021-03-04 00:18:55.000000,2021-02-25 16:08:50.000000,40,130.0,143.0,375,1406.0,A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right..,7.0,21,True,2021-02-25 16:05:06.000000,0.5.7,20.0,neuraxle,,,,,17.0,17.0,https://pypi.org/project/neuraxle,2021-02-25 16:00:44.000000,0.0,186.0,186.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n546,Studio.ml,studioml/studio,,ml-experiments,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28.000000,2021-02-24 02:17:15.000000,2021-02-24 02:13:01.000000,50,56.0,189.0,371,2337.0,Studio: Simplify and expedite model building process.,21.0,21,True,2021-02-24 00:53:47.000000,0.0.42,189.0,studioml,,,,,4.0,4.0,https://pypi.org/project/studioml,2021-02-24 02:17:15.000000,,634.0,634.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n547,pydlm,wwrechard/pydlm,,time-series-data,https://github.com/wwrechard/pydlm,https://github.com/wwrechard/pydlm,BSD-3-Clause,2016-06-29 07:58:53.000000,2021-02-24 14:21:28.000000,2019-10-22 07:18:40.000000,84,35.0,7.0,367,362.0,A python library for Bayesian time series modeling.,6.0,21,False,2016-11-06 01:43:35.000000,0.1.1,13.0,pydlm,,,,,18.0,16.0,https://pypi.org/project/pydlm,2018-12-19 10:27:54.000000,2.0,12070.0,12070.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n548,aequitas,dssg/aequitas,,interpretability,https://github.com/dssg/aequitas,https://github.com/dssg/aequitas,MIT,2018-02-13 19:40:30.000000,2021-03-11 11:55:10.000000,2021-02-23 13:51:06.000000,66,33.0,21.0,364,856.0,Bias and Fairness Audit Toolkit.,16.0,21,True,2020-12-16 11:48:14.000000,0.42.0,16.0,aequitas,,,,,71.0,68.0,https://pypi.org/project/aequitas,2020-12-16 11:48:14.000000,3.0,265.0,265.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n549,PyTorch Sparse,rusty1s/pytorch_sparse,,pytorch-utils,https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53.000000,2021-03-06 06:13:34.000000,2021-03-06 06:13:28.000000,45,38.0,54.0,362,522.0,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,12.0,21,True,2021-03-03 15:26:45.000000,0.6.9,21.0,torch-sparse,,,,['pytorch'],34.0,,https://pypi.org/project/torch-sparse,2020-11-02 10:43:20.000000,34.0,3925.0,3925.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n550,Pandas Summary,mouradmourafiq/pandas-summary,,data-containers,https://github.com/mouradmourafiq/pandas-summary,https://github.com/mouradmourafiq/pandas-summary,MIT,2016-03-25 21:59:32.000000,2019-08-24 21:10:25.000000,2019-08-24 21:10:24.000000,36,8.0,5.0,361,24.0,An extension to pandas dataframes describe function.,6.0,21,False,2016-08-30 07:54:59.000000,0.0.41,8.0,pandas-summary,,,,['pandas'],664.0,574.0,https://pypi.org/project/pandas-summary,2016-08-30 07:54:59.000000,90.0,16186.0,16186.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n551,SDV,sdv-dev/SDV,,data-loading,https://github.com/sdv-dev/SDV,https://github.com/sdv-dev/SDV,MIT,2018-05-11 15:56:50.000000,2021-03-11 07:43:50.000000,2021-03-10 04:46:43.000000,66,52.0,145.0,356,796.0,\"Synthetic Data Generation for tabular, relational and time series data.\",33.0,21,True,2021-02-24 22:16:26.000000,0.8.0,42.0,sdv,,,,,17.0,17.0,https://pypi.org/project/sdv,2021-02-24 22:15:34.000000,0.0,1012.0,1012.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n552,torch-cluster,rusty1s/pytorch_cluster,,graph,https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06.000000,2021-03-06 06:14:10.000000,2021-03-06 06:14:04.000000,71,36.0,39.0,343,521.0,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,18.0,21,True,2021-03-01 13:58:47.000000,1.5.9,39.0,torch-cluster,,,,['pytorch'],32.0,,https://pypi.org/project/torch-cluster,2021-03-01 12:28:43.000000,32.0,3207.0,3207.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n553,Submit it,facebookincubator/submitit,,distributed-ml,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09.000000,2021-03-02 12:37:05.000000,2021-02-10 11:19:06.000000,21,10.0,19.0,311,54.0,Python 3.6+ toolbox for submitting jobs to Slurm.,9.0,21,True,2021-02-10 11:17:48.000000,1.2.1,10.0,submitit,conda-forge/submitit,,,,99.0,99.0,https://pypi.org/project/submitit,2021-02-10 11:17:48.000000,0.0,1913.0,2139.0,https://anaconda.org/conda-forge/submitit,2021-02-10 12:48:57.745000,1582.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n554,datatest,shawnbrown/datatest,,data-loading,https://github.com/shawnbrown/datatest,https://github.com/shawnbrown/datatest,Apache-2.0,2016-05-12 13:16:27.000000,2021-03-01 04:34:10.000000,2021-03-01 04:32:51.000000,12,9.0,42.0,238,2158.0,Tools for test driven data-wrangling and data validation.,6.0,21,True,2021-01-04 03:43:58.000000,0.11.1,17.0,datatest,,,,,32.0,30.0,https://pypi.org/project/datatest,2021-01-04 03:39:40.000000,2.0,1862.0,1862.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n555,StaticFrame,InvestmentSystems/static-frame,,data-containers,https://github.com/InvestmentSystems/static-frame,https://github.com/InvestmentSystems/static-frame,MIT,2018-01-03 15:07:52.000000,2021-03-11 00:51:45.000000,2021-03-11 00:51:37.000000,21,26.0,261.0,217,2413.0,Immutable and grow-only Pandas-like DataFrames with a more explicit and consistent interface.,15.0,21,True,2021-02-28 20:23:28.000000,0.8.2,101.0,static-frame,conda-forge/static-frame,,,,6.0,6.0,https://pypi.org/project/static-frame,2021-02-28 20:22:09.000000,0.0,605.0,3375.0,https://anaconda.org/conda-forge/static-frame,2021-02-28 23:08:47.808000,69270.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n556,quinn,MrPowers/quinn,,ml-experiments,https://github.com/MrPowers/quinn,https://github.com/MrPowers/quinn,Apache-2.0,2017-09-15 13:02:42.000000,2021-02-09 04:48:14.000000,2021-02-09 04:48:07.000000,27,17.0,9.0,216,110.0,pyspark methods to enhance developer productivity.,6.0,21,True,2021-02-06 15:21:04.000000,0.9.0,12.0,quinn,,,,['spark'],6.0,,https://pypi.org/project/quinn,2021-02-06 15:21:04.000000,6.0,74858.0,74858.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n557,py3nvml,fbcotter/py3nvml,,gpu-utilities,https://github.com/fbcotter/py3nvml,https://github.com/fbcotter/py3nvml,BSD-3-Clause,2016-11-21 01:07:37.000000,2020-10-10 10:41:08.987000,2020-04-23 06:54:42.000000,24,2.0,9.0,167,79.0,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,6.0,21,True,2020-04-06 16:02:10.000000,0.2.6,13.0,py3nvml,conda-forge/py3nvml,,,,256.0,236.0,https://pypi.org/project/py3nvml,2020-04-06 16:02:10.000000,20.0,45798.0,46752.0,https://anaconda.org/conda-forge/py3nvml,2020-10-10 10:41:08.987000,13358.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n558,stop-words,Alir3z4/python-stop-words,,nlp,https://github.com/Alir3z4/python-stop-words,https://github.com/Alir3z4/python-stop-words,BSD-3-Clause,2014-05-26 06:44:03.000000,2019-10-16 15:01:43.000000,2018-07-23 21:04:09.000000,21,3.0,9.0,122,90.0,Get list of common stop words in various languages in Python.,8.0,21,False,2018-07-23 20:58:34.000000,2018.7.23,8.0,stop-words,,,,,1379.0,1121.0,https://pypi.org/project/stop-words,2018-07-23 20:55:55.000000,258.0,33735.0,33735.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n559,PyStan,stan-dev/pystan,,probabilistics,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,ISC,2017-03-06 19:56:42.094000,2021-03-07 12:17:03.000000,2021-03-06 21:13:01.000000,13,10.0,92.0,42,,\"PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io.\",5.0,21,False,2013-09-28 22:06:09.000000,0.2.2,57.0,pystan,conda-forge/pystan,,,,342.0,,https://pypi.org/project/pystan,2021-02-10 14:31:04.000000,342.0,510381.0,529214.0,https://anaconda.org/conda-forge/pystan,2020-08-25 22:40:14.631000,904014.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n560,Dejavu,worldveil/dejavu,,audio,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35.000000,2020-10-29 17:40:17.000000,2020-06-03 05:58:03.000000,1250,84.0,129.0,5349,146.0,Audio fingerprinting and recognition in Python.,23.0,20,True,2015-04-19 21:20:16.000000,0.1.3,4.0,PyDejavu,,,,,20.0,17.0,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16.000000,3.0,44.0,44.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n561,MMF,facebookresearch/mmf,,image,https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40.000000,2021-03-11 11:42:00.000000,2021-03-11 11:41:54.000000,630,113.0,336.0,4197,804.0,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,56.0,20,True,2019-08-26 19:04:21.000000,0.3.1,12.0,mmf,,,,['pytorch'],7.0,7.0,https://pypi.org/project/mmf,2020-06-12 22:15:02.000000,0.0,110.0,110.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n562,TTS,mozilla/TTS,,audio,https://github.com/mozilla/TTS,https://github.com/mozilla/TTS,MPL-2.0,2018-01-23 14:22:06.000000,2021-02-22 11:26:54.000000,2021-02-12 10:36:31.000000,706,30.0,444.0,3306,2184.0,Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts).,55.0,20,True,2021-01-29 00:03:56.000000,0.0.9,1.0,,,,,,,,,,,,105.0,,,,,,,,3.0,210.0,,,,,,,,,,,,,,,,,,,,,\n563,DALI,NVIDIA/DALI,,gpu-utilities,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000000,2021-03-11 14:56:56.000000,2021-03-11 07:01:23.000000,377,207.0,631.0,3129,1765.0,A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep..,56.0,20,True,2021-02-25 14:29:29.000000,0.31.0,37.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n564,FATE,FederatedAI/FATE,,privacy-ml,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000000,2021-03-11 11:57:33.000000,2021-03-10 02:40:50.000000,840,283.0,527.0,2823,7020.0,An Industrial Grade Federated Learning Framework.,52.0,20,True,2021-02-10 09:13:39.000000,1.5.1,25.0,,,,,,,,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n565,dpark,douban/dpark,,data-pipelines,https://github.com/douban/dpark,https://github.com/douban/dpark,BSD-3-Clause,2012-04-11 08:35:06.000000,2020-12-25 10:36:06.000000,2020-12-25 10:36:05.000000,554,,60.0,2649,1467.0,\"Python clone of Spark, a MapReduce alike framework in Python.\",35.0,20,True,2018-07-27 04:11:36.000000,0.5.0,19.0,dpark,,,,['spark'],4.0,3.0,https://pypi.org/project/dpark,2018-07-27 04:11:36.000000,1.0,27.0,27.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n566,NLP Architect,IntelLabs/nlp-architect,,nlp,https://github.com/IntelLabs/nlp-architect,https://github.com/IntelLabs/nlp-architect,Apache-2.0,2018-05-17 21:00:13.000000,2021-03-10 16:07:55.000000,2021-03-10 16:07:14.000000,394,16.0,104.0,2608,950.0,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,36.0,20,True,2020-11-17 12:32:37.000000,0.5.5.1,13.0,nlp-architect,,,,,7.0,7.0,https://pypi.org/project/nlp-architect,2020-04-12 11:34:38.000000,,125.0,125.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n567,image-match,EdjoLabs/image-match,,image,https://github.com/EdjoLabs/image-match,https://github.com/EdjoLabs/image-match,Apache-2.0,2016-03-08 18:16:45.000000,2021-01-04 18:36:01.000000,2021-01-04 18:35:59.000000,371,54.0,47.0,2526,404.0,Quickly search over billions of images.,17.0,20,True,2017-02-13 14:54:48.000000,1.1.2,10.0,image_match,,,,,6.0,,https://pypi.org/project/image_match,2017-02-13 14:54:48.000000,6.0,312.0,312.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n568,finmarketpy,cuemacro/finmarketpy,,financial-data,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03.000000,2021-03-01 22:54:43.000000,2021-03-01 22:54:35.000000,431,21.0,3.0,2495,657.0,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,14.0,20,True,2021-01-25 15:04:53.000000,0.11.8,9.0,finmarketpy,,,,,3.0,3.0,https://pypi.org/project/finmarketpy,2021-01-25 15:01:25.000000,,51.0,51.0,,,,,,,,3.0,39.0,,,,,,,,,,,,,,,,,,,,,\n569,StreamAlert,airbnb/streamalert,,others,https://github.com/airbnb/streamalert,https://github.com/airbnb/streamalert,Apache-2.0,2017-01-22 01:10:56.000000,2021-02-10 19:36:07.000000,2021-02-10 05:03:05.000000,285,90.0,247.0,2485,1893.0,\"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data..\",31.0,20,True,2020-10-05 21:50:56.000000,3.4.1,27.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n570,NeMo,NVIDIA/NeMo,,nlp,https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000000,2021-03-11 07:43:37.000000,2021-03-11 06:12:45.000000,426,199.0,286.0,2464,,NeMo: a toolkit for conversational AI.,80.0,20,True,2020-07-10 00:01:18.000000,0.11.0,36.0,nemo-toolkit,,,,['pytorch'],4.0,,https://pypi.org/project/nemo-toolkit,2020-12-11 21:33:53.000000,4.0,1292.0,1500.0,,,,,,,,3.0,3750.0,,,,,,,,,,,,,,,,,,,,,\n571,Luminoth,tryolabs/luminoth,,image,https://github.com/tryolabs/luminoth,https://github.com/tryolabs/luminoth,BSD-3-Clause,2017-02-16 15:07:46.000000,2020-12-24 21:01:24.000000,2020-01-07 20:53:25.000000,402,50.0,127.0,2352,838.0,Deep Learning toolkit for Computer Vision.,15.0,20,False,2018-11-09 21:35:17.000000,0.2.3,10.0,luminoth,,,,['tensorflow'],30.0,28.0,https://pypi.org/project/luminoth,2018-11-09 21:35:17.000000,2.0,353.0,628.0,,,,,,,,3.0,11293.0,,,,,,,,,,,,,,,,,,,,,\n572,Hummingbird,microsoft/hummingbird,,model-serialisation,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000000,2021-03-11 00:40:11.000000,2021-03-10 17:42:22.000000,167,50.0,138.0,2312,,Hummingbird compiles trained ML models into tensor computation for faster inference.,19.0,20,True,2021-03-09 22:24:11.000000,0.2.2,10.0,hummingbird-ml,,,,,14.0,14.0,https://pypi.org/project/hummingbird-ml,2021-03-09 22:24:11.000000,,876.0,885.0,,,,,,,,3.0,95.0,,,,,,,,,,,,,,,,,,,,,\n573,STUMPY,TDAmeritrade/stumpy,,time-series-data,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000000,2021-03-10 23:56:20.000000,2021-03-07 01:57:01.000000,159,26.0,195.0,1716,,\"STUMPY is a powerful and scalable Python library for computing a Matrix Profile, which can be used for a variety of..\",21.0,20,True,2021-02-04 19:05:43.000000,1.8.0,19.0,stumpy,conda-forge/stumpy,,,,0.0,,https://pypi.org/project/stumpy,2021-02-04 19:05:43.000000,0.0,6022.0,6809.0,https://anaconda.org/conda-forge/stumpy,2021-02-05 23:28:08.904000,17324.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n574,AmpliGraph,Accenture/AmpliGraph,,graph,https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05.000000,2020-08-25 17:19:24.000000,2020-08-25 17:00:58.000000,160,20.0,158.0,1440,895.0,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,14.0,20,True,2020-08-25 17:06:46.000000,1.3.2,11.0,ampligraph,,,,['tensorflow'],12.0,12.0,https://pypi.org/project/ampligraph,2020-08-25 16:59:58.000000,,390.0,390.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n575,hiddenlayer,waleedka/hiddenlayer,,ml-experiments,https://github.com/waleedka/hiddenlayer,https://github.com/waleedka/hiddenlayer,MIT,2018-05-18 22:34:51.000000,2020-04-24 07:32:11.000000,2020-04-24 06:58:09.000000,196,44.0,33.0,1404,58.0,\"Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.\",6.0,20,True,2018-12-03 04:33:29.000000,0.2,3.0,hiddenlayer,,,,\"['pytorch', 'tensorflow', 'jupyter']\",69.0,61.0,https://pypi.org/project/hiddenlayer,2020-04-24 07:32:11.000000,8.0,1543.0,1543.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n576,reformer-pytorch,lucidrains/reformer-pytorch,,pytorch-utils,https://github.com/lucidrains/reformer-pytorch,https://github.com/lucidrains/reformer-pytorch,MIT,2020-01-09 20:42:37.000000,2021-03-08 14:51:57.000000,2021-03-08 14:51:06.000000,175,4.0,97.0,1400,240.0,\"Reformer, the efficient Transformer, in Pytorch.\",10.0,20,True,2021-03-08 14:51:30.000000,1.2.6,134.0,reformer-pytorch,,,,['pytorch'],,,https://pypi.org/project/reformer-pytorch,2021-03-08 14:51:57.000000,,387.0,387.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n577,DELTA,Delta-ML/delta,,nlp,https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57.000000,2021-03-10 17:40:54.786659,2020-12-17 06:57:15.000000,280,9.0,69.0,1397,932.0,DELTA is a deep learning based natural language and speech processing platform.,41.0,20,True,2020-07-16 09:31:45.000000,0.3.3,4.0,delta-nlp,,zh794390558/delta,,['tensorflow'],,,https://pypi.org/project/delta-nlp,2020-03-27 04:46:19.000000,,4.0,553.0,,,,https://hub.docker.com/r/zh794390558/delta,2021-03-10 17:40:54.786659,,12093.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n578,Sweetviz,fbdesignpro/sweetviz,,data-viz,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47.000000,2021-02-26 17:36:34.000000,2021-02-26 17:31:53.000000,149,20.0,54.0,1374,94.0,\"Visualize and compare datasets, target values and associations, with one line of code.\",6.0,20,True,2021-02-26 17:36:35.000000,2.0.9,26.0,sweetviz,,,,,0.0,,https://pypi.org/project/sweetviz,2021-02-23 15:37:25.000000,0.0,6647.0,6647.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n579,TensorFlow Privacy,tensorflow/privacy,,privacy-ml,https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000000,2021-03-05 19:02:46.000000,2021-02-23 00:01:24.000000,269,44.0,76.0,1356,444.0,Library for training machine learning models with privacy for training data.,36.0,20,True,2020-09-03 01:13:47.000000,.0.5.1,9.0,tensorflow-privacy,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow-privacy,2020-09-03 01:10:15.000000,2.0,3711.0,3713.0,,,,,,,,2.0,41.0,,,,,,,,,,,,,,,,,,,,,\n580,ThunderSVM,Xtra-Computing/thundersvm,,ml-frameworks,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04.000000,2021-02-10 05:12:44.000000,2021-02-10 05:12:44.000000,169,44.0,144.0,1278,902.0,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,33.0,20,True,2020-03-13 12:36:30.000000,0.3.12,9.0,thundersvm,,,,,,,https://pypi.org/project/thundersvm,2020-03-13 12:36:30.000000,,246.0,287.0,,,,,,,,3.0,2152.0,,,,,,,,,,,,,,,,,,,,,\n581,EfficientNets,rwightman/gen-efficientnet-pytorch,,pytorch-utils,https://github.com/rwightman/gen-efficientnet-pytorch,https://github.com/rwightman/gen-efficientnet-pytorch,Apache-2.0,2019-05-11 19:35:56.000000,2020-11-30 05:51:08.000000,2020-11-30 05:49:27.000000,168,,48.0,1262,106.0,\"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.\",5.0,20,True,2020-08-20 19:55:21.000000,1.0.0,9.0,geffnet,,,,['pytorch'],37.0,37.0,https://pypi.org/project/geffnet,2020-08-20 19:55:21.000000,0.0,1260.0,1260.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n582,DLTK,DLTK/DLTK,,medical-data,https://github.com/DLTK/DLTK,https://github.com/DLTK/DLTK,Apache-2.0,2017-05-02 15:40:36.000000,2021-01-15 01:31:30.000000,2019-01-21 14:01:28.000000,384,11.0,24.0,1246,379.0,Deep Learning Toolkit for Medical Image Analysis.,9.0,20,False,2018-02-26 17:43:57.000000,0.2.1,5.0,dltk,,,,['tensorflow'],20.0,20.0,https://pypi.org/project/dltk,2018-02-26 17:43:57.000000,,96.0,96.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n583,MLBox,AxeldeRomblay/MLBox,,hyperopt,https://github.com/AxeldeRomblay/MLBox,https://github.com/AxeldeRomblay/MLBox,BSD-1-Clause,2017-06-01 16:59:24.000000,2020-11-24 17:57:08.000000,2020-08-25 09:26:27.000000,247,11.0,72.0,1198,1121.0,MLBox is a powerful Automated Machine Learning python library.,9.0,20,False,2020-08-25 09:32:37.000000,0.8.5,21.0,mlbox,,,,,20.0,20.0,https://pypi.org/project/mlbox,2020-08-25 09:32:37.000000,,903.0,903.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n584,tensorrec,jfkirk/tensorrec,,recommender-systems,https://github.com/jfkirk/tensorrec,https://github.com/jfkirk/tensorrec,Apache-2.0,2017-02-28 18:51:11.000000,2020-07-30 02:47:12.000000,2020-02-04 21:10:25.000000,208,33.0,90.0,1129,334.0,A TensorFlow recommendation algorithm and framework in Python.,8.0,20,False,2019-04-02 00:53:47.000000,0.26.2,30.0,tensorrec,,,,['tensorflow'],27.0,24.0,https://pypi.org/project/tensorrec,2019-04-02 00:53:47.000000,3.0,883.0,883.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n585,Higher,facebookresearch/higher,,pytorch-utils,https://github.com/facebookresearch/higher,https://github.com/facebookresearch/higher,Apache-2.0,2019-09-06 18:58:36.000000,2021-03-02 09:56:03.000000,2021-03-02 09:56:03.000000,79,29.0,48.0,1064,29.0,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,7.0,20,True,2020-07-14 12:20:32.000000,0.2.1,2.0,higher,,,,['pytorch'],39.0,39.0,https://pypi.org/project/higher,2020-07-14 12:20:32.000000,0.0,9262.0,9262.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n586,Haiku,deepmind/dm-haiku,,ml-frameworks,https://github.com/deepmind/dm-haiku,https://github.com/deepmind/dm-haiku,Apache-2.0,2020-02-18 07:14:02.000000,2021-03-11 14:07:17.000000,2021-03-11 14:06:53.000000,69,20.0,52.0,1000,497.0,JAX-based neural network library.,38.0,20,True,2020-11-24 11:25:05.000000,0.0.3,5.0,,,,,,67.0,67.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n587,Sockeye,awslabs/sockeye,,nlp,https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30.000000,2021-03-10 18:28:39.000000,2021-03-10 18:27:21.000000,294,20.0,226.0,990,739.0,Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet.,52.0,20,True,2021-02-08 10:02:02.000000,2.3.10,62.0,sockeye,,,,['mxnet'],2.0,,https://pypi.org/project/sockeye,2021-02-08 10:02:02.000000,2.0,360.0,360.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n588,fastFM,ibayer/fastFM,,recommender-systems,https://github.com/ibayer/fastFM,https://github.com/ibayer/fastFM,BSD-3-Clause,2014-10-27 12:25:51.000000,2020-03-05 14:57:53.000000,2020-03-05 14:57:52.000000,187,44.0,59.0,906,291.0,fastFM: A Library for Factorization Machines.,19.0,20,True,2017-11-23 06:59:56.000000,0.2.11,10.0,fastfm,,,,,84.0,76.0,https://pypi.org/project/fastfm,2017-11-23 06:59:56.000000,8.0,248.0,253.0,,,,,,,,3.0,379.0,,,,,,,,,,,,,,,,,,,,,\n589,pyts,johannfaouzi/pyts,,time-series-data,https://github.com/johannfaouzi/pyts,https://github.com/johannfaouzi/pyts,BSD-3-Clause,2017-07-31 09:23:16.000000,2020-09-12 14:41:49.000000,2020-04-30 12:28:12.000000,97,24.0,19.0,886,360.0,A Python package for time series classification.,7.0,20,True,2020-03-21 12:41:33.000000,0.11.0,17.0,pyts,conda-forge/pyts,,,,94.0,90.0,https://pypi.org/project/pyts,2020-03-21 12:36:40.000000,4.0,3339.0,3679.0,https://anaconda.org/conda-forge/pyts,2020-03-21 14:08:24.734000,6462.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n590,TabNet,dreamquark-ai/tabnet,,pytorch-utils,https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000000,2021-03-02 12:37:32.000000,2021-03-01 11:50:35.000000,166,36.0,104.0,857,168.0,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,18.0,20,True,2021-02-02 08:05:11.000000,3.1.1,17.0,pytorch-tabnet,,,,['pytorch'],0.0,,https://pypi.org/project/pytorch-tabnet,2021-02-02 08:05:11.000000,0.0,5322.0,5322.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n591,mrq,pricingassistant/mrq,,data-pipelines,https://github.com/pricingassistant/mrq,https://github.com/pricingassistant/mrq,MIT,2014-02-13 09:32:40.000000,2021-03-03 21:58:19.000000,2020-12-13 18:58:15.000000,113,59.0,119.0,838,709.0,Mr. Queue - A distributed worker task queue in Python using Redis & gevent.,37.0,20,True,2018-08-31 16:03:04.000000,0.9.10,70.0,mrq,,,,,35.0,23.0,https://pypi.org/project/mrq,2018-08-31 16:03:04.000000,12.0,235.0,235.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n592,TFEncrypted,tf-encrypted/tf-encrypted,,privacy-ml,https://github.com/tf-encrypted/tf-encrypted,https://github.com/tf-encrypted/tf-encrypted,Apache-2.0,2018-03-21 18:22:13.000000,2020-11-19 15:48:03.000000,2020-08-19 16:56:56.000000,137,166.0,231.0,828,595.0,A Framework for Encrypted Machine Learning in TensorFlow.,28.0,20,True,2019-09-27 20:00:01.000000,0.5.9,35.0,tf-encrypted,,,,['tensorflow'],62.0,46.0,https://pypi.org/project/tf-encrypted,2019-10-21 18:05:53.000000,16.0,283.0,283.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n593,nude.py,hhatto/nude.py,,image,https://github.com/hhatto/nude.py,https://github.com/hhatto/nude.py,MIT,2013-06-09 06:55:55.000000,2020-11-23 13:49:32.000000,2020-11-23 13:49:02.000000,128,6.0,2.0,794,79.0,Nudity detection with Python.,12.0,20,True,2020-11-23 13:49:17.000000,0.5.1,10.0,nudepy,,,,,112.0,94.0,https://pypi.org/project/nudepy,2020-11-23 13:49:17.000000,18.0,2694.0,2694.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n594,DALEX,ModelOriented/DALEX,,interpretability,https://github.com/ModelOriented/DALEX,https://github.com/ModelOriented/DALEX,GPL-3.0,2018-02-18 03:24:12.000000,2021-03-09 21:32:21.000000,2021-03-02 16:58:23.000000,110,13.0,252.0,790,536.0,moDel Agnostic Language for Exploration and eXplanation.,17.0,20,False,2021-02-19 15:24:01.000000,1.0.1,19.0,dalex,,,,,11.0,11.0,https://pypi.org/project/dalex,2021-02-19 15:24:01.000000,,2084.0,2084.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n595,keras-ocr,faustomorales/keras-ocr,,ocr,https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50.000000,2021-03-10 00:21:28.000000,2020-11-26 17:18:25.000000,181,32.0,97.0,778,161.0,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,9.0,20,True,2020-11-26 17:19:39.000000,0.8.6,26.0,keras-ocr,,,,['tensorflow'],1.0,,https://pypi.org/project/keras-ocr,2020-11-26 17:19:39.000000,1.0,1567.0,5427.0,,,,,,,,3.0,23165.0,,,,,,,,,,,,,,,,,,,,,\n596,RecBole,RUCAIBox/RecBole,,recommender-systems,https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000000,2021-03-11 02:59:44.000000,2021-02-26 06:31:09.000000,110,24.0,68.0,770,2667.0,\"A unified, comprehensive and efficient recommendation library.\",27.0,20,True,2021-01-14 05:21:22.000000,0.2.0,4.0,recbole,aibox/recbole,,,['pytorch'],,,https://pypi.org/project/recbole,2021-01-14 05:21:22.000000,,262.0,319.0,https://anaconda.org/aibox/recbole,2021-01-14 06:11:03.469000,230.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n597,rows,turicas/rows,,data-loading,https://github.com/turicas/rows,https://github.com/turicas/rows,LGPL-3.0,2014-05-07 05:43:11.000000,2021-03-10 16:52:51.000000,2021-03-10 16:51:09.000000,130,138.0,149.0,739,738.0,\"A common, beautiful interface to tabular data, no matter the format.\",30.0,20,False,2019-02-14 21:20:15.000000,0.4.1,9.0,rows,,,,,170.0,118.0,https://pypi.org/project/rows,2019-02-14 21:12:03.000000,52.0,566.0,566.0,,,,,,,,3.0,37.0,,,,,,,,,,,,,,,,,,,,,\n598,AstroML,astroML/astroML,,others,https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50.000000,2021-03-10 09:57:27.000000,2021-03-05 18:35:43.000000,249,48.0,83.0,732,,\"Machine learning, statistics, and data mining for astronomy and astrophysics.\",30.0,20,True,2019-10-02 06:32:58.000000,0.4.1,10.0,astroML,conda-forge/astroml,,,['sklearn'],29.0,,https://pypi.org/project/astroML,2020-03-23 23:20:49.000000,29.0,631.0,1145.0,https://anaconda.org/conda-forge/astroml,2020-02-16 04:18:54.678000,22129.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n599,YouTokenToMe,vkcom/youtokentome,,nlp,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28.000000,2021-01-28 23:05:01.000000,2021-01-28 19:04:09.000000,44,20.0,22.0,725,79.0,Unsupervised text tokenizer focused on computational efficiency.,6.0,20,True,2020-02-13 09:57:47.000000,1.0.6,14.0,youtokentome,,,,,110.0,98.0,https://pypi.org/project/youtokentome,2020-02-12 18:24:46.000000,12.0,3741.0,3741.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n600,mlens,flennerhag/mlens,,others,https://github.com/flennerhag/mlens,https://github.com/flennerhag/mlens,MIT,2017-01-10 20:53:47.000000,2020-02-25 14:32:48.000000,2020-02-25 14:31:53.000000,85,8.0,73.0,679,879.0,ML-Ensemble high performance ensemble learning.,7.0,20,False,2018-10-30 22:34:35.000000,0.2.3,14.0,mlens,,,,,116.0,113.0,https://pypi.org/project/mlens,2018-10-30 22:30:43.000000,3.0,1168.0,1168.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n601,NeuPy,itdxer/neupy,,ml-frameworks,https://github.com/itdxer/neupy,https://github.com/itdxer/neupy,MIT,2015-08-24 19:45:11.000000,2020-01-15 08:04:33.000000,2019-09-02 19:02:38.000000,148,27.0,229.0,667,1145.0,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,6.0,20,False,2019-04-04 19:44:59.000000,0.8.2,34.0,neupy,,,,,112.0,101.0,https://pypi.org/project/neupy,2019-04-04 19:43:06.000000,11.0,682.0,682.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n602,finetune,IndicoDataSolutions/finetune,,nlp,https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16.000000,2021-03-10 01:11:43.000000,2021-02-19 22:42:31.000000,67,20.0,115.0,633,1201.0,Scikit-learn style model finetuning for NLP.,19.0,20,True,2020-01-10 22:42:24.000000,0.8.6,37.0,finetune,,,,\"['tensorflow', 'sklearn']\",11.0,9.0,https://pypi.org/project/finetune,2020-01-10 22:42:24.000000,2.0,225.0,225.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n603,TensorBoard Logger,TeamHG-Memex/tensorboard_logger,,ml-experiments,https://github.com/TeamHG-Memex/tensorboard_logger,https://github.com/TeamHG-Memex/tensorboard_logger,MIT,2016-10-27 14:02:25.000000,2020-10-27 20:51:06.000000,2019-10-21 07:52:07.000000,52,9.0,15.0,611,46.0,Log TensorBoard events without touching TensorFlow.,5.0,20,False,2018-02-08 07:28:51.000000,0.1.0,5.0,tensorboard_logger,,,,,96.0,,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51.000000,96.0,39916.0,39916.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n604,alibi-detect,SeldonIO/alibi-detect,,others,https://github.com/SeldonIO/alibi-detect,https://github.com/SeldonIO/alibi-detect,Apache-2.0,2019-10-07 13:29:13.000000,2021-03-08 10:15:22.000000,2021-03-05 18:04:21.000000,58,37.0,50.0,595,324.0,\"Algorithms for outlier and adversarial instance detection, concept drift and metrics.\",7.0,20,True,2021-03-05 18:02:07.000000,0.5.1,11.0,alibi-detect,,,,,20.0,19.0,https://pypi.org/project/alibi-detect,2021-03-05 18:01:21.000000,1.0,805.0,805.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n605,Torchbearer,pytorchbearer/torchbearer,,ml-frameworks,https://github.com/pytorchbearer/torchbearer,https://github.com/pytorchbearer/torchbearer,MIT,2018-03-12 16:30:42.000000,2021-02-28 13:53:07.000000,2021-02-28 13:53:07.000000,64,8.0,237.0,588,429.0,torchbearer: A model fitting library for PyTorch.,13.0,20,True,2020-01-31 14:07:22.000000,0.5.3,24.0,torchbearer,,,,['pytorch'],46.0,40.0,https://pypi.org/project/torchbearer,2020-01-31 14:05:56.000000,6.0,477.0,477.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n606,pdpipe,pdpipe/pdpipe,,data-pipelines,https://github.com/pdpipe/pdpipe,https://github.com/pdpipe/pdpipe,MIT,2017-01-24 20:37:22.000000,2021-02-23 19:36:13.000000,2021-02-23 18:30:54.000000,28,6.0,15.0,587,342.0,Easy pipelines for pandas DataFrames.,8.0,20,True,2021-02-23 19:40:09.000000,0.0.51,49.0,pdpipe,,,,['pandas'],27.0,27.0,https://pypi.org/project/pdpipe,2020-11-09 09:32:37.000000,,872.0,872.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n607,bambi,bambinos/bambi,,probabilistics,https://github.com/bambinos/bambi,https://github.com/bambinos/bambi,MIT,2016-05-16 03:21:00.000000,2021-03-09 09:39:12.000000,2021-03-09 09:39:12.000000,51,25.0,134.0,576,537.0,BAyesian Model-Building Interface (Bambi) in Python.,16.0,20,True,2021-03-08 08:38:10.000000,0.4.0,11.0,bambi,,,,,13.0,10.0,https://pypi.org/project/bambi,2021-03-08 08:38:10.000000,3.0,174.0,174.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n608,baikal,alegonz/baikal,,others,https://github.com/alegonz/baikal,https://github.com/alegonz/baikal,BSD-3-Clause,2019-01-21 12:59:02.000000,2021-01-31 09:13:47.685000,2021-01-30 09:29:45.000000,28,4.0,12.0,572,400.0,A graph-based functional API for building complex scikit-learn pipelines.,2.0,20,True,2020-11-15 13:40:18.000000,0.4.2,7.0,baikal,conda-forge/cython-blis,,,,3.0,3.0,https://pypi.org/project/baikal,2020-11-15 13:40:18.000000,,45.0,17695.0,https://anaconda.org/conda-forge/cython-blis,2021-01-31 09:13:47.685000,423609.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n609,lets-plot,JetBrains/lets-plot,,data-viz,https://github.com/JetBrains/lets-plot,https://github.com/JetBrains/lets-plot,MIT,2019-03-20 16:13:03.000000,2021-03-11 14:52:33.000000,2021-03-11 13:13:32.000000,15,67.0,82.0,518,1874.0,An open-source plotting library for statistical data.,15.0,20,True,2021-02-09 19:58:21.000000,2.0.0,28.0,lets-plot,,,,,7.0,7.0,https://pypi.org/project/lets-plot,2021-02-09 19:50:17.000000,,2036.0,2036.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n610,Labml,lab-ml/labml,,ml-experiments,https://github.com/lab-ml/labml,https://github.com/lab-ml/labml,MIT,2018-11-16 09:34:48.000000,2021-03-06 09:29:35.000000,2021-03-06 09:29:35.000000,40,,6.0,502,936.0,Monitor deep learning model training and hardware usage from your mobile phone.,6.0,20,True,2021-03-03 05:24:12.000000,0.4.105,82.0,labml,,,,,22.0,22.0,https://pypi.org/project/labml,2021-03-03 05:24:12.000000,0.0,368.0,368.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n611,Poutyne,GRAAL-Research/poutyne,,pytorch-utils,https://github.com/GRAAL-Research/poutyne,https://github.com/GRAAL-Research/poutyne,LGPL-3.0,2017-12-07 18:30:17.000000,2021-03-08 23:10:22.000000,2021-03-05 18:18:19.000000,49,7.0,35.0,457,529.0,A simplified framework and utilities for PyTorch.,15.0,20,False,2021-03-05 18:27:25.000000,1.3.1,20.0,poutyne,,,,['pytorch'],59.0,55.0,https://pypi.org/project/poutyne,2021-03-05 18:27:57.000000,4.0,496.0,496.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n612,Caer,jasmcaus/caer,,image,https://github.com/jasmcaus/caer,https://github.com/jasmcaus/caer,MIT,2020-08-06 18:36:14.000000,2021-02-28 15:12:49.000000,2021-02-28 15:13:59.000000,62,5.0,8.0,447,4873.0,\"A lightweight Computer Vision library. Scale your models, not boilerplate.\",4.0,20,True,2021-01-28 14:06:10.000000,1.9.8,109.0,caer,,,https://caer.rtfd.io,,0.0,,https://pypi.org/project/caer,2021-01-28 14:06:10.000000,0.0,2237.0,2239.0,,,,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,,,,\n613,scikit-lego,koaning/scikit-lego,,sklearn-utils,https://github.com/koaning/scikit-lego,https://github.com/koaning/scikit-lego,MIT,2019-01-21 15:30:15.000000,2021-03-07 16:22:39.000000,2021-03-03 19:12:23.000000,67,21.0,188.0,442,,Extra blocks for scikit-learn pipelines.,39.0,20,True,2021-01-04 09:19:31.000000,0.6.3,29.0,scikit-lego,conda-forge/scikit-lego,,,['sklearn'],20.0,20.0,https://pypi.org/project/scikit-lego,2021-01-04 09:19:31.000000,0.0,699.0,1220.0,https://anaconda.org/conda-forge/scikit-lego,2020-11-02 09:40:04.581000,8873.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n614,lazypredict,shankarpandala/lazypredict,,hyperopt,https://github.com/shankarpandala/lazypredict,https://github.com/shankarpandala/lazypredict,MIT,2019-11-16 09:56:35.000000,2021-02-25 21:45:50.000000,2021-02-25 21:45:50.000000,90,14.0,29.0,396,195.0,Lazy Predict help build a lot of basic models without much code and helps understand which models works better without..,12.0,20,True,2021-02-17 15:38:45.000000,0.2.9,11.0,lazypredict,,,,['sklearn'],35.0,35.0,https://pypi.org/project/lazypredict,2021-02-17 15:38:45.000000,,688.0,688.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n615,explainerdashboard,oegedijk/explainerdashboard,,interpretability,https://github.com/oegedijk/explainerdashboard,https://github.com/oegedijk/explainerdashboard,MIT,2019-10-30 08:26:16.000000,2021-03-11 13:57:03.000000,2021-03-04 08:27:02.000000,48,9.0,72.0,368,590.0,Quickly build Explainable AI dashboards that show the inner workings of so-called blackbox machine learning models.,8.0,20,True,2021-03-03 19:28:29.000000,0.3.2.2,70.0,explainerdashboard,,,,,10.0,10.0,https://pypi.org/project/explainerdashboard,2021-03-03 19:29:01.000000,,1981.0,1981.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n616,optunity,claesenm/optunity,,hyperopt,https://github.com/claesenm/optunity,https://github.com/claesenm/optunity,BSD-3-Clause,2014-05-28 17:29:11.000000,2020-05-11 14:32:39.000000,2020-05-11 14:32:38.000000,72,46.0,48.0,363,782.0,optimization routines for hyperparameter tuning.,9.0,20,True,2015-09-30 05:02:00.000000,1.1.1,6.0,optunity,,,,,82.0,58.0,https://pypi.org/project/optunity,2015-09-30 05:02:00.000000,24.0,6587.0,6587.0,,,,,,,,3.0,62.0,,,,,,,,,,,,,,,,,,,,,\n617,skope-rules,scikit-learn-contrib/skope-rules,,sklearn-utils,https://github.com/scikit-learn-contrib/skope-rules,https://github.com/scikit-learn-contrib/skope-rules,BSD-1-Clause,2018-02-18 13:42:47.000000,2020-12-11 14:42:41.000000,2020-10-23 14:31:57.000000,59,23.0,4.0,361,247.0,machine learning with logical rules in Python.,18.0,20,False,2020-12-11 09:37:02.000000,1.0.1,4.0,skope-rules,,,,['sklearn'],31.0,25.0,https://pypi.org/project/skope-rules,2020-01-25 12:01:37.000000,6.0,11343.0,11343.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n618,BioPandas,rasbt/biopandas,,others,https://github.com/rasbt/biopandas,https://github.com/rasbt/biopandas,BSD-3-Clause,2015-11-21 00:00:14.000000,2021-03-03 00:55:13.000000,2021-03-03 00:51:30.000000,76,16.0,18.0,328,,Working with molecular structures in pandas DataFrames.,7.0,20,True,2021-03-03 00:55:13.000000,0.2.8,12.0,biopandas,conda-forge/biopandas,,,['pandas'],58.0,52.0,https://pypi.org/project/biopandas,2021-03-03 00:55:13.000000,6.0,180.0,1525.0,https://anaconda.org/conda-forge/biopandas,2020-08-08 06:33:59.197000,68595.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n619,joypy,sbebo/joypy,,data-viz,https://github.com/sbebo/joypy,https://github.com/sbebo/joypy,MIT,2017-07-30 17:18:50.000000,2020-12-28 14:07:53.760000,2020-12-28 11:56:12.000000,33,4.0,34.0,321,108.0,Joyplots in Python with matplotlib & pandas.,5.0,20,True,2020-12-28 11:54:36.000000,0.2.4,16.0,joypy,conda-forge/joypy,,,,73.0,67.0,https://pypi.org/project/joypy,2020-12-28 11:54:36.000000,6.0,2105.0,2457.0,https://anaconda.org/conda-forge/joypy,2020-12-28 14:07:53.760000,8448.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n620,MedPy,loli/medpy,,medical-data,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34.000000,2020-05-01 15:25:39.000000,2020-05-01 15:25:38.000000,106,9.0,66.0,318,324.0,Medical image processing in Python.,13.0,20,False,2019-02-14 17:12:59.000000,0.4.0,6.0,MedPy,,,,,260.0,230.0,https://pypi.org/project/MedPy,2019-02-14 17:12:59.000000,30.0,2937.0,2937.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n621,DESlib,scikit-learn-contrib/DESlib,,sklearn-utils,https://github.com/scikit-learn-contrib/DESlib,https://github.com/scikit-learn-contrib/DESlib,BSD-3-Clause,2017-12-08 22:49:49.000000,2021-03-08 22:06:03.000000,2021-02-09 20:14:21.000000,73,14.0,123.0,315,263.0,A Python library for dynamic classifier and ensemble selection.,12.0,20,True,2021-02-08 06:29:25.000000,0.3.5,4.0,deslib,,,,['sklearn'],15.0,15.0,https://pypi.org/project/deslib,2021-02-08 06:29:25.000000,0.0,157.0,157.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n622,scikit-rebate,EpistasisLab/scikit-rebate,,others,https://github.com/EpistasisLab/scikit-rebate,https://github.com/EpistasisLab/scikit-rebate,MIT,2016-09-19 13:36:17.000000,2021-02-15 17:41:57.000000,2021-02-15 17:10:59.000000,58,13.0,18.0,313,283.0,\"A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for..\",13.0,20,True,2017-04-12 16:12:01.000000,0.3.4,12.0,skrebate,,,,['sklearn'],183.0,121.0,https://pypi.org/project/skrebate,2021-02-15 17:25:49.000000,62.0,886.0,886.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n623,rrcf,kLabUM/rrcf,,others,https://github.com/kLabUM/rrcf,https://github.com/kLabUM/rrcf,MIT,2018-10-20 05:39:05.000000,2021-01-13 23:05:23.000000,2020-06-10 01:07:39.000000,70,18.0,17.0,287,253.0,Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams.,4.0,20,True,2020-06-10 01:53:55.000000,0.4.3,7.0,rrcf,,,,,18.0,18.0,https://pypi.org/project/rrcf,2020-06-10 01:53:55.000000,0.0,2060.0,2060.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n624,impyute,eltonlaw/impyute,,others,https://github.com/eltonlaw/impyute,https://github.com/eltonlaw/impyute,MIT,2017-01-21 09:16:27.000000,2020-06-12 21:08:40.000000,2019-10-05 20:39:08.000000,41,26.0,36.0,272,289.0,Data imputations library to preprocess datasets with missing data.,9.0,20,False,2019-04-29 02:31:32.000000,0.0.8,8.0,impyute,,,,,86.0,82.0,https://pypi.org/project/impyute,2019-04-29 02:31:32.000000,4.0,1367.0,1367.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n625,EarthPy,earthlab/earthpy,,geospatial-data,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000000,2021-03-10 19:15:27.000000,2021-03-10 19:15:27.000000,102,16.0,200.0,232,,A package built to support working with spatial data using open source python.,39.0,20,True,2020-06-18 23:58:08.000000,0.9.2,22.0,earthpy,conda-forge/earthpy,,,,83.0,77.0,https://pypi.org/project/earthpy,2020-06-18 23:58:08.000000,6.0,1438.0,2689.0,https://anaconda.org/conda-forge/earthpy,2020-06-19 15:23:44.425000,28793.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n626,Auto ViML,AutoViML/Auto_ViML,,hyperopt,https://github.com/AutoViML/Auto_ViML,https://github.com/AutoViML/Auto_ViML,Apache-2.0,2019-06-10 13:09:15.000000,2021-03-09 04:09:00.000000,2021-03-09 04:08:48.000000,53,3.0,13.0,215,285.0,Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome...,6.0,20,True,2021-01-15 14:52:54.000000,0.1.677,126.0,autoviml,,,,,13.0,13.0,https://pypi.org/project/autoviml,2021-01-15 14:52:54.000000,0.0,285.0,285.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n627,fletcher,xhochy/fletcher,,data-containers,https://github.com/xhochy/fletcher,https://github.com/xhochy/fletcher,MIT,2018-03-04 16:44:22.000000,2021-02-18 14:46:18.000000,2021-02-18 14:46:18.000000,32,33.0,40.0,209,520.0,Pandas ExtensionDType/Array backed by Apache Arrow.,24.0,20,True,2021-01-17 20:11:01.000000,0.7.2,16.0,fletcher,conda-forge/fletcher,,,['pandas'],3.0,3.0,https://pypi.org/project/fletcher,2021-01-17 20:11:01.000000,0.0,144.0,781.0,https://anaconda.org/conda-forge/fletcher,2021-01-17 21:23:17.140000,20389.0,,,,,3.0,12.0,,,,,,,,,,,,,,,,,,,,,\n628,ploomber,ploomber/ploomber,,data-pipelines,https://github.com/ploomber/ploomber,https://github.com/ploomber/ploomber,Apache-2.0,2020-01-20 20:13:06.000000,2021-03-11 05:10:25.000000,2021-03-07 16:48:54.000000,2,41.0,246.0,208,1675.0,\"A convention over configuration workflow orchestrator. Develop locally (Jupyter or your favorite editor), deploy to..\",4.0,20,True,2021-02-15 14:12:10.000000,0.9.4,38.0,ploomber,,,,,13.0,13.0,https://pypi.org/project/ploomber,2021-03-07 17:10:50.000000,0.0,1378.0,1378.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n629,scikit-posthocs,maximtrp/scikit-posthocs,,probabilistics,https://github.com/maximtrp/scikit-posthocs,https://github.com/maximtrp/scikit-posthocs,MIT,2017-06-22 19:41:37.000000,2021-03-09 20:13:27.000000,2021-03-09 20:13:11.000000,20,3.0,34.0,187,449.0,Multiple Pairwise Comparisons (Post Hoc) Tests in Python.,8.0,20,True,2020-10-12 19:15:07.000000,0.6.6,20.0,scikit-posthocs,,,,['sklearn'],6.0,,https://pypi.org/project/scikit-posthocs,2020-10-12 19:06:51.000000,6.0,10374.0,10374.0,,,,,,,,3.0,19.0,,,,,,,,,,,,,,,,,,,,,\n630,Qlib,microsoft/qlib,,financial-data,https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000000,2021-03-11 14:07:20.000000,2021-03-11 14:07:20.000000,716,102.0,72.0,4586,,\"Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research,..\",32.0,19,True,2021-02-02 09:29:47.000000,0.6.2,16.0,pyqlib,,,,['pytorch'],1.0,1.0,https://pypi.org/project/pyqlib,2021-02-02 09:29:47.000000,,1051.0,1088.0,,,,,,,,3.0,225.0,,,,,,,,,,,,,,,,,,,,,\n631,MindsDB,mindsdb/mindsdb,,ml-frameworks,https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,GPL-3.0,2018-08-02 17:56:45.000000,2021-03-11 10:17:25.000000,2021-03-01 18:46:36.000000,427,27.0,505.0,3595,,Predictive AI layer for existing databases.,56.0,19,False,2021-02-24 14:31:35.000000,2.22.0,42.0,mindsdb,,,,['pytorch'],6.0,,https://pypi.org/project/mindsdb,2019-03-19 05:07:23.000000,6.0,1057.0,1057.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n632,TRFL,deepmind/trfl,,reinforcement-learning,https://github.com/deepmind/trfl,https://github.com/deepmind/trfl,Apache-2.0,2018-08-08 14:44:11.000000,2020-11-06 04:44:44.000000,2020-04-20 13:05:56.000000,372,6.0,16.0,3063,116.0,TensorFlow Reinforcement Learning.,12.0,19,True,2020-04-20 14:11:57.000000,1.1.0,4.0,trfl,,,,['tensorflow'],42.0,40.0,https://pypi.org/project/trfl,2020-04-20 14:11:57.000000,2.0,486.0,486.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n633,AdaBound,Luolc/AdaBound,,pytorch-utils,https://github.com/Luolc/AdaBound,https://github.com/Luolc/AdaBound,Apache-2.0,2019-02-15 18:05:20.000000,2019-03-06 17:01:52.000000,2019-03-06 17:01:45.000000,323,16.0,7.0,2833,27.0,An optimizer that trains as fast as Adam and as good as SGD.,2.0,19,False,2019-03-06 16:44:42.000000,0.0.5,4.0,adabound,,,,['pytorch'],116.0,104.0,https://pypi.org/project/adabound,2019-02-26 04:23:45.000000,12.0,656.0,656.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n634,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,,graph,https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16.000000,2021-02-19 01:29:28.000000,2021-01-19 22:30:34.000000,362,34.0,101.0,2704,142.0,Generate embeddings from large-scale graph-structured data.,19.0,19,True,2019-10-14 16:45:11.000000,1.0.0,3.0,torchbiggraph,,,,['pytorch'],4.0,,https://pypi.org/project/torchbiggraph,2019-05-01 21:31:13.000000,4.0,222.0,226.0,,,,,,,,3.0,112.0,,,,,,,,,,,,,,,,,,,,,\n635,tf-quant-finance,google/tf-quant-finance,,financial-data,https://github.com/google/tf-quant-finance,https://github.com/google/tf-quant-finance,Apache-2.0,2019-07-24 16:09:50.000000,2021-03-11 10:08:03.000000,2021-03-11 10:07:56.000000,318,12.0,11.0,2503,657.0,High-performance TensorFlow library for quantitative finance.,30.0,19,True,,,21.0,tf-quant-finance,,,,['tensorflow'],4.0,4.0,https://pypi.org/project/tf-quant-finance,2021-02-01 16:10:08.000000,0.0,111.0,111.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n636,DeepWalk,phanein/deepwalk,,graph,https://github.com/phanein/deepwalk,https://github.com/phanein/deepwalk,GPL-3.0,2014-08-23 03:38:20.000000,2020-04-02 01:05:36.000000,2020-04-02 01:05:35.000000,755,29.0,78.0,2195,46.0,DeepWalk - Deep Learning for Graphs.,10.0,19,False,2018-04-29 21:05:18.000000,1.0.3,4.0,deepwalk,,,,,43.0,36.0,https://pypi.org/project/deepwalk,2018-04-29 21:05:18.000000,7.0,951.0,951.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n637,Apache Singa,apache/singa,,distributed-ml,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000000,2021-03-10 14:01:07.000000,2021-01-15 13:09:22.000000,607,40.0,35.0,2186,2265.0,a distributed deep learning platform.,70.0,19,True,2020-04-21 08:01:08.000000,3.0.0,14.0,,nusdbsystem/singa,apache/singa,,,1.0,1.0,,,,,7.0,https://anaconda.org/nusdbsystem/singa,2021-01-20 03:00:28.355000,260.0,https://hub.docker.com/r/apache/singa,2019-06-04 04:32:52.195956,2.0,165.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n638,Texthero,jbesomi/texthero,,nlp,https://github.com/jbesomi/texthero,https://github.com/jbesomi/texthero,MIT,2020-04-06 15:16:05.000000,2020-12-09 16:49:27.000000,2020-11-03 07:58:36.000000,184,73.0,47.0,2108,267.0,\"Text preprocessing, representation and visualization from zero to hero.\",18.0,19,True,2020-07-06 20:32:28.000000,1.0.9,9.0,texthero,,,,,0.0,,https://pypi.org/project/texthero,2020-07-06 20:29:25.000000,0.0,1575.0,1580.0,,,,,,,,3.0,62.0,,,,,,,,,,,,,,,,,,,,,\n639,HiPlot,facebookresearch/hiplot,,data-viz,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41.000000,2021-03-11 08:12:42.000000,2021-03-11 08:03:09.000000,92,10.0,50.0,2042,123.0,HiPlot makes understanding high dimensional data easy.,6.0,19,True,2021-02-10 13:54:47.000000,0.1.23,44.0,hiplot,conda-forge/hiplot,,,,2.0,2.0,https://pypi.org/project/hiplot,2021-03-11 08:12:42.000000,0.0,2246.0,5973.0,https://anaconda.org/conda-forge/hiplot,2021-02-10 16:12:37.041000,48461.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n640,cuML,rapidsai/cuml,,gpu-utilities,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000000,2021-03-11 13:57:19.000000,2021-03-11 13:38:57.000000,312,629.0,1003.0,1989,,cuML - RAPIDS Machine Learning Library.,122.0,19,True,2021-02-24 21:41:14.000000,0.18.0,7.0,cuml,,,,,0.0,,https://pypi.org/project/cuml,2020-06-01 20:09:10.000000,0.0,202.0,202.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n641,Coach,IntelLabs/coach,,reinforcement-learning,https://github.com/IntelLabs/coach,https://github.com/IntelLabs/coach,Apache-2.0,2017-10-01 19:27:43.000000,2021-02-09 13:54:52.000000,2021-02-09 13:54:44.000000,374,80.0,182.0,1938,513.0,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,34.0,19,True,2019-10-10 14:17:10.000000,1.0.1,13.0,rl_coach,,,,,2.0,,https://pypi.org/project/rl_coach,2019-10-10 14:17:10.000000,2.0,78.0,78.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n642,pdftabextract,WZBSocialScienceCenter/pdftabextract,,ocr,https://github.com/WZBSocialScienceCenter/pdftabextract,https://github.com/WZBSocialScienceCenter/pdftabextract,Apache-2.0,2016-07-08 11:44:46.000000,2020-12-28 00:52:23.000000,2018-10-26 13:57:02.000000,331,2.0,18.0,1898,168.0,A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.,2.0,19,False,2018-01-09 08:00:24.000000,0.3.0,5.0,pdftabextract,,,,,37.0,36.0,https://pypi.org/project/pdftabextract,2018-01-09 08:00:24.000000,1.0,197.0,197.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n643,checklist,marcotcr/checklist,,interpretability,https://github.com/marcotcr/checklist,https://github.com/marcotcr/checklist,MIT,2020-03-09 17:18:49.000000,2021-03-10 17:14:09.000000,2021-03-02 00:40:51.000000,106,3.0,64.0,1274,220.0,Beyond Accuracy: Behavioral Testing of NLP models with CheckList.,9.0,19,True,2020-09-21 18:30:40.000000,0.0.10,9.0,checklist,,,,['jupyter'],8.0,6.0,https://pypi.org/project/checklist,2020-09-21 18:30:40.000000,2.0,294.0,294.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n644,CausalNex,quantumblacklabs/causalnex,,interpretability,https://github.com/quantumblacklabs/causalnex,https://github.com/quantumblacklabs/causalnex,Apache-2.0,2019-12-12 15:26:09.000000,2021-03-03 15:00:55.000000,2021-03-03 14:41:44.000000,111,34.0,35.0,1026,93.0,A Python library that helps data scientists to infer causation rather than observing correlation.,16.0,19,True,2021-01-06 22:07:04.000000,0.9.1,13.0,causalnex,,,,\"['pytorch', 'sklearn']\",9.0,9.0,https://pypi.org/project/causalnex,2021-01-06 22:10:09.000000,,4535.0,4535.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n645,TensorNets,taehoonlee/tensornets,,tensorflow-utils,https://github.com/taehoonlee/tensornets,https://github.com/taehoonlee/tensornets,MIT,2017-09-19 05:19:01.000000,2021-01-02 06:28:10.000000,2021-01-02 06:26:24.000000,187,14.0,42.0,983,284.0,High level network definitions with pre-trained weights in TensorFlow.,6.0,19,True,2020-03-31 04:38:27.000000,0.4.6,12.0,tensornets,,,,['tensorflow'],35.0,31.0,https://pypi.org/project/tensornets,2020-03-31 04:35:15.000000,4.0,129.0,129.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n646,Skater,oracle/Skater,,interpretability,https://github.com/oracle/Skater,https://github.com/oracle/Skater,UPL-1.0,2017-01-26 05:45:42.000000,2020-11-01 15:57:12.273000,2020-06-29 20:07:12.000000,162,68.0,97.0,973,1101.0,Python Library for Model Interpretation/Explanations.,34.0,19,False,2018-09-21 07:03:32.000000,1.1.2,23.0,skater,conda-forge/skater,,,,,,https://pypi.org/project/skater,2018-09-21 07:03:32.000000,,5518.0,6297.0,https://anaconda.org/conda-forge/skater,2020-11-01 15:57:12.273000,35070.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n647,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,,pytorch-utils,https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000000,2021-03-04 11:14:36.000000,2021-03-04 11:14:33.000000,73,3.0,14.0,935,655.0,PyTorch extensions for fast R&D prototyping and Kaggle farming.,5.0,19,True,2021-03-03 09:36:08.000000,0.4.2,20.0,pytorch_toolbelt,,,,['pytorch'],2.0,,https://pypi.org/project/pytorch_toolbelt,2021-03-02 20:57:35.000000,2.0,4971.0,4971.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n648,gplearn,trevorstephens/gplearn,,others,https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14.000000,2020-02-15 08:12:38.000000,2020-02-15 08:12:17.000000,157,32.0,117.0,915,146.0,\"Genetic Programming in Python, with a scikit-learn inspired API.\",10.0,19,False,2019-06-01 02:04:52.000000,0.4.1,5.0,gplearn,,,,['sklearn'],154.0,140.0,https://pypi.org/project/gplearn,2019-06-01 02:04:52.000000,14.0,839.0,839.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n649,geoplotlib,andrea-cuttone/geoplotlib,,geospatial-data,https://github.com/andrea-cuttone/geoplotlib,https://github.com/andrea-cuttone/geoplotlib,MIT,2015-02-24 13:13:07.000000,2020-04-10 20:00:31.000000,2019-05-06 07:06:50.000000,145,24.0,18.0,901,159.0,python toolbox for visualizing geographical data and making maps.,8.0,19,False,2016-07-27 14:55:01.000000,0.3.2,4.0,geoplotlib,,,,,101.0,90.0,https://pypi.org/project/geoplotlib,2016-07-27 14:55:01.000000,11.0,835.0,835.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n650,pytorch-forecasting,jdb78/pytorch-forecasting,,time-series-data,https://github.com/jdb78/pytorch-forecasting,https://github.com/jdb78/pytorch-forecasting,MIT,2020-07-03 13:05:24.000000,2021-03-10 10:39:19.000000,2021-03-10 10:39:12.000000,95,46.0,114.0,833,741.0,Time series forecasting with PyTorch.,16.0,19,True,2021-03-07 14:35:09.000000,0.8.4,25.0,pytorch-forecasting,,,,,,,https://pypi.org/project/pytorch-forecasting,2021-03-07 14:35:09.000000,,3748.0,3748.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n651,calamari,Calamari-OCR/calamari,,ocr,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,Apache-2.0,2018-03-20 15:22:29.000000,2021-03-06 10:31:30.000000,2021-02-27 12:29:55.000000,167,21.0,149.0,790,337.0,Line based ATR Engine based on OCRopy.,17.0,19,True,2021-02-13 15:03:34.000000,2.0.1,24.0,calamari_ocr,,,,,2.0,,https://pypi.org/project/calamari_ocr,2018-11-13 11:24:45.000000,2.0,338.0,338.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n652,TF Recommenders,tensorflow/recommenders,,recommender-systems,https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01.000000,2021-03-10 18:58:15.000000,2021-03-10 18:58:08.000000,85,43.0,61.0,749,,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,20.0,19,True,2021-01-21 00:51:17.000000,0.4.0,8.0,tensorflow-recommenders,,,,['tensorflow'],13.0,13.0,https://pypi.org/project/tensorflow-recommenders,2021-01-21 00:51:17.000000,,2962.0,2962.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n653,NearPy,pixelogik/NearPy,,nn-search,https://github.com/pixelogik/NearPy,https://github.com/pixelogik/NearPy,MIT,2013-04-25 09:10:26.000000,2020-02-17 20:24:08.000000,2018-10-21 17:54:28.000000,135,23.0,38.0,664,159.0,\"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..\",18.0,19,False,2016-09-27 13:04:44.000000,1.0.0,8.0,NearPy,,,,,65.0,49.0,https://pypi.org/project/NearPy,2016-09-27 13:03:12.000000,16.0,961.0,961.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n654,Test Tube,williamFalcon/test-tube,,hyperopt,https://github.com/williamFalcon/test-tube,https://github.com/williamFalcon/test-tube,MIT,2017-09-06 02:14:57.000000,2021-01-17 20:04:39.000000,2020-03-17 22:44:47.000000,61,25.0,21.0,661,642.0,Python library to easily log experiments and parallelize hyperparameter search for neural networks.,16.0,19,True,2019-12-01 01:19:36.000000,0.7.5,53.0,test_tube,,,,,5.0,,https://pypi.org/project/test_tube,2018-12-12 22:45:59.000000,5.0,6437.0,6437.0,,,,,,,,3.0,8.0,,,,,,,,,,,,,,,,,,,,,\n655,NGT,yahoojapan/NGT,,nn-search,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000000,2021-02-26 01:28:27.000000,2021-02-26 01:27:37.000000,70,8.0,71.0,634,125.0,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,11.0,19,True,2021-02-14 23:05:20.000000,1.13.4,47.0,ngt,,,,,6.0,,https://pypi.org/project/ngt,2020-09-23 06:52:45.000000,6.0,2216.0,2216.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n656,Objax,google/objax,,ml-frameworks,https://github.com/google/objax,https://github.com/google/objax,Apache-2.0,2020-08-20 06:20:40.000000,2021-03-09 18:17:17.000000,2021-02-23 20:46:17.000000,45,41.0,49.0,577,402.0,Objax is a machine learning framework that provides an Object Oriented layer for JAX.,20.0,19,True,2021-02-03 19:08:33.000000,1.3.1,6.0,objax,,,,['jax'],6.0,6.0,https://pypi.org/project/objax,2021-02-03 18:57:30.000000,0.0,161.0,161.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n657,PFRL,pfnet/pfrl,,reinforcement-learning,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50.000000,2021-03-09 13:05:26.000000,2021-03-09 02:40:07.000000,62,22.0,24.0,532,348.0,PFRL: a PyTorch-based deep reinforcement learning library.,12.0,19,True,2020-12-17 05:00:25.000000,0.2.1,4.0,pfrl,,,,,5.0,5.0,https://pypi.org/project/pfrl,2020-12-17 05:00:25.000000,,390.0,390.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n658,iterative-stratification,trent-b/iterative-stratification,,sklearn-utils,https://github.com/trent-b/iterative-stratification,https://github.com/trent-b/iterative-stratification,BSD-3-Clause,2018-02-04 00:32:10.000000,2020-09-12 15:32:44.000000,2020-09-12 15:35:02.000000,47,1.0,10.0,529,47.0,scikit-learn cross validators for iterative stratification of multilabel data.,4.0,19,True,2018-08-12 18:28:50.000000,0.1.6,5.0,iterative-stratification,,,,['sklearn'],130.0,116.0,https://pypi.org/project/iterative-stratification,2018-08-12 18:28:50.000000,14.0,3385.0,3385.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n659,deeplift,kundajelab/deeplift,,interpretability,https://github.com/kundajelab/deeplift,https://github.com/kundajelab/deeplift,MIT,2016-06-01 02:18:06.000000,2020-11-11 19:56:24.000000,2020-11-11 19:56:23.000000,125,29.0,46.0,507,551.0,Public facing deeplift repo.,11.0,19,True,2018-07-13 21:11:52.000000,0.6.6,21.0,deeplift,,,,,48.0,44.0,https://pypi.org/project/deeplift,2020-11-11 09:32:57.000000,4.0,389.0,389.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n660,Feature Engine,solegalli/feature_engine,,others,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2018-12-31 01:47:18.000000,2021-03-04 14:05:43.000000,2021-03-04 14:05:43.000000,132,26.0,75.0,469,105.0,Feature engineering package with sklearn like functionality.,20.0,19,True,2021-01-23 12:03:16.000000,1.0.2,25.0,feature_engine,conda-forge/feature_engine,,,,2.0,,https://pypi.org/project/feature_engine,2021-01-23 12:03:16.000000,2.0,8166.0,8433.0,https://anaconda.org/conda-forge/feature_engine,2021-01-25 12:36:37.909000,1870.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n661,What-If Tool,PAIR-code/what-if-tool,,interpretability,https://github.com/PAIR-code/what-if-tool,https://github.com/PAIR-code/what-if-tool,Apache-2.0,2018-09-07 20:26:10.000000,2021-03-05 18:16:43.000000,2021-01-19 14:26:52.000000,96,35.0,36.0,465,313.0,Source code/webpage/demos for the What-If Tool.,18.0,19,True,2021-01-19 14:40:37.214000,1.8.0,38.0,witwidget,,,,,0.0,,https://pypi.org/project/witwidget,2021-01-19 14:40:21.000000,0.0,3858.0,7175.0,,,,,,,,3.0,,,,wit-widget,https://www.npmjs.com/package/wit-widget,2021-01-19 14:40:37.214000,,3317.0,,,,,,,,,,,,,,\n662,N2,kakao/n2,,nn-search,https://github.com/kakao/n2,https://github.com/kakao/n2,Apache-2.0,2017-11-23 02:27:59.000000,2020-10-21 05:15:27.000000,2020-10-21 05:14:11.000000,52,17.0,22.0,457,242.0,TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets.,17.0,19,True,2020-10-16 03:43:47.000000,0.1.7,9.0,n2,,,,,16.0,12.0,https://pypi.org/project/n2,2020-10-16 03:10:01.000000,4.0,395.0,395.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n663,seglearn,dmbee/seglearn,,time-series-data,https://github.com/dmbee/seglearn,https://github.com/dmbee/seglearn,BSD-3-Clause,2018-03-05 20:53:59.000000,2021-01-17 19:11:59.000000,2021-01-16 23:21:41.000000,47,6.0,21.0,434,267.0,Python module for machine learning time series:.,13.0,19,True,2021-01-17 19:11:59.000000,1.2.2,21.0,seglearn,,,,,8.0,7.0,https://pypi.org/project/seglearn,2021-01-17 19:11:59.000000,1.0,979.0,979.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n664,pivottablejs,nicolaskruchten/jupyter_pivottablejs,,data-viz,https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,MIT,2015-09-09 13:39:18.000000,2018-12-04 14:43:26.000000,2018-12-04 14:43:25.000000,57,16.0,37.0,423,32.0,\"Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js.\",3.0,19,False,2018-01-15 18:14:37.000000,0.9.0,10.0,pivottablejs,,,,['jupyter'],182.0,148.0,https://pypi.org/project/pivottablejs,2018-01-15 18:14:37.000000,34.0,4462.0,4462.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n665,animatplot,t-makaro/animatplot,,data-viz,https://github.com/t-makaro/animatplot,https://github.com/t-makaro/animatplot,MIT,2017-04-03 00:54:04.000000,2020-10-06 02:02:00.460000,2020-10-05 06:14:18.000000,33,16.0,15.0,358,178.0,A python package for animating plots build on matplotlib.,7.0,19,True,2020-10-05 06:20:52.000000,0.4.2,10.0,animatplot,conda-forge/animatplot,,,,15.0,14.0,https://pypi.org/project/animatplot,2020-10-05 06:20:52.000000,1.0,74.0,287.0,https://anaconda.org/conda-forge/animatplot,2020-10-06 02:02:00.460000,5336.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n666,PyKEEN,pykeen/pykeen,,graph,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000000,2021-03-10 21:25:05.000000,2021-03-10 21:24:36.000000,56,61.0,88.0,333,2323.0,A Python library for learning and evaluating knowledge graph embeddings.,18.0,19,True,2021-03-04 16:07:36.000000,1.4.0,35.0,pykeen,,,,,2.0,,https://pypi.org/project/pykeen,2021-02-15 14:13:30.000000,2.0,181.0,189.0,,,,,,,,3.0,79.0,,,,,,,,,,,,,,,,,,,,,\n667,MXBoard,awslabs/mxboard,,ml-experiments,https://github.com/awslabs/mxboard,https://github.com/awslabs/mxboard,Apache-2.0,2018-02-06 23:03:51.000000,2020-01-24 23:21:56.000000,2020-01-24 23:21:55.000000,46,16.0,15.0,330,42.0,Logging MXNet data for visualization in TensorBoard.,9.0,19,False,2018-05-22 20:25:51.000000,0.1.0,12.0,mxboard,,,,['mxnet'],110.0,98.0,https://pypi.org/project/mxboard,2018-05-22 20:25:51.000000,12.0,2252.0,2252.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n668,sklearn-evaluation,edublancas/sklearn-evaluation,,interpretability,https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2015-09-04 16:33:42.000000,2020-12-28 15:14:00.000000,2020-12-28 15:10:09.000000,25,8.0,27.0,293,504.0,\"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook..\",5.0,19,True,2020-12-28 15:14:25.000000,0.5.4,16.0,sklearn-evaluation,,,,['sklearn'],29.0,27.0,https://pypi.org/project/sklearn-evaluation,2020-12-28 15:13:44.000000,2.0,256.0,256.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n669,textpipe,textpipe/textpipe,,nlp,https://github.com/textpipe/textpipe,https://github.com/textpipe/textpipe,MIT,2018-06-21 16:23:32.000000,2021-03-08 08:23:38.000000,2021-01-25 14:01:56.000000,20,21.0,25.0,281,370.0,Textpipe: clean and extract metadata from text.,27.0,19,True,2021-01-25 14:05:21.000000,0.12.2,39.0,textpipe,,,,,8.0,7.0,https://pypi.org/project/textpipe,2021-01-25 14:05:21.000000,1.0,851.0,851.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n670,pandas-ml,pandas-ml/pandas-ml,,others,https://github.com/pandas-ml/pandas-ml,https://github.com/pandas-ml/pandas-ml,BSD-3-Clause,2015-02-21 03:14:04.000000,2020-08-14 12:29:33.000000,2019-03-05 01:36:55.000000,57,24.0,17.0,273,153.0,\"pandas, scikit-learn, xgboost and seaborn integration.\",4.0,19,False,2019-03-05 01:36:12.000000,0.6.1,9.0,pandas-ml,,,,\"['sklearn', 'pandas']\",10.0,,https://pypi.org/project/pandas-ml,2019-03-05 01:35:23.000000,10.0,1848.0,1848.0,,,,,,,,3.0,5.0,,,,,,,,,,,,,,,,,,,,,\n671,scikit-tda,scikit-tda/scikit-tda,,sklearn-utils,https://github.com/scikit-tda/scikit-tda,https://github.com/scikit-tda/scikit-tda,MIT,2018-04-13 21:00:31.000000,2021-01-09 19:51:04.000000,2021-01-09 19:50:05.000000,32,11.0,4.0,268,56.0,Topological Data Analysis for Python.,2.0,19,True,2021-01-09 19:51:04.000000,0.1.0,3.0,scikit-tda,,,,['sklearn'],19.0,19.0,https://pypi.org/project/scikit-tda,2021-01-09 19:51:04.000000,,3913.0,3913.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n672,Brainiak,brainiak/brainiak,,medical-data,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27.000000,2021-02-19 18:46:29.000000,2021-02-19 18:46:29.000000,106,63.0,119.0,233,390.0,Brain Imaging Analysis Kit.,32.0,19,True,2019-08-27 23:52:29.000000,0.9.1,15.0,brainiak,,brainiak/brainiak,,,13.0,12.0,https://pypi.org/project/brainiak,2020-10-15 20:45:08.000000,1.0,125.0,133.0,,,,https://hub.docker.com/r/brainiak/brainiak,2020-10-15 21:11:03.379549,1.0,504.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n673,pyfasttext,vrasneur/pyfasttext,,nlp,https://github.com/vrasneur/pyfasttext,https://github.com/vrasneur/pyfasttext,GPL-3.0,2017-06-30 18:44:42.000000,2018-12-08 15:32:09.000000,2018-12-08 15:02:12.000000,31,19.0,28.0,229,153.0,Yet another Python binding for fastText.,4.0,19,False,2018-12-08 15:32:09.000000,0.4.6,13.0,pyfasttext,,,,,155.0,142.0,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09.000000,13.0,1639.0,1646.0,,,,,,,,3.0,319.0,,,,,,,,,,,,,,,,,,,,,\n674,pymap3d,geospace-code/pymap3d,,geospatial-data,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03.000000,2021-03-10 09:45:56.743000,2021-03-10 04:08:23.000000,58,2.0,22.0,177,,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,8.0,19,True,2021-03-10 04:05:39.000000,2.5.1,46.0,pymap3d,conda-forge/pymap3d,,,,6.0,,https://pypi.org/project/pymap3d,2021-02-07 06:29:31.000000,6.0,14571.0,15162.0,https://anaconda.org/conda-forge/pymap3d,2021-03-10 09:45:56.743000,7098.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n675,gokart,m3dev/gokart,,ml-experiments,https://github.com/m3dev/gokart,https://github.com/m3dev/gokart,MIT,2018-12-23 07:40:27.000000,2021-02-20 05:47:51.000000,2021-02-16 05:33:50.000000,29,9.0,26.0,168,328.0,A wrapper of the data pipeline library luigi.,24.0,19,True,2021-01-29 04:20:56.000000,0.3.26,50.0,gokart,,,,,2.0,,https://pypi.org/project/gokart,2020-02-25 06:01:19.000000,2.0,468.0,468.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n676,Funsor,pyro-ppl/funsor,,probabilistics,https://github.com/pyro-ppl/funsor,https://github.com/pyro-ppl/funsor,Apache-2.0,2019-01-30 23:13:39.000000,2021-03-11 01:30:24.000000,2021-03-06 21:07:57.000000,15,70.0,66.0,164,507.0,Functional tensors for probabilistic programming.,9.0,19,True,2021-01-24 17:27:54.000000,0.4.0,6.0,funsor,,,,['pytorch'],10.0,10.0,https://pypi.org/project/funsor,2021-01-24 17:26:50.000000,0.0,150.0,150.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n677,Glow,projectglow/glow,,medical-data,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47.000000,2021-02-26 14:09:43.000000,2021-02-26 14:09:43.000000,43,19.0,54.0,159,316.0,An open-source toolkit for large-scale genomic analysis.,11.0,19,True,2021-02-09 17:45:43.000000,1.0.0,10.0,glow.py,,,,,,,https://pypi.org/project/glow.py,2021-02-08 22:11:48.000000,,3173.0,3173.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n678,graph-nets,deepmind/graph_nets,,graph,https://github.com/deepmind/graph_nets,https://github.com/deepmind/graph_nets,Apache-2.0,2018-08-31 08:19:28.000000,2020-12-04 17:43:48.000000,2020-12-04 17:43:47.000000,728,6.0,108.0,4811,47.0,Build Graph Nets in Tensorflow.,10.0,18,True,2020-01-29 16:00:25.000000,1.1.0,7.0,graph-nets,,,,['tensorflow'],7.0,,https://pypi.org/project/graph-nets,2020-01-29 16:00:25.000000,7.0,530.0,530.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n679,vit-pytorch,lucidrains/vit-pytorch,,image,https://github.com/lucidrains/vit-pytorch,https://github.com/lucidrains/vit-pytorch,MIT,2020-10-03 22:47:24.000000,2021-03-10 03:23:09.000000,2021-03-10 03:23:09.000000,294,28.0,46.0,2910,,\"Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single..\",5.0,18,True,2021-03-08 15:29:18.000000,0.8.0,34.0,vit-pytorch,,,,['pytorch'],9.0,9.0,https://pypi.org/project/vit-pytorch,2021-03-08 15:29:18.000000,,1065.0,1065.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n680,BytePS,bytedance/byteps,,distributed-ml,https://github.com/bytedance/byteps,https://github.com/bytedance/byteps,Apache-2.0,2019-06-25 07:00:13.000000,2021-03-02 16:19:29.000000,2021-02-17 07:35:29.000000,371,76.0,142.0,2736,413.0,A high performance and generic framework for distributed DNN training.,18.0,18,True,2020-08-27 15:42:13.000000,0.2.4,7.0,byteps,,bytepsimage/tensorflow,,,,,https://pypi.org/project/byteps,2020-11-04 00:05:46.000000,,66.0,115.0,,,,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,1045.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n681,Crypto Signals,CryptoSignal/crypto-signal,,financial-data,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24.000000,2021-03-10 16:48:38.000000,2020-09-03 12:26:48.000000,725,40.0,192.0,2729,563.0,\"Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 2,100 + stars, 580 + forks.\",25.0,18,True,,,,,,shadowreaver/crypto-signal,,,,,,,,,1016.0,,,,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133,8.0,42699.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n682,Kashgari,BrikerMan/Kashgari,,nlp,https://github.com/BrikerMan/Kashgari,https://github.com/BrikerMan/Kashgari,Apache-2.0,2019-01-19 01:53:28.000000,2020-12-09 02:13:33.000000,2020-10-29 08:08:00.000000,386,36.0,306.0,2047,,Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-..,19.0,18,True,2020-10-30 12:37:01.000000,2.0.1,23.0,kashgari-tf,,,,['tensorflow'],25.0,23.0,https://pypi.org/project/kashgari-tf,2019-10-18 07:57:55.000000,2.0,67.0,67.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n683,spark-deep-learning,databricks/spark-deep-learning,,data-pipelines,https://github.com/databricks/spark-deep-learning,https://github.com/databricks/spark-deep-learning,Apache-2.0,2017-05-31 17:30:28.000000,2021-01-20 15:05:13.000000,2021-01-20 15:00:20.000000,445,73.0,27.0,1814,135.0,Deep Learning Pipelines for Apache Spark.,15.0,18,True,2020-01-08 19:50:31.000000,1.6.0,9.0,,,,,['spark'],16.0,16.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n684,Mara Pipelines,mara/mara-pipelines,,data-pipelines,https://github.com/mara/mara-pipelines,https://github.com/mara/mara-pipelines,MIT,2018-03-31 20:37:22.000000,2021-03-08 23:02:36.000000,2021-03-08 23:02:33.000000,80,11.0,12.0,1638,134.0,\"A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow.\",16.0,18,True,2021-01-23 22:34:03.000000,3.1.2,7.0,mara-pipelines,,,,,7.0,7.0,https://pypi.org/project/mara-pipelines,2021-01-23 22:34:03.000000,,24.0,24.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n685,Antialiased CNNs,adobe/antialiased-cnns,,pytorch-utils,https://github.com/adobe/antialiased-cnns,https://github.com/adobe/antialiased-cnns,CC BY-NC-SA 4.0,2019-05-14 20:51:25.000000,2021-03-01 18:01:57.000000,2020-10-22 19:40:07.000000,176,9.0,29.0,1361,238.0,pip install antialiased-cnns to improve stability and accuracy.,6.0,18,False,2020-10-23 22:45:52.000000,0.3,6.0,antialiased-cnns,,,,['pytorch'],,,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49.000000,,742.0,742.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n686,doc2text,jlsutherland/doc2text,,ocr,https://github.com/jlsutherland/doc2text,https://github.com/jlsutherland/doc2text,MIT,2016-08-28 19:30:02.000000,2020-12-01 22:56:27.000000,2020-12-01 22:56:26.000000,92,12.0,9.0,1228,62.0,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,5.0,18,True,2016-09-06 21:59:21.000000,0.2.4,5.0,doc2text,,,,,35.0,35.0,https://pypi.org/project/doc2text,2016-09-06 21:59:21.000000,,194.0,194.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n687,TaskTiger,closeio/tasktiger,,data-pipelines,https://github.com/closeio/tasktiger,https://github.com/closeio/tasktiger,MIT,2015-05-14 00:26:32.000000,2021-02-24 17:55:46.000000,2021-02-17 17:06:00.000000,58,30.0,31.0,1049,252.0,Python task queue using Redis.,19.0,18,True,2019-10-29 19:32:58.000000,0.10.1,22.0,tasktiger,,,,,38.0,20.0,https://pypi.org/project/tasktiger,2020-06-18 22:08:56.000000,18.0,124.0,124.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n688,Norfair,tryolabs/norfair,,image,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000000,2021-02-18 17:02:36.000000,2021-02-18 17:02:20.000000,58,5.0,16.0,922,259.0,Lightweight Python library for adding real-time 2D object tracking to any detector.,7.0,18,True,2021-02-17 21:29:11.000000,0.2.0,10.0,norfair,,,,,,,https://pypi.org/project/norfair,2021-02-17 21:29:11.000000,,434.0,434.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n689,Databolt Flow,d6t/d6tflow,,data-pipelines,https://github.com/d6t/d6tflow,https://github.com/d6t/d6tflow,MIT,2019-02-03 01:51:22.000000,2021-03-05 17:59:09.000000,2020-12-19 21:46:11.000000,66,8.0,11.0,902,106.0,Python library for building highly effective data science workflows.,10.0,18,True,2020-12-19 22:37:20.000000,0.2.2,19.0,d6tflow,,,,,13.0,13.0,https://pypi.org/project/d6tflow,2020-12-19 22:37:20.000000,,59.0,59.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n690,Fiber,uber/fiber,,distributed-ml,https://github.com/uber/fiber,https://github.com/uber/fiber,Apache-2.0,2020-01-07 18:16:24.000000,2021-03-09 07:23:06.000000,2021-03-09 07:23:06.000000,92,12.0,8.0,860,65.0,Distributed Computing for AI Made Simple.,5.0,18,True,2020-07-09 03:28:28.000000,0.2.1,6.0,fiber,,,,,23.0,22.0,https://pypi.org/project/fiber,2020-07-09 03:28:28.000000,1.0,842.0,842.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n691,advertorch,BorealisAI/advertorch,,adversarial,https://github.com/BorealisAI/advertorch,https://github.com/BorealisAI/advertorch,GPL-3.0,2018-11-29 22:17:33.000000,2021-02-26 11:22:02.000000,2020-06-15 01:16:18.000000,131,13.0,28.0,820,270.0,A Toolbox for Adversarial Robustness Research.,16.0,18,False,2020-06-15 01:20:07.000000,0.2.3,10.0,advertorch,,,,['pytorch'],35.0,32.0,https://pypi.org/project/advertorch,2020-06-15 01:20:07.000000,3.0,699.0,699.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n692,TensorFrames,databricks/tensorframes,,distributed-ml,https://github.com/databricks/tensorframes,https://github.com/databricks/tensorframes,Apache-2.0,2016-03-04 19:25:19.000000,2020-11-13 17:47:02.000000,2019-11-15 21:43:53.000000,158,51.0,43.0,768,221.0,[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark.,16.0,18,False,2018-11-16 20:50:02.000000,0.6.0,6.0,tensorframes,,,,\"['tensorflow', 'spark']\",1.0,,https://pypi.org/project/tensorframes,2018-05-16 14:20:28.000000,1.0,4301.0,4301.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n693,tffm,geffy/tffm,,tensorflow-utils,https://github.com/geffy/tffm,https://github.com/geffy/tffm,MIT,2016-05-02 17:06:07.000000,2020-05-22 21:40:58.000000,2020-05-22 21:40:57.000000,174,17.0,20.0,760,106.0,TensorFlow implementation of an arbitrary order Factorization Machine.,10.0,18,True,2018-01-27 11:43:26.000000,1.0.1,2.0,tffm,,,,['tensorflow'],11.0,10.0,https://pypi.org/project/tffm,2018-01-27 11:43:26.000000,1.0,950.0,950.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n694,pytorch2keras,nerox8664/pytorch2keras,,model-serialisation,https://github.com/nerox8664/pytorch2keras,https://github.com/nerox8664/pytorch2keras,MIT,2017-11-16 20:21:43.000000,2020-05-14 10:03:56.000000,2020-05-14 10:03:04.000000,112,43.0,66.0,672,277.0,PyTorch to Keras model convertor.,11.0,18,True,2020-05-14 10:03:56.000000,0.2.4,23.0,pytorch2keras,,,,,20.0,19.0,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56.000000,1.0,419.0,419.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n695,Hivemind,learning-at-home/hivemind,,distributed-ml,https://github.com/learning-at-home/hivemind,https://github.com/learning-at-home/hivemind,MIT,2020-02-27 13:50:19.000000,2021-03-10 17:58:27.000000,2021-03-08 20:34:49.000000,39,24.0,24.0,660,310.0,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,11.0,18,True,2021-03-05 13:41:38.000000,0.9.5,7.0,hivemind,,,,,3.0,2.0,https://pypi.org/project/hivemind,2021-03-05 13:41:38.000000,1.0,52.0,52.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n696,matrixprofile-ts,target/matrixprofile-ts,,time-series-data,https://github.com/target/matrixprofile-ts,https://github.com/target/matrixprofile-ts,Apache-2.0,2018-09-10 19:03:34.000000,2020-04-25 18:38:20.000000,2020-04-25 18:37:42.000000,92,19.0,34.0,617,198.0,A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile.,15.0,18,True,2019-08-08 01:24:38.000000,0.0.9,9.0,matrixprofile-ts,,,,,12.0,12.0,https://pypi.org/project/matrixprofile-ts,2019-08-08 01:24:38.000000,,1032.0,1032.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n697,vecstack,vecxoz/vecstack,,others,https://github.com/vecxoz/vecstack,https://github.com/vecxoz/vecstack,MIT,2016-11-08 13:23:21.000000,2020-09-14 08:31:07.000000,2019-10-30 09:27:48.000000,66,1.0,34.0,587,189.0,Python package for stacking (machine learning technique).,1.0,18,False,2019-08-12 16:09:01.000000,0.4.0,6.0,vecstack,,,,,120.0,112.0,https://pypi.org/project/vecstack,2019-08-12 16:01:22.000000,8.0,1001.0,1001.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n698,SKLL,EducationalTestingService/skll,,ml-experiments,https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,BSD-1-Clause,2013-08-02 14:31:46.000000,2021-03-10 16:04:05.000000,2021-03-06 16:54:13.000000,64,36.0,347.0,522,,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,35.0,18,False,2021-02-26 03:01:01.000000,2.5,64.0,skll,,,,['sklearn'],47.0,30.0,https://pypi.org/project/skll,2020-03-13 16:23:35.000000,17.0,232.0,232.0,,,,,,,,3.0,10.0,,,,,,,,,,,,,,,,,,,,,\n699,robustness,MadryLab/robustness,,adversarial,https://github.com/MadryLab/robustness,https://github.com/MadryLab/robustness,MIT,2019-08-21 09:26:33.000000,2021-03-11 01:39:26.000000,2021-03-04 15:19:19.000000,89,6.0,50.0,493,139.0,\"A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.\",12.0,18,True,2020-12-01 06:11:12.000000,1.2.1.post2,10.0,robustness,,,,,42.0,40.0,https://pypi.org/project/robustness,2020-12-01 06:21:33.000000,2.0,229.0,229.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n700,pyhsmm,mattjj/pyhsmm,,probabilistics,https://github.com/mattjj/pyhsmm,https://github.com/mattjj/pyhsmm,MIT,2012-03-18 17:40:13.000000,2020-09-29 20:58:26.000000,2020-08-24 17:03:59.000000,148,34.0,60.0,484,1426.0,Bayesian inference in HSMMs and HMMs.,13.0,18,True,2017-05-10 17:14:37.000000,0.1.7,8.0,pyhsmm,,,,,26.0,18.0,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37.000000,8.0,45.0,45.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n701,TF Compression,tensorflow/compression,,tensorflow-utils,https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19.000000,2021-03-11 09:05:35.000000,2021-03-11 09:02:47.000000,161,,58.0,454,157.0,Data compression in TensorFlow.,9.0,18,True,2021-03-11 09:05:35.000000,2.1,10.0,tensorflow-compression,,,,['tensorflow'],1.0,,https://pypi.org/project/tensorflow-compression,2021-03-11 09:00:48.000000,1.0,430.0,430.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n702,tcav,tensorflow/tcav,,interpretability,https://github.com/tensorflow/tcav,https://github.com/tensorflow/tcav,Apache-2.0,2018-07-03 17:45:35.000000,2021-02-23 16:17:42.000000,2021-02-23 16:16:33.000000,101,2.0,43.0,439,156.0,Code for the TCAV ML interpretability project.,17.0,18,True,2021-02-23 16:17:42.000000,0.2.2,4.0,tcav,,,,['tensorflow'],8.0,6.0,https://pypi.org/project/tcav,2021-02-23 16:17:42.000000,2.0,37.0,37.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n703,PyWaffle,gyli/PyWaffle,,data-viz,https://github.com/gyli/PyWaffle,https://github.com/gyli/PyWaffle,MIT,2017-11-14 20:03:47.000000,2020-07-26 23:22:17.000000,2020-07-26 23:22:13.000000,63,2.0,10.0,405,249.0,Make Waffle Charts in Python.,6.0,18,True,2020-07-26 19:16:45.000000,0.6.1,22.0,pywaffle,,,,,42.0,42.0,https://pypi.org/project/pywaffle,2020-07-26 19:16:45.000000,,674.0,674.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n704,Orbit,uber/orbit,,probabilistics,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000000,2021-03-10 17:50:57.000000,2021-03-03 03:46:39.000000,22,19.0,164.0,341,586.0,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,7.0,18,True,2021-02-19 16:42:02.000000,1.0.12,11.0,orbit-ml,,,,,4.0,4.0,https://pypi.org/project/orbit-ml,2021-02-19 16:42:02.000000,,119.0,119.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n705,Camphr,PKSHATechnology-Research/camphr,,nlp,https://github.com/PKSHATechnology-Research/camphr,https://github.com/PKSHATechnology-Research/camphr,Apache-2.0,2020-02-10 03:39:58.000000,2021-03-10 07:58:41.000000,2021-03-09 04:48:39.000000,17,12.0,21.0,327,1223.0,\"spaCy plugin for Transformers , Udify, ELmo, etc.\",7.0,18,True,2021-03-05 10:59:35.000000,0.8.8,45.0,camphr,,,,['spacy'],0.0,,https://pypi.org/project/camphr,2021-03-05 10:59:35.000000,0.0,385.0,385.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n706,AutoViz,AutoViML/AutoViz,,data-viz,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06.000000,2020-12-21 03:22:01.000000,2020-12-21 03:21:52.000000,55,6.0,16.0,306,97.0,\"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..\",10.0,18,True,2020-12-10 02:33:19.000000,0.0.81,26.0,autoviz,,,,,31.0,31.0,https://pypi.org/project/autoviz,2020-12-10 02:33:19.000000,,880.0,880.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n707,apricot,jmschrei/apricot,,others,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12.000000,2021-02-18 03:37:56.000000,2021-02-18 03:37:55.000000,29,3.0,12.0,306,167.0,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,2.0,18,True,2020-09-28 07:19:15.000000,0.6.0,13.0,apricot-select,,,,,14.0,14.0,https://pypi.org/project/apricot-select,2020-09-28 07:19:15.000000,0.0,242.0,242.0,,,,,,,,3.0,8.0,,,,,,,,,,,,,,,,,,,,,\n708,sk-dist,Ibotta/sk-dist,,distributed-ml,https://github.com/Ibotta/sk-dist,https://github.com/Ibotta/sk-dist,Apache-2.0,2019-08-14 21:07:17.000000,2021-03-01 23:05:15.000000,2021-03-01 23:05:11.000000,44,7.0,9.0,259,47.0,Distributed scikit-learn meta-estimators in PySpark.,6.0,18,True,2020-05-14 22:20:14.000000,0.1.9,12.0,sk-dist,,,,\"['sklearn', 'spark']\",8.0,6.0,https://pypi.org/project/sk-dist,2020-05-14 22:20:14.000000,2.0,2699.0,2699.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n709,recmetrics,statisticianinstilettos/recmetrics,,recommender-systems,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49.000000,2020-12-03 21:21:02.000000,2020-12-03 21:21:00.000000,57,3.0,7.0,241,233.0,A library of metrics for evaluating recommender systems.,12.0,18,True,2019-03-05 04:11:15.000000,0.0.12,14.0,recmetrics,,,,,16.0,16.0,https://pypi.org/project/recmetrics,2019-03-05 04:11:15.000000,,534.0,534.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n710,DeepGraph,deepgraph/deepgraph,,graph,https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45.000000,2021-01-15 08:36:25.609000,2020-10-01 13:17:00.000000,34,7.0,5.0,230,160.0,Analyze Data with Pandas-based Networks. Documentation:.,2.0,18,True,2020-10-01 13:20:38.000000,0.2.3,13.0,deepgraph,conda-forge/deepgraph,,,['pandas'],1.0,1.0,https://pypi.org/project/deepgraph,2020-10-01 13:18:38.000000,,260.0,2196.0,https://anaconda.org/conda-forge/deepgraph,2021-01-15 08:36:25.609000,83274.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n711,somoclu,peterwittek/somoclu,,distributed-ml,https://github.com/peterwittek/somoclu,https://github.com/peterwittek/somoclu,MIT,2013-01-16 06:33:16.000000,2020-10-13 18:39:07.609000,2020-07-24 13:00:47.000000,55,26.0,103.0,224,590.0,\"Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters.\",17.0,18,True,2018-03-03 02:44:37.000000,1.7.5,17.0,somoclu,conda-forge/somoclu,,,,4.0,,https://pypi.org/project/somoclu,2020-04-25 05:33:32.000000,4.0,407.0,1415.0,https://anaconda.org/conda-forge/somoclu,2020-10-13 18:39:07.609000,42569.0,,,,,3.0,1449.0,,,,,,,,,,,,,,,,,,,,,\n712,ivis,beringresearch/ivis,,data-viz,https://github.com/beringresearch/ivis,https://github.com/beringresearch/ivis,GPL-2.0,2018-08-13 08:31:01.000000,2021-01-20 11:32:35.000000,2021-01-20 11:32:25.000000,20,4.0,41.0,223,517.0,Dimensionality reduction in very large datasets using Siamese Networks.,7.0,18,False,2021-01-06 17:09:59.000000,2.0.1,27.0,ivis,,,,['tensorflow'],14.0,14.0,https://pypi.org/project/ivis,2021-01-06 17:07:15.000000,0.0,194.0,194.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n713,FiftyOne,voxel51/fiftyone,,data-viz,https://github.com/voxel51/fiftyone,https://github.com/voxel51/fiftyone,Apache-2.0,2020-04-22 13:43:28.000000,2021-03-11 15:05:40.000000,2021-03-09 21:41:37.000000,19,134.0,225.0,217,5467.0,\"Visualize, create, and debug image and video datasets and model predictions.\",10.0,18,True,2021-03-03 02:38:33.000000,0.7.4,45.0,fiftyone,,,,\"['tensorflow', 'pytorch', 'jupyter']\",,,https://pypi.org/project/fiftyone,2021-03-03 02:38:33.000000,,321.0,321.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n714,skift,shaypal5/skift,,nlp,https://github.com/shaypal5/skift,https://github.com/shaypal5/skift,MIT,2018-02-03 11:37:21.000000,2021-01-19 11:35:21.000000,2021-01-19 11:35:09.000000,22,2.0,8.0,213,127.0,scikit-learn wrappers for Python fastText.,6.0,18,True,2020-08-27 15:01:05.000000,0.0.19,15.0,skift,,,,['sklearn'],8.0,8.0,https://pypi.org/project/skift,2020-08-27 15:01:05.000000,,2342.0,2342.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n715,Auto TS,AutoViML/Auto_TS,,time-series-data,https://github.com/AutoViML/Auto_TS,https://github.com/AutoViML/Auto_TS,Apache-2.0,2020-02-15 15:23:32.000000,2021-03-01 19:18:24.000000,2021-01-24 03:17:19.000000,36,9.0,26.0,190,230.0,\"Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of..\",5.0,18,True,2021-01-24 03:19:22.000000,0.0.35,14.0,auto-ts,,,,,,,https://pypi.org/project/auto-ts,2021-01-24 03:19:22.000000,,170.0,170.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n716,fairness-indicators,tensorflow/fairness-indicators,,interpretability,https://github.com/tensorflow/fairness-indicators,https://github.com/tensorflow/fairness-indicators,Apache-2.0,2019-09-30 22:56:45.000000,2021-03-10 16:57:17.000000,2021-03-09 20:05:51.000000,53,14.0,5.0,184,248.0,Tensorflow's Fairness Evaluation and Visualization Toolkit.,19.0,18,True,2021-03-09 20:20:07.000000,0.28.0,13.0,fairness-indicators,,,,\"['tensorflow', 'jupyter']\",,,https://pypi.org/project/fairness-indicators,2021-01-28 22:09:49.000000,,308.0,308.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n717,BatchFlow,analysiscenter/batchflow,,data-pipelines,https://github.com/analysiscenter/batchflow,https://github.com/analysiscenter/batchflow,Apache-2.0,2017-03-13 14:22:53.000000,2021-03-10 17:25:52.000000,2021-03-05 13:23:03.000000,36,46.0,57.0,156,4440.0,BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and..,29.0,18,True,2021-03-05 13:23:43.000000,0.5.0beta3,6.0,batchflow,,,,,,,https://pypi.org/project/batchflow,2021-03-05 13:45:58.000000,,43.0,43.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n718,flupy,olirice/flupy,,data-pipelines,https://github.com/olirice/flupy,https://github.com/olirice/flupy,MIT,2018-01-06 16:46:04.000000,2021-03-09 13:15:35.000000,2021-03-09 13:15:26.000000,9,,7.0,153,177.0,Fluent data pipelines for python and your shell.,4.0,18,True,2021-01-06 12:37:15.000000,1.1.6,34.0,flupy,,,,,0.0,,https://pypi.org/project/flupy,2021-01-06 12:37:15.000000,0.0,4372.0,4372.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n719,nvidia-ml-py3,nicolargo/nvidia-ml-py3,,gpu-utilities,https://github.com/nicolargo/nvidia-ml-py3,https://github.com/nicolargo/nvidia-ml-py3,BSD-3-Clause,2017-06-03 07:47:03.000000,2019-03-06 20:41:10.000000,2019-03-06 20:41:09.000000,14,2.0,,64,5.0,Python 3 Bindings for the NVIDIA Management Library.,2.0,18,False,2017-06-03 07:43:46.000000,7.352.0,1.0,nvidia-ml-py3,,,,,2986.0,2766.0,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46.000000,220.0,312808.0,312808.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n720,DeepMind Lab,deepmind/lab,,reinforcement-learning,https://github.com/deepmind/lab,https://github.com/deepmind/lab,GPL-2.0,2016-11-30 13:41:26.000000,2021-03-04 21:06:09.000000,2021-03-04 17:39:30.000000,1286,37.0,153.0,6412,481.0,A customisable 3D platform for agent-based AI research.,7.0,17,False,2020-12-07 11:26:33.000000,release-2020-12-07,8.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n721,ReAgent,facebookresearch/ReAgent,,reinforcement-learning,https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000000,2021-03-11 13:51:25.000000,2021-03-11 09:37:51.000000,385,20.0,74.0,2825,1118.0,\"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).\",88.0,17,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n722,Spotlight,maciejkula/spotlight,,recommender-systems,https://github.com/maciejkula/spotlight,https://github.com/maciejkula/spotlight,MIT,2017-06-25 18:52:19.000000,2020-11-15 08:21:28.000000,2020-02-09 21:03:48.000000,372,67.0,48.0,2435,299.0,Deep recommender models using PyTorch.,11.0,17,False,2019-09-08 10:19:53.000000,0.1.6,7.0,,maciejkula/spotlight,,,['pytorch'],,,,,,,134.0,https://anaconda.org/maciejkula/spotlight,2018-05-27 18:32:12.235000,6031.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n723,LIT,PAIR-code/lit,,interpretability,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000000,2021-03-11 05:47:38.000000,2020-11-17 00:43:10.000000,242,38.0,35.0,2403,,The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and..,10.0,17,True,2020-11-17 00:53:31.000000,0.2,4.0,lit-nlp,,,,,1.0,1.0,https://pypi.org/project/lit-nlp,2020-11-17 00:52:37.000000,,255.0,255.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n724,PaddleDetection,PaddlePaddle/PaddleDetection,,image,https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000000,2021-03-11 12:07:44.000000,2021-03-11 12:07:44.000000,659,350.0,915.0,2336,746.0,Object detection and instance segmentation toolkit based on PaddlePaddle.,49.0,17,True,2019-11-27 05:15:38.000000,0.1.0,1.0,,,,,['paddle'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n725,riko,nerevu/riko,,data-pipelines,https://github.com/nerevu/riko,https://github.com/nerevu/riko,MIT,2016-06-02 12:22:51.000000,2020-08-14 18:29:28.000000,2020-08-14 16:47:45.000000,72,22.0,8.0,1556,1257.0,A Python stream processing engine modeled after Yahoo! Pipes.,18.0,17,True,2020-08-14 18:29:28.000000,0.66.0,58.0,riko,,,,,1.0,,https://pypi.org/project/riko,2020-08-14 18:29:28.000000,1.0,59.0,59.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n726,NeuroNER,Franck-Dernoncourt/NeuroNER,,nlp,https://github.com/Franck-Dernoncourt/NeuroNER,https://github.com/Franck-Dernoncourt/NeuroNER,MIT,2017-03-07 01:24:15.000000,2020-11-13 18:07:48.000000,2019-10-02 23:26:11.000000,440,80.0,67.0,1542,132.0,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,7.0,17,False,2019-10-02 23:30:15.000000,1.0.8,7.0,pyneuroner,,,,,9.0,9.0,https://pypi.org/project/pyneuroner,2019-10-02 23:30:15.000000,,65.0,65.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n727,River,online-ml/river,,others,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000000,2021-03-11 15:16:43.000000,2021-03-10 09:56:10.000000,185,40.0,259.0,1446,3031.0,Online machine learning in Python.,60.0,17,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n728,BlazingSQL,BlazingDB/blazingsql,,gpu-utilities,https://github.com/BlazingDB/blazingsql,https://github.com/BlazingDB/blazingsql,Apache-2.0,2018-09-24 18:25:45.000000,2021-03-11 15:14:01.000000,2021-03-10 21:59:34.000000,132,256.0,355.0,1443,,\"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.\",40.0,17,True,2021-02-26 21:15:55.000000,0.18.0,16.0,,blazingsql/blazingsql-protocol,,,,,,,,,,50.0,https://anaconda.org/blazingsql/blazingsql-protocol,2019-11-11 19:54:17.621000,916.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n729,Advisor,tobegit3hub/advisor,,hyperopt,https://github.com/tobegit3hub/advisor,https://github.com/tobegit3hub/advisor,Apache-2.0,2017-09-14 03:50:33.000000,2019-11-11 07:09:57.869705,2019-11-11 06:59:31.000000,245,19.0,13.0,1357,165.0,Open-source implementation of Google Vizier for hyper parameters tuning.,11.0,17,False,2018-10-18 02:54:09.000000,0.1.6,4.0,advisor,,tobegit3hub/advisor,,,,,https://pypi.org/project/advisor,2018-10-18 02:54:09.000000,,41.0,78.0,,,,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1560.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n730,Backtesting.py,kernc/backtesting.py,,financial-data,https://github.com/kernc/backtesting.py,https://github.com/kernc/backtesting.py,AGPL-3.0,2019-01-02 03:11:32.000000,2021-02-10 02:19:32.000000,2021-02-10 02:19:13.000000,252,21.0,178.0,1087,219.0,Backtest trading strategies in Python.,8.0,17,False,2017-07-22 02:00:06.000000,0.0.1,1.0,backtesting,,,,,,,https://pypi.org/project/backtesting,2017-07-22 02:00:06.000000,,2245.0,2245.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n731,sklearn-porter,nok/sklearn-porter,,model-serialisation,https://github.com/nok/sklearn-porter,https://github.com/nok/sklearn-porter,MIT,2016-06-22 22:21:34.000000,2021-02-28 20:44:14.000000,2019-12-18 13:31:50.000000,129,39.0,29.0,1009,699.0,\"Transpile trained scikit-learn estimators to C, Java, JavaScript and others.\",11.0,17,False,2019-12-18 13:39:19.000000,0.7.4,20.0,sklearn-porter,,,,['sklearn'],1.0,,https://pypi.org/project/sklearn-porter,2019-12-18 13:39:19.000000,1.0,272.0,272.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n732,Paddle Graph Learning,PaddlePaddle/PGL,,graph,https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28.000000,2021-03-08 09:17:37.000000,2021-03-05 12:21:10.000000,123,17.0,29.0,921,,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,19.0,17,True,2021-02-02 13:17:55.000000,2.1.1,8.0,pgl,,,,['paddle'],11.0,9.0,https://pypi.org/project/pgl,2021-02-05 11:50:46.000000,2.0,125.0,125.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n733,Bounter,RaRe-Technologies/bounter,,data-containers,https://github.com/RaRe-Technologies/bounter,https://github.com/RaRe-Technologies/bounter,MIT,2017-07-18 07:24:15.000000,2020-08-17 06:37:51.000000,2020-08-16 11:55:16.000000,48,11.0,9.0,896,152.0,Efficient Counter that uses a limited (bounded) amount of memory regardless of data size.,8.0,17,True,2020-08-17 06:37:51.000000,1.1.1,7.0,bounter,,,,,34.0,20.0,https://pypi.org/project/bounter,2020-08-17 06:37:51.000000,14.0,113.0,113.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n734,Saliency,PAIR-code/saliency,,tensorflow-utils,https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35.000000,2021-03-10 20:07:25.000000,2020-10-01 22:54:59.000000,138,12.0,10.0,644,64.0,\"TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques.\",12.0,17,True,2019-09-26 17:59:23.000000,0.0.5,5.0,saliency,,,,['tensorflow'],16.0,14.0,https://pypi.org/project/saliency,2019-09-26 17:59:23.000000,2.0,89.0,89.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n735,sklearn-deap,rsteca/sklearn-deap,,hyperopt,https://github.com/rsteca/sklearn-deap,https://github.com/rsteca/sklearn-deap,MIT,2015-10-28 22:52:34.000000,2019-12-03 13:29:06.000000,2019-12-03 13:29:04.000000,107,21.0,31.0,632,98.0,Use evolutionary algorithms instead of gridsearch in scikit-learn.,20.0,17,False,2019-07-15 09:24:09.000000,0.2.4,13.0,sklearn-deap,,,,['sklearn'],26.0,24.0,https://pypi.org/project/sklearn-deap,2019-07-15 09:24:09.000000,2.0,320.0,320.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n736,ADTK,arundo/adtk,,time-series-data,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22.000000,2020-04-29 19:54:40.000000,2020-04-17 02:27:44.000000,78,22.0,30.0,611,78.0,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,11.0,17,True,2020-04-17 02:18:00.000000,0.6.2,13.0,adtk,,,,,,,https://pypi.org/project/adtk,2020-04-17 02:18:00.000000,,30945.0,30945.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n737,RLax,deepmind/rlax,,reinforcement-learning,https://github.com/deepmind/rlax,https://github.com/deepmind/rlax,Apache-2.0,2020-02-18 07:14:59.000000,2021-03-02 14:09:58.000000,2021-03-02 14:09:08.000000,44,3.0,4.0,570,106.0,A library of reinforcement learning building blocks in JAX.,10.0,17,True,2020-02-19 23:01:30.000000,0.1.0,3.0,rlax,,,,['jax'],12.0,12.0,https://pypi.org/project/rlax,2020-02-19 23:01:30.000000,,91.0,91.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n738,Dragonfly,dragonfly/dragonfly,,hyperopt,https://github.com/dragonfly/dragonfly,https://github.com/dragonfly/dragonfly,MIT,2018-04-20 22:19:50.000000,2020-07-26 17:44:31.000000,2020-07-03 18:01:17.000000,74,23.0,17.0,569,397.0,An open source python library for scalable Bayesian optimisation.,12.0,17,True,2020-07-03 18:05:12.000000,0.1.6,9.0,dragonfly-opt,,,,,2.0,,https://pypi.org/project/dragonfly-opt,2020-07-03 18:05:12.000000,2.0,6958.0,6958.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n739,Performer Pytorch,lucidrains/performer-pytorch,,pytorch-utils,https://github.com/lucidrains/performer-pytorch,https://github.com/lucidrains/performer-pytorch,MIT,2020-10-03 03:41:36.000000,2021-03-05 15:15:44.000000,2021-03-05 15:14:51.000000,70,21.0,33.0,536,,\"An implementation of Performer, a linear attention-based transformer, in Pytorch.\",4.0,17,True,2021-03-05 15:15:44.000000,0.15.1,62.0,performer-pytorch,,,,['pytorch'],12.0,12.0,https://pypi.org/project/performer-pytorch,2021-03-05 15:15:44.000000,0.0,717.0,717.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n740,Tensor Sensor,parrt/tensor-sensor,,pytorch-utils,https://github.com/parrt/tensor-sensor,https://github.com/parrt/tensor-sensor,MIT,2020-08-28 22:54:04.000000,2021-01-07 00:40:37.000000,2021-01-07 00:40:31.000000,24,5.0,12.0,531,155.0,The goal of this library is to generate more helpful exception messages for numpy/pytorch matrix algebra expressions.,2.0,17,True,2020-12-03 20:46:15.000000,0.1.1,34.0,tensor-sensor,,,,['pytorch'],2.0,2.0,https://pypi.org/project/tensor-sensor,2020-12-03 20:45:09.000000,,262.0,262.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n741,lightly,lightly-ai/lightly,,image,https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000000,2021-03-11 12:20:48.000000,2021-03-11 09:40:47.000000,22,28.0,63.0,427,352.0,A python library for self-supervised learning on images.,5.0,17,True,2021-03-11 12:18:24.000000,1.1.0,12.0,lightly,,,,['pytorch'],4.0,4.0,https://pypi.org/project/lightly,2021-03-11 11:30:02.000000,0.0,104.0,104.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n742,Vulkan Kompute,EthicalML/vulkan-kompute,,gpu-utilities,https://github.com/EthicalML/vulkan-kompute,https://github.com/EthicalML/vulkan-kompute,Apache-2.0,2020-07-29 05:23:33.000000,2021-03-09 22:12:02.000000,2021-03-07 14:45:31.000000,27,44.0,81.0,348,766.0,\"General purpose GPU compute framework for cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast,..\",9.0,17,True,2021-01-31 12:01:30.000000,0.6.0,10.0,kp,,,,,2.0,2.0,https://pypi.org/project/kp,2021-01-31 12:02:25.000000,,54.0,60.0,,,,,,,,3.0,46.0,,,,,,,,,,,,,,,,,,,,,\n743,tick,X-DataInitiative/tick,,time-series-data,https://github.com/X-DataInitiative/tick,https://github.com/X-DataInitiative/tick,BSD-3-Clause,2016-12-01 10:59:08.000000,2020-08-11 12:36:43.000000,2020-06-15 12:01:36.000000,74,55.0,159.0,325,413.0,\"Module for statistical learning, with a particular emphasis on time-dependent modelling.\",16.0,17,True,2019-09-11 11:25:15.000000,0.6,23.0,tick,,,,,31.0,30.0,https://pypi.org/project/tick,2020-05-24 22:01:17.000000,1.0,381.0,384.0,,,,,,,,3.0,157.0,,,,,,,,,,,,,,,,,,,,,\n744,Baal,ElementAI/baal,,probabilistics,https://github.com/ElementAI/baal,https://github.com/ElementAI/baal,Apache-2.0,2019-09-30 20:16:26.000000,2021-03-08 20:52:52.000000,2021-03-05 17:51:59.000000,29,12.0,27.0,324,102.0,Using approximate bayesian posteriors in deep nets for active learning.,8.0,17,True,2020-11-03 21:14:13.000000,1.2.1,7.0,baal,,,,,7.0,7.0,https://pypi.org/project/baal,2020-11-03 21:07:08.000000,,105.0,105.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n745,ExplainX.ai,explainX/explainx,,interpretability,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15.000000,2021-02-07 11:06:21.000000,2021-02-02 09:03:57.000000,30,10.0,15.0,192,184.0,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,4.0,17,True,2021-02-07 11:06:21.000000,2.407,56.0,explainx,,,,,,,https://pypi.org/project/explainx,2021-02-04 16:44:24.000000,,339.0,339.0,,,,,,,,3.0,1.0,,,,,,,,,,,,,,,,,,,,,\n746,imodels,csinva/imodels,,interpretability,https://github.com/csinva/imodels,https://github.com/csinva/imodels,MIT,2019-07-04 15:38:48.000000,2021-03-11 11:00:27.000000,2021-03-11 07:57:20.000000,16,,9.0,189,247.0,\"Interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible).\",3.0,17,True,2021-02-17 20:20:37.000000,0.2.7,7.0,imodels,,,,,6.0,6.0,https://pypi.org/project/imodels,2021-02-17 20:19:07.000000,,111.0,111.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n747,elegy,poets-ai/elegy,,ml-frameworks,https://github.com/poets-ai/elegy,https://github.com/poets-ai/elegy,Apache-2.0,2020-06-30 14:00:37.000000,2021-03-10 19:03:06.000000,2021-03-10 19:03:01.000000,11,21.0,36.0,185,298.0,Elegy is a framework-agnostic Trainer interface for the Jax ecosystem.,13.0,17,True,2021-03-10 18:59:02.000000,0.7.2,21.0,elegy,,,,\"['tensorflow', 'jax']\",,,https://pypi.org/project/elegy,2021-03-01 22:47:33.000000,,228.0,228.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n748,Muda,bmcfee/muda,,audio,https://github.com/bmcfee/muda,https://github.com/bmcfee/muda,ISC,2014-11-07 21:21:22.000000,2020-09-01 19:21:10.000000,2020-07-20 20:00:17.000000,31,5.0,44.0,177,291.0,A library for augmenting annotated audio data.,6.0,17,True,2019-11-15 15:46:21.000000,0.4.1,11.0,muda,,,,,10.0,9.0,https://pypi.org/project/muda,2019-11-15 15:46:21.000000,1.0,63.0,63.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n749,Larq Compute Engine,larq/compute-engine,,model-serialisation,https://github.com/larq/compute-engine,https://github.com/larq/compute-engine,Apache-2.0,2019-08-29 15:02:43.000000,2021-03-04 09:30:33.000000,2021-03-04 09:30:32.000000,21,22.0,90.0,132,458.0,Highly optimized inference engine for Binarized Neural Networks.,15.0,17,False,2021-01-30 03:07:11.000000,0.5.0,12.0,larq-compute-engine,,,,,1.0,1.0,https://pypi.org/project/larq-compute-engine,2021-01-30 03:07:11.000000,,449.0,463.0,,,,,,,,3.0,189.0,,,,,,,,,,,,,,,,,,,,,\n750,dabl,amueller/dabl,,sklearn-utils,https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49.000000,2021-02-27 01:32:09.000000,2020-07-08 16:14:41.000000,7,1.0,,69,252.0,Data Analysis Baseline Library.,18.0,17,False,2021-02-27 01:25:17.000000,0.2.0,11.0,dabl,,,,['sklearn'],,,https://pypi.org/project/dabl,2021-02-27 01:25:17.000000,,1186.0,1186.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n751,automl-gs,minimaxir/automl-gs,,hyperopt,https://github.com/minimaxir/automl-gs,https://github.com/minimaxir/automl-gs,MIT,2019-01-13 18:57:44.000000,2019-10-22 11:20:40.000000,2019-04-05 06:48:14.000000,157,26.0,6.0,1727,102.0,\"Provide an input CSV and a target field to predict, generate a model + code to run it.\",7.0,16,False,2019-04-05 06:51:04.000000,0.2.1,2.0,automl_gs,,,,,,,https://pypi.org/project/automl_gs,2019-04-05 06:47:54.000000,,25.0,25.0,,,,,,,,3.0,21.0,,,,,,,,,,,,,,,,,,,,,\n752,Xcessiv,reiinakano/xcessiv,,hyperopt,https://github.com/reiinakano/xcessiv,https://github.com/reiinakano/xcessiv,Apache-2.0,2017-03-07 18:18:25.000000,2018-06-06 22:23:37.000000,2017-08-21 00:51:15.000000,109,22.0,13.0,1258,316.0,\"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.\",6.0,16,False,2017-08-21 00:53:25.000000,0.5.1,34.0,xcessiv,,,,,2.0,1.0,https://pypi.org/project/xcessiv,2017-08-21 00:49:41.000000,1.0,63.0,63.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n753,Botflow,kkyon/botflow,,data-pipelines,https://github.com/kkyon/botflow,https://github.com/kkyon/botflow,BSD-3-Clause,2018-08-20 03:13:31.000000,2020-12-31 09:03:22.000000,2019-05-23 14:40:50.000000,98,2.0,2.0,1162,192.0,\"Python Fast Dataflow programming framework for Data pipeline work( Web Crawler,Machine Learning,Quantitative..\",11.0,16,False,2018-09-14 14:38:32.000000,0.2.0,5.0,botflow,,,,,1.0,1.0,https://pypi.org/project/botflow,2018-09-14 14:38:32.000000,,25.0,25.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n754,AdvBox,advboxes/AdvBox,,adversarial,https://github.com/advboxes/AdvBox,https://github.com/advboxes/AdvBox,Apache-2.0,2018-08-08 08:55:41.000000,2020-11-13 17:59:22.000000,2020-08-26 22:59:41.000000,225,6.0,28.0,1054,374.0,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,19.0,16,True,2018-12-05 02:48:50.000000,0.4.1,2.0,advbox,,,,,,,https://pypi.org/project/advbox,2018-12-05 02:48:50.000000,,21.0,21.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n755,CrypTen,facebookresearch/CrypTen,,privacy-ml,https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000000,2021-03-10 01:33:56.000000,2021-02-25 23:27:19.000000,104,28.0,33.0,729,237.0,A framework for Privacy Preserving Machine Learning.,23.0,16,True,2020-04-21 13:59:37.000000,0.1,1.0,crypten,,,,['pytorch'],6.0,6.0,https://pypi.org/project/crypten,2020-02-05 18:53:03.000000,,90.0,90.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n756,cuGraph,rapidsai/cugraph,,gpu-utilities,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000000,2021-03-11 03:27:22.000000,2021-03-10 16:18:02.000000,144,93.0,505.0,674,,cuGraph - RAPIDS Graph Analytics Library.,59.0,16,True,2021-02-24 21:42:05.000000,0.18.0,6.0,cugraph,,,,,0.0,,https://pypi.org/project/cugraph,2020-06-01 20:09:06.000000,0.0,29.0,29.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n757,HyperparameterHunter,HunterMcGushion/hyperparameter_hunter,,hyperopt,https://github.com/HunterMcGushion/hyperparameter_hunter,https://github.com/HunterMcGushion/hyperparameter_hunter,MIT,2018-06-01 23:17:00.000000,2021-01-20 03:52:41.000000,2021-01-20 03:52:40.000000,84,37.0,84.0,648,1096.0,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries.,4.0,16,True,2019-08-06 09:09:45.000000,3.0.0,16.0,hyperparameter-hunter,,,,,2.0,,https://pypi.org/project/hyperparameter-hunter,2019-08-06 08:52:20.000000,2.0,34.0,42.0,,,,,,,,3.0,268.0,,,,,,,,,,,,,,,,,,,,,\n758,SpeedTorch,Santosh-Gupta/SpeedTorch,,gpu-utilities,https://github.com/Santosh-Gupta/SpeedTorch,https://github.com/Santosh-Gupta/SpeedTorch,MIT,2019-09-07 18:57:52.000000,2020-02-21 23:13:29.000000,2020-02-21 23:13:28.000000,37,3.0,2.0,615,170.0,Library for faster pinned CPU - GPU transfer in Pytorch.,3.0,16,False,2020-01-06 05:27:17.000000,0.1.6,14.0,SpeedTorch,,,,['pytorch'],5.0,3.0,https://pypi.org/project/SpeedTorch,2020-01-06 05:27:17.000000,2.0,43.0,43.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n759,XAI,EthicalML/xai,,interpretability,https://github.com/EthicalML/xai,https://github.com/EthicalML/xai,MIT,2019-01-11 20:00:09.000000,2019-10-05 10:34:58.000000,2019-10-05 10:34:50.000000,87,4.0,3.0,591,83.0,XAI - An eXplainability toolbox for machine learning.,2.0,16,False,2019-04-21 14:53:12.000000,0.0.5,5.0,xai,,,,,16.0,10.0,https://pypi.org/project/xai,2019-04-21 14:53:12.000000,6.0,231.0,231.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n760,ThunderGBM,Xtra-Computing/thundergbm,,ml-frameworks,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08.000000,2021-03-03 05:54:12.000000,2021-01-05 04:22:15.000000,72,20.0,26.0,584,606.0,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,10.0,16,True,2020-05-01 23:16:25.000000,0.3.16,24.0,thundergbm,,,,,,,https://pypi.org/project/thundergbm,2020-05-01 23:16:25.000000,,33.0,33.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n761,AlphaPy,ScottfreeLLC/AlphaPy,,hyperopt,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32.000000,2021-02-08 21:35:40.000000,2021-02-08 21:35:40.000000,125,8.0,29.0,561,409.0,\"Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost.\",3.0,16,True,2020-08-29 18:48:20.000000,2.5.0,25.0,alphapy,,,,,2.0,2.0,https://pypi.org/project/alphapy,2020-08-29 18:44:15.000000,,120.0,120.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n762,Auto Tune Models,HDI-Project/ATM,,hyperopt,https://github.com/HDI-Project/ATM,https://github.com/HDI-Project/ATM,MIT,2016-10-14 18:03:00.000000,2020-02-21 17:44:07.000000,2020-02-21 17:40:58.000000,127,17.0,71.0,504,775.0,\"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).\",16.0,16,False,2019-07-30 09:28:26.000000,0.2.2,14.0,atm,,,,,6.0,6.0,https://pypi.org/project/atm,2019-07-30 09:25:11.000000,,22.0,22.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n763,DiCE,interpretml/DiCE,,interpretability,https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000000,2021-03-10 21:22:15.000000,2021-03-10 12:08:50.000000,71,13.0,19.0,483,354.0,Generate Diverse Counterfactual Explanations for any machine learning model.,10.0,16,True,2021-03-01 15:26:58.000000,0.5,3.0,dice-ml,,,,\"['tensorflow', 'pytorch']\",,,https://pypi.org/project/dice-ml,2021-03-01 15:44:45.000000,,135.0,135.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n764,kglib,graknlabs/kglib,,graph,https://github.com/graknlabs/kglib,https://github.com/graknlabs/kglib,Apache-2.0,2018-09-16 16:46:48.000000,2021-01-15 11:17:51.000000,2021-01-15 11:17:51.000000,75,10.0,49.0,403,487.0,Grakn Knowledge Graph Library (ML R&D).,7.0,16,True,2020-08-19 15:39:10.000000,0.2.2,7.0,grakn-kglib,,,,,,,https://pypi.org/project/grakn-kglib,2020-08-19 15:39:10.000000,,32.0,39.0,,,,,,,,3.0,206.0,,,,,,,,,,,,,,,,,,,,,\n765,pytorch_geometric_temporal,benedekrozemberczki/pytorch_geometric_temporal,,graph,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,MIT,2020-06-27 01:11:33.000000,2021-03-05 20:44:02.000000,2021-03-04 21:37:29.000000,44,1.0,16.0,372,861.0,A Temporal Extension Library for PyTorch Geometric.,3.0,16,True,2021-03-05 20:44:03.000000,_00015,15.0,torch-geometric-temporal,,,,['pytorch'],,,https://pypi.org/project/torch-geometric-temporal,2021-03-04 21:40:33.000000,,96.0,96.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n766,tfdeploy,riga/tfdeploy,,model-serialisation,https://github.com/riga/tfdeploy,https://github.com/riga/tfdeploy,BSD-3-Clause,2016-03-07 13:08:21.000000,2021-01-08 09:52:54.000000,2021-01-08 09:52:49.000000,38,10.0,23.0,346,170.0,Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.,4.0,16,True,2017-03-30 10:51:26.000000,0.4.2,22.0,tfdeploy,,,,['tensorflow'],2.0,,https://pypi.org/project/tfdeploy,2017-03-30 10:51:26.000000,2.0,60.0,60.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n767,Sematch,gsi-upm/sematch,,graph,https://github.com/gsi-upm/sematch,https://github.com/gsi-upm/sematch,Apache-2.0,2012-11-30 11:11:53.000000,2020-11-05 21:20:52.000000,2019-03-27 03:17:24.000000,98,14.0,19.0,341,122.0,semantic similarity framework for knowledge graph.,5.0,16,False,2017-04-17 10:56:52.000000,1.0.4,5.0,sematch,,,,,30.0,27.0,https://pypi.org/project/sematch,2017-04-17 10:56:52.000000,3.0,69.0,69.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n768,pdvega,altair-viz/pdvega,,data-viz,https://github.com/altair-viz/pdvega,https://github.com/altair-viz/pdvega,MIT,2018-01-11 21:30:27.000000,2019-03-29 16:09:14.000000,2019-03-29 16:09:13.000000,29,16.0,10.0,340,177.0,Interactive plotting for Pandas using Vega-Lite.,9.0,16,False,,,1.0,pdvega,,,,,55.0,48.0,https://pypi.org/project/pdvega,2018-02-01 04:56:43.000000,7.0,76.0,76.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n769,atspy,firmai/atspy,,time-series-data,https://github.com/firmai/atspy,https://github.com/firmai/atspy,MIT,2020-01-28 05:00:10.000000,2020-12-01 13:53:03.000000,2020-11-12 16:15:26.000000,64,17.0,2.0,339,97.0,AtsPy: Automated Time Series Models in Python (by @firmai).,5.0,16,True,2020-11-12 16:10:48.000000,zen,39.0,atspy,,,,,3.0,3.0,https://pypi.org/project/atspy,2020-04-24 18:16:15.000000,,356.0,356.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n770,datmo,datmo/datmo,,ml-experiments,https://github.com/datmo/datmo,https://github.com/datmo/datmo,MIT,2017-11-03 05:46:43.000000,2019-11-29 00:48:45.000000,2019-11-29 00:48:44.000000,28,42.0,149.0,334,1051.0,Open source production model management tool for data scientists.,6.0,16,False,2018-12-07 06:16:42.000000,0.0.40,41.0,datmo,,,,,5.0,5.0,https://pypi.org/project/datmo,2018-12-07 06:16:42.000000,,90.0,90.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n771,Case Recommender,caserec/CaseRecommender,,recommender-systems,https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39.000000,2020-05-26 22:44:05.000000,2020-05-26 22:44:05.000000,69,6.0,16.0,317,201.0,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems.,10.0,16,True,2019-08-20 13:48:43.000000,1.1.0,41.0,caserecommender,,,,['sklearn'],9.0,9.0,https://pypi.org/project/caserecommender,2019-08-20 13:48:43.000000,,100.0,100.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n772,LOFO,aerdem4/lofo-importance,,interpretability,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46.000000,2021-01-27 13:57:42.000000,2020-07-02 11:49:52.000000,40,1.0,10.0,309,24.0,Leave One Feature Out Importance.,3.0,16,True,2020-07-02 11:44:57.000000,0.2.6,9.0,lofo-importance,,,,,3.0,3.0,https://pypi.org/project/lofo-importance,2020-07-02 11:44:57.000000,,109.0,109.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n773,Sherpa,sherpa-ai/sherpa,,hyperopt,https://github.com/sherpa-ai/sherpa,https://github.com/sherpa-ai/sherpa,GPL-3.0,2018-05-16 21:41:54.000000,2020-10-18 07:57:50.000000,2020-10-18 07:57:48.000000,44,11.0,41.0,287,823.0,\"Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.\",43.0,16,False,2020-07-31 05:29:09.000000,1.0.7,8.0,parameter-sherpa,,,,,9.0,7.0,https://pypi.org/project/parameter-sherpa,2019-11-23 21:32:27.000000,2.0,130.0,130.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n774,Headliner,as-ideas/headliner,,nlp,https://github.com/as-ideas/headliner,https://github.com/as-ideas/headliner,MIT,2019-09-30 11:33:28.000000,2021-01-29 12:51:10.000000,2020-02-14 09:03:27.000000,38,1.0,13.0,221,276.0,Easy training and deployment of seq2seq models.,2.0,16,False,2020-01-24 09:06:29.000000,1.0.2,30.0,headliner,,,,,4.0,3.0,https://pypi.org/project/headliner,2020-01-24 09:06:29.000000,1.0,98.0,98.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n775,skggm,skggm/skggm,,sklearn-utils,https://github.com/skggm/skggm,https://github.com/skggm/skggm,MIT,2016-06-11 18:35:56.000000,2020-12-24 08:36:00.000000,2020-12-24 05:43:15.000000,31,28.0,47.0,177,691.0,Scikit-learn compatible estimation of general graphical models.,5.0,16,True,2018-09-12 01:12:49.000000,0.2.8,6.0,skggm,,,,['sklearn'],8.0,6.0,https://pypi.org/project/skggm,2018-09-12 01:12:49.000000,2.0,74.0,74.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n776,model-card-toolkit,tensorflow/model-card-toolkit,,interpretability,https://github.com/tensorflow/model-card-toolkit,https://github.com/tensorflow/model-card-toolkit,Apache-2.0,2020-07-24 16:48:58.000000,2021-03-10 03:42:39.000000,2021-03-03 18:56:32.000000,27,12.0,2.0,175,110.0,a tool that leverages rich metadata and lineage information in MLMD to build a model card.,8.0,16,True,2021-02-05 20:56:01.000000,0.1.3,4.0,model-card-toolkit,,,,,1.0,1.0,https://pypi.org/project/model-card-toolkit,2021-02-05 20:54:29.000000,,128.0,128.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n777,ipyexperiments,stas00/ipyexperiments,,gpu-utilities,https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40.000000,2021-02-13 21:37:46.000000,2021-02-13 21:37:41.000000,9,,4.0,128,191.0,jupyter/ipython experiment containers for GPU and general RAM re-use.,3.0,16,False,2021-02-13 19:44:30.000000,0.1.24,22.0,ipyexperiments,,,,['jupyter'],6.0,4.0,https://pypi.org/project/ipyexperiments,2021-02-13 19:44:30.000000,2.0,94.0,94.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n778,steppy,minerva-ml/steppy,,ml-experiments,https://github.com/minerva-ml/steppy,https://github.com/minerva-ml/steppy,MIT,2018-01-15 09:40:49.000000,2018-11-23 09:49:59.000000,2018-11-23 09:47:34.000000,31,16.0,50.0,127,69.0,\"Lightweight, Python library for fast and reproducible experimentation.\",5.0,16,False,2018-11-23 09:49:59.000000,0.1.16,16.0,steppy,,,,,43.0,38.0,https://pypi.org/project/steppy,2018-11-23 09:49:59.000000,5.0,38.0,38.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n779,celer,mathurinm/celer,,sklearn-utils,https://github.com/mathurinm/celer,https://github.com/mathurinm/celer,BSD-3-Clause,2018-02-20 19:37:31.000000,2021-03-10 12:33:05.000000,2021-03-10 12:25:00.000000,20,16.0,49.0,111,216.0,\"Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.\",9.0,16,False,2020-10-12 12:26:09.000000,0.5.1,10.0,celer,,,,['sklearn'],4.0,4.0,https://pypi.org/project/celer,2020-12-09 13:19:10.000000,,45.0,45.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n780,tinygrad,geohot/tinygrad,,pytorch-utils,https://github.com/geohot/tinygrad,https://github.com/geohot/tinygrad,MIT,2020-10-18 16:23:12.000000,2021-02-17 13:45:15.000000,2021-01-31 16:31:16.000000,454,14.0,62.0,4135,511.0,You like pytorch? You like micrograd? You love tinygrad!.,43.0,15,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n781,GraphEmbedding,shenweichen/GraphEmbedding,,graph,https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20.000000,2021-02-19 15:14:27.000000,2020-10-18 09:32:47.000000,564,27.0,13.0,1832,28.0,Implementation and experiments of graph embedding algorithms.,8.0,15,True,,,,,,,,['sklearn'],7.0,7.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n782,pycls,facebookresearch/pycls,,image,https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17.000000,2021-03-07 11:13:03.000000,2021-01-14 21:14:50.000000,160,11.0,44.0,1469,72.0,\"Codebase for Image Classification Research, written in PyTorch.\",9.0,15,True,2020-04-15 19:33:22.000000,0.1,1.0,,,,,['pytorch'],3.0,3.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n783,Lambda Networks,lucidrains/lambda-networks,,pytorch-utils,https://github.com/lucidrains/lambda-networks,https://github.com/lucidrains/lambda-networks,MIT,2020-10-08 19:01:15.000000,2020-11-18 19:54:34.000000,2020-11-18 19:54:30.000000,145,11.0,15.0,1417,,\"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.\",3.0,15,True,2020-11-18 08:19:23.000000,0.4.0,11.0,lambda-networks,,,,['pytorch'],1.0,1.0,https://pypi.org/project/lambda-networks,2020-11-18 08:19:23.000000,,419.0,419.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n784,Torch-Struct,harvardnlp/pytorch-struct,,pytorch-utils,https://github.com/harvardnlp/pytorch-struct,https://github.com/harvardnlp/pytorch-struct,MIT,2019-08-26 19:34:30.000000,2021-02-15 20:20:59.000000,2021-02-14 02:45:15.000000,71,18.0,24.0,906,261.0,\"Fast, general, and tested differentiable structured prediction in PyTorch.\",13.0,15,True,2021-02-15 20:20:59.000000,0.5,2.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n785,aim,aimhubio/aim,,ml-experiments,https://github.com/aimhubio/aim,https://github.com/aimhubio/aim,Apache-2.0,2019-05-31 18:25:07.000000,2021-03-06 16:29:25.000000,2021-03-06 16:29:25.000000,48,31.0,34.0,881,,\"Aim a super-easy way to record, search and compare 1000s of ML training runs.\",9.0,15,True,2019-11-06 08:06:11.000000,3.1.0,42.0,aim,,,,,2.0,,https://pypi.org/project/aim,2019-11-06 08:06:11.000000,2.0,800.0,800.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n786,MedicalTorch,perone/medicaltorch,,medical-data,https://github.com/perone/medicaltorch,https://github.com/perone/medicaltorch,Apache-2.0,2018-02-27 02:50:07.000000,2020-09-30 13:21:57.000000,2019-08-15 10:03:51.000000,106,14.0,9.0,716,55.0,A medical imaging framework for Pytorch.,7.0,15,False,2018-11-24 00:33:11.000000,0.2,2.0,medicaltorch,,,,['pytorch'],10.0,10.0,https://pypi.org/project/medicaltorch,2018-11-24 00:29:36.000000,,51.0,51.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n787,Translate,pytorch/translate,,nlp,https://github.com/pytorch/translate,https://github.com/pytorch/translate,BSD-3-Clause,2018-04-24 16:44:04.000000,2021-03-04 21:32:58.000000,2021-03-04 21:32:51.000000,158,66.0,27.0,682,805.0,Translate - a PyTorch Language Library.,85.0,15,True,,,1.0,pytorch-translate,,,,['pytorch'],,,https://pypi.org/project/pytorch-translate,2018-05-01 19:59:40.000000,,3.0,3.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n788,torchsde,google-research/torchsde,,pytorch-utils,https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11.000000,2021-02-26 22:00:28.000000,2021-02-26 20:35:52.000000,57,6.0,28.0,675,146.0,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,4.0,15,True,2021-01-05 18:31:38.000000,0.2.4,4.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n789,FlashTorch,MisaOgura/flashtorch,,interpretability,https://github.com/MisaOgura/flashtorch,https://github.com/MisaOgura/flashtorch,MIT,2019-03-22 13:00:57.000000,2020-12-14 23:09:26.000000,2020-05-29 14:37:29.000000,65,6.0,21.0,558,126.0,Visualization toolkit for neural networks in PyTorch! Demo --.,2.0,15,True,2020-05-29 14:39:38.000000,0.1.3,12.0,flashtorch,,,,['pytorch'],6.0,6.0,https://pypi.org/project/flashtorch,2020-05-29 14:38:32.000000,,173.0,173.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n790,cuSignal,rapidsai/cusignal,,gpu-utilities,https://github.com/rapidsai/cusignal,https://github.com/rapidsai/cusignal,Apache-2.0,2019-08-22 14:27:27.000000,2021-03-10 16:18:04.000000,2021-03-10 16:18:03.000000,60,15.0,90.0,459,,GPU accelerated signal processing.,29.0,15,True,2021-02-24 18:04:23.000000,0.18.0,5.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n791,Pywick,achaiah/pywick,,pytorch-utils,https://github.com/achaiah/pywick,https://github.com/achaiah/pywick,MIT,2019-03-25 15:42:47.000000,2021-03-08 15:28:01.000000,2021-03-01 17:17:46.000000,35,3.0,9.0,318,118.0,High-level batteries-included neural network training library for Pytorch.,4.0,15,True,2020-01-20 22:14:21.000000,0.5.6,6.0,pywick,,,,['pytorch'],2.0,2.0,https://pypi.org/project/pywick,2020-01-20 22:14:21.000000,,79.0,79.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n792,VizSeq,facebookresearch/vizseq,,nlp,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38.000000,2021-03-09 22:59:10.000000,2021-03-09 22:59:06.000000,39,7.0,8.0,313,44.0,\"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).\",3.0,15,True,2020-08-07 01:13:52.000000,0.1.15,16.0,vizseq,,,,,2.0,2.0,https://pypi.org/project/vizseq,2020-08-07 01:13:52.000000,,93.0,93.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n793,Parfit,jmcarpenter2/parfit,,hyperopt,https://github.com/jmcarpenter2/parfit,https://github.com/jmcarpenter2/parfit,MIT,2017-11-22 20:17:51.000000,2020-04-04 19:26:44.000000,2020-04-04 19:26:37.000000,25,6.0,5.0,197,127.0,\"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..\",2.0,15,True,,,23.0,parfit,,,,['sklearn'],7.0,7.0,https://pypi.org/project/parfit,2018-10-11 22:03:16.000000,,3810.0,3810.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n794,pyRDF2Vec,IBCNServices/pyRDF2Vec,,graph,https://github.com/IBCNServices/pyRDF2Vec,https://github.com/IBCNServices/pyRDF2Vec,MIT,2019-06-13 11:36:12.000000,2021-03-11 12:30:12.000000,2021-02-08 07:24:27.000000,18,4.0,23.0,91,753.0,Python Implementation and Extension of RDF2Vec.,5.0,15,False,2020-11-02 15:07:48.000000,0.1.1,7.0,pyrdf2vec,,,,,,,https://pypi.org/project/pyrdf2vec,2020-11-02 15:05:32.000000,,61.0,61.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n795,contextual-ai,SAP/contextual-ai,,interpretability,https://github.com/SAP/contextual-ai,https://github.com/SAP/contextual-ai,Apache-2.0,2020-05-12 07:15:56.000000,2021-01-25 04:56:57.000000,2021-01-25 04:03:23.000000,9,4.0,1.0,68,621.0,\"Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference -..\",10.0,15,False,2021-01-25 04:56:57.000000,0.0.2,2.0,contextual-ai,,,,,,,https://pypi.org/project/contextual-ai,2021-01-25 04:56:57.000000,,82.0,82.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n796,DE⫶TR,facebookresearch/detr,,image,https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52.000000,2021-02-19 06:34:49.000000,2020-11-15 16:03:45.000000,963,68.0,220.0,6364,41.0,End-to-End Object Detection with Transformers.,19.0,14,True,2020-06-29 16:41:01.000000,0.2,1.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n797,PySlowFast,facebookresearch/SlowFast,,image,https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26.000000,2021-03-05 08:35:42.000000,2021-03-05 08:35:37.000000,656,171.0,186.0,3402,105.0,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,19.0,14,True,,,,,,,,['pytorch'],2.0,2.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n798,OpenNRE,thunlp/OpenNRE,,nlp,https://github.com/thunlp/OpenNRE,https://github.com/thunlp/OpenNRE,MIT,2017-02-26 07:37:12.000000,2021-03-09 04:16:47.000000,2021-03-09 04:16:47.000000,864,21.0,287.0,3000,139.0,An Open-Source Package for Neural Relation Extraction (NRE).,9.0,14,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n799,Euler,alibaba/euler,,graph,https://github.com/alibaba/euler,https://github.com/alibaba/euler,Apache-2.0,2019-01-10 06:32:32.000000,2020-07-29 05:53:02.000000,2020-07-29 05:53:01.000000,507,202.0,98.0,2520,8.0,A distributed graph deep learning framework.,5.0,14,True,2020-07-07 02:24:18.000000,2.0.0,2.0,euler-gl,,,,['tensorflow'],,,https://pypi.org/project/euler-gl,2019-04-10 01:53:45.000000,,9.0,9.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n800,GraphSAGE,williamleif/GraphSAGE,,graph,https://github.com/williamleif/GraphSAGE,https://github.com/williamleif/GraphSAGE,MIT,2017-05-29 15:36:22.000000,2021-02-02 21:46:42.000000,2018-09-19 19:27:00.000000,620,85.0,58.0,2204,59.0,Representation learning on large graphs using stochastic graph convolutions.,9.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n801,ZhuSuan,thu-ml/zhusuan,,probabilistics,https://github.com/thu-ml/zhusuan,https://github.com/thu-ml/zhusuan,MIT,2016-07-18 13:31:38.000000,2020-01-09 14:51:27.000000,2019-08-05 10:00:04.000000,383,8.0,53.0,2020,439.0,\"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.\",20.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n802,OpenNE,thunlp/OpenNE,,graph,https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20.000000,2021-01-29 16:32:37.000000,2019-08-12 10:56:27.000000,443,50.0,82.0,1419,98.0,An Open-Source Package for Network Embedding (NE).,10.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n803,zenml,maiot-io/zenml,,data-pipelines,https://github.com/maiot-io/zenml,https://github.com/maiot-io/zenml,Apache-2.0,2020-11-19 09:25:46.000000,2021-03-11 14:48:32.000000,2021-03-08 14:03:26.000000,44,18.0,8.0,901,,ZenML: Bring Zen to your ML with reproducible pipelines.,7.0,14,True,2021-02-26 16:02:43.000000,0.3.3,17.0,zenml,,,,,1.0,1.0,https://pypi.org/project/zenml,2021-02-26 15:07:10.000000,,130.0,130.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n804,Anchor,marcotcr/anchor,,interpretability,https://github.com/marcotcr/anchor,https://github.com/marcotcr/anchor,BSD-2-Clause,2018-02-02 23:38:50.000000,2020-09-10 17:49:26.000000,2020-09-10 17:48:28.000000,87,11.0,46.0,627,39.0,Code for High-Precision Model-Agnostic Explanations paper.,8.0,14,True,,,8.0,anchor_exp,,,,,,,https://pypi.org/project/anchor_exp,2020-06-26 20:56:50.000000,,253.0,253.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n805,AutoGL,THUMNLab/AutoGL,,graph,https://github.com/THUMNLab/AutoGL,https://github.com/THUMNLab/AutoGL,MIT,2020-11-30 14:26:22.000000,2021-03-08 09:26:32.000000,2021-02-07 03:05:02.000000,57,5.0,4.0,588,,An autoML framework & toolkit for machine learning on graphs.,5.0,14,True,2020-12-23 08:15:15.000000,0.1.1,2.0,auto-graph-learning,,,,['pytorch'],,,https://pypi.org/project/auto-graph-learning,2020-12-23 08:05:25.000000,,21.0,21.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n806,Tez,abhishekkrthakur/tez,,pytorch-utils,https://github.com/abhishekkrthakur/tez,https://github.com/abhishekkrthakur/tez,Apache-2.0,2020-11-13 10:19:22.000000,2021-03-06 18:36:45.000000,2021-03-06 18:36:45.000000,71,10.0,7.0,575,,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,1.0,14,True,2021-01-29 07:26:14.000000,0.1.2,9.0,tez,,,,['pytorch'],,,https://pypi.org/project/tez,2021-01-29 07:26:14.000000,,514.0,514.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n807,PandaPy,firmai/pandapy,,data-containers,https://github.com/firmai/pandapy,https://github.com/firmai/pandapy,MIT,2020-01-15 18:21:23.000000,2020-11-12 16:18:45.000000,2020-11-12 16:18:44.000000,46,2.0,1.0,474,83.0,PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai).,3.0,14,True,2020-11-12 16:12:54.000000,zen,22.0,pandapy,,,,['pandas'],1.0,1.0,https://pypi.org/project/pandapy,2020-01-25 23:10:32.000000,,30.0,30.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n808,OpenRec,ylongqi/openrec,,recommender-systems,https://github.com/ylongqi/openrec,https://github.com/ylongqi/openrec,Apache-2.0,2017-11-29 16:04:40.000000,2020-11-13 17:47:17.000000,2020-02-19 07:57:17.000000,79,4.0,12.0,359,213.0,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms.,10.0,14,False,2020-02-18 06:52:11.000000,0.3.0,12.0,openrec,,,,,2.0,1.0,https://pypi.org/project/openrec,2020-02-18 06:52:11.000000,1.0,11.0,11.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n809,Adversary,airbnb/artificial-adversary,,adversarial,https://github.com/airbnb/artificial-adversary,https://github.com/airbnb/artificial-adversary,MIT,2018-08-08 04:42:11.000000,2018-10-14 05:34:44.000000,2018-08-29 15:31:30.000000,48,7.0,,347,15.0,Tool to generate adversarial text examples and test machine learning models against them.,5.0,14,False,2018-08-29 15:14:41.000000,1.1.1,3.0,Adversary,,,,,6.0,6.0,https://pypi.org/project/Adversary,2018-08-29 15:14:41.000000,,23.0,23.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n810,TransferNLP,feedly/transfer-nlp,,nlp,https://github.com/feedly/transfer-nlp,https://github.com/feedly/transfer-nlp,MIT,2019-03-12 20:00:31.000000,2020-05-28 19:00:02.000000,2020-05-28 17:31:53.000000,18,4.0,19.0,287,465.0,NLP library designed for reproducible experimentation management.,7.0,14,True,2020-05-28 19:00:02.000000,0.1.6,8.0,transfer-nlp,,,,['pytorch'],,,https://pypi.org/project/transfer-nlp,2020-05-28 19:00:02.000000,,64.0,64.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n811,data-describe,data-describe/data-describe,,data-viz,https://github.com/data-describe/data-describe,https://github.com/data-describe/data-describe,Apache-2.0,2020-05-04 17:58:14.000000,2021-03-08 20:40:47.000000,2021-03-02 19:30:45.000000,14,70.0,174.0,267,695.0,datadescribe: Pythonic EDA Accelerator for Data Science.,14.0,14,True,,,5.0,data-describe,,,,,,,https://pypi.org/project/data-describe,2020-12-03 23:07:43.000000,,57.0,57.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n812,NeuralQA,victordibia/neuralqa,,nlp,https://github.com/victordibia/neuralqa,https://github.com/victordibia/neuralqa,MIT,2020-05-19 03:55:56.000000,2021-03-11 05:01:12.000000,2020-12-16 17:41:37.000000,24,21.0,8.0,185,312.0,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,3.0,14,True,,,27.0,neuralqa,,,,,2.0,2.0,https://pypi.org/project/neuralqa,2020-09-18 17:54:50.000000,,20.0,20.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n813,Julius,adefossez/julius,,audio,https://github.com/adefossez/julius,https://github.com/adefossez/julius,MIT,2020-10-26 10:54:21.000000,2021-03-03 09:48:59.000000,2021-03-03 09:27:16.000000,6,1.0,3.0,178,,Fast PyTorch based DSP for audio and 1D signals.,2.0,14,True,2021-03-03 09:48:59.000000,0.2.3,7.0,julius,,,,['pytorch'],7.0,7.0,https://pypi.org/project/julius,2021-03-03 09:48:59.000000,0.0,924.0,924.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n814,Auptimizer,LGE-ARC-AdvancedAI/auptimizer,,hyperopt,https://github.com/LGE-ARC-AdvancedAI/auptimizer,https://github.com/LGE-ARC-AdvancedAI/auptimizer,GPL-3.0,2019-09-12 01:08:37.000000,2021-03-03 01:50:33.000000,2021-03-03 01:30:06.000000,21,1.0,4.0,166,79.0,An automatic ML model optimization tool.,11.0,14,False,2021-03-03 02:00:23.000000,2.0,7.0,auptimizer,,,,,,,https://pypi.org/project/auptimizer,2021-03-02 02:40:32.000000,,31.0,31.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n815,nx-altair,Zsailer/nx_altair,,data-viz,https://github.com/Zsailer/nx_altair,https://github.com/Zsailer/nx_altair,MIT,2018-05-13 00:10:12.000000,2020-09-30 12:01:08.000000,2020-06-02 21:10:26.000000,19,5.0,4.0,159,51.0,Draw interactive NetworkX graphs with Altair.,3.0,14,True,2020-06-02 21:11:12.000000,0.1.6,8.0,nx-altair,,,,['jupyter'],4.0,,https://pypi.org/project/nx-altair,2020-06-02 21:11:12.000000,4.0,102.0,102.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n816,ONNX-T5,abelriboulot/onnxt5,,nlp,https://github.com/abelriboulot/onnxt5,https://github.com/abelriboulot/onnxt5,Apache-2.0,2020-08-01 09:38:35.000000,2021-01-28 09:26:15.000000,2021-01-28 09:24:52.000000,19,5.0,6.0,141,74.0,\"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..\",3.0,14,False,2021-01-28 09:26:15.000000,0.1.8,11.0,onnxt5,,,,,,,https://pypi.org/project/onnxt5,2021-01-28 09:26:15.000000,,62.0,62.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n817,ModelChimp,ModelChimp/modelchimp,,ml-experiments,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03.000000,2021-03-10 23:40:20.000000,2021-02-15 13:37:13.000000,12,4.0,10.0,121,361.0,Experiment tracking for machine and deep learning projects.,3.0,14,False,2019-04-09 10:43:15.000000,0.4.0,37.0,modelchimp,,modelchimp/modelchimp-server,,,,,https://pypi.org/project/modelchimp,2019-04-09 10:41:20.000000,,86.0,108.0,,,,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,635.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n818,StarSpace,facebookresearch/StarSpace,,ml-frameworks,https://github.com/facebookresearch/StarSpace,https://github.com/facebookresearch/StarSpace,MIT,2017-06-28 17:50:18.000000,2020-05-18 03:40:57.000000,2019-12-13 19:03:25.000000,494,50.0,146.0,3568,138.0,\"Learning embeddings for classification, retrieval and ranking.\",17.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n819,OpenKE,thunlp/OpenKE,,graph,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,MIT,2017-10-08 11:20:23.000000,2020-04-08 11:00:38.000000,2020-04-08 11:00:32.000000,747,58.0,224.0,2443,97.0,An Open-Source Package for Knowledge Embedding (KE).,10.0,13,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n820,ENAS,carpedm20/ENAS-pytorch,,hyperopt,https://github.com/carpedm20/ENAS-pytorch,https://github.com/carpedm20/ENAS-pytorch,Apache-2.0,2018-02-15 04:54:37.000000,2020-12-09 18:13:03.000000,2020-06-16 07:23:32.000000,449,37.0,7.0,2396,53.0,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,6.0,13,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n821,GraphVite,DeepGraphLearning/graphvite,,graph,https://github.com/DeepGraphLearning/graphvite,https://github.com/DeepGraphLearning/graphvite,Apache-2.0,2019-07-16 15:48:20.000000,2021-01-14 02:19:03.000000,2021-01-14 02:18:46.000000,118,26.0,55.0,860,15.0,GraphVite: A General and High-performance Graph Embedding System.,1.0,13,True,,,4.0,,milagraph/graphvite,,,,,,,,,,187.0,https://anaconda.org/milagraph/graphvite,2020-03-19 18:21:30.972000,3569.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n822,NeoML,neoml-lib/neoml,,ml-frameworks,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000000,2021-03-11 13:45:22.000000,2021-03-11 11:51:35.000000,83,16.0,13.0,567,254.0,Machine learning framework for both deep learning and traditional algorithms.,19.0,13,True,2020-06-14 17:44:03.000000,NeoML-master_1.0.1.0,1.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n823,textvec,textvec/textvec,,nlp,https://github.com/textvec/textvec,https://github.com/textvec/textvec,MIT,2018-04-12 14:03:53.000000,2020-12-03 14:23:11.000000,2020-12-03 14:23:04.000000,21,2.0,6.0,166,70.0,Text vectorization tool to outperform TFIDF for classification tasks.,5.0,13,True,2019-09-12 07:41:04.000000,2.0,4.0,textvec,,,,['sklearn'],2.0,2.0,https://pypi.org/project/textvec,2020-12-03 14:17:09.000000,,43.0,43.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n824,DeepNeuro,QTIM-Lab/DeepNeuro,,medical-data,https://github.com/QTIM-Lab/DeepNeuro,https://github.com/QTIM-Lab/DeepNeuro,MIT,2017-06-01 19:36:34.000000,2020-06-24 13:00:15.000000,2020-06-24 13:00:14.000000,31,27.0,16.0,99,285.0,A deep learning python package for neuroimaging data. Made by:.,6.0,13,False,2019-06-10 21:04:04.000000,0.2.3,6.0,deepneuro,,,,,1.0,1.0,https://pypi.org/project/deepneuro,2019-06-10 21:04:04.000000,,17.0,17.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n825,Hypermax,electricbrainio/hypermax,,hyperopt,https://github.com/electricbrainio/hypermax,https://github.com/electricbrainio/hypermax,BSD-3-Clause,2018-07-27 18:43:01.000000,2020-08-02 18:08:50.000000,2020-08-02 18:08:46.000000,15,3.0,1.0,95,207.0,\"Better, faster hyper-parameter optimization.\",9.0,13,False,2019-10-23 15:40:12.000000,0.5.1,11.0,hypermax,,,,,4.0,4.0,https://pypi.org/project/hypermax,2019-10-23 15:40:12.000000,,18.0,18.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n826,nptsne,biovault/nptsne,,data-viz,https://github.com/biovault/nptsne,https://github.com/biovault/nptsne,Apache-2.0,2019-06-28 08:40:25.000000,2021-03-08 15:54:27.000000,2021-02-03 08:52:27.000000,2,6.0,5.0,25,857.0,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,3.0,13,False,2020-09-10 23:54:14.000000,1.1.0,2.0,nptsne,,,,,2.0,2.0,https://pypi.org/project/nptsne,2020-09-10 23:54:14.000000,,23.0,23.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n827,micrograd,karpathy/micrograd,,pytorch-utils,https://github.com/karpathy/micrograd,https://github.com/karpathy/micrograd,MIT,2020-04-13 04:31:18.000000,2020-12-18 12:55:50.000000,2020-04-18 19:15:25.000000,117,2.0,3.0,1604,24.0,A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.,2.0,12,True,2020-04-18 19:06:59.000000,0.1.0,1.0,micrograd,,,,['pytorch'],1.0,1.0,https://pypi.org/project/micrograd,2020-04-18 19:06:59.000000,0.0,17.0,17.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n828,surpriver,tradytics/surpriver,,financial-data,https://github.com/tradytics/surpriver,https://github.com/tradytics/surpriver,GPL-3.0,2020-08-30 07:56:22.000000,2020-11-13 00:48:16.000000,2020-09-21 04:32:05.000000,204,9.0,5.0,1137,64.0,Find big moving stocks before they move using machine learning and anomaly detection.,6.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n829,Medical Detection Toolkit,MIC-DKFZ/medicaldetectiontoolkit,,medical-data,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,Apache-2.0,2018-10-12 12:34:57.000000,2020-10-14 11:17:37.000000,2020-04-18 12:52:08.000000,234,27.0,85.0,913,36.0,\"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..\",3.0,12,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n830,Attribution Priors,suinleelab/attributionpriors,,interpretability,https://github.com/suinleelab/attributionpriors,https://github.com/suinleelab/attributionpriors,MIT,2019-06-24 23:54:24.000000,2021-02-22 01:55:26.000000,2021-02-22 01:55:22.000000,4,1.0,3.0,74,71.0,Tools for training explainable models using attribution priors.,6.0,12,False,2019-10-31 18:03:05.000000,0.1.3,4.0,attributionpriors,,,,\"['tensorflow', 'pytorch']\",2.0,2.0,https://pypi.org/project/attributionpriors,2019-10-31 18:03:05.000000,,13.0,13.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n831,featurewiz,AutoViML/featurewiz,,hyperopt,https://github.com/AutoViML/featurewiz,https://github.com/AutoViML/featurewiz,Apache-2.0,2020-11-29 16:46:16.000000,2021-03-10 02:56:43.000000,2021-03-10 02:56:28.000000,14,,,40,,Use advanced feature engineering strategies and select the best features from your data set fast with a single line of..,1.0,12,False,2021-03-10 02:55:29.000000,0.0.23,23.0,featurewiz,,,,,,,https://pypi.org/project/featurewiz,2021-03-10 02:55:29.000000,,174.0,174.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n832,LazyCluster,ml-tooling/lazycluster,,distributed-ml,https://github.com/ml-tooling/lazycluster,https://github.com/ml-tooling/lazycluster,Apache-2.0,2019-08-07 08:05:13.000000,2021-02-10 02:39:55.000000,2020-12-14 15:24:53.000000,6,,,33,,Distributed machine learning made simple.,2.0,12,False,2020-12-14 15:25:59.000000,0.2.4,5.0,lazycluster,,,,,2.0,2.0,https://pypi.org/project/lazycluster,2020-12-14 14:49:33.000000,,38.0,38.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n833,MedicalNet,Tencent/MedicalNet,,medical-data,https://github.com/Tencent/MedicalNet,https://github.com/Tencent/MedicalNet,MIT,2019-07-17 09:53:10.000000,2020-08-27 13:37:27.000000,2020-08-27 13:37:26.000000,290,43.0,14.0,1066,26.0,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,1.0,11,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n834,Devol,joeddav/devol,,hyperopt,https://github.com/joeddav/devol,https://github.com/joeddav/devol,MIT,2017-02-10 03:07:54.000000,2020-07-05 21:56:59.000000,2020-07-05 21:56:58.000000,109,7.0,20.0,924,116.0,Genetic neural architecture search with Keras.,18.0,11,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n835,PySparNN,facebookresearch/pysparnn,,nn-search,https://github.com/facebookresearch/pysparnn,https://github.com/facebookresearch/pysparnn,BSD-3-Clause,2016-03-28 20:43:42.000000,2020-10-02 06:01:01.000000,2018-01-31 16:50:23.000000,142,12.0,14.0,858,147.0,Approximate Nearest Neighbor Search for Sparse Data in Python!.,5.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n836,bias-detector,intuit/bias-detector,,interpretability,https://github.com/intuit/bias-detector,https://github.com/intuit/bias-detector,MIT,2021-02-02 16:58:52.000000,2021-02-14 12:06:08.000000,2021-02-14 12:06:02.000000,4,,,17,,Bias Detector is a python package for detecting bias in machine learning models.,3.0,11,False,2021-02-09 11:20:10.000000,0.0.11,10.0,bias-detector,,,,,,,https://pypi.org/project/bias-detector,2021-02-09 11:20:10.000000,,67.0,67.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n837,traingenerator,jrieke/traingenerator,,others,https://github.com/jrieke/traingenerator,https://github.com/jrieke/traingenerator,MIT,2020-12-03 16:47:16.000000,2021-03-03 18:43:40.000000,2021-01-20 23:05:06.000000,127,9.0,3.0,941,,A web app to generate template code for machine learning.,3.0,10,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n838,Mozart,aashrafh/Mozart,,ocr,https://github.com/aashrafh/Mozart,https://github.com/aashrafh/Mozart,Apache-2.0,2020-12-14 11:49:14.000000,2021-02-11 08:19:14.000000,2021-01-14 17:13:58.000000,36,1.0,1.0,238,,An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.,5.0,10,True,,,,,,,,['sklearn'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n839,Hypertunity,gdikov/hypertunity,,hyperopt,https://github.com/gdikov/hypertunity,https://github.com/gdikov/hypertunity,Apache-2.0,2019-06-02 12:04:55.000000,2020-01-26 23:14:49.000000,2020-01-26 22:53:29.000000,9,,2.0,119,64.0,A toolset for black-box hyperparameter optimisation.,2.0,10,False,2020-01-26 23:08:16.000000,1.0.1,7.0,hypertunity,,,,,2.0,2.0,https://pypi.org/project/hypertunity,2020-01-26 23:08:16.000000,,9.0,9.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n840,traintool,jrieke/traintool,,ml-experiments,https://github.com/jrieke/traintool,https://github.com/jrieke/traintool,Apache-2.0,2020-09-30 22:23:05.000000,2020-11-18 02:51:43.000000,2020-11-18 02:50:52.000000,1,,,9,120.0,Train off-the-shelf machine learning models in one line of code.,,10,False,2020-11-02 02:25:32.000000,0.0.3,3.0,traintool,,,,\"['pytorch', 'tensorflow', 'sklearn']\",,,https://pypi.org/project/traintool,2020-11-02 02:25:32.000000,,17.0,17.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n"
  },
  {
    "path": "history/2021-04-01_changes.md",
    "content": "## 📈 Trending Up\n\n_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._\n\n- <b><a href=\"https://github.com/RaRe-Technologies/gensim\">gensim</a></b> (🥇36 ·  ⭐ 12K · 📈) - Topic Modelling for Humans. <code><a href=\"https://tldrlegal.com/search?q=LGPL-2.1\">❗️LGPL-2.1</a></code>\n- <b><a href=\"https://github.com/spotify/luigi\">luigi</a></b> (🥇33 ·  ⭐ 14K · 📈) - Luigi is a Python module that helps you build complex pipelines of.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/facebookresearch/detectron2\">detectron2</a></b> (🥈28 ·  ⭐ 16K · 📈) - Detectron2 is FAIR's next-generation platform for object.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/allegroai/clearml\">ClearML</a></b> (🥈26 ·  ⭐ 2.3K · 📈) - ClearML - Auto-Magical Suite of tools to streamline your ML.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/rlworkgroup/garage\">garage</a></b> (🥈24 ·  ⭐ 1.1K · 📈) - A toolkit for reproducible reinforcement learning research. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/iskandr/fancyimpute\">fancyimpute</a></b> (🥈24 ·  ⭐ 950 · 📈) - Multivariate imputation and matrix completion.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/lucidrains/vit-pytorch\">vit-pytorch</a></b> (🥉20 ·  ⭐ 3.2K · 🐣) - Implementation of Vision Transformer, a simple way to.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/beringresearch/ivis\">ivis</a></b> (🥉20 ·  ⭐ 220 · 📈) - Dimensionality reduction in very large datasets using Siamese.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/lightly-ai/lightly\">lightly</a></b> (🥉19 ·  ⭐ 690 · 🐣) - A python library for self-supervised learning on images. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/lucidrains/lambda-networks\">Lambda Networks</a></b> (🥉17 ·  ⭐ 1.4K · 🐣) - Implementation of LambdaNetworks, a new approach to.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n\n## 📉 Trending Down\n\n_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._\n\n- <b><a href=\"https://github.com/mwaskom/seaborn\">Seaborn</a></b> (🥇36 ·  ⭐ 8.3K · 📉) - Statistical data visualization using matplotlib. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/statsmodels/statsmodels\">StatsModels</a></b> (🥈32 ·  ⭐ 6.2K · 📉) - Statsmodels: statistical modeling and econometrics in Python. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/python-excel/xlrd\">xlrd</a></b> (🥇32 ·  ⭐ 1.9K · 📉) - Please use openpyxl where you can... <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/ranaroussi/yfinance\">yfinance</a></b> (🥇28 ·  ⭐ 4.7K · 📉) - Yahoo! Finance market data downloader (+faster Pandas.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/alan-turing-institute/sktime\">sktime</a></b> (🥈24 ·  ⭐ 3.8K · 📉) - A unified framework for machine learning with time series. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/ContextLab/hypertools\">HyperTools</a></b> (🥉23 ·  ⭐ 1.6K · 📉) - A Python toolbox for gaining geometric insights into high-.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/yzhao062/SUOD\">SUOD</a></b> (🥉20 ·  ⭐ 250 · 📉) - (MLSys' 21) An Acceleration System for Large-scare Unsupervised.. <code><a href=\"http://bit.ly/3rqEWVr\">BSD-2</a></code>\n- <b><a href=\"https://github.com/NifTK/NiftyNet\">NiftyNet</a></b> (🥉19 ·  ⭐ 1.3K · 💤) - [unmaintained] An open-source convolutional neural.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/automl/HpBandSter\">HpBandSter</a></b> (🥉19 ·  ⭐ 460 · 💀) - a distributed Hyperband implementation on Steroids. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/deepgraph/deepgraph\">DeepGraph</a></b> (🥉16 ·  ⭐ 230 · 📉) - Analyze Data with Pandas-based Networks. Documentation:. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1S\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n\n## ➕ Added Projects\n\n_Projects that were recently added to this best-of list._\n\n- <b><a href=\"https://github.com/bodywork-ml/bodywork-core\">bodywork-core</a></b> (🥉9 ·  ⭐ 150 · 🐣) - Deploy machine learning projects developed in Python, to.. <code><a href=\"http://bit.ly/3pwmjO5\">❗️AGPL-3.0</a></code>\n\n"
  },
  {
    "path": "history/2021-04-01_projects.csv",
    "content": ",name,github_id,resource,category,github_url,homepage,license,created_at,updated_at,last_commit_pushed_at,fork_count,open_issue_count,closed_issue_count,star_count,commit_count,description,contributor_count,projectrank,show,latest_stable_release_published_at,latest_stable_release_number,release_count,pypi_id,conda_id,dockerhub_id,docs_url,labels,dependent_project_count,github_dependent_project_count,pypi_url,pypi_latest_release_published_at,pypi_dependent_project_count,pypi_monthly_downloads,monthly_downloads,conda_url,conda_latest_release_published_at,conda_total_downloads,dockerhub_url,dockerhub_latest_release_published_at,dockerhub_stars,dockerhub_pulls,projectrank_placing,github_release_downloads,helm_id,trending,npm_id,npm_url,npm_latest_release_published_at,npm_dependent_project_count,npm_monthly_downloads,conda_dependent_project_count,brew_id,apt_id,yum_id,updated_github_id,snap_id,dnf_id,yay_id,maven_id,maven_url,maven_latest_release_published_at,maven_dependent_project_count,gitlab_id,gitlab_url,new_addition\n0,ANN Benchmarks,erikbern/ann-benchmarks,True,nn-search,https://github.com/erikbern/ann-benchmarks,https://github.com/erikbern/ann-benchmarks,MIT,2015-05-28 13:21:43.000000,2021-03-29 16:39:44.000000,2021-03-13 12:50:08.000000,335,27.0,60.0,2132,1175.0,Benchmarks of approximate nearest neighbor libraries in Python.,54.0,0,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n1,best-of-web-python - Web Scraping,ml-tooling/best-of-web-python,True,web-scraping,https://github.com/ml-tooling/best-of-web-python,https://github.com/ml-tooling/best-of-web-python,CC-BY-SA-4.0,2021-01-05 13:09:27.000000,2021-04-01 15:16:15.000000,2021-03-13 18:19:34.000000,68,,2.0,1137,,Collection of web-scraping and crawling libraries.,6.0,0,True,2021-03-13 18:15:12.000000,2021.03.11,11.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n2,best-of-python - DB Clients,ml-tooling/best-of-python,True,db-clients,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#database-clients,CC-BY-SA-4.0,2021-01-11 19:11:32.000000,2021-04-01 14:46:59.000000,2021-03-13 18:15:28.000000,105,,3.0,1532,,Collection of database clients for python.,5.0,0,True,2021-03-13 18:16:05.000000,2021.03.11,10.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n3,Tensorflow,tensorflow/tensorflow,,ml-frameworks,https://github.com/tensorflow/tensorflow,https://github.com/tensorflow/tensorflow,Apache-2.0,2015-11-07 01:19:20.000000,2021-04-01 13:36:02.282062,2021-04-01 13:01:48.000000,84338,4044.0,27111.0,156378,107986.0,An Open Source Machine Learning Framework for Everyone.,3600.0,44,True,2021-01-21 19:55:54.000000,2.4.1,116.0,tensorflow,conda-forge/tensorflow,tensorflow/tensorflow,https://www.tensorflow.org/overview,['tensorflow'],151553.0,129029.0,https://pypi.org/project/tensorflow,2021-01-21 19:38:00.000000,22524.0,3299121.0,4098884.0,https://anaconda.org/conda-forge/tensorflow,2020-07-15 22:30:18.070000,2442581.0,https://hub.docker.com/r/tensorflow/tensorflow,2021-04-01 13:36:02.282062,1876.0,49381904.0,1.0,,,,,,,,,,,,,,,,,,,,,,,\n4,Matplotlib,matplotlib/matplotlib,,data-viz,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,Python-2.0,2011-02-19 03:17:12.000000,2021-04-01 08:28:26.000000,2021-04-01 08:28:26.000000,5728,1713.0,6104.0,13376,38410.0,matplotlib: plotting with Python.,1222.0,41,True,2021-03-31 07:23:52.000000,3.4.1,66.0,matplotlib,conda-forge/matplotlib,,,,425826.0,346722.0,https://pypi.org/project/matplotlib,2021-03-26 07:50:28.000000,79104.0,5618317.0,5745424.0,https://anaconda.org/conda-forge/matplotlib,2021-03-31 18:55:37.001000,8516172.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n5,pandas,pandas-dev/pandas,,data-containers,https://github.com/pandas-dev/pandas,https://github.com/pandas-dev/pandas,BSD-3-Clause,2010-08-24 01:37:33.000000,2021-04-01 14:39:31.000000,2021-04-01 13:35:41.000000,12127,3721.0,16714.0,29190,26367.0,\"Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R..\",2638.0,40,True,2021-03-02 12:03:23.000000,1.2.3,89.0,pandas,conda-forge/pandas,,,['pandas'],76784.0,,https://pypi.org/project/pandas,2021-02-09 13:20:50.000000,76784.0,15667550.0,15926473.0,https://anaconda.org/conda-forge/pandas,2021-03-02 16:53:17.820000,15207956.0,,,,,1.0,101105.0,,,,,,,,,,,,,,,,,,,,,,\n6,scipy,scipy/scipy,,others,https://github.com/scipy/scipy,https://github.com/scipy/scipy,BSD-3-Clause,2011-03-09 18:52:03.000000,2021-04-01 07:47:39.000000,2021-03-31 03:14:45.000000,3618,1612.0,5814.0,8065,25237.0,\"Ecosystem of open-source software for mathematics, science, and engineering.\",1144.0,40,True,2021-03-25 02:04:06.000000,1.6.2,61.0,scipy,conda-forge/scipy,,,,408358.0,321496.0,https://pypi.org/project/scipy,2021-02-18 02:35:14.000000,86862.0,8420928.0,8654531.0,https://anaconda.org/conda-forge/scipy,2021-03-27 22:49:06.551000,13517090.0,,,,,1.0,310531.0,,,,,,,,,,,,,,,,,,,,,,\n7,PyTorch,pytorch/pytorch,,ml-frameworks,https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41.000000,2021-04-01 13:56:36.000000,2021-04-01 13:55:02.000000,12477,8228.0,13477.0,47266,34966.0,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,2582.0,39,True,2021-03-25 16:07:08.000000,1.8.1,32.0,torch,pytorch/pytorch,,https://pytorch.org/docs/stable/index.html,['pytorch'],75480.0,68798.0,https://pypi.org/project/torch,2021-03-25 15:54:32.000000,6682.0,1179709.0,1434361.0,https://anaconda.org/pytorch/pytorch,2021-03-25 16:42:58.661000,10440743.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n8,Celery,celery/celery,,data-pipelines,https://github.com/celery/celery,https://github.com/celery/celery,BSD-3-Clause,2009-04-24 11:31:24.000000,2021-04-01 14:13:55.000000,2021-04-01 14:13:55.000000,3955,491.0,3964.0,16985,11561.0,Asynchronous task queue/job queue based on distributed message passing.,1104.0,39,True,2020-12-16 15:41:18.000000,5.0.5,171.0,celery,conda-forge/celery,,,,79032.0,50798.0,https://pypi.org/project/celery,2020-12-16 15:34:09.000000,28234.0,1491677.0,1499024.0,https://anaconda.org/conda-forge/celery,2021-03-24 04:34:11.646000,448191.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n9,Pillow,python-pillow/Pillow,,image,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000000,2021-04-01 12:38:11.000000,2021-04-01 12:38:11.000000,1592,251.0,1945.0,8365,11510.0,The friendly PIL fork (Python Imaging Library).,354.0,39,True,2021-03-06 05:23:45.000000,8.1.2,79.0,Pillow,conda-forge/pillow,,,,542131.0,430705.0,https://pypi.org/project/Pillow,2021-03-06 05:22:31.000000,111426.0,9808752.0,9939191.0,https://anaconda.org/conda-forge/pillow,2021-03-08 23:16:48.454000,7826342.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n10,PySpark,apache/spark,,ml-frameworks,https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08.000000,2021-04-01 14:04:18.000000,2021-04-01 07:33:30.000000,23545,218.0,,29231,29697.0,Apache Spark Python API.,2428.0,38,True,2021-02-19 18:08:00.000000,3.0.2,22.0,pyspark,conda-forge/pyspark,,,['spark'],1339.0,579.0,https://pypi.org/project/pyspark,2021-02-19 18:08:00.000000,760.0,3377053.0,3396714.0,https://anaconda.org/conda-forge/pyspark,2021-03-04 09:44:05.675000,963433.0,,,,,1.0,,stable/spark,,,,,,,,,,,,,,,,,,,,,\n11,numpy,numpy/numpy,,data-containers,https://github.com/numpy/numpy,https://github.com/numpy/numpy,BSD-3-Clause,2010-09-13 23:02:39.000000,2021-04-01 10:29:14.000000,2021-03-31 21:47:17.000000,5374,2265.0,7410.0,16713,,The fundamental package for scientific computing with Python.,1286.0,38,True,2021-03-27 23:33:19.000000,1.20.2,97.0,numpy,conda-forge/numpy,,,,833858.0,664136.0,https://pypi.org/project/numpy,2021-03-27 22:16:26.000000,169722.0,24265456.0,24572915.0,https://anaconda.org/conda-forge/numpy,2021-03-28 21:35:26.037000,17779619.0,,,,,1.0,323864.0,,,,,,,,,,,,,,,,,,,,,,\n12,scikit-learn,scikit-learn/scikit-learn,,ml-frameworks,https://github.com/scikit-learn/scikit-learn,https://github.com/scikit-learn/scikit-learn,BSD-3-Clause,2010-08-17 09:43:38.000000,2021-04-01 14:03:44.000000,2021-03-31 14:45:38.000000,21251,2375.0,6785.0,45075,,scikit-learn: machine learning in Python.,2189.0,37,True,2021-01-19 18:10:37.000000,0.24.1,53.0,scikit-learn,conda-forge/scikit-learn,,,['sklearn'],242932.0,205044.0,https://pypi.org/project/scikit-learn,2021-01-19 18:06:50.000000,37888.0,6476886.0,6604456.0,https://anaconda.org/conda-forge/scikit-learn,2021-01-21 23:33:46.354000,7525989.0,,,,,1.0,671.0,,,,,,,,,,,,,,,,,,,,,,\n13,spaCy,explosion/spaCy,,nlp,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000000,2021-04-01 12:42:48.000000,2021-04-01 12:39:36.000000,3333,109.0,4408.0,20044,14414.0,Industrial-strength Natural Language Processing (NLP) in Python.,572.0,37,True,2021-03-10 11:33:30.000000,3.0.5,176.0,spacy,conda-forge/spacy,,,,26129.0,23063.0,https://pypi.org/project/spacy,2021-03-10 11:33:30.000000,3066.0,665824.0,697156.0,https://anaconda.org/conda-forge/spacy,2021-03-11 13:42:03.785000,1563855.0,,,,,1.0,2994.0,,,,,,,,,,,,,,,,,,,,,,\n14,transformers,huggingface/transformers,,nlp,https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000000,2021-04-01 14:10:38.000000,2021-04-01 12:56:12.000000,10406,629.0,5813.0,43245,6891.0,Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.,829.0,36,True,2021-03-18 19:17:38.000000,4.4.2,54.0,transformers,conda-forge/transformers,,,\"['pytorch', 'tensorflow']\",9204.0,9076.0,https://pypi.org/project/transformers,2021-03-16 20:06:48.000000,128.0,517102.0,518879.0,https://anaconda.org/conda-forge/transformers,2021-03-19 10:45:17.674000,31216.0,,,,,1.0,1268.0,,,,,,,,,,,,,,,,,,,,,,\n15,Airflow,apache/airflow,,data-pipelines,https://github.com/apache/airflow,https://github.com/apache/airflow,Apache-2.0,2015-04-13 18:04:58.000000,2021-04-01 13:58:57.000000,2021-04-01 13:58:57.000000,8241,982.0,2257.0,21233,12047.0,\"Platform to programmatically author, schedule, and monitor workflows.\",1815.0,36,True,2021-03-17 17:29:35.000000,1.10.15,73.0,apache-airflow,conda-forge/airflow,apache/airflow,,,294.0,,https://pypi.org/project/apache-airflow,2021-02-08 22:43:55.000000,294.0,538926.0,717140.0,https://anaconda.org/conda-forge/airflow,2021-03-17 22:02:37.373000,296153.0,https://hub.docker.com/r/apache/airflow,2021-03-30 03:37:41.828072,230.0,12264042.0,1.0,107447.0,stable/airflow,,,,,,,,,,,,,,,,,,,,,\n16,Faker,joke2k/faker,,data-loading,https://github.com/joke2k/faker,https://github.com/joke2k/faker,MIT,2012-11-12 23:00:09.000000,2021-03-29 21:09:24.368000,2021-03-29 18:30:24.000000,1399,141.0,359.0,12335,2604.0,Faker is a Python package that generates fake data for you.,396.0,36,True,2021-03-29 18:31:02.000000,7.0.1,133.0,Faker,conda-forge/faker,,,,29675.0,24963.0,https://pypi.org/project/Faker,2021-03-29 18:30:54.000000,4712.0,1236253.0,1244423.0,https://anaconda.org/conda-forge/faker,2021-03-29 21:09:24.368000,400351.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n17,gensim,RaRe-Technologies/gensim,,nlp,https://github.com/RaRe-Technologies/gensim,https://github.com/RaRe-Technologies/gensim,LGPL-2.1,2011-02-10 07:43:04.000000,2021-04-01 12:58:44.000000,2021-04-01 11:11:25.000000,3947,352.0,1280.0,11895,4144.0,Topic Modelling for Humans.,390.0,36,True,2021-03-25 13:42:33.000000,4.0.0,85.0,gensim,conda-forge/gensim,,,,26740.0,21998.0,https://pypi.org/project/gensim,2021-03-25 13:43:34.000000,4742.0,5900736.0,5915261.0,https://anaconda.org/conda-forge/gensim,2021-04-01 05:24:47.422000,622461.0,,,,,1.0,3304.0,,1.0,,,,,,,,,,,,,,,,,,,,\n18,Seaborn,mwaskom/seaborn,,data-viz,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000000,2021-03-31 06:40:22.000000,2021-03-25 16:56:42.000000,1383,98.0,1718.0,8272,2762.0,Statistical data visualization using matplotlib.,149.0,36,True,2021-03-29 17:36:25.000000,joss_paper,23.0,seaborn,conda-forge/seaborn,,,,100511.0,87725.0,https://pypi.org/project/seaborn,2020-12-20 20:53:25.000000,12786.0,1600576.0,1639548.0,https://anaconda.org/conda-forge/seaborn,2021-01-28 11:50:33.609000,2182387.0,,,,,1.0,158.0,,-1.0,,,,,,,,,,,,,,,,,,,,\n19,Keras,keras-team/keras,,ml-frameworks,https://github.com/keras-team/keras,https://github.com/keras-team/keras,MIT,2015-03-28 00:35:42.000000,2021-04-01 07:34:45.000000,2021-03-31 21:09:21.000000,18737,3242.0,7245.0,50963,5460.0,Deep Learning for humans.,902.0,35,True,2020-06-24 22:40:48.000000,2.4.3,53.0,keras,conda-forge/keras,,https://keras.io,['tensorflow'],14996.0,,https://pypi.org/project/keras,2020-06-24 22:40:48.000000,14996.0,1058312.0,1086065.0,https://anaconda.org/conda-forge/keras,2020-06-25 19:13:34.254000,1554218.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n20,OpenAI Gym,openai/gym,,reinforcement-learning,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16.000000,2021-03-31 18:02:26.000000,2021-03-31 18:02:11.000000,6813,280.0,1065.0,23827,1243.0,A toolkit for developing and comparing reinforcement learning algorithms.,274.0,35,True,2020-12-19 00:29:36.000000,0.18.0,92.0,gym,,,,,22556.0,18994.0,https://pypi.org/project/gym,2020-12-19 00:29:36.000000,3562.0,170086.0,170086.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n21,XGBoost,dmlc/xgboost,,ml-frameworks,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000000,2021-04-01 13:45:19.000000,2021-04-01 11:52:12.000000,7942,278.0,3713.0,20772,5275.0,\"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..\",510.0,35,True,2021-01-20 13:52:38.000000,1.3.3,54.0,xgboost,conda-forge/xgboost,,https://xgboost.readthedocs.io/en/latest/,,16819.0,15227.0,https://pypi.org/project/xgboost,2021-03-29 01:58:02.000000,1592.0,1575100.0,1605410.0,https://anaconda.org/conda-forge/xgboost,2021-03-09 14:27:32.491000,1484067.0,,,,,1.0,1971.0,,,,,,,,,,,,,,,,,,,,,,\n22,LightGBM,microsoft/LightGBM,,ml-frameworks,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000000,2021-04-01 13:51:24.000000,2021-04-01 13:51:24.000000,3246,106.0,2085.0,12375,2432.0,\"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..\",216.0,35,True,2021-03-22 15:04:09.000000,3.2.0,25.0,lightgbm,conda-forge/lightgbm,,,,6772.0,6216.0,https://pypi.org/project/lightgbm,2021-03-22 15:04:09.000000,556.0,1014294.0,1028369.0,https://anaconda.org/conda-forge/lightgbm,2021-03-22 18:06:45.738000,536011.0,,,,,1.0,103880.0,,,,,,,,,,,,,,,,,,,,,,\n23,Plotly,plotly/plotly.py,,data-viz,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000000,2021-03-31 00:03:21.000000,2021-01-14 02:04:12.000000,1786,857.0,1061.0,9217,4923.0,The interactive graphing library for Python (includes Plotly Express).,162.0,35,True,2021-01-12 17:01:21.000000,4.14.3,265.0,plotly,conda-forge/plotly,,,,4991.0,5.0,https://pypi.org/project/plotly,2021-01-12 16:12:40.000000,4982.0,1773636.0,2042582.0,https://anaconda.org/conda-forge/plotly,2021-01-12 17:11:42.117000,1287974.0,,,,,1.0,,,,plotlywidget,https://www.npmjs.com/package/plotlywidget,2021-01-12 16:09:46.133000,4.0,245947.0,,,,,,,,,,,,,,,\n24,torchvision,pytorch/vision,,image,https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000000,2021-04-01 11:42:41.000000,2021-03-31 14:59:08.000000,4488,434.0,1203.0,8718,1597.0,\"Datasets, Transforms and Models specific to Computer Vision.\",372.0,35,True,2021-03-25 17:51:25.000000,0.9.1,23.0,torchvision,conda-forge/torchvision,,,['pytorch'],50022.0,45410.0,https://pypi.org/project/torchvision,2021-03-25 16:28:06.000000,4612.0,425374.0,426481.0,https://anaconda.org/conda-forge/torchvision,2021-03-16 19:13:13.221000,44301.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n25,SymPy,sympy/sympy,,others,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000000,2021-04-01 15:10:07.000000,2021-04-01 14:53:11.000000,3363,4129.0,7187.0,7954,46409.0,A computer algebra system written in pure Python.,1050.0,35,True,2020-12-12 23:23:00.000000,1.7.1,36.0,sympy,conda-forge/sympy,,,,36639.0,30217.0,https://pypi.org/project/sympy,2020-12-12 23:23:00.000000,6422.0,340267.0,368081.0,https://anaconda.org/conda-forge/sympy,2021-01-08 20:38:32.429000,1374763.0,,,,,1.0,419721.0,,,,,,,,,,,,,,,,,,,,,,\n26,Arrow,apache/arrow,,data-containers,https://github.com/apache/arrow,https://github.com/apache/arrow,Apache-2.0,2016-02-17 08:00:23.000000,2021-04-01 14:31:56.000000,2021-04-01 14:31:53.000000,1847,153.0,578.0,7648,8873.0,Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-..,654.0,35,True,2021-01-26 01:05:45.000000,3.0.0,30.0,pyarrow,conda-forge/arrow,,,,1023.0,37.0,https://pypi.org/project/pyarrow,2021-01-26 01:05:45.000000,986.0,11125473.0,11134230.0,https://anaconda.org/conda-forge/arrow,2021-03-07 23:47:25.555000,516683.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n27,Tensorboard,tensorflow/tensorboard,,ml-experiments,https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000000,2021-03-31 20:17:16.000000,2021-03-31 20:17:15.000000,1373,552.0,951.0,5237,4396.0,TensorFlow's Visualization Toolkit.,254.0,35,True,2021-01-14 20:49:19.000000,2.4.1,36.0,tensorboard,conda-forge/tensorboard,,,['tensorflow'],62316.0,58702.0,https://pypi.org/project/tensorboard,2021-01-14 20:49:19.000000,3614.0,2952842.0,2997480.0,https://anaconda.org/conda-forge/tensorboard,2021-01-15 08:30:57.960000,1830181.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n28,joblib,joblib/joblib,,data-pipelines,https://github.com/joblib/joblib,https://github.com/joblib/joblib,BSD-3-Clause,2010-05-07 06:48:26.000000,2021-03-23 12:16:17.000000,2021-03-18 10:07:06.000000,286,291.0,357.0,2395,1369.0,Computing with Python functions.,99.0,35,True,2021-02-09 16:46:29.000000,1.0.1,100.0,joblib,conda-forge/joblib,,,,97484.0,90874.0,https://pypi.org/project/joblib,2021-02-09 16:46:29.000000,6610.0,11143166.0,11207330.0,https://anaconda.org/conda-forge/joblib,2021-02-09 19:26:28.194000,3657388.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n29,h5py,h5py/h5py,,data-containers,https://github.com/h5py/h5py,https://github.com/h5py/h5py,BSD-3-Clause,2012-09-21 00:40:02.000000,2021-03-30 08:35:34.000000,2021-03-30 08:29:01.000000,399,217.0,973.0,1503,3616.0,HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.,161.0,35,True,2021-03-05 10:04:46.000000,3.2.1,27.0,h5py,conda-forge/h5py,,,,131012.0,108076.0,https://pypi.org/project/h5py,2021-03-05 10:24:13.000000,22936.0,2996893.0,3077011.0,https://anaconda.org/conda-forge/h5py,2021-01-01 10:48:16.133000,4886071.0,,,,,1.0,942.0,,,,,,,,,,,,,,,,,,,,,,\n30,MXNet,apache/incubator-mxnet,,ml-frameworks,https://github.com/apache/incubator-mxnet,https://github.com/apache/incubator-mxnet,Apache-2.0,2015-04-30 16:21:15.000000,2021-04-01 09:15:19.000000,2021-03-31 19:35:11.000000,6817,1862.0,7591.0,19367,11559.0,\"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..\",954.0,34,True,2021-03-21 14:56:00.000000,1.8.0,980.0,mxnet,mxnet,,,['mxnet'],2354.0,1910.0,https://pypi.org/project/mxnet,2021-03-31 20:05:38.000000,444.0,84347.0,84896.0,https://anaconda.org/anaconda/mxnet,2020-02-29 00:58:31.007000,5967.0,,,,,2.0,23657.0,,,,,,,,0.0,,,,,,,,,,,,,,\n31,dash,plotly/dash,,data-viz,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000000,2021-04-01 07:04:10.000000,2021-03-10 16:09:10.000000,1450,417.0,565.0,14229,3543.0,\"Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.\",74.0,34,True,2021-01-20 00:00:50.000000,1.19.0,137.0,dash,conda-forge/dash,,,,20474.0,18866.0,https://pypi.org/project/dash,2021-01-19 23:50:28.000000,1608.0,135202.0,141897.0,https://anaconda.org/conda-forge/dash,2021-01-21 16:17:38.594000,234325.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n32,shap,slundberg/shap,,interpretability,https://github.com/slundberg/shap,https://github.com/slundberg/shap,MIT,2016-11-22 19:17:08.000000,2021-03-31 22:12:18.000000,2021-03-04 22:26:19.000000,1764,997.0,512.0,12178,1926.0,A game theoretic approach to explain the output of any machine learning model.,156.0,34,True,2021-03-03 18:38:33.000000,0.39.0,93.0,shap,conda-forge/shap,,,,2384.0,2248.0,https://pypi.org/project/shap,2021-01-15 21:02:34.000000,136.0,829952.0,843310.0,https://anaconda.org/conda-forge/shap,2020-12-16 19:26:39.477000,427462.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n33,Theano,Theano/Theano,,ml-frameworks,https://github.com/Theano/Theano,https://github.com/Theano/Theano,BSD-3-Clause,2011-08-10 03:48:06.000000,2021-03-02 07:51:50.000000,2021-03-02 07:51:50.000000,2517,673.0,2083.0,9385,28124.0,\"Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-..\",383.0,34,True,2020-07-27 16:13:54.000000,1.0.5,45.0,theano,conda-forge/theano,,,,16018.0,10544.0,https://pypi.org/project/theano,2020-07-27 16:13:54.000000,5474.0,100264.0,125173.0,https://anaconda.org/conda-forge/theano,2021-01-21 21:14:21.756000,1419852.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n34,PyFlink,apache/flink,,ml-frameworks,https://github.com/apache/flink,https://github.com/apache/flink,Apache-2.0,2014-06-07 07:00:10.000000,2021-04-01 13:53:23.000000,2021-04-01 12:30:02.000000,8655,499.0,,15888,26428.0,Apache Flink Python API.,1229.0,33,True,2021-01-15 01:51:44.000000,1.12.1,13.0,apache-flink,,,,,270.0,270.0,https://pypi.org/project/apache-flink,2021-01-15 01:51:44.000000,0.0,1538.0,1538.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n35,Bokeh,bokeh/bokeh,,data-viz,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000000,2021-04-01 10:06:46.000000,2021-03-31 03:43:42.000000,3679,665.0,5832.0,14915,,\"Interactive Data Visualization in the browser, from Python.\",552.0,33,True,2021-02-24 19:44:29.000000,2.3.0,91.0,bokeh,conda-forge/bokeh,,,,37584.0,31712.0,https://pypi.org/project/bokeh,2021-03-30 04:26:50.000000,5872.0,440556.0,525908.0,https://anaconda.org/conda-forge/bokeh,2021-03-01 11:07:11.701000,4096933.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n36,luigi,spotify/luigi,,data-pipelines,https://github.com/spotify/luigi,https://github.com/spotify/luigi,Apache-2.0,2012-09-20 15:06:38.000000,2021-04-01 08:53:52.000000,2021-03-31 13:10:54.000000,2239,75.0,840.0,14376,3952.0,\"Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution,..\",552.0,33,True,2021-02-18 19:24:47.000000,3.0.2,72.0,luigi,luigi,,,,2039.0,1363.0,https://pypi.org/project/luigi,2020-09-23 11:57:12.000000,676.0,259117.0,259227.0,https://anaconda.org/anaconda/luigi,2021-02-20 16:21:48.759000,6863.0,,,,,1.0,,stable/luigi,1.0,,,,,,0.0,,,,,,,,,,,,,,\n37,pytorch-lightning,PyTorchLightning/pytorch-lightning,,ml-frameworks,https://github.com/PyTorchLightning/pytorch-lightning,https://github.com/PyTorchLightning/pytorch-lightning,Apache-2.0,2019-03-31 00:45:57.000000,2021-04-01 13:37:47.000000,2021-04-01 10:43:23.000000,1487,285.0,2817.0,12778,4638.0,\"The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.\",413.0,33,True,2021-03-30 14:46:01.000000,1.2.6,159.0,pytorch-lightning,conda-forge/pytorch-lightning,,,['pytorch'],2410.0,2396.0,https://pypi.org/project/pytorch-lightning,2021-03-24 15:29:32.000000,14.0,86796.0,95711.0,https://anaconda.org/conda-forge/pytorch-lightning,2021-03-30 18:38:19.480000,89070.0,,,,,2.0,174.0,,,,,,,,,,,,,,,,,,,,,,\n38,onnx,onnx/onnx,,model-serialisation,https://github.com/onnx/onnx,https://github.com/onnx/onnx,Apache-2.0,2017-09-07 04:53:45.000000,2021-04-01 14:47:53.000000,2021-03-31 23:34:49.000000,1863,540.0,989.0,9989,1713.0,Open standard for machine learning interoperability.,193.0,33,True,2021-01-30 01:25:24.000000,1.8.1,20.0,onnx,conda-forge/onnx,,,,3075.0,2779.0,https://pypi.org/project/onnx,2021-01-29 23:57:20.000000,296.0,359924.0,365332.0,https://anaconda.org/conda-forge/onnx,2021-03-22 08:13:24.059000,210825.0,,,,,1.0,11198.0,,,,,,,,,,,,,,,,,,,,,,\n39,nltk,nltk/nltk,,nlp,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58.000000,2021-03-31 14:23:42.000000,2021-03-28 22:39:13.000000,2449,238.0,1232.0,9744,,Suite of libraries and programs for symbolic and statistical natural language processing for English.,390.0,33,True,2019-08-20 10:55:21.000000,3.4.5,39.0,nltk,conda-forge/nltk,,,,115165.0,94173.0,https://pypi.org/project/nltk,2020-04-12 23:46:10.000000,20992.0,3146041.0,3157528.0,https://anaconda.org/conda-forge/nltk,2021-03-23 13:26:03.357000,643302.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n40,networkx,networkx/networkx,,graph,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44.000000,2021-04-01 03:46:24.000000,2021-03-30 17:55:09.000000,2239,275.0,2326.0,8859,,Network Analysis in Python.,504.0,33,True,2020-08-22 20:10:33.000000,networkx-2.5,52.0,networkx,conda-forge/networkx,,,,91215.0,70397.0,https://pypi.org/project/networkx,2020-08-22 20:38:37.000000,20818.0,3309083.0,3370364.0,https://anaconda.org/conda-forge/networkx,2020-08-23 19:29:02.065000,3309204.0,,,,,1.0,51.0,,,,,,,,,,,,,,,,,,,,,,\n41,pydeck,visgl/deck.gl,,geospatial-data,https://github.com/visgl/deck.gl,https://github.com/visgl/deck.gl,MIT,2015-12-15 08:38:29.000000,2021-03-31 18:27:04.000000,2021-03-31 18:24:46.000000,1534,84.0,2005.0,8555,3595.0,WebGL2 powered geospatial visualization layers.,157.0,33,True,2021-03-22 18:50:46.141000,8.4.11,462.0,pydeck,conda-forge/pydeck,,,['jupyter'],2061.0,1499.0,https://pypi.org/project/pydeck,2021-02-12 18:57:45.000000,2.0,81108.0,299019.0,https://anaconda.org/conda-forge/pydeck,2021-02-12 20:05:23.366000,22216.0,,,,,1.0,,,,deck.gl,https://www.npmjs.com/package/deck.gl,2021-03-22 21:45:34.518000,560.0,216325.0,,,,,,,,,,,,,,,\n42,dask,dask/dask,,distributed-ml,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000000,2021-04-01 14:37:38.000000,2021-03-31 02:10:19.000000,1256,730.0,2954.0,8134,,Parallel computing with task scheduling.,440.0,33,True,2021-03-26 20:06:55.000000,2021.3.1,114.0,dask,conda-forge/dask,,,,30195.0,26279.0,https://pypi.org/project/dask,2021-03-26 20:06:55.000000,3916.0,1290054.0,1344010.0,https://anaconda.org/conda-forge/dask,2021-03-27 03:27:37.130000,3183453.0,,,,,1.0,,stable/dask,,,,,,,,,,,,,,,,,,,,,\n43,rq,rq/rq,,data-pipelines,https://github.com/rq/rq,https://github.com/rq/rq,BSD-3-Clause,2011-11-14 10:53:48.000000,2021-04-01 06:23:18.000000,2021-04-01 06:23:18.000000,1214,144.0,692.0,7603,1558.0,Simple job queues for Python.,230.0,33,True,2020-11-29 09:48:18.000000,1.7.0,63.0,rq,conda-forge/rq,,,,10926.0,7602.0,https://pypi.org/project/rq,2020-11-29 09:47:08.000000,3324.0,157093.0,157937.0,https://anaconda.org/conda-forge/rq,2021-03-31 04:46:34.734000,48146.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n44,scikit-image,scikit-image/scikit-image,,image,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,BSD-2-Clause,2011-07-07 22:07:20.000000,2021-04-01 12:00:46.000000,2021-03-31 12:22:41.000000,1776,674.0,1504.0,4265,,Image processing in Python.,485.0,33,True,2021-01-19 08:17:34.000000,0.18.1,35.0,scikit-image,conda-forge/scikit-image,,,,79180.0,64406.0,https://pypi.org/project/scikit-image,2020-12-23 06:36:46.000000,14774.0,938303.0,977590.0,https://anaconda.org/conda-forge/scikit-image,2021-01-21 20:53:16.554000,2317972.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n45,TensorFlow Datasets,tensorflow/datasets,,data-loading,https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000000,2021-04-01 12:44:43.000000,2021-04-01 12:44:32.000000,979,425.0,555.0,2724,3878.0,\"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...\",196.0,33,True,2021-01-07 09:50:58.000000,4.2.0,21.0,tensorflow-datasets,,,,['tensorflow'],4203.0,4101.0,https://pypi.org/project/tensorflow-datasets,2021-01-07 09:50:58.000000,102.0,462979.0,462979.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n46,Fastai,fastai/fastai,,ml-frameworks,https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000000,2021-03-31 06:04:10.000000,2021-03-31 06:04:07.000000,6982,92.0,1332.0,20653,1699.0,The fastai deep learning library.,472.0,32,True,2021-03-31 06:04:10.000000,2.3.0,118.0,fastai,,,,['pytorch'],368.0,,https://pypi.org/project/fastai,2021-02-22 04:01:38.000000,368.0,102624.0,102624.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n47,Ray,ray-project/ray,,distributed-ml,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000000,2021-04-01 15:07:21.000000,2021-04-01 15:04:44.000000,2509,1463.0,4981.0,15436,7702.0,\"An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged..\",462.0,32,True,2021-02-13 01:42:06.000000,ray-1.2.0,44.0,ray,,,,,1988.0,1828.0,https://pypi.org/project/ray,2021-02-13 01:38:33.000000,160.0,169945.0,169945.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n48,jax,google/jax,,ml-frameworks,https://github.com/google/jax,https://github.com/google/jax,Apache-2.0,2018-10-25 21:25:02.000000,2021-04-01 14:04:00.000000,2021-04-01 14:03:54.000000,1073,778.0,1528.0,12125,7491.0,\"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.\",274.0,32,True,2021-03-24 03:14:53.000000,0.2.11,90.0,jax,conda-forge/jaxlib,,,,1360.0,1314.0,https://pypi.org/project/jax,2021-03-24 03:14:53.000000,46.0,66346.0,70932.0,https://anaconda.org/conda-forge/jaxlib,2021-03-19 01:25:16.119000,96315.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n49,AllenNLP,allenai/allennlp,,nlp,https://github.com/allenai/allennlp,https://github.com/allenai/allennlp,Apache-2.0,2017-05-15 15:52:41.000000,2021-04-01 12:30:33.000000,2021-03-31 21:26:37.000000,2032,109.0,2205.0,9870,2357.0,\"An open-source NLP research library, built on PyTorch.\",236.0,32,True,2021-03-26 17:23:24.000000,2.2.0,179.0,allennlp,,,,['pytorch'],1762.0,1528.0,https://pypi.org/project/allennlp,2021-03-31 11:51:43.000000,234.0,12484.0,12484.0,,,,,,,,1.0,37.0,,,,,,,,,,,,,,,,,,,,,,\n50,mlflow,mlflow/mlflow,,ml-experiments,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000000,2021-04-01 10:45:24.000000,2021-03-31 19:47:44.000000,1949,749.0,1060.0,8689,1941.0,Open source platform for the machine learning lifecycle.,284.0,32,True,2021-03-26 20:13:29.000000,1.15.0,43.0,mlflow,conda-forge/mlflow,,,,154.0,,https://pypi.org/project/mlflow,2021-03-26 19:41:04.000000,154.0,1580628.0,1591641.0,https://anaconda.org/conda-forge/mlflow,2021-03-30 16:27:28.350000,264326.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n51,StatsModels,statsmodels/statsmodels,,ml-frameworks,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000000,2021-04-01 02:40:33.000000,2021-03-25 19:24:15.000000,2199,2085.0,2303.0,6175,,Statsmodels: statistical modeling and econometrics in Python.,305.0,32,True,2021-02-02 11:08:49.000000,0.12.2,25.0,statsmodels,conda-forge/statsmodels,,,,46295.0,39639.0,https://pypi.org/project/statsmodels,2021-02-02 11:08:49.000000,6656.0,1326453.0,1390019.0,https://anaconda.org/conda-forge/statsmodels,2021-02-15 17:38:00.380000,3686869.0,,,,,2.0,25.0,,-4.0,,,,,,,,,,,,,,,,,,,,\n52,PyMC3,pymc-devs/pymc3,,probabilistics,https://github.com/pymc-devs/pymc3,https://github.com/pymc-devs/pymc3,Apache-2.0,2009-05-05 09:43:50.000000,2021-04-01 02:30:07.000000,2021-03-27 20:54:13.000000,1367,175.0,2028.0,5654,7689.0,Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara.,311.0,32,True,2021-03-14 22:31:10.000000,3.11.2,33.0,pymc3,conda-forge/pymc3,,,,2510.0,2224.0,https://pypi.org/project/pymc3,2021-03-14 22:31:10.000000,286.0,82398.0,87276.0,https://anaconda.org/conda-forge/pymc3,2021-03-15 13:12:28.868000,263402.0,,,,,1.0,151.0,,,,,,,,,,,,,,,,,,,,,,\n53,folium,python-visualization/folium,,geospatial-data,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000000,2021-03-17 20:18:35.000000,2021-03-09 08:53:19.000000,1933,158.0,693.0,5206,1474.0,Python Data. Leaflet.js Maps.,121.0,32,True,2021-01-18 17:29:40.000000,0.12.1,25.0,folium,conda-forge/folium,,,,10141.0,9173.0,https://pypi.org/project/folium,2021-01-18 17:29:40.000000,968.0,142462.0,148110.0,https://anaconda.org/conda-forge/folium,2021-03-12 17:41:57.124000,344587.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n54,Beam,apache/beam,,data-pipelines,https://github.com/apache/beam,https://github.com/apache/beam,Apache-2.0,2016-02-02 08:00:06.000000,2021-04-01 14:41:17.000000,2021-04-01 03:46:39.000000,2923,155.0,,4699,31329.0,\"Unified programming model to define and execute data processing pipelines, including ETL, batch and stream processing.\",1034.0,32,True,2021-02-22 21:19:14.000000,2.28.0,30.0,apache-beam,,,,,186.0,,https://pypi.org/project/apache-beam,2021-01-08 20:08:17.000000,186.0,935651.0,935651.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n55,geopy,geopy/geopy,,geospatial-data,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000000,2021-04-01 06:38:08.000000,2021-03-27 23:32:15.000000,535,25.0,220.0,3267,1030.0,Geocoding library for Python.,121.0,32,True,2020-12-27 13:15:23.000000,2.1.0,57.0,geopy,conda-forge/geopy,,,,25534.0,18290.0,https://pypi.org/project/geopy,2020-12-27 13:12:21.000000,7244.0,2108809.0,2117468.0,https://anaconda.org/conda-forge/geopy,2020-12-27 14:22:55.127000,528220.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n56,tensorflow-hub,tensorflow/hub,,tensorflow-utils,https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42.000000,2021-03-31 23:34:33.000000,2021-03-31 23:34:29.000000,1465,45.0,532.0,2769,862.0,A library for transfer learning by reusing parts of TensorFlow models.,69.0,32,True,2021-01-06 16:20:30.000000,0.11.0,14.0,tensorflow-hub,conda-forge/tensorflow-hub,,,['tensorflow'],6231.0,5917.0,https://pypi.org/project/tensorflow-hub,2021-01-06 16:20:30.000000,314.0,505538.0,507034.0,https://anaconda.org/conda-forge/tensorflow-hub,2020-08-24 16:43:36.561000,50879.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n57,Thinc,explosion/thinc,,ml-frameworks,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59.000000,2021-03-30 22:50:29.000000,2021-03-09 12:00:12.000000,205,14.0,90.0,2235,4913.0,\"A refreshing functional take on deep learning, compatible with your favorite libraries.\",36.0,32,True,2021-03-09 14:57:52.000000,8.0.2,189.0,thinc,conda-forge/thinc,,,,13245.0,12107.0,https://pypi.org/project/thinc,2021-03-09 12:42:58.000000,1138.0,608194.0,627726.0,https://anaconda.org/conda-forge/thinc,2021-03-11 09:08:45.723000,976649.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n58,Shapely,Toblerity/Shapely,,geospatial-data,https://github.com/Toblerity/Shapely,https://github.com/Toblerity/Shapely,BSD-3-Clause,2011-12-31 19:43:11.000000,2021-03-31 12:05:19.000000,2021-03-30 15:36:27.000000,388,118.0,610.0,2203,1507.0,Manipulation and analysis of geometric objects.,112.0,32,True,2020-08-20 23:31:01.000000,1.7.1,100.0,shapely,conda-forge/shapely,,,,22845.0,17387.0,https://pypi.org/project/shapely,2021-03-04 00:27:13.000000,5458.0,1395933.0,1429423.0,https://anaconda.org/conda-forge/shapely,2021-03-05 11:50:12.482000,2210375.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n59,xarray,pydata/xarray,,data-containers,https://github.com/pydata/xarray,https://github.com/pydata/xarray,Apache-2.0,2013-09-30 17:21:10.000000,2021-04-01 14:52:50.000000,2021-04-01 10:23:53.000000,652,811.0,1969.0,1988,3588.0,N-D labeled arrays and datasets in Python.,305.0,32,True,2021-02-26 06:45:07.000000,0.17.0,56.0,xarray,conda-forge/xarray,,,,6752.0,5620.0,https://pypi.org/project/xarray,2021-02-26 06:36:47.000000,1132.0,185355.0,228432.0,https://anaconda.org/conda-forge/xarray,2021-02-26 13:38:06.610000,2627707.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n60,xlrd,python-excel/xlrd,,data-loading,https://github.com/python-excel/xlrd,https://github.com/python-excel/xlrd,BSD-3-Clause,2012-03-07 04:50:48.000000,2021-01-09 20:35:27.639000,2020-12-12 15:24:25.000000,414,3.0,,1876,502.0,Please use openpyxl where you can...,50.0,32,True,2020-12-11 10:14:20.000000,2.0.1,24.0,xlrd,conda-forge/xlrd,,,,81112.0,67538.0,https://pypi.org/project/xlrd,2020-12-11 10:14:20.000000,13574.0,3111265.0,3137766.0,https://anaconda.org/conda-forge/xlrd,2021-01-09 20:35:27.639000,1298569.0,,,,,1.0,,,-2.0,,,,,,,,,,,,,,,,,,,,\n61,python-magic,ahupp/python-magic,,data-loading,https://github.com/ahupp/python-magic,https://github.com/ahupp/python-magic,MIT,2010-03-31 22:40:33.000000,2021-03-05 04:33:25.716000,2021-02-17 04:01:28.000000,218,28.0,132.0,1860,279.0,A python wrapper for libmagic.,49.0,32,True,2021-02-17 06:19:13.000000,0.4.22,22.0,python-magic,conda-forge/python-magic,,,,18035.0,12903.0,https://pypi.org/project/python-magic,2021-02-17 06:19:13.000000,5132.0,910109.0,911829.0,https://anaconda.org/conda-forge/python-magic,2021-03-05 04:33:25.716000,82562.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n62,DeepSpeech,mozilla/DeepSpeech,,audio,https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53.000000,2021-03-31 15:32:56.000000,2021-03-31 12:02:03.000000,3121,106.0,1873.0,16945,3396.0,\"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..\",160.0,31,True,2020-12-10 17:22:09.000000,0.9.3,100.0,deepspeech,,,,['tensorflow'],501.0,443.0,https://pypi.org/project/deepspeech,2020-12-19 10:05:12.000000,58.0,7263.0,23031.0,,,,,,,,1.0,488825.0,,,,,,,,,,,,,,,,,,,,,,\n63,fairseq,pytorch/fairseq,,nlp,https://github.com/pytorch/fairseq,https://github.com/pytorch/fairseq,MIT,2017-08-29 16:26:12.000000,2021-04-01 10:03:15.000000,2021-04-01 00:09:00.000000,2985,745.0,1862.0,11671,1850.0,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,318.0,31,True,2021-01-05 20:26:45.000000,0.10.2,13.0,fairseq,,,,['pytorch'],350.0,330.0,https://pypi.org/project/fairseq,2021-01-05 20:26:45.000000,20.0,9046.0,9049.0,,,,,,,,1.0,110.0,,,,,,,,,,,,,,,,,,,,,,\n64,tensor2tensor,tensorflow/tensor2tensor,,tensorflow-utils,https://github.com/tensorflow/tensor2tensor,https://github.com/tensorflow/tensor2tensor,Apache-2.0,2017-06-15 16:57:39.000000,2021-03-26 03:40:58.000000,2021-03-05 08:15:30.000000,2831,554.0,664.0,11099,4348.0,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,231.0,31,True,2020-06-17 16:15:36.000000,1.15.7,79.0,tensor2tensor,,,,['tensorflow'],1107.0,943.0,https://pypi.org/project/tensor2tensor,2020-06-17 16:15:36.000000,164.0,33195.0,33195.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n65,ChatterBot,gunthercox/ChatterBot,,nlp,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00.000000,2021-02-22 16:29:16.000000,2020-08-20 21:16:14.000000,3700,246.0,1228.0,10991,1847.0,\"ChatterBot is a machine learning, conversational dialog engine for creating chat bots.\",103.0,31,True,2020-08-22 18:42:43.000000,1.0.8,86.0,chatterbot,,,,,3957.0,3277.0,https://pypi.org/project/chatterbot,2020-08-22 18:40:36.000000,680.0,19763.0,19763.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n66,imgaug,aleju/imgaug,,image,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33.000000,2020-10-19 12:23:22.000000,2020-06-01 14:58:26.000000,2014,226.0,211.0,10900,2913.0,Image augmentation for machine learning experiments.,36.0,31,True,2020-02-06 06:18:40.000000,0.4.0,11.0,imgaug,conda-forge/imgaug,,,,6319.0,5763.0,https://pypi.org/project/imgaug,2020-02-05 20:54:22.000000,556.0,78441.0,80107.0,https://anaconda.org/conda-forge/imgaug,2020-02-14 16:06:53.525000,36660.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n67,dlib,davisking/dlib,,ml-frameworks,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000000,2021-04-01 14:24:08.000000,2021-03-28 13:22:07.000000,2876,50.0,1835.0,10018,7923.0,A toolkit for making real world machine learning and data analysis applications in C++.,164.0,31,False,2021-03-28 13:36:18.000000,19.22,28.0,dlib,conda-forge/dlib,,,,10317.0,8959.0,https://pypi.org/project/dlib,2020-12-04 19:23:04.000000,1358.0,37183.0,42795.0,https://anaconda.org/conda-forge/dlib,2021-01-14 21:24:20.585000,289485.0,,,,,2.0,24476.0,,,,,,,,,,,,,,,,,,,,,,\n68,wordcloud,amueller/word_cloud,,data-viz,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59.000000,2021-03-21 10:56:17.000000,2021-03-01 23:14:14.000000,2025,97.0,349.0,7975,543.0,A little word cloud generator in Python.,61.0,31,True,2020-11-11 21:41:02.000000,1.8.1,16.0,wordcloud,conda-forge/wordcloud,,,,10860.0,9756.0,https://pypi.org/project/wordcloud,2020-11-11 21:41:02.000000,1104.0,145280.0,148856.0,https://anaconda.org/conda-forge/wordcloud,2021-01-14 18:03:24.960000,200297.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n69,Chainer,chainer/chainer,,ml-frameworks,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37.000000,2021-02-17 11:20:21.000000,2021-02-17 11:20:21.000000,1374,18.0,2019.0,5551,30575.0,A flexible framework of neural networks for deep learning.,318.0,31,True,2021-01-13 10:14:54.000000,7.0.0.post1,109.0,chainer,,,,,2746.0,2004.0,https://pypi.org/project/chainer,2021-01-13 09:29:55.000000,742.0,9037.0,9037.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n70,imbalanced-learn,scikit-learn-contrib/imbalanced-learn,,sklearn-utils,https://github.com/scikit-learn-contrib/imbalanced-learn,https://github.com/scikit-learn-contrib/imbalanced-learn,MIT,2014-08-16 05:08:26.000000,2021-03-19 17:23:57.000000,2021-03-02 21:30:35.000000,1081,34.0,423.0,5138,736.0,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,55.0,31,True,2021-02-18 14:00:33.000000,0.8.0,27.0,imbalanced-learn,conda-forge/imbalanced-learn,,,['sklearn'],4915.0,4635.0,https://pypi.org/project/imbalanced-learn,2021-02-18 13:50:00.000000,280.0,506390.0,509231.0,https://anaconda.org/conda-forge/imbalanced-learn,2021-02-18 15:40:00.937000,119322.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n71,CuPy,cupy/cupy,,gpu-utilities,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000000,2021-04-01 13:48:44.506000,2021-04-01 02:16:29.000000,450,339.0,986.0,4957,21388.0,A NumPy-compatible array library accelerated by CUDA.,259.0,31,True,2021-03-25 06:50:48.000000,8.6.0,90.0,cupy,conda-forge/cupy,cupy/cupy,,,888.0,696.0,https://pypi.org/project/cupy,2021-03-25 03:02:42.000000,192.0,25314.0,53240.0,https://anaconda.org/conda-forge/cupy,2021-04-01 13:48:44.506000,481748.0,https://hub.docker.com/r/cupy/cupy,2021-04-01 02:23:22.576868,6.0,49346.0,1.0,11628.0,,,,,,,,,,,,,,,,,,,,,,\n72,sentencepiece,google/sentencepiece,,nlp,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000000,2021-03-22 17:57:00.000000,2021-02-25 16:25:37.000000,657,31.0,402.0,4914,667.0,Unsupervised text tokenizer for Neural Network-based text generation.,50.0,31,True,2021-01-10 06:29:42.000000,0.1.95,30.0,sentencepiece,conda-forge/sentencepiece,,,,6841.0,6601.0,https://pypi.org/project/sentencepiece,2021-01-10 06:29:42.000000,240.0,626472.0,631402.0,https://anaconda.org/conda-forge/sentencepiece,2021-02-09 05:49:50.247000,41050.0,,,,,1.0,11838.0,,,,,,,,,,,,,,,,,,,,,,\n73,Optuna,optuna/optuna,,hyperopt,https://github.com/optuna/optuna,https://github.com/optuna/optuna,MIT,2018-02-21 06:12:56.000000,2021-04-01 12:51:52.000000,2021-04-01 12:51:52.000000,488,202.0,579.0,4340,9608.0,A hyperparameter optimization framework.,131.0,31,True,2021-03-08 06:45:10.000000,2.6.0,36.0,optuna,conda-forge/optuna,,,,1161.0,1109.0,https://pypi.org/project/optuna,2021-03-08 06:45:10.000000,52.0,148630.0,149927.0,https://anaconda.org/conda-forge/optuna,2021-03-09 02:43:25.559000,22065.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n74,xmltodict,martinblech/xmltodict,,data-loading,https://github.com/martinblech/xmltodict,https://github.com/martinblech/xmltodict,MIT,2012-04-17 14:38:21.000000,2021-02-08 17:46:25.000000,2020-04-26 05:15:03.000000,418,70.0,136.0,4328,205.0,Python module that makes working with XML feel like you are working with JSON.,41.0,31,True,2019-02-11 07:00:26.000000,0.12.0,27.0,xmltodict,conda-forge/xmltodict,,,,31307.0,23073.0,https://pypi.org/project/xmltodict,2019-02-11 07:00:26.000000,8234.0,2724071.0,2737958.0,https://anaconda.org/conda-forge/xmltodict,2019-02-11 11:53:14.803000,777680.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n75,Tablib,jazzband/tablib,,data-loading,https://github.com/jazzband/tablib,https://github.com/jazzband/tablib,MIT,2011-03-28 02:36:50.000000,2021-03-01 12:38:44.000000,2021-03-01 12:38:44.000000,563,34.0,198.0,3883,1124.0,\"Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c.\",111.0,31,True,2020-12-05 14:56:28.000000,3.0.0,38.0,tablib,conda-forge/tablib,,,,12133.0,9775.0,https://pypi.org/project/tablib,2020-12-05 14:56:28.000000,2358.0,350223.0,351345.0,https://anaconda.org/conda-forge/tablib,2020-12-05 16:40:48.469000,59468.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n76,tensorflow-probability,tensorflow/probability,,probabilistics,https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000000,2021-04-01 13:02:37.000000,2021-04-01 13:02:34.000000,853,432.0,562.0,3265,10415.0,Probabilistic reasoning and statistical analysis in TensorFlow.,408.0,31,True,2020-12-29 18:40:25.000000,0.12.1,35.0,tensorflow-probability,conda-forge/tensorflow-probability,,,['tensorflow'],253.0,1.0,https://pypi.org/project/tensorflow-probability,2020-12-29 17:46:08.000000,252.0,199302.0,200569.0,https://anaconda.org/conda-forge/tensorflow-probability,2021-02-10 20:08:40.633000,32953.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n77,GeoPandas,geopandas/geopandas,,geospatial-data,https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000000,2021-03-30 14:23:20.000000,2021-03-18 12:53:36.000000,560,302.0,713.0,2544,1370.0,Python tools for geographic data.,135.0,31,True,2021-02-28 21:10:46.000000,0.9.0,37.0,geopandas,conda-forge/geopandas,,,['pandas'],8952.0,7786.0,https://pypi.org/project/geopandas,2021-02-28 21:10:43.000000,1166.0,342905.0,358004.0,https://anaconda.org/conda-forge/geopandas,2021-03-01 09:07:56.799000,920075.0,,,,,2.0,959.0,,,,,,,,,,,,,,,,,,,,,,\n78,numexpr,pydata/numexpr,,data-containers,https://github.com/pydata/numexpr,https://github.com/pydata/numexpr,MIT,2013-11-30 22:33:48.000000,2021-03-05 20:56:41.232000,2021-03-03 18:33:11.000000,166,53.0,251.0,1565,686.0,\"Fast numerical array expression evaluator for Python, NumPy, PyTables, pandas, bcolz and more.\",57.0,31,True,2021-03-03 18:13:19.000000,2.7.3,40.0,numexpr,conda-forge/numexpr,,,,5482.0,,https://pypi.org/project/numexpr,2021-03-03 18:13:19.000000,5482.0,400405.0,442498.0,https://anaconda.org/conda-forge/numexpr,2021-03-05 20:56:41.232000,2357261.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n79,TF Addons,tensorflow/addons,,tensorflow-utils,https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17.000000,2021-04-01 15:01:31.000000,2021-03-24 14:30:12.000000,421,172.0,640.0,1246,1347.0,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,153.0,31,True,2021-01-30 13:59:33.000000,0.12.1,25.0,tensorflow-addons,,,,['tensorflow'],2623.0,2605.0,https://pypi.org/project/tensorflow-addons,2021-01-30 13:59:33.000000,18.0,258084.0,258084.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n80,dask.distributed,dask/distributed,,distributed-ml,https://github.com/dask/distributed,https://github.com/dask/distributed,BSD-3-Clause,2015-09-13 18:42:29.000000,2021-04-01 14:53:45.000000,2021-04-01 03:27:33.000000,517,755.0,1320.0,1171,,A distributed task scheduler for Dask.,238.0,31,True,2021-02-05 19:40:27.000000,2021.2.0,145.0,distributed,conda-forge/distributed,,,,19119.0,17341.0,https://pypi.org/project/distributed,2021-03-26 20:20:28.000000,1778.0,921732.0,989537.0,https://anaconda.org/conda-forge/distributed,2021-03-27 01:40:39.154000,4000535.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n81,imageio,imageio/imageio,,image,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000000,2021-03-31 17:55:06.000000,2021-03-30 11:06:37.000000,173,67.0,279.0,852,1142.0,Python library for reading and writing image data.,76.0,31,True,2020-07-10 07:45:22.000000,2.9.0,31.0,imageio,conda-forge/imageio,,,,42476.0,38638.0,https://pypi.org/project/imageio,2020-07-06 13:20:41.000000,3838.0,1002156.0,1038016.0,https://anaconda.org/conda-forge/imageio,2020-07-06 14:13:25.518000,1828887.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n82,pyproj,pyproj4/pyproj,,geospatial-data,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000000,2021-04-01 02:46:22.000000,2021-04-01 02:44:05.000000,149,11.0,394.0,592,1129.0,Python interface to PROJ (cartographic projections and coordinate transformations library).,39.0,31,True,2021-03-05 03:06:15.000000,3.0.1,34.0,pyproj,conda-forge/pyproj,,,,11531.0,9069.0,https://pypi.org/project/pyproj,2020-11-05 14:28:45.000000,2462.0,826257.0,858514.0,https://anaconda.org/conda-forge/pyproj,2021-03-05 14:16:16.093000,2064456.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n83,jieba,fxsjy/jieba,,chinese-nlp,https://github.com/fxsjy/jieba,https://github.com/fxsjy/jieba,MIT,2012-09-29 07:52:01.000000,2020-12-05 18:32:32.000000,2020-02-15 08:33:35.000000,6166,601.0,197.0,25883,523.0,Chinese Words Segmentation Utilities.,48.0,30,False,2020-01-20 14:27:23.000000,0.42.1,32.0,jieba,conda-forge/jieba,,,,12142.0,9626.0,https://pypi.org/project/jieba,2020-01-20 14:27:23.000000,2516.0,117501.0,118995.0,https://anaconda.org/conda-forge/jieba,2020-03-25 20:57:40.090000,71718.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n84,PaddlePaddle,PaddlePaddle/Paddle,,ml-frameworks,https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000000,2021-04-01 14:08:31.000000,2021-04-01 11:45:34.000000,3617,2499.0,10592.0,14730,15069.0,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,514.0,30,True,2021-03-15 02:29:29.000000,2.0.1,43.0,paddlepaddle,,,,['paddle'],51.0,35.0,https://pypi.org/project/paddlepaddle,2021-03-05 07:28:12.000000,16.0,4129.0,4401.0,,,,,,,,2.0,15273.0,,,,,,,,,,,,,,,,,,,,,,\n85,zipline,quantopian/zipline,,financial-data,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29.000000,2021-02-14 16:26:07.000000,2020-10-14 16:36:49.000000,3947,339.0,647.0,13663,6226.0,\"Zipline, a Pythonic Algorithmic Trading Library.\",151.0,30,True,2020-10-05 15:46:20.429000,1.4.1,30.0,zipline,,,,,855.0,697.0,https://pypi.org/project/zipline,2020-10-05 15:46:20.429000,158.0,2621.0,2621.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n86,pyecharts,pyecharts/pyecharts,,data-viz,https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000000,2021-02-08 07:14:13.000000,2021-01-19 10:14:13.000000,2388,28.0,1370.0,10771,1512.0,Python Echarts Plotting Library.,30.0,30,True,2020-10-29 15:14:08.000000,1.9.0,66.0,pyecharts,,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,['jupyter'],1826.0,1544.0,https://pypi.org/project/pyecharts,2020-10-29 15:14:08.000000,282.0,13180.0,13180.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n87,flair,flairNLP/flair,,nlp,https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,MIT,2018-06-11 11:04:18.000000,2021-04-01 13:05:13.000000,2021-04-01 13:05:13.000000,1538,104.0,1386.0,10168,3207.0,A very simple framework for state-of-the-art Natural Language Processing (NLP).,171.0,30,True,2021-03-05 11:57:03.000000,0.8,21.0,flair,,,,['pytorch'],722.0,674.0,https://pypi.org/project/flair,2021-03-08 23:08:40.000000,48.0,32709.0,32709.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n88,DVC,iterative/dvc,,ml-experiments,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000000,2021-04-01 13:52:33.000000,2021-04-01 08:31:56.000000,722,567.0,2280.0,7625,6476.0,Data Version Control | Git for Data & Models.,215.0,30,True,2021-03-30 21:09:34.000000,2.0.15,314.0,dvc,conda-forge/dvc,,,,844.0,798.0,https://pypi.org/project/dvc,2021-03-30 21:09:34.000000,46.0,42870.0,71708.0,https://anaconda.org/conda-forge/dvc,2021-03-31 12:32:27.401000,562305.0,,,,,1.0,20625.0,,,,,,,,,dvc,dvc,dvc,,,,,,,,,,,\n89,Vowpal Wabbit,VowpalWabbit/vowpal_wabbit,,ml-frameworks,https://github.com/VowpalWabbit/vowpal_wabbit,https://github.com/VowpalWabbit/vowpal_wabbit,BSD-3-Clause,2009-07-31 19:36:58.000000,2021-04-01 14:04:46.000000,2021-03-31 20:47:01.000000,1730,156.0,886.0,7510,9104.0,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,298.0,30,True,2021-03-04 18:13:37.000000,8.9.2,14.0,vowpalwabbit,,,,,125.0,109.0,https://pypi.org/project/vowpalwabbit,2020-11-12 14:41:09.000000,16.0,10496.0,10496.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n90,Altair,altair-viz/altair,,data-viz,https://github.com/altair-viz/altair,https://github.com/altair-viz/altair,BSD-3-Clause,2015-09-19 03:14:04.000000,2021-03-26 17:09:52.000000,2021-02-24 21:20:32.000000,580,292.0,1308.0,6531,3063.0,Declarative statistical visualization library for Python.,126.0,30,True,2020-04-01 13:29:16.000000,4.1.0,26.0,altair,conda-forge/altair,,,,9813.0,9443.0,https://pypi.org/project/altair,2020-04-01 13:23:10.000000,370.0,385269.0,397068.0,https://anaconda.org/conda-forge/altair,2020-04-01 16:49:36.519000,672589.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n91,Prefect,PrefectHQ/prefect,,data-pipelines,https://github.com/PrefectHQ/prefect,https://github.com/PrefectHQ/prefect,Apache-2.0,2018-06-29 21:59:26.000000,2021-04-01 12:36:59.000000,2021-03-31 19:29:09.000000,551,286.0,1384.0,6065,13657.0,The easiest way to automate your data.,195.0,30,True,2021-03-26 00:26:03.000000,0.14.14,91.0,prefect,conda-forge/prefect,,,,295.0,293.0,https://pypi.org/project/prefect,2021-03-24 22:42:17.000000,2.0,24086.0,27359.0,https://anaconda.org/conda-forge/prefect,2021-03-26 03:16:35.162000,81847.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n92,Catboost,catboost/catboost,,ml-frameworks,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000000,2021-04-01 12:05:59.000000,2021-04-01 12:05:54.000000,885,311.0,1094.0,5786,15522.0,\"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..\",764.0,30,True,2021-03-24 21:52:56.000000,0.25,91.0,catboost,conda-forge/catboost,,,,162.0,,https://pypi.org/project/catboost,2020-12-27 06:58:33.000000,162.0,839275.0,858333.0,https://anaconda.org/conda-forge/catboost,2021-03-25 13:40:44.571000,624076.0,,,,,2.0,52819.0,,,,,,,,,,,,,,,,,,,,,,\n93,Pydub,jiaaro/pydub,,audio,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38.000000,2021-04-01 14:17:33.000000,2021-03-10 02:09:33.000000,708,178.0,241.0,5229,737.0,Manipulate audio with a simple and easy high level interface.,88.0,30,True,2021-03-10 02:10:41.000000,0.25.1,68.0,pydub,conda-forge/pydub,,,,7821.0,6467.0,https://pypi.org/project/pydub,2021-03-10 02:09:53.000000,1354.0,131707.0,132201.0,https://anaconda.org/conda-forge/pydub,2021-03-13 05:16:50.142000,13855.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n94,UMAP,lmcinnes/umap,,data-viz,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17.000000,2021-03-30 19:03:27.000000,2021-03-30 19:03:27.000000,504,235.0,243.0,4618,1373.0,Uniform Manifold Approximation and Projection.,76.0,30,True,2021-02-08 21:04:43.000000,0.5.1,35.0,umap-learn,,,,,2878.0,2652.0,https://pypi.org/project/umap-learn,2021-02-08 21:04:43.000000,226.0,104502.0,104502.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n95,Tesseract,madmaze/pytesseract,,ocr,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000000,2021-03-22 17:48:48.000000,2021-03-22 17:48:37.000000,523,6.0,248.0,3499,369.0,Python-tesseract is an optical character recognition (OCR) tool for python.,37.0,30,True,2020-12-15 05:24:52.000000,0.3.7,24.0,pytesseract,conda-forge/pytesseract,,,,1428.0,,https://pypi.org/project/pytesseract,2020-12-15 05:24:52.000000,1428.0,443642.0,448386.0,https://anaconda.org/conda-forge/pytesseract,2020-11-20 10:05:14.874000,99640.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n96,MLxtend,rasbt/mlxtend,,sklearn-utils,https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16.000000,2021-03-08 20:58:11.000000,2021-03-08 20:58:11.000000,697,97.0,282.0,3399,1209.0,A library of extension and helper modules for Python's data analysis and machine learning libraries.,83.0,30,True,2020-11-26 04:18:15.000000,0.18.0,46.0,mlxtend,conda-forge/mlxtend,,,['sklearn'],2983.0,2793.0,https://pypi.org/project/mlxtend,2020-11-26 04:18:15.000000,190.0,92563.0,96114.0,https://anaconda.org/conda-forge/mlxtend,2020-11-26 05:32:00.667000,159798.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n97,wandb client,wandb/client,,ml-experiments,https://github.com/wandb/client,https://github.com/wandb/client,MIT,2017-03-24 05:46:23.000000,2021-04-01 06:57:02.000000,2021-03-30 22:15:19.000000,204,300.0,740.0,2849,3893.0,A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.,74.0,30,True,2021-03-30 22:14:00.000000,0.10.24,194.0,wandb,,,,,2488.0,2410.0,https://pypi.org/project/wandb,2021-03-30 22:07:30.000000,78.0,139290.0,139290.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n98,smart-open,RaRe-Technologies/smart_open,,data-loading,https://github.com/RaRe-Technologies/smart_open,https://github.com/RaRe-Technologies/smart_open,MIT,2015-01-02 13:05:52.000000,2021-03-31 09:58:10.000000,2021-03-31 09:57:55.000000,276,57.0,246.0,1987,916.0,\"Utils for streaming large files (S3, HDFS, gzip, bz2...).\",78.0,30,True,2021-03-30 09:56:17.000000,5.0.0,48.0,smart-open,,,,,640.0,,https://pypi.org/project/smart-open,2021-03-30 09:55:04.000000,640.0,6555924.0,6555924.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n99,Rasterio,mapbox/rasterio,,geospatial-data,https://github.com/mapbox/rasterio,https://github.com/mapbox/rasterio,BSD-3-Clause,2013-11-04 16:36:27.000000,2021-03-31 19:10:22.000000,2021-03-31 19:10:22.000000,394,137.0,1221.0,1465,3283.0,Rasterio reads and writes geospatial raster datasets.,107.0,30,True,2021-03-03 21:03:02.000000,1.2.1,122.0,rasterio,conda-forge/rasterio,,,,3801.0,2951.0,https://pypi.org/project/rasterio,2021-03-03 21:03:02.000000,850.0,160077.0,175811.0,https://anaconda.org/conda-forge/rasterio,2021-03-05 21:25:34.608000,959203.0,,,,,2.0,704.0,,,,,,,,,,,,,,,,,,,,,,\n100,SageMaker SDK,aws/sagemaker-python-sdk,,ml-experiments,https://github.com/aws/sagemaker-python-sdk,https://github.com/aws/sagemaker-python-sdk,Apache-2.0,2017-11-14 01:03:33.000000,2021-04-01 09:03:50.000000,2021-03-31 23:45:48.000000,586,236.0,540.0,1354,1941.0,A library for training and deploying machine learning models on Amazon SageMaker.,188.0,30,True,2021-03-26 04:56:07.000000,2.32.0,322.0,sagemaker,,,,\"['mxnet', 'tensorflow']\",669.0,641.0,https://pypi.org/project/sagemaker,2021-03-23 21:27:46.000000,28.0,284109.0,284109.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n101,Wand,emcconville/wand,,image,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000000,2021-03-29 02:59:40.000000,2021-03-29 02:59:33.000000,183,14.0,325.0,1081,1698.0,The ctypes-based simple ImageMagick binding for Python.,95.0,30,True,2021-02-28 13:13:25.000000,0.6.6,48.0,wand,,,,,4863.0,3693.0,https://pypi.org/project/wand,2021-02-28 12:46:37.000000,1170.0,83426.0,83605.0,,,,,,,,2.0,5214.0,,,,,,,,,,,,,,,,,,,,,,\n102,Fiona,Toblerity/Fiona,,geospatial-data,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00.000000,2021-03-03 08:46:44.857000,2020-11-30 07:11:40.000000,165,69.0,551.0,790,1093.0,Fiona reads and writes geographic data files.,65.0,30,True,2020-11-17 18:32:17.000000,1.8.18,96.0,fiona,conda-forge/fiona,,,,6549.0,5361.0,https://pypi.org/project/fiona,2020-11-17 18:32:17.000000,1188.0,421925.0,451884.0,https://anaconda.org/conda-forge/fiona,2021-03-03 08:46:44.857000,1827525.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n103,snowballstemmer,snowballstem/snowball,,nlp,https://github.com/snowballstem/snowball,https://github.com/snowballstem/snowball,BSD-3-Clause,2013-02-23 07:17:42.000000,2021-03-10 04:28:59.000000,2021-03-10 04:26:01.000000,133,17.0,42.0,488,847.0,Snowball compiler and stemming algorithms.,25.0,30,True,2021-01-21 11:43:00.000000,2.1.0,9.0,snowballstemmer,conda-forge/snowballstemmer,,,,59764.0,46582.0,https://pypi.org/project/snowballstemmer,2021-01-21 11:43:00.000000,13182.0,1607505.0,1648955.0,https://anaconda.org/conda-forge/snowballstemmer,2021-01-21 23:16:54.597000,2321213.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n104,Face Recognition,ageitgey/face_recognition,,image,https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39.000000,2021-03-20 02:37:00.000000,2020-09-26 15:32:59.000000,11016,591.0,533.0,39216,211.0,The world's simplest facial recognition api for Python and the command line.,45.0,29,True,2018-08-21 18:34:21.000000,1.2.3,21.0,face_recognition,,,,['pytorch'],406.0,,https://pypi.org/project/face_recognition,2018-08-21 18:34:21.000000,406.0,16173.0,16182.0,,,,,,,,2.0,441.0,,,,,,,,,,,,,,,,,,,,,,\n105,fastText,facebookresearch/fastText,,nlp,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000000,2021-01-15 15:28:41.000000,2020-07-18 00:20:40.000000,4325,446.0,594.0,22391,379.0,Library for fast text representation and classification.,58.0,29,True,2020-04-28 09:54:50.000000,0.9.2,35.0,fasttext,conda-forge/fasttext,,,,1805.0,1615.0,https://pypi.org/project/fasttext,2020-04-28 09:54:50.000000,190.0,92714.0,93159.0,https://anaconda.org/conda-forge/fasttext,2020-10-12 14:55:45.199000,18713.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n106,Magenta,magenta/magenta,,audio,https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40.000000,2021-03-30 17:25:43.000000,2021-03-30 17:25:32.000000,3379,300.0,546.0,16465,1386.0,Magenta: Music and Art Generation with Machine Intelligence.,148.0,29,True,2020-11-12 19:17:18.000000,2.1.3,66.0,magenta,,,,['tensorflow'],351.0,281.0,https://pypi.org/project/magenta,2020-11-12 19:17:18.000000,70.0,2791.0,2791.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n107,Faiss,facebookresearch/faiss,,nn-search,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000000,2021-04-01 10:35:45.000000,2021-04-01 10:35:41.000000,2177,124.0,1305.0,13064,501.0,A library for efficient similarity search and clustering of dense vectors.,82.0,29,True,2021-03-08 12:52:06.000000,1.0.1,46.0,pymilvus,conda-forge/faiss,,,,343.0,337.0,https://pypi.org/project/pymilvus,2021-03-08 12:52:06.000000,6.0,4278.0,9441.0,https://anaconda.org/conda-forge/faiss,2021-03-15 13:25:00.008000,56795.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n108,horovod,horovod/horovod,,distributed-ml,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000000,2021-04-01 13:49:23.000000,2021-03-29 18:33:23.000000,1768,268.0,1528.0,11035,901.0,\"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.\",114.0,29,True,2021-02-15 20:51:41.000000,0.21.3,64.0,horovod,,,,,386.0,346.0,https://pypi.org/project/horovod,2021-02-15 20:51:41.000000,40.0,20525.0,20525.0,,,,,,,,2.0,,stable/horovod,,,,,,,,,,,,,,,,,,,,,\n109,PyTorch Geometric,rusty1s/pytorch_geometric,,graph,https://github.com/rusty1s/pytorch_geometric,https://github.com/rusty1s/pytorch_geometric,MIT,2017-10-06 16:03:03.000000,2021-03-30 09:19:38.000000,2021-03-30 09:19:36.000000,1820,749.0,1168.0,10595,4342.0,Geometric Deep Learning Extension Library for PyTorch.,155.0,29,True,2020-12-02 14:57:09.000000,1.6.3,25.0,torch-geometric,,,,['pytorch'],24.0,,https://pypi.org/project/torch-geometric,2020-11-27 07:18:41.000000,24.0,12360.0,12360.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n110,TFlearn,tflearn/tflearn,,ml-frameworks,https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,MIT,2016-03-31 12:05:53.000000,2021-01-25 09:41:59.000000,2020-11-30 04:34:51.000000,2429,563.0,361.0,9535,613.0,Deep learning library featuring a higher-level API for TensorFlow.,128.0,29,True,2020-11-11 19:26:11.000000,0.5.0,8.0,tflearn,,,,['tensorflow'],4075.0,3113.0,https://pypi.org/project/tflearn,2020-11-11 19:13:47.000000,962.0,5516.0,5516.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n111,Lime,marcotcr/lime,,interpretability,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10.000000,2021-02-04 08:58:12.000000,2021-01-12 16:12:17.000000,1402,63.0,442.0,8584,508.0,Lime: Explaining the predictions of any machine learning classifier.,57.0,29,True,2020-04-03 22:05:03.000000,0.2.0.0,38.0,lime,conda-forge/lime,,,,1276.0,1148.0,https://pypi.org/project/lime,2020-06-26 21:38:15.000000,128.0,97771.0,99072.0,https://anaconda.org/conda-forge/lime,2020-06-28 01:02:41.538000,67692.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n112,Annoy,spotify/annoy,,nn-search,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40.000000,2021-03-01 19:06:27.000000,2020-12-03 18:21:18.000000,903,37.0,269.0,8266,785.0,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,68.0,29,True,2020-09-18 16:07:59.000000,1.17.0,43.0,annoy,,,,,1869.0,1509.0,https://pypi.org/project/annoy,2020-09-18 16:07:59.000000,360.0,121668.0,121668.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n113,fuzzywuzzy,seatgeek/fuzzywuzzy,,nlp,https://github.com/seatgeek/fuzzywuzzy,https://github.com/seatgeek/fuzzywuzzy,GPL-2.0,2011-07-08 19:32:34.000000,2021-03-29 06:41:41.000000,2021-02-20 06:36:20.000000,806,84.0,98.0,7967,381.0,Fuzzy String Matching in Python.,68.0,29,False,2020-02-13 22:14:12.000000,0.18.0,27.0,fuzzywuzzy,conda-forge/fuzzywuzzy,,,,11506.0,8300.0,https://pypi.org/project/fuzzywuzzy,2020-02-13 21:06:25.000000,3206.0,1502432.0,1507511.0,https://anaconda.org/conda-forge/fuzzywuzzy,2020-11-18 12:59:01.409000,289518.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n114,TPOT,EpistasisLab/tpot,,hyperopt,https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40.000000,2021-03-17 21:46:35.000000,2021-01-06 15:17:46.000000,1389,207.0,592.0,7927,2368.0,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,108.0,29,False,2021-01-06 15:20:08.000000,0.11.7,60.0,tpot,conda-forge/tpot,,,['sklearn'],969.0,889.0,https://pypi.org/project/tpot,2021-01-06 15:20:08.000000,80.0,9254.0,11298.0,https://anaconda.org/conda-forge/tpot,2021-03-05 04:04:38.005000,112432.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n115,TextBlob,sloria/TextBlob,,nlp,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18.000000,2021-03-22 12:19:42.000000,2021-03-22 12:18:30.000000,995,85.0,150.0,7599,535.0,\"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..\",34.0,29,True,2019-02-24 23:03:17.000000,0.15.3,55.0,textblob,conda-forge/textblob,,,,13534.0,11042.0,https://pypi.org/project/textblob,2019-02-24 23:03:17.000000,2492.0,171607.0,173682.0,https://anaconda.org/conda-forge/textblob,2019-02-24 23:32:55.233000,116236.0,,,,,2.0,90.0,,,,,,,,,,,,,,,,,,,,,,\n116,glfw,glfw/glfw,,image,https://github.com/glfw/glfw,https://github.com/glfw/glfw,Zlib,2013-04-18 15:24:53.000000,2021-03-28 20:42:47.000000,2021-03-19 13:47:46.000000,2726,440.0,1003.0,7464,4226.0,\"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.\",168.0,29,False,2021-02-28 20:43:49.000000,2.1.0,38.0,glfw,conda-forge/glfw,,,,214.0,,https://pypi.org/project/glfw,2021-02-28 20:43:49.000000,214.0,14862.0,46884.0,https://anaconda.org/conda-forge/glfw,2021-03-10 07:13:09.292000,27560.0,,,,,2.0,2260273.0,,,,,,,,,,,,,,,,,,,,,,\n117,MoviePy,Zulko/moviepy,,image,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000000,2021-03-09 12:41:21.000000,2021-02-22 19:41:09.000000,1021,337.0,713.0,7405,1012.0,Video editing with Python.,137.0,29,True,2020-05-07 16:29:35.000000,1.0.3,84.0,moviepy,conda-forge/moviepy,,,,7789.0,6659.0,https://pypi.org/project/moviepy,2020-10-05 00:26:29.000000,1130.0,96178.0,97901.0,https://anaconda.org/conda-forge/moviepy,2020-02-23 19:57:49.975000,77574.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n118,Datasets,huggingface/datasets,,data-loading,https://github.com/huggingface/datasets,https://github.com/huggingface/datasets,Apache-2.0,2020-03-26 09:23:22.000000,2021-04-01 14:59:05.000000,2021-04-01 10:20:36.000000,812,268.0,412.0,7086,1492.0,\"The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools.\",253.0,29,True,2021-03-18 14:21:52.000000,1.5.0,17.0,datasets,,,,,540.0,522.0,https://pypi.org/project/datasets,2021-03-03 16:50:29.000000,18.0,25396.0,25396.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n119,pandas-profiling,pandas-profiling/pandas-profiling,,data-viz,https://github.com/pandas-profiling/pandas-profiling,https://github.com/pandas-profiling/pandas-profiling,MIT,2016-01-09 23:47:55.000000,2021-03-31 04:07:13.000000,2021-03-28 22:03:12.000000,1045,72.0,380.0,7022,784.0,Create HTML profiling reports from pandas DataFrame objects.,74.0,29,True,2021-02-20 14:18:35.000000,2.11.0,27.0,pandas-profiling,conda-forge/pandas-profiling,,,\"['jupyter', 'pandas']\",3653.0,3493.0,https://pypi.org/project/pandas-profiling,2021-02-07 23:45:05.000000,160.0,126917.0,128950.0,https://anaconda.org/conda-forge/pandas-profiling,2021-02-20 16:48:07.057000,113865.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n120,SpeechRecognition,Uberi/speech_recognition,,audio,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54.000000,2021-02-28 19:52:57.000000,2019-07-02 17:29:47.000000,1902,217.0,270.0,5535,360.0,\"Speech recognition module for Python, supporting several engines and APIs, online and offline.\",41.0,29,False,2017-12-05 14:05:14.000000,3.8.1,52.0,SpeechRecognition,conda-forge/speechrecognition,,,,8600.0,7512.0,https://pypi.org/project/SpeechRecognition,2017-12-05 13:58:29.000000,1088.0,55253.0,57125.0,https://anaconda.org/conda-forge/speechrecognition,2021-01-11 17:26:33.040000,104856.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n121,Hyperopt,hyperopt/hyperopt,,hyperopt,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59.000000,2021-03-24 09:17:46.000000,2021-03-24 09:17:46.000000,879,339.0,225.0,5525,1172.0,Distributed Asynchronous Hyperparameter Optimization in Python.,87.0,29,True,2020-10-07 09:52:56.000000,0.2.5,11.0,hyperopt,conda-forge/hyperopt,,,,3407.0,2903.0,https://pypi.org/project/hyperopt,2020-10-07 09:52:56.000000,504.0,292053.0,298000.0,https://anaconda.org/conda-forge/hyperopt,2020-10-14 07:57:14.292000,184381.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n122,Autograd,HIPS/autograd,,others,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23.000000,2021-03-03 09:28:19.000000,2021-03-03 09:27:58.000000,717,161.0,218.0,5174,1376.0,Efficiently computes derivatives of numpy code.,51.0,29,True,2017-08-24 17:00:41.000000,1.1.13,24.0,autograd,conda-forge/autograd,,,,2015.0,1671.0,https://pypi.org/project/autograd,2019-07-25 16:21:07.000000,344.0,404817.0,407722.0,https://anaconda.org/conda-forge/autograd,2019-07-25 18:29:55.493000,162714.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n123,TinyDB,msiemens/tinydb,,data-containers,https://github.com/msiemens/tinydb,https://github.com/msiemens/tinydb,MIT,2013-07-12 23:31:13.000000,2021-03-02 07:16:50.000000,2021-03-02 07:16:50.000000,367,9.0,243.0,4126,609.0,TinyDB is a lightweight document oriented database optimized for your happiness :).,63.0,29,True,2021-02-11 19:31:26.000000,4.4.0,59.0,tinydb,conda-forge/tinydb,,,,1118.0,,https://pypi.org/project/tinydb,2021-02-11 19:31:24.000000,1118.0,103413.0,105312.0,https://anaconda.org/conda-forge/tinydb,2021-02-11 21:20:33.462000,110193.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n124,kaggle,Kaggle/kaggle-api,,ml-experiments,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000000,2021-03-19 16:43:36.000000,2021-03-15 15:49:05.000000,788,171.0,114.0,3943,145.0,Official Kaggle API.,36.0,29,True,2021-03-13 00:50:03.000000,1.5.12,48.0,kaggle,conda-forge/kaggle,,,,5496.0,4932.0,https://pypi.org/project/kaggle,2021-03-13 00:50:03.000000,564.0,58203.0,60356.0,https://anaconda.org/conda-forge/kaggle,2021-03-16 16:09:03.613000,49527.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n125,bqplot,bqplot/bqplot,,data-viz,https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18.000000,2021-03-31 14:08:04.000000,2021-03-31 09:41:46.000000,404,192.0,330.0,3045,3279.0,Plotting library for IPython/Jupyter notebooks.,51.0,29,True,2021-02-23 12:01:57.098000,0.5.23,91.0,bqplot,conda-forge/bqplot,,,['jupyter'],1440.0,1318.0,https://pypi.org/project/bqplot,2021-02-23 12:03:51.000000,112.0,10959.0,37800.0,https://anaconda.org/conda-forge/bqplot,2021-03-02 08:00:32.235000,555141.0,,,,,2.0,,,,bqplot,https://www.npmjs.com/package/bqplot,2021-02-23 12:01:57.098000,10.0,17432.0,,,,,,,,,,,,,,,\n126,dbt,fishtown-analytics/dbt,,data-pipelines,https://github.com/fishtown-analytics/dbt,https://github.com/fishtown-analytics/dbt,Apache-2.0,2016-03-10 02:38:00.000000,2021-04-01 01:51:54.000000,2021-03-31 19:56:59.000000,544,334.0,1504.0,2745,2481.0,dbt (data build tool) enables data analysts and engineers to transform their data using the same practices that..,140.0,29,True,2021-03-31 18:19:23.000000,0.19.1,150.0,dbt,conda-forge/dbt,,,,255.0,237.0,https://pypi.org/project/dbt,2021-03-31 17:48:44.000000,18.0,101698.0,104681.0,https://anaconda.org/conda-forge/dbt,2020-05-14 13:55:32.153000,158119.0,,,,,2.0,,,,,,,,,,dbt,,,,,,,,,,,,,\n127,torchtext,pytorch/text,,nlp,https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000000,2021-04-01 11:35:58.000000,2021-03-24 23:17:11.000000,624,290.0,320.0,2703,795.0,Data loaders and abstractions for text and NLP.,107.0,29,True,2021-03-25 17:19:08.000000,0.9.1-rc1,14.0,torchtext,,,,['pytorch'],4752.0,4070.0,https://pypi.org/project/torchtext,2021-03-25 16:29:43.000000,682.0,38381.0,38381.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n128,VisPy,vispy/vispy,,data-viz,https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22.000000,2021-03-16 16:52:55.000000,2021-03-15 18:34:47.000000,540,354.0,817.0,2613,6471.0,High-performance interactive 2D/3D data visualization library.,149.0,29,True,2020-12-14 15:55:00.000000,0.6.6,16.0,vispy,conda-forge/vispy,,,['jupyter'],603.0,481.0,https://pypi.org/project/vispy,2020-11-28 02:55:50.000000,122.0,10311.0,13611.0,https://anaconda.org/conda-forge/vispy,2021-01-13 03:28:46.609000,135134.0,,,,,2.0,,,,vispy,https://www.npmjs.com/package/vispy,2020-03-15 14:39:41.516000,,83.0,,,,,,,,,,,,,,,\n129,PyQtGraph,pyqtgraph/pyqtgraph,,data-viz,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21.000000,2021-04-01 01:41:57.000000,2021-03-27 07:15:19.000000,823,277.0,520.0,2355,2605.0,Fast data visualization and GUI tools for scientific / engineering applications.,188.0,29,True,2021-03-25 19:11:38.000000,pyqtgraph-0.12.0,12.0,pyqtgraph,conda-forge/pyqtgraph,,,,890.0,,https://pypi.org/project/pyqtgraph,2020-12-20 02:43:22.000000,890.0,16896.0,20231.0,https://anaconda.org/conda-forge/pyqtgraph,2021-03-26 00:58:27.115000,170115.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n130,AzureML SDK,Azure/MachineLearningNotebooks,,ml-experiments,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000000,2021-04-01 10:12:39.000000,2021-03-24 18:25:00.000000,1627,141.0,868.0,2226,1117.0,Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft.,54.0,29,True,2021-03-09 04:02:53.000000,1.24.0,70.0,azureml-sdk,,,,,60.0,,https://pypi.org/project/azureml-sdk,2021-03-09 04:02:53.000000,60.0,192781.0,192794.0,,,,,,,,2.0,406.0,,,,,,,,,,,,,,,,,,,,,,\n131,hmmlearn,hmmlearn/hmmlearn,,probabilistics,https://github.com/hmmlearn/hmmlearn,https://github.com/hmmlearn/hmmlearn,BSD-3-Clause,2014-03-23 10:33:09.000000,2021-02-05 09:47:49.000000,2021-02-05 09:47:44.000000,647,66.0,278.0,2220,355.0,\"Hidden Markov Models in Python, with scikit-learn like API.\",32.0,29,True,2021-02-03 14:33:20.000000,0.2.5,7.0,hmmlearn,conda-forge/hmmlearn,,,['sklearn'],1129.0,923.0,https://pypi.org/project/hmmlearn,2021-02-03 14:32:44.000000,206.0,71706.0,74165.0,https://anaconda.org/conda-forge/hmmlearn,2021-02-04 16:23:17.046000,71318.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n132,scikit-optimize,scikit-optimize/scikit-optimize,,hyperopt,https://github.com/scikit-optimize/scikit-optimize,https://github.com/scikit-optimize/scikit-optimize,BSD-3-Clause,2016-03-20 21:10:54.000000,2021-03-26 08:56:43.000000,2020-12-31 12:07:52.000000,396,205.0,361.0,2071,1541.0,Sequential model-based optimization with a `scipy.optimize` interface.,68.0,29,True,2020-09-04 09:08:10.000000,0.8.1,22.0,scikit-optimize,conda-forge/scikit-optimize,,,,1645.0,1485.0,https://pypi.org/project/scikit-optimize,2020-09-04 09:08:10.000000,160.0,423416.0,429101.0,https://anaconda.org/conda-forge/scikit-optimize,2020-09-04 09:50:52.372000,255840.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n133,pandas-datareader,pydata/pandas-datareader,,data-loading,https://github.com/pydata/pandas-datareader,https://github.com/pydata/pandas-datareader,BSD-3-Clause,2015-01-15 00:34:19.000000,2021-03-31 09:06:38.000000,2020-12-31 11:58:23.000000,521,86.0,370.0,1942,764.0,Extract data from a wide range of Internet sources into a pandas DataFrame.,77.0,29,True,2020-07-10 10:04:14.000000,0.9.0,21.0,pandas-datareader,conda-forge/pandas-datareader,,,['pandas'],9934.0,8528.0,https://pypi.org/project/pandas-datareader,2020-07-10 10:04:14.000000,1406.0,80323.0,82595.0,https://anaconda.org/conda-forge/pandas-datareader,2021-03-16 22:58:42.079000,109074.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n134,opencv-python,skvark/opencv-python,,image,https://github.com/opencv/opencv-python,https://github.com/opencv/opencv-python,MIT,2016-04-08 13:36:40.000000,2021-01-03 17:07:49.000000,2020-12-28 18:40:12.000000,340,19.0,382.0,1868,749.0,\"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..\",27.0,29,True,2021-01-03 17:36:16.000000,47,48.0,opencv-python,,,,,12560.0,,https://pypi.org/project/opencv-python,2021-01-03 17:07:49.000000,12560.0,1295545.0,1295545.0,,,,,,,,2.0,,,,,,,,,,,,,opencv/opencv-python,,,,,,,,,,\n135,hdbscan,scikit-learn-contrib/hdbscan,,others,https://github.com/scikit-learn-contrib/hdbscan,https://github.com/scikit-learn-contrib/hdbscan,BSD-3-Clause,2015-04-22 13:32:37.000000,2021-04-01 14:39:53.000000,2021-03-24 15:38:49.000000,339,225.0,146.0,1840,876.0,A high performance implementation of HDBSCAN clustering.,68.0,29,True,2021-02-03 20:21:02.000000,0.8.27,43.0,hdbscan,conda-forge/hdbscan,,,['sklearn'],913.0,789.0,https://pypi.org/project/hdbscan,2021-02-03 20:21:02.000000,124.0,60486.0,71193.0,https://anaconda.org/conda-forge/hdbscan,2021-02-14 03:07:15.749000,610333.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n136,Lifelines,CamDavidsonPilon/lifelines,,medical-data,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42.000000,2021-03-05 00:11:18.000000,2021-03-03 21:32:20.000000,417,195.0,594.0,1596,2096.0,Survival analysis in Python.,92.0,29,True,2021-03-03 21:33:00.000000,0.25.10,154.0,lifelines,conda-forge/lifelines,,,,655.0,529.0,https://pypi.org/project/lifelines,2021-02-05 04:36:18.000000,126.0,82886.0,85220.0,https://anaconda.org/conda-forge/lifelines,2021-03-03 23:45:28.235000,135411.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n137,Geocoder,DenisCarriere/geocoder,,geospatial-data,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21.000000,2020-12-30 04:09:42.000000,2018-10-12 15:53:05.000000,260,90.0,216.0,1335,1251.0,Python Geocoder.,74.0,29,False,2018-04-04 12:34:51.000000,1.38.1,108.0,geocoder,conda-forge/geocoder,,,,4057.0,3213.0,https://pypi.org/project/geocoder,2018-04-04 12:34:51.000000,844.0,257303.0,259071.0,https://anaconda.org/conda-forge/geocoder,2019-06-27 16:40:50.469000,88420.0,,,,,2.0,,,,,,,,,,,,,,geocoder,,,,,,,,,\n138,torchaudio,pytorch/audio,,audio,https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000000,2021-04-01 14:17:12.000000,2021-03-31 18:34:51.000000,296,149.0,302.0,1276,789.0,\"Data manipulation and transformation for audio signal processing, powered by PyTorch.\",111.0,29,True,2021-03-25 16:30:33.000000,0.8.1,14.0,torchaudio,,,,['pytorch'],2126.0,2108.0,https://pypi.org/project/torchaudio,2021-03-25 16:29:07.000000,18.0,64870.0,64870.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n139,snakemake,snakemake/snakemake,,ml-experiments,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867000,2021-04-01 14:23:39.000000,2021-04-01 11:15:46.000000,201,368.0,217.0,913,4050.0,\"This is the development home of the workflow management system Snakemake. For general information, see.\",198.0,29,True,2021-04-01 11:15:57.000000,6.1.0,168.0,snakemake,bioconda/snakemake,,,,1062.0,774.0,https://pypi.org/project/snakemake,2021-04-01 11:16:56.000000,288.0,5719.0,10065.0,https://anaconda.org/bioconda/snakemake,2021-04-01 12:43:44.045000,286857.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n140,TensorFlow Transform,tensorflow/transform,,tensorflow-utils,https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53.000000,2021-03-31 17:29:08.000000,2021-03-31 17:29:04.000000,169,35.0,121.0,863,624.0,Input pipeline framework.,27.0,29,True,2021-03-25 17:54:01.000000,0.29.0,36.0,tensorflow-transform,,,,['tensorflow'],510.0,426.0,https://pypi.org/project/tensorflow-transform,2021-03-25 17:54:01.000000,84.0,5551454.0,5551454.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n141,Nilearn,nilearn/nilearn,,medical-data,https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000000,2021-04-01 14:26:23.000000,2021-03-31 07:35:58.000000,387,378.0,1170.0,718,9323.0,Machine learning for NeuroImaging in Python.,165.0,29,True,2020-11-12 11:44:49.000000,0.7.0,36.0,nilearn,conda-forge/nilearn,,,['sklearn'],1241.0,939.0,https://pypi.org/project/nilearn,2021-03-10 13:17:17.000000,302.0,5960.0,7475.0,https://anaconda.org/conda-forge/nilearn,2021-03-10 17:33:32.831000,89390.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n142,Bottleneck,pydata/bottleneck,,data-containers,https://github.com/pydata/bottleneck,https://github.com/pydata/bottleneck,BSD-2-Clause,2010-11-27 23:21:22.000000,2021-03-22 17:21:10.000000,2021-01-24 18:39:03.000000,66,27.0,177.0,595,1241.0,Fast NumPy array functions written in C.,21.0,29,True,2020-02-21 06:22:16.000000,1.3.2,21.0,Bottleneck,conda-forge/bottleneck,,,,23104.0,20212.0,https://pypi.org/project/Bottleneck,2020-02-21 06:22:16.000000,2892.0,127813.0,152913.0,https://anaconda.org/conda-forge/bottleneck,2021-01-21 02:48:32.623000,1480904.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n143,NIPYPE,nipy/nipype,,medical-data,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000000,2021-04-01 14:41:32.000000,2021-04-01 00:19:16.000000,456,337.0,877.0,558,14069.0,Workflows and interfaces for neuroimaging packages.,212.0,29,True,2020-11-28 17:23:30.000000,1.6.0,54.0,nipype,conda-forge/nipype,,,,737.0,545.0,https://pypi.org/project/nipype,2020-11-28 17:23:30.000000,192.0,6571.0,13217.0,https://anaconda.org/conda-forge/nipype,2020-11-28 17:44:51.813000,378827.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n144,NiBabel,nipy/nibabel,,medical-data,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30.000000,2021-03-23 16:53:21.000000,2021-03-09 13:05:45.000000,214,112.0,288.0,397,4958.0,Python package to access a cacophony of neuro-imaging file formats.,89.0,29,True,2020-11-28 22:19:50.000000,3.2.1,32.0,nibabel,conda-forge/nibabel,,,,5238.0,3974.0,https://pypi.org/project/nibabel,2020-11-28 22:18:23.000000,1264.0,32782.0,38209.0,https://anaconda.org/conda-forge/nibabel,2020-11-29 03:40:05.178000,320210.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n145,detectron2,facebookresearch/detectron2,,image,https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000000,2021-04-01 08:00:43.000000,2021-04-01 08:00:38.000000,4026,98.0,2263.0,15711,1075.0,Detectron2 is FAIR's next-generation platform for object detection and segmentation.,150.0,28,True,2021-03-13 01:36:49.000000,0.4,8.0,,conda-forge/detectron2,,,['pytorch'],199.0,199.0,,,,,1427.0,https://anaconda.org/conda-forge/detectron2,2020-08-05 13:27:52.058000,15702.0,,,,,2.0,,,2.0,,,,,,,,,,,,,,,,,,,,\n146,Prophet,facebook/prophet,,time-series-data,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000000,2021-03-29 22:51:44.000000,2021-03-29 22:06:09.000000,3577,107.0,1455.0,12469,646.0,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,127.0,28,True,2020-09-05 16:12:50.000000,0.7.1,14.0,fbprophet,,,,,150.0,,https://pypi.org/project/fbprophet,2020-09-05 16:12:50.000000,150.0,336695.0,336706.0,,,,,,,,1.0,573.0,,,,,,,,,,,,,,,,,,,,,,\n147,Turi Create,apple/turicreate,,ml-frameworks,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04.000000,2021-03-31 19:36:36.000000,2021-03-31 19:36:36.000000,1091,476.0,1262.0,10197,1567.0,Turi Create simplifies the development of custom machine learning models.,82.0,28,True,2020-09-30 22:51:40.000000,6.4.1,31.0,turicreate,,,,,264.0,230.0,https://pypi.org/project/turicreate,2020-09-30 22:51:40.000000,34.0,10749.0,10846.0,,,,,,,,2.0,3904.0,,,,,,,,,,,,,,,,,,,,,,\n148,Sonnet,deepmind/sonnet,,ml-frameworks,https://github.com/deepmind/sonnet,https://github.com/deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35.000000,2021-03-15 18:24:14.000000,2021-03-15 18:23:31.000000,1260,19.0,137.0,8813,545.0,TensorFlow-based neural network library.,51.0,28,True,2020-03-27 10:36:19.000000,2.0.0,27.0,dm-sonnet,conda-forge/sonnet,,,['tensorflow'],631.0,549.0,https://pypi.org/project/dm-sonnet,2020-03-27 10:36:10.000000,82.0,22268.0,22756.0,https://anaconda.org/conda-forge/sonnet,2020-11-14 18:13:23.843000,8311.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n149,PyTorch Image Models,rwightman/pytorch-image-models,,image,https://github.com/rwightman/pytorch-image-models,https://github.com/rwightman/pytorch-image-models,Apache-2.0,2019-02-02 05:51:12.000000,2021-04-01 06:13:43.000000,2021-03-29 18:33:32.000000,1225,31.0,253.0,8345,766.0,\"PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer, MixNet,..\",36.0,28,True,2021-03-31 19:11:46.000000,0.1-pit-weights,19.0,,,,,['pytorch'],409.0,409.0,,,,,12871.0,,,,,,,,2.0,296046.0,,,,,,,,,,,,,,,,,,,,,,\n150,Albumentations,albumentations-team/albumentations,,image,https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000000,2021-03-23 20:03:18.000000,2021-03-23 20:03:18.000000,969,183.0,245.0,7597,627.0,Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation:..,76.0,28,True,2020-11-29 14:30:07.000000,0.5.2,44.0,albumentations,conda-forge/albumentations,,,['pytorch'],3254.0,3126.0,https://pypi.org/project/albumentations,2020-11-29 14:30:07.000000,128.0,41098.0,41848.0,https://anaconda.org/conda-forge/albumentations,2020-11-29 15:51:47.610000,16505.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n151,tensorboardX,lanpa/tensorboardX,,ml-experiments,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19.000000,2021-03-28 17:29:35.000000,2021-03-28 17:29:35.000000,794,68.0,351.0,6877,464.0,\"tensorboard for pytorch (and chainer, mxnet, numpy, ...).\",65.0,28,True,2020-07-05 17:54:10.000000,2.0,13.0,tensorboardX,conda-forge/tensorboardx,,,,12377.0,11043.0,https://pypi.org/project/tensorboardX,2020-07-05 16:22:14.000000,1334.0,185871.0,194364.0,https://anaconda.org/conda-forge/tensorboardx,2020-07-06 20:33:55.729000,330997.0,,,,,2.0,306.0,,,,,,,,,,,,,,,,,,,,,,\n152,Pyro,pyro-ppl/pyro,,probabilistics,https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000000,2021-03-29 18:49:44.000000,2021-03-29 18:49:44.000000,826,137.0,689.0,6827,2188.0,Deep universal probabilistic programming with Python and PyTorch.,105.0,28,True,2021-03-04 23:01:34.000000,1.6.0,26.0,pyro-ppl,,,,['pytorch'],456.0,420.0,https://pypi.org/project/pyro-ppl,2021-03-04 23:05:10.000000,36.0,10088.0,10088.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n153,Modin,modin-project/modin,,data-containers,https://github.com/modin-project/modin,https://github.com/modin-project/modin,Apache-2.0,2018-06-21 21:35:05.000000,2021-04-01 14:01:35.000000,2021-04-01 12:52:07.000000,413,495.0,1186.0,5920,1338.0,Modin: Speed up your Pandas workflows by changing a single line of code.,75.0,28,True,2021-03-16 02:04:13.000000,0.9.1,37.0,modin,,,,['pandas'],345.0,327.0,https://pypi.org/project/modin,2021-03-04 23:04:25.000000,18.0,35264.0,41184.0,,,,,,,,2.0,195387.0,,,,,,,,,,,,,,,,,,,,,,\n154,OpenNMT,OpenNMT/OpenNMT-py,,nlp,https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000000,2021-04-01 10:53:18.000000,2021-03-26 10:51:20.000000,1797,100.0,1140.0,4916,2548.0,Open Source Neural Machine Translation in PyTorch.,166.0,28,True,2021-01-27 09:22:31.000000,2.0.1,28.0,OpenNMT-py,,,,['pytorch'],83.0,79.0,https://pypi.org/project/OpenNMT-py,2021-01-27 09:22:31.000000,4.0,1554.0,1554.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n155,yfinance,ranaroussi/yfinance,,financial-data,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000000,2021-03-29 12:07:52.000000,2021-03-25 00:42:57.000000,1165,292.0,225.0,4688,,Yahoo! Finance market data downloader (+faster Pandas Datareader).,36.0,28,True,2021-03-25 00:43:03.000000,0.1.59,24.0,yfinance,ranaroussi/yfinance,,,,3693.0,3667.0,https://pypi.org/project/yfinance,2021-03-25 00:43:03.000000,26.0,74284.0,76346.0,https://anaconda.org/ranaroussi/yfinance,2019-12-27 21:30:44.606000,41246.0,,,,,1.0,,,-2.0,,,,,,,,,,,,,,,,,,,,\n156,sentence-transformers,UKPLab/sentence-transformers,,nlp,https://github.com/UKPLab/sentence-transformers,https://github.com/UKPLab/sentence-transformers,Apache-2.0,2019-07-24 10:53:51.000000,2021-04-01 06:35:11.000000,2021-04-01 06:32:45.000000,852,363.0,413.0,4591,700.0,Sentence Embeddings with BERT & XLNet.,43.0,28,True,2021-04-01 06:35:11.000000,1.0.4,33.0,sentence-transformers,,,,['pytorch'],818.0,818.0,https://pypi.org/project/sentence-transformers,2021-03-22 08:13:41.000000,0.0,302922.0,302922.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n157,csvkit,wireservice/csvkit,,data-loading,https://github.com/wireservice/csvkit,https://github.com/wireservice/csvkit,MIT,2011-04-01 03:00:30.000000,2021-04-01 14:02:02.000000,2021-03-10 22:01:27.000000,535,56.0,752.0,4530,1696.0,\"A suite of utilities for converting to and working with CSV, the king of tabular file formats.\",91.0,28,True,2020-03-03 03:00:28.000000,1.0.5,33.0,csvkit,conda-forge/csvkit,,,,1545.0,843.0,https://pypi.org/project/csvkit,2020-03-03 03:00:28.000000,702.0,19103.0,20076.0,https://anaconda.org/conda-forge/csvkit,2019-05-28 12:30:50.171000,47718.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n158,Tokenizers,huggingface/tokenizers,,nlp,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000000,2021-03-31 12:10:41.000000,2021-03-18 18:39:52.000000,330,96.0,318.0,4399,1446.0,Fast State-of-the-Art Tokenizers optimized for Research and Production.,40.0,28,True,2021-02-08 17:12:03.000000,0.10.1,60.0,tokenizers,conda-forge/tokenizers,,,,27.0,27.0,https://pypi.org/project/tokenizers,2021-02-08 17:12:03.000000,0.0,663299.0,667628.0,https://anaconda.org/conda-forge/tokenizers,2021-03-10 20:31:28.913000,38961.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n159,PyOD,yzhao062/pyod,,others,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04.000000,2021-03-15 01:20:52.000000,2021-02-18 15:48:37.000000,876,109.0,85.0,4317,1255.0,(JMLR'19) A Python Toolbox for Scalable Outlier Detection (Anomaly Detection).,23.0,28,True,2021-02-18 15:53:13.000000,0.8.7,65.0,pyod,,,,,554.0,548.0,https://pypi.org/project/pyod,2021-02-18 15:53:13.000000,6.0,46997.0,46997.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n160,Kornia,kornia/kornia,,image,https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000000,2021-04-01 10:19:12.000000,2021-03-24 15:22:15.000000,367,93.0,267.0,3789,1523.0,Open Source Differentiable Computer Vision Library for PyTorch.,89.0,28,True,2021-03-17 09:10:52.000000,0.5.0,13.0,kornia,,,,['pytorch'],313.0,313.0,https://pypi.org/project/kornia,2021-03-17 09:10:52.000000,0.0,10732.0,10732.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n161,Kedro,quantumblacklabs/kedro,,data-pipelines,https://github.com/quantumblacklabs/kedro,https://github.com/quantumblacklabs/kedro,Apache-2.0,2019-04-18 10:29:56.000000,2021-04-01 10:04:52.000000,2021-04-01 08:47:05.000000,421,77.0,380.0,3641,1198.0,\"A Python framework for creating reproducible, maintainable and modular data science code.\",102.0,28,True,2021-03-15 18:11:52.000000,0.17.2,26.0,kedro,,,,,451.0,435.0,https://pypi.org/project/kedro,2021-03-15 18:11:52.000000,16.0,42528.0,42528.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n162,imutils,jrosebr1/imutils,,image,https://github.com/jrosebr1/imutils,https://github.com/jrosebr1/imutils,MIT,2015-01-11 20:05:39.000000,2021-03-23 17:44:24.000000,2021-01-15 10:46:45.000000,889,132.0,76.0,3588,138.0,\"A series of convenience functions to make basic image processing operations such as translation, rotation, resizing,..\",20.0,28,True,2021-01-15 10:53:17.000000,0.5.4,29.0,imutils,conda-forge/imutils,,,,14438.0,13242.0,https://pypi.org/project/imutils,2021-01-15 10:53:17.000000,1196.0,70470.0,72473.0,https://anaconda.org/conda-forge/imutils,2021-01-15 14:27:25.471000,44085.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n163,Ignite,pytorch/ignite,,ml-frameworks,https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000000,2021-04-01 06:48:19.000000,2021-03-28 13:08:47.000000,437,104.0,680.0,3487,1050.0,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,133.0,28,True,2021-03-03 23:10:39.000000,0.4.4,511.0,pytorch-ignite,pytorch/ignite,,,['pytorch'],863.0,801.0,https://pypi.org/project/pytorch-ignite,2021-04-01 00:15:41.000000,62.0,18052.0,19732.0,https://anaconda.org/pytorch/ignite,2021-03-03 23:10:32.721000,57141.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n164,sacred,IDSIA/sacred,,ml-experiments,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29.000000,2021-03-22 18:11:21.000000,2021-02-25 06:50:58.000000,314,92.0,403.0,3387,1303.0,\"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.\",92.0,28,True,2020-12-14 15:21:05.000000,0.8.2,27.0,sacred,,,,,1013.0,859.0,https://pypi.org/project/sacred,2020-12-14 15:21:05.000000,154.0,7536.0,7536.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n165,PyCaret,pycaret/pycaret,,ml-experiments,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000000,2021-03-28 02:47:15.000000,2021-03-27 15:18:10.000000,670,197.0,594.0,3125,1706.0,\"An open-source, low-code machine learning library in Python.\",47.0,28,True,2021-02-21 19:03:52.000000,2.3.0,69.0,pycaret,,,,,753.0,753.0,https://pypi.org/project/pycaret,2021-02-21 19:03:52.000000,0.0,17631.0,17672.0,,,,,,,,2.0,371.0,,,,,,,,,,,,,,,,,,,,,,\n166,Dedupe,dedupeio/dedupe,,nlp,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36.000000,2021-03-24 15:27:24.000000,2021-03-24 15:27:24.000000,422,56.0,578.0,2959,2807.0,\"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.\",56.0,28,True,2021-02-28 20:52:16.000000,2.0.7,158.0,dedupe,,,,,257.0,179.0,https://pypi.org/project/dedupe,2021-02-28 20:52:16.000000,78.0,32671.0,32671.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n167,Blaze,blaze/blaze,,data-containers,https://github.com/blaze/blaze,https://github.com/blaze/blaze,BSD-3-Clause,2012-10-26 14:25:22.000000,2020-02-01 19:33:09.000000,2019-08-15 21:14:59.000000,373,262.0,500.0,2938,7496.0,NumPy and Pandas interface to Big Data.,64.0,28,False,2016-07-19 20:40:03.000000,0.11.0,14.0,blaze,conda-forge/blaze,,,,9189.0,7567.0,https://pypi.org/project/blaze,2016-05-06 21:19:21.000000,1622.0,4655.0,8967.0,https://anaconda.org/conda-forge/blaze,2018-07-15 22:16:17.685000,189755.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n168,Koalas,databricks/koalas,,data-containers,https://github.com/databricks/koalas,https://github.com/databricks/koalas,Apache-2.0,2019-01-03 21:46:54.000000,2021-04-01 02:37:48.000000,2021-04-01 02:37:48.000000,304,109.0,438.0,2720,1525.0,Koalas: pandas API on Apache Spark.,50.0,28,True,2021-03-08 10:28:06.000000,1.7.0,44.0,koalas,conda-forge/koalas,,,\"['spark', 'pandas']\",86.0,84.0,https://pypi.org/project/koalas,2021-03-08 10:28:06.000000,2.0,414823.0,418438.0,https://anaconda.org/conda-forge/koalas,2021-03-09 01:46:58.770000,82250.0,,,,,2.0,996.0,,,,,,,,,,,,,,,,,,,,,,\n169,phonenumbers,daviddrysdale/python-phonenumbers,,nlp,https://github.com/daviddrysdale/python-phonenumbers,https://github.com/daviddrysdale/python-phonenumbers,Apache-2.0,2011-04-21 03:06:38.000000,2021-04-01 08:15:05.000000,2021-03-17 20:58:50.000000,337,4.0,114.0,2664,,Python port of Google's libphonenumber.,22.0,28,True,2021-03-02 18:12:32.000000,8.12.19,170.0,phonenumbers,conda-forge/phonenumbers,,,,2280.0,,https://pypi.org/project/phonenumbers,2021-03-02 18:12:32.000000,2280.0,483018.0,489855.0,https://anaconda.org/conda-forge/phonenumbers,2019-08-04 21:19:59.322000,396587.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n170,plotnine,has2k1/plotnine,,data-viz,https://github.com/has2k1/plotnine,https://github.com/has2k1/plotnine,GPL-2.0,2017-04-24 19:00:44.000000,2021-03-25 12:31:04.423000,2021-03-24 15:13:47.000000,137,61.0,364.0,2635,1686.0,A grammar of graphics for Python.,82.0,28,False,2021-03-25 12:57:10.000000,0.8.0,11.0,plotnine,conda-forge/plotnine,,,,1959.0,1705.0,https://pypi.org/project/plotnine,2021-03-25 10:49:20.000000,254.0,58623.0,60739.0,https://anaconda.org/conda-forge/plotnine,2021-03-25 12:31:04.423000,99490.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n171,mrjob,Yelp/mrjob,,data-pipelines,https://github.com/Yelp/mrjob,https://github.com/Yelp/mrjob,Apache-2.0,2010-10-13 18:35:21.000000,2021-03-31 18:37:58.000000,2020-11-16 22:20:52.000000,590,202.0,1089.0,2535,8622.0,Run MapReduce jobs on Hadoop or Amazon Web Services.,142.0,28,True,2020-09-17 22:26:01.000000,0.7.4,60.0,mrjob,conda-forge/mrjob,,,,822.0,710.0,https://pypi.org/project/mrjob,2020-09-17 22:26:01.000000,112.0,42733.0,48851.0,https://anaconda.org/conda-forge/mrjob,2020-12-24 22:44:29.424000,336498.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n172,datashader,holoviz/datashader,,data-viz,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000000,2021-04-01 12:54:27.000000,2021-03-12 02:36:32.000000,318,125.0,342.0,2458,1286.0,Quickly and accurately render even the largest data.,43.0,28,True,2021-03-22 15:23:27.000000,0.12.1,23.0,datashader,conda-forge/datashader,,,,702.0,632.0,https://pypi.org/project/datashader,2021-03-16 18:44:57.000000,70.0,7210.0,11114.0,https://anaconda.org/conda-forge/datashader,2021-03-19 21:41:27.398000,160096.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n173,sklearn-pandas,scikit-learn-contrib/sklearn-pandas,,data-containers,https://github.com/scikit-learn-contrib/sklearn-pandas,https://github.com/scikit-learn-contrib/sklearn-pandas,Zlib,2013-04-22 22:55:20.000000,2021-02-27 07:31:07.000000,2021-02-27 07:31:07.000000,392,31.0,120.0,2378,284.0,Pandas integration with sklearn.,37.0,28,False,2021-02-27 06:52:07.000000,2.1.0,26.0,sklearn-pandas,,,,\"['sklearn', 'pandas']\",2149.0,1927.0,https://pypi.org/project/sklearn-pandas,2021-02-27 06:52:07.000000,222.0,89643.0,89643.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n174,GPyTorch,cornellius-gp/gpytorch,,probabilistics,https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000000,2021-03-31 20:43:54.000000,2021-03-29 12:23:37.000000,328,196.0,678.0,2332,3387.0,A highly efficient and modular implementation of Gaussian Processes in PyTorch.,76.0,28,True,2021-02-23 14:34:28.000000,1.4.0,25.0,gpytorch,,,,['pytorch'],257.0,249.0,https://pypi.org/project/gpytorch,2021-01-19 22:09:01.000000,8.0,27924.0,27924.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n175,NMSLIB,nmslib/nmslib,,nn-search,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06.000000,2021-03-16 02:11:45.000000,2021-03-16 02:11:39.000000,339,41.0,322.0,2329,1503.0,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,44.0,28,True,2021-02-03 16:40:09.000000,2.1.1,32.0,nmslib,conda-forge/nmslib,,,,398.0,346.0,https://pypi.org/project/nmslib,2021-02-03 00:02:08.000000,52.0,24803.0,26517.0,https://anaconda.org/conda-forge/nmslib,2021-01-08 16:19:07.762000,20574.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n176,Keras Tuner,keras-team/keras-tuner,,hyperopt,https://github.com/keras-team/keras-tuner,https://github.com/keras-team/keras-tuner,Apache-2.0,2019-06-06 22:38:21.000000,2021-03-13 03:26:35.000000,2021-03-13 03:26:34.000000,267,145.0,153.0,2277,809.0,Hyperparameter tuning for humans.,35.0,28,True,2020-11-20 19:13:23.000000,1.0.2,5.0,keras-tuner,,,,['tensorflow'],476.0,472.0,https://pypi.org/project/keras-tuner,2020-11-20 19:00:59.000000,4.0,82916.0,82916.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n177,ipyparallel,ipython/ipyparallel,,distributed-ml,https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,BSD-3-Clause,2015-04-09 07:43:55.000000,2021-03-25 14:31:17.000000,2021-02-22 12:08:33.000000,768,146.0,107.0,1924,1830.0,Interactive Parallel Computing in Python.,97.0,28,True,2020-05-05 18:42:38.000000,6.3.0,21.0,ipyparallel,conda-forge/ipyparallel,,,['jupyter'],1958.0,1468.0,https://pypi.org/project/ipyparallel,2020-05-05 18:42:38.000000,490.0,25434.0,32241.0,https://anaconda.org/conda-forge/ipyparallel,2021-01-22 17:12:52.539000,408429.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n178,ImageHash,JohannesBuchner/imagehash,,image,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48.000000,2021-03-25 13:32:22.000000,2021-01-03 14:55:15.000000,255,22.0,74.0,1898,184.0,A Python Perceptual Image Hashing Module.,17.0,28,True,2021-03-25 13:49:48.000000,4.1.0,17.0,ImageHash,conda-forge/imagehash,,,,2785.0,2253.0,https://pypi.org/project/ImageHash,2020-11-19 14:54:24.000000,532.0,227648.0,229723.0,https://anaconda.org/conda-forge/imagehash,2020-11-19 18:20:49.964000,110014.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n179,HoloViews,holoviz/holoviews,,data-viz,https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000000,2021-03-19 23:32:13.000000,2021-03-19 23:32:13.000000,308,707.0,1837.0,1843,10156.0,\"With Holoviews, your data visualizes itself.\",102.0,28,True,2021-03-04 17:15:32.000000,1.14.2,68.0,holoviews,conda-forge/holoviews,,,['jupyter'],170.0,,https://pypi.org/project/holoviews,2021-03-03 18:39:13.000000,170.0,27165.0,41213.0,https://anaconda.org/conda-forge/holoviews,2021-03-02 20:37:26.420000,455440.0,,,,,2.0,,,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,2020-05-24 13:49:54.205000,,6329.0,,,,,,,,,,,,,,,\n180,pyLDAvis,bmabey/pyLDAvis,,interpretability,https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03.000000,2021-03-27 19:16:59.000000,2021-03-24 13:03:31.000000,302,75.0,72.0,1428,240.0,Python library for interactive topic model visualization. Port of the R LDAvis package.,32.0,28,True,2021-03-24 13:05:21.000000,3.3.1,24.0,pyldavis,conda-forge/pyldavis,,,['jupyter'],2127.0,1929.0,https://pypi.org/project/pyldavis,2021-03-24 12:57:08.000000,198.0,41250.0,41911.0,https://anaconda.org/conda-forge/pyldavis,2021-03-24 15:17:07.309000,22495.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n181,ipyleaflet,jupyter-widgets/ipyleaflet,,geospatial-data,https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10.000000,2021-03-11 08:40:09.000000,2021-03-11 08:40:06.000000,290,153.0,256.0,1105,910.0,A Jupyter - Leaflet.js bridge.,63.0,28,True,2021-01-05 16:38:38.000000,0.13.6,70.0,ipyleaflet,conda-forge/ipyleaflet,,,['jupyter'],870.0,770.0,https://pypi.org/project/ipyleaflet,2021-01-05 16:38:38.000000,98.0,9617.0,40918.0,https://anaconda.org/conda-forge/ipyleaflet,2021-01-16 23:51:37.383000,634882.0,,,,,3.0,,,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2021-01-05 16:30:30.235000,2.0,20541.0,,,,,,,,,,,,,,,\n182,PyTables,PyTables/PyTables,,data-containers,https://github.com/PyTables/PyTables,https://github.com/PyTables/PyTables,BSD-3-Clause,2011-06-03 19:44:46.000000,2021-03-26 00:08:03.000000,2021-03-20 09:04:48.000000,204,168.0,449.0,1013,3954.0,A Python package to manage extremely large amounts of data.,98.0,28,True,2019-10-30 19:33:37.000000,3.6.1,25.0,tables,conda-forge/pytables,,,,3754.0,,https://pypi.org/project/tables,2019-10-30 19:33:37.000000,3754.0,203989.0,247252.0,https://anaconda.org/conda-forge/pytables,2021-01-14 18:41:06.536000,2422650.0,,,,,2.0,126.0,,,,,,,,,,,,,,,,,,,,,,\n183,Graphviz,xflr6/graphviz,,data-viz,https://github.com/xflr6/graphviz,https://github.com/xflr6/graphviz,MIT,2014-01-12 17:49:29.000000,2021-03-14 18:19:06.000000,2021-03-14 18:18:52.000000,142,9.0,99.0,953,458.0,Simple Python interface for Graphviz.,15.0,28,True,2020-10-07 09:06:41.000000,0.14.2,47.0,graphviz,,,,,23138.0,18756.0,https://pypi.org/project/graphviz,2020-12-24 16:17:24.000000,4382.0,1838230.0,1838230.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n184,Keras-Preprocessing,keras-team/keras-preprocessing,,others,https://github.com/keras-team/keras-preprocessing,https://github.com/keras-team/keras-preprocessing,MIT,2018-05-30 22:43:36.000000,2021-02-04 19:43:30.000000,2021-02-04 19:43:30.000000,420,93.0,99.0,926,284.0,\"Utilities for working with image data, text data, and sequence data.\",50.0,28,True,2020-05-14 03:53:47.000000,1.1.2,12.0,keras-preprocessing,conda-forge/keras-preprocessing,,,['tensorflow'],2736.0,,https://pypi.org/project/keras-preprocessing,2020-05-14 03:53:47.000000,2736.0,1941496.0,1967472.0,https://anaconda.org/conda-forge/keras-preprocessing,2021-01-15 12:28:58.923000,883208.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n185,Cython BLIS,explosion/cython-blis,,others,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16.000000,2021-03-15 19:42:45.000000,2021-03-15 19:42:37.000000,24,6.0,16.0,164,526.0,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,9.0,28,True,2020-12-07 08:56:44.000000,0.7.4,35.0,blis,conda-forge/cython-blis,,,,9636.0,9246.0,https://pypi.org/project/blis,2020-12-07 08:56:44.000000,390.0,565824.0,584730.0,https://anaconda.org/conda-forge/cython-blis,2021-01-31 09:13:47.685000,472666.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n186,Streamlit,streamlit/streamlit,,others,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000000,2021-04-01 06:32:17.000000,2021-04-01 02:05:15.000000,1187,493.0,1154.0,14008,,Streamlit The fastest way to build data apps in Python.,96.0,27,True,2021-03-18 01:21:33.000000,0.79.0,126.0,streamlit,,,,,106.0,72.0,https://pypi.org/project/streamlit,2021-03-04 22:36:06.000000,34.0,92538.0,92538.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n187,EasyOCR,JaidedAI/EasyOCR,,ocr,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000000,2021-04-01 09:14:44.000000,2021-03-21 10:25:55.000000,1197,117.0,178.0,11097,389.0,\"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..\",76.0,27,True,2021-03-21 09:44:54.000000,1.3,21.0,easyocr,,,,,173.0,173.0,https://pypi.org/project/easyocr,2021-03-21 10:29:27.000000,0.0,6826.0,29121.0,,,,,,,,1.0,222952.0,,,,,,,,,,,,,,,,,,,,,,\n188,Rasa,RasaHQ/rasa,,nlp,https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49.000000,2021-04-01 14:15:47.000000,2021-04-01 09:06:09.000000,3345,611.0,4622.0,11083,,\"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..\",471.0,27,True,2021-03-29 20:27:02.000000,1.10.24,195.0,rasa,,,,['tensorflow'],64.0,,https://pypi.org/project/rasa,2021-03-26 10:32:54.000000,64.0,56948.0,56948.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n189,NNI,microsoft/nni,,hyperopt,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44.000000,2021-04-01 08:45:38.000000,2021-04-01 03:24:04.000000,1269,286.0,897.0,9370,2004.0,\"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..\",125.0,27,True,2021-03-10 12:14:49.000000,2.1,39.0,nni,,,,,112.0,96.0,https://pypi.org/project/nni,2021-03-10 11:53:09.000000,16.0,1230.0,1230.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n190,Dopamine,google/dopamine,,reinforcement-learning,https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36.000000,2021-03-19 14:32:39.000000,2021-03-03 22:24:01.000000,1242,80.0,71.0,9357,223.0,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,14.0,27,True,2021-02-12 20:18:33.000000,3.1.9,36.0,dopamine-rl,,,,['tensorflow'],62.0,,https://pypi.org/project/dopamine-rl,2021-03-03 22:26:11.000000,62.0,42026.0,42026.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n191,AutoKeras,keras-team/autokeras,,hyperopt,https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20.000000,2021-03-27 04:52:50.000000,2021-03-18 20:17:05.000000,1259,59.0,668.0,7881,1250.0,AutoML library for deep learning.,129.0,27,True,2020-11-30 02:43:50.000000,1.0.12,46.0,autokeras,,,,['tensorflow'],165.0,158.0,https://pypi.org/project/autokeras,2020-11-30 02:43:50.000000,7.0,3431.0,3431.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n192,pretrainedmodels,Cadene/pretrained-models.pytorch,,pytorch-utils,https://github.com/Cadene/pretrained-models.pytorch,https://github.com/Cadene/pretrained-models.pytorch,BSD-3-Clause,2017-04-09 15:54:23.000000,2020-06-08 16:06:59.000000,2020-04-16 08:02:22.000000,1655,88.0,88.0,7833,154.0,\"Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.\",22.0,27,True,2018-10-29 08:18:45.000000,0.7.4,16.0,pretrainedmodels,,,,['pytorch'],1046.0,942.0,https://pypi.org/project/pretrainedmodels,2018-10-29 08:18:45.000000,104.0,13701.0,13701.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n193,TensorLayer,tensorlayer/tensorlayer,,reinforcement-learning,https://github.com/tensorlayer/tensorlayer,https://github.com/tensorlayer/tensorlayer,Apache-2.0,2016-06-07 15:55:16.000000,2021-03-17 01:32:06.000000,2021-03-17 01:32:00.000000,1460,17.0,433.0,6543,3346.0,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,131.0,27,True,2021-01-06 07:16:21.000000,2.2.4,82.0,tensorlayer,,,,['tensorflow'],68.0,,https://pypi.org/project/tensorlayer,2020-06-19 00:53:37.000000,68.0,1091.0,1113.0,,,,,,,,1.0,1257.0,,,,,,,,,,,,,,,,,,,,,,\n194,imageai,OlafenwaMoses/ImageAI,,image,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33.000000,2021-03-19 01:20:17.000000,2021-01-05 01:31:12.000000,1688,201.0,411.0,6025,290.0,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,13.0,27,True,2021-01-05 01:26:01.000000,2.1.6,10.0,imageai,,,,,784.0,760.0,https://pypi.org/project/imageai,2021-01-05 01:26:01.000000,24.0,3589.0,19114.0,,,,,,,,2.0,558935.0,,,,,,,,,,,,,,,,,,,,,,\n195,tensorpack,tensorpack/tensorpack,,ml-frameworks,https://github.com/tensorpack/tensorpack,https://github.com/tensorpack/tensorpack,Apache-2.0,2015-12-25 23:08:44.000000,2021-03-02 06:18:21.000000,2021-03-02 06:18:10.000000,1772,8.0,1312.0,5975,2930.0,\"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.\",55.0,27,True,2020-04-24 19:01:06.000000,0.10.1,37.0,tensorpack,,,,['tensorflow'],795.0,719.0,https://pypi.org/project/tensorpack,2021-01-22 08:44:03.000000,76.0,4041.0,4043.0,,,,,,,,3.0,116.0,,,,,,,,,,,,,,,,,,,,,,\n196,tsfresh,blue-yonder/tsfresh,,time-series-data,https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17.000000,2021-04-01 14:38:36.000000,2021-03-30 12:58:51.000000,867,42.0,417.0,5525,398.0,Automatic extraction of relevant features from time series:.,75.0,27,True,2021-03-06 08:49:53.000000,0.18.0,26.0,tsfresh,conda-forge/tsfresh,,,['sklearn'],66.0,,https://pypi.org/project/tsfresh,2020-09-09 21:08:22.000000,66.0,92030.0,92793.0,https://anaconda.org/conda-forge/tsfresh,2021-03-07 06:57:04.012000,31303.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n197,faust,robinhood/faust,,data-pipelines,https://github.com/robinhood/faust,https://github.com/robinhood/faust,BSD-3-Clause,2017-03-08 18:36:11.000000,2021-01-21 01:53:26.000000,2020-10-09 12:59:42.000000,451,235.0,223.0,5423,4137.0,Python Stream Processing.,91.0,27,True,2020-02-25 22:57:18.000000,1.10.4,46.0,faust,,,,,709.0,681.0,https://pypi.org/project/faust,2020-02-25 22:57:18.000000,28.0,192084.0,192084.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n198,CleverHans,cleverhans-lab/cleverhans,,adversarial,https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04.000000,2021-03-31 02:50:27.000000,2021-03-31 02:50:27.000000,1250,23.0,415.0,5033,3189.0,\"An adversarial example library for constructing attacks, building defenses, and benchmarking both.\",122.0,27,True,2021-02-01 06:35:42.000000,3.1.0,7.0,cleverhans,,,,['tensorflow'],217.0,201.0,https://pypi.org/project/cleverhans,2018-11-27 17:36:15.000000,16.0,266.0,266.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n199,Bayesian Optimization,fmfn/BayesianOptimization,,hyperopt,https://github.com/fmfn/BayesianOptimization,https://github.com/fmfn/BayesianOptimization,MIT,2014-06-06 08:18:56.000000,2021-03-17 21:02:26.000000,2020-12-19 01:11:23.000000,1097,40.0,164.0,5005,199.0,A Python implementation of global optimization with gaussian processes.,27.0,27,True,2020-05-16 16:03:51.000000,1.2.0,8.0,bayesian-optimization,,,,,770.0,678.0,https://pypi.org/project/bayesian-optimization,2020-05-16 15:56:09.000000,92.0,36672.0,36673.0,,,,,,,,2.0,53.0,,,,,,,,,,,,,,,,,,,,,,\n200,GluonCV,dmlc/gluon-cv,,image,https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21.000000,2021-03-30 09:01:57.000000,2021-03-27 05:23:10.000000,1066,381.0,380.0,4650,855.0,Gluon CV Toolkit.,111.0,27,True,2021-03-28 22:53:04.000000,0.10.1,1045.0,gluoncv,,,,['mxnet'],479.0,449.0,https://pypi.org/project/gluoncv,2021-03-30 09:01:57.000000,30.0,29693.0,29693.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n201,PDFMiner,euske/pdfminer,,data-loading,https://github.com/euske/pdfminer,https://github.com/euske/pdfminer,MIT,2010-12-12 12:50:22.000000,2021-02-16 14:43:27.000000,2020-01-18 07:00:32.000000,1043,226.0,40.0,4542,540.0,Python PDF Parser (Not actively maintained). Check out pdfminer.six.,28.0,27,False,,,24.0,pdfminer,conda-forge/pdfminer,,,,3598.0,2132.0,https://pypi.org/project/pdfminer,2019-11-25 12:02:21.000000,1466.0,61989.0,62259.0,https://anaconda.org/conda-forge/pdfminer,2021-02-15 15:07:18.804000,15132.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n202,snorkel,snorkel-team/snorkel,,data-loading,https://github.com/snorkel-team/snorkel,https://github.com/snorkel-team/snorkel,Apache-2.0,2016-02-26 05:52:45.000000,2021-03-30 07:46:34.000000,2021-03-13 23:03:14.000000,735,21.0,918.0,4534,2652.0,A system for quickly generating training data with weak supervision.,64.0,27,True,2021-03-09 21:51:40.000000,0.9.7,19.0,snorkel,conda-forge/snorkel,,,,85.0,77.0,https://pypi.org/project/snorkel,2021-03-09 21:39:08.000000,8.0,49772.0,50601.0,https://anaconda.org/conda-forge/snorkel,2021-03-16 04:08:56.469000,17147.0,,,,,3.0,668.0,,,,,,,,,,,,,,,,,,,,,,\n203,librosa,librosa/librosa,,audio,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000000,2021-03-26 13:15:07.000000,2021-03-26 13:15:07.000000,717,69.0,789.0,4386,,Python library for audio and music analysis.,83.0,27,True,2020-07-22 01:34:55.000000,0.8.0,28.0,librosa,conda-forge/librosa,,,,11856.0,10106.0,https://pypi.org/project/librosa,2020-07-22 01:34:55.000000,1750.0,196201.0,200845.0,https://anaconda.org/conda-forge/librosa,2020-07-22 10:27:18.402000,264724.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n204,DEAP,deap/deap,,distributed-ml,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39.000000,2021-04-01 13:30:26.000000,2020-12-25 17:33:18.000000,877,207.0,226.0,4142,2147.0,Distributed Evolutionary Algorithms in Python.,67.0,27,False,2020-01-21 01:18:06.000000,1.3.1,16.0,deap,conda-forge/deap,,,,2186.0,1704.0,https://pypi.org/project/deap,2020-01-21 01:18:06.000000,482.0,38325.0,40428.0,https://anaconda.org/conda-forge/deap,2021-01-13 14:43:13.393000,122028.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n205,skorch,skorch-dev/skorch,,ml-frameworks,https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000000,2021-03-28 11:35:25.000000,2021-03-26 14:17:39.000000,283,43.0,328.0,3879,949.0,A scikit-learn compatible neural network library that wraps PyTorch.,39.0,27,True,2021-03-23 15:34:51.000000,0.10.0,13.0,skorch,conda-forge/skorch,,,\"['pytorch', 'sklearn']\",317.0,291.0,https://pypi.org/project/skorch,2021-03-23 15:32:29.000000,26.0,4515.0,11874.0,https://anaconda.org/conda-forge/skorch,2021-03-24 00:24:03.810000,228148.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n206,pyfolio,quantopian/pyfolio,,financial-data,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39.000000,2021-03-13 19:32:25.000000,2020-07-15 13:46:58.000000,1143,128.0,264.0,3638,1184.0,Portfolio and risk analytics in Python.,55.0,27,True,2019-04-15 15:00:21.000000,0.9.2,22.0,pyfolio,conda-forge/pyfolio,,,,272.0,218.0,https://pypi.org/project/pyfolio,2019-04-15 15:00:21.000000,54.0,2418.0,2574.0,https://anaconda.org/conda-forge/pyfolio,2020-05-16 14:11:57.267000,5951.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n207,InterpretML,interpretml/interpret,,interpretability,https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000000,2021-03-28 07:11:18.000000,2021-03-28 07:10:53.000000,440,61.0,121.0,3601,1488.0,Fit interpretable models. Explain blackbox machine learning.,23.0,27,True,2021-01-20 02:12:33.000000,0.2.4,34.0,interpret,,,,['jupyter'],69.0,67.0,https://pypi.org/project/interpret,2021-01-20 02:10:35.000000,2.0,10313.0,10313.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n208,Alpha Vantage,RomelTorres/alpha_vantage,,financial-data,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00.000000,2021-02-17 12:42:04.000000,2020-12-21 19:51:57.000000,586,14.0,221.0,3247,497.0,A python wrapper for Alpha Vantage API for financial data.,36.0,27,True,2020-12-21 02:37:29.000000,2.3.1,28.0,alpha_vantage,,,,,202.0,,https://pypi.org/project/alpha_vantage,2018-08-26 18:55:11.000000,202.0,13164.0,13164.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n209,dyNET,clab/dynet,,ml-frameworks,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21.000000,2021-03-18 20:24:39.000000,2021-01-27 15:43:03.000000,703,259.0,661.0,3204,3267.0,DyNet: The Dynamic Neural Network Toolkit.,156.0,27,True,2020-10-21 14:31:01.000000,2.1.2,24.0,dyNET,,,,,208.0,170.0,https://pypi.org/project/dyNET,2020-10-21 14:31:01.000000,38.0,4392.0,4436.0,,,,,,,,3.0,2415.0,,,,,,,,,,,,,,,,,,,,,,\n210,Dagster,dagster-io/dagster,,data-pipelines,https://github.com/dagster-io/dagster,https://github.com/dagster-io/dagster,Apache-2.0,2018-04-30 16:30:04.000000,2021-04-01 05:37:44.000000,2021-03-31 23:29:45.000000,321,672.0,2187.0,3067,7189.0,\"A data orchestrator for machine learning, analytics, and ETL.\",127.0,27,True,2021-03-26 02:11:22.000000,0.11.2,248.0,dagster,conda-forge/dagster,,,,154.0,150.0,https://pypi.org/project/dagster,2021-03-26 01:38:40.000000,4.0,22687.0,33765.0,https://anaconda.org/conda-forge/dagster,2021-03-26 16:21:17.840000,188331.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n211,Jina,jina-ai/jina,,ml-frameworks,https://github.com/jina-ai/jina,https://github.com/jina-ai/jina,Apache-2.0,2020-02-13 17:04:44.000000,2021-04-01 13:37:41.000000,2021-04-01 12:46:07.000000,392,73.0,665.0,2676,5095.0,An easier way to build neural search on the cloud.,90.0,27,True,2021-03-29 12:55:22.000000,1.1.0,533.0,jina,,jinaai/jina,,,53.0,53.0,https://pypi.org/project/jina,2021-04-01 12:50:25.000000,,4405.0,19275.0,,,,https://hub.docker.com/r/jinaai/jina,2021-04-01 13:02:17.516560,1.0,208192.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n212,pomegranate,jmschrei/pomegranate,,probabilistics,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000000,2021-03-29 16:51:20.000000,2021-03-29 16:50:31.000000,481,45.0,555.0,2636,891.0,\"Fast, flexible and easy to use probabilistic modelling in Python.\",62.0,27,True,2021-03-19 08:09:51.000000,0.14.3,65.0,pomegranate,conda-forge/pomegranate,,,,473.0,417.0,https://pypi.org/project/pomegranate,2021-03-29 16:51:20.000000,56.0,11912.0,14350.0,https://anaconda.org/conda-forge/pomegranate,2020-11-01 16:22:04.857000,51207.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n213,Cufflinks,santosjorge/cufflinks,,data-viz,https://github.com/santosjorge/cufflinks,https://github.com/santosjorge/cufflinks,MIT,2014-11-19 20:59:33.000000,2021-02-25 05:05:09.000000,2021-02-25 05:05:09.000000,535,81.0,121.0,2127,452.0,Productivity Tools for Plotly + Pandas.,38.0,27,True,2020-03-01 17:42:01.000000,0.17.3,27.0,cufflinks,,,,['pandas'],3204.0,2970.0,https://pypi.org/project/cufflinks,2020-03-01 17:42:01.000000,234.0,37983.0,37983.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n214,ta,bukosabino/ta,,financial-data,https://github.com/bukosabino/ta,https://github.com/bukosabino/ta,MIT,2018-01-02 18:08:48.000000,2021-03-18 00:32:08.000000,2020-11-29 21:08:14.000000,492,72.0,85.0,1977,582.0,Technical Analysis Library using Pandas and Numpy.,23.0,27,True,2020-11-29 10:49:09.000000,0.7.0,49.0,ta,,,,,490.0,478.0,https://pypi.org/project/ta,2020-11-29 10:49:09.000000,12.0,20004.0,20004.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n215,TF-Agents,tensorflow/agents,,reinforcement-learning,https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000000,2021-03-31 15:34:46.000000,2021-03-31 15:34:20.000000,488,115.0,325.0,1847,1671.0,\"TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.\",88.0,27,True,2021-01-05 18:41:58.000000,0.7.1,18.0,tf-agents,,,,['tensorflow'],428.0,416.0,https://pypi.org/project/tf-agents,2021-01-05 18:41:58.000000,12.0,5850.0,5850.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n216,Foolbox,bethgelab/foolbox,,adversarial,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48.000000,2021-03-19 11:37:39.000000,2021-03-19 11:36:39.000000,337,54.0,264.0,1838,1645.0,\"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.\",31.0,27,True,2021-02-23 07:09:34.000000,3.3.1,68.0,foolbox,,,,,200.0,182.0,https://pypi.org/project/foolbox,2021-02-23 07:07:53.000000,18.0,1209.0,1209.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n217,filterpy,rlabbe/filterpy,,probabilistics,https://github.com/rlabbe/filterpy,https://github.com/rlabbe/filterpy,MIT,2014-07-15 02:15:19.000000,2021-03-02 14:46:47.000000,2021-02-08 17:55:48.000000,411,24.0,150.0,1754,536.0,\"Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman..\",33.0,27,True,2018-10-10 22:38:24.000000,1.4.5,48.0,filterpy,conda-forge/filterpy,,,,985.0,773.0,https://pypi.org/project/filterpy,2018-10-10 22:38:24.000000,212.0,12461.0,13738.0,https://anaconda.org/conda-forge/filterpy,2020-05-05 21:13:59.073000,58783.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n218,Flax,google/flax,,ml-frameworks,https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000000,2021-04-01 12:46:15.000000,2021-03-31 15:13:33.000000,184,145.0,181.0,1568,1807.0,Flax is a neural network ecosystem for JAX that is designed for flexibility.,81.0,27,True,2021-03-31 14:19:21.000000,0.3.3,12.0,flax,,,,['jax'],134.0,128.0,https://pypi.org/project/flax,2021-03-31 14:19:21.000000,6.0,49301.0,49302.0,,,,,,,,3.0,23.0,,,,,,,,,,,,,,,,,,,,,,\n219,MNE,mne-tools/mne-python,,medical-data,https://github.com/mne-tools/mne-python,https://github.com/mne-tools/mne-python,BSD-3-Clause,2011-01-28 03:31:13.000000,2021-04-01 11:10:30.000000,2021-03-31 21:18:06.000000,899,332.0,3264.0,1555,,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,256.0,27,True,2020-12-17 15:32:54.000000,0.22.0,50.0,mne,conda-forge/mne,,,,1084.0,886.0,https://pypi.org/project/mne,2020-12-17 15:32:54.000000,198.0,9719.0,12099.0,https://anaconda.org/conda-forge/mne,2020-12-20 21:44:36.472000,119000.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n220,Cartopy,mapbox/rasterio,,geospatial-data,https://github.com/mapbox/rasterio,https://github.com/mapbox/rasterio,LGPL-3.0,2013-11-04 16:36:27.000000,2021-03-31 19:10:22.000000,2021-03-31 19:10:22.000000,394,137.0,1221.0,1465,3283.0,Rasterio reads and writes geospatial raster datasets.,107.0,27,False,2020-05-04 03:02:47.000000,0.18.0,20.0,Cartopy,conda-forge/cartopy,,,,3297.0,2951.0,https://pypi.org/project/Cartopy,2021-03-12 15:15:57.000000,346.0,16646.0,40594.0,https://anaconda.org/conda-forge/cartopy,2021-03-04 22:18:05.063000,1460239.0,,,,,3.0,704.0,,,,,,,,,,,,,,,,,,,,,,\n221,datasketch,ekzhu/datasketch,,data-containers,https://github.com/ekzhu/datasketch,https://github.com/ekzhu/datasketch,MIT,2015-03-20 01:21:46.000000,2021-02-24 19:51:10.000000,2021-02-24 19:46:37.000000,207,20.0,92.0,1451,194.0,\"MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble.\",17.0,27,True,2020-12-23 21:01:43.000000,1.5.3,75.0,datasketch,,,,,351.0,265.0,https://pypi.org/project/datasketch,2020-12-23 21:01:43.000000,86.0,92001.0,92001.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,,,,,\n222,GPflow,GPflow/GPflow,,probabilistics,https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000000,2021-04-01 14:35:57.000000,2021-03-19 14:04:42.000000,389,86.0,604.0,1414,2203.0,Gaussian processes in TensorFlow.,70.0,27,True,2020-12-01 13:12:15.000000,2.1.4,28.0,gpflow,conda-forge/gpflow,,,['tensorflow'],270.0,236.0,https://pypi.org/project/gpflow,2020-12-01 13:12:15.000000,34.0,1317.0,1560.0,https://anaconda.org/conda-forge/gpflow,2018-11-06 08:51:39.744000,8534.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n223,Model Analysis,tensorflow/model-analysis,,interpretability,https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000000,2021-03-31 22:30:46.000000,2021-03-31 22:30:42.000000,212,26.0,37.0,1048,938.0,Model analysis tools for TensorFlow.,34.0,27,True,2021-03-24 22:30:29.000000,0.29.0,36.0,tensorflow-model-analysis,,,,\"['tensorflow', 'jupyter']\",20.0,,https://pypi.org/project/tensorflow-model-analysis,2021-03-24 22:30:29.000000,20.0,4956880.0,4956880.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n224,petl,petl-developers/petl,,data-pipelines,https://github.com/petl-developers/petl,https://github.com/petl-developers/petl,MIT,2011-08-19 09:51:03.000000,2021-03-27 03:06:14.000000,2021-03-27 02:58:36.000000,153,68.0,345.0,866,1143.0,Python Extract Transform and Load Tables of Data.,45.0,27,True,2021-03-27 03:06:14.000000,1.7.4,79.0,petl,conda-forge/petl,,http://petl.readthedocs.org,,465.0,351.0,https://pypi.org/project/petl,2021-03-27 03:06:14.000000,114.0,11457.0,11857.0,https://anaconda.org/conda-forge/petl,2021-03-26 18:00:23.899000,22026.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n225,igraph,igraph/python-igraph,,graph,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16.000000,2021-03-30 08:49:54.000000,2021-03-30 08:49:46.000000,184,23.0,274.0,803,1672.0,Python interface for igraph.,50.0,27,False,2021-03-26 10:08:11.000000,0.9.1,20.0,python-igraph,conda-forge/igraph,,,,1968.0,1544.0,https://pypi.org/project/python-igraph,2021-03-26 10:09:48.000000,424.0,31373.0,37377.0,https://anaconda.org/conda-forge/igraph,2021-03-29 19:35:25.048000,208637.0,,,,,1.0,99578.0,,,,,,,,,,,,,,,,,,,,,,\n226,PyVista,pyvista/pyvista,,data-viz,https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000000,2021-04-01 05:50:25.000000,2021-04-01 00:02:26.000000,149,135.0,296.0,754,2150.0,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,56.0,27,True,2021-03-09 20:06:56.000000,0.29.0,39.0,pyvista,conda-forge/pyvista,,,['jupyter'],308.0,282.0,https://pypi.org/project/pyvista,2021-03-09 20:06:56.000000,26.0,7982.0,11167.0,https://anaconda.org/conda-forge/pyvista,2021-03-10 05:02:13.450000,73247.0,,,,,2.0,68.0,,,,,,,,,,,,,,,,,,,,,,\n227,patsy,pydata/patsy,,probabilistics,https://github.com/pydata/patsy,https://github.com/pydata/patsy,BSD-2-Clause,2012-07-10 12:30:06.000000,2020-09-09 13:00:29.000000,2018-10-31 21:55:48.000000,85,78.0,52.0,743,517.0,Describing statistical models in Python using symbolic formulas.,13.0,27,False,2018-10-28 05:07:55.000000,0.5.1,8.0,patsy,conda-forge/patsy,,,,36920.0,31996.0,https://pypi.org/project/patsy,2018-10-28 03:59:51.000000,4924.0,922210.0,972277.0,https://anaconda.org/conda-forge/patsy,2018-10-28 05:21:35.412000,2803767.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n228,geojson,jazzband/geojson,,geospatial-data,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48.000000,2021-03-21 16:52:10.000000,2021-03-21 16:52:09.000000,83,20.0,52.0,611,448.0,Python bindings and utilities for GeoJSON.,44.0,27,True,2019-08-09 20:32:15.000000,2.5.0,28.0,geojson,conda-forge/geojson,,,,8015.0,6181.0,https://pypi.org/project/geojson,2019-08-09 20:32:15.000000,1834.0,269942.0,276255.0,https://anaconda.org/conda-forge/geojson,2019-08-11 12:10:34.426000,385127.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n229,data-validation,tensorflow/data-validation,,data-viz,https://github.com/tensorflow/data-validation,https://github.com/tensorflow/data-validation,Apache-2.0,2018-07-02 15:47:02.000000,2021-03-25 20:10:42.000000,2021-03-25 20:10:38.000000,95,37.0,79.0,533,595.0,Library for exploring and validating machine learning data.,20.0,27,True,2021-03-24 21:31:52.000000,0.29.0,26.0,tensorflow-data-validation,,,,\"['tensorflow', 'jupyter']\",268.0,250.0,https://pypi.org/project/tensorflow-data-validation,2021-03-24 21:31:52.000000,18.0,5087970.0,5087976.0,,,,,,,,2.0,208.0,,,,,,,,,,,,,,,,,,,,,,\n230,DIPY,dipy/dipy,,medical-data,https://github.com/dipy/dipy,https://github.com/dipy/dipy,BSD-3-Clause,2010-02-06 11:43:08.000000,2021-04-01 14:42:59.000000,2021-03-23 23:14:21.000000,313,156.0,580.0,421,11435.0,\"DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal..\",117.0,27,True,2020-11-05 17:35:53.000000,1.3.0,22.0,dipy,conda-forge/dipy,,,,442.0,348.0,https://pypi.org/project/dipy,2021-03-14 14:05:15.000000,94.0,4217.0,7622.0,https://anaconda.org/conda-forge/dipy,2021-03-14 18:36:59.155000,200925.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n231,baselines,openai/baselines,,reinforcement-learning,https://github.com/openai/baselines,https://github.com/openai/baselines,MIT,2017-05-24 01:58:13.000000,2021-02-21 12:16:56.000000,2020-01-31 13:06:18.000000,3915,454.0,426.0,11342,347.0,OpenAI Baselines: high-quality implementations of reinforcement learning algorithms.,114.0,26,False,2018-02-26 17:07:07.000000,0.1.5,6.0,baselines,,,,,368.0,294.0,https://pypi.org/project/baselines,2018-02-26 17:07:07.000000,74.0,858.0,858.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n232,dgl,dmlc/dgl,,graph,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000000,2021-04-01 14:02:26.000000,2021-04-01 08:29:49.000000,1424,254.0,758.0,6989,1640.0,\"Python package built to ease deep learning on graph, on top of existing DL frameworks.\",118.0,26,True,2021-03-09 18:23:16.000000,0.6.0post1,398.0,dgl,,,,,30.0,,https://pypi.org/project/dgl,2021-03-30 09:47:25.000000,30.0,11574.0,11574.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n233,carla,carla-simulator/carla,,others,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000000,2021-04-01 10:33:14.000000,2021-02-16 14:27:47.000000,1689,325.0,2795.0,5766,4760.0,Open-source simulator for autonomous driving research.,122.0,26,True,2020-12-23 07:08:35.000000,0.9.11,22.0,carla,,,,,66.0,62.0,https://pypi.org/project/carla,2019-04-28 17:45:24.000000,4.0,309.0,309.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n234,auto-sklearn,automl/auto-sklearn,,hyperopt,https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10.000000,2021-04-01 14:51:09.000000,2021-03-25 12:04:13.000000,989,111.0,601.0,5325,2440.0,Automated Machine Learning with scikit-learn.,64.0,26,True,2021-03-29 11:39:25.000000,0.12.5,30.0,auto-sklearn,,,,['sklearn'],171.0,141.0,https://pypi.org/project/auto-sklearn,2021-03-25 19:32:06.000000,30.0,4787.0,4787.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n235,DeepPavlov,deepmipt/DeepPavlov,,nlp,https://github.com/deepmipt/DeepPavlov,https://github.com/deepmipt/DeepPavlov,Apache-2.0,2017-11-17 14:35:29.000000,2021-03-31 13:21:18.000000,2020-12-24 16:30:15.000000,933,118.0,457.0,5111,2579.0,An open source library for deep learning end-to-end dialog systems and chatbots.,61.0,26,True,2020-12-24 16:35:56.000000,0.14.0,41.0,deeppavlov,,,,['tensorflow'],190.0,182.0,https://pypi.org/project/deeppavlov,2020-12-24 16:33:49.000000,8.0,5468.0,5468.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n236,Datasette,simonw/datasette,,others,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000000,2021-03-29 19:57:49.000000,2021-03-29 19:57:34.000000,273,251.0,779.0,4911,1608.0,An open source multi-tool for exploring and publishing data.,49.0,26,True,2021-03-29 00:43:36.000000,0.56,92.0,datasette,,,,,465.0,395.0,https://pypi.org/project/datasette,2021-03-29 00:49:36.000000,70.0,4652.0,4652.0,,,,,,,,2.0,29.0,,,,,,,,,datasette,,,,,,,,,,,,,\n237,scikit-surprise,NicolasHug/Surprise,,recommender-systems,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38.000000,2020-10-13 01:22:58.850000,2020-08-05 17:45:59.000000,858,50.0,286.0,4768,622.0,A Python scikit for building and analyzing recommender systems.,38.0,26,True,2020-07-19 14:50:48.000000,1.1.1,9.0,scikit-surprise,conda-forge/scikit-surprise,,,,1017.0,969.0,https://pypi.org/project/scikit-surprise,2020-07-19 14:50:48.000000,48.0,15293.0,19526.0,https://anaconda.org/conda-forge/scikit-surprise,2020-10-13 01:22:58.850000,165124.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n238,Metaflow,Netflix/metaflow,,ml-experiments,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000000,2021-04-01 05:06:19.000000,2021-03-19 01:27:49.000000,352,134.0,146.0,4201,196.0,Build and manage real-life data science projects with ease.,29.0,26,True,2021-03-15 19:56:43.000000,2.2.8,17.0,metaflow,conda-forge/metaflow,,,,113.0,111.0,https://pypi.org/project/metaflow,2021-02-09 01:25:56.000000,2.0,16712.0,17558.0,https://anaconda.org/conda-forge/metaflow,2021-03-16 02:30:45.261000,13548.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n239,OCRmyPDF,jbarlow83/OCRmyPDF,,ocr,https://github.com/jbarlow83/OCRmyPDF,https://github.com/jbarlow83/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000000,2021-04-01 06:26:44.000000,2021-03-26 23:13:28.000000,436,97.0,584.0,4049,2861.0,\"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.\",51.0,26,True,2021-03-21 19:53:48.000000,11.7.3,165.0,ocrmypdf,,,,,145.0,133.0,https://pypi.org/project/ocrmypdf,2021-03-21 19:53:48.000000,12.0,6971.0,6971.0,,,,,,,,2.0,,,,,,,,,,ocrmypdf,ocrmypdf,,,,,,,,,,,,\n240,lightfm,lyst/lightfm,,recommender-systems,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00.000000,2021-03-25 21:33:37.000000,2021-02-07 21:16:06.000000,584,79.0,339.0,3540,428.0,\"A Python implementation of LightFM, a hybrid recommendation algorithm.\",44.0,26,True,2020-11-27 19:48:30.000000,1.16,14.0,lightfm,conda-forge/lightfm,,,,474.0,418.0,https://pypi.org/project/lightfm,2020-11-27 19:55:08.000000,56.0,52253.0,54396.0,https://anaconda.org/conda-forge/lightfm,2021-02-07 22:19:58.097000,83607.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n241,Perspective,finos/perspective,,data-viz,https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000000,2021-03-31 23:39:07.000000,2021-03-22 14:58:39.000000,351,78.0,326.0,3293,4372.0,Streaming pivot visualization via WebAssembly.,62.0,26,True,2021-02-24 14:38:08.000000,0.6.1,40.0,perspective-python,,,,['jupyter'],189.0,181.0,https://pypi.org/project/perspective-python,2021-02-24 14:38:08.000000,8.0,365.0,2361.0,,,,,,,,3.0,,,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2021-02-12 04:20:19.050000,,1996.0,,,,,,,,,,,,,,,\n242,AutoGluon,awslabs/autogluon,,hyperopt,https://github.com/awslabs/autogluon,https://github.com/awslabs/autogluon,Apache-2.0,2019-07-29 18:51:24.000000,2021-04-01 10:42:45.000000,2021-03-31 07:21:55.000000,399,115.0,312.0,3066,566.0,\"AutoGluon: AutoML for Text, Image, and Tabular Data.\",55.0,26,True,2021-03-01 22:07:04.000000,0.1.0,371.0,autogluon,,,,['mxnet'],47.0,47.0,https://pypi.org/project/autogluon,2021-03-31 09:04:29.000000,0.0,11098.0,11098.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n243,textract,deanmalmgren/textract,,data-loading,https://github.com/deanmalmgren/textract,https://github.com/deanmalmgren/textract,MIT,2014-07-03 20:36:59.000000,2021-03-15 14:04:14.000000,2019-11-14 08:37:39.000000,424,84.0,121.0,2985,556.0,extract text from any document. no muss. no fuss.,30.0,26,False,2019-08-26 15:05:53.000000,1.6.3,15.0,textract,conda-forge/textract,,,,192.0,,https://pypi.org/project/textract,2019-08-26 15:05:53.000000,192.0,13857.0,14054.0,https://anaconda.org/conda-forge/textract,2017-03-20 21:15:33.254000,10869.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n244,ftfy,LuminosoInsight/python-ftfy,,nlp,https://github.com/LuminosoInsight/python-ftfy,https://github.com/LuminosoInsight/python-ftfy,MIT,2012-08-24 16:14:59.000000,2021-03-31 22:03:25.000000,2021-02-11 19:54:35.000000,101,11.0,99.0,2918,524.0,\"Fixes mojibake and other glitches in Unicode text, after the fact.\",17.0,26,True,2020-02-18 16:42:00.000000,5.6.1,42.0,ftfy,conda-forge/ftfy,,,,3749.0,2989.0,https://pypi.org/project/ftfy,2021-02-11 19:55:25.000000,760.0,239454.0,241493.0,https://anaconda.org/conda-forge/ftfy,2021-01-20 08:08:09.562000,97909.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n245,vaderSentiment,cjhutto/vaderSentiment,,nlp,https://github.com/cjhutto/vaderSentiment,https://github.com/cjhutto/vaderSentiment,MIT,2014-11-17 16:31:45.000000,2021-03-15 18:43:06.000000,2021-03-15 18:43:06.000000,757,31.0,74.0,2899,127.0,VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based..,10.0,26,True,2020-05-22 15:07:00.000000,3.3.2,15.0,vadersentiment,,,,,2731.0,2445.0,https://pypi.org/project/vadersentiment,2020-05-22 15:07:00.000000,286.0,60878.0,60878.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n246,nevergrad,facebookresearch/nevergrad,,hyperopt,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000000,2021-04-01 11:22:14.000000,2021-03-29 13:50:24.000000,272,80.0,126.0,2880,806.0,A Python toolbox for performing gradient-free optimization.,42.0,26,True,2021-01-28 12:05:40.000000,0.4.3,27.0,nevergrad,conda-forge/nevergrad,,,,165.0,151.0,https://pypi.org/project/nevergrad,2021-01-28 12:05:40.000000,14.0,10037.0,10639.0,https://anaconda.org/conda-forge/nevergrad,2020-12-14 18:21:29.267000,7227.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n247,DeepChem,deepchem/deepchem,,others,https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000000,2021-04-01 06:59:39.000000,2021-03-23 21:44:16.000000,946,358.0,868.0,2845,6294.0,\"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.\",151.0,26,True,2021-03-18 03:10:52.000000,2.5.0,231.0,deepchem,,,,['tensorflow'],42.0,38.0,https://pypi.org/project/deepchem,2021-03-22 20:31:30.000000,4.0,1417.0,1417.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n248,missingno,ResidentMario/missingno,,data-viz,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50.000000,2020-12-28 16:13:39.000000,2020-12-28 16:13:38.000000,353,19.0,88.0,2711,170.0,Missing data visualization module for Python.,15.0,26,True,2019-07-09 16:05:14.000000,0.4.2,22.0,missingno,conda-forge/missingno,,,,3374.0,3222.0,https://pypi.org/project/missingno,2019-07-09 16:05:14.000000,152.0,110657.0,112485.0,https://anaconda.org/conda-forge/missingno,2020-02-15 10:07:41.253000,82302.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n249,Catalyst,catalyst-team/catalyst,,ml-experiments,https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13.000000,2021-04-01 08:54:11.000000,2021-04-01 07:26:40.000000,294,7.0,279.0,2497,1494.0,Accelerated deep learning R&D.,83.0,26,True,2021-03-29 06:20:55.000000,21.03.2,91.0,catalyst,,,,['pytorch'],363.0,325.0,https://pypi.org/project/catalyst,2021-03-29 06:20:04.000000,38.0,3577.0,3577.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n250,pygal,Kozea/pygal,,graph,https://github.com/Kozea/pygal,https://github.com/Kozea/pygal,LGPL-3.0,2011-09-23 10:17:50.000000,2021-03-18 13:12:51.000000,2021-03-18 13:12:51.000000,380,164.0,240.0,2335,1014.0,PYthon svg GrAph plotting Library.,70.0,26,False,2017-07-05 09:22:41.000000,2.4.0,74.0,pygal,conda-forge/pygal,,,,1152.0,,https://pypi.org/project/pygal,2020-10-14 13:06:35.000000,1152.0,37008.0,37279.0,https://anaconda.org/conda-forge/pygal,2019-06-04 02:55:56.728000,5980.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n251,eli5,TeamHG-Memex/eli5,,interpretability,https://github.com/TeamHG-Memex/eli5,https://github.com/TeamHG-Memex/eli5,MIT,2016-09-15 01:04:57.000000,2021-01-25 08:24:59.385000,2020-01-22 07:39:36.000000,296,145.0,110.0,2331,1198.0,A library for debugging/inspecting machine learning classifiers and explaining their predictions.,14.0,26,False,2021-01-23 14:25:24.000000,0.11.0,28.0,eli5,conda-forge/eli5,,,,110.0,,https://pypi.org/project/eli5,2021-01-23 14:25:24.000000,110.0,116191.0,118130.0,https://anaconda.org/conda-forge/eli5,2021-01-25 08:24:59.385000,91148.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n252,implicit,benfred/implicit,,recommender-systems,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000000,2021-03-18 15:42:47.000000,2021-03-13 19:39:55.000000,490,84.0,260.0,2302,304.0,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,29.0,26,True,2020-09-15 22:01:38.000000,0.4.4,34.0,implicit,conda-forge/implicit,,,,432.0,388.0,https://pypi.org/project/implicit,2020-09-15 22:01:38.000000,44.0,47105.0,52686.0,https://anaconda.org/conda-forge/implicit,2020-11-24 06:44:37.378000,217661.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n253,gpustat,wookayin/gpustat,,gpu-utilities,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43.000000,2021-03-23 06:32:48.000000,2021-03-23 06:32:48.000000,195,19.0,49.0,2284,168.0,A simple command-line utility for querying and monitoring GPU status.,12.0,26,True,2019-07-22 06:37:00.000000,0.6.0,11.0,gpustat,conda-forge/gpustat,,,,778.0,720.0,https://pypi.org/project/gpustat,2021-01-02 05:59:41.000000,58.0,132397.0,133905.0,https://anaconda.org/conda-forge/gpustat,2020-11-24 19:59:04.772000,37716.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n254,ClearML,allegroai/clearml,,ml-experiments,https://github.com/allegroai/clearml,https://github.com/allegroai/clearml,Apache-2.0,2019-06-10 08:18:32.000000,2021-04-01 12:22:39.000000,2021-04-01 12:22:38.000000,331,70.0,211.0,2260,1099.0,\"ClearML - Auto-Magical Suite of tools to streamline your ML workflow. Experiment Manager, ML-Ops and Data-Management.\",27.0,26,True,2021-03-16 08:28:48.000000,0.17.5,40.0,clearml,,allegroai/trains,,,22.0,22.0,https://pypi.org/project/clearml,2021-03-11 17:30:50.000000,0.0,7282.0,8659.0,,,,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,30018.0,2.0,297.0,,2.0,,,,,,,,,,,,,,,,,,,,\n255,GluonNLP,dmlc/gluon-nlp,,nlp,https://github.com/dmlc/gluon-nlp,https://github.com/dmlc/gluon-nlp,Apache-2.0,2018-04-04 20:57:13.000000,2021-03-31 12:30:47.000000,2021-03-24 15:17:30.000000,508,252.0,289.0,2247,828.0,\"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..\",81.0,26,True,2020-08-13 19:17:42.000000,0.10.0,26.0,gluonnlp,,,,['mxnet'],454.0,432.0,https://pypi.org/project/gluonnlp,2020-08-13 19:17:42.000000,22.0,16931.0,16931.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n256,Core ML Tools,apple/coremltools,,model-serialisation,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000000,2021-03-31 23:01:44.000000,2021-03-18 00:10:55.000000,349,342.0,347.0,2155,868.0,\"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.\",111.0,26,True,2021-02-05 02:07:15.000000,4.1,28.0,coremltools,,,,,753.0,487.0,https://pypi.org/project/coremltools,2021-02-05 01:28:44.000000,266.0,24227.0,24286.0,,,,,,,,1.0,2551.0,,,,,,,,,,,,,,,,,,,,,,\n257,BoTorch,pytorch/botorch,,hyperopt,https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000000,2021-03-31 23:41:12.000000,2021-03-30 19:17:18.000000,196,43.0,134.0,1896,874.0,Bayesian optimization in PyTorch.,53.0,26,True,2021-02-23 21:33:59.000000,0.4.0,16.0,botorch,,,,['pytorch'],104.0,104.0,https://pypi.org/project/botorch,2020-12-08 06:47:25.000000,0.0,24630.0,24630.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n258,PyFunctional,EntilZha/PyFunctional,,data-pipelines,https://github.com/EntilZha/PyFunctional,https://github.com/EntilZha/PyFunctional,MIT,2015-02-05 17:17:51.000000,2021-03-03 14:08:08.000000,2021-03-03 14:08:00.000000,99,3.0,116.0,1825,517.0,Python library for creating data pipelines with chain functional programming.,23.0,26,True,2021-01-12 19:21:07.000000,1.4.3,14.0,pyfunctional,,,,,273.0,273.0,https://pypi.org/project/pyfunctional,2021-01-12 19:14:48.000000,0.0,22587.0,22587.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n259,langid,saffsd/langid.py,,nlp,https://github.com/saffsd/langid.py,https://github.com/saffsd/langid.py,BSD-3-Clause,2011-04-29 00:16:56.000000,2020-01-01 10:49:30.000000,2017-07-15 02:49:17.000000,266,25.0,45.0,1764,242.0,Stand-alone language identification system.,9.0,26,False,2016-04-05 22:34:15.000000,1.1.6,8.0,langid,,,,,898.0,648.0,https://pypi.org/project/langid,2016-04-05 22:34:15.000000,250.0,264866.0,264866.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n260,textacy,chartbeat-labs/textacy,,nlp,https://github.com/chartbeat-labs/textacy,https://github.com/chartbeat-labs/textacy,Apache-2.0,2016-02-03 16:52:45.000000,2021-03-31 15:01:01.000000,2021-01-09 19:21:48.000000,225,37.0,194.0,1635,1332.0,\"NLP, before and after spaCy.\",29.0,26,True,2020-08-29 20:51:28.000000,0.10.1,29.0,textacy,conda-forge/textacy,,,,154.0,,https://pypi.org/project/textacy,2020-08-29 20:51:28.000000,154.0,26944.0,28674.0,https://anaconda.org/conda-forge/textacy,2020-11-19 15:32:56.211000,81310.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n261,jellyfish,jamesturk/jellyfish,,nlp,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,BSD-2-Clause,2010-07-09 20:41:11.000000,2021-03-16 05:35:41.000000,2021-03-11 19:15:57.000000,128,12.0,87.0,1427,,a python library for doing approximate and phonetic matching of strings.,21.0,26,True,2020-05-21 20:37:01.000000,0.8.2,27.0,jellyfish,conda-forge/jellyfish,,,,2886.0,2240.0,https://pypi.org/project/jellyfish,2020-05-21 20:37:01.000000,646.0,471488.0,473652.0,https://anaconda.org/conda-forge/jellyfish,2021-01-08 15:04:47.681000,119042.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n262,hnswlib,nmslib/hnswlib,,nn-search,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000000,2021-04-01 04:13:44.000000,2021-02-04 04:34:33.000000,263,91.0,108.0,1427,275.0,Header-only C++/python library for fast approximate nearest neighbors.,41.0,26,True,2021-02-04 04:55:19.000000,0.5.1,5.0,hnswlib,,,,,107.0,105.0,https://pypi.org/project/hnswlib,2021-02-04 04:55:19.000000,2.0,12271.0,12271.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n263,tesserocr,sirfz/tesserocr,,ocr,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36.000000,2021-03-27 15:02:05.000000,2021-03-23 20:36:58.000000,199,63.0,147.0,1423,157.0,A Python wrapper for the tesseract-ocr API.,24.0,26,True,2020-03-17 17:45:44.000000,2.5.1,15.0,tesserocr,conda-forge/tesserocr,,,,578.0,478.0,https://pypi.org/project/tesserocr,2020-03-17 17:45:44.000000,100.0,17114.0,19329.0,https://anaconda.org/conda-forge/tesserocr,2021-01-13 16:38:14.456000,39886.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n264,agate,wireservice/agate,,others,https://github.com/wireservice/agate,https://github.com/wireservice/agate,MIT,2014-04-25 13:59:09.000000,2021-03-10 22:20:57.000000,2021-03-10 22:04:12.000000,133,54.0,588.0,1035,1356.0,A Python data analysis library that is optimized for humans instead of machines.,47.0,26,True,2018-03-11 14:37:30.000000,1.6.1,24.0,agate,conda-forge/agate,,,,767.0,525.0,https://pypi.org/project/agate,2018-03-11 14:37:30.000000,242.0,154248.0,155485.0,https://anaconda.org/conda-forge/agate,2018-08-19 06:02:58.597000,61852.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n265,Mesh,tensorflow/mesh,,distributed-ml,https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34.000000,2021-03-31 23:01:35.000000,2021-03-31 23:01:28.000000,162,79.0,13.0,957,597.0,Mesh TensorFlow: Model Parallelism Made Easier.,40.0,26,True,2021-03-24 19:03:46.000000,0.1.19,25.0,mesh-tensorflow,,,,['tensorflow'],567.0,511.0,https://pypi.org/project/mesh-tensorflow,2021-03-24 19:03:46.000000,56.0,35827.0,35827.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n266,pmdarima,alkaline-ml/pmdarima,,time-series-data,https://github.com/alkaline-ml/pmdarima,https://github.com/alkaline-ml/pmdarima,MIT,2017-03-30 14:58:30.000000,2021-02-24 12:56:43.000000,2021-02-24 12:47:29.000000,156,18.0,211.0,851,1026.0,\"A statistical library designed to fill the void in Python's time series analysis capabilities, including the..\",17.0,26,True,2020-12-02 23:17:04.000000,1.8.0,28.0,pmdarima,,,,,851.0,839.0,https://pypi.org/project/pmdarima,2020-12-02 23:17:04.000000,12.0,144292.0,144292.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n267,pyclustering,annoviko/pyclustering,,others,https://github.com/annoviko/pyclustering,https://github.com/annoviko/pyclustering,BSD-3-Clause,2014-02-25 18:59:03.000000,2021-02-12 23:22:26.000000,2021-02-12 19:04:59.000000,188,49.0,584.0,811,2079.0,\"pyclustring is a Python, C++ data mining library.\",26.0,26,True,2020-11-25 22:33:07.000000,0.10.1.2,46.0,pyclustering,conda-forge/pyclustering,,,,221.0,185.0,https://pypi.org/project/pyclustering,2020-11-25 22:41:20.000000,36.0,12232.0,13336.0,https://anaconda.org/conda-forge/pyclustering,2021-01-25 21:14:55.053000,17598.0,,,,,2.0,302.0,,,,,,,,,,,,,,,,,,,,,,\n268,pythreejs,jupyter-widgets/pythreejs,,data-viz,https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,BSD-3-Clause,2013-12-23 17:02:11.000000,2021-03-02 13:32:39.505000,2021-02-26 14:01:59.000000,158,62.0,141.0,719,1659.0,A Jupyter - Three.js bridge.,27.0,26,True,2021-02-26 14:01:21.000000,2.3.0,43.0,pythreejs,conda-forge/pythreejs,,,['jupyter'],49.0,15.0,https://pypi.org/project/pythreejs,2021-02-26 14:01:21.000000,26.0,7128.0,28616.0,https://anaconda.org/conda-forge/pythreejs,2021-03-02 13:32:39.505000,284245.0,,,,,3.0,,,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,2021-02-26 13:59:06.062000,8.0,16671.0,,,,,,,,,,,,,,,\n269,TensorFlow Text,tensorflow/text,,nlp,https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000000,2021-03-30 15:46:36.000000,2021-03-30 15:36:08.000000,87,47.0,87.0,706,364.0,Making text a first-class citizen in TensorFlow.,36.0,26,True,2021-01-13 04:36:01.000000,2.4.3,32.0,tensorflow-text,,,,['tensorflow'],560.0,556.0,https://pypi.org/project/tensorflow-text,2021-01-13 04:24:47.000000,4.0,111672.0,111672.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n270,zarr,zarr-developers/zarr-python,,data-containers,https://github.com/zarr-developers/zarr-python,https://github.com/zarr-developers/zarr-python,MIT,2015-12-15 14:49:40.000000,2021-03-25 16:00:52.673000,2021-03-09 17:50:32.000000,110,184.0,232.0,665,1389.0,\"An implementation of chunked, compressed, N-dimensional arrays for Python.\",37.0,26,True,2020-12-02 18:33:13.000000,2.6.1,31.0,zarr,conda-forge/zarr,,,,684.0,612.0,https://pypi.org/project/zarr,2020-12-02 18:33:13.000000,72.0,35234.0,46427.0,https://anaconda.org/conda-forge/zarr,2021-03-25 16:00:52.673000,660414.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n271,pyahocorasick,WojciechMula/pyahocorasick,,nlp,https://github.com/WojciechMula/pyahocorasick,https://github.com/WojciechMula/pyahocorasick,BSD-3-Clause,2013-05-30 19:55:46.000000,2021-03-27 18:19:12.000000,2021-03-27 17:10:43.000000,88,33.0,68.0,597,412.0,Python module (C extension and plain python) implementing Aho-Corasick algorithm.,21.0,26,True,2021-03-27 18:19:12.000000,1.4.2,24.0,pyahocorasick,conda-forge/pyahocorasick,,,,641.0,537.0,https://pypi.org/project/pyahocorasick,2021-03-27 18:19:12.000000,104.0,79145.0,82052.0,https://anaconda.org/conda-forge/pyahocorasick,2020-10-13 12:20:05.350000,116281.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n272,SMAC3,automl/SMAC3,,hyperopt,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-3-Clause,2016-08-17 10:58:05.000000,2021-03-15 08:39:47.000000,2020-10-29 10:14:55.000000,159,77.0,251.0,565,1888.0,Sequential Model-based Algorithm Configuration.,30.0,26,True,2021-03-15 08:26:39.000000,0.13.1,29.0,smac,,,,,58.0,,https://pypi.org/project/smac,2020-10-29 10:57:56.000000,58.0,10376.0,10376.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n273,inflect,jaraco/inflect,,nlp,https://github.com/jaraco/inflect,https://github.com/jaraco/inflect,MIT,2010-06-20 13:43:13.000000,2021-03-26 19:47:09.000000,2021-03-23 00:21:53.000000,59,11.0,63.0,503,,\"Correctly generate plurals, ordinals, indefinite articles; convert numbers to words.\",29.0,26,True,2021-03-03 01:35:47.000000,5.3.0,33.0,inflect,conda-forge/inflect,,,,1388.0,,https://pypi.org/project/inflect,2021-03-03 01:35:47.000000,1388.0,571119.0,574077.0,https://anaconda.org/conda-forge/inflect,2021-03-03 03:46:48.932000,142017.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n274,TensorFlow I/O,tensorflow/io,,tensorflow-utils,https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05.000000,2021-04-01 15:11:57.000000,2021-04-01 01:55:26.000000,153,124.0,280.0,434,1387.0,\"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.\",73.0,26,True,2020-12-15 00:45:37.000000,0.17.0,21.0,tensorflow-io,,,,['tensorflow'],140.0,140.0,https://pypi.org/project/tensorflow-io,2020-12-15 00:42:35.000000,0.0,42685.0,42685.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n275,audioread,beetbox/audioread,,audio,https://github.com/beetbox/audioread,https://github.com/beetbox/audioread,MIT,2011-11-08 19:53:18.000000,2021-03-16 02:44:53.632000,2020-10-20 11:22:05.000000,83,31.0,44.0,360,232.0,cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python.,20.0,26,True,2020-10-20 11:23:09.000000,2.1.9,25.0,audioread,conda-forge/audioread,,,,5096.0,4510.0,https://pypi.org/project/audioread,2020-10-20 11:23:09.000000,586.0,193859.0,197618.0,https://anaconda.org/conda-forge/audioread,2021-03-16 02:44:53.632000,214291.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n276,CNTK,microsoft/CNTK,,ml-frameworks,https://github.com/microsoft/CNTK,https://github.com/microsoft/CNTK,MIT,2015-11-26 09:52:06.000000,2020-12-09 22:21:57.000000,2020-03-31 15:55:14.000000,4409,836.0,2519.0,16979,16116.0,\"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.\",266.0,25,False,2019-04-26 14:13:32.000000,2.7,32.0,cntk,,,,,34.0,,https://pypi.org/project/cntk,2020-12-09 22:21:57.000000,34.0,791.0,1007.0,,,,,,,,3.0,13645.0,,,,,,,,,,,,,,,,,,,,,,\n277,spleeter,deezer/spleeter,,audio,https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000000,2021-03-12 16:47:11.000000,2021-03-12 16:47:11.000000,1647,85.0,446.0,15967,458.0,Deezer source separation library including pretrained models.,17.0,25,True,2021-02-26 11:05:30.000000,2.2.0,31.0,spleeter,conda-forge/spleeter,,,['tensorflow'],0.0,,https://pypi.org/project/spleeter,2021-02-26 11:05:30.000000,0.0,3281.0,61089.0,https://anaconda.org/conda-forge/spleeter,2020-06-30 14:33:43.220000,47067.0,,,,,2.0,990736.0,,,,,,,,,,,,,,,,,,,,,,\n278,MMDetection,open-mmlab/mmdetection,,image,https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000000,2021-04-01 11:16:06.000000,2021-03-31 11:03:37.000000,4890,348.0,3211.0,14212,1488.0,OpenMMLab Detection Toolbox and Benchmark.,200.0,25,True,2021-03-02 07:35:43.000000,2.10.0,10.0,,,,,['pytorch'],32.0,32.0,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n279,InsightFace,deepinsight/insightface,,image,https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,MIT,2017-09-01 00:36:51.000000,2021-03-30 11:06:51.000000,2021-03-30 11:06:51.000000,3024,719.0,690.0,8843,1505.0,Face Analysis Project on MXNet and PyTorch.,17.0,25,True,2019-09-07 13:47:11.000000,0.1.5,6.0,insightface,,,,['mxnet'],59.0,57.0,https://pypi.org/project/insightface,2019-09-07 13:47:11.000000,2.0,825.0,825.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n280,Ludwig,ludwig-ai/ludwig,,ml-frameworks,https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000000,2021-04-01 04:59:58.000000,2021-04-01 02:38:02.000000,887,116.0,418.0,7629,2083.0,Ludwig is a toolbox that allows to train and evaluate deep learning models without the need to write code.,90.0,25,True,2021-02-01 00:23:30.000000,0.3.3,17.0,ludwig,,,,['tensorflow'],93.0,81.0,https://pypi.org/project/ludwig,2021-02-01 00:16:18.000000,12.0,843.0,843.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n281,ParlAI,facebookresearch/ParlAI,,nlp,https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44.000000,2021-04-01 12:21:58.000000,2021-03-31 19:12:19.000000,1455,90.0,872.0,7103,3690.0,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,145.0,25,True,2021-03-17 18:35:13.000000,1.1.1,14.0,parlai,,,,['pytorch'],16.0,16.0,https://pypi.org/project/parlai,2021-03-01 21:11:23.000000,0.0,779.0,779.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n282,PySyft,OpenMined/PySyft,,privacy-ml,https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,Apache-2.0,2017-07-18 20:41:16.000000,2021-04-01 11:31:12.000000,2021-04-01 09:53:47.000000,1571,224.0,2581.0,7011,7791.0,A library for answering questions using data you cannot see.,362.0,25,True,2020-11-12 19:57:58.000000,0.3.0,50.0,syft,,,,['pytorch'],6.0,,https://pypi.org/project/syft,2021-04-01 11:31:12.000000,6.0,909.0,909.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n283,Facets Overview,pair-code/facets,,data-viz,https://github.com/PAIR-code/facets,https://github.com/PAIR-code/facets,Apache-2.0,2017-07-07 14:03:03.000000,2021-02-04 17:22:42.000000,2021-02-04 17:22:41.000000,834,76.0,75.0,6535,262.0,Visualizations for machine learning datasets.,28.0,25,True,2019-07-24 15:57:06.000000,1.0.0,4.0,facets-overview,,,,['jupyter'],47.0,41.0,https://pypi.org/project/facets-overview,2019-07-24 15:57:06.000000,6.0,19635.0,19635.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n284,PyText,facebookresearch/pytext,,nlp,https://github.com/facebookresearch/pytext,https://github.com/facebookresearch/pytext,BSD-3-Clause,2018-07-31 23:40:46.000000,2021-04-01 04:52:50.000000,2021-04-01 04:52:45.000000,787,131.0,74.0,6156,1509.0,A natural language modeling framework based on PyTorch.,177.0,25,True,2020-06-08 23:30:58.000000,0.3.3,13.0,pytext-nlp,,,,['pytorch'],70.0,69.0,https://pypi.org/project/pytext-nlp,2020-06-08 22:49:33.000000,1.0,640.0,647.0,,,,,,,,2.0,223.0,,,,,,,,,,,,,,,,,,,,,,\n285,backtrader,mementum/backtrader,,financial-data,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52.000000,2021-03-27 05:19:51.000000,2021-02-11 20:51:09.000000,1921,22.0,,6098,2383.0,Python Backtesting library for trading strategies.,51.0,25,False,,,155.0,backtrader,,,,,574.0,504.0,https://pypi.org/project/backtrader,2020-07-03 13:02:14.000000,70.0,7900.0,7900.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n286,Trax,google/trax,,others,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000000,2021-04-01 13:53:33.000000,2021-03-31 23:20:26.000000,564,65.0,108.0,5984,1429.0,Trax Deep Learning with Clear Code and Speed.,63.0,25,True,2020-12-18 17:22:13.000000,1.3.7,20.0,trax,,,,,25.0,25.0,https://pypi.org/project/trax,2020-12-18 17:22:13.000000,,1800.0,1800.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n287,featuretools,alteryx/featuretools,,hyperopt,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17.000000,2021-03-31 23:43:45.000000,2021-03-31 23:22:11.000000,715,114.0,415.0,5489,,An open source python library for automated feature engineering.,49.0,25,True,2021-03-31 23:42:30.000000,0.23.3,70.0,featuretools,conda-forge/featuretools,,,,769.0,699.0,https://pypi.org/project/featuretools,2021-03-31 23:43:45.000000,70.0,46178.0,47923.0,https://anaconda.org/conda-forge/featuretools,2021-03-01 23:04:08.381000,48868.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n288,Milvus,milvus-io/milvus,,nn-search,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000000,2021-04-01 06:39:41.000000,2021-03-18 08:40:13.000000,832,218.0,2006.0,5386,5591.0,\"An open source embedding vector similarity search engine powered by Faiss, NMSLIB and Annoy.\",136.0,25,True,2021-03-10 10:20:14.000000,1.0.0,46.0,pymilvus,,milvusdb/milvus,,,6.0,,https://pypi.org/project/pymilvus,2021-03-08 12:52:06.000000,6.0,4278.0,19569.0,,,,https://hub.docker.com/r/milvusdb/milvus,2021-03-05 10:28:16.600534,10.0,290546.0,2.0,,,,,,,,,,,,,,,,,,,,,,,\n289,stanza,stanfordnlp/stanza,,nlp,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56.000000,2021-03-31 23:19:08.000000,2021-02-10 16:16:29.000000,678,51.0,431.0,5311,,Official Stanford NLP Python Library for Many Human Languages.,32.0,25,True,2021-01-29 20:05:25.000000,1.2.0,10.0,stanza,stanfordnlp/stanza,,,,387.0,383.0,https://pypi.org/project/stanza,2021-01-27 16:31:43.000000,4.0,10672.0,10934.0,https://anaconda.org/stanfordnlp/stanza,2021-01-27 22:24:06.992000,3409.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n290,PyTorch3D,facebookresearch/pytorch3d,,image,https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,MIT,2019-10-25 02:23:45.000000,2021-03-24 15:45:02.000000,2021-03-23 21:25:25.000000,527,61.0,468.0,4641,400.0,PyTorch3D is FAIR's library of reusable components for deep learning with 3D data.,54.0,25,True,2021-02-09 23:13:45.000000,0.4.0,7.0,pytorch3d,pytorch3d/pytorch3d,,,['pytorch'],63.0,63.0,https://pypi.org/project/pytorch3d,2021-02-09 23:13:45.000000,0.0,3430.0,3929.0,https://anaconda.org/pytorch3d/pytorch3d,2021-02-09 22:34:07.773000,8493.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n291,Lucid,tensorflow/lucid,,interpretability,https://github.com/tensorflow/lucid,https://github.com/tensorflow/lucid,Apache-2.0,2018-01-25 17:41:44.000000,2021-03-19 16:01:00.000000,2021-03-19 15:48:33.000000,592,65.0,96.0,4140,667.0,A collection of infrastructure and tools for research in neural network interpretability.,40.0,25,True,2021-03-19 16:01:00.000000,0.3.10,17.0,lucid,,,,['tensorflow'],546.0,540.0,https://pypi.org/project/lucid,2021-03-19 16:01:00.000000,6.0,574.0,574.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n292,pyAudioAnalysis,tyiannak/pyAudioAnalysis,,audio,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13.000000,2021-03-23 21:55:44.000000,2021-03-23 21:55:44.000000,963,165.0,106.0,3835,677.0,\"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.\",23.0,25,True,2020-09-29 21:30:02.000000,0.3.6,15.0,pyAudioAnalysis,,,,,214.0,192.0,https://pypi.org/project/pyAudioAnalysis,2020-09-29 21:30:02.000000,22.0,4470.0,4470.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n293,mlpack,mlpack/mlpack,,ml-frameworks,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59.000000,2021-04-01 05:21:03.000000,2021-03-31 23:17:00.000000,1340,154.0,1223.0,3610,26161.0,mlpack: a scalable C++ machine learning library --.,271.0,25,True,2020-10-28 18:28:47.000000,3.4.2,40.0,mlpack,conda-forge/mlpack,,,,0.0,,https://pypi.org/project/mlpack,2020-10-28 18:28:47.000000,0.0,281.0,2402.0,https://anaconda.org/conda-forge/mlpack,2020-10-29 09:35:18.918000,70017.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n294,espnet,espnet/espnet,,audio,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000000,2021-03-31 17:07:31.000000,2021-03-30 00:08:27.000000,1125,148.0,1115.0,3610,11116.0,End-to-End Speech Processing Toolkit.,144.0,25,True,2021-03-01 10:13:23.000000,.0.9.8,33.0,espnet,,,,,6.0,6.0,https://pypi.org/project/espnet,2021-01-15 08:52:23.000000,0.0,3806.0,3807.0,,,,,,,,2.0,60.0,,,,,,,,,,,,,,,,,,,,,,\n295,yellowbrick,DistrictDataLabs/yellowbrick,,interpretability,https://github.com/DistrictDataLabs/yellowbrick,https://github.com/DistrictDataLabs/yellowbrick,Apache-2.0,2016-05-18 14:12:17.000000,2021-03-13 20:29:03.000000,2021-03-10 23:39:00.000000,478,95.0,519.0,3142,848.0,Visual analysis and diagnostic tools to facilitate machine learning model selection.,97.0,25,True,2021-02-13 20:31:18.000000,1.3.post1,22.0,yellowbrick,,,,['sklearn'],62.0,,https://pypi.org/project/yellowbrick,2021-02-13 20:42:26.000000,62.0,48877.0,48877.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n296,pytorch-summary,sksq96/pytorch-summary,,pytorch-utils,https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04.000000,2021-03-11 12:50:20.000000,2020-08-07 01:16:40.000000,360,116.0,36.0,3015,56.0,Model summary in PyTorch similar to `model.summary()` in Keras.,11.0,25,True,2018-09-26 05:07:28.000000,1.5.1,12.0,torchsummary,,,,['pytorch'],2269.0,2151.0,https://pypi.org/project/torchsummary,2018-09-26 05:07:28.000000,118.0,21758.0,21758.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n297,TensorForce,tensorforce/tensorforce,,reinforcement-learning,https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22.000000,2021-03-27 12:03:06.000000,2021-03-27 12:03:10.000000,495,10.0,550.0,2901,2027.0,Tensorforce: a TensorFlow library for applied reinforcement learning.,76.0,25,True,2021-03-22 21:45:44.000000,0.6.3,12.0,tensorforce,,,,['tensorflow'],46.0,,https://pypi.org/project/tensorforce,2019-09-07 13:56:18.000000,46.0,493.0,493.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n298,Chartify,spotify/chartify,,data-viz,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05.000000,2021-03-20 11:20:12.000000,2021-02-05 18:49:02.000000,256,40.0,30.0,2868,195.0,Python library that makes it easy for data scientists to create charts.,21.0,25,True,2020-11-02 22:14:08.000000,3.0.3,16.0,chartify,conda-forge/chartify,,,,57.0,52.0,https://pypi.org/project/chartify,2020-11-02 22:14:08.000000,5.0,1554.0,2001.0,https://anaconda.org/conda-forge/chartify,2020-11-07 19:52:50.628000,12968.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n299,Hub,activeloopai/Hub,,data-pipelines,https://github.com/activeloopai/Hub,https://github.com/activeloopai/Hub,MPL-2.0,2019-08-09 06:17:59.000000,2021-04-01 14:25:50.000000,2021-04-01 12:00:57.000000,219,24.0,227.0,2818,2039.0,Fastest unstructured dataset management for TensorFlow/PyTorch. Stream data real-time & version-control it...,75.0,25,True,2021-03-26 11:15:28.000000,1.3.2,86.0,hub,,,,\"['tensorflow', 'pytorch']\",175.0,123.0,https://pypi.org/project/hub,2021-03-26 11:15:28.000000,52.0,422.0,422.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n300,Neural Network Libraries,sony/nnabla,,ml-frameworks,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10.000000,2021-03-31 01:40:09.000000,2021-03-29 04:34:46.000000,299,34.0,27.0,2433,2540.0,Neural Network Libraries.,58.0,25,True,2021-03-19 11:10:09.000000,1.18.0,53.0,nnabla,,,,,34.0,,https://pypi.org/project/nnabla,2021-03-13 01:29:58.000000,34.0,1610.0,1621.0,,,,,,,,3.0,523.0,,,,,,,,,,,,,,,,,,,,,,\n301,Captum,pytorch/captum,,interpretability,https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000000,2021-04-01 13:17:27.000000,2021-03-25 17:22:36.000000,225,49.0,164.0,2240,800.0,Model interpretability and understanding for PyTorch.,70.0,25,True,2021-01-23 18:11:12.000000,0.3.1,5.0,captum,,,,['pytorch'],142.0,142.0,https://pypi.org/project/captum,2021-01-22 20:55:47.000000,0.0,5556.0,5556.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n302,aubio,aubio/aubio,,audio,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44.000000,2021-01-19 16:59:52.641000,2021-01-19 09:51:49.000000,306,114.0,174.0,2073,4111.0,a library for audio and music analysis.,24.0,25,False,2019-02-27 09:00:43.000000,0.4.9,10.0,aubio,conda-forge/aubio,,,,250.0,214.0,https://pypi.org/project/aubio,2019-02-08 11:21:02.000000,36.0,1240.0,9491.0,https://anaconda.org/conda-forge/aubio,2021-01-19 16:59:52.641000,404321.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n303,scikit-plot,reiinakano/scikit-plot,,interpretability,https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59.000000,2021-02-26 14:37:45.000000,2018-08-19 12:37:47.000000,247,21.0,39.0,2054,130.0,An intuitive library to add plotting functionality to scikit-learn objects.,13.0,25,False,2018-08-19 12:21:01.000000,0.3.7,27.0,scikit-plot,conda-forge/scikit-plot,,,['sklearn'],884.0,830.0,https://pypi.org/project/scikit-plot,2018-08-19 12:18:46.000000,54.0,42730.0,44619.0,https://anaconda.org/conda-forge/scikit-plot,2019-06-05 14:23:59.043000,85041.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n304,spark-nlp,JohnSnowLabs/spark-nlp,,nlp,https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000000,2021-04-01 09:35:51.000000,2021-03-31 18:06:46.000000,427,97.0,371.0,2028,7664.0,State of the Art Natural Language Processing.,83.0,25,True,2021-03-22 15:44:07.000000,3.0.0,80.0,spark-nlp,,,,['spark'],0.0,,https://pypi.org/project/spark-nlp,2021-03-18 21:24:50.000000,0.0,238008.0,238008.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n305,facenet-pytorch,timesler/facenet-pytorch,,image,https://github.com/timesler/facenet-pytorch,https://github.com/timesler/facenet-pytorch,MIT,2019-05-25 01:29:24.000000,2021-04-01 03:10:16.000000,2021-04-01 03:10:16.000000,417,33.0,86.0,1959,231.0,Pretrained Pytorch face detection (MTCNN) and recognition (InceptionResnet) models.,12.0,25,True,2021-03-10 01:00:20.000000,2.5.2,31.0,facenet-pytorch,,,,['pytorch'],321.0,315.0,https://pypi.org/project/facenet-pytorch,2021-03-10 01:00:20.000000,6.0,2542.0,6870.0,,,,,,,,2.0,73592.0,,,,,,,,,,,,,,,,,,,,,,\n306,TextDistance,life4/textdistance,,nlp,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10.000000,2021-01-29 15:41:57.288000,2021-01-29 09:03:55.000000,165,9.0,,1939,304.0,\"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..\",9.0,25,True,2021-01-29 09:04:46.000000,.4.2.1,21.0,textdistance,conda-forge/textdistance,,,,465.0,437.0,https://pypi.org/project/textdistance,2021-01-29 09:03:27.000000,28.0,68551.0,69415.0,https://anaconda.org/conda-forge/textdistance,2021-01-29 15:41:57.288000,30176.0,,,,,2.0,104.0,,,,,,,,,,,,,,,,,,,,,,\n307,StellarGraph,stellargraph/stellargraph,,graph,https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51.000000,2021-03-30 23:19:09.000000,2021-02-18 01:03:15.000000,260,224.0,709.0,1825,2515.0,StellarGraph - Machine Learning on Graphs.,32.0,25,True,2020-06-30 05:15:21.000000,1.2.1,25.0,stellargraph,,,,['tensorflow'],56.0,52.0,https://pypi.org/project/stellargraph,2020-06-30 05:10:43.000000,4.0,1834.0,1834.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n308,pytorch-optimizer,jettify/pytorch-optimizer,,pytorch-utils,https://github.com/jettify/pytorch-optimizer,https://github.com/jettify/pytorch-optimizer,Apache-2.0,2020-01-03 03:16:39.000000,2021-04-01 13:16:36.000000,2021-03-31 10:28:39.000000,168,10.0,25.0,1782,370.0,torch-optimizer -- collection of optimizers for Pytorch.,19.0,25,True,2021-01-01 16:51:15.000000,0.1.0,19.0,torch_optimizer,,,,['pytorch'],155.0,155.0,https://pypi.org/project/torch_optimizer,2021-01-01 16:51:15.000000,0.0,8748.0,8748.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n309,pgmpy,pgmpy/pgmpy,,probabilistics,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000000,2021-03-31 08:03:51.000000,2021-03-31 07:41:55.000000,567,232.0,499.0,1753,6.0,Python Library for learning (Structure and Parameter) and inference (Statistical and Causal) in Bayesian Networks.,91.0,25,True,2021-03-31 09:08:49.000000,0.1.14,13.0,pgmpy,,,,,213.0,201.0,https://pypi.org/project/pgmpy,2021-03-31 07:30:01.000000,12.0,10420.0,10425.0,,,,,,,,3.0,57.0,,,,,,,,,,,,,,,,,,,,,,\n310,TorchServe,pytorch/serve,,model-serialisation,https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000000,2021-04-01 04:28:49.000000,2021-03-22 16:40:38.000000,257,160.0,420.0,1668,1170.0,Model Serving on PyTorch.,64.0,25,True,2021-03-15 22:31:02.000000,0.3.1,7.0,torchserve,pytorch/torchserve,pytorch/torchserve,,['pytorch'],34.0,34.0,https://pypi.org/project/torchserve,2021-03-15 21:14:14.000000,0.0,1558.0,5287.0,https://anaconda.org/pytorch/torchserve,2021-03-18 18:37:54.539000,7480.0,https://hub.docker.com/r/pytorch/torchserve,2020-12-18 18:32:51.570336,3.0,55605.0,2.0,205.0,,,,,,,,,,,,,,,,,,,,,,\n311,haystack,deepset-ai/haystack,,nlp,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000000,2021-04-01 15:20:23.000000,2021-03-29 07:53:26.000000,297,80.0,449.0,1555,576.0,End-to-end Python framework for building natural language search interfaces to data. Leverages Transformers and the..,42.0,25,True,2021-01-21 17:42:17.000000,0.7.0,34.0,haystack,,,,,208.0,42.0,https://pypi.org/project/haystack,2017-07-03 04:44:52.000000,166.0,379.0,379.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n312,Pythran,serge-sans-paille/pythran,,others,https://github.com/serge-sans-paille/pythran,https://github.com/serge-sans-paille/pythran,BSD-3-Clause,2012-05-29 08:02:14.000000,2021-03-31 20:34:12.000000,2021-03-31 17:20:24.000000,139,106.0,556.0,1522,3341.0,Ahead of Time compiler for numeric kernels.,49.0,25,True,2021-03-31 17:17:15.000000,0.9.9,46.0,pythran,conda-forge/pythran,,,,77.0,51.0,https://pypi.org/project/pythran,2021-03-31 17:17:15.000000,26.0,2968.0,6967.0,https://anaconda.org/conda-forge/pythran,2021-01-27 16:08:46.611000,139966.0,,,,,2.0,,,,,,,,,,,,,,,pythran,python-pythran,,,,,,,\n313,Elephas,maxpumperla/elephas,,distributed-ml,https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19.000000,2021-03-28 19:24:06.000000,2021-03-28 19:24:06.000000,288,22.0,121.0,1457,476.0,Distributed Deep learning with Keras & Spark.,27.0,25,True,2021-03-09 00:59:04.000000,1.4.3,19.0,elephas,,,,\"['keras', 'spark']\",40.0,37.0,https://pypi.org/project/elephas,2021-03-09 00:59:04.000000,3.0,10100.0,10100.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n314,Ax,facebook/Ax,,hyperopt,https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000000,2021-04-01 13:42:02.000000,2021-04-01 13:41:58.000000,147,42.0,201.0,1456,1034.0,Adaptive Experimentation Platform.,96.0,25,True,2021-02-24 16:59:13.000000,0.1.20,21.0,ax-platform,,,,['pytorch'],151.0,147.0,https://pypi.org/project/ax-platform,2021-02-24 16:59:13.000000,4.0,16848.0,16848.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n315,chainercv,chainer/chainercv,,image,https://github.com/chainer/chainercv,https://github.com/chainer/chainercv,MIT,2017-02-13 04:15:10.000000,2020-02-03 01:27:17.000000,2020-01-07 11:48:31.000000,318,54.0,168.0,1437,4930.0,ChainerCV: a Library for Deep Learning in Computer Vision.,39.0,25,False,2019-06-12 11:55:02.000000,0.13.1,24.0,chainercv,,,,,290.0,230.0,https://pypi.org/project/chainercv,2019-06-12 11:55:40.000000,60.0,1447.0,1447.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n316,TFX,tensorflow/tfx,,data-pipelines,https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000000,2021-04-01 03:33:26.000000,2021-04-01 03:33:19.000000,421,238.0,338.0,1373,3278.0,TFX is an end-to-end platform for deploying production ML pipelines.,107.0,25,True,2021-03-23 22:26:58.000000,0.26.3,45.0,tfx,,,,['tensorflow'],4.0,,https://pypi.org/project/tfx,2021-04-01 02:35:31.000000,4.0,42799.0,42799.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n317,Fairness 360,Trusted-AI/AIF360,,interpretability,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15.000000,2021-03-10 20:05:40.000000,2021-03-10 20:05:40.000000,420,39.0,50.0,1328,318.0,\"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..\",43.0,25,True,2021-03-04 18:11:34.000000,0.4.0,9.0,aif360,,,,,78.0,74.0,https://pypi.org/project/aif360,2021-03-04 18:11:34.000000,4.0,2750.0,2750.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n318,petastorm,uber/petastorm,,distributed-ml,https://github.com/uber/petastorm,https://github.com/uber/petastorm,Apache-2.0,2018-06-15 23:15:29.000000,2021-03-20 00:47:45.000000,2021-03-20 00:47:45.000000,187,124.0,116.0,1122,620.0,Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets..,38.0,25,True,2020-12-15 18:37:49.000000,0.9.8,64.0,petastorm,,,,,29.0,29.0,https://pypi.org/project/petastorm,2020-12-15 18:37:49.000000,0.0,35311.0,35319.0,,,,,,,,2.0,288.0,,,,,,,,,,,,,,,,,,,,,,\n319,PyCUDA,inducer/pycuda,,gpu-utilities,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000000,2021-03-31 20:15:56.000000,2021-03-31 20:15:36.000000,221,44.0,132.0,1117,,\"CUDA integration for Python, plus shiny features.\",70.0,25,True,2019-08-12 04:15:37.000000,2019.1.2,46.0,pycuda,,,,,1073.0,781.0,https://pypi.org/project/pycuda,2020-10-07 21:59:52.000000,292.0,9061.0,9061.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n320,TabPy,tableau/TabPy,,others,https://github.com/tableau/TabPy,https://github.com/tableau/TabPy,MIT,2016-09-27 21:26:03.000000,2021-02-04 23:28:56.000000,2021-02-04 23:28:56.000000,387,10.0,263.0,1046,828.0,Execute Python code on the fly and display results in Tableau visualizations:.,40.0,25,True,2020-11-11 19:06:41.000000,2.3.1,24.0,tabpy,,,,,51.0,51.0,https://pypi.org/project/tabpy,2020-11-11 19:06:41.000000,0.0,12751.0,12751.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n321,TF Model Optimization,tensorflow/model-optimization,,tensorflow-utils,https://github.com/tensorflow/model-optimization,https://github.com/tensorflow/model-optimization,Apache-2.0,2018-10-31 20:34:28.000000,2021-03-31 23:57:55.000000,2021-03-29 08:30:21.000000,224,77.0,95.0,1008,494.0,\"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.\",45.0,25,True,2020-09-14 04:46:03.000000,0.5.0,20.0,tensorflow-model-optimization,,,,['tensorflow'],691.0,685.0,https://pypi.org/project/tensorflow-model-optimization,2020-09-14 04:36:08.000000,6.0,41228.0,41228.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n322,ArcGIS API,Esri/arcgis-python-api,,geospatial-data,https://github.com/Esri/arcgis-python-api,https://github.com/Esri/arcgis-python-api,Apache-2.0,2016-03-16 01:09:14.000000,2021-03-30 17:06:04.000000,2021-03-30 01:53:21.000000,725,115.0,219.0,989,3052.0,Documentation and samples for ArcGIS API for Python.,61.0,25,True,2021-03-30 17:06:04.000000,1.8.5,27.0,arcgis,,esridocker/arcgis-api-python-notebook,,,20.0,,https://pypi.org/project/arcgis,2021-01-27 23:04:37.000000,20.0,11758.0,11826.0,,,,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,2020-03-06 00:53:45.164342,32.0,4204.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n323,arviz,arviz-devs/arviz,,interpretability,https://github.com/arviz-devs/arviz,https://github.com/arviz-devs/arviz,Apache-2.0,2015-07-29 11:51:10.000000,2021-04-01 11:50:00.000000,2021-03-30 16:12:19.000000,194,124.0,459.0,971,,Exploratory analysis of Bayesian models with Python.,77.0,25,True,2021-02-21 19:39:56.000000,0.11.2,23.0,arviz,conda-forge/arviz,,,,823.0,787.0,https://pypi.org/project/arviz,2021-02-21 19:39:56.000000,36.0,86148.0,96340.0,https://anaconda.org/conda-forge/arviz,2021-02-21 21:30:03.812000,234356.0,,,,,2.0,98.0,,,,,,,,,,,,,,,,,,,,,,\n324,bcolz,Blosc/bcolz,,data-containers,https://github.com/Blosc/bcolz,https://github.com/Blosc/bcolz,BSD-3-Clause,2010-08-18 15:27:02.000000,2020-09-10 12:12:51.000000,2020-09-10 12:12:45.000000,116,126.0,122.0,913,1280.0,A columnar data container that can be compressed.,33.0,25,True,2018-04-13 07:44:26.000000,1.2.1,23.0,bcolz,conda-forge/bcolz,,,,2505.0,1537.0,https://pypi.org/project/bcolz,2018-04-13 07:44:26.000000,968.0,10301.0,14925.0,https://anaconda.org/conda-forge/bcolz,2019-11-05 21:09:48.045000,231223.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n325,PySAL,pysal/pysal,,geospatial-data,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42.000000,2021-02-08 21:30:44.240000,2021-02-01 00:35:48.000000,242,58.0,583.0,836,4119.0,PySAL: Python Spatial Analysis Library Meta-Package.,71.0,25,True,2021-02-02 02:59:42.000000,2.4.0,25.0,pysal,conda-forge/pysal,,,,36.0,,https://pypi.org/project/pysal,2021-02-02 02:59:42.000000,36.0,6068.0,13179.0,https://anaconda.org/conda-forge/pysal,2021-02-08 21:30:44.240000,405381.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n326,kmodes,nicodv/kmodes,,others,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40.000000,2021-03-07 06:05:41.000000,2021-03-07 06:05:39.000000,341,18.0,111.0,828,462.0,\"Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data.\",17.0,25,True,2021-02-13 03:34:23.000000,0.11.0,13.0,kmodes,,,,,510.0,484.0,https://pypi.org/project/kmodes,2021-02-13 03:26:34.000000,26.0,38968.0,38968.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n327,Satpy,pytroll/satpy,,geospatial-data,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000000,2021-03-30 18:24:12.000000,2021-03-30 18:24:12.000000,196,312.0,317.0,688,8576.0,Python package for earth-observing satellite data processing.,106.0,25,False,2021-03-26 08:31:14.000000,0.27.0,65.0,satpy,conda-forge/satpy,,,,47.0,41.0,https://pypi.org/project/satpy,2021-03-26 08:31:14.000000,6.0,266.0,2014.0,https://anaconda.org/conda-forge/satpy,2021-03-26 11:35:33.340000,57684.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n328,CLTK,cltk/cltk,,nlp,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000000,2021-03-30 16:33:47.000000,2021-03-30 16:33:47.000000,300,128.0,361.0,654,3564.0,The Classical Language Toolkit.,110.0,25,True,2021-03-30 16:18:12.000000,1.0.10,180.0,cltk,,,,,229.0,161.0,https://pypi.org/project/cltk,2021-03-30 16:18:12.000000,68.0,1002.0,1002.0,,,,,,,,2.0,22.0,,,,,,,,,,,,,,,,,,,,,,\n329,tensorflow-upstream,ROCmSoftwarePlatform/tensorflow-upstream,,ml-frameworks,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,Apache-2.0,2018-04-09 21:24:50.000000,2021-04-01 12:30:57.000000,2021-03-30 14:27:49.000000,66,55.0,240.0,549,79524.0,TensorFlow ROCm port.,3602.0,25,True,2021-03-29 03:10:02.000000,2.4.1,61.0,tensorflow-rocm,,,,['tensorflow'],,,https://pypi.org/project/tensorflow-rocm,2021-03-29 03:10:02.000000,,1630.0,1630.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,,,,,\n330,Intake,intake/intake,,data-loading,https://github.com/intake/intake,https://github.com/intake/intake,BSD-2-Clause,2017-08-14 20:44:22.000000,2021-03-17 15:52:53.000000,2021-03-17 15:52:53.000000,98,77.0,194.0,547,1666.0,\"Intake is a lightweight package for finding, investigating, loading and disseminating data.\",58.0,25,True,2021-03-16 19:53:00.000000,0.6.2,21.0,intake,conda-forge/intake,,,,318.0,244.0,https://pypi.org/project/intake,2021-03-16 19:53:00.000000,74.0,2786.0,5155.0,https://anaconda.org/conda-forge/intake,2021-03-16 21:22:12.681000,68722.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n331,mpi4py,mpi4py/mpi4py,,distributed-ml,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-3-Clause,2013-09-05 14:44:25.000000,2021-04-01 09:34:27.000000,2021-03-31 12:46:41.000000,64,8.0,12.0,390,2246.0,Python bindings for MPI.,16.0,25,True,2020-07-27 06:40:19.000000,3.0.3,13.0,mpi4py,conda-forge/mpi4py,,,,752.0,,https://pypi.org/project/mpi4py,2019-11-04 13:05:10.000000,752.0,69502.0,80227.0,https://anaconda.org/conda-forge/mpi4py,2021-01-19 17:48:43.682000,584570.0,,,,,2.0,880.0,,,,,,,,,,,,,,,,,,,,,,\n332,PyNNDescent,lmcinnes/pynndescent,,nn-search,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000000,2021-03-12 04:15:55.000000,2021-03-12 04:15:47.000000,49,28.0,34.0,382,488.0,A Python nearest neighbor descent for approximate nearest neighbors.,13.0,25,True,2021-02-08 20:03:04.000000,0.5.2,21.0,pynndescent,conda-forge/pynndescent,,,,342.0,336.0,https://pypi.org/project/pynndescent,2021-02-08 20:03:04.000000,6.0,74530.0,78658.0,https://anaconda.org/conda-forge/pynndescent,2021-02-09 04:30:06.804000,90831.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n333,hvPlot,holoviz/hvplot,,data-viz,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000000,2021-03-26 18:18:41.000000,2021-03-26 18:18:40.000000,50,119.0,227.0,374,372.0,\"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.\",24.0,25,True,2021-03-04 17:35:32.000000,0.7.1,13.0,hvplot,conda-forge/hvplot,,,,545.0,515.0,https://pypi.org/project/hvplot,2021-03-03 21:16:38.000000,30.0,7879.0,10247.0,https://anaconda.org/conda-forge/hvplot,2021-03-04 01:00:43.938000,75786.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n334,tabulator-py,frictionlessdata/tabulator-py,,data-loading,https://github.com/frictionlessdata/tabulator-py,https://github.com/frictionlessdata/tabulator-py,MIT,2015-08-24 05:34:38.000000,2021-03-22 13:33:49.000000,2021-03-22 13:33:48.000000,42,,177.0,204,657.0,Python library for reading and writing tabular data via streams.,25.0,25,True,2021-03-21 07:47:00.000000,1.53.5,141.0,tabulator,conda-forge/tabulator-py,,,,606.0,502.0,https://pypi.org/project/tabulator,2021-03-21 07:47:00.000000,104.0,56985.0,57850.0,https://anaconda.org/conda-forge/tabulator-py,2018-07-24 12:57:07.018000,39826.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n335,PaddleOCR,PaddlePaddle/PaddleOCR,,ocr,https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000000,2021-04-01 13:13:45.000000,2021-03-31 03:11:56.000000,2273,631.0,1001.0,11463,,\"Awesome multilingual OCR toolkits based on PaddlePaddle practical ultra lightweight OCR system, provide data..\",50.0,24,True,2021-03-17 08:49:48.000000,2.0.3,11.0,paddleocr,,,,['paddle'],67.0,67.0,https://pypi.org/project/paddleocr,2021-03-17 08:49:48.000000,0.0,776.0,776.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n336,pysc2,deepmind/pysc2,,others,https://github.com/deepmind/pysc2,https://github.com/deepmind/pysc2,Apache-2.0,2017-07-25 18:16:57.000000,2020-07-29 16:22:31.000000,2019-09-27 15:23:22.000000,1103,57.0,203.0,7224,513.0,StarCraft II Learning Environment.,34.0,24,False,2019-09-27 15:48:01.000000,3.0.0,7.0,pysc2,,,,,268.0,228.0,https://pypi.org/project/pysc2,2019-09-27 15:48:01.000000,40.0,384.0,978.0,,,,,,,,2.0,26149.0,,,,,,,,,,,,,,,,,,,,,,\n337,NuPIC,numenta/nupic,,ml-frameworks,https://github.com/numenta/nupic,https://github.com/numenta/nupic,AGPL-3.0,2013-04-05 23:14:27.000000,2021-03-25 21:39:47.000000,2019-10-23 20:45:07.000000,1585,456.0,1337.0,6219,6625.0,\"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..\",121.0,24,False,2018-06-01 15:37:54.000000,1.0.5,53.0,nupic,,,,,133.0,95.0,https://pypi.org/project/nupic,2018-06-01 15:37:54.000000,38.0,1028.0,1028.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n338,Vaex,vaexio/vaex,,data-containers,https://github.com/vaexio/vaex,https://github.com/vaexio/vaex,MIT,2014-09-27 09:44:42.000000,2021-04-01 14:33:21.000000,2021-04-01 09:39:33.000000,461,319.0,432.0,5988,3000.0,\"Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualize and explore big tabular data at a billion..\",40.0,24,True,2021-03-18 09:19:49.000000,4.1.0,51.0,vaex,conda-forge/vaex,,,,4.0,,https://pypi.org/project/vaex,2021-03-18 09:19:49.000000,4.0,3403.0,5261.0,https://anaconda.org/conda-forge/vaex,2021-03-09 14:33:41.948000,100274.0,,,,,3.0,199.0,,,,,,,,,,,,,,,,,,,,,,\n339,EfficientNet-PyTorch,lukemelas/EfficientNet-PyTorch,,pytorch-utils,https://github.com/lukemelas/EfficientNet-PyTorch,https://github.com/lukemelas/EfficientNet-PyTorch,Apache-2.0,2019-05-30 05:24:11.000000,2021-02-09 15:32:57.000000,2020-10-09 16:24:04.000000,1105,115.0,117.0,5654,141.0,A PyTorch implementation of EfficientNet.,21.0,24,True,2020-08-26 03:00:05.000000,0.7.0,12.0,efficientnet-pytorch,,,,['pytorch'],14.0,,https://pypi.org/project/efficientnet-pytorch,2020-08-26 03:00:05.000000,14.0,19601.0,50508.0,,,,,,,,2.0,401801.0,,,,,,,,,,,,,,,,,,,,,,\n340,keras-rl,keras-rl/keras-rl,,reinforcement-learning,https://github.com/keras-rl/keras-rl,https://github.com/keras-rl/keras-rl,MIT,2016-07-02 15:53:12.000000,2020-11-20 07:32:13.000000,2019-11-11 22:14:54.000000,1284,39.0,211.0,4992,308.0,Deep Reinforcement Learning for Keras.,40.0,24,False,2018-06-01 07:52:24.000000,0.4.2,8.0,keras-rl,,,,['tensorflow'],574.0,472.0,https://pypi.org/project/keras-rl,2018-06-01 07:52:24.000000,102.0,890.0,890.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n341,Face Alignment,1adrianb/face-alignment,,image,https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44.000000,2021-03-03 00:56:24.000000,2021-03-03 00:56:24.000000,1037,36.0,195.0,4806,198.0,2D and 3D Face alignment library build using pytorch.,22.0,24,True,2020-12-22 21:34:55.000000,1.3.3,9.0,face-alignment,,,,['pytorch'],12.0,,https://pypi.org/project/face-alignment,2020-12-22 21:34:55.000000,12.0,3904.0,3904.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n342,Edward,blei-lab/edward,,probabilistics,https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05.000000,2019-10-22 20:30:48.000000,2018-07-25 01:28:08.000000,767,212.0,327.0,4613,1796.0,\"A probabilistic programming language in TensorFlow. Deep generative models, variational inference.\",87.0,24,False,2018-01-22 06:03:37.000000,1.3.5,28.0,edward,,,,['tensorflow'],293.0,215.0,https://pypi.org/project/edward,2018-01-22 06:03:05.000000,78.0,425.0,425.0,,,,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,,,,,\n343,DeepSpeed,microsoft/DeepSpeed,,distributed-ml,https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,MIT,2020-01-23 18:35:18.000000,2021-04-01 12:39:34.000000,2021-03-31 00:34:44.000000,437,192.0,217.0,4583,485.0,\"DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.\",48.0,24,True,2021-03-16 22:28:45.000000,0.3.13,21.0,deepspeed,,deepspeed/deepspeed,,['pytorch'],18.0,18.0,https://pypi.org/project/deepspeed,2021-03-16 22:23:47.000000,,3005.0,3511.0,,,,https://hub.docker.com/r/deepspeed/deepspeed,2021-02-20 21:35:37.092937,2.0,7593.0,2.0,,,,,,,,,,,,,,,,,,,,,,,\n344,Augmentor,mdbloice/Augmentor,,image,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55.000000,2020-11-10 05:20:01.000000,2020-03-09 11:32:02.000000,805,118.0,67.0,4363,511.0,Image augmentation library in Python for machine learning.,22.0,24,False,2020-01-17 11:59:53.000000,0.2.8,20.0,Augmentor,,,,,329.0,287.0,https://pypi.org/project/Augmentor,2020-01-17 11:59:53.000000,42.0,2909.0,2909.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n345,Great Expectations,great-expectations/great_expectations,,data-pipelines,https://github.com/great-expectations/great_expectations,https://github.com/great-expectations/great_expectations,Apache-2.0,2017-09-11 00:18:46.000000,2021-04-01 14:34:39.000000,2021-03-31 23:55:57.000000,509,200.0,632.0,4090,,Always know what to expect from your data.,175.0,24,True,2021-03-26 15:01:25.000000,0.13.15,106.0,great_expectations,,,,,6.0,,https://pypi.org/project/great_expectations,2021-03-26 14:42:47.000000,6.0,206396.0,206396.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n346,VisualDL,PaddlePaddle/VisualDL,,ml-experiments,https://github.com/PaddlePaddle/VisualDL,https://github.com/PaddlePaddle/VisualDL,Apache-2.0,2017-12-20 12:34:31.000000,2021-03-24 12:08:15.000000,2021-03-24 11:43:13.000000,535,28.0,318.0,3890,,Deep Learning Visualization Toolkit.,29.0,24,True,2021-02-01 09:03:52.000000,2.1.1,31.0,visualdl,,,,['paddle'],233.0,223.0,https://pypi.org/project/visualdl,2021-01-29 09:44:14.000000,10.0,2986.0,2996.0,,,,,,,,3.0,102.0,,,,,,,,,,,,,,,,,,,,,,\n347,sktime,alan-turing-institute/sktime,,time-series-data,https://github.com/alan-turing-institute/sktime,https://github.com/alan-turing-institute/sktime,BSD-3-Clause,2018-11-06 15:08:24.000000,2021-04-01 14:05:12.000000,2021-04-01 12:25:10.000000,490,114.0,279.0,3774,,A unified framework for machine learning with time series.,80.0,24,True,2021-02-06 11:40:49.000000,0.5.3,13.0,sktime,,,,['sklearn'],130.0,130.0,https://pypi.org/project/sktime,2021-02-06 11:40:49.000000,0.0,9468.0,9470.0,,,,,,,,2.0,57.0,,-3.0,,,,,,,,,,,,,,,,,,,,\n348,BigDL,intel-analytics/BigDL,,distributed-ml,https://github.com/intel-analytics/BigDL,https://github.com/intel-analytics/BigDL,Apache-2.0,2016-08-29 07:59:50.000000,2021-03-31 06:27:27.000000,2021-03-25 06:24:08.000000,903,183.0,727.0,3710,2661.0,BigDL: Distributed Deep Learning Framework for Apache Spark.,71.0,24,True,2021-01-05 05:55:32.000000,0.12.1,37.0,bigdl,,,,,30.0,24.0,https://pypi.org/project/bigdl,2020-12-29 06:08:45.000000,6.0,703.0,703.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,com.intel.analytics.bigdl:bigdl-SPARK_2.4,https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4,2020-12-05 03:54:47.000000,0.0,,,\n349,TensorFlowOnSpark,yahoo/TensorFlowOnSpark,,distributed-ml,https://github.com/yahoo/TensorFlowOnSpark,https://github.com/yahoo/TensorFlowOnSpark,Apache-2.0,2017-01-20 18:15:57.000000,2021-03-29 16:39:50.000000,2021-03-29 16:39:47.000000,940,11.0,336.0,3649,616.0,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,33.0,24,True,2021-03-23 16:46:56.000000,2.2.3,30.0,tensorflowonspark,,,,\"['tensorflow', 'spark']\",5.0,,https://pypi.org/project/tensorflowonspark,2021-03-19 17:34:37.000000,5.0,41267.0,41267.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n350,T5,google-research/text-to-text-transfer-transformer,,nlp,https://github.com/google-research/text-to-text-transfer-transformer,https://github.com/google-research/text-to-text-transfer-transformer,Apache-2.0,2019-10-17 21:45:14.000000,2021-03-31 15:00:58.000000,2021-03-30 17:20:48.000000,446,44.0,312.0,3298,470.0,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,35.0,24,True,2021-03-03 15:19:14.000000,0.9.0,26.0,t5,,,,['tensorflow'],28.0,28.0,https://pypi.org/project/t5,2021-03-03 15:19:14.000000,0.0,4770.0,4770.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n351,Stable Baselines,hill-a/stable-baselines,,reinforcement-learning,https://github.com/hill-a/stable-baselines,https://github.com/hill-a/stable-baselines,MIT,2018-07-02 14:28:59.000000,2021-03-19 11:42:02.000000,2020-12-23 16:27:08.000000,601,133.0,744.0,3043,835.0,\"A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.\",110.0,24,True,2020-08-05 19:45:11.000000,2.10.1,30.0,stable-baselines,,,,,50.0,,https://pypi.org/project/stable-baselines,2020-08-05 19:42:14.000000,50.0,4870.0,4870.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n352,PML,KevinMusgrave/pytorch-metric-learning,,pytorch-utils,https://github.com/KevinMusgrave/pytorch-metric-learning,https://github.com/KevinMusgrave/pytorch-metric-learning,MIT,2019-10-23 17:20:35.000000,2021-03-23 15:04:03.000000,2021-03-19 05:54:57.000000,388,37.0,189.0,2925,636.0,\"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.\",14.0,24,True,2021-03-04 00:46:21.000000,0.9.97,150.0,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,,['pytorch'],63.0,63.0,https://pypi.org/project/pytorch-metric-learning,2021-03-23 15:04:03.000000,0.0,3268.0,3379.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2021-03-04 02:42:20.027000,1669.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n353,xLearn,aksnzhy/xlearn,,ml-frameworks,https://github.com/aksnzhy/xlearn,https://github.com/aksnzhy/xlearn,Apache-2.0,2017-06-10 08:09:31.000000,2021-01-28 14:17:44.000000,2020-03-03 10:12:35.000000,493,180.0,107.0,2863,1340.0,\"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..\",30.0,24,False,2019-04-25 02:10:05.000000,0.4.4,15.0,xlearn,,,,,44.0,43.0,https://pypi.org/project/xlearn,2018-12-04 11:05:06.000000,1.0,1511.0,1576.0,,,,,,,,3.0,2424.0,,,,,,,,,,,,,,,,,,,,,,\n354,Sumy,miso-belica/sumy,,nlp,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48.000000,2020-11-21 17:08:35.000000,2020-11-21 17:08:33.000000,446,12.0,78.0,2549,397.0,Module for automatic summarization of text documents and HTML pages.,20.0,24,True,2019-05-19 14:39:21.000000,0.8.1,13.0,sumy,,,,,908.0,716.0,https://pypi.org/project/sumy,2019-05-19 14:38:29.000000,192.0,4338.0,4338.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n355,Arctic,man-group/arctic,,data-containers,https://github.com/man-group/arctic,https://github.com/man-group/arctic,LGPL-2.1,2015-05-29 13:37:30.000000,2021-03-12 12:13:06.000000,2021-01-26 00:14:21.000000,439,88.0,430.0,2225,1067.0,Arctic is a high performance datastore for numeric data.,71.0,24,True,2020-12-01 23:17:26.000000,1.79.4,83.0,arctic,conda-forge/arctic,,,,151.0,109.0,https://pypi.org/project/arctic,2020-12-01 23:16:12.000000,42.0,1292.0,1863.0,https://anaconda.org/conda-forge/arctic,2019-12-16 08:57:24.231000,13117.0,,,,,3.0,111.0,,,,,,,,,,,,,,,,,,,,,,\n356,fastNLP,fastnlp/fastNLP,,nlp,https://github.com/fastnlp/fastNLP,https://github.com/fastnlp/fastNLP,Apache-2.0,2018-03-07 13:30:20.000000,2021-02-23 11:04:05.000000,2021-02-23 11:04:05.000000,355,16.0,128.0,2072,1707.0,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,49.0,24,True,2020-11-06 15:31:29.000000,0.6.0,10.0,fastnlp,,,,,28.0,27.0,https://pypi.org/project/fastnlp,2019-02-04 02:35:37.000000,1.0,261.0,262.0,,,,,,,,3.0,54.0,,,,,,,,,,,,,,,,,,,,,,\n357,Alphalens,quantopian/alphalens,,financial-data,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15.000000,2020-09-05 16:48:14.000000,2020-04-27 18:40:41.000000,691,38.0,145.0,1835,522.0,Performance analysis of predictive (alpha) stock factors.,25.0,24,True,2020-04-30 15:42:52.000000,0.4.0,10.0,alphalens,conda-forge/alphalens,,,,397.0,369.0,https://pypi.org/project/alphalens,2020-04-27 21:03:10.000000,28.0,972.0,1263.0,https://anaconda.org/conda-forge/alphalens,2020-05-16 13:52:44.922000,11089.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n358,causalml,uber/causalml,,others,https://github.com/uber/causalml,https://github.com/uber/causalml,Apache-2.0,2019-07-09 02:08:58.000000,2021-03-17 17:14:53.000000,2021-03-17 17:14:53.000000,272,31.0,137.0,1835,309.0,Uplift modeling and causal inference with machine learning algorithms.,25.0,24,True,2021-02-19 20:58:43.000000,0.10.0,13.0,causalml,,,,,17.0,17.0,https://pypi.org/project/causalml,2021-02-19 20:32:15.000000,0.0,7937.0,7937.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n359,polyglot,aboSamoor/polyglot,,nlp,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,GPL-3.0,2014-06-30 02:07:45.000000,2020-10-27 10:55:53.000000,2020-09-22 22:35:28.000000,293,132.0,63.0,1803,271.0,Multilingual text (NLP) processing toolkit.,26.0,24,False,2016-07-03 20:05:42.000000,16.7.4,8.0,polyglot,,,,,594.0,464.0,https://pypi.org/project/polyglot,2016-07-03 20:05:42.000000,130.0,27196.0,27196.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n360,Spektral,danielegrattarola/spektral,,graph,https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10.000000,2021-04-01 10:27:29.000000,2021-03-24 08:34:28.000000,209,22.0,119.0,1685,945.0,Graph Neural Networks with Keras and Tensorflow 2.,16.0,24,True,2021-03-20 11:39:58.000000,1.0.6,29.0,spektral,,,,\"['tensorflow\"\"']\",44.0,44.0,https://pypi.org/project/spektral,2021-03-20 11:39:58.000000,0.0,1343.0,1343.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n361,category_encoders,scikit-learn-contrib/category_encoders,,sklearn-utils,https://github.com/scikit-learn-contrib/category_encoders,https://github.com/scikit-learn-contrib/category_encoders,BSD-3-Clause,2015-11-29 19:32:37.000000,2020-11-10 15:17:22.000000,2020-07-31 10:43:44.000000,304,73.0,135.0,1616,671.0,A library of sklearn compatible categorical variable encoders.,37.0,24,True,2020-04-29 02:09:51.000000,2.2.2,19.0,category_encoders,conda-forge/category_encoders,,,['sklearn'],23.0,,https://pypi.org/project/category_encoders,2018-10-14 14:15:54.000000,23.0,99149.0,100862.0,https://anaconda.org/conda-forge/category_encoders,2020-04-29 22:37:35.948000,97683.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n362,scattertext,JasonKessler/scattertext,,nlp,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12.000000,2021-03-08 07:54:17.000000,2021-03-08 07:43:55.000000,213,17.0,62.0,1535,346.0,Beautiful visualizations of how language differs among document types.,11.0,24,True,2021-03-08 07:54:17.000000,0.1.2,131.0,scattertext,conda-forge/scattertext,,,,178.0,162.0,https://pypi.org/project/scattertext,2021-03-08 07:54:17.000000,16.0,945.0,2015.0,https://anaconda.org/conda-forge/scattertext,2021-01-18 15:00:35.497000,47086.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n363,tslearn,tslearn-team/tslearn,,time-series-data,https://github.com/tslearn-team/tslearn,https://github.com/tslearn-team/tslearn,BSD-2-Clause,2017-05-04 13:08:13.000000,2021-03-16 22:42:37.000000,2021-01-25 15:18:03.000000,228,65.0,168.0,1529,,A machine learning toolkit dedicated to time-series data.,29.0,24,True,2021-01-25 15:19:11.000000,0.5.0.5,92.0,tslearn,conda-forge/tslearn,,,['sklearn'],234.0,212.0,https://pypi.org/project/tslearn,2021-01-25 15:28:45.000000,22.0,35492.0,40837.0,https://anaconda.org/conda-forge/tslearn,2021-01-25 17:55:55.394000,197780.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n364,Pandaral·lel,nalepae/pandarallel,,data-containers,https://github.com/nalepae/pandarallel,https://github.com/nalepae/pandarallel,BSD-3-Clause,2019-03-10 11:58:29.000000,2021-02-04 21:35:01.000000,2021-02-04 21:27:26.000000,99,68.0,55.0,1481,114.0,A simple and efficient tool to parallelize Pandas operations on all availableCPUs.,14.0,24,True,2021-02-04 21:35:01.000000,1.5.2,29.0,pandarallel,,,,\"['pandas', 'jupyter']\",168.0,168.0,https://pypi.org/project/pandarallel,2021-02-04 21:35:01.000000,0.0,126684.0,126684.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n365,mtcnn,ipazc/mtcnn,,image,https://github.com/ipazc/mtcnn,https://github.com/ipazc/mtcnn,MIT,2018-01-05 04:08:32.000000,2021-02-03 15:49:06.000000,2021-01-13 23:50:58.000000,386,55.0,36.0,1450,55.0,\"MTCNN face detection implementation for TensorFlow, as a PIP package.\",14.0,24,True,2019-11-14 17:37:05.000000,0.1.0,10.0,mtcnn,,,,['tensorflow'],1013.0,971.0,https://pypi.org/project/mtcnn,2019-11-14 17:37:05.000000,42.0,6274.0,6274.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n366,dtreeviz,parrt/dtreeviz,,interpretability,https://github.com/parrt/dtreeviz,https://github.com/parrt/dtreeviz,MIT,2018-08-13 21:45:15.000000,2021-03-31 23:33:04.000000,2021-03-31 23:32:39.000000,195,16.0,77.0,1446,362.0,A python library for decision tree visualization and model interpretation.,16.0,24,True,2021-03-16 21:49:18.000000,1.2,22.0,dtreeviz,,,,,122.0,118.0,https://pypi.org/project/dtreeviz,2021-03-16 21:47:25.000000,4.0,10888.0,10888.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n367,sklearn-contrib-lightning,scikit-learn-contrib/lightning,,sklearn-utils,https://github.com/scikit-learn-contrib/lightning,https://github.com/scikit-learn-contrib/lightning,BSD-3-Clause,2012-01-11 13:53:52.000000,2021-03-14 21:31:42.000000,2021-03-14 21:31:42.000000,192,47.0,36.0,1440,701.0,\"Large-scale linear classification, regression and ranking in Python.\",17.0,24,True,2020-12-16 17:26:49.000000,0.6.0,8.0,sklearn-contrib-lightning,conda-forge/sklearn-contrib-lightning,,,['sklearn'],91.0,81.0,https://pypi.org/project/sklearn-contrib-lightning,2020-12-16 17:26:49.000000,10.0,174.0,2557.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2020-12-20 22:58:20.890000,135860.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n368,IB-insync,erdewit/ib_insync,,financial-data,https://github.com/erdewit/ib_insync,https://github.com/erdewit/ib_insync,BSD-2-Clause,2017-07-12 12:09:24.000000,2021-03-31 17:24:15.000000,2021-03-31 17:24:12.000000,409,2.0,297.0,1354,566.0,Python sync/async framework for Interactive Brokers API.,28.0,24,True,2020-11-03 13:37:57.000000,0.9.64,89.0,ib_insync,conda-forge/ib-insync,,,,12.0,,https://pypi.org/project/ib_insync,2020-11-03 13:37:57.000000,12.0,2474.0,2883.0,https://anaconda.org/conda-forge/ib-insync,2021-02-25 02:28:19.625000,8605.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n369,sense2vec,explosion/sense2vec,,nlp,https://github.com/explosion/sense2vec,https://github.com/explosion/sense2vec,MIT,2016-01-23 22:15:49.000000,2021-03-03 09:08:52.000000,2021-03-03 09:08:52.000000,204,15.0,82.0,1196,451.0,Contextually-keyed word vectors.,15.0,24,True,2021-02-07 06:12:02.000000,2.0.0,21.0,sense2vec,conda-forge/sense2vec,,,,70.0,58.0,https://pypi.org/project/sense2vec,2021-02-07 06:12:02.000000,12.0,1735.0,3015.0,https://anaconda.org/conda-forge/sense2vec,2020-03-16 22:19:07.337000,16801.0,,,,,3.0,14273.0,,,,,,,,,,,,,,,,,,,,,,\n370,ViZDoom,mwydmuch/ViZDoom,,reinforcement-learning,https://github.com/mwydmuch/ViZDoom,https://github.com/mwydmuch/ViZDoom,MIT,2015-06-26 18:38:23.000000,2021-02-09 10:35:01.000000,2021-02-09 10:35:01.000000,298,87.0,329.0,1184,1464.0,Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information.,44.0,24,True,2020-10-29 15:56:20.000000,1.1.8,19.0,vizdoom,,,,,136.0,112.0,https://pypi.org/project/vizdoom,2020-10-29 15:56:20.000000,24.0,549.0,724.0,,,,,,,,2.0,10703.0,,,,,,,,,,,,,,,,,,,,,,\n371,garage,rlworkgroup/garage,,reinforcement-learning,https://github.com/rlworkgroup/garage,https://github.com/rlworkgroup/garage,MIT,2018-06-10 21:31:23.000000,2021-04-01 07:34:49.000000,2021-03-23 13:11:21.000000,210,205.0,779.0,1122,1203.0,A toolkit for reproducible reinforcement learning research.,73.0,24,True,2021-03-23 22:18:36.000000,2021.3.0,21.0,garage,,,,['tensorflow'],15.0,15.0,https://pypi.org/project/garage,2021-03-23 22:18:36.000000,0.0,197.0,197.0,,,,,,,,2.0,,,2.0,,,,,,,,,,,,,,,,,,,,\n372,livelossplot,stared/livelossplot,,ml-experiments,https://github.com/stared/livelossplot,https://github.com/stared/livelossplot,MIT,2018-03-10 17:51:43.000000,2021-02-07 23:25:37.000000,2021-02-07 23:24:31.000000,134,4.0,70.0,1059,323.0,\"Live training loss plot in Jupyter Notebook for Keras, PyTorch and others.\",16.0,24,True,2021-02-03 16:25:47.000000,0.5.4,24.0,livelossplot,,,,['jupyter'],487.0,477.0,https://pypi.org/project/livelossplot,2021-02-03 16:25:47.000000,10.0,13054.0,13054.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n373,bt,pmorissette/bt,,financial-data,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28.000000,2021-03-12 12:40:19.000000,2021-03-02 14:20:40.000000,264,54.0,173.0,1015,414.0,bt - flexible backtesting for Python.,21.0,24,True,2021-02-01 05:24:40.000000,0.2.8,24.0,bt,,,,,68.0,48.0,https://pypi.org/project/bt,2021-02-01 05:24:40.000000,20.0,2561.0,2561.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n374,fancyimpute,iskandr/fancyimpute,,sklearn-utils,https://github.com/iskandr/fancyimpute,https://github.com/iskandr/fancyimpute,Apache-2.0,2015-11-05 23:39:34.000000,2021-03-30 16:22:41.000000,2021-01-25 00:27:51.000000,150,3.0,104.0,950,198.0,Multivariate imputation and matrix completion algorithms implemented in Python.,11.0,24,True,2021-03-30 16:22:41.000000,0.5.5,26.0,fancyimpute,,,,['sklearn'],838.0,796.0,https://pypi.org/project/fancyimpute,2020-07-16 21:36:59.000000,42.0,3487.0,3487.0,,,,,,,,2.0,,,2.0,,,,,,,,,,,,,,,,,,,,\n375,spacy-transformers,explosion/spacy-transformers,,nlp,https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000000,2021-03-29 11:29:01.000000,2021-03-29 11:29:01.000000,108,48.0,,928,1324.0,\"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.\",15.0,24,True,2021-02-02 10:57:09.000000,1.0.1,44.0,spacy-transformers,,,,['spacy'],109.0,103.0,https://pypi.org/project/spacy-transformers,2021-02-02 09:54:58.000000,6.0,8778.0,8778.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n376,Streamz,python-streamz/streamz,,time-series-data,https://github.com/python-streamz/streamz,https://github.com/python-streamz/streamz,BSD-3-Clause,2017-04-04 21:45:49.000000,2021-03-31 05:38:21.000000,2021-01-14 20:46:26.000000,115,91.0,130.0,926,733.0,Real-time stream processing for python.,38.0,24,True,2021-01-14 20:47:38.000000,0.6.2,15.0,streamz,conda-forge/streamz,,,,211.0,195.0,https://pypi.org/project/streamz,2021-01-14 20:47:38.000000,16.0,1777.0,4972.0,https://anaconda.org/conda-forge/streamz,2021-01-15 14:38:35.032000,137415.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n377,ffn,pmorissette/ffn,,financial-data,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09.000000,2021-03-24 20:44:31.000000,2021-03-24 20:44:31.000000,193,18.0,63.0,819,347.0,ffn - a financial function library for Python.,26.0,24,True,2021-02-01 04:38:52.000000,0.3.5,26.0,ffn,,,,,151.0,109.0,https://pypi.org/project/ffn,2021-02-01 04:35:47.000000,42.0,7327.0,7327.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n378,PennyLane,PennyLaneAI/PennyLane,,others,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000000,2021-04-01 15:11:06.000000,2021-03-31 11:54:30.000000,230,56.0,261.0,818,1850.0,PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum..,44.0,24,True,2021-02-12 15:50:08.000000,0.14.1,20.0,pennylane,,,,,20.0,,https://pypi.org/project/pennylane,2021-02-12 15:49:56.000000,20.0,1953.0,1954.0,,,,,,,,2.0,56.0,,,,,,,,,,,,,,,,,,,,,,\n379,pyopencl,inducer/pyopencl,,others,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,MIT,2011-04-06 02:51:33.000000,2021-03-31 20:15:43.000000,2021-03-31 20:15:42.000000,213,54.0,213.0,794,,\"OpenCL integration for Python, plus shiny features.\",86.0,24,True,2021-03-11 04:45:21.000000,2021.1.3,59.0,pyopencl,conda-forge/pyopencl,,,,730.0,492.0,https://pypi.org/project/pyopencl,2021-03-15 20:12:45.000000,238.0,4459.0,11022.0,https://anaconda.org/conda-forge/pyopencl,2021-03-16 16:47:49.838000,354426.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n380,ktrain,amaiya/ktrain,,ml-frameworks,https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39.000000,2021-03-26 17:15:22.000000,2021-03-26 17:14:39.000000,191,10.0,316.0,781,2266.0,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,12.0,24,True,2021-03-26 17:15:23.000000,0.26.2,150.0,ktrain,,,,['tensorflow'],143.0,142.0,https://pypi.org/project/ktrain,2021-03-26 17:14:10.000000,1.0,5904.0,5904.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n381,openTSNE,pavlin-policar/openTSNE,,data-viz,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000000,2021-03-13 08:53:24.000000,2021-03-12 14:14:57.000000,84,4.0,75.0,773,521.0,\"Extensible, parallel implementations of t-SNE.\",10.0,24,True,2021-01-08 12:20:43.000000,0.5.1,19.0,opentsne,conda-forge/opentsne,,,,196.0,192.0,https://pypi.org/project/opentsne,2021-01-08 12:20:43.000000,4.0,5084.0,8157.0,https://anaconda.org/conda-forge/opentsne,2021-01-08 15:19:01.004000,86054.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n382,empyrical,quantopian/empyrical,,financial-data,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52.000000,2020-10-14 13:28:13.625000,2020-10-14 13:22:39.000000,237,27.0,26.0,754,167.0,Common financial risk and performance metrics. Used by zipline and pyfolio.,22.0,24,True,2020-10-13 21:29:19.000000,0.5.5,21.0,empyrical,conda-forge/empyrical,,,,787.0,565.0,https://pypi.org/project/empyrical,2020-10-13 21:29:19.000000,222.0,17664.0,17938.0,https://anaconda.org/conda-forge/empyrical,2020-10-14 13:28:13.625000,10413.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n383,PySwarms,ljvmiranda921/pyswarms,,others,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45.000000,2021-03-31 20:23:41.000000,2021-03-10 23:31:10.000000,236,21.0,155.0,750,406.0,A research toolkit for particle swarm optimization in Python.,42.0,24,True,2021-01-03 21:34:15.000000,1.3.0,20.0,pyswarms,,,,,97.0,97.0,https://pypi.org/project/pyswarms,2021-01-03 21:34:15.000000,0.0,2425.0,2425.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n384,Singer,singer-io/getting-started,,data-loading,https://github.com/singer-io/getting-started,https://github.com/singer-io/getting-started,AGPL-3.0,2016-10-31 16:53:56.000000,2021-03-22 20:41:58.000000,2020-12-04 20:57:19.000000,101,20.0,18.0,744,173.0,\"Standard for moving data between databases, web APIs, files, queues, and just about anything else you can think of.\",26.0,24,False,2021-02-25 20:41:17.000000,5.11.0,104.0,singer-python,,,,,300.0,,https://pypi.org/project/singer-python,2021-03-22 20:41:58.000000,300.0,25050.0,25050.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n385,Hail,hail-is/hail,,medical-data,https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000000,2021-04-01 15:01:08.000000,2021-04-01 15:00:50.000000,182,323.0,1940.0,709,7617.0,Scalable genomic data analysis.,73.0,24,True,2021-03-11 20:43:46.000000,0.2.64,84.0,hail,,,,['spark'],32.0,32.0,https://pypi.org/project/hail,2021-03-11 20:43:51.000000,0.0,2369.0,2369.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n386,dask-ml,dask/dask-ml,,distributed-ml,https://github.com/dask/dask-ml,https://github.com/dask/dask-ml,BSD-3-Clause,2017-06-15 15:56:06.000000,2021-03-31 09:23:02.000000,2021-03-29 23:35:59.000000,189,186.0,215.0,697,,Scalable Machine Learning with Dask.,64.0,24,True,2021-01-30 16:49:37.000000,1.8.0,27.0,dask-ml,conda-forge/dask-ml,,,,410.0,368.0,https://pypi.org/project/dask-ml,2021-01-30 16:49:37.000000,42.0,15395.0,20204.0,https://anaconda.org/conda-forge/dask-ml,2021-01-30 20:07:36.819000,201985.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n387,mahotas,luispedro/mahotas,,image,https://github.com/luispedro/mahotas,https://github.com/luispedro/mahotas,MIT,2010-01-31 00:13:06.000000,2021-01-22 05:47:20.379000,2021-01-13 11:55:02.000000,132,16.0,57.0,673,1276.0,Computer Vision in Python.,30.0,24,True,2020-08-16 17:22:48.000000,1.4.11,57.0,mahotas,conda-forge/mahotas,,,,787.0,597.0,https://pypi.org/project/mahotas,2020-08-16 17:22:48.000000,190.0,14760.0,19137.0,https://anaconda.org/conda-forge/mahotas,2021-01-22 05:47:20.379000,267011.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n388,pyjanitor,ericmjl/pyjanitor,,others,https://github.com/pyjanitor-devs/pyjanitor,https://github.com/pyjanitor-devs/pyjanitor,MIT,2018-03-04 22:43:33.000000,2021-03-30 01:57:27.000000,2021-03-26 22:58:14.000000,123,96.0,283.0,652,1162.0,Clean APIs for data cleaning. Python implementation of R package Janitor.,88.0,24,True,2021-02-25 17:30:52.000000,0.20.13,49.0,pyjanitor,conda-forge/pyjanitor,,,,91.0,87.0,https://pypi.org/project/pyjanitor,2021-02-25 17:30:52.000000,4.0,1391.0,3658.0,https://anaconda.org/conda-forge/pyjanitor,2021-03-25 12:03:18.871000,83913.0,,,,,2.0,,,,,,,,,,,,,pyjanitor-devs/pyjanitor,,,,,,,,,,\n389,PDPbox,SauceCat/PDPbox,,data-viz,https://github.com/SauceCat/PDPbox,https://github.com/SauceCat/PDPbox,MIT,2017-06-26 08:01:54.000000,2021-03-14 19:37:51.465000,2021-03-14 16:01:01.000000,85,19.0,38.0,555,227.0,python partial dependence plot toolbox.,7.0,24,True,2021-03-14 16:21:17.000000,0.2.1,3.0,pdpbox,conda-forge/pdpbox,,,,394.0,360.0,https://pypi.org/project/pdpbox,2021-03-14 16:21:17.000000,34.0,20643.0,20957.0,https://anaconda.org/conda-forge/pdpbox,2021-03-14 19:37:51.465000,6614.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n390,SALib,SALib/SALib,,probabilistics,https://github.com/SALib/SALib,https://github.com/SALib/SALib,MIT,2013-05-30 13:38:10.000000,2021-03-29 00:39:45.000000,2021-03-27 23:50:47.000000,142,41.0,189.0,440,915.0,\"Sensitivity Analysis Library in Python (Numpy). Contains Sobol, Morris, Fractional Factorial and FAST methods.\",24.0,24,True,2020-11-12 17:13:12.000000,1.3.12,29.0,salib,conda-forge/salib,,,,44.0,,https://pypi.org/project/salib,2020-11-19 15:36:26.000000,44.0,9526.0,10670.0,https://anaconda.org/conda-forge/salib,2020-10-24 17:04:41.614000,60637.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n391,python-soundfile,bastibe/python-soundfile,,audio,https://github.com/bastibe/python-soundfile,https://github.com/bastibe/python-soundfile,BSD-3-Clause,2013-08-27 13:36:52.000000,2021-01-13 07:52:51.000000,2020-12-01 18:42:47.000000,42,57.0,88.0,374,493.0,\"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.\",19.0,24,True,2019-12-04 10:03:39.000000,0.10.3post1,7.0,soundfile,,,,,6924.0,6184.0,https://pypi.org/project/soundfile,2019-11-27 12:16:19.000000,740.0,230146.0,230172.0,,,,,,,,3.0,2283.0,,,,,,,,,,,,,,,,,,,,,,\n392,ml-metadata,google/ml-metadata,,ml-experiments,https://github.com/google/ml-metadata,https://github.com/google/ml-metadata,Apache-2.0,2019-01-15 21:02:09.000000,2021-03-23 02:10:46.000000,2021-03-23 00:59:24.000000,63,17.0,43.0,298,484.0,For recording and retrieving metadata associated with ML developer and data scientist workflows.,12.0,24,True,2021-03-23 02:10:46.000000,0.29.0,25.0,ml-metadata,,,,,90.0,90.0,https://pypi.org/project/ml-metadata,2021-03-23 02:10:46.000000,0.0,100575.0,100624.0,,,,,,,,3.0,1244.0,,,,,,,,,,,,,,,,,,,,,,\n393,datalad,datalad/datalad,,others,https://github.com/datalad/datalad,https://github.com/datalad/datalad,MIT,2013-11-01 19:40:08.000000,2021-04-01 00:13:37.000000,2021-03-30 06:28:05.000000,73,706.0,2285.0,236,13593.0,\"Keep code, data, containers under control with git and git-annex.\",37.0,24,True,2021-02-02 17:40:16.000000,0.14.0,64.0,datalad,conda-forge/datalad,,,,26.0,,https://pypi.org/project/datalad,2021-02-02 17:35:56.000000,26.0,2325.0,5134.0,https://anaconda.org/conda-forge/datalad,2021-02-03 22:25:50.068000,103945.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n394,Ciphey,Ciphey/Ciphey,,nlp,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39.000000,2021-03-31 07:24:20.000000,2021-03-31 07:24:19.000000,366,39.0,186.0,6581,1742.0,\"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.\",40.0,23,True,2021-02-28 10:55:16.000000,5.11.1,44.0,ciphey,,remnux/ciphey,,,,,https://pypi.org/project/ciphey,2021-02-28 10:54:10.000000,,2445.0,2864.0,,,,https://hub.docker.com/r/remnux/ciphey,2021-02-28 19:47:10.077074,3.0,8801.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n395,snownlp,isnowfy/snownlp,,chinese-nlp,https://github.com/isnowfy/snownlp,https://github.com/isnowfy/snownlp,MIT,2013-11-26 11:46:56.000000,2020-01-19 02:39:05.000000,2020-01-19 02:39:03.000000,1266,36.0,65.0,5346,57.0,Python library for processing Chinese text.,8.0,23,False,2015-09-27 16:35:23.000000,0.12.3,17.0,snownlp,,,,,628.0,552.0,https://pypi.org/project/snownlp,2015-09-27 16:35:23.000000,76.0,1721.0,1721.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n396,mmdnn,Microsoft/MMdnn,,model-serialisation,https://github.com/microsoft/MMdnn,https://github.com/microsoft/MMdnn,MIT,2017-08-16 08:03:52.000000,2021-03-01 14:17:24.000000,2020-08-14 02:32:30.000000,938,307.0,287.0,5277,1083.0,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,85.0,23,True,2020-07-24 06:34:39.000000,0.3.1,12.0,mmdnn,,,,,54.0,51.0,https://pypi.org/project/mmdnn,2020-07-24 06:34:39.000000,3.0,394.0,475.0,,,,,,,,2.0,3328.0,,,,,,,,,,,,,,,,,,,,,,\n397,Apex,NVIDIA/apex,,gpu-utilities,https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000000,2021-03-29 16:57:20.000000,2021-03-24 08:12:00.000000,727,467.0,366.0,5190,833.0,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,80.0,23,True,,,1.0,,conda-forge/nvidia-apex,,,['pytorch'],499.0,499.0,,,,,2096.0,https://anaconda.org/conda-forge/nvidia-apex,2020-11-23 18:41:00.769000,37744.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n398,flashtext,vi3k6i5/flashtext,,nlp,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01.000000,2020-06-05 00:37:46.000000,2020-05-03 07:13:22.000000,542,52.0,49.0,4694,108.0,Extract Keywords from sentence or Replace keywords in sentences.,8.0,23,True,,,18.0,flashtext,,,,,426.0,394.0,https://pypi.org/project/flashtext,2018-02-16 05:24:17.000000,32.0,119989.0,119989.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n399,Lasagne,Lasagne/Lasagne,,ml-frameworks,https://github.com/Lasagne/Lasagne,https://github.com/Lasagne/Lasagne,MIT,2014-09-11 15:31:41.000000,2019-11-20 20:28:31.000000,2019-11-20 20:28:30.000000,983,139.0,402.0,3776,1161.0,Lightweight library to build and train neural networks in Theano.,72.0,23,False,2015-08-13 21:00:09.000000,0.1,1.0,lasagne,,,,,1305.0,799.0,https://pypi.org/project/lasagne,2015-08-13 21:10:53.000000,506.0,1041.0,1041.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n400,Snips NLU,snipsco/snips-nlu,,nlp,https://github.com/snipsco/snips-nlu,https://github.com/snipsco/snips-nlu,Apache-2.0,2017-02-08 16:16:36.000000,2020-12-24 12:59:47.000000,2020-02-08 21:49:32.000000,464,51.0,196.0,3466,2153.0,Snips Python library to extract meaning from text.,21.0,23,False,2020-01-15 10:13:17.000000,0.20.2,58.0,snips-nlu,,,,,16.0,,https://pypi.org/project/snips-nlu,2020-01-15 10:13:17.000000,16.0,1742.0,1742.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n401,torchdiffeq,rtqichen/torchdiffeq,,pytorch-utils,https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25.000000,2021-03-31 16:38:56.000000,2021-03-23 19:55:23.000000,594,23.0,109.0,3442,216.0,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,19.0,23,True,2021-02-06 20:33:16.000000,0.2.1,5.0,torchdiffeq,,,,['pytorch'],83.0,83.0,https://pypi.org/project/torchdiffeq,2021-02-06 20:33:16.000000,0.0,925.0,925.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n402,ArrayFire,arrayfire/arrayfire,,gpu-utilities,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000000,2021-03-31 16:03:26.000000,2021-03-23 02:59:03.000000,475,238.0,1221.0,3337,5708.0,ArrayFire: a general purpose GPU library.,80.0,23,True,2021-01-08 21:41:09.000000,3.8.0,30.0,arrayfire,,,,,8.0,,https://pypi.org/project/arrayfire,2021-03-05 17:36:30.000000,8.0,431.0,443.0,,,,,,,,2.0,897.0,,,,,,,,,,,,,,,,,,,,,,\n403,PyAlgoTrade,gbeced/pyalgotrade,,financial-data,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54.000000,2021-03-12 21:20:56.000000,2018-08-21 02:42:52.000000,1187,45.0,81.0,3253,1156.0,Python Algorithmic Trading Library.,11.0,23,False,,,8.0,pyalgotrade,,,,,92.0,71.0,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25.000000,21.0,334.0,334.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n404,Camelot,atlanhq/camelot,,data-loading,https://github.com/atlanhq/camelot,https://github.com/atlanhq/camelot,MIT,2016-06-18 11:48:49.000000,2020-07-27 12:28:15.000000,2019-10-15 05:25:40.000000,308,68.0,275.0,3019,446.0,Camelot: PDF Table Extraction for Humans.,23.0,23,False,2020-07-27 12:28:15.000000,0.8.2,21.0,camelot-py,,,,,20.0,,https://pypi.org/project/camelot-py,2020-07-27 12:28:15.000000,20.0,11891.0,11891.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n405,SHOGUN,shogun-toolbox/shogun,,ml-frameworks,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32.000000,2021-03-05 12:19:13.000000,2020-12-08 16:56:38.000000,1049,467.0,1076.0,2809,16205.0,Unified and efficient Machine Learning.,248.0,23,True,2019-07-05 10:23:31.000000,shogun_6.1.4,10.0,,conda-forge/shogun,shogun/shogun,,,,,,,,,2132.0,https://anaconda.org/conda-forge/shogun,2018-06-25 20:49:17.070000,95413.0,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1448.0,3.0,,,,,,,,,,shogun,,,,,,,,,,,,,\n406,keras-vis,raghakot/keras-vis,,interpretability,https://github.com/raghakot/keras-vis,https://github.com/raghakot/keras-vis,MIT,2016-11-11 23:27:34.000000,2020-04-20 01:03:13.000000,2020-04-20 01:03:12.000000,595,114.0,99.0,2807,195.0,Neural network visualization toolkit for keras.,10.0,23,True,2017-07-06 04:55:04.000000,0.4.1,11.0,keras-vis,,,,['tensorflow'],869.0,813.0,https://pypi.org/project/keras-vis,2017-07-06 04:55:04.000000,56.0,1002.0,1002.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n407,DoWhy,Microsoft/dowhy,,interpretability,https://github.com/microsoft/dowhy,https://github.com/microsoft/dowhy,MIT,2018-05-31 13:07:04.000000,2021-03-21 18:09:55.000000,2021-03-19 11:15:56.000000,402,22.0,90.0,2784,438.0,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,39.0,23,True,2021-03-03 03:44:46.000000,0.6,6.0,dowhy,conda-forge/dowhy,,,,31.0,31.0,https://pypi.org/project/dowhy,2021-03-03 03:45:16.000000,0.0,6675.0,6803.0,https://anaconda.org/conda-forge/dowhy,2020-12-13 07:46:12.761000,1406.0,,,,,2.0,23.0,,,,,,,,,,,,,,,,,,,,,,\n408,einops,arogozhnikov/einops,,ml-frameworks,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08.000000,2021-04-01 11:10:17.000000,2021-03-20 08:55:44.000000,91,21.0,44.0,2675,300.0,\"Deep learning operations reinvented (for pytorch, tensorflow, jax and others).\",10.0,23,True,2020-09-08 08:33:29.000000,0.3,3.0,einops,conda-forge/einops,,,,379.0,369.0,https://pypi.org/project/einops,2020-09-08 08:21:26.000000,10.0,27746.0,27974.0,https://anaconda.org/conda-forge/einops,2020-10-15 20:10:19.681000,4335.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n409,neuralcoref,huggingface/neuralcoref,,nlp,https://github.com/huggingface/neuralcoref,https://github.com/huggingface/neuralcoref,MIT,2017-07-03 13:04:16.000000,2021-02-24 08:54:06.000000,2021-02-24 08:54:03.000000,391,47.0,219.0,2247,115.0,Fast Coreference Resolution in spaCy with Neural Networks.,20.0,23,True,2019-04-08 11:28:27.000000,4.0.0,5.0,neuralcoref,conda-forge/neuralcoref,,,,331.0,313.0,https://pypi.org/project/neuralcoref,2019-04-08 09:56:00.000000,18.0,2147.0,2652.0,https://anaconda.org/conda-forge/neuralcoref,2020-02-21 22:10:40.453000,7016.0,,,,,3.0,181.0,,,,,,,,,,,,,,,,,,,,,,\n410,Gradio,gradio-app/gradio,,others,https://github.com/gradio-app/gradio,https://github.com/gradio-app/gradio,Apache-2.0,2018-12-19 08:24:04.000000,2021-03-26 21:21:50.000000,2021-03-26 21:21:45.000000,141,6.0,80.0,2225,969.0,\"Wrap UIs around any model, share with anyone.\",16.0,23,True,2021-03-12 19:09:36.000000,1.6.4,89.0,gradio,,,,,92.0,90.0,https://pypi.org/project/gradio,2021-03-12 19:09:36.000000,2.0,1141.0,1141.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n411,D-Tale,man-group/dtale,,data-viz,https://github.com/man-group/dtale,https://github.com/man-group/dtale,LGPL-2.1,2019-07-15 09:34:48.000000,2021-03-31 03:08:24.029000,2021-03-31 01:42:10.000000,157,31.0,291.0,2166,384.0,Visualizer for pandas data structures.,15.0,23,True,2021-03-31 02:47:15.000000,1.41.1,112.0,dtale,conda-forge/dtale,,,\"['pandas', 'jupyter']\",117.0,117.0,https://pypi.org/project/dtale,2021-03-31 02:45:27.000000,0.0,3107.0,6360.0,https://anaconda.org/conda-forge/dtale,2021-03-31 03:08:24.029000,45551.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n412,ART,Trusted-AI/adversarial-robustness-toolbox,,adversarial,https://github.com/Trusted-AI/adversarial-robustness-toolbox,https://github.com/Trusted-AI/adversarial-robustness-toolbox,MIT,2018-03-15 14:40:43.000000,2021-03-31 21:11:00.000000,2021-03-26 01:50:36.000000,587,92.0,393.0,2103,,\"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..\",65.0,23,True,2021-03-16 17:32:26.000000,1.6.0,30.0,adversarial-robustness-toolbox,,,,,110.0,110.0,https://pypi.org/project/adversarial-robustness-toolbox,2021-03-16 14:39:19.000000,0.0,1249.0,1249.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n413,Hyperas,maxpumperla/hyperas,,hyperopt,https://github.com/maxpumperla/hyperas,https://github.com/maxpumperla/hyperas,MIT,2016-02-19 14:45:10.000000,2020-12-22 08:31:48.000000,2020-12-22 08:31:47.000000,296,88.0,158.0,2083,209.0,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,21.0,23,True,2019-02-28 09:16:54.000000,0.4.1,9.0,hyperas,,,,['tensorflow'],42.0,,https://pypi.org/project/hyperas,2019-02-28 09:16:54.000000,42.0,15222.0,15222.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n414,SRU,asappresearch/sru,,pytorch-utils,https://github.com/asappresearch/sru,https://github.com/asappresearch/sru,MIT,2017-08-28 20:37:41.000000,2021-03-26 03:10:20.000000,2021-03-19 22:29:41.000000,286,49.0,62.0,1927,383.0,Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755).,21.0,23,True,2020-12-17 19:40:55.000000,2.6.0-rc1,24.0,sru,,,,['pytorch'],17.0,15.0,https://pypi.org/project/sru,2021-03-18 18:03:56.000000,2.0,730.0,730.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n415,pytorch-nlp,PetrochukM/PyTorch-NLP,,nlp,https://github.com/PetrochukM/PyTorch-NLP,https://github.com/PetrochukM/PyTorch-NLP,BSD-3-Clause,2018-02-25 05:00:36.000000,2021-01-26 22:24:03.000000,2021-01-26 22:23:57.000000,223,14.0,49.0,1887,445.0,Basic Utilities for PyTorch Natural Language Processing (NLP).,17.0,23,True,2019-11-04 05:16:00.000000,0.5.0,19.0,pytorch-nlp,,,,['pytorch'],212.0,194.0,https://pypi.org/project/pytorch-nlp,2019-11-04 04:35:18.000000,18.0,2086.0,2086.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n416,python_speech_features,jameslyons/python_speech_features,,audio,https://github.com/jameslyons/python_speech_features,https://github.com/jameslyons/python_speech_features,MIT,2013-10-31 02:42:08.000000,2020-12-31 13:27:02.000000,2020-12-31 13:27:01.000000,545,23.0,49.0,1864,120.0,This library provides common speech features for ASR including MFCCs and filterbank energies.,18.0,23,True,2020-01-14 14:12:10.000000,0.6.1,6.0,python_speech_features,,,,,300.0,,https://pypi.org/project/python_speech_features,2017-08-16 01:46:13.000000,300.0,28470.0,28470.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n417,GluonTS,awslabs/gluon-ts,,time-series-data,https://github.com/awslabs/gluon-ts,https://github.com/awslabs/gluon-ts,Apache-2.0,2019-05-15 17:17:29.000000,2021-04-01 13:25:13.000000,2021-04-01 11:11:48.000000,384,208.0,369.0,1818,680.0,Probabilistic time series modeling in Python.,69.0,23,True,2021-02-18 17:21:15.000000,0.6.7,30.0,gluonts,,,,['mxnet'],0.0,,https://pypi.org/project/gluonts,2021-02-18 17:21:15.000000,0.0,12250.0,12250.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n418,efficientnet,qubvel/efficientnet,,tensorflow-utils,https://github.com/qubvel/efficientnet,https://github.com/qubvel/efficientnet,Apache-2.0,2019-05-30 20:21:09.000000,2020-12-10 07:02:58.000000,2020-09-15 16:19:36.000000,398,56.0,55.0,1759,64.0,Implementation of EfficientNet model. Keras and TensorFlow Keras.,8.0,23,True,2020-09-15 16:26:00.000000,1.1.1,9.0,efficientnet,,,,['tensorflow'],561.0,557.0,https://pypi.org/project/efficientnet,2020-09-15 16:26:00.000000,4.0,40580.0,47621.0,,,,,,,,3.0,161947.0,,,,,,,,,,,,,,,,,,,,,,\n419,HyperTools,ContextLab/hypertools,,data-viz,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25.000000,2021-01-06 14:11:39.000000,2021-01-06 14:11:38.000000,152,66.0,122.0,1622,1591.0,A Python toolbox for gaining geometric insights into high-dimensional data.,21.0,23,True,2020-10-02 21:41:53.000000,0.6.3,19.0,hypertools,,,,,117.0,108.0,https://pypi.org/project/hypertools,2020-10-02 21:41:53.000000,9.0,202.0,202.0,,,,,,,,3.0,,,-2.0,,,,,,,,,,,,,,,,,,,,\n420,swifter,jmcarpenter2/swifter,,data-containers,https://github.com/jmcarpenter2/swifter,https://github.com/jmcarpenter2/swifter,MIT,2018-04-07 21:37:19.000000,2020-12-19 19:11:45.000000,2020-12-19 19:11:44.000000,77,16.0,76.0,1586,423.0,A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner.,14.0,23,True,2020-10-11 22:42:57.000000,1.0.7,71.0,swifter,conda-forge/swifter,,,['pandas'],339.0,307.0,https://pypi.org/project/swifter,2020-10-11 22:42:57.000000,32.0,35975.0,39625.0,https://anaconda.org/conda-forge/swifter,2020-09-20 15:08:56.885000,87621.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n421,Pillow-SIMD,uploadcare/pillow-simd,,image,https://github.com/uploadcare/pillow-simd,https://github.com/uploadcare/pillow-simd,PIL,2014-11-12 15:33:02.000000,2021-03-29 10:51:57.000000,2020-06-02 14:50:14.000000,65,11.0,54.0,1571,,The friendly PIL fork.,310.0,23,False,2020-01-02 05:19:26.000000,7.0.0,35.0,pillow-simd,,,,,431.0,381.0,https://pypi.org/project/pillow-simd,2020-01-26 14:30:27.000000,50.0,10403.0,10403.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n422,bonobo,python-bonobo/bonobo,,data-pipelines,https://github.com/python-bonobo/bonobo,https://github.com/python-bonobo/bonobo,Apache-2.0,2016-12-09 04:03:23.000000,2021-03-29 17:27:42.000000,2021-03-10 15:44:00.000000,113,66.0,108.0,1409,978.0,Extract Transform Load for Python 3.5+.,37.0,23,True,2019-05-16 13:19:48.000000,0.6.4,38.0,bonobo,,,http://docs.bonobo-project.org/en/master/,,165.0,113.0,https://pypi.org/project/bonobo,2019-07-20 13:33:19.000000,52.0,3260.0,3260.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n423,Magnitude,plasticityai/magnitude,,nn-search,https://github.com/plasticityai/magnitude,https://github.com/plasticityai/magnitude,MIT,2018-02-24 07:28:16.000000,2021-02-23 18:10:43.000000,2020-07-17 20:19:46.000000,98,27.0,50.0,1397,350.0,\"A fast, efficient universal vector embedding utility package.\",4.0,23,True,2020-05-25 11:26:36.000000,0.1.143,128.0,pymagnitude,,,,,198.0,184.0,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36.000000,14.0,1339.0,1339.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n424,TextAttack,QData/TextAttack,,adversarial,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000000,2021-04-01 10:20:07.000000,2021-03-21 14:59:00.000000,144,33.0,82.0,1324,1939.0,\"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP.\",31.0,23,True,2020-12-27 05:23:02.000000,0.2.15,35.0,textattack,,,,,18.0,18.0,https://pypi.org/project/textattack,2020-12-27 05:23:02.000000,0.0,674.0,674.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n425,fklearn,nubank/fklearn,,ml-frameworks,https://github.com/nubank/fklearn,https://github.com/nubank/fklearn,Apache-2.0,2019-02-27 14:32:57.000000,2021-02-09 20:46:53.000000,2021-02-09 20:46:53.000000,149,19.0,20.0,1305,117.0,fklearn: Functional Machine Learning.,37.0,23,True,2021-02-09 17:12:04.000000,1.22.0,20.0,fklearn,,,,,10.0,10.0,https://pypi.org/project/fklearn,2021-02-09 17:12:04.000000,,2190.0,2190.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n426,TNT,pytorch/tnt,,ml-experiments,https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58.000000,2021-01-22 09:14:29.000000,2021-01-05 19:36:17.000000,187,30.0,34.0,1300,156.0,\"Simple tools for logging and visualizing, loading and training.\",35.0,23,True,2019-11-15 12:57:59.000000,0.0.5.1,3.0,torchnet,,,,['pytorch'],591.0,541.0,https://pypi.org/project/torchnet,2018-07-29 23:16:03.000000,50.0,2596.0,2596.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n427,modAL,modAL-python/modAL,,others,https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000000,2021-03-22 13:32:18.000000,2021-01-07 09:40:40.000000,182,48.0,50.0,1168,648.0,A modular active learning framework for Python.,14.0,23,True,2021-01-07 09:47:49.000000,0.4.1,12.0,modAL,,,,['sklearn'],67.0,59.0,https://pypi.org/project/modAL,2021-01-07 09:47:49.000000,8.0,627.0,627.0,,,,,,,,3.0,9.0,,,,,,,,,,,,,,,,,,,,,,\n428,metric-learn,scikit-learn-contrib/metric-learn,,others,https://github.com/scikit-learn-contrib/metric-learn,https://github.com/scikit-learn-contrib/metric-learn,MIT,2013-11-02 08:29:47.000000,2021-03-26 09:01:17.000000,2020-08-04 01:35:39.000000,216,52.0,109.0,1128,263.0,Metric learning algorithms in Python.,19.0,23,True,2020-07-02 12:59:23.000000,0.6.2,10.0,metric-learn,,,,['sklearn'],147.0,129.0,https://pypi.org/project/metric-learn,2020-07-02 12:59:23.000000,18.0,6515.0,6515.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n429,Optimus,ironmussa/Optimus,,data-pipelines,https://github.com/ironmussa/Optimus,https://github.com/ironmussa/Optimus,Apache-2.0,2017-07-13 02:31:18.000000,2021-03-31 00:47:24.000000,2021-03-29 18:42:17.000000,190,139.0,168.0,991,3530.0,\"Agile Data Preparation Workflows madeeasy with dask, cudf, dask_cudf and pyspark.\",21.0,23,True,2020-07-19 03:05:40.000000,2.2.32,85.0,optimuspyspark,,,,['spark'],14.0,14.0,https://pypi.org/project/optimuspyspark,2019-05-30 02:22:54.000000,,3074.0,3074.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n430,SciSpacy,allenai/scispacy,,nlp,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52.000000,2021-03-19 17:27:14.000000,2021-03-19 17:27:14.000000,128,21.0,152.0,867,925.0,A full spaCy pipeline and models for scientific/biomedical documents.,19.0,23,True,2021-02-12 22:56:06.000000,0.4.0,10.0,scispacy,,,,,240.0,228.0,https://pypi.org/project/scispacy,2021-02-12 22:56:06.000000,12.0,5842.0,5842.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n431,ogb,snap-stanford/ogb,,graph,https://github.com/snap-stanford/ogb,https://github.com/snap-stanford/ogb,MIT,2019-11-22 22:13:57.000000,2021-03-29 05:40:16.000000,2021-03-29 05:40:00.000000,149,4.0,109.0,851,497.0,\"Benchmark datasets, data loaders, and evaluators for graph machine learning.\",14.0,23,True,2021-03-15 04:50:05.000000,1.3.0,13.0,ogb,,,,,73.0,73.0,https://pypi.org/project/ogb,2021-03-15 04:46:52.000000,0.0,2745.0,2745.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n432,scikit-cuda,lebedov/scikit-cuda,,gpu-utilities,https://github.com/lebedov/scikit-cuda,https://github.com/lebedov/scikit-cuda,BSD-3-Clause,2010-09-27 02:02:07.000000,2021-03-30 14:24:47.000000,2021-03-30 14:24:27.000000,157,41.0,165.0,812,1029.0,Python interface to GPU-powered libraries.,44.0,23,True,2019-05-27 00:29:00.000000,0.5.3,7.0,scikit-cuda,,,,,193.0,123.0,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00.000000,70.0,325.0,325.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n433,GPyOpt,SheffieldML/GPyOpt,,hyperopt,https://github.com/SheffieldML/GPyOpt,https://github.com/SheffieldML/GPyOpt,BSD-3-Clause,2014-08-13 09:58:25.000000,2020-11-17 10:32:02.000000,2020-11-05 15:16:04.000000,221,100.0,186.0,722,514.0,Gaussian Process Optimization using GPy.,49.0,23,True,2020-03-19 21:21:18.000000,1.2.6,11.0,gpyopt,,,,,215.0,179.0,https://pypi.org/project/gpyopt,2020-03-19 11:37:45.000000,36.0,3136.0,3136.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n434,pingouin,raphaelvallat/pingouin,,probabilistics,https://github.com/raphaelvallat/pingouin,https://github.com/raphaelvallat/pingouin,GPL-3.0,2018-04-01 01:10:22.000000,2021-03-31 17:06:33.000000,2021-03-13 17:30:38.000000,55,17.0,114.0,663,1075.0,Statistical package in Python based on Pandas.,18.0,23,False,2021-02-16 05:46:44.000000,0.3.10,32.0,pingouin,conda-forge/pingouin,,,,198.0,188.0,https://pypi.org/project/pingouin,2021-02-16 05:37:08.000000,10.0,10157.0,11370.0,https://anaconda.org/conda-forge/pingouin,2021-02-16 07:48:18.164000,33976.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n435,TreeInterpreter,andosa/treeinterpreter,,interpretability,https://github.com/andosa/treeinterpreter,https://github.com/andosa/treeinterpreter,BSD-3-Clause,2015-08-02 20:26:21.000000,2021-02-28 18:33:06.000000,2021-02-28 18:33:06.000000,132,24.0,4.0,651,37.0,Package for interpreting scikit-learn's decision tree and random forest predictions.,11.0,23,True,2021-01-10 20:12:39.000000,0.2.3,5.0,treeinterpreter,,,,['sklearn'],143.0,125.0,https://pypi.org/project/treeinterpreter,2021-01-10 20:12:39.000000,18.0,61809.0,61809.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n436,CellProfiler,CellProfiler/CellProfiler,,image,https://github.com/CellProfiler/CellProfiler,https://github.com/CellProfiler/CellProfiler,BSD-3-Clause,2011-04-05 12:10:12.000000,2021-03-30 20:13:45.000000,2021-02-19 16:37:05.000000,271,163.0,2782.0,551,15307.0,An open-source application for biological image analysis.,119.0,23,True,2021-02-16 21:59:54.000000,4.1.3,41.0,cellprofiler,,,,,3.0,3.0,https://pypi.org/project/cellprofiler,2017-09-04 18:03:36.000000,,190.0,199.0,,,,,,,,3.0,823.0,,,,,,,,,,,,,,,,,,,,,,\n437,tinytag,devsnd/tinytag,,audio,https://github.com/devsnd/tinytag,https://github.com/devsnd/tinytag,MIT,2014-01-27 15:27:01.000000,2021-03-28 14:28:00.000000,2021-03-28 14:27:32.000000,82,16.0,64.0,450,313.0,\"Read music meta data and length of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA and Wave files with python 2 or 3.\",18.0,23,True,2020-11-05 12:44:52.000000,1.5.0,33.0,tinytag,,,,,424.0,328.0,https://pypi.org/project/tinytag,2020-11-05 12:44:52.000000,96.0,1640.0,1640.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n438,python-ternary,marcharper/python-ternary,,data-viz,https://github.com/marcharper/python-ternary,https://github.com/marcharper/python-ternary,MIT,2012-08-07 23:48:55.000000,2021-03-31 17:34:05.000000,2021-03-31 17:34:05.000000,111,25.0,80.0,409,385.0,Ternary plotting library for python with matplotlib.,25.0,23,True,2021-02-17 18:38:15.000000,1.0.8,11.0,python-ternary,conda-forge/python-ternary,,,,82.0,62.0,https://pypi.org/project/python-ternary,2021-02-17 18:38:15.000000,20.0,743.0,1593.0,https://anaconda.org/conda-forge/python-ternary,2021-02-17 22:38:55.625000,51049.0,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,,,,,\n439,findspark,minrk/findspark,,others,https://github.com/minrk/findspark,https://github.com/minrk/findspark,BSD-3-Clause,2015-06-12 21:34:06.000000,2020-06-08 09:32:35.000000,2020-06-08 09:31:58.000000,67,11.0,8.0,394,67.0,Find pyspark to make it importable.,14.0,23,True,2020-06-08 09:32:23.000000,1.4.2,12.0,findspark,conda-forge/findspark,,,['spark'],1801.0,1599.0,https://pypi.org/project/findspark,2020-06-08 09:32:23.000000,202.0,365852.0,374785.0,https://anaconda.org/conda-forge/findspark,2018-07-06 12:57:33.438000,518121.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n440,sklearn-crfsuite,TeamHG-Memex/sklearn-crfsuite,,sklearn-utils,https://github.com/TeamHG-Memex/sklearn-crfsuite,https://github.com/TeamHG-Memex/sklearn-crfsuite,MIT,2015-11-26 21:15:41.000000,2020-12-30 08:00:27.000000,2019-12-05 08:17:22.000000,155,33.0,22.0,365,46.0,scikit-learn inspired API for CRFsuite.,6.0,23,False,2017-06-22 18:49:27.000000,0.3.6,9.0,sklearn-crfsuite,,,,['sklearn'],2978.0,2582.0,https://pypi.org/project/sklearn-crfsuite,2017-06-22 18:49:27.000000,396.0,31105.0,31105.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n441,messytables,okfn/messytables,,data-loading,https://github.com/okfn/messytables,https://github.com/okfn/messytables,MIT,2011-07-27 18:08:21.000000,2021-03-31 18:37:21.000000,2019-11-13 07:35:33.000000,101,34.0,55.0,363,601.0,Tools for parsing messy tabular data. This is now superseded by https://github.com/frictionlessdata/tabulator-py.,44.0,23,False,2017-02-09 12:37:47.000000,0.15.2,26.0,messytables,,,,,411.0,179.0,https://pypi.org/project/messytables,2017-02-09 12:37:47.000000,232.0,2738.0,2738.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n442,NIPY,nipy/nipy,,medical-data,https://github.com/nipy/nipy,https://github.com/nipy/nipy,BSD-3-Clause,2010-05-02 10:00:33.000000,2021-03-30 10:02:24.000000,2021-03-29 16:56:48.000000,123,43.0,110.0,295,6427.0,Neuroimaging in Python FMRI analysis package.,63.0,23,True,2018-02-19 14:14:08.000000,0.4.2,6.0,nipy,conda-forge/nipy,,,,82.0,,https://pypi.org/project/nipy,2018-02-19 14:14:08.000000,82.0,405.0,2089.0,https://anaconda.org/conda-forge/nipy,2020-05-04 19:38:04.112000,75783.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n443,pysparkling,svenkreiss/pysparkling,,data-pipelines,https://github.com/svenkreiss/pysparkling,https://github.com/svenkreiss/pysparkling,MIT,2015-05-09 19:23:20.000000,2021-03-05 14:35:43.000000,2021-02-22 17:29:11.000000,45,7.0,21.0,231,1527.0,A pure Python implementation of Apache Spark's RDD and DStream interfaces.,10.0,23,True,2021-01-10 21:15:26.000000,0.6.1,68.0,pysparkling,,,,,74.0,60.0,https://pypi.org/project/pysparkling,2021-01-10 21:15:26.000000,14.0,3496.0,3496.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n444,cortex,cortexlabs/cortex,,model-serialisation,https://github.com/cortexlabs/cortex,https://github.com/cortexlabs/cortex,Apache-2.0,2019-01-24 04:43:14.000000,2021-04-01 15:00:33.000000,2021-03-31 09:31:56.000000,568,192.0,795.0,7426,1988.0,\"Deploy, manage, and scale machine learning models in production.\",21.0,22,True,2021-03-30 23:55:15.000000,0.32.0,51.0,cortex,,,,,0.0,,https://pypi.org/project/cortex,2021-03-23 19:56:19.000000,0.0,640.0,640.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n445,PaddleHub,PaddlePaddle/PaddleHub,,others,https://github.com/PaddlePaddle/PaddleHub,https://github.com/PaddlePaddle/PaddleHub,Apache-2.0,2018-12-21 06:00:48.000000,2021-04-01 07:35:00.000000,2021-03-26 10:16:49.000000,1058,337.0,407.0,4852,,\"Awesome pre-trained models toolkit based on PaddlePaddle.300+ models including Image, Text, Audio and Video with Easy..\",34.0,22,True,2021-03-02 06:45:07.000000,2.0.3,43.0,paddlehub,,,,['paddle'],137.0,137.0,https://pypi.org/project/paddlehub,2021-03-02 06:45:07.000000,0.0,1068.0,1087.0,,,,,,,,3.0,485.0,,,,,,,,,,,,,,,,,,,,,,\n446,textgenrnn,minimaxir/textgenrnn,,nlp,https://github.com/minimaxir/textgenrnn,https://github.com/minimaxir/textgenrnn,MIT,2017-08-07 02:13:37.000000,2020-12-25 03:33:19.000000,2020-07-14 02:41:10.000000,681,117.0,80.0,4329,174.0,Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines..,19.0,22,True,2020-02-03 01:07:00.000000,2.0.0,14.0,textgenrnn,,,,['tensorflow'],756.0,728.0,https://pypi.org/project/textgenrnn,2020-02-02 21:16:15.000000,28.0,542.0,555.0,,,,,,,,3.0,480.0,,,,,,,,,,,,,,,,,,,,,,\n447,neon,NervanaSystems/neon,,ml-frameworks,https://github.com/NervanaSystems/neon,https://github.com/NervanaSystems/neon,Apache-2.0,2014-10-16 01:00:17.000000,2020-12-23 01:21:42.000000,2019-05-22 18:27:54.000000,848,87.0,305.0,3851,1118.0,Intel Nervana reference deep learning framework committed to best performance on all hardware.,109.0,22,False,2018-01-05 23:25:04.000000,2.6.0,32.0,nervananeon,,,,,45.0,44.0,https://pypi.org/project/nervananeon,2018-01-05 23:25:04.000000,1.0,73.0,77.0,,,,,,,,3.0,307.0,,,,,,,,,,,,,,,,,,,,,,\n448,Image Deduplicator,idealo/imagededup,,image,https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54.000000,2021-03-16 10:25:33.000000,2020-11-23 17:40:40.000000,286,20.0,57.0,3474,460.0,Finding duplicate images made easy!.,9.0,22,True,2020-11-23 17:55:24.000000,0.2.4,9.0,imagededup,,,,['tensorflow'],13.0,11.0,https://pypi.org/project/imagededup,2020-11-22 21:09:36.000000,2.0,939.0,939.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n449,segmentation_models,qubvel/segmentation_models,,image,https://github.com/qubvel/segmentation_models,https://github.com/qubvel/segmentation_models,MIT,2018-06-05 13:27:56.000000,2020-12-13 13:48:40.000000,2020-04-17 09:51:20.000000,702,158.0,239.0,3069,204.0,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,14.0,22,True,2020-01-10 11:36:02.000000,1.0.1,8.0,segmentation_models,,,,['tensorflow'],24.0,,https://pypi.org/project/segmentation_models,2020-01-10 11:36:02.000000,24.0,10283.0,10283.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n450,TensorWatch,microsoft/tensorwatch,,ml-experiments,https://github.com/microsoft/tensorwatch,https://github.com/microsoft/tensorwatch,MIT,2019-05-15 08:29:34.000000,2021-02-10 08:45:14.000000,2021-01-15 19:46:05.000000,323,49.0,15.0,3056,112.0,\"Debugging, monitoring and visualization for Python Machine Learning and Data Science.\",13.0,22,True,2020-03-04 07:26:22.000000,0.9.1,14.0,tensorwatch,,,,,51.0,45.0,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22.000000,6.0,1666.0,1666.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n451,Porcupine,Picovoice/Porcupine,,audio,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000000,2021-03-31 23:45:23.000000,2021-03-29 22:44:23.000000,338,9.0,285.0,2384,408.0,On-device wake word detection powered by deep learning.,26.0,22,True,2021-03-05 21:16:46.000000,1.9.4,18.0,pvporcupine,,,,,5.0,5.0,https://pypi.org/project/pvporcupine,2021-03-05 21:16:46.000000,0.0,433.0,433.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n452,MMLSpark,Azure/mmlspark,,distributed-ml,https://github.com/Azure/mmlspark,https://github.com/Azure/mmlspark,MIT,2017-06-05 08:23:44.000000,2021-03-31 07:27:55.000000,2021-03-28 17:15:38.000000,503,202.0,215.0,2295,795.0,Microsoft Machine Learning for Apache Spark.,64.0,22,True,2020-10-02 19:36:01.000000,1.0.0-rc3,17.0,mmlspark,,,,['spark'],,,https://pypi.org/project/mmlspark,2020-03-18 01:27:31.000000,,20941.0,20941.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n453,analytics-zoo,intel-analytics/analytics-zoo,,distributed-ml,https://github.com/intel-analytics/analytics-zoo,https://github.com/intel-analytics/analytics-zoo,Apache-2.0,2017-05-05 02:27:30.000000,2021-04-01 12:37:02.000000,2021-04-01 10:42:48.000000,647,486.0,572.0,2247,2759.0,\"Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray.\",87.0,22,True,2020-12-17 03:25:36.000000,0.9.0,63.0,analytics-zoo,,,,['spark'],2.0,2.0,https://pypi.org/project/analytics-zoo,2021-03-28 16:16:58.000000,,654.0,654.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n454,PandasGUI,adamerose/pandasgui,,data-viz,https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT,2019-06-12 02:19:42.000000,2021-03-29 13:09:18.000000,2021-03-29 13:09:13.000000,122,25.0,74.0,2118,403.0,A GUI for Pandas DataFrames.,8.0,22,True,2021-03-07 08:16:51.000000,0.2.10,40.0,pandasgui,,,,['pandas'],57.0,55.0,https://pypi.org/project/pandasgui,2021-03-07 08:16:51.000000,2.0,1066.0,1066.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n455,TF Ranking,tensorflow/ranking,,recommender-systems,https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57.000000,2021-02-04 05:28:32.000000,2021-02-04 05:28:28.000000,372,26.0,204.0,2087,325.0,Learning to Rank in TensorFlow.,20.0,22,True,2021-02-02 16:58:47.000000,0.3.3,15.0,tensorflow_ranking,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow_ranking,2021-01-30 02:05:46.000000,2.0,18470.0,18470.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n456,scikit-opt,guofei9987/scikit-opt,,sklearn-utils,https://github.com/guofei9987/scikit-opt,https://github.com/guofei9987/scikit-opt,MIT,2017-12-05 10:20:41.000000,2021-04-01 12:54:37.000000,2021-04-01 12:53:51.000000,488,21.0,69.0,2086,267.0,\"Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune..\",10.0,22,True,2021-03-27 15:31:11.000000,0.6.3,20.0,scikit-opt,,,,['sklearn'],30.0,27.0,https://pypi.org/project/scikit-opt,2021-03-27 15:27:39.000000,3.0,441.0,441.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n457,Enigma Catalyst,enigmampc/catalyst,,financial-data,https://github.com/enigmampc/catalyst,https://github.com/enigmampc/catalyst,Apache-2.0,2017-06-13 22:31:34.000000,2021-01-05 19:10:30.000000,2020-12-28 10:58:58.000000,604,135.0,363.0,2081,6362.0,An Algorithmic Trading Library for Crypto-Assets in Python.,144.0,22,True,2018-11-11 16:46:28.000000,0.5.21,52.0,enigma-catalyst,,,,,24.0,22.0,https://pypi.org/project/enigma-catalyst,2018-11-11 16:46:28.000000,2.0,870.0,870.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n458,Acme,deepmind/acme,,reinforcement-learning,https://github.com/deepmind/acme,https://github.com/deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000000,2021-04-01 12:31:17.000000,2021-04-01 12:30:32.000000,202,43.0,49.0,1996,398.0,A library of reinforcement learning components and agents.,35.0,22,True,2020-10-23 16:00:01.000000,0.2.0,9.0,dm-acme,,,,['tensorflow'],25.0,25.0,https://pypi.org/project/dm-acme,2020-10-23 16:00:01.000000,,233.0,233.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n459,PyFlux,RJT1990/pyflux,,time-series-data,https://github.com/RJT1990/pyflux,https://github.com/RJT1990/pyflux,BSD-3-Clause,2016-02-16 20:12:02.000000,2019-03-19 10:45:02.000000,2018-12-16 15:30:13.000000,209,79.0,65.0,1863,118.0,Open source time series library for Python.,6.0,22,False,2017-11-21 16:27:06.000000,0.4.16,35.0,pyflux,,,,,208.0,178.0,https://pypi.org/project/pyflux,2017-11-21 16:27:06.000000,30.0,6333.0,6333.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n460,MONAI,Project-MONAI/MONAI,,medical-data,https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000000,2021-04-01 14:57:28.000000,2021-04-01 12:55:24.000000,335,78.0,712.0,1861,921.0,AI Toolkit for Healthcare Imaging.,56.0,22,True,2020-12-15 15:21:13.000000,0.4.0,15.0,monai,,,,['pytorch'],,,https://pypi.org/project/monai,2020-12-15 15:16:56.000000,,1973.0,1973.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n461,DDSP,magenta/ddsp,,audio,https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27.000000,2021-03-31 22:13:07.000000,2021-03-24 18:36:30.000000,179,16.0,95.0,1811,365.0,DDSP: Differentiable Digital Signal Processing.,24.0,22,True,2021-03-21 22:05:32.000000,1.2.0,30.0,ddsp,,,,['tensorflow'],8.0,8.0,https://pypi.org/project/ddsp,2021-03-17 22:38:59.000000,,773.0,773.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n462,Essentia,MTG/essentia,,audio,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000000,2021-03-31 19:37:09.000000,2021-03-23 16:14:02.000000,408,307.0,573.0,1774,2778.0,\"C++ library for audio and music analysis, description and synthesis, including Python bindings.\",71.0,22,False,2015-03-31 16:33:30.000000,2.0,9.0,essentia,,,,,179.0,169.0,https://pypi.org/project/essentia,2021-01-13 00:12:18.000000,10.0,940.0,940.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n463,vidgear,abhiTronix/vidgear,,image,https://github.com/abhiTronix/vidgear,https://github.com/abhiTronix/vidgear,Apache-2.0,2019-03-17 02:42:42.000000,2021-04-01 03:58:23.000000,2021-01-01 04:26:42.000000,118,5.0,134.0,1695,547.0,High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features.,5.0,22,True,2021-01-01 07:57:09.000000,0.2.0,12.0,vidgear,,,,,98.0,96.0,https://pypi.org/project/vidgear,2021-01-01 07:57:09.000000,2.0,727.0,740.0,,,,,,,,3.0,335.0,,,,,,,,,,,,,,,,,,,,,,\n464,Multicore-TSNE,DmitryUlyanov/Multicore-TSNE,,data-viz,https://github.com/DmitryUlyanov/Multicore-TSNE,https://github.com/DmitryUlyanov/Multicore-TSNE,BSD-3-Clause,2016-10-19 05:46:52.000000,2020-12-20 08:15:51.000000,2020-08-19 14:58:00.000000,199,36.0,20.0,1551,113.0,Parallel t-SNE implementation with Python and Torch wrappers.,15.0,22,True,2017-11-08 13:32:20.000000,0.0.1,3.0,MulticoreTSNE,conda-forge/multicore-tsne,,,['pytorch'],248.0,220.0,https://pypi.org/project/MulticoreTSNE,2019-01-09 07:23:04.000000,28.0,1977.0,2196.0,https://anaconda.org/conda-forge/multicore-tsne,2018-11-12 17:08:01.525000,6378.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n465,fast-bert,kaushaltrivedi/fast-bert,,nlp,https://github.com/utterworks/fast-bert,https://github.com/utterworks/fast-bert,Apache-2.0,2019-04-18 22:01:20.000000,2021-03-09 01:10:31.000000,2021-03-09 01:10:25.000000,314,139.0,91.0,1546,269.0,Super easy library for BERT based NLP models.,34.0,22,True,2021-03-09 00:19:27.000000,1.9.7,41.0,fast-bert,,,,,2.0,,https://pypi.org/project/fast-bert,2021-03-09 00:19:27.000000,2.0,1236.0,1236.0,,,,,,,,3.0,,,,,,,,,,,,,utterworks/fast-bert,,,,,,,,,,\n466,PyTextRank,DerwenAI/pytextrank,,nlp,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000000,2021-03-27 00:58:43.000000,2021-03-27 00:58:43.000000,300,19.0,42.0,1519,,Python implementation of TextRank for phrase extraction and summarization of text documents.,13.0,22,True,2021-03-25 19:46:28.000000,3.1.1,15.0,pytextrank,,,,,150.0,138.0,https://pypi.org/project/pytextrank,2021-03-25 19:46:28.000000,12.0,3577.0,3577.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n467,streamparse,Parsely/streamparse,,data-pipelines,https://github.com/Parsely/streamparse,https://github.com/Parsely/streamparse,Apache-2.0,2014-05-02 20:33:50.000000,2020-12-18 18:44:04.000000,2020-12-18 18:43:59.000000,219,69.0,263.0,1430,1059.0,\"Run Python in Apache Storm topologies. Pythonic API, CLI tooling, and a topology DSL.\",40.0,22,True,2020-10-07 19:53:15.000000,4.0.0,47.0,streamparse,,,,,99.0,47.0,https://pypi.org/project/streamparse,2020-10-07 19:45:19.000000,52.0,860.0,860.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n468,anaGo,Hironsan/anago,,nlp,https://github.com/Hironsan/anago,https://github.com/Hironsan/anago,MIT,2017-06-26 21:28:36.000000,2021-04-01 12:35:21.000000,2021-04-01 12:34:50.000000,357,36.0,71.0,1394,298.0,\"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.\",11.0,22,True,2018-07-17 01:59:21.000000,1.0.8,14.0,anago,,,,['tensorflow'],30.0,25.0,https://pypi.org/project/anago,2018-07-17 01:59:21.000000,5.0,1475.0,1475.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n469,Talos,autonomio/talos,,hyperopt,https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41.000000,2021-03-13 16:53:20.000000,2020-11-21 16:27:04.000000,227,41.0,348.0,1386,538.0,\"Hyperparameter Optimization for TensorFlow, Keras and PyTorch.\",19.0,22,True,2020-11-09 16:48:30.000000,1.0,14.0,talos,,,,['tensorflow'],118.0,112.0,https://pypi.org/project/talos,2020-11-09 16:49:08.000000,6.0,1050.0,1050.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n470,FARM,deepset-ai/FARM,,nlp,https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12.000000,2021-03-31 14:30:40.000000,2021-03-31 14:30:09.000000,169,38.0,309.0,1153,549.0,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,32.0,22,True,2021-03-31 14:33:39.000000,0.7.1,23.0,farm,,,,['pytorch'],2.0,,https://pypi.org/project/farm,2021-02-22 17:30:04.000000,2.0,1794.0,1794.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n471,pycm,sepandhaghighi/pycm,,others,https://github.com/sepandhaghighi/pycm,https://github.com/sepandhaghighi/pycm,MIT,2018-01-22 19:46:54.000000,2021-03-29 20:09:44.000000,2021-03-11 15:42:19.000000,93,12.0,155.0,1083,2619.0,Multi-class confusion matrix library in Python.,14.0,22,True,2021-03-11 15:51:49.000000,3.1,35.0,pycm,,,,,104.0,94.0,https://pypi.org/project/pycm,2021-03-11 15:52:23.000000,10.0,1703.0,1703.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n472,pandasql,yhat/pandasql,,data-containers,https://github.com/yhat/pandasql,https://github.com/yhat/pandasql,MIT,2013-02-18 01:53:56.000000,2020-08-14 13:00:13.000000,2017-02-01 15:40:30.000000,141,44.0,23.0,958,127.0,sqldf for pandas.,15.0,22,False,2016-04-20 21:52:36.000000,0.7.3,31.0,pandasql,,,,['pandas'],787.0,689.0,https://pypi.org/project/pandasql,2016-04-20 21:52:36.000000,98.0,103944.0,103944.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n473,Alibi,SeldonIO/alibi,,interpretability,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Apache-2.0,2019-02-26 10:10:56.000000,2021-03-31 13:52:58.000000,2021-03-31 13:54:22.000000,114,71.0,89.0,947,251.0,Algorithms for monitoring and explaining machine learning models.,12.0,22,True,2021-03-31 13:51:42.000000,0.5.7,17.0,alibi,,,,,91.0,73.0,https://pypi.org/project/alibi,2021-02-18 12:48:56.000000,18.0,2699.0,2699.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n474,ChainerRL,chainer/chainerrl,,reinforcement-learning,https://github.com/chainer/chainerrl,https://github.com/chainer/chainerrl,MIT,2017-01-30 04:58:15.000000,2020-12-09 06:26:53.000000,2020-12-09 06:26:52.000000,206,75.0,146.0,932,3458.0,ChainerRL is a deep reinforcement learning library built on top of Chainer.,29.0,22,True,2020-02-14 05:35:56.000000,0.8.0,10.0,chainerrl,,,,,109.0,95.0,https://pypi.org/project/chainerrl,2020-02-14 05:35:56.000000,14.0,210.0,210.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n475,keract,philipperemy/keract,,interpretability,https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57.000000,2021-02-04 06:05:42.000000,2021-01-24 05:36:29.000000,177,3.0,75.0,865,359.0,Layers Outputs and Gradients in Keras. Made easy.,15.0,22,True,2021-01-22 09:01:30.000000,4.4.0,37.0,keract,,,,['tensorflow'],79.0,74.0,https://pypi.org/project/keract,2021-01-22 09:01:30.000000,5.0,816.0,816.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n476,minisom,JustGlowing/minisom,,others,https://github.com/JustGlowing/minisom,https://github.com/JustGlowing/minisom,CC-BY-3.0,2013-07-03 10:10:06.000000,2021-03-16 07:19:52.000000,2021-03-16 07:15:36.000000,256,7.0,66.0,809,433.0,MiniSom is a minimalistic implementation of the Self Organizing Maps.,20.0,22,False,2021-03-16 07:19:52.000000,2.2.8,15.0,minisom,,,,,161.0,153.0,https://pypi.org/project/minisom,2020-11-03 08:18:16.000000,8.0,2660.0,2660.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n477,Neural Structured Learning,tensorflow/neural-structured-learning,,tensorflow-utils,https://github.com/tensorflow/neural-structured-learning,https://github.com/tensorflow/neural-structured-learning,Apache-2.0,2019-08-27 21:48:16.000000,2021-03-31 21:22:19.000000,2021-03-31 21:22:15.000000,139,3.0,40.0,793,401.0,Training neural models with structured signals.,27.0,22,True,2020-08-18 00:35:35.000000,1.3.1,7.0,neural-structured-learning,,,,['tensorflow'],47.0,47.0,https://pypi.org/project/neural-structured-learning,2020-08-18 00:35:35.000000,0.0,1987.0,1987.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n478,Darts,unit8co/darts,,time-series-data,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000000,2021-03-30 14:31:43.000000,2021-02-03 09:28:07.000000,105,31.0,52.0,781,314.0,A python library for easy manipulation and forecasting of time series.,23.0,22,True,2021-02-03 11:18:37.000000,0.6.1,10.0,u8darts,,unit8/darts,,,15.0,15.0,https://pypi.org/project/u8darts,2021-02-03 11:18:37.000000,0.0,4421.0,4424.0,,,,https://hub.docker.com/r/unit8/darts,2021-02-03 09:39:53.970650,,101.0,2.0,,,,,,,,,,,,,,,,,,,,,,,\n479,Opacus,pytorch/opacus,,privacy-ml,https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000000,2021-03-31 12:31:39.000000,2021-03-31 12:29:37.000000,110,14.0,61.0,778,234.0,Training PyTorch models with differential privacy.,27.0,22,True,2021-03-10 19:25:01.000000,0.13.0,8.0,opacus,,,,['pytorch'],22.0,22.0,https://pypi.org/project/opacus,2021-03-10 19:25:01.000000,0.0,2544.0,2546.0,,,,,,,,2.0,31.0,,,,,,,,,,,,,,,,,,,,,,\n480,stockstats,jealous/stockstats,,financial-data,https://github.com/jealous/stockstats,https://github.com/jealous/stockstats,BSD-3-Clause,2016-06-05 15:21:22.000000,2020-12-10 07:08:11.000000,2020-10-17 10:59:35.000000,207,29.0,31.0,749,23.0,Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.,7.0,22,True,2020-10-17 11:10:43.000000,0.3.2,14.0,stockstats,,,,,258.0,210.0,https://pypi.org/project/stockstats,2020-10-17 11:10:43.000000,48.0,15016.0,15016.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n481,gmaps,pbugnion/gmaps,,geospatial-data,https://github.com/pbugnion/gmaps,https://github.com/pbugnion/gmaps,BSD-3-Clause,2014-12-01 09:12:06.000000,2020-10-13 07:09:18.000000,2019-07-22 06:22:45.000000,143,66.0,135.0,708,1380.0,Google maps for Jupyter notebooks.,16.0,22,False,2019-07-21 08:49:48.715000,0.9.0,94.0,gmaps,conda-forge/gmaps,,,['jupyter'],75.0,1.0,https://pypi.org/project/gmaps,2019-07-21 08:49:39.000000,74.0,2675.0,9630.0,https://anaconda.org/conda-forge/gmaps,2019-08-02 11:56:50.940000,215008.0,,,,,3.0,,,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715000,,2381.0,,,,,,,,,,,,,,,\n482,GPUtil,anderskm/gputil,,gpu-utilities,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43.000000,2020-10-01 05:42:49.000000,2019-08-16 09:00:15.000000,75,11.0,14.0,693,140.0,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,13.0,22,False,2018-12-18 09:12:13.000000,1.4.0,8.0,gputil,,,,,1195.0,1093.0,https://pypi.org/project/gputil,2018-12-18 09:12:13.000000,102.0,30758.0,30758.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n483,arch,bashtage/arch,,financial-data,https://github.com/bashtage/arch,https://github.com/bashtage/arch,NCSA,2014-08-29 15:41:28.000000,2021-03-16 18:00:11.000000,2021-03-16 17:00:34.000000,163,13.0,134.0,676,,ARCH models in Python.,26.0,22,False,2021-03-16 08:28:41.000000,4.19,32.0,arch,,,,,312.0,270.0,https://pypi.org/project/arch,2021-03-16 08:30:20.000000,42.0,22894.0,22894.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n484,Node2Vec,eliorc/node2vec,,graph,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000000,2021-03-31 09:39:46.000000,2021-01-09 08:39:26.000000,172,1.0,50.0,660,48.0,Implementation of the node2vec algorithm.,7.0,22,True,2021-01-09 08:40:34.000000,0.4.1,13.0,node2vec,conda-forge/node2vec,,,,137.0,127.0,https://pypi.org/project/node2vec,2021-01-09 08:38:24.000000,10.0,5415.0,5886.0,https://anaconda.org/conda-forge/node2vec,2020-04-25 22:41:13.714000,16506.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n485,scikit-multilearn,scikit-multilearn/scikit-multilearn,,sklearn-utils,https://github.com/scikit-multilearn/scikit-multilearn,https://github.com/scikit-multilearn/scikit-multilearn,BSD-2-Clause,2014-04-30 13:05:44.000000,2020-06-30 10:19:46.000000,2019-05-21 11:29:06.000000,120,66.0,92.0,644,487.0,A scikit-learn based module for multi-label et. al. classification.,15.0,22,False,2018-12-10 16:24:47.000000,0.2.0,6.0,scikit-multilearn,,,,['sklearn'],413.0,391.0,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47.000000,22.0,26384.0,26384.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n486,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,,data-viz,https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14.000000,2021-03-16 09:20:03.000000,2021-03-16 08:56:30.000000,80,19.0,57.0,637,270.0,Bokeh Plotting Backend for Pandas and GeoPandas.,12.0,22,True,2021-03-16 09:20:03.000000,0.5.4,15.0,pandas-bokeh,,,,['pandas'],158.0,148.0,https://pypi.org/project/pandas-bokeh,2021-03-16 09:20:03.000000,10.0,3693.0,3693.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n487,Sentinelsat,sentinelsat/sentinelsat,,geospatial-data,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26.000000,2021-02-08 09:57:22.000000,2021-01-31 18:47:01.000000,181,42.0,210.0,581,801.0,Search and download Copernicus Sentinel satellite images.,34.0,22,False,2020-06-12 07:15:51.000000,0.14,36.0,sentinelsat,,,,,227.0,183.0,https://pypi.org/project/sentinelsat,2020-06-12 07:08:37.000000,44.0,5874.0,5877.0,,,,,,,,3.0,196.0,,,,,,,,,,,,,,,,,,,,,,\n488,pickleDB,patx/pickledb,,data-containers,https://github.com/patx/pickledb,https://github.com/patx/pickledb,BSD-3-Clause,2011-10-28 00:04:40.000000,2021-03-23 21:52:22.000000,2019-11-15 03:38:30.000000,96,22.0,39.0,555,105.0,pickleDB is an open source key-value store using Python's json module.,11.0,22,False,2019-01-14 18:48:25.000000,0.9.2,20.0,pickledb,,,,,655.0,543.0,https://pypi.org/project/pickledb,2019-01-14 18:48:25.000000,112.0,8709.0,8709.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n489,combo,yzhao062/combo,,sklearn-utils,https://github.com/yzhao062/combo,https://github.com/yzhao062/combo,BSD-2-Clause,2019-07-14 01:13:36.000000,2021-03-29 00:05:33.000000,2021-03-15 01:39:54.000000,83,9.0,3.0,485,202.0,(AAAI' 20) A Python Toolbox for Machine Learning Model Combination.,1.0,22,True,2020-12-23 02:21:49.000000,0.1.2,12.0,combo,,,,\"['sklearn', 'xgboost']\",312.0,312.0,https://pypi.org/project/combo,2020-12-23 02:21:49.000000,0.0,7231.0,7231.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n490,GeoViews,holoviz/geoviews,,geospatial-data,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000000,2021-03-14 15:19:05.550000,2021-03-13 16:24:33.000000,64,75.0,179.0,338,655.0,\"Simple, concise geographical visualization in Python.\",23.0,22,True,2021-03-13 16:29:11.000000,1.9.1,26.0,geoviews,conda-forge/geoviews,,,,20.0,,https://pypi.org/project/geoviews,2021-03-13 16:29:11.000000,20.0,2514.0,4229.0,https://anaconda.org/conda-forge/geoviews,2021-03-14 15:19:05.550000,63487.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n491,Cornac,PreferredAI/cornac,,recommender-systems,https://github.com/PreferredAI/cornac,https://github.com/PreferredAI/cornac,Apache-2.0,2018-07-17 06:31:35.000000,2021-03-30 16:45:43.648000,2021-03-30 04:10:57.000000,60,3.0,37.0,311,1172.0,A Comparative Framework for Multimodal Recommender Systems.,11.0,22,True,2021-03-30 03:20:12.000000,1.12.0,37.0,cornac,conda-forge/cornac,,,,35.0,33.0,https://pypi.org/project/cornac,2021-03-30 03:23:59.000000,2.0,330.0,5624.0,https://anaconda.org/conda-forge/cornac,2021-03-30 16:45:43.648000,121784.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n492,pyvips,libvips/pyvips,,image,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000000,2021-03-19 19:33:38.000000,2021-02-24 09:49:23.000000,26,73.0,140.0,301,392.0,python binding for libvips using cffi.,10.0,22,True,2020-12-18 11:44:57.000000,2.1.14,20.0,pyvips,conda-forge/pyvips,,,,188.0,166.0,https://pypi.org/project/pyvips,2020-12-18 11:44:57.000000,22.0,3823.0,4215.0,https://anaconda.org/conda-forge/pyvips,2020-10-14 10:02:33.542000,7842.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n493,pySBD,nipunsadvilkar/pySBD,,nlp,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20.000000,2021-02-11 16:42:37.000000,2021-02-11 16:40:18.000000,28,3.0,48.0,298,279.0,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,6.0,22,True,2021-02-11 16:42:37.000000,0.3.4,15.0,pysbd,,,,,125.0,121.0,https://pypi.org/project/pysbd,2021-02-11 16:36:33.000000,4.0,8016.0,8016.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n494,vega,vega/ipyvega,,data-viz,https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000000,2021-03-19 21:48:14.000000,2021-03-19 21:48:13.000000,44,8.0,79.0,298,486.0,IPython/Jupyter notebook module for Vega and Vega-Lite.,9.0,22,True,2020-05-15 23:40:02.000000,3.4.0,37.0,vega,conda-forge/vega,,,['jupyter'],148.0,,https://pypi.org/project/vega,2020-05-15 23:40:02.000000,148.0,5207.0,12120.0,https://anaconda.org/conda-forge/vega,2020-12-10 15:03:57.175000,401006.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n495,TensorFlow Cloud,tensorflow/cloud,,tensorflow-utils,https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59.000000,2021-03-31 00:19:55.000000,2021-03-31 00:19:36.000000,47,47.0,25.0,232,521.0,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,17.0,22,True,2021-02-09 23:34:43.000000,0.1.13,16.0,tensorflow-cloud,,,,['tensorflow'],33.0,33.0,https://pypi.org/project/tensorflow-cloud,2021-02-09 23:34:43.000000,0.0,51229.0,51229.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n496,Orion,Epistimio/orion,,hyperopt,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21.000000,2021-04-01 07:02:38.000000,2021-04-01 02:24:11.000000,36,41.0,108.0,186,2571.0,Asynchronous Distributed Hyperparameter Optimization.,19.0,22,True,2021-01-19 22:46:16.000000,0.1.12,14.0,orion,,,,,48.0,40.0,https://pypi.org/project/orion,2021-01-19 22:46:16.000000,8.0,437.0,437.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n497,openpyxl,,,data-loading,,https://openpyxl.readthedocs.io,MIT,2015-11-03 00:22:17.154000,2021-03-13 16:57:07.865000,,0,198.0,1458.0,19,,A Python library to read/write Excel 2010 xlsx/xlsm files.,,22,False,2021-03-10 19:38:02.000000,3.0.7,97.0,openpyxl,openpyxl,openpyxl/openpyxl-ci,https://openpyxl.readthedocs.io/en/stable/,,9770.0,,https://pypi.org/project/openpyxl,2021-03-09 19:13:10.000000,9770.0,3893853.0,3894580.0,https://anaconda.org/anaconda/openpyxl,2021-03-13 16:57:07.865000,46121.0,https://hub.docker.com/r/openpyxl/openpyxl-ci,2018-09-13 18:04:17.646261,,1180.0,3.0,,,,,,,,,0.0,,,,,,,,,,,,https://foss.heptapod.net/api/graphql::openpyxl/openpyxl,https://foss.heptapod.net/openpyxl/openpyxl,\n498,Recommenders,microsoft/recommenders,,recommender-systems,https://github.com/microsoft/recommenders,https://github.com/microsoft/recommenders,MIT,2018-09-19 10:06:07.000000,2021-04-01 10:38:29.000000,2021-02-11 11:15:36.000000,1605,119.0,438.0,9424,6334.0,Best Practices on Recommendation Systems.,90.0,21,True,2021-02-04 14:08:48.000000,2021.2,7.0,,,,,,1.0,1.0,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n499,mace,XiaoMi/mace,,ml-frameworks,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12.000000,2021-04-01 08:00:17.000000,2021-03-02 12:23:05.000000,758,42.0,597.0,4329,3124.0,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,56.0,21,True,2021-03-18 10:07:32.000000,1.0.4,11.0,,,,,,,,,,,,41.0,,,,,,,,3.0,1335.0,,,,,,,,,,,,,,,,,,,,,,\n500,MMF,facebookresearch/mmf,,image,https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40.000000,2021-04-01 06:12:42.000000,2021-03-31 22:34:09.000000,630,113.0,342.0,4270,832.0,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,59.0,21,True,2019-08-26 19:04:21.000000,0.3.1,12.0,mmf,,,,['pytorch'],7.0,7.0,https://pypi.org/project/mmf,2020-06-12 22:15:02.000000,0.0,211.0,211.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n501,cuDF,rapidsai/cudf,,gpu-utilities,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000000,2021-04-01 15:10:31.000000,2021-04-01 15:07:35.000000,496,600.0,2957.0,3794,,cuDF - GPU DataFrame Library.,207.0,21,True,2021-03-15 21:19:08.000000,0.18.1,8.0,cudf,,,,,4.0,,https://pypi.org/project/cudf,2020-06-01 20:07:47.000000,4.0,438.0,438.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n502,DeepMatcher,anhaidgroup/deepmatcher,,nlp,https://github.com/anhaidgroup/deepmatcher,https://github.com/anhaidgroup/deepmatcher,BSD-3-Clause,2017-12-01 19:01:11.000000,2020-09-27 17:25:56.000000,2020-04-20 02:34:24.000000,1313,47.0,19.0,3518,169.0,Python package for performing Entity and Text Matching using Deep Learning.,7.0,21,True,2019-12-30 19:49:33.000000,0.1.1,9.0,deepmatcher,,,,,12.0,12.0,https://pypi.org/project/deepmatcher,2019-12-30 19:49:33.000000,,153.0,153.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n503,MatchZoo,NTMC-Community/MatchZoo,,nlp,https://github.com/NTMC-Community/MatchZoo,https://github.com/NTMC-Community/MatchZoo,Apache-2.0,2017-06-08 08:55:22.000000,2020-06-17 07:27:59.000000,2019-10-24 13:10:07.000000,877,27.0,428.0,3387,1808.0,\"Facilitating the design, comparison and sharing of deep text matching models.\",35.0,21,False,2019-10-24 13:09:11.000000,2.2.0,5.0,matchzoo,,,,['tensorflow'],10.0,10.0,https://pypi.org/project/matchzoo,2019-10-24 13:09:11.000000,,78.0,78.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n504,AdaNet,tensorflow/adanet,,hyperopt,https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24.000000,2020-07-09 21:03:28.000000,2020-07-09 20:51:04.000000,505,65.0,47.0,3268,439.0,Fast and flexible AutoML with learning guarantees.,26.0,21,True,2020-07-09 21:03:28.000000,0.9.0,13.0,adanet,,,,['tensorflow'],37.0,35.0,https://pypi.org/project/adanet,2020-07-09 21:03:28.000000,2.0,758.0,758.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n505,TensorTrade,tensortrade-org/tensortrade,,financial-data,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32.000000,2021-03-28 04:53:21.000000,2021-03-24 16:25:28.000000,687,21.0,142.0,3078,883.0,\"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.\",50.0,21,True,,,26.0,tensortrade,,,,,12.0,11.0,https://pypi.org/project/tensortrade,2020-12-20 18:30:31.000000,1.0,493.0,493.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n506,Image Super-Resolution,idealo/image-super-resolution,,image,https://github.com/idealo/image-super-resolution,https://github.com/idealo/image-super-resolution,Apache-2.0,2018-11-26 13:41:13.000000,2020-11-11 15:09:20.000000,2020-11-11 15:09:19.000000,498,62.0,102.0,2649,138.0,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,9.0,21,True,2020-01-08 15:37:35.000000,2.2.0,11.0,ISR,,idealo/image-super-resolution-gpu,,['tensorflow'],50.0,42.0,https://pypi.org/project/ISR,2020-01-08 15:37:35.000000,8.0,2115.0,2119.0,,,,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,,138.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n507,NLP Architect,IntelLabs/nlp-architect,,nlp,https://github.com/IntelLabs/nlp-architect,https://github.com/IntelLabs/nlp-architect,Apache-2.0,2018-05-17 21:00:13.000000,2021-03-30 13:10:16.000000,2021-03-21 09:58:58.000000,394,16.0,105.0,2625,951.0,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,36.0,21,True,2020-11-17 12:32:37.000000,0.5.5.1,13.0,nlp-architect,,,,,7.0,7.0,https://pypi.org/project/nlp-architect,2020-04-12 11:34:38.000000,,162.0,162.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n508,gpt-2-simple,minimaxir/gpt-2-simple,,nlp,https://github.com/minimaxir/gpt-2-simple,https://github.com/minimaxir/gpt-2-simple,MIT,2019-04-13 20:00:52.000000,2021-03-21 20:05:55.000000,2021-02-14 19:39:38.000000,540,144.0,93.0,2589,133.0,Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts.,17.0,21,True,2021-02-14 21:13:20.000000,0.7.2,16.0,gpt-2-simple,,,,['tensorflow'],6.0,,https://pypi.org/project/gpt-2-simple,2021-02-14 20:20:24.000000,6.0,4146.0,4154.0,,,,,,,,3.0,207.0,,,,,,,,,,,,,,,,,,,,,,\n509,tensorflow-graphics,tensorflow/graphics,,image,https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44.000000,2021-03-31 21:20:38.000000,2021-03-30 14:06:49.000000,283,101.0,84.0,2430,644.0,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,32.0,21,True,2020-05-20 19:56:41.000000,2020.5.20,21.0,tensorflow-graphics,,,,['tensorflow'],4.0,1.0,https://pypi.org/project/tensorflow-graphics,2020-05-20 19:56:41.000000,3.0,784.0,784.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n510,DeepVariant,google/deepvariant,,medical-data,https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000000,2021-03-31 18:27:06.000000,2021-03-31 18:23:13.000000,540,3.0,391.0,2233,1503.0,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,19.0,21,True,2020-12-07 17:56:31.000000,1.1.0,15.0,,bioconda/deepvariant,,,['tensorflow'],,,,,,,801.0,https://anaconda.org/bioconda/deepvariant,2021-03-26 11:24:16.888000,28171.0,,,,,3.0,3178.0,,,,,,,,,,,,,,,,,,,,,,\n511,Texar,asyml/texar,,nlp,https://github.com/asyml/texar,https://github.com/asyml/texar,Apache-2.0,2017-07-22 19:02:05.000000,2020-09-17 07:03:55.000000,2020-07-29 00:38:30.000000,337,32.0,126.0,2122,1719.0,\"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the..\",41.0,21,True,2019-11-19 04:11:18.000000,0.2.4,6.0,texar,,,,['tensorflow'],14.0,12.0,https://pypi.org/project/texar,2019-11-19 04:11:18.000000,2.0,32.0,32.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n512,Mars,mars-project/mars,,others,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03.000000,2021-04-01 15:01:42.000000,2021-03-31 13:42:47.000000,247,122.0,675.0,2077,763.0,\"Mars is a tensor-based unified framework for large-scale data computation which scales Numpy, pandas, Scikit-learn and..\",19.0,21,True,2021-03-22 03:26:08.000000,0.6.7,79.0,pymars,,,,,4.0,4.0,https://pypi.org/project/pymars,2021-03-31 04:08:31.000000,0.0,424.0,424.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n513,knockknock,huggingface/knockknock,,ml-experiments,https://github.com/huggingface/knockknock,https://github.com/huggingface/knockknock,MIT,2019-03-20 13:08:55.000000,2021-01-09 06:11:00.000000,2020-03-16 04:26:47.000000,162,12.0,21.0,2040,75.0,Knock Knock: Get notified when your training ends with only two additional lines of code.,18.0,21,False,2020-03-04 04:15:47.000000,0.1.8,10.0,knockknock,conda-forge/knockknock,,,,150.0,147.0,https://pypi.org/project/knockknock,2020-03-16 14:30:23.000000,3.0,1135.0,1469.0,https://anaconda.org/conda-forge/knockknock,2020-03-17 01:52:16.317000,6024.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n514,PARL,PaddlePaddle/PARL,,reinforcement-learning,https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22.000000,2021-03-30 05:47:48.000000,2021-03-30 05:47:48.000000,453,47.0,164.0,1915,1.0,A high-performance distributed training framework for Reinforcement Learning.,22.0,21,True,2021-03-10 06:55:54.000000,1.4.3,18.0,parl,,,,['paddle'],71.0,71.0,https://pypi.org/project/parl,2021-03-10 06:55:54.000000,,226.0,226.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n515,m2cgen,BayesWitnesses/m2cgen,,model-serialisation,https://github.com/BayesWitnesses/m2cgen,https://github.com/BayesWitnesses/m2cgen,MIT,2019-01-13 02:32:55.000000,2021-03-31 22:33:50.000000,2020-10-07 17:33:12.000000,153,36.0,36.0,1775,227.0,\"Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart,..\",12.0,21,True,2020-09-18 19:17:26.000000,0.9.0,12.0,m2cgen,,,,,6.0,6.0,https://pypi.org/project/m2cgen,2020-09-18 19:16:17.000000,,5015.0,5015.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n516,STUMPY,TDAmeritrade/stumpy,,time-series-data,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000000,2021-03-29 02:04:09.000000,2021-03-29 02:03:25.000000,163,26.0,201.0,1738,,\"STUMPY is a powerful and scalable Python library for computing a Matrix Profile, which can be used for a variety of..\",21.0,21,True,2021-02-04 19:05:43.000000,1.8.0,19.0,stumpy,conda-forge/stumpy,,,,0.0,,https://pypi.org/project/stumpy,2021-02-04 19:05:43.000000,0.0,11342.0,12153.0,https://anaconda.org/conda-forge/stumpy,2021-02-05 23:28:08.904000,18663.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n517,cleanlab,cgnorthcutt/cleanlab,,others,https://github.com/cgnorthcutt/cleanlab,https://github.com/cgnorthcutt/cleanlab,GPL-3.0,2018-05-11 01:55:21.000000,2021-03-30 03:59:56.000000,2021-03-30 03:59:56.000000,165,18.0,35.0,1636,744.0,The standard package for machine learning with noisy labels and finding mislabeled data in Python.,5.0,21,False,2020-02-17 07:33:06.000000,0.1.1,15.0,cleanlab,,,,,11.0,11.0,https://pypi.org/project/cleanlab,2020-02-17 07:33:06.000000,,1480.0,1480.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n518,auto_ml,ClimbsRocks/auto_ml,,hyperopt,https://github.com/ClimbsRocks/auto_ml,https://github.com/ClimbsRocks/auto_ml,MIT,2016-08-07 21:35:08.000000,2021-02-10 07:52:35.000000,2018-03-25 19:46:25.000000,293,185.0,216.0,1529,1149.0,[UNMAINTAINED] Automated machine learning for analytics & production.,13.0,21,False,2018-02-22 01:13:03.000000,2.9.10,78.0,auto_ml,,,,,2.0,,https://pypi.org/project/auto_ml,2018-02-22 01:13:03.000000,2.0,1454.0,1454.0,,,,,,,,3.0,33.0,,,,,,,,,,,,,,,,,,,,,,\n519,lore,instacart/lore,,ml-experiments,https://github.com/instacart/lore,https://github.com/instacart/lore,MIT,2017-10-19 21:51:45.000000,2021-02-22 18:13:04.000000,2020-05-11 22:26:45.000000,118,16.0,18.0,1514,270.0,Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers.,22.0,21,True,2020-05-11 22:28:23.000000,0.8.4,231.0,lore,,,,,17.0,16.0,https://pypi.org/project/lore,2020-05-11 22:28:23.000000,1.0,255.0,255.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n520,Neural Tangents,google/neural-tangents,,ml-frameworks,https://github.com/google/neural-tangents,https://github.com/google/neural-tangents,Apache-2.0,2019-04-08 16:48:48.000000,2021-03-31 22:02:40.000000,2021-03-31 22:02:33.000000,151,28.0,56.0,1369,370.0,Fast and Easy Infinite Neural Networks in Python.,18.0,21,True,2021-01-25 23:20:02.000000,0.3.6,20.0,neural-tangents,,,,,14.0,14.0,https://pypi.org/project/neural-tangents,2021-01-25 23:06:16.000000,0.0,111.0,122.0,,,,,,,,3.0,112.0,,,,,,,,,,,,,,,,,,,,,,\n521,Torchmeta,tristandeleu/pytorch-meta,,pytorch-utils,https://github.com/tristandeleu/pytorch-meta,https://github.com/tristandeleu/pytorch-meta,MIT,2018-12-04 23:36:45.000000,2021-03-19 14:53:50.000000,2021-03-19 14:47:19.000000,147,27.0,76.0,1247,342.0,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.,10.0,21,True,2021-03-19 14:49:53.000000,1.7.0,27.0,torchmeta,,,,['pytorch'],35.0,35.0,https://pypi.org/project/torchmeta,2021-03-19 14:49:53.000000,,402.0,402.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n522,Classy Vision,facebookresearch/ClassyVision,,image,https://github.com/facebookresearch/ClassyVision,https://github.com/facebookresearch/ClassyVision,MIT,2019-09-13 22:54:44.000000,2021-04-01 01:55:10.000000,2021-03-30 08:24:32.000000,214,53.0,50.0,1219,355.0,An end-to-end PyTorch framework for image and video classification.,60.0,21,True,2020-11-20 21:02:29.000000,0.5.0,15.0,classy_vision,conda-forge/classy_vision,,,['pytorch'],0.0,,https://pypi.org/project/classy_vision,2020-11-20 21:02:29.000000,0.0,74.0,517.0,https://anaconda.org/conda-forge/classy_vision,2020-12-11 20:08:25.437000,6656.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n523,Pypeline,cgarciae/pypeln,,data-pipelines,https://github.com/cgarciae/pypeln,https://github.com/cgarciae/pypeln,MIT,2018-09-01 13:43:31.000000,2021-01-05 18:00:20.000000,2021-01-05 17:59:44.000000,69,14.0,35.0,1214,234.0,Concurrent data pipelines in Python .,9.0,21,True,2021-01-05 18:00:06.000000,0.4.7,34.0,pypeln,,,,,10.0,,https://pypi.org/project/pypeln,2021-01-05 18:00:06.000000,10.0,4393.0,4393.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n524,Karate Club,benedekrozemberczki/karateclub,,graph,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56.000000,2021-03-30 00:11:09.000000,2021-03-30 00:00:29.000000,146,,47.0,1203,2119.0,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,11.0,21,False,2021-03-30 00:11:09.000000,_10024,97.0,karateclub,,,,,31.0,31.0,https://pypi.org/project/karateclub,2021-03-30 00:05:59.000000,0.0,2788.0,2788.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n525,Torch Points 3D,nicolas-chaulet/torch-points3d,,image,https://github.com/nicolas-chaulet/torch-points3d,https://github.com/nicolas-chaulet/torch-points3d,BSD-3-Clause,2019-12-06 11:33:34.000000,2021-03-31 18:31:38.000000,2021-03-29 07:22:54.000000,168,51.0,171.0,1164,1601.0,Pytorch framework for doing deep learning on point clouds.,20.0,21,True,2020-12-18 10:34:16.000000,1.2.0,13.0,torch-points3d,,,,['pytorch'],2.0,2.0,https://pypi.org/project/torch-points3d,2020-12-18 10:34:16.000000,,188.0,188.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n526,tensorrec,jfkirk/tensorrec,,recommender-systems,https://github.com/jfkirk/tensorrec,https://github.com/jfkirk/tensorrec,Apache-2.0,2017-02-28 18:51:11.000000,2021-03-18 20:46:02.000000,2020-02-04 21:10:25.000000,211,33.0,90.0,1132,334.0,A TensorFlow recommendation algorithm and framework in Python.,8.0,21,False,2019-04-02 00:53:47.000000,0.26.2,30.0,tensorrec,,,,['tensorflow'],28.0,25.0,https://pypi.org/project/tensorrec,2019-04-02 00:53:47.000000,3.0,672.0,672.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n527,mljar-supervised,mljar/mljar-supervised,,hyperopt,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000000,2021-04-01 15:02:32.000000,2021-04-01 12:28:40.000000,125,53.0,277.0,1004,852.0,Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning.,7.0,21,True,2021-04-01 15:02:32.000000,0.10.3,70.0,mljar-supervised,,,,,10.0,10.0,https://pypi.org/project/mljar-supervised,2021-04-01 14:13:12.000000,,1642.0,1642.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n528,tensorly,tensorly/tensorly,,others,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52.000000,2021-03-29 21:50:42.000000,2021-03-29 21:50:42.000000,202,36.0,103.0,984,,TensorLy: Tensor Learning in Python.,43.0,21,True,2020-12-07 20:30:41.000000,0.5.1,16.0,tensorly,conda-forge/tensorly,,,,20.0,,https://pypi.org/project/tensorly,2020-12-07 20:30:41.000000,20.0,1687.0,5218.0,https://anaconda.org/conda-forge/tensorly,2020-12-07 22:44:30.386000,123602.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n529,FinTA,peerchemist/finta,,financial-data,https://github.com/peerchemist/finta,https://github.com/peerchemist/finta,LGPL-3.0,2016-09-01 21:02:46.000000,2021-03-29 10:35:42.000000,2021-03-29 10:35:42.000000,304,10.0,59.0,928,369.0,Common financial technical indicators implemented in Pandas.,23.0,21,False,2020-10-21 11:36:19.000000,1.2,19.0,finta,,,,,66.0,62.0,https://pypi.org/project/finta,2020-10-21 11:39:44.000000,4.0,3694.0,3694.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n530,fastFM,ibayer/fastFM,,recommender-systems,https://github.com/ibayer/fastFM,https://github.com/ibayer/fastFM,BSD-3-Clause,2014-10-27 12:25:51.000000,2021-03-24 12:22:31.000000,2021-03-24 12:22:31.000000,187,44.0,59.0,911,297.0,fastFM: A Library for Factorization Machines.,20.0,21,True,2017-11-23 06:59:56.000000,0.2.11,10.0,fastfm,,,,,87.0,79.0,https://pypi.org/project/fastfm,2017-11-23 06:59:56.000000,8.0,222.0,227.0,,,,,,,,2.0,385.0,,,,,,,,,,,,,,,,,,,,,,\n531,FairScale,facebookresearch/fairscale,,distributed-ml,https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000000,2021-04-01 14:17:54.000000,2021-03-31 23:36:42.000000,69,35.0,110.0,903,373.0,PyTorch extensions for high performance and large scale training.,24.0,21,True,2021-03-09 18:44:29.000000,0.3.1,14.0,fairscale,,,,['pytorch'],9.0,9.0,https://pypi.org/project/fairscale,2021-03-18 18:40:20.000000,0.0,7486.0,7486.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n532,luminol,linkedin/luminol,,time-series-data,https://github.com/linkedin/luminol,https://github.com/linkedin/luminol,Apache-2.0,2015-11-18 23:16:33.000000,2020-12-27 09:54:35.000000,2018-01-09 07:46:55.000000,181,24.0,12.0,895,69.0,Anomaly Detection and Correlation library.,8.0,21,False,2016-01-20 01:01:44.000000,0.3.1,5.0,luminol,,,,,52.0,38.0,https://pypi.org/project/luminol,2017-12-11 06:04:15.000000,14.0,53329.0,53329.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n533,attention-ocr,emedvedev/attention-ocr,,ocr,https://github.com/emedvedev/attention-ocr,https://github.com/emedvedev/attention-ocr,MIT,2017-07-21 18:35:19.000000,2021-02-23 04:33:25.000000,2020-10-31 19:40:19.000000,228,19.0,126.0,846,196.0,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,27.0,21,True,2020-10-12 06:56:40.000000,0.7.6,21.0,aocr,,,,['tensorflow'],16.0,16.0,https://pypi.org/project/aocr,2019-04-19 05:28:27.000000,,182.0,182.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n534,iNNvestigate,albermax/innvestigate,,interpretability,https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20.000000,2020-12-30 15:22:24.000000,2020-10-16 15:26:56.000000,174,77.0,129.0,788,882.0,A toolbox to iNNvestigate neural networks' predictions!.,18.0,21,True,2020-11-14 11:35:59.000000,1.0.9,2.0,innvestigate,,,,['tensorflow'],54.0,53.0,https://pypi.org/project/innvestigate,2020-11-14 11:35:59.000000,1.0,210.0,210.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n535,tf-explain,sicara/tf-explain,,interpretability,https://github.com/sicara/tf-explain,https://github.com/sicara/tf-explain,MIT,2019-07-15 08:26:24.000000,2021-03-02 11:04:28.000000,2021-02-04 18:16:59.000000,73,33.0,45.0,786,197.0,Interpretability Methods for tf.keras models with Tensorflow 2.x.,13.0,21,True,2021-02-16 18:59:38.000000,0.3.0,7.0,tf-explain,,,,['tensorflow'],69.0,67.0,https://pypi.org/project/tf-explain,2021-02-16 18:59:38.000000,2.0,436.0,436.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n536,fairlearn,fairlearn/fairlearn,,interpretability,https://github.com/fairlearn/fairlearn,https://github.com/fairlearn/fairlearn,MIT,2018-05-15 01:51:35.000000,2021-03-31 03:25:47.000000,2021-03-26 21:11:30.000000,178,71.0,121.0,739,556.0,A Python package to assess and improve fairness of machine learning models.,33.0,21,True,2021-02-06 23:47:07.000000,0.6.0,13.0,fairlearn,conda-forge/fairlearn,,,['sklearn'],2.0,,https://pypi.org/project/fairlearn,2021-02-04 12:58:01.000000,2.0,5320.0,6091.0,https://anaconda.org/conda-forge/fairlearn,2021-02-03 19:59:47.855000,10802.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n537,Madmom,CPJKU/madmom,,audio,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06.000000,2020-04-14 03:42:18.000000,2019-12-19 14:46:37.000000,123,54.0,178.0,735,1722.0,Python audio and music signal processing library.,19.0,21,False,2018-11-14 14:57:41.000000,0.16.1,11.0,madmom,,,,,154.0,120.0,https://pypi.org/project/madmom,2018-11-14 14:56:22.000000,34.0,1254.0,1254.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n538,kapre,keunwoochoi/kapre,,audio,https://github.com/keunwoochoi/kapre,https://github.com/keunwoochoi/kapre,MIT,2016-12-14 18:36:36.000000,2021-03-25 21:02:49.000000,2021-03-25 21:02:44.000000,129,5.0,80.0,725,190.0,kapre: Keras Audio Preprocessors.,13.0,21,True,2021-03-18 22:14:02.000000,Kapre-0.3.5,21.0,kapre,,,,['tensorflow'],617.0,595.0,https://pypi.org/project/kapre,2020-09-29 18:49:13.000000,22.0,919.0,919.0,,,,,,,,3.0,10.0,,,,,,,,,,,,,,,,,,,,,,\n539,NeuPy,itdxer/neupy,,ml-frameworks,https://github.com/itdxer/neupy,https://github.com/itdxer/neupy,MIT,2015-08-24 19:45:11.000000,2021-03-18 20:44:32.000000,2019-09-02 19:02:38.000000,148,27.0,229.0,672,1145.0,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,6.0,21,False,2019-04-04 19:44:59.000000,0.8.2,34.0,neupy,,,,,112.0,101.0,https://pypi.org/project/neupy,2019-04-04 19:43:06.000000,11.0,507.0,507.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n540,torch-scatter,rusty1s/pytorch_scatter,,pytorch-utils,https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23.000000,2021-03-25 07:25:04.000000,2021-03-25 07:25:00.000000,75,63.0,119.0,625,825.0,PyTorch Extension Library of Optimized Scatter Operations.,15.0,21,True,2021-03-02 14:52:22.000000,2.0.6,26.0,torch-scatter,,,,['pytorch'],32.0,,https://pypi.org/project/torch-scatter,2021-03-03 06:21:28.000000,32.0,6087.0,6087.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n541,TensorBoard Logger,TeamHG-Memex/tensorboard_logger,,ml-experiments,https://github.com/TeamHG-Memex/tensorboard_logger,https://github.com/TeamHG-Memex/tensorboard_logger,MIT,2016-10-27 14:02:25.000000,2021-03-25 21:30:56.000000,2019-10-21 07:52:07.000000,52,9.0,15.0,611,46.0,Log TensorBoard events without touching TensorFlow.,5.0,21,False,2018-02-08 07:28:51.000000,0.1.0,5.0,tensorboard_logger,,,,,96.0,,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51.000000,96.0,35706.0,35706.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n542,Prince,MaxHalford/prince,,others,https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000000,2021-02-24 22:35:15.000000,2021-01-11 21:14:58.000000,120,29.0,64.0,598,179.0,\"Python factor analysis library (PCA, CA, MCA, MFA, FAMD).\",9.0,21,True,2020-10-06 11:26:47.000000,0.7.1,41.0,prince,,,,['sklearn'],117.0,111.0,https://pypi.org/project/prince,2020-10-06 11:26:47.000000,6.0,3135.0,3135.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n543,Mapbox GL,mapbox/mapboxgl-jupyter,,geospatial-data,https://github.com/mapbox/mapboxgl-jupyter,https://github.com/mapbox/mapboxgl-jupyter,MIT,2017-08-08 15:10:51.000000,2021-03-02 19:26:30.000000,2019-12-03 21:57:25.000000,121,35.0,67.0,562,220.0,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,20.0,21,False,2019-06-03 21:24:10.000000,0.10.2,20.0,mapboxgl,,,,['jupyter'],112.0,94.0,https://pypi.org/project/mapboxgl,2019-06-02 15:18:57.000000,18.0,2599.0,2599.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n544,Guild AI,guildai/guildai,,ml-experiments,https://github.com/guildai/guildai,https://github.com/guildai/guildai,Apache-2.0,2017-09-27 18:57:50.000000,2021-03-26 12:50:27.000000,2021-03-26 12:48:49.000000,41,97.0,165.0,559,4496.0,\"Experiment tracking, ML developer tools.\",16.0,21,True,2021-01-14 21:03:23.000000,0.7.2,166.0,guildai,,,,,27.0,27.0,https://pypi.org/project/guildai,2021-03-16 17:32:49.000000,,692.0,692.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n545,random-forest-importances,parrt/random-forest-importances,,interpretability,https://github.com/parrt/random-forest-importances,https://github.com/parrt/random-forest-importances,MIT,2018-03-22 19:20:13.000000,2021-01-30 21:50:08.000000,2021-01-30 21:50:02.000000,92,4.0,27.0,424,249.0,Code to compute permutation and drop-column importances in Python scikit-learn models.,14.0,21,True,2021-01-28 23:23:17.000000,1.3.7,22.0,rfpimp,,,,['sklearn'],70.0,66.0,https://pypi.org/project/rfpimp,2021-01-28 23:19:33.000000,4.0,4893.0,4893.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n546,lazypredict,shankarpandala/lazypredict,,hyperopt,https://github.com/shankarpandala/lazypredict,https://github.com/shankarpandala/lazypredict,MIT,2019-11-16 09:56:35.000000,2021-03-27 13:28:44.000000,2021-02-25 21:45:50.000000,91,14.0,29.0,421,195.0,Lazy Predict help build a lot of basic models without much code and helps understand which models works better without..,12.0,21,True,2021-02-17 15:38:45.000000,0.2.9,11.0,lazypredict,,,,['sklearn'],45.0,45.0,https://pypi.org/project/lazypredict,2021-02-17 15:38:45.000000,,530.0,530.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n547,pydlm,wwrechard/pydlm,,time-series-data,https://github.com/wwrechard/pydlm,https://github.com/wwrechard/pydlm,BSD-3-Clause,2016-06-29 07:58:53.000000,2021-02-24 14:21:28.000000,2019-10-22 07:18:40.000000,85,35.0,8.0,378,362.0,A python library for Bayesian time series modeling.,6.0,21,False,2016-11-06 01:43:35.000000,0.1.1,13.0,pydlm,,,,,19.0,17.0,https://pypi.org/project/pydlm,2018-12-19 10:27:54.000000,2.0,9881.0,9881.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n548,SDV,sdv-dev/SDV,,data-loading,https://github.com/sdv-dev/SDV,https://github.com/sdv-dev/SDV,MIT,2018-05-11 15:56:50.000000,2021-04-01 02:05:24.000000,2021-04-01 01:11:12.000000,66,64.0,161.0,373,812.0,\"Synthetic Data Generation for tabular, relational and time series data.\",33.0,21,True,2021-04-01 01:14:47.000000,0.9.0,44.0,sdv,,,,,18.0,18.0,https://pypi.org/project/sdv,2021-04-01 01:11:08.000000,0.0,1071.0,1071.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n549,PyTorch Sparse,rusty1s/pytorch_sparse,,pytorch-utils,https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53.000000,2021-04-01 05:27:22.000000,2021-04-01 05:27:22.000000,51,43.0,56.0,373,533.0,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,14.0,21,True,2021-03-03 15:26:45.000000,0.6.9,21.0,torch-sparse,,,,['pytorch'],34.0,,https://pypi.org/project/torch-sparse,2020-11-02 10:43:20.000000,34.0,4036.0,4036.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n550,Studio.ml,studioml/studio,,ml-experiments,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28.000000,2021-03-27 00:16:08.000000,2021-03-27 00:10:16.000000,50,56.0,192.0,371,2353.0,Studio: Simplify and expedite model building process.,21.0,21,True,2021-03-19 21:35:43.000000,0.0.43,194.0,studioml,,,,,4.0,4.0,https://pypi.org/project/studioml,2021-03-27 00:16:08.000000,,370.0,370.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n551,aequitas,dssg/aequitas,,interpretability,https://github.com/dssg/aequitas,https://github.com/dssg/aequitas,MIT,2018-02-13 19:40:30.000000,2021-03-19 10:35:14.000000,2021-02-23 13:51:06.000000,71,35.0,21.0,369,856.0,Bias and Fairness Audit Toolkit.,16.0,21,True,2020-12-16 11:48:14.000000,0.42.0,16.0,aequitas,,,,,74.0,68.0,https://pypi.org/project/aequitas,2020-12-16 11:48:14.000000,6.0,328.0,328.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n552,Pandas Summary,mouradmourafiq/pandas-summary,,data-containers,https://github.com/mouradmourafiq/pandas-summary,https://github.com/mouradmourafiq/pandas-summary,MIT,2016-03-25 21:59:32.000000,2019-08-24 21:10:25.000000,2019-08-24 21:10:24.000000,36,8.0,5.0,361,24.0,An extension to pandas dataframes describe function.,6.0,21,False,2016-08-30 07:54:59.000000,0.0.41,8.0,pandas-summary,,,,['pandas'],672.0,582.0,https://pypi.org/project/pandas-summary,2016-08-30 07:54:59.000000,90.0,13256.0,13256.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n553,torch-cluster,rusty1s/pytorch_cluster,,graph,https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06.000000,2021-03-06 06:14:10.000000,2021-03-06 06:14:04.000000,71,37.0,39.0,354,521.0,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,18.0,21,True,2021-03-01 13:58:47.000000,1.5.9,39.0,torch-cluster,,,,['pytorch'],32.0,,https://pypi.org/project/torch-cluster,2021-03-01 12:28:43.000000,32.0,3176.0,3176.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n554,Submit it,facebookincubator/submitit,,distributed-ml,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09.000000,2021-04-01 13:33:42.000000,2021-04-01 13:33:42.000000,22,13.0,21.0,324,59.0,Python 3.6+ toolbox for submitting jobs to Slurm.,11.0,21,True,2021-02-10 11:17:48.000000,1.2.1,10.0,submitit,conda-forge/submitit,,,,107.0,107.0,https://pypi.org/project/submitit,2021-02-10 11:17:48.000000,0.0,1523.0,1769.0,https://anaconda.org/conda-forge/submitit,2021-02-10 12:48:57.745000,1968.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n555,ploomber,ploomber/ploomber,,data-pipelines,https://github.com/ploomber/ploomber,https://github.com/ploomber/ploomber,Apache-2.0,2020-01-20 20:13:06.000000,2021-03-20 19:14:21.000000,2021-03-14 23:27:48.000000,3,39.0,248.0,248,1714.0,\"Lean Data Science workflows: develop locally, deploy to Kubernetes or Airflow.\",4.0,21,True,2021-03-07 17:10:50.000000,0.9.5,38.0,ploomber,,,,,13.0,13.0,https://pypi.org/project/ploomber,2021-03-07 17:10:50.000000,0.0,1231.0,1231.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n556,datatest,shawnbrown/datatest,,data-loading,https://github.com/shawnbrown/datatest,https://github.com/shawnbrown/datatest,Apache-2.0,2016-05-12 13:16:27.000000,2021-03-01 04:34:10.000000,2021-03-01 04:32:51.000000,12,9.0,42.0,237,2158.0,Tools for test driven data-wrangling and data validation.,6.0,21,True,2021-01-04 03:43:58.000000,0.11.1,17.0,datatest,,,,,33.0,31.0,https://pypi.org/project/datatest,2021-01-04 03:39:40.000000,2.0,1652.0,1652.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n557,quinn,MrPowers/quinn,,ml-experiments,https://github.com/MrPowers/quinn,https://github.com/MrPowers/quinn,Apache-2.0,2017-09-15 13:02:42.000000,2021-03-27 14:31:44.000000,2021-02-09 04:48:07.000000,27,17.0,9.0,220,110.0,pyspark methods to enhance developer productivity.,6.0,21,True,2021-02-06 15:21:04.000000,0.9.0,12.0,quinn,,,,['spark'],6.0,,https://pypi.org/project/quinn,2021-02-06 15:21:04.000000,6.0,64772.0,64772.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n558,StaticFrame,InvestmentSystems/static-frame,,data-containers,https://github.com/InvestmentSystems/static-frame,https://github.com/InvestmentSystems/static-frame,MIT,2018-01-03 15:07:52.000000,2021-03-31 11:55:57.289000,2021-03-31 03:17:01.000000,22,25.0,269.0,217,2456.0,Immutable and grow-only Pandas-like DataFrames with a more explicit and consistent interface.,16.0,21,True,2021-03-31 04:29:58.000000,0.8.6,104.0,static-frame,conda-forge/static-frame,,,,6.0,6.0,https://pypi.org/project/static-frame,2021-03-17 21:12:08.000000,0.0,381.0,3248.0,https://anaconda.org/conda-forge/static-frame,2021-03-31 11:55:57.289000,74552.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n559,py3nvml,fbcotter/py3nvml,,gpu-utilities,https://github.com/fbcotter/py3nvml,https://github.com/fbcotter/py3nvml,BSD-3-Clause,2016-11-21 01:07:37.000000,2020-10-10 10:41:08.987000,2020-04-23 06:54:42.000000,24,1.0,10.0,169,79.0,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,6.0,21,True,2020-04-06 16:02:10.000000,0.2.6,13.0,py3nvml,conda-forge/py3nvml,,,,264.0,244.0,https://pypi.org/project/py3nvml,2020-04-06 16:02:10.000000,20.0,39803.0,40769.0,https://anaconda.org/conda-forge/py3nvml,2020-10-10 10:41:08.987000,14490.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n560,stop-words,Alir3z4/python-stop-words,,nlp,https://github.com/Alir3z4/python-stop-words,https://github.com/Alir3z4/python-stop-words,BSD-3-Clause,2014-05-26 06:44:03.000000,2019-10-16 15:01:43.000000,2018-07-23 21:04:09.000000,23,3.0,9.0,122,90.0,Get list of common stop words in various languages in Python.,8.0,21,False,2018-07-23 20:58:34.000000,2018.7.23,8.0,stop-words,,,,,1402.0,1144.0,https://pypi.org/project/stop-words,2018-07-23 20:55:55.000000,258.0,26170.0,26170.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n561,pyexcel-xlsx,pyexcel/pyexcel-xlsx,,data-loading,https://github.com/pyexcel/pyexcel-xlsx,https://github.com/pyexcel/pyexcel-xlsx,BSD-3-Clause,2014-12-02 00:03:24.000000,2020-11-28 22:30:58.000000,2020-11-28 22:30:53.000000,16,12.0,20.0,86,267.0,\"A wrapper library to read, manipulate and write data in xlsx and xlsm format using openpyxl.\",4.0,21,False,2020-10-10 13:13:32.000000,0.6.0,30.0,pyexcel-xlsx,conda-forge/pyexcel-xlsx,,,,1460.0,1150.0,https://pypi.org/project/pyexcel-xlsx,2020-10-10 13:13:32.000000,310.0,23440.0,23814.0,https://anaconda.org/conda-forge/pyexcel-xlsx,2020-10-10 15:53:49.660000,15724.0,,,,,3.0,46.0,,,,,,,,,,,,,,,,,,,,,,\n562,Dejavu,worldveil/dejavu,,audio,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35.000000,2020-10-29 17:40:17.000000,2020-06-03 05:58:03.000000,1250,84.0,129.0,5364,146.0,Audio fingerprinting and recognition in Python.,23.0,20,True,2015-04-19 21:20:16.000000,0.1.3,4.0,PyDejavu,,,,,20.0,17.0,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16.000000,3.0,49.0,49.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n563,Qlib,microsoft/qlib,,financial-data,https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000000,2021-04-01 04:59:16.000000,2021-03-30 09:25:26.000000,750,110.0,93.0,4718,,\"Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research,..\",39.0,20,True,2021-02-02 09:29:47.000000,0.6.2,16.0,pyqlib,,,,['pytorch'],1.0,1.0,https://pypi.org/project/pyqlib,2021-02-02 09:29:47.000000,,1465.0,1497.0,,,,,,,,3.0,227.0,,,,,,,,,,,,,,,,,,,,,,\n564,MindsDB,mindsdb/mindsdb,,ml-frameworks,https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,GPL-3.0,2018-08-02 17:56:45.000000,2021-04-01 13:55:48.000000,2021-03-29 20:28:09.000000,435,40.0,511.0,3641,,Predictive AI layer for existing databases.,56.0,20,False,2021-02-24 14:31:35.000000,2.22.0,42.0,mindsdb,,,,['pytorch'],6.0,,https://pypi.org/project/mindsdb,2019-03-19 05:07:23.000000,6.0,1116.0,1116.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n565,TTS,mozilla/TTS,,audio,https://github.com/mozilla/TTS,https://github.com/mozilla/TTS,MPL-2.0,2018-01-23 14:22:06.000000,2021-03-29 03:09:27.000000,2021-02-12 10:36:31.000000,708,31.0,453.0,3379,2184.0,Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts).,55.0,20,True,2021-01-29 00:03:56.000000,0.0.9,1.0,,,,,,,,,,,,94.0,,,,,,,,3.0,284.0,,,,,,,,,,,,,,,,,,,,,,\n566,vit-pytorch,lucidrains/vit-pytorch,,image,https://github.com/lucidrains/vit-pytorch,https://github.com/lucidrains/vit-pytorch,MIT,2020-10-03 22:47:24.000000,2021-04-01 06:02:47.000000,2021-04-01 06:02:47.000000,340,30.0,50.0,3249,,\"Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single..\",5.0,20,True,2021-04-01 05:53:48.000000,0.14.2,47.0,vit-pytorch,,,,['pytorch'],10.0,10.0,https://pypi.org/project/vit-pytorch,2021-04-01 05:53:48.000000,,805.0,805.0,,,,,,,,3.0,,,2.0,,,,,,,,,,,,,,,,,,,,\n567,DALI,NVIDIA/DALI,,gpu-utilities,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000000,2021-04-01 10:37:19.000000,2021-03-31 16:51:37.000000,381,181.0,677.0,3190,1794.0,A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to..,57.0,20,True,2021-03-24 15:26:19.000000,1.0.0,38.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n568,TRFL,deepmind/trfl,,reinforcement-learning,https://github.com/deepmind/trfl,https://github.com/deepmind/trfl,Apache-2.0,2018-08-08 14:44:11.000000,2020-11-06 04:44:44.000000,2020-04-20 13:05:56.000000,372,6.0,16.0,3063,116.0,TensorFlow Reinforcement Learning.,12.0,20,True,2020-04-20 14:11:57.000000,1.1.0,4.0,trfl,,,,['tensorflow'],45.0,43.0,https://pypi.org/project/trfl,2020-04-20 14:11:57.000000,2.0,226.0,226.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n569,FATE,FederatedAI/FATE,,privacy-ml,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000000,2021-04-01 12:46:19.000000,2021-03-31 12:44:08.000000,851,290.0,533.0,2909,7566.0,An Industrial Grade Federated Learning Framework.,55.0,20,True,2021-03-31 14:56:10.000000,1.6.0,26.0,,,,,,,,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n570,dpark,douban/dpark,,data-pipelines,https://github.com/douban/dpark,https://github.com/douban/dpark,BSD-3-Clause,2012-04-11 08:35:06.000000,2020-12-25 10:36:06.000000,2020-12-25 10:36:05.000000,554,,60.0,2656,1467.0,\"Python clone of Spark, a MapReduce alike framework in Python.\",35.0,20,True,2018-07-27 04:11:36.000000,0.5.0,19.0,dpark,,,,['spark'],4.0,3.0,https://pypi.org/project/dpark,2018-07-27 04:11:36.000000,1.0,34.0,34.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n571,finmarketpy,cuemacro/finmarketpy,,financial-data,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03.000000,2021-03-30 11:10:31.000000,2021-03-30 11:10:23.000000,431,21.0,3.0,2519,659.0,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,14.0,20,True,2021-01-25 15:04:53.000000,0.11.8,9.0,finmarketpy,,,,,3.0,3.0,https://pypi.org/project/finmarketpy,2021-01-25 15:01:25.000000,,84.0,84.0,,,,,,,,3.0,39.0,,,,,,,,,,,,,,,,,,,,,,\n572,NeMo,NVIDIA/NeMo,,nlp,https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000000,2021-04-01 05:04:20.000000,2021-03-31 23:52:24.000000,444,193.0,297.0,2512,,NeMo: a toolkit for conversational AI.,85.0,20,True,2020-07-10 00:01:18.000000,0.11.0,36.0,nemo-toolkit,,,,['pytorch'],4.0,,https://pypi.org/project/nemo-toolkit,2020-12-11 21:33:53.000000,4.0,1468.0,1490.0,,,,,,,,3.0,430.0,,,,,,,,,,,,,,,,,,,,,,\n573,Hummingbird,microsoft/hummingbird,,model-serialisation,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000000,2021-03-30 21:10:35.000000,2021-03-30 20:52:02.000000,172,52.0,145.0,2362,,Hummingbird compiles trained ML models into tensor computation for faster inference.,20.0,20,True,2021-03-09 22:24:11.000000,0.2.2,10.0,hummingbird-ml,,,,,14.0,14.0,https://pypi.org/project/hummingbird-ml,2021-03-09 22:24:11.000000,,734.0,742.0,,,,,,,,3.0,97.0,,,,,,,,,,,,,,,,,,,,,,\n574,Luminoth,tryolabs/luminoth,,image,https://github.com/tryolabs/luminoth,https://github.com/tryolabs/luminoth,BSD-3-Clause,2017-02-16 15:07:46.000000,2020-12-24 21:01:24.000000,2020-01-07 20:53:25.000000,404,50.0,127.0,2355,838.0,Deep Learning toolkit for Computer Vision.,15.0,20,False,2018-11-09 21:35:17.000000,0.2.3,10.0,luminoth,,,,['tensorflow'],31.0,29.0,https://pypi.org/project/luminoth,2018-11-09 21:35:17.000000,2.0,299.0,568.0,,,,,,,,3.0,11321.0,,,,,,,,,,,,,,,,,,,,,,\n575,Sweetviz,fbdesignpro/sweetviz,,data-viz,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47.000000,2021-02-26 17:36:34.000000,2021-02-26 17:31:53.000000,159,20.0,55.0,1490,94.0,\"Visualize and compare datasets, target values and associations, with one line of code.\",6.0,20,True,2021-02-26 17:36:35.000000,2.0.9,26.0,sweetviz,,,,,0.0,,https://pypi.org/project/sweetviz,2021-02-23 15:37:25.000000,0.0,6539.0,6539.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n576,AmpliGraph,Accenture/AmpliGraph,,graph,https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05.000000,2020-08-25 17:19:24.000000,2020-08-25 17:00:58.000000,165,22.0,159.0,1457,895.0,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,14.0,20,True,2020-08-25 17:06:46.000000,1.3.2,11.0,ampligraph,,,,['tensorflow'],12.0,12.0,https://pypi.org/project/ampligraph,2020-08-25 16:59:58.000000,,334.0,334.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n577,reformer-pytorch,lucidrains/reformer-pytorch,,pytorch-utils,https://github.com/lucidrains/reformer-pytorch,https://github.com/lucidrains/reformer-pytorch,MIT,2020-01-09 20:42:37.000000,2021-03-08 14:51:57.000000,2021-03-08 14:51:06.000000,183,7.0,98.0,1425,240.0,\"Reformer, the efficient Transformer, in Pytorch.\",10.0,20,True,2021-03-08 14:51:30.000000,1.2.6,134.0,reformer-pytorch,,,,['pytorch'],,,https://pypi.org/project/reformer-pytorch,2021-03-08 14:51:57.000000,,269.0,269.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n578,hiddenlayer,waleedka/hiddenlayer,,ml-experiments,https://github.com/waleedka/hiddenlayer,https://github.com/waleedka/hiddenlayer,MIT,2018-05-18 22:34:51.000000,2020-04-24 07:32:11.000000,2020-04-24 06:58:09.000000,200,44.0,33.0,1419,58.0,\"Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.\",6.0,20,True,2018-12-03 04:33:29.000000,0.2,3.0,hiddenlayer,,,,\"['pytorch', 'tensorflow', 'jupyter']\",71.0,63.0,https://pypi.org/project/hiddenlayer,2020-04-24 07:32:11.000000,8.0,1304.0,1304.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n579,DELTA,Delta-ML/delta,,nlp,https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57.000000,2021-03-31 17:21:45.916247,2020-12-17 06:57:15.000000,284,9.0,69.0,1397,932.0,DELTA is a deep learning based natural language and speech processing platform.,41.0,20,True,2020-07-16 09:31:45.000000,0.3.3,4.0,delta-nlp,,zh794390558/delta,,['tensorflow'],,,https://pypi.org/project/delta-nlp,2020-03-27 04:46:19.000000,,6.0,537.0,,,,https://hub.docker.com/r/zh794390558/delta,2021-03-31 17:21:45.916247,,12228.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n580,TensorFlow Privacy,tensorflow/privacy,,privacy-ml,https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000000,2021-03-22 16:04:35.000000,2021-03-22 16:04:33.000000,275,46.0,77.0,1370,445.0,Library for training machine learning models with privacy for training data.,36.0,20,True,2020-09-03 01:13:47.000000,.0.5.1,9.0,tensorflow-privacy,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow-privacy,2020-09-03 01:10:15.000000,2.0,2809.0,2811.0,,,,,,,,2.0,42.0,,,,,,,,,,,,,,,,,,,,,,\n581,ThunderSVM,Xtra-Computing/thundersvm,,ml-frameworks,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04.000000,2021-02-10 05:12:44.000000,2021-02-10 05:12:44.000000,169,44.0,145.0,1289,902.0,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,33.0,20,True,2020-03-13 12:36:30.000000,0.3.12,9.0,thundersvm,,,,,,,https://pypi.org/project/thundersvm,2020-03-13 12:36:30.000000,,136.0,176.0,,,,,,,,3.0,2166.0,,,,,,,,,,,,,,,,,,,,,,\n582,MLBox,AxeldeRomblay/MLBox,,hyperopt,https://github.com/AxeldeRomblay/MLBox,https://github.com/AxeldeRomblay/MLBox,BSD-1-Clause,2017-06-01 16:59:24.000000,2020-11-24 17:57:08.000000,2020-08-25 09:26:27.000000,249,12.0,72.0,1203,1121.0,MLBox is a powerful Automated Machine Learning python library.,9.0,20,False,2020-08-25 09:32:37.000000,0.8.5,21.0,mlbox,,,,,20.0,20.0,https://pypi.org/project/mlbox,2020-08-25 09:32:37.000000,,753.0,753.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n583,datatable,h2oai/datatable,,data-containers,https://github.com/h2oai/datatable,https://github.com/h2oai/datatable,MPL-2.0,2017-03-03 02:32:59.000000,2021-03-31 20:14:22.000000,2021-03-31 16:52:25.000000,98,125.0,1125.0,1178,,A Python package for manipulating 2-dimensional tabular data structures.,28.0,20,True,2020-12-10 09:10:50.000000,0.11.1,15.0,datatable,,,,,6.0,,https://pypi.org/project/datatable,2020-12-10 08:04:03.000000,6.0,6771.0,6792.0,,,,,,,,3.0,966.0,,,,,,,,,,,,,,,,,,,,,,\n584,CausalNex,quantumblacklabs/causalnex,,interpretability,https://github.com/quantumblacklabs/causalnex,https://github.com/quantumblacklabs/causalnex,Apache-2.0,2019-12-12 15:26:09.000000,2021-03-11 21:00:54.000000,2021-03-11 20:50:18.000000,114,33.0,37.0,1049,106.0,A Python library that helps data scientists to infer causation rather than observing correlation.,17.0,20,True,2021-03-11 19:11:06.000000,0.9.2,14.0,causalnex,,,,\"['pytorch', 'sklearn']\",11.0,11.0,https://pypi.org/project/causalnex,2021-03-11 19:11:06.000000,,1810.0,1810.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n585,Haiku,deepmind/dm-haiku,,ml-frameworks,https://github.com/deepmind/dm-haiku,https://github.com/deepmind/dm-haiku,Apache-2.0,2020-02-18 07:14:02.000000,2021-04-01 12:46:48.000000,2021-04-01 12:46:03.000000,69,19.0,57.0,1027,519.0,JAX-based neural network library.,40.0,20,True,2020-11-24 11:25:05.000000,0.0.3,5.0,,,,,,75.0,75.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n586,Sockeye,awslabs/sockeye,,nlp,https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30.000000,2021-03-31 09:08:49.000000,2021-03-24 19:30:55.000000,294,20.0,227.0,992,743.0,Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet.,52.0,20,True,2021-02-08 10:02:02.000000,2.3.10,62.0,sockeye,,,,['mxnet'],2.0,,https://pypi.org/project/sockeye,2021-02-08 10:02:02.000000,2.0,324.0,324.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n587,TabNet,dreamquark-ai/tabnet,,pytorch-utils,https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000000,2021-03-31 18:20:25.000000,2021-03-01 11:50:35.000000,176,34.0,107.0,905,168.0,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,18.0,20,True,2021-02-02 08:05:11.000000,3.1.1,17.0,pytorch-tabnet,,,,['pytorch'],0.0,,https://pypi.org/project/pytorch-tabnet,2021-02-02 08:05:11.000000,0.0,3282.0,3282.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n588,keras-ocr,faustomorales/keras-ocr,,ocr,https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50.000000,2021-03-31 15:57:11.000000,2021-03-31 14:26:39.000000,197,37.0,97.0,804,167.0,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,10.0,20,True,2020-11-26 17:19:39.000000,0.8.6,26.0,keras-ocr,,,,['tensorflow'],2.0,,https://pypi.org/project/keras-ocr,2020-11-26 17:19:39.000000,2.0,1166.0,5119.0,,,,,,,,3.0,27677.0,,,,,,,,,,,,,,,,,,,,,,\n589,DALEX,ModelOriented/DALEX,,interpretability,https://github.com/ModelOriented/DALEX,https://github.com/ModelOriented/DALEX,GPL-3.0,2018-02-18 03:24:12.000000,2021-03-31 18:20:37.000000,2021-03-31 08:36:22.000000,111,12.0,258.0,804,544.0,moDel Agnostic Language for Exploration and eXplanation.,17.0,20,False,2021-02-19 15:24:01.000000,1.0.1,19.0,dalex,,,,,11.0,11.0,https://pypi.org/project/dalex,2021-02-19 15:24:01.000000,0.0,2258.0,2258.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n590,Explainability 360,Trusted-AI/AIX360,,interpretability,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48.000000,2020-12-04 16:51:14.000000,2020-12-04 16:49:39.000000,170,26.0,19.0,796,305.0,Interpretability and explainability of data and machine learning models.,27.0,20,True,2020-10-28 09:32:21.000000,0.2.1,4.0,aix360,,,,,15.0,14.0,https://pypi.org/project/aix360,2020-10-28 09:18:17.000000,1.0,369.0,369.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n591,nude.py,hhatto/nude.py,,image,https://github.com/hhatto/nude.py,https://github.com/hhatto/nude.py,MIT,2013-06-09 06:55:55.000000,2020-11-23 13:49:32.000000,2020-11-23 13:49:02.000000,131,6.0,2.0,795,79.0,Nudity detection with Python.,12.0,20,True,2020-11-23 13:49:17.000000,0.5.1,10.0,nudepy,,,,,140.0,122.0,https://pypi.org/project/nudepy,2020-11-23 13:49:17.000000,18.0,1309.0,1309.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n592,RecBole,RUCAIBox/RecBole,,recommender-systems,https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000000,2021-04-01 06:28:20.000000,2021-04-01 06:28:20.000000,113,28.0,79.0,786,2958.0,\"A unified, comprehensive and efficient recommendation library.\",36.0,20,True,2021-03-22 14:57:41.000000,0.2.1,5.0,recbole,aibox/recbole,,,['pytorch'],,,https://pypi.org/project/recbole,2021-03-22 14:22:38.000000,,261.0,313.0,https://anaconda.org/aibox/recbole,2021-03-22 14:53:52.593000,261.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n593,rows,turicas/rows,,data-loading,https://github.com/turicas/rows,https://github.com/turicas/rows,LGPL-3.0,2014-05-07 05:43:11.000000,2021-03-11 16:51:43.000000,2021-03-11 16:51:28.000000,136,160.0,149.0,744,738.0,\"A common, beautiful interface to tabular data, no matter the format.\",30.0,20,False,2019-02-14 21:20:15.000000,0.4.1,9.0,rows,,,,,170.0,118.0,https://pypi.org/project/rows,2019-02-14 21:12:03.000000,52.0,451.0,451.0,,,,,,,,3.0,37.0,,,,,,,,,,,,,,,,,,,,,,\n594,AstroML,astroML/astroML,,others,https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50.000000,2021-03-16 19:57:41.000000,2021-03-16 19:57:41.000000,252,48.0,84.0,735,,\"Machine learning, statistics, and data mining for astronomy and astrophysics.\",30.0,20,True,2019-10-02 06:32:58.000000,0.4.1,10.0,astroML,conda-forge/astroml,,,['sklearn'],29.0,,https://pypi.org/project/astroML,2020-03-23 23:20:49.000000,29.0,600.0,1112.0,https://anaconda.org/conda-forge/astroml,2020-02-16 04:18:54.678000,22553.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n595,finetune,IndicoDataSolutions/finetune,,nlp,https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16.000000,2021-03-31 13:00:10.000000,2021-03-19 14:30:51.000000,68,20.0,115.0,636,1201.0,Scikit-learn style model finetuning for NLP.,19.0,20,True,2020-01-10 22:42:24.000000,0.8.6,37.0,finetune,,,,\"['tensorflow', 'sklearn']\",11.0,9.0,https://pypi.org/project/finetune,2020-01-10 22:42:24.000000,2.0,149.0,149.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n596,alibi-detect,SeldonIO/alibi-detect,,others,https://github.com/SeldonIO/alibi-detect,https://github.com/SeldonIO/alibi-detect,Apache-2.0,2019-10-07 13:29:13.000000,2021-03-31 01:11:04.000000,2021-03-29 10:15:05.000000,63,39.0,51.0,627,327.0,\"Algorithms for outlier and adversarial instance detection, concept drift and metrics.\",7.0,20,True,2021-03-05 18:02:07.000000,0.5.1,11.0,alibi-detect,,,,,21.0,20.0,https://pypi.org/project/alibi-detect,2021-03-05 18:01:21.000000,1.0,1048.0,1048.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n597,pdpipe,pdpipe/pdpipe,,data-pipelines,https://github.com/pdpipe/pdpipe,https://github.com/pdpipe/pdpipe,MIT,2017-01-24 20:37:22.000000,2021-02-23 19:36:13.000000,2021-02-23 18:30:54.000000,27,6.0,15.0,594,342.0,Easy pipelines for pandas DataFrames.,8.0,20,True,2021-02-23 19:40:09.000000,0.0.51,49.0,pdpipe,,,,['pandas'],29.0,29.0,https://pypi.org/project/pdpipe,2020-11-09 09:32:37.000000,0.0,712.0,712.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n598,Torchbearer,pytorchbearer/torchbearer,,ml-frameworks,https://github.com/pytorchbearer/torchbearer,https://github.com/pytorchbearer/torchbearer,MIT,2018-03-12 16:30:42.000000,2021-03-26 19:56:57.000000,2021-03-26 19:56:57.000000,64,8.0,237.0,590,430.0,torchbearer: A model fitting library for PyTorch.,13.0,20,True,2020-01-31 14:07:22.000000,0.5.3,24.0,torchbearer,,,,['pytorch'],47.0,41.0,https://pypi.org/project/torchbearer,2020-01-31 14:05:56.000000,6.0,623.0,623.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n599,baikal,alegonz/baikal,,others,https://github.com/alegonz/baikal,https://github.com/alegonz/baikal,BSD-3-Clause,2019-01-21 12:59:02.000000,2021-03-31 19:26:32.000000,2021-01-30 09:29:45.000000,28,6.0,12.0,572,400.0,A graph-based functional API for building complex scikit-learn pipelines.,2.0,20,True,2020-11-15 13:40:18.000000,0.4.2,7.0,baikal,conda-forge/cython-blis,,,,3.0,3.0,https://pypi.org/project/baikal,2020-11-15 13:40:18.000000,,23.0,18929.0,https://anaconda.org/conda-forge/cython-blis,2021-01-31 09:13:47.685000,472666.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n600,lets-plot,JetBrains/lets-plot,,data-viz,https://github.com/JetBrains/lets-plot,https://github.com/JetBrains/lets-plot,MIT,2019-03-20 16:13:03.000000,2021-03-31 21:38:19.000000,2021-03-31 21:38:15.000000,15,63.0,90.0,531,1906.0,An open-source plotting library for statistical data.,15.0,20,True,2021-03-17 14:52:16.000000,2.0.1,30.0,lets-plot,,,,,7.0,7.0,https://pypi.org/project/lets-plot,2021-03-17 14:43:58.000000,,1922.0,1922.0,,,,,,,,3.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n601,Labml,lab-ml/labml,,ml-experiments,https://github.com/lab-ml/labml,https://github.com/lab-ml/labml,MIT,2018-11-16 09:34:48.000000,2021-03-31 03:25:25.000000,2021-03-31 03:25:14.000000,42,,6.0,512,959.0,Monitor deep learning model training and hardware usage from your mobile phone.,6.0,20,True,2021-03-27 06:29:54.000000,0.4.110,87.0,labml,,,,,22.0,22.0,https://pypi.org/project/labml,2021-03-27 06:29:54.000000,0.0,434.0,434.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n602,Caer,jasmcaus/caer,,image,https://github.com/jasmcaus/caer,https://github.com/jasmcaus/caer,MIT,2020-08-06 18:36:14.000000,2021-03-29 15:03:43.000000,2021-03-20 18:11:04.000000,62,5.0,9.0,464,4886.0,\"A lightweight Computer Vision library. Scale your models, not boilerplate.\",5.0,20,True,2021-01-28 14:06:10.000000,1.9.8,109.0,caer,,,https://caer.rtfd.io,,0.0,,https://pypi.org/project/caer,2021-01-28 14:06:10.000000,0.0,2389.0,2390.0,,,,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,,,,,\n603,Poutyne,GRAAL-Research/poutyne,,pytorch-utils,https://github.com/GRAAL-Research/poutyne,https://github.com/GRAAL-Research/poutyne,LGPL-3.0,2017-12-07 18:30:17.000000,2021-03-29 18:57:45.000000,2021-03-24 15:11:22.000000,49,7.0,35.0,463,530.0,A simplified framework and utilities for PyTorch.,15.0,20,False,2021-03-05 18:27:25.000000,1.3.1,20.0,poutyne,,,,['pytorch'],60.0,56.0,https://pypi.org/project/poutyne,2021-03-05 18:27:57.000000,4.0,584.0,584.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n604,scikit-lego,koaning/scikit-lego,,sklearn-utils,https://github.com/koaning/scikit-lego,https://github.com/koaning/scikit-lego,MIT,2019-01-21 15:30:15.000000,2021-03-30 10:13:24.000000,2021-03-30 10:13:20.000000,70,21.0,188.0,453,,Extra blocks for scikit-learn pipelines.,45.0,20,True,2021-03-16 21:20:30.000000,0.6.5,31.0,scikit-lego,conda-forge/scikit-lego,,,['sklearn'],20.0,20.0,https://pypi.org/project/scikit-lego,2021-03-16 21:20:30.000000,0.0,737.0,1270.0,https://anaconda.org/conda-forge/scikit-lego,2020-11-02 09:40:04.581000,9594.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n605,explainerdashboard,oegedijk/explainerdashboard,,interpretability,https://github.com/oegedijk/explainerdashboard,https://github.com/oegedijk/explainerdashboard,MIT,2019-10-30 08:26:16.000000,2021-03-22 19:12:21.000000,2021-03-22 18:53:59.000000,49,8.0,77.0,416,601.0,Quickly build Explainable AI dashboards that show the inner workings of so-called blackbox machine learning models.,8.0,20,True,2021-03-22 19:11:53.000000,0.3.3.1,72.0,explainerdashboard,,,,,12.0,12.0,https://pypi.org/project/explainerdashboard,2021-03-22 19:12:21.000000,,1657.0,1657.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n606,Neuraxle,Neuraxio/Neuraxle,,hyperopt,https://github.com/Neuraxio/Neuraxle,https://github.com/Neuraxio/Neuraxle,Apache-2.0,2019-03-26 21:01:54.000000,2021-03-30 14:59:37.000000,2021-03-30 14:59:37.000000,41,130.0,145.0,385,1411.0,A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right..,7.0,20,True,2021-02-25 16:05:06.000000,0.5.7,20.0,neuraxle,,,,,18.0,18.0,https://pypi.org/project/neuraxle,2021-02-25 16:00:44.000000,0.0,143.0,143.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n607,optunity,claesenm/optunity,,hyperopt,https://github.com/claesenm/optunity,https://github.com/claesenm/optunity,BSD-3-Clause,2014-05-28 17:29:11.000000,2020-05-11 14:32:39.000000,2020-05-11 14:32:38.000000,72,46.0,48.0,366,782.0,optimization routines for hyperparameter tuning.,9.0,20,True,2015-09-30 05:02:00.000000,1.1.1,6.0,optunity,,,,,82.0,58.0,https://pypi.org/project/optunity,2015-09-30 05:02:00.000000,24.0,5819.0,5819.0,,,,,,,,3.0,62.0,,,,,,,,,,,,,,,,,,,,,,\n608,skope-rules,scikit-learn-contrib/skope-rules,,sklearn-utils,https://github.com/scikit-learn-contrib/skope-rules,https://github.com/scikit-learn-contrib/skope-rules,BSD-1-Clause,2018-02-18 13:42:47.000000,2020-12-11 14:42:41.000000,2020-10-23 14:31:57.000000,61,23.0,5.0,364,247.0,machine learning with logical rules in Python.,18.0,20,False,2020-12-11 09:37:02.000000,1.0.1,4.0,skope-rules,,,,['sklearn'],33.0,27.0,https://pypi.org/project/skope-rules,2020-01-25 12:01:37.000000,6.0,8521.0,8521.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n609,BioPandas,rasbt/biopandas,,others,https://github.com/rasbt/biopandas,https://github.com/rasbt/biopandas,BSD-3-Clause,2015-11-21 00:00:14.000000,2021-03-23 00:50:44.000000,2021-03-23 00:50:44.000000,76,15.0,20.0,331,,Working with molecular structures in pandas DataFrames.,7.0,20,True,2021-03-03 00:55:13.000000,0.2.8,12.0,biopandas,conda-forge/biopandas,,,['pandas'],59.0,53.0,https://pypi.org/project/biopandas,2021-03-03 00:55:13.000000,6.0,167.0,1528.0,https://anaconda.org/conda-forge/biopandas,2020-08-08 06:33:59.197000,70792.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n610,MedPy,loli/medpy,,medical-data,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34.000000,2020-05-01 15:25:39.000000,2020-05-01 15:25:38.000000,106,9.0,66.0,325,324.0,Medical image processing in Python.,13.0,20,False,2019-02-14 17:12:59.000000,0.4.0,6.0,MedPy,,,,,273.0,243.0,https://pypi.org/project/MedPy,2019-02-14 17:12:59.000000,30.0,2264.0,2264.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n611,joypy,sbebo/joypy,,data-viz,https://github.com/sbebo/joypy,https://github.com/sbebo/joypy,MIT,2017-07-30 17:18:50.000000,2020-12-28 14:07:53.760000,2020-12-28 11:56:12.000000,32,6.0,34.0,324,108.0,Joyplots in Python with matplotlib & pandas.,5.0,20,True,2020-12-28 11:54:36.000000,0.2.4,16.0,joypy,conda-forge/joypy,,,,75.0,69.0,https://pypi.org/project/joypy,2020-12-28 11:54:36.000000,6.0,1844.0,2196.0,https://anaconda.org/conda-forge/joypy,2020-12-28 14:07:53.760000,8814.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n612,DESlib,scikit-learn-contrib/DESlib,,sklearn-utils,https://github.com/scikit-learn-contrib/DESlib,https://github.com/scikit-learn-contrib/DESlib,BSD-3-Clause,2017-12-08 22:49:49.000000,2021-03-29 04:39:47.000000,2021-03-29 03:43:54.000000,73,14.0,124.0,318,266.0,A Python library for dynamic classifier and ensemble selection.,12.0,20,True,2021-02-08 06:29:25.000000,0.3.5,4.0,deslib,,,,['sklearn'],15.0,15.0,https://pypi.org/project/deslib,2021-02-08 06:29:25.000000,0.0,149.0,149.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n613,scikit-rebate,EpistasisLab/scikit-rebate,,others,https://github.com/EpistasisLab/scikit-rebate,https://github.com/EpistasisLab/scikit-rebate,MIT,2016-09-19 13:36:17.000000,2021-03-20 17:11:52.000000,2021-02-15 17:10:59.000000,58,13.0,18.0,314,283.0,\"A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for..\",13.0,20,True,2017-04-12 16:12:01.000000,0.3.4,13.0,skrebate,,,,['sklearn'],186.0,124.0,https://pypi.org/project/skrebate,2021-03-20 17:11:52.000000,62.0,721.0,721.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n614,sklearn-evaluation,edublancas/sklearn-evaluation,,interpretability,https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2015-09-04 16:33:42.000000,2021-03-28 18:20:55.000000,2021-03-28 18:13:37.000000,27,9.0,28.0,297,516.0,\"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook..\",5.0,20,True,2021-03-28 18:21:46.000000,0.5.5,17.0,sklearn-evaluation,,,,['sklearn'],29.0,27.0,https://pypi.org/project/sklearn-evaluation,2021-03-28 18:20:55.000000,2.0,283.0,283.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n615,SUOD,yzhao062/SUOD,,others,https://github.com/yzhao062/SUOD,https://github.com/yzhao062/SUOD,BSD-2-Clause,2019-11-20 00:23:54.000000,2021-01-19 14:42:08.000000,2021-01-19 14:42:01.000000,29,3.0,2.0,250,134.0,(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection).,1.0,20,True,2021-01-15 02:12:04.000000,0.0.6,7.0,suod,,,,,297.0,297.0,https://pypi.org/project/suod,2021-01-15 02:12:04.000000,,4992.0,4992.0,,,,,,,,3.0,,,-2.0,,,,,,,,,,,,,,,,,,,,\n616,EarthPy,earthlab/earthpy,,geospatial-data,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000000,2021-03-30 03:20:31.000000,2021-03-10 19:15:27.000000,108,19.0,201.0,242,,A package built to support working with spatial data using open source python.,39.0,20,True,2020-06-18 23:58:08.000000,0.9.2,22.0,earthpy,conda-forge/earthpy,,,,90.0,84.0,https://pypi.org/project/earthpy,2020-06-18 23:58:08.000000,6.0,1163.0,2415.0,https://anaconda.org/conda-forge/earthpy,2020-06-19 15:23:44.425000,30054.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n617,ivis,beringresearch/ivis,,data-viz,https://github.com/beringresearch/ivis,https://github.com/beringresearch/ivis,Apache-2.0,2018-08-13 08:31:01.000000,2021-03-27 21:35:01.000000,2021-03-27 21:34:39.000000,21,4.0,41.0,224,521.0,Dimensionality reduction in very large datasets using Siamese Networks.,7.0,20,True,2021-01-06 17:09:59.000000,2.0.1,27.0,ivis,,,,['tensorflow'],14.0,14.0,https://pypi.org/project/ivis,2021-01-06 17:07:15.000000,0.0,194.0,194.0,,,,,,,,3.0,,,2.0,,,,,,,,,,,,,,,,,,,,\n618,Auto ViML,AutoViML/Auto_ViML,,hyperopt,https://github.com/AutoViML/Auto_ViML,https://github.com/AutoViML/Auto_ViML,Apache-2.0,2019-06-10 13:09:15.000000,2021-03-21 12:25:19.000000,2021-03-21 12:20:51.000000,53,3.0,14.0,220,287.0,Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome...,6.0,20,True,2021-03-20 02:12:20.000000,0.1.679,129.0,autoviml,,,,,13.0,13.0,https://pypi.org/project/autoviml,2021-03-21 12:25:19.000000,0.0,838.0,838.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n619,fletcher,xhochy/fletcher,,data-containers,https://github.com/xhochy/fletcher,https://github.com/xhochy/fletcher,MIT,2018-03-04 16:44:22.000000,2021-02-18 14:46:18.000000,2021-02-18 14:46:18.000000,33,34.0,40.0,213,520.0,Pandas ExtensionDType/Array backed by Apache Arrow.,24.0,20,True,2021-01-17 20:11:01.000000,0.7.2,16.0,fletcher,conda-forge/fletcher,,,['pandas'],3.0,3.0,https://pypi.org/project/fletcher,2021-01-17 20:11:01.000000,0.0,145.0,795.0,https://anaconda.org/conda-forge/fletcher,2021-01-17 21:23:17.140000,21480.0,,,,,3.0,12.0,,,,,,,,,,,,,,,,,,,,,,\n620,scikit-posthocs,maximtrp/scikit-posthocs,,probabilistics,https://github.com/maximtrp/scikit-posthocs,https://github.com/maximtrp/scikit-posthocs,MIT,2017-06-22 19:41:37.000000,2021-03-17 06:05:27.000000,2021-03-15 16:05:26.000000,21,4.0,36.0,189,453.0,Multiple Pairwise Comparisons (Post Hoc) Tests in Python.,8.0,20,True,2021-03-17 06:05:28.000000,0.6.7,21.0,scikit-posthocs,,,,['sklearn'],6.0,,https://pypi.org/project/scikit-posthocs,2021-03-15 16:05:51.000000,6.0,5432.0,5432.0,,,,,,,,3.0,19.0,,,,,,,,,,,,,,,,,,,,,,\n621,PyStan,stan-dev/pystan,,probabilistics,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,ISC,2017-03-06 19:56:42.094000,2021-03-29 19:06:53.000000,2021-03-29 19:06:53.000000,13,7.0,105.0,58,,\"PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io.\",5.0,20,False,2013-09-28 22:06:09.000000,0.2.2,58.0,pystan,conda-forge/pystan,,,,342.0,,https://pypi.org/project/pystan,2021-02-25 11:06:51.000000,342.0,403257.0,422279.0,https://anaconda.org/conda-forge/pystan,2020-08-25 22:40:14.631000,932111.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n622,AdaBound,Luolc/AdaBound,,pytorch-utils,https://github.com/Luolc/AdaBound,https://github.com/Luolc/AdaBound,Apache-2.0,2019-02-15 18:05:20.000000,2019-03-06 17:01:52.000000,2019-03-06 17:01:45.000000,323,16.0,7.0,2836,27.0,An optimizer that trains as fast as Adam and as good as SGD.,2.0,19,False,2019-03-06 16:44:42.000000,0.0.5,4.0,adabound,,,,['pytorch'],117.0,105.0,https://pypi.org/project/adabound,2019-02-26 04:23:45.000000,12.0,479.0,479.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n623,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,,graph,https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16.000000,2021-04-01 06:01:01.000000,2021-03-29 19:01:19.000000,370,41.0,104.0,2729,143.0,Generate embeddings from large-scale graph-structured data.,20.0,19,True,2019-10-14 16:45:11.000000,1.0.0,3.0,torchbiggraph,,,,['pytorch'],4.0,,https://pypi.org/project/torchbiggraph,2019-05-01 21:31:13.000000,4.0,299.0,303.0,,,,,,,,3.0,112.0,,,,,,,,,,,,,,,,,,,,,,\n624,tf-quant-finance,google/tf-quant-finance,,financial-data,https://github.com/google/tf-quant-finance,https://github.com/google/tf-quant-finance,Apache-2.0,2019-07-24 16:09:50.000000,2021-04-01 15:09:48.000000,2021-04-01 15:09:42.000000,318,12.0,11.0,2551,670.0,High-performance TensorFlow library for quantitative finance.,30.0,19,True,,,21.0,tf-quant-finance,,,,['tensorflow'],4.0,4.0,https://pypi.org/project/tf-quant-finance,2021-02-01 16:10:08.000000,0.0,90.0,90.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n625,image-match,EdjoLabs/image-match,,image,https://github.com/EdjoLabs/image-match,https://github.com/EdjoLabs/image-match,Apache-2.0,2016-03-08 18:16:45.000000,2021-01-04 18:36:01.000000,2021-01-04 18:35:59.000000,371,54.0,47.0,2538,404.0,Quickly search over billions of images.,17.0,19,True,2017-02-13 14:54:48.000000,1.1.2,10.0,image_match,,,,,6.0,,https://pypi.org/project/image_match,2017-02-13 14:54:48.000000,6.0,270.0,270.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n626,StreamAlert,airbnb/streamalert,,others,https://github.com/airbnb/streamalert,https://github.com/airbnb/streamalert,Apache-2.0,2017-01-22 01:10:56.000000,2021-03-29 17:53:54.000000,2021-02-10 05:03:05.000000,289,90.0,247.0,2495,1893.0,\"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data..\",31.0,19,True,2020-10-05 21:50:56.000000,3.4.1,27.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n627,DeepWalk,phanein/deepwalk,,graph,https://github.com/phanein/deepwalk,https://github.com/phanein/deepwalk,GPL-3.0,2014-08-23 03:38:20.000000,2020-04-02 01:05:36.000000,2020-04-02 01:05:35.000000,757,29.0,80.0,2210,46.0,DeepWalk - Deep Learning for Graphs.,10.0,19,False,2018-04-29 21:05:18.000000,1.0.3,4.0,deepwalk,,,,,43.0,36.0,https://pypi.org/project/deepwalk,2018-04-29 21:05:18.000000,7.0,801.0,801.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n628,Apache Singa,apache/singa,,distributed-ml,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000000,2021-03-27 05:16:40.000000,2021-01-15 13:09:22.000000,607,40.0,35.0,2187,2265.0,a distributed deep learning platform.,70.0,19,True,2020-04-21 08:01:08.000000,3.0.0,14.0,,nusdbsystem/singa,apache/singa,,,1.0,1.0,,,,,7.0,https://anaconda.org/nusdbsystem/singa,2021-01-20 03:00:28.355000,263.0,https://hub.docker.com/r/apache/singa,2019-06-04 04:32:52.195956,2.0,165.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n629,Texthero,jbesomi/texthero,,nlp,https://github.com/jbesomi/texthero,https://github.com/jbesomi/texthero,MIT,2020-04-06 15:16:05.000000,2020-12-09 16:49:27.000000,2020-11-03 07:58:36.000000,185,73.0,48.0,2132,267.0,\"Text preprocessing, representation and visualization from zero to hero.\",18.0,19,True,2020-07-06 20:32:28.000000,1.0.9,9.0,texthero,,,,,0.0,,https://pypi.org/project/texthero,2020-07-06 20:29:25.000000,0.0,2304.0,2309.0,,,,,,,,3.0,63.0,,,,,,,,,,,,,,,,,,,,,,\n630,HiPlot,facebookresearch/hiplot,,data-viz,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41.000000,2021-04-01 07:10:41.000000,2021-04-01 06:59:45.000000,92,10.0,53.0,2060,127.0,HiPlot makes understanding high dimensional data easy.,6.0,19,True,2021-03-24 11:12:36.000000,0.1.24,48.0,hiplot,conda-forge/hiplot,,,,2.0,2.0,https://pypi.org/project/hiplot,2021-04-01 07:10:41.000000,0.0,1912.0,5529.0,https://anaconda.org/conda-forge/hiplot,2021-03-24 13:41:04.005000,50640.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n631,cuML,rapidsai/cuml,,gpu-utilities,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000000,2021-04-01 15:15:28.000000,2021-04-01 15:11:08.000000,319,629.0,1057.0,2058,,cuML - RAPIDS Machine Learning Library.,123.0,19,True,2021-02-24 21:41:14.000000,0.18.0,8.0,cuml,,,,,0.0,,https://pypi.org/project/cuml,2020-06-01 20:09:10.000000,0.0,298.0,298.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n632,Coach,IntelLabs/coach,,reinforcement-learning,https://github.com/IntelLabs/coach,https://github.com/IntelLabs/coach,Apache-2.0,2017-10-01 19:27:43.000000,2021-03-22 10:33:35.000000,2021-02-09 13:54:44.000000,377,80.0,182.0,1949,513.0,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,34.0,19,True,2019-10-10 14:17:10.000000,1.0.1,13.0,rl_coach,,,,,2.0,,https://pypi.org/project/rl_coach,2019-10-10 14:17:10.000000,2.0,112.0,112.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n633,checklist,marcotcr/checklist,,interpretability,https://github.com/marcotcr/checklist,https://github.com/marcotcr/checklist,MIT,2020-03-09 17:18:49.000000,2021-03-31 23:37:08.000000,2021-03-30 06:59:43.000000,114,4.0,64.0,1306,224.0,Beyond Accuracy: Behavioral Testing of NLP models with CheckList.,10.0,19,True,2020-09-21 18:30:40.000000,0.0.10,9.0,checklist,,,,['jupyter'],8.0,6.0,https://pypi.org/project/checklist,2020-09-21 18:30:40.000000,2.0,228.0,228.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n634,EfficientNets,rwightman/gen-efficientnet-pytorch,,pytorch-utils,https://github.com/rwightman/gen-efficientnet-pytorch,https://github.com/rwightman/gen-efficientnet-pytorch,Apache-2.0,2019-05-11 19:35:56.000000,2020-11-30 05:51:08.000000,2020-11-30 05:49:27.000000,175,,48.0,1291,106.0,\"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.\",5.0,19,True,2020-08-20 19:55:21.000000,1.0.0,9.0,geffnet,,,,['pytorch'],42.0,42.0,https://pypi.org/project/geffnet,2020-08-20 19:55:21.000000,0.0,1073.0,1073.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n635,NiftyNet,NifTK/NiftyNet,,medical-data,https://github.com/NifTK/NiftyNet,https://github.com/NifTK/NiftyNet,Apache-2.0,2017-08-30 07:55:43.000000,2020-04-21 19:54:52.000000,2020-04-21 19:54:51.000000,385,102.0,224.0,1277,2848.0,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,58.0,19,True,2019-10-10 10:59:33.000000,0.6.0,11.0,niftynet,,,,['tensorflow'],1.0,,https://pypi.org/project/niftynet,2019-10-10 10:59:33.000000,1.0,102.0,102.0,,,,,,,,3.0,,,-2.0,,,,,,,,,,,,,,,,,,,,\n636,DLTK,DLTK/DLTK,,medical-data,https://github.com/DLTK/DLTK,https://github.com/DLTK/DLTK,Apache-2.0,2017-05-02 15:40:36.000000,2021-01-15 01:31:30.000000,2019-01-21 14:01:28.000000,386,11.0,24.0,1253,379.0,Deep Learning Toolkit for Medical Image Analysis.,9.0,19,False,2018-02-26 17:43:57.000000,0.2.1,5.0,dltk,,,,['tensorflow'],20.0,20.0,https://pypi.org/project/dltk,2018-02-26 17:43:57.000000,,73.0,73.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n637,Higher,facebookresearch/higher,,pytorch-utils,https://github.com/facebookresearch/higher,https://github.com/facebookresearch/higher,Apache-2.0,2019-09-06 18:58:36.000000,2021-03-02 09:56:03.000000,2021-03-02 09:56:03.000000,79,32.0,48.0,1080,29.0,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,8.0,19,True,2020-07-14 12:20:32.000000,0.2.1,2.0,higher,,,,['pytorch'],42.0,42.0,https://pypi.org/project/higher,2020-07-14 12:20:32.000000,0.0,7807.0,7807.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n638,TaskTiger,closeio/tasktiger,,data-pipelines,https://github.com/closeio/tasktiger,https://github.com/closeio/tasktiger,MIT,2015-05-14 00:26:32.000000,2021-03-29 20:44:10.000000,2021-03-29 20:41:35.000000,60,37.0,31.0,1060,262.0,Python task queue using Redis.,21.0,19,True,2021-03-29 20:44:54.000000,0.13,24.0,tasktiger,,,,,38.0,20.0,https://pypi.org/project/tasktiger,2021-03-29 20:43:36.000000,18.0,138.0,138.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n639,Skater,oracle/Skater,,interpretability,https://github.com/oracle/Skater,https://github.com/oracle/Skater,UPL-1.0,2017-01-26 05:45:42.000000,2020-11-01 15:57:12.273000,2020-06-29 20:07:12.000000,163,69.0,97.0,973,1101.0,Python Library for Model Interpretation/Explanations.,34.0,19,False,2018-09-21 07:03:32.000000,1.1.2,23.0,skater,conda-forge/skater,,,,,,https://pypi.org/project/skater,2018-09-21 07:03:32.000000,,4003.0,4791.0,https://anaconda.org/conda-forge/skater,2020-11-01 15:57:12.273000,36288.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n640,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,,pytorch-utils,https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000000,2021-03-31 19:32:48.000000,2021-03-31 19:32:44.000000,73,3.0,16.0,961,655.0,PyTorch extensions for fast R&D prototyping and Kaggle farming.,5.0,19,True,2021-03-03 09:36:08.000000,0.4.2,20.0,pytorch_toolbelt,,,,['pytorch'],2.0,,https://pypi.org/project/pytorch_toolbelt,2021-03-02 20:57:35.000000,2.0,5393.0,5393.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n641,gplearn,trevorstephens/gplearn,,others,https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14.000000,2020-02-15 08:12:38.000000,2020-02-15 08:12:17.000000,158,33.0,117.0,920,146.0,\"Genetic Programming in Python, with a scikit-learn inspired API.\",10.0,19,False,2019-06-01 02:04:52.000000,0.4.1,5.0,gplearn,,,,['sklearn'],159.0,145.0,https://pypi.org/project/gplearn,2019-06-01 02:04:52.000000,14.0,808.0,808.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n642,pyts,johannfaouzi/pyts,,time-series-data,https://github.com/johannfaouzi/pyts,https://github.com/johannfaouzi/pyts,BSD-3-Clause,2017-07-31 09:23:16.000000,2021-04-01 12:14:04.000000,2021-03-31 07:40:39.000000,98,26.0,19.0,910,,A Python package for time series classification.,7.0,19,True,2020-03-21 12:41:33.000000,0.11.0,17.0,pyts,conda-forge/pyts,,,,97.0,93.0,https://pypi.org/project/pyts,2020-03-21 12:36:40.000000,4.0,2382.0,2719.0,https://anaconda.org/conda-forge/pyts,2020-03-21 14:08:24.734000,6759.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n643,geoplotlib,andrea-cuttone/geoplotlib,,geospatial-data,https://github.com/andrea-cuttone/geoplotlib,https://github.com/andrea-cuttone/geoplotlib,MIT,2015-02-24 13:13:07.000000,2020-04-10 20:00:31.000000,2019-05-06 07:06:50.000000,146,24.0,18.0,908,159.0,python toolbox for visualizing geographical data and making maps.,8.0,19,False,2016-07-27 14:55:01.000000,0.3.2,4.0,geoplotlib,,,,,103.0,92.0,https://pypi.org/project/geoplotlib,2016-07-27 14:55:01.000000,11.0,691.0,691.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n644,Databolt Flow,d6t/d6tflow,,data-pipelines,https://github.com/d6t/d6tflow,https://github.com/d6t/d6tflow,MIT,2019-02-03 01:51:22.000000,2021-04-01 03:18:11.000000,2021-04-01 03:18:11.000000,68,8.0,12.0,904,176.0,Python library for building highly effective data science workflows.,12.0,19,True,2020-12-19 22:37:20.000000,0.2.2,19.0,d6tflow,,,,,13.0,13.0,https://pypi.org/project/d6tflow,2020-12-19 22:37:20.000000,,71.0,71.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n645,pytorch-forecasting,jdb78/pytorch-forecasting,,time-series-data,https://github.com/jdb78/pytorch-forecasting,https://github.com/jdb78/pytorch-forecasting,MIT,2020-07-03 13:05:24.000000,2021-03-31 09:38:34.000000,2021-03-31 09:38:26.000000,101,32.0,136.0,884,787.0,Time series forecasting with PyTorch.,16.0,19,True,2021-03-07 14:35:09.000000,0.8.4,25.0,pytorch-forecasting,,,,,,,https://pypi.org/project/pytorch-forecasting,2021-03-07 14:35:09.000000,,3415.0,3415.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n646,mrq,pricingassistant/mrq,,data-pipelines,https://github.com/pricingassistant/mrq,https://github.com/pricingassistant/mrq,MIT,2014-02-13 09:32:40.000000,2021-03-31 18:42:38.000000,2020-12-13 18:58:15.000000,113,59.0,119.0,840,709.0,Mr. Queue - A distributed worker task queue in Python using Redis & gevent.,37.0,19,True,2018-08-31 16:03:04.000000,0.9.10,70.0,mrq,,,,,35.0,23.0,https://pypi.org/project/mrq,2018-08-31 16:03:04.000000,12.0,137.0,137.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n647,TFEncrypted,tf-encrypted/tf-encrypted,,privacy-ml,https://github.com/tf-encrypted/tf-encrypted,https://github.com/tf-encrypted/tf-encrypted,Apache-2.0,2018-03-21 18:22:13.000000,2020-11-19 15:48:03.000000,2020-08-19 16:56:56.000000,137,167.0,231.0,837,595.0,A Framework for Encrypted Machine Learning in TensorFlow.,28.0,19,True,2019-09-27 20:00:01.000000,0.5.9,35.0,tf-encrypted,,,,['tensorflow'],62.0,46.0,https://pypi.org/project/tf-encrypted,2019-10-21 18:05:53.000000,16.0,134.0,134.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n648,calamari,Calamari-OCR/calamari,,ocr,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,Apache-2.0,2018-03-20 15:22:29.000000,2021-04-01 07:08:57.000000,2021-03-27 13:13:47.000000,170,22.0,154.0,795,341.0,Line based ATR Engine based on OCRopy.,17.0,19,True,2021-03-20 20:48:12.000000,2.0.2,25.0,calamari_ocr,,,,,2.0,,https://pypi.org/project/calamari_ocr,2018-11-13 11:24:45.000000,2.0,350.0,350.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n649,TF Recommenders,tensorflow/recommenders,,recommender-systems,https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01.000000,2021-03-26 11:42:43.000000,2021-03-26 11:42:37.000000,88,51.0,62.0,768,,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,20.0,19,True,2021-01-21 00:51:17.000000,0.4.0,8.0,tensorflow-recommenders,,,,['tensorflow'],15.0,15.0,https://pypi.org/project/tensorflow-recommenders,2021-01-21 00:51:17.000000,,3277.0,3277.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n650,YouTokenToMe,vkcom/youtokentome,,nlp,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28.000000,2021-01-28 23:05:01.000000,2021-01-28 19:04:09.000000,46,20.0,22.0,730,79.0,Unsupervised text tokenizer focused on computational efficiency.,6.0,19,True,2020-02-13 09:57:47.000000,1.0.6,14.0,youtokentome,,,,,116.0,104.0,https://pypi.org/project/youtokentome,2020-02-12 18:24:46.000000,12.0,3453.0,3453.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n651,lightly,lightly-ai/lightly,,image,https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000000,2021-04-01 14:38:24.000000,2021-04-01 08:28:55.000000,36,28.0,88.0,694,389.0,A python library for self-supervised learning on images.,6.0,19,True,2021-04-01 08:51:34.000000,1.1.4,15.0,lightly,,,,['pytorch'],10.0,10.0,https://pypi.org/project/lightly,2021-03-23 09:21:12.000000,0.0,139.0,139.0,,,,,,,,3.0,,,2.0,,,,,,,,,,,,,,,,,,,,\n652,mlens,flennerhag/mlens,,others,https://github.com/flennerhag/mlens,https://github.com/flennerhag/mlens,MIT,2017-01-10 20:53:47.000000,2020-02-25 14:32:48.000000,2020-02-25 14:31:53.000000,87,8.0,73.0,681,879.0,ML-Ensemble high performance ensemble learning.,7.0,19,False,2018-10-30 22:34:35.000000,0.2.3,14.0,mlens,,,,,121.0,118.0,https://pypi.org/project/mlens,2018-10-30 22:30:43.000000,3.0,702.0,702.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n653,NearPy,pixelogik/NearPy,,nn-search,https://github.com/pixelogik/NearPy,https://github.com/pixelogik/NearPy,MIT,2013-04-25 09:10:26.000000,2020-02-17 20:24:08.000000,2018-10-21 17:54:28.000000,135,23.0,38.0,665,159.0,\"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..\",18.0,19,False,2016-09-27 13:04:44.000000,1.0.0,8.0,NearPy,,,,,67.0,51.0,https://pypi.org/project/NearPy,2016-09-27 13:03:12.000000,16.0,901.0,901.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n654,NGT,yahoojapan/NGT,,nn-search,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000000,2021-03-23 01:41:15.000000,2021-03-15 06:15:49.000000,70,8.0,72.0,642,127.0,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,11.0,19,True,2021-02-14 23:05:20.000000,1.13.4,48.0,ngt,,,,,6.0,,https://pypi.org/project/ngt,2020-09-23 06:52:45.000000,6.0,2311.0,2311.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n655,bambi,bambinos/bambi,,probabilistics,https://github.com/bambinos/bambi,https://github.com/bambinos/bambi,MIT,2016-05-16 03:21:00.000000,2021-04-01 03:58:02.000000,2021-03-17 14:23:34.000000,52,30.0,135.0,597,538.0,BAyesian Model-Building Interface (Bambi) in Python.,16.0,19,True,2021-03-08 08:38:10.000000,0.4.0,11.0,bambi,,,,,16.0,13.0,https://pypi.org/project/bambi,2021-03-08 08:38:10.000000,3.0,126.0,126.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n656,Objax,google/objax,,ml-frameworks,https://github.com/google/objax,https://github.com/google/objax,Apache-2.0,2020-08-20 06:20:40.000000,2021-04-01 00:14:18.000000,2021-04-01 00:09:28.000000,45,41.0,51.0,584,410.0,Objax is a machine learning framework that provides an Object Oriented layer for JAX.,20.0,19,True,2021-04-01 00:14:18.000000,1.4.0,7.0,objax,,,,['jax'],8.0,8.0,https://pypi.org/project/objax,2021-04-01 00:02:37.000000,0.0,152.0,152.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n657,PFRL,pfnet/pfrl,,reinforcement-learning,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50.000000,2021-03-30 10:26:58.000000,2021-03-09 02:40:07.000000,65,22.0,24.0,550,348.0,PFRL: a PyTorch-based deep reinforcement learning library.,12.0,19,True,2020-12-17 05:00:25.000000,0.2.1,4.0,pfrl,,,,,6.0,6.0,https://pypi.org/project/pfrl,2020-12-17 05:00:25.000000,,242.0,242.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n658,iterative-stratification,trent-b/iterative-stratification,,sklearn-utils,https://github.com/trent-b/iterative-stratification,https://github.com/trent-b/iterative-stratification,BSD-3-Clause,2018-02-04 00:32:10.000000,2020-09-12 15:32:44.000000,2020-09-12 15:35:02.000000,48,2.0,11.0,541,47.0,scikit-learn cross validators for iterative stratification of multilabel data.,4.0,19,True,2018-08-12 18:28:50.000000,0.1.6,5.0,iterative-stratification,,,,['sklearn'],136.0,122.0,https://pypi.org/project/iterative-stratification,2018-08-12 18:28:50.000000,14.0,2624.0,2624.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n659,deeplift,kundajelab/deeplift,,interpretability,https://github.com/kundajelab/deeplift,https://github.com/kundajelab/deeplift,MIT,2016-06-01 02:18:06.000000,2020-11-11 19:56:24.000000,2020-11-11 19:56:23.000000,125,29.0,46.0,515,551.0,Public facing deeplift repo.,11.0,19,True,2018-07-13 21:11:52.000000,0.6.6,21.0,deeplift,,,,,48.0,44.0,https://pypi.org/project/deeplift,2020-11-11 09:32:57.000000,4.0,233.0,233.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n660,pyhsmm,mattjj/pyhsmm,,probabilistics,https://github.com/mattjj/pyhsmm,https://github.com/mattjj/pyhsmm,MIT,2012-03-18 17:40:13.000000,2020-09-29 20:58:26.000000,2020-08-24 17:03:59.000000,150,34.0,60.0,485,1426.0,Bayesian inference in HSMMs and HMMs.,13.0,19,True,2017-05-10 17:14:37.000000,0.1.7,8.0,pyhsmm,,,,,26.0,18.0,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37.000000,8.0,57.0,57.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n661,What-If Tool,PAIR-code/what-if-tool,,interpretability,https://github.com/PAIR-code/what-if-tool,https://github.com/PAIR-code/what-if-tool,Apache-2.0,2018-09-07 20:26:10.000000,2021-03-31 09:17:26.000000,2021-03-17 12:46:20.000000,99,36.0,37.0,475,319.0,Source code/webpage/demos for the What-If Tool.,19.0,19,True,2021-01-19 14:40:37.214000,1.8.0,38.0,witwidget,,,,,0.0,,https://pypi.org/project/witwidget,2021-01-19 14:40:21.000000,0.0,3266.0,7122.0,,,,,,,,3.0,,,,wit-widget,https://www.npmjs.com/package/wit-widget,2021-01-19 14:40:37.214000,,3856.0,,,,,,,,,,,,,,,\n662,HpBandSter,automl/HpBandSter,,hyperopt,https://github.com/automl/HpBandSter,https://github.com/automl/HpBandSter,BSD-3-Clause,2017-12-17 20:28:20.000000,2021-01-31 10:05:37.000000,2019-03-26 09:26:28.000000,98,57.0,35.0,457,187.0,a distributed Hyperband implementation on Steroids.,11.0,19,False,2019-07-30 12:47:43.000000,1.0,8.0,hpbandster,,,,,147.0,131.0,https://pypi.org/project/hpbandster,2018-11-06 12:56:55.000000,16.0,6898.0,6898.0,,,,,,,,3.0,,,-2.0,,,,,,,,,,,,,,,,,,,,\n663,seglearn,dmbee/seglearn,,time-series-data,https://github.com/dmbee/seglearn,https://github.com/dmbee/seglearn,BSD-3-Clause,2018-03-05 20:53:59.000000,2021-03-13 16:18:30.000000,2021-03-12 17:12:50.000000,47,5.0,21.0,437,268.0,Python module for machine learning time series:.,13.0,19,True,2021-03-13 16:18:30.000000,1.2.3,22.0,seglearn,,,,,8.0,7.0,https://pypi.org/project/seglearn,2021-03-13 16:18:30.000000,1.0,945.0,945.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n664,pivottablejs,nicolaskruchten/jupyter_pivottablejs,,data-viz,https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,MIT,2015-09-09 13:39:18.000000,2018-12-04 14:43:26.000000,2018-12-04 14:43:25.000000,58,16.0,37.0,430,32.0,\"Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js.\",3.0,19,False,2018-01-15 18:14:37.000000,0.9.0,10.0,pivottablejs,,,,['jupyter'],186.0,152.0,https://pypi.org/project/pivottablejs,2018-01-15 18:14:37.000000,34.0,3283.0,3283.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n665,PyWaffle,gyli/PyWaffle,,data-viz,https://github.com/gyli/PyWaffle,https://github.com/gyli/PyWaffle,MIT,2017-11-14 20:03:47.000000,2020-07-26 23:22:17.000000,2020-07-26 23:22:13.000000,65,2.0,10.0,408,249.0,Make Waffle Charts in Python.,6.0,19,True,2020-07-26 19:16:45.000000,0.6.1,22.0,pywaffle,,,,,46.0,46.0,https://pypi.org/project/pywaffle,2020-07-26 19:16:45.000000,,591.0,591.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n666,PyKEEN,pykeen/pykeen,,graph,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000000,2021-03-29 11:35:23.000000,2021-03-29 11:35:14.000000,55,62.0,97.0,363,2331.0,A Python library for learning and evaluating knowledge graph embeddings.,18.0,19,True,2021-03-04 16:07:36.000000,1.4.0,35.0,pykeen,,,,,2.0,,https://pypi.org/project/pykeen,2021-02-15 14:13:30.000000,2.0,178.0,185.0,,,,,,,,3.0,79.0,,,,,,,,,,,,,,,,,,,,,,\n667,MXBoard,awslabs/mxboard,,ml-experiments,https://github.com/awslabs/mxboard,https://github.com/awslabs/mxboard,Apache-2.0,2018-02-06 23:03:51.000000,2020-01-24 23:21:56.000000,2020-01-24 23:21:55.000000,46,16.0,15.0,331,42.0,Logging MXNet data for visualization in TensorBoard.,9.0,19,False,2018-05-22 20:25:51.000000,0.1.0,12.0,mxboard,,,,['mxnet'],111.0,99.0,https://pypi.org/project/mxboard,2018-05-22 20:25:51.000000,12.0,1418.0,1418.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n668,rrcf,kLabUM/rrcf,,others,https://github.com/kLabUM/rrcf,https://github.com/kLabUM/rrcf,MIT,2018-10-20 05:39:05.000000,2021-01-13 23:05:23.000000,2020-06-10 01:07:39.000000,73,18.0,17.0,293,253.0,Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams.,4.0,19,True,2020-06-10 01:53:55.000000,0.4.3,7.0,rrcf,,,,,18.0,18.0,https://pypi.org/project/rrcf,2020-06-10 01:53:55.000000,0.0,1625.0,1625.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n669,textpipe,textpipe/textpipe,,nlp,https://github.com/textpipe/textpipe,https://github.com/textpipe/textpipe,MIT,2018-06-21 16:23:32.000000,2021-03-29 09:42:04.000000,2021-01-25 14:01:56.000000,20,21.0,25.0,284,370.0,Textpipe: clean and extract metadata from text.,27.0,19,True,2021-01-25 14:05:21.000000,0.12.2,39.0,textpipe,,,,,8.0,7.0,https://pypi.org/project/textpipe,2021-01-25 14:05:21.000000,1.0,671.0,671.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n670,impyute,eltonlaw/impyute,,others,https://github.com/eltonlaw/impyute,https://github.com/eltonlaw/impyute,MIT,2017-01-21 09:16:27.000000,2020-06-12 21:08:40.000000,2019-10-05 20:39:08.000000,41,26.0,36.0,277,289.0,Data imputations library to preprocess datasets with missing data.,9.0,19,False,2019-04-29 02:31:32.000000,0.0.8,8.0,impyute,,,,,87.0,83.0,https://pypi.org/project/impyute,2019-04-29 02:31:32.000000,4.0,984.0,984.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n671,pandas-ml,pandas-ml/pandas-ml,,others,https://github.com/pandas-ml/pandas-ml,https://github.com/pandas-ml/pandas-ml,BSD-3-Clause,2015-02-21 03:14:04.000000,2020-08-14 12:29:33.000000,2019-03-05 01:36:55.000000,57,24.0,17.0,273,153.0,\"pandas, scikit-learn, xgboost and seaborn integration.\",4.0,19,False,2019-03-05 01:36:12.000000,0.6.1,9.0,pandas-ml,,,,\"['sklearn', 'pandas']\",10.0,,https://pypi.org/project/pandas-ml,2019-03-05 01:35:23.000000,10.0,1409.0,1409.0,,,,,,,,3.0,5.0,,,,,,,,,,,,,,,,,,,,,,\n672,Brainiak,brainiak/brainiak,,medical-data,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27.000000,2021-02-19 18:46:29.000000,2021-02-19 18:46:29.000000,109,63.0,119.0,237,390.0,Brain Imaging Analysis Kit.,32.0,19,True,2019-08-27 23:52:29.000000,0.9.1,15.0,brainiak,,brainiak/brainiak,,,13.0,12.0,https://pypi.org/project/brainiak,2020-10-15 20:45:08.000000,1.0,86.0,94.0,,,,https://hub.docker.com/r/brainiak/brainiak,2020-10-15 21:11:03.379549,1.0,510.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n673,FiftyOne,voxel51/fiftyone,,data-viz,https://github.com/voxel51/fiftyone,https://github.com/voxel51/fiftyone,Apache-2.0,2020-04-22 13:43:28.000000,2021-04-01 14:37:21.000000,2021-03-31 20:26:09.000000,22,134.0,241.0,236,5467.0,\"Visualize, create, and debug image and video datasets and model predictions.\",11.0,19,True,2021-03-03 02:38:33.000000,0.7.4,45.0,fiftyone,,,,\"['tensorflow', 'pytorch', 'jupyter']\",,,https://pypi.org/project/fiftyone,2021-03-03 02:38:33.000000,,263.0,263.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n674,pyfasttext,vrasneur/pyfasttext,,nlp,https://github.com/vrasneur/pyfasttext,https://github.com/vrasneur/pyfasttext,GPL-3.0,2017-06-30 18:44:42.000000,2018-12-08 15:32:09.000000,2018-12-08 15:02:12.000000,30,21.0,28.0,229,153.0,Yet another Python binding for fastText.,4.0,19,False,2018-12-08 15:32:09.000000,0.4.6,13.0,pyfasttext,,,,,160.0,147.0,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09.000000,13.0,1642.0,1649.0,,,,,,,,3.0,322.0,,,,,,,,,,,,,,,,,,,,,,\n675,pymap3d,geospace-code/pymap3d,,geospatial-data,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03.000000,2021-03-21 08:01:20.946000,2021-03-21 04:51:18.000000,58,2.0,24.0,180,,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,9.0,19,True,2021-03-21 04:53:39.000000,2.6.0,48.0,pymap3d,conda-forge/pymap3d,,,,6.0,,https://pypi.org/project/pymap3d,2021-03-21 04:53:39.000000,6.0,11078.0,11678.0,https://anaconda.org/conda-forge/pymap3d,2021-03-21 08:01:20.946000,7807.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n676,gokart,m3dev/gokart,,ml-experiments,https://github.com/m3dev/gokart,https://github.com/m3dev/gokart,MIT,2018-12-23 07:40:27.000000,2021-03-28 10:25:02.000000,2021-03-16 04:05:36.000000,28,9.0,27.0,169,330.0,A wrapper of the data pipeline library luigi.,24.0,19,True,2021-03-16 04:12:00.000000,0.3.28,51.0,gokart,,,,,2.0,,https://pypi.org/project/gokart,2020-02-25 06:01:19.000000,2.0,410.0,410.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n677,Funsor,pyro-ppl/funsor,,probabilistics,https://github.com/pyro-ppl/funsor,https://github.com/pyro-ppl/funsor,Apache-2.0,2019-01-30 23:13:39.000000,2021-04-01 03:23:38.000000,2021-04-01 03:23:37.000000,15,70.0,67.0,167,525.0,Functional tensors for probabilistic programming.,9.0,19,True,2021-01-24 17:27:54.000000,0.4.0,6.0,funsor,,,,['pytorch'],11.0,11.0,https://pypi.org/project/funsor,2021-01-24 17:26:50.000000,0.0,154.0,154.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n678,Glow,projectglow/glow,,medical-data,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47.000000,2021-03-29 20:45:46.000000,2021-02-26 14:09:43.000000,44,25.0,56.0,163,316.0,An open-source toolkit for large-scale genomic analysis.,11.0,19,True,2021-02-09 17:45:43.000000,1.0.0,10.0,glow.py,,,,,,,https://pypi.org/project/glow.py,2021-02-08 22:11:48.000000,,2400.0,2400.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n679,graph-nets,deepmind/graph_nets,,graph,https://github.com/deepmind/graph_nets,https://github.com/deepmind/graph_nets,Apache-2.0,2018-08-31 08:19:28.000000,2020-12-04 17:43:48.000000,2020-12-04 17:43:47.000000,732,7.0,108.0,4824,47.0,Build Graph Nets in Tensorflow.,10.0,18,True,2020-01-29 16:00:25.000000,1.1.0,7.0,graph-nets,,,,['tensorflow'],7.0,,https://pypi.org/project/graph-nets,2020-01-29 16:00:25.000000,7.0,332.0,332.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n680,Crypto Signals,CryptoSignal/crypto-signal,,financial-data,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24.000000,2021-03-25 21:48:57.000000,2020-09-03 12:26:48.000000,766,42.0,192.0,2819,563.0,\"Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 2,100 + stars, 580 + forks.\",25.0,18,True,,,,,,shadowreaver/crypto-signal,,,,,,,,,1005.0,,,,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133,8.0,43256.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n681,BytePS,bytedance/byteps,,distributed-ml,https://github.com/bytedance/byteps,https://github.com/bytedance/byteps,Apache-2.0,2019-06-25 07:00:13.000000,2021-03-30 17:50:38.000000,2021-03-30 17:50:35.000000,376,82.0,146.0,2757,415.0,A high performance and generic framework for distributed DNN training.,18.0,18,True,2020-08-27 15:42:13.000000,0.2.4,7.0,byteps,,bytepsimage/tensorflow,,,,,https://pypi.org/project/byteps,2020-11-04 00:05:46.000000,,64.0,111.0,,,,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,1051.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n682,Kashgari,BrikerMan/Kashgari,,nlp,https://github.com/BrikerMan/Kashgari,https://github.com/BrikerMan/Kashgari,Apache-2.0,2019-01-19 01:53:28.000000,2021-03-21 02:20:20.000000,2021-03-21 02:20:20.000000,390,30.0,313.0,2064,,Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-..,19.0,18,True,2020-10-30 12:37:01.000000,2.0.1,23.0,kashgari-tf,,,,['tensorflow'],29.0,27.0,https://pypi.org/project/kashgari-tf,2019-10-18 07:57:55.000000,2.0,52.0,52.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n683,pdftabextract,WZBSocialScienceCenter/pdftabextract,,ocr,https://github.com/WZBSocialScienceCenter/pdftabextract,https://github.com/WZBSocialScienceCenter/pdftabextract,Apache-2.0,2016-07-08 11:44:46.000000,2020-12-28 00:52:23.000000,2018-10-26 13:57:02.000000,332,3.0,18.0,1906,168.0,A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.,2.0,18,False,2018-01-09 08:00:24.000000,0.3.0,5.0,pdftabextract,,,,,37.0,36.0,https://pypi.org/project/pdftabextract,2018-01-09 08:00:24.000000,1.0,146.0,146.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n684,Mara Pipelines,mara/mara-pipelines,,data-pipelines,https://github.com/mara/mara-pipelines,https://github.com/mara/mara-pipelines,MIT,2018-03-31 20:37:22.000000,2021-03-08 23:02:36.000000,2021-03-08 23:02:33.000000,80,11.0,12.0,1656,134.0,\"A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow.\",16.0,18,True,2021-01-23 22:34:03.000000,3.1.2,7.0,mara-pipelines,,,,,7.0,7.0,https://pypi.org/project/mara-pipelines,2021-01-23 22:34:03.000000,,35.0,35.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n685,doc2text,jlsutherland/doc2text,,ocr,https://github.com/jlsutherland/doc2text,https://github.com/jlsutherland/doc2text,MIT,2016-08-28 19:30:02.000000,2020-12-01 22:56:27.000000,2020-12-01 22:56:26.000000,92,12.0,9.0,1232,62.0,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,5.0,18,True,2016-09-06 21:59:21.000000,0.2.4,5.0,doc2text,,,,,35.0,35.0,https://pypi.org/project/doc2text,2016-09-06 21:59:21.000000,,154.0,154.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n686,Backtesting.py,kernc/backtesting.py,,financial-data,https://github.com/kernc/backtesting.py,https://github.com/kernc/backtesting.py,AGPL-3.0,2019-01-02 03:11:32.000000,2021-04-01 02:18:43.000000,2021-04-01 00:21:05.000000,270,21.0,182.0,1164,226.0,Backtest trading strategies in Python.,10.0,18,False,2017-07-22 02:00:06.000000,0.0.1,1.0,backtesting,,,,,,,https://pypi.org/project/backtesting,2017-07-22 02:00:06.000000,,1797.0,1797.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n687,TensorNets,taehoonlee/tensornets,,tensorflow-utils,https://github.com/taehoonlee/tensornets,https://github.com/taehoonlee/tensornets,MIT,2017-09-19 05:19:01.000000,2021-01-02 06:28:10.000000,2021-01-02 06:26:24.000000,188,14.0,42.0,985,284.0,High level network definitions with pre-trained weights in TensorFlow.,6.0,18,True,2020-03-31 04:38:27.000000,0.4.6,12.0,tensornets,,,,['tensorflow'],36.0,32.0,https://pypi.org/project/tensornets,2020-03-31 04:35:15.000000,4.0,90.0,90.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n688,Paddle Graph Learning,PaddlePaddle/PGL,,graph,https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28.000000,2021-04-01 14:01:47.000000,2021-04-01 03:22:39.000000,138,18.0,33.0,970,,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,16.0,18,True,2021-03-12 05:46:43.000000,2.1.1,9.0,pgl,,,,['paddle'],11.0,9.0,https://pypi.org/project/pgl,2021-03-12 05:52:49.000000,2.0,327.0,327.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n689,Norfair,tryolabs/norfair,,image,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000000,2021-03-16 21:10:23.000000,2021-03-16 21:10:22.000000,62,5.0,16.0,942,264.0,Lightweight Python library for adding real-time 2D object tracking to any detector.,8.0,18,True,2021-02-17 21:29:11.000000,0.2.0,10.0,norfair,,,,,,,https://pypi.org/project/norfair,2021-02-17 21:29:11.000000,,315.0,315.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n690,Fiber,uber/fiber,,distributed-ml,https://github.com/uber/fiber,https://github.com/uber/fiber,Apache-2.0,2020-01-07 18:16:24.000000,2021-03-24 19:18:22.000000,2021-03-15 07:00:08.000000,92,12.0,8.0,871,66.0,Distributed Computing for AI Made Simple.,5.0,18,True,2020-07-09 03:28:28.000000,0.2.1,6.0,fiber,,,,,25.0,24.0,https://pypi.org/project/fiber,2020-07-09 03:28:28.000000,1.0,869.0,869.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n691,advertorch,BorealisAI/advertorch,,adversarial,https://github.com/BorealisAI/advertorch,https://github.com/BorealisAI/advertorch,GPL-3.0,2018-11-29 22:17:33.000000,2021-02-26 11:22:02.000000,2020-06-15 01:16:18.000000,133,15.0,28.0,835,270.0,A Toolbox for Adversarial Robustness Research.,16.0,18,False,2020-06-15 01:20:07.000000,0.2.3,10.0,advertorch,,,,['pytorch'],40.0,34.0,https://pypi.org/project/advertorch,2020-06-15 01:20:07.000000,6.0,936.0,936.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n692,TensorFrames,databricks/tensorframes,,distributed-ml,https://github.com/databricks/tensorframes,https://github.com/databricks/tensorframes,Apache-2.0,2016-03-04 19:25:19.000000,2020-11-13 17:47:02.000000,2019-11-15 21:43:53.000000,157,51.0,43.0,768,221.0,[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark.,16.0,18,False,2018-11-16 20:50:02.000000,0.6.0,6.0,tensorframes,,,,\"['tensorflow', 'spark']\",1.0,,https://pypi.org/project/tensorframes,2018-05-16 14:20:28.000000,1.0,4022.0,4022.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n693,tffm,geffy/tffm,,tensorflow-utils,https://github.com/geffy/tffm,https://github.com/geffy/tffm,MIT,2016-05-02 17:06:07.000000,2020-05-22 21:40:58.000000,2020-05-22 21:40:57.000000,174,17.0,20.0,763,106.0,TensorFlow implementation of an arbitrary order Factorization Machine.,10.0,18,True,2018-01-27 11:43:26.000000,1.0.1,2.0,tffm,,,,['tensorflow'],11.0,10.0,https://pypi.org/project/tffm,2018-01-27 11:43:26.000000,1.0,748.0,748.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n694,pytorch2keras,nerox8664/pytorch2keras,,model-serialisation,https://github.com/nerox8664/pytorch2keras,https://github.com/nerox8664/pytorch2keras,MIT,2017-11-16 20:21:43.000000,2020-05-14 10:03:56.000000,2020-05-14 10:03:04.000000,112,44.0,66.0,682,277.0,PyTorch to Keras model convertor.,11.0,18,True,2020-05-14 10:03:56.000000,0.2.4,23.0,pytorch2keras,,,,,21.0,20.0,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56.000000,1.0,398.0,398.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n695,Hivemind,learning-at-home/hivemind,,distributed-ml,https://github.com/learning-at-home/hivemind,https://github.com/learning-at-home/hivemind,MIT,2020-02-27 13:50:19.000000,2021-04-01 06:39:53.000000,2021-03-26 20:58:50.000000,40,29.0,28.0,671,314.0,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,12.0,18,True,2021-03-05 13:41:38.000000,0.9.5,7.0,hivemind,,,,,3.0,2.0,https://pypi.org/project/hivemind,2021-03-05 13:41:38.000000,1.0,70.0,70.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n696,Test Tube,williamFalcon/test-tube,,hyperopt,https://github.com/williamFalcon/test-tube,https://github.com/williamFalcon/test-tube,MIT,2017-09-06 02:14:57.000000,2021-01-17 20:04:39.000000,2020-03-17 22:44:47.000000,61,25.0,21.0,666,642.0,Python library to easily log experiments and parallelize hyperparameter search for neural networks.,16.0,18,False,2019-12-01 01:19:36.000000,0.7.5,53.0,test_tube,,,,,5.0,,https://pypi.org/project/test_tube,2018-12-12 22:45:59.000000,5.0,4902.0,4902.0,,,,,,,,3.0,8.0,,,,,,,,,,,,,,,,,,,,,,\n697,Saliency,PAIR-code/saliency,,tensorflow-utils,https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35.000000,2021-03-16 16:53:32.000000,2021-03-16 16:49:51.000000,148,14.0,10.0,650,67.0,\"TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques.\",13.0,18,True,2021-03-16 16:53:32.000000,0.1.1,8.0,saliency,,,,['tensorflow'],16.0,14.0,https://pypi.org/project/saliency,2021-03-16 16:53:32.000000,2.0,130.0,130.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n698,matrixprofile-ts,target/matrixprofile-ts,,time-series-data,https://github.com/target/matrixprofile-ts,https://github.com/target/matrixprofile-ts,Apache-2.0,2018-09-10 19:03:34.000000,2020-04-25 18:38:20.000000,2020-04-25 18:37:42.000000,92,19.0,34.0,623,198.0,A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile.,15.0,18,True,2019-08-08 01:24:38.000000,0.0.9,9.0,matrixprofile-ts,,,,,13.0,13.0,https://pypi.org/project/matrixprofile-ts,2019-08-08 01:24:38.000000,,648.0,648.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n699,vecstack,vecxoz/vecstack,,others,https://github.com/vecxoz/vecstack,https://github.com/vecxoz/vecstack,MIT,2016-11-08 13:23:21.000000,2020-09-14 08:31:07.000000,2019-10-30 09:27:48.000000,65,1.0,34.0,589,189.0,Python package for stacking (machine learning technique).,1.0,18,False,2019-08-12 16:09:01.000000,0.4.0,6.0,vecstack,,,,,126.0,118.0,https://pypi.org/project/vecstack,2019-08-12 16:01:22.000000,8.0,827.0,827.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n700,Performer Pytorch,lucidrains/performer-pytorch,,pytorch-utils,https://github.com/lucidrains/performer-pytorch,https://github.com/lucidrains/performer-pytorch,MIT,2020-10-03 03:41:36.000000,2021-03-25 21:17:47.000000,2021-03-25 21:12:57.000000,71,19.0,35.0,567,,\"An implementation of Performer, a linear attention-based transformer, in Pytorch.\",4.0,18,True,2021-03-25 21:17:47.000000,1.0.1,65.0,performer-pytorch,,,,['pytorch'],12.0,12.0,https://pypi.org/project/performer-pytorch,2021-03-25 21:17:47.000000,0.0,511.0,511.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n701,SKLL,EducationalTestingService/skll,,ml-experiments,https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,BSD-1-Clause,2013-08-02 14:31:46.000000,2021-03-30 19:40:01.000000,2021-03-30 19:39:59.000000,64,36.0,348.0,525,,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,35.0,18,False,2021-02-26 03:01:01.000000,2.5,64.0,skll,,,,['sklearn'],47.0,30.0,https://pypi.org/project/skll,2020-03-13 16:23:35.000000,17.0,154.0,154.0,,,,,,,,3.0,10.0,,,,,,,,,,,,,,,,,,,,,,\n702,robustness,MadryLab/robustness,,adversarial,https://github.com/MadryLab/robustness,https://github.com/MadryLab/robustness,MIT,2019-08-21 09:26:33.000000,2021-03-30 19:20:40.000000,2021-03-04 15:19:19.000000,90,6.0,50.0,515,139.0,\"A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.\",12.0,18,True,2020-12-01 06:11:12.000000,1.2.1.post2,10.0,robustness,,,,,43.0,41.0,https://pypi.org/project/robustness,2020-12-01 06:21:33.000000,2.0,137.0,137.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n703,Feature Engine,solegalli/feature_engine,,others,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2018-12-31 01:47:18.000000,2021-03-28 00:11:41.000000,2021-03-04 14:05:43.000000,137,26.0,75.0,480,105.0,Feature engineering package with sklearn like functionality.,20.0,18,True,2021-01-23 12:03:16.000000,1.0.2,25.0,feature_engine,conda-forge/feature_engine,,,,2.0,,https://pypi.org/project/feature_engine,2021-01-23 12:03:16.000000,2.0,7272.0,7550.0,https://anaconda.org/conda-forge/feature_engine,2021-01-25 12:36:37.909000,2231.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n704,N2,kakao/n2,,nn-search,https://github.com/kakao/n2,https://github.com/kakao/n2,Apache-2.0,2017-11-23 02:27:59.000000,2020-10-21 05:15:27.000000,2020-10-21 05:14:11.000000,52,17.0,22.0,459,242.0,TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets.,17.0,18,True,2020-10-16 03:43:47.000000,0.1.7,9.0,n2,,,,,17.0,13.0,https://pypi.org/project/n2,2020-10-16 03:10:01.000000,4.0,378.0,378.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n705,TF Compression,tensorflow/compression,,tensorflow-utils,https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19.000000,2021-03-26 17:44:07.000000,2021-03-26 17:43:26.000000,163,,61.0,459,167.0,Data compression in TensorFlow.,10.0,18,True,2021-03-11 09:05:35.000000,2.1,10.0,tensorflow-compression,,,,['tensorflow'],1.0,,https://pypi.org/project/tensorflow-compression,2021-03-11 09:00:48.000000,1.0,406.0,406.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n706,tcav,tensorflow/tcav,,interpretability,https://github.com/tensorflow/tcav,https://github.com/tensorflow/tcav,Apache-2.0,2018-07-03 17:45:35.000000,2021-03-23 17:16:42.000000,2021-03-23 17:16:22.000000,101,3.0,45.0,444,160.0,Code for the TCAV ML interpretability project.,18.0,18,True,2021-02-23 16:17:42.000000,0.2.2,4.0,tcav,,,,['tensorflow'],8.0,6.0,https://pypi.org/project/tcav,2021-02-23 16:17:42.000000,2.0,36.0,36.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n707,animatplot,t-makaro/animatplot,,data-viz,https://github.com/t-makaro/animatplot,https://github.com/t-makaro/animatplot,MIT,2017-04-03 00:54:04.000000,2020-10-06 02:02:00.460000,2020-10-05 06:14:18.000000,32,17.0,15.0,363,178.0,A python package for animating plots build on matplotlib.,7.0,18,True,2020-10-05 06:20:52.000000,0.4.2,10.0,animatplot,conda-forge/animatplot,,,,16.0,14.0,https://pypi.org/project/animatplot,2020-10-05 06:20:52.000000,2.0,152.0,364.0,https://anaconda.org/conda-forge/animatplot,2020-10-06 02:02:00.460000,5514.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n708,Orbit,uber/orbit,,probabilistics,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000000,2021-04-01 00:41:35.000000,2021-03-31 06:02:56.000000,27,19.0,173.0,361,586.0,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,7.0,18,True,2021-02-19 16:42:02.000000,1.0.12,11.0,orbit-ml,,,,,4.0,4.0,https://pypi.org/project/orbit-ml,2021-02-19 16:42:02.000000,,61.0,61.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n709,Camphr,PKSHATechnology-Research/camphr,,nlp,https://github.com/PKSHATechnology-Research/camphr,https://github.com/PKSHATechnology-Research/camphr,Apache-2.0,2020-02-10 03:39:58.000000,2021-03-30 08:43:46.000000,2021-03-22 09:11:48.000000,17,12.0,21.0,327,1233.0,\"spaCy plugin for Transformers , Udify, ELmo, etc.\",7.0,18,True,2021-03-05 10:59:35.000000,0.8.8,45.0,camphr,,,,['spacy'],0.0,,https://pypi.org/project/camphr,2021-03-05 10:59:35.000000,0.0,419.0,419.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n710,AutoViz,AutoViML/AutoViz,,data-viz,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06.000000,2020-12-21 03:22:01.000000,2020-12-21 03:21:52.000000,55,3.0,20.0,315,97.0,\"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..\",10.0,18,True,2020-12-10 02:33:19.000000,0.0.81,26.0,autoviz,,,,,32.0,32.0,https://pypi.org/project/autoviz,2020-12-10 02:33:19.000000,,843.0,843.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n711,apricot,jmschrei/apricot,,others,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12.000000,2021-02-18 03:37:56.000000,2021-02-18 03:37:55.000000,29,3.0,14.0,309,167.0,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,2.0,18,True,2020-09-28 07:19:15.000000,0.6.0,13.0,apricot-select,,,,,14.0,14.0,https://pypi.org/project/apricot-select,2020-09-28 07:19:15.000000,0.0,279.0,279.0,,,,,,,,3.0,8.0,,,,,,,,,,,,,,,,,,,,,,\n712,scikit-tda,scikit-tda/scikit-tda,,sklearn-utils,https://github.com/scikit-tda/scikit-tda,https://github.com/scikit-tda/scikit-tda,MIT,2018-04-13 21:00:31.000000,2021-01-09 19:51:04.000000,2021-01-09 19:50:05.000000,32,11.0,4.0,269,56.0,Topological Data Analysis for Python.,2.0,18,True,2021-01-09 19:51:04.000000,0.1.0,3.0,scikit-tda,,,,['sklearn'],20.0,20.0,https://pypi.org/project/scikit-tda,2021-01-09 19:51:04.000000,,2554.0,2554.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n713,sk-dist,Ibotta/sk-dist,,distributed-ml,https://github.com/Ibotta/sk-dist,https://github.com/Ibotta/sk-dist,Apache-2.0,2019-08-14 21:07:17.000000,2021-03-01 23:05:15.000000,2021-03-01 23:05:11.000000,44,7.0,9.0,260,47.0,Distributed scikit-learn meta-estimators in PySpark.,6.0,18,True,2020-05-14 22:20:14.000000,0.1.9,12.0,sk-dist,,,,\"['sklearn', 'spark']\",8.0,6.0,https://pypi.org/project/sk-dist,2020-05-14 22:20:14.000000,2.0,2317.0,2317.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n714,recmetrics,statisticianinstilettos/recmetrics,,recommender-systems,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49.000000,2020-12-03 21:21:02.000000,2020-12-03 21:21:00.000000,60,3.0,7.0,248,233.0,A library of metrics for evaluating recommender systems.,12.0,18,True,2019-03-05 04:11:15.000000,0.0.12,14.0,recmetrics,,,,,17.0,17.0,https://pypi.org/project/recmetrics,2019-03-05 04:11:15.000000,,357.0,357.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n715,somoclu,peterwittek/somoclu,,distributed-ml,https://github.com/peterwittek/somoclu,https://github.com/peterwittek/somoclu,MIT,2013-01-16 06:33:16.000000,2020-10-13 18:39:07.609000,2020-07-24 13:00:47.000000,56,26.0,104.0,225,590.0,\"Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters.\",17.0,18,True,2018-03-03 02:44:37.000000,1.7.5,17.0,somoclu,conda-forge/somoclu,,,,4.0,,https://pypi.org/project/somoclu,2020-04-25 05:33:32.000000,4.0,248.0,1269.0,https://anaconda.org/conda-forge/somoclu,2020-10-13 18:39:07.609000,44090.0,,,,,3.0,1453.0,,,,,,,,,,,,,,,,,,,,,,\n716,skift,shaypal5/skift,,nlp,https://github.com/shaypal5/skift,https://github.com/shaypal5/skift,MIT,2018-02-03 11:37:21.000000,2021-03-31 10:11:28.000000,2021-03-31 10:11:20.000000,22,2.0,8.0,214,129.0,scikit-learn wrappers for Python fastText.,7.0,18,True,2020-08-27 15:01:05.000000,0.0.19,15.0,skift,,,,['sklearn'],8.0,8.0,https://pypi.org/project/skift,2020-08-27 15:01:05.000000,,2394.0,2394.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n717,Auto TS,AutoViML/Auto_TS,,time-series-data,https://github.com/AutoViML/Auto_TS,https://github.com/AutoViML/Auto_TS,Apache-2.0,2020-02-15 15:23:32.000000,2021-03-14 19:58:41.000000,2021-03-14 19:58:35.000000,39,10.0,31.0,201,234.0,\"Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of..\",6.0,18,True,2021-03-14 04:16:59.000000,0.0.36,15.0,auto-ts,,,,,,,https://pypi.org/project/auto-ts,2021-03-14 04:16:59.000000,,252.0,252.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n718,fairness-indicators,tensorflow/fairness-indicators,,interpretability,https://github.com/tensorflow/fairness-indicators,https://github.com/tensorflow/fairness-indicators,Apache-2.0,2019-09-30 22:56:45.000000,2021-04-01 13:19:37.000000,2021-03-11 17:51:36.000000,53,14.0,5.0,187,249.0,Tensorflow's Fairness Evaluation and Visualization Toolkit.,20.0,18,True,2021-03-09 20:20:07.000000,0.28.0,13.0,fairness-indicators,,,,\"['tensorflow', 'jupyter']\",,,https://pypi.org/project/fairness-indicators,2021-01-28 22:09:49.000000,,411.0,411.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n719,Muda,bmcfee/muda,,audio,https://github.com/bmcfee/muda,https://github.com/bmcfee/muda,ISC,2014-11-07 21:21:22.000000,2020-09-01 19:21:10.000000,2020-07-20 20:00:17.000000,32,5.0,44.0,178,291.0,A library for augmenting annotated audio data.,6.0,18,True,2019-11-15 15:46:21.000000,0.4.1,11.0,muda,,,,,10.0,9.0,https://pypi.org/project/muda,2019-11-15 15:46:21.000000,1.0,200.0,200.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n720,BatchFlow,analysiscenter/batchflow,,data-pipelines,https://github.com/analysiscenter/batchflow,https://github.com/analysiscenter/batchflow,Apache-2.0,2017-03-13 14:22:53.000000,2021-03-31 09:52:58.000000,2021-03-25 10:31:44.000000,36,46.0,57.0,156,4459.0,BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and..,29.0,18,True,2021-03-05 13:23:43.000000,0.5.0beta3,6.0,batchflow,,,,,,,https://pypi.org/project/batchflow,2021-03-05 13:45:58.000000,,61.0,61.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n721,flupy,olirice/flupy,,data-pipelines,https://github.com/olirice/flupy,https://github.com/olirice/flupy,MIT,2018-01-06 16:46:04.000000,2021-03-09 13:15:35.000000,2021-03-09 13:15:26.000000,9,,7.0,154,177.0,Fluent data pipelines for python and your shell.,4.0,18,True,2021-01-06 12:37:15.000000,1.1.6,34.0,flupy,,,,,0.0,,https://pypi.org/project/flupy,2021-01-06 12:37:15.000000,0.0,3587.0,3587.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n722,nvidia-ml-py3,nicolargo/nvidia-ml-py3,,gpu-utilities,https://github.com/nicolargo/nvidia-ml-py3,https://github.com/nicolargo/nvidia-ml-py3,BSD-3-Clause,2017-06-03 07:47:03.000000,2019-03-06 20:41:10.000000,2019-03-06 20:41:09.000000,14,2.0,,66,5.0,Python 3 Bindings for the NVIDIA Management Library.,2.0,18,False,2017-06-03 07:43:46.000000,7.352.0,1.0,nvidia-ml-py3,,,,,3106.0,2886.0,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46.000000,220.0,247744.0,247744.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n723,DeepMind Lab,deepmind/lab,,reinforcement-learning,https://github.com/deepmind/lab,https://github.com/deepmind/lab,GPL-2.0,2016-11-30 13:41:26.000000,2021-03-15 17:26:57.000000,2021-03-04 17:39:30.000000,1286,37.0,153.0,6422,481.0,A customisable 3D platform for agent-based AI research.,7.0,17,False,2020-12-07 11:26:33.000000,release-2020-12-07,8.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n724,ReAgent,facebookresearch/ReAgent,,reinforcement-learning,https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000000,2021-04-01 06:29:17.000000,2021-04-01 03:58:51.000000,389,20.0,75.0,2850,1139.0,\"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).\",91.0,17,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n725,Spotlight,maciejkula/spotlight,,recommender-systems,https://github.com/maciejkula/spotlight,https://github.com/maciejkula/spotlight,MIT,2017-06-25 18:52:19.000000,2020-11-15 08:21:28.000000,2020-02-09 21:03:48.000000,372,67.0,48.0,2456,299.0,Deep recommender models using PyTorch.,11.0,17,False,2019-09-08 10:19:53.000000,0.1.6,7.0,,maciejkula/spotlight,,,['pytorch'],,,,,,,131.0,https://anaconda.org/maciejkula/spotlight,2018-05-27 18:32:12.235000,6067.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n726,LIT,PAIR-code/lit,,interpretability,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000000,2021-04-01 07:40:10.000000,2020-11-17 00:43:10.000000,243,44.0,36.0,2419,,The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and..,10.0,17,True,2020-11-17 00:53:31.000000,0.2,4.0,lit-nlp,,,,,3.0,3.0,https://pypi.org/project/lit-nlp,2020-11-17 00:52:37.000000,,122.0,122.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n727,PaddleDetection,PaddlePaddle/PaddleDetection,,image,https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000000,2021-04-01 14:07:48.000000,2021-03-23 03:41:36.000000,688,350.0,1038.0,2400,746.0,Object detection and instance segmentation toolkit based on PaddlePaddle.,50.0,17,True,2019-11-27 05:15:38.000000,0.1.0,1.0,,,,,['paddle'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n728,spark-deep-learning,databricks/spark-deep-learning,,data-pipelines,https://github.com/databricks/spark-deep-learning,https://github.com/databricks/spark-deep-learning,Apache-2.0,2017-05-31 17:30:28.000000,2021-01-20 15:05:13.000000,2021-01-20 15:00:20.000000,445,73.0,27.0,1821,135.0,Deep Learning Pipelines for Apache Spark.,15.0,17,True,2020-01-08 19:50:31.000000,1.6.0,9.0,,,,,['spark'],16.0,16.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n729,NeuroNER,Franck-Dernoncourt/NeuroNER,,nlp,https://github.com/Franck-Dernoncourt/NeuroNER,https://github.com/Franck-Dernoncourt/NeuroNER,MIT,2017-03-07 01:24:15.000000,2020-11-13 18:07:48.000000,2019-10-02 23:26:11.000000,440,80.0,67.0,1543,132.0,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,7.0,17,False,2019-10-02 23:30:15.000000,1.0.8,7.0,pyneuroner,,,,,9.0,9.0,https://pypi.org/project/pyneuroner,2019-10-02 23:30:15.000000,,95.0,95.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n730,River,online-ml/river,,others,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000000,2021-04-01 11:29:26.000000,2021-03-31 12:27:43.000000,193,40.0,266.0,1491,3081.0,Online machine learning in Python.,62.0,17,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n731,BlazingSQL,BlazingDB/blazingsql,,gpu-utilities,https://github.com/BlazingDB/blazingsql,https://github.com/BlazingDB/blazingsql,Apache-2.0,2018-09-24 18:25:45.000000,2021-04-01 06:53:48.000000,2021-03-31 21:44:47.000000,133,256.0,374.0,1461,,\"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.\",39.0,17,True,2021-02-26 21:15:55.000000,0.18.0,16.0,,blazingsql/blazingsql-protocol,,,,,,,,,,48.0,https://anaconda.org/blazingsql/blazingsql-protocol,2019-11-11 19:54:17.621000,917.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n732,Lambda Networks,lucidrains/lambda-networks,,pytorch-utils,https://github.com/lucidrains/lambda-networks,https://github.com/lucidrains/lambda-networks,MIT,2020-10-08 19:01:15.000000,2020-11-18 19:54:34.000000,2020-11-18 19:54:30.000000,150,12.0,15.0,1434,,\"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.\",3.0,17,True,2020-11-18 08:19:23.000000,0.4.0,11.0,lambda-networks,,,,['pytorch'],2.0,2.0,https://pypi.org/project/lambda-networks,2020-11-18 08:19:23.000000,,246.0,246.0,,,,,,,,3.0,,,2.0,,,,,,,,,,,,,,,,,,,,\n733,Advisor,tobegit3hub/advisor,,hyperopt,https://github.com/tobegit3hub/advisor,https://github.com/tobegit3hub/advisor,Apache-2.0,2017-09-14 03:50:33.000000,2019-11-11 07:09:57.869705,2019-11-11 06:59:31.000000,249,20.0,13.0,1365,165.0,Open-source implementation of Google Vizier for hyper parameters tuning.,11.0,17,False,2018-10-18 02:54:09.000000,0.1.6,4.0,advisor,,tobegit3hub/advisor,,,,,https://pypi.org/project/advisor,2018-10-18 02:54:09.000000,,39.0,75.0,,,,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1579.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n734,Antialiased CNNs,adobe/antialiased-cnns,,pytorch-utils,https://github.com/adobe/antialiased-cnns,https://github.com/adobe/antialiased-cnns,CC BY-NC-SA 4.0,2019-05-14 20:51:25.000000,2021-03-01 18:01:57.000000,2020-10-22 19:40:07.000000,176,9.0,31.0,1365,238.0,pip install antialiased-cnns to improve stability and accuracy.,6.0,17,False,2020-10-23 22:45:52.000000,0.3,6.0,antialiased-cnns,,,,['pytorch'],,,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49.000000,,485.0,485.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n735,AdvBox,advboxes/AdvBox,,adversarial,https://github.com/advboxes/AdvBox,https://github.com/advboxes/AdvBox,Apache-2.0,2018-08-08 08:55:41.000000,2021-03-25 22:02:04.000000,2020-08-26 22:59:41.000000,228,8.0,28.0,1066,374.0,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,19.0,17,True,2018-12-05 02:48:50.000000,0.4.1,2.0,advbox,,,,,,,https://pypi.org/project/advbox,2018-12-05 02:48:50.000000,,31.0,31.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n736,sklearn-porter,nok/sklearn-porter,,model-serialisation,https://github.com/nok/sklearn-porter,https://github.com/nok/sklearn-porter,MIT,2016-06-22 22:21:34.000000,2021-02-28 20:44:14.000000,2019-12-18 13:31:50.000000,129,39.0,29.0,1025,699.0,\"Transpile trained scikit-learn estimators to C, Java, JavaScript and others.\",11.0,17,False,2019-12-18 13:39:19.000000,0.7.4,20.0,sklearn-porter,,,,['sklearn'],1.0,,https://pypi.org/project/sklearn-porter,2019-12-18 13:39:19.000000,1.0,205.0,205.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n737,Bounter,RaRe-Technologies/bounter,,data-containers,https://github.com/RaRe-Technologies/bounter,https://github.com/RaRe-Technologies/bounter,MIT,2017-07-18 07:24:15.000000,2020-08-17 06:37:51.000000,2020-08-16 11:55:16.000000,48,11.0,9.0,896,152.0,Efficient Counter that uses a limited (bounded) amount of memory regardless of data size.,8.0,17,True,2020-08-17 06:37:51.000000,1.1.1,7.0,bounter,,,,,36.0,22.0,https://pypi.org/project/bounter,2020-08-17 06:37:51.000000,14.0,100.0,100.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n738,sklearn-deap,rsteca/sklearn-deap,,hyperopt,https://github.com/rsteca/sklearn-deap,https://github.com/rsteca/sklearn-deap,MIT,2015-10-28 22:52:34.000000,2019-12-03 13:29:06.000000,2019-12-03 13:29:04.000000,108,21.0,31.0,635,98.0,Use evolutionary algorithms instead of gridsearch in scikit-learn.,20.0,17,False,2019-07-15 09:24:09.000000,0.2.4,13.0,sklearn-deap,,,,['sklearn'],27.0,25.0,https://pypi.org/project/sklearn-deap,2019-07-15 09:24:09.000000,2.0,345.0,345.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n739,ADTK,arundo/adtk,,time-series-data,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22.000000,2020-04-29 19:54:40.000000,2020-04-17 02:27:44.000000,80,23.0,30.0,629,78.0,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,11.0,17,True,2020-04-17 02:18:00.000000,0.6.2,13.0,adtk,,,,,,,https://pypi.org/project/adtk,2020-04-17 02:18:00.000000,,20621.0,20621.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n740,RLax,deepmind/rlax,,reinforcement-learning,https://github.com/deepmind/rlax,https://github.com/deepmind/rlax,Apache-2.0,2020-02-18 07:14:59.000000,2021-03-02 14:09:58.000000,2021-03-02 14:09:08.000000,45,3.0,4.0,573,106.0,A library of reinforcement learning building blocks in JAX.,10.0,17,True,2020-02-19 23:01:30.000000,0.1.0,3.0,rlax,,,,['jax'],14.0,14.0,https://pypi.org/project/rlax,2020-02-19 23:01:30.000000,,69.0,69.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n741,Dragonfly,dragonfly/dragonfly,,hyperopt,https://github.com/dragonfly/dragonfly,https://github.com/dragonfly/dragonfly,MIT,2018-04-20 22:19:50.000000,2020-07-26 17:44:31.000000,2020-07-03 18:01:17.000000,75,24.0,17.0,571,397.0,An open source python library for scalable Bayesian optimisation.,12.0,17,True,2020-07-03 18:05:12.000000,0.1.6,9.0,dragonfly-opt,,,,,2.0,,https://pypi.org/project/dragonfly-opt,2020-07-03 18:05:12.000000,2.0,6196.0,6196.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n742,DiCE,interpretml/DiCE,,interpretability,https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000000,2021-03-31 18:21:03.000000,2021-03-25 13:15:52.000000,71,13.0,22.0,505,361.0,Generate Diverse Counterfactual Explanations for any machine learning model.,10.0,17,True,2021-03-01 15:26:58.000000,0.5,3.0,dice-ml,,,,\"['tensorflow', 'pytorch']\",,,https://pypi.org/project/dice-ml,2021-03-01 15:44:45.000000,,211.0,211.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n743,pytorch_geometric_temporal,benedekrozemberczki/pytorch_geometric_temporal,,graph,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,MIT,2020-06-27 01:11:33.000000,2021-03-31 11:56:53.000000,2021-03-31 11:56:53.000000,52,1.0,18.0,451,1324.0,A Temporal Extension Library for PyTorch Geometric.,6.0,17,True,2021-03-30 23:31:27.000000,_00025,24.0,torch-geometric-temporal,,,,['pytorch'],,,https://pypi.org/project/torch-geometric-temporal,2021-03-30 23:27:38.000000,,134.0,134.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n744,Vulkan Kompute,EthicalML/vulkan-kompute,,gpu-utilities,https://github.com/EthicalML/vulkan-kompute,https://github.com/EthicalML/vulkan-kompute,Apache-2.0,2020-07-29 05:23:33.000000,2021-04-01 14:27:15.000000,2021-04-01 14:27:07.000000,28,44.0,92.0,359,821.0,\"General purpose GPU compute framework for cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast,..\",10.0,17,True,2021-03-14 16:03:43.000000,0.7.0,11.0,kp,,,,,2.0,2.0,https://pypi.org/project/kp,2021-03-14 15:37:22.000000,,87.0,92.0,,,,,,,,3.0,47.0,,,,,,,,,,,,,,,,,,,,,,\n745,Baal,ElementAI/baal,,probabilistics,https://github.com/ElementAI/baal,https://github.com/ElementAI/baal,Apache-2.0,2019-09-30 20:16:26.000000,2021-03-25 13:21:19.000000,2021-03-25 13:21:18.000000,29,5.0,30.0,330,105.0,Using approximate bayesian posteriors in deep nets for active learning.,8.0,17,True,2021-03-16 13:48:22.000000,1.3.0,8.0,baal,,,,,7.0,7.0,https://pypi.org/project/baal,2021-03-16 13:38:39.000000,,80.0,80.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n746,tick,X-DataInitiative/tick,,time-series-data,https://github.com/X-DataInitiative/tick,https://github.com/X-DataInitiative/tick,BSD-3-Clause,2016-12-01 10:59:08.000000,2020-08-11 12:36:43.000000,2020-06-15 12:01:36.000000,74,55.0,159.0,328,413.0,\"Module for statistical learning, with a particular emphasis on time-dependent modelling.\",16.0,17,True,2019-09-11 11:25:15.000000,0.6,23.0,tick,,,,,31.0,30.0,https://pypi.org/project/tick,2020-05-24 22:01:17.000000,1.0,353.0,356.0,,,,,,,,3.0,158.0,,,,,,,,,,,,,,,,,,,,,,\n747,Case Recommender,caserec/CaseRecommender,,recommender-systems,https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39.000000,2020-05-26 22:44:05.000000,2020-05-26 22:44:05.000000,70,7.0,16.0,319,201.0,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems.,10.0,17,True,2019-08-20 13:48:43.000000,1.1.0,41.0,caserecommender,,,,['sklearn'],9.0,9.0,https://pypi.org/project/caserecommender,2019-08-20 13:48:43.000000,,155.0,155.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n748,Sherpa,sherpa-ai/sherpa,,hyperopt,https://github.com/sherpa-ai/sherpa,https://github.com/sherpa-ai/sherpa,GPL-3.0,2018-05-16 21:41:54.000000,2020-10-18 07:57:50.000000,2020-10-18 07:57:48.000000,44,12.0,41.0,291,823.0,\"Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.\",43.0,17,False,2020-07-31 05:29:09.000000,1.0.7,8.0,parameter-sherpa,,,,,12.0,10.0,https://pypi.org/project/parameter-sherpa,2019-11-23 21:32:27.000000,2.0,102.0,102.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n749,ExplainX.ai,explainX/explainx,,interpretability,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15.000000,2021-02-07 11:06:21.000000,2021-02-02 09:03:57.000000,31,10.0,17.0,198,184.0,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,4.0,17,True,2021-02-07 11:06:21.000000,2.407,56.0,explainx,,,,,,,https://pypi.org/project/explainx,2021-02-04 16:44:24.000000,,305.0,305.0,,,,,,,,3.0,1.0,,,,,,,,,,,,,,,,,,,,,,\n750,imodels,csinva/imodels,,interpretability,https://github.com/csinva/imodels,https://github.com/csinva/imodels,MIT,2019-07-04 15:38:48.000000,2021-04-01 07:45:20.000000,2021-03-26 07:06:00.000000,17,,9.0,197,269.0,\"Interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible).\",3.0,17,True,2021-03-11 18:51:58.000000,0.2.8,8.0,imodels,,,,,7.0,7.0,https://pypi.org/project/imodels,2021-03-11 18:44:07.000000,,143.0,143.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n751,elegy,poets-ai/elegy,,ml-frameworks,https://github.com/poets-ai/elegy,https://github.com/poets-ai/elegy,Apache-2.0,2020-06-30 14:00:37.000000,2021-03-11 18:43:29.000000,2021-03-10 19:03:01.000000,11,21.0,36.0,194,298.0,Elegy is a framework-agnostic Trainer interface for the Jax ecosystem.,13.0,17,True,2021-03-10 18:59:02.000000,0.7.2,21.0,elegy,,,,\"['tensorflow', 'jax']\",,,https://pypi.org/project/elegy,2021-03-01 22:47:33.000000,,231.0,231.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n752,Larq Compute Engine,larq/compute-engine,,model-serialisation,https://github.com/larq/compute-engine,https://github.com/larq/compute-engine,Apache-2.0,2019-08-29 15:02:43.000000,2021-04-01 11:13:09.000000,2021-04-01 11:13:08.000000,22,23.0,90.0,139,465.0,Highly optimized inference engine for Binarized Neural Networks.,15.0,17,False,2021-01-30 03:07:11.000000,0.5.0,12.0,larq-compute-engine,,,,,1.0,1.0,https://pypi.org/project/larq-compute-engine,2021-01-30 03:07:11.000000,,395.0,409.0,,,,,,,,3.0,200.0,,,,,,,,,,,,,,,,,,,,,,\n753,tinygrad,geohot/tinygrad,,pytorch-utils,https://github.com/geohot/tinygrad,https://github.com/geohot/tinygrad,MIT,2020-10-18 16:23:12.000000,2021-02-17 13:45:15.000000,2021-01-31 16:31:16.000000,469,16.0,63.0,4201,511.0,You like pytorch? You like micrograd? You love tinygrad!.,43.0,16,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n754,automl-gs,minimaxir/automl-gs,,hyperopt,https://github.com/minimaxir/automl-gs,https://github.com/minimaxir/automl-gs,MIT,2019-01-13 18:57:44.000000,2019-10-22 11:20:40.000000,2019-04-05 06:48:14.000000,157,26.0,6.0,1732,102.0,\"Provide an input CSV and a target field to predict, generate a model + code to run it.\",7.0,16,False,2019-04-05 06:51:04.000000,0.2.1,2.0,automl_gs,,,,,,,https://pypi.org/project/automl_gs,2019-04-05 06:47:54.000000,,26.0,26.0,,,,,,,,3.0,21.0,,,,,,,,,,,,,,,,,,,,,,\n755,riko,nerevu/riko,,data-pipelines,https://github.com/nerevu/riko,https://github.com/nerevu/riko,MIT,2016-06-02 12:22:51.000000,2020-08-14 18:29:28.000000,2020-08-14 16:47:45.000000,72,22.0,8.0,1563,1257.0,A Python stream processing engine modeled after Yahoo! Pipes.,18.0,16,True,2020-08-14 18:29:28.000000,0.66.0,58.0,riko,,,,,1.0,,https://pypi.org/project/riko,2020-08-14 18:29:28.000000,1.0,18.0,18.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n756,Botflow,kkyon/botflow,,data-pipelines,https://github.com/kkyon/botflow,https://github.com/kkyon/botflow,BSD-3-Clause,2018-08-20 03:13:31.000000,2020-12-31 09:03:22.000000,2019-05-23 14:40:50.000000,99,2.0,2.0,1165,192.0,\"Python Fast Dataflow programming framework for Data pipeline work( Web Crawler,Machine Learning,Quantitative..\",11.0,16,False,2018-09-14 14:38:32.000000,0.2.0,5.0,botflow,,,,,1.0,1.0,https://pypi.org/project/botflow,2018-09-14 14:38:32.000000,,28.0,28.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n757,CrypTen,facebookresearch/CrypTen,,privacy-ml,https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000000,2021-04-01 13:27:52.000000,2021-03-31 20:57:25.000000,109,27.0,38.0,746,240.0,A framework for Privacy Preserving Machine Learning.,23.0,16,True,2020-04-21 13:59:37.000000,0.1,1.0,crypten,,,,['pytorch'],6.0,6.0,https://pypi.org/project/crypten,2020-02-05 18:53:03.000000,,56.0,56.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n758,cuGraph,rapidsai/cugraph,,gpu-utilities,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000000,2021-04-01 03:45:13.000000,2021-03-31 22:02:37.000000,144,93.0,527.0,687,,cuGraph - RAPIDS Graph Analytics Library.,59.0,16,True,2021-02-24 21:42:05.000000,0.18.0,7.0,cugraph,,,,,0.0,,https://pypi.org/project/cugraph,2020-06-01 20:09:06.000000,0.0,29.0,29.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n759,SpeedTorch,Santosh-Gupta/SpeedTorch,,gpu-utilities,https://github.com/Santosh-Gupta/SpeedTorch,https://github.com/Santosh-Gupta/SpeedTorch,MIT,2019-09-07 18:57:52.000000,2020-02-21 23:13:29.000000,2020-02-21 23:13:28.000000,37,3.0,2.0,615,170.0,Library for faster pinned CPU - GPU transfer in Pytorch.,3.0,16,False,2020-01-06 05:27:17.000000,0.1.6,14.0,SpeedTorch,,,,['pytorch'],5.0,3.0,https://pypi.org/project/SpeedTorch,2020-01-06 05:27:17.000000,2.0,62.0,62.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n760,AlphaPy,ScottfreeLLC/AlphaPy,,hyperopt,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32.000000,2021-02-08 21:35:40.000000,2021-02-08 21:35:40.000000,125,8.0,29.0,572,409.0,\"Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost.\",3.0,16,True,2020-08-29 18:48:20.000000,2.5.0,25.0,alphapy,,,,,2.0,2.0,https://pypi.org/project/alphapy,2020-08-29 18:44:15.000000,,72.0,72.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n761,Tensor Sensor,parrt/tensor-sensor,,pytorch-utils,https://github.com/parrt/tensor-sensor,https://github.com/parrt/tensor-sensor,MIT,2020-08-28 22:54:04.000000,2021-01-07 00:40:37.000000,2021-01-07 00:40:31.000000,24,5.0,12.0,536,155.0,The goal of this library is to generate more helpful exception messages for numpy/pytorch matrix algebra expressions.,2.0,16,True,2020-12-03 20:46:15.000000,0.1.1,34.0,tensor-sensor,,,,['pytorch'],2.0,2.0,https://pypi.org/project/tensor-sensor,2020-12-03 20:45:09.000000,,204.0,204.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n762,Auto Tune Models,HDI-Project/ATM,,hyperopt,https://github.com/HDI-Project/ATM,https://github.com/HDI-Project/ATM,MIT,2016-10-14 18:03:00.000000,2020-02-21 17:44:07.000000,2020-02-21 17:40:58.000000,127,17.0,71.0,505,775.0,\"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).\",16.0,16,False,2019-07-30 09:28:26.000000,0.2.2,14.0,atm,,,,,6.0,6.0,https://pypi.org/project/atm,2019-07-30 09:25:11.000000,,23.0,23.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n763,Sematch,gsi-upm/sematch,,graph,https://github.com/gsi-upm/sematch,https://github.com/gsi-upm/sematch,Apache-2.0,2012-11-30 11:11:53.000000,2020-11-05 21:20:52.000000,2019-03-27 03:17:24.000000,98,14.0,19.0,343,122.0,semantic similarity framework for knowledge graph.,5.0,16,False,2017-04-17 10:56:52.000000,1.0.4,5.0,sematch,,,,,30.0,27.0,https://pypi.org/project/sematch,2017-04-17 10:56:52.000000,3.0,55.0,55.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n764,atspy,firmai/atspy,,time-series-data,https://github.com/firmai/atspy,https://github.com/firmai/atspy,MIT,2020-01-28 05:00:10.000000,2020-12-01 13:53:03.000000,2020-11-12 16:15:26.000000,64,17.0,2.0,342,97.0,AtsPy: Automated Time Series Models in Python (by @firmai).,5.0,16,True,2020-11-12 16:10:48.000000,zen,39.0,atspy,,,,,3.0,3.0,https://pypi.org/project/atspy,2020-04-24 18:16:15.000000,,307.0,307.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n765,pdvega,altair-viz/pdvega,,data-viz,https://github.com/altair-viz/pdvega,https://github.com/altair-viz/pdvega,MIT,2018-01-11 21:30:27.000000,2019-03-29 16:09:14.000000,2019-03-29 16:09:13.000000,29,16.0,10.0,340,177.0,Interactive plotting for Pandas using Vega-Lite.,9.0,16,False,,,1.0,pdvega,,,,,55.0,48.0,https://pypi.org/project/pdvega,2018-02-01 04:56:43.000000,7.0,61.0,61.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n766,datmo,datmo/datmo,,ml-experiments,https://github.com/datmo/datmo,https://github.com/datmo/datmo,MIT,2017-11-03 05:46:43.000000,2019-11-29 00:48:45.000000,2019-11-29 00:48:44.000000,28,42.0,149.0,334,1051.0,Open source production model management tool for data scientists.,6.0,16,False,2018-12-07 06:16:42.000000,0.0.40,41.0,datmo,,,,,5.0,5.0,https://pypi.org/project/datmo,2018-12-07 06:16:42.000000,,24.0,24.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n767,DeepGraph,deepgraph/deepgraph,,graph,https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45.000000,2021-01-15 08:36:25.609000,2020-10-01 13:17:00.000000,35,7.0,5.0,233,160.0,Analyze Data with Pandas-based Networks. Documentation:.,2.0,16,True,2020-10-01 13:20:38.000000,0.2.3,13.0,deepgraph,conda-forge/deepgraph,,,['pandas'],1.0,1.0,https://pypi.org/project/deepgraph,2020-10-01 13:18:38.000000,,297.0,2263.0,https://anaconda.org/conda-forge/deepgraph,2021-01-15 08:36:25.609000,86514.0,,,,,3.0,,,-2.0,,,,,,,,,,,,,,,,,,,,\n768,Headliner,as-ideas/headliner,,nlp,https://github.com/as-ideas/headliner,https://github.com/as-ideas/headliner,MIT,2019-09-30 11:33:28.000000,2021-03-26 07:19:57.000000,2020-02-14 09:03:27.000000,38,1.0,13.0,222,276.0,Easy training and deployment of seq2seq models.,2.0,16,False,2020-01-24 09:06:29.000000,1.0.2,30.0,headliner,,,,,4.0,3.0,https://pypi.org/project/headliner,2020-01-24 09:06:29.000000,1.0,56.0,56.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n769,model-card-toolkit,tensorflow/model-card-toolkit,,interpretability,https://github.com/tensorflow/model-card-toolkit,https://github.com/tensorflow/model-card-toolkit,Apache-2.0,2020-07-24 16:48:58.000000,2021-03-30 23:39:59.000000,2021-03-30 23:39:52.000000,27,12.0,2.0,178,115.0,a tool that leverages rich metadata and lineage information in MLMD to build a model card.,9.0,16,True,2021-02-05 20:56:01.000000,0.1.3,4.0,model-card-toolkit,,,,,2.0,2.0,https://pypi.org/project/model-card-toolkit,2021-02-05 20:54:29.000000,,101.0,101.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n770,skggm,skggm/skggm,,sklearn-utils,https://github.com/skggm/skggm,https://github.com/skggm/skggm,MIT,2016-06-11 18:35:56.000000,2020-12-24 08:36:00.000000,2020-12-24 05:43:15.000000,31,28.0,47.0,178,691.0,Scikit-learn compatible estimation of general graphical models.,5.0,16,True,2018-09-12 01:12:49.000000,0.2.8,6.0,skggm,,,,['sklearn'],8.0,6.0,https://pypi.org/project/skggm,2018-09-12 01:12:49.000000,2.0,49.0,49.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n771,ipyexperiments,stas00/ipyexperiments,,gpu-utilities,https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40.000000,2021-03-28 18:24:12.000000,2021-03-28 18:23:45.000000,9,,4.0,132,196.0,jupyter/ipython experiment containers for GPU and general RAM re-use.,3.0,16,False,2021-03-28 03:39:09.000000,0.1.26,23.0,ipyexperiments,,,,['jupyter'],6.0,4.0,https://pypi.org/project/ipyexperiments,2021-03-28 03:39:09.000000,2.0,120.0,120.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n772,steppy,minerva-ml/steppy,,ml-experiments,https://github.com/minerva-ml/steppy,https://github.com/minerva-ml/steppy,MIT,2018-01-15 09:40:49.000000,2018-11-23 09:49:59.000000,2018-11-23 09:47:34.000000,31,16.0,50.0,128,69.0,\"Lightweight, Python library for fast and reproducible experimentation.\",5.0,16,False,2018-11-23 09:49:59.000000,0.1.16,16.0,steppy,,,,,44.0,39.0,https://pypi.org/project/steppy,2018-11-23 09:49:59.000000,5.0,24.0,24.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n773,celer,mathurinm/celer,,sklearn-utils,https://github.com/mathurinm/celer,https://github.com/mathurinm/celer,BSD-3-Clause,2018-02-20 19:37:31.000000,2021-03-24 14:54:18.000000,2021-03-10 12:25:00.000000,22,16.0,49.0,114,216.0,\"Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.\",9.0,16,False,2020-10-12 12:26:09.000000,0.5.1,10.0,celer,,,,['sklearn'],4.0,4.0,https://pypi.org/project/celer,2020-12-09 13:19:10.000000,,41.0,41.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n774,dabl,amueller/dabl,,sklearn-utils,https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49.000000,2021-02-27 01:32:09.000000,2020-07-08 16:14:41.000000,7,1.0,,71,252.0,Data Analysis Baseline Library.,18.0,16,False,2021-02-27 01:25:17.000000,0.2.0,11.0,dabl,,,,['sklearn'],,,https://pypi.org/project/dabl,2021-02-27 01:25:17.000000,,533.0,533.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n775,GraphEmbedding,shenweichen/GraphEmbedding,,graph,https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20.000000,2021-03-18 07:02:11.000000,2020-10-18 09:32:47.000000,570,27.0,13.0,1874,28.0,Implementation and experiments of graph embedding algorithms.,8.0,15,True,,,,,,,,['sklearn'],7.0,7.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n776,pycls,facebookresearch/pycls,,image,https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17.000000,2021-03-27 08:15:02.000000,2021-03-27 08:14:57.000000,160,11.0,44.0,1514,76.0,\"Codebase for Image Classification Research, written in PyTorch.\",10.0,15,True,2020-04-15 19:33:22.000000,0.1,1.0,,,,,['pytorch'],3.0,3.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n777,Xcessiv,reiinakano/xcessiv,,hyperopt,https://github.com/reiinakano/xcessiv,https://github.com/reiinakano/xcessiv,Apache-2.0,2017-03-07 18:18:25.000000,2018-06-06 22:23:37.000000,2017-08-21 00:51:15.000000,109,22.0,13.0,1258,316.0,\"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.\",6.0,15,False,2017-08-21 00:53:25.000000,0.5.1,34.0,xcessiv,,,,,2.0,1.0,https://pypi.org/project/xcessiv,2017-08-21 00:49:41.000000,1.0,20.0,20.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n778,zenml,maiot-io/zenml,,data-pipelines,https://github.com/maiot-io/zenml,https://github.com/maiot-io/zenml,Apache-2.0,2020-11-19 09:25:46.000000,2021-04-01 13:51:09.000000,2021-03-31 16:06:14.000000,50,16.0,21.0,1053,,ZenML : MLOps framework to create reproducible ML pipelines for production machine learning.,7.0,15,True,2021-03-30 14:09:29.000000,0.3.6,23.0,zenml,,,,,1.0,1.0,https://pypi.org/project/zenml,2021-03-30 12:54:56.000000,,153.0,153.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n779,aim,aimhubio/aim,,ml-experiments,https://github.com/aimhubio/aim,https://github.com/aimhubio/aim,Apache-2.0,2019-05-31 18:25:07.000000,2021-03-31 10:12:23.000000,2021-03-31 10:12:16.000000,53,92.0,49.0,1024,,\"Aim a super-easy way to record, search and compare 1000s of ML training runs.\",10.0,15,True,2019-11-06 08:06:11.000000,3.1.0,43.0,aim,,,,,2.0,,https://pypi.org/project/aim,2019-11-06 08:06:11.000000,2.0,767.0,767.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n780,Torch-Struct,harvardnlp/pytorch-struct,,pytorch-utils,https://github.com/harvardnlp/pytorch-struct,https://github.com/harvardnlp/pytorch-struct,MIT,2019-08-26 19:34:30.000000,2021-02-15 20:20:59.000000,2021-02-14 02:45:15.000000,71,18.0,24.0,917,261.0,\"Fast, general, and tested differentiable structured prediction in PyTorch.\",13.0,15,True,2021-02-15 20:20:59.000000,0.5,2.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n781,MedicalTorch,perone/medicaltorch,,medical-data,https://github.com/perone/medicaltorch,https://github.com/perone/medicaltorch,Apache-2.0,2018-02-27 02:50:07.000000,2020-09-30 13:21:57.000000,2019-08-15 10:03:51.000000,106,14.0,9.0,721,55.0,A medical imaging framework for Pytorch.,7.0,15,False,2018-11-24 00:33:11.000000,0.2,2.0,medicaltorch,,,,['pytorch'],10.0,10.0,https://pypi.org/project/medicaltorch,2018-11-24 00:29:36.000000,,67.0,67.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n782,torchsde,google-research/torchsde,,pytorch-utils,https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11.000000,2021-03-21 23:37:09.000000,2021-03-21 23:37:09.000000,62,5.0,29.0,690,148.0,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,4.0,15,True,2021-01-05 18:31:38.000000,0.2.4,4.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n783,Translate,pytorch/translate,,nlp,https://github.com/pytorch/translate,https://github.com/pytorch/translate,BSD-3-Clause,2018-04-24 16:44:04.000000,2021-03-04 21:32:58.000000,2021-03-04 21:32:51.000000,162,66.0,27.0,686,805.0,Translate - a PyTorch Language Library.,85.0,15,True,,,1.0,pytorch-translate,,,,['pytorch'],,,https://pypi.org/project/pytorch-translate,2018-05-01 19:59:40.000000,,6.0,6.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n784,HyperparameterHunter,HunterMcGushion/hyperparameter_hunter,,hyperopt,https://github.com/HunterMcGushion/hyperparameter_hunter,https://github.com/HunterMcGushion/hyperparameter_hunter,MIT,2018-06-01 23:17:00.000000,2021-01-20 03:52:41.000000,2021-01-20 03:52:40.000000,83,37.0,84.0,646,1096.0,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries.,4.0,15,True,2019-08-06 09:09:45.000000,3.0.0,16.0,hyperparameter-hunter,,,,,2.0,,https://pypi.org/project/hyperparameter-hunter,2019-08-06 08:52:20.000000,2.0,30.0,38.0,,,,,,,,3.0,270.0,,,,,,,,,,,,,,,,,,,,,,\n785,XAI,EthicalML/xai,,interpretability,https://github.com/EthicalML/xai,https://github.com/EthicalML/xai,MIT,2019-01-11 20:00:09.000000,2019-10-05 10:34:58.000000,2019-10-05 10:34:50.000000,90,4.0,3.0,603,83.0,XAI - An eXplainability toolbox for machine learning.,2.0,15,False,2019-04-21 14:53:12.000000,0.0.5,5.0,xai,,,,,17.0,11.0,https://pypi.org/project/xai,2019-04-21 14:53:12.000000,6.0,125.0,125.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n786,ThunderGBM,Xtra-Computing/thundergbm,,ml-frameworks,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08.000000,2021-04-01 02:08:51.000000,2021-01-05 04:22:15.000000,73,19.0,28.0,587,606.0,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,10.0,15,True,2020-05-01 23:16:25.000000,0.3.16,24.0,thundergbm,,,,,,,https://pypi.org/project/thundergbm,2020-05-01 23:16:25.000000,,16.0,16.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n787,cuSignal,rapidsai/cusignal,,gpu-utilities,https://github.com/rapidsai/cusignal,https://github.com/rapidsai/cusignal,Apache-2.0,2019-08-22 14:27:27.000000,2021-03-31 14:45:20.000000,2021-03-26 20:23:57.000000,61,15.0,92.0,464,,GPU accelerated signal processing.,29.0,15,True,2021-02-24 18:04:23.000000,0.18.0,6.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n788,kglib,graknlabs/kglib,,graph,https://github.com/graknlabs/kglib,https://github.com/graknlabs/kglib,Apache-2.0,2018-09-16 16:46:48.000000,2021-01-15 11:17:51.000000,2021-01-15 11:17:51.000000,75,10.0,49.0,409,487.0,Grakn Knowledge Graph Library (ML R&D).,7.0,15,True,2020-08-19 15:39:10.000000,0.2.2,7.0,grakn-kglib,,,,,,,https://pypi.org/project/grakn-kglib,2020-08-19 15:39:10.000000,,33.0,40.0,,,,,,,,3.0,207.0,,,,,,,,,,,,,,,,,,,,,,\n789,tfdeploy,riga/tfdeploy,,model-serialisation,https://github.com/riga/tfdeploy,https://github.com/riga/tfdeploy,BSD-3-Clause,2016-03-07 13:08:21.000000,2021-01-08 09:52:54.000000,2021-01-08 09:52:49.000000,38,10.0,23.0,346,170.0,Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.,4.0,15,True,2017-03-30 10:51:26.000000,0.4.2,22.0,tfdeploy,,,,['tensorflow'],2.0,,https://pypi.org/project/tfdeploy,2017-03-30 10:51:26.000000,2.0,32.0,32.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n790,VizSeq,facebookresearch/vizseq,,nlp,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38.000000,2021-03-09 22:59:10.000000,2021-03-09 22:59:06.000000,40,7.0,8.0,320,44.0,\"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).\",3.0,15,True,2020-08-07 01:13:52.000000,0.1.15,16.0,vizseq,,,,,2.0,2.0,https://pypi.org/project/vizseq,2020-08-07 01:13:52.000000,,93.0,93.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n791,LOFO,aerdem4/lofo-importance,,interpretability,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46.000000,2021-01-27 13:57:42.000000,2020-07-02 11:49:52.000000,40,1.0,10.0,314,24.0,Leave One Feature Out Importance.,3.0,15,True,2020-07-02 11:44:57.000000,0.2.6,9.0,lofo-importance,,,,,3.0,3.0,https://pypi.org/project/lofo-importance,2020-07-02 11:44:57.000000,,77.0,77.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n792,Parfit,jmcarpenter2/parfit,,hyperopt,https://github.com/jmcarpenter2/parfit,https://github.com/jmcarpenter2/parfit,MIT,2017-11-22 20:17:51.000000,2020-04-04 19:26:44.000000,2020-04-04 19:26:37.000000,25,6.0,5.0,197,127.0,\"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..\",2.0,15,True,,,23.0,parfit,,,,['sklearn'],8.0,8.0,https://pypi.org/project/parfit,2018-10-11 22:03:16.000000,,1945.0,1945.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n793,NeuralQA,victordibia/neuralqa,,nlp,https://github.com/victordibia/neuralqa,https://github.com/victordibia/neuralqa,MIT,2020-05-19 03:55:56.000000,2021-03-25 23:57:21.000000,2020-12-16 17:41:37.000000,24,21.0,8.0,187,312.0,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,3.0,15,True,,,27.0,neuralqa,,,,,2.0,2.0,https://pypi.org/project/neuralqa,2020-09-18 17:54:50.000000,,36.0,36.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n794,Julius,adefossez/julius,,audio,https://github.com/adefossez/julius,https://github.com/adefossez/julius,MIT,2020-10-26 10:54:21.000000,2021-03-03 09:48:59.000000,2021-03-03 09:27:16.000000,6,1.0,4.0,181,,Fast PyTorch based DSP for audio and 1D signals.,2.0,15,True,2021-03-03 09:48:59.000000,0.2.3,7.0,julius,,,,['pytorch'],8.0,8.0,https://pypi.org/project/julius,2021-03-03 09:48:59.000000,0.0,824.0,824.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n795,pyRDF2Vec,IBCNServices/pyRDF2Vec,,graph,https://github.com/IBCNServices/pyRDF2Vec,https://github.com/IBCNServices/pyRDF2Vec,MIT,2019-06-13 11:36:12.000000,2021-04-01 14:52:22.000000,2021-04-01 14:50:10.000000,19,4.0,28.0,104,1057.0,Python Implementation and Extension of RDF2Vec.,5.0,15,False,2021-03-22 11:04:07.000000,0.2.1,9.0,pyrdf2vec,,,,,,,https://pypi.org/project/pyrdf2vec,2021-03-22 11:01:53.000000,,90.0,90.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n796,contextual-ai,SAP/contextual-ai,,interpretability,https://github.com/SAP/contextual-ai,https://github.com/SAP/contextual-ai,Apache-2.0,2020-05-12 07:15:56.000000,2021-03-25 23:48:34.000000,2021-01-25 04:03:23.000000,9,4.0,1.0,67,621.0,\"Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference -..\",10.0,15,False,2021-01-25 04:56:57.000000,0.0.2,2.0,contextual-ai,,,,,,,https://pypi.org/project/contextual-ai,2021-01-25 04:56:57.000000,,79.0,79.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n797,DE⫶TR,facebookresearch/detr,,image,https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52.000000,2021-02-19 06:34:49.000000,2020-11-15 16:03:45.000000,1020,74.0,224.0,6552,41.0,End-to-End Object Detection with Transformers.,19.0,14,True,2020-06-29 16:41:01.000000,0.2,1.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n798,PySlowFast,facebookresearch/SlowFast,,image,https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26.000000,2021-03-24 09:38:55.000000,2021-03-23 19:31:09.000000,656,181.0,187.0,3459,106.0,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,20.0,14,True,,,,,,,,['pytorch'],2.0,2.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n799,OpenNRE,thunlp/OpenNRE,,nlp,https://github.com/thunlp/OpenNRE,https://github.com/thunlp/OpenNRE,MIT,2017-02-26 07:37:12.000000,2021-03-09 04:16:47.000000,2021-03-09 04:16:47.000000,864,21.0,287.0,3037,139.0,An Open-Source Package for Neural Relation Extraction (NRE).,9.0,14,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n800,Euler,alibaba/euler,,graph,https://github.com/alibaba/euler,https://github.com/alibaba/euler,Apache-2.0,2019-01-10 06:32:32.000000,2020-07-29 05:53:02.000000,2020-07-29 05:53:01.000000,510,203.0,100.0,2533,8.0,A distributed graph deep learning framework.,5.0,14,True,2020-07-07 02:24:18.000000,2.0.0,2.0,euler-gl,,,,['tensorflow'],,,https://pypi.org/project/euler-gl,2019-04-10 01:53:45.000000,,7.0,7.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n801,GraphSAGE,williamleif/GraphSAGE,,graph,https://github.com/williamleif/GraphSAGE,https://github.com/williamleif/GraphSAGE,MIT,2017-05-29 15:36:22.000000,2021-02-02 21:46:42.000000,2018-09-19 19:27:00.000000,631,85.0,58.0,2242,59.0,Representation learning on large graphs using stochastic graph convolutions.,9.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n802,ZhuSuan,thu-ml/zhusuan,,probabilistics,https://github.com/thu-ml/zhusuan,https://github.com/thu-ml/zhusuan,MIT,2016-07-18 13:31:38.000000,2020-01-09 14:51:27.000000,2019-08-05 10:00:04.000000,386,8.0,53.0,2021,439.0,\"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.\",20.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n803,OpenNE,thunlp/OpenNE,,graph,https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20.000000,2021-03-22 13:16:57.000000,2019-08-12 10:56:27.000000,445,50.0,82.0,1435,98.0,An Open-Source Package for Network Embedding (NE).,10.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n804,Anchor,marcotcr/anchor,,interpretability,https://github.com/marcotcr/anchor,https://github.com/marcotcr/anchor,BSD-2-Clause,2018-02-02 23:38:50.000000,2020-09-10 17:49:26.000000,2020-09-10 17:48:28.000000,87,14.0,46.0,630,39.0,Code for High-Precision Model-Agnostic Explanations paper.,8.0,14,True,,,8.0,anchor_exp,,,,,,,https://pypi.org/project/anchor_exp,2020-06-26 20:56:50.000000,,165.0,165.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n805,Tez,abhishekkrthakur/tez,,pytorch-utils,https://github.com/abhishekkrthakur/tez,https://github.com/abhishekkrthakur/tez,Apache-2.0,2020-11-13 10:19:22.000000,2021-03-06 18:36:45.000000,2021-03-06 18:36:45.000000,77,11.0,7.0,584,,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,1.0,14,True,2021-01-29 07:26:14.000000,0.1.2,9.0,tez,,,,['pytorch'],,,https://pypi.org/project/tez,2021-01-29 07:26:14.000000,,256.0,256.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n806,FlashTorch,MisaOgura/flashtorch,,interpretability,https://github.com/MisaOgura/flashtorch,https://github.com/MisaOgura/flashtorch,MIT,2019-03-22 13:00:57.000000,2020-12-14 23:09:26.000000,2020-05-29 14:37:29.000000,65,6.0,21.0,565,126.0,Visualization toolkit for neural networks in PyTorch! Demo --.,2.0,14,True,2020-05-29 14:39:38.000000,0.1.3,12.0,flashtorch,,,,['pytorch'],6.0,6.0,https://pypi.org/project/flashtorch,2020-05-29 14:38:32.000000,,76.0,76.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n807,PandaPy,firmai/pandapy,,data-containers,https://github.com/firmai/pandapy,https://github.com/firmai/pandapy,MIT,2020-01-15 18:21:23.000000,2020-11-12 16:18:45.000000,2020-11-12 16:18:44.000000,47,2.0,1.0,474,83.0,PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai).,3.0,14,True,2020-11-12 16:12:54.000000,zen,22.0,pandapy,,,,['pandas'],1.0,1.0,https://pypi.org/project/pandapy,2020-01-25 23:10:32.000000,,23.0,23.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n808,OpenRec,ylongqi/openrec,,recommender-systems,https://github.com/ylongqi/openrec,https://github.com/ylongqi/openrec,Apache-2.0,2017-11-29 16:04:40.000000,2020-11-13 17:47:17.000000,2020-02-19 07:57:17.000000,80,4.0,12.0,364,213.0,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms.,10.0,14,False,2020-02-18 06:52:11.000000,0.3.0,12.0,openrec,,,,,2.0,1.0,https://pypi.org/project/openrec,2020-02-18 06:52:11.000000,1.0,8.0,8.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n809,Pywick,achaiah/pywick,,pytorch-utils,https://github.com/achaiah/pywick,https://github.com/achaiah/pywick,MIT,2019-03-25 15:42:47.000000,2021-03-08 15:28:01.000000,2021-03-01 17:17:46.000000,35,3.0,9.0,322,118.0,High-level batteries-included neural network training library for Pytorch.,4.0,14,True,2020-01-20 22:14:21.000000,0.5.6,6.0,pywick,,,,['pytorch'],2.0,2.0,https://pypi.org/project/pywick,2020-01-20 22:14:21.000000,,20.0,20.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n810,TransferNLP,feedly/transfer-nlp,,nlp,https://github.com/feedly/transfer-nlp,https://github.com/feedly/transfer-nlp,MIT,2019-03-12 20:00:31.000000,2020-05-28 19:00:02.000000,2020-05-28 17:31:53.000000,18,4.0,19.0,287,465.0,NLP library designed for reproducible experimentation management.,7.0,14,True,2020-05-28 19:00:02.000000,0.1.6,8.0,transfer-nlp,,,,['pytorch'],,,https://pypi.org/project/transfer-nlp,2020-05-28 19:00:02.000000,,57.0,57.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n811,data-describe,data-describe/data-describe,,data-viz,https://github.com/data-describe/data-describe,https://github.com/data-describe/data-describe,Apache-2.0,2020-05-04 17:58:14.000000,2021-04-01 06:51:33.000000,2021-03-02 19:30:45.000000,14,70.0,174.0,270,695.0,datadescribe: Pythonic EDA Accelerator for Data Science.,14.0,14,True,,,5.0,data-describe,,,,,,,https://pypi.org/project/data-describe,2020-12-03 23:07:43.000000,,86.0,86.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n812,Auptimizer,LGE-ARC-AdvancedAI/auptimizer,,hyperopt,https://github.com/LGE-ARC-AdvancedAI/auptimizer,https://github.com/LGE-ARC-AdvancedAI/auptimizer,GPL-3.0,2019-09-12 01:08:37.000000,2021-03-03 01:50:33.000000,2021-03-03 01:30:06.000000,21,1.0,5.0,168,79.0,An automatic ML model optimization tool.,11.0,14,False,2021-03-03 02:00:23.000000,2.0,7.0,auptimizer,,,,,,,https://pypi.org/project/auptimizer,2021-03-02 02:40:32.000000,,93.0,93.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n813,nx-altair,Zsailer/nx_altair,,data-viz,https://github.com/Zsailer/nx_altair,https://github.com/Zsailer/nx_altair,MIT,2018-05-13 00:10:12.000000,2020-09-30 12:01:08.000000,2020-06-02 21:10:26.000000,20,5.0,4.0,160,51.0,Draw interactive NetworkX graphs with Altair.,3.0,14,True,2020-06-02 21:11:12.000000,0.1.6,8.0,nx-altair,,,,['jupyter'],4.0,,https://pypi.org/project/nx-altair,2020-06-02 21:11:12.000000,4.0,100.0,100.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n814,ModelChimp,ModelChimp/modelchimp,,ml-experiments,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03.000000,2021-04-01 02:16:56.000000,2021-02-15 13:37:13.000000,12,4.0,10.0,121,361.0,Experiment tracking for machine and deep learning projects.,3.0,14,False,2019-04-09 10:43:15.000000,0.4.0,37.0,modelchimp,,modelchimp/modelchimp-server,,,,,https://pypi.org/project/modelchimp,2019-04-09 10:41:20.000000,,82.0,104.0,,,,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,638.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n815,StarSpace,facebookresearch/StarSpace,,ml-frameworks,https://github.com/facebookresearch/StarSpace,https://github.com/facebookresearch/StarSpace,MIT,2017-06-28 17:50:18.000000,2020-05-18 03:40:57.000000,2019-12-13 19:03:25.000000,494,50.0,146.0,3575,138.0,\"Learning embeddings for classification, retrieval and ranking.\",17.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n816,OpenKE,thunlp/OpenKE,,graph,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,MIT,2017-10-08 11:20:23.000000,2020-04-08 11:00:38.000000,2020-04-08 11:00:32.000000,776,60.0,224.0,2487,97.0,An Open-Source Package for Knowledge Embedding (KE).,10.0,13,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n817,ENAS,carpedm20/ENAS-pytorch,,hyperopt,https://github.com/carpedm20/ENAS-pytorch,https://github.com/carpedm20/ENAS-pytorch,Apache-2.0,2018-02-15 04:54:37.000000,2020-12-09 18:13:03.000000,2020-06-16 07:23:32.000000,449,37.0,7.0,2406,53.0,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,6.0,13,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n818,Medical Detection Toolkit,MIC-DKFZ/medicaldetectiontoolkit,,medical-data,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,Apache-2.0,2018-10-12 12:34:57.000000,2021-03-30 11:54:29.000000,2021-03-30 11:54:21.000000,237,27.0,85.0,923,37.0,\"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..\",3.0,13,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n819,AutoGL,THUMNLab/AutoGL,,graph,https://github.com/THUMNLab/AutoGL,https://github.com/THUMNLab/AutoGL,MIT,2020-11-30 14:26:22.000000,2021-03-31 01:53:02.000000,2021-02-07 03:05:02.000000,59,5.0,4.0,598,,An autoML framework & toolkit for machine learning on graphs.,5.0,13,True,2020-12-23 08:15:15.000000,0.1.1,2.0,auto-graph-learning,,,,['pytorch'],,,https://pypi.org/project/auto-graph-learning,2020-12-23 08:05:25.000000,,20.0,20.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n820,NeoML,neoml-lib/neoml,,ml-frameworks,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000000,2021-04-01 12:01:01.000000,2021-03-31 18:07:41.000000,83,38.0,13.0,573,291.0,Machine learning framework for both deep learning and traditional algorithms.,20.0,13,True,2020-06-14 17:44:03.000000,NeoML-master_1.0.1.0,1.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n821,Adversary,airbnb/artificial-adversary,,adversarial,https://github.com/airbnb/artificial-adversary,https://github.com/airbnb/artificial-adversary,MIT,2018-08-08 04:42:11.000000,2018-10-14 05:34:44.000000,2018-08-29 15:31:30.000000,51,6.0,,348,15.0,Tool to generate adversarial text examples and test machine learning models against them.,5.0,13,False,2018-08-29 15:14:41.000000,1.1.1,3.0,Adversary,,,,,6.0,6.0,https://pypi.org/project/Adversary,2018-08-29 15:14:41.000000,0.0,17.0,17.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n822,textvec,textvec/textvec,,nlp,https://github.com/textvec/textvec,https://github.com/textvec/textvec,MIT,2018-04-12 14:03:53.000000,2020-12-03 14:23:11.000000,2020-12-03 14:23:04.000000,21,2.0,6.0,168,70.0,Text vectorization tool to outperform TFIDF for classification tasks.,5.0,13,True,2019-09-12 07:41:04.000000,2.0,4.0,textvec,,,,['sklearn'],2.0,2.0,https://pypi.org/project/textvec,2020-12-03 14:17:09.000000,,38.0,38.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n823,ONNX-T5,abelriboulot/onnxt5,,nlp,https://github.com/abelriboulot/onnxt5,https://github.com/abelriboulot/onnxt5,Apache-2.0,2020-08-01 09:38:35.000000,2021-01-28 09:26:15.000000,2021-01-28 09:24:52.000000,19,5.0,6.0,145,74.0,\"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..\",3.0,13,False,2021-01-28 09:26:15.000000,0.1.8,11.0,onnxt5,,,,,,,https://pypi.org/project/onnxt5,2021-01-28 09:26:15.000000,,35.0,35.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n824,DeepNeuro,QTIM-Lab/DeepNeuro,,medical-data,https://github.com/QTIM-Lab/DeepNeuro,https://github.com/QTIM-Lab/DeepNeuro,MIT,2017-06-01 19:36:34.000000,2020-06-24 13:00:15.000000,2020-06-24 13:00:14.000000,32,27.0,16.0,101,285.0,A deep learning python package for neuroimaging data. Made by:.,6.0,13,False,2019-06-10 21:04:04.000000,0.2.3,6.0,deepneuro,,,,,1.0,1.0,https://pypi.org/project/deepneuro,2019-06-10 21:04:04.000000,,18.0,18.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n825,Hypermax,electricbrainio/hypermax,,hyperopt,https://github.com/electricbrainio/hypermax,https://github.com/electricbrainio/hypermax,BSD-3-Clause,2018-07-27 18:43:01.000000,2020-08-02 18:08:50.000000,2020-08-02 18:08:46.000000,15,3.0,1.0,96,207.0,\"Better, faster hyper-parameter optimization.\",9.0,13,False,2019-10-23 15:40:12.000000,0.5.1,11.0,hypermax,,,,,4.0,4.0,https://pypi.org/project/hypermax,2019-10-23 15:40:12.000000,,6.0,6.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n826,Attribution Priors,suinleelab/attributionpriors,,interpretability,https://github.com/suinleelab/attributionpriors,https://github.com/suinleelab/attributionpriors,MIT,2019-06-24 23:54:24.000000,2021-03-19 19:43:58.000000,2021-03-19 19:43:51.000000,5,1.0,3.0,75,72.0,Tools for training explainable models using attribution priors.,6.0,13,False,2021-03-16 17:47:18.000000,1.0.0,4.0,attributionpriors,,,,\"['tensorflow', 'pytorch']\",2.0,2.0,https://pypi.org/project/attributionpriors,2019-10-31 18:03:05.000000,,11.0,11.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n827,LazyCluster,ml-tooling/lazycluster,,distributed-ml,https://github.com/ml-tooling/lazycluster,https://github.com/ml-tooling/lazycluster,Apache-2.0,2019-08-07 08:05:13.000000,2021-03-30 02:36:26.000000,2020-12-14 15:24:53.000000,6,,,33,,Distributed machine learning made simple.,2.0,13,False,2020-12-14 15:25:59.000000,0.2.4,5.0,lazycluster,,,,,3.0,3.0,https://pypi.org/project/lazycluster,2020-12-14 14:49:33.000000,,77.0,77.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n828,nptsne,biovault/nptsne,,data-viz,https://github.com/biovault/nptsne,https://github.com/biovault/nptsne,Apache-2.0,2019-06-28 08:40:25.000000,2021-03-08 15:54:27.000000,2021-02-03 08:52:27.000000,2,6.0,5.0,25,857.0,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,3.0,13,False,2020-09-10 23:54:14.000000,1.1.0,2.0,nptsne,,,,,2.0,2.0,https://pypi.org/project/nptsne,2020-09-10 23:54:14.000000,,45.0,45.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n829,micrograd,karpathy/micrograd,,pytorch-utils,https://github.com/karpathy/micrograd,https://github.com/karpathy/micrograd,MIT,2020-04-13 04:31:18.000000,2020-12-18 12:55:50.000000,2020-04-18 19:15:25.000000,121,2.0,3.0,1625,24.0,A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.,2.0,12,True,2020-04-18 19:06:59.000000,0.1.0,1.0,micrograd,,,,['pytorch'],1.0,1.0,https://pypi.org/project/micrograd,2020-04-18 19:06:59.000000,0.0,12.0,12.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n830,surpriver,tradytics/surpriver,,financial-data,https://github.com/tradytics/surpriver,https://github.com/tradytics/surpriver,GPL-3.0,2020-08-30 07:56:22.000000,2020-11-13 00:48:16.000000,2020-09-21 04:32:05.000000,216,10.0,5.0,1171,64.0,Find big moving stocks before they move using machine learning and anomaly detection.,6.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n831,GraphVite,DeepGraphLearning/graphvite,,graph,https://github.com/DeepGraphLearning/graphvite,https://github.com/DeepGraphLearning/graphvite,Apache-2.0,2019-07-16 15:48:20.000000,2021-01-14 02:19:03.000000,2021-01-14 02:18:46.000000,119,26.0,55.0,869,15.0,GraphVite: A General and High-performance Graph Embedding System.,1.0,12,True,,,4.0,,milagraph/graphvite,,,,,,,,,,181.0,https://anaconda.org/milagraph/graphvite,2020-03-19 18:21:30.972000,3629.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n832,featurewiz,AutoViML/featurewiz,,hyperopt,https://github.com/AutoViML/featurewiz,https://github.com/AutoViML/featurewiz,Apache-2.0,2020-11-29 16:46:16.000000,2021-03-26 02:07:46.000000,2021-03-26 02:06:21.000000,14,,,43,,Use advanced feature engineering strategies and select the best features from your data set fast with a single line of..,1.0,12,False,2021-03-25 14:45:32.000000,0.0.32,33.0,featurewiz,,,,,,,https://pypi.org/project/featurewiz,2021-03-26 02:07:46.000000,,226.0,226.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n833,MedicalNet,Tencent/MedicalNet,,medical-data,https://github.com/Tencent/MedicalNet,https://github.com/Tencent/MedicalNet,MIT,2019-07-17 09:53:10.000000,2020-08-27 13:37:27.000000,2020-08-27 13:37:26.000000,293,44.0,14.0,1075,26.0,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,1.0,11,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n834,Devol,joeddav/devol,,hyperopt,https://github.com/joeddav/devol,https://github.com/joeddav/devol,MIT,2017-02-10 03:07:54.000000,2020-07-05 21:56:59.000000,2020-07-05 21:56:58.000000,108,7.0,20.0,926,116.0,Genetic neural architecture search with Keras.,18.0,11,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n835,PySparNN,facebookresearch/pysparnn,,nn-search,https://github.com/facebookresearch/pysparnn,https://github.com/facebookresearch/pysparnn,BSD-3-Clause,2016-03-28 20:43:42.000000,2020-10-02 06:01:01.000000,2018-01-31 16:50:23.000000,142,13.0,14.0,866,147.0,Approximate Nearest Neighbor Search for Sparse Data in Python!.,5.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n836,bias-detector,intuit/bias-detector,,interpretability,https://github.com/intuit/bias-detector,https://github.com/intuit/bias-detector,MIT,2021-02-02 16:58:52.000000,2021-02-14 12:06:08.000000,2021-02-14 12:06:02.000000,4,,,19,,Bias Detector is a python package for detecting bias in machine learning models.,3.0,11,False,2021-02-09 11:20:10.000000,0.0.11,10.0,bias-detector,,,,,,,https://pypi.org/project/bias-detector,2021-02-09 11:20:10.000000,,98.0,98.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n837,traintool,jrieke/traintool,,ml-experiments,https://github.com/jrieke/traintool,https://github.com/jrieke/traintool,Apache-2.0,2020-09-30 22:23:05.000000,2021-03-12 01:44:04.000000,2021-03-12 01:43:14.000000,1,,,9,122.0,Train off-the-shelf machine learning models in one line of code.,,11,False,2020-11-02 02:25:32.000000,0.0.3,3.0,traintool,,,,\"['pytorch', 'tensorflow', 'sklearn']\",,,https://pypi.org/project/traintool,2020-11-02 02:25:32.000000,,8.0,8.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n838,traingenerator,jrieke/traingenerator,,others,https://github.com/jrieke/traingenerator,https://github.com/jrieke/traingenerator,MIT,2020-12-03 16:47:16.000000,2021-03-03 18:43:40.000000,2021-01-20 23:05:06.000000,128,9.0,3.0,955,,A web app to generate template code for machine learning.,3.0,10,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n839,Mozart,aashrafh/Mozart,,ocr,https://github.com/aashrafh/Mozart,https://github.com/aashrafh/Mozart,Apache-2.0,2020-12-14 11:49:14.000000,2021-02-11 08:19:14.000000,2021-01-14 17:13:58.000000,39,2.0,1.0,247,,An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.,5.0,10,True,,,,,,,,['sklearn'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n840,Hypertunity,gdikov/hypertunity,,hyperopt,https://github.com/gdikov/hypertunity,https://github.com/gdikov/hypertunity,Apache-2.0,2019-06-02 12:04:55.000000,2020-01-26 23:14:49.000000,2020-01-26 22:53:29.000000,9,,2.0,120,64.0,A toolset for black-box hyperparameter optimisation.,2.0,10,False,2020-01-26 23:08:16.000000,1.0.1,7.0,hypertunity,,,,,2.0,2.0,https://pypi.org/project/hypertunity,2020-01-26 23:08:16.000000,,3.0,3.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n841,bodywork-core,bodywork-ml/bodywork-core,,data-pipelines,https://github.com/bodywork-ml/bodywork-core,https://github.com/bodywork-ml/bodywork-core,AGPL-3.0,2020-11-17 11:38:17.000000,2021-03-31 20:38:29.000000,2021-03-31 20:34:08.000000,9,,17.0,147,272.0,\"Deploy machine learning projects developed in Python, to Kubernetes. Accelerated MLOps.\",4.0,9,False,,,,bodywork-core,,,,,,,https://pypi.org/project/bodywork-core,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,True\n"
  },
  {
    "path": "history/2021-04-08_changes.md",
    "content": "## 📈 Trending Up\n\n_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._\n\n- <b><a href=\"https://github.com/pandas-dev/pandas\">pandas</a></b> (🥇43 ·  ⭐ 29K · 📈) - Flexible and powerful data analysis / manipulation library for.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1S\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/networkx/networkx\">networkx</a></b> (🥇35 ·  ⭐ 8.9K · 📈) - Network Analysis in Python. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/Toblerity/Shapely\">Shapely</a></b> (🥇34 ·  ⭐ 2.2K · 📈) - Manipulation and analysis of geometric objects. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/mapbox/rasterio\">Rasterio</a></b> (🥈32 ·  ⭐ 1.5K · 📈) - Rasterio reads and writes geospatial raster datasets. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/opencv/opencv-python\">opencv-python</a></b> (🥇31 ·  ⭐ 1.9K · 📈) - Automated CI toolchain to produce precompiled opencv-python,.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/hill-a/stable-baselines\">Stable Baselines</a></b> (🥈26 ·  ⭐ 3.1K · 📈) - A fork of OpenAI Baselines, implementations of.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/iskandr/fancyimpute\">fancyimpute</a></b> (🥈26 ·  ⭐ 950 · 📈) - Multivariate imputation and matrix completion.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/jmcarpenter2/swifter\">swifter</a></b> (🥉25 ·  ⭐ 1.6K · 📈) - A package which efficiently applies any function to a pandas.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1S\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/libvips/pyvips\">pyvips</a></b> (🥉24 ·  ⭐ 310 · 📈) - python binding for libvips using cffi. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/Epistimio/orion\">Orion</a></b> (🥈24 ·  ⭐ 190 · 📈) - Asynchronous Distributed Hyperparameter Optimization. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n\n## 📉 Trending Down\n\n_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._\n\n- <b><a href=\"https://github.com/huggingface/tokenizers\">Tokenizers</a></b> (🥈27 ·  ⭐ 4.4K · 📉) - Fast State-of-the-Art Tokenizers optimized for Research and.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/mozilla/DeepSpeech\">DeepSpeech</a></b> (🥈26 ·  ⭐ 17K · 📉) - DeepSpeech is an open source embedded (offline, on-.. <code><a href=\"http://bit.ly/3postzC\">MPL-2.0</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/google-research/text-to-text-transfer-transformer\">T5</a></b> (🥉23 ·  ⭐ 3.3K · 📉) - Code for the paper Exploring the Limits of Transfer Learning with.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n\n"
  },
  {
    "path": "history/2021-04-08_projects.csv",
    "content": ",name,github_id,resource,category,github_url,homepage,license,created_at,updated_at,last_commit_pushed_at,fork_count,open_issue_count,closed_issue_count,star_count,commit_count,description,contributor_count,projectrank,show,latest_stable_release_published_at,latest_stable_release_number,release_count,pypi_id,conda_id,dockerhub_id,docs_url,labels,dependent_project_count,github_dependent_project_count,pypi_url,pypi_latest_release_published_at,pypi_dependent_project_count,pypi_monthly_downloads,monthly_downloads,conda_url,conda_latest_release_published_at,conda_total_downloads,dockerhub_url,dockerhub_latest_release_published_at,dockerhub_stars,dockerhub_pulls,projectrank_placing,github_release_downloads,trending,helm_id,npm_id,npm_url,npm_latest_release_published_at,npm_dependent_project_count,npm_monthly_downloads,conda_dependent_project_count,brew_id,apt_id,yum_id,updated_github_id,snap_id,dnf_id,yay_id,maven_id,maven_url,maven_latest_release_published_at,maven_dependent_project_count,gitlab_id,gitlab_url\n0,ANN Benchmarks,erikbern/ann-benchmarks,True,nn-search,https://github.com/erikbern/ann-benchmarks,https://github.com/erikbern/ann-benchmarks,MIT,2015-05-28 13:21:43.000000,2021-04-06 16:22:39.000000,2021-04-06 16:22:36.000000,335,27.0,60.0,2149,1179.0,Benchmarks of approximate nearest neighbor libraries in Python.,54.0,0,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n1,best-of-web-python - Web Scraping,ml-tooling/best-of-web-python,True,web-scraping,https://github.com/ml-tooling/best-of-web-python,https://github.com/ml-tooling/best-of-web-python,CC-BY-SA-4.0,2021-01-05 13:09:27.000000,2021-04-08 15:14:57.000000,2021-04-04 19:10:11.000000,71,,2.0,1149,,Collection of web-scraping and crawling libraries.,6.0,0,True,2021-04-04 19:10:52.000000,2021.04.01,12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n2,best-of-python - DB Clients,ml-tooling/best-of-python,True,db-clients,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#database-clients,CC-BY-SA-4.0,2021-01-11 19:11:32.000000,2021-04-08 14:48:54.000000,2021-04-08 14:48:53.000000,111,,3.0,1548,,Collection of database clients for python.,5.0,0,True,2021-04-08 14:49:01.000000,2021.04.08,12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n3,Tensorflow,tensorflow/tensorflow,,ml-frameworks,https://github.com/tensorflow/tensorflow,https://github.com/tensorflow/tensorflow,Apache-2.0,2015-11-07 01:19:20.000000,2021-04-08 13:57:07.422189,2021-04-08 13:28:23.000000,84359,4031.0,27202.0,156570,108359.0,An Open Source Machine Learning Framework for Everyone.,3606.0,44,True,2021-01-21 19:55:54.000000,2.4.1,117.0,tensorflow,conda-forge/tensorflow,tensorflow/tensorflow,https://www.tensorflow.org/overview,['tensorflow'],152648.0,130124.0,https://pypi.org/project/tensorflow,2021-04-01 23:34:05.000000,22524.0,8187835.0,8991974.0,https://anaconda.org/conda-forge/tensorflow,2020-07-15 22:30:18.070000,2457378.0,https://hub.docker.com/r/tensorflow/tensorflow,2021-04-08 13:57:07.422189,1881.0,49650606.0,1.0,,,,,,,,,,,,,,,,,,,,,,\n4,pandas,pandas-dev/pandas,,data-containers,https://github.com/pandas-dev/pandas,https://github.com/pandas-dev/pandas,BSD-3-Clause,2010-08-24 01:37:33.000000,2021-04-08 14:55:23.000000,2021-04-08 14:43:38.000000,12167,3752.0,16738.0,29271,26429.0,\"Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R..\",2645.0,43,True,2021-03-02 12:03:23.000000,1.2.3,89.0,pandas,conda-forge/pandas,,,['pandas'],493796.0,417012.0,https://pypi.org/project/pandas,2021-02-09 13:20:50.000000,76784.0,43116155.0,43377770.0,https://anaconda.org/conda-forge/pandas,2021-03-02 16:53:17.820000,15366311.0,,,,,1.0,101869.0,3.0,,,,,,,,,,,,,,,,,,,,\n5,Matplotlib,matplotlib/matplotlib,,data-viz,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,Python-2.0,2011-02-19 03:17:12.000000,2021-04-08 14:23:53.000000,2021-04-08 04:00:12.000000,5733,1702.0,6123.0,13431,38479.0,matplotlib: plotting with Python.,1222.0,41,True,2021-03-31 07:23:52.000000,3.4.1,66.0,matplotlib,conda-forge/matplotlib,,,,429044.0,349940.0,https://pypi.org/project/matplotlib,2021-03-26 07:50:28.000000,79104.0,15871310.0,15999190.0,https://anaconda.org/conda-forge/matplotlib,2021-03-31 18:55:37.001000,8568024.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n6,scipy,scipy/scipy,,others,https://github.com/scipy/scipy,https://github.com/scipy/scipy,BSD-3-Clause,2011-03-09 18:52:03.000000,2021-04-07 16:33:46.000000,2021-04-07 08:28:18.000000,3618,1612.0,5825.0,8087,25326.0,\"Ecosystem of open-source software for mathematics, science, and engineering.\",1147.0,41,True,2021-03-25 02:04:06.000000,1.6.2,61.0,scipy,conda-forge/scipy,,,,411385.0,324523.0,https://pypi.org/project/scipy,2021-02-18 02:35:14.000000,86862.0,25881835.0,26117986.0,https://anaconda.org/conda-forge/scipy,2021-03-27 22:49:06.551000,13667039.0,,,,,1.0,311002.0,,,,,,,,,,,,,,,,,,,,,\n7,PyTorch,pytorch/pytorch,,ml-frameworks,https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41.000000,2021-04-08 14:03:56.000000,2021-04-08 13:44:23.000000,12477,8228.0,13542.0,47410,35222.0,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,2589.0,40,True,2021-03-25 16:07:08.000000,1.8.1,32.0,torch,pytorch/pytorch,,https://pytorch.org/docs/stable/index.html,['pytorch'],76492.0,69810.0,https://pypi.org/project/torch,2021-03-25 15:54:32.000000,6682.0,3044950.0,3301761.0,https://anaconda.org/pytorch/pytorch,2021-03-25 16:42:58.661000,10529274.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n8,Pillow,python-pillow/Pillow,,image,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000000,2021-04-08 13:38:34.408000,2021-04-07 16:31:19.000000,1601,210.0,1955.0,8391,11534.0,The friendly PIL fork (Python Imaging Library).,354.0,40,True,2021-04-01 20:55:51.000000,8.2.0,80.0,Pillow,conda-forge/pillow,,,,547004.0,435578.0,https://pypi.org/project/Pillow,2021-04-01 20:53:21.000000,111426.0,28447748.0,28579691.0,https://anaconda.org/conda-forge/pillow,2021-04-08 13:38:34.408000,7916599.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n9,Celery,celery/celery,,data-pipelines,https://github.com/celery/celery,https://github.com/celery/celery,BSD-3-Clause,2009-04-24 11:31:24.000000,2021-04-08 12:41:58.000000,2021-04-06 15:08:46.000000,3974,497.0,3970.0,17026,11570.0,Asynchronous task queue/job queue based on distributed message passing.,1105.0,39,True,2021-04-02 04:55:05.000000,5.1.0b1,172.0,celery,conda-forge/celery,,,,79336.0,51102.0,https://pypi.org/project/celery,2021-04-02 04:52:41.000000,28234.0,4755268.0,4762735.0,https://anaconda.org/conda-forge/celery,2021-03-24 04:34:11.646000,455532.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n10,PySpark,apache/spark,,ml-frameworks,https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08.000000,2021-04-08 14:03:58.000000,2021-04-08 13:03:08.000000,23545,218.0,,29295,29739.0,Apache Spark Python API.,2433.0,38,True,2021-02-19 18:08:00.000000,3.0.2,22.0,pyspark,conda-forge/pyspark,,,['spark'],1341.0,581.0,https://pypi.org/project/pyspark,2021-02-19 18:08:00.000000,760.0,8093529.0,8113441.0,https://anaconda.org/conda-forge/pyspark,2021-03-04 09:44:05.675000,975732.0,,,,,1.0,,,stable/spark,,,,,,,,,,,,,,,,,,,\n11,numpy,numpy/numpy,,data-containers,https://github.com/numpy/numpy,https://github.com/numpy/numpy,BSD-3-Clause,2010-09-13 23:02:39.000000,2021-04-08 13:48:11.000000,2021-04-08 13:48:11.000000,5386,2271.0,7422.0,16781,,The fundamental package for scientific computing with Python.,1290.0,38,True,2021-03-27 23:33:19.000000,1.20.2,97.0,numpy,conda-forge/numpy,,,,840187.0,670465.0,https://pypi.org/project/numpy,2021-03-27 22:16:26.000000,169722.0,66590996.0,66902144.0,https://anaconda.org/conda-forge/numpy,2021-03-28 21:35:26.037000,17994579.0,,,,,1.0,326269.0,,,,,,,,,,,,,,,,,,,,,\n12,scikit-learn,scikit-learn/scikit-learn,,ml-frameworks,https://github.com/scikit-learn/scikit-learn,https://github.com/scikit-learn/scikit-learn,BSD-3-Clause,2010-08-17 09:43:38.000000,2021-04-08 14:01:50.000000,2021-04-08 14:01:49.000000,21271,2379.0,6797.0,45143,,scikit-learn: machine learning in Python.,2193.0,37,True,2021-01-19 18:10:37.000000,0.24.1,53.0,scikit-learn,conda-forge/scikit-learn,,,['sklearn'],245160.0,207272.0,https://pypi.org/project/scikit-learn,2021-01-19 18:06:50.000000,37888.0,17285762.0,17414469.0,https://anaconda.org/conda-forge/scikit-learn,2021-01-21 23:33:46.354000,7593085.0,,,,,1.0,674.0,,,,,,,,,,,,,,,,,,,,,\n13,spaCy,explosion/spaCy,,nlp,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000000,2021-04-08 11:45:07.000000,2021-04-08 11:22:38.000000,3333,109.0,4430.0,20112,14430.0,Industrial-strength Natural Language Processing (NLP) in Python.,575.0,37,True,2021-03-10 11:33:30.000000,3.0.5,176.0,spacy,conda-forge/spacy,,,,26375.0,23309.0,https://pypi.org/project/spacy,2021-03-10 11:33:30.000000,3066.0,1687740.0,1719921.0,https://anaconda.org/conda-forge/spacy,2021-03-11 13:42:03.785000,1606343.0,,,,,1.0,2996.0,,,,,,,,,,,,,,,,,,,,,\n14,Faker,joke2k/faker,,data-loading,https://github.com/joke2k/faker,https://github.com/joke2k/faker,MIT,2012-11-12 23:00:09.000000,2021-04-05 20:05:11.984000,2021-04-05 18:17:16.000000,1401,141.0,359.0,12372,2607.0,Faker is a Python package that generates fake data for you.,397.0,37,True,2021-04-05 18:17:53.000000,8.0.0,134.0,Faker,conda-forge/faker,,,,29918.0,25206.0,https://pypi.org/project/Faker,2021-04-05 18:17:51.000000,4712.0,3889344.0,3897601.0,https://anaconda.org/conda-forge/faker,2021-04-05 20:05:11.984000,404609.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n15,Seaborn,mwaskom/seaborn,,data-viz,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000000,2021-04-07 12:04:51.000000,2021-04-07 12:04:48.000000,1383,102.0,1721.0,8295,2763.0,Statistical data visualization using matplotlib.,149.0,37,True,2021-03-29 17:36:25.000000,joss_paper,23.0,seaborn,conda-forge/seaborn,,,,101487.0,88701.0,https://pypi.org/project/seaborn,2020-12-20 20:53:25.000000,12786.0,4408187.0,4447664.0,https://anaconda.org/conda-forge/seaborn,2021-01-28 11:50:33.609000,2210667.0,,,,,1.0,159.0,,,,,,,,,,,,,,,,,,,,,\n16,transformers,huggingface/transformers,,nlp,https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000000,2021-04-08 13:36:54.000000,2021-04-08 12:22:58.000000,10503,687.0,5840.0,43569,6937.0,Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.,836.0,36,True,2021-04-06 16:50:00.000000,4.5.0,55.0,transformers,conda-forge/transformers,,,\"['pytorch', 'tensorflow']\",9463.0,9335.0,https://pypi.org/project/transformers,2021-04-06 16:47:24.000000,128.0,1457936.0,1459805.0,https://anaconda.org/conda-forge/transformers,2021-04-07 06:05:12.500000,32883.0,,,,,1.0,1269.0,,,,,,,,,,,,,,,,,,,,,\n17,Airflow,apache/airflow,,data-pipelines,https://github.com/apache/airflow,https://github.com/apache/airflow,Apache-2.0,2015-04-13 18:04:58.000000,2021-04-08 15:15:11.000000,2021-04-08 14:39:33.000000,8288,946.0,2304.0,21310,12125.0,\"Platform to programmatically author, schedule, and monitor workflows.\",1825.0,36,True,2021-03-17 17:29:35.000000,1.10.15,73.0,apache-airflow,conda-forge/airflow,apache/airflow,,,294.0,,https://pypi.org/project/apache-airflow,2021-02-08 22:43:55.000000,294.0,1696265.0,1881563.0,https://anaconda.org/conda-forge/airflow,2021-03-17 22:02:37.373000,299812.0,https://hub.docker.com/r/apache/airflow,2021-04-08 01:56:54.157359,231.0,12765695.0,1.0,110108.0,,stable/airflow,,,,,,,,,,,,,,,,,,,\n18,XGBoost,dmlc/xgboost,,ml-frameworks,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000000,2021-04-08 05:47:56.000000,2021-04-08 04:15:34.000000,7942,278.0,3718.0,20806,5284.0,\"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..\",512.0,36,True,2021-01-20 13:52:38.000000,1.3.3,54.0,xgboost,conda-forge/xgboost,,https://xgboost.readthedocs.io/en/latest/,,17045.0,15453.0,https://pypi.org/project/xgboost,2021-03-29 01:58:02.000000,1592.0,4144447.0,4175137.0,https://anaconda.org/conda-forge/xgboost,2021-03-09 14:27:32.491000,1502728.0,,,,,1.0,1973.0,,,,,,,,,,,,,,,,,,,,,\n19,gensim,RaRe-Technologies/gensim,,nlp,https://github.com/RaRe-Technologies/gensim,https://github.com/RaRe-Technologies/gensim,LGPL-2.1,2011-02-10 07:43:04.000000,2021-04-07 14:30:16.000000,2021-04-07 14:19:00.000000,3950,358.0,1282.0,11920,4144.0,Topic Modelling for Humans.,390.0,36,True,2021-04-01 14:19:26.000000,4.0.1,85.0,gensim,conda-forge/gensim,,,,26918.0,22176.0,https://pypi.org/project/gensim,2021-03-25 13:43:34.000000,4742.0,10171752.0,10186391.0,https://anaconda.org/conda-forge/gensim,2021-04-02 10:56:03.560000,627333.0,,,,,1.0,3304.0,,,,,,,,,,,,,,,,,,,,,\n20,Plotly,plotly/plotly.py,,data-viz,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000000,2021-04-08 14:25:01.000000,2021-01-14 02:04:12.000000,1791,865.0,1062.0,9259,4923.0,The interactive graphing library for Python (includes Plotly Express).,162.0,36,True,2021-01-12 17:01:21.000000,4.14.3,265.0,plotly,conda-forge/plotly,,,,4991.0,5.0,https://pypi.org/project/plotly,2021-01-12 16:12:40.000000,4982.0,4781233.0,5050207.0,https://anaconda.org/conda-forge/plotly,2021-01-12 17:11:42.117000,1299185.0,,,,,1.0,,,,plotlywidget,https://www.npmjs.com/package/plotlywidget,2021-01-12 16:09:46.133000,4.0,245775.0,,,,,,,,,,,,,,\n21,torchvision,pytorch/vision,,image,https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000000,2021-04-08 14:05:12.000000,2021-04-08 13:49:33.000000,4520,442.0,1208.0,8771,1609.0,\"Datasets, Transforms and Models specific to Computer Vision.\",374.0,36,True,2021-03-25 17:51:25.000000,0.9.1,23.0,torchvision,conda-forge/torchvision,,,['pytorch'],50671.0,46059.0,https://pypi.org/project/torchvision,2021-03-25 16:28:06.000000,4612.0,1183037.0,1184206.0,https://anaconda.org/conda-forge/torchvision,2021-03-16 19:13:13.221000,46790.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n22,SymPy,sympy/sympy,,others,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000000,2021-04-08 14:44:25.000000,2021-04-08 14:44:25.000000,3363,4129.0,7203.0,7980,46483.0,A computer algebra system written in pure Python.,1052.0,36,True,2020-12-12 23:23:00.000000,1.7.1,36.0,sympy,conda-forge/sympy,,,,36859.0,30437.0,https://pypi.org/project/sympy,2020-12-12 23:23:00.000000,6422.0,918094.0,946116.0,https://anaconda.org/conda-forge/sympy,2021-01-08 20:38:32.429000,1386692.0,,,,,1.0,420348.0,,,,,,,,,,,,,,,,,,,,,\n23,Arrow,apache/arrow,,data-containers,https://github.com/apache/arrow,https://github.com/apache/arrow,Apache-2.0,2016-02-17 08:00:23.000000,2021-04-08 14:53:23.000000,2021-04-08 13:11:13.000000,1851,143.0,584.0,7673,8932.0,Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-..,660.0,36,True,2021-01-26 01:05:45.000000,3.0.0,30.0,pyarrow,conda-forge/arrow,,,,1024.0,38.0,https://pypi.org/project/pyarrow,2021-01-26 01:05:45.000000,986.0,24771658.0,24780529.0,https://anaconda.org/conda-forge/arrow,2021-03-07 23:47:25.555000,523397.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n24,Tensorboard,tensorflow/tensorboard,,ml-experiments,https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000000,2021-04-08 03:55:25.000000,2021-04-07 01:27:42.000000,1379,550.0,952.0,5242,4403.0,TensorFlow's Visualization Toolkit.,255.0,36,True,2021-01-14 20:49:19.000000,2.4.1,36.0,tensorboard,conda-forge/tensorboard,,,['tensorflow'],63026.0,59412.0,https://pypi.org/project/tensorboard,2021-01-14 20:49:19.000000,3614.0,8223868.0,8268964.0,https://anaconda.org/conda-forge/tensorboard,2021-01-15 08:30:57.960000,1848949.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n25,joblib,joblib/joblib,,data-pipelines,https://github.com/joblib/joblib,https://github.com/joblib/joblib,BSD-3-Clause,2010-05-07 06:48:26.000000,2021-04-08 10:49:50.000000,2021-04-02 12:08:27.000000,286,291.0,358.0,2399,1370.0,Computing with Python functions.,99.0,36,True,2021-02-09 16:46:29.000000,1.0.1,100.0,joblib,conda-forge/joblib,,,,98928.0,92318.0,https://pypi.org/project/joblib,2021-02-09 16:46:29.000000,6610.0,28757917.0,28823065.0,https://anaconda.org/conda-forge/joblib,2021-02-09 19:26:28.194000,3713463.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n26,h5py,h5py/h5py,,data-containers,https://github.com/h5py/h5py,https://github.com/h5py/h5py,BSD-3-Clause,2012-09-21 00:40:02.000000,2021-04-06 20:25:04.795000,2021-03-30 08:29:01.000000,399,217.0,973.0,1505,3616.0,HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.,161.0,36,True,2021-03-05 10:04:46.000000,3.2.1,27.0,h5py,conda-forge/h5py,,,,131906.0,108970.0,https://pypi.org/project/h5py,2021-03-05 10:24:13.000000,22936.0,8367595.0,8448340.0,https://anaconda.org/conda-forge/h5py,2021-04-06 20:25:04.795000,4924287.0,,,,,1.0,956.0,,,,,,,,,,,,,,,,,,,,,\n27,Keras,keras-team/keras,,ml-frameworks,https://github.com/keras-team/keras,https://github.com/keras-team/keras,MIT,2015-03-28 00:35:42.000000,2021-04-08 01:07:42.000000,2021-04-08 01:07:33.000000,18737,3242.0,7246.0,50992,5467.0,Deep Learning for humans.,905.0,35,True,2020-06-24 22:40:48.000000,2.4.3,53.0,keras,conda-forge/keras,,https://keras.io,['tensorflow'],14996.0,,https://pypi.org/project/keras,2020-06-24 22:40:48.000000,14996.0,2496202.0,2524186.0,https://anaconda.org/conda-forge/keras,2020-06-25 19:13:34.254000,1567107.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n28,OpenAI Gym,openai/gym,,reinforcement-learning,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16.000000,2021-04-08 03:03:31.000000,2021-04-06 15:18:55.000000,6822,284.0,1068.0,23870,1244.0,A toolkit for developing and comparing reinforcement learning algorithms.,275.0,35,True,2020-12-19 00:29:36.000000,0.18.0,92.0,gym,,,,,22710.0,19148.0,https://pypi.org/project/gym,2020-12-19 00:29:36.000000,3562.0,407224.0,407224.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n29,LightGBM,microsoft/LightGBM,,ml-frameworks,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000000,2021-04-07 23:29:09.000000,2021-04-05 20:10:12.000000,3257,112.0,2088.0,12394,2437.0,\"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..\",216.0,35,True,2021-03-22 15:04:09.000000,3.2.0,25.0,lightgbm,conda-forge/lightgbm,,,,6882.0,6326.0,https://pypi.org/project/lightgbm,2021-03-22 15:04:09.000000,556.0,2894539.0,2908792.0,https://anaconda.org/conda-forge/lightgbm,2021-03-22 18:06:45.738000,542837.0,,,,,1.0,105139.0,,,,,,,,,,,,,,,,,,,,,\n30,networkx,networkx/networkx,,graph,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44.000000,2021-04-08 08:11:36.000000,2021-04-04 17:46:09.000000,2286,286.0,2331.0,8896,,Network Analysis in Python.,505.0,35,True,2021-04-03 22:22:02.000000,2.5.1,53.0,networkx,conda-forge/networkx,,,,91807.0,70989.0,https://pypi.org/project/networkx,2021-04-03 22:22:02.000000,20818.0,10308734.0,10370862.0,https://anaconda.org/conda-forge/networkx,2021-04-04 01:32:23.917000,3354927.0,,,,,1.0,51.0,2.0,,,,,,,,,,,,,,,,,,,,\n31,MXNet,apache/incubator-mxnet,,ml-frameworks,https://github.com/apache/incubator-mxnet,https://github.com/apache/incubator-mxnet,Apache-2.0,2015-04-30 16:21:15.000000,2021-04-08 11:51:07.000000,2021-04-07 17:29:05.000000,6819,1871.0,7593.0,19380,11566.0,\"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..\",955.0,34,True,2021-03-21 14:56:00.000000,1.8.0,980.0,mxnet,mxnet,,,['mxnet'],2367.0,1923.0,https://pypi.org/project/mxnet,2021-03-31 20:05:38.000000,444.0,205784.0,206335.0,https://anaconda.org/anaconda/mxnet,2020-02-29 00:58:31.007000,6012.0,,,,,2.0,23674.0,,,,,,,,0.0,,,,,,,,,,,,,\n32,luigi,spotify/luigi,,data-pipelines,https://github.com/spotify/luigi,https://github.com/spotify/luigi,Apache-2.0,2012-09-20 15:06:38.000000,2021-04-08 15:14:10.000000,2021-04-08 15:09:39.000000,2239,75.0,841.0,14404,3969.0,\"Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution,..\",552.0,34,True,2021-02-18 19:24:47.000000,3.0.2,72.0,luigi,luigi,,,,2048.0,1372.0,https://pypi.org/project/luigi,2020-09-23 11:57:12.000000,676.0,837452.0,837562.0,https://anaconda.org/anaconda/luigi,2021-02-20 16:21:48.759000,6864.0,,,,,1.0,,,stable/luigi,,,,,,0.0,,,,,,,,,,,,,\n33,dash,plotly/dash,,data-viz,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000000,2021-04-08 15:18:48.000000,2021-04-08 15:18:45.000000,1450,417.0,567.0,14275,3543.0,\"Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.\",74.0,34,True,2021-01-20 00:00:50.000000,1.19.0,137.0,dash,conda-forge/dash,,,,20727.0,19119.0,https://pypi.org/project/dash,2021-01-19 23:50:28.000000,1608.0,412252.0,419010.0,https://anaconda.org/conda-forge/dash,2021-01-21 16:17:38.594000,236532.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n34,shap,slundberg/shap,,interpretability,https://github.com/slundberg/shap,https://github.com/slundberg/shap,MIT,2016-11-22 19:17:08.000000,2021-04-07 12:08:47.000000,2021-04-06 00:10:26.000000,1778,1002.0,514.0,12254,1927.0,A game theoretic approach to explain the output of any machine learning model.,156.0,34,True,2021-03-03 18:38:33.000000,0.39.0,93.0,shap,conda-forge/shap,,,,2427.0,2291.0,https://pypi.org/project/shap,2021-01-15 21:02:34.000000,136.0,2452044.0,2465668.0,https://anaconda.org/conda-forge/shap,2020-12-16 19:26:39.477000,435971.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n35,onnx,onnx/onnx,,model-serialisation,https://github.com/onnx/onnx,https://github.com/onnx/onnx,Apache-2.0,2017-09-07 04:53:45.000000,2021-04-08 14:47:49.000000,2021-04-07 16:41:00.000000,1881,546.0,992.0,10023,1718.0,Open standard for machine learning interoperability.,195.0,34,True,2021-01-30 01:25:24.000000,1.8.1,20.0,onnx,conda-forge/onnx,,,,3111.0,2815.0,https://pypi.org/project/onnx,2021-01-29 23:57:20.000000,296.0,1585762.0,1591250.0,https://anaconda.org/conda-forge/onnx,2021-03-22 08:13:24.059000,213983.0,,,,,1.0,11300.0,,,,,,,,,,,,,,,,,,,,,\n36,nltk,nltk/nltk,,nlp,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58.000000,2021-04-08 01:17:00.023000,2021-04-07 21:33:48.000000,2459,236.0,1240.0,9768,,Suite of libraries and programs for symbolic and statistical natural language processing for English.,393.0,34,True,2019-08-20 10:55:21.000000,3.4.5,40.0,nltk,conda-forge/nltk,,,,116010.0,95018.0,https://pypi.org/project/nltk,2021-04-07 10:49:59.000000,20992.0,10058466.0,10070122.0,https://anaconda.org/conda-forge/nltk,2021-04-08 01:17:00.023000,652736.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n37,Theano,Theano/Theano,,ml-frameworks,https://github.com/Theano/Theano,https://github.com/Theano/Theano,BSD-3-Clause,2011-08-10 03:48:06.000000,2021-03-02 07:51:50.000000,2021-03-02 07:51:50.000000,2517,673.0,2083.0,9387,28124.0,\"Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-..\",383.0,34,True,2020-07-27 16:13:54.000000,1.0.5,45.0,theano,conda-forge/theano,,,,16060.0,10586.0,https://pypi.org/project/theano,2020-07-27 16:13:54.000000,5474.0,236590.0,261736.0,https://anaconda.org/conda-forge/theano,2021-01-21 21:14:21.756000,1433349.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n38,dask,dask/dask,,distributed-ml,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000000,2021-04-08 14:49:47.000000,2021-04-08 14:49:47.000000,1257,736.0,2969.0,8171,,Parallel computing with task scheduling.,443.0,34,True,2021-04-02 16:16:30.000000,2021.4.0,115.0,dask,conda-forge/dask,,,,30372.0,26456.0,https://pypi.org/project/dask,2021-04-02 16:16:30.000000,3916.0,3490338.0,3544770.0,https://anaconda.org/conda-forge/dask,2021-04-02 22:33:17.507000,3211510.0,,,,,1.0,,,stable/dask,,,,,,,,,,,,,,,,,,,\n39,rq,rq/rq,,data-pipelines,https://github.com/rq/rq,https://github.com/rq/rq,BSD-3-Clause,2011-11-14 10:53:48.000000,2021-04-06 11:33:54.000000,2021-04-01 06:23:18.000000,1214,144.0,692.0,7623,1558.0,Simple job queues for Python.,230.0,34,True,2020-11-29 09:48:18.000000,1.7.0,63.0,rq,conda-forge/rq,,,,10998.0,7674.0,https://pypi.org/project/rq,2020-11-29 09:47:08.000000,3324.0,488233.0,489088.0,https://anaconda.org/conda-forge/rq,2021-03-31 04:46:34.734000,48750.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n40,Shapely,Toblerity/Shapely,,geospatial-data,https://github.com/Toblerity/Shapely,https://github.com/Toblerity/Shapely,BSD-3-Clause,2011-12-31 19:43:11.000000,2021-04-07 11:15:00.000000,2021-03-30 15:36:27.000000,397,124.0,610.0,2207,1507.0,Manipulation and analysis of geometric objects.,112.0,34,True,2020-12-15 18:27:01.000000,1.7.1,100.0,shapely,conda-forge/shapely,,,,23034.0,17576.0,https://pypi.org/project/shapely,2021-03-04 00:27:13.000000,5458.0,3907004.0,3940781.0,https://anaconda.org/conda-forge/shapely,2021-03-05 11:50:12.482000,2229319.0,,,,,1.0,,2.0,,,,,,,,,,,,,,,,,,,,\n41,PyFlink,apache/flink,,ml-frameworks,https://github.com/apache/flink,https://github.com/apache/flink,Apache-2.0,2014-06-07 07:00:10.000000,2021-04-08 13:47:33.000000,2021-04-08 13:17:53.000000,8655,499.0,,15936,26481.0,Apache Flink Python API.,1234.0,33,True,2021-01-15 01:51:44.000000,1.12.1,13.0,apache-flink,,,,,272.0,272.0,https://pypi.org/project/apache-flink,2021-01-15 01:51:44.000000,0.0,6664.0,6664.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n42,Ray,ray-project/ray,,distributed-ml,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000000,2021-04-08 13:48:33.000000,2021-04-08 13:15:38.000000,2514,1466.0,5030.0,15512,7771.0,\"An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged..\",465.0,33,True,2021-02-13 01:42:06.000000,ray-1.2.0,44.0,ray,,,,,2023.0,1863.0,https://pypi.org/project/ray,2021-02-13 01:38:33.000000,160.0,500687.0,500687.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n43,Bokeh,bokeh/bokeh,,data-viz,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000000,2021-04-08 13:27:18.000000,2021-04-07 20:38:48.000000,3689,668.0,5844.0,14951,,\"Interactive Data Visualization in the browser, from Python.\",557.0,33,True,2021-02-24 19:44:29.000000,2.3.0,93.0,bokeh,conda-forge/bokeh,,,,37933.0,32061.0,https://pypi.org/project/bokeh,2021-04-06 23:56:28.000000,5872.0,1264613.0,1350891.0,https://anaconda.org/conda-forge/bokeh,2021-04-08 12:17:48.640000,4141388.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n44,pytorch-lightning,PyTorchLightning/pytorch-lightning,,ml-frameworks,https://github.com/PyTorchLightning/pytorch-lightning,https://github.com/PyTorchLightning/pytorch-lightning,Apache-2.0,2019-03-31 00:45:57.000000,2021-04-08 13:54:57.000000,2021-04-08 09:45:23.000000,1509,303.0,2846.0,12891,4666.0,\"The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.\",424.0,33,True,2021-04-07 18:10:09.000000,1.2.7,161.0,pytorch-lightning,conda-forge/pytorch-lightning,,,['pytorch'],2486.0,2472.0,https://pypi.org/project/pytorch-lightning,2021-04-07 18:10:09.000000,14.0,240413.0,250040.0,https://anaconda.org/conda-forge/pytorch-lightning,2021-04-07 22:37:54.071000,96172.0,,,,,2.0,217.0,,,,,,,,,,,,,,,,,,,,,\n45,mlflow,mlflow/mlflow,,ml-experiments,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000000,2021-04-08 14:19:27.000000,2021-04-07 05:01:27.000000,1952,751.0,1061.0,8723,1943.0,Open source platform for the machine learning lifecycle.,285.0,33,True,2021-03-26 20:13:29.000000,1.15.0,43.0,mlflow,conda-forge/mlflow,,,,154.0,,https://pypi.org/project/mlflow,2021-03-26 19:41:04.000000,154.0,4490439.0,4501718.0,https://anaconda.org/conda-forge/mlflow,2021-03-30 16:27:28.350000,270709.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n46,pydeck,visgl/deck.gl,,geospatial-data,https://github.com/visgl/deck.gl,https://github.com/visgl/deck.gl,MIT,2015-12-15 08:38:29.000000,2021-04-08 12:10:34.000000,2021-04-07 20:49:35.000000,1534,84.0,2009.0,8575,3598.0,WebGL2 powered geospatial visualization layers.,157.0,33,True,2021-04-05 23:55:15.902000,8.4.12,463.0,pydeck,conda-forge/pydeck,,,['jupyter'],2071.0,1509.0,https://pypi.org/project/pydeck,2021-02-12 18:57:45.000000,2.0,205314.0,418693.0,https://anaconda.org/conda-forge/pydeck,2021-02-12 20:05:23.366000,23279.0,,,,,1.0,,,,deck.gl,https://www.npmjs.com/package/deck.gl,2021-03-22 21:45:34.518000,560.0,211717.0,,,,,,,,,,,,,,\n47,StatsModels,statsmodels/statsmodels,,ml-frameworks,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000000,2021-04-08 13:39:13.000000,2021-04-08 13:39:13.000000,2202,2088.0,2305.0,6195,,Statsmodels: statistical modeling and econometrics in Python.,309.0,33,True,2021-02-02 11:08:49.000000,0.12.2,25.0,statsmodels,conda-forge/statsmodels,,,,46658.0,40002.0,https://pypi.org/project/statsmodels,2021-02-02 11:08:49.000000,6656.0,3561230.0,3625652.0,https://anaconda.org/conda-forge/statsmodels,2021-02-15 17:38:00.380000,3736513.0,,,,,2.0,25.0,,,,,,,,,,,,,,,,,,,,,\n48,scikit-image,scikit-image/scikit-image,,image,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,BSD-2-Clause,2011-07-07 22:07:20.000000,2021-04-08 11:19:26.000000,2021-04-07 12:31:01.000000,1776,674.0,1515.0,4278,,Image processing in Python.,485.0,33,True,2021-01-19 08:17:34.000000,0.18.1,35.0,scikit-image,conda-forge/scikit-image,,,,79715.0,64941.0,https://pypi.org/project/scikit-image,2020-12-23 06:36:46.000000,14774.0,3134100.0,3173801.0,https://anaconda.org/conda-forge/scikit-image,2021-01-21 20:53:16.554000,2342388.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n49,geopy,geopy/geopy,,geospatial-data,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000000,2021-04-04 01:00:26.000000,2021-04-04 00:58:07.000000,535,25.0,221.0,3276,1043.0,Geocoding library for Python.,122.0,33,True,2020-12-27 13:15:23.000000,2.1.0,57.0,geopy,conda-forge/geopy,,,,25868.0,18624.0,https://pypi.org/project/geopy,2020-12-27 13:12:21.000000,7244.0,5426484.0,5435183.0,https://anaconda.org/conda-forge/geopy,2020-12-27 14:22:55.127000,530662.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n50,TensorFlow Datasets,tensorflow/datasets,,data-loading,https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000000,2021-04-08 14:33:03.000000,2021-04-08 14:22:40.000000,995,438.0,555.0,2759,3891.0,\"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...\",199.0,33,True,2021-01-07 09:50:58.000000,4.2.0,21.0,tensorflow-datasets,,,,['tensorflow'],4259.0,4157.0,https://pypi.org/project/tensorflow-datasets,2021-01-07 09:50:58.000000,102.0,3192063.0,3192063.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n51,xarray,pydata/xarray,,data-containers,https://github.com/pydata/xarray,https://github.com/pydata/xarray,Apache-2.0,2013-09-30 17:21:10.000000,2021-04-08 14:49:14.000000,2021-04-08 14:49:14.000000,654,818.0,1973.0,1996,3596.0,N-D labeled arrays and datasets in Python.,308.0,33,True,2021-02-26 06:45:07.000000,0.17.0,56.0,xarray,conda-forge/xarray,,,,6832.0,5700.0,https://pypi.org/project/xarray,2021-02-26 06:36:47.000000,1132.0,514305.0,557825.0,https://anaconda.org/conda-forge/xarray,2021-02-26 13:38:06.610000,2654779.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n52,xlrd,python-excel/xlrd,,data-loading,https://github.com/python-excel/xlrd,https://github.com/python-excel/xlrd,BSD-3-Clause,2012-03-07 04:50:48.000000,2021-01-09 20:35:27.639000,2020-12-12 15:24:25.000000,414,3.0,,1877,502.0,Please use openpyxl where you can...,50.0,33,True,2020-12-11 10:14:20.000000,2.0.1,24.0,xlrd,conda-forge/xlrd,,,,81668.0,68094.0,https://pypi.org/project/xlrd,2020-12-11 10:14:20.000000,13574.0,8761875.0,8788625.0,https://anaconda.org/conda-forge/xlrd,2021-01-09 20:35:27.639000,1310770.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n53,Fastai,fastai/fastai,,ml-frameworks,https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000000,2021-04-08 05:14:04.000000,2021-04-08 05:10:07.000000,6982,92.0,1336.0,20693,1711.0,The fastai deep learning library.,472.0,32,True,2021-03-31 06:04:10.000000,2.3.0,118.0,fastai,,,,['pytorch'],368.0,,https://pypi.org/project/fastai,2021-02-22 04:01:38.000000,368.0,195130.0,195130.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n54,jax,google/jax,,ml-frameworks,https://github.com/google/jax,https://github.com/google/jax,Apache-2.0,2018-10-25 21:25:02.000000,2021-04-08 13:21:17.000000,2021-04-08 13:21:12.000000,1095,782.0,1538.0,12288,7561.0,\"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.\",274.0,32,True,2021-04-01 17:46:34.000000,0.2.12,91.0,jax,conda-forge/jaxlib,,,,1393.0,1347.0,https://pypi.org/project/jax,2021-04-01 17:46:34.000000,46.0,172803.0,177553.0,https://anaconda.org/conda-forge/jaxlib,2021-04-08 04:28:56.615000,99762.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n55,tensor2tensor,tensorflow/tensor2tensor,,tensorflow-utils,https://github.com/tensorflow/tensor2tensor,https://github.com/tensorflow/tensor2tensor,Apache-2.0,2017-06-15 16:57:39.000000,2021-03-26 03:40:58.000000,2021-03-05 08:15:30.000000,2831,554.0,664.0,11130,4348.0,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,231.0,32,True,2020-06-17 16:15:36.000000,1.15.7,79.0,tensor2tensor,,,,['tensorflow'],1108.0,944.0,https://pypi.org/project/tensor2tensor,2020-06-17 16:15:36.000000,164.0,81719.0,81719.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n56,dlib,davisking/dlib,,ml-frameworks,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000000,2021-04-07 03:46:03.000000,2021-04-04 17:31:08.000000,2903,58.0,1839.0,10039,7925.0,A toolkit for making real world machine learning and data analysis applications in C++.,164.0,32,False,2021-03-28 13:36:18.000000,19.22,28.0,dlib,conda-forge/dlib,,,,10409.0,9051.0,https://pypi.org/project/dlib,2020-12-04 19:23:04.000000,1358.0,108177.0,113850.0,https://anaconda.org/conda-forge/dlib,2021-04-03 09:47:47.788000,292836.0,,,,,2.0,24480.0,,,,,,,,,,,,,,,,,,,,,\n57,AllenNLP,allenai/allennlp,,nlp,https://github.com/allenai/allennlp,https://github.com/allenai/allennlp,Apache-2.0,2017-05-15 15:52:41.000000,2021-04-08 02:10:21.000000,2021-04-08 01:57:35.000000,2032,109.0,2216.0,9900,2357.0,\"An open-source NLP research library, built on PyTorch.\",237.0,32,True,2021-03-26 17:23:24.000000,2.2.0,182.0,allennlp,,,,['pytorch'],1788.0,1554.0,https://pypi.org/project/allennlp,2021-04-06 11:50:16.000000,234.0,37783.0,37783.0,,,,,,,,1.0,37.0,,,,,,,,,,,,,,,,,,,,,\n58,PyMC3,pymc-devs/pymc3,,probabilistics,https://github.com/pymc-devs/pymc3,https://github.com/pymc-devs/pymc3,Apache-2.0,2009-05-05 09:43:50.000000,2021-04-08 13:49:29.000000,2021-04-05 13:26:07.000000,1367,175.0,2033.0,5671,7691.0,Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara.,312.0,32,True,2021-03-14 22:31:10.000000,3.11.2,33.0,pymc3,conda-forge/pymc3,,,,2537.0,2251.0,https://pypi.org/project/pymc3,2021-03-14 22:31:10.000000,286.0,222645.0,227568.0,https://anaconda.org/conda-forge/pymc3,2021-03-15 13:12:28.868000,265835.0,,,,,1.0,151.0,,,,,,,,,,,,,,,,,,,,,\n59,folium,python-visualization/folium,,geospatial-data,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000000,2021-03-17 20:18:35.000000,2021-03-09 08:53:19.000000,1944,159.0,693.0,5217,1474.0,Python Data. Leaflet.js Maps.,121.0,32,True,2021-01-18 17:29:40.000000,0.12.1,25.0,folium,conda-forge/folium,,,,10251.0,9283.0,https://pypi.org/project/folium,2021-01-18 17:29:40.000000,968.0,417170.0,422860.0,https://anaconda.org/conda-forge/folium,2021-03-12 17:41:57.124000,347145.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n60,CuPy,cupy/cupy,,gpu-utilities,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000000,2021-04-08 13:34:50.697798,2021-04-08 13:22:19.000000,455,342.0,994.0,4973,21503.0,A NumPy-compatible array library accelerated by CUDA.,259.0,32,True,2021-03-25 06:50:48.000000,8.6.0,90.0,cupy,conda-forge/cupy,cupy/cupy,,,892.0,700.0,https://pypi.org/project/cupy,2021-03-25 03:02:42.000000,192.0,78401.0,107094.0,https://anaconda.org/conda-forge/cupy,2021-04-01 13:48:44.506000,495370.0,https://hub.docker.com/r/cupy/cupy,2021-04-08 13:34:50.697798,6.0,49457.0,1.0,12046.0,,,,,,,,,,,,,,,,,,,,,\n61,Beam,apache/beam,,data-pipelines,https://github.com/apache/beam,https://github.com/apache/beam,Apache-2.0,2016-02-02 08:00:06.000000,2021-04-08 15:13:08.000000,2021-04-08 15:11:13.000000,2940,160.0,,4710,31438.0,\"Unified programming model to define and execute data processing pipelines, including ETL, batch and stream processing.\",1042.0,32,True,2021-02-22 21:19:14.000000,2.28.0,30.0,apache-beam,,,,,186.0,,https://pypi.org/project/apache-beam,2021-01-08 20:08:17.000000,186.0,2205884.0,2205884.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n62,xmltodict,martinblech/xmltodict,,data-loading,https://github.com/martinblech/xmltodict,https://github.com/martinblech/xmltodict,MIT,2012-04-17 14:38:21.000000,2021-02-08 17:46:25.000000,2020-04-26 05:15:03.000000,420,70.0,136.0,4338,205.0,Python module that makes working with XML feel like you are working with JSON.,41.0,32,True,2019-02-11 07:00:26.000000,0.12.0,27.0,xmltodict,conda-forge/xmltodict,,,,31580.0,23346.0,https://pypi.org/project/xmltodict,2019-02-11 07:00:26.000000,8234.0,7967528.0,7981665.0,https://anaconda.org/conda-forge/xmltodict,2019-02-11 11:53:14.803000,791713.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n63,Tablib,jazzband/tablib,,data-loading,https://github.com/jazzband/tablib,https://github.com/jazzband/tablib,MIT,2011-03-28 02:36:50.000000,2021-03-01 12:38:44.000000,2021-03-01 12:38:44.000000,563,34.0,198.0,3885,1124.0,\"Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c.\",111.0,32,True,2020-12-05 14:56:28.000000,3.0.0,38.0,tablib,conda-forge/tablib,,,,12212.0,9854.0,https://pypi.org/project/tablib,2020-12-05 14:56:28.000000,2358.0,1014428.0,1015557.0,https://anaconda.org/conda-forge/tablib,2020-12-05 16:40:48.469000,59875.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n64,tensorflow-probability,tensorflow/probability,,probabilistics,https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000000,2021-04-08 14:52:06.000000,2021-04-08 14:52:03.000000,875,439.0,564.0,3268,10435.0,Probabilistic reasoning and statistical analysis in TensorFlow.,408.0,32,True,2020-12-29 18:40:25.000000,0.12.1,35.0,tensorflow-probability,conda-forge/tensorflow-probability,,,['tensorflow'],253.0,1.0,https://pypi.org/project/tensorflow-probability,2020-12-29 17:46:08.000000,252.0,550032.0,551313.0,https://anaconda.org/conda-forge/tensorflow-probability,2021-02-10 20:08:40.633000,33307.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n65,tensorflow-hub,tensorflow/hub,,tensorflow-utils,https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42.000000,2021-04-06 17:46:18.000000,2021-04-06 17:46:16.000000,1469,45.0,533.0,2772,863.0,A library for transfer learning by reusing parts of TensorFlow models.,69.0,32,True,2021-01-06 16:20:30.000000,0.11.0,14.0,tensorflow-hub,conda-forge/tensorflow-hub,,,['tensorflow'],6311.0,5997.0,https://pypi.org/project/tensorflow-hub,2021-01-06 16:20:30.000000,314.0,1487111.0,1488616.0,https://anaconda.org/conda-forge/tensorflow-hub,2020-08-24 16:43:36.561000,51179.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n66,GeoPandas,geopandas/geopandas,,geospatial-data,https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000000,2021-04-07 18:23:51.000000,2021-04-04 08:37:36.000000,560,302.0,718.0,2555,1373.0,Python tools for geographic data.,136.0,32,True,2021-02-28 21:10:46.000000,0.9.0,37.0,geopandas,conda-forge/geopandas,,,['pandas'],9046.0,7880.0,https://pypi.org/project/geopandas,2021-02-28 21:10:43.000000,1166.0,974315.0,989562.0,https://anaconda.org/conda-forge/geopandas,2021-03-01 09:07:56.799000,929101.0,,,,,2.0,966.0,,,,,,,,,,,,,,,,,,,,,\n67,Thinc,explosion/thinc,,ml-frameworks,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59.000000,2021-03-30 22:50:29.000000,2021-03-09 12:00:12.000000,205,14.0,90.0,2249,4913.0,\"A refreshing functional take on deep learning, compatible with your favorite libraries.\",36.0,32,True,2021-03-09 14:57:52.000000,8.0.2,189.0,thinc,conda-forge/thinc,,,,13380.0,12242.0,https://pypi.org/project/thinc,2021-03-09 12:42:58.000000,1138.0,1558816.0,1579107.0,https://anaconda.org/conda-forge/thinc,2021-03-11 09:08:45.723000,1014597.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n68,python-magic,ahupp/python-magic,,data-loading,https://github.com/ahupp/python-magic,https://github.com/ahupp/python-magic,MIT,2010-03-31 22:40:33.000000,2021-03-05 04:33:25.716000,2021-02-17 04:01:28.000000,218,28.0,132.0,1865,279.0,A python wrapper for libmagic.,49.0,32,True,2021-02-17 06:19:13.000000,0.4.22,22.0,python-magic,conda-forge/python-magic,,,,18176.0,13044.0,https://pypi.org/project/python-magic,2021-02-17 06:19:13.000000,5132.0,2513808.0,2515547.0,https://anaconda.org/conda-forge/python-magic,2021-03-05 04:33:25.716000,83514.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n69,Rasterio,mapbox/rasterio,,geospatial-data,https://github.com/mapbox/rasterio,https://github.com/mapbox/rasterio,BSD-3-Clause,2013-11-04 16:36:27.000000,2021-04-07 15:37:09.000000,2021-04-07 13:47:06.000000,399,139.0,1232.0,1469,3299.0,Rasterio reads and writes geospatial raster datasets.,107.0,32,True,2021-04-07 12:41:17.000000,1.2.2,123.0,rasterio,conda-forge/rasterio,,,,3831.0,2981.0,https://pypi.org/project/rasterio,2021-04-07 12:41:17.000000,850.0,434268.0,450191.0,https://anaconda.org/conda-forge/rasterio,2021-04-07 07:47:55.368000,970740.0,,,,,2.0,704.0,2.0,,,,,,,,,,,,,,,,,,,,\n70,TF Addons,tensorflow/addons,,tensorflow-utils,https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17.000000,2021-04-06 15:39:57.000000,2021-04-02 09:24:35.000000,421,172.0,643.0,1250,1349.0,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,154.0,32,True,2021-01-30 13:59:33.000000,0.12.1,25.0,tensorflow-addons,,,,['tensorflow'],2677.0,2659.0,https://pypi.org/project/tensorflow-addons,2021-01-30 13:59:33.000000,18.0,776474.0,776474.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n71,imageio,imageio/imageio,,image,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000000,2021-04-07 11:44:00.000000,2021-04-07 11:44:00.000000,174,69.0,281.0,855,1145.0,Python library for reading and writing image data.,76.0,32,True,2020-07-10 07:45:22.000000,2.9.0,31.0,imageio,conda-forge/imageio,,,,42846.0,39008.0,https://pypi.org/project/imageio,2020-07-06 13:20:41.000000,3838.0,3296092.0,3332313.0,https://anaconda.org/conda-forge/imageio,2020-07-06 14:13:25.518000,1847306.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n72,PaddlePaddle,PaddlePaddle/Paddle,,ml-frameworks,https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000000,2021-04-08 13:46:36.000000,2021-04-08 12:20:51.000000,3652,2504.0,10639.0,14780,15069.0,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,518.0,31,True,2021-03-15 02:29:29.000000,2.0.1,43.0,paddlepaddle,,,,['paddle'],51.0,35.0,https://pypi.org/project/paddlepaddle,2021-03-05 07:28:12.000000,16.0,11115.0,11387.0,,,,,,,,2.0,15273.0,,,,,,,,,,,,,,,,,,,,,\n73,fairseq,pytorch/fairseq,,nlp,https://github.com/pytorch/fairseq,https://github.com/pytorch/fairseq,MIT,2017-08-29 16:26:12.000000,2021-04-08 02:58:06.000000,2021-04-08 02:58:02.000000,3014,778.0,1871.0,11746,1854.0,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,318.0,31,True,2021-01-05 20:26:45.000000,0.10.2,13.0,fairseq,,,,['pytorch'],356.0,336.0,https://pypi.org/project/fairseq,2021-01-05 20:26:45.000000,20.0,22284.0,22287.0,,,,,,,,1.0,110.0,,,,,,,,,,,,,,,,,,,,,\n74,ChatterBot,gunthercox/ChatterBot,,nlp,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00.000000,2021-04-05 17:24:25.000000,2020-08-20 21:16:14.000000,3736,251.0,1230.0,11011,1847.0,\"ChatterBot is a machine learning, conversational dialog engine for creating chat bots.\",103.0,31,True,2020-08-22 18:42:43.000000,1.0.8,86.0,chatterbot,,,,,3980.0,3300.0,https://pypi.org/project/chatterbot,2020-08-22 18:40:36.000000,680.0,32184.0,32184.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n75,imgaug,aleju/imgaug,,image,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33.000000,2020-10-19 12:23:22.000000,2020-06-01 14:58:26.000000,2017,226.0,211.0,10939,2913.0,Image augmentation for machine learning experiments.,36.0,31,True,2020-02-06 06:18:40.000000,0.4.0,11.0,imgaug,conda-forge/imgaug,,,,6390.0,5834.0,https://pypi.org/project/imgaug,2020-02-05 20:54:22.000000,556.0,214206.0,215900.0,https://anaconda.org/conda-forge/imgaug,2020-02-14 16:06:53.525000,37288.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n76,flair,flairNLP/flair,,nlp,https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,MIT,2018-06-11 11:04:18.000000,2021-04-08 14:13:04.000000,2021-04-07 13:34:53.000000,1538,104.0,1398.0,10192,3232.0,A very simple framework for state-of-the-art Natural Language Processing (NLP).,174.0,31,True,2021-03-05 11:57:03.000000,0.8,21.0,flair,,,,['pytorch'],733.0,685.0,https://pypi.org/project/flair,2021-03-08 23:08:40.000000,48.0,74580.0,74580.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n77,wordcloud,amueller/word_cloud,,data-viz,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59.000000,2021-03-21 10:56:17.000000,2021-03-01 23:14:14.000000,2025,97.0,349.0,7990,543.0,A little word cloud generator in Python.,61.0,31,True,2020-11-11 21:41:02.000000,1.8.1,16.0,wordcloud,conda-forge/wordcloud,,,,11027.0,9923.0,https://pypi.org/project/wordcloud,2020-11-11 21:41:02.000000,1104.0,381660.0,385270.0,https://anaconda.org/conda-forge/wordcloud,2021-01-14 18:03:24.960000,202177.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n78,DVC,iterative/dvc,,ml-experiments,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000000,2021-04-08 14:52:42.000000,2021-04-08 14:52:42.000000,727,557.0,2301.0,7669,6497.0,Data Version Control | Git for Data & Models.,217.0,31,True,2021-04-02 13:07:19.000000,2.0.17,315.0,dvc,conda-forge/dvc,,,,873.0,827.0,https://pypi.org/project/dvc,2021-04-01 18:42:52.000000,46.0,155170.0,184776.0,https://anaconda.org/conda-forge/dvc,2021-04-02 16:57:40.591000,577043.0,,,,,1.0,21285.0,,,,,,,,,dvc,dvc,dvc,,,,,,,,,,\n79,Altair,altair-viz/altair,,data-viz,https://github.com/altair-viz/altair,https://github.com/altair-viz/altair,BSD-3-Clause,2015-09-19 03:14:04.000000,2021-04-04 16:59:23.000000,2021-04-04 16:59:23.000000,580,292.0,1313.0,6554,3065.0,Declarative statistical visualization library for Python.,127.0,31,True,2020-04-01 13:29:16.000000,4.1.0,26.0,altair,conda-forge/altair,,,,9995.0,9625.0,https://pypi.org/project/altair,2020-04-01 13:23:10.000000,370.0,1031283.0,1043218.0,https://anaconda.org/conda-forge/altair,2020-04-01 16:49:36.519000,680350.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n80,Prefect,PrefectHQ/prefect,,data-pipelines,https://github.com/PrefectHQ/prefect,https://github.com/PrefectHQ/prefect,Apache-2.0,2018-06-29 21:59:26.000000,2021-04-08 15:07:04.000000,2021-04-07 22:20:25.000000,559,284.0,1395.0,6089,13733.0,The easiest way to automate your data.,198.0,31,True,2021-04-05 23:40:49.000000,0.14.15,92.0,prefect,conda-forge/prefect,,,,298.0,296.0,https://pypi.org/project/prefect,2021-04-05 23:40:49.000000,2.0,75033.0,78407.0,https://anaconda.org/conda-forge/prefect,2021-04-06 15:27:02.401000,84359.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n81,Catboost,catboost/catboost,,ml-frameworks,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000000,2021-04-08 10:52:32.000000,2021-04-08 10:52:29.000000,885,309.0,1101.0,5793,15604.0,\"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..\",767.0,31,True,2021-04-05 22:23:00.000000,0.25.1,93.0,catboost,conda-forge/catboost,,,,162.0,,https://pypi.org/project/catboost,2021-04-05 22:14:25.000000,162.0,2334791.0,2354111.0,https://anaconda.org/conda-forge/catboost,2021-03-25 13:40:44.571000,632931.0,,,,,2.0,53224.0,,,,,,,,,,,,,,,,,,,,,\n82,Chainer,chainer/chainer,,ml-frameworks,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37.000000,2021-02-17 11:20:21.000000,2021-02-17 11:20:21.000000,1374,18.0,2019.0,5554,30575.0,A flexible framework of neural networks for deep learning.,318.0,31,True,2021-01-13 10:14:54.000000,7.0.0.post1,109.0,chainer,,,,,2767.0,2025.0,https://pypi.org/project/chainer,2021-01-13 09:29:55.000000,742.0,23578.0,23578.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n83,imbalanced-learn,scikit-learn-contrib/imbalanced-learn,,sklearn-utils,https://github.com/scikit-learn-contrib/imbalanced-learn,https://github.com/scikit-learn-contrib/imbalanced-learn,MIT,2014-08-16 05:08:26.000000,2021-03-19 17:23:57.000000,2021-03-02 21:30:35.000000,1081,34.0,424.0,5147,736.0,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,55.0,31,True,2021-02-18 14:00:33.000000,0.8.0,27.0,imbalanced-learn,conda-forge/imbalanced-learn,,,['sklearn'],5015.0,4735.0,https://pypi.org/project/imbalanced-learn,2021-02-18 13:50:00.000000,280.0,1417576.0,1420445.0,https://anaconda.org/conda-forge/imbalanced-learn,2021-02-18 15:40:00.937000,120511.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n84,sentencepiece,google/sentencepiece,,nlp,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000000,2021-03-22 17:57:00.000000,2021-02-25 16:25:37.000000,657,31.0,402.0,4939,667.0,Unsupervised text tokenizer for Neural Network-based text generation.,50.0,31,True,2021-01-10 06:29:42.000000,0.1.95,30.0,sentencepiece,conda-forge/sentencepiece,,,,6978.0,6738.0,https://pypi.org/project/sentencepiece,2021-01-10 06:29:42.000000,240.0,1777137.0,1782227.0,https://anaconda.org/conda-forge/sentencepiece,2021-02-09 05:49:50.247000,42462.0,,,,,1.0,11925.0,,,,,,,,,,,,,,,,,,,,,\n85,Optuna,optuna/optuna,,hyperopt,https://github.com/optuna/optuna,https://github.com/optuna/optuna,MIT,2018-02-21 06:12:56.000000,2021-04-08 13:45:54.000000,2021-04-07 01:18:06.000000,490,189.0,589.0,4372,9639.0,A hyperparameter optimization framework.,131.0,31,True,2021-04-05 03:39:39.000000,2.7.0,37.0,optuna,conda-forge/optuna,,,,1196.0,1144.0,https://pypi.org/project/optuna,2021-04-05 03:39:39.000000,52.0,388257.0,389595.0,https://anaconda.org/conda-forge/optuna,2021-04-05 06:39:55.179000,22754.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n86,opencv-python,skvark/opencv-python,,image,https://github.com/opencv/opencv-python,https://github.com/opencv/opencv-python,MIT,2016-04-08 13:36:40.000000,2021-04-05 08:15:02.000000,2020-12-28 18:40:12.000000,342,22.0,383.0,1882,749.0,\"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..\",27.0,31,True,2021-01-03 17:36:16.000000,47,48.0,opencv-python,,,,,12560.0,,https://pypi.org/project/opencv-python,2021-01-03 17:07:49.000000,12560.0,3550035.0,3550035.0,,,,,,,,1.0,,2.0,,,,,,,,,,,opencv/opencv-python,,,,,,,,,\n87,numexpr,pydata/numexpr,,data-containers,https://github.com/pydata/numexpr,https://github.com/pydata/numexpr,MIT,2013-11-30 22:33:48.000000,2021-03-05 20:56:41.232000,2021-03-03 18:33:11.000000,166,53.0,251.0,1570,686.0,\"Fast numerical array expression evaluator for Python, NumPy, PyTables, pandas, bcolz and more.\",57.0,31,True,2021-03-03 18:13:19.000000,2.7.3,40.0,numexpr,conda-forge/numexpr,,,,5482.0,,https://pypi.org/project/numexpr,2021-03-03 18:13:19.000000,5482.0,1121408.0,1163906.0,https://anaconda.org/conda-forge/numexpr,2021-03-05 20:56:41.232000,2379938.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n88,SageMaker SDK,aws/sagemaker-python-sdk,,ml-experiments,https://github.com/aws/sagemaker-python-sdk,https://github.com/aws/sagemaker-python-sdk,Apache-2.0,2017-11-14 01:03:33.000000,2021-04-07 22:44:37.000000,2021-04-05 16:28:57.000000,604,246.0,541.0,1357,1950.0,A library for training and deploying machine learning models on Amazon SageMaker.,190.0,31,True,2021-04-05 16:29:05.000000,2.33.0,325.0,sagemaker,,,,\"['mxnet', 'tensorflow']\",681.0,653.0,https://pypi.org/project/sagemaker,2021-04-05 16:29:10.000000,28.0,821031.0,821031.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n89,dask.distributed,dask/distributed,,distributed-ml,https://github.com/dask/distributed,https://github.com/dask/distributed,BSD-3-Clause,2015-09-13 18:42:29.000000,2021-04-08 14:38:42.000000,2021-04-07 18:26:27.000000,518,757.0,1327.0,1173,,A distributed task scheduler for Dask.,238.0,31,True,2021-03-26 20:20:28.000000,2021.3.1,146.0,distributed,conda-forge/distributed,,,,19242.0,17464.0,https://pypi.org/project/distributed,2021-04-02 16:23:04.000000,1778.0,2409395.0,2477895.0,https://anaconda.org/conda-forge/distributed,2021-04-02 23:57:57.574000,4041536.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n90,pyproj,pyproj4/pyproj,,geospatial-data,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000000,2021-04-08 01:49:17.000000,2021-04-08 01:47:24.000000,149,11.0,395.0,597,1135.0,Python interface to PROJ (cartographic projections and coordinate transformations library).,39.0,31,True,2021-03-05 03:06:15.000000,3.0.1,34.0,pyproj,conda-forge/pyproj,,,,11610.0,9148.0,https://pypi.org/project/pyproj,2020-11-05 14:28:45.000000,2462.0,2223554.0,2256114.0,https://anaconda.org/conda-forge/pyproj,2021-03-05 14:16:16.093000,2083878.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n91,snowballstemmer,snowballstem/snowball,,nlp,https://github.com/snowballstem/snowball,https://github.com/snowballstem/snowball,BSD-3-Clause,2013-02-23 07:17:42.000000,2021-04-08 06:23:27.000000,2021-03-10 04:26:01.000000,133,17.0,42.0,488,847.0,Snowball compiler and stemming algorithms.,25.0,31,True,2021-01-21 11:43:00.000000,2.1.0,9.0,snowballstemmer,conda-forge/snowballstemmer,,,,60155.0,46973.0,https://pypi.org/project/snowballstemmer,2021-01-21 11:43:00.000000,13182.0,5050448.0,5092387.0,https://anaconda.org/conda-forge/snowballstemmer,2021-01-21 23:16:54.597000,2348611.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n92,jieba,fxsjy/jieba,,chinese-nlp,https://github.com/fxsjy/jieba,https://github.com/fxsjy/jieba,MIT,2012-09-29 07:52:01.000000,2020-12-05 18:32:32.000000,2020-02-15 08:33:35.000000,6175,601.0,197.0,25938,523.0,Chinese Words Segmentation Utilities.,48.0,30,False,2020-01-20 14:27:23.000000,0.42.1,32.0,jieba,conda-forge/jieba,,,,12206.0,9690.0,https://pypi.org/project/jieba,2020-01-20 14:27:23.000000,2516.0,356675.0,358185.0,https://anaconda.org/conda-forge/jieba,2020-03-25 20:57:40.090000,72482.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n93,Magenta,magenta/magenta,,audio,https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40.000000,2021-03-30 17:25:43.000000,2021-03-30 17:25:32.000000,3379,300.0,548.0,16484,1386.0,Magenta: Music and Art Generation with Machine Intelligence.,148.0,30,True,2020-11-12 19:17:18.000000,2.1.3,66.0,magenta,,,,['tensorflow'],353.0,283.0,https://pypi.org/project/magenta,2020-11-12 19:17:18.000000,70.0,8194.0,8194.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n94,zipline,quantopian/zipline,,financial-data,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29.000000,2021-02-14 16:26:07.000000,2020-10-14 16:36:49.000000,3947,339.0,647.0,13687,6226.0,\"Zipline, a Pythonic Algorithmic Trading Library.\",151.0,30,True,2020-10-05 15:46:20.429000,1.4.1,30.0,zipline,,,,,858.0,700.0,https://pypi.org/project/zipline,2020-10-05 15:46:20.429000,158.0,6576.0,6576.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n95,pyecharts,pyecharts/pyecharts,,data-viz,https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000000,2021-02-08 07:14:13.000000,2021-01-19 10:14:13.000000,2393,31.0,1371.0,10805,1512.0,Python Echarts Plotting Library.,30.0,30,True,2020-10-29 15:14:08.000000,1.9.0,66.0,pyecharts,,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,['jupyter'],1835.0,1553.0,https://pypi.org/project/pyecharts,2020-10-29 15:14:08.000000,282.0,36766.0,36766.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n96,TFlearn,tflearn/tflearn,,ml-frameworks,https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,MIT,2016-03-31 12:05:53.000000,2021-01-25 09:41:59.000000,2020-11-30 04:34:51.000000,2429,563.0,361.0,9535,613.0,Deep learning library featuring a higher-level API for TensorFlow.,128.0,30,True,2020-11-11 19:26:11.000000,0.5.0,8.0,tflearn,,,,['tensorflow'],4100.0,3138.0,https://pypi.org/project/tflearn,2020-11-11 19:13:47.000000,962.0,14908.0,14908.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n97,fuzzywuzzy,seatgeek/fuzzywuzzy,,nlp,https://github.com/seatgeek/fuzzywuzzy,https://github.com/seatgeek/fuzzywuzzy,GPL-2.0,2011-07-08 19:32:34.000000,2021-04-02 14:00:24.000000,2021-02-20 06:36:20.000000,826,97.0,98.0,7985,381.0,Fuzzy String Matching in Python.,68.0,30,False,2020-02-13 22:14:12.000000,0.18.0,27.0,fuzzywuzzy,conda-forge/fuzzywuzzy,,,,11581.0,8375.0,https://pypi.org/project/fuzzywuzzy,2020-02-13 21:06:25.000000,3206.0,4305028.0,4310128.0,https://anaconda.org/conda-forge/fuzzywuzzy,2020-11-18 12:59:01.409000,290730.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n98,Vowpal Wabbit,VowpalWabbit/vowpal_wabbit,,ml-frameworks,https://github.com/VowpalWabbit/vowpal_wabbit,https://github.com/VowpalWabbit/vowpal_wabbit,BSD-3-Clause,2009-07-31 19:36:58.000000,2021-04-08 14:06:13.000000,2021-04-07 19:49:05.000000,1731,142.0,897.0,7518,9119.0,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,298.0,30,True,2021-04-01 16:59:46.000000,8.10.0,15.0,vowpalwabbit,,,,,125.0,109.0,https://pypi.org/project/vowpalwabbit,2021-04-01 16:59:46.000000,16.0,18524.0,18524.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n99,glfw,glfw/glfw,,image,https://github.com/glfw/glfw,https://github.com/glfw/glfw,Zlib,2013-04-18 15:24:53.000000,2021-04-03 22:07:59.000000,2021-03-19 13:47:46.000000,2744,445.0,1005.0,7487,4226.0,\"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.\",168.0,30,False,2021-02-28 20:43:49.000000,2.1.0,38.0,glfw,conda-forge/glfw,,,,214.0,,https://pypi.org/project/glfw,2021-02-28 20:43:49.000000,214.0,38601.0,70755.0,https://anaconda.org/conda-forge/glfw,2021-03-10 07:13:09.292000,27941.0,,,,,2.0,2268888.0,,,,,,,,,,,,,,,,,,,,,\n100,Datasets,huggingface/datasets,,data-loading,https://github.com/huggingface/datasets,https://github.com/huggingface/datasets,Apache-2.0,2020-03-26 09:23:22.000000,2021-04-08 14:42:24.000000,2021-04-08 08:54:44.000000,812,268.0,418.0,7140,1507.0,\"The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools.\",254.0,30,True,2021-03-18 14:21:52.000000,1.5.0,17.0,datasets,,,,,579.0,561.0,https://pypi.org/project/datasets,2021-03-03 16:50:29.000000,18.0,90451.0,90451.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n101,SpeechRecognition,Uberi/speech_recognition,,audio,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54.000000,2021-02-28 19:52:57.000000,2019-07-02 17:29:47.000000,1902,217.0,270.0,5545,360.0,\"Speech recognition module for Python, supporting several engines and APIs, online and offline.\",41.0,30,False,2017-12-05 14:05:14.000000,3.8.1,52.0,SpeechRecognition,conda-forge/speechrecognition,,,,8704.0,7616.0,https://pypi.org/project/SpeechRecognition,2017-12-05 13:58:29.000000,1088.0,140308.0,142199.0,https://anaconda.org/conda-forge/speechrecognition,2021-01-11 17:26:33.040000,105902.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n102,Hyperopt,hyperopt/hyperopt,,hyperopt,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59.000000,2021-03-24 09:17:46.000000,2021-03-24 09:17:46.000000,879,339.0,225.0,5537,1172.0,Distributed Asynchronous Hyperparameter Optimization in Python.,87.0,30,True,2020-10-07 09:52:56.000000,0.2.5,11.0,hyperopt,conda-forge/hyperopt,,,,3455.0,2951.0,https://pypi.org/project/hyperopt,2020-10-07 09:52:56.000000,504.0,856636.0,862704.0,https://anaconda.org/conda-forge/hyperopt,2020-10-14 07:57:14.292000,188129.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n103,Pydub,jiaaro/pydub,,audio,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38.000000,2021-04-05 14:36:09.000000,2021-04-05 14:36:09.000000,708,178.0,243.0,5246,738.0,Manipulate audio with a simple and easy high level interface.,89.0,30,True,2021-03-10 02:10:41.000000,0.25.1,68.0,pydub,conda-forge/pydub,,,,7912.0,6558.0,https://pypi.org/project/pydub,2021-03-10 02:09:53.000000,1354.0,430755.0,431255.0,https://anaconda.org/conda-forge/pydub,2021-03-13 05:16:50.142000,14013.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n104,Autograd,HIPS/autograd,,others,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23.000000,2021-03-03 09:28:19.000000,2021-03-03 09:27:58.000000,717,161.0,218.0,5187,1376.0,Efficiently computes derivatives of numpy code.,51.0,30,True,2017-08-24 17:00:41.000000,1.1.13,24.0,autograd,conda-forge/autograd,,,,2044.0,1700.0,https://pypi.org/project/autograd,2019-07-25 16:21:07.000000,344.0,1255195.0,1258119.0,https://anaconda.org/conda-forge/autograd,2019-07-25 18:29:55.493000,163787.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n105,UMAP,lmcinnes/umap,,data-viz,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17.000000,2021-04-07 20:41:57.000000,2021-04-07 20:41:50.000000,514,240.0,244.0,4638,1385.0,Uniform Manifold Approximation and Projection.,76.0,30,True,2021-02-08 21:04:43.000000,0.5.1,35.0,umap-learn,,,,,2917.0,2691.0,https://pypi.org/project/umap-learn,2021-02-08 21:04:43.000000,226.0,342692.0,342692.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n106,Tesseract,madmaze/pytesseract,,ocr,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000000,2021-04-05 16:59:31.000000,2021-04-05 16:59:29.000000,523,6.0,248.0,3511,371.0,Python-tesseract is an optical character recognition (OCR) tool for python.,37.0,30,True,2020-12-15 05:24:52.000000,0.3.7,24.0,pytesseract,conda-forge/pytesseract,,,,1428.0,,https://pypi.org/project/pytesseract,2020-12-15 05:24:52.000000,1428.0,1078793.0,1084747.0,https://anaconda.org/conda-forge/pytesseract,2020-11-20 10:05:14.874000,125034.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n107,MLxtend,rasbt/mlxtend,,sklearn-utils,https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16.000000,2021-03-08 20:58:11.000000,2021-03-08 20:58:11.000000,697,97.0,283.0,3406,1209.0,A library of extension and helper modules for Python's data analysis and machine learning libraries.,83.0,30,True,2020-11-26 04:18:15.000000,0.18.0,46.0,mlxtend,conda-forge/mlxtend,,,['sklearn'],3031.0,2841.0,https://pypi.org/project/mlxtend,2020-11-26 04:18:15.000000,190.0,277023.0,280599.0,https://anaconda.org/conda-forge/mlxtend,2020-11-26 05:32:00.667000,160938.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n108,bqplot,bqplot/bqplot,,data-viz,https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18.000000,2021-04-08 11:51:20.294000,2021-04-08 11:28:30.000000,404,192.0,331.0,3047,3291.0,Plotting library for IPython/Jupyter notebooks.,51.0,30,True,2021-04-08 11:35:03.000000,0.12.25,93.0,bqplot,conda-forge/bqplot,,,['jupyter'],1453.0,1331.0,https://pypi.org/project/bqplot,2021-04-08 11:30:01.000000,112.0,34667.0,60065.0,https://anaconda.org/conda-forge/bqplot,2021-04-08 11:51:20.294000,564312.0,,,,,2.0,,,,bqplot,https://www.npmjs.com/package/bqplot,2021-04-08 11:27:40.636000,10.0,15834.0,,,,,,,,,,,,,,\n109,wandb client,wandb/client,,ml-experiments,https://github.com/wandb/client,https://github.com/wandb/client,MIT,2017-03-24 05:46:23.000000,2021-04-08 05:49:29.000000,2021-04-07 21:59:27.000000,204,300.0,745.0,2866,3905.0,A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.,74.0,30,True,2021-04-05 23:30:07.000000,0.10.25,195.0,wandb,,,,,2550.0,2472.0,https://pypi.org/project/wandb,2021-04-05 23:26:26.000000,78.0,368227.0,368227.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n110,torchtext,pytorch/text,,nlp,https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000000,2021-04-08 11:36:00.000000,2021-04-07 19:19:56.000000,624,290.0,323.0,2715,800.0,Data loaders and abstractions for text and NLP.,108.0,30,True,2021-03-25 17:19:08.000000,0.9.1-rc1,14.0,torchtext,,,,['pytorch'],4813.0,4131.0,https://pypi.org/project/torchtext,2021-03-25 16:29:43.000000,682.0,114542.0,114542.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n111,AzureML SDK,Azure/MachineLearningNotebooks,,ml-experiments,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000000,2021-04-06 16:36:12.000000,2021-04-06 16:36:12.000000,1627,136.0,882.0,2234,1118.0,Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft.,55.0,30,True,2021-03-09 04:02:53.000000,1.24.0,71.0,azureml-sdk,,,,,60.0,,https://pypi.org/project/azureml-sdk,2021-03-24 14:02:28.000000,60.0,574995.0,575008.0,,,,,,,,2.0,407.0,,,,,,,,,,,,,,,,,,,,,\n112,scikit-optimize,scikit-optimize/scikit-optimize,,hyperopt,https://github.com/scikit-optimize/scikit-optimize,https://github.com/scikit-optimize/scikit-optimize,BSD-3-Clause,2016-03-20 21:10:54.000000,2021-04-05 07:59:20.000000,2020-12-31 12:07:52.000000,396,205.0,361.0,2072,1541.0,Sequential model-based optimization with a `scipy.optimize` interface.,68.0,30,True,2020-09-04 09:08:10.000000,0.8.1,22.0,scikit-optimize,conda-forge/scikit-optimize,,,,1659.0,1499.0,https://pypi.org/project/scikit-optimize,2020-09-04 09:08:10.000000,160.0,1178453.0,1184271.0,https://anaconda.org/conda-forge/scikit-optimize,2020-09-04 09:50:52.372000,261834.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n113,smart-open,RaRe-Technologies/smart_open,,data-loading,https://github.com/RaRe-Technologies/smart_open,https://github.com/RaRe-Technologies/smart_open,MIT,2015-01-02 13:05:52.000000,2021-04-08 12:03:50.000000,2021-03-31 09:57:55.000000,279,56.0,246.0,1996,916.0,\"Utils for streaming large files (S3, HDFS, gzip, bz2...).\",78.0,30,True,2021-03-30 09:56:17.000000,5.0.0,48.0,smart-open,,,,,640.0,,https://pypi.org/project/smart-open,2021-03-30 09:55:04.000000,640.0,12863789.0,12863789.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n114,Geocoder,DenisCarriere/geocoder,,geospatial-data,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21.000000,2020-12-30 04:09:42.000000,2018-10-12 15:53:05.000000,260,90.0,217.0,1341,1251.0,Python Geocoder.,74.0,30,False,2018-04-04 12:34:51.000000,1.38.1,108.0,geocoder,conda-forge/geocoder,,,,4074.0,3230.0,https://pypi.org/project/geocoder,2018-04-04 12:34:51.000000,844.0,811374.0,813145.0,https://anaconda.org/conda-forge/geocoder,2019-06-27 16:40:50.469000,88578.0,,,,,2.0,,,,,,,,,,,,,,geocoder,,,,,,,,\n115,Wand,emcconville/wand,,image,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000000,2021-03-29 02:59:40.000000,2021-03-29 02:59:33.000000,183,14.0,325.0,1081,1698.0,The ctypes-based simple ImageMagick binding for Python.,95.0,30,True,2021-02-28 13:13:25.000000,0.6.6,48.0,wand,,,,,4935.0,3765.0,https://pypi.org/project/wand,2021-02-28 12:46:37.000000,1170.0,265596.0,265775.0,,,,,,,,2.0,5214.0,,,,,,,,,,,,,,,,,,,,,\n116,Fiona,Toblerity/Fiona,,geospatial-data,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00.000000,2021-04-08 06:39:37.208000,2020-11-30 07:11:40.000000,168,79.0,553.0,792,1093.0,Fiona reads and writes geographic data files.,65.0,30,True,2021-04-07 21:57:31.000000,1.8.19,97.0,fiona,conda-forge/fiona,,,,6600.0,5412.0,https://pypi.org/project/fiona,2021-04-07 21:57:31.000000,1188.0,1215962.0,1246210.0,https://anaconda.org/conda-forge/fiona,2021-04-08 06:39:37.208000,1845151.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n117,Nilearn,nilearn/nilearn,,medical-data,https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000000,2021-04-08 13:04:39.000000,2021-04-07 06:42:22.000000,388,378.0,1172.0,721,9327.0,Machine learning for NeuroImaging in Python.,165.0,30,True,2020-11-12 11:44:49.000000,0.7.0,36.0,nilearn,conda-forge/nilearn,,,['sklearn'],1247.0,945.0,https://pypi.org/project/nilearn,2021-03-10 13:17:17.000000,302.0,18766.0,20300.0,https://anaconda.org/conda-forge/nilearn,2021-03-10 17:33:32.831000,90560.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n118,NiBabel,nipy/nibabel,,medical-data,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30.000000,2021-03-23 16:53:21.000000,2021-03-09 13:05:45.000000,214,112.0,288.0,400,4958.0,Python package to access a cacophony of neuro-imaging file formats.,89.0,30,True,2020-11-28 22:19:50.000000,3.2.1,32.0,nibabel,conda-forge/nibabel,,,,5279.0,4015.0,https://pypi.org/project/nibabel,2020-11-28 22:18:23.000000,1264.0,103947.0,109419.0,https://anaconda.org/conda-forge/nibabel,2020-11-29 03:40:05.178000,322878.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n119,Face Recognition,ageitgey/face_recognition,,image,https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39.000000,2021-03-20 02:37:00.000000,2020-09-26 15:32:59.000000,11016,591.0,534.0,39307,211.0,The world's simplest facial recognition api for Python and the command line.,45.0,29,True,2018-08-21 18:34:21.000000,1.2.3,21.0,face_recognition,,,,['pytorch'],406.0,,https://pypi.org/project/face_recognition,2018-08-21 18:34:21.000000,406.0,44667.0,44676.0,,,,,,,,2.0,441.0,,,,,,,,,,,,,,,,,,,,,\n120,fastText,facebookresearch/fastText,,nlp,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000000,2021-01-15 15:28:41.000000,2020-07-18 00:20:40.000000,4325,446.0,594.0,22411,379.0,Library for fast text representation and classification.,58.0,29,True,2020-04-28 09:54:50.000000,0.9.2,35.0,fasttext,conda-forge/fasttext,,,,1821.0,1631.0,https://pypi.org/project/fasttext,2020-04-28 09:54:50.000000,190.0,238436.0,238884.0,https://anaconda.org/conda-forge/fasttext,2020-10-12 14:55:45.199000,18840.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n121,Faiss,facebookresearch/faiss,,nn-search,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000000,2021-04-08 12:30:14.000000,2021-04-08 10:01:53.000000,2177,124.0,1332.0,13131,505.0,A library for efficient similarity search and clustering of dense vectors.,82.0,29,True,2021-03-08 12:52:06.000000,1.0.1,46.0,pymilvus,conda-forge/faiss,,,,347.0,341.0,https://pypi.org/project/pymilvus,2021-03-08 12:52:06.000000,6.0,13479.0,19012.0,https://anaconda.org/conda-forge/faiss,2021-04-08 11:35:57.028000,60870.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n122,Prophet,facebook/prophet,,time-series-data,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000000,2021-04-07 10:12:35.000000,2021-04-03 22:03:28.000000,3587,50.0,1511.0,12503,651.0,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,129.0,29,True,2021-04-02 23:45:16.000000,1.0,14.0,fbprophet,,,,,150.0,,https://pypi.org/project/fbprophet,2020-09-05 16:12:50.000000,150.0,795580.0,795591.0,,,,,,,,1.0,576.0,,,,,,,,,,,,,,,,,,,,,\n123,horovod,horovod/horovod,,distributed-ml,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000000,2021-04-08 14:10:39.000000,2021-04-08 14:10:36.000000,1790,229.0,1530.0,11068,904.0,\"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.\",114.0,29,True,2021-02-15 20:51:41.000000,0.21.3,64.0,horovod,,,,,388.0,348.0,https://pypi.org/project/horovod,2021-02-15 20:51:41.000000,40.0,54588.0,54588.0,,,,,,,,2.0,,,stable/horovod,,,,,,,,,,,,,,,,,,,\n124,PyTorch Geometric,rusty1s/pytorch_geometric,,graph,https://github.com/rusty1s/pytorch_geometric,https://github.com/rusty1s/pytorch_geometric,MIT,2017-10-06 16:03:03.000000,2021-04-06 14:03:31.000000,2021-04-06 14:03:29.000000,1820,749.0,1174.0,10657,4348.0,Geometric Deep Learning Extension Library for PyTorch.,155.0,29,True,2020-12-02 14:57:09.000000,1.6.3,25.0,torch-geometric,,,,['pytorch'],24.0,,https://pypi.org/project/torch-geometric,2020-11-27 07:18:41.000000,24.0,35635.0,35635.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n125,Lime,marcotcr/lime,,interpretability,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10.000000,2021-02-04 08:58:12.000000,2021-01-12 16:12:17.000000,1402,63.0,442.0,8612,508.0,Lime: Explaining the predictions of any machine learning classifier.,57.0,29,True,2020-04-03 22:05:03.000000,0.2.0.0,38.0,lime,conda-forge/lime,,,,1296.0,1168.0,https://pypi.org/project/lime,2020-06-26 21:38:15.000000,128.0,310237.0,311554.0,https://anaconda.org/conda-forge/lime,2020-06-28 01:02:41.538000,68527.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n126,Annoy,spotify/annoy,,nn-search,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40.000000,2021-03-01 19:06:27.000000,2020-12-03 18:21:18.000000,903,37.0,269.0,8314,785.0,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,68.0,29,True,2020-09-18 16:07:59.000000,1.17.0,43.0,annoy,,,,,1877.0,1517.0,https://pypi.org/project/annoy,2020-09-18 16:07:59.000000,360.0,405094.0,405094.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n127,TPOT,EpistasisLab/tpot,,hyperopt,https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40.000000,2021-03-17 21:46:35.000000,2021-01-06 15:17:46.000000,1396,214.0,592.0,7940,2368.0,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,108.0,29,False,2021-01-06 15:20:08.000000,0.11.7,60.0,tpot,conda-forge/tpot,,,['sklearn'],982.0,902.0,https://pypi.org/project/tpot,2021-01-06 15:20:08.000000,80.0,33734.0,35796.0,https://anaconda.org/conda-forge/tpot,2021-03-05 04:04:38.005000,113429.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n128,Albumentations,albumentations-team/albumentations,,image,https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000000,2021-04-02 10:55:20.000000,2021-04-02 10:55:20.000000,974,183.0,248.0,7647,628.0,Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation:..,76.0,29,True,2020-11-29 14:30:07.000000,0.5.2,44.0,albumentations,conda-forge/albumentations,,,['pytorch'],3325.0,3197.0,https://pypi.org/project/albumentations,2020-11-29 14:30:07.000000,128.0,109877.0,110640.0,https://anaconda.org/conda-forge/albumentations,2020-11-29 15:51:47.610000,16798.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n129,TextBlob,sloria/TextBlob,,nlp,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18.000000,2021-03-22 12:19:42.000000,2021-03-22 12:18:30.000000,995,85.0,150.0,7607,535.0,\"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..\",34.0,29,True,2019-02-24 23:03:17.000000,0.15.3,55.0,textblob,conda-forge/textblob,,,,13649.0,11157.0,https://pypi.org/project/textblob,2019-02-24 23:03:17.000000,2492.0,405896.0,407983.0,https://anaconda.org/conda-forge/textblob,2019-02-24 23:32:55.233000,116885.0,,,,,2.0,90.0,,,,,,,,,,,,,,,,,,,,,\n130,MoviePy,Zulko/moviepy,,image,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000000,2021-04-06 14:58:15.000000,2021-04-06 14:58:15.000000,1022,337.0,717.0,7423,1014.0,Video editing with Python.,137.0,29,True,2020-05-07 16:29:35.000000,1.0.3,84.0,moviepy,conda-forge/moviepy,,,,7875.0,6745.0,https://pypi.org/project/moviepy,2020-10-05 00:26:29.000000,1130.0,291216.0,292950.0,https://anaconda.org/conda-forge/moviepy,2020-02-23 19:57:49.975000,78048.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n131,pandas-profiling,pandas-profiling/pandas-profiling,,data-viz,https://github.com/pandas-profiling/pandas-profiling,https://github.com/pandas-profiling/pandas-profiling,MIT,2016-01-09 23:47:55.000000,2021-04-08 11:51:15.000000,2021-04-08 11:29:13.000000,1049,72.0,382.0,7062,784.0,Create HTML profiling reports from pandas DataFrame objects.,75.0,29,True,2021-02-20 14:18:35.000000,2.11.0,27.0,pandas-profiling,conda-forge/pandas-profiling,,,\"['jupyter', 'pandas']\",3721.0,3561.0,https://pypi.org/project/pandas-profiling,2021-02-07 23:45:05.000000,160.0,339067.0,341128.0,https://anaconda.org/conda-forge/pandas-profiling,2021-02-20 16:48:07.057000,115466.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n132,tensorboardX,lanpa/tensorboardX,,ml-experiments,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19.000000,2021-04-06 13:33:53.253000,2021-04-03 15:54:51.000000,795,63.0,355.0,6892,468.0,\"tensorboard for pytorch (and chainer, mxnet, numpy, ...).\",65.0,29,True,2020-07-05 17:54:10.000000,2.0,13.0,tensorboardX,conda-forge/tensorboardx,,,,12521.0,11187.0,https://pypi.org/project/tensorboardX,2020-07-05 16:22:14.000000,1334.0,488054.0,496702.0,https://anaconda.org/conda-forge/tensorboardx,2021-04-06 13:33:53.253000,337024.0,,,,,2.0,317.0,,,,,,,,,,,,,,,,,,,,,\n133,Modin,modin-project/modin,,data-containers,https://github.com/modin-project/modin,https://github.com/modin-project/modin,Apache-2.0,2018-06-21 21:35:05.000000,2021-04-08 13:59:44.000000,2021-04-07 13:15:59.000000,413,495.0,1193.0,5942,1342.0,Modin: Speed up your Pandas workflows by changing a single line of code.,75.0,29,True,2021-03-16 02:04:13.000000,0.9.1,37.0,modin,,,,['pandas'],348.0,330.0,https://pypi.org/project/modin,2021-03-04 23:04:25.000000,18.0,109742.0,115662.0,,,,,,,,2.0,195392.0,,,,,,,,,,,,,,,,,,,,,\n134,sentence-transformers,UKPLab/sentence-transformers,,nlp,https://github.com/UKPLab/sentence-transformers,https://github.com/UKPLab/sentence-transformers,Apache-2.0,2019-07-24 10:53:51.000000,2021-04-05 05:16:18.000000,2021-04-05 05:16:18.000000,870,369.0,416.0,4645,704.0,Sentence Embeddings with BERT & XLNet.,44.0,29,True,2021-04-01 06:35:11.000000,1.0.4,33.0,sentence-transformers,,,,['pytorch'],846.0,846.0,https://pypi.org/project/sentence-transformers,2021-03-22 08:13:41.000000,0.0,937895.0,937895.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n135,PyOD,yzhao062/pyod,,others,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04.000000,2021-03-15 01:20:52.000000,2021-02-18 15:48:37.000000,880,109.0,85.0,4344,1255.0,(JMLR'19) A Python Toolbox for Scalable Outlier Detection (Anomaly Detection).,23.0,29,True,2021-02-18 15:53:13.000000,0.8.7,65.0,pyod,,,,,566.0,560.0,https://pypi.org/project/pyod,2021-02-18 15:53:13.000000,6.0,146283.0,146283.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n136,TinyDB,msiemens/tinydb,,data-containers,https://github.com/msiemens/tinydb,https://github.com/msiemens/tinydb,MIT,2013-07-12 23:31:13.000000,2021-04-07 21:34:01.000000,2021-03-02 07:16:50.000000,367,10.0,244.0,4143,609.0,TinyDB is a lightweight document oriented database optimized for your happiness :).,63.0,29,True,2021-02-11 19:31:26.000000,4.4.0,59.0,tinydb,conda-forge/tinydb,,,,1118.0,,https://pypi.org/project/tinydb,2021-02-11 19:31:24.000000,1118.0,265308.0,267228.0,https://anaconda.org/conda-forge/tinydb,2021-02-11 21:20:33.462000,111414.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n137,kaggle,Kaggle/kaggle-api,,ml-experiments,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000000,2021-03-19 16:43:36.000000,2021-03-15 15:49:05.000000,792,172.0,115.0,3956,145.0,Official Kaggle API.,36.0,29,True,2021-03-13 00:50:03.000000,1.5.12,48.0,kaggle,conda-forge/kaggle,,,,5554.0,4990.0,https://pypi.org/project/kaggle,2021-03-13 00:50:03.000000,564.0,157674.0,159876.0,https://anaconda.org/conda-forge/kaggle,2021-03-16 16:09:03.613000,50659.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n138,Kedro,quantumblacklabs/kedro,,data-pipelines,https://github.com/quantumblacklabs/kedro,https://github.com/quantumblacklabs/kedro,Apache-2.0,2019-04-18 10:29:56.000000,2021-04-08 03:05:02.000000,2021-04-06 17:40:47.000000,424,77.0,381.0,3672,1199.0,\"A Python framework for creating reproducible, maintainable and modular data science code.\",102.0,29,True,2021-03-15 18:11:52.000000,0.17.2,26.0,kedro,,,,,458.0,442.0,https://pypi.org/project/kedro,2021-03-15 18:11:52.000000,16.0,128325.0,128325.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n139,sacred,IDSIA/sacred,,ml-experiments,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29.000000,2021-03-22 18:11:21.000000,2021-02-25 06:50:58.000000,314,92.0,403.0,3402,1303.0,\"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.\",92.0,29,True,2020-12-14 15:21:05.000000,0.8.2,27.0,sacred,,,,,1017.0,863.0,https://pypi.org/project/sacred,2020-12-14 15:21:05.000000,154.0,21671.0,21671.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n140,Dedupe,dedupeio/dedupe,,nlp,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36.000000,2021-03-24 15:27:24.000000,2021-03-24 15:27:24.000000,423,60.0,579.0,2972,2807.0,\"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.\",56.0,29,True,2021-02-28 20:52:16.000000,2.0.7,158.0,dedupe,,,,,257.0,179.0,https://pypi.org/project/dedupe,2021-02-28 20:52:16.000000,78.0,96014.0,96014.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n141,dbt,fishtown-analytics/dbt,,data-pipelines,https://github.com/fishtown-analytics/dbt,https://github.com/fishtown-analytics/dbt,Apache-2.0,2016-03-10 02:38:00.000000,2021-04-08 03:22:12.000000,2021-04-06 18:05:17.000000,547,324.0,1509.0,2784,2481.0,dbt (data build tool) enables data analysts and engineers to transform their data using the same practices that..,140.0,29,True,2021-03-31 18:19:23.000000,0.19.1,150.0,dbt,conda-forge/dbt,,,,261.0,243.0,https://pypi.org/project/dbt,2021-03-31 17:48:44.000000,18.0,316448.0,319451.0,https://anaconda.org/conda-forge/dbt,2020-05-14 13:55:32.153000,159211.0,,,,,2.0,,,,,,,,,,dbt,,,,,,,,,,,,\n142,Koalas,databricks/koalas,,data-containers,https://github.com/databricks/koalas,https://github.com/databricks/koalas,Apache-2.0,2019-01-03 21:46:54.000000,2021-04-08 12:49:14.000000,2021-04-08 04:59:25.000000,304,109.0,439.0,2736,1528.0,Koalas: pandas API on Apache Spark.,50.0,29,True,2021-03-08 10:28:06.000000,1.7.0,44.0,koalas,conda-forge/koalas,,,\"['spark', 'pandas']\",86.0,84.0,https://pypi.org/project/koalas,2021-03-08 10:28:06.000000,2.0,1943942.0,1947598.0,https://anaconda.org/conda-forge/koalas,2021-03-09 01:46:58.770000,83211.0,,,,,2.0,996.0,,,,,,,,,,,,,,,,,,,,,\n143,VisPy,vispy/vispy,,data-viz,https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22.000000,2021-03-16 16:52:55.000000,2021-03-15 18:34:47.000000,541,354.0,817.0,2619,6471.0,High-performance interactive 2D/3D data visualization library.,149.0,29,True,2020-12-14 15:55:00.000000,0.6.6,16.0,vispy,conda-forge/vispy,,,['jupyter'],606.0,484.0,https://pypi.org/project/vispy,2020-11-28 02:55:50.000000,122.0,29511.0,32849.0,https://anaconda.org/conda-forge/vispy,2021-01-13 03:28:46.609000,136788.0,,,,,2.0,,,,vispy,https://www.npmjs.com/package/vispy,2020-03-15 14:39:41.516000,,82.0,,,,,,,,,,,,,,\n144,mrjob,Yelp/mrjob,,data-pipelines,https://github.com/Yelp/mrjob,https://github.com/Yelp/mrjob,Apache-2.0,2010-10-13 18:35:21.000000,2021-03-31 18:37:58.000000,2020-11-16 22:20:52.000000,590,202.0,1089.0,2536,8622.0,Run MapReduce jobs on Hadoop or Amazon Web Services.,142.0,29,True,2020-09-17 22:26:01.000000,0.7.4,60.0,mrjob,conda-forge/mrjob,,,,825.0,713.0,https://pypi.org/project/mrjob,2020-09-17 22:26:01.000000,112.0,108342.0,114507.0,https://anaconda.org/conda-forge/mrjob,2020-12-24 22:44:29.424000,339083.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n145,PyQtGraph,pyqtgraph/pyqtgraph,,data-viz,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21.000000,2021-04-08 13:40:30.000000,2021-04-07 01:52:46.000000,825,279.0,525.0,2362,2620.0,Fast data visualization and GUI tools for scientific / engineering applications.,189.0,29,True,2021-04-07 01:54:38.000000,pyqtgraph-0.12.1,14.0,pyqtgraph,conda-forge/pyqtgraph,,,,890.0,,https://pypi.org/project/pyqtgraph,2021-04-07 02:34:28.000000,890.0,50378.0,53736.0,https://anaconda.org/conda-forge/pyqtgraph,2021-04-07 05:35:51.854000,171268.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n146,GPyTorch,cornellius-gp/gpytorch,,probabilistics,https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000000,2021-04-06 17:34:16.000000,2021-04-05 19:41:08.000000,336,208.0,679.0,2344,3389.0,A highly efficient and modular implementation of Gaussian Processes in PyTorch.,76.0,29,True,2021-02-23 14:34:28.000000,1.4.0,25.0,gpytorch,,,,['pytorch'],262.0,254.0,https://pypi.org/project/gpytorch,2021-01-19 22:09:01.000000,8.0,72896.0,72896.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n147,NMSLIB,nmslib/nmslib,,nn-search,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06.000000,2021-03-16 02:11:45.000000,2021-03-16 02:11:39.000000,339,41.0,322.0,2337,1503.0,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,44.0,29,True,2021-02-03 16:40:09.000000,2.1.1,32.0,nmslib,conda-forge/nmslib,,,,401.0,349.0,https://pypi.org/project/nmslib,2021-02-03 00:02:08.000000,52.0,65380.0,67181.0,https://anaconda.org/conda-forge/nmslib,2021-01-08 16:19:07.762000,21619.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n148,hmmlearn,hmmlearn/hmmlearn,,probabilistics,https://github.com/hmmlearn/hmmlearn,https://github.com/hmmlearn/hmmlearn,BSD-3-Clause,2014-03-23 10:33:09.000000,2021-02-05 09:47:49.000000,2021-02-05 09:47:44.000000,647,67.0,279.0,2224,355.0,\"Hidden Markov Models in Python, with scikit-learn like API.\",32.0,29,True,2021-02-03 14:33:20.000000,0.2.5,7.0,hmmlearn,conda-forge/hmmlearn,,,['sklearn'],1136.0,930.0,https://pypi.org/project/hmmlearn,2021-02-03 14:32:44.000000,206.0,176648.0,179148.0,https://anaconda.org/conda-forge/hmmlearn,2021-02-04 16:23:17.046000,72501.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n149,pandas-datareader,pydata/pandas-datareader,,data-loading,https://github.com/pydata/pandas-datareader,https://github.com/pydata/pandas-datareader,BSD-3-Clause,2015-01-15 00:34:19.000000,2021-04-07 09:06:37.000000,2020-12-31 11:58:23.000000,521,86.0,370.0,1949,764.0,Extract data from a wide range of Internet sources into a pandas DataFrame.,77.0,29,True,2020-07-10 10:04:14.000000,0.9.0,21.0,pandas-datareader,conda-forge/pandas-datareader,,,['pandas'],10057.0,8651.0,https://pypi.org/project/pandas-datareader,2020-07-10 10:04:14.000000,1406.0,214295.0,216609.0,https://anaconda.org/conda-forge/pandas-datareader,2021-03-16 22:58:42.079000,111084.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n150,ipyparallel,ipython/ipyparallel,,distributed-ml,https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,BSD-3-Clause,2015-04-09 07:43:55.000000,2021-03-25 14:31:17.000000,2021-02-22 12:08:33.000000,768,146.0,107.0,1930,1830.0,Interactive Parallel Computing in Python.,97.0,29,True,2020-05-05 18:42:38.000000,6.3.0,21.0,ipyparallel,conda-forge/ipyparallel,,,['jupyter'],1965.0,1475.0,https://pypi.org/project/ipyparallel,2020-05-05 18:42:38.000000,490.0,112854.0,119737.0,https://anaconda.org/conda-forge/ipyparallel,2021-01-22 17:12:52.539000,412987.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n151,ImageHash,JohannesBuchner/imagehash,,image,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48.000000,2021-03-25 13:32:22.000000,2021-01-03 14:55:15.000000,255,22.0,74.0,1903,184.0,A Python Perceptual Image Hashing Module.,17.0,29,True,2021-03-25 13:49:48.000000,4.1.0,17.0,ImageHash,conda-forge/imagehash,,,,2818.0,2286.0,https://pypi.org/project/ImageHash,2020-11-19 14:54:24.000000,532.0,593580.0,595676.0,https://anaconda.org/conda-forge/imagehash,2020-11-19 18:20:49.964000,111124.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n152,HoloViews,holoviz/holoviews,,data-viz,https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000000,2021-04-08 13:54:50.000000,2021-04-08 12:59:54.000000,308,707.0,1840.0,1849,10162.0,\"With Holoviews, your data visualizes itself.\",102.0,29,True,2021-04-08 13:54:50.000000,1.14.3,70.0,holoviews,conda-forge/holoviews,,,['jupyter'],170.0,,https://pypi.org/project/holoviews,2021-04-08 13:54:50.000000,170.0,74873.0,88690.0,https://anaconda.org/conda-forge/holoviews,2021-03-02 20:37:26.420000,459758.0,,,,,2.0,,,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,2020-05-24 13:49:54.205000,,6025.0,,,,,,,,,,,,,,\n153,hdbscan,scikit-learn-contrib/hdbscan,,others,https://github.com/scikit-learn-contrib/hdbscan,https://github.com/scikit-learn-contrib/hdbscan,BSD-3-Clause,2015-04-22 13:32:37.000000,2021-04-07 15:55:02.000000,2021-04-07 15:55:02.000000,339,225.0,146.0,1847,884.0,A high performance implementation of HDBSCAN clustering.,69.0,29,True,2021-02-03 20:21:02.000000,0.8.27,43.0,hdbscan,conda-forge/hdbscan,,,['sklearn'],921.0,797.0,https://pypi.org/project/hdbscan,2021-02-03 20:21:02.000000,124.0,203724.0,214588.0,https://anaconda.org/conda-forge/hdbscan,2021-02-14 03:07:15.749000,619269.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n154,Lifelines,CamDavidsonPilon/lifelines,,medical-data,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42.000000,2021-04-06 18:57:53.837000,2021-04-06 15:57:45.000000,418,195.0,598.0,1600,2103.0,Survival analysis in Python.,92.0,29,True,2021-04-06 15:58:34.000000,0.25.11,154.0,lifelines,conda-forge/lifelines,,,,662.0,536.0,https://pypi.org/project/lifelines,2021-02-05 04:36:18.000000,126.0,246703.0,249066.0,https://anaconda.org/conda-forge/lifelines,2021-04-06 18:57:53.837000,137086.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n155,pyLDAvis,bmabey/pyLDAvis,,interpretability,https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03.000000,2021-03-27 19:16:59.000000,2021-03-24 13:03:31.000000,302,75.0,72.0,1431,240.0,Python library for interactive topic model visualization. Port of the R LDAvis package.,32.0,29,True,2021-03-24 13:05:21.000000,3.3.1,24.0,pyldavis,conda-forge/pyldavis,,,['jupyter'],2153.0,1955.0,https://pypi.org/project/pyldavis,2021-03-24 12:57:08.000000,198.0,123505.0,124174.0,https://anaconda.org/conda-forge/pyldavis,2021-03-24 15:17:07.309000,22771.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n156,torchaudio,pytorch/audio,,audio,https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000000,2021-04-08 12:22:48.000000,2021-04-08 00:47:28.000000,296,149.0,304.0,1286,812.0,\"Data manipulation and transformation for audio signal processing, powered by PyTorch.\",114.0,29,True,2021-03-25 16:30:33.000000,0.8.1,14.0,torchaudio,,,,['pytorch'],2219.0,2201.0,https://pypi.org/project/torchaudio,2021-03-25 16:29:07.000000,18.0,190828.0,190828.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n157,ipyleaflet,jupyter-widgets/ipyleaflet,,geospatial-data,https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10.000000,2021-03-11 08:40:09.000000,2021-03-11 08:40:06.000000,290,153.0,256.0,1106,910.0,A Jupyter - Leaflet.js bridge.,63.0,29,True,2021-01-05 16:38:38.000000,0.13.6,70.0,ipyleaflet,conda-forge/ipyleaflet,,,['jupyter'],877.0,777.0,https://pypi.org/project/ipyleaflet,2021-01-05 16:38:38.000000,98.0,30380.0,61361.0,https://anaconda.org/conda-forge/ipyleaflet,2021-01-16 23:51:37.383000,640904.0,,,,,3.0,,,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2021-01-05 16:30:30.235000,2.0,20119.0,,,,,,,,,,,,,,\n158,PyTables,PyTables/PyTables,,data-containers,https://github.com/PyTables/PyTables,https://github.com/PyTables/PyTables,BSD-3-Clause,2011-06-03 19:44:46.000000,2021-03-26 00:08:03.000000,2021-03-20 09:04:48.000000,204,168.0,449.0,1014,3954.0,A Python package to manage extremely large amounts of data.,98.0,29,True,2019-10-30 19:33:37.000000,3.6.1,25.0,tables,conda-forge/pytables,,,,3754.0,,https://pypi.org/project/tables,2019-10-30 19:33:37.000000,3754.0,595107.0,638780.0,https://anaconda.org/conda-forge/pytables,2021-01-14 18:41:06.536000,2445587.0,,,,,2.0,128.0,,,,,,,,,,,,,,,,,,,,,\n159,Graphviz,xflr6/graphviz,,data-viz,https://github.com/xflr6/graphviz,https://github.com/xflr6/graphviz,MIT,2014-01-12 17:49:29.000000,2021-03-14 18:19:06.000000,2021-03-14 18:18:52.000000,142,9.0,99.0,958,458.0,Simple Python interface for Graphviz.,15.0,29,True,2020-10-07 09:06:41.000000,0.14.2,47.0,graphviz,,,,,23349.0,18967.0,https://pypi.org/project/graphviz,2020-12-24 16:17:24.000000,4382.0,5765082.0,5765082.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n160,Keras-Preprocessing,keras-team/keras-preprocessing,,others,https://github.com/keras-team/keras-preprocessing,https://github.com/keras-team/keras-preprocessing,MIT,2018-05-30 22:43:36.000000,2021-02-04 19:43:30.000000,2021-02-04 19:43:30.000000,420,93.0,99.0,930,284.0,\"Utilities for working with image data, text data, and sequence data.\",50.0,29,True,2020-05-14 03:53:47.000000,1.1.2,12.0,keras-preprocessing,conda-forge/keras-preprocessing,,,['tensorflow'],2736.0,,https://pypi.org/project/keras-preprocessing,2020-05-14 03:53:47.000000,2736.0,5424814.0,5450918.0,https://anaconda.org/conda-forge/keras-preprocessing,2021-01-15 12:28:58.923000,887564.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n161,snakemake,snakemake/snakemake,,ml-experiments,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867000,2021-04-08 09:59:46.000000,2021-04-07 08:44:17.000000,201,369.0,222.0,920,4055.0,\"This is the development home of the workflow management system Snakemake. For general information, see.\",198.0,29,True,2021-04-07 08:44:55.000000,6.1.1,169.0,snakemake,bioconda/snakemake,,,,1071.0,783.0,https://pypi.org/project/snakemake,2021-04-07 08:45:39.000000,288.0,17906.0,22275.0,https://anaconda.org/bioconda/snakemake,2021-04-07 12:24:31.411000,288394.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n162,TensorFlow Transform,tensorflow/transform,,tensorflow-utils,https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53.000000,2021-04-08 11:30:07.000000,2021-04-08 11:30:02.000000,169,35.0,122.0,864,628.0,Input pipeline framework.,27.0,29,True,2021-03-25 17:54:01.000000,0.29.0,36.0,tensorflow-transform,,,,['tensorflow'],510.0,426.0,https://pypi.org/project/tensorflow-transform,2021-03-25 17:54:01.000000,84.0,9787318.0,9787318.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n163,Bottleneck,pydata/bottleneck,,data-containers,https://github.com/pydata/bottleneck,https://github.com/pydata/bottleneck,BSD-2-Clause,2010-11-27 23:21:22.000000,2021-03-22 17:21:10.000000,2021-01-24 18:39:03.000000,66,28.0,177.0,597,1241.0,Fast NumPy array functions written in C.,21.0,29,True,2020-02-21 06:22:16.000000,1.3.2,21.0,Bottleneck,conda-forge/bottleneck,,,,23316.0,20424.0,https://pypi.org/project/Bottleneck,2020-02-21 06:22:16.000000,2892.0,338168.0,363441.0,https://anaconda.org/conda-forge/bottleneck,2021-01-21 02:48:32.623000,1491120.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n164,NIPYPE,nipy/nipype,,medical-data,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000000,2021-04-06 16:52:17.000000,2021-04-05 12:54:30.000000,456,337.0,877.0,560,14077.0,Workflows and interfaces for neuroimaging packages.,212.0,29,True,2020-11-28 17:23:30.000000,1.6.0,54.0,nipype,conda-forge/nipype,,,,743.0,551.0,https://pypi.org/project/nipype,2020-11-28 17:23:30.000000,192.0,18144.0,24848.0,https://anaconda.org/conda-forge/nipype,2020-11-28 17:44:51.813000,382152.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n165,detectron2,facebookresearch/detectron2,,image,https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000000,2021-04-08 06:05:46.000000,2021-04-08 02:22:34.000000,4062,96.0,2276.0,15828,1081.0,Detectron2 is FAIR's next-generation platform for object detection and segmentation.,150.0,28,True,2021-03-13 01:36:49.000000,0.4,8.0,,conda-forge/detectron2,,,['pytorch'],203.0,203.0,,,,,1455.0,https://anaconda.org/conda-forge/detectron2,2020-08-05 13:27:52.058000,16010.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n166,Rasa,RasaHQ/rasa,,nlp,https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49.000000,2021-04-08 14:16:37.000000,2021-04-08 10:24:05.000000,3345,611.0,4635.0,11116,,\"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..\",474.0,28,True,2021-03-29 20:27:02.000000,1.10.24,195.0,rasa,,,,['tensorflow'],64.0,,https://pypi.org/project/rasa,2021-03-26 10:32:54.000000,64.0,149162.0,149162.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n167,Turi Create,apple/turicreate,,ml-frameworks,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04.000000,2021-03-31 19:36:36.000000,2021-03-31 19:36:36.000000,1091,476.0,1262.0,10210,1567.0,Turi Create simplifies the development of custom machine learning models.,82.0,28,True,2020-09-30 22:51:40.000000,6.4.1,31.0,turicreate,,,,,269.0,235.0,https://pypi.org/project/turicreate,2020-09-30 22:51:40.000000,34.0,23303.0,23400.0,,,,,,,,2.0,3916.0,,,,,,,,,,,,,,,,,,,,,\n168,Dopamine,google/dopamine,,reinforcement-learning,https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36.000000,2021-04-08 14:45:11.000000,2021-04-08 14:44:07.000000,1242,80.0,71.0,9363,226.0,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,14.0,28,True,2021-02-12 20:18:33.000000,3.1.9,36.0,dopamine-rl,,,,['tensorflow'],62.0,,https://pypi.org/project/dopamine-rl,2021-03-03 22:26:11.000000,62.0,106603.0,106603.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n169,Sonnet,deepmind/sonnet,,ml-frameworks,https://github.com/deepmind/sonnet,https://github.com/deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35.000000,2021-03-15 18:24:14.000000,2021-03-15 18:23:31.000000,1266,19.0,137.0,8826,545.0,TensorFlow-based neural network library.,51.0,28,True,2020-03-27 10:36:19.000000,2.0.0,27.0,dm-sonnet,conda-forge/sonnet,,,['tensorflow'],633.0,551.0,https://pypi.org/project/dm-sonnet,2020-03-27 10:36:10.000000,82.0,52719.0,53216.0,https://anaconda.org/conda-forge/sonnet,2020-11-14 18:13:23.843000,8454.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n170,PyTorch Image Models,rwightman/pytorch-image-models,,image,https://github.com/rwightman/pytorch-image-models,https://github.com/rwightman/pytorch-image-models,Apache-2.0,2019-02-02 05:51:12.000000,2021-04-08 07:52:18.000000,2021-04-05 23:34:54.000000,1249,27.0,258.0,8532,799.0,\"PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision..\",38.0,28,True,2021-03-31 19:11:46.000000,0.1-pit-weights,19.0,,,,,['pytorch'],425.0,425.0,,,,,13281.0,,,,,,,,2.0,305467.0,,,,,,,,,,,,,,,,,,,,,\n171,AutoKeras,keras-team/autokeras,,hyperopt,https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20.000000,2021-04-06 09:14:38.000000,2021-03-18 20:17:05.000000,1281,66.0,668.0,7896,1250.0,AutoML library for deep learning.,129.0,28,True,2020-11-30 02:43:50.000000,1.0.12,46.0,autokeras,,,,['tensorflow'],169.0,162.0,https://pypi.org/project/autokeras,2020-11-30 02:43:50.000000,7.0,8436.0,8436.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n172,Pyro,pyro-ppl/pyro,,probabilistics,https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000000,2021-04-07 10:37:06.000000,2021-04-07 10:37:06.000000,826,137.0,689.0,6846,2188.0,Deep universal probabilistic programming with Python and PyTorch.,105.0,28,True,2021-03-04 23:01:34.000000,1.6.0,26.0,pyro-ppl,,,,['pytorch'],460.0,424.0,https://pypi.org/project/pyro-ppl,2021-03-04 23:05:10.000000,36.0,36271.0,36271.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n173,tensorpack,tensorpack/tensorpack,,ml-frameworks,https://github.com/tensorpack/tensorpack,https://github.com/tensorpack/tensorpack,Apache-2.0,2015-12-25 23:08:44.000000,2021-03-02 06:18:21.000000,2021-03-02 06:18:10.000000,1772,8.0,1313.0,5983,2930.0,\"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.\",55.0,28,True,2020-04-24 19:01:06.000000,0.10.1,37.0,tensorpack,,,,['tensorflow'],801.0,725.0,https://pypi.org/project/tensorpack,2021-01-22 08:44:03.000000,76.0,12336.0,12338.0,,,,,,,,2.0,116.0,,,,,,,,,,,,,,,,,,,,,\n174,faust,robinhood/faust,,data-pipelines,https://github.com/robinhood/faust,https://github.com/robinhood/faust,BSD-3-Clause,2017-03-08 18:36:11.000000,2021-01-21 01:53:26.000000,2020-10-09 12:59:42.000000,451,235.0,223.0,5447,4137.0,Python Stream Processing.,91.0,28,True,2020-02-25 22:57:18.000000,1.10.4,46.0,faust,,,,,722.0,694.0,https://pypi.org/project/faust,2020-02-25 22:57:18.000000,28.0,788228.0,788228.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n175,Bayesian Optimization,fmfn/BayesianOptimization,,hyperopt,https://github.com/fmfn/BayesianOptimization,https://github.com/fmfn/BayesianOptimization,MIT,2014-06-06 08:18:56.000000,2021-03-17 21:02:26.000000,2020-12-19 01:11:23.000000,1097,40.0,166.0,5020,199.0,A Python implementation of global optimization with gaussian processes.,27.0,28,True,2020-05-16 16:03:51.000000,1.2.0,8.0,bayesian-optimization,,,,,779.0,687.0,https://pypi.org/project/bayesian-optimization,2020-05-16 15:56:09.000000,92.0,104274.0,104275.0,,,,,,,,1.0,54.0,,,,,,,,,,,,,,,,,,,,,\n176,OpenNMT,OpenNMT/OpenNMT-py,,nlp,https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000000,2021-04-08 09:40:48.000000,2021-04-08 09:40:48.000000,1814,104.0,1141.0,4929,2550.0,Open Source Neural Machine Translation in PyTorch.,167.0,28,True,2021-01-27 09:22:31.000000,2.0.1,28.0,OpenNMT-py,,,,['pytorch'],84.0,80.0,https://pypi.org/project/OpenNMT-py,2021-01-27 09:22:31.000000,4.0,3893.0,3893.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n177,yfinance,ranaroussi/yfinance,,financial-data,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000000,2021-03-29 12:07:52.000000,2021-03-25 00:42:57.000000,1165,292.0,226.0,4731,,Yahoo! Finance market data downloader (+faster Pandas Datareader).,36.0,28,True,2021-03-25 00:43:03.000000,0.1.59,24.0,yfinance,ranaroussi/yfinance,,,,3790.0,3764.0,https://pypi.org/project/yfinance,2021-03-25 00:43:03.000000,26.0,187449.0,189556.0,https://anaconda.org/ranaroussi/yfinance,2019-12-27 21:30:44.606000,42148.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n178,GluonCV,dmlc/gluon-cv,,image,https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21.000000,2021-04-07 22:49:14.000000,2021-04-06 02:05:01.000000,1066,383.0,380.0,4657,857.0,Gluon CV Toolkit.,111.0,28,True,2021-03-28 22:53:04.000000,0.10.1,1050.0,gluoncv,,,,['mxnet'],484.0,454.0,https://pypi.org/project/gluoncv,2021-04-05 09:01:48.000000,30.0,80044.0,80044.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n179,snorkel,snorkel-team/snorkel,,data-loading,https://github.com/snorkel-team/snorkel,https://github.com/snorkel-team/snorkel,Apache-2.0,2016-02-26 05:52:45.000000,2021-03-30 07:46:34.000000,2021-03-13 23:03:14.000000,735,23.0,918.0,4545,2652.0,A system for quickly generating training data with weak supervision.,64.0,28,True,2021-03-09 21:51:40.000000,0.9.7,19.0,snorkel,conda-forge/snorkel,,,,85.0,77.0,https://pypi.org/project/snorkel,2021-03-09 21:39:08.000000,8.0,124614.0,125456.0,https://anaconda.org/conda-forge/snorkel,2021-03-16 04:08:56.469000,17411.0,,,,,3.0,668.0,,,,,,,,,,,,,,,,,,,,,\n180,csvkit,wireservice/csvkit,,data-loading,https://github.com/wireservice/csvkit,https://github.com/wireservice/csvkit,MIT,2011-04-01 03:00:30.000000,2021-04-01 14:02:02.000000,2021-03-10 22:01:27.000000,535,56.0,752.0,4534,1696.0,\"A suite of utilities for converting to and working with CSV, the king of tabular file formats.\",91.0,28,True,2020-03-03 03:00:28.000000,1.0.5,33.0,csvkit,conda-forge/csvkit,,,,1551.0,849.0,https://pypi.org/project/csvkit,2020-03-03 03:00:28.000000,702.0,51631.0,52610.0,https://anaconda.org/conda-forge/csvkit,2019-05-28 12:30:50.171000,48004.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n181,librosa,librosa/librosa,,audio,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000000,2021-04-06 13:43:27.000000,2021-04-02 14:32:48.000000,722,70.0,791.0,4400,,Python library for audio and music analysis.,84.0,28,True,2020-07-22 01:34:55.000000,0.8.0,28.0,librosa,conda-forge/librosa,,,,11980.0,10230.0,https://pypi.org/project/librosa,2020-07-22 01:34:55.000000,1750.0,558308.0,563008.0,https://anaconda.org/conda-forge/librosa,2020-07-22 10:27:18.402000,267922.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n182,DEAP,deap/deap,,distributed-ml,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39.000000,2021-04-01 13:30:26.000000,2020-12-25 17:33:18.000000,877,207.0,226.0,4152,2147.0,Distributed Evolutionary Algorithms in Python.,67.0,28,False,2020-01-21 01:18:06.000000,1.3.1,16.0,deap,conda-forge/deap,,,,2208.0,1726.0,https://pypi.org/project/deap,2020-01-21 01:18:06.000000,482.0,114524.0,116646.0,https://anaconda.org/conda-forge/deap,2021-01-13 14:43:13.393000,123110.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n183,Kornia,kornia/kornia,,image,https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000000,2021-04-08 14:07:16.000000,2021-04-07 19:51:19.000000,367,93.0,296.0,3812,1534.0,Open Source Differentiable Computer Vision Library for PyTorch.,91.0,28,True,2021-03-17 09:10:52.000000,0.5.0,13.0,kornia,,,,['pytorch'],322.0,322.0,https://pypi.org/project/kornia,2021-03-17 09:10:52.000000,0.0,31372.0,31372.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n184,imutils,jrosebr1/imutils,,image,https://github.com/jrosebr1/imutils,https://github.com/jrosebr1/imutils,MIT,2015-01-11 20:05:39.000000,2021-03-23 17:44:24.000000,2021-01-15 10:46:45.000000,891,134.0,76.0,3601,138.0,\"A series of convenience functions to make basic image processing operations such as translation, rotation, resizing,..\",20.0,28,True,2021-01-15 10:53:17.000000,0.5.4,29.0,imutils,conda-forge/imutils,,,,14614.0,13418.0,https://pypi.org/project/imutils,2021-01-15 10:53:17.000000,1196.0,199178.0,201228.0,https://anaconda.org/conda-forge/imutils,2021-01-15 14:27:25.471000,45119.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n185,Ignite,pytorch/ignite,,ml-frameworks,https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000000,2021-04-08 11:23:15.000000,2021-04-07 17:09:20.000000,437,104.0,682.0,3498,1064.0,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,133.0,28,True,2021-03-03 23:10:39.000000,0.4.4,518.0,pytorch-ignite,pytorch/ignite,,,['pytorch'],874.0,812.0,https://pypi.org/project/pytorch-ignite,2021-04-08 03:15:24.000000,62.0,48023.0,49713.0,https://anaconda.org/pytorch/ignite,2021-03-03 23:10:32.721000,57490.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n186,dyNET,clab/dynet,,ml-frameworks,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21.000000,2021-03-18 20:24:39.000000,2021-01-27 15:43:03.000000,703,259.0,661.0,3206,3267.0,DyNet: The Dynamic Neural Network Toolkit.,156.0,28,True,2020-10-21 14:31:01.000000,2.1.2,24.0,dyNET,,,,,210.0,172.0,https://pypi.org/project/dyNET,2020-10-21 14:31:01.000000,38.0,14490.0,14535.0,,,,,,,,2.0,2478.0,,,,,,,,,,,,,,,,,,,,,\n187,PyCaret,pycaret/pycaret,,ml-experiments,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000000,2021-04-08 02:09:20.000000,2021-04-04 22:32:17.000000,677,202.0,601.0,3157,1707.0,\"An open-source, low-code machine learning library in Python.\",47.0,28,True,2021-02-21 19:03:52.000000,2.3.0,69.0,pycaret,,,,,775.0,775.0,https://pypi.org/project/pycaret,2021-02-21 19:03:52.000000,0.0,49123.0,49164.0,,,,,,,,2.0,376.0,,,,,,,,,,,,,,,,,,,,,\n188,Dagster,dagster-io/dagster,,data-pipelines,https://github.com/dagster-io/dagster,https://github.com/dagster-io/dagster,Apache-2.0,2018-04-30 16:30:04.000000,2021-04-08 14:37:38.000000,2021-04-08 14:37:36.000000,327,566.0,2222.0,3093,7243.0,\"A data orchestrator for machine learning, analytics, and ETL.\",129.0,28,True,2021-04-01 22:08:28.000000,0.11.3,251.0,dagster,conda-forge/dagster,,,,158.0,154.0,https://pypi.org/project/dagster,2021-04-01 22:08:28.000000,4.0,53554.0,65112.0,https://anaconda.org/conda-forge/dagster,2021-04-04 15:43:25.939000,196497.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n189,Blaze,blaze/blaze,,data-containers,https://github.com/blaze/blaze,https://github.com/blaze/blaze,BSD-3-Clause,2012-10-26 14:25:22.000000,2020-02-01 19:33:09.000000,2019-08-15 21:14:59.000000,373,262.0,500.0,2941,7496.0,NumPy and Pandas interface to Big Data.,64.0,28,False,2016-07-19 20:40:03.000000,0.11.0,14.0,blaze,conda-forge/blaze,,,,9198.0,7576.0,https://pypi.org/project/blaze,2016-05-06 21:19:21.000000,1622.0,10300.0,14617.0,https://anaconda.org/conda-forge/blaze,2018-07-15 22:16:17.685000,189948.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n190,phonenumbers,daviddrysdale/python-phonenumbers,,nlp,https://github.com/daviddrysdale/python-phonenumbers,https://github.com/daviddrysdale/python-phonenumbers,Apache-2.0,2011-04-21 03:06:38.000000,2021-04-07 16:25:13.000000,2021-04-07 16:18:13.000000,337,3.0,118.0,2669,,Python port of Google's libphonenumber.,22.0,28,True,2021-04-07 16:25:13.000000,8.12.21,172.0,phonenumbers,conda-forge/phonenumbers,,,,2280.0,,https://pypi.org/project/phonenumbers,2021-04-07 16:25:13.000000,2280.0,1485066.0,1491950.0,https://anaconda.org/conda-forge/phonenumbers,2019-08-04 21:19:59.322000,399302.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n191,plotnine,has2k1/plotnine,,data-viz,https://github.com/has2k1/plotnine,https://github.com/has2k1/plotnine,GPL-2.0,2017-04-24 19:00:44.000000,2021-03-25 12:31:04.423000,2021-03-24 15:13:47.000000,137,61.0,364.0,2652,1686.0,A grammar of graphics for Python.,82.0,28,False,2021-03-25 12:57:10.000000,0.8.0,11.0,plotnine,conda-forge/plotnine,,,,1987.0,1733.0,https://pypi.org/project/plotnine,2021-03-25 10:49:20.000000,254.0,168484.0,170624.0,https://anaconda.org/conda-forge/plotnine,2021-03-25 12:31:04.423000,100590.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n192,datashader,holoviz/datashader,,data-viz,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000000,2021-04-05 19:34:28.000000,2021-03-12 02:36:32.000000,318,125.0,345.0,2461,1286.0,Quickly and accurately render even the largest data.,43.0,28,True,2021-03-22 15:23:27.000000,0.12.1,23.0,datashader,conda-forge/datashader,,,,707.0,637.0,https://pypi.org/project/datashader,2021-03-16 18:44:57.000000,70.0,22160.0,26122.0,https://anaconda.org/conda-forge/datashader,2021-03-19 21:41:27.398000,162482.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n193,sklearn-pandas,scikit-learn-contrib/sklearn-pandas,,data-containers,https://github.com/scikit-learn-contrib/sklearn-pandas,https://github.com/scikit-learn-contrib/sklearn-pandas,Zlib,2013-04-22 22:55:20.000000,2021-02-27 07:31:07.000000,2021-02-27 07:31:07.000000,392,31.0,120.0,2384,284.0,Pandas integration with sklearn.,37.0,28,False,2021-02-27 06:52:07.000000,2.1.0,26.0,sklearn-pandas,,,,\"['sklearn', 'pandas']\",2192.0,1970.0,https://pypi.org/project/sklearn-pandas,2021-02-27 06:52:07.000000,222.0,229677.0,229677.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n194,Keras Tuner,keras-team/keras-tuner,,hyperopt,https://github.com/keras-team/keras-tuner,https://github.com/keras-team/keras-tuner,Apache-2.0,2019-06-06 22:38:21.000000,2021-04-07 12:25:48.000000,2021-04-06 21:39:45.000000,269,145.0,154.0,2281,810.0,Hyperparameter tuning for humans.,35.0,28,True,2020-11-20 19:13:23.000000,1.0.2,5.0,keras-tuner,,,,['tensorflow'],485.0,481.0,https://pypi.org/project/keras-tuner,2020-11-20 19:00:59.000000,4.0,309652.0,309652.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n195,Cufflinks,santosjorge/cufflinks,,data-viz,https://github.com/santosjorge/cufflinks,https://github.com/santosjorge/cufflinks,MIT,2014-11-19 20:59:33.000000,2021-02-25 05:05:09.000000,2021-02-25 05:05:09.000000,535,81.0,121.0,2136,452.0,Productivity Tools for Plotly + Pandas.,38.0,28,True,2020-03-01 17:42:01.000000,0.17.3,27.0,cufflinks,,,,['pandas'],3248.0,3014.0,https://pypi.org/project/cufflinks,2020-03-01 17:42:01.000000,234.0,101560.0,101560.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n196,TF-Agents,tensorflow/agents,,reinforcement-learning,https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000000,2021-04-08 11:23:57.000000,2021-04-08 11:23:23.000000,491,118.0,326.0,1853,1680.0,\"TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.\",88.0,28,True,2021-01-05 18:41:58.000000,0.7.1,18.0,tf-agents,,,,['tensorflow'],432.0,420.0,https://pypi.org/project/tf-agents,2021-01-05 18:41:58.000000,12.0,15878.0,15878.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n197,Flax,google/flax,,ml-frameworks,https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000000,2021-04-08 14:07:12.000000,2021-04-07 13:33:08.000000,190,146.0,185.0,1592,1849.0,Flax is a neural network ecosystem for JAX that is designed for flexibility.,81.0,28,True,2021-03-31 14:19:21.000000,0.3.3,12.0,flax,,,,['jax'],134.0,128.0,https://pypi.org/project/flax,2021-03-31 14:19:21.000000,6.0,93194.0,93195.0,,,,,,,,2.0,23.0,,,,,,,,,,,,,,,,,,,,,\n198,Cartopy,mapbox/rasterio,,geospatial-data,https://github.com/mapbox/rasterio,https://github.com/mapbox/rasterio,LGPL-3.0,2013-11-04 16:36:27.000000,2021-04-07 15:37:09.000000,2021-04-07 13:47:06.000000,399,139.0,1232.0,1469,3299.0,Rasterio reads and writes geospatial raster datasets.,107.0,28,False,2020-05-04 03:02:47.000000,0.18.0,20.0,Cartopy,conda-forge/cartopy,,,,3327.0,2981.0,https://pypi.org/project/Cartopy,2021-03-12 15:15:57.000000,346.0,48109.0,72279.0,https://anaconda.org/conda-forge/cartopy,2021-03-04 22:18:05.063000,1473818.0,,,,,3.0,704.0,,,,,,,,,,,,,,,,,,,,,\n199,igraph,igraph/python-igraph,,graph,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16.000000,2021-03-30 08:49:54.000000,2021-03-30 08:49:46.000000,185,23.0,274.0,804,1672.0,Python interface for igraph.,50.0,28,False,2021-03-26 10:08:11.000000,0.9.1,20.0,python-igraph,conda-forge/igraph,,,,1984.0,1560.0,https://pypi.org/project/python-igraph,2021-03-26 10:09:48.000000,424.0,93189.0,99335.0,https://anaconda.org/conda-forge/igraph,2021-03-29 19:35:25.048000,210010.0,,,,,1.0,105524.0,,,,,,,,,,,,,,,,,,,,,\n200,geojson,jazzband/geojson,,geospatial-data,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48.000000,2021-03-21 16:52:10.000000,2021-03-21 16:52:09.000000,85,20.0,52.0,614,448.0,Python bindings and utilities for GeoJSON.,44.0,28,True,2019-08-09 20:32:15.000000,2.5.0,28.0,geojson,conda-forge/geojson,,,,8075.0,6241.0,https://pypi.org/project/geojson,2019-08-09 20:32:15.000000,1834.0,706571.0,712919.0,https://anaconda.org/conda-forge/geojson,2019-08-11 12:10:34.426000,387276.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n201,DIPY,dipy/dipy,,medical-data,https://github.com/dipy/dipy,https://github.com/dipy/dipy,BSD-3-Clause,2010-02-06 11:43:08.000000,2021-04-08 06:18:48.000000,2021-04-06 22:37:51.000000,313,156.0,599.0,422,11464.0,\"DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal..\",118.0,28,True,2020-11-05 17:35:53.000000,1.3.0,22.0,dipy,conda-forge/dipy,,,,442.0,348.0,https://pypi.org/project/dipy,2021-03-14 14:05:15.000000,94.0,14112.0,17559.0,https://anaconda.org/conda-forge/dipy,2021-03-14 18:36:59.155000,203388.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n202,Cython BLIS,explosion/cython-blis,,others,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16.000000,2021-03-15 19:42:45.000000,2021-03-15 19:42:37.000000,24,6.0,16.0,165,526.0,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,9.0,28,True,2020-12-07 08:56:44.000000,0.7.4,35.0,blis,conda-forge/cython-blis,,,,9768.0,9378.0,https://pypi.org/project/blis,2020-12-07 08:56:44.000000,390.0,1646405.0,1666656.0,https://anaconda.org/conda-forge/cython-blis,2021-01-31 09:13:47.685000,506299.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n203,Streamlit,streamlit/streamlit,,others,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000000,2021-04-08 11:37:43.000000,2021-04-07 22:53:48.000000,1200,497.0,1167.0,14085,,Streamlit The fastest way to build data apps in Python.,97.0,27,True,2021-03-18 01:21:33.000000,0.79.0,126.0,streamlit,,,,,108.0,74.0,https://pypi.org/project/streamlit,2021-03-04 22:36:06.000000,34.0,236839.0,236839.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n204,baselines,openai/baselines,,reinforcement-learning,https://github.com/openai/baselines,https://github.com/openai/baselines,MIT,2017-05-24 01:58:13.000000,2021-02-21 12:16:56.000000,2020-01-31 13:06:18.000000,3915,454.0,426.0,11347,347.0,OpenAI Baselines: high-quality implementations of reinforcement learning algorithms.,114.0,27,False,2018-02-26 17:07:07.000000,0.1.5,6.0,baselines,,,,,370.0,296.0,https://pypi.org/project/baselines,2018-02-26 17:07:07.000000,74.0,2810.0,2810.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n205,EasyOCR,JaidedAI/EasyOCR,,ocr,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000000,2021-04-05 16:54:56.000000,2021-04-05 16:54:00.000000,1201,118.0,180.0,11154,397.0,\"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..\",77.0,27,True,2021-03-21 09:44:54.000000,1.3,21.0,easyocr,,,,,180.0,180.0,https://pypi.org/project/easyocr,2021-03-21 10:29:27.000000,0.0,14663.0,37883.0,,,,,,,,1.0,232209.0,,,,,,,,,,,,,,,,,,,,,\n206,NNI,microsoft/nni,,hyperopt,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44.000000,2021-04-08 09:00:34.000000,2021-04-07 11:30:02.000000,1269,286.0,925.0,9426,2014.0,\"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..\",126.0,27,True,2021-03-10 12:14:49.000000,2.1,39.0,nni,,,,,114.0,98.0,https://pypi.org/project/nni,2021-03-10 11:53:09.000000,16.0,3200.0,3200.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n207,pretrainedmodels,Cadene/pretrained-models.pytorch,,pytorch-utils,https://github.com/Cadene/pretrained-models.pytorch,https://github.com/Cadene/pretrained-models.pytorch,BSD-3-Clause,2017-04-09 15:54:23.000000,2020-06-08 16:06:59.000000,2020-04-16 08:02:22.000000,1655,88.0,88.0,7860,154.0,\"Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.\",22.0,27,True,2018-10-29 08:18:45.000000,0.7.4,16.0,pretrainedmodels,,,,['pytorch'],1054.0,950.0,https://pypi.org/project/pretrainedmodels,2018-10-29 08:18:45.000000,104.0,41281.0,41281.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n208,dgl,dmlc/dgl,,graph,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000000,2021-04-08 12:41:35.000000,2021-04-08 08:29:33.000000,1446,248.0,772.0,7030,1651.0,\"Python package built to ease deep learning on graph, on top of existing DL frameworks.\",120.0,27,True,2021-04-08 03:22:48.000000,0.6.1,406.0,dgl,,,,,30.0,,https://pypi.org/project/dgl,2021-04-08 09:49:07.000000,30.0,33157.0,33157.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n209,TensorLayer,tensorlayer/tensorlayer,,reinforcement-learning,https://github.com/tensorlayer/tensorlayer,https://github.com/tensorlayer/tensorlayer,Apache-2.0,2016-06-07 15:55:16.000000,2021-03-17 01:32:06.000000,2021-03-17 01:32:00.000000,1473,20.0,433.0,6548,3346.0,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,131.0,27,True,2021-01-06 07:16:21.000000,2.2.4,82.0,tensorlayer,,,,['tensorflow'],68.0,,https://pypi.org/project/tensorlayer,2020-06-19 00:53:37.000000,68.0,3439.0,3461.0,,,,,,,,2.0,1257.0,,,,,,,,,,,,,,,,,,,,,\n210,imageai,OlafenwaMoses/ImageAI,,image,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33.000000,2021-03-19 01:20:17.000000,2021-01-05 01:31:12.000000,1691,201.0,411.0,6046,290.0,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,13.0,27,True,2021-01-05 01:26:01.000000,2.1.6,10.0,imageai,,,,,794.0,770.0,https://pypi.org/project/imageai,2021-01-05 01:26:01.000000,24.0,8999.0,24615.0,,,,,,,,2.0,562191.0,,,,,,,,,,,,,,,,,,,,,\n211,tsfresh,blue-yonder/tsfresh,,time-series-data,https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17.000000,2021-04-01 22:52:29.000000,2021-04-01 22:52:29.000000,869,41.0,417.0,5539,398.0,Automatic extraction of relevant features from time series:.,75.0,27,True,2021-03-06 08:49:53.000000,0.18.0,26.0,tsfresh,conda-forge/tsfresh,,,['sklearn'],66.0,,https://pypi.org/project/tsfresh,2020-09-09 21:08:22.000000,66.0,249638.0,250411.0,https://anaconda.org/conda-forge/tsfresh,2021-03-07 06:57:04.012000,31722.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n212,auto-sklearn,automl/auto-sklearn,,hyperopt,https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10.000000,2021-04-08 11:50:35.000000,2021-03-25 12:04:13.000000,995,108.0,601.0,5337,2440.0,Automated Machine Learning with scikit-learn.,64.0,27,True,2021-03-29 11:39:25.000000,0.12.5,30.0,auto-sklearn,,,,['sklearn'],173.0,143.0,https://pypi.org/project/auto-sklearn,2021-03-25 19:32:06.000000,30.0,14642.0,14642.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n213,DeepPavlov,deepmipt/DeepPavlov,,nlp,https://github.com/deepmipt/DeepPavlov,https://github.com/deepmipt/DeepPavlov,Apache-2.0,2017-11-17 14:35:29.000000,2021-04-07 12:39:46.000000,2021-04-03 15:53:30.000000,933,118.0,457.0,5123,2581.0,An open source library for deep learning end-to-end dialog systems and chatbots.,61.0,27,True,2021-04-03 16:00:08.000000,0.14.1,42.0,deeppavlov,,,,['tensorflow'],190.0,182.0,https://pypi.org/project/deeppavlov,2021-04-03 16:00:08.000000,8.0,12132.0,12132.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n214,CleverHans,cleverhans-lab/cleverhans,,adversarial,https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04.000000,2021-04-02 06:16:51.000000,2021-03-31 02:50:27.000000,1250,23.0,415.0,5048,3189.0,\"An adversarial example library for constructing attacks, building defenses, and benchmarking both.\",122.0,27,True,2021-02-01 06:35:42.000000,3.1.0,7.0,cleverhans,,,,['tensorflow'],218.0,202.0,https://pypi.org/project/cleverhans,2018-11-27 17:36:15.000000,16.0,834.0,834.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n215,Datasette,simonw/datasette,,others,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000000,2021-04-03 13:26:21.000000,2021-04-03 03:42:28.000000,273,251.0,780.0,4957,1611.0,An open source multi-tool for exploring and publishing data.,49.0,27,True,2021-03-29 00:43:36.000000,0.56,92.0,datasette,,,,,470.0,400.0,https://pypi.org/project/datasette,2021-03-29 00:49:36.000000,70.0,15226.0,15226.0,,,,,,,,2.0,29.0,,,,,,,,,datasette,,,,,,,,,,,,\n216,PDFMiner,euske/pdfminer,,data-loading,https://github.com/euske/pdfminer,https://github.com/euske/pdfminer,MIT,2010-12-12 12:50:22.000000,2021-02-16 14:43:27.000000,2020-01-18 07:00:32.000000,1043,226.0,40.0,4548,540.0,Python PDF Parser (Not actively maintained). Check out pdfminer.six.,28.0,27,False,,,24.0,pdfminer,conda-forge/pdfminer,,,,3619.0,2153.0,https://pypi.org/project/pdfminer,2019-11-25 12:02:21.000000,1466.0,183510.0,183783.0,https://anaconda.org/conda-forge/pdfminer,2021-02-15 15:07:18.804000,15335.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n217,Tokenizers,huggingface/tokenizers,,nlp,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000000,2021-04-06 20:57:28.000000,2021-04-05 20:47:55.000000,330,96.0,319.0,4426,1451.0,Fast State-of-the-Art Tokenizers optimized for Research and Production.,40.0,27,True,2021-04-05 20:48:25.000000,python-v0.10.2,61.0,tokenizers,conda-forge/tokenizers,,,,28.0,28.0,https://pypi.org/project/tokenizers,2021-04-05 21:14:02.000000,0.0,1856691.0,1861256.0,https://anaconda.org/conda-forge/tokenizers,2021-03-10 20:31:28.913000,41093.0,,,,,2.0,,-1.0,,,,,,,,,,,,,,,,,,,,\n218,OCRmyPDF,jbarlow83/OCRmyPDF,,ocr,https://github.com/jbarlow83/OCRmyPDF,https://github.com/jbarlow83/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000000,2021-04-08 08:53:42.000000,2021-04-08 08:51:44.000000,436,97.0,592.0,4076,2919.0,\"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.\",53.0,27,True,2021-03-21 19:53:48.000000,11.7.3,165.0,ocrmypdf,,,,,148.0,136.0,https://pypi.org/project/ocrmypdf,2021-03-21 19:53:48.000000,12.0,18734.0,18734.0,,,,,,,,1.0,,,,,,,,,,ocrmypdf,ocrmypdf,,,,,,,,,,,\n219,skorch,skorch-dev/skorch,,ml-frameworks,https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000000,2021-04-05 11:15:11.000000,2021-03-26 14:17:39.000000,283,43.0,328.0,3893,949.0,A scikit-learn compatible neural network library that wraps PyTorch.,39.0,27,True,2021-03-23 15:34:51.000000,0.10.0,13.0,skorch,conda-forge/skorch,,,\"['pytorch', 'sklearn']\",319.0,293.0,https://pypi.org/project/skorch,2021-03-23 15:32:29.000000,26.0,12319.0,19853.0,https://anaconda.org/conda-forge/skorch,2021-03-24 00:24:03.810000,233564.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n220,pyfolio,quantopian/pyfolio,,financial-data,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39.000000,2021-04-04 14:32:26.000000,2020-07-15 13:46:58.000000,1152,129.0,264.0,3659,1184.0,Portfolio and risk analytics in Python.,55.0,27,True,2019-04-15 15:00:21.000000,0.9.2,22.0,pyfolio,conda-forge/pyfolio,,,,279.0,225.0,https://pypi.org/project/pyfolio,2019-04-15 15:00:21.000000,54.0,6046.0,6204.0,https://anaconda.org/conda-forge/pyfolio,2020-05-16 14:11:57.267000,6019.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n221,InterpretML,interpretml/interpret,,interpretability,https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000000,2021-04-06 23:53:45.000000,2021-04-06 21:28:51.000000,442,63.0,122.0,3636,1488.0,Fit interpretable models. Explain blackbox machine learning.,23.0,27,True,2021-01-20 02:12:33.000000,0.2.4,34.0,interpret,,,,['jupyter'],72.0,70.0,https://pypi.org/project/interpret,2021-01-20 02:10:35.000000,2.0,33179.0,33179.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n222,lightfm,lyst/lightfm,,recommender-systems,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00.000000,2021-03-25 21:33:37.000000,2021-02-07 21:16:06.000000,584,79.0,339.0,3550,428.0,\"A Python implementation of LightFM, a hybrid recommendation algorithm.\",44.0,27,True,2020-11-27 19:48:30.000000,1.16,14.0,lightfm,conda-forge/lightfm,,,,480.0,424.0,https://pypi.org/project/lightfm,2020-11-27 19:55:08.000000,56.0,136411.0,138584.0,https://anaconda.org/conda-forge/lightfm,2021-02-07 22:19:58.097000,84760.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n223,Perspective,finos/perspective,,data-viz,https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000000,2021-04-07 16:02:52.000000,2021-04-06 05:34:41.000000,351,78.0,328.0,3308,4379.0,Streaming pivot visualization via WebAssembly.,62.0,27,True,2021-02-24 14:38:08.000000,0.6.1,40.0,perspective-python,,,,['jupyter'],191.0,183.0,https://pypi.org/project/perspective-python,2021-02-24 14:38:08.000000,8.0,1346.0,3181.0,,,,,,,,2.0,,,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2021-02-12 04:20:19.050000,,1835.0,,,,,,,,,,,,,,\n224,Alpha Vantage,RomelTorres/alpha_vantage,,financial-data,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00.000000,2021-02-17 12:42:04.000000,2020-12-21 19:51:57.000000,586,14.0,222.0,3262,497.0,A python wrapper for Alpha Vantage API for financial data.,36.0,27,True,2020-12-21 02:37:29.000000,2.3.1,28.0,alpha_vantage,,,,,202.0,,https://pypi.org/project/alpha_vantage,2018-08-26 18:55:11.000000,202.0,33397.0,33397.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n225,Jina,jina-ai/jina,,ml-frameworks,https://github.com/jina-ai/jina,https://github.com/jina-ai/jina,Apache-2.0,2020-02-13 17:04:44.000000,2021-04-08 12:42:02.000000,2021-04-08 12:42:01.000000,414,77.0,669.0,2935,5137.0,An easier way to build neural search on the cloud.,91.0,27,True,2021-04-04 23:05:02.000000,1.1.2,549.0,jina,,jinaai/jina,,,57.0,57.0,https://pypi.org/project/jina,2021-04-07 06:18:20.000000,,12222.0,27912.0,,,,https://hub.docker.com/r/jinaai/jina,2021-04-07 10:25:07.042681,1.0,219670.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n226,ftfy,LuminosoInsight/python-ftfy,,nlp,https://github.com/LuminosoInsight/python-ftfy,https://github.com/LuminosoInsight/python-ftfy,MIT,2012-08-24 16:14:59.000000,2021-04-07 17:10:12.000000,2021-02-11 19:54:35.000000,101,11.0,99.0,2922,524.0,\"Fixes mojibake and other glitches in Unicode text, after the fact.\",17.0,27,True,2020-02-18 16:42:00.000000,5.6.1,42.0,ftfy,conda-forge/ftfy,,,,3783.0,3023.0,https://pypi.org/project/ftfy,2021-02-11 19:55:25.000000,760.0,653783.0,655832.0,https://anaconda.org/conda-forge/ftfy,2021-01-20 08:08:09.562000,98393.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n227,pomegranate,jmschrei/pomegranate,,probabilistics,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000000,2021-03-29 16:51:20.000000,2021-03-29 16:50:31.000000,481,44.0,555.0,2640,891.0,\"Fast, flexible and easy to use probabilistic modelling in Python.\",62.0,27,True,2021-03-19 08:09:51.000000,0.14.3,65.0,pomegranate,conda-forge/pomegranate,,,,479.0,423.0,https://pypi.org/project/pomegranate,2021-03-29 16:51:20.000000,56.0,44631.0,47114.0,https://anaconda.org/conda-forge/pomegranate,2020-11-01 16:22:04.857000,52153.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n228,Catalyst,catalyst-team/catalyst,,ml-experiments,https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13.000000,2021-04-08 07:56:17.000000,2021-04-08 05:43:00.000000,304,11.0,281.0,2515,1499.0,Accelerated deep learning R&D.,84.0,27,True,2021-03-29 06:20:55.000000,21.03.2,91.0,catalyst,,,,['pytorch'],364.0,326.0,https://pypi.org/project/catalyst,2021-03-29 06:20:04.000000,38.0,12290.0,12290.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n229,pygal,Kozea/pygal,,graph,https://github.com/Kozea/pygal,https://github.com/Kozea/pygal,LGPL-3.0,2011-09-23 10:17:50.000000,2021-03-18 13:12:51.000000,2021-03-18 13:12:51.000000,380,164.0,240.0,2336,1014.0,PYthon svg GrAph plotting Library.,70.0,27,False,2017-07-05 09:22:41.000000,2.4.0,74.0,pygal,conda-forge/pygal,,,,1152.0,,https://pypi.org/project/pygal,2020-10-14 13:06:35.000000,1152.0,101608.0,101883.0,https://anaconda.org/conda-forge/pygal,2019-06-04 02:55:56.728000,6052.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n230,implicit,benfred/implicit,,recommender-systems,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000000,2021-03-18 15:42:47.000000,2021-03-13 19:39:55.000000,490,84.0,260.0,2312,304.0,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,29.0,27,True,2020-09-15 22:01:38.000000,0.4.4,34.0,implicit,conda-forge/implicit,,,,434.0,390.0,https://pypi.org/project/implicit,2020-09-15 22:01:38.000000,44.0,80694.0,86376.0,https://anaconda.org/conda-forge/implicit,2020-11-24 06:44:37.378000,221619.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n231,ta,bukosabino/ta,,financial-data,https://github.com/bukosabino/ta,https://github.com/bukosabino/ta,MIT,2018-01-02 18:08:48.000000,2021-04-03 06:54:32.000000,2020-11-29 21:08:14.000000,495,72.0,85.0,2006,582.0,Technical Analysis Library using Pandas and Numpy.,23.0,27,True,2020-11-29 10:49:09.000000,0.7.0,49.0,ta,,,,,499.0,487.0,https://pypi.org/project/ta,2020-11-29 10:49:09.000000,12.0,56799.0,56799.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n232,BoTorch,pytorch/botorch,,hyperopt,https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000000,2021-04-08 10:48:43.000000,2021-04-06 17:16:29.000000,196,43.0,135.0,1905,877.0,Bayesian optimization in PyTorch.,53.0,27,True,2021-02-23 21:33:59.000000,0.4.0,16.0,botorch,,,,['pytorch'],106.0,106.0,https://pypi.org/project/botorch,2020-12-08 06:47:25.000000,0.0,61701.0,61701.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n233,Foolbox,bethgelab/foolbox,,adversarial,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48.000000,2021-03-19 11:37:39.000000,2021-03-19 11:36:39.000000,337,54.0,264.0,1848,1645.0,\"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.\",31.0,27,True,2021-02-23 07:09:34.000000,3.3.1,68.0,foolbox,,,,,201.0,183.0,https://pypi.org/project/foolbox,2021-02-23 07:07:53.000000,18.0,3360.0,3360.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n234,PyFunctional,EntilZha/PyFunctional,,data-pipelines,https://github.com/EntilZha/PyFunctional,https://github.com/EntilZha/PyFunctional,MIT,2015-02-05 17:17:51.000000,2021-03-03 14:08:08.000000,2021-03-03 14:08:00.000000,99,3.0,116.0,1830,517.0,Python library for creating data pipelines with chain functional programming.,23.0,27,True,2021-01-12 19:21:07.000000,1.4.3,14.0,pyfunctional,,,,,273.0,273.0,https://pypi.org/project/pyfunctional,2021-01-12 19:14:48.000000,0.0,72636.0,72636.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n235,langid,saffsd/langid.py,,nlp,https://github.com/saffsd/langid.py,https://github.com/saffsd/langid.py,BSD-3-Clause,2011-04-29 00:16:56.000000,2020-01-01 10:49:30.000000,2017-07-15 02:49:17.000000,265,25.0,45.0,1770,242.0,Stand-alone language identification system.,9.0,27,False,2016-04-05 22:34:15.000000,1.1.6,8.0,langid,,,,,902.0,652.0,https://pypi.org/project/langid,2016-04-05 22:34:15.000000,250.0,650559.0,650559.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n236,filterpy,rlabbe/filterpy,,probabilistics,https://github.com/rlabbe/filterpy,https://github.com/rlabbe/filterpy,MIT,2014-07-15 02:15:19.000000,2021-03-02 14:46:47.000000,2021-02-08 17:55:48.000000,414,25.0,150.0,1759,536.0,\"Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman..\",33.0,27,True,2018-10-10 22:38:24.000000,1.4.5,48.0,filterpy,conda-forge/filterpy,,,,990.0,778.0,https://pypi.org/project/filterpy,2018-10-10 22:38:24.000000,212.0,42284.0,43569.0,https://anaconda.org/conda-forge/filterpy,2020-05-05 21:13:59.073000,59141.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n237,textacy,chartbeat-labs/textacy,,nlp,https://github.com/chartbeat-labs/textacy,https://github.com/chartbeat-labs/textacy,Apache-2.0,2016-02-03 16:52:45.000000,2021-04-08 03:39:46.000000,2021-01-09 19:21:48.000000,225,37.0,194.0,1636,1332.0,\"NLP, before and after spaCy.\",29.0,27,True,2020-08-29 20:51:28.000000,0.10.1,29.0,textacy,conda-forge/textacy,,,,154.0,,https://pypi.org/project/textacy,2020-08-29 20:51:28.000000,154.0,95497.0,97243.0,https://anaconda.org/conda-forge/textacy,2020-11-19 15:32:56.211000,82105.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n238,MNE,mne-tools/mne-python,,medical-data,https://github.com/mne-tools/mne-python,https://github.com/mne-tools/mne-python,BSD-3-Clause,2011-01-28 03:31:13.000000,2021-04-08 14:14:13.000000,2021-04-07 22:01:40.000000,904,333.0,3275.0,1560,,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,257.0,27,True,2021-04-02 17:25:09.000000,0.22.1,51.0,mne,conda-forge/mne,,,,1097.0,899.0,https://pypi.org/project/mne,2021-04-02 17:25:09.000000,198.0,35673.0,38097.0,https://anaconda.org/conda-forge/mne,2021-04-02 19:31:24.897000,121249.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n239,datasketch,ekzhu/datasketch,,data-containers,https://github.com/ekzhu/datasketch,https://github.com/ekzhu/datasketch,MIT,2015-03-20 01:21:46.000000,2021-02-24 19:51:10.000000,2021-02-24 19:46:37.000000,207,20.0,92.0,1457,194.0,\"MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble.\",17.0,27,True,2020-12-23 21:01:43.000000,1.5.3,75.0,datasketch,,,,,354.0,268.0,https://pypi.org/project/datasketch,2020-12-23 21:01:43.000000,86.0,215635.0,215635.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,,,,\n240,GPflow,GPflow/GPflow,,probabilistics,https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000000,2021-04-08 12:48:49.000000,2021-04-08 12:46:26.000000,389,86.0,606.0,1417,2203.0,Gaussian processes in TensorFlow.,70.0,27,True,2020-12-01 13:12:15.000000,2.1.4,28.0,gpflow,conda-forge/gpflow,,,['tensorflow'],271.0,237.0,https://pypi.org/project/gpflow,2020-12-01 13:12:15.000000,34.0,5059.0,5304.0,https://anaconda.org/conda-forge/gpflow,2018-11-06 08:51:39.744000,8586.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n241,Model Analysis,tensorflow/model-analysis,,interpretability,https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000000,2021-04-06 02:00:52.000000,2021-04-06 02:00:46.000000,212,26.0,37.0,1049,942.0,Model analysis tools for TensorFlow.,34.0,27,True,2021-03-24 22:30:29.000000,0.29.0,36.0,tensorflow-model-analysis,,,,\"['tensorflow', 'jupyter']\",20.0,,https://pypi.org/project/tensorflow-model-analysis,2021-03-24 22:30:29.000000,20.0,7804315.0,7804315.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n242,agate,wireservice/agate,,others,https://github.com/wireservice/agate,https://github.com/wireservice/agate,MIT,2014-04-25 13:59:09.000000,2021-03-10 22:20:57.000000,2021-03-10 22:04:12.000000,133,54.0,588.0,1036,1356.0,A Python data analysis library that is optimized for humans instead of machines.,47.0,27,True,2018-03-11 14:37:30.000000,1.6.1,24.0,agate,conda-forge/agate,,,,776.0,534.0,https://pypi.org/project/agate,2018-03-11 14:37:30.000000,242.0,499340.0,500581.0,https://anaconda.org/conda-forge/agate,2018-08-19 06:02:58.597000,62097.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n243,Mesh,tensorflow/mesh,,distributed-ml,https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34.000000,2021-04-01 18:23:01.000000,2021-04-01 18:22:54.000000,163,79.0,13.0,967,598.0,Mesh TensorFlow: Model Parallelism Made Easier.,40.0,27,True,2021-03-24 19:03:46.000000,0.1.19,25.0,mesh-tensorflow,,,,['tensorflow'],568.0,512.0,https://pypi.org/project/mesh-tensorflow,2021-03-24 19:03:46.000000,56.0,87417.0,87417.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n244,petl,petl-developers/petl,,data-pipelines,https://github.com/petl-developers/petl,https://github.com/petl-developers/petl,MIT,2011-08-19 09:51:03.000000,2021-04-05 21:49:41.242000,2021-03-27 02:58:36.000000,153,68.0,345.0,868,1143.0,Python Extract Transform and Load Tables of Data.,45.0,27,True,2021-03-27 03:06:14.000000,1.7.4,79.0,petl,conda-forge/petl,,http://petl.readthedocs.org,,472.0,358.0,https://pypi.org/project/petl,2021-03-27 03:06:14.000000,114.0,34479.0,34887.0,https://anaconda.org/conda-forge/petl,2021-04-05 21:49:41.242000,22450.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n245,pmdarima,alkaline-ml/pmdarima,,time-series-data,https://github.com/alkaline-ml/pmdarima,https://github.com/alkaline-ml/pmdarima,MIT,2017-03-30 14:58:30.000000,2021-02-24 12:56:43.000000,2021-02-24 12:47:29.000000,159,18.0,212.0,859,1026.0,\"A statistical library designed to fill the void in Python's time series analysis capabilities, including the..\",17.0,27,True,2020-12-02 23:17:04.000000,1.8.0,28.0,pmdarima,,,,,872.0,860.0,https://pypi.org/project/pmdarima,2020-12-02 23:17:04.000000,12.0,406623.0,406623.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n246,PyVista,pyvista/pyvista,,data-viz,https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000000,2021-04-08 06:08:32.000000,2021-04-08 06:08:32.000000,149,135.0,300.0,761,2165.0,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,56.0,27,True,2021-03-09 20:06:56.000000,0.29.0,39.0,pyvista,conda-forge/pyvista,,,['jupyter'],313.0,287.0,https://pypi.org/project/pyvista,2021-03-09 20:06:56.000000,26.0,24300.0,27559.0,https://anaconda.org/conda-forge/pyvista,2021-03-10 05:02:13.450000,74952.0,,,,,2.0,68.0,,,,,,,,,,,,,,,,,,,,,\n247,patsy,pydata/patsy,,probabilistics,https://github.com/pydata/patsy,https://github.com/pydata/patsy,BSD-2-Clause,2012-07-10 12:30:06.000000,2020-09-09 13:00:29.000000,2018-10-31 21:55:48.000000,85,78.0,52.0,743,517.0,Describing statistical models in Python using symbolic formulas.,13.0,27,False,2018-10-28 05:07:55.000000,0.5.1,8.0,patsy,conda-forge/patsy,,,,37212.0,32288.0,https://pypi.org/project/patsy,2018-10-28 03:59:51.000000,4924.0,2705670.0,2756312.0,https://anaconda.org/conda-forge/patsy,2018-10-28 05:21:35.412000,2835975.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n248,zarr,zarr-developers/zarr-python,,data-containers,https://github.com/zarr-developers/zarr-python,https://github.com/zarr-developers/zarr-python,MIT,2015-12-15 14:49:40.000000,2021-04-08 08:23:08.000000,2021-03-09 17:50:32.000000,110,184.0,232.0,669,1389.0,\"An implementation of chunked, compressed, N-dimensional arrays for Python.\",37.0,27,True,2020-12-02 18:33:13.000000,2.6.1,31.0,zarr,conda-forge/zarr,,,,697.0,625.0,https://pypi.org/project/zarr,2020-12-02 18:33:13.000000,72.0,85454.0,96830.0,https://anaconda.org/conda-forge/zarr,2021-03-25 16:00:52.673000,671195.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n249,data-validation,tensorflow/data-validation,,data-viz,https://github.com/tensorflow/data-validation,https://github.com/tensorflow/data-validation,Apache-2.0,2018-07-02 15:47:02.000000,2021-04-07 17:12:04.000000,2021-04-07 17:12:00.000000,95,37.0,82.0,535,601.0,Library for exploring and validating machine learning data.,20.0,27,True,2021-03-24 21:31:52.000000,0.29.0,26.0,tensorflow-data-validation,,,,\"['tensorflow', 'jupyter']\",268.0,250.0,https://pypi.org/project/tensorflow-data-validation,2021-03-24 21:31:52.000000,18.0,8490828.0,8490834.0,,,,,,,,2.0,208.0,,,,,,,,,,,,,,,,,,,,,\n250,TensorFlow I/O,tensorflow/io,,tensorflow-utils,https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05.000000,2021-04-06 16:54:27.000000,2021-04-06 16:44:42.000000,154,119.0,280.0,437,1391.0,\"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.\",73.0,27,True,2020-12-15 00:45:37.000000,0.17.0,21.0,tensorflow-io,,,,['tensorflow'],144.0,144.0,https://pypi.org/project/tensorflow-io,2020-12-15 00:42:35.000000,0.0,119602.0,119602.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n251,audioread,beetbox/audioread,,audio,https://github.com/beetbox/audioread,https://github.com/beetbox/audioread,MIT,2011-11-08 19:53:18.000000,2021-03-16 02:44:53.632000,2020-10-20 11:22:05.000000,83,31.0,44.0,360,232.0,cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python.,20.0,27,True,2020-10-20 11:23:09.000000,2.1.9,25.0,audioread,conda-forge/audioread,,,,5156.0,4570.0,https://pypi.org/project/audioread,2020-10-20 11:23:09.000000,586.0,564762.0,568575.0,https://anaconda.org/conda-forge/audioread,2021-03-16 02:44:53.632000,217383.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n252,CNTK,microsoft/CNTK,,ml-frameworks,https://github.com/microsoft/CNTK,https://github.com/microsoft/CNTK,MIT,2015-11-26 09:52:06.000000,2020-12-09 22:21:57.000000,2020-03-31 15:55:14.000000,4409,836.0,2520.0,16983,16116.0,\"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.\",266.0,26,False,2019-04-26 14:13:32.000000,2.7,32.0,cntk,,,,,34.0,,https://pypi.org/project/cntk,2020-12-09 22:21:57.000000,34.0,2054.0,2270.0,,,,,,,,3.0,13647.0,,,,,,,,,,,,,,,,,,,,,\n253,DeepSpeech,mozilla/DeepSpeech,,audio,https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53.000000,2021-03-31 15:32:56.000000,,3125,103.0,,16951,,\"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..\",93.0,26,True,2020-12-10 17:22:09.000000,0.9.3,100.0,deepspeech,,,,['tensorflow'],58.0,,https://pypi.org/project/deepspeech,2020-12-19 10:05:12.000000,58.0,25128.0,25128.0,,,,,,,,2.0,,-5.0,,,,,,,,,,,,,,,,,,,,\n254,InsightFace,deepinsight/insightface,,image,https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,MIT,2017-09-01 00:36:51.000000,2021-04-04 01:13:29.000000,2021-03-30 11:06:51.000000,3036,725.0,692.0,8893,1505.0,Face Analysis Project on MXNet and PyTorch.,17.0,26,True,2019-09-07 13:47:11.000000,0.1.5,6.0,insightface,,,,['mxnet'],61.0,59.0,https://pypi.org/project/insightface,2019-09-07 13:47:11.000000,2.0,2566.0,2566.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n255,Ludwig,ludwig-ai/ludwig,,ml-frameworks,https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000000,2021-04-06 01:05:41.000000,2021-04-05 03:14:18.000000,887,116.0,422.0,7637,2087.0,Ludwig is a toolbox that allows to train and evaluate deep learning models without the need to write code.,90.0,26,True,2021-02-01 00:23:30.000000,0.3.3,17.0,ludwig,,,,['tensorflow'],93.0,81.0,https://pypi.org/project/ludwig,2021-02-01 00:16:18.000000,12.0,2010.0,2010.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n256,ParlAI,facebookresearch/ParlAI,,nlp,https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44.000000,2021-04-08 13:44:33.000000,2021-04-06 20:18:31.000000,1475,98.0,874.0,7107,3694.0,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,146.0,26,True,2021-03-17 18:35:13.000000,1.1.1,14.0,parlai,,,,['pytorch'],18.0,18.0,https://pypi.org/project/parlai,2021-03-01 21:11:23.000000,0.0,2297.0,2297.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n257,PySyft,OpenMined/PySyft,,privacy-ml,https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,Apache-2.0,2017-07-18 20:41:16.000000,2021-04-08 15:03:43.000000,2021-04-08 15:03:43.000000,1574,237.0,2588.0,7038,7791.0,A library for answering questions using data you cannot see.,364.0,26,True,2020-11-12 19:57:58.000000,0.3.0,50.0,syft,,,,['pytorch'],6.0,,https://pypi.org/project/syft,2021-04-01 11:31:12.000000,6.0,2877.0,2877.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n258,Facets Overview,pair-code/facets,,data-viz,https://github.com/PAIR-code/facets,https://github.com/PAIR-code/facets,Apache-2.0,2017-07-07 14:03:03.000000,2021-02-04 17:22:42.000000,2021-02-04 17:22:41.000000,834,76.0,76.0,6541,262.0,Visualizations for machine learning datasets.,28.0,26,True,2019-07-24 15:57:06.000000,1.0.0,4.0,facets-overview,,,,['jupyter'],47.0,41.0,https://pypi.org/project/facets-overview,2019-07-24 15:57:06.000000,6.0,124960.0,124960.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n259,PyText,facebookresearch/pytext,,nlp,https://github.com/facebookresearch/pytext,https://github.com/facebookresearch/pytext,BSD-3-Clause,2018-07-31 23:40:46.000000,2021-04-08 05:25:01.000000,2021-04-08 05:24:56.000000,787,131.0,74.0,6153,1520.0,A natural language modeling framework based on PyTorch.,178.0,26,True,2020-06-08 23:30:58.000000,0.3.3,13.0,pytext-nlp,,,,['pytorch'],70.0,69.0,https://pypi.org/project/pytext-nlp,2020-06-08 22:49:33.000000,1.0,1309.0,1317.0,,,,,,,,2.0,224.0,,,,,,,,,,,,,,,,,,,,,\n260,backtrader,mementum/backtrader,,financial-data,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52.000000,2021-04-04 05:57:53.000000,2021-02-11 20:51:09.000000,1921,22.0,,6136,2383.0,Python Backtesting library for trading strategies.,51.0,26,False,,,155.0,backtrader,,,,,585.0,515.0,https://pypi.org/project/backtrader,2020-07-03 13:02:14.000000,70.0,20089.0,20089.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n261,carla,carla-simulator/carla,,others,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000000,2021-04-08 15:10:37.000000,2021-02-16 14:27:47.000000,1689,325.0,2804.0,5792,4760.0,Open-source simulator for autonomous driving research.,122.0,26,True,2020-12-23 07:08:35.000000,0.9.11,22.0,carla,,,,,66.0,62.0,https://pypi.org/project/carla,2019-04-28 17:45:24.000000,4.0,963.0,963.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n262,featuretools,alteryx/featuretools,,hyperopt,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17.000000,2021-04-08 14:17:36.000000,2021-04-07 14:26:41.000000,718,114.0,421.0,5503,,An open source python library for automated feature engineering.,49.0,26,True,2021-03-31 23:42:30.000000,0.23.3,70.0,featuretools,conda-forge/featuretools,,,,774.0,704.0,https://pypi.org/project/featuretools,2021-03-31 23:43:45.000000,70.0,164710.0,166479.0,https://anaconda.org/conda-forge/featuretools,2021-04-07 15:01:00.520000,49536.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n263,scikit-surprise,NicolasHug/Surprise,,recommender-systems,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38.000000,2020-10-13 01:22:58.850000,2020-08-05 17:45:59.000000,861,51.0,287.0,4776,622.0,A Python scikit for building and analyzing recommender systems.,38.0,26,True,2020-07-19 14:50:48.000000,1.1.1,9.0,scikit-surprise,conda-forge/scikit-surprise,,,,1027.0,979.0,https://pypi.org/project/scikit-surprise,2020-07-19 14:50:48.000000,48.0,47060.0,51327.0,https://anaconda.org/conda-forge/scikit-surprise,2020-10-13 01:22:58.850000,166439.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n264,PyTorch3D,facebookresearch/pytorch3d,,image,https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,MIT,2019-10-25 02:23:45.000000,2021-04-07 15:54:39.000000,2021-03-23 21:25:25.000000,533,61.0,476.0,4665,400.0,PyTorch3D is FAIR's library of reusable components for deep learning with 3D data.,54.0,26,True,2021-02-09 23:13:45.000000,0.4.0,7.0,pytorch3d,pytorch3d/pytorch3d,,,['pytorch'],65.0,65.0,https://pypi.org/project/pytorch3d,2021-02-09 23:13:45.000000,0.0,7845.0,8355.0,https://anaconda.org/pytorch3d/pytorch3d,2021-02-09 22:34:07.773000,8676.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n265,Metaflow,Netflix/metaflow,,ml-experiments,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000000,2021-04-07 02:24:08.000000,2021-04-02 17:49:27.000000,352,134.0,148.0,4209,197.0,Build and manage real-life data science projects with ease.,29.0,26,True,2021-03-15 19:56:43.000000,2.2.8,17.0,metaflow,conda-forge/metaflow,,,,114.0,112.0,https://pypi.org/project/metaflow,2021-02-09 01:25:56.000000,2.0,50550.0,51422.0,https://anaconda.org/conda-forge/metaflow,2021-03-16 02:30:45.261000,13953.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n266,Lucid,tensorflow/lucid,,interpretability,https://github.com/tensorflow/lucid,https://github.com/tensorflow/lucid,Apache-2.0,2018-01-25 17:41:44.000000,2021-03-19 16:01:00.000000,2021-03-19 15:48:33.000000,592,65.0,96.0,4153,667.0,A collection of infrastructure and tools for research in neural network interpretability.,40.0,26,True,2021-03-19 16:01:00.000000,0.3.10,17.0,lucid,,,,['tensorflow'],548.0,542.0,https://pypi.org/project/lucid,2021-03-19 16:01:00.000000,6.0,1512.0,1512.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n267,pyAudioAnalysis,tyiannak/pyAudioAnalysis,,audio,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13.000000,2021-03-23 21:55:44.000000,2021-03-23 21:55:44.000000,963,165.0,106.0,3851,677.0,\"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.\",23.0,26,True,2020-09-29 21:30:02.000000,0.3.6,15.0,pyAudioAnalysis,,,,,217.0,195.0,https://pypi.org/project/pyAudioAnalysis,2020-09-29 21:30:02.000000,22.0,15829.0,15829.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n268,espnet,espnet/espnet,,audio,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000000,2021-04-08 14:24:09.000000,2021-04-07 20:08:21.000000,1145,165.0,1119.0,3630,11128.0,End-to-End Speech Processing Toolkit.,144.0,26,True,2021-04-07 04:52:16.000000,0.9.9,34.0,espnet,,,,,7.0,7.0,https://pypi.org/project/espnet,2021-04-07 04:52:16.000000,0.0,6068.0,6069.0,,,,,,,,2.0,60.0,,,,,,,,,,,,,,,,,,,,,\n269,yellowbrick,DistrictDataLabs/yellowbrick,,interpretability,https://github.com/DistrictDataLabs/yellowbrick,https://github.com/DistrictDataLabs/yellowbrick,Apache-2.0,2016-05-18 14:12:17.000000,2021-04-06 11:34:59.000000,2021-04-06 11:34:58.000000,478,95.0,529.0,3159,848.0,Visual analysis and diagnostic tools to facilitate machine learning model selection.,97.0,26,True,2021-02-13 20:31:18.000000,1.3.post1,22.0,yellowbrick,,,,['sklearn'],62.0,,https://pypi.org/project/yellowbrick,2021-02-13 20:42:26.000000,62.0,131400.0,131400.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n270,AutoGluon,awslabs/autogluon,,hyperopt,https://github.com/awslabs/autogluon,https://github.com/awslabs/autogluon,Apache-2.0,2019-07-29 18:51:24.000000,2021-04-08 09:10:56.000000,2021-03-31 07:21:55.000000,400,120.0,312.0,3082,566.0,\"AutoGluon: AutoML for Text, Image, and Tabular Data.\",55.0,26,True,2021-03-01 22:07:04.000000,0.1.0,379.0,autogluon,,,,['mxnet'],47.0,47.0,https://pypi.org/project/autogluon,2021-04-08 09:10:56.000000,0.0,29365.0,29365.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n271,Stable Baselines,hill-a/stable-baselines,,reinforcement-learning,https://github.com/hill-a/stable-baselines,https://github.com/hill-a/stable-baselines,MIT,2018-07-02 14:28:59.000000,2021-04-06 12:37:09.000000,2020-12-23 16:27:08.000000,601,128.0,745.0,3060,835.0,\"A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.\",110.0,26,True,2021-04-06 12:37:09.000000,2.10.2,31.0,stable-baselines,,,,,50.0,,https://pypi.org/project/stable-baselines,2021-04-06 12:37:09.000000,50.0,13294.0,13294.0,,,,,,,,2.0,,2.0,,,,,,,,,,,,,,,,,,,,\n272,pytorch-summary,sksq96/pytorch-summary,,pytorch-utils,https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04.000000,2021-03-11 12:50:20.000000,2020-08-07 01:16:40.000000,360,116.0,36.0,3033,56.0,Model summary in PyTorch similar to `model.summary()` in Keras.,11.0,26,True,2018-09-26 05:07:28.000000,1.5.1,12.0,torchsummary,,,,['pytorch'],2314.0,2196.0,https://pypi.org/project/torchsummary,2018-09-26 05:07:28.000000,118.0,69883.0,69883.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n273,textract,deanmalmgren/textract,,data-loading,https://github.com/deanmalmgren/textract,https://github.com/deanmalmgren/textract,MIT,2014-07-03 20:36:59.000000,2021-04-05 14:04:11.000000,2019-11-14 08:37:39.000000,424,84.0,121.0,2986,556.0,extract text from any document. no muss. no fuss.,30.0,26,False,2019-08-26 15:05:53.000000,1.6.3,15.0,textract,conda-forge/textract,,,,192.0,,https://pypi.org/project/textract,2019-08-26 15:05:53.000000,192.0,39931.0,40129.0,https://anaconda.org/conda-forge/textract,2017-03-20 21:15:33.254000,10923.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n274,Hub,activeloopai/Hub,,data-pipelines,https://github.com/activeloopai/Hub,https://github.com/activeloopai/Hub,MPL-2.0,2019-08-09 06:17:59.000000,2021-04-08 15:04:05.000000,2021-04-08 15:03:53.000000,224,24.0,227.0,2930,2059.0,Fastest unstructured dataset management for TensorFlow/PyTorch. Stream data real-time & version-control it...,75.0,26,True,2021-04-06 15:03:12.000000,1.3.3,87.0,hub,,,,\"['tensorflow', 'pytorch']\",175.0,123.0,https://pypi.org/project/hub,2021-04-06 15:03:12.000000,52.0,2458.0,2458.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n275,vaderSentiment,cjhutto/vaderSentiment,,nlp,https://github.com/cjhutto/vaderSentiment,https://github.com/cjhutto/vaderSentiment,MIT,2014-11-17 16:31:45.000000,2021-03-15 18:43:06.000000,2021-03-15 18:43:06.000000,757,31.0,74.0,2915,127.0,VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based..,10.0,26,True,2020-05-22 15:07:00.000000,3.3.2,15.0,vadersentiment,,,,,2752.0,2466.0,https://pypi.org/project/vadersentiment,2020-05-22 15:07:00.000000,286.0,155762.0,155762.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n276,TensorForce,tensorforce/tensorforce,,reinforcement-learning,https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22.000000,2021-03-27 12:03:06.000000,2021-03-27 12:03:10.000000,495,10.0,550.0,2907,2027.0,Tensorforce: a TensorFlow library for applied reinforcement learning.,76.0,26,True,2021-03-22 21:45:44.000000,0.6.3,12.0,tensorforce,,,,['tensorflow'],46.0,,https://pypi.org/project/tensorforce,2019-09-07 13:56:18.000000,46.0,1406.0,1406.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n277,nevergrad,facebookresearch/nevergrad,,hyperopt,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000000,2021-04-08 14:46:50.000000,2021-04-08 09:59:56.000000,278,83.0,127.0,2889,808.0,A Python toolbox for performing gradient-free optimization.,42.0,26,True,2021-01-28 12:05:40.000000,0.4.3,29.0,nevergrad,conda-forge/nevergrad,,,,166.0,152.0,https://pypi.org/project/nevergrad,2021-04-08 10:20:47.000000,14.0,30853.0,31473.0,https://anaconda.org/conda-forge/nevergrad,2020-12-14 18:21:29.267000,7445.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n278,DeepChem,deepchem/deepchem,,others,https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000000,2021-04-08 15:00:28.000000,2021-04-06 18:32:11.000000,957,361.0,873.0,2858,6341.0,\"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.\",153.0,26,True,2021-03-18 03:10:52.000000,2.5.0,239.0,deepchem,,,,['tensorflow'],42.0,38.0,https://pypi.org/project/deepchem,2021-04-06 18:33:56.000000,4.0,6247.0,6247.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n279,missingno,ResidentMario/missingno,,data-viz,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50.000000,2020-12-28 16:13:39.000000,2020-12-28 16:13:38.000000,353,19.0,88.0,2724,170.0,Missing data visualization module for Python.,15.0,26,True,2019-07-09 16:05:14.000000,0.4.2,22.0,missingno,conda-forge/missingno,,,,3425.0,3273.0,https://pypi.org/project/missingno,2019-07-09 16:05:14.000000,152.0,295048.0,296903.0,https://anaconda.org/conda-forge/missingno,2020-02-15 10:07:41.253000,83484.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n280,eli5,TeamHG-Memex/eli5,,interpretability,https://github.com/TeamHG-Memex/eli5,https://github.com/TeamHG-Memex/eli5,MIT,2016-09-15 01:04:57.000000,2021-01-25 08:24:59.385000,2020-01-22 07:39:36.000000,296,145.0,110.0,2338,1198.0,A library for debugging/inspecting machine learning classifiers and explaining their predictions.,14.0,26,False,2021-01-23 14:25:24.000000,0.11.0,28.0,eli5,conda-forge/eli5,,,,110.0,,https://pypi.org/project/eli5,2021-01-23 14:25:24.000000,110.0,377590.0,379541.0,https://anaconda.org/conda-forge/eli5,2021-01-25 08:24:59.385000,91715.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n281,ClearML,allegroai/clearml,,ml-experiments,https://github.com/allegroai/clearml,https://github.com/allegroai/clearml,Apache-2.0,2019-06-10 08:18:32.000000,2021-04-07 15:39:11.000000,2021-04-07 15:38:58.000000,331,71.0,211.0,2302,1103.0,\"ClearML - Auto-Magical Suite of tools to streamline your ML workflow. Experiment Manager, ML-Ops and Data-Management.\",28.0,26,True,2021-03-16 08:28:48.000000,0.17.5,40.0,clearml,,allegroai/trains,,,23.0,23.0,https://pypi.org/project/clearml,2021-03-11 17:30:50.000000,0.0,20556.0,21933.0,,,,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,30029.0,2.0,298.0,,,,,,,,,,,,,,,,,,,,,\n282,gpustat,wookayin/gpustat,,gpu-utilities,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43.000000,2021-03-23 06:32:48.000000,2021-03-23 06:32:48.000000,195,19.0,49.0,2298,168.0,A simple command-line utility for querying and monitoring GPU status.,12.0,26,True,2019-07-22 06:37:00.000000,0.6.0,11.0,gpustat,conda-forge/gpustat,,,,802.0,744.0,https://pypi.org/project/gpustat,2021-01-02 05:59:41.000000,58.0,352594.0,354188.0,https://anaconda.org/conda-forge/gpustat,2020-11-24 19:59:04.772000,39871.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n283,Captum,pytorch/captum,,interpretability,https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000000,2021-04-08 03:51:43.000000,2021-04-07 20:15:50.000000,225,49.0,166.0,2251,801.0,Model interpretability and understanding for PyTorch.,70.0,26,True,2021-01-23 18:11:12.000000,0.3.1,5.0,captum,,,,['pytorch'],145.0,145.0,https://pypi.org/project/captum,2021-01-22 20:55:47.000000,0.0,16520.0,16520.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n284,GluonNLP,dmlc/gluon-nlp,,nlp,https://github.com/dmlc/gluon-nlp,https://github.com/dmlc/gluon-nlp,Apache-2.0,2018-04-04 20:57:13.000000,2021-04-02 02:50:21.000000,2021-03-24 15:17:30.000000,508,252.0,289.0,2249,828.0,\"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..\",81.0,26,True,2020-08-13 19:17:42.000000,0.10.0,26.0,gluonnlp,,,,['mxnet'],457.0,435.0,https://pypi.org/project/gluonnlp,2020-08-13 19:17:42.000000,22.0,42175.0,42175.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n285,Core ML Tools,apple/coremltools,,model-serialisation,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000000,2021-04-06 17:31:02.000000,2021-03-18 00:10:55.000000,358,345.0,348.0,2166,868.0,\"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.\",111.0,26,True,2021-02-05 02:07:15.000000,4.1,28.0,coremltools,,,,,758.0,492.0,https://pypi.org/project/coremltools,2021-02-05 01:28:44.000000,266.0,47733.0,47792.0,,,,,,,,1.0,2559.0,,,,,,,,,,,,,,,,,,,,,\n286,scikit-plot,reiinakano/scikit-plot,,interpretability,https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59.000000,2021-02-26 14:37:45.000000,2018-08-19 12:37:47.000000,247,21.0,39.0,2054,130.0,An intuitive library to add plotting functionality to scikit-learn objects.,13.0,26,False,2018-08-19 12:21:01.000000,0.3.7,27.0,scikit-plot,conda-forge/scikit-plot,,,['sklearn'],900.0,846.0,https://pypi.org/project/scikit-plot,2018-08-19 12:18:46.000000,54.0,127779.0,129681.0,https://anaconda.org/conda-forge/scikit-plot,2019-06-05 14:23:59.043000,85604.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n287,spark-nlp,JohnSnowLabs/spark-nlp,,nlp,https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000000,2021-04-08 06:35:09.000000,2021-04-07 12:04:37.000000,431,74.0,376.0,2044,7809.0,State of the Art Natural Language Processing.,83.0,26,True,2021-04-02 15:27:53.000000,3.0.1,82.0,spark-nlp,,,,['spark'],0.0,,https://pypi.org/project/spark-nlp,2021-04-02 09:10:50.000000,0.0,653190.0,653190.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n288,facenet-pytorch,timesler/facenet-pytorch,,image,https://github.com/timesler/facenet-pytorch,https://github.com/timesler/facenet-pytorch,MIT,2019-05-25 01:29:24.000000,2021-04-07 10:55:02.000000,2021-04-01 03:10:16.000000,421,33.0,86.0,1977,231.0,Pretrained Pytorch face detection (MTCNN) and recognition (InceptionResnet) models.,12.0,26,True,2021-03-10 01:00:20.000000,2.5.2,31.0,facenet-pytorch,,,,['pytorch'],326.0,320.0,https://pypi.org/project/facenet-pytorch,2021-03-10 01:00:20.000000,6.0,14378.0,18846.0,,,,,,,,2.0,75956.0,,,,,,,,,,,,,,,,,,,,,\n289,TorchServe,pytorch/serve,,model-serialisation,https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000000,2021-04-08 06:38:53.000000,2021-03-22 16:40:38.000000,258,160.0,420.0,1687,1170.0,Model Serving on PyTorch.,64.0,26,True,2021-03-15 22:31:02.000000,0.3.1,7.0,torchserve,pytorch/torchserve,pytorch/torchserve,,['pytorch'],35.0,35.0,https://pypi.org/project/torchserve,2021-03-15 21:14:14.000000,0.0,7176.0,10941.0,https://anaconda.org/pytorch/torchserve,2021-03-18 18:37:54.539000,7572.0,https://hub.docker.com/r/pytorch/torchserve,2020-12-18 18:32:51.570336,3.0,56112.0,1.0,205.0,,,,,,,,,,,,,,,,,,,,,\n290,haystack,deepset-ai/haystack,,nlp,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000000,2021-04-08 12:05:34.000000,2021-04-08 12:05:33.000000,304,74.0,466.0,1590,584.0,End-to-end Python framework for building natural language search interfaces to data. Leverages Transformers and the..,42.0,26,True,2021-01-21 17:42:17.000000,0.7.0,34.0,haystack,,,,,209.0,43.0,https://pypi.org/project/haystack,2017-07-03 04:44:52.000000,166.0,1683.0,1683.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n291,Pythran,serge-sans-paille/pythran,,others,https://github.com/serge-sans-paille/pythran,https://github.com/serge-sans-paille/pythran,BSD-3-Clause,2012-05-29 08:02:14.000000,2021-04-06 17:54:46.000000,2021-04-06 17:54:46.000000,139,104.0,558.0,1523,3344.0,Ahead of Time compiler for numeric kernels.,50.0,26,True,2021-03-31 17:17:15.000000,0.9.9,46.0,pythran,conda-forge/pythran,,,,77.0,51.0,https://pypi.org/project/pythran,2021-03-31 17:17:15.000000,26.0,9140.0,13205.0,https://anaconda.org/conda-forge/pythran,2021-04-01 20:02:42.397000,142281.0,,,,,2.0,,,,,,,,,,,,,,,pythran,python-pythran,,,,,,\n292,hnswlib,nmslib/hnswlib,,nn-search,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000000,2021-04-05 05:31:31.000000,2021-02-04 04:34:33.000000,263,91.0,108.0,1439,275.0,Header-only C++/python library for fast approximate nearest neighbors.,41.0,26,True,2021-02-04 04:55:19.000000,0.5.1,5.0,hnswlib,,,,,110.0,108.0,https://pypi.org/project/hnswlib,2021-02-04 04:55:19.000000,2.0,27638.0,27638.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n293,jellyfish,jamesturk/jellyfish,,nlp,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,BSD-2-Clause,2010-07-09 20:41:11.000000,2021-03-16 05:35:41.000000,2021-03-11 19:15:57.000000,128,12.0,88.0,1431,,a python library for doing approximate and phonetic matching of strings.,21.0,26,True,2020-05-21 20:37:01.000000,0.8.2,27.0,jellyfish,conda-forge/jellyfish,,,,2909.0,2263.0,https://pypi.org/project/jellyfish,2020-05-21 20:37:01.000000,646.0,1242756.0,1244943.0,https://anaconda.org/conda-forge/jellyfish,2021-01-08 15:04:47.681000,120321.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n294,tesserocr,sirfz/tesserocr,,ocr,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36.000000,2021-03-27 15:02:05.000000,2021-03-23 20:36:58.000000,199,63.0,147.0,1426,157.0,A Python wrapper for the tesseract-ocr API.,24.0,26,True,2020-03-17 17:45:44.000000,2.5.1,15.0,tesserocr,conda-forge/tesserocr,,,,581.0,481.0,https://pypi.org/project/tesserocr,2020-03-17 17:45:44.000000,100.0,44458.0,46716.0,https://anaconda.org/conda-forge/tesserocr,2021-01-13 16:38:14.456000,40661.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n295,TFX,tensorflow/tfx,,data-pipelines,https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000000,2021-04-08 08:59:00.000000,2021-04-08 00:11:17.000000,423,239.0,339.0,1379,3293.0,TFX is an end-to-end platform for deploying production ML pipelines.,107.0,26,True,2021-03-23 22:26:58.000000,0.26.3,45.0,tfx,,,,['tensorflow'],4.0,,https://pypi.org/project/tfx,2021-04-01 02:35:31.000000,4.0,202975.0,202975.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n296,petastorm,uber/petastorm,,distributed-ml,https://github.com/uber/petastorm,https://github.com/uber/petastorm,Apache-2.0,2018-06-15 23:15:29.000000,2021-03-20 00:47:45.000000,2021-03-20 00:47:45.000000,187,124.0,116.0,1123,620.0,Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets..,38.0,26,True,2020-12-15 18:37:49.000000,0.9.8,64.0,petastorm,,,,,29.0,29.0,https://pypi.org/project/petastorm,2020-12-15 18:37:49.000000,0.0,90458.0,90466.0,,,,,,,,2.0,288.0,,,,,,,,,,,,,,,,,,,,,\n297,TF Model Optimization,tensorflow/model-optimization,,tensorflow-utils,https://github.com/tensorflow/model-optimization,https://github.com/tensorflow/model-optimization,Apache-2.0,2018-10-31 20:34:28.000000,2021-04-07 17:40:15.000000,2021-04-07 17:40:06.000000,225,73.0,102.0,1018,498.0,\"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.\",45.0,26,True,2020-09-14 04:46:03.000000,0.5.0,20.0,tensorflow-model-optimization,,,,['tensorflow'],703.0,697.0,https://pypi.org/project/tensorflow-model-optimization,2020-09-14 04:36:08.000000,6.0,121941.0,121941.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n298,fancyimpute,iskandr/fancyimpute,,sklearn-utils,https://github.com/iskandr/fancyimpute,https://github.com/iskandr/fancyimpute,Apache-2.0,2015-11-05 23:39:34.000000,2021-03-30 16:22:41.000000,2021-01-25 00:27:51.000000,150,3.0,104.0,952,198.0,Multivariate imputation and matrix completion algorithms implemented in Python.,11.0,26,True,2021-03-30 16:22:41.000000,0.5.5,26.0,fancyimpute,,,,['sklearn'],859.0,817.0,https://pypi.org/project/fancyimpute,2020-07-16 21:36:59.000000,42.0,12477.0,12477.0,,,,,,,,2.0,,2.0,,,,,,,,,,,,,,,,,,,,\n299,bcolz,Blosc/bcolz,,data-containers,https://github.com/Blosc/bcolz,https://github.com/Blosc/bcolz,BSD-3-Clause,2010-08-18 15:27:02.000000,2021-04-02 08:59:38.000000,2020-09-10 12:12:45.000000,117,126.0,122.0,913,1280.0,A columnar data container that can be compressed.,33.0,26,True,2018-04-13 07:44:26.000000,1.2.1,23.0,bcolz,conda-forge/bcolz,,,,2511.0,1543.0,https://pypi.org/project/bcolz,2018-04-13 07:44:26.000000,968.0,27666.0,32329.0,https://anaconda.org/conda-forge/bcolz,2019-11-05 21:09:48.045000,233190.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n300,kmodes,nicodv/kmodes,,others,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40.000000,2021-03-07 06:05:41.000000,2021-03-07 06:05:39.000000,341,18.0,111.0,829,462.0,\"Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data.\",17.0,26,True,2021-02-13 03:34:23.000000,0.11.0,13.0,kmodes,,,,,520.0,494.0,https://pypi.org/project/kmodes,2021-02-13 03:26:34.000000,26.0,104528.0,104528.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n301,pyclustering,annoviko/pyclustering,,others,https://github.com/annoviko/pyclustering,https://github.com/annoviko/pyclustering,BSD-3-Clause,2014-02-25 18:59:03.000000,2021-02-12 23:22:26.000000,2021-02-12 19:04:59.000000,189,49.0,584.0,813,2079.0,\"pyclustring is a Python, C++ data mining library.\",26.0,26,True,2020-11-25 22:33:07.000000,0.10.1.2,46.0,pyclustering,conda-forge/pyclustering,,,,222.0,186.0,https://pypi.org/project/pyclustering,2020-11-25 22:41:20.000000,36.0,40321.0,41458.0,https://anaconda.org/conda-forge/pyclustering,2021-01-25 21:14:55.053000,18113.0,,,,,2.0,305.0,,,,,,,,,,,,,,,,,,,,,\n302,pythreejs,jupyter-widgets/pythreejs,,data-viz,https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,BSD-3-Clause,2013-12-23 17:02:11.000000,2021-03-02 13:32:39.505000,2021-02-26 14:01:59.000000,158,62.0,141.0,720,1659.0,A Jupyter - Three.js bridge.,27.0,26,True,2021-02-26 14:01:21.000000,2.3.0,43.0,pythreejs,conda-forge/pythreejs,,,['jupyter'],49.0,15.0,https://pypi.org/project/pythreejs,2021-02-26 14:01:21.000000,26.0,21081.0,40379.0,https://anaconda.org/conda-forge/pythreejs,2021-03-02 13:32:39.505000,286599.0,,,,,3.0,,,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,2021-02-26 13:59:06.062000,8.0,14441.0,,,,,,,,,,,,,,\n303,TensorFlow Text,tensorflow/text,,nlp,https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000000,2021-04-08 00:31:00.000000,2021-04-07 00:49:22.000000,87,50.0,87.0,708,365.0,Making text a first-class citizen in TensorFlow.,36.0,26,True,2021-01-13 04:36:01.000000,2.4.3,33.0,tensorflow-text,,,,['tensorflow'],574.0,570.0,https://pypi.org/project/tensorflow-text,2021-04-06 23:21:59.000000,4.0,303236.0,303236.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n304,CLTK,cltk/cltk,,nlp,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000000,2021-03-30 16:33:47.000000,2021-03-30 16:33:47.000000,300,128.0,361.0,655,3564.0,The Classical Language Toolkit.,110.0,26,True,2021-03-30 16:18:12.000000,1.0.10,180.0,cltk,,,,,229.0,161.0,https://pypi.org/project/cltk,2021-03-30 16:18:12.000000,68.0,4056.0,4056.0,,,,,,,,2.0,22.0,,,,,,,,,,,,,,,,,,,,,\n305,pyahocorasick,WojciechMula/pyahocorasick,,nlp,https://github.com/WojciechMula/pyahocorasick,https://github.com/WojciechMula/pyahocorasick,BSD-3-Clause,2013-05-30 19:55:46.000000,2021-03-27 18:19:12.000000,2021-03-27 17:10:43.000000,88,33.0,68.0,598,412.0,Python module (C extension and plain python) implementing Aho-Corasick algorithm.,21.0,26,True,2021-03-27 18:19:12.000000,1.4.2,24.0,pyahocorasick,conda-forge/pyahocorasick,,,,645.0,541.0,https://pypi.org/project/pyahocorasick,2021-03-27 18:19:12.000000,104.0,198774.0,201704.0,https://anaconda.org/conda-forge/pyahocorasick,2020-10-13 12:20:05.350000,117227.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n306,SMAC3,automl/SMAC3,,hyperopt,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-3-Clause,2016-08-17 10:58:05.000000,2021-04-08 09:04:22.000000,2020-10-29 10:14:55.000000,159,77.0,251.0,566,1888.0,Sequential Model-based Algorithm Configuration.,30.0,26,True,2021-03-15 08:26:39.000000,0.13.1,29.0,smac,,,,,58.0,,https://pypi.org/project/smac,2020-10-29 10:57:56.000000,58.0,24466.0,24466.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n307,Intake,intake/intake,,data-loading,https://github.com/intake/intake,https://github.com/intake/intake,BSD-2-Clause,2017-08-14 20:44:22.000000,2021-04-05 16:00:28.000000,2021-04-05 16:00:28.000000,98,77.0,195.0,548,1672.0,\"Intake is a lightweight package for finding, investigating, loading and disseminating data.\",59.0,26,True,2021-03-16 19:53:00.000000,0.6.2,21.0,intake,conda-forge/intake,,,,318.0,244.0,https://pypi.org/project/intake,2021-03-16 19:53:00.000000,74.0,8811.0,11222.0,https://anaconda.org/conda-forge/intake,2021-03-16 21:22:12.681000,69943.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n308,inflect,jaraco/inflect,,nlp,https://github.com/jaraco/inflect,https://github.com/jaraco/inflect,MIT,2010-06-20 13:43:13.000000,2021-03-26 19:47:09.000000,2021-03-23 00:21:53.000000,59,11.0,63.0,503,,\"Correctly generate plurals, ordinals, indefinite articles; convert numbers to words.\",29.0,26,True,2021-03-03 01:35:47.000000,5.3.0,33.0,inflect,conda-forge/inflect,,,,1388.0,,https://pypi.org/project/inflect,2021-03-03 01:35:47.000000,1388.0,1575228.0,1578228.0,https://anaconda.org/conda-forge/inflect,2021-03-03 03:46:48.932000,144043.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n309,tabulator-py,frictionlessdata/tabulator-py,,data-loading,https://github.com/frictionlessdata/tabulator-py,https://github.com/frictionlessdata/tabulator-py,MIT,2015-08-24 05:34:38.000000,2021-03-22 13:33:49.000000,2021-03-22 13:33:48.000000,42,,177.0,204,657.0,Python library for reading and writing tabular data via streams.,25.0,26,True,2021-03-21 07:47:00.000000,1.53.5,141.0,tabulator,conda-forge/tabulator-py,,,,611.0,507.0,https://pypi.org/project/tabulator,2021-03-21 07:47:00.000000,104.0,161215.0,162086.0,https://anaconda.org/conda-forge/tabulator-py,2018-07-24 12:57:07.018000,40092.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n310,spleeter,deezer/spleeter,,audio,https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000000,2021-04-02 14:21:24.000000,2021-03-12 16:47:11.000000,1648,85.0,452.0,16039,458.0,Deezer source separation library including pretrained models.,17.0,25,True,2021-02-26 11:05:30.000000,2.2.0,31.0,spleeter,conda-forge/spleeter,,,['tensorflow'],0.0,,https://pypi.org/project/spleeter,2021-02-26 11:05:30.000000,0.0,8799.0,67217.0,https://anaconda.org/conda-forge/spleeter,2020-06-30 14:33:43.220000,47675.0,,,,,3.0,1001063.0,,,,,,,,,,,,,,,,,,,,,\n311,MMDetection,open-mmlab/mmdetection,,image,https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000000,2021-04-08 13:31:38.000000,2021-04-06 09:35:38.000000,4906,365.0,3227.0,14314,1495.0,OpenMMLab Detection Toolbox and Benchmark.,203.0,25,True,2021-04-02 07:41:57.000000,2.11.0,11.0,,,,,['pytorch'],33.0,33.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n312,PaddleOCR,PaddlePaddle/PaddleOCR,,ocr,https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000000,2021-04-08 14:28:32.000000,2021-04-07 10:10:49.000000,2284,637.0,1016.0,11529,,\"Awesome multilingual OCR toolkits based on PaddlePaddle practical ultra lightweight OCR system, provide data..\",50.0,25,True,2021-03-17 08:49:48.000000,2.0.3,11.0,paddleocr,,,,['paddle'],86.0,86.0,https://pypi.org/project/paddleocr,2021-03-17 08:49:48.000000,0.0,2265.0,2265.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n313,pysc2,deepmind/pysc2,,others,https://github.com/deepmind/pysc2,https://github.com/deepmind/pysc2,Apache-2.0,2017-07-25 18:16:57.000000,2020-07-29 16:22:31.000000,2019-09-27 15:23:22.000000,1103,57.0,203.0,7223,513.0,StarCraft II Learning Environment.,34.0,25,False,2019-09-27 15:48:01.000000,3.0.0,7.0,pysc2,,,,,269.0,229.0,https://pypi.org/project/pysc2,2019-09-27 15:48:01.000000,40.0,1037.0,1634.0,,,,,,,,2.0,26272.0,,,,,,,,,,,,,,,,,,,,,\n314,NuPIC,numenta/nupic,,ml-frameworks,https://github.com/numenta/nupic,https://github.com/numenta/nupic,AGPL-3.0,2013-04-05 23:14:27.000000,2021-03-25 21:39:47.000000,2019-10-23 20:45:07.000000,1585,456.0,1337.0,6221,6625.0,\"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..\",121.0,25,False,2018-06-01 15:37:54.000000,1.0.5,53.0,nupic,,,,,133.0,95.0,https://pypi.org/project/nupic,2018-06-01 15:37:54.000000,38.0,2987.0,2987.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n315,Trax,google/trax,,others,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000000,2021-04-07 23:13:28.000000,2021-04-07 23:13:20.000000,567,67.0,108.0,6015,1434.0,Trax Deep Learning with Clear Code and Speed.,65.0,25,True,2020-12-18 17:22:13.000000,1.3.7,20.0,trax,,,,,25.0,25.0,https://pypi.org/project/trax,2020-12-18 17:22:13.000000,,4378.0,4378.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n316,Vaex,vaexio/vaex,,data-containers,https://github.com/vaexio/vaex,https://github.com/vaexio/vaex,MIT,2014-09-27 09:44:42.000000,2021-04-08 08:41:00.000000,2021-04-08 07:41:28.000000,461,319.0,433.0,6014,3002.0,\"Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualize and explore big tabular data at a billion..\",40.0,25,True,2021-03-18 09:19:49.000000,4.1.0,51.0,vaex,conda-forge/vaex,,,,4.0,,https://pypi.org/project/vaex,2021-03-18 09:19:49.000000,4.0,12674.0,14547.0,https://anaconda.org/conda-forge/vaex,2021-03-09 14:33:41.948000,101035.0,,,,,3.0,199.0,,,,,,,,,,,,,,,,,,,,,\n317,EfficientNet-PyTorch,lukemelas/EfficientNet-PyTorch,,pytorch-utils,https://github.com/lukemelas/EfficientNet-PyTorch,https://github.com/lukemelas/EfficientNet-PyTorch,Apache-2.0,2019-05-30 05:24:11.000000,2021-04-04 02:42:26.000000,2021-04-04 02:42:26.000000,1128,118.0,117.0,5723,147.0,A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!).,22.0,25,True,2020-08-26 03:00:05.000000,0.7.0,12.0,efficientnet-pytorch,,,,['pytorch'],14.0,,https://pypi.org/project/efficientnet-pytorch,2020-08-26 03:00:05.000000,14.0,56178.0,88218.0,,,,,,,,1.0,416527.0,,,,,,,,,,,,,,,,,,,,,\n318,Milvus,milvus-io/milvus,,nn-search,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000000,2021-04-08 11:10:09.000000,2021-03-18 08:40:13.000000,836,218.0,2014.0,5420,5591.0,\"An open source embedding vector similarity search engine powered by Faiss, NMSLIB and Annoy.\",136.0,25,True,2021-03-10 10:20:14.000000,1.0.0,46.0,pymilvus,,milvusdb/milvus,,,6.0,,https://pypi.org/project/pymilvus,2021-03-08 12:52:06.000000,6.0,13479.0,29107.0,,,,https://hub.docker.com/r/milvusdb/milvus,2021-03-05 10:28:16.600534,10.0,296935.0,2.0,,,,,,,,,,,,,,,,,,,,,,\n319,stanza,stanfordnlp/stanza,,nlp,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56.000000,2021-04-08 01:07:57.000000,2021-02-10 16:16:29.000000,678,53.0,436.0,5334,,Official Stanford NLP Python Library for Many Human Languages.,32.0,25,True,2021-01-29 20:05:25.000000,1.2.0,10.0,stanza,stanfordnlp/stanza,,,,391.0,387.0,https://pypi.org/project/stanza,2021-01-27 16:31:43.000000,4.0,33708.0,33972.0,https://anaconda.org/stanfordnlp/stanza,2021-01-27 22:24:06.992000,3441.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n320,keras-rl,keras-rl/keras-rl,,reinforcement-learning,https://github.com/keras-rl/keras-rl,https://github.com/keras-rl/keras-rl,MIT,2016-07-02 15:53:12.000000,2020-11-20 07:32:13.000000,2019-11-11 22:14:54.000000,1284,39.0,211.0,4999,308.0,Deep Reinforcement Learning for Keras.,40.0,25,False,2018-06-01 07:52:24.000000,0.4.2,8.0,keras-rl,,,,['tensorflow'],575.0,473.0,https://pypi.org/project/keras-rl,2018-06-01 07:52:24.000000,102.0,2739.0,2739.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n321,DeepSpeed,microsoft/DeepSpeed,,distributed-ml,https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,MIT,2020-01-23 18:35:18.000000,2021-04-08 00:21:32.000000,2021-04-08 00:06:41.000000,437,192.0,219.0,4620,498.0,\"DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.\",48.0,25,True,2021-03-16 22:28:45.000000,0.3.13,21.0,deepspeed,,deepspeed/deepspeed,,['pytorch'],19.0,19.0,https://pypi.org/project/deepspeed,2021-03-16 22:23:47.000000,,11210.0,11719.0,,,,https://hub.docker.com/r/deepspeed/deepspeed,2021-02-20 21:35:37.092937,2.0,7646.0,2.0,,,,,,,,,,,,,,,,,,,,,,\n322,Edward,blei-lab/edward,,probabilistics,https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05.000000,2019-10-22 20:30:48.000000,2018-07-25 01:28:08.000000,767,212.0,327.0,4617,1796.0,\"A probabilistic programming language in TensorFlow. Deep generative models, variational inference.\",87.0,25,False,2018-01-22 06:03:37.000000,1.3.5,28.0,edward,,,,['tensorflow'],293.0,215.0,https://pypi.org/project/edward,2018-01-22 06:03:05.000000,78.0,2261.0,2261.0,,,,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,,,,\n323,Great Expectations,great-expectations/great_expectations,,data-pipelines,https://github.com/great-expectations/great_expectations,https://github.com/great-expectations/great_expectations,Apache-2.0,2017-09-11 00:18:46.000000,2021-04-08 15:14:11.000000,2021-04-08 15:14:10.000000,518,204.0,633.0,4147,,Always know what to expect from your data.,177.0,25,True,2021-04-02 18:11:39.000000,0.13.17,107.0,great_expectations,,,,,6.0,,https://pypi.org/project/great_expectations,2021-04-01 18:36:43.000000,6.0,586975.0,586975.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n324,VisualDL,PaddlePaddle/VisualDL,,ml-experiments,https://github.com/PaddlePaddle/VisualDL,https://github.com/PaddlePaddle/VisualDL,Apache-2.0,2017-12-20 12:34:31.000000,2021-04-08 09:25:22.000000,2021-04-08 07:07:33.000000,535,28.0,318.0,3896,,Deep Learning Visualization Toolkit.,29.0,25,True,2021-02-01 09:03:52.000000,2.1.1,31.0,visualdl,,,,['paddle'],258.0,248.0,https://pypi.org/project/visualdl,2021-01-29 09:44:14.000000,10.0,8775.0,8785.0,,,,,,,,3.0,104.0,,,,,,,,,,,,,,,,,,,,,\n325,BigDL,intel-analytics/BigDL,,distributed-ml,https://github.com/intel-analytics/BigDL,https://github.com/intel-analytics/BigDL,Apache-2.0,2016-08-29 07:59:50.000000,2021-04-07 05:17:55.000000,2021-03-25 06:24:08.000000,904,184.0,727.0,3714,2661.0,BigDL: Distributed Deep Learning Framework for Apache Spark.,71.0,25,True,2021-01-05 05:55:32.000000,0.12.1,39.0,bigdl,,,,,30.0,24.0,https://pypi.org/project/bigdl,2021-04-07 05:17:55.000000,6.0,2133.0,2133.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,com.intel.analytics.bigdl:bigdl-SPARK_2.4,https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4,2020-12-05 03:54:47.000000,0.0,,\n326,TensorFlowOnSpark,yahoo/TensorFlowOnSpark,,distributed-ml,https://github.com/yahoo/TensorFlowOnSpark,https://github.com/yahoo/TensorFlowOnSpark,Apache-2.0,2017-01-20 18:15:57.000000,2021-03-29 16:39:50.000000,2021-03-29 16:39:47.000000,940,11.0,336.0,3654,616.0,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,33.0,25,True,2021-03-23 16:46:56.000000,2.2.3,30.0,tensorflowonspark,,,,\"['tensorflow', 'spark']\",5.0,,https://pypi.org/project/tensorflowonspark,2021-03-19 17:34:37.000000,5.0,121478.0,121478.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n327,mlpack,mlpack/mlpack,,ml-frameworks,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59.000000,2021-04-08 14:08:35.000000,2021-04-06 01:18:40.000000,1340,154.0,1224.0,3621,26165.0,mlpack: a scalable C++ machine learning library --.,271.0,25,True,2020-10-28 18:28:47.000000,3.4.2,40.0,mlpack,conda-forge/mlpack,,,,0.0,,https://pypi.org/project/mlpack,2020-10-28 18:28:47.000000,0.0,895.0,3037.0,https://anaconda.org/conda-forge/mlpack,2020-10-29 09:35:18.918000,70700.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n328,PML,KevinMusgrave/pytorch-metric-learning,,pytorch-utils,https://github.com/KevinMusgrave/pytorch-metric-learning,https://github.com/KevinMusgrave/pytorch-metric-learning,MIT,2019-10-23 17:20:35.000000,2021-04-07 04:52:54.000000,2021-04-03 02:44:16.000000,396,38.0,196.0,2962,655.0,\"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.\",15.0,25,True,2021-04-03 00:20:04.000000,0.9.98,152.0,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,,['pytorch'],68.0,68.0,https://pypi.org/project/pytorch-metric-learning,2019-12-27 11:28:11.000000,0.0,10265.0,10382.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2021-04-03 02:32:50.650000,1766.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n329,Chartify,spotify/chartify,,data-viz,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05.000000,2021-03-20 11:20:12.000000,2021-02-05 18:49:02.000000,256,40.0,30.0,2872,195.0,Python library that makes it easy for data scientists to create charts.,21.0,25,True,2020-11-02 22:14:08.000000,3.0.3,16.0,chartify,conda-forge/chartify,,,,58.0,53.0,https://pypi.org/project/chartify,2020-11-02 22:14:08.000000,5.0,3429.0,3881.0,https://anaconda.org/conda-forge/chartify,2020-11-07 19:52:50.628000,13117.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n330,Sumy,miso-belica/sumy,,nlp,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48.000000,2020-11-21 17:08:35.000000,2020-11-21 17:08:33.000000,446,12.0,78.0,2555,397.0,Module for automatic summarization of text documents and HTML pages.,20.0,25,True,2019-05-19 14:39:21.000000,0.8.1,13.0,sumy,,,,,916.0,724.0,https://pypi.org/project/sumy,2019-05-19 14:38:29.000000,192.0,14490.0,14490.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n331,Neural Network Libraries,sony/nnabla,,ml-frameworks,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10.000000,2021-04-08 02:32:56.000000,2021-04-07 12:02:25.000000,299,34.0,29.0,2433,2581.0,Neural Network Libraries.,58.0,25,True,2021-03-19 11:10:09.000000,1.18.0,53.0,nnabla,,,,,34.0,,https://pypi.org/project/nnabla,2021-03-13 01:29:58.000000,34.0,4760.0,4771.0,,,,,,,,3.0,523.0,,,,,,,,,,,,,,,,,,,,,\n332,aubio,aubio/aubio,,audio,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44.000000,2021-01-19 16:59:52.641000,2021-01-19 09:51:49.000000,307,114.0,174.0,2077,4111.0,a library for audio and music analysis.,24.0,25,False,2019-02-27 09:00:43.000000,0.4.9,10.0,aubio,conda-forge/aubio,,,,251.0,215.0,https://pypi.org/project/aubio,2019-02-08 11:21:02.000000,36.0,3260.0,11566.0,https://anaconda.org/conda-forge/aubio,2021-01-19 16:59:52.641000,407004.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n333,TextDistance,life4/textdistance,,nlp,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10.000000,2021-01-29 15:41:57.288000,2021-01-29 09:03:55.000000,165,9.0,,1943,304.0,\"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..\",9.0,25,True,2021-01-29 09:04:46.000000,.4.2.1,21.0,textdistance,conda-forge/textdistance,,,,487.0,459.0,https://pypi.org/project/textdistance,2021-01-29 09:03:27.000000,28.0,188689.0,189588.0,https://anaconda.org/conda-forge/textdistance,2021-01-29 15:41:57.288000,31400.0,,,,,3.0,104.0,,,,,,,,,,,,,,,,,,,,,\n334,causalml,uber/causalml,,others,https://github.com/uber/causalml,https://github.com/uber/causalml,Apache-2.0,2019-07-09 02:08:58.000000,2021-03-17 17:14:53.000000,2021-03-17 17:14:53.000000,271,31.0,137.0,1855,309.0,Uplift modeling and causal inference with machine learning algorithms.,25.0,25,True,2021-02-19 20:58:43.000000,0.10.0,13.0,causalml,,,,,17.0,17.0,https://pypi.org/project/causalml,2021-02-19 20:32:15.000000,0.0,21990.0,21990.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n335,StellarGraph,stellargraph/stellargraph,,graph,https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51.000000,2021-03-30 23:19:09.000000,2021-02-18 01:03:15.000000,263,233.0,710.0,1834,2515.0,StellarGraph - Machine Learning on Graphs.,32.0,25,True,2020-06-30 05:15:21.000000,1.2.1,25.0,stellargraph,,,,['tensorflow'],57.0,53.0,https://pypi.org/project/stellargraph,2020-06-30 05:10:43.000000,4.0,5843.0,5843.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n336,polyglot,aboSamoor/polyglot,,nlp,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,GPL-3.0,2014-06-30 02:07:45.000000,2020-10-27 10:55:53.000000,2020-09-22 22:35:28.000000,294,132.0,64.0,1807,271.0,Multilingual text (NLP) processing toolkit.,26.0,25,False,2016-07-03 20:05:42.000000,16.7.4,8.0,polyglot,,,,,599.0,469.0,https://pypi.org/project/polyglot,2016-07-03 20:05:42.000000,130.0,63585.0,63585.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n337,pytorch-optimizer,jettify/pytorch-optimizer,,pytorch-utils,https://github.com/jettify/pytorch-optimizer,https://github.com/jettify/pytorch-optimizer,Apache-2.0,2020-01-03 03:16:39.000000,2021-04-05 10:44:43.000000,2021-04-05 10:43:19.000000,169,10.0,25.0,1797,372.0,torch-optimizer -- collection of optimizers for Pytorch.,19.0,25,True,2021-01-01 16:51:15.000000,0.1.0,19.0,torch_optimizer,,,,['pytorch'],160.0,160.0,https://pypi.org/project/torch_optimizer,2021-01-01 16:51:15.000000,0.0,35717.0,35717.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n338,pgmpy,pgmpy/pgmpy,,probabilistics,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000000,2021-04-05 16:04:46.000000,2021-04-05 16:04:46.000000,567,232.0,501.0,1754,6.0,Python Library for learning (Structure and Parameter) and inference (Statistical and Causal) in Bayesian Networks.,91.0,25,True,2021-03-31 09:08:49.000000,0.1.14,13.0,pgmpy,,,,,217.0,205.0,https://pypi.org/project/pgmpy,2021-03-31 07:30:01.000000,12.0,31089.0,31094.0,,,,,,,,3.0,59.0,,,,,,,,,,,,,,,,,,,,,\n339,swifter,jmcarpenter2/swifter,,data-containers,https://github.com/jmcarpenter2/swifter,https://github.com/jmcarpenter2/swifter,MIT,2018-04-07 21:37:19.000000,2021-04-05 23:39:32.730000,2020-12-19 19:11:44.000000,76,17.0,76.0,1593,423.0,A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner.,14.0,25,True,2020-10-11 22:42:57.000000,1.0.7,71.0,swifter,conda-forge/swifter,,,['pandas'],342.0,310.0,https://pypi.org/project/swifter,2020-10-11 22:42:57.000000,32.0,94657.0,98387.0,https://anaconda.org/conda-forge/swifter,2021-04-05 23:39:32.730000,89537.0,,,,,3.0,,2.0,,,,,,,,,,,,,,,,,,,,\n340,tslearn,tslearn-team/tslearn,,time-series-data,https://github.com/tslearn-team/tslearn,https://github.com/tslearn-team/tslearn,BSD-2-Clause,2017-05-04 13:08:13.000000,2021-03-16 22:42:37.000000,2021-01-25 15:18:03.000000,228,65.0,169.0,1546,,A machine learning toolkit dedicated to time-series data.,29.0,25,True,2021-01-25 15:19:11.000000,0.5.0.5,92.0,tslearn,conda-forge/tslearn,,,['sklearn'],234.0,212.0,https://pypi.org/project/tslearn,2021-01-25 15:28:45.000000,22.0,71044.0,76441.0,https://anaconda.org/conda-forge/tslearn,2021-01-25 17:55:55.394000,199707.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n341,Ax,facebook/Ax,,hyperopt,https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000000,2021-04-08 07:14:12.000000,2021-04-08 07:14:08.000000,148,42.0,200.0,1461,1062.0,Adaptive Experimentation Platform.,96.0,25,True,2021-02-24 16:59:13.000000,0.1.20,21.0,ax-platform,,,,['pytorch'],155.0,151.0,https://pypi.org/project/ax-platform,2021-02-24 16:59:13.000000,4.0,46755.0,46755.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n342,Elephas,maxpumperla/elephas,,distributed-ml,https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19.000000,2021-04-08 05:00:20.000000,2021-03-28 19:24:06.000000,288,22.0,122.0,1460,476.0,Distributed Deep learning with Keras & Spark.,27.0,25,True,2021-04-03 22:28:48.000000,2.0.0,20.0,elephas,,,,\"['keras', 'spark']\",40.0,37.0,https://pypi.org/project/elephas,2021-04-03 22:28:48.000000,3.0,16272.0,16272.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n343,mtcnn,ipazc/mtcnn,,image,https://github.com/ipazc/mtcnn,https://github.com/ipazc/mtcnn,MIT,2018-01-05 04:08:32.000000,2021-02-03 15:49:06.000000,2021-01-13 23:50:58.000000,386,55.0,36.0,1460,55.0,\"MTCNN face detection implementation for TensorFlow, as a PIP package.\",14.0,25,True,2019-11-14 17:37:05.000000,0.1.0,10.0,mtcnn,,,,['tensorflow'],1023.0,981.0,https://pypi.org/project/mtcnn,2019-11-14 17:37:05.000000,42.0,18168.0,18168.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n344,chainercv,chainer/chainercv,,image,https://github.com/chainer/chainercv,https://github.com/chainer/chainercv,MIT,2017-02-13 04:15:10.000000,2020-02-03 01:27:17.000000,2020-01-07 11:48:31.000000,318,54.0,168.0,1439,4930.0,ChainerCV: a Library for Deep Learning in Computer Vision.,39.0,25,False,2019-06-12 11:55:02.000000,0.13.1,24.0,chainercv,,,,,291.0,231.0,https://pypi.org/project/chainercv,2019-06-12 11:55:40.000000,60.0,4690.0,4690.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n345,IB-insync,erdewit/ib_insync,,financial-data,https://github.com/erdewit/ib_insync,https://github.com/erdewit/ib_insync,BSD-2-Clause,2017-07-12 12:09:24.000000,2021-03-31 17:24:15.000000,2021-03-31 17:24:12.000000,411,2.0,298.0,1359,566.0,Python sync/async framework for Interactive Brokers API.,28.0,25,True,2020-11-03 13:37:57.000000,0.9.64,89.0,ib_insync,conda-forge/ib-insync,,,,12.0,,https://pypi.org/project/ib_insync,2020-11-03 13:37:57.000000,12.0,10752.0,11171.0,https://anaconda.org/conda-forge/ib-insync,2021-02-25 02:28:19.625000,8814.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n346,Fairness 360,Trusted-AI/AIF360,,interpretability,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15.000000,2021-03-10 20:05:40.000000,2021-03-10 20:05:40.000000,420,39.0,52.0,1333,318.0,\"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..\",43.0,25,True,2021-03-04 18:11:34.000000,0.4.0,9.0,aif360,,,,,79.0,75.0,https://pypi.org/project/aif360,2021-03-04 18:11:34.000000,4.0,6324.0,6324.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n347,ViZDoom,mwydmuch/ViZDoom,,reinforcement-learning,https://github.com/mwydmuch/ViZDoom,https://github.com/mwydmuch/ViZDoom,MIT,2015-06-26 18:38:23.000000,2021-02-09 10:35:01.000000,2021-02-09 10:35:01.000000,298,87.0,329.0,1185,1464.0,Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information.,44.0,25,True,2020-10-29 15:56:20.000000,1.1.8,19.0,vizdoom,,,,,136.0,112.0,https://pypi.org/project/vizdoom,2020-10-29 15:56:20.000000,24.0,1532.0,1707.0,,,,,,,,2.0,10735.0,,,,,,,,,,,,,,,,,,,,,\n348,PyCUDA,inducer/pycuda,,gpu-utilities,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000000,2021-04-03 22:29:00.000000,2021-04-03 22:28:11.000000,225,54.0,135.0,1119,,\"CUDA integration for Python, plus shiny features.\",70.0,25,True,2019-08-12 04:15:37.000000,2019.1.2,47.0,pycuda,,,,,1081.0,789.0,https://pypi.org/project/pycuda,2021-04-03 22:28:54.000000,292.0,25380.0,25380.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n349,TabPy,tableau/TabPy,,others,https://github.com/tableau/TabPy,https://github.com/tableau/TabPy,MIT,2016-09-27 21:26:03.000000,2021-02-04 23:28:56.000000,2021-02-04 23:28:56.000000,387,10.0,263.0,1051,828.0,Execute Python code on the fly and display results in Tableau visualizations:.,40.0,25,True,2020-11-11 19:06:41.000000,2.3.1,24.0,tabpy,,,,,53.0,53.0,https://pypi.org/project/tabpy,2020-11-11 19:06:41.000000,0.0,33021.0,33021.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n350,ArcGIS API,Esri/arcgis-python-api,,geospatial-data,https://github.com/Esri/arcgis-python-api,https://github.com/Esri/arcgis-python-api,Apache-2.0,2016-03-16 01:09:14.000000,2021-04-08 10:12:09.000000,2021-03-30 01:53:21.000000,725,115.0,221.0,1001,3052.0,Documentation and samples for ArcGIS API for Python.,61.0,25,True,2021-04-07 11:07:15.000000,1.8.5,27.0,arcgis,,esridocker/arcgis-api-python-notebook,,,20.0,,https://pypi.org/project/arcgis,2021-04-07 11:07:15.000000,20.0,36007.0,36076.0,,,,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,2020-03-06 00:53:45.164342,32.0,4237.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n351,arviz,arviz-devs/arviz,,interpretability,https://github.com/arviz-devs/arviz,https://github.com/arviz-devs/arviz,Apache-2.0,2015-07-29 11:51:10.000000,2021-04-07 15:20:47.000000,2021-04-07 12:10:28.000000,197,119.0,461.0,975,,Exploratory analysis of Bayesian models with Python.,77.0,25,True,2021-02-21 19:39:56.000000,0.11.2,23.0,arviz,conda-forge/arviz,,,,830.0,794.0,https://pypi.org/project/arviz,2021-02-21 19:39:56.000000,36.0,235056.0,245464.0,https://anaconda.org/conda-forge/arviz,2021-02-21 21:30:03.812000,239334.0,,,,,2.0,98.0,,,,,,,,,,,,,,,,,,,,,\n352,Streamz,python-streamz/streamz,,time-series-data,https://github.com/python-streamz/streamz,https://github.com/python-streamz/streamz,BSD-3-Clause,2017-04-04 21:45:49.000000,2021-04-05 16:03:05.000000,2021-04-05 16:03:05.000000,116,91.0,131.0,930,742.0,Real-time stream processing for python.,39.0,25,True,2021-01-14 20:47:38.000000,0.6.2,15.0,streamz,conda-forge/streamz,,,,214.0,198.0,https://pypi.org/project/streamz,2021-01-14 20:47:38.000000,16.0,5792.0,9046.0,https://anaconda.org/conda-forge/streamz,2021-01-15 14:38:35.032000,139964.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n353,PySAL,pysal/pysal,,geospatial-data,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42.000000,2021-02-08 21:30:44.240000,2021-02-01 00:35:48.000000,242,58.0,584.0,835,4119.0,PySAL: Python Spatial Analysis Library Meta-Package.,71.0,25,True,2021-02-02 02:59:42.000000,2.4.0,25.0,pysal,conda-forge/pysal,,,,36.0,,https://pypi.org/project/pysal,2021-02-02 02:59:42.000000,36.0,15772.0,22901.0,https://anaconda.org/conda-forge/pysal,2021-02-08 21:30:44.240000,406392.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n354,ffn,pmorissette/ffn,,financial-data,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09.000000,2021-03-24 20:44:31.000000,2021-03-24 20:44:31.000000,193,18.0,64.0,823,347.0,ffn - a financial function library for Python.,26.0,25,True,2021-02-01 04:38:52.000000,0.3.5,26.0,ffn,,,,,153.0,111.0,https://pypi.org/project/ffn,2021-02-01 04:35:47.000000,42.0,19356.0,19356.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n355,ktrain,amaiya/ktrain,,ml-frameworks,https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39.000000,2021-04-06 13:31:29.000000,2021-03-26 17:14:39.000000,191,10.0,320.0,787,2266.0,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,12.0,25,True,2021-03-26 17:15:23.000000,0.26.2,150.0,ktrain,,,,['tensorflow'],145.0,144.0,https://pypi.org/project/ktrain,2021-03-26 17:14:10.000000,1.0,16044.0,16044.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n356,Singer,singer-io/getting-started,,data-loading,https://github.com/singer-io/getting-started,https://github.com/singer-io/getting-started,AGPL-3.0,2016-10-31 16:53:56.000000,2021-03-22 20:41:58.000000,2020-12-04 20:57:19.000000,101,20.0,18.0,745,173.0,\"Standard for moving data between databases, web APIs, files, queues, and just about anything else you can think of.\",26.0,25,False,2021-02-25 20:41:17.000000,5.11.0,104.0,singer-python,,,,,300.0,,https://pypi.org/project/singer-python,2021-03-22 20:41:58.000000,300.0,74868.0,74868.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n357,Hail,hail-is/hail,,medical-data,https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000000,2021-04-08 14:37:17.000000,2021-04-08 14:19:08.000000,182,323.0,1940.0,710,7617.0,Scalable genomic data analysis.,73.0,25,True,2021-03-11 20:43:46.000000,0.2.64,84.0,hail,,,,['spark'],33.0,33.0,https://pypi.org/project/hail,2021-03-11 20:43:51.000000,0.0,9055.0,9055.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n358,dask-ml,dask/dask-ml,,distributed-ml,https://github.com/dask/dask-ml,https://github.com/dask/dask-ml,BSD-3-Clause,2017-06-15 15:56:06.000000,2021-04-07 15:22:11.000000,2021-04-04 22:25:25.000000,189,186.0,216.0,698,,Scalable Machine Learning with Dask.,64.0,25,True,2021-01-30 16:49:37.000000,1.8.0,27.0,dask-ml,conda-forge/dask-ml,,,,413.0,371.0,https://pypi.org/project/dask-ml,2021-01-30 16:49:37.000000,42.0,59415.0,64254.0,https://anaconda.org/conda-forge/dask-ml,2021-01-30 20:07:36.819000,203253.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n359,Satpy,pytroll/satpy,,geospatial-data,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000000,2021-04-06 00:30:01.000000,2021-04-06 00:30:01.000000,196,312.0,317.0,688,8577.0,Python package for earth-observing satellite data processing.,106.0,25,False,2021-03-26 08:31:14.000000,0.27.0,65.0,satpy,conda-forge/satpy,,,,47.0,41.0,https://pypi.org/project/satpy,2021-03-26 08:31:14.000000,6.0,1242.0,3015.0,https://anaconda.org/conda-forge/satpy,2021-03-26 11:35:33.340000,58525.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n360,PDPbox,SauceCat/PDPbox,,data-viz,https://github.com/SauceCat/PDPbox,https://github.com/SauceCat/PDPbox,MIT,2017-06-26 08:01:54.000000,2021-03-14 19:37:51.465000,2021-03-14 16:01:01.000000,85,19.0,38.0,560,227.0,python partial dependence plot toolbox.,7.0,25,True,2021-03-14 16:21:17.000000,0.2.1,3.0,pdpbox,conda-forge/pdpbox,,,,396.0,362.0,https://pypi.org/project/pdpbox,2021-03-14 16:21:17.000000,34.0,70409.0,70729.0,https://anaconda.org/conda-forge/pdpbox,2021-03-14 19:37:51.465000,6739.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n361,tensorflow-upstream,ROCmSoftwarePlatform/tensorflow-upstream,,ml-frameworks,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,Apache-2.0,2018-04-09 21:24:50.000000,2021-04-08 13:59:31.000000,2021-04-08 05:29:30.000000,66,55.0,240.0,554,79524.0,TensorFlow ROCm port.,3620.0,25,True,2021-03-29 03:10:02.000000,2.4.1,61.0,tensorflow-rocm,,,,['tensorflow'],,,https://pypi.org/project/tensorflow-rocm,2021-03-29 03:10:02.000000,,4319.0,4319.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,,,,\n362,mpi4py,mpi4py/mpi4py,,distributed-ml,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-3-Clause,2013-09-05 14:44:25.000000,2021-04-08 07:26:13.000000,2021-03-31 12:46:41.000000,64,9.0,14.0,395,2246.0,Python bindings for MPI.,16.0,25,True,2020-07-27 06:40:19.000000,3.0.3,13.0,mpi4py,conda-forge/mpi4py,,,,752.0,,https://pypi.org/project/mpi4py,2019-11-04 13:05:10.000000,752.0,183150.0,193993.0,https://anaconda.org/conda-forge/mpi4py,2021-01-19 17:48:43.682000,590926.0,,,,,2.0,898.0,,,,,,,,,,,,,,,,,,,,,\n363,PyNNDescent,lmcinnes/pynndescent,,nn-search,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000000,2021-03-12 04:15:55.000000,2021-03-12 04:15:47.000000,49,28.0,34.0,382,488.0,A Python nearest neighbor descent for approximate nearest neighbors.,13.0,25,True,2021-02-08 20:03:04.000000,0.5.2,21.0,pynndescent,conda-forge/pynndescent,,,,364.0,358.0,https://pypi.org/project/pynndescent,2021-02-08 20:03:04.000000,6.0,279689.0,284103.0,https://anaconda.org/conda-forge/pynndescent,2021-02-09 04:30:06.804000,97111.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n364,python-soundfile,bastibe/python-soundfile,,audio,https://github.com/bastibe/python-soundfile,https://github.com/bastibe/python-soundfile,BSD-3-Clause,2013-08-27 13:36:52.000000,2021-01-13 07:52:51.000000,2020-12-01 18:42:47.000000,42,57.0,90.0,377,493.0,\"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.\",19.0,25,True,2019-12-04 10:03:39.000000,0.10.3post1,7.0,soundfile,,,,,7014.0,6274.0,https://pypi.org/project/soundfile,2019-11-27 12:16:19.000000,740.0,697613.0,697639.0,,,,,,,,3.0,2294.0,,,,,,,,,,,,,,,,,,,,,\n365,hvPlot,holoviz/hvplot,,data-viz,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000000,2021-04-07 19:34:11.000000,2021-04-07 19:34:11.000000,50,119.0,231.0,376,373.0,\"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.\",25.0,25,True,2021-03-04 17:35:32.000000,0.7.1,13.0,hvplot,conda-forge/hvplot,,,,564.0,534.0,https://pypi.org/project/hvplot,2021-03-03 21:16:38.000000,30.0,24851.0,27266.0,https://anaconda.org/conda-forge/hvplot,2021-03-04 01:00:43.938000,77281.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n366,datalad,datalad/datalad,,others,https://github.com/datalad/datalad,https://github.com/datalad/datalad,MIT,2013-11-01 19:40:08.000000,2021-04-08 13:51:15.000000,2021-04-07 22:41:35.000000,73,705.0,2286.0,236,13610.0,\"Keep code, data, containers under control with git and git-annex.\",37.0,25,True,2021-04-01 16:01:27.000000,0.14.1,65.0,datalad,conda-forge/datalad,,,,26.0,,https://pypi.org/project/datalad,2021-04-01 15:57:21.000000,26.0,5658.0,8528.0,https://anaconda.org/conda-forge/datalad,2021-04-02 22:54:02.661000,106202.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n367,mmdnn,Microsoft/MMdnn,,model-serialisation,https://github.com/microsoft/MMdnn,https://github.com/microsoft/MMdnn,MIT,2017-08-16 08:03:52.000000,2021-03-01 14:17:24.000000,2020-08-14 02:32:30.000000,939,307.0,287.0,5284,1083.0,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,85.0,24,True,2020-07-24 06:34:39.000000,0.3.1,12.0,mmdnn,,,,,54.0,51.0,https://pypi.org/project/mmdnn,2020-07-24 06:34:39.000000,3.0,1122.0,1203.0,,,,,,,,2.0,3335.0,,,,,,,,,,,,,,,,,,,,,\n368,Face Alignment,1adrianb/face-alignment,,image,https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44.000000,2021-03-03 00:56:24.000000,2021-03-03 00:56:24.000000,1037,36.0,198.0,4821,198.0,2D and 3D Face alignment library build using pytorch.,22.0,24,True,2020-12-22 21:34:55.000000,1.3.3,9.0,face-alignment,,,,['pytorch'],12.0,,https://pypi.org/project/face-alignment,2020-12-22 21:34:55.000000,12.0,8062.0,8062.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n369,Augmentor,mdbloice/Augmentor,,image,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55.000000,2020-11-10 05:20:01.000000,2020-03-09 11:32:02.000000,805,118.0,67.0,4374,511.0,Image augmentation library in Python for machine learning.,22.0,24,False,2020-01-17 11:59:53.000000,0.2.8,20.0,Augmentor,,,,,329.0,287.0,https://pypi.org/project/Augmentor,2020-01-17 11:59:53.000000,42.0,6774.0,6774.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n370,sktime,alan-turing-institute/sktime,,time-series-data,https://github.com/alan-turing-institute/sktime,https://github.com/alan-turing-institute/sktime,BSD-3-Clause,2018-11-06 15:08:24.000000,2021-04-08 13:40:39.000000,2021-04-07 10:59:02.000000,505,119.0,283.0,3811,,A unified framework for machine learning with time series.,81.0,24,True,2021-02-06 11:40:49.000000,0.5.3,13.0,sktime,,,,['sklearn'],134.0,134.0,https://pypi.org/project/sktime,2021-02-06 11:40:49.000000,0.0,40988.0,40990.0,,,,,,,,2.0,57.0,,,,,,,,,,,,,,,,,,,,,\n371,Lasagne,Lasagne/Lasagne,,ml-frameworks,https://github.com/Lasagne/Lasagne,https://github.com/Lasagne/Lasagne,MIT,2014-09-11 15:31:41.000000,2019-11-20 20:28:31.000000,2019-11-20 20:28:30.000000,983,139.0,402.0,3777,1161.0,Lightweight library to build and train neural networks in Theano.,72.0,24,False,2015-08-13 21:00:09.000000,0.1,1.0,lasagne,,,,,1307.0,801.0,https://pypi.org/project/lasagne,2015-08-13 21:10:53.000000,506.0,2631.0,2631.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n372,torchdiffeq,rtqichen/torchdiffeq,,pytorch-utils,https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25.000000,2021-04-05 11:26:15.000000,2021-03-23 19:55:23.000000,594,23.0,110.0,3448,216.0,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,19.0,24,True,2021-02-06 20:33:16.000000,0.2.1,5.0,torchdiffeq,,,,['pytorch'],87.0,87.0,https://pypi.org/project/torchdiffeq,2021-02-06 20:33:16.000000,0.0,2742.0,2742.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n373,ArrayFire,arrayfire/arrayfire,,gpu-utilities,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000000,2021-04-08 10:28:08.000000,2021-03-23 02:59:03.000000,475,239.0,1224.0,3340,5708.0,ArrayFire: a general purpose GPU library.,80.0,24,True,2021-01-08 21:41:09.000000,3.8.0,30.0,arrayfire,,,,,8.0,,https://pypi.org/project/arrayfire,2021-03-05 17:36:30.000000,8.0,1293.0,1306.0,,,,,,,,2.0,939.0,,,,,,,,,,,,,,,,,,,,,\n374,xLearn,aksnzhy/xlearn,,ml-frameworks,https://github.com/aksnzhy/xlearn,https://github.com/aksnzhy/xlearn,Apache-2.0,2017-06-10 08:09:31.000000,2021-01-28 14:17:44.000000,2020-03-03 10:12:35.000000,515,190.0,107.0,2864,1340.0,\"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..\",30.0,24,False,2019-04-25 02:10:05.000000,0.4.4,15.0,xlearn,,,,,46.0,44.0,https://pypi.org/project/xlearn,2018-12-04 11:05:06.000000,2.0,3518.0,3584.0,,,,,,,,3.0,2444.0,,,,,,,,,,,,,,,,,,,,,\n375,keras-vis,raghakot/keras-vis,,interpretability,https://github.com/raghakot/keras-vis,https://github.com/raghakot/keras-vis,MIT,2016-11-11 23:27:34.000000,2020-04-20 01:03:13.000000,2020-04-20 01:03:12.000000,595,114.0,99.0,2808,195.0,Neural network visualization toolkit for keras.,10.0,24,True,2017-07-06 04:55:04.000000,0.4.1,11.0,keras-vis,,,,['tensorflow'],889.0,833.0,https://pypi.org/project/keras-vis,2017-07-06 04:55:04.000000,56.0,2782.0,2782.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n376,DoWhy,Microsoft/dowhy,,interpretability,https://github.com/microsoft/dowhy,https://github.com/microsoft/dowhy,MIT,2018-05-31 13:07:04.000000,2021-04-06 14:33:58.000000,2021-03-19 11:15:56.000000,402,22.0,90.0,2805,438.0,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,39.0,24,True,2021-03-03 03:44:46.000000,0.6,6.0,dowhy,conda-forge/dowhy,,,,31.0,31.0,https://pypi.org/project/dowhy,2021-03-03 03:45:16.000000,0.0,17912.0,18046.0,https://anaconda.org/conda-forge/dowhy,2020-12-13 07:46:12.761000,1465.0,,,,,2.0,23.0,,,,,,,,,,,,,,,,,,,,,\n377,einops,arogozhnikov/einops,,ml-frameworks,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08.000000,2021-04-03 01:17:15.000000,2021-04-03 01:17:15.000000,92,21.0,44.0,2714,305.0,\"Deep learning operations reinvented (for pytorch, tensorflow, jax and others).\",11.0,24,True,2020-09-08 08:33:29.000000,0.3,3.0,einops,conda-forge/einops,,,,403.0,393.0,https://pypi.org/project/einops,2020-09-08 08:21:26.000000,10.0,80139.0,80371.0,https://anaconda.org/conda-forge/einops,2020-10-15 20:10:19.681000,4419.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n378,Arctic,man-group/arctic,,data-containers,https://github.com/man-group/arctic,https://github.com/man-group/arctic,LGPL-2.1,2015-05-29 13:37:30.000000,2021-04-08 13:03:47.000000,2021-01-26 00:14:21.000000,439,88.0,431.0,2233,1067.0,Arctic is a high performance datastore for numeric data.,71.0,24,True,2020-12-01 23:17:26.000000,1.79.4,83.0,arctic,conda-forge/arctic,,,,151.0,109.0,https://pypi.org/project/arctic,2020-12-01 23:16:12.000000,42.0,6582.0,7157.0,https://anaconda.org/conda-forge/arctic,2019-12-16 08:57:24.231000,13216.0,,,,,3.0,113.0,,,,,,,,,,,,,,,,,,,,,\n379,D-Tale,man-group/dtale,,data-viz,https://github.com/man-group/dtale,https://github.com/man-group/dtale,LGPL-2.1,2019-07-15 09:34:48.000000,2021-04-07 22:06:17.000000,2021-04-04 15:40:16.000000,157,31.0,291.0,2181,385.0,Visualizer for pandas data structures.,15.0,24,True,2021-03-31 02:47:15.000000,1.41.1,112.0,dtale,conda-forge/dtale,,,\"['pandas', 'jupyter']\",121.0,121.0,https://pypi.org/project/dtale,2021-03-31 02:45:27.000000,0.0,12915.0,16315.0,https://anaconda.org/conda-forge/dtale,2021-03-31 03:08:24.029000,47609.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n380,fastNLP,fastnlp/fastNLP,,nlp,https://github.com/fastnlp/fastNLP,https://github.com/fastnlp/fastNLP,Apache-2.0,2018-03-07 13:30:20.000000,2021-02-23 11:04:05.000000,2021-02-23 11:04:05.000000,359,16.0,128.0,2086,1707.0,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,49.0,24,True,2020-11-06 15:31:29.000000,0.6.0,10.0,fastnlp,,,,,29.0,28.0,https://pypi.org/project/fastnlp,2019-02-04 02:35:37.000000,1.0,1027.0,1028.0,,,,,,,,3.0,54.0,,,,,,,,,,,,,,,,,,,,,\n381,SRU,asappresearch/sru,,pytorch-utils,https://github.com/asappresearch/sru,https://github.com/asappresearch/sru,MIT,2017-08-28 20:37:41.000000,2021-04-04 18:48:21.000000,2021-03-19 22:29:41.000000,286,49.0,62.0,1930,383.0,Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755).,21.0,24,True,2020-12-17 19:40:55.000000,2.6.0-rc1,24.0,sru,,,,['pytorch'],17.0,15.0,https://pypi.org/project/sru,2021-03-18 18:03:56.000000,2.0,2378.0,2378.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n382,pytorch-nlp,PetrochukM/PyTorch-NLP,,nlp,https://github.com/PetrochukM/PyTorch-NLP,https://github.com/PetrochukM/PyTorch-NLP,BSD-3-Clause,2018-02-25 05:00:36.000000,2021-04-08 06:03:29.000000,2021-01-26 22:23:57.000000,223,14.0,49.0,1890,445.0,Basic Utilities for PyTorch Natural Language Processing (NLP).,17.0,24,True,2019-11-04 05:16:00.000000,0.5.0,19.0,pytorch-nlp,,,,['pytorch'],215.0,197.0,https://pypi.org/project/pytorch-nlp,2019-11-04 04:35:18.000000,18.0,5250.0,5250.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n383,python_speech_features,jameslyons/python_speech_features,,audio,https://github.com/jameslyons/python_speech_features,https://github.com/jameslyons/python_speech_features,MIT,2013-10-31 02:42:08.000000,2020-12-31 13:27:02.000000,2020-12-31 13:27:01.000000,546,23.0,49.0,1871,120.0,This library provides common speech features for ASR including MFCCs and filterbank energies.,18.0,24,True,2020-01-14 14:12:10.000000,0.6.1,6.0,python_speech_features,,,,,300.0,,https://pypi.org/project/python_speech_features,2017-08-16 01:46:13.000000,300.0,75079.0,75079.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n384,Alphalens,quantopian/alphalens,,financial-data,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15.000000,2020-09-05 16:48:14.000000,2020-04-27 18:40:41.000000,691,38.0,145.0,1843,522.0,Performance analysis of predictive (alpha) stock factors.,25.0,24,True,2020-04-30 15:42:52.000000,0.4.0,10.0,alphalens,conda-forge/alphalens,,,,398.0,370.0,https://pypi.org/project/alphalens,2020-04-27 21:03:10.000000,28.0,2756.0,3050.0,https://anaconda.org/conda-forge/alphalens,2020-05-16 13:52:44.922000,11183.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n385,efficientnet,qubvel/efficientnet,,tensorflow-utils,https://github.com/qubvel/efficientnet,https://github.com/qubvel/efficientnet,Apache-2.0,2019-05-30 20:21:09.000000,2020-12-10 07:02:58.000000,2020-09-15 16:19:36.000000,398,56.0,55.0,1768,64.0,Implementation of EfficientNet model. Keras and TensorFlow Keras.,8.0,24,True,2020-09-15 16:26:00.000000,1.1.1,9.0,efficientnet,,,,['tensorflow'],563.0,559.0,https://pypi.org/project/efficientnet,2020-09-15 16:26:00.000000,4.0,88392.0,95509.0,,,,,,,,3.0,163693.0,,,,,,,,,,,,,,,,,,,,,\n386,Spektral,danielegrattarola/spektral,,graph,https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10.000000,2021-04-08 07:20:52.000000,2021-03-24 08:34:28.000000,212,22.0,119.0,1689,945.0,Graph Neural Networks with Keras and Tensorflow 2.,16.0,24,True,2021-03-20 11:39:58.000000,1.0.6,29.0,spektral,,,,\"['tensorflow\"\"']\",44.0,44.0,https://pypi.org/project/spektral,2021-03-20 11:39:58.000000,0.0,3640.0,3640.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n387,HyperTools,ContextLab/hypertools,,data-viz,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25.000000,2021-01-06 14:11:39.000000,2021-01-06 14:11:38.000000,152,66.0,122.0,1622,1591.0,A Python toolbox for gaining geometric insights into high-dimensional data.,21.0,24,True,2020-10-02 21:41:53.000000,0.6.3,19.0,hypertools,,,,,118.0,109.0,https://pypi.org/project/hypertools,2020-10-02 21:41:53.000000,9.0,4294.0,4294.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n388,category_encoders,scikit-learn-contrib/category_encoders,,sklearn-utils,https://github.com/scikit-learn-contrib/category_encoders,https://github.com/scikit-learn-contrib/category_encoders,BSD-3-Clause,2015-11-29 19:32:37.000000,2020-11-10 15:17:22.000000,2020-07-31 10:43:44.000000,304,73.0,136.0,1617,671.0,A library of sklearn compatible categorical variable encoders.,37.0,24,True,2020-04-29 02:09:51.000000,2.2.2,19.0,category_encoders,conda-forge/category_encoders,,,['sklearn'],23.0,,https://pypi.org/project/category_encoders,2018-10-14 14:15:54.000000,23.0,306879.0,308612.0,https://anaconda.org/conda-forge/category_encoders,2020-04-29 22:37:35.948000,98816.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n389,scattertext,JasonKessler/scattertext,,nlp,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12.000000,2021-03-08 07:54:17.000000,2021-03-08 07:43:55.000000,213,17.0,62.0,1541,346.0,Beautiful visualizations of how language differs among document types.,11.0,24,True,2021-03-08 07:54:17.000000,0.1.2,131.0,scattertext,conda-forge/scattertext,,,,180.0,164.0,https://pypi.org/project/scattertext,2021-03-08 07:54:17.000000,16.0,2976.0,4057.0,https://anaconda.org/conda-forge/scattertext,2021-01-18 15:00:35.497000,47564.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n390,Pandaral·lel,nalepae/pandarallel,,data-containers,https://github.com/nalepae/pandarallel,https://github.com/nalepae/pandarallel,BSD-3-Clause,2019-03-10 11:58:29.000000,2021-02-04 21:35:01.000000,2021-02-04 21:27:26.000000,98,68.0,55.0,1493,114.0,A simple and efficient tool to parallelize Pandas operations on all availableCPUs.,14.0,24,True,2021-02-04 21:35:01.000000,1.5.2,29.0,pandarallel,,,,\"['pandas', 'jupyter']\",173.0,173.0,https://pypi.org/project/pandarallel,2021-02-04 21:35:01.000000,0.0,400828.0,400828.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n391,dtreeviz,parrt/dtreeviz,,interpretability,https://github.com/parrt/dtreeviz,https://github.com/parrt/dtreeviz,MIT,2018-08-13 21:45:15.000000,2021-04-05 19:35:08.000000,2021-04-05 19:30:34.000000,197,17.0,77.0,1462,363.0,A python library for decision tree visualization and model interpretation.,16.0,24,True,2021-03-16 21:49:18.000000,1.2,23.0,dtreeviz,,,,,126.0,122.0,https://pypi.org/project/dtreeviz,2021-04-05 19:35:08.000000,4.0,30199.0,30199.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n392,sklearn-contrib-lightning,scikit-learn-contrib/lightning,,sklearn-utils,https://github.com/scikit-learn-contrib/lightning,https://github.com/scikit-learn-contrib/lightning,BSD-3-Clause,2012-01-11 13:53:52.000000,2021-03-14 21:31:42.000000,2021-03-14 21:31:42.000000,192,47.0,36.0,1442,701.0,\"Large-scale linear classification, regression and ranking in Python.\",17.0,24,True,2020-12-16 17:26:49.000000,0.6.0,8.0,sklearn-contrib-lightning,conda-forge/sklearn-contrib-lightning,,,['sklearn'],91.0,81.0,https://pypi.org/project/sklearn-contrib-lightning,2020-12-16 17:26:49.000000,10.0,479.0,2879.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2020-12-20 22:58:20.890000,136840.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n393,bonobo,python-bonobo/bonobo,,data-pipelines,https://github.com/python-bonobo/bonobo,https://github.com/python-bonobo/bonobo,Apache-2.0,2016-12-09 04:03:23.000000,2021-03-29 17:27:42.000000,2021-03-10 15:44:00.000000,114,66.0,108.0,1412,978.0,Extract Transform Load for Python 3.5+.,37.0,24,True,2019-05-16 13:19:48.000000,0.6.4,38.0,bonobo,,,http://docs.bonobo-project.org/en/master/,,165.0,113.0,https://pypi.org/project/bonobo,2019-07-20 13:33:19.000000,52.0,9897.0,9897.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n394,TextAttack,QData/TextAttack,,adversarial,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000000,2021-04-05 18:11:22.000000,2021-04-05 18:11:22.000000,148,33.0,82.0,1335,1986.0,\"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP.\",33.0,24,True,2020-12-27 05:23:02.000000,0.2.15,35.0,textattack,,,,,20.0,20.0,https://pypi.org/project/textattack,2020-12-27 05:23:02.000000,0.0,1907.0,1907.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n395,sense2vec,explosion/sense2vec,,nlp,https://github.com/explosion/sense2vec,https://github.com/explosion/sense2vec,MIT,2016-01-23 22:15:49.000000,2021-03-03 09:08:52.000000,2021-03-03 09:08:52.000000,204,15.0,82.0,1204,451.0,Contextually-keyed word vectors.,15.0,24,True,2021-02-07 06:12:02.000000,2.0.0,21.0,sense2vec,conda-forge/sense2vec,,,,70.0,58.0,https://pypi.org/project/sense2vec,2021-02-07 06:12:02.000000,12.0,5081.0,6379.0,https://anaconda.org/conda-forge/sense2vec,2020-03-16 22:19:07.337000,17073.0,,,,,3.0,14408.0,,,,,,,,,,,,,,,,,,,,,\n396,modAL,modAL-python/modAL,,others,https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000000,2021-03-22 13:32:18.000000,2021-01-07 09:40:40.000000,182,48.0,50.0,1178,648.0,A modular active learning framework for Python.,14.0,24,True,2021-01-07 09:47:49.000000,0.4.1,12.0,modAL,,,,['sklearn'],67.0,59.0,https://pypi.org/project/modAL,2021-01-07 09:47:49.000000,8.0,1945.0,1945.0,,,,,,,,2.0,9.0,,,,,,,,,,,,,,,,,,,,,\n397,metric-learn,scikit-learn-contrib/metric-learn,,others,https://github.com/scikit-learn-contrib/metric-learn,https://github.com/scikit-learn-contrib/metric-learn,MIT,2013-11-02 08:29:47.000000,2021-04-07 09:14:27.000000,2020-08-04 01:35:39.000000,216,52.0,109.0,1131,263.0,Metric learning algorithms in Python.,19.0,24,True,2020-07-02 12:59:23.000000,0.6.2,10.0,metric-learn,,,,['sklearn'],148.0,130.0,https://pypi.org/project/metric-learn,2020-07-02 12:59:23.000000,18.0,10382.0,10382.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n398,garage,rlworkgroup/garage,,reinforcement-learning,https://github.com/rlworkgroup/garage,https://github.com/rlworkgroup/garage,MIT,2018-06-10 21:31:23.000000,2021-04-07 00:25:08.000000,2021-03-23 13:11:21.000000,211,205.0,779.0,1127,1203.0,A toolkit for reproducible reinforcement learning research.,73.0,24,True,2021-03-23 22:18:36.000000,2021.3.0,21.0,garage,,,,['tensorflow'],15.0,15.0,https://pypi.org/project/garage,2021-03-23 22:18:36.000000,0.0,721.0,721.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n399,livelossplot,stared/livelossplot,,ml-experiments,https://github.com/stared/livelossplot,https://github.com/stared/livelossplot,MIT,2018-03-10 17:51:43.000000,2021-02-07 23:25:37.000000,2021-02-07 23:24:31.000000,136,3.0,70.0,1064,323.0,\"Live training loss plot in Jupyter Notebook for Keras, PyTorch and others.\",16.0,24,True,2021-02-03 16:25:47.000000,0.5.4,24.0,livelossplot,,,,['jupyter'],489.0,479.0,https://pypi.org/project/livelossplot,2021-02-03 16:25:47.000000,10.0,36215.0,36215.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n400,bt,pmorissette/bt,,financial-data,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28.000000,2021-03-12 12:40:19.000000,2021-03-02 14:20:40.000000,264,54.0,173.0,1022,414.0,bt - flexible backtesting for Python.,21.0,24,True,2021-02-01 05:24:40.000000,0.2.8,24.0,bt,,,,,69.0,49.0,https://pypi.org/project/bt,2021-02-01 05:24:40.000000,20.0,6643.0,6643.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n401,Optimus,ironmussa/Optimus,,data-pipelines,https://github.com/ironmussa/Optimus,https://github.com/ironmussa/Optimus,Apache-2.0,2017-07-13 02:31:18.000000,2021-04-08 08:26:46.000000,2021-04-07 09:32:52.000000,191,139.0,168.0,993,3530.0,\"Agile Data Preparation Workflows madeeasy with dask, cudf, dask_cudf and pyspark.\",21.0,24,True,2020-07-19 03:05:40.000000,2.2.32,85.0,optimuspyspark,,,,['spark'],14.0,14.0,https://pypi.org/project/optimuspyspark,2019-05-30 02:22:54.000000,,10903.0,10903.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n402,spacy-transformers,explosion/spacy-transformers,,nlp,https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000000,2021-04-08 10:32:45.000000,2021-04-08 10:32:45.000000,109,48.0,,930,1325.0,\"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.\",15.0,24,True,2021-02-02 10:57:09.000000,1.0.1,44.0,spacy-transformers,,,,['spacy'],110.0,104.0,https://pypi.org/project/spacy-transformers,2021-02-02 09:54:58.000000,6.0,25266.0,25266.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n403,SciSpacy,allenai/scispacy,,nlp,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52.000000,2021-03-19 17:27:14.000000,2021-03-19 17:27:14.000000,129,21.0,152.0,872,925.0,A full spaCy pipeline and models for scientific/biomedical documents.,19.0,24,True,2021-02-12 22:56:06.000000,0.4.0,10.0,scispacy,,,,,241.0,229.0,https://pypi.org/project/scispacy,2021-02-12 22:56:06.000000,12.0,15429.0,15429.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n404,PennyLane,PennyLaneAI/PennyLane,,others,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000000,2021-04-08 15:14:52.000000,2021-04-08 07:54:16.000000,232,56.0,262.0,824,1856.0,PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum..,44.0,24,True,2021-02-12 15:50:08.000000,0.14.1,20.0,pennylane,,,,,20.0,,https://pypi.org/project/pennylane,2021-02-12 15:49:56.000000,20.0,5132.0,5133.0,,,,,,,,2.0,56.0,,,,,,,,,,,,,,,,,,,,,\n405,pyopencl,inducer/pyopencl,,others,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,MIT,2011-04-06 02:51:33.000000,2021-04-05 21:08:34.776000,2021-04-05 18:19:26.000000,216,59.0,214.0,799,,\"OpenCL integration for Python, plus shiny features.\",86.0,24,True,2021-04-03 02:30:03.000000,2021.1.5,61.0,pyopencl,conda-forge/pyopencl,,,,732.0,494.0,https://pypi.org/project/pyopencl,2021-04-05 18:20:12.000000,238.0,15450.0,22181.0,https://anaconda.org/conda-forge/pyopencl,2021-04-05 21:08:34.776000,363481.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n406,openTSNE,pavlin-policar/openTSNE,,data-viz,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000000,2021-03-13 08:53:24.000000,2021-03-12 14:14:57.000000,84,4.0,75.0,774,521.0,\"Extensible, parallel implementations of t-SNE.\",10.0,24,True,2021-01-08 12:20:43.000000,0.5.1,19.0,opentsne,conda-forge/opentsne,,,,199.0,195.0,https://pypi.org/project/opentsne,2021-01-08 12:20:43.000000,4.0,13713.0,16834.0,https://anaconda.org/conda-forge/opentsne,2021-01-08 15:19:01.004000,87394.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n407,empyrical,quantopian/empyrical,,financial-data,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52.000000,2020-10-14 13:28:13.625000,2020-10-14 13:22:39.000000,237,27.0,26.0,754,167.0,Common financial risk and performance metrics. Used by zipline and pyfolio.,22.0,24,True,2020-10-13 21:29:19.000000,0.5.5,21.0,empyrical,conda-forge/empyrical,,,,792.0,570.0,https://pypi.org/project/empyrical,2020-10-13 21:29:19.000000,222.0,42023.0,42302.0,https://anaconda.org/conda-forge/empyrical,2020-10-14 13:28:13.625000,10628.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n408,PySwarms,ljvmiranda921/pyswarms,,others,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45.000000,2021-04-02 00:26:48.000000,2021-04-02 00:26:45.000000,235,22.0,155.0,753,408.0,A research toolkit for particle swarm optimization in Python.,43.0,24,True,2021-01-03 21:34:15.000000,1.3.0,20.0,pyswarms,,,,,97.0,97.0,https://pypi.org/project/pyswarms,2021-01-03 21:34:15.000000,0.0,5101.0,5101.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n409,GPyOpt,SheffieldML/GPyOpt,,hyperopt,https://github.com/SheffieldML/GPyOpt,https://github.com/SheffieldML/GPyOpt,BSD-3-Clause,2014-08-13 09:58:25.000000,2020-11-17 10:32:02.000000,2020-11-05 15:16:04.000000,220,100.0,186.0,723,514.0,Gaussian Process Optimization using GPy.,49.0,24,True,2020-03-19 21:21:18.000000,1.2.6,11.0,gpyopt,,,,,218.0,182.0,https://pypi.org/project/gpyopt,2020-03-19 11:37:45.000000,36.0,10523.0,10523.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n410,mahotas,luispedro/mahotas,,image,https://github.com/luispedro/mahotas,https://github.com/luispedro/mahotas,MIT,2010-01-31 00:13:06.000000,2021-01-22 05:47:20.379000,2021-01-13 11:55:02.000000,132,16.0,57.0,678,1276.0,Computer Vision in Python.,30.0,24,True,2020-08-16 17:22:48.000000,1.4.11,57.0,mahotas,conda-forge/mahotas,,,,793.0,603.0,https://pypi.org/project/mahotas,2020-08-16 17:22:48.000000,190.0,39702.0,44108.0,https://anaconda.org/conda-forge/mahotas,2021-01-22 05:47:20.379000,268794.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n411,pyjanitor,ericmjl/pyjanitor,,others,https://github.com/pyjanitor-devs/pyjanitor,https://github.com/pyjanitor-devs/pyjanitor,MIT,2018-03-04 22:43:33.000000,2021-04-08 08:34:44.000000,2021-04-06 23:06:57.000000,123,98.0,284.0,652,1162.0,Clean APIs for data cleaning. Python implementation of R package Janitor.,88.0,24,True,2021-02-25 17:30:52.000000,0.20.13,49.0,pyjanitor,conda-forge/pyjanitor,,,,91.0,87.0,https://pypi.org/project/pyjanitor,2021-02-25 17:30:52.000000,4.0,5320.0,7615.0,https://anaconda.org/conda-forge/pyjanitor,2021-03-25 12:03:18.871000,84936.0,,,,,2.0,,,,,,,,,,,,,pyjanitor-devs/pyjanitor,,,,,,,,,\n412,SALib,SALib/SALib,,probabilistics,https://github.com/SALib/SALib,https://github.com/SALib/SALib,MIT,2013-05-30 13:38:10.000000,2021-03-29 00:39:45.000000,2021-03-27 23:50:47.000000,142,41.0,190.0,442,915.0,\"Sensitivity Analysis Library in Python (Numpy). Contains Sobol, Morris, Fractional Factorial and FAST methods.\",24.0,24,True,2020-11-12 17:13:12.000000,1.3.12,29.0,salib,conda-forge/salib,,,,44.0,,https://pypi.org/project/salib,2020-11-19 15:36:26.000000,44.0,29340.0,30492.0,https://anaconda.org/conda-forge/salib,2020-10-24 17:04:41.614000,61060.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n413,findspark,minrk/findspark,,others,https://github.com/minrk/findspark,https://github.com/minrk/findspark,BSD-3-Clause,2015-06-12 21:34:06.000000,2020-06-08 09:32:35.000000,2020-06-08 09:31:58.000000,68,11.0,8.0,394,67.0,Find pyspark to make it importable.,14.0,24,True,2020-06-08 09:32:23.000000,1.4.2,12.0,findspark,conda-forge/findspark,,,['spark'],1812.0,1610.0,https://pypi.org/project/findspark,2020-06-08 09:32:23.000000,202.0,1003464.0,1012477.0,https://anaconda.org/conda-forge/findspark,2018-07-06 12:57:33.438000,522783.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n414,sklearn-crfsuite,TeamHG-Memex/sklearn-crfsuite,,sklearn-utils,https://github.com/TeamHG-Memex/sklearn-crfsuite,https://github.com/TeamHG-Memex/sklearn-crfsuite,MIT,2015-11-26 21:15:41.000000,2020-12-30 08:00:27.000000,2019-12-05 08:17:22.000000,155,33.0,22.0,366,46.0,scikit-learn inspired API for CRFsuite.,6.0,24,False,2017-06-22 18:49:27.000000,0.3.6,9.0,sklearn-crfsuite,,,,['sklearn'],3000.0,2604.0,https://pypi.org/project/sklearn-crfsuite,2017-06-22 18:49:27.000000,396.0,105446.0,105446.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n415,messytables,okfn/messytables,,data-loading,https://github.com/okfn/messytables,https://github.com/okfn/messytables,MIT,2011-07-27 18:08:21.000000,2021-03-31 18:37:21.000000,2019-11-13 07:35:33.000000,101,34.0,55.0,364,601.0,Tools for parsing messy tabular data. This is now superseded by https://github.com/frictionlessdata/tabulator-py.,44.0,24,False,2017-02-09 12:37:47.000000,0.15.2,26.0,messytables,,,,,415.0,183.0,https://pypi.org/project/messytables,2017-02-09 12:37:47.000000,232.0,8157.0,8157.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n416,pyvips,libvips/pyvips,,image,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000000,2021-03-19 19:33:38.000000,2021-02-24 09:49:23.000000,26,73.0,141.0,308,392.0,python binding for libvips using cffi.,10.0,24,True,2020-12-18 11:44:57.000000,2.1.14,20.0,pyvips,conda-forge/pyvips,,,,191.0,169.0,https://pypi.org/project/pyvips,2020-12-18 11:44:57.000000,22.0,11443.0,11841.0,https://anaconda.org/conda-forge/pyvips,2020-10-14 10:02:33.542000,7969.0,,,,,3.0,,2.0,,,,,,,,,,,,,,,,,,,,\n417,ml-metadata,google/ml-metadata,,ml-experiments,https://github.com/google/ml-metadata,https://github.com/google/ml-metadata,Apache-2.0,2019-01-15 21:02:09.000000,2021-04-06 17:04:59.000000,2021-04-06 17:04:55.000000,63,17.0,43.0,300,485.0,For recording and retrieving metadata associated with ML developer and data scientist workflows.,12.0,24,True,2021-03-23 02:10:46.000000,0.29.0,25.0,ml-metadata,,,,,92.0,92.0,https://pypi.org/project/ml-metadata,2021-03-23 02:10:46.000000,0.0,328007.0,328056.0,,,,,,,,3.0,1244.0,,,,,,,,,,,,,,,,,,,,,\n418,pysparkling,svenkreiss/pysparkling,,data-pipelines,https://github.com/svenkreiss/pysparkling,https://github.com/svenkreiss/pysparkling,MIT,2015-05-09 19:23:20.000000,2021-03-05 14:35:43.000000,2021-02-22 17:29:11.000000,45,7.0,21.0,231,1527.0,A pure Python implementation of Apache Spark's RDD and DStream interfaces.,10.0,24,True,2021-01-10 21:15:26.000000,0.6.1,68.0,pysparkling,,,,,75.0,61.0,https://pypi.org/project/pysparkling,2021-01-10 21:15:26.000000,14.0,10884.0,10884.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n419,Orion,Epistimio/orion,,hyperopt,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21.000000,2021-04-08 02:22:10.000000,2021-04-08 02:22:09.000000,40,39.0,114.0,186,2716.0,Asynchronous Distributed Hyperparameter Optimization.,23.0,24,True,2021-04-08 01:19:08.000000,0.1.14,15.0,orion,,,,,48.0,40.0,https://pypi.org/project/orion,2021-04-08 01:19:08.000000,8.0,2496.0,2496.0,,,,,,,,2.0,,2.0,,,,,,,,,,,,,,,,,,,,\n420,cortex,cortexlabs/cortex,,model-serialisation,https://github.com/cortexlabs/cortex,https://github.com/cortexlabs/cortex,Apache-2.0,2019-01-24 04:43:14.000000,2021-04-08 15:01:17.000000,2021-04-08 15:01:16.000000,569,174.0,825.0,7440,2005.0,\"Deploy, manage, and scale machine learning models in production.\",21.0,23,True,2021-03-30 23:55:15.000000,0.32.0,51.0,cortex,,,,,0.0,,https://pypi.org/project/cortex,2021-03-23 19:56:19.000000,0.0,1844.0,1844.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n421,Ciphey,Ciphey/Ciphey,,nlp,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39.000000,2021-04-07 12:07:04.000000,2021-04-03 18:20:30.000000,374,40.0,187.0,6637,1744.0,\"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.\",40.0,23,True,2021-02-28 10:55:16.000000,5.11.1,44.0,ciphey,,remnux/ciphey,,,,,https://pypi.org/project/ciphey,2021-02-28 10:54:10.000000,,5893.0,6318.0,,,,https://hub.docker.com/r/remnux/ciphey,2021-02-28 19:47:10.077074,3.0,8935.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n422,snownlp,isnowfy/snownlp,,chinese-nlp,https://github.com/isnowfy/snownlp,https://github.com/isnowfy/snownlp,MIT,2013-11-26 11:46:56.000000,2020-01-19 02:39:05.000000,2020-01-19 02:39:03.000000,1266,36.0,65.0,5350,57.0,Python library for processing Chinese text.,8.0,23,False,2015-09-27 16:35:23.000000,0.12.3,17.0,snownlp,,,,,633.0,557.0,https://pypi.org/project/snownlp,2015-09-27 16:35:23.000000,76.0,4718.0,4718.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n423,Apex,NVIDIA/apex,,gpu-utilities,https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000000,2021-03-29 16:57:20.000000,2021-03-24 08:12:00.000000,727,467.0,366.0,5213,833.0,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,80.0,23,True,,,1.0,,conda-forge/nvidia-apex,,,['pytorch'],504.0,504.0,,,,,2148.0,https://anaconda.org/conda-forge/nvidia-apex,2020-11-23 18:41:00.769000,38666.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n424,PaddleHub,PaddlePaddle/PaddleHub,,others,https://github.com/PaddlePaddle/PaddleHub,https://github.com/PaddlePaddle/PaddleHub,Apache-2.0,2018-12-21 06:00:48.000000,2021-04-08 12:52:40.000000,2021-04-06 03:26:42.000000,1070,345.0,410.0,4881,,\"Awesome pre-trained models toolkit based on PaddlePaddle.300+ models including Image, Text, Audio and Video with Easy..\",35.0,23,True,2021-03-02 06:45:07.000000,2.0.3,43.0,paddlehub,,,,['paddle'],159.0,159.0,https://pypi.org/project/paddlehub,2021-03-02 06:45:07.000000,0.0,3069.0,3088.0,,,,,,,,3.0,485.0,,,,,,,,,,,,,,,,,,,,,\n425,flashtext,vi3k6i5/flashtext,,nlp,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01.000000,2020-06-05 00:37:46.000000,2020-05-03 07:13:22.000000,542,52.0,49.0,4705,108.0,Extract Keywords from sentence or Replace keywords in sentences.,8.0,23,True,,,18.0,flashtext,,,,,433.0,401.0,https://pypi.org/project/flashtext,2018-02-16 05:24:17.000000,32.0,275857.0,275857.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n426,textgenrnn,minimaxir/textgenrnn,,nlp,https://github.com/minimaxir/textgenrnn,https://github.com/minimaxir/textgenrnn,MIT,2017-08-07 02:13:37.000000,2020-12-25 03:33:19.000000,2020-07-14 02:41:10.000000,681,117.0,82.0,4333,174.0,Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines..,19.0,23,True,2020-02-03 01:07:00.000000,2.0.0,14.0,textgenrnn,,,,['tensorflow'],773.0,745.0,https://pypi.org/project/textgenrnn,2020-02-02 21:16:15.000000,28.0,4794.0,4807.0,,,,,,,,3.0,484.0,,,,,,,,,,,,,,,,,,,,,\n427,neon,NervanaSystems/neon,,ml-frameworks,https://github.com/NervanaSystems/neon,https://github.com/NervanaSystems/neon,Apache-2.0,2014-10-16 01:00:17.000000,2020-12-23 01:21:42.000000,2019-05-22 18:27:54.000000,848,87.0,305.0,3851,1118.0,Intel Nervana reference deep learning framework committed to best performance on all hardware.,109.0,23,False,2018-01-05 23:25:04.000000,2.6.0,32.0,nervananeon,,,,,45.0,44.0,https://pypi.org/project/nervananeon,2018-01-05 23:25:04.000000,1.0,199.0,203.0,,,,,,,,3.0,307.0,,,,,,,,,,,,,,,,,,,,,\n428,Image Deduplicator,idealo/imagededup,,image,https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54.000000,2021-03-16 10:25:33.000000,2020-11-23 17:40:40.000000,288,20.0,57.0,3483,460.0,Finding duplicate images made easy!.,9.0,23,True,2020-11-23 17:55:24.000000,0.2.4,9.0,imagededup,,,,['tensorflow'],13.0,11.0,https://pypi.org/project/imagededup,2020-11-22 21:09:36.000000,2.0,2550.0,2550.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n429,Snips NLU,snipsco/snips-nlu,,nlp,https://github.com/snipsco/snips-nlu,https://github.com/snipsco/snips-nlu,Apache-2.0,2017-02-08 16:16:36.000000,2020-12-24 12:59:47.000000,2020-02-08 21:49:32.000000,465,51.0,196.0,3470,2153.0,Snips Python library to extract meaning from text.,21.0,23,False,2020-01-15 10:13:17.000000,0.20.2,58.0,snips-nlu,,,,,16.0,,https://pypi.org/project/snips-nlu,2020-01-15 10:13:17.000000,16.0,5191.0,5191.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n430,T5,google-research/text-to-text-transfer-transformer,,nlp,https://github.com/google-research/text-to-text-transfer-transformer,https://github.com/google-research/text-to-text-transfer-transformer,Apache-2.0,2019-10-17 21:45:14.000000,2021-04-08 02:03:41.000000,2021-04-06 23:07:19.000000,451,50.0,313.0,3312,474.0,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,37.0,23,True,2021-03-03 15:19:14.000000,0.9.0,26.0,t5,,,,['tensorflow'],0.0,,https://pypi.org/project/t5,2021-03-03 15:19:14.000000,0.0,11094.0,11094.0,,,,,,,,3.0,,-1.0,,,,,,,,,,,,,,,,,,,,\n431,PyAlgoTrade,gbeced/pyalgotrade,,financial-data,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54.000000,2021-03-12 21:20:56.000000,2018-08-21 02:42:52.000000,1187,45.0,81.0,3266,1156.0,Python Algorithmic Trading Library.,11.0,23,False,,,8.0,pyalgotrade,,,,,92.0,71.0,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25.000000,21.0,717.0,717.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n432,segmentation_models,qubvel/segmentation_models,,image,https://github.com/qubvel/segmentation_models,https://github.com/qubvel/segmentation_models,MIT,2018-06-05 13:27:56.000000,2021-04-02 06:02:48.000000,2020-04-17 09:51:20.000000,714,162.0,239.0,3092,204.0,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,14.0,23,True,2020-01-10 11:36:02.000000,1.0.1,8.0,segmentation_models,,,,['tensorflow'],24.0,,https://pypi.org/project/segmentation_models,2020-01-10 11:36:02.000000,24.0,16785.0,16785.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n433,Camelot,atlanhq/camelot,,data-loading,https://github.com/atlanhq/camelot,https://github.com/atlanhq/camelot,MIT,2016-06-18 11:48:49.000000,2020-07-27 12:28:15.000000,2019-10-15 05:25:40.000000,308,68.0,275.0,3023,446.0,Camelot: PDF Table Extraction for Humans.,23.0,23,False,2020-07-27 12:28:15.000000,0.8.2,21.0,camelot-py,,,,,20.0,,https://pypi.org/project/camelot-py,2020-07-27 12:28:15.000000,20.0,29548.0,29548.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n434,SHOGUN,shogun-toolbox/shogun,,ml-frameworks,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32.000000,2021-03-05 12:19:13.000000,2020-12-08 16:56:38.000000,1049,467.0,1077.0,2810,16205.0,Unified and efficient Machine Learning.,248.0,23,True,2019-07-05 10:23:31.000000,shogun_6.1.4,10.0,,conda-forge/shogun,shogun/shogun,,,,,,,,,2144.0,https://anaconda.org/conda-forge/shogun,2018-06-25 20:49:17.070000,95953.0,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1448.0,3.0,,,,,,,,,,shogun,,,,,,,,,,,,\n435,Porcupine,Picovoice/Porcupine,,audio,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000000,2021-04-08 00:51:35.000000,2021-04-06 17:41:28.000000,339,10.0,287.0,2393,420.0,On-device wake word detection powered by deep learning.,26.0,23,True,2021-03-05 21:16:46.000000,1.9.4,18.0,pvporcupine,,,,,5.0,5.0,https://pypi.org/project/pvporcupine,2021-03-05 21:16:46.000000,0.0,1292.0,1292.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n436,MMLSpark,Azure/mmlspark,,distributed-ml,https://github.com/Azure/mmlspark,https://github.com/Azure/mmlspark,MIT,2017-06-05 08:23:44.000000,2021-04-06 18:29:49.000000,2021-04-06 18:29:48.000000,503,202.0,215.0,2299,797.0,Microsoft Machine Learning for Apache Spark.,64.0,23,True,2020-10-02 19:36:01.000000,1.0.0-rc3,17.0,mmlspark,,,,['spark'],,,https://pypi.org/project/mmlspark,2020-03-18 01:27:31.000000,,61581.0,61581.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n437,analytics-zoo,intel-analytics/analytics-zoo,,distributed-ml,https://github.com/intel-analytics/analytics-zoo,https://github.com/intel-analytics/analytics-zoo,Apache-2.0,2017-05-05 02:27:30.000000,2021-04-08 08:58:01.000000,2021-04-08 08:23:36.000000,649,480.0,575.0,2255,2792.0,\"Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray.\",88.0,23,True,2020-12-17 03:25:36.000000,0.9.0,64.0,analytics-zoo,,,,['spark'],2.0,2.0,https://pypi.org/project/analytics-zoo,2021-04-04 16:16:47.000000,,2434.0,2434.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n438,neuralcoref,huggingface/neuralcoref,,nlp,https://github.com/huggingface/neuralcoref,https://github.com/huggingface/neuralcoref,MIT,2017-07-03 13:04:16.000000,2021-02-24 08:54:06.000000,2021-02-24 08:54:03.000000,395,48.0,219.0,2250,115.0,Fast Coreference Resolution in spaCy with Neural Networks.,20.0,23,True,2019-04-08 11:28:27.000000,4.0.0,5.0,neuralcoref,conda-forge/neuralcoref,,,,334.0,316.0,https://pypi.org/project/neuralcoref,2019-04-08 09:56:00.000000,18.0,6457.0,6972.0,https://anaconda.org/conda-forge/neuralcoref,2020-02-21 22:10:40.453000,7159.0,,,,,3.0,182.0,,,,,,,,,,,,,,,,,,,,,\n439,Gradio,gradio-app/gradio,,others,https://github.com/gradio-app/gradio,https://github.com/gradio-app/gradio,Apache-2.0,2018-12-19 08:24:04.000000,2021-03-26 21:21:50.000000,2021-03-26 21:21:45.000000,142,6.0,80.0,2246,969.0,\"Wrap UIs around any model, share with anyone.\",16.0,23,True,2021-03-12 19:09:36.000000,1.6.4,89.0,gradio,,,,,97.0,95.0,https://pypi.org/project/gradio,2021-03-12 19:09:36.000000,2.0,4318.0,4318.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n440,PandasGUI,adamerose/pandasgui,,data-viz,https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT,2019-06-12 02:19:42.000000,2021-03-29 13:09:18.000000,2021-03-29 13:09:13.000000,122,27.0,74.0,2139,403.0,A GUI for Pandas DataFrames.,8.0,23,True,2021-03-07 08:16:51.000000,0.2.10,40.0,pandasgui,,,,['pandas'],58.0,56.0,https://pypi.org/project/pandasgui,2021-03-07 08:16:51.000000,2.0,2865.0,2865.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n441,ART,Trusted-AI/adversarial-robustness-toolbox,,adversarial,https://github.com/Trusted-AI/adversarial-robustness-toolbox,https://github.com/Trusted-AI/adversarial-robustness-toolbox,MIT,2018-03-15 14:40:43.000000,2021-04-08 15:09:44.000000,2021-04-08 13:44:54.000000,587,92.0,393.0,2123,,\"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..\",65.0,23,True,2021-03-16 17:32:26.000000,1.6.0,30.0,adversarial-robustness-toolbox,,,,,111.0,111.0,https://pypi.org/project/adversarial-robustness-toolbox,2021-03-16 14:39:19.000000,0.0,4278.0,4278.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n442,scikit-opt,guofei9987/scikit-opt,,sklearn-utils,https://github.com/guofei9987/scikit-opt,https://github.com/guofei9987/scikit-opt,MIT,2017-12-05 10:20:41.000000,2021-04-03 05:58:51.000000,2021-04-03 05:58:41.000000,492,22.0,69.0,2111,268.0,\"Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune..\",10.0,23,True,2021-03-27 15:31:11.000000,0.6.3,20.0,scikit-opt,,,,['sklearn'],31.0,28.0,https://pypi.org/project/scikit-opt,2021-03-27 15:27:39.000000,3.0,1492.0,1492.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n443,Enigma Catalyst,enigmampc/catalyst,,financial-data,https://github.com/enigmampc/catalyst,https://github.com/enigmampc/catalyst,Apache-2.0,2017-06-13 22:31:34.000000,2021-01-05 19:10:30.000000,2020-12-28 10:58:58.000000,604,135.0,363.0,2091,6362.0,An Algorithmic Trading Library for Crypto-Assets in Python.,144.0,23,True,2018-11-11 16:46:28.000000,0.5.21,52.0,enigma-catalyst,,,,,24.0,22.0,https://pypi.org/project/enigma-catalyst,2018-11-11 16:46:28.000000,2.0,2241.0,2241.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n444,TF Ranking,tensorflow/ranking,,recommender-systems,https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57.000000,2021-02-04 05:28:32.000000,2021-02-04 05:28:28.000000,371,26.0,204.0,2089,325.0,Learning to Rank in TensorFlow.,20.0,23,True,2021-02-02 16:58:47.000000,0.3.3,15.0,tensorflow_ranking,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow_ranking,2021-01-30 02:05:46.000000,2.0,65698.0,65698.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n445,Hyperas,maxpumperla/hyperas,,hyperopt,https://github.com/maxpumperla/hyperas,https://github.com/maxpumperla/hyperas,MIT,2016-02-19 14:45:10.000000,2020-12-22 08:31:48.000000,2020-12-22 08:31:47.000000,296,88.0,158.0,2083,209.0,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,21.0,23,True,2019-02-28 09:16:54.000000,0.4.1,9.0,hyperas,,,,['tensorflow'],42.0,,https://pypi.org/project/hyperas,2019-02-28 09:16:54.000000,42.0,40881.0,40881.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n446,Acme,deepmind/acme,,reinforcement-learning,https://github.com/deepmind/acme,https://github.com/deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000000,2021-04-07 10:38:46.000000,2021-04-07 10:38:10.000000,203,43.0,49.0,2002,403.0,A library of reinforcement learning components and agents.,35.0,23,True,2020-10-23 16:00:01.000000,0.2.0,9.0,dm-acme,,,,['tensorflow'],25.0,25.0,https://pypi.org/project/dm-acme,2020-10-23 16:00:01.000000,,1200.0,1200.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n447,PyFlux,RJT1990/pyflux,,time-series-data,https://github.com/RJT1990/pyflux,https://github.com/RJT1990/pyflux,BSD-3-Clause,2016-02-16 20:12:02.000000,2019-03-19 10:45:02.000000,2018-12-16 15:30:13.000000,209,79.0,65.0,1864,118.0,Open source time series library for Python.,6.0,23,False,2017-11-21 16:27:06.000000,0.4.16,35.0,pyflux,,,,,208.0,178.0,https://pypi.org/project/pyflux,2017-11-21 16:27:06.000000,30.0,16956.0,16956.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n448,GluonTS,awslabs/gluon-ts,,time-series-data,https://github.com/awslabs/gluon-ts,https://github.com/awslabs/gluon-ts,Apache-2.0,2019-05-15 17:17:29.000000,2021-04-07 11:40:31.000000,2021-04-07 09:32:15.000000,384,208.0,369.0,1827,683.0,Probabilistic time series modeling in Python.,69.0,23,True,2021-02-18 17:21:15.000000,0.6.7,30.0,gluonts,,,,['mxnet'],0.0,,https://pypi.org/project/gluonts,2021-02-18 17:21:15.000000,0.0,34136.0,34136.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n449,DDSP,magenta/ddsp,,audio,https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27.000000,2021-04-07 00:41:31.000000,2021-04-07 00:41:24.000000,179,16.0,96.0,1815,368.0,DDSP: Differentiable Digital Signal Processing.,25.0,23,True,2021-03-21 22:05:32.000000,1.2.0,30.0,ddsp,,,,['tensorflow'],9.0,9.0,https://pypi.org/project/ddsp,2021-03-17 22:38:59.000000,,2586.0,2586.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n450,Essentia,MTG/essentia,,audio,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000000,2021-04-07 16:39:42.000000,2021-04-07 11:09:37.000000,407,307.0,573.0,1781,2803.0,\"C++ library for audio and music analysis, description and synthesis, including Python bindings.\",71.0,23,False,2015-03-31 16:33:30.000000,2.0,9.0,essentia,,,,,180.0,170.0,https://pypi.org/project/essentia,2021-01-13 00:12:18.000000,10.0,3439.0,3439.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n451,vidgear,abhiTronix/vidgear,,image,https://github.com/abhiTronix/vidgear,https://github.com/abhiTronix/vidgear,Apache-2.0,2019-03-17 02:42:42.000000,2021-04-08 05:37:55.000000,2021-01-01 04:26:42.000000,119,6.0,134.0,1704,547.0,High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features.,5.0,23,True,2021-01-01 07:57:09.000000,0.2.0,12.0,vidgear,,,,,98.0,96.0,https://pypi.org/project/vidgear,2021-01-01 07:57:09.000000,2.0,2087.0,2100.0,,,,,,,,3.0,336.0,,,,,,,,,,,,,,,,,,,,,\n452,Pillow-SIMD,uploadcare/pillow-simd,,image,https://github.com/uploadcare/pillow-simd,https://github.com/uploadcare/pillow-simd,PIL,2014-11-12 15:33:02.000000,2021-03-29 10:51:57.000000,2020-06-02 14:50:14.000000,65,11.0,54.0,1575,,The friendly PIL fork.,310.0,23,False,2020-01-02 05:19:26.000000,7.0.0,35.0,pillow-simd,,,,,431.0,381.0,https://pypi.org/project/pillow-simd,2020-01-26 14:30:27.000000,50.0,30636.0,30636.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n453,PyTextRank,DerwenAI/pytextrank,,nlp,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000000,2021-04-05 06:05:29.000000,2021-04-05 06:05:28.000000,300,19.0,42.0,1521,,Python implementation of TextRank for phrase extraction and summarization of text documents.,13.0,23,True,2021-03-25 19:46:28.000000,3.1.1,15.0,pytextrank,,,,,151.0,139.0,https://pypi.org/project/pytextrank,2021-03-25 19:46:28.000000,12.0,9455.0,9455.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n454,streamparse,Parsely/streamparse,,data-pipelines,https://github.com/Parsely/streamparse,https://github.com/Parsely/streamparse,Apache-2.0,2014-05-02 20:33:50.000000,2020-12-18 18:44:04.000000,2020-12-18 18:43:59.000000,219,69.0,263.0,1431,1059.0,\"Run Python in Apache Storm topologies. Pythonic API, CLI tooling, and a topology DSL.\",40.0,23,True,2020-10-07 19:53:15.000000,4.0.0,47.0,streamparse,,,,,99.0,47.0,https://pypi.org/project/streamparse,2020-10-07 19:45:19.000000,52.0,3201.0,3201.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n455,Magnitude,plasticityai/magnitude,,nn-search,https://github.com/plasticityai/magnitude,https://github.com/plasticityai/magnitude,MIT,2018-02-24 07:28:16.000000,2021-02-23 18:10:43.000000,2020-07-17 20:19:46.000000,99,27.0,50.0,1401,350.0,\"A fast, efficient universal vector embedding utility package.\",4.0,23,True,2020-05-25 11:26:36.000000,0.1.143,128.0,pymagnitude,,,,,198.0,184.0,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36.000000,14.0,3909.0,3909.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n456,Talos,autonomio/talos,,hyperopt,https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41.000000,2021-03-13 16:53:20.000000,2020-11-21 16:27:04.000000,227,41.0,348.0,1386,538.0,\"Hyperparameter Optimization for TensorFlow, Keras and PyTorch.\",19.0,23,True,2020-11-09 16:48:30.000000,1.0,14.0,talos,,,,['tensorflow'],118.0,112.0,https://pypi.org/project/talos,2020-11-09 16:49:08.000000,6.0,2396.0,2396.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n457,fklearn,nubank/fklearn,,ml-frameworks,https://github.com/nubank/fklearn,https://github.com/nubank/fklearn,Apache-2.0,2019-02-27 14:32:57.000000,2021-02-09 20:46:53.000000,2021-02-09 20:46:53.000000,149,19.0,20.0,1305,117.0,fklearn: Functional Machine Learning.,37.0,23,True,2021-02-09 17:12:04.000000,1.22.0,20.0,fklearn,,,,,10.0,10.0,https://pypi.org/project/fklearn,2021-02-09 17:12:04.000000,,5629.0,5629.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n458,TNT,pytorch/tnt,,ml-experiments,https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58.000000,2021-01-22 09:14:29.000000,2021-01-05 19:36:17.000000,187,30.0,34.0,1304,156.0,\"Simple tools for logging and visualizing, loading and training.\",35.0,23,True,2019-11-15 12:57:59.000000,0.0.5.1,3.0,torchnet,,,,['pytorch'],598.0,548.0,https://pypi.org/project/torchnet,2018-07-29 23:16:03.000000,50.0,6865.0,6865.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n459,Alibi,SeldonIO/alibi,,interpretability,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Apache-2.0,2019-02-26 10:10:56.000000,2021-03-31 13:52:58.000000,2021-03-31 13:54:22.000000,118,73.0,89.0,953,251.0,Algorithms for monitoring and explaining machine learning models.,12.0,23,True,2021-03-31 13:51:42.000000,0.5.7,17.0,alibi,,,,,92.0,74.0,https://pypi.org/project/alibi,2021-02-18 12:48:56.000000,18.0,8190.0,8190.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n460,FinTA,peerchemist/finta,,financial-data,https://github.com/peerchemist/finta,https://github.com/peerchemist/finta,LGPL-3.0,2016-09-01 21:02:46.000000,2021-04-03 08:51:28.000000,2021-04-03 08:51:10.000000,320,10.0,61.0,951,376.0,Common financial technical indicators implemented in Pandas.,23.0,23,False,2021-04-03 08:51:49.000000,1.3,19.0,finta,,,,,69.0,65.0,https://pypi.org/project/finta,2020-10-21 11:39:44.000000,4.0,8358.0,8358.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n461,ChainerRL,chainer/chainerrl,,reinforcement-learning,https://github.com/chainer/chainerrl,https://github.com/chainer/chainerrl,MIT,2017-01-30 04:58:15.000000,2021-04-08 06:11:22.000000,2020-12-09 06:26:52.000000,206,75.0,146.0,934,3458.0,ChainerRL is a deep reinforcement learning library built on top of Chainer.,29.0,23,True,2020-02-14 05:35:56.000000,0.8.0,10.0,chainerrl,,,,,110.0,96.0,https://pypi.org/project/chainerrl,2020-02-14 05:35:56.000000,14.0,626.0,626.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n462,FairScale,facebookresearch/fairscale,,distributed-ml,https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000000,2021-04-08 14:54:38.000000,2021-04-07 22:12:07.000000,70,35.0,113.0,933,391.0,PyTorch extensions for high performance and large scale training.,26.0,23,True,2021-04-02 16:25:20.000000,0.3.3,15.0,fairscale,,,,['pytorch'],10.0,10.0,https://pypi.org/project/fairscale,2021-04-02 16:18:08.000000,0.0,27862.0,27862.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n463,keract,philipperemy/keract,,interpretability,https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57.000000,2021-02-04 06:05:42.000000,2021-01-24 05:36:29.000000,177,3.0,75.0,871,359.0,Layers Outputs and Gradients in Keras. Made easy.,15.0,23,True,2021-01-22 09:01:30.000000,4.4.0,37.0,keract,,,,['tensorflow'],79.0,74.0,https://pypi.org/project/keract,2021-01-22 09:01:30.000000,5.0,2095.0,2095.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n464,ogb,snap-stanford/ogb,,graph,https://github.com/snap-stanford/ogb,https://github.com/snap-stanford/ogb,MIT,2019-11-22 22:13:57.000000,2021-04-07 08:44:37.000000,2021-04-07 08:21:44.000000,153,3.0,114.0,863,509.0,\"Benchmark datasets, data loaders, and evaluators for graph machine learning.\",14.0,23,True,2021-04-07 08:44:37.000000,1.3.1,14.0,ogb,,,,,78.0,78.0,https://pypi.org/project/ogb,2021-04-07 08:44:37.000000,0.0,7911.0,7911.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n465,scikit-cuda,lebedov/scikit-cuda,,gpu-utilities,https://github.com/lebedov/scikit-cuda,https://github.com/lebedov/scikit-cuda,BSD-3-Clause,2010-09-27 02:02:07.000000,2021-03-30 14:24:47.000000,2021-03-30 14:24:27.000000,158,42.0,165.0,816,1029.0,Python interface to GPU-powered libraries.,44.0,23,True,2019-05-27 00:29:00.000000,0.5.3,7.0,scikit-cuda,,,,,195.0,125.0,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00.000000,70.0,778.0,778.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n466,Darts,unit8co/darts,,time-series-data,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000000,2021-04-08 14:24:02.000000,2021-02-03 09:28:07.000000,105,31.0,63.0,791,314.0,A python library for easy manipulation and forecasting of time series.,23.0,23,True,2021-02-03 11:18:37.000000,0.6.1,10.0,u8darts,,unit8/darts,,,15.0,15.0,https://pypi.org/project/u8darts,2021-02-03 11:18:37.000000,0.0,9812.0,9815.0,,,,https://hub.docker.com/r/unit8/darts,2021-02-03 09:39:53.970650,,101.0,2.0,,,,,,,,,,,,,,,,,,,,,,\n467,Opacus,pytorch/opacus,,privacy-ml,https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000000,2021-04-07 01:39:50.000000,2021-04-01 23:19:21.000000,110,14.0,62.0,781,235.0,Training PyTorch models with differential privacy.,27.0,23,True,2021-03-10 19:25:01.000000,0.13.0,8.0,opacus,,,,['pytorch'],23.0,23.0,https://pypi.org/project/opacus,2021-03-10 19:25:01.000000,0.0,8700.0,8702.0,,,,,,,,2.0,31.0,,,,,,,,,,,,,,,,,,,,,\n468,GPUtil,anderskm/gputil,,gpu-utilities,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43.000000,2020-10-01 05:42:49.000000,2019-08-16 09:00:15.000000,75,11.0,14.0,696,140.0,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,13.0,23,False,2018-12-18 09:12:13.000000,1.4.0,8.0,gputil,,,,,1204.0,1102.0,https://pypi.org/project/gputil,2018-12-18 09:12:13.000000,102.0,94266.0,94266.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n469,arch,bashtage/arch,,financial-data,https://github.com/bashtage/arch,https://github.com/bashtage/arch,NCSA,2014-08-29 15:41:28.000000,2021-03-16 18:00:11.000000,2021-03-16 17:00:34.000000,163,13.0,134.0,681,,ARCH models in Python.,26.0,23,False,2021-03-16 08:28:41.000000,4.19,32.0,arch,,,,,314.0,272.0,https://pypi.org/project/arch,2021-03-16 08:30:20.000000,42.0,61737.0,61737.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n470,pingouin,raphaelvallat/pingouin,,probabilistics,https://github.com/raphaelvallat/pingouin,https://github.com/raphaelvallat/pingouin,GPL-3.0,2018-04-01 01:10:22.000000,2021-04-01 22:15:34.000000,2021-03-13 17:30:38.000000,56,17.0,114.0,677,1075.0,Statistical package in Python based on Pandas.,18.0,23,False,2021-02-16 05:46:44.000000,0.3.10,32.0,pingouin,conda-forge/pingouin,,,,206.0,196.0,https://pypi.org/project/pingouin,2021-02-16 05:37:08.000000,10.0,31125.0,32358.0,https://anaconda.org/conda-forge/pingouin,2021-02-16 07:48:18.164000,34530.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n471,Node2Vec,eliorc/node2vec,,graph,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000000,2021-04-02 06:40:51.000000,2021-04-02 06:31:28.000000,173,3.0,51.0,671,54.0,Implementation of the node2vec algorithm.,8.0,23,True,2021-04-02 06:40:51.000000,0.4.2,14.0,node2vec,conda-forge/node2vec,,,,137.0,127.0,https://pypi.org/project/node2vec,2021-04-02 06:33:26.000000,10.0,11731.0,12206.0,https://anaconda.org/conda-forge/node2vec,2020-04-25 22:41:13.714000,16652.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n472,TreeInterpreter,andosa/treeinterpreter,,interpretability,https://github.com/andosa/treeinterpreter,https://github.com/andosa/treeinterpreter,BSD-3-Clause,2015-08-02 20:26:21.000000,2021-02-28 18:33:06.000000,2021-02-28 18:33:06.000000,132,24.0,4.0,653,37.0,Package for interpreting scikit-learn's decision tree and random forest predictions.,11.0,23,True,2021-01-10 20:12:39.000000,0.2.3,5.0,treeinterpreter,,,,['sklearn'],148.0,130.0,https://pypi.org/project/treeinterpreter,2021-01-10 20:12:39.000000,18.0,156127.0,156127.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n473,scikit-multilearn,scikit-multilearn/scikit-multilearn,,sklearn-utils,https://github.com/scikit-multilearn/scikit-multilearn,https://github.com/scikit-multilearn/scikit-multilearn,BSD-2-Clause,2014-04-30 13:05:44.000000,2020-06-30 10:19:46.000000,2019-05-21 11:29:06.000000,121,66.0,92.0,648,487.0,A scikit-learn based module for multi-label et. al. classification.,15.0,23,False,2018-12-10 16:24:47.000000,0.2.0,6.0,scikit-multilearn,,,,['sklearn'],416.0,394.0,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47.000000,22.0,73623.0,73623.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n474,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,,data-viz,https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14.000000,2021-03-16 09:20:03.000000,2021-03-16 08:56:30.000000,80,19.0,57.0,641,270.0,Bokeh Plotting Backend for Pandas and GeoPandas.,12.0,23,True,2021-03-16 09:20:03.000000,0.5.4,15.0,pandas-bokeh,,,,['pandas'],164.0,154.0,https://pypi.org/project/pandas-bokeh,2021-03-16 09:20:03.000000,10.0,9720.0,9720.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n475,Sentinelsat,sentinelsat/sentinelsat,,geospatial-data,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26.000000,2021-04-08 09:16:29.000000,2021-04-08 09:16:29.000000,181,42.0,211.0,582,806.0,Search and download Copernicus Sentinel satellite images.,35.0,23,False,2020-06-12 07:15:51.000000,0.14,36.0,sentinelsat,,,,,228.0,184.0,https://pypi.org/project/sentinelsat,2020-06-12 07:08:37.000000,44.0,18704.0,18707.0,,,,,,,,3.0,196.0,,,,,,,,,,,,,,,,,,,,,\n476,CellProfiler,CellProfiler/CellProfiler,,image,https://github.com/CellProfiler/CellProfiler,https://github.com/CellProfiler/CellProfiler,BSD-3-Clause,2011-04-05 12:10:12.000000,2021-04-08 14:31:18.000000,2021-02-19 16:37:05.000000,271,166.0,2782.0,552,15307.0,An open-source application for biological image analysis.,119.0,23,True,2021-02-16 21:59:54.000000,4.1.3,41.0,cellprofiler,,,,,4.0,4.0,https://pypi.org/project/cellprofiler,2017-09-04 18:03:36.000000,,756.0,765.0,,,,,,,,3.0,841.0,,,,,,,,,,,,,,,,,,,,,\n477,combo,yzhao062/combo,,sklearn-utils,https://github.com/yzhao062/combo,https://github.com/yzhao062/combo,BSD-2-Clause,2019-07-14 01:13:36.000000,2021-03-29 00:05:33.000000,2021-03-15 01:39:54.000000,83,9.0,3.0,487,202.0,(AAAI' 20) A Python Toolbox for Machine Learning Model Combination.,1.0,23,True,2020-12-23 02:21:49.000000,0.1.2,12.0,combo,,,,\"['sklearn', 'xgboost']\",314.0,314.0,https://pypi.org/project/combo,2020-12-23 02:21:49.000000,0.0,26904.0,26904.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n478,tinytag,devsnd/tinytag,,audio,https://github.com/devsnd/tinytag,https://github.com/devsnd/tinytag,MIT,2014-01-27 15:27:01.000000,2021-03-28 14:28:00.000000,2021-03-28 14:27:32.000000,82,16.0,64.0,450,313.0,\"Read music meta data and length of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA and Wave files with python 2 or 3.\",18.0,23,True,2020-11-05 12:44:52.000000,1.5.0,33.0,tinytag,,,,,427.0,331.0,https://pypi.org/project/tinytag,2020-11-05 12:44:52.000000,96.0,4843.0,4843.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n479,python-ternary,marcharper/python-ternary,,data-viz,https://github.com/marcharper/python-ternary,https://github.com/marcharper/python-ternary,MIT,2012-08-07 23:48:55.000000,2021-03-31 17:34:05.000000,2021-03-31 17:34:05.000000,111,25.0,80.0,409,385.0,Ternary plotting library for python with matplotlib.,25.0,23,True,2021-02-17 18:38:15.000000,1.0.8,11.0,python-ternary,conda-forge/python-ternary,,,,83.0,63.0,https://pypi.org/project/python-ternary,2021-02-17 18:38:15.000000,20.0,3595.0,4452.0,https://anaconda.org/conda-forge/python-ternary,2021-02-17 22:38:55.625000,51455.0,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,,,,\n480,GeoViews,holoviz/geoviews,,geospatial-data,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000000,2021-03-14 15:19:05.550000,2021-03-13 16:24:33.000000,64,75.0,179.0,340,655.0,\"Simple, concise geographical visualization in Python.\",23.0,23,True,2021-03-13 16:29:11.000000,1.9.1,26.0,geoviews,conda-forge/geoviews,,,,20.0,,https://pypi.org/project/geoviews,2021-03-13 16:29:11.000000,20.0,7809.0,9539.0,https://anaconda.org/conda-forge/geoviews,2021-03-14 15:19:05.550000,64026.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n481,Cornac,PreferredAI/cornac,,recommender-systems,https://github.com/PreferredAI/cornac,https://github.com/PreferredAI/cornac,Apache-2.0,2018-07-17 06:31:35.000000,2021-04-08 09:03:51.000000,2021-04-08 09:03:50.000000,61,3.0,40.0,318,1173.0,A Comparative Framework for Multimodal Recommender Systems.,11.0,23,True,2021-03-30 03:20:12.000000,1.12.0,37.0,cornac,conda-forge/cornac,,,,36.0,34.0,https://pypi.org/project/cornac,2021-03-30 03:23:59.000000,2.0,4438.0,9845.0,https://anaconda.org/conda-forge/cornac,2021-03-30 16:45:43.648000,124367.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n482,pySBD,nipunsadvilkar/pySBD,,nlp,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20.000000,2021-02-11 16:42:37.000000,2021-02-11 16:40:18.000000,28,4.0,48.0,302,279.0,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,6.0,23,True,2021-02-11 16:42:37.000000,0.3.4,15.0,pysbd,,,,,127.0,123.0,https://pypi.org/project/pysbd,2021-02-11 16:36:33.000000,4.0,22590.0,22590.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n483,NIPY,nipy/nipy,,medical-data,https://github.com/nipy/nipy,https://github.com/nipy/nipy,BSD-3-Clause,2010-05-02 10:00:33.000000,2021-03-30 10:02:24.000000,2021-03-29 16:56:48.000000,123,43.0,110.0,295,6427.0,Neuroimaging in Python FMRI analysis package.,63.0,23,True,2018-02-19 14:14:08.000000,0.4.2,6.0,nipy,conda-forge/nipy,,,,82.0,,https://pypi.org/project/nipy,2018-02-19 14:14:08.000000,82.0,2030.0,3727.0,https://anaconda.org/conda-forge/nipy,2020-05-04 19:38:04.112000,76387.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n484,TensorFlow Cloud,tensorflow/cloud,,tensorflow-utils,https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59.000000,2021-04-06 18:22:55.000000,2021-04-06 18:22:48.000000,47,47.0,25.0,232,522.0,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,17.0,23,True,2021-02-09 23:34:43.000000,0.1.13,16.0,tensorflow-cloud,,,,['tensorflow'],33.0,33.0,https://pypi.org/project/tensorflow-cloud,2021-02-09 23:34:43.000000,0.0,157154.0,157154.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n485,cuDF,rapidsai/cudf,,gpu-utilities,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000000,2021-04-08 14:47:24.000000,2021-04-08 04:27:09.000000,496,600.0,2973.0,3809,,cuDF - GPU DataFrame Library.,207.0,22,True,2021-03-15 21:19:08.000000,0.18.1,8.0,cudf,,,,,4.0,,https://pypi.org/project/cudf,2020-06-01 20:07:47.000000,4.0,1574.0,1574.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n486,MatchZoo,NTMC-Community/MatchZoo,,nlp,https://github.com/NTMC-Community/MatchZoo,https://github.com/NTMC-Community/MatchZoo,Apache-2.0,2017-06-08 08:55:22.000000,2020-06-17 07:27:59.000000,2019-10-24 13:10:07.000000,877,27.0,428.0,3396,1808.0,\"Facilitating the design, comparison and sharing of deep text matching models.\",35.0,22,False,2019-10-24 13:09:11.000000,2.2.0,5.0,matchzoo,,,,['tensorflow'],10.0,10.0,https://pypi.org/project/matchzoo,2019-10-24 13:09:11.000000,,204.0,204.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n487,AdaNet,tensorflow/adanet,,hyperopt,https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24.000000,2020-07-09 21:03:28.000000,2020-07-09 20:51:04.000000,507,65.0,47.0,3271,439.0,Fast and flexible AutoML with learning guarantees.,26.0,22,True,2020-07-09 21:03:28.000000,0.9.0,13.0,adanet,,,,['tensorflow'],38.0,36.0,https://pypi.org/project/adanet,2020-07-09 21:03:28.000000,2.0,1678.0,1678.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n488,TensorTrade,tensortrade-org/tensortrade,,financial-data,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32.000000,2021-03-28 04:53:21.000000,2021-03-24 16:25:28.000000,706,27.0,142.0,3088,883.0,\"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.\",50.0,22,True,,,26.0,tensortrade,,,,,13.0,12.0,https://pypi.org/project/tensortrade,2020-12-20 18:30:31.000000,1.0,1277.0,1277.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n489,TensorWatch,microsoft/tensorwatch,,ml-experiments,https://github.com/microsoft/tensorwatch,https://github.com/microsoft/tensorwatch,MIT,2019-05-15 08:29:34.000000,2021-02-10 08:45:14.000000,2021-01-15 19:46:05.000000,323,49.0,15.0,3062,112.0,\"Debugging, monitoring and visualization for Python Machine Learning and Data Science.\",13.0,22,True,2020-03-04 07:26:22.000000,0.9.1,14.0,tensorwatch,,,,,51.0,45.0,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22.000000,6.0,4258.0,4258.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n490,Image Super-Resolution,idealo/image-super-resolution,,image,https://github.com/idealo/image-super-resolution,https://github.com/idealo/image-super-resolution,Apache-2.0,2018-11-26 13:41:13.000000,2021-04-08 09:55:00.000000,2020-11-11 15:09:19.000000,499,64.0,102.0,2664,138.0,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,9.0,22,True,2020-01-08 15:37:35.000000,2.2.0,11.0,ISR,,idealo/image-super-resolution-gpu,,['tensorflow'],51.0,43.0,https://pypi.org/project/ISR,2020-01-08 15:37:35.000000,8.0,4972.0,4976.0,,,,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,,138.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n491,gpt-2-simple,minimaxir/gpt-2-simple,,nlp,https://github.com/minimaxir/gpt-2-simple,https://github.com/minimaxir/gpt-2-simple,MIT,2019-04-13 20:00:52.000000,2021-03-21 20:05:55.000000,2021-02-14 19:39:38.000000,540,144.0,93.0,2606,133.0,Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts.,17.0,22,True,2021-02-14 21:13:20.000000,0.7.2,16.0,gpt-2-simple,,,,['tensorflow'],6.0,,https://pypi.org/project/gpt-2-simple,2021-02-14 20:20:24.000000,6.0,10841.0,10849.0,,,,,,,,3.0,212.0,,,,,,,,,,,,,,,,,,,,,\n492,tensorflow-graphics,tensorflow/graphics,,image,https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44.000000,2021-04-08 04:28:03.000000,2021-04-07 22:14:52.000000,285,105.0,84.0,2438,646.0,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,32.0,22,True,2020-05-20 19:56:41.000000,2020.5.20,21.0,tensorflow-graphics,,,,['tensorflow'],4.0,1.0,https://pypi.org/project/tensorflow-graphics,2020-05-20 19:56:41.000000,3.0,2429.0,2429.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n493,Mars,mars-project/mars,,others,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03.000000,2021-04-08 11:32:22.000000,2021-04-08 09:42:04.000000,247,122.0,677.0,2084,768.0,\"Mars is a tensor-based unified framework for large-scale data computation which scales Numpy, pandas, Scikit-learn and..\",19.0,22,True,2021-03-22 03:26:08.000000,0.6.7,79.0,pymars,,,,,4.0,4.0,https://pypi.org/project/pymars,2021-03-31 04:08:31.000000,0.0,5275.0,5275.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n494,MONAI,Project-MONAI/MONAI,,medical-data,https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000000,2021-04-08 14:29:05.000000,2021-04-08 05:52:20.000000,343,93.0,726.0,1887,952.0,AI Toolkit for Healthcare Imaging.,56.0,22,True,2020-12-15 15:21:13.000000,0.4.0,17.0,monai,,,,['pytorch'],0.0,,https://pypi.org/project/monai,2021-04-06 13:04:40.000000,0.0,7005.0,7005.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n495,m2cgen,BayesWitnesses/m2cgen,,model-serialisation,https://github.com/BayesWitnesses/m2cgen,https://github.com/BayesWitnesses/m2cgen,MIT,2019-01-13 02:32:55.000000,2021-04-08 11:33:25.000000,2021-04-08 00:33:47.000000,153,36.0,38.0,1780,239.0,\"Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart,..\",12.0,22,True,2020-09-18 19:17:26.000000,0.9.0,12.0,m2cgen,,,,,6.0,6.0,https://pypi.org/project/m2cgen,2020-09-18 19:16:17.000000,,17440.0,17440.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n496,STUMPY,TDAmeritrade/stumpy,,time-series-data,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000000,2021-04-07 13:58:31.000000,2021-04-07 13:58:20.000000,164,26.0,203.0,1749,,\"STUMPY is a powerful and scalable Python library for computing a Matrix Profile, which can be used for a variety of..\",21.0,22,True,2021-02-04 19:05:43.000000,1.8.0,19.0,stumpy,conda-forge/stumpy,,,,0.0,,https://pypi.org/project/stumpy,2021-02-04 19:05:43.000000,0.0,61979.0,62813.0,https://anaconda.org/conda-forge/stumpy,2021-02-05 23:28:08.904000,19196.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n497,Multicore-TSNE,DmitryUlyanov/Multicore-TSNE,,data-viz,https://github.com/DmitryUlyanov/Multicore-TSNE,https://github.com/DmitryUlyanov/Multicore-TSNE,BSD-3-Clause,2016-10-19 05:46:52.000000,2020-12-20 08:15:51.000000,2020-08-19 14:58:00.000000,199,36.0,20.0,1556,113.0,Parallel t-SNE implementation with Python and Torch wrappers.,15.0,22,True,2017-11-08 13:32:20.000000,0.0.1,3.0,MulticoreTSNE,conda-forge/multicore-tsne,,,['pytorch'],248.0,220.0,https://pypi.org/project/MulticoreTSNE,2019-01-09 07:23:04.000000,28.0,5714.0,5935.0,https://anaconda.org/conda-forge/multicore-tsne,2018-11-12 17:08:01.525000,6419.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n498,fast-bert,kaushaltrivedi/fast-bert,,nlp,https://github.com/utterworks/fast-bert,https://github.com/utterworks/fast-bert,Apache-2.0,2019-04-18 22:01:20.000000,2021-03-09 01:10:31.000000,2021-03-09 01:10:25.000000,315,139.0,91.0,1553,269.0,Super easy library for BERT based NLP models.,34.0,22,True,2021-03-09 00:19:27.000000,1.9.7,41.0,fast-bert,,,,,2.0,,https://pypi.org/project/fast-bert,2021-03-09 00:19:27.000000,2.0,3566.0,3566.0,,,,,,,,3.0,,,,,,,,,,,,,utterworks/fast-bert,,,,,,,,,\n499,lore,instacart/lore,,ml-experiments,https://github.com/instacart/lore,https://github.com/instacart/lore,MIT,2017-10-19 21:51:45.000000,2021-02-22 18:13:04.000000,2020-05-11 22:26:45.000000,119,16.0,18.0,1514,270.0,Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers.,22.0,22,True,2020-05-11 22:28:23.000000,0.8.4,231.0,lore,,,,,17.0,16.0,https://pypi.org/project/lore,2020-05-11 22:28:23.000000,1.0,3797.0,3797.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n500,anaGo,Hironsan/anago,,nlp,https://github.com/Hironsan/anago,https://github.com/Hironsan/anago,MIT,2017-06-26 21:28:36.000000,2021-04-01 12:35:21.000000,2021-04-01 12:34:50.000000,356,36.0,71.0,1396,298.0,\"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.\",11.0,22,True,2018-07-17 01:59:21.000000,1.0.8,14.0,anago,,,,['tensorflow'],30.0,25.0,https://pypi.org/project/anago,2018-07-17 01:59:21.000000,5.0,4917.0,4917.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n501,Neural Tangents,google/neural-tangents,,ml-frameworks,https://github.com/google/neural-tangents,https://github.com/google/neural-tangents,Apache-2.0,2019-04-08 16:48:48.000000,2021-03-31 22:02:40.000000,2021-03-31 22:02:33.000000,152,28.0,56.0,1378,370.0,Fast and Easy Infinite Neural Networks in Python.,18.0,22,True,2021-01-25 23:20:02.000000,0.3.6,20.0,neural-tangents,,,,,14.0,14.0,https://pypi.org/project/neural-tangents,2021-01-25 23:06:16.000000,0.0,346.0,357.0,,,,,,,,3.0,112.0,,,,,,,,,,,,,,,,,,,,,\n502,Torchmeta,tristandeleu/pytorch-meta,,pytorch-utils,https://github.com/tristandeleu/pytorch-meta,https://github.com/tristandeleu/pytorch-meta,MIT,2018-12-04 23:36:45.000000,2021-03-19 14:53:50.000000,2021-03-19 14:47:19.000000,147,27.0,76.0,1257,342.0,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.,10.0,22,True,2021-03-19 14:49:53.000000,1.7.0,27.0,torchmeta,,,,['pytorch'],35.0,35.0,https://pypi.org/project/torchmeta,2021-03-19 14:49:53.000000,,1242.0,1242.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n503,Pypeline,cgarciae/pypeln,,data-pipelines,https://github.com/cgarciae/pypeln,https://github.com/cgarciae/pypeln,MIT,2018-09-01 13:43:31.000000,2021-01-05 18:00:20.000000,2021-01-05 17:59:44.000000,69,14.0,35.0,1217,234.0,Concurrent data pipelines in Python .,9.0,22,True,2021-01-05 18:00:06.000000,0.4.7,34.0,pypeln,,,,,10.0,,https://pypi.org/project/pypeln,2021-01-05 18:00:06.000000,10.0,14585.0,14585.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n504,Karate Club,benedekrozemberczki/karateclub,,graph,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56.000000,2021-04-03 21:42:19.000000,2021-04-03 21:42:11.000000,146,1.0,47.0,1213,2121.0,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,11.0,22,False,2021-03-30 00:11:09.000000,_10024,97.0,karateclub,,,,,33.0,33.0,https://pypi.org/project/karateclub,2021-03-30 00:05:59.000000,0.0,9789.0,9789.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n505,FARM,deepset-ai/FARM,,nlp,https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12.000000,2021-04-07 10:11:07.000000,2021-04-07 10:11:07.000000,170,38.0,313.0,1159,550.0,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,32.0,22,True,2021-03-31 14:33:39.000000,0.7.1,23.0,farm,,,,['pytorch'],2.0,,https://pypi.org/project/farm,2021-02-22 17:30:04.000000,2.0,5677.0,5677.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n506,tensorrec,jfkirk/tensorrec,,recommender-systems,https://github.com/jfkirk/tensorrec,https://github.com/jfkirk/tensorrec,Apache-2.0,2017-02-28 18:51:11.000000,2021-03-18 20:46:02.000000,2020-02-04 21:10:25.000000,211,33.0,90.0,1137,334.0,A TensorFlow recommendation algorithm and framework in Python.,8.0,22,False,2019-04-02 00:53:47.000000,0.26.2,30.0,tensorrec,,,,['tensorflow'],28.0,25.0,https://pypi.org/project/tensorrec,2019-04-02 00:53:47.000000,3.0,1512.0,1512.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n507,pycm,sepandhaghighi/pycm,,others,https://github.com/sepandhaghighi/pycm,https://github.com/sepandhaghighi/pycm,MIT,2018-01-22 19:46:54.000000,2021-04-08 11:13:25.000000,2021-03-11 15:42:19.000000,93,12.0,155.0,1085,2619.0,Multi-class confusion matrix library in Python.,14.0,22,True,2021-03-11 15:51:49.000000,3.1,35.0,pycm,,,,,104.0,94.0,https://pypi.org/project/pycm,2021-03-11 15:52:23.000000,10.0,6031.0,6031.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n508,tensorly,tensorly/tensorly,,others,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52.000000,2021-04-08 13:50:47.000000,2021-04-08 13:50:47.000000,202,36.0,103.0,991,,TensorLy: Tensor Learning in Python.,43.0,22,True,2020-12-07 20:30:41.000000,0.5.1,16.0,tensorly,conda-forge/tensorly,,,,20.0,,https://pypi.org/project/tensorly,2020-12-07 20:30:41.000000,20.0,5895.0,9472.0,https://anaconda.org/conda-forge/tensorly,2020-12-07 22:44:30.386000,125211.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n509,pandasql,yhat/pandasql,,data-containers,https://github.com/yhat/pandasql,https://github.com/yhat/pandasql,MIT,2013-02-18 01:53:56.000000,2020-08-14 13:00:13.000000,2017-02-01 15:40:30.000000,141,44.0,23.0,961,127.0,sqldf for pandas.,15.0,22,False,2016-04-20 21:52:36.000000,0.7.3,31.0,pandasql,,,,['pandas'],795.0,697.0,https://pypi.org/project/pandasql,2016-04-20 21:52:36.000000,98.0,310283.0,310283.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n510,minisom,JustGlowing/minisom,,others,https://github.com/JustGlowing/minisom,https://github.com/JustGlowing/minisom,CC-BY-3.0,2013-07-03 10:10:06.000000,2021-04-03 16:15:34.000000,2021-04-03 16:15:34.000000,257,7.0,66.0,812,434.0,MiniSom is a minimalistic implementation of the Self Organizing Maps.,20.0,22,False,2021-03-16 07:19:52.000000,2.2.8,15.0,minisom,,,,,167.0,159.0,https://pypi.org/project/minisom,2020-11-03 08:18:16.000000,8.0,6068.0,6068.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n511,Neural Structured Learning,tensorflow/neural-structured-learning,,tensorflow-utils,https://github.com/tensorflow/neural-structured-learning,https://github.com/tensorflow/neural-structured-learning,Apache-2.0,2019-08-27 21:48:16.000000,2021-04-07 20:24:19.000000,2021-04-07 20:24:16.000000,140,3.0,40.0,796,409.0,Training neural models with structured signals.,27.0,22,True,2020-08-18 00:35:35.000000,1.3.1,7.0,neural-structured-learning,,,,['tensorflow'],47.0,47.0,https://pypi.org/project/neural-structured-learning,2020-08-18 00:35:35.000000,0.0,5854.0,5854.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n512,tf-explain,sicara/tf-explain,,interpretability,https://github.com/sicara/tf-explain,https://github.com/sicara/tf-explain,MIT,2019-07-15 08:26:24.000000,2021-03-02 11:04:28.000000,2021-02-04 18:16:59.000000,73,33.0,45.0,789,197.0,Interpretability Methods for tf.keras models with Tensorflow 2.x.,13.0,22,True,2021-02-16 18:59:38.000000,0.3.0,7.0,tf-explain,,,,['tensorflow'],69.0,67.0,https://pypi.org/project/tf-explain,2021-02-16 18:59:38.000000,2.0,1467.0,1467.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n513,stockstats,jealous/stockstats,,financial-data,https://github.com/jealous/stockstats,https://github.com/jealous/stockstats,BSD-3-Clause,2016-06-05 15:21:22.000000,2020-12-10 07:08:11.000000,2020-10-17 10:59:35.000000,207,29.0,31.0,749,23.0,Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.,7.0,22,True,2020-10-17 11:10:43.000000,0.3.2,14.0,stockstats,,,,,261.0,213.0,https://pypi.org/project/stockstats,2020-10-17 11:10:43.000000,48.0,39157.0,39157.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n514,fairlearn,fairlearn/fairlearn,,interpretability,https://github.com/fairlearn/fairlearn,https://github.com/fairlearn/fairlearn,MIT,2018-05-15 01:51:35.000000,2021-04-08 14:03:47.000000,2021-04-08 08:00:29.000000,182,75.0,122.0,748,556.0,A Python package to assess and improve fairness of machine learning models.,33.0,22,True,2021-02-06 23:47:07.000000,0.6.0,13.0,fairlearn,conda-forge/fairlearn,,,['sklearn'],2.0,,https://pypi.org/project/fairlearn,2021-02-04 12:58:01.000000,2.0,15387.0,16173.0,https://anaconda.org/conda-forge/fairlearn,2021-02-03 19:59:47.855000,11004.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n515,kapre,keunwoochoi/kapre,,audio,https://github.com/keunwoochoi/kapre,https://github.com/keunwoochoi/kapre,MIT,2016-12-14 18:36:36.000000,2021-03-25 21:02:49.000000,2021-03-25 21:02:44.000000,129,6.0,80.0,729,190.0,kapre: Keras Audio Preprocessors.,13.0,22,True,2021-03-18 22:14:02.000000,Kapre-0.3.5,21.0,kapre,,,,['tensorflow'],638.0,616.0,https://pypi.org/project/kapre,2020-09-29 18:49:13.000000,22.0,3623.0,3623.0,,,,,,,,3.0,10.0,,,,,,,,,,,,,,,,,,,,,\n516,gmaps,pbugnion/gmaps,,geospatial-data,https://github.com/pbugnion/gmaps,https://github.com/pbugnion/gmaps,BSD-3-Clause,2014-12-01 09:12:06.000000,2020-10-13 07:09:18.000000,2019-07-22 06:22:45.000000,143,66.0,135.0,708,1380.0,Google maps for Jupyter notebooks.,16.0,22,False,2019-07-21 08:49:48.715000,0.9.0,94.0,gmaps,conda-forge/gmaps,,,['jupyter'],75.0,1.0,https://pypi.org/project/gmaps,2019-07-21 08:49:39.000000,74.0,9848.0,16704.0,https://anaconda.org/conda-forge/gmaps,2019-08-02 11:56:50.940000,216527.0,,,,,3.0,,,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715000,,2250.0,,,,,,,,,,,,,,\n517,NeuPy,itdxer/neupy,,ml-frameworks,https://github.com/itdxer/neupy,https://github.com/itdxer/neupy,MIT,2015-08-24 19:45:11.000000,2021-03-18 20:44:32.000000,2019-09-02 19:02:38.000000,148,27.0,229.0,672,1145.0,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,6.0,22,False,2019-04-04 19:44:59.000000,0.8.2,34.0,neupy,,,,,112.0,101.0,https://pypi.org/project/neupy,2019-04-04 19:43:06.000000,11.0,1317.0,1317.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n518,torch-scatter,rusty1s/pytorch_scatter,,pytorch-utils,https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23.000000,2021-03-25 07:25:04.000000,2021-03-25 07:25:00.000000,76,63.0,119.0,625,825.0,PyTorch Extension Library of Optimized Scatter Operations.,15.0,22,True,2021-03-02 14:52:22.000000,2.0.6,26.0,torch-scatter,,,,['pytorch'],32.0,,https://pypi.org/project/torch-scatter,2021-03-03 06:21:28.000000,32.0,19182.0,19182.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n519,TensorBoard Logger,TeamHG-Memex/tensorboard_logger,,ml-experiments,https://github.com/TeamHG-Memex/tensorboard_logger,https://github.com/TeamHG-Memex/tensorboard_logger,MIT,2016-10-27 14:02:25.000000,2021-03-25 21:30:56.000000,2019-10-21 07:52:07.000000,52,9.0,15.0,611,46.0,Log TensorBoard events without touching TensorFlow.,5.0,22,False,2018-02-08 07:28:51.000000,0.1.0,5.0,tensorboard_logger,,,,,96.0,,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51.000000,96.0,106769.0,106769.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n520,Prince,MaxHalford/prince,,others,https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000000,2021-02-24 22:35:15.000000,2021-01-11 21:14:58.000000,120,29.0,64.0,606,179.0,\"Python factor analysis library (PCA, CA, MCA, MFA, FAMD).\",9.0,22,True,2020-10-06 11:26:47.000000,0.7.1,41.0,prince,,,,['sklearn'],118.0,112.0,https://pypi.org/project/prince,2020-10-06 11:26:47.000000,6.0,8297.0,8297.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n521,Guild AI,guildai/guildai,,ml-experiments,https://github.com/guildai/guildai,https://github.com/guildai/guildai,Apache-2.0,2017-09-27 18:57:50.000000,2021-04-07 22:20:19.000000,2021-04-07 21:50:34.000000,41,99.0,166.0,566,4515.0,\"Experiment tracking, ML developer tools.\",16.0,22,True,2021-03-25 22:43:31.000000,0.7.3,169.0,guildai,,,,,27.0,27.0,https://pypi.org/project/guildai,2021-04-07 22:20:19.000000,,7369.0,7369.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n522,pickleDB,patx/pickledb,,data-containers,https://github.com/patx/pickledb,https://github.com/patx/pickledb,BSD-3-Clause,2011-10-28 00:04:40.000000,2021-03-23 21:52:22.000000,2019-11-15 03:38:30.000000,100,22.0,39.0,559,105.0,pickleDB is an open source key-value store using Python's json module.,11.0,22,False,2019-01-14 18:48:25.000000,0.9.2,20.0,pickledb,,,,,663.0,551.0,https://pypi.org/project/pickledb,2019-01-14 18:48:25.000000,112.0,14671.0,14671.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n523,lazypredict,shankarpandala/lazypredict,,hyperopt,https://github.com/shankarpandala/lazypredict,https://github.com/shankarpandala/lazypredict,MIT,2019-11-16 09:56:35.000000,2021-03-27 13:28:44.000000,2021-02-25 21:45:50.000000,91,14.0,29.0,431,195.0,Lazy Predict help build a lot of basic models without much code and helps understand which models works better without..,12.0,22,True,2021-02-17 15:38:45.000000,0.2.9,11.0,lazypredict,,,,['sklearn'],47.0,47.0,https://pypi.org/project/lazypredict,2021-02-17 15:38:45.000000,,2356.0,2356.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n524,random-forest-importances,parrt/random-forest-importances,,interpretability,https://github.com/parrt/random-forest-importances,https://github.com/parrt/random-forest-importances,MIT,2018-03-22 19:20:13.000000,2021-01-30 21:50:08.000000,2021-01-30 21:50:02.000000,93,4.0,27.0,427,249.0,Code to compute permutation and drop-column importances in Python scikit-learn models.,14.0,22,True,2021-01-28 23:23:17.000000,1.3.7,22.0,rfpimp,,,,['sklearn'],70.0,66.0,https://pypi.org/project/rfpimp,2021-01-28 23:19:33.000000,4.0,19174.0,19174.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n525,SDV,sdv-dev/SDV,,data-loading,https://github.com/sdv-dev/SDV,https://github.com/sdv-dev/SDV,MIT,2018-05-11 15:56:50.000000,2021-04-08 02:14:39.000000,2021-04-01 01:11:12.000000,69,66.0,164.0,380,812.0,\"Synthetic Data Generation for tabular, relational and time series data.\",33.0,22,True,2021-04-01 01:14:47.000000,0.9.0,44.0,sdv,,,,,19.0,19.0,https://pypi.org/project/sdv,2021-04-01 01:11:08.000000,0.0,4213.0,4213.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n526,PyTorch Sparse,rusty1s/pytorch_sparse,,pytorch-utils,https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53.000000,2021-04-01 05:27:22.000000,2021-04-01 05:27:22.000000,51,43.0,59.0,376,533.0,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,14.0,22,True,2021-03-03 15:26:45.000000,0.6.9,21.0,torch-sparse,,,,['pytorch'],34.0,,https://pypi.org/project/torch-sparse,2020-11-02 10:43:20.000000,34.0,10908.0,10908.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n527,Studio.ml,studioml/studio,,ml-experiments,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28.000000,2021-03-27 00:16:08.000000,2021-03-27 00:10:16.000000,50,56.0,192.0,371,2353.0,Studio: Simplify and expedite model building process.,21.0,22,True,2021-03-19 21:35:43.000000,0.0.43,194.0,studioml,,,,,4.0,4.0,https://pypi.org/project/studioml,2021-03-27 00:16:08.000000,,1435.0,1435.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n528,aequitas,dssg/aequitas,,interpretability,https://github.com/dssg/aequitas,https://github.com/dssg/aequitas,MIT,2018-02-13 19:40:30.000000,2021-03-19 10:35:14.000000,2021-02-23 13:51:06.000000,71,35.0,21.0,370,856.0,Bias and Fairness Audit Toolkit.,16.0,22,True,2020-12-16 11:48:14.000000,0.42.0,16.0,aequitas,,,,,76.0,70.0,https://pypi.org/project/aequitas,2020-12-16 11:48:14.000000,6.0,1234.0,1234.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n529,vega,vega/ipyvega,,data-viz,https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000000,2021-04-02 09:23:26.000000,2021-04-02 09:23:25.000000,44,8.0,79.0,299,492.0,IPython/Jupyter notebook module for Vega and Vega-Lite.,9.0,22,True,2020-05-15 23:40:02.000000,3.4.0,37.0,vega,conda-forge/vega,,,['jupyter'],148.0,,https://pypi.org/project/vega,2020-05-15 23:40:02.000000,148.0,16094.0,23055.0,https://anaconda.org/conda-forge/vega,2020-12-10 15:03:57.175000,403772.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n530,py3nvml,fbcotter/py3nvml,,gpu-utilities,https://github.com/fbcotter/py3nvml,https://github.com/fbcotter/py3nvml,BSD-3-Clause,2016-11-21 01:07:37.000000,2020-10-10 10:41:08.987000,2020-04-23 06:54:42.000000,24,1.0,10.0,169,79.0,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,6.0,22,True,2020-04-06 16:02:10.000000,0.2.6,13.0,py3nvml,conda-forge/py3nvml,,,,265.0,245.0,https://pypi.org/project/py3nvml,2020-04-06 16:02:10.000000,20.0,119325.0,120315.0,https://anaconda.org/conda-forge/py3nvml,2020-10-10 10:41:08.987000,14858.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n531,stop-words,Alir3z4/python-stop-words,,nlp,https://github.com/Alir3z4/python-stop-words,https://github.com/Alir3z4/python-stop-words,BSD-3-Clause,2014-05-26 06:44:03.000000,2019-10-16 15:01:43.000000,2018-07-23 21:04:09.000000,23,3.0,9.0,122,90.0,Get list of common stop words in various languages in Python.,8.0,22,False,2018-07-23 20:58:34.000000,2018.7.23,8.0,stop-words,,,,,1408.0,1150.0,https://pypi.org/project/stop-words,2018-07-23 20:55:55.000000,258.0,72036.0,72036.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n532,pyexcel-xlsx,pyexcel/pyexcel-xlsx,,data-loading,https://github.com/pyexcel/pyexcel-xlsx,https://github.com/pyexcel/pyexcel-xlsx,BSD-3-Clause,2014-12-02 00:03:24.000000,2020-11-28 22:30:58.000000,2020-11-28 22:30:53.000000,16,12.0,20.0,86,267.0,\"A wrapper library to read, manipulate and write data in xlsx and xlsm format using openpyxl.\",4.0,22,False,2020-10-10 13:13:32.000000,0.6.0,30.0,pyexcel-xlsx,conda-forge/pyexcel-xlsx,,,,1467.0,1157.0,https://pypi.org/project/pyexcel-xlsx,2020-10-10 13:13:32.000000,310.0,72470.0,72847.0,https://anaconda.org/conda-forge/pyexcel-xlsx,2020-10-10 15:53:49.660000,15848.0,,,,,3.0,46.0,,,,,,,,,,,,,,,,,,,,,\n533,openpyxl,,,data-loading,,https://openpyxl.readthedocs.io,MIT,2015-11-03 00:22:17.154000,2021-03-13 16:57:07.865000,,0,200.0,1464.0,19,,A Python library to read/write Excel 2010 xlsx/xlsm files.,,22,False,2021-03-10 19:38:02.000000,3.0.7,97.0,openpyxl,openpyxl,openpyxl/openpyxl-ci,https://openpyxl.readthedocs.io/en/stable/,,9770.0,,https://pypi.org/project/openpyxl,2021-03-09 19:13:10.000000,9770.0,10390376.0,10391110.0,https://anaconda.org/anaconda/openpyxl,2021-03-13 16:57:07.865000,46553.0,https://hub.docker.com/r/openpyxl/openpyxl-ci,2018-09-13 18:04:17.646261,,1180.0,3.0,,,,,,,,,0.0,,,,,,,,,,,,https://foss.heptapod.net/api/graphql::openpyxl/openpyxl,https://foss.heptapod.net/openpyxl/openpyxl\n534,Recommenders,microsoft/recommenders,,recommender-systems,https://github.com/microsoft/recommenders,https://github.com/microsoft/recommenders,MIT,2018-09-19 10:06:07.000000,2021-04-08 15:05:00.000000,2021-04-06 13:17:27.000000,1621,120.0,439.0,9468,6334.0,Best Practices on Recommendation Systems.,93.0,21,True,2021-02-04 14:08:48.000000,2021.2,7.0,,,,,,1.0,1.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n535,mace,XiaoMi/mace,,ml-frameworks,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12.000000,2021-04-06 08:39:29.000000,2021-04-06 07:55:18.000000,758,42.0,598.0,4335,3139.0,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,57.0,21,True,2021-03-18 10:07:32.000000,1.0.4,11.0,,,,,,,,,,,,41.0,,,,,,,,3.0,1337.0,,,,,,,,,,,,,,,,,,,,,\n536,MMF,facebookresearch/mmf,,image,https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40.000000,2021-04-08 03:40:32.000000,2021-04-07 23:02:47.000000,630,113.0,352.0,4290,846.0,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,60.0,21,True,2019-08-26 19:04:21.000000,0.3.1,12.0,mmf,,,,['pytorch'],7.0,7.0,https://pypi.org/project/mmf,2020-06-12 22:15:02.000000,0.0,614.0,614.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n537,DeepMatcher,anhaidgroup/deepmatcher,,nlp,https://github.com/anhaidgroup/deepmatcher,https://github.com/anhaidgroup/deepmatcher,BSD-3-Clause,2017-12-01 19:01:11.000000,2020-09-27 17:25:56.000000,2020-04-20 02:34:24.000000,1311,47.0,19.0,3527,169.0,Python package for performing Entity and Text Matching using Deep Learning.,7.0,21,True,2019-12-30 19:49:33.000000,0.1.1,9.0,deepmatcher,,,,,12.0,12.0,https://pypi.org/project/deepmatcher,2019-12-30 19:49:33.000000,,449.0,449.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n538,vit-pytorch,lucidrains/vit-pytorch,,image,https://github.com/lucidrains/vit-pytorch,https://github.com/lucidrains/vit-pytorch,MIT,2020-10-03 22:47:24.000000,2021-04-06 20:47:12.000000,2021-04-06 20:46:19.000000,369,29.0,51.0,3413,,\"Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single..\",5.0,21,True,2021-04-06 20:47:12.000000,0.15.2,53.0,vit-pytorch,,,,['pytorch'],10.0,10.0,https://pypi.org/project/vit-pytorch,2021-04-06 20:47:12.000000,,2631.0,2631.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n539,TRFL,deepmind/trfl,,reinforcement-learning,https://github.com/deepmind/trfl,https://github.com/deepmind/trfl,Apache-2.0,2018-08-08 14:44:11.000000,2020-11-06 04:44:44.000000,2020-04-20 13:05:56.000000,372,6.0,16.0,3063,116.0,TensorFlow Reinforcement Learning.,12.0,21,True,2020-04-20 14:11:57.000000,1.1.0,4.0,trfl,,,,['tensorflow'],46.0,44.0,https://pypi.org/project/trfl,2020-04-20 14:11:57.000000,2.0,1300.0,1300.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n540,dpark,douban/dpark,,data-pipelines,https://github.com/douban/dpark,https://github.com/douban/dpark,BSD-3-Clause,2012-04-11 08:35:06.000000,2020-12-25 10:36:06.000000,2020-12-25 10:36:05.000000,554,,60.0,2657,1467.0,\"Python clone of Spark, a MapReduce alike framework in Python.\",35.0,21,True,2018-07-27 04:11:36.000000,0.5.0,19.0,dpark,,,,['spark'],4.0,3.0,https://pypi.org/project/dpark,2018-07-27 04:11:36.000000,1.0,186.0,186.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n541,NLP Architect,IntelLabs/nlp-architect,,nlp,https://github.com/IntelLabs/nlp-architect,https://github.com/IntelLabs/nlp-architect,Apache-2.0,2018-05-17 21:00:13.000000,2021-03-30 13:10:16.000000,2021-03-21 09:58:58.000000,394,16.0,105.0,2629,951.0,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,36.0,21,True,2020-11-17 12:32:37.000000,0.5.5.1,13.0,nlp-architect,,,,,7.0,7.0,https://pypi.org/project/nlp-architect,2020-04-12 11:34:38.000000,,420.0,420.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n542,finmarketpy,cuemacro/finmarketpy,,financial-data,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03.000000,2021-03-30 11:10:31.000000,2021-03-30 11:10:23.000000,431,21.0,3.0,2529,659.0,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,14.0,21,True,2021-01-25 15:04:53.000000,0.11.8,9.0,finmarketpy,,,,,3.0,3.0,https://pypi.org/project/finmarketpy,2021-01-25 15:01:25.000000,,309.0,309.0,,,,,,,,3.0,39.0,,,,,,,,,,,,,,,,,,,,,\n543,Hummingbird,microsoft/hummingbird,,model-serialisation,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000000,2021-04-05 19:42:59.000000,2021-04-05 19:00:19.000000,173,52.0,150.0,2368,,Hummingbird compiles trained ML models into tensor computation for faster inference.,20.0,21,True,2021-03-09 22:24:11.000000,0.2.2,10.0,hummingbird-ml,,,,,14.0,14.0,https://pypi.org/project/hummingbird-ml,2021-03-09 22:24:11.000000,,2900.0,2908.0,,,,,,,,3.0,97.0,,,,,,,,,,,,,,,,,,,,,\n544,Luminoth,tryolabs/luminoth,,image,https://github.com/tryolabs/luminoth,https://github.com/tryolabs/luminoth,BSD-3-Clause,2017-02-16 15:07:46.000000,2020-12-24 21:01:24.000000,2020-01-07 20:53:25.000000,404,50.0,127.0,2356,838.0,Deep Learning toolkit for Computer Vision.,15.0,21,False,2018-11-09 21:35:17.000000,0.2.3,10.0,luminoth,,,,['tensorflow'],31.0,29.0,https://pypi.org/project/luminoth,2018-11-09 21:35:17.000000,2.0,896.0,1165.0,,,,,,,,3.0,11334.0,,,,,,,,,,,,,,,,,,,,,\n545,DeepVariant,google/deepvariant,,medical-data,https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000000,2021-04-07 12:31:23.866000,2021-03-31 18:23:13.000000,540,3.0,392.0,2241,1503.0,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,19.0,21,True,2020-12-07 17:56:31.000000,1.1.0,15.0,,bioconda/deepvariant,,,['tensorflow'],,,,,,,808.0,https://anaconda.org/bioconda/deepvariant,2021-04-07 12:31:23.866000,28395.0,,,,,3.0,3216.0,,,,,,,,,,,,,,,,,,,,,\n546,Texar,asyml/texar,,nlp,https://github.com/asyml/texar,https://github.com/asyml/texar,Apache-2.0,2017-07-22 19:02:05.000000,2020-09-17 07:03:55.000000,2020-07-29 00:38:30.000000,352,33.0,126.0,2126,1719.0,\"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the..\",41.0,21,True,2019-11-19 04:11:18.000000,0.2.4,6.0,texar,,,,['tensorflow'],14.0,12.0,https://pypi.org/project/texar,2019-11-19 04:11:18.000000,2.0,80.0,80.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n547,knockknock,huggingface/knockknock,,ml-experiments,https://github.com/huggingface/knockknock,https://github.com/huggingface/knockknock,MIT,2019-03-20 13:08:55.000000,2021-01-09 06:11:00.000000,2020-03-16 04:26:47.000000,162,12.0,21.0,2045,75.0,Knock Knock: Get notified when your training ends with only two additional lines of code.,18.0,21,False,2020-03-04 04:15:47.000000,0.1.8,10.0,knockknock,conda-forge/knockknock,,,,155.0,152.0,https://pypi.org/project/knockknock,2020-03-16 14:30:23.000000,3.0,3360.0,3699.0,https://anaconda.org/conda-forge/knockknock,2020-03-17 01:52:16.317000,6118.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n548,PARL,PaddlePaddle/PARL,,reinforcement-learning,https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22.000000,2021-04-08 12:39:29.000000,2021-04-08 11:38:31.000000,455,47.0,167.0,1928,1.0,A high-performance distributed training framework for Reinforcement Learning.,22.0,21,True,2021-03-10 06:55:54.000000,1.4.3,18.0,parl,,,,['paddle'],72.0,72.0,https://pypi.org/project/parl,2021-03-10 06:55:54.000000,,780.0,780.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n549,cleanlab,cgnorthcutt/cleanlab,,others,https://github.com/cgnorthcutt/cleanlab,https://github.com/cgnorthcutt/cleanlab,GPL-3.0,2018-05-11 01:55:21.000000,2021-03-30 03:59:56.000000,2021-03-30 03:59:56.000000,170,18.0,35.0,1744,744.0,The standard package for machine learning with noisy labels and finding mislabeled data in Python.,5.0,21,False,2020-02-17 07:33:06.000000,0.1.1,15.0,cleanlab,,,,,11.0,11.0,https://pypi.org/project/cleanlab,2020-02-17 07:33:06.000000,,4561.0,4561.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n550,auto_ml,ClimbsRocks/auto_ml,,hyperopt,https://github.com/ClimbsRocks/auto_ml,https://github.com/ClimbsRocks/auto_ml,MIT,2016-08-07 21:35:08.000000,2021-02-10 07:52:35.000000,2018-03-25 19:46:25.000000,295,185.0,216.0,1529,1149.0,[UNMAINTAINED] Automated machine learning for analytics & production.,13.0,21,False,2018-02-22 01:13:03.000000,2.9.10,78.0,auto_ml,,,,,2.0,,https://pypi.org/project/auto_ml,2018-02-22 01:13:03.000000,2.0,5418.0,5418.0,,,,,,,,3.0,33.0,,,,,,,,,,,,,,,,,,,,,\n551,Sweetviz,fbdesignpro/sweetviz,,data-viz,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47.000000,2021-04-01 18:44:48.000000,2021-04-01 18:44:46.000000,160,20.0,55.0,1507,95.0,\"Visualize and compare datasets, target values and associations, with one line of code.\",6.0,21,True,2021-04-01 18:29:24.000000,2.1.0,28.0,sweetviz,,,,,0.0,,https://pypi.org/project/sweetviz,2021-04-01 18:29:24.000000,0.0,22984.0,22984.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n552,AmpliGraph,Accenture/AmpliGraph,,graph,https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05.000000,2020-08-25 17:19:24.000000,2020-08-25 17:00:58.000000,164,22.0,160.0,1462,895.0,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,14.0,21,True,2020-08-25 17:06:46.000000,1.3.2,11.0,ampligraph,,,,['tensorflow'],12.0,12.0,https://pypi.org/project/ampligraph,2020-08-25 16:59:58.000000,,1672.0,1672.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n553,reformer-pytorch,lucidrains/reformer-pytorch,,pytorch-utils,https://github.com/lucidrains/reformer-pytorch,https://github.com/lucidrains/reformer-pytorch,MIT,2020-01-09 20:42:37.000000,2021-03-08 14:51:57.000000,2021-03-08 14:51:06.000000,187,7.0,98.0,1433,240.0,\"Reformer, the efficient Transformer, in Pytorch.\",10.0,21,True,2021-03-08 14:51:57.000000,1.2.6,134.0,reformer-pytorch,,,,['pytorch'],,,https://pypi.org/project/reformer-pytorch,2021-03-08 14:51:57.000000,,1510.0,1510.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n554,TensorFlow Privacy,tensorflow/privacy,,privacy-ml,https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000000,2021-04-06 20:29:43.000000,2021-04-06 20:29:41.000000,276,47.0,78.0,1376,446.0,Library for training machine learning models with privacy for training data.,36.0,21,True,2020-09-03 01:13:47.000000,.0.5.1,9.0,tensorflow-privacy,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow-privacy,2020-09-03 01:10:15.000000,2.0,9925.0,9927.0,,,,,,,,2.0,42.0,,,,,,,,,,,,,,,,,,,,,\n555,EfficientNets,rwightman/gen-efficientnet-pytorch,,pytorch-utils,https://github.com/rwightman/gen-efficientnet-pytorch,https://github.com/rwightman/gen-efficientnet-pytorch,Apache-2.0,2019-05-11 19:35:56.000000,2020-11-30 05:51:08.000000,2020-11-30 05:49:27.000000,175,,48.0,1295,106.0,\"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.\",5.0,21,True,2020-08-20 19:55:21.000000,1.0.0,9.0,geffnet,,,,['pytorch'],44.0,44.0,https://pypi.org/project/geffnet,2020-08-20 19:55:21.000000,0.0,5037.0,5037.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n556,Classy Vision,facebookresearch/ClassyVision,,image,https://github.com/facebookresearch/ClassyVision,https://github.com/facebookresearch/ClassyVision,MIT,2019-09-13 22:54:44.000000,2021-04-08 03:28:45.000000,2021-04-02 00:33:27.000000,214,53.0,50.0,1229,356.0,An end-to-end PyTorch framework for image and video classification.,60.0,21,True,2020-11-20 21:02:29.000000,0.5.0,15.0,classy_vision,conda-forge/classy_vision,,,['pytorch'],0.0,,https://pypi.org/project/classy_vision,2020-11-20 21:02:29.000000,0.0,478.0,929.0,https://anaconda.org/conda-forge/classy_vision,2020-12-11 20:08:25.437000,6774.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n557,MLBox,AxeldeRomblay/MLBox,,hyperopt,https://github.com/AxeldeRomblay/MLBox,https://github.com/AxeldeRomblay/MLBox,BSD-1-Clause,2017-06-01 16:59:24.000000,2020-11-24 17:57:08.000000,2020-08-25 09:26:27.000000,251,12.0,73.0,1208,1121.0,MLBox is a powerful Automated Machine Learning python library.,9.0,21,False,2020-08-25 09:32:37.000000,0.8.5,21.0,mlbox,,,,,21.0,21.0,https://pypi.org/project/mlbox,2020-08-25 09:32:37.000000,,2778.0,2778.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n558,datatable,h2oai/datatable,,data-containers,https://github.com/h2oai/datatable,https://github.com/h2oai/datatable,MPL-2.0,2017-03-03 02:32:59.000000,2021-04-08 00:25:37.000000,2021-04-06 23:59:30.000000,100,127.0,1132.0,1183,,A Python package for manipulating 2-dimensional tabular data structures.,28.0,21,True,2020-12-10 09:10:50.000000,0.11.1,15.0,datatable,,,,,6.0,,https://pypi.org/project/datatable,2020-12-10 08:04:03.000000,6.0,24691.0,24713.0,,,,,,,,3.0,969.0,,,,,,,,,,,,,,,,,,,,,\n559,Torch Points 3D,nicolas-chaulet/torch-points3d,,image,https://github.com/nicolas-chaulet/torch-points3d,https://github.com/nicolas-chaulet/torch-points3d,BSD-3-Clause,2019-12-06 11:33:34.000000,2021-04-07 13:03:56.000000,2021-04-05 07:47:06.000000,171,51.0,172.0,1175,1615.0,Pytorch framework for doing deep learning on point clouds.,20.0,21,True,2020-12-18 10:34:16.000000,1.2.0,13.0,torch-points3d,,,,['pytorch'],2.0,2.0,https://pypi.org/project/torch-points3d,2020-12-18 10:34:16.000000,,580.0,580.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n560,Higher,facebookresearch/higher,,pytorch-utils,https://github.com/facebookresearch/higher,https://github.com/facebookresearch/higher,Apache-2.0,2019-09-06 18:58:36.000000,2021-03-02 09:56:03.000000,2021-03-02 09:56:03.000000,79,32.0,48.0,1082,29.0,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,8.0,21,True,2020-07-14 12:20:32.000000,0.2.1,2.0,higher,,,,['pytorch'],43.0,43.0,https://pypi.org/project/higher,2020-07-14 12:20:32.000000,0.0,25988.0,25988.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n561,mljar-supervised,mljar/mljar-supervised,,hyperopt,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000000,2021-04-08 14:20:33.000000,2021-04-08 14:20:23.000000,129,56.0,287.0,1034,864.0,Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning.,8.0,21,True,2021-04-01 15:02:32.000000,0.10.3,70.0,mljar-supervised,,,,,10.0,10.0,https://pypi.org/project/mljar-supervised,2021-04-01 14:13:12.000000,,4412.0,4412.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n562,TabNet,dreamquark-ai/tabnet,,pytorch-utils,https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000000,2021-04-05 22:31:57.000000,2021-03-01 11:50:35.000000,181,35.0,107.0,928,168.0,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,18.0,21,True,2021-02-02 08:05:11.000000,3.1.1,17.0,pytorch-tabnet,,,,['pytorch'],0.0,,https://pypi.org/project/pytorch-tabnet,2021-02-02 08:05:11.000000,0.0,8684.0,8684.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n563,fastFM,ibayer/fastFM,,recommender-systems,https://github.com/ibayer/fastFM,https://github.com/ibayer/fastFM,BSD-3-Clause,2014-10-27 12:25:51.000000,2021-03-24 12:22:31.000000,2021-03-24 12:22:31.000000,187,44.0,59.0,913,297.0,fastFM: A Library for Factorization Machines.,20.0,21,True,2017-11-23 06:59:56.000000,0.2.11,10.0,fastfm,,,,,87.0,79.0,https://pypi.org/project/fastfm,2017-11-23 06:59:56.000000,8.0,916.0,921.0,,,,,,,,3.0,385.0,,,,,,,,,,,,,,,,,,,,,\n564,luminol,linkedin/luminol,,time-series-data,https://github.com/linkedin/luminol,https://github.com/linkedin/luminol,Apache-2.0,2015-11-18 23:16:33.000000,2020-12-27 09:54:35.000000,2018-01-09 07:46:55.000000,184,31.0,12.0,901,69.0,Anomaly Detection and Correlation library.,8.0,21,False,2016-01-20 01:01:44.000000,0.3.1,5.0,luminol,,,,,66.0,38.0,https://pypi.org/project/luminol,2017-12-11 06:04:15.000000,28.0,43405.0,43405.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n565,attention-ocr,emedvedev/attention-ocr,,ocr,https://github.com/emedvedev/attention-ocr,https://github.com/emedvedev/attention-ocr,MIT,2017-07-21 18:35:19.000000,2021-02-23 04:33:25.000000,2020-10-31 19:40:19.000000,228,19.0,126.0,847,196.0,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,27.0,21,True,2020-10-12 06:56:40.000000,0.7.6,21.0,aocr,,,,['tensorflow'],16.0,16.0,https://pypi.org/project/aocr,2019-04-19 05:28:27.000000,,513.0,513.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n566,Explainability 360,Trusted-AI/AIX360,,interpretability,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48.000000,2020-12-04 16:51:14.000000,2020-12-04 16:49:39.000000,171,26.0,19.0,807,305.0,Interpretability and explainability of data and machine learning models.,27.0,21,True,2020-10-28 09:32:21.000000,0.2.1,4.0,aix360,,,,,16.0,15.0,https://pypi.org/project/aix360,2020-10-28 09:18:17.000000,1.0,1115.0,1115.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n567,iNNvestigate,albermax/innvestigate,,interpretability,https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20.000000,2020-12-30 15:22:24.000000,2020-10-16 15:26:56.000000,176,78.0,129.0,789,882.0,A toolbox to iNNvestigate neural networks' predictions!.,18.0,21,True,2020-11-14 11:35:59.000000,1.0.9,2.0,innvestigate,,,,['tensorflow'],54.0,53.0,https://pypi.org/project/innvestigate,2020-11-14 11:35:59.000000,1.0,584.0,584.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n568,rows,turicas/rows,,data-loading,https://github.com/turicas/rows,https://github.com/turicas/rows,LGPL-3.0,2014-05-07 05:43:11.000000,2021-03-11 16:51:43.000000,2021-03-11 16:51:28.000000,136,160.0,149.0,744,738.0,\"A common, beautiful interface to tabular data, no matter the format.\",30.0,21,False,2019-02-14 21:20:15.000000,0.4.1,9.0,rows,,,,,171.0,119.0,https://pypi.org/project/rows,2019-02-14 21:12:03.000000,52.0,1735.0,1735.0,,,,,,,,3.0,37.0,,,,,,,,,,,,,,,,,,,,,\n569,Madmom,CPJKU/madmom,,audio,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06.000000,2020-04-14 03:42:18.000000,2019-12-19 14:46:37.000000,124,54.0,178.0,734,1722.0,Python audio and music signal processing library.,19.0,21,False,2018-11-14 14:57:41.000000,0.16.1,11.0,madmom,,,,,154.0,120.0,https://pypi.org/project/madmom,2018-11-14 14:56:22.000000,34.0,2648.0,2648.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n570,alibi-detect,SeldonIO/alibi-detect,,others,https://github.com/SeldonIO/alibi-detect,https://github.com/SeldonIO/alibi-detect,Apache-2.0,2019-10-07 13:29:13.000000,2021-04-07 15:11:22.000000,2021-04-07 10:04:10.000000,65,39.0,51.0,638,328.0,\"Algorithms for outlier and adversarial instance detection, concept drift and metrics.\",7.0,21,True,2021-03-05 18:02:07.000000,0.5.1,11.0,alibi-detect,,,,,22.0,21.0,https://pypi.org/project/alibi-detect,2021-03-05 18:01:21.000000,1.0,4324.0,4324.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n571,pdpipe,pdpipe/pdpipe,,data-pipelines,https://github.com/pdpipe/pdpipe,https://github.com/pdpipe/pdpipe,MIT,2017-01-24 20:37:22.000000,2021-02-23 19:36:13.000000,2021-02-23 18:30:54.000000,27,6.0,15.0,602,342.0,Easy pipelines for pandas DataFrames.,8.0,21,True,2021-02-23 19:40:09.000000,0.0.51,49.0,pdpipe,,,,['pandas'],29.0,29.0,https://pypi.org/project/pdpipe,2020-11-09 09:32:37.000000,0.0,2001.0,2001.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n572,Torchbearer,pytorchbearer/torchbearer,,ml-frameworks,https://github.com/pytorchbearer/torchbearer,https://github.com/pytorchbearer/torchbearer,MIT,2018-03-12 16:30:42.000000,2021-03-26 19:56:57.000000,2021-03-26 19:56:57.000000,64,8.0,237.0,590,430.0,torchbearer: A model fitting library for PyTorch.,13.0,21,True,2020-01-31 14:07:22.000000,0.5.3,24.0,torchbearer,,,,['pytorch'],47.0,41.0,https://pypi.org/project/torchbearer,2020-01-31 14:05:56.000000,6.0,1631.0,1631.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n573,Mapbox GL,mapbox/mapboxgl-jupyter,,geospatial-data,https://github.com/mapbox/mapboxgl-jupyter,https://github.com/mapbox/mapboxgl-jupyter,MIT,2017-08-08 15:10:51.000000,2021-03-02 19:26:30.000000,2019-12-03 21:57:25.000000,121,35.0,67.0,562,220.0,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,20.0,21,False,2019-06-03 21:24:10.000000,0.10.2,20.0,mapboxgl,,,,['jupyter'],113.0,95.0,https://pypi.org/project/mapboxgl,2019-06-02 15:18:57.000000,18.0,6739.0,6739.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n574,Labml,lab-ml/labml,,ml-experiments,https://github.com/lab-ml/labml,https://github.com/lab-ml/labml,MIT,2018-11-16 09:34:48.000000,2021-04-08 10:17:05.000000,2021-04-08 10:16:59.000000,42,,6.0,530,972.0,Monitor deep learning model training and hardware usage from your mobile phone.,6.0,21,True,2021-04-08 09:36:13.000000,0.4.113,91.0,labml,,,,,22.0,22.0,https://pypi.org/project/labml,2021-04-08 10:15:42.000000,0.0,1626.0,1626.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n575,Caer,jasmcaus/caer,,image,https://github.com/jasmcaus/caer,https://github.com/jasmcaus/caer,MIT,2020-08-06 18:36:14.000000,2021-04-07 14:18:54.000000,2021-04-07 14:20:42.000000,62,5.0,9.0,468,4887.0,\"A lightweight Computer Vision library. Scale your models, not boilerplate.\",5.0,21,True,2021-01-28 14:06:10.000000,1.9.8,109.0,caer,,,https://caer.rtfd.io,,0.0,,https://pypi.org/project/caer,2021-01-28 14:06:10.000000,0.0,10165.0,10166.0,,,,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,,,,\n576,Poutyne,GRAAL-Research/poutyne,,pytorch-utils,https://github.com/GRAAL-Research/poutyne,https://github.com/GRAAL-Research/poutyne,LGPL-3.0,2017-12-07 18:30:17.000000,2021-04-08 02:26:42.000000,2021-03-24 15:11:22.000000,49,7.0,35.0,463,530.0,A simplified framework and utilities for PyTorch.,15.0,21,False,2021-03-05 18:27:25.000000,1.3.1,20.0,poutyne,,,,['pytorch'],60.0,56.0,https://pypi.org/project/poutyne,2021-03-05 18:27:57.000000,4.0,1393.0,1393.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n577,Neuraxle,Neuraxio/Neuraxle,,hyperopt,https://github.com/Neuraxio/Neuraxle,https://github.com/Neuraxio/Neuraxle,Apache-2.0,2019-03-26 21:01:54.000000,2021-04-02 18:23:37.000000,2021-03-30 14:59:37.000000,41,130.0,145.0,394,1411.0,A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right..,7.0,21,True,2021-02-25 16:05:06.000000,0.5.7,20.0,neuraxle,,,,,18.0,18.0,https://pypi.org/project/neuraxle,2021-02-25 16:00:44.000000,0.0,490.0,490.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n578,pydlm,wwrechard/pydlm,,time-series-data,https://github.com/wwrechard/pydlm,https://github.com/wwrechard/pydlm,BSD-3-Clause,2016-06-29 07:58:53.000000,2021-02-24 14:21:28.000000,2019-10-22 07:18:40.000000,85,35.0,8.0,379,362.0,A python library for Bayesian time series modeling.,6.0,21,False,2016-11-06 01:43:35.000000,0.1.1,13.0,pydlm,,,,,20.0,18.0,https://pypi.org/project/pydlm,2018-12-19 10:27:54.000000,2.0,28824.0,28824.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n579,optunity,claesenm/optunity,,hyperopt,https://github.com/claesenm/optunity,https://github.com/claesenm/optunity,BSD-3-Clause,2014-05-28 17:29:11.000000,2020-05-11 14:32:39.000000,2020-05-11 14:32:38.000000,72,46.0,48.0,366,782.0,optimization routines for hyperparameter tuning.,9.0,21,True,2015-09-30 05:02:00.000000,1.1.1,6.0,optunity,,,,,82.0,58.0,https://pypi.org/project/optunity,2015-09-30 05:02:00.000000,24.0,14709.0,14709.0,,,,,,,,3.0,62.0,,,,,,,,,,,,,,,,,,,,,\n580,Pandas Summary,mouradmourafiq/pandas-summary,,data-containers,https://github.com/mouradmourafiq/pandas-summary,https://github.com/mouradmourafiq/pandas-summary,MIT,2016-03-25 21:59:32.000000,2019-08-24 21:10:25.000000,2019-08-24 21:10:24.000000,36,8.0,5.0,361,24.0,An extension to pandas dataframes describe function.,6.0,21,False,2016-08-30 07:54:59.000000,0.0.41,8.0,pandas-summary,,,,['pandas'],675.0,585.0,https://pypi.org/project/pandas-summary,2016-08-30 07:54:59.000000,90.0,31365.0,31365.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n581,torch-cluster,rusty1s/pytorch_cluster,,graph,https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06.000000,2021-03-06 06:14:10.000000,2021-03-06 06:14:04.000000,71,38.0,40.0,355,521.0,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,18.0,21,True,2021-03-01 13:58:47.000000,1.5.9,39.0,torch-cluster,,,,['pytorch'],32.0,,https://pypi.org/project/torch-cluster,2021-03-01 12:28:43.000000,32.0,7971.0,7971.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n582,Submit it,facebookincubator/submitit,,distributed-ml,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09.000000,2021-04-08 08:19:21.000000,2021-04-01 13:33:42.000000,22,13.0,23.0,328,59.0,Python 3.6+ toolbox for submitting jobs to Slurm.,11.0,21,True,2021-04-08 08:01:58.000000,1.3.2,13.0,submitit,conda-forge/submitit,,,,110.0,110.0,https://pypi.org/project/submitit,2021-04-08 08:01:58.000000,0.0,4977.0,5239.0,https://anaconda.org/conda-forge/submitit,2021-02-10 12:48:57.745000,2100.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n583,joypy,sbebo/joypy,,data-viz,https://github.com/sbebo/joypy,https://github.com/sbebo/joypy,MIT,2017-07-30 17:18:50.000000,2021-04-02 15:12:19.000000,2021-04-02 15:10:14.000000,32,5.0,36.0,324,110.0,Joyplots in Python with matplotlib & pandas.,5.0,21,True,2020-12-28 11:54:36.000000,0.2.4,16.0,joypy,conda-forge/joypy,,,,77.0,71.0,https://pypi.org/project/joypy,2020-12-28 11:54:36.000000,6.0,4541.0,4897.0,https://anaconda.org/conda-forge/joypy,2020-12-28 14:07:53.760000,8922.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n584,scikit-rebate,EpistasisLab/scikit-rebate,,others,https://github.com/EpistasisLab/scikit-rebate,https://github.com/EpistasisLab/scikit-rebate,MIT,2016-09-19 13:36:17.000000,2021-03-20 17:11:52.000000,2021-02-15 17:10:59.000000,58,13.0,18.0,314,283.0,\"A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for..\",13.0,21,True,2017-04-12 16:12:01.000000,0.3.4,13.0,skrebate,,,,['sklearn'],187.0,125.0,https://pypi.org/project/skrebate,2021-03-20 17:11:52.000000,62.0,2036.0,2036.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n585,ploomber,ploomber/ploomber,,data-pipelines,https://github.com/ploomber/ploomber,https://github.com/ploomber/ploomber,Apache-2.0,2020-01-20 20:13:06.000000,2021-04-08 05:16:18.000000,2021-03-14 23:27:48.000000,3,39.0,248.0,254,1714.0,\"Lean Data Science workflows: develop and test locally. Deploy to Kubernetes, Airflow, or any web framework.\",4.0,21,True,2021-03-07 17:10:50.000000,0.9.5,38.0,ploomber,,,,,13.0,13.0,https://pypi.org/project/ploomber,2021-03-07 17:10:50.000000,0.0,3563.0,3563.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n586,SUOD,yzhao062/SUOD,,others,https://github.com/yzhao062/SUOD,https://github.com/yzhao062/SUOD,BSD-2-Clause,2019-11-20 00:23:54.000000,2021-01-19 14:42:08.000000,2021-01-19 14:42:01.000000,29,3.0,2.0,253,134.0,(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection).,1.0,21,True,2021-01-15 02:12:04.000000,0.0.6,7.0,suod,,,,,299.0,299.0,https://pypi.org/project/suod,2021-01-15 02:12:04.000000,,19764.0,19764.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n587,datatest,shawnbrown/datatest,,data-loading,https://github.com/shawnbrown/datatest,https://github.com/shawnbrown/datatest,Apache-2.0,2016-05-12 13:16:27.000000,2021-04-05 06:33:41.000000,2021-04-05 06:32:44.000000,12,9.0,42.0,237,2159.0,Tools for test driven data-wrangling and data validation.,6.0,21,True,2021-01-04 03:43:58.000000,0.11.1,17.0,datatest,,,,,33.0,31.0,https://pypi.org/project/datatest,2021-01-04 03:39:40.000000,2.0,7643.0,7643.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n588,Auto ViML,AutoViML/Auto_ViML,,hyperopt,https://github.com/AutoViML/Auto_ViML,https://github.com/AutoViML/Auto_ViML,Apache-2.0,2019-06-10 13:09:15.000000,2021-03-21 12:25:19.000000,2021-03-21 12:20:51.000000,53,3.0,14.0,225,287.0,Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome...,6.0,21,True,2021-03-20 02:12:20.000000,0.1.679,129.0,autoviml,,,,,13.0,13.0,https://pypi.org/project/autoviml,2021-03-21 12:25:19.000000,0.0,4516.0,4516.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n589,quinn,MrPowers/quinn,,ml-experiments,https://github.com/MrPowers/quinn,https://github.com/MrPowers/quinn,Apache-2.0,2017-09-15 13:02:42.000000,2021-03-27 14:31:44.000000,2021-02-09 04:48:07.000000,27,17.0,9.0,222,110.0,pyspark methods to enhance developer productivity.,6.0,21,True,2021-02-06 15:21:04.000000,0.9.0,12.0,quinn,,,,['spark'],6.0,,https://pypi.org/project/quinn,2021-02-06 15:21:04.000000,6.0,191642.0,191642.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n590,StaticFrame,InvestmentSystems/static-frame,,data-containers,https://github.com/InvestmentSystems/static-frame,https://github.com/InvestmentSystems/static-frame,MIT,2018-01-03 15:07:52.000000,2021-04-06 23:45:33.000000,2021-03-31 03:17:01.000000,22,25.0,269.0,219,2456.0,Immutable and grow-only Pandas-like DataFrames with a more explicit and consistent interface.,16.0,21,True,2021-03-31 04:29:58.000000,0.8.6,104.0,static-frame,conda-forge/static-frame,,,,6.0,6.0,https://pypi.org/project/static-frame,2021-03-17 21:12:08.000000,0.0,1170.0,4119.0,https://anaconda.org/conda-forge/static-frame,2021-03-31 11:55:57.289000,76691.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n591,fletcher,xhochy/fletcher,,data-containers,https://github.com/xhochy/fletcher,https://github.com/xhochy/fletcher,MIT,2018-03-04 16:44:22.000000,2021-02-18 14:46:18.000000,2021-02-18 14:46:18.000000,33,34.0,40.0,213,520.0,Pandas ExtensionDType/Array backed by Apache Arrow.,24.0,21,True,2021-01-17 20:11:01.000000,0.7.2,16.0,fletcher,conda-forge/fletcher,,,['pandas'],3.0,3.0,https://pypi.org/project/fletcher,2021-01-17 20:11:01.000000,0.0,708.0,1369.0,https://anaconda.org/conda-forge/fletcher,2021-01-17 21:23:17.140000,21838.0,,,,,3.0,12.0,,,,,,,,,,,,,,,,,,,,,\n592,scikit-posthocs,maximtrp/scikit-posthocs,,probabilistics,https://github.com/maximtrp/scikit-posthocs,https://github.com/maximtrp/scikit-posthocs,MIT,2017-06-22 19:41:37.000000,2021-03-17 06:05:27.000000,2021-03-15 16:05:26.000000,21,4.0,36.0,191,453.0,Multiple Pairwise Comparisons (Post Hoc) Tests in Python.,8.0,21,True,2021-03-17 06:05:28.000000,0.6.7,21.0,scikit-posthocs,,,,['sklearn'],6.0,,https://pypi.org/project/scikit-posthocs,2021-03-15 16:05:51.000000,6.0,12959.0,12959.0,,,,,,,,3.0,19.0,,,,,,,,,,,,,,,,,,,,,\n593,PyStan,stan-dev/pystan,,probabilistics,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,ISC,2017-03-06 19:56:42.094000,2021-04-04 10:51:29.000000,2021-04-04 10:51:29.000000,15,12.0,107.0,58,,\"PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io.\",6.0,21,False,2013-09-28 22:06:09.000000,0.2.2,58.0,pystan,conda-forge/pystan,,,,342.0,,https://pypi.org/project/pystan,2021-02-25 11:06:51.000000,342.0,1060491.0,1079660.0,https://anaconda.org/conda-forge/pystan,2020-08-25 22:40:14.631000,939326.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n594,Dejavu,worldveil/dejavu,,audio,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35.000000,2020-10-29 17:40:17.000000,2020-06-03 05:58:03.000000,1250,84.0,129.0,5370,146.0,Audio fingerprinting and recognition in Python.,23.0,20,True,2015-04-19 21:20:16.000000,0.1.3,4.0,PyDejavu,,,,,20.0,17.0,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16.000000,3.0,136.0,136.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n595,Qlib,microsoft/qlib,,financial-data,https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000000,2021-04-08 03:54:01.000000,2021-03-30 09:25:26.000000,750,110.0,96.0,4760,,\"Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research,..\",39.0,20,True,2021-02-02 09:29:47.000000,0.6.2,16.0,pyqlib,,,,['pytorch'],1.0,1.0,https://pypi.org/project/pyqlib,2021-02-02 09:29:47.000000,,4045.0,4077.0,,,,,,,,3.0,227.0,,,,,,,,,,,,,,,,,,,,,\n596,MindsDB,mindsdb/mindsdb,,ml-frameworks,https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,GPL-3.0,2018-08-02 17:56:45.000000,2021-04-08 12:51:23.000000,2021-04-07 09:30:18.000000,435,43.0,515.0,3657,,Predictive AI layer for existing databases.,56.0,20,False,2021-02-24 14:31:35.000000,2.22.0,42.0,mindsdb,,,,['pytorch'],6.0,,https://pypi.org/project/mindsdb,2019-03-19 05:07:23.000000,6.0,2696.0,2696.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n597,TTS,mozilla/TTS,,audio,https://github.com/mozilla/TTS,https://github.com/mozilla/TTS,MPL-2.0,2018-01-23 14:22:06.000000,2021-03-29 03:09:27.000000,2021-02-12 10:36:31.000000,708,31.0,454.0,3403,2184.0,Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts).,55.0,20,True,2021-01-29 00:03:56.000000,0.0.9,1.0,,,,,,,,,,,,107.0,,,,,,,,3.0,323.0,,,,,,,,,,,,,,,,,,,,,\n598,DALI,NVIDIA/DALI,,gpu-utilities,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000000,2021-04-08 14:30:36.000000,2021-04-07 12:07:39.000000,381,188.0,680.0,3203,1802.0,A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to..,57.0,20,True,2021-03-24 15:26:19.000000,1.0.0,38.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n599,FATE,FederatedAI/FATE,,privacy-ml,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000000,2021-04-08 08:00:47.000000,2021-04-06 06:35:37.000000,853,289.0,540.0,2935,7576.0,An Industrial Grade Federated Learning Framework.,55.0,20,True,2021-03-31 14:56:10.000000,1.6.0,26.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n600,AdaBound,Luolc/AdaBound,,pytorch-utils,https://github.com/Luolc/AdaBound,https://github.com/Luolc/AdaBound,Apache-2.0,2019-02-15 18:05:20.000000,2019-03-06 17:01:52.000000,2019-03-06 17:01:45.000000,327,16.0,7.0,2839,27.0,An optimizer that trains as fast as Adam and as good as SGD.,2.0,20,False,2019-03-06 16:44:42.000000,0.0.5,4.0,adabound,,,,['pytorch'],117.0,105.0,https://pypi.org/project/adabound,2019-02-26 04:23:45.000000,12.0,1462.0,1462.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n601,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,,graph,https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16.000000,2021-04-01 06:01:01.000000,2021-03-29 19:01:19.000000,370,41.0,104.0,2740,143.0,Generate embeddings from large-scale graph-structured data.,20.0,20,True,2019-10-14 16:45:11.000000,1.0.0,3.0,torchbiggraph,,,,['pytorch'],4.0,,https://pypi.org/project/torchbiggraph,2019-05-01 21:31:13.000000,4.0,1454.0,1458.0,,,,,,,,3.0,112.0,,,,,,,,,,,,,,,,,,,,,\n602,tf-quant-finance,google/tf-quant-finance,,financial-data,https://github.com/google/tf-quant-finance,https://github.com/google/tf-quant-finance,Apache-2.0,2019-07-24 16:09:50.000000,2021-04-07 14:34:08.000000,2021-04-07 14:34:01.000000,318,12.0,11.0,2556,673.0,High-performance TensorFlow library for quantitative finance.,30.0,20,True,,,21.0,tf-quant-finance,,,,['tensorflow'],4.0,4.0,https://pypi.org/project/tf-quant-finance,2021-02-01 16:10:08.000000,0.0,253.0,253.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n603,image-match,EdjoLabs/image-match,,image,https://github.com/EdjoLabs/image-match,https://github.com/EdjoLabs/image-match,Apache-2.0,2016-03-08 18:16:45.000000,2021-01-04 18:36:01.000000,2021-01-04 18:35:59.000000,371,54.0,48.0,2544,404.0,Quickly search over billions of images.,17.0,20,True,2017-02-13 14:54:48.000000,1.1.2,10.0,image_match,,,,,6.0,,https://pypi.org/project/image_match,2017-02-13 14:54:48.000000,6.0,1685.0,1685.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n604,NeMo,NVIDIA/NeMo,,nlp,https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000000,2021-04-08 07:00:57.000000,2021-04-08 06:25:21.000000,444,193.0,301.0,2532,,NeMo: a toolkit for conversational AI.,87.0,20,True,2020-07-10 00:01:18.000000,0.11.0,36.0,nemo-toolkit,,,,['pytorch'],4.0,,https://pypi.org/project/nemo-toolkit,2020-12-11 21:33:53.000000,4.0,5215.0,5261.0,,,,,,,,3.0,875.0,,,,,,,,,,,,,,,,,,,,,\n605,DeepWalk,phanein/deepwalk,,graph,https://github.com/phanein/deepwalk,https://github.com/phanein/deepwalk,GPL-3.0,2014-08-23 03:38:20.000000,2020-04-02 01:05:36.000000,2020-04-02 01:05:35.000000,758,29.0,80.0,2213,46.0,DeepWalk - Deep Learning for Graphs.,10.0,20,False,2018-04-29 21:05:18.000000,1.0.3,4.0,deepwalk,,,,,43.0,36.0,https://pypi.org/project/deepwalk,2018-04-29 21:05:18.000000,7.0,2241.0,2241.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n606,Texthero,jbesomi/texthero,,nlp,https://github.com/jbesomi/texthero,https://github.com/jbesomi/texthero,MIT,2020-04-06 15:16:05.000000,2021-04-08 07:07:32.000000,2021-04-07 16:52:32.000000,187,73.0,49.0,2136,268.0,\"Text preprocessing, representation and visualization from zero to hero.\",18.0,20,True,2020-07-06 20:32:28.000000,1.0.9,9.0,texthero,,,,,0.0,,https://pypi.org/project/texthero,2020-07-06 20:29:25.000000,0.0,5668.0,5673.0,,,,,,,,3.0,65.0,,,,,,,,,,,,,,,,,,,,,\n607,HiPlot,facebookresearch/hiplot,,data-viz,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41.000000,2021-04-06 16:53:49.000000,2021-04-01 06:59:45.000000,92,9.0,53.0,2068,127.0,HiPlot makes understanding high dimensional data easy.,6.0,20,True,2021-03-24 11:12:36.000000,0.1.24,48.0,hiplot,conda-forge/hiplot,,,,2.0,2.0,https://pypi.org/project/hiplot,2021-04-01 07:10:41.000000,0.0,6907.0,10570.0,https://anaconda.org/conda-forge/hiplot,2021-03-24 13:41:04.005000,51288.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n608,Coach,IntelLabs/coach,,reinforcement-learning,https://github.com/IntelLabs/coach,https://github.com/IntelLabs/coach,Apache-2.0,2017-10-01 19:27:43.000000,2021-03-22 10:33:35.000000,2021-02-09 13:54:44.000000,378,80.0,183.0,1955,513.0,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,34.0,20,True,2019-10-10 14:17:10.000000,1.0.1,13.0,rl_coach,,,,,2.0,,https://pypi.org/project/rl_coach,2019-10-10 14:17:10.000000,2.0,244.0,244.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n609,hiddenlayer,waleedka/hiddenlayer,,ml-experiments,https://github.com/waleedka/hiddenlayer,https://github.com/waleedka/hiddenlayer,MIT,2018-05-18 22:34:51.000000,2020-04-24 07:32:11.000000,2020-04-24 06:58:09.000000,199,44.0,33.0,1425,58.0,\"Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.\",6.0,20,True,2018-12-03 04:33:29.000000,0.2,3.0,hiddenlayer,,,,\"['pytorch', 'tensorflow', 'jupyter']\",71.0,63.0,https://pypi.org/project/hiddenlayer,2020-04-24 07:32:11.000000,8.0,3123.0,3123.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n610,DELTA,Delta-ML/delta,,nlp,https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57.000000,2021-04-07 16:33:42.890906,2020-12-17 06:57:15.000000,285,9.0,69.0,1398,932.0,DELTA is a deep learning based natural language and speech processing platform.,41.0,20,True,2020-07-16 09:31:45.000000,0.3.3,4.0,delta-nlp,,zh794390558/delta,,['tensorflow'],,,https://pypi.org/project/delta-nlp,2020-03-27 04:46:19.000000,,41.0,574.0,,,,https://hub.docker.com/r/zh794390558/delta,2021-04-07 16:33:42.890906,,12264.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n611,ThunderSVM,Xtra-Computing/thundersvm,,ml-frameworks,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04.000000,2021-02-10 05:12:44.000000,2021-02-10 05:12:44.000000,169,45.0,145.0,1291,902.0,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,33.0,20,True,2020-03-13 12:36:30.000000,0.3.12,9.0,thundersvm,,,,,,,https://pypi.org/project/thundersvm,2020-03-13 12:36:30.000000,,424.0,464.0,,,,,,,,3.0,2169.0,,,,,,,,,,,,,,,,,,,,,\n612,NiftyNet,NifTK/NiftyNet,,medical-data,https://github.com/NifTK/NiftyNet,https://github.com/NifTK/NiftyNet,Apache-2.0,2017-08-30 07:55:43.000000,2020-04-21 19:54:52.000000,2020-04-21 19:54:51.000000,385,102.0,224.0,1278,2848.0,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,58.0,20,True,2019-10-10 10:59:33.000000,0.6.0,11.0,niftynet,,,,['tensorflow'],1.0,,https://pypi.org/project/niftynet,2019-10-10 10:59:33.000000,1.0,259.0,259.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n613,DLTK,DLTK/DLTK,,medical-data,https://github.com/DLTK/DLTK,https://github.com/DLTK/DLTK,Apache-2.0,2017-05-02 15:40:36.000000,2021-01-15 01:31:30.000000,2019-01-21 14:01:28.000000,385,11.0,24.0,1256,379.0,Deep Learning Toolkit for Medical Image Analysis.,9.0,20,False,2018-02-26 17:43:57.000000,0.2.1,5.0,dltk,,,,['tensorflow'],20.0,20.0,https://pypi.org/project/dltk,2018-02-26 17:43:57.000000,,154.0,154.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n614,Haiku,deepmind/dm-haiku,,ml-frameworks,https://github.com/deepmind/dm-haiku,https://github.com/deepmind/dm-haiku,Apache-2.0,2020-02-18 07:14:02.000000,2021-04-08 11:38:01.000000,2021-04-08 11:37:17.000000,69,19.0,59.0,1066,526.0,JAX-based neural network library.,40.0,20,True,2020-11-24 11:25:05.000000,0.0.3,5.0,,,,,,78.0,78.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n615,TaskTiger,closeio/tasktiger,,data-pipelines,https://github.com/closeio/tasktiger,https://github.com/closeio/tasktiger,MIT,2015-05-14 00:26:32.000000,2021-03-29 20:44:10.000000,2021-03-29 20:41:35.000000,60,37.0,31.0,1061,262.0,Python task queue using Redis.,21.0,20,True,2021-03-29 20:44:54.000000,0.13,24.0,tasktiger,,,,,38.0,20.0,https://pypi.org/project/tasktiger,2021-03-29 20:43:36.000000,18.0,692.0,692.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n616,CausalNex,quantumblacklabs/causalnex,,interpretability,https://github.com/quantumblacklabs/causalnex,https://github.com/quantumblacklabs/causalnex,Apache-2.0,2019-12-12 15:26:09.000000,2021-03-11 21:00:54.000000,2021-03-11 20:50:18.000000,114,34.0,37.0,1057,106.0,A Python library that helps data scientists to infer causation rather than observing correlation.,17.0,20,True,2021-03-11 19:11:06.000000,0.9.2,14.0,causalnex,,,,\"['pytorch', 'sklearn']\",11.0,11.0,https://pypi.org/project/causalnex,2021-03-11 19:11:06.000000,,5585.0,5585.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n617,Sockeye,awslabs/sockeye,,nlp,https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30.000000,2021-04-07 12:00:31.000000,2021-04-07 12:00:29.000000,295,20.0,228.0,992,747.0,Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet.,52.0,20,True,2021-04-07 11:51:17.000000,2.3.14,63.0,sockeye,,,,['mxnet'],2.0,,https://pypi.org/project/sockeye,2021-04-07 11:51:17.000000,2.0,872.0,872.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n618,gplearn,trevorstephens/gplearn,,others,https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14.000000,2020-02-15 08:12:38.000000,2020-02-15 08:12:17.000000,158,33.0,117.0,921,146.0,\"Genetic Programming in Python, with a scikit-learn inspired API.\",10.0,20,False,2019-06-01 02:04:52.000000,0.4.1,5.0,gplearn,,,,['sklearn'],160.0,146.0,https://pypi.org/project/gplearn,2019-06-01 02:04:52.000000,14.0,2126.0,2126.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n619,pyts,johannfaouzi/pyts,,time-series-data,https://github.com/johannfaouzi/pyts,https://github.com/johannfaouzi/pyts,BSD-3-Clause,2017-07-31 09:23:16.000000,2021-04-01 12:14:04.000000,2021-03-31 07:40:39.000000,99,26.0,19.0,915,,A Python package for time series classification.,7.0,20,True,2020-03-21 12:41:33.000000,0.11.0,17.0,pyts,conda-forge/pyts,,,,97.0,93.0,https://pypi.org/project/pyts,2020-03-21 12:36:40.000000,4.0,14283.0,14627.0,https://anaconda.org/conda-forge/pyts,2020-03-21 14:08:24.734000,6885.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n620,geoplotlib,andrea-cuttone/geoplotlib,,geospatial-data,https://github.com/andrea-cuttone/geoplotlib,https://github.com/andrea-cuttone/geoplotlib,MIT,2015-02-24 13:13:07.000000,2020-04-10 20:00:31.000000,2019-05-06 07:06:50.000000,146,24.0,18.0,910,159.0,python toolbox for visualizing geographical data and making maps.,8.0,20,False,2016-07-27 14:55:01.000000,0.3.2,4.0,geoplotlib,,,,,105.0,94.0,https://pypi.org/project/geoplotlib,2016-07-27 14:55:01.000000,11.0,1952.0,1952.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n621,Databolt Flow,d6t/d6tflow,,data-pipelines,https://github.com/d6t/d6tflow,https://github.com/d6t/d6tflow,MIT,2019-02-03 01:51:22.000000,2021-04-03 16:51:52.000000,2021-04-03 16:51:42.000000,68,8.0,12.0,907,203.0,Python library for building highly effective data science workflows.,12.0,20,True,2020-12-19 22:37:20.000000,0.2.2,19.0,d6tflow,,,,,13.0,13.0,https://pypi.org/project/d6tflow,2020-12-19 22:37:20.000000,,427.0,427.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n622,pytorch-forecasting,jdb78/pytorch-forecasting,,time-series-data,https://github.com/jdb78/pytorch-forecasting,https://github.com/jdb78/pytorch-forecasting,MIT,2020-07-03 13:05:24.000000,2021-04-08 14:53:22.000000,2021-04-08 14:33:29.000000,105,32.0,140.0,900,795.0,Time series forecasting with PyTorch.,16.0,20,True,2021-03-07 14:35:09.000000,0.8.4,25.0,pytorch-forecasting,,,,,,,https://pypi.org/project/pytorch-forecasting,2021-03-07 14:35:09.000000,,10030.0,10030.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n623,TFEncrypted,tf-encrypted/tf-encrypted,,privacy-ml,https://github.com/tf-encrypted/tf-encrypted,https://github.com/tf-encrypted/tf-encrypted,Apache-2.0,2018-03-21 18:22:13.000000,2020-11-19 15:48:03.000000,2020-08-19 16:56:56.000000,139,167.0,231.0,840,595.0,A Framework for Encrypted Machine Learning in TensorFlow.,28.0,20,True,2019-09-27 20:00:01.000000,0.5.9,35.0,tf-encrypted,,,,['tensorflow'],62.0,46.0,https://pypi.org/project/tf-encrypted,2019-10-21 18:05:53.000000,16.0,636.0,636.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n624,mrq,pricingassistant/mrq,,data-pipelines,https://github.com/pricingassistant/mrq,https://github.com/pricingassistant/mrq,MIT,2014-02-13 09:32:40.000000,2021-03-31 18:42:38.000000,2020-12-13 18:58:15.000000,113,59.0,119.0,840,709.0,Mr. Queue - A distributed worker task queue in Python using Redis & gevent.,37.0,20,True,2018-08-31 16:03:04.000000,0.9.10,70.0,mrq,,,,,35.0,23.0,https://pypi.org/project/mrq,2018-08-31 16:03:04.000000,12.0,691.0,691.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n625,RecBole,RUCAIBox/RecBole,,recommender-systems,https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000000,2021-04-08 07:55:26.000000,2021-04-06 11:49:25.000000,122,28.0,81.0,835,2970.0,\"A unified, comprehensive and efficient recommendation library.\",36.0,20,True,2021-04-06 09:53:37.000000,0.2.1,5.0,recbole,aibox/recbole,,,['pytorch'],,,https://pypi.org/project/recbole,2021-03-22 14:22:38.000000,,621.0,676.0,https://anaconda.org/aibox/recbole,2021-03-22 14:53:52.593000,276.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n626,DALEX,ModelOriented/DALEX,,interpretability,https://github.com/ModelOriented/DALEX,https://github.com/ModelOriented/DALEX,GPL-3.0,2018-02-18 03:24:12.000000,2021-04-07 09:47:53.000000,2021-04-07 07:28:56.000000,111,13.0,261.0,810,547.0,moDel Agnostic Language for Exploration and eXplanation.,17.0,20,False,2021-02-19 15:24:01.000000,1.0.1,19.0,dalex,,,,,11.0,11.0,https://pypi.org/project/dalex,2021-02-19 15:24:01.000000,0.0,6114.0,6114.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n627,keras-ocr,faustomorales/keras-ocr,,ocr,https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50.000000,2021-03-31 15:57:11.000000,2021-03-31 14:26:39.000000,197,37.0,97.0,808,167.0,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,10.0,20,True,2020-11-26 17:19:39.000000,0.8.6,26.0,keras-ocr,,,,['tensorflow'],2.0,,https://pypi.org/project/keras-ocr,2020-11-26 17:19:39.000000,2.0,3625.0,8071.0,,,,,,,,3.0,31125.0,,,,,,,,,,,,,,,,,,,,,\n628,calamari,Calamari-OCR/calamari,,ocr,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,Apache-2.0,2018-03-20 15:22:29.000000,2021-04-04 11:40:45.000000,2021-03-27 13:13:47.000000,170,24.0,154.0,798,341.0,Line based ATR Engine based on OCRopy.,17.0,20,True,2021-03-20 20:48:12.000000,2.0.2,25.0,calamari_ocr,,,,,2.0,,https://pypi.org/project/calamari_ocr,2018-11-13 11:24:45.000000,2.0,1213.0,1213.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n629,nude.py,hhatto/nude.py,,image,https://github.com/hhatto/nude.py,https://github.com/hhatto/nude.py,MIT,2013-06-09 06:55:55.000000,2020-11-23 13:49:32.000000,2020-11-23 13:49:02.000000,131,6.0,2.0,796,79.0,Nudity detection with Python.,12.0,20,True,2020-11-23 13:49:17.000000,0.5.1,10.0,nudepy,,,,,152.0,134.0,https://pypi.org/project/nudepy,2020-11-23 13:49:17.000000,18.0,1364.0,1364.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n630,TF Recommenders,tensorflow/recommenders,,recommender-systems,https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01.000000,2021-03-26 11:42:43.000000,2021-03-26 11:42:37.000000,89,53.0,62.0,779,,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,20.0,20,True,2021-01-21 00:51:17.000000,0.4.0,8.0,tensorflow-recommenders,,,,['tensorflow'],15.0,15.0,https://pypi.org/project/tensorflow-recommenders,2021-01-21 00:51:17.000000,,13899.0,13899.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n631,AstroML,astroML/astroML,,others,https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50.000000,2021-04-07 06:12:17.000000,2021-04-07 06:12:17.000000,253,48.0,84.0,736,,\"Machine learning, statistics, and data mining for astronomy and astrophysics.\",30.0,20,True,2019-10-02 06:32:58.000000,0.4.1,10.0,astroML,conda-forge/astroml,,,['sklearn'],29.0,,https://pypi.org/project/astroML,2020-03-23 23:20:49.000000,29.0,1793.0,2308.0,https://anaconda.org/conda-forge/astroml,2020-02-16 04:18:54.678000,22694.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n632,YouTokenToMe,vkcom/youtokentome,,nlp,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28.000000,2021-01-28 23:05:01.000000,2021-01-28 19:04:09.000000,46,20.0,22.0,731,79.0,Unsupervised text tokenizer focused on computational efficiency.,6.0,20,True,2020-02-13 09:57:47.000000,1.0.6,14.0,youtokentome,,,,,118.0,106.0,https://pypi.org/project/youtokentome,2020-02-12 18:24:46.000000,12.0,11862.0,11862.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n633,lightly,lightly-ai/lightly,,image,https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000000,2021-04-08 07:48:12.000000,2021-04-08 07:48:11.000000,39,27.0,90.0,715,389.0,A python library for self-supervised learning on images.,7.0,20,True,2021-04-01 08:51:34.000000,1.1.4,15.0,lightly,,,,['pytorch'],10.0,10.0,https://pypi.org/project/lightly,2021-03-23 09:21:12.000000,0.0,807.0,807.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n634,mlens,flennerhag/mlens,,others,https://github.com/flennerhag/mlens,https://github.com/flennerhag/mlens,MIT,2017-01-10 20:53:47.000000,2020-02-25 14:32:48.000000,2020-02-25 14:31:53.000000,88,8.0,73.0,681,879.0,ML-Ensemble high performance ensemble learning.,7.0,20,False,2018-10-30 22:34:35.000000,0.2.3,14.0,mlens,,,,,121.0,118.0,https://pypi.org/project/mlens,2018-10-30 22:30:43.000000,3.0,1793.0,1793.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n635,NearPy,pixelogik/NearPy,,nn-search,https://github.com/pixelogik/NearPy,https://github.com/pixelogik/NearPy,MIT,2013-04-25 09:10:26.000000,2020-02-17 20:24:08.000000,2018-10-21 17:54:28.000000,136,23.0,38.0,670,159.0,\"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..\",18.0,20,False,2016-09-27 13:04:44.000000,1.0.0,8.0,NearPy,,,,,67.0,51.0,https://pypi.org/project/NearPy,2016-09-27 13:03:12.000000,16.0,2334.0,2334.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n636,NGT,yahoojapan/NGT,,nn-search,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000000,2021-03-23 01:41:15.000000,2021-03-15 06:15:49.000000,72,7.0,72.0,646,127.0,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,11.0,20,True,2021-02-14 23:05:20.000000,1.13.4,48.0,ngt,,,,,6.0,,https://pypi.org/project/ngt,2020-09-23 06:52:45.000000,6.0,8852.0,8852.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n637,finetune,IndicoDataSolutions/finetune,,nlp,https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16.000000,2021-04-07 23:18:56.000000,2021-03-19 14:30:51.000000,68,20.0,115.0,636,1201.0,Scikit-learn style model finetuning for NLP.,19.0,20,True,2020-01-10 22:42:24.000000,0.8.6,37.0,finetune,,,,\"['tensorflow', 'sklearn']\",11.0,9.0,https://pypi.org/project/finetune,2020-01-10 22:42:24.000000,2.0,323.0,323.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n638,bambi,bambinos/bambi,,probabilistics,https://github.com/bambinos/bambi,https://github.com/bambinos/bambi,MIT,2016-05-16 03:21:00.000000,2021-04-06 13:34:03.000000,2021-04-06 13:29:11.000000,52,29.0,136.0,599,543.0,BAyesian Model-Building Interface (Bambi) in Python.,16.0,20,True,2021-04-06 13:34:03.000000,0.4.1,12.0,bambi,,,,,16.0,13.0,https://pypi.org/project/bambi,2021-04-06 13:34:03.000000,3.0,549.0,549.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n639,baikal,alegonz/baikal,,others,https://github.com/alegonz/baikal,https://github.com/alegonz/baikal,BSD-3-Clause,2019-01-21 12:59:02.000000,2021-04-06 02:54:23.000000,2021-04-06 02:40:37.000000,28,6.0,12.0,573,403.0,A graph-based functional API for building complex scikit-learn pipelines.,2.0,20,True,2020-11-15 13:40:18.000000,0.4.2,7.0,baikal,conda-forge/cython-blis,,,,3.0,3.0,https://pypi.org/project/baikal,2020-11-15 13:40:18.000000,,162.0,20414.0,https://anaconda.org/conda-forge/cython-blis,2021-01-31 09:13:47.685000,506302.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n640,lets-plot,JetBrains/lets-plot,,data-viz,https://github.com/JetBrains/lets-plot,https://github.com/JetBrains/lets-plot,MIT,2019-03-20 16:13:03.000000,2021-04-08 14:36:14.000000,2021-04-06 13:34:26.000000,16,65.0,90.0,532,1912.0,An open-source plotting library for statistical data.,15.0,20,True,2021-03-17 14:52:16.000000,2.0.1,30.0,lets-plot,,,,,7.0,7.0,https://pypi.org/project/lets-plot,2021-03-17 14:43:58.000000,,5851.0,5851.0,,,,,,,,3.0,5.0,,,,,,,,,,,,,,,,,,,,,\n641,pyhsmm,mattjj/pyhsmm,,probabilistics,https://github.com/mattjj/pyhsmm,https://github.com/mattjj/pyhsmm,MIT,2012-03-18 17:40:13.000000,2020-09-29 20:58:26.000000,2020-08-24 17:03:59.000000,151,34.0,60.0,485,1426.0,Bayesian inference in HSMMs and HMMs.,13.0,20,True,2017-05-10 17:14:37.000000,0.1.7,8.0,pyhsmm,,,,,26.0,18.0,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37.000000,8.0,211.0,211.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n642,What-If Tool,PAIR-code/what-if-tool,,interpretability,https://github.com/PAIR-code/what-if-tool,https://github.com/PAIR-code/what-if-tool,Apache-2.0,2018-09-07 20:26:10.000000,2021-03-31 09:17:26.000000,2021-03-17 12:46:20.000000,99,36.0,37.0,478,319.0,Source code/webpage/demos for the What-If Tool.,19.0,20,True,2021-01-19 14:40:37.214000,1.8.0,38.0,witwidget,,,,,0.0,,https://pypi.org/project/witwidget,2021-01-19 14:40:21.000000,0.0,8292.0,12176.0,,,,,,,,3.0,,,,wit-widget,https://www.npmjs.com/package/wit-widget,2021-01-19 14:40:37.214000,,3884.0,,,,,,,,,,,,,,\n643,HpBandSter,automl/HpBandSter,,hyperopt,https://github.com/automl/HpBandSter,https://github.com/automl/HpBandSter,BSD-3-Clause,2017-12-17 20:28:20.000000,2021-01-31 10:05:37.000000,2019-03-26 09:26:28.000000,98,57.0,35.0,460,187.0,a distributed Hyperband implementation on Steroids.,11.0,20,False,2019-07-30 12:47:43.000000,1.0,8.0,hpbandster,,,,,148.0,132.0,https://pypi.org/project/hpbandster,2018-11-06 12:56:55.000000,16.0,21937.0,21937.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n644,scikit-lego,koaning/scikit-lego,,sklearn-utils,https://github.com/koaning/scikit-lego,https://github.com/koaning/scikit-lego,MIT,2019-01-21 15:30:15.000000,2021-04-07 07:04:33.000000,2021-04-07 07:04:33.000000,71,20.0,191.0,457,,Extra blocks for scikit-learn pipelines.,45.0,20,True,2021-03-16 21:20:30.000000,0.6.5,32.0,scikit-lego,conda-forge/scikit-lego,,,['sklearn'],20.0,20.0,https://pypi.org/project/scikit-lego,2021-04-02 07:44:02.000000,0.0,2802.0,3350.0,https://anaconda.org/conda-forge/scikit-lego,2020-11-02 09:40:04.581000,9872.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n645,seglearn,dmbee/seglearn,,time-series-data,https://github.com/dmbee/seglearn,https://github.com/dmbee/seglearn,BSD-3-Clause,2018-03-05 20:53:59.000000,2021-03-13 16:18:30.000000,2021-03-12 17:12:50.000000,47,5.0,22.0,437,268.0,Python module for machine learning time series:.,13.0,20,True,2021-03-13 16:18:30.000000,1.2.3,22.0,seglearn,,,,,8.0,7.0,https://pypi.org/project/seglearn,2021-03-13 16:18:30.000000,1.0,2271.0,2271.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n646,explainerdashboard,oegedijk/explainerdashboard,,interpretability,https://github.com/oegedijk/explainerdashboard,https://github.com/oegedijk/explainerdashboard,MIT,2019-10-30 08:26:16.000000,2021-03-22 19:12:21.000000,2021-03-22 18:53:59.000000,50,7.0,79.0,435,601.0,Quickly build Explainable AI dashboards that show the inner workings of so-called blackbox machine learning models.,8.0,20,True,2021-03-22 19:11:53.000000,0.3.3.1,72.0,explainerdashboard,,,,,12.0,12.0,https://pypi.org/project/explainerdashboard,2021-03-22 19:12:21.000000,,6436.0,6436.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n647,pivottablejs,nicolaskruchten/jupyter_pivottablejs,,data-viz,https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,MIT,2015-09-09 13:39:18.000000,2018-12-04 14:43:26.000000,2018-12-04 14:43:25.000000,58,16.0,37.0,431,32.0,\"Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js.\",3.0,20,False,2018-01-15 18:14:37.000000,0.9.0,10.0,pivottablejs,,,,['jupyter'],187.0,153.0,https://pypi.org/project/pivottablejs,2018-01-15 18:14:37.000000,34.0,8138.0,8138.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n648,PyWaffle,gyli/PyWaffle,,data-viz,https://github.com/gyli/PyWaffle,https://github.com/gyli/PyWaffle,MIT,2017-11-14 20:03:47.000000,2020-07-26 23:22:17.000000,2020-07-26 23:22:13.000000,65,2.0,10.0,410,249.0,Make Waffle Charts in Python.,6.0,20,True,2020-07-26 19:16:45.000000,0.6.1,22.0,pywaffle,,,,,46.0,46.0,https://pypi.org/project/pywaffle,2020-07-26 19:16:45.000000,,1592.0,1592.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n649,skope-rules,scikit-learn-contrib/skope-rules,,sklearn-utils,https://github.com/scikit-learn-contrib/skope-rules,https://github.com/scikit-learn-contrib/skope-rules,BSD-1-Clause,2018-02-18 13:42:47.000000,2020-12-11 14:42:41.000000,2020-10-23 14:31:57.000000,61,23.0,5.0,364,247.0,machine learning with logical rules in Python.,18.0,20,False,2020-12-11 09:37:02.000000,1.0.1,4.0,skope-rules,,,,['sklearn'],34.0,28.0,https://pypi.org/project/skope-rules,2020-01-25 12:01:37.000000,6.0,26321.0,26321.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n650,BioPandas,rasbt/biopandas,,others,https://github.com/rasbt/biopandas,https://github.com/rasbt/biopandas,BSD-3-Clause,2015-11-21 00:00:14.000000,2021-04-07 03:17:51.000000,2021-04-07 03:17:51.000000,77,15.0,21.0,332,,Working with molecular structures in pandas DataFrames.,7.0,20,True,2021-03-03 00:55:13.000000,0.2.8,12.0,biopandas,conda-forge/biopandas,,,['pandas'],59.0,53.0,https://pypi.org/project/biopandas,2021-03-03 00:55:13.000000,6.0,771.0,2144.0,https://anaconda.org/conda-forge/biopandas,2020-08-08 06:33:59.197000,71407.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n651,MedPy,loli/medpy,,medical-data,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34.000000,2020-05-01 15:25:39.000000,2020-05-01 15:25:38.000000,106,10.0,66.0,328,324.0,Medical image processing in Python.,13.0,20,False,2019-02-14 17:12:59.000000,0.4.0,6.0,MedPy,,,,,274.0,244.0,https://pypi.org/project/MedPy,2019-02-14 17:12:59.000000,30.0,6399.0,6399.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n652,DESlib,scikit-learn-contrib/DESlib,,sklearn-utils,https://github.com/scikit-learn-contrib/DESlib,https://github.com/scikit-learn-contrib/DESlib,BSD-3-Clause,2017-12-08 22:49:49.000000,2021-04-08 07:47:51.000000,2021-04-08 07:47:40.000000,73,14.0,127.0,320,271.0,A Python library for dynamic classifier and ensemble selection.,13.0,20,True,2021-02-08 06:29:25.000000,0.3.5,4.0,deslib,,,,['sklearn'],15.0,15.0,https://pypi.org/project/deslib,2021-02-08 06:29:25.000000,0.0,541.0,541.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n653,sklearn-evaluation,edublancas/sklearn-evaluation,,interpretability,https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2015-09-04 16:33:42.000000,2021-03-28 18:20:55.000000,2021-03-28 18:13:37.000000,27,9.0,28.0,298,516.0,\"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook..\",5.0,20,True,2021-03-28 18:21:46.000000,0.5.5,17.0,sklearn-evaluation,,,,['sklearn'],29.0,27.0,https://pypi.org/project/sklearn-evaluation,2021-03-28 18:20:55.000000,2.0,659.0,659.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n654,textpipe,textpipe/textpipe,,nlp,https://github.com/textpipe/textpipe,https://github.com/textpipe/textpipe,MIT,2018-06-21 16:23:32.000000,2021-03-29 09:42:04.000000,2021-01-25 14:01:56.000000,20,21.0,25.0,284,370.0,Textpipe: clean and extract metadata from text.,27.0,20,True,2021-01-25 14:05:21.000000,0.12.2,39.0,textpipe,,,,,8.0,7.0,https://pypi.org/project/textpipe,2021-01-25 14:05:21.000000,1.0,2370.0,2370.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n655,impyute,eltonlaw/impyute,,others,https://github.com/eltonlaw/impyute,https://github.com/eltonlaw/impyute,MIT,2017-01-21 09:16:27.000000,2020-06-12 21:08:40.000000,2019-10-05 20:39:08.000000,41,26.0,36.0,277,289.0,Data imputations library to preprocess datasets with missing data.,9.0,20,False,2019-04-29 02:31:32.000000,0.0.8,8.0,impyute,,,,,89.0,85.0,https://pypi.org/project/impyute,2019-04-29 02:31:32.000000,4.0,3498.0,3498.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n656,FiftyOne,voxel51/fiftyone,,data-viz,https://github.com/voxel51/fiftyone,https://github.com/voxel51/fiftyone,Apache-2.0,2020-04-22 13:43:28.000000,2021-04-06 21:11:44.000000,2021-04-06 16:42:43.000000,22,133.0,243.0,244,5467.0,\"Visualize, create, and debug image and video datasets and model predictions.\",11.0,20,True,2021-04-05 21:31:34.000000,0.8.0,47.0,fiftyone,,,,\"['tensorflow', 'pytorch', 'jupyter']\",,,https://pypi.org/project/fiftyone,2021-04-06 21:11:44.000000,,1513.0,1513.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n657,EarthPy,earthlab/earthpy,,geospatial-data,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000000,2021-04-07 02:53:17.000000,2021-04-06 22:04:33.000000,108,19.0,201.0,243,,A package built to support working with spatial data using open source python.,39.0,20,True,2020-06-18 23:58:08.000000,0.9.2,22.0,earthpy,conda-forge/earthpy,,,,92.0,86.0,https://pypi.org/project/earthpy,2020-06-18 23:58:08.000000,6.0,3211.0,4480.0,https://anaconda.org/conda-forge/earthpy,2020-06-19 15:23:44.425000,30463.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n658,Brainiak,brainiak/brainiak,,medical-data,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27.000000,2021-02-19 18:46:29.000000,2021-02-19 18:46:29.000000,111,63.0,119.0,239,390.0,Brain Imaging Analysis Kit.,32.0,20,True,2019-08-27 23:52:29.000000,0.9.1,15.0,brainiak,,brainiak/brainiak,,,13.0,12.0,https://pypi.org/project/brainiak,2020-10-15 20:45:08.000000,1.0,358.0,366.0,,,,https://hub.docker.com/r/brainiak/brainiak,2020-10-15 21:11:03.379549,1.0,514.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n659,ivis,beringresearch/ivis,,data-viz,https://github.com/beringresearch/ivis,https://github.com/beringresearch/ivis,Apache-2.0,2018-08-13 08:31:01.000000,2021-04-01 22:53:14.000000,2021-04-01 22:53:14.000000,21,4.0,41.0,225,523.0,Dimensionality reduction in very large datasets using Siamese Networks.,8.0,20,True,2021-01-06 17:09:59.000000,2.0.1,27.0,ivis,,,,['tensorflow'],14.0,14.0,https://pypi.org/project/ivis,2021-01-06 17:07:15.000000,0.0,956.0,956.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n660,gokart,m3dev/gokart,,ml-experiments,https://github.com/m3dev/gokart,https://github.com/m3dev/gokart,MIT,2018-12-23 07:40:27.000000,2021-04-06 19:56:34.000000,2021-03-16 04:05:36.000000,28,9.0,27.0,169,330.0,A wrapper of the data pipeline library luigi.,24.0,20,True,2021-03-16 04:12:00.000000,0.3.28,51.0,gokart,,,,,2.0,,https://pypi.org/project/gokart,2020-02-25 06:01:19.000000,2.0,1503.0,1503.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n661,Glow,projectglow/glow,,medical-data,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47.000000,2021-04-06 13:17:17.000000,2021-04-06 13:17:17.000000,44,25.0,57.0,165,317.0,An open-source toolkit for large-scale genomic analysis.,11.0,20,True,2021-02-09 17:45:43.000000,1.0.0,10.0,glow.py,,,,,,,https://pypi.org/project/glow.py,2021-02-08 22:11:48.000000,,14164.0,14164.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n662,BytePS,bytedance/byteps,,distributed-ml,https://github.com/bytedance/byteps,https://github.com/bytedance/byteps,Apache-2.0,2019-06-25 07:00:13.000000,2021-03-30 17:50:38.000000,2021-03-30 17:50:35.000000,379,82.0,147.0,2762,415.0,A high performance and generic framework for distributed DNN training.,18.0,19,True,2020-08-27 15:42:13.000000,0.2.4,7.0,byteps,,bytepsimage/tensorflow,,,,,https://pypi.org/project/byteps,2020-11-04 00:05:46.000000,,225.0,272.0,,,,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,1052.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n663,StreamAlert,airbnb/streamalert,,others,https://github.com/airbnb/streamalert,https://github.com/airbnb/streamalert,Apache-2.0,2017-01-22 01:10:56.000000,2021-04-07 19:54:09.000000,2021-02-10 05:03:05.000000,289,90.0,247.0,2503,1893.0,\"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data..\",31.0,19,True,2020-10-05 21:50:56.000000,3.4.1,27.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n664,Apache Singa,apache/singa,,distributed-ml,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000000,2021-04-04 02:56:39.000000,2021-01-15 13:09:22.000000,607,40.0,35.0,2186,2265.0,a distributed deep learning platform.,70.0,19,True,2020-04-21 08:01:08.000000,3.0.0,14.0,,nusdbsystem/singa,apache/singa,,,1.0,1.0,,,,,7.0,https://anaconda.org/nusdbsystem/singa,2021-01-20 03:00:28.355000,266.0,https://hub.docker.com/r/apache/singa,2019-06-04 04:32:52.195956,2.0,165.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n665,Kashgari,BrikerMan/Kashgari,,nlp,https://github.com/BrikerMan/Kashgari,https://github.com/BrikerMan/Kashgari,Apache-2.0,2019-01-19 01:53:28.000000,2021-03-21 02:20:20.000000,2021-03-21 02:20:20.000000,391,32.0,313.0,2074,,Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-..,19.0,19,True,2020-10-30 12:37:01.000000,2.0.1,23.0,kashgari-tf,,,,['tensorflow'],30.0,28.0,https://pypi.org/project/kashgari-tf,2019-10-18 07:57:55.000000,2.0,211.0,211.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n666,cuML,rapidsai/cuml,,gpu-utilities,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000000,2021-04-08 09:03:51.000000,2021-04-08 01:10:39.000000,323,629.0,1067.0,2073,,cuML - RAPIDS Machine Learning Library.,124.0,19,True,2021-02-24 21:41:14.000000,0.18.0,8.0,cuml,,,,,0.0,,https://pypi.org/project/cuml,2020-06-01 20:09:10.000000,0.0,942.0,942.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n667,pdftabextract,WZBSocialScienceCenter/pdftabextract,,ocr,https://github.com/WZBSocialScienceCenter/pdftabextract,https://github.com/WZBSocialScienceCenter/pdftabextract,Apache-2.0,2016-07-08 11:44:46.000000,2020-12-28 00:52:23.000000,2018-10-26 13:57:02.000000,331,3.0,18.0,1907,168.0,A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.,2.0,19,False,2018-01-09 08:00:24.000000,0.3.0,5.0,pdftabextract,,,,,37.0,36.0,https://pypi.org/project/pdftabextract,2018-01-09 08:00:24.000000,1.0,420.0,420.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n668,Mara Pipelines,mara/mara-pipelines,,data-pipelines,https://github.com/mara/mara-pipelines,https://github.com/mara/mara-pipelines,MIT,2018-03-31 20:37:22.000000,2021-03-08 23:02:36.000000,2021-03-08 23:02:33.000000,80,11.0,12.0,1662,134.0,\"A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow.\",16.0,19,True,2021-01-23 22:34:03.000000,3.1.2,7.0,mara-pipelines,,,,,7.0,7.0,https://pypi.org/project/mara-pipelines,2021-01-23 22:34:03.000000,,161.0,161.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n669,checklist,marcotcr/checklist,,interpretability,https://github.com/marcotcr/checklist,https://github.com/marcotcr/checklist,MIT,2020-03-09 17:18:49.000000,2021-03-31 23:37:08.000000,2021-03-30 06:59:43.000000,114,4.0,64.0,1317,224.0,Beyond Accuracy: Behavioral Testing of NLP models with CheckList.,10.0,19,True,2020-09-21 18:30:40.000000,0.0.10,9.0,checklist,,,,['jupyter'],8.0,6.0,https://pypi.org/project/checklist,2020-09-21 18:30:40.000000,2.0,931.0,931.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n670,TensorNets,taehoonlee/tensornets,,tensorflow-utils,https://github.com/taehoonlee/tensornets,https://github.com/taehoonlee/tensornets,MIT,2017-09-19 05:19:01.000000,2021-01-02 06:28:10.000000,2021-01-02 06:26:24.000000,188,14.0,42.0,985,284.0,High level network definitions with pre-trained weights in TensorFlow.,6.0,19,True,2020-03-31 04:38:27.000000,0.4.6,12.0,tensornets,,,,['tensorflow'],37.0,33.0,https://pypi.org/project/tensornets,2020-03-31 04:35:15.000000,4.0,210.0,210.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n671,Skater,oracle/Skater,,interpretability,https://github.com/oracle/Skater,https://github.com/oracle/Skater,UPL-1.0,2017-01-26 05:45:42.000000,2020-11-01 15:57:12.273000,2020-06-29 20:07:12.000000,163,69.0,97.0,973,1101.0,Python Library for Model Interpretation/Explanations.,34.0,19,False,2018-09-21 07:03:32.000000,1.1.2,23.0,skater,conda-forge/skater,,,,,,https://pypi.org/project/skater,2018-09-21 07:03:32.000000,,7060.0,7857.0,https://anaconda.org/conda-forge/skater,2020-11-01 15:57:12.273000,36690.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n672,Paddle Graph Learning,PaddlePaddle/PGL,,graph,https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28.000000,2021-04-08 10:55:03.000000,2021-04-08 10:55:02.000000,138,18.0,34.0,973,,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,16.0,19,True,2021-03-12 05:46:43.000000,2.1.1,9.0,pgl,,,,['paddle'],12.0,10.0,https://pypi.org/project/pgl,2021-03-12 05:52:49.000000,2.0,1291.0,1291.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n673,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,,pytorch-utils,https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000000,2021-04-02 10:59:33.000000,2021-04-02 10:36:09.000000,75,2.0,16.0,969,675.0,PyTorch extensions for fast R&D prototyping and Kaggle farming.,5.0,19,True,2021-04-02 10:59:33.000000,0.4.3,21.0,pytorch_toolbelt,,,,['pytorch'],2.0,,https://pypi.org/project/pytorch_toolbelt,2021-04-02 10:59:33.000000,2.0,7462.0,7462.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n674,Fiber,uber/fiber,,distributed-ml,https://github.com/uber/fiber,https://github.com/uber/fiber,Apache-2.0,2020-01-07 18:16:24.000000,2021-03-24 19:18:22.000000,2021-03-15 07:00:08.000000,92,12.0,8.0,874,66.0,Distributed Computing for AI Made Simple.,5.0,19,True,2020-07-09 03:28:28.000000,0.2.1,6.0,fiber,,,,,26.0,25.0,https://pypi.org/project/fiber,2020-07-09 03:28:28.000000,1.0,2252.0,2252.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n675,advertorch,BorealisAI/advertorch,,adversarial,https://github.com/BorealisAI/advertorch,https://github.com/BorealisAI/advertorch,GPL-3.0,2018-11-29 22:17:33.000000,2021-02-26 11:22:02.000000,2020-06-15 01:16:18.000000,133,15.0,28.0,837,270.0,A Toolbox for Adversarial Robustness Research.,16.0,19,False,2020-06-15 01:20:07.000000,0.2.3,10.0,advertorch,,,,['pytorch'],41.0,35.0,https://pypi.org/project/advertorch,2020-06-15 01:20:07.000000,6.0,2345.0,2345.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n676,TensorFrames,databricks/tensorframes,,distributed-ml,https://github.com/databricks/tensorframes,https://github.com/databricks/tensorframes,Apache-2.0,2016-03-04 19:25:19.000000,2020-11-13 17:47:02.000000,2019-11-15 21:43:53.000000,157,51.0,43.0,768,221.0,[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark.,16.0,19,False,2018-11-16 20:50:02.000000,0.6.0,6.0,tensorframes,,,,\"['tensorflow', 'spark']\",1.0,,https://pypi.org/project/tensorframes,2018-05-16 14:20:28.000000,1.0,10250.0,10250.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n677,tffm,geffy/tffm,,tensorflow-utils,https://github.com/geffy/tffm,https://github.com/geffy/tffm,MIT,2016-05-02 17:06:07.000000,2020-05-22 21:40:58.000000,2020-05-22 21:40:57.000000,174,17.0,20.0,764,106.0,TensorFlow implementation of an arbitrary order Factorization Machine.,10.0,19,True,2018-01-27 11:43:26.000000,1.0.1,2.0,tffm,,,,['tensorflow'],12.0,11.0,https://pypi.org/project/tffm,2018-01-27 11:43:26.000000,1.0,2043.0,2043.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n678,Hivemind,learning-at-home/hivemind,,distributed-ml,https://github.com/learning-at-home/hivemind,https://github.com/learning-at-home/hivemind,MIT,2020-02-27 13:50:19.000000,2021-04-08 12:11:38.000000,2021-04-08 09:35:25.000000,41,35.0,30.0,672,321.0,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,13.0,19,True,2021-04-02 18:12:33.000000,0.9.6,8.0,hivemind,,,,,3.0,2.0,https://pypi.org/project/hivemind,2021-04-05 13:20:34.000000,1.0,191.0,191.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n679,Test Tube,williamFalcon/test-tube,,hyperopt,https://github.com/williamFalcon/test-tube,https://github.com/williamFalcon/test-tube,MIT,2017-09-06 02:14:57.000000,2021-01-17 20:04:39.000000,2020-03-17 22:44:47.000000,61,25.0,21.0,671,642.0,Python library to easily log experiments and parallelize hyperparameter search for neural networks.,16.0,19,False,2019-12-01 01:19:36.000000,0.7.5,53.0,test_tube,,,,,5.0,,https://pypi.org/project/test_tube,2018-12-12 22:45:59.000000,5.0,14470.0,14470.0,,,,,,,,3.0,8.0,,,,,,,,,,,,,,,,,,,,,\n680,Saliency,PAIR-code/saliency,,tensorflow-utils,https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35.000000,2021-04-07 18:22:35.000000,2021-03-16 16:49:51.000000,148,14.0,10.0,655,67.0,\"TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques.\",13.0,19,True,2021-03-16 16:53:32.000000,0.1.1,8.0,saliency,,,,['tensorflow'],16.0,14.0,https://pypi.org/project/saliency,2021-03-16 16:53:32.000000,2.0,501.0,501.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n681,matrixprofile-ts,target/matrixprofile-ts,,time-series-data,https://github.com/target/matrixprofile-ts,https://github.com/target/matrixprofile-ts,Apache-2.0,2018-09-10 19:03:34.000000,2020-04-25 18:38:20.000000,2020-04-25 18:37:42.000000,92,19.0,34.0,625,198.0,A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile.,15.0,19,True,2019-08-08 01:24:38.000000,0.0.9,9.0,matrixprofile-ts,,,,,15.0,15.0,https://pypi.org/project/matrixprofile-ts,2019-08-08 01:24:38.000000,,2537.0,2537.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n682,vecstack,vecxoz/vecstack,,others,https://github.com/vecxoz/vecstack,https://github.com/vecxoz/vecstack,MIT,2016-11-08 13:23:21.000000,2020-09-14 08:31:07.000000,2019-10-30 09:27:48.000000,65,1.0,35.0,590,189.0,Python package for stacking (machine learning technique).,1.0,19,False,2019-08-12 16:09:01.000000,0.4.0,6.0,vecstack,,,,,127.0,119.0,https://pypi.org/project/vecstack,2019-08-12 16:01:22.000000,8.0,2461.0,2461.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n683,Objax,google/objax,,ml-frameworks,https://github.com/google/objax,https://github.com/google/objax,Apache-2.0,2020-08-20 06:20:40.000000,2021-04-07 20:18:34.000000,2021-04-01 00:09:28.000000,46,40.0,51.0,587,410.0,Objax is a machine learning framework that provides an Object Oriented layer for JAX.,20.0,19,True,2021-04-01 00:14:18.000000,1.4.0,7.0,objax,,,,['jax'],8.0,8.0,https://pypi.org/project/objax,2021-04-01 00:02:37.000000,0.0,318.0,318.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n684,Performer Pytorch,lucidrains/performer-pytorch,,pytorch-utils,https://github.com/lucidrains/performer-pytorch,https://github.com/lucidrains/performer-pytorch,MIT,2020-10-03 03:41:36.000000,2021-03-25 21:17:47.000000,2021-03-25 21:12:57.000000,72,19.0,35.0,570,,\"An implementation of Performer, a linear attention-based transformer, in Pytorch.\",4.0,19,True,2021-03-25 21:17:47.000000,1.0.1,65.0,performer-pytorch,,,,['pytorch'],14.0,14.0,https://pypi.org/project/performer-pytorch,2021-03-25 21:17:47.000000,0.0,2626.0,2626.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n685,PFRL,pfnet/pfrl,,reinforcement-learning,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50.000000,2021-04-08 07:11:37.000000,2021-04-08 07:11:37.000000,65,22.0,24.0,553,349.0,PFRL: a PyTorch-based deep reinforcement learning library.,12.0,19,True,2020-12-17 05:00:25.000000,0.2.1,4.0,pfrl,,,,,7.0,7.0,https://pypi.org/project/pfrl,2020-12-17 05:00:25.000000,,791.0,791.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n686,iterative-stratification,trent-b/iterative-stratification,,sklearn-utils,https://github.com/trent-b/iterative-stratification,https://github.com/trent-b/iterative-stratification,BSD-3-Clause,2018-02-04 00:32:10.000000,2020-09-12 15:32:44.000000,2020-09-12 15:35:02.000000,49,2.0,11.0,547,47.0,scikit-learn cross validators for iterative stratification of multilabel data.,4.0,19,True,2018-08-12 18:28:50.000000,0.1.6,5.0,iterative-stratification,,,,['sklearn'],136.0,122.0,https://pypi.org/project/iterative-stratification,2018-08-12 18:28:50.000000,14.0,7393.0,7393.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n687,robustness,MadryLab/robustness,,adversarial,https://github.com/MadryLab/robustness,https://github.com/MadryLab/robustness,MIT,2019-08-21 09:26:33.000000,2021-03-30 19:20:40.000000,2021-03-04 15:19:19.000000,94,6.0,51.0,518,139.0,\"A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.\",12.0,19,True,2020-12-01 06:11:12.000000,1.2.1.post2,10.0,robustness,,,,,45.0,43.0,https://pypi.org/project/robustness,2020-12-01 06:21:33.000000,2.0,489.0,489.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n688,deeplift,kundajelab/deeplift,,interpretability,https://github.com/kundajelab/deeplift,https://github.com/kundajelab/deeplift,MIT,2016-06-01 02:18:06.000000,2020-11-11 19:56:24.000000,2020-11-11 19:56:23.000000,125,29.0,46.0,515,551.0,Public facing deeplift repo.,11.0,19,True,2018-07-13 21:11:52.000000,0.6.6,21.0,deeplift,,,,,48.0,44.0,https://pypi.org/project/deeplift,2020-11-11 09:32:57.000000,4.0,813.0,813.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n689,Feature Engine,solegalli/feature_engine,,others,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2018-12-31 01:47:18.000000,2021-04-04 20:43:38.000000,2021-03-04 14:05:43.000000,138,26.0,76.0,485,105.0,Feature engineering package with sklearn like functionality.,20.0,19,True,2021-01-23 12:03:16.000000,1.0.2,25.0,feature_engine,conda-forge/feature_engine,,,,2.0,,https://pypi.org/project/feature_engine,2021-01-23 12:03:16.000000,2.0,21947.0,22241.0,https://anaconda.org/conda-forge/feature_engine,2021-01-25 12:36:37.909000,2355.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n690,TF Compression,tensorflow/compression,,tensorflow-utils,https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19.000000,2021-04-08 00:22:02.000000,2021-04-08 00:20:50.000000,165,,62.0,460,168.0,Data compression in TensorFlow.,10.0,19,True,2021-03-11 09:05:35.000000,2.1,10.0,tensorflow-compression,,,,['tensorflow'],1.0,,https://pypi.org/project/tensorflow-compression,2021-03-11 09:00:48.000000,1.0,1122.0,1122.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n691,N2,kakao/n2,,nn-search,https://github.com/kakao/n2,https://github.com/kakao/n2,Apache-2.0,2017-11-23 02:27:59.000000,2020-10-21 05:15:27.000000,2020-10-21 05:14:11.000000,52,17.0,22.0,459,242.0,TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets.,17.0,19,True,2020-10-16 03:43:47.000000,0.1.7,9.0,n2,,,,,18.0,14.0,https://pypi.org/project/n2,2020-10-16 03:10:01.000000,4.0,1504.0,1504.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n692,PyKEEN,pykeen/pykeen,,graph,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000000,2021-04-08 08:08:48.000000,2021-04-07 22:26:37.000000,56,65.0,97.0,368,2332.0,A Python library for learning and evaluating knowledge graph embeddings.,18.0,19,True,2021-03-04 16:07:36.000000,1.4.0,35.0,pykeen,,,,,2.0,,https://pypi.org/project/pykeen,2021-02-15 14:13:30.000000,2.0,552.0,559.0,,,,,,,,3.0,79.0,,,,,,,,,,,,,,,,,,,,,\n693,Orbit,uber/orbit,,probabilistics,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000000,2021-04-08 05:58:25.000000,2021-04-06 01:30:39.000000,28,19.0,175.0,368,619.0,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,10.0,19,True,2021-04-03 01:15:52.000000,1.0.13,12.0,orbit-ml,,,,,4.0,4.0,https://pypi.org/project/orbit-ml,2021-04-03 01:15:52.000000,,296.0,296.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n694,animatplot,t-makaro/animatplot,,data-viz,https://github.com/t-makaro/animatplot,https://github.com/t-makaro/animatplot,MIT,2017-04-03 00:54:04.000000,2021-04-07 10:46:25.000000,2020-10-05 06:14:18.000000,32,17.0,16.0,363,178.0,A python package for animating plots build on matplotlib.,7.0,19,True,2020-10-05 06:20:52.000000,0.4.2,10.0,animatplot,conda-forge/animatplot,,,,16.0,14.0,https://pypi.org/project/animatplot,2020-10-05 06:20:52.000000,2.0,478.0,692.0,https://anaconda.org/conda-forge/animatplot,2020-10-06 02:02:00.460000,5566.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n695,MXBoard,awslabs/mxboard,,ml-experiments,https://github.com/awslabs/mxboard,https://github.com/awslabs/mxboard,Apache-2.0,2018-02-06 23:03:51.000000,2020-01-24 23:21:56.000000,2020-01-24 23:21:55.000000,46,16.0,15.0,331,42.0,Logging MXNet data for visualization in TensorBoard.,9.0,19,False,2018-05-22 20:25:51.000000,0.1.0,12.0,mxboard,,,,['mxnet'],112.0,100.0,https://pypi.org/project/mxboard,2018-05-22 20:25:51.000000,12.0,3879.0,3879.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n696,Camphr,PKSHATechnology-Research/camphr,,nlp,https://github.com/PKSHATechnology-Research/camphr,https://github.com/PKSHATechnology-Research/camphr,Apache-2.0,2020-02-10 03:39:58.000000,2021-04-08 09:20:19.000000,2021-04-02 10:18:07.000000,17,12.0,21.0,327,1235.0,\"spaCy plugin for Transformers , Udify, ELmo, etc.\",7.0,19,True,2021-03-05 10:59:35.000000,0.8.8,45.0,camphr,,,,['spacy'],0.0,,https://pypi.org/project/camphr,2021-03-05 10:59:35.000000,0.0,1342.0,1342.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n697,AutoViz,AutoViML/AutoViz,,data-viz,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06.000000,2020-12-21 03:22:01.000000,2020-12-21 03:21:52.000000,56,3.0,20.0,319,97.0,\"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..\",10.0,19,True,2020-12-10 02:33:19.000000,0.0.81,26.0,autoviz,,,,,32.0,32.0,https://pypi.org/project/autoviz,2020-12-10 02:33:19.000000,,2485.0,2485.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n698,rrcf,kLabUM/rrcf,,others,https://github.com/kLabUM/rrcf,https://github.com/kLabUM/rrcf,MIT,2018-10-20 05:39:05.000000,2021-01-13 23:05:23.000000,2020-06-10 01:07:39.000000,73,18.0,17.0,297,253.0,Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams.,4.0,19,True,2020-06-10 01:53:55.000000,0.4.3,7.0,rrcf,,,,,18.0,18.0,https://pypi.org/project/rrcf,2020-06-10 01:53:55.000000,0.0,4176.0,4176.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n699,pandas-ml,pandas-ml/pandas-ml,,others,https://github.com/pandas-ml/pandas-ml,https://github.com/pandas-ml/pandas-ml,BSD-3-Clause,2015-02-21 03:14:04.000000,2020-08-14 12:29:33.000000,2019-03-05 01:36:55.000000,58,24.0,17.0,273,153.0,\"pandas, scikit-learn, xgboost and seaborn integration.\",4.0,19,False,2019-03-05 01:36:12.000000,0.6.1,9.0,pandas-ml,,,,\"['sklearn', 'pandas']\",10.0,,https://pypi.org/project/pandas-ml,2019-03-05 01:35:23.000000,10.0,5525.0,5525.0,,,,,,,,3.0,5.0,,,,,,,,,,,,,,,,,,,,,\n700,sk-dist,Ibotta/sk-dist,,distributed-ml,https://github.com/Ibotta/sk-dist,https://github.com/Ibotta/sk-dist,Apache-2.0,2019-08-14 21:07:17.000000,2021-03-01 23:05:15.000000,2021-03-01 23:05:11.000000,44,7.0,9.0,261,47.0,Distributed scikit-learn meta-estimators in PySpark.,6.0,19,True,2020-05-14 22:20:14.000000,0.1.9,12.0,sk-dist,,,,\"['sklearn', 'spark']\",8.0,6.0,https://pypi.org/project/sk-dist,2020-05-14 22:20:14.000000,2.0,9671.0,9671.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n701,pyfasttext,vrasneur/pyfasttext,,nlp,https://github.com/vrasneur/pyfasttext,https://github.com/vrasneur/pyfasttext,GPL-3.0,2017-06-30 18:44:42.000000,2018-12-08 15:32:09.000000,2018-12-08 15:02:12.000000,30,21.0,28.0,229,153.0,Yet another Python binding for fastText.,4.0,19,False,2018-12-08 15:32:09.000000,0.4.6,13.0,pyfasttext,,,,,160.0,147.0,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09.000000,13.0,3929.0,3936.0,,,,,,,,3.0,322.0,,,,,,,,,,,,,,,,,,,,,\n702,fairness-indicators,tensorflow/fairness-indicators,,interpretability,https://github.com/tensorflow/fairness-indicators,https://github.com/tensorflow/fairness-indicators,Apache-2.0,2019-09-30 22:56:45.000000,2021-04-01 18:08:53.000000,2021-04-01 18:08:21.000000,53,14.0,5.0,188,250.0,Tensorflow's Fairness Evaluation and Visualization Toolkit.,20.0,19,True,2021-03-09 20:20:07.000000,0.28.0,13.0,fairness-indicators,,,,\"['tensorflow', 'jupyter']\",,,https://pypi.org/project/fairness-indicators,2021-01-28 22:09:49.000000,,1257.0,1257.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n703,pymap3d,geospace-code/pymap3d,,geospatial-data,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03.000000,2021-03-21 08:01:20.946000,2021-03-21 04:51:18.000000,58,2.0,24.0,183,,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,9.0,19,True,2021-03-21 04:53:39.000000,2.6.0,48.0,pymap3d,conda-forge/pymap3d,,,,6.0,,https://pypi.org/project/pymap3d,2021-03-21 04:53:39.000000,6.0,36550.0,37170.0,https://anaconda.org/conda-forge/pymap3d,2021-03-21 08:01:20.946000,8062.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n704,Funsor,pyro-ppl/funsor,,probabilistics,https://github.com/pyro-ppl/funsor,https://github.com/pyro-ppl/funsor,Apache-2.0,2019-01-30 23:13:39.000000,2021-04-08 05:09:49.000000,2021-04-06 00:14:36.000000,15,70.0,67.0,168,529.0,Functional tensors for probabilistic programming.,9.0,19,True,2021-01-24 17:27:54.000000,0.4.0,6.0,funsor,,,,['pytorch'],11.0,11.0,https://pypi.org/project/funsor,2021-01-24 17:26:50.000000,0.0,543.0,543.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n705,BatchFlow,analysiscenter/batchflow,,data-pipelines,https://github.com/analysiscenter/batchflow,https://github.com/analysiscenter/batchflow,Apache-2.0,2017-03-13 14:22:53.000000,2021-04-08 13:37:53.000000,2021-03-25 10:31:44.000000,36,46.0,57.0,157,4459.0,BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and..,29.0,19,True,2021-03-05 13:23:43.000000,0.5.0beta3,6.0,batchflow,,,,,,,https://pypi.org/project/batchflow,2021-03-05 13:45:58.000000,,168.0,168.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n706,flupy,olirice/flupy,,data-pipelines,https://github.com/olirice/flupy,https://github.com/olirice/flupy,MIT,2018-01-06 16:46:04.000000,2021-03-09 13:15:35.000000,2021-03-09 13:15:26.000000,9,,7.0,155,177.0,Fluent data pipelines for python and your shell.,4.0,19,True,2021-01-06 12:37:15.000000,1.1.6,34.0,flupy,,,,,0.0,,https://pypi.org/project/flupy,2021-01-06 12:37:15.000000,0.0,12114.0,12114.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n707,nvidia-ml-py3,nicolargo/nvidia-ml-py3,,gpu-utilities,https://github.com/nicolargo/nvidia-ml-py3,https://github.com/nicolargo/nvidia-ml-py3,BSD-3-Clause,2017-06-03 07:47:03.000000,2019-03-06 20:41:10.000000,2019-03-06 20:41:09.000000,14,2.0,,66,5.0,Python 3 Bindings for the NVIDIA Management Library.,2.0,19,False,2017-06-03 07:43:46.000000,7.352.0,1.0,nvidia-ml-py3,,,,,3159.0,2939.0,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46.000000,220.0,645098.0,645098.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n708,graph-nets,deepmind/graph_nets,,graph,https://github.com/deepmind/graph_nets,https://github.com/deepmind/graph_nets,Apache-2.0,2018-08-31 08:19:28.000000,2020-12-04 17:43:48.000000,2020-12-04 17:43:47.000000,732,7.0,108.0,4832,47.0,Build Graph Nets in Tensorflow.,10.0,18,True,2020-01-29 16:00:25.000000,1.1.0,7.0,graph-nets,,,,['tensorflow'],7.0,,https://pypi.org/project/graph-nets,2020-01-29 16:00:25.000000,7.0,1056.0,1056.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n709,Crypto Signals,CryptoSignal/crypto-signal,,financial-data,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24.000000,2021-04-02 19:11:17.000000,2020-09-03 12:26:48.000000,768,41.0,192.0,2847,563.0,\"Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 2,100 + stars, 580 + forks.\",25.0,18,True,,,,,,shadowreaver/crypto-signal,,,,,,,,,1012.0,,,,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133,8.0,43520.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n710,LIT,PAIR-code/lit,,interpretability,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000000,2021-04-07 20:50:32.000000,2021-04-05 17:58:30.000000,246,48.0,41.0,2465,,The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and..,14.0,18,True,2021-04-05 19:14:45.000000,0.3,5.0,lit-nlp,,,,,3.0,3.0,https://pypi.org/project/lit-nlp,2021-04-05 19:12:37.000000,,397.0,397.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n711,riko,nerevu/riko,,data-pipelines,https://github.com/nerevu/riko,https://github.com/nerevu/riko,MIT,2016-06-02 12:22:51.000000,2020-08-14 18:29:28.000000,2020-08-14 16:47:45.000000,72,22.0,8.0,1563,1257.0,A Python stream processing engine modeled after Yahoo! Pipes.,18.0,18,True,2020-08-14 18:29:28.000000,0.66.0,58.0,riko,,,,,1.0,,https://pypi.org/project/riko,2020-08-14 18:29:28.000000,1.0,466.0,466.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n712,NeuroNER,Franck-Dernoncourt/NeuroNER,,nlp,https://github.com/Franck-Dernoncourt/NeuroNER,https://github.com/Franck-Dernoncourt/NeuroNER,MIT,2017-03-07 01:24:15.000000,2020-11-13 18:07:48.000000,2019-10-02 23:26:11.000000,440,80.0,67.0,1544,132.0,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,7.0,18,False,2019-10-02 23:30:15.000000,1.0.8,7.0,pyneuroner,,,,,9.0,9.0,https://pypi.org/project/pyneuroner,2019-10-02 23:30:15.000000,,170.0,170.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n713,Antialiased CNNs,adobe/antialiased-cnns,,pytorch-utils,https://github.com/adobe/antialiased-cnns,https://github.com/adobe/antialiased-cnns,CC BY-NC-SA 4.0,2019-05-14 20:51:25.000000,2021-03-01 18:01:57.000000,2020-10-22 19:40:07.000000,176,9.0,31.0,1366,238.0,pip install antialiased-cnns to improve stability and accuracy.,6.0,18,False,2020-10-23 22:45:52.000000,0.3,6.0,antialiased-cnns,,,,['pytorch'],,,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49.000000,,1593.0,1593.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n714,doc2text,jlsutherland/doc2text,,ocr,https://github.com/jlsutherland/doc2text,https://github.com/jlsutherland/doc2text,MIT,2016-08-28 19:30:02.000000,2020-12-01 22:56:27.000000,2020-12-01 22:56:26.000000,92,12.0,9.0,1233,62.0,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,5.0,18,True,2016-09-06 21:59:21.000000,0.2.4,5.0,doc2text,,,,,35.0,35.0,https://pypi.org/project/doc2text,2016-09-06 21:59:21.000000,,473.0,473.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n715,Backtesting.py,kernc/backtesting.py,,financial-data,https://github.com/kernc/backtesting.py,https://github.com/kernc/backtesting.py,AGPL-3.0,2019-01-02 03:11:32.000000,2021-04-05 00:31:07.000000,2021-04-05 00:31:07.000000,279,23.0,185.0,1195,228.0,Backtest trading strategies in Python.,11.0,18,False,2017-07-22 02:00:06.000000,0.0.1,1.0,backtesting,,,,,,,https://pypi.org/project/backtesting,2017-07-22 02:00:06.000000,,5395.0,5395.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n716,Norfair,tryolabs/norfair,,image,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000000,2021-04-08 03:05:28.000000,2021-03-16 21:10:22.000000,62,5.0,17.0,952,264.0,Lightweight Python library for adding real-time 2D object tracking to any detector.,8.0,18,True,2021-02-17 21:29:11.000000,0.2.0,10.0,norfair,,,,,,,https://pypi.org/project/norfair,2021-02-17 21:29:11.000000,,929.0,929.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n717,Bounter,RaRe-Technologies/bounter,,data-containers,https://github.com/RaRe-Technologies/bounter,https://github.com/RaRe-Technologies/bounter,MIT,2017-07-18 07:24:15.000000,2020-08-17 06:37:51.000000,2020-08-16 11:55:16.000000,48,11.0,9.0,896,152.0,Efficient Counter that uses a limited (bounded) amount of memory regardless of data size.,8.0,18,True,2020-08-17 06:37:51.000000,1.1.1,7.0,bounter,,,,,36.0,22.0,https://pypi.org/project/bounter,2020-08-17 06:37:51.000000,14.0,376.0,376.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n718,pytorch2keras,nerox8664/pytorch2keras,,model-serialisation,https://github.com/nerox8664/pytorch2keras,https://github.com/nerox8664/pytorch2keras,MIT,2017-11-16 20:21:43.000000,2020-05-14 10:03:56.000000,2020-05-14 10:03:04.000000,112,44.0,66.0,683,277.0,PyTorch to Keras model convertor.,11.0,18,True,2020-05-14 10:03:56.000000,0.2.4,23.0,pytorch2keras,,,,,21.0,20.0,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56.000000,1.0,947.0,947.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n719,RLax,deepmind/rlax,,reinforcement-learning,https://github.com/deepmind/rlax,https://github.com/deepmind/rlax,Apache-2.0,2020-02-18 07:14:59.000000,2021-04-07 13:42:01.000000,2021-04-07 13:41:36.000000,45,3.0,4.0,577,108.0,A library of reinforcement learning building blocks in JAX.,11.0,18,True,2020-02-19 23:01:30.000000,0.1.0,3.0,rlax,,,,['jax'],14.0,14.0,https://pypi.org/project/rlax,2020-02-19 23:01:30.000000,,301.0,301.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n720,Dragonfly,dragonfly/dragonfly,,hyperopt,https://github.com/dragonfly/dragonfly,https://github.com/dragonfly/dragonfly,MIT,2018-04-20 22:19:50.000000,2020-07-26 17:44:31.000000,2020-07-03 18:01:17.000000,75,24.0,17.0,572,397.0,An open source python library for scalable Bayesian optimisation.,12.0,18,True,2020-07-03 18:05:12.000000,0.1.6,9.0,dragonfly-opt,,,,,2.0,,https://pypi.org/project/dragonfly-opt,2020-07-03 18:05:12.000000,2.0,20909.0,20909.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n721,SKLL,EducationalTestingService/skll,,ml-experiments,https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,BSD-1-Clause,2013-08-02 14:31:46.000000,2021-04-07 01:36:49.000000,2021-03-30 19:39:59.000000,64,36.0,348.0,525,,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,35.0,18,False,2021-02-26 03:01:01.000000,2.5,64.0,skll,,,,['sklearn'],47.0,30.0,https://pypi.org/project/skll,2020-03-13 16:23:35.000000,17.0,603.0,603.0,,,,,,,,3.0,10.0,,,,,,,,,,,,,,,,,,,,,\n722,pytorch_geometric_temporal,benedekrozemberczki/pytorch_geometric_temporal,,graph,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,MIT,2020-06-27 01:11:33.000000,2021-04-08 08:26:55.000000,2021-04-07 23:09:34.000000,58,,20.0,490,1365.0,A Temporal Extension Library for PyTorch Geometric.,7.0,18,True,2021-03-30 23:31:27.000000,_00025,24.0,torch-geometric-temporal,,,,['pytorch'],,,https://pypi.org/project/torch-geometric-temporal,2021-03-30 23:27:38.000000,,564.0,564.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n723,tcav,tensorflow/tcav,,interpretability,https://github.com/tensorflow/tcav,https://github.com/tensorflow/tcav,Apache-2.0,2018-07-03 17:45:35.000000,2021-03-23 17:16:42.000000,2021-03-23 17:16:22.000000,101,3.0,45.0,445,160.0,Code for the TCAV ML interpretability project.,18.0,18,True,2021-02-23 16:17:42.000000,0.2.2,4.0,tcav,,,,['tensorflow'],8.0,6.0,https://pypi.org/project/tcav,2021-02-23 16:17:42.000000,2.0,146.0,146.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n724,Vulkan Kompute,EthicalML/vulkan-kompute,,gpu-utilities,https://github.com/EthicalML/vulkan-kompute,https://github.com/EthicalML/vulkan-kompute,Apache-2.0,2020-07-29 05:23:33.000000,2021-04-07 05:12:11.000000,2021-04-06 20:39:57.000000,28,44.0,93.0,366,825.0,\"General purpose GPU compute framework for cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast,..\",11.0,18,True,2021-03-14 16:03:43.000000,0.7.0,11.0,kp,,,,,2.0,2.0,https://pypi.org/project/kp,2021-03-14 15:37:22.000000,,276.0,282.0,,,,,,,,3.0,48.0,,,,,,,,,,,,,,,,,,,,,\n725,Baal,ElementAI/baal,,probabilistics,https://github.com/ElementAI/baal,https://github.com/ElementAI/baal,Apache-2.0,2019-09-30 20:16:26.000000,2021-03-25 13:21:19.000000,2021-03-25 13:21:18.000000,29,5.0,30.0,334,105.0,Using approximate bayesian posteriors in deep nets for active learning.,8.0,18,True,2021-03-16 13:48:22.000000,1.3.0,8.0,baal,,,,,7.0,7.0,https://pypi.org/project/baal,2021-03-16 13:38:39.000000,,423.0,423.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n726,tick,X-DataInitiative/tick,,time-series-data,https://github.com/X-DataInitiative/tick,https://github.com/X-DataInitiative/tick,BSD-3-Clause,2016-12-01 10:59:08.000000,2020-08-11 12:36:43.000000,2020-06-15 12:01:36.000000,74,55.0,159.0,328,413.0,\"Module for statistical learning, with a particular emphasis on time-dependent modelling.\",16.0,18,True,2019-09-11 11:25:15.000000,0.6,23.0,tick,,,,,31.0,30.0,https://pypi.org/project/tick,2020-05-24 22:01:17.000000,1.0,1477.0,1480.0,,,,,,,,3.0,158.0,,,,,,,,,,,,,,,,,,,,,\n727,apricot,jmschrei/apricot,,others,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12.000000,2021-02-18 03:37:56.000000,2021-02-18 03:37:55.000000,29,3.0,14.0,311,167.0,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,2.0,18,True,2020-09-28 07:19:15.000000,0.6.0,13.0,apricot-select,,,,,14.0,14.0,https://pypi.org/project/apricot-select,2020-09-28 07:19:15.000000,0.0,1072.0,1072.0,,,,,,,,3.0,8.0,,,,,,,,,,,,,,,,,,,,,\n728,Sherpa,sherpa-ai/sherpa,,hyperopt,https://github.com/sherpa-ai/sherpa,https://github.com/sherpa-ai/sherpa,GPL-3.0,2018-05-16 21:41:54.000000,2020-10-18 07:57:50.000000,2020-10-18 07:57:48.000000,44,12.0,41.0,292,823.0,\"Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.\",43.0,18,False,2020-07-31 05:29:09.000000,1.0.7,8.0,parameter-sherpa,,,,,12.0,10.0,https://pypi.org/project/parameter-sherpa,2019-11-23 21:32:27.000000,2.0,474.0,474.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n729,scikit-tda,scikit-tda/scikit-tda,,sklearn-utils,https://github.com/scikit-tda/scikit-tda,https://github.com/scikit-tda/scikit-tda,MIT,2018-04-13 21:00:31.000000,2021-01-09 19:51:04.000000,2021-01-09 19:50:05.000000,32,11.0,4.0,270,56.0,Topological Data Analysis for Python.,2.0,18,True,2021-01-09 19:51:04.000000,0.1.0,3.0,scikit-tda,,,,['sklearn'],20.0,20.0,https://pypi.org/project/scikit-tda,2021-01-09 19:51:04.000000,,6726.0,6726.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n730,recmetrics,statisticianinstilettos/recmetrics,,recommender-systems,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49.000000,2020-12-03 21:21:02.000000,2020-12-03 21:21:00.000000,60,3.0,7.0,253,233.0,A library of metrics for evaluating recommender systems.,12.0,18,True,2019-03-05 04:11:15.000000,0.0.12,14.0,recmetrics,,,,,17.0,17.0,https://pypi.org/project/recmetrics,2019-03-05 04:11:15.000000,,1009.0,1009.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n731,somoclu,peterwittek/somoclu,,distributed-ml,https://github.com/peterwittek/somoclu,https://github.com/peterwittek/somoclu,MIT,2013-01-16 06:33:16.000000,2020-10-13 18:39:07.609000,2020-07-24 13:00:47.000000,56,26.0,104.0,225,590.0,\"Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters.\",17.0,18,True,2018-03-03 02:44:37.000000,1.7.5,17.0,somoclu,conda-forge/somoclu,,,,4.0,,https://pypi.org/project/somoclu,2020-04-25 05:33:32.000000,4.0,794.0,1825.0,https://anaconda.org/conda-forge/somoclu,2020-10-13 18:39:07.609000,44559.0,,,,,3.0,1457.0,,,,,,,,,,,,,,,,,,,,,\n732,skift,shaypal5/skift,,nlp,https://github.com/shaypal5/skift,https://github.com/shaypal5/skift,MIT,2018-02-03 11:37:21.000000,2021-03-31 10:11:28.000000,2021-03-31 10:11:20.000000,22,2.0,8.0,214,129.0,scikit-learn wrappers for Python fastText.,7.0,18,True,2020-08-27 15:01:05.000000,0.0.19,15.0,skift,,,,['sklearn'],8.0,8.0,https://pypi.org/project/skift,2020-08-27 15:01:05.000000,,4772.0,4772.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n733,Auto TS,AutoViML/Auto_TS,,time-series-data,https://github.com/AutoViML/Auto_TS,https://github.com/AutoViML/Auto_TS,Apache-2.0,2020-02-15 15:23:32.000000,2021-03-14 19:58:41.000000,2021-03-14 19:58:35.000000,39,10.0,31.0,206,234.0,\"Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of..\",6.0,18,True,2021-03-14 04:16:59.000000,0.0.36,15.0,auto-ts,,,,,,,https://pypi.org/project/auto-ts,2021-03-14 04:16:59.000000,,910.0,910.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n734,imodels,csinva/imodels,,interpretability,https://github.com/csinva/imodels,https://github.com/csinva/imodels,MIT,2019-07-04 15:38:48.000000,2021-04-08 07:40:41.000000,2021-04-05 23:23:42.000000,19,,9.0,200,277.0,\"Interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible).\",3.0,18,True,2021-03-11 18:51:58.000000,0.2.8,8.0,imodels,,,,,7.0,7.0,https://pypi.org/project/imodels,2021-03-11 18:44:07.000000,,405.0,405.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n735,ExplainX.ai,explainX/explainx,,interpretability,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15.000000,2021-02-07 11:06:21.000000,2021-02-02 09:03:57.000000,31,10.0,17.0,200,184.0,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,4.0,18,True,2021-02-07 11:06:21.000000,2.407,56.0,explainx,,,,,,,https://pypi.org/project/explainx,2021-02-04 16:44:24.000000,,1205.0,1205.0,,,,,,,,3.0,1.0,,,,,,,,,,,,,,,,,,,,,\n736,Muda,bmcfee/muda,,audio,https://github.com/bmcfee/muda,https://github.com/bmcfee/muda,ISC,2014-11-07 21:21:22.000000,2020-09-01 19:21:10.000000,2020-07-20 20:00:17.000000,32,5.0,44.0,180,291.0,A library for augmenting annotated audio data.,6.0,18,True,2019-11-15 15:46:21.000000,0.4.1,11.0,muda,,,,,10.0,9.0,https://pypi.org/project/muda,2019-11-15 15:46:21.000000,1.0,391.0,391.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n737,DeepMind Lab,deepmind/lab,,reinforcement-learning,https://github.com/deepmind/lab,https://github.com/deepmind/lab,GPL-2.0,2016-11-30 13:41:26.000000,2021-03-15 17:26:57.000000,2021-03-04 17:39:30.000000,1310,39.0,153.0,6430,481.0,A customisable 3D platform for agent-based AI research.,7.0,17,False,2020-12-07 11:26:33.000000,release-2020-12-07,8.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n738,ReAgent,facebookresearch/ReAgent,,reinforcement-learning,https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000000,2021-04-08 07:02:54.000000,2021-04-08 07:02:26.000000,390,20.0,75.0,2852,1148.0,\"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).\",91.0,17,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n739,Spotlight,maciejkula/spotlight,,recommender-systems,https://github.com/maciejkula/spotlight,https://github.com/maciejkula/spotlight,MIT,2017-06-25 18:52:19.000000,2020-11-15 08:21:28.000000,2020-02-09 21:03:48.000000,372,67.0,48.0,2462,299.0,Deep recommender models using PyTorch.,11.0,17,False,2019-09-08 10:19:53.000000,0.1.6,7.0,,maciejkula/spotlight,,,['pytorch'],,,,,,,132.0,https://anaconda.org/maciejkula/spotlight,2018-05-27 18:32:12.235000,6110.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n740,PaddleDetection,PaddlePaddle/PaddleDetection,,image,https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000000,2021-04-08 12:43:00.000000,2021-04-06 02:22:58.000000,695,325.0,1072.0,2430,746.0,Object detection and instance segmentation toolkit based on PaddlePaddle.,50.0,17,True,2019-11-27 05:15:38.000000,0.1.0,1.0,,,,,['paddle'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n741,spark-deep-learning,databricks/spark-deep-learning,,data-pipelines,https://github.com/databricks/spark-deep-learning,https://github.com/databricks/spark-deep-learning,Apache-2.0,2017-05-31 17:30:28.000000,2021-01-20 15:05:13.000000,2021-01-20 15:00:20.000000,445,73.0,27.0,1822,135.0,Deep Learning Pipelines for Apache Spark.,15.0,17,True,2020-01-08 19:50:31.000000,1.6.0,9.0,,,,,['spark'],17.0,17.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n742,River,online-ml/river,,others,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000000,2021-04-08 13:16:21.000000,2021-04-08 13:13:36.000000,196,40.0,266.0,1501,3093.0,Online machine learning in Python.,62.0,17,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n743,BlazingSQL,BlazingDB/blazingsql,,gpu-utilities,https://github.com/BlazingDB/blazingsql,https://github.com/BlazingDB/blazingsql,Apache-2.0,2018-09-24 18:25:45.000000,2021-04-08 08:18:54.000000,2021-04-06 22:32:54.000000,133,263.0,377.0,1469,,\"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.\",39.0,17,True,2021-02-26 21:15:55.000000,0.18.0,16.0,,blazingsql/blazingsql-protocol,,,,,,,,,,48.0,https://anaconda.org/blazingsql/blazingsql-protocol,2019-11-11 19:54:17.621000,917.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n744,Lambda Networks,lucidrains/lambda-networks,,pytorch-utils,https://github.com/lucidrains/lambda-networks,https://github.com/lucidrains/lambda-networks,MIT,2020-10-08 19:01:15.000000,2020-11-18 19:54:34.000000,2020-11-18 19:54:30.000000,151,12.0,15.0,1435,,\"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.\",3.0,17,True,2020-11-18 08:19:23.000000,0.4.0,11.0,lambda-networks,,,,['pytorch'],2.0,2.0,https://pypi.org/project/lambda-networks,2020-11-18 08:19:23.000000,,695.0,695.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n745,Advisor,tobegit3hub/advisor,,hyperopt,https://github.com/tobegit3hub/advisor,https://github.com/tobegit3hub/advisor,Apache-2.0,2017-09-14 03:50:33.000000,2019-11-11 07:09:57.869705,2019-11-11 06:59:31.000000,249,20.0,13.0,1370,165.0,Open-source implementation of Google Vizier for hyper parameters tuning.,11.0,17,False,2018-10-18 02:54:09.000000,0.1.6,4.0,advisor,,tobegit3hub/advisor,,,,,https://pypi.org/project/advisor,2018-10-18 02:54:09.000000,,99.0,135.0,,,,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1579.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n746,AdvBox,advboxes/AdvBox,,adversarial,https://github.com/advboxes/AdvBox,https://github.com/advboxes/AdvBox,Apache-2.0,2018-08-08 08:55:41.000000,2021-03-25 22:02:04.000000,2020-08-26 22:59:41.000000,228,8.0,28.0,1071,374.0,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,19.0,17,True,2018-12-05 02:48:50.000000,0.4.1,2.0,advbox,,,,,,,https://pypi.org/project/advbox,2018-12-05 02:48:50.000000,,87.0,87.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n747,sklearn-porter,nok/sklearn-porter,,model-serialisation,https://github.com/nok/sklearn-porter,https://github.com/nok/sklearn-porter,MIT,2016-06-22 22:21:34.000000,2021-02-28 20:44:14.000000,2019-12-18 13:31:50.000000,129,39.0,29.0,1027,699.0,\"Transpile trained scikit-learn estimators to C, Java, JavaScript and others.\",11.0,17,False,2019-12-18 13:39:19.000000,0.7.4,20.0,sklearn-porter,,,,['sklearn'],1.0,,https://pypi.org/project/sklearn-porter,2019-12-18 13:39:19.000000,1.0,770.0,770.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n748,CrypTen,facebookresearch/CrypTen,,privacy-ml,https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000000,2021-04-06 20:10:32.000000,2021-04-02 15:25:57.000000,109,27.0,39.0,756,241.0,A framework for Privacy Preserving Machine Learning.,23.0,17,True,2020-04-21 13:59:37.000000,0.1,1.0,crypten,,,,['pytorch'],6.0,6.0,https://pypi.org/project/crypten,2020-02-05 18:53:03.000000,,172.0,172.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n749,ADTK,arundo/adtk,,time-series-data,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22.000000,2020-04-29 19:54:40.000000,2020-04-17 02:27:44.000000,80,23.0,31.0,635,78.0,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,11.0,17,True,2020-04-17 02:18:00.000000,0.6.2,13.0,adtk,,,,,,,https://pypi.org/project/adtk,2020-04-17 02:18:00.000000,,52608.0,52608.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n750,sklearn-deap,rsteca/sklearn-deap,,hyperopt,https://github.com/rsteca/sklearn-deap,https://github.com/rsteca/sklearn-deap,MIT,2015-10-28 22:52:34.000000,2019-12-03 13:29:06.000000,2019-12-03 13:29:04.000000,108,21.0,31.0,635,98.0,Use evolutionary algorithms instead of gridsearch in scikit-learn.,20.0,17,False,2019-07-15 09:24:09.000000,0.2.4,13.0,sklearn-deap,,,,['sklearn'],27.0,25.0,https://pypi.org/project/sklearn-deap,2019-07-15 09:24:09.000000,2.0,874.0,874.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n751,AlphaPy,ScottfreeLLC/AlphaPy,,hyperopt,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32.000000,2021-02-08 21:35:40.000000,2021-02-08 21:35:40.000000,125,8.0,29.0,576,409.0,\"Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost.\",3.0,17,True,2020-08-29 18:48:20.000000,2.5.0,25.0,alphapy,,,,,2.0,2.0,https://pypi.org/project/alphapy,2020-08-29 18:44:15.000000,,517.0,517.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n752,DiCE,interpretml/DiCE,,interpretability,https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000000,2021-04-06 03:41:52.000000,2021-04-06 03:41:48.000000,71,13.0,22.0,509,362.0,Generate Diverse Counterfactual Explanations for any machine learning model.,10.0,17,True,2021-03-01 15:26:58.000000,0.5,3.0,dice-ml,,,,\"['tensorflow', 'pytorch']\",,,https://pypi.org/project/dice-ml,2021-03-01 15:44:45.000000,,978.0,978.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n753,Auto Tune Models,HDI-Project/ATM,,hyperopt,https://github.com/HDI-Project/ATM,https://github.com/HDI-Project/ATM,MIT,2016-10-14 18:03:00.000000,2020-02-21 17:44:07.000000,2020-02-21 17:40:58.000000,127,17.0,71.0,506,775.0,\"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).\",16.0,17,False,2019-07-30 09:28:26.000000,0.2.2,14.0,atm,,,,,6.0,6.0,https://pypi.org/project/atm,2019-07-30 09:25:11.000000,,251.0,251.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n754,Sematch,gsi-upm/sematch,,graph,https://github.com/gsi-upm/sematch,https://github.com/gsi-upm/sematch,Apache-2.0,2012-11-30 11:11:53.000000,2020-11-05 21:20:52.000000,2019-03-27 03:17:24.000000,98,14.0,19.0,343,122.0,semantic similarity framework for knowledge graph.,5.0,17,False,2017-04-17 10:56:52.000000,1.0.4,5.0,sematch,,,,,30.0,27.0,https://pypi.org/project/sematch,2017-04-17 10:56:52.000000,3.0,207.0,207.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n755,datmo,datmo/datmo,,ml-experiments,https://github.com/datmo/datmo,https://github.com/datmo/datmo,MIT,2017-11-03 05:46:43.000000,2019-11-29 00:48:45.000000,2019-11-29 00:48:44.000000,28,42.0,149.0,334,1051.0,Open source production model management tool for data scientists.,6.0,17,False,2018-12-07 06:16:42.000000,0.0.40,41.0,datmo,,,,,5.0,5.0,https://pypi.org/project/datmo,2018-12-07 06:16:42.000000,,448.0,448.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n756,Case Recommender,caserec/CaseRecommender,,recommender-systems,https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39.000000,2020-05-26 22:44:05.000000,2020-05-26 22:44:05.000000,69,7.0,16.0,320,201.0,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems.,10.0,17,True,2019-08-20 13:48:43.000000,1.1.0,41.0,caserecommender,,,,['sklearn'],9.0,9.0,https://pypi.org/project/caserecommender,2019-08-20 13:48:43.000000,,682.0,682.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n757,Headliner,as-ideas/headliner,,nlp,https://github.com/as-ideas/headliner,https://github.com/as-ideas/headliner,MIT,2019-09-30 11:33:28.000000,2021-03-26 07:19:57.000000,2020-02-14 09:03:27.000000,37,1.0,13.0,223,276.0,Easy training and deployment of seq2seq models.,2.0,17,False,2020-01-24 09:06:29.000000,1.0.2,30.0,headliner,,,,,4.0,3.0,https://pypi.org/project/headliner,2020-01-24 09:06:29.000000,1.0,502.0,502.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n758,elegy,poets-ai/elegy,,ml-frameworks,https://github.com/poets-ai/elegy,https://github.com/poets-ai/elegy,Apache-2.0,2020-06-30 14:00:37.000000,2021-04-02 14:14:33.000000,2021-04-01 17:03:16.000000,11,21.0,36.0,196,299.0,Elegy is a framework-agnostic Trainer interface for the Jax ecosystem.,13.0,17,True,2021-03-10 18:59:02.000000,0.7.2,21.0,elegy,,,,\"['tensorflow', 'jax']\",,,https://pypi.org/project/elegy,2021-03-01 22:47:33.000000,,795.0,795.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n759,model-card-toolkit,tensorflow/model-card-toolkit,,interpretability,https://github.com/tensorflow/model-card-toolkit,https://github.com/tensorflow/model-card-toolkit,Apache-2.0,2020-07-24 16:48:58.000000,2021-04-06 00:09:40.000000,2021-04-06 00:09:28.000000,27,12.0,2.0,180,116.0,a tool that leverages rich metadata and lineage information in MLMD to build a model card.,9.0,17,True,2021-02-05 20:56:01.000000,0.1.3,4.0,model-card-toolkit,,,,,2.0,2.0,https://pypi.org/project/model-card-toolkit,2021-02-05 20:54:29.000000,,320.0,320.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n760,Larq Compute Engine,larq/compute-engine,,model-serialisation,https://github.com/larq/compute-engine,https://github.com/larq/compute-engine,Apache-2.0,2019-08-29 15:02:43.000000,2021-04-06 16:01:13.000000,2021-04-01 11:13:08.000000,22,23.0,90.0,141,465.0,Highly optimized inference engine for Binarized Neural Networks.,15.0,17,False,2021-01-30 03:07:11.000000,0.5.0,12.0,larq-compute-engine,,,,,2.0,2.0,https://pypi.org/project/larq-compute-engine,2021-01-30 03:07:11.000000,,1036.0,1050.0,,,,,,,,3.0,201.0,,,,,,,,,,,,,,,,,,,,,\n761,ipyexperiments,stas00/ipyexperiments,,gpu-utilities,https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40.000000,2021-03-28 18:24:12.000000,2021-03-28 18:23:45.000000,9,,4.0,132,196.0,jupyter/ipython experiment containers for GPU and general RAM re-use.,3.0,17,False,2021-03-28 03:39:09.000000,0.1.26,23.0,ipyexperiments,,,,['jupyter'],6.0,4.0,https://pypi.org/project/ipyexperiments,2021-03-28 03:39:09.000000,2.0,487.0,487.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n762,celer,mathurinm/celer,,sklearn-utils,https://github.com/mathurinm/celer,https://github.com/mathurinm/celer,BSD-3-Clause,2018-02-20 19:37:31.000000,2021-03-24 14:54:18.000000,2021-03-10 12:25:00.000000,22,16.0,49.0,114,216.0,\"Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.\",9.0,17,False,2020-10-12 12:26:09.000000,0.5.1,10.0,celer,,,,['sklearn'],4.0,4.0,https://pypi.org/project/celer,2020-12-09 13:19:10.000000,,199.0,199.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n763,dabl,amueller/dabl,,sklearn-utils,https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49.000000,2021-02-27 01:32:09.000000,2020-07-08 16:14:41.000000,7,1.0,,71,252.0,Data Analysis Baseline Library.,18.0,17,False,2021-02-27 01:25:17.000000,0.2.0,11.0,dabl,,,,['sklearn'],,,https://pypi.org/project/dabl,2021-02-27 01:25:17.000000,,1424.0,1424.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n764,tinygrad,geohot/tinygrad,,pytorch-utils,https://github.com/geohot/tinygrad,https://github.com/geohot/tinygrad,MIT,2020-10-18 16:23:12.000000,2021-02-17 13:45:15.000000,2021-01-31 16:31:16.000000,471,17.0,63.0,4220,511.0,You like pytorch? You like micrograd? You love tinygrad!.,43.0,16,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n765,automl-gs,minimaxir/automl-gs,,hyperopt,https://github.com/minimaxir/automl-gs,https://github.com/minimaxir/automl-gs,MIT,2019-01-13 18:57:44.000000,2019-10-22 11:20:40.000000,2019-04-05 06:48:14.000000,164,26.0,6.0,1731,102.0,\"Provide an input CSV and a target field to predict, generate a model + code to run it.\",7.0,16,False,2019-04-05 06:51:04.000000,0.2.1,2.0,automl_gs,,,,,,,https://pypi.org/project/automl_gs,2019-04-05 06:47:54.000000,,53.0,53.0,,,,,,,,3.0,21.0,,,,,,,,,,,,,,,,,,,,,\n766,Xcessiv,reiinakano/xcessiv,,hyperopt,https://github.com/reiinakano/xcessiv,https://github.com/reiinakano/xcessiv,Apache-2.0,2017-03-07 18:18:25.000000,2018-06-06 22:23:37.000000,2017-08-21 00:51:15.000000,109,22.0,13.0,1258,316.0,\"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.\",6.0,16,False,2017-08-21 00:53:25.000000,0.5.1,34.0,xcessiv,,,,,2.0,1.0,https://pypi.org/project/xcessiv,2017-08-21 00:49:41.000000,1.0,47.0,47.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n767,Botflow,kkyon/botflow,,data-pipelines,https://github.com/kkyon/botflow,https://github.com/kkyon/botflow,BSD-3-Clause,2018-08-20 03:13:31.000000,2020-12-31 09:03:22.000000,2019-05-23 14:40:50.000000,99,2.0,2.0,1165,192.0,\"Python Fast Dataflow programming framework for Data pipeline work( Web Crawler,Machine Learning,Quantitative..\",11.0,16,False,2018-09-14 14:38:32.000000,0.2.0,5.0,botflow,,,,,1.0,1.0,https://pypi.org/project/botflow,2018-09-14 14:38:32.000000,,140.0,140.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n768,aim,aimhubio/aim,,ml-experiments,https://github.com/aimhubio/aim,https://github.com/aimhubio/aim,Apache-2.0,2019-05-31 18:25:07.000000,2021-04-08 11:33:04.000000,2021-04-08 11:33:03.000000,57,99.0,49.0,1040,,\"Aim a super-easy way to record, search and compare 1000s of ML training runs.\",10.0,16,True,2019-11-06 08:06:11.000000,3.1.0,46.0,aim,,,,,2.0,,https://pypi.org/project/aim,2021-04-08 08:55:02.000000,2.0,2781.0,2781.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n769,MedicalTorch,perone/medicaltorch,,medical-data,https://github.com/perone/medicaltorch,https://github.com/perone/medicaltorch,Apache-2.0,2018-02-27 02:50:07.000000,2020-09-30 13:21:57.000000,2019-08-15 10:03:51.000000,106,14.0,9.0,723,55.0,A medical imaging framework for Pytorch.,7.0,16,False,2018-11-24 00:33:11.000000,0.2,2.0,medicaltorch,,,,['pytorch'],10.0,10.0,https://pypi.org/project/medicaltorch,2018-11-24 00:29:36.000000,,210.0,210.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n770,cuGraph,rapidsai/cugraph,,gpu-utilities,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000000,2021-04-07 23:56:23.000000,2021-04-07 23:51:32.000000,145,93.0,531.0,688,,cuGraph - RAPIDS Graph Analytics Library.,60.0,16,True,2021-02-24 21:42:05.000000,0.18.0,7.0,cugraph,,,,,0.0,,https://pypi.org/project/cugraph,2020-06-01 20:09:06.000000,0.0,105.0,105.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n771,HyperparameterHunter,HunterMcGushion/hyperparameter_hunter,,hyperopt,https://github.com/HunterMcGushion/hyperparameter_hunter,https://github.com/HunterMcGushion/hyperparameter_hunter,MIT,2018-06-01 23:17:00.000000,2021-01-20 03:52:41.000000,2021-01-20 03:52:40.000000,83,37.0,84.0,646,1096.0,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries.,4.0,16,True,2019-08-06 09:09:45.000000,3.0.0,16.0,hyperparameter-hunter,,,,,2.0,,https://pypi.org/project/hyperparameter-hunter,2019-08-06 08:52:20.000000,2.0,275.0,283.0,,,,,,,,3.0,270.0,,,,,,,,,,,,,,,,,,,,,\n772,SpeedTorch,Santosh-Gupta/SpeedTorch,,gpu-utilities,https://github.com/Santosh-Gupta/SpeedTorch,https://github.com/Santosh-Gupta/SpeedTorch,MIT,2019-09-07 18:57:52.000000,2020-02-21 23:13:29.000000,2020-02-21 23:13:28.000000,37,3.0,2.0,615,170.0,Library for faster pinned CPU - GPU transfer in Pytorch.,3.0,16,False,2020-01-06 05:27:17.000000,0.1.6,14.0,SpeedTorch,,,,['pytorch'],5.0,3.0,https://pypi.org/project/SpeedTorch,2020-01-06 05:27:17.000000,2.0,123.0,123.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n773,XAI,EthicalML/xai,,interpretability,https://github.com/EthicalML/xai,https://github.com/EthicalML/xai,MIT,2019-01-11 20:00:09.000000,2019-10-05 10:34:58.000000,2019-10-05 10:34:50.000000,91,4.0,3.0,606,83.0,XAI - An eXplainability toolbox for machine learning.,2.0,16,False,2019-04-21 14:53:12.000000,0.0.5,5.0,xai,,,,,17.0,11.0,https://pypi.org/project/xai,2019-04-21 14:53:12.000000,6.0,746.0,746.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n774,ThunderGBM,Xtra-Computing/thundergbm,,ml-frameworks,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08.000000,2021-04-01 02:08:51.000000,2021-01-05 04:22:15.000000,73,21.0,28.0,586,606.0,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,10.0,16,True,2020-05-01 23:16:25.000000,0.3.16,24.0,thundergbm,,,,,,,https://pypi.org/project/thundergbm,2020-05-01 23:16:25.000000,,90.0,90.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n775,Tensor Sensor,parrt/tensor-sensor,,pytorch-utils,https://github.com/parrt/tensor-sensor,https://github.com/parrt/tensor-sensor,MIT,2020-08-28 22:54:04.000000,2021-01-07 00:40:37.000000,2021-01-07 00:40:31.000000,24,5.0,12.0,541,155.0,The goal of this library is to generate more helpful exception messages for numpy/pytorch matrix algebra expressions.,2.0,16,True,2020-12-03 20:46:15.000000,0.1.1,34.0,tensor-sensor,,,,['pytorch'],2.0,2.0,https://pypi.org/project/tensor-sensor,2020-12-03 20:45:09.000000,,556.0,556.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n776,kglib,graknlabs/kglib,,graph,https://github.com/graknlabs/kglib,https://github.com/graknlabs/kglib,Apache-2.0,2018-09-16 16:46:48.000000,2021-01-15 11:17:51.000000,2021-01-15 11:17:51.000000,76,10.0,49.0,410,487.0,Grakn Knowledge Graph Library (ML R&D).,7.0,16,True,2020-08-19 15:39:10.000000,0.2.2,7.0,grakn-kglib,,,,,,,https://pypi.org/project/grakn-kglib,2020-08-19 15:39:10.000000,,195.0,202.0,,,,,,,,3.0,207.0,,,,,,,,,,,,,,,,,,,,,\n777,atspy,firmai/atspy,,time-series-data,https://github.com/firmai/atspy,https://github.com/firmai/atspy,MIT,2020-01-28 05:00:10.000000,2020-12-01 13:53:03.000000,2020-11-12 16:15:26.000000,64,17.0,2.0,343,97.0,AtsPy: Automated Time Series Models in Python (by @firmai).,5.0,16,True,2020-11-12 16:10:48.000000,zen,39.0,atspy,,,,,3.0,3.0,https://pypi.org/project/atspy,2020-04-24 18:16:15.000000,,1078.0,1078.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n778,pdvega,altair-viz/pdvega,,data-viz,https://github.com/altair-viz/pdvega,https://github.com/altair-viz/pdvega,MIT,2018-01-11 21:30:27.000000,2019-03-29 16:09:14.000000,2019-03-29 16:09:13.000000,29,16.0,10.0,340,177.0,Interactive plotting for Pandas using Vega-Lite.,9.0,16,False,,,1.0,pdvega,,,,,55.0,48.0,https://pypi.org/project/pdvega,2018-02-01 04:56:43.000000,7.0,136.0,136.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n779,VizSeq,facebookresearch/vizseq,,nlp,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38.000000,2021-03-09 22:59:10.000000,2021-03-09 22:59:06.000000,40,7.0,8.0,320,44.0,\"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).\",3.0,16,True,2020-08-07 01:13:52.000000,0.1.15,16.0,vizseq,,,,,2.0,2.0,https://pypi.org/project/vizseq,2020-08-07 01:13:52.000000,,162.0,162.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n780,LOFO,aerdem4/lofo-importance,,interpretability,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46.000000,2021-01-27 13:57:42.000000,2020-07-02 11:49:52.000000,40,1.0,10.0,317,24.0,Leave One Feature Out Importance.,3.0,16,True,2020-07-02 11:44:57.000000,0.2.6,9.0,lofo-importance,,,,,3.0,3.0,https://pypi.org/project/lofo-importance,2020-07-02 11:44:57.000000,,227.0,227.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n781,DeepGraph,deepgraph/deepgraph,,graph,https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45.000000,2021-01-15 08:36:25.609000,2020-10-01 13:17:00.000000,35,7.0,5.0,233,160.0,Analyze Data with Pandas-based Networks. Documentation:.,2.0,16,True,2020-10-01 13:20:38.000000,0.2.3,13.0,deepgraph,conda-forge/deepgraph,,,['pandas'],1.0,1.0,https://pypi.org/project/deepgraph,2020-10-01 13:18:38.000000,,565.0,2553.0,https://anaconda.org/conda-forge/deepgraph,2021-01-15 08:36:25.609000,87513.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n782,Julius,adefossez/julius,,audio,https://github.com/adefossez/julius,https://github.com/adefossez/julius,MIT,2020-10-26 10:54:21.000000,2021-03-03 09:48:59.000000,2021-03-03 09:27:16.000000,6,1.0,4.0,182,,Fast PyTorch based DSP for audio and 1D signals.,2.0,16,True,2021-03-03 09:48:59.000000,0.2.3,7.0,julius,,,,['pytorch'],8.0,8.0,https://pypi.org/project/julius,2021-03-03 09:48:59.000000,0.0,2950.0,2950.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n783,skggm,skggm/skggm,,sklearn-utils,https://github.com/skggm/skggm,https://github.com/skggm/skggm,MIT,2016-06-11 18:35:56.000000,2020-12-24 08:36:00.000000,2020-12-24 05:43:15.000000,31,28.0,47.0,178,691.0,Scikit-learn compatible estimation of general graphical models.,5.0,16,True,2018-09-12 01:12:49.000000,0.2.8,6.0,skggm,,,,['sklearn'],8.0,6.0,https://pypi.org/project/skggm,2018-09-12 01:12:49.000000,2.0,109.0,109.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n784,steppy,minerva-ml/steppy,,ml-experiments,https://github.com/minerva-ml/steppy,https://github.com/minerva-ml/steppy,MIT,2018-01-15 09:40:49.000000,2018-11-23 09:49:59.000000,2018-11-23 09:47:34.000000,31,16.0,50.0,128,69.0,\"Lightweight, Python library for fast and reproducible experimentation.\",5.0,16,False,2018-11-23 09:49:59.000000,0.1.16,16.0,steppy,,,,,44.0,39.0,https://pypi.org/project/steppy,2018-11-23 09:49:59.000000,5.0,118.0,118.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n785,pyRDF2Vec,IBCNServices/pyRDF2Vec,,graph,https://github.com/IBCNServices/pyRDF2Vec,https://github.com/IBCNServices/pyRDF2Vec,MIT,2019-06-13 11:36:12.000000,2021-04-02 13:34:38.000000,2021-04-02 08:01:18.000000,19,3.0,29.0,104,1070.0,Python Implementation and Extension of RDF2Vec.,5.0,16,False,2021-04-02 07:35:12.000000,0.2.2,10.0,pyrdf2vec,,,,,,,https://pypi.org/project/pyrdf2vec,2021-04-02 07:33:41.000000,,336.0,336.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n786,contextual-ai,SAP/contextual-ai,,interpretability,https://github.com/SAP/contextual-ai,https://github.com/SAP/contextual-ai,Apache-2.0,2020-05-12 07:15:56.000000,2021-03-25 23:48:34.000000,2021-01-25 04:03:23.000000,9,4.0,1.0,67,621.0,\"Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference -..\",10.0,16,False,2021-01-25 04:56:57.000000,0.0.2,2.0,contextual-ai,,,,,,,https://pypi.org/project/contextual-ai,2021-01-25 04:56:57.000000,,235.0,235.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n787,Euler,alibaba/euler,,graph,https://github.com/alibaba/euler,https://github.com/alibaba/euler,Apache-2.0,2019-01-10 06:32:32.000000,2020-07-29 05:53:02.000000,2020-07-29 05:53:01.000000,515,204.0,100.0,2534,8.0,A distributed graph deep learning framework.,5.0,15,True,2020-07-07 02:24:18.000000,2.0.0,2.0,euler-gl,,,,['tensorflow'],,,https://pypi.org/project/euler-gl,2019-04-10 01:53:45.000000,,29.0,29.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n788,GraphEmbedding,shenweichen/GraphEmbedding,,graph,https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20.000000,2021-04-06 17:36:59.000000,2020-10-18 09:32:47.000000,574,28.0,13.0,1888,28.0,Implementation and experiments of graph embedding algorithms.,8.0,15,True,,,,,,,,['sklearn'],7.0,7.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n789,pycls,facebookresearch/pycls,,image,https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17.000000,2021-04-06 08:35:04.000000,2021-03-27 08:14:57.000000,164,11.0,44.0,1519,76.0,\"Codebase for Image Classification Research, written in PyTorch.\",10.0,15,True,2020-04-15 19:33:22.000000,0.1,1.0,,,,,['pytorch'],3.0,3.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n790,zenml,maiot-io/zenml,,data-pipelines,https://github.com/maiot-io/zenml,https://github.com/maiot-io/zenml,Apache-2.0,2020-11-19 09:25:46.000000,2021-04-08 15:15:02.000000,2021-04-08 12:14:24.000000,51,16.0,22.0,1072,,ZenML : MLOps framework to create reproducible ML pipelines for production machine learning.,7.0,15,True,2021-03-30 14:09:29.000000,0.3.6,25.0,zenml,,,,,1.0,1.0,https://pypi.org/project/zenml,2021-04-06 09:51:56.000000,,472.0,472.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n791,Torch-Struct,harvardnlp/pytorch-struct,,pytorch-utils,https://github.com/harvardnlp/pytorch-struct,https://github.com/harvardnlp/pytorch-struct,MIT,2019-08-26 19:34:30.000000,2021-02-15 20:20:59.000000,2021-02-14 02:45:15.000000,71,18.0,24.0,920,261.0,\"Fast, general, and tested differentiable structured prediction in PyTorch.\",13.0,15,True,2021-02-15 20:20:59.000000,0.5,2.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n792,torchsde,google-research/torchsde,,pytorch-utils,https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11.000000,2021-03-21 23:37:09.000000,2021-03-21 23:37:09.000000,62,6.0,29.0,691,148.0,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,4.0,15,True,2021-01-05 18:31:38.000000,0.2.4,4.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n793,Translate,pytorch/translate,,nlp,https://github.com/pytorch/translate,https://github.com/pytorch/translate,BSD-3-Clause,2018-04-24 16:44:04.000000,2021-03-04 21:32:58.000000,2021-03-04 21:32:51.000000,162,66.0,27.0,685,805.0,Translate - a PyTorch Language Library.,85.0,15,True,,,1.0,pytorch-translate,,,,['pytorch'],,,https://pypi.org/project/pytorch-translate,2018-05-01 19:59:40.000000,,9.0,9.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n794,Tez,abhishekkrthakur/tez,,pytorch-utils,https://github.com/abhishekkrthakur/tez,https://github.com/abhishekkrthakur/tez,Apache-2.0,2020-11-13 10:19:22.000000,2021-03-06 18:36:45.000000,2021-03-06 18:36:45.000000,78,11.0,7.0,589,,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,1.0,15,True,2021-01-29 07:26:14.000000,0.1.2,9.0,tez,,,,['pytorch'],6.0,6.0,https://pypi.org/project/tez,2021-01-29 07:26:14.000000,,675.0,675.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n795,FlashTorch,MisaOgura/flashtorch,,interpretability,https://github.com/MisaOgura/flashtorch,https://github.com/MisaOgura/flashtorch,MIT,2019-03-22 13:00:57.000000,2020-12-14 23:09:26.000000,2020-05-29 14:37:29.000000,65,6.0,21.0,569,126.0,Visualization toolkit for neural networks in PyTorch! Demo --.,2.0,15,True,2020-05-29 14:39:38.000000,0.1.3,12.0,flashtorch,,,,['pytorch'],6.0,6.0,https://pypi.org/project/flashtorch,2020-05-29 14:38:32.000000,,249.0,249.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n796,PandaPy,firmai/pandapy,,data-containers,https://github.com/firmai/pandapy,https://github.com/firmai/pandapy,MIT,2020-01-15 18:21:23.000000,2020-11-12 16:18:45.000000,2020-11-12 16:18:44.000000,47,2.0,1.0,473,83.0,PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai).,3.0,15,True,2020-11-12 16:12:54.000000,zen,22.0,pandapy,,,,['pandas'],1.0,1.0,https://pypi.org/project/pandapy,2020-01-25 23:10:32.000000,,157.0,157.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n797,cuSignal,rapidsai/cusignal,,gpu-utilities,https://github.com/rapidsai/cusignal,https://github.com/rapidsai/cusignal,Apache-2.0,2019-08-22 14:27:27.000000,2021-04-08 13:39:46.000000,2021-04-02 15:35:16.000000,61,15.0,92.0,471,,GPU accelerated signal processing.,29.0,15,True,2021-02-24 18:04:23.000000,0.18.0,6.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n798,OpenRec,ylongqi/openrec,,recommender-systems,https://github.com/ylongqi/openrec,https://github.com/ylongqi/openrec,Apache-2.0,2017-11-29 16:04:40.000000,2020-11-13 17:47:17.000000,2020-02-19 07:57:17.000000,81,4.0,12.0,366,213.0,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms.,10.0,15,False,2020-02-18 06:52:11.000000,0.3.0,12.0,openrec,,,,,2.0,1.0,https://pypi.org/project/openrec,2020-02-18 06:52:11.000000,1.0,73.0,73.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n799,tfdeploy,riga/tfdeploy,,model-serialisation,https://github.com/riga/tfdeploy,https://github.com/riga/tfdeploy,BSD-3-Clause,2016-03-07 13:08:21.000000,2021-01-08 09:52:54.000000,2021-01-08 09:52:49.000000,38,10.0,23.0,346,170.0,Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.,4.0,15,True,2017-03-30 10:51:26.000000,0.4.2,22.0,tfdeploy,,,,['tensorflow'],2.0,,https://pypi.org/project/tfdeploy,2017-03-30 10:51:26.000000,2.0,121.0,121.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n800,Pywick,achaiah/pywick,,pytorch-utils,https://github.com/achaiah/pywick,https://github.com/achaiah/pywick,MIT,2019-03-25 15:42:47.000000,2021-03-08 15:28:01.000000,2021-03-01 17:17:46.000000,35,3.0,9.0,322,118.0,High-level batteries-included neural network training library for Pytorch.,4.0,15,True,2020-01-20 22:14:21.000000,0.5.6,6.0,pywick,,,,['pytorch'],2.0,2.0,https://pypi.org/project/pywick,2020-01-20 22:14:21.000000,,131.0,131.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n801,data-describe,data-describe/data-describe,,data-viz,https://github.com/data-describe/data-describe,https://github.com/data-describe/data-describe,Apache-2.0,2020-05-04 17:58:14.000000,2021-04-01 06:51:33.000000,2021-03-02 19:30:45.000000,14,70.0,174.0,270,695.0,datadescribe: Pythonic EDA Accelerator for Data Science.,14.0,15,True,,,5.0,data-describe,,,,,,,https://pypi.org/project/data-describe,2020-12-03 23:07:43.000000,,306.0,306.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n802,Parfit,jmcarpenter2/parfit,,hyperopt,https://github.com/jmcarpenter2/parfit,https://github.com/jmcarpenter2/parfit,MIT,2017-11-22 20:17:51.000000,2020-04-04 19:26:44.000000,2020-04-04 19:26:37.000000,25,6.0,5.0,197,127.0,\"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..\",2.0,15,True,,,23.0,parfit,,,,['sklearn'],8.0,8.0,https://pypi.org/project/parfit,2018-10-11 22:03:16.000000,,5574.0,5574.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n803,NeuralQA,victordibia/neuralqa,,nlp,https://github.com/victordibia/neuralqa,https://github.com/victordibia/neuralqa,MIT,2020-05-19 03:55:56.000000,2021-03-25 23:57:21.000000,2020-12-16 17:41:37.000000,24,21.0,8.0,189,312.0,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,3.0,15,True,,,27.0,neuralqa,,,,,2.0,2.0,https://pypi.org/project/neuralqa,2020-09-18 17:54:50.000000,,115.0,115.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n804,Auptimizer,LGE-ARC-AdvancedAI/auptimizer,,hyperopt,https://github.com/LGE-ARC-AdvancedAI/auptimizer,https://github.com/LGE-ARC-AdvancedAI/auptimizer,GPL-3.0,2019-09-12 01:08:37.000000,2021-03-03 01:50:33.000000,2021-03-03 01:30:06.000000,21,1.0,5.0,168,79.0,An automatic ML model optimization tool.,11.0,15,False,2021-03-03 02:00:23.000000,2.0,7.0,auptimizer,,,,,,,https://pypi.org/project/auptimizer,2021-03-02 02:40:32.000000,,332.0,332.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n805,nx-altair,Zsailer/nx_altair,,data-viz,https://github.com/Zsailer/nx_altair,https://github.com/Zsailer/nx_altair,MIT,2018-05-13 00:10:12.000000,2020-09-30 12:01:08.000000,2020-06-02 21:10:26.000000,20,5.0,4.0,161,51.0,Draw interactive NetworkX graphs with Altair.,3.0,15,True,2020-06-02 21:11:12.000000,0.1.6,8.0,nx-altair,,,,['jupyter'],4.0,,https://pypi.org/project/nx-altair,2020-06-02 21:11:12.000000,4.0,303.0,303.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n806,ModelChimp,ModelChimp/modelchimp,,ml-experiments,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03.000000,2021-04-07 23:39:44.000000,2021-02-15 13:37:13.000000,12,4.0,10.0,121,361.0,Experiment tracking for machine and deep learning projects.,3.0,15,False,2019-04-09 10:43:15.000000,0.4.0,37.0,modelchimp,,modelchimp/modelchimp-server,,,,,https://pypi.org/project/modelchimp,2019-04-09 10:41:20.000000,,437.0,459.0,,,,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,638.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n807,DE⫶TR,facebookresearch/detr,,image,https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52.000000,2021-04-08 08:54:46.000000,2020-11-15 16:03:45.000000,1037,76.0,224.0,6615,41.0,End-to-End Object Detection with Transformers.,19.0,14,True,2020-06-29 16:41:01.000000,0.2,1.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n808,PySlowFast,facebookresearch/SlowFast,,image,https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26.000000,2021-03-24 09:38:55.000000,2021-03-23 19:31:09.000000,673,188.0,188.0,3475,106.0,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,20.0,14,True,,,,,,,,['pytorch'],2.0,2.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n809,OpenNRE,thunlp/OpenNRE,,nlp,https://github.com/thunlp/OpenNRE,https://github.com/thunlp/OpenNRE,MIT,2017-02-26 07:37:12.000000,2021-03-09 04:16:47.000000,2021-03-09 04:16:47.000000,864,24.0,287.0,3049,139.0,An Open-Source Package for Neural Relation Extraction (NRE).,9.0,14,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n810,OpenKE,thunlp/OpenKE,,graph,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,MIT,2017-10-08 11:20:23.000000,2021-04-06 08:24:33.000000,2021-04-06 08:24:50.000000,776,60.0,226.0,2500,97.0,An Open-Source Package for Knowledge Embedding (KE).,10.0,14,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n811,GraphSAGE,williamleif/GraphSAGE,,graph,https://github.com/williamleif/GraphSAGE,https://github.com/williamleif/GraphSAGE,MIT,2017-05-29 15:36:22.000000,2021-02-02 21:46:42.000000,2018-09-19 19:27:00.000000,638,85.0,58.0,2252,59.0,Representation learning on large graphs using stochastic graph convolutions.,9.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n812,ZhuSuan,thu-ml/zhusuan,,probabilistics,https://github.com/thu-ml/zhusuan,https://github.com/thu-ml/zhusuan,MIT,2016-07-18 13:31:38.000000,2020-01-09 14:51:27.000000,2019-08-05 10:00:04.000000,387,8.0,53.0,2024,439.0,\"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.\",20.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n813,OpenNE,thunlp/OpenNE,,graph,https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20.000000,2021-03-22 13:16:57.000000,2019-08-12 10:56:27.000000,446,50.0,82.0,1440,98.0,An Open-Source Package for Network Embedding (NE).,10.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n814,Anchor,marcotcr/anchor,,interpretability,https://github.com/marcotcr/anchor,https://github.com/marcotcr/anchor,BSD-2-Clause,2018-02-02 23:38:50.000000,2020-09-10 17:49:26.000000,2020-09-10 17:48:28.000000,87,14.0,46.0,630,39.0,Code for High-Precision Model-Agnostic Explanations paper.,8.0,14,True,,,8.0,anchor_exp,,,,,,,https://pypi.org/project/anchor_exp,2020-06-26 20:56:50.000000,,670.0,670.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n815,AutoGL,THUMNLab/AutoGL,,graph,https://github.com/THUMNLab/AutoGL,https://github.com/THUMNLab/AutoGL,MIT,2020-11-30 14:26:22.000000,2021-04-07 17:03:34.000000,2021-02-07 03:05:02.000000,59,5.0,4.0,600,,An autoML framework & toolkit for machine learning on graphs.,5.0,14,True,2020-12-23 08:15:15.000000,0.1.1,2.0,auto-graph-learning,,,,['pytorch'],,,https://pypi.org/project/auto-graph-learning,2020-12-23 08:05:25.000000,,112.0,112.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n816,Adversary,airbnb/artificial-adversary,,adversarial,https://github.com/airbnb/artificial-adversary,https://github.com/airbnb/artificial-adversary,MIT,2018-08-08 04:42:11.000000,2018-10-14 05:34:44.000000,2018-08-29 15:31:30.000000,51,6.0,,348,15.0,Tool to generate adversarial text examples and test machine learning models against them.,5.0,14,False,2018-08-29 15:14:41.000000,1.1.1,3.0,Adversary,,,,,6.0,6.0,https://pypi.org/project/Adversary,2018-08-29 15:14:41.000000,0.0,65.0,65.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n817,TransferNLP,feedly/transfer-nlp,,nlp,https://github.com/feedly/transfer-nlp,https://github.com/feedly/transfer-nlp,MIT,2019-03-12 20:00:31.000000,2020-05-28 19:00:02.000000,2020-05-28 17:31:53.000000,18,4.0,19.0,287,465.0,NLP library designed for reproducible experimentation management.,7.0,14,True,2020-05-28 19:00:02.000000,0.1.6,8.0,transfer-nlp,,,,['pytorch'],,,https://pypi.org/project/transfer-nlp,2020-05-28 19:00:02.000000,,138.0,138.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n818,textvec,textvec/textvec,,nlp,https://github.com/textvec/textvec,https://github.com/textvec/textvec,MIT,2018-04-12 14:03:53.000000,2020-12-03 14:23:11.000000,2020-12-03 14:23:04.000000,21,2.0,6.0,168,70.0,Text vectorization tool to outperform TFIDF for classification tasks.,5.0,14,True,2019-09-12 07:41:04.000000,2.0,4.0,textvec,,,,['sklearn'],2.0,2.0,https://pypi.org/project/textvec,2020-12-03 14:17:09.000000,,154.0,154.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n819,DeepNeuro,QTIM-Lab/DeepNeuro,,medical-data,https://github.com/QTIM-Lab/DeepNeuro,https://github.com/QTIM-Lab/DeepNeuro,MIT,2017-06-01 19:36:34.000000,2020-06-24 13:00:15.000000,2020-06-24 13:00:14.000000,32,27.0,16.0,101,285.0,A deep learning python package for neuroimaging data. Made by:.,6.0,14,False,2019-06-10 21:04:04.000000,0.2.3,6.0,deepneuro,,,,,1.0,1.0,https://pypi.org/project/deepneuro,2019-06-10 21:04:04.000000,,89.0,89.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n820,Hypermax,electricbrainio/hypermax,,hyperopt,https://github.com/electricbrainio/hypermax,https://github.com/electricbrainio/hypermax,BSD-3-Clause,2018-07-27 18:43:01.000000,2020-08-02 18:08:50.000000,2020-08-02 18:08:46.000000,15,3.0,1.0,96,207.0,\"Better, faster hyper-parameter optimization.\",9.0,14,False,2019-10-23 15:40:12.000000,0.5.1,11.0,hypermax,,,,,4.0,4.0,https://pypi.org/project/hypermax,2019-10-23 15:40:12.000000,,100.0,100.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n821,Attribution Priors,suinleelab/attributionpriors,,interpretability,https://github.com/suinleelab/attributionpriors,https://github.com/suinleelab/attributionpriors,MIT,2019-06-24 23:54:24.000000,2021-03-19 19:43:58.000000,2021-03-19 19:43:51.000000,5,1.0,3.0,75,72.0,Tools for training explainable models using attribution priors.,6.0,14,False,2021-03-16 17:47:18.000000,1.0.0,4.0,attributionpriors,,,,\"['tensorflow', 'pytorch']\",2.0,2.0,https://pypi.org/project/attributionpriors,2019-10-31 18:03:05.000000,,122.0,122.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n822,LazyCluster,ml-tooling/lazycluster,,distributed-ml,https://github.com/ml-tooling/lazycluster,https://github.com/ml-tooling/lazycluster,Apache-2.0,2019-08-07 08:05:13.000000,2021-04-06 18:36:57.000000,2020-12-14 15:24:53.000000,6,,,33,,Distributed machine learning made simple.,2.0,14,False,2020-12-14 15:25:59.000000,0.2.4,5.0,lazycluster,,,,,3.0,3.0,https://pypi.org/project/lazycluster,2020-12-14 14:49:33.000000,,280.0,280.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n823,nptsne,biovault/nptsne,,data-viz,https://github.com/biovault/nptsne,https://github.com/biovault/nptsne,Apache-2.0,2019-06-28 08:40:25.000000,2021-03-08 15:54:27.000000,2021-02-03 08:52:27.000000,2,6.0,5.0,25,857.0,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,3.0,14,False,2020-09-10 23:54:14.000000,1.1.0,2.0,nptsne,,,,,2.0,2.0,https://pypi.org/project/nptsne,2020-09-10 23:54:14.000000,,152.0,152.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n824,StarSpace,facebookresearch/StarSpace,,ml-frameworks,https://github.com/facebookresearch/StarSpace,https://github.com/facebookresearch/StarSpace,MIT,2017-06-28 17:50:18.000000,2020-05-18 03:40:57.000000,2019-12-13 19:03:25.000000,494,50.0,146.0,3579,138.0,\"Learning embeddings for classification, retrieval and ranking.\",17.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n825,ENAS,carpedm20/ENAS-pytorch,,hyperopt,https://github.com/carpedm20/ENAS-pytorch,https://github.com/carpedm20/ENAS-pytorch,Apache-2.0,2018-02-15 04:54:37.000000,2020-12-09 18:13:03.000000,2020-06-16 07:23:32.000000,447,37.0,7.0,2411,53.0,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,6.0,13,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n826,micrograd,karpathy/micrograd,,pytorch-utils,https://github.com/karpathy/micrograd,https://github.com/karpathy/micrograd,MIT,2020-04-13 04:31:18.000000,2020-12-18 12:55:50.000000,2020-04-18 19:15:25.000000,121,2.0,3.0,1632,24.0,A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.,2.0,13,True,2020-04-18 19:06:59.000000,0.1.0,1.0,micrograd,,,,['pytorch'],1.0,1.0,https://pypi.org/project/micrograd,2020-04-18 19:06:59.000000,0.0,34.0,34.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n827,Medical Detection Toolkit,MIC-DKFZ/medicaldetectiontoolkit,,medical-data,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,Apache-2.0,2018-10-12 12:34:57.000000,2021-03-30 11:54:29.000000,2021-03-30 11:54:21.000000,237,27.0,85.0,927,37.0,\"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..\",3.0,13,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n828,NeoML,neoml-lib/neoml,,ml-frameworks,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000000,2021-04-08 13:57:04.000000,2021-04-07 17:50:16.000000,83,38.0,13.0,577,293.0,Machine learning framework for both deep learning and traditional algorithms.,20.0,13,True,2020-06-14 17:44:03.000000,NeoML-master_1.0.1.0,1.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n829,ONNX-T5,abelriboulot/onnxt5,,nlp,https://github.com/abelriboulot/onnxt5,https://github.com/abelriboulot/onnxt5,Apache-2.0,2020-08-01 09:38:35.000000,2021-01-28 09:26:15.000000,2021-01-28 09:24:52.000000,19,5.0,6.0,147,74.0,\"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..\",3.0,13,False,2021-01-28 09:26:15.000000,0.1.8,11.0,onnxt5,,,,,,,https://pypi.org/project/onnxt5,2021-01-28 09:26:15.000000,,111.0,111.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n830,featurewiz,AutoViML/featurewiz,,hyperopt,https://github.com/AutoViML/featurewiz,https://github.com/AutoViML/featurewiz,Apache-2.0,2020-11-29 16:46:16.000000,2021-03-26 02:07:46.000000,2021-03-26 02:06:21.000000,14,1.0,,48,,Use advanced feature engineering strategies and select the best features from your data set fast with a single line of..,1.0,13,False,2021-03-25 14:45:32.000000,0.0.32,33.0,featurewiz,,,,,,,https://pypi.org/project/featurewiz,2021-03-26 02:07:46.000000,,1544.0,1544.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n831,surpriver,tradytics/surpriver,,financial-data,https://github.com/tradytics/surpriver,https://github.com/tradytics/surpriver,GPL-3.0,2020-08-30 07:56:22.000000,2020-11-13 00:48:16.000000,2020-09-21 04:32:05.000000,216,10.0,5.0,1183,64.0,Find big moving stocks before they move using machine learning and anomaly detection.,6.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n832,GraphVite,DeepGraphLearning/graphvite,,graph,https://github.com/DeepGraphLearning/graphvite,https://github.com/DeepGraphLearning/graphvite,Apache-2.0,2019-07-16 15:48:20.000000,2021-01-14 02:19:03.000000,2021-01-14 02:18:46.000000,119,26.0,55.0,874,15.0,GraphVite: A General and High-performance Graph Embedding System.,1.0,12,True,,,4.0,,milagraph/graphvite,,,,,,,,,,182.0,https://anaconda.org/milagraph/graphvite,2020-03-19 18:21:30.972000,3642.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n833,bias-detector,intuit/bias-detector,,interpretability,https://github.com/intuit/bias-detector,https://github.com/intuit/bias-detector,MIT,2021-02-02 16:58:52.000000,2021-02-14 12:06:08.000000,2021-02-14 12:06:02.000000,4,,,19,,Bias Detector is a python package for detecting bias in machine learning models.,3.0,12,False,2021-02-09 11:20:10.000000,0.0.11,10.0,bias-detector,,,,,,,https://pypi.org/project/bias-detector,2021-02-09 11:20:10.000000,,368.0,368.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n834,MedicalNet,Tencent/MedicalNet,,medical-data,https://github.com/Tencent/MedicalNet,https://github.com/Tencent/MedicalNet,MIT,2019-07-17 09:53:10.000000,2020-08-27 13:37:27.000000,2020-08-27 13:37:26.000000,293,45.0,14.0,1080,26.0,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,1.0,11,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n835,Devol,joeddav/devol,,hyperopt,https://github.com/joeddav/devol,https://github.com/joeddav/devol,MIT,2017-02-10 03:07:54.000000,2020-07-05 21:56:59.000000,2020-07-05 21:56:58.000000,109,7.0,20.0,928,116.0,Genetic neural architecture search with Keras.,18.0,11,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n836,PySparNN,facebookresearch/pysparnn,,nn-search,https://github.com/facebookresearch/pysparnn,https://github.com/facebookresearch/pysparnn,BSD-3-Clause,2016-03-28 20:43:42.000000,2020-10-02 06:01:01.000000,2018-01-31 16:50:23.000000,142,13.0,14.0,867,147.0,Approximate Nearest Neighbor Search for Sparse Data in Python!.,5.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n837,Hypertunity,gdikov/hypertunity,,hyperopt,https://github.com/gdikov/hypertunity,https://github.com/gdikov/hypertunity,Apache-2.0,2019-06-02 12:04:55.000000,2020-01-26 23:14:49.000000,2020-01-26 22:53:29.000000,9,,2.0,120,64.0,A toolset for black-box hyperparameter optimisation.,2.0,11,False,2020-01-26 23:08:16.000000,1.0.1,7.0,hypertunity,,,,,2.0,2.0,https://pypi.org/project/hypertunity,2020-01-26 23:08:16.000000,,52.0,52.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n838,traintool,jrieke/traintool,,ml-experiments,https://github.com/jrieke/traintool,https://github.com/jrieke/traintool,Apache-2.0,2020-09-30 22:23:05.000000,2021-03-12 01:44:04.000000,2021-03-12 01:43:14.000000,1,,,9,122.0,Train off-the-shelf machine learning models in one line of code.,,11,False,2020-11-02 02:25:32.000000,0.0.3,3.0,traintool,,,,\"['pytorch', 'tensorflow', 'sklearn']\",,,https://pypi.org/project/traintool,2020-11-02 02:25:32.000000,,14.0,14.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n839,traingenerator,jrieke/traingenerator,,others,https://github.com/jrieke/traingenerator,https://github.com/jrieke/traingenerator,MIT,2020-12-03 16:47:16.000000,2021-03-03 18:43:40.000000,2021-01-20 23:05:06.000000,129,9.0,3.0,962,,A web app to generate template code for machine learning.,3.0,10,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n840,Mozart,aashrafh/Mozart,,ocr,https://github.com/aashrafh/Mozart,https://github.com/aashrafh/Mozart,Apache-2.0,2020-12-14 11:49:14.000000,2021-04-04 17:30:24.000000,2021-04-04 17:30:24.000000,39,1.0,2.0,250,,An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.,5.0,10,True,,,,,,,,['sklearn'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n841,bodywork-core,bodywork-ml/bodywork-core,,data-pipelines,https://github.com/bodywork-ml/bodywork-core,https://github.com/bodywork-ml/bodywork-core,AGPL-3.0,2020-11-17 11:38:17.000000,2021-03-31 20:38:29.000000,2021-03-31 20:34:08.000000,10,,17.0,149,272.0,MLOps tool for deploying machine learning projects to Kubernetes.,4.0,10,False,,,,bodywork-core,,,,,,,https://pypi.org/project/bodywork-core,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n"
  },
  {
    "path": "history/2021-04-15_changes.md",
    "content": "## 📈 Trending Up\n\n_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._\n\n- <b><a href=\"https://github.com/scipy/scipy\">scipy</a></b> (🥇42 ·  ⭐ 8.1K · 📈) - Ecosystem of open-source software for mathematics, science, and.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/pytorch/pytorch\">PyTorch</a></b> (🥇41 ·  ⭐ 48K · 📈) - Tensors and Dynamic neural networks in Python with strong GPU.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/dmlc/xgboost\">XGBoost</a></b> (🥇37 ·  ⭐ 21K · 📈) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/microsoft/LightGBM\">LightGBM</a></b> (🥇36 ·  ⭐ 12K · 📈) - A fast, distributed, high performance gradient boosting (GBT, GBDT,.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/apache/flink\">PyFlink</a></b> (🥈34 ·  ⭐ 16K · 📈) - Apache Flink Python API. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/scikit-image/scikit-image\">scikit-image</a></b> (🥇34 ·  ⭐ 4.3K · 📈) - Image processing in Python. <code><a href=\"http://bit.ly/3rqEWVr\">BSD-2</a></code>\n- <b><a href=\"https://github.com/tensorflow/datasets\">TensorFlow Datasets</a></b> (🥇34 ·  ⭐ 2.8K · 📈) - TFDS is a collection of datasets ready to use with.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/aleju/imgaug\">imgaug</a></b> (🥇32 ·  ⭐ 11K · 💤) - Image augmentation for machine learning experiments. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/lukemelas/EfficientNet-PyTorch\">EfficientNet-PyTorch</a></b> (🥇27 ·  ⭐ 5.8K · 📈) - A PyTorch implementation of EfficientNet and.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/google-research/text-to-text-transfer-transformer\">T5</a></b> (🥉25 ·  ⭐ 3.3K · 📈) - Code for the paper Exploring the Limits of Transfer Learning with.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n\n## 📉 Trending Down\n\n_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._\n\n- <b><a href=\"https://github.com/sympy/sympy\">SymPy</a></b> (🥇35 ·  ⭐ 8K · 📉) - A computer algebra system written in pure Python. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/ipython/ipyparallel\">ipyparallel</a></b> (🥈26 ·  ⭐ 1.9K · 📉) - Interactive Parallel Computing in Python. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/Azure/mmlspark\">MMLSpark</a></b> (🥉22 ·  ⭐ 2.3K · 📉) - Microsoft Machine Learning for Apache Spark. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1N\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/peerchemist/finta\">FinTA</a></b> (🥉22 ·  ⭐ 970 · 📉) - Common financial technical indicators implemented in Pandas. <code><a href=\"http://bit.ly/37RvQcA\">❗️LGPL-3.0</a></code>\n- <b><a href=\"https://github.com/unit8co/darts\">Darts</a></b> (🥉21 ·  ⭐ 800 · 📉) - A python library for easy manipulation and forecasting of time series. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/MaxHalford/prince\">Prince</a></b> (🥉21 ·  ⭐ 620 · 📉) - Python factor analysis library (PCA, CA, MCA, MFA, FAMD). <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/sentinelsat/sentinelsat\">Sentinelsat</a></b> (🥉21 ·  ⭐ 580 · 📉) - Search and download Copernicus Sentinel satellite images. <code><a href=\"http://bit.ly/2M0xdwT\">❗️GPL-3.0</a></code>\n- <b><a href=\"https://github.com/nicolaskruchten/jupyter_pivottablejs\">pivottablejs</a></b> (🥉19 ·  ⭐ 430 · 💀) - Dragndrop Pivot Tables and Charts for Jupyter/IPython.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/tensorflow/compression\">TF Compression</a></b> (🥉18 ·  ⭐ 460 · 📉) - Data compression in TensorFlow. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n\n"
  },
  {
    "path": "history/2021-04-15_projects.csv",
    "content": ",name,github_id,resource,category,github_url,homepage,license,created_at,updated_at,last_commit_pushed_at,fork_count,open_issue_count,closed_issue_count,star_count,commit_count,description,contributor_count,projectrank,show,latest_stable_release_published_at,latest_stable_release_number,release_count,pypi_id,conda_id,dockerhub_id,docs_url,labels,dependent_project_count,github_dependent_project_count,pypi_url,pypi_latest_release_published_at,pypi_dependent_project_count,pypi_monthly_downloads,monthly_downloads,conda_url,conda_latest_release_published_at,conda_total_downloads,dockerhub_url,dockerhub_latest_release_published_at,dockerhub_stars,dockerhub_pulls,projectrank_placing,github_release_downloads,trending,helm_id,npm_id,npm_url,npm_latest_release_published_at,npm_dependent_project_count,npm_monthly_downloads,conda_dependent_project_count,brew_id,apt_id,yum_id,updated_github_id,snap_id,dnf_id,yay_id,maven_id,maven_url,maven_latest_release_published_at,maven_dependent_project_count,gitlab_id,gitlab_url\n0,ANN Benchmarks,erikbern/ann-benchmarks,True,nn-search,https://github.com/erikbern/ann-benchmarks,https://github.com/erikbern/ann-benchmarks,MIT,2015-05-28 13:21:43.000000,2021-04-14 18:33:30.000000,2021-04-06 16:22:36.000000,336,27.0,61.0,2158,1179.0,Benchmarks of approximate nearest neighbor libraries in Python.,54.0,0,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n1,best-of-web-python - Web Scraping,ml-tooling/best-of-web-python,True,web-scraping,https://github.com/ml-tooling/best-of-web-python,https://github.com/ml-tooling/best-of-web-python,CC-BY-SA-4.0,2021-01-05 13:09:27.000000,2021-04-15 15:21:31.000000,2021-04-08 16:14:07.000000,74,,2.0,1160,,Collection of web-scraping and crawling libraries.,6.0,0,True,2021-04-08 16:14:36.000000,2021.04.08,13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n2,best-of-python - DB Clients,ml-tooling/best-of-python,True,db-clients,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#database-clients,CC-BY-SA-4.0,2021-01-11 19:11:32.000000,2021-04-15 14:48:59.000000,2021-04-08 14:48:53.000000,112,,3.0,1558,,Collection of database clients for python.,5.0,0,True,2021-04-08 14:49:01.000000,2021.04.08,12.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n3,Tensorflow,tensorflow/tensorflow,,ml-frameworks,https://github.com/tensorflow/tensorflow,https://github.com/tensorflow/tensorflow,Apache-2.0,2015-11-07 01:19:20.000000,2021-04-15 14:05:24.000000,2021-04-15 14:01:13.000000,84359,4031.0,27292.0,156783,108827.0,An Open Source Machine Learning Framework for Everyone.,3624.0,44,True,2021-01-21 19:55:54.000000,2.4.1,117.0,tensorflow,conda-forge/tensorflow,tensorflow/tensorflow,https://www.tensorflow.org/overview,['tensorflow'],153939.0,131415.0,https://pypi.org/project/tensorflow,2021-04-01 23:34:05.000000,22524.0,9610797.0,10420783.0,https://anaconda.org/conda-forge/tensorflow,2021-04-12 19:23:10.836000,2472707.0,https://hub.docker.com/r/tensorflow/tensorflow,2021-04-15 13:34:09.655793,1884.0,50014310.0,1.0,,,,,,,,,,,,,,,,,,,,,,\n4,pandas,pandas-dev/pandas,,data-containers,https://github.com/pandas-dev/pandas,https://github.com/pandas-dev/pandas,BSD-3-Clause,2010-08-24 01:37:33.000000,2021-04-15 14:20:03.000000,2021-04-15 09:31:34.000000,12194,3717.0,16807.0,29338,26497.0,\"Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R..\",2650.0,43,True,2021-04-12 18:41:49.000000,1.2.4,91.0,pandas,conda-forge/pandas,,,['pandas'],498737.0,421953.0,https://pypi.org/project/pandas,2021-04-12 18:43:31.000000,76784.0,45755134.0,46019791.0,https://anaconda.org/conda-forge/pandas,2021-04-13 16:22:06.030000,15545146.0,,,,,1.0,102736.0,,,,,,,,,,,,,,,,,,,,,\n5,scipy,scipy/scipy,,others,https://github.com/scipy/scipy,https://github.com/scipy/scipy,BSD-3-Clause,2011-03-09 18:52:03.000000,2021-04-15 12:45:39.000000,2021-04-15 09:10:18.000000,3618,1612.0,5844.0,8119,25379.0,\"Ecosystem of open-source software for mathematics, science, and engineering.\",1148.0,42,True,2021-03-25 02:04:06.000000,1.6.2,61.0,scipy,conda-forge/scipy,,,,414675.0,327813.0,https://pypi.org/project/scipy,2021-02-18 02:35:14.000000,86862.0,28058582.0,28297542.0,https://anaconda.org/conda-forge/scipy,2021-03-27 22:49:06.551000,13832052.0,,,,,1.0,311861.0,1.0,,,,,,,,,,,,,,,,,,,,\n6,PyTorch,pytorch/pytorch,,ml-frameworks,https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41.000000,2021-04-15 14:01:49.000000,2021-04-15 13:06:11.000000,12681,8648.0,13654.0,47586,35484.0,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,2607.0,41,True,2021-03-25 16:07:08.000000,1.8.1,32.0,torch,pytorch/pytorch,,https://pytorch.org/docs/stable/index.html,['pytorch'],77683.0,71001.0,https://pypi.org/project/torch,2021-03-25 15:54:32.000000,6682.0,3695412.0,3954836.0,https://anaconda.org/pytorch/pytorch,2021-03-25 16:42:58.661000,10636384.0,,,,,1.0,,1.0,,,,,,,,,,,,,,,,,,,,\n7,Matplotlib,matplotlib/matplotlib,,data-viz,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,Python-2.0,2011-02-19 03:17:12.000000,2021-04-15 14:26:04.000000,2021-04-15 05:06:18.000000,5733,1702.0,6139.0,13468,38561.0,matplotlib: plotting with Python.,1223.0,41,True,2021-03-31 07:23:52.000000,3.4.1,66.0,matplotlib,conda-forge/matplotlib,,,,432751.0,353647.0,https://pypi.org/project/matplotlib,2021-03-26 07:50:28.000000,79104.0,18851081.0,18979833.0,https://anaconda.org/conda-forge/matplotlib,2021-03-31 18:55:37.001000,8626406.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n8,Pillow,python-pillow/Pillow,,image,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000000,2021-04-15 11:51:19.000000,2021-04-15 10:26:31.000000,1609,214.0,1965.0,8419,11568.0,The friendly PIL fork (Python Imaging Library).,356.0,40,True,2021-04-01 20:55:51.000000,8.2.0,80.0,Pillow,conda-forge/pillow,,,,552230.0,440804.0,https://pypi.org/project/Pillow,2021-04-01 20:53:21.000000,111426.0,32803333.0,32936901.0,https://anaconda.org/conda-forge/pillow,2021-04-08 13:38:34.408000,8014083.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n9,Celery,celery/celery,,data-pipelines,https://github.com/celery/celery,https://github.com/celery/celery,BSD-3-Clause,2009-04-24 11:31:24.000000,2021-04-13 17:51:16.000000,2021-04-13 02:44:11.000000,3974,497.0,3977.0,17081,11572.0,Asynchronous task queue/job queue based on distributed message passing.,1107.0,39,True,2021-04-02 04:55:05.000000,5.1.0b1,172.0,celery,conda-forge/celery,,,,79636.0,51402.0,https://pypi.org/project/celery,2021-04-02 04:52:41.000000,28234.0,4990288.0,4997883.0,https://anaconda.org/conda-forge/celery,2021-03-24 04:34:11.646000,463311.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n10,PySpark,apache/spark,,ml-frameworks,https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08.000000,2021-04-15 14:07:39.000000,2021-04-15 14:07:34.000000,23545,218.0,,29375,29818.0,Apache Spark Python API.,2440.0,38,True,2021-02-19 18:08:00.000000,3.0.2,22.0,pyspark,conda-forge/pyspark,,,['spark'],1342.0,582.0,https://pypi.org/project/pyspark,2021-02-19 18:08:00.000000,760.0,9686556.0,9706727.0,https://anaconda.org/conda-forge/pyspark,2021-03-04 09:44:05.675000,988399.0,,,,,1.0,,,stable/spark,,,,,,,,,,,,,,,,,,,\n11,numpy,numpy/numpy,,data-containers,https://github.com/numpy/numpy,https://github.com/numpy/numpy,BSD-3-Clause,2010-09-13 23:02:39.000000,2021-04-15 14:25:19.000000,2021-04-15 09:21:52.000000,5386,2271.0,7433.0,16846,,The fundamental package for scientific computing with Python.,1297.0,38,True,2021-03-27 23:33:19.000000,1.20.2,97.0,numpy,conda-forge/numpy,,,,847120.0,677398.0,https://pypi.org/project/numpy,2021-03-27 22:16:26.000000,169722.0,70494022.0,70809209.0,https://anaconda.org/conda-forge/numpy,2021-03-28 21:35:26.037000,18229808.0,,,,,1.0,329054.0,,,,,,,,,,,,,,,,,,,,,\n12,scikit-learn,scikit-learn/scikit-learn,,ml-frameworks,https://github.com/scikit-learn/scikit-learn,https://github.com/scikit-learn/scikit-learn,BSD-3-Clause,2010-08-17 09:43:38.000000,2021-04-15 14:04:31.000000,2021-04-15 12:33:22.000000,21271,2379.0,6816.0,45376,,scikit-learn: machine learning in Python.,2198.0,37,True,2021-01-19 18:10:37.000000,0.24.1,53.0,scikit-learn,conda-forge/scikit-learn,,,['sklearn'],247654.0,209766.0,https://pypi.org/project/scikit-learn,2021-01-19 18:06:50.000000,37888.0,20955786.0,21085775.0,https://anaconda.org/conda-forge/scikit-learn,2021-01-21 23:33:46.354000,7668716.0,,,,,1.0,683.0,,,,,,,,,,,,,,,,,,,,,\n13,XGBoost,dmlc/xgboost,,ml-frameworks,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000000,2021-04-15 13:53:45.000000,2021-04-15 10:45:17.000000,7942,278.0,3727.0,20850,5290.0,\"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..\",512.0,37,True,2021-04-11 00:43:19.000000,1.4.0,55.0,xgboost,conda-forge/xgboost,,https://xgboost.readthedocs.io/en/latest/,,17364.0,15772.0,https://pypi.org/project/xgboost,2021-04-12 18:26:19.000000,1592.0,5062122.0,5093186.0,https://anaconda.org/conda-forge/xgboost,2021-03-09 14:27:32.491000,1521050.0,,,,,1.0,1991.0,1.0,,,,,,,,,,,,,,,,,,,,\n14,spaCy,explosion/spaCy,,nlp,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000000,2021-04-15 13:46:09.000000,2021-04-12 12:37:00.000000,3366,107.0,4456.0,20168,14436.0,Industrial-strength Natural Language Processing (NLP) in Python.,575.0,37,True,2021-03-10 11:33:30.000000,3.0.5,176.0,spacy,conda-forge/spacy,,,,26697.0,23631.0,https://pypi.org/project/spacy,2021-03-10 11:33:30.000000,3066.0,2024325.0,2057715.0,https://anaconda.org/conda-forge/spacy,2021-03-11 13:42:03.785000,1666767.0,,,,,1.0,3001.0,,,,,,,,,,,,,,,,,,,,,\n15,Faker,joke2k/faker,,data-loading,https://github.com/joke2k/faker,https://github.com/joke2k/faker,MIT,2012-11-12 23:00:09.000000,2021-04-15 14:01:38.000000,2021-04-13 22:06:50.000000,1404,142.0,360.0,12396,2610.0,Faker is a Python package that generates fake data for you.,397.0,37,True,2021-04-13 22:07:27.000000,8.1.0,134.0,Faker,conda-forge/faker,,,,30241.0,25529.0,https://pypi.org/project/Faker,2021-04-05 18:17:51.000000,4712.0,4123991.0,4132337.0,https://anaconda.org/conda-forge/faker,2021-04-14 00:47:35.172000,408966.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n16,Seaborn,mwaskom/seaborn,,data-viz,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000000,2021-04-14 11:22:01.000000,2021-04-14 11:22:01.000000,1383,95.0,1733.0,8317,2764.0,Statistical data visualization using matplotlib.,150.0,37,True,2021-03-29 17:36:25.000000,joss_paper,23.0,seaborn,conda-forge/seaborn,,,,102679.0,89893.0,https://pypi.org/project/seaborn,2020-12-20 20:53:25.000000,12786.0,4956993.0,4997011.0,https://anaconda.org/conda-forge/seaborn,2021-01-28 11:50:33.609000,2240978.0,,,,,1.0,159.0,,,,,,,,,,,,,,,,,,,,,\n17,transformers,huggingface/transformers,,nlp,https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000000,2021-04-15 13:41:30.000000,2021-04-15 13:32:32.000000,10575,720.0,5885.0,44236,6999.0,Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.,848.0,36,True,2021-04-13 15:25:42.000000,4.5.1,56.0,transformers,conda-forge/transformers,,,\"['pytorch', 'tensorflow']\",9733.0,9605.0,https://pypi.org/project/transformers,2021-04-13 15:21:35.000000,128.0,1725014.0,1726972.0,https://anaconda.org/conda-forge/transformers,2021-04-14 06:06:28.483000,34467.0,,,,,1.0,1280.0,,,,,,,,,,,,,,,,,,,,,\n18,Airflow,apache/airflow,,data-pipelines,https://github.com/apache/airflow,https://github.com/apache/airflow,Apache-2.0,2015-04-13 18:04:58.000000,2021-04-15 15:01:29.000000,2021-04-15 14:34:20.000000,8316,938.0,2340.0,21390,12170.0,\"Platform to programmatically author, schedule, and monitor workflows.\",1837.0,36,True,2021-03-17 17:29:35.000000,1.10.15,73.0,apache-airflow,conda-forge/airflow,apache/airflow,,,294.0,,https://pypi.org/project/apache-airflow,2021-02-08 22:43:55.000000,294.0,1791836.0,2005333.0,https://anaconda.org/conda-forge/airflow,2021-03-17 22:02:37.373000,303443.0,https://hub.docker.com/r/apache/airflow,2021-04-13 02:40:42.604256,233.0,14787664.0,1.0,112739.0,,stable/airflow,,,,,,,,,,,,,,,,,,,\n19,LightGBM,microsoft/LightGBM,,ml-frameworks,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000000,2021-04-15 12:34:57.000000,2021-04-15 01:09:59.000000,3264,112.0,2093.0,12424,2447.0,\"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..\",219.0,36,True,2021-04-12 23:03:24.000000,3.2.1,25.0,lightgbm,conda-forge/lightgbm,,,,7006.0,6450.0,https://pypi.org/project/lightgbm,2021-03-22 15:04:09.000000,556.0,3663681.0,3678121.0,https://anaconda.org/conda-forge/lightgbm,2021-03-22 18:06:45.738000,550206.0,,,,,1.0,106304.0,1.0,,,,,,,,,,,,,,,,,,,,\n20,gensim,RaRe-Technologies/gensim,,nlp,https://github.com/RaRe-Technologies/gensim,https://github.com/RaRe-Technologies/gensim,LGPL-2.1,2011-02-10 07:43:04.000000,2021-04-15 00:43:24.000000,2021-04-13 04:59:10.000000,3950,358.0,1286.0,11948,4144.0,Topic Modelling for Humans.,392.0,36,True,2021-04-01 14:19:26.000000,4.0.1,85.0,gensim,conda-forge/gensim,,,,27154.0,22412.0,https://pypi.org/project/gensim,2021-03-25 13:43:34.000000,4742.0,9463829.0,9478564.0,https://anaconda.org/conda-forge/gensim,2021-04-02 10:56:03.560000,631484.0,,,,,1.0,3304.0,,,,,,,,,,,,,,,,,,,,,\n21,Plotly,plotly/plotly.py,,data-viz,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000000,2021-04-13 18:51:16.000000,2021-01-14 02:04:12.000000,1791,865.0,1066.0,9308,4923.0,The interactive graphing library for Python (includes Plotly Express).,162.0,36,True,2021-01-12 17:01:21.000000,4.14.3,265.0,plotly,conda-forge/plotly,,,,4991.0,5.0,https://pypi.org/project/plotly,2021-01-12 16:12:40.000000,4982.0,5294007.0,5520640.0,https://anaconda.org/conda-forge/plotly,2021-01-12 17:11:42.117000,1314066.0,,,,,1.0,,,,plotlywidget,https://www.npmjs.com/package/plotlywidget,2021-01-12 16:09:46.133000,4.0,203168.0,,,,,,,,,,,,,,\n22,torchvision,pytorch/vision,,image,https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000000,2021-04-15 13:46:23.000000,2021-04-14 15:27:03.000000,4520,442.0,1215.0,8841,1619.0,\"Datasets, Transforms and Models specific to Computer Vision.\",377.0,36,True,2021-03-25 17:51:25.000000,0.9.1,23.0,torchvision,conda-forge/torchvision,,,['pytorch'],51412.0,46800.0,https://pypi.org/project/torchvision,2021-03-25 16:28:06.000000,4612.0,1355709.0,1356933.0,https://anaconda.org/conda-forge/torchvision,2021-03-16 19:13:13.221000,48998.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n23,Arrow,apache/arrow,,data-containers,https://github.com/apache/arrow,https://github.com/apache/arrow,Apache-2.0,2016-02-17 08:00:23.000000,2021-04-15 14:52:12.000000,2021-04-15 14:19:16.000000,1851,143.0,584.0,7733,9033.0,Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-..,666.0,36,True,2021-01-26 01:05:45.000000,3.0.0,30.0,pyarrow,conda-forge/arrow,,,,1024.0,38.0,https://pypi.org/project/pyarrow,2021-01-26 01:05:45.000000,986.0,24195239.0,24204262.0,https://anaconda.org/conda-forge/arrow,2021-03-07 23:47:25.555000,532359.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n24,Tensorboard,tensorflow/tensorboard,,ml-experiments,https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000000,2021-04-15 11:25:00.000000,2021-04-15 04:19:33.000000,1379,550.0,956.0,5253,4419.0,TensorFlow's Visualization Toolkit.,255.0,36,True,2021-01-14 20:49:19.000000,2.4.1,36.0,tensorboard,conda-forge/tensorboard,,,['tensorflow'],63904.0,60290.0,https://pypi.org/project/tensorboard,2021-01-14 20:49:19.000000,3614.0,8761123.0,8806794.0,https://anaconda.org/conda-forge/tensorboard,2021-01-15 08:30:57.960000,1872520.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n25,joblib,joblib/joblib,,data-pipelines,https://github.com/joblib/joblib,https://github.com/joblib/joblib,BSD-3-Clause,2010-05-07 06:48:26.000000,2021-04-09 10:22:50.000000,2021-04-02 12:08:27.000000,286,291.0,358.0,2403,1370.0,Computing with Python functions.,99.0,36,True,2021-02-09 16:46:29.000000,1.0.1,100.0,joblib,conda-forge/joblib,,,,100509.0,93899.0,https://pypi.org/project/joblib,2021-02-09 16:46:29.000000,6610.0,29559767.0,29625905.0,https://anaconda.org/conda-forge/joblib,2021-02-09 19:26:28.194000,3769898.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n26,h5py,h5py/h5py,,data-containers,https://github.com/h5py/h5py,https://github.com/h5py/h5py,BSD-3-Clause,2012-09-21 00:40:02.000000,2021-04-13 19:54:17.000000,2021-04-12 12:33:59.000000,399,217.0,975.0,1506,3618.0,HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.,162.0,36,True,2021-03-05 10:04:46.000000,3.2.1,27.0,h5py,conda-forge/h5py,,,,132991.0,110055.0,https://pypi.org/project/h5py,2021-03-05 10:24:13.000000,22936.0,8804419.0,8885883.0,https://anaconda.org/conda-forge/h5py,2021-04-06 20:25:04.795000,4968200.0,,,,,1.0,977.0,,,,,,,,,,,,,,,,,,,,,\n27,Keras,keras-team/keras,,ml-frameworks,https://github.com/keras-team/keras,https://github.com/keras-team/keras,MIT,2015-03-28 00:35:42.000000,2021-04-14 06:08:14.000000,2021-04-14 06:08:05.000000,18737,3242.0,7247.0,51039,5469.0,Deep Learning for humans.,905.0,35,True,2020-06-24 22:40:48.000000,2.4.3,53.0,keras,conda-forge/keras,,https://keras.io,['tensorflow'],14996.0,,https://pypi.org/project/keras,2020-06-24 22:40:48.000000,14996.0,2977830.0,3006055.0,https://anaconda.org/conda-forge/keras,2020-06-25 19:13:34.254000,1580603.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n28,OpenAI Gym,openai/gym,,reinforcement-learning,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16.000000,2021-04-15 10:44:35.000000,2021-04-06 15:18:55.000000,6822,284.0,1068.0,23946,1244.0,A toolkit for developing and comparing reinforcement learning algorithms.,275.0,35,True,2020-12-19 00:29:36.000000,0.18.0,92.0,gym,,,,,22912.0,19350.0,https://pypi.org/project/gym,2020-12-19 00:29:36.000000,3562.0,397798.0,397798.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n29,networkx,networkx/networkx,,graph,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44.000000,2021-04-15 11:42:14.000000,2021-04-12 19:19:06.000000,2286,286.0,2332.0,8932,,Network Analysis in Python.,506.0,35,True,2021-04-03 22:22:02.000000,2.5.1,53.0,networkx,conda-forge/networkx,,,,92480.0,71662.0,https://pypi.org/project/networkx,2021-04-03 22:22:02.000000,20818.0,12045445.0,12108406.0,https://anaconda.org/conda-forge/networkx,2021-04-04 01:32:23.917000,3399897.0,,,,,1.0,51.0,,,,,,,,,,,,,,,,,,,,,\n30,SymPy,sympy/sympy,,others,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000000,2021-04-15 13:05:54.000000,2021-04-15 12:44:03.000000,3371,4150.0,7247.0,8000,46582.0,A computer algebra system written in pure Python.,1050.0,35,True,2021-04-09 22:38:24.000000,sympy-1.8,37.0,sympy,conda-forge/sympy,,,,37132.0,30710.0,https://pypi.org/project/sympy,2021-04-09 22:41:01.000000,6422.0,936153.0,964452.0,https://anaconda.org/conda-forge/sympy,2021-04-10 01:00:41.286000,1402561.0,,,,,1.0,421014.0,-1.0,,,,,,,,,,,,,,,,,,,,\n31,MXNet,apache/incubator-mxnet,,ml-frameworks,https://github.com/apache/incubator-mxnet,https://github.com/apache/incubator-mxnet,Apache-2.0,2015-04-30 16:21:15.000000,2021-04-15 13:15:21.000000,2021-04-15 13:15:20.000000,6819,1871.0,7597.0,19400,11570.0,\"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..\",956.0,34,True,2021-03-21 14:56:00.000000,1.8.0,980.0,mxnet,mxnet,,,['mxnet'],2392.0,1948.0,https://pypi.org/project/mxnet,2021-03-31 20:05:38.000000,444.0,250194.0,250745.0,https://anaconda.org/anaconda/mxnet,2020-02-29 00:58:31.007000,6028.0,,,,,2.0,23716.0,,,,,,,,0.0,,,,,,,,,,,,,\n32,PyFlink,apache/flink,,ml-frameworks,https://github.com/apache/flink,https://github.com/apache/flink,Apache-2.0,2014-06-07 07:00:10.000000,2021-04-15 13:45:40.000000,2021-04-15 13:01:09.000000,8655,499.0,,16006,26586.0,Apache Flink Python API.,1237.0,34,True,2021-01-15 01:51:44.000000,1.12.1,13.0,apache-flink,,,,,274.0,274.0,https://pypi.org/project/apache-flink,2021-01-15 01:51:44.000000,0.0,9008.0,9008.0,,,,,,,,2.0,,1.0,,,,,,,,,,,,,,,,,,,,\n33,luigi,spotify/luigi,,data-pipelines,https://github.com/spotify/luigi,https://github.com/spotify/luigi,Apache-2.0,2012-09-20 15:06:38.000000,2021-04-15 13:15:47.000000,2021-04-15 11:11:11.000000,2239,75.0,842.0,14433,3992.0,\"Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution,..\",556.0,34,True,2021-04-15 11:39:33.000000,3.0.3,72.0,luigi,luigi,,,,2062.0,1386.0,https://pypi.org/project/luigi,2020-09-23 11:57:12.000000,676.0,886929.0,887039.0,https://anaconda.org/anaconda/luigi,2021-02-20 16:21:48.759000,6868.0,,,,,1.0,,,stable/luigi,,,,,,0.0,,,,,,,,,,,,,\n34,dash,plotly/dash,,data-viz,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000000,2021-04-10 06:31:33.446000,2021-04-08 21:29:36.000000,1453,418.0,568.0,14326,3544.0,\"Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.\",74.0,34,True,2021-04-08 22:35:48.000000,1.20.0,137.0,dash,conda-forge/dash,,,,20911.0,19303.0,https://pypi.org/project/dash,2021-01-19 23:50:28.000000,1608.0,433173.0,440010.0,https://anaconda.org/conda-forge/dash,2021-04-10 06:31:33.446000,239316.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n35,shap,slundberg/shap,,interpretability,https://github.com/slundberg/shap,https://github.com/slundberg/shap,MIT,2016-11-22 19:17:08.000000,2021-04-10 16:25:40.000000,2021-04-06 00:10:26.000000,1792,1009.0,515.0,12339,1927.0,A game theoretic approach to explain the output of any machine learning model.,156.0,34,True,2021-03-03 18:38:33.000000,0.39.0,93.0,shap,conda-forge/shap,,,,2467.0,2331.0,https://pypi.org/project/shap,2021-01-15 21:02:34.000000,136.0,2702820.0,2716618.0,https://anaconda.org/conda-forge/shap,2020-12-16 19:26:39.477000,441553.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n36,onnx,onnx/onnx,,model-serialisation,https://github.com/onnx/onnx,https://github.com/onnx/onnx,Apache-2.0,2017-09-07 04:53:45.000000,2021-04-15 15:04:05.000000,2021-04-09 18:15:11.000000,1881,546.0,994.0,10062,1720.0,Open standard for machine learning interoperability.,195.0,34,True,2021-01-30 01:25:24.000000,1.8.1,20.0,onnx,conda-forge/onnx,,,,3160.0,2864.0,https://pypi.org/project/onnx,2021-01-29 23:57:20.000000,296.0,1892774.0,1898340.0,https://anaconda.org/conda-forge/onnx,2021-03-22 08:13:24.059000,217037.0,,,,,1.0,11467.0,,,,,,,,,,,,,,,,,,,,,\n37,nltk,nltk/nltk,,nlp,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58.000000,2021-04-15 03:47:10.000000,2021-04-15 03:47:10.000000,2459,236.0,1241.0,9791,,Suite of libraries and programs for symbolic and statistical natural language processing for English.,393.0,34,True,2019-08-20 10:55:21.000000,3.4.5,40.0,nltk,conda-forge/nltk,,,,116957.0,95965.0,https://pypi.org/project/nltk,2021-04-07 10:49:59.000000,20992.0,13485252.0,13497103.0,https://anaconda.org/conda-forge/nltk,2021-04-08 01:17:00.023000,663674.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n38,Theano,Theano/Theano,,ml-frameworks,https://github.com/Theano/Theano,https://github.com/Theano/Theano,BSD-3-Clause,2011-08-10 03:48:06.000000,2021-04-13 19:05:58.000000,2021-04-13 19:05:58.000000,2517,673.0,2083.0,9393,28126.0,\"Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-..\",384.0,34,True,2020-07-27 16:13:54.000000,1.0.5,45.0,theano,conda-forge/theano,,,,16137.0,10663.0,https://pypi.org/project/theano,2020-07-27 16:13:54.000000,5474.0,273721.0,299102.0,https://anaconda.org/conda-forge/theano,2021-01-21 21:14:21.756000,1446772.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n39,dask,dask/dask,,distributed-ml,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000000,2021-04-15 00:55:35.000000,2021-04-15 00:55:35.000000,1257,736.0,2980.0,8215,,Parallel computing with task scheduling.,443.0,34,True,2021-04-02 16:16:30.000000,2021.4.0,115.0,dask,conda-forge/dask,,,,30578.0,26662.0,https://pypi.org/project/dask,2021-04-02 16:16:30.000000,3916.0,3763478.0,3818478.0,https://anaconda.org/conda-forge/dask,2021-04-02 22:33:17.507000,3245057.0,,,,,1.0,,,stable/dask,,,,,,,,,,,,,,,,,,,\n40,rq,rq/rq,,data-pipelines,https://github.com/rq/rq,https://github.com/rq/rq,BSD-3-Clause,2011-11-14 10:53:48.000000,2021-04-06 11:33:54.000000,2021-04-01 06:23:18.000000,1214,144.0,692.0,7635,1558.0,Simple job queues for Python.,230.0,34,True,2020-11-29 09:48:18.000000,1.7.0,63.0,rq,conda-forge/rq,,,,11052.0,7728.0,https://pypi.org/project/rq,2020-11-29 09:47:08.000000,3324.0,504989.0,505854.0,https://anaconda.org/conda-forge/rq,2021-03-31 04:46:34.734000,49311.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n41,scikit-image,scikit-image/scikit-image,,image,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,BSD-2-Clause,2011-07-07 22:07:20.000000,2021-04-15 09:40:38.000000,2021-04-15 09:40:38.000000,1776,674.0,1518.0,4284,,Image processing in Python.,485.0,34,True,2021-01-19 08:17:34.000000,0.18.1,35.0,scikit-image,conda-forge/scikit-image,,,,80393.0,65619.0,https://pypi.org/project/scikit-image,2020-12-23 06:36:46.000000,14774.0,4372395.0,4412477.0,https://anaconda.org/conda-forge/scikit-image,2021-01-21 20:53:16.554000,2364842.0,,,,,1.0,,1.0,,,,,,,,,,,,,,,,,,,,\n42,TensorFlow Datasets,tensorflow/datasets,,data-loading,https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000000,2021-04-15 13:57:56.000000,2021-04-15 13:47:33.000000,995,438.0,557.0,2770,3907.0,\"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...\",200.0,34,True,2021-01-07 09:50:58.000000,4.2.0,21.0,tensorflow-datasets,,,,['tensorflow'],4371.0,4269.0,https://pypi.org/project/tensorflow-datasets,2021-01-07 09:50:58.000000,102.0,5183733.0,5183733.0,,,,,,,,1.0,,1.0,,,,,,,,,,,,,,,,,,,,\n43,Shapely,Toblerity/Shapely,,geospatial-data,https://github.com/Toblerity/Shapely,https://github.com/Toblerity/Shapely,BSD-3-Clause,2011-12-31 19:43:11.000000,2021-04-14 02:40:33.000000,2021-04-14 02:40:33.000000,397,124.0,611.0,2221,1511.0,Manipulation and analysis of geometric objects.,114.0,34,True,2020-12-15 18:27:01.000000,1.7.1,100.0,shapely,conda-forge/shapely,,,,23272.0,17814.0,https://pypi.org/project/shapely,2021-03-04 00:27:13.000000,5458.0,3988492.0,4022594.0,https://anaconda.org/conda-forge/shapely,2021-03-05 11:50:12.482000,2250785.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n44,Ray,ray-project/ray,,distributed-ml,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000000,2021-04-15 14:23:46.000000,2021-04-15 14:11:34.000000,2514,1466.0,5065.0,15598,7832.0,\"An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged..\",468.0,33,True,2021-02-13 01:42:06.000000,ray-1.2.0,44.0,ray,,,,,2061.0,1901.0,https://pypi.org/project/ray,2021-02-13 01:38:33.000000,160.0,475033.0,475033.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n45,Bokeh,bokeh/bokeh,,data-viz,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000000,2021-04-14 14:35:35.000000,2021-04-13 18:44:27.000000,3689,668.0,5852.0,14981,,\"Interactive Data Visualization in the browser, from Python.\",557.0,33,True,2021-02-24 19:44:29.000000,2.3.0,93.0,bokeh,conda-forge/bokeh,,,,38292.0,32420.0,https://pypi.org/project/bokeh,2021-04-06 23:56:28.000000,5872.0,1451428.0,1538834.0,https://anaconda.org/conda-forge/bokeh,2021-04-08 12:17:48.640000,4195535.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n46,pytorch-lightning,PyTorchLightning/pytorch-lightning,,ml-frameworks,https://github.com/PyTorchLightning/pytorch-lightning,https://github.com/PyTorchLightning/pytorch-lightning,Apache-2.0,2019-03-31 00:45:57.000000,2021-04-15 13:54:54.000000,2021-04-15 07:36:04.000000,1525,316.0,2890.0,13025,4710.0,\"The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.\",432.0,33,True,2021-04-14 20:08:12.000000,1.2.8,163.0,pytorch-lightning,conda-forge/pytorch-lightning,,,['pytorch'],2567.0,2553.0,https://pypi.org/project/pytorch-lightning,2021-04-14 20:08:12.000000,14.0,311470.0,321932.0,https://anaconda.org/conda-forge/pytorch-lightning,2021-04-14 23:09:56.901000,104489.0,,,,,2.0,314.0,,,,,,,,,,,,,,,,,,,,,\n47,mlflow,mlflow/mlflow,,ml-experiments,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000000,2021-04-15 14:53:38.000000,2021-04-15 11:07:36.000000,1952,751.0,1063.0,8886,1952.0,Open source platform for the machine learning lifecycle.,285.0,33,True,2021-03-26 20:13:29.000000,1.15.0,43.0,mlflow,conda-forge/mlflow,,,,154.0,,https://pypi.org/project/mlflow,2021-03-26 19:41:04.000000,154.0,4835659.0,4847203.0,https://anaconda.org/conda-forge/mlflow,2021-03-30 16:27:28.350000,277060.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n48,pydeck,visgl/deck.gl,,geospatial-data,https://github.com/visgl/deck.gl,https://github.com/visgl/deck.gl,MIT,2015-12-15 08:38:29.000000,2021-04-13 20:41:22.066000,2021-04-13 02:37:44.000000,1534,84.0,2015.0,8589,3601.0,WebGL2 powered geospatial visualization layers.,157.0,33,True,2021-04-13 02:26:45.000000,0.6.2,463.0,pydeck,conda-forge/pydeck,,,['jupyter'],2082.0,1520.0,https://pypi.org/project/pydeck,2021-04-13 02:26:45.000000,2.0,213141.0,428710.0,https://anaconda.org/conda-forge/pydeck,2021-04-13 20:41:22.066000,24694.0,,,,,1.0,,,,deck.gl,https://www.npmjs.com/package/deck.gl,2021-03-22 21:45:34.518000,560.0,213806.0,,,,,,,,,,,,,,\n49,StatsModels,statsmodels/statsmodels,,ml-frameworks,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000000,2021-04-14 11:28:41.000000,2021-04-14 11:28:41.000000,2202,2088.0,2308.0,6223,,Statsmodels: statistical modeling and econometrics in Python.,310.0,33,True,2021-02-02 11:08:49.000000,0.12.2,25.0,statsmodels,conda-forge/statsmodels,,,,47113.0,40457.0,https://pypi.org/project/statsmodels,2021-02-02 11:08:49.000000,6656.0,4150663.0,4216007.0,https://anaconda.org/conda-forge/statsmodels,2021-02-15 17:38:00.380000,3789990.0,,,,,2.0,25.0,,,,,,,,,,,,,,,,,,,,,\n50,geopy,geopy/geopy,,geospatial-data,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000000,2021-04-10 20:53:49.000000,2021-04-10 19:57:15.000000,535,25.0,222.0,3284,1058.0,Geocoding library for Python.,122.0,33,True,2020-12-27 13:15:23.000000,2.1.0,57.0,geopy,conda-forge/geopy,,,,26276.0,19032.0,https://pypi.org/project/geopy,2020-12-27 13:12:21.000000,7244.0,5802191.0,5810930.0,https://anaconda.org/conda-forge/geopy,2020-12-27 14:22:55.127000,533082.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n51,xarray,pydata/xarray,,data-containers,https://github.com/pydata/xarray,https://github.com/pydata/xarray,Apache-2.0,2013-09-30 17:21:10.000000,2021-04-15 12:11:34.000000,2021-04-15 12:11:34.000000,654,818.0,1981.0,2000,3609.0,N-D labeled arrays and datasets in Python.,310.0,33,True,2021-02-26 06:45:07.000000,0.17.0,56.0,xarray,conda-forge/xarray,,,,6921.0,5789.0,https://pypi.org/project/xarray,2021-02-26 06:36:47.000000,1132.0,524332.0,568384.0,https://anaconda.org/conda-forge/xarray,2021-02-26 13:38:06.610000,2687178.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n52,xlrd,python-excel/xlrd,,data-loading,https://github.com/python-excel/xlrd,https://github.com/python-excel/xlrd,BSD-3-Clause,2012-03-07 04:50:48.000000,2021-01-09 20:35:27.639000,2020-12-12 15:24:25.000000,414,3.0,,1879,502.0,Please use openpyxl where you can...,50.0,33,True,2020-12-11 10:14:20.000000,2.0.1,24.0,xlrd,conda-forge/xlrd,,,,82328.0,68754.0,https://pypi.org/project/xlrd,2020-12-11 10:14:20.000000,13574.0,9395669.0,9422721.0,https://anaconda.org/conda-forge/xlrd,2021-01-09 20:35:27.639000,1325573.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n53,Fastai,fastai/fastai,,ml-frameworks,https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000000,2021-04-15 06:47:19.000000,2021-04-09 03:42:51.000000,6982,92.0,1341.0,20735,1715.0,The fastai deep learning library.,472.0,32,True,2021-03-31 06:04:10.000000,2.3.0,118.0,fastai,,,,['pytorch'],368.0,,https://pypi.org/project/fastai,2021-02-22 04:01:38.000000,368.0,212642.0,212642.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n54,jax,google/jax,,ml-frameworks,https://github.com/google/jax,https://github.com/google/jax,Apache-2.0,2018-10-25 21:25:02.000000,2021-04-15 14:04:02.000000,2021-04-15 13:56:15.000000,1095,782.0,1546.0,12367,7663.0,\"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.\",275.0,32,True,2021-04-01 17:46:34.000000,0.2.12,91.0,jax,conda-forge/jaxlib,,,,1451.0,1405.0,https://pypi.org/project/jax,2021-04-01 17:46:34.000000,46.0,178287.0,183217.0,https://anaconda.org/conda-forge/jaxlib,2021-04-08 04:28:56.615000,103532.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n55,tensor2tensor,tensorflow/tensor2tensor,,tensorflow-utils,https://github.com/tensorflow/tensor2tensor,https://github.com/tensorflow/tensor2tensor,Apache-2.0,2017-06-15 16:57:39.000000,2021-04-12 06:43:52.000000,2021-03-05 08:15:30.000000,2848,556.0,664.0,11156,4348.0,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,231.0,32,True,2020-06-17 16:15:36.000000,1.15.7,79.0,tensor2tensor,,,,['tensorflow'],1116.0,952.0,https://pypi.org/project/tensor2tensor,2020-06-17 16:15:36.000000,164.0,60034.0,60034.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n56,imgaug,aleju/imgaug,,image,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33.000000,2021-04-15 01:52:46.000000,2020-06-01 14:58:26.000000,2017,226.0,211.0,10971,2913.0,Image augmentation for machine learning experiments.,36.0,32,True,2020-02-06 06:18:40.000000,0.4.0,11.0,imgaug,conda-forge/imgaug,,,,6484.0,5928.0,https://pypi.org/project/imgaug,2020-02-05 20:54:22.000000,556.0,243348.0,245068.0,https://anaconda.org/conda-forge/imgaug,2020-02-14 16:06:53.525000,37853.0,,,,,1.0,,1.0,,,,,,,,,,,,,,,,,,,,\n57,dlib,davisking/dlib,,ml-frameworks,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000000,2021-04-14 10:51:49.000000,2021-04-14 10:51:49.000000,2903,58.0,1844.0,10066,7930.0,A toolkit for making real world machine learning and data analysis applications in C++.,165.0,32,False,2021-03-28 13:36:18.000000,19.22,28.0,dlib,conda-forge/dlib,,,,10557.0,9199.0,https://pypi.org/project/dlib,2020-12-04 19:23:04.000000,1358.0,115858.0,121590.0,https://anaconda.org/conda-forge/dlib,2021-04-03 09:47:47.788000,296113.0,,,,,2.0,24493.0,,,,,,,,,,,,,,,,,,,,,\n58,AllenNLP,allenai/allennlp,,nlp,https://github.com/allenai/allennlp,https://github.com/allenai/allennlp,Apache-2.0,2017-05-15 15:52:41.000000,2021-04-15 06:20:32.000000,2021-04-15 00:30:01.000000,2032,109.0,2220.0,9924,2357.0,\"An open-source NLP research library, built on PyTorch.\",238.0,32,True,2021-04-14 22:50:34.000000,2.3.0,188.0,allennlp,,,,['pytorch'],1810.0,1576.0,https://pypi.org/project/allennlp,2021-04-14 23:01:45.000000,234.0,40894.0,40894.0,,,,,,,,1.0,37.0,,,,,,,,,,,,,,,,,,,,,\n59,PyMC3,pymc-devs/pymc3,,probabilistics,https://github.com/pymc-devs/pymc3,https://github.com/pymc-devs/pymc3,Apache-2.0,2009-05-05 09:43:50.000000,2021-04-14 14:25:56.000000,2021-04-05 13:26:07.000000,1371,193.0,2035.0,5686,7691.0,Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara.,312.0,32,True,2021-03-14 22:31:10.000000,3.11.2,33.0,pymc3,conda-forge/pymc3,,,,2585.0,2299.0,https://pypi.org/project/pymc3,2021-03-14 22:31:10.000000,286.0,216315.0,221289.0,https://anaconda.org/conda-forge/pymc3,2021-03-15 13:12:28.868000,268573.0,,,,,1.0,151.0,,,,,,,,,,,,,,,,,,,,,\n60,folium,python-visualization/folium,,geospatial-data,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000000,2021-03-17 20:18:35.000000,2021-03-09 08:53:19.000000,1944,159.0,695.0,5223,1474.0,Python Data. Leaflet.js Maps.,121.0,32,True,2021-01-18 17:29:40.000000,0.12.1,25.0,folium,conda-forge/folium,,,,10387.0,9419.0,https://pypi.org/project/folium,2021-01-18 17:29:40.000000,968.0,435081.0,440809.0,https://anaconda.org/conda-forge/folium,2021-03-12 17:41:57.124000,349458.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n61,CuPy,cupy/cupy,,gpu-utilities,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000000,2021-04-15 12:05:32.649447,2021-04-15 11:58:27.000000,455,342.0,1006.0,4990,21591.0,A NumPy-compatible array library accelerated by CUDA.,260.0,32,True,2021-03-25 06:50:48.000000,8.6.0,90.0,cupy,conda-forge/cupy,cupy/cupy,,,902.0,710.0,https://pypi.org/project/cupy,2021-03-25 03:02:42.000000,192.0,88328.0,117711.0,https://anaconda.org/conda-forge/cupy,2021-04-01 13:48:44.506000,507616.0,https://hub.docker.com/r/cupy/cupy,2021-04-15 12:05:32.649447,6.0,49566.0,1.0,12438.0,,,,,,,,,,,,,,,,,,,,,\n62,Beam,apache/beam,,data-pipelines,https://github.com/apache/beam,https://github.com/apache/beam,Apache-2.0,2016-02-02 08:00:06.000000,2021-04-15 14:46:28.000000,2021-04-15 14:46:28.000000,2958,153.0,,4726,31591.0,\"Unified programming model to define and execute data processing pipelines, including ETL, batch and stream processing.\",1042.0,32,True,2021-02-22 21:19:14.000000,2.28.0,30.0,apache-beam,,,,,186.0,,https://pypi.org/project/apache-beam,2021-01-08 20:08:17.000000,186.0,2244279.0,2244279.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n63,xmltodict,martinblech/xmltodict,,data-loading,https://github.com/martinblech/xmltodict,https://github.com/martinblech/xmltodict,MIT,2012-04-17 14:38:21.000000,2021-02-08 17:46:25.000000,2020-04-26 05:15:03.000000,420,70.0,136.0,4347,205.0,Python module that makes working with XML feel like you are working with JSON.,41.0,32,True,2019-02-11 07:00:26.000000,0.12.0,27.0,xmltodict,conda-forge/xmltodict,,,,31878.0,23644.0,https://pypi.org/project/xmltodict,2019-02-11 07:00:26.000000,8234.0,8432403.0,8446829.0,https://anaconda.org/conda-forge/xmltodict,2019-02-11 11:53:14.803000,807890.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n64,Tablib,jazzband/tablib,,data-loading,https://github.com/jazzband/tablib,https://github.com/jazzband/tablib,MIT,2011-03-28 02:36:50.000000,2021-03-01 12:38:44.000000,2021-03-01 12:38:44.000000,565,33.0,198.0,3894,1124.0,\"Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c.\",111.0,32,True,2020-12-05 14:56:28.000000,3.0.0,38.0,tablib,conda-forge/tablib,,,,12294.0,9936.0,https://pypi.org/project/tablib,2020-12-05 14:56:28.000000,2358.0,1074518.0,1075654.0,https://anaconda.org/conda-forge/tablib,2020-12-05 16:40:48.469000,60254.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n65,tensorflow-probability,tensorflow/probability,,probabilistics,https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000000,2021-04-15 14:23:30.000000,2021-04-15 14:23:26.000000,875,439.0,565.0,3277,10453.0,Probabilistic reasoning and statistical analysis in TensorFlow.,408.0,32,True,2020-12-29 18:40:25.000000,0.12.1,35.0,tensorflow-probability,conda-forge/tensorflow-probability,,,['tensorflow'],253.0,1.0,https://pypi.org/project/tensorflow-probability,2020-12-29 17:46:08.000000,252.0,576114.0,577409.0,https://anaconda.org/conda-forge/tensorflow-probability,2021-02-10 20:08:40.633000,33674.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n66,tensorflow-hub,tensorflow/hub,,tensorflow-utils,https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42.000000,2021-04-14 13:17:26.000000,2021-04-14 12:03:04.000000,1496,34.0,537.0,2781,874.0,A library for transfer learning by reusing parts of TensorFlow models.,69.0,32,True,2021-04-14 13:17:26.000000,0.12.0,15.0,tensorflow-hub,conda-forge/tensorflow-hub,,,['tensorflow'],6434.0,6120.0,https://pypi.org/project/tensorflow-hub,2021-04-14 12:54:13.000000,314.0,1551824.0,1553337.0,https://anaconda.org/conda-forge/tensorflow-hub,2020-08-24 16:43:36.561000,51451.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n67,GeoPandas,geopandas/geopandas,,geospatial-data,https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000000,2021-04-15 07:17:26.000000,2021-04-15 07:17:25.000000,560,302.0,723.0,2565,1376.0,Python tools for geographic data.,136.0,32,True,2021-02-28 21:10:46.000000,0.9.0,37.0,geopandas,conda-forge/geopandas,,,['pandas'],9125.0,7959.0,https://pypi.org/project/geopandas,2021-02-28 21:10:43.000000,1166.0,1013330.0,1028741.0,https://anaconda.org/conda-forge/geopandas,2021-03-01 09:07:56.799000,939094.0,,,,,2.0,974.0,,,,,,,,,,,,,,,,,,,,,\n68,Thinc,explosion/thinc,,ml-frameworks,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59.000000,2021-04-15 11:30:53.000000,2021-03-09 12:00:12.000000,205,14.0,90.0,2254,4913.0,\"A refreshing functional take on deep learning, compatible with your favorite libraries.\",36.0,32,True,2021-03-09 14:57:52.000000,8.0.2,189.0,thinc,conda-forge/thinc,,,,13571.0,12433.0,https://pypi.org/project/thinc,2021-03-09 12:42:58.000000,1138.0,1889078.0,1910468.0,https://anaconda.org/conda-forge/thinc,2021-03-11 09:08:45.723000,1069512.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n69,python-magic,ahupp/python-magic,,data-loading,https://github.com/ahupp/python-magic,https://github.com/ahupp/python-magic,MIT,2010-03-31 22:40:33.000000,2021-03-05 04:33:25.716000,2021-02-17 04:01:28.000000,218,28.0,132.0,1870,279.0,A python wrapper for libmagic.,49.0,32,True,2021-02-17 06:19:13.000000,0.4.22,22.0,python-magic,conda-forge/python-magic,,,,18388.0,13256.0,https://pypi.org/project/python-magic,2021-02-17 06:19:13.000000,5132.0,2597317.0,2599075.0,https://anaconda.org/conda-forge/python-magic,2021-03-05 04:33:25.716000,84400.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n70,Rasterio,mapbox/rasterio,,geospatial-data,https://github.com/mapbox/rasterio,https://github.com/mapbox/rasterio,BSD-3-Clause,2013-11-04 16:36:27.000000,2021-04-13 19:52:46.000000,2021-04-12 18:47:35.000000,399,139.0,1235.0,1473,3300.0,Rasterio reads and writes geospatial raster datasets.,107.0,32,True,2021-04-07 12:41:17.000000,1.2.2,123.0,rasterio,conda-forge/rasterio,,,,3862.0,3012.0,https://pypi.org/project/rasterio,2021-04-07 12:41:17.000000,850.0,448544.0,464668.0,https://anaconda.org/conda-forge/rasterio,2021-04-07 07:47:55.368000,982958.0,,,,,2.0,705.0,,,,,,,,,,,,,,,,,,,,,\n71,TF Addons,tensorflow/addons,,tensorflow-utils,https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17.000000,2021-04-14 20:03:38.000000,2021-04-09 20:23:52.000000,421,172.0,644.0,1256,1350.0,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,155.0,32,True,2021-01-30 13:59:33.000000,0.12.1,25.0,tensorflow-addons,,,,['tensorflow'],2735.0,2717.0,https://pypi.org/project/tensorflow-addons,2021-01-30 13:59:33.000000,18.0,835323.0,835323.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n72,imageio,imageio/imageio,,image,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000000,2021-04-15 07:57:15.000000,2021-04-07 11:44:00.000000,176,70.0,282.0,859,1145.0,Python library for reading and writing image data.,76.0,32,True,2020-07-10 07:45:22.000000,2.9.0,31.0,imageio,conda-forge/imageio,,,,43320.0,39482.0,https://pypi.org/project/imageio,2020-07-06 13:20:41.000000,3838.0,4604151.0,4640718.0,https://anaconda.org/conda-forge/imageio,2020-07-06 14:13:25.518000,1864934.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n73,PaddlePaddle,PaddlePaddle/Paddle,,ml-frameworks,https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000000,2021-04-15 13:27:07.000000,2021-04-15 11:12:42.000000,3652,2504.0,10664.0,14846,15069.0,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,523.0,31,True,2021-03-15 02:29:29.000000,2.0.1,43.0,paddlepaddle,,,,['paddle'],52.0,36.0,https://pypi.org/project/paddlepaddle,2021-03-05 07:28:12.000000,16.0,13877.0,14149.0,,,,,,,,2.0,15273.0,,,,,,,,,,,,,,,,,,,,,\n74,fairseq,pytorch/fairseq,,nlp,https://github.com/pytorch/fairseq,https://github.com/pytorch/fairseq,MIT,2017-08-29 16:26:12.000000,2021-04-15 04:54:15.000000,2021-04-15 04:54:08.000000,3022,778.0,1879.0,11813,1859.0,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,318.0,31,True,2021-01-05 20:26:45.000000,0.10.2,13.0,fairseq,,,,['pytorch'],362.0,342.0,https://pypi.org/project/fairseq,2021-01-05 20:26:45.000000,20.0,23072.0,23075.0,,,,,,,,1.0,112.0,,,,,,,,,,,,,,,,,,,,,\n75,ChatterBot,gunthercox/ChatterBot,,nlp,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00.000000,2021-04-05 17:24:25.000000,2020-08-20 21:16:14.000000,3736,251.0,1231.0,11035,1847.0,\"ChatterBot is a machine learning, conversational dialog engine for creating chat bots.\",103.0,31,True,2020-08-22 18:42:43.000000,1.0.8,86.0,chatterbot,,,,,4002.0,3322.0,https://pypi.org/project/chatterbot,2020-08-22 18:40:36.000000,680.0,26448.0,26448.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n76,flair,flairNLP/flair,,nlp,https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,MIT,2018-06-11 11:04:18.000000,2021-04-15 13:53:58.000000,2021-04-07 13:34:53.000000,1538,104.0,1406.0,10224,3232.0,A very simple framework for state-of-the-art Natural Language Processing (NLP).,174.0,31,True,2021-03-05 11:57:03.000000,0.8,21.0,flair,,,,['pytorch'],746.0,698.0,https://pypi.org/project/flair,2021-03-08 23:08:40.000000,48.0,69327.0,69327.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n77,wordcloud,amueller/word_cloud,,data-viz,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59.000000,2021-03-21 10:56:17.000000,2021-03-01 23:14:14.000000,2026,97.0,349.0,8004,543.0,A little word cloud generator in Python.,61.0,31,True,2020-11-11 21:41:02.000000,1.8.1,16.0,wordcloud,conda-forge/wordcloud,,,,11234.0,10130.0,https://pypi.org/project/wordcloud,2020-11-11 21:41:02.000000,1104.0,419748.0,423391.0,https://anaconda.org/conda-forge/wordcloud,2021-01-14 18:03:24.960000,204022.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n78,DVC,iterative/dvc,,ml-experiments,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000000,2021-04-15 14:46:46.000000,2021-04-14 09:02:50.000000,727,557.0,2322.0,7725,6505.0,Data Version Control | Git for Data & Models.,216.0,31,True,2021-04-02 13:07:19.000000,2.0.17,315.0,dvc,conda-forge/dvc,,,,898.0,852.0,https://pypi.org/project/dvc,2021-04-01 18:42:52.000000,46.0,162196.0,192543.0,https://anaconda.org/conda-forge/dvc,2021-04-12 23:36:20.724000,591432.0,,,,,1.0,21848.0,,,,,,,,,dvc,dvc,dvc,,,,,,,,,,\n79,Altair,altair-viz/altair,,data-viz,https://github.com/altair-viz/altair,https://github.com/altair-viz/altair,BSD-3-Clause,2015-09-19 03:14:04.000000,2021-04-10 05:43:04.000000,2021-04-04 16:59:23.000000,580,292.0,1314.0,6571,3065.0,Declarative statistical visualization library for Python.,127.0,31,True,2020-04-01 13:29:16.000000,4.1.0,26.0,altair,conda-forge/altair,,,,10226.0,9856.0,https://pypi.org/project/altair,2020-04-01 13:23:10.000000,370.0,1171690.0,1183786.0,https://anaconda.org/conda-forge/altair,2020-04-01 16:49:36.519000,689518.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n80,Prefect,PrefectHQ/prefect,,data-pipelines,https://github.com/PrefectHQ/prefect,https://github.com/PrefectHQ/prefect,Apache-2.0,2018-06-29 21:59:26.000000,2021-04-15 15:04:10.000000,2021-04-14 22:07:54.000000,566,293.0,1399.0,6107,13789.0,The easiest way to automate your data.,198.0,31,True,2021-04-14 16:58:44.000000,0.14.16,93.0,prefect,conda-forge/prefect,,,,301.0,299.0,https://pypi.org/project/prefect,2021-04-14 16:58:44.000000,2.0,75772.0,79245.0,https://anaconda.org/conda-forge/prefect,2021-04-14 22:39:12.157000,86845.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n81,Catboost,catboost/catboost,,ml-frameworks,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000000,2021-04-15 13:25:14.000000,2021-04-15 13:25:11.000000,885,308.0,1113.0,5808,15689.0,\"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..\",771.0,31,True,2021-04-05 22:23:00.000000,0.25.1,93.0,catboost,conda-forge/catboost,,,,162.0,,https://pypi.org/project/catboost,2021-04-05 22:14:25.000000,162.0,2720923.0,2740530.0,https://anaconda.org/conda-forge/catboost,2021-04-12 10:39:53.915000,642645.0,,,,,2.0,53610.0,,,,,,,,,,,,,,,,,,,,,\n82,Chainer,chainer/chainer,,ml-frameworks,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37.000000,2021-02-17 11:20:21.000000,2021-02-17 11:20:21.000000,1374,18.0,2019.0,5557,30575.0,A flexible framework of neural networks for deep learning.,318.0,31,True,2021-01-13 10:14:54.000000,7.0.0.post1,109.0,chainer,,,,,2806.0,2064.0,https://pypi.org/project/chainer,2021-01-13 09:29:55.000000,742.0,26641.0,26641.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n83,Pydub,jiaaro/pydub,,audio,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38.000000,2021-04-12 01:12:58.000000,2021-04-05 14:36:09.000000,708,178.0,244.0,5267,738.0,Manipulate audio with a simple and easy high level interface.,89.0,31,True,2021-03-10 02:10:41.000000,0.25.1,68.0,pydub,conda-forge/pydub,,,,7992.0,6638.0,https://pypi.org/project/pydub,2021-03-10 02:09:53.000000,1354.0,572942.0,573450.0,https://anaconda.org/conda-forge/pydub,2021-03-13 05:16:50.142000,14225.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n84,imbalanced-learn,scikit-learn-contrib/imbalanced-learn,,sklearn-utils,https://github.com/scikit-learn-contrib/imbalanced-learn,https://github.com/scikit-learn-contrib/imbalanced-learn,MIT,2014-08-16 05:08:26.000000,2021-04-13 08:43:17.000000,2021-04-13 08:43:16.000000,1081,34.0,425.0,5166,737.0,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,56.0,31,True,2021-02-18 14:00:33.000000,0.8.0,27.0,imbalanced-learn,conda-forge/imbalanced-learn,,,['sklearn'],5159.0,4879.0,https://pypi.org/project/imbalanced-learn,2021-02-18 13:50:00.000000,280.0,1438053.0,1440949.0,https://anaconda.org/conda-forge/imbalanced-learn,2021-02-18 15:40:00.937000,121633.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n85,sentencepiece,google/sentencepiece,,nlp,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000000,2021-03-22 17:57:00.000000,2021-02-25 16:25:37.000000,657,33.0,402.0,4955,667.0,Unsupervised text tokenizer for Neural Network-based text generation.,50.0,31,True,2021-01-10 06:29:42.000000,0.1.95,30.0,sentencepiece,conda-forge/sentencepiece,,,,7139.0,6899.0,https://pypi.org/project/sentencepiece,2021-01-10 06:29:42.000000,240.0,2057567.0,2062854.0,https://anaconda.org/conda-forge/sentencepiece,2021-02-09 05:49:50.247000,44132.0,,,,,1.0,12293.0,,,,,,,,,,,,,,,,,,,,,\n86,Optuna,optuna/optuna,,hyperopt,https://github.com/optuna/optuna,https://github.com/optuna/optuna,MIT,2018-02-21 06:12:56.000000,2021-04-15 14:27:30.000000,2021-04-15 10:53:41.000000,491,188.0,602.0,4423,9765.0,A hyperparameter optimization framework.,132.0,31,True,2021-04-05 03:39:39.000000,2.7.0,37.0,optuna,conda-forge/optuna,,,,1221.0,1169.0,https://pypi.org/project/optuna,2021-04-05 03:39:39.000000,52.0,407679.0,409061.0,https://anaconda.org/conda-forge/optuna,2021-04-05 06:39:55.179000,23498.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n87,opencv-python,skvark/opencv-python,,image,https://github.com/opencv/opencv-python,https://github.com/opencv/opencv-python,MIT,2016-04-08 13:36:40.000000,2021-04-05 08:15:02.000000,2020-12-28 18:40:12.000000,346,22.0,386.0,1903,749.0,\"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..\",27.0,31,True,2021-01-03 17:36:16.000000,47,48.0,opencv-python,,,,,12560.0,,https://pypi.org/project/opencv-python,2021-01-03 17:07:49.000000,12560.0,4262461.0,4262461.0,,,,,,,,2.0,,,,,,,,,,,,,opencv/opencv-python,,,,,,,,,\n88,numexpr,pydata/numexpr,,data-containers,https://github.com/pydata/numexpr,https://github.com/pydata/numexpr,MIT,2013-11-30 22:33:48.000000,2021-03-05 20:56:41.232000,2021-03-03 18:33:11.000000,166,53.0,251.0,1571,686.0,\"Fast numerical array expression evaluator for Python, NumPy, PyTables, pandas, bcolz and more.\",57.0,31,True,2021-03-03 18:13:19.000000,2.7.3,40.0,numexpr,conda-forge/numexpr,,,,5482.0,,https://pypi.org/project/numexpr,2021-03-03 18:13:19.000000,5482.0,1211282.0,1254264.0,https://anaconda.org/conda-forge/numexpr,2021-03-05 20:56:41.232000,2407005.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n89,SageMaker SDK,aws/sagemaker-python-sdk,,ml-experiments,https://github.com/aws/sagemaker-python-sdk,https://github.com/aws/sagemaker-python-sdk,Apache-2.0,2017-11-14 01:03:33.000000,2021-04-14 19:03:36.000000,2021-04-14 19:03:05.000000,604,246.0,541.0,1360,1965.0,A library for training and deploying machine learning models on Amazon SageMaker.,194.0,31,True,2021-04-14 16:30:51.000000,2.35.0,327.0,sagemaker,,,,\"['mxnet', 'tensorflow']\",693.0,665.0,https://pypi.org/project/sagemaker,2021-04-14 16:30:57.000000,28.0,868832.0,868832.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n90,dask.distributed,dask/distributed,,distributed-ml,https://github.com/dask/distributed,https://github.com/dask/distributed,BSD-3-Clause,2015-09-13 18:42:29.000000,2021-04-15 13:47:18.000000,2021-04-15 02:36:01.000000,518,757.0,1330.0,1176,,A distributed task scheduler for Dask.,238.0,31,True,2021-03-26 20:20:28.000000,2021.3.1,146.0,distributed,conda-forge/distributed,,,,19397.0,17619.0,https://pypi.org/project/distributed,2021-04-02 16:23:04.000000,1778.0,2597550.0,2666838.0,https://anaconda.org/conda-forge/distributed,2021-04-02 23:57:57.574000,4088011.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n91,pyproj,pyproj4/pyproj,,geospatial-data,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000000,2021-04-11 01:35:49.000000,2021-04-11 01:34:02.000000,150,11.0,396.0,599,1141.0,Python interface to PROJ (cartographic projections and coordinate transformations library).,40.0,31,True,2021-03-05 03:06:15.000000,3.0.1,34.0,pyproj,conda-forge/pyproj,,,,11698.0,9236.0,https://pypi.org/project/pyproj,2020-11-05 14:28:45.000000,2462.0,2363037.0,2395910.0,https://anaconda.org/conda-forge/pyproj,2021-03-05 14:16:16.093000,2103913.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n92,snowballstemmer,snowballstem/snowball,,nlp,https://github.com/snowballstem/snowball,https://github.com/snowballstem/snowball,BSD-3-Clause,2013-02-23 07:17:42.000000,2021-04-11 21:24:01.000000,2021-04-11 21:24:01.000000,133,17.0,42.0,491,852.0,Snowball compiler and stemming algorithms.,26.0,31,True,2021-01-21 11:43:00.000000,2.1.0,9.0,snowballstemmer,conda-forge/snowballstemmer,,,,60607.0,47425.0,https://pypi.org/project/snowballstemmer,2021-01-21 11:43:00.000000,13182.0,5391436.0,5433961.0,https://anaconda.org/conda-forge/snowballstemmer,2021-01-21 23:16:54.597000,2381429.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n93,jieba,fxsjy/jieba,,chinese-nlp,https://github.com/fxsjy/jieba,https://github.com/fxsjy/jieba,MIT,2012-09-29 07:52:01.000000,2020-12-05 18:32:32.000000,2020-02-15 08:33:35.000000,6175,601.0,198.0,25995,523.0,Chinese Words Segmentation Utilities.,48.0,30,False,2020-01-20 14:27:23.000000,0.42.1,32.0,jieba,conda-forge/jieba,,,,12301.0,9785.0,https://pypi.org/project/jieba,2020-01-20 14:27:23.000000,2516.0,384636.0,386162.0,https://anaconda.org/conda-forge/jieba,2020-03-25 20:57:40.090000,73265.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n94,Magenta,magenta/magenta,,audio,https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40.000000,2021-03-30 17:25:43.000000,2021-03-30 17:25:32.000000,3402,303.0,549.0,16511,1386.0,Magenta: Music and Art Generation with Machine Intelligence.,148.0,30,True,2020-11-12 19:17:18.000000,2.1.3,66.0,magenta,,,,['tensorflow'],355.0,285.0,https://pypi.org/project/magenta,2020-11-12 19:17:18.000000,70.0,8211.0,8211.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n95,zipline,quantopian/zipline,,financial-data,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29.000000,2021-02-14 16:26:07.000000,2020-10-14 16:36:49.000000,3947,339.0,649.0,13723,6226.0,\"Zipline, a Pythonic Algorithmic Trading Library.\",151.0,30,True,2020-10-05 15:46:20.429000,1.4.1,30.0,zipline,,,,,865.0,707.0,https://pypi.org/project/zipline,2020-10-05 15:46:20.429000,158.0,7091.0,7091.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n96,pyecharts,pyecharts/pyecharts,,data-viz,https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000000,2021-02-08 07:14:13.000000,2021-01-19 10:14:13.000000,2397,33.0,1376.0,10830,1512.0,Python Echarts Plotting Library.,30.0,30,True,2020-10-29 15:14:08.000000,1.9.0,66.0,pyecharts,,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,['jupyter'],1851.0,1569.0,https://pypi.org/project/pyecharts,2020-10-29 15:14:08.000000,282.0,41495.0,41495.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n97,TFlearn,tflearn/tflearn,,ml-frameworks,https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,MIT,2016-03-31 12:05:53.000000,2021-01-25 09:41:59.000000,2020-11-30 04:34:51.000000,2429,563.0,361.0,9535,613.0,Deep learning library featuring a higher-level API for TensorFlow.,128.0,30,True,2020-11-11 19:26:11.000000,0.5.0,8.0,tflearn,,,,['tensorflow'],4119.0,3157.0,https://pypi.org/project/tflearn,2020-11-11 19:13:47.000000,962.0,17345.0,17345.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n98,Annoy,spotify/annoy,,nn-search,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40.000000,2021-03-01 19:06:27.000000,2020-12-03 18:21:18.000000,903,37.0,269.0,8355,785.0,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,68.0,30,True,2020-09-18 16:07:59.000000,1.17.0,43.0,annoy,,,,,1885.0,1525.0,https://pypi.org/project/annoy,2020-09-18 16:07:59.000000,360.0,489807.0,489807.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n99,fuzzywuzzy,seatgeek/fuzzywuzzy,,nlp,https://github.com/seatgeek/fuzzywuzzy,https://github.com/seatgeek/fuzzywuzzy,GPL-2.0,2011-07-08 19:32:34.000000,2021-04-02 14:00:24.000000,2021-02-20 06:36:20.000000,826,97.0,99.0,8003,381.0,Fuzzy String Matching in Python.,68.0,30,False,2020-02-13 22:14:12.000000,0.18.0,27.0,fuzzywuzzy,conda-forge/fuzzywuzzy,,,,11653.0,8447.0,https://pypi.org/project/fuzzywuzzy,2020-02-13 21:06:25.000000,3206.0,4805013.0,4810138.0,https://anaconda.org/conda-forge/fuzzywuzzy,2020-11-18 12:59:01.409000,292127.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n100,TextBlob,sloria/TextBlob,,nlp,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18.000000,2021-04-12 13:19:20.000000,2021-04-12 13:17:59.000000,995,85.0,150.0,7617,535.0,\"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..\",34.0,30,True,2019-02-24 23:03:17.000000,0.15.3,55.0,textblob,conda-forge/textblob,,,,13814.0,11322.0,https://pypi.org/project/textblob,2019-02-24 23:03:17.000000,2492.0,441568.0,443667.0,https://anaconda.org/conda-forge/textblob,2019-02-24 23:32:55.233000,117547.0,,,,,2.0,90.0,,,,,,,,,,,,,,,,,,,,,\n101,Vowpal Wabbit,VowpalWabbit/vowpal_wabbit,,ml-frameworks,https://github.com/VowpalWabbit/vowpal_wabbit,https://github.com/VowpalWabbit/vowpal_wabbit,BSD-3-Clause,2009-07-31 19:36:58.000000,2021-04-15 14:05:51.000000,2021-04-15 12:47:43.000000,1731,141.0,906.0,7524,9132.0,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,298.0,30,True,2021-04-13 13:14:52.000000,8.10.1,16.0,vowpalwabbit,,,,,127.0,111.0,https://pypi.org/project/vowpalwabbit,2021-04-13 13:14:52.000000,16.0,23951.0,23951.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n102,glfw,glfw/glfw,,image,https://github.com/glfw/glfw,https://github.com/glfw/glfw,Zlib,2013-04-18 15:24:53.000000,2021-04-14 17:23:22.000000,2021-03-19 13:47:46.000000,2746,444.0,1007.0,7511,4226.0,\"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.\",168.0,30,False,2021-04-08 17:55:06.000000,3.3.4,38.0,glfw,conda-forge/glfw,,,,214.0,,https://pypi.org/project/glfw,2021-02-28 20:43:49.000000,214.0,38594.0,70892.0,https://anaconda.org/conda-forge/glfw,2021-04-08 18:43:30.580000,28595.0,,,,,2.0,2277560.0,,,,,,,,,,,,,,,,,,,,,\n103,Datasets,huggingface/datasets,,data-loading,https://github.com/huggingface/datasets,https://github.com/huggingface/datasets,Apache-2.0,2020-03-26 09:23:22.000000,2021-04-15 14:31:00.000000,2021-04-15 13:49:46.000000,823,268.0,429.0,7210,1527.0,\"The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools.\",257.0,30,True,2021-03-18 14:21:52.000000,1.5.0,17.0,datasets,,,,,606.0,588.0,https://pypi.org/project/datasets,2021-03-03 16:50:29.000000,18.0,103401.0,103401.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n104,SpeechRecognition,Uberi/speech_recognition,,audio,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54.000000,2021-02-28 19:52:57.000000,2019-07-02 17:29:47.000000,1902,217.0,270.0,5562,360.0,\"Speech recognition module for Python, supporting several engines and APIs, online and offline.\",41.0,30,False,2017-12-05 14:05:14.000000,3.8.1,52.0,SpeechRecognition,conda-forge/speechrecognition,,,,8820.0,7732.0,https://pypi.org/project/SpeechRecognition,2017-12-05 13:58:29.000000,1088.0,149474.0,151384.0,https://anaconda.org/conda-forge/speechrecognition,2021-01-11 17:26:33.040000,106988.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n105,Hyperopt,hyperopt/hyperopt,,hyperopt,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59.000000,2021-03-24 09:17:46.000000,2021-03-24 09:17:46.000000,880,340.0,225.0,5548,1172.0,Distributed Asynchronous Hyperparameter Optimization in Python.,87.0,30,True,2020-10-07 09:52:56.000000,0.2.5,11.0,hyperopt,conda-forge/hyperopt,,,,3525.0,3021.0,https://pypi.org/project/hyperopt,2020-10-07 09:52:56.000000,504.0,942227.0,948372.0,https://anaconda.org/conda-forge/hyperopt,2020-10-14 07:57:14.292000,190514.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n106,Autograd,HIPS/autograd,,others,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23.000000,2021-03-03 09:28:19.000000,2021-03-03 09:27:58.000000,717,161.0,218.0,5198,1376.0,Efficiently computes derivatives of numpy code.,51.0,30,True,2017-08-24 17:00:41.000000,1.1.13,24.0,autograd,conda-forge/autograd,,,,2103.0,1759.0,https://pypi.org/project/autograd,2019-07-25 16:21:07.000000,344.0,1291714.0,1294660.0,https://anaconda.org/conda-forge/autograd,2019-07-25 18:29:55.493000,164993.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n107,sentence-transformers,UKPLab/sentence-transformers,,nlp,https://github.com/UKPLab/sentence-transformers,https://github.com/UKPLab/sentence-transformers,Apache-2.0,2019-07-24 10:53:51.000000,2021-04-12 15:50:06.000000,2021-04-05 05:16:18.000000,878,378.0,417.0,4709,704.0,Sentence Embeddings with BERT & XLNet.,44.0,30,True,2021-04-01 06:35:11.000000,1.0.4,33.0,sentence-transformers,,,,['pytorch'],878.0,878.0,https://pypi.org/project/sentence-transformers,2021-03-22 08:13:41.000000,0.0,1023550.0,1023550.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n108,UMAP,lmcinnes/umap,,data-viz,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17.000000,2021-04-14 20:01:52.000000,2021-04-14 20:01:52.000000,514,240.0,246.0,4651,1392.0,Uniform Manifold Approximation and Projection.,77.0,30,True,2021-02-08 21:04:43.000000,0.5.1,35.0,umap-learn,,,,,2953.0,2727.0,https://pypi.org/project/umap-learn,2021-02-08 21:04:43.000000,226.0,434110.0,434110.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n109,Tesseract,madmaze/pytesseract,,ocr,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000000,2021-04-13 19:11:43.000000,2021-04-13 19:11:43.000000,523,6.0,249.0,3525,374.0,Python-tesseract is an optical character recognition (OCR) tool for python.,37.0,30,True,2020-12-15 05:24:52.000000,0.3.7,24.0,pytesseract,conda-forge/pytesseract,,,,1428.0,,https://pypi.org/project/pytesseract,2020-12-15 05:24:52.000000,1428.0,1080781.0,1088679.0,https://anaconda.org/conda-forge/pytesseract,2020-11-20 10:05:14.874000,165878.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n110,MLxtend,rasbt/mlxtend,,sklearn-utils,https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16.000000,2021-04-10 17:12:25.000000,2021-03-08 20:58:11.000000,704,95.0,284.0,3421,1209.0,A library of extension and helper modules for Python's data analysis and machine learning libraries.,83.0,30,True,2020-11-26 04:18:15.000000,0.18.0,46.0,mlxtend,conda-forge/mlxtend,,,['sklearn'],3113.0,2923.0,https://pypi.org/project/mlxtend,2020-11-26 04:18:15.000000,190.0,303294.0,306896.0,https://anaconda.org/conda-forge/mlxtend,2020-11-26 05:32:00.667000,162110.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n111,bqplot,bqplot/bqplot,,data-viz,https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18.000000,2021-04-15 14:15:07.000000,2021-04-14 13:58:10.000000,404,193.0,331.0,3057,3309.0,Plotting library for IPython/Jupyter notebooks.,51.0,30,True,2021-04-08 11:35:03.000000,0.12.25,93.0,bqplot,conda-forge/bqplot,,,['jupyter'],1469.0,1347.0,https://pypi.org/project/bqplot,2021-04-08 11:30:01.000000,112.0,38797.0,65066.0,https://anaconda.org/conda-forge/bqplot,2021-04-08 11:51:20.294000,574304.0,,,,,2.0,,,,bqplot,https://www.npmjs.com/package/bqplot,2021-04-08 11:27:40.636000,10.0,16536.0,,,,,,,,,,,,,,\n112,wandb client,wandb/client,,ml-experiments,https://github.com/wandb/client,https://github.com/wandb/client,MIT,2017-03-24 05:46:23.000000,2021-04-15 05:18:08.000000,2021-04-13 23:35:42.000000,206,300.0,753.0,2886,3916.0,A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.,74.0,30,True,2021-04-13 23:34:42.000000,0.10.26,196.0,wandb,,,,,2627.0,2549.0,https://pypi.org/project/wandb,2021-04-13 23:27:52.000000,78.0,367515.0,367515.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n113,torchtext,pytorch/text,,nlp,https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000000,2021-04-15 11:36:58.000000,2021-04-07 19:19:56.000000,624,290.0,323.0,2725,800.0,Data loaders and abstractions for text and NLP.,108.0,30,True,2021-03-25 17:19:08.000000,0.9.1-rc1,14.0,torchtext,,,,['pytorch'],4886.0,4204.0,https://pypi.org/project/torchtext,2021-03-25 16:29:43.000000,682.0,139627.0,139627.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n114,PyQtGraph,pyqtgraph/pyqtgraph,,data-viz,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21.000000,2021-04-15 06:20:30.000000,2021-04-14 17:44:03.000000,825,279.0,526.0,2367,2637.0,Fast data visualization and GUI tools for scientific / engineering applications.,191.0,30,True,2021-04-07 01:54:38.000000,pyqtgraph-0.12.1,14.0,pyqtgraph,conda-forge/pyqtgraph,,,,890.0,,https://pypi.org/project/pyqtgraph,2021-04-07 02:34:28.000000,890.0,56643.0,60025.0,https://anaconda.org/conda-forge/pyqtgraph,2021-04-07 05:35:51.854000,172522.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n115,AzureML SDK,Azure/MachineLearningNotebooks,,ml-experiments,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000000,2021-04-06 16:36:12.000000,2021-04-06 16:36:12.000000,1627,146.0,883.0,2246,1118.0,Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft.,55.0,30,True,2021-03-09 04:02:53.000000,1.24.0,71.0,azureml-sdk,,,,,60.0,,https://pypi.org/project/azureml-sdk,2021-03-24 14:02:28.000000,60.0,632709.0,632722.0,,,,,,,,2.0,408.0,,,,,,,,,,,,,,,,,,,,,\n116,scikit-optimize,scikit-optimize/scikit-optimize,,hyperopt,https://github.com/scikit-optimize/scikit-optimize,https://github.com/scikit-optimize/scikit-optimize,BSD-3-Clause,2016-03-20 21:10:54.000000,2021-04-14 23:21:01.000000,2021-04-14 18:47:24.000000,396,205.0,364.0,2078,1549.0,Sequential model-based optimization with a `scipy.optimize` interface.,70.0,30,True,2020-09-04 09:08:10.000000,0.8.1,22.0,scikit-optimize,conda-forge/scikit-optimize,,,,1679.0,1519.0,https://pypi.org/project/scikit-optimize,2020-09-04 09:08:10.000000,160.0,1372467.0,1378430.0,https://anaconda.org/conda-forge/scikit-optimize,2020-09-04 09:50:52.372000,268336.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n117,smart-open,RaRe-Technologies/smart_open,,data-loading,https://github.com/RaRe-Technologies/smart_open,https://github.com/RaRe-Technologies/smart_open,MIT,2015-01-02 13:05:52.000000,2021-04-08 12:03:50.000000,2021-03-31 09:57:55.000000,279,56.0,246.0,2002,916.0,\"Utils for streaming large files (S3, HDFS, gzip, bz2...).\",78.0,30,True,2021-03-30 09:56:17.000000,5.0.0,48.0,smart-open,,,,,640.0,,https://pypi.org/project/smart-open,2021-03-30 09:55:04.000000,640.0,11837470.0,11837470.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n118,Geocoder,DenisCarriere/geocoder,,geospatial-data,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21.000000,2020-12-30 04:09:42.000000,2018-10-12 15:53:05.000000,260,90.0,217.0,1346,1251.0,Python Geocoder.,74.0,30,False,2018-04-04 12:34:51.000000,1.38.1,108.0,geocoder,conda-forge/geocoder,,,,4092.0,3248.0,https://pypi.org/project/geocoder,2018-04-04 12:34:51.000000,844.0,1092385.0,1094158.0,https://anaconda.org/conda-forge/geocoder,2019-06-27 16:40:50.469000,88680.0,,,,,2.0,,,,,,,,,,,,,,geocoder,,,,,,,,\n119,Wand,emcconville/wand,,image,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000000,2021-03-29 02:59:40.000000,2021-03-29 02:59:33.000000,183,14.0,327.0,1082,1698.0,The ctypes-based simple ImageMagick binding for Python.,95.0,30,True,2021-02-28 13:13:25.000000,0.6.6,48.0,wand,,,,,5054.0,3884.0,https://pypi.org/project/wand,2021-02-28 12:46:37.000000,1170.0,274489.0,274668.0,,,,,,,,2.0,5214.0,,,,,,,,,,,,,,,,,,,,,\n120,Fiona,Toblerity/Fiona,,geospatial-data,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00.000000,2021-04-08 06:39:37.208000,2020-11-30 07:11:40.000000,168,79.0,554.0,793,1093.0,Fiona reads and writes geographic data files.,65.0,30,True,2021-04-07 21:57:31.000000,1.8.19,97.0,fiona,conda-forge/fiona,,,,6661.0,5473.0,https://pypi.org/project/fiona,2021-04-07 21:57:31.000000,1188.0,1303095.0,1333646.0,https://anaconda.org/conda-forge/fiona,2021-04-08 06:39:37.208000,1863669.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n121,Nilearn,nilearn/nilearn,,medical-data,https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000000,2021-04-14 09:57:30.000000,2021-04-12 17:56:38.000000,391,378.0,1176.0,725,9331.0,Machine learning for NeuroImaging in Python.,166.0,30,True,2020-11-12 11:44:49.000000,0.7.0,36.0,nilearn,conda-forge/nilearn,,,['sklearn'],1262.0,960.0,https://pypi.org/project/nilearn,2021-03-10 13:17:17.000000,302.0,19620.0,21176.0,https://anaconda.org/conda-forge/nilearn,2021-03-10 17:33:32.831000,91829.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n122,NiBabel,nipy/nibabel,,medical-data,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30.000000,2021-03-23 16:53:21.000000,2021-03-09 13:05:45.000000,214,112.0,290.0,400,4958.0,Python package to access a cacophony of neuro-imaging file formats.,89.0,30,True,2020-11-28 22:19:50.000000,3.2.1,32.0,nibabel,conda-forge/nibabel,,,,5352.0,4088.0,https://pypi.org/project/nibabel,2020-11-28 22:18:23.000000,1264.0,111135.0,116655.0,https://anaconda.org/conda-forge/nibabel,2020-11-29 03:40:05.178000,325719.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n123,Face Recognition,ageitgey/face_recognition,,image,https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39.000000,2021-03-20 02:37:00.000000,2020-09-26 15:32:59.000000,11016,591.0,534.0,39439,211.0,The world's simplest facial recognition api for Python and the command line.,45.0,29,True,2018-08-21 18:34:21.000000,1.2.3,21.0,face_recognition,,,,['pytorch'],406.0,,https://pypi.org/project/face_recognition,2018-08-21 18:34:21.000000,406.0,51214.0,51223.0,,,,,,,,2.0,441.0,,,,,,,,,,,,,,,,,,,,,\n124,fastText,facebookresearch/fastText,,nlp,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000000,2021-01-15 15:28:41.000000,2020-07-18 00:20:40.000000,4325,446.0,594.0,22451,379.0,Library for fast text representation and classification.,58.0,29,True,2020-04-28 09:54:50.000000,0.9.2,35.0,fasttext,conda-forge/fasttext,,,,1835.0,1645.0,https://pypi.org/project/fasttext,2020-04-28 09:54:50.000000,190.0,269652.0,270104.0,https://anaconda.org/conda-forge/fasttext,2020-10-12 14:55:45.199000,19000.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n125,detectron2,facebookresearch/detectron2,,image,https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000000,2021-04-15 13:28:54.000000,2021-04-14 23:32:23.000000,4062,96.0,2280.0,15969,1100.0,Detectron2 is FAIR's next-generation platform for object detection and segmentation.,151.0,29,True,2021-03-13 01:36:49.000000,0.4,8.0,,conda-forge/detectron2,,,['pytorch'],209.0,209.0,,,,,1485.0,https://anaconda.org/conda-forge/detectron2,2020-08-05 13:27:52.058000,16337.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n126,Faiss,facebookresearch/faiss,,nn-search,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000000,2021-04-15 12:17:05.000000,2021-04-14 20:11:54.000000,2177,124.0,1341.0,13217,508.0,A library for efficient similarity search and clustering of dense vectors.,82.0,29,True,2021-03-08 12:52:06.000000,1.0.1,46.0,pymilvus,conda-forge/faiss,,,,352.0,346.0,https://pypi.org/project/pymilvus,2021-03-08 12:52:06.000000,6.0,16440.0,22554.0,https://anaconda.org/conda-forge/faiss,2021-04-15 12:16:28.065000,67264.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n127,Prophet,facebook/prophet,,time-series-data,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000000,2021-04-14 13:39:09.000000,2021-04-03 22:03:28.000000,3587,52.0,1511.0,12538,651.0,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,129.0,29,True,2021-04-02 23:45:16.000000,1.0,14.0,fbprophet,,,,,150.0,,https://pypi.org/project/fbprophet,2020-09-05 16:12:50.000000,150.0,770888.0,770899.0,,,,,,,,1.0,579.0,,,,,,,,,,,,,,,,,,,,,\n128,horovod,horovod/horovod,,distributed-ml,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000000,2021-04-14 17:26:17.000000,2021-04-12 16:18:04.000000,1790,229.0,1534.0,11101,907.0,\"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.\",115.0,29,True,2021-02-15 20:51:41.000000,0.21.3,64.0,horovod,,,,,388.0,348.0,https://pypi.org/project/horovod,2021-02-15 20:51:41.000000,40.0,56503.0,56503.0,,,,,,,,2.0,,,stable/horovod,,,,,,,,,,,,,,,,,,,\n129,PyTorch Geometric,rusty1s/pytorch_geometric,,graph,https://github.com/rusty1s/pytorch_geometric,https://github.com/rusty1s/pytorch_geometric,MIT,2017-10-06 16:03:03.000000,2021-04-14 08:58:22.000000,2021-04-14 08:58:19.000000,1834,756.0,1189.0,10732,4359.0,Geometric Deep Learning Extension Library for PyTorch.,155.0,29,True,2021-04-09 08:44:51.000000,1.7.0,26.0,torch-geometric,,,,['pytorch'],24.0,,https://pypi.org/project/torch-geometric,2020-12-02 14:54:13.000000,24.0,37769.0,37769.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n130,Lime,marcotcr/lime,,interpretability,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10.000000,2021-02-04 08:58:12.000000,2021-01-12 16:12:17.000000,1402,63.0,443.0,8639,508.0,Lime: Explaining the predictions of any machine learning classifier.,57.0,29,True,2020-04-03 22:05:03.000000,0.2.0.0,38.0,lime,conda-forge/lime,,,,1326.0,1198.0,https://pypi.org/project/lime,2020-06-26 21:38:15.000000,128.0,357506.0,358843.0,https://anaconda.org/conda-forge/lime,2020-06-28 01:02:41.538000,69571.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n131,TPOT,EpistasisLab/tpot,,hyperopt,https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40.000000,2021-03-17 21:46:35.000000,2021-01-06 15:17:46.000000,1396,214.0,592.0,7942,2368.0,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,108.0,29,False,2021-01-06 15:20:08.000000,0.11.7,60.0,tpot,conda-forge/tpot,,,['sklearn'],996.0,916.0,https://pypi.org/project/tpot,2021-01-06 15:20:08.000000,80.0,40971.0,43050.0,https://anaconda.org/conda-forge/tpot,2021-03-05 04:04:38.005000,114356.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n132,Albumentations,albumentations-team/albumentations,,image,https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000000,2021-04-11 19:00:47.000000,2021-04-02 10:55:20.000000,978,183.0,250.0,7707,628.0,Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation:..,76.0,29,True,2020-11-29 14:30:07.000000,0.5.2,44.0,albumentations,conda-forge/albumentations,,,['pytorch'],3415.0,3287.0,https://pypi.org/project/albumentations,2020-11-29 14:30:07.000000,128.0,124434.0,125211.0,https://anaconda.org/conda-forge/albumentations,2020-11-29 15:51:47.610000,17106.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n133,MoviePy,Zulko/moviepy,,image,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000000,2021-04-15 13:02:08.000000,2021-04-15 13:02:08.000000,1024,337.0,720.0,7437,1020.0,Video editing with Python.,139.0,29,True,2020-05-07 16:29:35.000000,1.0.3,84.0,moviepy,conda-forge/moviepy,,,,8009.0,6879.0,https://pypi.org/project/moviepy,2020-10-05 00:26:29.000000,1130.0,427392.0,429136.0,https://anaconda.org/conda-forge/moviepy,2020-02-23 19:57:49.975000,78509.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n134,pandas-profiling,pandas-profiling/pandas-profiling,,data-viz,https://github.com/pandas-profiling/pandas-profiling,https://github.com/pandas-profiling/pandas-profiling,MIT,2016-01-09 23:47:55.000000,2021-04-15 08:47:44.000000,2021-04-15 08:23:14.000000,1055,72.0,382.0,7110,784.0,Create HTML profiling reports from pandas DataFrame objects.,75.0,29,True,2021-02-20 14:18:35.000000,2.11.0,27.0,pandas-profiling,conda-forge/pandas-profiling,,,\"['jupyter', 'pandas']\",3826.0,3666.0,https://pypi.org/project/pandas-profiling,2021-02-07 23:45:05.000000,160.0,374423.0,376518.0,https://anaconda.org/conda-forge/pandas-profiling,2021-02-20 16:48:07.057000,117340.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n135,tensorboardX,lanpa/tensorboardX,,ml-experiments,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19.000000,2021-04-06 13:33:53.253000,2021-04-03 15:54:51.000000,795,63.0,355.0,6900,468.0,\"tensorboard for pytorch (and chainer, mxnet, numpy, ...).\",65.0,29,True,2020-07-05 17:54:10.000000,2.0,13.0,tensorboardX,conda-forge/tensorboardx,,,,12669.0,11335.0,https://pypi.org/project/tensorboardX,2020-07-05 16:22:14.000000,1334.0,580833.0,589658.0,https://anaconda.org/conda-forge/tensorboardx,2021-04-06 13:33:53.253000,343915.0,,,,,2.0,321.0,,,,,,,,,,,,,,,,,,,,,\n136,Modin,modin-project/modin,,data-containers,https://github.com/modin-project/modin,https://github.com/modin-project/modin,Apache-2.0,2018-06-21 21:35:05.000000,2021-04-15 14:53:54.000000,2021-04-13 13:26:20.000000,413,495.0,1197.0,5968,1344.0,Modin: Speed up your Pandas workflows by changing a single line of code.,75.0,29,True,2021-03-16 02:04:13.000000,0.9.1,37.0,modin,,,,['pandas'],357.0,339.0,https://pypi.org/project/modin,2021-03-04 23:04:25.000000,18.0,125228.0,131149.0,,,,,,,,2.0,195397.0,,,,,,,,,,,,,,,,,,,,,\n137,yfinance,ranaroussi/yfinance,,financial-data,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000000,2021-04-12 19:38:03.000000,2021-03-25 00:42:57.000000,1165,292.0,226.0,4783,,Yahoo! Finance market data downloader (+faster Pandas Datareader).,36.0,29,True,2021-03-25 00:43:03.000000,0.1.59,24.0,yfinance,ranaroussi/yfinance,,,,3909.0,3883.0,https://pypi.org/project/yfinance,2021-03-25 00:43:03.000000,26.0,204387.0,206535.0,https://anaconda.org/ranaroussi/yfinance,2019-12-27 21:30:44.606000,42960.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n138,PyOD,yzhao062/pyod,,others,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04.000000,2021-04-14 14:51:35.000000,2021-02-18 15:48:37.000000,883,109.0,86.0,4371,1255.0,(JMLR'19) A Python Toolbox for Scalable Outlier Detection (Anomaly Detection).,23.0,29,True,2021-02-18 15:53:13.000000,0.8.7,65.0,pyod,,,,,579.0,573.0,https://pypi.org/project/pyod,2021-02-18 15:53:13.000000,6.0,155666.0,155666.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n139,TinyDB,msiemens/tinydb,,data-containers,https://github.com/msiemens/tinydb,https://github.com/msiemens/tinydb,MIT,2013-07-12 23:31:13.000000,2021-04-09 21:03:35.000000,2021-04-09 21:03:32.000000,367,8.0,247.0,4163,613.0,TinyDB is a lightweight document oriented database optimized for your happiness :).,63.0,29,True,2021-02-11 19:31:26.000000,4.4.0,59.0,tinydb,conda-forge/tinydb,,,,1118.0,,https://pypi.org/project/tinydb,2021-02-11 19:31:24.000000,1118.0,272404.0,274347.0,https://anaconda.org/conda-forge/tinydb,2021-02-11 21:20:33.462000,112706.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n140,kaggle,Kaggle/kaggle-api,,ml-experiments,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000000,2021-03-19 16:43:36.000000,2021-03-15 15:49:05.000000,792,172.0,115.0,3964,145.0,Official Kaggle API.,36.0,29,True,2021-03-13 00:50:03.000000,1.5.12,48.0,kaggle,conda-forge/kaggle,,,,5625.0,5061.0,https://pypi.org/project/kaggle,2021-03-13 00:50:03.000000,564.0,168708.0,170955.0,https://anaconda.org/conda-forge/kaggle,2021-03-16 16:09:03.613000,51694.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n141,Kedro,quantumblacklabs/kedro,,data-pipelines,https://github.com/quantumblacklabs/kedro,https://github.com/quantumblacklabs/kedro,Apache-2.0,2019-04-18 10:29:56.000000,2021-04-15 15:04:57.000000,2021-04-15 14:57:03.000000,427,77.0,384.0,3701,1203.0,\"A Python framework for creating reproducible, maintainable and modular data science code.\",102.0,29,True,2021-03-15 18:11:52.000000,0.17.2,26.0,kedro,,,,,462.0,446.0,https://pypi.org/project/kedro,2021-03-15 18:11:52.000000,16.0,133655.0,133655.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n142,Ignite,pytorch/ignite,,ml-frameworks,https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000000,2021-04-14 23:41:29.000000,2021-04-14 23:34:13.000000,440,104.0,687.0,3509,1075.0,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,134.0,29,True,2021-03-03 23:10:39.000000,0.4.4,524.0,pytorch-ignite,pytorch/ignite,,,['pytorch'],886.0,824.0,https://pypi.org/project/pytorch-ignite,2021-04-14 00:20:19.000000,62.0,59168.0,60871.0,https://anaconda.org/pytorch/ignite,2021-03-03 23:10:32.721000,57926.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n143,sacred,IDSIA/sacred,,ml-experiments,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29.000000,2021-04-13 10:22:10.000000,2021-02-25 06:50:58.000000,314,92.0,403.0,3408,1303.0,\"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.\",92.0,29,True,2020-12-14 15:21:05.000000,0.8.2,27.0,sacred,,,,,1022.0,868.0,https://pypi.org/project/sacred,2020-12-14 15:21:05.000000,154.0,25393.0,25393.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n144,Dedupe,dedupeio/dedupe,,nlp,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36.000000,2021-03-24 15:27:24.000000,2021-03-24 15:27:24.000000,423,60.0,579.0,2981,2807.0,\"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.\",56.0,29,True,2021-02-28 20:52:16.000000,2.0.7,158.0,dedupe,,,,,259.0,181.0,https://pypi.org/project/dedupe,2021-02-28 20:52:16.000000,78.0,102119.0,102119.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n145,dbt,fishtown-analytics/dbt,,data-pipelines,https://github.com/fishtown-analytics/dbt,https://github.com/fishtown-analytics/dbt,Apache-2.0,2016-03-10 02:38:00.000000,2021-04-15 14:59:52.000000,2021-04-14 17:33:32.000000,548,325.0,1520.0,2823,2481.0,dbt (data build tool) enables data analysts and engineers to transform their data using the same practices that..,141.0,29,True,2021-03-31 18:19:23.000000,0.19.1,150.0,dbt,conda-forge/dbt,,,,269.0,251.0,https://pypi.org/project/dbt,2021-03-31 17:48:44.000000,18.0,330772.0,333796.0,https://anaconda.org/conda-forge/dbt,2020-05-14 13:55:32.153000,160323.0,,,,,2.0,,,,,,,,,,dbt,,,,,,,,,,,,\n146,Koalas,databricks/koalas,,data-containers,https://github.com/databricks/koalas,https://github.com/databricks/koalas,Apache-2.0,2019-01-03 21:46:54.000000,2021-04-14 23:55:55.000000,2021-04-14 01:31:37.000000,304,109.0,439.0,2752,1533.0,Koalas: pandas API on Apache Spark.,50.0,29,True,2021-03-08 10:28:06.000000,1.7.0,44.0,koalas,conda-forge/koalas,,,\"['spark', 'pandas']\",88.0,86.0,https://pypi.org/project/koalas,2021-03-08 10:28:06.000000,2.0,2570345.0,2574047.0,https://anaconda.org/conda-forge/koalas,2021-03-09 01:46:58.770000,84262.0,,,,,2.0,996.0,,,,,,,,,,,,,,,,,,,,,\n147,VisPy,vispy/vispy,,data-viz,https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22.000000,2021-04-14 18:44:39.000000,2021-03-15 18:34:47.000000,545,354.0,818.0,2626,6471.0,High-performance interactive 2D/3D data visualization library.,149.0,29,True,2020-12-14 15:55:00.000000,0.6.6,16.0,vispy,conda-forge/vispy,,,['jupyter'],607.0,485.0,https://pypi.org/project/vispy,2020-11-28 02:55:50.000000,122.0,33112.0,36485.0,https://anaconda.org/conda-forge/vispy,2021-01-13 03:28:46.609000,138433.0,,,,,2.0,,,,vispy,https://www.npmjs.com/package/vispy,2020-03-15 14:39:41.516000,,77.0,,,,,,,,,,,,,,\n148,mrjob,Yelp/mrjob,,data-pipelines,https://github.com/Yelp/mrjob,https://github.com/Yelp/mrjob,Apache-2.0,2010-10-13 18:35:21.000000,2021-03-31 18:37:58.000000,2020-11-16 22:20:52.000000,590,202.0,1089.0,2536,8622.0,Run MapReduce jobs on Hadoop or Amazon Web Services.,142.0,29,True,2020-09-17 22:26:01.000000,0.7.4,60.0,mrjob,conda-forge/mrjob,,,,828.0,716.0,https://pypi.org/project/mrjob,2020-09-17 22:26:01.000000,112.0,109567.0,115780.0,https://anaconda.org/conda-forge/mrjob,2020-12-24 22:44:29.424000,341719.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n149,GPyTorch,cornellius-gp/gpytorch,,probabilistics,https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000000,2021-04-15 13:43:21.000000,2021-04-15 13:21:58.000000,338,207.0,686.0,2350,3400.0,A highly efficient and modular implementation of Gaussian Processes in PyTorch.,76.0,29,True,2021-04-15 13:43:21.000000,1.4.1,27.0,gpytorch,,,,['pytorch'],267.0,259.0,https://pypi.org/project/gpytorch,2021-04-15 13:43:21.000000,8.0,73799.0,73799.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n150,NMSLIB,nmslib/nmslib,,nn-search,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06.000000,2021-03-16 02:11:45.000000,2021-03-16 02:11:39.000000,339,41.0,322.0,2349,1503.0,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,44.0,29,True,2021-02-03 16:40:09.000000,2.1.1,32.0,nmslib,conda-forge/nmslib,,,,407.0,355.0,https://pypi.org/project/nmslib,2021-02-03 00:02:08.000000,52.0,68562.0,70444.0,https://anaconda.org/conda-forge/nmslib,2021-01-08 16:19:07.762000,22594.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n151,hmmlearn,hmmlearn/hmmlearn,,probabilistics,https://github.com/hmmlearn/hmmlearn,https://github.com/hmmlearn/hmmlearn,BSD-3-Clause,2014-03-23 10:33:09.000000,2021-02-05 09:47:49.000000,2021-02-05 09:47:44.000000,647,67.0,279.0,2229,355.0,\"Hidden Markov Models in Python, with scikit-learn like API.\",32.0,29,True,2021-02-03 14:33:20.000000,0.2.5,7.0,hmmlearn,conda-forge/hmmlearn,,,['sklearn'],1144.0,938.0,https://pypi.org/project/hmmlearn,2021-02-03 14:32:44.000000,206.0,176365.0,178905.0,https://anaconda.org/conda-forge/hmmlearn,2021-02-04 16:23:17.046000,73673.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n152,pandas-datareader,pydata/pandas-datareader,,data-loading,https://github.com/pydata/pandas-datareader,https://github.com/pydata/pandas-datareader,BSD-3-Clause,2015-01-15 00:34:19.000000,2021-04-14 09:06:51.000000,2020-12-31 11:58:23.000000,521,86.0,370.0,1962,764.0,Extract data from a wide range of Internet sources into a pandas DataFrame.,77.0,29,True,2020-07-10 10:04:14.000000,0.9.0,21.0,pandas-datareader,conda-forge/pandas-datareader,,,['pandas'],10196.0,8790.0,https://pypi.org/project/pandas-datareader,2020-07-10 10:04:14.000000,1406.0,223875.0,226216.0,https://anaconda.org/conda-forge/pandas-datareader,2021-03-16 22:58:42.079000,112405.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n153,ImageHash,JohannesBuchner/imagehash,,image,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48.000000,2021-03-25 13:32:22.000000,2021-01-03 14:55:15.000000,257,22.0,75.0,1913,184.0,A Python Perceptual Image Hashing Module.,17.0,29,True,2021-03-25 13:49:48.000000,4.1.0,17.0,ImageHash,conda-forge/imagehash,,,,2876.0,2344.0,https://pypi.org/project/ImageHash,2020-11-19 14:54:24.000000,532.0,670826.0,672947.0,https://anaconda.org/conda-forge/imagehash,2020-11-19 18:20:49.964000,112451.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n154,HoloViews,holoviz/holoviews,,data-viz,https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000000,2021-04-14 18:07:05.000000,2021-04-13 12:04:56.000000,306,708.0,1842.0,1854,10165.0,\"With Holoviews, your data visualizes itself.\",102.0,29,True,2021-04-08 13:54:50.000000,1.14.3,70.0,holoviews,conda-forge/holoviews,,,['jupyter'],170.0,,https://pypi.org/project/holoviews,2021-04-08 13:54:50.000000,170.0,82343.0,96047.0,https://anaconda.org/conda-forge/holoviews,2021-04-08 15:16:37.674000,464685.0,,,,,2.0,,,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,2020-05-24 13:49:54.205000,,5828.0,,,,,,,,,,,,,,\n155,hdbscan,scikit-learn-contrib/hdbscan,,others,https://github.com/scikit-learn-contrib/hdbscan,https://github.com/scikit-learn-contrib/hdbscan,BSD-3-Clause,2015-04-22 13:32:37.000000,2021-04-07 15:55:02.000000,2021-04-07 15:55:02.000000,339,225.0,146.0,1854,884.0,A high performance implementation of HDBSCAN clustering.,69.0,29,True,2021-02-03 20:21:02.000000,0.8.27,43.0,hdbscan,conda-forge/hdbscan,,,['sklearn'],929.0,805.0,https://pypi.org/project/hdbscan,2021-02-03 20:21:02.000000,124.0,225051.0,236084.0,https://anaconda.org/conda-forge/hdbscan,2021-02-14 03:07:15.749000,628923.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n156,Lifelines,CamDavidsonPilon/lifelines,,medical-data,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42.000000,2021-04-13 14:44:06.000000,2021-04-13 14:43:59.000000,420,200.0,599.0,1604,2110.0,Survival analysis in Python.,93.0,29,True,2021-04-13 14:41:27.000000,0.25.11,156.0,lifelines,conda-forge/lifelines,,,,673.0,547.0,https://pypi.org/project/lifelines,2021-04-13 14:41:27.000000,126.0,260625.0,263018.0,https://anaconda.org/conda-forge/lifelines,2021-04-06 18:57:53.837000,138841.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n157,pyLDAvis,bmabey/pyLDAvis,,interpretability,https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03.000000,2021-03-27 19:16:59.000000,2021-03-24 13:03:31.000000,302,75.0,72.0,1435,240.0,Python library for interactive topic model visualization. Port of the R LDAvis package.,32.0,29,True,2021-03-24 13:05:21.000000,3.3.1,24.0,pyldavis,conda-forge/pyldavis,,,['jupyter'],2182.0,1984.0,https://pypi.org/project/pyldavis,2021-03-24 12:57:08.000000,198.0,140842.0,141522.0,https://anaconda.org/conda-forge/pyldavis,2021-03-24 15:17:07.309000,23131.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n158,torchaudio,pytorch/audio,,audio,https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000000,2021-04-15 14:48:59.000000,2021-04-14 16:37:10.000000,296,149.0,309.0,1291,818.0,\"Data manipulation and transformation for audio signal processing, powered by PyTorch.\",114.0,29,True,2021-03-25 16:30:33.000000,0.8.1,14.0,torchaudio,,,,['pytorch'],2372.0,2354.0,https://pypi.org/project/torchaudio,2021-03-25 16:29:07.000000,18.0,193777.0,193777.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n159,ipyleaflet,jupyter-widgets/ipyleaflet,,geospatial-data,https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10.000000,2021-04-12 10:46:55.000000,2021-04-12 10:46:55.000000,290,153.0,256.0,1107,912.0,A Jupyter - Leaflet.js bridge.,64.0,29,True,2021-01-05 16:38:38.000000,0.13.6,70.0,ipyleaflet,conda-forge/ipyleaflet,,,['jupyter'],896.0,796.0,https://pypi.org/project/ipyleaflet,2021-01-05 16:38:38.000000,98.0,33953.0,65049.0,https://anaconda.org/conda-forge/ipyleaflet,2021-01-16 23:51:37.383000,646648.0,,,,,3.0,,,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2021-01-05 16:30:30.235000,2.0,20136.0,,,,,,,,,,,,,,\n160,PyTables,PyTables/PyTables,,data-containers,https://github.com/PyTables/PyTables,https://github.com/PyTables/PyTables,BSD-3-Clause,2011-06-03 19:44:46.000000,2021-03-26 00:08:03.000000,2021-03-20 09:04:48.000000,204,168.0,449.0,1016,3954.0,A Python package to manage extremely large amounts of data.,98.0,29,True,2019-10-30 19:33:37.000000,3.6.1,25.0,tables,conda-forge/pytables,,,,3754.0,,https://pypi.org/project/tables,2019-10-30 19:33:37.000000,3754.0,661173.0,705317.0,https://anaconda.org/conda-forge/pytables,2021-01-14 18:41:06.536000,2471962.0,,,,,2.0,129.0,,,,,,,,,,,,,,,,,,,,,\n161,Graphviz,xflr6/graphviz,,data-viz,https://github.com/xflr6/graphviz,https://github.com/xflr6/graphviz,MIT,2014-01-12 17:49:29.000000,2021-03-14 18:19:06.000000,2021-03-14 18:18:52.000000,142,9.0,100.0,964,458.0,Simple Python interface for Graphviz.,15.0,29,True,2020-10-07 09:06:41.000000,0.14.2,47.0,graphviz,,,,,23611.0,19229.0,https://pypi.org/project/graphviz,2020-12-24 16:17:24.000000,4382.0,6036575.0,6036575.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n162,Keras-Preprocessing,keras-team/keras-preprocessing,,others,https://github.com/keras-team/keras-preprocessing,https://github.com/keras-team/keras-preprocessing,MIT,2018-05-30 22:43:36.000000,2021-02-04 19:43:30.000000,2021-02-04 19:43:30.000000,420,93.0,99.0,934,284.0,\"Utilities for working with image data, text data, and sequence data.\",50.0,29,True,2020-05-14 03:53:47.000000,1.1.2,12.0,keras-preprocessing,conda-forge/keras-preprocessing,,,['tensorflow'],2736.0,,https://pypi.org/project/keras-preprocessing,2020-05-14 03:53:47.000000,2736.0,5663705.0,5690011.0,https://anaconda.org/conda-forge/keras-preprocessing,2021-01-15 12:28:58.923000,894407.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n163,snakemake,snakemake/snakemake,,ml-experiments,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867000,2021-04-15 12:24:36.000000,2021-04-15 12:06:39.000000,202,372.0,223.0,928,4056.0,\"This is the development home of the workflow management system Snakemake. For general information, see.\",198.0,29,True,2021-04-07 08:44:55.000000,6.1.1,169.0,snakemake,bioconda/snakemake,,,,1074.0,786.0,https://pypi.org/project/snakemake,2021-04-07 08:45:39.000000,288.0,17793.0,22182.0,https://anaconda.org/bioconda/snakemake,2021-04-07 12:24:31.411000,289678.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n164,TensorFlow Transform,tensorflow/transform,,tensorflow-utils,https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53.000000,2021-04-15 10:52:57.000000,2021-04-15 10:52:53.000000,169,34.0,124.0,865,631.0,Input pipeline framework.,27.0,29,True,2021-03-25 17:54:01.000000,0.29.0,36.0,tensorflow-transform,,,,['tensorflow'],523.0,439.0,https://pypi.org/project/tensorflow-transform,2021-03-25 17:54:01.000000,84.0,8095701.0,8095701.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n165,Bottleneck,pydata/bottleneck,,data-containers,https://github.com/pydata/bottleneck,https://github.com/pydata/bottleneck,BSD-2-Clause,2010-11-27 23:21:22.000000,2021-03-22 17:21:10.000000,2021-01-24 18:39:03.000000,65,28.0,177.0,598,1241.0,Fast NumPy array functions written in C.,21.0,29,True,2020-02-21 06:22:16.000000,1.3.2,21.0,Bottleneck,conda-forge/bottleneck,,,,23580.0,20688.0,https://pypi.org/project/Bottleneck,2020-02-21 06:22:16.000000,2892.0,367379.0,392846.0,https://anaconda.org/conda-forge/bottleneck,2021-01-21 02:48:32.623000,1502572.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n166,NIPYPE,nipy/nipype,,medical-data,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000000,2021-04-14 14:42:21.000000,2021-04-09 17:55:45.000000,456,337.0,878.0,560,14079.0,Workflows and interfaces for neuroimaging packages.,213.0,29,True,2020-11-28 17:23:30.000000,1.6.0,54.0,nipype,conda-forge/nipype,,,,749.0,557.0,https://pypi.org/project/nipype,2020-11-28 17:23:30.000000,192.0,18239.0,25000.0,https://anaconda.org/conda-forge/nipype,2020-11-28 17:44:51.813000,385381.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n167,Rasa,RasaHQ/rasa,,nlp,https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49.000000,2021-04-15 14:04:40.000000,2021-04-14 16:48:12.000000,3345,611.0,4687.0,11161,,\"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..\",477.0,28,True,2021-04-14 21:16:02.000000,1.10.25,196.0,rasa,,,,['tensorflow'],64.0,,https://pypi.org/project/rasa,2021-04-12 19:57:32.000000,64.0,169981.0,169981.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n168,Turi Create,apple/turicreate,,ml-frameworks,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04.000000,2021-03-31 19:36:36.000000,2021-03-31 19:36:36.000000,1091,476.0,1262.0,10221,1567.0,Turi Create simplifies the development of custom machine learning models.,82.0,28,True,2020-09-30 22:51:40.000000,6.4.1,31.0,turicreate,,,,,269.0,235.0,https://pypi.org/project/turicreate,2020-09-30 22:51:40.000000,34.0,26686.0,26784.0,,,,,,,,3.0,3921.0,,,,,,,,,,,,,,,,,,,,,\n169,Dopamine,google/dopamine,,reinforcement-learning,https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36.000000,2021-04-08 17:53:18.000000,2021-04-08 17:48:28.000000,1254,82.0,73.0,9375,227.0,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,14.0,28,True,2021-03-03 22:26:11.000000,3.1.10,37.0,dopamine-rl,,,,['tensorflow'],62.0,,https://pypi.org/project/dopamine-rl,2021-04-08 17:53:18.000000,62.0,83571.0,83571.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n170,Sonnet,deepmind/sonnet,,ml-frameworks,https://github.com/deepmind/sonnet,https://github.com/deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35.000000,2021-03-15 18:24:14.000000,2021-03-15 18:23:31.000000,1266,19.0,137.0,8836,545.0,TensorFlow-based neural network library.,51.0,28,True,2020-03-27 10:36:19.000000,2.0.0,27.0,dm-sonnet,conda-forge/sonnet,,,['tensorflow'],639.0,557.0,https://pypi.org/project/dm-sonnet,2020-03-27 10:36:10.000000,82.0,55778.0,56282.0,https://anaconda.org/conda-forge/sonnet,2020-11-14 18:13:23.843000,8578.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n171,PyTorch Image Models,rwightman/pytorch-image-models,,image,https://github.com/rwightman/pytorch-image-models,https://github.com/rwightman/pytorch-image-models,Apache-2.0,2019-02-02 05:51:12.000000,2021-04-14 05:15:57.000000,2021-04-14 05:15:20.000000,1276,27.0,262.0,8763,812.0,\"PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision..\",38.0,28,True,2021-03-31 19:11:46.000000,0.1-pit-weights,19.0,,,,,['pytorch'],435.0,435.0,,,,,13796.0,,,,,,,,2.0,317309.0,,,,,,,,,,,,,,,,,,,,,\n172,AutoKeras,keras-team/autokeras,,hyperopt,https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20.000000,2021-04-09 23:29:27.000000,2021-03-18 20:17:05.000000,1281,66.0,668.0,7912,1250.0,AutoML library for deep learning.,129.0,28,True,2020-11-30 02:43:50.000000,1.0.12,46.0,autokeras,,,,['tensorflow'],174.0,167.0,https://pypi.org/project/autokeras,2020-11-30 02:43:50.000000,7.0,9681.0,9681.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n173,Pyro,pyro-ppl/pyro,,probabilistics,https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000000,2021-04-13 03:13:16.000000,2021-04-13 03:13:16.000000,826,137.0,690.0,6865,2188.0,Deep universal probabilistic programming with Python and PyTorch.,105.0,28,True,2021-03-04 23:01:34.000000,1.6.0,26.0,pyro-ppl,,,,['pytorch'],464.0,428.0,https://pypi.org/project/pyro-ppl,2021-03-04 23:05:10.000000,36.0,38273.0,38273.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n174,tensorpack,tensorpack/tensorpack,,ml-frameworks,https://github.com/tensorpack/tensorpack,https://github.com/tensorpack/tensorpack,Apache-2.0,2015-12-25 23:08:44.000000,2021-03-02 06:18:21.000000,2021-03-02 06:18:10.000000,1772,8.0,1314.0,5984,2930.0,\"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.\",55.0,28,True,2020-04-24 19:01:06.000000,0.10.1,37.0,tensorpack,,,,['tensorflow'],807.0,731.0,https://pypi.org/project/tensorpack,2021-01-22 08:44:03.000000,76.0,15417.0,15419.0,,,,,,,,3.0,117.0,,,,,,,,,,,,,,,,,,,,,\n175,faust,robinhood/faust,,data-pipelines,https://github.com/robinhood/faust,https://github.com/robinhood/faust,BSD-3-Clause,2017-03-08 18:36:11.000000,2021-01-21 01:53:26.000000,2020-10-09 12:59:42.000000,451,235.0,224.0,5469,4137.0,Python Stream Processing.,91.0,28,True,2020-02-25 22:57:18.000000,1.10.4,46.0,faust,,,,,733.0,705.0,https://pypi.org/project/faust,2020-02-25 22:57:18.000000,28.0,864832.0,864832.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n176,DeepPavlov,deepmipt/DeepPavlov,,nlp,https://github.com/deepmipt/DeepPavlov,https://github.com/deepmipt/DeepPavlov,Apache-2.0,2017-11-17 14:35:29.000000,2021-04-11 13:23:02.000000,2021-04-03 15:53:30.000000,933,118.0,457.0,5139,2581.0,An open source library for deep learning end-to-end dialog systems and chatbots.,61.0,28,True,2021-04-03 16:00:08.000000,0.14.1,42.0,deeppavlov,,,,['tensorflow'],193.0,185.0,https://pypi.org/project/deeppavlov,2021-04-03 16:00:08.000000,8.0,11647.0,11647.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n177,Bayesian Optimization,fmfn/BayesianOptimization,,hyperopt,https://github.com/fmfn/BayesianOptimization,https://github.com/fmfn/BayesianOptimization,MIT,2014-06-06 08:18:56.000000,2021-03-17 21:02:26.000000,2020-12-19 01:11:23.000000,1097,40.0,166.0,5033,199.0,A Python implementation of global optimization with gaussian processes.,27.0,28,True,2020-05-16 16:03:51.000000,1.2.0,8.0,bayesian-optimization,,,,,783.0,691.0,https://pypi.org/project/bayesian-optimization,2020-05-16 15:56:09.000000,92.0,109930.0,109931.0,,,,,,,,1.0,54.0,,,,,,,,,,,,,,,,,,,,,\n178,OpenNMT,OpenNMT/OpenNMT-py,,nlp,https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000000,2021-04-14 07:47:05.000000,2021-04-14 07:47:05.000000,1814,104.0,1143.0,4946,2552.0,Open Source Neural Machine Translation in PyTorch.,168.0,28,True,2021-01-27 09:22:31.000000,2.0.1,28.0,OpenNMT-py,,,,['pytorch'],87.0,83.0,https://pypi.org/project/OpenNMT-py,2021-01-27 09:22:31.000000,4.0,4749.0,4749.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n179,GluonCV,dmlc/gluon-cv,,image,https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21.000000,2021-04-12 16:53:34.000000,2021-04-12 16:53:33.000000,1068,384.0,380.0,4673,858.0,Gluon CV Toolkit.,112.0,28,True,2021-03-28 22:53:04.000000,0.10.1,1058.0,gluoncv,,,,['mxnet'],494.0,464.0,https://pypi.org/project/gluoncv,2021-04-12 09:01:38.000000,30.0,94271.0,94271.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n180,snorkel,snorkel-team/snorkel,,data-loading,https://github.com/snorkel-team/snorkel,https://github.com/snorkel-team/snorkel,Apache-2.0,2016-02-26 05:52:45.000000,2021-03-30 07:46:34.000000,2021-03-13 23:03:14.000000,735,23.0,919.0,4563,2652.0,A system for quickly generating training data with weak supervision.,64.0,28,True,2021-03-09 21:51:40.000000,0.9.7,19.0,snorkel,conda-forge/snorkel,,,,87.0,79.0,https://pypi.org/project/snorkel,2021-03-09 21:39:08.000000,8.0,123880.0,124732.0,https://anaconda.org/conda-forge/snorkel,2021-03-16 04:08:56.469000,17639.0,,,,,3.0,670.0,,,,,,,,,,,,,,,,,,,,,\n181,csvkit,wireservice/csvkit,,data-loading,https://github.com/wireservice/csvkit,https://github.com/wireservice/csvkit,MIT,2011-04-01 03:00:30.000000,2021-04-01 14:02:02.000000,2021-03-10 22:01:27.000000,535,56.0,753.0,4546,1696.0,\"A suite of utilities for converting to and working with CSV, the king of tabular file formats.\",91.0,28,True,2020-03-03 03:00:28.000000,1.0.5,33.0,csvkit,conda-forge/csvkit,,,,1553.0,851.0,https://pypi.org/project/csvkit,2020-03-03 03:00:28.000000,702.0,53558.0,54543.0,https://anaconda.org/conda-forge/csvkit,2019-05-28 12:30:50.171000,48287.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n182,librosa,librosa/librosa,,audio,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000000,2021-04-14 15:33:46.000000,2021-04-14 15:33:43.000000,722,70.0,799.0,4413,,Python library for audio and music analysis.,84.0,28,True,2020-07-22 01:34:55.000000,0.8.0,28.0,librosa,conda-forge/librosa,,,,12132.0,10382.0,https://pypi.org/project/librosa,2020-07-22 01:34:55.000000,1750.0,579220.0,583960.0,https://anaconda.org/conda-forge/librosa,2020-07-22 10:27:18.402000,270213.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n183,DEAP,deap/deap,,distributed-ml,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39.000000,2021-04-01 13:30:26.000000,2020-12-25 17:33:18.000000,877,207.0,227.0,4160,2147.0,Distributed Evolutionary Algorithms in Python.,67.0,28,False,2020-01-21 01:18:06.000000,1.3.1,16.0,deap,conda-forge/deap,,,,2230.0,1748.0,https://pypi.org/project/deap,2020-01-21 01:18:06.000000,482.0,120015.0,122158.0,https://anaconda.org/conda-forge/deap,2021-01-13 14:43:13.393000,124347.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n184,Kornia,kornia/kornia,,image,https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000000,2021-04-15 10:11:52.000000,2021-04-12 10:06:23.000000,374,93.0,299.0,3849,1541.0,Open Source Differentiable Computer Vision Library for PyTorch.,93.0,28,True,2021-03-17 09:10:52.000000,0.5.0,13.0,kornia,,,,['pytorch'],332.0,332.0,https://pypi.org/project/kornia,2021-03-17 09:10:52.000000,0.0,37020.0,37020.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n185,imutils,jrosebr1/imutils,,image,https://github.com/jrosebr1/imutils,https://github.com/jrosebr1/imutils,MIT,2015-01-11 20:05:39.000000,2021-03-23 17:44:24.000000,2021-01-15 10:46:45.000000,891,134.0,76.0,3615,138.0,\"A series of convenience functions to make basic image processing operations such as translation, rotation, resizing,..\",20.0,28,True,2021-01-15 10:53:17.000000,0.5.4,29.0,imutils,conda-forge/imutils,,,,14845.0,13649.0,https://pypi.org/project/imutils,2021-01-15 10:53:17.000000,1196.0,225526.0,227615.0,https://anaconda.org/conda-forge/imutils,2021-01-15 14:27:25.471000,45972.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n186,dyNET,clab/dynet,,ml-frameworks,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21.000000,2021-03-18 20:24:39.000000,2021-01-27 15:43:03.000000,703,259.0,661.0,3210,3267.0,DyNet: The Dynamic Neural Network Toolkit.,156.0,28,True,2020-10-21 14:31:01.000000,2.1.2,24.0,dyNET,,,,,211.0,173.0,https://pypi.org/project/dyNET,2020-10-21 14:31:01.000000,38.0,18414.0,18461.0,,,,,,,,3.0,2542.0,,,,,,,,,,,,,,,,,,,,,\n187,PyCaret,pycaret/pycaret,,ml-experiments,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000000,2021-04-15 14:53:30.000000,2021-04-09 15:25:51.000000,680,203.0,608.0,3202,1711.0,\"An open-source, low-code machine learning library in Python.\",48.0,28,True,2021-02-21 19:03:52.000000,2.3.0,69.0,pycaret,,,,,802.0,802.0,https://pypi.org/project/pycaret,2021-02-21 19:03:52.000000,0.0,54579.0,54621.0,,,,,,,,2.0,380.0,,,,,,,,,,,,,,,,,,,,,\n188,Dagster,dagster-io/dagster,,data-pipelines,https://github.com/dagster-io/dagster,https://github.com/dagster-io/dagster,Apache-2.0,2018-04-30 16:30:04.000000,2021-04-15 15:10:09.000000,2021-04-15 14:52:05.000000,332,569.0,2246.0,3126,7283.0,\"A data orchestrator for machine learning, analytics, and ETL.\",129.0,28,True,2021-04-08 23:46:53.000000,0.11.4,253.0,dagster,conda-forge/dagster,,,,160.0,156.0,https://pypi.org/project/dagster,2021-04-08 23:25:10.000000,4.0,53282.0,65334.0,https://anaconda.org/conda-forge/dagster,2021-04-10 20:23:11.517000,204895.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n189,Blaze,blaze/blaze,,data-containers,https://github.com/blaze/blaze,https://github.com/blaze/blaze,BSD-3-Clause,2012-10-26 14:25:22.000000,2020-02-01 19:33:09.000000,2019-08-15 21:14:59.000000,373,262.0,500.0,2942,7496.0,NumPy and Pandas interface to Big Data.,64.0,28,False,2016-07-19 20:40:03.000000,0.11.0,14.0,blaze,conda-forge/blaze,,,,9219.0,7597.0,https://pypi.org/project/blaze,2016-05-06 21:19:21.000000,1622.0,10717.0,15038.0,https://anaconda.org/conda-forge/blaze,2018-07-15 22:16:17.685000,190157.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n190,phonenumbers,daviddrysdale/python-phonenumbers,,nlp,https://github.com/daviddrysdale/python-phonenumbers,https://github.com/daviddrysdale/python-phonenumbers,Apache-2.0,2011-04-21 03:06:38.000000,2021-04-07 16:25:13.000000,2021-04-07 16:18:13.000000,337,3.0,119.0,2675,,Python port of Google's libphonenumber.,22.0,28,True,2021-04-07 16:25:13.000000,8.12.21,172.0,phonenumbers,conda-forge/phonenumbers,,,,2280.0,,https://pypi.org/project/phonenumbers,2021-04-07 16:25:13.000000,2280.0,1676943.0,1683886.0,https://anaconda.org/conda-forge/phonenumbers,2019-08-04 21:19:59.322000,402714.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n191,plotnine,has2k1/plotnine,,data-viz,https://github.com/has2k1/plotnine,https://github.com/has2k1/plotnine,GPL-2.0,2017-04-24 19:00:44.000000,2021-04-11 17:42:30.000000,2021-03-24 15:13:47.000000,137,61.0,365.0,2660,1686.0,A grammar of graphics for Python.,82.0,28,False,2021-03-25 12:57:10.000000,0.8.0,11.0,plotnine,conda-forge/plotnine,,,,2029.0,1775.0,https://pypi.org/project/plotnine,2021-03-25 10:49:20.000000,254.0,171747.0,173912.0,https://anaconda.org/conda-forge/plotnine,2021-03-25 12:31:04.423000,101762.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n192,datashader,holoviz/datashader,,data-viz,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000000,2021-04-13 11:40:15.000000,2021-04-13 11:40:15.000000,318,125.0,345.0,2467,1287.0,Quickly and accurately render even the largest data.,43.0,28,True,2021-03-22 15:23:27.000000,0.12.1,23.0,datashader,conda-forge/datashader,,,,712.0,642.0,https://pypi.org/project/datashader,2021-03-16 18:44:57.000000,70.0,28176.0,32225.0,https://anaconda.org/conda-forge/datashader,2021-04-13 11:22:49.633000,166044.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n193,sklearn-pandas,scikit-learn-contrib/sklearn-pandas,,data-containers,https://github.com/scikit-learn-contrib/sklearn-pandas,https://github.com/scikit-learn-contrib/sklearn-pandas,Zlib,2013-04-22 22:55:20.000000,2021-02-27 07:31:07.000000,2021-02-27 07:31:07.000000,392,31.0,120.0,2387,284.0,Pandas integration with sklearn.,37.0,28,False,2021-02-27 06:52:07.000000,2.1.0,26.0,sklearn-pandas,,,,\"['sklearn', 'pandas']\",2255.0,2033.0,https://pypi.org/project/sklearn-pandas,2021-02-27 06:52:07.000000,222.0,234819.0,234819.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n194,Keras Tuner,keras-team/keras-tuner,,hyperopt,https://github.com/keras-team/keras-tuner,https://github.com/keras-team/keras-tuner,Apache-2.0,2019-06-06 22:38:21.000000,2021-04-08 21:21:19.000000,2021-04-06 21:39:45.000000,270,145.0,155.0,2287,810.0,Hyperparameter tuning for humans.,35.0,28,True,2020-11-20 19:13:23.000000,1.0.2,5.0,keras-tuner,,,,['tensorflow'],503.0,499.0,https://pypi.org/project/keras-tuner,2020-11-20 19:00:59.000000,4.0,330805.0,330805.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n195,Cufflinks,santosjorge/cufflinks,,data-viz,https://github.com/santosjorge/cufflinks,https://github.com/santosjorge/cufflinks,MIT,2014-11-19 20:59:33.000000,2021-02-25 05:05:09.000000,2021-02-25 05:05:09.000000,535,81.0,121.0,2140,452.0,Productivity Tools for Plotly + Pandas.,38.0,28,True,2020-03-01 17:42:01.000000,0.17.3,27.0,cufflinks,,,,['pandas'],3330.0,3096.0,https://pypi.org/project/cufflinks,2020-03-01 17:42:01.000000,234.0,109810.0,109810.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n196,ta,bukosabino/ta,,financial-data,https://github.com/bukosabino/ta,https://github.com/bukosabino/ta,MIT,2018-01-02 18:08:48.000000,2021-04-11 20:31:36.000000,2020-11-29 21:08:14.000000,499,72.0,86.0,2030,582.0,Technical Analysis Library using Pandas and Numpy.,23.0,28,True,2020-11-29 10:49:09.000000,0.7.0,49.0,ta,,,,,508.0,496.0,https://pypi.org/project/ta,2020-11-29 10:49:09.000000,12.0,61089.0,61089.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n197,TF-Agents,tensorflow/agents,,reinforcement-learning,https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000000,2021-04-14 22:19:03.000000,2021-04-14 22:18:43.000000,491,112.0,335.0,1866,1688.0,\"TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.\",88.0,28,True,2021-01-05 18:41:58.000000,0.7.1,18.0,tf-agents,,,,['tensorflow'],440.0,428.0,https://pypi.org/project/tf-agents,2021-01-05 18:41:58.000000,12.0,16711.0,16711.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n198,textacy,chartbeat-labs/textacy,,nlp,https://github.com/chartbeat-labs/textacy,https://github.com/chartbeat-labs/textacy,Apache-2.0,2016-02-03 16:52:45.000000,2021-04-13 18:57:20.207000,2021-04-13 16:20:26.000000,226,28.0,202.0,1645,1608.0,\"NLP, before and after spaCy.\",30.0,28,True,2021-04-12 15:49:48.000000,0.11.0,30.0,textacy,conda-forge/textacy,,,,154.0,,https://pypi.org/project/textacy,2021-04-12 15:49:48.000000,154.0,146851.0,148616.0,https://anaconda.org/conda-forge/textacy,2021-04-13 18:57:20.207000,82959.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n199,Flax,google/flax,,ml-frameworks,https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000000,2021-04-15 14:00:10.000000,2021-04-15 13:55:45.000000,190,146.0,191.0,1619,1886.0,Flax is a neural network ecosystem for JAX that is designed for flexibility.,83.0,28,True,2021-03-31 14:19:21.000000,0.3.3,12.0,flax,,,,['jax'],139.0,133.0,https://pypi.org/project/flax,2021-03-31 14:19:21.000000,6.0,85209.0,85210.0,,,,,,,,3.0,23.0,,,,,,,,,,,,,,,,,,,,,\n200,Cartopy,mapbox/rasterio,,geospatial-data,https://github.com/mapbox/rasterio,https://github.com/mapbox/rasterio,LGPL-3.0,2013-11-04 16:36:27.000000,2021-04-13 19:52:46.000000,2021-04-12 18:47:35.000000,399,139.0,1235.0,1473,3300.0,Rasterio reads and writes geospatial raster datasets.,107.0,28,False,2020-05-04 03:02:47.000000,0.18.0,20.0,Cartopy,conda-forge/cartopy,,,,3358.0,3012.0,https://pypi.org/project/Cartopy,2021-03-12 15:15:57.000000,346.0,56552.0,80984.0,https://anaconda.org/conda-forge/cartopy,2021-03-04 22:18:05.063000,1489801.0,,,,,3.0,705.0,,,,,,,,,,,,,,,,,,,,,\n201,igraph,igraph/python-igraph,,graph,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16.000000,2021-04-15 13:28:46.335000,2021-04-09 07:44:01.000000,184,23.0,275.0,805,1674.0,Python interface for igraph.,50.0,28,False,2021-03-26 10:08:11.000000,0.9.1,20.0,python-igraph,conda-forge/igraph,,,,2001.0,1577.0,https://pypi.org/project/python-igraph,2021-03-26 10:09:48.000000,424.0,93548.0,99836.0,https://anaconda.org/conda-forge/igraph,2021-04-15 13:28:46.335000,211447.0,,,,,1.0,111414.0,,,,,,,,,,,,,,,,,,,,,\n202,geojson,jazzband/geojson,,geospatial-data,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48.000000,2021-03-21 16:52:10.000000,2021-03-21 16:52:09.000000,85,20.0,52.0,616,448.0,Python bindings and utilities for GeoJSON.,44.0,28,True,2019-08-09 20:32:15.000000,2.5.0,28.0,geojson,conda-forge/geojson,,,,8139.0,6305.0,https://pypi.org/project/geojson,2019-08-09 20:32:15.000000,1834.0,724379.0,730767.0,https://anaconda.org/conda-forge/geojson,2019-08-11 12:10:34.426000,389693.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n203,DIPY,dipy/dipy,,medical-data,https://github.com/dipy/dipy,https://github.com/dipy/dipy,BSD-3-Clause,2010-02-06 11:43:08.000000,2021-04-14 15:22:28.000000,2021-04-09 03:55:02.000000,313,156.0,602.0,424,11475.0,\"DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal..\",118.0,28,True,2020-11-05 17:35:53.000000,1.3.0,22.0,dipy,conda-forge/dipy,,,,447.0,353.0,https://pypi.org/project/dipy,2021-03-14 14:05:15.000000,94.0,14687.0,18181.0,https://anaconda.org/conda-forge/dipy,2021-03-14 18:36:59.155000,206195.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n204,Cython BLIS,explosion/cython-blis,,others,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16.000000,2021-03-15 19:42:45.000000,2021-03-15 19:42:37.000000,25,6.0,16.0,167,526.0,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,9.0,28,True,2020-12-07 08:56:44.000000,0.7.4,35.0,blis,conda-forge/cython-blis,,,,9954.0,9564.0,https://pypi.org/project/blis,2020-12-07 08:56:44.000000,390.0,1759447.0,1781748.0,https://anaconda.org/conda-forge/cython-blis,2021-01-31 09:13:47.685000,557539.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n205,Streamlit,streamlit/streamlit,,others,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000000,2021-04-15 12:57:32.000000,2021-04-14 16:37:08.000000,1200,497.0,1184.0,14178,,Streamlit The fastest way to build data apps in Python.,98.0,27,True,2021-03-18 01:21:33.000000,0.79.0,128.0,streamlit,,,,,108.0,74.0,https://pypi.org/project/streamlit,2021-04-08 23:05:58.000000,34.0,239793.0,239793.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n206,baselines,openai/baselines,,reinforcement-learning,https://github.com/openai/baselines,https://github.com/openai/baselines,MIT,2017-05-24 01:58:13.000000,2021-02-21 12:16:56.000000,2020-01-31 13:06:18.000000,3915,454.0,426.0,11386,347.0,OpenAI Baselines: high-quality implementations of reinforcement learning algorithms.,114.0,27,False,2018-02-26 17:07:07.000000,0.1.5,6.0,baselines,,,,,372.0,298.0,https://pypi.org/project/baselines,2018-02-26 17:07:07.000000,74.0,6213.0,6213.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n207,EasyOCR,JaidedAI/EasyOCR,,ocr,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000000,2021-04-05 16:54:56.000000,2021-04-05 16:54:00.000000,1201,118.0,183.0,11208,397.0,\"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..\",77.0,27,True,2021-03-21 09:44:54.000000,1.3,21.0,easyocr,,,,,186.0,186.0,https://pypi.org/project/easyocr,2021-03-21 10:29:27.000000,0.0,16904.0,41046.0,,,,,,,,1.0,241422.0,,,,,,,,,,,,,,,,,,,,,\n208,NNI,microsoft/nni,,hyperopt,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44.000000,2021-04-15 11:29:02.000000,2021-04-09 14:09:51.000000,1269,286.0,931.0,9461,2023.0,\"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..\",126.0,27,True,2021-03-10 12:14:49.000000,2.1,39.0,nni,,,,,117.0,101.0,https://pypi.org/project/nni,2021-03-10 11:53:09.000000,16.0,3613.0,3613.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n209,pretrainedmodels,Cadene/pretrained-models.pytorch,,pytorch-utils,https://github.com/Cadene/pretrained-models.pytorch,https://github.com/Cadene/pretrained-models.pytorch,BSD-3-Clause,2017-04-09 15:54:23.000000,2020-06-08 16:06:59.000000,2020-04-16 08:02:22.000000,1655,88.0,88.0,7872,154.0,\"Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.\",22.0,27,True,2018-10-29 08:18:45.000000,0.7.4,16.0,pretrainedmodels,,,,['pytorch'],1070.0,966.0,https://pypi.org/project/pretrainedmodels,2018-10-29 08:18:45.000000,104.0,45658.0,45658.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n210,dgl,dmlc/dgl,,graph,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000000,2021-04-15 13:13:42.000000,2021-04-15 08:10:29.000000,1459,242.0,778.0,7087,1661.0,\"Python package built to ease deep learning on graph, on top of existing DL frameworks.\",122.0,27,True,2021-04-08 03:22:48.000000,0.6.1,411.0,dgl,,,,,30.0,,https://pypi.org/project/dgl,2021-04-14 09:47:47.000000,30.0,37756.0,37756.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n211,TensorLayer,tensorlayer/tensorlayer,,reinforcement-learning,https://github.com/tensorlayer/tensorlayer,https://github.com/tensorlayer/tensorlayer,Apache-2.0,2016-06-07 15:55:16.000000,2021-03-17 01:32:06.000000,2021-03-17 01:32:00.000000,1473,20.0,433.0,6557,3346.0,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,131.0,27,True,2021-01-06 07:16:21.000000,2.2.4,82.0,tensorlayer,,,,['tensorflow'],68.0,,https://pypi.org/project/tensorlayer,2020-06-19 00:53:37.000000,68.0,3604.0,3626.0,,,,,,,,2.0,1257.0,,,,,,,,,,,,,,,,,,,,,\n212,imageai,OlafenwaMoses/ImageAI,,image,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33.000000,2021-04-11 11:19:23.000000,2021-01-05 01:31:12.000000,1706,205.0,411.0,6065,290.0,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,13.0,27,True,2021-01-05 01:26:01.000000,2.1.6,10.0,imageai,,,,,808.0,784.0,https://pypi.org/project/imageai,2021-01-05 01:26:01.000000,24.0,10474.0,26183.0,,,,,,,,2.0,565532.0,,,,,,,,,,,,,,,,,,,,,\n213,EfficientNet-PyTorch,lukemelas/EfficientNet-PyTorch,,pytorch-utils,https://github.com/lukemelas/EfficientNet-PyTorch,https://github.com/lukemelas/EfficientNet-PyTorch,Apache-2.0,2019-05-30 05:24:11.000000,2021-04-15 15:17:23.000000,2021-04-15 15:16:36.000000,1143,109.0,126.0,5790,162.0,A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!).,22.0,27,True,2021-04-15 15:17:23.000000,0.7.1,13.0,efficientnet-pytorch,,,,['pytorch'],14.0,,https://pypi.org/project/efficientnet-pytorch,2021-04-15 15:17:23.000000,14.0,61483.0,94888.0,,,,,,,,1.0,434267.0,2.0,,,,,,,,,,,,,,,,,,,,\n214,tsfresh,blue-yonder/tsfresh,,time-series-data,https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17.000000,2021-04-01 22:52:29.000000,2021-04-01 22:52:29.000000,869,41.0,417.0,5556,398.0,Automatic extraction of relevant features from time series:.,75.0,27,True,2021-03-06 08:49:53.000000,0.18.0,26.0,tsfresh,conda-forge/tsfresh,,,['sklearn'],66.0,,https://pypi.org/project/tsfresh,2020-09-09 21:08:22.000000,66.0,254865.0,255649.0,https://anaconda.org/conda-forge/tsfresh,2021-03-07 06:57:04.012000,32151.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n215,auto-sklearn,automl/auto-sklearn,,hyperopt,https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10.000000,2021-04-15 12:38:15.000000,2021-03-25 12:04:13.000000,995,108.0,606.0,5350,2440.0,Automated Machine Learning with scikit-learn.,64.0,27,True,2021-04-13 13:11:59.000000,0.12.1,30.0,auto-sklearn,,,,['sklearn'],178.0,148.0,https://pypi.org/project/auto-sklearn,2021-03-25 19:32:06.000000,30.0,20052.0,20052.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n216,CleverHans,cleverhans-lab/cleverhans,,adversarial,https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04.000000,2021-04-11 09:17:43.000000,2021-03-31 02:50:27.000000,1250,23.0,416.0,5057,3189.0,\"An adversarial example library for constructing attacks, building defenses, and benchmarking both.\",122.0,27,True,2021-02-01 06:35:42.000000,3.1.0,7.0,cleverhans,,,,['tensorflow'],220.0,204.0,https://pypi.org/project/cleverhans,2018-11-27 17:36:15.000000,16.0,942.0,942.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n217,Datasette,simonw/datasette,,others,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000000,2021-04-12 00:23:33.000000,2021-04-03 03:42:28.000000,273,251.0,780.0,4986,1611.0,An open source multi-tool for exploring and publishing data.,49.0,27,True,2021-03-29 00:43:36.000000,0.56,92.0,datasette,,,,,471.0,401.0,https://pypi.org/project/datasette,2021-03-29 00:49:36.000000,70.0,17759.0,17759.0,,,,,,,,2.0,29.0,,,,,,,,,datasette,,,,,,,,,,,,\n218,PDFMiner,euske/pdfminer,,data-loading,https://github.com/euske/pdfminer,https://github.com/euske/pdfminer,MIT,2010-12-12 12:50:22.000000,2021-02-16 14:43:27.000000,2020-01-18 07:00:32.000000,1043,226.0,40.0,4555,540.0,Python PDF Parser (Not actively maintained). Check out pdfminer.six.,28.0,27,False,,,24.0,pdfminer,conda-forge/pdfminer,,,,3630.0,2164.0,https://pypi.org/project/pdfminer,2019-11-25 12:02:21.000000,1466.0,196955.0,197231.0,https://anaconda.org/conda-forge/pdfminer,2021-02-15 15:07:18.804000,15502.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n219,Tokenizers,huggingface/tokenizers,,nlp,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000000,2021-04-06 20:57:28.000000,2021-04-05 20:47:55.000000,330,96.0,320.0,4444,1451.0,Fast State-of-the-Art Tokenizers optimized for Research and Production.,40.0,27,True,2021-04-05 20:48:25.000000,python-v0.10.2,61.0,tokenizers,conda-forge/tokenizers,,,,31.0,31.0,https://pypi.org/project/tokenizers,2021-04-05 21:14:02.000000,0.0,2160558.0,2165360.0,https://anaconda.org/conda-forge/tokenizers,2021-03-10 20:31:28.913000,43224.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n220,OCRmyPDF,jbarlow83/OCRmyPDF,,ocr,https://github.com/jbarlow83/OCRmyPDF,https://github.com/jbarlow83/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000000,2021-04-14 07:56:07.000000,2021-04-13 21:37:30.000000,437,90.0,597.0,4110,2929.0,\"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.\",53.0,27,True,2021-03-21 19:53:48.000000,11.7.3,166.0,ocrmypdf,,,,,149.0,137.0,https://pypi.org/project/ocrmypdf,2021-04-08 21:34:17.000000,12.0,20933.0,20933.0,,,,,,,,1.0,,,,,,,,,,ocrmypdf,ocrmypdf,,,,,,,,,,,\n221,skorch,skorch-dev/skorch,,ml-frameworks,https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000000,2021-04-13 12:17:25.000000,2021-04-13 12:17:25.000000,283,43.0,328.0,3910,950.0,A scikit-learn compatible neural network library that wraps PyTorch.,39.0,27,True,2021-03-23 15:34:51.000000,0.10.0,13.0,skorch,conda-forge/skorch,,,\"['pytorch', 'sklearn']\",323.0,297.0,https://pypi.org/project/skorch,2021-03-23 15:32:29.000000,26.0,14041.0,21774.0,https://anaconda.org/conda-forge/skorch,2021-03-24 00:24:03.810000,239737.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n222,pyfolio,quantopian/pyfolio,,financial-data,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39.000000,2021-04-04 14:32:26.000000,2020-07-15 13:46:58.000000,1152,129.0,264.0,3686,1184.0,Portfolio and risk analytics in Python.,55.0,27,True,2019-04-15 15:00:21.000000,0.9.2,22.0,pyfolio,conda-forge/pyfolio,,,,281.0,227.0,https://pypi.org/project/pyfolio,2019-04-15 15:00:21.000000,54.0,6629.0,6789.0,https://anaconda.org/conda-forge/pyfolio,2020-05-16 14:11:57.267000,6092.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n223,InterpretML,interpretml/interpret,,interpretability,https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000000,2021-04-14 23:04:21.000000,2021-04-13 22:40:20.000000,446,63.0,122.0,3657,1488.0,Fit interpretable models. Explain blackbox machine learning.,23.0,27,True,2021-01-20 02:12:33.000000,0.2.4,34.0,interpret,,,,['jupyter'],73.0,71.0,https://pypi.org/project/interpret,2021-01-20 02:10:35.000000,2.0,33769.0,33769.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n224,lightfm,lyst/lightfm,,recommender-systems,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00.000000,2021-03-25 21:33:37.000000,2021-02-07 21:16:06.000000,584,79.0,339.0,3563,428.0,\"A Python implementation of LightFM, a hybrid recommendation algorithm.\",44.0,27,True,2020-11-27 19:48:30.000000,1.16,14.0,lightfm,conda-forge/lightfm,,,,488.0,432.0,https://pypi.org/project/lightfm,2020-11-27 19:55:08.000000,56.0,148051.0,150253.0,https://anaconda.org/conda-forge/lightfm,2021-02-07 22:19:58.097000,85882.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n225,Perspective,finos/perspective,,data-viz,https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000000,2021-04-15 04:42:48.000000,2021-04-15 01:42:23.000000,352,78.0,328.0,3316,4387.0,Streaming pivot visualization via WebAssembly.,62.0,27,True,2021-02-24 14:38:08.000000,0.6.1,40.0,perspective-python,,,,['jupyter'],191.0,183.0,https://pypi.org/project/perspective-python,2021-02-24 14:38:08.000000,8.0,1589.0,3454.0,,,,,,,,2.0,,,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2021-02-12 04:20:19.050000,,1865.0,,,,,,,,,,,,,,\n226,Alpha Vantage,RomelTorres/alpha_vantage,,financial-data,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00.000000,2021-02-17 12:42:04.000000,2020-12-21 19:51:57.000000,586,14.0,223.0,3273,497.0,A python wrapper for Alpha Vantage API for financial data.,36.0,27,True,2020-12-21 02:37:29.000000,2.3.1,28.0,alpha_vantage,,,,,202.0,,https://pypi.org/project/alpha_vantage,2018-08-26 18:55:11.000000,202.0,34947.0,34947.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n227,Jina,jina-ai/jina,,ml-frameworks,https://github.com/jina-ai/jina,https://github.com/jina-ai/jina,Apache-2.0,2020-02-13 17:04:44.000000,2021-04-15 11:38:45.882748,2021-04-15 11:24:46.000000,418,77.0,671.0,3021,5158.0,An easier way to build neural search on the cloud.,92.0,27,True,2021-04-11 23:05:43.000000,1.1.5,560.0,jina,,jinaai/jina,,,57.0,57.0,https://pypi.org/project/jina,2021-04-15 07:10:25.000000,,15369.0,31753.0,,,,https://hub.docker.com/r/jinaai/jina,2021-04-15 11:38:45.882748,1.0,229387.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n228,ftfy,LuminosoInsight/python-ftfy,,nlp,https://github.com/LuminosoInsight/python-ftfy,https://github.com/LuminosoInsight/python-ftfy,MIT,2012-08-24 16:14:59.000000,2021-04-13 06:23:52.831000,2021-04-09 15:57:13.000000,102,13.0,100.0,2932,574.0,\"Fixes mojibake and other glitches in Unicode text, after the fact.\",17.0,27,True,2020-02-18 16:42:00.000000,5.6.1,43.0,ftfy,conda-forge/ftfy,,,,3821.0,3061.0,https://pypi.org/project/ftfy,2021-04-09 15:45:54.000000,760.0,773486.0,775555.0,https://anaconda.org/conda-forge/ftfy,2021-04-13 06:23:52.831000,99317.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n229,pomegranate,jmschrei/pomegranate,,probabilistics,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000000,2021-03-29 16:51:20.000000,2021-03-29 16:50:31.000000,481,44.0,555.0,2653,891.0,\"Fast, flexible and easy to use probabilistic modelling in Python.\",62.0,27,True,2021-03-19 08:09:51.000000,0.14.3,65.0,pomegranate,conda-forge/pomegranate,,,,486.0,430.0,https://pypi.org/project/pomegranate,2021-03-29 16:51:20.000000,56.0,47305.0,49833.0,https://anaconda.org/conda-forge/pomegranate,2020-11-01 16:22:04.857000,53098.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n230,Catalyst,catalyst-team/catalyst,,ml-experiments,https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13.000000,2021-04-14 19:03:12.000000,2021-04-14 18:46:39.000000,304,11.0,281.0,2525,1506.0,Accelerated deep learning R&D.,84.0,27,True,2021-03-29 06:20:55.000000,21.03.2,91.0,catalyst,,,,['pytorch'],367.0,329.0,https://pypi.org/project/catalyst,2021-03-29 06:20:04.000000,38.0,14276.0,14276.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n231,eli5,TeamHG-Memex/eli5,,interpretability,https://github.com/TeamHG-Memex/eli5,https://github.com/TeamHG-Memex/eli5,MIT,2016-09-15 01:04:57.000000,2021-01-25 08:24:59.385000,2020-01-22 07:39:36.000000,296,145.0,110.0,2339,1198.0,A library for debugging/inspecting machine learning classifiers and explaining their predictions.,14.0,27,False,2021-01-23 14:25:24.000000,0.11.0,28.0,eli5,conda-forge/eli5,,,,110.0,,https://pypi.org/project/eli5,2021-01-23 14:25:24.000000,110.0,450922.0,452884.0,https://anaconda.org/conda-forge/eli5,2021-01-25 08:24:59.385000,92259.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n232,pygal,Kozea/pygal,,graph,https://github.com/Kozea/pygal,https://github.com/Kozea/pygal,LGPL-3.0,2011-09-23 10:17:50.000000,2021-03-18 13:12:51.000000,2021-03-18 13:12:51.000000,380,164.0,240.0,2339,1014.0,PYthon svg GrAph plotting Library.,70.0,27,False,2017-07-05 09:22:41.000000,2.4.0,74.0,pygal,conda-forge/pygal,,,,1152.0,,https://pypi.org/project/pygal,2020-10-14 13:06:35.000000,1152.0,105191.0,105471.0,https://anaconda.org/conda-forge/pygal,2019-06-04 02:55:56.728000,6165.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n233,implicit,benfred/implicit,,recommender-systems,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000000,2021-03-18 15:42:47.000000,2021-03-13 19:39:55.000000,490,84.0,260.0,2318,304.0,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,29.0,27,True,2020-09-15 22:01:38.000000,0.4.4,34.0,implicit,conda-forge/implicit,,,,438.0,394.0,https://pypi.org/project/implicit,2020-09-15 22:01:38.000000,44.0,63828.0,69595.0,https://anaconda.org/conda-forge/implicit,2020-11-24 06:44:37.378000,224923.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n234,BoTorch,pytorch/botorch,,hyperopt,https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000000,2021-04-14 10:48:40.000000,2021-04-14 05:36:03.000000,196,43.0,135.0,1912,879.0,Bayesian optimization in PyTorch.,53.0,27,True,2021-02-23 21:33:59.000000,0.4.0,16.0,botorch,,,,['pytorch'],109.0,109.0,https://pypi.org/project/botorch,2020-12-08 06:47:25.000000,0.0,65184.0,65184.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n235,Foolbox,bethgelab/foolbox,,adversarial,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48.000000,2021-03-19 11:37:39.000000,2021-03-19 11:36:39.000000,337,54.0,264.0,1859,1645.0,\"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.\",31.0,27,True,2021-02-23 07:09:34.000000,3.3.1,68.0,foolbox,,,,,201.0,183.0,https://pypi.org/project/foolbox,2021-02-23 07:07:53.000000,18.0,3116.0,3116.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n236,PyFunctional,EntilZha/PyFunctional,,data-pipelines,https://github.com/EntilZha/PyFunctional,https://github.com/EntilZha/PyFunctional,MIT,2015-02-05 17:17:51.000000,2021-03-03 14:08:08.000000,2021-03-03 14:08:00.000000,99,3.0,116.0,1836,517.0,Python library for creating data pipelines with chain functional programming.,23.0,27,True,2021-01-12 19:21:07.000000,1.4.3,14.0,pyfunctional,,,,,278.0,278.0,https://pypi.org/project/pyfunctional,2021-01-12 19:14:48.000000,0.0,78890.0,78890.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n237,langid,saffsd/langid.py,,nlp,https://github.com/saffsd/langid.py,https://github.com/saffsd/langid.py,BSD-3-Clause,2011-04-29 00:16:56.000000,2020-01-01 10:49:30.000000,2017-07-15 02:49:17.000000,265,25.0,45.0,1773,242.0,Stand-alone language identification system.,9.0,27,False,2016-04-05 22:34:15.000000,1.1.6,8.0,langid,,,,,907.0,657.0,https://pypi.org/project/langid,2016-04-05 22:34:15.000000,250.0,746010.0,746010.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n238,filterpy,rlabbe/filterpy,,probabilistics,https://github.com/rlabbe/filterpy,https://github.com/rlabbe/filterpy,MIT,2014-07-15 02:15:19.000000,2021-03-02 14:46:47.000000,2021-02-08 17:55:48.000000,416,31.0,150.0,1762,536.0,\"Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman..\",33.0,27,True,2018-10-10 22:38:24.000000,1.4.5,48.0,filterpy,conda-forge/filterpy,,,,1005.0,793.0,https://pypi.org/project/filterpy,2018-10-10 22:38:24.000000,212.0,43053.0,44346.0,https://anaconda.org/conda-forge/filterpy,2020-05-05 21:13:59.073000,59491.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n239,MNE,mne-tools/mne-python,,medical-data,https://github.com/mne-tools/mne-python,https://github.com/mne-tools/mne-python,BSD-3-Clause,2011-01-28 03:31:13.000000,2021-04-15 13:24:14.000000,2021-04-15 13:24:14.000000,904,333.0,3283.0,1570,,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,257.0,27,True,2021-04-02 17:25:09.000000,0.22.1,51.0,mne,conda-forge/mne,,,,1111.0,913.0,https://pypi.org/project/mne,2021-04-02 17:25:09.000000,198.0,45431.0,47904.0,https://anaconda.org/conda-forge/mne,2021-04-02 19:31:24.897000,123664.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n240,datasketch,ekzhu/datasketch,,data-containers,https://github.com/ekzhu/datasketch,https://github.com/ekzhu/datasketch,MIT,2015-03-20 01:21:46.000000,2021-02-24 19:51:10.000000,2021-02-24 19:46:37.000000,207,20.0,92.0,1461,194.0,\"MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble.\",17.0,27,True,2020-12-23 21:01:43.000000,1.5.3,75.0,datasketch,,,,,358.0,272.0,https://pypi.org/project/datasketch,2020-12-23 21:01:43.000000,86.0,228911.0,228911.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,,,,\n241,GPflow,GPflow/GPflow,,probabilistics,https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000000,2021-04-15 15:03:53.000000,2021-04-13 16:01:09.000000,389,86.0,607.0,1420,2203.0,Gaussian processes in TensorFlow.,70.0,27,True,2020-12-01 13:12:15.000000,2.1.4,28.0,gpflow,conda-forge/gpflow,,,['tensorflow'],273.0,239.0,https://pypi.org/project/gpflow,2020-12-01 13:12:15.000000,34.0,5273.0,5519.0,https://anaconda.org/conda-forge/gpflow,2018-11-06 08:51:39.744000,8637.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n242,Model Analysis,tensorflow/model-analysis,,interpretability,https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000000,2021-04-14 19:52:55.000000,2021-04-14 19:52:50.000000,212,26.0,37.0,1049,948.0,Model analysis tools for TensorFlow.,35.0,27,True,2021-03-24 22:30:29.000000,0.29.0,36.0,tensorflow-model-analysis,,,,\"['tensorflow', 'jupyter']\",20.0,,https://pypi.org/project/tensorflow-model-analysis,2021-03-24 22:30:29.000000,20.0,6436262.0,6436262.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n243,agate,wireservice/agate,,others,https://github.com/wireservice/agate,https://github.com/wireservice/agate,MIT,2014-04-25 13:59:09.000000,2021-03-10 22:20:57.000000,2021-03-10 22:04:12.000000,133,54.0,588.0,1036,1356.0,A Python data analysis library that is optimized for humans instead of machines.,47.0,27,True,2018-03-11 14:37:30.000000,1.6.1,24.0,agate,conda-forge/agate,,,,782.0,540.0,https://pypi.org/project/agate,2018-03-11 14:37:30.000000,242.0,503984.0,505231.0,https://anaconda.org/conda-forge/agate,2018-08-19 06:02:58.597000,62365.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n244,Mesh,tensorflow/mesh,,distributed-ml,https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34.000000,2021-04-15 06:18:21.000000,2021-04-13 23:15:40.000000,163,79.0,13.0,976,602.0,Mesh TensorFlow: Model Parallelism Made Easier.,41.0,27,True,2021-03-24 19:03:46.000000,0.1.19,25.0,mesh-tensorflow,,,,['tensorflow'],573.0,517.0,https://pypi.org/project/mesh-tensorflow,2021-03-24 19:03:46.000000,56.0,63464.0,63464.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n245,petl,petl-developers/petl,,data-pipelines,https://github.com/petl-developers/petl,https://github.com/petl-developers/petl,MIT,2011-08-19 09:51:03.000000,2021-04-05 21:49:41.242000,2021-03-27 02:58:36.000000,153,68.0,345.0,872,1143.0,Python Extract Transform and Load Tables of Data.,45.0,27,True,2021-03-27 03:06:14.000000,1.7.4,79.0,petl,conda-forge/petl,,http://petl.readthedocs.org,,478.0,364.0,https://pypi.org/project/petl,2021-03-27 03:06:14.000000,114.0,34505.0,34920.0,https://anaconda.org/conda-forge/petl,2021-04-05 21:49:41.242000,22830.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n246,pmdarima,alkaline-ml/pmdarima,,time-series-data,https://github.com/alkaline-ml/pmdarima,https://github.com/alkaline-ml/pmdarima,MIT,2017-03-30 14:58:30.000000,2021-04-10 20:32:53.000000,2021-02-24 12:47:29.000000,160,18.0,212.0,861,1026.0,\"A statistical library designed to fill the void in Python's time series analysis capabilities, including the..\",17.0,27,True,2020-12-02 23:17:04.000000,1.8.0,28.0,pmdarima,,,,,887.0,875.0,https://pypi.org/project/pmdarima,2020-12-02 23:17:04.000000,12.0,412998.0,412998.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n247,PyVista,pyvista/pyvista,,data-viz,https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000000,2021-04-15 14:28:50.000000,2021-04-15 03:20:11.000000,153,134.0,305.0,768,2173.0,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,56.0,27,True,2021-04-14 05:45:14.000000,0.29.1,41.0,pyvista,conda-forge/pyvista,,,['jupyter'],319.0,293.0,https://pypi.org/project/pyvista,2021-04-14 05:45:14.000000,26.0,26480.0,29823.0,https://anaconda.org/conda-forge/pyvista,2021-04-14 12:11:54.123000,76870.0,,,,,2.0,70.0,,,,,,,,,,,,,,,,,,,,,\n248,patsy,pydata/patsy,,probabilistics,https://github.com/pydata/patsy,https://github.com/pydata/patsy,BSD-2-Clause,2012-07-10 12:30:06.000000,2020-09-09 13:00:29.000000,2018-10-31 21:55:48.000000,85,78.0,52.0,743,517.0,Describing statistical models in Python using symbolic formulas.,13.0,27,False,2018-10-28 05:07:55.000000,0.5.1,8.0,patsy,conda-forge/patsy,,,,37628.0,32704.0,https://pypi.org/project/patsy,2018-10-28 03:59:51.000000,4924.0,2706448.0,2757724.0,https://anaconda.org/conda-forge/patsy,2018-10-28 05:21:35.412000,2871480.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n249,zarr,zarr-developers/zarr-python,,data-containers,https://github.com/zarr-developers/zarr-python,https://github.com/zarr-developers/zarr-python,MIT,2015-12-15 14:49:40.000000,2021-04-15 14:51:47.000000,2021-03-09 17:50:32.000000,110,184.0,232.0,674,1389.0,\"An implementation of chunked, compressed, N-dimensional arrays for Python.\",37.0,27,True,2020-12-02 18:33:13.000000,2.6.1,31.0,zarr,conda-forge/zarr,,,,710.0,638.0,https://pypi.org/project/zarr,2020-12-02 18:33:13.000000,72.0,79515.0,91099.0,https://anaconda.org/conda-forge/zarr,2021-03-25 16:00:52.673000,683481.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n250,data-validation,tensorflow/data-validation,,data-viz,https://github.com/tensorflow/data-validation,https://github.com/tensorflow/data-validation,Apache-2.0,2018-07-02 15:47:02.000000,2021-04-14 21:53:35.000000,2021-04-14 21:53:31.000000,95,37.0,82.0,536,608.0,Library for exploring and validating machine learning data.,20.0,27,True,2021-03-24 21:31:52.000000,0.29.0,26.0,tensorflow-data-validation,,,,\"['tensorflow', 'jupyter']\",278.0,260.0,https://pypi.org/project/tensorflow-data-validation,2021-03-24 21:31:52.000000,18.0,6789114.0,6789120.0,,,,,,,,2.0,210.0,,,,,,,,,,,,,,,,,,,,,\n251,TensorFlow I/O,tensorflow/io,,tensorflow-utils,https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05.000000,2021-04-14 15:18:43.000000,2021-04-13 23:49:19.000000,156,125.0,280.0,438,1395.0,\"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.\",73.0,27,True,2020-12-15 00:45:37.000000,0.17.0,21.0,tensorflow-io,,,,['tensorflow'],149.0,149.0,https://pypi.org/project/tensorflow-io,2020-12-15 00:42:35.000000,0.0,116204.0,116204.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n252,audioread,beetbox/audioread,,audio,https://github.com/beetbox/audioread,https://github.com/beetbox/audioread,MIT,2011-11-08 19:53:18.000000,2021-03-16 02:44:53.632000,2020-10-20 11:22:05.000000,83,31.0,44.0,361,232.0,cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python.,20.0,27,True,2020-10-20 11:23:09.000000,2.1.9,25.0,audioread,conda-forge/audioread,,,,5239.0,4653.0,https://pypi.org/project/audioread,2020-10-20 11:23:09.000000,586.0,571215.0,575066.0,https://anaconda.org/conda-forge/audioread,2021-03-16 02:44:53.632000,219556.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n253,CNTK,microsoft/CNTK,,ml-frameworks,https://github.com/microsoft/CNTK,https://github.com/microsoft/CNTK,MIT,2015-11-26 09:52:06.000000,2020-12-09 22:21:57.000000,2020-03-31 15:55:14.000000,4409,836.0,2520.0,16987,16116.0,\"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.\",267.0,26,False,2019-04-26 14:13:32.000000,2.7,32.0,cntk,,,,,34.0,,https://pypi.org/project/cntk,2020-12-09 22:21:57.000000,34.0,2268.0,2484.0,,,,,,,,3.0,13659.0,,,,,,,,,,,,,,,,,,,,,\n254,DeepSpeech,mozilla/DeepSpeech,,audio,https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53.000000,2021-03-31 15:32:56.000000,,3125,103.0,,16952,,\"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..\",93.0,26,True,2020-12-10 17:22:09.000000,0.9.3,100.0,deepspeech,,,,['tensorflow'],58.0,,https://pypi.org/project/deepspeech,2020-12-19 10:05:12.000000,58.0,25023.0,25023.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n255,InsightFace,deepinsight/insightface,,image,https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,MIT,2017-09-01 00:36:51.000000,2021-04-04 01:13:29.000000,2021-03-30 11:06:51.000000,3036,725.0,693.0,8952,1505.0,Face Analysis Project on MXNet and PyTorch.,17.0,26,True,2019-09-07 13:47:11.000000,0.1.5,6.0,insightface,,,,['mxnet'],63.0,61.0,https://pypi.org/project/insightface,2019-09-07 13:47:11.000000,2.0,3029.0,3029.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n256,Ludwig,ludwig-ai/ludwig,,ml-frameworks,https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000000,2021-04-15 02:26:19.000000,2021-04-10 00:59:51.000000,887,116.0,423.0,7644,2094.0,Ludwig is a toolbox that allows to train and evaluate deep learning models without the need to write code.,90.0,26,True,2021-02-01 00:23:30.000000,0.3.3,17.0,ludwig,,,,['tensorflow'],95.0,83.0,https://pypi.org/project/ludwig,2021-02-01 00:16:18.000000,12.0,2004.0,2004.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n257,ParlAI,facebookresearch/ParlAI,,nlp,https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44.000000,2021-04-15 13:46:14.000000,2021-04-15 13:46:13.000000,1475,98.0,880.0,7119,3703.0,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,146.0,26,True,2021-03-17 18:35:13.000000,1.1.1,14.0,parlai,,,,['pytorch'],18.0,18.0,https://pypi.org/project/parlai,2021-03-01 21:11:23.000000,0.0,2579.0,2579.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n258,PySyft,OpenMined/PySyft,,privacy-ml,https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,Apache-2.0,2017-07-18 20:41:16.000000,2021-04-15 13:14:44.000000,2021-04-12 10:08:27.000000,1580,248.0,2589.0,7064,7791.0,A library for answering questions using data you cannot see.,366.0,26,True,2020-11-12 19:57:58.000000,0.3.0,50.0,syft,,,,['pytorch'],6.0,,https://pypi.org/project/syft,2021-04-01 11:31:12.000000,6.0,3405.0,3405.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n259,Facets Overview,pair-code/facets,,data-viz,https://github.com/PAIR-code/facets,https://github.com/PAIR-code/facets,Apache-2.0,2017-07-07 14:03:03.000000,2021-02-04 17:22:42.000000,2021-02-04 17:22:41.000000,834,76.0,76.0,6545,262.0,Visualizations for machine learning datasets.,28.0,26,True,2019-07-24 15:57:06.000000,1.0.0,4.0,facets-overview,,,,['jupyter'],48.0,42.0,https://pypi.org/project/facets-overview,2019-07-24 15:57:06.000000,6.0,129722.0,129722.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n260,backtrader,mementum/backtrader,,financial-data,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52.000000,2021-04-13 19:09:42.000000,2021-02-11 20:51:09.000000,1921,22.0,,6191,2383.0,Python Backtesting library for trading strategies.,51.0,26,False,,,155.0,backtrader,,,,,596.0,526.0,https://pypi.org/project/backtrader,2020-07-03 13:02:14.000000,70.0,23845.0,23845.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n261,PyText,facebookresearch/pytext,,nlp,https://github.com/facebookresearch/pytext,https://github.com/facebookresearch/pytext,BSD-3-Clause,2018-07-31 23:40:46.000000,2021-04-15 11:27:59.000000,2021-04-15 11:27:55.000000,787,131.0,74.0,6158,1532.0,A natural language modeling framework based on PyTorch.,181.0,26,True,2020-06-08 23:30:58.000000,0.3.3,13.0,pytext-nlp,,,,['pytorch'],71.0,70.0,https://pypi.org/project/pytext-nlp,2020-06-08 22:49:33.000000,1.0,1303.0,1311.0,,,,,,,,2.0,224.0,,,,,,,,,,,,,,,,,,,,,\n262,carla,carla-simulator/carla,,others,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000000,2021-04-15 13:30:22.000000,2021-02-16 14:27:47.000000,1689,325.0,2811.0,5826,4760.0,Open-source simulator for autonomous driving research.,122.0,26,True,2020-12-23 07:08:35.000000,0.9.11,22.0,carla,,,,,67.0,63.0,https://pypi.org/project/carla,2019-04-28 17:45:24.000000,4.0,1057.0,1057.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n263,featuretools,alteryx/featuretools,,hyperopt,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17.000000,2021-04-13 17:31:20.000000,2021-04-08 20:32:57.000000,718,114.0,425.0,5511,,An open source python library for automated feature engineering.,49.0,26,True,2021-03-31 23:42:30.000000,0.23.3,70.0,featuretools,conda-forge/featuretools,,,,782.0,712.0,https://pypi.org/project/featuretools,2021-03-31 23:43:45.000000,70.0,204450.0,206244.0,https://anaconda.org/conda-forge/featuretools,2021-04-07 15:01:00.520000,50250.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n264,scikit-surprise,NicolasHug/Surprise,,recommender-systems,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38.000000,2020-10-13 01:22:58.850000,2020-08-05 17:45:59.000000,861,51.0,287.0,4788,622.0,A Python scikit for building and analyzing recommender systems.,38.0,26,True,2020-07-19 14:50:48.000000,1.1.1,9.0,scikit-surprise,conda-forge/scikit-surprise,,,,1037.0,989.0,https://pypi.org/project/scikit-surprise,2020-07-19 14:50:48.000000,48.0,51879.0,56182.0,https://anaconda.org/conda-forge/scikit-surprise,2020-10-13 01:22:58.850000,167836.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n265,PyTorch3D,facebookresearch/pytorch3d,,image,https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,MIT,2019-10-25 02:23:45.000000,2021-04-14 19:52:14.000000,2021-04-14 19:52:09.000000,545,68.0,481.0,4708,410.0,PyTorch3D is FAIR's library of reusable components for deep learning with 3D data.,55.0,26,True,2021-02-09 23:13:45.000000,0.4.0,7.0,pytorch3d,pytorch3d/pytorch3d,,,['pytorch'],67.0,67.0,https://pypi.org/project/pytorch3d,2021-02-09 23:13:45.000000,0.0,8437.0,8958.0,https://anaconda.org/pytorch3d/pytorch3d,2021-02-09 22:34:07.773000,8872.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n266,Metaflow,Netflix/metaflow,,ml-experiments,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000000,2021-04-14 19:18:41.000000,2021-04-02 17:49:27.000000,352,134.0,148.0,4264,197.0,Build and manage real-life data science projects with ease.,29.0,26,True,2021-03-15 19:56:43.000000,2.2.8,17.0,metaflow,conda-forge/metaflow,,,,117.0,115.0,https://pypi.org/project/metaflow,2021-02-09 01:25:56.000000,2.0,55499.0,56398.0,https://anaconda.org/conda-forge/metaflow,2021-03-16 02:30:45.261000,14389.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n267,Lucid,tensorflow/lucid,,interpretability,https://github.com/tensorflow/lucid,https://github.com/tensorflow/lucid,Apache-2.0,2018-01-25 17:41:44.000000,2021-03-19 16:01:00.000000,2021-03-19 15:48:33.000000,592,65.0,96.0,4164,667.0,A collection of infrastructure and tools for research in neural network interpretability.,40.0,26,True,2021-03-19 16:01:00.000000,0.3.10,17.0,lucid,,,,['tensorflow'],552.0,546.0,https://pypi.org/project/lucid,2021-03-19 16:01:00.000000,6.0,1764.0,1764.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n268,pyAudioAnalysis,tyiannak/pyAudioAnalysis,,audio,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13.000000,2021-03-23 21:55:44.000000,2021-03-23 21:55:44.000000,963,165.0,106.0,3864,677.0,\"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.\",23.0,26,True,2020-09-29 21:30:02.000000,0.3.6,15.0,pyAudioAnalysis,,,,,217.0,195.0,https://pypi.org/project/pyAudioAnalysis,2020-09-29 21:30:02.000000,22.0,15795.0,15795.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n269,espnet,espnet/espnet,,audio,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000000,2021-04-15 13:46:11.000000,2021-04-12 22:01:23.000000,1145,165.0,1122.0,3666,11140.0,End-to-End Speech Processing Toolkit.,145.0,26,True,2021-04-07 04:52:16.000000,0.9.9,34.0,espnet,,,,,7.0,7.0,https://pypi.org/project/espnet,2021-04-07 04:52:16.000000,0.0,2407.0,2408.0,,,,,,,,2.0,60.0,,,,,,,,,,,,,,,,,,,,,\n270,yellowbrick,DistrictDataLabs/yellowbrick,,interpretability,https://github.com/DistrictDataLabs/yellowbrick,https://github.com/DistrictDataLabs/yellowbrick,Apache-2.0,2016-05-18 14:12:17.000000,2021-04-15 01:53:16.000000,2021-04-06 11:34:58.000000,478,95.0,530.0,3168,848.0,Visual analysis and diagnostic tools to facilitate machine learning model selection.,97.0,26,True,2021-02-13 20:31:18.000000,1.3.post1,22.0,yellowbrick,,,,['sklearn'],62.0,,https://pypi.org/project/yellowbrick,2021-02-13 20:42:26.000000,62.0,143172.0,143172.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n271,AutoGluon,awslabs/autogluon,,hyperopt,https://github.com/awslabs/autogluon,https://github.com/awslabs/autogluon,Apache-2.0,2019-07-29 18:51:24.000000,2021-04-15 00:41:11.000000,2021-04-15 00:10:22.000000,402,124.0,314.0,3100,573.0,\"AutoGluon: AutoML for Text, Image, and Tabular Data.\",55.0,26,True,2021-03-01 22:07:04.000000,0.1.0,385.0,autogluon,,,,['mxnet'],47.0,47.0,https://pypi.org/project/autogluon,2021-04-14 09:04:41.000000,0.0,32757.0,32757.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n272,Stable Baselines,hill-a/stable-baselines,,reinforcement-learning,https://github.com/hill-a/stable-baselines,https://github.com/hill-a/stable-baselines,MIT,2018-07-02 14:28:59.000000,2021-04-06 12:37:09.000000,2020-12-23 16:27:08.000000,604,128.0,745.0,3078,835.0,\"A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.\",110.0,26,True,2021-04-06 12:37:09.000000,2.10.2,31.0,stable-baselines,,,,,50.0,,https://pypi.org/project/stable-baselines,2021-04-06 12:37:09.000000,50.0,14842.0,14842.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n273,pytorch-summary,sksq96/pytorch-summary,,pytorch-utils,https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04.000000,2021-03-11 12:50:20.000000,2020-08-07 01:16:40.000000,360,116.0,36.0,3044,56.0,Model summary in PyTorch similar to `model.summary()` in Keras.,11.0,26,True,2018-09-26 05:07:28.000000,1.5.1,12.0,torchsummary,,,,['pytorch'],2380.0,2262.0,https://pypi.org/project/torchsummary,2018-09-26 05:07:28.000000,118.0,74603.0,74603.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n274,Hub,activeloopai/Hub,,data-pipelines,https://github.com/activeloopai/Hub,https://github.com/activeloopai/Hub,MPL-2.0,2019-08-09 06:17:59.000000,2021-04-15 13:53:34.000000,2021-04-14 08:51:06.000000,226,24.0,228.0,3010,2067.0,Fastest unstructured dataset management for TensorFlow/PyTorch. Stream data real-time & version-control it...,75.0,26,True,2021-04-09 07:56:44.000000,1.3.3,87.0,hub,,,,\"['tensorflow', 'pytorch']\",176.0,124.0,https://pypi.org/project/hub,2021-04-06 15:03:12.000000,52.0,3080.0,3080.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n275,textract,deanmalmgren/textract,,data-loading,https://github.com/deanmalmgren/textract,https://github.com/deanmalmgren/textract,MIT,2014-07-03 20:36:59.000000,2021-04-05 14:04:11.000000,2019-11-14 08:37:39.000000,424,84.0,121.0,2986,556.0,extract text from any document. no muss. no fuss.,30.0,26,False,2019-08-26 15:05:53.000000,1.6.3,15.0,textract,conda-forge/textract,,,,192.0,,https://pypi.org/project/textract,2019-08-26 15:05:53.000000,192.0,43441.0,43640.0,https://anaconda.org/conda-forge/textract,2017-03-20 21:15:33.254000,10975.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n276,vaderSentiment,cjhutto/vaderSentiment,,nlp,https://github.com/cjhutto/vaderSentiment,https://github.com/cjhutto/vaderSentiment,MIT,2014-11-17 16:31:45.000000,2021-03-15 18:43:06.000000,2021-03-15 18:43:06.000000,762,31.0,74.0,2926,127.0,VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based..,10.0,26,True,2020-05-22 15:07:00.000000,3.3.2,15.0,vadersentiment,,,,,2779.0,2493.0,https://pypi.org/project/vadersentiment,2020-05-22 15:07:00.000000,286.0,156127.0,156127.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n277,TensorForce,tensorforce/tensorforce,,reinforcement-learning,https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22.000000,2021-04-10 19:21:00.000000,2021-04-10 19:20:55.000000,495,11.0,552.0,2912,2031.0,Tensorforce: a TensorFlow library for applied reinforcement learning.,76.0,26,True,2021-03-22 21:45:44.000000,0.6.3,12.0,tensorforce,,,,['tensorflow'],46.0,,https://pypi.org/project/tensorforce,2019-09-07 13:56:18.000000,46.0,1565.0,1565.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n278,nevergrad,facebookresearch/nevergrad,,hyperopt,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000000,2021-04-15 14:44:25.000000,2021-04-15 08:52:45.000000,278,83.0,127.0,2903,811.0,A Python toolbox for performing gradient-free optimization.,42.0,26,True,2021-01-28 12:05:40.000000,0.4.3,29.0,nevergrad,conda-forge/nevergrad,,,,167.0,153.0,https://pypi.org/project/nevergrad,2021-04-08 10:20:47.000000,14.0,32164.0,32804.0,https://anaconda.org/conda-forge/nevergrad,2020-12-14 18:21:29.267000,7689.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n279,DeepChem,deepchem/deepchem,,others,https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000000,2021-04-15 10:07:33.000000,2021-04-13 23:01:15.000000,963,362.0,876.0,2878,6360.0,\"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.\",156.0,26,True,2021-03-18 03:10:52.000000,2.5.0,242.0,deepchem,,,,['tensorflow'],42.0,38.0,https://pypi.org/project/deepchem,2021-04-13 05:48:27.000000,4.0,6946.0,6946.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n280,missingno,ResidentMario/missingno,,data-viz,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50.000000,2020-12-28 16:13:39.000000,2020-12-28 16:13:38.000000,353,19.0,88.0,2739,170.0,Missing data visualization module for Python.,15.0,26,True,2019-07-09 16:05:14.000000,0.4.2,22.0,missingno,conda-forge/missingno,,,,3527.0,3375.0,https://pypi.org/project/missingno,2019-07-09 16:05:14.000000,152.0,326819.0,328709.0,https://anaconda.org/conda-forge/missingno,2020-02-15 10:07:41.253000,85063.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n281,ClearML,allegroai/clearml,,ml-experiments,https://github.com/allegroai/clearml,https://github.com/allegroai/clearml,Apache-2.0,2019-06-10 08:18:32.000000,2021-04-14 21:08:41.000000,2021-04-14 21:08:16.000000,340,72.0,211.0,2349,1123.0,\"ClearML - Auto-Magical Suite of tools to streamline your ML workflow. Experiment Manager, ML-Ops and Data-Management.\",28.0,26,True,2021-03-16 14:57:31.000000,0.17.5,40.0,clearml,,allegroai/trains,,,28.0,28.0,https://pypi.org/project/clearml,2021-04-11 22:23:08.000000,0.0,20401.0,21779.0,,,,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,30033.0,2.0,300.0,,,,,,,,,,,,,,,,,,,,,\n282,gpustat,wookayin/gpustat,,gpu-utilities,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43.000000,2021-03-23 06:32:48.000000,2021-03-23 06:32:48.000000,195,19.0,49.0,2312,168.0,A simple command-line utility for querying and monitoring GPU status.,12.0,26,True,2019-07-22 06:37:00.000000,0.6.0,11.0,gpustat,conda-forge/gpustat,,,,825.0,767.0,https://pypi.org/project/gpustat,2021-01-02 05:59:41.000000,58.0,370999.0,372726.0,https://anaconda.org/conda-forge/gpustat,2020-11-24 19:59:04.772000,43197.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n283,Captum,pytorch/captum,,interpretability,https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000000,2021-04-14 19:27:11.000000,2021-04-14 19:27:07.000000,227,49.0,168.0,2272,803.0,Model interpretability and understanding for PyTorch.,70.0,26,True,2021-01-23 18:11:12.000000,0.3.1,5.0,captum,,,,['pytorch'],149.0,149.0,https://pypi.org/project/captum,2021-01-22 20:55:47.000000,0.0,17300.0,17300.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n284,GluonNLP,dmlc/gluon-nlp,,nlp,https://github.com/dmlc/gluon-nlp,https://github.com/dmlc/gluon-nlp,Apache-2.0,2018-04-04 20:57:13.000000,2021-04-15 04:56:23.000000,2021-04-14 23:14:38.000000,508,252.0,289.0,2259,829.0,\"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..\",81.0,26,True,2020-08-13 19:17:42.000000,0.10.0,26.0,gluonnlp,,,,['mxnet'],467.0,445.0,https://pypi.org/project/gluonnlp,2020-08-13 19:17:42.000000,22.0,45944.0,45944.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n285,Core ML Tools,apple/coremltools,,model-serialisation,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000000,2021-04-09 19:43:53.000000,2021-04-09 19:43:53.000000,358,345.0,349.0,2177,869.0,\"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.\",112.0,26,True,2021-02-05 02:07:15.000000,4.1,28.0,coremltools,,,,,766.0,500.0,https://pypi.org/project/coremltools,2021-02-05 01:28:44.000000,266.0,58124.0,58183.0,,,,,,,,1.0,2562.0,,,,,,,,,,,,,,,,,,,,,\n286,aubio,aubio/aubio,,audio,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44.000000,2021-04-13 18:12:28.000000,2021-01-19 09:51:49.000000,307,114.0,174.0,2086,4111.0,a library for audio and music analysis.,24.0,26,False,2019-02-27 09:00:43.000000,0.4.9,10.0,aubio,conda-forge/aubio,,,,253.0,217.0,https://pypi.org/project/aubio,2019-02-08 11:21:02.000000,36.0,2999.0,11361.0,https://anaconda.org/conda-forge/aubio,2021-01-19 16:59:52.641000,409759.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n287,scikit-plot,reiinakano/scikit-plot,,interpretability,https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59.000000,2021-02-26 14:37:45.000000,2018-08-19 12:37:47.000000,248,21.0,39.0,2062,130.0,An intuitive library to add plotting functionality to scikit-learn objects.,13.0,26,False,2018-08-19 12:21:01.000000,0.3.7,27.0,scikit-plot,conda-forge/scikit-plot,,,['sklearn'],919.0,865.0,https://pypi.org/project/scikit-plot,2018-08-19 12:18:46.000000,54.0,135918.0,137831.0,https://anaconda.org/conda-forge/scikit-plot,2019-06-05 14:23:59.043000,86114.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n288,spark-nlp,JohnSnowLabs/spark-nlp,,nlp,https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000000,2021-04-15 13:42:37.000000,2021-04-13 17:50:31.000000,431,74.0,382.0,2059,7813.0,State of the Art Natural Language Processing.,83.0,26,True,2021-04-02 15:27:53.000000,3.0.1,82.0,spark-nlp,,,,['spark'],0.0,,https://pypi.org/project/spark-nlp,2021-04-02 09:10:50.000000,0.0,684863.0,684863.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n289,facenet-pytorch,timesler/facenet-pytorch,,image,https://github.com/timesler/facenet-pytorch,https://github.com/timesler/facenet-pytorch,MIT,2019-05-25 01:29:24.000000,2021-04-07 10:55:02.000000,2021-04-01 03:10:16.000000,428,33.0,86.0,1989,231.0,Pretrained Pytorch face detection (MTCNN) and recognition (InceptionResnet) models.,12.0,26,True,2021-03-10 01:00:20.000000,2.5.2,31.0,facenet-pytorch,,,,['pytorch'],334.0,328.0,https://pypi.org/project/facenet-pytorch,2021-03-10 01:00:20.000000,6.0,18032.0,22706.0,,,,,,,,2.0,79461.0,,,,,,,,,,,,,,,,,,,,,\n290,ipyparallel,ipython/ipyparallel,,distributed-ml,https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,BSD-3-Clause,2015-04-09 07:43:55.000000,2021-04-14 09:55:48.000000,2021-04-14 09:55:48.000000,768,146.0,107.0,1934,,Interactive Parallel Computing in Python.,97.0,26,True,2020-05-05 18:42:38.000000,6.3.0,21.0,ipyparallel,conda-forge/ipyparallel,,,['jupyter'],1977.0,1487.0,https://pypi.org/project/ipyparallel,2020-05-05 18:42:38.000000,490.0,128538.0,135494.0,https://anaconda.org/conda-forge/ipyparallel,2021-01-22 17:12:52.539000,417404.0,,,,,2.0,,-3.0,,,,,,,,,,,,,,,,,,,,\n291,TorchServe,pytorch/serve,,model-serialisation,https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000000,2021-04-15 03:01:13.000000,2021-03-22 16:40:38.000000,262,160.0,425.0,1702,1170.0,Model Serving on PyTorch.,64.0,26,True,2021-03-15 22:31:02.000000,0.3.1,7.0,torchserve,pytorch/torchserve,pytorch/torchserve,,['pytorch'],37.0,37.0,https://pypi.org/project/torchserve,2021-03-15 21:14:14.000000,0.0,8886.0,12688.0,https://anaconda.org/pytorch/torchserve,2021-03-18 18:37:54.539000,7720.0,https://hub.docker.com/r/pytorch/torchserve,2020-12-18 18:32:51.570336,3.0,56559.0,1.0,205.0,,,,,,,,,,,,,,,,,,,,,\n292,haystack,deepset-ai/haystack,,nlp,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000000,2021-04-15 10:26:35.000000,2021-04-15 10:26:34.000000,311,75.0,481.0,1645,596.0,End-to-end Python framework for building natural language search interfaces to data. Leverages Transformers and the..,43.0,26,True,2021-04-13 15:04:29.000000,0.8.0,34.0,haystack,,,,,209.0,43.0,https://pypi.org/project/haystack,2017-07-03 04:44:52.000000,166.0,1716.0,1716.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n293,Pythran,serge-sans-paille/pythran,,others,https://github.com/serge-sans-paille/pythran,https://github.com/serge-sans-paille/pythran,BSD-3-Clause,2012-05-29 08:02:14.000000,2021-04-15 06:44:15.000000,2021-04-15 06:44:15.000000,139,104.0,561.0,1525,3349.0,Ahead of Time compiler for numeric kernels.,52.0,26,True,2021-03-31 17:17:15.000000,0.9.9,46.0,pythran,conda-forge/pythran,,,,77.0,51.0,https://pypi.org/project/pythran,2021-03-31 17:17:15.000000,26.0,10497.0,14621.0,https://anaconda.org/conda-forge/pythran,2021-04-01 20:02:42.397000,144351.0,,,,,2.0,,,,,,,,,,,,,,,pythran,python-pythran,,,,,,\n294,Ax,facebook/Ax,,hyperopt,https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000000,2021-04-15 06:07:07.000000,2021-04-15 00:19:17.000000,149,42.0,200.0,1467,1081.0,Adaptive Experimentation Platform.,96.0,26,True,2021-02-24 16:59:13.000000,0.1.20,21.0,ax-platform,,,,['pytorch'],157.0,153.0,https://pypi.org/project/ax-platform,2021-02-24 16:59:13.000000,4.0,48827.0,48827.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n295,hnswlib,nmslib/hnswlib,,nn-search,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000000,2021-04-05 05:31:31.000000,2021-02-04 04:34:33.000000,263,91.0,108.0,1448,275.0,Header-only C++/python library for fast approximate nearest neighbors.,41.0,26,True,2021-02-04 04:55:19.000000,0.5.1,5.0,hnswlib,,,,,110.0,108.0,https://pypi.org/project/hnswlib,2021-02-04 04:55:19.000000,2.0,32832.0,32832.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n296,jellyfish,jamesturk/jellyfish,,nlp,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,BSD-2-Clause,2010-07-09 20:41:11.000000,2021-03-16 05:35:41.000000,2021-03-11 19:15:57.000000,128,12.0,88.0,1433,,a python library for doing approximate and phonetic matching of strings.,21.0,26,True,2020-05-21 20:37:01.000000,0.8.2,27.0,jellyfish,conda-forge/jellyfish,,,,2924.0,2278.0,https://pypi.org/project/jellyfish,2020-05-21 20:37:01.000000,646.0,1417885.0,1420096.0,https://anaconda.org/conda-forge/jellyfish,2021-01-08 15:04:47.681000,121616.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n297,tesserocr,sirfz/tesserocr,,ocr,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36.000000,2021-03-27 15:02:05.000000,2021-03-23 20:36:58.000000,201,63.0,147.0,1430,157.0,A Python wrapper for the tesseract-ocr API.,24.0,26,True,2020-03-17 17:45:44.000000,2.5.1,15.0,tesserocr,conda-forge/tesserocr,,,,584.0,484.0,https://pypi.org/project/tesserocr,2020-03-17 17:45:44.000000,100.0,47906.0,50208.0,https://anaconda.org/conda-forge/tesserocr,2021-01-13 16:38:14.456000,41437.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n298,TFX,tensorflow/tfx,,data-pipelines,https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000000,2021-04-15 14:31:07.000000,2021-04-15 11:05:08.000000,423,239.0,343.0,1387,3329.0,TFX is an end-to-end platform for deploying production ML pipelines.,109.0,26,True,2021-04-12 20:14:54.000000,0.29.0,45.0,tfx,,,,['tensorflow'],4.0,,https://pypi.org/project/tfx,2021-04-01 02:35:31.000000,4.0,210695.0,210695.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n299,petastorm,uber/petastorm,,distributed-ml,https://github.com/uber/petastorm,https://github.com/uber/petastorm,Apache-2.0,2018-06-15 23:15:29.000000,2021-04-14 19:08:15.000000,2021-04-14 19:08:15.000000,187,124.0,116.0,1125,621.0,Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets..,38.0,26,True,2020-12-15 18:37:49.000000,0.9.8,64.0,petastorm,,,,,29.0,29.0,https://pypi.org/project/petastorm,2020-12-15 18:37:49.000000,0.0,93763.0,93771.0,,,,,,,,2.0,288.0,,,,,,,,,,,,,,,,,,,,,\n300,TF Model Optimization,tensorflow/model-optimization,,tensorflow-utils,https://github.com/tensorflow/model-optimization,https://github.com/tensorflow/model-optimization,Apache-2.0,2018-10-31 20:34:28.000000,2021-04-15 07:05:31.000000,2021-04-15 07:05:24.000000,229,76.0,101.0,1025,512.0,\"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.\",47.0,26,True,2020-09-14 04:46:03.000000,0.5.0,20.0,tensorflow-model-optimization,,,,['tensorflow'],723.0,717.0,https://pypi.org/project/tensorflow-model-optimization,2020-09-14 04:36:08.000000,6.0,129417.0,129417.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n301,fancyimpute,iskandr/fancyimpute,,sklearn-utils,https://github.com/iskandr/fancyimpute,https://github.com/iskandr/fancyimpute,Apache-2.0,2015-11-05 23:39:34.000000,2021-03-30 16:22:41.000000,2021-01-25 00:27:51.000000,150,3.0,104.0,955,198.0,Multivariate imputation and matrix completion algorithms implemented in Python.,11.0,26,True,2021-03-30 16:22:41.000000,0.5.5,26.0,fancyimpute,,,,['sklearn'],900.0,858.0,https://pypi.org/project/fancyimpute,2020-07-16 21:36:59.000000,42.0,14748.0,14748.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n302,bcolz,Blosc/bcolz,,data-containers,https://github.com/Blosc/bcolz,https://github.com/Blosc/bcolz,BSD-3-Clause,2010-08-18 15:27:02.000000,2021-04-02 08:59:38.000000,2020-09-10 12:12:45.000000,118,126.0,122.0,915,1280.0,A columnar data container that can be compressed.,33.0,26,True,2018-04-13 07:44:26.000000,1.2.1,23.0,bcolz,conda-forge/bcolz,,,,2520.0,1552.0,https://pypi.org/project/bcolz,2018-04-13 07:44:26.000000,968.0,29221.0,33915.0,https://anaconda.org/conda-forge/bcolz,2019-11-05 21:09:48.045000,234715.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n303,kmodes,nicodv/kmodes,,others,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40.000000,2021-03-07 06:05:41.000000,2021-03-07 06:05:39.000000,340,18.0,111.0,831,462.0,\"Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data.\",17.0,26,True,2021-02-13 03:34:23.000000,0.11.0,13.0,kmodes,,,,,530.0,504.0,https://pypi.org/project/kmodes,2021-02-13 03:26:34.000000,26.0,107235.0,107235.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n304,pyclustering,annoviko/pyclustering,,others,https://github.com/annoviko/pyclustering,https://github.com/annoviko/pyclustering,BSD-3-Clause,2014-02-25 18:59:03.000000,2021-02-12 23:22:26.000000,2021-02-12 19:04:59.000000,189,49.0,584.0,814,2079.0,\"pyclustring is a Python, C++ data mining library.\",26.0,26,True,2020-11-25 22:33:07.000000,0.10.1.2,46.0,pyclustering,conda-forge/pyclustering,,,,224.0,188.0,https://pypi.org/project/pyclustering,2020-11-25 22:41:20.000000,36.0,40894.0,42064.0,https://anaconda.org/conda-forge/pyclustering,2021-01-25 21:14:55.053000,18641.0,,,,,2.0,310.0,,,,,,,,,,,,,,,,,,,,,\n305,pythreejs,jupyter-widgets/pythreejs,,data-viz,https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,BSD-3-Clause,2013-12-23 17:02:11.000000,2021-03-02 13:32:39.505000,2021-02-26 14:01:59.000000,158,62.0,141.0,720,1659.0,A Jupyter - Three.js bridge.,27.0,26,True,2021-02-26 14:01:21.000000,2.3.0,43.0,pythreejs,conda-forge/pythreejs,,,['jupyter'],49.0,15.0,https://pypi.org/project/pythreejs,2021-02-26 14:01:21.000000,26.0,23848.0,41446.0,https://anaconda.org/conda-forge/pythreejs,2021-03-02 13:32:39.505000,288999.0,,,,,3.0,,,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,2021-02-26 13:59:06.062000,8.0,12700.0,,,,,,,,,,,,,,\n306,TensorFlow Text,tensorflow/text,,nlp,https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000000,2021-04-14 20:57:58.000000,2021-04-09 19:03:02.000000,87,47.0,93.0,715,369.0,Making text a first-class citizen in TensorFlow.,36.0,26,True,2021-01-13 04:36:01.000000,2.4.3,33.0,tensorflow-text,,,,['tensorflow'],589.0,585.0,https://pypi.org/project/tensorflow-text,2021-04-06 23:21:59.000000,4.0,334511.0,334511.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n307,CLTK,cltk/cltk,,nlp,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000000,2021-04-14 01:08:05.000000,2021-04-13 02:37:02.000000,300,128.0,363.0,657,3566.0,The Classical Language Toolkit.,111.0,26,True,2021-04-13 02:45:30.000000,1.0.11,181.0,cltk,,,,,229.0,161.0,https://pypi.org/project/cltk,2021-04-13 02:45:30.000000,68.0,4962.0,4962.0,,,,,,,,2.0,22.0,,,,,,,,,,,,,,,,,,,,,\n308,pyahocorasick,WojciechMula/pyahocorasick,,nlp,https://github.com/WojciechMula/pyahocorasick,https://github.com/WojciechMula/pyahocorasick,BSD-3-Clause,2013-05-30 19:55:46.000000,2021-03-27 18:19:12.000000,2021-03-27 17:10:43.000000,88,33.0,68.0,598,412.0,Python module (C extension and plain python) implementing Aho-Corasick algorithm.,21.0,26,True,2021-03-27 18:19:12.000000,1.4.2,24.0,pyahocorasick,conda-forge/pyahocorasick,,,,654.0,550.0,https://pypi.org/project/pyahocorasick,2021-03-27 18:19:12.000000,104.0,221919.0,224871.0,https://anaconda.org/conda-forge/pyahocorasick,2020-10-13 12:20:05.350000,118110.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n309,SMAC3,automl/SMAC3,,hyperopt,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-3-Clause,2016-08-17 10:58:05.000000,2021-04-12 07:55:03.000000,2020-10-29 10:14:55.000000,159,77.0,251.0,569,1888.0,Sequential Model-based Algorithm Configuration.,30.0,26,True,2021-03-15 08:26:39.000000,0.13.1,29.0,smac,,,,,58.0,,https://pypi.org/project/smac,2020-10-29 10:57:56.000000,58.0,31851.0,31851.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n310,Intake,intake/intake,,data-loading,https://github.com/intake/intake,https://github.com/intake/intake,BSD-2-Clause,2017-08-14 20:44:22.000000,2021-04-14 16:56:03.000000,2021-04-14 16:56:03.000000,99,77.0,196.0,550,1674.0,\"Intake is a lightweight package for finding, investigating, loading and disseminating data.\",60.0,26,True,2021-03-16 19:53:00.000000,0.6.2,21.0,intake,conda-forge/intake,,,,318.0,244.0,https://pypi.org/project/intake,2021-03-16 19:53:00.000000,74.0,9276.0,11743.0,https://anaconda.org/conda-forge/intake,2021-03-16 21:22:12.681000,71549.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n311,inflect,jaraco/inflect,,nlp,https://github.com/jaraco/inflect,https://github.com/jaraco/inflect,MIT,2010-06-20 13:43:13.000000,2021-03-26 19:47:09.000000,2021-03-23 00:21:53.000000,59,11.0,63.0,505,,\"Correctly generate plurals, ordinals, indefinite articles; convert numbers to words.\",29.0,26,True,2021-03-03 01:35:47.000000,5.3.0,33.0,inflect,conda-forge/inflect,,,,1388.0,,https://pypi.org/project/inflect,2021-03-03 01:35:47.000000,1388.0,1725005.0,1728041.0,https://anaconda.org/conda-forge/inflect,2021-03-03 03:46:48.932000,145772.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n312,tabulator-py,frictionlessdata/tabulator-py,,data-loading,https://github.com/frictionlessdata/tabulator-py,https://github.com/frictionlessdata/tabulator-py,MIT,2015-08-24 05:34:38.000000,2021-03-22 13:33:49.000000,2021-03-22 13:33:48.000000,42,,177.0,204,657.0,Python library for reading and writing tabular data via streams.,25.0,26,True,2021-03-21 07:47:00.000000,1.53.5,141.0,tabulator,conda-forge/tabulator-py,,,,617.0,513.0,https://pypi.org/project/tabulator,2021-03-21 07:47:00.000000,104.0,179465.0,180342.0,https://anaconda.org/conda-forge/tabulator-py,2018-07-24 12:57:07.018000,40347.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n313,spleeter,deezer/spleeter,,audio,https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000000,2021-04-15 15:05:07.000000,2021-04-15 15:03:23.000000,1672,84.0,455.0,16156,460.0,Deezer source separation library including pretrained models.,17.0,25,True,2021-04-15 15:05:07.000000,2.2.2,33.0,spleeter,conda-forge/spleeter,,,['tensorflow'],0.0,,https://pypi.org/project/spleeter,2021-04-15 15:05:07.000000,0.0,9914.0,68880.0,https://anaconda.org/conda-forge/spleeter,2020-06-30 14:33:43.220000,48278.0,,,,,3.0,1010297.0,,,,,,,,,,,,,,,,,,,,,\n314,MMDetection,open-mmlab/mmdetection,,image,https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000000,2021-04-15 12:34:29.000000,2021-04-14 06:06:42.000000,4906,365.0,3314.0,14426,1505.0,OpenMMLab Detection Toolbox and Benchmark.,207.0,25,True,2021-04-02 07:41:57.000000,2.11.0,11.0,,,,,['pytorch'],35.0,35.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n315,PaddleOCR,PaddlePaddle/PaddleOCR,,ocr,https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000000,2021-04-15 12:12:02.000000,2021-04-15 09:15:54.000000,2339,665.0,1031.0,11878,,\"Awesome multilingual OCR toolkits based on PaddlePaddle practical ultra lightweight OCR system, support 80+ languages..\",56.0,25,True,2021-04-13 04:02:10.000000,2.0.5,13.0,paddleocr,,,,['paddle'],87.0,87.0,https://pypi.org/project/paddleocr,2021-04-13 04:02:10.000000,0.0,3341.0,3341.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n316,pysc2,deepmind/pysc2,,others,https://github.com/deepmind/pysc2,https://github.com/deepmind/pysc2,Apache-2.0,2017-07-25 18:16:57.000000,2020-07-29 16:22:31.000000,2019-09-27 15:23:22.000000,1103,57.0,203.0,7232,513.0,StarCraft II Learning Environment.,34.0,25,False,2019-09-27 15:48:01.000000,3.0.0,7.0,pysc2,,,,,275.0,235.0,https://pypi.org/project/pysc2,2019-09-27 15:48:01.000000,40.0,1175.0,1773.0,,,,,,,,2.0,26334.0,,,,,,,,,,,,,,,,,,,,,\n317,NuPIC,numenta/nupic,,ml-frameworks,https://github.com/numenta/nupic,https://github.com/numenta/nupic,AGPL-3.0,2013-04-05 23:14:27.000000,2021-03-25 21:39:47.000000,2019-10-23 20:45:07.000000,1585,456.0,1337.0,6221,6625.0,\"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..\",121.0,25,False,2018-06-01 15:37:54.000000,1.0.5,53.0,nupic,,,,,133.0,95.0,https://pypi.org/project/nupic,2018-06-01 15:37:54.000000,38.0,3649.0,3649.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n318,Trax,google/trax,,others,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000000,2021-04-14 19:50:56.000000,2021-04-14 19:50:48.000000,569,70.0,108.0,6037,1441.0,Trax Deep Learning with Clear Code and Speed.,65.0,25,True,2020-12-18 17:22:13.000000,1.3.7,20.0,trax,,,,,26.0,26.0,https://pypi.org/project/trax,2020-12-18 17:22:13.000000,,4209.0,4209.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n319,Vaex,vaexio/vaex,,data-containers,https://github.com/vaexio/vaex,https://github.com/vaexio/vaex,MIT,2014-09-27 09:44:42.000000,2021-04-15 13:21:07.000000,2021-04-09 10:31:27.000000,461,319.0,435.0,6032,3005.0,\"Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualize and explore big tabular data at a billion..\",41.0,25,True,2021-03-18 09:19:49.000000,4.1.0,51.0,vaex,conda-forge/vaex,,,,4.0,,https://pypi.org/project/vaex,2021-03-18 09:19:49.000000,4.0,12272.0,14158.0,https://anaconda.org/conda-forge/vaex,2021-03-09 14:33:41.948000,101747.0,,,,,3.0,204.0,,,,,,,,,,,,,,,,,,,,,\n320,Milvus,milvus-io/milvus,,nn-search,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000000,2021-04-15 11:35:02.000000,2021-04-15 08:59:43.000000,839,218.0,2024.0,5481,5592.0,\"An open source embedding vector similarity search engine powered by Faiss, NMSLIB and Annoy.\",137.0,25,True,2021-03-10 10:20:14.000000,1.0.0,46.0,pymilvus,,milvusdb/milvus,,,6.0,,https://pypi.org/project/pymilvus,2021-03-08 12:52:06.000000,6.0,16440.0,32474.0,,,,https://hub.docker.com/r/milvusdb/milvus,2021-03-05 10:28:16.600534,11.0,304652.0,2.0,,,,,,,,,,,,,,,,,,,,,,\n321,stanza,stanfordnlp/stanza,,nlp,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56.000000,2021-04-15 09:42:41.000000,2021-02-10 16:16:29.000000,678,52.0,439.0,5360,,Official Stanford NLP Python Library for Many Human Languages.,32.0,25,True,2021-01-29 20:05:25.000000,1.2.0,10.0,stanza,stanfordnlp/stanza,,,,414.0,410.0,https://pypi.org/project/stanza,2021-01-27 16:31:43.000000,4.0,38679.0,38947.0,https://anaconda.org/stanfordnlp/stanza,2021-01-27 22:24:06.992000,3494.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n322,keras-rl,keras-rl/keras-rl,,reinforcement-learning,https://github.com/keras-rl/keras-rl,https://github.com/keras-rl/keras-rl,MIT,2016-07-02 15:53:12.000000,2020-11-20 07:32:13.000000,2019-11-11 22:14:54.000000,1284,39.0,211.0,5008,308.0,Deep Reinforcement Learning for Keras.,40.0,25,False,2018-06-01 07:52:24.000000,0.4.2,8.0,keras-rl,,,,['tensorflow'],578.0,476.0,https://pypi.org/project/keras-rl,2018-06-01 07:52:24.000000,102.0,3059.0,3059.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n323,DeepSpeed,microsoft/DeepSpeed,,distributed-ml,https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,MIT,2020-01-23 18:35:18.000000,2021-04-15 00:15:09.000000,2021-04-14 21:31:39.000000,437,192.0,225.0,4678,506.0,\"DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.\",48.0,25,True,2021-04-08 16:45:27.000000,0.3.14,22.0,deepspeed,,deepspeed/deepspeed,,['pytorch'],22.0,22.0,https://pypi.org/project/deepspeed,2021-04-08 16:44:54.000000,,24510.0,25025.0,,,,https://hub.docker.com/r/deepspeed/deepspeed,2021-02-20 21:35:37.092937,2.0,7731.0,2.0,,,,,,,,,,,,,,,,,,,,,,\n324,Edward,blei-lab/edward,,probabilistics,https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05.000000,2019-10-22 20:30:48.000000,2018-07-25 01:28:08.000000,767,212.0,327.0,4620,1796.0,\"A probabilistic programming language in TensorFlow. Deep generative models, variational inference.\",87.0,25,False,2018-01-22 06:03:37.000000,1.3.5,28.0,edward,,,,['tensorflow'],293.0,215.0,https://pypi.org/project/edward,2018-01-22 06:03:05.000000,78.0,2470.0,2470.0,,,,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,,,,\n325,Augmentor,mdbloice/Augmentor,,image,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55.000000,2020-11-10 05:20:01.000000,2020-03-09 11:32:02.000000,805,118.0,67.0,4382,511.0,Image augmentation library in Python for machine learning.,22.0,25,False,2020-01-17 11:59:53.000000,0.2.8,20.0,Augmentor,,,,,332.0,290.0,https://pypi.org/project/Augmentor,2020-01-17 11:59:53.000000,42.0,11724.0,11724.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n326,Great Expectations,great-expectations/great_expectations,,data-pipelines,https://github.com/great-expectations/great_expectations,https://github.com/great-expectations/great_expectations,Apache-2.0,2017-09-11 00:18:46.000000,2021-04-15 15:06:45.000000,2021-04-15 15:02:36.000000,521,204.0,635.0,4205,,Always know what to expect from your data.,183.0,25,True,2021-04-02 18:11:39.000000,0.13.17,107.0,great_expectations,,,,,6.0,,https://pypi.org/project/great_expectations,2021-04-01 18:36:43.000000,6.0,618354.0,618354.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n327,VisualDL,PaddlePaddle/VisualDL,,ml-experiments,https://github.com/PaddlePaddle/VisualDL,https://github.com/PaddlePaddle/VisualDL,Apache-2.0,2017-12-20 12:34:31.000000,2021-04-09 15:36:51.000000,2021-04-09 15:36:51.000000,535,28.0,318.0,3900,,Deep Learning Visualization Toolkit.,29.0,25,True,2021-02-01 09:03:52.000000,2.1.1,31.0,visualdl,,,,['paddle'],264.0,254.0,https://pypi.org/project/visualdl,2021-01-29 09:44:14.000000,10.0,9995.0,10005.0,,,,,,,,3.0,107.0,,,,,,,,,,,,,,,,,,,,,\n328,BigDL,intel-analytics/BigDL,,distributed-ml,https://github.com/intel-analytics/BigDL,https://github.com/intel-analytics/BigDL,Apache-2.0,2016-08-29 07:59:50.000000,2021-04-13 07:07:51.000000,2021-04-12 01:28:29.000000,904,184.0,727.0,3715,2663.0,BigDL: Distributed Deep Learning Framework for Apache Spark.,71.0,25,True,2021-01-05 05:55:32.000000,0.12.1,39.0,bigdl,,,,,30.0,24.0,https://pypi.org/project/bigdl,2021-04-07 05:17:55.000000,6.0,2436.0,2436.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,com.intel.analytics.bigdl:bigdl-SPARK_2.4,https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4,2020-12-05 03:54:47.000000,0.0,,\n329,TensorFlowOnSpark,yahoo/TensorFlowOnSpark,,distributed-ml,https://github.com/yahoo/TensorFlowOnSpark,https://github.com/yahoo/TensorFlowOnSpark,Apache-2.0,2017-01-20 18:15:57.000000,2021-03-29 16:39:50.000000,2021-03-29 16:39:47.000000,940,11.0,336.0,3657,616.0,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,33.0,25,True,2021-03-23 16:46:56.000000,2.2.3,30.0,tensorflowonspark,,,,\"['tensorflow', 'spark']\",5.0,,https://pypi.org/project/tensorflowonspark,2021-03-19 17:34:37.000000,5.0,153914.0,153914.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n330,mlpack,mlpack/mlpack,,ml-frameworks,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59.000000,2021-04-15 09:04:27.000000,2021-04-12 18:21:32.000000,1340,154.0,1226.0,3633,26203.0,mlpack: a scalable C++ machine learning library --.,271.0,25,True,2020-10-28 18:28:47.000000,3.4.2,40.0,mlpack,conda-forge/mlpack,,,,0.0,,https://pypi.org/project/mlpack,2020-10-28 18:28:47.000000,0.0,1009.0,3170.0,https://anaconda.org/conda-forge/mlpack,2020-10-29 09:35:18.918000,71323.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n331,T5,google-research/text-to-text-transfer-transformer,,nlp,https://github.com/google-research/text-to-text-transfer-transformer,https://github.com/google-research/text-to-text-transfer-transformer,Apache-2.0,2019-10-17 21:45:14.000000,2021-04-15 13:17:58.000000,2021-04-13 20:36:53.000000,454,51.0,317.0,3325,478.0,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,37.0,25,True,2021-03-03 15:19:14.000000,0.9.0,26.0,t5,,,,['tensorflow'],32.0,32.0,https://pypi.org/project/t5,2021-03-03 15:19:14.000000,0.0,11534.0,11534.0,,,,,,,,3.0,,2.0,,,,,,,,,,,,,,,,,,,,\n332,PML,KevinMusgrave/pytorch-metric-learning,,pytorch-utils,https://github.com/KevinMusgrave/pytorch-metric-learning,https://github.com/KevinMusgrave/pytorch-metric-learning,MIT,2019-10-23 17:20:35.000000,2021-04-15 09:23:19.000000,2021-04-03 02:44:16.000000,396,38.0,196.0,3014,655.0,\"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.\",15.0,25,True,2021-04-03 00:20:04.000000,0.9.98,152.0,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,,['pytorch'],70.0,70.0,https://pypi.org/project/pytorch-metric-learning,2019-12-27 11:28:11.000000,0.0,12635.0,12759.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2021-04-03 02:32:50.650000,1872.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n333,Chartify,spotify/chartify,,data-viz,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05.000000,2021-03-20 11:20:12.000000,2021-02-05 18:49:02.000000,256,40.0,30.0,2879,195.0,Python library that makes it easy for data scientists to create charts.,21.0,25,True,2020-11-02 22:14:08.000000,3.0.3,16.0,chartify,conda-forge/chartify,,,,58.0,53.0,https://pypi.org/project/chartify,2020-11-02 22:14:08.000000,5.0,3477.0,3934.0,https://anaconda.org/conda-forge/chartify,2020-11-07 19:52:50.628000,13280.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n334,Sumy,miso-belica/sumy,,nlp,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48.000000,2020-11-21 17:08:35.000000,2020-11-21 17:08:33.000000,446,12.0,78.0,2561,397.0,Module for automatic summarization of text documents and HTML pages.,20.0,25,True,2019-05-19 14:39:21.000000,0.8.1,13.0,sumy,,,,,929.0,737.0,https://pypi.org/project/sumy,2019-05-19 14:38:29.000000,192.0,17659.0,17659.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n335,Neural Network Libraries,sony/nnabla,,ml-frameworks,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10.000000,2021-04-14 01:24:11.000000,2021-04-13 04:44:41.000000,300,30.0,29.0,2441,2589.0,Neural Network Libraries.,58.0,25,True,2021-04-14 00:00:37.000000,1.19.0,55.0,nnabla,,,,,34.0,,https://pypi.org/project/nnabla,2021-04-13 05:42:15.000000,34.0,7529.0,7540.0,,,,,,,,3.0,523.0,,,,,,,,,,,,,,,,,,,,,\n336,TextDistance,life4/textdistance,,nlp,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10.000000,2021-01-29 15:41:57.288000,2021-01-29 09:03:55.000000,165,9.0,,1947,304.0,\"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..\",9.0,25,True,2021-01-29 09:04:46.000000,.4.2.1,21.0,textdistance,conda-forge/textdistance,,,,508.0,480.0,https://pypi.org/project/textdistance,2021-01-29 09:03:27.000000,28.0,216913.0,217842.0,https://anaconda.org/conda-forge/textdistance,2021-01-29 15:41:57.288000,32479.0,,,,,3.0,105.0,,,,,,,,,,,,,,,,,,,,,\n337,causalml,uber/causalml,,others,https://github.com/uber/causalml,https://github.com/uber/causalml,Apache-2.0,2019-07-09 02:08:58.000000,2021-04-13 16:39:29.000000,2021-04-13 16:39:29.000000,272,31.0,138.0,1869,311.0,Uplift modeling and causal inference with machine learning algorithms.,25.0,25,True,2021-02-19 20:58:43.000000,0.10.0,13.0,causalml,,,,,18.0,18.0,https://pypi.org/project/causalml,2021-02-19 20:32:15.000000,0.0,21738.0,21738.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n338,StellarGraph,stellargraph/stellargraph,,graph,https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51.000000,2021-03-30 23:19:09.000000,2021-02-18 01:03:15.000000,263,233.0,710.0,1850,2515.0,StellarGraph - Machine Learning on Graphs.,32.0,25,True,2020-06-30 05:15:21.000000,1.2.1,25.0,stellargraph,,,,['tensorflow'],60.0,56.0,https://pypi.org/project/stellargraph,2020-06-30 05:10:43.000000,4.0,6162.0,6162.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n339,pytorch-optimizer,jettify/pytorch-optimizer,,pytorch-utils,https://github.com/jettify/pytorch-optimizer,https://github.com/jettify/pytorch-optimizer,Apache-2.0,2020-01-03 03:16:39.000000,2021-04-15 10:31:14.000000,2021-04-15 10:31:13.000000,172,10.0,25.0,1812,374.0,torch-optimizer -- collection of optimizers for Pytorch.,19.0,25,True,2021-01-01 16:51:15.000000,0.1.0,19.0,torch_optimizer,,,,['pytorch'],167.0,167.0,https://pypi.org/project/torch_optimizer,2021-01-01 16:51:15.000000,0.0,36248.0,36248.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n340,polyglot,aboSamoor/polyglot,,nlp,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,GPL-3.0,2014-06-30 02:07:45.000000,2020-10-27 10:55:53.000000,2020-09-22 22:35:28.000000,293,132.0,64.0,1811,271.0,Multilingual text (NLP) processing toolkit.,26.0,25,False,2016-07-03 20:05:42.000000,16.7.4,8.0,polyglot,,,,,602.0,472.0,https://pypi.org/project/polyglot,2016-07-03 20:05:42.000000,130.0,73765.0,73765.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n341,pgmpy,pgmpy/pgmpy,,probabilistics,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000000,2021-04-11 08:55:27.000000,2021-04-11 08:55:27.000000,567,232.0,504.0,1760,6.0,Python Library for learning (Structure and Parameter) and inference (Statistical and Causal) in Bayesian Networks.,91.0,25,True,2021-03-31 09:08:49.000000,0.1.14,13.0,pgmpy,,,,,221.0,209.0,https://pypi.org/project/pgmpy,2021-03-31 07:30:01.000000,12.0,31528.0,31534.0,,,,,,,,3.0,64.0,,,,,,,,,,,,,,,,,,,,,\n342,category_encoders,scikit-learn-contrib/category_encoders,,sklearn-utils,https://github.com/scikit-learn-contrib/category_encoders,https://github.com/scikit-learn-contrib/category_encoders,BSD-3-Clause,2015-11-29 19:32:37.000000,2021-04-13 02:35:29.000000,2020-07-31 10:43:44.000000,304,73.0,136.0,1623,671.0,A library of sklearn compatible categorical variable encoders.,37.0,25,True,2020-04-29 02:09:51.000000,2.2.2,19.0,category_encoders,conda-forge/category_encoders,,,['sklearn'],23.0,,https://pypi.org/project/category_encoders,2018-10-14 14:15:54.000000,23.0,333744.0,335493.0,https://anaconda.org/conda-forge/category_encoders,2020-04-29 22:37:35.948000,99708.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n343,swifter,jmcarpenter2/swifter,,data-containers,https://github.com/jmcarpenter2/swifter,https://github.com/jmcarpenter2/swifter,MIT,2018-04-07 21:37:19.000000,2021-04-05 23:39:32.730000,2020-12-19 19:11:44.000000,76,17.0,76.0,1601,423.0,A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner.,14.0,25,True,2020-10-11 22:42:57.000000,1.0.7,71.0,swifter,conda-forge/swifter,,,['pandas'],347.0,315.0,https://pypi.org/project/swifter,2020-10-11 22:42:57.000000,32.0,97539.0,101334.0,https://anaconda.org/conda-forge/swifter,2021-04-05 23:39:32.730000,91102.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n344,tslearn,tslearn-team/tslearn,,time-series-data,https://github.com/tslearn-team/tslearn,https://github.com/tslearn-team/tslearn,BSD-2-Clause,2017-05-04 13:08:13.000000,2021-03-16 22:42:37.000000,2021-01-25 15:18:03.000000,228,65.0,169.0,1559,,A machine learning toolkit dedicated to time-series data.,29.0,25,True,2021-01-25 15:19:11.000000,0.5.0.5,92.0,tslearn,conda-forge/tslearn,,,['sklearn'],237.0,215.0,https://pypi.org/project/tslearn,2021-01-25 15:28:45.000000,22.0,68967.0,74413.0,https://anaconda.org/conda-forge/tslearn,2021-01-25 17:55:55.394000,201509.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n345,mtcnn,ipazc/mtcnn,,image,https://github.com/ipazc/mtcnn,https://github.com/ipazc/mtcnn,MIT,2018-01-05 04:08:32.000000,2021-02-03 15:49:06.000000,2021-01-13 23:50:58.000000,386,55.0,36.0,1471,55.0,\"MTCNN face detection implementation for TensorFlow, as a PIP package.\",14.0,25,True,2019-11-14 17:37:05.000000,0.1.0,10.0,mtcnn,,,,['tensorflow'],1036.0,994.0,https://pypi.org/project/mtcnn,2019-11-14 17:37:05.000000,42.0,20148.0,20148.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n346,Elephas,maxpumperla/elephas,,distributed-ml,https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19.000000,2021-04-13 17:32:34.000000,2021-04-13 17:32:34.000000,288,22.0,122.0,1463,495.0,Distributed Deep learning with Keras & Spark.,27.0,25,True,2021-04-03 22:28:48.000000,2.0.0,20.0,elephas,,,,\"['keras', 'spark']\",41.0,38.0,https://pypi.org/project/elephas,2021-04-03 22:28:48.000000,3.0,16098.0,16098.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n347,chainercv,chainer/chainercv,,image,https://github.com/chainer/chainercv,https://github.com/chainer/chainercv,MIT,2017-02-13 04:15:10.000000,2020-02-03 01:27:17.000000,2020-01-07 11:48:31.000000,318,54.0,168.0,1440,4930.0,ChainerCV: a Library for Deep Learning in Computer Vision.,39.0,25,False,2019-06-12 11:55:02.000000,0.13.1,24.0,chainercv,,,,,293.0,233.0,https://pypi.org/project/chainercv,2019-06-12 11:55:40.000000,60.0,5283.0,5283.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n348,IB-insync,erdewit/ib_insync,,financial-data,https://github.com/erdewit/ib_insync,https://github.com/erdewit/ib_insync,BSD-2-Clause,2017-07-12 12:09:24.000000,2021-03-31 17:24:15.000000,2021-03-31 17:24:12.000000,412,2.0,299.0,1372,566.0,Python sync/async framework for Interactive Brokers API.,28.0,25,True,2020-11-03 13:37:57.000000,0.9.64,89.0,ib_insync,conda-forge/ib-insync,,,,12.0,,https://pypi.org/project/ib_insync,2020-11-03 13:37:57.000000,12.0,11899.0,12328.0,https://anaconda.org/conda-forge/ib-insync,2021-02-25 02:28:19.625000,9010.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n349,TextAttack,QData/TextAttack,,adversarial,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000000,2021-04-15 04:09:24.000000,2021-04-14 19:17:45.000000,155,36.0,82.0,1354,1991.0,\"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP.\",34.0,25,True,2020-12-27 05:23:02.000000,0.2.15,35.0,textattack,,,,,20.0,20.0,https://pypi.org/project/textattack,2020-12-27 05:23:02.000000,0.0,2173.0,2173.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n350,Fairness 360,Trusted-AI/AIF360,,interpretability,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15.000000,2021-03-10 20:05:40.000000,2021-03-10 20:05:40.000000,420,39.0,53.0,1339,318.0,\"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..\",43.0,25,True,2021-03-04 18:11:34.000000,0.4.0,9.0,aif360,,,,,80.0,76.0,https://pypi.org/project/aif360,2021-03-04 18:11:34.000000,4.0,6519.0,6519.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n351,ViZDoom,mwydmuch/ViZDoom,,reinforcement-learning,https://github.com/mwydmuch/ViZDoom,https://github.com/mwydmuch/ViZDoom,MIT,2015-06-26 18:38:23.000000,2021-02-09 10:35:01.000000,2021-02-09 10:35:01.000000,298,87.0,329.0,1189,1464.0,Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information.,44.0,25,True,2020-10-29 15:56:20.000000,1.1.8,19.0,vizdoom,,,,,138.0,114.0,https://pypi.org/project/vizdoom,2020-10-29 15:56:20.000000,24.0,1788.0,1964.0,,,,,,,,2.0,10764.0,,,,,,,,,,,,,,,,,,,,,\n352,PyCUDA,inducer/pycuda,,gpu-utilities,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000000,2021-04-10 20:57:18.000000,2021-04-10 20:51:18.000000,225,54.0,135.0,1129,,\"CUDA integration for Python, plus shiny features.\",70.0,25,True,2019-08-12 04:15:37.000000,2019.1.2,47.0,pycuda,,,,,1093.0,801.0,https://pypi.org/project/pycuda,2021-04-03 22:28:54.000000,292.0,36307.0,36307.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n353,TabPy,tableau/TabPy,,others,https://github.com/tableau/TabPy,https://github.com/tableau/TabPy,MIT,2016-09-27 21:26:03.000000,2021-02-04 23:28:56.000000,2021-02-04 23:28:56.000000,390,10.0,264.0,1056,828.0,Execute Python code on the fly and display results in Tableau visualizations:.,40.0,25,True,2020-11-11 19:06:41.000000,2.3.1,24.0,tabpy,,,,,55.0,55.0,https://pypi.org/project/tabpy,2020-11-11 19:06:41.000000,0.0,33654.0,33654.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n354,ArcGIS API,Esri/arcgis-python-api,,geospatial-data,https://github.com/Esri/arcgis-python-api,https://github.com/Esri/arcgis-python-api,Apache-2.0,2016-03-16 01:09:14.000000,2021-04-15 12:54:34.000000,2021-03-30 01:53:21.000000,732,118.0,223.0,1007,3052.0,Documentation and samples for ArcGIS API for Python.,61.0,25,True,2021-04-12 03:08:40.000000,1.8.5,29.0,arcgis,,esridocker/arcgis-api-python-notebook,,,20.0,,https://pypi.org/project/arcgis,2021-04-12 03:28:09.000000,20.0,37940.0,38009.0,,,,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,2020-03-06 00:53:45.164342,32.0,4258.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n355,arviz,arviz-devs/arviz,,interpretability,https://github.com/arviz-devs/arviz,https://github.com/arviz-devs/arviz,Apache-2.0,2015-07-29 11:51:10.000000,2021-04-15 08:17:34.000000,2021-04-15 07:43:08.000000,197,119.0,462.0,982,,Exploratory analysis of Bayesian models with Python.,77.0,25,True,2021-02-21 19:39:56.000000,0.11.2,23.0,arviz,conda-forge/arviz,,,,843.0,807.0,https://pypi.org/project/arviz,2021-02-21 19:39:56.000000,36.0,229395.0,240062.0,https://anaconda.org/conda-forge/arviz,2021-02-21 21:30:03.812000,245290.0,,,,,2.0,98.0,,,,,,,,,,,,,,,,,,,,,\n356,Streamz,python-streamz/streamz,,time-series-data,https://github.com/python-streamz/streamz,https://github.com/python-streamz/streamz,BSD-3-Clause,2017-04-04 21:45:49.000000,2021-04-05 16:03:05.000000,2021-04-05 16:03:05.000000,116,91.0,132.0,930,742.0,Real-time stream processing for python.,39.0,25,True,2021-01-14 20:47:38.000000,0.6.2,15.0,streamz,conda-forge/streamz,,,,216.0,200.0,https://pypi.org/project/streamz,2021-01-14 20:47:38.000000,16.0,6312.0,9634.0,https://anaconda.org/conda-forge/streamz,2021-01-15 14:38:35.032000,142879.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n357,PySAL,pysal/pysal,,geospatial-data,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42.000000,2021-02-08 21:30:44.240000,2021-02-01 00:35:48.000000,242,58.0,584.0,839,4119.0,PySAL: Python Spatial Analysis Library Meta-Package.,71.0,25,True,2021-02-02 02:59:42.000000,2.4.0,25.0,pysal,conda-forge/pysal,,,,36.0,,https://pypi.org/project/pysal,2021-02-02 02:59:42.000000,36.0,16287.0,23433.0,https://anaconda.org/conda-forge/pysal,2021-02-08 21:30:44.240000,407363.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n358,ffn,pmorissette/ffn,,financial-data,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09.000000,2021-03-24 20:44:31.000000,2021-03-24 20:44:31.000000,193,18.0,64.0,829,347.0,ffn - a financial function library for Python.,26.0,25,True,2021-02-01 04:38:52.000000,0.3.5,26.0,ffn,,,,,153.0,111.0,https://pypi.org/project/ffn,2021-02-01 04:35:47.000000,42.0,18809.0,18809.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n359,ktrain,amaiya/ktrain,,ml-frameworks,https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39.000000,2021-04-12 01:57:30.000000,2021-03-26 17:14:39.000000,191,10.0,323.0,796,2266.0,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,12.0,25,True,2021-03-26 17:15:23.000000,0.26.2,150.0,ktrain,,,,['tensorflow'],149.0,148.0,https://pypi.org/project/ktrain,2021-03-26 17:14:10.000000,1.0,19185.0,19185.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n360,Singer,singer-io/getting-started,,data-loading,https://github.com/singer-io/getting-started,https://github.com/singer-io/getting-started,AGPL-3.0,2016-10-31 16:53:56.000000,2021-04-15 00:59:30.000000,2021-04-14 13:25:19.000000,102,20.0,18.0,749,181.0,\"Standard for moving data between databases, web APIs, files, queues, and just about anything else you can think of.\",26.0,25,False,2021-02-25 20:41:17.000000,5.11.0,104.0,singer-python,,,,,300.0,,https://pypi.org/project/singer-python,2021-03-22 20:41:58.000000,300.0,79707.0,79707.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n361,Hail,hail-is/hail,,medical-data,https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000000,2021-04-15 13:20:04.000000,2021-04-14 22:23:18.000000,183,323.0,1940.0,713,7617.0,Scalable genomic data analysis.,73.0,25,True,2021-03-11 20:43:46.000000,0.2.64,84.0,hail,,,,['spark'],33.0,33.0,https://pypi.org/project/hail,2021-03-11 20:43:51.000000,0.0,9744.0,9744.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n362,dask-ml,dask/dask-ml,,distributed-ml,https://github.com/dask/dask-ml,https://github.com/dask/dask-ml,BSD-3-Clause,2017-06-15 15:56:06.000000,2021-04-12 02:45:00.000000,2021-04-10 16:30:50.000000,189,186.0,219.0,699,,Scalable Machine Learning with Dask.,64.0,25,True,2021-01-30 16:49:37.000000,1.8.0,27.0,dask-ml,conda-forge/dask-ml,,,,414.0,372.0,https://pypi.org/project/dask-ml,2021-01-30 16:49:37.000000,42.0,69722.0,74597.0,https://anaconda.org/conda-forge/dask-ml,2021-01-30 20:07:36.819000,204778.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n363,Satpy,pytroll/satpy,,geospatial-data,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000000,2021-04-14 14:51:02.000000,2021-04-14 14:51:02.000000,196,312.0,319.0,688,8580.0,Python package for earth-observing satellite data processing.,106.0,25,False,2021-03-26 08:31:14.000000,0.27.0,65.0,satpy,conda-forge/satpy,,,,47.0,41.0,https://pypi.org/project/satpy,2021-03-26 08:31:14.000000,6.0,1386.0,3184.0,https://anaconda.org/conda-forge/satpy,2021-03-26 11:35:33.340000,59337.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n364,pyjanitor,ericmjl/pyjanitor,,others,https://github.com/pyjanitor-devs/pyjanitor,https://github.com/pyjanitor-devs/pyjanitor,MIT,2018-03-04 22:43:33.000000,2021-04-12 15:16:55.000000,2021-04-12 15:16:55.000000,123,98.0,285.0,652,1162.0,Clean APIs for data cleaning. Python implementation of R package Janitor.,88.0,25,True,2021-02-25 17:30:52.000000,0.20.13,49.0,pyjanitor,conda-forge/pyjanitor,,,,94.0,90.0,https://pypi.org/project/pyjanitor,2021-02-25 17:30:52.000000,4.0,6068.0,8389.0,https://anaconda.org/conda-forge/pyjanitor,2021-03-25 12:03:18.871000,85912.0,,,,,2.0,,,,,,,,,,,,,pyjanitor-devs/pyjanitor,,,,,,,,,\n365,PDPbox,SauceCat/PDPbox,,data-viz,https://github.com/SauceCat/PDPbox,https://github.com/SauceCat/PDPbox,MIT,2017-06-26 08:01:54.000000,2021-03-14 19:37:51.465000,2021-03-14 16:01:01.000000,85,19.0,38.0,560,227.0,python partial dependence plot toolbox.,7.0,25,True,2021-03-14 16:21:17.000000,0.2.1,3.0,pdpbox,conda-forge/pdpbox,,,,398.0,364.0,https://pypi.org/project/pdpbox,2021-03-14 16:21:17.000000,34.0,81434.0,81761.0,https://anaconda.org/conda-forge/pdpbox,2021-03-14 19:37:51.465000,6869.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n366,tensorflow-upstream,ROCmSoftwarePlatform/tensorflow-upstream,,ml-frameworks,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,Apache-2.0,2018-04-09 21:24:50.000000,2021-04-15 13:43:12.000000,2021-04-13 21:39:47.000000,65,55.0,241.0,554,79524.0,TensorFlow ROCm port.,3627.0,25,True,2021-03-29 03:10:02.000000,2.4.1,63.0,tensorflow-rocm,,,,['tensorflow'],,,https://pypi.org/project/tensorflow-rocm,2021-03-29 03:10:02.000000,,3140.0,3140.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,,,,\n367,mpi4py,mpi4py/mpi4py,,distributed-ml,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-3-Clause,2013-09-05 14:44:25.000000,2021-04-08 18:46:45.000000,2021-03-31 12:46:41.000000,64,7.0,16.0,398,2246.0,Python bindings for MPI.,16.0,25,True,2020-07-27 06:40:19.000000,3.0.3,13.0,mpi4py,conda-forge/mpi4py,,,,752.0,,https://pypi.org/project/mpi4py,2019-11-04 13:05:10.000000,752.0,196599.0,207553.0,https://anaconda.org/conda-forge/mpi4py,2021-01-19 17:48:43.682000,597015.0,,,,,2.0,906.0,,,,,,,,,,,,,,,,,,,,,\n368,PyNNDescent,lmcinnes/pynndescent,,nn-search,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000000,2021-03-12 04:15:55.000000,2021-03-12 04:15:47.000000,50,28.0,34.0,384,488.0,A Python nearest neighbor descent for approximate nearest neighbors.,13.0,25,True,2021-02-08 20:03:04.000000,0.5.2,21.0,pynndescent,conda-forge/pynndescent,,,,378.0,372.0,https://pypi.org/project/pynndescent,2021-02-08 20:03:04.000000,6.0,344038.0,348769.0,https://anaconda.org/conda-forge/pynndescent,2021-02-09 04:30:06.804000,104089.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n369,python-soundfile,bastibe/python-soundfile,,audio,https://github.com/bastibe/python-soundfile,https://github.com/bastibe/python-soundfile,BSD-3-Clause,2013-08-27 13:36:52.000000,2021-01-13 07:52:51.000000,2020-12-01 18:42:47.000000,42,57.0,90.0,378,493.0,\"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.\",19.0,25,True,2019-12-04 10:03:39.000000,0.10.3post1,7.0,soundfile,,,,,7137.0,6397.0,https://pypi.org/project/soundfile,2019-11-27 12:16:19.000000,740.0,721688.0,721714.0,,,,,,,,3.0,2308.0,,,,,,,,,,,,,,,,,,,,,\n370,hvPlot,holoviz/hvplot,,data-viz,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000000,2021-04-14 13:31:19.000000,2021-04-14 13:31:15.000000,51,118.0,232.0,376,378.0,\"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.\",27.0,25,True,2021-03-04 17:35:32.000000,0.7.1,14.0,hvplot,conda-forge/hvplot,,,,575.0,545.0,https://pypi.org/project/hvplot,2021-04-14 13:04:35.000000,30.0,27352.0,29805.0,https://anaconda.org/conda-forge/hvplot,2021-03-04 01:00:43.938000,78510.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n371,datalad,datalad/datalad,,others,https://github.com/datalad/datalad,https://github.com/datalad/datalad,MIT,2013-11-01 19:40:08.000000,2021-04-15 15:15:46.000000,2021-04-15 08:44:06.000000,73,698.0,2294.0,238,13657.0,\"Keep code, data, containers under control with git and git-annex.\",37.0,25,True,2021-04-14 23:03:44.000000,0.14.2,65.0,datalad,conda-forge/datalad,,,,26.0,,https://pypi.org/project/datalad,2021-04-01 15:57:21.000000,26.0,5647.0,8580.0,https://anaconda.org/conda-forge/datalad,2021-04-15 02:42:48.093000,108535.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n372,mmdnn,Microsoft/MMdnn,,model-serialisation,https://github.com/microsoft/MMdnn,https://github.com/microsoft/MMdnn,MIT,2017-08-16 08:03:52.000000,2021-03-01 14:17:24.000000,2020-08-14 02:32:30.000000,941,307.0,287.0,5294,1083.0,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,85.0,24,True,2020-07-24 06:34:39.000000,0.3.1,12.0,mmdnn,,,,,55.0,52.0,https://pypi.org/project/mmdnn,2020-07-24 06:34:39.000000,3.0,1125.0,1206.0,,,,,,,,2.0,3345.0,,,,,,,,,,,,,,,,,,,,,\n373,Face Alignment,1adrianb/face-alignment,,image,https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44.000000,2021-03-03 00:56:24.000000,2021-03-03 00:56:24.000000,1037,36.0,198.0,4840,198.0,2D and 3D Face alignment library build using pytorch.,22.0,24,True,2020-12-22 21:34:55.000000,1.3.3,9.0,face-alignment,,,,['pytorch'],12.0,,https://pypi.org/project/face-alignment,2020-12-22 21:34:55.000000,12.0,8034.0,8034.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n374,sktime,alan-turing-institute/sktime,,time-series-data,https://github.com/alan-turing-institute/sktime,https://github.com/alan-turing-institute/sktime,BSD-3-Clause,2018-11-06 15:08:24.000000,2021-04-15 10:41:18.000000,2021-04-15 10:14:37.000000,516,120.0,294.0,3841,,A unified framework for machine learning with time series.,81.0,24,True,2021-04-15 10:41:18.000000,0.6.0,14.0,sktime,,,,['sklearn'],135.0,135.0,https://pypi.org/project/sktime,2021-04-15 10:41:18.000000,0.0,49581.0,49583.0,,,,,,,,2.0,57.0,,,,,,,,,,,,,,,,,,,,,\n375,Lasagne,Lasagne/Lasagne,,ml-frameworks,https://github.com/Lasagne/Lasagne,https://github.com/Lasagne/Lasagne,MIT,2014-09-11 15:31:41.000000,2019-11-20 20:28:31.000000,2019-11-20 20:28:30.000000,983,139.0,402.0,3777,1161.0,Lightweight library to build and train neural networks in Theano.,72.0,24,False,2015-08-13 21:00:09.000000,0.1,1.0,lasagne,,,,,1309.0,803.0,https://pypi.org/project/lasagne,2015-08-13 21:10:53.000000,506.0,2756.0,2756.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n376,torchdiffeq,rtqichen/torchdiffeq,,pytorch-utils,https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25.000000,2021-04-05 11:26:15.000000,2021-03-23 19:55:23.000000,594,23.0,110.0,3460,216.0,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,19.0,24,True,2021-02-06 20:33:16.000000,0.2.1,5.0,torchdiffeq,,,,['pytorch'],89.0,89.0,https://pypi.org/project/torchdiffeq,2021-02-06 20:33:16.000000,0.0,2896.0,2896.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n377,ArrayFire,arrayfire/arrayfire,,gpu-utilities,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000000,2021-04-12 14:00:05.000000,2021-03-23 02:59:03.000000,475,239.0,1224.0,3345,5708.0,ArrayFire: a general purpose GPU library.,80.0,24,True,2021-01-08 21:41:09.000000,3.8.0,30.0,arrayfire,,,,,8.0,,https://pypi.org/project/arrayfire,2021-03-05 17:36:30.000000,8.0,1374.0,1388.0,,,,,,,,2.0,981.0,,,,,,,,,,,,,,,,,,,,,\n378,xLearn,aksnzhy/xlearn,,ml-frameworks,https://github.com/aksnzhy/xlearn,https://github.com/aksnzhy/xlearn,Apache-2.0,2017-06-10 08:09:31.000000,2021-01-28 14:17:44.000000,2020-03-03 10:12:35.000000,515,190.0,107.0,2871,1340.0,\"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..\",30.0,24,False,2019-04-25 02:10:05.000000,0.4.4,15.0,xlearn,,,,,49.0,47.0,https://pypi.org/project/xlearn,2018-12-04 11:05:06.000000,2.0,3799.0,3865.0,,,,,,,,3.0,2460.0,,,,,,,,,,,,,,,,,,,,,\n379,DoWhy,Microsoft/dowhy,,interpretability,https://github.com/microsoft/dowhy,https://github.com/microsoft/dowhy,MIT,2018-05-31 13:07:04.000000,2021-04-06 14:33:58.000000,2021-03-19 11:15:56.000000,402,22.0,90.0,2822,438.0,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,39.0,24,True,2021-03-03 03:44:46.000000,0.6,6.0,dowhy,conda-forge/dowhy,,,,31.0,31.0,https://pypi.org/project/dowhy,2021-03-03 03:45:16.000000,0.0,20003.0,20142.0,https://anaconda.org/conda-forge/dowhy,2020-12-13 07:46:12.761000,1521.0,,,,,2.0,23.0,,,,,,,,,,,,,,,,,,,,,\n380,keras-vis,raghakot/keras-vis,,interpretability,https://github.com/raghakot/keras-vis,https://github.com/raghakot/keras-vis,MIT,2016-11-11 23:27:34.000000,2020-04-20 01:03:13.000000,2020-04-20 01:03:12.000000,595,114.0,99.0,2812,195.0,Neural network visualization toolkit for keras.,10.0,24,True,2017-07-06 04:55:04.000000,0.4.1,11.0,keras-vis,,,,['tensorflow'],922.0,866.0,https://pypi.org/project/keras-vis,2017-07-06 04:55:04.000000,56.0,3079.0,3079.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n381,einops,arogozhnikov/einops,,ml-frameworks,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08.000000,2021-04-03 01:17:15.000000,2021-04-03 01:17:15.000000,94,21.0,44.0,2771,305.0,\"Deep learning operations reinvented (for pytorch, tensorflow, jax and others).\",11.0,24,True,2020-09-08 08:33:29.000000,0.3,3.0,einops,conda-forge/einops,,,,422.0,412.0,https://pypi.org/project/einops,2020-09-08 08:21:26.000000,10.0,95514.0,95751.0,https://anaconda.org/conda-forge/einops,2020-10-15 20:10:19.681000,4513.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n382,Arctic,man-group/arctic,,data-containers,https://github.com/man-group/arctic,https://github.com/man-group/arctic,LGPL-2.1,2015-05-29 13:37:30.000000,2021-04-15 00:38:02.000000,2021-04-09 12:12:38.000000,439,88.0,436.0,2247,1075.0,Arctic is a high performance datastore for numeric data.,71.0,24,True,2020-12-01 23:17:26.000000,1.79.4,83.0,arctic,conda-forge/arctic,,,,153.0,111.0,https://pypi.org/project/arctic,2020-12-01 23:16:12.000000,42.0,7160.0,7739.0,https://anaconda.org/conda-forge/arctic,2019-12-16 08:57:24.231000,13295.0,,,,,3.0,115.0,,,,,,,,,,,,,,,,,,,,,\n383,D-Tale,man-group/dtale,,data-viz,https://github.com/man-group/dtale,https://github.com/man-group/dtale,LGPL-2.1,2019-07-15 09:34:48.000000,2021-04-12 19:11:31.589000,2021-04-12 18:23:03.000000,161,30.0,298.0,2230,390.0,Visualizer for pandas data structures.,15.0,24,True,2021-04-12 18:49:44.000000,1.42.1,114.0,dtale,conda-forge/dtale,,,\"['pandas', 'jupyter']\",129.0,129.0,https://pypi.org/project/dtale,2021-04-12 18:42:48.000000,0.0,14218.0,17781.0,https://anaconda.org/conda-forge/dtale,2021-04-12 19:11:31.589000,49892.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n384,fastNLP,fastnlp/fastNLP,,nlp,https://github.com/fastnlp/fastNLP,https://github.com/fastnlp/fastNLP,Apache-2.0,2018-03-07 13:30:20.000000,2021-04-12 13:46:59.000000,2021-04-12 13:45:28.000000,361,16.0,129.0,2107,1742.0,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,50.0,24,True,2020-11-06 15:31:29.000000,0.6.0,10.0,fastnlp,,,,,31.0,30.0,https://pypi.org/project/fastnlp,2019-02-04 02:35:37.000000,1.0,1087.0,1088.0,,,,,,,,3.0,54.0,,,,,,,,,,,,,,,,,,,,,\n385,SRU,asappresearch/sru,,pytorch-utils,https://github.com/asappresearch/sru,https://github.com/asappresearch/sru,MIT,2017-08-28 20:37:41.000000,2021-04-14 15:10:05.000000,2021-03-19 22:29:41.000000,286,49.0,63.0,1931,383.0,Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755).,21.0,24,True,2020-12-17 19:40:55.000000,2.6.0-rc1,24.0,sru,,,,['pytorch'],17.0,15.0,https://pypi.org/project/sru,2021-03-18 18:03:56.000000,2.0,2706.0,2706.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n386,pytorch-nlp,PetrochukM/PyTorch-NLP,,nlp,https://github.com/PetrochukM/PyTorch-NLP,https://github.com/PetrochukM/PyTorch-NLP,BSD-3-Clause,2018-02-25 05:00:36.000000,2021-04-08 15:39:47.000000,2021-01-26 22:23:57.000000,223,14.0,49.0,1892,445.0,Basic Utilities for PyTorch Natural Language Processing (NLP).,17.0,24,True,2019-11-04 05:16:00.000000,0.5.0,19.0,pytorch-nlp,,,,['pytorch'],217.0,199.0,https://pypi.org/project/pytorch-nlp,2019-11-04 04:35:18.000000,18.0,5744.0,5744.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n387,python_speech_features,jameslyons/python_speech_features,,audio,https://github.com/jameslyons/python_speech_features,https://github.com/jameslyons/python_speech_features,MIT,2013-10-31 02:42:08.000000,2020-12-31 13:27:02.000000,2020-12-31 13:27:01.000000,548,23.0,49.0,1878,120.0,This library provides common speech features for ASR including MFCCs and filterbank energies.,18.0,24,True,2020-01-14 14:12:10.000000,0.6.1,6.0,python_speech_features,,,,,300.0,,https://pypi.org/project/python_speech_features,2017-08-16 01:46:13.000000,300.0,80677.0,80677.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n388,Alphalens,quantopian/alphalens,,financial-data,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15.000000,2020-09-05 16:48:14.000000,2020-04-27 18:40:41.000000,693,38.0,145.0,1851,522.0,Performance analysis of predictive (alpha) stock factors.,25.0,24,True,2020-04-30 15:42:52.000000,0.4.0,10.0,alphalens,conda-forge/alphalens,,,,406.0,378.0,https://pypi.org/project/alphalens,2020-04-27 21:03:10.000000,28.0,3070.0,3366.0,https://anaconda.org/conda-forge/alphalens,2020-05-16 13:52:44.922000,11276.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n389,DDSP,magenta/ddsp,,audio,https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27.000000,2021-04-08 23:34:17.000000,2021-04-08 22:54:28.000000,179,15.0,96.0,1818,369.0,DDSP: Differentiable Digital Signal Processing.,25.0,24,True,2021-04-08 23:34:17.000000,1.3.0,31.0,ddsp,,,,['tensorflow'],10.0,10.0,https://pypi.org/project/ddsp,2021-04-08 23:34:17.000000,,2748.0,2748.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n390,efficientnet,qubvel/efficientnet,,tensorflow-utils,https://github.com/qubvel/efficientnet,https://github.com/qubvel/efficientnet,Apache-2.0,2019-05-30 20:21:09.000000,2020-12-10 07:02:58.000000,2020-09-15 16:19:36.000000,400,56.0,55.0,1778,64.0,Implementation of EfficientNet model. Keras and TensorFlow Keras.,8.0,24,True,2020-09-15 16:26:00.000000,1.1.1,9.0,efficientnet,,,,['tensorflow'],569.0,565.0,https://pypi.org/project/efficientnet,2020-09-15 16:26:00.000000,4.0,96787.0,103983.0,,,,,,,,3.0,165509.0,,,,,,,,,,,,,,,,,,,,,\n391,Spektral,danielegrattarola/spektral,,graph,https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10.000000,2021-04-13 08:12:44.000000,2021-03-24 08:34:28.000000,213,22.0,120.0,1697,945.0,Graph Neural Networks with Keras and Tensorflow 2.,16.0,24,True,2021-03-20 11:39:58.000000,1.0.6,29.0,spektral,,,,\"['tensorflow\"\"']\",46.0,46.0,https://pypi.org/project/spektral,2021-03-20 11:39:58.000000,0.0,3709.0,3709.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n392,HyperTools,ContextLab/hypertools,,data-viz,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25.000000,2021-01-06 14:11:39.000000,2021-01-06 14:11:38.000000,152,66.0,122.0,1622,1591.0,A Python toolbox for gaining geometric insights into high-dimensional data.,21.0,24,True,2020-10-02 21:41:53.000000,0.6.3,19.0,hypertools,,,,,119.0,110.0,https://pypi.org/project/hypertools,2020-10-02 21:41:53.000000,9.0,7005.0,7005.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n393,scattertext,JasonKessler/scattertext,,nlp,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12.000000,2021-03-08 07:54:17.000000,2021-03-08 07:43:55.000000,213,17.0,62.0,1545,346.0,Beautiful visualizations of how language differs among document types.,11.0,24,True,2021-03-08 07:54:17.000000,0.1.2,131.0,scattertext,conda-forge/scattertext,,,,182.0,166.0,https://pypi.org/project/scattertext,2021-03-08 07:54:17.000000,16.0,4863.0,5955.0,https://anaconda.org/conda-forge/scattertext,2021-01-18 15:00:35.497000,48066.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n394,Pandaral·lel,nalepae/pandarallel,,data-containers,https://github.com/nalepae/pandarallel,https://github.com/nalepae/pandarallel,BSD-3-Clause,2019-03-10 11:58:29.000000,2021-02-04 21:35:01.000000,2021-02-04 21:27:26.000000,102,68.0,55.0,1506,114.0,A simple and efficient tool to parallelize Pandas operations on all availableCPUs.,14.0,24,True,2021-02-04 21:35:01.000000,1.5.2,29.0,pandarallel,,,,\"['pandas', 'jupyter']\",181.0,181.0,https://pypi.org/project/pandarallel,2021-02-04 21:35:01.000000,0.0,411105.0,411105.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n395,dtreeviz,parrt/dtreeviz,,interpretability,https://github.com/parrt/dtreeviz,https://github.com/parrt/dtreeviz,MIT,2018-08-13 21:45:15.000000,2021-04-05 19:35:08.000000,2021-04-05 19:30:34.000000,199,17.0,77.0,1473,363.0,A python library for decision tree visualization and model interpretation.,16.0,24,True,2021-03-16 21:49:18.000000,1.2,23.0,dtreeviz,,,,,131.0,127.0,https://pypi.org/project/dtreeviz,2021-04-05 19:35:08.000000,4.0,29872.0,29872.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n396,sklearn-contrib-lightning,scikit-learn-contrib/lightning,,sklearn-utils,https://github.com/scikit-learn-contrib/lightning,https://github.com/scikit-learn-contrib/lightning,BSD-3-Clause,2012-01-11 13:53:52.000000,2021-03-14 21:31:42.000000,2021-03-14 21:31:42.000000,192,47.0,36.0,1444,701.0,\"Large-scale linear classification, regression and ranking in Python.\",17.0,24,True,2020-12-16 17:26:49.000000,0.6.0,8.0,sklearn-contrib-lightning,conda-forge/sklearn-contrib-lightning,,,['sklearn'],91.0,81.0,https://pypi.org/project/sklearn-contrib-lightning,2020-12-16 17:26:49.000000,10.0,495.0,2912.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2020-12-20 22:58:20.890000,137814.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n397,bonobo,python-bonobo/bonobo,,data-pipelines,https://github.com/python-bonobo/bonobo,https://github.com/python-bonobo/bonobo,Apache-2.0,2016-12-09 04:03:23.000000,2021-03-29 17:27:42.000000,2021-03-10 15:44:00.000000,115,66.0,108.0,1414,978.0,Extract Transform Load for Python 3.5+.,37.0,24,True,2019-05-16 13:19:48.000000,0.6.4,38.0,bonobo,,,http://docs.bonobo-project.org/en/master/,,165.0,113.0,https://pypi.org/project/bonobo,2019-07-20 13:33:19.000000,52.0,10394.0,10394.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n398,sense2vec,explosion/sense2vec,,nlp,https://github.com/explosion/sense2vec,https://github.com/explosion/sense2vec,MIT,2016-01-23 22:15:49.000000,2021-03-03 09:08:52.000000,2021-03-03 09:08:52.000000,204,15.0,82.0,1210,451.0,Contextually-keyed word vectors.,15.0,24,True,2021-02-07 06:12:02.000000,2.0.0,21.0,sense2vec,conda-forge/sense2vec,,,,70.0,58.0,https://pypi.org/project/sense2vec,2021-02-07 06:12:02.000000,12.0,5135.0,6453.0,https://anaconda.org/conda-forge/sense2vec,2020-03-16 22:19:07.337000,17333.0,,,,,3.0,14623.0,,,,,,,,,,,,,,,,,,,,,\n399,modAL,modAL-python/modAL,,others,https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000000,2021-03-22 13:32:18.000000,2021-01-07 09:40:40.000000,184,49.0,50.0,1188,648.0,A modular active learning framework for Python.,14.0,24,True,2021-01-07 09:47:49.000000,0.4.1,12.0,modAL,,,,['sklearn'],69.0,61.0,https://pypi.org/project/modAL,2021-01-07 09:47:49.000000,8.0,2154.0,2154.0,,,,,,,,3.0,11.0,,,,,,,,,,,,,,,,,,,,,\n400,metric-learn,scikit-learn-contrib/metric-learn,,others,https://github.com/scikit-learn-contrib/metric-learn,https://github.com/scikit-learn-contrib/metric-learn,MIT,2013-11-02 08:29:47.000000,2021-04-15 09:55:42.000000,2020-08-04 01:35:39.000000,216,52.0,109.0,1134,263.0,Metric learning algorithms in Python.,19.0,24,True,2020-07-02 12:59:23.000000,0.6.2,10.0,metric-learn,,,,['sklearn'],151.0,133.0,https://pypi.org/project/metric-learn,2020-07-02 12:59:23.000000,18.0,8411.0,8411.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n401,garage,rlworkgroup/garage,,reinforcement-learning,https://github.com/rlworkgroup/garage,https://github.com/rlworkgroup/garage,MIT,2018-06-10 21:31:23.000000,2021-04-15 11:05:35.000000,2021-04-13 20:53:48.000000,212,205.0,783.0,1132,1207.0,A toolkit for reproducible reinforcement learning research.,75.0,24,True,2021-03-23 22:18:36.000000,2021.3.0,21.0,garage,,,,['tensorflow'],16.0,16.0,https://pypi.org/project/garage,2021-03-23 22:18:36.000000,0.0,810.0,810.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n402,livelossplot,stared/livelossplot,,ml-experiments,https://github.com/stared/livelossplot,https://github.com/stared/livelossplot,MIT,2018-03-10 17:51:43.000000,2021-02-07 23:25:37.000000,2021-02-07 23:24:31.000000,137,3.0,70.0,1065,323.0,\"Live training loss plot in Jupyter Notebook for Keras, PyTorch and others.\",16.0,24,True,2021-02-03 16:25:47.000000,0.5.4,24.0,livelossplot,,,,['jupyter'],499.0,489.0,https://pypi.org/project/livelossplot,2021-02-03 16:25:47.000000,10.0,35804.0,35804.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n403,bt,pmorissette/bt,,financial-data,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28.000000,2021-03-12 12:40:19.000000,2021-03-02 14:20:40.000000,266,54.0,175.0,1037,414.0,bt - flexible backtesting for Python.,21.0,24,True,2021-02-01 05:24:40.000000,0.2.8,24.0,bt,,,,,69.0,49.0,https://pypi.org/project/bt,2021-02-01 05:24:40.000000,20.0,7855.0,7855.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n404,Optimus,ironmussa/Optimus,,data-pipelines,https://github.com/ironmussa/Optimus,https://github.com/ironmussa/Optimus,Apache-2.0,2017-07-13 02:31:18.000000,2021-04-15 02:15:52.000000,2021-04-15 00:35:07.000000,190,139.0,168.0,997,3530.0,\"Agile Data Preparation Workflows madeeasy with pandas, dask, cudf, dask_cudf and pyspark.\",21.0,24,True,2020-07-19 03:05:40.000000,2.2.32,85.0,optimuspyspark,,,,['spark'],14.0,14.0,https://pypi.org/project/optimuspyspark,2019-05-30 02:22:54.000000,,11245.0,11245.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n405,spacy-transformers,explosion/spacy-transformers,,nlp,https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000000,2021-04-08 10:32:45.000000,2021-04-08 10:32:45.000000,109,48.0,,932,1325.0,\"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.\",15.0,24,True,2021-02-02 10:57:09.000000,1.0.1,44.0,spacy-transformers,,,,['spacy'],114.0,108.0,https://pypi.org/project/spacy-transformers,2021-02-02 09:54:58.000000,6.0,29200.0,29200.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n406,SciSpacy,allenai/scispacy,,nlp,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52.000000,2021-03-19 17:27:14.000000,2021-03-19 17:27:14.000000,129,22.0,152.0,882,925.0,A full spaCy pipeline and models for scientific/biomedical documents.,19.0,24,True,2021-02-12 22:56:06.000000,0.4.0,10.0,scispacy,,,,,244.0,232.0,https://pypi.org/project/scispacy,2021-02-12 22:56:06.000000,12.0,17008.0,17008.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n407,PennyLane,PennyLaneAI/PennyLane,,others,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000000,2021-04-15 15:13:21.000000,2021-04-15 06:43:42.000000,236,60.0,263.0,832,1865.0,PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum..,44.0,24,True,2021-02-12 15:50:08.000000,0.14.1,20.0,pennylane,,,,,20.0,,https://pypi.org/project/pennylane,2021-02-12 15:49:56.000000,20.0,5141.0,5142.0,,,,,,,,3.0,56.0,,,,,,,,,,,,,,,,,,,,,\n408,pyopencl,inducer/pyopencl,,others,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,MIT,2011-04-06 02:51:33.000000,2021-04-14 14:58:40.000000,2021-04-14 14:58:39.000000,216,59.0,214.0,801,,\"OpenCL integration for Python, plus shiny features.\",86.0,24,True,2021-04-03 02:30:03.000000,2021.1.5,61.0,pyopencl,conda-forge/pyopencl,,,,735.0,497.0,https://pypi.org/project/pyopencl,2021-04-05 18:20:12.000000,238.0,17713.0,24590.0,https://anaconda.org/conda-forge/pyopencl,2021-04-05 21:08:34.776000,371381.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n409,openTSNE,pavlin-policar/openTSNE,,data-viz,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000000,2021-04-11 12:02:53.887000,2021-04-11 08:43:37.000000,84,6.0,76.0,780,525.0,\"Extensible, parallel implementations of t-SNE.\",10.0,24,True,2021-04-11 09:09:57.000000,0.5.2,20.0,opentsne,conda-forge/opentsne,,,,204.0,200.0,https://pypi.org/project/opentsne,2021-04-11 09:09:57.000000,4.0,15687.0,18868.0,https://anaconda.org/conda-forge/opentsne,2021-04-11 12:02:53.887000,89085.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n410,empyrical,quantopian/empyrical,,financial-data,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52.000000,2020-10-14 13:28:13.625000,2020-10-14 13:22:39.000000,239,27.0,26.0,757,167.0,Common financial risk and performance metrics. Used by zipline and pyfolio.,22.0,24,True,2020-10-13 21:29:19.000000,0.5.5,21.0,empyrical,conda-forge/empyrical,,,,799.0,577.0,https://pypi.org/project/empyrical,2020-10-13 21:29:19.000000,222.0,47258.0,47541.0,https://anaconda.org/conda-forge/empyrical,2020-10-14 13:28:13.625000,10779.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n411,PySwarms,ljvmiranda921/pyswarms,,others,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45.000000,2021-04-02 00:26:48.000000,2021-04-02 00:26:45.000000,236,21.0,156.0,757,408.0,A research toolkit for particle swarm optimization in Python.,43.0,24,True,2021-01-03 21:34:15.000000,1.3.0,20.0,pyswarms,,,,,98.0,98.0,https://pypi.org/project/pyswarms,2021-01-03 21:34:15.000000,0.0,5463.0,5463.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n412,GPyOpt,SheffieldML/GPyOpt,,hyperopt,https://github.com/SheffieldML/GPyOpt,https://github.com/SheffieldML/GPyOpt,BSD-3-Clause,2014-08-13 09:58:25.000000,2020-11-17 10:32:02.000000,2020-11-05 15:16:04.000000,220,100.0,186.0,726,514.0,Gaussian Process Optimization using GPy.,49.0,24,True,2020-03-19 21:21:18.000000,1.2.6,11.0,gpyopt,,,,,221.0,185.0,https://pypi.org/project/gpyopt,2020-03-19 11:37:45.000000,36.0,11282.0,11282.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n413,mahotas,luispedro/mahotas,,image,https://github.com/luispedro/mahotas,https://github.com/luispedro/mahotas,MIT,2010-01-31 00:13:06.000000,2021-01-22 05:47:20.379000,2021-01-13 11:55:02.000000,132,16.0,57.0,679,1276.0,Computer Vision in Python.,30.0,24,True,2020-08-16 17:22:48.000000,1.4.11,57.0,mahotas,conda-forge/mahotas,,,,801.0,611.0,https://pypi.org/project/mahotas,2020-08-16 17:22:48.000000,190.0,35636.0,40074.0,https://anaconda.org/conda-forge/mahotas,2021-01-22 05:47:20.379000,270731.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n414,SALib,SALib/SALib,,probabilistics,https://github.com/SALib/SALib,https://github.com/SALib/SALib,MIT,2013-05-30 13:38:10.000000,2021-04-13 07:42:09.000000,2021-03-27 23:50:47.000000,143,41.0,190.0,449,915.0,\"Sensitivity Analysis Library in Python (Numpy). Contains Sobol, Morris, Fractional Factorial and FAST methods.\",24.0,24,True,2020-11-12 17:13:12.000000,1.3.12,29.0,salib,conda-forge/salib,,,,44.0,,https://pypi.org/project/salib,2020-11-19 15:36:26.000000,44.0,28068.0,29227.0,https://anaconda.org/conda-forge/salib,2020-10-24 17:04:41.614000,61469.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n415,findspark,minrk/findspark,,others,https://github.com/minrk/findspark,https://github.com/minrk/findspark,BSD-3-Clause,2015-06-12 21:34:06.000000,2020-06-08 09:32:35.000000,2020-06-08 09:31:58.000000,68,11.0,8.0,395,67.0,Find pyspark to make it importable.,14.0,24,True,2020-06-08 09:32:23.000000,1.4.2,12.0,findspark,conda-forge/findspark,,,['spark'],1829.0,1627.0,https://pypi.org/project/findspark,2020-06-08 09:32:23.000000,202.0,1042171.0,1051273.0,https://anaconda.org/conda-forge/findspark,2018-07-06 12:57:33.438000,527955.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n416,sklearn-crfsuite,TeamHG-Memex/sklearn-crfsuite,,sklearn-utils,https://github.com/TeamHG-Memex/sklearn-crfsuite,https://github.com/TeamHG-Memex/sklearn-crfsuite,MIT,2015-11-26 21:15:41.000000,2020-12-30 08:00:27.000000,2019-12-05 08:17:22.000000,155,33.0,22.0,368,46.0,scikit-learn inspired API for CRFsuite.,6.0,24,False,2017-06-22 18:49:27.000000,0.3.6,9.0,sklearn-crfsuite,,,,['sklearn'],3023.0,2627.0,https://pypi.org/project/sklearn-crfsuite,2017-06-22 18:49:27.000000,396.0,107231.0,107231.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n417,messytables,okfn/messytables,,data-loading,https://github.com/okfn/messytables,https://github.com/okfn/messytables,MIT,2011-07-27 18:08:21.000000,2021-03-31 18:37:21.000000,2019-11-13 07:35:33.000000,101,34.0,55.0,364,601.0,Tools for parsing messy tabular data. This is now superseded by https://github.com/frictionlessdata/tabulator-py.,44.0,24,False,2017-02-09 12:37:47.000000,0.15.2,26.0,messytables,,,,,415.0,183.0,https://pypi.org/project/messytables,2017-02-09 12:37:47.000000,232.0,8166.0,8166.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n418,pyvips,libvips/pyvips,,image,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000000,2021-03-19 19:33:38.000000,2021-02-24 09:49:23.000000,26,73.0,142.0,308,392.0,python binding for libvips using cffi.,10.0,24,True,2020-12-18 11:44:57.000000,2.1.14,20.0,pyvips,conda-forge/pyvips,,,,191.0,169.0,https://pypi.org/project/pyvips,2020-12-18 11:44:57.000000,22.0,11864.0,12268.0,https://anaconda.org/conda-forge/pyvips,2020-10-14 10:02:33.542000,8099.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n419,ml-metadata,google/ml-metadata,,ml-experiments,https://github.com/google/ml-metadata,https://github.com/google/ml-metadata,Apache-2.0,2019-01-15 21:02:09.000000,2021-04-15 02:03:37.000000,2021-04-15 02:03:34.000000,63,17.0,44.0,303,488.0,For recording and retrieving metadata associated with ML developer and data scientist workflows.,12.0,24,True,2021-03-23 02:10:46.000000,0.29.0,25.0,ml-metadata,,,,,101.0,101.0,https://pypi.org/project/ml-metadata,2021-03-23 02:10:46.000000,0.0,343273.0,343323.0,,,,,,,,3.0,1256.0,,,,,,,,,,,,,,,,,,,,,\n420,pysparkling,svenkreiss/pysparkling,,data-pipelines,https://github.com/svenkreiss/pysparkling,https://github.com/svenkreiss/pysparkling,MIT,2015-05-09 19:23:20.000000,2021-03-05 14:35:43.000000,2021-02-22 17:29:11.000000,45,7.0,21.0,231,1527.0,A pure Python implementation of Apache Spark's RDD and DStream interfaces.,10.0,24,True,2021-01-10 21:15:26.000000,0.6.1,68.0,pysparkling,,,,,76.0,62.0,https://pypi.org/project/pysparkling,2021-01-10 21:15:26.000000,14.0,12262.0,12262.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n421,Orion,Epistimio/orion,,hyperopt,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21.000000,2021-04-14 16:49:52.000000,2021-04-08 02:22:09.000000,40,39.0,114.0,189,2716.0,Asynchronous Distributed Hyperparameter Optimization.,23.0,24,True,2021-04-08 01:19:08.000000,0.1.14,15.0,orion,,,,,48.0,40.0,https://pypi.org/project/orion,2021-04-08 01:19:08.000000,8.0,2948.0,2948.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n422,cortex,cortexlabs/cortex,,model-serialisation,https://github.com/cortexlabs/cortex,https://github.com/cortexlabs/cortex,Apache-2.0,2019-01-24 04:43:14.000000,2021-04-15 14:02:07.000000,2021-04-14 21:50:55.000000,571,151.0,854.0,7444,2034.0,\"Deploy, manage, and scale machine learning models in production.\",21.0,23,True,2021-04-13 21:41:02.000000,0.33.0,52.0,cortex,,,,,0.0,,https://pypi.org/project/cortex,2021-04-13 21:24:41.000000,0.0,1887.0,1887.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n423,Ciphey,Ciphey/Ciphey,,nlp,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39.000000,2021-04-13 19:00:43.000000,2021-04-13 19:00:38.000000,374,41.0,188.0,6693,1745.0,\"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.\",40.0,23,True,2021-02-28 10:55:16.000000,5.11.1,44.0,ciphey,,remnux/ciphey,,,,,https://pypi.org/project/ciphey,2021-02-28 10:54:10.000000,,7275.0,7707.0,,,,https://hub.docker.com/r/remnux/ciphey,2021-02-28 19:47:10.077074,3.0,9082.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n424,snownlp,isnowfy/snownlp,,chinese-nlp,https://github.com/isnowfy/snownlp,https://github.com/isnowfy/snownlp,MIT,2013-11-26 11:46:56.000000,2020-01-19 02:39:05.000000,2020-01-19 02:39:03.000000,1266,36.0,65.0,5366,57.0,Python library for processing Chinese text.,8.0,23,False,2015-09-27 16:35:23.000000,0.12.3,17.0,snownlp,,,,,640.0,564.0,https://pypi.org/project/snownlp,2015-09-27 16:35:23.000000,76.0,5183.0,5183.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n425,Apex,NVIDIA/apex,,gpu-utilities,https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000000,2021-04-15 09:36:26.000000,2021-04-15 09:19:20.000000,727,467.0,368.0,5236,836.0,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,82.0,23,True,,,1.0,,conda-forge/nvidia-apex,,,['pytorch'],516.0,516.0,,,,,2193.0,https://anaconda.org/conda-forge/nvidia-apex,2020-11-23 18:41:00.769000,39482.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n426,PaddleHub,PaddlePaddle/PaddleHub,,others,https://github.com/PaddlePaddle/PaddleHub,https://github.com/PaddlePaddle/PaddleHub,Apache-2.0,2018-12-21 06:00:48.000000,2021-04-14 00:38:22.000000,2021-04-14 00:38:22.000000,1070,345.0,548.0,4917,,\"Awesome pre-trained models toolkit based on PaddlePaddle.300+ models including Image, Text, Audio and Video with Easy..\",35.0,23,True,2021-03-02 06:45:07.000000,2.0.3,43.0,paddlehub,,,,['paddle'],165.0,165.0,https://pypi.org/project/paddlehub,2021-03-02 06:45:07.000000,0.0,3091.0,3110.0,,,,,,,,3.0,488.0,,,,,,,,,,,,,,,,,,,,,\n427,flashtext,vi3k6i5/flashtext,,nlp,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01.000000,2020-06-05 00:37:46.000000,2020-05-03 07:13:22.000000,542,52.0,49.0,4712,108.0,Extract Keywords from sentence or Replace keywords in sentences.,8.0,23,True,,,18.0,flashtext,,,,,441.0,409.0,https://pypi.org/project/flashtext,2018-02-16 05:24:17.000000,32.0,309777.0,309777.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n428,textgenrnn,minimaxir/textgenrnn,,nlp,https://github.com/minimaxir/textgenrnn,https://github.com/minimaxir/textgenrnn,MIT,2017-08-07 02:13:37.000000,2020-12-25 03:33:19.000000,2020-07-14 02:41:10.000000,681,117.0,82.0,4344,174.0,Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines..,19.0,23,True,2020-02-03 01:07:00.000000,2.0.0,14.0,textgenrnn,,,,['tensorflow'],806.0,778.0,https://pypi.org/project/textgenrnn,2020-02-02 21:16:15.000000,28.0,7010.0,7023.0,,,,,,,,3.0,488.0,,,,,,,,,,,,,,,,,,,,,\n429,neon,NervanaSystems/neon,,ml-frameworks,https://github.com/NervanaSystems/neon,https://github.com/NervanaSystems/neon,Apache-2.0,2014-10-16 01:00:17.000000,2020-12-23 01:21:42.000000,2019-05-22 18:27:54.000000,848,87.0,305.0,3852,1118.0,Intel Nervana reference deep learning framework committed to best performance on all hardware.,109.0,23,False,2018-01-05 23:25:04.000000,2.6.0,32.0,nervananeon,,,,,45.0,44.0,https://pypi.org/project/nervananeon,2018-01-05 23:25:04.000000,1.0,193.0,197.0,,,,,,,,3.0,307.0,,,,,,,,,,,,,,,,,,,,,\n430,Image Deduplicator,idealo/imagededup,,image,https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54.000000,2021-03-16 10:25:33.000000,2020-11-23 17:40:40.000000,288,20.0,57.0,3488,460.0,Finding duplicate images made easy!.,9.0,23,True,2020-11-23 17:55:24.000000,0.2.4,9.0,imagededup,,,,['tensorflow'],13.0,11.0,https://pypi.org/project/imagededup,2020-11-22 21:09:36.000000,2.0,2600.0,2600.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n431,Snips NLU,snipsco/snips-nlu,,nlp,https://github.com/snipsco/snips-nlu,https://github.com/snipsco/snips-nlu,Apache-2.0,2017-02-08 16:16:36.000000,2020-12-24 12:59:47.000000,2020-02-08 21:49:32.000000,466,51.0,196.0,3476,2153.0,Snips Python library to extract meaning from text.,21.0,23,False,2020-01-15 10:13:17.000000,0.20.2,58.0,snips-nlu,,,,,16.0,,https://pypi.org/project/snips-nlu,2020-01-15 10:13:17.000000,16.0,5962.0,5962.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n432,PyAlgoTrade,gbeced/pyalgotrade,,financial-data,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54.000000,2021-03-12 21:20:56.000000,2018-08-21 02:42:52.000000,1187,45.0,81.0,3277,1156.0,Python Algorithmic Trading Library.,11.0,23,False,,,8.0,pyalgotrade,,,,,94.0,73.0,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25.000000,21.0,829.0,829.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n433,segmentation_models,qubvel/segmentation_models,,image,https://github.com/qubvel/segmentation_models,https://github.com/qubvel/segmentation_models,MIT,2018-06-05 13:27:56.000000,2021-04-02 06:02:48.000000,2020-04-17 09:51:20.000000,714,162.0,243.0,3104,204.0,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,14.0,23,True,2020-01-10 11:36:02.000000,1.0.1,8.0,segmentation_models,,,,['tensorflow'],24.0,,https://pypi.org/project/segmentation_models,2020-01-10 11:36:02.000000,24.0,18222.0,18222.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n434,Camelot,atlanhq/camelot,,data-loading,https://github.com/atlanhq/camelot,https://github.com/atlanhq/camelot,MIT,2016-06-18 11:48:49.000000,2020-07-27 12:28:15.000000,2019-10-15 05:25:40.000000,308,68.0,275.0,3025,446.0,Camelot: PDF Table Extraction for Humans.,23.0,23,False,2020-07-27 12:28:15.000000,0.8.2,21.0,camelot-py,,,,,20.0,,https://pypi.org/project/camelot-py,2020-07-27 12:28:15.000000,20.0,28313.0,28313.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n435,SHOGUN,shogun-toolbox/shogun,,ml-frameworks,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32.000000,2021-03-05 12:19:13.000000,2020-12-08 16:56:38.000000,1049,467.0,1077.0,2814,16205.0,Unified and efficient Machine Learning.,248.0,23,True,2019-07-05 10:23:31.000000,shogun_6.1.4,10.0,,conda-forge/shogun,shogun/shogun,,,,,,,,,2156.0,https://anaconda.org/conda-forge/shogun,2018-06-25 20:49:17.070000,96500.0,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1448.0,3.0,,,,,,,,,,shogun,,,,,,,,,,,,\n436,Porcupine,Picovoice/Porcupine,,audio,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000000,2021-04-14 22:46:54.000000,2021-04-14 22:46:50.000000,342,8.0,293.0,2398,434.0,On-device wake word detection powered by deep learning.,26.0,23,True,2021-04-14 16:39:57.000000,1.9.5,19.0,pvporcupine,,,,,5.0,5.0,https://pypi.org/project/pvporcupine,2021-04-14 16:39:57.000000,0.0,1621.0,1621.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n437,Gradio,gradio-app/gradio,,others,https://github.com/gradio-app/gradio,https://github.com/gradio-app/gradio,Apache-2.0,2018-12-19 08:24:04.000000,2021-03-26 21:21:50.000000,2021-03-26 21:21:45.000000,143,6.0,84.0,2291,969.0,\"Wrap UIs around any model, share with anyone.\",16.0,23,True,2021-03-12 19:09:36.000000,1.6.4,89.0,gradio,,,,,101.0,99.0,https://pypi.org/project/gradio,2021-03-12 19:09:36.000000,2.0,4281.0,4281.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n438,analytics-zoo,intel-analytics/analytics-zoo,,distributed-ml,https://github.com/intel-analytics/analytics-zoo,https://github.com/intel-analytics/analytics-zoo,Apache-2.0,2017-05-05 02:27:30.000000,2021-04-15 14:26:18.000000,2021-04-15 07:30:34.000000,649,480.0,581.0,2265,2828.0,\"Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray.\",89.0,23,True,2020-12-17 03:25:36.000000,0.9.0,64.0,analytics-zoo,,,,['spark'],2.0,2.0,https://pypi.org/project/analytics-zoo,2021-04-04 16:21:44.000000,,2703.0,2703.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n439,neuralcoref,huggingface/neuralcoref,,nlp,https://github.com/huggingface/neuralcoref,https://github.com/huggingface/neuralcoref,MIT,2017-07-03 13:04:16.000000,2021-02-24 08:54:06.000000,2021-02-24 08:54:03.000000,395,48.0,219.0,2255,115.0,Fast Coreference Resolution in spaCy with Neural Networks.,20.0,23,True,2019-04-08 11:28:27.000000,4.0.0,5.0,neuralcoref,conda-forge/neuralcoref,,,,338.0,320.0,https://pypi.org/project/neuralcoref,2019-04-08 09:56:00.000000,18.0,6713.0,7238.0,https://anaconda.org/conda-forge/neuralcoref,2020-02-21 22:10:40.453000,7295.0,,,,,3.0,191.0,,,,,,,,,,,,,,,,,,,,,\n440,PandasGUI,adamerose/pandasgui,,data-viz,https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT,2019-06-12 02:19:42.000000,2021-03-29 13:09:18.000000,2021-03-29 13:09:13.000000,122,27.0,74.0,2150,403.0,A GUI for Pandas DataFrames.,8.0,23,True,2021-03-07 08:16:51.000000,0.2.10,40.0,pandasgui,,,,['pandas'],61.0,59.0,https://pypi.org/project/pandasgui,2021-03-07 08:16:51.000000,2.0,3140.0,3140.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n441,scikit-opt,guofei9987/scikit-opt,,sklearn-utils,https://github.com/guofei9987/scikit-opt,https://github.com/guofei9987/scikit-opt,MIT,2017-12-05 10:20:41.000000,2021-04-03 05:58:51.000000,2021-04-03 05:58:41.000000,499,28.0,69.0,2145,268.0,\"Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune..\",10.0,23,True,2021-03-27 15:31:11.000000,0.6.3,20.0,scikit-opt,,,,['sklearn'],33.0,30.0,https://pypi.org/project/scikit-opt,2021-03-27 15:27:39.000000,3.0,1663.0,1663.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n442,ART,Trusted-AI/adversarial-robustness-toolbox,,adversarial,https://github.com/Trusted-AI/adversarial-robustness-toolbox,https://github.com/Trusted-AI/adversarial-robustness-toolbox,MIT,2018-03-15 14:40:43.000000,2021-04-15 15:10:52.000000,2021-04-14 22:44:52.000000,606,97.0,395.0,2140,,\"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..\",65.0,23,True,2021-03-16 17:32:26.000000,1.6.0,30.0,adversarial-robustness-toolbox,,,,,112.0,112.0,https://pypi.org/project/adversarial-robustness-toolbox,2021-03-16 14:39:19.000000,0.0,4482.0,4482.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n443,Enigma Catalyst,enigmampc/catalyst,,financial-data,https://github.com/enigmampc/catalyst,https://github.com/enigmampc/catalyst,Apache-2.0,2017-06-13 22:31:34.000000,2021-01-05 19:10:30.000000,2020-12-28 10:58:58.000000,607,135.0,363.0,2106,6362.0,An Algorithmic Trading Library for Crypto-Assets in Python.,144.0,23,True,2018-11-11 16:46:28.000000,0.5.21,52.0,enigma-catalyst,,,,,24.0,22.0,https://pypi.org/project/enigma-catalyst,2018-11-11 16:46:28.000000,2.0,2608.0,2608.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n444,TF Ranking,tensorflow/ranking,,recommender-systems,https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57.000000,2021-02-04 05:28:32.000000,2021-02-04 05:28:28.000000,373,26.0,204.0,2096,325.0,Learning to Rank in TensorFlow.,20.0,23,True,2021-02-02 16:58:47.000000,0.3.3,15.0,tensorflow_ranking,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow_ranking,2021-01-30 02:05:46.000000,2.0,76306.0,76306.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n445,Hyperas,maxpumperla/hyperas,,hyperopt,https://github.com/maxpumperla/hyperas,https://github.com/maxpumperla/hyperas,MIT,2016-02-19 14:45:10.000000,2020-12-22 08:31:48.000000,2020-12-22 08:31:47.000000,304,88.0,158.0,2084,209.0,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,21.0,23,True,2019-02-28 09:16:54.000000,0.4.1,9.0,hyperas,,,,['tensorflow'],42.0,,https://pypi.org/project/hyperas,2019-02-28 09:16:54.000000,42.0,42549.0,42549.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n446,Acme,deepmind/acme,,reinforcement-learning,https://github.com/deepmind/acme,https://github.com/deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000000,2021-04-15 08:20:10.000000,2021-04-15 08:19:52.000000,203,43.0,50.0,2016,410.0,A library of reinforcement learning components and agents.,37.0,23,True,2020-10-23 16:00:01.000000,0.2.0,9.0,dm-acme,,,,['tensorflow'],26.0,26.0,https://pypi.org/project/dm-acme,2020-10-23 16:00:01.000000,,1510.0,1510.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n447,PyFlux,RJT1990/pyflux,,time-series-data,https://github.com/RJT1990/pyflux,https://github.com/RJT1990/pyflux,BSD-3-Clause,2016-02-16 20:12:02.000000,2019-03-19 10:45:02.000000,2018-12-16 15:30:13.000000,210,79.0,65.0,1866,118.0,Open source time series library for Python.,6.0,23,False,2017-11-21 16:27:06.000000,0.4.16,35.0,pyflux,,,,,209.0,179.0,https://pypi.org/project/pyflux,2017-11-21 16:27:06.000000,30.0,18761.0,18761.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n448,GluonTS,awslabs/gluon-ts,,time-series-data,https://github.com/awslabs/gluon-ts,https://github.com/awslabs/gluon-ts,Apache-2.0,2019-05-15 17:17:29.000000,2021-04-15 12:53:43.000000,2021-04-15 07:08:11.000000,387,208.0,371.0,1841,689.0,Probabilistic time series modeling in Python.,71.0,23,True,2021-02-18 17:21:15.000000,0.6.7,30.0,gluonts,,,,['mxnet'],0.0,,https://pypi.org/project/gluonts,2021-02-18 17:21:15.000000,0.0,34660.0,34660.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n449,Essentia,MTG/essentia,,audio,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000000,2021-04-15 13:54:00.000000,2021-04-07 11:09:37.000000,408,307.0,573.0,1786,2803.0,\"C++ library for audio and music analysis, description and synthesis, including Python bindings.\",71.0,23,False,2015-03-31 16:33:30.000000,2.0,9.0,essentia,,,,,182.0,172.0,https://pypi.org/project/essentia,2021-01-13 00:12:18.000000,10.0,4058.0,4058.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n450,vidgear,abhiTronix/vidgear,,image,https://github.com/abhiTronix/vidgear,https://github.com/abhiTronix/vidgear,Apache-2.0,2019-03-17 02:42:42.000000,2021-04-11 01:21:14.000000,2021-01-01 04:26:42.000000,120,6.0,135.0,1718,547.0,High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features.,5.0,23,True,2021-01-01 07:57:09.000000,0.2.0,12.0,vidgear,,,,,98.0,96.0,https://pypi.org/project/vidgear,2021-01-01 07:57:09.000000,2.0,2070.0,2083.0,,,,,,,,3.0,336.0,,,,,,,,,,,,,,,,,,,,,\n451,Pillow-SIMD,uploadcare/pillow-simd,,image,https://github.com/uploadcare/pillow-simd,https://github.com/uploadcare/pillow-simd,PIL,2014-11-12 15:33:02.000000,2021-03-29 10:51:57.000000,2020-06-02 14:50:14.000000,65,11.0,54.0,1580,,The friendly PIL fork.,310.0,23,False,2020-01-02 05:19:26.000000,7.0.0,35.0,pillow-simd,,,,,434.0,384.0,https://pypi.org/project/pillow-simd,2020-01-26 14:30:27.000000,50.0,33623.0,33623.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n452,PyTextRank,DerwenAI/pytextrank,,nlp,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000000,2021-04-05 06:05:29.000000,2021-04-05 06:05:28.000000,300,17.0,47.0,1524,,Python implementation of TextRank for phrase extraction and summarization of text documents.,13.0,23,True,2021-03-25 19:46:28.000000,3.1.1,15.0,pytextrank,,,,,154.0,142.0,https://pypi.org/project/pytextrank,2021-03-25 19:46:28.000000,12.0,10685.0,10685.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n453,streamparse,Parsely/streamparse,,data-pipelines,https://github.com/Parsely/streamparse,https://github.com/Parsely/streamparse,Apache-2.0,2014-05-02 20:33:50.000000,2020-12-18 18:44:04.000000,2020-12-18 18:43:59.000000,219,69.0,263.0,1431,1059.0,\"Run Python in Apache Storm topologies. Pythonic API, CLI tooling, and a topology DSL.\",40.0,23,True,2020-10-07 19:53:15.000000,4.0.0,47.0,streamparse,,,,,100.0,48.0,https://pypi.org/project/streamparse,2020-10-07 19:45:19.000000,52.0,3286.0,3286.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n454,Magnitude,plasticityai/magnitude,,nn-search,https://github.com/plasticityai/magnitude,https://github.com/plasticityai/magnitude,MIT,2018-02-24 07:28:16.000000,2021-02-23 18:10:43.000000,2020-07-17 20:19:46.000000,99,27.0,50.0,1402,350.0,\"A fast, efficient universal vector embedding utility package.\",4.0,23,True,2020-05-25 11:26:36.000000,0.1.143,128.0,pymagnitude,,,,,200.0,186.0,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36.000000,14.0,6367.0,6367.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n455,Talos,autonomio/talos,,hyperopt,https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41.000000,2021-04-10 08:48:31.000000,2020-11-21 16:27:04.000000,228,41.0,348.0,1387,538.0,\"Hyperparameter Optimization for TensorFlow, Keras and PyTorch.\",19.0,23,True,2020-11-09 16:48:30.000000,1.0,14.0,talos,,,,['tensorflow'],118.0,112.0,https://pypi.org/project/talos,2020-11-09 16:49:08.000000,6.0,2506.0,2506.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n456,TNT,pytorch/tnt,,ml-experiments,https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58.000000,2021-01-22 09:14:29.000000,2021-01-05 19:36:17.000000,187,30.0,34.0,1307,156.0,\"Simple tools for logging and visualizing, loading and training.\",35.0,23,True,2019-11-15 12:57:59.000000,0.0.5.1,3.0,torchnet,,,,['pytorch'],607.0,557.0,https://pypi.org/project/torchnet,2018-07-29 23:16:03.000000,50.0,6598.0,6598.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n457,fklearn,nubank/fklearn,,ml-frameworks,https://github.com/nubank/fklearn,https://github.com/nubank/fklearn,Apache-2.0,2019-02-27 14:32:57.000000,2021-04-08 18:09:58.000000,2021-02-09 20:46:53.000000,149,19.0,20.0,1305,117.0,fklearn: Functional Machine Learning.,37.0,23,True,2021-02-09 17:12:04.000000,1.22.0,20.0,fklearn,,,,,10.0,10.0,https://pypi.org/project/fklearn,2021-02-09 17:12:04.000000,,6622.0,6622.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n458,Pypeline,cgarciae/pypeln,,data-pipelines,https://github.com/cgarciae/pypeln,https://github.com/cgarciae/pypeln,MIT,2018-09-01 13:43:31.000000,2021-04-13 00:55:39.000000,2021-04-13 00:55:39.000000,69,14.0,36.0,1219,235.0,Concurrent data pipelines in Python .,10.0,23,True,2021-01-05 18:00:06.000000,0.4.7,34.0,pypeln,,,,,10.0,,https://pypi.org/project/pypeln,2021-01-05 18:00:06.000000,10.0,18417.0,18417.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n459,Alibi,SeldonIO/alibi,,interpretability,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Apache-2.0,2019-02-26 10:10:56.000000,2021-04-15 05:08:00.000000,2021-04-14 14:11:58.000000,119,75.0,90.0,959,253.0,Algorithms for monitoring and explaining machine learning models.,12.0,23,True,2021-03-31 13:51:42.000000,0.5.7,17.0,alibi,,,,,95.0,77.0,https://pypi.org/project/alibi,2021-02-18 12:48:56.000000,18.0,9001.0,9001.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n460,FairScale,facebookresearch/fairscale,,distributed-ml,https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000000,2021-04-15 02:50:31.000000,2021-04-15 02:50:28.000000,71,36.0,115.0,953,400.0,PyTorch extensions for high performance and large scale training.,27.0,23,True,2021-04-13 22:21:27.000000,0.3.4,16.0,fairscale,,,,['pytorch'],11.0,11.0,https://pypi.org/project/fairscale,2021-04-02 16:18:08.000000,0.0,25945.0,25945.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n461,ChainerRL,chainer/chainerrl,,reinforcement-learning,https://github.com/chainer/chainerrl,https://github.com/chainer/chainerrl,MIT,2017-01-30 04:58:15.000000,2021-04-14 02:25:19.000000,2021-04-14 02:25:19.000000,206,75.0,146.0,936,3469.0,ChainerRL is a deep reinforcement learning library built on top of Chainer.,29.0,23,True,2020-02-14 05:35:56.000000,0.8.0,10.0,chainerrl,,,,,110.0,96.0,https://pypi.org/project/chainerrl,2020-02-14 05:35:56.000000,14.0,705.0,705.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n462,ogb,snap-stanford/ogb,,graph,https://github.com/snap-stanford/ogb,https://github.com/snap-stanford/ogb,MIT,2019-11-22 22:13:57.000000,2021-04-15 06:53:38.000000,2021-04-15 06:53:32.000000,154,3.0,124.0,880,511.0,\"Benchmark datasets, data loaders, and evaluators for graph machine learning.\",14.0,23,True,2021-04-07 08:44:37.000000,1.3.1,14.0,ogb,,,,,81.0,81.0,https://pypi.org/project/ogb,2021-04-07 08:44:37.000000,0.0,8092.0,8092.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n463,keract,philipperemy/keract,,interpretability,https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57.000000,2021-02-04 06:05:42.000000,2021-01-24 05:36:29.000000,178,3.0,75.0,875,359.0,Layers Outputs and Gradients in Keras. Made easy.,15.0,23,True,2021-01-22 09:01:30.000000,4.4.0,37.0,keract,,,,['tensorflow'],79.0,74.0,https://pypi.org/project/keract,2021-01-22 09:01:30.000000,5.0,2401.0,2401.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n464,scikit-cuda,lebedov/scikit-cuda,,gpu-utilities,https://github.com/lebedov/scikit-cuda,https://github.com/lebedov/scikit-cuda,BSD-3-Clause,2010-09-27 02:02:07.000000,2021-03-30 14:24:47.000000,2021-03-30 14:24:27.000000,158,42.0,165.0,817,1029.0,Python interface to GPU-powered libraries.,44.0,23,True,2019-05-27 00:29:00.000000,0.5.3,7.0,scikit-cuda,,,,,195.0,125.0,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00.000000,70.0,833.0,833.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n465,Opacus,pytorch/opacus,,privacy-ml,https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000000,2021-04-14 20:28:09.000000,2021-04-14 20:19:23.000000,111,14.0,63.0,787,236.0,Training PyTorch models with differential privacy.,28.0,23,True,2021-03-10 19:25:01.000000,0.13.0,8.0,opacus,,,,['pytorch'],25.0,25.0,https://pypi.org/project/opacus,2021-03-10 19:25:01.000000,0.0,8843.0,8845.0,,,,,,,,2.0,31.0,,,,,,,,,,,,,,,,,,,,,\n466,GPUtil,anderskm/gputil,,gpu-utilities,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43.000000,2020-10-01 05:42:49.000000,2019-08-16 09:00:15.000000,77,11.0,14.0,704,140.0,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,13.0,23,False,2018-12-18 09:12:13.000000,1.4.0,8.0,gputil,,,,,1215.0,1113.0,https://pypi.org/project/gputil,2018-12-18 09:12:13.000000,102.0,99712.0,99712.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n467,arch,bashtage/arch,,financial-data,https://github.com/bashtage/arch,https://github.com/bashtage/arch,NCSA,2014-08-29 15:41:28.000000,2021-04-15 12:47:33.000000,2021-04-13 09:34:44.000000,163,13.0,134.0,683,,ARCH models in Python.,26.0,23,False,2021-03-16 08:28:41.000000,4.19,32.0,arch,,,,,320.0,278.0,https://pypi.org/project/arch,2021-03-16 08:30:20.000000,42.0,64198.0,64198.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n468,pingouin,raphaelvallat/pingouin,,probabilistics,https://github.com/raphaelvallat/pingouin,https://github.com/raphaelvallat/pingouin,GPL-3.0,2018-04-01 01:10:22.000000,2021-04-14 23:58:01.810000,2021-04-14 21:19:35.000000,56,12.0,120.0,683,1079.0,Statistical package in Python based on Pandas.,18.0,23,False,2021-04-14 21:19:07.000000,0.3.11,32.0,pingouin,conda-forge/pingouin,,,,208.0,198.0,https://pypi.org/project/pingouin,2021-02-16 05:37:08.000000,10.0,32291.0,33542.0,https://anaconda.org/conda-forge/pingouin,2021-04-14 23:58:01.810000,35046.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n469,Node2Vec,eliorc/node2vec,,graph,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000000,2021-04-02 06:40:51.000000,2021-04-02 06:31:28.000000,175,3.0,52.0,672,54.0,Implementation of the node2vec algorithm.,8.0,23,True,2021-04-02 06:40:51.000000,0.4.2,14.0,node2vec,conda-forge/node2vec,,,,140.0,130.0,https://pypi.org/project/node2vec,2021-04-02 06:33:26.000000,10.0,11229.0,11709.0,https://anaconda.org/conda-forge/node2vec,2020-04-25 22:41:13.714000,16811.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n470,TreeInterpreter,andosa/treeinterpreter,,interpretability,https://github.com/andosa/treeinterpreter,https://github.com/andosa/treeinterpreter,BSD-3-Clause,2015-08-02 20:26:21.000000,2021-02-28 18:33:06.000000,2021-02-28 18:33:06.000000,132,24.0,4.0,654,37.0,Package for interpreting scikit-learn's decision tree and random forest predictions.,11.0,23,True,2021-01-10 20:12:39.000000,0.2.3,5.0,treeinterpreter,,,,['sklearn'],149.0,131.0,https://pypi.org/project/treeinterpreter,2021-01-10 20:12:39.000000,18.0,165741.0,165741.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n471,scikit-multilearn,scikit-multilearn/scikit-multilearn,,sklearn-utils,https://github.com/scikit-multilearn/scikit-multilearn,https://github.com/scikit-multilearn/scikit-multilearn,BSD-2-Clause,2014-04-30 13:05:44.000000,2020-06-30 10:19:46.000000,2019-05-21 11:29:06.000000,121,66.0,92.0,652,487.0,A scikit-learn based module for multi-label et. al. classification.,15.0,23,False,2018-12-10 16:24:47.000000,0.2.0,6.0,scikit-multilearn,,,,['sklearn'],420.0,398.0,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47.000000,22.0,74866.0,74866.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n472,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,,data-viz,https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14.000000,2021-04-11 17:43:50.000000,2021-04-11 17:43:46.000000,81,18.0,59.0,644,272.0,Bokeh Plotting Backend for Pandas and GeoPandas.,12.0,23,True,2021-04-11 17:43:13.000000,0.5.5,16.0,pandas-bokeh,,,,['pandas'],168.0,158.0,https://pypi.org/project/pandas-bokeh,2021-04-11 17:43:13.000000,10.0,10513.0,10513.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n473,Guild AI,guildai/guildai,,ml-experiments,https://github.com/guildai/guildai,https://github.com/guildai/guildai,Apache-2.0,2017-09-27 18:57:50.000000,2021-04-12 20:27:53.000000,2021-04-12 19:55:04.000000,41,100.0,166.0,568,4527.0,\"Experiment tracking, ML developer tools.\",16.0,23,True,2021-03-25 22:43:31.000000,0.7.3,170.0,guildai,,,,,27.0,27.0,https://pypi.org/project/guildai,2021-04-12 20:27:53.000000,,8511.0,8511.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n474,CellProfiler,CellProfiler/CellProfiler,,image,https://github.com/CellProfiler/CellProfiler,https://github.com/CellProfiler/CellProfiler,BSD-3-Clause,2011-04-05 12:10:12.000000,2021-04-14 19:59:01.000000,2021-02-19 16:37:05.000000,272,168.0,2784.0,554,15307.0,An open-source application for biological image analysis.,119.0,23,True,2021-02-16 21:59:54.000000,4.1.3,41.0,cellprofiler,,,,,4.0,4.0,https://pypi.org/project/cellprofiler,2017-09-04 18:03:36.000000,,764.0,773.0,,,,,,,,3.0,863.0,,,,,,,,,,,,,,,,,,,,,\n475,combo,yzhao062/combo,,sklearn-utils,https://github.com/yzhao062/combo,https://github.com/yzhao062/combo,BSD-2-Clause,2019-07-14 01:13:36.000000,2021-03-29 00:05:33.000000,2021-03-15 01:39:54.000000,83,9.0,3.0,491,202.0,(AAAI' 20) A Python Toolbox for Machine Learning Model Combination.,1.0,23,True,2020-12-23 02:21:49.000000,0.1.2,12.0,combo,,,,\"['sklearn', 'xgboost']\",319.0,319.0,https://pypi.org/project/combo,2020-12-23 02:21:49.000000,0.0,29702.0,29702.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n476,tinytag,devsnd/tinytag,,audio,https://github.com/devsnd/tinytag,https://github.com/devsnd/tinytag,MIT,2014-01-27 15:27:01.000000,2021-03-28 14:28:00.000000,2021-03-28 14:27:32.000000,82,16.0,64.0,452,313.0,\"Read music meta data and length of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA and Wave files with python 2 or 3.\",18.0,23,True,2020-11-05 12:44:52.000000,1.5.0,33.0,tinytag,,,,,431.0,335.0,https://pypi.org/project/tinytag,2020-11-05 12:44:52.000000,96.0,4843.0,4843.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n477,python-ternary,marcharper/python-ternary,,data-viz,https://github.com/marcharper/python-ternary,https://github.com/marcharper/python-ternary,MIT,2012-08-07 23:48:55.000000,2021-03-31 17:34:05.000000,2021-03-31 17:34:05.000000,111,25.0,80.0,409,385.0,Ternary plotting library for python with matplotlib.,25.0,23,True,2021-02-17 18:38:15.000000,1.0.8,11.0,python-ternary,conda-forge/python-ternary,,,,84.0,64.0,https://pypi.org/project/python-ternary,2021-02-17 18:38:15.000000,20.0,3986.0,4850.0,https://anaconda.org/conda-forge/python-ternary,2021-02-17 22:38:55.625000,51848.0,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,,,,\n478,GeoViews,holoviz/geoviews,,geospatial-data,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000000,2021-04-13 11:40:25.000000,2021-04-13 11:40:25.000000,64,75.0,179.0,341,656.0,\"Simple, concise geographical visualization in Python.\",23.0,23,True,2021-03-13 16:29:11.000000,1.9.1,26.0,geoviews,conda-forge/geoviews,,,,20.0,,https://pypi.org/project/geoviews,2021-03-13 16:29:11.000000,20.0,7744.0,9493.0,https://anaconda.org/conda-forge/geoviews,2021-03-14 15:19:05.550000,64737.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n479,Cornac,PreferredAI/cornac,,recommender-systems,https://github.com/PreferredAI/cornac,https://github.com/PreferredAI/cornac,Apache-2.0,2018-07-17 06:31:35.000000,2021-04-08 09:03:51.000000,2021-04-08 09:03:50.000000,61,3.0,40.0,322,1173.0,A Comparative Framework for Multimodal Recommender Systems.,11.0,23,True,2021-03-30 03:20:12.000000,1.12.0,37.0,cornac,conda-forge/cornac,,,,38.0,36.0,https://pypi.org/project/cornac,2021-03-30 03:23:59.000000,2.0,5194.0,10714.0,https://anaconda.org/conda-forge/cornac,2021-03-30 16:45:43.648000,126966.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n480,pySBD,nipunsadvilkar/pySBD,,nlp,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20.000000,2021-02-11 16:42:37.000000,2021-02-11 16:40:18.000000,28,4.0,48.0,303,279.0,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,6.0,23,True,2021-02-11 16:42:37.000000,0.3.4,15.0,pysbd,,,,,132.0,128.0,https://pypi.org/project/pysbd,2021-02-11 16:36:33.000000,4.0,23888.0,23888.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n481,NIPY,nipy/nipy,,medical-data,https://github.com/nipy/nipy,https://github.com/nipy/nipy,BSD-3-Clause,2010-05-02 10:00:33.000000,2021-03-30 10:02:24.000000,2021-03-29 16:56:48.000000,123,43.0,110.0,295,6427.0,Neuroimaging in Python FMRI analysis package.,63.0,23,True,2018-02-19 14:14:08.000000,0.4.2,6.0,nipy,conda-forge/nipy,,,,82.0,,https://pypi.org/project/nipy,2018-02-19 14:14:08.000000,82.0,2340.0,4050.0,https://anaconda.org/conda-forge/nipy,2020-05-04 19:38:04.112000,76963.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n482,TensorFlow Cloud,tensorflow/cloud,,tensorflow-utils,https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59.000000,2021-04-13 21:48:08.000000,2021-04-06 18:22:48.000000,47,47.0,25.0,234,522.0,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,17.0,23,True,2021-02-09 23:34:43.000000,0.1.13,16.0,tensorflow-cloud,,,,['tensorflow'],41.0,41.0,https://pypi.org/project/tensorflow-cloud,2021-02-09 23:34:43.000000,0.0,163056.0,163056.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n483,cuDF,rapidsai/cudf,,gpu-utilities,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000000,2021-04-15 14:35:48.000000,2021-04-14 18:51:04.000000,499,600.0,2982.0,3833,,cuDF - GPU DataFrame Library.,207.0,22,True,2021-03-15 21:19:08.000000,0.18.1,8.0,cudf,,,,,4.0,,https://pypi.org/project/cudf,2020-06-01 20:07:47.000000,4.0,1750.0,1750.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n484,MatchZoo,NTMC-Community/MatchZoo,,nlp,https://github.com/NTMC-Community/MatchZoo,https://github.com/NTMC-Community/MatchZoo,Apache-2.0,2017-06-08 08:55:22.000000,2020-06-17 07:27:59.000000,2019-10-24 13:10:07.000000,877,27.0,428.0,3401,1808.0,\"Facilitating the design, comparison and sharing of deep text matching models.\",35.0,22,False,2019-10-24 13:09:11.000000,2.2.0,5.0,matchzoo,,,,['tensorflow'],10.0,10.0,https://pypi.org/project/matchzoo,2019-10-24 13:09:11.000000,,216.0,216.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n485,AdaNet,tensorflow/adanet,,hyperopt,https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24.000000,2020-07-09 21:03:28.000000,2020-07-09 20:51:04.000000,508,65.0,47.0,3269,439.0,Fast and flexible AutoML with learning guarantees.,26.0,22,True,2020-07-09 21:03:28.000000,0.9.0,13.0,adanet,,,,['tensorflow'],38.0,36.0,https://pypi.org/project/adanet,2020-07-09 21:03:28.000000,2.0,1243.0,1243.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n486,TensorTrade,tensortrade-org/tensortrade,,financial-data,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32.000000,2021-03-28 04:53:21.000000,2021-03-24 16:25:28.000000,706,27.0,142.0,3106,883.0,\"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.\",50.0,22,True,,,26.0,tensortrade,,,,,13.0,12.0,https://pypi.org/project/tensortrade,2020-12-20 18:30:31.000000,1.0,1479.0,1479.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n487,TensorWatch,microsoft/tensorwatch,,ml-experiments,https://github.com/microsoft/tensorwatch,https://github.com/microsoft/tensorwatch,MIT,2019-05-15 08:29:34.000000,2021-04-13 09:44:02.000000,2021-01-15 19:46:05.000000,325,49.0,15.0,3072,112.0,\"Debugging, monitoring and visualization for Python Machine Learning and Data Science.\",13.0,22,True,2020-03-04 07:26:22.000000,0.9.1,14.0,tensorwatch,,,,,52.0,46.0,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22.000000,6.0,4680.0,4680.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n488,Image Super-Resolution,idealo/image-super-resolution,,image,https://github.com/idealo/image-super-resolution,https://github.com/idealo/image-super-resolution,Apache-2.0,2018-11-26 13:41:13.000000,2021-04-08 09:55:00.000000,2020-11-11 15:09:19.000000,505,65.0,102.0,2689,138.0,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,9.0,22,True,2020-01-08 15:37:35.000000,2.2.0,11.0,ISR,,idealo/image-super-resolution-gpu,,['tensorflow'],52.0,44.0,https://pypi.org/project/ISR,2020-01-08 15:37:35.000000,8.0,5145.0,5149.0,,,,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,,138.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n489,gpt-2-simple,minimaxir/gpt-2-simple,,nlp,https://github.com/minimaxir/gpt-2-simple,https://github.com/minimaxir/gpt-2-simple,MIT,2019-04-13 20:00:52.000000,2021-03-21 20:05:55.000000,2021-02-14 19:39:38.000000,540,144.0,93.0,2616,133.0,Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts.,17.0,22,True,2021-02-14 21:13:20.000000,0.7.2,16.0,gpt-2-simple,,,,['tensorflow'],6.0,,https://pypi.org/project/gpt-2-simple,2021-02-14 20:20:24.000000,6.0,11029.0,11037.0,,,,,,,,3.0,215.0,,,,,,,,,,,,,,,,,,,,,\n490,tensorflow-graphics,tensorflow/graphics,,image,https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44.000000,2021-04-15 00:15:32.000000,2021-04-15 00:15:25.000000,286,106.0,84.0,2444,651.0,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,32.0,22,True,2020-05-20 19:56:41.000000,2020.5.20,21.0,tensorflow-graphics,,,,['tensorflow'],4.0,1.0,https://pypi.org/project/tensorflow-graphics,2020-05-20 19:56:41.000000,3.0,3093.0,3093.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n491,MMLSpark,Azure/mmlspark,,distributed-ml,https://github.com/Azure/mmlspark,https://github.com/Azure/mmlspark,MIT,2017-06-05 08:23:44.000000,2021-04-15 05:09:35.000000,2021-04-15 02:50:05.000000,503,202.0,216.0,2305,804.0,Microsoft Machine Learning for Apache Spark.,64.0,22,True,2020-10-02 19:36:01.000000,1.0.0-rc3,17.0,mmlspark,,,,['spark'],,,https://pypi.org/project/mmlspark,2020-03-18 01:27:31.000000,,58403.0,58403.0,,,,,,,,3.0,,-1.0,,,,,,,,,,,,,,,,,,,,\n492,Mars,mars-project/mars,,others,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03.000000,2021-04-15 14:27:03.000000,2021-04-15 08:04:39.000000,247,122.0,679.0,2094,775.0,\"Mars is a tensor-based unified framework for large-scale data computation which scales Numpy, pandas, Scikit-learn and..\",19.0,22,True,2021-04-11 08:20:27.000000,0.6.8,81.0,pymars,,,,,4.0,4.0,https://pypi.org/project/pymars,2021-04-11 08:41:06.000000,0.0,6695.0,6695.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n493,MONAI,Project-MONAI/MONAI,,medical-data,https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000000,2021-04-15 14:55:20.000000,2021-04-15 12:54:17.000000,345,88.0,738.0,1903,973.0,AI Toolkit for Healthcare Imaging.,57.0,22,True,2021-04-13 14:20:33.000000,0.5.0,18.0,monai,,,,['pytorch'],0.0,,https://pypi.org/project/monai,2021-04-11 01:33:17.000000,0.0,7505.0,7505.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n494,m2cgen,BayesWitnesses/m2cgen,,model-serialisation,https://github.com/BayesWitnesses/m2cgen,https://github.com/BayesWitnesses/m2cgen,MIT,2019-01-13 02:32:55.000000,2021-04-15 02:16:03.000000,2021-04-14 22:25:19.000000,153,36.0,40.0,1784,245.0,\"Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart,..\",12.0,22,True,2020-09-18 19:17:26.000000,0.9.0,12.0,m2cgen,,,,,6.0,6.0,https://pypi.org/project/m2cgen,2020-09-18 19:16:17.000000,,19879.0,19879.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n495,STUMPY,TDAmeritrade/stumpy,,time-series-data,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000000,2021-04-15 13:55:08.000000,2021-04-07 13:58:20.000000,165,26.0,203.0,1756,,\"STUMPY is a powerful and scalable Python library for computing a Matrix Profile, which can be used for a variety of..\",21.0,22,True,2021-02-04 19:05:43.000000,1.8.0,19.0,stumpy,conda-forge/stumpy,,,,0.0,,https://pypi.org/project/stumpy,2021-02-04 19:05:43.000000,0.0,68065.0,68919.0,https://anaconda.org/conda-forge/stumpy,2021-02-05 23:28:08.904000,19659.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n496,Multicore-TSNE,DmitryUlyanov/Multicore-TSNE,,data-viz,https://github.com/DmitryUlyanov/Multicore-TSNE,https://github.com/DmitryUlyanov/Multicore-TSNE,BSD-3-Clause,2016-10-19 05:46:52.000000,2020-12-20 08:15:51.000000,2020-08-19 14:58:00.000000,199,36.0,20.0,1560,113.0,Parallel t-SNE implementation with Python and Torch wrappers.,15.0,22,True,2017-11-08 13:32:20.000000,0.0.1,3.0,MulticoreTSNE,conda-forge/multicore-tsne,,,['pytorch'],248.0,220.0,https://pypi.org/project/MulticoreTSNE,2019-01-09 07:23:04.000000,28.0,5324.0,5546.0,https://anaconda.org/conda-forge/multicore-tsne,2018-11-12 17:08:01.525000,6461.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n497,fast-bert,kaushaltrivedi/fast-bert,,nlp,https://github.com/utterworks/fast-bert,https://github.com/utterworks/fast-bert,Apache-2.0,2019-04-18 22:01:20.000000,2021-03-09 01:10:31.000000,2021-03-09 01:10:25.000000,315,139.0,91.0,1557,269.0,Super easy library for BERT based NLP models.,34.0,22,True,2021-03-09 00:19:27.000000,1.9.7,41.0,fast-bert,,,,,2.0,,https://pypi.org/project/fast-bert,2021-03-09 00:19:27.000000,2.0,3805.0,3805.0,,,,,,,,3.0,,,,,,,,,,,,,utterworks/fast-bert,,,,,,,,,\n498,lore,instacart/lore,,ml-experiments,https://github.com/instacart/lore,https://github.com/instacart/lore,MIT,2017-10-19 21:51:45.000000,2021-02-22 18:13:04.000000,2020-05-11 22:26:45.000000,119,16.0,18.0,1514,270.0,Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers.,22.0,22,True,2020-05-11 22:28:23.000000,0.8.4,231.0,lore,,,,,17.0,16.0,https://pypi.org/project/lore,2020-05-11 22:28:23.000000,1.0,4300.0,4300.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n499,anaGo,Hironsan/anago,,nlp,https://github.com/Hironsan/anago,https://github.com/Hironsan/anago,MIT,2017-06-26 21:28:36.000000,2021-04-01 12:35:21.000000,2021-04-01 12:34:50.000000,359,36.0,71.0,1399,298.0,\"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.\",11.0,22,True,2018-07-17 01:59:21.000000,1.0.8,14.0,anago,,,,['tensorflow'],30.0,25.0,https://pypi.org/project/anago,2018-07-17 01:59:21.000000,5.0,5051.0,5051.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n500,Neural Tangents,google/neural-tangents,,ml-frameworks,https://github.com/google/neural-tangents,https://github.com/google/neural-tangents,Apache-2.0,2019-04-08 16:48:48.000000,2021-03-31 22:02:40.000000,2021-03-31 22:02:33.000000,153,28.0,56.0,1383,370.0,Fast and Easy Infinite Neural Networks in Python.,18.0,22,True,2021-01-25 23:20:02.000000,0.3.6,20.0,neural-tangents,,,,,14.0,14.0,https://pypi.org/project/neural-tangents,2021-01-25 23:06:16.000000,0.0,724.0,735.0,,,,,,,,3.0,112.0,,,,,,,,,,,,,,,,,,,,,\n501,Torchmeta,tristandeleu/pytorch-meta,,pytorch-utils,https://github.com/tristandeleu/pytorch-meta,https://github.com/tristandeleu/pytorch-meta,MIT,2018-12-04 23:36:45.000000,2021-04-13 10:29:29.000000,2021-03-19 14:47:19.000000,147,28.0,76.0,1279,342.0,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.,10.0,22,True,2021-03-19 14:49:53.000000,1.7.0,27.0,torchmeta,,,,['pytorch'],35.0,35.0,https://pypi.org/project/torchmeta,2021-03-19 14:49:53.000000,,1116.0,1116.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n502,Karate Club,benedekrozemberczki/karateclub,,graph,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56.000000,2021-04-11 20:49:05.000000,2021-04-11 20:48:57.000000,146,,50.0,1224,2122.0,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,11.0,22,False,2021-03-30 00:11:09.000000,_10024,97.0,karateclub,,,,,34.0,34.0,https://pypi.org/project/karateclub,2021-03-30 00:05:59.000000,0.0,10479.0,10479.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n503,FARM,deepset-ai/FARM,,nlp,https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12.000000,2021-04-07 10:11:07.000000,2021-04-07 10:11:07.000000,173,38.0,314.0,1170,550.0,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,32.0,22,True,2021-03-31 14:33:39.000000,0.7.1,23.0,farm,,,,['pytorch'],2.0,,https://pypi.org/project/farm,2021-02-22 17:30:04.000000,2.0,6491.0,6491.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n504,tensorrec,jfkirk/tensorrec,,recommender-systems,https://github.com/jfkirk/tensorrec,https://github.com/jfkirk/tensorrec,Apache-2.0,2017-02-28 18:51:11.000000,2021-03-18 20:46:02.000000,2020-02-04 21:10:25.000000,211,33.0,90.0,1140,334.0,A TensorFlow recommendation algorithm and framework in Python.,8.0,22,False,2019-04-02 00:53:47.000000,0.26.2,30.0,tensorrec,,,,['tensorflow'],28.0,25.0,https://pypi.org/project/tensorrec,2019-04-02 00:53:47.000000,3.0,1161.0,1161.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n505,pycm,sepandhaghighi/pycm,,others,https://github.com/sepandhaghighi/pycm,https://github.com/sepandhaghighi/pycm,MIT,2018-01-22 19:46:54.000000,2021-04-09 10:10:27.000000,2021-03-11 15:42:19.000000,93,12.0,155.0,1087,2619.0,Multi-class confusion matrix library in Python.,14.0,22,True,2021-03-11 15:51:49.000000,3.1,35.0,pycm,,,,,105.0,95.0,https://pypi.org/project/pycm,2021-03-11 15:52:23.000000,10.0,6213.0,6213.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n506,tensorly,tensorly/tensorly,,others,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52.000000,2021-04-15 14:59:17.000000,2021-04-15 14:59:17.000000,202,36.0,104.0,993,,TensorLy: Tensor Learning in Python.,43.0,22,True,2021-04-15 15:01:47.000000,0.5.1,16.0,tensorly,conda-forge/tensorly,,,,20.0,,https://pypi.org/project/tensorly,2020-12-07 20:30:41.000000,20.0,7025.0,10646.0,https://anaconda.org/conda-forge/tensorly,2020-12-07 22:44:30.386000,126743.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n507,FinTA,peerchemist/finta,,financial-data,https://github.com/peerchemist/finta,https://github.com/peerchemist/finta,LGPL-3.0,2016-09-01 21:02:46.000000,2021-04-13 09:31:24.000000,2021-04-13 09:31:09.000000,320,10.0,62.0,969,379.0,Common financial technical indicators implemented in Pandas.,24.0,22,False,2021-04-03 08:51:49.000000,1.3,19.0,finta,,,,,70.0,66.0,https://pypi.org/project/finta,2020-10-21 11:39:44.000000,4.0,7735.0,7735.0,,,,,,,,3.0,,-1.0,,,,,,,,,,,,,,,,,,,,\n508,pandasql,yhat/pandasql,,data-containers,https://github.com/yhat/pandasql,https://github.com/yhat/pandasql,MIT,2013-02-18 01:53:56.000000,2020-08-14 13:00:13.000000,2017-02-01 15:40:30.000000,141,44.0,23.0,963,127.0,sqldf for pandas.,15.0,22,False,2016-04-20 21:52:36.000000,0.7.3,31.0,pandasql,,,,['pandas'],799.0,701.0,https://pypi.org/project/pandasql,2016-04-20 21:52:36.000000,98.0,337119.0,337119.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n509,minisom,JustGlowing/minisom,,others,https://github.com/JustGlowing/minisom,https://github.com/JustGlowing/minisom,CC-BY-3.0,2013-07-03 10:10:06.000000,2021-04-03 16:15:34.000000,2021-04-03 16:15:34.000000,257,7.0,66.0,816,434.0,MiniSom is a minimalistic implementation of the Self Organizing Maps.,20.0,22,False,2021-03-16 07:19:52.000000,2.2.8,15.0,minisom,,,,,167.0,159.0,https://pypi.org/project/minisom,2020-11-03 08:18:16.000000,8.0,5727.0,5727.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n510,Neural Structured Learning,tensorflow/neural-structured-learning,,tensorflow-utils,https://github.com/tensorflow/neural-structured-learning,https://github.com/tensorflow/neural-structured-learning,Apache-2.0,2019-08-27 21:48:16.000000,2021-04-14 00:42:27.000000,2021-04-14 00:42:19.000000,142,5.0,40.0,802,418.0,Training neural models with structured signals.,27.0,22,True,2020-08-18 00:35:35.000000,1.3.1,7.0,neural-structured-learning,,,,['tensorflow'],51.0,51.0,https://pypi.org/project/neural-structured-learning,2020-08-18 00:35:35.000000,0.0,5976.0,5976.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n511,tf-explain,sicara/tf-explain,,interpretability,https://github.com/sicara/tf-explain,https://github.com/sicara/tf-explain,MIT,2019-07-15 08:26:24.000000,2021-03-02 11:04:28.000000,2021-02-04 18:16:59.000000,73,33.0,45.0,791,197.0,Interpretability Methods for tf.keras models with Tensorflow 2.x.,13.0,22,True,2021-02-16 18:59:38.000000,0.3.0,7.0,tf-explain,,,,['tensorflow'],70.0,68.0,https://pypi.org/project/tf-explain,2021-02-16 18:59:38.000000,2.0,1646.0,1646.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n512,fairlearn,fairlearn/fairlearn,,interpretability,https://github.com/fairlearn/fairlearn,https://github.com/fairlearn/fairlearn,MIT,2018-05-15 01:51:35.000000,2021-04-14 13:09:38.000000,2021-04-14 13:09:38.000000,184,80.0,123.0,755,556.0,A Python package to assess and improve fairness of machine learning models.,34.0,22,True,2021-04-13 22:37:32.000000,0.6.1,14.0,fairlearn,conda-forge/fairlearn,,,['sklearn'],2.0,,https://pypi.org/project/fairlearn,2021-04-13 22:37:32.000000,2.0,15412.0,16220.0,https://anaconda.org/conda-forge/fairlearn,2021-04-13 16:53:34.138000,11324.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n513,stockstats,jealous/stockstats,,financial-data,https://github.com/jealous/stockstats,https://github.com/jealous/stockstats,BSD-3-Clause,2016-06-05 15:21:22.000000,2020-12-10 07:08:11.000000,2020-10-17 10:59:35.000000,208,29.0,31.0,752,23.0,Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.,7.0,22,True,2020-10-17 11:10:43.000000,0.3.2,14.0,stockstats,,,,,265.0,217.0,https://pypi.org/project/stockstats,2020-10-17 11:10:43.000000,48.0,41978.0,41978.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n514,kapre,keunwoochoi/kapre,,audio,https://github.com/keunwoochoi/kapre,https://github.com/keunwoochoi/kapre,MIT,2016-12-14 18:36:36.000000,2021-03-25 21:02:49.000000,2021-03-25 21:02:44.000000,129,6.0,80.0,731,190.0,kapre: Keras Audio Preprocessors.,13.0,22,True,2021-03-18 22:14:02.000000,Kapre-0.3.5,21.0,kapre,,,,['tensorflow'],671.0,649.0,https://pypi.org/project/kapre,2020-09-29 18:49:13.000000,22.0,3944.0,3944.0,,,,,,,,3.0,10.0,,,,,,,,,,,,,,,,,,,,,\n515,gmaps,pbugnion/gmaps,,geospatial-data,https://github.com/pbugnion/gmaps,https://github.com/pbugnion/gmaps,BSD-3-Clause,2014-12-01 09:12:06.000000,2020-10-13 07:09:18.000000,2019-07-22 06:22:45.000000,143,66.0,135.0,708,1380.0,Google maps for Jupyter notebooks.,16.0,22,False,2019-07-21 08:49:48.715000,0.9.0,94.0,gmaps,conda-forge/gmaps,,,['jupyter'],75.0,1.0,https://pypi.org/project/gmaps,2019-07-21 08:49:39.000000,74.0,10769.0,17766.0,https://anaconda.org/conda-forge/gmaps,2019-08-02 11:56:50.940000,218051.0,,,,,3.0,,,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715000,,2358.0,,,,,,,,,,,,,,\n516,NeuPy,itdxer/neupy,,ml-frameworks,https://github.com/itdxer/neupy,https://github.com/itdxer/neupy,MIT,2015-08-24 19:45:11.000000,2021-03-18 20:44:32.000000,2019-09-02 19:02:38.000000,148,27.0,230.0,674,1145.0,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,6.0,22,False,2019-04-04 19:44:59.000000,0.8.2,34.0,neupy,,,,,112.0,101.0,https://pypi.org/project/neupy,2019-04-04 19:43:06.000000,11.0,1795.0,1795.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n517,torch-scatter,rusty1s/pytorch_scatter,,pytorch-utils,https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23.000000,2021-03-25 07:25:04.000000,2021-03-25 07:25:00.000000,76,63.0,120.0,629,825.0,PyTorch Extension Library of Optimized Scatter Operations.,15.0,22,True,2021-03-02 14:52:22.000000,2.0.6,26.0,torch-scatter,,,,['pytorch'],32.0,,https://pypi.org/project/torch-scatter,2021-03-03 06:21:28.000000,32.0,20976.0,20976.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n518,TensorBoard Logger,TeamHG-Memex/tensorboard_logger,,ml-experiments,https://github.com/TeamHG-Memex/tensorboard_logger,https://github.com/TeamHG-Memex/tensorboard_logger,MIT,2016-10-27 14:02:25.000000,2021-03-25 21:30:56.000000,2019-10-21 07:52:07.000000,52,9.0,15.0,612,46.0,Log TensorBoard events without touching TensorFlow.,5.0,22,False,2018-02-08 07:28:51.000000,0.1.0,5.0,tensorboard_logger,,,,,96.0,,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51.000000,96.0,113196.0,113196.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n519,pickleDB,patx/pickledb,,data-containers,https://github.com/patx/pickledb,https://github.com/patx/pickledb,BSD-3-Clause,2011-10-28 00:04:40.000000,2021-03-23 21:52:22.000000,2019-11-15 03:38:30.000000,100,22.0,39.0,560,105.0,pickleDB is an open source key-value store using Python's json module.,11.0,22,False,2019-01-14 18:48:25.000000,0.9.2,20.0,pickledb,,,,,669.0,557.0,https://pypi.org/project/pickledb,2019-01-14 18:48:25.000000,112.0,11772.0,11772.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n520,lazypredict,shankarpandala/lazypredict,,hyperopt,https://github.com/shankarpandala/lazypredict,https://github.com/shankarpandala/lazypredict,MIT,2019-11-16 09:56:35.000000,2021-04-10 02:38:00.000000,2021-04-10 02:37:59.000000,93,15.0,30.0,438,195.0,Lazy Predict help build a lot of basic models without much code and helps understand which models works better without..,12.0,22,True,2021-02-17 15:38:45.000000,0.2.9,11.0,lazypredict,,,,['sklearn'],48.0,48.0,https://pypi.org/project/lazypredict,2021-02-17 15:38:45.000000,,2954.0,2954.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n521,random-forest-importances,parrt/random-forest-importances,,interpretability,https://github.com/parrt/random-forest-importances,https://github.com/parrt/random-forest-importances,MIT,2018-03-22 19:20:13.000000,2021-01-30 21:50:08.000000,2021-01-30 21:50:02.000000,94,4.0,27.0,429,249.0,Code to compute permutation and drop-column importances in Python scikit-learn models.,14.0,22,True,2021-01-28 23:23:17.000000,1.3.7,22.0,rfpimp,,,,['sklearn'],74.0,70.0,https://pypi.org/project/rfpimp,2021-01-28 23:19:33.000000,4.0,25045.0,25045.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n522,SDV,sdv-dev/SDV,,data-loading,https://github.com/sdv-dev/SDV,https://github.com/sdv-dev/SDV,MIT,2018-05-11 15:56:50.000000,2021-04-14 18:52:59.000000,2021-04-14 18:52:58.000000,70,65.0,174.0,388,819.0,\"Synthetic Data Generation for tabular, relational and time series data.\",33.0,22,True,2021-04-01 01:14:47.000000,0.9.0,44.0,sdv,,,,,19.0,19.0,https://pypi.org/project/sdv,2021-04-01 01:11:08.000000,0.0,5617.0,5617.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n523,PyTorch Sparse,rusty1s/pytorch_sparse,,pytorch-utils,https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53.000000,2021-04-01 05:27:22.000000,2021-04-01 05:27:22.000000,50,43.0,59.0,382,533.0,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,14.0,22,True,2021-03-03 15:26:45.000000,0.6.9,21.0,torch-sparse,,,,['pytorch'],34.0,,https://pypi.org/project/torch-sparse,2020-11-02 10:43:20.000000,34.0,12611.0,12611.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n524,aequitas,dssg/aequitas,,interpretability,https://github.com/dssg/aequitas,https://github.com/dssg/aequitas,MIT,2018-02-13 19:40:30.000000,2021-03-19 10:35:14.000000,2021-02-23 13:51:06.000000,71,35.0,21.0,372,856.0,Bias and Fairness Audit Toolkit.,16.0,22,True,2020-12-16 11:48:14.000000,0.42.0,16.0,aequitas,,,,,77.0,71.0,https://pypi.org/project/aequitas,2020-12-16 11:48:14.000000,6.0,1303.0,1303.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n525,Studio.ml,studioml/studio,,ml-experiments,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28.000000,2021-03-27 00:16:08.000000,2021-03-27 00:10:16.000000,50,56.0,192.0,371,2353.0,Studio: Simplify and expedite model building process.,21.0,22,True,2021-03-19 21:35:43.000000,0.0.43,194.0,studioml,,,,,4.0,4.0,https://pypi.org/project/studioml,2021-03-27 00:16:08.000000,,2157.0,2157.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n526,torch-cluster,rusty1s/pytorch_cluster,,graph,https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06.000000,2021-03-06 06:14:10.000000,2021-03-06 06:14:04.000000,71,38.0,40.0,356,521.0,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,18.0,22,True,2021-03-01 13:58:47.000000,1.5.9,39.0,torch-cluster,,,,['pytorch'],32.0,,https://pypi.org/project/torch-cluster,2021-03-01 12:28:43.000000,32.0,9404.0,9404.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n527,vega,vega/ipyvega,,data-viz,https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000000,2021-04-02 09:23:26.000000,2021-04-02 09:23:25.000000,44,8.0,79.0,300,492.0,IPython/Jupyter notebook module for Vega and Vega-Lite.,9.0,22,True,2020-05-15 23:40:02.000000,3.4.0,37.0,vega,conda-forge/vega,,,['jupyter'],148.0,,https://pypi.org/project/vega,2020-05-15 23:40:02.000000,148.0,17343.0,24349.0,https://anaconda.org/conda-forge/vega,2020-12-10 15:03:57.175000,406364.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n528,py3nvml,fbcotter/py3nvml,,gpu-utilities,https://github.com/fbcotter/py3nvml,https://github.com/fbcotter/py3nvml,BSD-3-Clause,2016-11-21 01:07:37.000000,2020-10-10 10:41:08.987000,2020-04-23 06:54:42.000000,24,1.0,10.0,170,79.0,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,6.0,22,True,2020-04-06 16:02:10.000000,0.2.6,13.0,py3nvml,conda-forge/py3nvml,,,,268.0,248.0,https://pypi.org/project/py3nvml,2020-04-06 16:02:10.000000,20.0,129759.0,130771.0,https://anaconda.org/conda-forge/py3nvml,2020-10-10 10:41:08.987000,15189.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n529,stop-words,Alir3z4/python-stop-words,,nlp,https://github.com/Alir3z4/python-stop-words,https://github.com/Alir3z4/python-stop-words,BSD-3-Clause,2014-05-26 06:44:03.000000,2019-10-16 15:01:43.000000,2018-07-23 21:04:09.000000,23,3.0,9.0,122,90.0,Get list of common stop words in various languages in Python.,8.0,22,False,2018-07-23 20:58:34.000000,2018.7.23,8.0,stop-words,,,,,1417.0,1159.0,https://pypi.org/project/stop-words,2018-07-23 20:55:55.000000,258.0,79430.0,79430.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n530,pyexcel-xlsx,pyexcel/pyexcel-xlsx,,data-loading,https://github.com/pyexcel/pyexcel-xlsx,https://github.com/pyexcel/pyexcel-xlsx,BSD-3-Clause,2014-12-02 00:03:24.000000,2020-11-28 22:30:58.000000,2020-11-28 22:30:53.000000,16,12.0,20.0,86,267.0,\"A wrapper library to read, manipulate and write data in xlsx and xlsm format using openpyxl.\",4.0,22,False,2020-10-10 13:13:32.000000,0.6.0,30.0,pyexcel-xlsx,conda-forge/pyexcel-xlsx,,,,1478.0,1168.0,https://pypi.org/project/pyexcel-xlsx,2020-10-10 13:13:32.000000,310.0,78386.0,78766.0,https://anaconda.org/conda-forge/pyexcel-xlsx,2020-10-10 15:53:49.660000,15968.0,,,,,3.0,46.0,,,,,,,,,,,,,,,,,,,,,\n531,PyStan,stan-dev/pystan,,probabilistics,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,ISC,2017-03-06 19:56:42.094000,2021-04-13 15:36:53.000000,2021-04-13 15:35:35.000000,16,13.0,109.0,61,,\"PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io.\",7.0,22,False,2021-04-02 15:19:02.000000,3.0.1,60.0,pystan,conda-forge/pystan,,,,342.0,,https://pypi.org/project/pystan,2021-04-02 15:19:02.000000,342.0,1070121.0,1089451.0,https://anaconda.org/conda-forge/pystan,2020-08-25 22:40:14.631000,947188.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n532,openpyxl,,,data-loading,,https://openpyxl.readthedocs.io,MIT,2015-11-03 00:22:17.154000,2021-03-13 16:57:07.865000,,0,200.0,1467.0,19,,A Python library to read/write Excel 2010 xlsx/xlsm files.,,22,False,2021-03-10 19:38:02.000000,3.0.7,97.0,openpyxl,openpyxl,openpyxl/openpyxl-ci,https://openpyxl.readthedocs.io/en/stable/,,9770.0,,https://pypi.org/project/openpyxl,2021-03-09 19:13:10.000000,9770.0,10960192.0,10960933.0,https://anaconda.org/anaconda/openpyxl,2021-03-13 16:57:07.865000,47036.0,https://hub.docker.com/r/openpyxl/openpyxl-ci,2018-09-13 18:04:17.646261,,1180.0,3.0,,,,,,,,,0.0,,,,,,,,,,,,https://foss.heptapod.net/api/graphql::openpyxl/openpyxl,https://foss.heptapod.net/openpyxl/openpyxl\n533,Recommenders,microsoft/recommenders,,recommender-systems,https://github.com/microsoft/recommenders,https://github.com/microsoft/recommenders,MIT,2018-09-19 10:06:07.000000,2021-04-14 13:51:24.000000,2021-04-06 13:17:27.000000,1665,125.0,441.0,9513,6334.0,Best Practices on Recommendation Systems.,93.0,21,True,2021-02-04 14:08:48.000000,2021.2,7.0,,,,,,1.0,1.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n534,Dejavu,worldveil/dejavu,,audio,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35.000000,2020-10-29 17:40:17.000000,2020-06-03 05:58:03.000000,1250,84.0,129.0,5377,146.0,Audio fingerprinting and recognition in Python.,23.0,21,True,2015-04-19 21:20:16.000000,0.1.3,4.0,PyDejavu,,,,,20.0,17.0,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16.000000,3.0,153.0,153.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n535,mace,XiaoMi/mace,,ml-frameworks,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12.000000,2021-04-15 06:15:58.000000,2021-04-15 06:15:58.000000,758,42.0,599.0,4339,3142.0,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,57.0,21,True,2021-03-18 10:07:32.000000,1.0.4,11.0,,,,,,,,,,,,41.0,,,,,,,,3.0,1338.0,,,,,,,,,,,,,,,,,,,,,\n536,MMF,facebookresearch/mmf,,image,https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40.000000,2021-04-14 22:03:49.000000,2021-04-14 22:03:45.000000,630,113.0,357.0,4298,851.0,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,60.0,21,True,2019-08-26 19:04:21.000000,0.3.1,12.0,mmf,,,,['pytorch'],7.0,7.0,https://pypi.org/project/mmf,2020-06-12 22:15:02.000000,0.0,836.0,836.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n537,vit-pytorch,lucidrains/vit-pytorch,,image,https://github.com/lucidrains/vit-pytorch,https://github.com/lucidrains/vit-pytorch,MIT,2020-10-03 22:47:24.000000,2021-04-14 23:53:14.000000,2021-04-14 23:53:05.000000,386,31.0,52.0,3600,,\"Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single..\",6.0,21,True,2021-04-14 23:53:14.000000,0.16.3,57.0,vit-pytorch,,,,['pytorch'],10.0,10.0,https://pypi.org/project/vit-pytorch,2021-04-14 22:57:19.000000,,3168.0,3168.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n538,DeepMatcher,anhaidgroup/deepmatcher,,nlp,https://github.com/anhaidgroup/deepmatcher,https://github.com/anhaidgroup/deepmatcher,BSD-3-Clause,2017-12-01 19:01:11.000000,2020-09-27 17:25:56.000000,2020-04-20 02:34:24.000000,1314,47.0,19.0,3544,169.0,Python package for performing Entity and Text Matching using Deep Learning.,7.0,21,True,2019-12-30 19:49:33.000000,0.1.1,9.0,deepmatcher,,,,,12.0,12.0,https://pypi.org/project/deepmatcher,2019-12-30 19:49:33.000000,,522.0,522.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n539,TRFL,deepmind/trfl,,reinforcement-learning,https://github.com/deepmind/trfl,https://github.com/deepmind/trfl,Apache-2.0,2018-08-08 14:44:11.000000,2020-11-06 04:44:44.000000,2020-04-20 13:05:56.000000,372,6.0,16.0,3063,116.0,TensorFlow Reinforcement Learning.,12.0,21,True,2020-04-20 14:11:57.000000,1.1.0,4.0,trfl,,,,['tensorflow'],48.0,46.0,https://pypi.org/project/trfl,2020-04-20 14:11:57.000000,2.0,1701.0,1701.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n540,dpark,douban/dpark,,data-pipelines,https://github.com/douban/dpark,https://github.com/douban/dpark,BSD-3-Clause,2012-04-11 08:35:06.000000,2020-12-25 10:36:06.000000,2020-12-25 10:36:05.000000,554,,60.0,2659,1467.0,\"Python clone of Spark, a MapReduce alike framework in Python.\",35.0,21,True,2018-07-27 04:11:36.000000,0.5.0,19.0,dpark,,,,['spark'],4.0,3.0,https://pypi.org/project/dpark,2018-07-27 04:11:36.000000,1.0,230.0,230.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n541,NLP Architect,IntelLabs/nlp-architect,,nlp,https://github.com/IntelLabs/nlp-architect,https://github.com/IntelLabs/nlp-architect,Apache-2.0,2018-05-17 21:00:13.000000,2021-04-13 08:07:05.000000,2021-04-13 08:02:56.000000,394,16.0,111.0,2635,953.0,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,36.0,21,True,2020-11-17 12:32:37.000000,0.5.5.1,13.0,nlp-architect,,,,,7.0,7.0,https://pypi.org/project/nlp-architect,2020-04-12 11:34:38.000000,,525.0,525.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n542,finmarketpy,cuemacro/finmarketpy,,financial-data,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03.000000,2021-04-15 14:07:37.000000,2021-04-15 14:07:33.000000,431,22.0,3.0,2540,662.0,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,14.0,21,True,2021-01-25 15:04:53.000000,0.11.8,9.0,finmarketpy,,,,,3.0,3.0,https://pypi.org/project/finmarketpy,2021-01-25 15:01:25.000000,,322.0,322.0,,,,,,,,3.0,39.0,,,,,,,,,,,,,,,,,,,,,\n543,Hummingbird,microsoft/hummingbird,,model-serialisation,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000000,2021-04-13 16:35:56.000000,2021-04-13 16:16:17.000000,174,50.0,153.0,2377,,Hummingbird compiles trained ML models into tensor computation for faster inference.,20.0,21,True,2021-04-13 00:20:31.000000,0.3.0,11.0,hummingbird-ml,,,,,14.0,14.0,https://pypi.org/project/hummingbird-ml,2021-04-13 00:20:31.000000,,3289.0,3298.0,,,,,,,,3.0,99.0,,,,,,,,,,,,,,,,,,,,,\n544,Luminoth,tryolabs/luminoth,,image,https://github.com/tryolabs/luminoth,https://github.com/tryolabs/luminoth,BSD-3-Clause,2017-02-16 15:07:46.000000,2020-12-24 21:01:24.000000,2020-01-07 20:53:25.000000,405,50.0,127.0,2357,838.0,Deep Learning toolkit for Computer Vision.,15.0,21,False,2018-11-09 21:35:17.000000,0.2.3,10.0,luminoth,,,,['tensorflow'],31.0,29.0,https://pypi.org/project/luminoth,2018-11-09 21:35:17.000000,2.0,1009.0,1279.0,,,,,,,,3.0,11347.0,,,,,,,,,,,,,,,,,,,,,\n545,DeepVariant,google/deepvariant,,medical-data,https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000000,2021-04-14 03:37:00.000000,2021-03-31 18:23:13.000000,541,3.0,395.0,2248,1503.0,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,19.0,21,True,2020-12-07 17:56:31.000000,1.1.0,15.0,,bioconda/deepvariant,,,['tensorflow'],,,,,,,811.0,https://anaconda.org/bioconda/deepvariant,2021-04-07 12:31:23.866000,28543.0,,,,,3.0,3230.0,,,,,,,,,,,,,,,,,,,,,\n546,Texar,asyml/texar,,nlp,https://github.com/asyml/texar,https://github.com/asyml/texar,Apache-2.0,2017-07-22 19:02:05.000000,2020-09-17 07:03:55.000000,2020-07-29 00:38:30.000000,352,33.0,126.0,2131,1719.0,\"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the..\",41.0,21,True,2019-11-19 04:11:18.000000,0.2.4,6.0,texar,,,,['tensorflow'],15.0,13.0,https://pypi.org/project/texar,2019-11-19 04:11:18.000000,2.0,110.0,110.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n547,knockknock,huggingface/knockknock,,ml-experiments,https://github.com/huggingface/knockknock,https://github.com/huggingface/knockknock,MIT,2019-03-20 13:08:55.000000,2021-01-09 06:11:00.000000,2020-03-16 04:26:47.000000,162,12.0,21.0,2050,75.0,Knock Knock: Get notified when your training ends with only two additional lines of code.,18.0,21,False,2020-03-04 04:15:47.000000,0.1.8,10.0,knockknock,conda-forge/knockknock,,,,159.0,156.0,https://pypi.org/project/knockknock,2020-03-16 14:30:23.000000,3.0,3732.0,4077.0,https://anaconda.org/conda-forge/knockknock,2020-03-17 01:52:16.317000,6213.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n548,PARL,PaddlePaddle/PARL,,reinforcement-learning,https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22.000000,2021-04-14 06:03:02.000000,2021-04-14 06:03:01.000000,458,47.0,168.0,1939,1.0,A high-performance distributed training framework for Reinforcement Learning.,23.0,21,True,2021-03-10 06:55:54.000000,1.4.3,18.0,parl,,,,['paddle'],72.0,72.0,https://pypi.org/project/parl,2021-03-10 06:55:54.000000,,836.0,836.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n549,cleanlab,cgnorthcutt/cleanlab,,others,https://github.com/cgnorthcutt/cleanlab,https://github.com/cgnorthcutt/cleanlab,GPL-3.0,2018-05-11 01:55:21.000000,2021-04-09 16:08:18.000000,2021-04-09 16:08:18.000000,172,18.0,35.0,1801,760.0,The standard package for machine learning with noisy labels and finding mislabeled data in Python.,6.0,21,False,2020-02-17 07:33:06.000000,0.1.1,15.0,cleanlab,,,,,11.0,11.0,https://pypi.org/project/cleanlab,2020-02-17 07:33:06.000000,,5116.0,5116.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n550,auto_ml,ClimbsRocks/auto_ml,,hyperopt,https://github.com/ClimbsRocks/auto_ml,https://github.com/ClimbsRocks/auto_ml,MIT,2016-08-07 21:35:08.000000,2021-02-10 07:52:35.000000,2018-03-25 19:46:25.000000,295,185.0,216.0,1530,1149.0,[UNMAINTAINED] Automated machine learning for analytics & production.,13.0,21,False,2018-02-22 01:13:03.000000,2.9.10,78.0,auto_ml,,,,,2.0,,https://pypi.org/project/auto_ml,2018-02-22 01:13:03.000000,2.0,5982.0,5982.0,,,,,,,,3.0,33.0,,,,,,,,,,,,,,,,,,,,,\n551,Sweetviz,fbdesignpro/sweetviz,,data-viz,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47.000000,2021-04-01 18:44:48.000000,2021-04-01 18:44:46.000000,160,20.0,55.0,1522,95.0,\"Visualize and compare datasets, target values and associations, with one line of code.\",6.0,21,True,2021-04-01 18:29:24.000000,2.1.0,28.0,sweetviz,,,,,0.0,,https://pypi.org/project/sweetviz,2021-04-01 18:29:24.000000,0.0,27744.0,27744.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n552,AmpliGraph,Accenture/AmpliGraph,,graph,https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05.000000,2020-08-25 17:19:24.000000,2020-08-25 17:00:58.000000,164,22.0,160.0,1466,895.0,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,14.0,21,True,2020-08-25 17:06:46.000000,1.3.2,11.0,ampligraph,,,,['tensorflow'],12.0,12.0,https://pypi.org/project/ampligraph,2020-08-25 16:59:58.000000,,1756.0,1756.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n553,reformer-pytorch,lucidrains/reformer-pytorch,,pytorch-utils,https://github.com/lucidrains/reformer-pytorch,https://github.com/lucidrains/reformer-pytorch,MIT,2020-01-09 20:42:37.000000,2021-03-08 14:51:57.000000,2021-03-08 14:51:06.000000,189,7.0,98.0,1441,240.0,\"Reformer, the efficient Transformer, in Pytorch.\",10.0,21,True,2021-03-08 14:51:57.000000,1.2.6,134.0,reformer-pytorch,,,,['pytorch'],,,https://pypi.org/project/reformer-pytorch,2021-03-08 14:51:57.000000,,1909.0,1909.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n554,TensorFlow Privacy,tensorflow/privacy,,privacy-ml,https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000000,2021-04-15 09:18:57.000000,2021-04-15 09:18:55.000000,291,55.0,78.0,1382,453.0,Library for training machine learning models with privacy for training data.,36.0,21,True,2020-09-03 01:13:47.000000,.0.5.1,10.0,tensorflow-privacy,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow-privacy,2021-04-13 19:14:58.000000,2.0,11138.0,11140.0,,,,,,,,2.0,42.0,,,,,,,,,,,,,,,,,,,,,\n555,EfficientNets,rwightman/gen-efficientnet-pytorch,,pytorch-utils,https://github.com/rwightman/gen-efficientnet-pytorch,https://github.com/rwightman/gen-efficientnet-pytorch,Apache-2.0,2019-05-11 19:35:56.000000,2020-11-30 05:51:08.000000,2020-11-30 05:49:27.000000,174,,48.0,1300,106.0,\"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.\",5.0,21,True,2020-08-20 19:55:21.000000,1.0.0,9.0,geffnet,,,,['pytorch'],45.0,45.0,https://pypi.org/project/geffnet,2020-08-20 19:55:21.000000,0.0,5977.0,5977.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n556,Classy Vision,facebookresearch/ClassyVision,,image,https://github.com/facebookresearch/ClassyVision,https://github.com/facebookresearch/ClassyVision,MIT,2019-09-13 22:54:44.000000,2021-04-15 11:28:05.000000,2021-04-15 11:28:01.000000,214,53.0,51.0,1234,359.0,An end-to-end PyTorch framework for image and video classification.,61.0,21,True,2020-11-20 21:02:29.000000,0.5.0,15.0,classy_vision,conda-forge/classy_vision,,,['pytorch'],0.0,,https://pypi.org/project/classy_vision,2020-11-20 21:02:29.000000,0.0,609.0,1067.0,https://anaconda.org/conda-forge/classy_vision,2020-12-11 20:08:25.437000,6875.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n557,MLBox,AxeldeRomblay/MLBox,,hyperopt,https://github.com/AxeldeRomblay/MLBox,https://github.com/AxeldeRomblay/MLBox,BSD-1-Clause,2017-06-01 16:59:24.000000,2020-11-24 17:57:08.000000,2020-08-25 09:26:27.000000,251,12.0,73.0,1207,1121.0,MLBox is a powerful Automated Machine Learning python library.,9.0,21,False,2020-08-25 09:32:37.000000,0.8.5,21.0,mlbox,,,,,22.0,22.0,https://pypi.org/project/mlbox,2020-08-25 09:32:37.000000,,3105.0,3105.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n558,datatable,h2oai/datatable,,data-containers,https://github.com/h2oai/datatable,https://github.com/h2oai/datatable,MPL-2.0,2017-03-03 02:32:59.000000,2021-04-14 06:46:42.000000,2021-04-08 19:13:01.000000,102,126.0,1133.0,1190,,A Python package for manipulating 2-dimensional tabular data structures.,28.0,21,True,2020-12-10 09:10:50.000000,0.11.1,15.0,datatable,,,,,6.0,,https://pypi.org/project/datatable,2020-12-10 08:04:03.000000,6.0,27772.0,27794.0,,,,,,,,3.0,970.0,,,,,,,,,,,,,,,,,,,,,\n559,Torch Points 3D,nicolas-chaulet/torch-points3d,,image,https://github.com/nicolas-chaulet/torch-points3d,https://github.com/nicolas-chaulet/torch-points3d,BSD-3-Clause,2019-12-06 11:33:34.000000,2021-04-15 06:08:03.000000,2021-04-09 13:28:50.000000,176,51.0,173.0,1186,1617.0,Pytorch framework for doing deep learning on point clouds.,20.0,21,True,2020-12-18 10:34:16.000000,1.2.0,13.0,torch-points3d,,,,['pytorch'],2.0,2.0,https://pypi.org/project/torch-points3d,2020-12-18 10:34:16.000000,,647.0,647.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n560,Higher,facebookresearch/higher,,pytorch-utils,https://github.com/facebookresearch/higher,https://github.com/facebookresearch/higher,Apache-2.0,2019-09-06 18:58:36.000000,2021-03-02 09:56:03.000000,2021-03-02 09:56:03.000000,79,32.0,48.0,1091,29.0,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,8.0,21,True,2020-07-14 12:20:32.000000,0.2.1,2.0,higher,,,,['pytorch'],45.0,45.0,https://pypi.org/project/higher,2020-07-14 12:20:32.000000,0.0,26398.0,26398.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n561,mljar-supervised,mljar/mljar-supervised,,hyperopt,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000000,2021-04-15 13:46:58.000000,2021-04-15 13:46:49.000000,132,56.0,298.0,1061,879.0,Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning.,9.0,21,True,2021-04-01 15:02:32.000000,0.10.3,70.0,mljar-supervised,,,,,10.0,10.0,https://pypi.org/project/mljar-supervised,2021-04-01 14:13:12.000000,,4950.0,4950.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n562,Sockeye,awslabs/sockeye,,nlp,https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30.000000,2021-04-07 12:00:31.000000,2021-04-07 12:00:29.000000,295,20.0,228.0,996,747.0,Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet.,52.0,21,True,2021-04-07 11:51:17.000000,2.3.14,63.0,sockeye,,,,['mxnet'],2.0,,https://pypi.org/project/sockeye,2021-04-07 11:51:17.000000,2.0,1103.0,1103.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n563,TabNet,dreamquark-ai/tabnet,,pytorch-utils,https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000000,2021-04-12 19:07:06.000000,2021-03-01 11:50:35.000000,187,35.0,108.0,943,168.0,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,18.0,21,True,2021-02-02 08:05:11.000000,3.1.1,17.0,pytorch-tabnet,,,,['pytorch'],0.0,,https://pypi.org/project/pytorch-tabnet,2021-02-02 08:05:11.000000,0.0,9286.0,9286.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n564,fastFM,ibayer/fastFM,,recommender-systems,https://github.com/ibayer/fastFM,https://github.com/ibayer/fastFM,BSD-3-Clause,2014-10-27 12:25:51.000000,2021-03-24 12:22:31.000000,2021-03-24 12:22:31.000000,188,44.0,59.0,915,297.0,fastFM: A Library for Factorization Machines.,20.0,21,True,2017-11-23 06:59:56.000000,0.2.11,10.0,fastfm,,,,,87.0,79.0,https://pypi.org/project/fastfm,2017-11-23 06:59:56.000000,8.0,1037.0,1042.0,,,,,,,,3.0,385.0,,,,,,,,,,,,,,,,,,,,,\n565,luminol,linkedin/luminol,,time-series-data,https://github.com/linkedin/luminol,https://github.com/linkedin/luminol,Apache-2.0,2015-11-18 23:16:33.000000,2020-12-27 09:54:35.000000,2018-01-09 07:46:55.000000,184,31.0,12.0,904,69.0,Anomaly Detection and Correlation library.,8.0,21,False,2016-01-20 01:01:44.000000,0.3.1,5.0,luminol,,,,,66.0,38.0,https://pypi.org/project/luminol,2017-12-11 06:04:15.000000,28.0,42931.0,42931.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n566,attention-ocr,emedvedev/attention-ocr,,ocr,https://github.com/emedvedev/attention-ocr,https://github.com/emedvedev/attention-ocr,MIT,2017-07-21 18:35:19.000000,2021-02-23 04:33:25.000000,2020-10-31 19:40:19.000000,228,19.0,126.0,850,196.0,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,27.0,21,True,2020-10-12 06:56:40.000000,0.7.6,21.0,aocr,,,,['tensorflow'],16.0,16.0,https://pypi.org/project/aocr,2019-04-19 05:28:27.000000,,530.0,530.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n567,Explainability 360,Trusted-AI/AIX360,,interpretability,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48.000000,2020-12-04 16:51:14.000000,2020-12-04 16:49:39.000000,170,26.0,19.0,815,305.0,Interpretability and explainability of data and machine learning models.,27.0,21,True,2020-10-28 09:32:21.000000,0.2.1,4.0,aix360,,,,,17.0,16.0,https://pypi.org/project/aix360,2020-10-28 09:18:17.000000,1.0,1139.0,1139.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n568,keras-ocr,faustomorales/keras-ocr,,ocr,https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50.000000,2021-03-31 15:57:11.000000,2021-03-31 14:26:39.000000,197,37.0,97.0,811,167.0,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,10.0,21,True,2020-11-26 17:19:39.000000,0.8.6,26.0,keras-ocr,,,,['tensorflow'],2.0,,https://pypi.org/project/keras-ocr,2020-11-26 17:19:39.000000,2.0,4235.0,9067.0,,,,,,,,3.0,33828.0,,,,,,,,,,,,,,,,,,,,,\n569,Darts,unit8co/darts,,time-series-data,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000000,2021-04-15 14:41:43.000000,2021-04-14 13:33:09.000000,109,19.0,65.0,805,338.0,A python library for easy manipulation and forecasting of time series.,25.0,21,True,2021-04-14 13:55:28.000000,0.7.0,11.0,u8darts,,unit8/darts,,,2.0,2.0,https://pypi.org/project/u8darts,2021-04-14 13:55:28.000000,0.0,8280.0,8283.0,,,,https://hub.docker.com/r/unit8/darts,2021-04-14 13:36:57.572146,,111.0,3.0,,-2.0,,,,,,,,,,,,,,,,,,,,\n570,iNNvestigate,albermax/innvestigate,,interpretability,https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20.000000,2020-12-30 15:22:24.000000,2020-10-16 15:26:56.000000,178,78.0,129.0,792,882.0,A toolbox to iNNvestigate neural networks' predictions!.,18.0,21,True,2020-11-14 11:35:59.000000,1.0.9,2.0,innvestigate,,,,['tensorflow'],54.0,53.0,https://pypi.org/project/innvestigate,2020-11-14 11:35:59.000000,1.0,588.0,588.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n571,rows,turicas/rows,,data-loading,https://github.com/turicas/rows,https://github.com/turicas/rows,LGPL-3.0,2014-05-07 05:43:11.000000,2021-03-11 16:51:43.000000,2021-03-11 16:51:28.000000,136,160.0,149.0,743,738.0,\"A common, beautiful interface to tabular data, no matter the format.\",30.0,21,False,2019-02-14 21:20:15.000000,0.4.1,9.0,rows,,,,,171.0,119.0,https://pypi.org/project/rows,2019-02-14 21:12:03.000000,52.0,1899.0,1899.0,,,,,,,,3.0,37.0,,,,,,,,,,,,,,,,,,,,,\n572,lightly,lightly-ai/lightly,,image,https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000000,2021-04-15 08:56:30.000000,2021-04-15 08:40:24.000000,42,34.0,92.0,738,396.0,A python library for self-supervised learning on images.,8.0,21,True,2021-04-15 08:56:30.000000,1.1.5,16.0,lightly,,,,['pytorch'],11.0,11.0,https://pypi.org/project/lightly,2021-04-01 09:02:50.000000,0.0,2531.0,2531.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n573,Madmom,CPJKU/madmom,,audio,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06.000000,2020-04-14 03:42:18.000000,2019-12-19 14:46:37.000000,124,54.0,179.0,734,1722.0,Python audio and music signal processing library.,19.0,21,False,2018-11-14 14:57:41.000000,0.16.1,11.0,madmom,,,,,154.0,120.0,https://pypi.org/project/madmom,2018-11-14 14:56:22.000000,34.0,2520.0,2520.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n574,alibi-detect,SeldonIO/alibi-detect,,others,https://github.com/SeldonIO/alibi-detect,https://github.com/SeldonIO/alibi-detect,Apache-2.0,2019-10-07 13:29:13.000000,2021-04-15 14:24:55.000000,2021-04-12 15:11:02.000000,65,50.0,60.0,645,333.0,\"Algorithms for outlier and adversarial instance detection, concept drift and metrics.\",8.0,21,True,2021-04-12 15:10:40.000000,0.6.0,12.0,alibi-detect,,,,,23.0,22.0,https://pypi.org/project/alibi-detect,2021-04-12 15:05:37.000000,1.0,5289.0,5289.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n575,Prince,MaxHalford/prince,,others,https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000000,2021-02-24 22:35:15.000000,2021-01-11 21:14:58.000000,120,29.0,64.0,615,179.0,\"Python factor analysis library (PCA, CA, MCA, MFA, FAMD).\",9.0,21,True,2020-10-06 11:26:47.000000,0.7.1,41.0,prince,,,,['sklearn'],120.0,114.0,https://pypi.org/project/prince,2020-10-06 11:26:47.000000,6.0,8052.0,8052.0,,,,,,,,3.0,,-1.0,,,,,,,,,,,,,,,,,,,,\n576,pdpipe,pdpipe/pdpipe,,data-pipelines,https://github.com/pdpipe/pdpipe,https://github.com/pdpipe/pdpipe,MIT,2017-01-24 20:37:22.000000,2021-02-23 19:36:13.000000,2021-02-23 18:30:54.000000,27,6.0,15.0,603,342.0,Easy pipelines for pandas DataFrames.,8.0,21,True,2021-02-23 19:40:09.000000,0.0.51,49.0,pdpipe,,,,['pandas'],29.0,29.0,https://pypi.org/project/pdpipe,2020-11-09 09:32:37.000000,0.0,2229.0,2229.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n577,Torchbearer,pytorchbearer/torchbearer,,ml-frameworks,https://github.com/pytorchbearer/torchbearer,https://github.com/pytorchbearer/torchbearer,MIT,2018-03-12 16:30:42.000000,2021-03-26 19:56:57.000000,2021-03-26 19:56:57.000000,64,8.0,237.0,594,430.0,torchbearer: A model fitting library for PyTorch.,13.0,21,True,2020-01-31 14:07:22.000000,0.5.3,24.0,torchbearer,,,,['pytorch'],47.0,41.0,https://pypi.org/project/torchbearer,2020-01-31 14:05:56.000000,6.0,1952.0,1952.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n578,Sentinelsat,sentinelsat/sentinelsat,,geospatial-data,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26.000000,2021-04-14 13:12:57.000000,2021-04-10 20:57:06.000000,181,42.0,216.0,583,,Search and download Copernicus Sentinel satellite images.,36.0,21,False,2020-06-12 07:15:51.000000,0.14,36.0,sentinelsat,,,,,230.0,186.0,https://pypi.org/project/sentinelsat,2020-06-12 07:08:37.000000,44.0,19163.0,19166.0,,,,,,,,3.0,196.0,-2.0,,,,,,,,,,,,,,,,,,,,\n579,Mapbox GL,mapbox/mapboxgl-jupyter,,geospatial-data,https://github.com/mapbox/mapboxgl-jupyter,https://github.com/mapbox/mapboxgl-jupyter,MIT,2017-08-08 15:10:51.000000,2021-03-02 19:26:30.000000,2019-12-03 21:57:25.000000,121,35.0,67.0,563,220.0,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,20.0,21,False,2019-06-03 21:24:10.000000,0.10.2,20.0,mapboxgl,,,,['jupyter'],113.0,95.0,https://pypi.org/project/mapboxgl,2019-06-02 15:18:57.000000,18.0,7417.0,7417.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n580,Labml,lab-ml/labml,,ml-experiments,https://github.com/lab-ml/labml,https://github.com/lab-ml/labml,MIT,2018-11-16 09:34:48.000000,2021-04-14 12:59:19.000000,2021-04-14 12:59:19.000000,42,,6.0,535,975.0,Monitor deep learning model training and hardware usage from your mobile phone.,6.0,21,True,2021-04-08 09:36:13.000000,0.4.113,91.0,labml,,,,,22.0,22.0,https://pypi.org/project/labml,2021-04-08 10:15:42.000000,0.0,2327.0,2327.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n581,Caer,jasmcaus/caer,,image,https://github.com/jasmcaus/caer,https://github.com/jasmcaus/caer,MIT,2020-08-06 18:36:14.000000,2021-04-07 14:18:54.000000,2021-04-07 14:20:42.000000,62,5.0,9.0,471,4887.0,\"A lightweight Computer Vision library. Scale your models, not boilerplate.\",5.0,21,True,2021-01-28 14:06:10.000000,1.9.8,109.0,caer,,,https://caer.rtfd.io,,0.0,,https://pypi.org/project/caer,2021-01-28 14:06:10.000000,0.0,16143.0,16144.0,,,,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,,,,\n582,Poutyne,GRAAL-Research/poutyne,,pytorch-utils,https://github.com/GRAAL-Research/poutyne,https://github.com/GRAAL-Research/poutyne,LGPL-3.0,2017-12-07 18:30:17.000000,2021-04-15 14:55:19.000000,2021-03-24 15:11:22.000000,50,7.0,36.0,466,530.0,A simplified framework and utilities for PyTorch.,15.0,21,False,2021-03-05 18:27:25.000000,1.3.1,20.0,poutyne,,,,['pytorch'],61.0,57.0,https://pypi.org/project/poutyne,2021-03-05 18:27:57.000000,4.0,1181.0,1181.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n583,explainerdashboard,oegedijk/explainerdashboard,,interpretability,https://github.com/oegedijk/explainerdashboard,https://github.com/oegedijk/explainerdashboard,MIT,2019-10-30 08:26:16.000000,2021-04-13 18:15:41.000000,2021-04-13 18:13:52.000000,50,7.0,81.0,451,608.0,Quickly build Explainable AI dashboards that show the inner workings of so-called blackbox machine learning models.,8.0,21,True,2021-04-13 18:15:41.000000,0.3.4,72.0,explainerdashboard,,,,,12.0,12.0,https://pypi.org/project/explainerdashboard,2021-03-22 19:12:21.000000,,6904.0,6904.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n584,Neuraxle,Neuraxio/Neuraxle,,hyperopt,https://github.com/Neuraxio/Neuraxle,https://github.com/Neuraxio/Neuraxle,Apache-2.0,2019-03-26 21:01:54.000000,2021-04-14 19:56:09.000000,2021-03-30 14:59:37.000000,41,131.0,145.0,399,1411.0,A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right..,7.0,21,True,2021-02-25 16:05:06.000000,0.5.7,20.0,neuraxle,,,,,18.0,18.0,https://pypi.org/project/neuraxle,2021-02-25 16:00:44.000000,0.0,492.0,492.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n585,pydlm,wwrechard/pydlm,,time-series-data,https://github.com/wwrechard/pydlm,https://github.com/wwrechard/pydlm,BSD-3-Clause,2016-06-29 07:58:53.000000,2021-02-24 14:21:28.000000,2019-10-22 07:18:40.000000,85,35.0,8.0,380,362.0,A python library for Bayesian time series modeling.,6.0,21,False,2016-11-06 01:43:35.000000,0.1.1,13.0,pydlm,,,,,20.0,18.0,https://pypi.org/project/pydlm,2018-12-19 10:27:54.000000,2.0,29365.0,29365.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n586,optunity,claesenm/optunity,,hyperopt,https://github.com/claesenm/optunity,https://github.com/claesenm/optunity,BSD-3-Clause,2014-05-28 17:29:11.000000,2020-05-11 14:32:39.000000,2020-05-11 14:32:38.000000,72,46.0,48.0,366,782.0,optimization routines for hyperparameter tuning.,9.0,21,True,2015-09-30 05:02:00.000000,1.1.1,6.0,optunity,,,,,84.0,60.0,https://pypi.org/project/optunity,2015-09-30 05:02:00.000000,24.0,15470.0,15470.0,,,,,,,,3.0,64.0,,,,,,,,,,,,,,,,,,,,,\n587,Pandas Summary,mouradmourafiq/pandas-summary,,data-containers,https://github.com/mouradmourafiq/pandas-summary,https://github.com/mouradmourafiq/pandas-summary,MIT,2016-03-25 21:59:32.000000,2019-08-24 21:10:25.000000,2019-08-24 21:10:24.000000,35,8.0,5.0,362,24.0,An extension to pandas dataframes describe function.,6.0,21,False,2016-08-30 07:54:59.000000,0.0.41,8.0,pandas-summary,,,,['pandas'],678.0,588.0,https://pypi.org/project/pandas-summary,2016-08-30 07:54:59.000000,90.0,32834.0,32834.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n588,Submit it,facebookincubator/submitit,,distributed-ml,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09.000000,2021-04-12 14:18:52.000000,2021-04-01 13:33:42.000000,22,13.0,23.0,334,59.0,Python 3.6+ toolbox for submitting jobs to Slurm.,11.0,21,True,2021-04-08 08:01:58.000000,1.3.2,13.0,submitit,conda-forge/submitit,,,,113.0,113.0,https://pypi.org/project/submitit,2021-04-08 08:01:58.000000,0.0,5312.0,5590.0,https://anaconda.org/conda-forge/submitit,2021-02-10 12:48:57.745000,2231.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n589,joypy,sbebo/joypy,,data-viz,https://github.com/sbebo/joypy,https://github.com/sbebo/joypy,MIT,2017-07-30 17:18:50.000000,2021-04-02 15:12:19.000000,2021-04-02 15:10:14.000000,32,5.0,36.0,327,110.0,Joyplots in Python with matplotlib & pandas.,5.0,21,True,2020-12-28 11:54:36.000000,0.2.4,16.0,joypy,conda-forge/joypy,,,,79.0,73.0,https://pypi.org/project/joypy,2020-12-28 11:54:36.000000,6.0,4345.0,4706.0,https://anaconda.org/conda-forge/joypy,2020-12-28 14:07:53.760000,9041.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n590,scikit-rebate,EpistasisLab/scikit-rebate,,others,https://github.com/EpistasisLab/scikit-rebate,https://github.com/EpistasisLab/scikit-rebate,MIT,2016-09-19 13:36:17.000000,2021-03-20 17:11:52.000000,2021-02-15 17:10:59.000000,58,13.0,18.0,315,283.0,\"A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for..\",13.0,21,True,2017-04-12 16:12:01.000000,0.3.4,13.0,skrebate,,,,['sklearn'],189.0,127.0,https://pypi.org/project/skrebate,2021-03-20 17:11:52.000000,62.0,2134.0,2134.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n591,ploomber,ploomber/ploomber,,data-pipelines,https://github.com/ploomber/ploomber,https://github.com/ploomber/ploomber,Apache-2.0,2020-01-20 20:13:06.000000,2021-04-12 03:50:44.000000,2021-03-14 23:27:48.000000,4,39.0,249.0,259,1714.0,\"Lean Data Science workflows: develop and test locally. Deploy to Kubernetes, Airflow, or any web framework.\",4.0,21,True,2021-03-07 17:10:50.000000,0.9.5,38.0,ploomber,,,,,13.0,13.0,https://pypi.org/project/ploomber,2021-03-07 17:10:50.000000,0.0,3175.0,3175.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n592,SUOD,yzhao062/SUOD,,others,https://github.com/yzhao062/SUOD,https://github.com/yzhao062/SUOD,BSD-2-Clause,2019-11-20 00:23:54.000000,2021-01-19 14:42:08.000000,2021-01-19 14:42:01.000000,29,3.0,2.0,255,134.0,(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection).,1.0,21,True,2021-01-15 02:12:04.000000,0.0.6,7.0,suod,,,,,303.0,303.0,https://pypi.org/project/suod,2021-01-15 02:12:04.000000,,22017.0,22017.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n593,datatest,shawnbrown/datatest,,data-loading,https://github.com/shawnbrown/datatest,https://github.com/shawnbrown/datatest,Apache-2.0,2016-05-12 13:16:27.000000,2021-04-05 06:33:41.000000,2021-04-05 06:32:44.000000,12,9.0,42.0,237,2159.0,Tools for test driven data-wrangling and data validation.,6.0,21,True,2021-01-04 03:43:58.000000,0.11.1,17.0,datatest,,,,,33.0,31.0,https://pypi.org/project/datatest,2021-01-04 03:39:40.000000,2.0,7936.0,7936.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n594,Auto ViML,AutoViML/Auto_ViML,,hyperopt,https://github.com/AutoViML/Auto_ViML,https://github.com/AutoViML/Auto_ViML,Apache-2.0,2019-06-10 13:09:15.000000,2021-04-15 00:54:35.000000,2021-04-14 01:35:22.000000,53,3.0,14.0,227,288.0,Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome...,6.0,21,True,2021-03-21 12:25:19.000000,0.1.680,130.0,autoviml,,,,,13.0,13.0,https://pypi.org/project/autoviml,2021-04-15 00:54:35.000000,0.0,4498.0,4498.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n595,quinn,MrPowers/quinn,,ml-experiments,https://github.com/MrPowers/quinn,https://github.com/MrPowers/quinn,Apache-2.0,2017-09-15 13:02:42.000000,2021-03-27 14:31:44.000000,2021-02-09 04:48:07.000000,28,17.0,9.0,226,110.0,pyspark methods to enhance developer productivity.,6.0,21,True,2021-02-06 15:21:04.000000,0.9.0,12.0,quinn,,,,['spark'],6.0,,https://pypi.org/project/quinn,2021-02-06 15:21:04.000000,6.0,200376.0,200376.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n596,StaticFrame,InvestmentSystems/static-frame,,data-containers,https://github.com/InvestmentSystems/static-frame,https://github.com/InvestmentSystems/static-frame,MIT,2018-01-03 15:07:52.000000,2021-04-15 01:18:45.000000,2021-04-15 01:18:38.000000,22,25.0,269.0,220,2461.0,Immutable and grow-only Pandas-like DataFrames with a more explicit and consistent interface.,16.0,21,True,2021-03-31 04:29:58.000000,0.8.6,104.0,static-frame,conda-forge/static-frame,,,,6.0,6.0,https://pypi.org/project/static-frame,2021-03-17 21:12:08.000000,0.0,1355.0,4372.0,https://anaconda.org/conda-forge/static-frame,2021-03-31 11:55:57.289000,78467.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n597,fletcher,xhochy/fletcher,,data-containers,https://github.com/xhochy/fletcher,https://github.com/xhochy/fletcher,MIT,2018-03-04 16:44:22.000000,2021-02-18 14:46:18.000000,2021-02-18 14:46:18.000000,33,34.0,40.0,213,520.0,Pandas ExtensionDType/Array backed by Apache Arrow.,24.0,21,True,2021-01-17 20:11:01.000000,0.7.2,16.0,fletcher,conda-forge/fletcher,,,['pandas'],3.0,3.0,https://pypi.org/project/fletcher,2021-01-17 20:11:01.000000,0.0,799.0,1474.0,https://anaconda.org/conda-forge/fletcher,2021-01-17 21:23:17.140000,22298.0,,,,,3.0,12.0,,,,,,,,,,,,,,,,,,,,,\n598,scikit-posthocs,maximtrp/scikit-posthocs,,probabilistics,https://github.com/maximtrp/scikit-posthocs,https://github.com/maximtrp/scikit-posthocs,MIT,2017-06-22 19:41:37.000000,2021-03-17 06:05:27.000000,2021-03-15 16:05:26.000000,21,4.0,36.0,194,453.0,Multiple Pairwise Comparisons (Post Hoc) Tests in Python.,8.0,21,True,2021-03-17 06:05:28.000000,0.6.7,21.0,scikit-posthocs,,,,['sklearn'],6.0,,https://pypi.org/project/scikit-posthocs,2021-03-15 16:05:51.000000,6.0,13982.0,13982.0,,,,,,,,3.0,19.0,,,,,,,,,,,,,,,,,,,,,\n599,Qlib,microsoft/qlib,,financial-data,https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000000,2021-04-14 12:05:07.000000,2021-04-14 12:05:07.000000,758,110.0,96.0,4801,,\"Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research,..\",39.0,20,True,2021-02-02 09:29:47.000000,0.6.2,16.0,pyqlib,,,,['pytorch'],1.0,1.0,https://pypi.org/project/pyqlib,2021-02-02 09:29:47.000000,,4301.0,4333.0,,,,,,,,3.0,229.0,,,,,,,,,,,,,,,,,,,,,\n600,TTS,mozilla/TTS,,audio,https://github.com/mozilla/TTS,https://github.com/mozilla/TTS,MPL-2.0,2018-01-23 14:22:06.000000,2021-04-13 23:42:55.000000,2021-02-12 10:36:31.000000,709,31.0,455.0,4168,2184.0,Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts).,55.0,20,True,2021-01-29 00:03:56.000000,0.0.9,1.0,,,,,,,,,,,,145.0,,,,,,,,3.0,437.0,,,,,,,,,,,,,,,,,,,,,\n601,MindsDB,mindsdb/mindsdb,,ml-frameworks,https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,GPL-3.0,2018-08-02 17:56:45.000000,2021-04-15 12:34:16.000000,2021-04-09 14:51:04.000000,436,46.0,516.0,3666,,Predictive AI layer for existing databases.,56.0,20,False,2021-04-09 15:58:03.000000,2.26.0,43.0,mindsdb,,,,['pytorch'],6.0,,https://pypi.org/project/mindsdb,2019-03-19 05:07:23.000000,6.0,4495.0,4495.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n602,DALI,NVIDIA/DALI,,gpu-utilities,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000000,2021-04-15 14:30:19.000000,2021-04-15 08:46:58.000000,381,171.0,776.0,3216,1808.0,A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to..,57.0,20,True,2021-04-15 13:43:06.000000,1.1.0,39.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n603,FATE,FederatedAI/FATE,,privacy-ml,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000000,2021-04-15 08:00:22.000000,2021-04-06 06:35:37.000000,860,289.0,542.0,2958,7576.0,An Industrial Grade Federated Learning Framework.,55.0,20,True,2021-03-31 14:56:10.000000,1.6.0,26.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n604,AdaBound,Luolc/AdaBound,,pytorch-utils,https://github.com/Luolc/AdaBound,https://github.com/Luolc/AdaBound,Apache-2.0,2019-02-15 18:05:20.000000,2019-03-06 17:01:52.000000,2019-03-06 17:01:45.000000,327,16.0,7.0,2841,27.0,An optimizer that trains as fast as Adam and as good as SGD.,2.0,20,False,2019-03-06 16:44:42.000000,0.0.5,4.0,adabound,,,,['pytorch'],119.0,107.0,https://pypi.org/project/adabound,2019-02-26 04:23:45.000000,12.0,1452.0,1452.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n605,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,,graph,https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16.000000,2021-04-01 06:01:01.000000,2021-03-29 19:01:19.000000,370,41.0,104.0,2747,143.0,Generate embeddings from large-scale graph-structured data.,20.0,20,True,2019-10-14 16:45:11.000000,1.0.0,3.0,torchbiggraph,,,,['pytorch'],4.0,,https://pypi.org/project/torchbiggraph,2019-05-01 21:31:13.000000,4.0,1352.0,1356.0,,,,,,,,3.0,112.0,,,,,,,,,,,,,,,,,,,,,\n606,tf-quant-finance,google/tf-quant-finance,,financial-data,https://github.com/google/tf-quant-finance,https://github.com/google/tf-quant-finance,Apache-2.0,2019-07-24 16:09:50.000000,2021-04-14 22:54:02.000000,2021-04-14 22:53:55.000000,332,16.0,11.0,2570,680.0,High-performance TensorFlow library for quantitative finance.,30.0,20,True,,,22.0,tf-quant-finance,,,,['tensorflow'],4.0,4.0,https://pypi.org/project/tf-quant-finance,2021-04-13 13:30:21.000000,0.0,308.0,308.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n607,NeMo,NVIDIA/NeMo,,nlp,https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000000,2021-04-15 07:35:05.000000,2021-04-14 23:06:55.000000,450,196.0,304.0,2563,,NeMo: a toolkit for conversational AI.,87.0,20,True,2020-07-10 00:01:18.000000,0.11.0,36.0,nemo-toolkit,,,,['pytorch'],4.0,,https://pypi.org/project/nemo-toolkit,2020-12-11 21:33:53.000000,4.0,6680.0,6743.0,,,,,,,,3.0,1212.0,,,,,,,,,,,,,,,,,,,,,\n608,image-match,EdjoLabs/image-match,,image,https://github.com/EdjoLabs/image-match,https://github.com/EdjoLabs/image-match,Apache-2.0,2016-03-08 18:16:45.000000,2021-01-04 18:36:01.000000,2021-01-04 18:35:59.000000,371,54.0,48.0,2549,404.0,Quickly search over billions of images.,17.0,20,True,2017-02-13 14:54:48.000000,1.1.2,10.0,image_match,,,,,6.0,,https://pypi.org/project/image_match,2017-02-13 14:54:48.000000,6.0,1689.0,1689.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n609,DeepWalk,phanein/deepwalk,,graph,https://github.com/phanein/deepwalk,https://github.com/phanein/deepwalk,GPL-3.0,2014-08-23 03:38:20.000000,2020-04-02 01:05:36.000000,2020-04-02 01:05:35.000000,759,29.0,80.0,2219,46.0,DeepWalk - Deep Learning for Graphs.,10.0,20,False,2018-04-29 21:05:18.000000,1.0.3,4.0,deepwalk,,,,,43.0,36.0,https://pypi.org/project/deepwalk,2018-04-29 21:05:18.000000,7.0,2632.0,2632.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n610,Texthero,jbesomi/texthero,,nlp,https://github.com/jbesomi/texthero,https://github.com/jbesomi/texthero,MIT,2020-04-06 15:16:05.000000,2021-04-08 07:07:32.000000,2021-04-07 16:52:32.000000,188,73.0,50.0,2148,268.0,\"Text preprocessing, representation and visualization from zero to hero.\",18.0,20,True,2020-07-06 20:32:28.000000,1.0.9,9.0,texthero,,,,,0.0,,https://pypi.org/project/texthero,2020-07-06 20:29:25.000000,0.0,5462.0,5467.0,,,,,,,,3.0,65.0,,,,,,,,,,,,,,,,,,,,,\n611,HiPlot,facebookresearch/hiplot,,data-viz,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41.000000,2021-04-09 14:42:14.000000,2021-04-01 06:59:45.000000,92,9.0,53.0,2076,127.0,HiPlot makes understanding high dimensional data easy.,6.0,20,True,2021-03-24 11:12:36.000000,0.1.24,48.0,hiplot,conda-forge/hiplot,,,,2.0,2.0,https://pypi.org/project/hiplot,2021-04-01 07:10:41.000000,0.0,7757.0,11477.0,https://anaconda.org/conda-forge/hiplot,2021-03-24 13:41:04.005000,52093.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n612,Coach,IntelLabs/coach,,reinforcement-learning,https://github.com/IntelLabs/coach,https://github.com/IntelLabs/coach,Apache-2.0,2017-10-01 19:27:43.000000,2021-03-22 10:33:35.000000,2021-02-09 13:54:44.000000,379,80.0,183.0,1956,513.0,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,34.0,20,True,2019-10-10 14:17:10.000000,1.0.1,13.0,rl_coach,,,,,2.0,,https://pypi.org/project/rl_coach,2019-10-10 14:17:10.000000,2.0,271.0,271.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n613,hiddenlayer,waleedka/hiddenlayer,,ml-experiments,https://github.com/waleedka/hiddenlayer,https://github.com/waleedka/hiddenlayer,MIT,2018-05-18 22:34:51.000000,2020-04-24 07:32:11.000000,2020-04-24 06:58:09.000000,200,44.0,33.0,1429,58.0,\"Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.\",6.0,20,True,2018-12-03 04:33:29.000000,0.2,3.0,hiddenlayer,,,,\"['pytorch', 'tensorflow', 'jupyter']\",72.0,64.0,https://pypi.org/project/hiddenlayer,2020-04-24 07:32:11.000000,8.0,3052.0,3052.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n614,DELTA,Delta-ML/delta,,nlp,https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57.000000,2021-04-14 16:33:22.904950,2020-12-17 06:57:15.000000,288,9.0,69.0,1405,932.0,DELTA is a deep learning based natural language and speech processing platform.,41.0,20,True,2020-07-16 09:31:45.000000,0.3.3,4.0,delta-nlp,,zh794390558/delta,,['tensorflow'],,,https://pypi.org/project/delta-nlp,2020-03-27 04:46:19.000000,,67.0,602.0,,,,https://hub.docker.com/r/zh794390558/delta,2021-04-14 16:33:22.904950,,12314.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n615,ThunderSVM,Xtra-Computing/thundersvm,,ml-frameworks,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04.000000,2021-02-10 05:12:44.000000,2021-02-10 05:12:44.000000,169,45.0,145.0,1294,902.0,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,33.0,20,True,2020-03-13 12:36:30.000000,0.3.12,9.0,thundersvm,,,,,,,https://pypi.org/project/thundersvm,2020-03-13 12:36:30.000000,,545.0,585.0,,,,,,,,3.0,2169.0,,,,,,,,,,,,,,,,,,,,,\n616,NiftyNet,NifTK/NiftyNet,,medical-data,https://github.com/NifTK/NiftyNet,https://github.com/NifTK/NiftyNet,Apache-2.0,2017-08-30 07:55:43.000000,2020-04-21 19:54:52.000000,2020-04-21 19:54:51.000000,385,102.0,224.0,1279,2848.0,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,58.0,20,True,2019-10-10 10:59:33.000000,0.6.0,11.0,niftynet,,,,['tensorflow'],1.0,,https://pypi.org/project/niftynet,2019-10-10 10:59:33.000000,1.0,289.0,289.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n617,DLTK,DLTK/DLTK,,medical-data,https://github.com/DLTK/DLTK,https://github.com/DLTK/DLTK,Apache-2.0,2017-05-02 15:40:36.000000,2021-01-15 01:31:30.000000,2019-01-21 14:01:28.000000,386,11.0,24.0,1256,379.0,Deep Learning Toolkit for Medical Image Analysis.,9.0,20,False,2018-02-26 17:43:57.000000,0.2.1,5.0,dltk,,,,['tensorflow'],20.0,20.0,https://pypi.org/project/dltk,2018-02-26 17:43:57.000000,,158.0,158.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n618,Haiku,deepmind/dm-haiku,,ml-frameworks,https://github.com/deepmind/dm-haiku,https://github.com/deepmind/dm-haiku,Apache-2.0,2020-02-18 07:14:02.000000,2021-04-12 13:14:50.000000,2021-04-12 11:47:45.000000,73,20.0,60.0,1076,528.0,JAX-based neural network library.,40.0,20,True,2021-04-12 13:12:13.000000,0.0.4,6.0,,,,,,80.0,80.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n619,CausalNex,quantumblacklabs/causalnex,,interpretability,https://github.com/quantumblacklabs/causalnex,https://github.com/quantumblacklabs/causalnex,Apache-2.0,2019-12-12 15:26:09.000000,2021-04-13 12:00:47.000000,2021-04-13 11:01:10.000000,114,34.0,37.0,1071,106.0,A Python library that helps data scientists to infer causation rather than observing correlation.,18.0,20,True,2021-03-11 19:11:06.000000,0.9.2,14.0,causalnex,,,,\"['pytorch', 'sklearn']\",11.0,11.0,https://pypi.org/project/causalnex,2021-03-11 19:11:06.000000,,5796.0,5796.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n620,TaskTiger,closeio/tasktiger,,data-pipelines,https://github.com/closeio/tasktiger,https://github.com/closeio/tasktiger,MIT,2015-05-14 00:26:32.000000,2021-04-15 08:17:44.000000,2021-04-15 07:56:53.000000,60,37.0,31.0,1062,264.0,Python task queue using Redis.,21.0,20,True,2021-03-29 20:44:54.000000,0.13,24.0,tasktiger,,,,,38.0,20.0,https://pypi.org/project/tasktiger,2021-03-29 20:43:36.000000,18.0,807.0,807.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n621,gplearn,trevorstephens/gplearn,,others,https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14.000000,2020-02-15 08:12:38.000000,2020-02-15 08:12:17.000000,158,33.0,118.0,923,146.0,\"Genetic Programming in Python, with a scikit-learn inspired API.\",10.0,20,False,2019-06-01 02:04:52.000000,0.4.1,5.0,gplearn,,,,['sklearn'],162.0,148.0,https://pypi.org/project/gplearn,2019-06-01 02:04:52.000000,14.0,2205.0,2205.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n622,pyts,johannfaouzi/pyts,,time-series-data,https://github.com/johannfaouzi/pyts,https://github.com/johannfaouzi/pyts,BSD-3-Clause,2017-07-31 09:23:16.000000,2021-04-01 12:14:04.000000,2021-03-31 07:40:39.000000,100,26.0,19.0,920,,A Python package for time series classification.,7.0,20,True,2020-03-21 12:41:33.000000,0.11.0,17.0,pyts,conda-forge/pyts,,,,103.0,99.0,https://pypi.org/project/pyts,2020-03-21 12:36:40.000000,4.0,18088.0,18438.0,https://anaconda.org/conda-forge/pyts,2020-03-21 14:08:24.734000,7002.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n623,pytorch-forecasting,jdb78/pytorch-forecasting,,time-series-data,https://github.com/jdb78/pytorch-forecasting,https://github.com/jdb78/pytorch-forecasting,MIT,2020-07-03 13:05:24.000000,2021-04-15 06:34:28.000000,2021-04-08 16:41:02.000000,109,36.0,142.0,918,805.0,Time series forecasting with PyTorch.,16.0,20,True,2021-03-07 14:35:09.000000,0.8.4,25.0,pytorch-forecasting,,,,,,,https://pypi.org/project/pytorch-forecasting,2021-03-07 14:35:09.000000,,9194.0,9194.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n624,geoplotlib,andrea-cuttone/geoplotlib,,geospatial-data,https://github.com/andrea-cuttone/geoplotlib,https://github.com/andrea-cuttone/geoplotlib,MIT,2015-02-24 13:13:07.000000,2020-04-10 20:00:31.000000,2019-05-06 07:06:50.000000,146,24.0,18.0,911,159.0,python toolbox for visualizing geographical data and making maps.,8.0,20,False,2016-07-27 14:55:01.000000,0.3.2,4.0,geoplotlib,,,,,105.0,94.0,https://pypi.org/project/geoplotlib,2016-07-27 14:55:01.000000,11.0,2112.0,2112.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n625,Databolt Flow,d6t/d6tflow,,data-pipelines,https://github.com/d6t/d6tflow,https://github.com/d6t/d6tflow,MIT,2019-02-03 01:51:22.000000,2021-04-14 02:36:42.000000,2021-04-14 02:36:32.000000,67,8.0,12.0,909,218.0,Python library for building highly effective data science workflows.,12.0,20,True,2021-03-17 03:43:31.000000,0.2.3,20.0,d6tflow,,,,,13.0,13.0,https://pypi.org/project/d6tflow,2021-03-17 03:43:31.000000,,530.0,530.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n626,RecBole,RUCAIBox/RecBole,,recommender-systems,https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000000,2021-04-10 07:37:01.000000,2021-04-10 07:37:01.000000,127,28.0,84.0,858,2974.0,\"A unified, comprehensive and efficient recommendation library.\",36.0,20,True,2021-04-06 09:53:37.000000,0.2.1,5.0,recbole,aibox/recbole,,,['pytorch'],,,https://pypi.org/project/recbole,2021-03-22 14:22:38.000000,,677.0,739.0,https://anaconda.org/aibox/recbole,2021-03-22 14:53:52.593000,314.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n627,TFEncrypted,tf-encrypted/tf-encrypted,,privacy-ml,https://github.com/tf-encrypted/tf-encrypted,https://github.com/tf-encrypted/tf-encrypted,Apache-2.0,2018-03-21 18:22:13.000000,2020-11-19 15:48:03.000000,2020-08-19 16:56:56.000000,139,167.0,231.0,842,595.0,A Framework for Encrypted Machine Learning in TensorFlow.,28.0,20,True,2019-09-27 20:00:01.000000,0.5.9,35.0,tf-encrypted,,,,['tensorflow'],62.0,46.0,https://pypi.org/project/tf-encrypted,2019-10-21 18:05:53.000000,16.0,814.0,814.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n628,mrq,pricingassistant/mrq,,data-pipelines,https://github.com/pricingassistant/mrq,https://github.com/pricingassistant/mrq,MIT,2014-02-13 09:32:40.000000,2021-03-31 18:42:38.000000,2020-12-13 18:58:15.000000,113,59.0,119.0,840,709.0,Mr. Queue - A distributed worker task queue in Python using Redis & gevent.,37.0,20,True,2018-08-31 16:03:04.000000,0.9.10,70.0,mrq,,,,,35.0,23.0,https://pypi.org/project/mrq,2018-08-31 16:03:04.000000,12.0,864.0,864.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n629,DALEX,ModelOriented/DALEX,,interpretability,https://github.com/ModelOriented/DALEX,https://github.com/ModelOriented/DALEX,GPL-3.0,2018-02-18 03:24:12.000000,2021-04-15 12:21:01.000000,2021-04-07 07:28:56.000000,111,13.0,262.0,813,547.0,moDel Agnostic Language for Exploration and eXplanation.,17.0,20,False,2021-02-19 15:24:01.000000,1.0.1,19.0,dalex,,,,,11.0,11.0,https://pypi.org/project/dalex,2021-02-19 15:24:01.000000,0.0,6242.0,6242.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n630,calamari,Calamari-OCR/calamari,,ocr,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,Apache-2.0,2018-03-20 15:22:29.000000,2021-04-11 17:51:28.000000,2021-03-27 13:13:47.000000,171,28.0,154.0,799,341.0,Line based ATR Engine based on OCRopy.,17.0,20,True,2021-03-20 20:48:12.000000,2.0.2,25.0,calamari_ocr,,,,,2.0,,https://pypi.org/project/calamari_ocr,2018-11-13 11:24:45.000000,2.0,1519.0,1519.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n631,nude.py,hhatto/nude.py,,image,https://github.com/hhatto/nude.py,https://github.com/hhatto/nude.py,MIT,2013-06-09 06:55:55.000000,2020-11-23 13:49:32.000000,2020-11-23 13:49:02.000000,131,6.0,2.0,794,79.0,Nudity detection with Python.,12.0,20,True,2020-11-23 13:49:17.000000,0.5.1,10.0,nudepy,,,,,170.0,152.0,https://pypi.org/project/nudepy,2020-11-23 13:49:17.000000,18.0,1560.0,1560.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n632,TF Recommenders,tensorflow/recommenders,,recommender-systems,https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01.000000,2021-03-26 11:42:43.000000,2021-03-26 11:42:37.000000,91,57.0,63.0,789,,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,20.0,20,True,2021-01-21 00:51:17.000000,0.4.0,8.0,tensorflow-recommenders,,,,['tensorflow'],18.0,18.0,https://pypi.org/project/tensorflow-recommenders,2021-01-21 00:51:17.000000,,17773.0,17773.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n633,AstroML,astroML/astroML,,others,https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50.000000,2021-04-07 06:12:17.000000,2021-04-07 06:12:17.000000,254,48.0,84.0,740,,\"Machine learning, statistics, and data mining for astronomy and astrophysics.\",30.0,20,True,2019-10-02 06:32:58.000000,0.4.1,10.0,astroML,conda-forge/astroml,,,['sklearn'],29.0,,https://pypi.org/project/astroML,2020-03-23 23:20:49.000000,29.0,1592.0,2111.0,https://anaconda.org/conda-forge/astroml,2020-02-16 04:18:54.678000,22837.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n634,YouTokenToMe,vkcom/youtokentome,,nlp,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28.000000,2021-01-28 23:05:01.000000,2021-01-28 19:04:09.000000,46,20.0,22.0,734,79.0,Unsupervised text tokenizer focused on computational efficiency.,6.0,20,True,2020-02-13 09:57:47.000000,1.0.6,14.0,youtokentome,,,,,118.0,106.0,https://pypi.org/project/youtokentome,2020-02-12 18:24:46.000000,12.0,15935.0,15935.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n635,NGT,yahoojapan/NGT,,nn-search,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000000,2021-04-14 00:29:39.000000,2021-04-14 00:27:17.000000,73,7.0,74.0,690,129.0,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,11.0,20,True,2021-03-12 02:52:55.000000,1.13.5,49.0,ngt,,,,,6.0,,https://pypi.org/project/ngt,2020-09-23 06:52:45.000000,6.0,10734.0,10734.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n636,mlens,flennerhag/mlens,,others,https://github.com/flennerhag/mlens,https://github.com/flennerhag/mlens,MIT,2017-01-10 20:53:47.000000,2020-02-25 14:32:48.000000,2020-02-25 14:31:53.000000,88,8.0,73.0,681,879.0,ML-Ensemble high performance ensemble learning.,7.0,20,False,2018-10-30 22:34:35.000000,0.2.3,14.0,mlens,,,,,122.0,119.0,https://pypi.org/project/mlens,2018-10-30 22:30:43.000000,3.0,1932.0,1932.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n637,NearPy,pixelogik/NearPy,,nn-search,https://github.com/pixelogik/NearPy,https://github.com/pixelogik/NearPy,MIT,2013-04-25 09:10:26.000000,2020-02-17 20:24:08.000000,2018-10-21 17:54:28.000000,136,23.0,38.0,672,159.0,\"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..\",18.0,20,False,2016-09-27 13:04:44.000000,1.0.0,8.0,NearPy,,,,,67.0,51.0,https://pypi.org/project/NearPy,2016-09-27 13:03:12.000000,16.0,2521.0,2521.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n638,Saliency,PAIR-code/saliency,,tensorflow-utils,https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35.000000,2021-04-14 13:01:39.000000,2021-04-08 22:21:21.000000,152,14.0,10.0,655,69.0,\"Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).\",13.0,20,True,2021-04-14 13:01:39.000000,0.1.2,9.0,saliency,,,,['tensorflow'],17.0,15.0,https://pypi.org/project/saliency,2021-04-14 13:01:39.000000,2.0,514.0,514.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n639,finetune,IndicoDataSolutions/finetune,,nlp,https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16.000000,2021-04-15 04:17:18.000000,2021-03-19 14:30:51.000000,68,20.0,115.0,636,1201.0,Scikit-learn style model finetuning for NLP.,19.0,20,True,2020-01-10 22:42:24.000000,0.8.6,37.0,finetune,,,,\"['tensorflow', 'sklearn']\",11.0,9.0,https://pypi.org/project/finetune,2020-01-10 22:42:24.000000,2.0,499.0,499.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n640,bambi,bambinos/bambi,,probabilistics,https://github.com/bambinos/bambi,https://github.com/bambinos/bambi,MIT,2016-05-16 03:21:00.000000,2021-04-15 12:29:53.000000,2021-04-12 15:35:04.000000,52,30.0,138.0,602,544.0,BAyesian Model-Building Interface (Bambi) in Python.,16.0,20,True,2021-04-06 13:34:03.000000,0.4.1,12.0,bambi,,,,,16.0,13.0,https://pypi.org/project/bambi,2021-04-06 13:34:03.000000,3.0,574.0,574.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n641,Objax,google/objax,,ml-frameworks,https://github.com/google/objax,https://github.com/google/objax,Apache-2.0,2020-08-20 06:20:40.000000,2021-04-07 20:18:34.000000,2021-04-01 00:09:28.000000,46,40.0,51.0,588,410.0,Objax is a machine learning framework that provides an Object Oriented layer for JAX.,20.0,20,True,2021-04-01 00:14:18.000000,1.4.0,7.0,objax,,,,['jax'],12.0,12.0,https://pypi.org/project/objax,2021-04-01 00:02:37.000000,0.0,457.0,457.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n642,baikal,alegonz/baikal,,others,https://github.com/alegonz/baikal,https://github.com/alegonz/baikal,BSD-3-Clause,2019-01-21 12:59:02.000000,2021-04-11 07:59:41.000000,2021-04-11 07:50:00.000000,29,6.0,13.0,573,405.0,A graph-based functional API for building complex scikit-learn pipelines.,2.0,20,True,2020-11-15 13:40:18.000000,0.4.2,7.0,baikal,conda-forge/cython-blis,,,,3.0,3.0,https://pypi.org/project/baikal,2020-11-15 13:40:18.000000,0.0,199.0,22500.0,https://anaconda.org/conda-forge/cython-blis,2021-01-31 09:13:47.685000,557539.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n643,lets-plot,JetBrains/lets-plot,,data-viz,https://github.com/JetBrains/lets-plot,https://github.com/JetBrains/lets-plot,MIT,2019-03-20 16:13:03.000000,2021-04-14 12:58:52.000000,2021-04-13 09:42:49.000000,17,65.0,90.0,533,1917.0,An open-source plotting library for statistical data.,15.0,20,True,2021-04-14 12:58:52.000000,2.0.2,32.0,lets-plot,,,,,7.0,7.0,https://pypi.org/project/lets-plot,2021-04-14 12:58:52.000000,,6442.0,6445.0,,,,,,,,3.0,51.0,,,,,,,,,,,,,,,,,,,,,\n644,Feature Engine,solegalli/feature_engine,,others,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2018-12-31 01:47:18.000000,2021-04-12 16:16:51.000000,2021-04-12 16:16:47.000000,139,26.0,80.0,492,109.0,Feature engineering package with sklearn like functionality.,21.0,20,True,2021-01-23 12:03:16.000000,1.0.2,25.0,feature_engine,conda-forge/feature_engine,,,,2.0,,https://pypi.org/project/feature_engine,2021-01-23 12:03:16.000000,2.0,23443.0,23754.0,https://anaconda.org/conda-forge/feature_engine,2021-01-25 12:36:37.909000,2490.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n645,What-If Tool,PAIR-code/what-if-tool,,interpretability,https://github.com/PAIR-code/what-if-tool,https://github.com/PAIR-code/what-if-tool,Apache-2.0,2018-09-07 20:26:10.000000,2021-03-31 09:17:26.000000,2021-03-17 12:46:20.000000,100,36.0,37.0,487,319.0,Source code/webpage/demos for the What-If Tool.,19.0,20,True,2021-01-19 14:40:37.214000,1.8.0,38.0,witwidget,,,,,0.0,,https://pypi.org/project/witwidget,2021-01-19 14:40:21.000000,0.0,9384.0,13117.0,,,,,,,,3.0,,,,wit-widget,https://www.npmjs.com/package/wit-widget,2021-01-19 14:40:37.214000,,3733.0,,,,,,,,,,,,,,\n646,pyhsmm,mattjj/pyhsmm,,probabilistics,https://github.com/mattjj/pyhsmm,https://github.com/mattjj/pyhsmm,MIT,2012-03-18 17:40:13.000000,2020-09-29 20:58:26.000000,2020-08-24 17:03:59.000000,151,34.0,60.0,486,1426.0,Bayesian inference in HSMMs and HMMs.,13.0,20,True,2017-05-10 17:14:37.000000,0.1.7,8.0,pyhsmm,,,,,26.0,18.0,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37.000000,8.0,271.0,271.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n647,scikit-lego,koaning/scikit-lego,,sklearn-utils,https://github.com/koaning/scikit-lego,https://github.com/koaning/scikit-lego,MIT,2019-01-21 15:30:15.000000,2021-04-07 07:04:33.000000,2021-04-07 07:04:33.000000,71,20.0,191.0,467,,Extra blocks for scikit-learn pipelines.,45.0,20,True,2021-03-16 21:20:30.000000,0.6.5,32.0,scikit-lego,conda-forge/scikit-lego,,,['sklearn'],21.0,21.0,https://pypi.org/project/scikit-lego,2021-04-02 07:44:02.000000,0.0,2951.0,3511.0,https://anaconda.org/conda-forge/scikit-lego,2020-11-02 09:40:04.581000,10096.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n648,HpBandSter,automl/HpBandSter,,hyperopt,https://github.com/automl/HpBandSter,https://github.com/automl/HpBandSter,BSD-3-Clause,2017-12-17 20:28:20.000000,2021-01-31 10:05:37.000000,2019-03-26 09:26:28.000000,98,57.0,35.0,461,187.0,a distributed Hyperband implementation on Steroids.,11.0,20,False,2019-07-30 12:47:43.000000,1.0,8.0,hpbandster,,,,,148.0,132.0,https://pypi.org/project/hpbandster,2018-11-06 12:56:55.000000,16.0,22812.0,22812.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n649,seglearn,dmbee/seglearn,,time-series-data,https://github.com/dmbee/seglearn,https://github.com/dmbee/seglearn,BSD-3-Clause,2018-03-05 20:53:59.000000,2021-03-13 16:18:30.000000,2021-03-12 17:12:50.000000,47,5.0,22.0,439,268.0,Python module for machine learning time series:.,13.0,20,True,2021-03-13 16:18:30.000000,1.2.3,22.0,seglearn,,,,,8.0,7.0,https://pypi.org/project/seglearn,2021-03-13 16:18:30.000000,1.0,2321.0,2321.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n650,PyWaffle,gyli/PyWaffle,,data-viz,https://github.com/gyli/PyWaffle,https://github.com/gyli/PyWaffle,MIT,2017-11-14 20:03:47.000000,2020-07-26 23:22:17.000000,2020-07-26 23:22:13.000000,65,2.0,10.0,413,249.0,Make Waffle Charts in Python.,6.0,20,True,2020-07-26 19:16:45.000000,0.6.1,22.0,pywaffle,,,,,46.0,46.0,https://pypi.org/project/pywaffle,2020-07-26 19:16:45.000000,,1690.0,1690.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n651,skope-rules,scikit-learn-contrib/skope-rules,,sklearn-utils,https://github.com/scikit-learn-contrib/skope-rules,https://github.com/scikit-learn-contrib/skope-rules,BSD-1-Clause,2018-02-18 13:42:47.000000,2020-12-11 14:42:41.000000,2020-10-23 14:31:57.000000,62,23.0,5.0,367,247.0,machine learning with logical rules in Python.,18.0,20,False,2020-12-11 09:37:02.000000,1.0.1,4.0,skope-rules,,,,['sklearn'],35.0,29.0,https://pypi.org/project/skope-rules,2020-01-25 12:01:37.000000,6.0,24748.0,24748.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n652,BioPandas,rasbt/biopandas,,others,https://github.com/rasbt/biopandas,https://github.com/rasbt/biopandas,BSD-3-Clause,2015-11-21 00:00:14.000000,2021-04-07 03:17:51.000000,2021-04-07 03:17:51.000000,78,15.0,21.0,334,,Working with molecular structures in pandas DataFrames.,7.0,20,True,2021-03-03 00:55:13.000000,0.2.8,12.0,biopandas,conda-forge/biopandas,,,['pandas'],59.0,53.0,https://pypi.org/project/biopandas,2021-03-03 00:55:13.000000,6.0,894.0,2279.0,https://anaconda.org/conda-forge/biopandas,2020-08-08 06:33:59.197000,72050.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n653,MedPy,loli/medpy,,medical-data,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34.000000,2020-05-01 15:25:39.000000,2020-05-01 15:25:38.000000,106,10.0,66.0,331,324.0,Medical image processing in Python.,13.0,20,False,2019-02-14 17:12:59.000000,0.4.0,6.0,MedPy,,,,,283.0,253.0,https://pypi.org/project/MedPy,2019-02-14 17:12:59.000000,30.0,7128.0,7128.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n654,DESlib,scikit-learn-contrib/DESlib,,sklearn-utils,https://github.com/scikit-learn-contrib/DESlib,https://github.com/scikit-learn-contrib/DESlib,BSD-3-Clause,2017-12-08 22:49:49.000000,2021-04-09 04:41:52.000000,2021-04-09 04:41:45.000000,73,14.0,127.0,324,272.0,A Python library for dynamic classifier and ensemble selection.,13.0,20,True,2021-02-08 06:29:25.000000,0.3.5,4.0,deslib,,,,['sklearn'],16.0,16.0,https://pypi.org/project/deslib,2021-02-08 06:29:25.000000,0.0,679.0,679.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n655,sklearn-evaluation,edublancas/sklearn-evaluation,,interpretability,https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2015-09-04 16:33:42.000000,2021-03-28 18:20:55.000000,2021-03-28 18:13:37.000000,27,9.0,28.0,298,516.0,\"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook..\",5.0,20,True,2021-03-28 18:21:46.000000,0.5.5,17.0,sklearn-evaluation,,,,['sklearn'],29.0,27.0,https://pypi.org/project/sklearn-evaluation,2021-03-28 18:20:55.000000,2.0,622.0,622.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n656,textpipe,textpipe/textpipe,,nlp,https://github.com/textpipe/textpipe,https://github.com/textpipe/textpipe,MIT,2018-06-21 16:23:32.000000,2021-03-29 09:42:04.000000,2021-01-25 14:01:56.000000,20,21.0,25.0,287,370.0,Textpipe: clean and extract metadata from text.,27.0,20,True,2021-01-25 14:05:21.000000,0.12.2,39.0,textpipe,,,,,8.0,7.0,https://pypi.org/project/textpipe,2021-01-25 14:05:21.000000,1.0,2581.0,2581.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n657,impyute,eltonlaw/impyute,,others,https://github.com/eltonlaw/impyute,https://github.com/eltonlaw/impyute,MIT,2017-01-21 09:16:27.000000,2020-06-12 21:08:40.000000,2019-10-05 20:39:08.000000,41,26.0,36.0,277,289.0,Data imputations library to preprocess datasets with missing data.,9.0,20,False,2019-04-29 02:31:32.000000,0.0.8,8.0,impyute,,,,,91.0,87.0,https://pypi.org/project/impyute,2019-04-29 02:31:32.000000,4.0,3761.0,3761.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n658,FiftyOne,voxel51/fiftyone,,data-viz,https://github.com/voxel51/fiftyone,https://github.com/voxel51/fiftyone,Apache-2.0,2020-04-22 13:43:28.000000,2021-04-15 14:49:16.000000,2021-04-14 22:39:27.000000,24,133.0,245.0,249,5467.0,\"Visualize, create, and debug image and video datasets and model predictions.\",11.0,20,True,2021-04-05 21:31:34.000000,0.8.0,47.0,fiftyone,,,,\"['tensorflow', 'pytorch', 'jupyter']\",,,https://pypi.org/project/fiftyone,2021-04-06 21:11:44.000000,,1683.0,1683.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n659,EarthPy,earthlab/earthpy,,geospatial-data,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000000,2021-04-13 16:23:37.000000,2021-04-06 22:04:33.000000,108,19.0,201.0,246,,A package built to support working with spatial data using open source python.,39.0,20,True,2020-06-18 23:58:08.000000,0.9.2,22.0,earthpy,conda-forge/earthpy,,,,92.0,86.0,https://pypi.org/project/earthpy,2020-06-18 23:58:08.000000,6.0,3351.0,4635.0,https://anaconda.org/conda-forge/earthpy,2020-06-19 15:23:44.425000,30826.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n660,Brainiak,brainiak/brainiak,,medical-data,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27.000000,2021-04-14 14:13:19.000000,2021-02-19 18:46:29.000000,113,64.0,120.0,240,390.0,Brain Imaging Analysis Kit.,32.0,20,True,2019-08-27 23:52:29.000000,0.9.1,15.0,brainiak,,brainiak/brainiak,,,13.0,12.0,https://pypi.org/project/brainiak,2020-10-15 20:45:08.000000,1.0,409.0,417.0,,,,https://hub.docker.com/r/brainiak/brainiak,2020-10-15 21:11:03.379549,1.0,522.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n661,ivis,beringresearch/ivis,,data-viz,https://github.com/beringresearch/ivis,https://github.com/beringresearch/ivis,Apache-2.0,2018-08-13 08:31:01.000000,2021-04-01 22:53:14.000000,2021-04-01 22:53:14.000000,22,4.0,42.0,226,523.0,Dimensionality reduction in very large datasets using Siamese Networks.,8.0,20,True,2021-01-06 17:09:59.000000,2.0.1,27.0,ivis,,,,['tensorflow'],15.0,15.0,https://pypi.org/project/ivis,2021-01-06 17:07:15.000000,0.0,1026.0,1026.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n662,gokart,m3dev/gokart,,ml-experiments,https://github.com/m3dev/gokart,https://github.com/m3dev/gokart,MIT,2018-12-23 07:40:27.000000,2021-04-14 23:56:33.000000,2021-03-16 04:05:36.000000,29,9.0,31.0,170,330.0,A wrapper of the data pipeline library luigi.,24.0,20,True,2021-03-16 04:12:00.000000,0.3.28,51.0,gokart,,,,,2.0,,https://pypi.org/project/gokart,2020-02-25 06:01:19.000000,2.0,1424.0,1424.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n663,Glow,projectglow/glow,,medical-data,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47.000000,2021-04-13 01:31:00.000000,2021-04-06 13:17:17.000000,44,25.0,57.0,167,317.0,An open-source toolkit for large-scale genomic analysis.,11.0,20,True,2021-02-09 17:45:43.000000,1.0.0,10.0,glow.py,,,,,,,https://pypi.org/project/glow.py,2021-02-08 22:11:48.000000,,19087.0,19087.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n664,graph-nets,deepmind/graph_nets,,graph,https://github.com/deepmind/graph_nets,https://github.com/deepmind/graph_nets,Apache-2.0,2018-08-31 08:19:28.000000,2020-12-04 17:43:48.000000,2020-12-04 17:43:47.000000,732,7.0,108.0,4845,47.0,Build Graph Nets in Tensorflow.,10.0,19,True,2020-01-29 16:00:25.000000,1.1.0,7.0,graph-nets,,,,['tensorflow'],7.0,,https://pypi.org/project/graph-nets,2020-01-29 16:00:25.000000,7.0,1204.0,1204.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n665,BytePS,bytedance/byteps,,distributed-ml,https://github.com/bytedance/byteps,https://github.com/bytedance/byteps,Apache-2.0,2019-06-25 07:00:13.000000,2021-04-14 04:53:35.000000,2021-04-14 03:55:50.000000,380,83.0,147.0,2774,416.0,A high performance and generic framework for distributed DNN training.,18.0,19,True,2020-08-27 15:42:13.000000,0.2.4,7.0,byteps,,bytepsimage/tensorflow,,,,,https://pypi.org/project/byteps,2020-11-04 00:05:46.000000,,244.0,292.0,,,,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,1063.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n666,StreamAlert,airbnb/streamalert,,others,https://github.com/airbnb/streamalert,https://github.com/airbnb/streamalert,Apache-2.0,2017-01-22 01:10:56.000000,2021-04-14 00:12:31.000000,2021-02-10 05:03:05.000000,290,90.0,247.0,2506,1893.0,\"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data..\",31.0,19,True,2020-10-05 21:50:56.000000,3.4.1,27.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n667,Apache Singa,apache/singa,,distributed-ml,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000000,2021-04-10 07:05:37.000000,2021-01-15 13:09:22.000000,607,40.0,35.0,2190,2265.0,a distributed deep learning platform.,70.0,19,True,2020-04-21 08:01:08.000000,3.0.0,14.0,,nusdbsystem/singa,apache/singa,,,1.0,1.0,,,,,7.0,https://anaconda.org/nusdbsystem/singa,2021-01-20 03:00:28.355000,266.0,https://hub.docker.com/r/apache/singa,2019-06-04 04:32:52.195956,2.0,165.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n668,cuML,rapidsai/cuml,,gpu-utilities,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000000,2021-04-15 13:38:53.000000,2021-04-14 04:24:19.000000,323,629.0,1073.0,2098,,cuML - RAPIDS Machine Learning Library.,124.0,19,True,2021-02-24 21:41:14.000000,0.18.0,8.0,cuml,,,,,0.0,,https://pypi.org/project/cuml,2020-06-01 20:09:10.000000,0.0,1049.0,1049.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n669,Kashgari,BrikerMan/Kashgari,,nlp,https://github.com/BrikerMan/Kashgari,https://github.com/BrikerMan/Kashgari,Apache-2.0,2019-01-19 01:53:28.000000,2021-03-21 02:20:20.000000,2021-03-21 02:20:20.000000,392,33.0,313.0,2081,,Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-..,19.0,19,True,2020-10-30 12:37:01.000000,2.0.1,23.0,kashgari-tf,,,,['tensorflow'],30.0,28.0,https://pypi.org/project/kashgari-tf,2019-10-18 07:57:55.000000,2.0,291.0,291.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n670,pdftabextract,WZBSocialScienceCenter/pdftabextract,,ocr,https://github.com/WZBSocialScienceCenter/pdftabextract,https://github.com/WZBSocialScienceCenter/pdftabextract,Apache-2.0,2016-07-08 11:44:46.000000,2020-12-28 00:52:23.000000,2018-10-26 13:57:02.000000,332,3.0,18.0,1910,168.0,A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.,2.0,19,False,2018-01-09 08:00:24.000000,0.3.0,5.0,pdftabextract,,,,,37.0,36.0,https://pypi.org/project/pdftabextract,2018-01-09 08:00:24.000000,1.0,430.0,430.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n671,Mara Pipelines,mara/mara-pipelines,,data-pipelines,https://github.com/mara/mara-pipelines,https://github.com/mara/mara-pipelines,MIT,2018-03-31 20:37:22.000000,2021-03-08 23:02:36.000000,2021-03-08 23:02:33.000000,80,11.0,12.0,1663,134.0,\"A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow.\",16.0,19,True,2021-01-23 22:34:03.000000,3.1.2,7.0,mara-pipelines,,,,,7.0,7.0,https://pypi.org/project/mara-pipelines,2021-01-23 22:34:03.000000,,169.0,169.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n672,checklist,marcotcr/checklist,,interpretability,https://github.com/marcotcr/checklist,https://github.com/marcotcr/checklist,MIT,2020-03-09 17:18:49.000000,2021-04-14 21:50:49.000000,2021-03-30 06:59:43.000000,114,4.0,64.0,1322,224.0,Beyond Accuracy: Behavioral Testing of NLP models with CheckList.,10.0,19,True,2020-09-21 18:30:40.000000,0.0.10,9.0,checklist,,,,['jupyter'],8.0,6.0,https://pypi.org/project/checklist,2020-09-21 18:30:40.000000,2.0,1026.0,1026.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n673,TensorNets,taehoonlee/tensornets,,tensorflow-utils,https://github.com/taehoonlee/tensornets,https://github.com/taehoonlee/tensornets,MIT,2017-09-19 05:19:01.000000,2021-01-02 06:28:10.000000,2021-01-02 06:26:24.000000,188,14.0,42.0,985,284.0,High level network definitions with pre-trained weights in TensorFlow.,6.0,19,True,2020-03-31 04:38:27.000000,0.4.6,12.0,tensornets,,,,['tensorflow'],37.0,33.0,https://pypi.org/project/tensornets,2020-03-31 04:35:15.000000,4.0,241.0,241.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n674,Paddle Graph Learning,PaddlePaddle/PGL,,graph,https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28.000000,2021-04-15 04:20:57.000000,2021-04-15 02:28:16.000000,138,19.0,36.0,977,,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,16.0,19,True,2021-03-12 05:46:43.000000,2.1.1,9.0,pgl,,,,['paddle'],13.0,11.0,https://pypi.org/project/pgl,2021-03-12 05:52:49.000000,2.0,1303.0,1303.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n675,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,,pytorch-utils,https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000000,2021-04-02 10:59:33.000000,2021-04-02 10:36:09.000000,75,2.0,16.0,977,675.0,PyTorch extensions for fast R&D prototyping and Kaggle farming.,5.0,19,True,2021-04-02 10:59:33.000000,0.4.3,21.0,pytorch_toolbelt,,,,['pytorch'],2.0,,https://pypi.org/project/pytorch_toolbelt,2021-04-02 10:59:33.000000,2.0,7776.0,7776.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n676,Skater,oracle/Skater,,interpretability,https://github.com/oracle/Skater,https://github.com/oracle/Skater,UPL-1.0,2017-01-26 05:45:42.000000,2020-11-01 15:57:12.273000,2020-06-29 20:07:12.000000,163,69.0,97.0,973,1101.0,Python Library for Model Interpretation/Explanations.,34.0,19,False,2018-09-21 07:03:32.000000,1.1.2,23.0,skater,conda-forge/skater,,,,,,https://pypi.org/project/skater,2018-09-21 07:03:32.000000,,4984.0,5790.0,https://anaconda.org/conda-forge/skater,2020-11-01 15:57:12.273000,37077.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n677,Fiber,uber/fiber,,distributed-ml,https://github.com/uber/fiber,https://github.com/uber/fiber,Apache-2.0,2020-01-07 18:16:24.000000,2021-03-24 19:18:22.000000,2021-03-15 07:00:08.000000,93,13.0,8.0,877,66.0,Distributed Computing for AI Made Simple.,5.0,19,True,2020-07-09 03:28:28.000000,0.2.1,6.0,fiber,,,,,26.0,25.0,https://pypi.org/project/fiber,2020-07-09 03:28:28.000000,1.0,1993.0,1993.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n678,advertorch,BorealisAI/advertorch,,adversarial,https://github.com/BorealisAI/advertorch,https://github.com/BorealisAI/advertorch,GPL-3.0,2018-11-29 22:17:33.000000,2021-02-26 11:22:02.000000,2020-06-15 01:16:18.000000,133,15.0,28.0,842,270.0,A Toolbox for Adversarial Robustness Research.,16.0,19,False,2020-06-15 01:20:07.000000,0.2.3,10.0,advertorch,,,,['pytorch'],42.0,36.0,https://pypi.org/project/advertorch,2020-06-15 01:20:07.000000,6.0,2129.0,2129.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n679,TensorFrames,databricks/tensorframes,,distributed-ml,https://github.com/databricks/tensorframes,https://github.com/databricks/tensorframes,Apache-2.0,2016-03-04 19:25:19.000000,2020-11-13 17:47:02.000000,2019-11-15 21:43:53.000000,157,51.0,43.0,768,221.0,[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark.,16.0,19,False,2018-11-16 20:50:02.000000,0.6.0,6.0,tensorframes,,,,\"['tensorflow', 'spark']\",1.0,,https://pypi.org/project/tensorframes,2018-05-16 14:20:28.000000,1.0,10659.0,10659.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n680,tffm,geffy/tffm,,tensorflow-utils,https://github.com/geffy/tffm,https://github.com/geffy/tffm,MIT,2016-05-02 17:06:07.000000,2020-05-22 21:40:58.000000,2020-05-22 21:40:57.000000,174,17.0,20.0,764,106.0,TensorFlow implementation of an arbitrary order Factorization Machine.,10.0,19,True,2018-01-27 11:43:26.000000,1.0.1,2.0,tffm,,,,['tensorflow'],12.0,11.0,https://pypi.org/project/tffm,2018-01-27 11:43:26.000000,1.0,2280.0,2280.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n681,Test Tube,williamFalcon/test-tube,,hyperopt,https://github.com/williamFalcon/test-tube,https://github.com/williamFalcon/test-tube,MIT,2017-09-06 02:14:57.000000,2021-01-17 20:04:39.000000,2020-03-17 22:44:47.000000,61,25.0,21.0,676,642.0,Python library to easily log experiments and parallelize hyperparameter search for neural networks.,16.0,19,False,2019-12-01 01:19:36.000000,0.7.5,53.0,test_tube,,,,,5.0,,https://pypi.org/project/test_tube,2018-12-12 22:45:59.000000,5.0,16398.0,16398.0,,,,,,,,3.0,8.0,,,,,,,,,,,,,,,,,,,,,\n682,Hivemind,learning-at-home/hivemind,,distributed-ml,https://github.com/learning-at-home/hivemind,https://github.com/learning-at-home/hivemind,MIT,2020-02-27 13:50:19.000000,2021-04-15 13:44:48.000000,2021-04-14 15:16:56.000000,41,35.0,31.0,676,330.0,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,15.0,19,True,2021-04-02 18:12:33.000000,0.9.6,8.0,hivemind,,,,,3.0,2.0,https://pypi.org/project/hivemind,2021-04-05 13:20:34.000000,1.0,238.0,238.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n683,matrixprofile-ts,target/matrixprofile-ts,,time-series-data,https://github.com/target/matrixprofile-ts,https://github.com/target/matrixprofile-ts,Apache-2.0,2018-09-10 19:03:34.000000,2020-04-25 18:38:20.000000,2020-04-25 18:37:42.000000,92,19.0,34.0,628,198.0,A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile.,15.0,19,True,2019-08-08 01:24:38.000000,0.0.9,9.0,matrixprofile-ts,,,,,15.0,15.0,https://pypi.org/project/matrixprofile-ts,2019-08-08 01:24:38.000000,,3047.0,3047.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n684,vecstack,vecxoz/vecstack,,others,https://github.com/vecxoz/vecstack,https://github.com/vecxoz/vecstack,MIT,2016-11-08 13:23:21.000000,2020-09-14 08:31:07.000000,2019-10-30 09:27:48.000000,66,,36.0,590,189.0,Python package for stacking (machine learning technique).,1.0,19,False,2019-08-12 16:09:01.000000,0.4.0,6.0,vecstack,,,,,128.0,120.0,https://pypi.org/project/vecstack,2019-08-12 16:01:22.000000,8.0,2517.0,2517.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n685,Performer Pytorch,lucidrains/performer-pytorch,,pytorch-utils,https://github.com/lucidrains/performer-pytorch,https://github.com/lucidrains/performer-pytorch,MIT,2020-10-03 03:41:36.000000,2021-04-15 04:03:36.000000,2021-04-15 04:02:51.000000,72,20.0,36.0,572,,\"An implementation of Performer, a linear attention-based transformer, in Pytorch.\",4.0,19,True,2021-04-15 04:03:36.000000,1.0.6,70.0,performer-pytorch,,,,['pytorch'],14.0,14.0,https://pypi.org/project/performer-pytorch,2021-04-15 04:03:36.000000,0.0,3175.0,3175.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n686,PFRL,pfnet/pfrl,,reinforcement-learning,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50.000000,2021-04-14 04:37:14.000000,2021-04-14 04:37:13.000000,67,22.0,25.0,564,352.0,PFRL: a PyTorch-based deep reinforcement learning library.,12.0,19,True,2020-12-17 05:00:25.000000,0.2.1,4.0,pfrl,,,,,7.0,7.0,https://pypi.org/project/pfrl,2020-12-17 05:00:25.000000,,910.0,910.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n687,iterative-stratification,trent-b/iterative-stratification,,sklearn-utils,https://github.com/trent-b/iterative-stratification,https://github.com/trent-b/iterative-stratification,BSD-3-Clause,2018-02-04 00:32:10.000000,2020-09-12 15:32:44.000000,2020-09-12 15:35:02.000000,49,2.0,11.0,550,47.0,scikit-learn cross validators for iterative stratification of multilabel data.,4.0,19,True,2018-08-12 18:28:50.000000,0.1.6,5.0,iterative-stratification,,,,['sklearn'],136.0,122.0,https://pypi.org/project/iterative-stratification,2018-08-12 18:28:50.000000,14.0,7425.0,7425.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n688,robustness,MadryLab/robustness,,adversarial,https://github.com/MadryLab/robustness,https://github.com/MadryLab/robustness,MIT,2019-08-21 09:26:33.000000,2021-03-30 19:20:40.000000,2021-03-04 15:19:19.000000,94,6.0,51.0,522,139.0,\"A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.\",12.0,19,True,2020-12-01 06:11:12.000000,1.2.1.post2,10.0,robustness,,,,,47.0,45.0,https://pypi.org/project/robustness,2020-12-01 06:21:33.000000,2.0,494.0,494.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n689,deeplift,kundajelab/deeplift,,interpretability,https://github.com/kundajelab/deeplift,https://github.com/kundajelab/deeplift,MIT,2016-06-01 02:18:06.000000,2020-11-11 19:56:24.000000,2020-11-11 19:56:23.000000,125,29.0,47.0,517,551.0,Public facing deeplift repo.,11.0,19,True,2018-07-13 21:11:52.000000,0.6.6,21.0,deeplift,,,,,48.0,44.0,https://pypi.org/project/deeplift,2020-11-11 09:32:57.000000,4.0,876.0,876.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n690,N2,kakao/n2,,nn-search,https://github.com/kakao/n2,https://github.com/kakao/n2,Apache-2.0,2017-11-23 02:27:59.000000,2020-10-21 05:15:27.000000,2020-10-21 05:14:11.000000,52,17.0,22.0,460,242.0,TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets.,17.0,19,True,2020-10-16 03:43:47.000000,0.1.7,9.0,n2,,,,,18.0,14.0,https://pypi.org/project/n2,2020-10-16 03:10:01.000000,4.0,1900.0,1900.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n691,tcav,tensorflow/tcav,,interpretability,https://github.com/tensorflow/tcav,https://github.com/tensorflow/tcav,Apache-2.0,2018-07-03 17:45:35.000000,2021-03-23 17:16:42.000000,2021-03-23 17:16:22.000000,103,3.0,45.0,447,160.0,Code for the TCAV ML interpretability project.,18.0,19,True,2021-02-23 16:17:42.000000,0.2.2,4.0,tcav,,,,['tensorflow'],8.0,6.0,https://pypi.org/project/tcav,2021-02-23 16:17:42.000000,2.0,152.0,152.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n692,pivottablejs,nicolaskruchten/jupyter_pivottablejs,,data-viz,https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,MIT,2015-09-09 13:39:18.000000,2018-12-04 14:43:26.000000,2018-12-04 14:43:25.000000,58,16.0,37.0,431,32.0,\"Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js.\",3.0,19,False,2018-01-15 18:14:37.000000,0.9.0,10.0,pivottablejs,,,,['jupyter'],187.0,153.0,https://pypi.org/project/pivottablejs,2018-01-15 18:14:37.000000,34.0,7464.0,7464.0,,,,,,,,3.0,,-1.0,,,,,,,,,,,,,,,,,,,,\n693,Orbit,uber/orbit,,probabilistics,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000000,2021-04-15 04:45:10.000000,2021-04-15 04:45:06.000000,28,19.0,180.0,382,619.0,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,10.0,19,True,2021-04-03 01:15:52.000000,1.0.13,12.0,orbit-ml,,,,,4.0,4.0,https://pypi.org/project/orbit-ml,2021-04-03 01:15:52.000000,,336.0,336.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n694,PyKEEN,pykeen/pykeen,,graph,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000000,2021-04-15 13:37:22.000000,2021-04-15 10:19:35.000000,61,67.0,99.0,375,2333.0,A Python library for learning and evaluating knowledge graph embeddings.,18.0,19,True,2021-03-04 16:07:36.000000,1.4.0,35.0,pykeen,,,,,2.0,,https://pypi.org/project/pykeen,2021-02-15 14:13:30.000000,2.0,746.0,753.0,,,,,,,,3.0,79.0,,,,,,,,,,,,,,,,,,,,,\n695,animatplot,t-makaro/animatplot,,data-viz,https://github.com/t-makaro/animatplot,https://github.com/t-makaro/animatplot,MIT,2017-04-03 00:54:04.000000,2021-04-07 10:46:25.000000,2020-10-05 06:14:18.000000,32,17.0,16.0,363,178.0,A python package for animating plots build on matplotlib.,7.0,19,True,2020-10-05 06:20:52.000000,0.4.2,10.0,animatplot,conda-forge/animatplot,,,,16.0,14.0,https://pypi.org/project/animatplot,2020-10-05 06:20:52.000000,2.0,634.0,850.0,https://anaconda.org/conda-forge/animatplot,2020-10-06 02:02:00.460000,5621.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n696,MXBoard,awslabs/mxboard,,ml-experiments,https://github.com/awslabs/mxboard,https://github.com/awslabs/mxboard,Apache-2.0,2018-02-06 23:03:51.000000,2020-01-24 23:21:56.000000,2020-01-24 23:21:55.000000,46,16.0,15.0,331,42.0,Logging MXNet data for visualization in TensorBoard.,9.0,19,False,2018-05-22 20:25:51.000000,0.1.0,12.0,mxboard,,,,['mxnet'],112.0,100.0,https://pypi.org/project/mxboard,2018-05-22 20:25:51.000000,12.0,3206.0,3206.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n697,Camphr,PKSHATechnology-Research/camphr,,nlp,https://github.com/PKSHATechnology-Research/camphr,https://github.com/PKSHATechnology-Research/camphr,Apache-2.0,2020-02-10 03:39:58.000000,2021-04-15 08:55:17.000000,2021-04-02 10:18:07.000000,17,12.0,21.0,327,1235.0,\"spaCy plugin for Transformers , Udify, ELmo, etc.\",7.0,19,True,2021-03-05 10:59:35.000000,0.8.8,45.0,camphr,,,,['spacy'],0.0,,https://pypi.org/project/camphr,2021-03-05 10:59:35.000000,0.0,1763.0,1763.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n698,AutoViz,AutoViML/AutoViz,,data-viz,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06.000000,2020-12-21 03:22:01.000000,2020-12-21 03:21:52.000000,56,3.0,20.0,324,97.0,\"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..\",10.0,19,True,2020-12-10 02:33:19.000000,0.0.81,26.0,autoviz,,,,,34.0,34.0,https://pypi.org/project/autoviz,2020-12-10 02:33:19.000000,,3060.0,3060.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n699,apricot,jmschrei/apricot,,others,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12.000000,2021-02-18 03:37:56.000000,2021-02-18 03:37:55.000000,29,3.0,14.0,311,167.0,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,2.0,19,True,2020-09-28 07:19:15.000000,0.6.0,13.0,apricot-select,,,,,14.0,14.0,https://pypi.org/project/apricot-select,2020-09-28 07:19:15.000000,0.0,1174.0,1174.0,,,,,,,,3.0,8.0,,,,,,,,,,,,,,,,,,,,,\n700,rrcf,kLabUM/rrcf,,others,https://github.com/kLabUM/rrcf,https://github.com/kLabUM/rrcf,MIT,2018-10-20 05:39:05.000000,2021-01-13 23:05:23.000000,2020-06-10 01:07:39.000000,73,18.0,17.0,300,253.0,Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams.,4.0,19,True,2020-06-10 01:53:55.000000,0.4.3,7.0,rrcf,,,,,19.0,19.0,https://pypi.org/project/rrcf,2020-06-10 01:53:55.000000,0.0,3918.0,3918.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n701,pandas-ml,pandas-ml/pandas-ml,,others,https://github.com/pandas-ml/pandas-ml,https://github.com/pandas-ml/pandas-ml,BSD-3-Clause,2015-02-21 03:14:04.000000,2020-08-14 12:29:33.000000,2019-03-05 01:36:55.000000,58,24.0,17.0,272,153.0,\"pandas, scikit-learn, xgboost and seaborn integration.\",4.0,19,False,2019-03-05 01:36:12.000000,0.6.1,9.0,pandas-ml,,,,\"['sklearn', 'pandas']\",10.0,,https://pypi.org/project/pandas-ml,2019-03-05 01:35:23.000000,10.0,6091.0,6091.0,,,,,,,,3.0,5.0,,,,,,,,,,,,,,,,,,,,,\n702,sk-dist,Ibotta/sk-dist,,distributed-ml,https://github.com/Ibotta/sk-dist,https://github.com/Ibotta/sk-dist,Apache-2.0,2019-08-14 21:07:17.000000,2021-03-01 23:05:15.000000,2021-03-01 23:05:11.000000,44,7.0,9.0,261,47.0,Distributed scikit-learn meta-estimators in PySpark.,6.0,19,True,2020-05-14 22:20:14.000000,0.1.9,12.0,sk-dist,,,,\"['sklearn', 'spark']\",8.0,6.0,https://pypi.org/project/sk-dist,2020-05-14 22:20:14.000000,2.0,10430.0,10430.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n703,pyfasttext,vrasneur/pyfasttext,,nlp,https://github.com/vrasneur/pyfasttext,https://github.com/vrasneur/pyfasttext,GPL-3.0,2017-06-30 18:44:42.000000,2018-12-08 15:32:09.000000,2018-12-08 15:02:12.000000,30,21.0,28.0,229,153.0,Yet another Python binding for fastText.,4.0,19,False,2018-12-08 15:32:09.000000,0.4.6,13.0,pyfasttext,,,,,161.0,148.0,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09.000000,13.0,4099.0,4106.0,,,,,,,,3.0,323.0,,,,,,,,,,,,,,,,,,,,,\n704,fairness-indicators,tensorflow/fairness-indicators,,interpretability,https://github.com/tensorflow/fairness-indicators,https://github.com/tensorflow/fairness-indicators,Apache-2.0,2019-09-30 22:56:45.000000,2021-04-12 16:29:05.000000,2021-04-09 17:48:57.000000,54,13.0,6.0,192,252.0,Tensorflow's Fairness Evaluation and Visualization Toolkit.,20.0,19,True,2021-04-08 23:26:49.000000,0.29.0,15.0,fairness-indicators,,,,\"['tensorflow', 'jupyter']\",,,https://pypi.org/project/fairness-indicators,2021-04-08 23:26:49.000000,,1236.0,1236.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n705,pymap3d,geospace-code/pymap3d,,geospatial-data,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03.000000,2021-04-13 11:02:07.764000,2021-04-13 05:26:01.000000,60,2.0,24.0,183,,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,10.0,19,True,2021-04-13 05:29:45.000000,2.6.1,48.0,pymap3d,conda-forge/pymap3d,,,,6.0,,https://pypi.org/project/pymap3d,2021-03-21 04:53:39.000000,6.0,39158.0,39796.0,https://anaconda.org/conda-forge/pymap3d,2021-04-13 11:02:07.764000,8299.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n706,Funsor,pyro-ppl/funsor,,probabilistics,https://github.com/pyro-ppl/funsor,https://github.com/pyro-ppl/funsor,Apache-2.0,2019-01-30 23:13:39.000000,2021-04-14 22:42:34.000000,2021-04-13 06:19:36.000000,15,70.0,67.0,170,531.0,Functional tensors for probabilistic programming.,9.0,19,True,2021-01-24 17:27:54.000000,0.4.0,6.0,funsor,,,,['pytorch'],12.0,12.0,https://pypi.org/project/funsor,2021-01-24 17:26:50.000000,0.0,659.0,659.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n707,BatchFlow,analysiscenter/batchflow,,data-pipelines,https://github.com/analysiscenter/batchflow,https://github.com/analysiscenter/batchflow,Apache-2.0,2017-03-13 14:22:53.000000,2021-04-15 15:07:19.000000,2021-03-25 10:31:44.000000,36,46.0,57.0,157,4459.0,BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and..,29.0,19,True,2021-03-05 13:23:43.000000,0.5.0beta3,6.0,batchflow,,,,,,,https://pypi.org/project/batchflow,2021-03-05 13:45:58.000000,,181.0,181.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n708,flupy,olirice/flupy,,data-pipelines,https://github.com/olirice/flupy,https://github.com/olirice/flupy,MIT,2018-01-06 16:46:04.000000,2021-03-09 13:15:35.000000,2021-03-09 13:15:26.000000,9,,7.0,155,177.0,Fluent data pipelines for python and your shell.,4.0,19,True,2021-01-06 12:37:15.000000,1.1.6,34.0,flupy,,,,,0.0,,https://pypi.org/project/flupy,2021-01-06 12:37:15.000000,0.0,12271.0,12271.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n709,nvidia-ml-py3,nicolargo/nvidia-ml-py3,,gpu-utilities,https://github.com/nicolargo/nvidia-ml-py3,https://github.com/nicolargo/nvidia-ml-py3,BSD-3-Clause,2017-06-03 07:47:03.000000,2019-03-06 20:41:10.000000,2019-03-06 20:41:09.000000,14,2.0,,67,5.0,Python 3 Bindings for the NVIDIA Management Library.,2.0,19,False,2017-06-03 07:43:46.000000,7.352.0,1.0,nvidia-ml-py3,,,,,3233.0,3013.0,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46.000000,220.0,672432.0,672432.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n710,Crypto Signals,CryptoSignal/crypto-signal,,financial-data,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24.000000,2021-04-02 19:11:17.000000,2020-09-03 12:26:48.000000,768,41.0,192.0,2870,563.0,\"Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 2,100 + stars, 580 + forks.\",25.0,18,True,,,,,,shadowreaver/crypto-signal,,,,,,,,,1017.0,,,,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133,8.0,43749.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n711,LIT,PAIR-code/lit,,interpretability,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000000,2021-04-15 14:12:03.000000,2021-04-05 17:58:30.000000,247,48.0,42.0,2489,,The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and..,14.0,18,True,2021-04-05 19:14:45.000000,0.3,5.0,lit-nlp,,,,,3.0,3.0,https://pypi.org/project/lit-nlp,2021-04-05 19:12:37.000000,,582.0,582.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n712,riko,nerevu/riko,,data-pipelines,https://github.com/nerevu/riko,https://github.com/nerevu/riko,MIT,2016-06-02 12:22:51.000000,2020-08-14 18:29:28.000000,2020-08-14 16:47:45.000000,72,22.0,8.0,1563,1257.0,A Python stream processing engine modeled after Yahoo! Pipes.,18.0,18,True,2020-08-14 18:29:28.000000,0.66.0,58.0,riko,,,,,1.0,,https://pypi.org/project/riko,2020-08-14 18:29:28.000000,1.0,502.0,502.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n713,NeuroNER,Franck-Dernoncourt/NeuroNER,,nlp,https://github.com/Franck-Dernoncourt/NeuroNER,https://github.com/Franck-Dernoncourt/NeuroNER,MIT,2017-03-07 01:24:15.000000,2020-11-13 18:07:48.000000,2019-10-02 23:26:11.000000,440,80.0,67.0,1547,132.0,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,7.0,18,False,2019-10-02 23:30:15.000000,1.0.8,7.0,pyneuroner,,,,,9.0,9.0,https://pypi.org/project/pyneuroner,2019-10-02 23:30:15.000000,,192.0,192.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n714,Lambda Networks,lucidrains/lambda-networks,,pytorch-utils,https://github.com/lucidrains/lambda-networks,https://github.com/lucidrains/lambda-networks,MIT,2020-10-08 19:01:15.000000,2020-11-18 19:54:34.000000,2020-11-18 19:54:30.000000,152,12.0,15.0,1437,,\"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.\",3.0,18,True,2020-11-18 08:19:23.000000,0.4.0,11.0,lambda-networks,,,,['pytorch'],2.0,2.0,https://pypi.org/project/lambda-networks,2020-11-18 08:19:23.000000,,1667.0,1667.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n715,Antialiased CNNs,adobe/antialiased-cnns,,pytorch-utils,https://github.com/adobe/antialiased-cnns,https://github.com/adobe/antialiased-cnns,CC BY-NC-SA 4.0,2019-05-14 20:51:25.000000,2021-03-01 18:01:57.000000,2020-10-22 19:40:07.000000,176,9.0,31.0,1366,238.0,pip install antialiased-cnns to improve stability and accuracy.,6.0,18,False,2020-10-23 22:45:52.000000,0.3,6.0,antialiased-cnns,,,,['pytorch'],,,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49.000000,,2093.0,2093.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n716,doc2text,jlsutherland/doc2text,,ocr,https://github.com/jlsutherland/doc2text,https://github.com/jlsutherland/doc2text,MIT,2016-08-28 19:30:02.000000,2020-12-01 22:56:27.000000,2020-12-01 22:56:26.000000,93,12.0,9.0,1233,62.0,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,5.0,18,True,2016-09-06 21:59:21.000000,0.2.4,5.0,doc2text,,,,,35.0,35.0,https://pypi.org/project/doc2text,2016-09-06 21:59:21.000000,,541.0,541.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n717,Backtesting.py,kernc/backtesting.py,,financial-data,https://github.com/kernc/backtesting.py,https://github.com/kernc/backtesting.py,AGPL-3.0,2019-01-02 03:11:32.000000,2021-04-05 00:31:07.000000,2021-04-05 00:31:07.000000,280,23.0,187.0,1222,228.0,Backtest trading strategies in Python.,11.0,18,False,2017-07-22 02:00:06.000000,0.0.1,1.0,backtesting,,,,,,,https://pypi.org/project/backtesting,2017-07-22 02:00:06.000000,,5975.0,5975.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n718,Norfair,tryolabs/norfair,,image,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000000,2021-04-08 03:05:28.000000,2021-03-16 21:10:22.000000,64,5.0,17.0,965,264.0,Lightweight Python library for adding real-time 2D object tracking to any detector.,8.0,18,True,2021-02-17 21:29:11.000000,0.2.0,10.0,norfair,,,,,,,https://pypi.org/project/norfair,2021-02-17 21:29:11.000000,,834.0,834.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n719,Bounter,RaRe-Technologies/bounter,,data-containers,https://github.com/RaRe-Technologies/bounter,https://github.com/RaRe-Technologies/bounter,MIT,2017-07-18 07:24:15.000000,2020-08-17 06:37:51.000000,2020-08-16 11:55:16.000000,48,11.0,9.0,895,152.0,Efficient Counter that uses a limited (bounded) amount of memory regardless of data size.,8.0,18,True,2020-08-17 06:37:51.000000,1.1.1,7.0,bounter,,,,,36.0,22.0,https://pypi.org/project/bounter,2020-08-17 06:37:51.000000,14.0,319.0,319.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n720,pytorch2keras,nerox8664/pytorch2keras,,model-serialisation,https://github.com/nerox8664/pytorch2keras,https://github.com/nerox8664/pytorch2keras,MIT,2017-11-16 20:21:43.000000,2020-05-14 10:03:56.000000,2020-05-14 10:03:04.000000,111,44.0,66.0,687,277.0,PyTorch to Keras model convertor.,11.0,18,True,2020-05-14 10:03:56.000000,0.2.4,23.0,pytorch2keras,,,,,21.0,20.0,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56.000000,1.0,934.0,934.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n721,RLax,deepmind/rlax,,reinforcement-learning,https://github.com/deepmind/rlax,https://github.com/deepmind/rlax,Apache-2.0,2020-02-18 07:14:59.000000,2021-04-13 14:59:15.000000,2021-04-13 14:58:46.000000,45,3.0,4.0,582,109.0,A library of reinforcement learning building blocks in JAX.,11.0,18,True,2020-02-19 23:01:30.000000,0.1.0,3.0,rlax,,,,['jax'],15.0,15.0,https://pypi.org/project/rlax,2020-02-19 23:01:30.000000,,346.0,346.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n722,Dragonfly,dragonfly/dragonfly,,hyperopt,https://github.com/dragonfly/dragonfly,https://github.com/dragonfly/dragonfly,MIT,2018-04-20 22:19:50.000000,2020-07-26 17:44:31.000000,2020-07-03 18:01:17.000000,75,24.0,17.0,573,397.0,An open source python library for scalable Bayesian optimisation.,12.0,18,True,2020-07-03 18:05:12.000000,0.1.6,9.0,dragonfly-opt,,,,,2.0,,https://pypi.org/project/dragonfly-opt,2020-07-03 18:05:12.000000,2.0,22457.0,22457.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n723,pytorch_geometric_temporal,benedekrozemberczki/pytorch_geometric_temporal,,graph,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,MIT,2020-06-27 01:11:33.000000,2021-04-11 20:15:16.000000,2021-04-11 20:14:48.000000,67,2.0,22.0,532,1395.0,A Temporal Extension Library for PyTorch Geometric.,8.0,18,True,2021-04-08 21:48:11.000000,_00027,25.0,torch-geometric-temporal,,,,['pytorch'],,,https://pypi.org/project/torch-geometric-temporal,2021-04-08 21:45:42.000000,,667.0,667.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n724,SKLL,EducationalTestingService/skll,,ml-experiments,https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,BSD-1-Clause,2013-08-02 14:31:46.000000,2021-04-13 00:50:57.000000,2021-04-13 00:50:54.000000,64,36.0,348.0,525,,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,35.0,18,False,2021-02-26 03:01:01.000000,2.5,64.0,skll,,,,['sklearn'],47.0,30.0,https://pypi.org/project/skll,2020-03-13 16:23:35.000000,17.0,781.0,781.0,,,,,,,,3.0,10.0,,,,,,,,,,,,,,,,,,,,,\n725,DiCE,interpretml/DiCE,,interpretability,https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000000,2021-04-14 23:26:09.000000,2021-04-06 03:41:48.000000,71,14.0,22.0,519,362.0,Generate Diverse Counterfactual Explanations for any machine learning model.,10.0,18,True,2021-03-01 15:26:58.000000,0.5,3.0,dice-ml,,,,\"['tensorflow', 'pytorch']\",,,https://pypi.org/project/dice-ml,2021-03-01 15:44:45.000000,,1276.0,1276.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n726,TF Compression,tensorflow/compression,,tensorflow-utils,https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19.000000,2021-04-13 21:40:09.000000,2021-04-13 21:19:52.000000,165,,62.0,460,169.0,Data compression in TensorFlow.,10.0,18,True,2021-03-11 09:05:35.000000,2.1,10.0,tensorflow-compression,,,,['tensorflow'],1.0,,https://pypi.org/project/tensorflow-compression,2021-03-11 09:00:48.000000,1.0,1033.0,1033.0,,,,,,,,3.0,,-1.0,,,,,,,,,,,,,,,,,,,,\n727,Vulkan Kompute,EthicalML/vulkan-kompute,,gpu-utilities,https://github.com/EthicalML/vulkan-kompute,https://github.com/EthicalML/vulkan-kompute,Apache-2.0,2020-07-29 05:23:33.000000,2021-04-12 16:12:05.000000,2021-04-12 16:12:05.000000,31,46.0,93.0,368,833.0,\"General purpose GPU compute framework for cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast,..\",11.0,18,True,2021-03-14 16:03:43.000000,0.7.0,11.0,kp,,,,,2.0,2.0,https://pypi.org/project/kp,2021-03-14 15:37:22.000000,,270.0,276.0,,,,,,,,3.0,50.0,,,,,,,,,,,,,,,,,,,,,\n728,Baal,ElementAI/baal,,probabilistics,https://github.com/ElementAI/baal,https://github.com/ElementAI/baal,Apache-2.0,2019-09-30 20:16:26.000000,2021-03-25 13:21:19.000000,2021-03-25 13:21:18.000000,30,6.0,30.0,336,105.0,Using approximate bayesian posteriors in deep nets for active learning.,8.0,18,True,2021-03-16 13:48:22.000000,1.3.0,8.0,baal,,,,,7.0,7.0,https://pypi.org/project/baal,2021-03-16 13:38:39.000000,,463.0,463.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n729,tick,X-DataInitiative/tick,,time-series-data,https://github.com/X-DataInitiative/tick,https://github.com/X-DataInitiative/tick,BSD-3-Clause,2016-12-01 10:59:08.000000,2020-08-11 12:36:43.000000,2020-06-15 12:01:36.000000,74,55.0,160.0,328,413.0,\"Module for statistical learning, with a particular emphasis on time-dependent modelling.\",16.0,18,True,2019-09-11 11:25:15.000000,0.6,23.0,tick,,,,,31.0,30.0,https://pypi.org/project/tick,2020-05-24 22:01:17.000000,1.0,1587.0,1590.0,,,,,,,,3.0,158.0,,,,,,,,,,,,,,,,,,,,,\n730,Sherpa,sherpa-ai/sherpa,,hyperopt,https://github.com/sherpa-ai/sherpa,https://github.com/sherpa-ai/sherpa,GPL-3.0,2018-05-16 21:41:54.000000,2020-10-18 07:57:50.000000,2020-10-18 07:57:48.000000,44,12.0,41.0,293,823.0,\"Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.\",43.0,18,False,2020-07-31 05:29:09.000000,1.0.7,8.0,parameter-sherpa,,,,,12.0,10.0,https://pypi.org/project/parameter-sherpa,2019-11-23 21:32:27.000000,2.0,504.0,504.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n731,scikit-tda,scikit-tda/scikit-tda,,sklearn-utils,https://github.com/scikit-tda/scikit-tda,https://github.com/scikit-tda/scikit-tda,MIT,2018-04-13 21:00:31.000000,2021-01-09 19:51:04.000000,2021-01-09 19:50:05.000000,32,11.0,4.0,272,56.0,Topological Data Analysis for Python.,2.0,18,True,2021-01-09 19:51:04.000000,0.1.0,3.0,scikit-tda,,,,['sklearn'],20.0,20.0,https://pypi.org/project/scikit-tda,2021-01-09 19:51:04.000000,,5877.0,5877.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n732,recmetrics,statisticianinstilettos/recmetrics,,recommender-systems,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49.000000,2020-12-03 21:21:02.000000,2020-12-03 21:21:00.000000,60,3.0,7.0,255,233.0,A library of metrics for evaluating recommender systems.,12.0,18,True,2019-03-05 04:11:15.000000,0.0.12,14.0,recmetrics,,,,,17.0,17.0,https://pypi.org/project/recmetrics,2019-03-05 04:11:15.000000,,806.0,806.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n733,somoclu,peterwittek/somoclu,,distributed-ml,https://github.com/peterwittek/somoclu,https://github.com/peterwittek/somoclu,MIT,2013-01-16 06:33:16.000000,2020-10-13 18:39:07.609000,2020-07-24 13:00:47.000000,56,26.0,104.0,226,590.0,\"Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters.\",17.0,18,True,2018-03-03 02:44:37.000000,1.7.5,17.0,somoclu,conda-forge/somoclu,,,,4.0,,https://pypi.org/project/somoclu,2020-04-25 05:33:32.000000,4.0,942.0,1984.0,https://anaconda.org/conda-forge/somoclu,2020-10-13 18:39:07.609000,45019.0,,,,,3.0,1459.0,,,,,,,,,,,,,,,,,,,,,\n734,skift,shaypal5/skift,,nlp,https://github.com/shaypal5/skift,https://github.com/shaypal5/skift,MIT,2018-02-03 11:37:21.000000,2021-03-31 10:11:28.000000,2021-03-31 10:11:20.000000,22,2.0,8.0,214,129.0,scikit-learn wrappers for Python fastText.,7.0,18,True,2020-08-27 15:01:05.000000,0.0.19,15.0,skift,,,,['sklearn'],8.0,8.0,https://pypi.org/project/skift,2020-08-27 15:01:05.000000,,3556.0,3556.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n735,Auto TS,AutoViML/Auto_TS,,time-series-data,https://github.com/AutoViML/Auto_TS,https://github.com/AutoViML/Auto_TS,Apache-2.0,2020-02-15 15:23:32.000000,2021-03-14 19:58:41.000000,2021-03-14 19:58:35.000000,39,10.0,31.0,209,234.0,\"Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of..\",6.0,18,True,2021-03-14 04:16:59.000000,0.0.36,15.0,auto-ts,,,,,,,https://pypi.org/project/auto-ts,2021-03-14 04:16:59.000000,,1015.0,1015.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n736,imodels,csinva/imodels,,interpretability,https://github.com/csinva/imodels,https://github.com/csinva/imodels,MIT,2019-07-04 15:38:48.000000,2021-04-14 07:55:30.000000,2021-04-14 07:41:52.000000,19,,9.0,201,289.0,\"Interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible).\",3.0,18,True,2021-03-11 18:51:58.000000,0.2.8,8.0,imodels,,,,,7.0,7.0,https://pypi.org/project/imodels,2021-03-11 18:44:07.000000,,426.0,426.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n737,ExplainX.ai,explainX/explainx,,interpretability,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15.000000,2021-02-07 11:06:21.000000,2021-02-02 09:03:57.000000,31,10.0,17.0,201,184.0,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,4.0,18,True,2021-02-07 11:06:21.000000,2.407,56.0,explainx,,,,,,,https://pypi.org/project/explainx,2021-02-04 16:44:24.000000,,1286.0,1286.0,,,,,,,,3.0,1.0,,,,,,,,,,,,,,,,,,,,,\n738,Muda,bmcfee/muda,,audio,https://github.com/bmcfee/muda,https://github.com/bmcfee/muda,ISC,2014-11-07 21:21:22.000000,2020-09-01 19:21:10.000000,2020-07-20 20:00:17.000000,32,5.0,44.0,181,291.0,A library for augmenting annotated audio data.,6.0,18,True,2019-11-15 15:46:21.000000,0.4.1,11.0,muda,,,,,10.0,9.0,https://pypi.org/project/muda,2019-11-15 15:46:21.000000,1.0,317.0,317.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n739,Larq Compute Engine,larq/compute-engine,,model-serialisation,https://github.com/larq/compute-engine,https://github.com/larq/compute-engine,Apache-2.0,2019-08-29 15:02:43.000000,2021-04-15 09:15:28.000000,2021-04-13 08:38:16.000000,22,22.0,92.0,143,468.0,Highly optimized inference engine for Binarized Neural Networks.,15.0,18,False,2021-01-30 03:07:11.000000,0.5.0,12.0,larq-compute-engine,,,,,2.0,2.0,https://pypi.org/project/larq-compute-engine,2021-01-30 03:07:11.000000,,1675.0,1689.0,,,,,,,,3.0,204.0,,,,,,,,,,,,,,,,,,,,,\n740,DeepMind Lab,deepmind/lab,,reinforcement-learning,https://github.com/deepmind/lab,https://github.com/deepmind/lab,GPL-2.0,2016-11-30 13:41:26.000000,2021-03-15 17:26:57.000000,2021-03-04 17:39:30.000000,1310,39.0,155.0,6433,481.0,A customisable 3D platform for agent-based AI research.,7.0,17,False,2020-12-07 11:26:33.000000,release-2020-12-07,8.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n741,ReAgent,facebookresearch/ReAgent,,reinforcement-learning,https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000000,2021-04-15 04:38:26.000000,2021-04-15 04:37:50.000000,391,20.0,75.0,2861,1160.0,\"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).\",92.0,17,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n742,Spotlight,maciejkula/spotlight,,recommender-systems,https://github.com/maciejkula/spotlight,https://github.com/maciejkula/spotlight,MIT,2017-06-25 18:52:19.000000,2020-11-15 08:21:28.000000,2020-02-09 21:03:48.000000,372,67.0,48.0,2466,299.0,Deep recommender models using PyTorch.,11.0,17,False,2019-09-08 10:19:53.000000,0.1.6,7.0,,maciejkula/spotlight,,,['pytorch'],,,,,,,133.0,https://anaconda.org/maciejkula/spotlight,2018-05-27 18:32:12.235000,6160.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n743,PaddleDetection,PaddlePaddle/PaddleDetection,,image,https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000000,2021-04-15 14:00:52.000000,2021-04-14 06:33:00.000000,703,325.0,1106.0,2456,746.0,Object detection and instance segmentation toolkit based on PaddlePaddle.,51.0,17,True,2019-11-27 05:15:38.000000,0.1.0,1.0,,,,,['paddle'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n744,spark-deep-learning,databricks/spark-deep-learning,,data-pipelines,https://github.com/databricks/spark-deep-learning,https://github.com/databricks/spark-deep-learning,Apache-2.0,2017-05-31 17:30:28.000000,2021-01-20 15:05:13.000000,2021-01-20 15:00:20.000000,445,73.0,27.0,1824,135.0,Deep Learning Pipelines for Apache Spark.,15.0,17,True,2020-01-08 19:50:31.000000,1.6.0,9.0,,,,,['spark'],17.0,17.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n745,River,online-ml/river,,others,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000000,2021-04-15 12:52:59.000000,2021-04-15 08:04:48.000000,198,40.0,268.0,1521,3100.0,Online machine learning in Python.,63.0,17,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n746,BlazingSQL,BlazingDB/blazingsql,,gpu-utilities,https://github.com/BlazingDB/blazingsql,https://github.com/BlazingDB/blazingsql,Apache-2.0,2018-09-24 18:25:45.000000,2021-04-15 07:06:31.000000,2021-04-13 22:20:45.000000,133,276.0,379.0,1478,,\"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.\",42.0,17,True,2021-02-26 21:15:55.000000,0.18.0,16.0,,blazingsql/blazingsql-protocol,,,,,,,,,,48.0,https://anaconda.org/blazingsql/blazingsql-protocol,2019-11-11 19:54:17.621000,917.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n747,Advisor,tobegit3hub/advisor,,hyperopt,https://github.com/tobegit3hub/advisor,https://github.com/tobegit3hub/advisor,Apache-2.0,2017-09-14 03:50:33.000000,2019-11-11 07:09:57.869705,2019-11-11 06:59:31.000000,249,20.0,13.0,1371,165.0,Open-source implementation of Google Vizier for hyper parameters tuning.,11.0,17,False,2018-10-18 02:54:09.000000,0.1.6,4.0,advisor,,tobegit3hub/advisor,,,,,https://pypi.org/project/advisor,2018-10-18 02:54:09.000000,,100.0,136.0,,,,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1579.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n748,Botflow,kkyon/botflow,,data-pipelines,https://github.com/kkyon/botflow,https://github.com/kkyon/botflow,BSD-3-Clause,2018-08-20 03:13:31.000000,2020-12-31 09:03:22.000000,2019-05-23 14:40:50.000000,99,2.0,2.0,1165,192.0,\"Python Fast Dataflow programming framework for Data pipeline work( Web Crawler,Machine Learning,Quantitative..\",11.0,17,False,2018-09-14 14:38:32.000000,0.2.0,5.0,botflow,,,,,1.0,1.0,https://pypi.org/project/botflow,2018-09-14 14:38:32.000000,,175.0,175.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n749,AdvBox,advboxes/AdvBox,,adversarial,https://github.com/advboxes/AdvBox,https://github.com/advboxes/AdvBox,Apache-2.0,2018-08-08 08:55:41.000000,2021-03-25 22:02:04.000000,2020-08-26 22:59:41.000000,229,8.0,28.0,1076,374.0,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,19.0,17,True,2018-12-05 02:48:50.000000,0.4.1,2.0,advbox,,,,,,,https://pypi.org/project/advbox,2018-12-05 02:48:50.000000,,96.0,96.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n750,sklearn-porter,nok/sklearn-porter,,model-serialisation,https://github.com/nok/sklearn-porter,https://github.com/nok/sklearn-porter,MIT,2016-06-22 22:21:34.000000,2021-02-28 20:44:14.000000,2019-12-18 13:31:50.000000,129,39.0,29.0,1029,699.0,\"Transpile trained scikit-learn estimators to C, Java, JavaScript and others.\",11.0,17,False,2019-12-18 13:39:19.000000,0.7.4,20.0,sklearn-porter,,,,['sklearn'],1.0,,https://pypi.org/project/sklearn-porter,2019-12-18 13:39:19.000000,1.0,1090.0,1090.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n751,CrypTen,facebookresearch/CrypTen,,privacy-ml,https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000000,2021-04-15 11:27:56.000000,2021-04-15 11:27:51.000000,109,27.0,40.0,762,244.0,A framework for Privacy Preserving Machine Learning.,23.0,17,True,2020-04-21 13:59:37.000000,0.1,1.0,crypten,,,,['pytorch'],6.0,6.0,https://pypi.org/project/crypten,2020-02-05 18:53:03.000000,,216.0,216.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n752,ADTK,arundo/adtk,,time-series-data,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22.000000,2020-04-29 19:54:40.000000,2020-04-17 02:27:44.000000,81,23.0,31.0,640,78.0,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,11.0,17,True,2020-04-17 02:18:00.000000,0.6.2,13.0,adtk,,,,,,,https://pypi.org/project/adtk,2020-04-17 02:18:00.000000,,53831.0,53831.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n753,sklearn-deap,rsteca/sklearn-deap,,hyperopt,https://github.com/rsteca/sklearn-deap,https://github.com/rsteca/sklearn-deap,MIT,2015-10-28 22:52:34.000000,2019-12-03 13:29:06.000000,2019-12-03 13:29:04.000000,108,21.0,31.0,635,98.0,Use evolutionary algorithms instead of gridsearch in scikit-learn.,20.0,17,False,2019-07-15 09:24:09.000000,0.2.4,13.0,sklearn-deap,,,,['sklearn'],27.0,25.0,https://pypi.org/project/sklearn-deap,2019-07-15 09:24:09.000000,2.0,820.0,820.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n754,SpeedTorch,Santosh-Gupta/SpeedTorch,,gpu-utilities,https://github.com/Santosh-Gupta/SpeedTorch,https://github.com/Santosh-Gupta/SpeedTorch,MIT,2019-09-07 18:57:52.000000,2020-02-21 23:13:29.000000,2020-02-21 23:13:28.000000,37,3.0,2.0,617,170.0,Library for faster pinned CPU - GPU transfer in Pytorch.,3.0,17,False,2020-01-06 05:27:17.000000,0.1.6,14.0,SpeedTorch,,,,['pytorch'],5.0,3.0,https://pypi.org/project/SpeedTorch,2020-01-06 05:27:17.000000,2.0,155.0,155.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n755,XAI,EthicalML/xai,,interpretability,https://github.com/EthicalML/xai,https://github.com/EthicalML/xai,MIT,2019-01-11 20:00:09.000000,2019-10-05 10:34:58.000000,2019-10-05 10:34:50.000000,92,4.0,3.0,609,83.0,XAI - An eXplainability toolbox for machine learning.,2.0,17,False,2019-04-21 14:53:12.000000,0.0.5,5.0,xai,,,,,17.0,11.0,https://pypi.org/project/xai,2019-04-21 14:53:12.000000,6.0,1541.0,1541.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n756,AlphaPy,ScottfreeLLC/AlphaPy,,hyperopt,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32.000000,2021-02-08 21:35:40.000000,2021-02-08 21:35:40.000000,125,8.0,29.0,579,409.0,\"Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost.\",3.0,17,True,2020-08-29 18:48:20.000000,2.5.0,25.0,alphapy,,,,,2.0,2.0,https://pypi.org/project/alphapy,2020-08-29 18:44:15.000000,,644.0,644.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n757,Auto Tune Models,HDI-Project/ATM,,hyperopt,https://github.com/HDI-Project/ATM,https://github.com/HDI-Project/ATM,MIT,2016-10-14 18:03:00.000000,2020-02-21 17:44:07.000000,2020-02-21 17:40:58.000000,128,17.0,71.0,507,775.0,\"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).\",16.0,17,False,2019-07-30 09:28:26.000000,0.2.2,14.0,atm,,,,,6.0,6.0,https://pypi.org/project/atm,2019-07-30 09:25:11.000000,,304.0,304.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n758,Sematch,gsi-upm/sematch,,graph,https://github.com/gsi-upm/sematch,https://github.com/gsi-upm/sematch,Apache-2.0,2012-11-30 11:11:53.000000,2020-11-05 21:20:52.000000,2019-03-27 03:17:24.000000,98,14.0,19.0,345,122.0,semantic similarity framework for knowledge graph.,5.0,17,False,2017-04-17 10:56:52.000000,1.0.4,5.0,sematch,,,,,30.0,27.0,https://pypi.org/project/sematch,2017-04-17 10:56:52.000000,3.0,216.0,216.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n759,atspy,firmai/atspy,,time-series-data,https://github.com/firmai/atspy,https://github.com/firmai/atspy,MIT,2020-01-28 05:00:10.000000,2020-12-01 13:53:03.000000,2020-11-12 16:15:26.000000,65,17.0,2.0,345,97.0,AtsPy: Automated Time Series Models in Python (by @firmai).,5.0,17,True,2020-11-12 16:10:48.000000,zen,39.0,atspy,,,,,3.0,3.0,https://pypi.org/project/atspy,2020-04-24 18:16:15.000000,,1253.0,1253.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n760,datmo,datmo/datmo,,ml-experiments,https://github.com/datmo/datmo,https://github.com/datmo/datmo,MIT,2017-11-03 05:46:43.000000,2019-11-29 00:48:45.000000,2019-11-29 00:48:44.000000,28,42.0,149.0,334,1051.0,Open source production model management tool for data scientists.,6.0,17,False,2018-12-07 06:16:42.000000,0.0.40,41.0,datmo,,,,,5.0,5.0,https://pypi.org/project/datmo,2018-12-07 06:16:42.000000,,558.0,558.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n761,Case Recommender,caserec/CaseRecommender,,recommender-systems,https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39.000000,2020-05-26 22:44:05.000000,2020-05-26 22:44:05.000000,69,7.0,16.0,323,201.0,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems.,10.0,17,True,2019-08-20 13:48:43.000000,1.1.0,41.0,caserecommender,,,,['sklearn'],9.0,9.0,https://pypi.org/project/caserecommender,2019-08-20 13:48:43.000000,,794.0,794.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n762,Headliner,as-ideas/headliner,,nlp,https://github.com/as-ideas/headliner,https://github.com/as-ideas/headliner,MIT,2019-09-30 11:33:28.000000,2021-03-26 07:19:57.000000,2020-02-14 09:03:27.000000,37,1.0,13.0,223,276.0,Easy training and deployment of seq2seq models.,2.0,17,False,2020-01-24 09:06:29.000000,1.0.2,30.0,headliner,,,,,4.0,3.0,https://pypi.org/project/headliner,2020-01-24 09:06:29.000000,1.0,678.0,678.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n763,elegy,poets-ai/elegy,,ml-frameworks,https://github.com/poets-ai/elegy,https://github.com/poets-ai/elegy,Apache-2.0,2020-06-30 14:00:37.000000,2021-04-02 14:14:33.000000,2021-04-01 17:03:16.000000,11,21.0,36.0,200,299.0,Elegy is a framework-agnostic Trainer interface for the Jax ecosystem.,13.0,17,True,2021-03-10 18:59:02.000000,0.7.2,21.0,elegy,,,,\"['tensorflow', 'jax']\",,,https://pypi.org/project/elegy,2021-03-01 22:47:33.000000,,828.0,828.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n764,model-card-toolkit,tensorflow/model-card-toolkit,,interpretability,https://github.com/tensorflow/model-card-toolkit,https://github.com/tensorflow/model-card-toolkit,Apache-2.0,2020-07-24 16:48:58.000000,2021-04-14 04:20:42.000000,2021-04-06 00:09:28.000000,27,12.0,2.0,182,116.0,a tool that leverages rich metadata and lineage information in MLMD to build a model card.,9.0,17,True,2021-02-05 20:56:01.000000,0.1.3,4.0,model-card-toolkit,,,,,2.0,2.0,https://pypi.org/project/model-card-toolkit,2021-02-05 20:54:29.000000,,352.0,352.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n765,ipyexperiments,stas00/ipyexperiments,,gpu-utilities,https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40.000000,2021-03-28 18:24:12.000000,2021-03-28 18:23:45.000000,9,,4.0,132,196.0,jupyter/ipython experiment containers for GPU and general RAM re-use.,3.0,17,False,2021-03-28 03:39:09.000000,0.1.26,23.0,ipyexperiments,,,,['jupyter'],6.0,4.0,https://pypi.org/project/ipyexperiments,2021-03-28 03:39:09.000000,2.0,597.0,597.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n766,celer,mathurinm/celer,,sklearn-utils,https://github.com/mathurinm/celer,https://github.com/mathurinm/celer,BSD-3-Clause,2018-02-20 19:37:31.000000,2021-04-15 12:31:25.000000,2021-04-15 12:23:57.000000,22,16.0,50.0,114,217.0,\"Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.\",9.0,17,False,2020-10-12 12:26:09.000000,0.5.1,10.0,celer,,,,['sklearn'],4.0,4.0,https://pypi.org/project/celer,2020-12-09 13:19:10.000000,,215.0,215.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n767,dabl,amueller/dabl,,sklearn-utils,https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49.000000,2021-02-27 01:32:09.000000,2020-07-08 16:14:41.000000,7,1.0,,72,252.0,Data Analysis Baseline Library.,18.0,17,False,2021-02-27 01:25:17.000000,0.2.0,11.0,dabl,,,,['sklearn'],,,https://pypi.org/project/dabl,2021-02-27 01:25:17.000000,,1822.0,1822.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n768,tinygrad,geohot/tinygrad,,pytorch-utils,https://github.com/geohot/tinygrad,https://github.com/geohot/tinygrad,MIT,2020-10-18 16:23:12.000000,2021-04-11 14:08:31.000000,2021-01-31 16:31:16.000000,471,17.0,63.0,4232,511.0,You like pytorch? You like micrograd? You love tinygrad!.,43.0,16,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n769,automl-gs,minimaxir/automl-gs,,hyperopt,https://github.com/minimaxir/automl-gs,https://github.com/minimaxir/automl-gs,MIT,2019-01-13 18:57:44.000000,2019-10-22 11:20:40.000000,2019-04-05 06:48:14.000000,164,26.0,6.0,1731,102.0,\"Provide an input CSV and a target field to predict, generate a model + code to run it.\",7.0,16,False,2019-04-05 06:51:04.000000,0.2.1,2.0,automl_gs,,,,,,,https://pypi.org/project/automl_gs,2019-04-05 06:47:54.000000,,60.0,60.0,,,,,,,,3.0,21.0,,,,,,,,,,,,,,,,,,,,,\n770,Xcessiv,reiinakano/xcessiv,,hyperopt,https://github.com/reiinakano/xcessiv,https://github.com/reiinakano/xcessiv,Apache-2.0,2017-03-07 18:18:25.000000,2018-06-06 22:23:37.000000,2017-08-21 00:51:15.000000,109,22.0,13.0,1258,316.0,\"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.\",6.0,16,False,2017-08-21 00:53:25.000000,0.5.1,34.0,xcessiv,,,,,2.0,1.0,https://pypi.org/project/xcessiv,2017-08-21 00:49:41.000000,1.0,114.0,114.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n771,aim,aimhubio/aim,,ml-experiments,https://github.com/aimhubio/aim,https://github.com/aimhubio/aim,Apache-2.0,2019-05-31 18:25:07.000000,2021-04-10 15:13:13.000000,2021-04-10 15:12:30.000000,57,93.0,68.0,1045,,\"Aim a super-easy way to record, search and compare 1000s of ML training runs.\",10.0,16,True,2019-11-06 08:06:11.000000,3.1.0,48.0,aim,,,,,2.0,,https://pypi.org/project/aim,2021-04-10 15:12:54.000000,2.0,2894.0,2894.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n772,MedicalTorch,perone/medicaltorch,,medical-data,https://github.com/perone/medicaltorch,https://github.com/perone/medicaltorch,Apache-2.0,2018-02-27 02:50:07.000000,2020-09-30 13:21:57.000000,2019-08-15 10:03:51.000000,106,14.0,9.0,723,55.0,A medical imaging framework for Pytorch.,7.0,16,False,2018-11-24 00:33:11.000000,0.2,2.0,medicaltorch,,,,['pytorch'],10.0,10.0,https://pypi.org/project/medicaltorch,2018-11-24 00:29:36.000000,,228.0,228.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n773,torchsde,google-research/torchsde,,pytorch-utils,https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11.000000,2021-04-10 22:21:33.000000,2021-04-10 22:21:25.000000,62,6.0,30.0,698,149.0,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,4.0,16,True,2021-01-05 18:31:38.000000,0.2.4,4.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n774,cuGraph,rapidsai/cugraph,,gpu-utilities,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000000,2021-04-15 14:26:21.000000,2021-04-12 13:42:31.000000,144,94.0,531.0,692,,cuGraph - RAPIDS Graph Analytics Library.,61.0,16,True,2021-02-24 21:42:05.000000,0.18.0,7.0,cugraph,,,,,0.0,,https://pypi.org/project/cugraph,2020-06-01 20:09:06.000000,0.0,118.0,118.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n775,HyperparameterHunter,HunterMcGushion/hyperparameter_hunter,,hyperopt,https://github.com/HunterMcGushion/hyperparameter_hunter,https://github.com/HunterMcGushion/hyperparameter_hunter,MIT,2018-06-01 23:17:00.000000,2021-01-20 03:52:41.000000,2021-01-20 03:52:40.000000,83,37.0,84.0,646,1096.0,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries.,4.0,16,True,2019-08-06 09:09:45.000000,3.0.0,16.0,hyperparameter-hunter,,,,,2.0,,https://pypi.org/project/hyperparameter-hunter,2019-08-06 08:52:20.000000,2.0,378.0,386.0,,,,,,,,3.0,270.0,,,,,,,,,,,,,,,,,,,,,\n776,ThunderGBM,Xtra-Computing/thundergbm,,ml-frameworks,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08.000000,2021-04-01 02:08:51.000000,2021-01-05 04:22:15.000000,74,21.0,28.0,589,606.0,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,10.0,16,True,2020-05-01 23:16:25.000000,0.3.16,24.0,thundergbm,,,,,,,https://pypi.org/project/thundergbm,2020-05-01 23:16:25.000000,,138.0,138.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n777,Tensor Sensor,parrt/tensor-sensor,,pytorch-utils,https://github.com/parrt/tensor-sensor,https://github.com/parrt/tensor-sensor,MIT,2020-08-28 22:54:04.000000,2021-01-07 00:40:37.000000,2021-01-07 00:40:31.000000,25,5.0,12.0,543,155.0,The goal of this library is to generate more helpful exception messages for numpy/pytorch matrix algebra expressions.,2.0,16,True,2020-12-03 20:46:15.000000,0.1.1,34.0,tensor-sensor,,,,['pytorch'],2.0,2.0,https://pypi.org/project/tensor-sensor,2020-12-03 20:45:09.000000,,503.0,503.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n778,kglib,graknlabs/kglib,,graph,https://github.com/graknlabs/kglib,https://github.com/graknlabs/kglib,Apache-2.0,2018-09-16 16:46:48.000000,2021-01-15 11:17:51.000000,2021-01-15 11:17:51.000000,76,10.0,49.0,416,487.0,Grakn Knowledge Graph Library (ML R&D).,7.0,16,True,2020-08-19 15:39:10.000000,0.2.2,7.0,grakn-kglib,,,,,,,https://pypi.org/project/grakn-kglib,2020-08-19 15:39:10.000000,,207.0,214.0,,,,,,,,3.0,207.0,,,,,,,,,,,,,,,,,,,,,\n779,pdvega,altair-viz/pdvega,,data-viz,https://github.com/altair-viz/pdvega,https://github.com/altair-viz/pdvega,MIT,2018-01-11 21:30:27.000000,2019-03-29 16:09:14.000000,2019-03-29 16:09:13.000000,29,16.0,10.0,340,177.0,Interactive plotting for Pandas using Vega-Lite.,9.0,16,False,,,1.0,pdvega,,,,,55.0,48.0,https://pypi.org/project/pdvega,2018-02-01 04:56:43.000000,7.0,130.0,130.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n780,VizSeq,facebookresearch/vizseq,,nlp,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38.000000,2021-03-09 22:59:10.000000,2021-03-09 22:59:06.000000,41,7.0,8.0,322,44.0,\"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).\",3.0,16,True,2020-08-07 01:13:52.000000,0.1.15,16.0,vizseq,,,,,2.0,2.0,https://pypi.org/project/vizseq,2020-08-07 01:13:52.000000,,209.0,209.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n781,Pywick,achaiah/pywick,,pytorch-utils,https://github.com/achaiah/pywick,https://github.com/achaiah/pywick,MIT,2019-03-25 15:42:47.000000,2021-03-08 15:28:01.000000,2021-03-01 17:17:46.000000,35,3.0,9.0,322,118.0,High-level batteries-included neural network training library for Pytorch.,4.0,16,True,2020-01-20 22:14:21.000000,0.5.6,6.0,pywick,,,,['pytorch'],2.0,2.0,https://pypi.org/project/pywick,2020-01-20 22:14:21.000000,,267.0,267.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n782,LOFO,aerdem4/lofo-importance,,interpretability,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46.000000,2021-01-27 13:57:42.000000,2020-07-02 11:49:52.000000,40,1.0,10.0,319,24.0,Leave One Feature Out Importance.,3.0,16,True,2020-07-02 11:44:57.000000,0.2.6,9.0,lofo-importance,,,,,3.0,3.0,https://pypi.org/project/lofo-importance,2020-07-02 11:44:57.000000,,285.0,285.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n783,DeepGraph,deepgraph/deepgraph,,graph,https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45.000000,2021-01-15 08:36:25.609000,2020-10-01 13:17:00.000000,35,7.0,5.0,232,160.0,Analyze Data with Pandas-based Networks. Documentation:.,2.0,16,True,2020-10-01 13:20:38.000000,0.2.3,13.0,deepgraph,conda-forge/deepgraph,,,['pandas'],1.0,1.0,https://pypi.org/project/deepgraph,2020-10-01 13:18:38.000000,,537.0,2549.0,https://anaconda.org/conda-forge/deepgraph,2021-01-15 08:36:25.609000,88567.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n784,NeuralQA,victordibia/neuralqa,,nlp,https://github.com/victordibia/neuralqa,https://github.com/victordibia/neuralqa,MIT,2020-05-19 03:55:56.000000,2021-03-25 23:57:21.000000,2020-12-16 17:41:37.000000,24,21.0,8.0,188,312.0,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,3.0,16,True,,,27.0,neuralqa,,,,,2.0,2.0,https://pypi.org/project/neuralqa,2020-09-18 17:54:50.000000,,226.0,226.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n785,Julius,adefossez/julius,,audio,https://github.com/adefossez/julius,https://github.com/adefossez/julius,MIT,2020-10-26 10:54:21.000000,2021-03-03 09:48:59.000000,2021-03-03 09:27:16.000000,6,1.0,4.0,182,,Fast PyTorch based DSP for audio and 1D signals.,2.0,16,True,2021-03-03 09:48:59.000000,0.2.3,7.0,julius,,,,['pytorch'],9.0,9.0,https://pypi.org/project/julius,2021-03-03 09:48:59.000000,0.0,3379.0,3379.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n786,skggm,skggm/skggm,,sklearn-utils,https://github.com/skggm/skggm,https://github.com/skggm/skggm,MIT,2016-06-11 18:35:56.000000,2020-12-24 08:36:00.000000,2020-12-24 05:43:15.000000,31,28.0,47.0,178,691.0,Scikit-learn compatible estimation of general graphical models.,5.0,16,True,2018-09-12 01:12:49.000000,0.2.8,6.0,skggm,,,,['sklearn'],8.0,6.0,https://pypi.org/project/skggm,2018-09-12 01:12:49.000000,2.0,107.0,107.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n787,steppy,minerva-ml/steppy,,ml-experiments,https://github.com/minerva-ml/steppy,https://github.com/minerva-ml/steppy,MIT,2018-01-15 09:40:49.000000,2018-11-23 09:49:59.000000,2018-11-23 09:47:34.000000,31,16.0,50.0,128,69.0,\"Lightweight, Python library for fast and reproducible experimentation.\",5.0,16,False,2018-11-23 09:49:59.000000,0.1.16,16.0,steppy,,,,,44.0,39.0,https://pypi.org/project/steppy,2018-11-23 09:49:59.000000,5.0,133.0,133.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n788,pyRDF2Vec,IBCNServices/pyRDF2Vec,,graph,https://github.com/IBCNServices/pyRDF2Vec,https://github.com/IBCNServices/pyRDF2Vec,MIT,2019-06-13 11:36:12.000000,2021-04-13 15:11:42.000000,2021-04-13 15:03:57.000000,19,3.0,31.0,104,1080.0,Python Implementation and Extension of RDF2Vec.,5.0,16,False,2021-04-02 07:35:12.000000,0.2.2,10.0,pyrdf2vec,,,,,,,https://pypi.org/project/pyrdf2vec,2021-04-02 07:33:41.000000,,365.0,365.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n789,contextual-ai,SAP/contextual-ai,,interpretability,https://github.com/SAP/contextual-ai,https://github.com/SAP/contextual-ai,Apache-2.0,2020-05-12 07:15:56.000000,2021-03-25 23:48:34.000000,2021-01-25 04:03:23.000000,9,4.0,1.0,67,621.0,\"Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference -..\",10.0,16,False,2021-01-25 04:56:57.000000,0.0.2,2.0,contextual-ai,,,,,,,https://pypi.org/project/contextual-ai,2021-01-25 04:56:57.000000,,233.0,233.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n790,Euler,alibaba/euler,,graph,https://github.com/alibaba/euler,https://github.com/alibaba/euler,Apache-2.0,2019-01-10 06:32:32.000000,2020-07-29 05:53:02.000000,2020-07-29 05:53:01.000000,515,206.0,100.0,2542,8.0,A distributed graph deep learning framework.,5.0,15,True,2020-07-07 02:24:18.000000,2.0.0,2.0,euler-gl,,,,['tensorflow'],,,https://pypi.org/project/euler-gl,2019-04-10 01:53:45.000000,,37.0,37.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n791,GraphEmbedding,shenweichen/GraphEmbedding,,graph,https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20.000000,2021-04-06 17:36:59.000000,2020-10-18 09:32:47.000000,579,28.0,13.0,1911,28.0,Implementation and experiments of graph embedding algorithms.,8.0,15,True,,,,,,,,['sklearn'],7.0,7.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n792,pycls,facebookresearch/pycls,,image,https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17.000000,2021-04-06 08:35:04.000000,2021-03-27 08:14:57.000000,168,12.0,44.0,1527,76.0,\"Codebase for Image Classification Research, written in PyTorch.\",10.0,15,True,2020-04-15 19:33:22.000000,0.1,1.0,,,,,['pytorch'],3.0,3.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n793,zenml,maiot-io/zenml,,data-pipelines,https://github.com/maiot-io/zenml,https://github.com/maiot-io/zenml,Apache-2.0,2020-11-19 09:25:46.000000,2021-04-15 12:06:36.000000,2021-04-15 12:06:34.000000,51,16.0,23.0,1092,,ZenML : MLOps framework to create reproducible ML pipelines for production machine learning.,8.0,15,True,2021-03-30 14:09:29.000000,0.3.6,25.0,zenml,,,,,1.0,1.0,https://pypi.org/project/zenml,2021-04-06 09:51:56.000000,,538.0,538.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n794,Torch-Struct,harvardnlp/pytorch-struct,,pytorch-utils,https://github.com/harvardnlp/pytorch-struct,https://github.com/harvardnlp/pytorch-struct,MIT,2019-08-26 19:34:30.000000,2021-02-15 20:20:59.000000,2021-02-14 02:45:15.000000,71,18.0,24.0,923,261.0,\"Fast, general, and tested differentiable structured prediction in PyTorch.\",13.0,15,True,2021-02-15 20:20:59.000000,0.5,2.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n795,Translate,pytorch/translate,,nlp,https://github.com/pytorch/translate,https://github.com/pytorch/translate,BSD-3-Clause,2018-04-24 16:44:04.000000,2021-03-04 21:32:58.000000,2021-03-04 21:32:51.000000,164,66.0,27.0,686,805.0,Translate - a PyTorch Language Library.,85.0,15,True,,,1.0,pytorch-translate,,,,['pytorch'],,,https://pypi.org/project/pytorch-translate,2018-05-01 19:59:40.000000,,12.0,12.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n796,Tez,abhishekkrthakur/tez,,pytorch-utils,https://github.com/abhishekkrthakur/tez,https://github.com/abhishekkrthakur/tez,Apache-2.0,2020-11-13 10:19:22.000000,2021-03-06 18:36:45.000000,2021-03-06 18:36:45.000000,78,12.0,7.0,592,,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,1.0,15,True,2021-01-29 07:26:14.000000,0.1.2,9.0,tez,,,,['pytorch'],6.0,6.0,https://pypi.org/project/tez,2021-01-29 07:26:14.000000,,745.0,745.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n797,FlashTorch,MisaOgura/flashtorch,,interpretability,https://github.com/MisaOgura/flashtorch,https://github.com/MisaOgura/flashtorch,MIT,2019-03-22 13:00:57.000000,2020-12-14 23:09:26.000000,2020-05-29 14:37:29.000000,66,6.0,21.0,573,126.0,Visualization toolkit for neural networks in PyTorch! Demo --.,2.0,15,True,2020-05-29 14:39:38.000000,0.1.3,12.0,flashtorch,,,,['pytorch'],6.0,6.0,https://pypi.org/project/flashtorch,2020-05-29 14:38:32.000000,,277.0,277.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n798,cuSignal,rapidsai/cusignal,,gpu-utilities,https://github.com/rapidsai/cusignal,https://github.com/rapidsai/cusignal,Apache-2.0,2019-08-22 14:27:27.000000,2021-04-09 19:08:50.000000,2021-04-08 18:18:24.000000,61,15.0,93.0,478,,GPU accelerated signal processing.,29.0,15,True,2021-02-24 18:04:23.000000,0.18.0,6.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n799,PandaPy,firmai/pandapy,,data-containers,https://github.com/firmai/pandapy,https://github.com/firmai/pandapy,MIT,2020-01-15 18:21:23.000000,2020-11-12 16:18:45.000000,2020-11-12 16:18:44.000000,47,2.0,1.0,473,83.0,PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai).,3.0,15,True,2020-11-12 16:12:54.000000,zen,22.0,pandapy,,,,['pandas'],1.0,1.0,https://pypi.org/project/pandapy,2020-01-25 23:10:32.000000,,181.0,181.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n800,OpenRec,ylongqi/openrec,,recommender-systems,https://github.com/ylongqi/openrec,https://github.com/ylongqi/openrec,Apache-2.0,2017-11-29 16:04:40.000000,2020-11-13 17:47:17.000000,2020-02-19 07:57:17.000000,82,4.0,12.0,366,213.0,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms.,10.0,15,False,2020-02-18 06:52:11.000000,0.3.0,12.0,openrec,,,,,2.0,1.0,https://pypi.org/project/openrec,2020-02-18 06:52:11.000000,1.0,84.0,84.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n801,tfdeploy,riga/tfdeploy,,model-serialisation,https://github.com/riga/tfdeploy,https://github.com/riga/tfdeploy,BSD-3-Clause,2016-03-07 13:08:21.000000,2021-01-08 09:52:54.000000,2021-01-08 09:52:49.000000,38,10.0,23.0,346,170.0,Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.,4.0,15,True,2017-03-30 10:51:26.000000,0.4.2,22.0,tfdeploy,,,,['tensorflow'],2.0,,https://pypi.org/project/tfdeploy,2017-03-30 10:51:26.000000,2.0,141.0,141.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n802,data-describe,data-describe/data-describe,,data-viz,https://github.com/data-describe/data-describe,https://github.com/data-describe/data-describe,Apache-2.0,2020-05-04 17:58:14.000000,2021-04-13 06:31:03.000000,2021-03-02 19:30:45.000000,14,70.0,174.0,271,695.0,datadescribe: Pythonic EDA Accelerator for Data Science.,14.0,15,True,,,5.0,data-describe,,,,,,,https://pypi.org/project/data-describe,2020-12-03 23:07:43.000000,,478.0,478.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n803,Parfit,jmcarpenter2/parfit,,hyperopt,https://github.com/jmcarpenter2/parfit,https://github.com/jmcarpenter2/parfit,MIT,2017-11-22 20:17:51.000000,2020-04-04 19:26:44.000000,2020-04-04 19:26:37.000000,25,6.0,5.0,197,127.0,\"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..\",2.0,15,True,,,23.0,parfit,,,,['sklearn'],8.0,8.0,https://pypi.org/project/parfit,2018-10-11 22:03:16.000000,,6679.0,6679.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n804,Auptimizer,LGE-ARC-AdvancedAI/auptimizer,,hyperopt,https://github.com/LGE-ARC-AdvancedAI/auptimizer,https://github.com/LGE-ARC-AdvancedAI/auptimizer,GPL-3.0,2019-09-12 01:08:37.000000,2021-03-03 01:50:33.000000,2021-03-03 01:30:06.000000,21,1.0,5.0,169,79.0,An automatic ML model optimization tool.,11.0,15,False,2021-03-03 02:00:23.000000,2.0,7.0,auptimizer,,,,,,,https://pypi.org/project/auptimizer,2021-03-02 02:40:32.000000,,391.0,391.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n805,nx-altair,Zsailer/nx_altair,,data-viz,https://github.com/Zsailer/nx_altair,https://github.com/Zsailer/nx_altair,MIT,2018-05-13 00:10:12.000000,2020-09-30 12:01:08.000000,2020-06-02 21:10:26.000000,20,5.0,4.0,161,51.0,Draw interactive NetworkX graphs with Altair.,3.0,15,True,2020-06-02 21:11:12.000000,0.1.6,8.0,nx-altair,,,,['jupyter'],4.0,,https://pypi.org/project/nx-altair,2020-06-02 21:11:12.000000,4.0,389.0,389.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n806,ModelChimp,ModelChimp/modelchimp,,ml-experiments,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03.000000,2021-04-13 23:40:44.000000,2021-02-15 13:37:13.000000,12,4.0,10.0,121,361.0,Experiment tracking for machine and deep learning projects.,3.0,15,False,2019-04-09 10:43:15.000000,0.4.0,37.0,modelchimp,,modelchimp/modelchimp-server,,,,,https://pypi.org/project/modelchimp,2019-04-09 10:41:20.000000,,511.0,533.0,,,,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,638.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n807,Attribution Priors,suinleelab/attributionpriors,,interpretability,https://github.com/suinleelab/attributionpriors,https://github.com/suinleelab/attributionpriors,MIT,2019-06-24 23:54:24.000000,2021-03-19 19:43:58.000000,2021-03-19 19:43:51.000000,6,1.0,3.0,75,72.0,Tools for training explainable models using attribution priors.,6.0,15,False,2021-03-16 17:47:18.000000,1.0.0,4.0,attributionpriors,,,,\"['tensorflow', 'pytorch']\",2.0,2.0,https://pypi.org/project/attributionpriors,2019-10-31 18:03:05.000000,,150.0,150.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n808,DE⫶TR,facebookresearch/detr,,image,https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52.000000,2021-04-09 13:40:27.000000,2020-11-15 16:03:45.000000,1037,77.0,230.0,6664,41.0,End-to-End Object Detection with Transformers.,19.0,14,True,2020-06-29 16:41:01.000000,0.2,1.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n809,PySlowFast,facebookresearch/SlowFast,,image,https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26.000000,2021-03-24 09:38:55.000000,2021-03-23 19:31:09.000000,673,188.0,188.0,3497,106.0,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,20.0,14,True,,,,,,,,['pytorch'],2.0,2.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n810,OpenNRE,thunlp/OpenNRE,,nlp,https://github.com/thunlp/OpenNRE,https://github.com/thunlp/OpenNRE,MIT,2017-02-26 07:37:12.000000,2021-03-09 04:16:47.000000,2021-03-09 04:16:47.000000,864,24.0,287.0,3057,139.0,An Open-Source Package for Neural Relation Extraction (NRE).,9.0,14,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n811,OpenKE,thunlp/OpenKE,,graph,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,MIT,2017-10-08 11:20:23.000000,2021-04-06 08:24:33.000000,2021-04-06 08:24:50.000000,776,60.0,229.0,2512,97.0,An Open-Source Package for Knowledge Embedding (KE).,10.0,14,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n812,GraphSAGE,williamleif/GraphSAGE,,graph,https://github.com/williamleif/GraphSAGE,https://github.com/williamleif/GraphSAGE,MIT,2017-05-29 15:36:22.000000,2021-02-02 21:46:42.000000,2018-09-19 19:27:00.000000,638,85.0,58.0,2267,59.0,Representation learning on large graphs using stochastic graph convolutions.,9.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n813,ZhuSuan,thu-ml/zhusuan,,probabilistics,https://github.com/thu-ml/zhusuan,https://github.com/thu-ml/zhusuan,MIT,2016-07-18 13:31:38.000000,2020-01-09 14:51:27.000000,2019-08-05 10:00:04.000000,387,8.0,53.0,2026,439.0,\"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.\",20.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n814,OpenNE,thunlp/OpenNE,,graph,https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20.000000,2021-03-22 13:16:57.000000,2019-08-12 10:56:27.000000,446,50.0,82.0,1444,98.0,An Open-Source Package for Network Embedding (NE).,10.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n815,Anchor,marcotcr/anchor,,interpretability,https://github.com/marcotcr/anchor,https://github.com/marcotcr/anchor,BSD-2-Clause,2018-02-02 23:38:50.000000,2020-09-10 17:49:26.000000,2020-09-10 17:48:28.000000,87,14.0,46.0,632,39.0,Code for High-Precision Model-Agnostic Explanations paper.,8.0,14,True,,,8.0,anchor_exp,,,,,,,https://pypi.org/project/anchor_exp,2020-06-26 20:56:50.000000,,757.0,757.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n816,AutoGL,THUMNLab/AutoGL,,graph,https://github.com/THUMNLab/AutoGL,https://github.com/THUMNLab/AutoGL,MIT,2020-11-30 14:26:22.000000,2021-04-15 03:22:45.000000,2021-04-10 10:49:50.000000,59,5.0,4.0,609,,An autoML framework & toolkit for machine learning on graphs.,5.0,14,True,2020-12-23 08:15:15.000000,0.1.1,2.0,auto-graph-learning,,,,['pytorch'],,,https://pypi.org/project/auto-graph-learning,2020-12-23 08:05:25.000000,,118.0,118.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n817,NeoML,neoml-lib/neoml,,ml-frameworks,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000000,2021-04-15 13:54:21.000000,2021-04-14 11:15:25.000000,83,36.0,13.0,583,300.0,Machine learning framework for both deep learning and traditional algorithms.,21.0,14,True,2020-06-14 17:44:03.000000,NeoML-master_1.0.1.0,1.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n818,Adversary,airbnb/artificial-adversary,,adversarial,https://github.com/airbnb/artificial-adversary,https://github.com/airbnb/artificial-adversary,MIT,2018-08-08 04:42:11.000000,2018-10-14 05:34:44.000000,2018-08-29 15:31:30.000000,51,6.0,,348,15.0,Tool to generate adversarial text examples and test machine learning models against them.,5.0,14,False,2018-08-29 15:14:41.000000,1.1.1,3.0,Adversary,,,,,6.0,6.0,https://pypi.org/project/Adversary,2018-08-29 15:14:41.000000,0.0,75.0,75.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n819,TransferNLP,feedly/transfer-nlp,,nlp,https://github.com/feedly/transfer-nlp,https://github.com/feedly/transfer-nlp,MIT,2019-03-12 20:00:31.000000,2020-05-28 19:00:02.000000,2020-05-28 17:31:53.000000,18,4.0,19.0,287,465.0,NLP library designed for reproducible experimentation management.,7.0,14,True,2020-05-28 19:00:02.000000,0.1.6,8.0,transfer-nlp,,,,['pytorch'],,,https://pypi.org/project/transfer-nlp,2020-05-28 19:00:02.000000,,143.0,143.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n820,textvec,textvec/textvec,,nlp,https://github.com/textvec/textvec,https://github.com/textvec/textvec,MIT,2018-04-12 14:03:53.000000,2020-12-03 14:23:11.000000,2020-12-03 14:23:04.000000,21,2.0,6.0,168,70.0,Text vectorization tool to outperform TFIDF for classification tasks.,5.0,14,True,2019-09-12 07:41:04.000000,2.0,4.0,textvec,,,,['sklearn'],2.0,2.0,https://pypi.org/project/textvec,2020-12-03 14:17:09.000000,,169.0,169.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n821,ONNX-T5,abelriboulot/onnxt5,,nlp,https://github.com/abelriboulot/onnxt5,https://github.com/abelriboulot/onnxt5,Apache-2.0,2020-08-01 09:38:35.000000,2021-01-28 09:26:15.000000,2021-01-28 09:24:52.000000,19,5.0,6.0,147,74.0,\"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..\",3.0,14,False,2021-01-28 09:26:15.000000,0.1.8,11.0,onnxt5,,,,,,,https://pypi.org/project/onnxt5,2021-01-28 09:26:15.000000,,172.0,172.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n822,DeepNeuro,QTIM-Lab/DeepNeuro,,medical-data,https://github.com/QTIM-Lab/DeepNeuro,https://github.com/QTIM-Lab/DeepNeuro,MIT,2017-06-01 19:36:34.000000,2020-06-24 13:00:15.000000,2020-06-24 13:00:14.000000,32,27.0,16.0,101,285.0,A deep learning python package for neuroimaging data. Made by:.,6.0,14,False,2019-06-10 21:04:04.000000,0.2.3,6.0,deepneuro,,,,,1.0,1.0,https://pypi.org/project/deepneuro,2019-06-10 21:04:04.000000,,105.0,105.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n823,Hypermax,electricbrainio/hypermax,,hyperopt,https://github.com/electricbrainio/hypermax,https://github.com/electricbrainio/hypermax,BSD-3-Clause,2018-07-27 18:43:01.000000,2020-08-02 18:08:50.000000,2020-08-02 18:08:46.000000,15,3.0,1.0,96,207.0,\"Better, faster hyper-parameter optimization.\",9.0,14,False,2019-10-23 15:40:12.000000,0.5.1,11.0,hypermax,,,,,4.0,4.0,https://pypi.org/project/hypermax,2019-10-23 15:40:12.000000,,144.0,144.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n824,LazyCluster,ml-tooling/lazycluster,,distributed-ml,https://github.com/ml-tooling/lazycluster,https://github.com/ml-tooling/lazycluster,Apache-2.0,2019-08-07 08:05:13.000000,2021-04-06 18:36:57.000000,2020-12-14 15:24:53.000000,6,,,34,,Distributed machine learning made simple.,2.0,14,False,2020-12-14 15:25:59.000000,0.2.4,5.0,lazycluster,,,,,3.0,3.0,https://pypi.org/project/lazycluster,2020-12-14 14:49:33.000000,,316.0,316.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n825,nptsne,biovault/nptsne,,data-viz,https://github.com/biovault/nptsne,https://github.com/biovault/nptsne,Apache-2.0,2019-06-28 08:40:25.000000,2021-03-08 15:54:27.000000,2021-02-03 08:52:27.000000,2,6.0,5.0,25,857.0,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,3.0,14,False,2020-09-10 23:54:14.000000,1.1.0,2.0,nptsne,,,,,2.0,2.0,https://pypi.org/project/nptsne,2020-09-10 23:54:14.000000,,216.0,216.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n826,StarSpace,facebookresearch/StarSpace,,ml-frameworks,https://github.com/facebookresearch/StarSpace,https://github.com/facebookresearch/StarSpace,MIT,2017-06-28 17:50:18.000000,2020-05-18 03:40:57.000000,2019-12-13 19:03:25.000000,494,50.0,146.0,3585,138.0,\"Learning embeddings for classification, retrieval and ranking.\",17.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n827,ENAS,carpedm20/ENAS-pytorch,,hyperopt,https://github.com/carpedm20/ENAS-pytorch,https://github.com/carpedm20/ENAS-pytorch,Apache-2.0,2018-02-15 04:54:37.000000,2020-12-09 18:13:03.000000,2020-06-16 07:23:32.000000,447,37.0,7.0,2420,53.0,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,6.0,13,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n828,micrograd,karpathy/micrograd,,pytorch-utils,https://github.com/karpathy/micrograd,https://github.com/karpathy/micrograd,MIT,2020-04-13 04:31:18.000000,2020-12-18 12:55:50.000000,2020-04-18 19:15:25.000000,124,2.0,3.0,1633,24.0,A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.,2.0,13,True,2020-04-18 19:06:59.000000,0.1.0,1.0,micrograd,,,,['pytorch'],1.0,1.0,https://pypi.org/project/micrograd,2020-04-18 19:06:59.000000,0.0,36.0,36.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n829,Medical Detection Toolkit,MIC-DKFZ/medicaldetectiontoolkit,,medical-data,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,Apache-2.0,2018-10-12 12:34:57.000000,2021-03-30 11:54:29.000000,2021-03-30 11:54:21.000000,238,27.0,85.0,933,37.0,\"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..\",3.0,13,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n830,featurewiz,AutoViML/featurewiz,,hyperopt,https://github.com/AutoViML/featurewiz,https://github.com/AutoViML/featurewiz,Apache-2.0,2020-11-29 16:46:16.000000,2021-03-26 02:07:46.000000,2021-03-26 02:06:21.000000,15,1.0,,50,,Use advanced feature engineering strategies and select the best features from your data set fast with a single line of..,1.0,13,False,2021-03-25 14:45:32.000000,0.0.32,33.0,featurewiz,,,,,,,https://pypi.org/project/featurewiz,2021-03-26 02:07:46.000000,,1592.0,1592.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n831,surpriver,tradytics/surpriver,,financial-data,https://github.com/tradytics/surpriver,https://github.com/tradytics/surpriver,GPL-3.0,2020-08-30 07:56:22.000000,2020-11-13 00:48:16.000000,2020-09-21 04:32:05.000000,216,10.0,5.0,1189,64.0,Find big moving stocks before they move using machine learning and anomaly detection.,6.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n832,GraphVite,DeepGraphLearning/graphvite,,graph,https://github.com/DeepGraphLearning/graphvite,https://github.com/DeepGraphLearning/graphvite,Apache-2.0,2019-07-16 15:48:20.000000,2021-01-14 02:19:03.000000,2021-01-14 02:18:46.000000,119,28.0,55.0,882,15.0,GraphVite: A General and High-performance Graph Embedding System.,1.0,12,True,,,4.0,,milagraph/graphvite,,,,,,,,,,183.0,https://anaconda.org/milagraph/graphvite,2020-03-19 18:21:30.972000,3662.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n833,bias-detector,intuit/bias-detector,,interpretability,https://github.com/intuit/bias-detector,https://github.com/intuit/bias-detector,MIT,2021-02-02 16:58:52.000000,2021-02-14 12:06:08.000000,2021-02-14 12:06:02.000000,4,,,19,,Bias Detector is a python package for detecting bias in machine learning models.,3.0,12,False,2021-02-09 11:20:10.000000,0.0.11,10.0,bias-detector,,,,,,,https://pypi.org/project/bias-detector,2021-02-09 11:20:10.000000,,441.0,441.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n834,traintool,jrieke/traintool,,ml-experiments,https://github.com/jrieke/traintool,https://github.com/jrieke/traintool,Apache-2.0,2020-09-30 22:23:05.000000,2021-03-12 01:44:04.000000,2021-03-12 01:43:14.000000,1,,,9,122.0,Train off-the-shelf machine learning models in one line of code.,,12,False,2020-11-02 02:25:32.000000,0.0.3,3.0,traintool,,,,\"['pytorch', 'tensorflow', 'sklearn']\",,,https://pypi.org/project/traintool,2020-11-02 02:25:32.000000,,31.0,31.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n835,MedicalNet,Tencent/MedicalNet,,medical-data,https://github.com/Tencent/MedicalNet,https://github.com/Tencent/MedicalNet,MIT,2019-07-17 09:53:10.000000,2020-08-27 13:37:27.000000,2020-08-27 13:37:26.000000,296,45.0,14.0,1092,26.0,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,1.0,11,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n836,Devol,joeddav/devol,,hyperopt,https://github.com/joeddav/devol,https://github.com/joeddav/devol,MIT,2017-02-10 03:07:54.000000,2020-07-05 21:56:59.000000,2020-07-05 21:56:58.000000,109,7.0,20.0,929,116.0,Genetic neural architecture search with Keras.,18.0,11,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n837,PySparNN,facebookresearch/pysparnn,,nn-search,https://github.com/facebookresearch/pysparnn,https://github.com/facebookresearch/pysparnn,BSD-3-Clause,2016-03-28 20:43:42.000000,2020-10-02 06:01:01.000000,2018-01-31 16:50:23.000000,142,13.0,14.0,867,147.0,Approximate Nearest Neighbor Search for Sparse Data in Python!.,5.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n838,Hypertunity,gdikov/hypertunity,,hyperopt,https://github.com/gdikov/hypertunity,https://github.com/gdikov/hypertunity,Apache-2.0,2019-06-02 12:04:55.000000,2020-01-26 23:14:49.000000,2020-01-26 22:53:29.000000,9,,2.0,121,64.0,A toolset for black-box hyperparameter optimisation.,2.0,11,False,2020-01-26 23:08:16.000000,1.0.1,7.0,hypertunity,,,,,2.0,2.0,https://pypi.org/project/hypertunity,2020-01-26 23:08:16.000000,,74.0,74.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n839,traingenerator,jrieke/traingenerator,,others,https://github.com/jrieke/traingenerator,https://github.com/jrieke/traingenerator,MIT,2020-12-03 16:47:16.000000,2021-03-03 18:43:40.000000,2021-01-20 23:05:06.000000,129,9.0,3.0,969,,A web app to generate template code for machine learning.,3.0,10,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n840,Mozart,aashrafh/Mozart,,ocr,https://github.com/aashrafh/Mozart,https://github.com/aashrafh/Mozart,Apache-2.0,2020-12-14 11:49:14.000000,2021-04-04 17:30:24.000000,2021-04-04 17:30:24.000000,40,1.0,2.0,252,,An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.,5.0,10,True,,,,,,,,['sklearn'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n841,bodywork-core,bodywork-ml/bodywork-core,,data-pipelines,https://github.com/bodywork-ml/bodywork-core,https://github.com/bodywork-ml/bodywork-core,AGPL-3.0,2020-11-17 11:38:17.000000,2021-04-09 14:57:23.000000,2021-04-09 14:52:59.000000,10,,17.0,152,276.0,MLOps tool for deploying machine learning projects to Kubernetes.,4.0,10,False,,,,bodywork-core,,,,,,,https://pypi.org/project/bodywork-core,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n"
  },
  {
    "path": "history/2021-04-22_changes.md",
    "content": "## 📈 Trending Up\n\n_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._\n\n- <b><a href=\"https://github.com/plotly/dash\">dash</a></b> (🥇35 ·  ⭐ 14K · 📈) - Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/nltk/nltk\">nltk</a></b> (🥇35 ·  ⭐ 9.8K · 📈) - Suite of libraries and programs for symbolic and statistical natural.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/mozilla/DeepSpeech\">DeepSpeech</a></b> (🥇31 ·  ⭐ 17K · 📈) - DeepSpeech is an open source embedded (offline, on-.. <code><a href=\"http://bit.ly/3postzC\">MPL-2.0</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/lmcinnes/umap\">UMAP</a></b> (🥈31 ·  ⭐ 4.7K · 📈) - Uniform Manifold Approximation and Projection. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/Zulko/moviepy\">MoviePy</a></b> (🥈30 ·  ⭐ 7.5K · 📈) - Video editing with Python. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/pandas-profiling/pandas-profiling\">pandas-profiling</a></b> (🥈30 ·  ⭐ 7.2K · 📈) - Create HTML profiling reports from pandas DataFrame.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code><img src=\"https://git.io/JLy1S\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/deepmind/sonnet\">Sonnet</a></b> (🥈29 ·  ⭐ 8.8K · 📈) - TensorFlow-based neural network library. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/LuminosoInsight/python-ftfy\">ftfy</a></b> (🥈29 ·  ⭐ 2.9K · 📈) - Fixes mojibake and other glitches in Unicode text, after the fact. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/maxpumperla/hyperas\">Hyperas</a></b> (🥈25 ·  ⭐ 2.1K · 📈) - Keras + Hyperopt: A very simple wrapper for convenient.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/PaddlePaddle/PaddleDetection\">PaddleDetection</a></b> (🥉20 ·  ⭐ 2.5K · 📈) - Object detection and instance segmentation toolkit.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1M\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n\n## 📉 Trending Down\n\n_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._\n\n- <b><a href=\"https://github.com/tensorflow/tensorflow\">Tensorflow</a></b> (🥇37 ·  ⭐ 160K · 📉) - An Open Source Machine Learning Framework for Everyone. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/apache/arrow\">Arrow</a></b> (🥈35 ·  ⭐ 7.8K · 📉) - Apache Arrow is a cross-language development platform for in-.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/ray-project/ray\">Ray</a></b> (🥇32 ·  ⭐ 16K · 📉) - An open source framework that provides a simple, universal API for.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/keras-team/keras\">Keras</a></b> (🥈29 ·  ⭐ 51K · 📉) - Deep Learning for humans. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/facebookresearch/pytext\">PyText</a></b> (🥉25 ·  ⭐ 6.2K · 📉) - A natural language modeling framework based on PyTorch. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/hail-is/hail\">Hail</a></b> (🥈24 ·  ⭐ 720 · 📉) - Scalable genomic data analysis. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1N\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/microsoft/MMdnn\">mmdnn</a></b> (🥈23 ·  ⭐ 5.3K · 💤) - MMdnn is a set of tools to help users inter-operate among different deep.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/scikit-learn-contrib/metric-learn\">metric-learn</a></b> (🥉23 ·  ⭐ 1.1K · 📉) - Metric learning algorithms in Python. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/okfn/messytables\">messytables</a></b> (🥉23 ·  ⭐ 360 · 💀) - Tools for parsing messy tabular data. This is now superseded by.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/allenai/scispacy\">SciSpacy</a></b> (🥉22 ·  ⭐ 890 · 📉) - A full spaCy pipeline and models for scientific/biomedical.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n\n"
  },
  {
    "path": "history/2021-04-22_projects.csv",
    "content": ",name,github_id,resource,category,github_url,homepage,license,created_at,updated_at,last_commit_pushed_at,fork_count,open_issue_count,closed_issue_count,star_count,commit_count,description,contributor_count,projectrank,show,latest_stable_release_published_at,latest_stable_release_number,release_count,pypi_id,conda_id,labels,github_release_downloads,monthly_downloads,dependent_project_count,github_dependent_project_count,pypi_url,pypi_latest_release_published_at,pypi_dependent_project_count,pypi_monthly_downloads,conda_url,conda_latest_release_published_at,conda_total_downloads,projectrank_placing,docs_url,helm_id,dockerhub_id,dockerhub_url,dockerhub_latest_release_published_at,dockerhub_stars,dockerhub_pulls,trending,npm_id,npm_url,npm_latest_release_published_at,npm_dependent_project_count,npm_monthly_downloads,conda_dependent_project_count,brew_id,apt_id,yum_id,updated_github_id,snap_id,dnf_id,yay_id,maven_id,maven_url,maven_latest_release_published_at,maven_dependent_project_count,gitlab_id,gitlab_url\n0,ANN Benchmarks,erikbern/ann-benchmarks,True,nn-search,https://github.com/erikbern/ann-benchmarks,https://github.com/erikbern/ann-benchmarks,MIT,2015-05-28 13:21:43.000000,2021-04-16 15:35:36.000000,2021-04-06 16:22:36.000000,337,28.0,61.0,2175,1179.0,Benchmarks of approximate nearest neighbor libraries in Python.,54.0,0,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n1,best-of-web-python - Web Scraping,ml-tooling/best-of-web-python,True,web-scraping,https://github.com/ml-tooling/best-of-web-python,https://github.com/ml-tooling/best-of-web-python,CC-BY-SA-4.0,2021-01-05 13:09:27.000000,2021-04-22 15:13:39.000000,2021-04-15 17:30:29.000000,75,,2.0,1163,,Collection of web-scraping and crawling libraries.,6.0,0,True,2021-04-08 16:14:36.000000,2021.04.08,13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n2,best-of-python - DB Clients,ml-tooling/best-of-python,True,db-clients,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#database-clients,CC-BY-SA-4.0,2021-01-11 19:11:32.000000,2021-04-22 14:42:13.000000,2021-04-15 17:29:04.000000,115,,3.0,1568,,Collection of database clients for python.,5.0,0,True,2021-04-15 17:29:23.000000,2021.04.15,13.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n3,pandas,pandas-dev/pandas,,data-containers,https://github.com/pandas-dev/pandas,https://github.com/pandas-dev/pandas,BSD-3-Clause,2010-08-24 01:37:33.000000,2021-04-22 14:46:01.000000,2021-04-22 11:00:17.000000,12194,3717.0,16869.0,29426,26565.0,\"Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R..\",2660.0,43,True,2021-04-12 18:41:49.000000,1.2.4,91.0,pandas,conda-forge/pandas,['pandas'],103668.0,46337105.0,503921.0,427137.0,https://pypi.org/project/pandas,2021-04-12 18:43:31.000000,76784.0,46069401.0,https://anaconda.org/conda-forge/pandas,2021-04-13 16:22:06.030000,15724296.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n4,scipy,scipy/scipy,,others,https://github.com/scipy/scipy,https://github.com/scipy/scipy,BSD-3-Clause,2011-03-09 18:52:03.000000,2021-04-22 14:21:04.000000,2021-04-22 06:21:15.000000,3618,1612.0,5854.0,8145,25456.0,\"Ecosystem of open-source software for mathematics, science, and engineering.\",1150.0,42,True,2021-03-25 02:04:06.000000,1.6.2,61.0,scipy,conda-forge/scipy,,312791.0,29305132.0,418110.0,331248.0,https://pypi.org/project/scipy,2021-02-18 02:35:14.000000,86862.0,29063353.0,https://anaconda.org/conda-forge/scipy,2021-03-27 22:49:06.551000,13997571.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n5,PyTorch,pytorch/pytorch,,ml-frameworks,https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41.000000,2021-04-22 14:02:09.000000,2021-04-22 14:00:52.000000,12681,8648.0,13741.0,47740,35801.0,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,2621.0,41,True,2021-03-25 16:07:08.000000,1.8.1,32.0,torch,pytorch/pytorch,['pytorch'],,4142140.0,78838.0,72156.0,https://pypi.org/project/torch,2021-03-25 15:54:32.000000,6682.0,3880154.0,https://anaconda.org/pytorch/pytorch,2021-03-25 16:42:58.661000,10741465.0,1.0,https://pytorch.org/docs/stable/index.html,,,,,,,,,,,,,,,,,,,,,,,,,,\n6,Matplotlib,matplotlib/matplotlib,,data-viz,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,Python-2.0,2011-02-19 03:17:12.000000,2021-04-22 14:16:17.000000,2021-04-22 14:15:10.000000,5733,1702.0,6163.0,13520,38653.0,matplotlib: plotting with Python.,1224.0,41,True,2021-03-31 07:23:52.000000,3.4.1,66.0,matplotlib,conda-forge/matplotlib,,,19651416.0,436485.0,357381.0,https://pypi.org/project/matplotlib,2021-03-26 07:50:28.000000,79104.0,19521713.0,https://anaconda.org/conda-forge/matplotlib,2021-03-31 18:55:37.001000,8690106.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n7,Pillow,python-pillow/Pillow,,image,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000000,2021-04-22 14:01:41.000000,2021-04-22 14:01:41.000000,1621,214.0,1972.0,8442,11593.0,The friendly PIL fork (Python Imaging Library).,356.0,40,True,2021-04-01 20:55:51.000000,8.2.0,80.0,Pillow,conda-forge/pillow,,,32078406.0,557539.0,446113.0,https://pypi.org/project/Pillow,2021-04-01 20:53:21.000000,111426.0,31943135.0,https://anaconda.org/conda-forge/pillow,2021-04-08 13:38:34.408000,8116269.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n8,Celery,celery/celery,,data-pipelines,https://github.com/celery/celery,https://github.com/celery/celery,BSD-3-Clause,2009-04-24 11:31:24.000000,2021-04-22 15:15:50.000000,2021-04-22 15:09:56.000000,3974,497.0,3982.0,17119,11574.0,Asynchronous task queue/job queue based on distributed message passing.,1107.0,39,True,2021-04-02 04:55:05.000000,5.1.0b1,172.0,celery,conda-forge/celery,,,5000848.0,79936.0,51702.0,https://pypi.org/project/celery,2021-04-02 04:52:41.000000,28234.0,4993149.0,https://anaconda.org/conda-forge/celery,2021-03-24 04:34:11.646000,469690.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n9,PySpark,apache/spark,,ml-frameworks,https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08.000000,2021-04-22 14:02:58.000000,2021-04-22 13:10:39.000000,23545,218.0,,29444,29880.0,Apache Spark Python API.,2443.0,38,True,2021-02-19 18:08:00.000000,3.0.2,22.0,pyspark,conda-forge/pyspark,['spark'],,9724062.0,1343.0,583.0,https://pypi.org/project/pyspark,2021-02-19 18:08:00.000000,760.0,9703650.0,https://anaconda.org/conda-forge/pyspark,2021-03-04 09:44:05.675000,1000198.0,1.0,,stable/spark,,,,,,,,,,,,,,,,,,,,,,,,,\n10,numpy,numpy/numpy,,data-containers,https://github.com/numpy/numpy,https://github.com/numpy/numpy,BSD-3-Clause,2010-09-13 23:02:39.000000,2021-04-22 14:23:40.000000,2021-04-22 13:35:43.000000,5386,2271.0,7444.0,16922,,The fundamental package for scientific computing with Python.,1308.0,38,True,2021-03-27 23:33:19.000000,1.20.2,97.0,numpy,conda-forge/numpy,,331655.0,70723618.0,854276.0,684554.0,https://pypi.org/project/numpy,2021-03-27 22:16:26.000000,169722.0,70404421.0,https://anaconda.org/conda-forge/numpy,2021-03-28 21:35:26.037000,18463501.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n11,Tensorflow,tensorflow/tensorflow,,ml-frameworks,https://github.com/tensorflow/tensorflow,https://github.com/tensorflow/tensorflow,Apache-2.0,2015-11-07 01:19:20.000000,2021-04-22 13:55:05.988692,,84359,4031.0,,156399,,An Open Source Machine Learning Framework for Everyone.,783.0,37,True,2021-01-21 19:38:00.000000,2.4.1,117.0,tensorflow,conda-forge/tensorflow,['tensorflow'],,10589740.0,22524.0,,https://pypi.org/project/tensorflow,2021-04-01 23:34:05.000000,22524.0,9772868.0,https://anaconda.org/conda-forge/tensorflow,2021-04-12 19:23:10.836000,2489980.0,1.0,https://www.tensorflow.org/overview,,tensorflow/tensorflow,https://hub.docker.com/r/tensorflow/tensorflow,2021-04-22 13:55:05.988692,1888.0,50443447.0,-7.0,,,,,,,,,,,,,,,,,,,\n12,scikit-learn,scikit-learn/scikit-learn,,ml-frameworks,https://github.com/scikit-learn/scikit-learn,https://github.com/scikit-learn/scikit-learn,BSD-3-Clause,2010-08-17 09:43:38.000000,2021-04-22 14:00:00.000000,2021-04-22 13:26:04.000000,21271,2379.0,6837.0,45482,,scikit-learn: machine learning in Python.,2208.0,37,True,2021-01-19 18:10:37.000000,0.24.1,53.0,scikit-learn,conda-forge/scikit-learn,['sklearn'],683.0,21866355.0,250239.0,212351.0,https://pypi.org/project/scikit-learn,2021-01-19 18:06:50.000000,37888.0,21735110.0,https://anaconda.org/conda-forge/scikit-learn,2021-01-21 23:33:46.354000,7742836.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n13,XGBoost,dmlc/xgboost,,ml-frameworks,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000000,2021-04-22 14:01:59.000000,2021-04-21 20:48:32.000000,7942,278.0,3731.0,20892,5304.0,\"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..\",513.0,37,True,2021-04-20 00:37:45.000000,1.4.1,55.0,xgboost,conda-forge/xgboost,,2076.0,5196372.0,17667.0,16075.0,https://pypi.org/project/xgboost,2021-04-12 18:26:19.000000,1592.0,5164757.0,https://anaconda.org/conda-forge/xgboost,2021-03-09 14:27:32.491000,1547973.0,1.0,https://xgboost.readthedocs.io/en/latest/,,,,,,,,,,,,,,,,,,,,,,,,,,\n14,spaCy,explosion/spaCy,,nlp,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000000,2021-04-22 13:52:04.000000,2021-04-22 12:58:29.000000,3366,107.0,4476.0,20241,14461.0,Industrial-strength Natural Language Processing (NLP) in Python.,579.0,37,True,2021-03-10 11:33:30.000000,3.0.5,176.0,spacy,conda-forge/spacy,,3003.0,2071742.0,27001.0,23935.0,https://pypi.org/project/spacy,2021-03-10 11:33:30.000000,3066.0,2037037.0,https://anaconda.org/conda-forge/spacy,2021-03-11 13:42:03.785000,1732544.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n15,Faker,joke2k/faker,,data-loading,https://github.com/joke2k/faker,https://github.com/joke2k/faker,MIT,2012-11-12 23:00:09.000000,2021-04-22 06:28:12.000000,2021-04-19 16:42:38.000000,1404,142.0,361.0,12418,2618.0,Faker is a Python package that generates fake data for you.,398.0,37,True,2021-04-13 22:07:27.000000,8.1.0,134.0,Faker,conda-forge/faker,,,4108968.0,30546.0,25834.0,https://pypi.org/project/Faker,2021-04-05 18:17:51.000000,4712.0,4100546.0,https://anaconda.org/conda-forge/faker,2021-04-14 00:47:35.172000,412725.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n16,Seaborn,mwaskom/seaborn,,data-viz,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000000,2021-04-19 04:32:07.000000,2021-04-17 12:29:05.000000,1383,98.0,1736.0,8339,2765.0,Statistical data visualization using matplotlib.,151.0,37,True,2021-03-29 17:36:25.000000,joss_paper,23.0,seaborn,conda-forge/seaborn,,160.0,4965550.0,103925.0,91139.0,https://pypi.org/project/seaborn,2020-12-20 20:53:25.000000,12786.0,4925045.0,https://anaconda.org/conda-forge/seaborn,2021-01-28 11:50:33.609000,2268269.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n17,transformers,huggingface/transformers,,nlp,https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000000,2021-04-22 14:20:30.000000,2021-04-22 14:10:16.000000,10575,720.0,5916.0,45011,7033.0,Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.,853.0,36,True,2021-04-13 15:25:42.000000,4.5.1,56.0,transformers,conda-forge/transformers,\"['pytorch', 'tensorflow']\",1294.0,1894314.0,10023.0,9895.0,https://pypi.org/project/transformers,2021-04-13 15:21:35.000000,128.0,1892271.0,https://anaconda.org/conda-forge/transformers,2021-04-14 06:06:28.483000,35994.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n18,Airflow,apache/airflow,,data-pipelines,https://github.com/apache/airflow,https://github.com/apache/airflow,Apache-2.0,2015-04-13 18:04:58.000000,2021-04-22 15:03:16.000000,2021-04-22 14:28:03.000000,8352,956.0,2384.0,21456,12208.0,\"Platform to programmatically author, schedule, and monitor workflows.\",1843.0,36,True,2021-04-19 21:11:50.000000,2.0.2,75.0,apache-airflow,conda-forge/airflow,,115803.0,2048817.0,294.0,,https://pypi.org/project/apache-airflow,2021-04-19 20:59:24.000000,294.0,1803225.0,https://anaconda.org/conda-forge/airflow,2021-04-20 10:47:28.101000,307641.0,1.0,,stable/airflow,apache/airflow,https://hub.docker.com/r/apache/airflow,2021-04-21 11:54:16.208951,233.0,17088870.0,,,,,,,,,,,,,,,,,,,,\n19,LightGBM,microsoft/LightGBM,,ml-frameworks,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000000,2021-04-22 11:55:56.000000,2021-04-22 03:51:36.000000,3264,112.0,2102.0,12444,2465.0,\"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..\",221.0,36,True,2021-04-12 23:03:24.000000,3.2.1,25.0,lightgbm,conda-forge/lightgbm,,108041.0,3727278.0,7118.0,6562.0,https://pypi.org/project/lightgbm,2021-03-22 15:04:09.000000,556.0,3712611.0,https://anaconda.org/conda-forge/lightgbm,2021-04-20 13:04:15.819000,558784.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n20,gensim,RaRe-Technologies/gensim,,nlp,https://github.com/RaRe-Technologies/gensim,https://github.com/RaRe-Technologies/gensim,LGPL-2.1,2011-02-10 07:43:04.000000,2021-04-22 10:21:46.000000,2021-04-19 12:55:19.000000,3950,358.0,1289.0,11975,4144.0,Topic Modelling for Humans.,393.0,36,True,2021-04-01 14:19:26.000000,4.0.1,85.0,gensim,conda-forge/gensim,,3304.0,8558921.0,27382.0,22640.0,https://pypi.org/project/gensim,2021-03-25 13:43:34.000000,4742.0,8544095.0,https://anaconda.org/conda-forge/gensim,2021-04-02 10:56:03.560000,635380.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n21,Plotly,plotly/plotly.py,,data-viz,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000000,2021-04-22 14:35:45.000000,2021-04-22 13:41:23.000000,1791,865.0,1072.0,9346,4942.0,The interactive graphing library for Python (includes Plotly Express).,166.0,36,True,2021-01-12 17:01:21.000000,4.14.3,265.0,plotly,conda-forge/plotly,,,5449537.0,4991.0,5.0,https://pypi.org/project/plotly,2021-01-12 16:12:40.000000,4982.0,5271263.0,https://anaconda.org/conda-forge/plotly,2021-01-12 17:11:42.117000,1328653.0,1.0,,,,,,,,,plotlywidget,https://www.npmjs.com/package/plotlywidget,2021-01-12 16:09:46.133000,4.0,154549.0,,,,,,,,,,,,,,\n22,torchvision,pytorch/vision,,image,https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000000,2021-04-22 13:43:37.000000,2021-04-22 07:22:45.000000,4520,442.0,1221.0,8895,1638.0,\"Datasets, Transforms and Models specific to Computer Vision.\",380.0,36,True,2021-03-25 17:51:25.000000,0.9.1,23.0,torchvision,conda-forge/torchvision,['pytorch'],,1426633.0,52163.0,47551.0,https://pypi.org/project/torchvision,2021-03-25 16:28:06.000000,4612.0,1425346.0,https://anaconda.org/conda-forge/torchvision,2021-04-22 07:21:30.407000,51517.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n23,Tensorboard,tensorflow/tensorboard,,ml-experiments,https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000000,2021-04-22 13:03:59.000000,2021-04-21 21:45:40.000000,1379,550.0,961.0,5262,4442.0,TensorFlow's Visualization Toolkit.,257.0,36,True,2021-04-19 18:42:18.000000,2.5.0,37.0,tensorboard,conda-forge/tensorboard,['tensorflow'],,8974977.0,64839.0,61225.0,https://pypi.org/project/tensorboard,2021-01-14 20:49:19.000000,3614.0,8928705.0,https://anaconda.org/conda-forge/tensorboard,2021-01-15 08:30:57.960000,1897186.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n24,joblib,joblib/joblib,,data-pipelines,https://github.com/joblib/joblib,https://github.com/joblib/joblib,BSD-3-Clause,2010-05-07 06:48:26.000000,2021-04-09 10:22:50.000000,2021-04-02 12:08:27.000000,286,291.0,358.0,2413,1370.0,Computing with Python functions.,99.0,36,True,2021-02-09 16:46:29.000000,1.0.1,100.0,joblib,conda-forge/joblib,,,28725211.0,102234.0,95624.0,https://pypi.org/project/joblib,2021-02-09 16:46:29.000000,6610.0,28657986.0,https://anaconda.org/conda-forge/joblib,2021-02-09 19:26:28.194000,3831873.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n25,h5py,h5py/h5py,,data-containers,https://github.com/h5py/h5py,https://github.com/h5py/h5py,BSD-3-Clause,2012-09-21 00:40:02.000000,2021-04-20 08:28:00.000000,2021-04-20 08:25:11.000000,399,217.0,980.0,1509,3620.0,HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.,162.0,36,True,2021-03-05 10:04:46.000000,3.2.1,27.0,h5py,conda-forge/h5py,,1022.0,8928842.0,134115.0,111179.0,https://pypi.org/project/h5py,2021-03-05 10:24:13.000000,22936.0,8846473.0,https://anaconda.org/conda-forge/h5py,2021-04-16 22:09:04.226000,5023304.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n26,OpenAI Gym,openai/gym,,reinforcement-learning,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16.000000,2021-04-18 17:02:30.000000,2021-04-06 15:18:55.000000,6822,284.0,1068.0,24005,1244.0,A toolkit for developing and comparing reinforcement learning algorithms.,275.0,35,True,2020-12-19 00:29:36.000000,0.18.0,92.0,gym,,,,428854.0,23119.0,19557.0,https://pypi.org/project/gym,2020-12-19 00:29:36.000000,3562.0,428854.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n27,dash,plotly/dash,,data-viz,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000000,2021-04-10 06:31:33.446000,2021-04-08 21:29:36.000000,1453,418.0,571.0,14369,3544.0,\"Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.\",74.0,35,True,2021-04-08 22:35:48.000000,1.20.0,137.0,dash,conda-forge/dash,,,449792.0,21141.0,19533.0,https://pypi.org/project/dash,2021-01-19 23:50:28.000000,1608.0,442886.0,https://anaconda.org/conda-forge/dash,2021-04-10 06:31:33.446000,241741.0,1.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,\n28,nltk,nltk/nltk,,nlp,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58.000000,2021-04-20 15:34:03.018000,2021-04-20 04:49:36.000000,2467,235.0,1243.0,9809,,Suite of libraries and programs for symbolic and statistical natural language processing for English.,394.0,35,True,2021-04-07 21:36:50.000000,3.6.1,41.0,nltk,conda-forge/nltk,,,13537885.0,117919.0,96927.0,https://pypi.org/project/nltk,2021-04-07 21:36:50.000000,20992.0,13525856.0,https://anaconda.org/conda-forge/nltk,2021-04-20 15:34:03.018000,673677.0,1.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,\n29,networkx,networkx/networkx,,graph,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44.000000,2021-04-21 11:33:19.000000,2021-04-21 10:35:02.000000,2286,286.0,2333.0,8962,,Network Analysis in Python.,507.0,35,True,2021-04-03 22:22:02.000000,2.5.1,53.0,networkx,conda-forge/networkx,,51.0,12784468.0,93124.0,72306.0,https://pypi.org/project/networkx,2021-04-03 22:22:02.000000,20818.0,12720601.0,https://anaconda.org/conda-forge/networkx,2021-04-04 01:32:23.917000,3448842.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n30,SymPy,sympy/sympy,,others,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000000,2021-04-22 15:11:18.000000,2021-04-22 13:18:53.000000,3371,4150.0,7274.0,8020,46675.0,A computer algebra system written in pure Python.,1056.0,35,True,2021-04-09 22:38:24.000000,sympy-1.8,37.0,sympy,conda-forge/sympy,,421739.0,1012375.0,37382.0,30960.0,https://pypi.org/project/sympy,2021-04-09 22:41:01.000000,6422.0,983825.0,https://anaconda.org/conda-forge/sympy,2021-04-10 01:00:41.286000,1416946.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n31,Arrow,apache/arrow,,data-containers,https://github.com/apache/arrow,https://github.com/apache/arrow,Apache-2.0,2016-02-17 08:00:23.000000,2021-04-22 14:45:34.000000,2021-04-22 11:08:48.000000,1880,139.0,584.0,7773,9088.0,Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-..,670.0,35,True,2021-01-26 01:05:45.000000,3.0.0,30.0,pyarrow,conda-forge/arrow,,,23179514.0,1024.0,38.0,https://pypi.org/project/pyarrow,2021-01-26 01:05:45.000000,986.0,23170322.0,https://anaconda.org/conda-forge/arrow,2021-03-07 23:47:25.555000,542328.0,2.0,,,,,,,,-1.0,,,,,,,,,,,,,,,,,,,\n32,MXNet,apache/incubator-mxnet,,ml-frameworks,https://github.com/apache/incubator-mxnet,https://github.com/apache/incubator-mxnet,Apache-2.0,2015-04-30 16:21:15.000000,2021-04-22 13:39:37.000000,2021-04-22 01:29:16.000000,6827,1888.0,7599.0,19417,11575.0,\"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..\",956.0,34,True,2021-03-21 14:56:00.000000,1.8.0,980.0,mxnet,mxnet,['mxnet'],23730.0,245911.0,2411.0,1967.0,https://pypi.org/project/mxnet,2021-03-31 20:05:38.000000,444.0,245358.0,https://anaconda.org/anaconda/mxnet,2020-02-29 00:58:31.007000,6065.0,2.0,,,,,,,,,,,,,,0.0,,,,,,,,,,,,,\n33,PyFlink,apache/flink,,ml-frameworks,https://github.com/apache/flink,https://github.com/apache/flink,Apache-2.0,2014-06-07 07:00:10.000000,2021-04-22 13:54:21.000000,2021-04-22 13:23:56.000000,8682,499.0,,16048,26709.0,Apache Flink Python API.,1244.0,34,True,2021-01-15 01:51:44.000000,1.12.1,13.0,apache-flink,,,,9281.0,276.0,276.0,https://pypi.org/project/apache-flink,2021-01-15 01:51:44.000000,0.0,9281.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n34,luigi,spotify/luigi,,data-pipelines,https://github.com/spotify/luigi,https://github.com/spotify/luigi,Apache-2.0,2012-09-20 15:06:38.000000,2021-04-22 13:15:18.000000,2021-04-16 07:52:49.000000,2246,73.0,842.0,14460,3993.0,\"Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution,..\",556.0,34,True,2021-04-16 09:12:59.000000,3.0.3,72.0,luigi,luigi,,,860134.0,2069.0,1393.0,https://pypi.org/project/luigi,2020-09-23 11:57:12.000000,676.0,860022.0,https://anaconda.org/anaconda/luigi,2021-04-17 18:49:18.708000,6964.0,1.0,,stable/luigi,,,,,,,,,,,,0.0,,,,,,,,,,,,,\n35,shap,slundberg/shap,,interpretability,https://github.com/slundberg/shap,https://github.com/slundberg/shap,MIT,2016-11-22 19:17:08.000000,2021-04-20 15:09:13.000000,2021-04-06 00:10:26.000000,1801,1013.0,518.0,12400,1927.0,A game theoretic approach to explain the output of any machine learning model.,156.0,34,True,2021-03-03 18:38:33.000000,0.39.0,93.0,shap,conda-forge/shap,,,2724288.0,2509.0,2373.0,https://pypi.org/project/shap,2021-01-15 21:02:34.000000,136.0,2710077.0,https://anaconda.org/conda-forge/shap,2020-12-16 19:26:39.477000,454769.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n36,onnx,onnx/onnx,,model-serialisation,https://github.com/onnx/onnx,https://github.com/onnx/onnx,Apache-2.0,2017-09-07 04:53:45.000000,2021-04-22 08:36:54.000000,2021-04-21 23:22:13.000000,1893,540.0,1018.0,10198,1727.0,Open standard for machine learning interoperability.,195.0,34,True,2021-04-19 19:22:57.000000,1.9.0,21.0,onnx,conda-forge/onnx,,11602.0,1808630.0,3203.0,2907.0,https://pypi.org/project/onnx,2021-04-19 19:22:57.000000,296.0,1802974.0,https://anaconda.org/conda-forge/onnx,2021-04-19 16:03:25.171000,220580.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n37,Theano,Theano/Theano,,ml-frameworks,https://github.com/Theano/Theano,https://github.com/Theano/Theano,BSD-3-Clause,2011-08-10 03:48:06.000000,2021-04-13 19:05:58.000000,2021-04-13 19:05:58.000000,2517,673.0,2083.0,9396,28126.0,\"Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-..\",384.0,34,True,2020-07-27 16:13:54.000000,1.0.5,45.0,theano,conda-forge/theano,,,300822.0,16205.0,10731.0,https://pypi.org/project/theano,2020-07-27 16:13:54.000000,5474.0,275195.0,https://anaconda.org/conda-forge/theano,2021-01-21 21:14:21.756000,1460763.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n38,dask,dask/dask,,distributed-ml,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000000,2021-04-22 15:06:08.000000,2021-04-22 15:06:08.000000,1257,736.0,2986.0,8236,,Parallel computing with task scheduling.,443.0,34,True,2021-04-02 16:16:30.000000,2021.4.0,115.0,dask,conda-forge/dask,,,4227995.0,30777.0,26861.0,https://pypi.org/project/dask,2021-04-02 16:16:30.000000,3916.0,4172412.0,https://anaconda.org/conda-forge/dask,2021-04-02 22:33:17.507000,3279425.0,1.0,,stable/dask,,,,,,,,,,,,,,,,,,,,,,,,,\n39,rq,rq/rq,,data-pipelines,https://github.com/rq/rq,https://github.com/rq/rq,BSD-3-Clause,2011-11-14 10:53:48.000000,2021-04-20 09:05:26.000000,2021-04-20 09:05:26.000000,1214,144.0,697.0,7660,1562.0,Simple job queues for Python.,234.0,34,True,2020-11-29 09:48:18.000000,1.7.0,63.0,rq,conda-forge/rq,,,502399.0,11100.0,7776.0,https://pypi.org/project/rq,2020-11-29 09:47:08.000000,3324.0,501525.0,https://anaconda.org/conda-forge/rq,2021-03-31 04:46:34.734000,49821.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n40,scikit-image,scikit-image/scikit-image,,image,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,BSD-2-Clause,2011-07-07 22:07:20.000000,2021-04-22 13:37:12.000000,2021-04-22 06:49:02.000000,1776,674.0,1519.0,4300,,Image processing in Python.,485.0,34,True,2021-01-19 08:17:34.000000,0.18.1,35.0,scikit-image,conda-forge/scikit-image,,,5033656.0,81053.0,66279.0,https://pypi.org/project/scikit-image,2020-12-23 06:36:46.000000,14774.0,4993098.0,https://anaconda.org/conda-forge/scikit-image,2021-01-21 20:53:16.554000,2392928.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n41,TensorFlow Datasets,tensorflow/datasets,,data-loading,https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000000,2021-04-21 19:41:25.000000,2021-04-21 19:41:17.000000,995,438.0,561.0,2780,3917.0,\"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...\",200.0,34,True,2021-01-07 09:50:58.000000,4.2.0,21.0,tensorflow-datasets,,['tensorflow'],,5105721.0,4470.0,4368.0,https://pypi.org/project/tensorflow-datasets,2021-01-07 09:50:58.000000,102.0,5105721.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n42,Shapely,Toblerity/Shapely,,geospatial-data,https://github.com/Toblerity/Shapely,https://github.com/Toblerity/Shapely,BSD-3-Clause,2011-12-31 19:43:11.000000,2021-04-21 22:23:35.000000,2021-04-14 02:40:33.000000,397,124.0,612.0,2233,1511.0,Manipulation and analysis of geometric objects.,114.0,34,True,2020-12-15 18:27:01.000000,1.7.1,100.0,shapely,conda-forge/shapely,,,4029032.0,23468.0,18010.0,https://pypi.org/project/shapely,2021-03-04 00:27:13.000000,5458.0,3994595.0,https://anaconda.org/conda-forge/shapely,2021-03-05 11:50:12.482000,2272871.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n43,Bokeh,bokeh/bokeh,,data-viz,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000000,2021-04-22 05:45:49.000000,2021-04-20 05:35:04.000000,3689,668.0,5859.0,14999,,\"Interactive Data Visualization in the browser, from Python.\",557.0,33,True,2021-02-24 19:44:29.000000,2.3.0,93.0,bokeh,conda-forge/bokeh,,,1538807.0,38655.0,32783.0,https://pypi.org/project/bokeh,2021-04-06 23:56:28.000000,5872.0,1450225.0,https://anaconda.org/conda-forge/bokeh,2021-04-08 12:17:48.640000,4251980.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n44,pytorch-lightning,PyTorchLightning/pytorch-lightning,,ml-frameworks,https://github.com/PyTorchLightning/pytorch-lightning,https://github.com/PyTorchLightning/pytorch-lightning,Apache-2.0,2019-03-31 00:45:57.000000,2021-04-22 14:05:30.000000,2021-04-22 14:05:28.000000,1525,316.0,2933.0,13129,4759.0,\"The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.\",435.0,33,True,2021-04-14 20:08:12.000000,1.2.8,163.0,pytorch-lightning,conda-forge/pytorch-lightning,['pytorch'],851.0,351716.0,2680.0,2666.0,https://pypi.org/project/pytorch-lightning,2021-04-14 20:08:12.000000,14.0,340554.0,https://anaconda.org/conda-forge/pytorch-lightning,2021-04-14 23:09:56.901000,111225.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n45,mlflow,mlflow/mlflow,,ml-experiments,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000000,2021-04-22 14:30:38.000000,2021-04-22 04:56:42.000000,1952,751.0,1065.0,8933,1962.0,Open source platform for the machine learning lifecycle.,286.0,33,True,2021-03-26 20:13:29.000000,1.15.0,43.0,mlflow,conda-forge/mlflow,,,4812337.0,154.0,,https://pypi.org/project/mlflow,2021-03-26 19:41:04.000000,154.0,4800556.0,https://anaconda.org/conda-forge/mlflow,2021-03-30 16:27:28.350000,282754.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n46,pydeck,visgl/deck.gl,,geospatial-data,https://github.com/visgl/deck.gl,https://github.com/visgl/deck.gl,MIT,2015-12-15 08:38:29.000000,2021-04-22 07:41:32.000000,2021-04-20 18:15:39.000000,1534,84.0,2019.0,8615,3603.0,WebGL2 powered geospatial visualization layers.,158.0,33,True,2021-04-13 02:26:45.000000,0.6.2,463.0,pydeck,conda-forge/pydeck,['jupyter'],,438645.0,2094.0,1532.0,https://pypi.org/project/pydeck,2021-04-13 02:26:45.000000,2.0,217957.0,https://anaconda.org/conda-forge/pydeck,2021-04-13 20:41:22.066000,26081.0,1.0,,,,,,,,,deck.gl,https://www.npmjs.com/package/deck.gl,2021-03-22 21:45:34.518000,560.0,218826.0,,,,,,,,,,,,,,\n47,StatsModels,statsmodels/statsmodels,,ml-frameworks,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000000,2021-04-22 13:50:39.000000,2021-04-14 11:28:41.000000,2202,2088.0,2309.0,6239,,Statsmodels: statistical modeling and econometrics in Python.,310.0,33,True,2021-02-02 11:08:49.000000,0.12.2,25.0,statsmodels,conda-forge/statsmodels,,25.0,4173733.0,47518.0,40862.0,https://pypi.org/project/statsmodels,2021-02-02 11:08:49.000000,6656.0,4107541.0,https://anaconda.org/conda-forge/statsmodels,2021-02-15 17:38:00.380000,3839157.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n48,geopy,geopy/geopy,,geospatial-data,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000000,2021-04-17 15:53:21.000000,2021-04-17 15:44:06.000000,535,25.0,223.0,3289,1061.0,Geocoding library for Python.,122.0,33,True,2020-12-27 13:15:23.000000,2.1.0,57.0,geopy,conda-forge/geopy,,,5350936.0,26625.0,19381.0,https://pypi.org/project/geopy,2020-12-27 13:12:21.000000,7244.0,5342157.0,https://anaconda.org/conda-forge/geopy,2020-12-27 14:22:55.127000,535519.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n49,xarray,pydata/xarray,,data-containers,https://github.com/pydata/xarray,https://github.com/pydata/xarray,Apache-2.0,2013-09-30 17:21:10.000000,2021-04-22 14:13:34.000000,2021-04-22 07:16:16.000000,654,818.0,2002.0,2002,3621.0,N-D labeled arrays and datasets in Python.,310.0,33,True,2021-02-26 06:45:07.000000,0.17.0,56.0,xarray,conda-forge/xarray,,,565110.0,7008.0,5876.0,https://pypi.org/project/xarray,2021-02-26 06:36:47.000000,1132.0,520537.0,https://anaconda.org/conda-forge/xarray,2021-02-26 13:38:06.610000,2718995.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n50,xlrd,python-excel/xlrd,,data-loading,https://github.com/python-excel/xlrd,https://github.com/python-excel/xlrd,BSD-3-Clause,2012-03-07 04:50:48.000000,2021-01-09 20:35:27.639000,2020-12-12 15:24:25.000000,414,3.0,,1883,502.0,Please use openpyxl where you can...,50.0,33,True,2020-12-11 10:14:20.000000,2.0.1,24.0,xlrd,conda-forge/xlrd,,,9439682.0,82963.0,69389.0,https://pypi.org/project/xlrd,2020-12-11 10:14:20.000000,13574.0,9412309.0,https://anaconda.org/conda-forge/xlrd,2021-01-09 20:35:27.639000,1341296.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n51,Fastai,fastai/fastai,,ml-frameworks,https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000000,2021-04-22 05:01:52.000000,2021-04-22 05:01:52.000000,6982,92.0,1339.0,20759,1719.0,The fastai deep learning library.,472.0,32,True,2021-03-31 06:04:10.000000,2.3.0,118.0,fastai,,['pytorch'],,200974.0,368.0,,https://pypi.org/project/fastai,2021-02-22 04:01:38.000000,368.0,200974.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n52,Ray,ray-project/ray,,distributed-ml,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000000,2021-04-22 14:57:02.000000,2021-04-22 09:29:42.000000,2514,1466.0,5122.0,15675,7872.0,\"An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged..\",470.0,32,True,2021-02-13 01:42:06.000000,ray-1.2.0,44.0,ray,,,,390929.0,2100.0,1940.0,https://pypi.org/project/ray,2021-02-13 01:38:33.000000,160.0,390929.0,,,,1.0,,,,,,,,-1.0,,,,,,,,,,,,,,,,,,,\n53,jax,google/jax,,ml-frameworks,https://github.com/google/jax,https://github.com/google/jax,Apache-2.0,2018-10-25 21:25:02.000000,2021-04-22 13:34:59.000000,2021-04-22 09:47:07.000000,1095,782.0,1562.0,12439,7743.0,\"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.\",277.0,32,True,2021-04-01 17:46:34.000000,0.2.12,91.0,jax,conda-forge/jaxlib,,,202926.0,1477.0,1431.0,https://pypi.org/project/jax,2021-04-01 17:46:34.000000,46.0,197840.0,https://anaconda.org/conda-forge/jaxlib,2021-04-08 04:28:56.615000,106824.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n54,tensor2tensor,tensorflow/tensor2tensor,,tensorflow-utils,https://github.com/tensorflow/tensor2tensor,https://github.com/tensorflow/tensor2tensor,Apache-2.0,2017-06-15 16:57:39.000000,2021-04-12 06:43:52.000000,2021-03-05 08:15:30.000000,2848,556.0,664.0,11195,4348.0,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,231.0,32,True,2020-06-17 16:15:36.000000,1.15.7,79.0,tensor2tensor,,['tensorflow'],,86019.0,1123.0,959.0,https://pypi.org/project/tensor2tensor,2020-06-17 16:15:36.000000,164.0,86019.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n55,imgaug,aleju/imgaug,,image,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33.000000,2021-04-15 01:52:46.000000,2020-06-01 14:58:26.000000,2017,228.0,211.0,10996,2913.0,Image augmentation for machine learning experiments.,36.0,32,True,2020-02-06 06:18:40.000000,0.4.0,11.0,imgaug,conda-forge/imgaug,,,253176.0,6551.0,5995.0,https://pypi.org/project/imgaug,2020-02-05 20:54:22.000000,556.0,251434.0,https://anaconda.org/conda-forge/imgaug,2020-02-14 16:06:53.525000,38343.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n56,dlib,davisking/dlib,,ml-frameworks,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000000,2021-04-22 01:57:35.000000,2021-04-22 01:57:35.000000,2903,58.0,1847.0,10090,7931.0,A toolkit for making real world machine learning and data analysis applications in C++.,165.0,32,False,2021-03-28 13:36:18.000000,19.22,28.0,dlib,conda-forge/dlib,,24500.0,123743.0,10680.0,9322.0,https://pypi.org/project/dlib,2020-12-04 19:23:04.000000,1358.0,117951.0,https://anaconda.org/conda-forge/dlib,2021-04-03 09:47:47.788000,299351.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n57,AllenNLP,allenai/allennlp,,nlp,https://github.com/allenai/allennlp,https://github.com/allenai/allennlp,Apache-2.0,2017-05-15 15:52:41.000000,2021-04-22 00:06:04.000000,2021-04-20 22:34:51.000000,2032,109.0,2231.0,9942,2357.0,\"An open-source NLP research library, built on PyTorch.\",239.0,32,True,2021-04-20 21:46:17.000000,2.3.1,188.0,allennlp,,['pytorch'],37.0,41190.0,1831.0,1597.0,https://pypi.org/project/allennlp,2021-04-14 23:01:45.000000,234.0,41190.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n58,PyMC3,pymc-devs/pymc3,,probabilistics,https://github.com/pymc-devs/pymc3,https://github.com/pymc-devs/pymc3,Apache-2.0,2009-05-05 09:43:50.000000,2021-04-22 15:16:59.000000,2021-04-05 13:26:07.000000,1371,193.0,2038.0,5702,7691.0,Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara.,312.0,32,True,2021-03-14 22:31:10.000000,3.11.2,33.0,pymc3,conda-forge/pymc3,,153.0,214546.0,2622.0,2336.0,https://pypi.org/project/pymc3,2021-03-14 22:31:10.000000,286.0,209527.0,https://anaconda.org/conda-forge/pymc3,2021-03-15 13:12:28.868000,270996.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n59,folium,python-visualization/folium,,geospatial-data,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000000,2021-03-17 20:18:35.000000,2021-03-09 08:53:19.000000,1944,159.0,695.0,5230,1474.0,Python Data. Leaflet.js Maps.,121.0,32,True,2021-01-18 17:29:40.000000,0.12.1,25.0,folium,conda-forge/folium,,,430590.0,10478.0,9510.0,https://pypi.org/project/folium,2021-01-18 17:29:40.000000,968.0,424829.0,https://anaconda.org/conda-forge/folium,2021-03-12 17:41:57.124000,351455.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n60,CuPy,cupy/cupy,,gpu-utilities,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000000,2021-04-22 09:23:55.000000,2021-04-22 06:48:42.000000,456,332.0,1011.0,5031,21702.0,A NumPy-compatible array library accelerated by CUDA.,260.0,32,True,2021-04-22 05:59:48.000000,9.0.0,92.0,cupy,conda-forge/cupy,,13040.0,122704.0,909.0,717.0,https://pypi.org/project/cupy,2021-04-22 01:30:04.000000,192.0,92564.0,https://anaconda.org/conda-forge/cupy,2021-04-01 13:48:44.506000,520961.0,1.0,,,cupy/cupy,https://hub.docker.com/r/cupy/cupy,2021-04-22 07:00:43.262881,6.0,49750.0,,,,,,,,,,,,,,,,,,,,\n61,Beam,apache/beam,,data-pipelines,https://github.com/apache/beam,https://github.com/apache/beam,Apache-2.0,2016-02-02 08:00:06.000000,2021-04-22 14:54:11.000000,2021-04-22 10:46:38.000000,2964,152.0,,4737,31710.0,\"Unified programming model to define and execute data processing pipelines, including ETL, batch and stream processing.\",1045.0,32,True,2021-02-22 21:19:14.000000,2.28.0,32.0,apache-beam,,,,2311363.0,186.0,,https://pypi.org/project/apache-beam,2021-04-15 22:38:08.000000,186.0,2311363.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n62,xmltodict,martinblech/xmltodict,,data-loading,https://github.com/martinblech/xmltodict,https://github.com/martinblech/xmltodict,MIT,2012-04-17 14:38:21.000000,2021-02-08 17:46:25.000000,2020-04-26 05:15:03.000000,420,70.0,136.0,4354,205.0,Python module that makes working with XML feel like you are working with JSON.,41.0,32,True,2019-02-11 07:00:26.000000,0.12.0,27.0,xmltodict,conda-forge/xmltodict,,,8530378.0,32204.0,23970.0,https://pypi.org/project/xmltodict,2019-02-11 07:00:26.000000,8234.0,8515692.0,https://anaconda.org/conda-forge/xmltodict,2019-02-11 11:53:14.803000,822437.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n63,Tablib,jazzband/tablib,,data-loading,https://github.com/jazzband/tablib,https://github.com/jazzband/tablib,MIT,2011-03-28 02:36:50.000000,2021-03-01 12:38:44.000000,2021-03-01 12:38:44.000000,565,33.0,198.0,3895,1124.0,\"Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c.\",111.0,32,True,2020-12-05 14:56:28.000000,3.0.0,38.0,tablib,conda-forge/tablib,,,1075982.0,12378.0,10020.0,https://pypi.org/project/tablib,2020-12-05 14:56:28.000000,2358.0,1074839.0,https://anaconda.org/conda-forge/tablib,2020-12-05 16:40:48.469000,60599.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n64,tensorflow-probability,tensorflow/probability,,probabilistics,https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000000,2021-04-22 05:02:48.000000,2021-04-22 05:02:44.000000,881,457.0,565.0,3281,10481.0,Probabilistic reasoning and statistical analysis in TensorFlow.,408.0,32,True,2021-04-19 23:03:58.000000,0.12.2,36.0,tensorflow-probability,conda-forge/tensorflow-probability,['tensorflow'],,707785.0,253.0,1.0,https://pypi.org/project/tensorflow-probability,2020-12-29 17:46:08.000000,252.0,706477.0,https://anaconda.org/conda-forge/tensorflow-probability,2021-04-20 17:30:23.517000,34027.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n65,tensorflow-hub,tensorflow/hub,,tensorflow-utils,https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42.000000,2021-04-18 18:01:14.779000,2021-04-14 12:03:04.000000,1496,34.0,538.0,2787,874.0,A library for transfer learning by reusing parts of TensorFlow models.,69.0,32,True,2021-04-14 13:17:26.000000,0.12.0,15.0,tensorflow-hub,conda-forge/tensorflow-hub,['tensorflow'],,1601825.0,6557.0,6243.0,https://pypi.org/project/tensorflow-hub,2021-04-14 12:54:13.000000,314.0,1600306.0,https://anaconda.org/conda-forge/tensorflow-hub,2021-04-18 18:01:14.779000,51674.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n66,GeoPandas,geopandas/geopandas,,geospatial-data,https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000000,2021-04-22 10:05:21.000000,2021-04-22 10:05:21.000000,560,302.0,726.0,2578,1377.0,Python tools for geographic data.,136.0,32,True,2021-02-28 21:10:46.000000,0.9.0,37.0,geopandas,conda-forge/geopandas,['pandas'],985.0,1019534.0,9239.0,8073.0,https://pypi.org/project/geopandas,2021-02-28 21:10:43.000000,1166.0,1003958.0,https://anaconda.org/conda-forge/geopandas,2021-03-01 09:07:56.799000,949139.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n67,Thinc,explosion/thinc,,ml-frameworks,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59.000000,2021-04-21 13:21:39.000000,2021-04-20 08:27:03.000000,205,14.0,90.0,2267,4922.0,\"A refreshing functional take on deep learning, compatible with your favorite libraries.\",36.0,32,True,2021-04-19 13:57:59.000000,8.0.3,189.0,thinc,conda-forge/thinc,,,1926986.0,13745.0,12607.0,https://pypi.org/project/thinc,2021-03-09 12:42:58.000000,1138.0,1904392.0,https://anaconda.org/conda-forge/thinc,2021-04-20 07:02:55.474000,1129704.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n68,python-magic,ahupp/python-magic,,data-loading,https://github.com/ahupp/python-magic,https://github.com/ahupp/python-magic,MIT,2010-03-31 22:40:33.000000,2021-04-16 19:01:27.000000,2021-04-16 19:01:27.000000,218,28.0,133.0,1874,280.0,A python wrapper for libmagic.,49.0,32,True,2021-02-17 06:19:13.000000,0.4.22,22.0,python-magic,conda-forge/python-magic,,,2531120.0,18599.0,13467.0,https://pypi.org/project/python-magic,2021-02-17 06:19:13.000000,5132.0,2529343.0,https://anaconda.org/conda-forge/python-magic,2021-03-05 04:33:25.716000,85307.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n69,Rasterio,mapbox/rasterio,,geospatial-data,https://github.com/mapbox/rasterio,https://github.com/mapbox/rasterio,BSD-3-Clause,2013-11-04 16:36:27.000000,2021-04-21 14:48:36.000000,2021-04-20 16:07:54.000000,399,139.0,1237.0,1473,3301.0,Rasterio reads and writes geospatial raster datasets.,107.0,32,True,2021-04-07 12:41:17.000000,1.2.2,123.0,rasterio,conda-forge/rasterio,,705.0,455607.0,3907.0,3057.0,https://pypi.org/project/rasterio,2021-04-07 12:41:17.000000,850.0,439270.0,https://anaconda.org/conda-forge/rasterio,2021-04-07 07:47:55.368000,995954.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n70,TF Addons,tensorflow/addons,,tensorflow-utils,https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17.000000,2021-04-19 06:09:41.000000,2021-04-18 14:43:16.000000,421,172.0,644.0,1259,1352.0,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,157.0,32,True,2021-01-30 13:59:33.000000,0.12.1,25.0,tensorflow-addons,,['tensorflow'],,981780.0,2801.0,2783.0,https://pypi.org/project/tensorflow-addons,2021-01-30 13:59:33.000000,18.0,981780.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n71,imageio,imageio/imageio,,image,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000000,2021-04-15 17:20:47.000000,2021-04-07 11:44:00.000000,175,70.0,282.0,862,1145.0,Python library for reading and writing image data.,76.0,32,True,2020-07-10 07:45:22.000000,2.9.0,31.0,imageio,conda-forge/imageio,,,5324571.0,43766.0,39928.0,https://pypi.org/project/imageio,2020-07-06 13:20:41.000000,3838.0,5287606.0,https://anaconda.org/conda-forge/imageio,2020-07-06 14:13:25.518000,1885226.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n72,DeepSpeech,mozilla/DeepSpeech,,audio,https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53.000000,2021-04-22 11:39:19.000000,2021-04-16 18:52:55.000000,3125,103.0,1892.0,17141,3447.0,\"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..\",161.0,31,True,2020-12-10 17:22:09.000000,0.9.3,100.0,deepspeech,,['tensorflow'],518040.0,42674.0,516.0,458.0,https://pypi.org/project/deepspeech,2020-12-19 10:05:12.000000,58.0,25964.0,,,,1.0,,,,,,,,5.0,,,,,,,,,,,,,,,,,,,\n73,PaddlePaddle,PaddlePaddle/Paddle,,ml-frameworks,https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000000,2021-04-22 14:03:12.000000,2021-04-22 11:45:07.000000,3678,2551.0,10692.0,14957,15069.0,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,529.0,31,True,2021-04-16 06:47:11.000000,2.0.2,44.0,paddlepaddle,,['paddle'],15273.0,14775.0,54.0,38.0,https://pypi.org/project/paddlepaddle,2021-03-05 07:28:12.000000,16.0,14503.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n74,fairseq,pytorch/fairseq,,nlp,https://github.com/pytorch/fairseq,https://github.com/pytorch/fairseq,MIT,2017-08-29 16:26:12.000000,2021-04-22 09:38:14.000000,2021-04-21 22:50:13.000000,3022,778.0,1882.0,11894,1870.0,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,321.0,31,True,2021-01-05 20:26:45.000000,0.10.2,13.0,fairseq,,['pytorch'],115.0,24857.0,369.0,349.0,https://pypi.org/project/fairseq,2021-01-05 20:26:45.000000,20.0,24854.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n75,ChatterBot,gunthercox/ChatterBot,,nlp,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00.000000,2021-04-20 11:14:35.000000,2020-08-20 21:16:14.000000,3736,251.0,1231.0,11055,1847.0,\"ChatterBot is a machine learning, conversational dialog engine for creating chat bots.\",103.0,31,True,2020-08-22 18:42:43.000000,1.0.8,86.0,chatterbot,,,,23188.0,4023.0,3343.0,https://pypi.org/project/chatterbot,2020-08-22 18:40:36.000000,680.0,23188.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n76,flair,flairNLP/flair,,nlp,https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,MIT,2018-06-11 11:04:18.000000,2021-04-22 13:58:13.000000,2021-04-22 05:15:04.000000,1538,104.0,1411.0,10258,3309.0,A very simple framework for state-of-the-art Natural Language Processing (NLP).,197.0,31,True,2021-03-05 11:57:03.000000,0.8,21.0,flair,,['pytorch'],,64522.0,763.0,715.0,https://pypi.org/project/flair,2021-03-08 23:08:40.000000,48.0,64522.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n77,wordcloud,amueller/word_cloud,,data-viz,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59.000000,2021-03-21 10:56:17.000000,2021-03-01 23:14:14.000000,2035,97.0,349.0,8015,543.0,A little word cloud generator in Python.,61.0,31,True,2020-11-11 21:41:02.000000,1.8.1,16.0,wordcloud,conda-forge/wordcloud,,,404385.0,11400.0,10296.0,https://pypi.org/project/wordcloud,2020-11-11 21:41:02.000000,1104.0,400709.0,https://anaconda.org/conda-forge/wordcloud,2021-01-14 18:03:24.960000,205898.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n78,DVC,iterative/dvc,,ml-experiments,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000000,2021-04-22 12:40:52.000000,2021-04-22 12:01:44.000000,736,562.0,2336.0,7758,6523.0,Data Version Control | Git for Data & Models.,218.0,31,True,2021-04-15 20:21:48.000000,2.0.18,317.0,dvc,conda-forge/dvc,,22587.0,187406.0,932.0,886.0,https://pypi.org/project/dvc,2021-04-15 20:21:48.000000,46.0,156271.0,https://anaconda.org/conda-forge/dvc,2021-04-16 17:57:34.304000,606423.0,1.0,,,,,,,,,,,,,,,dvc,dvc,dvc,,,,,,,,,,\n79,Altair,altair-viz/altair,,data-viz,https://github.com/altair-viz/altair,https://github.com/altair-viz/altair,BSD-3-Clause,2015-09-19 03:14:04.000000,2021-04-10 05:43:04.000000,2021-04-04 16:59:23.000000,580,292.0,1317.0,6591,3065.0,Declarative statistical visualization library for Python.,127.0,31,True,2020-04-01 13:29:16.000000,4.1.0,26.0,altair,conda-forge/altair,,,1213213.0,10453.0,10083.0,https://pypi.org/project/altair,2020-04-01 13:23:10.000000,370.0,1200977.0,https://anaconda.org/conda-forge/altair,2020-04-01 16:49:36.519000,697461.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n80,Prefect,PrefectHQ/prefect,,data-pipelines,https://github.com/PrefectHQ/prefect,https://github.com/PrefectHQ/prefect,Apache-2.0,2018-06-29 21:59:26.000000,2021-04-22 14:30:09.000000,2021-04-21 17:37:57.000000,566,293.0,1404.0,6128,13819.0,The easiest way to automate your data.,199.0,31,True,2021-04-14 16:58:44.000000,0.14.16,93.0,prefect,conda-forge/prefect,,,79494.0,311.0,309.0,https://pypi.org/project/prefect,2021-04-14 16:58:44.000000,2.0,75942.0,https://anaconda.org/conda-forge/prefect,2021-04-14 22:39:12.157000,88821.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n81,Catboost,catboost/catboost,,ml-frameworks,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000000,2021-04-22 13:11:07.000000,2021-04-22 13:11:04.000000,886,319.0,1121.0,5819,15825.0,\"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..\",774.0,31,True,2021-04-05 22:23:00.000000,0.25.1,93.0,catboost,conda-forge/catboost,,53953.0,2736900.0,162.0,,https://pypi.org/project/catboost,2021-04-05 22:14:25.000000,162.0,2717047.0,https://anaconda.org/conda-forge/catboost,2021-04-12 10:39:53.915000,650984.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n82,Chainer,chainer/chainer,,ml-frameworks,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37.000000,2021-02-17 11:20:21.000000,2021-02-17 11:20:21.000000,1374,18.0,2019.0,5560,30575.0,A flexible framework of neural networks for deep learning.,318.0,31,True,2021-01-13 10:14:54.000000,7.0.0.post1,109.0,chainer,,,,26749.0,2828.0,2086.0,https://pypi.org/project/chainer,2021-01-13 09:29:55.000000,742.0,26749.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n83,Pydub,jiaaro/pydub,,audio,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38.000000,2021-04-21 10:21:41.000000,2021-04-21 10:21:41.000000,708,178.0,245.0,5286,741.0,Manipulate audio with a simple and easy high level interface.,90.0,31,True,2021-03-10 02:10:41.000000,0.25.1,68.0,pydub,conda-forge/pydub,,,687958.0,8089.0,6735.0,https://pypi.org/project/pydub,2021-03-10 02:09:53.000000,1354.0,687445.0,https://anaconda.org/conda-forge/pydub,2021-03-13 05:16:50.142000,14365.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n84,imbalanced-learn,scikit-learn-contrib/imbalanced-learn,,sklearn-utils,https://github.com/scikit-learn-contrib/imbalanced-learn,https://github.com/scikit-learn-contrib/imbalanced-learn,MIT,2014-08-16 05:08:26.000000,2021-04-17 13:30:33.000000,2021-04-13 08:43:16.000000,1081,34.0,425.0,5184,737.0,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,56.0,31,True,2021-02-18 14:00:33.000000,0.8.0,27.0,imbalanced-learn,conda-forge/imbalanced-learn,['sklearn'],,1398336.0,5270.0,4990.0,https://pypi.org/project/imbalanced-learn,2021-02-18 13:50:00.000000,280.0,1395418.0,https://anaconda.org/conda-forge/imbalanced-learn,2021-02-18 15:40:00.937000,122560.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n85,sentencepiece,google/sentencepiece,,nlp,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000000,2021-04-20 02:48:37.000000,2021-04-20 02:48:37.000000,657,33.0,405.0,4983,672.0,Unsupervised text tokenizer for Neural Network-based text generation.,52.0,31,True,2021-01-10 06:29:42.000000,0.1.95,30.0,sentencepiece,conda-forge/sentencepiece,,12517.0,2075601.0,7280.0,7040.0,https://pypi.org/project/sentencepiece,2021-01-10 06:29:42.000000,240.0,2070007.0,https://anaconda.org/conda-forge/sentencepiece,2021-02-09 05:49:50.247000,46834.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n86,UMAP,lmcinnes/umap,,data-viz,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17.000000,2021-04-21 00:10:44.000000,2021-04-21 00:10:43.000000,514,240.0,248.0,4665,1396.0,Uniform Manifold Approximation and Projection.,78.0,31,True,2021-02-08 21:04:43.000000,0.5.1,35.0,umap-learn,,,,459572.0,2992.0,2766.0,https://pypi.org/project/umap-learn,2021-02-08 21:04:43.000000,226.0,459572.0,,,,2.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,\n87,Optuna,optuna/optuna,,hyperopt,https://github.com/optuna/optuna,https://github.com/optuna/optuna,MIT,2018-02-21 06:12:56.000000,2021-04-22 10:15:32.000000,2021-04-22 09:21:32.000000,494,188.0,610.0,4455,9811.0,A hyperparameter optimization framework.,134.0,31,True,2021-04-05 03:39:39.000000,2.7.0,37.0,optuna,conda-forge/optuna,,,415344.0,1246.0,1194.0,https://pypi.org/project/optuna,2021-04-05 03:39:39.000000,52.0,413931.0,https://anaconda.org/conda-forge/optuna,2021-04-05 06:39:55.179000,24024.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n88,opencv-python,skvark/opencv-python,,image,https://github.com/opencv/opencv-python,https://github.com/opencv/opencv-python,MIT,2016-04-08 13:36:40.000000,2021-04-05 08:15:02.000000,2020-12-28 18:40:12.000000,355,22.0,388.0,1925,749.0,\"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..\",27.0,31,True,2021-01-03 17:36:16.000000,47,48.0,opencv-python,,,,4712333.0,12560.0,,https://pypi.org/project/opencv-python,2021-01-03 17:07:49.000000,12560.0,4712333.0,,,,2.0,,,,,,,,,,,,,,,,,,opencv/opencv-python,,,,,,,,,\n89,numexpr,pydata/numexpr,,data-containers,https://github.com/pydata/numexpr,https://github.com/pydata/numexpr,MIT,2013-11-30 22:33:48.000000,2021-03-05 20:56:41.232000,2021-03-03 18:33:11.000000,166,53.0,251.0,1579,686.0,\"Fast numerical array expression evaluator for Python, NumPy, PyTables, pandas, bcolz and more.\",57.0,31,True,2021-03-03 18:13:19.000000,2.7.3,40.0,numexpr,conda-forge/numexpr,,,1264278.0,5482.0,,https://pypi.org/project/numexpr,2021-03-03 18:13:19.000000,5482.0,1220825.0,https://anaconda.org/conda-forge/numexpr,2021-03-05 20:56:41.232000,2433368.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n90,SageMaker SDK,aws/sagemaker-python-sdk,,ml-experiments,https://github.com/aws/sagemaker-python-sdk,https://github.com/aws/sagemaker-python-sdk,Apache-2.0,2017-11-14 01:03:33.000000,2021-04-21 20:13:26.000000,2021-04-21 16:31:05.000000,604,246.0,542.0,1366,1974.0,A library for training and deploying machine learning models on Amazon SageMaker.,197.0,31,True,2021-04-21 16:31:11.000000,2.38.0,329.0,sagemaker,,\"['mxnet', 'tensorflow']\",,851745.0,704.0,676.0,https://pypi.org/project/sagemaker,2021-04-20 16:28:54.000000,28.0,851745.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n91,dask.distributed,dask/distributed,,distributed-ml,https://github.com/dask/distributed,https://github.com/dask/distributed,BSD-3-Clause,2015-09-13 18:42:29.000000,2021-04-22 14:16:56.000000,2021-04-22 08:21:08.000000,518,757.0,1335.0,1178,,A distributed task scheduler for Dask.,239.0,31,True,2021-03-26 20:20:28.000000,2021.3.1,146.0,distributed,conda-forge/distributed,,,3076895.0,19539.0,17761.0,https://pypi.org/project/distributed,2021-04-02 16:23:04.000000,1778.0,3006806.0,https://anaconda.org/conda-forge/distributed,2021-04-02 23:57:57.574000,4135279.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n92,pyproj,pyproj4/pyproj,,geospatial-data,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000000,2021-04-11 01:35:49.000000,2021-04-11 01:34:02.000000,150,11.0,396.0,600,1141.0,Python interface to PROJ (cartographic projections and coordinate transformations library).,40.0,31,True,2021-03-05 03:06:15.000000,3.0.1,34.0,pyproj,conda-forge/pyproj,,,2396841.0,11785.0,9323.0,https://pypi.org/project/pyproj,2020-11-05 14:28:45.000000,2462.0,2363684.0,https://anaconda.org/conda-forge/pyproj,2021-03-05 14:16:16.093000,2122111.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n93,snowballstemmer,snowballstem/snowball,,nlp,https://github.com/snowballstem/snowball,https://github.com/snowballstem/snowball,BSD-3-Clause,2013-02-23 07:17:42.000000,2021-04-11 21:24:01.000000,2021-04-11 21:24:01.000000,133,17.0,42.0,492,852.0,Snowball compiler and stemming algorithms.,26.0,31,True,2021-01-21 11:43:00.000000,2.1.0,9.0,snowballstemmer,conda-forge/snowballstemmer,,,5589980.0,61041.0,47859.0,https://pypi.org/project/snowballstemmer,2021-01-21 11:43:00.000000,13182.0,5546909.0,https://anaconda.org/conda-forge/snowballstemmer,2021-01-21 23:16:54.597000,2411994.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n94,jieba,fxsjy/jieba,,chinese-nlp,https://github.com/fxsjy/jieba,https://github.com/fxsjy/jieba,MIT,2012-09-29 07:52:01.000000,2020-12-05 18:32:32.000000,2020-02-15 08:33:35.000000,6175,601.0,198.0,26063,523.0,Chinese Words Segmentation Utilities.,48.0,30,False,2020-01-20 14:27:23.000000,0.42.1,32.0,jieba,conda-forge/jieba,,,410286.0,12364.0,9848.0,https://pypi.org/project/jieba,2020-01-20 14:27:23.000000,2516.0,408745.0,https://anaconda.org/conda-forge/jieba,2020-03-25 20:57:40.090000,73991.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n95,Magenta,magenta/magenta,,audio,https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40.000000,2021-04-19 14:20:10.000000,2021-04-19 14:20:02.000000,3402,303.0,549.0,16537,1387.0,Magenta: Music and Art Generation with Machine Intelligence.,149.0,30,True,2020-11-12 19:17:18.000000,2.1.3,66.0,magenta,,['tensorflow'],,7399.0,356.0,286.0,https://pypi.org/project/magenta,2020-11-12 19:17:18.000000,70.0,7399.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n96,zipline,quantopian/zipline,,financial-data,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29.000000,2021-04-18 22:05:29.000000,2020-10-14 16:36:49.000000,3947,339.0,649.0,13762,6226.0,\"Zipline, a Pythonic Algorithmic Trading Library.\",151.0,30,True,2020-10-05 15:46:20.429000,1.4.1,30.0,zipline,,,,7034.0,867.0,709.0,https://pypi.org/project/zipline,2020-10-05 15:46:20.429000,158.0,7034.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n97,pyecharts,pyecharts/pyecharts,,data-viz,https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000000,2021-02-08 07:14:13.000000,2021-01-19 10:14:13.000000,2400,34.0,1377.0,10852,1512.0,Python Echarts Plotting Library.,30.0,30,True,2020-10-29 15:14:08.000000,1.9.0,66.0,pyecharts,,['jupyter'],,43741.0,1861.0,1579.0,https://pypi.org/project/pyecharts,2020-10-29 15:14:08.000000,282.0,43741.0,,,,2.0,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,,,,,,,,,,,,,,,,,,,,,,,,,,\n98,TFlearn,tflearn/tflearn,,ml-frameworks,https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,MIT,2016-03-31 12:05:53.000000,2021-01-25 09:41:59.000000,2020-11-30 04:34:51.000000,2429,563.0,361.0,9532,613.0,Deep learning library featuring a higher-level API for TensorFlow.,128.0,30,True,2020-11-11 19:26:11.000000,0.5.0,8.0,tflearn,,['tensorflow'],,17380.0,4140.0,3178.0,https://pypi.org/project/tflearn,2020-11-11 19:13:47.000000,962.0,17380.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n99,Annoy,spotify/annoy,,nn-search,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40.000000,2021-03-01 19:06:27.000000,2020-12-03 18:21:18.000000,903,37.0,270.0,8386,785.0,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,68.0,30,True,2020-09-18 16:07:59.000000,1.17.0,43.0,annoy,,,,555201.0,1900.0,1540.0,https://pypi.org/project/annoy,2020-09-18 16:07:59.000000,360.0,555201.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n100,fuzzywuzzy,seatgeek/fuzzywuzzy,,nlp,https://github.com/seatgeek/fuzzywuzzy,https://github.com/seatgeek/fuzzywuzzy,GPL-2.0,2011-07-08 19:32:34.000000,2021-04-20 16:08:59.000000,2021-02-20 06:36:20.000000,826,97.0,99.0,8020,381.0,Fuzzy String Matching in Python.,68.0,30,False,2020-02-13 22:14:12.000000,0.18.0,27.0,fuzzywuzzy,conda-forge/fuzzywuzzy,,,4933185.0,11721.0,8515.0,https://pypi.org/project/fuzzywuzzy,2020-02-13 21:06:25.000000,3206.0,4928032.0,https://anaconda.org/conda-forge/fuzzywuzzy,2020-11-18 12:59:01.409000,293733.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n101,TextBlob,sloria/TextBlob,,nlp,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18.000000,2021-04-16 12:25:43.000000,2021-04-16 12:24:30.000000,995,85.0,150.0,7630,535.0,\"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..\",34.0,30,True,2019-02-24 23:03:17.000000,0.15.3,55.0,textblob,conda-forge/textblob,,90.0,446067.0,13979.0,11487.0,https://pypi.org/project/textblob,2019-02-24 23:03:17.000000,2492.0,443956.0,https://anaconda.org/conda-forge/textblob,2019-02-24 23:32:55.233000,118225.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n102,glfw,glfw/glfw,,image,https://github.com/glfw/glfw,https://github.com/glfw/glfw,Zlib,2013-04-18 15:24:53.000000,2021-04-22 06:37:05.000000,2021-03-19 13:47:46.000000,2746,444.0,1007.0,7537,4226.0,\"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.\",168.0,30,False,2021-04-08 17:55:06.000000,3.3.4,38.0,glfw,conda-forge/glfw,,2285724.0,71635.0,214.0,,https://pypi.org/project/glfw,2021-02-28 20:43:49.000000,214.0,39206.0,https://anaconda.org/conda-forge/glfw,2021-04-08 18:43:30.580000,29082.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n103,Vowpal Wabbit,VowpalWabbit/vowpal_wabbit,,ml-frameworks,https://github.com/VowpalWabbit/vowpal_wabbit,https://github.com/VowpalWabbit/vowpal_wabbit,BSD-3-Clause,2009-07-31 19:36:58.000000,2021-04-22 14:06:44.000000,2021-04-20 15:14:45.000000,1731,141.0,908.0,7525,9144.0,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,298.0,30,True,2021-04-13 13:14:52.000000,8.10.1,16.0,vowpalwabbit,,,,25160.0,133.0,117.0,https://pypi.org/project/vowpalwabbit,2021-04-13 13:14:52.000000,16.0,25160.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n104,MoviePy,Zulko/moviepy,,image,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000000,2021-04-19 08:04:19.000000,2021-04-15 19:22:41.000000,1027,337.0,721.0,7461,1021.0,Video editing with Python.,139.0,30,True,2020-05-07 16:29:35.000000,1.0.3,84.0,moviepy,conda-forge/moviepy,,,539447.0,8120.0,6990.0,https://pypi.org/project/moviepy,2020-10-05 00:26:29.000000,1130.0,537693.0,https://anaconda.org/conda-forge/moviepy,2020-02-23 19:57:49.975000,78942.0,2.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,\n105,Datasets,huggingface/datasets,,data-loading,https://github.com/huggingface/datasets,https://github.com/huggingface/datasets,Apache-2.0,2020-03-26 09:23:22.000000,2021-04-22 13:33:28.000000,2021-04-21 09:54:57.000000,859,271.0,439.0,7264,1546.0,\"The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools.\",260.0,30,True,2021-04-20 17:05:21.000000,1.6.0,18.0,datasets,,,,112512.0,641.0,623.0,https://pypi.org/project/datasets,2021-04-20 16:38:26.000000,18.0,112512.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n106,pandas-profiling,pandas-profiling/pandas-profiling,,data-viz,https://github.com/pandas-profiling/pandas-profiling,https://github.com/pandas-profiling/pandas-profiling,MIT,2016-01-09 23:47:55.000000,2021-04-19 19:16:19.000000,2021-04-19 18:56:58.000000,1062,74.0,382.0,7154,784.0,Create HTML profiling reports from pandas DataFrame objects.,75.0,30,True,2021-02-20 14:18:35.000000,2.11.0,27.0,pandas-profiling,conda-forge/pandas-profiling,\"['jupyter', 'pandas']\",,371631.0,3880.0,3720.0,https://pypi.org/project/pandas-profiling,2021-02-07 23:45:05.000000,160.0,369501.0,https://anaconda.org/conda-forge/pandas-profiling,2021-02-20 16:48:07.057000,119302.0,2.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,\n107,SpeechRecognition,Uberi/speech_recognition,,audio,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54.000000,2021-02-28 19:52:57.000000,2019-07-02 17:29:47.000000,1902,217.0,271.0,5573,360.0,\"Speech recognition module for Python, supporting several engines and APIs, online and offline.\",41.0,30,False,2017-12-05 14:05:14.000000,3.8.1,52.0,SpeechRecognition,conda-forge/speechrecognition,,,152353.0,8933.0,7845.0,https://pypi.org/project/SpeechRecognition,2017-12-05 13:58:29.000000,1088.0,150423.0,https://anaconda.org/conda-forge/speechrecognition,2021-01-11 17:26:33.040000,108083.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n108,Hyperopt,hyperopt/hyperopt,,hyperopt,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59.000000,2021-03-24 09:17:46.000000,2021-03-24 09:17:46.000000,880,340.0,225.0,5554,1172.0,Distributed Asynchronous Hyperparameter Optimization in Python.,87.0,30,True,2020-10-07 09:52:56.000000,0.2.5,11.0,hyperopt,conda-forge/hyperopt,,,937193.0,3594.0,3090.0,https://pypi.org/project/hyperopt,2020-10-07 09:52:56.000000,504.0,930859.0,https://anaconda.org/conda-forge/hyperopt,2020-10-14 07:57:14.292000,196370.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n109,Autograd,HIPS/autograd,,others,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23.000000,2021-03-03 09:28:19.000000,2021-03-03 09:27:58.000000,719,161.0,218.0,5211,1376.0,Efficiently computes derivatives of numpy code.,51.0,30,True,2017-08-24 17:00:41.000000,1.1.13,24.0,autograd,conda-forge/autograd,,,1252303.0,2133.0,1789.0,https://pypi.org/project/autograd,2019-07-25 16:21:07.000000,344.0,1249335.0,https://anaconda.org/conda-forge/autograd,2019-07-25 18:29:55.493000,166244.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n110,sentence-transformers,UKPLab/sentence-transformers,,nlp,https://github.com/UKPLab/sentence-transformers,https://github.com/UKPLab/sentence-transformers,Apache-2.0,2019-07-24 10:53:51.000000,2021-04-21 13:12:31.000000,2021-04-21 12:43:25.000000,903,391.0,429.0,4802,734.0,Sentence Embeddings with BERT & XLNet.,45.0,30,True,2021-04-21 13:12:31.000000,1.1.0,35.0,sentence-transformers,,['pytorch'],,1052729.0,906.0,906.0,https://pypi.org/project/sentence-transformers,2021-04-21 13:12:06.000000,0.0,1052729.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n111,Tesseract,madmaze/pytesseract,,ocr,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000000,2021-04-19 17:16:44.000000,2021-04-19 17:16:44.000000,523,7.0,249.0,3540,376.0,Python-tesseract is an optical character recognition (OCR) tool for python.,37.0,30,True,2020-12-15 05:24:52.000000,0.3.7,24.0,pytesseract,conda-forge/pytesseract,,,897496.0,1428.0,,https://pypi.org/project/pytesseract,2020-12-15 05:24:52.000000,1428.0,887483.0,https://anaconda.org/conda-forge/pytesseract,2020-11-20 10:05:14.874000,210287.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n112,MLxtend,rasbt/mlxtend,,sklearn-utils,https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16.000000,2021-04-18 17:34:24.000000,2021-04-18 17:34:24.000000,704,95.0,284.0,3437,1211.0,A library of extension and helper modules for Python's data analysis and machine learning libraries.,83.0,30,True,2020-11-26 04:18:15.000000,0.18.0,46.0,mlxtend,conda-forge/mlxtend,['sklearn'],,314161.0,3177.0,2987.0,https://pypi.org/project/mlxtend,2020-11-26 04:18:15.000000,190.0,310532.0,https://anaconda.org/conda-forge/mlxtend,2020-11-26 05:32:00.667000,163332.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n113,bqplot,bqplot/bqplot,,data-viz,https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18.000000,2021-04-21 15:30:27.000000,2021-04-21 13:59:49.000000,404,192.0,333.0,3059,3329.0,Plotting library for IPython/Jupyter notebooks.,51.0,30,True,2021-04-08 11:35:03.000000,0.12.25,93.0,bqplot,conda-forge/bqplot,['jupyter'],,64115.0,1493.0,1371.0,https://pypi.org/project/bqplot,2021-04-08 11:30:01.000000,112.0,38137.0,https://anaconda.org/conda-forge/bqplot,2021-04-21 14:28:06.059000,583041.0,2.0,,,,,,,,,bqplot,https://www.npmjs.com/package/bqplot,2021-04-08 11:27:40.636000,10.0,16096.0,,,,,,,,,,,,,,\n114,wandb client,wandb/client,,ml-experiments,https://github.com/wandb/client,https://github.com/wandb/client,MIT,2017-03-24 05:46:23.000000,2021-04-22 04:41:07.000000,2021-04-21 22:57:09.000000,207,300.0,765.0,2909,3929.0,A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.,75.0,30,True,2021-04-19 23:42:36.000000,0.10.27,197.0,wandb,,,,373765.0,2706.0,2628.0,https://pypi.org/project/wandb,2021-04-19 23:34:22.000000,78.0,373765.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n115,torchtext,pytorch/text,,nlp,https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000000,2021-04-22 11:36:11.000000,2021-04-21 16:22:38.000000,624,290.0,323.0,2730,803.0,Data loaders and abstractions for text and NLP.,108.0,30,True,2021-03-25 17:19:08.000000,0.9.1-rc1,14.0,torchtext,,['pytorch'],,147332.0,4958.0,4276.0,https://pypi.org/project/torchtext,2021-03-25 16:29:43.000000,682.0,147332.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n116,PyQtGraph,pyqtgraph/pyqtgraph,,data-viz,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21.000000,2021-04-22 09:49:41.000000,2021-04-21 14:02:28.000000,825,279.0,532.0,2374,2655.0,Fast data visualization and GUI tools for scientific / engineering applications.,191.0,30,True,2021-04-07 01:54:38.000000,pyqtgraph-0.12.1,14.0,pyqtgraph,conda-forge/pyqtgraph,,,62517.0,890.0,,https://pypi.org/project/pyqtgraph,2021-04-07 02:34:28.000000,890.0,59114.0,https://anaconda.org/conda-forge/pyqtgraph,2021-04-07 05:35:51.854000,173573.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n117,AzureML SDK,Azure/MachineLearningNotebooks,,ml-experiments,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000000,2021-04-19 18:51:21.000000,2021-04-19 18:51:21.000000,1628,149.0,891.0,2253,1120.0,Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft.,55.0,30,True,2021-03-24 14:02:28.000000,1.25.0,73.0,azureml-sdk,,,410.0,668735.0,60.0,,https://pypi.org/project/azureml-sdk,2021-04-19 15:48:53.000000,60.0,668722.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n118,scikit-optimize,scikit-optimize/scikit-optimize,,hyperopt,https://github.com/scikit-optimize/scikit-optimize,https://github.com/scikit-optimize/scikit-optimize,BSD-3-Clause,2016-03-20 21:10:54.000000,2021-04-21 14:29:28.000000,2021-04-14 18:47:24.000000,396,205.0,364.0,2084,1549.0,Sequential model-based optimization with a `scipy.optimize` interface.,70.0,30,True,2020-09-04 09:08:10.000000,0.8.1,22.0,scikit-optimize,conda-forge/scikit-optimize,,,1414380.0,1697.0,1537.0,https://pypi.org/project/scikit-optimize,2020-09-04 09:08:10.000000,160.0,1408293.0,https://anaconda.org/conda-forge/scikit-optimize,2020-09-04 09:50:52.372000,273925.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n119,smart-open,RaRe-Technologies/smart_open,,data-loading,https://github.com/RaRe-Technologies/smart_open,https://github.com/RaRe-Technologies/smart_open,MIT,2015-01-02 13:05:52.000000,2021-04-19 22:02:30.000000,2021-03-31 09:57:55.000000,279,56.0,246.0,2007,916.0,\"Utils for streaming large files (S3, HDFS, gzip, bz2...).\",78.0,30,True,2021-03-30 09:56:17.000000,5.0.0,48.0,smart-open,,,,10895615.0,640.0,,https://pypi.org/project/smart-open,2021-03-30 09:55:04.000000,640.0,10895615.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n120,Geocoder,DenisCarriere/geocoder,,geospatial-data,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21.000000,2020-12-30 04:09:42.000000,2018-10-12 15:53:05.000000,260,90.0,217.0,1347,1251.0,Python Geocoder.,74.0,30,False,2018-04-04 12:34:51.000000,1.38.1,108.0,geocoder,conda-forge/geocoder,,,1152719.0,4111.0,3267.0,https://pypi.org/project/geocoder,2018-04-04 12:34:51.000000,844.0,1150943.0,https://anaconda.org/conda-forge/geocoder,2019-06-27 16:40:50.469000,88806.0,2.0,,,,,,,,,,,,,,,,,,,geocoder,,,,,,,,\n121,Wand,emcconville/wand,,image,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000000,2021-03-29 02:59:40.000000,2021-03-29 02:59:33.000000,183,14.0,328.0,1081,1698.0,The ctypes-based simple ImageMagick binding for Python.,95.0,30,True,2021-02-28 13:13:25.000000,0.6.6,48.0,wand,,,5215.0,276548.0,5184.0,4014.0,https://pypi.org/project/wand,2021-02-28 12:46:37.000000,1170.0,276369.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n122,Fiona,Toblerity/Fiona,,geospatial-data,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00.000000,2021-04-20 16:12:43.000000,2020-11-30 07:11:40.000000,168,79.0,554.0,798,1093.0,Fiona reads and writes geographic data files.,65.0,30,True,2021-04-07 21:57:31.000000,1.8.19,97.0,fiona,conda-forge/fiona,,,1336657.0,6727.0,5539.0,https://pypi.org/project/fiona,2021-04-07 21:57:31.000000,1188.0,1305801.0,https://anaconda.org/conda-forge/fiona,2021-04-08 06:39:37.208000,1882220.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n123,Nilearn,nilearn/nilearn,,medical-data,https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000000,2021-04-22 07:46:34.000000,2021-04-19 09:39:04.000000,391,378.0,1185.0,726,9333.0,Machine learning for NeuroImaging in Python.,166.0,30,True,2020-11-12 11:44:49.000000,0.7.0,36.0,nilearn,conda-forge/nilearn,['sklearn'],,25283.0,1270.0,968.0,https://pypi.org/project/nilearn,2021-03-10 13:17:17.000000,302.0,23708.0,https://anaconda.org/conda-forge/nilearn,2021-03-10 17:33:32.831000,92925.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n124,NiBabel,nipy/nibabel,,medical-data,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30.000000,2021-04-16 20:04:43.000000,2021-04-16 20:04:33.000000,214,112.0,290.0,400,4964.0,Python package to access a cacophony of neuro-imaging file formats.,89.0,30,True,2020-11-28 22:19:50.000000,3.2.1,32.0,nibabel,conda-forge/nibabel,,,117200.0,5399.0,4135.0,https://pypi.org/project/nibabel,2020-11-28 22:18:23.000000,1264.0,111637.0,https://anaconda.org/conda-forge/nibabel,2020-11-29 03:40:05.178000,328233.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n125,Keras,keras-team/keras,,ml-frameworks,https://github.com/keras-team/keras,https://github.com/keras-team/keras,MIT,2015-03-28 00:35:42.000000,2021-04-21 22:45:45.000000,2021-04-21 22:45:37.000000,18738,3262.0,7250.0,51056,5472.0,Deep Learning for humans.,905.0,29,True,2020-06-17 22:22:46.000000,2.4.0,50.0,keras,conda-forge/keras,['tensorflow'],,3078458.0,,,https://pypi.org/project/keras,2021-04-12 23:09:14.000000,,3049970.0,https://anaconda.org/conda-forge/keras,2021-04-19 19:56:38.549000,1595359.0,2.0,https://keras.io,,,,,,,-6.0,,,,,,,,,,,,,,,,,,,\n126,Face Recognition,ageitgey/face_recognition,,image,https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39.000000,2021-03-20 02:37:00.000000,2020-09-26 15:32:59.000000,11016,591.0,534.0,39530,211.0,The world's simplest facial recognition api for Python and the command line.,45.0,29,True,2018-08-21 18:34:21.000000,1.2.3,21.0,face_recognition,,['pytorch'],441.0,51336.0,406.0,,https://pypi.org/project/face_recognition,2018-08-21 18:34:21.000000,406.0,51327.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n127,fastText,facebookresearch/fastText,,nlp,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000000,2021-01-15 15:28:41.000000,2020-07-18 00:20:40.000000,4325,446.0,594.0,22475,379.0,Library for fast text representation and classification.,58.0,29,True,2020-04-28 09:54:50.000000,0.9.2,35.0,fasttext,conda-forge/fasttext,,,271225.0,1853.0,1663.0,https://pypi.org/project/fasttext,2020-04-28 09:54:50.000000,190.0,270770.0,https://anaconda.org/conda-forge/fasttext,2020-10-12 14:55:45.199000,19139.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n128,detectron2,facebookresearch/detectron2,,image,https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000000,2021-04-22 09:56:48.000000,2021-04-22 09:56:42.000000,4062,96.0,2307.0,16070,1115.0,\"Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.\",155.0,29,True,2021-03-13 01:36:49.000000,0.4,8.0,,conda-forge/detectron2,['pytorch'],,1521.0,212.0,212.0,,,,,https://anaconda.org/conda-forge/detectron2,2020-08-05 13:27:52.058000,16741.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n129,Faiss,facebookresearch/faiss,,nn-search,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000000,2021-04-22 15:08:10.000000,2021-04-22 14:21:16.000000,2177,124.0,1345.0,13296,520.0,A library for efficient similarity search and clustering of dense vectors.,83.0,29,True,2021-03-08 12:52:06.000000,1.0.1,46.0,pymilvus,conda-forge/faiss,,,22098.0,359.0,353.0,https://pypi.org/project/pymilvus,2021-03-08 12:52:06.000000,6.0,15368.0,https://anaconda.org/conda-forge/faiss,2021-04-19 13:07:02.042000,74034.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n130,Prophet,facebook/prophet,,time-series-data,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000000,2021-04-21 01:10:06.000000,2021-04-21 01:10:06.000000,3606,55.0,1514.0,12583,658.0,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,131.0,29,True,2021-04-02 23:45:16.000000,1.0,14.0,fbprophet,,,587.0,701415.0,150.0,,https://pypi.org/project/fbprophet,2020-09-05 16:12:50.000000,150.0,701404.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n131,horovod,horovod/horovod,,distributed-ml,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000000,2021-04-21 20:22:37.000000,2021-04-21 06:32:05.000000,1790,229.0,1536.0,11121,909.0,\"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.\",115.0,29,True,2021-02-15 20:51:41.000000,0.21.3,64.0,horovod,,,,54874.0,391.0,351.0,https://pypi.org/project/horovod,2021-02-15 20:51:41.000000,40.0,54874.0,,,,2.0,,stable/horovod,,,,,,,,,,,,,,,,,,,,,,,,,\n132,PyTorch Geometric,rusty1s/pytorch_geometric,,graph,https://github.com/rusty1s/pytorch_geometric,https://github.com/rusty1s/pytorch_geometric,MIT,2017-10-06 16:03:03.000000,2021-04-22 13:56:17.000000,2021-04-22 13:53:23.000000,1834,756.0,1198.0,10803,4366.0,Geometric Deep Learning Extension Library for PyTorch.,155.0,29,True,2021-04-09 08:44:51.000000,1.7.0,26.0,torch-geometric,,['pytorch'],,36990.0,24.0,,https://pypi.org/project/torch-geometric,2020-12-02 14:54:13.000000,24.0,36990.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n133,Sonnet,deepmind/sonnet,,ml-frameworks,https://github.com/deepmind/sonnet,https://github.com/deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35.000000,2021-03-15 18:24:14.000000,2021-03-15 18:23:31.000000,1269,19.0,137.0,8842,545.0,TensorFlow-based neural network library.,51.0,29,True,2020-03-27 10:36:19.000000,2.0.0,27.0,dm-sonnet,conda-forge/sonnet,['tensorflow'],,79798.0,643.0,561.0,https://pypi.org/project/dm-sonnet,2020-03-27 10:36:10.000000,82.0,79285.0,https://anaconda.org/conda-forge/sonnet,2020-11-14 18:13:23.843000,8730.0,2.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,\n134,Lime,marcotcr/lime,,interpretability,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10.000000,2021-02-04 08:58:12.000000,2021-01-12 16:12:17.000000,1402,63.0,445.0,8659,508.0,Lime: Explaining the predictions of any machine learning classifier.,57.0,29,True,2020-04-03 22:05:03.000000,0.2.0.0,38.0,lime,conda-forge/lime,,,373782.0,1340.0,1212.0,https://pypi.org/project/lime,2020-06-26 21:38:15.000000,128.0,372430.0,https://anaconda.org/conda-forge/lime,2020-06-28 01:02:41.538000,70354.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n135,TPOT,EpistasisLab/tpot,,hyperopt,https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40.000000,2021-03-17 21:46:35.000000,2021-01-06 15:17:46.000000,1396,214.0,593.0,7954,2368.0,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,108.0,29,False,2021-01-06 15:20:08.000000,0.11.7,60.0,tpot,conda-forge/tpot,['sklearn'],,42397.0,1008.0,928.0,https://pypi.org/project/tpot,2021-01-06 15:20:08.000000,80.0,40302.0,https://anaconda.org/conda-forge/tpot,2021-03-05 04:04:38.005000,115230.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n136,Albumentations,albumentations-team/albumentations,,image,https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000000,2021-04-11 19:00:47.000000,2021-04-02 10:55:20.000000,987,183.0,252.0,7764,628.0,Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation:..,76.0,29,True,2020-11-29 14:30:07.000000,0.5.2,44.0,albumentations,conda-forge/albumentations,['pytorch'],,131422.0,3498.0,3370.0,https://pypi.org/project/albumentations,2020-11-29 14:30:07.000000,128.0,130633.0,https://anaconda.org/conda-forge/albumentations,2020-11-29 15:51:47.610000,17365.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n137,tensorboardX,lanpa/tensorboardX,,ml-experiments,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19.000000,2021-04-06 13:33:53.253000,2021-04-03 15:54:51.000000,795,63.0,355.0,6913,468.0,\"tensorboard for pytorch (and chainer, mxnet, numpy, ...).\",65.0,29,True,2020-07-05 17:54:10.000000,2.0,13.0,tensorboardX,conda-forge/tensorboardx,,325.0,733552.0,12836.0,11502.0,https://pypi.org/project/tensorboardX,2020-07-05 16:22:14.000000,1334.0,724575.0,https://anaconda.org/conda-forge/tensorboardx,2021-04-06 13:33:53.253000,349863.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n138,Modin,modin-project/modin,,data-containers,https://github.com/modin-project/modin,https://github.com/modin-project/modin,Apache-2.0,2018-06-21 21:35:05.000000,2021-04-22 13:53:38.000000,2021-04-20 19:53:22.000000,418,495.0,1203.0,5990,1348.0,Modin: Speed up your Pandas workflows by changing a single line of code.,75.0,29,True,2021-03-16 02:04:13.000000,0.9.1,37.0,modin,,['pandas'],195399.0,143710.0,363.0,345.0,https://pypi.org/project/modin,2021-03-04 23:04:25.000000,18.0,137789.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n139,faust,robinhood/faust,,data-pipelines,https://github.com/robinhood/faust,https://github.com/robinhood/faust,BSD-3-Clause,2017-03-08 18:36:11.000000,2021-04-21 18:29:47.000000,2020-10-09 12:59:42.000000,459,236.0,225.0,5481,4137.0,Python Stream Processing.,91.0,29,True,2020-02-25 22:57:18.000000,1.10.4,46.0,faust,,,,865648.0,738.0,710.0,https://pypi.org/project/faust,2020-02-25 22:57:18.000000,28.0,865648.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n140,yfinance,ranaroussi/yfinance,,financial-data,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000000,2021-04-12 19:38:03.000000,2021-03-25 00:42:57.000000,1165,292.0,226.0,4838,,Yahoo! Finance market data downloader (+faster Pandas Datareader).,36.0,29,True,2021-03-25 00:43:03.000000,0.1.59,24.0,yfinance,ranaroussi/yfinance,,,203069.0,4022.0,3996.0,https://pypi.org/project/yfinance,2021-03-25 00:43:03.000000,26.0,200878.0,https://anaconda.org/ranaroussi/yfinance,2019-12-27 21:30:44.606000,43824.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n141,PyOD,yzhao062/pyod,,others,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04.000000,2021-04-14 14:51:35.000000,2021-02-18 15:48:37.000000,887,109.0,86.0,4397,1255.0,(JMLR'19) A Python Toolbox for Scalable Outlier Detection (Anomaly Detection).,23.0,29,True,2021-02-18 15:53:13.000000,0.8.7,65.0,pyod,,,,153013.0,585.0,579.0,https://pypi.org/project/pyod,2021-02-18 15:53:13.000000,6.0,153013.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n142,TinyDB,msiemens/tinydb,,data-containers,https://github.com/msiemens/tinydb,https://github.com/msiemens/tinydb,MIT,2013-07-12 23:31:13.000000,2021-04-19 18:15:07.000000,2021-04-19 18:15:07.000000,369,8.0,247.0,4189,614.0,TinyDB is a lightweight document oriented database optimized for your happiness :).,64.0,29,True,2021-02-11 19:31:26.000000,4.4.0,59.0,tinydb,conda-forge/tinydb,,,276155.0,1118.0,,https://pypi.org/project/tinydb,2021-02-11 19:31:24.000000,1118.0,274194.0,https://anaconda.org/conda-forge/tinydb,2021-02-11 21:20:33.462000,113763.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n143,kaggle,Kaggle/kaggle-api,,ml-experiments,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000000,2021-03-19 16:43:36.000000,2021-03-15 15:49:05.000000,792,172.0,116.0,3988,145.0,Official Kaggle API.,36.0,29,True,2021-03-13 00:50:03.000000,1.5.12,48.0,kaggle,conda-forge/kaggle,,,161229.0,5697.0,5133.0,https://pypi.org/project/kaggle,2021-03-13 00:50:03.000000,564.0,158937.0,https://anaconda.org/conda-forge/kaggle,2021-03-16 16:09:03.613000,52732.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n144,Kedro,quantumblacklabs/kedro,,data-pipelines,https://github.com/quantumblacklabs/kedro,https://github.com/quantumblacklabs/kedro,Apache-2.0,2019-04-18 10:29:56.000000,2021-04-21 17:04:55.000000,2021-04-21 14:52:44.000000,434,54.0,417.0,3742,1212.0,\"A Python framework for creating reproducible, maintainable and modular data science code.\",103.0,29,True,2021-04-21 15:12:01.000000,0.17.3,27.0,kedro,,,,131431.0,468.0,452.0,https://pypi.org/project/kedro,2021-04-21 15:12:51.000000,16.0,131431.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n145,Ignite,pytorch/ignite,,ml-frameworks,https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000000,2021-04-22 08:36:42.000000,2021-04-22 08:36:41.000000,443,104.0,695.0,3526,1087.0,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,135.0,29,True,2021-03-03 23:10:39.000000,0.4.4,532.0,pytorch-ignite,pytorch/ignite,['pytorch'],,62858.0,903.0,841.0,https://pypi.org/project/pytorch-ignite,2021-04-22 00:16:06.000000,62.0,61140.0,https://anaconda.org/pytorch/ignite,2021-03-03 23:10:32.721000,58431.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n146,sacred,IDSIA/sacred,,ml-experiments,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29.000000,2021-04-13 10:22:10.000000,2021-02-25 06:50:58.000000,314,92.0,403.0,3416,1303.0,\"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.\",92.0,29,True,2020-12-14 15:21:05.000000,0.8.2,27.0,sacred,,,,24695.0,1029.0,875.0,https://pypi.org/project/sacred,2020-12-14 15:21:05.000000,154.0,24695.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n147,Dedupe,dedupeio/dedupe,,nlp,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36.000000,2021-04-17 00:35:34.000000,2021-04-17 00:27:42.000000,423,60.0,582.0,2992,2813.0,\"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.\",56.0,29,True,2021-02-28 20:52:16.000000,2.0.7,159.0,dedupe,,,,95472.0,259.0,181.0,https://pypi.org/project/dedupe,2021-04-17 00:35:34.000000,78.0,95472.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n148,ftfy,LuminosoInsight/python-ftfy,,nlp,https://github.com/LuminosoInsight/python-ftfy,https://github.com/LuminosoInsight/python-ftfy,MIT,2012-08-24 16:14:59.000000,2021-04-19 06:46:27.267000,2021-04-16 14:41:17.000000,102,13.0,101.0,2938,582.0,\"Fixes mojibake and other glitches in Unicode text, after the fact.\",17.0,29,True,2021-04-16 14:45:14.000000,6.0.1,44.0,ftfy,conda-forge/ftfy,,,815171.0,3868.0,3108.0,https://pypi.org/project/ftfy,2021-04-16 14:45:14.000000,760.0,813079.0,https://anaconda.org/conda-forge/ftfy,2021-04-19 06:46:27.267000,100435.0,2.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,\n149,dbt,fishtown-analytics/dbt,,data-pipelines,https://github.com/fishtown-analytics/dbt,https://github.com/fishtown-analytics/dbt,Apache-2.0,2016-03-10 02:38:00.000000,2021-04-22 15:08:27.000000,2021-04-20 16:36:40.000000,555,326.0,1528.0,2852,2481.0,dbt (data build tool) enables data analysts and engineers to transform their data using the same practices that..,141.0,29,True,2021-03-31 18:19:23.000000,0.19.1,150.0,dbt,conda-forge/dbt,,,331703.0,273.0,255.0,https://pypi.org/project/dbt,2021-03-31 17:48:44.000000,18.0,328658.0,https://anaconda.org/conda-forge/dbt,2020-05-14 13:55:32.153000,161398.0,2.0,,,,,,,,,,,,,,,dbt,,,,,,,,,,,,\n150,Koalas,databricks/koalas,,data-containers,https://github.com/databricks/koalas,https://github.com/databricks/koalas,Apache-2.0,2019-01-03 21:46:54.000000,2021-04-15 22:31:04.000000,2021-04-15 19:35:24.000000,304,109.0,439.0,2764,1534.0,Koalas: pandas API on Apache Spark.,50.0,29,True,2021-03-08 10:28:06.000000,1.7.0,44.0,koalas,conda-forge/koalas,\"['spark', 'pandas']\",996.0,2942785.0,90.0,88.0,https://pypi.org/project/koalas,2021-03-08 10:28:06.000000,2.0,2939050.0,https://anaconda.org/conda-forge/koalas,2021-03-09 01:46:58.770000,85012.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n151,VisPy,vispy/vispy,,data-viz,https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22.000000,2021-04-22 13:30:29.000000,2021-04-22 12:16:15.000000,544,354.0,821.0,2627,6483.0,High-performance interactive 2D/3D data visualization library.,150.0,29,True,2020-12-14 15:55:00.000000,0.6.6,16.0,vispy,conda-forge/vispy,['jupyter'],,38049.0,609.0,487.0,https://pypi.org/project/vispy,2020-11-28 02:55:50.000000,122.0,34625.0,https://anaconda.org/conda-forge/vispy,2021-01-13 03:28:46.609000,140200.0,2.0,,,,,,,,,vispy,https://www.npmjs.com/package/vispy,2020-03-15 14:39:41.516000,,86.0,,,,,,,,,,,,,,\n152,mrjob,Yelp/mrjob,,data-pipelines,https://github.com/Yelp/mrjob,https://github.com/Yelp/mrjob,Apache-2.0,2010-10-13 18:35:21.000000,2021-03-31 18:37:58.000000,2020-11-16 22:20:52.000000,590,202.0,1089.0,2539,8622.0,Run MapReduce jobs on Hadoop or Amazon Web Services.,142.0,29,True,2020-09-17 22:26:01.000000,0.7.4,60.0,mrjob,conda-forge/mrjob,,,109848.0,831.0,719.0,https://pypi.org/project/mrjob,2020-09-17 22:26:01.000000,112.0,103587.0,https://anaconda.org/conda-forge/mrjob,2020-12-24 22:44:29.424000,344367.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n153,GPyTorch,cornellius-gp/gpytorch,,probabilistics,https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000000,2021-04-21 20:53:45.000000,2021-04-16 13:21:28.000000,338,207.0,687.0,2359,3401.0,A highly efficient and modular implementation of Gaussian Processes in PyTorch.,77.0,29,True,2021-04-15 13:43:21.000000,1.4.1,27.0,gpytorch,,['pytorch'],,70333.0,269.0,261.0,https://pypi.org/project/gpytorch,2021-04-15 13:43:21.000000,8.0,70333.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n154,NMSLIB,nmslib/nmslib,,nn-search,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06.000000,2021-03-16 02:11:45.000000,2021-03-16 02:11:39.000000,339,42.0,322.0,2356,1503.0,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,44.0,29,True,2021-02-03 16:40:09.000000,2.1.1,32.0,nmslib,conda-forge/nmslib,,,70301.0,413.0,361.0,https://pypi.org/project/nmslib,2021-02-03 00:02:08.000000,52.0,68331.0,https://anaconda.org/conda-forge/nmslib,2021-01-08 16:19:07.762000,23642.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n155,hmmlearn,hmmlearn/hmmlearn,,probabilistics,https://github.com/hmmlearn/hmmlearn,https://github.com/hmmlearn/hmmlearn,BSD-3-Clause,2014-03-23 10:33:09.000000,2021-04-16 09:52:06.000000,2021-04-16 09:48:57.000000,647,67.0,280.0,2240,358.0,\"Hidden Markov Models in Python, with scikit-learn like API.\",32.0,29,True,2021-02-03 14:33:20.000000,0.2.5,7.0,hmmlearn,conda-forge/hmmlearn,['sklearn'],,179445.0,1155.0,949.0,https://pypi.org/project/hmmlearn,2021-02-03 14:32:44.000000,206.0,176858.0,https://anaconda.org/conda-forge/hmmlearn,2021-02-04 16:23:17.046000,75039.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n156,pandas-datareader,pydata/pandas-datareader,,data-loading,https://github.com/pydata/pandas-datareader,https://github.com/pydata/pandas-datareader,BSD-3-Clause,2015-01-15 00:34:19.000000,2021-04-14 09:06:51.000000,2020-12-31 11:58:23.000000,521,86.0,370.0,1970,764.0,Extract data from a wide range of Internet sources into a pandas DataFrame.,77.0,29,True,2020-07-10 10:04:14.000000,0.9.0,21.0,pandas-datareader,conda-forge/pandas-datareader,['pandas'],,231702.0,10297.0,8891.0,https://pypi.org/project/pandas-datareader,2020-07-10 10:04:14.000000,1406.0,229331.0,https://anaconda.org/conda-forge/pandas-datareader,2021-03-16 22:58:42.079000,113830.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n157,ImageHash,JohannesBuchner/imagehash,,image,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48.000000,2021-03-25 13:32:22.000000,2021-01-03 14:55:15.000000,258,22.0,75.0,1921,184.0,A Python Perceptual Image Hashing Module.,17.0,29,True,2021-03-25 13:49:48.000000,4.1.0,17.0,ImageHash,conda-forge/imagehash,,,713842.0,2913.0,2381.0,https://pypi.org/project/ImageHash,2020-11-19 14:54:24.000000,532.0,711692.0,https://anaconda.org/conda-forge/imagehash,2020-11-19 18:20:49.964000,113987.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n158,HoloViews,holoviz/holoviews,,data-viz,https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000000,2021-04-21 11:07:45.000000,2021-04-21 11:07:45.000000,306,708.0,1847.0,1860,10167.0,\"With Holoviews, your data visualizes itself.\",104.0,29,True,2021-04-08 13:54:50.000000,1.14.3,70.0,holoviews,conda-forge/holoviews,['jupyter'],,99527.0,170.0,,https://pypi.org/project/holoviews,2021-04-08 13:54:50.000000,170.0,85706.0,https://anaconda.org/conda-forge/holoviews,2021-04-08 15:16:37.674000,470774.0,2.0,,,,,,,,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,2020-05-24 13:49:54.205000,,5842.0,,,,,,,,,,,,,,\n159,hdbscan,scikit-learn-contrib/hdbscan,,others,https://github.com/scikit-learn-contrib/hdbscan,https://github.com/scikit-learn-contrib/hdbscan,BSD-3-Clause,2015-04-22 13:32:37.000000,2021-04-07 15:55:02.000000,2021-04-07 15:55:02.000000,339,225.0,146.0,1858,884.0,A high performance implementation of HDBSCAN clustering.,69.0,29,True,2021-02-03 20:21:02.000000,0.8.27,43.0,hdbscan,conda-forge/hdbscan,['sklearn'],,231042.0,940.0,816.0,https://pypi.org/project/hdbscan,2021-02-03 20:21:02.000000,124.0,219849.0,https://anaconda.org/conda-forge/hdbscan,2021-02-14 03:07:15.749000,638025.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n160,Lifelines,CamDavidsonPilon/lifelines,,medical-data,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42.000000,2021-04-15 16:51:36.000000,2021-04-15 16:51:28.000000,420,200.0,600.0,1608,2111.0,Survival analysis in Python.,93.0,29,True,2021-04-13 14:41:27.000000,0.25.11,156.0,lifelines,conda-forge/lifelines,,,259764.0,678.0,552.0,https://pypi.org/project/lifelines,2021-04-13 14:41:27.000000,126.0,257345.0,https://anaconda.org/conda-forge/lifelines,2021-04-06 18:57:53.837000,140316.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n161,pyLDAvis,bmabey/pyLDAvis,,interpretability,https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03.000000,2021-04-21 17:28:16.000000,2021-03-24 13:03:31.000000,302,75.0,72.0,1437,240.0,Python library for interactive topic model visualization. Port of the R LDAvis package.,32.0,29,True,2021-03-24 13:05:21.000000,3.3.1,24.0,pyldavis,conda-forge/pyldavis,['jupyter'],,154805.0,2214.0,2016.0,https://pypi.org/project/pyldavis,2021-03-24 12:57:08.000000,198.0,154118.0,https://anaconda.org/conda-forge/pyldavis,2021-03-24 15:17:07.309000,23391.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n162,torchaudio,pytorch/audio,,audio,https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000000,2021-04-22 11:39:55.000000,2021-04-21 15:42:33.000000,296,149.0,313.0,1296,830.0,\"Data manipulation and transformation for audio signal processing, powered by PyTorch.\",117.0,29,True,2021-03-25 16:30:33.000000,0.8.1,14.0,torchaudio,,['pytorch'],,199537.0,2490.0,2472.0,https://pypi.org/project/torchaudio,2021-03-25 16:29:07.000000,18.0,199537.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n163,ipyleaflet,jupyter-widgets/ipyleaflet,,geospatial-data,https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10.000000,2021-04-20 02:45:10.000000,2021-04-12 10:46:55.000000,290,153.0,256.0,1110,912.0,A Jupyter - Leaflet.js bridge.,64.0,29,True,2021-01-05 16:38:38.000000,0.13.6,70.0,ipyleaflet,conda-forge/ipyleaflet,['jupyter'],,67810.0,908.0,808.0,https://pypi.org/project/ipyleaflet,2021-01-05 16:38:38.000000,98.0,36104.0,https://anaconda.org/conda-forge/ipyleaflet,2021-01-16 23:51:37.383000,652396.0,3.0,,,,,,,,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2021-01-05 16:30:30.235000,2.0,20649.0,,,,,,,,,,,,,,\n164,PyTables,PyTables/PyTables,,data-containers,https://github.com/PyTables/PyTables,https://github.com/PyTables/PyTables,BSD-3-Clause,2011-06-03 19:44:46.000000,2021-03-26 00:08:03.000000,2021-03-20 09:04:48.000000,204,168.0,450.0,1017,3954.0,A Python package to manage extremely large amounts of data.,98.0,29,True,2019-10-30 19:33:37.000000,3.6.1,25.0,tables,conda-forge/pytables,,130.0,713972.0,3754.0,,https://pypi.org/project/tables,2019-10-30 19:33:37.000000,3754.0,669353.0,https://anaconda.org/conda-forge/pytables,2021-01-14 18:41:06.536000,2498585.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n165,Graphviz,xflr6/graphviz,,data-viz,https://github.com/xflr6/graphviz,https://github.com/xflr6/graphviz,MIT,2014-01-12 17:49:29.000000,2021-03-14 18:19:06.000000,2021-03-14 18:18:52.000000,143,9.0,100.0,969,458.0,Simple Python interface for Graphviz.,15.0,29,True,2020-10-07 09:06:41.000000,0.14.2,47.0,graphviz,,,,6050475.0,23821.0,19439.0,https://pypi.org/project/graphviz,2020-12-24 16:17:24.000000,4382.0,6050475.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n166,Keras-Preprocessing,keras-team/keras-preprocessing,,others,https://github.com/keras-team/keras-preprocessing,https://github.com/keras-team/keras-preprocessing,MIT,2018-05-30 22:43:36.000000,2021-02-04 19:43:30.000000,2021-02-04 19:43:30.000000,420,93.0,99.0,938,284.0,\"Utilities for working with image data, text data, and sequence data.\",50.0,29,True,2020-05-14 03:53:47.000000,1.1.2,12.0,keras-preprocessing,conda-forge/keras-preprocessing,['tensorflow'],,5754707.0,2736.0,,https://pypi.org/project/keras-preprocessing,2020-05-14 03:53:47.000000,2736.0,5728175.0,https://anaconda.org/conda-forge/keras-preprocessing,2021-01-15 12:28:58.923000,902095.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n167,snakemake,snakemake/snakemake,,ml-experiments,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867000,2021-04-22 13:40:53.509000,2021-04-22 13:21:55.000000,203,377.0,224.0,937,4056.0,\"This is the development home of the workflow management system Snakemake. For general information, see.\",198.0,29,True,2021-04-22 13:01:17.000000,6.2.1,172.0,snakemake,bioconda/snakemake,,,22758.0,1078.0,790.0,https://pypi.org/project/snakemake,2021-04-22 13:01:58.000000,288.0,18348.0,https://anaconda.org/bioconda/snakemake,2021-04-22 13:40:53.509000,291123.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n168,TensorFlow Transform,tensorflow/transform,,tensorflow-utils,https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53.000000,2021-04-21 23:58:29.000000,2021-04-21 23:58:25.000000,169,31.0,128.0,865,635.0,Input pipeline framework.,27.0,29,True,2021-03-25 17:54:01.000000,0.29.0,36.0,tensorflow-transform,,['tensorflow'],,7215213.0,525.0,441.0,https://pypi.org/project/tensorflow-transform,2021-03-25 17:54:01.000000,84.0,7215213.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n169,Bottleneck,pydata/bottleneck,,data-containers,https://github.com/pydata/bottleneck,https://github.com/pydata/bottleneck,BSD-2-Clause,2010-11-27 23:21:22.000000,2021-03-22 17:21:10.000000,2021-01-24 18:39:03.000000,65,29.0,177.0,601,1241.0,Fast NumPy array functions written in C.,21.0,29,True,2020-02-21 06:22:16.000000,1.3.2,21.0,Bottleneck,conda-forge/bottleneck,,,397399.0,23813.0,20921.0,https://pypi.org/project/Bottleneck,2020-02-21 06:22:16.000000,2892.0,371736.0,https://anaconda.org/conda-forge/bottleneck,2021-01-21 02:48:32.623000,1514127.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n170,NIPYPE,nipy/nipype,,medical-data,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000000,2021-04-22 14:36:17.000000,2021-04-09 17:55:45.000000,456,337.0,878.0,559,14079.0,Workflows and interfaces for neuroimaging packages.,213.0,29,True,2020-11-28 17:23:30.000000,1.6.0,54.0,nipype,conda-forge/nipype,,,25297.0,758.0,566.0,https://pypi.org/project/nipype,2020-11-28 17:23:30.000000,192.0,18482.0,https://anaconda.org/conda-forge/nipype,2020-11-28 17:44:51.813000,388504.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n171,baselines,openai/baselines,,reinforcement-learning,https://github.com/openai/baselines,https://github.com/openai/baselines,MIT,2017-05-24 01:58:13.000000,2021-02-21 12:16:56.000000,2020-01-31 13:06:18.000000,3915,454.0,426.0,11409,347.0,OpenAI Baselines: high-quality implementations of reinforcement learning algorithms.,114.0,28,False,2018-02-26 17:07:07.000000,0.1.5,6.0,baselines,,,,9465.0,376.0,302.0,https://pypi.org/project/baselines,2018-02-26 17:07:07.000000,74.0,9465.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n172,EasyOCR,JaidedAI/EasyOCR,,ocr,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000000,2021-04-21 21:00:30.000000,2021-04-21 20:51:16.000000,1207,118.0,183.0,11261,401.0,\"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..\",77.0,28,True,2021-03-21 09:44:54.000000,1.3,21.0,easyocr,,,252678.0,42603.0,198.0,198.0,https://pypi.org/project/easyocr,2021-03-21 10:29:27.000000,0.0,17336.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n173,Rasa,RasaHQ/rasa,,nlp,https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49.000000,2021-04-22 14:07:42.000000,2021-04-20 15:01:20.000000,3345,611.0,4710.0,11209,,\"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..\",478.0,28,True,2021-04-14 21:16:02.000000,1.10.25,196.0,rasa,,['tensorflow'],,169971.0,64.0,,https://pypi.org/project/rasa,2021-04-12 19:57:32.000000,64.0,169971.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n174,Turi Create,apple/turicreate,,ml-frameworks,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04.000000,2021-03-31 19:36:36.000000,2021-03-31 19:36:36.000000,1091,476.0,1262.0,10229,1567.0,Turi Create simplifies the development of custom machine learning models.,82.0,28,True,2020-09-30 22:51:40.000000,6.4.1,31.0,turicreate,,,3923.0,27620.0,270.0,236.0,https://pypi.org/project/turicreate,2020-09-30 22:51:40.000000,34.0,27522.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n175,Dopamine,google/dopamine,,reinforcement-learning,https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36.000000,2021-04-08 17:53:18.000000,2021-04-08 17:48:28.000000,1254,82.0,73.0,9384,227.0,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,14.0,28,True,2021-03-03 22:26:11.000000,3.1.10,37.0,dopamine-rl,,['tensorflow'],,102294.0,62.0,,https://pypi.org/project/dopamine-rl,2021-04-08 17:53:18.000000,62.0,102294.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n176,PyTorch Image Models,rwightman/pytorch-image-models,,image,https://github.com/rwightman/pytorch-image-models,https://github.com/rwightman/pytorch-image-models,Apache-2.0,2019-02-02 05:51:12.000000,2021-04-21 20:16:31.000000,2021-04-19 23:18:36.000000,1318,27.0,270.0,8964,834.0,\"PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision..\",40.0,28,True,2021-03-31 19:11:46.000000,0.1-pit-weights,19.0,,,['pytorch'],328859.0,14298.0,464.0,464.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n177,AutoKeras,keras-team/autokeras,,hyperopt,https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20.000000,2021-04-16 15:12:04.000000,2021-03-18 20:17:05.000000,1281,66.0,668.0,7917,1250.0,AutoML library for deep learning.,129.0,28,True,2020-11-30 02:43:50.000000,1.0.12,46.0,autokeras,,['tensorflow'],,9805.0,178.0,171.0,https://pypi.org/project/autokeras,2020-11-30 02:43:50.000000,7.0,9805.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n178,Pyro,pyro-ppl/pyro,,probabilistics,https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000000,2021-04-22 12:56:10.000000,2021-04-20 03:15:42.000000,826,137.0,691.0,6874,2188.0,Deep universal probabilistic programming with Python and PyTorch.,106.0,28,True,2021-03-04 23:01:34.000000,1.6.0,26.0,pyro-ppl,,['pytorch'],,38302.0,466.0,430.0,https://pypi.org/project/pyro-ppl,2021-03-04 23:05:10.000000,36.0,38302.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n179,tensorpack,tensorpack/tensorpack,,ml-frameworks,https://github.com/tensorpack/tensorpack,https://github.com/tensorpack/tensorpack,Apache-2.0,2015-12-25 23:08:44.000000,2021-04-19 08:05:46.000000,2021-04-19 08:05:39.000000,1772,9.0,1314.0,5995,2932.0,\"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.\",55.0,28,True,2020-04-24 19:01:06.000000,0.10.1,37.0,tensorpack,,['tensorflow'],119.0,15647.0,814.0,738.0,https://pypi.org/project/tensorpack,2021-01-22 08:44:03.000000,76.0,15645.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n180,DeepPavlov,deepmipt/DeepPavlov,,nlp,https://github.com/deepmipt/DeepPavlov,https://github.com/deepmipt/DeepPavlov,Apache-2.0,2017-11-17 14:35:29.000000,2021-04-22 08:21:46.000000,2021-04-03 15:53:30.000000,933,118.0,459.0,5150,2581.0,An open source library for deep learning end-to-end dialog systems and chatbots.,61.0,28,True,2021-04-03 16:00:08.000000,0.14.1,42.0,deeppavlov,,['tensorflow'],,9734.0,198.0,190.0,https://pypi.org/project/deeppavlov,2021-04-03 16:00:08.000000,8.0,9734.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n181,Bayesian Optimization,fmfn/BayesianOptimization,,hyperopt,https://github.com/fmfn/BayesianOptimization,https://github.com/fmfn/BayesianOptimization,MIT,2014-06-06 08:18:56.000000,2021-03-17 21:02:26.000000,2020-12-19 01:11:23.000000,1097,40.0,166.0,5055,199.0,A Python implementation of global optimization with gaussian processes.,27.0,28,True,2020-05-16 16:03:51.000000,1.2.0,8.0,bayesian-optimization,,,54.0,103034.0,794.0,702.0,https://pypi.org/project/bayesian-optimization,2020-05-16 15:56:09.000000,92.0,103033.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n182,OpenNMT,OpenNMT/OpenNMT-py,,nlp,https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000000,2021-04-22 09:51:41.000000,2021-04-21 07:14:22.000000,1814,104.0,1146.0,4966,2558.0,Open Source Neural Machine Translation in PyTorch.,170.0,28,True,2021-04-16 12:58:59.000000,2.1.0,29.0,OpenNMT-py,,['pytorch'],,5028.0,87.0,83.0,https://pypi.org/project/OpenNMT-py,2021-01-27 09:22:31.000000,4.0,5028.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n183,GluonCV,dmlc/gluon-cv,,image,https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21.000000,2021-04-22 09:01:46.000000,2021-04-12 16:53:33.000000,1069,384.0,380.0,4687,858.0,Gluon CV Toolkit.,112.0,28,True,2021-03-28 22:53:04.000000,0.10.1,1068.0,gluoncv,,['mxnet'],,87051.0,504.0,474.0,https://pypi.org/project/gluoncv,2021-04-22 09:01:46.000000,30.0,87051.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n184,snorkel,snorkel-team/snorkel,,data-loading,https://github.com/snorkel-team/snorkel,https://github.com/snorkel-team/snorkel,Apache-2.0,2016-02-26 05:52:45.000000,2021-04-18 16:37:04.000000,2021-03-13 23:03:14.000000,735,24.0,919.0,4569,2652.0,A system for quickly generating training data with weak supervision.,64.0,28,True,2021-03-09 21:51:40.000000,0.9.7,19.0,snorkel,conda-forge/snorkel,,672.0,120042.0,87.0,79.0,https://pypi.org/project/snorkel,2021-03-09 21:39:08.000000,8.0,119183.0,https://anaconda.org/conda-forge/snorkel,2021-03-16 04:08:56.469000,17784.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n185,csvkit,wireservice/csvkit,,data-loading,https://github.com/wireservice/csvkit,https://github.com/wireservice/csvkit,MIT,2011-04-01 03:00:30.000000,2021-04-01 14:02:02.000000,2021-03-10 22:01:27.000000,535,56.0,754.0,4551,1696.0,\"A suite of utilities for converting to and working with CSV, the king of tabular file formats.\",92.0,28,True,2020-03-03 03:00:28.000000,1.0.5,33.0,csvkit,conda-forge/csvkit,,,53107.0,1558.0,856.0,https://pypi.org/project/csvkit,2020-03-03 03:00:28.000000,702.0,52116.0,https://anaconda.org/conda-forge/csvkit,2019-05-28 12:30:50.171000,48603.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n186,librosa,librosa/librosa,,audio,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000000,2021-04-14 15:33:46.000000,2021-04-14 15:33:43.000000,722,70.0,799.0,4430,,Python library for audio and music analysis.,84.0,28,True,2020-07-22 01:34:55.000000,0.8.0,28.0,librosa,conda-forge/librosa,,,557852.0,12286.0,10536.0,https://pypi.org/project/librosa,2020-07-22 01:34:55.000000,1750.0,553075.0,https://anaconda.org/conda-forge/librosa,2020-07-22 10:27:18.402000,272291.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n187,DEAP,deap/deap,,distributed-ml,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39.000000,2021-04-01 13:30:26.000000,2020-12-25 17:33:18.000000,877,207.0,227.0,4167,2147.0,Distributed Evolutionary Algorithms in Python.,67.0,28,False,2020-01-21 01:18:06.000000,1.3.1,16.0,deap,conda-forge/deap,,,117849.0,2256.0,1774.0,https://pypi.org/project/deap,2020-01-21 01:18:06.000000,482.0,115682.0,https://anaconda.org/conda-forge/deap,2021-01-13 14:43:13.393000,125738.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n188,Kornia,kornia/kornia,,image,https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000000,2021-04-21 08:07:31.000000,2021-04-21 07:09:16.000000,379,93.0,299.0,3894,1546.0,Open Source Differentiable Computer Vision Library for PyTorch.,94.0,28,True,2021-03-17 09:10:52.000000,0.5.0,13.0,kornia,,['pytorch'],,41770.0,343.0,343.0,https://pypi.org/project/kornia,2021-03-17 09:10:52.000000,0.0,41770.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n189,imutils,jrosebr1/imutils,,image,https://github.com/jrosebr1/imutils,https://github.com/jrosebr1/imutils,MIT,2015-01-11 20:05:39.000000,2021-03-23 17:44:24.000000,2021-01-15 10:46:45.000000,891,134.0,76.0,3623,138.0,\"A series of convenience functions to make basic image processing operations such as translation, rotation, resizing,..\",20.0,28,True,2021-01-15 10:53:17.000000,0.5.4,29.0,imutils,conda-forge/imutils,,,233858.0,15058.0,13862.0,https://pypi.org/project/imutils,2021-01-15 10:53:17.000000,1196.0,231727.0,https://anaconda.org/conda-forge/imutils,2021-01-15 14:27:25.471000,46883.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n190,PyCaret,pycaret/pycaret,,ml-experiments,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000000,2021-04-22 14:30:39.000000,2021-04-22 14:20:34.000000,692,209.0,611.0,3256,1713.0,\"An open-source, low-code machine learning library in Python.\",48.0,28,True,2021-02-21 19:03:52.000000,2.3.0,69.0,pycaret,,,383.0,56727.0,829.0,829.0,https://pypi.org/project/pycaret,2021-02-21 19:03:52.000000,0.0,56685.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n191,dyNET,clab/dynet,,ml-frameworks,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21.000000,2021-03-18 20:24:39.000000,2021-01-27 15:43:03.000000,703,259.0,661.0,3212,3267.0,DyNet: The Dynamic Neural Network Toolkit.,156.0,28,True,2020-10-21 14:31:01.000000,2.1.2,24.0,dyNET,,,2635.0,17524.0,213.0,175.0,https://pypi.org/project/dyNET,2020-10-21 14:31:01.000000,38.0,17476.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n192,Dagster,dagster-io/dagster,,data-pipelines,https://github.com/dagster-io/dagster,https://github.com/dagster-io/dagster,Apache-2.0,2018-04-30 16:30:04.000000,2021-04-21 23:50:31.000000,2021-04-21 23:50:28.000000,336,566.0,2271.0,3153,7355.0,\"A data orchestrator for machine learning, analytics, and ETL.\",129.0,28,True,2021-04-19 19:10:52.000000,0.11.5,255.0,dagster,conda-forge/dagster,,,65366.0,162.0,158.0,https://pypi.org/project/dagster,2021-04-19 18:54:17.000000,4.0,52814.0,https://anaconda.org/conda-forge/dagster,2021-04-20 12:27:30.968000,213394.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n193,Blaze,blaze/blaze,,data-containers,https://github.com/blaze/blaze,https://github.com/blaze/blaze,BSD-3-Clause,2012-10-26 14:25:22.000000,2020-02-01 19:33:09.000000,2019-08-15 21:14:59.000000,373,262.0,500.0,2943,7496.0,NumPy and Pandas interface to Big Data.,64.0,28,False,2016-07-19 20:40:03.000000,0.11.0,14.0,blaze,conda-forge/blaze,,,15258.0,9243.0,7621.0,https://pypi.org/project/blaze,2016-05-06 21:19:21.000000,1622.0,10932.0,https://anaconda.org/conda-forge/blaze,2018-07-15 22:16:17.685000,190383.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n194,phonenumbers,daviddrysdale/python-phonenumbers,,nlp,https://github.com/daviddrysdale/python-phonenumbers,https://github.com/daviddrysdale/python-phonenumbers,Apache-2.0,2011-04-21 03:06:38.000000,2021-04-07 16:25:13.000000,2021-04-07 16:18:13.000000,337,3.0,119.0,2685,,Python port of Google's libphonenumber.,22.0,28,True,2021-04-07 16:25:13.000000,8.12.21,172.0,phonenumbers,conda-forge/phonenumbers,,,1662520.0,2280.0,,https://pypi.org/project/phonenumbers,2021-04-07 16:25:13.000000,2280.0,1655519.0,https://anaconda.org/conda-forge/phonenumbers,2019-08-04 21:19:59.322000,406086.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n195,plotnine,has2k1/plotnine,,data-viz,https://github.com/has2k1/plotnine,https://github.com/has2k1/plotnine,GPL-2.0,2017-04-24 19:00:44.000000,2021-04-21 12:47:34.000000,2021-04-20 13:00:09.000000,137,61.0,367.0,2665,1690.0,A grammar of graphics for Python.,82.0,28,False,2021-03-25 12:57:10.000000,0.8.0,11.0,plotnine,conda-forge/plotnine,,,167698.0,2059.0,1805.0,https://pypi.org/project/plotnine,2021-03-25 10:49:20.000000,254.0,165508.0,https://anaconda.org/conda-forge/plotnine,2021-03-25 12:31:04.423000,102932.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n196,datashader,holoviz/datashader,,data-viz,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000000,2021-04-13 11:40:15.000000,2021-04-13 11:40:15.000000,318,125.0,345.0,2473,1287.0,Quickly and accurately render even the largest data.,43.0,28,True,2021-03-22 15:23:27.000000,0.12.1,23.0,datashader,conda-forge/datashader,,,38144.0,725.0,655.0,https://pypi.org/project/datashader,2021-03-16 18:44:57.000000,70.0,34012.0,https://anaconda.org/conda-forge/datashader,2021-04-13 11:22:49.633000,169448.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n197,sklearn-pandas,scikit-learn-contrib/sklearn-pandas,,data-containers,https://github.com/scikit-learn-contrib/sklearn-pandas,https://github.com/scikit-learn-contrib/sklearn-pandas,Zlib,2013-04-22 22:55:20.000000,2021-02-27 07:31:07.000000,2021-02-27 07:31:07.000000,392,31.0,120.0,2390,284.0,Pandas integration with sklearn.,37.0,28,False,2021-02-27 06:52:07.000000,2.1.0,26.0,sklearn-pandas,,\"['sklearn', 'pandas']\",,217230.0,2295.0,2073.0,https://pypi.org/project/sklearn-pandas,2021-02-27 06:52:07.000000,222.0,217230.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n198,Keras Tuner,keras-team/keras-tuner,,hyperopt,https://github.com/keras-team/keras-tuner,https://github.com/keras-team/keras-tuner,Apache-2.0,2019-06-06 22:38:21.000000,2021-04-08 21:21:19.000000,2021-04-06 21:39:45.000000,272,145.0,155.0,2290,810.0,Hyperparameter tuning for humans.,35.0,28,True,2020-11-20 19:13:23.000000,1.0.2,5.0,keras-tuner,,['tensorflow'],,365033.0,523.0,519.0,https://pypi.org/project/keras-tuner,2020-11-20 19:00:59.000000,4.0,365033.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n199,Cufflinks,santosjorge/cufflinks,,data-viz,https://github.com/santosjorge/cufflinks,https://github.com/santosjorge/cufflinks,MIT,2014-11-19 20:59:33.000000,2021-02-25 05:05:09.000000,2021-02-25 05:05:09.000000,535,81.0,121.0,2145,452.0,Productivity Tools for Plotly + Pandas.,38.0,28,True,2020-03-01 17:42:01.000000,0.17.3,27.0,cufflinks,,['pandas'],,106039.0,3372.0,3138.0,https://pypi.org/project/cufflinks,2020-03-01 17:42:01.000000,234.0,106039.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n200,ta,bukosabino/ta,,financial-data,https://github.com/bukosabino/ta,https://github.com/bukosabino/ta,MIT,2018-01-02 18:08:48.000000,2021-04-11 20:31:36.000000,2020-11-29 21:08:14.000000,503,75.0,87.0,2055,582.0,Technical Analysis Library using Pandas and Numpy.,23.0,28,True,2020-11-29 10:49:09.000000,0.7.0,49.0,ta,,,,69943.0,525.0,513.0,https://pypi.org/project/ta,2020-11-29 10:49:09.000000,12.0,69943.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n201,TF-Agents,tensorflow/agents,,reinforcement-learning,https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000000,2021-04-22 03:27:43.000000,2021-04-22 00:07:05.000000,496,112.0,346.0,1872,1716.0,\"TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.\",91.0,28,True,2021-01-05 18:41:58.000000,0.7.1,19.0,tf-agents,,['tensorflow'],,16740.0,453.0,441.0,https://pypi.org/project/tf-agents,2021-04-16 04:43:41.000000,12.0,16740.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n202,textacy,chartbeat-labs/textacy,,nlp,https://github.com/chartbeat-labs/textacy,https://github.com/chartbeat-labs/textacy,Apache-2.0,2016-02-03 16:52:45.000000,2021-04-17 12:17:33.000000,2021-04-13 16:20:26.000000,226,29.0,203.0,1649,1608.0,\"NLP, before and after spaCy.\",30.0,28,True,2021-04-12 15:49:48.000000,0.11.0,30.0,textacy,conda-forge/textacy,,,193374.0,154.0,,https://pypi.org/project/textacy,2021-04-12 15:49:48.000000,154.0,191588.0,https://anaconda.org/conda-forge/textacy,2021-04-13 18:57:20.207000,83945.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n203,Flax,google/flax,,ml-frameworks,https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000000,2021-04-22 10:49:04.000000,2021-04-22 10:48:57.000000,190,146.0,195.0,1640,1909.0,Flax is a neural network library for JAX that is designed for flexibility.,85.0,28,True,2021-03-31 14:19:21.000000,0.3.3,12.0,flax,,['jax'],23.0,104667.0,144.0,138.0,https://pypi.org/project/flax,2021-03-31 14:19:21.000000,6.0,104666.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n204,Cartopy,mapbox/rasterio,,geospatial-data,https://github.com/mapbox/rasterio,https://github.com/mapbox/rasterio,LGPL-3.0,2013-11-04 16:36:27.000000,2021-04-21 16:59:37.000000,2021-04-20 16:07:54.000000,399,139.0,1237.0,1473,3301.0,Rasterio reads and writes geospatial raster datasets.,107.0,28,False,2020-05-04 03:02:47.000000,0.18.0,21.0,Cartopy,conda-forge/cartopy,,705.0,83834.0,3403.0,3057.0,https://pypi.org/project/Cartopy,2021-04-21 16:59:37.000000,346.0,59149.0,https://anaconda.org/conda-forge/cartopy,2021-03-04 22:18:05.063000,1505215.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n205,igraph,igraph/python-igraph,,graph,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16.000000,2021-04-20 13:56:17.000000,2021-04-20 13:56:11.000000,184,23.0,279.0,805,1689.0,Python interface for igraph.,50.0,28,False,2021-03-26 10:08:11.000000,0.9.1,20.0,python-igraph,conda-forge/igraph,,117395.0,94783.0,2012.0,1588.0,https://pypi.org/project/python-igraph,2021-03-26 10:09:48.000000,424.0,88351.0,https://anaconda.org/conda-forge/igraph,2021-04-15 13:28:46.335000,212960.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n206,geojson,jazzband/geojson,,geospatial-data,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48.000000,2021-03-21 16:52:10.000000,2021-03-21 16:52:09.000000,85,20.0,52.0,616,448.0,Python bindings and utilities for GeoJSON.,44.0,28,True,2019-08-09 20:32:15.000000,2.5.0,28.0,geojson,conda-forge/geojson,,,706004.0,8205.0,6371.0,https://pypi.org/project/geojson,2019-08-09 20:32:15.000000,1834.0,699578.0,https://anaconda.org/conda-forge/geojson,2019-08-11 12:10:34.426000,392031.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n207,DIPY,dipy/dipy,,medical-data,https://github.com/dipy/dipy,https://github.com/dipy/dipy,BSD-3-Clause,2010-02-06 11:43:08.000000,2021-04-22 12:49:18.000000,2021-04-22 11:22:19.000000,313,156.0,602.0,427,11479.0,\"DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal..\",119.0,28,True,2020-11-05 17:35:53.000000,1.3.0,22.0,dipy,conda-forge/dipy,,,16958.0,451.0,357.0,https://pypi.org/project/dipy,2021-03-14 14:05:15.000000,94.0,13422.0,https://anaconda.org/conda-forge/dipy,2021-03-14 18:36:59.155000,208680.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n208,Cython BLIS,explosion/cython-blis,,others,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16.000000,2021-03-15 19:42:45.000000,2021-03-15 19:42:37.000000,25,6.0,16.0,167,526.0,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,9.0,28,True,2020-12-07 08:56:44.000000,0.7.4,35.0,blis,conda-forge/cython-blis,,,1795887.0,10120.0,9730.0,https://pypi.org/project/blis,2020-12-07 08:56:44.000000,390.0,1771326.0,https://anaconda.org/conda-forge/cython-blis,2021-01-31 09:13:47.685000,614036.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n209,Streamlit,streamlit/streamlit,,others,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000000,2021-04-22 12:25:57.000000,2021-04-22 00:25:32.000000,1213,497.0,1192.0,14266,,Streamlit The fastest way to build data apps in Python.,99.0,27,True,2021-04-19 23:34:43.000000,0.80.0,128.0,streamlit,,,,241863.0,108.0,74.0,https://pypi.org/project/streamlit,2021-04-08 23:05:58.000000,34.0,241863.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n210,NNI,microsoft/nni,,hyperopt,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44.000000,2021-04-22 14:27:51.000000,2021-04-09 14:09:51.000000,1269,286.0,944.0,9505,2023.0,\"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..\",126.0,27,True,2021-03-10 12:14:49.000000,2.1,39.0,nni,,,,3552.0,121.0,105.0,https://pypi.org/project/nni,2021-03-10 11:53:09.000000,16.0,3552.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n211,pretrainedmodels,Cadene/pretrained-models.pytorch,,pytorch-utils,https://github.com/Cadene/pretrained-models.pytorch,https://github.com/Cadene/pretrained-models.pytorch,BSD-3-Clause,2017-04-09 15:54:23.000000,2020-06-08 16:06:59.000000,2020-04-16 08:02:22.000000,1655,88.0,88.0,7892,154.0,\"Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.\",22.0,27,True,2018-10-29 08:18:45.000000,0.7.4,16.0,pretrainedmodels,,['pytorch'],,47768.0,1081.0,977.0,https://pypi.org/project/pretrainedmodels,2018-10-29 08:18:45.000000,104.0,47768.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n212,dgl,dmlc/dgl,,graph,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000000,2021-04-22 10:26:25.000000,2021-04-22 09:51:42.000000,1475,249.0,780.0,7139,1667.0,\"Python package built to ease deep learning on graph, on top of existing DL frameworks.\",123.0,27,True,2021-04-08 03:22:48.000000,0.6.1,415.0,dgl,,,,38359.0,30.0,,https://pypi.org/project/dgl,2021-04-21 09:50:17.000000,30.0,38359.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n213,TensorLayer,tensorlayer/tensorlayer,,reinforcement-learning,https://github.com/tensorlayer/tensorlayer,https://github.com/tensorlayer/tensorlayer,Apache-2.0,2016-06-07 15:55:16.000000,2021-04-19 03:39:43.000000,2021-03-17 01:32:00.000000,1473,20.0,433.0,6558,3346.0,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,131.0,27,True,2021-01-06 07:16:21.000000,2.2.4,82.0,tensorlayer,,['tensorflow'],1257.0,3553.0,68.0,,https://pypi.org/project/tensorlayer,2020-06-19 00:53:37.000000,68.0,3531.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n214,imageai,OlafenwaMoses/ImageAI,,image,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33.000000,2021-04-11 11:19:23.000000,2021-01-05 01:31:12.000000,1706,205.0,411.0,6078,290.0,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,13.0,27,True,2021-01-05 01:26:01.000000,2.1.6,10.0,imageai,,,568904.0,26935.0,822.0,798.0,https://pypi.org/project/imageai,2021-01-05 01:26:01.000000,24.0,11133.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n215,EfficientNet-PyTorch,lukemelas/EfficientNet-PyTorch,,pytorch-utils,https://github.com/lukemelas/EfficientNet-PyTorch,https://github.com/lukemelas/EfficientNet-PyTorch,Apache-2.0,2019-05-30 05:24:11.000000,2021-04-15 15:17:23.000000,2021-04-15 15:16:36.000000,1143,109.0,129.0,5829,162.0,A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!).,24.0,27,True,2021-04-15 15:17:23.000000,0.7.1,13.0,efficientnet-pytorch,,['pytorch'],451429.0,101331.0,14.0,,https://pypi.org/project/efficientnet-pytorch,2021-04-15 15:17:23.000000,14.0,66606.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n216,tsfresh,blue-yonder/tsfresh,,time-series-data,https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17.000000,2021-04-21 20:40:14.000000,2021-04-21 20:40:13.000000,869,41.0,421.0,5573,398.0,Automatic extraction of relevant features from time series:.,75.0,27,True,2021-03-06 08:49:53.000000,0.18.0,26.0,tsfresh,conda-forge/tsfresh,['sklearn'],,250038.0,66.0,,https://pypi.org/project/tsfresh,2020-09-09 21:08:22.000000,66.0,249246.0,https://anaconda.org/conda-forge/tsfresh,2021-03-07 06:57:04.012000,32496.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n217,auto-sklearn,automl/auto-sklearn,,hyperopt,https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10.000000,2021-04-22 08:16:33.000000,2021-04-17 15:11:05.000000,1006,106.0,608.0,5368,2454.0,Automated Machine Learning with scikit-learn.,66.0,27,True,2021-04-20 16:07:35.000000,0.12.6,31.0,auto-sklearn,,['sklearn'],,20792.0,186.0,156.0,https://pypi.org/project/auto-sklearn,2021-04-20 16:07:35.000000,30.0,20792.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n218,CleverHans,cleverhans-lab/cleverhans,,adversarial,https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04.000000,2021-04-20 08:51:08.000000,2021-04-20 08:51:08.000000,1250,23.0,416.0,5077,3194.0,\"An adversarial example library for constructing attacks, building defenses, and benchmarking both.\",123.0,27,True,2021-02-01 06:35:42.000000,3.1.0,7.0,cleverhans,,['tensorflow'],,849.0,224.0,208.0,https://pypi.org/project/cleverhans,2018-11-27 17:36:15.000000,16.0,849.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n219,Datasette,simonw/datasette,,others,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000000,2021-04-22 13:53:17.000000,2021-04-19 18:18:17.000000,274,253.0,780.0,5003,1612.0,An open source multi-tool for exploring and publishing data.,49.0,27,True,2021-03-29 00:43:36.000000,0.56,92.0,datasette,,,29.0,19030.0,473.0,403.0,https://pypi.org/project/datasette,2021-03-29 00:49:36.000000,70.0,19030.0,,,,2.0,,,,,,,,,,,,,,,datasette,,,,,,,,,,,,\n220,PDFMiner,euske/pdfminer,,data-loading,https://github.com/euske/pdfminer,https://github.com/euske/pdfminer,MIT,2010-12-12 12:50:22.000000,2021-02-16 14:43:27.000000,2020-01-18 07:00:32.000000,1043,226.0,40.0,4564,540.0,Python PDF Parser (Not actively maintained). Check out pdfminer.six.,28.0,27,False,,,24.0,pdfminer,conda-forge/pdfminer,,,193166.0,3663.0,2197.0,https://pypi.org/project/pdfminer,2019-11-25 12:02:21.000000,1466.0,192887.0,https://anaconda.org/conda-forge/pdfminer,2021-02-15 15:07:18.804000,15658.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n221,Tokenizers,huggingface/tokenizers,,nlp,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000000,2021-04-21 22:12:05.000000,2021-04-21 22:09:58.000000,332,96.0,322.0,4462,1453.0,Fast State-of-the-Art Tokenizers optimized for Research and Production.,40.0,27,True,2021-04-05 20:48:25.000000,python-v0.10.2,61.0,tokenizers,conda-forge/tokenizers,,,2233018.0,32.0,32.0,https://pypi.org/project/tokenizers,2021-04-05 21:14:02.000000,0.0,2227962.0,https://anaconda.org/conda-forge/tokenizers,2021-03-10 20:31:28.913000,45508.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n222,OCRmyPDF,jbarlow83/OCRmyPDF,,ocr,https://github.com/jbarlow83/OCRmyPDF,https://github.com/jbarlow83/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000000,2021-04-22 07:34:46.000000,2021-04-22 06:39:38.000000,443,90.0,602.0,4136,2940.0,\"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.\",53.0,27,True,2021-03-21 19:53:48.000000,11.7.3,168.0,ocrmypdf,,,,20303.0,154.0,142.0,https://pypi.org/project/ocrmypdf,2021-04-16 20:57:45.000000,12.0,20303.0,,,,2.0,,,,,,,,,,,,,,,ocrmypdf,ocrmypdf,,,,,,,,,,,\n223,skorch,skorch-dev/skorch,,ml-frameworks,https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000000,2021-04-21 20:33:46.000000,2021-04-21 20:33:45.000000,283,43.0,330.0,3913,951.0,A scikit-learn compatible neural network library that wraps PyTorch.,39.0,27,True,2021-03-23 15:34:51.000000,0.10.0,13.0,skorch,conda-forge/skorch,\"['pytorch', 'sklearn']\",,22493.0,326.0,300.0,https://pypi.org/project/skorch,2021-03-23 15:32:29.000000,26.0,14592.0,https://anaconda.org/conda-forge/skorch,2021-03-24 00:24:03.810000,244941.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n224,pyfolio,quantopian/pyfolio,,financial-data,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39.000000,2021-04-04 14:32:26.000000,2020-07-15 13:46:58.000000,1152,129.0,264.0,3702,1184.0,Portfolio and risk analytics in Python.,55.0,27,True,2019-04-15 15:00:21.000000,0.9.2,22.0,pyfolio,conda-forge/pyfolio,,,7093.0,283.0,229.0,https://pypi.org/project/pyfolio,2019-04-15 15:00:21.000000,54.0,6932.0,https://anaconda.org/conda-forge/pyfolio,2020-05-16 14:11:57.267000,6134.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n225,InterpretML,interpretml/interpret,,interpretability,https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000000,2021-04-20 23:55:45.000000,2021-04-13 22:40:20.000000,449,64.0,122.0,3679,1488.0,Fit interpretable models. Explain blackbox machine learning.,23.0,27,True,2021-01-20 02:12:33.000000,0.2.4,34.0,interpret,,['jupyter'],,31567.0,73.0,71.0,https://pypi.org/project/interpret,2021-01-20 02:10:35.000000,2.0,31567.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n226,lightfm,lyst/lightfm,,recommender-systems,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00.000000,2021-03-25 21:33:37.000000,2021-02-07 21:16:06.000000,584,79.0,339.0,3577,428.0,\"A Python implementation of LightFM, a hybrid recommendation algorithm.\",44.0,27,True,2020-11-27 19:48:30.000000,1.16,14.0,lightfm,conda-forge/lightfm,,,152870.0,495.0,439.0,https://pypi.org/project/lightfm,2020-11-27 19:55:08.000000,56.0,150638.0,https://anaconda.org/conda-forge/lightfm,2021-02-07 22:19:58.097000,87054.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n227,Perspective,finos/perspective,,data-viz,https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000000,2021-04-22 14:18:34.000000,2021-04-22 10:02:21.000000,359,77.0,330.0,3330,4410.0,Streaming pivot visualization via WebAssembly.,62.0,27,True,2021-02-24 14:38:08.000000,0.6.1,40.0,perspective-python,,['jupyter'],,3753.0,191.0,183.0,https://pypi.org/project/perspective-python,2021-02-24 14:38:08.000000,8.0,1793.0,,,,2.0,,,,,,,,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2021-04-20 17:05:20.531000,,1960.0,,,,,,,,,,,,,,\n228,Alpha Vantage,RomelTorres/alpha_vantage,,financial-data,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00.000000,2021-02-17 12:42:04.000000,2020-12-21 19:51:57.000000,586,14.0,224.0,3286,497.0,A python wrapper for Alpha Vantage API for financial data.,36.0,27,True,2020-12-21 02:37:29.000000,2.3.1,28.0,alpha_vantage,,,,32292.0,202.0,,https://pypi.org/project/alpha_vantage,2018-08-26 18:55:11.000000,202.0,32292.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n229,Jina,jina-ai/jina,,ml-frameworks,https://github.com/jina-ai/jina,https://github.com/jina-ai/jina,Apache-2.0,2020-02-13 17:04:44.000000,2021-04-22 12:12:23.000000,2021-04-22 03:55:02.000000,426,77.0,678.0,3093,5198.0,An easier way to build neural search on the cloud.,93.0,27,True,2021-04-21 11:25:41.000000,1.1.9,583.0,jina,,,,33125.0,58.0,58.0,https://pypi.org/project/jina,2021-04-21 14:30:07.000000,,15684.0,,,,3.0,,,jinaai/jina,https://hub.docker.com/r/jinaai/jina,2021-04-22 04:08:46.681049,2.0,244174.0,,,,,,,,,,,,,,,,,,,,\n230,pomegranate,jmschrei/pomegranate,,probabilistics,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000000,2021-03-29 16:51:20.000000,2021-03-29 16:50:31.000000,481,44.0,556.0,2656,891.0,\"Fast, flexible and easy to use probabilistic modelling in Python.\",62.0,27,True,2021-03-19 08:09:51.000000,0.14.3,65.0,pomegranate,conda-forge/pomegranate,,,49382.0,491.0,435.0,https://pypi.org/project/pomegranate,2021-03-29 16:51:20.000000,56.0,46810.0,https://anaconda.org/conda-forge/pomegranate,2020-11-01 16:22:04.857000,54012.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n231,Catalyst,catalyst-team/catalyst,,ml-experiments,https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13.000000,2021-04-22 12:02:59.000000,2021-04-21 15:32:37.000000,306,12.0,286.0,2543,1515.0,Accelerated deep learning R&D.,84.0,27,True,2021-04-19 07:05:54.000000,21.04.1,93.0,catalyst,,['pytorch'],,14583.0,371.0,333.0,https://pypi.org/project/catalyst,2021-04-19 07:02:22.000000,38.0,14583.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n232,eli5,TeamHG-Memex/eli5,,interpretability,https://github.com/TeamHG-Memex/eli5,https://github.com/TeamHG-Memex/eli5,MIT,2016-09-15 01:04:57.000000,2021-01-25 08:24:59.385000,2020-01-22 07:39:36.000000,296,145.0,110.0,2345,1198.0,A library for debugging/inspecting machine learning classifiers and explaining their predictions.,14.0,27,False,2021-01-23 14:25:24.000000,0.11.0,28.0,eli5,conda-forge/eli5,,,491374.0,110.0,,https://pypi.org/project/eli5,2021-01-23 14:25:24.000000,110.0,489400.0,https://anaconda.org/conda-forge/eli5,2021-01-25 08:24:59.385000,92782.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n233,pygal,Kozea/pygal,,graph,https://github.com/Kozea/pygal,https://github.com/Kozea/pygal,LGPL-3.0,2011-09-23 10:17:50.000000,2021-04-18 11:29:44.000000,2021-03-18 13:12:51.000000,381,164.0,240.0,2336,1014.0,PYthon svg GrAph plotting Library.,70.0,27,False,2017-07-05 09:22:41.000000,2.4.0,74.0,pygal,conda-forge/pygal,,,106512.0,1152.0,,https://pypi.org/project/pygal,2020-10-14 13:06:35.000000,1152.0,106228.0,https://anaconda.org/conda-forge/pygal,2019-06-04 02:55:56.728000,6248.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n234,implicit,benfred/implicit,,recommender-systems,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000000,2021-03-18 15:42:47.000000,2021-03-13 19:39:55.000000,490,84.0,260.0,2328,304.0,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,29.0,27,True,2020-09-15 22:01:38.000000,0.4.4,34.0,implicit,conda-forge/implicit,,,67442.0,445.0,401.0,https://pypi.org/project/implicit,2020-09-15 22:01:38.000000,44.0,61584.0,https://anaconda.org/conda-forge/implicit,2020-11-24 06:44:37.378000,228489.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n235,Core ML Tools,apple/coremltools,,model-serialisation,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000000,2021-04-21 23:02:01.000000,2021-04-09 19:43:53.000000,358,345.0,351.0,2184,869.0,\"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.\",112.0,27,True,2021-02-05 02:07:15.000000,4.1,28.0,coremltools,,,2562.0,60601.0,769.0,503.0,https://pypi.org/project/coremltools,2021-02-05 01:28:44.000000,266.0,60542.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n236,BoTorch,pytorch/botorch,,hyperopt,https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000000,2021-04-20 10:48:13.000000,2021-04-20 02:25:11.000000,196,43.0,136.0,1921,885.0,Bayesian optimization in PyTorch.,53.0,27,True,2021-02-23 21:33:59.000000,0.4.0,16.0,botorch,,['pytorch'],,60366.0,111.0,111.0,https://pypi.org/project/botorch,2020-12-08 06:47:25.000000,0.0,60366.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n237,Foolbox,bethgelab/foolbox,,adversarial,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48.000000,2021-04-20 14:00:54.000000,2021-03-19 11:36:39.000000,337,54.0,264.0,1870,1645.0,\"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.\",31.0,27,True,2021-02-23 07:09:34.000000,3.3.1,68.0,foolbox,,,,2885.0,201.0,183.0,https://pypi.org/project/foolbox,2021-02-23 07:07:53.000000,18.0,2885.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n238,PyFunctional,EntilZha/PyFunctional,,data-pipelines,https://github.com/EntilZha/PyFunctional,https://github.com/EntilZha/PyFunctional,MIT,2015-02-05 17:17:51.000000,2021-03-03 14:08:08.000000,2021-03-03 14:08:00.000000,99,3.0,116.0,1840,517.0,Python library for creating data pipelines with chain functional programming.,23.0,27,True,2021-01-12 19:21:07.000000,1.4.3,14.0,pyfunctional,,,,77551.0,279.0,279.0,https://pypi.org/project/pyfunctional,2021-01-12 19:14:48.000000,0.0,77551.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n239,langid,saffsd/langid.py,,nlp,https://github.com/saffsd/langid.py,https://github.com/saffsd/langid.py,BSD-3-Clause,2011-04-29 00:16:56.000000,2020-01-01 10:49:30.000000,2017-07-15 02:49:17.000000,266,25.0,45.0,1777,242.0,Stand-alone language identification system.,9.0,27,False,2016-04-05 22:34:15.000000,1.1.6,8.0,langid,,,,735006.0,914.0,664.0,https://pypi.org/project/langid,2016-04-05 22:34:15.000000,250.0,735006.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n240,filterpy,rlabbe/filterpy,,probabilistics,https://github.com/rlabbe/filterpy,https://github.com/rlabbe/filterpy,MIT,2014-07-15 02:15:19.000000,2021-03-02 14:46:47.000000,2021-02-08 17:55:48.000000,415,31.0,150.0,1765,536.0,\"Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman..\",33.0,27,True,2018-10-10 22:38:24.000000,1.4.5,48.0,filterpy,conda-forge/filterpy,,,43926.0,1017.0,805.0,https://pypi.org/project/filterpy,2018-10-10 22:38:24.000000,212.0,42626.0,https://anaconda.org/conda-forge/filterpy,2020-05-05 21:13:59.073000,59829.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n241,MNE,mne-tools/mne-python,,medical-data,https://github.com/mne-tools/mne-python,https://github.com/mne-tools/mne-python,BSD-3-Clause,2011-01-28 03:31:13.000000,2021-04-22 14:56:58.000000,2021-04-22 14:56:57.000000,904,333.0,3300.0,1577,,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,257.0,27,True,2021-04-02 17:25:09.000000,0.22.1,51.0,mne,conda-forge/mne,,,46616.0,1122.0,924.0,https://pypi.org/project/mne,2021-04-02 17:25:09.000000,198.0,44104.0,https://anaconda.org/conda-forge/mne,2021-04-02 19:31:24.897000,125621.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n242,datasketch,ekzhu/datasketch,,data-containers,https://github.com/ekzhu/datasketch,https://github.com/ekzhu/datasketch,MIT,2015-03-20 01:21:46.000000,2021-02-24 19:51:10.000000,2021-02-24 19:46:37.000000,207,20.0,92.0,1468,194.0,\"MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble.\",17.0,27,True,2020-12-23 21:01:43.000000,1.5.3,75.0,datasketch,,,16.0,236434.0,360.0,274.0,https://pypi.org/project/datasketch,2020-12-23 21:01:43.000000,86.0,236434.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n243,GPflow,GPflow/GPflow,,probabilistics,https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000000,2021-04-22 14:45:41.000000,2021-04-15 19:51:46.000000,389,86.0,607.0,1422,2223.0,Gaussian processes in TensorFlow.,70.0,27,True,2021-04-15 16:01:01.000000,2.1.5,29.0,gpflow,conda-forge/gpflow,['tensorflow'],,5316.0,275.0,241.0,https://pypi.org/project/gpflow,2020-12-01 13:12:15.000000,34.0,5068.0,https://anaconda.org/conda-forge/gpflow,2018-11-06 08:51:39.744000,8702.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n244,Model Analysis,tensorflow/model-analysis,,interpretability,https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000000,2021-04-21 20:51:14.000000,2021-04-21 20:30:27.000000,217,27.0,37.0,1051,951.0,Model analysis tools for TensorFlow.,35.0,27,True,2021-04-21 20:35:18.000000,0.30.0,37.0,tensorflow-model-analysis,,\"['tensorflow', 'jupyter']\",,5586616.0,20.0,,https://pypi.org/project/tensorflow-model-analysis,2021-04-21 20:51:14.000000,20.0,5586616.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n245,agate,wireservice/agate,,others,https://github.com/wireservice/agate,https://github.com/wireservice/agate,MIT,2014-04-25 13:59:09.000000,2021-03-10 22:20:57.000000,2021-03-10 22:04:12.000000,132,54.0,588.0,1038,1356.0,A Python data analysis library that is optimized for humans instead of machines.,47.0,27,True,2018-03-11 14:37:30.000000,1.6.1,24.0,agate,conda-forge/agate,,,491540.0,787.0,545.0,https://pypi.org/project/agate,2018-03-11 14:37:30.000000,242.0,490286.0,https://anaconda.org/conda-forge/agate,2018-08-19 06:02:58.597000,62705.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n246,Mesh,tensorflow/mesh,,distributed-ml,https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34.000000,2021-04-20 18:36:01.000000,2021-04-20 18:35:53.000000,163,79.0,13.0,985,603.0,Mesh TensorFlow: Model Parallelism Made Easier.,41.0,27,True,2021-03-24 19:03:46.000000,0.1.19,25.0,mesh-tensorflow,,['tensorflow'],,93556.0,578.0,522.0,https://pypi.org/project/mesh-tensorflow,2021-03-24 19:03:46.000000,56.0,93556.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n247,petl,petl-developers/petl,,data-pipelines,https://github.com/petl-developers/petl,https://github.com/petl-developers/petl,MIT,2011-08-19 09:51:03.000000,2021-04-17 17:45:24.000000,2021-04-17 17:45:24.000000,153,68.0,346.0,876,1144.0,Python Extract Transform and Load Tables of Data.,46.0,27,True,2021-03-27 03:06:14.000000,1.7.4,79.0,petl,conda-forge/petl,,,34488.0,490.0,376.0,https://pypi.org/project/petl,2021-03-27 03:06:14.000000,114.0,34068.0,https://anaconda.org/conda-forge/petl,2021-04-05 21:49:41.242000,23127.0,2.0,http://petl.readthedocs.org,,,,,,,,,,,,,,,,,,,,,,,,,,\n248,pmdarima,alkaline-ml/pmdarima,,time-series-data,https://github.com/alkaline-ml/pmdarima,https://github.com/alkaline-ml/pmdarima,MIT,2017-03-30 14:58:30.000000,2021-04-19 22:48:13.000000,2021-04-19 21:26:02.000000,163,18.0,214.0,863,1029.0,\"A statistical library designed to fill the void in Python's time series analysis capabilities, including the..\",17.0,27,True,2021-04-19 22:17:02.000000,1.8.2,33.0,pmdarima,,,,397824.0,897.0,885.0,https://pypi.org/project/pmdarima,2021-04-19 22:17:02.000000,12.0,397824.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n249,PyVista,pyvista/pyvista,,data-viz,https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000000,2021-04-22 10:13:52.000000,2021-04-19 23:38:29.000000,153,134.0,307.0,775,2178.0,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,56.0,27,True,2021-04-14 05:45:14.000000,0.29.1,41.0,pyvista,conda-forge/pyvista,['jupyter'],71.0,30066.0,326.0,300.0,https://pypi.org/project/pyvista,2021-04-14 05:45:14.000000,26.0,26655.0,https://anaconda.org/conda-forge/pyvista,2021-04-14 12:11:54.123000,78448.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n250,patsy,pydata/patsy,,probabilistics,https://github.com/pydata/patsy,https://github.com/pydata/patsy,BSD-2-Clause,2012-07-10 12:30:06.000000,2020-09-09 13:00:29.000000,2018-10-31 21:55:48.000000,85,78.0,52.0,744,517.0,Describing statistical models in Python using symbolic formulas.,13.0,27,False,2018-10-28 05:07:55.000000,0.5.1,8.0,patsy,conda-forge/patsy,,,2709784.0,38004.0,33080.0,https://pypi.org/project/patsy,2018-10-28 03:59:51.000000,4924.0,2657943.0,https://anaconda.org/conda-forge/patsy,2018-10-28 05:21:35.412000,2903098.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n251,zarr,zarr-developers/zarr-python,,data-containers,https://github.com/zarr-developers/zarr-python,https://github.com/zarr-developers/zarr-python,MIT,2015-12-15 14:49:40.000000,2021-04-21 19:12:53.000000,2021-04-21 18:51:41.000000,112,187.0,234.0,678,1392.0,\"An implementation of chunked, compressed, N-dimensional arrays for Python.\",38.0,27,True,2021-04-16 12:45:40.000000,2.7.1,33.0,zarr,conda-forge/zarr,,,83337.0,717.0,645.0,https://pypi.org/project/zarr,2021-04-16 12:45:40.000000,72.0,71545.0,https://anaconda.org/conda-forge/zarr,2021-04-17 17:39:25.182000,695740.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n252,data-validation,tensorflow/data-validation,,data-viz,https://github.com/tensorflow/data-validation,https://github.com/tensorflow/data-validation,Apache-2.0,2018-07-02 15:47:02.000000,2021-04-21 22:22:08.000000,2021-04-21 21:40:34.000000,95,37.0,85.0,537,611.0,Library for exploring and validating machine learning data.,20.0,27,True,2021-04-21 22:22:08.000000,0.30.0,27.0,tensorflow-data-validation,,\"['tensorflow', 'jupyter']\",210.0,5939042.0,282.0,264.0,https://pypi.org/project/tensorflow-data-validation,2021-04-21 22:22:08.000000,18.0,5939036.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n253,TensorFlow I/O,tensorflow/io,,tensorflow-utils,https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05.000000,2021-04-21 20:41:56.000000,2021-04-19 14:26:22.000000,156,129.0,281.0,444,1397.0,\"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.\",73.0,27,True,2021-04-16 17:14:10.000000,0.17.1,22.0,tensorflow-io,,['tensorflow'],,123556.0,155.0,155.0,https://pypi.org/project/tensorflow-io,2020-12-15 00:42:35.000000,0.0,123556.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n254,audioread,beetbox/audioread,,audio,https://github.com/beetbox/audioread,https://github.com/beetbox/audioread,MIT,2011-11-08 19:53:18.000000,2021-03-16 02:44:53.632000,2020-10-20 11:22:05.000000,83,31.0,44.0,360,232.0,cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python.,20.0,27,True,2020-10-20 11:23:09.000000,2.1.9,25.0,audioread,conda-forge/audioread,,,550787.0,5320.0,4734.0,https://pypi.org/project/audioread,2020-10-20 11:23:09.000000,586.0,546896.0,https://anaconda.org/conda-forge/audioread,2021-03-16 02:44:53.632000,221820.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n255,CNTK,microsoft/CNTK,,ml-frameworks,https://github.com/microsoft/CNTK,https://github.com/microsoft/CNTK,MIT,2015-11-26 09:52:06.000000,2020-12-09 22:21:57.000000,2020-03-31 15:55:14.000000,4409,836.0,2520.0,16989,16116.0,\"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.\",266.0,26,False,2019-04-26 14:13:32.000000,2.7,32.0,cntk,,,13672.0,2408.0,34.0,,https://pypi.org/project/cntk,2020-12-09 22:21:57.000000,34.0,2191.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n256,InsightFace,deepinsight/insightface,,image,https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,MIT,2017-09-01 00:36:51.000000,2021-04-21 14:51:29.000000,2021-04-21 14:51:08.000000,3036,725.0,695.0,8989,1511.0,Face Analysis Project on MXNet and PyTorch.,17.0,26,True,2019-09-07 13:47:11.000000,0.1.5,6.0,insightface,,['mxnet'],,3243.0,66.0,64.0,https://pypi.org/project/insightface,2019-09-07 13:47:11.000000,2.0,3243.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n257,Ludwig,ludwig-ai/ludwig,,ml-frameworks,https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000000,2021-04-22 09:08:09.000000,2021-04-21 05:27:39.000000,887,116.0,424.0,7655,2102.0,Ludwig is a toolbox that allows to train and evaluate deep learning models without the need to write code.,90.0,26,True,2021-02-01 00:23:30.000000,0.3.3,17.0,ludwig,,['tensorflow'],,2125.0,95.0,83.0,https://pypi.org/project/ludwig,2021-02-01 00:16:18.000000,12.0,2125.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n258,ParlAI,facebookresearch/ParlAI,,nlp,https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44.000000,2021-04-22 06:36:34.000000,2021-04-21 18:46:18.000000,1475,98.0,885.0,7133,3721.0,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,147.0,26,True,2021-03-17 18:35:13.000000,1.1.1,14.0,parlai,,['pytorch'],,2647.0,20.0,20.0,https://pypi.org/project/parlai,2021-03-01 21:11:23.000000,0.0,2647.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n259,PySyft,OpenMined/PySyft,,privacy-ml,https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,Apache-2.0,2017-07-18 20:41:16.000000,2021-04-22 13:52:10.000000,2021-04-22 07:16:57.000000,1584,189.0,2695.0,7092,7791.0,A library for answering questions using data you cannot see.,367.0,26,True,2020-11-12 19:57:58.000000,0.3.0,50.0,syft,,['pytorch'],,3614.0,6.0,,https://pypi.org/project/syft,2021-04-01 11:31:12.000000,6.0,3614.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n260,Facets Overview,pair-code/facets,,data-viz,https://github.com/PAIR-code/facets,https://github.com/PAIR-code/facets,Apache-2.0,2017-07-07 14:03:03.000000,2021-02-04 17:22:42.000000,2021-02-04 17:22:41.000000,834,76.0,76.0,6552,262.0,Visualizations for machine learning datasets.,28.0,26,True,2019-07-24 15:57:06.000000,1.0.0,4.0,facets-overview,,['jupyter'],,137649.0,48.0,42.0,https://pypi.org/project/facets-overview,2019-07-24 15:57:06.000000,6.0,137649.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n261,backtrader,mementum/backtrader,,financial-data,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52.000000,2021-04-20 15:18:39.000000,2021-02-11 20:51:09.000000,1921,22.0,,6227,2383.0,Python Backtesting library for trading strategies.,51.0,26,False,,,155.0,backtrader,,,,28008.0,601.0,531.0,https://pypi.org/project/backtrader,2020-07-03 13:02:14.000000,70.0,28008.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n262,carla,carla-simulator/carla,,others,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000000,2021-04-22 14:51:36.000000,2021-04-21 21:38:33.000000,1689,331.0,2816.0,5863,4761.0,Open-source simulator for autonomous driving research.,122.0,26,True,2020-12-23 07:08:35.000000,0.9.11,22.0,carla,,,,1020.0,68.0,64.0,https://pypi.org/project/carla,2019-04-28 17:45:24.000000,4.0,1020.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n263,featuretools,alteryx/featuretools,,hyperopt,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17.000000,2021-04-21 21:58:17.000000,2021-04-15 22:24:55.000000,718,114.0,426.0,5519,,An open source python library for automated feature engineering.,49.0,26,True,2021-03-31 23:42:30.000000,0.23.3,70.0,featuretools,conda-forge/featuretools,,,221015.0,790.0,720.0,https://pypi.org/project/featuretools,2021-03-31 23:43:45.000000,70.0,219204.0,https://anaconda.org/conda-forge/featuretools,2021-04-07 15:01:00.520000,50725.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n264,scikit-surprise,NicolasHug/Surprise,,recommender-systems,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38.000000,2020-10-13 01:22:58.850000,2020-08-05 17:45:59.000000,861,51.0,288.0,4809,622.0,A Python scikit for building and analyzing recommender systems.,38.0,26,True,2020-07-19 14:50:48.000000,1.1.1,9.0,scikit-surprise,conda-forge/scikit-surprise,,,55353.0,1056.0,1008.0,https://pypi.org/project/scikit-surprise,2020-07-19 14:50:48.000000,48.0,51014.0,https://anaconda.org/conda-forge/scikit-surprise,2020-10-13 01:22:58.850000,169221.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n265,PyTorch3D,facebookresearch/pytorch3d,,image,https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,MIT,2019-10-25 02:23:45.000000,2021-04-22 14:09:47.000000,2021-04-22 14:09:43.000000,555,72.0,487.0,4733,414.0,PyTorch3D is FAIR's library of reusable components for deep learning with 3D data.,57.0,26,True,2021-02-09 23:13:45.000000,0.4.0,7.0,pytorch3d,pytorch3d/pytorch3d,['pytorch'],,9152.0,69.0,69.0,https://pypi.org/project/pytorch3d,2021-02-09 23:13:45.000000,0.0,8621.0,https://anaconda.org/pytorch3d/pytorch3d,2021-02-09 22:34:07.773000,9028.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n266,Metaflow,Netflix/metaflow,,ml-experiments,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000000,2021-04-21 22:54:06.000000,2021-04-21 22:54:05.000000,352,134.0,149.0,4289,205.0,Build and manage real-life data science projects with ease.,31.0,26,True,2021-04-19 22:28:47.000000,2.2.9,19.0,metaflow,conda-forge/metaflow,,,47749.0,118.0,116.0,https://pypi.org/project/metaflow,2021-04-19 23:14:29.000000,2.0,46831.0,https://anaconda.org/conda-forge/metaflow,2021-04-20 02:27:31.571000,14693.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n267,Lucid,tensorflow/lucid,,interpretability,https://github.com/tensorflow/lucid,https://github.com/tensorflow/lucid,Apache-2.0,2018-01-25 17:41:44.000000,2021-03-19 16:01:00.000000,2021-03-19 15:48:33.000000,592,65.0,97.0,4175,667.0,A collection of infrastructure and tools for research in neural network interpretability.,40.0,26,True,2021-03-19 16:01:00.000000,0.3.10,17.0,lucid,,['tensorflow'],,1801.0,553.0,547.0,https://pypi.org/project/lucid,2021-03-19 16:01:00.000000,6.0,1801.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n268,pyAudioAnalysis,tyiannak/pyAudioAnalysis,,audio,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13.000000,2021-04-20 14:36:11.000000,2021-04-20 14:36:07.000000,963,165.0,107.0,3875,678.0,\"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.\",23.0,26,True,2020-09-29 21:30:02.000000,0.3.6,15.0,pyAudioAnalysis,,,,15390.0,222.0,200.0,https://pypi.org/project/pyAudioAnalysis,2020-09-29 21:30:02.000000,22.0,15390.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n269,espnet,espnet/espnet,,audio,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000000,2021-04-21 17:18:05.000000,2021-04-19 17:59:00.000000,1145,165.0,1127.0,3698,11161.0,End-to-End Speech Processing Toolkit.,146.0,26,True,2021-04-07 04:52:16.000000,0.9.9,34.0,espnet,,,61.0,2468.0,7.0,7.0,https://pypi.org/project/espnet,2021-04-07 04:52:16.000000,0.0,2467.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n270,yellowbrick,DistrictDataLabs/yellowbrick,,interpretability,https://github.com/DistrictDataLabs/yellowbrick,https://github.com/DistrictDataLabs/yellowbrick,Apache-2.0,2016-05-18 14:12:17.000000,2021-04-22 11:36:21.000000,2021-04-22 11:36:21.000000,478,95.0,531.0,3190,848.0,Visual analysis and diagnostic tools to facilitate machine learning model selection.,97.0,26,True,2021-02-13 20:31:18.000000,1.3.post1,22.0,yellowbrick,,['sklearn'],,149852.0,62.0,,https://pypi.org/project/yellowbrick,2021-02-13 20:42:26.000000,62.0,149852.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n271,AutoGluon,awslabs/autogluon,,hyperopt,https://github.com/awslabs/autogluon,https://github.com/awslabs/autogluon,Apache-2.0,2019-07-29 18:51:24.000000,2021-04-22 10:51:31.000000,2021-04-22 10:51:31.000000,402,126.0,318.0,3126,580.0,\"AutoGluon: AutoML for Text, Image, and Tabular Data.\",56.0,26,True,2021-03-01 22:07:04.000000,0.1.0,393.0,autogluon,,['mxnet'],,33576.0,48.0,48.0,https://pypi.org/project/autogluon,2021-04-22 09:04:48.000000,0.0,33576.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n272,Stable Baselines,hill-a/stable-baselines,,reinforcement-learning,https://github.com/hill-a/stable-baselines,https://github.com/hill-a/stable-baselines,MIT,2018-07-02 14:28:59.000000,2021-04-19 22:11:48.000000,2021-04-19 22:11:45.000000,604,128.0,748.0,3086,836.0,\"A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.\",110.0,26,True,2021-04-06 12:37:09.000000,2.10.2,31.0,stable-baselines,,,,14755.0,50.0,,https://pypi.org/project/stable-baselines,2021-04-06 12:37:09.000000,50.0,14755.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n273,Hub,activeloopai/Hub,,data-pipelines,https://github.com/activeloopai/Hub,https://github.com/activeloopai/Hub,MPL-2.0,2019-08-09 06:17:59.000000,2021-04-22 14:52:55.000000,2021-04-22 09:57:12.000000,234,24.0,228.0,3086,2075.0,Fastest unstructured dataset management for TensorFlow/PyTorch. Stream data real-time & version-control it...,75.0,26,True,2021-04-19 13:18:34.000000,1.3.4,87.0,hub,,\"['tensorflow', 'pytorch']\",,3372.0,176.0,124.0,https://pypi.org/project/hub,2021-04-06 15:03:12.000000,52.0,3372.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n274,pytorch-summary,sksq96/pytorch-summary,,pytorch-utils,https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04.000000,2021-03-11 12:50:20.000000,2020-08-07 01:16:40.000000,360,116.0,36.0,3053,56.0,Model summary in PyTorch similar to `model.summary()` in Keras.,11.0,26,True,2018-09-26 05:07:28.000000,1.5.1,12.0,torchsummary,,['pytorch'],,73045.0,2435.0,2317.0,https://pypi.org/project/torchsummary,2018-09-26 05:07:28.000000,118.0,73045.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n275,textract,deanmalmgren/textract,,data-loading,https://github.com/deanmalmgren/textract,https://github.com/deanmalmgren/textract,MIT,2014-07-03 20:36:59.000000,2021-04-19 14:04:08.000000,2019-11-14 08:37:39.000000,424,84.0,121.0,2990,556.0,extract text from any document. no muss. no fuss.,30.0,26,False,2019-08-26 15:05:53.000000,1.6.3,15.0,textract,conda-forge/textract,,,43608.0,192.0,,https://pypi.org/project/textract,2019-08-26 15:05:53.000000,192.0,43408.0,https://anaconda.org/conda-forge/textract,2017-03-20 21:15:33.254000,11035.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n276,vaderSentiment,cjhutto/vaderSentiment,,nlp,https://github.com/cjhutto/vaderSentiment,https://github.com/cjhutto/vaderSentiment,MIT,2014-11-17 16:31:45.000000,2021-04-16 20:16:53.000000,2021-03-15 18:43:06.000000,762,31.0,74.0,2939,127.0,VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based..,10.0,26,True,2020-05-22 15:07:00.000000,3.3.2,15.0,vadersentiment,,,,142521.0,2810.0,2524.0,https://pypi.org/project/vadersentiment,2020-05-22 15:07:00.000000,286.0,142521.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n277,TensorForce,tensorforce/tensorforce,,reinforcement-learning,https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22.000000,2021-04-20 21:34:39.000000,2021-04-20 21:34:34.000000,495,12.0,553.0,2921,2034.0,Tensorforce: a TensorFlow library for applied reinforcement learning.,76.0,26,True,2021-03-22 21:45:44.000000,0.6.3,12.0,tensorforce,,['tensorflow'],,1758.0,46.0,,https://pypi.org/project/tensorforce,2019-09-07 13:56:18.000000,46.0,1758.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n278,nevergrad,facebookresearch/nevergrad,,hyperopt,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000000,2021-04-22 14:07:52.000000,2021-04-22 14:07:50.000000,279,84.0,129.0,2916,819.0,A Python toolbox for performing gradient-free optimization.,42.0,26,True,2021-01-28 12:05:40.000000,0.4.3,30.0,nevergrad,conda-forge/nevergrad,,,29768.0,172.0,158.0,https://pypi.org/project/nevergrad,2021-04-19 09:16:19.000000,14.0,29117.0,https://anaconda.org/conda-forge/nevergrad,2020-12-14 18:21:29.267000,7821.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n279,DeepChem,deepchem/deepchem,,others,https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000000,2021-04-22 04:02:39.000000,2021-04-21 07:59:09.000000,968,368.0,880.0,2892,6408.0,\"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.\",158.0,26,True,2021-03-18 03:10:52.000000,2.5.0,251.0,deepchem,,['tensorflow'],,6956.0,42.0,38.0,https://pypi.org/project/deepchem,2021-04-21 08:01:48.000000,4.0,6956.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n280,missingno,ResidentMario/missingno,,data-viz,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50.000000,2020-12-28 16:13:39.000000,2020-12-28 16:13:38.000000,353,19.0,88.0,2749,170.0,Missing data visualization module for Python.,15.0,26,True,2019-07-09 16:05:14.000000,0.4.2,22.0,missingno,conda-forge/missingno,,,326557.0,3592.0,3440.0,https://pypi.org/project/missingno,2019-07-09 16:05:14.000000,152.0,324632.0,https://anaconda.org/conda-forge/missingno,2020-02-15 10:07:41.253000,86666.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n281,ClearML,allegroai/clearml,,ml-experiments,https://github.com/allegroai/clearml,https://github.com/allegroai/clearml,Apache-2.0,2019-06-10 08:18:32.000000,2021-04-20 15:09:38.000000,2021-04-20 15:09:22.000000,340,77.0,213.0,2363,1129.0,\"ClearML - Auto-Magical Suite of tools to streamline your ML workflow. Experiment Manager, ML-Ops and Data-Management.\",28.0,26,True,2021-03-16 14:57:31.000000,0.17.5,40.0,clearml,,,300.0,18267.0,30.0,30.0,https://pypi.org/project/clearml,2021-04-11 22:23:08.000000,0.0,16889.0,,,,2.0,,,allegroai/trains,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,30033.0,,,,,,,,,,,,,,,,,,,,\n282,gpustat,wookayin/gpustat,,gpu-utilities,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43.000000,2021-03-23 06:32:48.000000,2021-03-23 06:32:48.000000,195,19.0,49.0,2334,168.0,A simple command-line utility for querying and monitoring GPU status.,12.0,26,True,2019-07-22 06:37:00.000000,0.6.0,11.0,gpustat,conda-forge/gpustat,,,392680.0,841.0,783.0,https://pypi.org/project/gpustat,2021-01-02 05:59:41.000000,58.0,390771.0,https://anaconda.org/conda-forge/gpustat,2020-11-24 19:59:04.772000,47728.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n283,Captum,pytorch/captum,,interpretability,https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000000,2021-04-21 19:58:57.000000,2021-04-19 20:42:15.000000,228,49.0,168.0,2292,804.0,Model interpretability and understanding for PyTorch.,70.0,26,True,2021-01-23 18:11:12.000000,0.3.1,5.0,captum,,['pytorch'],,18225.0,155.0,155.0,https://pypi.org/project/captum,2021-01-22 20:55:47.000000,0.0,18225.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n284,GluonNLP,dmlc/gluon-nlp,,nlp,https://github.com/dmlc/gluon-nlp,https://github.com/dmlc/gluon-nlp,Apache-2.0,2018-04-04 20:57:13.000000,2021-04-22 00:11:47.000000,2021-04-22 00:11:47.000000,508,252.0,289.0,2266,834.0,\"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..\",81.0,26,True,2020-08-13 19:17:42.000000,0.10.0,26.0,gluonnlp,,['mxnet'],,46319.0,473.0,451.0,https://pypi.org/project/gluonnlp,2020-08-13 19:17:42.000000,22.0,46319.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n285,aubio,aubio/aubio,,audio,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44.000000,2021-04-13 18:12:28.000000,2021-01-19 09:51:49.000000,307,114.0,174.0,2093,4111.0,a library for audio and music analysis.,24.0,26,False,2019-02-27 09:00:43.000000,0.4.9,10.0,aubio,conda-forge/aubio,,,11003.0,253.0,217.0,https://pypi.org/project/aubio,2019-02-08 11:21:02.000000,36.0,2576.0,https://anaconda.org/conda-forge/aubio,2021-01-19 16:59:52.641000,412954.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n286,spark-nlp,JohnSnowLabs/spark-nlp,,nlp,https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000000,2021-04-22 14:37:44.000000,2021-04-22 14:37:43.000000,431,74.0,392.0,2075,7872.0,State of the Art Natural Language Processing.,84.0,26,True,2021-04-21 14:13:37.000000,3.0.2,83.0,spark-nlp,,['spark'],,686333.0,0.0,,https://pypi.org/project/spark-nlp,2021-04-21 13:20:50.000000,0.0,686333.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n287,scikit-plot,reiinakano/scikit-plot,,interpretability,https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59.000000,2021-02-26 14:37:45.000000,2018-08-19 12:37:47.000000,249,21.0,39.0,2067,130.0,An intuitive library to add plotting functionality to scikit-learn objects.,13.0,26,False,2018-08-19 12:21:01.000000,0.3.7,27.0,scikit-plot,conda-forge/scikit-plot,['sklearn'],,132271.0,935.0,881.0,https://pypi.org/project/scikit-plot,2018-08-19 12:18:46.000000,54.0,130342.0,https://anaconda.org/conda-forge/scikit-plot,2019-06-05 14:23:59.043000,86817.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n288,facenet-pytorch,timesler/facenet-pytorch,,image,https://github.com/timesler/facenet-pytorch,https://github.com/timesler/facenet-pytorch,MIT,2019-05-25 01:29:24.000000,2021-04-07 10:55:02.000000,2021-04-01 03:10:16.000000,430,34.0,86.0,2009,231.0,Pretrained Pytorch face detection (MTCNN) and recognition (InceptionResnet) models.,12.0,26,True,2021-03-10 01:00:20.000000,2.5.2,31.0,facenet-pytorch,,['pytorch'],82368.0,28160.0,343.0,337.0,https://pypi.org/project/facenet-pytorch,2021-03-10 01:00:20.000000,6.0,23315.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n289,ipyparallel,ipython/ipyparallel,,distributed-ml,https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,BSD-3-Clause,2015-04-09 07:43:55.000000,2021-04-19 18:56:13.000000,2021-04-19 18:56:13.000000,768,146.0,107.0,1943,,Interactive Parallel Computing in Python.,97.0,26,True,2020-05-05 18:42:38.000000,6.3.0,21.0,ipyparallel,conda-forge/ipyparallel,['jupyter'],,177864.0,1987.0,1497.0,https://pypi.org/project/ipyparallel,2020-05-05 18:42:38.000000,490.0,170830.0,https://anaconda.org/conda-forge/ipyparallel,2021-01-22 17:12:52.539000,422066.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n290,TorchServe,pytorch/serve,,model-serialisation,https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000000,2021-04-22 06:24:00.000000,2021-04-22 00:46:42.000000,265,160.0,438.0,1717,1223.0,Model Serving on PyTorch.,67.0,26,True,2021-03-15 22:31:02.000000,0.3.1,7.0,torchserve,pytorch/torchserve,['pytorch'],206.0,13685.0,38.0,38.0,https://pypi.org/project/torchserve,2021-03-15 21:14:14.000000,0.0,9839.0,https://anaconda.org/pytorch/torchserve,2021-03-18 18:37:54.539000,7847.0,2.0,,,pytorch/torchserve,https://hub.docker.com/r/pytorch/torchserve,2020-12-18 18:32:51.570336,3.0,57183.0,,,,,,,,,,,,,,,,,,,,\n291,haystack,deepset-ai/haystack,,nlp,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000000,2021-04-22 14:45:30.000000,2021-04-22 14:45:29.000000,318,75.0,489.0,1703,603.0,End-to-end Python framework for building natural language search interfaces to data. Leverages Transformers and the..,43.0,26,True,2021-04-13 15:04:29.000000,0.8.0,34.0,haystack,,,,1723.0,210.0,44.0,https://pypi.org/project/haystack,2017-07-03 04:44:52.000000,166.0,1723.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n292,Pythran,serge-sans-paille/pythran,,others,https://github.com/serge-sans-paille/pythran,https://github.com/serge-sans-paille/pythran,BSD-3-Clause,2012-05-29 08:02:14.000000,2021-04-21 09:15:08.000000,2021-04-20 21:44:07.000000,139,104.0,563.0,1530,3356.0,Ahead of Time compiler for numeric kernels.,52.0,26,True,2021-03-31 17:17:15.000000,0.9.9,46.0,pythran,conda-forge/pythran,,,16073.0,77.0,51.0,https://pypi.org/project/pythran,2021-03-31 17:17:15.000000,26.0,11887.0,https://anaconda.org/conda-forge/pythran,2021-04-01 20:02:42.397000,146511.0,2.0,,,,,,,,,,,,,,,,,,,,pythran,python-pythran,,,,,,\n293,Ax,facebook/Ax,,hyperopt,https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000000,2021-04-22 07:16:55.000000,2021-04-22 07:16:50.000000,151,42.0,205.0,1471,1094.0,Adaptive Experimentation Platform.,96.0,26,True,2021-02-24 16:59:13.000000,0.1.20,21.0,ax-platform,,['pytorch'],,45295.0,158.0,154.0,https://pypi.org/project/ax-platform,2021-02-24 16:59:13.000000,4.0,45295.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n294,Elephas,maxpumperla/elephas,,distributed-ml,https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19.000000,2021-04-21 22:11:22.000000,2021-04-21 22:10:18.000000,287,22.0,122.0,1467,496.0,Distributed Deep learning with Keras & Spark.,27.0,26,True,2021-04-21 22:11:22.000000,2.1.0,21.0,elephas,,\"['keras', 'spark']\",,15880.0,43.0,40.0,https://pypi.org/project/elephas,2021-04-21 22:11:22.000000,3.0,15880.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n295,hnswlib,nmslib/hnswlib,,nn-search,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000000,2021-04-20 04:39:36.000000,2021-02-04 04:34:33.000000,263,91.0,109.0,1461,275.0,Header-only C++/python library for fast approximate nearest neighbors.,41.0,26,True,2021-02-04 04:55:19.000000,0.5.1,5.0,hnswlib,,,,34896.0,111.0,109.0,https://pypi.org/project/hnswlib,2021-02-04 04:55:19.000000,2.0,34896.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n296,jellyfish,jamesturk/jellyfish,,nlp,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,BSD-2-Clause,2010-07-09 20:41:11.000000,2021-04-21 13:56:29.000000,2021-04-21 13:56:29.000000,128,12.0,89.0,1435,,a python library for doing approximate and phonetic matching of strings.,22.0,26,True,2020-05-21 20:37:01.000000,0.8.2,27.0,jellyfish,conda-forge/jellyfish,,,1419328.0,2951.0,2305.0,https://pypi.org/project/jellyfish,2020-05-21 20:37:01.000000,646.0,1417093.0,https://anaconda.org/conda-forge/jellyfish,2021-01-08 15:04:47.681000,122961.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n297,tesserocr,sirfz/tesserocr,,ocr,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36.000000,2021-03-27 15:02:05.000000,2021-03-23 20:36:58.000000,201,63.0,148.0,1435,157.0,A Python wrapper for the tesseract-ocr API.,24.0,26,True,2020-03-17 17:45:44.000000,2.5.1,15.0,tesserocr,conda-forge/tesserocr,,,59798.0,586.0,486.0,https://pypi.org/project/tesserocr,2020-03-17 17:45:44.000000,100.0,57450.0,https://anaconda.org/conda-forge/tesserocr,2021-01-13 16:38:14.456000,42270.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n298,TFX,tensorflow/tfx,,data-pipelines,https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000000,2021-04-22 08:14:23.000000,2021-04-22 01:22:49.000000,423,239.0,356.0,1394,3365.0,TFX is an end-to-end platform for deploying production ML pipelines.,111.0,26,True,2021-04-12 20:14:54.000000,0.29.0,45.0,tfx,,['tensorflow'],,241778.0,4.0,,https://pypi.org/project/tfx,2021-04-01 02:35:31.000000,4.0,241778.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n299,petastorm,uber/petastorm,,distributed-ml,https://github.com/uber/petastorm,https://github.com/uber/petastorm,Apache-2.0,2018-06-15 23:15:29.000000,2021-04-19 21:41:35.000000,2021-04-14 19:08:15.000000,188,124.0,116.0,1132,621.0,Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets..,38.0,26,True,2020-12-15 18:37:49.000000,0.9.8,64.0,petastorm,,,288.0,93755.0,29.0,29.0,https://pypi.org/project/petastorm,2020-12-15 18:37:49.000000,0.0,93747.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n300,TF Model Optimization,tensorflow/model-optimization,,tensorflow-utils,https://github.com/tensorflow/model-optimization,https://github.com/tensorflow/model-optimization,Apache-2.0,2018-10-31 20:34:28.000000,2021-04-22 09:59:30.000000,2021-04-22 02:58:49.000000,240,87.0,116.0,1030,524.0,\"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.\",48.0,26,True,2020-09-14 04:46:03.000000,0.5.0,21.0,tensorflow-model-optimization,,['tensorflow'],,133096.0,745.0,739.0,https://pypi.org/project/tensorflow-model-optimization,2021-04-19 08:49:52.000000,6.0,133096.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n301,arviz,arviz-devs/arviz,,interpretability,https://github.com/arviz-devs/arviz,https://github.com/arviz-devs/arviz,Apache-2.0,2015-07-29 11:51:10.000000,2021-04-22 15:22:22.000000,2021-04-17 19:01:57.000000,201,119.0,465.0,992,,Exploratory analysis of Bayesian models with Python.,79.0,26,True,2021-02-21 19:39:56.000000,0.11.2,23.0,arviz,conda-forge/arviz,,98.0,232082.0,865.0,829.0,https://pypi.org/project/arviz,2021-02-21 19:39:56.000000,36.0,221147.0,https://anaconda.org/conda-forge/arviz,2021-04-20 19:35:43.998000,251438.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n302,fancyimpute,iskandr/fancyimpute,,sklearn-utils,https://github.com/iskandr/fancyimpute,https://github.com/iskandr/fancyimpute,Apache-2.0,2015-11-05 23:39:34.000000,2021-03-30 16:22:41.000000,2021-01-25 00:27:51.000000,150,3.0,104.0,958,198.0,Multivariate imputation and matrix completion algorithms implemented in Python.,11.0,26,True,2021-03-30 16:22:41.000000,0.5.5,26.0,fancyimpute,,['sklearn'],,15818.0,919.0,877.0,https://pypi.org/project/fancyimpute,2020-07-16 21:36:59.000000,42.0,15818.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n303,bcolz,Blosc/bcolz,,data-containers,https://github.com/Blosc/bcolz,https://github.com/Blosc/bcolz,BSD-3-Clause,2010-08-18 15:27:02.000000,2021-04-02 08:59:38.000000,2020-09-10 12:12:45.000000,117,126.0,122.0,914,1280.0,A columnar data container that can be compressed.,33.0,26,True,2018-04-13 07:44:26.000000,1.2.1,23.0,bcolz,conda-forge/bcolz,,,34069.0,2526.0,1558.0,https://pypi.org/project/bcolz,2018-04-13 07:44:26.000000,968.0,29340.0,https://anaconda.org/conda-forge/bcolz,2019-11-05 21:09:48.045000,236460.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n304,kmodes,nicodv/kmodes,,others,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40.000000,2021-03-07 06:05:41.000000,2021-03-07 06:05:39.000000,341,18.0,111.0,835,462.0,\"Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data.\",17.0,26,True,2021-02-13 03:34:23.000000,0.11.0,13.0,kmodes,,,,104831.0,534.0,508.0,https://pypi.org/project/kmodes,2021-02-13 03:26:34.000000,26.0,104831.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n305,pyclustering,annoviko/pyclustering,,others,https://github.com/annoviko/pyclustering,https://github.com/annoviko/pyclustering,BSD-3-Clause,2014-02-25 18:59:03.000000,2021-02-12 23:22:26.000000,2021-02-12 19:04:59.000000,192,49.0,584.0,819,2079.0,\"pyclustring is a Python, C++ data mining library.\",26.0,26,True,2020-11-25 22:33:07.000000,0.10.1.2,46.0,pyclustering,conda-forge/pyclustering,,316.0,39080.0,225.0,189.0,https://pypi.org/project/pyclustering,2020-11-25 22:41:20.000000,36.0,37877.0,https://anaconda.org/conda-forge/pyclustering,2021-01-25 21:14:55.053000,19169.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n306,pythreejs,jupyter-widgets/pythreejs,,data-viz,https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,BSD-3-Clause,2013-12-23 17:02:11.000000,2021-03-02 13:32:39.505000,2021-02-26 14:01:59.000000,158,62.0,141.0,722,1659.0,A Jupyter - Three.js bridge.,27.0,26,True,2021-02-26 14:01:21.000000,2.3.0,43.0,pythreejs,conda-forge/pythreejs,['jupyter'],,39410.0,49.0,15.0,https://pypi.org/project/pythreejs,2021-02-26 14:01:21.000000,26.0,23330.0,https://anaconda.org/conda-forge/pythreejs,2021-03-02 13:32:39.505000,291295.0,3.0,,,,,,,,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,2021-02-26 13:59:06.062000,8.0,11143.0,,,,,,,,,,,,,,\n307,TensorFlow Text,tensorflow/text,,nlp,https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000000,2021-04-21 16:13:58.000000,2021-04-20 22:01:49.000000,87,44.0,93.0,719,373.0,Making text a first-class citizen in TensorFlow.,37.0,26,True,2021-01-13 04:36:01.000000,2.4.3,33.0,tensorflow-text,,['tensorflow'],,360484.0,608.0,604.0,https://pypi.org/project/tensorflow-text,2021-04-06 23:21:59.000000,4.0,360484.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n308,CLTK,cltk/cltk,,nlp,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000000,2021-04-14 01:08:05.000000,2021-04-13 02:37:02.000000,300,128.0,371.0,658,3566.0,The Classical Language Toolkit.,111.0,26,True,2021-04-13 02:45:30.000000,1.0.11,181.0,cltk,,,22.0,4751.0,229.0,161.0,https://pypi.org/project/cltk,2021-04-13 02:45:30.000000,68.0,4751.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n309,pyahocorasick,WojciechMula/pyahocorasick,,nlp,https://github.com/WojciechMula/pyahocorasick,https://github.com/WojciechMula/pyahocorasick,BSD-3-Clause,2013-05-30 19:55:46.000000,2021-03-27 18:19:12.000000,2021-03-27 17:10:43.000000,88,33.0,68.0,600,412.0,Python module (C extension and plain python) implementing Aho-Corasick algorithm.,21.0,26,True,2021-03-27 18:19:12.000000,1.4.2,24.0,pyahocorasick,conda-forge/pyahocorasick,,,224792.0,667.0,563.0,https://pypi.org/project/pyahocorasick,2021-03-27 18:19:12.000000,104.0,221817.0,https://anaconda.org/conda-forge/pyahocorasick,2020-10-13 12:20:05.350000,119026.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n310,SMAC3,automl/SMAC3,,hyperopt,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-3-Clause,2016-08-17 10:58:05.000000,2021-04-12 07:55:03.000000,2020-10-29 10:14:55.000000,159,77.0,251.0,570,1888.0,Sequential Model-based Algorithm Configuration.,30.0,26,True,2021-03-15 08:26:39.000000,0.13.1,29.0,smac,,,,32281.0,58.0,,https://pypi.org/project/smac,2020-10-29 10:57:56.000000,58.0,32281.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n311,Intake,intake/intake,,data-loading,https://github.com/intake/intake,https://github.com/intake/intake,BSD-2-Clause,2017-08-14 20:44:22.000000,2021-04-14 16:56:03.000000,2021-04-14 16:56:03.000000,99,77.0,196.0,551,1674.0,\"Intake is a lightweight package for finding, investigating, loading and disseminating data.\",60.0,26,True,2021-03-16 19:53:00.000000,0.6.2,21.0,intake,conda-forge/intake,,,11329.0,322.0,248.0,https://pypi.org/project/intake,2021-03-16 19:53:00.000000,74.0,8824.0,https://anaconda.org/conda-forge/intake,2021-03-16 21:22:12.681000,72670.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n312,inflect,jaraco/inflect,,nlp,https://github.com/jaraco/inflect,https://github.com/jaraco/inflect,MIT,2010-06-20 13:43:13.000000,2021-03-26 19:47:09.000000,2021-03-23 00:21:53.000000,59,13.0,63.0,507,,\"Correctly generate plurals, ordinals, indefinite articles; convert numbers to words.\",29.0,26,True,2021-03-03 01:35:47.000000,5.3.0,33.0,inflect,conda-forge/inflect,,,1723126.0,1388.0,,https://pypi.org/project/inflect,2021-03-03 01:35:47.000000,1388.0,1720054.0,https://anaconda.org/conda-forge/inflect,2021-03-03 03:46:48.932000,147500.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n313,tabulator-py,frictionlessdata/tabulator-py,,data-loading,https://github.com/frictionlessdata/tabulator-py,https://github.com/frictionlessdata/tabulator-py,MIT,2015-08-24 05:34:38.000000,2021-03-22 13:33:49.000000,2021-03-22 13:33:48.000000,42,1.0,177.0,204,657.0,Python library for reading and writing tabular data via streams.,25.0,26,True,2021-03-21 07:47:00.000000,1.53.5,141.0,tabulator,conda-forge/tabulator-py,,,195547.0,621.0,517.0,https://pypi.org/project/tabulator,2021-03-21 07:47:00.000000,104.0,194665.0,https://anaconda.org/conda-forge/tabulator-py,2018-07-24 12:57:07.018000,40601.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n314,spleeter,deezer/spleeter,,audio,https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000000,2021-04-21 09:27:54.000000,2021-04-15 15:19:31.000000,1674,84.0,457.0,16209,461.0,Deezer source separation library including pretrained models.,17.0,25,True,2021-04-15 15:05:07.000000,2.2.2,33.0,spleeter,conda-forge/spleeter,['tensorflow'],1022351.0,70115.0,0.0,,https://pypi.org/project/spleeter,2021-04-15 15:05:07.000000,0.0,10438.0,https://anaconda.org/conda-forge/spleeter,2020-06-30 14:33:43.220000,48963.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n315,MMDetection,open-mmlab/mmdetection,,image,https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000000,2021-04-22 12:04:05.000000,2021-04-21 03:30:37.000000,4906,365.0,3402.0,14534,1516.0,OpenMMLab Detection Toolbox and Benchmark.,209.0,25,True,2021-04-02 07:41:57.000000,2.11.0,11.0,,,['pytorch'],,,39.0,39.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n316,PaddleOCR,PaddlePaddle/PaddleOCR,,ocr,https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000000,2021-04-22 13:22:26.000000,2021-04-22 08:22:49.000000,2362,665.0,1107.0,12037,,\"Awesome multilingual OCR toolkits based on PaddlePaddle practical ultra lightweight OCR system, support 80+ languages..\",56.0,25,True,2021-04-19 06:46:17.000000,2.1.0,13.0,paddleocr,,['paddle'],,3945.0,89.0,89.0,https://pypi.org/project/paddleocr,2021-04-13 04:02:10.000000,0.0,3945.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n317,pysc2,deepmind/pysc2,,others,https://github.com/deepmind/pysc2,https://github.com/deepmind/pysc2,Apache-2.0,2017-07-25 18:16:57.000000,2020-07-29 16:22:31.000000,2019-09-27 15:23:22.000000,1103,57.0,203.0,7239,513.0,StarCraft II Learning Environment.,34.0,25,False,2019-09-27 15:48:01.000000,3.0.0,7.0,pysc2,,,26379.0,1747.0,277.0,237.0,https://pypi.org/project/pysc2,2019-09-27 15:48:01.000000,40.0,1148.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n318,NuPIC,numenta/nupic,,ml-frameworks,https://github.com/numenta/nupic,https://github.com/numenta/nupic,AGPL-3.0,2013-04-05 23:14:27.000000,2021-03-25 21:39:47.000000,2019-10-23 20:45:07.000000,1585,456.0,1337.0,6223,6625.0,\"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..\",121.0,25,False,2018-06-01 15:37:54.000000,1.0.5,53.0,nupic,,,,3633.0,133.0,95.0,https://pypi.org/project/nupic,2018-06-01 15:37:54.000000,38.0,3633.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n319,PyText,facebookresearch/pytext,,nlp,https://github.com/facebookresearch/pytext,https://github.com/facebookresearch/pytext,BSD-3-Clause,2018-07-31 23:40:46.000000,2021-04-22 02:08:44.000000,2021-04-22 02:08:37.000000,787,131.0,74.0,6165,1541.0,A natural language modeling framework based on PyTorch.,183.0,25,True,2020-06-08 23:30:58.000000,0.3.3,13.0,pytext-nlp,,['pytorch'],224.0,657.0,74.0,73.0,https://pypi.org/project/pytext-nlp,2020-06-08 22:49:33.000000,1.0,649.0,,,,3.0,,,,,,,,-1.0,,,,,,,,,,,,,,,,,,,\n320,Trax,google/trax,,others,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000000,2021-04-21 22:30:15.000000,2021-04-21 18:03:30.000000,574,70.0,108.0,6073,1463.0,Trax Deep Learning with Clear Code and Speed.,67.0,25,True,2020-12-18 17:22:13.000000,1.3.7,20.0,trax,,,,4301.0,26.0,26.0,https://pypi.org/project/trax,2020-12-18 17:22:13.000000,,4301.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n321,Vaex,vaexio/vaex,,data-containers,https://github.com/vaexio/vaex,https://github.com/vaexio/vaex,MIT,2014-09-27 09:44:42.000000,2021-04-22 14:14:04.000000,2021-04-22 12:50:41.000000,462,319.0,435.0,6045,3007.0,\"Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualize and explore big tabular data at a billion..\",41.0,25,True,2021-03-18 09:19:49.000000,4.1.0,51.0,vaex,conda-forge/vaex,,205.0,14034.0,4.0,,https://pypi.org/project/vaex,2021-03-18 09:19:49.000000,4.0,12137.0,https://anaconda.org/conda-forge/vaex,2021-03-09 14:33:41.948000,102381.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n322,Milvus,milvus-io/milvus,,nn-search,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000000,2021-04-22 12:21:19.000000,2021-04-22 06:45:57.000000,846,218.0,2027.0,5534,6755.0,\"An open source embedding vector similarity search engine powered by Faiss, NMSLIB and Annoy.\",134.0,25,True,2021-03-10 10:20:14.000000,1.0.0,46.0,pymilvus,,,,31817.0,6.0,,https://pypi.org/project/pymilvus,2021-03-08 12:52:06.000000,6.0,15368.0,,,,2.0,,,milvusdb/milvus,https://hub.docker.com/r/milvusdb/milvus,2021-03-05 10:28:16.600534,11.0,312545.0,,,,,,,,,,,,,,,,,,,,\n323,stanza,stanfordnlp/stanza,,nlp,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56.000000,2021-04-22 05:16:49.000000,2021-02-10 16:16:29.000000,678,52.0,439.0,5375,,Official Stanford NLP Python Library for Many Human Languages.,32.0,25,True,2021-01-29 20:05:25.000000,1.2.0,10.0,stanza,stanfordnlp/stanza,,,40859.0,428.0,424.0,https://pypi.org/project/stanza,2021-01-27 16:31:43.000000,4.0,40588.0,https://anaconda.org/stanfordnlp/stanza,2021-01-27 22:24:06.992000,3530.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n324,keras-rl,keras-rl/keras-rl,,reinforcement-learning,https://github.com/keras-rl/keras-rl,https://github.com/keras-rl/keras-rl,MIT,2016-07-02 15:53:12.000000,2020-11-20 07:32:13.000000,2019-11-11 22:14:54.000000,1284,39.0,211.0,5018,308.0,Deep Reinforcement Learning for Keras.,40.0,25,False,2018-06-01 07:52:24.000000,0.4.2,8.0,keras-rl,,['tensorflow'],,2953.0,582.0,480.0,https://pypi.org/project/keras-rl,2018-06-01 07:52:24.000000,102.0,2953.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n325,DeepSpeed,microsoft/DeepSpeed,,distributed-ml,https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,MIT,2020-01-23 18:35:18.000000,2021-04-22 08:18:19.000000,2021-04-21 21:44:50.000000,441,192.0,235.0,4757,524.0,\"DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.\",48.0,25,True,2021-04-19 16:31:10.000000,0.3.15,23.0,deepspeed,,['pytorch'],,32741.0,24.0,24.0,https://pypi.org/project/deepspeed,2021-04-19 16:23:45.000000,0.0,32206.0,,,,2.0,,,deepspeed/deepspeed,https://hub.docker.com/r/deepspeed/deepspeed,2021-02-20 21:35:37.092937,2.0,8034.0,,,,,,,,,,,,,,,,,,,,\n326,Edward,blei-lab/edward,,probabilistics,https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05.000000,2019-10-22 20:30:48.000000,2018-07-25 01:28:08.000000,767,212.0,327.0,4619,1796.0,\"A probabilistic programming language in TensorFlow. Deep generative models, variational inference.\",87.0,25,False,2018-01-22 06:03:37.000000,1.3.5,28.0,edward,,['tensorflow'],14.0,2428.0,295.0,217.0,https://pypi.org/project/edward,2018-01-22 06:03:05.000000,78.0,2428.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n327,Augmentor,mdbloice/Augmentor,,image,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55.000000,2020-11-10 05:20:01.000000,2020-03-09 11:32:02.000000,805,118.0,67.0,4392,511.0,Image augmentation library in Python for machine learning.,22.0,25,False,2020-01-17 11:59:53.000000,0.2.8,20.0,Augmentor,,,,13720.0,337.0,295.0,https://pypi.org/project/Augmentor,2020-01-17 11:59:53.000000,42.0,13720.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n328,Great Expectations,great-expectations/great_expectations,,data-pipelines,https://github.com/great-expectations/great_expectations,https://github.com/great-expectations/great_expectations,Apache-2.0,2017-09-11 00:18:46.000000,2021-04-22 15:11:15.000000,2021-04-22 14:51:07.000000,528,215.0,635.0,4261,,Always know what to expect from your data.,184.0,25,True,2021-04-22 00:57:01.000000,0.13.18,109.0,great_expectations,,,,621927.0,6.0,,https://pypi.org/project/great_expectations,2021-04-22 00:49:28.000000,6.0,621927.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n329,VisualDL,PaddlePaddle/VisualDL,,ml-experiments,https://github.com/PaddlePaddle/VisualDL,https://github.com/PaddlePaddle/VisualDL,Apache-2.0,2017-12-20 12:34:31.000000,2021-04-19 03:31:55.000000,2021-04-19 03:31:54.000000,538,29.0,319.0,3907,,Deep Learning Visualization Toolkit.,29.0,25,True,2021-02-01 09:03:52.000000,2.1.1,31.0,visualdl,,['paddle'],109.0,10852.0,278.0,268.0,https://pypi.org/project/visualdl,2021-01-29 09:44:14.000000,10.0,10842.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n330,BigDL,intel-analytics/BigDL,,distributed-ml,https://github.com/intel-analytics/BigDL,https://github.com/intel-analytics/BigDL,Apache-2.0,2016-08-29 07:59:50.000000,2021-04-21 02:14:37.000000,2021-04-21 02:14:37.000000,904,184.0,728.0,3718,2664.0,BigDL: Distributed Deep Learning Framework for Apache Spark.,71.0,25,True,2021-04-21 01:53:25.000000,0.12.2,39.0,bigdl,,,,2357.0,30.0,24.0,https://pypi.org/project/bigdl,2021-04-07 05:17:55.000000,6.0,2357.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,com.intel.analytics.bigdl:bigdl-SPARK_2.4,https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4,2020-12-05 03:54:47.000000,0.0,,\n331,TensorFlowOnSpark,yahoo/TensorFlowOnSpark,,distributed-ml,https://github.com/yahoo/TensorFlowOnSpark,https://github.com/yahoo/TensorFlowOnSpark,Apache-2.0,2017-01-20 18:15:57.000000,2021-03-29 16:39:50.000000,2021-03-29 16:39:47.000000,940,12.0,336.0,3663,616.0,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,33.0,25,True,2021-03-23 16:46:56.000000,2.2.3,30.0,tensorflowonspark,,\"['tensorflow', 'spark']\",,155798.0,5.0,,https://pypi.org/project/tensorflowonspark,2021-03-19 17:34:37.000000,5.0,155798.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n332,mlpack,mlpack/mlpack,,ml-frameworks,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59.000000,2021-04-22 07:08:54.000000,2021-04-20 00:25:41.000000,1340,154.0,1230.0,3641,26223.0,mlpack: a scalable C++ machine learning library --.,273.0,25,True,2020-10-28 18:28:47.000000,3.4.2,40.0,mlpack,conda-forge/mlpack,,,3059.0,0.0,,https://pypi.org/project/mlpack,2020-10-28 18:28:47.000000,0.0,877.0,https://anaconda.org/conda-forge/mlpack,2020-10-29 09:35:18.918000,72024.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n333,T5,google-research/text-to-text-transfer-transformer,,nlp,https://github.com/google-research/text-to-text-transfer-transformer,https://github.com/google-research/text-to-text-transfer-transformer,Apache-2.0,2019-10-17 21:45:14.000000,2021-04-15 23:55:56.000000,2021-04-15 21:09:06.000000,454,51.0,318.0,3334,479.0,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,37.0,25,True,2021-03-03 15:19:14.000000,0.9.0,26.0,t5,,['tensorflow'],,11419.0,33.0,33.0,https://pypi.org/project/t5,2021-03-03 15:19:14.000000,0.0,11419.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n334,PML,KevinMusgrave/pytorch-metric-learning,,pytorch-utils,https://github.com/KevinMusgrave/pytorch-metric-learning,https://github.com/KevinMusgrave/pytorch-metric-learning,MIT,2019-10-23 17:20:35.000000,2021-04-21 04:38:46.000000,2021-04-03 02:44:16.000000,400,43.0,196.0,3052,655.0,\"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.\",15.0,25,True,2021-04-03 00:20:04.000000,0.9.98,153.0,pytorch-metric-learning,metric-learning/pytorch-metric-learning,['pytorch'],,14696.0,71.0,71.0,https://pypi.org/project/pytorch-metric-learning,2021-04-21 04:38:46.000000,0.0,14566.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2021-04-03 02:32:50.650000,1962.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n335,Chartify,spotify/chartify,,data-viz,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05.000000,2021-03-20 11:20:12.000000,2021-02-05 18:49:02.000000,256,40.0,30.0,2885,195.0,Python library that makes it easy for data scientists to create charts.,21.0,25,True,2020-11-02 22:14:08.000000,3.0.3,16.0,chartify,conda-forge/chartify,,,3929.0,58.0,53.0,https://pypi.org/project/chartify,2020-11-02 22:14:08.000000,5.0,3468.0,https://anaconda.org/conda-forge/chartify,2020-11-07 19:52:50.628000,13376.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n336,Sumy,miso-belica/sumy,,nlp,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48.000000,2020-11-21 17:08:35.000000,2020-11-21 17:08:33.000000,447,12.0,78.0,2564,397.0,Module for automatic summarization of text documents and HTML pages.,20.0,25,True,2019-05-19 14:39:21.000000,0.8.1,13.0,sumy,,,,18933.0,936.0,744.0,https://pypi.org/project/sumy,2019-05-19 14:38:29.000000,192.0,18933.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n337,Neural Network Libraries,sony/nnabla,,ml-frameworks,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10.000000,2021-04-22 09:19:19.000000,2021-04-22 09:19:06.000000,300,30.0,30.0,2445,2593.0,Neural Network Libraries.,58.0,25,True,2021-04-14 00:00:37.000000,1.19.0,55.0,nnabla,,,523.0,7006.0,34.0,,https://pypi.org/project/nnabla,2021-04-13 05:42:15.000000,34.0,6995.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n338,fastNLP,fastnlp/fastNLP,,nlp,https://github.com/fastnlp/fastNLP,https://github.com/fastnlp/fastNLP,Apache-2.0,2018-03-07 13:30:20.000000,2021-04-22 01:57:46.000000,2021-04-12 13:45:28.000000,363,18.0,130.0,2117,1742.0,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,50.0,25,True,2020-11-06 15:31:29.000000,0.6.0,10.0,fastnlp,,,54.0,1114.0,32.0,31.0,https://pypi.org/project/fastnlp,2019-02-04 02:35:37.000000,1.0,1113.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n339,Hyperas,maxpumperla/hyperas,,hyperopt,https://github.com/maxpumperla/hyperas,https://github.com/maxpumperla/hyperas,MIT,2016-02-19 14:45:10.000000,2020-12-22 08:31:48.000000,2020-12-22 08:31:47.000000,304,88.0,158.0,2085,209.0,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,21.0,25,True,2019-02-28 09:16:54.000000,0.4.1,9.0,hyperas,,['tensorflow'],,39518.0,242.0,200.0,https://pypi.org/project/hyperas,2019-02-28 09:16:54.000000,42.0,39518.0,,,,2.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,\n340,TextDistance,life4/textdistance,,nlp,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10.000000,2021-01-29 15:41:57.288000,2021-01-29 09:03:55.000000,165,9.0,,1955,304.0,\"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..\",9.0,25,True,2021-01-29 09:04:46.000000,.4.2.1,21.0,textdistance,conda-forge/textdistance,,105.0,219126.0,529.0,501.0,https://pypi.org/project/textdistance,2021-01-29 09:03:27.000000,28.0,218169.0,https://anaconda.org/conda-forge/textdistance,2021-01-29 15:41:57.288000,33432.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n341,causalml,uber/causalml,,others,https://github.com/uber/causalml,https://github.com/uber/causalml,Apache-2.0,2019-07-09 02:08:58.000000,2021-04-13 16:39:29.000000,2021-04-13 16:39:29.000000,272,32.0,138.0,1893,311.0,Uplift modeling and causal inference with machine learning algorithms.,25.0,25,True,2021-02-19 20:58:43.000000,0.10.0,13.0,causalml,,,,21441.0,18.0,18.0,https://pypi.org/project/causalml,2021-02-19 20:32:15.000000,0.0,21441.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n342,StellarGraph,stellargraph/stellargraph,,graph,https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51.000000,2021-03-30 23:19:09.000000,2021-02-18 01:03:15.000000,266,233.0,710.0,1861,2515.0,StellarGraph - Machine Learning on Graphs.,32.0,25,True,2020-06-30 05:15:21.000000,1.2.1,25.0,stellargraph,,['tensorflow'],,6382.0,63.0,59.0,https://pypi.org/project/stellargraph,2020-06-30 05:10:43.000000,4.0,6382.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n343,pytorch-optimizer,jettify/pytorch-optimizer,,pytorch-utils,https://github.com/jettify/pytorch-optimizer,https://github.com/jettify/pytorch-optimizer,Apache-2.0,2020-01-03 03:16:39.000000,2021-04-16 10:29:00.000000,2021-04-16 10:27:38.000000,173,10.0,25.0,1821,375.0,torch-optimizer -- collection of optimizers for Pytorch.,19.0,25,True,2021-01-01 16:51:15.000000,0.1.0,19.0,torch_optimizer,,['pytorch'],,34258.0,173.0,173.0,https://pypi.org/project/torch_optimizer,2021-01-01 16:51:15.000000,0.0,34258.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n344,polyglot,aboSamoor/polyglot,,nlp,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,GPL-3.0,2014-06-30 02:07:45.000000,2020-10-27 10:55:53.000000,2020-09-22 22:35:28.000000,292,132.0,64.0,1815,271.0,Multilingual text (NLP) processing toolkit.,26.0,25,False,2016-07-03 20:05:42.000000,16.7.4,8.0,polyglot,,,,75038.0,608.0,478.0,https://pypi.org/project/polyglot,2016-07-03 20:05:42.000000,130.0,75038.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n345,efficientnet,qubvel/efficientnet,,tensorflow-utils,https://github.com/qubvel/efficientnet,https://github.com/qubvel/efficientnet,Apache-2.0,2019-05-30 20:21:09.000000,2021-04-18 18:12:08.000000,2020-09-15 16:19:36.000000,402,56.0,55.0,1790,64.0,Implementation of EfficientNet model. Keras and TensorFlow Keras.,8.0,25,True,2020-09-15 16:26:00.000000,1.1.1,9.0,efficientnet,,['tensorflow'],167047.0,102719.0,576.0,572.0,https://pypi.org/project/efficientnet,2020-09-15 16:26:00.000000,4.0,95457.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n346,pgmpy,pgmpy/pgmpy,,probabilistics,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000000,2021-04-11 08:55:27.000000,2021-04-11 08:55:27.000000,567,232.0,504.0,1767,6.0,Python Library for learning (Structure and Parameter) and inference (Statistical and Causal) in Bayesian Networks.,91.0,25,True,2021-03-31 09:08:49.000000,0.1.14,13.0,pgmpy,,,66.0,31115.0,223.0,211.0,https://pypi.org/project/pgmpy,2021-03-31 07:30:01.000000,12.0,31109.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n347,category_encoders,scikit-learn-contrib/category_encoders,,sklearn-utils,https://github.com/scikit-learn-contrib/category_encoders,https://github.com/scikit-learn-contrib/category_encoders,BSD-3-Clause,2015-11-29 19:32:37.000000,2021-04-13 02:35:29.000000,2020-07-31 10:43:44.000000,304,73.0,136.0,1634,671.0,A library of sklearn compatible categorical variable encoders.,37.0,25,True,2020-04-29 02:09:51.000000,2.2.2,19.0,category_encoders,conda-forge/category_encoders,['sklearn'],,337477.0,23.0,,https://pypi.org/project/category_encoders,2018-10-14 14:15:54.000000,23.0,335714.0,https://anaconda.org/conda-forge/category_encoders,2020-04-29 22:37:35.948000,100492.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n348,HyperTools,ContextLab/hypertools,,data-viz,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25.000000,2021-01-06 14:11:39.000000,2021-01-06 14:11:38.000000,152,66.0,122.0,1621,1591.0,A Python toolbox for gaining geometric insights into high-dimensional data.,21.0,25,True,2020-10-02 21:41:53.000000,0.6.3,19.0,hypertools,,,,10248.0,122.0,113.0,https://pypi.org/project/hypertools,2020-10-02 21:41:53.000000,9.0,10248.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n349,swifter,jmcarpenter2/swifter,,data-containers,https://github.com/jmcarpenter2/swifter,https://github.com/jmcarpenter2/swifter,MIT,2018-04-07 21:37:19.000000,2021-04-05 23:39:32.730000,2020-12-19 19:11:44.000000,76,18.0,76.0,1605,423.0,A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner.,14.0,25,True,2020-10-11 22:42:57.000000,1.0.7,71.0,swifter,conda-forge/swifter,['pandas'],,107324.0,347.0,315.0,https://pypi.org/project/swifter,2020-10-11 22:42:57.000000,32.0,103459.0,https://anaconda.org/conda-forge/swifter,2021-04-05 23:39:32.730000,92780.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n350,tslearn,tslearn-team/tslearn,,time-series-data,https://github.com/tslearn-team/tslearn,https://github.com/tslearn-team/tslearn,BSD-2-Clause,2017-05-04 13:08:13.000000,2021-03-16 22:42:37.000000,2021-01-25 15:18:03.000000,228,65.0,169.0,1570,,A machine learning toolkit dedicated to time-series data.,30.0,25,True,2021-01-25 15:19:11.000000,0.5.0.5,92.0,tslearn,conda-forge/tslearn,['sklearn'],,75873.0,241.0,219.0,https://pypi.org/project/tslearn,2021-01-25 15:28:45.000000,22.0,70373.0,https://anaconda.org/conda-forge/tslearn,2021-01-25 17:55:55.394000,203520.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n351,mtcnn,ipazc/mtcnn,,image,https://github.com/ipazc/mtcnn,https://github.com/ipazc/mtcnn,MIT,2018-01-05 04:08:32.000000,2021-02-03 15:49:06.000000,2021-01-13 23:50:58.000000,386,55.0,36.0,1481,55.0,\"MTCNN face detection implementation for TensorFlow, as a PIP package.\",14.0,25,True,2019-11-14 17:37:05.000000,0.1.0,10.0,mtcnn,,['tensorflow'],,20827.0,1055.0,1013.0,https://pypi.org/project/mtcnn,2019-11-14 17:37:05.000000,42.0,20827.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n352,chainercv,chainer/chainercv,,image,https://github.com/chainer/chainercv,https://github.com/chainer/chainercv,MIT,2017-02-13 04:15:10.000000,2020-02-03 01:27:17.000000,2020-01-07 11:48:31.000000,318,54.0,168.0,1442,4930.0,ChainerCV: a Library for Deep Learning in Computer Vision.,39.0,25,False,2019-06-12 11:55:02.000000,0.13.1,24.0,chainercv,,,,5366.0,295.0,235.0,https://pypi.org/project/chainercv,2019-06-12 11:55:40.000000,60.0,5366.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n353,IB-insync,erdewit/ib_insync,,financial-data,https://github.com/erdewit/ib_insync,https://github.com/erdewit/ib_insync,BSD-2-Clause,2017-07-12 12:09:24.000000,2021-04-18 22:50:44.000000,2021-04-16 16:33:38.000000,414,3.0,300.0,1378,567.0,Python sync/async framework for Interactive Brokers API.,28.0,25,True,2020-11-03 13:37:57.000000,0.9.64,89.0,ib_insync,conda-forge/ib-insync,,,12179.0,12.0,,https://pypi.org/project/ib_insync,2020-11-03 13:37:57.000000,12.0,11745.0,https://anaconda.org/conda-forge/ib-insync,2021-02-25 02:28:19.625000,9134.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n354,TextAttack,QData/TextAttack,,adversarial,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000000,2021-04-22 14:19:27.000000,2021-04-14 19:17:45.000000,156,39.0,82.0,1376,1991.0,\"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP.\",34.0,25,True,2020-12-27 05:23:02.000000,0.2.15,35.0,textattack,,,,2408.0,22.0,22.0,https://pypi.org/project/textattack,2020-12-27 05:23:02.000000,0.0,2408.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n355,Fairness 360,Trusted-AI/AIF360,,interpretability,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15.000000,2021-04-20 18:18:32.000000,2021-03-10 20:05:40.000000,421,39.0,53.0,1350,318.0,\"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..\",43.0,25,True,2021-03-04 18:11:34.000000,0.4.0,9.0,aif360,,,,7192.0,84.0,80.0,https://pypi.org/project/aif360,2021-03-04 18:11:34.000000,4.0,7192.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n356,ViZDoom,mwydmuch/ViZDoom,,reinforcement-learning,https://github.com/mwydmuch/ViZDoom,https://github.com/mwydmuch/ViZDoom,MIT,2015-06-26 18:38:23.000000,2021-02-09 10:35:01.000000,2021-02-09 10:35:01.000000,298,87.0,329.0,1195,1464.0,Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information.,44.0,25,True,2020-10-29 15:56:20.000000,1.1.8,19.0,vizdoom,,,10800.0,1960.0,138.0,114.0,https://pypi.org/project/vizdoom,2020-10-29 15:56:20.000000,24.0,1783.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n357,PyCUDA,inducer/pycuda,,gpu-utilities,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000000,2021-04-16 19:27:03.000000,2021-04-16 19:27:02.000000,225,54.0,135.0,1135,,\"CUDA integration for Python, plus shiny features.\",70.0,25,True,2019-08-12 04:15:37.000000,2019.1.2,47.0,pycuda,,,,54278.0,1101.0,809.0,https://pypi.org/project/pycuda,2021-04-03 22:28:54.000000,292.0,54278.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n358,TabPy,tableau/TabPy,,others,https://github.com/tableau/TabPy,https://github.com/tableau/TabPy,MIT,2016-09-27 21:26:03.000000,2021-02-04 23:28:56.000000,2021-02-04 23:28:56.000000,392,10.0,265.0,1062,828.0,Execute Python code on the fly and display results in Tableau visualizations:.,40.0,25,True,2020-11-11 19:06:41.000000,2.3.1,24.0,tabpy,,,,33466.0,56.0,56.0,https://pypi.org/project/tabpy,2020-11-11 19:06:41.000000,0.0,33466.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n359,bt,pmorissette/bt,,financial-data,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28.000000,2021-04-21 02:52:26.000000,2021-04-21 02:48:56.000000,279,57.0,177.0,1044,416.0,bt - flexible backtesting for Python.,21.0,25,True,2021-04-21 02:49:56.000000,0.2.9,25.0,bt,,,,8485.0,70.0,50.0,https://pypi.org/project/bt,2021-04-21 02:52:26.000000,20.0,8485.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n360,ArcGIS API,Esri/arcgis-python-api,,geospatial-data,https://github.com/Esri/arcgis-python-api,https://github.com/Esri/arcgis-python-api,Apache-2.0,2016-03-16 01:09:14.000000,2021-04-21 18:55:37.000000,2021-04-19 04:27:40.000000,732,118.0,223.0,1010,3053.0,Documentation and samples for ArcGIS API for Python.,62.0,25,True,2021-04-12 03:08:40.000000,1.8.5,29.0,arcgis,,,,38275.0,20.0,,https://pypi.org/project/arcgis,2021-04-12 03:28:09.000000,20.0,38205.0,,,,3.0,,,esridocker/arcgis-api-python-notebook,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,2020-03-06 00:53:45.164342,32.0,4275.0,,,,,,,,,,,,,,,,,,,,\n361,Streamz,python-streamz/streamz,,time-series-data,https://github.com/python-streamz/streamz,https://github.com/python-streamz/streamz,BSD-3-Clause,2017-04-04 21:45:49.000000,2021-04-05 16:03:05.000000,2021-04-05 16:03:05.000000,116,91.0,132.0,936,742.0,Real-time stream processing for python.,39.0,25,True,2021-01-14 20:47:38.000000,0.6.2,15.0,streamz,conda-forge/streamz,,,9700.0,217.0,201.0,https://pypi.org/project/streamz,2021-01-14 20:47:38.000000,16.0,6311.0,https://anaconda.org/conda-forge/streamz,2021-01-15 14:38:35.032000,145755.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n362,PySAL,pysal/pysal,,geospatial-data,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42.000000,2021-02-08 21:30:44.240000,2021-02-01 00:35:48.000000,242,58.0,584.0,839,4119.0,PySAL: Python Spatial Analysis Library Meta-Package.,71.0,25,True,2021-02-02 02:59:42.000000,2.4.0,25.0,pysal,conda-forge/pysal,,,22853.0,36.0,,https://pypi.org/project/pysal,2021-02-02 02:59:42.000000,36.0,15691.0,https://anaconda.org/conda-forge/pysal,2021-02-08 21:30:44.240000,408278.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n363,ffn,pmorissette/ffn,,financial-data,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09.000000,2021-04-21 02:47:21.000000,2021-04-21 02:46:01.000000,195,18.0,64.0,837,349.0,ffn - a financial function library for Python.,26.0,25,True,2021-04-21 02:47:21.000000,0.3.6,27.0,ffn,,,,16937.0,155.0,113.0,https://pypi.org/project/ffn,2021-04-21 02:47:21.000000,42.0,16937.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n364,ktrain,amaiya/ktrain,,ml-frameworks,https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39.000000,2021-04-17 19:48:58.000000,2021-03-26 17:14:39.000000,191,10.0,326.0,802,2266.0,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,12.0,25,True,2021-03-26 17:15:23.000000,0.26.2,150.0,ktrain,,['tensorflow'],,19817.0,153.0,152.0,https://pypi.org/project/ktrain,2021-03-26 17:14:10.000000,1.0,19817.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n365,Singer,singer-io/getting-started,,data-loading,https://github.com/singer-io/getting-started,https://github.com/singer-io/getting-started,AGPL-3.0,2016-10-31 16:53:56.000000,2021-04-19 14:13:01.000000,2021-04-14 13:25:19.000000,102,20.0,18.0,757,181.0,\"Standard for moving data between databases, web APIs, files, queues, and just about anything else you can think of.\",26.0,25,False,2021-02-25 20:41:17.000000,5.11.0,104.0,singer-python,,,,81853.0,300.0,,https://pypi.org/project/singer-python,2021-03-22 20:41:58.000000,300.0,81853.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n366,dask-ml,dask/dask-ml,,distributed-ml,https://github.com/dask/dask-ml,https://github.com/dask/dask-ml,BSD-3-Clause,2017-06-15 15:56:06.000000,2021-04-20 15:21:20.000000,2021-04-17 20:14:27.000000,189,186.0,220.0,701,,Scalable Machine Learning with Dask.,64.0,25,True,2021-01-30 16:49:37.000000,1.8.0,27.0,dask-ml,conda-forge/dask-ml,,,76861.0,417.0,375.0,https://pypi.org/project/dask-ml,2021-01-30 16:49:37.000000,42.0,71955.0,https://anaconda.org/conda-forge/dask-ml,2021-01-30 20:07:36.819000,206054.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n367,Satpy,pytroll/satpy,,geospatial-data,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000000,2021-04-22 12:15:39.000000,2021-04-21 18:16:39.000000,196,312.0,321.0,691,8601.0,Python package for earth-observing satellite data processing.,107.0,25,False,2021-03-26 08:31:14.000000,0.27.0,65.0,satpy,conda-forge/satpy,,,3300.0,47.0,41.0,https://pypi.org/project/satpy,2021-03-26 08:31:14.000000,6.0,1482.0,https://anaconda.org/conda-forge/satpy,2021-03-26 11:35:33.340000,60009.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n368,pyjanitor,ericmjl/pyjanitor,,others,https://github.com/pyjanitor-devs/pyjanitor,https://github.com/pyjanitor-devs/pyjanitor,MIT,2018-03-04 22:43:33.000000,2021-04-20 20:21:23.000000,2021-04-20 20:21:04.000000,123,98.0,285.0,654,1162.0,Clean APIs for data cleaning. Python implementation of R package Janitor.,88.0,25,True,2021-02-25 17:30:52.000000,0.20.13,49.0,pyjanitor,conda-forge/pyjanitor,,,8758.0,97.0,93.0,https://pypi.org/project/pyjanitor,2021-02-25 17:30:52.000000,4.0,6419.0,https://anaconda.org/conda-forge/pyjanitor,2021-03-25 12:03:18.871000,86561.0,2.0,,,,,,,,,,,,,,,,,,pyjanitor-devs/pyjanitor,,,,,,,,,\n369,PDPbox,SauceCat/PDPbox,,data-viz,https://github.com/SauceCat/PDPbox,https://github.com/SauceCat/PDPbox,MIT,2017-06-26 08:01:54.000000,2021-03-14 19:37:51.465000,2021-03-14 16:01:01.000000,86,19.0,38.0,561,227.0,python partial dependence plot toolbox.,7.0,25,True,2021-03-14 16:21:17.000000,0.2.1,3.0,pdpbox,conda-forge/pdpbox,,,83621.0,400.0,366.0,https://pypi.org/project/pdpbox,2021-03-14 16:21:17.000000,34.0,83289.0,https://anaconda.org/conda-forge/pdpbox,2021-03-14 19:37:51.465000,6992.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n370,tensorflow-upstream,ROCmSoftwarePlatform/tensorflow-upstream,,ml-frameworks,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,Apache-2.0,2018-04-09 21:24:50.000000,2021-04-22 03:26:39.000000,2021-04-21 21:24:04.000000,65,55.0,241.0,554,79524.0,TensorFlow ROCm port.,3639.0,25,True,2021-03-29 03:10:02.000000,2.4.1,63.0,tensorflow-rocm,,['tensorflow'],16.0,3464.0,,,https://pypi.org/project/tensorflow-rocm,2021-03-29 03:10:02.000000,,3464.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n371,mpi4py,mpi4py/mpi4py,,distributed-ml,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-3-Clause,2013-09-05 14:44:25.000000,2021-04-22 10:04:56.000000,2021-03-31 12:46:41.000000,64,7.0,16.0,398,2246.0,Python bindings for MPI.,16.0,25,True,2020-07-27 06:40:19.000000,3.0.3,13.0,mpi4py,conda-forge/mpi4py,,911.0,221964.0,752.0,,https://pypi.org/project/mpi4py,2019-11-04 13:05:10.000000,752.0,210879.0,https://anaconda.org/conda-forge/mpi4py,2021-01-19 17:48:43.682000,604127.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n372,PyNNDescent,lmcinnes/pynndescent,,nn-search,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000000,2021-03-12 04:15:55.000000,2021-03-12 04:15:47.000000,49,28.0,34.0,388,488.0,A Python nearest neighbor descent for approximate nearest neighbors.,13.0,25,True,2021-02-08 20:03:04.000000,0.5.2,21.0,pynndescent,conda-forge/pynndescent,,,381674.0,398.0,392.0,https://pypi.org/project/pynndescent,2021-02-08 20:03:04.000000,6.0,376681.0,https://anaconda.org/conda-forge/pynndescent,2021-02-09 04:30:06.804000,109846.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n373,hvPlot,holoviz/hvplot,,data-viz,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000000,2021-04-21 16:34:58.000000,2021-04-21 16:34:54.000000,51,118.0,232.0,378,379.0,\"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.\",27.0,25,True,2021-03-04 17:35:32.000000,0.7.1,14.0,hvplot,conda-forge/hvplot,,,30545.0,585.0,555.0,https://pypi.org/project/hvplot,2021-04-14 13:04:35.000000,30.0,28026.0,https://anaconda.org/conda-forge/hvplot,2021-03-04 01:00:43.938000,80633.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n374,python-soundfile,bastibe/python-soundfile,,audio,https://github.com/bastibe/python-soundfile,https://github.com/bastibe/python-soundfile,BSD-3-Clause,2013-08-27 13:36:52.000000,2021-01-13 07:52:51.000000,2020-12-01 18:42:47.000000,43,57.0,90.0,378,493.0,\"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.\",19.0,25,True,2019-12-04 10:03:39.000000,0.10.3post1,7.0,soundfile,,,2320.0,689404.0,7254.0,6514.0,https://pypi.org/project/soundfile,2019-11-27 12:16:19.000000,740.0,689378.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n375,datalad,datalad/datalad,,others,https://github.com/datalad/datalad,https://github.com/datalad/datalad,MIT,2013-11-01 19:40:08.000000,2021-04-22 12:27:06.000000,2021-04-22 05:58:07.000000,73,698.0,2311.0,238,13715.0,\"Keep code, data, containers under control with git and git-annex.\",37.0,25,True,2021-04-14 23:03:44.000000,0.14.2,65.0,datalad,conda-forge/datalad,,,8947.0,26.0,,https://pypi.org/project/datalad,2021-04-01 15:57:21.000000,26.0,5930.0,https://anaconda.org/conda-forge/datalad,2021-04-15 02:42:48.093000,111653.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n376,snownlp,isnowfy/snownlp,,chinese-nlp,https://github.com/isnowfy/snownlp,https://github.com/isnowfy/snownlp,MIT,2013-11-26 11:46:56.000000,2020-01-19 02:39:05.000000,2020-01-19 02:39:03.000000,1266,36.0,65.0,5377,57.0,Python library for processing Chinese text.,8.0,24,False,2015-09-27 16:35:23.000000,0.12.3,17.0,snownlp,,,,14558.0,646.0,570.0,https://pypi.org/project/snownlp,2015-09-27 16:35:23.000000,76.0,14558.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n377,Face Alignment,1adrianb/face-alignment,,image,https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44.000000,2021-03-03 00:56:24.000000,2021-03-03 00:56:24.000000,1037,36.0,198.0,4865,198.0,2D and 3D Face alignment library build using pytorch.,22.0,24,True,2020-12-22 21:34:55.000000,1.3.3,9.0,face-alignment,,['pytorch'],,7456.0,12.0,,https://pypi.org/project/face-alignment,2020-12-22 21:34:55.000000,12.0,7456.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n378,textgenrnn,minimaxir/textgenrnn,,nlp,https://github.com/minimaxir/textgenrnn,https://github.com/minimaxir/textgenrnn,MIT,2017-08-07 02:13:37.000000,2020-12-25 03:33:19.000000,2020-07-14 02:41:10.000000,681,117.0,82.0,4350,174.0,Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines..,19.0,24,True,2020-02-03 01:07:00.000000,2.0.0,14.0,textgenrnn,,['tensorflow'],494.0,9080.0,821.0,793.0,https://pypi.org/project/textgenrnn,2020-02-02 21:16:15.000000,28.0,9067.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n379,sktime,alan-turing-institute/sktime,,time-series-data,https://github.com/alan-turing-institute/sktime,https://github.com/alan-turing-institute/sktime,BSD-3-Clause,2018-11-06 15:08:24.000000,2021-04-22 14:37:52.000000,2021-04-20 17:58:28.000000,516,120.0,297.0,3877,,A unified framework for machine learning with time series.,83.0,24,True,2021-04-15 10:41:18.000000,0.6.0,14.0,sktime,,['sklearn'],57.0,53203.0,137.0,137.0,https://pypi.org/project/sktime,2021-04-15 10:41:18.000000,0.0,53201.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n380,Lasagne,Lasagne/Lasagne,,ml-frameworks,https://github.com/Lasagne/Lasagne,https://github.com/Lasagne/Lasagne,MIT,2014-09-11 15:31:41.000000,2019-11-20 20:28:31.000000,2019-11-20 20:28:30.000000,983,139.0,402.0,3776,1161.0,Lightweight library to build and train neural networks in Theano.,72.0,24,False,2015-08-13 21:00:09.000000,0.1,1.0,lasagne,,,,2698.0,1312.0,806.0,https://pypi.org/project/lasagne,2015-08-13 21:10:53.000000,506.0,2698.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n381,torchdiffeq,rtqichen/torchdiffeq,,pytorch-utils,https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25.000000,2021-04-05 11:26:15.000000,2021-03-23 19:55:23.000000,594,23.0,110.0,3475,216.0,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,19.0,24,True,2021-02-06 20:33:16.000000,0.2.1,5.0,torchdiffeq,,['pytorch'],,3305.0,89.0,89.0,https://pypi.org/project/torchdiffeq,2021-02-06 20:33:16.000000,0.0,3305.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n382,ArrayFire,arrayfire/arrayfire,,gpu-utilities,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000000,2021-04-12 14:00:05.000000,2021-03-23 02:59:03.000000,475,239.0,1224.0,3432,5708.0,ArrayFire: a general purpose GPU library.,80.0,24,True,2021-01-08 21:41:09.000000,3.8.0,30.0,arrayfire,,,1022.0,1229.0,8.0,,https://pypi.org/project/arrayfire,2021-03-05 17:36:30.000000,8.0,1215.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n383,xLearn,aksnzhy/xlearn,,ml-frameworks,https://github.com/aksnzhy/xlearn,https://github.com/aksnzhy/xlearn,Apache-2.0,2017-06-10 08:09:31.000000,2021-01-28 14:17:44.000000,2020-03-03 10:12:35.000000,515,190.0,107.0,2874,1340.0,\"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..\",30.0,24,False,2019-04-25 02:10:05.000000,0.4.4,15.0,xlearn,,,2473.0,3794.0,53.0,51.0,https://pypi.org/project/xlearn,2018-12-04 11:05:06.000000,2.0,3728.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n384,DoWhy,Microsoft/dowhy,,interpretability,https://github.com/microsoft/dowhy,https://github.com/microsoft/dowhy,MIT,2018-05-31 13:07:04.000000,2021-04-22 07:22:32.000000,2021-04-22 07:22:18.000000,407,22.0,90.0,2845,440.0,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,40.0,24,True,2021-03-03 03:44:46.000000,0.6,6.0,dowhy,conda-forge/dowhy,,23.0,21618.0,36.0,36.0,https://pypi.org/project/dowhy,2021-03-03 03:45:16.000000,0.0,21475.0,https://anaconda.org/conda-forge/dowhy,2020-12-13 07:46:12.761000,1568.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n385,einops,arogozhnikov/einops,,ml-frameworks,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08.000000,2021-04-03 01:17:15.000000,2021-04-03 01:17:15.000000,96,21.0,46.0,2837,305.0,\"Deep learning operations reinvented (for pytorch, tensorflow, jax and others).\",11.0,24,True,2020-09-08 08:33:29.000000,0.3,3.0,einops,conda-forge/einops,,,90257.0,444.0,434.0,https://pypi.org/project/einops,2020-09-08 08:21:26.000000,10.0,90016.0,https://anaconda.org/conda-forge/einops,2020-10-15 20:10:19.681000,4590.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n386,keras-vis,raghakot/keras-vis,,interpretability,https://github.com/raghakot/keras-vis,https://github.com/raghakot/keras-vis,MIT,2016-11-11 23:27:34.000000,2020-04-20 01:03:13.000000,2020-04-20 01:03:12.000000,595,114.0,99.0,2815,195.0,Neural network visualization toolkit for keras.,10.0,24,True,2017-07-06 04:55:04.000000,0.4.1,11.0,keras-vis,,['tensorflow'],,3095.0,941.0,885.0,https://pypi.org/project/keras-vis,2017-07-06 04:55:04.000000,56.0,3095.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n387,D-Tale,man-group/dtale,,data-viz,https://github.com/man-group/dtale,https://github.com/man-group/dtale,LGPL-2.1,2019-07-15 09:34:48.000000,2021-04-21 22:41:47.000000,2021-04-21 22:41:36.000000,161,24.0,301.0,2265,395.0,Visualizer for pandas data structures.,15.0,24,True,2021-04-19 01:14:21.000000,1.43.0,115.0,dtale,conda-forge/dtale,\"['pandas', 'jupyter']\",,18545.0,133.0,133.0,https://pypi.org/project/dtale,2021-04-19 01:07:00.000000,0.0,14892.0,https://anaconda.org/conda-forge/dtale,2021-04-19 01:40:17.067000,51153.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n388,Arctic,man-group/arctic,,data-containers,https://github.com/man-group/arctic,https://github.com/man-group/arctic,LGPL-2.1,2015-05-29 13:37:30.000000,2021-04-16 20:56:46.000000,2021-04-16 01:50:53.000000,439,88.0,437.0,2259,1077.0,Arctic is a high performance datastore for numeric data.,71.0,24,True,2020-12-01 23:17:26.000000,1.79.4,83.0,arctic,conda-forge/arctic,,118.0,7508.0,155.0,113.0,https://pypi.org/project/arctic,2020-12-01 23:16:12.000000,42.0,6927.0,https://anaconda.org/conda-forge/arctic,2019-12-16 08:57:24.231000,13352.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n389,SRU,asappresearch/sru,,pytorch-utils,https://github.com/asappresearch/sru,https://github.com/asappresearch/sru,MIT,2017-08-28 20:37:41.000000,2021-04-15 16:32:43.000000,2021-03-19 22:29:41.000000,286,49.0,64.0,1936,383.0,Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755).,21.0,24,True,2020-12-17 19:40:55.000000,2.6.0-rc1,24.0,sru,,['pytorch'],,2707.0,17.0,15.0,https://pypi.org/project/sru,2021-03-18 18:03:56.000000,2.0,2707.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n390,pytorch-nlp,PetrochukM/PyTorch-NLP,,nlp,https://github.com/PetrochukM/PyTorch-NLP,https://github.com/PetrochukM/PyTorch-NLP,BSD-3-Clause,2018-02-25 05:00:36.000000,2021-04-08 15:39:47.000000,2021-01-26 22:23:57.000000,223,14.0,49.0,1896,445.0,Basic Utilities for PyTorch Natural Language Processing (NLP).,17.0,24,True,2019-11-04 05:16:00.000000,0.5.0,19.0,pytorch-nlp,,['pytorch'],,5676.0,221.0,203.0,https://pypi.org/project/pytorch-nlp,2019-11-04 04:35:18.000000,18.0,5676.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n391,python_speech_features,jameslyons/python_speech_features,,audio,https://github.com/jameslyons/python_speech_features,https://github.com/jameslyons/python_speech_features,MIT,2013-10-31 02:42:08.000000,2020-12-31 13:27:02.000000,2020-12-31 13:27:01.000000,548,23.0,49.0,1883,120.0,This library provides common speech features for ASR including MFCCs and filterbank energies.,18.0,24,True,2020-01-14 14:12:10.000000,0.6.1,6.0,python_speech_features,,,,80526.0,300.0,,https://pypi.org/project/python_speech_features,2017-08-16 01:46:13.000000,300.0,80526.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n392,Alphalens,quantopian/alphalens,,financial-data,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15.000000,2020-09-05 16:48:14.000000,2020-04-27 18:40:41.000000,696,38.0,145.0,1865,522.0,Performance analysis of predictive (alpha) stock factors.,25.0,24,True,2020-04-30 15:42:52.000000,0.4.0,10.0,alphalens,conda-forge/alphalens,,,3293.0,409.0,381.0,https://pypi.org/project/alphalens,2020-04-27 21:03:10.000000,28.0,2996.0,https://anaconda.org/conda-forge/alphalens,2020-05-16 13:52:44.922000,11320.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n393,DDSP,magenta/ddsp,,audio,https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27.000000,2021-04-19 04:30:53.000000,2021-04-08 22:54:28.000000,179,15.0,96.0,1824,369.0,DDSP: Differentiable Digital Signal Processing.,25.0,24,True,2021-04-19 04:30:53.000000,1.3.0,31.0,ddsp,,['tensorflow'],,2525.0,11.0,11.0,https://pypi.org/project/ddsp,2021-04-08 23:34:17.000000,,2525.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n394,Spektral,danielegrattarola/spektral,,graph,https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10.000000,2021-04-20 15:07:24.000000,2021-03-24 08:34:28.000000,214,22.0,121.0,1703,945.0,Graph Neural Networks with Keras and Tensorflow 2.,16.0,24,True,2021-03-20 11:39:58.000000,1.0.6,29.0,spektral,,\"['tensorflow\"\"']\",,3445.0,46.0,46.0,https://pypi.org/project/spektral,2021-03-20 11:39:58.000000,0.0,3445.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n395,scattertext,JasonKessler/scattertext,,nlp,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12.000000,2021-03-08 07:54:17.000000,2021-03-08 07:43:55.000000,215,17.0,62.0,1555,346.0,Beautiful visualizations of how language differs among document types.,11.0,24,True,2021-03-08 07:54:17.000000,0.1.2,131.0,scattertext,conda-forge/scattertext,,,6185.0,190.0,174.0,https://pypi.org/project/scattertext,2021-03-08 07:54:17.000000,16.0,5083.0,https://anaconda.org/conda-forge/scattertext,2021-01-18 15:00:35.497000,48514.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n396,Pandaral·lel,nalepae/pandarallel,,data-containers,https://github.com/nalepae/pandarallel,https://github.com/nalepae/pandarallel,BSD-3-Clause,2019-03-10 11:58:29.000000,2021-02-04 21:35:01.000000,2021-02-04 21:27:26.000000,102,68.0,55.0,1514,114.0,A simple and efficient tool to parallelize Pandas operations on all availableCPUs.,14.0,24,True,2021-02-04 21:35:01.000000,1.5.2,29.0,pandarallel,,\"['pandas', 'jupyter']\",,399503.0,186.0,186.0,https://pypi.org/project/pandarallel,2021-02-04 21:35:01.000000,0.0,399503.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n397,dtreeviz,parrt/dtreeviz,,interpretability,https://github.com/parrt/dtreeviz,https://github.com/parrt/dtreeviz,MIT,2018-08-13 21:45:15.000000,2021-04-05 19:35:08.000000,2021-04-05 19:30:34.000000,199,17.0,77.0,1487,363.0,A python library for decision tree visualization and model interpretation.,16.0,24,True,2021-03-16 21:49:18.000000,1.2,23.0,dtreeviz,,,,27927.0,139.0,135.0,https://pypi.org/project/dtreeviz,2021-04-05 19:35:08.000000,4.0,27927.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n398,sklearn-contrib-lightning,scikit-learn-contrib/lightning,,sklearn-utils,https://github.com/scikit-learn-contrib/lightning,https://github.com/scikit-learn-contrib/lightning,BSD-3-Clause,2012-01-11 13:53:52.000000,2021-03-14 21:31:42.000000,2021-03-14 21:31:42.000000,192,47.0,36.0,1443,701.0,\"Large-scale linear classification, regression and ranking in Python.\",17.0,24,True,2020-12-16 17:26:49.000000,0.6.0,8.0,sklearn-contrib-lightning,conda-forge/sklearn-contrib-lightning,['sklearn'],,2930.0,92.0,82.0,https://pypi.org/project/sklearn-contrib-lightning,2020-12-16 17:26:49.000000,10.0,494.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2020-12-20 22:58:20.890000,138886.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n399,bonobo,python-bonobo/bonobo,,data-pipelines,https://github.com/python-bonobo/bonobo,https://github.com/python-bonobo/bonobo,Apache-2.0,2016-12-09 04:03:23.000000,2021-04-20 17:24:44.000000,2021-03-10 15:44:00.000000,117,67.0,108.0,1418,978.0,Extract Transform Load for Python 3.5+.,37.0,24,True,2019-05-16 13:19:48.000000,0.6.4,38.0,bonobo,,,,10430.0,165.0,113.0,https://pypi.org/project/bonobo,2019-07-20 13:33:19.000000,52.0,10430.0,,,,3.0,http://docs.bonobo-project.org/en/master/,,,,,,,,,,,,,,,,,,,,,,,,,,\n400,Magnitude,plasticityai/magnitude,,nn-search,https://github.com/plasticityai/magnitude,https://github.com/plasticityai/magnitude,MIT,2018-02-24 07:28:16.000000,2021-02-23 18:10:43.000000,2020-07-17 20:19:46.000000,100,27.0,50.0,1405,350.0,\"A fast, efficient universal vector embedding utility package.\",4.0,24,True,2020-05-25 11:26:36.000000,0.1.143,128.0,pymagnitude,,,,8916.0,201.0,187.0,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36.000000,14.0,8916.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n401,sense2vec,explosion/sense2vec,,nlp,https://github.com/explosion/sense2vec,https://github.com/explosion/sense2vec,MIT,2016-01-23 22:15:49.000000,2021-04-19 07:05:28.000000,2021-04-18 01:50:23.000000,209,16.0,83.0,1216,452.0,Contextually-keyed word vectors.,15.0,24,True,2021-04-19 07:05:28.000000,3.0.0,22.0,sense2vec,conda-forge/sense2vec,,14894.0,6450.0,72.0,60.0,https://pypi.org/project/sense2vec,2021-04-19 07:05:28.000000,12.0,5110.0,https://anaconda.org/conda-forge/sense2vec,2020-03-16 22:19:07.337000,17623.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n402,modAL,modAL-python/modAL,,others,https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000000,2021-04-22 07:01:29.000000,2021-01-07 09:40:40.000000,187,50.0,50.0,1200,648.0,A modular active learning framework for Python.,14.0,24,True,2021-01-07 09:47:49.000000,0.4.1,12.0,modAL,,['sklearn'],11.0,2463.0,73.0,65.0,https://pypi.org/project/modAL,2021-01-07 09:47:49.000000,8.0,2463.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n403,garage,rlworkgroup/garage,,reinforcement-learning,https://github.com/rlworkgroup/garage,https://github.com/rlworkgroup/garage,MIT,2018-06-10 21:31:23.000000,2021-04-22 10:04:41.000000,2021-04-13 20:53:48.000000,215,205.0,783.0,1135,1207.0,A toolkit for reproducible reinforcement learning research.,75.0,24,True,2021-03-23 22:18:36.000000,2021.3.0,21.0,garage,,['tensorflow'],,657.0,16.0,16.0,https://pypi.org/project/garage,2021-03-23 22:18:36.000000,0.0,657.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n404,livelossplot,stared/livelossplot,,ml-experiments,https://github.com/stared/livelossplot,https://github.com/stared/livelossplot,MIT,2018-03-10 17:51:43.000000,2021-02-07 23:25:37.000000,2021-02-07 23:24:31.000000,137,3.0,70.0,1067,323.0,\"Live training loss plot in Jupyter Notebook for Keras, PyTorch and others.\",16.0,24,True,2021-02-03 16:25:47.000000,0.5.4,24.0,livelossplot,,['jupyter'],,32934.0,514.0,504.0,https://pypi.org/project/livelossplot,2021-02-03 16:25:47.000000,10.0,32934.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n405,Optimus,ironmussa/Optimus,,data-pipelines,https://github.com/ironmussa/Optimus,https://github.com/ironmussa/Optimus,Apache-2.0,2017-07-13 02:31:18.000000,2021-04-15 21:25:05.000000,2021-04-15 21:24:55.000000,190,139.0,169.0,999,3530.0,\"Agile Data Preparation Workflows madeeasy with pandas, dask, cudf, dask_cudf and pyspark.\",21.0,24,True,2020-07-19 03:05:40.000000,2.2.32,85.0,optimuspyspark,,['spark'],,8508.0,14.0,14.0,https://pypi.org/project/optimuspyspark,2019-05-30 02:22:54.000000,,8508.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n406,spacy-transformers,explosion/spacy-transformers,,nlp,https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000000,2021-04-20 18:59:37.000000,2021-04-20 18:58:58.000000,109,48.0,,940,1328.0,\"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.\",15.0,24,True,2021-04-21 07:12:29.000000,1.0.2,44.0,spacy-transformers,,['spacy'],,30738.0,124.0,118.0,https://pypi.org/project/spacy-transformers,2021-02-02 09:54:58.000000,6.0,30738.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n407,PennyLane,PennyLaneAI/PennyLane,,others,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000000,2021-04-22 15:05:28.000000,2021-04-21 13:17:53.000000,244,99.0,270.0,839,1881.0,PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum..,44.0,24,True,2021-04-20 07:06:17.000000,0.15.0,21.0,pennylane,,,56.0,5034.0,20.0,,https://pypi.org/project/pennylane,2021-04-20 06:58:06.000000,20.0,5033.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n408,pyopencl,inducer/pyopencl,,others,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,MIT,2011-04-06 02:51:33.000000,2021-04-20 21:25:31.000000,2021-04-19 21:49:34.000000,216,59.0,214.0,804,,\"OpenCL integration for Python, plus shiny features.\",86.0,24,True,2021-04-03 02:30:03.000000,2021.1.5,61.0,pyopencl,conda-forge/pyopencl,,,26244.0,738.0,500.0,https://pypi.org/project/pyopencl,2021-04-05 18:20:12.000000,238.0,19208.0,https://anaconda.org/conda-forge/pyopencl,2021-04-05 21:08:34.776000,379963.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n409,openTSNE,pavlin-policar/openTSNE,,data-viz,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000000,2021-04-18 14:41:39.000000,2021-04-17 13:42:56.000000,84,5.0,80.0,786,539.0,\"Extensible, parallel implementations of t-SNE.\",10.0,24,True,2021-04-11 09:09:57.000000,0.5.2,20.0,opentsne,conda-forge/opentsne,,,19408.0,208.0,204.0,https://pypi.org/project/opentsne,2021-04-11 09:09:57.000000,4.0,16172.0,https://anaconda.org/conda-forge/opentsne,2021-04-11 12:02:53.887000,90616.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n410,PySwarms,ljvmiranda921/pyswarms,,others,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45.000000,2021-04-02 00:26:48.000000,2021-04-02 00:26:45.000000,236,23.0,156.0,765,408.0,A research toolkit for particle swarm optimization in Python.,43.0,24,True,2021-01-03 21:34:15.000000,1.3.0,20.0,pyswarms,,,,5766.0,100.0,100.0,https://pypi.org/project/pyswarms,2021-01-03 21:34:15.000000,0.0,5766.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n411,empyrical,quantopian/empyrical,,financial-data,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52.000000,2020-10-14 13:28:13.625000,2020-10-14 13:22:39.000000,241,27.0,26.0,761,167.0,Common financial risk and performance metrics. Used by zipline and pyfolio.,22.0,24,True,2020-10-13 21:29:19.000000,0.5.5,21.0,empyrical,conda-forge/empyrical,,,57160.0,803.0,581.0,https://pypi.org/project/empyrical,2020-10-13 21:29:19.000000,222.0,56874.0,https://anaconda.org/conda-forge/empyrical,2020-10-14 13:28:13.625000,10880.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n412,GPyOpt,SheffieldML/GPyOpt,,hyperopt,https://github.com/SheffieldML/GPyOpt,https://github.com/SheffieldML/GPyOpt,BSD-3-Clause,2014-08-13 09:58:25.000000,2020-11-17 10:32:02.000000,2020-11-05 15:16:04.000000,221,100.0,186.0,727,514.0,Gaussian Process Optimization using GPy.,49.0,24,True,2020-03-19 21:21:18.000000,1.2.6,11.0,gpyopt,,,,11753.0,223.0,187.0,https://pypi.org/project/gpyopt,2020-03-19 11:37:45.000000,36.0,11753.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n413,Hail,hail-is/hail,,medical-data,https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000000,2021-04-22 14:29:10.000000,2021-04-22 09:58:17.000000,184,323.0,1940.0,715,7617.0,Scalable genomic data analysis.,73.0,24,True,2021-03-11 20:43:46.000000,0.2.64,84.0,hail,,['spark'],,6457.0,35.0,35.0,https://pypi.org/project/hail,2021-03-11 20:43:51.000000,0.0,6457.0,,,,2.0,,,,,,,,-1.0,,,,,,,,,,,,,,,,,,,\n414,mahotas,luispedro/mahotas,,image,https://github.com/luispedro/mahotas,https://github.com/luispedro/mahotas,MIT,2010-01-31 00:13:06.000000,2021-01-22 05:47:20.379000,2021-01-13 11:55:02.000000,132,16.0,57.0,678,1276.0,Computer Vision in Python.,30.0,24,True,2020-08-16 17:22:48.000000,1.4.11,57.0,mahotas,conda-forge/mahotas,,,36560.0,804.0,614.0,https://pypi.org/project/mahotas,2020-08-16 17:22:48.000000,190.0,32094.0,https://anaconda.org/conda-forge/mahotas,2021-01-22 05:47:20.379000,272486.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n415,SALib,SALib/SALib,,probabilistics,https://github.com/SALib/SALib,https://github.com/SALib/SALib,MIT,2013-05-30 13:38:10.000000,2021-04-21 13:31:22.000000,2021-04-21 13:20:34.000000,147,39.0,191.0,453,948.0,\"Sensitivity Analysis Library in Python (Numpy). Contains Sobol, Morris, Fractional Factorial and FAST methods.\",25.0,24,True,2021-04-21 13:22:20.000000,1.3.13,31.0,salib,conda-forge/salib,,,27238.0,44.0,,https://pypi.org/project/salib,2021-04-21 13:31:22.000000,44.0,26070.0,https://anaconda.org/conda-forge/salib,2020-10-24 17:04:41.614000,61934.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n416,findspark,minrk/findspark,,others,https://github.com/minrk/findspark,https://github.com/minrk/findspark,BSD-3-Clause,2015-06-12 21:34:06.000000,2020-06-08 09:32:35.000000,2020-06-08 09:31:58.000000,68,11.0,8.0,395,67.0,Find pyspark to make it importable.,14.0,24,True,2020-06-08 09:32:23.000000,1.4.2,12.0,findspark,conda-forge/findspark,['spark'],,1037438.0,1842.0,1640.0,https://pypi.org/project/findspark,2020-06-08 09:32:23.000000,202.0,1028278.0,https://anaconda.org/conda-forge/findspark,2018-07-06 12:57:33.438000,531314.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n417,sklearn-crfsuite,TeamHG-Memex/sklearn-crfsuite,,sklearn-utils,https://github.com/TeamHG-Memex/sklearn-crfsuite,https://github.com/TeamHG-Memex/sklearn-crfsuite,MIT,2015-11-26 21:15:41.000000,2020-12-30 08:00:27.000000,2019-12-05 08:17:22.000000,155,33.0,22.0,368,46.0,scikit-learn inspired API for CRFsuite.,6.0,24,False,2017-06-22 18:49:27.000000,0.3.6,9.0,sklearn-crfsuite,,['sklearn'],,102310.0,3051.0,2655.0,https://pypi.org/project/sklearn-crfsuite,2017-06-22 18:49:27.000000,396.0,102310.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n418,pyvips,libvips/pyvips,,image,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000000,2021-03-19 19:33:38.000000,2021-02-24 09:49:23.000000,26,73.0,142.0,309,392.0,python binding for libvips using cffi.,10.0,24,True,2020-12-18 11:44:57.000000,2.1.14,20.0,pyvips,conda-forge/pyvips,,,11087.0,192.0,170.0,https://pypi.org/project/pyvips,2020-12-18 11:44:57.000000,22.0,10675.0,https://anaconda.org/conda-forge/pyvips,2020-10-14 10:02:33.542000,8243.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n419,ml-metadata,google/ml-metadata,,ml-experiments,https://github.com/google/ml-metadata,https://github.com/google/ml-metadata,Apache-2.0,2019-01-15 21:02:09.000000,2021-04-20 22:20:54.000000,2021-04-20 22:20:50.000000,66,17.0,44.0,308,493.0,For recording and retrieving metadata associated with ML developer and data scientist workflows.,12.0,24,True,2021-04-20 01:16:08.000000,0.30.0,26.0,ml-metadata,,,1258.0,380097.0,103.0,103.0,https://pypi.org/project/ml-metadata,2021-04-20 01:16:08.000000,0.0,380047.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n420,TensorFlow Cloud,tensorflow/cloud,,tensorflow-utils,https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59.000000,2021-04-20 22:59:14.000000,2021-04-06 18:22:48.000000,47,47.0,25.0,234,522.0,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,17.0,24,True,2021-02-09 23:34:43.000000,0.1.13,16.0,tensorflow-cloud,,['tensorflow'],,186626.0,45.0,45.0,https://pypi.org/project/tensorflow-cloud,2021-02-09 23:34:43.000000,0.0,186626.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n421,pysparkling,svenkreiss/pysparkling,,data-pipelines,https://github.com/svenkreiss/pysparkling,https://github.com/svenkreiss/pysparkling,MIT,2015-05-09 19:23:20.000000,2021-03-05 14:35:43.000000,2021-02-22 17:29:11.000000,45,7.0,21.0,232,1527.0,A pure Python implementation of Apache Spark's RDD and DStream interfaces.,10.0,24,True,2021-01-10 21:15:26.000000,0.6.1,68.0,pysparkling,,,,13197.0,76.0,62.0,https://pypi.org/project/pysparkling,2021-01-10 21:15:26.000000,14.0,13197.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n422,Orion,Epistimio/orion,,hyperopt,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21.000000,2021-04-20 02:32:08.000000,2021-04-08 02:22:09.000000,40,39.0,114.0,189,2716.0,Asynchronous Distributed Hyperparameter Optimization.,23.0,24,True,2021-04-08 01:19:08.000000,0.1.14,15.0,orion,,,,3077.0,48.0,40.0,https://pypi.org/project/orion,2021-04-08 01:19:08.000000,8.0,3077.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n423,cortex,cortexlabs/cortex,,model-serialisation,https://github.com/cortexlabs/cortex,https://github.com/cortexlabs/cortex,Apache-2.0,2019-01-24 04:43:14.000000,2021-04-22 13:53:15.000000,2021-04-21 23:48:55.000000,571,137.0,860.0,7457,2049.0,Cost-effective serverless computing at scale.,21.0,23,True,2021-04-13 21:41:02.000000,0.33.0,52.0,cortex,,,,1767.0,0.0,,https://pypi.org/project/cortex,2021-04-13 21:24:41.000000,0.0,1767.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n424,Ciphey,Ciphey/Ciphey,,nlp,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39.000000,2021-04-17 23:37:17.538200,2021-04-13 19:00:38.000000,374,41.0,188.0,6728,1745.0,\"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.\",40.0,23,True,2021-02-28 10:55:16.000000,5.11.1,44.0,ciphey,,,,7143.0,,,https://pypi.org/project/ciphey,2021-02-28 10:54:10.000000,,6706.0,,,,3.0,,,remnux/ciphey,https://hub.docker.com/r/remnux/ciphey,2021-04-17 23:37:17.538200,3.0,9178.0,,,,,,,,,,,,,,,,,,,,\n425,mmdnn,Microsoft/MMdnn,,model-serialisation,https://github.com/microsoft/MMdnn,https://github.com/microsoft/MMdnn,MIT,2017-08-16 08:03:52.000000,2021-03-01 14:17:24.000000,2020-08-14 02:32:30.000000,941,308.0,287.0,5301,1083.0,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,85.0,23,True,2020-07-24 06:34:39.000000,0.3.1,12.0,mmdnn,,,3350.0,1076.0,55.0,52.0,https://pypi.org/project/mmdnn,2020-07-24 06:34:39.000000,3.0,995.0,,,,2.0,,,,,,,,-1.0,,,,,,,,,,,,,,,,,,,\n426,Apex,NVIDIA/apex,,gpu-utilities,https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000000,2021-04-22 14:28:28.000000,2021-04-19 22:24:14.000000,727,467.0,369.0,5276,841.0,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,82.0,23,True,,,1.0,,conda-forge/nvidia-apex,['pytorch'],,2235.0,528.0,528.0,,,,,https://anaconda.org/conda-forge/nvidia-apex,2020-11-23 18:41:00.769000,40239.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n427,PaddleHub,PaddlePaddle/PaddleHub,,others,https://github.com/PaddlePaddle/PaddleHub,https://github.com/PaddlePaddle/PaddleHub,Apache-2.0,2018-12-21 06:00:48.000000,2021-04-22 11:38:20.000000,2021-04-22 11:38:20.000000,1075,345.0,550.0,4950,,\"Awesome pre-trained models toolkit based on PaddlePaddle.300+ models including Image, Text, Audio and Video with Easy..\",37.0,23,True,2021-04-16 08:20:11.000000,2.1.0,43.0,paddlehub,,['paddle'],491.0,3170.0,171.0,171.0,https://pypi.org/project/paddlehub,2021-03-02 06:45:07.000000,0.0,3151.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n428,flashtext,vi3k6i5/flashtext,,nlp,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01.000000,2020-06-05 00:37:46.000000,2020-05-03 07:13:22.000000,542,52.0,49.0,4722,108.0,Extract Keywords from sentence or Replace keywords in sentences.,8.0,23,True,,,18.0,flashtext,,,,313978.0,457.0,425.0,https://pypi.org/project/flashtext,2018-02-16 05:24:17.000000,32.0,313978.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n429,neon,NervanaSystems/neon,,ml-frameworks,https://github.com/NervanaSystems/neon,https://github.com/NervanaSystems/neon,Apache-2.0,2014-10-16 01:00:17.000000,2020-12-23 01:21:42.000000,2019-05-22 18:27:54.000000,848,87.0,305.0,3852,1118.0,Intel Nervana reference deep learning framework committed to best performance on all hardware.,109.0,23,False,2018-01-05 23:25:04.000000,2.6.0,32.0,nervananeon,,,307.0,199.0,46.0,45.0,https://pypi.org/project/nervananeon,2018-01-05 23:25:04.000000,1.0,195.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n430,Image Deduplicator,idealo/imagededup,,image,https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54.000000,2021-03-16 10:25:33.000000,2020-11-23 17:40:40.000000,290,20.0,57.0,3496,460.0,Finding duplicate images made easy!.,9.0,23,True,2020-11-23 17:55:24.000000,0.2.4,9.0,imagededup,,['tensorflow'],,2459.0,13.0,11.0,https://pypi.org/project/imagededup,2020-11-22 21:09:36.000000,2.0,2459.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n431,Snips NLU,snipsco/snips-nlu,,nlp,https://github.com/snipsco/snips-nlu,https://github.com/snipsco/snips-nlu,Apache-2.0,2017-02-08 16:16:36.000000,2020-12-24 12:59:47.000000,2020-02-08 21:49:32.000000,467,51.0,196.0,3481,2153.0,Snips Python library to extract meaning from text.,21.0,23,False,2020-01-15 10:13:17.000000,0.20.2,58.0,snips-nlu,,,,6104.0,16.0,,https://pypi.org/project/snips-nlu,2020-01-15 10:13:17.000000,16.0,6104.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n432,PyAlgoTrade,gbeced/pyalgotrade,,financial-data,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54.000000,2021-04-19 00:39:07.000000,2018-08-21 02:42:52.000000,1187,45.0,81.0,3286,1156.0,Python Algorithmic Trading Library.,11.0,23,False,,,8.0,pyalgotrade,,,,836.0,94.0,73.0,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25.000000,21.0,836.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n433,segmentation_models,qubvel/segmentation_models,,image,https://github.com/qubvel/segmentation_models,https://github.com/qubvel/segmentation_models,MIT,2018-06-05 13:27:56.000000,2021-04-02 06:02:48.000000,2020-04-17 09:51:20.000000,719,162.0,243.0,3131,204.0,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,14.0,23,True,2020-01-10 11:36:02.000000,1.0.1,8.0,segmentation_models,,['tensorflow'],,18844.0,24.0,,https://pypi.org/project/segmentation_models,2020-01-10 11:36:02.000000,24.0,18844.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n434,Camelot,atlanhq/camelot,,data-loading,https://github.com/atlanhq/camelot,https://github.com/atlanhq/camelot,MIT,2016-06-18 11:48:49.000000,2020-07-27 12:28:15.000000,2019-10-15 05:25:40.000000,310,68.0,275.0,3027,446.0,Camelot: PDF Table Extraction for Humans.,23.0,23,False,2020-07-27 12:28:15.000000,0.8.2,21.0,camelot-py,,,,27472.0,20.0,,https://pypi.org/project/camelot-py,2020-07-27 12:28:15.000000,20.0,27472.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n435,SHOGUN,shogun-toolbox/shogun,,ml-frameworks,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32.000000,2021-03-05 12:19:13.000000,2020-12-08 16:56:38.000000,1049,467.0,1077.0,2816,16205.0,Unified and efficient Machine Learning.,248.0,23,True,2019-07-05 10:23:31.000000,shogun_6.1.4,10.0,,conda-forge/shogun,,,2170.0,,,,,,,https://anaconda.org/conda-forge/shogun,2018-06-25 20:49:17.070000,97132.0,3.0,,,shogun/shogun,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1448.0,,,,,,,,shogun,,,,,,,,,,,,\n436,Porcupine,Picovoice/Porcupine,,audio,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000000,2021-04-20 00:03:16.000000,2021-04-20 00:03:16.000000,342,8.0,296.0,2406,440.0,On-device wake word detection powered by deep learning.,26.0,23,True,2021-04-14 16:39:57.000000,1.9.5,19.0,pvporcupine,,,,1724.0,5.0,5.0,https://pypi.org/project/pvporcupine,2021-04-14 16:39:57.000000,0.0,1724.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n437,Gradio,gradio-app/gradio,,others,https://github.com/gradio-app/gradio,https://github.com/gradio-app/gradio,Apache-2.0,2018-12-19 08:24:04.000000,2021-04-19 19:03:42.000000,2021-04-19 19:03:33.000000,147,8.0,88.0,2337,970.0,\"Wrap UIs around any model, share with anyone.\",16.0,23,True,2021-03-12 19:09:36.000000,1.6.4,89.0,gradio,,,,5014.0,109.0,107.0,https://pypi.org/project/gradio,2021-03-12 19:09:36.000000,2.0,5014.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n438,analytics-zoo,intel-analytics/analytics-zoo,,distributed-ml,https://github.com/intel-analytics/analytics-zoo,https://github.com/intel-analytics/analytics-zoo,Apache-2.0,2017-05-05 02:27:30.000000,2021-04-22 09:00:41.000000,2021-04-22 06:19:36.000000,655,506.0,605.0,2275,2858.0,\"Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray.\",89.0,23,True,2020-12-17 03:25:36.000000,0.9.0,65.0,analytics-zoo,,['spark'],,2560.0,2.0,2.0,https://pypi.org/project/analytics-zoo,2021-04-11 16:21:59.000000,,2560.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n439,neuralcoref,huggingface/neuralcoref,,nlp,https://github.com/huggingface/neuralcoref,https://github.com/huggingface/neuralcoref,MIT,2017-07-03 13:04:16.000000,2021-02-24 08:54:06.000000,2021-02-24 08:54:03.000000,396,48.0,219.0,2258,115.0,Fast Coreference Resolution in spaCy with Neural Networks.,20.0,23,True,2019-04-08 11:28:27.000000,4.0.0,5.0,neuralcoref,conda-forge/neuralcoref,,195.0,7352.0,343.0,325.0,https://pypi.org/project/neuralcoref,2019-04-08 09:56:00.000000,18.0,6817.0,https://anaconda.org/conda-forge/neuralcoref,2020-02-21 22:10:40.453000,7440.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n440,PandasGUI,adamerose/pandasgui,,data-viz,https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT,2019-06-12 02:19:42.000000,2021-04-20 06:07:38.000000,2021-04-20 06:07:29.000000,122,27.0,74.0,2162,403.0,A GUI for Pandas DataFrames.,8.0,23,True,2021-03-07 08:16:51.000000,0.2.10,40.0,pandasgui,,['pandas'],,2986.0,61.0,59.0,https://pypi.org/project/pandasgui,2021-03-07 08:16:51.000000,2.0,2986.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n441,scikit-opt,guofei9987/scikit-opt,,sklearn-utils,https://github.com/guofei9987/scikit-opt,https://github.com/guofei9987/scikit-opt,MIT,2017-12-05 10:20:41.000000,2021-04-03 05:58:51.000000,2021-04-03 05:58:41.000000,501,25.0,73.0,2162,268.0,\"Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune..\",10.0,23,True,2021-03-27 15:31:11.000000,0.6.3,20.0,scikit-opt,,['sklearn'],,1721.0,33.0,30.0,https://pypi.org/project/scikit-opt,2021-03-27 15:27:39.000000,3.0,1721.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n442,ART,Trusted-AI/adversarial-robustness-toolbox,,adversarial,https://github.com/Trusted-AI/adversarial-robustness-toolbox,https://github.com/Trusted-AI/adversarial-robustness-toolbox,MIT,2018-03-15 14:40:43.000000,2021-04-22 11:46:11.000000,2021-04-20 16:22:25.000000,610,63.0,426.0,2154,,\"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..\",66.0,23,True,2021-04-16 23:43:51.000000,1.6.1,30.0,adversarial-robustness-toolbox,,,,4575.0,113.0,113.0,https://pypi.org/project/adversarial-robustness-toolbox,2021-03-16 14:39:19.000000,0.0,4575.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n443,Enigma Catalyst,enigmampc/catalyst,,financial-data,https://github.com/enigmampc/catalyst,https://github.com/enigmampc/catalyst,Apache-2.0,2017-06-13 22:31:34.000000,2021-01-05 19:10:30.000000,2020-12-28 10:58:58.000000,612,135.0,363.0,2121,6362.0,An Algorithmic Trading Library for Crypto-Assets in Python.,144.0,23,True,2018-11-11 16:46:28.000000,0.5.21,52.0,enigma-catalyst,,,,2751.0,24.0,22.0,https://pypi.org/project/enigma-catalyst,2018-11-11 16:46:28.000000,2.0,2751.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n444,TF Ranking,tensorflow/ranking,,recommender-systems,https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57.000000,2021-02-04 05:28:32.000000,2021-02-04 05:28:28.000000,374,26.0,204.0,2103,325.0,Learning to Rank in TensorFlow.,20.0,23,True,2021-02-02 16:58:47.000000,0.3.3,15.0,tensorflow_ranking,,['tensorflow'],,75755.0,2.0,,https://pypi.org/project/tensorflow_ranking,2021-01-30 02:05:46.000000,2.0,75755.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n445,Acme,deepmind/acme,,reinforcement-learning,https://github.com/deepmind/acme,https://github.com/deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000000,2021-04-22 13:33:15.000000,2021-04-22 13:32:35.000000,207,43.0,50.0,2027,417.0,A library of reinforcement learning components and agents.,38.0,23,True,2020-10-23 16:00:01.000000,0.2.0,9.0,dm-acme,,['tensorflow'],,1919.0,26.0,26.0,https://pypi.org/project/dm-acme,2020-10-23 16:00:01.000000,,1919.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n446,PyFlux,RJT1990/pyflux,,time-series-data,https://github.com/RJT1990/pyflux,https://github.com/RJT1990/pyflux,BSD-3-Clause,2016-02-16 20:12:02.000000,2019-03-19 10:45:02.000000,2018-12-16 15:30:13.000000,210,79.0,65.0,1865,118.0,Open source time series library for Python.,6.0,23,False,2017-11-21 16:27:06.000000,0.4.16,35.0,pyflux,,,,19662.0,210.0,180.0,https://pypi.org/project/pyflux,2017-11-21 16:27:06.000000,30.0,19662.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n447,GluonTS,awslabs/gluon-ts,,time-series-data,https://github.com/awslabs/gluon-ts,https://github.com/awslabs/gluon-ts,Apache-2.0,2019-05-15 17:17:29.000000,2021-04-22 14:58:14.000000,2021-04-21 09:34:06.000000,388,208.0,372.0,1854,694.0,Probabilistic time series modeling in Python.,71.0,23,True,2021-02-18 17:21:15.000000,0.6.7,30.0,gluonts,,['mxnet'],,32860.0,0.0,,https://pypi.org/project/gluonts,2021-02-18 17:21:15.000000,0.0,32860.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n448,Essentia,MTG/essentia,,audio,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000000,2021-04-22 10:25:20.000000,2021-04-07 11:09:37.000000,408,307.0,574.0,1795,2803.0,\"C++ library for audio and music analysis, description and synthesis, including Python bindings.\",71.0,23,False,2015-03-31 16:33:30.000000,2.0,9.0,essentia,,,,4211.0,186.0,176.0,https://pypi.org/project/essentia,2021-01-13 00:12:18.000000,10.0,4211.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n449,vidgear,abhiTronix/vidgear,,image,https://github.com/abhiTronix/vidgear,https://github.com/abhiTronix/vidgear,Apache-2.0,2019-03-17 02:42:42.000000,2021-04-20 10:11:27.000000,2021-01-01 04:26:42.000000,120,4.0,137.0,1726,547.0,High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features.,5.0,23,True,2021-01-01 07:57:09.000000,0.2.0,12.0,vidgear,,,336.0,2093.0,99.0,97.0,https://pypi.org/project/vidgear,2021-01-01 07:57:09.000000,2.0,2080.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n450,Pillow-SIMD,uploadcare/pillow-simd,,image,https://github.com/uploadcare/pillow-simd,https://github.com/uploadcare/pillow-simd,PIL,2014-11-12 15:33:02.000000,2021-03-29 10:51:57.000000,2020-06-02 14:50:14.000000,67,11.0,54.0,1582,,The friendly PIL fork.,310.0,23,False,2020-01-02 05:19:26.000000,7.0.0,35.0,pillow-simd,,,,32247.0,438.0,388.0,https://pypi.org/project/pillow-simd,2020-01-26 14:30:27.000000,50.0,32247.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n451,PyTextRank,DerwenAI/pytextrank,,nlp,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000000,2021-04-05 06:05:29.000000,2021-04-05 06:05:28.000000,300,17.0,48.0,1526,,Python implementation of TextRank for phrase extraction and summarization of text documents.,13.0,23,True,2021-03-25 19:46:28.000000,3.1.1,15.0,pytextrank,,,,10753.0,154.0,142.0,https://pypi.org/project/pytextrank,2021-03-25 19:46:28.000000,12.0,10753.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n452,streamparse,Parsely/streamparse,,data-pipelines,https://github.com/Parsely/streamparse,https://github.com/Parsely/streamparse,Apache-2.0,2014-05-02 20:33:50.000000,2020-12-18 18:44:04.000000,2020-12-18 18:43:59.000000,219,69.0,263.0,1431,1059.0,\"Run Python in Apache Storm topologies. Pythonic API, CLI tooling, and a topology DSL.\",40.0,23,True,2020-10-07 19:53:15.000000,4.0.0,47.0,streamparse,,,,3077.0,100.0,48.0,https://pypi.org/project/streamparse,2020-10-07 19:45:19.000000,52.0,3077.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n453,Talos,autonomio/talos,,hyperopt,https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41.000000,2021-04-10 08:48:31.000000,2020-11-21 16:27:04.000000,228,41.0,348.0,1391,538.0,\"Hyperparameter Optimization for TensorFlow, Keras and PyTorch.\",19.0,23,True,2020-11-09 16:48:30.000000,1.0,14.0,talos,,['tensorflow'],,2394.0,118.0,112.0,https://pypi.org/project/talos,2020-11-09 16:49:08.000000,6.0,2394.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n454,TNT,pytorch/tnt,,ml-experiments,https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58.000000,2021-01-22 09:14:29.000000,2021-01-05 19:36:17.000000,187,30.0,34.0,1310,156.0,\"Simple tools for logging and visualizing, loading and training.\",35.0,23,True,2019-11-15 12:57:59.000000,0.0.5.1,3.0,torchnet,,['pytorch'],,7646.0,613.0,563.0,https://pypi.org/project/torchnet,2018-07-29 23:16:03.000000,50.0,7646.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n455,fklearn,nubank/fklearn,,ml-frameworks,https://github.com/nubank/fklearn,https://github.com/nubank/fklearn,Apache-2.0,2019-02-27 14:32:57.000000,2021-04-08 18:09:58.000000,2021-02-09 20:46:53.000000,149,19.0,20.0,1310,117.0,fklearn: Functional Machine Learning.,37.0,23,True,2021-02-09 17:12:04.000000,1.22.0,20.0,fklearn,,,,7107.0,10.0,10.0,https://pypi.org/project/fklearn,2021-02-09 17:12:04.000000,,7107.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n456,Pypeline,cgarciae/pypeln,,data-pipelines,https://github.com/cgarciae/pypeln,https://github.com/cgarciae/pypeln,MIT,2018-09-01 13:43:31.000000,2021-04-13 00:55:39.000000,2021-04-13 00:55:39.000000,69,14.0,36.0,1220,235.0,Concurrent data pipelines in Python .,10.0,23,True,2021-01-05 18:00:06.000000,0.4.7,34.0,pypeln,,,,22007.0,10.0,,https://pypi.org/project/pypeln,2021-01-05 18:00:06.000000,10.0,22007.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n457,metric-learn,scikit-learn-contrib/metric-learn,,others,https://github.com/scikit-learn-contrib/metric-learn,https://github.com/scikit-learn-contrib/metric-learn,MIT,2013-11-02 08:29:47.000000,2021-04-21 15:12:12.000000,2021-04-15 16:15:51.000000,216,52.0,110.0,1136,264.0,Metric learning algorithms in Python.,19.0,23,True,2020-07-02 12:59:23.000000,0.6.2,10.0,metric-learn,,['sklearn'],,7295.0,152.0,134.0,https://pypi.org/project/metric-learn,2020-07-02 12:59:23.000000,18.0,7295.0,,,,3.0,,,,,,,,-1.0,,,,,,,,,,,,,,,,,,,\n458,tensorly,tensorly/tensorly,,others,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52.000000,2021-04-22 13:26:09.000000,2021-04-16 18:38:54.000000,202,36.0,104.0,997,,TensorLy: Tensor Learning in Python.,43.0,23,True,2021-04-15 15:01:47.000000,0.5.1,16.0,tensorly,conda-forge/tensorly,,,11817.0,157.0,137.0,https://pypi.org/project/tensorly,2020-12-07 20:30:41.000000,20.0,8150.0,https://anaconda.org/conda-forge/tensorly,2020-12-07 22:44:30.386000,128370.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n459,FinTA,peerchemist/finta,,financial-data,https://github.com/peerchemist/finta,https://github.com/peerchemist/finta,LGPL-3.0,2016-09-01 21:02:46.000000,2021-04-17 11:40:32.000000,2021-04-17 11:40:27.000000,320,10.0,62.0,984,382.0,Common financial technical indicators implemented in Pandas.,24.0,23,False,2021-04-03 08:51:49.000000,1.3,19.0,finta,,,,8234.0,74.0,70.0,https://pypi.org/project/finta,2020-10-21 11:39:44.000000,4.0,8234.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n460,FairScale,facebookresearch/fairscale,,distributed-ml,https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000000,2021-04-22 09:35:42.000000,2021-04-22 00:34:30.000000,73,38.0,117.0,974,407.0,PyTorch extensions for high performance and large scale training.,28.0,23,True,2021-04-13 22:21:27.000000,0.3.4,17.0,fairscale,,['pytorch'],,22205.0,15.0,15.0,https://pypi.org/project/fairscale,2021-04-19 19:54:04.000000,0.0,22205.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n461,Alibi,SeldonIO/alibi,,interpretability,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Apache-2.0,2019-02-26 10:10:56.000000,2021-04-22 08:13:51.000000,2021-04-20 15:21:41.000000,121,74.0,94.0,970,256.0,Algorithms for monitoring and explaining machine learning models.,13.0,23,True,2021-03-31 13:51:42.000000,0.5.7,17.0,alibi,,,,9634.0,95.0,77.0,https://pypi.org/project/alibi,2021-02-18 12:48:56.000000,18.0,9634.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n462,ChainerRL,chainer/chainerrl,,reinforcement-learning,https://github.com/chainer/chainerrl,https://github.com/chainer/chainerrl,MIT,2017-01-30 04:58:15.000000,2021-04-17 06:02:31.000000,2021-04-17 06:02:30.000000,205,75.0,146.0,940,3471.0,ChainerRL is a deep reinforcement learning library built on top of Chainer.,29.0,23,True,2020-02-14 05:35:56.000000,0.8.0,10.0,chainerrl,,,,712.0,111.0,97.0,https://pypi.org/project/chainerrl,2020-02-14 05:35:56.000000,14.0,712.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n463,ogb,snap-stanford/ogb,,graph,https://github.com/snap-stanford/ogb,https://github.com/snap-stanford/ogb,MIT,2019-11-22 22:13:57.000000,2021-04-21 13:06:14.000000,2021-04-15 06:53:32.000000,160,3.0,126.0,897,511.0,\"Benchmark datasets, data loaders, and evaluators for graph machine learning.\",14.0,23,True,2021-04-07 08:44:37.000000,1.3.1,14.0,ogb,,,,6805.0,82.0,82.0,https://pypi.org/project/ogb,2021-04-07 08:44:37.000000,0.0,6805.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n464,keract,philipperemy/keract,,interpretability,https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57.000000,2021-02-04 06:05:42.000000,2021-01-24 05:36:29.000000,178,2.0,76.0,876,359.0,Layers Outputs and Gradients in Keras. Made easy.,15.0,23,True,2021-01-22 09:01:30.000000,4.4.0,37.0,keract,,['tensorflow'],,2391.0,80.0,75.0,https://pypi.org/project/keract,2021-01-22 09:01:30.000000,5.0,2391.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n465,scikit-cuda,lebedov/scikit-cuda,,gpu-utilities,https://github.com/lebedov/scikit-cuda,https://github.com/lebedov/scikit-cuda,BSD-3-Clause,2010-09-27 02:02:07.000000,2021-03-30 14:24:47.000000,2021-03-30 14:24:27.000000,158,42.0,165.0,819,1029.0,Python interface to GPU-powered libraries.,44.0,23,True,2019-05-27 00:29:00.000000,0.5.3,7.0,scikit-cuda,,,,851.0,196.0,126.0,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00.000000,70.0,851.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n466,GPUtil,anderskm/gputil,,gpu-utilities,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43.000000,2020-10-01 05:42:49.000000,2019-08-16 09:00:15.000000,79,11.0,14.0,707,140.0,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,13.0,23,False,2018-12-18 09:12:13.000000,1.4.0,8.0,gputil,,,,99765.0,1229.0,1127.0,https://pypi.org/project/gputil,2018-12-18 09:12:13.000000,102.0,99765.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n467,pingouin,raphaelvallat/pingouin,,probabilistics,https://github.com/raphaelvallat/pingouin,https://github.com/raphaelvallat/pingouin,GPL-3.0,2018-04-01 01:10:22.000000,2021-04-14 23:58:01.810000,2021-04-14 21:19:35.000000,56,12.0,120.0,691,1079.0,Statistical package in Python based on Pandas.,18.0,23,False,2021-04-14 21:19:07.000000,0.3.11,32.0,pingouin,conda-forge/pingouin,,,32424.0,213.0,203.0,https://pypi.org/project/pingouin,2021-02-16 05:37:08.000000,10.0,31159.0,https://anaconda.org/conda-forge/pingouin,2021-04-14 23:58:01.810000,35428.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n468,arch,bashtage/arch,,financial-data,https://github.com/bashtage/arch,https://github.com/bashtage/arch,NCSA,2014-08-29 15:41:28.000000,2021-04-22 14:24:28.000000,2021-04-22 12:20:24.000000,163,13.0,138.0,690,,ARCH models in Python.,26.0,23,False,2021-03-16 08:28:41.000000,4.19,32.0,arch,,,,69569.0,323.0,281.0,https://pypi.org/project/arch,2021-03-16 08:30:20.000000,42.0,69569.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n469,Node2Vec,eliorc/node2vec,,graph,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000000,2021-04-16 07:45:36.000000,2021-04-16 07:42:56.000000,175,3.0,54.0,674,56.0,Implementation of the node2vec algorithm.,8.0,23,True,2021-04-16 07:45:36.000000,0.4.3,14.0,node2vec,conda-forge/node2vec,,,11558.0,141.0,131.0,https://pypi.org/project/node2vec,2021-04-02 06:33:26.000000,10.0,11075.0,https://anaconda.org/conda-forge/node2vec,2020-04-25 22:41:13.714000,16920.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n470,TreeInterpreter,andosa/treeinterpreter,,interpretability,https://github.com/andosa/treeinterpreter,https://github.com/andosa/treeinterpreter,BSD-3-Clause,2015-08-02 20:26:21.000000,2021-02-28 18:33:06.000000,2021-02-28 18:33:06.000000,132,24.0,4.0,656,37.0,Package for interpreting scikit-learn's decision tree and random forest predictions.,11.0,23,True,2021-01-10 20:12:39.000000,0.2.3,5.0,treeinterpreter,,['sklearn'],,167214.0,150.0,132.0,https://pypi.org/project/treeinterpreter,2021-01-10 20:12:39.000000,18.0,167214.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n471,scikit-multilearn,scikit-multilearn/scikit-multilearn,,sklearn-utils,https://github.com/scikit-multilearn/scikit-multilearn,https://github.com/scikit-multilearn/scikit-multilearn,BSD-2-Clause,2014-04-30 13:05:44.000000,2020-06-30 10:19:46.000000,2019-05-21 11:29:06.000000,120,66.0,92.0,655,487.0,A scikit-learn based module for multi-label et. al. classification.,15.0,23,False,2018-12-10 16:24:47.000000,0.2.0,6.0,scikit-multilearn,,['sklearn'],,75503.0,429.0,407.0,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47.000000,22.0,75503.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n472,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,,data-viz,https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14.000000,2021-04-11 17:43:50.000000,2021-04-11 17:43:46.000000,81,18.0,59.0,649,272.0,Bokeh Plotting Backend for Pandas and GeoPandas.,12.0,23,True,2021-04-11 17:43:13.000000,0.5.5,16.0,pandas-bokeh,,['pandas'],,9342.0,171.0,161.0,https://pypi.org/project/pandas-bokeh,2021-04-11 17:43:13.000000,10.0,9342.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n473,Guild AI,guildai/guildai,,ml-experiments,https://github.com/guildai/guildai,https://github.com/guildai/guildai,Apache-2.0,2017-09-27 18:57:50.000000,2021-04-12 20:27:53.000000,2021-04-12 19:55:04.000000,41,101.0,166.0,569,4527.0,\"Experiment tracking, ML developer tools.\",16.0,23,True,2021-03-25 22:43:31.000000,0.7.3,170.0,guildai,,,,8608.0,27.0,27.0,https://pypi.org/project/guildai,2021-04-12 20:27:53.000000,,8608.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n474,CellProfiler,CellProfiler/CellProfiler,,image,https://github.com/CellProfiler/CellProfiler,https://github.com/CellProfiler/CellProfiler,BSD-3-Clause,2011-04-05 12:10:12.000000,2021-04-16 17:24:05.000000,2021-04-16 14:14:14.000000,273,171.0,2784.0,555,15310.0,An open-source application for biological image analysis.,119.0,23,True,2021-02-16 21:59:54.000000,4.1.3,41.0,cellprofiler,,,883.0,772.0,4.0,4.0,https://pypi.org/project/cellprofiler,2017-09-04 18:03:36.000000,,762.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n475,combo,yzhao062/combo,,sklearn-utils,https://github.com/yzhao062/combo,https://github.com/yzhao062/combo,BSD-2-Clause,2019-07-14 01:13:36.000000,2021-03-29 00:05:33.000000,2021-03-15 01:39:54.000000,84,9.0,3.0,493,202.0,(AAAI' 20) A Python Toolbox for Machine Learning Model Combination.,1.0,23,True,2020-12-23 02:21:49.000000,0.1.2,12.0,combo,,\"['sklearn', 'xgboost']\",,29779.0,321.0,321.0,https://pypi.org/project/combo,2020-12-23 02:21:49.000000,0.0,29779.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n476,tinytag,devsnd/tinytag,,audio,https://github.com/devsnd/tinytag,https://github.com/devsnd/tinytag,MIT,2014-01-27 15:27:01.000000,2021-03-28 14:28:00.000000,2021-03-28 14:27:32.000000,82,16.0,64.0,453,313.0,\"Read music meta data and length of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA and Wave files with python 2 or 3.\",18.0,23,True,2020-11-05 12:44:52.000000,1.5.0,33.0,tinytag,,,,4859.0,432.0,336.0,https://pypi.org/project/tinytag,2020-11-05 12:44:52.000000,96.0,4859.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n477,python-ternary,marcharper/python-ternary,,data-viz,https://github.com/marcharper/python-ternary,https://github.com/marcharper/python-ternary,MIT,2012-08-07 23:48:55.000000,2021-03-31 17:34:05.000000,2021-03-31 17:34:05.000000,111,25.0,80.0,409,385.0,Ternary plotting library for python with matplotlib.,25.0,23,True,2021-02-17 18:38:15.000000,1.0.8,11.0,python-ternary,conda-forge/python-ternary,,14.0,5217.0,84.0,64.0,https://pypi.org/project/python-ternary,2021-02-17 18:38:15.000000,20.0,4347.0,https://anaconda.org/conda-forge/python-ternary,2021-02-17 22:38:55.625000,52212.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n478,messytables,okfn/messytables,,data-loading,https://github.com/okfn/messytables,https://github.com/okfn/messytables,MIT,2011-07-27 18:08:21.000000,2021-03-31 18:37:21.000000,2019-11-13 07:35:33.000000,101,34.0,55.0,365,601.0,Tools for parsing messy tabular data. This is now superseded by https://github.com/frictionlessdata/tabulator-py.,44.0,23,False,2017-02-09 12:37:47.000000,0.15.2,26.0,messytables,,,,7243.0,421.0,189.0,https://pypi.org/project/messytables,2017-02-09 12:37:47.000000,232.0,7243.0,,,,3.0,,,,,,,,-1.0,,,,,,,,,,,,,,,,,,,\n479,GeoViews,holoviz/geoviews,,geospatial-data,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000000,2021-04-13 11:40:25.000000,2021-04-13 11:40:25.000000,64,77.0,180.0,343,656.0,\"Simple, concise geographical visualization in Python.\",23.0,23,True,2021-03-13 16:29:11.000000,1.9.1,26.0,geoviews,conda-forge/geoviews,,,9208.0,20.0,,https://pypi.org/project/geoviews,2021-03-13 16:29:11.000000,20.0,7438.0,https://anaconda.org/conda-forge/geoviews,2021-03-14 15:19:05.550000,65490.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n480,Cornac,PreferredAI/cornac,,recommender-systems,https://github.com/PreferredAI/cornac,https://github.com/PreferredAI/cornac,Apache-2.0,2018-07-17 06:31:35.000000,2021-04-08 09:03:51.000000,2021-04-08 09:03:50.000000,63,3.0,41.0,322,1173.0,A Comparative Framework for Multimodal Recommender Systems.,11.0,23,True,2021-03-30 03:20:12.000000,1.12.0,37.0,cornac,conda-forge/cornac,,,10936.0,41.0,39.0,https://pypi.org/project/cornac,2021-03-30 03:23:59.000000,2.0,5304.0,https://anaconda.org/conda-forge/cornac,2021-03-30 16:45:43.648000,129557.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n481,pySBD,nipunsadvilkar/pySBD,,nlp,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20.000000,2021-02-11 16:42:37.000000,2021-02-11 16:40:18.000000,28,5.0,48.0,306,279.0,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,6.0,23,True,2021-02-11 16:42:37.000000,0.3.4,15.0,pysbd,,,,24370.0,134.0,130.0,https://pypi.org/project/pysbd,2021-02-11 16:36:33.000000,4.0,24370.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n482,NIPY,nipy/nipy,,medical-data,https://github.com/nipy/nipy,https://github.com/nipy/nipy,BSD-3-Clause,2010-05-02 10:00:33.000000,2021-03-30 10:02:24.000000,2021-03-29 16:56:48.000000,123,43.0,110.0,295,6427.0,Neuroimaging in Python FMRI analysis package.,63.0,23,True,2018-02-19 14:14:08.000000,0.4.2,6.0,nipy,conda-forge/nipy,,,4153.0,82.0,,https://pypi.org/project/nipy,2018-02-19 14:14:08.000000,82.0,2430.0,https://anaconda.org/conda-forge/nipy,2020-05-04 19:38:04.112000,77535.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n483,cuDF,rapidsai/cudf,,gpu-utilities,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000000,2021-04-22 14:24:57.000000,2021-04-22 14:04:02.000000,510,623.0,3009.0,3877,,cuDF - GPU DataFrame Library.,209.0,22,True,2021-04-21 16:05:23.000000,0.19.0,8.0,cudf,,,,1769.0,4.0,,https://pypi.org/project/cudf,2020-06-01 20:07:47.000000,4.0,1769.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n484,MatchZoo,NTMC-Community/MatchZoo,,nlp,https://github.com/NTMC-Community/MatchZoo,https://github.com/NTMC-Community/MatchZoo,Apache-2.0,2017-06-08 08:55:22.000000,2020-06-17 07:27:59.000000,2019-10-24 13:10:07.000000,877,27.0,428.0,3409,1808.0,\"Facilitating the design, comparison and sharing of deep text matching models.\",35.0,22,False,2019-10-24 13:09:11.000000,2.2.0,5.0,matchzoo,,['tensorflow'],,200.0,10.0,10.0,https://pypi.org/project/matchzoo,2019-10-24 13:09:11.000000,,200.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n485,AdaNet,tensorflow/adanet,,hyperopt,https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24.000000,2020-07-09 21:03:28.000000,2020-07-09 20:51:04.000000,509,65.0,47.0,3274,439.0,Fast and flexible AutoML with learning guarantees.,26.0,22,True,2020-07-09 21:03:28.000000,0.9.0,13.0,adanet,,['tensorflow'],,1164.0,38.0,36.0,https://pypi.org/project/adanet,2020-07-09 21:03:28.000000,2.0,1164.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n486,TensorTrade,tensortrade-org/tensortrade,,financial-data,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32.000000,2021-03-28 04:53:21.000000,2021-03-24 16:25:28.000000,706,27.0,142.0,3125,883.0,\"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.\",50.0,22,True,,,26.0,tensortrade,,,,1454.0,16.0,15.0,https://pypi.org/project/tensortrade,2020-12-20 18:30:31.000000,1.0,1454.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n487,TensorWatch,microsoft/tensorwatch,,ml-experiments,https://github.com/microsoft/tensorwatch,https://github.com/microsoft/tensorwatch,MIT,2019-05-15 08:29:34.000000,2021-04-13 09:44:02.000000,2021-01-15 19:46:05.000000,325,49.0,15.0,3073,112.0,\"Debugging, monitoring and visualization for Python Machine Learning and Data Science.\",13.0,22,True,2020-03-04 07:26:22.000000,0.9.1,14.0,tensorwatch,,,,4855.0,52.0,46.0,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22.000000,6.0,4855.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n488,Image Super-Resolution,idealo/image-super-resolution,,image,https://github.com/idealo/image-super-resolution,https://github.com/idealo/image-super-resolution,Apache-2.0,2018-11-26 13:41:13.000000,2021-04-08 09:55:00.000000,2020-11-11 15:09:19.000000,509,66.0,102.0,2707,138.0,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,9.0,22,True,2020-01-08 15:37:35.000000,2.2.0,11.0,ISR,,['tensorflow'],,4867.0,54.0,46.0,https://pypi.org/project/ISR,2020-01-08 15:37:35.000000,8.0,4863.0,,,,3.0,,,idealo/image-super-resolution-gpu,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,,138.0,,,,,,,,,,,,,,,,,,,,\n489,gpt-2-simple,minimaxir/gpt-2-simple,,nlp,https://github.com/minimaxir/gpt-2-simple,https://github.com/minimaxir/gpt-2-simple,MIT,2019-04-13 20:00:52.000000,2021-04-20 23:55:42.000000,2021-02-14 19:39:38.000000,540,144.0,93.0,2629,133.0,Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts.,17.0,22,True,2021-02-14 21:13:20.000000,0.7.2,16.0,gpt-2-simple,,['tensorflow'],216.0,10977.0,6.0,,https://pypi.org/project/gpt-2-simple,2021-02-14 20:20:24.000000,6.0,10968.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n490,tensorflow-graphics,tensorflow/graphics,,image,https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44.000000,2021-04-22 00:50:47.000000,2021-04-19 19:37:05.000000,286,101.0,84.0,2448,658.0,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,32.0,22,True,2020-05-20 19:56:41.000000,2020.5.20,21.0,tensorflow-graphics,,['tensorflow'],,2760.0,4.0,1.0,https://pypi.org/project/tensorflow-graphics,2020-05-20 19:56:41.000000,3.0,2760.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n491,MMLSpark,Azure/mmlspark,,distributed-ml,https://github.com/Azure/mmlspark,https://github.com/Azure/mmlspark,MIT,2017-06-05 08:23:44.000000,2021-04-22 11:15:15.000000,2021-04-21 04:15:32.000000,503,202.0,223.0,2314,805.0,Microsoft Machine Learning for Apache Spark.,64.0,22,True,2020-10-02 19:36:01.000000,1.0.0-rc3,17.0,mmlspark,,['spark'],,48862.0,,,https://pypi.org/project/mmlspark,2020-03-18 01:27:31.000000,,48862.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n492,Mars,mars-project/mars,,others,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03.000000,2021-04-22 09:50:52.000000,2021-04-21 08:29:58.000000,247,122.0,679.0,2100,778.0,\"Mars is a tensor-based unified framework for large-scale data computation which scales Numpy, pandas, Scikit-learn and..\",19.0,22,True,2021-04-11 08:20:27.000000,0.6.8,81.0,pymars,,,,6820.0,4.0,4.0,https://pypi.org/project/pymars,2021-04-11 08:41:06.000000,0.0,6820.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n493,MONAI,Project-MONAI/MONAI,,medical-data,https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000000,2021-04-22 10:46:35.000000,2021-04-22 00:03:13.000000,348,93.0,757.0,1920,991.0,AI Toolkit for Healthcare Imaging.,57.0,22,True,2021-04-13 14:20:33.000000,0.5.0,18.0,monai,,['pytorch'],,7280.0,0.0,,https://pypi.org/project/monai,2021-04-11 01:33:17.000000,0.0,7280.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n494,m2cgen,BayesWitnesses/m2cgen,,model-serialisation,https://github.com/BayesWitnesses/m2cgen,https://github.com/BayesWitnesses/m2cgen,MIT,2019-01-13 02:32:55.000000,2021-04-22 00:02:52.000000,2021-04-19 01:37:14.000000,153,36.0,43.0,1785,249.0,\"Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart,..\",12.0,22,True,2020-09-18 19:17:26.000000,0.9.0,12.0,m2cgen,,,,21925.0,6.0,6.0,https://pypi.org/project/m2cgen,2020-09-18 19:16:17.000000,,21925.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n495,STUMPY,TDAmeritrade/stumpy,,time-series-data,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000000,2021-04-20 11:07:02.000000,2021-04-20 11:06:42.000000,166,26.0,204.0,1765,,\"STUMPY is a powerful and scalable Python library for computing a Matrix Profile, which can be used for a variety of..\",21.0,22,True,2021-02-04 19:05:43.000000,1.8.0,19.0,stumpy,conda-forge/stumpy,,,71348.0,0.0,,https://pypi.org/project/stumpy,2021-02-04 19:05:43.000000,0.0,70478.0,https://anaconda.org/conda-forge/stumpy,2021-02-05 23:28:08.904000,20017.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n496,Multicore-TSNE,DmitryUlyanov/Multicore-TSNE,,data-viz,https://github.com/DmitryUlyanov/Multicore-TSNE,https://github.com/DmitryUlyanov/Multicore-TSNE,BSD-3-Clause,2016-10-19 05:46:52.000000,2020-12-20 08:15:51.000000,2020-08-19 14:58:00.000000,199,36.0,20.0,1562,113.0,Parallel t-SNE implementation with Python and Torch wrappers.,15.0,22,True,2017-11-08 13:32:20.000000,0.0.1,3.0,MulticoreTSNE,conda-forge/multicore-tsne,['pytorch'],,5208.0,249.0,221.0,https://pypi.org/project/MulticoreTSNE,2019-01-09 07:23:04.000000,28.0,4984.0,https://anaconda.org/conda-forge/multicore-tsne,2018-11-12 17:08:01.525000,6515.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n497,fast-bert,kaushaltrivedi/fast-bert,,nlp,https://github.com/utterworks/fast-bert,https://github.com/utterworks/fast-bert,Apache-2.0,2019-04-18 22:01:20.000000,2021-03-09 01:10:31.000000,2021-03-09 01:10:25.000000,315,139.0,91.0,1561,269.0,Super easy library for BERT based NLP models.,34.0,22,True,2021-03-09 00:19:27.000000,1.9.7,41.0,fast-bert,,,,3590.0,2.0,,https://pypi.org/project/fast-bert,2021-03-09 00:19:27.000000,2.0,3590.0,,,,3.0,,,,,,,,,,,,,,,,,,utterworks/fast-bert,,,,,,,,,\n498,lore,instacart/lore,,ml-experiments,https://github.com/instacart/lore,https://github.com/instacart/lore,MIT,2017-10-19 21:51:45.000000,2021-02-22 18:13:04.000000,2020-05-11 22:26:45.000000,119,16.0,18.0,1514,270.0,Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers.,22.0,22,True,2020-05-11 22:28:23.000000,0.8.4,231.0,lore,,,,4240.0,17.0,16.0,https://pypi.org/project/lore,2020-05-11 22:28:23.000000,1.0,4240.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n499,anaGo,Hironsan/anago,,nlp,https://github.com/Hironsan/anago,https://github.com/Hironsan/anago,MIT,2017-06-26 21:28:36.000000,2021-04-01 12:35:21.000000,2021-04-01 12:34:50.000000,360,36.0,71.0,1399,298.0,\"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.\",11.0,22,True,2018-07-17 01:59:21.000000,1.0.8,14.0,anago,,['tensorflow'],,4055.0,30.0,25.0,https://pypi.org/project/anago,2018-07-17 01:59:21.000000,5.0,4055.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n500,Neural Tangents,google/neural-tangents,,ml-frameworks,https://github.com/google/neural-tangents,https://github.com/google/neural-tangents,Apache-2.0,2019-04-08 16:48:48.000000,2021-04-21 18:20:21.000000,2021-04-21 18:20:17.000000,153,28.0,56.0,1397,372.0,Fast and Easy Infinite Neural Networks in Python.,18.0,22,True,2021-01-25 23:20:02.000000,0.3.6,20.0,neural-tangents,,,112.0,782.0,14.0,14.0,https://pypi.org/project/neural-tangents,2021-01-25 23:06:16.000000,0.0,771.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n501,EfficientNets,rwightman/gen-efficientnet-pytorch,,pytorch-utils,https://github.com/rwightman/gen-efficientnet-pytorch,https://github.com/rwightman/gen-efficientnet-pytorch,Apache-2.0,2019-05-11 19:35:56.000000,2021-04-16 18:42:01.000000,2020-11-30 05:49:27.000000,175,,48.0,1304,106.0,\"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.\",5.0,22,True,2020-08-20 19:55:21.000000,1.0.0,9.0,geffnet,,['pytorch'],,6433.0,47.0,47.0,https://pypi.org/project/geffnet,2020-08-20 19:55:21.000000,0.0,6433.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n502,Karate Club,benedekrozemberczki/karateclub,,graph,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56.000000,2021-04-11 20:49:05.000000,2021-04-11 20:48:57.000000,146,3.0,50.0,1229,2122.0,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,11.0,22,False,2021-03-30 00:11:09.000000,_10024,97.0,karateclub,,,,10628.0,36.0,36.0,https://pypi.org/project/karateclub,2021-03-30 00:05:59.000000,0.0,10628.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n503,Torch Points 3D,nicolas-chaulet/torch-points3d,,image,https://github.com/nicolas-chaulet/torch-points3d,https://github.com/nicolas-chaulet/torch-points3d,BSD-3-Clause,2019-12-06 11:33:34.000000,2021-04-21 14:56:52.000000,2021-04-21 14:56:49.000000,178,51.0,173.0,1198,1623.0,Pytorch framework for doing deep learning on point clouds.,21.0,22,True,2020-12-18 10:34:16.000000,1.2.0,13.0,torch-points3d,,['pytorch'],,562.0,2.0,2.0,https://pypi.org/project/torch-points3d,2020-12-18 10:34:16.000000,,562.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n504,FARM,deepset-ai/FARM,,nlp,https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12.000000,2021-04-07 10:11:07.000000,2021-04-07 10:11:07.000000,173,38.0,316.0,1177,550.0,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,32.0,22,True,2021-03-31 14:33:39.000000,0.7.1,23.0,farm,,['pytorch'],,6784.0,2.0,,https://pypi.org/project/farm,2021-02-22 17:30:04.000000,2.0,6784.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n505,mljar-supervised,mljar/mljar-supervised,,hyperopt,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000000,2021-04-17 13:29:04.000000,2021-04-17 13:29:04.000000,134,56.0,301.0,1097,884.0,Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning.,9.0,22,True,2021-04-01 15:02:32.000000,0.10.3,70.0,mljar-supervised,,,,3946.0,10.0,10.0,https://pypi.org/project/mljar-supervised,2021-04-01 14:13:12.000000,,3946.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n506,pycm,sepandhaghighi/pycm,,others,https://github.com/sepandhaghighi/pycm,https://github.com/sepandhaghighi/pycm,MIT,2018-01-22 19:46:54.000000,2021-04-09 10:10:27.000000,2021-03-11 15:42:19.000000,93,12.0,155.0,1086,2619.0,Multi-class confusion matrix library in Python.,14.0,22,True,2021-03-11 15:51:49.000000,3.1,35.0,pycm,,,,6233.0,106.0,96.0,https://pypi.org/project/pycm,2021-03-11 15:52:23.000000,10.0,6233.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n507,pandasql,yhat/pandasql,,data-containers,https://github.com/yhat/pandasql,https://github.com/yhat/pandasql,MIT,2013-02-18 01:53:56.000000,2020-08-14 13:00:13.000000,2017-02-01 15:40:30.000000,141,44.0,23.0,964,127.0,sqldf for pandas.,15.0,22,False,2016-04-20 21:52:36.000000,0.7.3,31.0,pandasql,,['pandas'],,338335.0,808.0,710.0,https://pypi.org/project/pandasql,2016-04-20 21:52:36.000000,98.0,338335.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n508,fastFM,ibayer/fastFM,,recommender-systems,https://github.com/ibayer/fastFM,https://github.com/ibayer/fastFM,BSD-3-Clause,2014-10-27 12:25:51.000000,2021-03-24 12:22:31.000000,2021-03-24 12:22:31.000000,188,44.0,59.0,916,297.0,fastFM: A Library for Factorization Machines.,20.0,22,True,2017-11-23 06:59:56.000000,0.2.11,10.0,fastfm,,,385.0,1100.0,88.0,80.0,https://pypi.org/project/fastfm,2017-11-23 06:59:56.000000,8.0,1095.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n509,SciSpacy,allenai/scispacy,,nlp,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52.000000,2021-04-19 22:02:42.000000,2021-04-19 22:02:36.000000,129,23.0,153.0,892,,A full spaCy pipeline and models for scientific/biomedical documents.,20.0,22,True,2021-02-12 22:56:06.000000,0.4.0,10.0,scispacy,,,,17396.0,247.0,235.0,https://pypi.org/project/scispacy,2021-02-12 22:56:06.000000,12.0,17396.0,,,,3.0,,,,,,,,-2.0,,,,,,,,,,,,,,,,,,,\n510,minisom,JustGlowing/minisom,,others,https://github.com/JustGlowing/minisom,https://github.com/JustGlowing/minisom,CC-BY-3.0,2013-07-03 10:10:06.000000,2021-04-03 16:15:34.000000,2021-04-03 16:15:34.000000,260,7.0,66.0,822,434.0,MiniSom is a minimalistic implementation of the Self Organizing Maps.,20.0,22,False,2021-03-16 07:19:52.000000,2.2.8,15.0,minisom,,,,4655.0,169.0,161.0,https://pypi.org/project/minisom,2020-11-03 08:18:16.000000,8.0,4655.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n511,Neural Structured Learning,tensorflow/neural-structured-learning,,tensorflow-utils,https://github.com/tensorflow/neural-structured-learning,https://github.com/tensorflow/neural-structured-learning,Apache-2.0,2019-08-27 21:48:16.000000,2021-04-17 01:01:02.000000,2021-04-17 01:00:58.000000,143,5.0,40.0,805,421.0,Training neural models with structured signals.,27.0,22,True,2020-08-18 00:35:35.000000,1.3.1,7.0,neural-structured-learning,,['tensorflow'],,5865.0,54.0,54.0,https://pypi.org/project/neural-structured-learning,2020-08-18 00:35:35.000000,0.0,5865.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n512,tf-explain,sicara/tf-explain,,interpretability,https://github.com/sicara/tf-explain,https://github.com/sicara/tf-explain,MIT,2019-07-15 08:26:24.000000,2021-04-19 12:18:12.000000,2021-04-19 12:18:11.000000,77,33.0,46.0,800,198.0,Interpretability Methods for tf.keras models with Tensorflow 2.x.,14.0,22,True,2021-02-16 18:59:38.000000,0.3.0,7.0,tf-explain,,['tensorflow'],,1690.0,71.0,69.0,https://pypi.org/project/tf-explain,2021-02-16 18:59:38.000000,2.0,1690.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n513,Opacus,pytorch/opacus,,privacy-ml,https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000000,2021-04-22 08:32:57.000000,2021-04-22 08:29:43.000000,114,14.0,63.0,792,239.0,Training PyTorch models with differential privacy.,28.0,22,True,2021-03-10 19:25:01.000000,0.13.0,8.0,opacus,,['pytorch'],31.0,7982.0,25.0,25.0,https://pypi.org/project/opacus,2021-03-10 19:25:01.000000,0.0,7980.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n514,fairlearn,fairlearn/fairlearn,,interpretability,https://github.com/fairlearn/fairlearn,https://github.com/fairlearn/fairlearn,MIT,2018-05-15 01:51:35.000000,2021-04-21 13:07:01.000000,2021-04-19 09:02:01.000000,184,80.0,123.0,761,556.0,A Python package to assess and improve fairness of machine learning models.,35.0,22,True,2021-04-13 22:37:32.000000,0.6.1,14.0,fairlearn,conda-forge/fairlearn,['sklearn'],,16917.0,2.0,,https://pypi.org/project/fairlearn,2021-04-13 22:37:32.000000,2.0,16097.0,https://anaconda.org/conda-forge/fairlearn,2021-04-13 16:53:34.138000,11482.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n515,stockstats,jealous/stockstats,,financial-data,https://github.com/jealous/stockstats,https://github.com/jealous/stockstats,BSD-3-Clause,2016-06-05 15:21:22.000000,2020-12-10 07:08:11.000000,2020-10-17 10:59:35.000000,210,29.0,31.0,755,23.0,Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.,7.0,22,True,2020-10-17 11:10:43.000000,0.3.2,14.0,stockstats,,,,42499.0,273.0,225.0,https://pypi.org/project/stockstats,2020-10-17 11:10:43.000000,48.0,42499.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n516,kapre,keunwoochoi/kapre,,audio,https://github.com/keunwoochoi/kapre,https://github.com/keunwoochoi/kapre,MIT,2016-12-14 18:36:36.000000,2021-03-25 21:02:49.000000,2021-03-25 21:02:44.000000,129,6.0,80.0,732,190.0,kapre: Keras Audio Preprocessors.,13.0,22,True,2021-03-18 22:14:02.000000,Kapre-0.3.5,21.0,kapre,,['tensorflow'],10.0,3017.0,690.0,668.0,https://pypi.org/project/kapre,2020-09-29 18:49:13.000000,22.0,3017.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n517,gmaps,pbugnion/gmaps,,geospatial-data,https://github.com/pbugnion/gmaps,https://github.com/pbugnion/gmaps,BSD-3-Clause,2014-12-01 09:12:06.000000,2020-10-13 07:09:18.000000,2019-07-22 06:22:45.000000,143,66.0,135.0,710,1380.0,Google maps for Jupyter notebooks.,16.0,22,False,2019-07-21 08:49:48.715000,0.9.0,94.0,gmaps,conda-forge/gmaps,['jupyter'],,17753.0,75.0,1.0,https://pypi.org/project/gmaps,2019-07-21 08:49:39.000000,74.0,10712.0,https://anaconda.org/conda-forge/gmaps,2019-08-02 11:56:50.940000,219440.0,3.0,,,,,,,,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715000,,2373.0,,,,,,,,,,,,,,\n518,NeuPy,itdxer/neupy,,ml-frameworks,https://github.com/itdxer/neupy,https://github.com/itdxer/neupy,MIT,2015-08-24 19:45:11.000000,2021-03-18 20:44:32.000000,2019-09-02 19:02:38.000000,148,27.0,230.0,676,1145.0,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,6.0,22,False,2019-04-04 19:44:59.000000,0.8.2,34.0,neupy,,,,1842.0,112.0,101.0,https://pypi.org/project/neupy,2019-04-04 19:43:06.000000,11.0,1842.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n519,torch-scatter,rusty1s/pytorch_scatter,,pytorch-utils,https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23.000000,2021-03-25 07:25:04.000000,2021-03-25 07:25:00.000000,76,67.0,120.0,641,825.0,PyTorch Extension Library of Optimized Scatter Operations.,15.0,22,True,2021-03-02 14:52:22.000000,2.0.6,26.0,torch-scatter,,['pytorch'],,21465.0,32.0,,https://pypi.org/project/torch-scatter,2021-03-03 06:21:28.000000,32.0,21465.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n520,TensorBoard Logger,TeamHG-Memex/tensorboard_logger,,ml-experiments,https://github.com/TeamHG-Memex/tensorboard_logger,https://github.com/TeamHG-Memex/tensorboard_logger,MIT,2016-10-27 14:02:25.000000,2021-03-25 21:30:56.000000,2019-10-21 07:52:07.000000,52,9.0,15.0,612,46.0,Log TensorBoard events without touching TensorFlow.,5.0,22,False,2018-02-08 07:28:51.000000,0.1.0,5.0,tensorboard_logger,,,,96154.0,96.0,,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51.000000,96.0,96154.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n521,Mapbox GL,mapbox/mapboxgl-jupyter,,geospatial-data,https://github.com/mapbox/mapboxgl-jupyter,https://github.com/mapbox/mapboxgl-jupyter,MIT,2017-08-08 15:10:51.000000,2021-04-19 05:03:57.000000,2021-04-19 05:00:36.000000,121,35.0,67.0,563,221.0,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,21.0,22,True,2019-06-03 21:24:10.000000,0.10.2,20.0,mapboxgl,,['jupyter'],,7932.0,113.0,95.0,https://pypi.org/project/mapboxgl,2019-06-02 15:18:57.000000,18.0,7932.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n522,lazypredict,shankarpandala/lazypredict,,hyperopt,https://github.com/shankarpandala/lazypredict,https://github.com/shankarpandala/lazypredict,MIT,2019-11-16 09:56:35.000000,2021-04-10 02:38:00.000000,2021-04-10 02:37:59.000000,93,17.0,30.0,446,195.0,Lazy Predict help build a lot of basic models without much code and helps understand which models works better without..,12.0,22,True,2021-02-17 15:38:45.000000,0.2.9,11.0,lazypredict,,['sklearn'],,3433.0,54.0,54.0,https://pypi.org/project/lazypredict,2021-02-17 15:38:45.000000,,3433.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n523,random-forest-importances,parrt/random-forest-importances,,interpretability,https://github.com/parrt/random-forest-importances,https://github.com/parrt/random-forest-importances,MIT,2018-03-22 19:20:13.000000,2021-01-30 21:50:08.000000,2021-01-30 21:50:02.000000,95,4.0,27.0,434,249.0,Code to compute permutation and drop-column importances in Python scikit-learn models.,14.0,22,True,2021-01-28 23:23:17.000000,1.3.7,22.0,rfpimp,,['sklearn'],,28387.0,74.0,70.0,https://pypi.org/project/rfpimp,2021-01-28 23:19:33.000000,4.0,28387.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n524,SDV,sdv-dev/SDV,,data-loading,https://github.com/sdv-dev/SDV,https://github.com/sdv-dev/SDV,MIT,2018-05-11 15:56:50.000000,2021-04-16 16:04:27.000000,2021-04-16 15:56:33.000000,71,67.0,176.0,393,820.0,\"Synthetic Data Generation for tabular, relational and time series data.\",33.0,22,True,2021-04-01 01:14:47.000000,0.9.0,44.0,sdv,,,,6173.0,20.0,20.0,https://pypi.org/project/sdv,2021-04-01 01:11:08.000000,0.0,6173.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n525,PyTorch Sparse,rusty1s/pytorch_sparse,,pytorch-utils,https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53.000000,2021-04-01 05:27:22.000000,2021-04-01 05:27:22.000000,51,43.0,59.0,384,533.0,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,14.0,22,True,2021-03-03 15:26:45.000000,0.6.9,21.0,torch-sparse,,['pytorch'],,13544.0,34.0,,https://pypi.org/project/torch-sparse,2020-11-02 10:43:20.000000,34.0,13544.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n526,aequitas,dssg/aequitas,,interpretability,https://github.com/dssg/aequitas,https://github.com/dssg/aequitas,MIT,2018-02-13 19:40:30.000000,2021-03-19 10:35:14.000000,2021-02-23 13:51:06.000000,71,35.0,21.0,375,856.0,Bias and Fairness Audit Toolkit.,16.0,22,True,2020-12-16 11:48:14.000000,0.42.0,16.0,aequitas,,,,1303.0,77.0,71.0,https://pypi.org/project/aequitas,2020-12-16 11:48:14.000000,6.0,1303.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n527,Studio.ml,studioml/studio,,ml-experiments,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28.000000,2021-03-27 00:16:08.000000,2021-03-27 00:10:16.000000,50,56.0,192.0,372,2353.0,Studio: Simplify and expedite model building process.,21.0,22,True,2021-03-19 21:35:43.000000,0.0.43,194.0,studioml,,,,2230.0,4.0,4.0,https://pypi.org/project/studioml,2021-03-27 00:16:08.000000,,2230.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n528,torch-cluster,rusty1s/pytorch_cluster,,graph,https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06.000000,2021-03-06 06:14:10.000000,2021-03-06 06:14:04.000000,71,38.0,40.0,360,521.0,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,18.0,22,True,2021-03-01 13:58:47.000000,1.5.9,39.0,torch-cluster,,['pytorch'],,9633.0,32.0,,https://pypi.org/project/torch-cluster,2021-03-01 12:28:43.000000,32.0,9633.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n529,vega,vega/ipyvega,,data-viz,https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000000,2021-04-02 09:23:26.000000,2021-04-02 09:23:25.000000,44,8.0,79.0,300,492.0,IPython/Jupyter notebook module for Vega and Vega-Lite.,9.0,22,True,2020-05-15 23:40:02.000000,3.4.0,37.0,vega,conda-forge/vega,['jupyter'],,25203.0,148.0,,https://pypi.org/project/vega,2020-05-15 23:40:02.000000,148.0,18150.0,https://anaconda.org/conda-forge/vega,2020-12-10 15:03:57.175000,409101.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n530,py3nvml,fbcotter/py3nvml,,gpu-utilities,https://github.com/fbcotter/py3nvml,https://github.com/fbcotter/py3nvml,BSD-3-Clause,2016-11-21 01:07:37.000000,2020-10-10 10:41:08.987000,2020-04-23 06:54:42.000000,24,1.0,10.0,171,79.0,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,6.0,22,True,2020-04-06 16:02:10.000000,0.2.6,13.0,py3nvml,conda-forge/py3nvml,,,116339.0,269.0,249.0,https://pypi.org/project/py3nvml,2020-04-06 16:02:10.000000,20.0,115302.0,https://anaconda.org/conda-forge/py3nvml,2020-10-10 10:41:08.987000,15563.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n531,stop-words,Alir3z4/python-stop-words,,nlp,https://github.com/Alir3z4/python-stop-words,https://github.com/Alir3z4/python-stop-words,BSD-3-Clause,2014-05-26 06:44:03.000000,2019-10-16 15:01:43.000000,2018-07-23 21:04:09.000000,23,3.0,9.0,122,90.0,Get list of common stop words in various languages in Python.,8.0,22,False,2018-07-23 20:58:34.000000,2018.7.23,8.0,stop-words,,,,78349.0,1424.0,1166.0,https://pypi.org/project/stop-words,2018-07-23 20:55:55.000000,258.0,78349.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n532,pyexcel-xlsx,pyexcel/pyexcel-xlsx,,data-loading,https://github.com/pyexcel/pyexcel-xlsx,https://github.com/pyexcel/pyexcel-xlsx,BSD-3-Clause,2014-12-02 00:03:24.000000,2020-11-28 22:30:58.000000,2020-11-28 22:30:53.000000,16,12.0,20.0,87,267.0,\"A wrapper library to read, manipulate and write data in xlsx and xlsm format using openpyxl.\",4.0,22,False,2020-10-10 13:13:32.000000,0.6.0,30.0,pyexcel-xlsx,conda-forge/pyexcel-xlsx,,46.0,81248.0,1486.0,1176.0,https://pypi.org/project/pyexcel-xlsx,2020-10-10 13:13:32.000000,310.0,80867.0,https://anaconda.org/conda-forge/pyexcel-xlsx,2020-10-10 15:53:49.660000,16038.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n533,PyStan,stan-dev/pystan,,probabilistics,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,ISC,2017-03-06 19:56:42.094000,2021-04-19 19:22:16.000000,2021-04-19 19:22:16.000000,16,13.0,110.0,65,,\"PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io.\",7.0,22,False,2021-04-02 15:19:02.000000,3.0.1,60.0,pystan,conda-forge/pystan,,,1053699.0,342.0,,https://pypi.org/project/pystan,2021-04-02 15:19:02.000000,342.0,1034188.0,https://anaconda.org/conda-forge/pystan,2020-08-25 22:40:14.631000,956052.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n534,openpyxl,,,data-loading,,https://openpyxl.readthedocs.io,MIT,2015-11-03 00:22:17.154000,2021-03-13 16:57:07.865000,,0,200.0,1471.0,19,,A Python library to read/write Excel 2010 xlsx/xlsm files.,,22,False,2021-03-10 19:38:02.000000,3.0.7,97.0,openpyxl,openpyxl,,,10985079.0,9770.0,,https://pypi.org/project/openpyxl,2021-03-09 19:13:10.000000,9770.0,10984331.0,https://anaconda.org/anaconda/openpyxl,2021-03-13 16:57:07.865000,47484.0,3.0,https://openpyxl.readthedocs.io/en/stable/,,openpyxl/openpyxl-ci,https://hub.docker.com/r/openpyxl/openpyxl-ci,2018-09-13 18:04:17.646261,,1181.0,,,,,,,0.0,,,,,,,,,,,,https://foss.heptapod.net/api/graphql::openpyxl/openpyxl,https://foss.heptapod.net/openpyxl/openpyxl\n535,Recommenders,microsoft/recommenders,,recommender-systems,https://github.com/microsoft/recommenders,https://github.com/microsoft/recommenders,MIT,2018-09-19 10:06:07.000000,2021-04-21 10:21:07.000000,2021-04-06 13:17:27.000000,1679,126.0,442.0,9554,6334.0,Best Practices on Recommendation Systems.,93.0,21,True,2021-02-04 14:08:48.000000,2021.2,7.0,,,,,,2.0,2.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n536,Dejavu,worldveil/dejavu,,audio,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35.000000,2020-10-29 17:40:17.000000,2020-06-03 05:58:03.000000,1250,84.0,129.0,5386,146.0,Audio fingerprinting and recognition in Python.,23.0,21,True,2015-04-19 21:20:16.000000,0.1.3,4.0,PyDejavu,,,,166.0,21.0,18.0,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16.000000,3.0,166.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n537,TTS,mozilla/TTS,,audio,https://github.com/mozilla/TTS,https://github.com/mozilla/TTS,MPL-2.0,2018-01-23 14:22:06.000000,2021-04-13 23:42:55.000000,2021-02-12 10:36:31.000000,728,31.0,455.0,4559,2184.0,Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts).,55.0,21,True,2021-01-29 00:03:56.000000,0.0.9,1.0,,,,494.0,164.0,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n538,mace,XiaoMi/mace,,ml-frameworks,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12.000000,2021-04-16 02:05:42.000000,2021-04-16 01:07:37.000000,758,42.0,599.0,4344,3143.0,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,57.0,21,True,2021-03-18 10:07:32.000000,1.0.4,11.0,,,,1338.0,41.0,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n539,MMF,facebookresearch/mmf,,image,https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40.000000,2021-04-22 06:30:45.000000,2021-04-21 01:10:14.000000,637,113.0,368.0,4325,854.0,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,60.0,21,True,2019-08-26 19:04:21.000000,0.3.1,12.0,mmf,,['pytorch'],,940.0,7.0,7.0,https://pypi.org/project/mmf,2020-06-12 22:15:02.000000,0.0,940.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n540,vit-pytorch,lucidrains/vit-pytorch,,image,https://github.com/lucidrains/vit-pytorch,https://github.com/lucidrains/vit-pytorch,MIT,2020-10-03 22:47:24.000000,2021-04-21 01:36:54.000000,2021-04-21 01:36:54.000000,405,31.0,52.0,3744,,\"Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single..\",6.0,21,True,2021-04-20 17:12:47.000000,0.16.8,62.0,vit-pytorch,,['pytorch'],,3574.0,11.0,11.0,https://pypi.org/project/vit-pytorch,2021-04-20 17:12:47.000000,,3574.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n541,DeepMatcher,anhaidgroup/deepmatcher,,nlp,https://github.com/anhaidgroup/deepmatcher,https://github.com/anhaidgroup/deepmatcher,BSD-3-Clause,2017-12-01 19:01:11.000000,2020-09-27 17:25:56.000000,2020-04-20 02:34:24.000000,1322,47.0,19.0,3561,169.0,Python package for performing Entity and Text Matching using Deep Learning.,7.0,21,True,2019-12-30 19:49:33.000000,0.1.1,9.0,deepmatcher,,,,560.0,12.0,12.0,https://pypi.org/project/deepmatcher,2019-12-30 19:49:33.000000,,560.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n542,TRFL,deepmind/trfl,,reinforcement-learning,https://github.com/deepmind/trfl,https://github.com/deepmind/trfl,Apache-2.0,2018-08-08 14:44:11.000000,2020-11-06 04:44:44.000000,2020-04-20 13:05:56.000000,372,6.0,16.0,3063,116.0,TensorFlow Reinforcement Learning.,12.0,21,True,2020-04-20 14:11:57.000000,1.1.0,4.0,trfl,,['tensorflow'],,2116.0,48.0,46.0,https://pypi.org/project/trfl,2020-04-20 14:11:57.000000,2.0,2116.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n543,dpark,douban/dpark,,data-pipelines,https://github.com/douban/dpark,https://github.com/douban/dpark,BSD-3-Clause,2012-04-11 08:35:06.000000,2020-12-25 10:36:06.000000,2020-12-25 10:36:05.000000,554,,60.0,2658,1467.0,\"Python clone of Spark, a MapReduce alike framework in Python.\",35.0,21,True,2018-07-27 04:11:36.000000,0.5.0,19.0,dpark,,['spark'],,236.0,4.0,3.0,https://pypi.org/project/dpark,2018-07-27 04:11:36.000000,1.0,236.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n544,NLP Architect,IntelLabs/nlp-architect,,nlp,https://github.com/IntelLabs/nlp-architect,https://github.com/IntelLabs/nlp-architect,Apache-2.0,2018-05-17 21:00:13.000000,2021-04-13 08:07:05.000000,2021-04-13 08:02:56.000000,397,16.0,110.0,2646,953.0,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,36.0,21,True,2020-11-17 12:32:37.000000,0.5.5.1,13.0,nlp-architect,,,,472.0,7.0,7.0,https://pypi.org/project/nlp-architect,2020-04-12 11:34:38.000000,,472.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n545,finmarketpy,cuemacro/finmarketpy,,financial-data,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03.000000,2021-04-21 15:29:56.000000,2021-04-21 15:29:51.000000,431,22.0,3.0,2545,663.0,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,14.0,21,True,2021-01-25 15:04:53.000000,0.11.8,9.0,finmarketpy,,,39.0,215.0,3.0,3.0,https://pypi.org/project/finmarketpy,2021-01-25 15:01:25.000000,,215.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n546,Hummingbird,microsoft/hummingbird,,model-serialisation,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000000,2021-04-21 15:32:58.000000,2021-04-13 16:16:17.000000,174,50.0,154.0,2388,,Hummingbird compiles trained ML models into tensor computation for faster inference.,20.0,21,True,2021-04-13 00:20:31.000000,0.3.0,11.0,hummingbird-ml,,,99.0,3540.0,15.0,15.0,https://pypi.org/project/hummingbird-ml,2021-04-13 00:20:31.000000,,3531.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n547,Luminoth,tryolabs/luminoth,,image,https://github.com/tryolabs/luminoth,https://github.com/tryolabs/luminoth,BSD-3-Clause,2017-02-16 15:07:46.000000,2020-12-24 21:01:24.000000,2020-01-07 20:53:25.000000,405,50.0,127.0,2358,838.0,Deep Learning toolkit for Computer Vision.,15.0,21,False,2018-11-09 21:35:17.000000,0.2.3,10.0,luminoth,,['tensorflow'],11371.0,1294.0,31.0,29.0,https://pypi.org/project/luminoth,2018-11-09 21:35:17.000000,2.0,1024.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n548,DeepVariant,google/deepvariant,,medical-data,https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000000,2021-04-18 11:40:55.510000,2021-03-31 18:23:13.000000,543,3.0,399.0,2250,1503.0,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,19.0,21,True,2020-12-07 17:56:31.000000,1.1.0,15.0,,bioconda/deepvariant,['tensorflow'],3239.0,818.0,,,,,,,https://anaconda.org/bioconda/deepvariant,2021-04-18 11:40:55.510000,28791.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n549,Texar,asyml/texar,,nlp,https://github.com/asyml/texar,https://github.com/asyml/texar,Apache-2.0,2017-07-22 19:02:05.000000,2020-09-17 07:03:55.000000,2020-07-29 00:38:30.000000,352,33.0,126.0,2133,1719.0,\"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the..\",41.0,21,True,2019-11-19 04:11:18.000000,0.2.4,6.0,texar,,['tensorflow'],,131.0,15.0,13.0,https://pypi.org/project/texar,2019-11-19 04:11:18.000000,2.0,131.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n550,knockknock,huggingface/knockknock,,ml-experiments,https://github.com/huggingface/knockknock,https://github.com/huggingface/knockknock,MIT,2019-03-20 13:08:55.000000,2021-01-09 06:11:00.000000,2020-03-16 04:26:47.000000,162,12.0,21.0,2069,75.0,Knock Knock: Get notified when your training ends with only two additional lines of code.,18.0,21,False,2020-03-04 04:15:47.000000,0.1.8,10.0,knockknock,conda-forge/knockknock,,,4248.0,161.0,158.0,https://pypi.org/project/knockknock,2020-03-16 14:30:23.000000,3.0,3900.0,https://anaconda.org/conda-forge/knockknock,2020-03-17 01:52:16.317000,6267.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n551,PARL,PaddlePaddle/PARL,,reinforcement-learning,https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22.000000,2021-04-21 02:04:31.000000,2021-04-14 06:03:01.000000,463,47.0,168.0,1951,1.0,A high-performance distributed training framework for Reinforcement Learning.,23.0,21,True,2021-03-10 06:55:54.000000,1.4.3,18.0,parl,,['paddle'],,903.0,72.0,72.0,https://pypi.org/project/parl,2021-03-10 06:55:54.000000,,903.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n552,cleanlab,cgnorthcutt/cleanlab,,others,https://github.com/cgnorthcutt/cleanlab,https://github.com/cgnorthcutt/cleanlab,GPL-3.0,2018-05-11 01:55:21.000000,2021-04-20 01:45:34.000000,2021-04-20 01:45:30.000000,180,21.0,37.0,1839,784.0,The standard package for machine learning with noisy labels and finding mislabeled data. Works with most datasets and..,6.0,21,False,2021-04-18 19:52:49.000000,1.0,15.0,cleanlab,,,,4915.0,11.0,11.0,https://pypi.org/project/cleanlab,2020-02-17 07:33:06.000000,,4915.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n553,Sweetviz,fbdesignpro/sweetviz,,data-viz,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47.000000,2021-04-01 18:44:48.000000,2021-04-01 18:44:46.000000,163,20.0,55.0,1535,95.0,\"Visualize and compare datasets, target values and associations, with one line of code.\",6.0,21,True,2021-04-01 18:29:24.000000,2.1.0,28.0,sweetviz,,,,28447.0,0.0,,https://pypi.org/project/sweetviz,2021-04-01 18:29:24.000000,0.0,28447.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n554,auto_ml,ClimbsRocks/auto_ml,,hyperopt,https://github.com/ClimbsRocks/auto_ml,https://github.com/ClimbsRocks/auto_ml,MIT,2016-08-07 21:35:08.000000,2021-02-10 07:52:35.000000,2018-03-25 19:46:25.000000,295,185.0,216.0,1534,1149.0,[UNMAINTAINED] Automated machine learning for analytics & production.,13.0,21,False,2018-02-22 01:13:03.000000,2.9.10,78.0,auto_ml,,,33.0,5564.0,2.0,,https://pypi.org/project/auto_ml,2018-02-22 01:13:03.000000,2.0,5564.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n555,AmpliGraph,Accenture/AmpliGraph,,graph,https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05.000000,2020-08-25 17:19:24.000000,2020-08-25 17:00:58.000000,164,23.0,160.0,1471,895.0,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,14.0,21,True,2020-08-25 17:06:46.000000,1.3.2,11.0,ampligraph,,['tensorflow'],,1744.0,13.0,13.0,https://pypi.org/project/ampligraph,2020-08-25 16:59:58.000000,,1744.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n556,reformer-pytorch,lucidrains/reformer-pytorch,,pytorch-utils,https://github.com/lucidrains/reformer-pytorch,https://github.com/lucidrains/reformer-pytorch,MIT,2020-01-09 20:42:37.000000,2021-04-21 19:08:42.000000,2021-04-21 19:07:51.000000,191,7.0,98.0,1455,241.0,\"Reformer, the efficient Transformer, in Pytorch.\",10.0,21,True,2021-04-21 19:08:05.000000,1.4.0,135.0,reformer-pytorch,,['pytorch'],,2119.0,,,https://pypi.org/project/reformer-pytorch,2021-04-21 19:08:42.000000,,2119.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n557,TensorFlow Privacy,tensorflow/privacy,,privacy-ml,https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000000,2021-04-20 19:35:26.000000,2021-04-20 19:35:23.000000,291,55.0,78.0,1388,455.0,Library for training machine learning models with privacy for training data.,36.0,21,True,2020-09-03 01:13:47.000000,.0.5.1,10.0,tensorflow-privacy,,['tensorflow'],42.0,11690.0,2.0,,https://pypi.org/project/tensorflow-privacy,2021-04-13 19:14:58.000000,2.0,11688.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n558,Torchmeta,tristandeleu/pytorch-meta,,pytorch-utils,https://github.com/tristandeleu/pytorch-meta,https://github.com/tristandeleu/pytorch-meta,MIT,2018-12-04 23:36:45.000000,2021-04-13 10:29:29.000000,2021-03-19 14:47:19.000000,147,27.0,77.0,1298,342.0,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.,10.0,21,True,2021-03-19 14:49:53.000000,1.7.0,27.0,torchmeta,,['pytorch'],,1080.0,35.0,35.0,https://pypi.org/project/torchmeta,2021-03-19 14:49:53.000000,,1080.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n559,Classy Vision,facebookresearch/ClassyVision,,image,https://github.com/facebookresearch/ClassyVision,https://github.com/facebookresearch/ClassyVision,MIT,2019-09-13 22:54:44.000000,2021-04-21 19:35:03.000000,2021-04-21 15:47:03.000000,214,53.0,51.0,1242,361.0,An end-to-end PyTorch framework for image and video classification.,61.0,21,True,2020-11-20 21:02:29.000000,0.5.0,15.0,classy_vision,conda-forge/classy_vision,['pytorch'],,1088.0,0.0,,https://pypi.org/project/classy_vision,2020-11-20 21:02:29.000000,0.0,622.0,https://anaconda.org/conda-forge/classy_vision,2020-12-11 20:08:25.437000,6999.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n560,MLBox,AxeldeRomblay/MLBox,,hyperopt,https://github.com/AxeldeRomblay/MLBox,https://github.com/AxeldeRomblay/MLBox,BSD-1-Clause,2017-06-01 16:59:24.000000,2020-11-24 17:57:08.000000,2020-08-25 09:26:27.000000,251,12.0,73.0,1209,1121.0,MLBox is a powerful Automated Machine Learning python library.,9.0,21,False,2020-08-25 09:32:37.000000,0.8.5,21.0,mlbox,,,,3066.0,23.0,23.0,https://pypi.org/project/mlbox,2020-08-25 09:32:37.000000,,3066.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n561,datatable,h2oai/datatable,,data-containers,https://github.com/h2oai/datatable,https://github.com/h2oai/datatable,MPL-2.0,2017-03-03 02:32:59.000000,2021-04-22 01:08:06.000000,2021-04-08 19:13:01.000000,102,126.0,1133.0,1195,,A Python package for manipulating 2-dimensional tabular data structures.,28.0,21,True,2020-12-10 09:10:50.000000,0.11.1,15.0,datatable,,,982.0,28528.0,6.0,,https://pypi.org/project/datatable,2020-12-10 08:04:03.000000,6.0,28506.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n562,tensorrec,jfkirk/tensorrec,,recommender-systems,https://github.com/jfkirk/tensorrec,https://github.com/jfkirk/tensorrec,Apache-2.0,2017-02-28 18:51:11.000000,2021-03-18 20:46:02.000000,2020-02-04 21:10:25.000000,211,33.0,90.0,1141,334.0,A TensorFlow recommendation algorithm and framework in Python.,8.0,21,False,2019-04-02 00:53:47.000000,0.26.2,30.0,tensorrec,,['tensorflow'],,921.0,28.0,25.0,https://pypi.org/project/tensorrec,2019-04-02 00:53:47.000000,3.0,921.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n563,Higher,facebookresearch/higher,,pytorch-utils,https://github.com/facebookresearch/higher,https://github.com/facebookresearch/higher,Apache-2.0,2019-09-06 18:58:36.000000,2021-03-02 09:56:03.000000,2021-03-02 09:56:03.000000,79,32.0,48.0,1093,29.0,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,8.0,21,True,2020-07-14 12:20:32.000000,0.2.1,2.0,higher,,['pytorch'],,23866.0,46.0,46.0,https://pypi.org/project/higher,2020-07-14 12:20:32.000000,0.0,23866.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n564,TabNet,dreamquark-ai/tabnet,,pytorch-utils,https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000000,2021-04-20 02:37:22.000000,2021-03-01 11:50:35.000000,189,35.0,108.0,960,168.0,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,18.0,21,True,2021-02-02 08:05:11.000000,3.1.1,17.0,pytorch-tabnet,,['pytorch'],,11651.0,0.0,,https://pypi.org/project/pytorch-tabnet,2021-02-02 08:05:11.000000,0.0,11651.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n565,luminol,linkedin/luminol,,time-series-data,https://github.com/linkedin/luminol,https://github.com/linkedin/luminol,Apache-2.0,2015-11-18 23:16:33.000000,2020-12-27 09:54:35.000000,2018-01-09 07:46:55.000000,184,31.0,12.0,908,69.0,Anomaly Detection and Correlation library.,8.0,21,False,2016-01-20 01:01:44.000000,0.3.1,5.0,luminol,,,,43230.0,66.0,38.0,https://pypi.org/project/luminol,2017-12-11 06:04:15.000000,28.0,43230.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n566,attention-ocr,emedvedev/attention-ocr,,ocr,https://github.com/emedvedev/attention-ocr,https://github.com/emedvedev/attention-ocr,MIT,2017-07-21 18:35:19.000000,2021-02-23 04:33:25.000000,2020-10-31 19:40:19.000000,228,19.0,126.0,853,196.0,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,27.0,21,True,2020-10-12 06:56:40.000000,0.7.6,21.0,aocr,,['tensorflow'],,468.0,16.0,16.0,https://pypi.org/project/aocr,2019-04-19 05:28:27.000000,,468.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n567,TFEncrypted,tf-encrypted/tf-encrypted,,privacy-ml,https://github.com/tf-encrypted/tf-encrypted,https://github.com/tf-encrypted/tf-encrypted,Apache-2.0,2018-03-21 18:22:13.000000,2021-04-21 08:39:31.000000,2020-08-19 16:56:56.000000,140,167.0,231.0,846,595.0,A Framework for Encrypted Machine Learning in TensorFlow.,28.0,21,True,2019-09-27 20:00:01.000000,0.5.9,35.0,tf-encrypted,,['tensorflow'],,964.0,64.0,48.0,https://pypi.org/project/tf-encrypted,2019-10-21 18:05:53.000000,16.0,964.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n568,keras-ocr,faustomorales/keras-ocr,,ocr,https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50.000000,2021-03-31 15:57:11.000000,2021-03-31 14:26:39.000000,200,37.0,97.0,822,167.0,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,10.0,21,True,2020-11-26 17:19:39.000000,0.8.6,26.0,keras-ocr,,['tensorflow'],37221.0,9580.0,2.0,,https://pypi.org/project/keras-ocr,2020-11-26 17:19:39.000000,2.0,4263.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n569,iNNvestigate,albermax/innvestigate,,interpretability,https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20.000000,2020-12-30 15:22:24.000000,2020-10-16 15:26:56.000000,179,78.0,130.0,798,882.0,A toolbox to iNNvestigate neural networks' predictions!.,18.0,21,True,2020-11-14 11:35:59.000000,1.0.9,2.0,innvestigate,,['tensorflow'],,534.0,54.0,53.0,https://pypi.org/project/innvestigate,2020-11-14 11:35:59.000000,1.0,534.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n570,nude.py,hhatto/nude.py,,image,https://github.com/hhatto/nude.py,https://github.com/hhatto/nude.py,MIT,2013-06-09 06:55:55.000000,2020-11-23 13:49:32.000000,2020-11-23 13:49:02.000000,130,6.0,2.0,795,79.0,Nudity detection with Python.,12.0,21,True,2020-11-23 13:49:17.000000,0.5.1,10.0,nudepy,,,,1762.0,193.0,175.0,https://pypi.org/project/nudepy,2020-11-23 13:49:17.000000,18.0,1762.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n571,lightly,lightly-ai/lightly,,image,https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000000,2021-04-22 14:07:55.000000,2021-04-22 12:51:41.000000,44,35.0,105.0,763,428.0,A python library for self-supervised learning on images.,8.0,21,True,2021-04-22 14:07:55.000000,1.1.6,17.0,lightly,,['pytorch'],,3394.0,11.0,11.0,https://pypi.org/project/lightly,2021-04-15 09:08:31.000000,0.0,3394.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n572,rows,turicas/rows,,data-loading,https://github.com/turicas/rows,https://github.com/turicas/rows,LGPL-3.0,2014-05-07 05:43:11.000000,2021-03-11 16:51:43.000000,2021-03-11 16:51:28.000000,136,160.0,149.0,746,738.0,\"A common, beautiful interface to tabular data, no matter the format.\",30.0,21,False,2019-02-14 21:20:15.000000,0.4.1,9.0,rows,,,37.0,1810.0,171.0,119.0,https://pypi.org/project/rows,2019-02-14 21:12:03.000000,52.0,1810.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n573,Madmom,CPJKU/madmom,,audio,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06.000000,2020-04-14 03:42:18.000000,2019-12-19 14:46:37.000000,125,54.0,179.0,735,1722.0,Python audio and music signal processing library.,19.0,21,False,2018-11-14 14:57:41.000000,0.16.1,11.0,madmom,,,,2428.0,157.0,123.0,https://pypi.org/project/madmom,2018-11-14 14:56:22.000000,34.0,2428.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n574,mlens,flennerhag/mlens,,others,https://github.com/flennerhag/mlens,https://github.com/flennerhag/mlens,MIT,2017-01-10 20:53:47.000000,2020-02-25 14:32:48.000000,2020-02-25 14:31:53.000000,89,8.0,73.0,684,879.0,ML-Ensemble high performance ensemble learning.,7.0,21,False,2018-10-30 22:34:35.000000,0.2.3,14.0,mlens,,,,9367.0,126.0,123.0,https://pypi.org/project/mlens,2018-10-30 22:30:43.000000,3.0,9367.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n575,alibi-detect,SeldonIO/alibi-detect,,others,https://github.com/SeldonIO/alibi-detect,https://github.com/SeldonIO/alibi-detect,Apache-2.0,2019-10-07 13:29:13.000000,2021-04-22 14:35:31.000000,2021-04-21 11:19:20.000000,66,50.0,63.0,651,337.0,\"Algorithms for outlier and adversarial instance detection, concept drift and metrics.\",8.0,21,True,2021-04-12 15:10:40.000000,0.6.0,12.0,alibi-detect,,,,5736.0,23.0,22.0,https://pypi.org/project/alibi-detect,2021-04-12 15:05:37.000000,1.0,5736.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n576,Prince,MaxHalford/prince,,others,https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000000,2021-04-15 19:05:12.000000,2021-01-11 21:14:58.000000,120,29.0,64.0,625,179.0,\"Python factor analysis library (PCA, CA, MCA, MFA, FAMD).\",9.0,21,True,2020-10-06 11:26:47.000000,0.7.1,41.0,prince,,['sklearn'],,7756.0,120.0,114.0,https://pypi.org/project/prince,2020-10-06 11:26:47.000000,6.0,7756.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n577,pdpipe,pdpipe/pdpipe,,data-pipelines,https://github.com/pdpipe/pdpipe,https://github.com/pdpipe/pdpipe,MIT,2017-01-24 20:37:22.000000,2021-02-23 19:36:13.000000,2021-02-23 18:30:54.000000,27,6.0,15.0,603,342.0,Easy pipelines for pandas DataFrames.,8.0,21,True,2021-02-23 19:40:09.000000,0.0.51,49.0,pdpipe,,['pandas'],,2261.0,29.0,29.0,https://pypi.org/project/pdpipe,2020-11-09 09:32:37.000000,0.0,2261.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n578,Torchbearer,pytorchbearer/torchbearer,,ml-frameworks,https://github.com/pytorchbearer/torchbearer,https://github.com/pytorchbearer/torchbearer,MIT,2018-03-12 16:30:42.000000,2021-03-26 19:56:57.000000,2021-03-26 19:56:57.000000,64,8.0,237.0,593,430.0,torchbearer: A model fitting library for PyTorch.,13.0,21,True,2020-01-31 14:07:22.000000,0.5.3,24.0,torchbearer,,['pytorch'],,2518.0,47.0,41.0,https://pypi.org/project/torchbearer,2020-01-31 14:05:56.000000,6.0,2518.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n579,Sentinelsat,sentinelsat/sentinelsat,,geospatial-data,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26.000000,2021-04-17 07:46:21.000000,2021-04-17 07:07:41.000000,181,42.0,217.0,589,,Search and download Copernicus Sentinel satellite images.,36.0,21,False,2020-06-12 07:15:51.000000,0.14,36.0,sentinelsat,,,196.0,18752.0,232.0,188.0,https://pypi.org/project/sentinelsat,2020-06-12 07:08:37.000000,44.0,18749.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n580,pickleDB,patx/pickledb,,data-containers,https://github.com/patx/pickledb,https://github.com/patx/pickledb,BSD-3-Clause,2011-10-28 00:04:40.000000,2021-03-23 21:52:22.000000,2019-11-15 03:38:30.000000,100,22.0,39.0,562,105.0,pickleDB is an open source key-value store using Python's json module.,11.0,21,False,2019-01-14 18:48:25.000000,0.9.2,20.0,pickledb,,,,8014.0,675.0,563.0,https://pypi.org/project/pickledb,2019-01-14 18:48:25.000000,112.0,8014.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n581,Labml,lab-ml/labml,,ml-experiments,https://github.com/lab-ml/labml,https://github.com/lab-ml/labml,MIT,2018-11-16 09:34:48.000000,2021-04-17 09:40:28.000000,2021-04-17 09:39:04.000000,42,4.0,6.0,542,979.0,Monitor deep learning model training and hardware usage from your mobile phone.,6.0,21,True,2021-04-17 09:40:28.000000,0.4.117,94.0,labml,,,,2439.0,22.0,22.0,https://pypi.org/project/labml,2021-04-17 09:40:28.000000,0.0,2439.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n582,Caer,jasmcaus/caer,,image,https://github.com/jasmcaus/caer,https://github.com/jasmcaus/caer,MIT,2020-08-06 18:36:14.000000,2021-04-22 07:52:48.000000,2021-04-22 07:52:37.000000,62,5.0,9.0,473,4890.0,\"A lightweight Computer Vision library. Scale your models, not boilerplate.\",5.0,21,True,2021-01-28 14:06:10.000000,1.9.8,109.0,caer,,,14.0,20979.0,0.0,,https://pypi.org/project/caer,2021-01-28 14:06:10.000000,0.0,20978.0,,,,3.0,https://caer.rtfd.io,,,,,,,,,,,,,,,,,,,,,,,,,,\n583,explainerdashboard,oegedijk/explainerdashboard,,interpretability,https://github.com/oegedijk/explainerdashboard,https://github.com/oegedijk/explainerdashboard,MIT,2019-10-30 08:26:16.000000,2021-04-21 02:07:55.000000,2021-04-13 18:13:52.000000,52,7.0,81.0,455,608.0,Quickly build Explainable AI dashboards that show the inner workings of so-called blackbox machine learning models.,8.0,21,True,2021-04-13 18:15:41.000000,0.3.4,72.0,explainerdashboard,,,,6610.0,13.0,13.0,https://pypi.org/project/explainerdashboard,2021-03-22 19:12:21.000000,,6610.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n584,Neuraxle,Neuraxio/Neuraxle,,hyperopt,https://github.com/Neuraxio/Neuraxle,https://github.com/Neuraxio/Neuraxle,Apache-2.0,2019-03-26 21:01:54.000000,2021-04-16 02:18:30.000000,2021-03-30 14:59:37.000000,41,132.0,145.0,401,1411.0,A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right..,7.0,21,True,2021-02-25 16:05:06.000000,0.5.7,20.0,neuraxle,,,,478.0,18.0,18.0,https://pypi.org/project/neuraxle,2021-02-25 16:00:44.000000,0.0,478.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n585,pydlm,wwrechard/pydlm,,time-series-data,https://github.com/wwrechard/pydlm,https://github.com/wwrechard/pydlm,BSD-3-Clause,2016-06-29 07:58:53.000000,2021-02-24 14:21:28.000000,2019-10-22 07:18:40.000000,86,35.0,8.0,381,362.0,A python library for Bayesian time series modeling.,6.0,21,False,2016-11-06 01:43:35.000000,0.1.1,13.0,pydlm,,,,27832.0,20.0,18.0,https://pypi.org/project/pydlm,2018-12-19 10:27:54.000000,2.0,27832.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n586,optunity,claesenm/optunity,,hyperopt,https://github.com/claesenm/optunity,https://github.com/claesenm/optunity,BSD-3-Clause,2014-05-28 17:29:11.000000,2020-05-11 14:32:39.000000,2020-05-11 14:32:38.000000,73,46.0,48.0,368,782.0,optimization routines for hyperparameter tuning.,9.0,21,True,2015-09-30 05:02:00.000000,1.1.1,6.0,optunity,,,64.0,15852.0,84.0,60.0,https://pypi.org/project/optunity,2015-09-30 05:02:00.000000,24.0,15852.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n587,Pandas Summary,mouradmourafiq/pandas-summary,,data-containers,https://github.com/mouradmourafiq/pandas-summary,https://github.com/mouradmourafiq/pandas-summary,MIT,2016-03-25 21:59:32.000000,2019-08-24 21:10:25.000000,2019-08-24 21:10:24.000000,35,8.0,5.0,362,24.0,An extension to pandas dataframes describe function.,6.0,21,False,2016-08-30 07:54:59.000000,0.0.41,8.0,pandas-summary,,['pandas'],,32070.0,683.0,593.0,https://pypi.org/project/pandas-summary,2016-08-30 07:54:59.000000,90.0,32070.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n588,Submit it,facebookincubator/submitit,,distributed-ml,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09.000000,2021-04-12 14:18:52.000000,2021-04-01 13:33:42.000000,22,13.0,23.0,340,59.0,Python 3.6+ toolbox for submitting jobs to Slurm.,11.0,21,True,2021-04-08 08:01:58.000000,1.3.2,13.0,submitit,conda-forge/submitit,,,5736.0,117.0,117.0,https://pypi.org/project/submitit,2021-04-08 08:01:58.000000,0.0,5448.0,https://anaconda.org/conda-forge/submitit,2021-02-10 12:48:57.745000,2311.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n589,joypy,sbebo/joypy,,data-viz,https://github.com/sbebo/joypy,https://github.com/sbebo/joypy,MIT,2017-07-30 17:18:50.000000,2021-04-02 15:12:19.000000,2021-04-02 15:10:14.000000,32,5.0,36.0,327,110.0,Joyplots in Python with matplotlib & pandas.,5.0,21,True,2020-12-28 11:54:36.000000,0.2.4,16.0,joypy,conda-forge/joypy,,,4481.0,80.0,74.0,https://pypi.org/project/joypy,2020-12-28 11:54:36.000000,6.0,4116.0,https://anaconda.org/conda-forge/joypy,2020-12-28 14:07:53.760000,9131.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n590,scikit-rebate,EpistasisLab/scikit-rebate,,others,https://github.com/EpistasisLab/scikit-rebate,https://github.com/EpistasisLab/scikit-rebate,MIT,2016-09-19 13:36:17.000000,2021-03-20 17:11:52.000000,2021-02-15 17:10:59.000000,58,13.0,18.0,316,283.0,\"A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for..\",13.0,21,True,2017-04-12 16:12:01.000000,0.3.4,13.0,skrebate,,['sklearn'],,2000.0,189.0,127.0,https://pypi.org/project/skrebate,2021-03-20 17:11:52.000000,62.0,2000.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n591,ploomber,ploomber/ploomber,,data-pipelines,https://github.com/ploomber/ploomber,https://github.com/ploomber/ploomber,Apache-2.0,2020-01-20 20:13:06.000000,2021-04-18 00:46:19.000000,2021-04-18 00:45:10.000000,4,39.0,249.0,268,1729.0,\"Lean Data Science workflows: develop and test locally. Deploy to Kubernetes, Airflow, or any web framework.\",4.0,21,True,2021-03-07 17:10:50.000000,0.9.5,40.0,ploomber,,,,2892.0,13.0,13.0,https://pypi.org/project/ploomber,2021-04-18 00:46:19.000000,0.0,2892.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n592,SUOD,yzhao062/SUOD,,others,https://github.com/yzhao062/SUOD,https://github.com/yzhao062/SUOD,BSD-2-Clause,2019-11-20 00:23:54.000000,2021-01-19 14:42:08.000000,2021-01-19 14:42:01.000000,30,3.0,2.0,258,134.0,(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection).,1.0,21,True,2021-01-15 02:12:04.000000,0.0.6,7.0,suod,,,,22121.0,305.0,305.0,https://pypi.org/project/suod,2021-01-15 02:12:04.000000,,22121.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n593,quinn,MrPowers/quinn,,ml-experiments,https://github.com/MrPowers/quinn,https://github.com/MrPowers/quinn,Apache-2.0,2017-09-15 13:02:42.000000,2021-03-27 14:31:44.000000,2021-02-09 04:48:07.000000,28,17.0,9.0,241,110.0,pyspark methods to enhance developer productivity.,6.0,21,True,2021-02-06 15:21:04.000000,0.9.0,12.0,quinn,,['spark'],,201270.0,6.0,,https://pypi.org/project/quinn,2021-02-06 15:21:04.000000,6.0,201270.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n594,datatest,shawnbrown/datatest,,data-loading,https://github.com/shawnbrown/datatest,https://github.com/shawnbrown/datatest,Apache-2.0,2016-05-12 13:16:27.000000,2021-04-05 06:33:41.000000,2021-04-05 06:32:44.000000,12,9.0,42.0,237,2159.0,Tools for test driven data-wrangling and data validation.,6.0,21,True,2021-01-04 03:43:58.000000,0.11.1,17.0,datatest,,,,7264.0,33.0,31.0,https://pypi.org/project/datatest,2021-01-04 03:39:40.000000,2.0,7264.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n595,Auto ViML,AutoViML/Auto_ViML,,hyperopt,https://github.com/AutoViML/Auto_ViML,https://github.com/AutoViML/Auto_ViML,Apache-2.0,2019-06-10 13:09:15.000000,2021-04-15 00:54:35.000000,2021-04-14 01:35:22.000000,53,3.0,14.0,236,288.0,Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome...,6.0,21,True,2021-03-21 12:25:19.000000,0.1.680,130.0,autoviml,,,,4423.0,13.0,13.0,https://pypi.org/project/autoviml,2021-04-15 00:54:35.000000,0.0,4423.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n596,StaticFrame,InvestmentSystems/static-frame,,data-containers,https://github.com/InvestmentSystems/static-frame,https://github.com/InvestmentSystems/static-frame,MIT,2018-01-03 15:07:52.000000,2021-04-20 17:00:26.215000,2021-04-20 01:26:06.000000,22,26.0,270.0,221,2471.0,Immutable and grow-only Pandas-like DataFrames with a more explicit and consistent interface.,16.0,21,True,2021-04-18 19:09:59.000000,0.8.7,105.0,static-frame,conda-forge/static-frame,,,4556.0,6.0,6.0,https://pypi.org/project/static-frame,2021-03-31 03:27:29.000000,0.0,1494.0,https://anaconda.org/conda-forge/static-frame,2021-04-20 17:00:26.215000,79620.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n597,fletcher,xhochy/fletcher,,data-containers,https://github.com/xhochy/fletcher,https://github.com/xhochy/fletcher,MIT,2018-03-04 16:44:22.000000,2021-02-18 14:46:18.000000,2021-02-18 14:46:18.000000,33,34.0,40.0,213,520.0,Pandas ExtensionDType/Array backed by Apache Arrow.,24.0,21,True,2021-01-17 20:11:01.000000,0.7.2,16.0,fletcher,conda-forge/fletcher,['pandas'],12.0,1391.0,3.0,3.0,https://pypi.org/project/fletcher,2021-01-17 20:11:01.000000,0.0,707.0,https://anaconda.org/conda-forge/fletcher,2021-01-17 21:23:17.140000,22587.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n598,scikit-posthocs,maximtrp/scikit-posthocs,,probabilistics,https://github.com/maximtrp/scikit-posthocs,https://github.com/maximtrp/scikit-posthocs,MIT,2017-06-22 19:41:37.000000,2021-03-17 06:05:27.000000,2021-03-15 16:05:26.000000,21,4.0,36.0,196,453.0,Multiple Pairwise Comparisons (Post Hoc) Tests in Python.,8.0,21,True,2021-03-17 06:05:28.000000,0.6.7,21.0,scikit-posthocs,,['sklearn'],19.0,15316.0,6.0,,https://pypi.org/project/scikit-posthocs,2021-03-15 16:05:51.000000,6.0,15316.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n599,Qlib,microsoft/qlib,,financial-data,https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000000,2021-04-22 12:37:41.000000,2021-04-22 12:37:40.000000,767,112.0,96.0,4832,,\"Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research,..\",39.0,20,True,2021-02-02 09:29:47.000000,0.6.2,16.0,pyqlib,,['pytorch'],229.0,4906.0,1.0,1.0,https://pypi.org/project/pyqlib,2021-02-02 09:29:47.000000,,4874.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n600,MindsDB,mindsdb/mindsdb,,ml-frameworks,https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,GPL-3.0,2018-08-02 17:56:45.000000,2021-04-22 12:30:27.000000,2021-04-20 16:03:09.000000,435,48.0,520.0,3682,,Predictive AI layer for existing databases.,56.0,20,False,2021-04-09 15:58:03.000000,2.26.0,43.0,mindsdb,,['pytorch'],,4890.0,6.0,,https://pypi.org/project/mindsdb,2019-03-19 05:07:23.000000,6.0,4890.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n601,DALI,NVIDIA/DALI,,gpu-utilities,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000000,2021-04-22 15:02:23.000000,2021-04-22 12:44:31.000000,383,171.0,784.0,3238,1818.0,A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to..,57.0,20,True,2021-04-15 13:43:06.000000,1.1.0,39.0,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n602,FATE,FederatedAI/FATE,,privacy-ml,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000000,2021-04-22 11:24:16.000000,2021-04-16 05:08:54.000000,868,292.0,543.0,2978,7582.0,An Industrial Grade Federated Learning Framework.,56.0,20,True,2021-03-31 14:56:10.000000,1.6.0,26.0,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n603,AdaBound,Luolc/AdaBound,,pytorch-utils,https://github.com/Luolc/AdaBound,https://github.com/Luolc/AdaBound,Apache-2.0,2019-02-15 18:05:20.000000,2019-03-06 17:01:52.000000,2019-03-06 17:01:45.000000,327,16.0,7.0,2843,27.0,An optimizer that trains as fast as Adam and as good as SGD.,2.0,20,False,2019-03-06 16:44:42.000000,0.0.5,4.0,adabound,,['pytorch'],,1354.0,119.0,107.0,https://pypi.org/project/adabound,2019-02-26 04:23:45.000000,12.0,1354.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n604,NeMo,NVIDIA/NeMo,,nlp,https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000000,2021-04-22 06:36:28.000000,2021-04-22 02:22:24.000000,450,196.0,314.0,2601,,NeMo: a toolkit for conversational AI.,88.0,20,True,2020-07-10 00:01:18.000000,0.11.0,36.0,nemo-toolkit,,['pytorch'],74.0,6882.0,4.0,,https://pypi.org/project/nemo-toolkit,2020-12-11 21:33:53.000000,4.0,6879.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n605,tf-quant-finance,google/tf-quant-finance,,financial-data,https://github.com/google/tf-quant-finance,https://github.com/google/tf-quant-finance,Apache-2.0,2019-07-24 16:09:50.000000,2021-04-21 20:42:06.000000,2021-04-21 20:42:00.000000,332,16.0,11.0,2581,683.0,High-performance TensorFlow library for quantitative finance.,30.0,20,True,,,22.0,tf-quant-finance,,['tensorflow'],,358.0,4.0,4.0,https://pypi.org/project/tf-quant-finance,2021-04-13 13:30:21.000000,0.0,358.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n606,image-match,EdjoLabs/image-match,,image,https://github.com/EdjoLabs/image-match,https://github.com/EdjoLabs/image-match,Apache-2.0,2016-03-08 18:16:45.000000,2021-01-04 18:36:01.000000,2021-01-04 18:35:59.000000,371,54.0,48.0,2551,404.0,Quickly search over billions of images.,17.0,20,True,2017-02-13 14:54:48.000000,1.1.2,10.0,image_match,,,,1699.0,6.0,,https://pypi.org/project/image_match,2017-02-13 14:54:48.000000,6.0,1699.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n607,PaddleDetection,PaddlePaddle/PaddleDetection,,image,https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000000,2021-04-22 12:38:15.000000,2021-04-22 03:44:31.000000,712,318.0,1140.0,2496,746.0,Object detection and instance segmentation toolkit based on PaddlePaddle.,53.0,20,True,2021-04-19 15:10:54.000000,2.0.0,2.0,,,['paddle'],,,5.0,5.0,,,,,,,,3.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,\n608,DeepWalk,phanein/deepwalk,,graph,https://github.com/phanein/deepwalk,https://github.com/phanein/deepwalk,GPL-3.0,2014-08-23 03:38:20.000000,2020-04-02 01:05:36.000000,2020-04-02 01:05:35.000000,758,29.0,80.0,2223,46.0,DeepWalk - Deep Learning for Graphs.,10.0,20,False,2018-04-29 21:05:18.000000,1.0.3,4.0,deepwalk,,,,2596.0,43.0,36.0,https://pypi.org/project/deepwalk,2018-04-29 21:05:18.000000,7.0,2596.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n609,Texthero,jbesomi/texthero,,nlp,https://github.com/jbesomi/texthero,https://github.com/jbesomi/texthero,MIT,2020-04-06 15:16:05.000000,2021-04-08 07:07:32.000000,2021-04-07 16:52:32.000000,188,73.0,51.0,2161,268.0,\"Text preprocessing, representation and visualization from zero to hero.\",18.0,20,True,2020-07-06 20:32:28.000000,1.0.9,9.0,texthero,,,65.0,5475.0,0.0,,https://pypi.org/project/texthero,2020-07-06 20:29:25.000000,0.0,5470.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n610,HiPlot,facebookresearch/hiplot,,data-viz,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41.000000,2021-04-20 08:39:18.000000,2021-04-20 08:29:48.000000,93,10.0,53.0,2080,129.0,HiPlot makes understanding high dimensional data easy.,6.0,20,True,2021-03-24 11:12:36.000000,0.1.24,50.0,hiplot,conda-forge/hiplot,,,11570.0,2.0,2.0,https://pypi.org/project/hiplot,2021-04-20 08:39:18.000000,0.0,7818.0,https://anaconda.org/conda-forge/hiplot,2021-03-24 13:41:04.005000,52541.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n611,Coach,IntelLabs/coach,,reinforcement-learning,https://github.com/IntelLabs/coach,https://github.com/IntelLabs/coach,Apache-2.0,2017-10-01 19:27:43.000000,2021-04-21 21:03:39.000000,2021-02-09 13:54:44.000000,381,80.0,183.0,1963,513.0,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,34.0,20,True,2019-10-10 14:17:10.000000,1.0.1,13.0,rl_coach,,,,247.0,2.0,,https://pypi.org/project/rl_coach,2019-10-10 14:17:10.000000,2.0,247.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n612,hiddenlayer,waleedka/hiddenlayer,,ml-experiments,https://github.com/waleedka/hiddenlayer,https://github.com/waleedka/hiddenlayer,MIT,2018-05-18 22:34:51.000000,2020-04-24 07:32:11.000000,2020-04-24 06:58:09.000000,200,44.0,33.0,1433,58.0,\"Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.\",6.0,20,True,2018-12-03 04:33:29.000000,0.2,3.0,hiddenlayer,,\"['pytorch', 'tensorflow', 'jupyter']\",,2933.0,74.0,66.0,https://pypi.org/project/hiddenlayer,2020-04-24 07:32:11.000000,8.0,2933.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n613,DELTA,Delta-ML/delta,,nlp,https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57.000000,2021-04-21 15:51:49.931135,2020-12-17 06:57:15.000000,289,9.0,69.0,1405,932.0,DELTA is a deep learning based natural language and speech processing platform.,41.0,20,True,2020-07-16 09:31:45.000000,0.3.3,4.0,delta-nlp,,['tensorflow'],,609.0,,,https://pypi.org/project/delta-nlp,2020-03-27 04:46:19.000000,,72.0,,,,3.0,,,zh794390558/delta,https://hub.docker.com/r/zh794390558/delta,2021-04-21 15:51:49.931135,,12364.0,,,,,,,,,,,,,,,,,,,,\n614,ThunderSVM,Xtra-Computing/thundersvm,,ml-frameworks,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04.000000,2021-02-10 05:12:44.000000,2021-02-10 05:12:44.000000,169,45.0,145.0,1294,902.0,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,33.0,20,True,2020-03-13 12:36:30.000000,0.3.12,9.0,thundersvm,,,2169.0,642.0,,,https://pypi.org/project/thundersvm,2020-03-13 12:36:30.000000,,602.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n615,NiftyNet,NifTK/NiftyNet,,medical-data,https://github.com/NifTK/NiftyNet,https://github.com/NifTK/NiftyNet,Apache-2.0,2017-08-30 07:55:43.000000,2020-04-21 19:54:52.000000,2020-04-21 19:54:51.000000,385,102.0,224.0,1282,2848.0,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,58.0,20,True,2019-10-10 10:59:33.000000,0.6.0,11.0,niftynet,,['tensorflow'],,289.0,1.0,,https://pypi.org/project/niftynet,2019-10-10 10:59:33.000000,1.0,289.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n616,DLTK,DLTK/DLTK,,medical-data,https://github.com/DLTK/DLTK,https://github.com/DLTK/DLTK,Apache-2.0,2017-05-02 15:40:36.000000,2021-01-15 01:31:30.000000,2019-01-21 14:01:28.000000,386,11.0,24.0,1255,379.0,Deep Learning Toolkit for Medical Image Analysis.,9.0,20,False,2018-02-26 17:43:57.000000,0.2.1,5.0,dltk,,['tensorflow'],,173.0,20.0,20.0,https://pypi.org/project/dltk,2018-02-26 17:43:57.000000,,173.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n617,Haiku,deepmind/dm-haiku,,ml-frameworks,https://github.com/deepmind/dm-haiku,https://github.com/deepmind/dm-haiku,Apache-2.0,2020-02-18 07:14:02.000000,2021-04-20 13:05:07.000000,2021-04-20 13:04:31.000000,73,20.0,62.0,1086,532.0,JAX-based neural network library.,41.0,20,True,2021-04-12 13:12:13.000000,0.0.4,6.0,,,,,,81.0,81.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n618,CausalNex,quantumblacklabs/causalnex,,interpretability,https://github.com/quantumblacklabs/causalnex,https://github.com/quantumblacklabs/causalnex,Apache-2.0,2019-12-12 15:26:09.000000,2021-04-13 12:00:47.000000,2021-04-13 11:01:10.000000,114,33.0,38.0,1081,106.0,A Python library that helps data scientists to infer causation rather than observing correlation.,18.0,20,True,2021-03-11 19:11:06.000000,0.9.2,14.0,causalnex,,\"['pytorch', 'sklearn']\",,6062.0,11.0,11.0,https://pypi.org/project/causalnex,2021-03-11 19:11:06.000000,,6062.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n619,TaskTiger,closeio/tasktiger,,data-pipelines,https://github.com/closeio/tasktiger,https://github.com/closeio/tasktiger,MIT,2015-05-14 00:26:32.000000,2021-04-21 06:15:46.000000,2021-04-21 06:07:06.000000,59,36.0,32.0,1064,268.0,Python task queue using Redis.,22.0,20,True,2021-04-21 06:15:46.000000,0.15,25.0,tasktiger,,,,953.0,38.0,20.0,https://pypi.org/project/tasktiger,2021-04-16 07:36:13.000000,18.0,953.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n620,Sockeye,awslabs/sockeye,,nlp,https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30.000000,2021-04-07 12:00:31.000000,2021-04-07 12:00:29.000000,295,20.0,228.0,1000,747.0,Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet.,52.0,20,True,2021-04-07 11:51:17.000000,2.3.14,63.0,sockeye,,['mxnet'],,1081.0,2.0,,https://pypi.org/project/sockeye,2021-04-07 11:51:17.000000,2.0,1081.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n621,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,,pytorch-utils,https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000000,2021-04-17 19:39:13.000000,2021-04-17 19:39:09.000000,75,2.0,16.0,984,675.0,PyTorch extensions for fast R&D prototyping and Kaggle farming.,5.0,20,True,2021-04-02 10:59:33.000000,0.4.3,21.0,pytorch_toolbelt,,['pytorch'],,8825.0,2.0,,https://pypi.org/project/pytorch_toolbelt,2021-04-02 10:59:33.000000,2.0,8825.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n622,pytorch-forecasting,jdb78/pytorch-forecasting,,time-series-data,https://github.com/jdb78/pytorch-forecasting,https://github.com/jdb78/pytorch-forecasting,MIT,2020-07-03 13:05:24.000000,2021-04-19 15:03:24.000000,2021-04-08 16:41:02.000000,112,37.0,151.0,933,805.0,Time series forecasting with PyTorch.,16.0,20,True,2021-03-07 14:35:09.000000,0.8.4,25.0,pytorch-forecasting,,,,10668.0,,,https://pypi.org/project/pytorch-forecasting,2021-03-07 14:35:09.000000,,10668.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n623,pyts,johannfaouzi/pyts,,time-series-data,https://github.com/johannfaouzi/pyts,https://github.com/johannfaouzi/pyts,BSD-3-Clause,2017-07-31 09:23:16.000000,2021-04-01 12:14:04.000000,2021-03-31 07:40:39.000000,100,26.0,19.0,923,,A Python package for time series classification.,9.0,20,True,2020-03-21 12:41:33.000000,0.11.0,17.0,pyts,conda-forge/pyts,,,21362.0,107.0,103.0,https://pypi.org/project/pyts,2020-03-21 12:36:40.000000,4.0,21009.0,https://anaconda.org/conda-forge/pyts,2020-03-21 14:08:24.734000,7072.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n624,gplearn,trevorstephens/gplearn,,others,https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14.000000,2020-02-15 08:12:38.000000,2020-02-15 08:12:17.000000,158,34.0,118.0,922,146.0,\"Genetic Programming in Python, with a scikit-learn inspired API.\",10.0,20,False,2019-06-01 02:04:52.000000,0.4.1,5.0,gplearn,,['sklearn'],,2168.0,165.0,151.0,https://pypi.org/project/gplearn,2019-06-01 02:04:52.000000,14.0,2168.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n625,geoplotlib,andrea-cuttone/geoplotlib,,geospatial-data,https://github.com/andrea-cuttone/geoplotlib,https://github.com/andrea-cuttone/geoplotlib,MIT,2015-02-24 13:13:07.000000,2020-04-10 20:00:31.000000,2019-05-06 07:06:50.000000,146,24.0,18.0,911,159.0,python toolbox for visualizing geographical data and making maps.,8.0,20,False,2016-07-27 14:55:01.000000,0.3.2,4.0,geoplotlib,,,,2030.0,105.0,94.0,https://pypi.org/project/geoplotlib,2016-07-27 14:55:01.000000,11.0,2030.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n626,Databolt Flow,d6t/d6tflow,,data-pipelines,https://github.com/d6t/d6tflow,https://github.com/d6t/d6tflow,MIT,2019-02-03 01:51:22.000000,2021-04-14 02:36:42.000000,2021-04-14 02:36:32.000000,67,8.0,12.0,909,218.0,Python library for building highly effective data science workflows.,12.0,20,True,2021-03-17 03:43:31.000000,0.2.3,20.0,d6tflow,,,,534.0,13.0,13.0,https://pypi.org/project/d6tflow,2021-03-17 03:43:31.000000,,534.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n627,RecBole,RUCAIBox/RecBole,,recommender-systems,https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000000,2021-04-21 20:49:07.000000,2021-04-20 02:35:11.000000,138,28.0,86.0,899,2976.0,\"A unified, comprehensive and efficient recommendation library.\",37.0,20,True,2021-04-06 09:53:37.000000,0.2.1,5.0,recbole,aibox/recbole,['pytorch'],,703.0,,,https://pypi.org/project/recbole,2021-03-22 14:22:38.000000,,638.0,https://anaconda.org/aibox/recbole,2021-03-22 14:53:52.593000,329.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n628,mrq,pricingassistant/mrq,,data-pipelines,https://github.com/pricingassistant/mrq,https://github.com/pricingassistant/mrq,MIT,2014-02-13 09:32:40.000000,2021-03-31 18:42:38.000000,2020-12-13 18:58:15.000000,113,59.0,119.0,839,709.0,Mr. Queue - A distributed worker task queue in Python using Redis & gevent.,37.0,20,True,2018-08-31 16:03:04.000000,0.9.10,70.0,mrq,,,,974.0,35.0,23.0,https://pypi.org/project/mrq,2018-08-31 16:03:04.000000,12.0,974.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n629,Darts,unit8co/darts,,time-series-data,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000000,2021-04-22 11:51:42.000000,2021-04-19 06:50:11.000000,109,19.0,65.0,823,339.0,A python library for easy manipulation and forecasting of time series.,25.0,20,True,2021-04-14 13:55:28.000000,0.7.0,11.0,u8darts,,,,4207.0,2.0,2.0,https://pypi.org/project/u8darts,2021-04-14 13:55:28.000000,0.0,4204.0,,,,3.0,,,unit8/darts,https://hub.docker.com/r/unit8/darts,2021-04-14 13:36:57.572146,,113.0,,,,,,,,,,,,,,,,,,,,\n630,Explainability 360,Trusted-AI/AIX360,,interpretability,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48.000000,2020-12-04 16:51:14.000000,2020-12-04 16:49:39.000000,172,26.0,19.0,822,305.0,Interpretability and explainability of data and machine learning models.,27.0,20,True,2020-10-28 09:32:21.000000,0.2.1,4.0,aix360,,,,1078.0,17.0,16.0,https://pypi.org/project/aix360,2020-10-28 09:18:17.000000,1.0,1078.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n631,DALEX,ModelOriented/DALEX,,interpretability,https://github.com/ModelOriented/DALEX,https://github.com/ModelOriented/DALEX,GPL-3.0,2018-02-18 03:24:12.000000,2021-04-18 13:17:29.000000,2021-04-18 13:17:25.000000,114,12.0,263.0,812,551.0,moDel Agnostic Language for Exploration and eXplanation.,18.0,20,False,2021-02-19 15:24:01.000000,1.0.1,19.0,dalex,,,,6691.0,11.0,11.0,https://pypi.org/project/dalex,2021-02-19 15:24:01.000000,0.0,6691.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n632,calamari,Calamari-OCR/calamari,,ocr,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,Apache-2.0,2018-03-20 15:22:29.000000,2021-04-22 11:35:26.000000,2021-03-27 13:13:47.000000,171,29.0,154.0,804,341.0,Line based ATR Engine based on OCRopy.,17.0,20,True,2021-03-20 20:48:12.000000,2.0.2,25.0,calamari_ocr,,,,1432.0,2.0,,https://pypi.org/project/calamari_ocr,2018-11-13 11:24:45.000000,2.0,1432.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n633,TF Recommenders,tensorflow/recommenders,,recommender-systems,https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01.000000,2021-03-26 11:42:43.000000,2021-03-26 11:42:37.000000,93,57.0,65.0,796,,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,20.0,20,True,2021-01-21 00:51:17.000000,0.4.0,8.0,tensorflow-recommenders,,['tensorflow'],,20964.0,19.0,19.0,https://pypi.org/project/tensorflow-recommenders,2021-01-21 00:51:17.000000,,20964.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n634,AstroML,astroML/astroML,,others,https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50.000000,2021-04-07 06:12:17.000000,2021-04-07 06:12:17.000000,254,48.0,84.0,740,,\"Machine learning, statistics, and data mining for astronomy and astrophysics.\",30.0,20,True,2019-10-02 06:32:58.000000,0.4.1,10.0,astroML,conda-forge/astroml,['sklearn'],,2090.0,29.0,,https://pypi.org/project/astroML,2020-03-23 23:20:49.000000,29.0,1569.0,https://anaconda.org/conda-forge/astroml,2020-02-16 04:18:54.678000,22966.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n635,YouTokenToMe,vkcom/youtokentome,,nlp,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28.000000,2021-01-28 23:05:01.000000,2021-01-28 19:04:09.000000,46,21.0,22.0,737,79.0,Unsupervised text tokenizer focused on computational efficiency.,6.0,20,True,2020-02-13 09:57:47.000000,1.0.6,14.0,youtokentome,,,,15845.0,121.0,109.0,https://pypi.org/project/youtokentome,2020-02-12 18:24:46.000000,12.0,15845.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n636,NGT,yahoojapan/NGT,,nn-search,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000000,2021-04-14 00:29:39.000000,2021-04-14 00:27:17.000000,73,7.0,74.0,697,129.0,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,11.0,20,True,2021-03-12 02:52:55.000000,1.13.5,49.0,ngt,,,,11182.0,6.0,,https://pypi.org/project/ngt,2020-09-23 06:52:45.000000,6.0,11182.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n637,NearPy,pixelogik/NearPy,,nn-search,https://github.com/pixelogik/NearPy,https://github.com/pixelogik/NearPy,MIT,2013-04-25 09:10:26.000000,2020-02-17 20:24:08.000000,2018-10-21 17:54:28.000000,136,23.0,38.0,672,159.0,\"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..\",18.0,20,False,2016-09-27 13:04:44.000000,1.0.0,8.0,NearPy,,,,2418.0,68.0,52.0,https://pypi.org/project/NearPy,2016-09-27 13:03:12.000000,16.0,2418.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n638,Saliency,PAIR-code/saliency,,tensorflow-utils,https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35.000000,2021-04-22 00:19:21.000000,2021-04-19 14:12:43.000000,152,14.0,10.0,656,70.0,\"Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).\",13.0,20,True,2021-04-14 13:01:39.000000,0.1.2,9.0,saliency,,['tensorflow'],,521.0,17.0,15.0,https://pypi.org/project/saliency,2021-04-14 13:01:39.000000,2.0,521.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n639,finetune,IndicoDataSolutions/finetune,,nlp,https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16.000000,2021-04-21 21:45:09.000000,2021-03-19 14:30:51.000000,68,20.0,115.0,637,1201.0,Scikit-learn style model finetuning for NLP.,19.0,20,True,2020-01-10 22:42:24.000000,0.8.6,37.0,finetune,,\"['tensorflow', 'sklearn']\",,531.0,11.0,9.0,https://pypi.org/project/finetune,2020-01-10 22:42:24.000000,2.0,531.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n640,bambi,bambinos/bambi,,probabilistics,https://github.com/bambinos/bambi,https://github.com/bambinos/bambi,MIT,2016-05-16 03:21:00.000000,2021-04-22 13:29:55.000000,2021-04-20 13:42:45.000000,52,30.0,138.0,602,548.0,BAyesian Model-Building Interface (Bambi) in Python.,16.0,20,True,2021-04-06 13:34:03.000000,0.4.1,12.0,bambi,,,,576.0,16.0,13.0,https://pypi.org/project/bambi,2021-04-06 13:34:03.000000,3.0,576.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n641,Objax,google/objax,,ml-frameworks,https://github.com/google/objax,https://github.com/google/objax,Apache-2.0,2020-08-20 06:20:40.000000,2021-04-21 22:04:17.000000,2021-04-21 22:04:16.000000,46,40.0,52.0,590,411.0,Objax is a machine learning framework that provides an Object Oriented layer for JAX.,20.0,20,True,2021-04-01 00:14:18.000000,1.4.0,7.0,objax,,['jax'],,452.0,12.0,12.0,https://pypi.org/project/objax,2021-04-01 00:02:37.000000,0.0,452.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n642,baikal,alegonz/baikal,,others,https://github.com/alegonz/baikal,https://github.com/alegonz/baikal,BSD-3-Clause,2019-01-21 12:59:02.000000,2021-04-18 08:09:10.000000,2021-04-11 07:50:00.000000,29,6.0,14.0,573,405.0,A graph-based functional API for building complex scikit-learn pipelines.,2.0,20,True,2020-11-15 13:40:18.000000,0.4.2,7.0,baikal,conda-forge/cython-blis,,,24902.0,3.0,3.0,https://pypi.org/project/baikal,2020-11-15 13:40:18.000000,0.0,341.0,https://anaconda.org/conda-forge/cython-blis,2021-01-31 09:13:47.685000,614036.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n643,lets-plot,JetBrains/lets-plot,,data-viz,https://github.com/JetBrains/lets-plot,https://github.com/JetBrains/lets-plot,MIT,2019-03-20 16:13:03.000000,2021-04-20 16:09:51.000000,2021-04-20 16:09:45.000000,17,65.0,91.0,540,1921.0,An open-source plotting library for statistical data.,15.0,20,True,2021-04-14 12:58:52.000000,2.0.2,32.0,lets-plot,,,51.0,6161.0,7.0,7.0,https://pypi.org/project/lets-plot,2021-04-14 12:58:52.000000,,6158.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n644,Feature Engine,solegalli/feature_engine,,others,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2018-12-31 01:47:18.000000,2021-04-22 08:52:02.000000,2021-04-21 10:29:09.000000,141,26.0,81.0,500,110.0,Feature engineering package with sklearn like functionality.,21.0,20,True,2021-01-23 12:03:16.000000,1.0.2,25.0,feature_engine,conda-forge/feature_engine,,,23184.0,2.0,,https://pypi.org/project/feature_engine,2021-01-23 12:03:16.000000,2.0,22862.0,https://anaconda.org/conda-forge/feature_engine,2021-01-25 12:36:37.909000,2580.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n645,What-If Tool,PAIR-code/what-if-tool,,interpretability,https://github.com/PAIR-code/what-if-tool,https://github.com/PAIR-code/what-if-tool,Apache-2.0,2018-09-07 20:26:10.000000,2021-03-31 09:17:26.000000,2021-03-17 12:46:20.000000,102,37.0,37.0,494,319.0,Source code/webpage/demos for the What-If Tool.,19.0,20,True,2021-01-19 14:40:37.214000,1.8.0,38.0,witwidget,,,,12793.0,0.0,,https://pypi.org/project/witwidget,2021-01-19 14:40:21.000000,0.0,9497.0,,,,3.0,,,,,,,,,wit-widget,https://www.npmjs.com/package/wit-widget,2021-01-19 14:40:37.214000,,3296.0,,,,,,,,,,,,,,\n646,pyhsmm,mattjj/pyhsmm,,probabilistics,https://github.com/mattjj/pyhsmm,https://github.com/mattjj/pyhsmm,MIT,2012-03-18 17:40:13.000000,2020-09-29 20:58:26.000000,2020-08-24 17:03:59.000000,151,34.0,60.0,486,1426.0,Bayesian inference in HSMMs and HMMs.,13.0,20,True,2017-05-10 17:14:37.000000,0.1.7,8.0,pyhsmm,,,,230.0,26.0,18.0,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37.000000,8.0,230.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n647,scikit-lego,koaning/scikit-lego,,sklearn-utils,https://github.com/koaning/scikit-lego,https://github.com/koaning/scikit-lego,MIT,2019-01-21 15:30:15.000000,2021-04-21 17:33:01.000000,2021-04-21 17:33:01.000000,71,22.0,192.0,478,,Extra blocks for scikit-learn pipelines.,45.0,20,True,2021-04-21 17:32:03.000000,0.6.6,32.0,scikit-lego,conda-forge/scikit-lego,['sklearn'],,3728.0,21.0,21.0,https://pypi.org/project/scikit-lego,2021-04-02 07:44:02.000000,0.0,3160.0,https://anaconda.org/conda-forge/scikit-lego,2020-11-02 09:40:04.581000,10230.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n648,Poutyne,GRAAL-Research/poutyne,,pytorch-utils,https://github.com/GRAAL-Research/poutyne,https://github.com/GRAAL-Research/poutyne,LGPL-3.0,2017-12-07 18:30:17.000000,2021-04-16 19:35:47.000000,2021-04-15 22:09:19.000000,50,7.0,37.0,465,547.0,A simplified framework and utilities for PyTorch.,16.0,20,False,2021-04-15 15:29:37.000000,1.4,21.0,poutyne,,['pytorch'],,1223.0,62.0,58.0,https://pypi.org/project/poutyne,2021-04-15 15:30:07.000000,4.0,1223.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n649,HpBandSter,automl/HpBandSter,,hyperopt,https://github.com/automl/HpBandSter,https://github.com/automl/HpBandSter,BSD-3-Clause,2017-12-17 20:28:20.000000,2021-01-31 10:05:37.000000,2019-03-26 09:26:28.000000,98,57.0,35.0,463,187.0,a distributed Hyperband implementation on Steroids.,11.0,20,False,2019-07-30 12:47:43.000000,1.0,8.0,hpbandster,,,,20360.0,150.0,134.0,https://pypi.org/project/hpbandster,2018-11-06 12:56:55.000000,16.0,20360.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n650,seglearn,dmbee/seglearn,,time-series-data,https://github.com/dmbee/seglearn,https://github.com/dmbee/seglearn,BSD-3-Clause,2018-03-05 20:53:59.000000,2021-03-13 16:18:30.000000,2021-03-12 17:12:50.000000,47,5.0,22.0,440,268.0,Python module for machine learning time series:.,13.0,20,True,2021-03-13 16:18:30.000000,1.2.3,22.0,seglearn,,,,2509.0,8.0,7.0,https://pypi.org/project/seglearn,2021-03-13 16:18:30.000000,1.0,2509.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n651,PyWaffle,gyli/PyWaffle,,data-viz,https://github.com/gyli/PyWaffle,https://github.com/gyli/PyWaffle,MIT,2017-11-14 20:03:47.000000,2020-07-26 23:22:17.000000,2020-07-26 23:22:13.000000,66,2.0,10.0,417,249.0,Make Waffle Charts in Python.,6.0,20,True,2020-07-26 19:16:45.000000,0.6.1,22.0,pywaffle,,,,1758.0,49.0,49.0,https://pypi.org/project/pywaffle,2020-07-26 19:16:45.000000,,1758.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n652,skope-rules,scikit-learn-contrib/skope-rules,,sklearn-utils,https://github.com/scikit-learn-contrib/skope-rules,https://github.com/scikit-learn-contrib/skope-rules,BSD-1-Clause,2018-02-18 13:42:47.000000,2020-12-11 14:42:41.000000,2020-10-23 14:31:57.000000,62,23.0,5.0,370,247.0,machine learning with logical rules in Python.,18.0,20,False,2020-12-11 09:37:02.000000,1.0.1,4.0,skope-rules,,['sklearn'],,22426.0,36.0,30.0,https://pypi.org/project/skope-rules,2020-01-25 12:01:37.000000,6.0,22426.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n653,MedPy,loli/medpy,,medical-data,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34.000000,2020-05-01 15:25:39.000000,2020-05-01 15:25:38.000000,107,10.0,66.0,336,324.0,Medical image processing in Python.,13.0,20,False,2019-02-14 17:12:59.000000,0.4.0,6.0,MedPy,,,,7638.0,287.0,257.0,https://pypi.org/project/MedPy,2019-02-14 17:12:59.000000,30.0,7638.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n654,BioPandas,rasbt/biopandas,,others,https://github.com/rasbt/biopandas,https://github.com/rasbt/biopandas,BSD-3-Clause,2015-11-21 00:00:14.000000,2021-04-07 03:17:51.000000,2021-04-07 03:17:51.000000,77,15.0,21.0,336,,Working with molecular structures in pandas DataFrames.,7.0,20,True,2021-03-03 00:55:13.000000,0.2.8,12.0,biopandas,conda-forge/biopandas,['pandas'],,2375.0,59.0,53.0,https://pypi.org/project/biopandas,2021-03-03 00:55:13.000000,6.0,979.0,https://anaconda.org/conda-forge/biopandas,2020-08-08 06:33:59.197000,72601.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n655,DESlib,scikit-learn-contrib/DESlib,,sklearn-utils,https://github.com/scikit-learn-contrib/DESlib,https://github.com/scikit-learn-contrib/DESlib,BSD-3-Clause,2017-12-08 22:49:49.000000,2021-04-09 04:41:52.000000,2021-04-09 04:41:45.000000,73,14.0,127.0,326,272.0,A Python library for dynamic classifier and ensemble selection.,13.0,20,True,2021-02-08 06:29:25.000000,0.3.5,4.0,deslib,,['sklearn'],,798.0,17.0,17.0,https://pypi.org/project/deslib,2021-02-08 06:29:25.000000,0.0,798.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n656,sklearn-evaluation,edublancas/sklearn-evaluation,,interpretability,https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2015-09-04 16:33:42.000000,2021-03-28 18:20:55.000000,2021-03-28 18:13:37.000000,27,9.0,28.0,298,516.0,\"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook..\",5.0,20,True,2021-03-28 18:21:46.000000,0.5.5,17.0,sklearn-evaluation,,['sklearn'],,615.0,29.0,27.0,https://pypi.org/project/sklearn-evaluation,2021-03-28 18:20:55.000000,2.0,615.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n657,textpipe,textpipe/textpipe,,nlp,https://github.com/textpipe/textpipe,https://github.com/textpipe/textpipe,MIT,2018-06-21 16:23:32.000000,2021-03-29 09:42:04.000000,2021-01-25 14:01:56.000000,20,21.0,25.0,288,370.0,Textpipe: clean and extract metadata from text.,27.0,20,True,2021-01-25 14:05:21.000000,0.12.2,39.0,textpipe,,,,2910.0,8.0,7.0,https://pypi.org/project/textpipe,2021-01-25 14:05:21.000000,1.0,2910.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n658,impyute,eltonlaw/impyute,,others,https://github.com/eltonlaw/impyute,https://github.com/eltonlaw/impyute,MIT,2017-01-21 09:16:27.000000,2020-06-12 21:08:40.000000,2019-10-05 20:39:08.000000,41,26.0,36.0,277,289.0,Data imputations library to preprocess datasets with missing data.,9.0,20,False,2019-04-29 02:31:32.000000,0.0.8,8.0,impyute,,,,3649.0,92.0,88.0,https://pypi.org/project/impyute,2019-04-29 02:31:32.000000,4.0,3649.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n659,FiftyOne,voxel51/fiftyone,,data-viz,https://github.com/voxel51/fiftyone,https://github.com/voxel51/fiftyone,Apache-2.0,2020-04-22 13:43:28.000000,2021-04-21 21:44:27.000000,2021-04-16 22:27:44.000000,24,133.0,252.0,255,5467.0,\"Visualize, create, and debug image and video datasets and model predictions.\",11.0,20,True,2021-04-05 21:31:34.000000,0.8.0,47.0,fiftyone,,\"['tensorflow', 'pytorch', 'jupyter']\",,1748.0,,,https://pypi.org/project/fiftyone,2021-04-06 21:11:44.000000,,1748.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n660,EarthPy,earthlab/earthpy,,geospatial-data,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000000,2021-04-21 03:19:33.000000,2021-04-06 22:04:33.000000,108,19.0,201.0,251,,A package built to support working with spatial data using open source python.,39.0,20,True,2020-06-18 23:58:08.000000,0.9.2,22.0,earthpy,conda-forge/earthpy,,,4508.0,93.0,87.0,https://pypi.org/project/earthpy,2020-06-18 23:58:08.000000,6.0,3214.0,https://anaconda.org/conda-forge/earthpy,2020-06-19 15:23:44.425000,31064.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n661,Brainiak,brainiak/brainiak,,medical-data,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27.000000,2021-04-21 14:33:53.000000,2021-02-19 18:46:29.000000,113,65.0,120.0,242,390.0,Brain Imaging Analysis Kit.,32.0,20,True,2019-08-27 23:52:29.000000,0.9.1,15.0,brainiak,,,,430.0,13.0,12.0,https://pypi.org/project/brainiak,2020-10-15 20:45:08.000000,1.0,422.0,,,,3.0,,,brainiak/brainiak,https://hub.docker.com/r/brainiak/brainiak,2020-10-15 21:11:03.379549,1.0,530.0,,,,,,,,,,,,,,,,,,,,\n662,ivis,beringresearch/ivis,,data-viz,https://github.com/beringresearch/ivis,https://github.com/beringresearch/ivis,Apache-2.0,2018-08-13 08:31:01.000000,2021-04-21 05:53:06.000000,2021-04-19 07:54:47.000000,23,2.0,42.0,226,530.0,Dimensionality reduction in very large datasets using Siamese Networks.,8.0,20,True,2021-04-15 19:29:20.000000,2.0.2,28.0,ivis,,['tensorflow'],,1084.0,15.0,15.0,https://pypi.org/project/ivis,2021-04-15 19:29:20.000000,0.0,1084.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n663,gokart,m3dev/gokart,,ml-experiments,https://github.com/m3dev/gokart,https://github.com/m3dev/gokart,MIT,2018-12-23 07:40:27.000000,2021-04-22 12:24:55.000000,2021-04-22 02:52:16.000000,30,9.0,32.0,170,332.0,A wrapper of the data pipeline library luigi.,24.0,20,True,2021-04-17 10:36:32.000000,0.3.29,52.0,gokart,,,,1352.0,2.0,,https://pypi.org/project/gokart,2020-02-25 06:01:19.000000,2.0,1352.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n664,Glow,projectglow/glow,,medical-data,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47.000000,2021-04-21 20:31:53.000000,2021-04-21 20:31:53.000000,44,25.0,57.0,166,318.0,An open-source toolkit for large-scale genomic analysis.,11.0,20,True,2021-02-09 17:45:43.000000,1.0.0,10.0,glow.py,,,,17451.0,,,https://pypi.org/project/glow.py,2021-02-08 22:11:48.000000,,17451.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n665,graph-nets,deepmind/graph_nets,,graph,https://github.com/deepmind/graph_nets,https://github.com/deepmind/graph_nets,Apache-2.0,2018-08-31 08:19:28.000000,2020-12-04 17:43:48.000000,2020-12-04 17:43:47.000000,732,7.0,108.0,4853,47.0,Build Graph Nets in Tensorflow.,10.0,19,True,2020-01-29 16:00:25.000000,1.1.0,7.0,graph-nets,,['tensorflow'],,1223.0,7.0,,https://pypi.org/project/graph-nets,2020-01-29 16:00:25.000000,7.0,1223.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n666,BytePS,bytedance/byteps,,distributed-ml,https://github.com/bytedance/byteps,https://github.com/bytedance/byteps,Apache-2.0,2019-06-25 07:00:13.000000,2021-04-21 01:41:01.000000,2021-04-21 01:41:01.000000,383,85.0,147.0,2783,417.0,A high performance and generic framework for distributed DNN training.,19.0,19,True,2020-08-27 15:42:13.000000,0.2.4,7.0,byteps,,,,274.0,,,https://pypi.org/project/byteps,2020-11-04 00:05:46.000000,,226.0,,,,3.0,,,bytepsimage/tensorflow,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,1073.0,,,,,,,,,,,,,,,,,,,,\n667,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,,graph,https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16.000000,2021-04-01 06:01:01.000000,2021-03-29 19:01:19.000000,370,41.0,104.0,2752,143.0,Generate embeddings from large-scale graph-structured data.,20.0,19,True,2019-10-14 16:45:11.000000,1.0.0,3.0,torchbiggraph,,['pytorch'],112.0,1088.0,4.0,,https://pypi.org/project/torchbiggraph,2019-05-01 21:31:13.000000,4.0,1084.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n668,StreamAlert,airbnb/streamalert,,others,https://github.com/airbnb/streamalert,https://github.com/airbnb/streamalert,Apache-2.0,2017-01-22 01:10:56.000000,2021-04-15 18:32:34.000000,2021-02-10 05:03:05.000000,291,88.0,249.0,2509,1893.0,\"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data..\",31.0,19,True,2020-10-05 21:50:56.000000,3.4.1,27.0,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n669,Apache Singa,apache/singa,,distributed-ml,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000000,2021-04-10 07:05:37.000000,2021-01-15 13:09:22.000000,607,40.0,35.0,2205,2265.0,a distributed deep learning platform.,70.0,19,True,2020-04-21 08:01:08.000000,3.0.0,14.0,,nusdbsystem/singa,,,7.0,1.0,1.0,,,,,https://anaconda.org/nusdbsystem/singa,2021-01-20 03:00:28.355000,266.0,3.0,,,apache/singa,https://hub.docker.com/r/apache/singa,2019-06-04 04:32:52.195956,2.0,165.0,,,,,,,,,,,,,,,,,,,,\n670,cuML,rapidsai/cuml,,gpu-utilities,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000000,2021-04-22 15:07:37.000000,2021-04-22 03:51:10.000000,326,629.0,1077.0,2113,,cuML - RAPIDS Machine Learning Library.,125.0,19,True,2021-04-21 19:48:21.000000,0.19.0,8.0,cuml,,,,1018.0,0.0,,https://pypi.org/project/cuml,2020-06-01 20:09:10.000000,0.0,1018.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n671,Kashgari,BrikerMan/Kashgari,,nlp,https://github.com/BrikerMan/Kashgari,https://github.com/BrikerMan/Kashgari,Apache-2.0,2019-01-19 01:53:28.000000,2021-03-21 02:20:20.000000,2021-03-21 02:20:20.000000,393,34.0,314.0,2089,,Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-..,19.0,19,True,2020-10-30 12:37:01.000000,2.0.1,23.0,kashgari-tf,,['tensorflow'],,309.0,30.0,28.0,https://pypi.org/project/kashgari-tf,2019-10-18 07:57:55.000000,2.0,309.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n672,pdftabextract,WZBSocialScienceCenter/pdftabextract,,ocr,https://github.com/WZBSocialScienceCenter/pdftabextract,https://github.com/WZBSocialScienceCenter/pdftabextract,Apache-2.0,2016-07-08 11:44:46.000000,2020-12-28 00:52:23.000000,2018-10-26 13:57:02.000000,332,3.0,18.0,1913,168.0,A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.,2.0,19,False,2018-01-09 08:00:24.000000,0.3.0,5.0,pdftabextract,,,,406.0,38.0,37.0,https://pypi.org/project/pdftabextract,2018-01-09 08:00:24.000000,1.0,406.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n673,Mara Pipelines,mara/mara-pipelines,,data-pipelines,https://github.com/mara/mara-pipelines,https://github.com/mara/mara-pipelines,MIT,2018-03-31 20:37:22.000000,2021-03-08 23:02:36.000000,2021-03-08 23:02:33.000000,80,11.0,12.0,1668,134.0,\"A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow.\",16.0,19,True,2021-01-23 22:34:03.000000,3.1.2,7.0,mara-pipelines,,,,191.0,7.0,7.0,https://pypi.org/project/mara-pipelines,2021-01-23 22:34:03.000000,,191.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n674,checklist,marcotcr/checklist,,interpretability,https://github.com/marcotcr/checklist,https://github.com/marcotcr/checklist,MIT,2020-03-09 17:18:49.000000,2021-04-21 20:15:57.000000,2021-03-30 06:59:43.000000,116,4.0,64.0,1329,224.0,Beyond Accuracy: Behavioral Testing of NLP models with CheckList.,10.0,19,True,2020-09-21 18:30:40.000000,0.0.10,9.0,checklist,,['jupyter'],,969.0,8.0,6.0,https://pypi.org/project/checklist,2020-09-21 18:30:40.000000,2.0,969.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n675,TensorNets,taehoonlee/tensornets,,tensorflow-utils,https://github.com/taehoonlee/tensornets,https://github.com/taehoonlee/tensornets,MIT,2017-09-19 05:19:01.000000,2021-01-02 06:28:10.000000,2021-01-02 06:26:24.000000,188,14.0,42.0,985,284.0,High level network definitions with pre-trained weights in TensorFlow.,6.0,19,True,2020-03-31 04:38:27.000000,0.4.6,12.0,tensornets,,['tensorflow'],,228.0,37.0,33.0,https://pypi.org/project/tensornets,2020-03-31 04:35:15.000000,4.0,228.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n676,Paddle Graph Learning,PaddlePaddle/PGL,,graph,https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28.000000,2021-04-16 08:11:09.000000,2021-04-15 02:28:16.000000,139,18.0,37.0,984,,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,16.0,19,True,2021-03-12 05:46:43.000000,2.1.1,9.0,pgl,,['paddle'],,1251.0,13.0,11.0,https://pypi.org/project/pgl,2021-03-12 05:52:49.000000,2.0,1251.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n677,Skater,oracle/Skater,,interpretability,https://github.com/oracle/Skater,https://github.com/oracle/Skater,UPL-1.0,2017-01-26 05:45:42.000000,2020-11-01 15:57:12.273000,2020-06-29 20:07:12.000000,163,69.0,97.0,973,1101.0,Python Library for Model Interpretation/Explanations.,34.0,19,False,2018-09-21 07:03:32.000000,1.1.2,23.0,skater,conda-forge/skater,,,3582.0,,,https://pypi.org/project/skater,2018-09-21 07:03:32.000000,,2767.0,https://anaconda.org/conda-forge/skater,2020-11-01 15:57:12.273000,37521.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n678,Fiber,uber/fiber,,distributed-ml,https://github.com/uber/fiber,https://github.com/uber/fiber,Apache-2.0,2020-01-07 18:16:24.000000,2021-03-24 19:18:22.000000,2021-03-15 07:00:08.000000,95,13.0,8.0,884,66.0,Distributed Computing for AI Made Simple.,5.0,19,True,2020-07-09 03:28:28.000000,0.2.1,6.0,fiber,,,,1921.0,27.0,26.0,https://pypi.org/project/fiber,2020-07-09 03:28:28.000000,1.0,1921.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n679,advertorch,BorealisAI/advertorch,,adversarial,https://github.com/BorealisAI/advertorch,https://github.com/BorealisAI/advertorch,GPL-3.0,2018-11-29 22:17:33.000000,2021-02-26 11:22:02.000000,2020-06-15 01:16:18.000000,134,15.0,28.0,847,270.0,A Toolbox for Adversarial Robustness Research.,16.0,19,False,2020-06-15 01:20:07.000000,0.2.3,10.0,advertorch,,['pytorch'],,1940.0,42.0,36.0,https://pypi.org/project/advertorch,2020-06-15 01:20:07.000000,6.0,1940.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n680,TensorFrames,databricks/tensorframes,,distributed-ml,https://github.com/databricks/tensorframes,https://github.com/databricks/tensorframes,Apache-2.0,2016-03-04 19:25:19.000000,2020-11-13 17:47:02.000000,2019-11-15 21:43:53.000000,157,51.0,43.0,767,221.0,[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark.,16.0,19,False,2018-11-16 20:50:02.000000,0.6.0,6.0,tensorframes,,\"['tensorflow', 'spark']\",,10702.0,1.0,,https://pypi.org/project/tensorframes,2018-05-16 14:20:28.000000,1.0,10702.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n681,tffm,geffy/tffm,,tensorflow-utils,https://github.com/geffy/tffm,https://github.com/geffy/tffm,MIT,2016-05-02 17:06:07.000000,2020-05-22 21:40:58.000000,2020-05-22 21:40:57.000000,175,17.0,20.0,764,106.0,TensorFlow implementation of an arbitrary order Factorization Machine.,10.0,19,True,2018-01-27 11:43:26.000000,1.0.1,2.0,tffm,,['tensorflow'],,2236.0,12.0,11.0,https://pypi.org/project/tffm,2018-01-27 11:43:26.000000,1.0,2236.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n682,Hivemind,learning-at-home/hivemind,,distributed-ml,https://github.com/learning-at-home/hivemind,https://github.com/learning-at-home/hivemind,MIT,2020-02-27 13:50:19.000000,2021-04-22 14:30:21.000000,2021-04-22 14:30:20.000000,41,35.0,33.0,677,337.0,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,16.0,19,True,2021-04-02 18:12:33.000000,0.9.6,8.0,hivemind,,,,250.0,3.0,2.0,https://pypi.org/project/hivemind,2021-04-05 13:20:34.000000,1.0,250.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n683,Test Tube,williamFalcon/test-tube,,hyperopt,https://github.com/williamFalcon/test-tube,https://github.com/williamFalcon/test-tube,MIT,2017-09-06 02:14:57.000000,2021-01-17 20:04:39.000000,2020-03-17 22:44:47.000000,61,25.0,21.0,676,642.0,Python library to easily log experiments and parallelize hyperparameter search for neural networks.,16.0,19,False,2019-12-01 01:19:36.000000,0.7.5,53.0,test_tube,,,8.0,16183.0,5.0,,https://pypi.org/project/test_tube,2018-12-12 22:45:59.000000,5.0,16183.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n684,matrixprofile-ts,target/matrixprofile-ts,,time-series-data,https://github.com/target/matrixprofile-ts,https://github.com/target/matrixprofile-ts,Apache-2.0,2018-09-10 19:03:34.000000,2020-04-25 18:38:20.000000,2020-04-25 18:37:42.000000,92,19.0,34.0,629,198.0,A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile.,15.0,19,True,2019-08-08 01:24:38.000000,0.0.9,9.0,matrixprofile-ts,,,,3348.0,15.0,15.0,https://pypi.org/project/matrixprofile-ts,2019-08-08 01:24:38.000000,,3348.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n685,vecstack,vecxoz/vecstack,,others,https://github.com/vecxoz/vecstack,https://github.com/vecxoz/vecstack,MIT,2016-11-08 13:23:21.000000,2020-09-14 08:31:07.000000,2019-10-30 09:27:48.000000,66,,36.0,591,189.0,Python package for stacking (machine learning technique).,1.0,19,False,2019-08-12 16:09:01.000000,0.4.0,6.0,vecstack,,,,2528.0,131.0,123.0,https://pypi.org/project/vecstack,2019-08-12 16:01:22.000000,8.0,2528.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n686,Performer Pytorch,lucidrains/performer-pytorch,,pytorch-utils,https://github.com/lucidrains/performer-pytorch,https://github.com/lucidrains/performer-pytorch,MIT,2020-10-03 03:41:36.000000,2021-04-21 06:30:05.000000,2021-04-21 06:29:48.000000,73,19.0,38.0,586,,\"An implementation of Performer, a linear attention-based transformer, in Pytorch.\",4.0,19,True,2021-04-21 06:30:05.000000,1.0.11,75.0,performer-pytorch,,['pytorch'],,3344.0,17.0,17.0,https://pypi.org/project/performer-pytorch,2021-04-21 05:45:21.000000,0.0,3344.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n687,PFRL,pfnet/pfrl,,reinforcement-learning,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50.000000,2021-04-21 13:43:41.000000,2021-04-14 04:37:13.000000,68,22.0,25.0,568,352.0,PFRL: a PyTorch-based deep reinforcement learning library.,12.0,19,True,2020-12-17 05:00:25.000000,0.2.1,4.0,pfrl,,,,1033.0,8.0,8.0,https://pypi.org/project/pfrl,2020-12-17 05:00:25.000000,,1033.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n688,iterative-stratification,trent-b/iterative-stratification,,sklearn-utils,https://github.com/trent-b/iterative-stratification,https://github.com/trent-b/iterative-stratification,BSD-3-Clause,2018-02-04 00:32:10.000000,2020-09-12 15:32:44.000000,2020-09-12 15:35:02.000000,49,2.0,11.0,552,47.0,scikit-learn cross validators for iterative stratification of multilabel data.,4.0,19,True,2018-08-12 18:28:50.000000,0.1.6,5.0,iterative-stratification,,['sklearn'],,7314.0,138.0,124.0,https://pypi.org/project/iterative-stratification,2018-08-12 18:28:50.000000,14.0,7314.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n689,robustness,MadryLab/robustness,,adversarial,https://github.com/MadryLab/robustness,https://github.com/MadryLab/robustness,MIT,2019-08-21 09:26:33.000000,2021-04-19 20:53:34.000000,2021-03-04 15:19:19.000000,94,6.0,51.0,523,139.0,\"A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.\",12.0,19,True,2020-12-01 06:11:12.000000,1.2.1.post2,10.0,robustness,,,,500.0,47.0,45.0,https://pypi.org/project/robustness,2020-12-01 06:21:33.000000,2.0,500.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n690,deeplift,kundajelab/deeplift,,interpretability,https://github.com/kundajelab/deeplift,https://github.com/kundajelab/deeplift,MIT,2016-06-01 02:18:06.000000,2020-11-11 19:56:24.000000,2020-11-11 19:56:23.000000,127,29.0,47.0,521,551.0,Public facing deeplift repo.,11.0,19,True,2018-07-13 21:11:52.000000,0.6.6,21.0,deeplift,,,,898.0,48.0,44.0,https://pypi.org/project/deeplift,2020-11-11 09:32:57.000000,4.0,898.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n691,N2,kakao/n2,,nn-search,https://github.com/kakao/n2,https://github.com/kakao/n2,Apache-2.0,2017-11-23 02:27:59.000000,2020-10-21 05:15:27.000000,2020-10-21 05:14:11.000000,52,17.0,22.0,460,242.0,TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets.,17.0,19,True,2020-10-16 03:43:47.000000,0.1.7,9.0,n2,,,,2420.0,18.0,14.0,https://pypi.org/project/n2,2020-10-16 03:10:01.000000,4.0,2420.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n692,tcav,tensorflow/tcav,,interpretability,https://github.com/tensorflow/tcav,https://github.com/tensorflow/tcav,Apache-2.0,2018-07-03 17:45:35.000000,2021-03-23 17:16:42.000000,2021-03-23 17:16:22.000000,105,4.0,45.0,448,160.0,Code for the TCAV ML interpretability project.,18.0,19,True,2021-02-23 16:17:42.000000,0.2.2,4.0,tcav,,['tensorflow'],,174.0,8.0,6.0,https://pypi.org/project/tcav,2021-02-23 16:17:42.000000,2.0,174.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n693,pivottablejs,nicolaskruchten/jupyter_pivottablejs,,data-viz,https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,MIT,2015-09-09 13:39:18.000000,2018-12-04 14:43:26.000000,2018-12-04 14:43:25.000000,58,16.0,37.0,432,32.0,\"Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js.\",3.0,19,False,2018-01-15 18:14:37.000000,0.9.0,10.0,pivottablejs,,['jupyter'],,7616.0,187.0,153.0,https://pypi.org/project/pivottablejs,2018-01-15 18:14:37.000000,34.0,7616.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n694,Orbit,uber/orbit,,probabilistics,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000000,2021-04-15 18:49:26.000000,2021-04-15 18:48:58.000000,29,19.0,180.0,394,619.0,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,10.0,19,True,2021-04-03 01:15:52.000000,1.0.13,12.0,orbit-ml,,,,396.0,4.0,4.0,https://pypi.org/project/orbit-ml,2021-04-03 01:15:52.000000,,396.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n695,PyKEEN,pykeen/pykeen,,graph,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000000,2021-04-22 13:01:31.000000,2021-04-21 15:07:17.000000,61,63.0,106.0,383,2346.0,A Python library for learning and evaluating knowledge graph embeddings.,18.0,19,True,2021-03-04 16:07:36.000000,1.4.0,35.0,pykeen,,,79.0,863.0,2.0,,https://pypi.org/project/pykeen,2021-02-15 14:13:30.000000,2.0,856.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n696,animatplot,t-makaro/animatplot,,data-viz,https://github.com/t-makaro/animatplot,https://github.com/t-makaro/animatplot,MIT,2017-04-03 00:54:04.000000,2021-04-07 10:46:25.000000,2020-10-05 06:14:18.000000,32,17.0,16.0,363,178.0,A python package for animating plots build on matplotlib.,7.0,19,True,2020-10-05 06:20:52.000000,0.4.2,10.0,animatplot,conda-forge/animatplot,,,918.0,16.0,14.0,https://pypi.org/project/animatplot,2020-10-05 06:20:52.000000,2.0,701.0,https://anaconda.org/conda-forge/animatplot,2020-10-06 02:02:00.460000,5650.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n697,AutoViz,AutoViML/AutoViz,,data-viz,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06.000000,2020-12-21 03:22:01.000000,2020-12-21 03:21:52.000000,58,3.0,20.0,331,97.0,\"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..\",10.0,19,True,2020-12-10 02:33:19.000000,0.0.81,26.0,autoviz,,,,3124.0,36.0,36.0,https://pypi.org/project/autoviz,2020-12-10 02:33:19.000000,,3124.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n698,MXBoard,awslabs/mxboard,,ml-experiments,https://github.com/awslabs/mxboard,https://github.com/awslabs/mxboard,Apache-2.0,2018-02-06 23:03:51.000000,2020-01-24 23:21:56.000000,2020-01-24 23:21:55.000000,46,16.0,15.0,331,42.0,Logging MXNet data for visualization in TensorBoard.,9.0,19,False,2018-05-22 20:25:51.000000,0.1.0,12.0,mxboard,,['mxnet'],,2949.0,112.0,100.0,https://pypi.org/project/mxboard,2018-05-22 20:25:51.000000,12.0,2949.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n699,Camphr,PKSHATechnology-Research/camphr,,nlp,https://github.com/PKSHATechnology-Research/camphr,https://github.com/PKSHATechnology-Research/camphr,Apache-2.0,2020-02-10 03:39:58.000000,2021-04-19 08:49:12.000000,2021-04-02 10:18:07.000000,17,12.0,21.0,327,1235.0,\"spaCy plugin for Transformers , Udify, ELmo, etc.\",7.0,19,True,2021-03-05 10:59:35.000000,0.8.8,45.0,camphr,,['spacy'],,1672.0,0.0,,https://pypi.org/project/camphr,2021-03-05 10:59:35.000000,0.0,1672.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n700,apricot,jmschrei/apricot,,others,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12.000000,2021-02-18 03:37:56.000000,2021-02-18 03:37:55.000000,29,3.0,14.0,311,167.0,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,2.0,19,True,2020-09-28 07:19:15.000000,0.6.0,13.0,apricot-select,,,8.0,1173.0,15.0,15.0,https://pypi.org/project/apricot-select,2020-09-28 07:19:15.000000,0.0,1173.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n701,rrcf,kLabUM/rrcf,,others,https://github.com/kLabUM/rrcf,https://github.com/kLabUM/rrcf,MIT,2018-10-20 05:39:05.000000,2021-01-13 23:05:23.000000,2020-06-10 01:07:39.000000,73,18.0,17.0,303,253.0,Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams.,4.0,19,True,2020-06-10 01:53:55.000000,0.4.3,7.0,rrcf,,,,3736.0,19.0,19.0,https://pypi.org/project/rrcf,2020-06-10 01:53:55.000000,0.0,3736.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n702,pandas-ml,pandas-ml/pandas-ml,,others,https://github.com/pandas-ml/pandas-ml,https://github.com/pandas-ml/pandas-ml,BSD-3-Clause,2015-02-21 03:14:04.000000,2020-08-14 12:29:33.000000,2019-03-05 01:36:55.000000,59,24.0,17.0,272,153.0,\"pandas, scikit-learn, xgboost and seaborn integration.\",4.0,19,False,2019-03-05 01:36:12.000000,0.6.1,9.0,pandas-ml,,\"['sklearn', 'pandas']\",5.0,6403.0,10.0,,https://pypi.org/project/pandas-ml,2019-03-05 01:35:23.000000,10.0,6403.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n703,sk-dist,Ibotta/sk-dist,,distributed-ml,https://github.com/Ibotta/sk-dist,https://github.com/Ibotta/sk-dist,Apache-2.0,2019-08-14 21:07:17.000000,2021-03-01 23:05:15.000000,2021-03-01 23:05:11.000000,44,7.0,9.0,262,47.0,Distributed scikit-learn meta-estimators in PySpark.,6.0,19,True,2020-05-14 22:20:14.000000,0.1.9,12.0,sk-dist,,\"['sklearn', 'spark']\",,10321.0,8.0,6.0,https://pypi.org/project/sk-dist,2020-05-14 22:20:14.000000,2.0,10321.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n704,pyfasttext,vrasneur/pyfasttext,,nlp,https://github.com/vrasneur/pyfasttext,https://github.com/vrasneur/pyfasttext,GPL-3.0,2017-06-30 18:44:42.000000,2018-12-08 15:32:09.000000,2018-12-08 15:02:12.000000,30,21.0,28.0,229,153.0,Yet another Python binding for fastText.,4.0,19,False,2018-12-08 15:32:09.000000,0.4.6,13.0,pyfasttext,,,324.0,3786.0,164.0,151.0,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09.000000,13.0,3779.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n705,Auto TS,AutoViML/Auto_TS,,time-series-data,https://github.com/AutoViML/Auto_TS,https://github.com/AutoViML/Auto_TS,Apache-2.0,2020-02-15 15:23:32.000000,2021-03-14 19:58:41.000000,2021-03-14 19:58:35.000000,40,10.0,31.0,218,234.0,\"Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of..\",6.0,19,True,2021-03-14 04:16:59.000000,0.0.36,15.0,auto-ts,,,,1168.0,,,https://pypi.org/project/auto-ts,2021-03-14 04:16:59.000000,,1168.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n706,pymap3d,geospace-code/pymap3d,,geospatial-data,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03.000000,2021-04-13 11:02:07.764000,2021-04-13 05:26:01.000000,60,2.0,24.0,184,,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,10.0,19,True,2021-04-13 05:29:45.000000,2.6.1,48.0,pymap3d,conda-forge/pymap3d,,,41663.0,6.0,,https://pypi.org/project/pymap3d,2021-03-21 04:53:39.000000,6.0,41011.0,https://anaconda.org/conda-forge/pymap3d,2021-04-13 11:02:07.764000,8486.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n707,Funsor,pyro-ppl/funsor,,probabilistics,https://github.com/pyro-ppl/funsor,https://github.com/pyro-ppl/funsor,Apache-2.0,2019-01-30 23:13:39.000000,2021-04-18 19:07:37.000000,2021-04-16 21:06:39.000000,15,70.0,67.0,170,532.0,Functional tensors for probabilistic programming.,9.0,19,True,2021-01-24 17:27:54.000000,0.4.0,6.0,funsor,,['pytorch'],,584.0,13.0,13.0,https://pypi.org/project/funsor,2021-01-24 17:26:50.000000,0.0,584.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n708,BatchFlow,analysiscenter/batchflow,,data-pipelines,https://github.com/analysiscenter/batchflow,https://github.com/analysiscenter/batchflow,Apache-2.0,2017-03-13 14:22:53.000000,2021-04-22 12:57:56.000000,2021-04-22 12:57:56.000000,36,46.0,64.0,157,4460.0,BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and..,29.0,19,True,2021-03-05 13:23:43.000000,0.5.0beta3,6.0,batchflow,,,,163.0,,,https://pypi.org/project/batchflow,2021-03-05 13:45:58.000000,,163.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n709,flupy,olirice/flupy,,data-pipelines,https://github.com/olirice/flupy,https://github.com/olirice/flupy,MIT,2018-01-06 16:46:04.000000,2021-03-09 13:15:35.000000,2021-03-09 13:15:26.000000,9,,7.0,155,177.0,Fluent data pipelines for python and your shell.,4.0,19,True,2021-01-06 12:37:15.000000,1.1.6,34.0,flupy,,,,12508.0,0.0,,https://pypi.org/project/flupy,2021-01-06 12:37:15.000000,0.0,12508.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n710,nvidia-ml-py3,nicolargo/nvidia-ml-py3,,gpu-utilities,https://github.com/nicolargo/nvidia-ml-py3,https://github.com/nicolargo/nvidia-ml-py3,BSD-3-Clause,2017-06-03 07:47:03.000000,2019-03-06 20:41:10.000000,2019-03-06 20:41:09.000000,14,2.0,,68,5.0,Python 3 Bindings for the NVIDIA Management Library.,2.0,19,False,2017-06-03 07:43:46.000000,7.352.0,1.0,nvidia-ml-py3,,,,679185.0,3279.0,3059.0,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46.000000,220.0,679185.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n711,Crypto Signals,CryptoSignal/crypto-signal,,financial-data,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24.000000,2021-04-02 19:11:17.000000,2020-09-03 12:26:48.000000,768,41.0,192.0,2927,563.0,\"Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 2,100 + stars, 580 + forks.\",25.0,18,True,,,,,,,,1022.0,,,,,,,,,,3.0,,,shadowreaver/crypto-signal,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133,8.0,43964.0,,,,,,,,,,,,,,,,,,,,\n712,LIT,PAIR-code/lit,,interpretability,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000000,2021-04-21 21:38:33.000000,2021-04-05 17:58:30.000000,249,48.0,42.0,2502,,The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and..,14.0,18,True,2021-04-05 19:14:45.000000,0.3,5.0,lit-nlp,,,,545.0,3.0,3.0,https://pypi.org/project/lit-nlp,2021-04-05 19:12:37.000000,,545.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n713,riko,nerevu/riko,,data-pipelines,https://github.com/nerevu/riko,https://github.com/nerevu/riko,MIT,2016-06-02 12:22:51.000000,2020-08-14 18:29:28.000000,2020-08-14 16:47:45.000000,72,22.0,8.0,1562,1257.0,A Python stream processing engine modeled after Yahoo! Pipes.,18.0,18,True,2020-08-14 18:29:28.000000,0.66.0,58.0,riko,,,,616.0,1.0,,https://pypi.org/project/riko,2020-08-14 18:29:28.000000,1.0,616.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n714,NeuroNER,Franck-Dernoncourt/NeuroNER,,nlp,https://github.com/Franck-Dernoncourt/NeuroNER,https://github.com/Franck-Dernoncourt/NeuroNER,MIT,2017-03-07 01:24:15.000000,2020-11-13 18:07:48.000000,2019-10-02 23:26:11.000000,440,80.0,67.0,1548,132.0,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,7.0,18,False,2019-10-02 23:30:15.000000,1.0.8,7.0,pyneuroner,,,,263.0,9.0,9.0,https://pypi.org/project/pyneuroner,2019-10-02 23:30:15.000000,,263.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n715,River,online-ml/river,,others,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000000,2021-04-21 13:52:17.000000,2021-04-19 20:00:53.000000,201,33.0,269.0,1546,3111.0,Online machine learning in Python.,63.0,18,True,,,,,,,,,9.0,9.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n716,Lambda Networks,lucidrains/lambda-networks,,pytorch-utils,https://github.com/lucidrains/lambda-networks,https://github.com/lucidrains/lambda-networks,MIT,2020-10-08 19:01:15.000000,2020-11-18 19:54:34.000000,2020-11-18 19:54:30.000000,152,12.0,15.0,1442,,\"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.\",3.0,18,True,2020-11-18 08:19:23.000000,0.4.0,11.0,lambda-networks,,['pytorch'],,1668.0,2.0,2.0,https://pypi.org/project/lambda-networks,2020-11-18 08:19:23.000000,,1668.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n717,Antialiased CNNs,adobe/antialiased-cnns,,pytorch-utils,https://github.com/adobe/antialiased-cnns,https://github.com/adobe/antialiased-cnns,CC BY-NC-SA 4.0,2019-05-14 20:51:25.000000,2021-03-01 18:01:57.000000,2020-10-22 19:40:07.000000,176,9.0,31.0,1367,238.0,pip install antialiased-cnns to improve stability and accuracy.,6.0,18,False,2020-10-23 22:45:52.000000,0.3,6.0,antialiased-cnns,,['pytorch'],,2264.0,,,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49.000000,,2264.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n718,Backtesting.py,kernc/backtesting.py,,financial-data,https://github.com/kernc/backtesting.py,https://github.com/kernc/backtesting.py,AGPL-3.0,2019-01-02 03:11:32.000000,2021-04-22 13:42:24.000000,2021-04-22 13:42:24.000000,285,23.0,187.0,1245,229.0,Backtest trading strategies in Python.,12.0,18,False,2017-07-22 02:00:06.000000,0.0.1,1.0,backtesting,,,,5868.0,,,https://pypi.org/project/backtesting,2017-07-22 02:00:06.000000,,5868.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n719,doc2text,jlsutherland/doc2text,,ocr,https://github.com/jlsutherland/doc2text,https://github.com/jlsutherland/doc2text,MIT,2016-08-28 19:30:02.000000,2020-12-01 22:56:27.000000,2020-12-01 22:56:26.000000,93,12.0,9.0,1235,62.0,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,5.0,18,True,2016-09-06 21:59:21.000000,0.2.4,5.0,doc2text,,,,533.0,35.0,35.0,https://pypi.org/project/doc2text,2016-09-06 21:59:21.000000,,533.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n720,sklearn-porter,nok/sklearn-porter,,model-serialisation,https://github.com/nok/sklearn-porter,https://github.com/nok/sklearn-porter,MIT,2016-06-22 22:21:34.000000,2021-02-28 20:44:14.000000,2019-12-18 13:31:50.000000,129,39.0,29.0,1031,699.0,\"Transpile trained scikit-learn estimators to C, Java, JavaScript and others.\",11.0,18,False,2019-12-18 13:39:19.000000,0.7.4,20.0,sklearn-porter,,['sklearn'],,1211.0,1.0,,https://pypi.org/project/sklearn-porter,2019-12-18 13:39:19.000000,1.0,1211.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n721,Norfair,tryolabs/norfair,,image,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000000,2021-04-08 03:05:28.000000,2021-03-16 21:10:22.000000,65,5.0,17.0,973,264.0,Lightweight Python library for adding real-time 2D object tracking to any detector.,8.0,18,True,2021-02-17 21:29:11.000000,0.2.0,10.0,norfair,,,,757.0,,,https://pypi.org/project/norfair,2021-02-17 21:29:11.000000,,757.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n722,Bounter,RaRe-Technologies/bounter,,data-containers,https://github.com/RaRe-Technologies/bounter,https://github.com/RaRe-Technologies/bounter,MIT,2017-07-18 07:24:15.000000,2020-08-17 06:37:51.000000,2020-08-16 11:55:16.000000,48,11.0,9.0,897,152.0,Efficient Counter that uses a limited (bounded) amount of memory regardless of data size.,8.0,18,True,2020-08-17 06:37:51.000000,1.1.1,7.0,bounter,,,,314.0,36.0,22.0,https://pypi.org/project/bounter,2020-08-17 06:37:51.000000,14.0,314.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n723,pytorch2keras,nerox8664/pytorch2keras,,model-serialisation,https://github.com/nerox8664/pytorch2keras,https://github.com/nerox8664/pytorch2keras,MIT,2017-11-16 20:21:43.000000,2020-05-14 10:03:56.000000,2020-05-14 10:03:04.000000,111,44.0,66.0,691,277.0,PyTorch to Keras model convertor.,11.0,18,True,2020-05-14 10:03:56.000000,0.2.4,23.0,pytorch2keras,,,,971.0,21.0,20.0,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56.000000,1.0,971.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n724,RLax,deepmind/rlax,,reinforcement-learning,https://github.com/deepmind/rlax,https://github.com/deepmind/rlax,Apache-2.0,2020-02-18 07:14:59.000000,2021-04-13 14:59:15.000000,2021-04-13 14:58:46.000000,47,3.0,4.0,588,109.0,A library of reinforcement learning building blocks in JAX.,11.0,18,True,2020-02-19 23:01:30.000000,0.1.0,3.0,rlax,,['jax'],,398.0,15.0,15.0,https://pypi.org/project/rlax,2020-02-19 23:01:30.000000,,398.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n725,pytorch_geometric_temporal,benedekrozemberczki/pytorch_geometric_temporal,,graph,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,MIT,2020-06-27 01:11:33.000000,2021-04-21 08:28:56.000000,2021-04-21 08:28:55.000000,75,2.0,25.0,587,1410.0,A Temporal Extension Library for PyTorch Geometric.,9.0,18,True,2021-04-08 21:48:11.000000,_00027,25.0,torch-geometric-temporal,,['pytorch'],,714.0,,,https://pypi.org/project/torch-geometric-temporal,2021-04-08 21:45:42.000000,,714.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n726,Dragonfly,dragonfly/dragonfly,,hyperopt,https://github.com/dragonfly/dragonfly,https://github.com/dragonfly/dragonfly,MIT,2018-04-20 22:19:50.000000,2020-07-26 17:44:31.000000,2020-07-03 18:01:17.000000,77,25.0,17.0,574,397.0,An open source python library for scalable Bayesian optimisation.,12.0,18,True,2020-07-03 18:05:12.000000,0.1.6,9.0,dragonfly-opt,,,,20441.0,2.0,,https://pypi.org/project/dragonfly-opt,2020-07-03 18:05:12.000000,2.0,20441.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n727,SKLL,EducationalTestingService/skll,,ml-experiments,https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,BSD-1-Clause,2013-08-02 14:31:46.000000,2021-04-13 00:50:57.000000,2021-04-13 00:50:54.000000,64,37.0,348.0,526,,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,35.0,18,False,2021-02-26 03:01:01.000000,2.5,64.0,skll,,['sklearn'],10.0,786.0,47.0,30.0,https://pypi.org/project/skll,2020-03-13 16:23:35.000000,17.0,786.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n728,DiCE,interpretml/DiCE,,interpretability,https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000000,2021-04-22 07:14:18.000000,2021-04-22 06:38:32.000000,71,14.0,24.0,520,367.0,Generate Diverse Counterfactual Explanations for any machine learning model.,10.0,18,True,2021-03-01 15:26:58.000000,0.5,3.0,dice-ml,,\"['tensorflow', 'pytorch']\",,1602.0,,,https://pypi.org/project/dice-ml,2021-03-01 15:44:45.000000,,1602.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n729,TF Compression,tensorflow/compression,,tensorflow-utils,https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19.000000,2021-04-13 21:40:09.000000,2021-04-13 21:19:52.000000,166,1.0,62.0,472,169.0,Data compression in TensorFlow.,10.0,18,True,2021-03-11 09:05:35.000000,2.1,10.0,tensorflow-compression,,['tensorflow'],,1042.0,1.0,,https://pypi.org/project/tensorflow-compression,2021-03-11 09:00:48.000000,1.0,1042.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n730,Vulkan Kompute,EthicalML/vulkan-kompute,,gpu-utilities,https://github.com/EthicalML/vulkan-kompute,https://github.com/EthicalML/vulkan-kompute,Apache-2.0,2020-07-29 05:23:33.000000,2021-04-19 10:25:10.000000,2021-04-17 06:38:57.000000,31,46.0,93.0,373,839.0,\"General purpose GPU compute framework for cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast,..\",11.0,18,True,2021-03-14 16:03:43.000000,0.7.0,11.0,kp,,,50.0,267.0,2.0,2.0,https://pypi.org/project/kp,2021-03-14 15:37:22.000000,,261.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n731,Baal,ElementAI/baal,,probabilistics,https://github.com/ElementAI/baal,https://github.com/ElementAI/baal,Apache-2.0,2019-09-30 20:16:26.000000,2021-04-22 12:41:09.000000,2021-04-22 12:41:09.000000,30,9.0,31.0,339,106.0,Using approximate bayesian posteriors in deep nets for active learning.,8.0,18,True,2021-03-16 13:48:22.000000,1.3.0,8.0,baal,,,,437.0,7.0,7.0,https://pypi.org/project/baal,2021-03-16 13:38:39.000000,,437.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n732,tick,X-DataInitiative/tick,,time-series-data,https://github.com/X-DataInitiative/tick,https://github.com/X-DataInitiative/tick,BSD-3-Clause,2016-12-01 10:59:08.000000,2020-08-11 12:36:43.000000,2020-06-15 12:01:36.000000,74,55.0,160.0,332,413.0,\"Module for statistical learning, with a particular emphasis on time-dependent modelling.\",16.0,18,True,2019-09-11 11:25:15.000000,0.6,23.0,tick,,,159.0,1510.0,31.0,30.0,https://pypi.org/project/tick,2020-05-24 22:01:17.000000,1.0,1507.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n733,Sherpa,sherpa-ai/sherpa,,hyperopt,https://github.com/sherpa-ai/sherpa,https://github.com/sherpa-ai/sherpa,GPL-3.0,2018-05-16 21:41:54.000000,2020-10-18 07:57:50.000000,2020-10-18 07:57:48.000000,44,12.0,41.0,293,823.0,\"Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.\",43.0,18,False,2020-07-31 05:29:09.000000,1.0.7,8.0,parameter-sherpa,,,,448.0,12.0,10.0,https://pypi.org/project/parameter-sherpa,2019-11-23 21:32:27.000000,2.0,448.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n734,scikit-tda,scikit-tda/scikit-tda,,sklearn-utils,https://github.com/scikit-tda/scikit-tda,https://github.com/scikit-tda/scikit-tda,MIT,2018-04-13 21:00:31.000000,2021-01-09 19:51:04.000000,2021-01-09 19:50:05.000000,32,11.0,4.0,278,56.0,Topological Data Analysis for Python.,2.0,18,True,2021-01-09 19:51:04.000000,0.1.0,3.0,scikit-tda,,['sklearn'],,4898.0,20.0,20.0,https://pypi.org/project/scikit-tda,2021-01-09 19:51:04.000000,,4898.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n735,recmetrics,statisticianinstilettos/recmetrics,,recommender-systems,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49.000000,2020-12-03 21:21:02.000000,2020-12-03 21:21:00.000000,61,3.0,7.0,256,233.0,A library of metrics for evaluating recommender systems.,12.0,18,True,2019-03-05 04:11:15.000000,0.0.12,14.0,recmetrics,,,,602.0,17.0,17.0,https://pypi.org/project/recmetrics,2019-03-05 04:11:15.000000,,602.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n736,somoclu,peterwittek/somoclu,,distributed-ml,https://github.com/peterwittek/somoclu,https://github.com/peterwittek/somoclu,MIT,2013-01-16 06:33:16.000000,2020-10-13 18:39:07.609000,2020-07-24 13:00:47.000000,56,26.0,104.0,226,590.0,\"Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters.\",17.0,18,True,2018-03-03 02:44:37.000000,1.7.5,17.0,somoclu,conda-forge/somoclu,,1460.0,2173.0,4.0,,https://pypi.org/project/somoclu,2020-04-25 05:33:32.000000,4.0,1118.0,https://anaconda.org/conda-forge/somoclu,2020-10-13 18:39:07.609000,45602.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n737,skift,shaypal5/skift,,nlp,https://github.com/shaypal5/skift,https://github.com/shaypal5/skift,MIT,2018-02-03 11:37:21.000000,2021-03-31 10:11:28.000000,2021-03-31 10:11:20.000000,22,2.0,8.0,214,129.0,scikit-learn wrappers for Python fastText.,7.0,18,True,2020-08-27 15:01:05.000000,0.0.19,15.0,skift,,['sklearn'],,2592.0,8.0,8.0,https://pypi.org/project/skift,2020-08-27 15:01:05.000000,,2592.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n738,imodels,csinva/imodels,,interpretability,https://github.com/csinva/imodels,https://github.com/csinva/imodels,MIT,2019-07-04 15:38:48.000000,2021-04-21 08:26:52.000000,2021-04-21 08:26:12.000000,19,1.0,9.0,205,295.0,\"Interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible).\",3.0,18,True,2021-03-11 18:51:58.000000,0.2.8,8.0,imodels,,,,428.0,7.0,7.0,https://pypi.org/project/imodels,2021-03-11 18:44:07.000000,,428.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n739,ExplainX.ai,explainX/explainx,,interpretability,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15.000000,2021-02-07 11:06:21.000000,2021-02-02 09:03:57.000000,32,10.0,17.0,201,184.0,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,4.0,18,True,2021-02-07 11:06:21.000000,2.407,56.0,explainx,,,1.0,1352.0,,,https://pypi.org/project/explainx,2021-02-04 16:44:24.000000,,1352.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n740,fairness-indicators,tensorflow/fairness-indicators,,interpretability,https://github.com/tensorflow/fairness-indicators,https://github.com/tensorflow/fairness-indicators,Apache-2.0,2019-09-30 22:56:45.000000,2021-04-22 00:37:30.000000,2021-04-09 17:48:57.000000,54,13.0,7.0,194,252.0,Tensorflow's Fairness Evaluation and Visualization Toolkit.,20.0,18,True,2021-04-08 23:26:49.000000,0.29.0,15.0,fairness-indicators,,\"['tensorflow', 'jupyter']\",,1089.0,,,https://pypi.org/project/fairness-indicators,2021-04-08 23:26:49.000000,,1089.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n741,Muda,bmcfee/muda,,audio,https://github.com/bmcfee/muda,https://github.com/bmcfee/muda,ISC,2014-11-07 21:21:22.000000,2020-09-01 19:21:10.000000,2020-07-20 20:00:17.000000,32,5.0,44.0,181,291.0,A library for augmenting annotated audio data.,6.0,18,True,2019-11-15 15:46:21.000000,0.4.1,11.0,muda,,,,323.0,10.0,9.0,https://pypi.org/project/muda,2019-11-15 15:46:21.000000,1.0,323.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n742,Larq Compute Engine,larq/compute-engine,,model-serialisation,https://github.com/larq/compute-engine,https://github.com/larq/compute-engine,Apache-2.0,2019-08-29 15:02:43.000000,2021-04-21 05:12:54.000000,2021-04-13 08:38:16.000000,22,23.0,92.0,143,468.0,Highly optimized inference engine for Binarized Neural Networks.,15.0,18,False,2021-01-30 03:07:11.000000,0.5.0,12.0,larq-compute-engine,,,205.0,3576.0,2.0,2.0,https://pypi.org/project/larq-compute-engine,2021-01-30 03:07:11.000000,,3562.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n743,DeepMind Lab,deepmind/lab,,reinforcement-learning,https://github.com/deepmind/lab,https://github.com/deepmind/lab,GPL-2.0,2016-11-30 13:41:26.000000,2021-04-16 19:55:45.000000,2021-03-04 17:39:30.000000,1310,39.0,155.0,6442,481.0,A customisable 3D platform for agent-based AI research.,7.0,17,False,2020-12-07 11:26:33.000000,release-2020-12-07,8.0,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n744,ReAgent,facebookresearch/ReAgent,,reinforcement-learning,https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000000,2021-04-22 07:26:53.000000,2021-04-22 06:35:49.000000,393,20.0,75.0,2867,1170.0,\"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).\",96.0,17,True,,,,,,['pytorch'],,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n745,Spotlight,maciejkula/spotlight,,recommender-systems,https://github.com/maciejkula/spotlight,https://github.com/maciejkula/spotlight,MIT,2017-06-25 18:52:19.000000,2020-11-15 08:21:28.000000,2020-02-09 21:03:48.000000,372,67.0,48.0,2471,299.0,Deep recommender models using PyTorch.,11.0,17,False,2019-09-08 10:19:53.000000,0.1.6,7.0,,maciejkula/spotlight,['pytorch'],,134.0,,,,,,,https://anaconda.org/maciejkula/spotlight,2018-05-27 18:32:12.235000,6174.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n746,spark-deep-learning,databricks/spark-deep-learning,,data-pipelines,https://github.com/databricks/spark-deep-learning,https://github.com/databricks/spark-deep-learning,Apache-2.0,2017-05-31 17:30:28.000000,2021-01-20 15:05:13.000000,2021-01-20 15:00:20.000000,444,73.0,27.0,1829,135.0,Deep Learning Pipelines for Apache Spark.,15.0,17,True,2020-01-08 19:50:31.000000,1.6.0,9.0,,,['spark'],,,17.0,17.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n747,BlazingSQL,BlazingDB/blazingsql,,gpu-utilities,https://github.com/BlazingDB/blazingsql,https://github.com/BlazingDB/blazingsql,Apache-2.0,2018-09-24 18:25:45.000000,2021-04-22 05:47:13.000000,2021-04-21 20:59:55.000000,135,277.0,384.0,1486,,\"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.\",42.0,17,True,2021-04-21 21:35:59.000000,0.19.0,17.0,,blazingsql/blazingsql-protocol,,,48.0,,,,,,,https://anaconda.org/blazingsql/blazingsql-protocol,2019-11-11 19:54:17.621000,917.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n748,Advisor,tobegit3hub/advisor,,hyperopt,https://github.com/tobegit3hub/advisor,https://github.com/tobegit3hub/advisor,Apache-2.0,2017-09-14 03:50:33.000000,2019-11-11 07:09:57.869705,2019-11-11 06:59:31.000000,249,20.0,13.0,1370,165.0,Open-source implementation of Google Vizier for hyper parameters tuning.,11.0,17,False,2018-10-18 02:54:09.000000,0.1.6,4.0,advisor,,,,131.0,,,https://pypi.org/project/advisor,2018-10-18 02:54:09.000000,,95.0,,,,3.0,,,tobegit3hub/advisor,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1582.0,,,,,,,,,,,,,,,,,,,,\n749,Botflow,kkyon/botflow,,data-pipelines,https://github.com/kkyon/botflow,https://github.com/kkyon/botflow,BSD-3-Clause,2018-08-20 03:13:31.000000,2020-12-31 09:03:22.000000,2019-05-23 14:40:50.000000,99,2.0,2.0,1166,192.0,\"Python Fast Dataflow programming framework for Data pipeline work( Web Crawler,Machine Learning,Quantitative..\",11.0,17,False,2018-09-14 14:38:32.000000,0.2.0,5.0,botflow,,,,166.0,1.0,1.0,https://pypi.org/project/botflow,2018-09-14 14:38:32.000000,,166.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n750,AdvBox,advboxes/AdvBox,,adversarial,https://github.com/advboxes/AdvBox,https://github.com/advboxes/AdvBox,Apache-2.0,2018-08-08 08:55:41.000000,2021-03-25 22:02:04.000000,2020-08-26 22:59:41.000000,231,8.0,28.0,1083,374.0,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,19.0,17,True,2018-12-05 02:48:50.000000,0.4.1,2.0,advbox,,,,94.0,,,https://pypi.org/project/advbox,2018-12-05 02:48:50.000000,,94.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n751,CrypTen,facebookresearch/CrypTen,,privacy-ml,https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000000,2021-04-21 23:57:31.000000,2021-04-20 17:33:57.000000,110,27.0,40.0,771,253.0,A framework for Privacy Preserving Machine Learning.,23.0,17,True,2020-04-21 13:59:37.000000,0.1,1.0,crypten,,['pytorch'],,247.0,6.0,6.0,https://pypi.org/project/crypten,2020-02-05 18:53:03.000000,,247.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n752,MedicalTorch,perone/medicaltorch,,medical-data,https://github.com/perone/medicaltorch,https://github.com/perone/medicaltorch,Apache-2.0,2018-02-27 02:50:07.000000,2021-04-16 18:50:54.000000,2021-04-16 18:50:54.000000,107,14.0,9.0,725,57.0,A medical imaging framework for Pytorch.,8.0,17,True,2018-11-24 00:33:11.000000,0.2,2.0,medicaltorch,,['pytorch'],,242.0,10.0,10.0,https://pypi.org/project/medicaltorch,2018-11-24 00:29:36.000000,,242.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n753,ADTK,arundo/adtk,,time-series-data,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22.000000,2020-04-29 19:54:40.000000,2020-04-17 02:27:44.000000,81,24.0,31.0,642,78.0,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,11.0,17,True,2020-04-17 02:18:00.000000,0.6.2,13.0,adtk,,,,53360.0,,,https://pypi.org/project/adtk,2020-04-17 02:18:00.000000,,53360.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n754,sklearn-deap,rsteca/sklearn-deap,,hyperopt,https://github.com/rsteca/sklearn-deap,https://github.com/rsteca/sklearn-deap,MIT,2015-10-28 22:52:34.000000,2019-12-03 13:29:06.000000,2019-12-03 13:29:04.000000,108,21.0,31.0,635,98.0,Use evolutionary algorithms instead of gridsearch in scikit-learn.,20.0,17,False,2019-07-15 09:24:09.000000,0.2.4,13.0,sklearn-deap,,['sklearn'],,889.0,27.0,25.0,https://pypi.org/project/sklearn-deap,2019-07-15 09:24:09.000000,2.0,889.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n755,SpeedTorch,Santosh-Gupta/SpeedTorch,,gpu-utilities,https://github.com/Santosh-Gupta/SpeedTorch,https://github.com/Santosh-Gupta/SpeedTorch,MIT,2019-09-07 18:57:52.000000,2020-02-21 23:13:29.000000,2020-02-21 23:13:28.000000,37,3.0,2.0,619,170.0,Library for faster pinned CPU - GPU transfer in Pytorch.,3.0,17,False,2020-01-06 05:27:17.000000,0.1.6,14.0,SpeedTorch,,['pytorch'],,191.0,5.0,3.0,https://pypi.org/project/SpeedTorch,2020-01-06 05:27:17.000000,2.0,191.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n756,XAI,EthicalML/xai,,interpretability,https://github.com/EthicalML/xai,https://github.com/EthicalML/xai,MIT,2019-01-11 20:00:09.000000,2019-10-05 10:34:58.000000,2019-10-05 10:34:50.000000,93,4.0,3.0,614,83.0,XAI - An eXplainability toolbox for machine learning.,2.0,17,False,2019-04-21 14:53:12.000000,0.0.5,5.0,xai,,,,2791.0,17.0,11.0,https://pypi.org/project/xai,2019-04-21 14:53:12.000000,6.0,2791.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n757,ThunderGBM,Xtra-Computing/thundergbm,,ml-frameworks,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08.000000,2021-04-01 02:08:51.000000,2021-01-05 04:22:15.000000,75,21.0,28.0,589,606.0,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,10.0,17,True,2020-05-01 23:16:25.000000,0.3.16,24.0,thundergbm,,,,167.0,,,https://pypi.org/project/thundergbm,2020-05-01 23:16:25.000000,,167.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n758,AlphaPy,ScottfreeLLC/AlphaPy,,hyperopt,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32.000000,2021-02-08 21:35:40.000000,2021-02-08 21:35:40.000000,125,9.0,29.0,581,409.0,\"Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost.\",3.0,17,True,2020-08-29 18:48:20.000000,2.5.0,25.0,alphapy,,,,624.0,2.0,2.0,https://pypi.org/project/alphapy,2020-08-29 18:44:15.000000,,624.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n759,Tensor Sensor,parrt/tensor-sensor,,pytorch-utils,https://github.com/parrt/tensor-sensor,https://github.com/parrt/tensor-sensor,MIT,2020-08-28 22:54:04.000000,2021-04-17 19:54:52.000000,2021-04-17 19:54:46.000000,26,5.0,12.0,545,157.0,The goal of this library is to generate more helpful exception messages for numpy/pytorch matrix algebra expressions.,2.0,17,True,2020-12-03 20:46:15.000000,0.1.1,34.0,tensor-sensor,,['pytorch'],,344.0,2.0,2.0,https://pypi.org/project/tensor-sensor,2020-12-03 20:45:09.000000,,344.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n760,Auto Tune Models,HDI-Project/ATM,,hyperopt,https://github.com/HDI-Project/ATM,https://github.com/HDI-Project/ATM,MIT,2016-10-14 18:03:00.000000,2020-02-21 17:44:07.000000,2020-02-21 17:40:58.000000,128,17.0,71.0,508,775.0,\"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).\",16.0,17,False,2019-07-30 09:28:26.000000,0.2.2,14.0,atm,,,,272.0,6.0,6.0,https://pypi.org/project/atm,2019-07-30 09:25:11.000000,,272.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n761,Sematch,gsi-upm/sematch,,graph,https://github.com/gsi-upm/sematch,https://github.com/gsi-upm/sematch,Apache-2.0,2012-11-30 11:11:53.000000,2020-11-05 21:20:52.000000,2019-03-27 03:17:24.000000,98,14.0,19.0,347,122.0,semantic similarity framework for knowledge graph.,5.0,17,False,2017-04-17 10:56:52.000000,1.0.4,5.0,sematch,,,,207.0,31.0,28.0,https://pypi.org/project/sematch,2017-04-17 10:56:52.000000,3.0,207.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n762,datmo,datmo/datmo,,ml-experiments,https://github.com/datmo/datmo,https://github.com/datmo/datmo,MIT,2017-11-03 05:46:43.000000,2019-11-29 00:48:45.000000,2019-11-29 00:48:44.000000,28,42.0,149.0,334,1051.0,Open source production model management tool for data scientists.,6.0,17,False,2018-12-07 06:16:42.000000,0.0.40,41.0,datmo,,,,596.0,5.0,5.0,https://pypi.org/project/datmo,2018-12-07 06:16:42.000000,,596.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n763,Case Recommender,caserec/CaseRecommender,,recommender-systems,https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39.000000,2020-05-26 22:44:05.000000,2020-05-26 22:44:05.000000,70,7.0,16.0,324,201.0,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems.,10.0,17,True,2019-08-20 13:48:43.000000,1.1.0,41.0,caserecommender,,['sklearn'],,806.0,9.0,9.0,https://pypi.org/project/caserecommender,2019-08-20 13:48:43.000000,,806.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n764,Pywick,achaiah/pywick,,pytorch-utils,https://github.com/achaiah/pywick,https://github.com/achaiah/pywick,MIT,2019-03-25 15:42:47.000000,2021-03-08 15:28:01.000000,2021-03-01 17:17:46.000000,35,3.0,9.0,322,118.0,High-level batteries-included neural network training library for Pytorch.,4.0,17,True,2020-01-20 22:14:21.000000,0.5.6,6.0,pywick,,['pytorch'],,322.0,3.0,3.0,https://pypi.org/project/pywick,2020-01-20 22:14:21.000000,,322.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n765,Headliner,as-ideas/headliner,,nlp,https://github.com/as-ideas/headliner,https://github.com/as-ideas/headliner,MIT,2019-09-30 11:33:28.000000,2021-03-26 07:19:57.000000,2020-02-14 09:03:27.000000,37,1.0,13.0,223,276.0,Easy training and deployment of seq2seq models.,2.0,17,False,2020-01-24 09:06:29.000000,1.0.2,30.0,headliner,,,,672.0,4.0,3.0,https://pypi.org/project/headliner,2020-01-24 09:06:29.000000,1.0,672.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n766,elegy,poets-ai/elegy,,ml-frameworks,https://github.com/poets-ai/elegy,https://github.com/poets-ai/elegy,Apache-2.0,2020-06-30 14:00:37.000000,2021-04-02 14:14:33.000000,2021-04-01 17:03:16.000000,11,21.0,36.0,202,299.0,Elegy is a framework-agnostic Trainer interface for the Jax ecosystem.,13.0,17,True,2021-03-10 18:59:02.000000,0.7.2,21.0,elegy,,\"['tensorflow', 'jax']\",,738.0,,,https://pypi.org/project/elegy,2021-03-01 22:47:33.000000,,738.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n767,model-card-toolkit,tensorflow/model-card-toolkit,,interpretability,https://github.com/tensorflow/model-card-toolkit,https://github.com/tensorflow/model-card-toolkit,Apache-2.0,2020-07-24 16:48:58.000000,2021-04-20 20:51:40.000000,2021-04-20 20:51:31.000000,27,12.0,2.0,185,117.0,a tool that leverages rich metadata and lineage information in MLMD to build a model card.,9.0,17,True,2021-02-05 20:56:01.000000,0.1.3,4.0,model-card-toolkit,,,,367.0,2.0,2.0,https://pypi.org/project/model-card-toolkit,2021-02-05 20:54:29.000000,,367.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n768,ipyexperiments,stas00/ipyexperiments,,gpu-utilities,https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40.000000,2021-03-28 18:24:12.000000,2021-03-28 18:23:45.000000,9,,4.0,132,196.0,jupyter/ipython experiment containers for GPU and general RAM re-use.,3.0,17,False,2021-03-28 03:39:09.000000,0.1.26,23.0,ipyexperiments,,['jupyter'],,580.0,6.0,4.0,https://pypi.org/project/ipyexperiments,2021-03-28 03:39:09.000000,2.0,580.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n769,celer,mathurinm/celer,,sklearn-utils,https://github.com/mathurinm/celer,https://github.com/mathurinm/celer,BSD-3-Clause,2018-02-20 19:37:31.000000,2021-04-16 13:53:18.000000,2021-04-16 13:43:48.000000,22,16.0,51.0,114,218.0,\"Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.\",9.0,17,False,2020-10-12 12:26:09.000000,0.5.1,10.0,celer,,['sklearn'],,201.0,4.0,4.0,https://pypi.org/project/celer,2020-12-09 13:19:10.000000,,201.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n770,dabl,amueller/dabl,,sklearn-utils,https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49.000000,2021-02-27 01:32:09.000000,2020-07-08 16:14:41.000000,7,1.0,,72,252.0,Data Analysis Baseline Library.,18.0,17,False,2021-02-27 01:25:17.000000,0.2.0,11.0,dabl,,['sklearn'],,2441.0,,,https://pypi.org/project/dabl,2021-02-27 01:25:17.000000,,2441.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n771,tinygrad,geohot/tinygrad,,pytorch-utils,https://github.com/geohot/tinygrad,https://github.com/geohot/tinygrad,MIT,2020-10-18 16:23:12.000000,2021-04-11 14:08:31.000000,2021-01-31 16:31:16.000000,471,17.0,63.0,4249,511.0,You like pytorch? You like micrograd? You love tinygrad!.,43.0,16,True,,,,,,['pytorch'],,,1.0,1.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n772,Euler,alibaba/euler,,graph,https://github.com/alibaba/euler,https://github.com/alibaba/euler,Apache-2.0,2019-01-10 06:32:32.000000,2021-04-19 11:30:28.000000,2020-07-29 05:53:01.000000,515,206.0,100.0,2543,8.0,A distributed graph deep learning framework.,5.0,16,True,2020-07-07 02:24:18.000000,2.0.0,2.0,euler-gl,,['tensorflow'],,35.0,,,https://pypi.org/project/euler-gl,2019-04-10 01:53:45.000000,,35.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n773,automl-gs,minimaxir/automl-gs,,hyperopt,https://github.com/minimaxir/automl-gs,https://github.com/minimaxir/automl-gs,MIT,2019-01-13 18:57:44.000000,2019-10-22 11:20:40.000000,2019-04-05 06:48:14.000000,164,26.0,6.0,1732,102.0,\"Provide an input CSV and a target field to predict, generate a model + code to run it.\",7.0,16,False,2019-04-05 06:51:04.000000,0.2.1,2.0,automl_gs,,,21.0,58.0,,,https://pypi.org/project/automl_gs,2019-04-05 06:47:54.000000,,58.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n774,Xcessiv,reiinakano/xcessiv,,hyperopt,https://github.com/reiinakano/xcessiv,https://github.com/reiinakano/xcessiv,Apache-2.0,2017-03-07 18:18:25.000000,2018-06-06 22:23:37.000000,2017-08-21 00:51:15.000000,109,22.0,13.0,1258,316.0,\"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.\",6.0,16,False,2017-08-21 00:53:25.000000,0.5.1,34.0,xcessiv,,,,94.0,2.0,1.0,https://pypi.org/project/xcessiv,2017-08-21 00:49:41.000000,1.0,94.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n775,zenml,maiot-io/zenml,,data-pipelines,https://github.com/maiot-io/zenml,https://github.com/maiot-io/zenml,Apache-2.0,2020-11-19 09:25:46.000000,2021-04-22 15:26:54.000000,2021-04-22 15:26:43.000000,53,16.0,24.0,1110,,ZenML : MLOps framework to create reproducible ML pipelines for production machine learning.,9.0,16,True,2021-03-30 14:17:35.000000,0.3.6,25.0,zenml,,,,490.0,1.0,1.0,https://pypi.org/project/zenml,2021-04-06 09:51:56.000000,,490.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n776,aim,aimhubio/aim,,ml-experiments,https://github.com/aimhubio/aim,https://github.com/aimhubio/aim,Apache-2.0,2019-05-31 18:25:07.000000,2021-04-20 17:22:36.000000,2021-04-20 17:22:36.000000,57,99.0,68.0,1053,,\"Aim a super-easy way to record, search and compare 1000s of ML training runs.\",10.0,16,True,2019-11-06 08:06:11.000000,3.1.0,48.0,aim,,,,3032.0,2.0,,https://pypi.org/project/aim,2021-04-10 15:12:54.000000,2.0,3032.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n777,torchsde,google-research/torchsde,,pytorch-utils,https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11.000000,2021-04-10 22:21:33.000000,2021-04-10 22:21:25.000000,63,5.0,31.0,704,149.0,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,4.0,16,True,2021-01-05 18:31:38.000000,0.2.4,4.0,,,['pytorch'],,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n778,cuGraph,rapidsai/cugraph,,gpu-utilities,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000000,2021-04-21 19:49:10.000000,2021-04-20 18:47:07.000000,145,100.0,534.0,696,,cuGraph - RAPIDS Graph Analytics Library.,61.0,16,True,2021-04-21 19:49:25.000000,0.19.0,7.0,cugraph,,,,133.0,0.0,,https://pypi.org/project/cugraph,2020-06-01 20:09:06.000000,0.0,133.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n779,HyperparameterHunter,HunterMcGushion/hyperparameter_hunter,,hyperopt,https://github.com/HunterMcGushion/hyperparameter_hunter,https://github.com/HunterMcGushion/hyperparameter_hunter,MIT,2018-06-01 23:17:00.000000,2021-01-20 03:52:41.000000,2021-01-20 03:52:40.000000,83,37.0,84.0,646,1096.0,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries.,4.0,16,True,2019-08-06 09:09:45.000000,3.0.0,16.0,hyperparameter-hunter,,,270.0,382.0,2.0,,https://pypi.org/project/hyperparameter-hunter,2019-08-06 08:52:20.000000,2.0,374.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n780,kglib,graknlabs/kglib,,graph,https://github.com/vaticle/kglib,https://github.com/vaticle/kglib,Apache-2.0,2018-09-16 16:46:48.000000,2021-01-15 11:17:51.000000,2021-01-15 11:17:51.000000,76,10.0,49.0,419,487.0,Grakn Knowledge Graph Library (ML R&D).,7.0,16,True,2020-08-19 15:39:10.000000,0.2.2,7.0,grakn-kglib,,,207.0,213.0,,,https://pypi.org/project/grakn-kglib,2020-08-19 15:39:10.000000,,206.0,,,,3.0,,,,,,,,,,,,,,,,,,vaticle/kglib,,,,,,,,,\n781,atspy,firmai/atspy,,time-series-data,https://github.com/firmai/atspy,https://github.com/firmai/atspy,MIT,2020-01-28 05:00:10.000000,2020-12-01 13:53:03.000000,2020-11-12 16:15:26.000000,67,17.0,2.0,347,97.0,AtsPy: Automated Time Series Models in Python (by @firmai).,5.0,16,True,2020-11-12 16:10:48.000000,zen,39.0,atspy,,,,1039.0,3.0,3.0,https://pypi.org/project/atspy,2020-04-24 18:16:15.000000,,1039.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n782,tfdeploy,riga/tfdeploy,,model-serialisation,https://github.com/riga/tfdeploy,https://github.com/riga/tfdeploy,BSD-3-Clause,2016-03-07 13:08:21.000000,2021-01-08 09:52:54.000000,2021-01-08 09:52:49.000000,38,10.0,23.0,346,170.0,Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.,4.0,16,True,2017-03-30 10:51:26.000000,0.4.2,22.0,tfdeploy,,['tensorflow'],,163.0,2.0,,https://pypi.org/project/tfdeploy,2017-03-30 10:51:26.000000,2.0,163.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n783,pdvega,altair-viz/pdvega,,data-viz,https://github.com/altair-viz/pdvega,https://github.com/altair-viz/pdvega,MIT,2018-01-11 21:30:27.000000,2019-03-29 16:09:14.000000,2019-03-29 16:09:13.000000,29,16.0,10.0,340,177.0,Interactive plotting for Pandas using Vega-Lite.,9.0,16,False,,,1.0,pdvega,,,,144.0,55.0,48.0,https://pypi.org/project/pdvega,2018-02-01 04:56:43.000000,7.0,144.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n784,VizSeq,facebookresearch/vizseq,,nlp,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38.000000,2021-04-20 01:16:55.000000,2021-04-20 01:16:51.000000,41,7.0,8.0,324,45.0,\"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).\",3.0,16,True,2020-08-07 01:13:52.000000,0.1.15,16.0,vizseq,,,,201.0,2.0,2.0,https://pypi.org/project/vizseq,2020-08-07 01:13:52.000000,,201.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n785,LOFO,aerdem4/lofo-importance,,interpretability,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46.000000,2021-01-27 13:57:42.000000,2020-07-02 11:49:52.000000,40,2.0,10.0,319,24.0,Leave One Feature Out Importance.,3.0,16,True,2020-07-02 11:44:57.000000,0.2.6,9.0,lofo-importance,,,,274.0,3.0,3.0,https://pypi.org/project/lofo-importance,2020-07-02 11:44:57.000000,,274.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n786,DeepGraph,deepgraph/deepgraph,,graph,https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45.000000,2021-01-15 08:36:25.609000,2020-10-01 13:17:00.000000,35,7.0,5.0,233,160.0,Analyze Data with Pandas-based Networks. Documentation:.,2.0,16,True,2020-10-01 13:20:38.000000,0.2.3,13.0,deepgraph,conda-forge/deepgraph,['pandas'],,2573.0,1.0,1.0,https://pypi.org/project/deepgraph,2020-10-01 13:18:38.000000,,534.0,https://anaconda.org/conda-forge/deepgraph,2021-01-15 08:36:25.609000,89750.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n787,Parfit,jmcarpenter2/parfit,,hyperopt,https://github.com/jmcarpenter2/parfit,https://github.com/jmcarpenter2/parfit,MIT,2017-11-22 20:17:51.000000,2020-04-04 19:26:44.000000,2020-04-04 19:26:37.000000,25,6.0,5.0,197,127.0,\"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..\",2.0,16,True,,,23.0,parfit,,['sklearn'],,10039.0,8.0,8.0,https://pypi.org/project/parfit,2018-10-11 22:03:16.000000,,10039.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n788,NeuralQA,victordibia/neuralqa,,nlp,https://github.com/victordibia/neuralqa,https://github.com/victordibia/neuralqa,MIT,2020-05-19 03:55:56.000000,2021-04-21 23:04:52.000000,2020-12-16 17:41:37.000000,24,21.0,8.0,190,312.0,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,3.0,16,True,,,27.0,neuralqa,,,,254.0,2.0,2.0,https://pypi.org/project/neuralqa,2020-09-18 17:54:50.000000,,254.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n789,Julius,adefossez/julius,,audio,https://github.com/adefossez/julius,https://github.com/adefossez/julius,MIT,2020-10-26 10:54:21.000000,2021-03-03 09:48:59.000000,2021-03-03 09:27:16.000000,6,1.0,4.0,182,,Fast PyTorch based DSP for audio and 1D signals.,2.0,16,True,2021-03-03 09:48:59.000000,0.2.3,7.0,julius,,['pytorch'],,3016.0,9.0,9.0,https://pypi.org/project/julius,2021-03-03 09:48:59.000000,0.0,3016.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n790,skggm,skggm/skggm,,sklearn-utils,https://github.com/skggm/skggm,https://github.com/skggm/skggm,MIT,2016-06-11 18:35:56.000000,2020-12-24 08:36:00.000000,2020-12-24 05:43:15.000000,31,28.0,47.0,178,691.0,Scikit-learn compatible estimation of general graphical models.,5.0,16,True,2018-09-12 01:12:49.000000,0.2.8,6.0,skggm,,['sklearn'],,89.0,8.0,6.0,https://pypi.org/project/skggm,2018-09-12 01:12:49.000000,2.0,89.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n791,steppy,minerva-ml/steppy,,ml-experiments,https://github.com/minerva-ml/steppy,https://github.com/minerva-ml/steppy,MIT,2018-01-15 09:40:49.000000,2018-11-23 09:49:59.000000,2018-11-23 09:47:34.000000,31,16.0,50.0,128,69.0,\"Lightweight, Python library for fast and reproducible experimentation.\",5.0,16,False,2018-11-23 09:49:59.000000,0.1.16,16.0,steppy,,,,116.0,44.0,39.0,https://pypi.org/project/steppy,2018-11-23 09:49:59.000000,5.0,116.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n792,pyRDF2Vec,IBCNServices/pyRDF2Vec,,graph,https://github.com/IBCNServices/pyRDF2Vec,https://github.com/IBCNServices/pyRDF2Vec,MIT,2019-06-13 11:36:12.000000,2021-04-19 13:29:24.000000,2021-04-19 13:09:35.000000,19,3.0,33.0,105,1085.0,Python Implementation and Extension of RDF2Vec.,5.0,16,False,2021-04-02 07:35:12.000000,0.2.2,10.0,pyrdf2vec,,,,331.0,,,https://pypi.org/project/pyrdf2vec,2021-04-02 07:33:41.000000,,331.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n793,contextual-ai,SAP/contextual-ai,,interpretability,https://github.com/SAP/contextual-ai,https://github.com/SAP/contextual-ai,Apache-2.0,2020-05-12 07:15:56.000000,2021-03-25 23:48:34.000000,2021-01-25 04:03:23.000000,9,5.0,1.0,67,621.0,\"Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference -..\",10.0,16,False,2021-01-25 04:56:57.000000,0.0.2,2.0,contextual-ai,,,,246.0,,,https://pypi.org/project/contextual-ai,2021-01-25 04:56:57.000000,,246.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n794,GraphEmbedding,shenweichen/GraphEmbedding,,graph,https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20.000000,2021-04-06 17:36:59.000000,2020-10-18 09:32:47.000000,582,28.0,13.0,1928,28.0,Implementation and experiments of graph embedding algorithms.,8.0,15,True,,,,,,['sklearn'],,,7.0,7.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n795,pycls,facebookresearch/pycls,,image,https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17.000000,2021-04-06 08:35:04.000000,2021-03-27 08:14:57.000000,169,15.0,44.0,1537,76.0,\"Codebase for Image Classification Research, written in PyTorch.\",10.0,15,True,2020-04-15 19:33:22.000000,0.1,1.0,,,['pytorch'],,,3.0,3.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n796,Torch-Struct,harvardnlp/pytorch-struct,,pytorch-utils,https://github.com/harvardnlp/pytorch-struct,https://github.com/harvardnlp/pytorch-struct,MIT,2019-08-26 19:34:30.000000,2021-02-15 20:20:59.000000,2021-02-14 02:45:15.000000,71,18.0,24.0,925,261.0,\"Fast, general, and tested differentiable structured prediction in PyTorch.\",13.0,15,True,2021-02-15 20:20:59.000000,0.5,2.0,,,['pytorch'],,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n797,Translate,pytorch/translate,,nlp,https://github.com/pytorch/translate,https://github.com/pytorch/translate,BSD-3-Clause,2018-04-24 16:44:04.000000,2021-03-04 21:32:58.000000,2021-03-04 21:32:51.000000,167,66.0,27.0,689,805.0,Translate - a PyTorch Language Library.,85.0,15,True,,,1.0,pytorch-translate,,['pytorch'],,18.0,,,https://pypi.org/project/pytorch-translate,2018-05-01 19:59:40.000000,,18.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n798,Anchor,marcotcr/anchor,,interpretability,https://github.com/marcotcr/anchor,https://github.com/marcotcr/anchor,BSD-2-Clause,2018-02-02 23:38:50.000000,2021-04-19 22:37:30.000000,2021-04-19 22:37:22.000000,87,15.0,46.0,633,42.0,Code for High-Precision Model-Agnostic Explanations paper.,8.0,15,True,,,8.0,anchor_exp,,,,771.0,,,https://pypi.org/project/anchor_exp,2020-06-26 20:56:50.000000,,771.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n799,Tez,abhishekkrthakur/tez,,pytorch-utils,https://github.com/abhi1thakur/tez,https://github.com/abhi1thakur/tez,Apache-2.0,2020-11-13 10:19:22.000000,2021-03-06 18:36:45.000000,2021-03-06 18:36:45.000000,78,12.0,7.0,594,,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,2.0,15,True,2021-01-29 07:26:14.000000,0.1.2,9.0,tez,,['pytorch'],,788.0,6.0,6.0,https://pypi.org/project/tez,2021-01-29 07:26:14.000000,,788.0,,,,3.0,,,,,,,,,,,,,,,,,,abhi1thakur/tez,,,,,,,,,\n800,FlashTorch,MisaOgura/flashtorch,,interpretability,https://github.com/MisaOgura/flashtorch,https://github.com/MisaOgura/flashtorch,MIT,2019-03-22 13:00:57.000000,2020-12-14 23:09:26.000000,2020-05-29 14:37:29.000000,66,6.0,21.0,581,126.0,Visualization toolkit for neural networks in PyTorch! Demo --.,2.0,15,True,2020-05-29 14:39:38.000000,0.1.3,12.0,flashtorch,,['pytorch'],,301.0,6.0,6.0,https://pypi.org/project/flashtorch,2020-05-29 14:38:32.000000,,301.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n801,cuSignal,rapidsai/cusignal,,gpu-utilities,https://github.com/rapidsai/cusignal,https://github.com/rapidsai/cusignal,Apache-2.0,2019-08-22 14:27:27.000000,2021-04-21 22:07:41.000000,2021-04-21 22:07:41.000000,61,15.0,96.0,478,,GPU accelerated signal processing.,29.0,15,True,2021-04-21 15:16:02.000000,0.19.0,6.0,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n802,PandaPy,firmai/pandapy,,data-containers,https://github.com/firmai/pandapy,https://github.com/firmai/pandapy,MIT,2020-01-15 18:21:23.000000,2020-11-12 16:18:45.000000,2020-11-12 16:18:44.000000,47,2.0,1.0,474,83.0,PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai).,3.0,15,True,2020-11-12 16:12:54.000000,zen,22.0,pandapy,,['pandas'],,177.0,1.0,1.0,https://pypi.org/project/pandapy,2020-01-25 23:10:32.000000,,177.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n803,OpenRec,ylongqi/openrec,,recommender-systems,https://github.com/ylongqi/openrec,https://github.com/ylongqi/openrec,Apache-2.0,2017-11-29 16:04:40.000000,2020-11-13 17:47:17.000000,2020-02-19 07:57:17.000000,82,4.0,12.0,368,213.0,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms.,10.0,15,False,2020-02-18 06:52:11.000000,0.3.0,12.0,openrec,,,,96.0,2.0,1.0,https://pypi.org/project/openrec,2020-02-18 06:52:11.000000,1.0,96.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n804,TransferNLP,feedly/transfer-nlp,,nlp,https://github.com/feedly/transfer-nlp,https://github.com/feedly/transfer-nlp,MIT,2019-03-12 20:00:31.000000,2020-05-28 19:00:02.000000,2020-05-28 17:31:53.000000,18,4.0,20.0,287,465.0,NLP library designed for reproducible experimentation management.,7.0,15,True,2020-05-28 19:00:02.000000,0.1.6,8.0,transfer-nlp,,['pytorch'],,161.0,,,https://pypi.org/project/transfer-nlp,2020-05-28 19:00:02.000000,,161.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n805,data-describe,data-describe/data-describe,,data-viz,https://github.com/data-describe/data-describe,https://github.com/data-describe/data-describe,Apache-2.0,2020-05-04 17:58:14.000000,2021-04-13 06:31:03.000000,2021-03-02 19:30:45.000000,14,69.0,175.0,273,695.0,datadescribe: Pythonic EDA Accelerator for Data Science.,14.0,15,True,,,5.0,data-describe,,,,361.0,,,https://pypi.org/project/data-describe,2020-12-03 23:07:43.000000,,361.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n806,Auptimizer,LGE-ARC-AdvancedAI/auptimizer,,hyperopt,https://github.com/LGE-ARC-AdvancedAI/auptimizer,https://github.com/LGE-ARC-AdvancedAI/auptimizer,GPL-3.0,2019-09-12 01:08:37.000000,2021-03-03 01:50:33.000000,2021-03-03 01:30:06.000000,21,1.0,5.0,169,79.0,An automatic ML model optimization tool.,11.0,15,False,2021-03-03 02:00:23.000000,2.0,7.0,auptimizer,,,,345.0,,,https://pypi.org/project/auptimizer,2021-03-02 02:40:32.000000,,345.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n807,nx-altair,Zsailer/nx_altair,,data-viz,https://github.com/Zsailer/nx_altair,https://github.com/Zsailer/nx_altair,MIT,2018-05-13 00:10:12.000000,2020-09-30 12:01:08.000000,2020-06-02 21:10:26.000000,20,5.0,4.0,161,51.0,Draw interactive NetworkX graphs with Altair.,3.0,15,True,2020-06-02 21:11:12.000000,0.1.6,8.0,nx-altair,,['jupyter'],,459.0,4.0,,https://pypi.org/project/nx-altair,2020-06-02 21:11:12.000000,4.0,459.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n808,ModelChimp,ModelChimp/modelchimp,,ml-experiments,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03.000000,2021-04-22 02:51:57.000000,2021-02-15 13:37:13.000000,12,4.0,10.0,121,361.0,Experiment tracking for machine and deep learning projects.,3.0,15,False,2019-04-09 10:43:15.000000,0.4.0,37.0,modelchimp,,,,570.0,,,https://pypi.org/project/modelchimp,2019-04-09 10:41:20.000000,,548.0,,,,3.0,,,modelchimp/modelchimp-server,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,638.0,,,,,,,,,,,,,,,,,,,,\n809,Hypermax,electricbrainio/hypermax,,hyperopt,https://github.com/electricbrainio/hypermax,https://github.com/electricbrainio/hypermax,BSD-3-Clause,2018-07-27 18:43:01.000000,2020-08-02 18:08:50.000000,2020-08-02 18:08:46.000000,15,3.0,1.0,96,207.0,\"Better, faster hyper-parameter optimization.\",9.0,15,False,2019-10-23 15:40:12.000000,0.5.1,11.0,hypermax,,,,153.0,4.0,4.0,https://pypi.org/project/hypermax,2019-10-23 15:40:12.000000,,153.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n810,DE⫶TR,facebookresearch/detr,,image,https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52.000000,2021-04-18 16:13:13.000000,2020-11-15 16:03:45.000000,1048,77.0,230.0,6726,41.0,End-to-End Object Detection with Transformers.,19.0,14,True,2020-06-29 16:41:01.000000,0.2,1.0,,,['pytorch'],,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n811,PySlowFast,facebookresearch/SlowFast,,image,https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26.000000,2021-04-20 18:16:00.000000,2021-04-20 18:15:55.000000,673,188.0,190.0,3519,108.0,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,20.0,14,True,,,,,,['pytorch'],,,2.0,2.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n812,OpenNRE,thunlp/OpenNRE,,nlp,https://github.com/thunlp/OpenNRE,https://github.com/thunlp/OpenNRE,MIT,2017-02-26 07:37:12.000000,2021-03-09 04:16:47.000000,2021-03-09 04:16:47.000000,864,24.0,287.0,3062,139.0,An Open-Source Package for Neural Relation Extraction (NRE).,9.0,14,True,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n813,OpenKE,thunlp/OpenKE,,graph,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,MIT,2017-10-08 11:20:23.000000,2021-04-06 08:24:33.000000,2021-04-06 08:24:50.000000,776,61.0,229.0,2526,97.0,An Open-Source Package for Knowledge Embedding (KE).,10.0,14,True,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n814,GraphSAGE,williamleif/GraphSAGE,,graph,https://github.com/williamleif/GraphSAGE,https://github.com/williamleif/GraphSAGE,MIT,2017-05-29 15:36:22.000000,2021-02-02 21:46:42.000000,2018-09-19 19:27:00.000000,641,85.0,58.0,2279,59.0,Representation learning on large graphs using stochastic graph convolutions.,9.0,14,False,,,,,,['tensorflow'],,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n815,ZhuSuan,thu-ml/zhusuan,,probabilistics,https://github.com/thu-ml/zhusuan,https://github.com/thu-ml/zhusuan,MIT,2016-07-18 13:31:38.000000,2020-01-09 14:51:27.000000,2019-08-05 10:00:04.000000,388,8.0,53.0,2035,439.0,\"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.\",20.0,14,False,,,,,,['tensorflow'],,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n816,OpenNE,thunlp/OpenNE,,graph,https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20.000000,2021-03-22 13:16:57.000000,2019-08-12 10:56:27.000000,447,50.0,82.0,1445,98.0,An Open-Source Package for Network Embedding (NE).,10.0,14,False,,,,,,['tensorflow'],,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n817,AutoGL,THUMNLab/AutoGL,,graph,https://github.com/THUMNLab/AutoGL,https://github.com/THUMNLab/AutoGL,MIT,2020-11-30 14:26:22.000000,2021-04-22 07:36:35.000000,2021-04-10 10:49:50.000000,62,5.0,4.0,624,,An autoML framework & toolkit for machine learning on graphs.,5.0,14,True,2020-12-23 08:15:15.000000,0.1.1,2.0,auto-graph-learning,,['pytorch'],,108.0,,,https://pypi.org/project/auto-graph-learning,2020-12-23 08:05:25.000000,,108.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n818,NeoML,neoml-lib/neoml,,ml-frameworks,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000000,2021-04-22 13:00:45.000000,2021-04-22 10:42:58.000000,84,36.0,13.0,585,304.0,Machine learning framework for both deep learning and traditional algorithms.,21.0,14,True,2020-06-14 17:44:03.000000,NeoML-master_1.0.1.0,1.0,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n819,Adversary,airbnb/artificial-adversary,,adversarial,https://github.com/airbnb/artificial-adversary,https://github.com/airbnb/artificial-adversary,MIT,2018-08-08 04:42:11.000000,2018-10-14 05:34:44.000000,2018-08-29 15:31:30.000000,51,6.0,,349,15.0,Tool to generate adversarial text examples and test machine learning models against them.,5.0,14,False,2018-08-29 15:14:41.000000,1.1.1,3.0,Adversary,,,,75.0,6.0,6.0,https://pypi.org/project/Adversary,2018-08-29 15:14:41.000000,0.0,75.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n820,textvec,textvec/textvec,,nlp,https://github.com/textvec/textvec,https://github.com/textvec/textvec,MIT,2018-04-12 14:03:53.000000,2020-12-03 14:23:11.000000,2020-12-03 14:23:04.000000,21,2.0,6.0,168,70.0,Text vectorization tool to outperform TFIDF for classification tasks.,5.0,14,True,2019-09-12 07:41:04.000000,2.0,4.0,textvec,,['sklearn'],,175.0,2.0,2.0,https://pypi.org/project/textvec,2020-12-03 14:17:09.000000,,175.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n821,ONNX-T5,abelriboulot/onnxt5,,nlp,https://github.com/abelriboulot/onnxt5,https://github.com/abelriboulot/onnxt5,Apache-2.0,2020-08-01 09:38:35.000000,2021-01-28 09:26:15.000000,2021-01-28 09:24:52.000000,19,5.0,6.0,147,74.0,\"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..\",3.0,14,False,2021-01-28 09:26:15.000000,0.1.8,11.0,onnxt5,,,,175.0,,,https://pypi.org/project/onnxt5,2021-01-28 09:26:15.000000,,175.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n822,DeepNeuro,QTIM-Lab/DeepNeuro,,medical-data,https://github.com/QTIM-Lab/DeepNeuro,https://github.com/QTIM-Lab/DeepNeuro,MIT,2017-06-01 19:36:34.000000,2020-06-24 13:00:15.000000,2020-06-24 13:00:14.000000,32,27.0,16.0,101,285.0,A deep learning python package for neuroimaging data. Made by:.,6.0,14,False,2019-06-10 21:04:04.000000,0.2.3,6.0,deepneuro,,,,115.0,1.0,1.0,https://pypi.org/project/deepneuro,2019-06-10 21:04:04.000000,,115.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n823,Attribution Priors,suinleelab/attributionpriors,,interpretability,https://github.com/suinleelab/attributionpriors,https://github.com/suinleelab/attributionpriors,MIT,2019-06-24 23:54:24.000000,2021-03-19 19:43:58.000000,2021-03-19 19:43:51.000000,6,1.0,3.0,75,72.0,Tools for training explainable models using attribution priors.,6.0,14,False,2021-03-16 17:47:18.000000,1.0.0,4.0,attributionpriors,,\"['tensorflow', 'pytorch']\",,134.0,2.0,2.0,https://pypi.org/project/attributionpriors,2019-10-31 18:03:05.000000,,134.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n824,LazyCluster,ml-tooling/lazycluster,,distributed-ml,https://github.com/ml-tooling/lazycluster,https://github.com/ml-tooling/lazycluster,Apache-2.0,2019-08-07 08:05:13.000000,2021-04-06 18:36:57.000000,2020-12-14 15:24:53.000000,6,,,34,,Distributed machine learning made simple.,2.0,14,False,2020-12-14 15:25:59.000000,0.2.4,5.0,lazycluster,,,,267.0,3.0,3.0,https://pypi.org/project/lazycluster,2020-12-14 14:49:33.000000,,267.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n825,nptsne,biovault/nptsne,,data-viz,https://github.com/biovault/nptsne,https://github.com/biovault/nptsne,Apache-2.0,2019-06-28 08:40:25.000000,2021-03-08 15:54:27.000000,2021-02-03 08:52:27.000000,2,6.0,5.0,25,857.0,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,3.0,14,False,2020-09-10 23:54:14.000000,1.1.0,2.0,nptsne,,,,231.0,2.0,2.0,https://pypi.org/project/nptsne,2020-09-10 23:54:14.000000,,231.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n826,StarSpace,facebookresearch/StarSpace,,ml-frameworks,https://github.com/facebookresearch/StarSpace,https://github.com/facebookresearch/StarSpace,MIT,2017-06-28 17:50:18.000000,2020-05-18 03:40:57.000000,2019-12-13 19:03:25.000000,494,50.0,146.0,3587,138.0,\"Learning embeddings for classification, retrieval and ranking.\",17.0,13,False,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n827,ENAS,carpedm20/ENAS-pytorch,,hyperopt,https://github.com/carpedm20/ENAS-pytorch,https://github.com/carpedm20/ENAS-pytorch,Apache-2.0,2018-02-15 04:54:37.000000,2020-12-09 18:13:03.000000,2020-06-16 07:23:32.000000,447,37.0,7.0,2423,53.0,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,6.0,13,True,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n828,micrograd,karpathy/micrograd,,pytorch-utils,https://github.com/karpathy/micrograd,https://github.com/karpathy/micrograd,MIT,2020-04-13 04:31:18.000000,2020-12-18 12:55:50.000000,2020-04-18 19:15:25.000000,124,2.0,3.0,1639,24.0,A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.,2.0,13,True,2020-04-18 19:06:59.000000,0.1.0,1.0,micrograd,,['pytorch'],,38.0,1.0,1.0,https://pypi.org/project/micrograd,2020-04-18 19:06:59.000000,0.0,38.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n829,Medical Detection Toolkit,MIC-DKFZ/medicaldetectiontoolkit,,medical-data,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,Apache-2.0,2018-10-12 12:34:57.000000,2021-03-30 11:54:29.000000,2021-03-30 11:54:21.000000,239,27.0,85.0,940,37.0,\"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..\",3.0,13,True,,,,,,['pytorch'],,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n830,featurewiz,AutoViML/featurewiz,,hyperopt,https://github.com/AutoViML/featurewiz,https://github.com/AutoViML/featurewiz,Apache-2.0,2020-11-29 16:46:16.000000,2021-03-26 02:07:46.000000,2021-03-26 02:06:21.000000,15,2.0,,49,,Use advanced feature engineering strategies and select the best features from your data set fast with a single line of..,1.0,13,False,2021-03-25 14:45:32.000000,0.0.32,33.0,featurewiz,,,,1517.0,,,https://pypi.org/project/featurewiz,2021-03-26 02:07:46.000000,,1517.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n831,bias-detector,intuit/bias-detector,,interpretability,https://github.com/intuit/bias-detector,https://github.com/intuit/bias-detector,MIT,2021-02-02 16:58:52.000000,2021-02-14 12:06:08.000000,2021-02-14 12:06:02.000000,4,,,21,,Bias Detector is a python package for detecting bias in machine learning models.,3.0,13,False,2021-02-09 11:20:10.000000,0.0.11,10.0,bias-detector,,,,387.0,,,https://pypi.org/project/bias-detector,2021-02-09 11:20:10.000000,,387.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n832,surpriver,tradytics/surpriver,,financial-data,https://github.com/tradytics/surpriver,https://github.com/tradytics/surpriver,GPL-3.0,2020-08-30 07:56:22.000000,2020-11-13 00:48:16.000000,2020-09-21 04:32:05.000000,217,10.0,5.0,1194,64.0,Find big moving stocks before they move using machine learning and anomaly detection.,6.0,12,False,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n833,MedicalNet,Tencent/MedicalNet,,medical-data,https://github.com/Tencent/MedicalNet,https://github.com/Tencent/MedicalNet,MIT,2019-07-17 09:53:10.000000,2020-08-27 13:37:27.000000,2020-08-27 13:37:26.000000,299,45.0,14.0,1099,26.0,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,1.0,12,True,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n834,GraphVite,DeepGraphLearning/graphvite,,graph,https://github.com/DeepGraphLearning/graphvite,https://github.com/DeepGraphLearning/graphvite,Apache-2.0,2019-07-16 15:48:20.000000,2021-01-14 02:19:03.000000,2021-01-14 02:18:46.000000,120,28.0,55.0,886,15.0,GraphVite: A General and High-performance Graph Embedding System.,1.0,12,True,,,4.0,,milagraph/graphvite,,,183.0,,,,,,,https://anaconda.org/milagraph/graphvite,2020-03-19 18:21:30.972000,3677.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n835,traintool,jrieke/traintool,,ml-experiments,https://github.com/jrieke/traintool,https://github.com/jrieke/traintool,Apache-2.0,2020-09-30 22:23:05.000000,2021-03-12 01:44:04.000000,2021-03-12 01:43:14.000000,1,,,9,122.0,Train off-the-shelf machine learning models in one line of code.,,12,False,2020-11-02 02:25:32.000000,0.0.3,3.0,traintool,,\"['pytorch', 'tensorflow', 'sklearn']\",,40.0,,,https://pypi.org/project/traintool,2020-11-02 02:25:32.000000,,40.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n836,Devol,joeddav/devol,,hyperopt,https://github.com/joeddav/devol,https://github.com/joeddav/devol,MIT,2017-02-10 03:07:54.000000,2020-07-05 21:56:59.000000,2020-07-05 21:56:58.000000,109,7.0,20.0,930,116.0,Genetic neural architecture search with Keras.,18.0,11,True,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n837,PySparNN,facebookresearch/pysparnn,,nn-search,https://github.com/facebookresearch/pysparnn,https://github.com/facebookresearch/pysparnn,BSD-3-Clause,2016-03-28 20:43:42.000000,2020-10-02 06:01:01.000000,2018-01-31 16:50:23.000000,142,14.0,14.0,867,147.0,Approximate Nearest Neighbor Search for Sparse Data in Python!.,5.0,11,False,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n838,Hypertunity,gdikov/hypertunity,,hyperopt,https://github.com/gdikov/hypertunity,https://github.com/gdikov/hypertunity,Apache-2.0,2019-06-02 12:04:55.000000,2020-01-26 23:14:49.000000,2020-01-26 22:53:29.000000,9,,2.0,121,64.0,A toolset for black-box hyperparameter optimisation.,2.0,11,False,2020-01-26 23:08:16.000000,1.0.1,7.0,hypertunity,,,,76.0,2.0,2.0,https://pypi.org/project/hypertunity,2020-01-26 23:08:16.000000,,76.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n839,traingenerator,jrieke/traingenerator,,others,https://github.com/jrieke/traingenerator,https://github.com/jrieke/traingenerator,MIT,2020-12-03 16:47:16.000000,2021-03-03 18:43:40.000000,2021-01-20 23:05:06.000000,129,9.0,3.0,978,,A web app to generate template code for machine learning.,3.0,10,True,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n840,Mozart,aashrafh/Mozart,,ocr,https://github.com/aashrafh/Mozart,https://github.com/aashrafh/Mozart,Apache-2.0,2020-12-14 11:49:14.000000,2021-04-04 17:30:24.000000,2021-04-04 17:30:24.000000,40,1.0,2.0,252,,An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.,5.0,10,True,,,,,,['sklearn'],,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n841,bodywork-core,bodywork-ml/bodywork-core,,data-pipelines,https://github.com/bodywork-ml/bodywork-core,https://github.com/bodywork-ml/bodywork-core,AGPL-3.0,2020-11-17 11:38:17.000000,2021-04-20 11:18:08.000000,2021-04-09 14:52:59.000000,10,6.0,17.0,186,276.0,MLOps tool for deploying machine learning projects to Kubernetes.,4.0,10,False,,,,bodywork-core,,,,,,,https://pypi.org/project/bodywork-core,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,\n"
  },
  {
    "path": "history/2021-04-29_changes.md",
    "content": "## 📈 Trending Up\n\n_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._\n\n- <b><a href=\"https://github.com/tensorflow/tensorflow\">Tensorflow</a></b> (🥇44 ·  ⭐ 160K · 📈) - An Open Source Machine Learning Framework for Everyone. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/openai/gym\">OpenAI Gym</a></b> (🥇36 ·  ⭐ 24K · 📈) - A toolkit for developing and comparing reinforcement learning.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/apache/arrow\">Arrow</a></b> (🥇36 ·  ⭐ 7.8K · 📈) - Apache Arrow is a cross-language development platform for in-.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/visgl/deck.gl\">pydeck</a></b> (🥇34 ·  ⭐ 8.6K · 📈) - WebGL2 powered geospatial visualization layers. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/optuna/optuna\">Optuna</a></b> (🥇32 ·  ⭐ 4.5K · 📈) - A hyperparameter optimization framework. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/dask/distributed\">dask.distributed</a></b> (🥇32 ·  ⭐ 1.2K · 📈) - A distributed task scheduler for Dask. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/facebookresearch/fastText\">fastText</a></b> (🥈30 ·  ⭐ 23K · 💤) - Library for fast text representation and classification. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/lanpa/tensorboardX\">tensorboardX</a></b> (🥈30 ·  ⭐ 6.9K · 📈) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/JaidedAI/EasyOCR\">EasyOCR</a></b> (🥇29 ·  ⭐ 11K · 📈) - Ready-to-use OCR with 80+ supported languages and all popular.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/EthicalML/xai\">XAI</a></b> (🥉19 ·  ⭐ 620 · 📈) - XAI - An eXplainability toolbox for machine learning. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n\n## 📉 Trending Down\n\n_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._\n\n- <b><a href=\"https://github.com/apache/flink\">PyFlink</a></b> (🥈33 ·  ⭐ 16K · 📉) - Apache Flink Python API. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/flairNLP/flair\">flair</a></b> (🥈30 ·  ⭐ 10K · 📉) - A very simple framework for state-of-the-art Natural Language.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/bqplot/bqplot\">bqplot</a></b> (🥈28 ·  ⭐ 3.1K · 📉) - Plotting library for IPython/Jupyter notebooks. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/mozilla/DeepSpeech\">DeepSpeech</a></b> (🥈26 ·  ⭐ 17K · 📉) - DeepSpeech is an open source embedded (offline, on-.. <code><a href=\"http://bit.ly/3postzC\">MPL-2.0</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/vispy/vispy\">VisPy</a></b> (🥉26 ·  ⭐ 2.6K · 📉) - High-performance interactive 2D/3D data visualization library. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/apple/turicreate\">Turi Create</a></b> (🥉25 ·  ⭐ 10K · 📉) - Turi Create simplifies the development of custom machine.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/tensorflow/io\">TensorFlow I/O</a></b> (🥉24 ·  ⭐ 450 · 📉) - Dataset, streaming, and file system extensions.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/life4/textdistance\">TextDistance</a></b> (🥉22 ·  ⭐ 2K · 📉) - Compute distance between sequences. 30+ algorithms, pure python.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/Project-MONAI/MONAI\">MONAI</a></b> (🥉20 ·  ⭐ 1.9K · 📉) - AI Toolkit for Healthcare Imaging. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/utterworks/fast-bert\">fast-bert</a></b> (🥉20 ·  ⭐ 1.6K · 📉) - Super easy library for BERT based NLP models. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n\n"
  },
  {
    "path": "history/2021-04-29_projects.csv",
    "content": ",name,github_id,resource,category,github_url,homepage,license,created_at,updated_at,last_commit_pushed_at,fork_count,open_issue_count,closed_issue_count,star_count,commit_count,description,contributor_count,projectrank,show,latest_stable_release_published_at,latest_stable_release_number,release_count,pypi_id,conda_id,dockerhub_id,docs_url,labels,dependent_project_count,github_dependent_project_count,pypi_url,pypi_latest_release_published_at,pypi_dependent_project_count,pypi_monthly_downloads,monthly_downloads,conda_url,conda_latest_release_published_at,conda_total_downloads,dockerhub_url,dockerhub_latest_release_published_at,dockerhub_stars,dockerhub_pulls,projectrank_placing,trending,github_release_downloads,helm_id,npm_id,npm_url,npm_latest_release_published_at,npm_dependent_project_count,npm_monthly_downloads,conda_dependent_project_count,brew_id,apt_id,yum_id,updated_github_id,snap_id,dnf_id,yay_id,maven_id,maven_url,maven_latest_release_published_at,maven_dependent_project_count,gitlab_id,gitlab_url\n0,ANN Benchmarks,erikbern/ann-benchmarks,True,nn-search,https://github.com/erikbern/ann-benchmarks,https://github.com/erikbern/ann-benchmarks,MIT,2015-05-28 13:21:43.000000,2021-04-27 02:35:03.000000,2021-04-27 02:35:03.000000,344,28.0,61.0,2191,1192.0,Benchmarks of approximate nearest neighbor libraries in Python.,56.0,0,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n1,best-of-web-python - Web Scraping,ml-tooling/best-of-web-python,True,web-scraping,https://github.com/ml-tooling/best-of-web-python,https://github.com/ml-tooling/best-of-web-python,CC-BY-SA-4.0,2021-01-05 13:09:27.000000,2021-04-29 15:19:44.000000,2021-04-22 18:00:23.000000,76,,2.0,1187,,Collection of web-scraping and crawling libraries.,6.0,0,True,2021-04-22 17:23:07.000000,2021.04.22,14.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n2,best-of-python - DB Clients,ml-tooling/best-of-python,True,db-clients,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#database-clients,CC-BY-SA-4.0,2021-01-11 19:11:32.000000,2021-04-29 14:48:37.000000,2021-04-22 18:00:04.000000,119,,3.0,1601,,Collection of database clients for python.,5.0,0,True,2021-04-22 17:25:47.000000,2021.04.22,14.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n3,Tensorflow,tensorflow/tensorflow,,ml-frameworks,https://github.com/tensorflow/tensorflow,https://github.com/tensorflow/tensorflow,Apache-2.0,2015-11-07 01:19:20.000000,2021-04-29 13:53:12.638850,2021-04-29 10:35:38.000000,84523,4009.0,27495.0,157239,109645.0,An Open Source Machine Learning Framework for Everyone.,3638.0,44,True,2021-01-21 19:55:54.000000,2.4.1,119.0,tensorflow,conda-forge/tensorflow,tensorflow/tensorflow,https://www.tensorflow.org/overview,['tensorflow'],156567.0,134043.0,https://pypi.org/project/tensorflow,2021-04-27 22:36:14.000000,22524.0,9739035.0,10562272.0,https://anaconda.org/conda-forge/tensorflow,2021-04-12 19:23:10.836000,2511431.0,https://hub.docker.com/r/tensorflow/tensorflow,2021-04-29 13:53:12.638850,1892.0,50834346.0,1.0,7.0,,,,,,,,,,,,,,,,,,,,,\n4,pandas,pandas-dev/pandas,,data-containers,https://github.com/pandas-dev/pandas,https://github.com/pandas-dev/pandas,BSD-3-Clause,2010-08-24 01:37:33.000000,2021-04-29 14:19:29.000000,2021-04-28 19:31:26.000000,12194,3717.0,16902.0,29511,26620.0,\"Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R..\",2666.0,43,True,2021-04-12 18:41:49.000000,1.2.4,91.0,pandas,conda-forge/pandas,,,['pandas'],509004.0,432220.0,https://pypi.org/project/pandas,2021-04-12 18:43:31.000000,76784.0,46461457.0,46732026.0,https://anaconda.org/conda-forge/pandas,2021-04-13 16:22:06.030000,15892644.0,,,,,1.0,,104685.0,,,,,,,,,,,,,,,,,,,,\n5,scipy,scipy/scipy,,others,https://github.com/scipy/scipy,https://github.com/scipy/scipy,BSD-3-Clause,2011-03-09 18:52:03.000000,2021-04-29 15:10:55.000000,2021-04-29 09:13:41.000000,3657,1632.0,5865.0,8189,25479.0,\"Ecosystem of open-source software for mathematics, science, and engineering.\",1151.0,42,True,2021-04-26 02:11:23.000000,1.6.3,63.0,scipy,conda-forge/scipy,,,,421560.0,334698.0,https://pypi.org/project/scipy,2021-04-26 00:22:45.000000,86862.0,29119322.0,29363815.0,https://anaconda.org/conda-forge/scipy,2021-04-27 23:19:03.675000,14156045.0,,,,,1.0,,314773.0,,,,,,,,,,,,,,,,,,,,\n6,PyTorch,pytorch/pytorch,,ml-frameworks,https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41.000000,2021-04-29 13:57:32.000000,2021-04-29 13:56:20.000000,12681,8648.0,13869.0,47884,36088.0,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,2634.0,41,True,2021-03-25 16:07:08.000000,1.8.1,32.0,torch,pytorch/pytorch,,https://pytorch.org/docs/stable/index.html,['pytorch'],80057.0,73375.0,https://pypi.org/project/torch,2021-03-25 15:54:32.000000,6682.0,3864331.0,4128955.0,https://anaconda.org/pytorch/pytorch,2021-03-25 16:42:58.661000,10849595.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n7,Matplotlib,matplotlib/matplotlib,,data-viz,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,Python-2.0,2011-02-19 03:17:12.000000,2021-04-29 13:00:20.000000,2021-04-29 03:39:14.000000,5733,1702.0,6174.0,13552,38711.0,matplotlib: plotting with Python.,1224.0,41,True,2021-03-31 07:23:52.000000,3.4.1,66.0,matplotlib,conda-forge/matplotlib,,,,440106.0,361002.0,https://pypi.org/project/matplotlib,2021-03-26 07:50:28.000000,79104.0,19592243.0,19722710.0,https://anaconda.org/conda-forge/matplotlib,2021-03-31 18:55:37.001000,8741300.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n8,Pillow,python-pillow/Pillow,,image,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000000,2021-04-29 13:10:22.000000,2021-04-29 11:18:54.000000,1621,214.0,1986.0,8469,11631.0,The friendly PIL fork (Python Imaging Library).,357.0,40,True,2021-04-01 20:55:51.000000,8.2.0,80.0,Pillow,conda-forge/pillow,,,,562900.0,451474.0,https://pypi.org/project/Pillow,2021-04-01 20:53:21.000000,111426.0,31142003.0,31278864.0,https://anaconda.org/conda-forge/pillow,2021-04-08 13:38:34.408000,8211719.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n9,Celery,celery/celery,,data-pipelines,https://github.com/celery/celery,https://github.com/celery/celery,BSD-3-Clause,2009-04-24 11:31:24.000000,2021-04-29 14:22:36.000000,2021-04-29 14:15:04.000000,3974,497.0,3989.0,17165,11583.0,Asynchronous task queue/job queue based on distributed message passing.,1111.0,39,True,2021-04-02 04:55:05.000000,5.1.0b1,172.0,celery,conda-forge/celery,,,,80255.0,52021.0,https://pypi.org/project/celery,2021-04-02 04:52:41.000000,28234.0,4993166.0,5000952.0,https://anaconda.org/conda-forge/celery,2021-03-24 04:34:11.646000,474958.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n10,PySpark,apache/spark,,ml-frameworks,https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08.000000,2021-04-29 13:19:59.000000,2021-04-29 04:58:51.000000,23545,218.0,,29524,29941.0,Apache Spark Python API.,2447.0,38,True,2021-02-19 18:08:00.000000,3.0.2,22.0,pyspark,conda-forge/pyspark,,,['spark'],1345.0,585.0,https://pypi.org/project/pyspark,2021-02-19 18:08:00.000000,760.0,9819658.0,9840304.0,https://anaconda.org/conda-forge/pyspark,2021-03-04 09:44:05.675000,1011667.0,,,,,1.0,,,stable/spark,,,,,,,,,,,,,,,,,,,\n11,numpy,numpy/numpy,,data-containers,https://github.com/numpy/numpy,https://github.com/numpy/numpy,BSD-3-Clause,2010-09-13 23:02:39.000000,2021-04-29 14:47:35.000000,2021-04-28 19:55:27.000000,5436,2280.0,7454.0,17008,,The fundamental package for scientific computing with Python.,1312.0,38,True,2021-03-27 23:33:19.000000,1.20.2,97.0,numpy,conda-forge/numpy,,,,861360.0,691638.0,https://pypi.org/project/numpy,2021-03-27 22:16:26.000000,169722.0,70752922.0,71075882.0,https://anaconda.org/conda-forge/numpy,2021-03-28 21:35:26.037000,18682699.0,,,,,1.0,,334175.0,,,,,,,,,,,,,,,,,,,,\n12,scikit-learn,scikit-learn/scikit-learn,,ml-frameworks,https://github.com/scikit-learn/scikit-learn,https://github.com/scikit-learn/scikit-learn,BSD-3-Clause,2010-08-17 09:43:38.000000,2021-04-29 09:33:24.000000,2021-04-28 13:37:41.000000,21371,2337.0,6855.0,45569,,scikit-learn: machine learning in Python.,2211.0,37,True,2021-04-28 17:20:23.000000,0.24.2,54.0,scikit-learn,conda-forge/scikit-learn,,,['sklearn'],252681.0,214793.0,https://pypi.org/project/scikit-learn,2021-04-28 11:18:29.000000,37888.0,22110723.0,22243189.0,https://anaconda.org/conda-forge/scikit-learn,2021-04-28 21:30:13.539000,7814853.0,,,,,1.0,,686.0,,,,,,,,,,,,,,,,,,,,\n13,XGBoost,dmlc/xgboost,,ml-frameworks,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000000,2021-04-29 10:28:58.000000,2021-04-28 17:32:01.000000,7980,293.0,3745.0,20926,5309.0,\"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..\",513.0,37,True,2021-04-20 00:37:45.000000,1.4.1,55.0,xgboost,conda-forge/xgboost,,https://xgboost.readthedocs.io/en/latest/,,17922.0,16330.0,https://pypi.org/project/xgboost,2021-04-12 18:26:19.000000,1592.0,5190489.0,5222603.0,https://anaconda.org/conda-forge/xgboost,2021-03-09 14:27:32.491000,1572360.0,,,,,1.0,,2270.0,,,,,,,,,,,,,,,,,,,,\n14,spaCy,explosion/spaCy,,nlp,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000000,2021-04-29 10:20:26.000000,2021-04-28 12:42:02.000000,3383,102.0,4494.0,20306,14469.0,Industrial-strength Natural Language Processing (NLP) in Python.,581.0,37,True,2021-04-23 12:16:12.000000,3.0.6,177.0,spacy,conda-forge/spacy,,,,27281.0,24215.0,https://pypi.org/project/spacy,2021-04-23 12:16:12.000000,3066.0,2048285.0,2084237.0,https://anaconda.org/conda-forge/spacy,2021-04-24 09:37:43.886000,1794856.0,,,,,1.0,,3005.0,,,,,,,,,,,,,,,,,,,,\n15,Faker,joke2k/faker,,data-loading,https://github.com/joke2k/faker,https://github.com/joke2k/faker,MIT,2012-11-12 23:00:09.000000,2021-04-29 14:50:25.000000,2021-04-29 14:49:51.000000,1408,143.0,362.0,12449,2625.0,Faker is a Python package that generates fake data for you.,399.0,37,True,2021-04-29 14:50:26.000000,8.1.2,137.0,Faker,conda-forge/faker,,,,30865.0,26153.0,https://pypi.org/project/Faker,2021-04-29 14:50:15.000000,4712.0,4119332.0,4127841.0,https://anaconda.org/conda-forge/faker,2021-04-23 17:10:00.330000,416986.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n16,Seaborn,mwaskom/seaborn,,data-viz,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000000,2021-04-26 19:26:27.000000,2021-04-23 11:40:36.000000,1383,98.0,1742.0,8357,2766.0,Statistical data visualization using matplotlib.,152.0,37,True,2021-03-29 17:36:25.000000,joss_paper,23.0,seaborn,conda-forge/seaborn,,,,105034.0,92248.0,https://pypi.org/project/seaborn,2020-12-20 20:53:25.000000,12786.0,4921725.0,4962619.0,https://anaconda.org/conda-forge/seaborn,2021-01-28 11:50:33.609000,2290042.0,,,,,1.0,,161.0,,,,,,,,,,,,,,,,,,,,\n17,transformers,huggingface/transformers,,nlp,https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000000,2021-04-29 14:23:39.000000,2021-04-29 11:51:09.000000,10575,720.0,6249.0,45338,7085.0,Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.,858.0,36,True,2021-04-13 15:25:42.000000,4.5.1,56.0,transformers,conda-forge/transformers,,,\"['pytorch', 'tensorflow']\",10334.0,10206.0,https://pypi.org/project/transformers,2021-04-13 15:21:35.000000,128.0,1969772.0,1971872.0,https://anaconda.org/conda-forge/transformers,2021-04-14 06:06:28.483000,36991.0,,,,,1.0,,1306.0,,,,,,,,,,,,,,,,,,,,\n18,OpenAI Gym,openai/gym,,reinforcement-learning,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16.000000,2021-04-27 21:44:49.000000,2021-04-06 15:18:55.000000,6822,284.0,1069.0,24060,1244.0,A toolkit for developing and comparing reinforcement learning algorithms.,275.0,36,True,2020-12-19 00:29:36.000000,0.18.0,92.0,gym,,,,,23322.0,19760.0,https://pypi.org/project/gym,2020-12-19 00:29:36.000000,3562.0,471364.0,471364.0,,,,,,,,1.0,1.0,,,,,,,,,,,,,,,,,,,,,\n19,Airflow,apache/airflow,,data-pipelines,https://github.com/apache/airflow,https://github.com/apache/airflow,Apache-2.0,2015-04-13 18:04:58.000000,2021-04-29 15:20:46.000000,2021-04-29 15:06:06.000000,8352,956.0,2408.0,21545,12247.0,\"Platform to programmatically author, schedule, and monitor workflows.\",1848.0,36,True,2021-04-19 21:11:50.000000,2.0.2,75.0,apache-airflow,conda-forge/airflow,apache/airflow,,,294.0,,https://pypi.org/project/apache-airflow,2021-04-19 20:59:24.000000,294.0,1764398.0,2034067.0,https://anaconda.org/conda-forge/airflow,2021-04-20 10:47:28.101000,312878.0,https://hub.docker.com/r/apache/airflow,2021-04-28 18:57:32.837814,235.0,18810032.0,1.0,,119948.0,stable/airflow,,,,,,,,,,,,,,,,,,,\n20,LightGBM,microsoft/LightGBM,,ml-frameworks,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000000,2021-04-29 03:58:33.000000,2021-04-29 02:11:08.000000,3268,119.0,2124.0,12466,2474.0,\"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..\",221.0,36,True,2021-04-12 23:03:24.000000,3.2.1,25.0,lightgbm,conda-forge/lightgbm,,,,7244.0,6688.0,https://pypi.org/project/lightgbm,2021-03-22 15:04:09.000000,556.0,3704720.0,3719594.0,https://anaconda.org/conda-forge/lightgbm,2021-04-20 13:04:15.819000,567157.0,,,,,1.0,,109053.0,,,,,,,,,,,,,,,,,,,,\n21,gensim,RaRe-Technologies/gensim,,nlp,https://github.com/RaRe-Technologies/gensim,https://github.com/RaRe-Technologies/gensim,LGPL-2.1,2011-02-10 07:43:04.000000,2021-04-29 06:39:17.000000,2021-04-29 06:39:14.000000,3950,358.0,1290.0,12002,4144.0,Topic Modelling for Humans.,394.0,36,True,2021-04-01 14:19:26.000000,4.0.1,85.0,gensim,conda-forge/gensim,,,,27605.0,22863.0,https://pypi.org/project/gensim,2021-03-25 13:43:34.000000,4742.0,8793047.0,8807969.0,https://anaconda.org/conda-forge/gensim,2021-04-02 10:56:03.560000,639520.0,,,,,1.0,,3304.0,,,,,,,,,,,,,,,,,,,,\n22,Plotly,plotly/plotly.py,,data-viz,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000000,2021-04-29 13:45:14.000000,2021-04-29 00:02:50.000000,1791,865.0,1077.0,9391,4948.0,The interactive graphing library for Python (includes Plotly Express).,167.0,36,True,2021-01-12 17:01:21.000000,4.14.3,265.0,plotly,conda-forge/plotly,,,,4991.0,5.0,https://pypi.org/project/plotly,2021-01-12 16:12:40.000000,4982.0,5276925.0,5407446.0,https://anaconda.org/conda-forge/plotly,2021-01-12 17:11:42.117000,1345257.0,,,,,1.0,,,,plotlywidget,https://www.npmjs.com/package/plotlywidget,2021-01-12 16:09:46.133000,4.0,106499.0,,,,,,,,,,,,,,\n23,torchvision,pytorch/vision,,image,https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000000,2021-04-29 12:53:45.000000,2021-04-28 22:18:58.000000,4524,442.0,1227.0,8961,1663.0,\"Datasets, Transforms and Models specific to Computer Vision.\",381.0,36,True,2021-03-25 17:51:25.000000,0.9.1,23.0,torchvision,conda-forge/torchvision,,,['pytorch'],52876.0,48264.0,https://pypi.org/project/torchvision,2021-03-25 16:28:06.000000,4612.0,1460011.0,1461376.0,https://anaconda.org/conda-forge/torchvision,2021-04-22 07:21:30.407000,54635.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n24,Arrow,apache/arrow,,data-containers,https://github.com/apache/arrow,https://github.com/apache/arrow,Apache-2.0,2016-02-17 08:00:23.000000,2021-04-29 15:01:15.000000,2021-04-29 14:08:34.000000,1885,157.0,587.0,7823,9127.0,Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-..,670.0,36,True,2021-01-26 01:05:45.000000,3.0.0,31.0,pyarrow,conda-forge/arrow,,,,1026.0,40.0,https://pypi.org/project/pyarrow,2021-04-26 21:13:42.000000,986.0,24246585.0,24255925.0,https://anaconda.org/conda-forge/arrow,2021-04-28 01:14:17.024000,551071.0,,,,,1.0,1.0,,,,,,,,,,,,,,,,,,,,,\n25,Tensorboard,tensorflow/tensorboard,,ml-experiments,https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000000,2021-04-29 13:18:56.000000,2021-04-29 13:18:56.000000,1379,550.0,963.0,5385,4459.0,TensorFlow's Visualization Toolkit.,257.0,36,True,2021-04-19 18:42:18.000000,2.5.0,37.0,tensorboard,conda-forge/tensorboard,,,['tensorflow'],65718.0,62104.0,https://pypi.org/project/tensorboard,2021-01-14 20:49:19.000000,3614.0,9098998.0,9145832.0,https://anaconda.org/conda-forge/tensorboard,2021-01-15 08:30:57.960000,1920229.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n26,joblib,joblib/joblib,,data-pipelines,https://github.com/joblib/joblib,https://github.com/joblib/joblib,BSD-3-Clause,2010-05-07 06:48:26.000000,2021-04-09 10:22:50.000000,2021-04-02 12:08:27.000000,286,291.0,358.0,2424,1370.0,Computing with Python functions.,99.0,36,True,2021-02-09 16:46:29.000000,1.0.1,100.0,joblib,conda-forge/joblib,,,,103773.0,97163.0,https://pypi.org/project/joblib,2021-02-09 16:46:29.000000,6610.0,28369326.0,28437508.0,https://anaconda.org/conda-forge/joblib,2021-02-09 19:26:28.194000,3886409.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n27,h5py,h5py/h5py,,data-containers,https://github.com/h5py/h5py,https://github.com/h5py/h5py,BSD-3-Clause,2012-09-21 00:40:02.000000,2021-04-28 16:47:25.000000,2021-04-28 16:45:14.000000,399,217.0,980.0,1512,3623.0,HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.,162.0,36,True,2021-03-05 10:04:46.000000,3.2.1,27.0,h5py,conda-forge/h5py,,,,135168.0,112232.0,https://pypi.org/project/h5py,2021-03-05 10:24:13.000000,22936.0,9154031.0,9237226.0,https://anaconda.org/conda-forge/h5py,2021-04-16 22:09:04.226000,5073614.0,,,,,1.0,,1031.0,,,,,,,,,,,,,,,,,,,,\n28,dash,plotly/dash,,data-viz,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000000,2021-04-28 00:44:28.000000,2021-04-08 21:29:36.000000,1453,418.0,572.0,14407,3544.0,\"Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.\",74.0,35,True,2021-04-08 22:35:48.000000,1.20.0,137.0,dash,conda-forge/dash,,,,21388.0,19780.0,https://pypi.org/project/dash,2021-01-19 23:50:28.000000,1608.0,448697.0,455672.0,https://anaconda.org/conda-forge/dash,2021-04-10 06:31:33.446000,244136.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n29,nltk,nltk/nltk,,nlp,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58.000000,2021-04-26 01:04:51.000000,2021-04-26 01:04:51.000000,2467,235.0,1246.0,9827,,Suite of libraries and programs for symbolic and statistical natural language processing for English.,395.0,35,True,2021-04-07 21:36:50.000000,3.6.1,41.0,nltk,conda-forge/nltk,,,,118780.0,97788.0,https://pypi.org/project/nltk,2021-04-07 21:36:50.000000,20992.0,13188413.0,13200598.0,https://anaconda.org/conda-forge/nltk,2021-04-20 15:34:03.018000,682363.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n30,networkx,networkx/networkx,,graph,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44.000000,2021-04-28 00:09:40.000000,2021-04-26 05:53:03.000000,2286,286.0,2342.0,8998,,Network Analysis in Python.,508.0,35,True,2021-04-03 22:22:02.000000,2.5.1,53.0,networkx,conda-forge/networkx,,,,93777.0,72959.0,https://pypi.org/project/networkx,2021-04-03 22:22:02.000000,20818.0,12778512.0,12843188.0,https://anaconda.org/conda-forge/networkx,2021-04-04 01:32:23.917000,3492551.0,,,,,1.0,,51.0,,,,,,,,,,,,,,,,,,,,\n31,SymPy,sympy/sympy,,others,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000000,2021-04-29 12:32:37.000000,2021-04-29 08:55:00.000000,3371,4150.0,7305.0,8035,46756.0,A computer algebra system written in pure Python.,1061.0,35,True,2021-04-09 22:38:24.000000,sympy-1.8,37.0,sympy,conda-forge/sympy,,,,37613.0,31191.0,https://pypi.org/project/sympy,2021-04-09 22:41:01.000000,6422.0,1018680.0,1047489.0,https://anaconda.org/conda-forge/sympy,2021-04-10 01:00:41.286000,1431854.0,,,,,1.0,,422357.0,,,,,,,,,,,,,,,,,,,,\n32,MXNet,apache/incubator-mxnet,,ml-frameworks,https://github.com/apache/incubator-mxnet,https://github.com/apache/incubator-mxnet,Apache-2.0,2015-04-30 16:21:15.000000,2021-04-29 13:38:12.000000,2021-04-29 10:30:31.000000,6827,1888.0,7607.0,19431,11581.0,\"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..\",957.0,34,True,2021-03-21 14:56:00.000000,1.8.0,980.0,mxnet,mxnet,,,['mxnet'],2431.0,1987.0,https://pypi.org/project/mxnet,2021-03-31 20:05:38.000000,444.0,245919.0,246473.0,https://anaconda.org/anaconda/mxnet,2020-02-29 00:58:31.007000,6098.0,,,,,2.0,,23744.0,,,,,,,0.0,,,,,,,,,,,,,\n33,luigi,spotify/luigi,,data-pipelines,https://github.com/spotify/luigi,https://github.com/spotify/luigi,Apache-2.0,2012-09-20 15:06:38.000000,2021-04-22 13:15:18.000000,2021-04-16 07:52:49.000000,2246,73.0,842.0,14482,3993.0,\"Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution,..\",556.0,34,True,2021-04-16 09:12:59.000000,3.0.3,72.0,luigi,luigi,,,,2078.0,1402.0,https://pypi.org/project/luigi,2020-09-23 11:57:12.000000,676.0,833957.0,834070.0,https://anaconda.org/anaconda/luigi,2021-04-17 18:49:18.708000,7016.0,,,,,1.0,,,stable/luigi,,,,,,0.0,,,,,,,,,,,,,\n34,shap,slundberg/shap,,interpretability,https://github.com/slundberg/shap,https://github.com/slundberg/shap,MIT,2016-11-22 19:17:08.000000,2021-04-29 12:11:05.706000,2021-04-06 00:10:26.000000,1811,1022.0,519.0,12463,1927.0,A game theoretic approach to explain the output of any machine learning model.,156.0,34,True,2021-03-03 18:38:33.000000,0.39.0,93.0,shap,conda-forge/shap,,,,2558.0,2422.0,https://pypi.org/project/shap,2021-01-15 21:02:34.000000,136.0,2788018.0,2802567.0,https://anaconda.org/conda-forge/shap,2021-04-29 12:11:05.706000,465583.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n35,onnx,onnx/onnx,,model-serialisation,https://github.com/onnx/onnx,https://github.com/onnx/onnx,Apache-2.0,2017-09-07 04:53:45.000000,2021-04-29 12:31:23.000000,2021-04-28 17:02:00.000000,1893,540.0,1020.0,10246,1733.0,Open standard for machine learning interoperability.,197.0,34,True,2021-04-19 19:22:57.000000,1.9.0,21.0,onnx,conda-forge/onnx,,,,3254.0,2958.0,https://pypi.org/project/onnx,2021-04-19 19:22:57.000000,296.0,1415815.0,1421570.0,https://anaconda.org/conda-forge/onnx,2021-04-19 16:03:25.171000,224232.0,,,,,1.0,,12019.0,,,,,,,,,,,,,,,,,,,,\n36,Theano,Theano/Theano,,ml-frameworks,https://github.com/Theano/Theano,https://github.com/Theano/Theano,BSD-3-Clause,2011-08-10 03:48:06.000000,2021-04-29 07:32:59.000000,2021-04-13 19:05:58.000000,2517,673.0,2084.0,9403,28126.0,\"Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-..\",384.0,34,True,2020-07-27 16:13:54.000000,1.0.5,45.0,theano,conda-forge/theano,,,,16286.0,10812.0,https://pypi.org/project/theano,2020-07-27 16:13:54.000000,5474.0,294289.0,320227.0,https://anaconda.org/conda-forge/theano,2021-01-21 21:14:21.756000,1478500.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n37,pydeck,visgl/deck.gl,,geospatial-data,https://github.com/visgl/deck.gl,https://github.com/visgl/deck.gl,MIT,2015-12-15 08:38:29.000000,2021-04-29 01:09:16.000000,2021-04-29 00:34:17.000000,1534,84.0,2022.0,8637,3604.0,WebGL2 powered geospatial visualization layers.,159.0,34,True,2021-04-13 02:26:45.000000,0.6.2,463.0,pydeck,conda-forge/pydeck,,,['jupyter'],2106.0,1544.0,https://pypi.org/project/pydeck,2021-04-13 02:26:45.000000,2.0,222972.0,443283.0,https://anaconda.org/conda-forge/pydeck,2021-04-13 20:41:22.066000,27304.0,,,,,1.0,1.0,,,deck.gl,https://www.npmjs.com/package/deck.gl,2021-03-22 21:45:34.518000,560.0,218361.0,,,,,,,,,,,,,,\n38,dask,dask/dask,,distributed-ml,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000000,2021-04-29 10:16:50.000000,2021-04-28 00:41:22.000000,1267,750.0,2996.0,8260,,Parallel computing with task scheduling.,444.0,34,True,2021-04-23 19:06:45.000000,2021.4.1,116.0,dask,conda-forge/dask,,,,30941.0,27025.0,https://pypi.org/project/dask,2021-04-23 19:06:45.000000,3916.0,4469999.0,4526076.0,https://anaconda.org/conda-forge/dask,2021-04-24 02:17:38.124000,3308594.0,,,,,1.0,,,stable/dask,,,,,,,,,,,,,,,,,,,\n39,rq,rq/rq,,data-pipelines,https://github.com/rq/rq,https://github.com/rq/rq,BSD-3-Clause,2011-11-14 10:53:48.000000,2021-04-20 09:05:26.000000,2021-04-20 09:05:26.000000,1214,144.0,697.0,7670,1562.0,Simple job queues for Python.,234.0,34,True,2020-11-29 09:48:18.000000,1.7.0,63.0,rq,conda-forge/rq,,,,11148.0,7824.0,https://pypi.org/project/rq,2020-11-29 09:47:08.000000,3324.0,489497.0,490380.0,https://anaconda.org/conda-forge/rq,2021-03-31 04:46:34.734000,50353.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n40,scikit-image,scikit-image/scikit-image,,image,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,BSD-2-Clause,2011-07-07 22:07:20.000000,2021-04-28 23:37:56.000000,2021-04-27 00:39:47.000000,1776,674.0,1522.0,4310,,Image processing in Python.,487.0,34,True,2021-01-19 08:17:34.000000,0.18.1,35.0,scikit-image,conda-forge/scikit-image,,,,81686.0,66912.0,https://pypi.org/project/scikit-image,2020-12-23 06:36:46.000000,14774.0,5059036.0,5100006.0,https://anaconda.org/conda-forge/scikit-image,2021-01-21 20:53:16.554000,2417249.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n41,TensorFlow Datasets,tensorflow/datasets,,data-loading,https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000000,2021-04-29 15:16:28.000000,2021-04-29 15:00:07.000000,995,438.0,561.0,2789,3927.0,\"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...\",200.0,34,True,2021-01-07 09:50:58.000000,4.2.0,21.0,tensorflow-datasets,,,,['tensorflow'],4568.0,4466.0,https://pypi.org/project/tensorflow-datasets,2021-01-07 09:50:58.000000,102.0,4842329.0,4842329.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n42,Shapely,Toblerity/Shapely,,geospatial-data,https://github.com/Toblerity/Shapely,https://github.com/Toblerity/Shapely,BSD-3-Clause,2011-12-31 19:43:11.000000,2021-04-27 22:27:07.000000,2021-04-27 22:27:07.000000,397,124.0,613.0,2248,1512.0,Manipulation and analysis of geometric objects.,114.0,34,True,2020-12-15 18:27:01.000000,1.7.1,100.0,shapely,conda-forge/shapely,,,,23691.0,18233.0,https://pypi.org/project/shapely,2021-03-04 00:27:13.000000,5458.0,4048858.0,4083597.0,https://anaconda.org/conda-forge/shapely,2021-03-05 11:50:12.482000,2292778.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n43,PyFlink,apache/flink,,ml-frameworks,https://github.com/apache/flink,https://github.com/apache/flink,Apache-2.0,2014-06-07 07:00:10.000000,2021-04-29 13:56:35.000000,2021-04-29 13:49:35.000000,8725,499.0,,16099,26788.0,Apache Flink Python API.,1254.0,33,True,2021-04-29 13:21:18.000000,1.13.0,16.0,apache-flink,,,,,279.0,279.0,https://pypi.org/project/apache-flink,2021-04-29 13:21:18.000000,0.0,7965.0,7965.0,,,,,,,,2.0,-1.0,,,,,,,,,,,,,,,,,,,,,\n44,Bokeh,bokeh/bokeh,,data-viz,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000000,2021-04-29 13:50:37.000000,2021-04-29 11:49:31.000000,3689,668.0,5875.0,15039,,\"Interactive Data Visualization in the browser, from Python.\",558.0,33,True,2021-02-24 19:44:29.000000,2.3.0,93.0,bokeh,conda-forge/bokeh,,,,39073.0,33201.0,https://pypi.org/project/bokeh,2021-04-06 23:56:28.000000,5872.0,1442553.0,1532132.0,https://anaconda.org/conda-forge/bokeh,2021-04-08 12:17:48.640000,4299797.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n45,pytorch-lightning,PyTorchLightning/pytorch-lightning,,ml-frameworks,https://github.com/PyTorchLightning/pytorch-lightning,https://github.com/PyTorchLightning/pytorch-lightning,Apache-2.0,2019-03-31 00:45:57.000000,2021-04-29 14:02:56.000000,2021-04-29 12:40:51.000000,1554,320.0,2970.0,13230,4806.0,\"The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.\",439.0,33,True,2021-04-23 09:09:15.000000,1.2.10,164.0,pytorch-lightning,conda-forge/pytorch-lightning,,,['pytorch'],2761.0,2747.0,https://pypi.org/project/pytorch-lightning,2021-04-22 21:08:16.000000,14.0,376942.0,388675.0,https://anaconda.org/conda-forge/pytorch-lightning,2021-04-27 13:23:26.579000,116289.0,,,,,2.0,,2220.0,,,,,,,,,,,,,,,,,,,,\n46,mlflow,mlflow/mlflow,,ml-experiments,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000000,2021-04-29 12:57:24.000000,2021-04-29 04:51:00.000000,1993,772.0,1070.0,9132,1975.0,Open source platform for the machine learning lifecycle.,286.0,33,True,2021-04-27 02:13:55.000000,1.16.0,44.0,mlflow,conda-forge/mlflow,,,,154.0,,https://pypi.org/project/mlflow,2021-04-26 23:21:32.000000,154.0,4758696.0,4770733.0,https://anaconda.org/conda-forge/mlflow,2021-04-27 09:39:10.303000,288891.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n47,StatsModels,statsmodels/statsmodels,,ml-frameworks,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000000,2021-04-28 16:09:02.000000,2021-04-28 16:09:02.000000,2202,2088.0,2309.0,6258,,Statsmodels: statistical modeling and econometrics in Python.,312.0,33,True,2021-02-02 11:08:49.000000,0.12.2,25.0,statsmodels,conda-forge/statsmodels,,,,47901.0,41245.0,https://pypi.org/project/statsmodels,2021-02-02 11:08:49.000000,6656.0,4106803.0,4173737.0,https://anaconda.org/conda-forge/statsmodels,2021-02-15 17:38:00.380000,3882185.0,,,,,2.0,,25.0,,,,,,,,,,,,,,,,,,,,\n48,geopy,geopy/geopy,,geospatial-data,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000000,2021-04-17 15:53:21.000000,2021-04-17 15:44:06.000000,535,25.0,223.0,3299,1061.0,Geocoding library for Python.,122.0,33,True,2020-12-27 13:15:23.000000,2.1.0,57.0,geopy,conda-forge/geopy,,,,27007.0,19763.0,https://pypi.org/project/geopy,2020-12-27 13:12:21.000000,7244.0,4438582.0,4447402.0,https://anaconda.org/conda-forge/geopy,2020-12-27 14:22:55.127000,538032.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n49,xarray,pydata/xarray,,data-containers,https://github.com/pydata/xarray,https://github.com/pydata/xarray,Apache-2.0,2013-09-30 17:21:10.000000,2021-04-29 14:25:14.000000,2021-04-27 07:00:07.000000,654,818.0,2016.0,2009,3631.0,N-D labeled arrays and datasets in Python.,312.0,33,True,2021-02-26 06:45:07.000000,0.17.0,56.0,xarray,conda-forge/xarray,,,,7105.0,5973.0,https://pypi.org/project/xarray,2021-02-26 06:36:47.000000,1132.0,519519.0,564612.0,https://anaconda.org/conda-forge/xarray,2021-02-26 13:38:06.610000,2750680.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n50,xlrd,python-excel/xlrd,,data-loading,https://github.com/python-excel/xlrd,https://github.com/python-excel/xlrd,BSD-3-Clause,2012-03-07 04:50:48.000000,2021-01-09 20:35:27.639000,2020-12-12 15:24:25.000000,414,3.0,,1884,502.0,Please use openpyxl where you can...,50.0,33,True,2020-12-11 10:14:20.000000,2.0.1,24.0,xlrd,conda-forge/xlrd,,,,83571.0,69997.0,https://pypi.org/project/xlrd,2020-12-11 10:14:20.000000,13574.0,9400802.0,9428445.0,https://anaconda.org/conda-forge/xlrd,2021-01-09 20:35:27.639000,1354555.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n51,Fastai,fastai/fastai,,ml-frameworks,https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000000,2021-04-29 06:50:14.000000,2021-04-29 06:50:14.000000,6982,92.0,1350.0,20801,1721.0,The fastai deep learning library.,472.0,32,True,2021-03-31 06:04:10.000000,2.3.0,118.0,fastai,,,,['pytorch'],368.0,,https://pypi.org/project/fastai,2021-02-22 04:01:38.000000,368.0,204120.0,204120.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n52,Ray,ray-project/ray,,distributed-ml,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000000,2021-04-29 14:26:39.000000,2021-04-29 08:14:34.000000,2566,1525.0,5163.0,15770,7926.0,\"An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged..\",472.0,32,True,2021-04-22 22:28:01.000000,ray-1.3.0,45.0,ray,,,,,2156.0,1996.0,https://pypi.org/project/ray,2021-04-22 20:25:11.000000,160.0,391361.0,391361.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n53,jax,google/jax,,ml-frameworks,https://github.com/google/jax,https://github.com/google/jax,Apache-2.0,2018-10-25 21:25:02.000000,2021-04-29 10:45:09.000000,2021-04-29 09:11:09.000000,1095,782.0,1569.0,12490,7792.0,\"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.\",278.0,32,True,2021-04-01 17:46:34.000000,0.2.12,91.0,jax,conda-forge/jaxlib,,,,1518.0,1472.0,https://pypi.org/project/jax,2021-04-01 17:46:34.000000,46.0,202066.0,207322.0,https://anaconda.org/conda-forge/jaxlib,2021-04-08 04:28:56.615000,110387.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n54,tensor2tensor,tensorflow/tensor2tensor,,tensorflow-utils,https://github.com/tensorflow/tensor2tensor,https://github.com/tensorflow/tensor2tensor,Apache-2.0,2017-06-15 16:57:39.000000,2021-04-12 06:43:52.000000,2021-03-05 08:15:30.000000,2848,556.0,666.0,11218,4348.0,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,231.0,32,True,2020-06-17 16:15:36.000000,1.15.7,79.0,tensor2tensor,,,,['tensorflow'],1126.0,962.0,https://pypi.org/project/tensor2tensor,2020-06-17 16:15:36.000000,164.0,92377.0,92377.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n55,imgaug,aleju/imgaug,,image,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33.000000,2021-04-15 01:52:46.000000,2020-06-01 14:58:26.000000,2017,229.0,211.0,11033,2913.0,Image augmentation for machine learning experiments.,36.0,32,True,2020-02-06 06:18:40.000000,0.4.0,11.0,imgaug,conda-forge/imgaug,,,,6645.0,6089.0,https://pypi.org/project/imgaug,2020-02-05 20:54:22.000000,556.0,267637.0,269410.0,https://anaconda.org/conda-forge/imgaug,2020-02-14 16:06:53.525000,39025.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n56,dlib,davisking/dlib,,ml-frameworks,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000000,2021-04-28 12:06:17.000000,2021-04-28 12:05:22.000000,2903,58.0,1855.0,10113,7935.0,A toolkit for making real world machine learning and data analysis applications in C++.,166.0,32,False,2021-03-28 13:36:18.000000,19.22,28.0,dlib,conda-forge/dlib,,,,10786.0,9428.0,https://pypi.org/project/dlib,2020-12-04 19:23:04.000000,1358.0,117939.0,123794.0,https://anaconda.org/conda-forge/dlib,2021-04-03 09:47:47.788000,302814.0,,,,,2.0,,24510.0,,,,,,,,,,,,,,,,,,,,\n57,AllenNLP,allenai/allennlp,,nlp,https://github.com/allenai/allennlp,https://github.com/allenai/allennlp,Apache-2.0,2017-05-15 15:52:41.000000,2021-04-29 13:02:51.000000,2021-04-27 22:34:10.000000,2032,109.0,2238.0,9956,2357.0,\"An open-source NLP research library, built on PyTorch.\",240.0,32,True,2021-04-23 00:15:51.000000,2.4.0,190.0,allennlp,,,,['pytorch'],1842.0,1608.0,https://pypi.org/project/allennlp,2021-04-23 00:31:09.000000,234.0,38950.0,38950.0,,,,,,,,1.0,,37.0,,,,,,,,,,,,,,,,,,,,\n58,PyMC3,pymc-devs/pymc3,,probabilistics,https://github.com/pymc-devs/pymc3,https://github.com/pymc-devs/pymc3,Apache-2.0,2009-05-05 09:43:50.000000,2021-04-26 09:27:45.000000,2021-04-05 13:26:07.000000,1371,193.0,2041.0,5714,7691.0,Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara.,312.0,32,True,2021-03-14 22:31:10.000000,3.11.2,33.0,pymc3,conda-forge/pymc3,,,,2674.0,2388.0,https://pypi.org/project/pymc3,2021-03-14 22:31:10.000000,286.0,203484.0,208549.0,https://anaconda.org/conda-forge/pymc3,2021-03-15 13:12:28.868000,273459.0,,,,,1.0,,155.0,,,,,,,,,,,,,,,,,,,,\n59,folium,python-visualization/folium,,geospatial-data,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000000,2021-04-26 04:54:37.000000,2021-03-09 08:53:19.000000,1944,159.0,695.0,5244,1474.0,Python Data. Leaflet.js Maps.,121.0,32,True,2021-01-18 17:29:40.000000,0.12.1,25.0,folium,conda-forge/folium,,,,10625.0,9657.0,https://pypi.org/project/folium,2021-01-18 17:29:40.000000,968.0,422637.0,428436.0,https://anaconda.org/conda-forge/folium,2021-03-12 17:41:57.124000,353763.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n60,CuPy,cupy/cupy,,gpu-utilities,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000000,2021-04-29 09:28:02.729362,2021-04-29 09:21:33.000000,456,332.0,1016.0,5090,21742.0,A NumPy-compatible array library accelerated by CUDA.,262.0,32,True,2021-04-22 05:59:48.000000,9.0.0,92.0,cupy,conda-forge/cupy,cupy/cupy,,,914.0,722.0,https://pypi.org/project/cupy,2021-04-22 01:30:04.000000,192.0,88775.0,120175.0,https://anaconda.org/conda-forge/cupy,2021-04-23 16:47:47.389000,542864.0,https://hub.docker.com/r/cupy/cupy,2021-04-29 09:28:02.729362,6.0,49878.0,1.0,,15031.0,,,,,,,,,,,,,,,,,,,,\n61,Beam,apache/beam,,data-pipelines,https://github.com/apache/beam,https://github.com/apache/beam,Apache-2.0,2016-02-02 08:00:06.000000,2021-04-29 13:00:20.000000,2021-04-29 07:16:18.000000,2978,147.0,,4749,31841.0,\"Unified programming model to define and execute data processing pipelines, including ETL, batch and stream processing.\",1048.0,32,True,2021-02-22 21:19:14.000000,2.28.0,33.0,apache-beam,,,,,186.0,,https://pypi.org/project/apache-beam,2021-04-27 17:14:41.000000,186.0,2476171.0,2476171.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n62,Optuna,optuna/optuna,,hyperopt,https://github.com/optuna/optuna,https://github.com/optuna/optuna,MIT,2018-02-21 06:12:56.000000,2021-04-29 10:05:56.000000,2021-04-28 06:10:40.000000,495,188.0,612.0,4489,9831.0,A hyperparameter optimization framework.,134.0,32,True,2021-04-05 03:39:39.000000,2.7.0,37.0,optuna,conda-forge/optuna,,,,1275.0,1223.0,https://pypi.org/project/optuna,2021-04-05 03:39:39.000000,52.0,462266.0,463713.0,https://anaconda.org/conda-forge/optuna,2021-04-05 06:39:55.179000,24615.0,,,,,1.0,1.0,,,,,,,,,,,,,,,,,,,,,\n63,xmltodict,martinblech/xmltodict,,data-loading,https://github.com/martinblech/xmltodict,https://github.com/martinblech/xmltodict,MIT,2012-04-17 14:38:21.000000,2021-02-08 17:46:25.000000,2020-04-26 05:15:03.000000,420,70.0,136.0,4371,205.0,Python module that makes working with XML feel like you are working with JSON.,41.0,32,True,2019-02-11 07:00:26.000000,0.12.0,27.0,xmltodict,conda-forge/xmltodict,,,,32453.0,24219.0,https://pypi.org/project/xmltodict,2019-02-11 07:00:26.000000,8234.0,8764645.0,8779538.0,https://anaconda.org/conda-forge/xmltodict,2019-02-11 11:53:14.803000,834009.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n64,Tablib,jazzband/tablib,,data-loading,https://github.com/jazzband/tablib,https://github.com/jazzband/tablib,MIT,2011-03-28 02:36:50.000000,2021-03-01 12:38:44.000000,2021-03-01 12:38:44.000000,565,33.0,198.0,3894,1124.0,\"Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c.\",111.0,32,True,2020-12-05 14:56:28.000000,3.0.0,38.0,tablib,conda-forge/tablib,,,,12463.0,10105.0,https://pypi.org/project/tablib,2020-12-05 14:56:28.000000,2358.0,1066124.0,1067274.0,https://anaconda.org/conda-forge/tablib,2020-12-05 16:40:48.469000,60968.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n65,tensorflow-probability,tensorflow/probability,,probabilistics,https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000000,2021-04-28 22:49:21.000000,2021-04-28 22:49:09.000000,881,457.0,570.0,3287,10515.0,Probabilistic reasoning and statistical analysis in TensorFlow.,408.0,32,True,2021-04-19 23:03:58.000000,0.12.2,36.0,tensorflow-probability,conda-forge/tensorflow-probability,,,['tensorflow'],253.0,1.0,https://pypi.org/project/tensorflow-probability,2020-12-29 17:46:08.000000,252.0,746035.0,747358.0,https://anaconda.org/conda-forge/tensorflow-probability,2021-04-20 17:30:23.517000,34421.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n66,tensorflow-hub,tensorflow/hub,,tensorflow-utils,https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42.000000,2021-04-28 07:53:22.000000,2021-04-28 07:53:20.000000,1496,34.0,542.0,2792,876.0,A library for transfer learning by reusing parts of TensorFlow models.,69.0,32,True,2021-04-14 13:17:26.000000,0.12.0,15.0,tensorflow-hub,conda-forge/tensorflow-hub,,,['tensorflow'],6676.0,6362.0,https://pypi.org/project/tensorflow-hub,2021-04-14 12:54:13.000000,314.0,1675101.0,1676627.0,https://anaconda.org/conda-forge/tensorflow-hub,2021-04-18 18:01:14.779000,51912.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n67,GeoPandas,geopandas/geopandas,,geospatial-data,https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000000,2021-04-29 08:40:01.000000,2021-04-29 08:40:01.000000,560,302.0,728.0,2589,1379.0,Python tools for geographic data.,136.0,32,True,2021-02-28 21:10:46.000000,0.9.0,37.0,geopandas,conda-forge/geopandas,,,['pandas'],9362.0,8196.0,https://pypi.org/project/geopandas,2021-02-28 21:10:43.000000,1166.0,997441.0,1013168.0,https://anaconda.org/conda-forge/geopandas,2021-03-01 09:07:56.799000,958352.0,,,,,2.0,,994.0,,,,,,,,,,,,,,,,,,,,\n68,Thinc,explosion/thinc,,ml-frameworks,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59.000000,2021-04-29 10:00:22.000000,2021-04-29 09:28:58.000000,207,16.0,90.0,2275,4923.0,\"A refreshing functional take on deep learning, compatible with your favorite libraries.\",36.0,32,True,2021-04-19 13:57:59.000000,8.0.3,189.0,thinc,conda-forge/thinc,,,,13900.0,12762.0,https://pypi.org/project/thinc,2021-03-09 12:42:58.000000,1138.0,1926313.0,1950026.0,https://anaconda.org/conda-forge/thinc,2021-04-23 21:53:35.709000,1185698.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n69,python-magic,ahupp/python-magic,,data-loading,https://github.com/ahupp/python-magic,https://github.com/ahupp/python-magic,MIT,2010-03-31 22:40:33.000000,2021-04-26 03:29:02.000000,2021-04-26 03:29:02.000000,218,28.0,133.0,1878,282.0,A python wrapper for libmagic.,50.0,32,True,2021-02-17 06:19:13.000000,0.4.22,22.0,python-magic,conda-forge/python-magic,,,,18850.0,13718.0,https://pypi.org/project/python-magic,2021-02-17 06:19:13.000000,5132.0,2541163.0,2542960.0,https://anaconda.org/conda-forge/python-magic,2021-03-05 04:33:25.716000,86271.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n70,Rasterio,mapbox/rasterio,,geospatial-data,https://github.com/mapbox/rasterio,https://github.com/mapbox/rasterio,BSD-3-Clause,2013-11-04 16:36:27.000000,2021-04-28 18:52:50.000000,2021-04-28 17:21:16.000000,402,139.0,1241.0,1482,3302.0,Rasterio reads and writes geospatial raster datasets.,108.0,32,True,2021-04-27 01:33:11.000000,1.2.3,124.0,rasterio,conda-forge/rasterio,,,,3935.0,3085.0,https://pypi.org/project/rasterio,2021-04-27 01:33:11.000000,850.0,455365.0,471885.0,https://anaconda.org/conda-forge/rasterio,2021-04-07 07:47:55.368000,1007129.0,,,,,2.0,,705.0,,,,,,,,,,,,,,,,,,,,\n71,TF Addons,tensorflow/addons,,tensorflow-utils,https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17.000000,2021-04-29 12:42:10.000000,2021-04-28 18:55:28.000000,421,172.0,645.0,1270,1354.0,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,159.0,32,True,2021-01-30 13:59:33.000000,0.12.1,25.0,tensorflow-addons,,,,['tensorflow'],2865.0,2847.0,https://pypi.org/project/tensorflow-addons,2021-01-30 13:59:33.000000,18.0,1069888.0,1069888.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n72,dask.distributed,dask/distributed,,distributed-ml,https://github.com/dask/distributed,https://github.com/dask/distributed,BSD-3-Clause,2015-09-13 18:42:29.000000,2021-04-29 14:49:57.000000,2021-04-29 02:07:30.000000,525,790.0,1338.0,1180,,A distributed task scheduler for Dask.,239.0,32,True,2021-04-02 16:23:04.000000,2021.4.0,147.0,distributed,conda-forge/distributed,,,,19637.0,17859.0,https://pypi.org/project/distributed,2021-04-23 18:51:56.000000,1778.0,3309753.0,3380559.0,https://anaconda.org/conda-forge/distributed,2021-04-23 23:14:34.568000,4177568.0,,,,,1.0,1.0,,,,,,,,,,,,,,,,,,,,,\n73,imageio,imageio/imageio,,image,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000000,2021-04-26 07:11:48.000000,2021-04-26 07:11:48.000000,176,70.0,283.0,866,1146.0,Python library for reading and writing image data.,77.0,32,True,2020-07-10 07:45:22.000000,2.9.0,31.0,imageio,conda-forge/imageio,,,,44151.0,40313.0,https://pypi.org/project/imageio,2020-07-06 13:20:41.000000,3838.0,5412497.0,5449821.0,https://anaconda.org/conda-forge/imageio,2020-07-06 14:13:25.518000,1903543.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n74,PaddlePaddle,PaddlePaddle/Paddle,,ml-frameworks,https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000000,2021-04-29 13:47:04.000000,2021-04-29 12:47:24.000000,3678,2551.0,10719.0,15015,15069.0,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,535.0,31,True,2021-04-16 06:47:11.000000,2.0.2,44.0,paddlepaddle,,,,['paddle'],55.0,39.0,https://pypi.org/project/paddlepaddle,2021-03-05 07:28:12.000000,16.0,14163.0,14435.0,,,,,,,,2.0,,15274.0,,,,,,,,,,,,,,,,,,,,\n75,fairseq,pytorch/fairseq,,nlp,https://github.com/pytorch/fairseq,https://github.com/pytorch/fairseq,MIT,2017-08-29 16:26:12.000000,2021-04-29 06:23:15.000000,2021-04-29 06:23:11.000000,3022,778.0,1888.0,11954,1875.0,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,323.0,31,True,2021-01-05 20:26:45.000000,0.10.2,13.0,fairseq,,,,['pytorch'],378.0,358.0,https://pypi.org/project/fairseq,2021-01-05 20:26:45.000000,20.0,27089.0,27092.0,,,,,,,,1.0,,118.0,,,,,,,,,,,,,,,,,,,,\n76,ChatterBot,gunthercox/ChatterBot,,nlp,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00.000000,2021-04-23 07:22:33.000000,2020-08-20 21:16:14.000000,3736,251.0,1231.0,11080,1847.0,\"ChatterBot is a machine learning, conversational dialog engine for creating chat bots.\",103.0,31,True,2020-08-22 18:42:43.000000,1.0.8,86.0,chatterbot,,,,,4042.0,3362.0,https://pypi.org/project/chatterbot,2020-08-22 18:40:36.000000,680.0,22392.0,22392.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n77,wordcloud,amueller/word_cloud,,data-viz,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59.000000,2021-03-21 10:56:17.000000,2021-03-01 23:14:14.000000,2035,97.0,349.0,8030,543.0,A little word cloud generator in Python.,61.0,31,True,2020-11-11 21:41:02.000000,1.8.1,16.0,wordcloud,conda-forge/wordcloud,,,,11606.0,10502.0,https://pypi.org/project/wordcloud,2020-11-11 21:41:02.000000,1104.0,406380.0,410093.0,https://anaconda.org/conda-forge/wordcloud,2021-01-14 18:03:24.960000,207929.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n78,DVC,iterative/dvc,,ml-experiments,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000000,2021-04-29 13:59:53.000000,2021-04-29 13:59:53.000000,736,562.0,2346.0,7794,6541.0,Data Version Control | Git for Data & Models.,219.0,31,True,2021-04-15 20:21:48.000000,2.0.18,317.0,dvc,conda-forge/dvc,,,,962.0,916.0,https://pypi.org/project/dvc,2021-04-15 20:21:48.000000,46.0,155099.0,187045.0,https://anaconda.org/conda-forge/dvc,2021-04-23 03:23:11.823000,622260.0,,,,,1.0,,23158.0,,,,,,,,dvc,dvc,dvc,,,,,,,,,,\n79,Altair,altair-viz/altair,,data-viz,https://github.com/altair-viz/altair,https://github.com/altair-viz/altair,BSD-3-Clause,2015-09-19 03:14:04.000000,2021-04-10 05:43:04.000000,2021-04-04 16:59:23.000000,580,292.0,1320.0,6602,3065.0,Declarative statistical visualization library for Python.,127.0,31,True,2020-04-01 13:29:16.000000,4.1.0,26.0,altair,conda-forge/altair,,,,10720.0,10350.0,https://pypi.org/project/altair,2020-04-01 13:23:10.000000,370.0,1229155.0,1241508.0,https://anaconda.org/conda-forge/altair,2020-04-01 16:49:36.519000,704159.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n80,Prefect,PrefectHQ/prefect,,data-pipelines,https://github.com/PrefectHQ/prefect,https://github.com/PrefectHQ/prefect,Apache-2.0,2018-06-29 21:59:26.000000,2021-04-29 15:10:16.000000,2021-04-28 15:25:50.000000,570,303.0,1406.0,6157,13888.0,The easiest way to automate your data.,200.0,31,True,2021-04-27 20:59:38.000000,0.14.17,94.0,prefect,conda-forge/prefect,,,,315.0,313.0,https://pypi.org/project/prefect,2021-04-27 20:59:38.000000,2.0,77305.0,80945.0,https://anaconda.org/conda-forge/prefect,2021-04-14 22:39:12.157000,91021.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n81,Catboost,catboost/catboost,,ml-frameworks,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000000,2021-04-29 13:43:57.000000,2021-04-29 13:43:54.000000,886,324.0,1129.0,5830,15940.0,\"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..\",779.0,31,True,2021-04-05 22:23:00.000000,0.25.1,93.0,catboost,conda-forge/catboost,,,,162.0,,https://pypi.org/project/catboost,2021-04-05 22:14:25.000000,162.0,2748597.0,2768726.0,https://anaconda.org/conda-forge/catboost,2021-04-12 10:39:53.915000,660258.0,,,,,2.0,,54419.0,,,,,,,,,,,,,,,,,,,,\n82,Chainer,chainer/chainer,,ml-frameworks,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37.000000,2021-02-17 11:20:21.000000,2021-02-17 11:20:21.000000,1374,18.0,2019.0,5560,30575.0,A flexible framework of neural networks for deep learning.,318.0,31,True,2021-01-13 10:14:54.000000,7.0.0.post1,109.0,chainer,,,,,2861.0,2119.0,https://pypi.org/project/chainer,2021-01-13 09:29:55.000000,742.0,25860.0,25860.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n83,Pydub,jiaaro/pydub,,audio,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38.000000,2021-04-21 10:21:41.000000,2021-04-21 10:21:41.000000,708,178.0,245.0,5299,741.0,Manipulate audio with a simple and easy high level interface.,90.0,31,True,2021-03-10 02:10:41.000000,0.25.1,68.0,pydub,conda-forge/pydub,,,,8175.0,6821.0,https://pypi.org/project/pydub,2021-03-10 02:09:53.000000,1354.0,750956.0,751475.0,https://anaconda.org/conda-forge/pydub,2021-03-13 05:16:50.142000,14553.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n84,imbalanced-learn,scikit-learn-contrib/imbalanced-learn,,sklearn-utils,https://github.com/scikit-learn-contrib/imbalanced-learn,https://github.com/scikit-learn-contrib/imbalanced-learn,MIT,2014-08-16 05:08:26.000000,2021-04-25 18:06:22.000000,2021-04-25 18:06:22.000000,1081,34.0,427.0,5199,738.0,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,56.0,31,True,2021-02-18 14:00:33.000000,0.8.0,27.0,imbalanced-learn,conda-forge/imbalanced-learn,,,['sklearn'],5378.0,5098.0,https://pypi.org/project/imbalanced-learn,2021-02-18 13:50:00.000000,280.0,1365693.0,1368636.0,https://anaconda.org/conda-forge/imbalanced-learn,2021-02-18 15:40:00.937000,123633.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n85,sentencepiece,google/sentencepiece,,nlp,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000000,2021-04-22 23:48:11.000000,2021-04-20 02:48:37.000000,660,34.0,405.0,4999,672.0,Unsupervised text tokenizer for Neural Network-based text generation.,52.0,31,True,2021-01-10 06:29:42.000000,0.1.95,30.0,sentencepiece,conda-forge/sentencepiece,,,,7447.0,7207.0,https://pypi.org/project/sentencepiece,2021-01-10 06:29:42.000000,240.0,2126382.0,2132229.0,https://anaconda.org/conda-forge/sentencepiece,2021-02-09 05:49:50.247000,49064.0,,,,,1.0,,12688.0,,,,,,,,,,,,,,,,,,,,\n86,UMAP,lmcinnes/umap,,data-viz,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17.000000,2021-04-27 14:43:00.000000,2021-04-27 14:43:00.000000,514,240.0,249.0,4679,1398.0,Uniform Manifold Approximation and Projection.,79.0,31,True,2021-02-08 21:04:43.000000,0.5.1,35.0,umap-learn,,,,,3048.0,2822.0,https://pypi.org/project/umap-learn,2021-02-08 21:04:43.000000,226.0,462627.0,462627.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n87,opencv-python,skvark/opencv-python,,image,https://github.com/opencv/opencv-python,https://github.com/opencv/opencv-python,MIT,2016-04-08 13:36:40.000000,2021-04-29 08:13:27.000000,2020-12-28 18:40:12.000000,355,27.0,389.0,1946,749.0,\"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..\",27.0,31,True,2021-01-03 17:36:16.000000,47,48.0,opencv-python,,,,,12560.0,,https://pypi.org/project/opencv-python,2021-01-03 17:07:49.000000,12560.0,4900451.0,4900451.0,,,,,,,,2.0,,,,,,,,,,,,,opencv/opencv-python,,,,,,,,,\n88,numexpr,pydata/numexpr,,data-containers,https://github.com/pydata/numexpr,https://github.com/pydata/numexpr,MIT,2013-11-30 22:33:48.000000,2021-03-05 20:56:41.232000,2021-03-03 18:33:11.000000,166,53.0,251.0,1579,686.0,\"Fast numerical array expression evaluator for Python, NumPy, PyTables, pandas, bcolz and more.\",57.0,31,True,2021-03-03 18:13:19.000000,2.7.3,40.0,numexpr,conda-forge/numexpr,,,,5482.0,,https://pypi.org/project/numexpr,2021-03-03 18:13:19.000000,5482.0,1225916.0,1269794.0,https://anaconda.org/conda-forge/numexpr,2021-03-05 20:56:41.232000,2457168.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n89,SageMaker SDK,aws/sagemaker-python-sdk,,ml-experiments,https://github.com/aws/sagemaker-python-sdk,https://github.com/aws/sagemaker-python-sdk,Apache-2.0,2017-11-14 01:03:33.000000,2021-04-29 14:14:40.000000,2021-04-28 16:52:05.000000,617,265.0,543.0,1367,1979.0,A library for training and deploying machine learning models on Amazon SageMaker.,197.0,31,True,2021-04-28 16:52:16.000000,2.39.0,331.0,sagemaker,,,,\"['mxnet', 'tensorflow']\",707.0,679.0,https://pypi.org/project/sagemaker,2021-04-28 16:52:16.000000,28.0,803588.0,803588.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n90,pyproj,pyproj4/pyproj,,geospatial-data,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000000,2021-04-29 13:07:27.000000,2021-04-29 13:05:22.000000,150,11.0,397.0,603,1142.0,Python interface to PROJ (cartographic projections and coordinate transformations library).,40.0,31,True,2021-03-05 03:06:15.000000,3.0.1,34.0,pyproj,conda-forge/pyproj,,,,11891.0,9429.0,https://pypi.org/project/pyproj,2020-11-05 14:28:45.000000,2462.0,2426599.0,2460022.0,https://anaconda.org/conda-forge/pyproj,2021-03-05 14:16:16.093000,2139135.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n91,snowballstemmer,snowballstem/snowball,,nlp,https://github.com/snowballstem/snowball,https://github.com/snowballstem/snowball,BSD-3-Clause,2013-02-23 07:17:42.000000,2021-04-11 21:24:01.000000,2021-04-11 21:24:01.000000,137,20.0,42.0,493,852.0,Snowball compiler and stemming algorithms.,26.0,31,True,2021-01-21 11:43:00.000000,2.1.0,9.0,snowballstemmer,conda-forge/snowballstemmer,,,,61469.0,48287.0,https://pypi.org/project/snowballstemmer,2021-01-21 11:43:00.000000,13182.0,5663103.0,5706674.0,https://anaconda.org/conda-forge/snowballstemmer,2021-01-21 23:16:54.597000,2439976.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n92,jieba,fxsjy/jieba,,chinese-nlp,https://github.com/fxsjy/jieba,https://github.com/fxsjy/jieba,MIT,2012-09-29 07:52:01.000000,2020-12-05 18:32:32.000000,2020-02-15 08:33:35.000000,6175,601.0,198.0,26123,523.0,Chinese Words Segmentation Utilities.,48.0,30,False,2020-01-20 14:27:23.000000,0.42.1,32.0,jieba,conda-forge/jieba,,,,12433.0,9917.0,https://pypi.org/project/jieba,2020-01-20 14:27:23.000000,2516.0,424797.0,426354.0,https://anaconda.org/conda-forge/jieba,2020-03-25 20:57:40.090000,74770.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n93,fastText,facebookresearch/fastText,,nlp,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000000,2021-04-29 08:33:10.000000,2020-07-18 00:20:40.000000,4325,446.0,594.0,22507,379.0,Library for fast text representation and classification.,58.0,30,True,2020-04-28 09:54:50.000000,0.9.2,35.0,fasttext,conda-forge/fasttext,,,,1876.0,1686.0,https://pypi.org/project/fasttext,2020-04-28 09:54:50.000000,190.0,321887.0,322346.0,https://anaconda.org/conda-forge/fasttext,2020-10-12 14:55:45.199000,19288.0,,,,,2.0,1.0,,,,,,,,,,,,,,,,,,,,,\n94,Magenta,magenta/magenta,,audio,https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40.000000,2021-04-19 14:20:10.000000,2021-04-19 14:20:02.000000,3402,303.0,551.0,16562,1387.0,Magenta: Music and Art Generation with Machine Intelligence.,149.0,30,True,2020-11-12 19:17:18.000000,2.1.3,66.0,magenta,,,,['tensorflow'],356.0,286.0,https://pypi.org/project/magenta,2020-11-12 19:17:18.000000,70.0,6257.0,6257.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n95,zipline,quantopian/zipline,,financial-data,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29.000000,2021-04-18 22:05:29.000000,2020-10-14 16:36:49.000000,3947,339.0,649.0,13799,6226.0,\"Zipline, a Pythonic Algorithmic Trading Library.\",151.0,30,True,2020-10-05 15:46:20.429000,1.4.1,30.0,zipline,,,,,868.0,710.0,https://pypi.org/project/zipline,2020-10-05 15:46:20.429000,158.0,6848.0,6848.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n96,pyecharts,pyecharts/pyecharts,,data-viz,https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000000,2021-02-08 07:14:13.000000,2021-01-19 10:14:13.000000,2407,38.0,1378.0,10893,1512.0,Python Echarts Plotting Library.,30.0,30,True,2020-10-29 15:14:08.000000,1.9.0,66.0,pyecharts,,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,['jupyter'],1871.0,1589.0,https://pypi.org/project/pyecharts,2020-10-29 15:14:08.000000,282.0,46312.0,46312.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n97,flair,flairNLP/flair,,nlp,https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,MIT,2018-06-11 11:04:18.000000,2021-04-29 12:50:24.000000,2021-04-27 06:59:53.000000,1538,104.0,1424.0,10279,3316.0,A very simple framework for state-of-the-art Natural Language Processing (NLP).,197.0,30,True,2021-03-05 11:57:03.000000,0.8,21.0,flair,,,,['pytorch'],772.0,724.0,https://pypi.org/project/flair,2021-03-08 23:08:40.000000,48.0,59811.0,59811.0,,,,,,,,2.0,-1.0,,,,,,,,,,,,,,,,,,,,,\n98,TFlearn,tflearn/tflearn,,ml-frameworks,https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,MIT,2016-03-31 12:05:53.000000,2021-01-25 09:41:59.000000,2020-11-30 04:34:51.000000,2429,563.0,361.0,9532,613.0,Deep learning library featuring a higher-level API for TensorFlow.,128.0,30,True,2020-11-11 19:26:11.000000,0.5.0,8.0,tflearn,,,,['tensorflow'],4157.0,3195.0,https://pypi.org/project/tflearn,2020-11-11 19:13:47.000000,962.0,17326.0,17326.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n99,Annoy,spotify/annoy,,nn-search,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40.000000,2021-03-01 19:06:27.000000,2020-12-03 18:21:18.000000,903,37.0,270.0,8423,785.0,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,68.0,30,True,2020-09-18 16:07:59.000000,1.17.0,43.0,annoy,,,,,1910.0,1550.0,https://pypi.org/project/annoy,2020-09-18 16:07:59.000000,360.0,584367.0,584367.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n100,fuzzywuzzy,seatgeek/fuzzywuzzy,,nlp,https://github.com/seatgeek/fuzzywuzzy,https://github.com/seatgeek/fuzzywuzzy,GPL-2.0,2011-07-08 19:32:34.000000,2021-04-20 16:08:59.000000,2021-02-20 06:36:20.000000,826,97.0,99.0,8038,381.0,Fuzzy String Matching in Python.,68.0,30,False,2020-02-13 22:14:12.000000,0.18.0,27.0,fuzzywuzzy,conda-forge/fuzzywuzzy,,,,11799.0,8593.0,https://pypi.org/project/fuzzywuzzy,2020-02-13 21:06:25.000000,3206.0,4881912.0,4887088.0,https://anaconda.org/conda-forge/fuzzywuzzy,2020-11-18 12:59:01.409000,295059.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n101,TextBlob,sloria/TextBlob,,nlp,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18.000000,2021-04-28 16:45:03.000000,2021-04-16 12:24:30.000000,995,85.0,150.0,7641,535.0,\"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..\",34.0,30,True,2019-02-24 23:03:17.000000,0.15.3,55.0,textblob,conda-forge/textblob,,,,14123.0,11631.0,https://pypi.org/project/textblob,2019-02-24 23:03:17.000000,2492.0,469097.0,471220.0,https://anaconda.org/conda-forge/textblob,2019-02-24 23:32:55.233000,118925.0,,,,,2.0,,90.0,,,,,,,,,,,,,,,,,,,,\n102,glfw,glfw/glfw,,image,https://github.com/glfw/glfw,https://github.com/glfw/glfw,Zlib,2013-04-18 15:24:53.000000,2021-04-25 16:41:13.000000,2021-04-22 21:09:44.000000,2746,444.0,1011.0,7566,4239.0,\"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.\",168.0,30,False,2021-04-08 17:55:06.000000,3.3.4,38.0,glfw,conda-forge/glfw,,,,214.0,,https://pypi.org/project/glfw,2021-02-28 20:43:49.000000,214.0,44037.0,76600.0,https://anaconda.org/conda-forge/glfw,2021-04-08 18:43:30.580000,29564.0,,,,,2.0,,2294124.0,,,,,,,,,,,,,,,,,,,,\n103,Vowpal Wabbit,VowpalWabbit/vowpal_wabbit,,ml-frameworks,https://github.com/VowpalWabbit/vowpal_wabbit,https://github.com/VowpalWabbit/vowpal_wabbit,BSD-3-Clause,2009-07-31 19:36:58.000000,2021-04-29 14:08:43.000000,2021-04-28 20:59:00.000000,1731,141.0,909.0,7530,9152.0,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,298.0,30,True,2021-04-13 13:14:52.000000,8.10.1,16.0,vowpalwabbit,,,,,135.0,119.0,https://pypi.org/project/vowpalwabbit,2021-04-13 13:14:52.000000,16.0,25300.0,25300.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n104,MoviePy,Zulko/moviepy,,image,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000000,2021-04-29 14:10:30.000000,2021-04-15 19:22:41.000000,1029,337.0,721.0,7479,1021.0,Video editing with Python.,139.0,30,True,2020-05-07 16:29:35.000000,1.0.3,84.0,moviepy,conda-forge/moviepy,,,,8260.0,7130.0,https://pypi.org/project/moviepy,2020-10-05 00:26:29.000000,1130.0,603846.0,605610.0,https://anaconda.org/conda-forge/moviepy,2020-02-23 19:57:49.975000,79395.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n105,Datasets,huggingface/datasets,,data-loading,https://github.com/huggingface/datasets,https://github.com/huggingface/datasets,Apache-2.0,2020-03-26 09:23:22.000000,2021-04-29 15:27:59.000000,2021-04-29 14:50:43.000000,865,279.0,447.0,7349,1569.0,\"The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools.\",261.0,30,True,2021-04-26 13:33:16.000000,1.6.1,19.0,datasets,,,,,684.0,666.0,https://pypi.org/project/datasets,2021-04-26 13:24:21.000000,18.0,121831.0,121831.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n106,pandas-profiling,pandas-profiling/pandas-profiling,,data-viz,https://github.com/pandas-profiling/pandas-profiling,https://github.com/pandas-profiling/pandas-profiling,MIT,2016-01-09 23:47:55.000000,2021-04-26 17:09:32.000000,2021-04-19 18:56:58.000000,1066,75.0,382.0,7197,784.0,Create HTML profiling reports from pandas DataFrame objects.,75.0,30,True,2021-02-20 14:18:35.000000,2.11.0,27.0,pandas-profiling,conda-forge/pandas-profiling,,,\"['jupyter', 'pandas']\",3984.0,3824.0,https://pypi.org/project/pandas-profiling,2021-02-07 23:45:05.000000,160.0,367575.0,369731.0,https://anaconda.org/conda-forge/pandas-profiling,2021-02-20 16:48:07.057000,120773.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n107,tensorboardX,lanpa/tensorboardX,,ml-experiments,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19.000000,2021-04-06 13:33:53.253000,2021-04-03 15:54:51.000000,795,63.0,356.0,6925,468.0,\"tensorboard for pytorch (and chainer, mxnet, numpy, ...).\",65.0,30,True,2021-04-25 09:18:11.000000,2.2,13.0,tensorboardX,conda-forge/tensorboardx,,,,12982.0,11648.0,https://pypi.org/project/tensorboardX,2020-07-05 16:22:14.000000,1334.0,787908.0,797001.0,https://anaconda.org/conda-forge/tensorboardx,2021-04-06 13:33:53.253000,354386.0,,,,,2.0,1.0,325.0,,,,,,,,,,,,,,,,,,,,\n108,SpeechRecognition,Uberi/speech_recognition,,audio,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54.000000,2021-02-28 19:52:57.000000,2019-07-02 17:29:47.000000,1902,217.0,271.0,5591,360.0,\"Speech recognition module for Python, supporting several engines and APIs, online and offline.\",41.0,30,False,2017-12-05 14:05:14.000000,3.8.1,52.0,SpeechRecognition,conda-forge/speechrecognition,,,,9038.0,7950.0,https://pypi.org/project/SpeechRecognition,2017-12-05 13:58:29.000000,1088.0,153615.0,155565.0,https://anaconda.org/conda-forge/speechrecognition,2021-01-11 17:26:33.040000,109214.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n109,Hyperopt,hyperopt/hyperopt,,hyperopt,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59.000000,2021-03-24 09:17:46.000000,2021-03-24 09:17:46.000000,880,340.0,225.0,5565,1172.0,Distributed Asynchronous Hyperparameter Optimization in Python.,87.0,30,True,2020-10-07 09:52:56.000000,0.2.5,11.0,hyperopt,conda-forge/hyperopt,,,,3660.0,3156.0,https://pypi.org/project/hyperopt,2020-10-07 09:52:56.000000,504.0,905613.0,912113.0,https://anaconda.org/conda-forge/hyperopt,2020-10-14 07:57:14.292000,201520.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n110,Autograd,HIPS/autograd,,others,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23.000000,2021-04-22 18:19:00.000000,2021-03-03 09:27:58.000000,722,161.0,218.0,5214,1376.0,Efficiently computes derivatives of numpy code.,51.0,30,True,2017-08-24 17:00:41.000000,1.1.13,24.0,autograd,conda-forge/autograd,,,,2170.0,1826.0,https://pypi.org/project/autograd,2019-07-25 16:21:07.000000,344.0,1176198.0,1179190.0,https://anaconda.org/conda-forge/autograd,2019-07-25 18:29:55.493000,167601.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n111,sentence-transformers,UKPLab/sentence-transformers,,nlp,https://github.com/UKPLab/sentence-transformers,https://github.com/UKPLab/sentence-transformers,Apache-2.0,2019-07-24 10:53:51.000000,2021-04-29 12:44:15.000000,2021-04-29 12:44:09.000000,903,391.0,432.0,4898,756.0,Sentence Embeddings with BERT & XLNet.,45.0,30,True,2021-04-21 13:12:31.000000,1.1.0,35.0,sentence-transformers,,,,['pytorch'],935.0,935.0,https://pypi.org/project/sentence-transformers,2021-04-21 13:12:06.000000,0.0,1053315.0,1053315.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n112,Tesseract,madmaze/pytesseract,,ocr,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000000,2021-04-26 18:07:21.000000,2021-04-26 18:07:18.000000,523,7.0,250.0,3558,379.0,Python-tesseract is an optical character recognition (OCR) tool for python.,37.0,30,True,2020-12-15 05:24:52.000000,0.3.7,24.0,pytesseract,conda-forge/pytesseract,,,,1428.0,,https://pypi.org/project/pytesseract,2020-12-15 05:24:52.000000,1428.0,774617.0,786547.0,https://anaconda.org/conda-forge/pytesseract,2020-11-20 10:05:14.874000,250550.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n113,MLxtend,rasbt/mlxtend,,sklearn-utils,https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16.000000,2021-04-26 01:51:28.000000,2021-04-26 01:51:28.000000,704,95.0,285.0,3455,1213.0,A library of extension and helper modules for Python's data analysis and machine learning libraries.,83.0,30,True,2020-11-26 04:18:15.000000,0.18.0,46.0,mlxtend,conda-forge/mlxtend,,,['sklearn'],3236.0,3046.0,https://pypi.org/project/mlxtend,2020-11-26 04:18:15.000000,190.0,320034.0,323688.0,https://anaconda.org/conda-forge/mlxtend,2020-11-26 05:32:00.667000,164451.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n114,wandb client,wandb/client,,ml-experiments,https://github.com/wandb/client,https://github.com/wandb/client,MIT,2017-03-24 05:46:23.000000,2021-04-29 06:20:41.000000,2021-04-29 03:29:34.000000,209,300.0,773.0,2927,3949.0,A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.,79.0,30,True,2021-04-28 23:38:45.000000,0.10.28,198.0,wandb,,,,,2785.0,2707.0,https://pypi.org/project/wandb,2021-04-28 23:08:30.000000,78.0,381592.0,381592.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n115,torchtext,pytorch/text,,nlp,https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000000,2021-04-29 11:37:08.000000,2021-04-26 21:42:38.000000,624,290.0,323.0,2739,807.0,Data loaders and abstractions for text and NLP.,108.0,30,True,2021-03-25 17:19:08.000000,0.9.1-rc1,14.0,torchtext,,,,['pytorch'],5025.0,4343.0,https://pypi.org/project/torchtext,2021-03-25 16:29:43.000000,682.0,150609.0,150609.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n116,PyQtGraph,pyqtgraph/pyqtgraph,,data-viz,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21.000000,2021-04-29 13:26:24.000000,2021-04-29 05:29:09.000000,825,279.0,536.0,2388,2690.0,Fast data visualization and GUI tools for scientific / engineering applications.,191.0,30,True,2021-04-07 01:54:38.000000,pyqtgraph-0.12.1,14.0,pyqtgraph,conda-forge/pyqtgraph,,,,890.0,,https://pypi.org/project/pyqtgraph,2021-04-07 02:34:28.000000,890.0,58584.0,62007.0,https://anaconda.org/conda-forge/pyqtgraph,2021-04-07 05:35:51.854000,174576.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n117,AzureML SDK,Azure/MachineLearningNotebooks,,ml-experiments,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000000,2021-04-19 18:51:21.000000,2021-04-19 18:51:21.000000,1633,149.0,900.0,2260,1120.0,Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft.,55.0,30,True,2021-03-24 14:02:28.000000,1.25.0,73.0,azureml-sdk,,,,,60.0,,https://pypi.org/project/azureml-sdk,2021-04-19 15:48:53.000000,60.0,685055.0,685068.0,,,,,,,,2.0,,411.0,,,,,,,,,,,,,,,,,,,,\n118,scikit-optimize,scikit-optimize/scikit-optimize,,hyperopt,https://github.com/scikit-optimize/scikit-optimize,https://github.com/scikit-optimize/scikit-optimize,BSD-3-Clause,2016-03-20 21:10:54.000000,2021-04-21 14:29:28.000000,2021-04-14 18:47:24.000000,396,205.0,364.0,2094,1549.0,Sequential model-based optimization with a `scipy.optimize` interface.,70.0,30,True,2020-09-04 09:08:10.000000,0.8.1,22.0,scikit-optimize,conda-forge/scikit-optimize,,,,1724.0,1564.0,https://pypi.org/project/scikit-optimize,2020-09-04 09:08:10.000000,160.0,1448514.0,1454695.0,https://anaconda.org/conda-forge/scikit-optimize,2020-09-04 09:50:52.372000,278177.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n119,smart-open,RaRe-Technologies/smart_open,,data-loading,https://github.com/RaRe-Technologies/smart_open,https://github.com/RaRe-Technologies/smart_open,MIT,2015-01-02 13:05:52.000000,2021-04-28 21:14:53.000000,2021-04-28 04:12:04.000000,279,56.0,248.0,2014,916.0,\"Utils for streaming large files (S3, HDFS, gzip, bz2...).\",79.0,30,True,2021-03-30 09:56:17.000000,5.0.0,48.0,smart-open,,,,,640.0,,https://pypi.org/project/smart-open,2021-03-30 09:55:04.000000,640.0,11177422.0,11177422.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n120,Geocoder,DenisCarriere/geocoder,,geospatial-data,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21.000000,2020-12-30 04:09:42.000000,2018-10-12 15:53:05.000000,260,90.0,217.0,1349,1251.0,Python Geocoder.,74.0,30,False,2018-04-04 12:34:51.000000,1.38.1,108.0,geocoder,conda-forge/geocoder,,,,4151.0,3307.0,https://pypi.org/project/geocoder,2018-04-04 12:34:51.000000,844.0,1190762.0,1192541.0,https://anaconda.org/conda-forge/geocoder,2019-06-27 16:40:50.469000,88976.0,,,,,2.0,,,,,,,,,,,,,,geocoder,,,,,,,,\n121,Wand,emcconville/wand,,image,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000000,2021-03-29 02:59:40.000000,2021-03-29 02:59:33.000000,183,14.0,328.0,1081,1698.0,The ctypes-based simple ImageMagick binding for Python.,95.0,30,True,2021-02-28 13:13:25.000000,0.6.6,48.0,wand,,,,,5320.0,4150.0,https://pypi.org/project/wand,2021-02-28 12:46:37.000000,1170.0,279867.0,280046.0,,,,,,,,2.0,,5215.0,,,,,,,,,,,,,,,,,,,,\n122,Fiona,Toblerity/Fiona,,geospatial-data,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00.000000,2021-04-25 14:27:18.000000,2021-04-25 14:27:18.000000,168,79.0,556.0,799,1094.0,Fiona reads and writes geographic data files.,65.0,30,True,2021-04-07 21:57:31.000000,1.8.19,97.0,fiona,conda-forge/fiona,,,,6800.0,5612.0,https://pypi.org/project/fiona,2021-04-07 21:57:31.000000,1188.0,1315635.0,1346778.0,https://anaconda.org/conda-forge/fiona,2021-04-08 06:39:37.208000,1899743.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n123,Nilearn,nilearn/nilearn,,medical-data,https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000000,2021-04-29 12:21:32.000000,2021-04-29 12:21:32.000000,393,378.0,1186.0,725,9336.0,Machine learning for NeuroImaging in Python.,166.0,30,True,2020-11-12 11:44:49.000000,0.7.0,36.0,nilearn,conda-forge/nilearn,,,['sklearn'],1285.0,983.0,https://pypi.org/project/nilearn,2021-03-10 13:17:17.000000,302.0,24571.0,26165.0,https://anaconda.org/conda-forge/nilearn,2021-03-10 17:33:32.831000,94074.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n124,NiBabel,nipy/nibabel,,medical-data,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30.000000,2021-04-27 14:21:26.000000,2021-04-27 14:21:26.000000,214,112.0,294.0,402,4968.0,Python package to access a cacophony of neuro-imaging file formats.,90.0,30,True,2020-11-28 22:19:50.000000,3.2.1,32.0,nibabel,conda-forge/nibabel,,,,5470.0,4206.0,https://pypi.org/project/nibabel,2020-11-28 22:18:23.000000,1264.0,108112.0,113719.0,https://anaconda.org/conda-forge/nibabel,2020-11-29 03:40:05.178000,330849.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n125,Keras,keras-team/keras,,ml-frameworks,https://github.com/keras-team/keras,https://github.com/keras-team/keras,MIT,2015-03-28 00:35:42.000000,2021-04-28 23:52:34.000000,2021-04-28 21:54:43.000000,18738,3262.0,7251.0,51092,5480.0,Deep Learning for humans.,906.0,29,True,2020-06-17 22:22:46.000000,2.4.0,50.0,keras,conda-forge/keras,,https://keras.io,['tensorflow'],,,https://pypi.org/project/keras,2021-04-12 23:09:14.000000,,3183141.0,3211956.0,https://anaconda.org/conda-forge/keras,2021-04-19 19:56:38.549000,1613670.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n126,Face Recognition,ageitgey/face_recognition,,image,https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39.000000,2021-03-20 02:37:00.000000,2020-09-26 15:32:59.000000,11016,591.0,535.0,39644,211.0,The world's simplest facial recognition api for Python and the command line.,45.0,29,True,2018-08-21 18:34:21.000000,1.2.3,21.0,face_recognition,,,,['pytorch'],406.0,,https://pypi.org/project/face_recognition,2018-08-21 18:34:21.000000,406.0,51364.0,51373.0,,,,,,,,2.0,,441.0,,,,,,,,,,,,,,,,,,,,\n127,detectron2,facebookresearch/detectron2,,image,https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000000,2021-04-29 01:40:40.000000,2021-04-29 01:40:36.000000,4185,104.0,2321.0,16177,1122.0,\"Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.\",156.0,29,True,2021-03-13 01:36:49.000000,0.4,8.0,,conda-forge/detectron2,,,['pytorch'],220.0,220.0,,,,,1565.0,https://anaconda.org/conda-forge/detectron2,2021-04-28 18:23:17.435000,17223.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n128,Faiss,facebookresearch/faiss,,nn-search,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000000,2021-04-29 11:27:06.000000,2021-04-27 11:50:36.000000,2177,124.0,1345.0,13363,526.0,A library for efficient similarity search and clustering of dense vectors.,84.0,29,True,2021-04-29 11:27:06.000000,1.1.0,47.0,pymilvus,conda-forge/faiss,,,,366.0,360.0,https://pypi.org/project/pymilvus,2021-04-29 11:27:06.000000,6.0,15741.0,23112.0,https://anaconda.org/conda-forge/faiss,2021-04-19 13:07:02.042000,81081.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n129,Prophet,facebook/prophet,,time-series-data,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000000,2021-04-21 01:10:06.000000,2021-04-21 01:10:06.000000,3606,65.0,1516.0,12625,658.0,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,131.0,29,True,2021-04-02 23:45:16.000000,1.0,14.0,fbprophet,,,,,150.0,,https://pypi.org/project/fbprophet,2020-09-05 16:12:50.000000,150.0,736618.0,736630.0,,,,,,,,1.0,,594.0,,,,,,,,,,,,,,,,,,,,\n130,EasyOCR,JaidedAI/EasyOCR,,ocr,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000000,2021-04-24 01:07:20.000000,2021-04-21 20:51:16.000000,1236,118.0,184.0,11337,401.0,\"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..\",77.0,29,True,2021-04-24 01:07:20.000000,1.3.1,22.0,easyocr,,,,,200.0,200.0,https://pypi.org/project/easyocr,2021-04-24 01:07:20.000000,0.0,17358.0,43595.0,,,,,,,,1.0,1.0,262371.0,,,,,,,,,,,,,,,,,,,,\n131,horovod,horovod/horovod,,distributed-ml,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000000,2021-04-29 08:12:55.000000,2021-04-29 02:33:00.000000,1790,229.0,1543.0,11156,922.0,\"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.\",118.0,29,True,2021-02-15 20:51:41.000000,0.21.3,64.0,horovod,,,,,395.0,355.0,https://pypi.org/project/horovod,2021-02-15 20:51:41.000000,40.0,51881.0,51881.0,,,,,,,,2.0,,,stable/horovod,,,,,,,,,,,,,,,,,,,\n132,PyTorch Geometric,rusty1s/pytorch_geometric,,graph,https://github.com/rusty1s/pytorch_geometric,https://github.com/rusty1s/pytorch_geometric,MIT,2017-10-06 16:03:03.000000,2021-04-29 13:39:21.000000,2021-04-29 13:39:19.000000,1834,756.0,1208.0,10873,4381.0,Geometric Deep Learning Extension Library for PyTorch.,158.0,29,True,2021-04-09 08:44:51.000000,1.7.0,26.0,torch-geometric,,,,['pytorch'],24.0,,https://pypi.org/project/torch-geometric,2020-12-02 14:54:13.000000,24.0,37385.0,37385.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n133,Sonnet,deepmind/sonnet,,ml-frameworks,https://github.com/deepmind/sonnet,https://github.com/deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35.000000,2021-03-15 18:24:14.000000,2021-03-15 18:23:31.000000,1271,19.0,137.0,8847,545.0,TensorFlow-based neural network library.,51.0,29,True,2020-03-27 10:36:19.000000,2.0.0,27.0,dm-sonnet,conda-forge/sonnet,,,['tensorflow'],647.0,565.0,https://pypi.org/project/dm-sonnet,2020-03-27 10:36:10.000000,82.0,82767.0,83290.0,https://anaconda.org/conda-forge/sonnet,2020-11-14 18:13:23.843000,8901.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n134,Lime,marcotcr/lime,,interpretability,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10.000000,2021-02-04 08:58:12.000000,2021-01-12 16:12:17.000000,1402,63.0,445.0,8682,508.0,Lime: Explaining the predictions of any machine learning classifier.,57.0,29,True,2020-04-03 22:05:03.000000,0.2.0.0,38.0,lime,conda-forge/lime,,,,1355.0,1227.0,https://pypi.org/project/lime,2020-06-26 21:38:15.000000,128.0,370727.0,372088.0,https://anaconda.org/conda-forge/lime,2020-06-28 01:02:41.538000,70806.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n135,TPOT,EpistasisLab/tpot,,hyperopt,https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40.000000,2021-03-17 21:46:35.000000,2021-01-06 15:17:46.000000,1396,214.0,596.0,7970,2368.0,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,108.0,29,False,2021-01-06 15:20:08.000000,0.11.7,60.0,tpot,conda-forge/tpot,,,['sklearn'],1019.0,939.0,https://pypi.org/project/tpot,2021-01-06 15:20:08.000000,80.0,36366.0,38478.0,https://anaconda.org/conda-forge/tpot,2021-03-05 04:04:38.005000,116205.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n136,Albumentations,albumentations-team/albumentations,,image,https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000000,2021-04-28 21:33:23.000000,2021-04-28 21:33:16.000000,990,183.0,255.0,7813,629.0,Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation:..,76.0,29,True,2020-11-29 14:30:07.000000,0.5.2,44.0,albumentations,conda-forge/albumentations,,,['pytorch'],3589.0,3461.0,https://pypi.org/project/albumentations,2020-11-29 14:30:07.000000,128.0,147916.0,148717.0,https://anaconda.org/conda-forge/albumentations,2020-11-29 15:51:47.610000,17630.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n137,Modin,modin-project/modin,,data-containers,https://github.com/modin-project/modin,https://github.com/modin-project/modin,Apache-2.0,2018-06-21 21:35:05.000000,2021-04-29 14:18:55.000000,2021-04-28 00:43:02.000000,421,495.0,1208.0,6008,1353.0,Modin: Speed up your Pandas workflows by changing a single line of code.,75.0,29,True,2021-03-16 02:04:13.000000,0.9.1,37.0,modin,,,,['pandas'],367.0,349.0,https://pypi.org/project/modin,2021-03-04 23:04:25.000000,18.0,144483.0,150404.0,,,,,,,,2.0,,195406.0,,,,,,,,,,,,,,,,,,,,\n138,faust,robinhood/faust,,data-pipelines,https://github.com/robinhood/faust,https://github.com/robinhood/faust,BSD-3-Clause,2017-03-08 18:36:11.000000,2021-04-21 18:29:47.000000,2020-10-09 12:59:42.000000,459,236.0,225.0,5494,4137.0,Python Stream Processing.,91.0,29,True,2020-02-25 22:57:18.000000,1.10.4,46.0,faust,,,,,745.0,717.0,https://pypi.org/project/faust,2020-02-25 22:57:18.000000,28.0,831237.0,831237.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n139,yfinance,ranaroussi/yfinance,,financial-data,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000000,2021-04-27 07:22:55.000000,2021-03-25 00:42:57.000000,1167,296.0,226.0,4867,,Yahoo! Finance market data downloader (+faster Pandas Datareader).,36.0,29,True,2021-03-25 00:43:03.000000,0.1.59,24.0,yfinance,ranaroussi/yfinance,,,,4139.0,4113.0,https://pypi.org/project/yfinance,2021-03-25 00:43:03.000000,26.0,201258.0,203489.0,https://anaconda.org/ranaroussi/yfinance,2019-12-27 21:30:44.606000,44620.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n140,TinyDB,msiemens/tinydb,,data-containers,https://github.com/msiemens/tinydb,https://github.com/msiemens/tinydb,MIT,2013-07-12 23:31:13.000000,2021-04-19 18:15:07.000000,2021-04-19 18:15:07.000000,370,8.0,247.0,4207,614.0,TinyDB is a lightweight document oriented database optimized for your happiness :).,64.0,29,True,2021-02-11 19:31:26.000000,4.4.0,59.0,tinydb,conda-forge/tinydb,,,,1118.0,,https://pypi.org/project/tinydb,2021-02-11 19:31:24.000000,1118.0,275625.0,277608.0,https://anaconda.org/conda-forge/tinydb,2021-02-11 21:20:33.462000,115049.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n141,kaggle,Kaggle/kaggle-api,,ml-experiments,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000000,2021-03-19 16:43:36.000000,2021-03-15 15:49:05.000000,792,172.0,116.0,4000,145.0,Official Kaggle API.,36.0,29,True,2021-03-13 00:50:03.000000,1.5.12,48.0,kaggle,conda-forge/kaggle,,,,5782.0,5218.0,https://pypi.org/project/kaggle,2021-03-13 00:50:03.000000,564.0,170600.0,172940.0,https://anaconda.org/conda-forge/kaggle,2021-03-16 16:09:03.613000,53841.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n142,Kedro,quantumblacklabs/kedro,,data-pipelines,https://github.com/quantumblacklabs/kedro,https://github.com/quantumblacklabs/kedro,Apache-2.0,2019-04-18 10:29:56.000000,2021-04-29 12:05:08.000000,2021-04-26 16:25:24.000000,437,54.0,419.0,3775,1216.0,\"A Python framework for creating reproducible, maintainable and modular data science code.\",105.0,29,True,2021-04-21 15:12:01.000000,0.17.3,27.0,kedro,,,,,471.0,455.0,https://pypi.org/project/kedro,2021-04-21 15:12:51.000000,16.0,130973.0,130973.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n143,sacred,IDSIA/sacred,,ml-experiments,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29.000000,2021-04-27 12:19:28.000000,2021-04-27 12:19:28.000000,314,92.0,405.0,3422,1305.0,\"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.\",92.0,29,True,2020-12-14 15:21:05.000000,0.8.2,27.0,sacred,,,,,1044.0,890.0,https://pypi.org/project/sacred,2020-12-14 15:21:05.000000,154.0,23774.0,23774.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n144,PyCaret,pycaret/pycaret,,ml-experiments,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000000,2021-04-29 13:49:30.000000,2021-04-28 15:20:17.000000,719,211.0,616.0,3328,1727.0,\"An open-source, low-code machine learning library in Python.\",49.0,29,True,2021-04-28 12:36:06.000000,2.3.1,70.0,pycaret,,,,,863.0,863.0,https://pypi.org/project/pycaret,2021-04-28 12:36:06.000000,0.0,59026.0,59068.0,,,,,,,,2.0,,383.0,,,,,,,,,,,,,,,,,,,,\n145,Dedupe,dedupeio/dedupe,,nlp,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36.000000,2021-04-17 00:35:34.000000,2021-04-17 00:27:42.000000,423,60.0,582.0,3000,2813.0,\"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.\",56.0,29,True,2021-02-28 20:52:16.000000,2.0.7,159.0,dedupe,,,,,262.0,184.0,https://pypi.org/project/dedupe,2021-04-17 00:35:34.000000,78.0,87390.0,87390.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n146,ftfy,LuminosoInsight/python-ftfy,,nlp,https://github.com/LuminosoInsight/python-ftfy,https://github.com/LuminosoInsight/python-ftfy,MIT,2012-08-24 16:14:59.000000,2021-04-19 06:46:27.267000,2021-04-16 14:41:17.000000,102,13.0,101.0,2945,582.0,\"Fixes mojibake and other glitches in Unicode text, after the fact.\",17.0,29,True,2021-04-16 14:45:14.000000,6.0.1,44.0,ftfy,conda-forge/ftfy,,,,3909.0,3149.0,https://pypi.org/project/ftfy,2021-04-16 14:45:14.000000,760.0,828181.0,830304.0,https://anaconda.org/conda-forge/ftfy,2021-04-19 06:46:27.267000,101921.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n147,dbt,fishtown-analytics/dbt,,data-pipelines,https://github.com/fishtown-analytics/dbt,https://github.com/fishtown-analytics/dbt,Apache-2.0,2016-03-10 02:38:00.000000,2021-04-29 07:13:33.000000,2021-04-28 21:32:14.000000,563,345.0,1542.0,2882,2481.0,dbt (data build tool) enables data analysts and engineers to transform their data using the same practices that..,144.0,29,True,2021-03-31 18:19:23.000000,0.19.1,151.0,dbt,conda-forge/dbt,,,,278.0,260.0,https://pypi.org/project/dbt,2021-04-28 21:34:41.000000,18.0,325431.0,328496.0,https://anaconda.org/conda-forge/dbt,2020-05-14 13:55:32.153000,162482.0,,,,,2.0,,,,,,,,,,dbt,,,,,,,,,,,,\n148,Koalas,databricks/koalas,,data-containers,https://github.com/databricks/koalas,https://github.com/databricks/koalas,Apache-2.0,2019-01-03 21:46:54.000000,2021-04-15 22:31:04.000000,2021-04-15 19:35:24.000000,304,109.0,439.0,2779,1534.0,Koalas: pandas API on Apache Spark.,50.0,29,True,2021-03-08 10:28:06.000000,1.7.0,44.0,koalas,conda-forge/koalas,,,\"['spark', 'pandas']\",91.0,89.0,https://pypi.org/project/koalas,2021-03-08 10:28:06.000000,2.0,2943403.0,2947170.0,https://anaconda.org/conda-forge/koalas,2021-03-09 01:46:58.770000,85764.0,,,,,2.0,,996.0,,,,,,,,,,,,,,,,,,,,\n149,mrjob,Yelp/mrjob,,data-pipelines,https://github.com/Yelp/mrjob,https://github.com/Yelp/mrjob,Apache-2.0,2010-10-13 18:35:21.000000,2021-03-31 18:37:58.000000,2020-11-16 22:20:52.000000,590,202.0,1089.0,2541,8622.0,Run MapReduce jobs on Hadoop or Amazon Web Services.,142.0,29,True,2020-09-17 22:26:01.000000,0.7.4,60.0,mrjob,conda-forge/mrjob,,,,831.0,719.0,https://pypi.org/project/mrjob,2020-09-17 22:26:01.000000,112.0,98629.0,104940.0,https://anaconda.org/conda-forge/mrjob,2020-12-24 22:44:29.424000,347121.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n150,NMSLIB,nmslib/nmslib,,nn-search,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06.000000,2021-03-16 02:11:45.000000,2021-03-16 02:11:39.000000,339,42.0,322.0,2370,1503.0,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,44.0,29,True,2021-02-03 16:40:09.000000,2.1.1,32.0,nmslib,conda-forge/nmslib,,,,417.0,365.0,https://pypi.org/project/nmslib,2021-02-03 00:02:08.000000,52.0,70594.0,72657.0,https://anaconda.org/conda-forge/nmslib,2021-01-08 16:19:07.762000,24760.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n151,GPyTorch,cornellius-gp/gpytorch,,probabilistics,https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000000,2021-04-27 19:52:09.000000,2021-04-26 15:23:48.000000,338,207.0,690.0,2367,3402.0,A highly efficient and modular implementation of Gaussian Processes in PyTorch.,78.0,29,True,2021-04-15 13:43:21.000000,1.4.1,27.0,gpytorch,,,,['pytorch'],273.0,265.0,https://pypi.org/project/gpytorch,2021-04-15 13:43:21.000000,8.0,67407.0,67407.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n152,hmmlearn,hmmlearn/hmmlearn,,probabilistics,https://github.com/hmmlearn/hmmlearn,https://github.com/hmmlearn/hmmlearn,BSD-3-Clause,2014-03-23 10:33:09.000000,2021-04-16 09:52:06.000000,2021-04-16 09:48:57.000000,647,66.0,292.0,2245,358.0,\"Hidden Markov Models in Python, with scikit-learn like API.\",32.0,29,True,2021-02-03 14:33:20.000000,0.2.5,7.0,hmmlearn,conda-forge/hmmlearn,,,['sklearn'],1160.0,954.0,https://pypi.org/project/hmmlearn,2021-02-03 14:32:44.000000,206.0,152760.0,155391.0,https://anaconda.org/conda-forge/hmmlearn,2021-02-04 16:23:17.046000,76316.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n153,pandas-datareader,pydata/pandas-datareader,,data-loading,https://github.com/pydata/pandas-datareader,https://github.com/pydata/pandas-datareader,BSD-3-Clause,2015-01-15 00:34:19.000000,2021-04-28 09:07:50.000000,2020-12-31 11:58:23.000000,521,86.0,370.0,1979,764.0,Extract data from a wide range of Internet sources into a pandas DataFrame.,77.0,29,True,2020-07-10 10:04:14.000000,0.9.0,21.0,pandas-datareader,conda-forge/pandas-datareader,,,['pandas'],10446.0,9040.0,https://pypi.org/project/pandas-datareader,2020-07-10 10:04:14.000000,1406.0,234254.0,236656.0,https://anaconda.org/conda-forge/pandas-datareader,2021-03-16 22:58:42.079000,115329.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n154,ImageHash,JohannesBuchner/imagehash,,image,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48.000000,2021-03-25 13:32:22.000000,2021-01-03 14:55:15.000000,258,22.0,75.0,1932,184.0,A Python Perceptual Image Hashing Module.,17.0,29,True,2021-03-25 13:49:48.000000,4.1.0,17.0,ImageHash,conda-forge/imagehash,,,,2970.0,2438.0,https://pypi.org/project/ImageHash,2020-11-19 14:54:24.000000,532.0,772706.0,774877.0,https://anaconda.org/conda-forge/imagehash,2020-11-19 18:20:49.964000,115094.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n155,HoloViews,holoviz/holoviews,,data-viz,https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000000,2021-04-23 04:01:01.000000,2021-04-21 11:07:45.000000,307,708.0,1849.0,1869,10167.0,\"With Holoviews, your data visualizes itself.\",104.0,29,True,2021-04-26 15:45:22.000000,1.14.3,70.0,holoviews,conda-forge/holoviews,,,['jupyter'],170.0,,https://pypi.org/project/holoviews,2021-04-08 13:54:50.000000,170.0,91853.0,105895.0,https://anaconda.org/conda-forge/holoviews,2021-04-08 15:16:37.674000,475513.0,,,,,2.0,,,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,2020-05-24 13:49:54.205000,,5983.0,,,,,,,,,,,,,,\n156,hdbscan,scikit-learn-contrib/hdbscan,,others,https://github.com/scikit-learn-contrib/hdbscan,https://github.com/scikit-learn-contrib/hdbscan,BSD-3-Clause,2015-04-22 13:32:37.000000,2021-04-07 15:55:02.000000,2021-04-07 15:55:02.000000,339,225.0,146.0,1866,884.0,A high performance implementation of HDBSCAN clustering.,69.0,29,True,2021-02-03 20:21:02.000000,0.8.27,43.0,hdbscan,conda-forge/hdbscan,,,['sklearn'],946.0,822.0,https://pypi.org/project/hdbscan,2021-02-03 20:21:02.000000,124.0,206001.0,217323.0,https://anaconda.org/conda-forge/hdbscan,2021-02-14 03:07:15.749000,645410.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n157,Lifelines,CamDavidsonPilon/lifelines,,medical-data,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42.000000,2021-04-29 14:08:33.000000,2021-04-15 16:51:28.000000,420,200.0,600.0,1609,2111.0,Survival analysis in Python.,93.0,29,True,2021-04-13 14:41:27.000000,0.25.11,156.0,lifelines,conda-forge/lifelines,,,,682.0,556.0,https://pypi.org/project/lifelines,2021-04-13 14:41:27.000000,126.0,242859.0,245307.0,https://anaconda.org/conda-forge/lifelines,2021-04-06 18:57:53.837000,141988.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n158,Cartopy,mapbox/rasterio,,geospatial-data,https://github.com/mapbox/rasterio,https://github.com/mapbox/rasterio,LGPL-3.0,2013-11-04 16:36:27.000000,2021-04-28 18:52:50.000000,2021-04-28 17:21:16.000000,402,139.0,1241.0,1482,3302.0,Rasterio reads and writes geospatial raster datasets.,108.0,29,False,2021-04-21 16:59:37.000000,0.19.0,22.0,Cartopy,conda-forge/cartopy,,,,3431.0,3085.0,https://pypi.org/project/Cartopy,2021-04-23 16:49:22.000000,346.0,62456.0,87389.0,https://anaconda.org/conda-forge/cartopy,2021-04-23 22:13:04.123000,1520346.0,,,,,3.0,,705.0,,,,,,,,,,,,,,,,,,,,\n159,pyLDAvis,bmabey/pyLDAvis,,interpretability,https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03.000000,2021-04-22 23:16:41.000000,2021-03-24 13:03:31.000000,302,75.0,72.0,1438,240.0,Python library for interactive topic model visualization. Port of the R LDAvis package.,32.0,29,True,2021-03-24 13:05:21.000000,3.3.1,24.0,pyldavis,conda-forge/pyldavis,,,['jupyter'],2246.0,2048.0,https://pypi.org/project/pyldavis,2021-03-24 12:57:08.000000,198.0,158559.0,159254.0,https://anaconda.org/conda-forge/pyldavis,2021-03-24 15:17:07.309000,23644.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n160,torchaudio,pytorch/audio,,audio,https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000000,2021-04-29 11:31:16.000000,2021-04-26 22:15:06.000000,299,149.0,314.0,1299,836.0,\"Data manipulation and transformation for audio signal processing, powered by PyTorch.\",120.0,29,True,2021-03-25 16:30:33.000000,0.8.1,14.0,torchaudio,,,,['pytorch'],2620.0,2602.0,https://pypi.org/project/torchaudio,2021-03-25 16:29:07.000000,18.0,211685.0,211685.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n161,ipyleaflet,jupyter-widgets/ipyleaflet,,geospatial-data,https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10.000000,2021-04-20 02:45:10.000000,2021-04-12 10:46:55.000000,290,153.0,257.0,1113,912.0,A Jupyter - Leaflet.js bridge.,64.0,29,True,2021-01-05 16:38:38.000000,0.13.6,70.0,ipyleaflet,conda-forge/ipyleaflet,,,['jupyter'],925.0,825.0,https://pypi.org/project/ipyleaflet,2021-01-05 16:38:38.000000,98.0,38641.0,70896.0,https://anaconda.org/conda-forge/ipyleaflet,2021-01-16 23:51:37.383000,658375.0,,,,,3.0,,,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2021-01-05 16:30:30.235000,2.0,21097.0,,,,,,,,,,,,,,\n162,PyTables,PyTables/PyTables,,data-containers,https://github.com/PyTables/PyTables,https://github.com/PyTables/PyTables,BSD-3-Clause,2011-06-03 19:44:46.000000,2021-03-26 00:08:03.000000,2021-03-20 09:04:48.000000,204,168.0,450.0,1016,3954.0,A Python package to manage extremely large amounts of data.,98.0,29,True,2019-10-30 19:33:37.000000,3.6.1,25.0,tables,conda-forge/pytables,,,,3754.0,,https://pypi.org/project/tables,2019-10-30 19:33:37.000000,3754.0,678170.0,723236.0,https://anaconda.org/conda-forge/pytables,2021-01-14 18:41:06.536000,2523603.0,,,,,2.0,,131.0,,,,,,,,,,,,,,,,,,,,\n163,Graphviz,xflr6/graphviz,,data-viz,https://github.com/xflr6/graphviz,https://github.com/xflr6/graphviz,MIT,2014-01-12 17:49:29.000000,2021-03-14 18:19:06.000000,2021-03-14 18:18:52.000000,143,9.0,100.0,977,458.0,Simple Python interface for Graphviz.,15.0,29,True,2020-10-07 09:06:41.000000,0.14.2,47.0,graphviz,,,,,24050.0,19668.0,https://pypi.org/project/graphviz,2020-12-24 16:17:24.000000,4382.0,6045466.0,6045466.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n164,snakemake,snakemake/snakemake,,ml-experiments,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867000,2021-04-29 11:58:20.000000,2021-04-29 11:56:55.000000,207,381.0,226.0,949,4056.0,\"This is the development home of the workflow management system Snakemake. For general information, see.\",199.0,29,True,2021-04-29 11:57:41.000000,6.3.0,173.0,snakemake,bioconda/snakemake,,,,1085.0,797.0,https://pypi.org/project/snakemake,2021-04-29 11:58:20.000000,288.0,19531.0,23971.0,https://anaconda.org/bioconda/snakemake,2021-04-22 13:40:53.509000,293092.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n165,Keras-Preprocessing,keras-team/keras-preprocessing,,others,https://github.com/keras-team/keras-preprocessing,https://github.com/keras-team/keras-preprocessing,MIT,2018-05-30 22:43:36.000000,2021-02-04 19:43:30.000000,2021-02-04 19:43:30.000000,420,93.0,99.0,942,284.0,\"Utilities for working with image data, text data, and sequence data.\",50.0,29,True,2020-05-14 03:53:47.000000,1.1.2,12.0,keras-preprocessing,conda-forge/keras-preprocessing,,,['tensorflow'],2736.0,,https://pypi.org/project/keras-preprocessing,2020-05-14 03:53:47.000000,2736.0,5764562.0,5791324.0,https://anaconda.org/conda-forge/keras-preprocessing,2021-01-15 12:28:58.923000,909921.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n166,TensorFlow Transform,tensorflow/transform,,tensorflow-utils,https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53.000000,2021-04-27 11:12:20.000000,2021-04-27 11:12:15.000000,169,25.0,137.0,865,639.0,Input pipeline framework.,27.0,29,True,2021-04-26 22:26:24.000000,0.30.0,37.0,tensorflow-transform,,,,['tensorflow'],528.0,444.0,https://pypi.org/project/tensorflow-transform,2021-04-26 22:26:24.000000,84.0,7313687.0,7313687.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n167,Bottleneck,pydata/bottleneck,,data-containers,https://github.com/pydata/bottleneck,https://github.com/pydata/bottleneck,BSD-2-Clause,2010-11-27 23:21:22.000000,2021-03-22 17:21:10.000000,2021-01-24 18:39:03.000000,65,29.0,177.0,603,1241.0,Fast NumPy array functions written in C.,21.0,29,True,2020-02-21 06:22:16.000000,1.3.2,21.0,Bottleneck,conda-forge/bottleneck,,,,24016.0,21124.0,https://pypi.org/project/Bottleneck,2020-02-21 06:22:16.000000,2892.0,375395.0,401220.0,https://anaconda.org/conda-forge/bottleneck,2021-01-21 02:48:32.623000,1523689.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n168,NIPYPE,nipy/nipype,,medical-data,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000000,2021-04-22 20:03:26.000000,2021-04-22 20:03:26.000000,456,337.0,879.0,560,14083.0,Workflows and interfaces for neuroimaging packages.,214.0,29,True,2020-11-28 17:23:30.000000,1.6.0,54.0,nipype,conda-forge/nipype,,,,768.0,576.0,https://pypi.org/project/nipype,2020-11-28 17:23:30.000000,192.0,18768.0,25642.0,https://anaconda.org/conda-forge/nipype,2020-11-28 17:44:51.813000,391858.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n169,baselines,openai/baselines,,reinforcement-learning,https://github.com/openai/baselines,https://github.com/openai/baselines,MIT,2017-05-24 01:58:13.000000,2021-02-21 12:16:56.000000,2020-01-31 13:06:18.000000,3915,454.0,426.0,11440,347.0,OpenAI Baselines: high-quality implementations of reinforcement learning algorithms.,114.0,28,False,2018-02-26 17:07:07.000000,0.1.5,6.0,baselines,,,,,376.0,302.0,https://pypi.org/project/baselines,2018-02-26 17:07:07.000000,74.0,11425.0,11425.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n170,Rasa,RasaHQ/rasa,,nlp,https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49.000000,2021-04-29 14:04:12.000000,2021-04-29 07:50:18.000000,3349,611.0,4729.0,11237,,\"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..\",483.0,28,True,2021-04-28 13:32:19.000000,2.5.1,198.0,rasa,,,,['tensorflow'],64.0,,https://pypi.org/project/rasa,2021-04-28 13:32:10.000000,64.0,177556.0,177556.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n171,Dopamine,google/dopamine,,reinforcement-learning,https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36.000000,2021-04-08 17:53:18.000000,2021-04-08 17:48:28.000000,1254,82.0,73.0,9395,227.0,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,14.0,28,True,2021-03-03 22:26:11.000000,3.1.10,37.0,dopamine-rl,,,,['tensorflow'],62.0,,https://pypi.org/project/dopamine-rl,2021-04-08 17:53:18.000000,62.0,106617.0,106617.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n172,PyTorch Image Models,rwightman/pytorch-image-models,,image,https://github.com/rwightman/pytorch-image-models,https://github.com/rwightman/pytorch-image-models,Apache-2.0,2019-02-02 05:51:12.000000,2021-04-29 01:10:19.000000,2021-04-29 01:10:12.000000,1364,27.0,273.0,9230,850.0,\"PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision..\",41.0,28,True,2021-04-28 23:08:21.000000,0.1-coat-weights,20.0,,,,,['pytorch'],493.0,493.0,,,,,14756.0,,,,,,,,2.0,,339400.0,,,,,,,,,,,,,,,,,,,,\n173,AutoKeras,keras-team/autokeras,,hyperopt,https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20.000000,2021-04-16 15:12:04.000000,2021-03-18 20:17:05.000000,1281,66.0,668.0,7923,1250.0,AutoML library for deep learning.,129.0,28,True,2020-11-30 02:43:50.000000,1.0.12,46.0,autokeras,,,,['tensorflow'],180.0,173.0,https://pypi.org/project/autokeras,2020-11-30 02:43:50.000000,7.0,10127.0,10127.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n174,Pyro,pyro-ppl/pyro,,probabilistics,https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000000,2021-04-28 21:36:11.000000,2021-04-28 21:16:46.000000,826,137.0,695.0,6893,2188.0,Deep universal probabilistic programming with Python and PyTorch.,107.0,28,True,2021-03-04 23:01:34.000000,1.6.0,26.0,pyro-ppl,,,,['pytorch'],471.0,435.0,https://pypi.org/project/pyro-ppl,2021-03-04 23:05:10.000000,36.0,35413.0,35413.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n175,tensorpack,tensorpack/tensorpack,,ml-frameworks,https://github.com/tensorpack/tensorpack,https://github.com/tensorpack/tensorpack,Apache-2.0,2015-12-25 23:08:44.000000,2021-04-19 08:05:46.000000,2021-04-19 08:05:39.000000,1772,10.0,1314.0,6000,2932.0,\"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.\",55.0,28,True,2020-04-24 19:01:06.000000,0.10.1,37.0,tensorpack,,,,['tensorflow'],817.0,741.0,https://pypi.org/project/tensorpack,2021-01-22 08:44:03.000000,76.0,15896.0,15898.0,,,,,,,,3.0,,119.0,,,,,,,,,,,,,,,,,,,,\n176,DeepPavlov,deepmipt/DeepPavlov,,nlp,https://github.com/deepmipt/DeepPavlov,https://github.com/deepmipt/DeepPavlov,Apache-2.0,2017-11-17 14:35:29.000000,2021-04-27 11:24:43.000000,2021-04-03 15:53:30.000000,933,118.0,460.0,5166,2581.0,An open source library for deep learning end-to-end dialog systems and chatbots.,61.0,28,True,2021-04-03 16:00:08.000000,0.14.1,42.0,deeppavlov,,,,['tensorflow'],198.0,190.0,https://pypi.org/project/deeppavlov,2021-04-03 16:00:08.000000,8.0,9109.0,9109.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n177,Bayesian Optimization,fmfn/BayesianOptimization,,hyperopt,https://github.com/fmfn/BayesianOptimization,https://github.com/fmfn/BayesianOptimization,MIT,2014-06-06 08:18:56.000000,2021-03-17 21:02:26.000000,2020-12-19 01:11:23.000000,1097,40.0,166.0,5075,199.0,A Python implementation of global optimization with gaussian processes.,27.0,28,True,2020-05-16 16:03:51.000000,1.2.0,8.0,bayesian-optimization,,,,,804.0,712.0,https://pypi.org/project/bayesian-optimization,2020-05-16 15:56:09.000000,92.0,100546.0,100547.0,,,,,,,,1.0,,54.0,,,,,,,,,,,,,,,,,,,,\n178,OpenNMT,OpenNMT/OpenNMT-py,,nlp,https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000000,2021-04-29 08:14:07.000000,2021-04-29 07:23:52.000000,1814,104.0,1147.0,4983,2560.0,Open Source Neural Machine Translation in PyTorch.,170.0,28,True,2021-04-16 12:58:59.000000,2.1.0,29.0,OpenNMT-py,,,,['pytorch'],88.0,84.0,https://pypi.org/project/OpenNMT-py,2021-01-27 09:22:31.000000,4.0,5247.0,5247.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n179,GluonCV,dmlc/gluon-cv,,image,https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21.000000,2021-04-29 09:01:58.000000,2021-04-12 16:53:33.000000,1069,384.0,381.0,4699,858.0,Gluon CV Toolkit.,112.0,28,True,2021-03-28 22:53:04.000000,0.10.1,1075.0,gluoncv,,,,['mxnet'],509.0,479.0,https://pypi.org/project/gluoncv,2021-04-29 09:01:58.000000,30.0,81710.0,81710.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n180,snorkel,snorkel-team/snorkel,,data-loading,https://github.com/snorkel-team/snorkel,https://github.com/snorkel-team/snorkel,Apache-2.0,2016-02-26 05:52:45.000000,2021-04-27 22:46:59.000000,2021-03-13 23:03:14.000000,735,23.0,920.0,4577,2652.0,A system for quickly generating training data with weak supervision.,64.0,28,True,2021-03-09 21:51:40.000000,0.9.7,19.0,snorkel,conda-forge/snorkel,,,,91.0,83.0,https://pypi.org/project/snorkel,2021-03-09 21:39:08.000000,8.0,119700.0,120569.0,https://anaconda.org/conda-forge/snorkel,2021-03-16 04:08:56.469000,17986.0,,,,,3.0,,672.0,,,,,,,,,,,,,,,,,,,,\n181,csvkit,wireservice/csvkit,,data-loading,https://github.com/wireservice/csvkit,https://github.com/wireservice/csvkit,MIT,2011-04-01 03:00:30.000000,2021-04-01 14:02:02.000000,2021-03-10 22:01:27.000000,535,57.0,754.0,4559,1696.0,\"A suite of utilities for converting to and working with CSV, the king of tabular file formats.\",92.0,28,True,2020-03-03 03:00:28.000000,1.0.5,33.0,csvkit,conda-forge/csvkit,,,,1561.0,859.0,https://pypi.org/project/csvkit,2020-03-03 03:00:28.000000,702.0,50882.0,51880.0,https://anaconda.org/conda-forge/csvkit,2019-05-28 12:30:50.171000,48912.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n182,librosa,librosa/librosa,,audio,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000000,2021-04-27 18:15:10.000000,2021-04-14 15:33:43.000000,722,70.0,799.0,4443,,Python library for audio and music analysis.,84.0,28,True,2020-07-22 01:34:55.000000,0.8.0,28.0,librosa,conda-forge/librosa,,,,12447.0,10697.0,https://pypi.org/project/librosa,2020-07-22 01:34:55.000000,1750.0,516194.0,521003.0,https://anaconda.org/conda-forge/librosa,2020-07-22 10:27:18.402000,274116.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n183,PyOD,yzhao062/pyod,,others,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04.000000,2021-04-27 02:04:22.000000,2021-04-27 01:56:37.000000,903,114.0,86.0,4436,1264.0,(JMLR'19) A Python Toolbox for Scalable Outlier Detection (Anomaly Detection).,23.0,28,True,2021-04-27 02:04:22.000000,V0.8.8,66.0,pyod,,,,,596.0,590.0,https://pypi.org/project/pyod,2021-04-27 02:01:41.000000,6.0,152882.0,152882.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n184,DEAP,deap/deap,,distributed-ml,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39.000000,2021-04-01 13:30:26.000000,2020-12-25 17:33:18.000000,877,207.0,227.0,4182,2147.0,Distributed Evolutionary Algorithms in Python.,67.0,28,False,2020-01-21 01:18:06.000000,1.3.1,16.0,deap,conda-forge/deap,,,,2273.0,1791.0,https://pypi.org/project/deap,2020-01-21 01:18:06.000000,482.0,115275.0,117463.0,https://anaconda.org/conda-forge/deap,2021-01-13 14:43:13.393000,126958.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n185,Kornia,kornia/kornia,,image,https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000000,2021-04-28 17:32:47.000000,2021-04-28 13:24:05.000000,381,93.0,302.0,3916,1559.0,Open Source Differentiable Computer Vision Library for PyTorch.,95.0,28,True,2021-03-17 09:10:52.000000,0.5.0,13.0,kornia,,,,['pytorch'],353.0,353.0,https://pypi.org/project/kornia,2021-03-17 09:10:52.000000,0.0,45157.0,45157.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n186,pyfolio,quantopian/pyfolio,,financial-data,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39.000000,2021-04-04 14:32:26.000000,2020-07-15 13:46:58.000000,1152,129.0,264.0,3721,1184.0,Portfolio and risk analytics in Python.,55.0,28,True,2019-04-15 15:00:21.000000,0.9.2,22.0,pyfolio,conda-forge/pyfolio,,,,288.0,234.0,https://pypi.org/project/pyfolio,2019-04-15 15:00:21.000000,54.0,8543.0,8706.0,https://anaconda.org/conda-forge/pyfolio,2020-05-16 14:11:57.267000,6206.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n187,imutils,jrosebr1/imutils,,image,https://github.com/jrosebr1/imutils,https://github.com/jrosebr1/imutils,MIT,2015-01-11 20:05:39.000000,2021-03-23 17:44:24.000000,2021-01-15 10:46:45.000000,891,134.0,76.0,3635,138.0,\"A series of convenience functions to make basic image processing operations such as translation, rotation, resizing,..\",20.0,28,True,2021-01-15 10:53:17.000000,0.5.4,29.0,imutils,conda-forge/imutils,,,,15293.0,14097.0,https://pypi.org/project/imutils,2021-01-15 10:53:17.000000,1196.0,236384.0,238562.0,https://anaconda.org/conda-forge/imutils,2021-01-15 14:27:25.471000,47925.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n188,Ignite,pytorch/ignite,,ml-frameworks,https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000000,2021-04-29 11:28:13.000000,2021-04-26 23:36:08.000000,448,104.0,701.0,3535,1094.0,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,136.0,28,True,2021-03-03 23:10:39.000000,0.4.4,538.0,pytorch-ignite,pytorch/ignite,,,['pytorch'],913.0,851.0,https://pypi.org/project/pytorch-ignite,2021-04-28 00:15:31.000000,62.0,55901.0,57632.0,https://anaconda.org/pytorch/ignite,2021-03-03 23:10:32.721000,58875.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n189,dyNET,clab/dynet,,ml-frameworks,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21.000000,2021-03-18 20:24:39.000000,2021-01-27 15:43:03.000000,703,259.0,661.0,3214,3267.0,DyNet: The Dynamic Neural Network Toolkit.,156.0,28,True,2020-10-21 14:31:01.000000,2.1.2,24.0,dyNET,,,,,213.0,175.0,https://pypi.org/project/dyNET,2020-10-21 14:31:01.000000,38.0,16446.0,16496.0,,,,,,,,3.0,,2722.0,,,,,,,,,,,,,,,,,,,,\n190,Dagster,dagster-io/dagster,,data-pipelines,https://github.com/dagster-io/dagster,https://github.com/dagster-io/dagster,Apache-2.0,2018-04-30 16:30:04.000000,2021-04-29 14:59:46.000000,2021-04-29 14:59:40.000000,345,568.0,2288.0,3186,7441.0,\"A data orchestrator for machine learning, analytics, and ETL.\",130.0,28,True,2021-04-23 18:03:45.000000,0.11.6,283.0,dagster,conda-forge/dagster,,,,163.0,159.0,https://pypi.org/project/dagster,2021-04-23 18:03:45.000000,4.0,53007.0,66105.0,https://anaconda.org/conda-forge/dagster,2021-04-28 18:05:55.228000,222682.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n191,bqplot,bqplot/bqplot,,data-viz,https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18.000000,2021-04-27 13:32:30.000000,2021-04-27 13:32:30.000000,404,193.0,333.0,3063,3333.0,Plotting library for IPython/Jupyter notebooks.,51.0,28,True,2021-04-21 13:59:07.421000,0.5.27,93.0,bqplot,conda-forge/bqplot,,,['jupyter'],146.0,24.0,https://pypi.org/project/bqplot,2021-04-08 11:30:01.000000,112.0,35567.0,61531.0,https://anaconda.org/conda-forge/bqplot,2021-04-21 14:28:06.059000,590326.0,,,,,2.0,-2.0,,,bqplot,https://www.npmjs.com/package/bqplot,2021-04-21 13:59:07.421000,10.0,15959.0,,,,,,,,,,,,,,\n192,Blaze,blaze/blaze,,data-containers,https://github.com/blaze/blaze,https://github.com/blaze/blaze,BSD-3-Clause,2012-10-26 14:25:22.000000,2020-02-01 19:33:09.000000,2019-08-15 21:14:59.000000,373,262.0,500.0,2946,7496.0,NumPy and Pandas interface to Big Data.,64.0,28,False,2016-07-19 20:40:03.000000,0.11.0,14.0,blaze,conda-forge/blaze,,,,9257.0,7635.0,https://pypi.org/project/blaze,2016-05-06 21:19:21.000000,1622.0,11625.0,15955.0,https://anaconda.org/conda-forge/blaze,2018-07-15 22:16:17.685000,190543.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n193,phonenumbers,daviddrysdale/python-phonenumbers,,nlp,https://github.com/daviddrysdale/python-phonenumbers,https://github.com/daviddrysdale/python-phonenumbers,Apache-2.0,2011-04-21 03:06:38.000000,2021-04-07 16:25:13.000000,2021-04-07 16:18:13.000000,337,3.0,119.0,2690,,Python port of Google's libphonenumber.,22.0,28,True,2021-04-07 16:25:13.000000,8.12.21,172.0,phonenumbers,conda-forge/phonenumbers,,,,2280.0,,https://pypi.org/project/phonenumbers,2021-04-07 16:25:13.000000,2280.0,1615672.0,1622736.0,https://anaconda.org/conda-forge/phonenumbers,2019-08-04 21:19:59.322000,409739.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n194,plotnine,has2k1/plotnine,,data-viz,https://github.com/has2k1/plotnine,https://github.com/has2k1/plotnine,GPL-2.0,2017-04-24 19:00:44.000000,2021-04-27 16:38:24.000000,2021-04-20 13:00:09.000000,137,61.0,367.0,2674,1690.0,A grammar of graphics for Python.,82.0,28,False,2021-03-25 12:57:10.000000,0.8.0,11.0,plotnine,conda-forge/plotnine,,,,2095.0,1841.0,https://pypi.org/project/plotnine,2021-03-25 10:49:20.000000,254.0,163308.0,165520.0,https://anaconda.org/conda-forge/plotnine,2021-03-25 12:31:04.423000,103989.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n195,datashader,holoviz/datashader,,data-viz,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000000,2021-04-24 03:45:35.000000,2021-04-13 11:40:15.000000,318,125.0,345.0,2481,1287.0,Quickly and accurately render even the largest data.,43.0,28,True,2021-03-22 15:23:27.000000,0.12.1,23.0,datashader,conda-forge/datashader,,,,736.0,666.0,https://pypi.org/project/datashader,2021-03-16 18:44:57.000000,70.0,37201.0,41396.0,https://anaconda.org/conda-forge/datashader,2021-04-13 11:22:49.633000,172012.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n196,sklearn-pandas,scikit-learn-contrib/sklearn-pandas,,data-containers,https://github.com/scikit-learn-contrib/sklearn-pandas,https://github.com/scikit-learn-contrib/sklearn-pandas,Zlib,2013-04-22 22:55:20.000000,2021-04-25 12:05:45.000000,2021-02-27 07:31:07.000000,392,31.0,120.0,2395,284.0,Pandas integration with sklearn.,37.0,28,False,2021-02-27 06:52:07.000000,2.1.0,26.0,sklearn-pandas,,,,\"['sklearn', 'pandas']\",2345.0,2123.0,https://pypi.org/project/sklearn-pandas,2021-02-27 06:52:07.000000,222.0,207579.0,207579.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n197,Keras Tuner,keras-team/keras-tuner,,hyperopt,https://github.com/keras-team/keras-tuner,https://github.com/keras-team/keras-tuner,Apache-2.0,2019-06-06 22:38:21.000000,2021-04-08 21:21:19.000000,2021-04-06 21:39:45.000000,271,145.0,155.0,2297,810.0,Hyperparameter tuning for humans.,35.0,28,True,2020-11-20 19:13:23.000000,1.0.2,5.0,keras-tuner,,,,['tensorflow'],544.0,540.0,https://pypi.org/project/keras-tuner,2020-11-20 19:00:59.000000,4.0,366295.0,366295.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n198,Cufflinks,santosjorge/cufflinks,,data-viz,https://github.com/santosjorge/cufflinks,https://github.com/santosjorge/cufflinks,MIT,2014-11-19 20:59:33.000000,2021-02-25 05:05:09.000000,2021-02-25 05:05:09.000000,535,81.0,121.0,2153,452.0,Productivity Tools for Plotly + Pandas.,38.0,28,True,2020-03-01 17:42:01.000000,0.17.3,27.0,cufflinks,,,,['pandas'],3443.0,3209.0,https://pypi.org/project/cufflinks,2020-03-01 17:42:01.000000,234.0,103538.0,103538.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n199,ta,bukosabino/ta,,financial-data,https://github.com/bukosabino/ta,https://github.com/bukosabino/ta,MIT,2018-01-02 18:08:48.000000,2021-04-11 20:31:36.000000,2020-11-29 21:08:14.000000,508,75.0,87.0,2073,582.0,Technical Analysis Library using Pandas and Numpy.,23.0,28,True,2020-11-29 10:49:09.000000,0.7.0,49.0,ta,,,,,533.0,521.0,https://pypi.org/project/ta,2020-11-29 10:49:09.000000,12.0,72145.0,72145.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n200,TF-Agents,tensorflow/agents,,reinforcement-learning,https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000000,2021-04-28 19:16:05.000000,2021-04-28 19:15:14.000000,497,104.0,348.0,1882,1727.0,\"TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.\",92.0,28,True,2021-01-05 18:41:58.000000,0.7.1,19.0,tf-agents,,,,['tensorflow'],457.0,445.0,https://pypi.org/project/tf-agents,2021-04-16 04:43:41.000000,12.0,15795.0,15795.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n201,Flax,google/flax,,ml-frameworks,https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000000,2021-04-29 12:57:49.000000,2021-04-29 12:57:25.000000,191,146.0,198.0,1675,1923.0,Flax is a neural network library for JAX that is designed for flexibility.,88.0,28,True,2021-03-31 14:19:21.000000,0.3.3,12.0,flax,,,,['jax'],149.0,143.0,https://pypi.org/project/flax,2021-03-31 14:19:21.000000,6.0,111910.0,111911.0,,,,,,,,3.0,,23.0,,,,,,,,,,,,,,,,,,,,\n202,textacy,chartbeat-labs/textacy,,nlp,https://github.com/chartbeat-labs/textacy,https://github.com/chartbeat-labs/textacy,Apache-2.0,2016-02-03 16:52:45.000000,2021-04-23 03:02:00.000000,2021-04-23 03:01:57.000000,226,28.0,204.0,1659,1610.0,\"NLP, before and after spaCy.\",30.0,28,True,2021-04-12 15:49:48.000000,0.11.0,30.0,textacy,conda-forge/textacy,,,,154.0,,https://pypi.org/project/textacy,2021-04-12 15:49:48.000000,154.0,209943.0,211750.0,https://anaconda.org/conda-forge/textacy,2021-04-13 18:57:20.207000,84946.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n203,igraph,igraph/python-igraph,,graph,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16.000000,2021-04-29 08:56:34.000000,2021-04-20 13:56:11.000000,185,23.0,280.0,808,1689.0,Python interface for igraph.,50.0,28,False,2021-03-26 10:08:11.000000,0.9.1,20.0,python-igraph,conda-forge/igraph,,,,2024.0,1600.0,https://pypi.org/project/python-igraph,2021-03-26 10:09:48.000000,424.0,87465.0,94041.0,https://anaconda.org/conda-forge/igraph,2021-04-15 13:28:46.335000,214479.0,,,,,1.0,,123293.0,,,,,,,,,,,,,,,,,,,,\n204,geojson,jazzband/geojson,,geospatial-data,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48.000000,2021-03-21 16:52:10.000000,2021-03-21 16:52:09.000000,85,20.0,52.0,617,448.0,Python bindings and utilities for GeoJSON.,44.0,28,True,2019-08-09 20:32:15.000000,2.5.0,28.0,geojson,conda-forge/geojson,,,,8275.0,6441.0,https://pypi.org/project/geojson,2019-08-09 20:32:15.000000,1834.0,661246.0,667713.0,https://anaconda.org/conda-forge/geojson,2019-08-11 12:10:34.426000,394544.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n205,DIPY,dipy/dipy,,medical-data,https://github.com/dipy/dipy,https://github.com/dipy/dipy,BSD-3-Clause,2010-02-06 11:43:08.000000,2021-04-28 19:05:18.000000,2021-04-25 12:55:02.000000,313,156.0,603.0,428,11500.0,\"DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal..\",120.0,28,True,2020-11-05 17:35:53.000000,1.3.0,22.0,dipy,conda-forge/dipy,,,,455.0,361.0,https://pypi.org/project/dipy,2021-03-14 14:05:15.000000,94.0,11807.0,15391.0,https://anaconda.org/conda-forge/dipy,2021-03-14 18:36:59.155000,211466.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n206,Cython BLIS,explosion/cython-blis,,others,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16.000000,2021-03-15 19:42:45.000000,2021-03-15 19:42:37.000000,25,6.0,16.0,168,526.0,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,9.0,28,True,2020-12-07 08:56:44.000000,0.7.4,35.0,blis,conda-forge/cython-blis,,,,10271.0,9881.0,https://pypi.org/project/blis,2020-12-07 08:56:44.000000,390.0,1789357.0,1815995.0,https://anaconda.org/conda-forge/cython-blis,2021-01-31 09:13:47.685000,665968.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n207,Streamlit,streamlit/streamlit,,others,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000000,2021-04-29 15:11:12.000000,2021-04-28 16:55:05.000000,1222,497.0,1202.0,14342,,Streamlit The fastest way to build data apps in Python.,101.0,27,True,2021-04-19 23:34:43.000000,0.80.0,128.0,streamlit,,,,,109.0,75.0,https://pypi.org/project/streamlit,2021-04-08 23:05:58.000000,34.0,246123.0,246123.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n208,NNI,microsoft/nni,,hyperopt,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44.000000,2021-04-29 06:10:01.000000,2021-04-28 07:36:45.000000,1305,260.0,951.0,9538,2058.0,\"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..\",129.0,27,True,2021-04-26 03:15:25.000000,2.2,40.0,nni,,,,,123.0,107.0,https://pypi.org/project/nni,2021-04-26 01:05:08.000000,16.0,3420.0,3420.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n209,pretrainedmodels,Cadene/pretrained-models.pytorch,,pytorch-utils,https://github.com/Cadene/pretrained-models.pytorch,https://github.com/Cadene/pretrained-models.pytorch,BSD-3-Clause,2017-04-09 15:54:23.000000,2020-06-08 16:06:59.000000,2020-04-16 08:02:22.000000,1655,88.0,88.0,7917,154.0,\"Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.\",22.0,27,True,2018-10-29 08:18:45.000000,0.7.4,16.0,pretrainedmodels,,,,['pytorch'],1090.0,986.0,https://pypi.org/project/pretrainedmodels,2018-10-29 08:18:45.000000,104.0,57631.0,57631.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n210,dgl,dmlc/dgl,,graph,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000000,2021-04-29 10:26:01.000000,2021-04-29 06:38:41.000000,1491,245.0,792.0,7192,1682.0,\"Python package built to ease deep learning on graph, on top of existing DL frameworks.\",124.0,27,True,2021-04-08 03:22:48.000000,0.6.1,422.0,dgl,,,,,30.0,,https://pypi.org/project/dgl,2021-04-29 09:51:56.000000,30.0,37225.0,37225.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n211,TensorLayer,tensorlayer/tensorlayer,,reinforcement-learning,https://github.com/tensorlayer/tensorlayer,https://github.com/tensorlayer/tensorlayer,Apache-2.0,2016-06-07 15:55:16.000000,2021-04-19 03:39:43.000000,2021-03-17 01:32:00.000000,1473,20.0,433.0,6568,3346.0,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,131.0,27,True,2021-01-06 07:16:21.000000,2.2.4,82.0,tensorlayer,,,,['tensorflow'],68.0,,https://pypi.org/project/tensorlayer,2020-06-19 00:53:37.000000,68.0,3505.0,3527.0,,,,,,,,2.0,,1257.0,,,,,,,,,,,,,,,,,,,,\n212,imageai,OlafenwaMoses/ImageAI,,image,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33.000000,2021-04-11 11:19:23.000000,2021-01-05 01:31:12.000000,1706,205.0,411.0,6097,290.0,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,13.0,27,True,2021-01-05 01:26:01.000000,2.1.6,10.0,imageai,,,,,826.0,802.0,https://pypi.org/project/imageai,2021-01-05 01:26:01.000000,24.0,16271.0,32179.0,,,,,,,,2.0,,572718.0,,,,,,,,,,,,,,,,,,,,\n213,EfficientNet-PyTorch,lukemelas/EfficientNet-PyTorch,,pytorch-utils,https://github.com/lukemelas/EfficientNet-PyTorch,https://github.com/lukemelas/EfficientNet-PyTorch,Apache-2.0,2019-05-30 05:24:11.000000,2021-04-15 15:17:23.000000,2021-04-15 15:16:36.000000,1143,109.0,130.0,5875,162.0,A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!).,24.0,27,True,2021-04-15 15:17:23.000000,0.7.1,13.0,efficientnet-pytorch,,,,['pytorch'],14.0,,https://pypi.org/project/efficientnet-pytorch,2021-04-15 15:17:23.000000,14.0,73420.0,109441.0,,,,,,,,1.0,,468280.0,,,,,,,,,,,,,,,,,,,,\n214,tsfresh,blue-yonder/tsfresh,,time-series-data,https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17.000000,2021-04-28 12:46:31.000000,2021-04-27 17:18:39.000000,869,41.0,423.0,5589,398.0,Automatic extraction of relevant features from time series:.,76.0,27,True,2021-03-06 08:49:53.000000,0.18.0,26.0,tsfresh,conda-forge/tsfresh,,,['sklearn'],66.0,,https://pypi.org/project/tsfresh,2020-09-09 21:08:22.000000,66.0,226892.0,227692.0,https://anaconda.org/conda-forge/tsfresh,2021-03-07 06:57:04.012000,32816.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n215,auto-sklearn,automl/auto-sklearn,,hyperopt,https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10.000000,2021-04-29 10:02:57.000000,2021-04-17 15:11:05.000000,1006,106.0,608.0,5384,2454.0,Automated Machine Learning with scikit-learn.,66.0,27,True,2021-04-20 16:07:35.000000,0.12.6,31.0,auto-sklearn,,,,['sklearn'],187.0,157.0,https://pypi.org/project/auto-sklearn,2021-04-20 16:07:35.000000,30.0,23253.0,23253.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n216,CleverHans,cleverhans-lab/cleverhans,,adversarial,https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04.000000,2021-04-28 13:26:45.000000,2021-04-20 08:51:08.000000,1271,25.0,416.0,5081,3194.0,\"An adversarial example library for constructing attacks, building defenses, and benchmarking both.\",123.0,27,True,2021-04-28 13:26:45.000000,3.1.0,7.0,cleverhans,,,,['tensorflow'],227.0,211.0,https://pypi.org/project/cleverhans,2021-04-28 13:26:45.000000,16.0,835.0,835.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n217,Datasette,simonw/datasette,,others,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000000,2021-04-29 13:58:10.000000,2021-04-24 06:07:37.000000,278,255.0,781.0,5033,1613.0,An open source multi-tool for exploring and publishing data.,49.0,27,True,2021-03-29 00:43:36.000000,0.56,92.0,datasette,,,,,479.0,409.0,https://pypi.org/project/datasette,2021-03-29 00:49:36.000000,70.0,18878.0,18878.0,,,,,,,,2.0,,29.0,,,,,,,,datasette,,,,,,,,,,,,\n218,PDFMiner,euske/pdfminer,,data-loading,https://github.com/euske/pdfminer,https://github.com/euske/pdfminer,MIT,2010-12-12 12:50:22.000000,2021-02-16 14:43:27.000000,2020-01-18 07:00:32.000000,1043,226.0,40.0,4564,540.0,Python PDF Parser (Not actively maintained). Check out pdfminer.six.,28.0,27,False,,,24.0,pdfminer,conda-forge/pdfminer,,,,3679.0,2213.0,https://pypi.org/project/pdfminer,2019-11-25 12:02:21.000000,1466.0,181579.0,181862.0,https://anaconda.org/conda-forge/pdfminer,2021-02-15 15:07:18.804000,15855.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n219,Tokenizers,huggingface/tokenizers,,nlp,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000000,2021-04-21 22:12:05.000000,2021-04-21 22:09:58.000000,332,98.0,322.0,4478,1453.0,Fast State-of-the-Art Tokenizers optimized for Research and Production.,40.0,27,True,2021-04-05 20:48:25.000000,python-v0.10.2,61.0,tokenizers,conda-forge/tokenizers,,,,32.0,32.0,https://pypi.org/project/tokenizers,2021-04-05 21:14:02.000000,0.0,2327253.0,2332501.0,https://anaconda.org/conda-forge/tokenizers,2021-03-10 20:31:28.913000,47238.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n220,OCRmyPDF,jbarlow83/OCRmyPDF,,ocr,https://github.com/jbarlow83/OCRmyPDF,https://github.com/jbarlow83/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000000,2021-04-27 06:32:26.000000,2021-04-26 08:18:57.000000,443,89.0,604.0,4168,2943.0,\"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.\",53.0,27,True,2021-04-27 06:32:26.000000,12.0.1,171.0,ocrmypdf,,,,,155.0,143.0,https://pypi.org/project/ocrmypdf,2021-04-27 06:32:26.000000,12.0,19219.0,19219.0,,,,,,,,2.0,,,,,,,,,,ocrmypdf,ocrmypdf,,,,,,,,,,,\n221,skorch,skorch-dev/skorch,,ml-frameworks,https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000000,2021-04-29 10:57:17.000000,2021-04-29 10:57:17.000000,283,44.0,331.0,3924,953.0,A scikit-learn compatible neural network library that wraps PyTorch.,40.0,27,True,2021-03-23 15:34:51.000000,0.10.0,13.0,skorch,conda-forge/skorch,,,\"['pytorch', 'sklearn']\",327.0,301.0,https://pypi.org/project/skorch,2021-03-23 15:32:29.000000,26.0,14992.0,23011.0,https://anaconda.org/conda-forge/skorch,2021-03-24 00:24:03.810000,248593.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n222,InterpretML,interpretml/interpret,,interpretability,https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000000,2021-04-29 00:29:58.000000,2021-04-29 00:20:48.000000,448,66.0,122.0,3700,1488.0,Fit interpretable models. Explain blackbox machine learning.,23.0,27,True,2021-01-20 02:12:33.000000,0.2.4,34.0,interpret,,,,['jupyter'],75.0,73.0,https://pypi.org/project/interpret,2021-01-20 02:10:35.000000,2.0,28534.0,28534.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n223,lightfm,lyst/lightfm,,recommender-systems,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00.000000,2021-03-25 21:33:37.000000,2021-02-07 21:16:06.000000,584,79.0,340.0,3588,428.0,\"A Python implementation of LightFM, a hybrid recommendation algorithm.\",44.0,27,True,2020-11-27 19:48:30.000000,1.16,14.0,lightfm,conda-forge/lightfm,,,,502.0,446.0,https://pypi.org/project/lightfm,2020-11-27 19:55:08.000000,56.0,156520.0,158784.0,https://anaconda.org/conda-forge/lightfm,2021-02-07 22:19:58.097000,88327.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n224,Perspective,finos/perspective,,data-viz,https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000000,2021-04-28 08:57:49.000000,2021-04-27 23:16:48.000000,363,73.0,340.0,3342,4429.0,Streaming pivot visualization via WebAssembly.,62.0,27,True,2021-04-28 03:16:56.000000,0.8.0,43.0,perspective-python,,,,['jupyter'],192.0,184.0,https://pypi.org/project/perspective-python,2021-04-28 03:16:56.000000,8.0,1921.0,3944.0,,,,,,,,2.0,,,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2021-04-27 22:07:08.811000,,2023.0,,,,,,,,,,,,,,\n225,Alpha Vantage,RomelTorres/alpha_vantage,,financial-data,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00.000000,2021-02-17 12:42:04.000000,2020-12-21 19:51:57.000000,591,14.0,225.0,3300,497.0,A python wrapper for Alpha Vantage API for financial data.,36.0,27,True,2020-12-21 02:37:29.000000,2.3.1,28.0,alpha_vantage,,,,,202.0,,https://pypi.org/project/alpha_vantage,2018-08-26 18:55:11.000000,202.0,30563.0,30563.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n226,Jina,jina-ai/jina,,ml-frameworks,https://github.com/jina-ai/jina,https://github.com/jina-ai/jina,Apache-2.0,2020-02-13 17:04:44.000000,2021-04-29 13:13:39.000000,2021-04-29 12:36:55.000000,430,77.0,699.0,3179,5226.0,An easier way to build neural search on the cloud.,94.0,27,True,2021-04-29 03:54:20.000000,1.2.0,601.0,jina,,jinaai/jina,,,59.0,59.0,https://pypi.org/project/jina,2021-04-29 12:38:28.000000,,14424.0,32675.0,,,,https://hub.docker.com/r/jinaai/jina,2021-04-29 12:52:37.304163,2.0,255527.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n227,missingno,ResidentMario/missingno,,data-viz,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50.000000,2021-04-27 16:05:07.000000,2021-04-27 16:05:07.000000,353,19.0,88.0,2756,171.0,Missing data visualization module for Python.,16.0,27,True,2019-07-09 16:05:14.000000,0.4.2,22.0,missingno,conda-forge/missingno,,,,3686.0,3534.0,https://pypi.org/project/missingno,2019-07-09 16:05:14.000000,152.0,324609.0,326561.0,https://anaconda.org/conda-forge/missingno,2020-02-15 10:07:41.253000,87878.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n228,pomegranate,jmschrei/pomegranate,,probabilistics,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000000,2021-03-29 16:51:20.000000,2021-03-29 16:50:31.000000,483,44.0,556.0,2661,891.0,\"Fast, flexible and easy to use probabilistic modelling in Python.\",62.0,27,True,2021-03-19 08:09:51.000000,0.14.3,65.0,pomegranate,conda-forge/pomegranate,,,,498.0,442.0,https://pypi.org/project/pomegranate,2021-03-29 16:51:20.000000,56.0,44308.0,46925.0,https://anaconda.org/conda-forge/pomegranate,2020-11-01 16:22:04.857000,54973.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n229,Catalyst,catalyst-team/catalyst,,ml-experiments,https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13.000000,2021-04-29 11:47:26.000000,2021-04-27 05:52:22.000000,306,13.0,287.0,2547,1520.0,Accelerated deep learning R&D.,85.0,27,True,2021-04-19 07:05:54.000000,21.04.1,93.0,catalyst,,,,['pytorch'],378.0,340.0,https://pypi.org/project/catalyst,2021-04-19 07:02:22.000000,38.0,13038.0,13038.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n230,eli5,TeamHG-Memex/eli5,,interpretability,https://github.com/TeamHG-Memex/eli5,https://github.com/TeamHG-Memex/eli5,MIT,2016-09-15 01:04:57.000000,2021-01-25 08:24:59.385000,2020-01-22 07:39:36.000000,296,145.0,110.0,2351,1198.0,A library for debugging/inspecting machine learning classifiers and explaining their predictions.,14.0,27,False,2021-01-23 14:25:24.000000,0.11.0,28.0,eli5,conda-forge/eli5,,,,110.0,,https://pypi.org/project/eli5,2021-01-23 14:25:24.000000,110.0,499904.0,501890.0,https://anaconda.org/conda-forge/eli5,2021-01-25 08:24:59.385000,93365.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n231,gpustat,wookayin/gpustat,,gpu-utilities,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43.000000,2021-03-23 06:32:48.000000,2021-03-23 06:32:48.000000,195,19.0,49.0,2346,168.0,A simple command-line utility for querying and monitoring GPU status.,12.0,27,True,2019-07-22 06:37:00.000000,0.6.0,11.0,gpustat,conda-forge/gpustat,,,,860.0,802.0,https://pypi.org/project/gpustat,2021-01-02 05:59:41.000000,58.0,397771.0,399826.0,https://anaconda.org/conda-forge/gpustat,2020-11-24 19:59:04.772000,51391.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n232,pygal,Kozea/pygal,,graph,https://github.com/Kozea/pygal,https://github.com/Kozea/pygal,LGPL-3.0,2011-09-23 10:17:50.000000,2021-04-18 11:29:44.000000,2021-03-18 13:12:51.000000,382,164.0,240.0,2340,1014.0,PYthon svg GrAph plotting Library.,70.0,27,False,2017-07-05 09:22:41.000000,2.4.0,74.0,pygal,conda-forge/pygal,,,,1152.0,,https://pypi.org/project/pygal,2020-10-14 13:06:35.000000,1152.0,108086.0,108374.0,https://anaconda.org/conda-forge/pygal,2019-06-04 02:55:56.728000,6342.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n233,implicit,benfred/implicit,,recommender-systems,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000000,2021-04-26 22:50:39.000000,2021-04-25 20:49:42.000000,490,84.0,260.0,2333,306.0,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,29.0,27,True,2020-09-15 22:01:38.000000,0.4.4,34.0,implicit,conda-forge/implicit,,,,450.0,406.0,https://pypi.org/project/implicit,2020-09-15 22:01:38.000000,44.0,61559.0,67524.0,https://anaconda.org/conda-forge/implicit,2020-11-24 06:44:37.378000,232655.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n234,Core ML Tools,apple/coremltools,,model-serialisation,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000000,2021-04-28 23:43:56.000000,2021-04-09 19:43:53.000000,358,345.0,350.0,2205,869.0,\"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.\",112.0,27,True,2021-02-05 02:07:15.000000,4.1,28.0,coremltools,,,,,772.0,506.0,https://pypi.org/project/coremltools,2021-02-05 01:28:44.000000,266.0,61828.0,61887.0,,,,,,,,1.0,,2568.0,,,,,,,,,,,,,,,,,,,,\n235,Foolbox,bethgelab/foolbox,,adversarial,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48.000000,2021-04-20 14:00:54.000000,2021-03-19 11:36:39.000000,338,54.0,264.0,1876,1645.0,\"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.\",31.0,27,True,2021-02-23 07:09:34.000000,3.3.1,68.0,foolbox,,,,,201.0,183.0,https://pypi.org/project/foolbox,2021-02-23 07:07:53.000000,18.0,2578.0,2578.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n236,PyFunctional,EntilZha/PyFunctional,,data-pipelines,https://github.com/EntilZha/PyFunctional,https://github.com/EntilZha/PyFunctional,MIT,2015-02-05 17:17:51.000000,2021-03-03 14:08:08.000000,2021-03-03 14:08:00.000000,99,3.0,116.0,1843,517.0,Python library for creating data pipelines with chain functional programming.,23.0,27,True,2021-01-12 19:21:07.000000,1.4.3,14.0,pyfunctional,,,,,282.0,282.0,https://pypi.org/project/pyfunctional,2021-01-12 19:14:48.000000,0.0,71456.0,71456.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n237,langid,saffsd/langid.py,,nlp,https://github.com/saffsd/langid.py,https://github.com/saffsd/langid.py,BSD-3-Clause,2011-04-29 00:16:56.000000,2020-01-01 10:49:30.000000,2017-07-15 02:49:17.000000,266,25.0,45.0,1778,242.0,Stand-alone language identification system.,9.0,27,False,2016-04-05 22:34:15.000000,1.1.6,8.0,langid,,,,,922.0,672.0,https://pypi.org/project/langid,2016-04-05 22:34:15.000000,250.0,744351.0,744351.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n238,filterpy,rlabbe/filterpy,,probabilistics,https://github.com/rlabbe/filterpy,https://github.com/rlabbe/filterpy,MIT,2014-07-15 02:15:19.000000,2021-04-22 16:38:58.000000,2021-02-08 17:55:48.000000,417,31.0,150.0,1775,536.0,\"Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman..\",33.0,27,True,2018-10-10 22:38:24.000000,1.4.5,48.0,filterpy,conda-forge/filterpy,,,,1027.0,815.0,https://pypi.org/project/filterpy,2018-10-10 22:38:24.000000,212.0,39799.0,41106.0,https://anaconda.org/conda-forge/filterpy,2020-05-05 21:13:59.073000,60137.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n239,MNE,mne-tools/mne-python,,medical-data,https://github.com/mne-tools/mne-python,https://github.com/mne-tools/mne-python,BSD-3-Clause,2011-01-28 03:31:13.000000,2021-04-29 11:57:29.000000,2021-04-29 01:48:56.000000,913,332.0,3310.0,1584,,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,256.0,27,True,2021-04-27 19:00:31.000000,0.23.0,52.0,mne,conda-forge/mne,,,,1133.0,935.0,https://pypi.org/project/mne,2021-04-27 19:00:31.000000,198.0,39710.0,42267.0,https://anaconda.org/conda-forge/mne,2021-04-27 21:31:05.562000,127870.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n240,Ax,facebook/Ax,,hyperopt,https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000000,2021-04-29 06:57:32.000000,2021-04-28 19:06:19.000000,152,42.0,224.0,1476,1110.0,Adaptive Experimentation Platform.,96.0,27,True,2021-02-24 16:59:13.000000,0.1.20,21.0,ax-platform,,,,['pytorch'],162.0,158.0,https://pypi.org/project/ax-platform,2021-02-24 16:59:13.000000,4.0,42631.0,42631.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n241,datasketch,ekzhu/datasketch,,data-containers,https://github.com/ekzhu/datasketch,https://github.com/ekzhu/datasketch,MIT,2015-03-20 01:21:46.000000,2021-02-24 19:51:10.000000,2021-02-24 19:46:37.000000,207,20.0,92.0,1472,194.0,\"MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble.\",17.0,27,True,2020-12-23 21:01:43.000000,1.5.3,75.0,datasketch,,,,,362.0,276.0,https://pypi.org/project/datasketch,2020-12-23 21:01:43.000000,86.0,243301.0,243301.0,,,,,,,,3.0,,16.0,,,,,,,,,,,,,,,,,,,,\n242,tesserocr,sirfz/tesserocr,,ocr,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36.000000,2021-03-27 15:02:05.000000,2021-03-23 20:36:58.000000,201,63.0,148.0,1440,157.0,A Python wrapper for the tesseract-ocr API.,24.0,27,True,2020-03-17 17:45:44.000000,2.5.1,15.0,tesserocr,conda-forge/tesserocr,,,,588.0,488.0,https://pypi.org/project/tesserocr,2020-03-17 17:45:44.000000,100.0,74335.0,76739.0,https://anaconda.org/conda-forge/tesserocr,2021-01-13 16:38:14.456000,43284.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n243,GPflow,GPflow/GPflow,,probabilistics,https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000000,2021-04-29 14:49:29.000000,2021-04-29 11:29:44.000000,404,103.0,607.0,1428,2229.0,Gaussian processes in TensorFlow.,71.0,27,True,2021-04-29 14:49:29.000000,2.2.1,31.0,gpflow,conda-forge/gpflow,,,['tensorflow'],278.0,244.0,https://pypi.org/project/gpflow,2021-04-29 14:49:29.000000,34.0,4694.0,4944.0,https://anaconda.org/conda-forge/gpflow,2018-11-06 08:51:39.744000,8758.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n244,Model Analysis,tensorflow/model-analysis,,interpretability,https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000000,2021-04-28 20:36:22.000000,2021-04-26 21:17:44.000000,217,27.0,37.0,1052,953.0,Model analysis tools for TensorFlow.,35.0,27,True,2021-04-21 20:35:18.000000,0.30.0,37.0,tensorflow-model-analysis,,,,\"['tensorflow', 'jupyter']\",20.0,,https://pypi.org/project/tensorflow-model-analysis,2021-04-21 20:51:14.000000,20.0,5711505.0,5711505.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n245,agate,wireservice/agate,,others,https://github.com/wireservice/agate,https://github.com/wireservice/agate,MIT,2014-04-25 13:59:09.000000,2021-03-10 22:20:57.000000,2021-03-10 22:04:12.000000,132,54.0,588.0,1037,1356.0,A Python data analysis library that is optimized for humans instead of machines.,47.0,27,True,2018-03-11 14:37:30.000000,1.6.1,24.0,agate,conda-forge/agate,,,,791.0,549.0,https://pypi.org/project/agate,2018-03-11 14:37:30.000000,242.0,488460.0,489720.0,https://anaconda.org/conda-forge/agate,2018-08-19 06:02:58.597000,63029.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n246,Mesh,tensorflow/mesh,,distributed-ml,https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34.000000,2021-04-27 22:28:05.000000,2021-04-27 22:26:46.000000,163,79.0,13.0,993,605.0,Mesh TensorFlow: Model Parallelism Made Easier.,41.0,27,True,2021-03-24 19:03:46.000000,0.1.19,25.0,mesh-tensorflow,,,,['tensorflow'],578.0,522.0,https://pypi.org/project/mesh-tensorflow,2021-03-24 19:03:46.000000,56.0,116637.0,116637.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n247,petl,petl-developers/petl,,data-pipelines,https://github.com/petl-developers/petl,https://github.com/petl-developers/petl,MIT,2011-08-19 09:51:03.000000,2021-04-17 17:45:24.000000,2021-04-17 17:45:24.000000,153,68.0,346.0,878,1144.0,Python Extract Transform and Load Tables of Data.,46.0,27,True,2021-03-27 03:06:14.000000,1.7.4,79.0,petl,conda-forge/petl,,http://petl.readthedocs.org,,499.0,385.0,https://pypi.org/project/petl,2021-03-27 03:06:14.000000,114.0,34404.0,34829.0,https://anaconda.org/conda-forge/petl,2021-04-05 21:49:41.242000,23420.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n248,pmdarima,alkaline-ml/pmdarima,,time-series-data,https://github.com/alkaline-ml/pmdarima,https://github.com/alkaline-ml/pmdarima,MIT,2017-03-30 14:58:30.000000,2021-04-19 22:48:13.000000,2021-04-19 21:26:02.000000,163,18.0,215.0,872,1029.0,\"A statistical library designed to fill the void in Python's time series analysis capabilities, including the..\",17.0,27,True,2021-04-19 22:17:02.000000,1.8.2,33.0,pmdarima,,,,,914.0,902.0,https://pypi.org/project/pmdarima,2021-04-19 22:17:02.000000,12.0,392168.0,392168.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n249,PyVista,pyvista/pyvista,,data-viz,https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000000,2021-04-29 02:57:29.000000,2021-04-29 02:57:29.000000,153,137.0,308.0,780,2181.0,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,56.0,27,True,2021-04-14 05:45:14.000000,0.29.1,41.0,pyvista,conda-forge/pyvista,,,['jupyter'],333.0,307.0,https://pypi.org/project/pyvista,2021-04-14 05:45:14.000000,26.0,27024.0,30510.0,https://anaconda.org/conda-forge/pyvista,2021-04-14 12:11:54.123000,80162.0,,,,,2.0,,71.0,,,,,,,,,,,,,,,,,,,,\n250,patsy,pydata/patsy,,probabilistics,https://github.com/pydata/patsy,https://github.com/pydata/patsy,BSD-2-Clause,2012-07-10 12:30:06.000000,2020-09-09 13:00:29.000000,2018-10-31 21:55:48.000000,85,78.0,52.0,745,517.0,Describing statistical models in Python using symbolic formulas.,13.0,27,False,2018-10-28 05:07:55.000000,0.5.1,8.0,patsy,conda-forge/patsy,,,,38341.0,33417.0,https://pypi.org/project/patsy,2018-10-28 03:59:51.000000,4924.0,2624736.0,2677058.0,https://anaconda.org/conda-forge/patsy,2018-10-28 05:21:35.412000,2930057.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n251,zarr,zarr-developers/zarr-python,,data-containers,https://github.com/zarr-developers/zarr-python,https://github.com/zarr-developers/zarr-python,MIT,2015-12-15 14:49:40.000000,2021-04-29 05:47:34.000000,2021-04-29 05:47:33.000000,116,188.0,236.0,689,1396.0,\"An implementation of chunked, compressed, N-dimensional arrays for Python.\",39.0,27,True,2021-04-27 06:16:31.000000,2.8.1,35.0,zarr,conda-forge/zarr,,,,730.0,658.0,https://pypi.org/project/zarr,2021-04-27 06:16:31.000000,72.0,96861.0,108826.0,https://anaconda.org/conda-forge/zarr,2021-04-27 10:29:22.665000,705990.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n252,data-validation,tensorflow/data-validation,,data-viz,https://github.com/tensorflow/data-validation,https://github.com/tensorflow/data-validation,Apache-2.0,2018-07-02 15:47:02.000000,2021-04-27 01:48:59.000000,2021-04-27 01:48:55.000000,95,37.0,86.0,537,615.0,Library for exploring and validating machine learning data.,20.0,27,True,2021-04-21 22:22:08.000000,0.30.0,27.0,tensorflow-data-validation,,,,\"['tensorflow', 'jupyter']\",285.0,267.0,https://pypi.org/project/tensorflow-data-validation,2021-04-21 22:22:08.000000,18.0,6085022.0,6085028.0,,,,,,,,2.0,,211.0,,,,,,,,,,,,,,,,,,,,\n253,audioread,beetbox/audioread,,audio,https://github.com/beetbox/audioread,https://github.com/beetbox/audioread,MIT,2011-11-08 19:53:18.000000,2021-03-16 02:44:53.632000,2020-10-20 11:22:05.000000,83,31.0,44.0,361,232.0,cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python.,20.0,27,True,2020-10-20 11:23:09.000000,2.1.9,25.0,audioread,conda-forge/audioread,,,,5407.0,4821.0,https://pypi.org/project/audioread,2020-10-20 11:23:09.000000,586.0,511993.0,515917.0,https://anaconda.org/conda-forge/audioread,2021-03-16 02:44:53.632000,223686.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n254,CNTK,microsoft/CNTK,,ml-frameworks,https://github.com/microsoft/CNTK,https://github.com/microsoft/CNTK,MIT,2015-11-26 09:52:06.000000,2020-12-09 22:21:57.000000,2020-03-31 15:55:14.000000,4409,836.0,2520.0,16994,16116.0,\"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.\",266.0,26,False,2019-04-26 14:13:32.000000,2.7,32.0,cntk,,,,,34.0,,https://pypi.org/project/cntk,2020-12-09 22:21:57.000000,34.0,1965.0,2182.0,,,,,,,,3.0,,13684.0,,,,,,,,,,,,,,,,,,,,\n255,DeepSpeech,mozilla/DeepSpeech,,audio,https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53.000000,2021-03-31 15:32:56.000000,,3125,103.0,,16952,,\"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..\",93.0,26,True,2020-12-10 17:22:09.000000,0.9.3,100.0,deepspeech,,,,['tensorflow'],58.0,,https://pypi.org/project/deepspeech,2020-12-19 10:05:12.000000,58.0,17355.0,17355.0,,,,,,,,2.0,-5.0,,,,,,,,,,,,,,,,,,,,,\n256,InsightFace,deepinsight/insightface,,image,https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,MIT,2017-09-01 00:36:51.000000,2021-04-27 14:10:49.000000,2021-04-27 14:10:49.000000,3049,725.0,704.0,9042,1519.0,Face Analysis Project on MXNet and PyTorch.,17.0,26,True,2019-09-07 13:47:11.000000,0.1.5,6.0,insightface,,,,['mxnet'],69.0,67.0,https://pypi.org/project/insightface,2019-09-07 13:47:11.000000,2.0,3286.0,3286.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n257,Ludwig,ludwig-ai/ludwig,,ml-frameworks,https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000000,2021-04-29 02:23:35.000000,2021-04-29 01:40:13.000000,887,116.0,426.0,7658,2112.0,Ludwig is a toolbox that allows to train and evaluate deep learning models without the need to write code.,91.0,26,True,2021-02-01 00:23:30.000000,0.3.3,17.0,ludwig,,,,['tensorflow'],97.0,85.0,https://pypi.org/project/ludwig,2021-02-01 00:16:18.000000,12.0,2062.0,2062.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n258,ParlAI,facebookresearch/ParlAI,,nlp,https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44.000000,2021-04-29 14:08:21.000000,2021-04-29 14:08:20.000000,1475,98.0,888.0,7151,3733.0,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,147.0,26,True,2021-04-23 13:45:44.000000,1.2.0,16.0,parlai,,,,['pytorch'],21.0,21.0,https://pypi.org/project/parlai,2021-04-23 13:41:57.000000,0.0,2627.0,2627.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n259,PySyft,OpenMined/PySyft,,privacy-ml,https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,Apache-2.0,2017-07-18 20:41:16.000000,2021-04-29 15:13:18.000000,2021-04-28 17:34:33.000000,1591,189.0,2697.0,7115,7791.0,A library for answering questions using data you cannot see.,368.0,26,True,2020-11-12 19:57:58.000000,0.3.0,50.0,syft,,,,['pytorch'],6.0,,https://pypi.org/project/syft,2021-04-01 11:31:12.000000,6.0,3605.0,3605.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n260,Facets Overview,pair-code/facets,,data-viz,https://github.com/PAIR-code/facets,https://github.com/PAIR-code/facets,Apache-2.0,2017-07-07 14:03:03.000000,2021-02-04 17:22:42.000000,2021-02-04 17:22:41.000000,834,76.0,76.0,6558,262.0,Visualizations for machine learning datasets.,28.0,26,True,2019-07-24 15:57:06.000000,1.0.0,4.0,facets-overview,,,,['jupyter'],48.0,42.0,https://pypi.org/project/facets-overview,2019-07-24 15:57:06.000000,6.0,110945.0,110945.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n261,backtrader,mementum/backtrader,,financial-data,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52.000000,2021-04-20 15:18:39.000000,2021-02-11 20:51:09.000000,1921,22.0,,6289,2383.0,Python Backtesting library for trading strategies.,51.0,26,False,,,155.0,backtrader,,,,,609.0,539.0,https://pypi.org/project/backtrader,2020-07-03 13:02:14.000000,70.0,33852.0,33852.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n262,carla,carla-simulator/carla,,others,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000000,2021-04-29 15:20:59.000000,2021-04-21 21:38:33.000000,1689,325.0,2845.0,5897,4761.0,Open-source simulator for autonomous driving research.,122.0,26,True,2020-12-23 07:08:35.000000,0.9.11,22.0,carla,,,,,68.0,64.0,https://pypi.org/project/carla,2019-04-28 17:45:24.000000,4.0,931.0,931.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n263,featuretools,alteryx/featuretools,,hyperopt,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17.000000,2021-04-28 22:00:54.000000,2021-04-26 15:23:56.000000,718,114.0,427.0,5536,,An open source python library for automated feature engineering.,49.0,26,True,2021-03-31 23:42:30.000000,0.23.3,70.0,featuretools,conda-forge/featuretools,,,,795.0,725.0,https://pypi.org/project/featuretools,2021-03-31 23:43:45.000000,70.0,217054.0,218884.0,https://anaconda.org/conda-forge/featuretools,2021-04-07 15:01:00.520000,51261.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n264,scikit-surprise,NicolasHug/Surprise,,recommender-systems,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38.000000,2020-10-13 01:22:58.850000,2020-08-05 17:45:59.000000,861,51.0,288.0,4824,622.0,A Python scikit for building and analyzing recommender systems.,38.0,26,True,2020-07-19 14:50:48.000000,1.1.1,9.0,scikit-surprise,conda-forge/scikit-surprise,,,,1085.0,1037.0,https://pypi.org/project/scikit-surprise,2020-07-19 14:50:48.000000,48.0,49035.0,53410.0,https://anaconda.org/conda-forge/scikit-surprise,2020-10-13 01:22:58.850000,170644.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n265,PyTorch3D,facebookresearch/pytorch3d,,image,https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,MIT,2019-10-25 02:23:45.000000,2021-04-28 16:34:55.000000,2021-04-28 16:34:50.000000,567,76.0,489.0,4749,416.0,PyTorch3D is FAIR's library of reusable components for deep learning with 3D data.,57.0,26,True,2021-02-09 23:13:45.000000,0.4.0,7.0,pytorch3d,pytorch3d/pytorch3d,,,['pytorch'],70.0,70.0,https://pypi.org/project/pytorch3d,2021-02-09 23:13:45.000000,0.0,8401.0,8948.0,https://anaconda.org/pytorch3d/pytorch3d,2021-02-09 22:34:07.773000,9308.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n266,Metaflow,Netflix/metaflow,,ml-experiments,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000000,2021-04-29 00:59:32.000000,2021-04-29 00:59:31.000000,363,142.0,151.0,4309,209.0,Build and manage real-life data science projects with ease.,31.0,26,True,2021-04-22 20:56:16.000000,2.2.10,20.0,metaflow,conda-forge/metaflow,,,,124.0,122.0,https://pypi.org/project/metaflow,2021-04-22 21:45:42.000000,2.0,47292.0,48233.0,https://anaconda.org/conda-forge/metaflow,2021-04-23 00:53:10.018000,15060.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n267,Lucid,tensorflow/lucid,,interpretability,https://github.com/tensorflow/lucid,https://github.com/tensorflow/lucid,Apache-2.0,2018-01-25 17:41:44.000000,2021-03-19 16:01:00.000000,2021-03-19 15:48:33.000000,592,65.0,97.0,4185,667.0,A collection of infrastructure and tools for research in neural network interpretability.,40.0,26,True,2021-03-19 16:01:00.000000,0.3.10,17.0,lucid,,,,['tensorflow'],557.0,551.0,https://pypi.org/project/lucid,2021-03-19 16:01:00.000000,6.0,1678.0,1678.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n268,pyAudioAnalysis,tyiannak/pyAudioAnalysis,,audio,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13.000000,2021-04-20 14:36:11.000000,2021-04-20 14:36:07.000000,963,165.0,107.0,3888,678.0,\"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.\",23.0,26,True,2020-09-29 21:30:02.000000,0.3.6,15.0,pyAudioAnalysis,,,,,223.0,201.0,https://pypi.org/project/pyAudioAnalysis,2020-09-29 21:30:02.000000,22.0,14636.0,14636.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n269,espnet,espnet/espnet,,audio,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000000,2021-04-28 17:22:18.000000,2021-04-26 22:21:56.000000,1145,165.0,1133.0,3725,11183.0,End-to-End Speech Processing Toolkit.,147.0,26,True,2021-04-07 04:52:16.000000,0.9.9,34.0,espnet,,,,,7.0,7.0,https://pypi.org/project/espnet,2021-04-07 04:52:16.000000,0.0,2494.0,2495.0,,,,,,,,2.0,,61.0,,,,,,,,,,,,,,,,,,,,\n270,yellowbrick,DistrictDataLabs/yellowbrick,,interpretability,https://github.com/DistrictDataLabs/yellowbrick,https://github.com/DistrictDataLabs/yellowbrick,Apache-2.0,2016-05-18 14:12:17.000000,2021-04-22 11:36:21.000000,2021-04-22 11:36:21.000000,478,95.0,531.0,3198,848.0,Visual analysis and diagnostic tools to facilitate machine learning model selection.,97.0,26,True,2021-02-13 20:31:18.000000,1.3.post1,22.0,yellowbrick,,,,['sklearn'],62.0,,https://pypi.org/project/yellowbrick,2021-02-13 20:42:26.000000,62.0,155406.0,155406.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n271,Hub,activeloopai/Hub,,data-pipelines,https://github.com/activeloopai/Hub,https://github.com/activeloopai/Hub,MPL-2.0,2019-08-09 06:17:59.000000,2021-04-29 14:25:14.000000,2021-04-29 13:58:08.000000,238,24.0,230.0,3179,2114.0,Fastest unstructured dataset management for TensorFlow/PyTorch. Stream data real-time & version-control it...,76.0,26,True,2021-04-29 14:25:14.000000,1.3.5,89.0,hub,,,,\"['tensorflow', 'pytorch']\",177.0,125.0,https://pypi.org/project/hub,2021-04-29 14:25:14.000000,52.0,2974.0,2974.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n272,AutoGluon,awslabs/autogluon,,hyperopt,https://github.com/awslabs/autogluon,https://github.com/awslabs/autogluon,Apache-2.0,2019-07-29 18:51:24.000000,2021-04-29 09:04:19.000000,2021-04-29 01:31:54.000000,404,130.0,318.0,3142,588.0,\"AutoGluon: AutoML for Text, Image, and Tabular Data.\",56.0,26,True,2021-04-28 22:25:13.000000,0.2.0,401.0,autogluon,,,,['mxnet'],50.0,50.0,https://pypi.org/project/autogluon,2021-04-29 09:04:19.000000,0.0,30114.0,30114.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n273,Stable Baselines,hill-a/stable-baselines,,reinforcement-learning,https://github.com/hill-a/stable-baselines,https://github.com/hill-a/stable-baselines,MIT,2018-07-02 14:28:59.000000,2021-04-19 22:11:48.000000,2021-04-19 22:11:45.000000,604,128.0,748.0,3094,836.0,\"A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.\",110.0,26,True,2021-04-06 12:37:09.000000,2.10.2,31.0,stable-baselines,,,,,50.0,,https://pypi.org/project/stable-baselines,2021-04-06 12:37:09.000000,50.0,14474.0,14474.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n274,pytorch-summary,sksq96/pytorch-summary,,pytorch-utils,https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04.000000,2021-03-11 12:50:20.000000,2020-08-07 01:16:40.000000,360,116.0,36.0,3065,56.0,Model summary in PyTorch similar to `model.summary()` in Keras.,11.0,26,True,2018-09-26 05:07:28.000000,1.5.1,12.0,torchsummary,,,,['pytorch'],2505.0,2387.0,https://pypi.org/project/torchsummary,2018-09-26 05:07:28.000000,118.0,69530.0,69530.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n275,textract,deanmalmgren/textract,,data-loading,https://github.com/deanmalmgren/textract,https://github.com/deanmalmgren/textract,MIT,2014-07-03 20:36:59.000000,2021-04-19 14:04:08.000000,2019-11-14 08:37:39.000000,424,84.0,121.0,2993,556.0,extract text from any document. no muss. no fuss.,30.0,26,False,2019-08-26 15:05:53.000000,1.6.3,15.0,textract,conda-forge/textract,,,,192.0,,https://pypi.org/project/textract,2019-08-26 15:05:53.000000,192.0,43500.0,43701.0,https://anaconda.org/conda-forge/textract,2017-03-20 21:15:33.254000,11100.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n276,vaderSentiment,cjhutto/vaderSentiment,,nlp,https://github.com/cjhutto/vaderSentiment,https://github.com/cjhutto/vaderSentiment,MIT,2014-11-17 16:31:45.000000,2021-04-16 20:16:53.000000,2021-03-15 18:43:06.000000,762,31.0,74.0,2949,127.0,VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based..,10.0,26,True,2020-05-22 15:07:00.000000,3.3.2,15.0,vadersentiment,,,,,2850.0,2564.0,https://pypi.org/project/vadersentiment,2020-05-22 15:07:00.000000,286.0,140219.0,140219.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n277,TensorForce,tensorforce/tensorforce,,reinforcement-learning,https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22.000000,2021-04-20 21:34:39.000000,2021-04-20 21:34:34.000000,495,11.0,554.0,2932,2034.0,Tensorforce: a TensorFlow library for applied reinforcement learning.,76.0,26,True,2021-03-22 21:45:44.000000,0.6.3,12.0,tensorforce,,,,['tensorflow'],46.0,,https://pypi.org/project/tensorforce,2019-09-07 13:56:18.000000,46.0,1838.0,1838.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n278,nevergrad,facebookresearch/nevergrad,,hyperopt,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000000,2021-04-28 20:26:03.000000,2021-04-26 13:41:24.000000,279,84.0,129.0,2923,821.0,A Python toolbox for performing gradient-free optimization.,42.0,26,True,2021-01-28 12:05:40.000000,0.4.3,30.0,nevergrad,conda-forge/nevergrad,,,,176.0,162.0,https://pypi.org/project/nevergrad,2021-04-19 09:16:19.000000,14.0,27626.0,28295.0,https://anaconda.org/conda-forge/nevergrad,2020-12-14 18:21:29.267000,8036.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n279,DeepChem,deepchem/deepchem,,others,https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000000,2021-04-29 12:59:45.000000,2021-04-21 07:59:09.000000,968,368.0,881.0,2904,6408.0,\"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.\",159.0,26,True,2021-03-18 03:10:52.000000,2.5.0,251.0,deepchem,,,,['tensorflow'],42.0,38.0,https://pypi.org/project/deepchem,2021-04-21 08:01:48.000000,4.0,5322.0,5322.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n280,VisPy,vispy/vispy,,data-viz,https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22.000000,2021-04-28 21:23:43.000000,2021-04-28 21:22:10.000000,546,354.0,822.0,2635,,High-performance interactive 2D/3D data visualization library.,150.0,26,True,2020-12-14 15:55:00.000000,0.6.6,16.0,vispy,conda-forge/vispy,,,['jupyter'],613.0,491.0,https://pypi.org/project/vispy,2020-11-28 02:55:50.000000,122.0,34498.0,37961.0,https://anaconda.org/conda-forge/vispy,2021-01-13 03:28:46.609000,142076.0,,,,,3.0,-3.0,,,vispy,https://www.npmjs.com/package/vispy,2020-03-15 14:39:41.516000,,81.0,,,,,,,,,,,,,,\n281,ClearML,allegroai/clearml,,ml-experiments,https://github.com/allegroai/clearml,https://github.com/allegroai/clearml,Apache-2.0,2019-06-10 08:18:32.000000,2021-04-28 19:12:27.000000,2021-04-28 15:45:45.000000,340,79.0,215.0,2387,1148.0,\"ClearML - Auto-Magical Suite of tools to streamline your ML workflow. Experiment Manager, ML-Ops and Data-Management.\",28.0,26,True,2021-03-16 14:57:31.000000,0.17.5,40.0,clearml,,allegroai/trains,,,31.0,31.0,https://pypi.org/project/clearml,2021-04-11 22:23:08.000000,0.0,17356.0,18734.0,,,,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,30033.0,2.0,,300.0,,,,,,,,,,,,,,,,,,,,\n282,Captum,pytorch/captum,,interpretability,https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000000,2021-04-28 12:54:12.000000,2021-04-23 23:31:53.000000,231,49.0,169.0,2303,805.0,Model interpretability and understanding for PyTorch.,70.0,26,True,2021-01-23 18:11:12.000000,0.3.1,5.0,captum,,,,['pytorch'],159.0,159.0,https://pypi.org/project/captum,2021-01-22 20:55:47.000000,0.0,19131.0,19131.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n283,GluonNLP,dmlc/gluon-nlp,,nlp,https://github.com/dmlc/gluon-nlp,https://github.com/dmlc/gluon-nlp,Apache-2.0,2018-04-04 20:57:13.000000,2021-04-29 10:32:32.000000,2021-04-22 00:11:47.000000,508,252.0,289.0,2270,834.0,\"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..\",81.0,26,True,2020-08-13 19:17:42.000000,0.10.0,26.0,gluonnlp,,,,['mxnet'],481.0,459.0,https://pypi.org/project/gluonnlp,2020-08-13 19:17:42.000000,22.0,46042.0,46042.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n284,aubio,aubio/aubio,,audio,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44.000000,2021-04-13 18:12:28.000000,2021-01-19 09:51:49.000000,307,114.0,174.0,2099,4111.0,a library for audio and music analysis.,24.0,26,False,2019-02-27 09:00:43.000000,0.4.9,10.0,aubio,conda-forge/aubio,,,,253.0,217.0,https://pypi.org/project/aubio,2019-02-08 11:21:02.000000,36.0,2528.0,11013.0,https://anaconda.org/conda-forge/aubio,2021-01-19 16:59:52.641000,415804.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n285,spark-nlp,JohnSnowLabs/spark-nlp,,nlp,https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000000,2021-04-29 12:24:51.000000,2021-04-29 12:02:26.000000,436,76.0,393.0,2090,7886.0,State of the Art Natural Language Processing.,84.0,26,True,2021-04-21 14:13:37.000000,3.0.2,83.0,spark-nlp,,,,['spark'],0.0,,https://pypi.org/project/spark-nlp,2021-04-21 13:20:50.000000,0.0,685866.0,685866.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n286,scikit-plot,reiinakano/scikit-plot,,interpretability,https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59.000000,2021-02-26 14:37:45.000000,2018-08-19 12:37:47.000000,249,21.0,39.0,2072,130.0,An intuitive library to add plotting functionality to scikit-learn objects.,13.0,26,False,2018-08-19 12:21:01.000000,0.3.7,27.0,scikit-plot,conda-forge/scikit-plot,,,['sklearn'],959.0,905.0,https://pypi.org/project/scikit-plot,2018-08-19 12:18:46.000000,54.0,121117.0,123060.0,https://anaconda.org/conda-forge/scikit-plot,2019-06-05 14:23:59.043000,87460.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n287,facenet-pytorch,timesler/facenet-pytorch,,image,https://github.com/timesler/facenet-pytorch,https://github.com/timesler/facenet-pytorch,MIT,2019-05-25 01:29:24.000000,2021-04-27 06:05:32.000000,2021-04-27 06:05:32.000000,435,35.0,86.0,2030,233.0,Pretrained Pytorch face detection (MTCNN) and recognition (InceptionResnet) models.,14.0,26,True,2021-03-10 01:00:20.000000,2.5.2,31.0,facenet-pytorch,,,,['pytorch'],344.0,338.0,https://pypi.org/project/facenet-pytorch,2021-03-10 01:00:20.000000,6.0,26305.0,31344.0,,,,,,,,2.0,,85668.0,,,,,,,,,,,,,,,,,,,,\n288,ipyparallel,ipython/ipyparallel,,distributed-ml,https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,BSD-3-Clause,2015-04-09 07:43:55.000000,2021-04-29 11:00:07.000000,2021-04-29 11:00:07.000000,768,146.0,107.0,1952,,Interactive Parallel Computing in Python.,98.0,26,True,2020-05-05 18:42:38.000000,6.3.0,21.0,ipyparallel,conda-forge/ipyparallel,,,['jupyter'],2007.0,1517.0,https://pypi.org/project/ipyparallel,2020-05-05 18:42:38.000000,490.0,175560.0,182679.0,https://anaconda.org/conda-forge/ipyparallel,2021-01-22 17:12:52.539000,427164.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n289,BoTorch,pytorch/botorch,,hyperopt,https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000000,2021-04-28 10:49:33.000000,2021-04-27 22:37:03.000000,196,43.0,136.0,1929,891.0,Bayesian optimization in PyTorch.,53.0,26,True,2021-02-23 21:33:59.000000,0.4.0,16.0,botorch,,,,['pytorch'],111.0,111.0,https://pypi.org/project/botorch,2020-12-08 06:47:25.000000,0.0,56733.0,56733.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n290,polyglot,aboSamoor/polyglot,,nlp,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,GPL-3.0,2014-06-30 02:07:45.000000,2021-04-28 03:41:03.000000,2020-09-22 22:35:28.000000,292,132.0,64.0,1822,271.0,Multilingual text (NLP) processing toolkit.,26.0,26,False,2016-07-03 20:05:42.000000,16.7.4,8.0,polyglot,,,,,612.0,482.0,https://pypi.org/project/polyglot,2016-07-03 20:05:42.000000,130.0,76689.0,76689.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n291,TorchServe,pytorch/serve,,model-serialisation,https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000000,2021-04-28 01:37:07.000000,2021-04-22 00:46:42.000000,270,160.0,440.0,1746,1223.0,Model Serving on PyTorch.,67.0,26,True,2021-03-15 22:31:02.000000,0.3.1,7.0,torchserve,pytorch/torchserve,pytorch/torchserve,,['pytorch'],41.0,41.0,https://pypi.org/project/torchserve,2021-03-15 21:14:14.000000,0.0,9353.0,13238.0,https://anaconda.org/pytorch/torchserve,2021-03-18 18:37:54.539000,7984.0,https://hub.docker.com/r/pytorch/torchserve,2020-12-18 18:32:51.570336,3.0,57669.0,2.0,,206.0,,,,,,,,,,,,,,,,,,,,\n292,haystack,deepset-ai/haystack,,nlp,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000000,2021-04-29 14:05:42.000000,2021-04-27 14:44:40.000000,324,83.0,492.0,1743,606.0,End-to-end Python framework for building natural language search interfaces to data. Leverages Transformers and the..,43.0,26,True,2021-04-13 15:04:29.000000,0.8.0,34.0,haystack,,,,,213.0,47.0,https://pypi.org/project/haystack,2017-07-03 04:44:52.000000,166.0,1459.0,1459.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n293,Pythran,serge-sans-paille/pythran,,others,https://github.com/serge-sans-paille/pythran,https://github.com/serge-sans-paille/pythran,BSD-3-Clause,2012-05-29 08:02:14.000000,2021-04-29 03:03:21.000000,2021-04-27 05:57:47.000000,140,104.0,564.0,1535,3361.0,Ahead of Time compiler for numeric kernels.,54.0,26,True,2021-03-31 17:17:15.000000,0.9.9,46.0,pythran,conda-forge/pythran,,,,78.0,52.0,https://pypi.org/project/pythran,2021-03-31 17:17:15.000000,26.0,11485.0,15729.0,https://anaconda.org/conda-forge/pythran,2021-04-01 20:02:42.397000,148568.0,,,,,2.0,,,,,,,,,,,,,,,pythran,python-pythran,,,,,,\n294,hnswlib,nmslib/hnswlib,,nn-search,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000000,2021-04-27 04:48:45.000000,2021-02-04 04:34:33.000000,263,91.0,109.0,1475,275.0,Header-only C++/python library for fast approximate nearest neighbors.,41.0,26,True,2021-02-04 04:55:19.000000,0.5.1,5.0,hnswlib,,,,,116.0,114.0,https://pypi.org/project/hnswlib,2021-02-04 04:55:19.000000,2.0,37210.0,37210.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n295,Elephas,maxpumperla/elephas,,distributed-ml,https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19.000000,2021-04-23 12:34:45.000000,2021-04-21 22:10:18.000000,287,22.0,123.0,1470,496.0,Distributed Deep learning with Keras & Spark.,27.0,26,True,2021-04-23 12:34:45.000000,2.1.0,21.0,elephas,,,,\"['keras', 'spark']\",43.0,40.0,https://pypi.org/project/elephas,2021-04-21 22:11:22.000000,3.0,15447.0,15447.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n296,jellyfish,jamesturk/jellyfish,,nlp,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,BSD-2-Clause,2010-07-09 20:41:11.000000,2021-04-21 13:56:29.000000,2021-04-21 13:56:29.000000,128,12.0,89.0,1438,,a python library for doing approximate and phonetic matching of strings.,22.0,26,True,2020-05-21 20:37:01.000000,0.8.2,27.0,jellyfish,conda-forge/jellyfish,,,,2970.0,2324.0,https://pypi.org/project/jellyfish,2020-05-21 20:37:01.000000,646.0,1428480.0,1430740.0,https://anaconda.org/conda-forge/jellyfish,2021-01-08 15:04:47.681000,124343.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n297,TFX,tensorflow/tfx,,data-pipelines,https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000000,2021-04-29 08:22:46.000000,2021-04-29 07:18:21.000000,425,239.0,358.0,1405,3402.0,TFX is an end-to-end platform for deploying production ML pipelines.,113.0,26,True,2021-04-12 20:14:54.000000,0.29.0,45.0,tfx,,,,['tensorflow'],4.0,,https://pypi.org/project/tfx,2021-04-01 02:35:31.000000,4.0,221834.0,221834.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n298,petastorm,uber/petastorm,,distributed-ml,https://github.com/uber/petastorm,https://github.com/uber/petastorm,Apache-2.0,2018-06-15 23:15:29.000000,2021-04-28 23:14:07.000000,2021-04-28 17:33:46.000000,197,134.0,116.0,1135,628.0,Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets..,38.0,26,True,2020-12-15 18:37:49.000000,0.9.8,66.0,petastorm,,,,,29.0,29.0,https://pypi.org/project/petastorm,2021-04-28 18:01:20.000000,0.0,95176.0,95184.0,,,,,,,,2.0,,288.0,,,,,,,,,,,,,,,,,,,,\n299,TF Model Optimization,tensorflow/model-optimization,,tensorflow-utils,https://github.com/tensorflow/model-optimization,https://github.com/tensorflow/model-optimization,Apache-2.0,2018-10-31 20:34:28.000000,2021-04-29 14:31:41.000000,2021-04-29 03:57:42.000000,240,87.0,117.0,1031,542.0,\"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.\",49.0,26,True,2020-09-14 04:46:03.000000,0.5.0,21.0,tensorflow-model-optimization,,,,['tensorflow'],765.0,759.0,https://pypi.org/project/tensorflow-model-optimization,2021-04-19 08:49:52.000000,6.0,143554.0,143554.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n300,arviz,arviz-devs/arviz,,interpretability,https://github.com/arviz-devs/arviz,https://github.com/arviz-devs/arviz,Apache-2.0,2015-07-29 11:51:10.000000,2021-04-29 15:25:40.000000,2021-04-27 16:47:40.000000,203,119.0,468.0,996,,Exploratory analysis of Bayesian models with Python.,79.0,26,True,2021-02-21 19:39:56.000000,0.11.2,23.0,arviz,conda-forge/arviz,,,,883.0,847.0,https://pypi.org/project/arviz,2021-02-21 19:39:56.000000,36.0,212919.0,224245.0,https://anaconda.org/conda-forge/arviz,2021-04-20 19:35:43.998000,260449.0,,,,,2.0,,98.0,,,,,,,,,,,,,,,,,,,,\n301,fancyimpute,iskandr/fancyimpute,,sklearn-utils,https://github.com/iskandr/fancyimpute,https://github.com/iskandr/fancyimpute,Apache-2.0,2015-11-05 23:39:34.000000,2021-03-30 16:22:41.000000,2021-01-25 00:27:51.000000,150,3.0,104.0,959,198.0,Multivariate imputation and matrix completion algorithms implemented in Python.,11.0,26,True,2021-03-30 16:22:41.000000,0.5.5,26.0,fancyimpute,,,,['sklearn'],953.0,911.0,https://pypi.org/project/fancyimpute,2020-07-16 21:36:59.000000,42.0,16207.0,16207.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n302,bcolz,Blosc/bcolz,,data-containers,https://github.com/Blosc/bcolz,https://github.com/Blosc/bcolz,BSD-3-Clause,2010-08-18 15:27:02.000000,2021-04-02 08:59:38.000000,2020-09-10 12:12:45.000000,117,126.0,122.0,915,1280.0,A columnar data container that can be compressed.,33.0,26,True,2018-04-13 07:44:26.000000,1.2.1,23.0,bcolz,conda-forge/bcolz,,,,2530.0,1562.0,https://pypi.org/project/bcolz,2018-04-13 07:44:26.000000,968.0,28928.0,33690.0,https://anaconda.org/conda-forge/bcolz,2019-11-05 21:09:48.045000,238137.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n303,kmodes,nicodv/kmodes,,others,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40.000000,2021-03-07 06:05:41.000000,2021-03-07 06:05:39.000000,341,18.0,111.0,839,462.0,\"Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data.\",17.0,26,True,2021-02-13 03:34:23.000000,0.11.0,13.0,kmodes,,,,,547.0,521.0,https://pypi.org/project/kmodes,2021-02-13 03:26:34.000000,26.0,106863.0,106863.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n304,pyclustering,annoviko/pyclustering,,others,https://github.com/annoviko/pyclustering,https://github.com/annoviko/pyclustering,BSD-3-Clause,2014-02-25 18:59:03.000000,2021-02-12 23:22:26.000000,2021-02-12 19:04:59.000000,194,49.0,584.0,823,2079.0,\"pyclustring is a Python, C++ data mining library.\",26.0,26,True,2020-11-25 22:33:07.000000,0.10.1.2,46.0,pyclustering,conda-forge/pyclustering,,,,227.0,191.0,https://pypi.org/project/pyclustering,2020-11-25 22:41:20.000000,36.0,37471.0,38711.0,https://anaconda.org/conda-forge/pyclustering,2021-01-25 21:14:55.053000,19760.0,,,,,2.0,,321.0,,,,,,,,,,,,,,,,,,,,\n305,TensorFlow Text,tensorflow/text,,nlp,https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000000,2021-04-26 15:41:54.000000,2021-04-26 15:31:33.000000,87,45.0,94.0,725,378.0,Making text a first-class citizen in TensorFlow.,37.0,26,True,2021-01-13 04:36:01.000000,2.4.3,33.0,tensorflow-text,,,,['tensorflow'],626.0,622.0,https://pypi.org/project/tensorflow-text,2021-04-06 23:21:59.000000,4.0,362905.0,362905.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n306,pythreejs,jupyter-widgets/pythreejs,,data-viz,https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,BSD-3-Clause,2013-12-23 17:02:11.000000,2021-03-02 13:32:39.505000,2021-02-26 14:01:59.000000,158,62.0,141.0,722,1659.0,A Jupyter - Three.js bridge.,27.0,26,True,2021-02-26 14:01:21.000000,2.3.0,43.0,pythreejs,conda-forge/pythreejs,,,['jupyter'],49.0,15.0,https://pypi.org/project/pythreejs,2021-02-26 14:01:21.000000,26.0,23635.0,38108.0,https://anaconda.org/conda-forge/pythreejs,2021-03-02 13:32:39.505000,293537.0,,,,,3.0,,,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,2021-02-26 13:59:06.062000,8.0,9498.0,,,,,,,,,,,,,,\n307,CLTK,cltk/cltk,,nlp,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000000,2021-04-25 03:22:38.000000,2021-04-13 02:37:02.000000,300,128.0,372.0,658,3566.0,The Classical Language Toolkit.,111.0,26,True,2021-04-13 02:45:30.000000,1.0.11,181.0,cltk,,,,,229.0,161.0,https://pypi.org/project/cltk,2021-04-13 02:45:30.000000,68.0,3537.0,3537.0,,,,,,,,2.0,,22.0,,,,,,,,,,,,,,,,,,,,\n308,pyahocorasick,WojciechMula/pyahocorasick,,nlp,https://github.com/WojciechMula/pyahocorasick,https://github.com/WojciechMula/pyahocorasick,BSD-3-Clause,2013-05-30 19:55:46.000000,2021-03-27 18:19:12.000000,2021-03-27 17:10:43.000000,88,33.0,68.0,601,412.0,Python module (C extension and plain python) implementing Aho-Corasick algorithm.,21.0,26,True,2021-03-27 18:19:12.000000,1.4.2,24.0,pyahocorasick,conda-forge/pyahocorasick,,,,675.0,571.0,https://pypi.org/project/pyahocorasick,2021-03-27 18:19:12.000000,104.0,212848.0,215847.0,https://anaconda.org/conda-forge/pyahocorasick,2020-10-13 12:20:05.350000,119969.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n309,SMAC3,automl/SMAC3,,hyperopt,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-3-Clause,2016-08-17 10:58:05.000000,2021-04-12 07:55:03.000000,2020-10-29 10:14:55.000000,159,77.0,251.0,575,1888.0,Sequential Model-based Algorithm Configuration.,30.0,26,True,2021-03-15 08:26:39.000000,0.13.1,29.0,smac,,,,,58.0,,https://pypi.org/project/smac,2020-10-29 10:57:56.000000,58.0,34767.0,34767.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n310,Intake,intake/intake,,data-loading,https://github.com/intake/intake,https://github.com/intake/intake,BSD-2-Clause,2017-08-14 20:44:22.000000,2021-04-22 18:28:33.000000,2021-04-22 18:28:24.000000,99,77.0,196.0,552,1678.0,\"Intake is a lightweight package for finding, investigating, loading and disseminating data.\",60.0,26,True,2021-03-16 19:53:00.000000,0.6.2,21.0,intake,conda-forge/intake,,,,325.0,251.0,https://pypi.org/project/intake,2021-03-16 19:53:00.000000,74.0,9704.0,12243.0,https://anaconda.org/conda-forge/intake,2021-03-16 21:22:12.681000,73649.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n311,inflect,jaraco/inflect,,nlp,https://github.com/jaraco/inflect,https://github.com/jaraco/inflect,MIT,2010-06-20 13:43:13.000000,2021-03-26 19:47:09.000000,2021-03-23 00:21:53.000000,59,13.0,63.0,508,,\"Correctly generate plurals, ordinals, indefinite articles; convert numbers to words.\",29.0,26,True,2021-03-03 01:35:47.000000,5.3.0,33.0,inflect,conda-forge/inflect,,,,1388.0,,https://pypi.org/project/inflect,2021-03-03 01:35:47.000000,1388.0,1753467.0,1756578.0,https://anaconda.org/conda-forge/inflect,2021-03-03 03:46:48.932000,149343.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n312,tabulator-py,frictionlessdata/tabulator-py,,data-loading,https://github.com/frictionlessdata/tabulator-py,https://github.com/frictionlessdata/tabulator-py,MIT,2015-08-24 05:34:38.000000,2021-03-22 13:33:49.000000,2021-03-22 13:33:48.000000,42,1.0,177.0,204,657.0,Python library for reading and writing tabular data via streams.,25.0,26,True,2021-03-21 07:47:00.000000,1.53.5,141.0,tabulator,conda-forge/tabulator-py,,,,629.0,525.0,https://pypi.org/project/tabulator,2021-03-21 07:47:00.000000,104.0,214705.0,215593.0,https://anaconda.org/conda-forge/tabulator-py,2018-07-24 12:57:07.018000,40893.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n313,spleeter,deezer/spleeter,,audio,https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000000,2021-04-21 09:27:54.000000,2021-04-15 15:19:31.000000,1687,84.0,458.0,16274,461.0,Deezer source separation library including pretrained models.,17.0,25,True,2021-04-15 15:05:07.000000,2.2.2,33.0,spleeter,conda-forge/spleeter,,,['tensorflow'],0.0,,https://pypi.org/project/spleeter,2021-04-15 15:05:07.000000,0.0,10680.0,71048.0,https://anaconda.org/conda-forge/spleeter,2020-06-30 14:33:43.220000,49630.0,,,,,3.0,,1034098.0,,,,,,,,,,,,,,,,,,,,\n314,MMDetection,open-mmlab/mmdetection,,image,https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000000,2021-04-29 09:32:44.000000,2021-04-29 01:34:52.000000,4906,365.0,3426.0,14673,1533.0,OpenMMLab Detection Toolbox and Benchmark.,214.0,25,True,2021-04-02 07:41:57.000000,2.11.0,11.0,,,,,['pytorch'],40.0,40.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n315,PaddleOCR,PaddlePaddle/PaddleOCR,,ocr,https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000000,2021-04-29 14:20:38.000000,2021-04-29 09:03:17.000000,2412,681.0,1126.0,12251,,\"Awesome multilingual OCR toolkits based on PaddlePaddle practical ultra lightweight OCR system, support 80+ languages..\",56.0,25,True,2021-04-19 06:46:17.000000,2.1.0,13.0,paddleocr,,,,['paddle'],92.0,92.0,https://pypi.org/project/paddleocr,2021-04-13 04:02:10.000000,0.0,4758.0,4758.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n316,Turi Create,apple/turicreate,,ml-frameworks,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04.000000,2021-04-28 21:08:43.000000,2021-03-31 19:36:36.000000,1091,476.0,1264.0,10234,,Turi Create simplifies the development of custom machine learning models.,82.0,25,True,2020-09-30 22:51:40.000000,6.4.1,31.0,turicreate,,,,,270.0,236.0,https://pypi.org/project/turicreate,2020-09-30 22:51:40.000000,34.0,29157.0,29257.0,,,,,,,,3.0,-3.0,4020.0,,,,,,,,,,,,,,,,,,,,\n317,pysc2,deepmind/pysc2,,others,https://github.com/deepmind/pysc2,https://github.com/deepmind/pysc2,Apache-2.0,2017-07-25 18:16:57.000000,2020-07-29 16:22:31.000000,2019-09-27 15:23:22.000000,1103,57.0,203.0,7244,513.0,StarCraft II Learning Environment.,34.0,25,False,2019-09-27 15:48:01.000000,3.0.0,7.0,pysc2,,,,,280.0,240.0,https://pypi.org/project/pysc2,2019-09-27 15:48:01.000000,40.0,1163.0,1763.0,,,,,,,,2.0,,26440.0,,,,,,,,,,,,,,,,,,,,\n318,NuPIC,numenta/nupic,,ml-frameworks,https://github.com/numenta/nupic,https://github.com/numenta/nupic,AGPL-3.0,2013-04-05 23:14:27.000000,2021-03-25 21:39:47.000000,2019-10-23 20:45:07.000000,1585,456.0,1337.0,6227,6625.0,\"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..\",121.0,25,False,2018-06-01 15:37:54.000000,1.0.5,53.0,nupic,,,,,133.0,95.0,https://pypi.org/project/nupic,2018-06-01 15:37:54.000000,38.0,3097.0,3097.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n319,PyText,facebookresearch/pytext,,nlp,https://github.com/facebookresearch/pytext,https://github.com/facebookresearch/pytext,BSD-3-Clause,2018-07-31 23:40:46.000000,2021-04-28 20:47:11.000000,2021-04-28 20:47:07.000000,787,131.0,74.0,6173,1545.0,A natural language modeling framework based on PyTorch.,184.0,25,True,2020-06-08 23:30:58.000000,0.3.3,13.0,pytext-nlp,,,,['pytorch'],76.0,75.0,https://pypi.org/project/pytext-nlp,2020-06-08 22:49:33.000000,1.0,647.0,655.0,,,,,,,,3.0,,224.0,,,,,,,,,,,,,,,,,,,,\n320,Trax,google/trax,,others,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000000,2021-04-28 23:42:21.000000,2021-04-28 23:42:04.000000,587,89.0,108.0,6093,1474.0,Trax Deep Learning with Clear Code and Speed.,68.0,25,True,2021-04-26 19:17:01.000000,1.3.8,21.0,trax,,,,,26.0,26.0,https://pypi.org/project/trax,2021-04-26 17:53:01.000000,,4829.0,4829.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n321,Vaex,vaexio/vaex,,data-containers,https://github.com/vaexio/vaex,https://github.com/vaexio/vaex,MIT,2014-09-27 09:44:42.000000,2021-04-29 09:08:01.000000,2021-04-26 10:05:55.000000,463,319.0,439.0,6071,3010.0,\"Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualize and explore big tabular data at a billion..\",41.0,25,True,2021-03-18 09:19:49.000000,4.1.0,51.0,vaex,conda-forge/vaex,,,,4.0,,https://pypi.org/project/vaex,2021-03-18 09:19:49.000000,4.0,11827.0,13738.0,https://anaconda.org/conda-forge/vaex,2021-03-09 14:33:41.948000,103095.0,,,,,3.0,,206.0,,,,,,,,,,,,,,,,,,,,\n322,Milvus,milvus-io/milvus,,nn-search,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000000,2021-04-29 11:27:06.000000,2021-04-29 09:47:44.000000,862,204.0,2040.0,5609,6804.0,\"An open source embedding vector similarity search engine powered by Faiss, NMSLIB and Annoy.\",134.0,25,True,2021-04-29 11:27:06.000000,1.1.0,47.0,pymilvus,,milvusdb/milvus,,,6.0,,https://pypi.org/project/pymilvus,2021-04-29 11:27:06.000000,6.0,15741.0,32550.0,,,,https://hub.docker.com/r/milvusdb/milvus,2021-04-29 08:06:22.779281,11.0,319378.0,2.0,,,,,,,,,,,,,,,,,,,,,,\n323,stanza,stanfordnlp/stanza,,nlp,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56.000000,2021-04-29 13:44:08.000000,2021-02-10 16:16:29.000000,678,55.0,439.0,5379,,Official Stanford NLP Python Library for Many Human Languages.,32.0,25,True,2021-01-29 20:05:25.000000,1.2.0,10.0,stanza,stanfordnlp/stanza,,,,445.0,441.0,https://pypi.org/project/stanza,2021-01-27 16:31:43.000000,4.0,40871.0,41144.0,https://anaconda.org/stanfordnlp/stanza,2021-01-27 22:24:06.992000,3561.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n324,keras-rl,keras-rl/keras-rl,,reinforcement-learning,https://github.com/keras-rl/keras-rl,https://github.com/keras-rl/keras-rl,MIT,2016-07-02 15:53:12.000000,2020-11-20 07:32:13.000000,2019-11-11 22:14:54.000000,1284,39.0,211.0,5030,308.0,Deep Reinforcement Learning for Keras.,40.0,25,False,2018-06-01 07:52:24.000000,0.4.2,8.0,keras-rl,,,,['tensorflow'],584.0,482.0,https://pypi.org/project/keras-rl,2018-06-01 07:52:24.000000,102.0,2868.0,2868.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n325,DeepSpeed,microsoft/DeepSpeed,,distributed-ml,https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,MIT,2020-01-23 18:35:18.000000,2021-04-29 13:51:58.000000,2021-04-29 12:05:37.000000,450,192.0,238.0,4814,535.0,\"DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.\",49.0,25,True,2021-04-19 16:31:10.000000,0.3.15,23.0,deepspeed,,deepspeed/deepspeed,,['pytorch'],26.0,26.0,https://pypi.org/project/deepspeed,2021-04-19 16:23:45.000000,0.0,40930.0,41475.0,,,,https://hub.docker.com/r/deepspeed/deepspeed,2021-02-20 21:35:37.092937,2.0,8184.0,2.0,,,,,,,,,,,,,,,,,,,,,,\n326,Edward,blei-lab/edward,,probabilistics,https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05.000000,2019-10-22 20:30:48.000000,2018-07-25 01:28:08.000000,767,212.0,327.0,4623,1796.0,\"A probabilistic programming language in TensorFlow. Deep generative models, variational inference.\",87.0,25,False,2018-01-22 06:03:37.000000,1.3.5,28.0,edward,,,,['tensorflow'],295.0,217.0,https://pypi.org/project/edward,2018-01-22 06:03:05.000000,78.0,2101.0,2101.0,,,,,,,,3.0,,14.0,,,,,,,,,,,,,,,,,,,,\n327,Augmentor,mdbloice/Augmentor,,image,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55.000000,2020-11-10 05:20:01.000000,2020-03-09 11:32:02.000000,805,118.0,67.0,4400,511.0,Image augmentation library in Python for machine learning.,22.0,25,False,2020-01-17 11:59:53.000000,0.2.8,20.0,Augmentor,,,,,340.0,298.0,https://pypi.org/project/Augmentor,2020-01-17 11:59:53.000000,42.0,15441.0,15441.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n328,Great Expectations,great-expectations/great_expectations,,data-pipelines,https://github.com/great-expectations/great_expectations,https://github.com/great-expectations/great_expectations,Apache-2.0,2017-09-11 00:18:46.000000,2021-04-28 21:52:29.000000,2021-04-27 21:13:07.000000,529,217.0,639.0,4310,,Always know what to expect from your data.,184.0,25,True,2021-04-24 00:01:07.000000,0.13.19,110.0,great_expectations,,,,,6.0,,https://pypi.org/project/great_expectations,2021-04-23 23:47:28.000000,6.0,636535.0,636535.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n329,VisualDL,PaddlePaddle/VisualDL,,ml-experiments,https://github.com/PaddlePaddle/VisualDL,https://github.com/PaddlePaddle/VisualDL,Apache-2.0,2017-12-20 12:34:31.000000,2021-04-26 15:01:40.000000,2021-04-19 03:31:54.000000,539,30.0,319.0,3909,,Deep Learning Visualization Toolkit.,29.0,25,True,2021-02-01 09:03:52.000000,2.1.1,31.0,visualdl,,,,['paddle'],283.0,273.0,https://pypi.org/project/visualdl,2021-01-29 09:44:14.000000,10.0,11858.0,11868.0,,,,,,,,3.0,,109.0,,,,,,,,,,,,,,,,,,,,\n330,BigDL,intel-analytics/BigDL,,distributed-ml,https://github.com/intel-analytics/BigDL,https://github.com/intel-analytics/BigDL,Apache-2.0,2016-08-29 07:59:50.000000,2021-04-21 02:14:37.000000,2021-04-21 02:14:37.000000,906,185.0,728.0,3724,2664.0,BigDL: Distributed Deep Learning Framework for Apache Spark.,72.0,25,True,2021-04-21 01:53:25.000000,0.12.2,39.0,bigdl,,,,,31.0,25.0,https://pypi.org/project/bigdl,2021-04-07 05:17:55.000000,6.0,2259.0,2259.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,com.intel.analytics.bigdl:bigdl-SPARK_2.4,https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4,2021-04-20 01:33:14.000000,0.0,,\n331,TensorFlowOnSpark,yahoo/TensorFlowOnSpark,,distributed-ml,https://github.com/yahoo/TensorFlowOnSpark,https://github.com/yahoo/TensorFlowOnSpark,Apache-2.0,2017-01-20 18:15:57.000000,2021-03-29 16:39:50.000000,2021-03-29 16:39:47.000000,940,11.0,337.0,3669,616.0,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,33.0,25,True,2021-03-23 16:46:56.000000,2.2.3,30.0,tensorflowonspark,,,,\"['tensorflow', 'spark']\",5.0,,https://pypi.org/project/tensorflowonspark,2021-03-19 17:34:37.000000,5.0,180600.0,180600.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n332,mlpack,mlpack/mlpack,,ml-frameworks,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59.000000,2021-04-29 13:32:09.000000,2021-04-28 20:25:12.000000,1340,154.0,1232.0,3650,26251.0,mlpack: a scalable C++ machine learning library --.,273.0,25,True,2020-10-28 18:28:47.000000,3.4.2,40.0,mlpack,conda-forge/mlpack,,,,0.0,,https://pypi.org/project/mlpack,2020-10-28 18:28:47.000000,0.0,489.0,2697.0,https://anaconda.org/conda-forge/mlpack,2020-10-29 09:35:18.918000,72896.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n333,T5,google-research/text-to-text-transfer-transformer,,nlp,https://github.com/google-research/text-to-text-transfer-transformer,https://github.com/google-research/text-to-text-transfer-transformer,Apache-2.0,2019-10-17 21:45:14.000000,2021-04-29 14:13:38.000000,2021-04-29 14:13:30.000000,454,51.0,318.0,3349,482.0,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,37.0,25,True,2021-03-03 15:19:14.000000,0.9.0,26.0,t5,,,,['tensorflow'],33.0,33.0,https://pypi.org/project/t5,2021-03-03 15:19:14.000000,0.0,11560.0,11560.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n334,PML,KevinMusgrave/pytorch-metric-learning,,pytorch-utils,https://github.com/KevinMusgrave/pytorch-metric-learning,https://github.com/KevinMusgrave/pytorch-metric-learning,MIT,2019-10-23 17:20:35.000000,2021-04-27 04:26:26.000000,2021-04-03 02:44:16.000000,405,44.0,202.0,3099,655.0,\"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.\",15.0,25,True,2021-04-03 00:20:04.000000,0.9.98,153.0,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,,['pytorch'],74.0,74.0,https://pypi.org/project/pytorch-metric-learning,2021-04-21 04:38:46.000000,0.0,16033.0,16168.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2021-04-03 02:32:50.650000,2036.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n335,Chartify,spotify/chartify,,data-viz,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05.000000,2021-03-20 11:20:12.000000,2021-02-05 18:49:02.000000,256,40.0,30.0,2895,195.0,Python library that makes it easy for data scientists to create charts.,21.0,25,True,2020-11-02 22:14:08.000000,3.0.3,16.0,chartify,conda-forge/chartify,,,,58.0,53.0,https://pypi.org/project/chartify,2020-11-02 22:14:08.000000,5.0,2990.0,3455.0,https://anaconda.org/conda-forge/chartify,2020-11-07 19:52:50.628000,13493.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n336,Sumy,miso-belica/sumy,,nlp,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48.000000,2020-11-21 17:08:35.000000,2020-11-21 17:08:33.000000,446,12.0,78.0,2568,397.0,Module for automatic summarization of text documents and HTML pages.,20.0,25,True,2019-05-19 14:39:21.000000,0.8.1,13.0,sumy,,,,,940.0,748.0,https://pypi.org/project/sumy,2019-05-19 14:38:29.000000,192.0,19750.0,19750.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n337,Neural Network Libraries,sony/nnabla,,ml-frameworks,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10.000000,2021-04-28 09:14:27.000000,2021-04-28 09:14:26.000000,300,30.0,30.0,2446,2624.0,Neural Network Libraries.,58.0,25,True,2021-04-14 00:00:37.000000,1.19.0,55.0,nnabla,,,,,34.0,,https://pypi.org/project/nnabla,2021-04-13 05:42:15.000000,34.0,4755.0,4766.0,,,,,,,,3.0,,523.0,,,,,,,,,,,,,,,,,,,,\n338,fastNLP,fastnlp/fastNLP,,nlp,https://github.com/fastnlp/fastNLP,https://github.com/fastnlp/fastNLP,Apache-2.0,2018-03-07 13:30:20.000000,2021-04-22 01:57:46.000000,2021-04-12 13:45:28.000000,362,20.0,131.0,2125,1742.0,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,50.0,25,True,2020-11-06 15:31:29.000000,0.6.0,10.0,fastnlp,,,,,32.0,31.0,https://pypi.org/project/fastnlp,2019-02-04 02:35:37.000000,1.0,1108.0,1109.0,,,,,,,,3.0,,54.0,,,,,,,,,,,,,,,,,,,,\n339,Hyperas,maxpumperla/hyperas,,hyperopt,https://github.com/maxpumperla/hyperas,https://github.com/maxpumperla/hyperas,MIT,2016-02-19 14:45:10.000000,2020-12-22 08:31:48.000000,2020-12-22 08:31:47.000000,304,88.0,158.0,2088,209.0,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,21.0,25,True,2019-02-28 09:16:54.000000,0.4.1,9.0,hyperas,,,,['tensorflow'],242.0,200.0,https://pypi.org/project/hyperas,2019-02-28 09:16:54.000000,42.0,38517.0,38517.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n340,causalml,uber/causalml,,others,https://github.com/uber/causalml,https://github.com/uber/causalml,Apache-2.0,2019-07-09 02:08:58.000000,2021-04-28 22:08:22.000000,2021-04-26 19:04:48.000000,277,31.0,141.0,1915,313.0,Uplift modeling and causal inference with machine learning algorithms.,25.0,25,True,2021-02-19 20:58:43.000000,0.10.0,13.0,causalml,,,,,18.0,18.0,https://pypi.org/project/causalml,2021-02-19 20:32:15.000000,0.0,19633.0,19633.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n341,pytorch-nlp,PetrochukM/PyTorch-NLP,,nlp,https://github.com/PetrochukM/PyTorch-NLP,https://github.com/PetrochukM/PyTorch-NLP,BSD-3-Clause,2018-02-25 05:00:36.000000,2021-04-08 15:39:47.000000,2021-01-26 22:23:57.000000,224,14.0,49.0,1906,445.0,Basic Utilities for PyTorch Natural Language Processing (NLP).,17.0,25,True,2019-11-04 05:16:00.000000,0.5.0,19.0,pytorch-nlp,,,,['pytorch'],224.0,206.0,https://pypi.org/project/pytorch-nlp,2019-11-04 04:35:18.000000,18.0,8114.0,8114.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n342,StellarGraph,stellargraph/stellargraph,,graph,https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51.000000,2021-04-29 00:07:09.000000,2021-02-18 01:03:15.000000,268,233.0,711.0,1876,2515.0,StellarGraph - Machine Learning on Graphs.,32.0,25,True,2020-06-30 05:15:21.000000,1.2.1,25.0,stellargraph,,,,['tensorflow'],65.0,61.0,https://pypi.org/project/stellargraph,2020-06-30 05:10:43.000000,4.0,6185.0,6185.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n343,pytorch-optimizer,jettify/pytorch-optimizer,,pytorch-utils,https://github.com/jettify/pytorch-optimizer,https://github.com/jettify/pytorch-optimizer,Apache-2.0,2020-01-03 03:16:39.000000,2021-04-29 15:29:15.000000,2021-04-29 10:30:43.000000,173,10.0,25.0,1830,378.0,torch-optimizer -- collection of optimizers for Pytorch.,19.0,25,True,2021-01-01 16:51:15.000000,0.1.0,19.0,torch_optimizer,,,,['pytorch'],186.0,186.0,https://pypi.org/project/torch_optimizer,2021-01-01 16:51:15.000000,0.0,29420.0,29420.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n344,efficientnet,qubvel/efficientnet,,tensorflow-utils,https://github.com/qubvel/efficientnet,https://github.com/qubvel/efficientnet,Apache-2.0,2019-05-30 20:21:09.000000,2021-04-18 18:12:08.000000,2020-09-15 16:19:36.000000,403,56.0,55.0,1798,64.0,Implementation of EfficientNet model. Keras and TensorFlow Keras.,8.0,25,True,2020-09-15 16:26:00.000000,1.1.1,9.0,efficientnet,,,,['tensorflow'],582.0,578.0,https://pypi.org/project/efficientnet,2020-09-15 16:26:00.000000,4.0,123948.0,131288.0,,,,,,,,3.0,,168837.0,,,,,,,,,,,,,,,,,,,,\n345,pgmpy,pgmpy/pgmpy,,probabilistics,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000000,2021-04-26 14:28:43.000000,2021-04-26 14:11:06.000000,567,232.0,506.0,1777,6.0,Python Library for learning (Structure and Parameter) and inference (Statistical and Causal) in Bayesian Networks.,91.0,25,True,2021-03-31 09:08:49.000000,0.1.14,13.0,pgmpy,,,,,230.0,218.0,https://pypi.org/project/pgmpy,2021-03-31 07:30:01.000000,12.0,30507.0,30514.0,,,,,,,,3.0,,71.0,,,,,,,,,,,,,,,,,,,,\n346,category_encoders,scikit-learn-contrib/category_encoders,,sklearn-utils,https://github.com/scikit-learn-contrib/category_encoders,https://github.com/scikit-learn-contrib/category_encoders,BSD-3-Clause,2015-11-29 19:32:37.000000,2021-04-13 02:35:29.000000,2020-07-31 10:43:44.000000,304,73.0,136.0,1636,671.0,A library of sklearn compatible categorical variable encoders.,37.0,25,True,2020-04-29 02:09:51.000000,2.2.2,19.0,category_encoders,conda-forge/category_encoders,,,['sklearn'],23.0,,https://pypi.org/project/category_encoders,2018-10-14 14:15:54.000000,23.0,336655.0,338432.0,https://anaconda.org/conda-forge/category_encoders,2020-04-29 22:37:35.948000,101324.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n347,HyperTools,ContextLab/hypertools,,data-viz,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25.000000,2021-01-06 14:11:39.000000,2021-01-06 14:11:38.000000,152,66.0,122.0,1624,1591.0,A Python toolbox for gaining geometric insights into high-dimensional data.,21.0,25,True,2020-10-02 21:41:53.000000,0.6.3,19.0,hypertools,,,,,124.0,115.0,https://pypi.org/project/hypertools,2020-10-02 21:41:53.000000,9.0,10620.0,10620.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n348,swifter,jmcarpenter2/swifter,,data-containers,https://github.com/jmcarpenter2/swifter,https://github.com/jmcarpenter2/swifter,MIT,2018-04-07 21:37:19.000000,2021-04-05 23:39:32.730000,2020-12-19 19:11:44.000000,76,19.0,76.0,1613,423.0,A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner.,14.0,25,True,2020-10-11 22:42:57.000000,1.0.7,71.0,swifter,conda-forge/swifter,,,['pandas'],351.0,319.0,https://pypi.org/project/swifter,2020-10-11 22:42:57.000000,32.0,107269.0,111202.0,https://anaconda.org/conda-forge/swifter,2021-04-05 23:39:32.730000,94398.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n349,tslearn,tslearn-team/tslearn,,time-series-data,https://github.com/tslearn-team/tslearn,https://github.com/tslearn-team/tslearn,BSD-2-Clause,2017-05-04 13:08:13.000000,2021-03-16 22:42:37.000000,2021-01-25 15:18:03.000000,229,65.0,169.0,1582,,A machine learning toolkit dedicated to time-series data.,30.0,25,True,2021-01-25 15:19:11.000000,0.5.0.5,92.0,tslearn,conda-forge/tslearn,,,['sklearn'],244.0,222.0,https://pypi.org/project/tslearn,2021-01-25 15:28:45.000000,22.0,61605.0,67158.0,https://anaconda.org/conda-forge/tslearn,2021-01-25 17:55:55.394000,205497.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n350,scattertext,JasonKessler/scattertext,,nlp,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12.000000,2021-03-08 07:54:17.000000,2021-03-08 07:43:55.000000,216,17.0,62.0,1560,346.0,Beautiful visualizations of how language differs among document types.,11.0,25,True,2021-03-08 07:54:17.000000,0.1.2,131.0,scattertext,conda-forge/scattertext,,,,193.0,177.0,https://pypi.org/project/scattertext,2021-03-08 07:54:17.000000,16.0,4894.0,6006.0,https://anaconda.org/conda-forge/scattertext,2021-01-18 15:00:35.497000,48961.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n351,Pandaral·lel,nalepae/pandarallel,,data-containers,https://github.com/nalepae/pandarallel,https://github.com/nalepae/pandarallel,BSD-3-Clause,2019-03-10 11:58:29.000000,2021-02-04 21:35:01.000000,2021-02-04 21:27:26.000000,105,69.0,55.0,1523,114.0,A simple and efficient tool to parallelize Pandas operations on all availableCPUs.,14.0,25,True,2021-02-04 21:35:01.000000,1.5.2,29.0,pandarallel,,,,\"['pandas', 'jupyter']\",191.0,191.0,https://pypi.org/project/pandarallel,2021-02-04 21:35:01.000000,0.0,353907.0,353907.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n352,mtcnn,ipazc/mtcnn,,image,https://github.com/ipazc/mtcnn,https://github.com/ipazc/mtcnn,MIT,2018-01-05 04:08:32.000000,2021-02-03 15:49:06.000000,2021-01-13 23:50:58.000000,386,55.0,36.0,1488,55.0,\"MTCNN face detection implementation for TensorFlow, as a PIP package.\",14.0,25,True,2019-11-14 17:37:05.000000,0.1.0,10.0,mtcnn,,,,['tensorflow'],1077.0,1035.0,https://pypi.org/project/mtcnn,2019-11-14 17:37:05.000000,42.0,21520.0,21520.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n353,chainercv,chainer/chainercv,,image,https://github.com/chainer/chainercv,https://github.com/chainer/chainercv,MIT,2017-02-13 04:15:10.000000,2020-02-03 01:27:17.000000,2020-01-07 11:48:31.000000,318,54.0,168.0,1445,4930.0,ChainerCV: a Library for Deep Learning in Computer Vision.,39.0,25,False,2019-06-12 11:55:02.000000,0.13.1,24.0,chainercv,,,,,299.0,239.0,https://pypi.org/project/chainercv,2019-06-12 11:55:40.000000,60.0,5606.0,5606.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n354,TextAttack,QData/TextAttack,,adversarial,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000000,2021-04-23 16:59:25.000000,2021-04-23 14:12:20.000000,158,41.0,82.0,1393,1993.0,\"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP.\",34.0,25,True,2020-12-27 05:23:02.000000,0.2.15,35.0,textattack,,,,,22.0,22.0,https://pypi.org/project/textattack,2020-12-27 05:23:02.000000,0.0,2630.0,2630.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n355,IB-insync,erdewit/ib_insync,,financial-data,https://github.com/erdewit/ib_insync,https://github.com/erdewit/ib_insync,BSD-2-Clause,2017-07-12 12:09:24.000000,2021-04-28 10:35:53.000000,2021-04-28 10:35:48.000000,421,1.0,303.0,1384,583.0,Python sync/async framework for Interactive Brokers API.,28.0,25,True,2021-04-26 18:22:55.000000,0.9.66,91.0,ib_insync,conda-forge/ib-insync,,,,12.0,,https://pypi.org/project/ib_insync,2021-04-26 18:22:55.000000,12.0,7671.0,8113.0,https://anaconda.org/conda-forge/ib-insync,2021-02-25 02:28:19.625000,9282.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n356,Fairness 360,Trusted-AI/AIF360,,interpretability,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15.000000,2021-04-29 10:09:43.000000,2021-03-10 20:05:40.000000,426,39.0,53.0,1359,318.0,\"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..\",43.0,25,True,2021-03-04 18:11:34.000000,0.4.0,9.0,aif360,,,,,85.0,81.0,https://pypi.org/project/aif360,2021-03-04 18:11:34.000000,4.0,7847.0,7847.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n357,ViZDoom,mwydmuch/ViZDoom,,reinforcement-learning,https://github.com/mwydmuch/ViZDoom,https://github.com/mwydmuch/ViZDoom,MIT,2015-06-26 18:38:23.000000,2021-02-09 10:35:01.000000,2021-02-09 10:35:01.000000,298,88.0,329.0,1199,1464.0,Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information.,44.0,25,True,2020-10-29 15:56:20.000000,1.1.8,19.0,vizdoom,,,,,138.0,114.0,https://pypi.org/project/vizdoom,2020-10-29 15:56:20.000000,24.0,1571.0,1748.0,,,,,,,,2.0,,10826.0,,,,,,,,,,,,,,,,,,,,\n358,PyCUDA,inducer/pycuda,,gpu-utilities,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000000,2021-04-16 19:27:03.000000,2021-04-16 19:27:02.000000,225,54.0,135.0,1140,,\"CUDA integration for Python, plus shiny features.\",70.0,25,True,2019-08-12 04:15:37.000000,2019.1.2,47.0,pycuda,,,,,1109.0,817.0,https://pypi.org/project/pycuda,2021-04-03 22:28:54.000000,292.0,54327.0,54327.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n359,TabPy,tableau/TabPy,,others,https://github.com/tableau/TabPy,https://github.com/tableau/TabPy,MIT,2016-09-27 21:26:03.000000,2021-02-04 23:28:56.000000,2021-02-04 23:28:56.000000,394,10.0,265.0,1066,828.0,Execute Python code on the fly and display results in Tableau visualizations:.,40.0,25,True,2020-11-11 19:06:41.000000,2.3.1,24.0,tabpy,,,,,57.0,57.0,https://pypi.org/project/tabpy,2020-11-11 19:06:41.000000,0.0,32683.0,32683.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n360,bt,pmorissette/bt,,financial-data,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28.000000,2021-04-24 00:44:56.000000,2021-04-24 00:44:56.000000,279,56.0,206.0,1047,423.0,bt - flexible backtesting for Python.,21.0,25,True,2021-04-21 02:52:26.000000,0.2.9,25.0,bt,,,,,71.0,51.0,https://pypi.org/project/bt,2021-04-21 02:52:26.000000,20.0,9065.0,9065.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n361,ArcGIS API,Esri/arcgis-python-api,,geospatial-data,https://github.com/Esri/arcgis-python-api,https://github.com/Esri/arcgis-python-api,Apache-2.0,2016-03-16 01:09:14.000000,2021-04-29 09:20:34.000000,2021-04-19 04:27:40.000000,732,118.0,226.0,1016,3053.0,Documentation and samples for ArcGIS API for Python.,62.0,25,True,2021-04-12 03:08:40.000000,1.8.5,29.0,arcgis,,esridocker/arcgis-api-python-notebook,,,20.0,,https://pypi.org/project/arcgis,2021-04-12 03:28:09.000000,20.0,37591.0,37661.0,,,,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,2020-03-06 00:53:45.164342,32.0,4295.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n362,Streamz,python-streamz/streamz,,time-series-data,https://github.com/python-streamz/streamz,https://github.com/python-streamz/streamz,BSD-3-Clause,2017-04-04 21:45:49.000000,2021-04-05 16:03:05.000000,2021-04-05 16:03:05.000000,117,91.0,132.0,939,742.0,Real-time stream processing for python.,39.0,25,True,2021-01-14 20:47:38.000000,0.6.2,15.0,streamz,conda-forge/streamz,,,,218.0,202.0,https://pypi.org/project/streamz,2021-01-14 20:47:38.000000,16.0,8076.0,11523.0,https://anaconda.org/conda-forge/streamz,2021-01-15 14:38:35.032000,148253.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n363,PySAL,pysal/pysal,,geospatial-data,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42.000000,2021-02-08 21:30:44.240000,2021-02-01 00:35:48.000000,242,58.0,584.0,842,4119.0,PySAL: Python Spatial Analysis Library Meta-Package.,71.0,25,True,2021-02-02 02:59:42.000000,2.4.0,25.0,pysal,conda-forge/pysal,,,,36.0,,https://pypi.org/project/pysal,2021-02-02 02:59:42.000000,36.0,14521.0,21699.0,https://anaconda.org/conda-forge/pysal,2021-02-08 21:30:44.240000,409180.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n364,ffn,pmorissette/ffn,,financial-data,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09.000000,2021-04-24 00:58:10.000000,2021-04-24 00:58:10.000000,195,18.0,72.0,841,351.0,ffn - a financial function library for Python.,26.0,25,True,2021-04-21 02:47:21.000000,0.3.6,27.0,ffn,,,,,157.0,115.0,https://pypi.org/project/ffn,2021-04-21 02:47:21.000000,42.0,14972.0,14972.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n365,ktrain,amaiya/ktrain,,ml-frameworks,https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39.000000,2021-04-28 20:45:58.000000,2021-03-26 17:14:39.000000,191,10.0,329.0,804,2266.0,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,12.0,25,True,2021-03-26 17:15:23.000000,0.26.2,150.0,ktrain,,,,['tensorflow'],154.0,153.0,https://pypi.org/project/ktrain,2021-03-26 17:14:10.000000,1.0,19658.0,19658.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n366,empyrical,quantopian/empyrical,,financial-data,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52.000000,2020-10-14 13:28:13.625000,2020-10-14 13:22:39.000000,243,27.0,26.0,770,167.0,Common financial risk and performance metrics. Used by zipline and pyfolio.,22.0,25,True,2020-10-13 21:29:19.000000,0.5.5,21.0,empyrical,conda-forge/empyrical,,,,814.0,592.0,https://pypi.org/project/empyrical,2020-10-13 21:29:19.000000,222.0,65826.0,66116.0,https://anaconda.org/conda-forge/empyrical,2020-10-14 13:28:13.625000,11022.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n367,Singer,singer-io/getting-started,,data-loading,https://github.com/singer-io/getting-started,https://github.com/singer-io/getting-started,AGPL-3.0,2016-10-31 16:53:56.000000,2021-04-29 14:20:20.000000,2021-04-29 14:20:17.000000,101,20.0,18.0,762,188.0,\"Standard for moving data between databases, web APIs, files, queues, and just about anything else you can think of.\",26.0,25,False,2021-02-25 20:41:17.000000,5.11.0,104.0,singer-python,,,,,300.0,,https://pypi.org/project/singer-python,2021-03-22 20:41:58.000000,300.0,82633.0,82633.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n368,dask-ml,dask/dask-ml,,distributed-ml,https://github.com/dask/dask-ml,https://github.com/dask/dask-ml,BSD-3-Clause,2017-06-15 15:56:06.000000,2021-04-20 15:21:20.000000,2021-04-17 20:14:27.000000,190,186.0,220.0,702,,Scalable Machine Learning with Dask.,64.0,25,True,2021-01-30 16:49:37.000000,1.8.0,27.0,dask-ml,conda-forge/dask-ml,,,,422.0,380.0,https://pypi.org/project/dask-ml,2021-01-30 16:49:37.000000,42.0,71492.0,76428.0,https://anaconda.org/conda-forge/dask-ml,2021-01-30 20:07:36.819000,207326.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n369,Satpy,pytroll/satpy,,geospatial-data,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000000,2021-04-29 13:05:01.000000,2021-04-27 15:24:02.000000,196,312.0,324.0,694,8606.0,Python package for earth-observing satellite data processing.,107.0,25,False,2021-03-26 08:31:14.000000,0.27.0,65.0,satpy,conda-forge/satpy,,,,47.0,41.0,https://pypi.org/project/satpy,2021-03-26 08:31:14.000000,6.0,1582.0,3418.0,https://anaconda.org/conda-forge/satpy,2021-03-26 11:35:33.340000,60617.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n370,pyjanitor,ericmjl/pyjanitor,,others,https://github.com/pyjanitor-devs/pyjanitor,https://github.com/pyjanitor-devs/pyjanitor,MIT,2018-03-04 22:43:33.000000,2021-04-20 20:21:23.000000,2021-04-20 20:21:04.000000,123,98.0,285.0,660,1162.0,Clean APIs for data cleaning. Python implementation of R package Janitor.,88.0,25,True,2021-02-25 17:30:52.000000,0.20.13,49.0,pyjanitor,conda-forge/pyjanitor,,,,98.0,94.0,https://pypi.org/project/pyjanitor,2021-02-25 17:30:52.000000,4.0,6688.0,9046.0,https://anaconda.org/conda-forge/pyjanitor,2021-03-25 12:03:18.871000,87268.0,,,,,2.0,,,,,,,,,,,,,pyjanitor-devs/pyjanitor,,,,,,,,,\n371,PDPbox,SauceCat/PDPbox,,data-viz,https://github.com/SauceCat/PDPbox,https://github.com/SauceCat/PDPbox,MIT,2017-06-26 08:01:54.000000,2021-03-14 19:37:51.465000,2021-03-14 16:01:01.000000,88,19.0,38.0,564,227.0,python partial dependence plot toolbox.,7.0,25,True,2021-03-14 16:21:17.000000,0.2.1,3.0,pdpbox,conda-forge/pdpbox,,,,404.0,370.0,https://pypi.org/project/pdpbox,2021-03-14 16:21:17.000000,34.0,78331.0,78669.0,https://anaconda.org/conda-forge/pdpbox,2021-03-14 19:37:51.465000,7105.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n372,tensorflow-upstream,ROCmSoftwarePlatform/tensorflow-upstream,,ml-frameworks,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,Apache-2.0,2018-04-09 21:24:50.000000,2021-04-29 14:45:13.000000,2021-04-26 23:34:43.000000,65,55.0,241.0,555,79524.0,TensorFlow ROCm port.,3649.0,25,True,2021-03-29 03:10:02.000000,2.4.1,63.0,tensorflow-rocm,,,,['tensorflow'],,,https://pypi.org/project/tensorflow-rocm,2021-03-29 03:10:02.000000,,3240.0,3240.0,,,,,,,,3.0,,16.0,,,,,,,,,,,,,,,,,,,,\n373,mpi4py,mpi4py/mpi4py,,distributed-ml,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-3-Clause,2013-09-05 14:44:25.000000,2021-04-29 12:43:41.965000,2021-03-31 12:46:41.000000,66,8.0,16.0,402,2246.0,Python bindings for MPI.,16.0,25,True,2020-07-27 06:40:19.000000,3.0.3,13.0,mpi4py,conda-forge/mpi4py,,,,752.0,,https://pypi.org/project/mpi4py,2019-11-04 13:05:10.000000,752.0,237769.0,249044.0,https://anaconda.org/conda-forge/mpi4py,2021-04-29 12:43:41.965000,613827.0,,,,,2.0,,1040.0,,,,,,,,,,,,,,,,,,,,\n374,PyNNDescent,lmcinnes/pynndescent,,nn-search,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000000,2021-03-12 04:15:55.000000,2021-03-12 04:15:47.000000,49,28.0,36.0,389,488.0,A Python nearest neighbor descent for approximate nearest neighbors.,13.0,25,True,2021-02-08 20:03:04.000000,0.5.2,21.0,pynndescent,conda-forge/pynndescent,,,,426.0,420.0,https://pypi.org/project/pynndescent,2021-02-08 20:03:04.000000,6.0,384489.0,389677.0,https://anaconda.org/conda-forge/pynndescent,2021-02-09 04:30:06.804000,114152.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n375,hvPlot,holoviz/hvplot,,data-viz,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000000,2021-04-28 14:40:57.000000,2021-04-27 08:55:24.000000,53,122.0,233.0,385,380.0,\"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.\",28.0,25,True,2021-03-04 17:35:32.000000,0.7.1,14.0,hvplot,conda-forge/hvplot,,,,603.0,573.0,https://pypi.org/project/hvplot,2021-04-14 13:04:35.000000,30.0,28988.0,31555.0,https://anaconda.org/conda-forge/hvplot,2021-03-04 01:00:43.938000,82167.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n376,python-soundfile,bastibe/python-soundfile,,audio,https://github.com/bastibe/python-soundfile,https://github.com/bastibe/python-soundfile,BSD-3-Clause,2013-08-27 13:36:52.000000,2021-01-13 07:52:51.000000,2020-12-01 18:42:47.000000,43,57.0,90.0,380,493.0,\"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.\",19.0,25,True,2019-12-04 10:03:39.000000,0.10.3post1,7.0,soundfile,,,,,7379.0,6639.0,https://pypi.org/project/soundfile,2019-11-27 12:16:19.000000,740.0,674223.0,674250.0,,,,,,,,3.0,,2333.0,,,,,,,,,,,,,,,,,,,,\n377,datalad,datalad/datalad,,others,https://github.com/datalad/datalad,https://github.com/datalad/datalad,MIT,2013-11-01 19:40:08.000000,2021-04-29 13:13:44.000000,2021-04-29 13:12:09.000000,73,691.0,2316.0,239,13778.0,\"Keep code, data, containers under control with git and git-annex.\",38.0,25,True,2021-04-28 23:49:22.000000,0.14.3,67.0,datalad,conda-forge/datalad,,,,26.0,,https://pypi.org/project/datalad,2021-04-28 23:45:58.000000,26.0,5596.0,8685.0,https://anaconda.org/conda-forge/datalad,2021-04-29 02:04:39.800000,114324.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n378,snownlp,isnowfy/snownlp,,chinese-nlp,https://github.com/isnowfy/snownlp,https://github.com/isnowfy/snownlp,MIT,2013-11-26 11:46:56.000000,2020-01-19 02:39:05.000000,2020-01-19 02:39:03.000000,1266,36.0,65.0,5388,57.0,Python library for processing Chinese text.,8.0,24,False,2015-09-27 16:35:23.000000,0.12.3,17.0,snownlp,,,,,653.0,577.0,https://pypi.org/project/snownlp,2015-09-27 16:35:23.000000,76.0,15315.0,15315.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n379,Face Alignment,1adrianb/face-alignment,,image,https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44.000000,2021-04-28 22:17:22.000000,2021-04-28 22:12:40.000000,1048,39.0,201.0,4885,201.0,2D and 3D Face alignment library build using pytorch.,22.0,24,True,2021-04-28 22:17:22.000000,1.3.4,10.0,face-alignment,,,,['pytorch'],12.0,,https://pypi.org/project/face-alignment,2021-04-28 22:17:22.000000,12.0,6962.0,6962.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n380,flashtext,vi3k6i5/flashtext,,nlp,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01.000000,2021-04-29 02:55:52.000000,2020-05-03 07:13:22.000000,542,52.0,49.0,4730,108.0,Extract Keywords from sentence or Replace keywords in sentences.,8.0,24,True,,,18.0,flashtext,,,,,466.0,434.0,https://pypi.org/project/flashtext,2018-02-16 05:24:17.000000,32.0,320707.0,320707.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n381,textgenrnn,minimaxir/textgenrnn,,nlp,https://github.com/minimaxir/textgenrnn,https://github.com/minimaxir/textgenrnn,MIT,2017-08-07 02:13:37.000000,2020-12-25 03:33:19.000000,2020-07-14 02:41:10.000000,681,117.0,82.0,4354,174.0,Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines..,19.0,24,True,2020-02-03 01:07:00.000000,2.0.0,14.0,textgenrnn,,,,['tensorflow'],851.0,823.0,https://pypi.org/project/textgenrnn,2020-02-02 21:16:15.000000,28.0,10099.0,10112.0,,,,,,,,3.0,,495.0,,,,,,,,,,,,,,,,,,,,\n382,sktime,alan-turing-institute/sktime,,time-series-data,https://github.com/alan-turing-institute/sktime,https://github.com/alan-turing-institute/sktime,BSD-3-Clause,2018-11-06 15:08:24.000000,2021-04-29 09:54:28.000000,2021-04-26 17:09:48.000000,521,120.0,300.0,3909,,A unified framework for machine learning with time series.,83.0,24,True,2021-04-15 10:41:18.000000,0.6.0,14.0,sktime,,,,['sklearn'],141.0,141.0,https://pypi.org/project/sktime,2021-04-15 10:41:18.000000,0.0,51672.0,51674.0,,,,,,,,2.0,,57.0,,,,,,,,,,,,,,,,,,,,\n383,Lasagne,Lasagne/Lasagne,,ml-frameworks,https://github.com/Lasagne/Lasagne,https://github.com/Lasagne/Lasagne,MIT,2014-09-11 15:31:41.000000,2019-11-20 20:28:31.000000,2019-11-20 20:28:30.000000,983,139.0,402.0,3775,1161.0,Lightweight library to build and train neural networks in Theano.,72.0,24,False,2015-08-13 21:00:09.000000,0.1,1.0,lasagne,,,,,1315.0,809.0,https://pypi.org/project/lasagne,2015-08-13 21:10:53.000000,506.0,2818.0,2818.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n384,torchdiffeq,rtqichen/torchdiffeq,,pytorch-utils,https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25.000000,2021-04-05 11:26:15.000000,2021-03-23 19:55:23.000000,594,23.0,111.0,3484,216.0,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,19.0,24,True,2021-02-06 20:33:16.000000,0.2.1,5.0,torchdiffeq,,,,['pytorch'],91.0,91.0,https://pypi.org/project/torchdiffeq,2021-02-06 20:33:16.000000,0.0,3476.0,3476.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n385,ArrayFire,arrayfire/arrayfire,,gpu-utilities,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000000,2021-04-12 14:00:05.000000,2021-03-23 02:59:03.000000,475,239.0,1225.0,3458,5708.0,ArrayFire: a general purpose GPU library.,80.0,24,True,2021-01-08 21:41:09.000000,3.8.0,30.0,arrayfire,,,,,8.0,,https://pypi.org/project/arrayfire,2021-03-05 17:36:30.000000,8.0,1136.0,1151.0,,,,,,,,2.0,,1060.0,,,,,,,,,,,,,,,,,,,,\n386,einops,arogozhnikov/einops,,ml-frameworks,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08.000000,2021-04-03 01:17:15.000000,2021-04-03 01:17:15.000000,97,21.0,46.0,2879,305.0,\"Deep learning operations reinvented (for pytorch, tensorflow, jax and others).\",11.0,24,True,2020-09-08 08:33:29.000000,0.3,3.0,einops,conda-forge/einops,,,,474.0,464.0,https://pypi.org/project/einops,2020-09-08 08:21:26.000000,10.0,86283.0,86528.0,https://anaconda.org/conda-forge/einops,2020-10-15 20:10:19.681000,4660.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n387,xLearn,aksnzhy/xlearn,,ml-frameworks,https://github.com/aksnzhy/xlearn,https://github.com/aksnzhy/xlearn,Apache-2.0,2017-06-10 08:09:31.000000,2021-01-28 14:17:44.000000,2020-03-03 10:12:35.000000,515,190.0,107.0,2875,1340.0,\"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..\",30.0,24,False,2019-04-25 02:10:05.000000,0.4.4,15.0,xlearn,,,,,54.0,52.0,https://pypi.org/project/xlearn,2018-12-04 11:05:06.000000,2.0,3542.0,3609.0,,,,,,,,3.0,,2496.0,,,,,,,,,,,,,,,,,,,,\n388,DoWhy,Microsoft/dowhy,,interpretability,https://github.com/microsoft/dowhy,https://github.com/microsoft/dowhy,MIT,2018-05-31 13:07:04.000000,2021-04-29 06:52:00.000000,2021-04-29 05:20:21.000000,421,28.0,90.0,2867,443.0,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,41.0,24,True,2021-03-03 03:44:46.000000,0.6,6.0,dowhy,conda-forge/dowhy,,,,36.0,36.0,https://pypi.org/project/dowhy,2021-03-03 03:45:16.000000,0.0,21962.0,22112.0,https://anaconda.org/conda-forge/dowhy,2021-04-28 19:20:04.698000,1645.0,,,,,2.0,,23.0,,,,,,,,,,,,,,,,,,,,\n389,keras-vis,raghakot/keras-vis,,interpretability,https://github.com/raghakot/keras-vis,https://github.com/raghakot/keras-vis,MIT,2016-11-11 23:27:34.000000,2020-04-20 01:03:13.000000,2020-04-20 01:03:12.000000,595,114.0,99.0,2814,195.0,Neural network visualization toolkit for keras.,10.0,24,True,2017-07-06 04:55:04.000000,0.4.1,11.0,keras-vis,,,,['tensorflow'],977.0,921.0,https://pypi.org/project/keras-vis,2017-07-06 04:55:04.000000,56.0,3055.0,3055.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n390,Gradio,gradio-app/gradio,,others,https://github.com/gradio-app/gradio,https://github.com/gradio-app/gradio,Apache-2.0,2018-12-19 08:24:04.000000,2021-04-27 11:09:47.000000,2021-04-26 18:53:55.000000,153,9.0,90.0,2413,981.0,\"Wrap UIs around any model, share with anyone.\",16.0,24,True,2021-04-26 18:53:36.000000,1.7.0,90.0,gradio,,,,,115.0,113.0,https://pypi.org/project/gradio,2021-04-26 18:53:36.000000,2.0,4976.0,4976.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n391,D-Tale,man-group/dtale,,data-viz,https://github.com/man-group/dtale,https://github.com/man-group/dtale,LGPL-2.1,2019-07-15 09:34:48.000000,2021-04-27 21:29:44.064000,2021-04-27 20:28:16.000000,170,23.0,306.0,2309,401.0,Visualizer for pandas data structures.,15.0,24,True,2021-04-27 21:00:18.000000,1.44.1,117.0,dtale,conda-forge/dtale,,,\"['pandas', 'jupyter']\",138.0,138.0,https://pypi.org/project/dtale,2021-04-27 20:56:40.000000,0.0,13831.0,17598.0,https://anaconda.org/conda-forge/dtale,2021-04-27 21:29:44.064000,52749.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n392,Arctic,man-group/arctic,,data-containers,https://github.com/man-group/arctic,https://github.com/man-group/arctic,LGPL-2.1,2015-05-29 13:37:30.000000,2021-04-16 20:56:46.000000,2021-04-16 01:50:53.000000,439,88.0,438.0,2269,1077.0,Arctic is a high performance datastore for numeric data.,71.0,24,True,2020-12-01 23:17:26.000000,1.79.4,83.0,arctic,conda-forge/arctic,,,,155.0,113.0,https://pypi.org/project/arctic,2020-12-01 23:16:12.000000,42.0,5454.0,6038.0,https://anaconda.org/conda-forge/arctic,2019-12-16 08:57:24.231000,13426.0,,,,,3.0,,119.0,,,,,,,,,,,,,,,,,,,,\n393,SRU,asappresearch/sru,,pytorch-utils,https://github.com/asappresearch/sru,https://github.com/asappresearch/sru,MIT,2017-08-28 20:37:41.000000,2021-04-15 16:32:43.000000,2021-03-19 22:29:41.000000,286,49.0,65.0,1938,383.0,Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755).,21.0,24,True,2020-12-17 19:40:55.000000,2.6.0-rc1,24.0,sru,,,,['pytorch'],17.0,15.0,https://pypi.org/project/sru,2021-03-18 18:03:56.000000,2.0,2836.0,2836.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n394,python_speech_features,jameslyons/python_speech_features,,audio,https://github.com/jameslyons/python_speech_features,https://github.com/jameslyons/python_speech_features,MIT,2013-10-31 02:42:08.000000,2020-12-31 13:27:02.000000,2020-12-31 13:27:01.000000,548,23.0,49.0,1888,120.0,This library provides common speech features for ASR including MFCCs and filterbank energies.,18.0,24,True,2020-01-14 14:12:10.000000,0.6.1,6.0,python_speech_features,,,,,300.0,,https://pypi.org/project/python_speech_features,2017-08-16 01:46:13.000000,300.0,82820.0,82820.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n395,Alphalens,quantopian/alphalens,,financial-data,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15.000000,2020-09-05 16:48:14.000000,2020-04-27 18:40:41.000000,701,38.0,145.0,1880,522.0,Performance analysis of predictive (alpha) stock factors.,25.0,24,True,2020-04-30 15:42:52.000000,0.4.0,10.0,alphalens,conda-forge/alphalens,,,,411.0,383.0,https://pypi.org/project/alphalens,2020-04-27 21:03:10.000000,28.0,2967.0,3266.0,https://anaconda.org/conda-forge/alphalens,2020-05-16 13:52:44.922000,11386.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n396,DDSP,magenta/ddsp,,audio,https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27.000000,2021-04-19 04:30:53.000000,2021-04-08 22:54:28.000000,179,15.0,96.0,1832,369.0,DDSP: Differentiable Digital Signal Processing.,25.0,24,True,2021-04-19 04:30:53.000000,1.3.0,31.0,ddsp,,,,['tensorflow'],11.0,11.0,https://pypi.org/project/ddsp,2021-04-08 23:34:17.000000,,2081.0,2081.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n397,Essentia,MTG/essentia,,audio,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000000,2021-04-28 13:59:18.000000,2021-04-28 13:53:01.000000,408,307.0,574.0,1804,2815.0,\"C++ library for audio and music analysis, description and synthesis, including Python bindings.\",71.0,24,False,2015-03-31 16:33:30.000000,2.0,9.0,essentia,,,,,191.0,181.0,https://pypi.org/project/essentia,2021-01-13 00:12:18.000000,10.0,4404.0,4404.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n398,Spektral,danielegrattarola/spektral,,graph,https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10.000000,2021-04-20 15:07:24.000000,2021-03-24 08:34:28.000000,218,23.0,122.0,1713,945.0,Graph Neural Networks with Keras and Tensorflow 2.,16.0,24,True,2021-03-20 11:39:58.000000,1.0.6,29.0,spektral,,,,\"['tensorflow\"\"']\",46.0,46.0,https://pypi.org/project/spektral,2021-03-20 11:39:58.000000,0.0,3462.0,3462.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n399,dtreeviz,parrt/dtreeviz,,interpretability,https://github.com/parrt/dtreeviz,https://github.com/parrt/dtreeviz,MIT,2018-08-13 21:45:15.000000,2021-04-05 19:35:08.000000,2021-04-05 19:30:34.000000,200,17.0,77.0,1495,363.0,A python library for decision tree visualization and model interpretation.,16.0,24,True,2021-03-16 21:49:18.000000,1.2,23.0,dtreeviz,,,,,140.0,136.0,https://pypi.org/project/dtreeviz,2021-04-05 19:35:08.000000,4.0,29124.0,29124.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n400,sklearn-contrib-lightning,scikit-learn-contrib/lightning,,sklearn-utils,https://github.com/scikit-learn-contrib/lightning,https://github.com/scikit-learn-contrib/lightning,BSD-3-Clause,2012-01-11 13:53:52.000000,2021-04-24 19:56:22.000000,2021-03-14 21:31:42.000000,192,47.0,36.0,1445,701.0,\"Large-scale linear classification, regression and ranking in Python.\",17.0,24,True,2020-12-16 17:26:49.000000,0.6.0,8.0,sklearn-contrib-lightning,conda-forge/sklearn-contrib-lightning,,,['sklearn'],92.0,82.0,https://pypi.org/project/sklearn-contrib-lightning,2020-12-16 17:26:49.000000,10.0,497.0,2952.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2020-12-20 22:58:20.890000,139973.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n401,Magnitude,plasticityai/magnitude,,nn-search,https://github.com/plasticityai/magnitude,https://github.com/plasticityai/magnitude,MIT,2018-02-24 07:28:16.000000,2021-02-23 18:10:43.000000,2020-07-17 20:19:46.000000,100,27.0,50.0,1423,350.0,\"A fast, efficient universal vector embedding utility package.\",4.0,24,True,2020-05-25 11:26:36.000000,0.1.143,128.0,pymagnitude,,,,,201.0,187.0,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36.000000,14.0,9993.0,9993.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n402,bonobo,python-bonobo/bonobo,,data-pipelines,https://github.com/python-bonobo/bonobo,https://github.com/python-bonobo/bonobo,Apache-2.0,2016-12-09 04:03:23.000000,2021-04-20 17:24:44.000000,2021-03-10 15:44:00.000000,117,67.0,108.0,1421,978.0,Extract Transform Load for Python 3.5+.,37.0,24,True,2019-05-16 13:19:48.000000,0.6.4,38.0,bonobo,,,http://docs.bonobo-project.org/en/master/,,165.0,113.0,https://pypi.org/project/bonobo,2019-07-20 13:33:19.000000,52.0,9391.0,9391.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n403,TNT,pytorch/tnt,,ml-experiments,https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58.000000,2021-01-22 09:14:29.000000,2021-01-05 19:36:17.000000,187,30.0,34.0,1313,156.0,\"Simple tools for logging and visualizing, loading and training.\",35.0,24,True,2019-11-15 12:57:59.000000,0.0.5.1,3.0,torchnet,,,,['pytorch'],619.0,569.0,https://pypi.org/project/torchnet,2018-07-29 23:16:03.000000,50.0,11030.0,11030.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n404,sense2vec,explosion/sense2vec,,nlp,https://github.com/explosion/sense2vec,https://github.com/explosion/sense2vec,MIT,2016-01-23 22:15:49.000000,2021-04-19 07:05:28.000000,2021-04-18 01:50:23.000000,209,16.0,83.0,1220,452.0,Contextually-keyed word vectors.,15.0,24,True,2021-04-19 07:05:28.000000,3.0.0,22.0,sense2vec,conda-forge/sense2vec,,,,74.0,62.0,https://pypi.org/project/sense2vec,2021-04-19 07:05:28.000000,12.0,5566.0,6926.0,https://anaconda.org/conda-forge/sense2vec,2020-03-16 22:19:07.337000,17935.0,,,,,3.0,,15046.0,,,,,,,,,,,,,,,,,,,,\n405,modAL,modAL-python/modAL,,others,https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000000,2021-04-24 08:02:20.000000,2021-01-07 09:40:40.000000,189,50.0,50.0,1213,648.0,A modular active learning framework for Python.,14.0,24,True,2021-01-07 09:47:49.000000,0.4.1,12.0,modAL,,,,['sklearn'],74.0,66.0,https://pypi.org/project/modAL,2021-01-07 09:47:49.000000,8.0,2908.0,2908.0,,,,,,,,3.0,,11.0,,,,,,,,,,,,,,,,,,,,\n406,garage,rlworkgroup/garage,,reinforcement-learning,https://github.com/rlworkgroup/garage,https://github.com/rlworkgroup/garage,MIT,2018-06-10 21:31:23.000000,2021-04-26 02:31:14.000000,2021-04-13 20:53:48.000000,217,205.0,783.0,1145,1207.0,A toolkit for reproducible reinforcement learning research.,75.0,24,True,2021-03-23 22:18:36.000000,2021.3.0,21.0,garage,,,,['tensorflow'],17.0,17.0,https://pypi.org/project/garage,2021-03-23 22:18:36.000000,0.0,547.0,547.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n407,livelossplot,stared/livelossplot,,ml-experiments,https://github.com/stared/livelossplot,https://github.com/stared/livelossplot,MIT,2018-03-10 17:51:43.000000,2021-02-07 23:25:37.000000,2021-02-07 23:24:31.000000,137,3.0,70.0,1067,323.0,\"Live training loss plot in Jupyter Notebook for Keras, PyTorch and others.\",16.0,24,True,2021-02-03 16:25:47.000000,0.5.4,24.0,livelossplot,,,,['jupyter'],523.0,513.0,https://pypi.org/project/livelossplot,2021-02-03 16:25:47.000000,10.0,31415.0,31415.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n408,Optimus,ironmussa/Optimus,,data-pipelines,https://github.com/ironmussa/Optimus,https://github.com/ironmussa/Optimus,Apache-2.0,2017-07-13 02:31:18.000000,2021-04-28 00:29:40.000000,2021-04-27 16:47:00.000000,191,139.0,169.0,1005,3530.0,\"Agile Data Preparation Workflows madeeasy with pandas, dask, cudf, dask_cudf and pyspark.\",21.0,24,True,2020-07-19 03:05:40.000000,2.2.32,85.0,optimuspyspark,,,,['spark'],14.0,14.0,https://pypi.org/project/optimuspyspark,2019-05-30 02:22:54.000000,,8152.0,8152.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n409,spacy-transformers,explosion/spacy-transformers,,nlp,https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000000,2021-04-20 18:59:37.000000,2021-04-20 18:58:58.000000,110,48.0,,941,1328.0,\"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.\",15.0,24,True,2021-04-21 07:12:29.000000,1.0.2,44.0,spacy-transformers,,,,['spacy'],134.0,128.0,https://pypi.org/project/spacy-transformers,2021-02-02 09:54:58.000000,6.0,32454.0,32454.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n410,PennyLane,PennyLaneAI/PennyLane,,others,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000000,2021-04-29 12:41:51.000000,2021-04-29 06:41:14.000000,244,99.0,274.0,843,1885.0,PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum..,45.0,24,True,2021-04-20 07:06:17.000000,0.15.0,21.0,pennylane,,,,,20.0,,https://pypi.org/project/pennylane,2021-04-20 06:58:06.000000,20.0,4561.0,4562.0,,,,,,,,3.0,,56.0,,,,,,,,,,,,,,,,,,,,\n411,pyopencl,inducer/pyopencl,,others,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,MIT,2011-04-06 02:51:33.000000,2021-04-28 17:56:05.000000,2021-04-23 18:32:20.000000,216,59.0,215.0,805,,\"OpenCL integration for Python, plus shiny features.\",86.0,24,True,2021-04-03 02:30:03.000000,2021.1.5,61.0,pyopencl,conda-forge/pyopencl,,,,745.0,507.0,https://pypi.org/project/pyopencl,2021-04-05 18:20:12.000000,238.0,20893.0,28106.0,https://anaconda.org/conda-forge/pyopencl,2021-04-05 21:08:34.776000,389549.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n412,openTSNE,pavlin-policar/openTSNE,,data-viz,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000000,2021-04-26 06:15:03.161000,2021-04-25 19:05:09.000000,84,4.0,81.0,789,548.0,\"Extensible, parallel implementations of t-SNE.\",10.0,24,True,2021-04-25 19:32:11.000000,0.6.0,21.0,opentsne,conda-forge/opentsne,,,,208.0,204.0,https://pypi.org/project/opentsne,2021-04-25 19:24:59.000000,4.0,15914.0,19211.0,https://anaconda.org/conda-forge/opentsne,2021-04-26 06:15:03.161000,92326.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n413,PySwarms,ljvmiranda921/pyswarms,,others,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45.000000,2021-04-02 00:26:48.000000,2021-04-02 00:26:45.000000,237,23.0,156.0,769,408.0,A research toolkit for particle swarm optimization in Python.,43.0,24,True,2021-01-03 21:34:15.000000,1.3.0,20.0,pyswarms,,,,,103.0,103.0,https://pypi.org/project/pyswarms,2021-01-03 21:34:15.000000,0.0,6051.0,6051.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n414,GPyOpt,SheffieldML/GPyOpt,,hyperopt,https://github.com/SheffieldML/GPyOpt,https://github.com/SheffieldML/GPyOpt,BSD-3-Clause,2014-08-13 09:58:25.000000,2020-11-17 10:32:02.000000,2020-11-05 15:16:04.000000,221,100.0,186.0,729,514.0,Gaussian Process Optimization using GPy.,49.0,24,True,2020-03-19 21:21:18.000000,1.2.6,11.0,gpyopt,,,,,225.0,189.0,https://pypi.org/project/gpyopt,2020-03-19 11:37:45.000000,36.0,11589.0,11589.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n415,Hail,hail-is/hail,,medical-data,https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000000,2021-04-29 15:10:08.000000,2021-04-29 15:03:28.000000,185,323.0,1947.0,719,7617.0,Scalable genomic data analysis.,73.0,24,True,2021-04-22 21:46:31.000000,0.2.65,85.0,hail,,,,['spark'],37.0,37.0,https://pypi.org/project/hail,2021-04-22 21:46:35.000000,0.0,5116.0,5116.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n416,mahotas,luispedro/mahotas,,image,https://github.com/luispedro/mahotas,https://github.com/luispedro/mahotas,MIT,2010-01-31 00:13:06.000000,2021-01-22 05:47:20.379000,2021-01-13 11:55:02.000000,132,16.0,57.0,682,1276.0,Computer Vision in Python.,30.0,24,True,2020-08-16 17:22:48.000000,1.4.11,57.0,mahotas,conda-forge/mahotas,,,,809.0,619.0,https://pypi.org/project/mahotas,2020-08-16 17:22:48.000000,190.0,30935.0,35431.0,https://anaconda.org/conda-forge/mahotas,2021-01-22 05:47:20.379000,274266.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n417,SALib,SALib/SALib,,probabilistics,https://github.com/SALib/SALib,https://github.com/SALib/SALib,MIT,2013-05-30 13:38:10.000000,2021-04-28 09:51:07.000000,2021-04-21 13:20:34.000000,147,39.0,191.0,456,948.0,\"Sensitivity Analysis Library in Python (Numpy). Contains Sobol, Morris, Fractional Factorial and FAST methods.\",25.0,24,True,2021-04-21 13:22:20.000000,1.3.13,31.0,salib,conda-forge/salib,,,,44.0,,https://pypi.org/project/salib,2021-04-21 13:31:22.000000,44.0,23156.0,24333.0,https://anaconda.org/conda-forge/salib,2020-10-24 17:04:41.614000,62388.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n418,TensorFlow I/O,tensorflow/io,,tensorflow-utils,https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05.000000,2021-04-29 14:16:13.000000,2021-04-28 16:28:29.000000,158,131.0,282.0,446,1403.0,\"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.\",73.0,24,True,2021-04-16 17:14:10.000000,0.17.1,22.0,tensorflow-io,,,,['tensorflow'],0.0,,https://pypi.org/project/tensorflow-io,2020-12-15 00:42:35.000000,0.0,121562.0,121562.0,,,,,,,,3.0,-3.0,,,,,,,,,,,,,,,,,,,,,\n419,findspark,minrk/findspark,,others,https://github.com/minrk/findspark,https://github.com/minrk/findspark,BSD-3-Clause,2015-06-12 21:34:06.000000,2020-06-08 09:32:35.000000,2020-06-08 09:31:58.000000,68,11.0,8.0,395,67.0,Find pyspark to make it importable.,14.0,24,True,2020-06-08 09:32:23.000000,1.4.2,12.0,findspark,conda-forge/findspark,,,['spark'],1857.0,1655.0,https://pypi.org/project/findspark,2020-06-08 09:32:23.000000,202.0,1050376.0,1059618.0,https://anaconda.org/conda-forge/findspark,2018-07-06 12:57:33.438000,536073.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n420,sklearn-crfsuite,TeamHG-Memex/sklearn-crfsuite,,sklearn-utils,https://github.com/TeamHG-Memex/sklearn-crfsuite,https://github.com/TeamHG-Memex/sklearn-crfsuite,MIT,2015-11-26 21:15:41.000000,2020-12-30 08:00:27.000000,2019-12-05 08:17:22.000000,155,33.0,22.0,369,46.0,scikit-learn inspired API for CRFsuite.,6.0,24,False,2017-06-22 18:49:27.000000,0.3.6,9.0,sklearn-crfsuite,,,,['sklearn'],3067.0,2671.0,https://pypi.org/project/sklearn-crfsuite,2017-06-22 18:49:27.000000,396.0,104455.0,104455.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n421,pyvips,libvips/pyvips,,image,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000000,2021-03-19 19:33:38.000000,2021-02-24 09:49:23.000000,26,73.0,144.0,313,392.0,python binding for libvips using cffi.,10.0,24,True,2020-12-18 11:44:57.000000,2.1.14,20.0,pyvips,conda-forge/pyvips,,,,199.0,177.0,https://pypi.org/project/pyvips,2020-12-18 11:44:57.000000,22.0,10634.0,11054.0,https://anaconda.org/conda-forge/pyvips,2020-10-14 10:02:33.542000,8416.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n422,ml-metadata,google/ml-metadata,,ml-experiments,https://github.com/google/ml-metadata,https://github.com/google/ml-metadata,Apache-2.0,2019-01-15 21:02:09.000000,2021-04-29 02:02:34.000000,2021-04-29 02:02:31.000000,66,18.0,44.0,310,498.0,For recording and retrieving metadata associated with ML developer and data scientist workflows.,12.0,24,True,2021-04-20 01:16:08.000000,0.30.0,26.0,ml-metadata,,,,,105.0,105.0,https://pypi.org/project/ml-metadata,2021-04-20 01:16:08.000000,0.0,378656.0,378706.0,,,,,,,,3.0,,1260.0,,,,,,,,,,,,,,,,,,,,\n423,TensorFlow Cloud,tensorflow/cloud,,tensorflow-utils,https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59.000000,2021-04-29 14:41:04.000000,2021-04-27 18:31:16.000000,48,47.0,25.0,235,524.0,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,18.0,24,True,2021-02-09 23:34:43.000000,0.1.13,16.0,tensorflow-cloud,,,,['tensorflow'],48.0,48.0,https://pypi.org/project/tensorflow-cloud,2021-02-09 23:34:43.000000,0.0,215753.0,215753.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n424,pysparkling,svenkreiss/pysparkling,,data-pipelines,https://github.com/svenkreiss/pysparkling,https://github.com/svenkreiss/pysparkling,MIT,2015-05-09 19:23:20.000000,2021-03-05 14:35:43.000000,2021-02-22 17:29:11.000000,45,7.0,21.0,232,1527.0,A pure Python implementation of Apache Spark's RDD and DStream interfaces.,10.0,24,True,2021-01-10 21:15:26.000000,0.6.1,68.0,pysparkling,,,,,76.0,62.0,https://pypi.org/project/pysparkling,2021-01-10 21:15:26.000000,14.0,13457.0,13457.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n425,Orion,Epistimio/orion,,hyperopt,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21.000000,2021-04-28 13:58:06.000000,2021-04-24 02:03:26.000000,40,40.0,114.0,189,2716.0,Asynchronous Distributed Hyperparameter Optimization.,23.0,24,True,2021-04-08 01:19:08.000000,0.1.14,15.0,orion,,,,,48.0,40.0,https://pypi.org/project/orion,2021-04-08 01:19:08.000000,8.0,3084.0,3084.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n426,cortex,cortexlabs/cortex,,model-serialisation,https://github.com/cortexlabs/cortex,https://github.com/cortexlabs/cortex,Apache-2.0,2019-01-24 04:43:14.000000,2021-04-29 14:09:56.000000,2021-04-28 23:47:06.000000,572,132.0,872.0,7478,2065.0,Scale compute-intensive serverless workloads.,21.0,23,True,2021-04-27 23:41:29.000000,0.34.0,53.0,cortex,,,,,0.0,,https://pypi.org/project/cortex,2021-04-27 23:18:44.000000,0.0,1643.0,1643.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n427,Ciphey,Ciphey/Ciphey,,nlp,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39.000000,2021-04-28 18:38:47.000000,2021-04-13 19:00:38.000000,374,41.0,189.0,6750,1745.0,\"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.\",40.0,23,True,2021-02-28 10:55:16.000000,5.11.1,44.0,ciphey,,remnux/ciphey,,,,,https://pypi.org/project/ciphey,2021-02-28 10:54:10.000000,,6441.0,6881.0,,,,https://hub.docker.com/r/remnux/ciphey,2021-04-17 23:37:17.538200,3.0,9258.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n428,mmdnn,Microsoft/MMdnn,,model-serialisation,https://github.com/microsoft/MMdnn,https://github.com/microsoft/MMdnn,MIT,2017-08-16 08:03:52.000000,2021-03-01 14:17:24.000000,2020-08-14 02:32:30.000000,942,308.0,287.0,5308,1083.0,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,85.0,23,True,2020-07-24 06:34:39.000000,0.3.1,12.0,mmdnn,,,,,55.0,52.0,https://pypi.org/project/mmdnn,2020-07-24 06:34:39.000000,3.0,991.0,1072.0,,,,,,,,2.0,,3354.0,,,,,,,,,,,,,,,,,,,,\n429,Apex,NVIDIA/apex,,gpu-utilities,https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000000,2021-04-26 01:17:26.000000,2021-04-19 22:24:14.000000,727,467.0,372.0,5299,841.0,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,82.0,23,True,,,1.0,,conda-forge/nvidia-apex,,,['pytorch'],535.0,535.0,,,,,2331.0,https://anaconda.org/conda-forge/nvidia-apex,2021-04-22 16:13:47.237000,41969.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n430,PaddleHub,PaddlePaddle/PaddleHub,,others,https://github.com/PaddlePaddle/PaddleHub,https://github.com/PaddlePaddle/PaddleHub,Apache-2.0,2018-12-21 06:00:48.000000,2021-04-28 08:19:02.000000,2021-04-27 10:15:19.000000,1090,227.0,557.0,4991,,\"Awesome pre-trained models toolkit based on PaddlePaddle.(300+ models including Image, Text, Audio and Video with Easy..\",37.0,23,True,2021-04-16 08:20:11.000000,2.1.0,45.0,paddlehub,,,,['paddle'],175.0,175.0,https://pypi.org/project/paddlehub,2021-04-27 09:56:48.000000,0.0,2973.0,2992.0,,,,,,,,3.0,,495.0,,,,,,,,,,,,,,,,,,,,\n431,neon,NervanaSystems/neon,,ml-frameworks,https://github.com/NervanaSystems/neon,https://github.com/NervanaSystems/neon,Apache-2.0,2014-10-16 01:00:17.000000,2020-12-23 01:21:42.000000,2019-05-22 18:27:54.000000,848,87.0,305.0,3853,1118.0,Intel Nervana reference deep learning framework committed to best performance on all hardware.,109.0,23,False,2018-01-05 23:25:04.000000,2.6.0,32.0,nervananeon,,,,,46.0,45.0,https://pypi.org/project/nervananeon,2018-01-05 23:25:04.000000,1.0,156.0,160.0,,,,,,,,3.0,,307.0,,,,,,,,,,,,,,,,,,,,\n432,Image Deduplicator,idealo/imagededup,,image,https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54.000000,2021-03-16 10:25:33.000000,2020-11-23 17:40:40.000000,293,20.0,57.0,3508,460.0,Finding duplicate images made easy!.,9.0,23,True,2020-11-23 17:55:24.000000,0.2.4,9.0,imagededup,,,,['tensorflow'],13.0,11.0,https://pypi.org/project/imagededup,2020-11-22 21:09:36.000000,2.0,2274.0,2274.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n433,Snips NLU,snipsco/snips-nlu,,nlp,https://github.com/snipsco/snips-nlu,https://github.com/snipsco/snips-nlu,Apache-2.0,2017-02-08 16:16:36.000000,2020-12-24 12:59:47.000000,2020-02-08 21:49:32.000000,467,51.0,196.0,3481,2153.0,Snips Python library to extract meaning from text.,21.0,23,False,2020-01-15 10:13:17.000000,0.20.2,58.0,snips-nlu,,,,,16.0,,https://pypi.org/project/snips-nlu,2020-01-15 10:13:17.000000,16.0,5804.0,5804.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n434,PyAlgoTrade,gbeced/pyalgotrade,,financial-data,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54.000000,2021-04-19 00:39:07.000000,2018-08-21 02:42:52.000000,1187,45.0,81.0,3295,1156.0,Python Algorithmic Trading Library.,11.0,23,False,,,8.0,pyalgotrade,,,,,94.0,73.0,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25.000000,21.0,791.0,791.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n435,segmentation_models,qubvel/segmentation_models,,image,https://github.com/qubvel/segmentation_models,https://github.com/qubvel/segmentation_models,MIT,2018-06-05 13:27:56.000000,2021-04-02 06:02:48.000000,2020-04-17 09:51:20.000000,727,162.0,243.0,3144,204.0,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,14.0,23,True,2020-01-10 11:36:02.000000,1.0.1,8.0,segmentation_models,,,,['tensorflow'],24.0,,https://pypi.org/project/segmentation_models,2020-01-10 11:36:02.000000,24.0,18363.0,18363.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n436,Camelot,atlanhq/camelot,,data-loading,https://github.com/atlanhq/camelot,https://github.com/atlanhq/camelot,MIT,2016-06-18 11:48:49.000000,2020-07-27 12:28:15.000000,2019-10-15 05:25:40.000000,311,68.0,275.0,3032,446.0,Camelot: PDF Table Extraction for Humans.,23.0,23,False,2020-07-27 12:28:15.000000,0.8.2,21.0,camelot-py,,,,,20.0,,https://pypi.org/project/camelot-py,2020-07-27 12:28:15.000000,20.0,28115.0,28115.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n437,SHOGUN,shogun-toolbox/shogun,,ml-frameworks,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32.000000,2021-03-05 12:19:13.000000,2020-12-08 16:56:38.000000,1049,467.0,1077.0,2815,16205.0,Unified and efficient Machine Learning.,248.0,23,True,2019-07-05 10:23:31.000000,shogun_6.1.4,10.0,,conda-forge/shogun,shogun/shogun,,,,,,,,,2185.0,https://anaconda.org/conda-forge/shogun,2018-06-25 20:49:17.070000,97790.0,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1449.0,3.0,,,,,,,,,,shogun,,,,,,,,,,,,\n438,Porcupine,Picovoice/Porcupine,,audio,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000000,2021-04-28 23:08:06.000000,2021-04-28 17:42:36.000000,342,8.0,297.0,2416,450.0,On-device wake word detection powered by deep learning.,27.0,23,True,2021-04-14 16:39:57.000000,1.9.5,19.0,pvporcupine,,,,,5.0,5.0,https://pypi.org/project/pvporcupine,2021-04-14 16:39:57.000000,0.0,1645.0,1645.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n439,analytics-zoo,intel-analytics/analytics-zoo,,distributed-ml,https://github.com/intel-analytics/analytics-zoo,https://github.com/intel-analytics/analytics-zoo,Apache-2.0,2017-05-05 02:27:30.000000,2021-04-29 14:56:32.000000,2021-04-29 14:56:32.000000,658,490.0,620.0,2284,2899.0,\"Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray.\",90.0,23,True,2021-04-28 09:00:31.000000,0.10.0,68.0,analytics-zoo,,,,['spark'],2.0,2.0,https://pypi.org/project/analytics-zoo,2021-04-26 08:00:19.000000,,2081.0,2081.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n440,neuralcoref,huggingface/neuralcoref,,nlp,https://github.com/huggingface/neuralcoref,https://github.com/huggingface/neuralcoref,MIT,2017-07-03 13:04:16.000000,2021-02-24 08:54:06.000000,2021-02-24 08:54:03.000000,396,48.0,219.0,2267,115.0,Fast Coreference Resolution in spaCy with Neural Networks.,20.0,23,True,2019-04-08 11:28:27.000000,4.0.0,5.0,neuralcoref,conda-forge/neuralcoref,,,,346.0,328.0,https://pypi.org/project/neuralcoref,2019-04-08 09:56:00.000000,18.0,6930.0,7476.0,https://anaconda.org/conda-forge/neuralcoref,2020-02-21 22:10:40.453000,7588.0,,,,,3.0,,199.0,,,,,,,,,,,,,,,,,,,,\n441,scikit-opt,guofei9987/scikit-opt,,sklearn-utils,https://github.com/guofei9987/scikit-opt,https://github.com/guofei9987/scikit-opt,MIT,2017-12-05 10:20:41.000000,2021-04-03 05:58:51.000000,2021-04-03 05:58:41.000000,505,23.0,75.0,2172,268.0,\"Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune..\",10.0,23,True,2021-03-27 15:31:11.000000,0.6.3,20.0,scikit-opt,,,,['sklearn'],33.0,30.0,https://pypi.org/project/scikit-opt,2021-03-27 15:27:39.000000,3.0,1672.0,1672.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n442,ART,Trusted-AI/adversarial-robustness-toolbox,,adversarial,https://github.com/Trusted-AI/adversarial-robustness-toolbox,https://github.com/Trusted-AI/adversarial-robustness-toolbox,MIT,2018-03-15 14:40:43.000000,2021-04-29 05:31:06.000000,2021-04-28 00:11:19.000000,610,63.0,426.0,2168,,\"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..\",66.0,23,True,2021-04-16 23:43:51.000000,1.6.1,30.0,adversarial-robustness-toolbox,,,,,113.0,113.0,https://pypi.org/project/adversarial-robustness-toolbox,2021-03-16 14:39:19.000000,0.0,4299.0,4299.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n443,PandasGUI,adamerose/pandasgui,,data-viz,https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT,2019-06-12 02:19:42.000000,2021-04-29 05:51:17.000000,2021-04-29 05:51:03.000000,122,24.0,78.0,2166,403.0,A GUI for Pandas DataFrames.,8.0,23,True,2021-03-07 08:16:51.000000,0.2.10,40.0,pandasgui,,,,['pandas'],64.0,62.0,https://pypi.org/project/pandasgui,2021-03-07 08:16:51.000000,2.0,2960.0,2960.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n444,Enigma Catalyst,enigmampc/catalyst,,financial-data,https://github.com/enigmampc/catalyst,https://github.com/enigmampc/catalyst,Apache-2.0,2017-06-13 22:31:34.000000,2021-01-05 19:10:30.000000,2020-12-28 10:58:58.000000,613,135.0,356.0,2131,6362.0,An Algorithmic Trading Library for Crypto-Assets in Python.,144.0,23,True,2018-11-11 16:46:28.000000,0.5.21,52.0,enigma-catalyst,,,,,24.0,22.0,https://pypi.org/project/enigma-catalyst,2018-11-11 16:46:28.000000,2.0,2643.0,2643.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n445,TF Ranking,tensorflow/ranking,,recommender-systems,https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57.000000,2021-02-04 05:28:32.000000,2021-02-04 05:28:28.000000,374,26.0,204.0,2106,325.0,Learning to Rank in TensorFlow.,20.0,23,True,2021-02-02 16:58:47.000000,0.3.3,15.0,tensorflow_ranking,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow_ranking,2021-01-30 02:05:46.000000,2.0,80850.0,80850.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n446,Acme,deepmind/acme,,reinforcement-learning,https://github.com/deepmind/acme,https://github.com/deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000000,2021-04-26 10:19:13.000000,2021-04-26 10:18:48.000000,212,43.0,50.0,2046,420.0,A library of reinforcement learning components and agents.,38.0,23,True,2020-10-23 16:00:01.000000,0.2.0,9.0,dm-acme,,,,['tensorflow'],26.0,26.0,https://pypi.org/project/dm-acme,2020-10-23 16:00:01.000000,,2100.0,2100.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n447,PyFlux,RJT1990/pyflux,,time-series-data,https://github.com/RJT1990/pyflux,https://github.com/RJT1990/pyflux,BSD-3-Clause,2016-02-16 20:12:02.000000,2019-03-19 10:45:02.000000,2018-12-16 15:30:13.000000,210,79.0,65.0,1868,118.0,Open source time series library for Python.,6.0,23,False,2017-11-21 16:27:06.000000,0.4.16,35.0,pyflux,,,,,210.0,180.0,https://pypi.org/project/pyflux,2017-11-21 16:27:06.000000,30.0,20032.0,20032.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n448,GluonTS,awslabs/gluon-ts,,time-series-data,https://github.com/awslabs/gluon-ts,https://github.com/awslabs/gluon-ts,Apache-2.0,2019-05-15 17:17:29.000000,2021-04-29 14:36:54.000000,2021-04-29 10:13:22.000000,390,208.0,374.0,1863,700.0,Probabilistic time series modeling in Python.,71.0,23,True,2021-04-27 14:54:29.000000,0.7.0,31.0,gluonts,,,,['mxnet'],0.0,,https://pypi.org/project/gluonts,2021-04-27 14:55:49.000000,0.0,33670.0,33670.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n449,Pillow-SIMD,uploadcare/pillow-simd,,image,https://github.com/uploadcare/pillow-simd,https://github.com/uploadcare/pillow-simd,PIL,2014-11-12 15:33:02.000000,2021-03-29 10:51:57.000000,2020-06-02 14:50:14.000000,67,11.0,54.0,1587,,The friendly PIL fork.,310.0,23,False,2020-01-02 05:19:26.000000,7.0.0,35.0,pillow-simd,,,,,442.0,392.0,https://pypi.org/project/pillow-simd,2020-01-26 14:30:27.000000,50.0,34918.0,34918.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n450,Multicore-TSNE,DmitryUlyanov/Multicore-TSNE,,data-viz,https://github.com/DmitryUlyanov/Multicore-TSNE,https://github.com/DmitryUlyanov/Multicore-TSNE,BSD-3-Clause,2016-10-19 05:46:52.000000,2021-04-23 10:26:30.160000,2020-08-19 14:58:00.000000,200,37.0,20.0,1566,113.0,Parallel t-SNE implementation with Python and Torch wrappers.,15.0,23,True,2017-11-08 13:32:20.000000,0.0.1,3.0,MulticoreTSNE,conda-forge/multicore-tsne,,,['pytorch'],250.0,222.0,https://pypi.org/project/MulticoreTSNE,2019-01-09 07:23:04.000000,28.0,4799.0,5035.0,https://anaconda.org/conda-forge/multicore-tsne,2021-04-23 10:26:30.160000,6852.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n451,PyTextRank,DerwenAI/pytextrank,,nlp,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000000,2021-04-27 01:44:19.000000,2021-04-27 01:39:56.000000,300,17.0,50.0,1528,,Python implementation of TextRank for phrase extraction and summarization of text documents.,13.0,23,True,2021-03-25 19:46:28.000000,3.1.1,15.0,pytextrank,,,,,156.0,144.0,https://pypi.org/project/pytextrank,2021-03-25 19:46:28.000000,12.0,10753.0,10753.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n452,streamparse,Parsely/streamparse,,data-pipelines,https://github.com/Parsely/streamparse,https://github.com/Parsely/streamparse,Apache-2.0,2014-05-02 20:33:50.000000,2020-12-18 18:44:04.000000,2020-12-18 18:43:59.000000,219,69.0,263.0,1431,1059.0,\"Run Python in Apache Storm topologies. Pythonic API, CLI tooling, and a topology DSL.\",40.0,23,True,2020-10-07 19:53:15.000000,4.0.0,47.0,streamparse,,,,,100.0,48.0,https://pypi.org/project/streamparse,2020-10-07 19:45:19.000000,52.0,2936.0,2936.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n453,Talos,autonomio/talos,,hyperopt,https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41.000000,2021-04-10 08:48:31.000000,2020-11-21 16:27:04.000000,230,41.0,348.0,1391,538.0,\"Hyperparameter Optimization for TensorFlow, Keras and PyTorch.\",19.0,23,True,2020-11-09 16:48:30.000000,1.0,14.0,talos,,,,['tensorflow'],119.0,113.0,https://pypi.org/project/talos,2020-11-09 16:49:08.000000,6.0,2261.0,2261.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n454,fklearn,nubank/fklearn,,ml-frameworks,https://github.com/nubank/fklearn,https://github.com/nubank/fklearn,Apache-2.0,2019-02-27 14:32:57.000000,2021-04-28 13:19:12.000000,2021-04-28 13:19:08.000000,149,19.0,20.0,1311,118.0,fklearn: Functional Machine Learning.,37.0,23,True,2021-02-09 17:12:04.000000,1.22.0,20.0,fklearn,,,,,10.0,10.0,https://pypi.org/project/fklearn,2021-02-09 17:12:04.000000,,8047.0,8047.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n455,Pypeline,cgarciae/pypeln,,data-pipelines,https://github.com/cgarciae/pypeln,https://github.com/cgarciae/pypeln,MIT,2018-09-01 13:43:31.000000,2021-04-13 00:55:39.000000,2021-04-13 00:55:39.000000,69,14.0,36.0,1222,235.0,Concurrent data pipelines in Python .,10.0,23,True,2021-01-05 18:00:06.000000,0.4.7,34.0,pypeln,,,,,10.0,,https://pypi.org/project/pypeln,2021-01-05 18:00:06.000000,10.0,26143.0,26143.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n456,metric-learn,scikit-learn-contrib/metric-learn,,others,https://github.com/scikit-learn-contrib/metric-learn,https://github.com/scikit-learn-contrib/metric-learn,MIT,2013-11-02 08:29:47.000000,2021-04-28 08:46:22.000000,2021-04-26 08:27:27.000000,216,52.0,110.0,1138,266.0,Metric learning algorithms in Python.,19.0,23,True,2020-07-02 12:59:23.000000,0.6.2,10.0,metric-learn,,,,['sklearn'],152.0,134.0,https://pypi.org/project/metric-learn,2020-07-02 12:59:23.000000,18.0,7943.0,7943.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n457,tensorly,tensorly/tensorly,,others,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52.000000,2021-04-29 08:40:32.000000,2021-04-28 16:15:03.000000,205,34.0,105.0,1003,,TensorLy: Tensor Learning in Python.,43.0,23,True,2021-04-15 15:01:47.000000,0.5.1,17.0,tensorly,conda-forge/tensorly,,,,160.0,140.0,https://pypi.org/project/tensorly,2021-04-14 11:18:01.000000,20.0,8732.0,12470.0,https://anaconda.org/conda-forge/tensorly,2020-12-07 22:44:30.386000,130853.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n458,FinTA,peerchemist/finta,,financial-data,https://github.com/peerchemist/finta,https://github.com/peerchemist/finta,LGPL-3.0,2016-09-01 21:02:46.000000,2021-04-17 11:40:32.000000,2021-04-17 11:40:27.000000,327,10.0,62.0,997,382.0,Common financial technical indicators implemented in Pandas.,24.0,23,False,2021-04-03 08:51:49.000000,1.3,19.0,finta,,,,,75.0,71.0,https://pypi.org/project/finta,2020-10-21 11:39:44.000000,4.0,8140.0,8140.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n459,FairScale,facebookresearch/fairscale,,distributed-ml,https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000000,2021-04-28 22:46:26.000000,2021-04-28 22:46:23.000000,74,37.0,122.0,997,420.0,PyTorch extensions for high performance and large scale training.,29.0,23,True,2021-04-19 19:54:04.000000,0.3.5,18.0,fairscale,,,,['pytorch'],15.0,15.0,https://pypi.org/project/fairscale,2021-04-26 18:04:27.000000,0.0,17931.0,17931.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n460,Alibi,SeldonIO/alibi,,interpretability,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Apache-2.0,2019-02-26 10:10:56.000000,2021-04-29 14:20:26.000000,2021-04-29 14:21:41.000000,126,82.0,94.0,973,262.0,Algorithms for monitoring and explaining machine learning models.,13.0,23,True,2021-04-29 14:20:00.000000,0.5.8,18.0,alibi,,,,,95.0,77.0,https://pypi.org/project/alibi,2021-04-29 14:19:18.000000,18.0,9511.0,9511.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n461,ChainerRL,chainer/chainerrl,,reinforcement-learning,https://github.com/chainer/chainerrl,https://github.com/chainer/chainerrl,MIT,2017-01-30 04:58:15.000000,2021-04-17 06:02:31.000000,2021-04-17 06:02:30.000000,205,75.0,146.0,945,3471.0,ChainerRL is a deep reinforcement learning library built on top of Chainer.,29.0,23,True,2020-02-14 05:35:56.000000,0.8.0,10.0,chainerrl,,,,,111.0,97.0,https://pypi.org/project/chainerrl,2020-02-14 05:35:56.000000,14.0,638.0,638.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n462,ogb,snap-stanford/ogb,,graph,https://github.com/snap-stanford/ogb,https://github.com/snap-stanford/ogb,MIT,2019-11-22 22:13:57.000000,2021-04-27 08:09:01.000000,2021-04-27 08:08:58.000000,166,3.0,129.0,910,513.0,\"Benchmark datasets, data loaders, and evaluators for graph machine learning.\",14.0,23,True,2021-04-07 08:44:37.000000,1.3.1,14.0,ogb,,,,,83.0,83.0,https://pypi.org/project/ogb,2021-04-07 08:44:37.000000,0.0,6589.0,6589.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n463,keract,philipperemy/keract,,interpretability,https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57.000000,2021-04-28 23:15:44.000000,2021-01-24 05:36:29.000000,178,3.0,75.0,876,359.0,Layers Outputs and Gradients in Keras. Made easy.,15.0,23,True,2021-01-22 09:01:30.000000,4.4.0,37.0,keract,,,,['tensorflow'],81.0,76.0,https://pypi.org/project/keract,2021-01-22 09:01:30.000000,5.0,2283.0,2283.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n464,scikit-cuda,lebedov/scikit-cuda,,gpu-utilities,https://github.com/lebedov/scikit-cuda,https://github.com/lebedov/scikit-cuda,BSD-3-Clause,2010-09-27 02:02:07.000000,2021-03-30 14:24:47.000000,2021-03-30 14:24:27.000000,158,42.0,165.0,819,1029.0,Python interface to GPU-powered libraries.,44.0,23,True,2019-05-27 00:29:00.000000,0.5.3,7.0,scikit-cuda,,,,,196.0,126.0,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00.000000,70.0,845.0,845.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n465,GPUtil,anderskm/gputil,,gpu-utilities,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43.000000,2020-10-01 05:42:49.000000,2019-08-16 09:00:15.000000,79,11.0,14.0,711,140.0,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,13.0,23,False,2018-12-18 09:12:13.000000,1.4.0,8.0,gputil,,,,,1239.0,1137.0,https://pypi.org/project/gputil,2018-12-18 09:12:13.000000,102.0,100942.0,100942.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n466,arch,bashtage/arch,,financial-data,https://github.com/bashtage/arch,https://github.com/bashtage/arch,NCSA,2014-08-29 15:41:28.000000,2021-04-22 14:24:28.000000,2021-04-22 12:20:24.000000,163,13.0,138.0,698,,ARCH models in Python.,26.0,23,False,2021-03-16 08:28:41.000000,4.19,32.0,arch,,,,,329.0,287.0,https://pypi.org/project/arch,2021-03-16 08:30:20.000000,42.0,71278.0,71278.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n467,pingouin,raphaelvallat/pingouin,,probabilistics,https://github.com/raphaelvallat/pingouin,https://github.com/raphaelvallat/pingouin,GPL-3.0,2018-04-01 01:10:22.000000,2021-04-29 00:37:20.000000,2021-04-14 21:19:35.000000,57,12.0,121.0,698,1079.0,Statistical package in Python based on Pandas.,18.0,23,False,2021-04-14 21:19:07.000000,0.3.11,32.0,pingouin,conda-forge/pingouin,,,,219.0,209.0,https://pypi.org/project/pingouin,2021-02-16 05:37:08.000000,10.0,31781.0,33061.0,https://anaconda.org/conda-forge/pingouin,2021-04-14 23:58:01.810000,35843.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n468,Node2Vec,eliorc/node2vec,,graph,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000000,2021-04-16 07:45:36.000000,2021-04-16 07:42:56.000000,175,3.0,54.0,679,56.0,Implementation of the node2vec algorithm.,8.0,23,True,2021-04-16 07:45:36.000000,0.4.3,14.0,node2vec,conda-forge/node2vec,,,,142.0,132.0,https://pypi.org/project/node2vec,2021-04-02 06:33:26.000000,10.0,11189.0,11675.0,https://anaconda.org/conda-forge/node2vec,2020-04-25 22:41:13.714000,17035.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n469,TreeInterpreter,andosa/treeinterpreter,,interpretability,https://github.com/andosa/treeinterpreter,https://github.com/andosa/treeinterpreter,BSD-3-Clause,2015-08-02 20:26:21.000000,2021-02-28 18:33:06.000000,2021-02-28 18:33:06.000000,132,24.0,4.0,657,37.0,Package for interpreting scikit-learn's decision tree and random forest predictions.,11.0,23,True,2021-01-10 20:12:39.000000,0.2.3,5.0,treeinterpreter,,,,['sklearn'],151.0,133.0,https://pypi.org/project/treeinterpreter,2021-01-10 20:12:39.000000,18.0,175695.0,175695.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n470,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,,data-viz,https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14.000000,2021-04-26 07:04:32.000000,2021-04-26 06:56:07.000000,82,18.0,59.0,655,273.0,Bokeh Plotting Backend for Pandas and GeoPandas.,12.0,23,True,2021-04-11 17:43:13.000000,0.5.5,16.0,pandas-bokeh,,,,['pandas'],172.0,162.0,https://pypi.org/project/pandas-bokeh,2021-04-11 17:43:13.000000,10.0,9162.0,9162.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n471,scikit-multilearn,scikit-multilearn/scikit-multilearn,,sklearn-utils,https://github.com/scikit-multilearn/scikit-multilearn,https://github.com/scikit-multilearn/scikit-multilearn,BSD-2-Clause,2014-04-30 13:05:44.000000,2020-06-30 10:19:46.000000,2019-05-21 11:29:06.000000,120,66.0,92.0,655,487.0,A scikit-learn based module for multi-label et. al. classification.,15.0,23,False,2018-12-10 16:24:47.000000,0.2.0,6.0,scikit-multilearn,,,,['sklearn'],436.0,414.0,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47.000000,22.0,75503.0,75503.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n472,Mapbox GL,mapbox/mapboxgl-jupyter,,geospatial-data,https://github.com/mapbox/mapboxgl-jupyter,https://github.com/mapbox/mapboxgl-jupyter,MIT,2017-08-08 15:10:51.000000,2021-04-19 05:03:57.000000,2021-04-19 05:00:36.000000,121,35.0,67.0,563,221.0,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,21.0,23,True,2019-06-03 21:24:10.000000,0.10.2,20.0,mapboxgl,,,,['jupyter'],117.0,99.0,https://pypi.org/project/mapboxgl,2019-06-02 15:18:57.000000,18.0,8166.0,8166.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n473,CellProfiler,CellProfiler/CellProfiler,,image,https://github.com/CellProfiler/CellProfiler,https://github.com/CellProfiler/CellProfiler,BSD-3-Clause,2011-04-05 12:10:12.000000,2021-04-29 14:35:23.000000,2021-04-16 14:14:14.000000,273,173.0,2784.0,558,15310.0,An open-source application for biological image analysis.,119.0,23,True,2021-02-16 21:59:54.000000,4.1.3,41.0,cellprofiler,,,,,4.0,4.0,https://pypi.org/project/cellprofiler,2017-09-04 18:03:36.000000,,708.0,718.0,,,,,,,,3.0,,909.0,,,,,,,,,,,,,,,,,,,,\n474,combo,yzhao062/combo,,sklearn-utils,https://github.com/yzhao062/combo,https://github.com/yzhao062/combo,BSD-2-Clause,2019-07-14 01:13:36.000000,2021-03-29 00:05:33.000000,2021-03-15 01:39:54.000000,84,9.0,3.0,494,202.0,(AAAI' 20) A Python Toolbox for Machine Learning Model Combination.,1.0,23,True,2020-12-23 02:21:49.000000,0.1.2,12.0,combo,,,,\"['sklearn', 'xgboost']\",324.0,324.0,https://pypi.org/project/combo,2020-12-23 02:21:49.000000,0.0,27808.0,27808.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n475,tinytag,devsnd/tinytag,,audio,https://github.com/devsnd/tinytag,https://github.com/devsnd/tinytag,MIT,2014-01-27 15:27:01.000000,2021-03-28 14:28:00.000000,2021-03-28 14:27:32.000000,82,16.0,64.0,454,313.0,\"Read music meta data and length of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA and Wave files with python 2 or 3.\",18.0,23,True,2020-11-05 12:44:52.000000,1.5.0,33.0,tinytag,,,,,438.0,342.0,https://pypi.org/project/tinytag,2020-11-05 12:44:52.000000,96.0,5170.0,5170.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n476,python-ternary,marcharper/python-ternary,,data-viz,https://github.com/marcharper/python-ternary,https://github.com/marcharper/python-ternary,MIT,2012-08-07 23:48:55.000000,2021-03-31 17:34:05.000000,2021-03-31 17:34:05.000000,111,24.0,83.0,410,385.0,Ternary plotting library for python with matplotlib.,25.0,23,True,2021-02-17 18:38:15.000000,1.0.8,11.0,python-ternary,conda-forge/python-ternary,,,,84.0,64.0,https://pypi.org/project/python-ternary,2021-02-17 18:38:15.000000,20.0,3772.0,4648.0,https://anaconda.org/conda-forge/python-ternary,2021-02-17 22:38:55.625000,52573.0,,,,,3.0,,14.0,,,,,,,,,,,,,,,,,,,,\n477,messytables,okfn/messytables,,data-loading,https://github.com/okfn/messytables,https://github.com/okfn/messytables,MIT,2011-07-27 18:08:21.000000,2021-03-31 18:37:21.000000,2019-11-13 07:35:33.000000,101,34.0,55.0,365,601.0,Tools for parsing messy tabular data. This is now superseded by https://github.com/frictionlessdata/tabulator-py.,44.0,23,False,2017-02-09 12:37:47.000000,0.15.2,26.0,messytables,,,,,423.0,191.0,https://pypi.org/project/messytables,2017-02-09 12:37:47.000000,232.0,6874.0,6874.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n478,GeoViews,holoviz/geoviews,,geospatial-data,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000000,2021-04-13 11:40:25.000000,2021-04-13 11:40:25.000000,64,78.0,180.0,345,656.0,\"Simple, concise geographical visualization in Python.\",23.0,23,True,2021-03-13 16:29:11.000000,1.9.1,26.0,geoviews,conda-forge/geoviews,,,,20.0,,https://pypi.org/project/geoviews,2021-03-13 16:29:11.000000,20.0,7213.0,8998.0,https://anaconda.org/conda-forge/geoviews,2021-03-14 15:19:05.550000,66055.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n479,Cornac,PreferredAI/cornac,,recommender-systems,https://github.com/PreferredAI/cornac,https://github.com/PreferredAI/cornac,Apache-2.0,2018-07-17 06:31:35.000000,2021-04-28 21:57:17.000000,2021-04-24 08:28:45.000000,63,3.0,42.0,324,1174.0,A Comparative Framework for Multimodal Recommender Systems.,11.0,23,True,2021-03-30 03:20:12.000000,1.12.0,37.0,cornac,conda-forge/cornac,,,,42.0,40.0,https://pypi.org/project/cornac,2021-03-30 03:23:59.000000,2.0,3673.0,9429.0,https://anaconda.org/conda-forge/cornac,2021-03-30 16:45:43.648000,132400.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n480,pySBD,nipunsadvilkar/pySBD,,nlp,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20.000000,2021-04-25 08:42:15.000000,2021-02-11 16:40:18.000000,29,7.0,48.0,310,279.0,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,6.0,23,True,2021-02-11 16:42:37.000000,0.3.4,15.0,pysbd,,,,,140.0,136.0,https://pypi.org/project/pysbd,2021-02-11 16:36:33.000000,4.0,23916.0,23916.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n481,NIPY,nipy/nipy,,medical-data,https://github.com/nipy/nipy,https://github.com/nipy/nipy,BSD-3-Clause,2010-05-02 10:00:33.000000,2021-03-30 10:02:24.000000,2021-03-29 16:56:48.000000,123,43.0,110.0,295,6427.0,Neuroimaging in Python FMRI analysis package.,63.0,23,True,2018-02-19 14:14:08.000000,0.4.2,6.0,nipy,conda-forge/nipy,,,,82.0,,https://pypi.org/project/nipy,2018-02-19 14:14:08.000000,82.0,1740.0,3477.0,https://anaconda.org/conda-forge/nipy,2020-05-04 19:38:04.112000,78197.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n482,cuDF,rapidsai/cudf,,gpu-utilities,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000000,2021-04-29 15:11:14.000000,2021-04-29 14:33:23.000000,514,606.0,3033.0,3890,,cuDF - GPU DataFrame Library.,209.0,22,True,2021-04-28 18:30:45.000000,0.19.2,10.0,cudf,,,,,4.0,,https://pypi.org/project/cudf,2020-06-01 20:07:47.000000,4.0,1708.0,1708.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n483,MatchZoo,NTMC-Community/MatchZoo,,nlp,https://github.com/NTMC-Community/MatchZoo,https://github.com/NTMC-Community/MatchZoo,Apache-2.0,2017-06-08 08:55:22.000000,2020-06-17 07:27:59.000000,2019-10-24 13:10:07.000000,877,27.0,428.0,3413,1808.0,\"Facilitating the design, comparison and sharing of deep text matching models.\",35.0,22,False,2019-10-24 13:09:11.000000,2.2.0,5.0,matchzoo,,,,['tensorflow'],10.0,10.0,https://pypi.org/project/matchzoo,2019-10-24 13:09:11.000000,,209.0,209.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n484,AdaNet,tensorflow/adanet,,hyperopt,https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24.000000,2020-07-09 21:03:28.000000,2020-07-09 20:51:04.000000,509,65.0,47.0,3274,439.0,Fast and flexible AutoML with learning guarantees.,26.0,22,True,2020-07-09 21:03:28.000000,0.9.0,13.0,adanet,,,,['tensorflow'],38.0,36.0,https://pypi.org/project/adanet,2020-07-09 21:03:28.000000,2.0,1237.0,1237.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n485,TensorTrade,tensortrade-org/tensortrade,,financial-data,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32.000000,2021-03-28 04:53:21.000000,2021-03-24 16:25:28.000000,706,27.0,143.0,3156,883.0,\"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.\",50.0,22,True,,,26.0,tensortrade,,,,,16.0,15.0,https://pypi.org/project/tensortrade,2020-12-20 18:30:31.000000,1.0,1571.0,1571.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n486,TensorWatch,microsoft/tensorwatch,,ml-experiments,https://github.com/microsoft/tensorwatch,https://github.com/microsoft/tensorwatch,MIT,2019-05-15 08:29:34.000000,2021-04-13 09:44:02.000000,2021-01-15 19:46:05.000000,326,49.0,15.0,3078,112.0,\"Debugging, monitoring and visualization for Python Machine Learning and Data Science.\",13.0,22,True,2020-03-04 07:26:22.000000,0.9.1,14.0,tensorwatch,,,,,54.0,48.0,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22.000000,6.0,4830.0,4830.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n487,Image Super-Resolution,idealo/image-super-resolution,,image,https://github.com/idealo/image-super-resolution,https://github.com/idealo/image-super-resolution,Apache-2.0,2018-11-26 13:41:13.000000,2021-04-08 09:55:00.000000,2020-11-11 15:09:19.000000,509,66.0,102.0,2728,138.0,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,9.0,22,True,2020-01-08 15:37:35.000000,2.2.0,11.0,ISR,,idealo/image-super-resolution-gpu,,['tensorflow'],55.0,47.0,https://pypi.org/project/ISR,2020-01-08 15:37:35.000000,8.0,5049.0,5053.0,,,,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,,138.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n488,gpt-2-simple,minimaxir/gpt-2-simple,,nlp,https://github.com/minimaxir/gpt-2-simple,https://github.com/minimaxir/gpt-2-simple,MIT,2019-04-13 20:00:52.000000,2021-04-20 23:55:42.000000,2021-02-14 19:39:38.000000,540,144.0,93.0,2636,133.0,Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts.,17.0,22,True,2021-02-14 21:13:20.000000,0.7.2,16.0,gpt-2-simple,,,,['tensorflow'],6.0,,https://pypi.org/project/gpt-2-simple,2021-02-14 20:20:24.000000,6.0,11529.0,11538.0,,,,,,,,3.0,,217.0,,,,,,,,,,,,,,,,,,,,\n489,tensorflow-graphics,tensorflow/graphics,,image,https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44.000000,2021-04-27 17:08:08.000000,2021-04-19 19:37:05.000000,286,104.0,84.0,2450,658.0,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,32.0,22,True,2020-05-20 19:56:41.000000,2020.5.20,21.0,tensorflow-graphics,,,,['tensorflow'],4.0,1.0,https://pypi.org/project/tensorflow-graphics,2020-05-20 19:56:41.000000,3.0,2780.0,2780.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n490,MMLSpark,Azure/mmlspark,,distributed-ml,https://github.com/Azure/mmlspark,https://github.com/Azure/mmlspark,MIT,2017-06-05 08:23:44.000000,2021-04-29 05:22:49.000000,2021-04-27 18:50:55.000000,503,202.0,224.0,2319,808.0,Microsoft Machine Learning for Apache Spark.,64.0,22,True,2020-10-02 19:36:01.000000,1.0.0-rc3,17.0,mmlspark,,,,['spark'],,,https://pypi.org/project/mmlspark,2020-03-18 01:27:31.000000,,42479.0,42479.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n491,Mars,mars-project/mars,,others,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03.000000,2021-04-29 14:53:38.000000,2021-04-28 11:55:36.000000,247,122.0,683.0,2108,785.0,\"Mars is a tensor-based unified framework for large-scale data computation which scales Numpy, pandas, Scikit-learn and..\",19.0,22,True,2021-04-11 08:20:27.000000,0.6.8,81.0,pymars,,,,,5.0,5.0,https://pypi.org/project/pymars,2021-04-11 08:41:06.000000,0.0,5861.0,5861.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n492,TextDistance,life4/textdistance,,nlp,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10.000000,2021-01-29 15:41:57.288000,2021-01-29 09:03:55.000000,165,9.0,,1962,304.0,\"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..\",9.0,22,True,2021-01-29 09:04:46.000000,.4.2.1,21.0,textdistance,conda-forge/textdistance,,,,547.0,519.0,https://pypi.org/project/textdistance,2021-01-29 09:03:27.000000,28.0,,984.0,https://anaconda.org/conda-forge/textdistance,2021-01-29 15:41:57.288000,34371.0,,,,,3.0,-3.0,105.0,,,,,,,,,,,,,,,,,,,,\n493,m2cgen,BayesWitnesses/m2cgen,,model-serialisation,https://github.com/BayesWitnesses/m2cgen,https://github.com/BayesWitnesses/m2cgen,MIT,2019-01-13 02:32:55.000000,2021-04-29 05:17:14.000000,2021-04-28 20:02:29.000000,153,36.0,43.0,1789,255.0,\"Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart,..\",12.0,22,True,2020-09-18 19:17:26.000000,0.9.0,12.0,m2cgen,,,,,6.0,6.0,https://pypi.org/project/m2cgen,2020-09-18 19:16:17.000000,,23898.0,23898.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n494,STUMPY,TDAmeritrade/stumpy,,time-series-data,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000000,2021-04-20 11:07:02.000000,2021-04-20 11:06:42.000000,166,26.0,204.0,1769,,\"STUMPY is a powerful and scalable Python library for computing a Matrix Profile, which can be used for a variety of..\",21.0,22,True,2021-02-04 19:05:43.000000,1.8.0,19.0,stumpy,conda-forge/stumpy,,,,0.0,,https://pypi.org/project/stumpy,2021-02-04 19:05:43.000000,0.0,61944.0,62832.0,https://anaconda.org/conda-forge/stumpy,2021-02-05 23:28:08.904000,20440.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n495,vidgear,abhiTronix/vidgear,,image,https://github.com/abhiTronix/vidgear,https://github.com/abhiTronix/vidgear,Apache-2.0,2019-03-17 02:42:42.000000,2021-04-27 07:12:00.000000,2021-04-25 17:12:04.000000,122,4.0,140.0,1740,649.0,High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features.,6.0,22,True,2021-04-25 18:49:14.000000,idgear-0.2.1,13.0,vidgear,,,,,102.0,100.0,https://pypi.org/project/vidgear,2021-01-01 07:57:09.000000,2.0,2156.0,2169.0,,,,,,,,3.0,,336.0,,,,,,,,,,,,,,,,,,,,\n496,lore,instacart/lore,,ml-experiments,https://github.com/instacart/lore,https://github.com/instacart/lore,MIT,2017-10-19 21:51:45.000000,2021-02-22 18:13:04.000000,2020-05-11 22:26:45.000000,119,16.0,18.0,1515,270.0,Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers.,22.0,22,True,2020-05-11 22:28:23.000000,0.8.4,231.0,lore,,,,,17.0,16.0,https://pypi.org/project/lore,2020-05-11 22:28:23.000000,1.0,2573.0,2573.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n497,Neural Tangents,google/neural-tangents,,ml-frameworks,https://github.com/google/neural-tangents,https://github.com/google/neural-tangents,Apache-2.0,2019-04-08 16:48:48.000000,2021-04-21 18:20:21.000000,2021-04-21 18:20:17.000000,154,28.0,56.0,1405,372.0,Fast and Easy Infinite Neural Networks in Python.,18.0,22,True,2021-01-25 23:20:02.000000,0.3.6,20.0,neural-tangents,,,,,14.0,14.0,https://pypi.org/project/neural-tangents,2021-01-25 23:06:16.000000,0.0,688.0,699.0,,,,,,,,3.0,,112.0,,,,,,,,,,,,,,,,,,,,\n498,anaGo,Hironsan/anago,,nlp,https://github.com/Hironsan/anago,https://github.com/Hironsan/anago,MIT,2017-06-26 21:28:36.000000,2021-04-01 12:35:21.000000,2021-04-01 12:34:50.000000,360,36.0,71.0,1399,298.0,\"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.\",11.0,22,True,2018-07-17 01:59:21.000000,1.0.8,14.0,anago,,,,['tensorflow'],30.0,25.0,https://pypi.org/project/anago,2018-07-17 01:59:21.000000,5.0,3524.0,3524.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n499,EfficientNets,rwightman/gen-efficientnet-pytorch,,pytorch-utils,https://github.com/rwightman/gen-efficientnet-pytorch,https://github.com/rwightman/gen-efficientnet-pytorch,Apache-2.0,2019-05-11 19:35:56.000000,2021-04-16 18:42:01.000000,2020-11-30 05:49:27.000000,175,,48.0,1308,106.0,\"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.\",5.0,22,True,2020-08-20 19:55:21.000000,1.0.0,9.0,geffnet,,,,['pytorch'],48.0,48.0,https://pypi.org/project/geffnet,2020-08-20 19:55:21.000000,0.0,5990.0,5990.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n500,Torchmeta,tristandeleu/pytorch-meta,,pytorch-utils,https://github.com/tristandeleu/pytorch-meta,https://github.com/tristandeleu/pytorch-meta,MIT,2018-12-04 23:36:45.000000,2021-04-13 10:29:29.000000,2021-03-19 14:47:19.000000,147,27.0,77.0,1307,342.0,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.,10.0,22,True,2021-03-19 14:49:53.000000,1.7.0,27.0,torchmeta,,,,['pytorch'],36.0,36.0,https://pypi.org/project/torchmeta,2021-03-19 14:49:53.000000,,1133.0,1133.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n501,Karate Club,benedekrozemberczki/karateclub,,graph,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56.000000,2021-04-11 20:49:05.000000,2021-04-11 20:48:57.000000,146,,54.0,1237,2122.0,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,11.0,22,False,2021-03-30 00:11:09.000000,_10024,97.0,karateclub,,,,,36.0,36.0,https://pypi.org/project/karateclub,2021-03-30 00:05:59.000000,0.0,8794.0,8794.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n502,Torch Points 3D,nicolas-chaulet/torch-points3d,,image,https://github.com/nicolas-chaulet/torch-points3d,https://github.com/nicolas-chaulet/torch-points3d,BSD-3-Clause,2019-12-06 11:33:34.000000,2021-04-21 14:56:52.000000,2021-04-21 14:56:49.000000,182,51.0,177.0,1209,1623.0,Pytorch framework for doing deep learning on point clouds.,21.0,22,True,2020-12-18 10:34:16.000000,1.2.0,13.0,torch-points3d,,,,['pytorch'],2.0,2.0,https://pypi.org/project/torch-points3d,2020-12-18 10:34:16.000000,,565.0,565.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n503,FARM,deepset-ai/FARM,,nlp,https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12.000000,2021-04-07 10:11:07.000000,2021-04-07 10:11:07.000000,173,38.0,316.0,1179,550.0,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,32.0,22,True,2021-03-31 14:33:39.000000,0.7.1,23.0,farm,,,,['pytorch'],2.0,,https://pypi.org/project/farm,2021-02-22 17:30:04.000000,2.0,6433.0,6433.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n504,mljar-supervised,mljar/mljar-supervised,,hyperopt,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000000,2021-04-29 13:10:56.000000,2021-04-29 13:10:56.000000,133,56.0,324.0,1127,886.0,Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning.,9.0,22,True,2021-04-01 15:02:32.000000,0.10.3,70.0,mljar-supervised,,,,,10.0,10.0,https://pypi.org/project/mljar-supervised,2021-04-01 14:13:12.000000,,3688.0,3688.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n505,Higher,facebookresearch/higher,,pytorch-utils,https://github.com/facebookresearch/higher,https://github.com/facebookresearch/higher,Apache-2.0,2019-09-06 18:58:36.000000,2021-03-02 09:56:03.000000,2021-03-02 09:56:03.000000,79,32.0,48.0,1104,29.0,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,8.0,22,True,2020-07-14 12:20:32.000000,0.2.1,2.0,higher,,,,['pytorch'],49.0,49.0,https://pypi.org/project/higher,2020-07-14 12:20:32.000000,0.0,23110.0,23110.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n506,pycm,sepandhaghighi/pycm,,others,https://github.com/sepandhaghighi/pycm,https://github.com/sepandhaghighi/pycm,MIT,2018-01-22 19:46:54.000000,2021-04-29 15:16:14.000000,2021-03-11 15:42:19.000000,93,12.0,155.0,1089,2619.0,Multi-class confusion matrix library in Python.,14.0,22,True,2021-03-11 15:51:49.000000,3.1,35.0,pycm,,,,,107.0,97.0,https://pypi.org/project/pycm,2021-03-11 15:52:23.000000,10.0,5973.0,5973.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n507,pandasql,yhat/pandasql,,data-containers,https://github.com/yhat/pandasql,https://github.com/yhat/pandasql,MIT,2013-02-18 01:53:56.000000,2020-08-14 13:00:13.000000,2017-02-01 15:40:30.000000,141,44.0,23.0,969,127.0,sqldf for pandas.,15.0,22,False,2016-04-20 21:52:36.000000,0.7.3,31.0,pandasql,,,,['pandas'],820.0,722.0,https://pypi.org/project/pandasql,2016-04-20 21:52:36.000000,98.0,332624.0,332624.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n508,SciSpacy,allenai/scispacy,,nlp,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52.000000,2021-04-19 22:02:42.000000,2021-04-19 22:02:36.000000,129,23.0,153.0,895,,A full spaCy pipeline and models for scientific/biomedical documents.,20.0,22,True,2021-02-12 22:56:06.000000,0.4.0,10.0,scispacy,,,,,255.0,243.0,https://pypi.org/project/scispacy,2021-02-12 22:56:06.000000,12.0,17239.0,17239.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n509,minisom,JustGlowing/minisom,,others,https://github.com/JustGlowing/minisom,https://github.com/JustGlowing/minisom,CC-BY-3.0,2013-07-03 10:10:06.000000,2021-04-26 15:26:05.000000,2021-04-26 14:25:36.000000,264,6.0,67.0,827,445.0,MiniSom is a minimalistic implementation of the Self Organizing Maps.,21.0,22,False,2021-04-24 17:22:39.000000,2.2.9,1.0,minisom,,,,,169.0,161.0,https://pypi.org/project/minisom,2021-04-24 17:21:29.000000,8.0,4616.0,4616.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n510,Neural Structured Learning,tensorflow/neural-structured-learning,,tensorflow-utils,https://github.com/tensorflow/neural-structured-learning,https://github.com/tensorflow/neural-structured-learning,Apache-2.0,2019-08-27 21:48:16.000000,2021-04-29 02:36:22.000000,2021-04-29 02:36:15.000000,143,6.0,40.0,809,422.0,Training neural models with structured signals.,27.0,22,True,2020-08-18 00:35:35.000000,1.3.1,7.0,neural-structured-learning,,,,['tensorflow'],58.0,58.0,https://pypi.org/project/neural-structured-learning,2020-08-18 00:35:35.000000,0.0,6103.0,6103.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n511,tf-explain,sicara/tf-explain,,interpretability,https://github.com/sicara/tf-explain,https://github.com/sicara/tf-explain,MIT,2019-07-15 08:26:24.000000,2021-04-19 12:18:12.000000,2021-04-19 12:18:11.000000,77,33.0,46.0,801,198.0,Interpretability Methods for tf.keras models with Tensorflow 2.x.,14.0,22,True,2021-02-16 18:59:38.000000,0.3.0,7.0,tf-explain,,,,['tensorflow'],71.0,69.0,https://pypi.org/project/tf-explain,2021-02-16 18:59:38.000000,2.0,1522.0,1522.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n512,Opacus,pytorch/opacus,,privacy-ml,https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000000,2021-04-27 17:15:01.000000,2021-04-27 17:11:11.000000,117,14.0,63.0,799,244.0,Training PyTorch models with differential privacy.,29.0,22,True,2021-03-10 19:25:01.000000,0.13.0,8.0,opacus,,,,['pytorch'],28.0,28.0,https://pypi.org/project/opacus,2021-03-10 19:25:01.000000,0.0,7418.0,7420.0,,,,,,,,2.0,,31.0,,,,,,,,,,,,,,,,,,,,\n513,fairlearn,fairlearn/fairlearn,,interpretability,https://github.com/fairlearn/fairlearn,https://github.com/fairlearn/fairlearn,MIT,2018-05-15 01:51:35.000000,2021-04-29 08:17:48.000000,2021-04-29 08:17:48.000000,184,80.0,125.0,772,556.0,A Python package to assess and improve fairness of machine learning models.,35.0,22,True,2021-04-13 22:37:32.000000,0.6.1,14.0,fairlearn,conda-forge/fairlearn,,,['sklearn'],2.0,,https://pypi.org/project/fairlearn,2021-04-13 22:37:32.000000,2.0,17444.0,18274.0,https://anaconda.org/conda-forge/fairlearn,2021-04-13 16:53:34.138000,11626.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n514,stockstats,jealous/stockstats,,financial-data,https://github.com/jealous/stockstats,https://github.com/jealous/stockstats,BSD-3-Clause,2016-06-05 15:21:22.000000,2020-12-10 07:08:11.000000,2020-10-17 10:59:35.000000,213,29.0,31.0,764,23.0,Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.,7.0,22,True,2020-10-17 11:10:43.000000,0.3.2,14.0,stockstats,,,,,282.0,234.0,https://pypi.org/project/stockstats,2020-10-17 11:10:43.000000,48.0,42845.0,42845.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n515,kapre,keunwoochoi/kapre,,audio,https://github.com/keunwoochoi/kapre,https://github.com/keunwoochoi/kapre,MIT,2016-12-14 18:36:36.000000,2021-03-25 21:02:49.000000,2021-03-25 21:02:44.000000,129,6.0,80.0,733,190.0,kapre: Keras Audio Preprocessors.,13.0,22,True,2021-03-18 22:14:02.000000,Kapre-0.3.5,21.0,kapre,,,,['tensorflow'],720.0,698.0,https://pypi.org/project/kapre,2020-09-29 18:49:13.000000,22.0,2389.0,2389.0,,,,,,,,3.0,,10.0,,,,,,,,,,,,,,,,,,,,\n516,gmaps,pbugnion/gmaps,,geospatial-data,https://github.com/pbugnion/gmaps,https://github.com/pbugnion/gmaps,BSD-3-Clause,2014-12-01 09:12:06.000000,2020-10-13 07:09:18.000000,2019-07-22 06:22:45.000000,143,66.0,135.0,711,1380.0,Google maps for Jupyter notebooks.,16.0,22,False,2019-07-21 08:49:48.715000,0.9.0,94.0,gmaps,conda-forge/gmaps,,,['jupyter'],75.0,1.0,https://pypi.org/project/gmaps,2019-07-21 08:49:39.000000,74.0,9884.0,16732.0,https://anaconda.org/conda-forge/gmaps,2019-08-02 11:56:50.940000,220978.0,,,,,3.0,,,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715000,,2147.0,,,,,,,,,,,,,,\n517,NeuPy,itdxer/neupy,,ml-frameworks,https://github.com/itdxer/neupy,https://github.com/itdxer/neupy,MIT,2015-08-24 19:45:11.000000,2021-03-18 20:44:32.000000,2019-09-02 19:02:38.000000,148,27.0,231.0,676,1145.0,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,6.0,22,False,2019-04-04 19:44:59.000000,0.8.2,34.0,neupy,,,,,112.0,101.0,https://pypi.org/project/neupy,2019-04-04 19:43:06.000000,11.0,1876.0,1876.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n518,torch-scatter,rusty1s/pytorch_scatter,,pytorch-utils,https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23.000000,2021-03-25 07:25:04.000000,2021-03-25 07:25:00.000000,76,69.0,124.0,649,825.0,PyTorch Extension Library of Optimized Scatter Operations.,15.0,22,True,2021-03-03 06:21:28.000000,2.0.6,26.0,torch-scatter,,,,['pytorch'],32.0,,https://pypi.org/project/torch-scatter,2021-03-03 06:21:28.000000,32.0,22274.0,22274.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n519,TensorBoard Logger,TeamHG-Memex/tensorboard_logger,,ml-experiments,https://github.com/TeamHG-Memex/tensorboard_logger,https://github.com/TeamHG-Memex/tensorboard_logger,MIT,2016-10-27 14:02:25.000000,2021-03-25 21:30:56.000000,2019-10-21 07:52:07.000000,52,9.0,15.0,611,46.0,Log TensorBoard events without touching TensorFlow.,5.0,22,False,2018-02-08 07:28:51.000000,0.1.0,5.0,tensorboard_logger,,,,,96.0,,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51.000000,96.0,90308.0,90308.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n520,Guild AI,guildai/guildai,,ml-experiments,https://github.com/guildai/guildai,https://github.com/guildai/guildai,Apache-2.0,2017-09-27 18:57:50.000000,2021-04-12 20:27:53.000000,2021-04-12 19:55:04.000000,41,101.0,167.0,573,4527.0,\"Experiment tracking, ML developer tools.\",16.0,22,True,2021-03-25 22:43:31.000000,0.7.3,170.0,guildai,,,,,27.0,27.0,https://pypi.org/project/guildai,2021-04-12 20:27:53.000000,,5670.0,5670.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n521,pickleDB,patx/pickledb,,data-containers,https://github.com/patx/pickledb,https://github.com/patx/pickledb,BSD-3-Clause,2011-10-28 00:04:40.000000,2021-03-23 21:52:22.000000,2019-11-15 03:38:30.000000,99,22.0,39.0,561,105.0,pickleDB is an open source key-value store using Python's json module.,11.0,22,False,2019-01-14 18:48:25.000000,0.9.2,20.0,pickledb,,,,,681.0,569.0,https://pypi.org/project/pickledb,2019-01-14 18:48:25.000000,112.0,8428.0,8428.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n522,lazypredict,shankarpandala/lazypredict,,hyperopt,https://github.com/shankarpandala/lazypredict,https://github.com/shankarpandala/lazypredict,MIT,2019-11-16 09:56:35.000000,2021-04-10 02:38:00.000000,2021-04-10 02:37:59.000000,93,17.0,30.0,453,195.0,Lazy Predict help build a lot of basic models without much code and helps understand which models works better without..,12.0,22,True,2021-02-17 15:38:45.000000,0.2.9,11.0,lazypredict,,,,['sklearn'],57.0,57.0,https://pypi.org/project/lazypredict,2021-02-17 15:38:45.000000,,3976.0,3976.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n523,random-forest-importances,parrt/random-forest-importances,,interpretability,https://github.com/parrt/random-forest-importances,https://github.com/parrt/random-forest-importances,MIT,2018-03-22 19:20:13.000000,2021-01-30 21:50:08.000000,2021-01-30 21:50:02.000000,95,4.0,27.0,436,249.0,Code to compute permutation and drop-column importances in Python scikit-learn models.,14.0,22,True,2021-01-28 23:23:17.000000,1.3.7,22.0,rfpimp,,,,['sklearn'],74.0,70.0,https://pypi.org/project/rfpimp,2021-01-28 23:19:33.000000,4.0,29549.0,29549.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n524,SDV,sdv-dev/SDV,,data-loading,https://github.com/sdv-dev/SDV,https://github.com/sdv-dev/SDV,MIT,2018-05-11 15:56:50.000000,2021-04-29 00:54:41.000000,2021-04-28 19:02:49.000000,73,70.0,178.0,400,823.0,\"Synthetic Data Generation for tabular, relational and time series data.\",34.0,22,True,2021-04-01 01:14:47.000000,0.9.0,45.0,sdv,,,,,21.0,21.0,https://pypi.org/project/sdv,2021-04-28 19:02:45.000000,0.0,6348.0,6348.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n525,PyTorch Sparse,rusty1s/pytorch_sparse,,pytorch-utils,https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53.000000,2021-04-25 08:04:42.000000,2021-04-25 08:04:42.000000,52,46.0,60.0,398,535.0,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,15.0,22,True,2021-03-03 15:26:45.000000,0.6.9,21.0,torch-sparse,,,,['pytorch'],34.0,,https://pypi.org/project/torch-sparse,2020-11-02 10:43:20.000000,34.0,14341.0,14341.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n526,Studio.ml,studioml/studio,,ml-experiments,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28.000000,2021-04-27 21:29:32.000000,2021-03-27 00:10:16.000000,51,56.0,192.0,372,2353.0,Studio: Simplify and expedite model building process.,21.0,22,True,2021-03-19 21:35:43.000000,0.0.43,195.0,studioml,,,,,4.0,4.0,https://pypi.org/project/studioml,2021-04-27 21:29:32.000000,,2317.0,2317.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n527,torch-cluster,rusty1s/pytorch_cluster,,graph,https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06.000000,2021-04-24 08:13:56.000000,2021-03-06 06:14:04.000000,71,38.0,41.0,364,521.0,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,18.0,22,True,2021-03-01 13:58:47.000000,1.5.9,39.0,torch-cluster,,,,['pytorch'],32.0,,https://pypi.org/project/torch-cluster,2021-03-01 12:28:43.000000,32.0,9927.0,9927.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n528,joypy,sbebo/joypy,,data-viz,https://github.com/sbebo/joypy,https://github.com/sbebo/joypy,MIT,2017-07-30 17:18:50.000000,2021-04-02 15:12:19.000000,2021-04-02 15:10:14.000000,33,5.0,36.0,327,110.0,Joyplots in Python with matplotlib & pandas.,5.0,22,True,2020-12-28 11:54:36.000000,0.2.4,16.0,joypy,conda-forge/joypy,,,,80.0,74.0,https://pypi.org/project/joypy,2020-12-28 11:54:36.000000,6.0,8272.0,8640.0,https://anaconda.org/conda-forge/joypy,2020-12-28 14:07:53.760000,9218.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n529,scikit-rebate,EpistasisLab/scikit-rebate,,others,https://github.com/EpistasisLab/scikit-rebate,https://github.com/EpistasisLab/scikit-rebate,MIT,2016-09-19 13:36:17.000000,2021-03-20 17:11:52.000000,2021-02-15 17:10:59.000000,58,13.0,18.0,317,283.0,\"A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for..\",13.0,22,True,2017-04-12 16:12:01.000000,0.3.4,13.0,skrebate,,,,['sklearn'],191.0,129.0,https://pypi.org/project/skrebate,2021-03-20 17:11:52.000000,62.0,2133.0,2133.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n530,vega,vega/ipyvega,,data-viz,https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000000,2021-04-02 09:23:26.000000,2021-04-02 09:23:25.000000,44,8.0,79.0,300,492.0,IPython/Jupyter notebook module for Vega and Vega-Lite.,9.0,22,True,2020-05-15 23:40:02.000000,3.4.0,37.0,vega,conda-forge/vega,,,['jupyter'],148.0,,https://pypi.org/project/vega,2020-05-15 23:40:02.000000,148.0,19259.0,26361.0,https://anaconda.org/conda-forge/vega,2020-12-10 15:03:57.175000,411949.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n531,py3nvml,fbcotter/py3nvml,,gpu-utilities,https://github.com/fbcotter/py3nvml,https://github.com/fbcotter/py3nvml,BSD-3-Clause,2016-11-21 01:07:37.000000,2020-10-10 10:41:08.987000,2020-04-23 06:54:42.000000,24,1.0,10.0,173,79.0,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,6.0,22,True,2020-04-06 16:02:10.000000,0.2.6,13.0,py3nvml,conda-forge/py3nvml,,,,278.0,258.0,https://pypi.org/project/py3nvml,2020-04-06 16:02:10.000000,20.0,111856.0,112917.0,https://anaconda.org/conda-forge/py3nvml,2020-10-10 10:41:08.987000,15924.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n532,stop-words,Alir3z4/python-stop-words,,nlp,https://github.com/Alir3z4/python-stop-words,https://github.com/Alir3z4/python-stop-words,BSD-3-Clause,2014-05-26 06:44:03.000000,2019-10-16 15:01:43.000000,2018-07-23 21:04:09.000000,23,3.0,9.0,123,90.0,Get list of common stop words in various languages in Python.,8.0,22,False,2018-07-23 20:58:34.000000,2018.7.23,8.0,stop-words,,,,,1432.0,1174.0,https://pypi.org/project/stop-words,2018-07-23 20:55:55.000000,258.0,78538.0,78538.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n533,pyexcel-xlsx,pyexcel/pyexcel-xlsx,,data-loading,https://github.com/pyexcel/pyexcel-xlsx,https://github.com/pyexcel/pyexcel-xlsx,BSD-3-Clause,2014-12-02 00:03:24.000000,2020-11-28 22:30:58.000000,2020-11-28 22:30:53.000000,16,12.0,20.0,88,267.0,\"A wrapper library to read, manipulate and write data in xlsx and xlsm format using openpyxl.\",4.0,22,False,2020-10-10 13:13:32.000000,0.6.0,30.0,pyexcel-xlsx,conda-forge/pyexcel-xlsx,,,,1490.0,1180.0,https://pypi.org/project/pyexcel-xlsx,2020-10-10 13:13:32.000000,310.0,84457.0,84841.0,https://anaconda.org/conda-forge/pyexcel-xlsx,2020-10-10 15:53:49.660000,16130.0,,,,,3.0,,46.0,,,,,,,,,,,,,,,,,,,,\n534,PyStan,stan-dev/pystan,,probabilistics,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,ISC,2017-03-06 19:56:42.094000,2021-04-26 12:26:17.000000,2021-04-26 12:26:17.000000,16,13.0,116.0,66,,\"PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io.\",7.0,22,False,2021-04-02 15:19:02.000000,3.0.1,60.0,pystan,conda-forge/pystan,,,,342.0,,https://pypi.org/project/pystan,2021-04-02 15:19:02.000000,342.0,1098656.0,1118405.0,https://anaconda.org/conda-forge/pystan,2020-08-25 22:40:14.631000,967715.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n535,openpyxl,,,data-loading,,https://openpyxl.readthedocs.io,MIT,2015-11-03 00:22:17.154000,2021-03-13 16:57:07.865000,,0,200.0,1472.0,19,,A Python library to read/write Excel 2010 xlsx/xlsm files.,,22,False,2021-03-10 19:38:02.000000,3.0.7,97.0,openpyxl,openpyxl,openpyxl/openpyxl-ci,https://openpyxl.readthedocs.io/en/stable/,,9770.0,,https://pypi.org/project/openpyxl,2021-03-09 19:13:10.000000,9770.0,11197611.0,11198366.0,https://anaconda.org/anaconda/openpyxl,2021-03-13 16:57:07.865000,47949.0,https://hub.docker.com/r/openpyxl/openpyxl-ci,2018-09-13 18:04:17.646261,,1183.0,3.0,,,,,,,,,0.0,,,,,,,,,,,,https://foss.heptapod.net/api/graphql::openpyxl/openpyxl,https://foss.heptapod.net/openpyxl/openpyxl\n536,Recommenders,microsoft/recommenders,,recommender-systems,https://github.com/microsoft/recommenders,https://github.com/microsoft/recommenders,MIT,2018-09-19 10:06:07.000000,2021-04-29 12:52:13.000000,2021-04-06 13:17:27.000000,1679,126.0,445.0,9591,6334.0,Best Practices on Recommendation Systems.,93.0,21,True,2021-02-04 14:08:48.000000,2021.2,7.0,,,,,,2.0,2.0,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n537,Dejavu,worldveil/dejavu,,audio,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35.000000,2020-10-29 17:40:17.000000,2020-06-03 05:58:03.000000,1250,84.0,129.0,5396,146.0,Audio fingerprinting and recognition in Python.,23.0,21,True,2015-04-19 21:20:16.000000,0.1.3,4.0,PyDejavu,,,,,21.0,18.0,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16.000000,3.0,170.0,170.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n538,TTS,mozilla/TTS,,audio,https://github.com/mozilla/TTS,https://github.com/mozilla/TTS,MPL-2.0,2018-01-23 14:22:06.000000,2021-04-24 06:44:08.000000,2021-02-12 10:36:31.000000,734,32.0,457.0,4607,2184.0,Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts).,55.0,21,True,2021-01-29 00:03:56.000000,0.0.9,1.0,,,,,,,,,,,,175.0,,,,,,,,3.0,,527.0,,,,,,,,,,,,,,,,,,,,\n539,mace,XiaoMi/mace,,ml-frameworks,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12.000000,2021-04-23 07:02:30.000000,2021-04-22 02:53:22.000000,758,42.0,599.0,4350,3147.0,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,57.0,21,True,2021-03-18 10:07:32.000000,1.0.4,11.0,,,,,,,,,,,,41.0,,,,,,,,3.0,,1338.0,,,,,,,,,,,,,,,,,,,,\n540,MMF,facebookresearch/mmf,,image,https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40.000000,2021-04-29 08:16:43.000000,2021-04-29 08:16:39.000000,646,113.0,375.0,4347,859.0,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,62.0,21,True,2019-08-26 19:04:21.000000,0.3.1,12.0,mmf,,,,['pytorch'],7.0,7.0,https://pypi.org/project/mmf,2020-06-12 22:15:02.000000,0.0,802.0,802.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n541,vit-pytorch,lucidrains/vit-pytorch,,image,https://github.com/lucidrains/vit-pytorch,https://github.com/lucidrains/vit-pytorch,MIT,2020-10-03 22:47:24.000000,2021-04-27 18:45:51.000000,2021-04-27 18:45:46.000000,435,37.0,54.0,3898,,\"Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single..\",6.0,21,True,2021-04-27 15:41:58.000000,0.16.12,66.0,vit-pytorch,,,,['pytorch'],13.0,13.0,https://pypi.org/project/vit-pytorch,2021-04-27 15:41:58.000000,,3715.0,3715.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n542,DeepMatcher,anhaidgroup/deepmatcher,,nlp,https://github.com/anhaidgroup/deepmatcher,https://github.com/anhaidgroup/deepmatcher,BSD-3-Clause,2017-12-01 19:01:11.000000,2020-09-27 17:25:56.000000,2020-04-20 02:34:24.000000,1326,47.0,19.0,3576,169.0,Python package for performing Entity and Text Matching using Deep Learning.,7.0,21,True,2019-12-30 19:49:33.000000,0.1.1,9.0,deepmatcher,,,,,12.0,12.0,https://pypi.org/project/deepmatcher,2019-12-30 19:49:33.000000,,653.0,653.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n543,TRFL,deepmind/trfl,,reinforcement-learning,https://github.com/deepmind/trfl,https://github.com/deepmind/trfl,Apache-2.0,2018-08-08 14:44:11.000000,2020-11-06 04:44:44.000000,2020-04-20 13:05:56.000000,372,6.0,16.0,3063,116.0,TensorFlow Reinforcement Learning.,12.0,21,True,2020-04-20 14:11:57.000000,1.1.0,4.0,trfl,,,,['tensorflow'],48.0,46.0,https://pypi.org/project/trfl,2020-04-20 14:11:57.000000,2.0,2171.0,2171.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n544,dpark,douban/dpark,,data-pipelines,https://github.com/douban/dpark,https://github.com/douban/dpark,BSD-3-Clause,2012-04-11 08:35:06.000000,2020-12-25 10:36:06.000000,2020-12-25 10:36:05.000000,554,,60.0,2657,1467.0,\"Python clone of Spark, a MapReduce alike framework in Python.\",35.0,21,True,2018-07-27 04:11:36.000000,0.5.0,19.0,dpark,,,,['spark'],4.0,3.0,https://pypi.org/project/dpark,2018-07-27 04:11:36.000000,1.0,194.0,194.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n545,NLP Architect,IntelLabs/nlp-architect,,nlp,https://github.com/IntelLabs/nlp-architect,https://github.com/IntelLabs/nlp-architect,Apache-2.0,2018-05-17 21:00:13.000000,2021-04-13 08:07:05.000000,2021-04-13 08:02:56.000000,399,16.0,110.0,2654,953.0,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,36.0,21,True,2020-11-17 12:32:37.000000,0.5.5.1,13.0,nlp-architect,,,,,7.0,7.0,https://pypi.org/project/nlp-architect,2020-04-12 11:34:38.000000,,381.0,381.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n546,finmarketpy,cuemacro/finmarketpy,,financial-data,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03.000000,2021-04-28 12:09:18.000000,2021-04-28 12:09:15.000000,431,22.0,3.0,2548,666.0,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,14.0,21,True,2021-01-25 15:04:53.000000,0.11.8,9.0,finmarketpy,,,,,3.0,3.0,https://pypi.org/project/finmarketpy,2021-01-25 15:01:25.000000,,159.0,159.0,,,,,,,,3.0,,39.0,,,,,,,,,,,,,,,,,,,,\n547,Hummingbird,microsoft/hummingbird,,model-serialisation,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000000,2021-04-29 08:38:16.000000,2021-04-29 02:21:28.000000,174,53.0,156.0,2396,,Hummingbird compiles trained ML models into tensor computation for faster inference.,20.0,21,True,2021-04-24 17:19:04.000000,0.3.1,12.0,hummingbird-ml,,,,,15.0,15.0,https://pypi.org/project/hummingbird-ml,2021-04-13 00:20:31.000000,,3118.0,3127.0,,,,,,,,3.0,,99.0,,,,,,,,,,,,,,,,,,,,\n548,Luminoth,tryolabs/luminoth,,image,https://github.com/tryolabs/luminoth,https://github.com/tryolabs/luminoth,BSD-3-Clause,2017-02-16 15:07:46.000000,2020-12-24 21:01:24.000000,2020-01-07 20:53:25.000000,406,50.0,127.0,2361,838.0,Deep Learning toolkit for Computer Vision.,15.0,21,False,2018-11-09 21:35:17.000000,0.2.3,10.0,luminoth,,,,['tensorflow'],31.0,29.0,https://pypi.org/project/luminoth,2018-11-09 21:35:17.000000,2.0,972.0,1243.0,,,,,,,,3.0,,11401.0,,,,,,,,,,,,,,,,,,,,\n549,DeepVariant,google/deepvariant,,medical-data,https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000000,2021-04-18 11:40:55.510000,2021-03-31 18:23:13.000000,543,4.0,401.0,2255,1503.0,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,19.0,21,True,2020-12-07 17:56:31.000000,1.1.0,15.0,,bioconda/deepvariant,,,['tensorflow'],,,,,,,826.0,https://anaconda.org/bioconda/deepvariant,2021-04-18 11:40:55.510000,29041.0,,,,,3.0,,3292.0,,,,,,,,,,,,,,,,,,,,\n550,Texar,asyml/texar,,nlp,https://github.com/asyml/texar,https://github.com/asyml/texar,Apache-2.0,2017-07-22 19:02:05.000000,2020-09-17 07:03:55.000000,2020-07-29 00:38:30.000000,352,33.0,126.0,2135,1719.0,\"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the..\",41.0,21,True,2019-11-19 04:11:18.000000,0.2.4,6.0,texar,,,,['tensorflow'],15.0,13.0,https://pypi.org/project/texar,2019-11-19 04:11:18.000000,2.0,140.0,140.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n551,knockknock,huggingface/knockknock,,ml-experiments,https://github.com/huggingface/knockknock,https://github.com/huggingface/knockknock,MIT,2019-03-20 13:08:55.000000,2021-01-09 06:11:00.000000,2020-03-16 04:26:47.000000,163,12.0,21.0,2080,75.0,Knock Knock: Get notified when your training ends with only two additional lines of code.,18.0,21,False,2020-03-04 04:15:47.000000,0.1.8,10.0,knockknock,conda-forge/knockknock,,,,161.0,158.0,https://pypi.org/project/knockknock,2020-03-16 14:30:23.000000,3.0,3865.0,4217.0,https://anaconda.org/conda-forge/knockknock,2020-03-17 01:52:16.317000,6344.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n552,PARL,PaddlePaddle/PARL,,reinforcement-learning,https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22.000000,2021-04-29 11:13:46.000000,2021-04-29 06:18:18.000000,467,47.0,170.0,1964,1.0,A high-performance distributed training framework for Reinforcement Learning.,23.0,21,True,2021-03-10 06:55:54.000000,1.4.3,18.0,parl,,,,['paddle'],72.0,72.0,https://pypi.org/project/parl,2021-03-10 06:55:54.000000,,825.0,825.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n553,cleanlab,cgnorthcutt/cleanlab,,others,https://github.com/cgnorthcutt/cleanlab,https://github.com/cgnorthcutt/cleanlab,GPL-3.0,2018-05-11 01:55:21.000000,2021-04-20 01:45:34.000000,2021-04-20 01:45:30.000000,183,19.0,41.0,1859,784.0,The standard package for machine learning with noisy labels and finding mislabeled data. Works with most datasets and..,6.0,21,False,2021-04-18 19:52:49.000000,1.0,15.0,cleanlab,,,,,11.0,11.0,https://pypi.org/project/cleanlab,2020-02-17 07:33:06.000000,,4470.0,4470.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n554,Sweetviz,fbdesignpro/sweetviz,,data-viz,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47.000000,2021-04-01 18:44:48.000000,2021-04-01 18:44:46.000000,162,20.0,55.0,1544,95.0,\"Visualize and compare datasets, target values and associations, with one line of code.\",6.0,21,True,2021-04-01 18:29:24.000000,2.1.0,28.0,sweetviz,,,,,0.0,,https://pypi.org/project/sweetviz,2021-04-01 18:29:24.000000,0.0,27364.0,27364.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n555,auto_ml,ClimbsRocks/auto_ml,,hyperopt,https://github.com/ClimbsRocks/auto_ml,https://github.com/ClimbsRocks/auto_ml,MIT,2016-08-07 21:35:08.000000,2021-02-10 07:52:35.000000,2018-03-25 19:46:25.000000,296,185.0,216.0,1535,1149.0,[UNMAINTAINED] Automated machine learning for analytics & production.,13.0,21,False,2018-02-22 01:13:03.000000,2.9.10,78.0,auto_ml,,,,,2.0,,https://pypi.org/project/auto_ml,2018-02-22 01:13:03.000000,2.0,4312.0,4312.0,,,,,,,,3.0,,33.0,,,,,,,,,,,,,,,,,,,,\n556,AmpliGraph,Accenture/AmpliGraph,,graph,https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05.000000,2020-08-25 17:19:24.000000,2020-08-25 17:00:58.000000,164,23.0,160.0,1484,895.0,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,14.0,21,True,2020-08-25 17:06:46.000000,1.3.2,11.0,ampligraph,,,,['tensorflow'],13.0,13.0,https://pypi.org/project/ampligraph,2020-08-25 16:59:58.000000,,1428.0,1428.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n557,reformer-pytorch,lucidrains/reformer-pytorch,,pytorch-utils,https://github.com/lucidrains/reformer-pytorch,https://github.com/lucidrains/reformer-pytorch,MIT,2020-01-09 20:42:37.000000,2021-04-21 19:08:42.000000,2021-04-21 19:07:51.000000,191,8.0,98.0,1462,241.0,\"Reformer, the efficient Transformer, in Pytorch.\",10.0,21,True,2021-04-21 19:08:05.000000,1.4.0,135.0,reformer-pytorch,,,,['pytorch'],,,https://pypi.org/project/reformer-pytorch,2021-04-21 19:08:42.000000,,2255.0,2255.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n558,TensorFlow Privacy,tensorflow/privacy,,privacy-ml,https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000000,2021-04-20 19:35:26.000000,2021-04-20 19:35:23.000000,291,55.0,78.0,1391,455.0,Library for training machine learning models with privacy for training data.,36.0,21,True,2020-09-03 01:13:47.000000,.0.5.1,10.0,tensorflow-privacy,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow-privacy,2021-04-13 19:14:58.000000,2.0,11852.0,11854.0,,,,,,,,2.0,,42.0,,,,,,,,,,,,,,,,,,,,\n559,Classy Vision,facebookresearch/ClassyVision,,image,https://github.com/facebookresearch/ClassyVision,https://github.com/facebookresearch/ClassyVision,MIT,2019-09-13 22:54:44.000000,2021-04-29 07:19:26.000000,2021-04-29 07:19:22.000000,215,53.0,52.0,1249,364.0,An end-to-end PyTorch framework for image and video classification.,61.0,21,True,2020-11-20 21:02:29.000000,0.5.0,15.0,classy_vision,conda-forge/classy_vision,,,['pytorch'],0.0,,https://pypi.org/project/classy_vision,2020-11-20 21:02:29.000000,0.0,420.0,896.0,https://anaconda.org/conda-forge/classy_vision,2020-12-11 20:08:25.437000,7146.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n560,MLBox,AxeldeRomblay/MLBox,,hyperopt,https://github.com/AxeldeRomblay/MLBox,https://github.com/AxeldeRomblay/MLBox,BSD-1-Clause,2017-06-01 16:59:24.000000,2020-11-24 17:57:08.000000,2020-08-25 09:26:27.000000,251,13.0,73.0,1215,1121.0,MLBox is a powerful Automated Machine Learning python library.,9.0,21,False,2020-08-25 09:32:37.000000,0.8.5,21.0,mlbox,,,,,23.0,23.0,https://pypi.org/project/mlbox,2020-08-25 09:32:37.000000,,2984.0,2984.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n561,datatable,h2oai/datatable,,data-containers,https://github.com/h2oai/datatable,https://github.com/h2oai/datatable,MPL-2.0,2017-03-03 02:32:59.000000,2021-04-29 01:56:41.000000,2021-04-29 00:37:28.000000,103,126.0,1136.0,1200,,A Python package for manipulating 2-dimensional tabular data structures.,28.0,21,True,2020-12-10 09:10:50.000000,0.11.1,15.0,datatable,,,,,6.0,,https://pypi.org/project/datatable,2020-12-10 08:04:03.000000,6.0,27676.0,27698.0,,,,,,,,3.0,,982.0,,,,,,,,,,,,,,,,,,,,\n562,tensorrec,jfkirk/tensorrec,,recommender-systems,https://github.com/jfkirk/tensorrec,https://github.com/jfkirk/tensorrec,Apache-2.0,2017-02-28 18:51:11.000000,2021-03-18 20:46:02.000000,2020-02-04 21:10:25.000000,212,33.0,90.0,1142,334.0,A TensorFlow recommendation algorithm and framework in Python.,8.0,21,False,2019-04-02 00:53:47.000000,0.26.2,30.0,tensorrec,,,,['tensorflow'],28.0,25.0,https://pypi.org/project/tensorrec,2019-04-02 00:53:47.000000,3.0,988.0,988.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n563,Sockeye,awslabs/sockeye,,nlp,https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30.000000,2021-04-07 12:00:31.000000,2021-04-07 12:00:29.000000,295,20.0,228.0,1001,747.0,Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet.,52.0,21,True,2021-04-07 11:51:17.000000,2.3.14,63.0,sockeye,,,,['mxnet'],2.0,,https://pypi.org/project/sockeye,2021-04-07 11:51:17.000000,2.0,1206.0,1206.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n564,TabNet,dreamquark-ai/tabnet,,pytorch-utils,https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000000,2021-04-28 19:22:36.000000,2021-03-01 11:50:35.000000,191,35.0,109.0,976,168.0,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,18.0,21,True,2021-02-02 08:05:11.000000,3.1.1,17.0,pytorch-tabnet,,,,['pytorch'],0.0,,https://pypi.org/project/pytorch-tabnet,2021-02-02 08:05:11.000000,0.0,11206.0,11206.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n565,fastFM,ibayer/fastFM,,recommender-systems,https://github.com/ibayer/fastFM,https://github.com/ibayer/fastFM,BSD-3-Clause,2014-10-27 12:25:51.000000,2021-03-24 12:22:31.000000,2021-03-24 12:22:31.000000,187,44.0,59.0,919,297.0,fastFM: A Library for Factorization Machines.,20.0,21,True,2017-11-23 06:59:56.000000,0.2.11,10.0,fastfm,,,,,88.0,80.0,https://pypi.org/project/fastfm,2017-11-23 06:59:56.000000,8.0,981.0,986.0,,,,,,,,2.0,,387.0,,,,,,,,,,,,,,,,,,,,\n566,luminol,linkedin/luminol,,time-series-data,https://github.com/linkedin/luminol,https://github.com/linkedin/luminol,Apache-2.0,2015-11-18 23:16:33.000000,2020-12-27 09:54:35.000000,2018-01-09 07:46:55.000000,184,31.0,12.0,911,69.0,Anomaly Detection and Correlation library.,8.0,21,False,2016-01-20 01:01:44.000000,0.3.1,5.0,luminol,,,,,66.0,38.0,https://pypi.org/project/luminol,2017-12-11 06:04:15.000000,28.0,43031.0,43031.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n567,attention-ocr,emedvedev/attention-ocr,,ocr,https://github.com/emedvedev/attention-ocr,https://github.com/emedvedev/attention-ocr,MIT,2017-07-21 18:35:19.000000,2021-02-23 04:33:25.000000,2020-10-31 19:40:19.000000,228,19.0,126.0,856,196.0,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,27.0,21,True,2020-10-12 06:56:40.000000,0.7.6,21.0,aocr,,,,['tensorflow'],16.0,16.0,https://pypi.org/project/aocr,2019-04-19 05:28:27.000000,,381.0,381.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n568,TFEncrypted,tf-encrypted/tf-encrypted,,privacy-ml,https://github.com/tf-encrypted/tf-encrypted,https://github.com/tf-encrypted/tf-encrypted,Apache-2.0,2018-03-21 18:22:13.000000,2021-04-21 08:39:31.000000,2020-08-19 16:56:56.000000,142,167.0,231.0,852,595.0,A Framework for Encrypted Machine Learning in TensorFlow.,28.0,21,True,2019-09-27 20:00:01.000000,0.5.9,35.0,tf-encrypted,,,,['tensorflow'],65.0,49.0,https://pypi.org/project/tf-encrypted,2019-10-21 18:05:53.000000,16.0,1044.0,1044.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n569,keras-ocr,faustomorales/keras-ocr,,ocr,https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50.000000,2021-03-31 15:57:11.000000,2021-03-31 14:26:39.000000,200,37.0,97.0,829,167.0,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,10.0,21,True,2020-11-26 17:19:39.000000,0.8.6,26.0,keras-ocr,,,,['tensorflow'],2.0,,https://pypi.org/project/keras-ocr,2020-11-26 17:19:39.000000,2.0,4082.0,9751.0,,,,,,,,3.0,,39686.0,,,,,,,,,,,,,,,,,,,,\n570,TF Recommenders,tensorflow/recommenders,,recommender-systems,https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01.000000,2021-04-27 19:36:24.000000,2021-04-27 19:36:09.000000,94,57.0,65.0,804,,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,21.0,21,True,2021-01-21 00:51:17.000000,0.4.0,8.0,tensorflow-recommenders,,,,['tensorflow'],19.0,19.0,https://pypi.org/project/tensorflow-recommenders,2021-01-21 00:51:17.000000,,24609.0,24609.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n571,iNNvestigate,albermax/innvestigate,,interpretability,https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20.000000,2020-12-30 15:22:24.000000,2020-10-16 15:26:56.000000,180,73.0,135.0,800,882.0,A toolbox to iNNvestigate neural networks' predictions!.,18.0,21,True,2020-11-14 11:35:59.000000,1.0.9,2.0,innvestigate,,,,['tensorflow'],56.0,55.0,https://pypi.org/project/innvestigate,2020-11-14 11:35:59.000000,1.0,475.0,475.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n572,nude.py,hhatto/nude.py,,image,https://github.com/hhatto/nude.py,https://github.com/hhatto/nude.py,MIT,2013-06-09 06:55:55.000000,2020-11-23 13:49:32.000000,2020-11-23 13:49:02.000000,130,6.0,2.0,795,79.0,Nudity detection with Python.,12.0,21,True,2020-11-23 13:49:17.000000,0.5.1,10.0,nudepy,,,,,205.0,187.0,https://pypi.org/project/nudepy,2020-11-23 13:49:17.000000,18.0,1657.0,1657.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n573,lightly,lightly-ai/lightly,,image,https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000000,2021-04-29 15:10:10.000000,2021-04-29 13:33:40.000000,45,38.0,114.0,775,437.0,A python library for self-supervised learning on images.,9.0,21,True,2021-04-29 14:42:55.000000,1.1.7,19.0,lightly,,,,['pytorch'],11.0,11.0,https://pypi.org/project/lightly,2021-04-29 14:46:32.000000,0.0,3361.0,3361.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n574,rows,turicas/rows,,data-loading,https://github.com/turicas/rows,https://github.com/turicas/rows,LGPL-3.0,2014-05-07 05:43:11.000000,2021-03-11 16:51:43.000000,2021-03-11 16:51:28.000000,136,160.0,149.0,746,738.0,\"A common, beautiful interface to tabular data, no matter the format.\",30.0,21,False,2019-02-14 21:20:15.000000,0.4.1,9.0,rows,,,,,172.0,120.0,https://pypi.org/project/rows,2019-02-14 21:12:03.000000,52.0,1831.0,1831.0,,,,,,,,3.0,,37.0,,,,,,,,,,,,,,,,,,,,\n575,Madmom,CPJKU/madmom,,audio,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06.000000,2020-04-14 03:42:18.000000,2019-12-19 14:46:37.000000,125,54.0,180.0,736,1722.0,Python audio and music signal processing library.,19.0,21,False,2018-11-14 14:57:41.000000,0.16.1,11.0,madmom,,,,,157.0,123.0,https://pypi.org/project/madmom,2018-11-14 14:56:22.000000,34.0,2500.0,2500.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n576,mlens,flennerhag/mlens,,others,https://github.com/flennerhag/mlens,https://github.com/flennerhag/mlens,MIT,2017-01-10 20:53:47.000000,2020-02-25 14:32:48.000000,2020-02-25 14:31:53.000000,90,8.0,73.0,685,879.0,ML-Ensemble high performance ensemble learning.,7.0,21,False,2018-10-30 22:34:35.000000,0.2.3,14.0,mlens,,,,,128.0,125.0,https://pypi.org/project/mlens,2018-10-30 22:30:43.000000,3.0,29615.0,29615.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n577,alibi-detect,SeldonIO/alibi-detect,,others,https://github.com/SeldonIO/alibi-detect,https://github.com/SeldonIO/alibi-detect,Apache-2.0,2019-10-07 13:29:13.000000,2021-04-29 14:22:56.000000,2021-04-26 10:46:38.000000,67,57.0,64.0,662,341.0,\"Algorithms for outlier and adversarial instance detection, concept drift and metrics.\",8.0,21,True,2021-04-26 10:46:13.000000,0.6.1,13.0,alibi-detect,,,,,23.0,22.0,https://pypi.org/project/alibi-detect,2021-04-26 10:43:17.000000,1.0,6721.0,6721.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n578,Prince,MaxHalford/prince,,others,https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000000,2021-04-15 19:05:12.000000,2021-01-11 21:14:58.000000,120,29.0,64.0,629,179.0,\"Python factor analysis library (PCA, CA, MCA, MFA, FAMD).\",9.0,21,True,2020-10-06 11:26:47.000000,0.7.1,41.0,prince,,,,['sklearn'],120.0,114.0,https://pypi.org/project/prince,2020-10-06 11:26:47.000000,6.0,8018.0,8018.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n579,pdpipe,pdpipe/pdpipe,,data-pipelines,https://github.com/pdpipe/pdpipe,https://github.com/pdpipe/pdpipe,MIT,2017-01-24 20:37:22.000000,2021-02-23 19:36:13.000000,2021-02-23 18:30:54.000000,27,6.0,15.0,603,342.0,Easy pipelines for pandas DataFrames.,8.0,21,True,2021-02-23 19:40:09.000000,0.0.51,49.0,pdpipe,,,,['pandas'],29.0,29.0,https://pypi.org/project/pdpipe,2020-11-09 09:32:37.000000,0.0,2346.0,2346.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n580,Torchbearer,pytorchbearer/torchbearer,,ml-frameworks,https://github.com/pytorchbearer/torchbearer,https://github.com/pytorchbearer/torchbearer,MIT,2018-03-12 16:30:42.000000,2021-03-26 19:56:57.000000,2021-03-26 19:56:57.000000,64,8.0,237.0,596,430.0,torchbearer: A model fitting library for PyTorch.,13.0,21,True,2020-01-31 14:07:22.000000,0.5.3,24.0,torchbearer,,,,['pytorch'],47.0,41.0,https://pypi.org/project/torchbearer,2020-01-31 14:05:56.000000,6.0,3610.0,3610.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n581,Sentinelsat,sentinelsat/sentinelsat,,geospatial-data,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26.000000,2021-04-29 04:38:05.000000,2021-04-17 07:07:41.000000,181,42.0,217.0,596,,Search and download Copernicus Sentinel satellite images.,36.0,21,False,2020-06-12 07:15:51.000000,0.14,36.0,sentinelsat,,,,,232.0,188.0,https://pypi.org/project/sentinelsat,2020-06-12 07:08:37.000000,44.0,19499.0,19502.0,,,,,,,,3.0,,199.0,,,,,,,,,,,,,,,,,,,,\n582,Labml,lab-ml/labml,,ml-experiments,https://github.com/lab-ml/labml,https://github.com/lab-ml/labml,MIT,2018-11-16 09:34:48.000000,2021-04-29 07:41:04.000000,2021-04-28 11:50:07.000000,42,4.0,6.0,544,990.0,Monitor deep learning model training and hardware usage from your mobile phone.,6.0,21,True,2021-04-17 09:40:28.000000,0.4.117,94.0,labml,,,,,24.0,24.0,https://pypi.org/project/labml,2021-04-17 09:40:28.000000,0.0,1772.0,1772.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n583,Caer,jasmcaus/caer,,image,https://github.com/jasmcaus/caer,https://github.com/jasmcaus/caer,MIT,2020-08-06 18:36:14.000000,2021-04-29 06:32:30.000000,2021-04-28 08:38:30.000000,62,5.0,9.0,481,4904.0,\"A lightweight Computer Vision library. Scale your models, not boilerplate.\",6.0,21,True,2021-01-28 14:06:10.000000,1.9.8,109.0,caer,,,https://caer.rtfd.io,,0.0,,https://pypi.org/project/caer,2021-01-28 14:06:10.000000,0.0,22694.0,22695.0,,,,,,,,3.0,,14.0,,,,,,,,,,,,,,,,,,,,\n584,explainerdashboard,oegedijk/explainerdashboard,,interpretability,https://github.com/oegedijk/explainerdashboard,https://github.com/oegedijk/explainerdashboard,MIT,2019-10-30 08:26:16.000000,2021-04-28 15:14:50.000000,2021-04-13 18:13:52.000000,56,9.0,83.0,473,608.0,Quickly build Explainable AI dashboards that show the inner workings of so-called blackbox machine learning models.,8.0,21,True,2021-04-13 18:15:41.000000,0.3.4,72.0,explainerdashboard,,,,,18.0,18.0,https://pypi.org/project/explainerdashboard,2021-03-22 19:12:21.000000,,5768.0,5768.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n585,Neuraxle,Neuraxio/Neuraxle,,hyperopt,https://github.com/Neuraxio/Neuraxle,https://github.com/Neuraxio/Neuraxle,Apache-2.0,2019-03-26 21:01:54.000000,2021-04-28 18:52:48.000000,2021-04-28 18:52:48.000000,42,132.0,145.0,401,1412.0,A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right..,7.0,21,True,2021-02-25 16:05:06.000000,0.5.7,20.0,neuraxle,,,,,18.0,18.0,https://pypi.org/project/neuraxle,2021-02-25 16:00:44.000000,0.0,425.0,425.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n586,pydlm,wwrechard/pydlm,,time-series-data,https://github.com/wwrechard/pydlm,https://github.com/wwrechard/pydlm,BSD-3-Clause,2016-06-29 07:58:53.000000,2021-02-24 14:21:28.000000,2019-10-22 07:18:40.000000,86,35.0,8.0,384,362.0,A python library for Bayesian time series modeling.,6.0,21,False,2016-11-06 01:43:35.000000,0.1.1,13.0,pydlm,,,,,20.0,18.0,https://pypi.org/project/pydlm,2018-12-19 10:27:54.000000,2.0,25971.0,25971.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n587,aequitas,dssg/aequitas,,interpretability,https://github.com/dssg/aequitas,https://github.com/dssg/aequitas,MIT,2018-02-13 19:40:30.000000,2021-03-19 10:35:14.000000,2021-02-23 13:51:06.000000,71,35.0,21.0,377,856.0,Bias and Fairness Audit Toolkit.,16.0,21,True,2020-12-16 11:48:14.000000,0.42.0,16.0,aequitas,,,,,77.0,71.0,https://pypi.org/project/aequitas,2020-12-16 11:48:14.000000,6.0,1065.0,1065.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n588,skope-rules,scikit-learn-contrib/skope-rules,,sklearn-utils,https://github.com/scikit-learn-contrib/skope-rules,https://github.com/scikit-learn-contrib/skope-rules,BSD-1-Clause,2018-02-18 13:42:47.000000,2021-04-28 18:36:36.000000,2020-10-23 14:31:57.000000,63,23.0,5.0,372,247.0,machine learning with logical rules in Python.,18.0,21,False,2020-12-11 09:37:02.000000,1.0.1,4.0,skope-rules,,,,['sklearn'],37.0,31.0,https://pypi.org/project/skope-rules,2020-01-25 12:01:37.000000,6.0,19299.0,19299.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n589,optunity,claesenm/optunity,,hyperopt,https://github.com/claesenm/optunity,https://github.com/claesenm/optunity,BSD-3-Clause,2014-05-28 17:29:11.000000,2020-05-11 14:32:39.000000,2020-05-11 14:32:38.000000,73,46.0,48.0,369,782.0,optimization routines for hyperparameter tuning.,9.0,21,True,2015-09-30 05:02:00.000000,1.1.1,6.0,optunity,,,,,84.0,60.0,https://pypi.org/project/optunity,2015-09-30 05:02:00.000000,24.0,15737.0,15737.0,,,,,,,,3.0,,64.0,,,,,,,,,,,,,,,,,,,,\n590,Pandas Summary,mouradmourafiq/pandas-summary,,data-containers,https://github.com/mouradmourafiq/pandas-summary,https://github.com/mouradmourafiq/pandas-summary,MIT,2016-03-25 21:59:32.000000,2019-08-24 21:10:25.000000,2019-08-24 21:10:24.000000,35,8.0,5.0,363,24.0,An extension to pandas dataframes describe function.,6.0,21,False,2016-08-30 07:54:59.000000,0.0.41,8.0,pandas-summary,,,,['pandas'],687.0,597.0,https://pypi.org/project/pandas-summary,2016-08-30 07:54:59.000000,90.0,31824.0,31824.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n591,Submit it,facebookincubator/submitit,,distributed-ml,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09.000000,2021-04-29 14:23:28.000000,2021-04-01 13:33:42.000000,22,13.0,23.0,348,59.0,Python 3.6+ toolbox for submitting jobs to Slurm.,11.0,21,True,2021-04-08 08:01:58.000000,1.3.2,13.0,submitit,conda-forge/submitit,,,,123.0,123.0,https://pypi.org/project/submitit,2021-04-08 08:01:58.000000,0.0,5021.0,5322.0,https://anaconda.org/conda-forge/submitit,2021-02-10 12:48:57.745000,2415.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n592,DESlib,scikit-learn-contrib/DESlib,,sklearn-utils,https://github.com/scikit-learn-contrib/DESlib,https://github.com/scikit-learn-contrib/DESlib,BSD-3-Clause,2017-12-08 22:49:49.000000,2021-04-09 04:41:52.000000,2021-04-09 04:41:45.000000,73,14.0,127.0,329,272.0,A Python library for dynamic classifier and ensemble selection.,13.0,21,True,2021-02-08 06:29:25.000000,0.3.5,4.0,deslib,,,,['sklearn'],17.0,17.0,https://pypi.org/project/deslib,2021-02-08 06:29:25.000000,0.0,1300.0,1300.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n593,ploomber,ploomber/ploomber,,data-pipelines,https://github.com/ploomber/ploomber,https://github.com/ploomber/ploomber,Apache-2.0,2020-01-20 20:13:06.000000,2021-04-28 18:54:51.000000,2021-04-24 19:24:51.000000,4,39.0,249.0,273,1731.0,\"Lean Data Science workflows: develop and test locally. Deploy to Kubernetes, Airflow, or any web framework.\",4.0,21,True,2021-03-07 17:10:50.000000,0.9.5,40.0,ploomber,,,,,13.0,13.0,https://pypi.org/project/ploomber,2021-04-18 00:46:19.000000,0.0,2933.0,2933.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n594,SUOD,yzhao062/SUOD,,others,https://github.com/yzhao062/SUOD,https://github.com/yzhao062/SUOD,BSD-2-Clause,2019-11-20 00:23:54.000000,2021-01-19 14:42:08.000000,2021-01-19 14:42:01.000000,30,3.0,2.0,258,134.0,(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection).,1.0,21,True,2021-01-15 02:12:04.000000,0.0.6,7.0,suod,,,,,307.0,307.0,https://pypi.org/project/suod,2021-01-15 02:12:04.000000,,19161.0,19161.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n595,Auto ViML,AutoViML/Auto_ViML,,hyperopt,https://github.com/AutoViML/Auto_ViML,https://github.com/AutoViML/Auto_ViML,Apache-2.0,2019-06-10 13:09:15.000000,2021-04-15 00:54:35.000000,2021-04-14 01:35:22.000000,53,4.0,14.0,243,288.0,Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome...,6.0,21,True,2021-03-21 12:25:19.000000,0.1.680,130.0,autoviml,,,,,13.0,13.0,https://pypi.org/project/autoviml,2021-04-15 00:54:35.000000,0.0,3168.0,3168.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n596,quinn,MrPowers/quinn,,ml-experiments,https://github.com/MrPowers/quinn,https://github.com/MrPowers/quinn,Apache-2.0,2017-09-15 13:02:42.000000,2021-03-27 14:31:44.000000,2021-02-09 04:48:07.000000,28,17.0,9.0,242,110.0,pyspark methods to enhance developer productivity.,6.0,21,True,2021-02-06 15:21:04.000000,0.9.0,12.0,quinn,,,,['spark'],6.0,,https://pypi.org/project/quinn,2021-02-06 15:21:04.000000,6.0,207306.0,207306.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n597,datatest,shawnbrown/datatest,,data-loading,https://github.com/shawnbrown/datatest,https://github.com/shawnbrown/datatest,Apache-2.0,2016-05-12 13:16:27.000000,2021-04-26 17:46:21.000000,2021-04-26 17:45:53.000000,12,9.0,42.0,237,2171.0,Tools for test driven data-wrangling and data validation.,6.0,21,True,2021-01-04 03:43:58.000000,0.11.1,17.0,datatest,,,,,33.0,31.0,https://pypi.org/project/datatest,2021-01-04 03:39:40.000000,2.0,6420.0,6420.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n598,StaticFrame,InvestmentSystems/static-frame,,data-containers,https://github.com/InvestmentSystems/static-frame,https://github.com/InvestmentSystems/static-frame,MIT,2018-01-03 15:07:52.000000,2021-04-26 14:54:26.068000,2021-04-26 04:14:42.000000,22,26.0,271.0,222,2486.0,Immutable and grow-only Pandas-like DataFrames with a more explicit and consistent interface.,16.0,21,True,2021-04-26 05:12:12.000000,0.8.8,107.0,static-frame,conda-forge/static-frame,,,,6.0,6.0,https://pypi.org/project/static-frame,2021-04-26 05:10:52.000000,0.0,1585.0,4705.0,https://anaconda.org/conda-forge/static-frame,2021-04-26 14:54:26.068000,81137.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n599,fletcher,xhochy/fletcher,,data-containers,https://github.com/xhochy/fletcher,https://github.com/xhochy/fletcher,MIT,2018-03-04 16:44:22.000000,2021-02-18 14:46:18.000000,2021-02-18 14:46:18.000000,33,34.0,40.0,213,520.0,Pandas ExtensionDType/Array backed by Apache Arrow.,24.0,21,True,2021-01-17 20:11:01.000000,0.7.2,16.0,fletcher,conda-forge/fletcher,,,['pandas'],3.0,3.0,https://pypi.org/project/fletcher,2021-01-17 20:11:01.000000,0.0,554.0,1249.0,https://anaconda.org/conda-forge/fletcher,2021-01-17 21:23:17.140000,22945.0,,,,,3.0,,12.0,,,,,,,,,,,,,,,,,,,,\n600,scikit-posthocs,maximtrp/scikit-posthocs,,probabilistics,https://github.com/maximtrp/scikit-posthocs,https://github.com/maximtrp/scikit-posthocs,MIT,2017-06-22 19:41:37.000000,2021-03-17 06:05:27.000000,2021-03-15 16:05:26.000000,21,4.0,36.0,196,453.0,Multiple Pairwise Comparisons (Post Hoc) Tests in Python.,8.0,21,True,2021-03-17 06:05:28.000000,0.6.7,21.0,scikit-posthocs,,,,['sklearn'],6.0,,https://pypi.org/project/scikit-posthocs,2021-03-15 16:05:51.000000,6.0,15633.0,15633.0,,,,,,,,3.0,,19.0,,,,,,,,,,,,,,,,,,,,\n601,Qlib,microsoft/qlib,,financial-data,https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000000,2021-04-29 14:41:40.000000,2021-04-28 02:07:08.000000,777,113.0,97.0,4866,,\"Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research,..\",39.0,20,True,2021-02-02 09:29:47.000000,0.6.2,16.0,pyqlib,,,,['pytorch'],2.0,2.0,https://pypi.org/project/pyqlib,2021-02-02 09:29:47.000000,,4381.0,4413.0,,,,,,,,3.0,,229.0,,,,,,,,,,,,,,,,,,,,\n602,MindsDB,mindsdb/mindsdb,,ml-frameworks,https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,GPL-3.0,2018-08-02 17:56:45.000000,2021-04-29 13:08:04.000000,2021-04-23 15:10:27.000000,438,51.0,523.0,3699,,Predictive AI layer for existing databases.,56.0,20,False,2021-04-23 15:25:20.000000,2.27.0,44.0,mindsdb,,,,['pytorch'],6.0,,https://pypi.org/project/mindsdb,2019-03-19 05:07:23.000000,6.0,3644.0,3644.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n603,DALI,NVIDIA/DALI,,gpu-utilities,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000000,2021-04-29 14:45:55.000000,2021-04-27 12:22:37.000000,385,171.0,789.0,3254,1828.0,A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to..,57.0,20,True,2021-04-15 13:43:06.000000,1.1.0,39.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n604,FATE,FederatedAI/FATE,,privacy-ml,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000000,2021-04-29 09:53:48.000000,2021-04-16 05:08:54.000000,877,289.0,555.0,2998,7582.0,An Industrial Grade Federated Learning Framework.,56.0,20,True,2021-03-31 14:56:10.000000,1.6.0,26.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n605,PaddleDetection,PaddlePaddle/PaddleDetection,,image,https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000000,2021-04-29 13:56:22.000000,2021-04-29 13:40:26.000000,767,297.0,1185.0,2806,746.0,Object detection and instance segmentation toolkit based on PaddlePaddle.,54.0,20,True,2021-04-19 15:10:54.000000,2.0.0,2.0,,,,,['paddle'],5.0,5.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n606,NeMo,NVIDIA/NeMo,,nlp,https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000000,2021-04-29 06:38:07.000000,2021-04-28 23:27:28.000000,453,196.0,436.0,2641,,NeMo: a toolkit for conversational AI.,90.0,20,True,2020-07-10 00:01:18.000000,0.11.0,36.0,nemo-toolkit,,,,['pytorch'],4.0,,https://pypi.org/project/nemo-toolkit,2020-12-11 21:33:53.000000,4.0,6689.0,6717.0,,,,,,,,3.0,,549.0,,,,,,,,,,,,,,,,,,,,\n607,tf-quant-finance,google/tf-quant-finance,,financial-data,https://github.com/google/tf-quant-finance,https://github.com/google/tf-quant-finance,Apache-2.0,2019-07-24 16:09:50.000000,2021-04-29 14:06:01.000000,2021-04-29 14:05:55.000000,332,16.0,11.0,2590,691.0,High-performance TensorFlow library for quantitative finance.,30.0,20,True,,,22.0,tf-quant-finance,,,,['tensorflow'],4.0,4.0,https://pypi.org/project/tf-quant-finance,2021-04-13 13:30:21.000000,0.0,361.0,361.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n608,image-match,EdjoLabs/image-match,,image,https://github.com/EdjoLabs/image-match,https://github.com/EdjoLabs/image-match,Apache-2.0,2016-03-08 18:16:45.000000,2021-01-04 18:36:01.000000,2021-01-04 18:35:59.000000,371,54.0,48.0,2555,404.0,Quickly search over billions of images.,17.0,20,True,2017-02-13 14:54:48.000000,1.1.2,10.0,image_match,,,,,6.0,,https://pypi.org/project/image_match,2017-02-13 14:54:48.000000,6.0,1196.0,1196.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n609,DeepWalk,phanein/deepwalk,,graph,https://github.com/phanein/deepwalk,https://github.com/phanein/deepwalk,GPL-3.0,2014-08-23 03:38:20.000000,2020-04-02 01:05:36.000000,2020-04-02 01:05:35.000000,757,29.0,80.0,2229,46.0,DeepWalk - Deep Learning for Graphs.,10.0,20,False,2018-04-29 21:05:18.000000,1.0.3,4.0,deepwalk,,,,,43.0,36.0,https://pypi.org/project/deepwalk,2018-04-29 21:05:18.000000,7.0,2502.0,2502.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n610,Texthero,jbesomi/texthero,,nlp,https://github.com/jbesomi/texthero,https://github.com/jbesomi/texthero,MIT,2020-04-06 15:16:05.000000,2021-04-08 07:07:32.000000,2021-04-07 16:52:32.000000,190,73.0,51.0,2176,268.0,\"Text preprocessing, representation and visualization from zero to hero.\",18.0,20,True,2020-07-06 20:32:28.000000,1.0.9,9.0,texthero,,,,,0.0,,https://pypi.org/project/texthero,2020-07-06 20:29:25.000000,0.0,5358.0,5363.0,,,,,,,,3.0,,65.0,,,,,,,,,,,,,,,,,,,,\n611,HiPlot,facebookresearch/hiplot,,data-viz,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41.000000,2021-04-27 08:15:16.000000,2021-04-27 08:05:58.000000,93,10.0,54.0,2089,131.0,HiPlot makes understanding high dimensional data easy.,6.0,20,True,2021-03-24 11:12:36.000000,0.1.24,52.0,hiplot,conda-forge/hiplot,,,,2.0,2.0,https://pypi.org/project/hiplot,2021-04-27 08:15:16.000000,0.0,7971.0,11766.0,https://anaconda.org/conda-forge/hiplot,2021-03-24 13:41:04.005000,53130.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n612,Coach,IntelLabs/coach,,reinforcement-learning,https://github.com/IntelLabs/coach,https://github.com/IntelLabs/coach,Apache-2.0,2017-10-01 19:27:43.000000,2021-04-26 14:08:43.000000,2021-02-09 13:54:44.000000,381,80.0,183.0,1969,513.0,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,34.0,20,True,2019-10-10 14:17:10.000000,1.0.1,13.0,rl_coach,,,,,2.0,,https://pypi.org/project/rl_coach,2019-10-10 14:17:10.000000,2.0,241.0,241.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n613,MONAI,Project-MONAI/MONAI,,medical-data,https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000000,2021-04-29 11:41:25.000000,2021-04-29 09:22:59.000000,354,101.0,765.0,1940,,AI Toolkit for Healthcare Imaging.,58.0,20,True,2021-04-27 17:49:55.000000,0.5.2,21.0,monai,,,,['pytorch'],0.0,,https://pypi.org/project/monai,2021-04-27 17:49:55.000000,0.0,7275.0,7275.0,,,,,,,,3.0,-2.0,,,,,,,,,,,,,,,,,,,,,\n614,fast-bert,kaushaltrivedi/fast-bert,,nlp,https://github.com/utterworks/fast-bert,https://github.com/utterworks/fast-bert,Apache-2.0,2019-04-18 22:01:20.000000,2021-04-28 20:10:21.000000,2021-04-28 20:10:13.000000,318,140.0,91.0,1566,,Super easy library for BERT based NLP models.,34.0,20,True,2021-03-09 00:19:27.000000,1.9.7,42.0,fast-bert,,,,,2.0,,https://pypi.org/project/fast-bert,2021-04-28 13:26:50.000000,2.0,3153.0,3153.0,,,,,,,,3.0,-2.0,,,,,,,,,,,,utterworks/fast-bert,,,,,,,,,\n615,hiddenlayer,waleedka/hiddenlayer,,ml-experiments,https://github.com/waleedka/hiddenlayer,https://github.com/waleedka/hiddenlayer,MIT,2018-05-18 22:34:51.000000,2020-04-24 07:32:11.000000,2020-04-24 06:58:09.000000,203,44.0,33.0,1436,58.0,\"Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.\",6.0,20,True,2018-12-03 04:33:29.000000,0.2,3.0,hiddenlayer,,,,\"['pytorch', 'tensorflow', 'jupyter']\",76.0,68.0,https://pypi.org/project/hiddenlayer,2020-04-24 07:32:11.000000,8.0,2961.0,2961.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n616,DELTA,Delta-ML/delta,,nlp,https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57.000000,2021-04-28 15:46:20.189065,2020-12-17 06:57:15.000000,289,9.0,69.0,1408,932.0,DELTA is a deep learning based natural language and speech processing platform.,41.0,20,True,2020-07-16 09:31:45.000000,0.3.3,4.0,delta-nlp,,zh794390558/delta,,['tensorflow'],,,https://pypi.org/project/delta-nlp,2020-03-27 04:46:19.000000,,41.0,581.0,,,,https://hub.docker.com/r/zh794390558/delta,2021-04-28 15:46:20.189065,,12422.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n617,checklist,marcotcr/checklist,,interpretability,https://github.com/marcotcr/checklist,https://github.com/marcotcr/checklist,MIT,2020-03-09 17:18:49.000000,2021-04-23 19:49:42.000000,2021-03-30 06:59:43.000000,120,4.0,65.0,1339,224.0,Beyond Accuracy: Behavioral Testing of NLP models with CheckList.,10.0,20,True,2020-09-21 18:30:40.000000,0.0.10,9.0,checklist,,,,['jupyter'],9.0,7.0,https://pypi.org/project/checklist,2020-09-21 18:30:40.000000,2.0,1192.0,1192.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n618,ThunderSVM,Xtra-Computing/thundersvm,,ml-frameworks,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04.000000,2021-02-10 05:12:44.000000,2021-02-10 05:12:44.000000,170,45.0,145.0,1301,902.0,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,33.0,20,True,2020-03-13 12:36:30.000000,0.3.12,9.0,thundersvm,,,,,,,https://pypi.org/project/thundersvm,2020-03-13 12:36:30.000000,,601.0,642.0,,,,,,,,3.0,,2175.0,,,,,,,,,,,,,,,,,,,,\n619,NiftyNet,NifTK/NiftyNet,,medical-data,https://github.com/NifTK/NiftyNet,https://github.com/NifTK/NiftyNet,Apache-2.0,2017-08-30 07:55:43.000000,2020-04-21 19:54:52.000000,2020-04-21 19:54:51.000000,385,102.0,224.0,1280,2848.0,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,58.0,20,True,2019-10-10 10:59:33.000000,0.6.0,11.0,niftynet,,,,['tensorflow'],1.0,,https://pypi.org/project/niftynet,2019-10-10 10:59:33.000000,1.0,247.0,247.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n620,DLTK,DLTK/DLTK,,medical-data,https://github.com/DLTK/DLTK,https://github.com/DLTK/DLTK,Apache-2.0,2017-05-02 15:40:36.000000,2021-01-15 01:31:30.000000,2019-01-21 14:01:28.000000,387,11.0,24.0,1256,379.0,Deep Learning Toolkit for Medical Image Analysis.,9.0,20,False,2018-02-26 17:43:57.000000,0.2.1,5.0,dltk,,,,['tensorflow'],20.0,20.0,https://pypi.org/project/dltk,2018-02-26 17:43:57.000000,,172.0,172.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n621,Haiku,deepmind/dm-haiku,,ml-frameworks,https://github.com/deepmind/dm-haiku,https://github.com/deepmind/dm-haiku,Apache-2.0,2020-02-18 07:14:02.000000,2021-04-26 09:06:07.000000,2021-04-26 09:05:31.000000,75,20.0,62.0,1092,535.0,JAX-based neural network library.,41.0,20,True,2021-04-12 13:12:13.000000,0.0.4,6.0,,,,,,82.0,82.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n622,CausalNex,quantumblacklabs/causalnex,,interpretability,https://github.com/quantumblacklabs/causalnex,https://github.com/quantumblacklabs/causalnex,Apache-2.0,2019-12-12 15:26:09.000000,2021-04-13 12:00:47.000000,2021-04-13 11:01:10.000000,116,35.0,39.0,1087,106.0,A Python library that helps data scientists to infer causation rather than observing correlation.,18.0,20,True,2021-03-11 19:11:06.000000,0.9.2,14.0,causalnex,,,,\"['pytorch', 'sklearn']\",11.0,11.0,https://pypi.org/project/causalnex,2021-03-11 19:11:06.000000,,5196.0,5196.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n623,TaskTiger,closeio/tasktiger,,data-pipelines,https://github.com/closeio/tasktiger,https://github.com/closeio/tasktiger,MIT,2015-05-14 00:26:32.000000,2021-04-21 06:15:46.000000,2021-04-21 06:07:06.000000,59,36.0,32.0,1065,268.0,Python task queue using Redis.,22.0,20,True,2021-04-21 06:15:46.000000,0.15,25.0,tasktiger,,,,,38.0,20.0,https://pypi.org/project/tasktiger,2021-04-16 07:36:13.000000,18.0,891.0,891.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n624,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,,pytorch-utils,https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000000,2021-04-17 19:39:13.000000,2021-04-17 19:39:09.000000,75,2.0,16.0,987,675.0,PyTorch extensions for fast R&D prototyping and Kaggle farming.,5.0,20,True,2021-04-02 10:59:33.000000,0.4.3,21.0,pytorch_toolbelt,,,,['pytorch'],2.0,,https://pypi.org/project/pytorch_toolbelt,2021-04-02 10:59:33.000000,2.0,11970.0,11970.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n625,pytorch-forecasting,jdb78/pytorch-forecasting,,time-series-data,https://github.com/jdb78/pytorch-forecasting,https://github.com/jdb78/pytorch-forecasting,MIT,2020-07-03 13:05:24.000000,2021-04-29 10:40:54.000000,2021-04-29 10:40:53.000000,115,46.0,154.0,952,831.0,Time series forecasting with PyTorch.,16.0,20,True,2021-04-27 20:38:48.000000,0.8.5,26.0,pytorch-forecasting,,,,,,,https://pypi.org/project/pytorch-forecasting,2021-04-27 20:38:48.000000,,10744.0,10744.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n626,pyts,johannfaouzi/pyts,,time-series-data,https://github.com/johannfaouzi/pyts,https://github.com/johannfaouzi/pyts,BSD-3-Clause,2017-07-31 09:23:16.000000,2021-04-01 12:14:04.000000,2021-03-31 07:40:39.000000,100,26.0,19.0,928,,A Python package for time series classification.,9.0,20,True,2020-03-21 12:41:33.000000,0.11.0,17.0,pyts,conda-forge/pyts,,,,108.0,104.0,https://pypi.org/project/pyts,2020-03-21 12:36:40.000000,4.0,19920.0,20278.0,https://anaconda.org/conda-forge/pyts,2020-03-21 14:08:24.734000,7171.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n627,gplearn,trevorstephens/gplearn,,others,https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14.000000,2020-02-15 08:12:38.000000,2020-02-15 08:12:17.000000,158,35.0,119.0,926,146.0,\"Genetic Programming in Python, with a scikit-learn inspired API.\",10.0,20,False,2019-06-01 02:04:52.000000,0.4.1,5.0,gplearn,,,,['sklearn'],167.0,153.0,https://pypi.org/project/gplearn,2019-06-01 02:04:52.000000,14.0,1789.0,1789.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n628,RecBole,RUCAIBox/RecBole,,recommender-systems,https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000000,2021-04-26 03:02:51.000000,2021-04-26 03:02:51.000000,144,28.0,86.0,916,2981.0,\"A unified, comprehensive and efficient recommendation library.\",38.0,20,True,2021-04-06 09:53:37.000000,0.2.1,5.0,recbole,aibox/recbole,,,['pytorch'],,,https://pypi.org/project/recbole,2021-03-22 14:22:38.000000,,679.0,749.0,https://anaconda.org/aibox/recbole,2021-03-22 14:53:52.593000,350.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n629,geoplotlib,andrea-cuttone/geoplotlib,,geospatial-data,https://github.com/andrea-cuttone/geoplotlib,https://github.com/andrea-cuttone/geoplotlib,MIT,2015-02-24 13:13:07.000000,2020-04-10 20:00:31.000000,2019-05-06 07:06:50.000000,147,24.0,18.0,913,159.0,python toolbox for visualizing geographical data and making maps.,8.0,20,False,2016-07-27 14:55:01.000000,0.3.2,4.0,geoplotlib,,,,,106.0,95.0,https://pypi.org/project/geoplotlib,2016-07-27 14:55:01.000000,11.0,2057.0,2057.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n630,Databolt Flow,d6t/d6tflow,,data-pipelines,https://github.com/d6t/d6tflow,https://github.com/d6t/d6tflow,MIT,2019-02-03 01:51:22.000000,2021-04-28 04:27:05.000000,2021-04-28 04:27:05.000000,67,8.0,12.0,909,241.0,Python library for building highly effective data science workflows.,12.0,20,True,2021-03-17 03:43:31.000000,0.2.3,20.0,d6tflow,,,,,13.0,13.0,https://pypi.org/project/d6tflow,2021-03-17 03:43:31.000000,,392.0,392.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n631,mrq,pricingassistant/mrq,,data-pipelines,https://github.com/pricingassistant/mrq,https://github.com/pricingassistant/mrq,MIT,2014-02-13 09:32:40.000000,2021-03-31 18:42:38.000000,2020-12-13 18:58:15.000000,113,59.0,119.0,839,709.0,Mr. Queue - A distributed worker task queue in Python using Redis & gevent.,37.0,20,True,2018-08-31 16:03:04.000000,0.9.10,70.0,mrq,,,,,35.0,23.0,https://pypi.org/project/mrq,2018-08-31 16:03:04.000000,12.0,843.0,843.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n632,Darts,unit8co/darts,,time-series-data,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000000,2021-04-29 14:04:27.000000,2021-04-19 06:50:11.000000,113,19.0,65.0,835,339.0,A python library for easy manipulation and forecasting of time series.,25.0,20,True,2021-04-14 13:55:28.000000,0.7.0,11.0,u8darts,,unit8/darts,,,2.0,2.0,https://pypi.org/project/u8darts,2021-04-14 13:55:28.000000,0.0,2568.0,2571.0,,,,https://hub.docker.com/r/unit8/darts,2021-04-14 13:36:57.572146,,113.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n633,Explainability 360,Trusted-AI/AIX360,,interpretability,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48.000000,2020-12-04 16:51:14.000000,2020-12-04 16:49:39.000000,172,26.0,19.0,823,305.0,Interpretability and explainability of data and machine learning models.,27.0,20,True,2020-10-28 09:32:21.000000,0.2.1,4.0,aix360,,,,,17.0,16.0,https://pypi.org/project/aix360,2020-10-28 09:18:17.000000,1.0,977.0,977.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n634,DALEX,ModelOriented/DALEX,,interpretability,https://github.com/ModelOriented/DALEX,https://github.com/ModelOriented/DALEX,GPL-3.0,2018-02-18 03:24:12.000000,2021-04-25 10:15:04.000000,2021-04-25 10:15:04.000000,114,12.0,266.0,813,552.0,moDel Agnostic Language for Exploration and eXplanation.,18.0,20,False,2021-02-19 15:24:01.000000,1.0.1,19.0,dalex,,,,,12.0,12.0,https://pypi.org/project/dalex,2021-02-19 15:24:01.000000,0.0,6893.0,6893.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n635,calamari,Calamari-OCR/calamari,,ocr,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,Apache-2.0,2018-03-20 15:22:29.000000,2021-04-29 09:41:19.000000,2021-03-27 13:13:47.000000,174,31.0,154.0,809,341.0,Line based ATR Engine based on OCRopy.,17.0,20,True,2021-03-20 20:48:12.000000,2.0.2,25.0,calamari_ocr,,,,,2.0,,https://pypi.org/project/calamari_ocr,2018-11-13 11:24:45.000000,2.0,1138.0,1138.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n636,AstroML,astroML/astroML,,others,https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50.000000,2021-04-07 06:12:17.000000,2021-04-07 06:12:17.000000,255,48.0,84.0,741,,\"Machine learning, statistics, and data mining for astronomy and astrophysics.\",30.0,20,True,2019-10-02 06:32:58.000000,0.4.1,10.0,astroML,conda-forge/astroml,,,['sklearn'],29.0,,https://pypi.org/project/astroML,2020-03-23 23:20:49.000000,29.0,1472.0,1996.0,https://anaconda.org/conda-forge/astroml,2020-02-16 04:18:54.678000,23089.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n637,YouTokenToMe,vkcom/youtokentome,,nlp,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28.000000,2021-01-28 23:05:01.000000,2021-01-28 19:04:09.000000,46,21.0,22.0,740,79.0,Unsupervised text tokenizer focused on computational efficiency.,6.0,20,True,2020-02-13 09:57:47.000000,1.0.6,14.0,youtokentome,,,,,123.0,111.0,https://pypi.org/project/youtokentome,2020-02-12 18:24:46.000000,12.0,17978.0,17978.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n638,NGT,yahoojapan/NGT,,nn-search,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000000,2021-04-14 00:29:39.000000,2021-04-14 00:27:17.000000,73,7.0,74.0,704,129.0,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,11.0,20,True,2021-03-12 02:52:55.000000,1.13.5,49.0,ngt,,,,,6.0,,https://pypi.org/project/ngt,2020-09-23 06:52:45.000000,6.0,10719.0,10719.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n639,NearPy,pixelogik/NearPy,,nn-search,https://github.com/pixelogik/NearPy,https://github.com/pixelogik/NearPy,MIT,2013-04-25 09:10:26.000000,2020-02-17 20:24:08.000000,2018-10-21 17:54:28.000000,136,23.0,38.0,673,159.0,\"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..\",18.0,20,False,2016-09-27 13:04:44.000000,1.0.0,8.0,NearPy,,,,,68.0,52.0,https://pypi.org/project/NearPy,2016-09-27 13:03:12.000000,16.0,2505.0,2505.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n640,Saliency,PAIR-code/saliency,,tensorflow-utils,https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35.000000,2021-04-26 20:31:05.000000,2021-04-26 19:52:50.000000,152,14.0,10.0,659,73.0,\"Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).\",14.0,20,True,2021-04-14 13:01:39.000000,0.1.2,9.0,saliency,,,,['tensorflow'],17.0,15.0,https://pypi.org/project/saliency,2021-04-14 13:01:39.000000,2.0,493.0,493.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n641,finetune,IndicoDataSolutions/finetune,,nlp,https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16.000000,2021-04-28 23:41:25.000000,2021-03-19 14:30:51.000000,68,20.0,115.0,637,1201.0,Scikit-learn style model finetuning for NLP.,19.0,20,True,2020-01-10 22:42:24.000000,0.8.6,37.0,finetune,,,,\"['tensorflow', 'sklearn']\",11.0,9.0,https://pypi.org/project/finetune,2020-01-10 22:42:24.000000,2.0,378.0,378.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n642,bambi,bambinos/bambi,,probabilistics,https://github.com/bambinos/bambi,https://github.com/bambinos/bambi,MIT,2016-05-16 03:21:00.000000,2021-04-29 15:02:23.000000,2021-04-26 17:16:20.000000,52,33.0,139.0,605,549.0,BAyesian Model-Building Interface (Bambi) in Python.,16.0,20,True,2021-04-06 13:34:03.000000,0.4.1,12.0,bambi,,,,,16.0,13.0,https://pypi.org/project/bambi,2021-04-06 13:34:03.000000,3.0,525.0,525.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n643,lets-plot,JetBrains/lets-plot,,data-viz,https://github.com/JetBrains/lets-plot,https://github.com/JetBrains/lets-plot,MIT,2019-03-20 16:13:03.000000,2021-04-28 23:11:38.000000,2021-04-28 23:11:35.000000,20,65.0,95.0,592,1928.0,An open-source plotting library for statistical data.,15.0,20,True,2021-04-14 12:58:52.000000,2.0.2,32.0,lets-plot,,,,,8.0,8.0,https://pypi.org/project/lets-plot,2021-04-14 12:58:52.000000,,5363.0,5366.0,,,,,,,,3.0,,55.0,,,,,,,,,,,,,,,,,,,,\n644,Objax,google/objax,,ml-frameworks,https://github.com/google/objax,https://github.com/google/objax,Apache-2.0,2020-08-20 06:20:40.000000,2021-04-21 22:04:17.000000,2021-04-21 22:04:16.000000,46,40.0,52.0,589,411.0,Objax is a machine learning framework that provides an Object Oriented layer for JAX.,20.0,20,True,2021-04-01 00:14:18.000000,1.4.0,7.0,objax,,,,['jax'],12.0,12.0,https://pypi.org/project/objax,2021-04-01 00:02:37.000000,0.0,464.0,464.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n645,PFRL,pfnet/pfrl,,reinforcement-learning,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50.000000,2021-04-28 10:29:25.000000,2021-04-28 02:56:32.000000,70,22.0,25.0,578,357.0,PFRL: a PyTorch-based deep reinforcement learning library.,13.0,20,True,2020-12-17 05:00:25.000000,0.2.1,4.0,pfrl,,,,,8.0,8.0,https://pypi.org/project/pfrl,2020-12-17 05:00:25.000000,,1176.0,1176.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n646,baikal,alegonz/baikal,,others,https://github.com/alegonz/baikal,https://github.com/alegonz/baikal,BSD-3-Clause,2019-01-21 12:59:02.000000,2021-04-18 08:09:10.000000,2021-04-11 07:50:00.000000,29,6.0,14.0,575,405.0,A graph-based functional API for building complex scikit-learn pipelines.,2.0,20,True,2020-11-15 13:40:18.000000,0.4.2,7.0,baikal,conda-forge/cython-blis,,,,3.0,3.0,https://pypi.org/project/baikal,2020-11-15 13:40:18.000000,0.0,539.0,27177.0,https://anaconda.org/conda-forge/cython-blis,2021-01-31 09:13:47.685000,665968.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n647,Feature Engine,solegalli/feature_engine,,others,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2018-12-31 01:47:18.000000,2021-04-25 08:42:48.000000,2021-04-25 08:42:27.000000,143,26.0,82.0,508,111.0,Feature engineering package with sklearn like functionality.,22.0,20,True,2021-01-23 12:03:16.000000,1.0.2,25.0,feature_engine,conda-forge/feature_engine,,,,2.0,,https://pypi.org/project/feature_engine,2021-01-23 12:03:16.000000,2.0,21908.0,22244.0,https://anaconda.org/conda-forge/feature_engine,2021-01-25 12:36:37.909000,2693.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n648,What-If Tool,PAIR-code/what-if-tool,,interpretability,https://github.com/PAIR-code/what-if-tool,https://github.com/PAIR-code/what-if-tool,Apache-2.0,2018-09-07 20:26:10.000000,2021-03-31 09:17:26.000000,2021-03-17 12:46:20.000000,102,37.0,37.0,498,319.0,Source code/webpage/demos for the What-If Tool.,19.0,20,True,2021-01-19 14:40:37.214000,1.8.0,38.0,witwidget,,,,,0.0,,https://pypi.org/project/witwidget,2021-01-19 14:40:21.000000,0.0,10193.0,13436.0,,,,,,,,3.0,,,,wit-widget,https://www.npmjs.com/package/wit-widget,2021-01-19 14:40:37.214000,,3243.0,,,,,,,,,,,,,,\n649,scikit-lego,koaning/scikit-lego,,sklearn-utils,https://github.com/koaning/scikit-lego,https://github.com/koaning/scikit-lego,MIT,2019-01-21 15:30:15.000000,2021-04-29 09:23:26.000000,2021-04-21 17:33:01.000000,71,25.0,192.0,487,,Extra blocks for scikit-learn pipelines.,45.0,20,True,2021-04-21 17:32:03.000000,0.6.6,32.0,scikit-lego,conda-forge/scikit-lego,,,['sklearn'],21.0,21.0,https://pypi.org/project/scikit-lego,2021-04-02 07:44:02.000000,0.0,3149.0,3728.0,https://anaconda.org/conda-forge/scikit-lego,2020-11-02 09:40:04.581000,10429.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n650,pyhsmm,mattjj/pyhsmm,,probabilistics,https://github.com/mattjj/pyhsmm,https://github.com/mattjj/pyhsmm,MIT,2012-03-18 17:40:13.000000,2020-09-29 20:58:26.000000,2020-08-24 17:03:59.000000,151,34.0,60.0,486,1426.0,Bayesian inference in HSMMs and HMMs.,13.0,20,True,2017-05-10 17:14:37.000000,0.1.7,8.0,pyhsmm,,,,,26.0,18.0,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37.000000,8.0,230.0,230.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n651,Poutyne,GRAAL-Research/poutyne,,pytorch-utils,https://github.com/GRAAL-Research/poutyne,https://github.com/GRAAL-Research/poutyne,LGPL-3.0,2017-12-07 18:30:17.000000,2021-04-27 21:27:28.000000,2021-04-15 22:09:19.000000,50,7.0,37.0,467,547.0,A simplified framework and utilities for PyTorch.,16.0,20,False,2021-04-15 15:29:37.000000,1.4,21.0,poutyne,,,,['pytorch'],63.0,59.0,https://pypi.org/project/poutyne,2021-04-15 15:30:07.000000,4.0,1509.0,1509.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n652,HpBandSter,automl/HpBandSter,,hyperopt,https://github.com/automl/HpBandSter,https://github.com/automl/HpBandSter,BSD-3-Clause,2017-12-17 20:28:20.000000,2021-01-31 10:05:37.000000,2019-03-26 09:26:28.000000,98,57.0,35.0,463,187.0,a distributed Hyperband implementation on Steroids.,11.0,20,False,2019-07-30 12:47:43.000000,1.0,8.0,hpbandster,,,,,154.0,138.0,https://pypi.org/project/hpbandster,2018-11-06 12:56:55.000000,16.0,19612.0,19612.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n653,seglearn,dmbee/seglearn,,time-series-data,https://github.com/dmbee/seglearn,https://github.com/dmbee/seglearn,BSD-3-Clause,2018-03-05 20:53:59.000000,2021-03-13 16:18:30.000000,2021-03-12 17:12:50.000000,47,5.0,22.0,445,268.0,Python module for machine learning time series:.,13.0,20,True,2021-03-13 16:18:30.000000,1.2.3,22.0,seglearn,,,,,8.0,7.0,https://pypi.org/project/seglearn,2021-03-13 16:18:30.000000,1.0,2658.0,2658.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n654,PyWaffle,gyli/PyWaffle,,data-viz,https://github.com/gyli/PyWaffle,https://github.com/gyli/PyWaffle,MIT,2017-11-14 20:03:47.000000,2020-07-26 23:22:17.000000,2020-07-26 23:22:13.000000,66,2.0,10.0,420,249.0,Make Waffle Charts in Python.,6.0,20,True,2020-07-26 19:16:45.000000,0.6.1,22.0,pywaffle,,,,,49.0,49.0,https://pypi.org/project/pywaffle,2020-07-26 19:16:45.000000,,1794.0,1794.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n655,BioPandas,rasbt/biopandas,,others,https://github.com/rasbt/biopandas,https://github.com/rasbt/biopandas,BSD-3-Clause,2015-11-21 00:00:14.000000,2021-04-07 03:17:51.000000,2021-04-07 03:17:51.000000,78,15.0,21.0,338,,Working with molecular structures in pandas DataFrames.,7.0,20,True,2021-03-03 00:55:13.000000,0.2.8,12.0,biopandas,conda-forge/biopandas,,,['pandas'],59.0,53.0,https://pypi.org/project/biopandas,2021-03-03 00:55:13.000000,6.0,966.0,2373.0,https://anaconda.org/conda-forge/biopandas,2020-08-08 06:33:59.197000,73204.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n656,MedPy,loli/medpy,,medical-data,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34.000000,2020-05-01 15:25:39.000000,2020-05-01 15:25:38.000000,107,10.0,66.0,337,324.0,Medical image processing in Python.,13.0,20,False,2019-02-14 17:12:59.000000,0.4.0,6.0,MedPy,,,,,292.0,262.0,https://pypi.org/project/MedPy,2019-02-14 17:12:59.000000,30.0,7921.0,7921.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n657,sklearn-evaluation,edublancas/sklearn-evaluation,,interpretability,https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2015-09-04 16:33:42.000000,2021-03-28 18:20:55.000000,2021-03-28 18:13:37.000000,27,9.0,28.0,299,516.0,\"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook..\",5.0,20,True,2021-03-28 18:21:46.000000,0.5.5,17.0,sklearn-evaluation,,,,['sklearn'],29.0,27.0,https://pypi.org/project/sklearn-evaluation,2021-03-28 18:20:55.000000,2.0,615.0,615.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n658,textpipe,textpipe/textpipe,,nlp,https://github.com/textpipe/textpipe,https://github.com/textpipe/textpipe,MIT,2018-06-21 16:23:32.000000,2021-03-29 09:42:04.000000,2021-01-25 14:01:56.000000,20,21.0,25.0,291,370.0,Textpipe: clean and extract metadata from text.,27.0,20,True,2021-01-25 14:05:21.000000,0.12.2,39.0,textpipe,,,,,8.0,7.0,https://pypi.org/project/textpipe,2021-01-25 14:05:21.000000,1.0,2754.0,2754.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n659,impyute,eltonlaw/impyute,,others,https://github.com/eltonlaw/impyute,https://github.com/eltonlaw/impyute,MIT,2017-01-21 09:16:27.000000,2020-06-12 21:08:40.000000,2019-10-05 20:39:08.000000,41,26.0,36.0,278,289.0,Data imputations library to preprocess datasets with missing data.,9.0,20,False,2019-04-29 02:31:32.000000,0.0.8,8.0,impyute,,,,,93.0,89.0,https://pypi.org/project/impyute,2019-04-29 02:31:32.000000,4.0,2860.0,2860.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n660,FiftyOne,voxel51/fiftyone,,data-viz,https://github.com/voxel51/fiftyone,https://github.com/voxel51/fiftyone,Apache-2.0,2020-04-22 13:43:28.000000,2021-04-29 15:33:07.000000,2021-04-28 15:05:35.000000,25,133.0,254.0,264,5467.0,\"Visualize, create, and debug image and video datasets and model predictions.\",11.0,20,True,2021-04-05 21:31:34.000000,0.8.0,47.0,fiftyone,,,,\"['tensorflow', 'pytorch', 'jupyter']\",1.0,1.0,https://pypi.org/project/fiftyone,2021-04-06 21:11:44.000000,,1600.0,1600.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n661,EarthPy,earthlab/earthpy,,geospatial-data,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000000,2021-04-28 01:36:17.000000,2021-04-06 22:04:33.000000,108,19.0,201.0,253,,A package built to support working with spatial data using open source python.,39.0,20,True,2020-06-18 23:58:08.000000,0.9.2,22.0,earthpy,conda-forge/earthpy,,,,94.0,88.0,https://pypi.org/project/earthpy,2020-06-18 23:58:08.000000,6.0,2975.0,4280.0,https://anaconda.org/conda-forge/earthpy,2020-06-19 15:23:44.425000,31339.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n662,Brainiak,brainiak/brainiak,,medical-data,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27.000000,2021-04-21 14:33:53.000000,2021-02-19 18:46:29.000000,112,66.0,120.0,243,390.0,Brain Imaging Analysis Kit.,32.0,20,True,2019-08-27 23:52:29.000000,0.9.1,15.0,brainiak,,brainiak/brainiak,,,13.0,12.0,https://pypi.org/project/brainiak,2020-10-15 20:45:08.000000,1.0,357.0,365.0,,,,https://hub.docker.com/r/brainiak/brainiak,2020-10-15 21:11:03.379549,1.0,533.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n663,ivis,beringresearch/ivis,,data-viz,https://github.com/beringresearch/ivis,https://github.com/beringresearch/ivis,Apache-2.0,2018-08-13 08:31:01.000000,2021-04-26 10:39:34.000000,2021-04-26 10:39:34.000000,23,2.0,42.0,228,532.0,Dimensionality reduction in very large datasets using Siamese Networks.,8.0,20,True,2021-04-15 19:29:20.000000,2.0.2,28.0,ivis,,,,['tensorflow'],15.0,15.0,https://pypi.org/project/ivis,2021-04-15 19:29:20.000000,0.0,886.0,886.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n664,gokart,m3dev/gokart,,ml-experiments,https://github.com/m3dev/gokart,https://github.com/m3dev/gokart,MIT,2018-12-23 07:40:27.000000,2021-04-27 20:57:58.000000,2021-04-27 20:57:54.000000,30,9.0,34.0,179,409.0,\"Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning..\",25.0,20,True,2021-04-26 01:41:26.000000,1.0.0,55.0,gokart,,,,,2.0,,https://pypi.org/project/gokart,2020-02-25 06:01:19.000000,2.0,1098.0,1098.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n665,Glow,projectglow/glow,,medical-data,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47.000000,2021-04-28 00:07:10.000000,2021-04-27 23:19:55.000000,44,28.0,58.0,166,323.0,An open-source toolkit for large-scale genomic analysis.,12.0,20,True,2021-04-28 00:07:10.000000,1.0.1,11.0,glow.py,,,,,,,https://pypi.org/project/glow.py,2021-04-28 00:05:18.000000,,13511.0,13511.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n666,graph-nets,deepmind/graph_nets,,graph,https://github.com/deepmind/graph_nets,https://github.com/deepmind/graph_nets,Apache-2.0,2018-08-31 08:19:28.000000,2020-12-04 17:43:48.000000,2020-12-04 17:43:47.000000,732,8.0,108.0,4867,47.0,Build Graph Nets in Tensorflow.,10.0,19,True,2020-01-29 16:00:25.000000,1.1.0,7.0,graph-nets,,,,['tensorflow'],7.0,,https://pypi.org/project/graph-nets,2020-01-29 16:00:25.000000,7.0,1140.0,1140.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n667,AdaBound,Luolc/AdaBound,,pytorch-utils,https://github.com/Luolc/AdaBound,https://github.com/Luolc/AdaBound,Apache-2.0,2019-02-15 18:05:20.000000,2019-03-06 17:01:52.000000,2019-03-06 17:01:45.000000,327,16.0,7.0,2846,27.0,An optimizer that trains as fast as Adam and as good as SGD.,2.0,19,False,2019-03-06 16:44:42.000000,0.0.5,4.0,adabound,,,,['pytorch'],119.0,107.0,https://pypi.org/project/adabound,2019-02-26 04:23:45.000000,12.0,1084.0,1084.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n668,BytePS,bytedance/byteps,,distributed-ml,https://github.com/bytedance/byteps,https://github.com/bytedance/byteps,Apache-2.0,2019-06-25 07:00:13.000000,2021-04-21 01:41:01.000000,2021-04-21 01:41:01.000000,383,87.0,147.0,2790,417.0,A high performance and generic framework for distributed DNN training.,19.0,19,True,2020-08-27 15:42:13.000000,0.2.4,7.0,byteps,,bytepsimage/tensorflow,,,,,https://pypi.org/project/byteps,2020-11-04 00:05:46.000000,,202.0,250.0,,,,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,1077.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n669,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,,graph,https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16.000000,2021-04-01 06:01:01.000000,2021-03-29 19:01:19.000000,370,41.0,104.0,2758,143.0,Generate embeddings from large-scale graph-structured data.,20.0,19,True,2019-10-14 16:45:11.000000,1.0.0,3.0,torchbiggraph,,,,['pytorch'],4.0,,https://pypi.org/project/torchbiggraph,2019-05-01 21:31:13.000000,4.0,788.0,792.0,,,,,,,,3.0,,112.0,,,,,,,,,,,,,,,,,,,,\n670,StreamAlert,airbnb/streamalert,,others,https://github.com/airbnb/streamalert,https://github.com/airbnb/streamalert,Apache-2.0,2017-01-22 01:10:56.000000,2021-04-15 18:32:34.000000,2021-02-10 05:03:05.000000,291,88.0,249.0,2516,1893.0,\"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data..\",31.0,19,True,2020-10-05 21:50:56.000000,3.4.1,27.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n671,Apache Singa,apache/singa,,distributed-ml,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000000,2021-04-10 07:05:37.000000,2021-01-15 13:09:22.000000,607,40.0,35.0,2219,2265.0,a distributed deep learning platform.,70.0,19,True,2020-04-21 08:01:08.000000,3.0.0,14.0,,nusdbsystem/singa,apache/singa,,,1.0,1.0,,,,,7.0,https://anaconda.org/nusdbsystem/singa,2021-01-20 03:00:28.355000,268.0,https://hub.docker.com/r/apache/singa,2019-06-04 04:32:52.195956,2.0,165.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n672,cuML,rapidsai/cuml,,gpu-utilities,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000000,2021-04-29 14:04:22.000000,2021-04-29 01:45:43.000000,327,629.0,1090.0,2126,,cuML - RAPIDS Machine Learning Library.,126.0,19,True,2021-04-21 19:48:21.000000,0.19.0,8.0,cuml,,,,,0.0,,https://pypi.org/project/cuml,2020-06-01 20:09:10.000000,0.0,932.0,932.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n673,Kashgari,BrikerMan/Kashgari,,nlp,https://github.com/BrikerMan/Kashgari,https://github.com/BrikerMan/Kashgari,Apache-2.0,2019-01-19 01:53:28.000000,2021-03-21 02:20:20.000000,2021-03-21 02:20:20.000000,394,34.0,315.0,2091,,Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-..,19.0,19,True,2020-10-30 12:37:01.000000,2.0.1,23.0,kashgari-tf,,,,['tensorflow'],30.0,28.0,https://pypi.org/project/kashgari-tf,2019-10-18 07:57:55.000000,2.0,253.0,253.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n674,pdftabextract,WZBSocialScienceCenter/pdftabextract,,ocr,https://github.com/WZBSocialScienceCenter/pdftabextract,https://github.com/WZBSocialScienceCenter/pdftabextract,Apache-2.0,2016-07-08 11:44:46.000000,2020-12-28 00:52:23.000000,2018-10-26 13:57:02.000000,333,3.0,18.0,1916,168.0,A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.,2.0,19,False,2018-01-09 08:00:24.000000,0.3.0,5.0,pdftabextract,,,,,38.0,37.0,https://pypi.org/project/pdftabextract,2018-01-09 08:00:24.000000,1.0,388.0,388.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n675,Mara Pipelines,mara/mara-pipelines,,data-pipelines,https://github.com/mara/mara-pipelines,https://github.com/mara/mara-pipelines,MIT,2018-03-31 20:37:22.000000,2021-03-08 23:02:36.000000,2021-03-08 23:02:33.000000,80,11.0,12.0,1671,134.0,\"A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow.\",16.0,19,True,2021-01-23 22:34:03.000000,3.1.2,7.0,mara-pipelines,,,,,7.0,7.0,https://pypi.org/project/mara-pipelines,2021-01-23 22:34:03.000000,,178.0,178.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n676,Lambda Networks,lucidrains/lambda-networks,,pytorch-utils,https://github.com/lucidrains/lambda-networks,https://github.com/lucidrains/lambda-networks,MIT,2020-10-08 19:01:15.000000,2020-11-18 19:54:34.000000,2020-11-18 19:54:30.000000,152,12.0,15.0,1447,,\"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.\",3.0,19,True,2020-11-18 08:19:23.000000,0.4.0,11.0,lambda-networks,,,,['pytorch'],3.0,3.0,https://pypi.org/project/lambda-networks,2020-11-18 08:19:23.000000,,2393.0,2393.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n677,TensorNets,taehoonlee/tensornets,,tensorflow-utils,https://github.com/taehoonlee/tensornets,https://github.com/taehoonlee/tensornets,MIT,2017-09-19 05:19:01.000000,2021-01-02 06:28:10.000000,2021-01-02 06:26:24.000000,188,14.0,42.0,984,284.0,High level network definitions with pre-trained weights in TensorFlow.,6.0,19,True,2020-03-31 04:38:27.000000,0.4.6,12.0,tensornets,,,,['tensorflow'],37.0,33.0,https://pypi.org/project/tensornets,2020-03-31 04:35:15.000000,4.0,231.0,231.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n678,Skater,oracle/Skater,,interpretability,https://github.com/oracle/Skater,https://github.com/oracle/Skater,UPL-1.0,2017-01-26 05:45:42.000000,2020-11-01 15:57:12.273000,2020-06-29 20:07:12.000000,163,69.0,97.0,973,1101.0,Python Library for Model Interpretation/Explanations.,34.0,19,False,2018-09-21 07:03:32.000000,1.1.2,23.0,skater,conda-forge/skater,,,,,,https://pypi.org/project/skater,2018-09-21 07:03:32.000000,,1964.0,2789.0,https://anaconda.org/conda-forge/skater,2020-11-01 15:57:12.273000,37987.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n679,Fiber,uber/fiber,,distributed-ml,https://github.com/uber/fiber,https://github.com/uber/fiber,Apache-2.0,2020-01-07 18:16:24.000000,2021-03-24 19:18:22.000000,2021-03-15 07:00:08.000000,95,13.0,8.0,885,66.0,Distributed Computing for AI Made Simple.,5.0,19,True,2020-07-09 03:28:28.000000,0.2.1,6.0,fiber,,,,,27.0,26.0,https://pypi.org/project/fiber,2020-07-09 03:28:28.000000,1.0,1726.0,1726.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n680,advertorch,BorealisAI/advertorch,,adversarial,https://github.com/BorealisAI/advertorch,https://github.com/BorealisAI/advertorch,GPL-3.0,2018-11-29 22:17:33.000000,2021-02-26 11:22:02.000000,2020-06-15 01:16:18.000000,135,15.0,28.0,850,270.0,A Toolbox for Adversarial Robustness Research.,16.0,19,False,2020-06-15 01:20:07.000000,0.2.3,10.0,advertorch,,,,['pytorch'],42.0,36.0,https://pypi.org/project/advertorch,2020-06-15 01:20:07.000000,6.0,1831.0,1831.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n681,TensorFrames,databricks/tensorframes,,distributed-ml,https://github.com/databricks/tensorframes,https://github.com/databricks/tensorframes,Apache-2.0,2016-03-04 19:25:19.000000,2020-11-13 17:47:02.000000,2019-11-15 21:43:53.000000,157,51.0,43.0,766,221.0,[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark.,16.0,19,False,2018-11-16 20:50:02.000000,0.6.0,6.0,tensorframes,,,,\"['tensorflow', 'spark']\",1.0,,https://pypi.org/project/tensorframes,2018-05-16 14:20:28.000000,1.0,11234.0,11234.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n682,tffm,geffy/tffm,,tensorflow-utils,https://github.com/geffy/tffm,https://github.com/geffy/tffm,MIT,2016-05-02 17:06:07.000000,2020-05-22 21:40:58.000000,2020-05-22 21:40:57.000000,175,17.0,20.0,766,106.0,TensorFlow implementation of an arbitrary order Factorization Machine.,10.0,19,True,2018-01-27 11:43:26.000000,1.0.1,2.0,tffm,,,,['tensorflow'],12.0,11.0,https://pypi.org/project/tffm,2018-01-27 11:43:26.000000,1.0,2311.0,2311.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n683,Hivemind,learning-at-home/hivemind,,distributed-ml,https://github.com/learning-at-home/hivemind,https://github.com/learning-at-home/hivemind,MIT,2020-02-27 13:50:19.000000,2021-04-29 14:57:32.000000,2021-04-28 18:24:28.000000,41,43.0,33.0,682,341.0,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,16.0,19,True,2021-04-27 13:57:39.000000,0.9.7,9.0,hivemind,,,,,3.0,2.0,https://pypi.org/project/hivemind,2021-04-27 14:16:41.000000,1.0,227.0,227.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n684,Test Tube,williamFalcon/test-tube,,hyperopt,https://github.com/williamFalcon/test-tube,https://github.com/williamFalcon/test-tube,MIT,2017-09-06 02:14:57.000000,2021-01-17 20:04:39.000000,2020-03-17 22:44:47.000000,61,25.0,21.0,681,642.0,Python library to easily log experiments and parallelize hyperparameter search for neural networks.,16.0,19,False,2019-12-01 01:19:36.000000,0.7.5,53.0,test_tube,,,,,5.0,,https://pypi.org/project/test_tube,2018-12-12 22:45:59.000000,5.0,16378.0,16378.0,,,,,,,,3.0,,8.0,,,,,,,,,,,,,,,,,,,,\n685,matrixprofile-ts,target/matrixprofile-ts,,time-series-data,https://github.com/target/matrixprofile-ts,https://github.com/target/matrixprofile-ts,Apache-2.0,2018-09-10 19:03:34.000000,2020-04-25 18:38:20.000000,2020-04-25 18:37:42.000000,92,19.0,34.0,631,198.0,A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile.,15.0,19,True,2019-08-08 01:24:38.000000,0.0.9,9.0,matrixprofile-ts,,,,,16.0,16.0,https://pypi.org/project/matrixprofile-ts,2019-08-08 01:24:38.000000,,3895.0,3895.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n686,XAI,EthicalML/xai,,interpretability,https://github.com/EthicalML/xai,https://github.com/EthicalML/xai,MIT,2019-01-11 20:00:09.000000,2021-04-23 07:08:20.000000,2021-04-23 07:08:20.000000,94,4.0,3.0,615,87.0,XAI - An eXplainability toolbox for machine learning.,3.0,19,True,2019-04-21 14:53:12.000000,0.0.5,5.0,xai,,,,,17.0,11.0,https://pypi.org/project/xai,2019-04-21 14:53:12.000000,6.0,3237.0,3237.0,,,,,,,,3.0,2.0,,,,,,,,,,,,,,,,,,,,,\n687,vecstack,vecxoz/vecstack,,others,https://github.com/vecxoz/vecstack,https://github.com/vecxoz/vecstack,MIT,2016-11-08 13:23:21.000000,2020-09-14 08:31:07.000000,2019-10-30 09:27:48.000000,66,,36.0,593,189.0,Python package for stacking (machine learning technique).,1.0,19,False,2019-08-12 16:09:01.000000,0.4.0,6.0,vecstack,,,,,134.0,126.0,https://pypi.org/project/vecstack,2019-08-12 16:01:22.000000,8.0,2833.0,2833.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n688,Performer Pytorch,lucidrains/performer-pytorch,,pytorch-utils,https://github.com/lucidrains/performer-pytorch,https://github.com/lucidrains/performer-pytorch,MIT,2020-10-03 03:41:36.000000,2021-04-21 06:30:05.000000,2021-04-21 06:29:48.000000,74,20.0,38.0,591,,\"An implementation of Performer, a linear attention-based transformer, in Pytorch.\",4.0,19,True,2021-04-21 06:30:05.000000,1.0.11,75.0,performer-pytorch,,,,['pytorch'],17.0,17.0,https://pypi.org/project/performer-pytorch,2021-04-21 05:45:21.000000,0.0,3140.0,3140.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n689,iterative-stratification,trent-b/iterative-stratification,,sklearn-utils,https://github.com/trent-b/iterative-stratification,https://github.com/trent-b/iterative-stratification,BSD-3-Clause,2018-02-04 00:32:10.000000,2020-09-12 15:32:44.000000,2020-09-12 15:35:02.000000,49,2.0,11.0,552,47.0,scikit-learn cross validators for iterative stratification of multilabel data.,4.0,19,True,2018-08-12 18:28:50.000000,0.1.6,5.0,iterative-stratification,,,,['sklearn'],141.0,127.0,https://pypi.org/project/iterative-stratification,2018-08-12 18:28:50.000000,14.0,7199.0,7199.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n690,robustness,MadryLab/robustness,,adversarial,https://github.com/MadryLab/robustness,https://github.com/MadryLab/robustness,MIT,2019-08-21 09:26:33.000000,2021-04-23 19:38:21.000000,2021-03-04 15:19:19.000000,95,6.0,52.0,523,139.0,\"A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.\",12.0,19,True,2020-12-01 06:11:12.000000,1.2.1.post2,10.0,robustness,,,,,48.0,46.0,https://pypi.org/project/robustness,2020-12-01 06:21:33.000000,2.0,466.0,466.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n691,deeplift,kundajelab/deeplift,,interpretability,https://github.com/kundajelab/deeplift,https://github.com/kundajelab/deeplift,MIT,2016-06-01 02:18:06.000000,2020-11-11 19:56:24.000000,2020-11-11 19:56:23.000000,126,29.0,47.0,523,551.0,Public facing deeplift repo.,11.0,19,True,2018-07-13 21:11:52.000000,0.6.6,21.0,deeplift,,,,,48.0,44.0,https://pypi.org/project/deeplift,2020-11-11 09:32:57.000000,4.0,813.0,813.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n692,N2,kakao/n2,,nn-search,https://github.com/kakao/n2,https://github.com/kakao/n2,Apache-2.0,2017-11-23 02:27:59.000000,2020-10-21 05:15:27.000000,2020-10-21 05:14:11.000000,52,17.0,22.0,464,242.0,TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets.,17.0,19,True,2020-10-16 03:43:47.000000,0.1.7,9.0,n2,,,,,19.0,15.0,https://pypi.org/project/n2,2020-10-16 03:10:01.000000,4.0,2845.0,2845.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n693,tcav,tensorflow/tcav,,interpretability,https://github.com/tensorflow/tcav,https://github.com/tensorflow/tcav,Apache-2.0,2018-07-03 17:45:35.000000,2021-03-23 17:16:42.000000,2021-03-23 17:16:22.000000,104,4.0,45.0,449,160.0,Code for the TCAV ML interpretability project.,18.0,19,True,2021-02-23 16:17:42.000000,0.2.2,4.0,tcav,,,,['tensorflow'],8.0,6.0,https://pypi.org/project/tcav,2021-02-23 16:17:42.000000,2.0,172.0,172.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n694,pivottablejs,nicolaskruchten/jupyter_pivottablejs,,data-viz,https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,MIT,2015-09-09 13:39:18.000000,2018-12-04 14:43:26.000000,2018-12-04 14:43:25.000000,58,16.0,37.0,432,32.0,\"Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js.\",3.0,19,False,2018-01-15 18:14:37.000000,0.9.0,10.0,pivottablejs,,,,['jupyter'],190.0,156.0,https://pypi.org/project/pivottablejs,2018-01-15 18:14:37.000000,34.0,8001.0,8001.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n695,Orbit,uber/orbit,,probabilistics,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000000,2021-04-28 19:22:32.000000,2021-04-28 19:22:31.000000,28,19.0,181.0,398,619.0,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,10.0,19,True,2021-04-03 01:15:52.000000,1.0.13,12.0,orbit-ml,,,,,4.0,4.0,https://pypi.org/project/orbit-ml,2021-04-03 01:15:52.000000,,375.0,375.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n696,PyKEEN,pykeen/pykeen,,graph,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000000,2021-04-29 12:37:29.000000,2021-04-28 19:04:04.000000,63,62.0,112.0,393,2359.0,A Python library for learning and evaluating knowledge graph embeddings.,18.0,19,True,2021-03-04 16:07:36.000000,1.4.0,35.0,pykeen,,,,,2.0,,https://pypi.org/project/pykeen,2021-02-15 14:13:30.000000,2.0,813.0,820.0,,,,,,,,3.0,,79.0,,,,,,,,,,,,,,,,,,,,\n697,animatplot,t-makaro/animatplot,,data-viz,https://github.com/t-makaro/animatplot,https://github.com/t-makaro/animatplot,MIT,2017-04-03 00:54:04.000000,2021-04-07 10:46:25.000000,2020-10-05 06:14:18.000000,32,17.0,16.0,363,178.0,A python package for animating plots build on matplotlib.,7.0,19,True,2020-10-05 06:20:52.000000,0.4.2,10.0,animatplot,conda-forge/animatplot,,,,16.0,14.0,https://pypi.org/project/animatplot,2020-10-05 06:20:52.000000,2.0,736.0,954.0,https://anaconda.org/conda-forge/animatplot,2020-10-06 02:02:00.460000,5685.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n698,AutoViz,AutoViML/AutoViz,,data-viz,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06.000000,2020-12-21 03:22:01.000000,2020-12-21 03:21:52.000000,58,3.0,20.0,342,97.0,\"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..\",10.0,19,True,2020-12-10 02:33:19.000000,0.0.81,26.0,autoviz,,,,,38.0,38.0,https://pypi.org/project/autoviz,2020-12-10 02:33:19.000000,,3716.0,3716.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n699,MXBoard,awslabs/mxboard,,ml-experiments,https://github.com/awslabs/mxboard,https://github.com/awslabs/mxboard,Apache-2.0,2018-02-06 23:03:51.000000,2020-01-24 23:21:56.000000,2020-01-24 23:21:55.000000,46,16.0,15.0,331,42.0,Logging MXNet data for visualization in TensorBoard.,9.0,19,False,2018-05-22 20:25:51.000000,0.1.0,12.0,mxboard,,,,['mxnet'],115.0,103.0,https://pypi.org/project/mxboard,2018-05-22 20:25:51.000000,12.0,2547.0,2547.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n700,Camphr,PKSHATechnology-Research/camphr,,nlp,https://github.com/PKSHATechnology-Research/camphr,https://github.com/PKSHATechnology-Research/camphr,Apache-2.0,2020-02-10 03:39:58.000000,2021-04-28 07:00:40.000000,2021-04-02 10:18:07.000000,17,12.0,21.0,327,1235.0,\"spaCy plugin for Transformers , Udify, ELmo, etc.\",7.0,19,True,2021-03-05 10:59:35.000000,0.8.8,45.0,camphr,,,,['spacy'],0.0,,https://pypi.org/project/camphr,2021-03-05 10:59:35.000000,0.0,1114.0,1114.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n701,apricot,jmschrei/apricot,,others,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12.000000,2021-02-18 03:37:56.000000,2021-02-18 03:37:55.000000,29,3.0,14.0,312,167.0,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,2.0,19,True,2020-09-28 07:19:15.000000,0.6.0,13.0,apricot-select,,,,,15.0,15.0,https://pypi.org/project/apricot-select,2020-09-28 07:19:15.000000,0.0,1252.0,1252.0,,,,,,,,3.0,,8.0,,,,,,,,,,,,,,,,,,,,\n702,rrcf,kLabUM/rrcf,,others,https://github.com/kLabUM/rrcf,https://github.com/kLabUM/rrcf,MIT,2018-10-20 05:39:05.000000,2021-01-13 23:05:23.000000,2020-06-10 01:07:39.000000,73,19.0,17.0,304,253.0,Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams.,4.0,19,True,2020-06-10 01:53:55.000000,0.4.3,7.0,rrcf,,,,,19.0,19.0,https://pypi.org/project/rrcf,2020-06-10 01:53:55.000000,0.0,3664.0,3664.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n703,pandas-ml,pandas-ml/pandas-ml,,others,https://github.com/pandas-ml/pandas-ml,https://github.com/pandas-ml/pandas-ml,BSD-3-Clause,2015-02-21 03:14:04.000000,2020-08-14 12:29:33.000000,2019-03-05 01:36:55.000000,59,24.0,17.0,272,153.0,\"pandas, scikit-learn, xgboost and seaborn integration.\",4.0,19,False,2019-03-05 01:36:12.000000,0.6.1,9.0,pandas-ml,,,,\"['sklearn', 'pandas']\",10.0,,https://pypi.org/project/pandas-ml,2019-03-05 01:35:23.000000,10.0,6462.0,6462.0,,,,,,,,3.0,,5.0,,,,,,,,,,,,,,,,,,,,\n704,sk-dist,Ibotta/sk-dist,,distributed-ml,https://github.com/Ibotta/sk-dist,https://github.com/Ibotta/sk-dist,Apache-2.0,2019-08-14 21:07:17.000000,2021-03-01 23:05:15.000000,2021-03-01 23:05:11.000000,44,7.0,9.0,263,47.0,Distributed scikit-learn meta-estimators in PySpark.,6.0,19,True,2020-05-14 22:20:14.000000,0.1.9,12.0,sk-dist,,,,\"['sklearn', 'spark']\",8.0,6.0,https://pypi.org/project/sk-dist,2020-05-14 22:20:14.000000,2.0,10998.0,10998.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n705,pyfasttext,vrasneur/pyfasttext,,nlp,https://github.com/vrasneur/pyfasttext,https://github.com/vrasneur/pyfasttext,GPL-3.0,2017-06-30 18:44:42.000000,2018-12-08 15:32:09.000000,2018-12-08 15:02:12.000000,30,21.0,28.0,229,153.0,Yet another Python binding for fastText.,4.0,19,False,2018-12-08 15:32:09.000000,0.4.6,13.0,pyfasttext,,,,,166.0,153.0,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09.000000,13.0,3832.0,3839.0,,,,,,,,3.0,,324.0,,,,,,,,,,,,,,,,,,,,\n706,Auto TS,AutoViML/Auto_TS,,time-series-data,https://github.com/AutoViML/Auto_TS,https://github.com/AutoViML/Auto_TS,Apache-2.0,2020-02-15 15:23:32.000000,2021-03-14 19:58:41.000000,2021-03-14 19:58:35.000000,41,10.0,31.0,225,234.0,\"Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of..\",6.0,19,True,2021-03-14 04:16:59.000000,0.0.36,15.0,auto-ts,,,,,,,https://pypi.org/project/auto-ts,2021-03-14 04:16:59.000000,,1261.0,1261.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n707,pymap3d,geospace-code/pymap3d,,geospatial-data,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03.000000,2021-04-13 11:02:07.764000,2021-04-13 05:26:01.000000,60,2.0,24.0,186,,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,10.0,19,True,2021-04-13 05:29:45.000000,2.6.1,48.0,pymap3d,conda-forge/pymap3d,,,,6.0,,https://pypi.org/project/pymap3d,2021-03-21 04:53:39.000000,6.0,40457.0,41126.0,https://anaconda.org/conda-forge/pymap3d,2021-04-13 11:02:07.764000,8704.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n708,Funsor,pyro-ppl/funsor,,probabilistics,https://github.com/pyro-ppl/funsor,https://github.com/pyro-ppl/funsor,Apache-2.0,2019-01-30 23:13:39.000000,2021-04-24 06:46:46.000000,2021-04-16 21:06:39.000000,15,70.0,67.0,170,532.0,Functional tensors for probabilistic programming.,9.0,19,True,2021-01-24 17:27:54.000000,0.4.0,6.0,funsor,,,,['pytorch'],13.0,13.0,https://pypi.org/project/funsor,2021-01-24 17:26:50.000000,0.0,517.0,517.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n709,flupy,olirice/flupy,,data-pipelines,https://github.com/olirice/flupy,https://github.com/olirice/flupy,MIT,2018-01-06 16:46:04.000000,2021-03-09 13:15:35.000000,2021-03-09 13:15:26.000000,9,,7.0,155,177.0,Fluent data pipelines for python and your shell.,4.0,19,True,2021-01-06 12:37:15.000000,1.1.6,34.0,flupy,,,,,0.0,,https://pypi.org/project/flupy,2021-01-06 12:37:15.000000,0.0,20126.0,20126.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n710,nvidia-ml-py3,nicolargo/nvidia-ml-py3,,gpu-utilities,https://github.com/nicolargo/nvidia-ml-py3,https://github.com/nicolargo/nvidia-ml-py3,BSD-3-Clause,2017-06-03 07:47:03.000000,2019-03-06 20:41:10.000000,2019-03-06 20:41:09.000000,14,2.0,,66,5.0,Python 3 Bindings for the NVIDIA Management Library.,2.0,19,False,2017-06-03 07:43:46.000000,7.352.0,1.0,nvidia-ml-py3,,,,,3332.0,3112.0,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46.000000,220.0,689995.0,689995.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n711,Crypto Signals,CryptoSignal/crypto-signal,,financial-data,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24.000000,2021-04-02 19:11:17.000000,2020-09-03 12:26:48.000000,768,41.0,192.0,2960,563.0,\"Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 2,100 + stars, 580 + forks.\",25.0,18,True,,,,,,shadowreaver/crypto-signal,,,,,,,,,1028.0,,,,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133,8.0,44228.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n712,LIT,PAIR-code/lit,,interpretability,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000000,2021-04-29 03:12:50.000000,2021-04-05 17:58:30.000000,249,48.0,42.0,2511,,The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and..,14.0,18,True,2021-04-05 19:14:45.000000,0.3,5.0,lit-nlp,,,,,3.0,3.0,https://pypi.org/project/lit-nlp,2021-04-05 19:12:37.000000,,522.0,522.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n713,riko,nerevu/riko,,data-pipelines,https://github.com/nerevu/riko,https://github.com/nerevu/riko,MIT,2016-06-02 12:22:51.000000,2020-08-14 18:29:28.000000,2020-08-14 16:47:45.000000,72,22.0,8.0,1562,1257.0,A Python stream processing engine modeled after Yahoo! Pipes.,18.0,18,True,2020-08-14 18:29:28.000000,0.66.0,58.0,riko,,,,,1.0,,https://pypi.org/project/riko,2020-08-14 18:29:28.000000,1.0,498.0,498.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n714,River,online-ml/river,,others,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000000,2021-04-29 14:59:45.000000,2021-04-26 20:40:14.000000,204,33.0,269.0,1561,3112.0,Online machine learning in Python.,63.0,18,True,,,,,,,,,9.0,9.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n715,NeuroNER,Franck-Dernoncourt/NeuroNER,,nlp,https://github.com/Franck-Dernoncourt/NeuroNER,https://github.com/Franck-Dernoncourt/NeuroNER,MIT,2017-03-07 01:24:15.000000,2020-11-13 18:07:48.000000,2019-10-02 23:26:11.000000,440,80.0,67.0,1549,132.0,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,7.0,18,False,2019-10-02 23:30:15.000000,1.0.8,7.0,pyneuroner,,,,,9.0,9.0,https://pypi.org/project/pyneuroner,2019-10-02 23:30:15.000000,,248.0,248.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n716,Antialiased CNNs,adobe/antialiased-cnns,,pytorch-utils,https://github.com/adobe/antialiased-cnns,https://github.com/adobe/antialiased-cnns,CC BY-NC-SA 4.0,2019-05-14 20:51:25.000000,2021-03-01 18:01:57.000000,2020-10-22 19:40:07.000000,176,9.0,31.0,1372,238.0,pip install antialiased-cnns to improve stability and accuracy.,6.0,18,False,2020-10-23 22:45:52.000000,0.3,6.0,antialiased-cnns,,,,['pytorch'],,,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49.000000,,2032.0,2032.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n717,Backtesting.py,kernc/backtesting.py,,financial-data,https://github.com/kernc/backtesting.py,https://github.com/kernc/backtesting.py,AGPL-3.0,2019-01-02 03:11:32.000000,2021-04-28 17:00:35.000000,2021-04-22 13:42:24.000000,291,24.0,188.0,1271,229.0,Backtest trading strategies in Python.,12.0,18,False,2017-07-22 02:00:06.000000,0.0.1,1.0,backtesting,,,,,,,https://pypi.org/project/backtesting,2017-07-22 02:00:06.000000,,5469.0,5469.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n718,doc2text,jlsutherland/doc2text,,ocr,https://github.com/jlsutherland/doc2text,https://github.com/jlsutherland/doc2text,MIT,2016-08-28 19:30:02.000000,2020-12-01 22:56:27.000000,2020-12-01 22:56:26.000000,93,12.0,9.0,1236,62.0,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,5.0,18,True,2016-09-06 21:59:21.000000,0.2.4,5.0,doc2text,,,,,35.0,35.0,https://pypi.org/project/doc2text,2016-09-06 21:59:21.000000,,494.0,494.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n719,sklearn-porter,nok/sklearn-porter,,model-serialisation,https://github.com/nok/sklearn-porter,https://github.com/nok/sklearn-porter,MIT,2016-06-22 22:21:34.000000,2021-02-28 20:44:14.000000,2019-12-18 13:31:50.000000,131,39.0,29.0,1031,699.0,\"Transpile trained scikit-learn estimators to C, Java, JavaScript and others.\",11.0,18,False,2019-12-18 13:39:19.000000,0.7.4,20.0,sklearn-porter,,,,['sklearn'],1.0,,https://pypi.org/project/sklearn-porter,2019-12-18 13:39:19.000000,1.0,1150.0,1150.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n720,Paddle Graph Learning,PaddlePaddle/PGL,,graph,https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28.000000,2021-04-25 07:54:33.000000,2021-04-25 07:42:33.000000,140,25.0,37.0,989,,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,16.0,18,True,2021-04-25 04:08:48.000000,2.1.3,11.0,pgl,,,,['paddle'],13.0,11.0,https://pypi.org/project/pgl,2021-04-25 04:08:48.000000,2.0,1087.0,1087.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n721,Norfair,tryolabs/norfair,,image,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000000,2021-04-08 03:05:28.000000,2021-03-16 21:10:22.000000,65,5.0,17.0,977,264.0,Lightweight Python library for adding real-time 2D object tracking to any detector.,8.0,18,True,2021-02-17 21:29:11.000000,0.2.0,10.0,norfair,,,,,,,https://pypi.org/project/norfair,2021-02-17 21:29:11.000000,,837.0,837.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n722,Bounter,RaRe-Technologies/bounter,,data-containers,https://github.com/RaRe-Technologies/bounter,https://github.com/RaRe-Technologies/bounter,MIT,2017-07-18 07:24:15.000000,2020-08-17 06:37:51.000000,2020-08-16 11:55:16.000000,48,11.0,9.0,899,152.0,Efficient Counter that uses a limited (bounded) amount of memory regardless of data size.,8.0,18,True,2020-08-17 06:37:51.000000,1.1.1,7.0,bounter,,,,,36.0,22.0,https://pypi.org/project/bounter,2020-08-17 06:37:51.000000,14.0,261.0,261.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n723,pytorch2keras,nerox8664/pytorch2keras,,model-serialisation,https://github.com/nerox8664/pytorch2keras,https://github.com/nerox8664/pytorch2keras,MIT,2017-11-16 20:21:43.000000,2020-05-14 10:03:56.000000,2020-05-14 10:03:04.000000,112,45.0,66.0,696,277.0,PyTorch to Keras model convertor.,11.0,18,True,2020-05-14 10:03:56.000000,0.2.4,23.0,pytorch2keras,,,,,21.0,20.0,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56.000000,1.0,922.0,922.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n724,pytorch_geometric_temporal,benedekrozemberczki/pytorch_geometric_temporal,,graph,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,MIT,2020-06-27 01:11:33.000000,2021-04-28 21:38:16.000000,2021-04-28 21:38:12.000000,81,2.0,25.0,659,1486.0,A Temporal Extension Library for PyTorch Geometric.,9.0,18,True,2021-04-25 21:53:29.000000,_00029,27.0,torch-geometric-temporal,,,,['pytorch'],,,https://pypi.org/project/torch-geometric-temporal,2021-04-25 21:52:27.000000,,781.0,781.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n725,RLax,deepmind/rlax,,reinforcement-learning,https://github.com/deepmind/rlax,https://github.com/deepmind/rlax,Apache-2.0,2020-02-18 07:14:59.000000,2021-04-13 14:59:15.000000,2021-04-13 14:58:46.000000,47,3.0,4.0,589,109.0,A library of reinforcement learning building blocks in JAX.,11.0,18,True,2020-02-19 23:01:30.000000,0.1.0,3.0,rlax,,,,['jax'],16.0,16.0,https://pypi.org/project/rlax,2020-02-19 23:01:30.000000,,395.0,395.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n726,Dragonfly,dragonfly/dragonfly,,hyperopt,https://github.com/dragonfly/dragonfly,https://github.com/dragonfly/dragonfly,MIT,2018-04-20 22:19:50.000000,2020-07-26 17:44:31.000000,2020-07-03 18:01:17.000000,77,25.0,17.0,575,397.0,An open source python library for scalable Bayesian optimisation.,12.0,18,True,2020-07-03 18:05:12.000000,0.1.6,9.0,dragonfly-opt,,,,,2.0,,https://pypi.org/project/dragonfly-opt,2020-07-03 18:05:12.000000,2.0,19289.0,19289.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n727,SKLL,EducationalTestingService/skll,,ml-experiments,https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,BSD-1-Clause,2013-08-02 14:31:46.000000,2021-04-22 15:09:01.000000,2021-04-13 00:50:54.000000,64,37.0,348.0,526,,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,35.0,18,False,2021-02-26 03:01:01.000000,2.5,64.0,skll,,,,['sklearn'],47.0,30.0,https://pypi.org/project/skll,2020-03-13 16:23:35.000000,17.0,734.0,734.0,,,,,,,,3.0,,10.0,,,,,,,,,,,,,,,,,,,,\n728,DiCE,interpretml/DiCE,,interpretability,https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000000,2021-04-28 11:51:07.000000,2021-04-28 11:48:37.000000,76,14.0,26.0,523,371.0,Generate Diverse Counterfactual Explanations for any machine learning model.,10.0,18,True,2021-04-28 11:50:40.000000,0.6,4.0,dice-ml,,,,\"['tensorflow', 'pytorch']\",,,https://pypi.org/project/dice-ml,2021-04-28 11:51:07.000000,,1847.0,1847.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n729,TF Compression,tensorflow/compression,,tensorflow-utils,https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19.000000,2021-04-23 17:44:59.000000,2021-04-23 15:44:13.000000,167,,64.0,475,170.0,Data compression in TensorFlow.,10.0,18,True,2021-03-11 09:05:35.000000,2.1,10.0,tensorflow-compression,,,,['tensorflow'],1.0,,https://pypi.org/project/tensorflow-compression,2021-03-11 09:00:48.000000,1.0,981.0,981.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n730,Vulkan Kompute,EthicalML/vulkan-kompute,,gpu-utilities,https://github.com/EthicalML/vulkan-kompute,https://github.com/EthicalML/vulkan-kompute,Apache-2.0,2020-07-29 05:23:33.000000,2021-04-24 15:18:15.000000,2021-04-24 15:18:15.000000,31,46.0,94.0,382,841.0,\"General purpose GPU compute framework for cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast,..\",11.0,18,True,2021-03-14 16:03:43.000000,0.7.0,11.0,kp,,,,,2.0,2.0,https://pypi.org/project/kp,2021-03-14 15:37:22.000000,,214.0,220.0,,,,,,,,3.0,,51.0,,,,,,,,,,,,,,,,,,,,\n731,Baal,ElementAI/baal,,probabilistics,https://github.com/ElementAI/baal,https://github.com/ElementAI/baal,Apache-2.0,2019-09-30 20:16:26.000000,2021-04-22 12:41:09.000000,2021-04-22 12:41:09.000000,32,11.0,31.0,345,106.0,Using approximate bayesian posteriors in deep nets for active learning.,8.0,18,True,2021-03-16 13:48:22.000000,1.3.0,8.0,baal,,,,,7.0,7.0,https://pypi.org/project/baal,2021-03-16 13:38:39.000000,,406.0,406.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n732,tick,X-DataInitiative/tick,,time-series-data,https://github.com/X-DataInitiative/tick,https://github.com/X-DataInitiative/tick,BSD-3-Clause,2016-12-01 10:59:08.000000,2020-08-11 12:36:43.000000,2020-06-15 12:01:36.000000,74,55.0,160.0,334,413.0,\"Module for statistical learning, with a particular emphasis on time-dependent modelling.\",16.0,18,True,2019-09-11 11:25:15.000000,0.6,23.0,tick,,,,,31.0,30.0,https://pypi.org/project/tick,2020-05-24 22:01:17.000000,1.0,1242.0,1245.0,,,,,,,,3.0,,159.0,,,,,,,,,,,,,,,,,,,,\n733,Sherpa,sherpa-ai/sherpa,,hyperopt,https://github.com/sherpa-ai/sherpa,https://github.com/sherpa-ai/sherpa,GPL-3.0,2018-05-16 21:41:54.000000,2020-10-18 07:57:50.000000,2020-10-18 07:57:48.000000,44,12.0,41.0,293,823.0,\"Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.\",43.0,18,False,2020-07-31 05:29:09.000000,1.0.7,8.0,parameter-sherpa,,,,,12.0,10.0,https://pypi.org/project/parameter-sherpa,2019-11-23 21:32:27.000000,2.0,381.0,381.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n734,scikit-tda,scikit-tda/scikit-tda,,sklearn-utils,https://github.com/scikit-tda/scikit-tda,https://github.com/scikit-tda/scikit-tda,MIT,2018-04-13 21:00:31.000000,2021-01-09 19:51:04.000000,2021-01-09 19:50:05.000000,32,11.0,4.0,280,56.0,Topological Data Analysis for Python.,2.0,18,True,2021-01-09 19:51:04.000000,0.1.0,3.0,scikit-tda,,,,['sklearn'],20.0,20.0,https://pypi.org/project/scikit-tda,2021-01-09 19:51:04.000000,,4244.0,4244.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n735,recmetrics,statisticianinstilettos/recmetrics,,recommender-systems,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49.000000,2020-12-03 21:21:02.000000,2020-12-03 21:21:00.000000,62,3.0,7.0,258,233.0,A library of metrics for evaluating recommender systems.,12.0,18,True,2019-03-05 04:11:15.000000,0.0.12,14.0,recmetrics,,,,,17.0,17.0,https://pypi.org/project/recmetrics,2019-03-05 04:11:15.000000,,390.0,390.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n736,somoclu,peterwittek/somoclu,,distributed-ml,https://github.com/peterwittek/somoclu,https://github.com/peterwittek/somoclu,MIT,2013-01-16 06:33:16.000000,2020-10-13 18:39:07.609000,2020-07-24 13:00:47.000000,56,26.0,104.0,226,590.0,\"Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters.\",17.0,18,True,2018-03-03 02:44:37.000000,1.7.5,17.0,somoclu,conda-forge/somoclu,,,,4.0,,https://pypi.org/project/somoclu,2020-04-25 05:33:32.000000,4.0,1223.0,2291.0,https://anaconda.org/conda-forge/somoclu,2020-10-13 18:39:07.609000,46191.0,,,,,3.0,,1461.0,,,,,,,,,,,,,,,,,,,,\n737,skift,shaypal5/skift,,nlp,https://github.com/shaypal5/skift,https://github.com/shaypal5/skift,MIT,2018-02-03 11:37:21.000000,2021-03-31 10:11:28.000000,2021-03-31 10:11:20.000000,22,2.0,8.0,215,129.0,scikit-learn wrappers for Python fastText.,7.0,18,True,2020-08-27 15:01:05.000000,0.0.19,15.0,skift,,,,['sklearn'],8.0,8.0,https://pypi.org/project/skift,2020-08-27 15:01:05.000000,,1591.0,1591.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n738,imodels,csinva/imodels,,interpretability,https://github.com/csinva/imodels,https://github.com/csinva/imodels,MIT,2019-07-04 15:38:48.000000,2021-04-28 19:01:35.000000,2021-04-28 19:01:31.000000,19,1.0,10.0,208,313.0,\"Interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible).\",3.0,18,True,2021-03-11 18:51:58.000000,0.2.8,8.0,imodels,,,,,7.0,7.0,https://pypi.org/project/imodels,2021-03-11 18:44:07.000000,,377.0,377.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n739,fairness-indicators,tensorflow/fairness-indicators,,interpretability,https://github.com/tensorflow/fairness-indicators,https://github.com/tensorflow/fairness-indicators,Apache-2.0,2019-09-30 22:56:45.000000,2021-04-28 17:23:54.000000,2021-04-28 17:23:13.000000,54,13.0,7.0,194,254.0,Tensorflow's Fairness Evaluation and Visualization Toolkit.,20.0,18,True,2021-04-08 23:26:49.000000,0.29.0,15.0,fairness-indicators,,,,\"['tensorflow', 'jupyter']\",,,https://pypi.org/project/fairness-indicators,2021-04-08 23:26:49.000000,,913.0,913.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n740,Muda,bmcfee/muda,,audio,https://github.com/bmcfee/muda,https://github.com/bmcfee/muda,ISC,2014-11-07 21:21:22.000000,2020-09-01 19:21:10.000000,2020-07-20 20:00:17.000000,32,5.0,44.0,182,291.0,A library for augmenting annotated audio data.,6.0,18,True,2019-11-15 15:46:21.000000,0.4.1,11.0,muda,,,,,10.0,9.0,https://pypi.org/project/muda,2019-11-15 15:46:21.000000,1.0,289.0,289.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n741,BatchFlow,analysiscenter/batchflow,,data-pipelines,https://github.com/analysiscenter/batchflow,https://github.com/analysiscenter/batchflow,Apache-2.0,2017-03-13 14:22:53.000000,2021-04-29 12:33:27.000000,2021-04-22 12:57:56.000000,36,46.0,64.0,157,4460.0,BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and..,29.0,18,True,2021-03-05 13:23:43.000000,0.5.0beta3,6.0,batchflow,,,,,,,https://pypi.org/project/batchflow,2021-03-05 13:45:58.000000,,133.0,133.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n742,Larq Compute Engine,larq/compute-engine,,model-serialisation,https://github.com/larq/compute-engine,https://github.com/larq/compute-engine,Apache-2.0,2019-08-29 15:02:43.000000,2021-04-28 08:04:18.000000,2021-04-26 17:52:18.000000,22,24.0,92.0,143,469.0,Highly optimized inference engine for Binarized Neural Networks.,15.0,18,False,2021-01-30 03:07:11.000000,0.5.0,12.0,larq-compute-engine,,,,,2.0,2.0,https://pypi.org/project/larq-compute-engine,2021-01-30 03:07:11.000000,,4048.0,4062.0,,,,,,,,3.0,,207.0,,,,,,,,,,,,,,,,,,,,\n743,DeepMind Lab,deepmind/lab,,reinforcement-learning,https://github.com/deepmind/lab,https://github.com/deepmind/lab,GPL-2.0,2016-11-30 13:41:26.000000,2021-04-16 19:55:45.000000,2021-03-04 17:39:30.000000,1310,39.0,156.0,6444,481.0,A customisable 3D platform for agent-based AI research.,7.0,17,False,2020-12-07 11:26:33.000000,release-2020-12-07,8.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n744,ReAgent,facebookresearch/ReAgent,,reinforcement-learning,https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000000,2021-04-27 22:53:24.000000,2021-04-23 21:52:01.000000,392,20.0,75.0,2871,1176.0,\"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).\",96.0,17,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n745,Spotlight,maciejkula/spotlight,,recommender-systems,https://github.com/maciejkula/spotlight,https://github.com/maciejkula/spotlight,MIT,2017-06-25 18:52:19.000000,2020-11-15 08:21:28.000000,2020-02-09 21:03:48.000000,372,67.0,48.0,2478,299.0,Deep recommender models using PyTorch.,11.0,17,False,2019-09-08 10:19:53.000000,0.1.6,7.0,,maciejkula/spotlight,,,['pytorch'],,,,,,,134.0,https://anaconda.org/maciejkula/spotlight,2018-05-27 18:32:12.235000,6185.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n746,spark-deep-learning,databricks/spark-deep-learning,,data-pipelines,https://github.com/databricks/spark-deep-learning,https://github.com/databricks/spark-deep-learning,Apache-2.0,2017-05-31 17:30:28.000000,2021-01-20 15:05:13.000000,2021-01-20 15:00:20.000000,444,73.0,27.0,1831,135.0,Deep Learning Pipelines for Apache Spark.,15.0,17,True,2020-01-08 19:50:31.000000,1.6.0,9.0,,,,,['spark'],17.0,17.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n747,BlazingSQL,BlazingDB/blazingsql,,gpu-utilities,https://github.com/BlazingDB/blazingsql,https://github.com/BlazingDB/blazingsql,Apache-2.0,2018-09-24 18:25:45.000000,2021-04-29 15:13:31.000000,2021-04-29 14:31:43.000000,135,110.0,559.0,1492,,\"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.\",42.0,17,True,2021-04-21 21:35:59.000000,0.19.0,17.0,,blazingsql/blazingsql-protocol,,,,,,,,,,48.0,https://anaconda.org/blazingsql/blazingsql-protocol,2019-11-11 19:54:17.621000,919.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n748,Advisor,tobegit3hub/advisor,,hyperopt,https://github.com/tobegit3hub/advisor,https://github.com/tobegit3hub/advisor,Apache-2.0,2017-09-14 03:50:33.000000,2019-11-11 07:09:57.869705,2019-11-11 06:59:31.000000,249,20.0,13.0,1370,165.0,Open-source implementation of Google Vizier for hyper parameters tuning.,11.0,17,False,2018-10-18 02:54:09.000000,0.1.6,4.0,advisor,,tobegit3hub/advisor,,,,,https://pypi.org/project/advisor,2018-10-18 02:54:09.000000,,79.0,115.0,,,,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1585.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n749,AdvBox,advboxes/AdvBox,,adversarial,https://github.com/advboxes/AdvBox,https://github.com/advboxes/AdvBox,Apache-2.0,2018-08-08 08:55:41.000000,2021-03-25 22:02:04.000000,2020-08-26 22:59:41.000000,232,8.0,28.0,1084,374.0,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,19.0,17,True,2018-12-05 02:48:50.000000,0.4.1,2.0,advbox,,,,,,,https://pypi.org/project/advbox,2018-12-05 02:48:50.000000,,76.0,76.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n750,CrypTen,facebookresearch/CrypTen,,privacy-ml,https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000000,2021-04-27 12:15:13.000000,2021-04-27 12:15:09.000000,111,27.0,41.0,775,254.0,A framework for Privacy Preserving Machine Learning.,23.0,17,True,2020-04-21 13:59:37.000000,0.1,1.0,crypten,,,,['pytorch'],7.0,7.0,https://pypi.org/project/crypten,2020-02-05 18:53:03.000000,,250.0,250.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n751,MedicalTorch,perone/medicaltorch,,medical-data,https://github.com/perone/medicaltorch,https://github.com/perone/medicaltorch,Apache-2.0,2018-02-27 02:50:07.000000,2021-04-16 18:50:54.000000,2021-04-16 18:50:54.000000,107,14.0,9.0,727,57.0,A medical imaging framework for Pytorch.,8.0,17,True,2018-11-24 00:33:11.000000,0.2,2.0,medicaltorch,,,,['pytorch'],10.0,10.0,https://pypi.org/project/medicaltorch,2018-11-24 00:29:36.000000,,221.0,221.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n752,cuGraph,rapidsai/cugraph,,gpu-utilities,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000000,2021-04-29 15:12:14.000000,2021-04-29 09:07:21.000000,149,110.0,537.0,699,,cuGraph - RAPIDS Graph Analytics Library.,61.0,17,True,2021-04-21 19:49:25.000000,0.19.0,8.0,cugraph,,,,,0.0,,https://pypi.org/project/cugraph,2020-06-01 20:09:06.000000,0.0,121.0,121.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n753,ADTK,arundo/adtk,,time-series-data,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22.000000,2020-04-29 19:54:40.000000,2020-04-17 02:27:44.000000,83,24.0,31.0,648,78.0,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,11.0,17,True,2020-04-17 02:18:00.000000,0.6.2,13.0,adtk,,,,,,,https://pypi.org/project/adtk,2020-04-17 02:18:00.000000,,51174.0,51174.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n754,sklearn-deap,rsteca/sklearn-deap,,hyperopt,https://github.com/rsteca/sklearn-deap,https://github.com/rsteca/sklearn-deap,MIT,2015-10-28 22:52:34.000000,2019-12-03 13:29:06.000000,2019-12-03 13:29:04.000000,108,21.0,31.0,635,98.0,Use evolutionary algorithms instead of gridsearch in scikit-learn.,20.0,17,False,2019-07-15 09:24:09.000000,0.2.4,13.0,sklearn-deap,,,,['sklearn'],27.0,25.0,https://pypi.org/project/sklearn-deap,2019-07-15 09:24:09.000000,2.0,804.0,804.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n755,SpeedTorch,Santosh-Gupta/SpeedTorch,,gpu-utilities,https://github.com/Santosh-Gupta/SpeedTorch,https://github.com/Santosh-Gupta/SpeedTorch,MIT,2019-09-07 18:57:52.000000,2020-02-21 23:13:29.000000,2020-02-21 23:13:28.000000,37,3.0,2.0,618,170.0,Library for faster pinned CPU - GPU transfer in Pytorch.,3.0,17,False,2020-01-06 05:27:17.000000,0.1.6,14.0,SpeedTorch,,,,['pytorch'],5.0,3.0,https://pypi.org/project/SpeedTorch,2020-01-06 05:27:17.000000,2.0,194.0,194.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n756,ThunderGBM,Xtra-Computing/thundergbm,,ml-frameworks,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08.000000,2021-04-01 02:08:51.000000,2021-01-05 04:22:15.000000,75,21.0,28.0,590,606.0,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,10.0,17,True,2020-05-01 23:16:25.000000,0.3.16,24.0,thundergbm,,,,,,,https://pypi.org/project/thundergbm,2020-05-01 23:16:25.000000,,162.0,162.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n757,AlphaPy,ScottfreeLLC/AlphaPy,,hyperopt,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32.000000,2021-02-08 21:35:40.000000,2021-02-08 21:35:40.000000,126,9.0,29.0,584,409.0,\"Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost.\",3.0,17,True,2020-08-29 18:48:20.000000,2.5.0,25.0,alphapy,,,,,2.0,2.0,https://pypi.org/project/alphapy,2020-08-29 18:44:15.000000,,408.0,408.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n758,Tensor Sensor,parrt/tensor-sensor,,pytorch-utils,https://github.com/parrt/tensor-sensor,https://github.com/parrt/tensor-sensor,MIT,2020-08-28 22:54:04.000000,2021-04-27 18:46:59.000000,2021-04-27 18:46:55.000000,26,5.0,12.0,547,158.0,The goal of this library is to generate more helpful exception messages for numpy/pytorch matrix algebra expressions.,2.0,17,True,2020-12-03 20:46:15.000000,0.1.1,34.0,tensor-sensor,,,,['pytorch'],2.0,2.0,https://pypi.org/project/tensor-sensor,2020-12-03 20:45:09.000000,,359.0,359.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n759,Auto Tune Models,HDI-Project/ATM,,hyperopt,https://github.com/HDI-Project/ATM,https://github.com/HDI-Project/ATM,MIT,2016-10-14 18:03:00.000000,2020-02-21 17:44:07.000000,2020-02-21 17:40:58.000000,128,17.0,71.0,508,775.0,\"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).\",16.0,17,False,2019-07-30 09:28:26.000000,0.2.2,14.0,atm,,,,,6.0,6.0,https://pypi.org/project/atm,2019-07-30 09:25:11.000000,,201.0,201.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n760,Sematch,gsi-upm/sematch,,graph,https://github.com/gsi-upm/sematch,https://github.com/gsi-upm/sematch,Apache-2.0,2012-11-30 11:11:53.000000,2020-11-05 21:20:52.000000,2019-03-27 03:17:24.000000,98,14.0,19.0,348,122.0,semantic similarity framework for knowledge graph.,5.0,17,False,2017-04-17 10:56:52.000000,1.0.4,5.0,sematch,,,,,31.0,28.0,https://pypi.org/project/sematch,2017-04-17 10:56:52.000000,3.0,188.0,188.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n761,datmo,datmo/datmo,,ml-experiments,https://github.com/datmo/datmo,https://github.com/datmo/datmo,MIT,2017-11-03 05:46:43.000000,2019-11-29 00:48:45.000000,2019-11-29 00:48:44.000000,28,42.0,149.0,334,1051.0,Open source production model management tool for data scientists.,6.0,17,False,2018-12-07 06:16:42.000000,0.0.40,41.0,datmo,,,,,5.0,5.0,https://pypi.org/project/datmo,2018-12-07 06:16:42.000000,,353.0,353.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n762,Case Recommender,caserec/CaseRecommender,,recommender-systems,https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39.000000,2020-05-26 22:44:05.000000,2020-05-26 22:44:05.000000,70,7.0,16.0,325,201.0,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems.,10.0,17,True,2019-08-20 13:48:43.000000,1.1.0,41.0,caserecommender,,,,['sklearn'],9.0,9.0,https://pypi.org/project/caserecommender,2019-08-20 13:48:43.000000,,538.0,538.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n763,Pywick,achaiah/pywick,,pytorch-utils,https://github.com/achaiah/pywick,https://github.com/achaiah/pywick,MIT,2019-03-25 15:42:47.000000,2021-03-08 15:28:01.000000,2021-03-01 17:17:46.000000,35,3.0,9.0,322,118.0,High-level batteries-included neural network training library for Pytorch.,4.0,17,True,2020-01-20 22:14:21.000000,0.5.6,6.0,pywick,,,,['pytorch'],3.0,3.0,https://pypi.org/project/pywick,2020-01-20 22:14:21.000000,,317.0,317.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n764,Headliner,as-ideas/headliner,,nlp,https://github.com/as-ideas/headliner,https://github.com/as-ideas/headliner,MIT,2019-09-30 11:33:28.000000,2021-03-26 07:19:57.000000,2020-02-14 09:03:27.000000,37,1.0,13.0,224,276.0,Easy training and deployment of seq2seq models.,2.0,17,False,2020-01-24 09:06:29.000000,1.0.2,30.0,headliner,,,,,4.0,3.0,https://pypi.org/project/headliner,2020-01-24 09:06:29.000000,1.0,413.0,413.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n765,elegy,poets-ai/elegy,,ml-frameworks,https://github.com/poets-ai/elegy,https://github.com/poets-ai/elegy,Apache-2.0,2020-06-30 14:00:37.000000,2021-04-02 14:14:33.000000,2021-04-01 17:03:16.000000,11,21.0,36.0,206,299.0,Elegy is a framework-agnostic Trainer interface for the Jax ecosystem.,13.0,17,True,2021-03-10 18:59:02.000000,0.7.2,21.0,elegy,,,,\"['tensorflow', 'jax']\",,,https://pypi.org/project/elegy,2021-03-01 22:47:33.000000,,683.0,683.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n766,ExplainX.ai,explainX/explainx,,interpretability,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15.000000,2021-02-07 11:06:21.000000,2021-02-02 09:03:57.000000,34,10.0,17.0,203,184.0,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,4.0,17,True,2021-02-07 11:06:21.000000,2.407,56.0,explainx,,,,,,,https://pypi.org/project/explainx,2021-02-04 16:44:24.000000,,1039.0,1039.0,,,,,,,,3.0,,1.0,,,,,,,,,,,,,,,,,,,,\n767,model-card-toolkit,tensorflow/model-card-toolkit,,interpretability,https://github.com/tensorflow/model-card-toolkit,https://github.com/tensorflow/model-card-toolkit,Apache-2.0,2020-07-24 16:48:58.000000,2021-04-26 10:50:37.000000,2021-04-20 20:51:31.000000,27,12.0,2.0,186,117.0,a tool that leverages rich metadata and lineage information in MLMD to build a model card.,9.0,17,True,2021-02-05 20:56:01.000000,0.1.3,4.0,model-card-toolkit,,,,,2.0,2.0,https://pypi.org/project/model-card-toolkit,2021-02-05 20:54:29.000000,,379.0,379.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n768,Julius,adefossez/julius,,audio,https://github.com/adefossez/julius,https://github.com/adefossez/julius,MIT,2020-10-26 10:54:21.000000,2021-04-26 17:36:33.000000,2021-04-26 17:34:54.000000,6,1.0,4.0,182,,Fast PyTorch based DSP for audio and 1D signals.,2.0,17,True,2021-03-03 09:48:59.000000,0.2.3,7.0,julius,,,,['pytorch'],12.0,12.0,https://pypi.org/project/julius,2021-03-03 09:48:59.000000,0.0,2489.0,2489.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n769,ipyexperiments,stas00/ipyexperiments,,gpu-utilities,https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40.000000,2021-03-28 18:24:12.000000,2021-03-28 18:23:45.000000,9,,4.0,132,196.0,jupyter/ipython experiment containers for GPU and general RAM re-use.,3.0,17,False,2021-03-28 03:39:09.000000,0.1.26,23.0,ipyexperiments,,,,['jupyter'],7.0,5.0,https://pypi.org/project/ipyexperiments,2021-03-28 03:39:09.000000,2.0,374.0,374.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n770,celer,mathurinm/celer,,sklearn-utils,https://github.com/mathurinm/celer,https://github.com/mathurinm/celer,BSD-3-Clause,2018-02-20 19:37:31.000000,2021-04-16 13:53:18.000000,2021-04-16 13:43:48.000000,22,16.0,51.0,114,218.0,\"Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.\",9.0,17,False,2020-10-12 12:26:09.000000,0.5.1,10.0,celer,,,,['sklearn'],4.0,4.0,https://pypi.org/project/celer,2020-12-09 13:19:10.000000,,169.0,169.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n771,dabl,amueller/dabl,,sklearn-utils,https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49.000000,2021-02-27 01:32:09.000000,2020-07-08 16:14:41.000000,7,1.0,,72,252.0,Data Analysis Baseline Library.,18.0,17,False,2021-02-27 01:25:17.000000,0.2.0,11.0,dabl,,,,['sklearn'],,,https://pypi.org/project/dabl,2021-02-27 01:25:17.000000,,2787.0,2787.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n772,tinygrad,geohot/tinygrad,,pytorch-utils,https://github.com/geohot/tinygrad,https://github.com/geohot/tinygrad,MIT,2020-10-18 16:23:12.000000,2021-04-28 22:05:05.000000,2021-04-26 01:06:52.000000,474,17.0,63.0,4267,513.0,You like pytorch? You like micrograd? You love tinygrad!.,43.0,16,True,,,,,,,,['pytorch'],1.0,1.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n773,Euler,alibaba/euler,,graph,https://github.com/alibaba/euler,https://github.com/alibaba/euler,Apache-2.0,2019-01-10 06:32:32.000000,2021-04-19 11:30:28.000000,2020-07-29 05:53:01.000000,515,206.0,100.0,2549,8.0,A distributed graph deep learning framework.,5.0,16,True,2020-07-07 02:24:18.000000,2.0.0,2.0,euler-gl,,,,['tensorflow'],,,https://pypi.org/project/euler-gl,2019-04-10 01:53:45.000000,,26.0,26.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n774,automl-gs,minimaxir/automl-gs,,hyperopt,https://github.com/minimaxir/automl-gs,https://github.com/minimaxir/automl-gs,MIT,2019-01-13 18:57:44.000000,2019-10-22 11:20:40.000000,2019-04-05 06:48:14.000000,164,26.0,6.0,1733,102.0,\"Provide an input CSV and a target field to predict, generate a model + code to run it.\",7.0,16,False,2019-04-05 06:51:04.000000,0.2.1,2.0,automl_gs,,,,,,,https://pypi.org/project/automl_gs,2019-04-05 06:47:54.000000,,49.0,49.0,,,,,,,,3.0,,21.0,,,,,,,,,,,,,,,,,,,,\n775,Xcessiv,reiinakano/xcessiv,,hyperopt,https://github.com/reiinakano/xcessiv,https://github.com/reiinakano/xcessiv,Apache-2.0,2017-03-07 18:18:25.000000,2018-06-06 22:23:37.000000,2017-08-21 00:51:15.000000,109,22.0,13.0,1258,316.0,\"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.\",6.0,16,False,2017-08-21 00:53:25.000000,0.5.1,34.0,xcessiv,,,,,2.0,1.0,https://pypi.org/project/xcessiv,2017-08-21 00:49:41.000000,1.0,126.0,126.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n776,Botflow,kkyon/botflow,,data-pipelines,https://github.com/kkyon/botflow,https://github.com/kkyon/botflow,BSD-3-Clause,2018-08-20 03:13:31.000000,2020-12-31 09:03:22.000000,2019-05-23 14:40:50.000000,99,2.0,2.0,1167,192.0,\"Python Fast Dataflow programming framework for Data pipeline work( Web Crawler,Machine Learning,Quantitative..\",11.0,16,False,2018-09-14 14:38:32.000000,0.2.0,5.0,botflow,,,,,1.0,1.0,https://pypi.org/project/botflow,2018-09-14 14:38:32.000000,,127.0,127.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n777,zenml,maiot-io/zenml,,data-pipelines,https://github.com/maiot-io/zenml,https://github.com/maiot-io/zenml,Apache-2.0,2020-11-19 09:25:46.000000,2021-04-29 08:01:22.000000,2021-04-29 08:01:19.000000,55,16.0,28.0,1124,,ZenML : MLOps framework to create reproducible ML pipelines for production machine learning.,11.0,16,True,2021-04-22 15:43:15.000000,0.3.7,27.0,zenml,,,,,1.0,1.0,https://pypi.org/project/zenml,2021-04-22 15:31:43.000000,,524.0,524.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n778,aim,aimhubio/aim,,ml-experiments,https://github.com/aimhubio/aim,https://github.com/aimhubio/aim,Apache-2.0,2019-05-31 18:25:07.000000,2021-04-20 17:22:36.000000,2021-04-20 17:22:36.000000,58,100.0,68.0,1066,,\"Aim a super-easy way to record, search and compare 1000s of ML training runs.\",10.0,16,True,2019-11-06 08:06:11.000000,3.1.0,48.0,aim,,,,,2.0,,https://pypi.org/project/aim,2021-04-10 15:12:54.000000,2.0,2977.0,2977.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n779,torchsde,google-research/torchsde,,pytorch-utils,https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11.000000,2021-04-10 22:21:33.000000,2021-04-10 22:21:25.000000,63,5.0,31.0,705,149.0,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,4.0,16,True,2021-01-05 18:31:38.000000,0.2.4,4.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n780,HyperparameterHunter,HunterMcGushion/hyperparameter_hunter,,hyperopt,https://github.com/HunterMcGushion/hyperparameter_hunter,https://github.com/HunterMcGushion/hyperparameter_hunter,MIT,2018-06-01 23:17:00.000000,2021-01-20 03:52:41.000000,2021-01-20 03:52:40.000000,83,37.0,84.0,646,1096.0,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries.,4.0,16,True,2019-08-06 09:09:45.000000,3.0.0,16.0,hyperparameter-hunter,,,,,2.0,,https://pypi.org/project/hyperparameter-hunter,2019-08-06 08:52:20.000000,2.0,228.0,236.0,,,,,,,,3.0,,270.0,,,,,,,,,,,,,,,,,,,,\n781,FlashTorch,MisaOgura/flashtorch,,interpretability,https://github.com/MisaOgura/flashtorch,https://github.com/MisaOgura/flashtorch,MIT,2019-03-22 13:00:57.000000,2021-04-27 12:50:10.000000,2021-04-27 11:10:20.000000,66,6.0,21.0,581,127.0,Visualization toolkit for neural networks in PyTorch! Demo --.,2.0,16,True,2020-05-29 14:39:38.000000,0.1.3,12.0,flashtorch,,,,['pytorch'],6.0,6.0,https://pypi.org/project/flashtorch,2020-05-29 14:38:32.000000,,255.0,255.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n782,kglib,graknlabs/kglib,,graph,https://github.com/vaticle/kglib,https://github.com/vaticle/kglib,Apache-2.0,2018-09-16 16:46:48.000000,2021-01-15 11:17:51.000000,2021-01-15 11:17:51.000000,77,10.0,49.0,420,487.0,Grakn Knowledge Graph Library (ML R&D).,7.0,16,True,2020-08-19 15:39:10.000000,0.2.2,7.0,grakn-kglib,,,,,,,https://pypi.org/project/grakn-kglib,2020-08-19 15:39:10.000000,,146.0,153.0,,,,,,,,3.0,,207.0,,,,,,,,,,,vaticle/kglib,,,,,,,,,\n783,atspy,firmai/atspy,,time-series-data,https://github.com/firmai/atspy,https://github.com/firmai/atspy,MIT,2020-01-28 05:00:10.000000,2020-12-01 13:53:03.000000,2020-11-12 16:15:26.000000,67,18.0,2.0,348,97.0,AtsPy: Automated Time Series Models in Python (by @firmai).,5.0,16,True,2020-11-12 16:10:48.000000,zen,39.0,atspy,,,,,3.0,3.0,https://pypi.org/project/atspy,2020-04-24 18:16:15.000000,,871.0,871.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n784,tfdeploy,riga/tfdeploy,,model-serialisation,https://github.com/riga/tfdeploy,https://github.com/riga/tfdeploy,BSD-3-Clause,2016-03-07 13:08:21.000000,2021-01-08 09:52:54.000000,2021-01-08 09:52:49.000000,38,10.0,23.0,346,170.0,Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.,4.0,16,True,2017-03-30 10:51:26.000000,0.4.2,22.0,tfdeploy,,,,['tensorflow'],2.0,,https://pypi.org/project/tfdeploy,2017-03-30 10:51:26.000000,2.0,185.0,185.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n785,pdvega,altair-viz/pdvega,,data-viz,https://github.com/altair-viz/pdvega,https://github.com/altair-viz/pdvega,MIT,2018-01-11 21:30:27.000000,2019-03-29 16:09:14.000000,2019-03-29 16:09:13.000000,29,16.0,10.0,340,177.0,Interactive plotting for Pandas using Vega-Lite.,9.0,16,False,,,1.0,pdvega,,,,,55.0,48.0,https://pypi.org/project/pdvega,2018-02-01 04:56:43.000000,7.0,144.0,144.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n786,VizSeq,facebookresearch/vizseq,,nlp,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38.000000,2021-04-20 01:16:55.000000,2021-04-20 01:16:51.000000,41,7.0,8.0,325,45.0,\"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).\",3.0,16,True,2020-08-07 01:13:52.000000,0.1.15,16.0,vizseq,,,,,2.0,2.0,https://pypi.org/project/vizseq,2020-08-07 01:13:52.000000,,226.0,226.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n787,LOFO,aerdem4/lofo-importance,,interpretability,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46.000000,2021-01-27 13:57:42.000000,2020-07-02 11:49:52.000000,40,2.0,10.0,320,24.0,Leave One Feature Out Importance.,3.0,16,True,2020-07-02 11:44:57.000000,0.2.6,9.0,lofo-importance,,,,,3.0,3.0,https://pypi.org/project/lofo-importance,2020-07-02 11:44:57.000000,,210.0,210.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n788,DeepGraph,deepgraph/deepgraph,,graph,https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45.000000,2021-01-15 08:36:25.609000,2020-10-01 13:17:00.000000,35,7.0,5.0,234,160.0,Analyze Data with Pandas-based Networks. Documentation:.,2.0,16,True,2020-10-01 13:20:38.000000,0.2.3,13.0,deepgraph,conda-forge/deepgraph,,,['pandas'],1.0,1.0,https://pypi.org/project/deepgraph,2020-10-01 13:18:38.000000,,420.0,2484.0,https://anaconda.org/conda-forge/deepgraph,2021-01-15 08:36:25.609000,90834.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n789,Parfit,jmcarpenter2/parfit,,hyperopt,https://github.com/jmcarpenter2/parfit,https://github.com/jmcarpenter2/parfit,MIT,2017-11-22 20:17:51.000000,2020-04-04 19:26:44.000000,2020-04-04 19:26:37.000000,25,6.0,5.0,197,127.0,\"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..\",2.0,16,True,,,23.0,parfit,,,,['sklearn'],8.0,8.0,https://pypi.org/project/parfit,2018-10-11 22:03:16.000000,,12215.0,12215.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n790,NeuralQA,victordibia/neuralqa,,nlp,https://github.com/victordibia/neuralqa,https://github.com/victordibia/neuralqa,MIT,2020-05-19 03:55:56.000000,2021-04-21 23:04:52.000000,2020-12-16 17:41:37.000000,24,21.0,8.0,191,312.0,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,3.0,16,True,,,27.0,neuralqa,,,,,2.0,2.0,https://pypi.org/project/neuralqa,2020-09-18 17:54:50.000000,,188.0,188.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n791,skggm,skggm/skggm,,sklearn-utils,https://github.com/skggm/skggm,https://github.com/skggm/skggm,MIT,2016-06-11 18:35:56.000000,2020-12-24 08:36:00.000000,2020-12-24 05:43:15.000000,31,28.0,47.0,178,691.0,Scikit-learn compatible estimation of general graphical models.,5.0,16,True,2018-09-12 01:12:49.000000,0.2.8,6.0,skggm,,,,['sklearn'],8.0,6.0,https://pypi.org/project/skggm,2018-09-12 01:12:49.000000,2.0,142.0,142.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n792,steppy,minerva-ml/steppy,,ml-experiments,https://github.com/minerva-ml/steppy,https://github.com/minerva-ml/steppy,MIT,2018-01-15 09:40:49.000000,2018-11-23 09:49:59.000000,2018-11-23 09:47:34.000000,31,16.0,50.0,128,69.0,\"Lightweight, Python library for fast and reproducible experimentation.\",5.0,16,False,2018-11-23 09:49:59.000000,0.1.16,16.0,steppy,,,,,44.0,39.0,https://pypi.org/project/steppy,2018-11-23 09:49:59.000000,5.0,134.0,134.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n793,pyRDF2Vec,IBCNServices/pyRDF2Vec,,graph,https://github.com/IBCNServices/pyRDF2Vec,https://github.com/IBCNServices/pyRDF2Vec,MIT,2019-06-13 11:36:12.000000,2021-04-29 12:51:12.000000,2021-04-27 06:09:01.000000,19,3.0,33.0,105,1088.0,Python Implementation and Extension of RDF2Vec.,5.0,16,False,2021-04-02 07:35:12.000000,0.2.2,10.0,pyrdf2vec,,,,,,,https://pypi.org/project/pyrdf2vec,2021-04-02 07:33:41.000000,,317.0,317.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n794,contextual-ai,SAP/contextual-ai,,interpretability,https://github.com/SAP/contextual-ai,https://github.com/SAP/contextual-ai,Apache-2.0,2020-05-12 07:15:56.000000,2021-03-25 23:48:34.000000,2021-01-25 04:03:23.000000,9,5.0,1.0,68,621.0,\"Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference -..\",10.0,16,False,2021-01-25 04:56:57.000000,0.0.2,2.0,contextual-ai,,,,,,,https://pypi.org/project/contextual-ai,2021-01-25 04:56:57.000000,,222.0,222.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n795,GraphEmbedding,shenweichen/GraphEmbedding,,graph,https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20.000000,2021-04-06 17:36:59.000000,2020-10-18 09:32:47.000000,586,28.0,13.0,1941,28.0,Implementation and experiments of graph embedding algorithms.,8.0,15,True,,,,,,,,['sklearn'],7.0,7.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n796,pycls,facebookresearch/pycls,,image,https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17.000000,2021-04-06 08:35:04.000000,2021-03-27 08:14:57.000000,169,15.0,44.0,1540,76.0,\"Codebase for Image Classification Research, written in PyTorch.\",10.0,15,True,2020-04-15 19:33:22.000000,0.1,1.0,,,,,['pytorch'],3.0,3.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n797,Torch-Struct,harvardnlp/pytorch-struct,,pytorch-utils,https://github.com/harvardnlp/pytorch-struct,https://github.com/harvardnlp/pytorch-struct,MIT,2019-08-26 19:34:30.000000,2021-02-15 20:20:59.000000,2021-02-14 02:45:15.000000,71,18.0,24.0,926,261.0,\"Fast, general, and tested differentiable structured prediction in PyTorch.\",13.0,15,True,2021-02-15 20:20:59.000000,0.5,2.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n798,Translate,pytorch/translate,,nlp,https://github.com/pytorch/translate,https://github.com/pytorch/translate,BSD-3-Clause,2018-04-24 16:44:04.000000,2021-04-23 04:33:15.000000,2021-04-23 04:33:10.000000,167,66.0,27.0,691,806.0,Translate - a PyTorch Language Library.,86.0,15,True,,,1.0,pytorch-translate,,,,['pytorch'],,,https://pypi.org/project/pytorch-translate,2018-05-01 19:59:40.000000,,17.0,17.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n799,Anchor,marcotcr/anchor,,interpretability,https://github.com/marcotcr/anchor,https://github.com/marcotcr/anchor,BSD-2-Clause,2018-02-02 23:38:50.000000,2021-04-19 22:37:30.000000,2021-04-19 22:37:22.000000,87,15.0,46.0,632,42.0,Code for High-Precision Model-Agnostic Explanations paper.,8.0,15,True,,,8.0,anchor_exp,,,,,,,https://pypi.org/project/anchor_exp,2020-06-26 20:56:50.000000,,753.0,753.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n800,Tez,abhishekkrthakur/tez,,pytorch-utils,https://github.com/abhi1thakur/tez,https://github.com/abhi1thakur/tez,Apache-2.0,2020-11-13 10:19:22.000000,2021-03-06 18:36:45.000000,2021-03-06 18:36:45.000000,78,12.0,7.0,596,,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,2.0,15,True,2021-01-29 07:26:14.000000,0.1.2,9.0,tez,,,,['pytorch'],6.0,6.0,https://pypi.org/project/tez,2021-01-29 07:26:14.000000,,697.0,697.0,,,,,,,,3.0,,,,,,,,,,,,,abhi1thakur/tez,,,,,,,,,\n801,cuSignal,rapidsai/cusignal,,gpu-utilities,https://github.com/rapidsai/cusignal,https://github.com/rapidsai/cusignal,Apache-2.0,2019-08-22 14:27:27.000000,2021-04-29 14:35:52.000000,2021-04-29 14:35:52.000000,62,15.0,97.0,478,,GPU accelerated signal processing.,30.0,15,True,2021-04-21 15:16:02.000000,0.19.0,6.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n802,PandaPy,firmai/pandapy,,data-containers,https://github.com/firmai/pandapy,https://github.com/firmai/pandapy,MIT,2020-01-15 18:21:23.000000,2020-11-12 16:18:45.000000,2020-11-12 16:18:44.000000,47,2.0,1.0,473,83.0,PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai).,3.0,15,True,2020-11-12 16:12:54.000000,zen,22.0,pandapy,,,,['pandas'],1.0,1.0,https://pypi.org/project/pandapy,2020-01-25 23:10:32.000000,,157.0,157.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n803,OpenRec,ylongqi/openrec,,recommender-systems,https://github.com/ylongqi/openrec,https://github.com/ylongqi/openrec,Apache-2.0,2017-11-29 16:04:40.000000,2020-11-13 17:47:17.000000,2020-02-19 07:57:17.000000,82,4.0,12.0,369,213.0,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms.,10.0,15,False,2020-02-18 06:52:11.000000,0.3.0,12.0,openrec,,,,,2.0,1.0,https://pypi.org/project/openrec,2020-02-18 06:52:11.000000,1.0,85.0,85.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n804,TransferNLP,feedly/transfer-nlp,,nlp,https://github.com/feedly/transfer-nlp,https://github.com/feedly/transfer-nlp,MIT,2019-03-12 20:00:31.000000,2020-05-28 19:00:02.000000,2020-05-28 17:31:53.000000,18,4.0,20.0,287,465.0,NLP library designed for reproducible experimentation management.,7.0,15,True,2020-05-28 19:00:02.000000,0.1.6,8.0,transfer-nlp,,,,['pytorch'],,,https://pypi.org/project/transfer-nlp,2020-05-28 19:00:02.000000,,172.0,172.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n805,data-describe,data-describe/data-describe,,data-viz,https://github.com/data-describe/data-describe,https://github.com/data-describe/data-describe,Apache-2.0,2020-05-04 17:58:14.000000,2021-04-13 06:31:03.000000,2021-03-02 19:30:45.000000,14,69.0,175.0,275,695.0,datadescribe: Pythonic EDA Accelerator for Data Science.,14.0,15,True,,,5.0,data-describe,,,,,,,https://pypi.org/project/data-describe,2020-12-03 23:07:43.000000,,321.0,321.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n806,Auptimizer,LGE-ARC-AdvancedAI/auptimizer,,hyperopt,https://github.com/LGE-ARC-AdvancedAI/auptimizer,https://github.com/LGE-ARC-AdvancedAI/auptimizer,GPL-3.0,2019-09-12 01:08:37.000000,2021-03-03 01:50:33.000000,2021-03-03 01:30:06.000000,21,1.0,5.0,169,79.0,An automatic ML model optimization tool.,11.0,15,False,2021-03-03 02:00:23.000000,2.0,7.0,auptimizer,,,,,,,https://pypi.org/project/auptimizer,2021-03-02 02:40:32.000000,,235.0,235.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n807,nx-altair,Zsailer/nx_altair,,data-viz,https://github.com/Zsailer/nx_altair,https://github.com/Zsailer/nx_altair,MIT,2018-05-13 00:10:12.000000,2020-09-30 12:01:08.000000,2020-06-02 21:10:26.000000,20,5.0,4.0,161,51.0,Draw interactive NetworkX graphs with Altair.,3.0,15,True,2020-06-02 21:11:12.000000,0.1.6,8.0,nx-altair,,,,['jupyter'],4.0,,https://pypi.org/project/nx-altair,2020-06-02 21:11:12.000000,4.0,456.0,456.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n808,ModelChimp,ModelChimp/modelchimp,,ml-experiments,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03.000000,2021-04-29 13:10:18.000000,2021-02-15 13:37:13.000000,12,4.0,10.0,121,361.0,Experiment tracking for machine and deep learning projects.,3.0,15,False,2019-04-09 10:43:15.000000,0.4.0,37.0,modelchimp,,modelchimp/modelchimp-server,,,,,https://pypi.org/project/modelchimp,2019-04-09 10:41:20.000000,,194.0,216.0,,,,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,638.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n809,DE⫶TR,facebookresearch/detr,,image,https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52.000000,2021-04-18 16:13:13.000000,2020-11-15 16:03:45.000000,1066,77.0,234.0,6788,41.0,End-to-End Object Detection with Transformers.,19.0,14,True,2020-06-29 16:41:01.000000,0.2,1.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n810,PySlowFast,facebookresearch/SlowFast,,image,https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26.000000,2021-04-23 01:59:10.000000,2021-04-23 01:59:04.000000,681,188.0,193.0,3595,109.0,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,20.0,14,True,,,,,,,,['pytorch'],2.0,2.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n811,StarSpace,facebookresearch/StarSpace,,ml-frameworks,https://github.com/facebookresearch/StarSpace,https://github.com/facebookresearch/StarSpace,MIT,2017-06-28 17:50:18.000000,2021-04-23 05:17:29.000000,2019-12-13 19:03:25.000000,494,50.0,146.0,3592,138.0,\"Learning embeddings for classification, retrieval and ranking.\",17.0,14,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n812,OpenNRE,thunlp/OpenNRE,,nlp,https://github.com/thunlp/OpenNRE,https://github.com/thunlp/OpenNRE,MIT,2017-02-26 07:37:12.000000,2021-03-09 04:16:47.000000,2021-03-09 04:16:47.000000,864,24.0,287.0,3074,139.0,An Open-Source Package for Neural Relation Extraction (NRE).,9.0,14,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n813,OpenKE,thunlp/OpenKE,,graph,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,MIT,2017-10-08 11:20:23.000000,2021-04-06 08:24:33.000000,2021-04-06 08:24:50.000000,776,64.0,229.0,2536,97.0,An Open-Source Package for Knowledge Embedding (KE).,10.0,14,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n814,GraphSAGE,williamleif/GraphSAGE,,graph,https://github.com/williamleif/GraphSAGE,https://github.com/williamleif/GraphSAGE,MIT,2017-05-29 15:36:22.000000,2021-02-02 21:46:42.000000,2018-09-19 19:27:00.000000,642,85.0,58.0,2286,59.0,Representation learning on large graphs using stochastic graph convolutions.,9.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n815,ZhuSuan,thu-ml/zhusuan,,probabilistics,https://github.com/thu-ml/zhusuan,https://github.com/thu-ml/zhusuan,MIT,2016-07-18 13:31:38.000000,2020-01-09 14:51:27.000000,2019-08-05 10:00:04.000000,389,8.0,53.0,2036,439.0,\"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.\",20.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n816,OpenNE,thunlp/OpenNE,,graph,https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20.000000,2021-03-22 13:16:57.000000,2019-08-12 10:56:27.000000,449,50.0,82.0,1453,98.0,An Open-Source Package for Network Embedding (NE).,10.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n817,AutoGL,THUMNLab/AutoGL,,graph,https://github.com/THUMNLab/AutoGL,https://github.com/THUMNLab/AutoGL,MIT,2020-11-30 14:26:22.000000,2021-04-29 11:40:58.000000,2021-04-10 10:49:50.000000,63,5.0,4.0,627,,An autoML framework & toolkit for machine learning on graphs.,5.0,14,True,2020-12-23 08:15:15.000000,0.1.1,2.0,auto-graph-learning,,,,['pytorch'],,,https://pypi.org/project/auto-graph-learning,2020-12-23 08:05:25.000000,,94.0,94.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n818,NeoML,neoml-lib/neoml,,ml-frameworks,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000000,2021-04-28 14:54:40.000000,2021-04-24 07:30:37.000000,84,36.0,13.0,586,313.0,Machine learning framework for both deep learning and traditional algorithms.,21.0,14,True,2020-06-14 17:44:03.000000,NeoML-master_1.0.1.0,1.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n819,Adversary,airbnb/artificial-adversary,,adversarial,https://github.com/airbnb/artificial-adversary,https://github.com/airbnb/artificial-adversary,MIT,2018-08-08 04:42:11.000000,2018-10-14 05:34:44.000000,2018-08-29 15:31:30.000000,51,6.0,,349,15.0,Tool to generate adversarial text examples and test machine learning models against them.,5.0,14,False,2018-08-29 15:14:41.000000,1.1.1,3.0,Adversary,,,,,6.0,6.0,https://pypi.org/project/Adversary,2018-08-29 15:14:41.000000,0.0,58.0,58.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n820,textvec,textvec/textvec,,nlp,https://github.com/textvec/textvec,https://github.com/textvec/textvec,MIT,2018-04-12 14:03:53.000000,2020-12-03 14:23:11.000000,2020-12-03 14:23:04.000000,21,2.0,6.0,168,70.0,Text vectorization tool to outperform TFIDF for classification tasks.,5.0,14,True,2019-09-12 07:41:04.000000,2.0,4.0,textvec,,,,['sklearn'],2.0,2.0,https://pypi.org/project/textvec,2020-12-03 14:17:09.000000,,155.0,155.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n821,ONNX-T5,abelriboulot/onnxt5,,nlp,https://github.com/abelriboulot/onnxt5,https://github.com/abelriboulot/onnxt5,Apache-2.0,2020-08-01 09:38:35.000000,2021-01-28 09:26:15.000000,2021-01-28 09:24:52.000000,19,5.0,6.0,148,74.0,\"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..\",3.0,14,False,2021-01-28 09:26:15.000000,0.1.8,11.0,onnxt5,,,,,,,https://pypi.org/project/onnxt5,2021-01-28 09:26:15.000000,,180.0,180.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n822,DeepNeuro,QTIM-Lab/DeepNeuro,,medical-data,https://github.com/QTIM-Lab/DeepNeuro,https://github.com/QTIM-Lab/DeepNeuro,MIT,2017-06-01 19:36:34.000000,2020-06-24 13:00:15.000000,2020-06-24 13:00:14.000000,32,27.0,16.0,101,285.0,A deep learning python package for neuroimaging data. Made by:.,6.0,14,False,2019-06-10 21:04:04.000000,0.2.3,6.0,deepneuro,,,,,1.0,1.0,https://pypi.org/project/deepneuro,2019-06-10 21:04:04.000000,,79.0,79.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n823,Hypermax,electricbrainio/hypermax,,hyperopt,https://github.com/electricbrainio/hypermax,https://github.com/electricbrainio/hypermax,BSD-3-Clause,2018-07-27 18:43:01.000000,2020-08-02 18:08:50.000000,2020-08-02 18:08:46.000000,15,3.0,1.0,96,207.0,\"Better, faster hyper-parameter optimization.\",9.0,14,False,2019-10-23 15:40:12.000000,0.5.1,11.0,hypermax,,,,,4.0,4.0,https://pypi.org/project/hypermax,2019-10-23 15:40:12.000000,,93.0,93.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n824,Attribution Priors,suinleelab/attributionpriors,,interpretability,https://github.com/suinleelab/attributionpriors,https://github.com/suinleelab/attributionpriors,MIT,2019-06-24 23:54:24.000000,2021-03-19 19:43:58.000000,2021-03-19 19:43:51.000000,6,1.0,3.0,74,72.0,Tools for training explainable models using attribution priors.,6.0,14,False,2021-03-16 17:47:18.000000,1.0.0,4.0,attributionpriors,,,,\"['tensorflow', 'pytorch']\",2.0,2.0,https://pypi.org/project/attributionpriors,2019-10-31 18:03:05.000000,,97.0,97.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n825,LazyCluster,ml-tooling/lazycluster,,distributed-ml,https://github.com/ml-tooling/lazycluster,https://github.com/ml-tooling/lazycluster,Apache-2.0,2019-08-07 08:05:13.000000,2021-04-06 18:36:57.000000,2020-12-14 15:24:53.000000,6,,,37,,Distributed machine learning made simple.,2.0,14,False,2020-12-14 15:25:59.000000,0.2.4,5.0,lazycluster,,,,,3.0,3.0,https://pypi.org/project/lazycluster,2020-12-14 14:49:33.000000,,209.0,209.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n826,nptsne,biovault/nptsne,,data-viz,https://github.com/biovault/nptsne,https://github.com/biovault/nptsne,Apache-2.0,2019-06-28 08:40:25.000000,2021-03-08 15:54:27.000000,2021-02-03 08:52:27.000000,2,6.0,5.0,25,857.0,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,3.0,14,False,2020-09-10 23:54:14.000000,1.1.0,2.0,nptsne,,,,,2.0,2.0,https://pypi.org/project/nptsne,2020-09-10 23:54:14.000000,,207.0,207.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n827,ENAS,carpedm20/ENAS-pytorch,,hyperopt,https://github.com/carpedm20/ENAS-pytorch,https://github.com/carpedm20/ENAS-pytorch,Apache-2.0,2018-02-15 04:54:37.000000,2020-12-09 18:13:03.000000,2020-06-16 07:23:32.000000,448,37.0,7.0,2426,53.0,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,6.0,13,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n828,micrograd,karpathy/micrograd,,pytorch-utils,https://github.com/karpathy/micrograd,https://github.com/karpathy/micrograd,MIT,2020-04-13 04:31:18.000000,2020-12-18 12:55:50.000000,2020-04-18 19:15:25.000000,125,2.0,3.0,1644,24.0,A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.,2.0,13,True,2020-04-18 19:06:59.000000,0.1.0,1.0,micrograd,,,,['pytorch'],1.0,1.0,https://pypi.org/project/micrograd,2020-04-18 19:06:59.000000,0.0,29.0,29.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n829,Medical Detection Toolkit,MIC-DKFZ/medicaldetectiontoolkit,,medical-data,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,Apache-2.0,2018-10-12 12:34:57.000000,2021-03-30 11:54:29.000000,2021-03-30 11:54:21.000000,239,28.0,85.0,945,37.0,\"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..\",3.0,13,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n830,bias-detector,intuit/bias-detector,,interpretability,https://github.com/intuit/bias-detector,https://github.com/intuit/bias-detector,MIT,2021-02-02 16:58:52.000000,2021-04-25 07:32:29.000000,2021-04-25 07:32:20.000000,4,,,21,,Bias Detector is a python package for detecting bias in machine learning models.,3.0,13,False,2021-04-22 15:20:54.000000,0.0.12,11.0,bias-detector,,,,,,,https://pypi.org/project/bias-detector,2021-04-22 15:20:54.000000,,342.0,342.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n831,surpriver,tradytics/surpriver,,financial-data,https://github.com/tradytics/surpriver,https://github.com/tradytics/surpriver,GPL-3.0,2020-08-30 07:56:22.000000,2020-11-13 00:48:16.000000,2020-09-21 04:32:05.000000,221,10.0,5.0,1196,64.0,Find big moving stocks before they move using machine learning and anomaly detection.,6.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n832,MedicalNet,Tencent/MedicalNet,,medical-data,https://github.com/Tencent/MedicalNet,https://github.com/Tencent/MedicalNet,MIT,2019-07-17 09:53:10.000000,2020-08-27 13:37:27.000000,2020-08-27 13:37:26.000000,302,45.0,14.0,1102,26.0,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,1.0,12,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n833,GraphVite,DeepGraphLearning/graphvite,,graph,https://github.com/DeepGraphLearning/graphvite,https://github.com/DeepGraphLearning/graphvite,Apache-2.0,2019-07-16 15:48:20.000000,2021-01-14 02:19:03.000000,2021-01-14 02:18:46.000000,122,29.0,55.0,895,15.0,GraphVite: A General and High-performance Graph Embedding System.,1.0,12,True,,,4.0,,milagraph/graphvite,,,,,,,,,,184.0,https://anaconda.org/milagraph/graphvite,2020-03-19 18:21:30.972000,3690.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n834,featurewiz,AutoViML/featurewiz,,hyperopt,https://github.com/AutoViML/featurewiz,https://github.com/AutoViML/featurewiz,Apache-2.0,2020-11-29 16:46:16.000000,2021-04-26 20:51:16.000000,2021-04-26 20:50:54.000000,15,2.0,,51,,Use advanced feature engineering strategies and select the best features from your data set fast with a single line of..,1.0,12,False,2021-03-25 14:45:32.000000,0.0.32,33.0,featurewiz,,,,,,,https://pypi.org/project/featurewiz,2021-03-26 02:07:46.000000,,1031.0,1031.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n835,traintool,jrieke/traintool,,ml-experiments,https://github.com/jrieke/traintool,https://github.com/jrieke/traintool,Apache-2.0,2020-09-30 22:23:05.000000,2021-03-12 01:44:04.000000,2021-03-12 01:43:14.000000,1,,,9,122.0,Train off-the-shelf machine learning models in one line of code.,,12,False,2020-11-02 02:25:32.000000,0.0.3,3.0,traintool,,,,\"['pytorch', 'tensorflow', 'sklearn']\",,,https://pypi.org/project/traintool,2020-11-02 02:25:32.000000,,41.0,41.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n836,Devol,joeddav/devol,,hyperopt,https://github.com/joeddav/devol,https://github.com/joeddav/devol,MIT,2017-02-10 03:07:54.000000,2020-07-05 21:56:59.000000,2020-07-05 21:56:58.000000,109,7.0,20.0,930,116.0,Genetic neural architecture search with Keras.,18.0,11,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n837,PySparNN,facebookresearch/pysparnn,,nn-search,https://github.com/facebookresearch/pysparnn,https://github.com/facebookresearch/pysparnn,BSD-3-Clause,2016-03-28 20:43:42.000000,2020-10-02 06:01:01.000000,2018-01-31 16:50:23.000000,142,14.0,14.0,866,147.0,Approximate Nearest Neighbor Search for Sparse Data in Python!.,5.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n838,Hypertunity,gdikov/hypertunity,,hyperopt,https://github.com/gdikov/hypertunity,https://github.com/gdikov/hypertunity,Apache-2.0,2019-06-02 12:04:55.000000,2020-01-26 23:14:49.000000,2020-01-26 22:53:29.000000,9,,2.0,121,64.0,A toolset for black-box hyperparameter optimisation.,2.0,11,False,2020-01-26 23:08:16.000000,1.0.1,7.0,hypertunity,,,,,2.0,2.0,https://pypi.org/project/hypertunity,2020-01-26 23:08:16.000000,,46.0,46.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n839,traingenerator,jrieke/traingenerator,,others,https://github.com/jrieke/traingenerator,https://github.com/jrieke/traingenerator,MIT,2020-12-03 16:47:16.000000,2021-04-29 13:51:46.000000,2021-04-29 13:46:13.000000,130,9.0,3.0,982,,A web app to generate template code for machine learning.,3.0,10,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n840,Mozart,aashrafh/Mozart,,ocr,https://github.com/aashrafh/Mozart,https://github.com/aashrafh/Mozart,Apache-2.0,2020-12-14 11:49:14.000000,2021-04-04 17:30:24.000000,2021-04-04 17:30:24.000000,40,1.0,2.0,254,,An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.,5.0,10,True,,,,,,,,['sklearn'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n841,bodywork-core,bodywork-ml/bodywork-core,,data-pipelines,https://github.com/bodywork-ml/bodywork-core,https://github.com/bodywork-ml/bodywork-core,AGPL-3.0,2020-11-17 11:38:17.000000,2021-04-29 01:51:18.000000,2021-04-25 07:39:03.000000,11,8.0,17.0,201,279.0,MLOps tool for deploying machine learning projects to Kubernetes.,4.0,10,False,,,,bodywork-core,,,,,1.0,1.0,https://pypi.org/project/bodywork-core,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n"
  },
  {
    "path": "history/2021-05-13_changes.md",
    "content": "## 📈 Trending Up\n\n_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._\n\n- <b><a href=\"https://github.com/google/jax\">jax</a></b> (🥈34 ·  ⭐ 13K · 📈) - Composable transformations of Python+NumPy programs: differentiate,.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/tensorflow/tensor2tensor\">tensor2tensor</a></b> (🥇33 ·  ⭐ 11K · 📈) - Library of deep learning models and datasets designed.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/facebookresearch/fastText\">fastText</a></b> (🥇31 ·  ⭐ 23K · 💤) - Library for fast text representation and classification. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/mozilla/DeepSpeech\">DeepSpeech</a></b> (🥇31 ·  ⭐ 17K · 📈) - DeepSpeech is an open source embedded (offline, on-.. <code><a href=\"http://bit.ly/3postzC\">MPL-2.0</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/flairNLP/flair\">flair</a></b> (🥇31 ·  ⭐ 10K · 📈) - A very simple framework for state-of-the-art Natural Language.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/google/dopamine\">Dopamine</a></b> (🥇30 ·  ⭐ 9.4K · 📈) - Dopamine is a research framework for fast prototyping of.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/life4/textdistance\">TextDistance</a></b> (🥉25 ·  ⭐ 2K · 📈) - Compute distance between sequences. 30+ algorithms, pure python.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/tensortrade-org/tensortrade\">TensorTrade</a></b> (🥈24 ·  ⭐ 3.2K · 📈) - An open source reinforcement learning framework for.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/NifTK/NiftyNet\">NiftyNet</a></b> (🥉22 ·  ⭐ 1.3K · 💀) - [unmaintained] An open-source convolutional neural.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/Trusted-AI/AIX360\">Explainability 360</a></b> (🥈22 ·  ⭐ 830 · 📈) - Interpretability and explainability of data and.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n\n## 📉 Trending Down\n\n_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._\n\n- <b><a href=\"https://github.com/apple/coremltools\">Core ML Tools</a></b> (🥈24 ·  ⭐ 2.2K · 📉) - Core ML tools contain supporting tools for Core ML model.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/annoviko/pyclustering\">pyclustering</a></b> (🥈24 ·  ⭐ 830 · 📉) - pyclustring is a Python, C++ data mining library. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/fastnlp/fastNLP\">fastNLP</a></b> (🥉23 ·  ⭐ 2.1K · 📉) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/tableau/TabPy\">TabPy</a></b> (🥉23 ·  ⭐ 1.1K · 📉) - Execute Python code on the fly and display results in Tableau.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/pytroll/satpy\">Satpy</a></b> (🥉21 ·  ⭐ 700 · 📉) - Python package for earth-observing satellite data processing. <code><a href=\"http://bit.ly/2M0xdwT\">❗️GPL-3.0</a></code>\n- <b><a href=\"https://github.com/instacart/lore\">lore</a></b> (🥉20 ·  ⭐ 1.5K · 💤) - Lore makes machine learning approachable for Software Engineers and.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/fairlearn/fairlearn\">fairlearn</a></b> (🥉20 ·  ⭐ 790 · 📉) - A Python package to assess and improve fairness of machine.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/xhochy/fletcher\">fletcher</a></b> (🥉19 ·  ⭐ 210 · 📉) - Pandas ExtensionDType/Array backed by Apache Arrow. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1S\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/nok/sklearn-porter\">sklearn-porter</a></b> (🥉16 ·  ⭐ 1K · 💀) - Transpile trained scikit-learn estimators to C, Java,.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/ScottfreeLLC/AlphaPy\">AlphaPy</a></b> (🥉15 ·  ⭐ 590 · 📉) - Automated Machine Learning [AutoML] with Python, scikit-learn,.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n\n## ➕ Added Projects\n\n_Projects that were recently added to this best-of list._\n\n- <b><a href=\"https://github.com/KinWaiCheuk/nnAudio\">nnAudio</a></b> (🥉20 ·  ⭐ 460 · ➕) - Audio processing by using pytorch 1D convolution network. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/ml-tooling/opyrator\">opyrator</a></b> (🥉17 ·  ⭐ 2.1K · 🐣) - Turns your machine learning code into microservices with web API,.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n\n"
  },
  {
    "path": "history/2021-05-13_projects.csv",
    "content": 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Benchmarks,erikbern/ann-benchmarks,True,nn-search,https://github.com/erikbern/ann-benchmarks,https://github.com/erikbern/ann-benchmarks,MIT,2015-05-28 13:21:43.000000,2021-05-12 13:59:34.000000,2021-04-27 02:35:03.000000,359,32.0,61.0,2218,1192.0,Benchmarks of approximate nearest neighbor libraries in Python.,56.0,0,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n1,best-of-web-python - Web Scraping,ml-tooling/best-of-web-python,True,web-scraping,https://github.com/ml-tooling/best-of-web-python,https://github.com/ml-tooling/best-of-web-python,CC-BY-SA-4.0,2021-01-05 13:09:27.000000,2021-05-13 14:23:19.000000,2021-04-29 16:28:53.000000,78,,2.0,1203,,Collection of web-scraping and crawling libraries.,6.0,0,True,2021-04-29 16:29:15.000000,2021.04.29,15.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n2,best-of-python - DB Clients,ml-tooling/best-of-python,True,db-clients,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#database-clients,CC-BY-SA-4.0,2021-01-11 19:11:32.000000,2021-05-13 15:13:19.000000,2021-04-29 16:28:15.000000,125,1.0,3.0,1624,,Collection of database clients for python.,5.0,0,True,2021-04-29 16:28:23.000000,2021.04.29,15.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n3,Tensorflow,tensorflow/tensorflow,,ml-frameworks,https://github.com/tensorflow/tensorflow,https://github.com/tensorflow/tensorflow,Apache-2.0,2015-11-07 01:19:20.000000,2021-05-13 13:53:33.000000,2021-05-13 12:13:56.000000,84523,4009.0,27713.0,157642,110431.0,An Open Source Machine Learning Framework for Everyone.,3650.0,44,True,2021-01-21 19:55:54.000000,2.4.1,120.0,tensorflow,conda-forge/tensorflow,tensorflow/tensorflow,https://www.tensorflow.org/overview,['tensorflow'],159159.0,136635.0,https://pypi.org/project/tensorflow,2021-05-05 18:47:17.000000,22524.0,10910290.0,11735999.0,https://anaconda.org/conda-forge/tensorflow,2021-04-30 05:11:44.185000,2539061.0,https://hub.docker.com/r/tensorflow/tensorflow,2021-05-13 13:33:15.301528,1901.0,51793997.0,1.0,,,,,,,,,,,,,,,,,,,,,,,\n4,pandas,pandas-dev/pandas,,data-containers,https://github.com/pandas-dev/pandas,https://github.com/pandas-dev/pandas,BSD-3-Clause,2010-08-24 01:37:33.000000,2021-05-13 15:04:24.000000,2021-05-13 13:43:03.000000,12323,3700.0,16994.0,29677,26771.0,\"Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R..\",2672.0,43,True,2021-04-12 18:43:31.000000,1.2.4,91.0,pandas,conda-forge/pandas,,,['pandas'],519290.0,442506.0,https://pypi.org/project/pandas,2021-04-12 18:43:31.000000,76784.0,48108906.0,48380336.0,https://anaconda.org/conda-forge/pandas,2021-04-13 16:22:06.030000,16213337.0,,,,,1.0,106379.0,,,,,,,,,,,,,,,,,,,,,,\n5,scipy,scipy/scipy,,others,https://github.com/scipy/scipy,https://github.com/scipy/scipy,BSD-3-Clause,2011-03-09 18:52:03.000000,2021-05-13 13:44:18.000000,2021-05-13 13:44:18.000000,3678,1648.0,5900.0,8229,25583.0,\"Ecosystem of open-source software for mathematics, science, and engineering.\",1157.0,42,True,2021-04-26 02:11:23.000000,1.6.3,63.0,scipy,conda-forge/scipy,,,,428352.0,341490.0,https://pypi.org/project/scipy,2021-04-26 00:22:45.000000,86862.0,29604752.0,29850477.0,https://anaconda.org/conda-forge/scipy,2021-04-27 23:19:03.675000,14471837.0,,,,,1.0,317024.0,,,,,,,,,,,,,,,,,,,,,,\n6,PyTorch,pytorch/pytorch,,ml-frameworks,https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41.000000,2021-05-13 13:54:41.000000,2021-05-13 13:42:29.000000,12681,8648.0,14042.0,48158,36678.0,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,2666.0,41,True,2021-03-25 16:07:08.000000,1.8.1,32.0,torch,pytorch/pytorch,,https://pytorch.org/docs/stable/index.html,['pytorch'],82328.0,75646.0,https://pypi.org/project/torch,2021-03-25 15:54:32.000000,6682.0,3779895.0,4042599.0,https://anaconda.org/pytorch/pytorch,2021-03-25 16:42:58.661000,11033584.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n7,Matplotlib,matplotlib/matplotlib,,data-viz,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,Python-2.0,2011-02-19 03:17:12.000000,2021-05-13 14:23:19.000000,2021-05-13 14:23:19.000000,5785,1703.0,6207.0,13614,39001.0,matplotlib: plotting with Python.,1229.0,41,True,2021-05-08 05:47:47.000000,3.4.2,68.0,matplotlib,conda-forge/matplotlib,,,,447268.0,368164.0,https://pypi.org/project/matplotlib,2021-05-08 05:47:47.000000,79104.0,20162671.0,20292762.0,https://anaconda.org/conda-forge/matplotlib,2021-05-10 22:47:57.893000,8846228.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n8,Pillow,python-pillow/Pillow,,image,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000000,2021-05-13 12:43:45.000000,2021-05-13 12:43:45.000000,1621,214.0,2002.0,8511,11698.0,The friendly PIL fork (Python Imaging Library).,358.0,40,True,2021-04-01 20:55:51.000000,8.2.0,80.0,Pillow,conda-forge/pillow,,,,573687.0,462261.0,https://pypi.org/project/Pillow,2021-04-01 20:53:21.000000,111426.0,30842902.0,30980562.0,https://anaconda.org/conda-forge/pillow,2021-04-08 13:38:34.408000,8397267.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n9,Celery,celery/celery,,data-pipelines,https://github.com/celery/celery,https://github.com/celery/celery,BSD-3-Clause,2009-04-24 11:31:24.000000,2021-05-13 12:43:34.000000,2021-05-13 03:40:52.000000,3994,494.0,3998.0,17248,11594.0,Asynchronous task queue/job queue based on distributed message passing.,1113.0,39,True,2021-05-02 13:32:41.000000,5.1.0b2,173.0,celery,conda-forge/celery,,,,80852.0,52618.0,https://pypi.org/project/celery,2021-05-02 10:06:32.000000,28234.0,5119300.0,5127135.0,https://anaconda.org/conda-forge/celery,2021-03-24 04:34:11.646000,485789.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n10,PySpark,apache/spark,,ml-frameworks,https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08.000000,2021-05-13 14:07:05.000000,2021-05-13 14:06:57.000000,23545,218.0,,29639,30045.0,Apache Spark Python API.,2455.0,38,True,2021-02-19 18:08:00.000000,3.0.2,22.0,pyspark,conda-forge/pyspark,,,['spark'],1347.0,587.0,https://pypi.org/project/pyspark,2021-02-19 18:08:00.000000,760.0,10015005.0,10035711.0,https://anaconda.org/conda-forge/pyspark,2021-03-04 09:44:05.675000,1035335.0,,,,,1.0,,stable/spark,,,,,,,,,,,,,,,,,,,,,\n11,numpy,numpy/numpy,,data-containers,https://github.com/numpy/numpy,https://github.com/numpy/numpy,BSD-3-Clause,2010-09-13 23:02:39.000000,2021-05-13 15:04:37.000000,2021-05-13 07:22:42.000000,5503,2277.0,7516.0,17134,,The fundamental package for scientific computing with Python.,1329.0,38,True,2021-05-10 15:39:14.000000,1.20.3,98.0,numpy,conda-forge/numpy,,,,875534.0,705812.0,https://pypi.org/project/numpy,2021-05-10 15:17:40.000000,169722.0,73142201.0,73467111.0,https://anaconda.org/conda-forge/numpy,2021-03-28 21:35:26.037000,19117271.0,,,,,1.0,339644.0,,,,,,,,,,,,,,,,,,,,,,\n12,scikit-learn,scikit-learn/scikit-learn,,ml-frameworks,https://github.com/scikit-learn/scikit-learn,https://github.com/scikit-learn/scikit-learn,BSD-3-Clause,2010-08-17 09:43:38.000000,2021-05-13 13:53:35.000000,2021-05-13 13:10:54.000000,21401,2368.0,6874.0,45709,,scikit-learn: machine learning in Python.,2215.0,37,True,2021-04-28 17:20:23.000000,0.24.2,54.0,scikit-learn,conda-forge/scikit-learn,,,['sklearn'],257752.0,219864.0,https://pypi.org/project/scikit-learn,2021-04-28 11:18:29.000000,37888.0,23153019.0,23285571.0,https://anaconda.org/conda-forge/scikit-learn,2021-04-28 21:30:13.539000,7952512.0,,,,,1.0,690.0,,,,,,,,,,,,,,,,,,,,,,\n13,XGBoost,dmlc/xgboost,,ml-frameworks,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000000,2021-05-13 11:49:10.000000,2021-05-12 20:34:59.000000,7983,296.0,3759.0,20982,5327.0,\"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..\",518.0,37,True,2021-05-13 11:35:17.000000,1.4.2,57.0,xgboost,conda-forge/xgboost,,https://xgboost.readthedocs.io/en/latest/,,18412.0,16820.0,https://pypi.org/project/xgboost,2021-05-13 11:49:10.000000,1592.0,5234772.0,5267175.0,https://anaconda.org/conda-forge/xgboost,2021-04-29 20:56:44.761000,1618781.0,,,,,1.0,2450.0,,,,,,,,,,,,,,,,,,,,,,\n14,spaCy,explosion/spaCy,,nlp,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000000,2021-05-12 22:36:31.000000,2021-05-11 15:10:16.000000,3403,115.0,4520.0,20419,14489.0,Industrial-strength Natural Language Processing (NLP) in Python.,580.0,37,True,2021-04-23 12:16:12.000000,3.0.6,177.0,spacy,conda-forge/spacy,,,,27901.0,24835.0,https://pypi.org/project/spacy,2021-04-23 12:16:12.000000,3066.0,2003932.0,2043950.0,https://anaconda.org/conda-forge/spacy,2021-04-24 09:37:43.886000,2038189.0,,,,,1.0,3020.0,,,,,,,,,,,,,,,,,,,,,,\n15,Faker,joke2k/faker,,data-loading,https://github.com/joke2k/faker,https://github.com/joke2k/faker,MIT,2012-11-12 23:00:09.000000,2021-05-13 15:08:00.000000,2021-05-13 15:07:59.000000,1419,147.0,365.0,12506,2630.0,Faker is a Python package that generates fake data for you.,400.0,37,True,2021-05-10 16:19:10.000000,8.1.3,138.0,Faker,conda-forge/faker,,,,32249.0,27537.0,https://pypi.org/project/Faker,2021-05-10 15:04:40.000000,4712.0,4161045.0,4169522.0,https://anaconda.org/conda-forge/faker,2021-05-10 17:39:25.233000,423864.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n16,Seaborn,mwaskom/seaborn,,data-viz,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000000,2021-05-13 12:14:04.000000,2021-05-13 12:13:47.000000,1410,97.0,1762.0,8405,2779.0,Statistical data visualization using matplotlib.,152.0,37,True,2021-03-29 17:36:25.000000,joss_paper,23.0,seaborn,conda-forge/seaborn,,,,107304.0,94518.0,https://pypi.org/project/seaborn,2020-12-20 20:53:25.000000,12786.0,5066795.0,5107761.0,https://anaconda.org/conda-forge/seaborn,2021-01-28 11:50:33.609000,2335036.0,,,,,1.0,161.0,,,,,,,,,,,,,,,,,,,,,,\n17,transformers,huggingface/transformers,,nlp,https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000000,2021-05-13 14:08:44.000000,2021-05-13 11:02:27.000000,10913,441.0,6373.0,45885,7180.0,Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.,875.0,36,True,2021-05-12 15:07:35.000000,4.6.0,57.0,transformers,conda-forge/transformers,,,\"['pytorch', 'tensorflow']\",10899.0,10771.0,https://pypi.org/project/transformers,2021-05-12 15:07:07.000000,128.0,2258260.0,2260360.0,https://anaconda.org/conda-forge/transformers,2021-05-12 18:53:50.974000,39093.0,,,,,1.0,1318.0,,,,,,,,,,,,,,,,,,,,,,\n18,OpenAI Gym,openai/gym,,reinforcement-learning,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16.000000,2021-05-09 14:49:47.000000,2021-04-06 15:18:55.000000,6928,300.0,1069.0,24161,1244.0,A toolkit for developing and comparing reinforcement learning algorithms.,275.0,36,True,2020-12-19 00:29:36.000000,0.18.0,92.0,gym,,,,,23700.0,20138.0,https://pypi.org/project/gym,2020-12-19 00:29:36.000000,3562.0,937665.0,937665.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n19,Airflow,apache/airflow,,data-pipelines,https://github.com/apache/airflow,https://github.com/apache/airflow,Apache-2.0,2015-04-13 18:04:58.000000,2021-05-13 15:18:57.000000,2021-05-13 14:48:36.000000,8447,943.0,2465.0,21695,12361.0,\"Platform to programmatically author, schedule, and monitor workflows.\",1863.0,36,True,2021-04-19 21:11:50.000000,2.0.2,75.0,apache-airflow,conda-forge/airflow,apache/airflow,,,294.0,,https://pypi.org/project/apache-airflow,2021-04-19 20:59:24.000000,294.0,1672408.0,1964625.0,https://anaconda.org/conda-forge/airflow,2021-04-20 10:47:28.101000,321355.0,https://hub.docker.com/r/apache/airflow,2021-05-08 17:24:28.656060,240.0,20709881.0,1.0,126007.0,stable/airflow,,,,,,,,,,,,,,,,,,,,,\n20,LightGBM,microsoft/LightGBM,,ml-frameworks,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000000,2021-05-13 11:54:27.000000,2021-05-13 03:35:22.000000,3273,104.0,2142.0,12511,2499.0,\"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..\",223.0,36,True,2021-04-12 23:03:24.000000,3.2.1,25.0,lightgbm,conda-forge/lightgbm,,,,7465.0,6909.0,https://pypi.org/project/lightgbm,2021-03-22 15:04:09.000000,556.0,3904127.0,3919066.0,https://anaconda.org/conda-forge/lightgbm,2021-04-20 13:04:15.819000,582539.0,,,,,1.0,111557.0,,,,,,,,,,,,,,,,,,,,,,\n21,gensim,RaRe-Technologies/gensim,,nlp,https://github.com/RaRe-Technologies/gensim,https://github.com/RaRe-Technologies/gensim,LGPL-2.1,2011-02-10 07:43:04.000000,2021-05-13 02:10:24.000000,2021-05-13 02:10:24.000000,3984,364.0,1292.0,12048,4144.0,Topic Modelling for Humans.,397.0,36,True,2021-04-01 14:19:26.000000,4.0.1,85.0,gensim,conda-forge/gensim,,,,28065.0,23323.0,https://pypi.org/project/gensim,2021-03-25 13:43:34.000000,4742.0,10805032.0,10819791.0,https://anaconda.org/conda-forge/gensim,2021-04-02 10:56:03.560000,647205.0,,,,,1.0,3304.0,,,,,,,,,,,,,,,,,,,,,,\n22,Plotly,plotly/plotly.py,,data-viz,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000000,2021-05-11 00:43:42.000000,2021-05-11 00:43:42.000000,1791,865.0,1085.0,9478,4969.0,The interactive graphing library for Python (includes Plotly Express).,171.0,36,True,2021-01-12 17:01:21.000000,4.14.3,265.0,plotly,conda-forge/plotly,,,,4991.0,5.0,https://pypi.org/project/plotly,2021-01-12 16:12:40.000000,4982.0,5348987.0,5408363.0,https://anaconda.org/conda-forge/plotly,2021-01-12 17:11:42.117000,1374797.0,,,,,1.0,,,plotlywidget,https://www.npmjs.com/package/plotlywidget,2021-01-12 16:09:46.133000,4.0,35257.0,,,,,,,,,,,,,,,,\n23,torchvision,pytorch/vision,,image,https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000000,2021-05-13 14:26:53.000000,2021-05-13 09:41:41.000000,4664,469.0,1249.0,9044,1692.0,\"Datasets, Transforms and Models specific to Computer Vision.\",381.0,36,True,2021-03-25 17:51:25.000000,0.9.1,23.0,torchvision,conda-forge/torchvision,,,['pytorch'],54239.0,49627.0,https://pypi.org/project/torchvision,2021-03-25 16:28:06.000000,4612.0,1504305.0,1505751.0,https://anaconda.org/conda-forge/torchvision,2021-04-22 07:21:30.407000,59323.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n24,Arrow,apache/arrow,,data-containers,https://github.com/apache/arrow,https://github.com/apache/arrow,Apache-2.0,2016-02-17 08:00:23.000000,2021-05-13 15:06:18.000000,2021-05-13 14:07:49.000000,1896,152.0,594.0,7890,9213.0,Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-..,675.0,36,True,2021-01-26 01:05:45.000000,3.0.0,31.0,pyarrow,conda-forge/arrow,,,,1027.0,41.0,https://pypi.org/project/pyarrow,2021-04-26 21:13:42.000000,986.0,27978841.0,27988377.0,https://anaconda.org/conda-forge/arrow,2021-05-06 18:27:26.800000,572182.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n25,Tensorboard,tensorflow/tensorboard,,ml-experiments,https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000000,2021-05-13 11:37:49.000000,2021-05-13 11:37:49.000000,1391,552.0,972.0,5481,4495.0,TensorFlow's Visualization Toolkit.,258.0,36,True,2021-04-19 18:42:18.000000,2.5.0,37.0,tensorboard,conda-forge/tensorboard,,,['tensorflow'],67428.0,63814.0,https://pypi.org/project/tensorboard,2021-01-14 20:49:19.000000,3614.0,10218478.0,10265271.0,https://anaconda.org/conda-forge/tensorboard,2021-01-15 08:30:57.960000,1965335.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n26,joblib,joblib/joblib,,data-pipelines,https://github.com/joblib/joblib,https://github.com/joblib/joblib,BSD-3-Clause,2010-05-07 06:48:26.000000,2021-05-05 13:35:51.000000,2021-04-02 12:08:27.000000,286,291.0,358.0,2438,1370.0,Computing with Python functions.,99.0,36,True,2021-02-09 16:46:29.000000,1.0.1,100.0,joblib,conda-forge/joblib,,,,107102.0,100492.0,https://pypi.org/project/joblib,2021-02-09 16:46:29.000000,6610.0,24974411.0,25043392.0,https://anaconda.org/conda-forge/joblib,2021-02-09 19:26:28.194000,4000925.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n27,h5py,h5py/h5py,,data-containers,https://github.com/h5py/h5py,https://github.com/h5py/h5py,BSD-3-Clause,2012-09-21 00:40:02.000000,2021-05-11 01:45:49.000000,2021-04-28 16:45:14.000000,399,217.0,982.0,1516,3623.0,HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.,162.0,36,True,2021-03-05 10:04:46.000000,3.2.1,27.0,h5py,conda-forge/h5py,,,,137268.0,114332.0,https://pypi.org/project/h5py,2021-03-05 10:24:13.000000,22936.0,9820280.0,9903567.0,https://anaconda.org/conda-forge/h5py,2021-04-16 22:09:04.226000,5162508.0,,,,,1.0,1059.0,,,,,,,,,,,,,,,,,,,,,,\n28,dash,plotly/dash,,data-viz,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000000,2021-05-12 22:15:42.000000,2021-05-07 22:05:39.000000,1467,444.0,579.0,14497,3544.0,\"Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.\",75.0,35,True,2021-04-08 22:35:48.000000,1.20.0,137.0,dash,conda-forge/dash,,,,21875.0,20267.0,https://pypi.org/project/dash,2021-01-19 23:50:28.000000,1608.0,471615.0,478498.0,https://anaconda.org/conda-forge/dash,2021-04-10 06:31:33.446000,247800.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n29,nltk,nltk/nltk,,nlp,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58.000000,2021-05-13 10:42:01.000000,2021-05-13 10:42:01.000000,2467,235.0,1247.0,9863,,Suite of libraries and programs for symbolic and statistical natural language processing for English.,396.0,35,True,2021-04-07 21:36:50.000000,3.6.1,41.0,nltk,conda-forge/nltk,,,,120717.0,99725.0,https://pypi.org/project/nltk,2021-04-07 21:36:50.000000,20992.0,9559580.0,9571842.0,https://anaconda.org/conda-forge/nltk,2021-04-20 15:34:03.018000,698986.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n30,networkx,networkx/networkx,,graph,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44.000000,2021-05-13 09:53:03.000000,2021-05-13 05:42:00.000000,2286,286.0,2345.0,9066,,Network Analysis in Python.,512.0,35,True,2021-04-03 22:22:02.000000,2.5.1,53.0,networkx,conda-forge/networkx,,,,95049.0,74231.0,https://pypi.org/project/networkx,2021-04-03 22:22:02.000000,20818.0,12638975.0,12704069.0,https://anaconda.org/conda-forge/networkx,2021-04-04 01:32:23.917000,3580200.0,,,,,1.0,54.0,,,,,,,,,,,,,,,,,,,,,,\n31,SymPy,sympy/sympy,,others,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000000,2021-05-13 15:23:04.000000,2021-05-13 08:18:35.000000,3371,4150.0,7320.0,8079,46807.0,A computer algebra system written in pure Python.,1062.0,35,True,2021-04-09 22:38:24.000000,sympy-1.8,37.0,sympy,conda-forge/sympy,,,,38093.0,31671.0,https://pypi.org/project/sympy,2021-04-09 22:41:01.000000,6422.0,1464603.0,1493403.0,https://anaconda.org/conda-forge/sympy,2021-04-10 01:00:41.286000,1457815.0,,,,,1.0,423462.0,,,,,,,,,,,,,,,,,,,,,,\n32,MXNet,apache/incubator-mxnet,,ml-frameworks,https://github.com/apache/incubator-mxnet,https://github.com/apache/incubator-mxnet,Apache-2.0,2015-04-30 16:21:15.000000,2021-05-13 11:39:37.000000,2021-05-08 00:26:15.000000,6832,1880.0,7625.0,19454,11592.0,\"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..\",958.0,34,True,2021-03-21 14:56:00.000000,1.8.0,980.0,mxnet,mxnet,,,['mxnet'],2458.0,2014.0,https://pypi.org/project/mxnet,2021-03-31 20:05:38.000000,444.0,231525.0,232071.0,https://anaconda.org/anaconda/mxnet,2020-02-29 00:58:31.007000,6150.0,,,,,2.0,23770.0,,,,,,,0.0,,,,,,,,,,,,,,,\n33,luigi,spotify/luigi,,data-pipelines,https://github.com/spotify/luigi,https://github.com/spotify/luigi,Apache-2.0,2012-09-20 15:06:38.000000,2021-05-06 08:03:59.000000,2021-04-16 07:52:49.000000,2246,73.0,843.0,14533,3993.0,\"Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution,..\",556.0,34,True,2021-04-16 09:12:59.000000,3.0.3,72.0,luigi,luigi,,,,2102.0,1426.0,https://pypi.org/project/luigi,2020-09-23 11:57:12.000000,676.0,864483.0,864596.0,https://anaconda.org/anaconda/luigi,2021-04-17 18:49:18.708000,7141.0,,,,,1.0,,stable/luigi,,,,,,0.0,,,,,,,,,,,,,,,\n34,jax,google/jax,,ml-frameworks,https://github.com/google/jax,https://github.com/google/jax,Apache-2.0,2018-10-25 21:25:02.000000,2021-05-13 13:47:34.000000,2021-05-13 13:02:16.000000,1148,774.0,1629.0,12651,7955.0,\"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.\",282.0,34,True,2021-05-04 00:58:32.000000,0.2.13,92.0,jax,conda-forge/jaxlib,,,,1607.0,1561.0,https://pypi.org/project/jax,2021-05-04 00:58:32.000000,46.0,444327.0,449687.0,https://anaconda.org/conda-forge/jaxlib,2021-05-12 04:34:20.634000,117928.0,,,,,2.0,,,,,,,,,2.0,,,,,,,,,,,,,,\n35,shap,slundberg/shap,,interpretability,https://github.com/slundberg/shap,https://github.com/slundberg/shap,MIT,2016-11-22 19:17:08.000000,2021-05-11 11:29:21.000000,2021-04-06 00:10:26.000000,1825,1041.0,523.0,12610,1927.0,A game theoretic approach to explain the output of any machine learning model.,156.0,34,True,2021-03-03 18:38:33.000000,0.39.0,93.0,shap,conda-forge/shap,,,,2652.0,2516.0,https://pypi.org/project/shap,2021-01-15 21:02:34.000000,136.0,2828553.0,2843444.0,https://anaconda.org/conda-forge/shap,2021-04-29 12:11:05.706000,491434.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n36,onnx,onnx/onnx,,model-serialisation,https://github.com/onnx/onnx,https://github.com/onnx/onnx,Apache-2.0,2017-09-07 04:53:45.000000,2021-05-13 12:46:36.000000,2021-05-11 16:51:22.000000,1915,543.0,1028.0,10315,1746.0,Open standard for machine learning interoperability.,199.0,34,True,2021-04-19 19:22:57.000000,1.9.0,21.0,onnx,conda-forge/onnx,,,,3355.0,3059.0,https://pypi.org/project/onnx,2021-04-19 19:22:57.000000,296.0,1266920.0,1272746.0,https://anaconda.org/conda-forge/onnx,2021-05-08 08:02:42.009000,231440.0,,,,,1.0,13618.0,,,,,,,,,,,,,,,,,,,,,,\n37,Theano,Theano/Theano,,ml-frameworks,https://github.com/Theano/Theano,https://github.com/Theano/Theano,BSD-3-Clause,2011-08-10 03:48:06.000000,2021-04-29 07:32:59.000000,2021-04-13 19:05:58.000000,2514,674.0,2085.0,9417,28126.0,\"Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-..\",384.0,34,True,2020-07-27 16:13:54.000000,1.0.5,45.0,theano,conda-forge/theano,,,,16394.0,10920.0,https://pypi.org/project/theano,2020-07-27 16:13:54.000000,5474.0,285539.0,311376.0,https://anaconda.org/conda-forge/theano,2021-01-21 21:14:21.756000,1498575.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n38,pydeck,visgl/deck.gl,,geospatial-data,https://github.com/visgl/deck.gl,https://github.com/visgl/deck.gl,MIT,2015-12-15 08:38:29.000000,2021-05-12 17:44:05.000000,2021-05-11 09:37:44.000000,1534,84.0,2039.0,8679,3628.0,WebGL2 powered geospatial visualization layers.,164.0,34,True,2021-05-07 16:22:03.508000,8.4.16,467.0,pydeck,conda-forge/pydeck,,,['jupyter'],2127.0,1565.0,https://pypi.org/project/pydeck,2021-04-13 02:26:45.000000,2.0,249829.0,460839.0,https://anaconda.org/conda-forge/pydeck,2021-04-13 20:41:22.066000,29628.0,,,,,1.0,,,deck.gl,https://www.npmjs.com/package/deck.gl,2021-05-10 22:09:18.861000,560.0,209035.0,,,,,,,,,,,,,,,,\n39,dask,dask/dask,,distributed-ml,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000000,2021-05-13 14:57:37.000000,2021-05-11 18:30:07.000000,1267,750.0,3004.0,8316,,Parallel computing with task scheduling.,444.0,34,True,2021-04-23 19:06:45.000000,2021.4.1,116.0,dask,conda-forge/dask,,,,31357.0,27441.0,https://pypi.org/project/dask,2021-04-23 19:06:45.000000,3916.0,4175664.0,4231919.0,https://anaconda.org/conda-forge/dask,2021-04-24 02:17:38.124000,3375317.0,,,,,1.0,,stable/dask,,,,,,,,,,,,,,,,,,,,,\n40,scikit-image,scikit-image/scikit-image,,image,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,BSD-2-Clause,2011-07-07 22:07:20.000000,2021-05-13 12:35:58.000000,2021-05-12 05:15:31.000000,1794,690.0,1526.0,4335,,Image processing in Python.,488.0,34,True,2021-01-19 08:17:34.000000,0.18.1,36.0,scikit-image,conda-forge/scikit-image,,,,83012.0,68238.0,https://pypi.org/project/scikit-image,2021-05-06 06:29:38.000000,14774.0,5010192.0,5051277.0,https://anaconda.org/conda-forge/scikit-image,2021-01-21 20:53:16.554000,2465133.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n41,Shapely,Toblerity/Shapely,,geospatial-data,https://github.com/Toblerity/Shapely,https://github.com/Toblerity/Shapely,BSD-3-Clause,2011-12-31 19:43:11.000000,2021-05-03 14:31:50.000000,2021-05-03 14:31:50.000000,397,125.0,613.0,2265,1514.0,Manipulation and analysis of geometric objects.,114.0,34,True,2020-12-15 18:27:01.000000,1.7.1,100.0,shapely,conda-forge/shapely,,,,24087.0,18629.0,https://pypi.org/project/shapely,2021-03-04 00:27:13.000000,5458.0,4101736.0,4136533.0,https://anaconda.org/conda-forge/shapely,2021-03-05 11:50:12.482000,2331423.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n42,PyFlink,apache/flink,,ml-frameworks,https://github.com/apache/flink,https://github.com/apache/flink,Apache-2.0,2014-06-07 07:00:10.000000,2021-05-13 12:31:53.000000,2021-05-13 09:40:51.000000,8772,499.0,,16194,26890.0,Apache Flink Python API.,1270.0,33,True,2021-04-29 13:21:18.000000,1.13.0,16.0,apache-flink,,,,,281.0,281.0,https://pypi.org/project/apache-flink,2021-04-29 13:21:18.000000,0.0,5336.0,5336.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n43,Bokeh,bokeh/bokeh,,data-viz,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000000,2021-05-13 11:20:28.000000,2021-05-13 11:20:25.000000,3708,678.0,5890.0,15094,,\"Interactive Data Visualization in the browser, from Python.\",558.0,33,True,2021-05-10 16:59:13.000000,2.3.2,96.0,bokeh,conda-forge/bokeh,,,,39853.0,33981.0,https://pypi.org/project/bokeh,2021-05-10 16:59:13.000000,5872.0,1423870.0,1513770.0,https://anaconda.org/conda-forge/bokeh,2021-05-11 13:20:48.298000,4405127.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n44,pytorch-lightning,PyTorchLightning/pytorch-lightning,,ml-frameworks,https://github.com/PyTorchLightning/pytorch-lightning,https://github.com/PyTorchLightning/pytorch-lightning,Apache-2.0,2019-03-31 00:45:57.000000,2021-05-13 14:01:49.000000,2021-05-13 10:18:03.000000,1589,273.0,3060.0,13428,4916.0,\"The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.\",450.0,33,True,2021-05-11 09:40:35.000000,1.3.1,169.0,pytorch-lightning,conda-forge/pytorch-lightning,,,['pytorch'],2928.0,2914.0,https://pypi.org/project/pytorch-lightning,2021-05-11 09:40:35.000000,14.0,420058.0,431733.0,https://anaconda.org/conda-forge/pytorch-lightning,2021-05-11 13:14:00.715000,126756.0,,,,,2.0,3347.0,,,,,,,,,,,,,,,,,,,,,,\n45,tensor2tensor,tensorflow/tensor2tensor,,tensorflow-utils,https://github.com/tensorflow/tensor2tensor,https://github.com/tensorflow/tensor2tensor,Apache-2.0,2017-06-15 16:57:39.000000,2021-05-11 16:44:05.000000,2021-05-11 16:44:00.000000,2872,559.0,666.0,11251,4350.0,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,232.0,33,True,2020-06-17 16:15:36.000000,1.15.7,79.0,tensor2tensor,,,,['tensorflow'],1132.0,968.0,https://pypi.org/project/tensor2tensor,2020-06-17 16:15:36.000000,164.0,443608.0,443608.0,,,,,,,,1.0,,,,,,,,,1.0,,,,,,,,,,,,,,\n46,mlflow,mlflow/mlflow,,ml-experiments,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000000,2021-05-13 13:27:53.000000,2021-05-13 01:56:17.000000,2022,801.0,1075.0,9320,1996.0,Open source platform for the machine learning lifecycle.,288.0,33,True,2021-05-08 17:36:31.000000,1.17.0,45.0,mlflow,conda-forge/mlflow,,,,154.0,,https://pypi.org/project/mlflow,2021-05-08 17:03:08.000000,154.0,4716167.0,4728204.0,https://anaconda.org/conda-forge/mlflow,2021-05-10 09:07:52.517000,300932.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n47,rq,rq/rq,,data-pipelines,https://github.com/rq/rq,https://github.com/rq/rq,BSD-3-Clause,2011-11-14 10:53:48.000000,2021-05-13 08:35:31.000000,2021-05-07 04:11:11.000000,1227,152.0,701.0,7697,1565.0,Simple job queues for Python.,236.0,33,True,2020-11-29 09:48:18.000000,1.7.0,63.0,rq,conda-forge/rq,,,,11239.0,7915.0,https://pypi.org/project/rq,2020-11-29 09:47:08.000000,3324.0,488639.0,489525.0,https://anaconda.org/conda-forge/rq,2021-03-31 04:46:34.734000,51414.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n48,StatsModels,statsmodels/statsmodels,,ml-frameworks,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000000,2021-05-11 04:47:00.000000,2021-05-07 14:46:10.000000,2202,2088.0,2315.0,6303,,Statsmodels: statistical modeling and econometrics in Python.,314.0,33,True,2021-02-02 11:08:49.000000,0.12.2,25.0,statsmodels,conda-forge/statsmodels,,,,48800.0,42144.0,https://pypi.org/project/statsmodels,2021-02-02 11:08:49.000000,6656.0,4041010.0,4108246.0,https://anaconda.org/conda-forge/statsmodels,2021-02-15 17:38:00.380000,3966948.0,,,,,2.0,25.0,,,,,,,,,,,,,,,,,,,,,,\n49,geopy,geopy/geopy,,geospatial-data,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000000,2021-05-09 12:07:12.000000,2021-04-17 15:44:06.000000,535,25.0,223.0,3311,1061.0,Geocoding library for Python.,122.0,33,True,2020-12-27 13:15:23.000000,2.1.0,57.0,geopy,conda-forge/geopy,,,,27837.0,20593.0,https://pypi.org/project/geopy,2020-12-27 13:12:21.000000,7244.0,4349247.0,4357997.0,https://anaconda.org/conda-forge/geopy,2020-12-27 14:22:55.127000,542535.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n50,TensorFlow Datasets,tensorflow/datasets,,data-loading,https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000000,2021-05-13 00:43:15.000000,2021-05-13 00:32:52.000000,1032,454.0,565.0,2817,3956.0,\"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...\",203.0,33,True,2021-05-07 13:09:09.000000,4.3.0,22.0,tensorflow-datasets,,,,['tensorflow'],4712.0,4610.0,https://pypi.org/project/tensorflow-datasets,2021-05-07 11:42:04.000000,102.0,1730154.0,1730154.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n51,xarray,pydata/xarray,,data-containers,https://github.com/pydata/xarray,https://github.com/pydata/xarray,Apache-2.0,2013-09-30 17:21:10.000000,2021-05-13 13:33:32.000000,2021-05-11 08:21:25.000000,663,805.0,2030.0,2042,3665.0,N-D labeled arrays and datasets in Python.,315.0,33,True,2021-05-06 18:52:30.000000,0.18.0,57.0,xarray,conda-forge/xarray,,,,7258.0,6126.0,https://pypi.org/project/xarray,2021-05-06 18:52:30.000000,1132.0,556878.0,602352.0,https://anaconda.org/conda-forge/xarray,2021-05-06 21:22:13.129000,2819403.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n52,xlrd,python-excel/xlrd,,data-loading,https://github.com/python-excel/xlrd,https://github.com/python-excel/xlrd,BSD-3-Clause,2012-03-07 04:50:48.000000,2021-01-09 20:35:27.639000,2020-12-12 15:24:25.000000,414,3.0,,1888,502.0,Please use openpyxl where you can...,50.0,33,True,2020-12-11 10:14:20.000000,2.0.1,24.0,xlrd,conda-forge/xlrd,,,,84812.0,71238.0,https://pypi.org/project/xlrd,2020-12-11 10:14:20.000000,13574.0,9662959.0,9690749.0,https://anaconda.org/conda-forge/xlrd,2021-01-09 20:35:27.639000,1389515.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n53,Fastai,fastai/fastai,,ml-frameworks,https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000000,2021-05-12 18:53:04.000000,2021-05-04 22:45:48.000000,7002,80.0,1371.0,20864,1743.0,The fastai deep learning library.,472.0,32,True,2021-05-04 02:11:31.000000,2.3.1,120.0,fastai,,,,['pytorch'],368.0,,https://pypi.org/project/fastai,2021-05-04 02:13:56.000000,368.0,187924.0,187924.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n54,Ray,ray-project/ray,,distributed-ml,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000000,2021-05-13 15:08:29.000000,2021-05-13 11:26:01.000000,2602,1565.0,5230.0,15908,8021.0,\"An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged..\",479.0,32,True,2021-04-22 22:28:01.000000,ray-1.3.0,45.0,ray,,,,,2247.0,2087.0,https://pypi.org/project/ray,2021-04-22 20:25:11.000000,160.0,373001.0,373001.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n55,imgaug,aleju/imgaug,,image,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33.000000,2021-04-15 01:52:46.000000,2020-06-01 14:58:26.000000,2017,232.0,211.0,11099,2913.0,Image augmentation for machine learning experiments.,36.0,32,True,2020-02-06 06:18:40.000000,0.4.0,11.0,imgaug,conda-forge/imgaug,,,,6811.0,6255.0,https://pypi.org/project/imgaug,2020-02-05 20:54:22.000000,556.0,280667.0,282406.0,https://anaconda.org/conda-forge/imgaug,2020-02-14 16:06:53.525000,40010.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n56,dlib,davisking/dlib,,ml-frameworks,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000000,2021-05-12 11:05:44.000000,2021-05-12 11:05:44.000000,2903,58.0,1866.0,10147,7944.0,A toolkit for making real world machine learning and data analysis applications in C++.,166.0,32,False,2021-03-28 13:36:18.000000,19.22,28.0,dlib,conda-forge/dlib,,,,11062.0,9704.0,https://pypi.org/project/dlib,2020-12-04 19:23:04.000000,1358.0,112661.0,118516.0,https://anaconda.org/conda-forge/dlib,2021-04-03 09:47:47.788000,308610.0,,,,,2.0,24533.0,,,,,,,,,,,,,,,,,,,,,,\n57,AllenNLP,allenai/allennlp,,nlp,https://github.com/allenai/allennlp,https://github.com/allenai/allennlp,Apache-2.0,2017-05-15 15:52:41.000000,2021-05-13 13:02:43.000000,2021-05-13 01:06:36.000000,2049,111.0,2255.0,10012,2357.0,\"An open-source NLP research library, built on PyTorch.\",242.0,32,True,2021-04-23 00:31:09.000000,2.4.0,190.0,allennlp,,,,['pytorch'],1883.0,1649.0,https://pypi.org/project/allennlp,2021-04-23 00:31:09.000000,234.0,37596.0,37596.0,,,,,,,,1.0,39.0,,,,,,,,,,,,,,,,,,,,,,\n58,PyMC3,pymc-devs/pymc3,,probabilistics,https://github.com/pymc-devs/pymc3,https://github.com/pymc-devs/pymc3,Apache-2.0,2009-05-05 09:43:50.000000,2021-05-13 14:52:11.000000,2021-04-05 13:26:07.000000,1371,193.0,2048.0,5733,7691.0,Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara.,312.0,32,True,2021-03-14 22:31:10.000000,3.11.2,33.0,pymc3,conda-forge/pymc3,,,,2746.0,2460.0,https://pypi.org/project/pymc3,2021-03-14 22:31:10.000000,286.0,214474.0,219524.0,https://anaconda.org/conda-forge/pymc3,2021-03-15 13:12:28.868000,277740.0,,,,,1.0,155.0,,,,,,,,,,,,,,,,,,,,,,\n59,folium,python-visualization/folium,,geospatial-data,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000000,2021-04-26 04:54:37.000000,2021-03-09 08:53:19.000000,1951,167.0,696.0,5260,1474.0,Python Data. Leaflet.js Maps.,121.0,32,True,2021-01-18 17:29:40.000000,0.12.1,25.0,folium,conda-forge/folium,,,,10863.0,9895.0,https://pypi.org/project/folium,2021-01-18 17:29:40.000000,968.0,427139.0,432917.0,https://anaconda.org/conda-forge/folium,2021-03-12 17:41:57.124000,358250.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n60,CuPy,cupy/cupy,,gpu-utilities,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000000,2021-05-13 08:24:56.000000,2021-05-12 02:50:05.000000,469,341.0,1020.0,5120,21787.0,A NumPy-compatible array library accelerated by CUDA.,262.0,32,True,2021-04-22 05:59:48.000000,9.0.0,92.0,cupy,conda-forge/cupy,cupy/cupy,,,923.0,731.0,https://pypi.org/project/cupy,2021-04-22 01:30:04.000000,192.0,85403.0,117195.0,https://anaconda.org/conda-forge/cupy,2021-04-30 19:12:57.847000,580427.0,https://hub.docker.com/r/cupy/cupy,2021-05-12 02:56:38.282166,6.0,50150.0,1.0,16151.0,,,,,,,,,,,,,,,,,,,,,,\n61,Beam,apache/beam,,data-pipelines,https://github.com/apache/beam,https://github.com/apache/beam,Apache-2.0,2016-02-02 08:00:06.000000,2021-05-13 13:45:14.000000,2021-05-12 22:51:20.000000,2997,166.0,,4792,31985.0,\"Unified programming model to define and execute data processing pipelines, including ETL, batch and stream processing.\",1053.0,32,True,2021-02-22 21:19:14.000000,2.28.0,33.0,apache-beam,,,,,186.0,,https://pypi.org/project/apache-beam,2021-04-27 17:14:41.000000,186.0,2918477.0,2918477.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n62,Optuna,optuna/optuna,,hyperopt,https://github.com/optuna/optuna,https://github.com/optuna/optuna,MIT,2018-02-21 06:12:56.000000,2021-05-13 14:50:10.000000,2021-05-13 07:23:03.000000,499,188.0,632.0,4536,9920.0,A hyperparameter optimization framework.,135.0,32,True,2021-04-05 03:39:39.000000,2.7.0,37.0,optuna,conda-forge/optuna,,,,1327.0,1275.0,https://pypi.org/project/optuna,2021-04-05 03:39:39.000000,52.0,504931.0,506350.0,https://anaconda.org/conda-forge/optuna,2021-04-05 06:39:55.179000,25549.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n63,Tablib,jazzband/tablib,,data-loading,https://github.com/jazzband/tablib,https://github.com/jazzband/tablib,MIT,2011-03-28 02:36:50.000000,2021-03-01 12:38:44.000000,2021-03-01 12:38:44.000000,565,33.0,198.0,3953,1124.0,\"Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c.\",111.0,32,True,2020-12-05 14:56:28.000000,3.0.0,38.0,tablib,conda-forge/tablib,,,,12610.0,10252.0,https://pypi.org/project/tablib,2020-12-05 14:56:28.000000,2358.0,957588.0,958728.0,https://anaconda.org/conda-forge/tablib,2020-12-05 16:40:48.469000,61588.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n64,tensorflow-probability,tensorflow/probability,,probabilistics,https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000000,2021-05-13 06:04:42.000000,2021-05-13 06:04:39.000000,884,461.0,575.0,3301,10574.0,Probabilistic reasoning and statistical analysis in TensorFlow.,411.0,32,True,2021-04-19 23:03:58.000000,0.12.2,36.0,tensorflow-probability,conda-forge/tensorflow-probability,,,['tensorflow'],254.0,2.0,https://pypi.org/project/tensorflow-probability,2020-12-29 17:46:08.000000,252.0,1197348.0,1198652.0,https://anaconda.org/conda-forge/tensorflow-probability,2021-04-30 15:17:15.055000,35211.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n65,tensorflow-hub,tensorflow/hub,,tensorflow-utils,https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42.000000,2021-04-30 12:45:16.000000,2021-04-30 12:45:05.000000,1496,34.0,544.0,2802,878.0,A library for transfer learning by reusing parts of TensorFlow models.,69.0,32,True,2021-04-14 13:17:26.000000,0.12.0,15.0,tensorflow-hub,conda-forge/tensorflow-hub,,,['tensorflow'],6911.0,6597.0,https://pypi.org/project/tensorflow-hub,2021-04-14 12:54:13.000000,314.0,2143788.0,2145283.0,https://anaconda.org/conda-forge/tensorflow-hub,2021-04-18 18:01:14.779000,52347.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n66,GeoPandas,geopandas/geopandas,,geospatial-data,https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000000,2021-05-12 19:24:44.000000,2021-05-12 07:40:37.000000,594,324.0,732.0,2617,1387.0,Python tools for geographic data.,140.0,32,True,2021-02-28 21:10:46.000000,0.9.0,37.0,geopandas,conda-forge/geopandas,,,['pandas'],9553.0,8387.0,https://pypi.org/project/geopandas,2021-02-28 21:10:43.000000,1166.0,1036908.0,1052665.0,https://anaconda.org/conda-forge/geopandas,2021-03-01 09:07:56.799000,975933.0,,,,,2.0,1013.0,,,,,,,,,,,,,,,,,,,,,,\n67,Thinc,explosion/thinc,,ml-frameworks,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59.000000,2021-05-06 12:38:41.000000,2021-05-06 08:24:34.000000,207,16.0,90.0,2285,4927.0,\"A refreshing functional take on deep learning, compatible with your favorite libraries.\",38.0,32,True,2021-04-19 13:57:59.000000,8.0.3,189.0,thinc,conda-forge/thinc,,,,14269.0,13131.0,https://pypi.org/project/thinc,2021-03-09 12:42:58.000000,1138.0,1891324.0,1919067.0,https://anaconda.org/conda-forge/thinc,2021-04-23 21:53:35.709000,1414923.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n68,python-magic,ahupp/python-magic,,data-loading,https://github.com/ahupp/python-magic,https://github.com/ahupp/python-magic,MIT,2010-03-31 22:40:33.000000,2021-05-10 22:56:49.000000,2021-05-10 22:56:49.000000,218,28.0,133.0,1882,284.0,A python wrapper for libmagic.,51.0,32,True,2021-02-17 06:19:13.000000,0.4.22,22.0,python-magic,conda-forge/python-magic,,,,19263.0,14131.0,https://pypi.org/project/python-magic,2021-02-17 06:19:13.000000,5132.0,2551253.0,2553049.0,https://anaconda.org/conda-forge/python-magic,2021-03-05 04:33:25.716000,88028.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n69,Rasterio,mapbox/rasterio,,geospatial-data,https://github.com/mapbox/rasterio,https://github.com/mapbox/rasterio,BSD-3-Clause,2013-11-04 16:36:27.000000,2021-05-11 16:30:06.000000,2021-05-03 18:53:09.000000,406,141.0,1245.0,1488,3317.0,Rasterio reads and writes geospatial raster datasets.,109.0,32,True,2021-04-27 01:33:11.000000,1.2.3,124.0,rasterio,conda-forge/rasterio,,,,4005.0,3155.0,https://pypi.org/project/rasterio,2021-04-27 01:33:11.000000,850.0,482707.0,499326.0,https://anaconda.org/conda-forge/rasterio,2021-05-01 23:02:31.257000,1029781.0,,,,,2.0,732.0,,,,,,,,,,,,,,,,,,,,,,\n70,TF Addons,tensorflow/addons,,tensorflow-utils,https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17.000000,2021-05-13 14:53:58.000000,2021-05-13 13:30:05.000000,425,172.0,648.0,1277,1357.0,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,161.0,32,True,2021-01-30 13:59:33.000000,0.12.1,25.0,tensorflow-addons,,,,['tensorflow'],2981.0,2963.0,https://pypi.org/project/tensorflow-addons,2021-01-30 13:59:33.000000,18.0,2265515.0,2265515.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n71,imageio,imageio/imageio,,image,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000000,2021-05-13 12:23:02.000000,2021-05-12 08:45:27.000000,177,71.0,284.0,872,1147.0,Python library for reading and writing image data.,77.0,32,True,2020-07-10 07:45:22.000000,2.9.0,31.0,imageio,conda-forge/imageio,,,,44994.0,41156.0,https://pypi.org/project/imageio,2020-07-06 13:20:41.000000,3838.0,5479670.0,5516965.0,https://anaconda.org/conda-forge/imageio,2020-07-06 14:13:25.518000,1939352.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n72,fastText,facebookresearch/fastText,,nlp,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000000,2021-04-29 08:33:10.000000,2020-07-18 00:20:40.000000,4350,452.0,594.0,22560,379.0,Library for fast text representation and classification.,58.0,31,True,2020-04-28 09:54:50.000000,0.9.2,35.0,fasttext,conda-forge/fasttext,,,,1908.0,1718.0,https://pypi.org/project/fasttext,2020-04-28 09:54:50.000000,190.0,542102.0,542556.0,https://anaconda.org/conda-forge/fasttext,2020-10-12 14:55:45.199000,19554.0,,,,,1.0,,,,,,,,,1.0,,,,,,,,,,,,,,\n73,DeepSpeech,mozilla/DeepSpeech,,audio,https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53.000000,2021-05-13 15:12:57.000000,2021-04-28 19:14:46.000000,3125,103.0,1898.0,17297,3460.0,\"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..\",161.0,31,True,2020-12-10 17:22:09.000000,0.9.3,100.0,deepspeech,,,,['tensorflow'],528.0,470.0,https://pypi.org/project/deepspeech,2020-12-19 10:05:12.000000,58.0,10645.0,27561.0,,,,,,,,1.0,541339.0,,,,,,,,5.0,,,,,,,,,,,,,,\n74,PaddlePaddle,PaddlePaddle/Paddle,,ml-frameworks,https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000000,2021-05-13 13:24:56.000000,2021-05-13 13:24:56.000000,3714,2507.0,10775.0,15203,15069.0,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,541.0,31,True,2021-04-16 06:47:11.000000,2.0.2,44.0,paddlepaddle,,,,['paddle'],59.0,43.0,https://pypi.org/project/paddlepaddle,2021-03-05 07:28:12.000000,16.0,12538.0,12806.0,,,,,,,,2.0,15281.0,,,,,,,,,,,,,,,,,,,,,,\n75,fairseq,pytorch/fairseq,,nlp,https://github.com/pytorch/fairseq,https://github.com/pytorch/fairseq,MIT,2017-08-29 16:26:12.000000,2021-05-13 01:04:10.000000,2021-05-13 01:04:06.000000,3095,829.0,1896.0,12044,1886.0,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,324.0,31,True,2021-01-05 20:26:45.000000,0.10.2,13.0,fairseq,,,,['pytorch'],397.0,377.0,https://pypi.org/project/fairseq,2021-01-05 20:26:45.000000,20.0,27453.0,27456.0,,,,,,,,1.0,119.0,,,,,,,,,,,,,,,,,,,,,,\n76,ChatterBot,gunthercox/ChatterBot,,nlp,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00.000000,2021-05-13 08:25:12.000000,2020-08-20 21:16:14.000000,3736,251.0,1232.0,11122,1847.0,\"ChatterBot is a machine learning, conversational dialog engine for creating chat bots.\",103.0,31,True,2020-08-22 18:42:43.000000,1.0.8,86.0,chatterbot,,,,,4098.0,3418.0,https://pypi.org/project/chatterbot,2020-08-22 18:40:36.000000,680.0,22508.0,22508.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n77,flair,flairNLP/flair,,nlp,https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,MIT,2018-06-11 11:04:18.000000,2021-05-13 10:35:13.000000,2021-05-01 09:53:36.000000,1601,99.0,1432.0,10330,3360.0,A very simple framework for state-of-the-art Natural Language Processing (NLP).,198.0,31,True,2021-03-05 11:57:03.000000,0.8,21.0,flair,,,,['pytorch'],798.0,750.0,https://pypi.org/project/flair,2021-03-08 23:08:40.000000,48.0,60060.0,60060.0,,,,,,,,1.0,,,,,,,,,1.0,,,,,,,,,,,,,,\n78,Datasets,huggingface/datasets,,data-loading,https://github.com/huggingface/datasets,https://github.com/huggingface/datasets,Apache-2.0,2020-03-26 09:23:22.000000,2021-05-13 01:25:14.000000,2021-05-12 14:16:37.000000,899,290.0,465.0,8165,1600.0,\"The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools.\",267.0,31,True,2021-04-30 13:20:24.000000,1.6.2,20.0,datasets,,,,,757.0,739.0,https://pypi.org/project/datasets,2021-04-30 13:18:23.000000,18.0,141273.0,141273.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n79,DVC,iterative/dvc,,ml-experiments,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000000,2021-05-13 11:33:56.000000,2021-05-13 10:23:58.000000,749,474.0,2462.0,7896,6579.0,Data Version Control | Git for Data & Models.,220.0,31,True,2021-05-03 13:34:12.000000,2.1.0,318.0,dvc,conda-forge/dvc,,,,1006.0,960.0,https://pypi.org/project/dvc,2021-05-03 13:34:12.000000,46.0,146286.0,178066.0,https://anaconda.org/conda-forge/dvc,2021-05-03 18:09:49.433000,650622.0,,,,,1.0,24277.0,,,,,,,,,dvc,dvc,dvc,,,,,,,,,,,\n80,pandas-profiling,pandas-profiling/pandas-profiling,,data-viz,https://github.com/pandas-profiling/pandas-profiling,https://github.com/pandas-profiling/pandas-profiling,MIT,2016-01-09 23:47:55.000000,2021-05-13 14:25:26.000000,2021-05-10 22:05:09.000000,1101,71.0,394.0,7274,852.0,Create HTML profiling reports from pandas DataFrame objects.,75.0,31,True,2021-05-11 22:24:40.000000,3.0.0,30.0,pandas-profiling,conda-forge/pandas-profiling,,,\"['jupyter', 'pandas']\",4164.0,4004.0,https://pypi.org/project/pandas-profiling,2021-05-11 22:24:40.000000,160.0,373311.0,375497.0,https://anaconda.org/conda-forge/pandas-profiling,2021-05-12 01:17:17.354000,124646.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n81,Altair,altair-viz/altair,,data-viz,https://github.com/altair-viz/altair,https://github.com/altair-viz/altair,BSD-3-Clause,2015-09-19 03:14:04.000000,2021-05-07 03:49:26.000000,2021-04-04 16:59:23.000000,580,292.0,1321.0,6627,3065.0,Declarative statistical visualization library for Python.,127.0,31,True,2020-04-01 13:29:16.000000,4.1.0,26.0,altair,conda-forge/altair,,,,11280.0,10910.0,https://pypi.org/project/altair,2020-04-01 13:23:10.000000,370.0,1488723.0,1501101.0,https://anaconda.org/conda-forge/altair,2020-04-01 16:49:36.519000,717979.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n82,Prefect,PrefectHQ/prefect,,data-pipelines,https://github.com/PrefectHQ/prefect,https://github.com/PrefectHQ/prefect,Apache-2.0,2018-06-29 21:59:26.000000,2021-05-13 14:53:00.000000,2021-05-13 00:02:53.000000,578,323.0,1415.0,6277,13966.0,The easiest way to automate your data.,202.0,31,True,2021-05-12 01:10:21.000000,0.14.19,96.0,prefect,conda-forge/prefect,,,,332.0,330.0,https://pypi.org/project/prefect,2021-05-12 01:10:21.000000,2.0,92565.0,96217.0,https://anaconda.org/conda-forge/prefect,2021-05-12 16:39:56.293000,94958.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n83,Catboost,catboost/catboost,,ml-frameworks,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000000,2021-05-13 13:46:51.000000,2021-05-13 13:46:48.000000,886,324.0,1140.0,5859,16101.0,\"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..\",784.0,31,True,2021-04-05 22:23:00.000000,0.25.1,93.0,catboost,conda-forge/catboost,,,,162.0,,https://pypi.org/project/catboost,2021-04-05 22:14:25.000000,162.0,2717388.0,2737450.0,https://anaconda.org/conda-forge/catboost,2021-04-12 10:39:53.915000,676972.0,,,,,2.0,55369.0,,,,,,,,,,,,,,,,,,,,,,\n84,Pydub,jiaaro/pydub,,audio,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38.000000,2021-05-12 14:03:54.000000,2021-04-21 10:21:41.000000,721,195.0,245.0,5328,741.0,Manipulate audio with a simple and easy high level interface.,90.0,31,True,2021-03-10 02:10:41.000000,0.25.1,68.0,pydub,conda-forge/pydub,,,,8376.0,7022.0,https://pypi.org/project/pydub,2021-03-10 02:09:53.000000,1354.0,774787.0,775301.0,https://anaconda.org/conda-forge/pydub,2021-03-13 05:16:50.142000,14908.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n85,imbalanced-learn,scikit-learn-contrib/imbalanced-learn,,sklearn-utils,https://github.com/scikit-learn-contrib/imbalanced-learn,https://github.com/scikit-learn-contrib/imbalanced-learn,MIT,2014-08-16 05:08:26.000000,2021-05-04 15:13:40.000000,2021-04-25 18:06:22.000000,1089,35.0,429.0,5227,738.0,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,56.0,31,True,2021-02-18 14:00:33.000000,0.8.0,27.0,imbalanced-learn,conda-forge/imbalanced-learn,,,['sklearn'],5562.0,5282.0,https://pypi.org/project/imbalanced-learn,2021-02-18 13:50:00.000000,280.0,1336885.0,1339825.0,https://anaconda.org/conda-forge/imbalanced-learn,2021-02-18 15:40:00.937000,126462.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n86,sentencepiece,google/sentencepiece,,nlp,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000000,2021-05-08 01:31:08.000000,2021-05-08 01:31:08.000000,692,35.0,405.0,5036,674.0,Unsupervised text tokenizer for Neural Network-based text generation.,53.0,31,True,2021-01-10 06:29:42.000000,0.1.95,30.0,sentencepiece,conda-forge/sentencepiece,,,,7713.0,7473.0,https://pypi.org/project/sentencepiece,2021-01-10 06:29:42.000000,240.0,2091470.0,2097144.0,https://anaconda.org/conda-forge/sentencepiece,2021-02-09 05:49:50.247000,52729.0,,,,,1.0,13267.0,,,,,,,,,,,,,,,,,,,,,,\n87,UMAP,lmcinnes/umap,,data-viz,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17.000000,2021-05-10 13:33:12.000000,2021-05-03 18:03:04.000000,514,240.0,252.0,4705,1401.0,Uniform Manifold Approximation and Projection.,79.0,31,True,2021-02-08 21:04:43.000000,0.5.1,35.0,umap-learn,,,,,3121.0,2895.0,https://pypi.org/project/umap-learn,2021-02-08 21:04:43.000000,226.0,453532.0,453532.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n88,xmltodict,martinblech/xmltodict,,data-loading,https://github.com/martinblech/xmltodict,https://github.com/martinblech/xmltodict,MIT,2012-04-17 14:38:21.000000,2021-02-08 17:46:25.000000,2020-04-26 05:15:03.000000,420,70.0,136.0,4386,205.0,Python module that makes working with XML feel like you are working with JSON.,41.0,31,False,2019-02-11 07:00:26.000000,0.12.0,27.0,xmltodict,conda-forge/xmltodict,,,,33069.0,24835.0,https://pypi.org/project/xmltodict,2019-02-11 07:00:26.000000,8234.0,9435113.0,9450124.0,https://anaconda.org/conda-forge/xmltodict,2019-02-11 11:53:14.803000,855627.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n89,opencv-python,skvark/opencv-python,,image,https://github.com/opencv/opencv-python,https://github.com/opencv/opencv-python,MIT,2016-04-08 13:36:40.000000,2021-05-12 06:59:06.000000,2021-05-06 19:37:49.000000,373,26.0,394.0,1972,753.0,\"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..\",29.0,31,True,2021-05-06 19:44:42.000000,52,51.0,opencv-python,,,,,12560.0,,https://pypi.org/project/opencv-python,2021-05-07 12:41:47.000000,12560.0,5243083.0,5243083.0,,,,,,,,2.0,,,,,,,,,,,,,opencv/opencv-python,,,,,,,,,,\n90,numexpr,pydata/numexpr,,data-containers,https://github.com/pydata/numexpr,https://github.com/pydata/numexpr,MIT,2013-11-30 22:33:48.000000,2021-03-05 20:56:41.232000,2021-03-03 18:33:11.000000,166,53.0,251.0,1583,686.0,\"Fast numerical array expression evaluator for Python, NumPy, PyTables, pandas, bcolz and more.\",57.0,31,True,2021-03-03 18:13:19.000000,2.7.3,40.0,numexpr,conda-forge/numexpr,,,,5482.0,,https://pypi.org/project/numexpr,2021-03-03 18:13:19.000000,5482.0,1241585.0,1285611.0,https://anaconda.org/conda-forge/numexpr,2021-03-05 20:56:41.232000,2509532.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n91,SageMaker SDK,aws/sagemaker-python-sdk,,ml-experiments,https://github.com/aws/sagemaker-python-sdk,https://github.com/aws/sagemaker-python-sdk,Apache-2.0,2017-11-14 01:03:33.000000,2021-05-13 14:51:03.000000,2021-05-12 16:26:42.000000,626,277.0,546.0,1380,1999.0,A library for training and deploying machine learning models on Amazon SageMaker.,200.0,31,True,2021-05-11 18:30:25.000000,2.40.0,334.0,sagemaker,,,,\"['mxnet', 'tensorflow']\",722.0,694.0,https://pypi.org/project/sagemaker,2021-05-11 18:30:25.000000,28.0,688409.0,688409.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n92,dask.distributed,dask/distributed,,distributed-ml,https://github.com/dask/distributed,https://github.com/dask/distributed,BSD-3-Clause,2015-09-13 18:42:29.000000,2021-05-13 14:48:20.000000,2021-05-12 19:48:29.000000,525,790.0,1353.0,1184,,A distributed task scheduler for Dask.,241.0,31,True,2021-04-02 16:23:04.000000,2021.4.0,147.0,distributed,conda-forge/distributed,,,,19915.0,18137.0,https://pypi.org/project/distributed,2021-04-23 18:51:56.000000,1778.0,2939281.0,3010425.0,https://anaconda.org/conda-forge/distributed,2021-04-23 23:14:34.568000,4268672.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n93,pyproj,pyproj4/pyproj,,geospatial-data,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000000,2021-05-13 08:19:50.000000,2021-05-04 12:14:44.000000,151,11.0,398.0,610,1144.0,Python interface to PROJ (cartographic projections and coordinate transformations library).,40.0,31,True,2021-03-05 03:06:15.000000,3.0.1,34.0,pyproj,conda-forge/pyproj,,,,12060.0,9598.0,https://pypi.org/project/pyproj,2020-11-05 14:28:45.000000,2462.0,2518466.0,2551883.0,https://anaconda.org/conda-forge/pyproj,2021-03-05 14:16:16.093000,2172123.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n94,snowballstemmer,snowballstem/snowball,,nlp,https://github.com/snowballstem/snowball,https://github.com/snowballstem/snowball,BSD-3-Clause,2013-02-23 07:17:42.000000,2021-04-11 21:24:01.000000,2021-04-11 21:24:01.000000,137,20.0,42.0,495,852.0,Snowball compiler and stemming algorithms.,26.0,31,True,2021-01-21 11:43:00.000000,2.1.0,9.0,snowballstemmer,conda-forge/snowballstemmer,,,,62335.0,49153.0,https://pypi.org/project/snowballstemmer,2021-01-21 11:43:00.000000,13182.0,5798093.0,5841866.0,https://anaconda.org/conda-forge/snowballstemmer,2021-01-21 23:16:54.597000,2495079.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n95,Keras,keras-team/keras,,ml-frameworks,https://github.com/keras-team/keras,https://github.com/keras-team/keras,MIT,2015-03-28 00:35:42.000000,2021-05-13 13:05:06.000000,2021-05-11 20:58:20.000000,18717,3272.0,7254.0,51164,5490.0,Deep Learning for humans.,907.0,30,True,2020-06-24 22:40:48.000000,2.4.3,50.0,keras,conda-forge/keras,,https://keras.io,['tensorflow'],0.0,,https://pypi.org/project/keras,2021-04-12 23:09:14.000000,0.0,3447467.0,3476162.0,https://anaconda.org/conda-forge/keras,2021-04-19 19:56:38.549000,1635619.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n96,jieba,fxsjy/jieba,,chinese-nlp,https://github.com/fxsjy/jieba,https://github.com/fxsjy/jieba,MIT,2012-09-29 07:52:01.000000,2020-12-05 18:32:32.000000,2020-02-15 08:33:35.000000,6233,608.0,199.0,26240,523.0,Chinese Words Segmentation Utilities.,48.0,30,False,2020-01-20 14:27:23.000000,0.42.1,32.0,jieba,conda-forge/jieba,,,,12571.0,10055.0,https://pypi.org/project/jieba,2020-01-20 14:27:23.000000,2516.0,417049.0,418606.0,https://anaconda.org/conda-forge/jieba,2020-03-25 20:57:40.090000,76294.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n97,zipline,quantopian/zipline,,financial-data,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29.000000,2021-04-18 22:05:29.000000,2020-10-14 16:36:49.000000,4001,341.0,649.0,13872,6226.0,\"Zipline, a Pythonic Algorithmic Trading Library.\",151.0,30,True,2020-10-05 15:46:20.429000,1.4.1,30.0,zipline,,,,,873.0,715.0,https://pypi.org/project/zipline,2020-10-05 15:46:20.429000,158.0,6774.0,6774.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n98,pyecharts,pyecharts/pyecharts,,data-viz,https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000000,2021-05-07 10:24:17.000000,2021-05-07 10:24:17.000000,2420,34.0,1386.0,10960,1515.0,Python Echarts Plotting Library.,30.0,30,True,2020-10-29 15:14:08.000000,1.9.0,66.0,pyecharts,,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,['jupyter'],1890.0,1608.0,https://pypi.org/project/pyecharts,2020-10-29 15:14:08.000000,282.0,47242.0,47242.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n99,Dopamine,google/dopamine,,reinforcement-learning,https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36.000000,2021-05-07 20:10:21.000000,2021-05-07 20:10:19.000000,1254,82.0,78.0,9402,234.0,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,14.0,30,True,2021-03-03 22:26:11.000000,3.1.10,37.0,dopamine-rl,,,,['tensorflow'],62.0,,https://pypi.org/project/dopamine-rl,2021-04-08 17:53:18.000000,62.0,4727658.0,4727658.0,,,,,,,,1.0,,,,,,,,,2.0,,,,,,,,,,,,,,\n100,Annoy,spotify/annoy,,nn-search,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40.000000,2021-05-13 01:38:19.000000,2020-12-03 18:21:18.000000,903,39.0,271.0,8481,785.0,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,68.0,30,True,2020-09-18 16:07:59.000000,1.17.0,43.0,annoy,,,,,1926.0,1566.0,https://pypi.org/project/annoy,2020-09-18 16:07:59.000000,360.0,746368.0,746368.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n101,fuzzywuzzy,seatgeek/fuzzywuzzy,,nlp,https://github.com/seatgeek/fuzzywuzzy,https://github.com/seatgeek/fuzzywuzzy,GPL-2.0,2011-07-08 19:32:34.000000,2021-05-05 06:13:29.000000,2021-02-20 06:36:20.000000,826,97.0,100.0,8070,381.0,Fuzzy String Matching in Python.,68.0,30,False,2020-02-13 22:14:12.000000,0.18.0,27.0,fuzzywuzzy,conda-forge/fuzzywuzzy,,,,11937.0,8731.0,https://pypi.org/project/fuzzywuzzy,2020-02-13 21:06:25.000000,3206.0,5041215.0,5046356.0,https://anaconda.org/conda-forge/fuzzywuzzy,2020-11-18 12:59:01.409000,298182.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n102,wordcloud,amueller/word_cloud,,data-viz,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59.000000,2021-03-21 10:56:17.000000,2021-03-01 23:14:14.000000,2079,100.0,350.0,8054,543.0,A little word cloud generator in Python.,61.0,30,True,2020-11-11 21:41:02.000000,1.8.1,16.0,wordcloud,conda-forge/wordcloud,,,,11985.0,10881.0,https://pypi.org/project/wordcloud,2020-11-11 21:41:02.000000,1104.0,420760.0,424476.0,https://anaconda.org/conda-forge/wordcloud,2021-01-14 18:03:24.960000,211830.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n103,TextBlob,sloria/TextBlob,,nlp,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18.000000,2021-05-11 12:12:42.000000,2021-05-10 13:15:20.000000,995,85.0,150.0,7659,535.0,\"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..\",34.0,30,True,2019-02-24 23:03:17.000000,0.15.3,55.0,textblob,conda-forge/textblob,,,,14477.0,11985.0,https://pypi.org/project/textblob,2019-02-24 23:03:17.000000,2492.0,499487.0,501595.0,https://anaconda.org/conda-forge/textblob,2019-02-24 23:32:55.233000,120167.0,,,,,2.0,90.0,,,,,,,,,,,,,,,,,,,,,,\n104,glfw,glfw/glfw,,image,https://github.com/glfw/glfw,https://github.com/glfw/glfw,Zlib,2013-04-18 15:24:53.000000,2021-05-12 19:03:43.000000,2021-04-23 12:46:47.000000,2746,444.0,1014.0,7607,4241.0,\"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.\",168.0,30,False,2021-04-08 17:55:06.000000,3.3.4,38.0,glfw,conda-forge/glfw,,,,214.0,,https://pypi.org/project/glfw,2021-02-28 20:43:49.000000,214.0,49024.0,81365.0,https://anaconda.org/conda-forge/glfw,2021-04-08 18:43:30.580000,30485.0,,,,,2.0,2309724.0,,,,,,,,,,,,,,,,,,,,,,\n105,Vowpal Wabbit,VowpalWabbit/vowpal_wabbit,,ml-frameworks,https://github.com/VowpalWabbit/vowpal_wabbit,https://github.com/VowpalWabbit/vowpal_wabbit,BSD-3-Clause,2009-07-31 19:36:58.000000,2021-05-13 13:28:48.000000,2021-05-13 13:15:36.000000,1731,141.0,911.0,7543,9168.0,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,300.0,30,True,2021-04-13 13:14:52.000000,8.10.1,16.0,vowpalwabbit,,,,,141.0,125.0,https://pypi.org/project/vowpalwabbit,2021-04-13 13:14:52.000000,16.0,20861.0,20861.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n106,MoviePy,Zulko/moviepy,,image,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000000,2021-05-04 22:50:12.000000,2021-04-15 19:22:41.000000,1030,337.0,722.0,7501,1021.0,Video editing with Python.,139.0,30,True,2020-05-07 16:29:35.000000,1.0.3,84.0,moviepy,conda-forge/moviepy,,,,8493.0,7363.0,https://pypi.org/project/moviepy,2020-10-05 00:26:29.000000,1130.0,674396.0,676142.0,https://anaconda.org/conda-forge/moviepy,2020-02-23 19:57:49.975000,80351.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n107,tensorboardX,lanpa/tensorboardX,,ml-experiments,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19.000000,2021-04-06 13:33:53.253000,2021-04-03 15:54:51.000000,795,63.0,356.0,6945,468.0,\"tensorboard for pytorch (and chainer, mxnet, numpy, ...).\",65.0,30,True,2021-04-25 09:18:11.000000,2.2,13.0,tensorboardX,conda-forge/tensorboardx,,,,13241.0,11907.0,https://pypi.org/project/tensorboardX,2020-07-05 16:22:14.000000,1334.0,870625.0,879725.0,https://anaconda.org/conda-forge/tensorboardx,2021-04-06 13:33:53.253000,363755.0,,,,,2.0,326.0,,,,,,,,,,,,,,,,,,,,,,\n108,Hyperopt,hyperopt/hyperopt,,hyperopt,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59.000000,2021-05-12 13:15:02.000000,2021-03-24 09:17:46.000000,880,343.0,225.0,5599,1172.0,Distributed Asynchronous Hyperparameter Optimization in Python.,87.0,30,True,2020-10-07 09:52:56.000000,0.2.5,11.0,hyperopt,conda-forge/hyperopt,,,,3774.0,3270.0,https://pypi.org/project/hyperopt,2020-10-07 09:52:56.000000,504.0,820570.0,827209.0,https://anaconda.org/conda-forge/hyperopt,2020-10-14 07:57:14.292000,212449.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n109,Chainer,chainer/chainer,,ml-frameworks,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37.000000,2021-02-17 11:20:21.000000,2021-02-17 11:20:21.000000,1374,18.0,2019.0,5572,30575.0,A flexible framework of neural networks for deep learning.,318.0,30,True,2021-01-13 10:14:54.000000,7.0.0.post1,109.0,chainer,,,,,2914.0,2172.0,https://pypi.org/project/chainer,2021-01-13 09:29:55.000000,742.0,25118.0,25118.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n110,Autograd,HIPS/autograd,,others,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23.000000,2021-04-22 18:19:00.000000,2021-03-03 09:27:58.000000,754,164.0,218.0,5227,1376.0,Efficiently computes derivatives of numpy code.,51.0,30,True,2017-08-24 17:00:41.000000,1.1.13,24.0,autograd,conda-forge/autograd,,,,2237.0,1893.0,https://pypi.org/project/autograd,2019-07-25 16:21:07.000000,344.0,1060760.0,1063741.0,https://anaconda.org/conda-forge/autograd,2019-07-25 18:29:55.493000,169933.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n111,sentence-transformers,UKPLab/sentence-transformers,,nlp,https://github.com/UKPLab/sentence-transformers,https://github.com/UKPLab/sentence-transformers,Apache-2.0,2019-07-24 10:53:51.000000,2021-05-13 03:15:51.000000,2021-05-13 03:15:51.000000,948,411.0,441.0,5025,797.0,Multilingual Sentence & Image Embeddings with BERT.,47.0,30,True,2021-05-12 13:14:10.000000,1.2.0,36.0,sentence-transformers,,,,['pytorch'],996.0,996.0,https://pypi.org/project/sentence-transformers,2021-05-12 12:46:11.000000,0.0,851956.0,851956.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n112,Tesseract,madmaze/pytesseract,,ocr,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000000,2021-05-10 20:26:14.000000,2021-05-10 20:26:14.000000,523,7.0,251.0,3575,383.0,Python-tesseract is an optical character recognition (OCR) tool for python.,37.0,30,True,2020-12-15 05:24:52.000000,0.3.7,24.0,pytesseract,conda-forge/pytesseract,,,,1428.0,,https://pypi.org/project/pytesseract,2020-12-15 05:24:52.000000,1428.0,724246.0,744120.0,https://anaconda.org/conda-forge/pytesseract,2021-04-30 15:13:39.702000,437239.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n113,PyCaret,pycaret/pycaret,,ml-experiments,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000000,2021-05-13 14:52:28.000000,2021-05-13 00:45:29.000000,744,198.0,680.0,3413,1739.0,\"An open-source, low-code machine learning library in Python.\",50.0,30,True,2021-04-28 12:36:06.000000,2.3.1,70.0,pycaret,,,,,906.0,906.0,https://pypi.org/project/pycaret,2021-04-28 12:36:06.000000,0.0,67205.0,67244.0,,,,,,,,2.0,390.0,,,,,,,,,,,,,,,,,,,,,,\n114,wandb client,wandb/client,,ml-experiments,https://github.com/wandb/client,https://github.com/wandb/client,MIT,2017-03-24 05:46:23.000000,2021-05-13 02:15:11.000000,2021-05-11 02:16:33.000000,212,309.0,799.0,2949,3976.0,A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.,80.0,30,True,2021-05-07 22:16:22.000000,0.10.30,200.0,wandb,,,,,2956.0,2878.0,https://pypi.org/project/wandb,2021-05-07 22:09:20.000000,78.0,382150.0,382150.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n115,dbt,fishtown-analytics/dbt,,data-pipelines,https://github.com/fishtown-analytics/dbt,https://github.com/fishtown-analytics/dbt,Apache-2.0,2016-03-10 02:38:00.000000,2021-05-13 04:43:31.000000,2021-05-13 01:53:46.000000,565,348.0,1562.0,2930,2481.0,dbt (data build tool) enables data analysts and engineers to transform their data using the same practices that..,149.0,30,True,2021-03-31 18:19:23.000000,0.19.1,152.0,dbt,conda-forge/dbt,,,,288.0,270.0,https://pypi.org/project/dbt,2021-05-03 11:33:43.000000,18.0,334550.0,337594.0,https://anaconda.org/conda-forge/dbt,2021-05-04 13:04:32.097000,164410.0,,,,,2.0,,,,,,,,,,dbt,,,,,,,,,,,,,\n116,torchtext,pytorch/text,,nlp,https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000000,2021-05-13 11:39:11.000000,2021-05-12 17:21:55.000000,624,290.0,324.0,2754,813.0,Data loaders and abstractions for text and NLP.,108.0,30,True,2021-03-25 17:19:08.000000,0.9.1-rc1,14.0,torchtext,,,,['pytorch'],5168.0,4486.0,https://pypi.org/project/torchtext,2021-03-25 16:29:43.000000,682.0,138662.0,138662.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n117,PyQtGraph,pyqtgraph/pyqtgraph,,data-viz,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21.000000,2021-05-13 10:29:08.000000,2021-05-13 04:51:01.000000,825,279.0,541.0,2411,2710.0,Fast data visualization and GUI tools for scientific / engineering applications.,193.0,30,True,2021-04-07 01:54:38.000000,pyqtgraph-0.12.1,14.0,pyqtgraph,conda-forge/pyqtgraph,,,,890.0,,https://pypi.org/project/pyqtgraph,2021-04-07 02:34:28.000000,890.0,62041.0,65437.0,https://anaconda.org/conda-forge/pyqtgraph,2021-04-07 05:35:51.854000,176606.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n118,AzureML SDK,Azure/MachineLearningNotebooks,,ml-experiments,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000000,2021-05-11 05:48:19.000000,2021-05-11 05:48:19.000000,1650,138.0,923.0,2284,1122.0,Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft.,56.0,30,True,2021-04-19 15:48:53.000000,1.27.0,74.0,azureml-sdk,,,,,60.0,,https://pypi.org/project/azureml-sdk,2021-05-10 17:48:53.000000,60.0,688327.0,688340.0,,,,,,,,2.0,414.0,,,,,,,,,,,,,,,,,,,,,,\n119,scikit-optimize,scikit-optimize/scikit-optimize,,hyperopt,https://github.com/scikit-optimize/scikit-optimize,https://github.com/scikit-optimize/scikit-optimize,BSD-3-Clause,2016-03-20 21:10:54.000000,2021-05-12 09:08:10.000000,2021-05-11 07:02:47.000000,396,205.0,370.0,2108,1561.0,Sequential model-based optimization with a `scipy.optimize` interface.,73.0,30,True,2020-09-04 09:08:10.000000,0.8.1,22.0,scikit-optimize,conda-forge/scikit-optimize,,,,1767.0,1607.0,https://pypi.org/project/scikit-optimize,2020-09-04 09:08:10.000000,160.0,1476935.0,1483176.0,https://anaconda.org/conda-forge/scikit-optimize,2020-09-04 09:50:52.372000,287124.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n120,smart-open,RaRe-Technologies/smart_open,,data-loading,https://github.com/RaRe-Technologies/smart_open,https://github.com/RaRe-Technologies/smart_open,MIT,2015-01-02 13:05:52.000000,2021-05-07 12:19:05.000000,2021-05-07 12:19:01.000000,279,56.0,251.0,2035,916.0,\"Utils for streaming large files (S3, HDFS, gzip, bz2...).\",80.0,30,True,2021-03-30 09:56:17.000000,5.0.0,48.0,smart-open,,,,,640.0,,https://pypi.org/project/smart-open,2021-03-30 09:55:04.000000,640.0,13112804.0,13112804.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n121,Geocoder,DenisCarriere/geocoder,,geospatial-data,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21.000000,2020-12-30 04:09:42.000000,2018-10-12 15:53:05.000000,260,90.0,217.0,1356,1251.0,Python Geocoder.,74.0,30,False,2018-04-04 12:34:51.000000,1.38.1,108.0,geocoder,conda-forge/geocoder,,,,4190.0,3346.0,https://pypi.org/project/geocoder,2018-04-04 12:34:51.000000,844.0,1413816.0,1415565.0,https://anaconda.org/conda-forge/geocoder,2019-06-27 16:40:50.469000,89211.0,,,,,2.0,,,,,,,,,,,,,,geocoder,,,,,,,,,\n122,Wand,emcconville/wand,,image,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000000,2021-03-29 02:59:40.000000,2021-03-29 02:59:33.000000,183,14.0,328.0,1083,1698.0,The ctypes-based simple ImageMagick binding for Python.,95.0,30,True,2021-02-28 13:13:25.000000,0.6.6,48.0,wand,,,,,5628.0,4458.0,https://pypi.org/project/wand,2021-02-28 12:46:37.000000,1170.0,290360.0,290533.0,,,,,,,,2.0,5215.0,,,,,,,,,,,,,,,,,,,,,,\n123,Fiona,Toblerity/Fiona,,geospatial-data,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00.000000,2021-04-25 14:27:18.000000,2021-04-25 14:27:18.000000,168,79.0,556.0,805,1094.0,Fiona reads and writes geographic data files.,65.0,30,True,2021-04-07 21:57:31.000000,1.8.19,97.0,fiona,conda-forge/fiona,,,,6893.0,5705.0,https://pypi.org/project/fiona,2021-04-07 21:57:31.000000,1188.0,1354118.0,1385295.0,https://anaconda.org/conda-forge/fiona,2021-04-08 06:39:37.208000,1932974.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n124,Face Recognition,ageitgey/face_recognition,,image,https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39.000000,2021-03-20 02:37:00.000000,2020-09-26 15:32:59.000000,11016,591.0,537.0,39916,211.0,The world's simplest facial recognition api for Python and the command line.,45.0,29,True,2018-08-21 18:34:21.000000,1.2.3,21.0,face_recognition,,,,['pytorch'],406.0,,https://pypi.org/project/face_recognition,2018-08-21 18:34:21.000000,406.0,50479.0,50488.0,,,,,,,,2.0,441.0,,,,,,,,,,,,,,,,,,,,,,\n125,Magenta,magenta/magenta,,audio,https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40.000000,2021-04-19 14:20:10.000000,2021-04-19 14:20:02.000000,3425,307.0,552.0,16613,1387.0,Magenta: Music and Art Generation with Machine Intelligence.,149.0,29,True,2020-11-12 19:17:18.000000,2.1.3,66.0,magenta,,,,['tensorflow'],360.0,290.0,https://pypi.org/project/magenta,2020-11-12 19:17:18.000000,70.0,5516.0,5516.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n126,detectron2,facebookresearch/detectron2,,image,https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000000,2021-05-10 21:19:01.000000,2021-05-10 21:18:57.000000,4218,99.0,2342.0,16369,1132.0,\"Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.\",158.0,29,True,2021-03-13 01:36:49.000000,0.4,8.0,,conda-forge/detectron2,,,['pytorch'],232.0,232.0,,,,,1580.0,https://anaconda.org/conda-forge/detectron2,2021-04-30 18:28:16.538000,18966.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n127,Faiss,facebookresearch/faiss,,nn-search,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000000,2021-05-13 04:46:55.000000,2021-05-12 14:34:39.000000,2177,124.0,1355.0,13489,533.0,A library for efficient similarity search and clustering of dense vectors.,84.0,29,True,2021-04-29 11:27:06.000000,1.1.0,47.0,pymilvus,conda-forge/faiss,,,,371.0,365.0,https://pypi.org/project/pymilvus,2021-04-29 11:27:06.000000,6.0,16916.0,24574.0,https://anaconda.org/conda-forge/faiss,2021-04-19 13:07:02.042000,91905.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n128,Prophet,facebook/prophet,,time-series-data,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000000,2021-05-11 23:44:25.000000,2021-05-11 23:44:25.000000,3647,76.0,1525.0,12700,667.0,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,132.0,29,True,2021-04-02 23:45:16.000000,1.0,14.0,fbprophet,,,,,150.0,,https://pypi.org/project/fbprophet,2020-09-05 16:12:50.000000,150.0,792808.0,792820.0,,,,,,,,1.0,604.0,,,,,,,,,,,,,,,,,,,,,,\n129,EasyOCR,JaidedAI/EasyOCR,,ocr,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000000,2021-05-07 03:02:54.000000,2021-05-07 03:02:54.000000,1267,122.0,186.0,11415,404.0,\"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..\",78.0,29,True,2021-04-24 01:07:20.000000,1.3.1,22.0,easyocr,,,,,219.0,219.0,https://pypi.org/project/easyocr,2021-04-24 01:07:20.000000,0.0,18492.0,44009.0,,,,,,,,1.0,280695.0,,,,,,,,,,,,,,,,,,,,,,\n130,horovod,horovod/horovod,,distributed-ml,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000000,2021-05-12 18:01:00.000000,2021-05-08 13:08:53.000000,1820,237.0,1550.0,11190,930.0,\"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.\",119.0,29,True,2021-02-15 20:51:41.000000,0.21.3,64.0,horovod,,,,,405.0,365.0,https://pypi.org/project/horovod,2021-02-15 20:51:41.000000,40.0,46010.0,46010.0,,,,,,,,2.0,,stable/horovod,,,,,,,,,,,,,,,,,,,,,\n131,PyTorch Geometric,rusty1s/pytorch_geometric,,graph,https://github.com/rusty1s/pytorch_geometric,https://github.com/rusty1s/pytorch_geometric,MIT,2017-10-06 16:03:03.000000,2021-05-13 14:01:12.000000,2021-05-13 14:01:09.000000,1889,771.0,1226.0,10987,4447.0,Geometric Deep Learning Extension Library for PyTorch.,162.0,29,True,2021-04-09 08:44:51.000000,1.7.0,26.0,torch-geometric,,,,['pytorch'],24.0,,https://pypi.org/project/torch-geometric,2020-12-02 14:54:13.000000,24.0,37925.0,37925.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n132,TFlearn,tflearn/tflearn,,ml-frameworks,https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,MIT,2016-03-31 12:05:53.000000,2021-01-25 09:41:59.000000,2020-11-30 04:34:51.000000,2429,563.0,361.0,9536,613.0,Deep learning library featuring a higher-level API for TensorFlow.,128.0,29,True,2020-11-11 19:26:11.000000,0.5.0,8.0,tflearn,,,,['tensorflow'],4195.0,3233.0,https://pypi.org/project/tflearn,2020-11-11 19:13:47.000000,962.0,17977.0,17977.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n133,Sonnet,deepmind/sonnet,,ml-frameworks,https://github.com/deepmind/sonnet,https://github.com/deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35.000000,2021-03-15 18:24:14.000000,2021-03-15 18:23:31.000000,1271,19.0,137.0,8854,545.0,TensorFlow-based neural network library.,51.0,29,True,2020-03-27 10:36:19.000000,2.0.0,27.0,dm-sonnet,conda-forge/sonnet,,,['tensorflow'],658.0,576.0,https://pypi.org/project/dm-sonnet,2020-03-27 10:36:10.000000,82.0,79984.0,80493.0,https://anaconda.org/conda-forge/sonnet,2020-11-14 18:13:23.843000,9163.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n134,Lime,marcotcr/lime,,interpretability,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10.000000,2021-05-10 15:19:09.000000,2021-01-12 16:12:17.000000,1402,63.0,446.0,8719,508.0,Lime: Explaining the predictions of any machine learning classifier.,57.0,29,True,2020-04-03 22:05:03.000000,0.2.0.0,38.0,lime,conda-forge/lime,,,,1375.0,1247.0,https://pypi.org/project/lime,2020-06-26 21:38:15.000000,128.0,344654.0,346007.0,https://anaconda.org/conda-forge/lime,2020-06-28 01:02:41.538000,71736.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n135,TPOT,EpistasisLab/tpot,,hyperopt,https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40.000000,2021-03-17 21:46:35.000000,2021-01-06 15:17:46.000000,1396,214.0,596.0,7995,2368.0,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,108.0,29,False,2021-01-06 15:20:08.000000,0.11.7,60.0,tpot,conda-forge/tpot,,,['sklearn'],1051.0,971.0,https://pypi.org/project/tpot,2021-01-06 15:20:08.000000,80.0,27976.0,30080.0,https://anaconda.org/conda-forge/tpot,2021-03-05 04:04:38.005000,117826.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n136,Modin,modin-project/modin,,data-containers,https://github.com/modin-project/modin,https://github.com/modin-project/modin,Apache-2.0,2018-06-21 21:35:05.000000,2021-05-13 14:49:54.000000,2021-05-12 15:53:40.000000,426,500.0,1221.0,6044,1365.0,Modin: Speed up your Pandas workflows by changing a single line of code.,75.0,29,True,2021-03-16 02:04:13.000000,0.9.1,37.0,modin,,,,['pandas'],379.0,361.0,https://pypi.org/project/modin,2021-03-04 23:04:25.000000,18.0,149364.0,155111.0,,,,,,,,2.0,195415.0,,,,,,,,,,,,,,,,,,,,,,\n137,SpeechRecognition,Uberi/speech_recognition,,audio,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54.000000,2021-02-28 19:52:57.000000,2019-07-02 17:29:47.000000,1918,222.0,271.0,5614,360.0,\"Speech recognition module for Python, supporting several engines and APIs, online and offline.\",41.0,29,False,2017-12-05 14:05:14.000000,3.8.1,52.0,SpeechRecognition,conda-forge/speechrecognition,,,,9307.0,8219.0,https://pypi.org/project/SpeechRecognition,2017-12-05 13:58:29.000000,1088.0,160980.0,162928.0,https://anaconda.org/conda-forge/speechrecognition,2021-01-11 17:26:33.040000,111079.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n138,faust,robinhood/faust,,data-pipelines,https://github.com/robinhood/faust,https://github.com/robinhood/faust,BSD-3-Clause,2017-03-08 18:36:11.000000,2021-04-21 18:29:47.000000,2020-10-09 12:59:42.000000,459,236.0,226.0,5534,4137.0,Python Stream Processing.,91.0,29,True,2020-02-25 22:57:18.000000,1.10.4,46.0,faust,,,,,765.0,737.0,https://pypi.org/project/faust,2020-02-25 22:57:18.000000,28.0,781638.0,781638.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n139,yfinance,ranaroussi/yfinance,,financial-data,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000000,2021-05-04 10:50:37.000000,2021-03-25 00:42:57.000000,1224,308.0,229.0,4933,,Yahoo! Finance market data downloader (+faster Pandas Datareader).,36.0,29,True,2021-03-25 00:43:03.000000,0.1.59,24.0,yfinance,ranaroussi/yfinance,,,,4442.0,4416.0,https://pypi.org/project/yfinance,2021-03-25 00:43:03.000000,26.0,215051.0,217248.0,https://anaconda.org/ranaroussi/yfinance,2019-12-27 21:30:44.606000,46155.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n140,TinyDB,msiemens/tinydb,,data-containers,https://github.com/msiemens/tinydb,https://github.com/msiemens/tinydb,MIT,2013-07-12 23:31:13.000000,2021-05-06 13:48:20.000000,2021-04-19 18:15:07.000000,370,8.0,248.0,4246,614.0,TinyDB is a lightweight document oriented database optimized for your happiness :).,64.0,29,True,2021-02-11 19:31:26.000000,4.4.0,59.0,tinydb,conda-forge/tinydb,,,,1118.0,,https://pypi.org/project/tinydb,2021-02-11 19:31:24.000000,1118.0,288849.0,290842.0,https://anaconda.org/conda-forge/tinydb,2021-02-11 21:20:33.462000,117603.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n141,kaggle,Kaggle/kaggle-api,,ml-experiments,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000000,2021-03-19 16:43:36.000000,2021-03-15 15:49:05.000000,806,177.0,118.0,4030,145.0,Official Kaggle API.,36.0,29,True,2021-03-13 00:50:03.000000,1.5.12,48.0,kaggle,conda-forge/kaggle,,,,5913.0,5349.0,https://pypi.org/project/kaggle,2021-03-13 00:50:03.000000,564.0,188776.0,191105.0,https://anaconda.org/conda-forge/kaggle,2021-03-16 16:09:03.613000,55900.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n142,Kedro,quantumblacklabs/kedro,,data-pipelines,https://github.com/quantumblacklabs/kedro,https://github.com/quantumblacklabs/kedro,Apache-2.0,2019-04-18 10:29:56.000000,2021-05-13 07:05:03.000000,2021-05-13 06:04:50.000000,443,54.0,424.0,3837,1229.0,\"A Python framework for creating reproducible, maintainable and modular data science code.\",106.0,29,True,2021-04-21 15:12:01.000000,0.17.3,27.0,kedro,,,,,482.0,466.0,https://pypi.org/project/kedro,2021-04-21 15:12:51.000000,16.0,139368.0,139368.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n143,Ignite,pytorch/ignite,,ml-frameworks,https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000000,2021-05-13 00:10:46.000000,2021-05-11 21:44:17.000000,449,104.0,715.0,3552,1108.0,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,136.0,29,True,2021-03-03 23:10:39.000000,0.4.4,553.0,pytorch-ignite,pytorch/ignite,,,['pytorch'],941.0,879.0,https://pypi.org/project/pytorch-ignite,2021-05-13 00:10:46.000000,62.0,45926.0,47638.0,https://anaconda.org/pytorch/ignite,2021-03-03 23:10:32.721000,59949.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n144,MLxtend,rasbt/mlxtend,,sklearn-utils,https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16.000000,2021-05-09 15:37:54.000000,2021-05-09 15:37:54.000000,704,95.0,287.0,3479,1218.0,A library of extension and helper modules for Python's data analysis and machine learning libraries.,84.0,29,True,2020-11-26 04:18:15.000000,0.18.0,46.0,mlxtend,conda-forge/mlxtend,,,['sklearn'],3345.0,3155.0,https://pypi.org/project/mlxtend,2020-11-26 04:18:15.000000,190.0,320971.0,324589.0,https://anaconda.org/conda-forge/mlxtend,2020-11-26 05:32:00.667000,166442.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n145,sacred,IDSIA/sacred,,ml-experiments,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29.000000,2021-04-27 12:19:28.000000,2021-04-27 12:19:28.000000,315,92.0,405.0,3441,1305.0,\"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.\",92.0,29,True,2020-12-14 15:21:05.000000,0.8.2,27.0,sacred,,,,,1068.0,914.0,https://pypi.org/project/sacred,2020-12-14 15:21:05.000000,154.0,22696.0,22696.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n146,Dedupe,dedupeio/dedupe,,nlp,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36.000000,2021-05-13 13:24:58.000000,2021-04-17 00:27:42.000000,423,60.0,583.0,3012,2813.0,\"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.\",56.0,29,True,2021-02-28 20:52:16.000000,2.0.7,159.0,dedupe,,,,,264.0,186.0,https://pypi.org/project/dedupe,2021-04-17 00:35:34.000000,78.0,81687.0,81687.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n147,ftfy,LuminosoInsight/python-ftfy,,nlp,https://github.com/LuminosoInsight/python-ftfy,https://github.com/LuminosoInsight/python-ftfy,MIT,2012-08-24 16:14:59.000000,2021-05-07 17:22:16.000000,2021-05-04 17:36:06.000000,102,12.0,103.0,2963,585.0,\"Fixes mojibake and other glitches in Unicode text, after the fact.\",17.0,29,True,2021-04-16 14:45:14.000000,6.0.1,44.0,ftfy,conda-forge/ftfy,,,,3962.0,3202.0,https://pypi.org/project/ftfy,2021-04-16 14:45:14.000000,760.0,989607.0,991728.0,https://anaconda.org/conda-forge/ftfy,2021-04-19 06:46:27.267000,103976.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n148,Koalas,databricks/koalas,,data-containers,https://github.com/databricks/koalas,https://github.com/databricks/koalas,Apache-2.0,2019-01-03 21:46:54.000000,2021-05-12 21:11:01.000000,2021-05-03 00:35:18.000000,310,116.0,443.0,2795,1536.0,Koalas: pandas API on Apache Spark.,50.0,29,True,2021-05-03 00:39:34.000000,1.8.0,45.0,koalas,conda-forge/koalas,,,\"['spark', 'pandas']\",94.0,92.0,https://pypi.org/project/koalas,2021-05-03 00:38:09.000000,2.0,2932725.0,2936393.0,https://anaconda.org/conda-forge/koalas,2021-05-03 04:19:17.678000,87142.0,,,,,2.0,996.0,,,,,,,,,,,,,,,,,,,,,,\n149,mrjob,Yelp/mrjob,,data-pipelines,https://github.com/Yelp/mrjob,https://github.com/Yelp/mrjob,Apache-2.0,2010-10-13 18:35:21.000000,2021-03-31 18:37:58.000000,2020-11-16 22:20:52.000000,590,202.0,1089.0,2543,8622.0,Run MapReduce jobs on Hadoop or Amazon Web Services.,142.0,29,True,2020-09-17 22:26:01.000000,0.7.4,60.0,mrjob,conda-forge/mrjob,,,,842.0,730.0,https://pypi.org/project/mrjob,2020-09-17 22:26:01.000000,112.0,95576.0,101866.0,https://anaconda.org/conda-forge/mrjob,2020-12-24 22:44:29.424000,352287.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n150,NMSLIB,nmslib/nmslib,,nn-search,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06.000000,2021-03-16 02:11:45.000000,2021-03-16 02:11:39.000000,339,42.0,322.0,2399,1503.0,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,44.0,29,True,2021-02-03 16:40:09.000000,2.1.1,32.0,nmslib,conda-forge/nmslib,,,,426.0,374.0,https://pypi.org/project/nmslib,2021-02-03 00:02:08.000000,52.0,75670.0,77730.0,https://anaconda.org/conda-forge/nmslib,2021-01-08 16:19:07.762000,26782.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n151,GPyTorch,cornellius-gp/gpytorch,,probabilistics,https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000000,2021-05-12 20:35:22.000000,2021-05-12 18:11:34.000000,338,207.0,695.0,2387,3435.0,A highly efficient and modular implementation of Gaussian Processes in PyTorch.,79.0,29,True,2021-04-15 13:43:21.000000,1.4.1,27.0,gpytorch,,,,['pytorch'],284.0,276.0,https://pypi.org/project/gpytorch,2021-04-15 13:43:21.000000,8.0,60306.0,60306.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n152,hmmlearn,hmmlearn/hmmlearn,,probabilistics,https://github.com/hmmlearn/hmmlearn,https://github.com/hmmlearn/hmmlearn,BSD-3-Clause,2014-03-23 10:33:09.000000,2021-05-11 16:31:39.000000,2021-05-11 16:31:39.000000,647,66.0,293.0,2254,359.0,\"Hidden Markov Models in Python, with scikit-learn like API.\",33.0,29,True,2021-02-03 14:33:20.000000,0.2.5,7.0,hmmlearn,conda-forge/hmmlearn,,,['sklearn'],1176.0,970.0,https://pypi.org/project/hmmlearn,2021-02-03 14:32:44.000000,206.0,151281.0,153903.0,https://anaconda.org/conda-forge/hmmlearn,2021-02-04 16:23:17.046000,78671.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n153,pandas-datareader,pydata/pandas-datareader,,data-loading,https://github.com/pydata/pandas-datareader,https://github.com/pydata/pandas-datareader,BSD-3-Clause,2015-01-15 00:34:19.000000,2021-05-12 09:10:01.000000,2020-12-31 11:58:23.000000,521,86.0,371.0,1993,764.0,Extract data from a wide range of Internet sources into a pandas DataFrame.,77.0,29,True,2020-07-10 10:04:14.000000,0.9.0,21.0,pandas-datareader,conda-forge/pandas-datareader,,,['pandas'],10673.0,9267.0,https://pypi.org/project/pandas-datareader,2020-07-10 10:04:14.000000,1406.0,234876.0,237272.0,https://anaconda.org/conda-forge/pandas-datareader,2021-03-16 22:58:42.079000,117429.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n154,ImageHash,JohannesBuchner/imagehash,,image,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48.000000,2021-03-25 13:32:22.000000,2021-01-03 14:55:15.000000,258,22.0,76.0,1951,184.0,A Python Perceptual Image Hashing Module.,17.0,29,True,2021-03-25 13:49:48.000000,4.1.0,17.0,ImageHash,conda-forge/imagehash,,,,3075.0,2543.0,https://pypi.org/project/ImageHash,2020-11-19 14:54:24.000000,532.0,784067.0,786253.0,https://anaconda.org/conda-forge/imagehash,2020-11-19 18:20:49.964000,118063.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n155,HoloViews,holoviz/holoviews,,data-viz,https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000000,2021-05-10 15:05:39.000000,2021-05-10 15:05:39.000000,307,711.0,1849.0,1887,10168.0,\"With Holoviews, your data visualizes itself.\",104.0,29,True,2021-04-26 15:45:22.000000,1.14.3,70.0,holoviews,conda-forge/holoviews,,,['jupyter'],170.0,,https://pypi.org/project/holoviews,2021-04-08 13:54:50.000000,170.0,111934.0,126014.0,https://anaconda.org/conda-forge/holoviews,2021-04-08 15:16:37.674000,485300.0,,,,,2.0,,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,2020-05-24 13:49:54.205000,,5992.0,,,,,,,,,,,,,,,,\n156,hdbscan,scikit-learn-contrib/hdbscan,,others,https://github.com/scikit-learn-contrib/hdbscan,https://github.com/scikit-learn-contrib/hdbscan,BSD-3-Clause,2015-04-22 13:32:37.000000,2021-04-07 15:55:02.000000,2021-04-07 15:55:02.000000,339,225.0,146.0,1877,884.0,A high performance implementation of HDBSCAN clustering.,69.0,29,True,2021-02-03 20:21:02.000000,0.8.27,43.0,hdbscan,conda-forge/hdbscan,,,['sklearn'],955.0,831.0,https://pypi.org/project/hdbscan,2021-02-03 20:21:02.000000,124.0,189346.0,200733.0,https://anaconda.org/conda-forge/hdbscan,2021-02-14 03:07:15.749000,660499.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n157,Lifelines,CamDavidsonPilon/lifelines,,medical-data,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42.000000,2021-04-29 14:08:33.000000,2021-04-15 16:51:28.000000,420,200.0,600.0,1612,2111.0,Survival analysis in Python.,93.0,29,True,2021-04-13 14:41:27.000000,0.25.11,156.0,lifelines,conda-forge/lifelines,,,,692.0,566.0,https://pypi.org/project/lifelines,2021-04-13 14:41:27.000000,126.0,229587.0,232040.0,https://anaconda.org/conda-forge/lifelines,2021-04-06 18:57:53.837000,144749.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n158,Cartopy,mapbox/rasterio,,geospatial-data,https://github.com/mapbox/rasterio,https://github.com/mapbox/rasterio,LGPL-3.0,2013-11-04 16:36:27.000000,2021-05-11 16:30:06.000000,2021-05-03 18:53:09.000000,406,141.0,1245.0,1488,3317.0,Rasterio reads and writes geospatial raster datasets.,109.0,29,False,2021-04-21 16:59:37.000000,0.19.0,22.0,Cartopy,conda-forge/cartopy,,,,3501.0,3155.0,https://pypi.org/project/Cartopy,2021-04-23 16:49:22.000000,346.0,62613.0,87594.0,https://anaconda.org/conda-forge/cartopy,2021-05-05 04:47:46.742000,1548225.0,,,,,3.0,732.0,,,,,,,,,,,,,,,,,,,,,,\n159,pyLDAvis,bmabey/pyLDAvis,,interpretability,https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03.000000,2021-04-22 23:16:41.000000,2021-03-24 13:03:31.000000,302,75.0,75.0,1448,240.0,Python library for interactive topic model visualization. Port of the R LDAvis package.,32.0,29,True,2021-03-24 13:05:21.000000,3.3.1,24.0,pyldavis,conda-forge/pyldavis,,,['jupyter'],2311.0,2113.0,https://pypi.org/project/pyldavis,2021-03-24 12:57:08.000000,198.0,171277.0,171968.0,https://anaconda.org/conda-forge/pyldavis,2021-03-24 15:17:07.309000,24192.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n160,torchaudio,pytorch/audio,,audio,https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000000,2021-05-13 11:30:46.000000,2021-05-12 19:23:49.000000,311,143.0,319.0,1306,850.0,\"Data manipulation and transformation for audio signal processing, powered by PyTorch.\",122.0,29,True,2021-03-25 16:30:33.000000,0.8.1,14.0,torchaudio,,,,['pytorch'],2853.0,2835.0,https://pypi.org/project/torchaudio,2021-03-25 16:29:07.000000,18.0,227784.0,227784.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n161,ipyleaflet,jupyter-widgets/ipyleaflet,,geospatial-data,https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10.000000,2021-05-12 06:28:39.000000,2021-05-12 06:28:31.000000,290,154.0,257.0,1118,916.0,A Jupyter - Leaflet.js bridge.,64.0,29,True,2021-01-05 16:38:38.000000,0.13.6,70.0,ipyleaflet,conda-forge/ipyleaflet,,,['jupyter'],936.0,836.0,https://pypi.org/project/ipyleaflet,2021-01-05 16:38:38.000000,98.0,46117.0,80182.0,https://anaconda.org/conda-forge/ipyleaflet,2021-01-16 23:51:37.383000,668727.0,,,,,3.0,,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2021-01-05 16:30:30.235000,2.0,22920.0,,,,,,,,,,,,,,,,\n162,PyTables,PyTables/PyTables,,data-containers,https://github.com/PyTables/PyTables,https://github.com/PyTables/PyTables,BSD-3-Clause,2011-06-03 19:44:46.000000,2021-03-26 00:08:03.000000,2021-03-20 09:04:48.000000,204,168.0,450.0,1023,3954.0,A Python package to manage extremely large amounts of data.,98.0,29,True,2019-10-30 19:33:37.000000,3.6.1,25.0,tables,conda-forge/pytables,,,,3754.0,,https://pypi.org/project/tables,2019-10-30 19:33:37.000000,3754.0,650585.0,695834.0,https://anaconda.org/conda-forge/pytables,2021-01-14 18:41:06.536000,2579103.0,,,,,2.0,135.0,,,,,,,,,,,,,,,,,,,,,,\n163,Graphviz,xflr6/graphviz,,data-viz,https://github.com/xflr6/graphviz,https://github.com/xflr6/graphviz,MIT,2014-01-12 17:49:29.000000,2021-05-01 11:34:32.000000,2021-05-01 11:33:33.000000,144,9.0,101.0,988,467.0,Simple Python interface for Graphviz.,15.0,29,True,2020-10-07 09:06:41.000000,0.14.2,47.0,graphviz,,,,,24490.0,20108.0,https://pypi.org/project/graphviz,2020-12-24 16:17:24.000000,4382.0,5960295.0,5960295.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n164,snakemake,snakemake/snakemake,,ml-experiments,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867000,2021-05-12 14:22:26.000000,2021-05-08 20:17:16.000000,212,407.0,228.0,964,4056.0,\"This is the development home of the workflow management system Snakemake. For general information, see.\",199.0,29,True,2021-04-29 11:57:41.000000,6.3.0,173.0,snakemake,bioconda/snakemake,,,,1093.0,805.0,https://pypi.org/project/snakemake,2021-04-29 11:58:20.000000,288.0,36159.0,40577.0,https://anaconda.org/bioconda/snakemake,2021-05-05 12:02:31.031000,296067.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n165,TensorFlow Transform,tensorflow/transform,,tensorflow-utils,https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53.000000,2021-05-13 00:57:38.000000,2021-05-13 00:57:34.000000,171,24.0,139.0,869,647.0,Input pipeline framework.,27.0,29,True,2021-04-26 22:26:24.000000,0.30.0,37.0,tensorflow-transform,,,,['tensorflow'],541.0,457.0,https://pypi.org/project/tensorflow-transform,2021-04-26 22:26:24.000000,84.0,7916754.0,7916754.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n166,Nilearn,nilearn/nilearn,,medical-data,https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000000,2021-05-13 14:37:40.000000,2021-05-13 02:47:59.000000,410,378.0,1207.0,741,9355.0,Machine learning for NeuroImaging in Python.,171.0,29,True,2020-11-12 11:44:49.000000,0.7.0,36.0,nilearn,conda-forge/nilearn,,,['sklearn'],1298.0,996.0,https://pypi.org/project/nilearn,2021-03-10 13:17:17.000000,302.0,26521.0,28115.0,https://anaconda.org/conda-forge/nilearn,2021-03-10 17:33:32.831000,95668.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n167,Bottleneck,pydata/bottleneck,,data-containers,https://github.com/pydata/bottleneck,https://github.com/pydata/bottleneck,BSD-2-Clause,2010-11-27 23:21:22.000000,2021-03-22 17:21:10.000000,2021-01-24 18:39:03.000000,65,29.0,177.0,608,1241.0,Fast NumPy array functions written in C.,21.0,29,True,2020-02-21 06:22:16.000000,1.3.2,21.0,Bottleneck,conda-forge/bottleneck,,,,24512.0,21620.0,https://pypi.org/project/Bottleneck,2020-02-21 06:22:16.000000,2892.0,398738.0,424434.0,https://anaconda.org/conda-forge/bottleneck,2021-01-21 02:48:32.623000,1541809.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n168,NiBabel,nipy/nibabel,,medical-data,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30.000000,2021-05-13 12:46:50.000000,2021-05-13 11:10:54.000000,214,112.0,297.0,403,4987.0,Python package to access a cacophony of neuro-imaging file formats.,91.0,29,True,2020-11-28 22:19:50.000000,3.2.1,32.0,nibabel,conda-forge/nibabel,,,,5580.0,4316.0,https://pypi.org/project/nibabel,2020-11-28 22:18:23.000000,1264.0,107633.0,113215.0,https://anaconda.org/conda-forge/nibabel,2020-11-29 03:40:05.178000,334950.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n169,Rasa,RasaHQ/rasa,,nlp,https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49.000000,2021-05-13 12:52:43.000000,2021-05-12 18:26:57.000000,3492,672.0,4780.0,11321,,\"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..\",485.0,28,True,2021-05-11 17:01:45.000000,2.6.1,200.0,rasa,,,,['tensorflow'],64.0,,https://pypi.org/project/rasa,2021-05-11 17:01:36.000000,64.0,183226.0,183226.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n170,PyTorch Image Models,rwightman/pytorch-image-models,,image,https://github.com/rwightman/pytorch-image-models,https://github.com/rwightman/pytorch-image-models,Apache-2.0,2019-02-02 05:51:12.000000,2021-05-11 18:13:32.000000,2021-05-11 17:50:46.000000,1427,29.0,281.0,9627,875.0,\"PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision..\",42.0,28,True,2021-05-04 01:18:40.000000,0.1-rs-weights,21.0,,,,,['pytorch'],536.0,536.0,,,,,14968.0,,,,,,,,2.0,359247.0,,,,,,,,,,,,,,,,,,,,,,\n171,pretrainedmodels,Cadene/pretrained-models.pytorch,,pytorch-utils,https://github.com/Cadene/pretrained-models.pytorch,https://github.com/Cadene/pretrained-models.pytorch,BSD-3-Clause,2017-04-09 15:54:23.000000,2020-06-08 16:06:59.000000,2020-04-16 08:02:22.000000,1655,88.0,88.0,7952,154.0,\"Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.\",22.0,28,False,2018-10-29 08:18:45.000000,0.7.4,16.0,pretrainedmodels,,,,['pytorch'],1109.0,1005.0,https://pypi.org/project/pretrainedmodels,2018-10-29 08:18:45.000000,104.0,67190.0,67190.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n172,Albumentations,albumentations-team/albumentations,,image,https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000000,2021-05-11 16:13:23.000000,2021-05-11 13:24:04.000000,1001,183.0,257.0,7913,632.0,Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation:..,78.0,28,True,2020-11-29 14:30:07.000000,0.5.2,44.0,albumentations,conda-forge/albumentations,,,['pytorch'],3746.0,3618.0,https://pypi.org/project/albumentations,2020-11-29 14:30:07.000000,128.0,158172.0,158956.0,https://anaconda.org/conda-forge/albumentations,2020-11-29 15:51:47.610000,18037.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n173,Pyro,pyro-ppl/pyro,,probabilistics,https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000000,2021-05-13 09:27:11.000000,2021-05-13 03:21:53.000000,826,140.0,696.0,6911,2188.0,Deep universal probabilistic programming with Python and PyTorch.,107.0,28,True,2021-03-04 23:01:34.000000,1.6.0,26.0,pyro-ppl,,,,['pytorch'],480.0,444.0,https://pypi.org/project/pyro-ppl,2021-03-04 23:05:10.000000,36.0,33932.0,33932.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n174,tensorpack,tensorpack/tensorpack,,ml-frameworks,https://github.com/tensorpack/tensorpack,https://github.com/tensorpack/tensorpack,Apache-2.0,2015-12-25 23:08:44.000000,2021-05-07 09:16:06.000000,2021-05-07 09:15:27.000000,1772,10.0,1317.0,6009,2933.0,\"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.\",55.0,28,True,2020-04-24 19:01:06.000000,0.10.1,37.0,tensorpack,,,,['tensorflow'],835.0,759.0,https://pypi.org/project/tensorpack,2021-01-22 08:44:03.000000,76.0,17091.0,17093.0,,,,,,,,3.0,119.0,,,,,,,,,,,,,,,,,,,,,,\n175,DeepPavlov,deepmipt/DeepPavlov,,nlp,https://github.com/deepmipt/DeepPavlov,https://github.com/deepmipt/DeepPavlov,Apache-2.0,2017-11-17 14:35:29.000000,2021-05-13 14:07:13.000000,2021-04-03 15:53:30.000000,933,118.0,461.0,5188,2581.0,An open source library for deep learning end-to-end dialog systems and chatbots.,61.0,28,True,2021-04-03 16:00:08.000000,0.14.1,42.0,deeppavlov,,,,['tensorflow'],200.0,192.0,https://pypi.org/project/deeppavlov,2021-04-03 16:00:08.000000,8.0,8591.0,8591.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n176,Bayesian Optimization,fmfn/BayesianOptimization,,hyperopt,https://github.com/fmfn/BayesianOptimization,https://github.com/fmfn/BayesianOptimization,MIT,2014-06-06 08:18:56.000000,2021-05-01 01:55:39.000000,2020-12-19 01:11:23.000000,1100,40.0,166.0,5106,199.0,A Python implementation of global optimization with gaussian processes.,27.0,28,True,2020-05-16 16:03:51.000000,1.2.0,8.0,bayesian-optimization,,,,,823.0,731.0,https://pypi.org/project/bayesian-optimization,2020-05-16 15:56:09.000000,92.0,99348.0,99349.0,,,,,,,,1.0,54.0,,,,,,,,,,,,,,,,,,,,,,\n177,OpenNMT,OpenNMT/OpenNMT-py,,nlp,https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000000,2021-05-10 15:52:10.000000,2021-05-07 15:58:33.000000,1814,104.0,1151.0,5007,2567.0,Open Source Neural Machine Translation in PyTorch.,170.0,28,True,2021-04-30 16:40:40.000000,2.1.2,31.0,OpenNMT-py,,,,['pytorch'],92.0,88.0,https://pypi.org/project/OpenNMT-py,2021-04-30 16:41:28.000000,4.0,4992.0,4992.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n178,GluonCV,dmlc/gluon-cv,,image,https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21.000000,2021-05-13 09:02:12.000000,2021-05-12 21:35:55.000000,1079,377.0,391.0,4722,862.0,Gluon CV Toolkit.,112.0,28,True,2021-03-28 22:53:04.000000,0.10.1,1089.0,gluoncv,,,,['mxnet'],515.0,485.0,https://pypi.org/project/gluoncv,2021-05-13 09:02:12.000000,30.0,64554.0,64554.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n179,snorkel,snorkel-team/snorkel,,data-loading,https://github.com/snorkel-team/snorkel,https://github.com/snorkel-team/snorkel,Apache-2.0,2016-02-26 05:52:45.000000,2021-05-01 01:00:43.000000,2021-03-13 23:03:14.000000,735,26.0,920.0,4602,2652.0,A system for quickly generating training data with weak supervision.,64.0,28,True,2021-03-09 21:51:40.000000,0.9.7,19.0,snorkel,conda-forge/snorkel,,,,92.0,84.0,https://pypi.org/project/snorkel,2021-03-09 21:39:08.000000,8.0,99168.0,100015.0,https://anaconda.org/conda-forge/snorkel,2021-04-30 15:16:48.270000,18354.0,,,,,3.0,678.0,,,,,,,,,,,,,,,,,,,,,,\n180,csvkit,wireservice/csvkit,,data-loading,https://github.com/wireservice/csvkit,https://github.com/wireservice/csvkit,MIT,2011-04-01 03:00:30.000000,2021-04-01 14:02:02.000000,2021-03-10 22:01:27.000000,535,57.0,756.0,4582,1696.0,\"A suite of utilities for converting to and working with CSV, the king of tabular file formats.\",92.0,28,True,2020-03-03 03:00:28.000000,1.0.5,33.0,csvkit,conda-forge/csvkit,,,,1566.0,864.0,https://pypi.org/project/csvkit,2020-03-03 03:00:28.000000,702.0,49112.0,50100.0,https://anaconda.org/conda-forge/csvkit,2019-05-28 12:30:50.171000,49440.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n181,PyOD,yzhao062/pyod,,others,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04.000000,2021-05-10 06:46:17.000000,2021-04-27 01:56:37.000000,903,114.0,86.0,4483,1264.0,(JMLR'19) A Python Toolbox for Scalable Outlier Detection (Anomaly Detection).,23.0,28,True,2021-04-27 02:04:22.000000,V0.8.8,66.0,pyod,,,,,625.0,619.0,https://pypi.org/project/pyod,2021-04-27 02:01:41.000000,6.0,155165.0,155165.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n182,librosa,librosa/librosa,,audio,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000000,2021-05-10 18:55:13.000000,2021-05-10 18:55:09.000000,735,72.0,814.0,4471,,Python library for audio and music analysis.,87.0,28,True,2020-07-22 01:34:55.000000,0.8.0,28.0,librosa,conda-forge/librosa,,,,12736.0,10986.0,https://pypi.org/project/librosa,2020-07-22 01:34:55.000000,1750.0,511662.0,516460.0,https://anaconda.org/conda-forge/librosa,2020-07-22 10:27:18.402000,278290.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n183,DEAP,deap/deap,,distributed-ml,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39.000000,2021-05-08 10:26:27.000000,2021-05-08 10:26:27.000000,877,207.0,227.0,4200,2149.0,Distributed Evolutionary Algorithms in Python.,68.0,28,False,2020-01-21 01:18:06.000000,1.3.1,16.0,deap,conda-forge/deap,,,,2308.0,1826.0,https://pypi.org/project/deap,2020-01-21 01:18:06.000000,482.0,117103.0,119298.0,https://anaconda.org/conda-forge/deap,2021-01-13 14:43:13.393000,129521.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n184,Kornia,kornia/kornia,,image,https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000000,2021-05-11 15:34:17.000000,2021-05-11 15:34:16.000000,397,96.0,303.0,3989,1568.0,Open Source Differentiable Computer Vision Library for PyTorch.,100.0,28,True,2021-04-30 13:56:58.000000,0.5.1,14.0,kornia,,,,['pytorch'],369.0,369.0,https://pypi.org/project/kornia,2021-04-30 13:56:58.000000,0.0,57233.0,57233.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n185,pyfolio,quantopian/pyfolio,,financial-data,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39.000000,2021-04-04 14:32:26.000000,2020-07-15 13:46:58.000000,1152,129.0,264.0,3756,1184.0,Portfolio and risk analytics in Python.,55.0,28,True,2019-04-15 15:00:21.000000,0.9.2,22.0,pyfolio,conda-forge/pyfolio,,,,292.0,238.0,https://pypi.org/project/pyfolio,2019-04-15 15:00:21.000000,54.0,10270.0,10431.0,https://anaconda.org/conda-forge/pyfolio,2020-05-16 14:11:57.267000,6296.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n186,imutils,jrosebr1/imutils,,image,https://github.com/jrosebr1/imutils,https://github.com/jrosebr1/imutils,MIT,2015-01-11 20:05:39.000000,2021-03-23 17:44:24.000000,2021-01-15 10:46:45.000000,891,134.0,76.0,3653,138.0,\"A series of convenience functions to make basic image processing operations such as translation, rotation, resizing,..\",20.0,28,True,2021-01-15 10:53:17.000000,0.5.4,29.0,imutils,conda-forge/imutils,,,,15684.0,14488.0,https://pypi.org/project/imutils,2021-01-15 10:53:17.000000,1196.0,249754.0,251913.0,https://anaconda.org/conda-forge/imutils,2021-01-15 14:27:25.471000,49677.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n187,Dagster,dagster-io/dagster,,data-pipelines,https://github.com/dagster-io/dagster,https://github.com/dagster-io/dagster,Apache-2.0,2018-04-30 16:30:04.000000,2021-05-13 15:12:15.000000,2021-05-13 15:04:26.000000,359,599.0,2306.0,3226,7555.0,\"A data orchestrator for machine learning, analytics, and ETL.\",136.0,28,True,2021-05-07 04:12:16.000000,0.11.8,299.0,dagster,conda-forge/dagster,,,,172.0,168.0,https://pypi.org/project/dagster,2021-05-07 03:45:24.000000,4.0,52406.0,65779.0,https://anaconda.org/conda-forge/dagster,2021-05-13 12:02:24.866000,240718.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n188,dyNET,clab/dynet,,ml-frameworks,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21.000000,2021-03-18 20:24:39.000000,2021-01-27 15:43:03.000000,703,259.0,661.0,3219,3267.0,DyNet: The Dynamic Neural Network Toolkit.,156.0,28,True,2020-10-21 14:31:01.000000,2.1.2,24.0,dyNET,,,,,214.0,176.0,https://pypi.org/project/dyNET,2020-10-21 14:31:01.000000,38.0,14044.0,14095.0,,,,,,,,3.0,2851.0,,,,,,,,,,,,,,,,,,,,,,\n189,bqplot,bqplot/bqplot,,data-viz,https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18.000000,2021-05-12 10:11:25.000000,2021-05-11 16:26:36.000000,404,192.0,335.0,3074,3336.0,Plotting library for IPython/Jupyter notebooks.,51.0,28,True,2021-04-21 13:59:07.421000,0.5.27,93.0,bqplot,conda-forge/bqplot,,,['jupyter'],148.0,26.0,https://pypi.org/project/bqplot,2021-04-08 11:30:01.000000,112.0,37184.0,62310.0,https://anaconda.org/conda-forge/bqplot,2021-04-21 14:28:06.059000,604431.0,,,,,2.0,,,bqplot,https://www.npmjs.com/package/bqplot,2021-04-21 13:59:07.421000,10.0,15053.0,,,,,,,,,,,,,,,,\n190,Blaze,blaze/blaze,,data-containers,https://github.com/blaze/blaze,https://github.com/blaze/blaze,BSD-3-Clause,2012-10-26 14:25:22.000000,2020-02-01 19:33:09.000000,2019-08-15 21:14:59.000000,373,262.0,500.0,2952,7496.0,NumPy and Pandas interface to Big Data.,64.0,28,False,2016-07-19 20:40:03.000000,0.11.0,14.0,blaze,conda-forge/blaze,,,,9280.0,7658.0,https://pypi.org/project/blaze,2016-05-06 21:19:21.000000,1622.0,12084.0,16326.0,https://anaconda.org/conda-forge/blaze,2018-07-15 22:16:17.685000,190898.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n191,missingno,ResidentMario/missingno,,data-viz,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50.000000,2021-04-27 16:05:07.000000,2021-04-27 16:05:07.000000,354,19.0,88.0,2768,171.0,Missing data visualization module for Python.,16.0,28,True,2019-07-09 16:05:14.000000,0.4.2,22.0,missingno,conda-forge/missingno,,,,3853.0,3701.0,https://pypi.org/project/missingno,2019-07-09 16:05:14.000000,152.0,324191.0,326169.0,https://anaconda.org/conda-forge/missingno,2020-02-15 10:07:41.253000,90991.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n192,phonenumbers,daviddrysdale/python-phonenumbers,,nlp,https://github.com/daviddrysdale/python-phonenumbers,https://github.com/daviddrysdale/python-phonenumbers,Apache-2.0,2011-04-21 03:06:38.000000,2021-05-13 09:10:04.000000,2021-05-13 09:06:34.000000,340,3.0,119.0,2705,,Python port of Google's libphonenumber.,22.0,28,True,2021-04-30 05:46:49.000000,8.12.22,174.0,phonenumbers,conda-forge/phonenumbers,,,,2280.0,,https://pypi.org/project/phonenumbers,2021-05-13 09:10:04.000000,2280.0,1660513.0,1667558.0,https://anaconda.org/conda-forge/phonenumbers,2019-08-04 21:19:59.322000,415707.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n193,plotnine,has2k1/plotnine,,data-viz,https://github.com/has2k1/plotnine,https://github.com/has2k1/plotnine,GPL-2.0,2017-04-24 19:00:44.000000,2021-05-05 12:59:59.000000,2021-05-05 12:59:59.000000,137,61.0,371.0,2687,1693.0,A grammar of graphics for Python.,82.0,28,False,2021-03-25 12:57:10.000000,0.8.0,11.0,plotnine,conda-forge/plotnine,,,,2159.0,1905.0,https://pypi.org/project/plotnine,2021-03-25 10:49:20.000000,254.0,158212.0,160419.0,https://anaconda.org/conda-forge/plotnine,2021-03-25 12:31:04.423000,105945.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n194,datashader,holoviz/datashader,,data-viz,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000000,2021-04-24 03:45:35.000000,2021-04-13 11:40:15.000000,318,125.0,345.0,2492,1287.0,Quickly and accurately render even the largest data.,43.0,28,True,2021-03-22 15:23:27.000000,0.12.1,23.0,datashader,conda-forge/datashader,,,,750.0,680.0,https://pypi.org/project/datashader,2021-03-16 18:44:57.000000,70.0,46770.0,50984.0,https://anaconda.org/conda-forge/datashader,2021-04-13 11:22:49.633000,177028.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n195,sklearn-pandas,scikit-learn-contrib/sklearn-pandas,,data-containers,https://github.com/scikit-learn-contrib/sklearn-pandas,https://github.com/scikit-learn-contrib/sklearn-pandas,Zlib,2013-04-22 22:55:20.000000,2021-05-08 08:31:08.000000,2021-05-08 08:05:59.000000,393,25.0,125.0,2410,287.0,Pandas integration with sklearn.,37.0,28,False,2021-05-08 08:32:08.000000,2.1.0,27.0,sklearn-pandas,,,,\"['sklearn', 'pandas']\",2422.0,2200.0,https://pypi.org/project/sklearn-pandas,2021-05-08 08:14:28.000000,222.0,184433.0,184433.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n196,TF-Agents,tensorflow/agents,,reinforcement-learning,https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000000,2021-05-12 15:58:54.000000,2021-05-12 15:58:26.000000,506,101.0,354.0,1894,1744.0,\"TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.\",96.0,28,True,2021-01-05 18:41:58.000000,0.7.1,20.0,tf-agents,,,,['tensorflow'],468.0,456.0,https://pypi.org/project/tf-agents,2021-04-30 02:09:01.000000,12.0,18046.0,18046.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n197,filterpy,rlabbe/filterpy,,probabilistics,https://github.com/rlabbe/filterpy,https://github.com/rlabbe/filterpy,MIT,2014-07-15 02:15:19.000000,2021-05-04 18:33:52.000000,2021-05-04 18:33:52.000000,418,31.0,151.0,1788,542.0,\"Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman..\",36.0,28,True,2018-10-10 22:38:24.000000,1.4.5,48.0,filterpy,conda-forge/filterpy,,,,1047.0,835.0,https://pypi.org/project/filterpy,2018-10-10 22:38:24.000000,212.0,95680.0,96974.0,https://anaconda.org/conda-forge/filterpy,2020-05-05 21:13:59.073000,60861.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n198,Flax,google/flax,,ml-frameworks,https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000000,2021-05-10 18:36:20.000000,2021-05-10 15:24:23.000000,197,146.0,202.0,1723,1957.0,Flax is a neural network library for JAX that is designed for flexibility.,89.0,28,True,2021-03-31 14:19:21.000000,0.3.3,12.0,flax,,,,['jax'],158.0,152.0,https://pypi.org/project/flax,2021-03-31 14:19:21.000000,6.0,285894.0,285895.0,,,,,,,,3.0,23.0,,,,,,,,,,,,,,,,,,,,,,\n199,textacy,chartbeat-labs/textacy,,nlp,https://github.com/chartbeat-labs/textacy,https://github.com/chartbeat-labs/textacy,Apache-2.0,2016-02-03 16:52:45.000000,2021-04-23 03:02:00.000000,2021-04-23 03:01:57.000000,226,28.0,204.0,1669,1610.0,\"NLP, before and after spaCy.\",30.0,28,True,2021-04-12 15:49:48.000000,0.11.0,30.0,textacy,conda-forge/textacy,,,,154.0,,https://pypi.org/project/textacy,2021-04-12 15:49:48.000000,154.0,361930.0,363735.0,https://anaconda.org/conda-forge/textacy,2021-04-13 18:57:20.207000,86659.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n200,Mesh,tensorflow/mesh,,distributed-ml,https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34.000000,2021-05-12 16:04:20.000000,2021-05-06 18:42:42.000000,163,79.0,13.0,1013,610.0,Mesh TensorFlow: Model Parallelism Made Easier.,42.0,28,True,2021-03-24 19:03:46.000000,0.1.19,25.0,mesh-tensorflow,,,,['tensorflow'],584.0,528.0,https://pypi.org/project/mesh-tensorflow,2021-03-24 19:03:46.000000,56.0,470973.0,470973.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n201,Keras-Preprocessing,keras-team/keras-preprocessing,,others,https://github.com/keras-team/keras-preprocessing,https://github.com/keras-team/keras-preprocessing,MIT,2018-05-30 22:43:36.000000,2021-02-04 19:43:30.000000,2021-02-04 19:43:30.000000,420,93.0,99.0,945,284.0,\"Utilities for working with image data, text data, and sequence data.\",50.0,28,True,2020-05-14 03:53:47.000000,1.1.2,12.0,keras-preprocessing,conda-forge/keras-preprocessing,,,['tensorflow'],2736.0,,https://pypi.org/project/keras-preprocessing,2020-05-14 03:53:47.000000,2736.0,6321015.0,6347451.0,https://anaconda.org/conda-forge/keras-preprocessing,2021-01-15 12:28:58.923000,925291.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n202,igraph,igraph/python-igraph,,graph,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16.000000,2021-05-05 16:32:57.000000,2021-05-05 16:32:51.000000,186,23.0,282.0,812,1704.0,Python interface for igraph.,50.0,28,False,2021-03-26 10:08:11.000000,0.9.1,20.0,python-igraph,conda-forge/igraph,,,,2050.0,1626.0,https://pypi.org/project/python-igraph,2021-03-26 10:09:48.000000,424.0,84892.0,91621.0,https://anaconda.org/conda-forge/igraph,2021-04-15 13:28:46.335000,217618.0,,,,,1.0,134934.0,,,,,,,,,,,,,,,,,,,,,,\n203,patsy,pydata/patsy,,probabilistics,https://github.com/pydata/patsy,https://github.com/pydata/patsy,BSD-2-Clause,2012-07-10 12:30:06.000000,2021-05-04 21:33:59.000000,2018-10-31 21:55:48.000000,85,78.0,53.0,751,517.0,Describing statistical models in Python using symbolic formulas.,13.0,28,False,2018-10-28 05:07:55.000000,0.5.1,8.0,patsy,conda-forge/patsy,,,,39098.0,34174.0,https://pypi.org/project/patsy,2018-10-28 03:59:51.000000,4924.0,2580731.0,2633070.0,https://anaconda.org/conda-forge/patsy,2018-10-28 05:21:35.412000,2983360.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n204,geojson,jazzband/geojson,,geospatial-data,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48.000000,2021-03-21 16:52:10.000000,2021-03-21 16:52:09.000000,85,21.0,52.0,622,448.0,Python bindings and utilities for GeoJSON.,44.0,28,True,2019-08-09 20:32:15.000000,2.5.0,28.0,geojson,conda-forge/geojson,,,,8401.0,6567.0,https://pypi.org/project/geojson,2019-08-09 20:32:15.000000,1834.0,647823.0,654274.0,https://anaconda.org/conda-forge/geojson,2019-08-11 12:10:34.426000,399984.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n205,NIPYPE,nipy/nipype,,medical-data,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000000,2021-05-06 01:15:17.000000,2021-05-01 12:45:20.000000,456,337.0,879.0,562,14100.0,Workflows and interfaces for neuroimaging packages.,215.0,28,True,2020-11-28 17:23:30.000000,1.6.0,54.0,nipype,conda-forge/nipype,,,,779.0,587.0,https://pypi.org/project/nipype,2020-11-28 17:23:30.000000,192.0,20125.0,26982.0,https://anaconda.org/conda-forge/nipype,2020-11-28 17:44:51.813000,397749.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n206,DIPY,dipy/dipy,,medical-data,https://github.com/dipy/dipy,https://github.com/dipy/dipy,BSD-3-Clause,2010-02-06 11:43:08.000000,2021-05-11 15:51:38.000000,2021-05-11 15:51:38.000000,313,156.0,608.0,430,11578.0,\"DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal..\",121.0,28,True,2021-03-14 14:05:15.000000,1.4.0,23.0,dipy,conda-forge/dipy,,,,461.0,367.0,https://pypi.org/project/dipy,2021-05-06 04:40:48.000000,94.0,10701.0,14304.0,https://anaconda.org/conda-forge/dipy,2021-05-06 13:36:55.402000,216227.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n207,Cython BLIS,explosion/cython-blis,,others,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16.000000,2021-03-15 19:42:45.000000,2021-03-15 19:42:37.000000,25,6.0,16.0,168,526.0,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,9.0,28,True,2020-12-07 08:56:44.000000,0.7.4,35.0,blis,conda-forge/cython-blis,,,,10608.0,10218.0,https://pypi.org/project/blis,2020-12-07 08:56:44.000000,390.0,1763525.0,1797827.0,https://anaconda.org/conda-forge/cython-blis,2021-01-31 09:13:47.685000,891874.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n208,Streamlit,streamlit/streamlit,,others,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000000,2021-05-13 10:13:32.000000,2021-05-13 04:50:00.000000,1245,515.0,1231.0,14493,,Streamlit The fastest way to build data apps in Python.,103.0,27,True,2021-05-04 17:55:08.000000,0.81.1,130.0,streamlit,,,,,111.0,77.0,https://pypi.org/project/streamlit,2021-05-04 17:54:25.000000,34.0,273827.0,273827.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n209,baselines,openai/baselines,,reinforcement-learning,https://github.com/openai/baselines,https://github.com/openai/baselines,MIT,2017-05-24 01:58:13.000000,2021-02-21 12:16:56.000000,2020-01-31 13:06:18.000000,3915,454.0,428.0,11475,347.0,OpenAI Baselines: high-quality implementations of reinforcement learning algorithms.,114.0,27,False,2018-02-26 17:07:07.000000,0.1.5,6.0,baselines,,,,,380.0,306.0,https://pypi.org/project/baselines,2018-02-26 17:07:07.000000,74.0,8968.0,8968.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n210,NNI,microsoft/nni,,hyperopt,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44.000000,2021-05-13 08:00:18.000000,2021-05-12 03:54:01.000000,1305,264.0,956.0,9598,2077.0,\"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..\",131.0,27,True,2021-04-26 03:15:25.000000,2.2,40.0,nni,,,,,128.0,112.0,https://pypi.org/project/nni,2021-04-26 01:05:08.000000,16.0,3021.0,3021.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n211,AutoKeras,keras-team/autokeras,,hyperopt,https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20.000000,2021-05-13 11:04:40.000000,2021-05-07 15:36:27.000000,1281,69.0,669.0,7946,1251.0,AutoML library for deep learning.,129.0,27,True,2020-11-30 02:43:50.000000,1.0.12,46.0,autokeras,,,,['tensorflow'],183.0,176.0,https://pypi.org/project/autokeras,2020-11-30 02:43:50.000000,7.0,10269.0,10269.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n212,dgl,dmlc/dgl,,graph,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000000,2021-05-13 12:58:36.000000,2021-05-13 08:55:31.000000,1523,254.0,798.0,7249,1697.0,\"Python package built to ease deep learning on graph, on top of existing DL frameworks.\",128.0,27,True,2021-04-08 03:22:48.000000,0.6.1,430.0,dgl,,,,,30.0,,https://pypi.org/project/dgl,2021-05-13 09:51:42.000000,30.0,40186.0,40186.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n213,TensorLayer,tensorlayer/tensorlayer,,reinforcement-learning,https://github.com/tensorlayer/tensorlayer,https://github.com/tensorlayer/tensorlayer,Apache-2.0,2016-06-07 15:55:16.000000,2021-05-13 04:29:18.000000,2021-03-17 01:32:00.000000,1473,20.0,433.0,6576,3346.0,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,131.0,27,True,2021-01-06 07:16:21.000000,2.2.4,82.0,tensorlayer,,,,['tensorflow'],68.0,,https://pypi.org/project/tensorlayer,2020-06-19 00:53:37.000000,68.0,3065.0,3087.0,,,,,,,,2.0,1257.0,,,,,,,,,,,,,,,,,,,,,,\n214,imageai,OlafenwaMoses/ImageAI,,image,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33.000000,2021-05-08 20:05:50.000000,2021-05-08 20:05:36.000000,1706,205.0,412.0,6128,292.0,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,14.0,27,True,2021-01-05 01:26:01.000000,2.1.6,10.0,imageai,,,,,837.0,813.0,https://pypi.org/project/imageai,2021-01-05 01:26:01.000000,24.0,21146.0,36819.0,,,,,,,,2.0,579924.0,,,,,,,,,,,,,,,,,,,,,,\n215,EfficientNet-PyTorch,lukemelas/EfficientNet-PyTorch,,pytorch-utils,https://github.com/lukemelas/EfficientNet-PyTorch,https://github.com/lukemelas/EfficientNet-PyTorch,Apache-2.0,2019-05-30 05:24:11.000000,2021-04-15 15:17:23.000000,2021-04-15 15:16:36.000000,1144,109.0,130.0,5955,162.0,A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!).,24.0,27,True,2021-04-15 15:17:23.000000,0.7.1,13.0,efficientnet-pytorch,,,,['pytorch'],14.0,,https://pypi.org/project/efficientnet-pytorch,2021-04-15 15:17:23.000000,14.0,78281.0,113960.0,,,,,,,,1.0,499514.0,,,,,,,,,,,,,,,,,,,,,,\n216,tsfresh,blue-yonder/tsfresh,,time-series-data,https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17.000000,2021-05-02 05:43:02.000000,2021-05-02 05:43:02.000000,885,38.0,423.0,5624,398.0,Automatic extraction of relevant features from time series:.,76.0,27,True,2021-03-06 08:49:53.000000,0.18.0,26.0,tsfresh,conda-forge/tsfresh,,,['sklearn'],66.0,,https://pypi.org/project/tsfresh,2020-09-09 21:08:22.000000,66.0,165761.0,166552.0,https://anaconda.org/conda-forge/tsfresh,2021-03-07 06:57:04.012000,33239.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n217,auto-sklearn,automl/auto-sklearn,,hyperopt,https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10.000000,2021-05-13 05:00:37.000000,2021-05-05 10:59:28.000000,1006,106.0,612.0,5405,2457.0,Automated Machine Learning with scikit-learn.,66.0,27,True,2021-04-20 16:07:35.000000,0.12.6,31.0,auto-sklearn,,,,['sklearn'],189.0,159.0,https://pypi.org/project/auto-sklearn,2021-04-20 16:07:35.000000,30.0,23459.0,23459.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n218,CleverHans,cleverhans-lab/cleverhans,,adversarial,https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04.000000,2021-04-28 13:26:45.000000,2021-04-20 08:51:08.000000,1278,25.0,417.0,5096,3194.0,\"An adversarial example library for constructing attacks, building defenses, and benchmarking both.\",123.0,27,True,2021-04-28 13:26:45.000000,3.1.0,7.0,cleverhans,,,,['tensorflow'],229.0,213.0,https://pypi.org/project/cleverhans,2021-04-28 13:26:45.000000,16.0,834.0,834.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n219,Datasette,simonw/datasette,,others,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000000,2021-05-12 13:09:04.000000,2021-04-29 15:47:49.000000,284,256.0,782.0,5092,1615.0,An open source multi-tool for exploring and publishing data.,49.0,27,True,2021-03-29 00:43:36.000000,0.56,92.0,datasette,,,,,484.0,414.0,https://pypi.org/project/datasette,2021-03-29 00:49:36.000000,70.0,18836.0,18836.0,,,,,,,,2.0,29.0,,,,,,,,,datasette,,,,,,,,,,,,,\n220,Tokenizers,huggingface/tokenizers,,nlp,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000000,2021-05-12 14:41:13.000000,2021-04-21 22:09:58.000000,339,99.0,330.0,4509,1453.0,Fast State-of-the-Art Tokenizers optimized for Research and Production.,40.0,27,True,2021-04-05 20:48:25.000000,python-v0.10.2,61.0,tokenizers,conda-forge/tokenizers,,,,32.0,32.0,https://pypi.org/project/tokenizers,2021-04-05 21:14:02.000000,0.0,2491927.0,2496964.0,https://anaconda.org/conda-forge/tokenizers,2021-03-10 20:31:28.913000,50376.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n221,OCRmyPDF,jbarlow83/OCRmyPDF,,ocr,https://github.com/jbarlow83/OCRmyPDF,https://github.com/jbarlow83/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000000,2021-05-09 08:03:13.000000,2021-05-09 08:03:13.000000,446,92.0,607.0,4211,2944.0,\"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.\",53.0,27,True,2021-04-27 06:32:26.000000,12.0.1,171.0,ocrmypdf,,,,,160.0,148.0,https://pypi.org/project/ocrmypdf,2021-04-27 06:32:26.000000,12.0,18591.0,18591.0,,,,,,,,2.0,,,,,,,,,,ocrmypdf,ocrmypdf,,,,,,,,,,,,\n222,skorch,skorch-dev/skorch,,ml-frameworks,https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000000,2021-05-13 09:59:39.000000,2021-04-29 10:57:17.000000,283,46.0,336.0,3946,953.0,A scikit-learn compatible neural network library that wraps PyTorch.,40.0,27,True,2021-03-23 15:34:51.000000,0.10.0,13.0,skorch,conda-forge/skorch,,,\"['pytorch', 'sklearn']\",340.0,314.0,https://pypi.org/project/skorch,2021-03-23 15:32:29.000000,26.0,18734.0,26749.0,https://anaconda.org/conda-forge/skorch,2021-03-24 00:24:03.810000,256486.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n223,pyAudioAnalysis,tyiannak/pyAudioAnalysis,,audio,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13.000000,2021-05-13 14:32:51.000000,2021-05-13 14:32:42.000000,994,170.0,107.0,3915,679.0,\"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.\",23.0,27,True,2021-05-13 14:14:02.000000,0.3.7,16.0,pyAudioAnalysis,,,,,226.0,204.0,https://pypi.org/project/pyAudioAnalysis,2021-05-13 14:14:02.000000,22.0,14991.0,14991.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n224,InterpretML,interpretml/interpret,,interpretability,https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000000,2021-05-11 23:02:39.000000,2021-05-11 23:02:29.000000,456,67.0,126.0,3741,1488.0,Fit interpretable models. Explain blackbox machine learning.,25.0,27,True,2021-01-20 02:12:33.000000,0.2.4,34.0,interpret,,,,['jupyter'],80.0,78.0,https://pypi.org/project/interpret,2021-01-20 02:10:35.000000,2.0,20386.0,20386.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n225,Perspective,finos/perspective,,data-viz,https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000000,2021-05-13 10:24:39.000000,2021-05-12 05:48:37.000000,366,66.0,348.0,3362,4483.0,Streaming pivot visualization via WebAssembly.,63.0,27,True,2021-05-11 13:14:50.000000,0.8.2,45.0,perspective-python,,,,['jupyter'],194.0,186.0,https://pypi.org/project/perspective-python,2021-05-11 13:14:50.000000,8.0,2269.0,4600.0,,,,,,,,2.0,,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2021-05-12 05:26:10.640000,,2331.0,,,,,,,,,,,,,,,,\n226,Jina,jina-ai/jina,,ml-frameworks,https://github.com/jina-ai/jina,https://github.com/jina-ai/jina,Apache-2.0,2020-02-13 17:04:44.000000,2021-05-13 13:52:28.000000,2021-05-12 23:04:53.000000,433,77.0,718.0,3288,5267.0,An easier way to build neural search on the cloud.,97.0,27,True,2021-05-12 08:01:40.000000,1.2.3,620.0,jina,,jinaai/jina,,,59.0,59.0,https://pypi.org/project/jina,2021-05-12 21:43:23.000000,,10285.0,42211.0,,,,https://hub.docker.com/r/jinaai/jina,2021-05-12 21:55:31.896453,2.0,478895.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n227,DeepChem,deepchem/deepchem,,others,https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000000,2021-05-13 15:30:53.000000,2021-05-13 15:28:45.000000,982,370.0,887.0,2922,6459.0,\"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.\",160.0,27,True,2021-03-18 03:10:52.000000,2.5.0,258.0,deepchem,,,,['tensorflow'],44.0,40.0,https://pypi.org/project/deepchem,2021-05-13 15:30:53.000000,4.0,3436.0,3436.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n228,pomegranate,jmschrei/pomegranate,,probabilistics,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000000,2021-05-04 19:09:20.000000,2021-05-04 19:09:16.000000,483,50.0,561.0,2671,897.0,\"Fast, flexible and easy to use probabilistic modelling in Python.\",62.0,27,True,2021-03-29 16:51:20.000000,0.14.4,65.0,pomegranate,conda-forge/pomegranate,,,,506.0,450.0,https://pypi.org/project/pomegranate,2021-03-29 16:51:20.000000,56.0,41184.0,43770.0,https://anaconda.org/conda-forge/pomegranate,2020-11-01 16:22:04.857000,56908.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n229,Catalyst,catalyst-team/catalyst,,ml-experiments,https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13.000000,2021-05-13 13:24:01.000000,2021-05-10 11:30:56.000000,309,12.0,289.0,2564,1531.0,Accelerated deep learning R&D.,88.0,27,True,2021-04-30 15:40:12.000000,21.04.2,94.0,catalyst,,,,['pytorch'],382.0,344.0,https://pypi.org/project/catalyst,2021-04-30 15:30:39.000000,38.0,9914.0,9914.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n230,gpustat,wookayin/gpustat,,gpu-utilities,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43.000000,2021-03-23 06:32:48.000000,2021-03-23 06:32:48.000000,195,19.0,49.0,2383,168.0,A simple command-line utility for querying and monitoring GPU status.,12.0,27,True,2019-07-22 06:37:00.000000,0.6.0,11.0,gpustat,conda-forge/gpustat,,,,915.0,857.0,https://pypi.org/project/gpustat,2021-01-02 05:59:41.000000,58.0,379587.0,381761.0,https://anaconda.org/conda-forge/gpustat,2020-11-24 19:59:04.772000,56530.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n231,eli5,TeamHG-Memex/eli5,,interpretability,https://github.com/TeamHG-Memex/eli5,https://github.com/TeamHG-Memex/eli5,MIT,2016-09-15 01:04:57.000000,2021-01-25 08:24:59.385000,2020-01-22 07:39:36.000000,296,145.0,110.0,2358,1198.0,A library for debugging/inspecting machine learning classifiers and explaining their predictions.,14.0,27,False,2021-01-23 14:25:24.000000,0.11.0,28.0,eli5,conda-forge/eli5,,,,110.0,,https://pypi.org/project/eli5,2021-01-23 14:25:24.000000,110.0,486687.0,488652.0,https://anaconda.org/conda-forge/eli5,2021-01-25 08:24:59.385000,94332.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n232,pygal,Kozea/pygal,,graph,https://github.com/Kozea/pygal,https://github.com/Kozea/pygal,LGPL-3.0,2011-09-23 10:17:50.000000,2021-04-18 11:29:44.000000,2021-03-18 13:12:51.000000,382,164.0,240.0,2347,1014.0,PYthon svg GrAph plotting Library.,70.0,27,False,2017-07-05 09:22:41.000000,2.4.0,74.0,pygal,conda-forge/pygal,,,,1152.0,,https://pypi.org/project/pygal,2020-10-14 13:06:35.000000,1152.0,110211.0,110492.0,https://anaconda.org/conda-forge/pygal,2019-06-04 02:55:56.728000,6480.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n233,implicit,benfred/implicit,,recommender-systems,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000000,2021-05-08 16:08:30.000000,2021-05-08 16:08:26.000000,490,84.0,260.0,2344,309.0,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,29.0,27,True,2020-09-15 22:01:38.000000,0.4.4,34.0,implicit,conda-forge/implicit,,,,455.0,411.0,https://pypi.org/project/implicit,2020-09-15 22:01:38.000000,44.0,84086.0,90084.0,https://anaconda.org/conda-forge/implicit,2020-11-24 06:44:37.378000,239927.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n234,Keras Tuner,keras-team/keras-tuner,,hyperopt,https://github.com/keras-team/keras-tuner,https://github.com/keras-team/keras-tuner,Apache-2.0,2019-06-06 22:38:21.000000,2021-04-08 21:21:19.000000,2021-04-06 21:39:45.000000,277,150.0,156.0,2304,810.0,Hyperparameter tuning for humans.,35.0,27,True,2020-11-20 19:13:23.000000,1.0.2,5.0,keras-tuner,,,,['tensorflow'],566.0,562.0,https://pypi.org/project/keras-tuner,2020-11-20 19:00:59.000000,4.0,384433.0,384433.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n235,Cufflinks,santosjorge/cufflinks,,data-viz,https://github.com/santosjorge/cufflinks,https://github.com/santosjorge/cufflinks,MIT,2014-11-19 20:59:33.000000,2021-02-25 05:05:09.000000,2021-02-25 05:05:09.000000,535,81.0,121.0,2168,452.0,Productivity Tools for Plotly + Pandas.,38.0,27,True,2020-03-01 17:42:01.000000,0.17.3,27.0,cufflinks,,,,['pandas'],3554.0,3320.0,https://pypi.org/project/cufflinks,2020-03-01 17:42:01.000000,234.0,110795.0,110795.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n236,ta,bukosabino/ta,,financial-data,https://github.com/bukosabino/ta,https://github.com/bukosabino/ta,MIT,2018-01-02 18:08:48.000000,2021-04-11 20:31:36.000000,2020-11-29 21:08:14.000000,528,88.0,87.0,2123,582.0,Technical Analysis Library using Pandas and Numpy.,23.0,27,True,2020-11-29 10:49:09.000000,0.7.0,49.0,ta,,,,,556.0,544.0,https://pypi.org/project/ta,2020-11-29 10:49:09.000000,12.0,66762.0,66762.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n237,Foolbox,bethgelab/foolbox,,adversarial,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48.000000,2021-05-07 12:53:54.000000,2021-05-03 13:39:38.000000,349,59.0,266.0,1885,1649.0,\"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.\",31.0,27,True,2021-02-23 07:09:34.000000,3.3.1,68.0,foolbox,,,,,208.0,190.0,https://pypi.org/project/foolbox,2021-02-23 07:07:53.000000,18.0,1882.0,1882.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n238,PyFunctional,EntilZha/PyFunctional,,data-pipelines,https://github.com/EntilZha/PyFunctional,https://github.com/EntilZha/PyFunctional,MIT,2015-02-05 17:17:51.000000,2021-03-03 14:08:08.000000,2021-03-03 14:08:00.000000,99,3.0,116.0,1854,517.0,Python library for creating data pipelines with chain functional programming.,23.0,27,True,2021-01-12 19:21:07.000000,1.4.3,14.0,pyfunctional,,,,,286.0,286.0,https://pypi.org/project/pyfunctional,2021-01-12 19:14:48.000000,0.0,67747.0,67747.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n239,langid,saffsd/langid.py,,nlp,https://github.com/saffsd/langid.py,https://github.com/saffsd/langid.py,BSD-3-Clause,2011-04-29 00:16:56.000000,2020-01-01 10:49:30.000000,2017-07-15 02:49:17.000000,266,25.0,45.0,1782,242.0,Stand-alone language identification system.,9.0,27,False,2016-04-05 22:34:15.000000,1.1.6,8.0,langid,,,,,932.0,682.0,https://pypi.org/project/langid,2016-04-05 22:34:15.000000,250.0,752399.0,752399.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n240,TorchServe,pytorch/serve,,model-serialisation,https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000000,2021-05-13 08:00:41.000000,2021-05-10 17:02:05.000000,281,160.0,445.0,1777,1271.0,Model Serving on PyTorch.,68.0,27,True,2021-03-15 22:31:02.000000,0.3.1,7.0,torchserve,pytorch/torchserve,pytorch/torchserve,,['pytorch'],46.0,46.0,https://pypi.org/project/torchserve,2021-03-15 21:14:14.000000,0.0,8122.0,11861.0,https://anaconda.org/pytorch/torchserve,2021-03-18 18:37:54.539000,8219.0,https://hub.docker.com/r/pytorch/torchserve,2020-12-18 18:32:51.570336,3.0,58715.0,1.0,231.0,,,,,,,,,,,,,,,,,,,,,,\n241,MNE,mne-tools/mne-python,,medical-data,https://github.com/mne-tools/mne-python,https://github.com/mne-tools/mne-python,BSD-3-Clause,2011-01-28 03:31:13.000000,2021-05-13 15:16:14.000000,2021-05-12 16:13:38.000000,913,332.0,3321.0,1590,,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,258.0,27,True,2021-04-27 19:00:31.000000,0.23.0,52.0,mne,conda-forge/mne,,,,1148.0,950.0,https://pypi.org/project/mne,2021-04-27 19:00:31.000000,198.0,31118.0,33695.0,https://anaconda.org/conda-forge/mne,2021-04-27 21:31:05.562000,131455.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n242,Ax,facebook/Ax,,hyperopt,https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000000,2021-05-13 09:54:00.000000,2021-05-13 09:53:55.000000,152,42.0,228.0,1486,1128.0,Adaptive Experimentation Platform.,96.0,27,True,2021-02-24 16:59:13.000000,0.1.20,21.0,ax-platform,,,,['pytorch'],167.0,163.0,https://pypi.org/project/ax-platform,2021-02-24 16:59:13.000000,4.0,38126.0,38126.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n243,datasketch,ekzhu/datasketch,,data-containers,https://github.com/ekzhu/datasketch,https://github.com/ekzhu/datasketch,MIT,2015-03-20 01:21:46.000000,2021-05-03 19:57:37.000000,2021-02-24 19:46:37.000000,207,20.0,92.0,1486,194.0,\"MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble.\",17.0,27,True,2020-12-23 21:01:43.000000,1.5.3,75.0,datasketch,,,,,367.0,281.0,https://pypi.org/project/datasketch,2020-12-23 21:01:43.000000,86.0,263838.0,263838.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,,,,,\n244,tesserocr,sirfz/tesserocr,,ocr,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36.000000,2021-03-27 15:02:05.000000,2021-03-23 20:36:58.000000,201,63.0,148.0,1450,157.0,A Python wrapper for the tesseract-ocr API.,24.0,27,True,2020-03-17 17:45:44.000000,2.5.1,15.0,tesserocr,conda-forge/tesserocr,,,,596.0,496.0,https://pypi.org/project/tesserocr,2020-03-17 17:45:44.000000,100.0,73034.0,75397.0,https://anaconda.org/conda-forge/tesserocr,2021-01-13 16:38:14.456000,44909.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n245,GPflow,GPflow/GPflow,,probabilistics,https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000000,2021-05-04 08:40:07.000000,2021-04-29 11:29:44.000000,404,103.0,608.0,1435,2229.0,Gaussian processes in TensorFlow.,71.0,27,True,2021-04-29 14:49:29.000000,2.2.1,31.0,gpflow,conda-forge/gpflow,,,['tensorflow'],284.0,250.0,https://pypi.org/project/gpflow,2021-04-29 14:49:29.000000,34.0,4778.0,5024.0,https://anaconda.org/conda-forge/gpflow,2018-11-06 08:51:39.744000,8859.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n246,Model Analysis,tensorflow/model-analysis,,interpretability,https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000000,2021-05-10 19:18:16.000000,2021-05-10 19:18:09.000000,217,27.0,37.0,1055,956.0,Model analysis tools for TensorFlow.,35.0,27,True,2021-04-21 20:35:18.000000,0.30.0,37.0,tensorflow-model-analysis,,,,\"['tensorflow', 'jupyter']\",20.0,,https://pypi.org/project/tensorflow-model-analysis,2021-04-21 20:51:14.000000,20.0,6193421.0,6193421.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n247,agate,wireservice/agate,,others,https://github.com/wireservice/agate,https://github.com/wireservice/agate,MIT,2014-04-25 13:59:09.000000,2021-03-10 22:20:57.000000,2021-03-10 22:04:12.000000,132,54.0,588.0,1040,1356.0,A Python data analysis library that is optimized for humans instead of machines.,47.0,27,True,2018-03-11 14:37:30.000000,1.6.1,24.0,agate,conda-forge/agate,,,,800.0,558.0,https://pypi.org/project/agate,2018-03-11 14:37:30.000000,242.0,572602.0,573849.0,https://anaconda.org/conda-forge/agate,2018-08-19 06:02:58.597000,63597.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n248,petl,petl-developers/petl,,data-pipelines,https://github.com/petl-developers/petl,https://github.com/petl-developers/petl,MIT,2011-08-19 09:51:03.000000,2021-05-03 15:08:40.000000,2021-04-17 17:45:24.000000,153,68.0,346.0,884,1144.0,Python Extract Transform and Load Tables of Data.,46.0,27,True,2021-03-27 03:06:14.000000,1.7.4,79.0,petl,conda-forge/petl,,http://petl.readthedocs.org,,510.0,396.0,https://pypi.org/project/petl,2021-03-27 03:06:14.000000,114.0,34422.0,34852.0,https://anaconda.org/conda-forge/petl,2021-04-05 21:49:41.242000,24091.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n249,pmdarima,alkaline-ml/pmdarima,,time-series-data,https://github.com/alkaline-ml/pmdarima,https://github.com/alkaline-ml/pmdarima,MIT,2017-03-30 14:58:30.000000,2021-05-07 14:05:40.000000,2021-05-07 13:18:59.000000,166,18.0,218.0,880,1030.0,\"A statistical library designed to fill the void in Python's time series analysis capabilities, including the..\",18.0,27,True,2021-04-19 22:17:02.000000,1.8.2,33.0,pmdarima,,,,,967.0,955.0,https://pypi.org/project/pmdarima,2021-04-19 22:17:02.000000,12.0,390947.0,390947.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n250,PyVista,pyvista/pyvista,,data-viz,https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000000,2021-05-13 05:46:59.000000,2021-05-11 14:01:58.000000,159,143.0,316.0,804,2192.0,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,56.0,27,True,2021-05-11 16:34:32.000000,0.30.1,43.0,pyvista,conda-forge/pyvista,,,['jupyter'],353.0,327.0,https://pypi.org/project/pyvista,2021-05-11 16:34:32.000000,26.0,32404.0,35855.0,https://anaconda.org/conda-forge/pyvista,2021-05-11 19:09:43.929000,82800.0,,,,,2.0,75.0,,,,,,,,,,,,,,,,,,,,,,\n251,zarr,zarr-developers/zarr-python,,data-containers,https://github.com/zarr-developers/zarr-python,https://github.com/zarr-developers/zarr-python,MIT,2015-12-15 14:49:40.000000,2021-05-13 11:05:00.000000,2021-05-13 11:04:05.000000,116,188.0,237.0,696,1400.0,\"An implementation of chunked, compressed, N-dimensional arrays for Python.\",41.0,27,True,2021-04-27 06:16:31.000000,2.8.1,35.0,zarr,conda-forge/zarr,,,,745.0,673.0,https://pypi.org/project/zarr,2021-04-27 06:16:31.000000,72.0,100348.0,112452.0,https://anaconda.org/conda-forge/zarr,2021-04-27 10:29:22.665000,726282.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n252,data-validation,tensorflow/data-validation,,data-viz,https://github.com/tensorflow/data-validation,https://github.com/tensorflow/data-validation,Apache-2.0,2018-07-02 15:47:02.000000,2021-05-11 21:38:41.000000,2021-05-11 21:38:33.000000,97,37.0,86.0,538,619.0,Library for exploring and validating machine learning data.,20.0,27,True,2021-05-10 18:26:00.000000,0.26.1,28.0,tensorflow-data-validation,,,,\"['tensorflow', 'jupyter']\",291.0,273.0,https://pypi.org/project/tensorflow-data-validation,2021-04-21 22:29:16.000000,18.0,6561818.0,6561824.0,,,,,,,,2.0,223.0,,,,,,,,,,,,,,,,,,,,,,\n253,audioread,beetbox/audioread,,audio,https://github.com/beetbox/audioread,https://github.com/beetbox/audioread,MIT,2011-11-08 19:53:18.000000,2021-03-16 02:44:53.632000,2020-10-20 11:22:05.000000,83,31.0,44.0,362,232.0,cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python.,20.0,27,True,2020-10-20 11:23:09.000000,2.1.9,25.0,audioread,conda-forge/audioread,,,,5561.0,4975.0,https://pypi.org/project/audioread,2020-10-20 11:23:09.000000,586.0,513189.0,517120.0,https://anaconda.org/conda-forge/audioread,2021-03-16 02:44:53.632000,228041.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n254,CNTK,microsoft/CNTK,,ml-frameworks,https://github.com/microsoft/CNTK,https://github.com/microsoft/CNTK,MIT,2015-11-26 09:52:06.000000,2020-12-09 22:21:57.000000,2020-03-31 15:55:14.000000,4409,836.0,2522.0,17003,16116.0,\"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.\",266.0,26,False,2019-04-26 14:13:32.000000,2.7,32.0,cntk,,,,,34.0,,https://pypi.org/project/cntk,2020-12-09 22:21:57.000000,34.0,2072.0,2288.0,,,,,,,,3.0,13832.0,,,,,,,,,,,,,,,,,,,,,,\n255,MMDetection,open-mmlab/mmdetection,,image,https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000000,2021-05-13 07:12:27.000000,2021-05-10 02:24:13.000000,5118,297.0,3453.0,14852,1541.0,OpenMMLab Detection Toolbox and Benchmark.,215.0,26,True,2021-05-03 05:08:39.000000,2.12.0,12.0,,,,,['pytorch'],47.0,47.0,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n256,InsightFace,deepinsight/insightface,,image,https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,MIT,2017-09-01 00:36:51.000000,2021-05-13 11:34:25.000000,2021-05-13 11:34:25.000000,3102,751.0,710.0,9128,1550.0,Face Analysis Project on MXNet and PyTorch.,19.0,26,True,2019-09-07 13:47:11.000000,0.1.5,6.0,insightface,,,,['mxnet'],70.0,68.0,https://pypi.org/project/insightface,2019-09-07 13:47:11.000000,2.0,3803.0,3803.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n257,Ludwig,ludwig-ai/ludwig,,ml-frameworks,https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000000,2021-05-10 00:13:07.000000,2021-05-05 22:37:25.000000,887,116.0,426.0,7674,2123.0,Ludwig is a toolbox that allows to train and evaluate deep learning models without the need to write code.,91.0,26,True,2021-02-01 00:23:30.000000,0.3.3,17.0,ludwig,,,,['tensorflow'],98.0,86.0,https://pypi.org/project/ludwig,2021-02-01 00:16:18.000000,12.0,2167.0,2167.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n258,ParlAI,facebookresearch/ParlAI,,nlp,https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44.000000,2021-05-11 13:02:57.000000,2021-05-10 18:56:43.000000,1475,98.0,893.0,7180,3747.0,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,148.0,26,True,2021-04-23 13:45:44.000000,1.2.0,16.0,parlai,,,,['pytorch'],24.0,24.0,https://pypi.org/project/parlai,2021-04-23 13:41:57.000000,0.0,2510.0,2510.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n259,Facets Overview,pair-code/facets,,data-viz,https://github.com/PAIR-code/facets,https://github.com/PAIR-code/facets,Apache-2.0,2017-07-07 14:03:03.000000,2021-05-06 12:01:08.000000,2021-05-06 12:01:05.000000,834,76.0,76.0,6570,264.0,Visualizations for machine learning datasets.,28.0,26,True,2019-07-24 15:57:06.000000,1.0.0,4.0,facets-overview,,,,['jupyter'],52.0,46.0,https://pypi.org/project/facets-overview,2019-07-24 15:57:06.000000,6.0,80757.0,80757.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n260,backtrader,mementum/backtrader,,financial-data,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52.000000,2021-05-06 19:09:27.000000,2021-02-11 20:51:09.000000,2008,28.0,,6397,2383.0,Python Backtesting library for trading strategies.,51.0,26,False,,,155.0,backtrader,,,,,631.0,561.0,https://pypi.org/project/backtrader,2020-07-03 13:02:14.000000,70.0,42137.0,42137.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n261,carla,carla-simulator/carla,,others,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000000,2021-05-13 14:19:41.000000,2021-04-21 21:38:33.000000,1767,342.0,2857.0,5947,4761.0,Open-source simulator for autonomous driving research.,122.0,26,True,2020-12-23 07:08:35.000000,0.9.11,22.0,carla,,,,,73.0,69.0,https://pypi.org/project/carla,2019-04-28 17:45:24.000000,4.0,810.0,810.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n262,featuretools,alteryx/featuretools,,hyperopt,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17.000000,2021-05-13 15:06:27.000000,2021-05-12 22:29:14.000000,724,114.0,429.0,5557,,An open source python library for automated feature engineering.,50.0,26,True,2021-04-30 22:30:23.000000,0.24.0,72.0,featuretools,conda-forge/featuretools,,,,812.0,742.0,https://pypi.org/project/featuretools,2021-04-30 22:31:09.000000,70.0,198884.0,200690.0,https://anaconda.org/conda-forge/featuretools,2021-05-01 12:24:35.359000,52379.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n263,scikit-surprise,NicolasHug/Surprise,,recommender-systems,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38.000000,2020-10-13 01:22:58.850000,2020-08-05 17:45:59.000000,861,51.0,289.0,4840,622.0,A Python scikit for building and analyzing recommender systems.,38.0,26,True,2020-07-19 14:50:48.000000,1.1.1,9.0,scikit-surprise,conda-forge/scikit-surprise,,,,1115.0,1067.0,https://pypi.org/project/scikit-surprise,2020-07-19 14:50:48.000000,48.0,45656.0,49983.0,https://anaconda.org/conda-forge/scikit-surprise,2020-10-13 01:22:58.850000,173104.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n264,PyTorch3D,facebookresearch/pytorch3d,,image,https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,MIT,2019-10-25 02:23:45.000000,2021-05-13 11:27:17.000000,2021-05-13 11:27:12.000000,582,82.0,498.0,4787,430.0,PyTorch3D is FAIR's library of reusable components for deep learning with 3D data.,59.0,26,True,2021-02-09 23:13:45.000000,0.4.0,7.0,pytorch3d,pytorch3d/pytorch3d,,,['pytorch'],72.0,72.0,https://pypi.org/project/pytorch3d,2021-02-09 23:13:45.000000,0.0,8803.0,9350.0,https://anaconda.org/pytorch3d/pytorch3d,2021-02-09 22:34:07.773000,9858.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n265,PDFMiner,euske/pdfminer,,data-loading,https://github.com/euske/pdfminer,https://github.com/euske/pdfminer,MIT,2010-12-12 12:50:22.000000,2021-02-16 14:43:27.000000,2020-01-18 07:00:32.000000,1043,226.0,40.0,4572,540.0,Python PDF Parser (Not actively maintained). Check out pdfminer.six.,28.0,26,False,,,24.0,pdfminer,conda-forge/pdfminer,,,,3711.0,2245.0,https://pypi.org/project/pdfminer,2019-11-25 12:02:21.000000,1466.0,152650.0,152933.0,https://anaconda.org/conda-forge/pdfminer,2021-02-15 15:07:18.804000,16137.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n266,Metaflow,Netflix/metaflow,,ml-experiments,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000000,2021-05-13 01:47:29.000000,2021-05-13 01:05:27.000000,366,148.0,152.0,4337,224.0,Build and manage real-life data science projects with ease.,31.0,26,True,2021-04-30 21:25:30.000000,2.2.11,21.0,metaflow,conda-forge/metaflow,,,,135.0,133.0,https://pypi.org/project/metaflow,2021-04-30 22:11:37.000000,2.0,51820.0,52742.0,https://anaconda.org/conda-forge/metaflow,2021-05-01 06:43:00.165000,15682.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n267,Lucid,tensorflow/lucid,,interpretability,https://github.com/tensorflow/lucid,https://github.com/tensorflow/lucid,Apache-2.0,2018-01-25 17:41:44.000000,2021-03-19 16:01:00.000000,2021-03-19 15:48:33.000000,592,65.0,98.0,4196,667.0,A collection of infrastructure and tools for research in neural network interpretability.,40.0,26,True,2021-03-19 16:01:00.000000,0.3.10,17.0,lucid,,,,['tensorflow'],559.0,553.0,https://pypi.org/project/lucid,2021-03-19 16:01:00.000000,6.0,1464.0,1464.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n268,espnet,espnet/espnet,,audio,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000000,2021-05-13 14:38:31.000000,2021-05-11 11:01:53.000000,1145,165.0,1141.0,3755,11203.0,End-to-End Speech Processing Toolkit.,147.0,26,True,2021-04-07 04:52:16.000000,0.9.9,34.0,espnet,,,,,8.0,8.0,https://pypi.org/project/espnet,2021-04-07 04:52:16.000000,0.0,2487.0,2488.0,,,,,,,,2.0,61.0,,,,,,,,,,,,,,,,,,,,,,\n269,lightfm,lyst/lightfm,,recommender-systems,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00.000000,2021-03-25 21:33:37.000000,2021-02-07 21:16:06.000000,584,79.0,342.0,3611,428.0,\"A Python implementation of LightFM, a hybrid recommendation algorithm.\",44.0,26,True,2020-11-27 19:48:30.000000,1.16,14.0,lightfm,conda-forge/lightfm,,,,512.0,456.0,https://pypi.org/project/lightfm,2020-11-27 19:55:08.000000,56.0,169192.0,171454.0,https://anaconda.org/conda-forge/lightfm,2021-02-07 22:19:58.097000,90499.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n270,Alpha Vantage,RomelTorres/alpha_vantage,,financial-data,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00.000000,2021-02-17 12:42:04.000000,2020-12-21 19:51:57.000000,593,15.0,225.0,3328,497.0,A python wrapper for Alpha Vantage API for financial data.,36.0,26,True,2020-12-21 02:37:29.000000,2.3.1,28.0,alpha_vantage,,,,,202.0,,https://pypi.org/project/alpha_vantage,2018-08-26 18:55:11.000000,202.0,28257.0,28257.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n271,Hub,activeloopai/Hub,,data-pipelines,https://github.com/activeloopai/Hub,https://github.com/activeloopai/Hub,MPL-2.0,2019-08-09 06:17:59.000000,2021-05-13 15:01:27.000000,2021-05-11 08:44:28.000000,246,24.0,236.0,3240,2146.0,Fastest unstructured dataset management for TensorFlow/PyTorch. Stream data real-time & version-control it...,76.0,26,True,2021-04-29 14:25:14.000000,1.3.5,89.0,hub,,,,\"['tensorflow', 'pytorch']\",177.0,125.0,https://pypi.org/project/hub,2021-04-29 14:25:14.000000,52.0,2584.0,2584.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n272,AutoGluon,awslabs/autogluon,,hyperopt,https://github.com/awslabs/autogluon,https://github.com/awslabs/autogluon,Apache-2.0,2019-07-29 18:51:24.000000,2021-05-13 09:04:15.000000,2021-05-13 00:08:45.000000,417,88.0,354.0,3229,603.0,\"AutoGluon: AutoML for Text, Image, and Tabular Data.\",57.0,26,True,2021-04-28 22:25:13.000000,0.2.0,415.0,autogluon,,,,['mxnet'],51.0,51.0,https://pypi.org/project/autogluon,2021-05-13 09:04:15.000000,0.0,25124.0,25124.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n273,yellowbrick,DistrictDataLabs/yellowbrick,,interpretability,https://github.com/DistrictDataLabs/yellowbrick,https://github.com/DistrictDataLabs/yellowbrick,Apache-2.0,2016-05-18 14:12:17.000000,2021-04-22 11:36:21.000000,2021-04-22 11:36:21.000000,478,95.0,532.0,3221,848.0,Visual analysis and diagnostic tools to facilitate machine learning model selection.,97.0,26,True,2021-02-13 20:31:18.000000,1.3.post1,22.0,yellowbrick,,,,['sklearn'],62.0,,https://pypi.org/project/yellowbrick,2021-02-13 20:42:26.000000,62.0,153941.0,153941.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n274,Stable Baselines,hill-a/stable-baselines,,reinforcement-learning,https://github.com/hill-a/stable-baselines,https://github.com/hill-a/stable-baselines,MIT,2018-07-02 14:28:59.000000,2021-04-19 22:11:48.000000,2021-04-19 22:11:45.000000,607,128.0,750.0,3118,836.0,\"A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.\",110.0,26,True,2021-04-06 12:37:09.000000,2.10.2,31.0,stable-baselines,,,,,50.0,,https://pypi.org/project/stable-baselines,2021-04-06 12:37:09.000000,50.0,13265.0,13265.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n275,pytorch-summary,sksq96/pytorch-summary,,pytorch-utils,https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04.000000,2021-05-10 18:34:53.000000,2021-05-10 18:34:53.000000,365,118.0,36.0,3079,57.0,Model summary in PyTorch similar to `model.summary()` in Keras.,11.0,26,True,2018-09-26 05:07:28.000000,1.5.1,12.0,torchsummary,,,,['pytorch'],2602.0,2484.0,https://pypi.org/project/torchsummary,2018-09-26 05:07:28.000000,118.0,66647.0,66647.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n276,textract,deanmalmgren/textract,,data-loading,https://github.com/deanmalmgren/textract,https://github.com/deanmalmgren/textract,MIT,2014-07-03 20:36:59.000000,2021-05-03 14:04:12.000000,2019-11-14 08:37:39.000000,424,84.0,121.0,2998,556.0,extract text from any document. no muss. no fuss.,30.0,26,False,2019-08-26 15:05:53.000000,1.6.3,15.0,textract,conda-forge/textract,,,,192.0,,https://pypi.org/project/textract,2019-08-26 15:05:53.000000,192.0,43415.0,43615.0,https://anaconda.org/conda-forge/textract,2017-03-20 21:15:33.254000,11210.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n277,vaderSentiment,cjhutto/vaderSentiment,,nlp,https://github.com/cjhutto/vaderSentiment,https://github.com/cjhutto/vaderSentiment,MIT,2014-11-17 16:31:45.000000,2021-04-16 20:16:53.000000,2021-03-15 18:43:06.000000,763,31.0,74.0,2979,127.0,VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based..,10.0,26,True,2020-05-22 15:07:00.000000,3.3.2,15.0,vadersentiment,,,,,2901.0,2615.0,https://pypi.org/project/vadersentiment,2020-05-22 15:07:00.000000,286.0,140517.0,140517.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n278,TensorForce,tensorforce/tensorforce,,reinforcement-learning,https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22.000000,2021-05-09 12:29:49.000000,2021-05-09 12:29:44.000000,495,16.0,555.0,2945,2039.0,Tensorforce: a TensorFlow library for applied reinforcement learning.,76.0,26,True,2021-03-22 21:45:44.000000,0.6.3,12.0,tensorforce,,,,['tensorflow'],46.0,,https://pypi.org/project/tensorforce,2019-09-07 13:56:18.000000,46.0,1908.0,1908.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n279,nevergrad,facebookresearch/nevergrad,,hyperopt,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000000,2021-05-12 12:07:57.000000,2021-05-12 12:07:57.000000,279,84.0,130.0,2937,824.0,A Python toolbox for performing gradient-free optimization.,42.0,26,True,2021-01-28 12:05:40.000000,0.4.3,30.0,nevergrad,conda-forge/nevergrad,,,,181.0,167.0,https://pypi.org/project/nevergrad,2021-04-19 09:16:19.000000,14.0,24397.0,25056.0,https://anaconda.org/conda-forge/nevergrad,2020-12-14 18:21:29.267000,8577.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n280,VisPy,vispy/vispy,,data-viz,https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22.000000,2021-05-13 13:56:37.000000,2021-05-12 20:23:36.000000,547,354.0,823.0,2648,,High-performance interactive 2D/3D data visualization library.,150.0,26,True,2020-12-14 15:55:00.000000,0.6.6,16.0,vispy,conda-forge/vispy,,,['jupyter'],623.0,501.0,https://pypi.org/project/vispy,2020-11-28 02:55:50.000000,122.0,36581.0,40044.0,https://anaconda.org/conda-forge/vispy,2021-04-30 14:06:59.690000,146002.0,,,,,3.0,,,vispy,https://www.npmjs.com/package/vispy,2020-03-15 14:39:41.516000,,68.0,,,,,,,,,,,,,,,,\n281,ClearML,allegroai/clearml,,ml-experiments,https://github.com/allegroai/clearml,https://github.com/allegroai/clearml,Apache-2.0,2019-06-10 08:18:32.000000,2021-05-13 08:34:13.000000,2021-05-13 08:34:13.000000,351,87.0,218.0,2435,1172.0,\"ClearML - Auto-Magical Suite of tools to streamline your ML workflow. Experiment Manager, ML-Ops and Data-Management.\",30.0,26,True,2021-05-05 20:32:20.000000,1.0.2,43.0,clearml,,allegroai/trains,,,35.0,35.0,https://pypi.org/project/clearml,2021-05-05 19:24:51.000000,0.0,19025.0,20343.0,,,,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,30037.0,2.0,303.0,,,,,,,,,,,,,,,,,,,,,,\n282,Captum,pytorch/captum,,interpretability,https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000000,2021-05-12 23:02:02.000000,2021-05-11 22:48:14.000000,245,56.0,174.0,2339,806.0,Model interpretability and understanding for PyTorch.,70.0,26,True,2021-01-23 18:11:12.000000,0.3.1,5.0,captum,,,,['pytorch'],168.0,168.0,https://pypi.org/project/captum,2021-01-22 20:55:47.000000,0.0,22181.0,22181.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n283,GluonNLP,dmlc/gluon-nlp,,nlp,https://github.com/dmlc/gluon-nlp,https://github.com/dmlc/gluon-nlp,Apache-2.0,2018-04-04 20:57:13.000000,2021-05-10 18:52:50.000000,2021-04-22 00:11:47.000000,508,252.0,289.0,2273,834.0,\"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..\",81.0,26,True,2020-08-13 19:17:42.000000,0.10.0,26.0,gluonnlp,,,,['mxnet'],492.0,470.0,https://pypi.org/project/gluonnlp,2020-08-13 19:17:42.000000,22.0,49740.0,49740.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n284,spark-nlp,JohnSnowLabs/spark-nlp,,nlp,https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000000,2021-05-13 15:27:51.000000,2021-05-11 14:16:00.000000,440,74.0,401.0,2118,8000.0,State of the Art Natural Language Processing.,86.0,26,True,2021-05-06 15:26:13.000000,3.0.3,84.0,spark-nlp,,,,['spark'],0.0,,https://pypi.org/project/spark-nlp,2021-05-06 14:29:27.000000,0.0,679093.0,679093.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n285,aubio,aubio/aubio,,audio,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44.000000,2021-04-13 18:12:28.000000,2021-01-19 09:51:49.000000,307,114.0,174.0,2105,4111.0,a library for audio and music analysis.,24.0,26,False,2019-02-27 09:00:43.000000,0.4.9,10.0,aubio,conda-forge/aubio,,,,258.0,222.0,https://pypi.org/project/aubio,2019-02-08 11:21:02.000000,36.0,2332.0,10749.0,https://anaconda.org/conda-forge/aubio,2021-01-19 16:59:52.641000,420882.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n286,facenet-pytorch,timesler/facenet-pytorch,,image,https://github.com/timesler/facenet-pytorch,https://github.com/timesler/facenet-pytorch,MIT,2019-05-25 01:29:24.000000,2021-04-27 06:05:32.000000,2021-04-27 06:05:32.000000,441,37.0,86.0,2054,233.0,Pretrained Pytorch face detection (MTCNN) and recognition (InceptionResnet) models.,14.0,26,True,2021-03-10 01:00:20.000000,2.5.2,31.0,facenet-pytorch,,,,['pytorch'],353.0,347.0,https://pypi.org/project/facenet-pytorch,2021-03-10 01:00:20.000000,6.0,23677.0,28876.0,,,,,,,,2.0,93589.0,,,,,,,,,,,,,,,,,,,,,,\n287,ipyparallel,ipython/ipyparallel,,distributed-ml,https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,BSD-3-Clause,2015-04-09 07:43:55.000000,2021-05-13 15:13:36.000000,2021-05-07 07:57:44.000000,768,147.0,108.0,1956,,Interactive Parallel Computing in Python.,98.0,26,True,2020-05-05 18:42:38.000000,6.3.0,21.0,ipyparallel,conda-forge/ipyparallel,,,['jupyter'],2031.0,1541.0,https://pypi.org/project/ipyparallel,2020-05-05 18:42:38.000000,490.0,105399.0,112539.0,https://anaconda.org/conda-forge/ipyparallel,2021-01-22 17:12:52.539000,435574.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n288,BoTorch,pytorch/botorch,,hyperopt,https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000000,2021-05-12 11:03:49.000000,2021-05-12 03:33:06.000000,196,43.0,137.0,1937,900.0,Bayesian optimization in PyTorch.,53.0,26,True,2021-02-23 21:33:59.000000,0.4.0,16.0,botorch,,,,['pytorch'],115.0,115.0,https://pypi.org/project/botorch,2020-12-08 06:47:25.000000,0.0,48210.0,48210.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n289,pytorch-optimizer,jettify/pytorch-optimizer,,pytorch-utils,https://github.com/jettify/pytorch-optimizer,https://github.com/jettify/pytorch-optimizer,Apache-2.0,2020-01-03 03:16:39.000000,2021-05-11 10:51:23.000000,2021-05-11 10:51:22.000000,174,10.0,25.0,1854,385.0,torch-optimizer -- collection of optimizers for Pytorch.,19.0,26,True,2021-01-01 16:51:15.000000,0.1.0,19.0,torch_optimizer,,,,['pytorch'],192.0,192.0,https://pypi.org/project/torch_optimizer,2021-01-01 16:51:15.000000,0.0,22773.0,22773.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n290,polyglot,aboSamoor/polyglot,,nlp,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,GPL-3.0,2014-06-30 02:07:45.000000,2021-04-28 03:41:03.000000,2020-09-22 22:35:28.000000,293,132.0,64.0,1828,271.0,Multilingual text (NLP) processing toolkit.,26.0,26,False,2016-07-03 20:05:42.000000,16.7.4,8.0,polyglot,,,,,617.0,487.0,https://pypi.org/project/polyglot,2016-07-03 20:05:42.000000,130.0,78048.0,78048.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n291,haystack,deepset-ai/haystack,,nlp,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000000,2021-05-11 10:30:53.000000,2021-05-10 11:37:08.000000,339,94.0,512.0,1793,622.0,End-to-end Python framework for building natural language search interfaces to data. Leverages Transformers and the..,45.0,26,True,2021-04-13 15:04:29.000000,0.8.0,34.0,haystack,,,,,217.0,51.0,https://pypi.org/project/haystack,2017-07-03 04:44:52.000000,166.0,1269.0,1269.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n292,Pythran,serge-sans-paille/pythran,,others,https://github.com/serge-sans-paille/pythran,https://github.com/serge-sans-paille/pythran,BSD-3-Clause,2012-05-29 08:02:14.000000,2021-05-10 12:24:41.954000,2021-05-09 19:46:03.000000,145,105.0,569.0,1544,3367.0,Ahead of Time compiler for numeric kernels.,55.0,26,True,2021-05-09 19:48:40.000000,0.9.10,47.0,pythran,conda-forge/pythran,,,,78.0,52.0,https://pypi.org/project/pythran,2021-05-09 19:48:40.000000,26.0,10624.0,14891.0,https://anaconda.org/conda-forge/pythran,2021-05-10 12:24:41.954000,153624.0,,,,,2.0,,,,,,,,,,,,,,,pythran,python-pythran,,,,,,,\n293,hnswlib,nmslib/hnswlib,,nn-search,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000000,2021-05-10 23:06:41.000000,2021-02-04 04:34:33.000000,267,97.0,110.0,1495,275.0,Header-only C++/python library for fast approximate nearest neighbors.,41.0,26,True,2021-02-04 04:55:19.000000,0.5.1,5.0,hnswlib,,,,,120.0,118.0,https://pypi.org/project/hnswlib,2021-02-04 04:55:19.000000,2.0,38561.0,38561.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n294,Elephas,maxpumperla/elephas,,distributed-ml,https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19.000000,2021-04-23 12:34:45.000000,2021-04-21 22:10:18.000000,287,22.0,123.0,1476,496.0,Distributed Deep learning with Keras & Spark.,27.0,26,True,2021-04-23 12:34:45.000000,2.1.0,21.0,elephas,,,,\"['keras', 'spark']\",44.0,41.0,https://pypi.org/project/elephas,2021-04-21 22:11:22.000000,3.0,16032.0,16032.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n295,jellyfish,jamesturk/jellyfish,,nlp,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,BSD-2-Clause,2010-07-09 20:41:11.000000,2021-04-29 19:45:29.000000,2021-04-29 19:45:29.000000,128,12.0,89.0,1447,,a python library for doing approximate and phonetic matching of strings.,23.0,26,True,2020-05-21 20:37:01.000000,0.8.2,27.0,jellyfish,conda-forge/jellyfish,,,,3017.0,2371.0,https://pypi.org/project/jellyfish,2020-05-21 20:37:01.000000,646.0,1522053.0,1524317.0,https://anaconda.org/conda-forge/jellyfish,2021-01-08 15:04:47.681000,126790.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n296,TFX,tensorflow/tfx,,data-pipelines,https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000000,2021-05-13 12:59:36.000000,2021-05-13 12:59:26.000000,429,239.0,363.0,1418,3479.0,TFX is an end-to-end platform for deploying production ML pipelines.,113.0,26,True,2021-05-10 23:27:19.000000,0.26.4,48.0,tfx,,,,['tensorflow'],4.0,,https://pypi.org/project/tfx,2021-05-07 21:03:16.000000,4.0,221660.0,221660.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n297,Fairness 360,Trusted-AI/AIF360,,interpretability,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15.000000,2021-05-11 00:16:10.000000,2021-03-10 20:05:40.000000,428,39.0,54.0,1382,318.0,\"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..\",43.0,26,True,2021-03-04 18:11:34.000000,0.4.0,9.0,aif360,,,,,91.0,87.0,https://pypi.org/project/aif360,2021-03-04 18:11:34.000000,4.0,9233.0,9233.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n298,petastorm,uber/petastorm,,distributed-ml,https://github.com/uber/petastorm,https://github.com/uber/petastorm,Apache-2.0,2018-06-15 23:15:29.000000,2021-05-13 15:56:19.000000,2021-05-11 17:07:46.000000,197,138.0,116.0,1143,634.0,Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets..,38.0,26,True,2021-04-28 18:01:20.000000,0.10.0,68.0,petastorm,,,,,30.0,30.0,https://pypi.org/project/petastorm,2021-05-13 06:30:05.000000,0.0,100428.0,100436.0,,,,,,,,2.0,288.0,,,,,,,,,,,,,,,,,,,,,,\n299,TF Model Optimization,tensorflow/model-optimization,,tensorflow-utils,https://github.com/tensorflow/model-optimization,https://github.com/tensorflow/model-optimization,Apache-2.0,2018-10-31 20:34:28.000000,2021-05-12 23:23:51.000000,2021-05-12 02:47:11.000000,240,87.0,119.0,1040,553.0,\"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.\",52.0,26,True,2020-09-14 04:46:03.000000,0.5.0,21.0,tensorflow-model-optimization,,,,['tensorflow'],790.0,784.0,https://pypi.org/project/tensorflow-model-optimization,2021-04-19 08:49:52.000000,6.0,184356.0,184356.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n300,arviz,arviz-devs/arviz,,interpretability,https://github.com/arviz-devs/arviz,https://github.com/arviz-devs/arviz,Apache-2.0,2015-07-29 11:51:10.000000,2021-05-12 12:28:25.000000,2021-05-06 11:59:18.000000,207,119.0,473.0,1016,,Exploratory analysis of Bayesian models with Python.,79.0,26,True,2021-02-21 19:39:56.000000,0.11.2,23.0,arviz,conda-forge/arviz,,,,911.0,875.0,https://pypi.org/project/arviz,2021-02-21 19:39:56.000000,36.0,220345.0,231782.0,https://anaconda.org/conda-forge/arviz,2021-04-20 19:35:43.998000,274419.0,,,,,2.0,98.0,,,,,,,,,,,,,,,,,,,,,,\n301,fancyimpute,iskandr/fancyimpute,,sklearn-utils,https://github.com/iskandr/fancyimpute,https://github.com/iskandr/fancyimpute,Apache-2.0,2015-11-05 23:39:34.000000,2021-03-30 16:22:41.000000,2021-01-25 00:27:51.000000,151,3.0,104.0,962,198.0,Multivariate imputation and matrix completion algorithms implemented in Python.,11.0,26,True,2021-03-30 16:22:41.000000,0.5.5,26.0,fancyimpute,,,,['sklearn'],997.0,955.0,https://pypi.org/project/fancyimpute,2020-07-16 21:36:59.000000,42.0,16713.0,16713.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n302,bcolz,Blosc/bcolz,,data-containers,https://github.com/Blosc/bcolz,https://github.com/Blosc/bcolz,BSD-3-Clause,2010-08-18 15:27:02.000000,2021-04-02 08:59:38.000000,2020-09-10 12:12:45.000000,118,126.0,122.0,916,1280.0,A columnar data container that can be compressed.,33.0,26,True,2018-04-13 07:44:26.000000,1.2.1,23.0,bcolz,conda-forge/bcolz,,,,2541.0,1573.0,https://pypi.org/project/bcolz,2018-04-13 07:44:26.000000,968.0,28161.0,32878.0,https://anaconda.org/conda-forge/bcolz,2019-11-05 21:09:48.045000,240585.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n303,kmodes,nicodv/kmodes,,others,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40.000000,2021-03-07 06:05:41.000000,2021-03-07 06:05:39.000000,343,18.0,111.0,850,462.0,\"Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data.\",17.0,26,True,2021-02-13 03:34:23.000000,0.11.0,13.0,kmodes,,,,,572.0,546.0,https://pypi.org/project/kmodes,2021-02-13 03:26:34.000000,26.0,112740.0,112740.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n304,TensorFlow Text,tensorflow/text,,nlp,https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000000,2021-05-13 04:37:13.000000,2021-05-13 00:36:10.000000,90,50.0,95.0,733,387.0,Making text a first-class citizen in TensorFlow.,40.0,26,True,2021-01-13 04:36:01.000000,2.4.3,33.0,tensorflow-text,,,,['tensorflow'],654.0,650.0,https://pypi.org/project/tensorflow-text,2021-04-06 23:21:59.000000,4.0,386891.0,386891.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n305,pythreejs,jupyter-widgets/pythreejs,,data-viz,https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,BSD-3-Clause,2013-12-23 17:02:11.000000,2021-03-02 13:32:39.505000,2021-02-26 14:01:59.000000,158,62.0,141.0,726,1659.0,A Jupyter - Three.js bridge.,27.0,26,True,2021-02-26 14:01:21.000000,2.3.0,43.0,pythreejs,conda-forge/pythreejs,,,['jupyter'],49.0,15.0,https://pypi.org/project/pythreejs,2021-02-26 14:01:21.000000,26.0,25949.0,40026.0,https://anaconda.org/conda-forge/pythreejs,2021-03-02 13:32:39.505000,297880.0,,,,,3.0,,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,2021-02-26 13:59:06.062000,8.0,9113.0,,,,,,,,,,,,,,,,\n306,CLTK,cltk/cltk,,nlp,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000000,2021-04-30 15:17:01.000000,2021-04-30 15:08:20.000000,300,128.0,373.0,658,3570.0,The Classical Language Toolkit.,111.0,26,True,2021-04-30 15:17:01.000000,1.0.12,182.0,cltk,,,,,230.0,162.0,https://pypi.org/project/cltk,2021-04-30 15:17:01.000000,68.0,2174.0,2174.0,,,,,,,,2.0,22.0,,,,,,,,,,,,,,,,,,,,,,\n307,pyahocorasick,WojciechMula/pyahocorasick,,nlp,https://github.com/WojciechMula/pyahocorasick,https://github.com/WojciechMula/pyahocorasick,BSD-3-Clause,2013-05-30 19:55:46.000000,2021-03-27 18:19:12.000000,2021-03-27 17:10:43.000000,88,33.0,68.0,609,412.0,Python module (C extension and plain python) implementing Aho-Corasick algorithm.,21.0,26,True,2021-03-27 18:19:12.000000,1.4.2,24.0,pyahocorasick,conda-forge/pyahocorasick,,,,691.0,587.0,https://pypi.org/project/pyahocorasick,2021-03-27 18:19:12.000000,104.0,220696.0,223661.0,https://anaconda.org/conda-forge/pyahocorasick,2020-10-13 12:20:05.350000,121593.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n308,SMAC3,automl/SMAC3,,hyperopt,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-3-Clause,2016-08-17 10:58:05.000000,2021-04-12 07:55:03.000000,2020-10-29 10:14:55.000000,159,77.0,251.0,578,1888.0,Sequential Model-based Algorithm Configuration.,30.0,26,True,2021-03-15 08:26:39.000000,0.13.1,29.0,smac,,,,,58.0,,https://pypi.org/project/smac,2020-10-29 10:57:56.000000,58.0,32049.0,32049.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n309,Intake,intake/intake,,data-loading,https://github.com/intake/intake,https://github.com/intake/intake,BSD-2-Clause,2017-08-14 20:44:22.000000,2021-05-06 13:07:26.000000,2021-05-06 13:07:16.000000,100,77.0,198.0,560,1679.0,\"Intake is a lightweight package for finding, investigating, loading and disseminating data.\",60.0,26,True,2021-03-16 19:53:00.000000,0.6.2,21.0,intake,conda-forge/intake,,,,330.0,256.0,https://pypi.org/project/intake,2021-03-16 19:53:00.000000,74.0,11129.0,13656.0,https://anaconda.org/conda-forge/intake,2021-03-16 21:22:12.681000,75828.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n310,inflect,jaraco/inflect,,nlp,https://github.com/jaraco/inflect,https://github.com/jaraco/inflect,MIT,2010-06-20 13:43:13.000000,2021-03-26 19:47:09.000000,2021-03-23 00:21:53.000000,59,13.0,63.0,513,,\"Correctly generate plurals, ordinals, indefinite articles; convert numbers to words.\",29.0,26,True,2021-03-03 01:35:47.000000,5.3.0,33.0,inflect,conda-forge/inflect,,,,1388.0,,https://pypi.org/project/inflect,2021-03-03 01:35:47.000000,1388.0,1807633.0,1810750.0,https://anaconda.org/conda-forge/inflect,2021-03-03 03:46:48.932000,152763.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n311,tabulator-py,frictionlessdata/tabulator-py,,data-loading,https://github.com/frictionlessdata/tabulator-py,https://github.com/frictionlessdata/tabulator-py,MIT,2015-08-24 05:34:38.000000,2021-03-22 13:33:49.000000,2021-03-22 13:33:48.000000,42,1.0,177.0,206,657.0,Python library for reading and writing tabular data via streams.,25.0,26,True,2021-03-21 07:47:00.000000,1.53.5,141.0,tabulator,conda-forge/tabulator-py,,,,644.0,540.0,https://pypi.org/project/tabulator,2021-03-21 07:47:00.000000,104.0,235944.0,236823.0,https://anaconda.org/conda-forge/tabulator-py,2018-07-24 12:57:07.018000,41331.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n312,spleeter,deezer/spleeter,,audio,https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000000,2021-05-06 11:59:57.000000,2021-04-30 09:53:11.000000,1708,85.0,460.0,16399,462.0,Deezer source separation library including pretrained models.,17.0,25,True,2021-04-15 15:05:07.000000,2.2.2,33.0,spleeter,conda-forge/spleeter,,,['tensorflow'],0.0,,https://pypi.org/project/spleeter,2021-04-15 15:05:07.000000,0.0,10405.0,68718.0,https://anaconda.org/conda-forge/spleeter,2020-06-30 14:33:43.220000,50768.0,,,,,3.0,1054374.0,,,,,,,,,,,,,,,,,,,,,,\n313,PaddleOCR,PaddlePaddle/PaddleOCR,,ocr,https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000000,2021-05-13 11:19:15.000000,2021-05-13 11:19:15.000000,2466,743.0,1159.0,12432,,\"Awesome multilingual OCR toolkits based on PaddlePaddle practical ultra lightweight OCR system, support 80+ languages..\",56.0,25,True,2021-04-19 06:46:17.000000,2.1.0,13.0,paddleocr,,,,['paddle'],145.0,145.0,https://pypi.org/project/paddleocr,2021-04-13 04:02:10.000000,0.0,5259.0,5259.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n314,Turi Create,apple/turicreate,,ml-frameworks,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04.000000,2021-04-28 21:08:43.000000,2021-03-31 19:36:36.000000,1091,476.0,1264.0,10261,,Turi Create simplifies the development of custom machine learning models.,82.0,25,True,2020-09-30 22:51:40.000000,6.4.1,31.0,turicreate,,,,,273.0,239.0,https://pypi.org/project/turicreate,2020-09-30 22:51:40.000000,34.0,28297.0,28395.0,,,,,,,,3.0,4035.0,,,,,,,,,,,,,,,,,,,,,,\n315,pysc2,deepmind/pysc2,,others,https://github.com/deepmind/pysc2,https://github.com/deepmind/pysc2,Apache-2.0,2017-07-25 18:16:57.000000,2020-07-29 16:22:31.000000,2019-09-27 15:23:22.000000,1103,57.0,203.0,7257,513.0,StarCraft II Learning Environment.,34.0,25,False,2019-09-27 15:48:01.000000,3.0.0,7.0,pysc2,,,,,288.0,248.0,https://pypi.org/project/pysc2,2019-09-27 15:48:01.000000,40.0,1010.0,1599.0,,,,,,,,2.0,26546.0,,,,,,,,,,,,,,,,,,,,,,\n316,PySyft,OpenMined/PySyft,,privacy-ml,https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,Apache-2.0,2017-07-18 20:41:16.000000,2021-05-13 12:51:30.000000,2021-05-13 07:46:28.000000,1602,189.0,2704.0,7160,7791.0,A library for answering questions using data you cannot see.,374.0,25,True,2020-11-12 19:57:58.000000,0.3.0,50.0,syft,,,,['pytorch'],6.0,,https://pypi.org/project/syft,2021-04-01 11:31:12.000000,6.0,2908.0,2908.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,\n317,NuPIC,numenta/nupic,,ml-frameworks,https://github.com/numenta/nupic,https://github.com/numenta/nupic,AGPL-3.0,2013-04-05 23:14:27.000000,2021-03-25 21:39:47.000000,2019-10-23 20:45:07.000000,1585,456.0,1337.0,6236,6625.0,\"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..\",121.0,25,False,2018-06-01 15:37:54.000000,1.0.5,53.0,nupic,,,,,135.0,97.0,https://pypi.org/project/nupic,2018-06-01 15:37:54.000000,38.0,2821.0,2821.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n318,PyText,facebookresearch/pytext,,nlp,https://github.com/facebookresearch/pytext,https://github.com/facebookresearch/pytext,BSD-3-Clause,2018-07-31 23:40:46.000000,2021-05-12 23:33:50.000000,2021-05-12 23:33:46.000000,787,131.0,74.0,6187,1565.0,A natural language modeling framework based on PyTorch.,187.0,25,True,2020-06-08 23:30:58.000000,0.3.3,13.0,pytext-nlp,,,,['pytorch'],77.0,76.0,https://pypi.org/project/pytext-nlp,2020-06-08 22:49:33.000000,1.0,514.0,521.0,,,,,,,,3.0,230.0,,,,,,,,,,,,,,,,,,,,,,\n319,Milvus,milvus-io/milvus,,nn-search,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000000,2021-05-13 11:42:12.000000,2021-05-13 04:17:15.000000,888,160.0,2123.0,6142,6835.0,\"An open source embedding vector similarity search engine powered by Faiss, NMSLIB and Annoy.\",136.0,25,True,2021-05-08 15:07:26.000000,1.1.0,47.0,pymilvus,,milvusdb/milvus,,,6.0,,https://pypi.org/project/pymilvus,2021-04-29 11:27:06.000000,6.0,16916.0,33253.0,,,,https://hub.docker.com/r/milvusdb/milvus,2021-05-07 02:44:21.071424,11.0,326744.0,2.0,,,,,,,,,,,,,,,,,,,,,,,\n320,Trax,google/trax,,others,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000000,2021-05-12 14:35:07.000000,2021-05-12 14:34:58.000000,587,89.0,108.0,6138,1496.0,Trax Deep Learning with Clear Code and Speed.,70.0,25,True,2021-04-26 19:17:01.000000,1.3.8,21.0,trax,,,,,26.0,26.0,https://pypi.org/project/trax,2021-04-26 17:53:01.000000,,4899.0,4899.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n321,Vaex,vaexio/vaex,,data-containers,https://github.com/vaexio/vaex,https://github.com/vaexio/vaex,MIT,2014-09-27 09:44:42.000000,2021-05-10 15:21:07.000000,2021-05-06 10:47:43.000000,464,319.0,444.0,6105,3015.0,\"Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualize and explore big tabular data at a billion..\",41.0,25,True,2021-03-18 09:19:49.000000,4.1.0,51.0,vaex,conda-forge/vaex,,,,4.0,,https://pypi.org/project/vaex,2021-03-18 09:19:49.000000,4.0,11925.0,13822.0,https://anaconda.org/conda-forge/vaex,2021-03-09 14:33:41.948000,104261.0,,,,,3.0,208.0,,,,,,,,,,,,,,,,,,,,,,\n322,stanza,stanfordnlp/stanza,,nlp,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56.000000,2021-05-13 00:02:18.000000,2021-02-10 16:16:29.000000,692,60.0,442.0,5407,,Official Stanford NLP Python Library for Many Human Languages.,32.0,25,True,2021-01-29 20:05:25.000000,1.2.0,10.0,stanza,stanfordnlp/stanza,,,,460.0,456.0,https://pypi.org/project/stanza,2021-01-27 16:31:43.000000,4.0,41059.0,41317.0,https://anaconda.org/stanfordnlp/stanza,2021-01-27 22:24:06.992000,3615.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n323,keras-rl,keras-rl/keras-rl,,reinforcement-learning,https://github.com/keras-rl/keras-rl,https://github.com/keras-rl/keras-rl,MIT,2016-07-02 15:53:12.000000,2020-11-20 07:32:13.000000,2019-11-11 22:14:54.000000,1316,43.0,211.0,5039,308.0,Deep Reinforcement Learning for Keras.,40.0,25,False,2018-06-01 07:52:24.000000,0.4.2,8.0,keras-rl,,,,['tensorflow'],591.0,489.0,https://pypi.org/project/keras-rl,2018-06-01 07:52:24.000000,102.0,2650.0,2650.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n324,DeepSpeed,microsoft/DeepSpeed,,distributed-ml,https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,MIT,2020-01-23 18:35:18.000000,2021-05-13 14:01:53.000000,2021-05-12 20:12:52.000000,470,232.0,248.0,4899,557.0,\"DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.\",52.0,25,True,2021-04-30 19:40:48.000000,0.3.16,24.0,deepspeed,,deepspeed/deepspeed,,['pytorch'],33.0,33.0,https://pypi.org/project/deepspeed,2021-04-30 19:28:56.000000,0.0,34918.0,35438.0,,,,https://hub.docker.com/r/deepspeed/deepspeed,2021-05-05 21:39:11.981563,2.0,8328.0,2.0,,,,,,,,,,,,,,,,,,,,,,,\n325,Edward,blei-lab/edward,,probabilistics,https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05.000000,2019-10-22 20:30:48.000000,2018-07-25 01:28:08.000000,767,212.0,327.0,4631,1796.0,\"A probabilistic programming language in TensorFlow. Deep generative models, variational inference.\",87.0,25,False,2018-01-22 06:03:37.000000,1.3.5,28.0,edward,,,,['tensorflow'],298.0,220.0,https://pypi.org/project/edward,2018-01-22 06:03:05.000000,78.0,1984.0,1984.0,,,,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,,,,,\n326,Augmentor,mdbloice/Augmentor,,image,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55.000000,2020-11-10 05:20:01.000000,2020-03-09 11:32:02.000000,805,118.0,67.0,4416,511.0,Image augmentation library in Python for machine learning.,22.0,25,False,2020-01-17 11:59:53.000000,0.2.8,20.0,Augmentor,,,,,351.0,309.0,https://pypi.org/project/Augmentor,2020-01-17 11:59:53.000000,42.0,16156.0,16156.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n327,Great Expectations,great-expectations/great_expectations,,data-pipelines,https://github.com/great-expectations/great_expectations,https://github.com/great-expectations/great_expectations,Apache-2.0,2017-09-11 00:18:46.000000,2021-05-13 15:02:02.000000,2021-05-11 20:25:04.000000,537,225.0,645.0,4392,,Always know what to expect from your data.,189.0,25,True,2021-04-24 00:01:07.000000,0.13.19,110.0,great_expectations,,,,,6.0,,https://pypi.org/project/great_expectations,2021-04-23 23:47:28.000000,6.0,832928.0,832928.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n328,VisualDL,PaddlePaddle/VisualDL,,ml-experiments,https://github.com/PaddlePaddle/VisualDL,https://github.com/PaddlePaddle/VisualDL,Apache-2.0,2017-12-20 12:34:31.000000,2021-05-12 06:52:44.000000,2021-04-19 03:31:54.000000,542,30.0,319.0,3919,,Deep Learning Visualization Toolkit.,29.0,25,True,2021-02-01 09:03:52.000000,2.1.1,31.0,visualdl,,,,['paddle'],339.0,329.0,https://pypi.org/project/visualdl,2021-01-29 09:44:14.000000,10.0,12372.0,12382.0,,,,,,,,3.0,113.0,,,,,,,,,,,,,,,,,,,,,,\n329,BigDL,intel-analytics/BigDL,,distributed-ml,https://github.com/intel-analytics/BigDL,https://github.com/intel-analytics/BigDL,Apache-2.0,2016-08-29 07:59:50.000000,2021-04-21 02:14:37.000000,2021-04-21 02:14:37.000000,906,185.0,729.0,3726,2664.0,BigDL: Distributed Deep Learning Framework for Apache Spark.,72.0,25,True,2021-04-21 01:53:25.000000,0.12.2,39.0,bigdl,,,,,31.0,25.0,https://pypi.org/project/bigdl,2021-04-07 05:17:55.000000,6.0,1736.0,1736.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,com.intel.analytics.bigdl:bigdl-SPARK_2.4,https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4,2021-04-20 01:33:14.000000,0.0,,,\n330,TensorFlowOnSpark,yahoo/TensorFlowOnSpark,,distributed-ml,https://github.com/yahoo/TensorFlowOnSpark,https://github.com/yahoo/TensorFlowOnSpark,Apache-2.0,2017-01-20 18:15:57.000000,2021-03-29 16:39:50.000000,2021-03-29 16:39:47.000000,940,12.0,338.0,3672,616.0,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,33.0,25,True,2021-03-23 16:46:56.000000,2.2.3,30.0,tensorflowonspark,,,,\"['tensorflow', 'spark']\",5.0,,https://pypi.org/project/tensorflowonspark,2021-03-19 17:34:37.000000,5.0,149314.0,149314.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n331,mlpack,mlpack/mlpack,,ml-frameworks,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59.000000,2021-05-11 04:34:45.000000,2021-05-09 02:53:09.000000,1340,154.0,1235.0,3671,26366.0,mlpack: a scalable C++ machine learning library --.,273.0,25,True,2020-10-28 18:28:47.000000,3.4.2,40.0,mlpack,conda-forge/mlpack,,,,0.0,,https://pypi.org/project/mlpack,2020-10-28 18:28:47.000000,0.0,273.0,2458.0,https://anaconda.org/conda-forge/mlpack,2020-10-29 09:35:18.918000,74306.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n332,T5,google-research/text-to-text-transfer-transformer,,nlp,https://github.com/google-research/text-to-text-transfer-transformer,https://github.com/google-research/text-to-text-transfer-transformer,Apache-2.0,2019-10-17 21:45:14.000000,2021-05-12 19:03:15.000000,2021-04-30 21:24:50.000000,458,50.0,318.0,3382,484.0,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,37.0,25,True,2021-03-03 15:19:14.000000,0.9.0,26.0,t5,,,,['tensorflow'],35.0,35.0,https://pypi.org/project/t5,2021-03-03 15:19:14.000000,0.0,11729.0,11729.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n333,PML,KevinMusgrave/pytorch-metric-learning,,pytorch-utils,https://github.com/KevinMusgrave/pytorch-metric-learning,https://github.com/KevinMusgrave/pytorch-metric-learning,MIT,2019-10-23 17:20:35.000000,2021-05-10 03:58:39.000000,2021-05-10 03:58:39.000000,411,38.0,219.0,3155,704.0,\"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.\",19.0,25,True,2021-05-10 02:52:47.000000,0.9.99,159.0,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,,['pytorch'],83.0,83.0,https://pypi.org/project/pytorch-metric-learning,2019-12-27 11:28:11.000000,0.0,17046.0,17188.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2021-05-10 03:54:12.379000,2273.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n334,Sumy,miso-belica/sumy,,nlp,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48.000000,2020-11-21 17:08:35.000000,2020-11-21 17:08:33.000000,446,12.0,78.0,2572,397.0,Module for automatic summarization of text documents and HTML pages.,20.0,25,True,2019-05-19 14:39:21.000000,0.8.1,13.0,sumy,,,,,969.0,777.0,https://pypi.org/project/sumy,2019-05-19 14:38:29.000000,192.0,22234.0,22234.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n335,Neural Network Libraries,sony/nnabla,,ml-frameworks,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10.000000,2021-05-13 01:53:50.000000,2021-05-11 10:11:27.000000,300,30.0,30.0,2451,2626.0,Neural Network Libraries.,58.0,25,True,2021-04-14 00:00:37.000000,1.19.0,55.0,nnabla,,,,,34.0,,https://pypi.org/project/nnabla,2021-04-13 05:42:15.000000,34.0,2117.0,2128.0,,,,,,,,3.0,523.0,,,,,,,,,,,,,,,,,,,,,,\n336,Hyperas,maxpumperla/hyperas,,hyperopt,https://github.com/maxpumperla/hyperas,https://github.com/maxpumperla/hyperas,MIT,2016-02-19 14:45:10.000000,2020-12-22 08:31:48.000000,2020-12-22 08:31:47.000000,304,88.0,158.0,2088,209.0,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,21.0,25,True,2019-02-28 09:16:54.000000,0.4.1,9.0,hyperas,,,,['tensorflow'],244.0,202.0,https://pypi.org/project/hyperas,2019-02-28 09:16:54.000000,42.0,38615.0,38615.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n337,scikit-plot,reiinakano/scikit-plot,,interpretability,https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59.000000,2021-02-26 14:37:45.000000,2018-08-19 12:37:47.000000,249,21.0,39.0,2078,130.0,An intuitive library to add plotting functionality to scikit-learn objects.,13.0,25,False,2018-08-19 12:21:01.000000,0.3.7,27.0,scikit-plot,conda-forge/scikit-plot,,,['sklearn'],989.0,935.0,https://pypi.org/project/scikit-plot,2018-08-19 12:18:46.000000,54.0,129355.0,131278.0,https://anaconda.org/conda-forge/scikit-plot,2019-06-05 14:23:59.043000,88486.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n338,TextDistance,life4/textdistance,,nlp,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10.000000,2021-01-29 15:41:57.288000,2021-01-29 09:03:55.000000,165,9.0,,1966,304.0,\"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..\",9.0,25,True,2021-01-29 09:04:46.000000,.4.2.1,21.0,textdistance,conda-forge/textdistance,,,,576.0,548.0,https://pypi.org/project/textdistance,2021-01-29 09:03:27.000000,28.0,243885.0,244889.0,https://anaconda.org/conda-forge/textdistance,2021-01-29 15:41:57.288000,36088.0,,,,,3.0,105.0,,,,,,,,3.0,,,,,,,,,,,,,,\n339,causalml,uber/causalml,,others,https://github.com/uber/causalml,https://github.com/uber/causalml,Apache-2.0,2019-07-09 02:08:58.000000,2021-05-05 05:27:49.000000,2021-04-29 16:40:51.000000,284,33.0,142.0,1941,314.0,Uplift modeling and causal inference with machine learning algorithms.,26.0,25,True,2021-02-19 20:58:43.000000,0.10.0,13.0,causalml,,,,,18.0,18.0,https://pypi.org/project/causalml,2021-02-19 20:32:15.000000,0.0,21931.0,21931.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n340,pytorch-nlp,PetrochukM/PyTorch-NLP,,nlp,https://github.com/PetrochukM/PyTorch-NLP,https://github.com/PetrochukM/PyTorch-NLP,BSD-3-Clause,2018-02-25 05:00:36.000000,2021-04-08 15:39:47.000000,2021-01-26 22:23:57.000000,226,14.0,49.0,1916,445.0,Basic Utilities for PyTorch Natural Language Processing (NLP).,17.0,25,True,2019-11-04 05:16:00.000000,0.5.0,19.0,pytorch-nlp,,,,['pytorch'],232.0,214.0,https://pypi.org/project/pytorch-nlp,2019-11-04 04:35:18.000000,18.0,9119.0,9119.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n341,StellarGraph,stellargraph/stellargraph,,graph,https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51.000000,2021-04-29 00:07:09.000000,2021-02-18 01:03:15.000000,271,233.0,713.0,1899,2515.0,StellarGraph - Machine Learning on Graphs.,32.0,25,True,2020-06-30 05:15:21.000000,1.2.1,25.0,stellargraph,,,,['tensorflow'],67.0,63.0,https://pypi.org/project/stellargraph,2020-06-30 05:10:43.000000,4.0,7527.0,7527.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n342,efficientnet,qubvel/efficientnet,,tensorflow-utils,https://github.com/qubvel/efficientnet,https://github.com/qubvel/efficientnet,Apache-2.0,2019-05-30 20:21:09.000000,2021-04-18 18:12:08.000000,2020-09-15 16:19:36.000000,407,56.0,55.0,1814,64.0,Implementation of EfficientNet model. Keras and TensorFlow Keras.,8.0,25,True,2020-09-15 16:26:00.000000,1.1.1,9.0,efficientnet,,,,['tensorflow'],601.0,597.0,https://pypi.org/project/efficientnet,2020-09-15 16:26:00.000000,4.0,140646.0,147820.0,,,,,,,,3.0,172178.0,,,,,,,,,,,,,,,,,,,,,,\n343,pgmpy,pgmpy/pgmpy,,probabilistics,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000000,2021-05-06 14:28:10.000000,2021-05-06 14:28:10.000000,567,232.0,508.0,1792,6.0,Python Library for learning (Structure and Parameter) and inference (Statistical and Causal) in Bayesian Networks.,91.0,25,True,2021-03-31 09:08:49.000000,0.1.14,13.0,pgmpy,,,,,235.0,223.0,https://pypi.org/project/pgmpy,2021-03-31 07:30:01.000000,12.0,28165.0,28171.0,,,,,,,,3.0,75.0,,,,,,,,,,,,,,,,,,,,,,\n344,category_encoders,scikit-learn-contrib/category_encoders,,sklearn-utils,https://github.com/scikit-learn-contrib/category_encoders,https://github.com/scikit-learn-contrib/category_encoders,BSD-3-Clause,2015-11-29 19:32:37.000000,2021-05-09 17:16:34.000000,2020-07-31 10:43:44.000000,304,73.0,136.0,1650,671.0,A library of sklearn compatible categorical variable encoders.,37.0,25,True,2020-04-29 02:09:51.000000,2.2.2,19.0,category_encoders,conda-forge/category_encoders,,,['sklearn'],23.0,,https://pypi.org/project/category_encoders,2018-10-14 14:15:54.000000,23.0,337167.0,338946.0,https://anaconda.org/conda-forge/category_encoders,2020-04-29 22:37:35.948000,103193.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n345,HyperTools,ContextLab/hypertools,,data-viz,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25.000000,2021-01-06 14:11:39.000000,2021-01-06 14:11:38.000000,152,66.0,122.0,1626,1591.0,A Python toolbox for gaining geometric insights into high-dimensional data.,21.0,25,True,2020-10-02 21:41:53.000000,0.6.3,19.0,hypertools,,,,,125.0,116.0,https://pypi.org/project/hypertools,2020-10-02 21:41:53.000000,9.0,8264.0,8264.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n346,swifter,jmcarpenter2/swifter,,data-containers,https://github.com/jmcarpenter2/swifter,https://github.com/jmcarpenter2/swifter,MIT,2018-04-07 21:37:19.000000,2021-04-05 23:39:32.730000,2020-12-19 19:11:44.000000,78,20.0,76.0,1622,423.0,A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner.,14.0,25,True,2020-10-11 22:42:57.000000,1.0.7,71.0,swifter,conda-forge/swifter,,,['pandas'],358.0,326.0,https://pypi.org/project/swifter,2020-10-11 22:42:57.000000,32.0,96290.0,100182.0,https://anaconda.org/conda-forge/swifter,2021-04-05 23:39:32.730000,97313.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n347,tslearn,tslearn-team/tslearn,,time-series-data,https://github.com/tslearn-team/tslearn,https://github.com/tslearn-team/tslearn,BSD-2-Clause,2017-05-04 13:08:13.000000,2021-05-13 15:22:19.000000,2021-01-25 15:18:03.000000,231,65.0,169.0,1601,,A machine learning toolkit dedicated to time-series data.,30.0,25,True,2021-01-25 15:19:11.000000,0.5.0.5,92.0,tslearn,conda-forge/tslearn,,,['sklearn'],249.0,227.0,https://pypi.org/project/tslearn,2021-01-25 15:28:45.000000,22.0,57486.0,62984.0,https://anaconda.org/conda-forge/tslearn,2021-01-25 17:55:55.394000,208947.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n348,scattertext,JasonKessler/scattertext,,nlp,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12.000000,2021-03-08 07:54:17.000000,2021-03-08 07:43:55.000000,217,17.0,62.0,1572,346.0,Beautiful visualizations of how language differs among document types.,11.0,25,True,2021-03-08 07:54:17.000000,0.1.2,131.0,scattertext,conda-forge/scattertext,,,,194.0,178.0,https://pypi.org/project/scattertext,2021-03-08 07:54:17.000000,16.0,3672.0,4776.0,https://anaconda.org/conda-forge/scattertext,2021-01-18 15:00:35.497000,49706.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n349,Pandaral·lel,nalepae/pandarallel,,data-containers,https://github.com/nalepae/pandarallel,https://github.com/nalepae/pandarallel,BSD-3-Clause,2019-03-10 11:58:29.000000,2021-05-06 18:57:22.000000,2021-02-04 21:27:26.000000,104,69.0,55.0,1544,114.0,A simple and efficient tool to parallelize Pandas operations on all availableCPUs.,14.0,25,True,2021-02-04 21:35:01.000000,1.5.2,29.0,pandarallel,,,,\"['pandas', 'jupyter']\",206.0,206.0,https://pypi.org/project/pandarallel,2021-02-04 21:35:01.000000,0.0,276128.0,276128.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n350,chainercv,chainer/chainercv,,image,https://github.com/chainer/chainercv,https://github.com/chainer/chainercv,MIT,2017-02-13 04:15:10.000000,2020-02-03 01:27:17.000000,2020-01-07 11:48:31.000000,318,54.0,168.0,1448,4930.0,ChainerCV: a Library for Deep Learning in Computer Vision.,39.0,25,False,2019-06-12 11:55:02.000000,0.13.1,24.0,chainercv,,,,,299.0,239.0,https://pypi.org/project/chainercv,2019-06-12 11:55:40.000000,60.0,5223.0,5223.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n351,TextAttack,QData/TextAttack,,adversarial,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000000,2021-05-10 20:54:39.000000,2021-04-23 14:12:20.000000,173,55.0,82.0,1446,1993.0,\"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP..\",34.0,25,True,2020-12-27 05:23:02.000000,0.2.15,35.0,textattack,,,,,23.0,23.0,https://pypi.org/project/textattack,2020-12-27 05:23:02.000000,0.0,3250.0,3250.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n352,ViZDoom,mwydmuch/ViZDoom,,reinforcement-learning,https://github.com/mwydmuch/ViZDoom,https://github.com/mwydmuch/ViZDoom,MIT,2015-06-26 18:38:23.000000,2021-05-05 21:02:30.000000,2021-05-05 21:02:21.000000,298,88.0,329.0,1206,1468.0,Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information.,44.0,25,True,2020-10-29 15:56:20.000000,1.1.8,19.0,vizdoom,,,,,139.0,115.0,https://pypi.org/project/vizdoom,2020-10-29 15:56:20.000000,24.0,1274.0,1449.0,,,,,,,,2.0,10885.0,,,,,,,,,,,,,,,,,,,,,,\n353,PyCUDA,inducer/pycuda,,gpu-utilities,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000000,2021-05-12 18:49:28.000000,2021-05-12 18:48:07.000000,231,55.0,136.0,1148,,\"CUDA integration for Python, plus shiny features.\",71.0,25,True,2019-08-12 04:15:37.000000,2019.1.2,47.0,pycuda,,,,,1131.0,839.0,https://pypi.org/project/pycuda,2021-04-03 22:28:54.000000,292.0,50453.0,50453.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n354,bt,pmorissette/bt,,financial-data,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28.000000,2021-05-05 13:48:14.000000,2021-04-24 00:44:56.000000,279,56.0,208.0,1053,423.0,bt - flexible backtesting for Python.,21.0,25,True,2021-04-21 02:52:26.000000,0.2.9,25.0,bt,,,,,73.0,53.0,https://pypi.org/project/bt,2021-04-21 02:52:26.000000,20.0,10706.0,10706.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n355,ArcGIS API,Esri/arcgis-python-api,,geospatial-data,https://github.com/Esri/arcgis-python-api,https://github.com/Esri/arcgis-python-api,Apache-2.0,2016-03-16 01:09:14.000000,2021-05-11 02:04:13.000000,2021-05-10 09:20:47.000000,732,118.0,227.0,993,3063.0,Documentation and samples for ArcGIS API for Python.,62.0,25,True,2021-04-12 03:08:40.000000,1.8.5,29.0,arcgis,,esridocker/arcgis-api-python-notebook,,,20.0,,https://pypi.org/project/arcgis,2021-04-12 03:28:09.000000,20.0,41789.0,41789.0,,,,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n356,Streamz,python-streamz/streamz,,time-series-data,https://github.com/python-streamz/streamz,https://github.com/python-streamz/streamz,BSD-3-Clause,2017-04-04 21:45:49.000000,2021-04-05 16:03:05.000000,2021-04-05 16:03:05.000000,118,91.0,133.0,941,742.0,Real-time stream processing for python.,39.0,25,True,2021-01-14 20:47:38.000000,0.6.2,15.0,streamz,conda-forge/streamz,,,,220.0,204.0,https://pypi.org/project/streamz,2021-01-14 20:47:38.000000,16.0,8535.0,12011.0,https://anaconda.org/conda-forge/streamz,2021-01-15 14:38:35.032000,152972.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n357,ffn,pmorissette/ffn,,financial-data,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09.000000,2021-04-24 00:58:10.000000,2021-04-24 00:58:10.000000,195,18.0,73.0,850,351.0,ffn - a financial function library for Python.,26.0,25,True,2021-04-21 02:47:21.000000,0.3.6,27.0,ffn,,,,,160.0,118.0,https://pypi.org/project/ffn,2021-04-21 02:47:21.000000,42.0,14455.0,14455.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n358,ktrain,amaiya/ktrain,,ml-frameworks,https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39.000000,2021-04-28 20:45:58.000000,2021-03-26 17:14:39.000000,191,10.0,334.0,814,2266.0,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,12.0,25,True,2021-03-26 17:15:23.000000,0.26.2,150.0,ktrain,,,,['tensorflow'],164.0,163.0,https://pypi.org/project/ktrain,2021-03-26 17:14:10.000000,1.0,19630.0,19630.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n359,Singer,singer-io/getting-started,,data-loading,https://github.com/singer-io/getting-started,https://github.com/singer-io/getting-started,AGPL-3.0,2016-10-31 16:53:56.000000,2021-04-29 14:20:20.000000,2021-04-29 14:20:17.000000,102,20.0,18.0,772,188.0,\"Standard for moving data between databases, web APIs, files, queues, and just about anything else you can think of.\",26.0,25,False,2021-02-25 20:41:17.000000,5.11.0,104.0,singer-python,,,,,300.0,,https://pypi.org/project/singer-python,2021-03-22 20:41:58.000000,300.0,84668.0,84668.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n360,dask-ml,dask/dask-ml,,distributed-ml,https://github.com/dask/dask-ml,https://github.com/dask/dask-ml,BSD-3-Clause,2017-06-15 15:56:06.000000,2021-05-07 21:04:01.000000,2021-04-17 20:14:27.000000,197,200.0,221.0,710,,Scalable Machine Learning with Dask.,64.0,25,True,2021-05-03 13:02:34.000000,1.9.0,28.0,dask-ml,conda-forge/dask-ml,,,,431.0,389.0,https://pypi.org/project/dask-ml,2021-05-03 13:02:34.000000,42.0,64416.0,69307.0,https://anaconda.org/conda-forge/dask-ml,2021-05-03 15:21:05.642000,210331.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n361,pyjanitor,ericmjl/pyjanitor,,others,https://github.com/pyjanitor-devs/pyjanitor,https://github.com/pyjanitor-devs/pyjanitor,MIT,2018-03-04 22:43:33.000000,2021-05-11 19:12:21.000000,2021-04-20 20:21:04.000000,123,99.0,285.0,664,1162.0,Clean APIs for data cleaning. Python implementation of R package Janitor.,88.0,25,True,2021-02-25 17:30:52.000000,0.20.13,49.0,pyjanitor,conda-forge/pyjanitor,,,,100.0,96.0,https://pypi.org/project/pyjanitor,2021-02-25 17:30:52.000000,4.0,9068.0,11396.0,https://anaconda.org/conda-forge/pyjanitor,2021-03-25 12:03:18.871000,88477.0,,,,,2.0,,,,,,,,,,,,,pyjanitor-devs/pyjanitor,,,,,,,,,,\n362,PDPbox,SauceCat/PDPbox,,data-viz,https://github.com/SauceCat/PDPbox,https://github.com/SauceCat/PDPbox,MIT,2017-06-26 08:01:54.000000,2021-03-14 19:37:51.465000,2021-03-14 16:01:01.000000,88,19.0,38.0,569,227.0,python partial dependence plot toolbox.,7.0,25,True,2021-03-14 16:21:17.000000,0.2.1,3.0,pdpbox,conda-forge/pdpbox,,,,414.0,380.0,https://pypi.org/project/pdpbox,2021-03-14 16:21:17.000000,34.0,72047.0,72377.0,https://anaconda.org/conda-forge/pdpbox,2021-03-14 19:37:51.465000,7273.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n363,tensorflow-upstream,ROCmSoftwarePlatform/tensorflow-upstream,,ml-frameworks,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,Apache-2.0,2018-04-09 21:24:50.000000,2021-05-13 14:26:02.000000,2021-05-12 23:56:44.000000,66,55.0,243.0,556,79524.0,TensorFlow ROCm port.,3665.0,25,True,2021-03-29 03:10:02.000000,2.4.1,63.0,tensorflow-rocm,,,,['tensorflow'],,,https://pypi.org/project/tensorflow-rocm,2021-03-29 03:10:02.000000,,1754.0,1754.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,,,,,\n364,mpi4py,mpi4py/mpi4py,,distributed-ml,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-3-Clause,2013-09-05 14:44:25.000000,2021-05-12 07:03:47.000000,2021-05-11 05:31:37.000000,66,7.0,20.0,410,2261.0,Python bindings for MPI.,17.0,25,True,2020-07-27 06:40:19.000000,3.0.3,13.0,mpi4py,conda-forge/mpi4py,,,,752.0,,https://pypi.org/project/mpi4py,2019-11-04 13:05:10.000000,752.0,304230.0,315614.0,https://anaconda.org/conda-forge/mpi4py,2021-04-29 12:43:41.965000,631728.0,,,,,2.0,1049.0,,,,,,,,,,,,,,,,,,,,,,\n365,PyNNDescent,lmcinnes/pynndescent,,nn-search,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000000,2021-03-12 04:15:55.000000,2021-03-12 04:15:47.000000,50,28.0,36.0,391,488.0,A Python nearest neighbor descent for approximate nearest neighbors.,13.0,25,True,2021-02-08 20:03:04.000000,0.5.2,21.0,pynndescent,conda-forge/pynndescent,,,,458.0,452.0,https://pypi.org/project/pynndescent,2021-02-08 20:03:04.000000,6.0,379608.0,384971.0,https://anaconda.org/conda-forge/pynndescent,2021-02-09 04:30:06.804000,123371.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n366,hvPlot,holoviz/hvplot,,data-viz,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000000,2021-05-04 13:58:36.000000,2021-04-27 08:55:24.000000,54,129.0,234.0,390,380.0,\"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.\",28.0,25,True,2021-03-04 17:35:32.000000,0.7.1,14.0,hvplot,conda-forge/hvplot,,,,617.0,587.0,https://pypi.org/project/hvplot,2021-04-14 13:04:35.000000,30.0,29594.0,32183.0,https://anaconda.org/conda-forge/hvplot,2021-03-04 01:00:43.938000,85453.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n367,python-soundfile,bastibe/python-soundfile,,audio,https://github.com/bastibe/python-soundfile,https://github.com/bastibe/python-soundfile,BSD-3-Clause,2013-08-27 13:36:52.000000,2021-01-13 07:52:51.000000,2020-12-01 18:42:47.000000,44,57.0,91.0,382,493.0,\"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.\",19.0,25,True,2019-12-04 10:03:39.000000,0.10.3post1,7.0,soundfile,,,,,7625.0,6885.0,https://pypi.org/project/soundfile,2019-11-27 12:16:19.000000,740.0,686956.0,686983.0,,,,,,,,3.0,2359.0,,,,,,,,,,,,,,,,,,,,,,\n368,datalad,datalad/datalad,,others,https://github.com/datalad/datalad,https://github.com/datalad/datalad,MIT,2013-11-01 19:40:08.000000,2021-05-12 20:18:31.000000,2021-05-12 17:42:47.000000,73,706.0,2325.0,243,13842.0,\"Keep code, data, containers under control with git and git-annex.\",38.0,25,True,2021-05-10 13:39:30.000000,0.14.4,68.0,datalad,conda-forge/datalad,,,,26.0,,https://pypi.org/project/datalad,2021-05-10 13:36:40.000000,26.0,5383.0,8537.0,https://anaconda.org/conda-forge/datalad,2021-05-11 19:33:29.602000,119861.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n369,snownlp,isnowfy/snownlp,,chinese-nlp,https://github.com/isnowfy/snownlp,https://github.com/isnowfy/snownlp,MIT,2013-11-26 11:46:56.000000,2020-01-19 02:39:05.000000,2020-01-19 02:39:03.000000,1276,36.0,65.0,5402,57.0,Python library for processing Chinese text.,8.0,24,False,2015-09-27 16:35:23.000000,0.12.3,17.0,snownlp,,,,,662.0,586.0,https://pypi.org/project/snownlp,2015-09-27 16:35:23.000000,76.0,15601.0,15601.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n370,mmdnn,Microsoft/MMdnn,,model-serialisation,https://github.com/microsoft/MMdnn,https://github.com/microsoft/MMdnn,MIT,2017-08-16 08:03:52.000000,2021-03-01 14:17:24.000000,2020-08-14 02:32:30.000000,944,310.0,287.0,5326,1083.0,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,85.0,24,True,2020-07-24 06:34:39.000000,0.3.1,12.0,mmdnn,,,,,57.0,54.0,https://pypi.org/project/mmdnn,2020-07-24 06:34:39.000000,3.0,1091.0,1170.0,,,,,,,,2.0,3359.0,,,,,,,,,,,,,,,,,,,,,,\n371,PaddleHub,PaddlePaddle/PaddleHub,,others,https://github.com/PaddlePaddle/PaddleHub,https://github.com/PaddlePaddle/PaddleHub,Apache-2.0,2018-12-21 06:00:48.000000,2021-05-13 14:18:05.000000,2021-05-08 02:41:38.000000,1094,232.0,562.0,5039,,\"Awesome pre-trained models toolkit based on PaddlePaddle.(300+ models including Image, Text, Audio and Video with Easy..\",37.0,24,True,2021-04-16 08:20:11.000000,2.1.0,45.0,paddlehub,,,,['paddle'],232.0,232.0,https://pypi.org/project/paddlehub,2021-04-27 09:56:48.000000,0.0,2762.0,2781.0,,,,,,,,2.0,498.0,,,,,,,,,,,,,,,,,,,,,,\n372,Face Alignment,1adrianb/face-alignment,,image,https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44.000000,2021-05-05 16:30:37.000000,2021-05-05 16:30:24.000000,1054,40.0,203.0,4922,204.0,2D and 3D Face alignment library build using pytorch.,23.0,24,True,2021-04-28 22:17:22.000000,1.3.4,10.0,face-alignment,,,,['pytorch'],12.0,,https://pypi.org/project/face-alignment,2021-04-28 22:17:22.000000,12.0,6527.0,6527.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n373,flashtext,vi3k6i5/flashtext,,nlp,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01.000000,2021-04-29 02:55:52.000000,2020-05-03 07:13:22.000000,548,54.0,49.0,4748,108.0,Extract Keywords from sentence or Replace keywords in sentences.,8.0,24,True,,,18.0,flashtext,,,,,476.0,444.0,https://pypi.org/project/flashtext,2018-02-16 05:24:17.000000,32.0,327946.0,327946.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n374,textgenrnn,minimaxir/textgenrnn,,nlp,https://github.com/minimaxir/textgenrnn,https://github.com/minimaxir/textgenrnn,MIT,2017-08-07 02:13:37.000000,2020-12-25 03:33:19.000000,2020-07-14 02:41:10.000000,681,117.0,83.0,4373,174.0,Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines..,19.0,24,True,2020-02-03 01:07:00.000000,2.0.0,14.0,textgenrnn,,,,['tensorflow'],894.0,866.0,https://pypi.org/project/textgenrnn,2020-02-02 21:16:15.000000,28.0,7179.0,7192.0,,,,,,,,3.0,499.0,,,,,,,,,,,,,,,,,,,,,,\n375,sktime,alan-turing-institute/sktime,,time-series-data,https://github.com/alan-turing-institute/sktime,https://github.com/alan-turing-institute/sktime,BSD-3-Clause,2018-11-06 15:08:24.000000,2021-05-12 13:54:08.000000,2021-05-06 16:45:11.000000,529,120.0,307.0,3952,,A unified framework for machine learning with time series.,85.0,24,True,2021-04-15 10:41:18.000000,0.6.0,14.0,sktime,,,,['sklearn'],151.0,151.0,https://pypi.org/project/sktime,2021-04-15 10:41:18.000000,0.0,45499.0,45501.0,,,,,,,,2.0,58.0,,,,,,,,,,,,,,,,,,,,,,\n376,Lasagne,Lasagne/Lasagne,,ml-frameworks,https://github.com/Lasagne/Lasagne,https://github.com/Lasagne/Lasagne,MIT,2014-09-11 15:31:41.000000,2019-11-20 20:28:31.000000,2019-11-20 20:28:30.000000,983,139.0,402.0,3776,1161.0,Lightweight library to build and train neural networks in Theano.,72.0,24,False,2015-08-13 21:00:09.000000,0.1,1.0,lasagne,,,,,1319.0,813.0,https://pypi.org/project/lasagne,2015-08-13 21:10:53.000000,506.0,2731.0,2731.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n377,torchdiffeq,rtqichen/torchdiffeq,,pytorch-utils,https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25.000000,2021-04-05 11:26:15.000000,2021-03-23 19:55:23.000000,594,23.0,112.0,3505,216.0,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,19.0,24,True,2021-02-06 20:33:16.000000,0.2.1,5.0,torchdiffeq,,,,['pytorch'],94.0,94.0,https://pypi.org/project/torchdiffeq,2021-02-06 20:33:16.000000,0.0,4638.0,4638.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n378,ArrayFire,arrayfire/arrayfire,,gpu-utilities,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000000,2021-05-13 12:20:51.000000,2021-05-10 10:42:52.000000,475,239.0,1238.0,3489,5722.0,ArrayFire: a general purpose GPU library.,82.0,24,True,2021-01-08 21:41:09.000000,3.8.0,30.0,arrayfire,,,,,8.0,,https://pypi.org/project/arrayfire,2021-03-05 17:36:30.000000,8.0,1210.0,1225.0,,,,,,,,2.0,1125.0,,,,,,,,,,,,,,,,,,,,,,\n379,Snips NLU,snipsco/snips-nlu,,nlp,https://github.com/snipsco/snips-nlu,https://github.com/snipsco/snips-nlu,Apache-2.0,2017-02-08 16:16:36.000000,2021-05-03 12:18:32.000000,2021-05-03 12:18:31.000000,467,51.0,196.0,3486,2154.0,Snips Python library to extract meaning from text.,22.0,24,True,2020-01-15 10:13:17.000000,0.20.2,58.0,snips-nlu,,,,,16.0,,https://pypi.org/project/snips-nlu,2020-01-15 10:13:17.000000,16.0,4284.0,4284.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n380,TensorTrade,tensortrade-org/tensortrade,,financial-data,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32.000000,2021-05-12 14:47:26.000000,2021-05-12 14:47:07.000000,740,18.0,150.0,3201,895.0,\"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.\",52.0,24,True,2021-05-10 18:04:30.000000,1.0.3,27.0,tensortrade,,,,,18.0,17.0,https://pypi.org/project/tensortrade,2021-05-10 18:00:35.000000,1.0,1460.0,1460.0,,,,,,,,2.0,,,,,,,,,2.0,,,,,,,,,,,,,,\n381,einops,arogozhnikov/einops,,ml-frameworks,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08.000000,2021-05-12 20:21:31.000000,2021-05-03 07:14:25.000000,104,22.0,46.0,3004,308.0,\"Deep learning operations reinvented (for pytorch, tensorflow, jax and others).\",12.0,24,True,2020-09-08 08:33:29.000000,0.3,3.0,einops,conda-forge/einops,,,,531.0,521.0,https://pypi.org/project/einops,2020-09-08 08:21:26.000000,10.0,90505.0,90746.0,https://anaconda.org/conda-forge/einops,2020-10-15 20:10:19.681000,4839.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n382,Chartify,spotify/chartify,,data-viz,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05.000000,2021-03-20 11:20:12.000000,2021-02-05 18:49:02.000000,255,40.0,30.0,2909,195.0,Python library that makes it easy for data scientists to create charts.,21.0,24,True,2020-11-02 22:14:08.000000,3.0.3,16.0,chartify,conda-forge/chartify,,,,58.0,53.0,https://pypi.org/project/chartify,2020-11-02 22:14:08.000000,5.0,2511.0,2966.0,https://anaconda.org/conda-forge/chartify,2020-11-07 19:52:50.628000,13675.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n383,DoWhy,Microsoft/dowhy,,interpretability,https://github.com/microsoft/dowhy,https://github.com/microsoft/dowhy,MIT,2018-05-31 13:07:04.000000,2021-05-12 21:43:01.000000,2021-05-07 12:37:39.000000,426,31.0,92.0,2899,445.0,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,42.0,24,True,2021-03-03 03:44:46.000000,0.6,6.0,dowhy,conda-forge/dowhy,,,,39.0,39.0,https://pypi.org/project/dowhy,2021-03-03 03:45:16.000000,0.0,25053.0,25212.0,https://anaconda.org/conda-forge/dowhy,2021-04-28 19:20:04.698000,1899.0,,,,,2.0,23.0,,,,,,,,,,,,,,,,,,,,,,\n384,xLearn,aksnzhy/xlearn,,ml-frameworks,https://github.com/aksnzhy/xlearn,https://github.com/aksnzhy/xlearn,Apache-2.0,2017-06-10 08:09:31.000000,2021-01-28 14:17:44.000000,2020-03-03 10:12:35.000000,515,190.0,107.0,2880,1340.0,\"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..\",30.0,24,False,2019-04-25 02:10:05.000000,0.4.4,15.0,xlearn,,,,,61.0,59.0,https://pypi.org/project/xlearn,2018-12-04 11:05:06.000000,2.0,5080.0,5146.0,,,,,,,,3.0,2526.0,,,,,,,,,,,,,,,,,,,,,,\n385,keras-vis,raghakot/keras-vis,,interpretability,https://github.com/raghakot/keras-vis,https://github.com/raghakot/keras-vis,MIT,2016-11-11 23:27:34.000000,2020-04-20 01:03:13.000000,2020-04-20 01:03:12.000000,595,114.0,99.0,2821,195.0,Neural network visualization toolkit for keras.,10.0,24,False,2017-07-06 04:55:04.000000,0.4.1,11.0,keras-vis,,,,['tensorflow'],1030.0,974.0,https://pypi.org/project/keras-vis,2017-07-06 04:55:04.000000,56.0,3128.0,3128.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n386,Gradio,gradio-app/gradio,,others,https://github.com/gradio-app/gradio,https://github.com/gradio-app/gradio,Apache-2.0,2018-12-19 08:24:04.000000,2021-05-12 22:24:43.000000,2021-05-09 09:16:49.000000,159,8.0,98.0,2544,1008.0,\"Wrap UIs around any model, share with anyone.\",18.0,24,True,2021-04-30 04:25:16.000000,1.7.7,97.0,gradio,,,,,135.0,133.0,https://pypi.org/project/gradio,2021-04-30 04:25:16.000000,2.0,5715.0,5715.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n387,D-Tale,man-group/dtale,,data-viz,https://github.com/man-group/dtale,https://github.com/man-group/dtale,LGPL-2.1,2019-07-15 09:34:48.000000,2021-05-12 17:21:44.000000,2021-05-12 17:21:36.000000,175,21.0,311.0,2345,409.0,Visualizer for pandas data structures.,15.0,24,True,2021-05-05 23:14:20.000000,1.45.0,118.0,dtale,conda-forge/dtale,,,\"['pandas', 'jupyter']\",146.0,146.0,https://pypi.org/project/dtale,2021-05-05 23:11:33.000000,0.0,12139.0,15811.0,https://anaconda.org/conda-forge/dtale,2021-05-05 23:37:47.684000,55085.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n388,Arctic,man-group/arctic,,data-containers,https://github.com/man-group/arctic,https://github.com/man-group/arctic,LGPL-2.1,2015-05-29 13:37:30.000000,2021-04-16 20:56:46.000000,2021-04-16 01:50:53.000000,462,86.0,438.0,2279,1077.0,Arctic is a high performance datastore for numeric data.,71.0,24,True,2020-12-01 23:17:26.000000,1.79.4,83.0,arctic,conda-forge/arctic,,,,159.0,117.0,https://pypi.org/project/arctic,2020-12-01 23:16:12.000000,42.0,3844.0,4408.0,https://anaconda.org/conda-forge/arctic,2019-12-16 08:57:24.231000,13532.0,,,,,3.0,121.0,,,,,,,,,,,,,,,,,,,,,,\n389,Core ML Tools,apple/coremltools,,model-serialisation,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000000,2021-05-10 23:28:31.000000,2021-05-06 20:03:09.000000,365,359.0,352.0,2219,,\"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.\",113.0,24,True,2021-02-05 02:07:15.000000,4.1,28.0,coremltools,,,,,783.0,517.0,https://pypi.org/project/coremltools,2021-02-05 01:28:44.000000,266.0,56845.0,56903.0,,,,,,,,2.0,2582.0,,,,,,,,-3.0,,,,,,,,,,,,,,\n390,Alphalens,quantopian/alphalens,,financial-data,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15.000000,2020-09-05 16:48:14.000000,2020-04-27 18:40:41.000000,716,38.0,145.0,1901,522.0,Performance analysis of predictive (alpha) stock factors.,25.0,24,False,2020-04-30 15:42:52.000000,0.4.0,10.0,alphalens,conda-forge/alphalens,,,,415.0,387.0,https://pypi.org/project/alphalens,2020-04-27 21:03:10.000000,28.0,2994.0,3287.0,https://anaconda.org/conda-forge/alphalens,2020-05-16 13:52:44.922000,11461.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n391,python_speech_features,jameslyons/python_speech_features,,audio,https://github.com/jameslyons/python_speech_features,https://github.com/jameslyons/python_speech_features,MIT,2013-10-31 02:42:08.000000,2020-12-31 13:27:02.000000,2020-12-31 13:27:01.000000,550,23.0,49.0,1897,120.0,This library provides common speech features for ASR including MFCCs and filterbank energies.,18.0,24,True,2020-01-14 14:12:10.000000,0.6.1,6.0,python_speech_features,,,,,300.0,,https://pypi.org/project/python_speech_features,2017-08-16 01:46:13.000000,300.0,109249.0,109249.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n392,DDSP,magenta/ddsp,,audio,https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27.000000,2021-05-08 00:01:19.000000,2021-05-08 00:01:11.000000,179,15.0,96.0,1844,371.0,DDSP: Differentiable Digital Signal Processing.,25.0,24,True,2021-04-19 04:30:53.000000,1.3.0,31.0,ddsp,,,,['tensorflow'],11.0,11.0,https://pypi.org/project/ddsp,2021-04-08 23:34:17.000000,,1755.0,1755.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n393,Essentia,MTG/essentia,,audio,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000000,2021-05-12 21:34:35.000000,2021-04-28 13:53:01.000000,409,307.0,574.0,1815,2815.0,\"C++ library for audio and music analysis, description and synthesis, including Python bindings.\",71.0,24,False,2015-03-31 16:33:30.000000,2.0,9.0,essentia,,,,,193.0,183.0,https://pypi.org/project/essentia,2021-01-13 00:12:18.000000,10.0,4161.0,4161.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n394,Spektral,danielegrattarola/spektral,,graph,https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10.000000,2021-05-13 07:39:26.000000,2021-03-24 08:34:28.000000,220,22.0,124.0,1729,945.0,Graph Neural Networks with Keras and Tensorflow 2.,16.0,24,True,2021-03-20 11:39:58.000000,1.0.6,29.0,spektral,,,,\"['tensorflow\"\"']\",51.0,51.0,https://pypi.org/project/spektral,2021-03-20 11:39:58.000000,0.0,3219.0,3219.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n395,dtreeviz,parrt/dtreeviz,,interpretability,https://github.com/parrt/dtreeviz,https://github.com/parrt/dtreeviz,MIT,2018-08-13 21:45:15.000000,2021-04-05 19:35:08.000000,2021-04-05 19:30:34.000000,203,17.0,77.0,1511,363.0,A python library for decision tree visualization and model interpretation.,16.0,24,True,2021-03-16 21:49:18.000000,1.2,23.0,dtreeviz,,,,,147.0,143.0,https://pypi.org/project/dtreeviz,2021-04-05 19:35:08.000000,4.0,30966.0,30966.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n396,mtcnn,ipazc/mtcnn,,image,https://github.com/ipazc/mtcnn,https://github.com/ipazc/mtcnn,MIT,2018-01-05 04:08:32.000000,2021-02-03 15:49:06.000000,2021-01-13 23:50:58.000000,386,55.0,36.0,1503,55.0,\"MTCNN face detection implementation for TensorFlow, as a PIP package.\",14.0,24,True,2019-11-14 17:37:05.000000,0.1.0,10.0,mtcnn,,,,['tensorflow'],1123.0,1081.0,https://pypi.org/project/mtcnn,2019-11-14 17:37:05.000000,42.0,21725.0,21725.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n397,sklearn-contrib-lightning,scikit-learn-contrib/lightning,,sklearn-utils,https://github.com/scikit-learn-contrib/lightning,https://github.com/scikit-learn-contrib/lightning,BSD-3-Clause,2012-01-11 13:53:52.000000,2021-05-12 21:25:35.000000,2021-05-10 14:41:29.000000,192,47.0,38.0,1447,713.0,\"Large-scale linear classification, regression and ranking in Python.\",17.0,24,True,2020-12-16 17:26:49.000000,0.6.0,8.0,sklearn-contrib-lightning,conda-forge/sklearn-contrib-lightning,,,['sklearn'],92.0,82.0,https://pypi.org/project/sklearn-contrib-lightning,2020-12-16 17:26:49.000000,10.0,472.0,2916.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2020-12-20 22:58:20.890000,141755.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n398,bonobo,python-bonobo/bonobo,,data-pipelines,https://github.com/python-bonobo/bonobo,https://github.com/python-bonobo/bonobo,Apache-2.0,2016-12-09 04:03:23.000000,2021-05-06 21:29:33.000000,2021-03-10 15:44:00.000000,118,67.0,108.0,1426,978.0,Extract Transform Load for Python 3.5+.,37.0,24,True,2019-05-16 13:19:48.000000,0.6.4,38.0,bonobo,,,http://docs.bonobo-project.org/en/master/,,166.0,114.0,https://pypi.org/project/bonobo,2019-07-20 13:33:19.000000,52.0,8307.0,8307.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n399,IB-insync,erdewit/ib_insync,,financial-data,https://github.com/erdewit/ib_insync,https://github.com/erdewit/ib_insync,BSD-2-Clause,2017-07-12 12:09:24.000000,2021-04-30 14:38:49.000000,2021-04-28 10:35:48.000000,421,5.0,306.0,1402,583.0,Python sync/async framework for Interactive Brokers API.,28.0,24,True,2021-04-26 18:22:55.000000,0.9.66,91.0,ib_insync,conda-forge/ib-insync,,,,12.0,,https://pypi.org/project/ib_insync,2021-04-26 18:22:55.000000,12.0,5962.0,6393.0,https://anaconda.org/conda-forge/ib-insync,2021-02-25 02:28:19.625000,9492.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n400,TNT,pytorch/tnt,,ml-experiments,https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58.000000,2021-01-22 09:14:29.000000,2021-01-05 19:36:17.000000,189,30.0,34.0,1320,156.0,\"Simple tools for logging and visualizing, loading and training.\",35.0,24,True,2019-11-15 12:57:59.000000,0.0.5.1,3.0,torchnet,,,,['pytorch'],624.0,574.0,https://pypi.org/project/torchnet,2018-07-29 23:16:03.000000,50.0,13775.0,13775.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n401,fklearn,nubank/fklearn,,ml-frameworks,https://github.com/nubank/fklearn,https://github.com/nubank/fklearn,Apache-2.0,2019-02-27 14:32:57.000000,2021-04-28 13:19:12.000000,2021-04-28 13:19:08.000000,149,19.0,20.0,1315,118.0,fklearn: Functional Machine Learning.,37.0,24,True,2021-02-09 17:12:04.000000,1.22.0,20.0,fklearn,,,,,10.0,10.0,https://pypi.org/project/fklearn,2021-02-09 17:12:04.000000,,10788.0,10788.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n402,modAL,modAL-python/modAL,,others,https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000000,2021-05-04 09:23:00.000000,2021-01-07 09:40:40.000000,193,54.0,50.0,1231,648.0,A modular active learning framework for Python.,14.0,24,True,2021-01-07 09:47:49.000000,0.4.1,12.0,modAL,,,,['sklearn'],80.0,72.0,https://pypi.org/project/modAL,2021-01-07 09:47:49.000000,8.0,3286.0,3286.0,,,,,,,,2.0,12.0,,,,,,,,,,,,,,,,,,,,,,\n403,sense2vec,explosion/sense2vec,,nlp,https://github.com/explosion/sense2vec,https://github.com/explosion/sense2vec,MIT,2016-01-23 22:15:49.000000,2021-04-19 07:05:28.000000,2021-04-18 01:50:23.000000,209,16.0,83.0,1227,452.0,Contextually-keyed word vectors.,15.0,24,True,2021-04-19 07:05:28.000000,3.0.0,22.0,sense2vec,conda-forge/sense2vec,,,,78.0,66.0,https://pypi.org/project/sense2vec,2021-04-19 07:05:28.000000,12.0,5562.0,6901.0,https://anaconda.org/conda-forge/sense2vec,2020-03-16 22:19:07.337000,18413.0,,,,,3.0,15508.0,,,,,,,,,,,,,,,,,,,,,,\n404,garage,rlworkgroup/garage,,reinforcement-learning,https://github.com/rlworkgroup/garage,https://github.com/rlworkgroup/garage,MIT,2018-06-10 21:31:23.000000,2021-05-11 23:50:36.000000,2021-05-09 17:57:29.000000,218,205.0,787.0,1156,1210.0,A toolkit for reproducible reinforcement learning research.,75.0,24,True,2021-03-23 22:18:36.000000,2021.3.0,21.0,garage,,,,['tensorflow'],19.0,19.0,https://pypi.org/project/garage,2021-03-23 22:18:36.000000,0.0,416.0,416.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n405,spacy-transformers,explosion/spacy-transformers,,nlp,https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000000,2021-05-07 13:00:37.000000,2021-04-20 18:58:58.000000,110,48.0,,949,1328.0,\"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.\",15.0,24,True,2021-04-21 07:12:29.000000,1.0.2,44.0,spacy-transformers,,,,['spacy'],146.0,140.0,https://pypi.org/project/spacy-transformers,2021-02-02 09:54:58.000000,6.0,34300.0,34300.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n406,PennyLane,PennyLaneAI/PennyLane,,others,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000000,2021-05-13 15:10:55.000000,2021-05-13 14:54:14.000000,249,102.0,283.0,854,1909.0,PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum..,46.0,24,True,2021-05-03 08:34:16.000000,0.15.1,22.0,pennylane,,,,,20.0,,https://pypi.org/project/pennylane,2021-05-03 08:31:01.000000,20.0,5638.0,5639.0,,,,,,,,2.0,56.0,,,,,,,,,,,,,,,,,,,,,,\n407,PySAL,pysal/pysal,,geospatial-data,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42.000000,2021-02-08 21:30:44.240000,2021-02-01 00:35:48.000000,241,58.0,584.0,845,4119.0,PySAL: Python Spatial Analysis Library Meta-Package.,71.0,24,True,2021-02-02 02:59:42.000000,2.4.0,25.0,pysal,conda-forge/pysal,,,,36.0,,https://pypi.org/project/pysal,2021-02-02 02:59:42.000000,36.0,14060.0,21140.0,https://anaconda.org/conda-forge/pysal,2021-02-08 21:30:44.240000,410681.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n408,pyclustering,annoviko/pyclustering,,others,https://github.com/annoviko/pyclustering,https://github.com/annoviko/pyclustering,BSD-3-Clause,2014-02-25 18:59:03.000000,2021-02-12 23:22:26.000000,2021-02-12 19:04:59.000000,194,52.0,584.0,829,2079.0,\"pyclustring is a Python, C++ data mining library.\",26.0,24,True,2020-11-25 22:33:07.000000,0.10.1.2,46.0,pyclustering,conda-forge/pyclustering,,,,232.0,196.0,https://pypi.org/project/pyclustering,2020-11-25 22:41:20.000000,36.0,35617.0,36842.0,https://anaconda.org/conda-forge/pyclustering,2021-01-25 21:14:55.053000,20741.0,,,,,2.0,327.0,,,,,,,,-2.0,,,,,,,,,,,,,,\n409,pyopencl,inducer/pyopencl,,others,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,MIT,2011-04-06 02:51:33.000000,2021-05-03 16:02:46.000000,2021-05-03 16:02:45.000000,216,59.0,218.0,806,,\"OpenCL integration for Python, plus shiny features.\",86.0,24,True,2021-04-03 02:30:03.000000,2021.1.5,61.0,pyopencl,conda-forge/pyopencl,,,,750.0,512.0,https://pypi.org/project/pyopencl,2021-04-05 18:20:12.000000,238.0,18979.0,26291.0,https://anaconda.org/conda-forge/pyopencl,2021-04-05 21:08:34.776000,402174.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n410,openTSNE,pavlin-policar/openTSNE,,data-viz,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000000,2021-04-26 06:15:03.161000,2021-04-25 19:05:09.000000,84,8.0,81.0,798,548.0,\"Extensible, parallel implementations of t-SNE.\",10.0,24,True,2021-04-25 19:32:11.000000,0.6.0,21.0,opentsne,conda-forge/opentsne,,,,216.0,212.0,https://pypi.org/project/opentsne,2021-04-25 19:24:59.000000,4.0,18270.0,21561.0,https://anaconda.org/conda-forge/opentsne,2021-04-26 06:15:03.161000,95461.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n411,empyrical,quantopian/empyrical,,financial-data,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52.000000,2020-10-14 13:28:13.625000,2020-10-14 13:22:39.000000,251,27.0,26.0,779,167.0,Common financial risk and performance metrics. Used by zipline and pyfolio.,22.0,24,True,2020-10-13 21:29:19.000000,0.5.5,21.0,empyrical,conda-forge/empyrical,,,,828.0,606.0,https://pypi.org/project/empyrical,2020-10-13 21:29:19.000000,222.0,59453.0,59740.0,https://anaconda.org/conda-forge/empyrical,2020-10-14 13:28:13.625000,11212.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n412,PySwarms,ljvmiranda921/pyswarms,,others,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45.000000,2021-04-02 00:26:48.000000,2021-04-02 00:26:45.000000,237,23.0,156.0,775,408.0,A research toolkit for particle swarm optimization in Python.,43.0,24,True,2021-01-03 21:34:15.000000,1.3.0,20.0,pyswarms,,,,,111.0,111.0,https://pypi.org/project/pyswarms,2021-01-03 21:34:15.000000,0.0,5083.0,5083.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n413,GPyOpt,SheffieldML/GPyOpt,,hyperopt,https://github.com/SheffieldML/GPyOpt,https://github.com/SheffieldML/GPyOpt,BSD-3-Clause,2014-08-13 09:58:25.000000,2020-11-17 10:32:02.000000,2020-11-05 15:16:04.000000,221,100.0,186.0,730,514.0,Gaussian Process Optimization using GPy.,49.0,24,True,2020-03-19 21:21:18.000000,1.2.6,11.0,gpyopt,,,,,228.0,192.0,https://pypi.org/project/gpyopt,2020-03-19 11:37:45.000000,36.0,12000.0,12000.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n414,Hail,hail-is/hail,,medical-data,https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000000,2021-05-13 15:09:26.000000,2021-05-13 15:08:52.000000,185,323.0,1947.0,720,7617.0,Scalable genomic data analysis.,73.0,24,True,2021-05-06 18:04:49.000000,0.2.67,87.0,hail,,,,['spark'],38.0,38.0,https://pypi.org/project/hail,2021-05-06 18:04:49.000000,0.0,5677.0,5677.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n415,mahotas,luispedro/mahotas,,image,https://github.com/luispedro/mahotas,https://github.com/luispedro/mahotas,MIT,2010-01-31 00:13:06.000000,2021-01-22 05:47:20.379000,2021-01-13 11:55:02.000000,132,16.0,57.0,686,1276.0,Computer Vision in Python.,30.0,24,True,2020-08-16 17:22:48.000000,1.4.11,57.0,mahotas,conda-forge/mahotas,,,,820.0,630.0,https://pypi.org/project/mahotas,2020-08-16 17:22:48.000000,190.0,47133.0,51605.0,https://anaconda.org/conda-forge/mahotas,2021-01-22 05:47:20.379000,277267.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n416,SALib,SALib/SALib,,probabilistics,https://github.com/SALib/SALib,https://github.com/SALib/SALib,MIT,2013-05-30 13:38:10.000000,2021-05-08 21:58:25.000000,2021-05-03 14:01:35.000000,147,39.0,191.0,461,952.0,\"Sensitivity Analysis Library in Python (Numpy). Contains Sobol, Morris, Fractional Factorial and FAST methods.\",26.0,24,True,2021-04-21 13:22:20.000000,1.3.13,31.0,salib,conda-forge/salib,,,,44.0,,https://pypi.org/project/salib,2021-04-21 13:31:22.000000,44.0,20693.0,21862.0,https://anaconda.org/conda-forge/salib,2020-10-24 17:04:41.614000,63129.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n417,TensorFlow I/O,tensorflow/io,,tensorflow-utils,https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05.000000,2021-05-13 13:14:37.000000,2021-05-13 03:35:38.000000,161,132.0,285.0,451,1428.0,\"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.\",73.0,24,True,2021-04-16 17:14:10.000000,0.17.1,22.0,tensorflow-io,,,,['tensorflow'],0.0,,https://pypi.org/project/tensorflow-io,2020-12-15 00:42:35.000000,0.0,168027.0,168027.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n418,findspark,minrk/findspark,,others,https://github.com/minrk/findspark,https://github.com/minrk/findspark,BSD-3-Clause,2015-06-12 21:34:06.000000,2020-06-08 09:32:35.000000,2020-06-08 09:31:58.000000,68,11.0,8.0,396,67.0,Find pyspark to make it importable.,14.0,24,True,2020-06-08 09:32:23.000000,1.4.2,12.0,findspark,conda-forge/findspark,,,['spark'],1900.0,1698.0,https://pypi.org/project/findspark,2020-06-08 09:32:23.000000,202.0,1118864.0,1128055.0,https://anaconda.org/conda-forge/findspark,2018-07-06 12:57:33.438000,542324.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n419,sklearn-crfsuite,TeamHG-Memex/sklearn-crfsuite,,sklearn-utils,https://github.com/TeamHG-Memex/sklearn-crfsuite,https://github.com/TeamHG-Memex/sklearn-crfsuite,MIT,2015-11-26 21:15:41.000000,2020-12-30 08:00:27.000000,2019-12-05 08:17:22.000000,155,33.0,22.0,369,46.0,scikit-learn inspired API for CRFsuite.,6.0,24,False,2017-06-22 18:49:27.000000,0.3.6,9.0,sklearn-crfsuite,,,,['sklearn'],3108.0,2712.0,https://pypi.org/project/sklearn-crfsuite,2017-06-22 18:49:27.000000,396.0,104829.0,104829.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n420,Cornac,PreferredAI/cornac,,recommender-systems,https://github.com/PreferredAI/cornac,https://github.com/PreferredAI/cornac,Apache-2.0,2018-07-17 06:31:35.000000,2021-04-28 21:57:17.000000,2021-04-24 08:28:45.000000,65,3.0,43.0,339,1174.0,A Comparative Framework for Multimodal Recommender Systems.,11.0,24,True,2021-03-30 03:20:12.000000,1.12.0,37.0,cornac,conda-forge/cornac,,,,46.0,44.0,https://pypi.org/project/cornac,2021-03-30 03:23:59.000000,2.0,2465.0,8184.0,https://anaconda.org/conda-forge/cornac,2021-03-30 16:45:43.648000,137269.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n421,pyvips,libvips/pyvips,,image,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000000,2021-03-19 19:33:38.000000,2021-02-24 09:49:23.000000,26,75.0,145.0,318,392.0,python binding for libvips using cffi.,10.0,24,True,2020-12-18 11:44:57.000000,2.1.14,20.0,pyvips,conda-forge/pyvips,,,,204.0,182.0,https://pypi.org/project/pyvips,2020-12-18 11:44:57.000000,22.0,10599.0,11012.0,https://anaconda.org/conda-forge/pyvips,2020-10-14 10:02:33.542000,8688.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n422,ml-metadata,google/ml-metadata,,ml-experiments,https://github.com/google/ml-metadata,https://github.com/google/ml-metadata,Apache-2.0,2019-01-15 21:02:09.000000,2021-05-11 16:41:47.000000,2021-05-07 17:20:48.000000,66,18.0,45.0,315,502.0,For recording and retrieving metadata associated with ML developer and data scientist workflows.,12.0,24,True,2021-04-20 01:16:08.000000,0.30.0,26.0,ml-metadata,,,,,111.0,111.0,https://pypi.org/project/ml-metadata,2021-04-20 01:16:08.000000,0.0,378543.0,378591.0,,,,,,,,3.0,1270.0,,,,,,,,,,,,,,,,,,,,,,\n423,TensorFlow Cloud,tensorflow/cloud,,tensorflow-utils,https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59.000000,2021-05-13 15:32:45.000000,2021-05-12 00:29:54.000000,50,49.0,25.0,239,535.0,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,19.0,24,True,2021-05-04 20:29:17.000000,0.1.14,17.0,tensorflow-cloud,,,,['tensorflow'],53.0,53.0,https://pypi.org/project/tensorflow-cloud,2021-05-04 20:29:17.000000,0.0,246634.0,246634.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n424,pysparkling,svenkreiss/pysparkling,,data-pipelines,https://github.com/svenkreiss/pysparkling,https://github.com/svenkreiss/pysparkling,MIT,2015-05-09 19:23:20.000000,2021-03-05 14:35:43.000000,2021-02-22 17:29:11.000000,45,7.0,21.0,234,1527.0,A pure Python implementation of Apache Spark's RDD and DStream interfaces.,10.0,24,True,2021-01-10 21:15:26.000000,0.6.1,68.0,pysparkling,,,,,76.0,62.0,https://pypi.org/project/pysparkling,2021-01-10 21:15:26.000000,14.0,13244.0,13244.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n425,Orion,Epistimio/orion,,hyperopt,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21.000000,2021-05-13 02:33:28.000000,2021-05-12 13:48:48.000000,40,41.0,115.0,189,2716.0,Asynchronous Distributed Hyperparameter Optimization.,23.0,24,True,2021-04-08 01:19:08.000000,0.1.14,15.0,orion,,,,,48.0,40.0,https://pypi.org/project/orion,2021-04-08 01:19:08.000000,8.0,2375.0,2375.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n426,cortex,cortexlabs/cortex,,model-serialisation,https://github.com/cortexlabs/cortex,https://github.com/cortexlabs/cortex,Apache-2.0,2019-01-24 04:43:14.000000,2021-05-13 15:02:30.000000,2021-05-13 04:58:35.000000,573,121.0,884.0,7491,2109.0,Scale compute-intensive serverless workloads.,21.0,23,True,2021-05-11 21:36:23.000000,0.35.0,54.0,cortex,,,,,0.0,,https://pypi.org/project/cortex,2021-05-11 21:29:43.000000,0.0,1420.0,1420.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n427,Ciphey,Ciphey/Ciphey,,nlp,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39.000000,2021-05-13 05:35:05.000000,2021-05-13 05:35:04.000000,385,44.0,189.0,6813,1751.0,\"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.\",41.0,23,True,2021-02-28 10:55:16.000000,5.11.1,44.0,ciphey,,remnux/ciphey,,,,,https://pypi.org/project/ciphey,2021-02-28 10:54:10.000000,,4858.0,5288.0,,,,https://hub.docker.com/r/remnux/ciphey,2021-04-17 23:37:17.538200,3.0,9471.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n428,Apex,NVIDIA/apex,,gpu-utilities,https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000000,2021-04-30 23:04:53.000000,2021-04-19 22:24:14.000000,727,467.0,372.0,5341,841.0,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,82.0,23,True,,,1.0,,conda-forge/nvidia-apex,,,['pytorch'],546.0,546.0,,,,,2349.0,https://anaconda.org/conda-forge/nvidia-apex,2021-04-22 16:13:47.237000,44634.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n429,PyAlgoTrade,gbeced/pyalgotrade,,financial-data,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54.000000,2021-04-19 00:39:07.000000,2018-08-21 02:42:52.000000,1187,45.0,81.0,3313,1156.0,Python Algorithmic Trading Library.,11.0,23,False,,,8.0,pyalgotrade,,,,,95.0,74.0,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25.000000,21.0,702.0,702.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n430,segmentation_models,qubvel/segmentation_models,,image,https://github.com/qubvel/segmentation_models,https://github.com/qubvel/segmentation_models,MIT,2018-06-05 13:27:56.000000,2021-04-02 06:02:48.000000,2020-04-17 09:51:20.000000,749,167.0,245.0,3170,204.0,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,14.0,23,False,2020-01-10 11:36:02.000000,1.0.1,8.0,segmentation_models,,,,['tensorflow'],24.0,,https://pypi.org/project/segmentation_models,2020-01-10 11:36:02.000000,24.0,20871.0,20871.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n431,Camelot,atlanhq/camelot,,data-loading,https://github.com/atlanhq/camelot,https://github.com/atlanhq/camelot,MIT,2016-06-18 11:48:49.000000,2020-07-27 12:28:15.000000,2019-10-15 05:25:40.000000,312,68.0,275.0,3040,446.0,Camelot: PDF Table Extraction for Humans.,23.0,23,False,2020-07-27 12:28:15.000000,0.8.2,21.0,camelot-py,,,,,20.0,,https://pypi.org/project/camelot-py,2020-07-27 12:28:15.000000,20.0,28419.0,28419.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n432,SHOGUN,shogun-toolbox/shogun,,ml-frameworks,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32.000000,2021-03-05 12:19:13.000000,2020-12-08 16:56:38.000000,1049,467.0,1077.0,2819,16205.0,Unified and efficient Machine Learning.,248.0,23,True,2019-07-05 10:23:31.000000,shogun_6.1.4,10.0,,conda-forge/shogun,shogun/shogun,,,,,,,,,2161.0,https://anaconda.org/conda-forge/shogun,2018-06-25 20:49:17.070000,98863.0,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1453.0,3.0,,,,,,,,,,shogun,,,,,,,,,,,,,\n433,Porcupine,Picovoice/Porcupine,,audio,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000000,2021-05-11 22:12:08.000000,2021-05-11 22:12:08.000000,353,6.0,301.0,2422,468.0,On-device wake word detection powered by deep learning.,27.0,23,True,2021-04-14 16:39:57.000000,1.9.5,19.0,pvporcupine,,,,,5.0,5.0,https://pypi.org/project/pvporcupine,2021-04-14 16:39:57.000000,0.0,1273.0,1273.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n434,analytics-zoo,intel-analytics/analytics-zoo,,distributed-ml,https://github.com/intel-analytics/analytics-zoo,https://github.com/intel-analytics/analytics-zoo,Apache-2.0,2017-05-05 02:27:30.000000,2021-05-13 09:08:51.000000,2021-05-13 01:55:49.000000,661,499.0,628.0,2298,2914.0,\"Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray.\",91.0,23,True,2021-04-28 09:00:31.000000,0.10.0,71.0,analytics-zoo,,,,['spark'],2.0,2.0,https://pypi.org/project/analytics-zoo,2021-05-12 07:36:15.000000,,1163.0,1163.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n435,neuralcoref,huggingface/neuralcoref,,nlp,https://github.com/huggingface/neuralcoref,https://github.com/huggingface/neuralcoref,MIT,2017-07-03 13:04:16.000000,2021-02-24 08:54:06.000000,2021-02-24 08:54:03.000000,399,51.0,219.0,2281,115.0,Fast Coreference Resolution in spaCy with Neural Networks.,20.0,23,True,2019-04-08 11:28:27.000000,4.0.0,5.0,neuralcoref,conda-forge/neuralcoref,,,,352.0,334.0,https://pypi.org/project/neuralcoref,2019-04-08 09:56:00.000000,18.0,8441.0,8968.0,https://anaconda.org/conda-forge/neuralcoref,2020-02-21 22:10:40.453000,7850.0,,,,,3.0,201.0,,,,,,,,,,,,,,,,,,,,,,\n436,ART,Trusted-AI/adversarial-robustness-toolbox,,adversarial,https://github.com/Trusted-AI/adversarial-robustness-toolbox,https://github.com/Trusted-AI/adversarial-robustness-toolbox,MIT,2018-03-15 14:40:43.000000,2021-05-13 12:41:40.000000,2021-05-12 16:52:07.000000,620,77.0,429.0,2219,,\"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..\",66.0,23,True,2021-04-16 23:43:51.000000,1.6.1,30.0,adversarial-robustness-toolbox,,,,,117.0,117.0,https://pypi.org/project/adversarial-robustness-toolbox,2021-03-16 14:39:19.000000,0.0,5223.0,5223.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n437,scikit-opt,guofei9987/scikit-opt,,sklearn-utils,https://github.com/guofei9987/scikit-opt,https://github.com/guofei9987/scikit-opt,MIT,2017-12-05 10:20:41.000000,2021-04-03 05:58:51.000000,2021-04-03 05:58:41.000000,515,23.0,75.0,2208,268.0,\"Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune..\",10.0,23,True,2021-03-27 15:31:11.000000,0.6.3,20.0,scikit-opt,,,,['sklearn'],35.0,32.0,https://pypi.org/project/scikit-opt,2021-03-27 15:27:39.000000,3.0,1319.0,1319.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n438,PandasGUI,adamerose/pandasgui,,data-viz,https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT,2019-06-12 02:19:42.000000,2021-05-13 08:06:18.000000,2021-05-13 08:06:13.000000,124,24.0,84.0,2189,403.0,A GUI for Pandas DataFrames.,8.0,23,True,2021-03-07 08:16:51.000000,0.2.10,40.0,pandasgui,,,,['pandas'],67.0,65.0,https://pypi.org/project/pandasgui,2021-03-07 08:16:51.000000,2.0,3865.0,3865.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n439,Enigma Catalyst,enigmampc/catalyst,,financial-data,https://github.com/enigmampc/catalyst,https://github.com/enigmampc/catalyst,Apache-2.0,2017-06-13 22:31:34.000000,2021-01-05 19:10:30.000000,2020-12-28 10:58:58.000000,617,135.0,356.0,2159,6362.0,An Algorithmic Trading Library for Crypto-Assets in Python.,144.0,23,True,2018-11-11 16:46:28.000000,0.5.21,52.0,enigma-catalyst,,,,,24.0,22.0,https://pypi.org/project/enigma-catalyst,2018-11-11 16:46:28.000000,2.0,2992.0,2992.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n440,fastNLP,fastnlp/fastNLP,,nlp,https://github.com/fastnlp/fastNLP,https://github.com/fastnlp/fastNLP,Apache-2.0,2018-03-07 13:30:20.000000,2021-04-22 01:57:46.000000,2021-04-12 13:45:28.000000,363,21.0,131.0,2133,1742.0,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,50.0,23,True,2020-11-06 15:31:29.000000,0.6.0,10.0,fastnlp,,,,,32.0,31.0,https://pypi.org/project/fastnlp,2019-02-04 02:35:37.000000,1.0,923.0,924.0,,,,,,,,3.0,54.0,,,,,,,,-2.0,,,,,,,,,,,,,,\n441,TF Ranking,tensorflow/ranking,,recommender-systems,https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57.000000,2021-05-06 02:25:18.000000,2021-02-04 05:28:28.000000,375,26.0,205.0,2116,325.0,Learning to Rank in TensorFlow.,20.0,23,True,2021-02-02 16:58:47.000000,0.3.3,15.0,tensorflow_ranking,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow_ranking,2021-01-30 02:05:46.000000,2.0,89218.0,89218.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n442,Acme,deepmind/acme,,reinforcement-learning,https://github.com/deepmind/acme,https://github.com/deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000000,2021-05-13 14:09:23.000000,2021-05-13 14:08:58.000000,218,43.0,54.0,2065,424.0,A library of reinforcement learning components and agents.,38.0,23,True,2020-10-23 16:00:01.000000,0.2.0,9.0,dm-acme,,,,['tensorflow'],27.0,27.0,https://pypi.org/project/dm-acme,2020-10-23 16:00:01.000000,,1700.0,1700.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n443,SRU,asappresearch/sru,,pytorch-utils,https://github.com/asappresearch/sru,https://github.com/asappresearch/sru,MIT,2017-08-28 20:37:41.000000,2021-05-13 15:29:14.000000,2021-03-19 22:29:41.000000,290,54.0,65.0,1944,383.0,Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755).,21.0,23,True,2021-05-12 15:08:20.000000,2.6.0.de,26.0,sru,,,,['pytorch'],17.0,15.0,https://pypi.org/project/sru,2021-05-12 15:08:49.000000,2.0,3454.0,3454.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n444,GluonTS,awslabs/gluon-ts,,time-series-data,https://github.com/awslabs/gluon-ts,https://github.com/awslabs/gluon-ts,Apache-2.0,2019-05-15 17:17:29.000000,2021-05-13 05:00:01.000000,2021-05-11 20:01:32.000000,392,208.0,378.0,1888,715.0,Probabilistic time series modeling in Python.,71.0,23,True,2021-05-11 09:27:09.000000,0.7.2,35.0,gluonts,,,,['mxnet'],0.0,,https://pypi.org/project/gluonts,2021-05-11 09:27:09.000000,0.0,35013.0,35013.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n445,PyFlux,RJT1990/pyflux,,time-series-data,https://github.com/RJT1990/pyflux,https://github.com/RJT1990/pyflux,BSD-3-Clause,2016-02-16 20:12:02.000000,2019-03-19 10:45:02.000000,2018-12-16 15:30:13.000000,210,79.0,65.0,1871,118.0,Open source time series library for Python.,6.0,23,False,2017-11-21 16:27:06.000000,0.4.16,35.0,pyflux,,,,,211.0,181.0,https://pypi.org/project/pyflux,2017-11-21 16:27:06.000000,30.0,33639.0,33639.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n446,Pillow-SIMD,uploadcare/pillow-simd,,image,https://github.com/uploadcare/pillow-simd,https://github.com/uploadcare/pillow-simd,PIL,2014-11-12 15:33:02.000000,2021-05-10 11:18:09.000000,2020-06-02 14:50:14.000000,67,12.0,54.0,1594,,The friendly PIL fork.,310.0,23,False,2020-01-02 05:19:26.000000,7.0.0,35.0,pillow-simd,,,,,451.0,401.0,https://pypi.org/project/pillow-simd,2020-01-26 14:30:27.000000,50.0,34961.0,34961.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n447,Multicore-TSNE,DmitryUlyanov/Multicore-TSNE,,data-viz,https://github.com/DmitryUlyanov/Multicore-TSNE,https://github.com/DmitryUlyanov/Multicore-TSNE,BSD-3-Clause,2016-10-19 05:46:52.000000,2021-04-23 10:26:30.160000,2020-08-19 14:58:00.000000,200,37.0,20.0,1571,113.0,Parallel t-SNE implementation with Python and Torch wrappers.,15.0,23,True,2017-11-08 13:32:20.000000,0.0.1,3.0,MulticoreTSNE,conda-forge/multicore-tsne,,,['pytorch'],250.0,222.0,https://pypi.org/project/MulticoreTSNE,2019-01-09 07:23:04.000000,28.0,5292.0,5535.0,https://anaconda.org/conda-forge/multicore-tsne,2021-04-23 10:26:30.160000,7317.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n448,PyTextRank,DerwenAI/pytextrank,,nlp,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000000,2021-05-05 04:34:13.000000,2021-05-05 04:34:13.000000,300,17.0,51.0,1538,,Python implementation of TextRank for phrase extraction and summarization of text documents.,13.0,23,True,2021-03-25 19:46:28.000000,3.1.1,15.0,pytextrank,,,,,167.0,155.0,https://pypi.org/project/pytextrank,2021-03-25 19:46:28.000000,12.0,11321.0,11321.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n449,streamparse,Parsely/streamparse,,data-pipelines,https://github.com/Parsely/streamparse,https://github.com/Parsely/streamparse,Apache-2.0,2014-05-02 20:33:50.000000,2020-12-18 18:44:04.000000,2020-12-18 18:43:59.000000,219,69.0,263.0,1431,1059.0,\"Run Python in Apache Storm topologies. Pythonic API, CLI tooling, and a topology DSL.\",40.0,23,True,2020-10-07 19:53:15.000000,4.0.0,47.0,streamparse,,,,,100.0,48.0,https://pypi.org/project/streamparse,2020-10-07 19:45:19.000000,52.0,2864.0,2864.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n450,Magnitude,plasticityai/magnitude,,nn-search,https://github.com/plasticityai/magnitude,https://github.com/plasticityai/magnitude,MIT,2018-02-24 07:28:16.000000,2021-02-23 18:10:43.000000,2020-07-17 20:19:46.000000,100,27.0,50.0,1430,350.0,\"A fast, efficient universal vector embedding utility package.\",4.0,23,True,2020-05-25 11:26:36.000000,0.1.143,128.0,pymagnitude,,,,,203.0,189.0,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36.000000,14.0,8362.0,8362.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n451,mljar-supervised,mljar/mljar-supervised,,hyperopt,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000000,2021-05-13 08:58:42.000000,2021-05-13 08:58:42.000000,157,32.0,331.0,1254,888.0,Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning.,9.0,23,True,2021-04-01 15:02:32.000000,0.10.3,70.0,mljar-supervised,,,,,10.0,10.0,https://pypi.org/project/mljar-supervised,2021-04-01 14:13:12.000000,,5097.0,5097.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n452,Torch Points 3D,nicolas-chaulet/torch-points3d,,image,https://github.com/nicolas-chaulet/torch-points3d,https://github.com/nicolas-chaulet/torch-points3d,BSD-3-Clause,2019-12-06 11:33:34.000000,2021-05-13 08:42:19.000000,2021-05-07 08:15:48.000000,189,51.0,182.0,1242,1631.0,Pytorch framework for doing deep learning on point clouds.,23.0,23,True,2021-04-30 09:00:22.000000,1.3.0,14.0,torch-points3d,,,,['pytorch'],3.0,3.0,https://pypi.org/project/torch-points3d,2021-04-30 09:00:22.000000,,666.0,666.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n453,Pypeline,cgarciae/pypeln,,data-pipelines,https://github.com/cgarciae/pypeln,https://github.com/cgarciae/pypeln,MIT,2018-09-01 13:43:31.000000,2021-05-01 11:58:40.000000,2021-04-13 00:55:39.000000,70,14.0,36.0,1225,235.0,Concurrent data pipelines in Python .,10.0,23,True,2021-01-05 18:00:06.000000,0.4.7,34.0,pypeln,,,,,10.0,,https://pypi.org/project/pypeln,2021-01-05 18:00:06.000000,10.0,30805.0,30805.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n454,metric-learn,scikit-learn-contrib/metric-learn,,others,https://github.com/scikit-learn-contrib/metric-learn,https://github.com/scikit-learn-contrib/metric-learn,MIT,2013-11-02 08:29:47.000000,2021-04-28 08:46:22.000000,2021-04-26 08:27:27.000000,216,52.0,110.0,1145,266.0,Metric learning algorithms in Python.,19.0,23,True,2020-07-02 12:59:23.000000,0.6.2,10.0,metric-learn,,,,['sklearn'],156.0,138.0,https://pypi.org/project/metric-learn,2020-07-02 12:59:23.000000,18.0,7979.0,7979.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n455,livelossplot,stared/livelossplot,,ml-experiments,https://github.com/stared/livelossplot,https://github.com/stared/livelossplot,MIT,2018-03-10 17:51:43.000000,2021-02-07 23:25:37.000000,2021-02-07 23:24:31.000000,137,3.0,70.0,1074,323.0,\"Live training loss plot in Jupyter Notebook for Keras, PyTorch and others.\",16.0,23,True,2021-02-03 16:25:47.000000,0.5.4,24.0,livelossplot,,,,['jupyter'],531.0,521.0,https://pypi.org/project/livelossplot,2021-02-03 16:25:47.000000,10.0,32841.0,32841.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n456,TabPy,tableau/TabPy,,others,https://github.com/tableau/TabPy,https://github.com/tableau/TabPy,MIT,2016-09-27 21:26:03.000000,2021-02-04 23:28:56.000000,2021-02-04 23:28:56.000000,397,10.0,265.0,1073,828.0,Execute Python code on the fly and display results in Tableau visualizations:.,40.0,23,True,2020-11-11 19:06:41.000000,2.3.1,24.0,tabpy,,,,,61.0,61.0,https://pypi.org/project/tabpy,2020-11-11 19:06:41.000000,0.0,21839.0,21839.0,,,,,,,,3.0,,,,,,,,,-2.0,,,,,,,,,,,,,,\n457,FairScale,facebookresearch/fairscale,,distributed-ml,https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000000,2021-05-13 04:51:10.000000,2021-05-13 01:41:40.000000,77,42.0,131.0,1028,446.0,PyTorch extensions for high performance and large scale training.,30.0,23,True,2021-04-19 19:54:04.000000,0.3.5,18.0,fairscale,,,,['pytorch'],18.0,18.0,https://pypi.org/project/fairscale,2021-04-26 18:04:27.000000,0.0,11969.0,11969.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n458,tensorly,tensorly/tensorly,,others,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52.000000,2021-05-12 14:23:55.000000,2021-05-11 12:29:27.000000,205,34.0,107.0,1009,,TensorLy: Tensor Learning in Python.,43.0,23,True,2021-04-15 15:01:47.000000,0.5.1,17.0,tensorly,conda-forge/tensorly,,,,165.0,145.0,https://pypi.org/project/tensorly,2021-04-14 11:18:01.000000,20.0,8724.0,12454.0,https://anaconda.org/conda-forge/tensorly,2020-12-07 22:44:30.386000,134309.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n459,Optimus,ironmussa/Optimus,,data-pipelines,https://github.com/ironmussa/Optimus,https://github.com/ironmussa/Optimus,Apache-2.0,2017-07-13 02:31:18.000000,2021-05-11 04:20:44.000000,2021-05-11 04:20:38.000000,192,139.0,170.0,1007,3530.0,\"Agile Data Preparation Workflows madeeasy with pandas, dask, cudf, dask_cudf and pyspark.\",21.0,23,True,2020-07-19 03:05:40.000000,2.2.32,85.0,optimuspyspark,,,,['spark'],14.0,14.0,https://pypi.org/project/optimuspyspark,2019-05-30 02:22:54.000000,,7797.0,7797.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n460,Alibi,SeldonIO/alibi,,interpretability,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Apache-2.0,2019-02-26 10:10:56.000000,2021-05-12 15:36:58.000000,2021-05-12 15:36:18.000000,126,82.0,94.0,987,267.0,Algorithms for monitoring and explaining machine learning models.,13.0,23,True,2021-04-29 14:20:00.000000,0.5.8,18.0,alibi,,,,,97.0,79.0,https://pypi.org/project/alibi,2021-04-29 14:19:18.000000,18.0,10373.0,10373.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n461,ChainerRL,chainer/chainerrl,,reinforcement-learning,https://github.com/chainer/chainerrl,https://github.com/chainer/chainerrl,MIT,2017-01-30 04:58:15.000000,2021-04-17 06:02:31.000000,2021-04-17 06:02:30.000000,206,75.0,146.0,949,3471.0,ChainerRL is a deep reinforcement learning library built on top of Chainer.,29.0,23,True,2020-02-14 05:35:56.000000,0.8.0,10.0,chainerrl,,,,,112.0,98.0,https://pypi.org/project/chainerrl,2020-02-14 05:35:56.000000,14.0,596.0,596.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n462,ogb,snap-stanford/ogb,,graph,https://github.com/snap-stanford/ogb,https://github.com/snap-stanford/ogb,MIT,2019-11-22 22:13:57.000000,2021-05-13 09:05:43.000000,2021-05-13 09:05:40.000000,178,3.0,134.0,931,519.0,\"Benchmark datasets, data loaders, and evaluators for graph machine learning.\",15.0,23,True,2021-04-07 08:44:37.000000,1.3.1,14.0,ogb,,,,,90.0,90.0,https://pypi.org/project/ogb,2021-04-07 08:44:37.000000,0.0,6442.0,6442.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n463,keract,philipperemy/keract,,interpretability,https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57.000000,2021-05-02 00:52:25.000000,2021-04-30 05:11:38.000000,178,3.0,76.0,878,361.0,Layers Outputs and Gradients in Keras. Made easy.,15.0,23,True,2021-01-22 09:01:30.000000,4.4.0,37.0,keract,,,,['tensorflow'],84.0,79.0,https://pypi.org/project/keract,2021-01-22 09:01:30.000000,5.0,1986.0,1986.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n464,scikit-cuda,lebedov/scikit-cuda,,gpu-utilities,https://github.com/lebedov/scikit-cuda,https://github.com/lebedov/scikit-cuda,BSD-3-Clause,2010-09-27 02:02:07.000000,2021-03-30 14:24:47.000000,2021-03-30 14:24:27.000000,160,42.0,165.0,824,1029.0,Python interface to GPU-powered libraries.,44.0,23,True,2019-05-27 00:29:00.000000,0.5.3,7.0,scikit-cuda,,,,,197.0,127.0,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00.000000,70.0,909.0,909.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n465,pingouin,raphaelvallat/pingouin,,probabilistics,https://github.com/raphaelvallat/pingouin,https://github.com/raphaelvallat/pingouin,GPL-3.0,2018-04-01 01:10:22.000000,2021-04-29 00:37:20.000000,2021-04-14 21:19:35.000000,59,14.0,122.0,718,1079.0,Statistical package in Python based on Pandas.,18.0,23,False,2021-04-14 21:19:07.000000,0.3.11,32.0,pingouin,conda-forge/pingouin,,,,225.0,215.0,https://pypi.org/project/pingouin,2021-02-16 05:37:08.000000,10.0,32223.0,33482.0,https://anaconda.org/conda-forge/pingouin,2021-04-14 23:58:01.810000,36535.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n466,GPUtil,anderskm/gputil,,gpu-utilities,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43.000000,2020-10-01 05:42:49.000000,2019-08-16 09:00:15.000000,80,11.0,14.0,716,140.0,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,13.0,23,False,2018-12-18 09:12:13.000000,1.4.0,8.0,gputil,,,,,1277.0,1175.0,https://pypi.org/project/gputil,2018-12-18 09:12:13.000000,102.0,113653.0,113653.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n467,arch,bashtage/arch,,financial-data,https://github.com/bashtage/arch,https://github.com/bashtage/arch,NCSA,2014-08-29 15:41:28.000000,2021-05-12 15:29:27.000000,2021-05-12 15:24:16.000000,163,13.0,138.0,701,,ARCH models in Python.,26.0,23,False,2021-03-16 08:28:41.000000,4.19,32.0,arch,,,,,333.0,291.0,https://pypi.org/project/arch,2021-03-16 08:30:20.000000,42.0,60520.0,60520.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n468,Node2Vec,eliorc/node2vec,,graph,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000000,2021-04-16 07:45:36.000000,2021-04-16 07:42:56.000000,175,3.0,56.0,689,56.0,Implementation of the node2vec algorithm.,8.0,23,True,2021-04-16 07:45:36.000000,0.4.3,14.0,node2vec,conda-forge/node2vec,,,,144.0,134.0,https://pypi.org/project/node2vec,2021-04-02 06:33:26.000000,10.0,10462.0,10941.0,https://anaconda.org/conda-forge/node2vec,2020-04-25 22:41:13.714000,17255.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n469,NeuPy,itdxer/neupy,,ml-frameworks,https://github.com/itdxer/neupy,https://github.com/itdxer/neupy,MIT,2015-08-24 19:45:11.000000,2021-03-18 20:44:32.000000,2019-09-02 19:02:38.000000,149,27.0,231.0,679,1145.0,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,6.0,23,False,2019-04-04 19:44:59.000000,0.8.2,34.0,neupy,,,,,119.0,108.0,https://pypi.org/project/neupy,2019-04-04 19:43:06.000000,11.0,1756.0,1756.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n470,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,,data-viz,https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14.000000,2021-05-10 08:15:20.000000,2021-05-10 08:14:09.000000,83,19.0,59.0,668,289.0,Bokeh Plotting Backend for Pandas and GeoPandas.,12.0,23,True,2021-04-11 17:43:13.000000,0.5.5,16.0,pandas-bokeh,,,,['pandas'],183.0,173.0,https://pypi.org/project/pandas-bokeh,2021-04-11 17:43:13.000000,10.0,8412.0,8412.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n471,scikit-multilearn,scikit-multilearn/scikit-multilearn,,sklearn-utils,https://github.com/scikit-multilearn/scikit-multilearn,https://github.com/scikit-multilearn/scikit-multilearn,BSD-2-Clause,2014-04-30 13:05:44.000000,2020-06-30 10:19:46.000000,2019-05-21 11:29:06.000000,120,66.0,92.0,659,487.0,A scikit-learn based module for multi-label et. al. classification.,15.0,23,False,2018-12-10 16:24:47.000000,0.2.0,6.0,scikit-multilearn,,,,['sklearn'],443.0,421.0,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47.000000,22.0,84604.0,84604.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n472,CellProfiler,CellProfiler/CellProfiler,,image,https://github.com/CellProfiler/CellProfiler,https://github.com/CellProfiler/CellProfiler,BSD-3-Clause,2011-04-05 12:10:12.000000,2021-05-13 14:24:44.000000,2021-04-16 14:14:14.000000,275,171.0,2788.0,565,15310.0,An open-source application for biological image analysis.,119.0,23,True,2021-02-16 21:59:54.000000,4.1.3,41.0,cellprofiler,,,,,4.0,4.0,https://pypi.org/project/cellprofiler,2017-09-04 18:03:36.000000,,543.0,553.0,,,,,,,,3.0,945.0,,,,,,,,,,,,,,,,,,,,,,\n473,combo,yzhao062/combo,,sklearn-utils,https://github.com/yzhao062/combo,https://github.com/yzhao062/combo,BSD-2-Clause,2019-07-14 01:13:36.000000,2021-03-29 00:05:33.000000,2021-03-15 01:39:54.000000,84,9.0,3.0,493,202.0,(AAAI' 20) A Python Toolbox for Machine Learning Model Combination.,1.0,23,True,2020-12-23 02:21:49.000000,0.1.2,12.0,combo,,,,\"['sklearn', 'xgboost']\",337.0,337.0,https://pypi.org/project/combo,2020-12-23 02:21:49.000000,0.0,23970.0,23970.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n474,python-ternary,marcharper/python-ternary,,data-viz,https://github.com/marcharper/python-ternary,https://github.com/marcharper/python-ternary,MIT,2012-08-07 23:48:55.000000,2021-05-06 15:42:52.000000,2021-05-06 15:42:51.000000,111,24.0,85.0,414,386.0,Ternary plotting library for python with matplotlib.,25.0,23,True,2021-02-17 18:38:15.000000,1.0.8,11.0,python-ternary,conda-forge/python-ternary,,,,85.0,65.0,https://pypi.org/project/python-ternary,2021-02-17 18:38:15.000000,20.0,4203.0,5075.0,https://anaconda.org/conda-forge/python-ternary,2021-02-17 22:38:55.625000,53239.0,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,,,,,\n475,messytables,okfn/messytables,,data-loading,https://github.com/okfn/messytables,https://github.com/okfn/messytables,MIT,2011-07-27 18:08:21.000000,2021-03-31 18:37:21.000000,2019-11-13 07:35:33.000000,101,34.0,55.0,365,601.0,Tools for parsing messy tabular data. This is now superseded by https://github.com/frictionlessdata/tabulator-py.,44.0,23,False,2017-02-09 12:37:47.000000,0.15.2,26.0,messytables,,,,,426.0,194.0,https://pypi.org/project/messytables,2017-02-09 12:37:47.000000,232.0,7374.0,7374.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n476,GeoViews,holoviz/geoviews,,geospatial-data,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000000,2021-04-13 11:40:25.000000,2021-04-13 11:40:25.000000,64,78.0,180.0,345,656.0,\"Simple, concise geographical visualization in Python.\",23.0,23,True,2021-03-13 16:29:11.000000,1.9.1,26.0,geoviews,conda-forge/geoviews,,,,20.0,,https://pypi.org/project/geoviews,2021-03-13 16:29:11.000000,20.0,6629.0,8401.0,https://anaconda.org/conda-forge/geoviews,2021-03-14 15:19:05.550000,67337.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n477,pySBD,nipunsadvilkar/pySBD,,nlp,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20.000000,2021-04-25 08:42:15.000000,2021-02-11 16:40:18.000000,29,8.0,48.0,314,279.0,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,6.0,23,True,2021-02-11 16:42:37.000000,0.3.4,15.0,pysbd,,,,,152.0,148.0,https://pypi.org/project/pysbd,2021-02-11 16:36:33.000000,4.0,23454.0,23454.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n478,NIPY,nipy/nipy,,medical-data,https://github.com/nipy/nipy,https://github.com/nipy/nipy,BSD-3-Clause,2010-05-02 10:00:33.000000,2021-03-30 10:02:24.000000,2021-03-29 16:56:48.000000,123,43.0,110.0,295,6427.0,Neuroimaging in Python FMRI analysis package.,63.0,23,True,2018-02-19 14:14:08.000000,0.4.2,6.0,nipy,conda-forge/nipy,,,,82.0,,https://pypi.org/project/nipy,2018-02-19 14:14:08.000000,82.0,1375.0,3097.0,https://anaconda.org/conda-forge/nipy,2020-05-04 19:38:04.112000,79222.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n479,Recommenders,microsoft/recommenders,,recommender-systems,https://github.com/microsoft/recommenders,https://github.com/microsoft/recommenders,MIT,2018-09-19 10:06:07.000000,2021-05-13 13:52:42.000000,2021-05-11 12:03:37.000000,1694,132.0,449.0,9666,6334.0,Best Practices on Recommendation Systems.,93.0,22,True,2021-04-30 09:22:21.000000,0.5.0,7.0,,,,,,2.0,2.0,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n480,cuDF,rapidsai/cudf,,gpu-utilities,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000000,2021-05-13 14:00:21.000000,2021-05-13 12:36:16.000000,516,623.0,3063.0,3932,,cuDF - GPU DataFrame Library.,209.0,22,True,2021-04-28 18:30:45.000000,0.19.2,10.0,cudf,,,,,4.0,,https://pypi.org/project/cudf,2020-06-01 20:07:47.000000,4.0,1541.0,1541.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n481,neon,NervanaSystems/neon,,ml-frameworks,https://github.com/NervanaSystems/neon,https://github.com/NervanaSystems/neon,Apache-2.0,2014-10-16 01:00:17.000000,2020-12-23 01:21:42.000000,2019-05-22 18:27:54.000000,848,87.0,305.0,3853,1118.0,Intel Nervana reference deep learning framework committed to best performance on all hardware.,109.0,22,False,2018-01-05 23:25:04.000000,2.6.0,32.0,nervananeon,,,,,46.0,45.0,https://pypi.org/project/nervananeon,2018-01-05 23:25:04.000000,1.0,136.0,140.0,,,,,,,,3.0,307.0,,,,,,,,,,,,,,,,,,,,,,\n482,DeepMatcher,anhaidgroup/deepmatcher,,nlp,https://github.com/anhaidgroup/deepmatcher,https://github.com/anhaidgroup/deepmatcher,BSD-3-Clause,2017-12-01 19:01:11.000000,2021-05-11 03:28:42.000000,2021-05-11 03:28:42.000000,1340,47.0,20.0,3598,172.0,Python package for performing Entity and Text Matching using Deep Learning.,7.0,22,True,2019-12-30 19:49:33.000000,0.1.1,10.0,deepmatcher,,,,,12.0,12.0,https://pypi.org/project/deepmatcher,2021-05-11 02:28:25.000000,,788.0,788.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n483,Image Deduplicator,idealo/imagededup,,image,https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54.000000,2021-03-16 10:25:33.000000,2020-11-23 17:40:40.000000,296,20.0,57.0,3553,460.0,Finding duplicate images made easy!.,9.0,22,True,2020-11-23 17:55:24.000000,0.2.4,9.0,imagededup,,,,['tensorflow'],13.0,11.0,https://pypi.org/project/imagededup,2020-11-22 21:09:36.000000,2.0,2157.0,2157.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n484,MatchZoo,NTMC-Community/MatchZoo,,nlp,https://github.com/NTMC-Community/MatchZoo,https://github.com/NTMC-Community/MatchZoo,Apache-2.0,2017-06-08 08:55:22.000000,2020-06-17 07:27:59.000000,2019-10-24 13:10:07.000000,877,27.0,428.0,3419,1808.0,\"Facilitating the design, comparison and sharing of deep text matching models.\",35.0,22,False,2019-10-24 13:09:11.000000,2.2.0,5.0,matchzoo,,,,['tensorflow'],10.0,10.0,https://pypi.org/project/matchzoo,2019-10-24 13:09:11.000000,,206.0,206.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n485,AdaNet,tensorflow/adanet,,hyperopt,https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24.000000,2020-07-09 21:03:28.000000,2020-07-09 20:51:04.000000,510,65.0,47.0,3280,439.0,Fast and flexible AutoML with learning guarantees.,26.0,22,True,2020-07-09 21:03:28.000000,0.9.0,13.0,adanet,,,,['tensorflow'],39.0,37.0,https://pypi.org/project/adanet,2020-07-09 21:03:28.000000,2.0,1364.0,1364.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n486,TensorWatch,microsoft/tensorwatch,,ml-experiments,https://github.com/microsoft/tensorwatch,https://github.com/microsoft/tensorwatch,MIT,2019-05-15 08:29:34.000000,2021-04-13 09:44:02.000000,2021-01-15 19:46:05.000000,326,49.0,15.0,3082,112.0,\"Debugging, monitoring and visualization for Python Machine Learning and Data Science.\",13.0,22,True,2020-03-04 07:26:22.000000,0.9.1,14.0,tensorwatch,,,,,55.0,49.0,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22.000000,6.0,3908.0,3908.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n487,Image Super-Resolution,idealo/image-super-resolution,,image,https://github.com/idealo/image-super-resolution,https://github.com/idealo/image-super-resolution,Apache-2.0,2018-11-26 13:41:13.000000,2021-04-08 09:55:00.000000,2020-11-11 15:09:19.000000,515,69.0,102.0,2763,138.0,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,9.0,22,True,2020-01-08 15:37:35.000000,2.2.0,11.0,ISR,,idealo/image-super-resolution-gpu,,['tensorflow'],57.0,49.0,https://pypi.org/project/ISR,2020-01-08 15:37:35.000000,8.0,4883.0,4887.0,,,,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,,141.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n488,gpt-2-simple,minimaxir/gpt-2-simple,,nlp,https://github.com/minimaxir/gpt-2-simple,https://github.com/minimaxir/gpt-2-simple,MIT,2019-04-13 20:00:52.000000,2021-04-20 23:55:42.000000,2021-02-14 19:39:38.000000,541,144.0,93.0,2659,133.0,Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts.,17.0,22,True,2021-02-14 21:13:20.000000,0.7.2,16.0,gpt-2-simple,,,,['tensorflow'],6.0,,https://pypi.org/project/gpt-2-simple,2021-02-14 20:20:24.000000,6.0,12905.0,12913.0,,,,,,,,3.0,221.0,,,,,,,,,,,,,,,,,,,,,,\n489,tensorflow-graphics,tensorflow/graphics,,image,https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44.000000,2021-05-10 18:28:57.000000,2021-04-19 19:37:05.000000,289,111.0,84.0,2454,658.0,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,32.0,22,True,2020-05-20 19:56:41.000000,2020.5.20,21.0,tensorflow-graphics,,,,['tensorflow'],4.0,1.0,https://pypi.org/project/tensorflow-graphics,2020-05-20 19:56:41.000000,3.0,2654.0,2654.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n490,MMLSpark,Azure/mmlspark,,distributed-ml,https://github.com/Azure/mmlspark,https://github.com/Azure/mmlspark,MIT,2017-06-05 08:23:44.000000,2021-05-12 14:08:44.000000,2021-05-11 19:05:25.000000,503,202.0,231.0,2324,829.0,Microsoft Machine Learning for Apache Spark.,66.0,22,True,2020-10-02 19:36:01.000000,1.0.0-rc3,17.0,mmlspark,,,,['spark'],,,https://pypi.org/project/mmlspark,2020-03-18 01:27:31.000000,,31134.0,31134.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n491,Texar,asyml/texar,,nlp,https://github.com/asyml/texar,https://github.com/asyml/texar,Apache-2.0,2017-07-22 19:02:05.000000,2020-09-17 07:03:55.000000,2020-07-29 00:38:30.000000,356,33.0,126.0,2162,1719.0,\"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the..\",41.0,22,True,2019-11-19 04:11:18.000000,0.2.4,6.0,texar,,,,['tensorflow'],16.0,14.0,https://pypi.org/project/texar,2019-11-19 04:11:18.000000,2.0,183.0,183.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n492,m2cgen,BayesWitnesses/m2cgen,,model-serialisation,https://github.com/BayesWitnesses/m2cgen,https://github.com/BayesWitnesses/m2cgen,MIT,2019-01-13 02:32:55.000000,2021-05-13 01:20:09.000000,2021-05-12 00:28:32.000000,153,36.0,45.0,1795,271.0,\"Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart,..\",12.0,22,True,2020-09-18 19:17:26.000000,0.9.0,12.0,m2cgen,,,,,6.0,6.0,https://pypi.org/project/m2cgen,2020-09-18 19:16:17.000000,,25337.0,25337.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n493,vidgear,abhiTronix/vidgear,,image,https://github.com/abhiTronix/vidgear,https://github.com/abhiTronix/vidgear,Apache-2.0,2019-03-17 02:42:42.000000,2021-05-13 02:23:10.000000,2021-04-25 17:12:04.000000,123,4.0,142.0,1764,649.0,High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features.,6.0,22,True,2021-04-25 18:49:14.000000,idgear-0.2.1,13.0,vidgear,,,,,103.0,101.0,https://pypi.org/project/vidgear,2021-01-01 07:57:09.000000,2.0,2172.0,2185.0,,,,,,,,3.0,342.0,,,,,,,,,,,,,,,,,,,,,,\n494,AmpliGraph,Accenture/AmpliGraph,,graph,https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05.000000,2021-05-10 10:48:17.000000,2020-08-25 17:00:58.000000,165,25.0,161.0,1493,895.0,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,14.0,22,True,2020-08-25 17:06:46.000000,1.3.2,11.0,ampligraph,,,,['tensorflow'],13.0,13.0,https://pypi.org/project/ampligraph,2020-08-25 16:59:58.000000,,1516.0,1516.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n495,Neural Tangents,google/neural-tangents,,ml-frameworks,https://github.com/google/neural-tangents,https://github.com/google/neural-tangents,Apache-2.0,2019-04-08 16:48:48.000000,2021-05-11 00:03:25.000000,2021-05-11 00:03:18.000000,156,28.0,59.0,1420,373.0,Fast and Easy Infinite Neural Networks in Python.,18.0,22,True,2021-01-25 23:20:02.000000,0.3.6,20.0,neural-tangents,,,,,14.0,14.0,https://pypi.org/project/neural-tangents,2021-01-25 23:06:16.000000,0.0,497.0,507.0,,,,,,,,3.0,114.0,,,,,,,,,,,,,,,,,,,,,,\n496,anaGo,Hironsan/anago,,nlp,https://github.com/Hironsan/anago,https://github.com/Hironsan/anago,MIT,2017-06-26 21:28:36.000000,2021-04-01 12:35:21.000000,2021-04-01 12:34:50.000000,361,36.0,71.0,1402,298.0,\"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.\",11.0,22,True,2018-07-17 01:59:21.000000,1.0.8,14.0,anago,,,,['tensorflow'],30.0,25.0,https://pypi.org/project/anago,2018-07-17 01:59:21.000000,5.0,7638.0,7638.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n497,Talos,autonomio/talos,,hyperopt,https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41.000000,2021-04-10 08:48:31.000000,2020-11-21 16:27:04.000000,232,41.0,348.0,1401,538.0,\"Hyperparameter Optimization for TensorFlow, Keras and PyTorch.\",19.0,22,True,2020-11-09 16:48:30.000000,1.0,14.0,talos,,,,['tensorflow'],120.0,114.0,https://pypi.org/project/talos,2020-11-09 16:49:08.000000,6.0,2034.0,2034.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n498,EfficientNets,rwightman/gen-efficientnet-pytorch,,pytorch-utils,https://github.com/rwightman/gen-efficientnet-pytorch,https://github.com/rwightman/gen-efficientnet-pytorch,Apache-2.0,2019-05-11 19:35:56.000000,2021-04-16 18:42:01.000000,2020-11-30 05:49:27.000000,174,,48.0,1313,106.0,\"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.\",5.0,22,True,2020-08-20 19:55:21.000000,1.0.0,9.0,geffnet,,,,['pytorch'],50.0,50.0,https://pypi.org/project/geffnet,2020-08-20 19:55:21.000000,0.0,4935.0,4935.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n499,Torchmeta,tristandeleu/pytorch-meta,,pytorch-utils,https://github.com/tristandeleu/pytorch-meta,https://github.com/tristandeleu/pytorch-meta,MIT,2018-12-04 23:36:45.000000,2021-04-13 10:29:29.000000,2021-03-19 14:47:19.000000,150,27.0,77.0,1312,342.0,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.,10.0,22,True,2021-03-19 14:49:53.000000,1.7.0,27.0,torchmeta,,,,['pytorch'],38.0,38.0,https://pypi.org/project/torchmeta,2021-03-19 14:49:53.000000,,1053.0,1053.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n500,NiftyNet,NifTK/NiftyNet,,medical-data,https://github.com/NifTK/NiftyNet,https://github.com/NifTK/NiftyNet,Apache-2.0,2017-08-30 07:55:43.000000,2020-04-21 19:54:52.000000,2020-04-21 19:54:51.000000,385,102.0,224.0,1281,2848.0,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,58.0,22,False,2019-10-10 10:59:33.000000,0.6.0,11.0,niftynet,,,,['tensorflow'],35.0,34.0,https://pypi.org/project/niftynet,2019-10-10 10:59:33.000000,1.0,191.0,191.0,,,,,,,,3.0,,,,,,,,,2.0,,,,,,,,,,,,,,\n501,Karate Club,benedekrozemberczki/karateclub,,graph,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56.000000,2021-04-11 20:49:05.000000,2021-04-11 20:48:57.000000,150,,54.0,1245,2122.0,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,11.0,22,False,2021-03-30 00:11:09.000000,_10024,97.0,karateclub,,,,,36.0,36.0,https://pypi.org/project/karateclub,2021-03-30 00:05:59.000000,0.0,7322.0,7322.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n502,MLBox,AxeldeRomblay/MLBox,,hyperopt,https://github.com/AxeldeRomblay/MLBox,https://github.com/AxeldeRomblay/MLBox,BSD-1-Clause,2017-06-01 16:59:24.000000,2021-04-30 09:57:12.000000,2020-08-25 09:26:27.000000,251,14.0,73.0,1221,1121.0,MLBox is a powerful Automated Machine Learning python library.,9.0,22,False,2020-08-25 09:32:37.000000,0.8.5,21.0,mlbox,,,,,24.0,24.0,https://pypi.org/project/mlbox,2020-08-25 09:32:37.000000,,2169.0,2169.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n503,FARM,deepset-ai/FARM,,nlp,https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12.000000,2021-05-10 18:24:18.000000,2021-05-10 18:24:18.000000,177,38.0,326.0,1186,555.0,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,32.0,22,True,2021-03-31 14:33:39.000000,0.7.1,23.0,farm,,,,['pytorch'],2.0,,https://pypi.org/project/farm,2021-02-22 17:30:04.000000,2.0,6589.0,6589.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n504,Higher,facebookresearch/higher,,pytorch-utils,https://github.com/facebookresearch/higher,https://github.com/facebookresearch/higher,Apache-2.0,2019-09-06 18:58:36.000000,2021-03-02 09:56:03.000000,2021-03-02 09:56:03.000000,82,34.0,48.0,1131,29.0,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,8.0,22,True,2020-07-14 12:20:32.000000,0.2.1,2.0,higher,,,,['pytorch'],52.0,52.0,https://pypi.org/project/higher,2020-07-14 12:20:32.000000,0.0,20556.0,20556.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n505,pycm,sepandhaghighi/pycm,,others,https://github.com/sepandhaghighi/pycm,https://github.com/sepandhaghighi/pycm,MIT,2018-01-22 19:46:54.000000,2021-05-13 12:20:10.000000,2021-03-11 15:42:19.000000,93,12.0,155.0,1092,2619.0,Multi-class confusion matrix library in Python.,14.0,22,True,2021-03-11 15:51:49.000000,3.1,35.0,pycm,,,,,109.0,99.0,https://pypi.org/project/pycm,2021-03-11 15:52:23.000000,10.0,6984.0,6984.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n506,FinTA,peerchemist/finta,,financial-data,https://github.com/peerchemist/finta,https://github.com/peerchemist/finta,LGPL-3.0,2016-09-01 21:02:46.000000,2021-05-12 15:27:02.000000,2021-05-12 15:26:57.000000,347,10.0,62.0,1020,383.0,Common financial technical indicators implemented in Pandas.,24.0,22,False,2021-04-03 08:51:49.000000,1.3,19.0,finta,,,,,77.0,73.0,https://pypi.org/project/finta,2020-10-21 11:39:44.000000,4.0,6986.0,6986.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n507,pandasql,yhat/pandasql,,data-containers,https://github.com/yhat/pandasql,https://github.com/yhat/pandasql,MIT,2013-02-18 01:53:56.000000,2020-08-14 13:00:13.000000,2017-02-01 15:40:30.000000,141,44.0,23.0,981,127.0,sqldf for pandas.,15.0,22,False,2016-04-20 21:52:36.000000,0.7.3,31.0,pandasql,,,,['pandas'],843.0,745.0,https://pypi.org/project/pandasql,2016-04-20 21:52:36.000000,98.0,339605.0,339605.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n508,SciSpacy,allenai/scispacy,,nlp,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52.000000,2021-04-19 22:02:42.000000,2021-04-19 22:02:36.000000,133,28.0,153.0,907,,A full spaCy pipeline and models for scientific/biomedical documents.,20.0,22,True,2021-02-12 22:56:06.000000,0.4.0,10.0,scispacy,,,,,264.0,252.0,https://pypi.org/project/scispacy,2021-02-12 22:56:06.000000,12.0,16654.0,16654.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n509,minisom,JustGlowing/minisom,,others,https://github.com/JustGlowing/minisom,https://github.com/JustGlowing/minisom,CC-BY-3.0,2013-07-03 10:10:06.000000,2021-04-30 16:41:00.000000,2021-04-30 16:40:52.000000,267,6.0,69.0,830,449.0,MiniSom is a minimalistic implementation of the Self Organizing Maps.,22.0,22,False,2021-04-24 17:22:39.000000,2.2.9,1.0,minisom,,,,,172.0,164.0,https://pypi.org/project/minisom,2021-04-24 17:21:29.000000,8.0,4717.0,4717.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n510,Explainability 360,Trusted-AI/AIX360,,interpretability,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48.000000,2021-05-02 10:43:29.000000,2021-05-02 10:43:29.000000,173,26.0,20.0,829,307.0,Interpretability and explainability of data and machine learning models.,27.0,22,True,2020-10-28 09:32:21.000000,0.2.1,4.0,aix360,,,,,17.0,16.0,https://pypi.org/project/aix360,2020-10-28 09:18:17.000000,1.0,1176.0,1176.0,,,,,,,,2.0,,,,,,,,,2.0,,,,,,,,,,,,,,\n511,Neural Structured Learning,tensorflow/neural-structured-learning,,tensorflow-utils,https://github.com/tensorflow/neural-structured-learning,https://github.com/tensorflow/neural-structured-learning,Apache-2.0,2019-08-27 21:48:16.000000,2021-05-12 02:02:44.000000,2021-05-12 02:02:41.000000,147,5.0,41.0,814,433.0,Training neural models with structured signals.,27.0,22,True,2020-08-18 00:35:35.000000,1.3.1,7.0,neural-structured-learning,,,,['tensorflow'],60.0,60.0,https://pypi.org/project/neural-structured-learning,2020-08-18 00:35:35.000000,0.0,6642.0,6642.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n512,Opacus,pytorch/opacus,,privacy-ml,https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000000,2021-05-13 13:14:53.000000,2021-05-13 07:26:00.000000,120,14.0,64.0,809,248.0,Training PyTorch models with differential privacy.,29.0,22,True,2021-03-10 19:25:01.000000,0.13.0,8.0,opacus,,,,['pytorch'],29.0,29.0,https://pypi.org/project/opacus,2021-03-10 19:25:01.000000,0.0,6570.0,6572.0,,,,,,,,2.0,32.0,,,,,,,,,,,,,,,,,,,,,,\n513,tf-explain,sicara/tf-explain,,interpretability,https://github.com/sicara/tf-explain,https://github.com/sicara/tf-explain,MIT,2019-07-15 08:26:24.000000,2021-04-19 12:18:12.000000,2021-04-19 12:18:11.000000,77,33.0,47.0,808,198.0,Interpretability Methods for tf.keras models with Tensorflow 2.x.,14.0,22,True,2021-02-16 18:59:38.000000,0.3.0,7.0,tf-explain,,,,['tensorflow'],74.0,72.0,https://pypi.org/project/tf-explain,2021-02-16 18:59:38.000000,2.0,1458.0,1458.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n514,stockstats,jealous/stockstats,,financial-data,https://github.com/jealous/stockstats,https://github.com/jealous/stockstats,BSD-3-Clause,2016-06-05 15:21:22.000000,2020-12-10 07:08:11.000000,2020-10-17 10:59:35.000000,215,29.0,31.0,779,23.0,Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.,7.0,22,True,2020-10-17 11:10:43.000000,0.3.2,14.0,stockstats,,,,,294.0,246.0,https://pypi.org/project/stockstats,2020-10-17 11:10:43.000000,48.0,42161.0,42161.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n515,Madmom,CPJKU/madmom,,audio,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06.000000,2021-05-06 10:13:17.000000,2019-12-19 14:46:37.000000,125,54.0,180.0,738,1722.0,Python audio and music signal processing library.,19.0,22,False,2018-11-14 14:57:41.000000,0.16.1,11.0,madmom,,,,,159.0,125.0,https://pypi.org/project/madmom,2018-11-14 14:56:22.000000,34.0,3228.0,3228.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n516,kapre,keunwoochoi/kapre,,audio,https://github.com/keunwoochoi/kapre,https://github.com/keunwoochoi/kapre,MIT,2016-12-14 18:36:36.000000,2021-03-25 21:02:49.000000,2021-03-25 21:02:44.000000,129,7.0,80.0,738,190.0,kapre: Keras Audio Preprocessors.,13.0,22,True,2021-03-18 22:14:02.000000,Kapre-0.3.5,21.0,kapre,,,,['tensorflow'],766.0,744.0,https://pypi.org/project/kapre,2020-09-29 18:49:13.000000,22.0,1960.0,1960.0,,,,,,,,3.0,11.0,,,,,,,,,,,,,,,,,,,,,,\n517,gmaps,pbugnion/gmaps,,geospatial-data,https://github.com/pbugnion/gmaps,https://github.com/pbugnion/gmaps,BSD-3-Clause,2014-12-01 09:12:06.000000,2020-10-13 07:09:18.000000,2019-07-22 06:22:45.000000,143,66.0,135.0,712,1380.0,Google maps for Jupyter notebooks.,16.0,22,False,2019-07-21 08:49:48.715000,0.9.0,94.0,gmaps,conda-forge/gmaps,,,['jupyter'],75.0,1.0,https://pypi.org/project/gmaps,2019-07-21 08:49:39.000000,74.0,9914.0,16563.0,https://anaconda.org/conda-forge/gmaps,2019-08-02 11:56:50.940000,223437.0,,,,,3.0,,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715000,,1995.0,,,,,,,,,,,,,,,,\n518,alibi-detect,SeldonIO/alibi-detect,,others,https://github.com/SeldonIO/alibi-detect,https://github.com/SeldonIO/alibi-detect,Apache-2.0,2019-10-07 13:29:13.000000,2021-05-13 14:06:02.000000,2021-05-12 16:49:45.000000,68,58.0,64.0,679,349.0,\"Algorithms for outlier and adversarial instance detection, concept drift and metrics.\",8.0,22,True,2021-05-06 12:39:19.000000,0.6.2,14.0,alibi-detect,,,,,23.0,22.0,https://pypi.org/project/alibi-detect,2021-05-06 12:37:36.000000,1.0,8217.0,8217.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n519,torch-scatter,rusty1s/pytorch_scatter,,pytorch-utils,https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23.000000,2021-05-12 10:53:16.000000,2021-05-12 10:53:13.000000,77,69.0,125.0,661,828.0,PyTorch Extension Library of Optimized Scatter Operations.,15.0,22,True,2021-03-03 06:21:28.000000,2.0.6,26.0,torch-scatter,,,,['pytorch'],32.0,,https://pypi.org/project/torch-scatter,2021-03-03 06:21:28.000000,32.0,21903.0,21903.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n520,TreeInterpreter,andosa/treeinterpreter,,interpretability,https://github.com/andosa/treeinterpreter,https://github.com/andosa/treeinterpreter,BSD-3-Clause,2015-08-02 20:26:21.000000,2021-02-28 18:33:06.000000,2021-02-28 18:33:06.000000,132,24.0,4.0,658,37.0,Package for interpreting scikit-learn's decision tree and random forest predictions.,11.0,22,True,2021-01-10 20:12:39.000000,0.2.3,5.0,treeinterpreter,,,,['sklearn'],154.0,136.0,https://pypi.org/project/treeinterpreter,2021-01-10 20:12:39.000000,18.0,175601.0,175601.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n521,Prince,MaxHalford/prince,,others,https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000000,2021-04-15 19:05:12.000000,2021-01-11 21:14:58.000000,120,29.0,65.0,635,179.0,\"Python factor analysis library (PCA, CA, MCA, MFA, FAMD).\",9.0,22,True,2020-10-06 11:26:47.000000,0.7.1,41.0,prince,,,,['sklearn'],122.0,116.0,https://pypi.org/project/prince,2020-10-06 11:26:47.000000,6.0,8502.0,8502.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n522,TensorBoard Logger,TeamHG-Memex/tensorboard_logger,,ml-experiments,https://github.com/TeamHG-Memex/tensorboard_logger,https://github.com/TeamHG-Memex/tensorboard_logger,MIT,2016-10-27 14:02:25.000000,2021-03-25 21:30:56.000000,2019-10-21 07:52:07.000000,52,9.0,15.0,611,46.0,Log TensorBoard events without touching TensorFlow.,5.0,22,False,2018-02-08 07:28:51.000000,0.1.0,5.0,tensorboard_logger,,,,,96.0,,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51.000000,96.0,62504.0,62504.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n523,Guild AI,guildai/guildai,,ml-experiments,https://github.com/guildai/guildai,https://github.com/guildai/guildai,Apache-2.0,2017-09-27 18:57:50.000000,2021-05-07 19:01:23.000000,2021-05-07 19:01:13.000000,41,102.0,167.0,579,4531.0,\"Experiment tracking, ML developer tools.\",16.0,22,True,2021-03-25 22:43:31.000000,0.7.3,170.0,guildai,,,,,28.0,28.0,https://pypi.org/project/guildai,2021-04-12 20:27:53.000000,,2441.0,2441.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n524,Mapbox GL,mapbox/mapboxgl-jupyter,,geospatial-data,https://github.com/mapbox/mapboxgl-jupyter,https://github.com/mapbox/mapboxgl-jupyter,MIT,2017-08-08 15:10:51.000000,2021-04-19 05:03:57.000000,2021-04-19 05:00:36.000000,121,35.0,67.0,566,221.0,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,21.0,22,True,2019-06-03 21:24:10.000000,0.10.2,20.0,mapboxgl,,,,['jupyter'],120.0,102.0,https://pypi.org/project/mapboxgl,2019-06-02 15:18:57.000000,18.0,7856.0,7856.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n525,pickleDB,patx/pickledb,,data-containers,https://github.com/patx/pickledb,https://github.com/patx/pickledb,BSD-3-Clause,2011-10-28 00:04:40.000000,2021-03-23 21:52:22.000000,2019-11-15 03:38:30.000000,99,22.0,39.0,562,105.0,pickleDB is an open source key-value store using Python's json module.,11.0,22,False,2019-01-14 18:48:25.000000,0.9.2,20.0,pickledb,,,,,699.0,587.0,https://pypi.org/project/pickledb,2019-01-14 18:48:25.000000,112.0,8399.0,8399.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n526,explainerdashboard,oegedijk/explainerdashboard,,interpretability,https://github.com/oegedijk/explainerdashboard,https://github.com/oegedijk/explainerdashboard,MIT,2019-10-30 08:26:16.000000,2021-05-10 14:01:33.000000,2021-05-10 14:01:25.000000,59,6.0,90.0,514,1193.0,Quickly build Explainable AI dashboards that show the inner workings of so-called blackbox machine learning models.,10.0,22,True,2021-05-07 11:11:58.000000,0.3.5,75.0,explainerdashboard,,,,,19.0,19.0,https://pypi.org/project/explainerdashboard,2021-05-07 11:11:58.000000,,4052.0,4052.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n527,tinytag,devsnd/tinytag,,audio,https://github.com/devsnd/tinytag,https://github.com/devsnd/tinytag,MIT,2014-01-27 15:27:01.000000,2021-05-08 13:28:24.000000,2021-03-28 14:27:32.000000,82,16.0,64.0,454,313.0,\"Read music meta data and length of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA and Wave files with python 2 or 3.\",18.0,22,True,2020-11-05 12:44:52.000000,1.5.0,33.0,tinytag,,,,,454.0,358.0,https://pypi.org/project/tinytag,2020-11-05 12:44:52.000000,96.0,5503.0,5503.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n528,random-forest-importances,parrt/random-forest-importances,,interpretability,https://github.com/parrt/random-forest-importances,https://github.com/parrt/random-forest-importances,MIT,2018-03-22 19:20:13.000000,2021-01-30 21:50:08.000000,2021-01-30 21:50:02.000000,96,4.0,27.0,438,249.0,Code to compute permutation and drop-column importances in Python scikit-learn models.,14.0,22,True,2021-01-28 23:23:17.000000,1.3.7,22.0,rfpimp,,,,['sklearn'],74.0,70.0,https://pypi.org/project/rfpimp,2021-01-28 23:19:33.000000,4.0,20763.0,20763.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n529,SDV,sdv-dev/SDV,,data-loading,https://github.com/sdv-dev/SDV,https://github.com/sdv-dev/SDV,MIT,2018-05-11 15:56:50.000000,2021-05-12 23:11:24.000000,2021-05-11 15:05:16.000000,73,75.0,178.0,411,830.0,\"Synthetic Data Generation for tabular, relational and time series data.\",34.0,22,True,2021-04-29 21:10:33.000000,0.9.1,47.0,sdv,,,,,22.0,22.0,https://pypi.org/project/sdv,2021-04-29 20:46:37.000000,0.0,5097.0,5097.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n530,PyTorch Sparse,rusty1s/pytorch_sparse,,pytorch-utils,https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53.000000,2021-05-12 12:25:33.000000,2021-05-12 12:25:30.000000,52,47.0,60.0,403,537.0,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,15.0,22,True,2021-03-03 15:26:45.000000,0.6.9,21.0,torch-sparse,,,,['pytorch'],34.0,,https://pypi.org/project/torch-sparse,2020-11-02 10:43:20.000000,34.0,13698.0,13698.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n531,lazypredict,shankarpandala/lazypredict,,hyperopt,https://github.com/shankarpandala/lazypredict,https://github.com/shankarpandala/lazypredict,MIT,2019-11-16 09:56:35.000000,2021-05-07 18:54:26.000000,2021-04-10 02:37:59.000000,84,17.0,30.0,378,195.0,Lazy Predict help build a lot of basic models without much code and helps understand which models works better without..,12.0,22,True,2021-02-17 15:38:45.000000,0.2.9,11.0,lazypredict,,,,['sklearn'],70.0,70.0,https://pypi.org/project/lazypredict,2021-02-17 15:38:45.000000,,4900.0,4900.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n532,torch-cluster,rusty1s/pytorch_cluster,,graph,https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06.000000,2021-05-12 12:25:43.000000,2021-05-12 12:25:40.000000,72,39.0,40.0,373,523.0,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,18.0,22,True,2021-03-01 13:58:47.000000,1.5.9,39.0,torch-cluster,,,,['pytorch'],32.0,,https://pypi.org/project/torch-cluster,2021-03-01 12:28:43.000000,32.0,9323.0,9323.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n533,Studio.ml,studioml/studio,,ml-experiments,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28.000000,2021-05-11 21:20:47.000000,2021-05-11 21:18:08.000000,52,56.0,192.0,372,2368.0,Studio: Simplify and expedite model building process.,21.0,22,True,2021-05-02 15:06:17.000000,0.0.44,200.0,studioml,,,,,4.0,4.0,https://pypi.org/project/studioml,2021-05-11 21:20:47.000000,,1809.0,1809.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n534,joypy,sbebo/joypy,,data-viz,https://github.com/sbebo/joypy,https://github.com/sbebo/joypy,MIT,2017-07-30 17:18:50.000000,2021-04-02 15:12:19.000000,2021-04-02 15:10:14.000000,35,5.0,36.0,330,110.0,Joyplots in Python with matplotlib & pandas.,5.0,22,True,2020-12-28 11:54:36.000000,0.2.4,16.0,joypy,conda-forge/joypy,,,,80.0,74.0,https://pypi.org/project/joypy,2020-12-28 11:54:36.000000,6.0,19224.0,19583.0,https://anaconda.org/conda-forge/joypy,2020-12-28 14:07:53.760000,9358.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n535,scikit-rebate,EpistasisLab/scikit-rebate,,others,https://github.com/EpistasisLab/scikit-rebate,https://github.com/EpistasisLab/scikit-rebate,MIT,2016-09-19 13:36:17.000000,2021-03-20 17:11:52.000000,2021-02-15 17:10:59.000000,58,13.0,19.0,317,283.0,\"A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for..\",13.0,22,True,2017-04-12 16:12:01.000000,0.3.4,13.0,skrebate,,,,['sklearn'],194.0,132.0,https://pypi.org/project/skrebate,2021-03-20 17:11:52.000000,62.0,2219.0,2219.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n536,vega,vega/ipyvega,,data-viz,https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000000,2021-05-03 21:49:28.000000,2021-05-03 21:49:18.000000,44,8.0,79.0,301,500.0,IPython/Jupyter notebook module for Vega and Vega-Lite.,10.0,22,True,2020-05-15 23:40:02.000000,3.4.0,37.0,vega,conda-forge/vega,,,['jupyter'],148.0,,https://pypi.org/project/vega,2020-05-15 23:40:02.000000,148.0,21179.0,28242.0,https://anaconda.org/conda-forge/vega,2020-12-10 15:03:57.175000,416744.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n537,py3nvml,fbcotter/py3nvml,,gpu-utilities,https://github.com/fbcotter/py3nvml,https://github.com/fbcotter/py3nvml,BSD-3-Clause,2016-11-21 01:07:37.000000,2020-10-10 10:41:08.987000,2020-04-23 06:54:42.000000,24,1.0,10.0,175,79.0,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,6.0,22,False,2020-04-06 16:02:10.000000,0.2.6,13.0,py3nvml,conda-forge/py3nvml,,,,289.0,269.0,https://pypi.org/project/py3nvml,2020-04-06 16:02:10.000000,20.0,85096.0,86136.0,https://anaconda.org/conda-forge/py3nvml,2020-10-10 10:41:08.987000,16655.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n538,stop-words,Alir3z4/python-stop-words,,nlp,https://github.com/Alir3z4/python-stop-words,https://github.com/Alir3z4/python-stop-words,BSD-3-Clause,2014-05-26 06:44:03.000000,2019-10-16 15:01:43.000000,2018-07-23 21:04:09.000000,23,3.0,9.0,124,90.0,Get list of common stop words in various languages in Python.,8.0,22,False,2018-07-23 20:58:34.000000,2018.7.23,8.0,stop-words,,,,,1454.0,1196.0,https://pypi.org/project/stop-words,2018-07-23 20:55:55.000000,258.0,84962.0,84962.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n539,pyexcel-xlsx,pyexcel/pyexcel-xlsx,,data-loading,https://github.com/pyexcel/pyexcel-xlsx,https://github.com/pyexcel/pyexcel-xlsx,BSD-3-Clause,2014-12-02 00:03:24.000000,2020-11-28 22:30:58.000000,2020-11-28 22:30:53.000000,16,12.0,20.0,88,267.0,\"A wrapper library to read, manipulate and write data in xlsx and xlsm format using openpyxl.\",4.0,22,False,2020-10-10 13:13:32.000000,0.6.0,30.0,pyexcel-xlsx,conda-forge/pyexcel-xlsx,,,,1506.0,1196.0,https://pypi.org/project/pyexcel-xlsx,2020-10-10 13:13:32.000000,310.0,85680.0,86058.0,https://anaconda.org/conda-forge/pyexcel-xlsx,2020-10-10 15:53:49.660000,16272.0,,,,,3.0,46.0,,,,,,,,,,,,,,,,,,,,,,\n540,PyStan,stan-dev/pystan,,probabilistics,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,ISC,2017-03-06 19:56:42.094000,2021-05-12 13:39:30.313000,2021-05-05 11:56:38.000000,17,11.0,122.0,71,,\"PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io.\",7.0,22,False,2021-05-03 11:34:34.000000,3.1.0,63.0,pystan,conda-forge/pystan,,,,342.0,,https://pypi.org/project/pystan,2021-05-05 12:12:07.000000,342.0,1171951.0,1191664.0,https://anaconda.org/conda-forge/pystan,2021-05-12 13:39:30.313000,985659.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n541,openpyxl,,,data-loading,,https://openpyxl.readthedocs.io,MIT,2015-11-03 00:22:17.154000,2021-03-13 16:57:07.865000,,0,203.0,1476.0,19,,A Python library to read/write Excel 2010 xlsx/xlsm files.,,22,False,2021-03-10 19:38:02.000000,3.0.7,97.0,openpyxl,openpyxl,openpyxl/openpyxl-ci,https://openpyxl.readthedocs.io/en/stable/,,9770.0,,https://pypi.org/project/openpyxl,2021-03-09 19:13:10.000000,9770.0,11765389.0,11766149.0,https://anaconda.org/anaconda/openpyxl,2021-03-13 16:57:07.865000,49062.0,https://hub.docker.com/r/openpyxl/openpyxl-ci,2018-09-13 18:04:17.646261,,1183.0,3.0,,,,,,,,0.0,,,,,,,,,,,,,https://foss.heptapod.net/api/graphql::openpyxl/openpyxl,https://foss.heptapod.net/openpyxl/openpyxl,\n542,Dejavu,worldveil/dejavu,,audio,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35.000000,2020-10-29 17:40:17.000000,2020-06-03 05:58:03.000000,1250,84.0,129.0,5419,146.0,Audio fingerprinting and recognition in Python.,23.0,21,True,2015-04-19 21:20:16.000000,0.1.3,4.0,PyDejavu,,,,,21.0,18.0,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16.000000,3.0,176.0,176.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n543,Qlib,microsoft/qlib,,financial-data,https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000000,2021-05-13 08:38:22.000000,2021-05-13 08:38:22.000000,792,115.0,102.0,4929,,\"Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research,..\",39.0,21,True,2021-02-02 09:29:47.000000,0.6.2,16.0,pyqlib,,,,['pytorch'],3.0,3.0,https://pypi.org/project/pyqlib,2021-02-02 09:29:47.000000,,3952.0,3980.0,,,,,,,,3.0,229.0,,,,,,,,,,,,,,,,,,,,,,\n544,MMF,facebookresearch/mmf,,image,https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40.000000,2021-05-12 22:34:28.000000,2021-05-12 22:34:25.000000,655,114.0,379.0,4382,877.0,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,63.0,21,True,2019-08-26 19:04:21.000000,0.3.1,12.0,mmf,,,,['pytorch'],7.0,7.0,https://pypi.org/project/mmf,2020-06-12 22:15:02.000000,0.0,435.0,435.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n545,mace,XiaoMi/mace,,ml-frameworks,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12.000000,2021-05-11 07:22:42.000000,2021-05-11 07:22:42.000000,758,42.0,600.0,4371,3165.0,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,60.0,21,True,2021-03-18 10:07:32.000000,1.0.4,11.0,,,,,,,,,,,,40.0,,,,,,,,3.0,1348.0,,,,,,,,,,,,,,,,,,,,,,\n546,vit-pytorch,lucidrains/vit-pytorch,,image,https://github.com/lucidrains/vit-pytorch,https://github.com/lucidrains/vit-pytorch,MIT,2020-10-03 22:47:24.000000,2021-05-10 18:38:20.000000,2021-05-10 18:37:23.000000,479,44.0,59.0,4172,,\"Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single..\",7.0,21,True,2021-05-10 18:38:20.000000,0.18.3,75.0,vit-pytorch,,,,['pytorch'],17.0,17.0,https://pypi.org/project/vit-pytorch,2021-05-10 18:38:20.000000,,3711.0,3711.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n547,TRFL,deepmind/trfl,,reinforcement-learning,https://github.com/deepmind/trfl,https://github.com/deepmind/trfl,Apache-2.0,2018-08-08 14:44:11.000000,2020-11-06 04:44:44.000000,2020-04-20 13:05:56.000000,372,6.0,16.0,3064,116.0,TensorFlow Reinforcement Learning.,12.0,21,False,2020-04-20 14:11:57.000000,1.1.0,4.0,trfl,,,,['tensorflow'],49.0,47.0,https://pypi.org/project/trfl,2020-04-20 14:11:57.000000,2.0,1598.0,1598.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n548,Hummingbird,microsoft/hummingbird,,model-serialisation,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000000,2021-05-05 16:47:07.000000,2021-04-29 16:13:44.000000,174,53.0,157.0,2406,,Hummingbird compiles trained ML models into tensor computation for faster inference.,20.0,21,True,2021-04-24 17:19:04.000000,0.3.1,12.0,hummingbird-ml,,,,,15.0,15.0,https://pypi.org/project/hummingbird-ml,2021-04-13 00:20:31.000000,,2819.0,2827.0,,,,,,,,3.0,107.0,,,,,,,,,,,,,,,,,,,,,,\n549,Luminoth,tryolabs/luminoth,,image,https://github.com/tryolabs/luminoth,https://github.com/tryolabs/luminoth,BSD-3-Clause,2017-02-16 15:07:46.000000,2020-12-24 21:01:24.000000,2020-01-07 20:53:25.000000,404,50.0,127.0,2367,838.0,Deep Learning toolkit for Computer Vision.,15.0,21,False,2018-11-09 21:35:17.000000,0.2.3,10.0,luminoth,,,,['tensorflow'],32.0,30.0,https://pypi.org/project/luminoth,2018-11-09 21:35:17.000000,2.0,883.0,1148.0,,,,,,,,3.0,11434.0,,,,,,,,,,,,,,,,,,,,,,\n550,DeepVariant,google/deepvariant,,medical-data,https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000000,2021-04-30 21:23:18.277000,2021-03-31 18:23:13.000000,548,3.0,409.0,2263,1503.0,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,19.0,21,True,2020-12-07 17:56:31.000000,1.1.0,15.0,,bioconda/deepvariant,,,['tensorflow'],,,,,,,817.0,https://anaconda.org/bioconda/deepvariant,2021-04-30 21:23:18.277000,29477.0,,,,,3.0,3331.0,,,,,,,,,,,,,,,,,,,,,,\n551,Mars,mars-project/mars,,others,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03.000000,2021-05-13 15:24:03.000000,2021-05-11 09:32:11.000000,249,122.0,683.0,2115,789.0,\"Mars is a tensor-based unified framework for large-scale data computation which scales Numpy, pandas, Scikit-learn and..\",19.0,21,True,2021-04-11 08:20:27.000000,0.6.8,81.0,pymars,,,,,5.0,5.0,https://pypi.org/project/pymars,2021-04-11 08:41:06.000000,0.0,922.0,922.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n552,knockknock,huggingface/knockknock,,ml-experiments,https://github.com/huggingface/knockknock,https://github.com/huggingface/knockknock,MIT,2019-03-20 13:08:55.000000,2021-01-09 06:11:00.000000,2020-03-16 04:26:47.000000,164,12.0,21.0,2088,75.0,Knock Knock: Get notified when your training ends with only two additional lines of code.,18.0,21,False,2020-03-04 04:15:47.000000,0.1.8,10.0,knockknock,conda-forge/knockknock,,,,166.0,163.0,https://pypi.org/project/knockknock,2020-03-16 14:30:23.000000,3.0,3824.0,4163.0,https://anaconda.org/conda-forge/knockknock,2020-03-17 01:52:16.317000,6458.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n553,PARL,PaddlePaddle/PARL,,reinforcement-learning,https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22.000000,2021-05-13 06:15:58.000000,2021-04-29 06:18:18.000000,471,49.0,170.0,1982,1.0,A high-performance distributed training framework for Reinforcement Learning.,23.0,21,True,2021-03-10 06:55:54.000000,1.4.3,18.0,parl,,,,['paddle'],72.0,72.0,https://pypi.org/project/parl,2021-03-10 06:55:54.000000,,611.0,611.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n554,cleanlab,cgnorthcutt/cleanlab,,others,https://github.com/cgnorthcutt/cleanlab,https://github.com/cgnorthcutt/cleanlab,GPL-3.0,2018-05-11 01:55:21.000000,2021-05-05 17:40:49.000000,2021-05-05 17:40:45.000000,184,19.0,42.0,1904,791.0,The standard package for machine learning with noisy labels and finding mislabeled data. Works with most datasets and..,6.0,21,False,2021-04-18 19:52:49.000000,1.0,15.0,cleanlab,,,,,13.0,13.0,https://pypi.org/project/cleanlab,2020-02-17 07:33:06.000000,,4408.0,4408.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n555,STUMPY,TDAmeritrade/stumpy,,time-series-data,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000000,2021-05-09 23:47:40.000000,2021-05-09 23:47:01.000000,166,26.0,204.0,1781,,\"STUMPY is a powerful and scalable Python library for computing a Matrix Profile, which can be used for a variety of..\",21.0,21,True,2021-02-04 19:05:43.000000,1.8.0,19.0,stumpy,conda-forge/stumpy,,,,0.0,,https://pypi.org/project/stumpy,2021-02-04 19:05:43.000000,0.0,39392.0,40268.0,https://anaconda.org/conda-forge/stumpy,2021-02-05 23:28:08.904000,21043.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n556,Sweetviz,fbdesignpro/sweetviz,,data-viz,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47.000000,2021-04-01 18:44:48.000000,2021-04-01 18:44:46.000000,164,23.0,55.0,1561,95.0,\"Visualize and compare datasets, target values and associations, with one line of code.\",6.0,21,True,2021-04-01 18:29:24.000000,2.1.0,28.0,sweetviz,,,,,0.0,,https://pypi.org/project/sweetviz,2021-04-01 18:29:24.000000,0.0,29482.0,29482.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n557,reformer-pytorch,lucidrains/reformer-pytorch,,pytorch-utils,https://github.com/lucidrains/reformer-pytorch,https://github.com/lucidrains/reformer-pytorch,MIT,2020-01-09 20:42:37.000000,2021-05-09 14:50:10.000000,2021-05-09 14:49:27.000000,196,9.0,100.0,1482,243.0,\"Reformer, the efficient Transformer, in Pytorch.\",10.0,21,True,2021-05-09 14:49:45.000000,1.4.2,137.0,reformer-pytorch,,,,['pytorch'],,,https://pypi.org/project/reformer-pytorch,2021-05-09 14:50:10.000000,,1147.0,1147.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n558,TensorFlow Privacy,tensorflow/privacy,,privacy-ml,https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000000,2021-05-11 07:19:59.000000,2021-05-07 21:15:07.000000,291,55.0,79.0,1399,458.0,Library for training machine learning models with privacy for training data.,36.0,21,True,2020-09-03 01:13:47.000000,.0.5.1,10.0,tensorflow-privacy,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow-privacy,2021-04-13 19:14:58.000000,2.0,11263.0,11265.0,,,,,,,,2.0,42.0,,,,,,,,,,,,,,,,,,,,,,\n559,datatable,h2oai/datatable,,data-containers,https://github.com/h2oai/datatable,https://github.com/h2oai/datatable,MPL-2.0,2017-03-03 02:32:59.000000,2021-05-13 07:12:35.000000,2021-05-11 19:29:15.000000,104,127.0,1136.0,1206,,A Python package for manipulating 2-dimensional tabular data structures.,28.0,21,True,2020-12-10 09:10:50.000000,0.11.1,15.0,datatable,,,,,6.0,,https://pypi.org/project/datatable,2020-12-10 08:04:03.000000,6.0,24697.0,24718.0,,,,,,,,3.0,987.0,,,,,,,,,,,,,,,,,,,,,,\n560,tensorrec,jfkirk/tensorrec,,recommender-systems,https://github.com/jfkirk/tensorrec,https://github.com/jfkirk/tensorrec,Apache-2.0,2017-02-28 18:51:11.000000,2021-03-18 20:46:02.000000,2020-02-04 21:10:25.000000,212,33.0,90.0,1145,334.0,A TensorFlow recommendation algorithm and framework in Python.,8.0,21,False,2019-04-02 00:53:47.000000,0.26.2,30.0,tensorrec,,,,['tensorflow'],28.0,25.0,https://pypi.org/project/tensorrec,2019-04-02 00:53:47.000000,3.0,1001.0,1001.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n561,Haiku,deepmind/dm-haiku,,ml-frameworks,https://github.com/deepmind/dm-haiku,https://github.com/deepmind/dm-haiku,Apache-2.0,2020-02-18 07:14:02.000000,2021-05-12 10:52:20.000000,2021-05-12 10:52:12.000000,77,20.0,62.0,1104,541.0,JAX-based neural network library.,41.0,21,True,2021-04-12 13:12:13.000000,0.0.4,6.0,,,,,,86.0,86.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n562,CausalNex,quantumblacklabs/causalnex,,interpretability,https://github.com/quantumblacklabs/causalnex,https://github.com/quantumblacklabs/causalnex,Apache-2.0,2019-12-12 15:26:09.000000,2021-05-11 18:43:42.000000,2021-05-11 18:43:42.000000,117,33.0,43.0,1100,117.0,A Python library that helps data scientists to infer causation rather than observing correlation.,18.0,21,True,2021-05-11 18:35:56.000000,0.10.0,15.0,causalnex,,,,\"['pytorch', 'sklearn']\",12.0,12.0,https://pypi.org/project/causalnex,2021-05-11 18:35:56.000000,,3594.0,3594.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n563,TabNet,dreamquark-ai/tabnet,,pytorch-utils,https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000000,2021-05-13 12:05:13.000000,2021-05-05 10:06:29.000000,194,35.0,112.0,1002,168.0,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,18.0,21,True,2021-02-02 08:05:11.000000,3.1.1,17.0,pytorch-tabnet,,,,['pytorch'],0.0,,https://pypi.org/project/pytorch-tabnet,2021-02-02 08:05:11.000000,0.0,12881.0,12881.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n564,RecBole,RUCAIBox/RecBole,,recommender-systems,https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000000,2021-05-12 10:51:23.000000,2021-05-07 11:46:30.000000,153,28.0,91.0,953,2987.0,\"A unified, comprehensive and efficient recommendation library.\",39.0,21,True,2021-04-06 09:53:37.000000,0.2.1,5.0,recbole,aibox/recbole,,,['pytorch'],,,https://pypi.org/project/recbole,2021-03-22 14:22:38.000000,,576.0,642.0,https://anaconda.org/aibox/recbole,2021-03-22 14:53:52.593000,397.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n565,fastFM,ibayer/fastFM,,recommender-systems,https://github.com/ibayer/fastFM,https://github.com/ibayer/fastFM,BSD-3-Clause,2014-10-27 12:25:51.000000,2021-03-24 12:22:31.000000,2021-03-24 12:22:31.000000,187,44.0,59.0,921,297.0,fastFM: A Library for Factorization Machines.,20.0,21,True,2017-11-23 06:59:56.000000,0.2.11,10.0,fastfm,,,,,89.0,81.0,https://pypi.org/project/fastfm,2017-11-23 06:59:56.000000,8.0,836.0,841.0,,,,,,,,3.0,387.0,,,,,,,,,,,,,,,,,,,,,,\n566,luminol,linkedin/luminol,,time-series-data,https://github.com/linkedin/luminol,https://github.com/linkedin/luminol,Apache-2.0,2015-11-18 23:16:33.000000,2020-12-27 09:54:35.000000,2018-01-09 07:46:55.000000,187,31.0,12.0,919,69.0,Anomaly Detection and Correlation library.,8.0,21,False,2016-01-20 01:01:44.000000,0.3.1,5.0,luminol,,,,,66.0,38.0,https://pypi.org/project/luminol,2017-12-11 06:04:15.000000,28.0,41078.0,41078.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n567,TFEncrypted,tf-encrypted/tf-encrypted,,privacy-ml,https://github.com/tf-encrypted/tf-encrypted,https://github.com/tf-encrypted/tf-encrypted,Apache-2.0,2018-03-21 18:22:13.000000,2021-04-21 08:39:31.000000,2020-08-19 16:56:56.000000,143,167.0,231.0,863,595.0,A Framework for Encrypted Machine Learning in TensorFlow.,28.0,21,True,2019-09-27 20:00:01.000000,0.5.9,35.0,tf-encrypted,,,,['tensorflow'],68.0,52.0,https://pypi.org/project/tf-encrypted,2019-10-21 18:05:53.000000,16.0,799.0,799.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,\n568,TF Recommenders,tensorflow/recommenders,,recommender-systems,https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01.000000,2021-05-12 18:38:52.000000,2021-05-12 18:38:43.000000,100,62.0,69.0,819,,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,21.0,21,True,2021-05-07 17:54:59.000000,0.5.0,9.0,tensorflow-recommenders,,,,['tensorflow'],21.0,21.0,https://pypi.org/project/tensorflow-recommenders,2021-05-07 17:54:59.000000,,33995.0,33995.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n569,lightly,lightly-ai/lightly,,image,https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000000,2021-05-13 15:28:03.000000,2021-05-07 07:51:24.000000,49,40.0,122.0,815,438.0,A python library for self-supervised learning on images.,10.0,21,True,2021-05-07 08:29:25.000000,1.1.8,20.0,lightly,,,,['pytorch'],12.0,12.0,https://pypi.org/project/lightly,2021-05-07 08:29:25.000000,0.0,3252.0,3252.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n570,iNNvestigate,albermax/innvestigate,,interpretability,https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20.000000,2021-05-12 12:32:06.000000,2020-10-16 15:26:56.000000,181,74.0,135.0,808,882.0,A toolbox to iNNvestigate neural networks' predictions!.,18.0,21,True,2020-11-14 11:35:59.000000,1.0.9,2.0,innvestigate,,,,['tensorflow'],58.0,57.0,https://pypi.org/project/innvestigate,2020-11-14 11:35:59.000000,1.0,412.0,412.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n571,rows,turicas/rows,,data-loading,https://github.com/turicas/rows,https://github.com/turicas/rows,LGPL-3.0,2014-05-07 05:43:11.000000,2021-03-11 16:51:43.000000,2021-03-11 16:51:28.000000,136,160.0,149.0,748,738.0,\"A common, beautiful interface to tabular data, no matter the format.\",30.0,21,False,2019-02-14 21:20:15.000000,0.4.1,9.0,rows,,,,,172.0,120.0,https://pypi.org/project/rows,2019-02-14 21:12:03.000000,52.0,1871.0,1871.0,,,,,,,,3.0,37.0,,,,,,,,,,,,,,,,,,,,,,\n572,Satpy,pytroll/satpy,,geospatial-data,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000000,2021-05-13 14:24:19.000000,2021-05-11 12:28:57.000000,196,312.0,329.0,699,,Python package for earth-observing satellite data processing.,107.0,21,False,2021-03-26 08:31:14.000000,0.27.0,65.0,satpy,conda-forge/satpy,,,,47.0,41.0,https://pypi.org/project/satpy,2021-03-26 08:31:14.000000,6.0,1684.0,3495.0,https://anaconda.org/conda-forge/satpy,2021-03-26 11:35:33.340000,61594.0,,,,,3.0,,,,,,,,,-4.0,,,,,,,,,,,,,,\n573,mlens,flennerhag/mlens,,others,https://github.com/flennerhag/mlens,https://github.com/flennerhag/mlens,MIT,2017-01-10 20:53:47.000000,2020-02-25 14:32:48.000000,2020-02-25 14:31:53.000000,89,8.0,73.0,686,879.0,ML-Ensemble high performance ensemble learning.,7.0,21,False,2018-10-30 22:34:35.000000,0.2.3,14.0,mlens,,,,,129.0,126.0,https://pypi.org/project/mlens,2018-10-30 22:30:43.000000,3.0,29794.0,29794.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n574,Sentinelsat,sentinelsat/sentinelsat,,geospatial-data,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26.000000,2021-05-10 07:46:27.000000,2021-05-10 07:46:27.000000,181,42.0,241.0,606,,Search and download Copernicus Sentinel satellite images.,37.0,21,False,2020-06-12 07:15:51.000000,0.14,36.0,sentinelsat,,,,,233.0,189.0,https://pypi.org/project/sentinelsat,2020-06-12 07:08:37.000000,44.0,20768.0,20771.0,,,,,,,,3.0,200.0,,,,,,,,,,,,,,,,,,,,,,\n575,Torchbearer,pytorchbearer/torchbearer,,ml-frameworks,https://github.com/pytorchbearer/torchbearer,https://github.com/pytorchbearer/torchbearer,MIT,2018-03-12 16:30:42.000000,2021-03-26 19:56:57.000000,2021-03-26 19:56:57.000000,64,8.0,237.0,596,430.0,torchbearer: A model fitting library for PyTorch.,13.0,21,True,2020-01-31 14:07:22.000000,0.5.3,24.0,torchbearer,,,,['pytorch'],52.0,46.0,https://pypi.org/project/torchbearer,2020-01-31 14:05:56.000000,6.0,3502.0,3502.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n576,Caer,jasmcaus/caer,,image,https://github.com/jasmcaus/caer,https://github.com/jasmcaus/caer,MIT,2020-08-06 18:36:14.000000,2021-05-12 19:10:31.000000,2021-05-12 19:10:31.000000,62,5.0,9.0,488,4919.0,\"A lightweight Computer Vision library. Scale your models, not boilerplate.\",6.0,21,True,2021-01-28 14:06:10.000000,1.9.8,109.0,caer,,,https://caer.rtfd.io,,0.0,,https://pypi.org/project/caer,2021-01-28 14:06:10.000000,0.0,19420.0,19421.0,,,,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,,,,,\n577,Neuraxle,Neuraxio/Neuraxle,,hyperopt,https://github.com/Neuraxio/Neuraxle,https://github.com/Neuraxio/Neuraxle,Apache-2.0,2019-03-26 21:01:54.000000,2021-05-06 18:29:45.000000,2021-05-05 16:23:53.000000,43,130.0,156.0,412,1498.0,A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right..,7.0,21,True,2021-02-25 16:05:06.000000,0.5.7,20.0,neuraxle,,,,,18.0,18.0,https://pypi.org/project/neuraxle,2021-02-25 16:00:44.000000,0.0,411.0,411.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n578,skope-rules,scikit-learn-contrib/skope-rules,,sklearn-utils,https://github.com/scikit-learn-contrib/skope-rules,https://github.com/scikit-learn-contrib/skope-rules,BSD-1-Clause,2018-02-18 13:42:47.000000,2021-05-12 08:25:18.000000,2020-10-23 14:31:57.000000,63,23.0,5.0,387,247.0,machine learning with logical rules in Python.,18.0,21,False,2020-12-11 09:37:02.000000,1.0.1,4.0,skope-rules,,,,['sklearn'],37.0,31.0,https://pypi.org/project/skope-rules,2020-01-25 12:01:37.000000,6.0,16147.0,16147.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n579,aequitas,dssg/aequitas,,interpretability,https://github.com/dssg/aequitas,https://github.com/dssg/aequitas,MIT,2018-02-13 19:40:30.000000,2021-03-19 10:35:14.000000,2021-02-23 13:51:06.000000,72,35.0,21.0,378,856.0,Bias and Fairness Audit Toolkit.,16.0,21,True,2020-12-16 11:48:14.000000,0.42.0,16.0,aequitas,,,,,80.0,74.0,https://pypi.org/project/aequitas,2020-12-16 11:48:14.000000,6.0,1021.0,1021.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n580,Submit it,facebookincubator/submitit,,distributed-ml,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09.000000,2021-05-12 08:39:52.000000,2021-05-12 08:39:52.000000,24,16.0,23.0,374,61.0,Python 3.6+ toolbox for submitting jobs to Slurm.,13.0,21,True,2021-04-08 08:01:58.000000,1.3.2,13.0,submitit,conda-forge/submitit,,,,132.0,132.0,https://pypi.org/project/submitit,2021-04-08 08:01:58.000000,0.0,4560.0,4847.0,https://anaconda.org/conda-forge/submitit,2021-02-10 12:48:57.745000,2584.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n581,optunity,claesenm/optunity,,hyperopt,https://github.com/claesenm/optunity,https://github.com/claesenm/optunity,BSD-3-Clause,2014-05-28 17:29:11.000000,2020-05-11 14:32:39.000000,2020-05-11 14:32:38.000000,73,46.0,48.0,369,782.0,optimization routines for hyperparameter tuning.,9.0,21,True,2015-09-30 05:02:00.000000,1.1.1,6.0,optunity,,,,,84.0,60.0,https://pypi.org/project/optunity,2015-09-30 05:02:00.000000,24.0,15155.0,15155.0,,,,,,,,3.0,64.0,,,,,,,,,,,,,,,,,,,,,,\n582,Pandas Summary,mouradmourafiq/pandas-summary,,data-containers,https://github.com/mouradmourafiq/pandas-summary,https://github.com/mouradmourafiq/pandas-summary,MIT,2016-03-25 21:59:32.000000,2019-08-24 21:10:25.000000,2019-08-24 21:10:24.000000,35,8.0,5.0,364,24.0,An extension to pandas dataframes describe function.,6.0,21,False,2016-08-30 07:54:59.000000,0.0.41,8.0,pandas-summary,,,,['pandas'],697.0,607.0,https://pypi.org/project/pandas-summary,2016-08-30 07:54:59.000000,90.0,29902.0,29902.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n583,DESlib,scikit-learn-contrib/DESlib,,sklearn-utils,https://github.com/scikit-learn-contrib/DESlib,https://github.com/scikit-learn-contrib/DESlib,BSD-3-Clause,2017-12-08 22:49:49.000000,2021-04-09 04:41:52.000000,2021-04-09 04:41:45.000000,73,14.0,127.0,332,272.0,A Python library for dynamic classifier and ensemble selection.,13.0,21,True,2021-02-08 06:29:25.000000,0.3.5,4.0,deslib,,,,['sklearn'],18.0,18.0,https://pypi.org/project/deslib,2021-02-08 06:29:25.000000,0.0,2189.0,2189.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n584,ploomber,ploomber/ploomber,,data-pipelines,https://github.com/ploomber/ploomber,https://github.com/ploomber/ploomber,Apache-2.0,2020-01-20 20:13:06.000000,2021-05-11 03:36:35.000000,2021-05-10 03:33:18.000000,4,42.0,252.0,281,1761.0,\"Lean Data Science workflows: develop and test locally. Deploy to Kubernetes, Airflow, or any web framework.\",4.0,21,True,2021-04-18 00:46:19.000000,0.10.1,41.0,ploomber,,,,,13.0,13.0,https://pypi.org/project/ploomber,2021-05-06 00:35:38.000000,0.0,2675.0,2675.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n585,SUOD,yzhao062/SUOD,,others,https://github.com/yzhao062/SUOD,https://github.com/yzhao062/SUOD,BSD-2-Clause,2019-11-20 00:23:54.000000,2021-01-19 14:42:08.000000,2021-01-19 14:42:01.000000,30,3.0,2.0,262,134.0,(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection).,1.0,21,True,2021-01-15 02:12:04.000000,0.0.6,7.0,suod,,,,,319.0,319.0,https://pypi.org/project/suod,2021-01-15 02:12:04.000000,,15987.0,15987.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n586,Auto ViML,AutoViML/Auto_ViML,,hyperopt,https://github.com/AutoViML/Auto_ViML,https://github.com/AutoViML/Auto_ViML,Apache-2.0,2019-06-10 13:09:15.000000,2021-05-07 15:02:46.000000,2021-05-07 15:01:00.000000,54,4.0,14.0,248,290.0,Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome...,6.0,21,True,2021-03-21 12:25:19.000000,0.1.680,130.0,autoviml,,,,,13.0,13.0,https://pypi.org/project/autoviml,2021-04-15 00:54:35.000000,0.0,1299.0,1299.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n587,quinn,MrPowers/quinn,,ml-experiments,https://github.com/MrPowers/quinn,https://github.com/MrPowers/quinn,Apache-2.0,2017-09-15 13:02:42.000000,2021-03-27 14:31:44.000000,2021-02-09 04:48:07.000000,28,17.0,9.0,248,110.0,pyspark methods to enhance developer productivity.,6.0,21,True,2021-02-06 15:21:04.000000,0.9.0,12.0,quinn,,,,['spark'],6.0,,https://pypi.org/project/quinn,2021-02-06 15:21:04.000000,6.0,237906.0,237906.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n588,datatest,shawnbrown/datatest,,data-loading,https://github.com/shawnbrown/datatest,https://github.com/shawnbrown/datatest,Apache-2.0,2016-05-12 13:16:27.000000,2021-04-26 17:46:21.000000,2021-04-26 17:45:53.000000,12,9.0,42.0,240,2171.0,Tools for test driven data-wrangling and data validation.,6.0,21,True,2021-01-04 03:43:58.000000,0.11.1,17.0,datatest,,,,,35.0,33.0,https://pypi.org/project/datatest,2021-01-04 03:39:40.000000,2.0,5718.0,5718.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n589,StaticFrame,InvestmentSystems/static-frame,,data-containers,https://github.com/InvestmentSystems/static-frame,https://github.com/InvestmentSystems/static-frame,MIT,2018-01-03 15:07:52.000000,2021-05-13 12:37:57.812000,2021-05-13 03:29:36.000000,22,26.0,272.0,224,2509.0,Immutable and grow-only Pandas-like DataFrames with a more explicit and consistent interface.,16.0,21,True,2021-05-13 03:40:06.000000,0.8.9,108.0,static-frame,conda-forge/static-frame,,,,6.0,6.0,https://pypi.org/project/static-frame,2021-05-13 03:40:06.000000,0.0,951.0,4048.0,https://anaconda.org/conda-forge/static-frame,2021-05-13 12:37:57.812000,83639.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n590,scikit-posthocs,maximtrp/scikit-posthocs,,probabilistics,https://github.com/maximtrp/scikit-posthocs,https://github.com/maximtrp/scikit-posthocs,MIT,2017-06-22 19:41:37.000000,2021-03-17 06:05:27.000000,2021-03-15 16:05:26.000000,22,4.0,37.0,199,453.0,Multiple Pairwise Comparisons (Post Hoc) Tests in Python.,8.0,21,True,2021-03-17 06:05:28.000000,0.6.7,21.0,scikit-posthocs,,,,['sklearn'],6.0,,https://pypi.org/project/scikit-posthocs,2021-03-15 16:05:51.000000,6.0,17608.0,17608.0,,,,,,,,3.0,19.0,,,,,,,,,,,,,,,,,,,,,,\n591,TTS,mozilla/TTS,,audio,https://github.com/mozilla/TTS,https://github.com/mozilla/TTS,MPL-2.0,2018-01-23 14:22:06.000000,2021-04-24 06:44:08.000000,2021-02-12 10:36:31.000000,769,37.0,458.0,4672,2184.0,Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts).,55.0,20,True,2021-01-29 00:03:56.000000,0.0.9,1.0,,,,,,,,,,,,145.0,,,,,,,,3.0,580.0,,,,,,,,,,,,,,,,,,,,,,\n592,MindsDB,mindsdb/mindsdb,,ml-frameworks,https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,GPL-3.0,2018-08-02 17:56:45.000000,2021-05-13 12:24:44.000000,2021-05-12 18:03:11.000000,441,48.0,528.0,3720,,Predictive AI layer for existing databases.,56.0,20,False,2021-05-13 08:21:59.000000,2.30.1,46.0,mindsdb,,,,['pytorch'],6.0,,https://pypi.org/project/mindsdb,2019-03-19 05:07:23.000000,6.0,1709.0,1709.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n593,PaddleDetection,PaddlePaddle/PaddleDetection,,image,https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000000,2021-05-13 13:54:45.000000,2021-05-11 13:13:16.000000,905,345.0,1258.0,3611,746.0,Object detection and instance segmentation toolkit based on PaddlePaddle.,59.0,20,True,2021-04-19 15:10:54.000000,2.0.0,2.0,,,,,['paddle'],5.0,5.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n594,DALI,NVIDIA/DALI,,gpu-utilities,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000000,2021-05-13 15:09:28.000000,2021-05-13 13:57:01.000000,392,171.0,806.0,3273,1858.0,A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to..,57.0,20,True,2021-04-15 13:43:06.000000,1.1.0,39.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n595,FATE,FederatedAI/FATE,,privacy-ml,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000000,2021-05-12 13:32:24.000000,2021-04-30 07:13:34.000000,890,289.0,557.0,3051,7603.0,An Industrial Grade Federated Learning Framework.,56.0,20,True,2021-03-31 14:56:10.000000,1.6.0,26.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n596,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,,graph,https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16.000000,2021-05-03 14:30:07.000000,2021-05-03 14:30:03.000000,370,41.0,108.0,2762,144.0,Generate embeddings from large-scale graph-structured data.,21.0,20,True,2019-10-14 16:45:11.000000,1.0.0,3.0,torchbiggraph,,,,['pytorch'],4.0,,https://pypi.org/project/torchbiggraph,2019-05-01 21:31:13.000000,4.0,732.0,736.0,,,,,,,,3.0,113.0,,,,,,,,,,,,,,,,,,,,,,\n597,NeMo,NVIDIA/NeMo,,nlp,https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000000,2021-05-13 05:08:54.000000,2021-05-12 21:14:20.000000,466,196.0,445.0,2678,,NeMo: a toolkit for conversational AI.,92.0,20,True,2020-07-10 00:01:18.000000,0.11.0,36.0,nemo-toolkit,,,,['pytorch'],4.0,,https://pypi.org/project/nemo-toolkit,2020-12-11 21:33:53.000000,4.0,6303.0,6347.0,,,,,,,,3.0,895.0,,,,,,,,,,,,,,,,,,,,,,\n598,NLP Architect,IntelLabs/nlp-architect,,nlp,https://github.com/IntelLabs/nlp-architect,https://github.com/IntelLabs/nlp-architect,Apache-2.0,2018-05-17 21:00:13.000000,2021-04-13 08:07:05.000000,2021-04-13 08:02:56.000000,399,16.0,110.0,2663,953.0,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,36.0,20,True,2020-11-17 12:32:37.000000,0.5.5.1,13.0,nlp-architect,,,,,7.0,7.0,https://pypi.org/project/nlp-architect,2020-04-12 11:34:38.000000,,289.0,289.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n599,dpark,douban/dpark,,data-pipelines,https://github.com/douban/dpark,https://github.com/douban/dpark,BSD-3-Clause,2012-04-11 08:35:06.000000,2020-12-25 10:36:06.000000,2020-12-25 10:36:05.000000,554,,60.0,2659,1467.0,\"Python clone of Spark, a MapReduce alike framework in Python.\",35.0,20,True,2018-07-27 04:11:36.000000,0.5.0,19.0,dpark,,,,['spark'],4.0,3.0,https://pypi.org/project/dpark,2018-07-27 04:11:36.000000,1.0,97.0,97.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n600,tf-quant-finance,google/tf-quant-finance,,financial-data,https://github.com/google/tf-quant-finance,https://github.com/google/tf-quant-finance,Apache-2.0,2019-07-24 16:09:50.000000,2021-05-12 09:24:37.000000,2021-05-12 09:24:30.000000,332,16.0,13.0,2613,699.0,High-performance TensorFlow library for quantitative finance.,31.0,20,True,,,22.0,tf-quant-finance,,,,['tensorflow'],4.0,4.0,https://pypi.org/project/tf-quant-finance,2021-04-13 13:30:21.000000,0.0,246.0,246.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n601,finmarketpy,cuemacro/finmarketpy,,financial-data,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03.000000,2021-05-12 13:42:30.000000,2021-05-12 13:42:26.000000,431,22.0,3.0,2554,670.0,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,14.0,20,True,2021-01-25 15:04:53.000000,0.11.8,9.0,finmarketpy,,,,,3.0,3.0,https://pypi.org/project/finmarketpy,2021-01-25 15:01:25.000000,,80.0,80.0,,,,,,,,3.0,39.0,,,,,,,,,,,,,,,,,,,,,,\n602,DeepWalk,phanein/deepwalk,,graph,https://github.com/phanein/deepwalk,https://github.com/phanein/deepwalk,GPL-3.0,2014-08-23 03:38:20.000000,2020-04-02 01:05:36.000000,2020-04-02 01:05:35.000000,761,29.0,80.0,2239,46.0,DeepWalk - Deep Learning for Graphs.,10.0,20,False,2018-04-29 21:05:18.000000,1.0.3,4.0,deepwalk,,,,,43.0,36.0,https://pypi.org/project/deepwalk,2018-04-29 21:05:18.000000,7.0,2485.0,2485.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n603,Texthero,jbesomi/texthero,,nlp,https://github.com/jbesomi/texthero,https://github.com/jbesomi/texthero,MIT,2020-04-06 15:16:05.000000,2021-04-08 07:07:32.000000,2021-04-07 16:52:32.000000,191,73.0,51.0,2188,268.0,\"Text preprocessing, representation and visualization from zero to hero.\",18.0,20,True,2020-07-06 20:32:28.000000,1.0.9,9.0,texthero,,,,,0.0,,https://pypi.org/project/texthero,2020-07-06 20:29:25.000000,0.0,5470.0,5475.0,,,,,,,,3.0,65.0,,,,,,,,,,,,,,,,,,,,,,\n604,HiPlot,facebookresearch/hiplot,,data-viz,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41.000000,2021-05-11 20:14:22.000000,2021-05-07 08:50:44.000000,95,10.0,55.0,2104,135.0,HiPlot makes understanding high dimensional data easy.,6.0,20,True,2021-03-24 11:12:36.000000,0.1.24,56.0,hiplot,conda-forge/hiplot,,,,2.0,2.0,https://pypi.org/project/hiplot,2021-05-07 09:00:51.000000,0.0,7768.0,11375.0,https://anaconda.org/conda-forge/hiplot,2021-03-24 13:41:04.005000,54118.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n605,Coach,IntelLabs/coach,,reinforcement-learning,https://github.com/IntelLabs/coach,https://github.com/IntelLabs/coach,Apache-2.0,2017-10-01 19:27:43.000000,2021-05-12 08:19:52.000000,2021-05-12 08:11:10.000000,392,86.0,183.0,1974,518.0,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,34.0,20,True,2019-10-10 14:17:10.000000,1.0.1,13.0,rl_coach,,,,,2.0,,https://pypi.org/project/rl_coach,2019-10-10 14:17:10.000000,2.0,218.0,218.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n606,MONAI,Project-MONAI/MONAI,,medical-data,https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000000,2021-05-13 14:51:14.000000,2021-05-13 09:29:41.000000,357,104.0,803.0,1974,,AI Toolkit for Healthcare Imaging.,60.0,20,True,2021-04-27 17:49:55.000000,0.5.2,21.0,monai,,,,['pytorch'],0.0,,https://pypi.org/project/monai,2021-04-27 17:49:55.000000,0.0,7771.0,7771.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n607,fast-bert,kaushaltrivedi/fast-bert,,nlp,https://github.com/utterworks/fast-bert,https://github.com/utterworks/fast-bert,Apache-2.0,2019-04-18 22:01:20.000000,2021-04-28 20:10:21.000000,2021-04-28 20:10:13.000000,318,141.0,91.0,1569,,Super easy library for BERT based NLP models.,34.0,20,True,2021-03-09 00:19:27.000000,1.9.7,42.0,fast-bert,,,,,2.0,,https://pypi.org/project/fast-bert,2021-04-28 13:26:50.000000,2.0,2474.0,2474.0,,,,,,,,3.0,,,,,,,,,,,,,utterworks/fast-bert,,,,,,,,,,\n608,auto_ml,ClimbsRocks/auto_ml,,hyperopt,https://github.com/ClimbsRocks/auto_ml,https://github.com/ClimbsRocks/auto_ml,MIT,2016-08-07 21:35:08.000000,2021-02-10 07:52:35.000000,2018-03-25 19:46:25.000000,295,185.0,216.0,1536,1149.0,[UNMAINTAINED] Automated machine learning for analytics & production.,13.0,20,False,2018-02-22 01:13:03.000000,2.9.10,78.0,auto_ml,,,,,2.0,,https://pypi.org/project/auto_ml,2018-02-22 01:13:03.000000,2.0,2650.0,2650.0,,,,,,,,3.0,33.0,,,,,,,,,,,,,,,,,,,,,,\n609,lore,instacart/lore,,ml-experiments,https://github.com/instacart/lore,https://github.com/instacart/lore,MIT,2017-10-19 21:51:45.000000,2021-02-22 18:13:04.000000,2020-05-11 22:26:45.000000,119,16.0,18.0,1514,270.0,Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers.,22.0,20,True,2020-05-11 22:28:23.000000,0.8.4,231.0,lore,,,,,17.0,16.0,https://pypi.org/project/lore,2020-05-11 22:28:23.000000,1.0,693.0,693.0,,,,,,,,3.0,,,,,,,,,-2.0,,,,,,,,,,,,,,\n610,hiddenlayer,waleedka/hiddenlayer,,ml-experiments,https://github.com/waleedka/hiddenlayer,https://github.com/waleedka/hiddenlayer,MIT,2018-05-18 22:34:51.000000,2020-04-24 07:32:11.000000,2020-04-24 06:58:09.000000,207,44.0,34.0,1443,58.0,\"Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.\",6.0,20,False,2018-12-03 04:33:29.000000,0.2,3.0,hiddenlayer,,,,\"['pytorch', 'tensorflow', 'jupyter']\",78.0,70.0,https://pypi.org/project/hiddenlayer,2020-04-24 07:32:11.000000,8.0,2856.0,2856.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n611,DELTA,Delta-ML/delta,,nlp,https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57.000000,2021-05-12 14:51:36.847763,2020-12-17 06:57:15.000000,287,9.0,70.0,1409,932.0,DELTA is a deep learning based natural language and speech processing platform.,41.0,20,True,2020-07-16 09:31:45.000000,0.3.3,4.0,delta-nlp,,zh794390558/delta,,['tensorflow'],,,https://pypi.org/project/delta-nlp,2020-03-27 04:46:19.000000,,17.0,538.0,,,,https://hub.docker.com/r/zh794390558/delta,2021-05-12 14:51:36.847763,,12520.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n612,checklist,marcotcr/checklist,,interpretability,https://github.com/marcotcr/checklist,https://github.com/marcotcr/checklist,MIT,2020-03-09 17:18:49.000000,2021-05-11 17:34:03.000000,2021-05-10 16:42:25.000000,123,4.0,65.0,1358,226.0,Beyond Accuracy: Behavioral Testing of NLP models with CheckList.,10.0,20,True,2020-09-21 18:30:40.000000,0.0.10,9.0,checklist,,,,['jupyter'],9.0,7.0,https://pypi.org/project/checklist,2020-09-21 18:30:40.000000,2.0,1616.0,1616.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n613,Classy Vision,facebookresearch/ClassyVision,,image,https://github.com/facebookresearch/ClassyVision,https://github.com/facebookresearch/ClassyVision,MIT,2019-09-13 22:54:44.000000,2021-05-13 03:54:52.000000,2021-05-10 22:32:57.000000,218,53.0,54.0,1260,367.0,An end-to-end PyTorch framework for image and video classification.,61.0,20,True,2020-11-20 21:02:29.000000,0.5.0,15.0,classy_vision,conda-forge/classy_vision,,,['pytorch'],0.0,,https://pypi.org/project/classy_vision,2020-11-20 21:02:29.000000,0.0,213.0,673.0,https://anaconda.org/conda-forge/classy_vision,2020-12-11 20:08:25.437000,7366.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n614,DLTK,DLTK/DLTK,,medical-data,https://github.com/DLTK/DLTK,https://github.com/DLTK/DLTK,Apache-2.0,2017-05-02 15:40:36.000000,2021-01-15 01:31:30.000000,2019-01-21 14:01:28.000000,388,11.0,24.0,1256,379.0,Deep Learning Toolkit for Medical Image Analysis.,9.0,20,False,2018-02-26 17:43:57.000000,0.2.1,5.0,dltk,,,,['tensorflow'],20.0,20.0,https://pypi.org/project/dltk,2018-02-26 17:43:57.000000,,159.0,159.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n615,TaskTiger,closeio/tasktiger,,data-pipelines,https://github.com/closeio/tasktiger,https://github.com/closeio/tasktiger,MIT,2015-05-14 00:26:32.000000,2021-04-21 06:15:46.000000,2021-04-21 06:07:06.000000,59,36.0,32.0,1069,268.0,Python task queue using Redis.,22.0,20,True,2021-04-21 06:15:46.000000,0.15,25.0,tasktiger,,,,,38.0,20.0,https://pypi.org/project/tasktiger,2021-04-16 07:36:13.000000,18.0,790.0,790.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n616,Sockeye,awslabs/sockeye,,nlp,https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30.000000,2021-05-10 14:07:50.000000,2021-05-10 14:07:47.000000,295,20.0,228.0,1004,749.0,Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet.,52.0,20,True,2021-04-07 11:51:17.000000,2.3.14,63.0,sockeye,,,,['mxnet'],2.0,,https://pypi.org/project/sockeye,2021-04-07 11:51:17.000000,2.0,706.0,706.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n617,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,,pytorch-utils,https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000000,2021-05-05 19:14:59.000000,2021-05-05 19:14:51.000000,75,2.0,16.0,999,675.0,PyTorch extensions for fast R&D prototyping and Kaggle farming.,5.0,20,True,2021-04-02 10:59:33.000000,0.4.3,21.0,pytorch_toolbelt,,,,['pytorch'],2.0,,https://pypi.org/project/pytorch_toolbelt,2021-04-02 10:59:33.000000,2.0,11700.0,11700.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n618,pytorch-forecasting,jdb78/pytorch-forecasting,,time-series-data,https://github.com/jdb78/pytorch-forecasting,https://github.com/jdb78/pytorch-forecasting,MIT,2020-07-03 13:05:24.000000,2021-05-13 07:11:39.000000,2021-05-12 08:39:39.000000,117,46.0,162.0,998,864.0,Time series forecasting with PyTorch.,17.0,20,True,2021-04-27 20:38:48.000000,0.8.5,26.0,pytorch-forecasting,,,,,,,https://pypi.org/project/pytorch-forecasting,2021-04-27 20:38:48.000000,,12025.0,12025.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n619,pyts,johannfaouzi/pyts,,time-series-data,https://github.com/johannfaouzi/pyts,https://github.com/johannfaouzi/pyts,BSD-3-Clause,2017-07-31 09:23:16.000000,2021-04-01 12:14:04.000000,2021-03-31 07:40:39.000000,101,26.0,19.0,936,,A Python package for time series classification.,9.0,20,True,2020-03-21 12:41:33.000000,0.11.0,17.0,pyts,conda-forge/pyts,,,,113.0,109.0,https://pypi.org/project/pyts,2020-03-21 12:36:40.000000,4.0,16866.0,17214.0,https://anaconda.org/conda-forge/pyts,2020-03-21 14:08:24.734000,7309.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n620,gplearn,trevorstephens/gplearn,,others,https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14.000000,2020-02-15 08:12:38.000000,2020-02-15 08:12:17.000000,158,34.0,121.0,929,146.0,\"Genetic Programming in Python, with a scikit-learn inspired API.\",10.0,20,False,2019-06-01 02:04:52.000000,0.4.1,5.0,gplearn,,,,['sklearn'],173.0,159.0,https://pypi.org/project/gplearn,2019-06-01 02:04:52.000000,14.0,1443.0,1443.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n621,geoplotlib,andrea-cuttone/geoplotlib,,geospatial-data,https://github.com/andrea-cuttone/geoplotlib,https://github.com/andrea-cuttone/geoplotlib,MIT,2015-02-24 13:13:07.000000,2020-04-10 20:00:31.000000,2019-05-06 07:06:50.000000,147,24.0,18.0,914,159.0,python toolbox for visualizing geographical data and making maps.,8.0,20,False,2016-07-27 14:55:01.000000,0.3.2,4.0,geoplotlib,,,,,108.0,97.0,https://pypi.org/project/geoplotlib,2016-07-27 14:55:01.000000,11.0,2043.0,2043.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n622,Databolt Flow,d6t/d6tflow,,data-pipelines,https://github.com/d6t/d6tflow,https://github.com/d6t/d6tflow,MIT,2019-02-03 01:51:22.000000,2021-04-28 04:27:05.000000,2021-04-28 04:27:05.000000,67,8.0,13.0,910,241.0,Python library for building highly effective data science workflows.,12.0,20,True,2021-03-17 03:43:31.000000,0.2.3,20.0,d6tflow,,,,,13.0,13.0,https://pypi.org/project/d6tflow,2021-03-17 03:43:31.000000,,212.0,212.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n623,attention-ocr,emedvedev/attention-ocr,,ocr,https://github.com/emedvedev/attention-ocr,https://github.com/emedvedev/attention-ocr,MIT,2017-07-21 18:35:19.000000,2021-02-23 04:33:25.000000,2020-10-31 19:40:19.000000,233,20.0,126.0,857,196.0,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,27.0,20,True,2020-10-12 06:56:40.000000,0.7.6,21.0,aocr,,,,['tensorflow'],16.0,16.0,https://pypi.org/project/aocr,2019-04-19 05:28:27.000000,,250.0,250.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n624,Darts,unit8co/darts,,time-series-data,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000000,2021-05-13 13:50:23.000000,2021-05-11 16:06:39.000000,112,19.0,65.0,853,339.0,A python library for easy manipulation and forecasting of time series.,28.0,20,True,2021-04-14 13:55:28.000000,0.7.0,11.0,u8darts,,unit8/darts,,,2.0,2.0,https://pypi.org/project/u8darts,2021-04-14 13:55:28.000000,0.0,1776.0,1779.0,,,,https://hub.docker.com/r/unit8/darts,2021-04-14 13:36:57.572146,,113.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n625,keras-ocr,faustomorales/keras-ocr,,ocr,https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50.000000,2021-03-31 15:57:11.000000,2021-03-31 14:26:39.000000,200,39.0,97.0,843,167.0,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,10.0,20,True,2020-11-26 17:19:39.000000,0.8.6,26.0,keras-ocr,,,,['tensorflow'],2.0,,https://pypi.org/project/keras-ocr,2020-11-26 17:19:39.000000,2.0,3651.0,8869.0,,,,,,,,3.0,41749.0,,,,,,,,,,,,,,,,,,,,,,\n626,mrq,pricingassistant/mrq,,data-pipelines,https://github.com/pricingassistant/mrq,https://github.com/pricingassistant/mrq,MIT,2014-02-13 09:32:40.000000,2021-03-31 18:42:38.000000,2020-12-13 18:58:15.000000,113,59.0,119.0,840,709.0,Mr. Queue - A distributed worker task queue in Python using Redis & gevent.,37.0,20,True,2018-08-31 16:03:04.000000,0.9.10,70.0,mrq,,,,,35.0,23.0,https://pypi.org/project/mrq,2018-08-31 16:03:04.000000,12.0,553.0,553.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n627,DALEX,ModelOriented/DALEX,,interpretability,https://github.com/ModelOriented/DALEX,https://github.com/ModelOriented/DALEX,GPL-3.0,2018-02-18 03:24:12.000000,2021-05-11 14:44:46.000000,2021-05-11 14:44:43.000000,114,12.0,269.0,820,555.0,moDel Agnostic Language for Exploration and eXplanation.,19.0,20,False,2021-02-19 15:24:01.000000,1.0.1,19.0,dalex,,,,,12.0,12.0,https://pypi.org/project/dalex,2021-02-19 15:24:01.000000,0.0,7404.0,7404.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n628,nude.py,hhatto/nude.py,,image,https://github.com/hhatto/nude.py,https://github.com/hhatto/nude.py,MIT,2013-06-09 06:55:55.000000,2020-11-23 13:49:32.000000,2020-11-23 13:49:02.000000,130,6.0,2.0,797,79.0,Nudity detection with Python.,12.0,20,True,2020-11-23 13:49:17.000000,0.5.1,10.0,nudepy,,,,,247.0,229.0,https://pypi.org/project/nudepy,2020-11-23 13:49:17.000000,18.0,1796.0,1796.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n629,fairlearn,fairlearn/fairlearn,,interpretability,https://github.com/fairlearn/fairlearn,https://github.com/fairlearn/fairlearn,MIT,2018-05-15 01:51:35.000000,2021-05-12 15:26:35.000000,2021-05-12 07:56:29.000000,188,98.0,133.0,787,,A Python package to assess and improve fairness of machine learning models.,36.0,20,True,2021-05-08 01:40:59.000000,0.6.2,15.0,fairlearn,conda-forge/fairlearn,,,['sklearn'],2.0,,https://pypi.org/project/fairlearn,2021-05-08 00:41:07.000000,2.0,21488.0,22283.0,https://anaconda.org/conda-forge/fairlearn,2021-05-08 07:44:53.037000,11930.0,,,,,3.0,,,,,,,,,-2.0,,,,,,,,,,,,,,\n630,AstroML,astroML/astroML,,others,https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50.000000,2021-04-07 06:12:17.000000,2021-04-07 06:12:17.000000,256,48.0,84.0,745,,\"Machine learning, statistics, and data mining for astronomy and astrophysics.\",30.0,20,True,2019-10-02 06:32:58.000000,0.4.1,10.0,astroML,conda-forge/astroml,,,['sklearn'],29.0,,https://pypi.org/project/astroML,2020-03-23 23:20:49.000000,29.0,1468.0,1985.0,https://anaconda.org/conda-forge/astroml,2020-02-16 04:18:54.678000,23290.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n631,YouTokenToMe,vkcom/youtokentome,,nlp,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28.000000,2021-01-28 23:05:01.000000,2021-01-28 19:04:09.000000,46,21.0,22.0,741,79.0,Unsupervised text tokenizer focused on computational efficiency.,6.0,20,True,2020-02-13 09:57:47.000000,1.0.6,14.0,youtokentome,,,,,129.0,117.0,https://pypi.org/project/youtokentome,2020-02-12 18:24:46.000000,12.0,16086.0,16086.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n632,NGT,yahoojapan/NGT,,nn-search,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000000,2021-04-14 00:29:39.000000,2021-04-14 00:27:17.000000,74,7.0,74.0,710,129.0,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,11.0,20,True,2021-03-12 02:52:55.000000,1.13.5,49.0,ngt,,,,,6.0,,https://pypi.org/project/ngt,2020-09-23 06:52:45.000000,6.0,10108.0,10108.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n633,NearPy,pixelogik/NearPy,,nn-search,https://github.com/pixelogik/NearPy,https://github.com/pixelogik/NearPy,MIT,2013-04-25 09:10:26.000000,2020-02-17 20:24:08.000000,2018-10-21 17:54:28.000000,137,23.0,38.0,673,159.0,\"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..\",18.0,20,False,2016-09-27 13:04:44.000000,1.0.0,8.0,NearPy,,,,,68.0,52.0,https://pypi.org/project/NearPy,2016-09-27 13:03:12.000000,16.0,2516.0,2516.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n634,Saliency,PAIR-code/saliency,,tensorflow-utils,https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35.000000,2021-05-11 17:28:53.000000,2021-05-11 17:28:52.000000,156,17.0,11.0,664,76.0,\"Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).\",14.0,20,True,2021-05-03 16:33:29.000000,0.1.3,10.0,saliency,,,,['tensorflow'],17.0,15.0,https://pypi.org/project/saliency,2021-05-03 16:33:29.000000,2.0,495.0,495.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n635,bambi,bambinos/bambi,,probabilistics,https://github.com/bambinos/bambi,https://github.com/bambinos/bambi,MIT,2016-05-16 03:21:00.000000,2021-05-13 14:05:30.000000,2021-05-11 18:40:57.000000,52,29.0,144.0,610,560.0,BAyesian Model-Building Interface (Bambi) in Python.,16.0,20,True,2021-04-06 13:34:03.000000,0.4.1,12.0,bambi,,,,,16.0,13.0,https://pypi.org/project/bambi,2021-04-06 13:34:03.000000,3.0,331.0,331.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n636,lets-plot,JetBrains/lets-plot,,data-viz,https://github.com/JetBrains/lets-plot,https://github.com/JetBrains/lets-plot,MIT,2019-03-20 16:13:03.000000,2021-05-13 08:51:54.000000,2021-05-13 06:56:51.000000,20,65.0,96.0,609,1938.0,An open-source plotting library for statistical data.,15.0,20,True,2021-04-14 12:58:52.000000,2.0.2,32.0,lets-plot,,,,,8.0,8.0,https://pypi.org/project/lets-plot,2021-04-14 12:58:52.000000,,4461.0,4464.0,,,,,,,,3.0,59.0,,,,,,,,,,,,,,,,,,,,,,\n637,pdpipe,pdpipe/pdpipe,,data-pipelines,https://github.com/pdpipe/pdpipe,https://github.com/pdpipe/pdpipe,MIT,2017-01-24 20:37:22.000000,2021-02-23 19:36:13.000000,2021-02-23 18:30:54.000000,27,6.0,15.0,608,342.0,Easy pipelines for pandas DataFrames.,8.0,20,True,2021-02-23 19:40:09.000000,0.0.51,49.0,pdpipe,,,,['pandas'],29.0,29.0,https://pypi.org/project/pdpipe,2020-11-09 09:32:37.000000,0.0,2017.0,2017.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n638,Objax,google/objax,,ml-frameworks,https://github.com/google/objax,https://github.com/google/objax,Apache-2.0,2020-08-20 06:20:40.000000,2021-05-12 21:26:27.000000,2021-04-21 22:04:16.000000,47,40.0,53.0,594,411.0,Objax is a machine learning framework that provides an Object Oriented layer for JAX.,20.0,20,True,2021-04-01 00:14:18.000000,1.4.0,7.0,objax,,,,['jax'],12.0,12.0,https://pypi.org/project/objax,2021-04-01 00:02:37.000000,0.0,536.0,536.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n639,PFRL,pfnet/pfrl,,reinforcement-learning,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50.000000,2021-05-03 06:11:09.000000,2021-04-28 02:56:32.000000,70,22.0,25.0,590,357.0,PFRL: a PyTorch-based deep reinforcement learning library.,13.0,20,True,2020-12-17 05:00:25.000000,0.2.1,4.0,pfrl,,,,,9.0,9.0,https://pypi.org/project/pfrl,2020-12-17 05:00:25.000000,,1243.0,1243.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n640,Labml,lab-ml/labml,,ml-experiments,https://github.com/lab-ml/labml,https://github.com/lab-ml/labml,MIT,2018-11-16 09:34:48.000000,2021-05-13 09:49:58.000000,2021-05-13 09:49:43.000000,44,4.0,7.0,558,1008.0,Monitor deep learning model training and hardware usage from your mobile phone.,6.0,20,True,2021-05-10 06:03:38.000000,0.4.119,97.0,labml,,,,,24.0,24.0,https://pypi.org/project/labml,2021-05-13 09:49:58.000000,0.0,930.0,930.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n641,Feature Engine,solegalli/feature_engine,,others,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2018-12-31 01:47:18.000000,2021-05-10 21:22:18.000000,2021-05-01 10:46:55.000000,145,29.0,82.0,530,112.0,Feature engineering package with sklearn like functionality.,23.0,20,True,2021-01-23 12:03:16.000000,1.0.2,25.0,feature_engine,conda-forge/feature_engine,,,,2.0,,https://pypi.org/project/feature_engine,2021-01-23 12:03:16.000000,2.0,23085.0,23404.0,https://anaconda.org/conda-forge/feature_engine,2021-01-25 12:36:37.909000,2873.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n642,What-If Tool,PAIR-code/what-if-tool,,interpretability,https://github.com/PAIR-code/what-if-tool,https://github.com/PAIR-code/what-if-tool,Apache-2.0,2018-09-07 20:26:10.000000,2021-05-11 09:27:28.000000,2021-03-17 12:46:20.000000,103,37.0,37.0,510,319.0,Source code/webpage/demos for the What-If Tool.,19.0,20,True,2021-01-19 14:40:37.214000,1.8.0,38.0,witwidget,,,,,0.0,,https://pypi.org/project/witwidget,2021-01-19 14:40:21.000000,0.0,9893.0,13036.0,,,,,,,,3.0,,,wit-widget,https://www.npmjs.com/package/wit-widget,2021-01-19 14:40:37.214000,,3143.0,,,,,,,,,,,,,,,,\n643,scikit-lego,koaning/scikit-lego,,sklearn-utils,https://github.com/koaning/scikit-lego,https://github.com/koaning/scikit-lego,MIT,2019-01-21 15:30:15.000000,2021-05-07 16:59:35.251000,2021-05-07 13:22:58.000000,71,25.0,193.0,497,,Extra blocks for scikit-learn pipelines.,46.0,20,True,2021-05-07 13:23:25.000000,0.6.7,33.0,scikit-lego,conda-forge/scikit-lego,,,['sklearn'],24.0,24.0,https://pypi.org/project/scikit-lego,2021-05-07 13:24:31.000000,0.0,3478.0,4043.0,https://anaconda.org/conda-forge/scikit-lego,2021-05-07 16:59:35.251000,10750.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n644,pyhsmm,mattjj/pyhsmm,,probabilistics,https://github.com/mattjj/pyhsmm,https://github.com/mattjj/pyhsmm,MIT,2012-03-18 17:40:13.000000,2020-09-29 20:58:26.000000,2020-08-24 17:03:59.000000,152,34.0,60.0,486,1426.0,Bayesian inference in HSMMs and HMMs.,13.0,20,True,2017-05-10 17:14:37.000000,0.1.7,8.0,pyhsmm,,,,,26.0,18.0,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37.000000,8.0,259.0,259.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n645,Poutyne,GRAAL-Research/poutyne,,pytorch-utils,https://github.com/GRAAL-Research/poutyne,https://github.com/GRAAL-Research/poutyne,LGPL-3.0,2017-12-07 18:30:17.000000,2021-05-11 20:29:46.000000,2021-04-15 22:09:19.000000,50,7.0,37.0,472,547.0,A simplified framework and utilities for PyTorch.,16.0,20,False,2021-04-15 15:29:37.000000,1.4,21.0,poutyne,,,,['pytorch'],63.0,59.0,https://pypi.org/project/poutyne,2021-04-15 15:30:07.000000,4.0,1287.0,1287.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n646,nnAudio,KinWaiCheuk/nnAudio,,audio,https://github.com/KinWaiCheuk/nnAudio,https://github.com/KinWaiCheuk/nnAudio,MIT,2019-09-02 04:31:14.000000,2021-05-03 05:47:56.000000,2021-05-02 11:21:11.000000,45,9.0,27.0,465,238.0,Audio processing by using pytorch 1D convolution network.,9.0,20,True,2021-03-01 02:58:44.000000,0.2.2,30.0,nnAudio,,,,,14.0,14.0,https://pypi.org/project/nnAudio,2021-05-02 14:01:29.000000,,577.0,577.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,True\n647,HpBandSter,automl/HpBandSter,,hyperopt,https://github.com/automl/HpBandSter,https://github.com/automl/HpBandSter,BSD-3-Clause,2017-12-17 20:28:20.000000,2021-01-31 10:05:37.000000,2019-03-26 09:26:28.000000,98,57.0,35.0,464,187.0,a distributed Hyperband implementation on Steroids.,11.0,20,False,2019-07-30 12:47:43.000000,1.0,8.0,hpbandster,,,,,156.0,140.0,https://pypi.org/project/hpbandster,2018-11-06 12:56:55.000000,16.0,16402.0,16402.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n648,seglearn,dmbee/seglearn,,time-series-data,https://github.com/dmbee/seglearn,https://github.com/dmbee/seglearn,BSD-3-Clause,2018-03-05 20:53:59.000000,2021-03-13 16:18:30.000000,2021-03-12 17:12:50.000000,47,5.0,22.0,446,268.0,Python module for machine learning time series:.,13.0,20,True,2021-03-13 16:18:30.000000,1.2.3,22.0,seglearn,,,,,8.0,7.0,https://pypi.org/project/seglearn,2021-03-13 16:18:30.000000,1.0,2343.0,2343.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n649,pivottablejs,nicolaskruchten/jupyter_pivottablejs,,data-viz,https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,MIT,2015-09-09 13:39:18.000000,2018-12-04 14:43:26.000000,2018-12-04 14:43:25.000000,58,16.0,37.0,433,32.0,\"Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js.\",3.0,20,False,2018-01-15 18:14:37.000000,0.9.0,10.0,pivottablejs,,,,['jupyter'],200.0,166.0,https://pypi.org/project/pivottablejs,2018-01-15 18:14:37.000000,34.0,7983.0,7983.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n650,PyWaffle,gyli/PyWaffle,,data-viz,https://github.com/gyli/PyWaffle,https://github.com/gyli/PyWaffle,MIT,2017-11-14 20:03:47.000000,2020-07-26 23:22:17.000000,2020-07-26 23:22:13.000000,67,2.0,10.0,423,249.0,Make Waffle Charts in Python.,6.0,20,True,2020-07-26 19:16:45.000000,0.6.1,22.0,pywaffle,,,,,53.0,53.0,https://pypi.org/project/pywaffle,2020-07-26 19:16:45.000000,,2215.0,2215.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n651,pydlm,wwrechard/pydlm,,time-series-data,https://github.com/wwrechard/pydlm,https://github.com/wwrechard/pydlm,BSD-3-Clause,2016-06-29 07:58:53.000000,2021-02-24 14:21:28.000000,2019-10-22 07:18:40.000000,86,35.0,8.0,386,362.0,A python library for Bayesian time series modeling.,6.0,20,False,2016-11-06 01:43:35.000000,0.1.1,13.0,pydlm,,,,,21.0,19.0,https://pypi.org/project/pydlm,2018-12-19 10:27:54.000000,2.0,22849.0,22849.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n652,AutoViz,AutoViML/AutoViz,,data-viz,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06.000000,2020-12-21 03:22:01.000000,2020-12-21 03:21:52.000000,58,3.0,21.0,346,97.0,\"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..\",10.0,20,True,2020-12-10 02:33:19.000000,0.0.81,26.0,autoviz,,,,,50.0,50.0,https://pypi.org/project/autoviz,2020-12-10 02:33:19.000000,,4157.0,4157.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n653,MedPy,loli/medpy,,medical-data,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34.000000,2020-05-01 15:25:39.000000,2020-05-01 15:25:38.000000,107,11.0,66.0,346,324.0,Medical image processing in Python.,13.0,20,False,2019-02-14 17:12:59.000000,0.4.0,6.0,MedPy,,,,,295.0,265.0,https://pypi.org/project/MedPy,2019-02-14 17:12:59.000000,30.0,8004.0,8004.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n654,BioPandas,rasbt/biopandas,,others,https://github.com/rasbt/biopandas,https://github.com/rasbt/biopandas,BSD-3-Clause,2015-11-21 00:00:14.000000,2021-04-07 03:17:51.000000,2021-04-07 03:17:51.000000,78,15.0,21.0,337,,Working with molecular structures in pandas DataFrames.,7.0,20,True,2021-03-03 00:55:13.000000,0.2.8,12.0,biopandas,conda-forge/biopandas,,,['pandas'],61.0,55.0,https://pypi.org/project/biopandas,2021-03-03 00:55:13.000000,6.0,928.0,2330.0,https://anaconda.org/conda-forge/biopandas,2020-08-08 06:33:59.197000,74328.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n655,sklearn-evaluation,edublancas/sklearn-evaluation,,interpretability,https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2015-09-04 16:33:42.000000,2021-04-29 16:00:35.000000,2021-03-28 18:13:37.000000,27,9.0,28.0,305,516.0,\"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook..\",5.0,20,True,2021-03-28 18:21:46.000000,0.5.5,17.0,sklearn-evaluation,,,,['sklearn'],30.0,28.0,https://pypi.org/project/sklearn-evaluation,2021-03-28 18:20:55.000000,2.0,757.0,757.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n656,textpipe,textpipe/textpipe,,nlp,https://github.com/textpipe/textpipe,https://github.com/textpipe/textpipe,MIT,2018-06-21 16:23:32.000000,2021-03-29 09:42:04.000000,2021-01-25 14:01:56.000000,20,21.0,25.0,290,370.0,Textpipe: clean and extract metadata from text.,27.0,20,True,2021-01-25 14:05:21.000000,0.12.2,39.0,textpipe,,,,,8.0,7.0,https://pypi.org/project/textpipe,2021-01-25 14:05:21.000000,1.0,3262.0,3262.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n657,FiftyOne,voxel51/fiftyone,,data-viz,https://github.com/voxel51/fiftyone,https://github.com/voxel51/fiftyone,Apache-2.0,2020-04-22 13:43:28.000000,2021-05-13 15:06:01.000000,2021-05-12 21:19:38.000000,25,129.0,279.0,279,5467.0,\"Visualize, create, and debug image and video datasets and model predictions.\",11.0,20,True,2021-05-12 21:21:37.000000,0.9.1,49.0,fiftyone,,,,\"['tensorflow', 'pytorch', 'jupyter']\",1.0,1.0,https://pypi.org/project/fiftyone,2021-05-12 21:21:37.000000,,1274.0,1274.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n658,impyute,eltonlaw/impyute,,others,https://github.com/eltonlaw/impyute,https://github.com/eltonlaw/impyute,MIT,2017-01-21 09:16:27.000000,2020-06-12 21:08:40.000000,2019-10-05 20:39:08.000000,41,26.0,36.0,277,289.0,Data imputations library to preprocess datasets with missing data.,9.0,20,False,2019-04-29 02:31:32.000000,0.0.8,8.0,impyute,,,,,95.0,91.0,https://pypi.org/project/impyute,2019-04-29 02:31:32.000000,4.0,2962.0,2962.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n659,EarthPy,earthlab/earthpy,,geospatial-data,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000000,2021-05-11 09:45:42.000000,2021-04-06 22:04:33.000000,108,19.0,201.0,259,,A package built to support working with spatial data using open source python.,39.0,20,True,2020-06-18 23:58:08.000000,0.9.2,22.0,earthpy,conda-forge/earthpy,,,,95.0,89.0,https://pypi.org/project/earthpy,2020-06-18 23:58:08.000000,6.0,2904.0,4175.0,https://anaconda.org/conda-forge/earthpy,2020-06-19 15:23:44.425000,31784.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n660,Brainiak,brainiak/brainiak,,medical-data,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27.000000,2021-04-30 22:24:42.000000,2021-02-19 18:46:29.000000,112,66.0,120.0,243,390.0,Brain Imaging Analysis Kit.,32.0,20,True,2019-08-27 23:52:29.000000,0.9.1,15.0,brainiak,,brainiak/brainiak,,,13.0,12.0,https://pypi.org/project/brainiak,2020-10-15 20:45:08.000000,1.0,298.0,306.0,,,,https://hub.docker.com/r/brainiak/brainiak,2020-10-15 21:11:03.379549,1.0,562.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n661,ivis,beringresearch/ivis,,data-viz,https://github.com/beringresearch/ivis,https://github.com/beringresearch/ivis,Apache-2.0,2018-08-13 08:31:01.000000,2021-05-02 00:39:18.000000,2021-05-02 00:19:12.000000,23,2.0,42.0,229,535.0,Dimensionality reduction in very large datasets using Siamese Networks.,8.0,20,True,2021-04-15 19:29:20.000000,2.0.2,28.0,ivis,,,,['tensorflow'],15.0,15.0,https://pypi.org/project/ivis,2021-04-15 19:29:20.000000,0.0,559.0,559.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n662,Glow,projectglow/glow,,medical-data,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47.000000,2021-04-28 00:07:10.000000,2021-04-27 23:19:55.000000,45,29.0,59.0,168,323.0,An open-source toolkit for large-scale genomic analysis.,12.0,20,True,2021-04-28 00:07:10.000000,1.0.1,11.0,glow.py,,,,,,,https://pypi.org/project/glow.py,2021-04-28 00:05:18.000000,,10667.0,10667.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n663,Crypto Signals,CryptoSignal/crypto-signal,,financial-data,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24.000000,2021-05-12 21:10:11.000000,2020-09-03 12:26:48.000000,827,43.0,192.0,3010,563.0,\"Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 2,100 + stars, 580 + forks.\",25.0,19,True,,,,,,shadowreaver/crypto-signal,,,,,,,,,3096.0,,,,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133,8.0,136250.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n664,AdaBound,Luolc/AdaBound,,pytorch-utils,https://github.com/Luolc/AdaBound,https://github.com/Luolc/AdaBound,Apache-2.0,2019-02-15 18:05:20.000000,2019-03-06 17:01:52.000000,2019-03-06 17:01:45.000000,327,16.0,7.0,2844,27.0,An optimizer that trains as fast as Adam and as good as SGD.,2.0,19,False,2019-03-06 16:44:42.000000,0.0.5,4.0,adabound,,,,['pytorch'],121.0,109.0,https://pypi.org/project/adabound,2019-02-26 04:23:45.000000,12.0,1053.0,1053.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n665,BytePS,bytedance/byteps,,distributed-ml,https://github.com/bytedance/byteps,https://github.com/bytedance/byteps,Apache-2.0,2019-06-25 07:00:13.000000,2021-05-10 08:59:02.000000,2021-04-21 01:41:01.000000,384,88.0,148.0,2809,417.0,A high performance and generic framework for distributed DNN training.,19.0,19,True,2020-08-27 15:42:13.000000,0.2.4,7.0,byteps,,bytepsimage/tensorflow,,,,,https://pypi.org/project/byteps,2020-11-04 00:05:46.000000,,185.0,232.0,,,,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,1096.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n666,image-match,EdjoLabs/image-match,,image,https://github.com/ProvenanceLabs/image-match,https://github.com/ProvenanceLabs/image-match,Apache-2.0,2016-03-08 18:16:45.000000,2021-01-04 18:36:01.000000,2021-01-04 18:35:59.000000,371,54.0,48.0,2563,404.0,Quickly search over billions of images.,17.0,19,True,2017-02-13 14:54:48.000000,1.1.2,10.0,image_match,,,,,6.0,,https://pypi.org/project/image_match,2017-02-13 14:54:48.000000,6.0,590.0,590.0,,,,,,,,3.0,,,,,,,,,,,,,ProvenanceLabs/image-match,,,,,,,,,,\n667,StreamAlert,airbnb/streamalert,,others,https://github.com/airbnb/streamalert,https://github.com/airbnb/streamalert,Apache-2.0,2017-01-22 01:10:56.000000,2021-04-30 20:35:29.000000,2021-02-10 05:03:05.000000,293,88.0,249.0,2525,1893.0,\"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data..\",31.0,19,True,2020-10-05 21:50:56.000000,3.4.1,27.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n668,Apache Singa,apache/singa,,distributed-ml,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000000,2021-04-10 07:05:37.000000,2021-01-15 13:09:22.000000,607,40.0,35.0,2222,2265.0,a distributed deep learning platform.,70.0,19,True,2020-04-21 08:01:08.000000,3.0.0,14.0,,nusdbsystem/singa,apache/singa,,,1.0,1.0,,,,,7.0,https://anaconda.org/nusdbsystem/singa,2021-01-20 03:00:28.355000,268.0,https://hub.docker.com/r/apache/singa,2019-06-04 04:32:52.195956,2.0,165.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n669,cuML,rapidsai/cuml,,gpu-utilities,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000000,2021-05-13 15:02:17.000000,2021-05-12 22:04:38.000000,331,629.0,1111.0,2154,,cuML - RAPIDS Machine Learning Library.,126.0,19,True,2021-04-21 19:48:21.000000,0.19.0,8.0,cuml,,,,,0.0,,https://pypi.org/project/cuml,2020-06-01 20:09:10.000000,0.0,813.0,813.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n670,pdftabextract,WZBSocialScienceCenter/pdftabextract,,ocr,https://github.com/WZBSocialScienceCenter/pdftabextract,https://github.com/WZBSocialScienceCenter/pdftabextract,Apache-2.0,2016-07-08 11:44:46.000000,2020-12-28 00:52:23.000000,2018-10-26 13:57:02.000000,332,3.0,18.0,1920,168.0,A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.,2.0,19,False,2018-01-09 08:00:24.000000,0.3.0,5.0,pdftabextract,,,,,38.0,37.0,https://pypi.org/project/pdftabextract,2018-01-09 08:00:24.000000,1.0,388.0,388.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n671,Mara Pipelines,mara/mara-pipelines,,data-pipelines,https://github.com/mara/mara-pipelines,https://github.com/mara/mara-pipelines,MIT,2018-03-31 20:37:22.000000,2021-03-08 23:02:36.000000,2021-03-08 23:02:33.000000,80,11.0,12.0,1709,134.0,\"A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow.\",16.0,19,True,2021-01-23 22:34:03.000000,3.1.2,7.0,mara-pipelines,,,,,7.0,7.0,https://pypi.org/project/mara-pipelines,2021-01-23 22:34:03.000000,,154.0,154.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n672,River,online-ml/river,,others,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000000,2021-05-13 13:16:50.000000,2021-05-13 13:12:05.000000,208,33.0,280.0,1596,3120.0,Online machine learning in Python.,64.0,19,True,,,,,,,,,12.0,12.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n673,NeuroNER,Franck-Dernoncourt/NeuroNER,,nlp,https://github.com/Franck-Dernoncourt/NeuroNER,https://github.com/Franck-Dernoncourt/NeuroNER,MIT,2017-03-07 01:24:15.000000,2020-11-13 18:07:48.000000,2019-10-02 23:26:11.000000,440,80.0,67.0,1551,132.0,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,7.0,19,False,2019-10-02 23:30:15.000000,1.0.8,7.0,pyneuroner,,,,,10.0,10.0,https://pypi.org/project/pyneuroner,2019-10-02 23:30:15.000000,,208.0,208.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n674,ThunderSVM,Xtra-Computing/thundersvm,,ml-frameworks,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04.000000,2021-02-10 05:12:44.000000,2021-02-10 05:12:44.000000,171,49.0,145.0,1307,902.0,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,33.0,19,True,2020-03-13 12:36:30.000000,0.3.12,9.0,thundersvm,,,,,,,https://pypi.org/project/thundersvm,2020-03-13 12:36:30.000000,,548.0,588.0,,,,,,,,3.0,2180.0,,,,,,,,,,,,,,,,,,,,,,\n675,TensorNets,taehoonlee/tensornets,,tensorflow-utils,https://github.com/taehoonlee/tensornets,https://github.com/taehoonlee/tensornets,MIT,2017-09-19 05:19:01.000000,2021-01-02 06:28:10.000000,2021-01-02 06:26:24.000000,188,14.0,42.0,985,284.0,High level network definitions with pre-trained weights in TensorFlow.,6.0,19,True,2020-03-31 04:38:27.000000,0.4.6,12.0,tensornets,,,,['tensorflow'],38.0,34.0,https://pypi.org/project/tensornets,2020-03-31 04:35:15.000000,4.0,184.0,184.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n676,Skater,oracle/Skater,,interpretability,https://github.com/oracle/Skater,https://github.com/oracle/Skater,UPL-1.0,2017-01-26 05:45:42.000000,2020-11-01 15:57:12.273000,2020-06-29 20:07:12.000000,163,69.0,97.0,974,1101.0,Python Library for Model Interpretation/Explanations.,34.0,19,False,2018-09-21 07:03:32.000000,1.1.2,23.0,skater,conda-forge/skater,,,,,,https://pypi.org/project/skater,2018-09-21 07:03:32.000000,,1652.0,2475.0,https://anaconda.org/conda-forge/skater,2020-11-01 15:57:12.273000,38726.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n677,Fiber,uber/fiber,,distributed-ml,https://github.com/uber/fiber,https://github.com/uber/fiber,Apache-2.0,2020-01-07 18:16:24.000000,2021-04-30 21:14:03.000000,2021-03-15 07:00:08.000000,96,13.0,8.0,892,66.0,Distributed Computing for AI Made Simple.,5.0,19,True,2020-07-09 03:28:28.000000,0.2.1,6.0,fiber,,,,,28.0,27.0,https://pypi.org/project/fiber,2020-07-09 03:28:28.000000,1.0,1680.0,1680.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n678,advertorch,BorealisAI/advertorch,,adversarial,https://github.com/BorealisAI/advertorch,https://github.com/BorealisAI/advertorch,GPL-3.0,2018-11-29 22:17:33.000000,2021-02-26 11:22:02.000000,2020-06-15 01:16:18.000000,136,15.0,28.0,856,270.0,A Toolbox for Adversarial Robustness Research.,16.0,19,False,2020-06-15 01:20:07.000000,0.2.3,10.0,advertorch,,,,['pytorch'],43.0,37.0,https://pypi.org/project/advertorch,2020-06-15 01:20:07.000000,6.0,1865.0,1865.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n679,calamari,Calamari-OCR/calamari,,ocr,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,Apache-2.0,2018-03-20 15:22:29.000000,2021-05-13 08:40:38.000000,2021-05-11 18:06:06.000000,175,38.0,156.0,813,349.0,Line based ATR Engine based on OCRopy.,17.0,19,True,2021-05-11 18:08:56.000000,2.1.1,27.0,calamari_ocr,,,,,2.0,,https://pypi.org/project/calamari_ocr,2018-11-13 11:24:45.000000,2.0,946.0,946.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n680,TensorFrames,databricks/tensorframes,,distributed-ml,https://github.com/databricks/tensorframes,https://github.com/databricks/tensorframes,Apache-2.0,2016-03-04 19:25:19.000000,2020-11-13 17:47:02.000000,2019-11-15 21:43:53.000000,157,51.0,43.0,766,221.0,[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark.,16.0,19,False,2018-11-16 20:50:02.000000,0.6.0,6.0,tensorframes,,,,\"['tensorflow', 'spark']\",1.0,,https://pypi.org/project/tensorframes,2018-05-16 14:20:28.000000,1.0,12513.0,12513.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n681,tffm,geffy/tffm,,tensorflow-utils,https://github.com/geffy/tffm,https://github.com/geffy/tffm,MIT,2016-05-02 17:06:07.000000,2020-05-22 21:40:58.000000,2020-05-22 21:40:57.000000,176,17.0,20.0,765,106.0,TensorFlow implementation of an arbitrary order Factorization Machine.,10.0,19,True,2018-01-27 11:43:26.000000,1.0.1,2.0,tffm,,,,['tensorflow'],12.0,11.0,https://pypi.org/project/tffm,2018-01-27 11:43:26.000000,1.0,2044.0,2044.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n682,pytorch2keras,nerox8664/pytorch2keras,,model-serialisation,https://github.com/gmalivenko/pytorch2keras,https://github.com/gmalivenko/pytorch2keras,MIT,2017-11-16 20:21:43.000000,2021-05-09 08:11:50.000000,2021-05-09 08:06:07.000000,113,45.0,66.0,701,278.0,PyTorch to Keras model convertor.,12.0,19,True,2020-05-14 10:03:56.000000,0.2.4,23.0,pytorch2keras,,,,,21.0,20.0,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56.000000,1.0,892.0,892.0,,,,,,,,3.0,,,,,,,,,,,,,gmalivenko/pytorch2keras,,,,,,,,,,\n683,Hivemind,learning-at-home/hivemind,,distributed-ml,https://github.com/learning-at-home/hivemind,https://github.com/learning-at-home/hivemind,MIT,2020-02-27 13:50:19.000000,2021-05-13 13:20:20.000000,2021-05-12 08:30:42.000000,41,43.0,36.0,690,350.0,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,16.0,19,True,2021-04-27 13:57:39.000000,0.9.7,9.0,hivemind,,,,,3.0,2.0,https://pypi.org/project/hivemind,2021-04-27 14:16:41.000000,1.0,150.0,150.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n684,Test Tube,williamFalcon/test-tube,,hyperopt,https://github.com/williamFalcon/test-tube,https://github.com/williamFalcon/test-tube,MIT,2017-09-06 02:14:57.000000,2021-01-17 20:04:39.000000,2020-03-17 22:44:47.000000,61,25.0,21.0,683,642.0,Python library to easily log experiments and parallelize hyperparameter search for neural networks.,16.0,19,False,2019-12-01 01:19:36.000000,0.7.5,53.0,test_tube,,,,,5.0,,https://pypi.org/project/test_tube,2018-12-12 22:45:59.000000,5.0,15814.0,15814.0,,,,,,,,3.0,8.0,,,,,,,,,,,,,,,,,,,,,,\n685,finetune,IndicoDataSolutions/finetune,,nlp,https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16.000000,2021-05-13 01:28:51.000000,2021-05-10 15:01:54.000000,68,21.0,115.0,639,1201.0,Scikit-learn style model finetuning for NLP.,19.0,19,True,2020-01-10 22:42:24.000000,0.8.6,37.0,finetune,,,,\"['tensorflow', 'sklearn']\",11.0,9.0,https://pypi.org/project/finetune,2020-01-10 22:42:24.000000,2.0,136.0,136.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n686,matrixprofile-ts,target/matrixprofile-ts,,time-series-data,https://github.com/target/matrixprofile-ts,https://github.com/target/matrixprofile-ts,Apache-2.0,2018-09-10 19:03:34.000000,2020-04-25 18:38:20.000000,2020-04-25 18:37:42.000000,92,19.0,34.0,634,198.0,A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile.,15.0,19,False,2019-08-08 01:24:38.000000,0.0.9,9.0,matrixprofile-ts,,,,,16.0,16.0,https://pypi.org/project/matrixprofile-ts,2019-08-08 01:24:38.000000,,3984.0,3984.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n687,XAI,EthicalML/xai,,interpretability,https://github.com/EthicalML/xai,https://github.com/EthicalML/xai,MIT,2019-01-11 20:00:09.000000,2021-04-23 07:08:20.000000,2021-04-23 07:08:20.000000,96,4.0,3.0,624,87.0,XAI - An eXplainability toolbox for machine learning.,3.0,19,True,2019-04-21 14:53:12.000000,0.0.5,5.0,xai,,,,,17.0,11.0,https://pypi.org/project/xai,2019-04-21 14:53:12.000000,6.0,3300.0,3300.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n688,vecstack,vecxoz/vecstack,,others,https://github.com/vecxoz/vecstack,https://github.com/vecxoz/vecstack,MIT,2016-11-08 13:23:21.000000,2020-09-14 08:31:07.000000,2019-10-30 09:27:48.000000,66,,36.0,601,189.0,Python package for stacking (machine learning technique).,1.0,19,False,2019-08-12 16:09:01.000000,0.4.0,6.0,vecstack,,,,,135.0,127.0,https://pypi.org/project/vecstack,2019-08-12 16:01:22.000000,8.0,3060.0,3060.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n689,Performer Pytorch,lucidrains/performer-pytorch,,pytorch-utils,https://github.com/lucidrains/performer-pytorch,https://github.com/lucidrains/performer-pytorch,MIT,2020-10-03 03:41:36.000000,2021-04-21 06:30:05.000000,2021-04-21 06:29:48.000000,76,22.0,38.0,599,,\"An implementation of Performer, a linear attention-based transformer, in Pytorch.\",4.0,19,True,2021-04-21 06:30:05.000000,1.0.11,75.0,performer-pytorch,,,,['pytorch'],21.0,21.0,https://pypi.org/project/performer-pytorch,2021-04-21 05:45:21.000000,0.0,2162.0,2162.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n690,baikal,alegonz/baikal,,others,https://github.com/alegonz/baikal,https://github.com/alegonz/baikal,BSD-3-Clause,2019-01-21 12:59:02.000000,2021-04-18 08:09:10.000000,2021-04-11 07:50:00.000000,29,6.0,14.0,577,405.0,A graph-based functional API for building complex scikit-learn pipelines.,2.0,19,True,2020-11-15 13:40:18.000000,0.4.2,7.0,baikal,conda-forge/cython-blis,,,,3.0,3.0,https://pypi.org/project/baikal,2020-11-15 13:40:18.000000,0.0,528.0,34830.0,https://anaconda.org/conda-forge/cython-blis,2021-01-31 09:13:47.685000,891874.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n691,iterative-stratification,trent-b/iterative-stratification,,sklearn-utils,https://github.com/trent-b/iterative-stratification,https://github.com/trent-b/iterative-stratification,BSD-3-Clause,2018-02-04 00:32:10.000000,2020-09-12 15:32:44.000000,2020-09-12 15:35:02.000000,50,2.0,11.0,553,47.0,scikit-learn cross validators for iterative stratification of multilabel data.,4.0,19,True,2018-08-12 18:28:50.000000,0.1.6,5.0,iterative-stratification,,,,['sklearn'],141.0,127.0,https://pypi.org/project/iterative-stratification,2018-08-12 18:28:50.000000,14.0,6989.0,6989.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n692,robustness,MadryLab/robustness,,adversarial,https://github.com/MadryLab/robustness,https://github.com/MadryLab/robustness,MIT,2019-08-21 09:26:33.000000,2021-04-23 19:38:21.000000,2021-03-04 15:19:19.000000,98,8.0,52.0,532,139.0,\"A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.\",12.0,19,True,2020-12-01 06:11:12.000000,1.2.1.post2,10.0,robustness,,,,,48.0,46.0,https://pypi.org/project/robustness,2020-12-01 06:21:33.000000,2.0,374.0,374.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n693,DiCE,interpretml/DiCE,,interpretability,https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000000,2021-05-13 06:46:47.000000,2021-05-12 16:01:04.000000,78,21.0,29.0,530,378.0,Generate Diverse Counterfactual Explanations for any machine learning model.,11.0,19,True,2021-05-10 16:05:55.000000,0.6.1,5.0,dice-ml,,,,\"['tensorflow', 'pytorch']\",0.0,,https://pypi.org/project/dice-ml,2021-05-10 16:05:55.000000,0.0,2969.0,2969.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n694,deeplift,kundajelab/deeplift,,interpretability,https://github.com/kundajelab/deeplift,https://github.com/kundajelab/deeplift,MIT,2016-06-01 02:18:06.000000,2020-11-11 19:56:24.000000,2020-11-11 19:56:23.000000,126,29.0,47.0,528,551.0,Public facing deeplift repo.,11.0,19,True,2018-07-13 21:11:52.000000,0.6.6,21.0,deeplift,,,,,48.0,44.0,https://pypi.org/project/deeplift,2020-11-11 09:32:57.000000,4.0,735.0,735.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n695,N2,kakao/n2,,nn-search,https://github.com/kakao/n2,https://github.com/kakao/n2,Apache-2.0,2017-11-23 02:27:59.000000,2020-10-21 05:15:27.000000,2020-10-21 05:14:11.000000,53,17.0,22.0,473,242.0,TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets.,17.0,19,True,2020-10-16 03:43:47.000000,0.1.7,9.0,n2,,,,,19.0,15.0,https://pypi.org/project/n2,2020-10-16 03:10:01.000000,4.0,2516.0,2516.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n696,PyKEEN,pykeen/pykeen,,graph,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000000,2021-05-13 14:48:06.000000,2021-05-13 14:37:40.000000,63,65.0,120.0,409,2389.0,A Python library for learning and evaluating knowledge graph embeddings.,18.0,19,True,2021-03-04 16:07:36.000000,1.4.0,35.0,pykeen,,,,,2.0,,https://pypi.org/project/pykeen,2021-02-15 14:13:30.000000,2.0,577.0,584.0,,,,,,,,3.0,79.0,,,,,,,,,,,,,,,,,,,,,,\n697,Orbit,uber/orbit,,probabilistics,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000000,2021-05-13 00:03:42.000000,2021-04-28 19:22:31.000000,29,19.0,181.0,405,619.0,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,10.0,19,True,2021-04-03 01:15:52.000000,1.0.13,12.0,orbit-ml,,,,,4.0,4.0,https://pypi.org/project/orbit-ml,2021-04-03 01:15:52.000000,,385.0,385.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n698,animatplot,t-makaro/animatplot,,data-viz,https://github.com/t-makaro/animatplot,https://github.com/t-makaro/animatplot,MIT,2017-04-03 00:54:04.000000,2021-04-07 10:46:25.000000,2020-10-05 06:14:18.000000,32,17.0,16.0,364,178.0,A python package for animating plots build on matplotlib.,7.0,19,True,2020-10-05 06:20:52.000000,0.4.2,10.0,animatplot,conda-forge/animatplot,,,,16.0,14.0,https://pypi.org/project/animatplot,2020-10-05 06:20:52.000000,2.0,593.0,805.0,https://anaconda.org/conda-forge/animatplot,2020-10-06 02:02:00.460000,5741.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n699,MXBoard,awslabs/mxboard,,ml-experiments,https://github.com/awslabs/mxboard,https://github.com/awslabs/mxboard,Apache-2.0,2018-02-06 23:03:51.000000,2020-01-24 23:21:56.000000,2020-01-24 23:21:55.000000,46,16.0,15.0,331,42.0,Logging MXNet data for visualization in TensorBoard.,9.0,19,False,2018-05-22 20:25:51.000000,0.1.0,12.0,mxboard,,,,['mxnet'],116.0,104.0,https://pypi.org/project/mxboard,2018-05-22 20:25:51.000000,12.0,2127.0,2127.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n700,rrcf,kLabUM/rrcf,,others,https://github.com/kLabUM/rrcf,https://github.com/kLabUM/rrcf,MIT,2018-10-20 05:39:05.000000,2021-01-13 23:05:23.000000,2020-06-10 01:07:39.000000,74,19.0,17.0,302,253.0,Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams.,4.0,19,True,2020-06-10 01:53:55.000000,0.4.3,7.0,rrcf,,,,,19.0,19.0,https://pypi.org/project/rrcf,2020-06-10 01:53:55.000000,0.0,3840.0,3840.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n701,pandas-ml,pandas-ml/pandas-ml,,others,https://github.com/pandas-ml/pandas-ml,https://github.com/pandas-ml/pandas-ml,BSD-3-Clause,2015-02-21 03:14:04.000000,2020-08-14 12:29:33.000000,2019-03-05 01:36:55.000000,60,24.0,17.0,271,153.0,\"pandas, scikit-learn, xgboost and seaborn integration.\",4.0,19,False,2019-03-05 01:36:12.000000,0.6.1,9.0,pandas-ml,,,,\"['sklearn', 'pandas']\",10.0,,https://pypi.org/project/pandas-ml,2019-03-05 01:35:23.000000,10.0,6161.0,6161.0,,,,,,,,3.0,5.0,,,,,,,,,,,,,,,,,,,,,,\n702,sk-dist,Ibotta/sk-dist,,distributed-ml,https://github.com/Ibotta/sk-dist,https://github.com/Ibotta/sk-dist,Apache-2.0,2019-08-14 21:07:17.000000,2021-03-01 23:05:15.000000,2021-03-01 23:05:11.000000,45,7.0,9.0,264,47.0,Distributed scikit-learn meta-estimators in PySpark.,6.0,19,True,2020-05-14 22:20:14.000000,0.1.9,12.0,sk-dist,,,,\"['sklearn', 'spark']\",8.0,6.0,https://pypi.org/project/sk-dist,2020-05-14 22:20:14.000000,2.0,9745.0,9745.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n703,pyfasttext,vrasneur/pyfasttext,,nlp,https://github.com/vrasneur/pyfasttext,https://github.com/vrasneur/pyfasttext,GPL-3.0,2017-06-30 18:44:42.000000,2018-12-08 15:32:09.000000,2018-12-08 15:02:12.000000,30,21.0,28.0,229,153.0,Yet another Python binding for fastText.,4.0,19,False,2018-12-08 15:32:09.000000,0.4.6,13.0,pyfasttext,,,,,167.0,154.0,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09.000000,13.0,3708.0,3715.0,,,,,,,,3.0,326.0,,,,,,,,,,,,,,,,,,,,,,\n704,fletcher,xhochy/fletcher,,data-containers,https://github.com/xhochy/fletcher,https://github.com/xhochy/fletcher,MIT,2018-03-04 16:44:22.000000,2021-02-18 14:46:18.000000,2021-02-18 14:46:18.000000,33,34.0,40.0,213,520.0,Pandas ExtensionDType/Array backed by Apache Arrow.,24.0,19,True,2021-01-17 20:11:01.000000,0.7.2,16.0,fletcher,conda-forge/fletcher,,,['pandas'],3.0,3.0,https://pypi.org/project/fletcher,2021-01-17 20:11:01.000000,0.0,246.0,935.0,https://anaconda.org/conda-forge/fletcher,2021-01-17 21:23:17.140000,23450.0,,,,,3.0,12.0,,,,,,,,-2.0,,,,,,,,,,,,,,\n705,pymap3d,geospace-code/pymap3d,,geospatial-data,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03.000000,2021-04-13 11:02:07.764000,2021-04-13 05:26:01.000000,60,2.0,24.0,187,,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,10.0,19,True,2021-04-13 05:29:45.000000,2.6.1,48.0,pymap3d,conda-forge/pymap3d,,,,6.0,,https://pypi.org/project/pymap3d,2021-03-21 04:53:39.000000,6.0,42112.0,42760.0,https://anaconda.org/conda-forge/pymap3d,2021-04-13 11:02:07.764000,9081.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n706,Muda,bmcfee/muda,,audio,https://github.com/bmcfee/muda,https://github.com/bmcfee/muda,ISC,2014-11-07 21:21:22.000000,2021-05-03 14:04:37.000000,2021-05-03 14:04:36.000000,33,5.0,44.0,182,293.0,A library for augmenting annotated audio data.,7.0,19,True,2019-11-15 15:46:21.000000,0.4.1,11.0,muda,,,,,10.0,9.0,https://pypi.org/project/muda,2019-11-15 15:46:21.000000,1.0,229.0,229.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n707,gokart,m3dev/gokart,,ml-experiments,https://github.com/m3dev/gokart,https://github.com/m3dev/gokart,MIT,2018-12-23 07:40:27.000000,2021-05-11 11:37:45.000000,2021-05-11 11:37:42.000000,32,9.0,35.0,182,411.0,\"Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning..\",26.0,19,True,2021-04-26 01:41:26.000000,1.0.0,56.0,gokart,,,,,2.0,,https://pypi.org/project/gokart,2020-02-25 06:01:19.000000,2.0,769.0,769.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n708,Funsor,pyro-ppl/funsor,,probabilistics,https://github.com/pyro-ppl/funsor,https://github.com/pyro-ppl/funsor,Apache-2.0,2019-01-30 23:13:39.000000,2021-05-12 23:08:42.000000,2021-05-12 23:08:42.000000,15,70.0,67.0,170,534.0,Functional tensors for probabilistic programming.,9.0,19,True,2021-01-24 17:27:54.000000,0.4.0,6.0,funsor,,,,['pytorch'],13.0,13.0,https://pypi.org/project/funsor,2021-01-24 17:26:50.000000,0.0,472.0,472.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n709,flupy,olirice/flupy,,data-pipelines,https://github.com/olirice/flupy,https://github.com/olirice/flupy,MIT,2018-01-06 16:46:04.000000,2021-03-09 13:15:35.000000,2021-03-09 13:15:26.000000,9,,7.0,156,177.0,Fluent data pipelines for python and your shell.,4.0,19,True,2021-01-06 12:37:15.000000,1.1.6,34.0,flupy,,,,,0.0,,https://pypi.org/project/flupy,2021-01-06 12:37:15.000000,0.0,36963.0,36963.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n710,nvidia-ml-py3,nicolargo/nvidia-ml-py3,,gpu-utilities,https://github.com/nicolargo/nvidia-ml-py3,https://github.com/nicolargo/nvidia-ml-py3,BSD-3-Clause,2017-06-03 07:47:03.000000,2019-03-06 20:41:10.000000,2019-03-06 20:41:09.000000,14,2.0,,66,5.0,Python 3 Bindings for the NVIDIA Management Library.,2.0,19,False,2017-06-03 07:43:46.000000,7.352.0,1.0,nvidia-ml-py3,,,,,3451.0,3231.0,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46.000000,220.0,713242.0,713242.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n711,graph-nets,deepmind/graph_nets,,graph,https://github.com/deepmind/graph_nets,https://github.com/deepmind/graph_nets,Apache-2.0,2018-08-31 08:19:28.000000,2020-12-04 17:43:48.000000,2020-12-04 17:43:47.000000,733,8.0,108.0,4879,47.0,Build Graph Nets in Tensorflow.,10.0,18,True,2020-01-29 16:00:25.000000,1.1.0,7.0,graph-nets,,,,['tensorflow'],7.0,,https://pypi.org/project/graph-nets,2020-01-29 16:00:25.000000,7.0,986.0,986.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n712,LIT,PAIR-code/lit,,interpretability,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000000,2021-05-12 17:18:34.000000,2021-04-05 17:58:30.000000,255,48.0,42.0,2528,,The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and..,14.0,18,True,2021-04-05 19:14:45.000000,0.3,5.0,lit-nlp,,,,,3.0,3.0,https://pypi.org/project/lit-nlp,2021-04-05 19:12:37.000000,,378.0,378.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n713,Kashgari,BrikerMan/Kashgari,,nlp,https://github.com/BrikerMan/Kashgari,https://github.com/BrikerMan/Kashgari,Apache-2.0,2019-01-19 01:53:28.000000,2021-05-05 13:40:19.000000,2021-03-21 02:20:20.000000,394,34.0,315.0,2098,,Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-..,19.0,18,True,2020-10-30 12:37:01.000000,2.0.1,23.0,kashgari-tf,,,,['tensorflow'],34.0,32.0,https://pypi.org/project/kashgari-tf,2019-10-18 07:57:55.000000,2.0,118.0,118.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n714,riko,nerevu/riko,,data-pipelines,https://github.com/nerevu/riko,https://github.com/nerevu/riko,MIT,2016-06-02 12:22:51.000000,2020-08-14 18:29:28.000000,2020-08-14 16:47:45.000000,72,22.0,8.0,1563,1257.0,A Python stream processing engine modeled after Yahoo! Pipes.,18.0,18,True,2020-08-14 18:29:28.000000,0.66.0,58.0,riko,,,,,1.0,,https://pypi.org/project/riko,2020-08-14 18:29:28.000000,1.0,160.0,160.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n715,Lambda Networks,lucidrains/lambda-networks,,pytorch-utils,https://github.com/lucidrains/lambda-networks,https://github.com/lucidrains/lambda-networks,MIT,2020-10-08 19:01:15.000000,2020-11-18 19:54:34.000000,2020-11-18 19:54:30.000000,153,12.0,15.0,1457,,\"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.\",3.0,18,True,2020-11-18 08:19:23.000000,0.4.0,11.0,lambda-networks,,,,['pytorch'],3.0,3.0,https://pypi.org/project/lambda-networks,2020-11-18 08:19:23.000000,,2040.0,2040.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n716,Antialiased CNNs,adobe/antialiased-cnns,,pytorch-utils,https://github.com/adobe/antialiased-cnns,https://github.com/adobe/antialiased-cnns,CC BY-NC-SA 4.0,2019-05-14 20:51:25.000000,2021-03-01 18:01:57.000000,2020-10-22 19:40:07.000000,177,9.0,31.0,1377,238.0,pip install antialiased-cnns to improve stability and accuracy.,6.0,18,False,2020-10-23 22:45:52.000000,0.3,6.0,antialiased-cnns,,,,['pytorch'],,,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49.000000,,1413.0,1413.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n717,Backtesting.py,kernc/backtesting.py,,financial-data,https://github.com/kernc/backtesting.py,https://github.com/kernc/backtesting.py,AGPL-3.0,2019-01-02 03:11:32.000000,2021-04-30 18:02:05.000000,2021-04-29 23:59:19.000000,296,27.0,195.0,1313,230.0,Backtest trading strategies in Python.,13.0,18,False,2017-07-22 02:00:06.000000,0.0.1,1.0,backtesting,,,,,2.0,,https://pypi.org/project/backtesting,2017-07-22 02:00:06.000000,2.0,5269.0,5269.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n718,doc2text,jlsutherland/doc2text,,ocr,https://github.com/jlsutherland/doc2text,https://github.com/jlsutherland/doc2text,MIT,2016-08-28 19:30:02.000000,2020-12-01 22:56:27.000000,2020-12-01 22:56:26.000000,93,12.0,9.0,1236,62.0,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,5.0,18,True,2016-09-06 21:59:21.000000,0.2.4,5.0,doc2text,,,,,36.0,36.0,https://pypi.org/project/doc2text,2016-09-06 21:59:21.000000,,551.0,551.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n719,Paddle Graph Learning,PaddlePaddle/PGL,,graph,https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28.000000,2021-05-13 03:05:55.000000,2021-05-13 03:05:55.000000,145,26.0,38.0,1002,,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,16.0,18,True,2021-05-12 05:13:54.000000,2.1.4,12.0,pgl,,,,['paddle'],16.0,14.0,https://pypi.org/project/pgl,2021-05-12 05:13:54.000000,2.0,846.0,846.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n720,Norfair,tryolabs/norfair,,image,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000000,2021-04-08 03:05:28.000000,2021-03-16 21:10:22.000000,64,5.0,17.0,985,264.0,Lightweight Python library for adding real-time 2D object tracking to any detector.,8.0,18,True,2021-02-17 21:29:11.000000,0.2.0,10.0,norfair,,,,,,,https://pypi.org/project/norfair,2021-02-17 21:29:11.000000,,795.0,795.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n721,Bounter,RaRe-Technologies/bounter,,data-containers,https://github.com/RaRe-Technologies/bounter,https://github.com/RaRe-Technologies/bounter,MIT,2017-07-18 07:24:15.000000,2020-08-17 06:37:51.000000,2020-08-16 11:55:16.000000,48,11.0,9.0,900,152.0,Efficient Counter that uses a limited (bounded) amount of memory regardless of data size.,8.0,18,True,2020-08-17 06:37:51.000000,1.1.1,7.0,bounter,,,,,36.0,22.0,https://pypi.org/project/bounter,2020-08-17 06:37:51.000000,14.0,199.0,199.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n722,pytorch_geometric_temporal,benedekrozemberczki/pytorch_geometric_temporal,,graph,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,MIT,2020-06-27 01:11:33.000000,2021-05-10 21:46:20.000000,2021-05-10 21:27:31.000000,88,,30.0,708,1523.0,A Temporal Extension Library for PyTorch Geometric.,9.0,18,True,2021-05-10 21:46:21.000000,_00032,30.0,torch-geometric-temporal,,,,['pytorch'],,,https://pypi.org/project/torch-geometric-temporal,2021-05-10 21:27:54.000000,,789.0,789.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n723,RLax,deepmind/rlax,,reinforcement-learning,https://github.com/deepmind/rlax,https://github.com/deepmind/rlax,Apache-2.0,2020-02-18 07:14:59.000000,2021-04-13 14:59:15.000000,2021-04-13 14:58:46.000000,47,3.0,4.0,593,109.0,A library of reinforcement learning building blocks in JAX.,11.0,18,True,2020-02-19 23:01:30.000000,0.1.0,3.0,rlax,,,,['jax'],16.0,16.0,https://pypi.org/project/rlax,2020-02-19 23:01:30.000000,,558.0,558.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n724,Dragonfly,dragonfly/dragonfly,,hyperopt,https://github.com/dragonfly/dragonfly,https://github.com/dragonfly/dragonfly,MIT,2018-04-20 22:19:50.000000,2020-07-26 17:44:31.000000,2020-07-03 18:01:17.000000,78,25.0,17.0,579,397.0,An open source python library for scalable Bayesian optimisation.,12.0,18,True,2020-07-03 18:05:12.000000,0.1.6,9.0,dragonfly-opt,,,,,2.0,,https://pypi.org/project/dragonfly-opt,2020-07-03 18:05:12.000000,2.0,16537.0,16537.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n725,SKLL,EducationalTestingService/skll,,ml-experiments,https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,BSD-1-Clause,2013-08-02 14:31:46.000000,2021-04-30 14:40:15.000000,2021-04-30 14:40:12.000000,64,37.0,348.0,526,,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,35.0,18,False,2021-02-26 03:01:01.000000,2.5,64.0,skll,,,,['sklearn'],47.0,30.0,https://pypi.org/project/skll,2020-03-13 16:23:35.000000,17.0,471.0,471.0,,,,,,,,3.0,10.0,,,,,,,,,,,,,,,,,,,,,,\n726,TF Compression,tensorflow/compression,,tensorflow-utils,https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19.000000,2021-04-23 17:44:59.000000,2021-04-23 15:44:13.000000,171,,64.0,477,170.0,Data compression in TensorFlow.,10.0,18,True,2021-03-11 09:05:35.000000,2.1,10.0,tensorflow-compression,,,,['tensorflow'],1.0,,https://pypi.org/project/tensorflow-compression,2021-03-11 09:00:48.000000,1.0,1019.0,1019.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n727,tcav,tensorflow/tcav,,interpretability,https://github.com/tensorflow/tcav,https://github.com/tensorflow/tcav,Apache-2.0,2018-07-03 17:45:35.000000,2021-05-08 18:42:03.000000,2021-05-07 12:33:34.000000,109,2.0,47.0,460,164.0,Code for the TCAV ML interpretability project.,19.0,18,True,2021-02-23 16:17:42.000000,0.2.2,4.0,tcav,,,,['tensorflow'],8.0,6.0,https://pypi.org/project/tcav,2021-02-23 16:17:42.000000,2.0,143.0,143.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n728,Baal,ElementAI/baal,,probabilistics,https://github.com/ElementAI/baal,https://github.com/ElementAI/baal,Apache-2.0,2019-09-30 20:16:26.000000,2021-05-13 13:25:06.000000,2021-04-22 12:41:09.000000,32,13.0,31.0,351,106.0,Using approximate bayesian posteriors in deep nets for active learning.,8.0,18,True,2021-03-16 13:48:22.000000,1.3.0,8.0,baal,,,,,8.0,8.0,https://pypi.org/project/baal,2021-03-16 13:38:39.000000,,273.0,273.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n729,tick,X-DataInitiative/tick,,time-series-data,https://github.com/X-DataInitiative/tick,https://github.com/X-DataInitiative/tick,BSD-3-Clause,2016-12-01 10:59:08.000000,2020-08-11 12:36:43.000000,2020-06-15 12:01:36.000000,77,55.0,160.0,336,413.0,\"Module for statistical learning, with a particular emphasis on time-dependent modelling.\",16.0,18,True,2019-09-11 11:25:15.000000,0.6,23.0,tick,,,,,34.0,33.0,https://pypi.org/project/tick,2020-05-24 22:01:17.000000,1.0,1167.0,1170.0,,,,,,,,3.0,159.0,,,,,,,,,,,,,,,,,,,,,,\n730,Camphr,PKSHATechnology-Research/camphr,,nlp,https://github.com/PKSHATechnology-Research/camphr,https://github.com/PKSHATechnology-Research/camphr,Apache-2.0,2020-02-10 03:39:58.000000,2021-05-13 09:45:05.000000,2021-05-13 07:42:53.000000,17,12.0,22.0,328,1245.0,\"spaCy plugin for Transformers , Udify, ELmo, etc.\",7.0,18,True,2021-03-05 10:59:35.000000,0.8.8,45.0,camphr,,,,['spacy'],0.0,,https://pypi.org/project/camphr,2021-03-05 10:59:35.000000,0.0,375.0,375.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n731,apricot,jmschrei/apricot,,others,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12.000000,2021-02-18 03:37:56.000000,2021-02-18 03:37:55.000000,29,3.0,14.0,313,167.0,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,2.0,18,True,2020-09-28 07:19:15.000000,0.6.0,13.0,apricot-select,,,,,16.0,16.0,https://pypi.org/project/apricot-select,2020-09-28 07:19:15.000000,0.0,1449.0,1449.0,,,,,,,,3.0,8.0,,,,,,,,,,,,,,,,,,,,,,\n732,Sherpa,sherpa-ai/sherpa,,hyperopt,https://github.com/sherpa-ai/sherpa,https://github.com/sherpa-ai/sherpa,GPL-3.0,2018-05-16 21:41:54.000000,2020-10-18 07:57:50.000000,2020-10-18 07:57:48.000000,44,12.0,41.0,294,823.0,\"Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.\",43.0,18,False,2020-07-31 05:29:09.000000,1.0.7,8.0,parameter-sherpa,,,,,13.0,11.0,https://pypi.org/project/parameter-sherpa,2019-11-23 21:32:27.000000,2.0,382.0,382.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n733,scikit-tda,scikit-tda/scikit-tda,,sklearn-utils,https://github.com/scikit-tda/scikit-tda,https://github.com/scikit-tda/scikit-tda,MIT,2018-04-13 21:00:31.000000,2021-01-09 19:51:04.000000,2021-01-09 19:50:05.000000,32,11.0,4.0,284,56.0,Topological Data Analysis for Python.,2.0,18,True,2021-01-09 19:51:04.000000,0.1.0,3.0,scikit-tda,,,,['sklearn'],20.0,20.0,https://pypi.org/project/scikit-tda,2021-01-09 19:51:04.000000,,2386.0,2386.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n734,recmetrics,statisticianinstilettos/recmetrics,,recommender-systems,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49.000000,2020-12-03 21:21:02.000000,2020-12-03 21:21:00.000000,60,5.0,7.0,264,233.0,A library of metrics for evaluating recommender systems.,12.0,18,True,2019-03-05 04:11:15.000000,0.0.12,14.0,recmetrics,,,,,19.0,19.0,https://pypi.org/project/recmetrics,2019-03-05 04:11:15.000000,,353.0,353.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n735,Auto TS,AutoViML/Auto_TS,,time-series-data,https://github.com/AutoViML/Auto_TS,https://github.com/AutoViML/Auto_TS,Apache-2.0,2020-02-15 15:23:32.000000,2021-03-14 19:58:41.000000,2021-03-14 19:58:35.000000,43,10.0,31.0,230,234.0,\"Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of..\",6.0,18,True,2021-03-14 04:16:59.000000,0.0.36,15.0,auto-ts,,,,,,,https://pypi.org/project/auto-ts,2021-03-14 04:16:59.000000,,1021.0,1021.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n736,somoclu,peterwittek/somoclu,,distributed-ml,https://github.com/peterwittek/somoclu,https://github.com/peterwittek/somoclu,MIT,2013-01-16 06:33:16.000000,2020-10-13 18:39:07.609000,2020-07-24 13:00:47.000000,56,26.0,104.0,227,590.0,\"Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters.\",17.0,18,True,2018-03-03 02:44:37.000000,1.7.5,17.0,somoclu,conda-forge/somoclu,,,,4.0,,https://pypi.org/project/somoclu,2020-04-25 05:33:32.000000,4.0,1094.0,2164.0,https://anaconda.org/conda-forge/somoclu,2020-10-13 18:39:07.609000,47299.0,,,,,3.0,1466.0,,,,,,,,,,,,,,,,,,,,,,\n737,imodels,csinva/imodels,,interpretability,https://github.com/csinva/imodels,https://github.com/csinva/imodels,MIT,2019-07-04 15:38:48.000000,2021-05-13 10:04:19.000000,2021-05-13 10:02:31.000000,20,,11.0,214,335.0,\"Interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible).\",3.0,18,True,2021-03-11 18:51:58.000000,0.2.8,8.0,imodels,,,,,7.0,7.0,https://pypi.org/project/imodels,2021-03-11 18:44:07.000000,,315.0,315.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n738,fairness-indicators,tensorflow/fairness-indicators,,interpretability,https://github.com/tensorflow/fairness-indicators,https://github.com/tensorflow/fairness-indicators,Apache-2.0,2019-09-30 22:56:45.000000,2021-05-10 23:11:35.000000,2021-05-10 23:11:26.000000,56,13.0,7.0,198,258.0,Tensorflow's Fairness Evaluation and Visualization Toolkit.,20.0,18,True,2021-04-08 23:26:49.000000,0.29.0,15.0,fairness-indicators,,,,\"['tensorflow', 'jupyter']\",,,https://pypi.org/project/fairness-indicators,2021-04-08 23:26:49.000000,,739.0,739.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n739,BatchFlow,analysiscenter/batchflow,,data-pipelines,https://github.com/analysiscenter/batchflow,https://github.com/analysiscenter/batchflow,Apache-2.0,2017-03-13 14:22:53.000000,2021-05-13 14:26:11.000000,2021-04-22 12:57:56.000000,36,46.0,64.0,158,4460.0,BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and..,29.0,18,True,2021-03-05 13:23:43.000000,0.5.0beta3,6.0,batchflow,,,,,,,https://pypi.org/project/batchflow,2021-03-05 13:45:58.000000,,77.0,77.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n740,Larq Compute Engine,larq/compute-engine,,model-serialisation,https://github.com/larq/compute-engine,https://github.com/larq/compute-engine,Apache-2.0,2019-08-29 15:02:43.000000,2021-05-12 08:35:28.000000,2021-04-26 17:52:18.000000,22,25.0,92.0,144,469.0,Highly optimized inference engine for Binarized Neural Networks.,15.0,18,False,2021-01-30 03:07:11.000000,0.5.0,12.0,larq-compute-engine,,,,,2.0,2.0,https://pypi.org/project/larq-compute-engine,2021-01-30 03:07:11.000000,,3800.0,3814.0,,,,,,,,3.0,212.0,,,,,,,,,,,,,,,,,,,,,,\n741,DeepMind Lab,deepmind/lab,,reinforcement-learning,https://github.com/deepmind/lab,https://github.com/deepmind/lab,GPL-2.0,2016-11-30 13:41:26.000000,2021-04-16 19:55:45.000000,2021-03-04 17:39:30.000000,1310,39.0,157.0,6447,481.0,A customisable 3D platform for agent-based AI research.,7.0,17,False,2020-12-07 11:26:33.000000,release-2020-12-07,8.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n742,ReAgent,facebookresearch/ReAgent,,reinforcement-learning,https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000000,2021-05-13 07:17:37.000000,2021-05-13 07:17:12.000000,395,20.0,75.0,2888,1191.0,\"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).\",96.0,17,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n743,Spotlight,maciejkula/spotlight,,recommender-systems,https://github.com/maciejkula/spotlight,https://github.com/maciejkula/spotlight,MIT,2017-06-25 18:52:19.000000,2020-11-15 08:21:28.000000,2020-02-09 21:03:48.000000,372,67.0,48.0,2486,299.0,Deep recommender models using PyTorch.,11.0,17,False,2019-09-08 10:19:53.000000,0.1.6,7.0,,maciejkula/spotlight,,,['pytorch'],,,,,,,131.0,https://anaconda.org/maciejkula/spotlight,2018-05-27 18:32:12.235000,6202.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n744,opyrator,ml-tooling/opyrator,,others,https://github.com/ml-tooling/opyrator,https://github.com/ml-tooling/opyrator,MIT,2021-04-06 08:09:06.000000,2021-05-10 11:54:14.000000,2021-05-06 12:10:38.000000,75,14.0,6.0,2061,,\"Turns your machine learning code into microservices with web API, interactive GUI, and more.\",4.0,17,True,2021-05-04 18:48:03.000000,0.0.12,11.0,opyrator,,,,,5.0,5.0,https://pypi.org/project/opyrator,2021-05-04 18:48:03.000000,,1060.0,1060.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,True\n745,spark-deep-learning,databricks/spark-deep-learning,,data-pipelines,https://github.com/databricks/spark-deep-learning,https://github.com/databricks/spark-deep-learning,Apache-2.0,2017-05-31 17:30:28.000000,2021-01-20 15:05:13.000000,2021-01-20 15:00:20.000000,444,73.0,27.0,1837,135.0,Deep Learning Pipelines for Apache Spark.,15.0,17,True,2020-01-08 19:50:31.000000,1.6.0,9.0,,,,,['spark'],17.0,17.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n746,BlazingSQL,BlazingDB/blazingsql,,gpu-utilities,https://github.com/BlazingDB/blazingsql,https://github.com/BlazingDB/blazingsql,Apache-2.0,2018-09-24 18:25:45.000000,2021-05-13 15:18:45.000000,2021-05-12 13:56:34.000000,139,129.0,565.0,1499,,\"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.\",42.0,17,True,2021-04-21 21:35:59.000000,0.19.0,17.0,,blazingsql/blazingsql-protocol,,,,,,,,,,46.0,https://anaconda.org/blazingsql/blazingsql-protocol,2019-11-11 19:54:17.621000,920.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n747,Advisor,tobegit3hub/advisor,,hyperopt,https://github.com/tobegit3hub/advisor,https://github.com/tobegit3hub/advisor,Apache-2.0,2017-09-14 03:50:33.000000,2019-11-11 07:09:57.869705,2019-11-11 06:59:31.000000,249,20.0,13.0,1372,165.0,Open-source implementation of Google Vizier for hyper parameters tuning.,11.0,17,False,2018-10-18 02:54:09.000000,0.1.6,4.0,advisor,,tobegit3hub/advisor,,,,,https://pypi.org/project/advisor,2018-10-18 02:54:09.000000,,55.0,91.0,,,,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1593.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n748,zenml,maiot-io/zenml,,data-pipelines,https://github.com/maiot-io/zenml,https://github.com/maiot-io/zenml,Apache-2.0,2020-11-19 09:25:46.000000,2021-05-12 14:55:46.000000,2021-05-07 13:00:14.000000,59,16.0,29.0,1145,,ZenML : MLOps framework to create reproducible ML pipelines for production machine learning.,12.0,17,True,2021-04-22 15:43:15.000000,0.3.7,27.0,zenml,,,,,1.0,1.0,https://pypi.org/project/zenml,2021-04-22 15:31:43.000000,,448.0,448.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n749,aim,aimhubio/aim,,ml-experiments,https://github.com/aimhubio/aim,https://github.com/aimhubio/aim,Apache-2.0,2019-05-31 18:25:07.000000,2021-05-12 06:18:33.000000,2021-05-11 07:09:14.000000,63,106.0,71.0,1131,,\"Aim a super-easy way to record, search and compare 1000s of ML training runs.\",10.0,17,True,2019-11-06 08:06:11.000000,3.1.0,48.0,aim,,,,,2.0,,https://pypi.org/project/aim,2021-04-10 15:12:54.000000,2.0,5390.0,5390.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n750,AdvBox,advboxes/AdvBox,,adversarial,https://github.com/advboxes/AdvBox,https://github.com/advboxes/AdvBox,Apache-2.0,2018-08-08 08:55:41.000000,2021-05-03 22:51:52.000000,2021-05-03 22:51:52.000000,232,8.0,28.0,1090,375.0,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,19.0,17,True,2018-12-05 02:48:50.000000,0.4.1,2.0,advbox,,,,,,,https://pypi.org/project/advbox,2018-12-05 02:48:50.000000,,57.0,57.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n751,CrypTen,facebookresearch/CrypTen,,privacy-ml,https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000000,2021-05-13 13:22:29.000000,2021-05-11 20:05:53.000000,112,27.0,42.0,787,258.0,A framework for Privacy Preserving Machine Learning.,23.0,17,True,2020-04-21 13:59:37.000000,0.1,1.0,crypten,,,,['pytorch'],7.0,7.0,https://pypi.org/project/crypten,2020-02-05 18:53:03.000000,,197.0,197.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n752,MedicalTorch,perone/medicaltorch,,medical-data,https://github.com/perone/medicaltorch,https://github.com/perone/medicaltorch,Apache-2.0,2018-02-27 02:50:07.000000,2021-04-16 18:50:54.000000,2021-04-16 18:50:54.000000,108,14.0,9.0,731,57.0,A medical imaging framework for Pytorch.,8.0,17,True,2018-11-24 00:33:11.000000,0.2,2.0,medicaltorch,,,,['pytorch'],10.0,10.0,https://pypi.org/project/medicaltorch,2018-11-24 00:29:36.000000,,191.0,191.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n753,cuGraph,rapidsai/cugraph,,gpu-utilities,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000000,2021-05-13 14:35:34.000000,2021-05-13 14:35:34.000000,149,111.0,540.0,706,,cuGraph - RAPIDS Graph Analytics Library.,61.0,17,True,2021-04-21 19:49:25.000000,0.19.0,8.0,cugraph,,,,,0.0,,https://pypi.org/project/cugraph,2020-06-01 20:09:06.000000,0.0,99.0,99.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n754,ADTK,arundo/adtk,,time-series-data,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22.000000,2020-04-29 19:54:40.000000,2020-04-17 02:27:44.000000,84,24.0,31.0,656,78.0,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,11.0,17,False,2020-04-17 02:18:00.000000,0.6.2,13.0,adtk,,,,,,,https://pypi.org/project/adtk,2020-04-17 02:18:00.000000,,45510.0,45510.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n755,sklearn-deap,rsteca/sklearn-deap,,hyperopt,https://github.com/rsteca/sklearn-deap,https://github.com/rsteca/sklearn-deap,MIT,2015-10-28 22:52:34.000000,2019-12-03 13:29:06.000000,2019-12-03 13:29:04.000000,108,21.0,31.0,636,98.0,Use evolutionary algorithms instead of gridsearch in scikit-learn.,20.0,17,False,2019-07-15 09:24:09.000000,0.2.4,13.0,sklearn-deap,,,,['sklearn'],27.0,25.0,https://pypi.org/project/sklearn-deap,2019-07-15 09:24:09.000000,2.0,615.0,615.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n756,Tensor Sensor,parrt/tensor-sensor,,pytorch-utils,https://github.com/parrt/tensor-sensor,https://github.com/parrt/tensor-sensor,MIT,2020-08-28 22:54:04.000000,2021-04-29 17:21:54.000000,2021-04-29 17:21:51.000000,26,5.0,12.0,550,160.0,The goal of this library is to generate more helpful exception messages for numpy/pytorch matrix algebra expressions.,2.0,17,True,2020-12-03 20:46:15.000000,0.1.1,34.0,tensor-sensor,,,,['pytorch'],2.0,2.0,https://pypi.org/project/tensor-sensor,2020-12-03 20:45:09.000000,,216.0,216.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n757,Vulkan Kompute,EthicalML/vulkan-kompute,,gpu-utilities,https://github.com/EthicalML/vulkan-kompute,https://github.com/EthicalML/vulkan-kompute,Apache-2.0,2020-07-29 05:23:33.000000,2021-05-11 18:19:44.000000,2021-05-11 08:56:44.000000,31,47.0,94.0,389,857.0,\"General purpose GPU compute framework for cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast,..\",11.0,17,True,2021-03-14 16:03:43.000000,0.7.0,11.0,kp,,,,,2.0,2.0,https://pypi.org/project/kp,2021-03-14 15:37:22.000000,,136.0,142.0,,,,,,,,3.0,54.0,,,,,,,,,,,,,,,,,,,,,,\n758,Sematch,gsi-upm/sematch,,graph,https://github.com/gsi-upm/sematch,https://github.com/gsi-upm/sematch,Apache-2.0,2012-11-30 11:11:53.000000,2020-11-05 21:20:52.000000,2019-03-27 03:17:24.000000,98,14.0,19.0,350,122.0,semantic similarity framework for knowledge graph.,5.0,17,False,2017-04-17 10:56:52.000000,1.0.4,5.0,sematch,,,,,32.0,29.0,https://pypi.org/project/sematch,2017-04-17 10:56:52.000000,3.0,176.0,176.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n759,pdvega,altair-viz/pdvega,,data-viz,https://github.com/altair-viz/pdvega,https://github.com/altair-viz/pdvega,MIT,2018-01-11 21:30:27.000000,2019-03-29 16:09:14.000000,2019-03-29 16:09:13.000000,29,16.0,10.0,340,177.0,Interactive plotting for Pandas using Vega-Lite.,9.0,17,False,,,1.0,pdvega,,,,,55.0,48.0,https://pypi.org/project/pdvega,2018-02-01 04:56:43.000000,7.0,157.0,157.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n760,Pywick,achaiah/pywick,,pytorch-utils,https://github.com/achaiah/pywick,https://github.com/achaiah/pywick,MIT,2019-03-25 15:42:47.000000,2021-05-06 15:39:49.000000,2021-05-06 15:39:49.000000,35,3.0,9.0,322,122.0,High-level batteries-included neural network training library for Pytorch.,4.0,17,True,2020-01-20 22:14:21.000000,0.5.6,6.0,pywick,,,,['pytorch'],3.0,3.0,https://pypi.org/project/pywick,2020-01-20 22:14:21.000000,,190.0,190.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n761,skift,shaypal5/skift,,nlp,https://github.com/shaypal5/skift,https://github.com/shaypal5/skift,MIT,2018-02-03 11:37:21.000000,2021-03-31 10:11:28.000000,2021-03-31 10:11:20.000000,22,2.0,8.0,216,129.0,scikit-learn wrappers for Python fastText.,7.0,17,True,2020-08-27 15:01:05.000000,0.0.19,15.0,skift,,,,['sklearn'],8.0,8.0,https://pypi.org/project/skift,2020-08-27 15:01:05.000000,,433.0,433.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n762,elegy,poets-ai/elegy,,ml-frameworks,https://github.com/poets-ai/elegy,https://github.com/poets-ai/elegy,Apache-2.0,2020-06-30 14:00:37.000000,2021-04-02 14:14:33.000000,2021-04-01 17:03:16.000000,12,21.0,37.0,211,299.0,Elegy is a framework-agnostic Trainer interface for the Jax ecosystem.,13.0,17,True,2021-03-10 18:59:02.000000,0.7.2,21.0,elegy,,,,\"['tensorflow', 'jax']\",,,https://pypi.org/project/elegy,2021-03-01 22:47:33.000000,,612.0,612.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n763,model-card-toolkit,tensorflow/model-card-toolkit,,interpretability,https://github.com/tensorflow/model-card-toolkit,https://github.com/tensorflow/model-card-toolkit,Apache-2.0,2020-07-24 16:48:58.000000,2021-05-12 22:23:50.000000,2021-05-03 23:30:35.000000,29,12.0,2.0,188,118.0,a tool that leverages rich metadata and lineage information in MLMD to build a model card.,9.0,17,True,2021-02-05 20:56:01.000000,0.1.3,4.0,model-card-toolkit,,,,,2.0,2.0,https://pypi.org/project/model-card-toolkit,2021-02-05 20:54:29.000000,,324.0,324.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n764,Julius,adefossez/julius,,audio,https://github.com/adefossez/julius,https://github.com/adefossez/julius,MIT,2020-10-26 10:54:21.000000,2021-04-26 17:36:33.000000,2021-04-26 17:34:54.000000,6,1.0,4.0,183,,Fast PyTorch based DSP for audio and 1D signals.,2.0,17,True,2021-03-03 09:48:59.000000,0.2.3,7.0,julius,,,,['pytorch'],12.0,12.0,https://pypi.org/project/julius,2021-03-03 09:48:59.000000,0.0,3010.0,3010.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n765,skggm,skggm/skggm,,sklearn-utils,https://github.com/skggm/skggm,https://github.com/skggm/skggm,MIT,2016-06-11 18:35:56.000000,2020-12-24 08:36:00.000000,2020-12-24 05:43:15.000000,31,28.0,47.0,178,691.0,Scikit-learn compatible estimation of general graphical models.,5.0,17,True,2018-09-12 01:12:49.000000,0.2.8,6.0,skggm,,,,['sklearn'],8.0,6.0,https://pypi.org/project/skggm,2018-09-12 01:12:49.000000,2.0,210.0,210.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n766,tinygrad,geohot/tinygrad,,pytorch-utils,https://github.com/geohot/tinygrad,https://github.com/geohot/tinygrad,MIT,2020-10-18 16:23:12.000000,2021-05-13 06:48:51.000000,2021-05-13 06:48:51.000000,487,19.0,63.0,4313,515.0,You like pytorch? You like micrograd? You love tinygrad!.,44.0,16,True,,,,,,,,['pytorch'],1.0,1.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n767,automl-gs,minimaxir/automl-gs,,hyperopt,https://github.com/minimaxir/automl-gs,https://github.com/minimaxir/automl-gs,MIT,2019-01-13 18:57:44.000000,2019-10-22 11:20:40.000000,2019-04-05 06:48:14.000000,164,26.0,6.0,1737,102.0,\"Provide an input CSV and a target field to predict, generate a model + code to run it.\",7.0,16,False,2019-04-05 06:51:04.000000,0.2.1,2.0,automl_gs,,,,,,,https://pypi.org/project/automl_gs,2019-04-05 06:47:54.000000,,30.0,30.0,,,,,,,,3.0,21.0,,,,,,,,,,,,,,,,,,,,,,\n768,Xcessiv,reiinakano/xcessiv,,hyperopt,https://github.com/reiinakano/xcessiv,https://github.com/reiinakano/xcessiv,Apache-2.0,2017-03-07 18:18:25.000000,2018-06-06 22:23:37.000000,2017-08-21 00:51:15.000000,109,22.0,13.0,1258,316.0,\"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.\",6.0,16,False,2017-08-21 00:53:25.000000,0.5.1,34.0,xcessiv,,,,,2.0,1.0,https://pypi.org/project/xcessiv,2017-08-21 00:49:41.000000,1.0,67.0,67.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n769,Botflow,kkyon/botflow,,data-pipelines,https://github.com/kkyon/botflow,https://github.com/kkyon/botflow,BSD-3-Clause,2018-08-20 03:13:31.000000,2020-12-31 09:03:22.000000,2019-05-23 14:40:50.000000,99,2.0,2.0,1168,192.0,\"Python Fast Dataflow programming framework for Data pipeline work( Web Crawler,Machine Learning,Quantitative..\",11.0,16,False,2018-09-14 14:38:32.000000,0.2.0,5.0,botflow,,,,,1.0,1.0,https://pypi.org/project/botflow,2018-09-14 14:38:32.000000,,51.0,51.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n770,sklearn-porter,nok/sklearn-porter,,model-serialisation,https://github.com/nok/sklearn-porter,https://github.com/nok/sklearn-porter,MIT,2016-06-22 22:21:34.000000,2021-02-28 20:44:14.000000,2019-12-18 13:31:50.000000,131,39.0,29.0,1037,699.0,\"Transpile trained scikit-learn estimators to C, Java, JavaScript and others.\",11.0,16,False,2019-12-18 13:39:19.000000,0.7.4,20.0,sklearn-porter,,,,['sklearn'],1.0,,https://pypi.org/project/sklearn-porter,2019-12-18 13:39:19.000000,1.0,822.0,822.0,,,,,,,,3.0,,,,,,,,,-2.0,,,,,,,,,,,,,,\n771,torchsde,google-research/torchsde,,pytorch-utils,https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11.000000,2021-05-12 01:21:40.000000,2021-05-12 01:21:37.000000,65,5.0,31.0,715,152.0,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,4.0,16,True,2021-01-05 18:31:38.000000,0.2.4,4.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n772,SpeedTorch,Santosh-Gupta/SpeedTorch,,gpu-utilities,https://github.com/Santosh-Gupta/SpeedTorch,https://github.com/Santosh-Gupta/SpeedTorch,MIT,2019-09-07 18:57:52.000000,2020-02-21 23:13:29.000000,2020-02-21 23:13:28.000000,37,3.0,2.0,619,170.0,Library for faster pinned CPU - GPU transfer in Pytorch.,3.0,16,False,2020-01-06 05:27:17.000000,0.1.6,14.0,SpeedTorch,,,,['pytorch'],5.0,3.0,https://pypi.org/project/SpeedTorch,2020-01-06 05:27:17.000000,2.0,121.0,121.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n773,Tez,abhishekkrthakur/tez,,pytorch-utils,https://github.com/abhi1thakur/tez,https://github.com/abhi1thakur/tez,Apache-2.0,2020-11-13 10:19:22.000000,2021-05-05 18:57:21.000000,2021-05-05 18:56:37.000000,78,12.0,7.0,600,,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,2.0,16,True,2021-05-05 18:57:21.000000,0.1.4,10.0,tez,,,,['pytorch'],6.0,6.0,https://pypi.org/project/tez,2021-05-05 18:57:21.000000,0.0,603.0,603.0,,,,,,,,3.0,,,,,,,,,,,,,abhi1thakur/tez,,,,,,,,,,\n774,ThunderGBM,Xtra-Computing/thundergbm,,ml-frameworks,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08.000000,2021-04-01 02:08:51.000000,2021-01-05 04:22:15.000000,75,21.0,28.0,592,606.0,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,10.0,16,True,2020-05-01 23:16:25.000000,0.3.16,24.0,thundergbm,,,,,,,https://pypi.org/project/thundergbm,2020-05-01 23:16:25.000000,,91.0,91.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n775,FlashTorch,MisaOgura/flashtorch,,interpretability,https://github.com/MisaOgura/flashtorch,https://github.com/MisaOgura/flashtorch,MIT,2019-03-22 13:00:57.000000,2021-04-27 12:50:10.000000,2021-04-27 11:10:20.000000,67,9.0,21.0,586,127.0,Visualization toolkit for neural networks in PyTorch! Demo --.,2.0,16,True,2020-05-29 14:39:38.000000,0.1.3,12.0,flashtorch,,,,['pytorch'],6.0,6.0,https://pypi.org/project/flashtorch,2020-05-29 14:38:32.000000,,226.0,226.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n776,Auto Tune Models,HDI-Project/ATM,,hyperopt,https://github.com/HDI-Project/ATM,https://github.com/HDI-Project/ATM,MIT,2016-10-14 18:03:00.000000,2020-02-21 17:44:07.000000,2020-02-21 17:40:58.000000,128,17.0,71.0,508,775.0,\"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).\",16.0,16,False,2019-07-30 09:28:26.000000,0.2.2,14.0,atm,,,,,6.0,6.0,https://pypi.org/project/atm,2019-07-30 09:25:11.000000,,90.0,90.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n777,datmo,datmo/datmo,,ml-experiments,https://github.com/datmo/datmo,https://github.com/datmo/datmo,MIT,2017-11-03 05:46:43.000000,2019-11-29 00:48:45.000000,2019-11-29 00:48:44.000000,28,42.0,149.0,334,1051.0,Open source production model management tool for data scientists.,6.0,16,False,2018-12-07 06:16:42.000000,0.0.40,41.0,datmo,,,,,5.0,5.0,https://pypi.org/project/datmo,2018-12-07 06:16:42.000000,,91.0,91.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n778,VizSeq,facebookresearch/vizseq,,nlp,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38.000000,2021-05-10 23:05:06.000000,2021-05-10 23:05:03.000000,40,7.0,8.0,330,47.0,\"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).\",3.0,16,True,2020-08-07 01:13:52.000000,0.1.15,16.0,vizseq,,,,,2.0,2.0,https://pypi.org/project/vizseq,2020-08-07 01:13:52.000000,,226.0,226.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n779,Case Recommender,caserec/CaseRecommender,,recommender-systems,https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39.000000,2020-05-26 22:44:05.000000,2020-05-26 22:44:05.000000,71,7.0,16.0,326,201.0,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems.,10.0,16,True,2019-08-20 13:48:43.000000,1.1.0,41.0,caserecommender,,,,['sklearn'],9.0,9.0,https://pypi.org/project/caserecommender,2019-08-20 13:48:43.000000,,133.0,133.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n780,LOFO,aerdem4/lofo-importance,,interpretability,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46.000000,2021-01-27 13:57:42.000000,2020-07-02 11:49:52.000000,40,2.0,10.0,323,24.0,Leave One Feature Out Importance.,3.0,16,True,2020-07-02 11:44:57.000000,0.2.6,9.0,lofo-importance,,,,,4.0,4.0,https://pypi.org/project/lofo-importance,2020-07-02 11:44:57.000000,,151.0,151.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n781,DeepGraph,deepgraph/deepgraph,,graph,https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45.000000,2021-01-15 08:36:25.609000,2020-10-01 13:17:00.000000,35,8.0,5.0,234,160.0,Analyze Data with Pandas-based Networks. Documentation:.,2.0,16,True,2020-10-01 13:20:38.000000,0.2.3,13.0,deepgraph,conda-forge/deepgraph,,,['pandas'],1.0,1.0,https://pypi.org/project/deepgraph,2020-10-01 13:18:38.000000,,343.0,2406.0,https://anaconda.org/conda-forge/deepgraph,2021-01-15 08:36:25.609000,92844.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n782,Headliner,as-ideas/headliner,,nlp,https://github.com/as-ideas/headliner,https://github.com/as-ideas/headliner,MIT,2019-09-30 11:33:28.000000,2021-03-26 07:19:57.000000,2020-02-14 09:03:27.000000,38,1.0,13.0,227,276.0,Easy training and deployment of seq2seq models.,2.0,16,False,2020-01-24 09:06:29.000000,1.0.2,30.0,headliner,,,,,4.0,3.0,https://pypi.org/project/headliner,2020-01-24 09:06:29.000000,1.0,140.0,140.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n783,ExplainX.ai,explainX/explainx,,interpretability,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15.000000,2021-02-07 11:06:21.000000,2021-02-02 09:03:57.000000,34,10.0,17.0,203,184.0,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,4.0,16,True,2021-02-07 11:06:21.000000,2.407,56.0,explainx,,,,,,,https://pypi.org/project/explainx,2021-02-04 16:44:24.000000,,655.0,655.0,,,,,,,,3.0,1.0,,,,,,,,,,,,,,,,,,,,,,\n784,Parfit,jmcarpenter2/parfit,,hyperopt,https://github.com/jmcarpenter2/parfit,https://github.com/jmcarpenter2/parfit,MIT,2017-11-22 20:17:51.000000,2020-04-04 19:26:44.000000,2020-04-04 19:26:37.000000,25,6.0,5.0,197,127.0,\"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..\",2.0,16,False,,,23.0,parfit,,,,['sklearn'],8.0,8.0,https://pypi.org/project/parfit,2018-10-11 22:03:16.000000,,15958.0,15958.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n785,ipyexperiments,stas00/ipyexperiments,,gpu-utilities,https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40.000000,2021-03-28 18:24:12.000000,2021-03-28 18:23:45.000000,9,,4.0,133,196.0,jupyter/ipython experiment containers for GPU and general RAM re-use.,3.0,16,False,2021-03-28 03:39:09.000000,0.1.26,23.0,ipyexperiments,,,,['jupyter'],7.0,5.0,https://pypi.org/project/ipyexperiments,2021-03-28 03:39:09.000000,2.0,109.0,109.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n786,steppy,minerva-ml/steppy,,ml-experiments,https://github.com/minerva-ml/steppy,https://github.com/minerva-ml/steppy,MIT,2018-01-15 09:40:49.000000,2018-11-23 09:49:59.000000,2018-11-23 09:47:34.000000,31,16.0,50.0,128,69.0,\"Lightweight, Python library for fast and reproducible experimentation.\",5.0,16,False,2018-11-23 09:49:59.000000,0.1.16,16.0,steppy,,,,,44.0,39.0,https://pypi.org/project/steppy,2018-11-23 09:49:59.000000,5.0,85.0,85.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n787,celer,mathurinm/celer,,sklearn-utils,https://github.com/mathurinm/celer,https://github.com/mathurinm/celer,BSD-3-Clause,2018-02-20 19:37:31.000000,2021-04-16 13:53:18.000000,2021-04-16 13:43:48.000000,21,16.0,51.0,114,218.0,\"Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.\",9.0,16,False,2020-10-12 12:26:09.000000,0.5.1,10.0,celer,,,,['sklearn'],4.0,4.0,https://pypi.org/project/celer,2020-12-09 13:19:10.000000,,119.0,119.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n788,pyRDF2Vec,IBCNServices/pyRDF2Vec,,graph,https://github.com/IBCNServices/pyRDF2Vec,https://github.com/IBCNServices/pyRDF2Vec,MIT,2019-06-13 11:36:12.000000,2021-05-10 07:08:38.000000,2021-04-27 06:09:01.000000,19,3.0,34.0,108,1088.0,Python Implementation and Extension of RDF2Vec.,5.0,16,False,2021-04-02 07:35:12.000000,0.2.2,10.0,pyrdf2vec,,,,,,,https://pypi.org/project/pyrdf2vec,2021-04-02 07:33:41.000000,,187.0,187.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n789,dabl,amueller/dabl,,sklearn-utils,https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49.000000,2021-02-27 01:32:09.000000,2020-07-08 16:14:41.000000,7,1.0,,74,252.0,Data Analysis Baseline Library.,18.0,16,False,2021-02-27 01:25:17.000000,0.2.0,11.0,dabl,,,,['sklearn'],,,https://pypi.org/project/dabl,2021-02-27 01:25:17.000000,,2717.0,2717.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n790,contextual-ai,SAP/contextual-ai,,interpretability,https://github.com/SAP/contextual-ai,https://github.com/SAP/contextual-ai,Apache-2.0,2020-05-12 07:15:56.000000,2021-03-25 23:48:34.000000,2021-01-25 04:03:23.000000,9,5.0,1.0,68,621.0,\"Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference -..\",10.0,16,False,2021-01-25 04:56:57.000000,0.0.2,2.0,contextual-ai,,,,,,,https://pypi.org/project/contextual-ai,2021-01-25 04:56:57.000000,,205.0,205.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n791,PySlowFast,facebookresearch/SlowFast,,image,https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26.000000,2021-05-10 19:20:06.000000,2021-05-10 19:20:01.000000,719,198.0,197.0,3687,111.0,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,21.0,15,True,,,,,,,,['pytorch'],2.0,2.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n792,Euler,alibaba/euler,,graph,https://github.com/alibaba/euler,https://github.com/alibaba/euler,Apache-2.0,2019-01-10 06:32:32.000000,2021-04-19 11:30:28.000000,2020-07-29 05:53:01.000000,515,209.0,100.0,2556,8.0,A distributed graph deep learning framework.,5.0,15,True,2020-07-07 02:24:18.000000,2.0.0,2.0,euler-gl,,,,['tensorflow'],,,https://pypi.org/project/euler-gl,2019-04-10 01:53:45.000000,,18.0,18.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n793,GraphEmbedding,shenweichen/GraphEmbedding,,graph,https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20.000000,2021-04-06 17:36:59.000000,2020-10-18 09:32:47.000000,597,29.0,13.0,1978,28.0,Implementation and experiments of graph embedding algorithms.,8.0,15,True,,,,,,,,['sklearn'],8.0,8.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n794,pycls,facebookresearch/pycls,,image,https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17.000000,2021-05-05 21:14:09.000000,2021-05-05 17:26:33.000000,171,15.0,44.0,1546,79.0,\"Codebase for Image Classification Research, written in PyTorch.\",11.0,15,True,2020-04-15 19:33:22.000000,0.1,1.0,,,,,['pytorch'],3.0,3.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n795,Torch-Struct,harvardnlp/pytorch-struct,,pytorch-utils,https://github.com/harvardnlp/pytorch-struct,https://github.com/harvardnlp/pytorch-struct,MIT,2019-08-26 19:34:30.000000,2021-05-09 17:27:03.000000,2021-05-09 17:25:02.000000,71,18.0,25.0,927,262.0,\"Fast, general, and tested differentiable structured prediction in PyTorch.\",13.0,15,True,2021-02-15 20:20:59.000000,0.5,2.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n796,Translate,pytorch/translate,,nlp,https://github.com/pytorch/translate,https://github.com/pytorch/translate,BSD-3-Clause,2018-04-24 16:44:04.000000,2021-05-05 05:17:00.000000,2021-05-05 05:16:56.000000,167,66.0,27.0,695,807.0,Translate - a PyTorch Language Library.,86.0,15,True,,,1.0,pytorch-translate,,,,['pytorch'],,,https://pypi.org/project/pytorch-translate,2018-05-01 19:59:40.000000,,16.0,16.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n797,HyperparameterHunter,HunterMcGushion/hyperparameter_hunter,,hyperopt,https://github.com/HunterMcGushion/hyperparameter_hunter,https://github.com/HunterMcGushion/hyperparameter_hunter,MIT,2018-06-01 23:17:00.000000,2021-01-20 03:52:41.000000,2021-01-20 03:52:40.000000,84,37.0,84.0,647,1096.0,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries.,4.0,15,True,2019-08-06 09:09:45.000000,3.0.0,16.0,hyperparameter-hunter,,,,,2.0,,https://pypi.org/project/hyperparameter-hunter,2019-08-06 08:52:20.000000,2.0,52.0,61.0,,,,,,,,3.0,290.0,,,,,,,,,,,,,,,,,,,,,,\n798,Anchor,marcotcr/anchor,,interpretability,https://github.com/marcotcr/anchor,https://github.com/marcotcr/anchor,BSD-2-Clause,2018-02-02 23:38:50.000000,2021-04-19 22:37:30.000000,2021-04-19 22:37:22.000000,88,15.0,46.0,635,42.0,Code for High-Precision Model-Agnostic Explanations paper.,8.0,15,True,,,8.0,anchor_exp,,,,,,,https://pypi.org/project/anchor_exp,2020-06-26 20:56:50.000000,,537.0,537.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n799,AutoGL,THUMNLab/AutoGL,,graph,https://github.com/THUMNLab/AutoGL,https://github.com/THUMNLab/AutoGL,MIT,2020-11-30 14:26:22.000000,2021-05-12 17:00:23.000000,2021-04-10 10:49:50.000000,65,5.0,4.0,634,,An autoML framework & toolkit for machine learning on graphs.,5.0,15,True,2020-12-23 08:15:15.000000,0.1.1,2.0,auto-graph-learning,,,,['pytorch'],,,https://pypi.org/project/auto-graph-learning,2020-12-23 08:05:25.000000,,51.0,51.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n800,AlphaPy,ScottfreeLLC/AlphaPy,,hyperopt,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32.000000,2021-02-08 21:35:40.000000,2021-02-08 21:35:40.000000,127,9.0,29.0,587,409.0,\"Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost.\",3.0,15,True,2020-08-29 18:48:20.000000,2.5.0,25.0,alphapy,,,,,2.0,2.0,https://pypi.org/project/alphapy,2020-08-29 18:44:15.000000,,141.0,141.0,,,,,,,,3.0,,,,,,,,,-2.0,,,,,,,,,,,,,,\n801,cuSignal,rapidsai/cusignal,,gpu-utilities,https://github.com/rapidsai/cusignal,https://github.com/rapidsai/cusignal,Apache-2.0,2019-08-22 14:27:27.000000,2021-05-12 15:43:15.000000,2021-05-06 08:41:49.000000,63,15.0,99.0,481,,GPU accelerated signal processing.,30.0,15,True,2021-04-21 15:16:02.000000,0.19.0,6.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n802,kglib,graknlabs/kglib,,graph,https://github.com/vaticle/kglib,https://github.com/vaticle/kglib,Apache-2.0,2018-09-16 16:46:48.000000,2021-01-15 11:17:51.000000,2021-01-15 11:17:51.000000,82,8.0,49.0,426,487.0,Grakn Knowledge Graph Library (ML R&D).,7.0,15,True,2020-08-19 15:39:10.000000,0.2.2,7.0,grakn-kglib,,,,,,,https://pypi.org/project/grakn-kglib,2020-08-19 15:39:10.000000,,108.0,115.0,,,,,,,,3.0,207.0,,,,,,,,,,,,vaticle/kglib,,,,,,,,,,\n803,OpenRec,ylongqi/openrec,,recommender-systems,https://github.com/ylongqi/openrec,https://github.com/ylongqi/openrec,Apache-2.0,2017-11-29 16:04:40.000000,2020-11-13 17:47:17.000000,2020-02-19 07:57:17.000000,82,4.0,12.0,370,213.0,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms.,10.0,15,False,2020-02-18 06:52:11.000000,0.3.0,12.0,openrec,,,,,2.0,1.0,https://pypi.org/project/openrec,2020-02-18 06:52:11.000000,1.0,42.0,42.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n804,atspy,firmai/atspy,,time-series-data,https://github.com/firmai/atspy,https://github.com/firmai/atspy,MIT,2020-01-28 05:00:10.000000,2020-12-01 13:53:03.000000,2020-11-12 16:15:26.000000,67,18.0,2.0,351,97.0,AtsPy: Automated Time Series Models in Python (by @firmai).,5.0,15,True,2020-11-12 16:10:48.000000,zen,39.0,atspy,,,,,3.0,3.0,https://pypi.org/project/atspy,2020-04-24 18:16:15.000000,,565.0,565.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n805,tfdeploy,riga/tfdeploy,,model-serialisation,https://github.com/riga/tfdeploy,https://github.com/riga/tfdeploy,BSD-3-Clause,2016-03-07 13:08:21.000000,2021-01-08 09:52:54.000000,2021-01-08 09:52:49.000000,38,10.0,23.0,346,170.0,Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.,4.0,15,True,2017-03-30 10:51:26.000000,0.4.2,22.0,tfdeploy,,,,['tensorflow'],2.0,,https://pypi.org/project/tfdeploy,2017-03-30 10:51:26.000000,2.0,101.0,101.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n806,data-describe,data-describe/data-describe,,data-viz,https://github.com/data-describe/data-describe,https://github.com/data-describe/data-describe,Apache-2.0,2020-05-04 17:58:14.000000,2021-05-12 05:30:22.000000,2021-03-02 19:30:45.000000,14,69.0,175.0,275,695.0,datadescribe: Pythonic EDA Accelerator for Data Science.,14.0,15,True,,,5.0,data-describe,,,,,,,https://pypi.org/project/data-describe,2020-12-03 23:07:43.000000,,195.0,195.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n807,NeuralQA,victordibia/neuralqa,,nlp,https://github.com/victordibia/neuralqa,https://github.com/victordibia/neuralqa,MIT,2020-05-19 03:55:56.000000,2021-05-11 22:22:46.000000,2020-12-16 17:41:37.000000,27,26.0,8.0,192,312.0,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,3.0,15,True,,,27.0,neuralqa,,,,,2.0,2.0,https://pypi.org/project/neuralqa,2020-09-18 17:54:50.000000,,84.0,84.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n808,textvec,textvec/textvec,,nlp,https://github.com/textvec/textvec,https://github.com/textvec/textvec,MIT,2018-04-12 14:03:53.000000,2020-12-03 14:23:11.000000,2020-12-03 14:23:04.000000,21,2.0,6.0,170,70.0,Text vectorization tool to outperform TFIDF for classification tasks.,4.0,15,True,2019-09-12 07:41:04.000000,2.0,4.0,textvec,,,,['sklearn'],3.0,3.0,https://pypi.org/project/textvec,2020-12-03 14:17:09.000000,,157.0,157.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n809,nx-altair,Zsailer/nx_altair,,data-viz,https://github.com/Zsailer/nx_altair,https://github.com/Zsailer/nx_altair,MIT,2018-05-13 00:10:12.000000,2020-09-30 12:01:08.000000,2020-06-02 21:10:26.000000,20,6.0,4.0,161,51.0,Draw interactive NetworkX graphs with Altair.,3.0,15,True,2020-06-02 21:11:12.000000,0.1.6,8.0,nx-altair,,,,['jupyter'],4.0,,https://pypi.org/project/nx-altair,2020-06-02 21:11:12.000000,4.0,330.0,330.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n810,DE⫶TR,facebookresearch/detr,,image,https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52.000000,2021-05-07 07:15:47.000000,2020-11-15 16:03:45.000000,1087,80.0,236.0,6881,41.0,End-to-End Object Detection with Transformers.,19.0,14,True,2020-06-29 16:41:01.000000,0.2,1.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n811,StarSpace,facebookresearch/StarSpace,,ml-frameworks,https://github.com/facebookresearch/StarSpace,https://github.com/facebookresearch/StarSpace,MIT,2017-06-28 17:50:18.000000,2021-04-23 05:17:29.000000,2019-12-13 19:03:25.000000,494,50.0,146.0,3597,138.0,\"Learning embeddings for classification, retrieval and ranking.\",17.0,14,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n812,OpenNRE,thunlp/OpenNRE,,nlp,https://github.com/thunlp/OpenNRE,https://github.com/thunlp/OpenNRE,MIT,2017-02-26 07:37:12.000000,2021-03-09 04:16:47.000000,2021-03-09 04:16:47.000000,864,25.0,287.0,3094,139.0,An Open-Source Package for Neural Relation Extraction (NRE).,9.0,14,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n813,OpenKE,thunlp/OpenKE,,graph,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,MIT,2017-10-08 11:20:23.000000,2021-04-06 08:24:33.000000,2021-04-06 08:24:50.000000,790,65.0,230.0,2552,97.0,An Open-Source Package for Knowledge Embedding (KE).,10.0,14,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n814,ZhuSuan,thu-ml/zhusuan,,probabilistics,https://github.com/thu-ml/zhusuan,https://github.com/thu-ml/zhusuan,MIT,2016-07-18 13:31:38.000000,2020-01-09 14:51:27.000000,2019-08-05 10:00:04.000000,391,8.0,53.0,2040,439.0,\"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.\",20.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n815,OpenNE,thunlp/OpenNE,,graph,https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20.000000,2021-03-22 13:16:57.000000,2019-08-12 10:56:27.000000,449,50.0,82.0,1459,98.0,An Open-Source Package for Network Embedding (NE).,10.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n816,NeoML,neoml-lib/neoml,,ml-frameworks,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000000,2021-05-06 20:12:00.000000,2021-04-30 17:16:12.000000,83,36.0,13.0,585,319.0,Machine learning framework for both deep learning and traditional algorithms.,21.0,14,True,2020-06-14 17:44:03.000000,NeoML-master_1.0.1.0,1.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n817,Adversary,airbnb/artificial-adversary,,adversarial,https://github.com/airbnb/artificial-adversary,https://github.com/airbnb/artificial-adversary,MIT,2018-08-08 04:42:11.000000,2018-10-14 05:34:44.000000,2018-08-29 15:31:30.000000,51,6.0,,349,15.0,Tool to generate adversarial text examples and test machine learning models against them.,5.0,14,False,2018-08-29 15:14:41.000000,1.1.1,3.0,Adversary,,,,,6.0,6.0,https://pypi.org/project/Adversary,2018-08-29 15:14:41.000000,0.0,27.0,27.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n818,TransferNLP,feedly/transfer-nlp,,nlp,https://github.com/feedly/transfer-nlp,https://github.com/feedly/transfer-nlp,MIT,2019-03-12 20:00:31.000000,2020-05-28 19:00:02.000000,2020-05-28 17:31:53.000000,18,4.0,20.0,287,465.0,NLP library designed for reproducible experimentation management.,7.0,14,True,2020-05-28 19:00:02.000000,0.1.6,8.0,transfer-nlp,,,,['pytorch'],,,https://pypi.org/project/transfer-nlp,2020-05-28 19:00:02.000000,,116.0,116.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n819,Auptimizer,LGE-ARC-AdvancedAI/auptimizer,,hyperopt,https://github.com/LGE-ARC-AdvancedAI/auptimizer,https://github.com/LGE-ARC-AdvancedAI/auptimizer,GPL-3.0,2019-09-12 01:08:37.000000,2021-05-06 20:33:13.000000,2021-03-03 01:30:06.000000,21,1.0,5.0,170,79.0,An automatic ML model optimization tool.,11.0,14,False,2021-03-03 02:00:23.000000,2.0,7.0,auptimizer,,,,,,,https://pypi.org/project/auptimizer,2021-03-02 02:40:32.000000,,43.0,43.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n820,ONNX-T5,abelriboulot/onnxt5,,nlp,https://github.com/abelriboulot/onnxt5,https://github.com/abelriboulot/onnxt5,Apache-2.0,2020-08-01 09:38:35.000000,2021-01-28 09:26:15.000000,2021-01-28 09:24:52.000000,19,5.0,6.0,154,74.0,\"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..\",3.0,14,True,2021-01-28 09:26:15.000000,0.1.8,11.0,onnxt5,,,,,,,https://pypi.org/project/onnxt5,2021-01-28 09:26:15.000000,,115.0,115.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n821,ModelChimp,ModelChimp/modelchimp,,ml-experiments,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03.000000,2021-05-13 02:22:32.000000,2021-02-15 13:37:13.000000,12,4.0,10.0,121,361.0,Experiment tracking for machine and deep learning projects.,3.0,14,False,2019-04-09 10:43:15.000000,0.4.0,37.0,modelchimp,,modelchimp/modelchimp-server,,,,,https://pypi.org/project/modelchimp,2019-04-09 10:41:20.000000,,51.0,72.0,,,,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,638.0,3.0,,,,,,,,,,,,,,,,,,,,,,,\n822,DeepNeuro,QTIM-Lab/DeepNeuro,,medical-data,https://github.com/QTIM-Lab/DeepNeuro,https://github.com/QTIM-Lab/DeepNeuro,MIT,2017-06-01 19:36:34.000000,2020-06-24 13:00:15.000000,2020-06-24 13:00:14.000000,32,27.0,16.0,102,285.0,A deep learning python package for neuroimaging data. Made by:.,6.0,14,False,2019-06-10 21:04:04.000000,0.2.3,6.0,deepneuro,,,,,1.0,1.0,https://pypi.org/project/deepneuro,2019-06-10 21:04:04.000000,,54.0,54.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n823,Hypermax,electricbrainio/hypermax,,hyperopt,https://github.com/electricbrainio/hypermax,https://github.com/electricbrainio/hypermax,BSD-3-Clause,2018-07-27 18:43:01.000000,2020-08-02 18:08:50.000000,2020-08-02 18:08:46.000000,15,3.0,1.0,96,207.0,\"Better, faster hyper-parameter optimization.\",9.0,14,False,2019-10-23 15:40:12.000000,0.5.1,11.0,hypermax,,,,,4.0,4.0,https://pypi.org/project/hypermax,2019-10-23 15:40:12.000000,,24.0,24.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n824,Attribution Priors,suinleelab/attributionpriors,,interpretability,https://github.com/suinleelab/attributionpriors,https://github.com/suinleelab/attributionpriors,MIT,2019-06-24 23:54:24.000000,2021-03-19 19:43:58.000000,2021-03-19 19:43:51.000000,6,1.0,3.0,74,72.0,Tools for training explainable models using attribution priors.,6.0,14,False,2021-03-16 17:47:18.000000,1.0.0,4.0,attributionpriors,,,,\"['tensorflow', 'pytorch']\",2.0,2.0,https://pypi.org/project/attributionpriors,2019-10-31 18:03:05.000000,,38.0,38.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n825,LazyCluster,ml-tooling/lazycluster,,distributed-ml,https://github.com/ml-tooling/lazycluster,https://github.com/ml-tooling/lazycluster,Apache-2.0,2019-08-07 08:05:13.000000,2021-04-06 18:36:57.000000,2020-12-14 15:24:53.000000,6,,,38,,Distributed machine learning made simple.,2.0,14,False,2020-12-14 15:25:59.000000,0.2.4,5.0,lazycluster,,,,,4.0,4.0,https://pypi.org/project/lazycluster,2020-12-14 14:49:33.000000,,173.0,173.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n826,nptsne,biovault/nptsne,,data-viz,https://github.com/biovault/nptsne,https://github.com/biovault/nptsne,Apache-2.0,2019-06-28 08:40:25.000000,2021-03-08 15:54:27.000000,2021-02-03 08:52:27.000000,2,6.0,5.0,25,857.0,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,3.0,14,False,2020-09-10 23:54:14.000000,1.1.0,2.0,nptsne,,,,,2.0,2.0,https://pypi.org/project/nptsne,2020-09-10 23:54:14.000000,,169.0,169.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n827,ENAS,carpedm20/ENAS-pytorch,,hyperopt,https://github.com/carpedm20/ENAS-pytorch,https://github.com/carpedm20/ENAS-pytorch,Apache-2.0,2018-02-15 04:54:37.000000,2020-12-09 18:13:03.000000,2020-06-16 07:23:32.000000,450,37.0,7.0,2428,53.0,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,6.0,13,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n828,GraphSAGE,williamleif/GraphSAGE,,graph,https://github.com/williamleif/GraphSAGE,https://github.com/williamleif/GraphSAGE,MIT,2017-05-29 15:36:22.000000,2021-02-02 21:46:42.000000,2018-09-19 19:27:00.000000,649,85.0,58.0,2308,59.0,Representation learning on large graphs using stochastic graph convolutions.,9.0,13,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n829,micrograd,karpathy/micrograd,,pytorch-utils,https://github.com/karpathy/micrograd,https://github.com/karpathy/micrograd,MIT,2020-04-13 04:31:18.000000,2020-12-18 12:55:50.000000,2020-04-18 19:15:25.000000,126,2.0,3.0,1656,24.0,A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.,2.0,13,False,2020-04-18 19:06:59.000000,0.1.0,1.0,micrograd,,,,['pytorch'],1.0,1.0,https://pypi.org/project/micrograd,2020-04-18 19:06:59.000000,0.0,26.0,26.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n830,Medical Detection Toolkit,MIC-DKFZ/medicaldetectiontoolkit,,medical-data,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,Apache-2.0,2018-10-12 12:34:57.000000,2021-03-30 11:54:29.000000,2021-03-30 11:54:21.000000,243,29.0,85.0,956,37.0,\"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..\",3.0,13,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n831,PandaPy,firmai/pandapy,,data-containers,https://github.com/firmai/pandapy,https://github.com/firmai/pandapy,MIT,2020-01-15 18:21:23.000000,2020-11-12 16:18:45.000000,2020-11-12 16:18:44.000000,48,2.0,1.0,474,83.0,PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai).,3.0,13,True,2020-11-12 16:12:54.000000,zen,22.0,pandapy,,,,['pandas'],1.0,1.0,https://pypi.org/project/pandapy,2020-01-25 23:10:32.000000,,54.0,54.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n832,featurewiz,AutoViML/featurewiz,,hyperopt,https://github.com/AutoViML/featurewiz,https://github.com/AutoViML/featurewiz,Apache-2.0,2020-11-29 16:46:16.000000,2021-05-09 15:54:12.000000,2021-05-09 15:51:05.000000,15,2.0,1.0,56,,Use advanced feature engineering strategies and select the best features from your data set fast with a single line of..,1.0,13,False,2021-05-09 15:54:12.000000,0.0.34,34.0,featurewiz,,,,,,,https://pypi.org/project/featurewiz,2021-05-09 15:54:12.000000,,662.0,662.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n833,bias-detector,intuit/bias-detector,,interpretability,https://github.com/intuit/bias-detector,https://github.com/intuit/bias-detector,MIT,2021-02-02 16:58:52.000000,2021-05-11 08:46:57.000000,2021-05-11 08:46:49.000000,4,,,21,,Bias Detector is a python package for detecting bias in machine learning models.,3.0,13,False,2021-04-22 15:20:54.000000,0.0.12,11.0,bias-detector,,,,,,,https://pypi.org/project/bias-detector,2021-04-22 15:20:54.000000,,168.0,168.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n834,surpriver,tradytics/surpriver,,financial-data,https://github.com/tradytics/surpriver,https://github.com/tradytics/surpriver,GPL-3.0,2020-08-30 07:56:22.000000,2020-11-13 00:48:16.000000,2020-09-21 04:32:05.000000,222,10.0,5.0,1206,64.0,Find big moving stocks before they move using machine learning and anomaly detection.,6.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n835,MedicalNet,Tencent/MedicalNet,,medical-data,https://github.com/Tencent/MedicalNet,https://github.com/Tencent/MedicalNet,MIT,2019-07-17 09:53:10.000000,2020-08-27 13:37:27.000000,2020-08-27 13:37:26.000000,305,45.0,14.0,1112,26.0,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,1.0,12,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n836,GraphVite,DeepGraphLearning/graphvite,,graph,https://github.com/DeepGraphLearning/graphvite,https://github.com/DeepGraphLearning/graphvite,Apache-2.0,2019-07-16 15:48:20.000000,2021-01-14 02:19:03.000000,2021-01-14 02:18:46.000000,121,29.0,55.0,906,15.0,GraphVite: A General and High-performance Graph Embedding System.,1.0,12,True,,,4.0,,milagraph/graphvite,,,,,,,,,,176.0,https://anaconda.org/milagraph/graphvite,2020-03-19 18:21:30.972000,3704.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n837,Devol,joeddav/devol,,hyperopt,https://github.com/joeddav/devol,https://github.com/joeddav/devol,MIT,2017-02-10 03:07:54.000000,2020-07-05 21:56:59.000000,2020-07-05 21:56:58.000000,109,7.0,20.0,930,116.0,Genetic neural architecture search with Keras.,18.0,11,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n838,PySparNN,facebookresearch/pysparnn,,nn-search,https://github.com/facebookresearch/pysparnn,https://github.com/facebookresearch/pysparnn,BSD-3-Clause,2016-03-28 20:43:42.000000,2020-10-02 06:01:01.000000,2018-01-31 16:50:23.000000,142,14.0,14.0,871,147.0,Approximate Nearest Neighbor Search for Sparse Data in Python!.,5.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n839,bodywork-core,bodywork-ml/bodywork-core,,data-pipelines,https://github.com/bodywork-ml/bodywork-core,https://github.com/bodywork-ml/bodywork-core,AGPL-3.0,2020-11-17 11:38:17.000000,2021-05-13 13:41:19.000000,2021-05-09 15:37:55.000000,11,8.0,20.0,213,285.0,MLOps tool for deploying machine learning projects to Kubernetes.,4.0,11,False,,,,bodywork-core,,,,,2.0,2.0,https://pypi.org/project/bodywork-core,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n840,traintool,jrieke/traintool,,ml-experiments,https://github.com/jrieke/traintool,https://github.com/jrieke/traintool,Apache-2.0,2020-09-30 22:23:05.000000,2021-03-12 01:44:04.000000,2021-03-12 01:43:14.000000,1,,,9,122.0,Train off-the-shelf machine learning models in one line of code.,,11,False,2020-11-02 02:25:32.000000,0.0.3,3.0,traintool,,,,\"['pytorch', 'tensorflow', 'sklearn']\",,,https://pypi.org/project/traintool,2020-11-02 02:25:32.000000,,24.0,24.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n841,traingenerator,jrieke/traingenerator,,others,https://github.com/jrieke/traingenerator,https://github.com/jrieke/traingenerator,MIT,2020-12-03 16:47:16.000000,2021-04-29 13:51:46.000000,2021-04-29 13:46:13.000000,132,9.0,3.0,1001,,A web app to generate template code for machine learning.,3.0,10,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n842,Mozart,aashrafh/Mozart,,ocr,https://github.com/aashrafh/Mozart,https://github.com/aashrafh/Mozart,Apache-2.0,2020-12-14 11:49:14.000000,2021-05-05 17:21:44.000000,2021-05-05 17:21:44.000000,40,1.0,2.0,259,,An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.,5.0,10,True,,,,,,,,['sklearn'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n843,Hypertunity,gdikov/hypertunity,,hyperopt,https://github.com/gdikov/hypertunity,https://github.com/gdikov/hypertunity,Apache-2.0,2019-06-02 12:04:55.000000,2020-01-26 23:14:49.000000,2020-01-26 22:53:29.000000,9,,2.0,121,64.0,A toolset for black-box hyperparameter optimisation.,2.0,10,False,2020-01-26 23:08:16.000000,1.0.1,7.0,hypertunity,,,,,2.0,2.0,https://pypi.org/project/hypertunity,2020-01-26 23:08:16.000000,,16.0,16.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,\n"
  },
  {
    "path": "history/2021-06-03_changes.md",
    "content": "## 📈 Trending Up\n\n_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._\n\n- <b><a href=\"https://github.com/celery/celery\">Celery</a></b> (🥇40 ·  ⭐ 17K · 📈) - Asynchronous task queue/job queue based on distributed message passing. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/sympy/sympy\">SymPy</a></b> (🥇36 ·  ⭐ 8.1K · 📈) - A computer algebra system written in pure Python. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/albumentations-team/albumentations\">Albumentations</a></b> (🥈30 ·  ⭐ 8.1K · 📈) - Fast image augmentation library and an easy-to-use.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/keras-team/autokeras\">AutoKeras</a></b> (🥇29 ·  ⭐ 8K · 📈) - AutoML library for deep learning. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/sepandhaghighi/pycm\">pycm</a></b> (🥈24 ·  ⭐ 1.1K · 📈) - Multi-class confusion matrix library in Python. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/tensorflow/privacy\">TensorFlow Privacy</a></b> (🥈23 ·  ⭐ 1.4K · 📈) - Library for training machine learning models with.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/sentinelsat/sentinelsat\">Sentinelsat</a></b> (🥉23 ·  ⭐ 610 · 📈) - Search and download Copernicus Sentinel satellite images. <code><a href=\"http://bit.ly/2M0xdwT\">❗️GPL-3.0</a></code>\n- <b><a href=\"https://github.com/marcotcr/checklist\">checklist</a></b> (🥈22 ·  ⭐ 1.4K · 📈) - Beyond Accuracy: Behavioral Testing of NLP models with.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/JetBrains/lets-plot\">lets-plot</a></b> (🥉22 ·  ⭐ 620 · 📈) - An open-source plotting library for statistical data. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/facebookresearch/pycls\">pycls</a></b> (🥉17 ·  ⭐ 1.6K · 📈) - Codebase for Image Classification Research, written in PyTorch. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n\n## 📉 Trending Down\n\n_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._\n\n- <b><a href=\"https://github.com/apache/airflow\">Airflow</a></b> (🥈32 ·  ⭐ 22K · 📉) - Platform to programmatically author, schedule, and monitor.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/jazzband/tablib\">Tablib</a></b> (🥈30 ·  ⭐ 4K · 📉) - Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/explosion/cython-blis\">Cython BLIS</a></b> (🥈26 ·  ⭐ 170 · 📉) - Fast matrix-multiplication as a self-contained Python library.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/chartbeat-labs/textacy\">textacy</a></b> (🥉25 ·  ⭐ 1.7K · 📉) - NLP, before and after spaCy. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/sirfz/tesserocr\">tesserocr</a></b> (🥈25 ·  ⭐ 1.5K · 📉) - A Python wrapper for the tesseract-ocr API. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/mozilla/DeepSpeech\">DeepSpeech</a></b> (🥉24 ·  ⭐ 17K · 📉) - DeepSpeech is an open source embedded (offline, on-.. <code><a href=\"http://bit.ly/3postzC\">MPL-2.0</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/frictionlessdata/tabulator-py\">tabulator-py</a></b> (🥉24 ·  ⭐ 210 · 📉) - Python library for reading and writing tabular data via streams. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/libvips/pyvips\">pyvips</a></b> (🥉22 ·  ⭐ 320 · 📉) - python binding for libvips using cffi. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/yzhao062/combo\">combo</a></b> (🥉21 ·  ⭐ 500 · 📉) - (AAAI' 20) A Python Toolbox for Machine Learning Model.. <code><a href=\"http://bit.ly/3rqEWVr\">BSD-2</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code>xgboost</code>\n- <b><a href=\"https://github.com/NVIDIA/DALI\">DALI</a></b> (🥉17 ·  ⭐ 3.3K · 📉) - A GPU-accelerated library containing highly optimized building.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n\n"
  },
  {
    "path": "history/2021-06-03_projects.csv",
    "content": ",name,github_id,resource,category,github_url,homepage,license,created_at,updated_at,last_commit_pushed_at,fork_count,open_issue_count,closed_issue_count,star_count,commit_count,description,contributor_count,projectrank,show,latest_stable_release_published_at,latest_stable_release_number,release_count,pypi_id,conda_id,dockerhub_id,docs_url,labels,dependent_project_count,github_dependent_project_count,pypi_url,pypi_latest_release_published_at,pypi_dependent_project_count,pypi_monthly_downloads,monthly_downloads,conda_url,conda_latest_release_published_at,conda_total_downloads,dockerhub_url,dockerhub_latest_release_published_at,dockerhub_stars,dockerhub_pulls,projectrank_placing,github_release_downloads,trending,helm_id,npm_id,npm_url,npm_latest_release_published_at,npm_dependent_project_count,npm_monthly_downloads,conda_dependent_project_count,brew_id,apt_id,yum_id,updated_github_id,snap_id,dnf_id,yay_id,maven_id,maven_url,maven_latest_release_published_at,maven_dependent_project_count,gitlab_id,gitlab_url\n0,ANN Benchmarks,erikbern/ann-benchmarks,True,nn-search,https://github.com/erikbern/ann-benchmarks,https://github.com/erikbern/ann-benchmarks,MIT,2015-05-28 13:21:43.000000,2021-05-28 13:59:49.000000,2021-05-23 16:47:37.000000,359,32.0,62.0,2254,1217.0,Benchmarks of approximate nearest neighbor libraries in Python.,57.0,0,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n1,best-of-web-python - Web Scraping,ml-tooling/best-of-web-python,True,web-scraping,https://github.com/ml-tooling/best-of-web-python,https://github.com/ml-tooling/best-of-web-python,CC-BY-SA-4.0,2021-01-05 13:09:27.000000,2021-06-03 15:38:46.000000,2021-05-14 08:30:59.000000,81,,2.0,1235,,Collection of web-scraping and crawling libraries.,6.0,0,True,2021-05-14 08:31:08.000000,2021.05.13,16.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n2,best-of-python - DB Clients,ml-tooling/best-of-python,True,db-clients,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#database-clients,CC-BY-SA-4.0,2021-01-11 19:11:32.000000,2021-06-03 15:18:12.000000,2021-05-14 08:31:36.000000,130,2.0,3.0,1644,,Collection of database clients for python.,5.0,0,True,2021-05-14 08:31:44.000000,2021.05.13,16.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n3,Tensorflow,tensorflow/tensorflow,,ml-frameworks,https://github.com/tensorflow/tensorflow,https://github.com/tensorflow/tensorflow,Apache-2.0,2015-11-07 01:19:20.000000,2021-06-03 14:01:23.000000,2021-06-03 14:00:43.000000,84790,3957.0,28078.0,158214,111737.0,An Open Source Machine Learning Framework for Everyone.,3679.0,44,True,2021-05-13 18:18:51.000000,2.5.0,121.0,tensorflow,conda-forge/tensorflow,tensorflow/tensorflow,https://www.tensorflow.org/overview,['tensorflow'],163373.0,140849.0,https://pypi.org/project/tensorflow,2021-05-13 17:28:39.000000,22524.0,10186783.0,11019964.0,https://anaconda.org/conda-forge/tensorflow,2021-04-30 05:11:44.185000,2577782.0,https://hub.docker.com/r/tensorflow/tensorflow,2021-06-03 13:34:00.172392,1909.0,53081737.0,1.0,,,,,,,,,,,,,,,,,,,,,,\n4,pandas,pandas-dev/pandas,,data-containers,https://github.com/pandas-dev/pandas,https://github.com/pandas-dev/pandas,BSD-3-Clause,2010-08-24 01:37:33.000000,2021-06-03 12:31:31.000000,2021-06-03 05:40:22.000000,12463,3654.0,17146.0,29932,26969.0,\"Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R..\",2688.0,43,True,2021-04-12 18:43:31.000000,1.2.4,91.0,pandas,conda-forge/pandas,,,['pandas'],534991.0,458207.0,https://pypi.org/project/pandas,2021-04-12 18:43:31.000000,76784.0,49432541.0,49707080.0,https://anaconda.org/conda-forge/pandas,2021-04-13 16:22:06.030000,16672481.0,,,,,1.0,108647.0,,,,,,,,,,,,,,,,,,,,,\n5,scipy,scipy/scipy,,others,https://github.com/scipy/scipy,https://github.com/scipy/scipy,BSD-3-Clause,2011-03-09 18:52:03.000000,2021-06-03 11:22:24.000000,2021-06-03 07:59:17.000000,3711,1618.0,5962.0,8265,25822.0,\"Ecosystem of open-source software for mathematics, science, and engineering.\",1122.0,42,True,2021-04-26 02:11:23.000000,1.6.3,63.0,scipy,conda-forge/scipy,,,,438632.0,351770.0,https://pypi.org/project/scipy,2021-04-26 00:22:45.000000,86862.0,29500574.0,29749917.0,https://anaconda.org/conda-forge/scipy,2021-04-27 23:19:03.675000,14936465.0,,,,,1.0,318345.0,,,,,,,,,,,,,,,,,,,,,\n6,PyTorch,pytorch/pytorch,,ml-frameworks,https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41.000000,2021-06-03 14:17:18.000000,2021-06-03 13:43:23.000000,12681,8648.0,14277.0,48591,37332.0,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,2697.0,41,True,2021-03-25 16:07:08.000000,1.8.1,32.0,torch,pytorch/pytorch,,https://pytorch.org/docs/stable/index.html,['pytorch'],85929.0,79247.0,https://pypi.org/project/torch,2021-03-25 15:54:32.000000,6682.0,3907568.0,4170555.0,https://anaconda.org/pytorch/pytorch,2021-03-25 16:42:58.661000,11308465.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n7,Matplotlib,matplotlib/matplotlib,,data-viz,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,Python-2.0,2011-02-19 03:17:12.000000,2021-06-03 14:14:20.000000,2021-06-02 21:15:05.000000,5828,1665.0,6271.0,13713,39238.0,matplotlib: plotting with Python.,1237.0,41,True,2021-05-08 05:47:47.000000,3.4.2,68.0,matplotlib,conda-forge/matplotlib,,,,458380.0,379276.0,https://pypi.org/project/matplotlib,2021-05-08 05:47:47.000000,79104.0,21000081.0,21130420.0,https://anaconda.org/conda-forge/matplotlib,2021-05-10 22:47:57.893000,8993425.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n8,Celery,celery/celery,,data-pipelines,https://github.com/celery/celery,https://github.com/celery/celery,BSD-3-Clause,2009-04-24 11:31:24.000000,2021-06-03 14:16:32.000000,2021-06-01 12:09:39.000000,4001,511.0,4005.0,17356,11607.0,Asynchronous task queue/job queue based on distributed message passing.,1116.0,40,True,2021-05-26 15:28:52.000000,5.1.0,175.0,celery,conda-forge/celery,,,,81790.0,53556.0,https://pypi.org/project/celery,2021-05-23 16:30:39.000000,28234.0,4967230.0,4975204.0,https://anaconda.org/conda-forge/celery,2021-03-24 04:34:11.646000,502381.0,,,,,1.0,,1.0,,,,,,,,,,,,,,,,,,,,\n9,Pillow,python-pillow/Pillow,,image,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000000,2021-06-03 13:44:31.000000,2021-05-25 12:38:58.000000,1621,214.0,2015.0,8558,11736.0,The friendly PIL fork (Python Imaging Library).,359.0,40,True,2021-04-01 20:55:51.000000,8.2.0,80.0,Pillow,conda-forge/pillow,,,,590025.0,478599.0,https://pypi.org/project/Pillow,2021-04-01 20:53:21.000000,111426.0,31107618.0,31247373.0,https://anaconda.org/conda-forge/pillow,2021-05-17 22:12:54.346000,8664818.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n10,PySpark,apache/spark,,ml-frameworks,https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08.000000,2021-06-03 12:52:52.000000,2021-06-03 12:52:41.000000,23914,214.0,,29989,30234.0,Apache Spark Python API.,2466.0,38,True,2021-05-27 17:18:30.000000,3.1.2,25.0,pyspark,conda-forge/pyspark,,,['spark'],1352.0,592.0,https://pypi.org/project/pyspark,2021-05-27 17:18:30.000000,760.0,10063310.0,10084391.0,https://anaconda.org/conda-forge/pyspark,2021-05-29 01:33:32.376000,1075135.0,,,,,1.0,,,stable/spark,,,,,,,,,,,,,,,,,,,\n11,numpy,numpy/numpy,,data-containers,https://github.com/numpy/numpy,https://github.com/numpy/numpy,BSD-3-Clause,2010-09-13 23:02:39.000000,2021-06-03 14:48:43.000000,2021-05-31 19:59:29.000000,5540,2281.0,7569.0,17313,,The fundamental package for scientific computing with Python.,1268.0,38,True,2021-05-10 15:39:14.000000,1.20.3,99.0,numpy,conda-forge/numpy,,,,897391.0,727669.0,https://pypi.org/project/numpy,2021-05-24 15:55:21.000000,169722.0,75617244.0,75947419.0,https://anaconda.org/conda-forge/numpy,2021-05-26 08:31:16.607000,19755078.0,,,,,1.0,347724.0,,,,,,,,,,,,,,,,,,,,,\n12,scikit-learn,scikit-learn/scikit-learn,,ml-frameworks,https://github.com/scikit-learn/scikit-learn,https://github.com/scikit-learn/scikit-learn,BSD-3-Clause,2010-08-17 09:43:38.000000,2021-06-03 13:56:06.000000,2021-06-03 13:47:34.000000,21478,2361.0,6914.0,45986,,scikit-learn: machine learning in Python.,2237.0,37,True,2021-04-28 17:20:23.000000,0.24.2,54.0,scikit-learn,conda-forge/scikit-learn,,,['sklearn'],265946.0,228058.0,https://pypi.org/project/scikit-learn,2021-04-28 11:18:29.000000,37888.0,22083606.0,22217026.0,https://anaconda.org/conda-forge/scikit-learn,2021-04-28 21:30:13.539000,8137980.0,,,,,1.0,694.0,,,,,,,,,,,,,,,,,,,,,\n13,XGBoost,dmlc/xgboost,,ml-frameworks,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000000,2021-06-03 11:10:53.000000,2021-06-02 23:05:55.000000,7983,296.0,3785.0,21076,5353.0,\"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..\",521.0,37,True,2021-05-13 11:35:17.000000,1.4.2,57.0,xgboost,conda-forge/xgboost,,https://xgboost.readthedocs.io/en/latest/,,19233.0,17641.0,https://pypi.org/project/xgboost,2021-05-13 11:49:10.000000,1592.0,5316673.0,5349432.0,https://anaconda.org/conda-forge/xgboost,2021-04-29 20:56:44.761000,1669263.0,,,,,1.0,2526.0,,,,,,,,,,,,,,,,,,,,,\n14,spaCy,explosion/spaCy,,nlp,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000000,2021-06-03 07:05:26.000000,2021-06-02 09:50:49.000000,3432,116.0,4574.0,20570,14526.0,Industrial-strength Natural Language Processing (NLP) in Python.,587.0,37,True,2021-05-18 06:23:32.000000,2.3.6,178.0,spacy,conda-forge/spacy,,,,28862.0,25796.0,https://pypi.org/project/spacy,2021-04-23 12:16:12.000000,3066.0,2227402.0,2267830.0,https://anaconda.org/conda-forge/spacy,2021-04-24 09:37:43.886000,2099447.0,,,,,1.0,3087.0,,,,,,,,,,,,,,,,,,,,,\n15,Faker,joke2k/faker,,data-loading,https://github.com/joke2k/faker,https://github.com/joke2k/faker,MIT,2012-11-12 23:00:09.000000,2021-06-02 19:25:06.340000,2021-06-02 15:47:24.000000,1429,146.0,368.0,12591,2650.0,Faker is a Python package that generates fake data for you.,403.0,37,True,2021-06-02 15:26:46.000000,8.5.0,144.0,Faker,conda-forge/faker,,,,34267.0,29555.0,https://pypi.org/project/Faker,2021-06-02 15:26:38.000000,4712.0,4284660.0,4293210.0,https://anaconda.org/conda-forge/faker,2021-06-02 19:25:06.340000,436065.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n16,Seaborn,mwaskom/seaborn,,data-viz,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000000,2021-06-03 01:44:12.000000,2021-05-14 19:52:22.000000,1420,92.0,1770.0,8469,2780.0,Statistical data visualization using matplotlib.,153.0,37,True,2021-03-29 17:36:25.000000,joss_paper,23.0,seaborn,conda-forge/seaborn,,,,110947.0,98161.0,https://pypi.org/project/seaborn,2020-12-20 20:53:25.000000,12786.0,5084439.0,5125804.0,https://anaconda.org/conda-forge/seaborn,2021-01-28 11:50:33.609000,2399166.0,,,,,1.0,165.0,,,,,,,,,,,,,,,,,,,,,\n17,transformers,huggingface/transformers,,nlp,https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000000,2021-06-03 14:04:11.000000,2021-06-03 10:35:26.000000,11107,396.0,6587.0,46741,7278.0,\"Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.\",898.0,36,True,2021-05-20 14:57:12.000000,4.6.1,58.0,transformers,conda-forge/transformers,,,\"['pytorch', 'tensorflow']\",11853.0,11725.0,https://pypi.org/project/transformers,2021-05-20 14:54:53.000000,128.0,2513353.0,2515532.0,https://anaconda.org/conda-forge/transformers,2021-05-21 15:11:50.971000,42722.0,,,,,1.0,1337.0,,,,,,,,,,,,,,,,,,,,,\n18,OpenAI Gym,openai/gym,,reinforcement-learning,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16.000000,2021-05-31 19:57:33.000000,2021-05-17 23:19:33.000000,6980,302.0,1070.0,24334,1245.0,A toolkit for developing and comparing reinforcement learning algorithms.,275.0,36,True,2021-05-18 00:09:21.000000,0.18.3,93.0,gym,,,,,24245.0,20683.0,https://pypi.org/project/gym,2021-05-18 00:09:21.000000,3562.0,1083057.0,1083057.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n19,LightGBM,microsoft/LightGBM,,ml-frameworks,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000000,2021-06-03 11:32:08.000000,2021-06-03 11:32:08.000000,3286,119.0,2161.0,12580,2523.0,\"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..\",227.0,36,True,2021-04-12 23:03:24.000000,3.2.1,25.0,lightgbm,conda-forge/lightgbm,,,,7823.0,7267.0,https://pypi.org/project/lightgbm,2021-03-22 15:04:09.000000,556.0,3946514.0,3961434.0,https://anaconda.org/conda-forge/lightgbm,2021-04-20 13:04:15.819000,602944.0,,,,,1.0,104630.0,,,,,,,,,,,,,,,,,,,,,\n20,gensim,RaRe-Technologies/gensim,,nlp,https://github.com/RaRe-Technologies/gensim,https://github.com/RaRe-Technologies/gensim,LGPL-2.1,2011-02-10 07:43:04.000000,2021-06-01 01:56:45.000000,2021-06-01 01:56:45.000000,3984,364.0,1302.0,12124,4144.0,Topic Modelling for Humans.,402.0,36,True,2021-04-01 14:19:26.000000,4.0.1,85.0,gensim,conda-forge/gensim,,,,28766.0,24024.0,https://pypi.org/project/gensim,2021-03-25 13:43:34.000000,4742.0,8511599.0,8526358.0,https://anaconda.org/conda-forge/gensim,2021-04-02 10:56:03.560000,661994.0,,,,,1.0,3305.0,,,,,,,,,,,,,,,,,,,,,\n21,Plotly,plotly/plotly.py,,data-viz,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000000,2021-06-02 14:28:58.000000,2021-06-01 11:20:17.000000,1813,885.0,1093.0,9598,5046.0,The interactive graphing library for Python (includes Plotly Express).,175.0,36,True,2021-01-12 17:01:21.000000,4.14.3,266.0,plotly,conda-forge/plotly,,,,4991.0,5.0,https://pypi.org/project/plotly,2021-05-31 20:58:35.000000,4982.0,5382852.0,5443239.0,https://anaconda.org/conda-forge/plotly,2021-01-12 17:11:42.117000,1432453.0,,,,,1.0,,,,plotlywidget,https://www.npmjs.com/package/plotlywidget,2021-01-12 16:09:46.133000,4.0,35690.0,,,,,,,,,,,,,,\n22,torchvision,pytorch/vision,,image,https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000000,2021-06-03 14:22:08.000000,2021-06-03 14:22:07.000000,4716,465.0,1284.0,9173,1771.0,\"Datasets, Transforms and Models specific to Computer Vision.\",387.0,36,True,2021-03-25 17:51:25.000000,0.9.1,23.0,torchvision,conda-forge/torchvision,,,['pytorch'],56487.0,51875.0,https://pypi.org/project/torchvision,2021-03-25 16:28:06.000000,4612.0,1659851.0,1661408.0,https://anaconda.org/conda-forge/torchvision,2021-04-22 07:21:30.407000,65412.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n23,SymPy,sympy/sympy,,others,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000000,2021-06-03 13:37:46.000000,2021-06-03 01:22:19.000000,3408,4144.0,7360.0,8125,47000.0,A computer algebra system written in pure Python.,1069.0,36,True,2021-04-09 22:38:24.000000,sympy-1.8,37.0,sympy,conda-forge/sympy,,,,38795.0,32373.0,https://pypi.org/project/sympy,2021-04-09 22:41:01.000000,6422.0,1577383.0,1606330.0,https://anaconda.org/conda-forge/sympy,2021-04-10 01:00:41.286000,1492844.0,,,,,1.0,425217.0,1.0,,,,,,,,,,,,,,,,,,,,\n24,Arrow,apache/arrow,,data-containers,https://github.com/apache/arrow,https://github.com/apache/arrow,Apache-2.0,2016-02-17 08:00:23.000000,2021-06-03 14:30:27.000000,2021-06-03 14:30:19.000000,1918,159.0,599.0,7974,9316.0,Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-..,684.0,36,True,2021-04-26 21:13:42.000000,4.0.0,32.0,pyarrow,conda-forge/arrow,,,,1030.0,44.0,https://pypi.org/project/pyarrow,2021-05-30 17:16:04.000000,986.0,24310252.0,24320070.0,https://anaconda.org/conda-forge/arrow,2021-05-06 18:27:26.800000,598935.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n25,Tensorboard,tensorflow/tensorboard,,ml-experiments,https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000000,2021-06-02 23:24:57.000000,2021-06-02 23:02:45.000000,1391,552.0,979.0,5504,4549.0,TensorFlow's Visualization Toolkit.,261.0,36,True,2021-04-19 18:42:18.000000,2.5.0,37.0,tensorboard,conda-forge/tensorboard,,,['tensorflow'],70245.0,66631.0,https://pypi.org/project/tensorboard,2021-01-14 20:49:19.000000,3614.0,10043696.0,10090874.0,https://anaconda.org/conda-forge/tensorboard,2021-01-15 08:30:57.960000,2028683.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n26,h5py,h5py/h5py,,data-containers,https://github.com/h5py/h5py,https://github.com/h5py/h5py,BSD-3-Clause,2012-09-21 00:40:02.000000,2021-05-28 00:10:00.000000,2021-04-28 16:45:14.000000,405,227.0,987.0,1519,3623.0,HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.,162.0,36,True,2021-03-05 10:04:46.000000,3.2.1,27.0,h5py,conda-forge/h5py,,,,140600.0,117664.0,https://pypi.org/project/h5py,2021-03-05 10:24:13.000000,22936.0,10119483.0,10203417.0,https://anaconda.org/conda-forge/h5py,2021-04-16 22:09:04.226000,5286514.0,,,,,1.0,1124.0,,,,,,,,,,,,,,,,,,,,,\n27,dash,plotly/dash,,data-viz,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000000,2021-06-03 14:08:55.000000,2021-06-03 14:08:53.000000,1467,444.0,585.0,14618,3544.0,\"Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.\",77.0,35,True,2021-04-08 22:35:48.000000,1.20.0,137.0,dash,conda-forge/dash,,,,22608.0,21000.0,https://pypi.org/project/dash,2021-01-19 23:50:28.000000,1608.0,505182.0,512036.0,https://anaconda.org/conda-forge/dash,2021-04-10 06:31:33.446000,253600.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n28,jax,google/jax,,ml-frameworks,https://github.com/google/jax,https://github.com/google/jax,Apache-2.0,2018-10-25 21:25:02.000000,2021-06-03 13:50:06.000000,2021-06-03 13:49:56.000000,1166,764.0,1666.0,12845,8107.0,\"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.\",293.0,35,True,2021-05-04 00:58:32.000000,0.2.13,92.0,jax,conda-forge/jaxlib,,,,1769.0,1723.0,https://pypi.org/project/jax,2021-05-04 00:58:32.000000,46.0,566337.0,572014.0,https://anaconda.org/conda-forge/jaxlib,2021-05-18 05:56:35.288000,130589.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n29,nltk,nltk/nltk,,nlp,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58.000000,2021-06-02 16:11:42.000000,2021-05-29 23:11:17.000000,2467,235.0,1250.0,9913,,Suite of libraries and programs for symbolic and statistical natural language processing for English.,397.0,35,True,2021-04-07 21:36:50.000000,3.6.1,41.0,nltk,conda-forge/nltk,,,,123618.0,102626.0,https://pypi.org/project/nltk,2021-04-07 21:36:50.000000,20992.0,8600109.0,8612584.0,https://anaconda.org/conda-forge/nltk,2021-04-20 15:34:03.018000,723602.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n30,networkx,networkx/networkx,,graph,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44.000000,2021-06-03 12:46:03.000000,2021-06-02 17:50:03.000000,2321,279.0,2376.0,9174,,Network Analysis in Python.,518.0,35,True,2021-04-03 22:22:02.000000,2.5.1,54.0,networkx,conda-forge/networkx,,,,96984.0,76166.0,https://pypi.org/project/networkx,2021-05-31 20:30:58.000000,20818.0,13098902.0,13164895.0,https://anaconda.org/conda-forge/networkx,2021-04-04 01:32:23.917000,3695636.0,,,,,1.0,54.0,,,,,,,,,,,,,,,,,,,,,\n31,joblib,joblib/joblib,,data-pipelines,https://github.com/joblib/joblib,https://github.com/joblib/joblib,BSD-3-Clause,2010-05-07 06:48:26.000000,2021-06-01 09:42:01.000000,2021-06-01 09:42:01.000000,286,291.0,363.0,2451,1374.0,Computing with Python functions.,101.0,35,True,2021-02-09 16:46:29.000000,1.0.1,100.0,joblib,conda-forge/joblib,,,,112641.0,106031.0,https://pypi.org/project/joblib,2021-02-09 16:46:29.000000,6610.0,23123575.0,23193961.0,https://anaconda.org/conda-forge/joblib,2021-02-09 19:26:28.194000,4152812.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n32,MXNet,apache/incubator-mxnet,,ml-frameworks,https://github.com/apache/incubator-mxnet,https://github.com/apache/incubator-mxnet,Apache-2.0,2015-04-30 16:21:15.000000,2021-06-03 13:41:32.000000,2021-06-02 15:15:10.000000,6836,1883.0,7631.0,19485,11601.0,\"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..\",960.0,34,True,2021-03-21 14:56:00.000000,1.8.0,980.0,mxnet,mxnet,,,['mxnet'],2515.0,2071.0,https://pypi.org/project/mxnet,2021-03-31 20:05:38.000000,444.0,243029.0,243566.0,https://anaconda.org/anaconda/mxnet,2020-02-29 00:58:31.007000,6205.0,,,,,2.0,23819.0,,,,,,,,0.0,,,,,,,,,,,,,\n33,luigi,spotify/luigi,,data-pipelines,https://github.com/spotify/luigi,https://github.com/spotify/luigi,Apache-2.0,2012-09-20 15:06:38.000000,2021-05-18 17:38:42.000000,2021-04-16 07:52:49.000000,2246,73.0,843.0,14589,3993.0,\"Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution,..\",556.0,34,True,2021-04-16 09:12:59.000000,3.0.3,72.0,luigi,luigi,,,,2123.0,1447.0,https://pypi.org/project/luigi,2020-09-23 11:57:12.000000,676.0,949401.0,949513.0,https://anaconda.org/anaconda/luigi,2021-04-17 18:49:18.708000,7202.0,,,,,1.0,,,stable/luigi,,,,,,0.0,,,,,,,,,,,,,\n34,pytorch-lightning,PyTorchLightning/pytorch-lightning,,ml-frameworks,https://github.com/PyTorchLightning/pytorch-lightning,https://github.com/PyTorchLightning/pytorch-lightning,Apache-2.0,2019-03-31 00:45:57.000000,2021-06-03 14:11:10.000000,2021-06-02 15:19:10.000000,1613,312.0,3123.0,13728,5002.0,\"The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.\",461.0,34,True,2021-05-26 15:11:35.000000,1.3.3,171.0,pytorch-lightning,conda-forge/pytorch-lightning,,,['pytorch'],3187.0,3173.0,https://pypi.org/project/pytorch-lightning,2021-05-26 15:11:35.000000,14.0,439544.0,451767.0,https://anaconda.org/conda-forge/pytorch-lightning,2021-05-26 18:13:59.046000,144880.0,,,,,2.0,3452.0,,,,,,,,,,,,,,,,,,,,,\n35,shap,slundberg/shap,,interpretability,https://github.com/slundberg/shap,https://github.com/slundberg/shap,MIT,2016-11-22 19:17:08.000000,2021-05-31 21:09:39.000000,2021-05-17 19:05:26.000000,1857,1055.0,530.0,12844,1930.0,A game theoretic approach to explain the output of any machine learning model.,156.0,34,True,2021-03-03 18:38:33.000000,0.39.0,93.0,shap,conda-forge/shap,,,,2808.0,2672.0,https://pypi.org/project/shap,2021-01-15 21:02:34.000000,136.0,2628377.0,2643586.0,https://anaconda.org/conda-forge/shap,2021-04-29 12:11:05.706000,517111.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n36,onnx,onnx/onnx,,model-serialisation,https://github.com/onnx/onnx,https://github.com/onnx/onnx,Apache-2.0,2017-09-07 04:53:45.000000,2021-06-01 16:10:34.000000,2021-05-28 00:50:31.000000,1964,536.0,1047.0,10718,1755.0,Open standard for machine learning interoperability.,200.0,34,True,2021-04-19 19:22:57.000000,1.9.0,21.0,onnx,conda-forge/onnx,,,,3530.0,3234.0,https://pypi.org/project/onnx,2021-04-19 19:22:57.000000,296.0,1555249.0,1561181.0,https://anaconda.org/conda-forge/onnx,2021-05-08 08:02:42.009000,241172.0,,,,,1.0,14277.0,,,,,,,,,,,,,,,,,,,,,\n37,Theano,Theano/Theano,,ml-frameworks,https://github.com/Theano/Theano,https://github.com/Theano/Theano,BSD-3-Clause,2011-08-10 03:48:06.000000,2021-04-29 07:32:59.000000,2021-04-13 19:05:58.000000,2514,674.0,2085.0,9416,28126.0,\"Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving..\",384.0,34,True,2020-07-27 16:13:54.000000,1.0.5,45.0,theano,conda-forge/theano,,,,16544.0,11070.0,https://pypi.org/project/theano,2020-07-27 16:13:54.000000,5474.0,238955.0,264889.0,https://anaconda.org/conda-forge/theano,2021-01-21 21:14:21.756000,1530143.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n38,pydeck,visgl/deck.gl,,geospatial-data,https://github.com/visgl/deck.gl,https://github.com/visgl/deck.gl,MIT,2015-12-15 08:38:29.000000,2021-06-03 13:57:24.000000,2021-06-03 00:01:12.000000,1567,92.0,2050.0,8718,3651.0,WebGL2 powered geospatial visualization layers.,164.0,34,True,2021-05-07 16:22:03.508000,8.4.16,469.0,pydeck,conda-forge/pydeck,,,['jupyter'],2161.0,1599.0,https://pypi.org/project/pydeck,2021-04-13 02:26:45.000000,2.0,285952.0,472023.0,https://anaconda.org/conda-forge/pydeck,2021-04-13 20:41:22.066000,33083.0,,,,,1.0,,,,deck.gl,https://www.npmjs.com/package/deck.gl,2021-05-25 18:30:07.668000,560.0,184004.0,,,,,,,,,,,,,,\n39,dask,dask/dask,,distributed-ml,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000000,2021-06-03 12:56:40.000000,2021-06-03 12:56:40.000000,1279,773.0,3030.0,8397,,Parallel computing with task scheduling.,451.0,34,True,2021-05-28 20:40:50.000000,2021.5.1,118.0,dask,conda-forge/dask,,,,31914.0,27998.0,https://pypi.org/project/dask,2021-05-28 20:40:50.000000,3916.0,3942850.0,3999732.0,https://anaconda.org/conda-forge/dask,2021-05-29 00:34:52.618000,3469841.0,,,,,1.0,,,stable/dask,,,,,,,,,,,,,,,,,,,\n40,rq,rq/rq,,data-pipelines,https://github.com/rq/rq,https://github.com/rq/rq,BSD-3-Clause,2011-11-14 10:53:48.000000,2021-06-02 18:47:57.000000,2021-05-30 11:49:28.000000,1231,150.0,713.0,7753,1574.0,Simple job queues for Python.,238.0,34,True,2021-05-17 07:11:04.000000,1.8.1,65.0,rq,conda-forge/rq,,,,11389.0,8065.0,https://pypi.org/project/rq,2021-05-17 07:07:17.000000,3324.0,484622.0,485519.0,https://anaconda.org/conda-forge/rq,2021-03-31 04:46:34.734000,52973.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n41,scikit-image,scikit-image/scikit-image,,image,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,BSD-2-Clause,2011-07-07 22:07:20.000000,2021-05-31 14:40:49.000000,2021-05-21 16:19:52.000000,1809,702.0,1532.0,4363,,Image processing in Python.,491.0,34,True,2021-01-19 08:17:34.000000,0.18.1,36.0,scikit-image,conda-forge/scikit-image,,,,85124.0,70350.0,https://pypi.org/project/scikit-image,2021-05-06 06:29:38.000000,14774.0,5784750.0,5826143.0,https://anaconda.org/conda-forge/scikit-image,2021-01-21 20:53:16.554000,2525003.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n42,PyFlink,apache/flink,,ml-frameworks,https://github.com/apache/flink,https://github.com/apache/flink,Apache-2.0,2014-06-07 07:00:10.000000,2021-06-03 12:44:57.000000,2021-06-03 11:00:08.000000,9068,573.0,,16361,27023.0,Apache Flink Python API.,1283.0,33,True,2021-05-28 14:53:34.000000,1.13.1,18.0,apache-flink,,,,,289.0,289.0,https://pypi.org/project/apache-flink,2021-05-28 14:53:34.000000,0.0,5842.0,5842.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n43,Ray,ray-project/ray,,distributed-ml,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000000,2021-06-03 14:39:12.000000,2021-06-03 14:17:58.000000,2664,1651.0,5326.0,16141,8225.0,\"An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged..\",491.0,33,True,2021-04-22 22:28:01.000000,ray-1.3.0,45.0,ray,,,,,2369.0,2209.0,https://pypi.org/project/ray,2021-04-22 20:25:11.000000,160.0,360979.0,360979.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n44,Bokeh,bokeh/bokeh,,data-viz,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000000,2021-06-03 03:59:39.000000,2021-05-29 10:39:35.000000,3723,687.0,5904.0,15170,,\"Interactive Data Visualization in the browser, from Python.\",559.0,33,True,2021-05-10 16:59:13.000000,2.3.2,96.0,bokeh,conda-forge/bokeh,,,,40715.0,34843.0,https://pypi.org/project/bokeh,2021-05-10 16:59:13.000000,5872.0,1470865.0,1561983.0,https://anaconda.org/conda-forge/bokeh,2021-05-11 13:20:48.298000,4555931.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n45,tensor2tensor,tensorflow/tensor2tensor,,tensorflow-utils,https://github.com/tensorflow/tensor2tensor,https://github.com/tensorflow/tensor2tensor,Apache-2.0,2017-06-15 16:57:39.000000,2021-05-11 16:44:05.000000,2021-05-11 16:44:00.000000,2872,559.0,666.0,11304,4350.0,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,232.0,33,True,2020-06-17 16:15:36.000000,1.15.7,79.0,tensor2tensor,,,,['tensorflow'],1144.0,980.0,https://pypi.org/project/tensor2tensor,2020-06-17 16:15:36.000000,164.0,605073.0,605073.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n46,mlflow,mlflow/mlflow,,ml-experiments,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000000,2021-06-03 14:23:37.000000,2021-06-02 23:02:27.000000,2053,808.0,1080.0,9510,2023.0,Open source platform for the machine learning lifecycle.,292.0,33,True,2021-05-08 17:36:31.000000,1.17.0,45.0,mlflow,conda-forge/mlflow,,,,154.0,,https://pypi.org/project/mlflow,2021-05-08 17:03:08.000000,154.0,4821768.0,4833960.0,https://anaconda.org/conda-forge/mlflow,2021-05-17 17:37:53.532000,316994.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n47,StatsModels,statsmodels/statsmodels,,ml-frameworks,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000000,2021-06-02 00:52:29.000000,2021-06-02 00:52:29.000000,2256,2115.0,2324.0,6364,,Statsmodels: statistical modeling and econometrics in Python.,318.0,33,True,2021-02-02 11:08:49.000000,0.12.2,25.0,statsmodels,conda-forge/statsmodels,,,,50185.0,43529.0,https://pypi.org/project/statsmodels,2021-02-02 11:08:49.000000,6656.0,4285965.0,4354398.0,https://anaconda.org/conda-forge/statsmodels,2021-02-15 17:38:00.380000,4106013.0,,,,,2.0,25.0,,,,,,,,,,,,,,,,,,,,,\n48,folium,python-visualization/folium,,geospatial-data,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000000,2021-05-24 22:09:16.000000,2021-03-09 08:53:19.000000,1951,167.0,695.0,5291,1474.0,Python Data. Leaflet.js Maps.,121.0,33,True,2021-01-18 17:29:40.000000,0.12.1,25.0,folium,conda-forge/folium,,,,11220.0,10252.0,https://pypi.org/project/folium,2021-01-18 17:29:40.000000,968.0,466365.0,472151.0,https://anaconda.org/conda-forge/folium,2021-03-12 17:41:57.124000,364570.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n49,TensorFlow Datasets,tensorflow/datasets,,data-loading,https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000000,2021-06-03 15:22:19.000000,2021-06-03 14:10:36.000000,1032,454.0,568.0,2863,4016.0,\"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...\",207.0,33,True,2021-05-07 13:09:09.000000,4.3.0,22.0,tensorflow-datasets,,,,['tensorflow'],4991.0,4889.0,https://pypi.org/project/tensorflow-datasets,2021-05-07 11:42:04.000000,102.0,1745666.0,1745666.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n50,Shapely,Toblerity/Shapely,,geospatial-data,https://github.com/Toblerity/Shapely,https://github.com/Toblerity/Shapely,BSD-3-Clause,2011-12-31 19:43:11.000000,2021-06-03 05:27:08.000000,2021-05-28 09:10:42.000000,410,138.0,616.0,2291,1517.0,Manipulation and analysis of geometric objects.,114.0,33,True,2020-12-15 18:27:01.000000,1.7.1,100.0,shapely,conda-forge/shapely,,,,24723.0,19265.0,https://pypi.org/project/shapely,2021-03-04 00:27:13.000000,5458.0,4251047.0,4286139.0,https://anaconda.org/conda-forge/shapely,2021-06-02 19:34:35.262000,2386299.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n51,xarray,pydata/xarray,,data-containers,https://github.com/pydata/xarray,https://github.com/pydata/xarray,Apache-2.0,2013-09-30 17:21:10.000000,2021-06-03 07:32:31.000000,2021-06-03 03:18:28.000000,676,818.0,2059.0,2082,3717.0,N-D labeled arrays and datasets in Python.,319.0,33,True,2021-05-19 21:37:33.000000,0.18.2,59.0,xarray,conda-forge/xarray,,,,7515.0,6383.0,https://pypi.org/project/xarray,2021-05-19 21:37:33.000000,1132.0,594790.0,641298.0,https://anaconda.org/conda-forge/xarray,2021-05-20 01:43:54.980000,2930015.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n52,Airflow,apache/airflow,,data-pipelines,https://github.com/apache/airflow,https://github.com/apache/airflow,Apache-2.0,2015-04-13 18:04:58.000000,2021-06-03 15:24:59.000000,2021-06-03 14:01:39.000000,8538,952.0,2592.0,21930,,\"Platform to programmatically author, schedule, and monitor workflows.\",1879.0,32,True,2021-05-21 12:48:02.000000,2.1.0,78.0,apache-airflow,conda-forge/airflow,apache/airflow,,,294.0,,https://pypi.org/project/apache-airflow,2021-05-21 12:48:02.000000,294.0,1721952.0,2056574.0,https://anaconda.org/conda-forge/airflow,2021-05-22 00:33:35.005000,333321.0,https://hub.docker.com/r/apache/airflow,2021-06-01 10:15:53.944320,250.0,24116379.0,2.0,134638.0,-4.0,stable/airflow,,,,,,,,,,,,,,,,,,,\n53,Fastai,fastai/fastai,,ml-frameworks,https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000000,2021-06-03 09:55:52.000000,2021-05-20 23:27:00.000000,7034,103.0,1373.0,20969,1744.0,The fastai deep learning library.,472.0,32,True,2021-05-04 02:13:56.000000,2.3.1,120.0,fastai,,,,['pytorch'],368.0,,https://pypi.org/project/fastai,2021-05-04 02:13:56.000000,368.0,187806.0,187806.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n54,imgaug,aleju/imgaug,,image,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33.000000,2021-04-15 01:52:46.000000,2020-06-01 14:58:26.000000,2054,241.0,213.0,11234,2913.0,Image augmentation for machine learning experiments.,36.0,32,True,2020-02-06 06:18:40.000000,0.4.0,11.0,imgaug,conda-forge/imgaug,,,,7095.0,6539.0,https://pypi.org/project/imgaug,2020-02-05 20:54:22.000000,556.0,268629.0,270371.0,https://anaconda.org/conda-forge/imgaug,2020-02-14 16:06:53.525000,41811.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n55,dlib,davisking/dlib,,ml-frameworks,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000000,2021-05-23 15:51:09.000000,2021-05-12 11:05:44.000000,2933,39.0,1871.0,10206,7944.0,A toolkit for making real world machine learning and data analysis applications in C++.,166.0,32,False,2021-03-28 13:36:18.000000,19.22,28.0,dlib,conda-forge/dlib,,,,11454.0,10096.0,https://pypi.org/project/dlib,2020-12-04 19:23:04.000000,1358.0,115832.0,121746.0,https://anaconda.org/conda-forge/dlib,2021-04-03 09:47:47.788000,317675.0,,,,,2.0,24573.0,,,,,,,,,,,,,,,,,,,,,\n56,AllenNLP,allenai/allennlp,,nlp,https://github.com/allenai/allennlp,https://github.com/allenai/allennlp,Apache-2.0,2017-05-15 15:52:41.000000,2021-06-03 12:09:08.000000,2021-06-02 23:14:01.000000,2062,96.0,2276.0,10069,2357.0,\"An open-source NLP research library, built on PyTorch.\",243.0,32,True,2021-04-23 00:31:09.000000,2.4.0,191.0,allennlp,,,,['pytorch'],1941.0,1707.0,https://pypi.org/project/allennlp,2021-06-03 12:09:08.000000,234.0,38531.0,38531.0,,,,,,,,1.0,39.0,,,,,,,,,,,,,,,,,,,,,\n57,Datasets,huggingface/datasets,,data-loading,https://github.com/huggingface/datasets,https://github.com/huggingface/datasets,Apache-2.0,2020-03-26 09:23:22.000000,2021-06-03 14:32:27.000000,2021-06-03 14:32:27.000000,933,296.0,485.0,8318,1653.0,\"The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools.\",273.0,32,True,2021-05-27 10:00:14.000000,1.7.0,21.0,datasets,,,,,900.0,882.0,https://pypi.org/project/datasets,2021-05-27 09:58:41.000000,18.0,152856.0,152856.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n58,PyMC3,pymc-devs/pymc3,,probabilistics,https://github.com/pymc-devs/pymc3,https://github.com/pymc-devs/pymc3,Apache-2.0,2009-05-05 09:43:50.000000,2021-06-02 15:35:40.000000,2021-04-05 13:26:07.000000,1371,194.0,2059.0,5808,7691.0,Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara.,313.0,32,True,2021-03-14 22:31:10.000000,3.11.2,33.0,pymc3,conda-forge/pymc3,,,,2851.0,2565.0,https://pypi.org/project/pymc3,2021-03-14 22:31:10.000000,286.0,235633.0,240701.0,https://anaconda.org/conda-forge/pymc3,2021-03-15 13:12:28.868000,283719.0,,,,,1.0,161.0,,,,,,,,,,,,,,,,,,,,,\n59,imbalanced-learn,scikit-learn-contrib/imbalanced-learn,,sklearn-utils,https://github.com/scikit-learn-contrib/imbalanced-learn,https://github.com/scikit-learn-contrib/imbalanced-learn,MIT,2014-08-16 05:08:26.000000,2021-05-31 12:19:53.000000,2021-05-25 16:10:30.000000,1097,37.0,431.0,5267,740.0,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,58.0,32,True,2021-02-18 14:00:33.000000,0.8.0,27.0,imbalanced-learn,conda-forge/imbalanced-learn,,,['sklearn'],5925.0,5645.0,https://pypi.org/project/imbalanced-learn,2021-02-18 13:50:00.000000,280.0,1408111.0,1411136.0,https://anaconda.org/conda-forge/imbalanced-learn,2021-02-18 15:40:00.937000,133113.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n60,CuPy,cupy/cupy,,gpu-utilities,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000000,2021-06-03 14:47:53.000000,2021-06-03 09:30:11.000000,474,337.0,1049.0,5158,21974.0,NumPy & SciPy for GPU.,263.0,32,True,2021-05-27 07:48:21.000000,9.1.0,94.0,cupy,conda-forge/cupy,cupy/cupy,,,934.0,742.0,https://pypi.org/project/cupy,2021-05-27 01:27:15.000000,192.0,77189.0,110176.0,https://anaconda.org/conda-forge/cupy,2021-06-02 18:48:53.391000,635009.0,https://hub.docker.com/r/cupy/cupy,2021-06-03 09:36:39.282848,6.0,50670.0,1.0,16432.0,,,,,,,,,,,,,,,,,,,,,\n61,Beam,apache/beam,,data-pipelines,https://github.com/apache/beam,https://github.com/apache/beam,Apache-2.0,2016-02-02 08:00:06.000000,2021-06-03 14:47:27.000000,2021-06-02 21:26:25.000000,3026,158.0,,4839,32142.0,\"Unified programming model to define and execute data processing pipelines, including ETL, batch and stream processing.\",1060.0,32,True,2021-04-27 17:14:41.000000,2.29.0,34.0,apache-beam,,,,,186.0,,https://pypi.org/project/apache-beam,2021-05-27 02:02:51.000000,186.0,2933042.0,2933042.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n62,Optuna,optuna/optuna,,hyperopt,https://github.com/optuna/optuna,https://github.com/optuna/optuna,MIT,2018-02-21 06:12:56.000000,2021-06-03 12:52:17.000000,2021-06-03 00:16:55.000000,512,164.0,667.0,4621,10060.0,A hyperparameter optimization framework.,138.0,32,True,2021-04-05 03:39:39.000000,2.7.0,37.0,optuna,conda-forge/optuna,,,,1411.0,1359.0,https://pypi.org/project/optuna,2021-04-05 03:39:39.000000,52.0,549096.0,550531.0,https://anaconda.org/conda-forge/optuna,2021-04-05 06:39:55.179000,27280.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n63,xmltodict,martinblech/xmltodict,,data-loading,https://github.com/martinblech/xmltodict,https://github.com/martinblech/xmltodict,MIT,2012-04-17 14:38:21.000000,2021-05-14 13:25:29.000000,2020-04-26 05:15:03.000000,420,70.0,136.0,4421,205.0,Python module that makes working with XML feel like you are working with JSON.,41.0,32,False,2019-02-11 07:00:26.000000,0.12.0,27.0,xmltodict,conda-forge/xmltodict,,,,34054.0,25820.0,https://pypi.org/project/xmltodict,2019-02-11 07:00:26.000000,8234.0,9937887.0,9953261.0,https://anaconda.org/conda-forge/xmltodict,2019-02-11 11:53:14.803000,891703.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n64,geopy,geopy/geopy,,geospatial-data,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000000,2021-05-09 12:07:12.000000,2021-04-17 15:44:06.000000,535,25.0,223.0,3330,1061.0,Geocoding library for Python.,122.0,32,True,2020-12-27 13:15:23.000000,2.1.0,57.0,geopy,conda-forge/geopy,,,,28837.0,21593.0,https://pypi.org/project/geopy,2020-12-27 13:12:21.000000,7244.0,4290431.0,4299142.0,https://anaconda.org/conda-forge/geopy,2020-12-27 14:22:55.127000,548801.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n65,tensorflow-probability,tensorflow/probability,,probabilistics,https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000000,2021-06-03 09:52:59.000000,2021-06-03 03:22:37.000000,889,462.0,580.0,3329,10773.0,Probabilistic reasoning and statistical analysis in TensorFlow.,415.0,32,True,2021-04-19 23:03:58.000000,0.12.2,37.0,tensorflow-probability,conda-forge/tensorflow-probability,,,['tensorflow'],254.0,2.0,https://pypi.org/project/tensorflow-probability,2021-05-21 15:22:50.000000,252.0,1413480.0,1414775.0,https://anaconda.org/conda-forge/tensorflow-probability,2021-04-30 15:17:15.055000,36277.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n66,tensorflow-hub,tensorflow/hub,,tensorflow-utils,https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42.000000,2021-05-31 12:04:20.000000,2021-05-31 12:04:17.000000,1496,34.0,555.0,2828,894.0,A library for transfer learning by reusing parts of TensorFlow models.,69.0,32,True,2021-04-14 13:17:26.000000,0.12.0,15.0,tensorflow-hub,conda-forge/tensorflow-hub,,,['tensorflow'],7270.0,6956.0,https://pypi.org/project/tensorflow-hub,2021-04-14 12:54:13.000000,314.0,2474038.0,2475511.0,https://anaconda.org/conda-forge/tensorflow-hub,2021-04-18 18:01:14.779000,53031.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n67,GeoPandas,geopandas/geopandas,,geospatial-data,https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000000,2021-06-03 13:17:47.000000,2021-06-03 05:58:10.000000,594,324.0,740.0,2641,1398.0,Python tools for geographic data.,141.0,32,True,2021-02-28 21:10:46.000000,0.9.0,37.0,geopandas,conda-forge/geopandas,,,['pandas'],9841.0,8675.0,https://pypi.org/project/geopandas,2021-02-28 21:10:43.000000,1166.0,1195261.0,1211148.0,https://anaconda.org/conda-forge/geopandas,2021-03-01 09:07:56.799000,999851.0,,,,,2.0,1031.0,,,,,,,,,,,,,,,,,,,,,\n68,Thinc,explosion/thinc,,ml-frameworks,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59.000000,2021-06-02 07:01:43.000000,2021-06-01 15:19:28.000000,207,16.0,91.0,2295,4937.0,\"A refreshing functional take on deep learning, compatible with your favorite libraries.\",39.0,32,True,2021-04-19 13:57:59.000000,8.0.3,189.0,thinc,conda-forge/thinc,,,,14820.0,13682.0,https://pypi.org/project/thinc,2021-03-09 12:42:58.000000,1138.0,2092867.0,2121014.0,https://anaconda.org/conda-forge/thinc,2021-04-23 21:53:35.709000,1463677.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n69,python-magic,ahupp/python-magic,,data-loading,https://github.com/ahupp/python-magic,https://github.com/ahupp/python-magic,MIT,2010-03-31 22:40:33.000000,2021-06-03 13:49:22.000000,2021-06-03 13:44:28.000000,221,28.0,136.0,1899,294.0,A python wrapper for libmagic.,52.0,32,True,2021-06-03 13:49:22.000000,0.4.24,24.0,python-magic,conda-forge/python-magic,,,,19912.0,14780.0,https://pypi.org/project/python-magic,2021-06-03 13:49:22.000000,5132.0,2549996.0,2551799.0,https://anaconda.org/conda-forge/python-magic,2021-03-05 04:33:25.716000,90194.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n70,xlrd,python-excel/xlrd,,data-loading,https://github.com/python-excel/xlrd,https://github.com/python-excel/xlrd,BSD-3-Clause,2012-03-07 04:50:48.000000,2021-01-09 20:35:27.639000,2020-12-12 15:24:25.000000,414,3.0,,1896,502.0,Please use openpyxl where you can...,50.0,32,True,2020-12-11 10:14:20.000000,2.0.1,24.0,xlrd,conda-forge/xlrd,,,,86809.0,73235.0,https://pypi.org/project/xlrd,2020-12-11 10:14:20.000000,13574.0,9546644.0,9574831.0,https://anaconda.org/conda-forge/xlrd,2021-01-09 20:35:27.639000,1437570.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n71,Rasterio,mapbox/rasterio,,geospatial-data,https://github.com/mapbox/rasterio,https://github.com/mapbox/rasterio,BSD-3-Clause,2013-11-04 16:36:27.000000,2021-06-03 12:54:14.000000,2021-05-31 23:14:37.000000,412,138.0,1255.0,1503,3339.0,Rasterio reads and writes geospatial raster datasets.,109.0,32,True,2021-05-31 22:14:34.000000,1.2.4,125.0,rasterio,conda-forge/rasterio,,,,4089.0,3239.0,https://pypi.org/project/rasterio,2021-05-31 22:14:34.000000,850.0,582906.0,599798.0,https://anaconda.org/conda-forge/rasterio,2021-06-01 21:29:07.640000,1063592.0,,,,,2.0,732.0,,,,,,,,,,,,,,,,,,,,,\n72,TF Addons,tensorflow/addons,,tensorflow-utils,https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17.000000,2021-06-02 18:29:42.000000,2021-05-29 13:22:09.000000,430,172.0,653.0,1297,1365.0,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,165.0,32,True,2021-05-15 16:45:30.000000,0.13.0,26.0,tensorflow-addons,,,,['tensorflow'],3193.0,3175.0,https://pypi.org/project/tensorflow-addons,2021-05-15 17:10:13.000000,18.0,2615130.0,2615130.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n73,imageio,imageio/imageio,,image,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000000,2021-06-03 10:22:08.000000,2021-05-23 04:54:53.000000,178,73.0,287.0,879,1150.0,Python library for reading and writing image data.,78.0,32,True,2020-07-10 07:45:22.000000,2.9.0,31.0,imageio,conda-forge/imageio,,,,46266.0,42428.0,https://pypi.org/project/imageio,2020-07-06 13:20:41.000000,3838.0,6306138.0,6343614.0,https://anaconda.org/conda-forge/imageio,2020-07-06 14:13:25.518000,1986239.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n74,jieba,fxsjy/jieba,,chinese-nlp,https://github.com/fxsjy/jieba,https://github.com/fxsjy/jieba,MIT,2012-09-29 07:52:01.000000,2021-05-30 19:33:02.597000,2020-02-15 08:33:35.000000,6267,609.0,200.0,26399,523.0,Chinese Words Segmentation Utilities.,48.0,31,False,2020-01-20 14:27:23.000000,0.42.1,32.0,jieba,conda-forge/jieba,,,,12787.0,10271.0,https://pypi.org/project/jieba,2020-01-20 14:27:23.000000,2516.0,382969.0,384582.0,https://anaconda.org/conda-forge/jieba,2021-05-30 19:33:02.597000,80690.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n75,fastText,facebookresearch/fastText,,nlp,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000000,2021-04-29 08:33:10.000000,2020-07-18 00:20:40.000000,4350,452.0,594.0,22630,379.0,Library for fast text representation and classification.,58.0,31,True,2020-04-28 09:54:50.000000,0.9.2,35.0,fasttext,conda-forge/fasttext,,,,2002.0,1812.0,https://pypi.org/project/fasttext,2020-04-28 09:54:50.000000,190.0,491419.0,491872.0,https://anaconda.org/conda-forge/fasttext,2020-10-12 14:55:45.199000,19939.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n76,PaddlePaddle,PaddlePaddle/Paddle,,ml-frameworks,https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000000,2021-06-03 14:06:34.000000,2021-06-03 11:27:11.000000,3765,2616.0,10860.0,15512,15069.0,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,548.0,31,True,2021-05-19 06:44:29.000000,2.1.0,45.0,paddlepaddle,,,,['paddle'],62.0,46.0,https://pypi.org/project/paddlepaddle,2021-05-15 05:36:32.000000,16.0,13666.0,13929.0,,,,,,,,2.0,15282.0,,,,,,,,,,,,,,,,,,,,,\n77,fairseq,pytorch/fairseq,,nlp,https://github.com/pytorch/fairseq,https://github.com/pytorch/fairseq,MIT,2017-08-29 16:26:12.000000,2021-06-01 23:44:01.000000,2021-06-01 23:43:56.000000,3226,856.0,1907.0,12863,1910.0,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,325.0,31,True,2021-01-05 20:26:45.000000,0.10.2,13.0,fairseq,,,,['pytorch'],425.0,405.0,https://pypi.org/project/fairseq,2021-01-05 20:26:45.000000,20.0,24892.0,24895.0,,,,,,,,1.0,134.0,,,,,,,,,,,,,,,,,,,,,\n78,ChatterBot,gunthercox/ChatterBot,,nlp,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00.000000,2021-06-03 01:54:20.000000,2021-06-01 10:43:00.000000,3783,269.0,1235.0,11194,1848.0,\"ChatterBot is a machine learning, conversational dialog engine for creating chat bots.\",103.0,31,True,2020-08-22 18:42:43.000000,1.0.8,86.0,chatterbot,,,,,4186.0,3506.0,https://pypi.org/project/chatterbot,2020-08-22 18:40:36.000000,680.0,22552.0,22552.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n79,flair,flairNLP/flair,,nlp,https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,MIT,2018-06-11 11:04:18.000000,2021-06-01 19:17:41.000000,2021-05-29 19:27:18.000000,1629,95.0,1444.0,10415,3375.0,A very simple framework for state-of-the-art Natural Language Processing (NLP).,199.0,31,True,2021-03-05 11:57:03.000000,0.8,21.0,flair,,,,['pytorch'],823.0,775.0,https://pypi.org/project/flair,2021-03-08 23:08:40.000000,48.0,65992.0,65992.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n80,fuzzywuzzy,seatgeek/fuzzywuzzy,,nlp,https://github.com/seatgeek/fuzzywuzzy,https://github.com/seatgeek/fuzzywuzzy,GPL-2.0,2011-07-08 19:32:34.000000,2021-05-25 22:02:00.000000,2021-02-20 06:36:20.000000,828,97.0,100.0,8132,381.0,Fuzzy String Matching in Python.,68.0,31,False,2020-02-13 22:14:12.000000,0.18.0,27.0,fuzzywuzzy,conda-forge/fuzzywuzzy,,,,12164.0,8958.0,https://pypi.org/project/fuzzywuzzy,2020-02-13 21:06:25.000000,3206.0,4362278.0,4367398.0,https://anaconda.org/conda-forge/fuzzywuzzy,2020-11-18 12:59:01.409000,302131.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n81,DVC,iterative/dvc,,ml-experiments,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000000,2021-06-03 11:17:50.000000,2021-06-02 19:19:58.000000,764,494.0,2486.0,8010,6617.0,Data Version Control | Git for Data & Models | ML Experiments Management.,221.0,31,True,2021-06-02 12:11:06.000000,2.3.0,320.0,dvc,conda-forge/dvc,,,,1097.0,1051.0,https://pypi.org/project/dvc,2021-06-02 12:11:06.000000,46.0,152419.0,184750.0,https://anaconda.org/conda-forge/dvc,2021-06-02 17:58:35.998000,693478.0,,,,,1.0,26164.0,,,,,,,,,dvc,dvc,dvc,,,,,,,,,,\n82,pandas-profiling,pandas-profiling/pandas-profiling,,data-viz,https://github.com/pandas-profiling/pandas-profiling,https://github.com/pandas-profiling/pandas-profiling,MIT,2016-01-09 23:47:55.000000,2021-05-31 17:15:53.000000,2021-05-16 18:36:27.000000,1101,71.0,397.0,7405,852.0,Create HTML profiling reports from pandas DataFrame objects.,77.0,31,True,2021-05-11 22:24:40.000000,3.0.0,30.0,pandas-profiling,conda-forge/pandas-profiling,,,\"['jupyter', 'pandas']\",4409.0,4249.0,https://pypi.org/project/pandas-profiling,2021-05-11 22:24:40.000000,160.0,422194.0,424450.0,https://anaconda.org/conda-forge/pandas-profiling,2021-05-12 01:17:17.354000,130884.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n83,Altair,altair-viz/altair,,data-viz,https://github.com/altair-viz/altair,https://github.com/altair-viz/altair,BSD-3-Clause,2015-09-19 03:14:04.000000,2021-05-16 11:30:15.000000,2021-04-04 16:59:23.000000,580,292.0,1321.0,6680,3065.0,Declarative statistical visualization library for Python.,127.0,31,True,2020-04-01 13:29:16.000000,4.1.0,26.0,altair,conda-forge/altair,,,,12149.0,11779.0,https://pypi.org/project/altair,2020-04-01 13:23:10.000000,370.0,1664039.0,1676573.0,https://anaconda.org/conda-forge/altair,2020-04-01 16:49:36.519000,739518.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n84,Prefect,PrefectHQ/prefect,,data-pipelines,https://github.com/PrefectHQ/prefect,https://github.com/PrefectHQ/prefect,Apache-2.0,2018-06-29 21:59:26.000000,2021-06-03 14:27:27.000000,2021-06-02 18:10:18.000000,595,321.0,1453.0,6365,14002.0,The easiest way to automate your data.,209.0,31,True,2021-06-02 18:10:56.000000,0.14.21,98.0,prefect,conda-forge/prefect,,,,347.0,345.0,https://pypi.org/project/prefect,2021-06-02 18:11:16.000000,2.0,92932.0,96666.0,https://anaconda.org/conda-forge/prefect,2021-05-26 04:23:50.043000,100825.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n85,Catboost,catboost/catboost,,ml-frameworks,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000000,2021-06-03 12:27:39.000000,2021-06-03 12:27:35.000000,898,320.0,1163.0,5884,16469.0,\"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..\",804.0,31,True,2021-04-05 22:23:00.000000,0.25.1,93.0,catboost,conda-forge/catboost,,,,162.0,,https://pypi.org/project/catboost,2021-04-05 22:14:25.000000,162.0,2334654.0,2354847.0,https://anaconda.org/conda-forge/catboost,2021-04-12 10:39:53.915000,700131.0,,,,,2.0,57238.0,,,,,,,,,,,,,,,,,,,,,\n86,Hyperopt,hyperopt/hyperopt,,hyperopt,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59.000000,2021-06-02 01:45:10.000000,2021-06-02 01:45:10.000000,880,344.0,226.0,5651,1177.0,Distributed Asynchronous Hyperparameter Optimization in Python.,88.0,31,True,2020-10-07 09:52:56.000000,0.2.5,11.0,hyperopt,conda-forge/hyperopt,,,,3936.0,3432.0,https://pypi.org/project/hyperopt,2020-10-07 09:52:56.000000,504.0,850361.0,857116.0,https://anaconda.org/conda-forge/hyperopt,2020-10-14 07:57:14.292000,222922.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n87,Pydub,jiaaro/pydub,,audio,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38.000000,2021-05-23 03:32:13.000000,2021-04-21 10:21:41.000000,721,195.0,245.0,5366,741.0,Manipulate audio with a simple and easy high level interface.,90.0,31,True,2021-03-10 02:10:41.000000,0.25.1,68.0,pydub,conda-forge/pydub,,,,8649.0,7295.0,https://pypi.org/project/pydub,2021-03-10 02:09:53.000000,1354.0,691759.0,692273.0,https://anaconda.org/conda-forge/pydub,2021-03-13 05:16:50.142000,15420.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n88,sentencepiece,google/sentencepiece,,nlp,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000000,2021-05-26 06:10:48.000000,2021-05-26 05:45:33.000000,692,38.0,407.0,5087,676.0,Unsupervised text tokenizer for Neural Network-based text generation.,54.0,31,True,2021-01-10 06:29:42.000000,0.1.95,30.0,sentencepiece,conda-forge/sentencepiece,,,,8156.0,7916.0,https://pypi.org/project/sentencepiece,2021-01-10 06:29:42.000000,240.0,2282216.0,2287938.0,https://anaconda.org/conda-forge/sentencepiece,2021-02-09 05:49:50.247000,58338.0,,,,,1.0,14250.0,,,,,,,,,,,,,,,,,,,,,\n89,opencv-python,skvark/opencv-python,,image,https://github.com/opencv/opencv-python,https://github.com/opencv/opencv-python,MIT,2016-04-08 13:36:40.000000,2021-06-03 10:20:27.000000,2021-05-26 08:26:35.000000,383,29.0,401.0,2018,755.0,\"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..\",30.0,31,True,2021-05-06 19:44:42.000000,52,51.0,opencv-python,,,,,12560.0,,https://pypi.org/project/opencv-python,2021-05-07 12:41:47.000000,12560.0,4636669.0,4636669.0,,,,,,,,2.0,,,,,,,,,,,,,opencv/opencv-python,,,,,,,,,\n90,SageMaker SDK,aws/sagemaker-python-sdk,,ml-experiments,https://github.com/aws/sagemaker-python-sdk,https://github.com/aws/sagemaker-python-sdk,Apache-2.0,2017-11-14 01:03:33.000000,2021-06-02 22:12:59.000000,2021-06-01 22:53:19.000000,637,233.0,597.0,1392,2025.0,A library for training and deploying machine learning models on Amazon SageMaker.,205.0,31,True,2021-06-01 22:53:30.000000,2.44.0,339.0,sagemaker,,,,\"['mxnet', 'tensorflow']\",751.0,723.0,https://pypi.org/project/sagemaker,2021-06-01 22:53:30.000000,28.0,613927.0,613927.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n91,dask.distributed,dask/distributed,,distributed-ml,https://github.com/dask/distributed,https://github.com/dask/distributed,BSD-3-Clause,2015-09-13 18:42:29.000000,2021-06-03 14:38:25.000000,2021-06-02 15:38:02.000000,529,811.0,1369.0,1200,,A distributed task scheduler for Dask.,241.0,31,True,2021-05-14 19:19:09.000000,2021.5.0,149.0,distributed,conda-forge/distributed,,,,20295.0,18517.0,https://pypi.org/project/distributed,2021-05-28 20:41:04.000000,1778.0,2727446.0,2799584.0,https://anaconda.org/conda-forge/distributed,2021-05-28 23:44:11.799000,4400428.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n92,Fiona,Toblerity/Fiona,,geospatial-data,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00.000000,2021-06-01 23:16:31.000000,2021-06-01 23:16:19.000000,175,80.0,562.0,812,1263.0,Fiona reads and writes geographic data files.,65.0,31,True,2021-05-31 23:04:33.000000,1.8.20,98.0,fiona,conda-forge/fiona,,,,7068.0,5880.0,https://pypi.org/project/fiona,2021-05-31 23:04:33.000000,1188.0,1526290.0,1557696.0,https://anaconda.org/conda-forge/fiona,2021-06-01 19:48:43.667000,1978611.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n93,pyproj,pyproj4/pyproj,,geospatial-data,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000000,2021-06-03 10:12:59.213000,2021-05-25 00:43:23.000000,153,10.0,404.0,620,1163.0,Python interface to PROJ (cartographic projections and coordinate transformations library).,41.0,31,True,2021-05-24 21:05:22.000000,3.1.0,35.0,pyproj,conda-forge/pyproj,,,,12332.0,9870.0,https://pypi.org/project/pyproj,2021-05-24 21:05:22.000000,2462.0,2797662.0,2831289.0,https://anaconda.org/conda-forge/pyproj,2021-06-03 10:12:59.213000,2219435.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n94,snowballstemmer,snowballstem/snowball,,nlp,https://github.com/snowballstem/snowball,https://github.com/snowballstem/snowball,BSD-3-Clause,2013-02-23 07:17:42.000000,2021-05-31 05:45:18.000000,2021-05-31 05:42:16.000000,140,19.0,43.0,501,853.0,Snowball compiler and stemming algorithms.,26.0,31,True,2021-01-21 11:43:00.000000,2.1.0,9.0,snowballstemmer,conda-forge/snowballstemmer,,,,63635.0,50453.0,https://pypi.org/project/snowballstemmer,2021-01-21 11:43:00.000000,13182.0,5727843.0,5772284.0,https://anaconda.org/conda-forge/snowballstemmer,2021-01-21 23:16:54.597000,2577605.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n95,Keras,keras-team/keras,,ml-frameworks,https://github.com/keras-team/keras,https://github.com/keras-team/keras,MIT,2015-03-28 00:35:42.000000,2021-06-02 20:21:56.000000,2021-05-27 23:46:08.000000,18724,3307.0,7258.0,51278,5494.0,Deep Learning for humans.,907.0,30,True,2020-06-24 22:40:48.000000,2.4.3,50.0,keras,conda-forge/keras,,https://keras.io,['tensorflow'],0.0,,https://pypi.org/project/keras,2021-04-12 23:09:14.000000,0.0,3270160.0,3298915.0,https://anaconda.org/conda-forge/keras,2021-04-19 19:56:38.549000,1667805.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n96,Face Recognition,ageitgey/face_recognition,,image,https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39.000000,2021-06-02 08:09:58.000000,2020-09-26 15:32:59.000000,11024,592.0,540.0,40177,211.0,The world's simplest facial recognition api for Python and the command line.,45.0,30,True,2018-08-21 18:34:21.000000,1.2.3,21.0,face_recognition,,,,['pytorch'],406.0,,https://pypi.org/project/face_recognition,2018-08-21 18:34:21.000000,406.0,61522.0,61530.0,,,,,,,,2.0,442.0,,,,,,,,,,,,,,,,,,,,,\n97,zipline,quantopian/zipline,,financial-data,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29.000000,2021-04-18 22:05:29.000000,2020-10-14 16:36:49.000000,4040,341.0,650.0,13986,6226.0,\"Zipline, a Pythonic Algorithmic Trading Library.\",152.0,30,True,2020-10-05 15:46:20.429000,1.4.1,30.0,zipline,,,,,888.0,730.0,https://pypi.org/project/zipline,2020-10-05 15:46:20.429000,158.0,6837.0,6837.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n98,pyecharts,pyecharts/pyecharts,,data-viz,https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000000,2021-05-07 10:24:17.000000,2021-05-07 10:24:17.000000,2428,39.0,1393.0,11038,1515.0,Python Echarts Plotting Library.,30.0,30,True,2020-10-29 15:14:08.000000,1.9.0,66.0,pyecharts,,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,['jupyter'],1922.0,1640.0,https://pypi.org/project/pyecharts,2020-10-29 15:14:08.000000,282.0,57527.0,57527.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n99,Dopamine,google/dopamine,,reinforcement-learning,https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36.000000,2021-05-07 20:10:21.000000,2021-05-07 20:10:19.000000,1254,82.0,78.0,9414,234.0,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,14.0,30,True,2021-03-03 22:26:11.000000,3.1.10,37.0,dopamine-rl,,,,['tensorflow'],62.0,,https://pypi.org/project/dopamine-rl,2021-04-08 17:53:18.000000,62.0,7016868.0,7016868.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n100,Annoy,spotify/annoy,,nn-search,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40.000000,2021-05-27 13:22:11.000000,2021-05-27 13:22:11.000000,904,37.0,276.0,8570,812.0,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,69.0,30,True,2020-09-18 16:07:59.000000,1.17.0,43.0,annoy,,,,,1957.0,1597.0,https://pypi.org/project/annoy,2020-09-18 16:07:59.000000,360.0,602819.0,602819.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n101,wordcloud,amueller/word_cloud,,data-viz,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59.000000,2021-03-21 10:56:17.000000,2021-03-01 23:14:14.000000,2079,100.0,350.0,8103,543.0,A little word cloud generator in Python.,61.0,30,True,2020-11-11 21:41:02.000000,1.8.1,16.0,wordcloud,conda-forge/wordcloud,,,,12503.0,11399.0,https://pypi.org/project/wordcloud,2020-11-11 21:41:02.000000,1104.0,444379.0,448114.0,https://anaconda.org/conda-forge/wordcloud,2021-01-14 18:03:24.960000,216671.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n102,Albumentations,albumentations-team/albumentations,,image,https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000000,2021-06-03 10:24:10.000000,2021-06-01 11:27:36.000000,1024,207.0,267.0,8072,640.0,Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation:..,78.0,30,True,2021-06-01 11:31:11.000000,1.0.0,45.0,albumentations,conda-forge/albumentations,,,['pytorch'],3999.0,3871.0,https://pypi.org/project/albumentations,2021-06-01 11:31:11.000000,128.0,157538.0,158329.0,https://anaconda.org/conda-forge/albumentations,2021-06-01 14:34:45.754000,19000.0,,,,,2.0,,2.0,,,,,,,,,,,,,,,,,,,,\n103,TextBlob,sloria/TextBlob,,nlp,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18.000000,2021-05-21 12:13:40.000000,2021-05-10 13:15:20.000000,995,85.0,151.0,7688,535.0,\"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..\",34.0,30,True,2019-02-24 23:03:17.000000,0.15.3,55.0,textblob,conda-forge/textblob,,,,14968.0,12476.0,https://pypi.org/project/textblob,2019-02-24 23:03:17.000000,2492.0,545291.0,547394.0,https://anaconda.org/conda-forge/textblob,2019-02-24 23:32:55.233000,122002.0,,,,,2.0,90.0,,,,,,,,,,,,,,,,,,,,,\n104,glfw,glfw/glfw,,image,https://github.com/glfw/glfw,https://github.com/glfw/glfw,Zlib,2013-04-18 15:24:53.000000,2021-06-03 12:02:24.000000,2021-05-14 17:02:25.000000,2824,449.0,1018.0,7685,4249.0,\"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.\",168.0,30,False,2021-04-08 17:55:06.000000,3.3.4,38.0,glfw,conda-forge/glfw,,,,214.0,,https://pypi.org/project/glfw,2021-02-28 20:43:49.000000,214.0,60832.0,93066.0,https://anaconda.org/conda-forge/glfw,2021-04-08 18:43:30.580000,32072.0,,,,,2.0,2331684.0,,,,,,,,,,,,,,,,,,,,,\n105,Vowpal Wabbit,VowpalWabbit/vowpal_wabbit,,ml-frameworks,https://github.com/VowpalWabbit/vowpal_wabbit,https://github.com/VowpalWabbit/vowpal_wabbit,BSD-3-Clause,2009-07-31 19:36:58.000000,2021-06-03 14:09:33.000000,2021-06-03 13:38:19.000000,1731,141.0,914.0,7557,9199.0,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,300.0,30,True,2021-04-13 13:14:52.000000,8.10.1,16.0,vowpalwabbit,,,,,154.0,138.0,https://pypi.org/project/vowpalwabbit,2021-04-13 13:14:52.000000,16.0,17696.0,17696.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n106,MoviePy,Zulko/moviepy,,image,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000000,2021-06-02 15:38:21.000000,2021-06-02 15:38:21.000000,1033,337.0,742.0,7530,1061.0,Video editing with Python.,142.0,30,True,2020-05-07 16:29:35.000000,1.0.3,84.0,moviepy,conda-forge/moviepy,,,,8805.0,7675.0,https://pypi.org/project/moviepy,2020-10-05 00:26:29.000000,1130.0,821707.0,823446.0,https://anaconda.org/conda-forge/moviepy,2020-02-23 19:57:49.975000,81767.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n107,tensorboardX,lanpa/tensorboardX,,ml-experiments,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19.000000,2021-06-02 15:47:29.000000,2021-04-03 15:54:51.000000,795,63.0,356.0,6979,468.0,\"tensorboard for pytorch (and chainer, mxnet, numpy, ...).\",65.0,30,True,2021-04-25 09:18:11.000000,2.2,13.0,tensorboardX,conda-forge/tensorboardx,,,,13728.0,12394.0,https://pypi.org/project/tensorboardX,2020-07-05 16:22:14.000000,1334.0,906399.0,915651.0,https://anaconda.org/conda-forge/tensorboardx,2021-04-06 13:33:53.253000,379108.0,,,,,2.0,327.0,,,,,,,,,,,,,,,,,,,,,\n108,Chainer,chainer/chainer,,ml-frameworks,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37.000000,2021-02-17 11:20:21.000000,2021-02-17 11:20:21.000000,1374,18.0,2020.0,5579,30575.0,A flexible framework of neural networks for deep learning.,318.0,30,True,2021-01-13 10:14:54.000000,7.0.0.post1,109.0,chainer,,,,,2997.0,2255.0,https://pypi.org/project/chainer,2021-01-13 09:29:55.000000,742.0,26538.0,26538.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n109,Autograd,HIPS/autograd,,others,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23.000000,2021-04-22 18:19:00.000000,2021-03-03 09:27:58.000000,754,164.0,218.0,5267,1376.0,Efficiently computes derivatives of numpy code.,51.0,30,True,2017-08-24 17:00:41.000000,1.1.13,24.0,autograd,conda-forge/autograd,,,,2343.0,1999.0,https://pypi.org/project/autograd,2019-07-25 16:21:07.000000,344.0,947733.0,950717.0,https://anaconda.org/conda-forge/autograd,2019-07-25 18:29:55.493000,173110.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n110,UMAP,lmcinnes/umap,,data-viz,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17.000000,2021-05-30 16:02:41.000000,2021-05-30 16:02:41.000000,532,253.0,255.0,4755,1407.0,Uniform Manifold Approximation and Projection.,82.0,30,True,2021-02-08 21:04:43.000000,0.5.1,35.0,umap-learn,,,,,3265.0,3039.0,https://pypi.org/project/umap-learn,2021-02-08 21:04:43.000000,226.0,436714.0,436714.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n111,Tablib,jazzband/tablib,,data-loading,https://github.com/jazzband/tablib,https://github.com/jazzband/tablib,MIT,2011-03-28 02:36:50.000000,2021-03-01 12:38:44.000000,2021-03-01 12:38:44.000000,565,33.0,198.0,3959,1124.0,\"Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c.\",111.0,30,True,2020-12-05 14:56:28.000000,3.0.0,38.0,tablib,conda-forge/tablib,,,,12868.0,10510.0,https://pypi.org/project/tablib,2020-12-05 14:56:28.000000,2358.0,800821.0,801955.0,https://anaconda.org/conda-forge/tablib,2020-12-05 16:40:48.469000,62416.0,,,,,2.0,,-2.0,,,,,,,,,,,,,,,,,,,,\n112,PyCaret,pycaret/pycaret,,ml-experiments,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000000,2021-06-03 07:13:50.000000,2021-06-02 19:51:48.000000,785,142.0,746.0,3518,1765.0,\"An open-source, low-code machine learning library in Python.\",51.0,30,True,2021-04-28 12:36:06.000000,2.3.1,70.0,pycaret,,,,,964.0,964.0,https://pypi.org/project/pycaret,2021-04-28 12:36:06.000000,0.0,72307.0,72343.0,,,,,,,,2.0,404.0,,,,,,,,,,,,,,,,,,,,,\n113,dbt,fishtown-analytics/dbt,,data-pipelines,https://github.com/fishtown-analytics/dbt,https://github.com/fishtown-analytics/dbt,Apache-2.0,2016-03-10 02:38:00.000000,2021-06-03 14:58:53.000000,2021-06-02 20:02:10.000000,579,348.0,1601.0,3013,2481.0,dbt (data build tool) enables data analysts and engineers to transform their data using the same practices that..,156.0,30,True,2021-03-31 18:19:23.000000,0.19.1,152.0,dbt,conda-forge/dbt,,,,300.0,282.0,https://pypi.org/project/dbt,2021-05-03 11:33:43.000000,18.0,305893.0,308936.0,https://anaconda.org/conda-forge/dbt,2021-05-04 13:04:32.097000,167390.0,,,,,2.0,,,,,,,,,,dbt,,,,,,,,,,,,\n114,wandb client,wandb/client,,ml-experiments,https://github.com/wandb/client,https://github.com/wandb/client,MIT,2017-03-24 05:46:23.000000,2021-06-03 08:50:50.000000,2021-06-01 22:51:51.000000,219,319.0,815.0,3009,4003.0,A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.,80.0,30,True,2021-05-27 21:53:30.000000,0.10.31,201.0,wandb,,,,,3251.0,3173.0,https://pypi.org/project/wandb,2021-05-27 21:49:22.000000,78.0,355535.0,355535.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n115,torchtext,pytorch/text,,nlp,https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000000,2021-06-03 11:45:25.000000,2021-06-02 13:16:30.000000,635,307.0,324.0,2774,824.0,Data loaders and abstractions for text and NLP.,108.0,30,True,2021-03-25 17:19:08.000000,0.9.1-rc1,14.0,torchtext,,,,['pytorch'],5408.0,4726.0,https://pypi.org/project/torchtext,2021-03-25 16:29:43.000000,682.0,125967.0,125967.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n116,PyQtGraph,pyqtgraph/pyqtgraph,,data-viz,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21.000000,2021-06-03 05:15:49.000000,2021-06-02 16:19:28.000000,825,279.0,556.0,2441,2742.0,Fast data visualization and GUI tools for scientific / engineering applications.,197.0,30,True,2021-04-07 01:54:38.000000,pyqtgraph-0.12.1,14.0,pyqtgraph,conda-forge/pyqtgraph,,,,890.0,,https://pypi.org/project/pyqtgraph,2021-04-07 02:34:28.000000,890.0,66383.0,69772.0,https://anaconda.org/conda-forge/pyqtgraph,2021-04-07 05:35:51.854000,179623.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n117,AzureML SDK,Azure/MachineLearningNotebooks,,ml-experiments,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000000,2021-05-28 18:37:47.000000,2021-05-28 15:04:58.000000,1730,155.0,942.0,2317,1126.0,Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft.,56.0,30,True,2021-05-10 17:48:53.000000,1.28.0,75.0,azureml-sdk,,,,,60.0,,https://pypi.org/project/azureml-sdk,2021-05-24 16:49:56.000000,60.0,634466.0,634479.0,,,,,,,,2.0,418.0,,,,,,,,,,,,,,,,,,,,,\n118,scikit-optimize,scikit-optimize/scikit-optimize,,hyperopt,https://github.com/scikit-optimize/scikit-optimize,https://github.com/scikit-optimize/scikit-optimize,BSD-3-Clause,2016-03-20 21:10:54.000000,2021-05-12 09:08:10.000000,2021-05-11 07:02:47.000000,396,205.0,371.0,2115,1561.0,Sequential model-based optimization with a `scipy.optimize` interface.,73.0,30,True,2020-09-04 09:08:10.000000,0.8.1,22.0,scikit-optimize,conda-forge/scikit-optimize,,,,1827.0,1667.0,https://pypi.org/project/scikit-optimize,2020-09-04 09:08:10.000000,160.0,1100766.0,1107186.0,https://anaconda.org/conda-forge/scikit-optimize,2020-09-04 09:50:52.372000,301764.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n119,smart-open,RaRe-Technologies/smart_open,,data-loading,https://github.com/RaRe-Technologies/smart_open,https://github.com/RaRe-Technologies/smart_open,MIT,2015-01-02 13:05:52.000000,2021-05-25 02:57:42.000000,2021-05-25 03:01:43.000000,290,60.0,253.0,2069,933.0,\"Utils for streaming large files (S3, HDFS, gzip, bz2...).\",81.0,30,True,2021-05-25 02:57:42.000000,5.1.0,49.0,smart-open,,,,,640.0,,https://pypi.org/project/smart-open,2021-05-25 02:57:42.000000,640.0,10977093.0,10977093.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n120,numexpr,pydata/numexpr,,data-containers,https://github.com/pydata/numexpr,https://github.com/pydata/numexpr,MIT,2013-11-30 22:33:48.000000,2021-03-05 20:56:41.232000,2021-03-03 18:33:11.000000,166,54.0,251.0,1591,686.0,\"Fast numerical array expression evaluator for Python, NumPy, PyTables, pandas, bcolz and more.\",57.0,30,True,2021-03-03 18:13:19.000000,2.7.3,40.0,numexpr,conda-forge/numexpr,,,,5482.0,,https://pypi.org/project/numexpr,2021-03-03 18:13:19.000000,5482.0,1318903.0,1363436.0,https://anaconda.org/conda-forge/numexpr,2021-03-05 20:56:41.232000,2582946.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n121,Geocoder,DenisCarriere/geocoder,,geospatial-data,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21.000000,2020-12-30 04:09:42.000000,2018-10-12 15:53:05.000000,260,90.0,217.0,1363,1251.0,Python Geocoder.,74.0,30,False,2018-04-04 12:34:51.000000,1.38.1,108.0,geocoder,conda-forge/geocoder,,,,4287.0,3443.0,https://pypi.org/project/geocoder,2018-04-04 12:34:51.000000,844.0,1455976.0,1457697.0,https://anaconda.org/conda-forge/geocoder,2019-06-27 16:40:50.469000,89532.0,,,,,2.0,,,,,,,,,,,,,,geocoder,,,,,,,,\n122,Wand,emcconville/wand,,image,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000000,2021-06-03 02:29:40.000000,2021-06-03 02:29:32.000000,183,16.0,330.0,1087,1700.0,The ctypes-based simple ImageMagick binding for Python.,95.0,30,True,2021-02-28 13:13:25.000000,0.6.6,48.0,wand,,,,,5961.0,4791.0,https://pypi.org/project/wand,2021-02-28 12:46:37.000000,1170.0,319563.0,319731.0,,,,,,,,2.0,5215.0,,,,,,,,,,,,,,,,,,,,,\n123,Bottleneck,pydata/bottleneck,,data-containers,https://github.com/pydata/bottleneck,https://github.com/pydata/bottleneck,BSD-2-Clause,2010-11-27 23:21:22.000000,2021-06-02 16:55:46.000000,2021-01-24 18:39:03.000000,66,30.0,177.0,617,1241.0,Fast NumPy array functions written in C.,21.0,30,True,2020-02-21 06:22:16.000000,1.3.2,21.0,Bottleneck,conda-forge/bottleneck,,,,25270.0,22378.0,https://pypi.org/project/Bottleneck,2020-02-21 06:22:16.000000,2892.0,581193.0,606863.0,https://anaconda.org/conda-forge/bottleneck,2021-01-21 02:48:32.623000,1565904.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n124,Magenta,magenta/magenta,,audio,https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40.000000,2021-05-26 16:33:26.000000,2021-05-26 16:33:17.000000,3425,307.0,554.0,16675,1389.0,Magenta: Music and Art Generation with Machine Intelligence.,149.0,29,True,2020-11-12 19:17:18.000000,2.1.3,66.0,magenta,,,,['tensorflow'],366.0,296.0,https://pypi.org/project/magenta,2020-11-12 19:17:18.000000,70.0,4904.0,4904.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n125,detectron2,facebookresearch/detectron2,,image,https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000000,2021-06-02 21:04:17.000000,2021-06-02 21:04:12.000000,4318,98.0,2379.0,16664,1160.0,\"Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.\",160.0,29,True,2021-03-13 01:36:49.000000,0.4,8.0,,conda-forge/detectron2,,,['pytorch'],247.0,247.0,,,,,1604.0,https://anaconda.org/conda-forge/detectron2,2021-04-30 18:28:16.538000,20853.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n126,Faiss,facebookresearch/faiss,,nn-search,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000000,2021-06-02 14:45:40.000000,2021-05-31 07:04:42.000000,2180,129.0,1371.0,13668,549.0,A library for efficient similarity search and clustering of dense vectors.,86.0,29,True,2021-05-28 12:08:37.000000,1.1.1,48.0,pymilvus,conda-forge/faiss,,,,399.0,393.0,https://pypi.org/project/pymilvus,2021-05-28 12:08:37.000000,6.0,16332.0,24660.0,https://anaconda.org/conda-forge/faiss,2021-04-19 13:07:02.042000,108273.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n127,Prophet,facebook/prophet,,time-series-data,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000000,2021-06-01 09:55:36.000000,2021-05-11 23:44:25.000000,3647,79.0,1532.0,12821,667.0,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,132.0,29,True,2021-04-02 23:45:16.000000,1.0,14.0,fbprophet,,,,,150.0,,https://pypi.org/project/fbprophet,2020-09-05 16:12:50.000000,150.0,854991.0,855002.0,,,,,,,,1.0,605.0,,,,,,,,,,,,,,,,,,,,,\n128,EasyOCR,JaidedAI/EasyOCR,,ocr,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000000,2021-05-30 16:50:29.000000,2021-05-30 08:52:30.000000,1317,114.0,207.0,11603,407.0,\"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..\",78.0,29,True,2021-05-30 08:55:54.000000,1.3.2,23.0,easyocr,,,,,273.0,273.0,https://pypi.org/project/easyocr,2021-05-30 08:55:54.000000,0.0,21991.0,47383.0,,,,,,,,1.0,304708.0,,,,,,,,,,,,,,,,,,,,,\n129,horovod,horovod/horovod,,distributed-ml,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000000,2021-06-03 01:59:58.000000,2021-06-02 22:22:02.000000,1827,235.0,1564.0,11268,956.0,\"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.\",121.0,29,True,2021-05-19 15:17:41.000000,0.22.0,65.0,horovod,,,,,411.0,371.0,https://pypi.org/project/horovod,2021-05-18 23:28:48.000000,40.0,40964.0,40964.0,,,,,,,,2.0,,,stable/horovod,,,,,,,,,,,,,,,,,,,\n130,PyTorch Geometric,rusty1s/pytorch_geometric,,graph,https://github.com/rusty1s/pytorch_geometric,https://github.com/rusty1s/pytorch_geometric,MIT,2017-10-06 16:03:03.000000,2021-06-01 22:39:29.000000,2021-06-01 09:10:02.000000,1925,774.0,1242.0,11179,4521.0,Geometric Deep Learning Extension Library for PyTorch.,166.0,29,True,2021-04-09 08:44:51.000000,1.7.0,26.0,torch-geometric,,,,['pytorch'],24.0,,https://pypi.org/project/torch-geometric,2020-12-02 14:54:13.000000,24.0,40022.0,40022.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n131,TFlearn,tflearn/tflearn,,ml-frameworks,https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,MIT,2016-03-31 12:05:53.000000,2021-01-25 09:41:59.000000,2020-11-30 04:34:51.000000,2429,563.0,362.0,9540,613.0,Deep learning library featuring a higher-level API for TensorFlow.,128.0,29,True,2020-11-11 19:26:11.000000,0.5.0,8.0,tflearn,,,,['tensorflow'],4265.0,3303.0,https://pypi.org/project/tflearn,2020-11-11 19:13:47.000000,962.0,21004.0,21004.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n132,Sonnet,deepmind/sonnet,,ml-frameworks,https://github.com/deepmind/sonnet,https://github.com/deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35.000000,2021-06-01 18:29:56.000000,2021-06-01 18:29:10.000000,1271,19.0,137.0,8869,545.0,TensorFlow-based neural network library.,52.0,29,True,2020-03-27 10:36:19.000000,2.0.0,27.0,dm-sonnet,conda-forge/sonnet,,,['tensorflow'],674.0,592.0,https://pypi.org/project/dm-sonnet,2020-03-27 10:36:10.000000,82.0,72389.0,72890.0,https://anaconda.org/conda-forge/sonnet,2020-11-14 18:13:23.843000,9522.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n133,Lime,marcotcr/lime,,interpretability,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10.000000,2021-05-26 05:01:13.000000,2021-01-12 16:12:17.000000,1402,63.0,448.0,8790,508.0,Lime: Explaining the predictions of any machine learning classifier.,57.0,29,True,2020-04-03 22:05:03.000000,0.2.0.0,38.0,lime,conda-forge/lime,,,,1416.0,1288.0,https://pypi.org/project/lime,2020-06-26 21:38:15.000000,128.0,295800.0,297155.0,https://anaconda.org/conda-forge/lime,2020-06-28 01:02:41.538000,73173.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n134,AutoKeras,keras-team/autokeras,,hyperopt,https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20.000000,2021-05-31 22:55:58.000000,2021-05-31 22:55:57.000000,1291,79.0,670.0,7989,1259.0,AutoML library for deep learning.,129.0,29,True,2021-05-31 22:48:07.000000,1.0.14,48.0,autokeras,,,,['tensorflow'],199.0,185.0,https://pypi.org/project/autokeras,2021-05-31 22:48:07.000000,14.0,23486.0,23487.0,,,,,,,,1.0,45.0,2.0,,,,,,,,,,,,,,,,,,,,\n135,Modin,modin-project/modin,,data-containers,https://github.com/modin-project/modin,https://github.com/modin-project/modin,Apache-2.0,2018-06-21 21:35:05.000000,2021-06-03 14:45:55.000000,2021-06-03 14:33:16.000000,429,525.0,1242.0,6094,1385.0,Modin: Speed up your Pandas workflows by changing a single line of code.,75.0,29,True,2021-03-16 02:04:13.000000,0.9.1,37.0,modin,,,,['pandas'],395.0,377.0,https://pypi.org/project/modin,2021-03-04 23:04:25.000000,18.0,167358.0,172942.0,,,,,,,,2.0,195454.0,,,,,,,,,,,,,,,,,,,,,\n136,tensorpack,tensorpack/tensorpack,,ml-frameworks,https://github.com/tensorpack/tensorpack,https://github.com/tensorpack/tensorpack,Apache-2.0,2015-12-25 23:08:44.000000,2021-05-07 09:16:06.000000,2021-05-07 09:15:27.000000,1782,10.0,1317.0,6018,2933.0,\"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.\",55.0,29,True,2020-04-24 19:01:06.000000,0.10.1,37.0,tensorpack,,,,['tensorflow'],856.0,780.0,https://pypi.org/project/tensorpack,2021-01-22 08:44:03.000000,76.0,18492.0,18494.0,,,,,,,,2.0,120.0,,,,,,,,,,,,,,,,,,,,,\n137,SpeechRecognition,Uberi/speech_recognition,,audio,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54.000000,2021-02-28 19:52:57.000000,2019-07-02 17:29:47.000000,1931,225.0,271.0,5658,360.0,\"Speech recognition module for Python, supporting several engines and APIs, online and offline.\",41.0,29,False,2017-12-05 14:05:14.000000,3.8.1,52.0,SpeechRecognition,conda-forge/speechrecognition,,,,9691.0,8603.0,https://pypi.org/project/SpeechRecognition,2017-12-05 13:58:29.000000,1088.0,175984.0,177945.0,https://anaconda.org/conda-forge/speechrecognition,2021-01-11 17:26:33.040000,113776.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n138,faust,robinhood/faust,,data-pipelines,https://github.com/robinhood/faust,https://github.com/robinhood/faust,BSD-3-Clause,2017-03-08 18:36:11.000000,2021-05-19 11:10:15.000000,2020-10-09 12:59:42.000000,464,236.0,227.0,5568,4137.0,Python Stream Processing.,91.0,29,True,2020-02-25 22:57:18.000000,1.10.4,46.0,faust,,,,,787.0,759.0,https://pypi.org/project/faust,2020-02-25 22:57:18.000000,28.0,819059.0,819059.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n139,sentence-transformers,UKPLab/sentence-transformers,,nlp,https://github.com/UKPLab/sentence-transformers,https://github.com/UKPLab/sentence-transformers,Apache-2.0,2019-07-24 10:53:51.000000,2021-06-02 12:20:06.000000,2021-05-28 11:50:32.000000,983,426.0,464.0,5202,830.0,Multilingual Sentence & Image Embeddings with BERT.,49.0,29,True,2021-05-24 19:00:48.000000,1.2.0,37.0,sentence-transformers,,,,['pytorch'],1087.0,1087.0,https://pypi.org/project/sentence-transformers,2021-05-24 19:00:48.000000,0.0,378700.0,378700.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n140,yfinance,ranaroussi/yfinance,,financial-data,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000000,2021-05-29 23:22:12.000000,2021-05-29 22:16:22.000000,1254,323.0,231.0,5057,,Yahoo! Finance market data downloader (+faster Pandas Datareader).,38.0,29,True,2021-03-25 00:43:03.000000,0.1.59,24.0,yfinance,ranaroussi/yfinance,,,,4884.0,4858.0,https://pypi.org/project/yfinance,2021-03-25 00:43:03.000000,26.0,224523.0,226707.0,https://anaconda.org/ranaroussi/yfinance,2019-12-27 21:30:44.606000,48061.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n141,TinyDB,msiemens/tinydb,,data-containers,https://github.com/msiemens/tinydb,https://github.com/msiemens/tinydb,MIT,2013-07-12 23:31:13.000000,2021-05-17 18:47:54.000000,2021-05-17 18:47:50.000000,384,10.0,250.0,4346,617.0,TinyDB is a lightweight document oriented database optimized for your happiness :).,65.0,29,True,2021-02-11 19:31:26.000000,4.4.0,59.0,tinydb,conda-forge/tinydb,,,,1118.0,,https://pypi.org/project/tinydb,2021-02-11 19:31:24.000000,1118.0,273750.0,275769.0,https://anaconda.org/conda-forge/tinydb,2021-02-11 21:20:33.462000,121172.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n142,Kornia,kornia/kornia,,image,https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000000,2021-06-03 13:17:11.000000,2021-06-01 08:51:48.000000,404,94.0,315.0,4084,1597.0,Open Source Differentiable Computer Vision Library for PyTorch.,105.0,29,True,2021-05-30 08:42:05.000000,0.5.3,16.0,kornia,,,,['pytorch'],417.0,417.0,https://pypi.org/project/kornia,2021-05-30 08:42:05.000000,0.0,88992.0,88992.0,,,,,,,,2.0,20.0,,,,,,,,,,,,,,,,,,,,,\n143,kaggle,Kaggle/kaggle-api,,ml-experiments,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000000,2021-05-20 20:10:29.000000,2021-03-15 15:49:05.000000,806,177.0,123.0,4075,145.0,Official Kaggle API.,36.0,29,True,2021-03-13 00:50:03.000000,1.5.12,48.0,kaggle,conda-forge/kaggle,,,,6115.0,5551.0,https://pypi.org/project/kaggle,2021-03-13 00:50:03.000000,564.0,190672.0,193015.0,https://anaconda.org/conda-forge/kaggle,2021-03-16 16:09:03.613000,58588.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n144,Kedro,quantumblacklabs/kedro,,data-pipelines,https://github.com/quantumblacklabs/kedro,https://github.com/quantumblacklabs/kedro,Apache-2.0,2019-04-18 10:29:56.000000,2021-05-31 13:33:35.000000,2021-05-27 14:24:37.000000,456,43.0,435.0,3943,1242.0,\"A Python framework for creating reproducible, maintainable and modular data science code.\",111.0,29,True,2021-04-21 15:12:51.000000,0.17.3,27.0,kedro,,,,,499.0,483.0,https://pypi.org/project/kedro,2021-04-21 15:12:51.000000,16.0,179968.0,179968.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n145,Tesseract,madmaze/pytesseract,,ocr,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000000,2021-05-31 19:04:05.000000,2021-05-31 19:04:05.000000,523,9.0,254.0,3622,391.0,Python-tesseract is an optical character recognition (OCR) tool for python.,38.0,29,True,2020-12-15 05:24:52.000000,0.3.7,24.0,pytesseract,conda-forge/pytesseract,,,,1428.0,,https://pypi.org/project/pytesseract,2020-12-15 05:24:52.000000,1428.0,600271.0,620244.0,https://anaconda.org/conda-forge/pytesseract,2021-04-30 15:13:39.702000,459398.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n146,Ignite,pytorch/ignite,,ml-frameworks,https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000000,2021-06-03 12:42:15.000000,2021-06-03 05:16:22.000000,449,104.0,724.0,3577,1121.0,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,138.0,29,True,2021-03-03 23:10:39.000000,0.4.4,574.0,pytorch-ignite,pytorch/ignite,,,['pytorch'],971.0,909.0,https://pypi.org/project/pytorch-ignite,2021-06-03 00:26:02.000000,62.0,40880.0,42594.0,https://anaconda.org/pytorch/ignite,2021-03-03 23:10:32.721000,61718.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n147,MLxtend,rasbt/mlxtend,,sklearn-utils,https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16.000000,2021-05-09 15:37:54.000000,2021-05-09 15:37:54.000000,704,95.0,288.0,3505,1218.0,A library of extension and helper modules for Python's data analysis and machine learning libraries.,84.0,29,True,2020-11-26 04:18:15.000000,0.18.0,46.0,mlxtend,conda-forge/mlxtend,,,['sklearn'],3534.0,3344.0,https://pypi.org/project/mlxtend,2020-11-26 04:18:15.000000,190.0,333790.0,337394.0,https://anaconda.org/conda-forge/mlxtend,2020-11-26 05:32:00.667000,169410.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n148,Dedupe,dedupeio/dedupe,,nlp,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36.000000,2021-05-13 13:24:58.000000,2021-04-17 00:27:42.000000,423,60.0,583.0,3032,2813.0,\"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.\",56.0,29,True,2021-02-28 20:52:16.000000,2.0.7,159.0,dedupe,,,,,267.0,189.0,https://pypi.org/project/dedupe,2021-04-17 00:35:34.000000,78.0,81128.0,81128.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n149,ftfy,LuminosoInsight/python-ftfy,,nlp,https://github.com/LuminosoInsight/python-ftfy,https://github.com/LuminosoInsight/python-ftfy,MIT,2012-08-24 16:14:59.000000,2021-05-25 06:35:21.702000,2021-05-17 19:04:10.000000,102,10.0,105.0,2981,590.0,\"Fixes mojibake and other glitches in Unicode text, after the fact.\",18.0,29,True,2021-05-24 05:17:15.000000,6.0.3,45.0,ftfy,conda-forge/ftfy,,,,4069.0,3309.0,https://pypi.org/project/ftfy,2021-05-24 05:17:15.000000,760.0,918622.0,920764.0,https://anaconda.org/conda-forge/ftfy,2021-05-25 06:35:21.702000,107128.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n150,Koalas,databricks/koalas,,data-containers,https://github.com/databricks/koalas,https://github.com/databricks/koalas,Apache-2.0,2019-01-03 21:46:54.000000,2021-05-19 18:45:10.000000,2021-05-03 00:35:18.000000,310,116.0,445.0,2821,1536.0,Koalas: pandas API on Apache Spark.,50.0,29,True,2021-05-03 00:39:34.000000,1.8.0,45.0,koalas,conda-forge/koalas,,,\"['spark', 'pandas']\",98.0,96.0,https://pypi.org/project/koalas,2021-05-03 00:38:09.000000,2.0,3033361.0,3036951.0,https://anaconda.org/conda-forge/koalas,2021-05-03 04:19:17.678000,88874.0,,,,,2.0,996.0,,,,,,,,,,,,,,,,,,,,,\n151,mrjob,Yelp/mrjob,,data-pipelines,https://github.com/Yelp/mrjob,https://github.com/Yelp/mrjob,Apache-2.0,2010-10-13 18:35:21.000000,2021-03-31 18:37:58.000000,2020-11-16 22:20:52.000000,590,201.0,1091.0,2546,8622.0,Run MapReduce jobs on Hadoop or Amazon Web Services.,142.0,29,True,2020-09-17 22:26:01.000000,0.7.4,60.0,mrjob,conda-forge/mrjob,,,,865.0,753.0,https://pypi.org/project/mrjob,2020-09-17 22:26:01.000000,112.0,103950.0,110259.0,https://anaconda.org/conda-forge/mrjob,2020-12-24 22:44:29.424000,359647.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n152,NMSLIB,nmslib/nmslib,,nn-search,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06.000000,2021-06-01 18:52:34.000000,2021-06-01 18:52:34.000000,346,44.0,325.0,2418,1505.0,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,44.0,29,True,2021-02-03 16:40:09.000000,2.1.1,32.0,nmslib,conda-forge/nmslib,,,,439.0,387.0,https://pypi.org/project/nmslib,2021-02-03 00:02:08.000000,52.0,81808.0,83910.0,https://anaconda.org/conda-forge/nmslib,2021-01-08 16:19:07.762000,29434.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n153,GPyTorch,cornellius-gp/gpytorch,,probabilistics,https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000000,2021-05-31 12:11:49.000000,2021-05-31 12:11:49.000000,348,225.0,701.0,2405,3437.0,A highly efficient and modular implementation of Gaussian Processes in PyTorch.,80.0,29,True,2021-05-18 02:56:47.000000,1.4.2,28.0,gpytorch,,,,['pytorch'],309.0,301.0,https://pypi.org/project/gpytorch,2021-05-18 02:56:47.000000,8.0,61496.0,61496.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n154,hmmlearn,hmmlearn/hmmlearn,,probabilistics,https://github.com/hmmlearn/hmmlearn,https://github.com/hmmlearn/hmmlearn,BSD-3-Clause,2014-03-23 10:33:09.000000,2021-05-11 16:31:39.000000,2021-05-11 16:31:39.000000,647,66.0,293.0,2271,359.0,\"Hidden Markov Models in Python, with scikit-learn like API.\",33.0,29,True,2021-02-03 14:33:20.000000,0.2.5,7.0,hmmlearn,conda-forge/hmmlearn,,,['sklearn'],1200.0,994.0,https://pypi.org/project/hmmlearn,2021-02-03 14:32:44.000000,206.0,119378.0,122020.0,https://anaconda.org/conda-forge/hmmlearn,2021-02-04 16:23:17.046000,81923.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n155,pandas-datareader,pydata/pandas-datareader,,data-loading,https://github.com/pydata/pandas-datareader,https://github.com/pydata/pandas-datareader,BSD-3-Clause,2015-01-15 00:34:19.000000,2021-06-03 14:43:08.000000,2020-12-31 11:58:23.000000,521,86.0,371.0,2015,764.0,Extract data from a wide range of Internet sources into a pandas DataFrame.,77.0,29,True,2020-07-10 10:04:14.000000,0.9.0,21.0,pandas-datareader,conda-forge/pandas-datareader,,,['pandas'],11064.0,9658.0,https://pypi.org/project/pandas-datareader,2020-07-10 10:04:14.000000,1406.0,240648.0,243085.0,https://anaconda.org/conda-forge/pandas-datareader,2021-03-16 22:58:42.079000,121879.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n156,HoloViews,holoviz/holoviews,,data-viz,https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000000,2021-06-02 22:34:22.000000,2021-05-28 13:05:15.000000,316,725.0,1865.0,1907,10199.0,\"With Holoviews, your data visualizes itself.\",107.0,29,True,2021-05-22 18:09:55.000000,1.14.4,71.0,holoviews,conda-forge/holoviews,,,['jupyter'],170.0,,https://pypi.org/project/holoviews,2021-05-22 18:09:55.000000,170.0,111411.0,124901.0,https://anaconda.org/conda-forge/holoviews,2021-05-23 10:56:39.974000,500582.0,,,,,2.0,,,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,2020-05-24 13:49:54.205000,,5284.0,,,,,,,,,,,,,,\n157,hdbscan,scikit-learn-contrib/hdbscan,,others,https://github.com/scikit-learn-contrib/hdbscan,https://github.com/scikit-learn-contrib/hdbscan,BSD-3-Clause,2015-04-22 13:32:37.000000,2021-04-07 15:55:02.000000,2021-04-07 15:55:02.000000,339,228.0,146.0,1889,884.0,A high performance implementation of HDBSCAN clustering.,69.0,29,True,2021-02-03 20:21:02.000000,0.8.27,43.0,hdbscan,conda-forge/hdbscan,,,['sklearn'],979.0,855.0,https://pypi.org/project/hdbscan,2021-02-03 20:21:02.000000,124.0,199506.0,211093.0,https://anaconda.org/conda-forge/hdbscan,2021-02-14 03:07:15.749000,683668.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n158,Flax,google/flax,,ml-frameworks,https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000000,2021-06-03 09:18:58.000000,2021-05-27 18:16:06.000000,210,159.0,209.0,1801,2020.0,Flax is a neural network library for JAX that is designed for flexibility.,93.0,29,True,2021-05-18 11:27:56.000000,0.3.4,13.0,flax,,,,['jax'],198.0,192.0,https://pypi.org/project/flax,2021-05-18 11:27:56.000000,6.0,376165.0,376166.0,,,,,,,,2.0,23.0,,,,,,,,,,,,,,,,,,,,,\n159,Lifelines,CamDavidsonPilon/lifelines,,medical-data,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42.000000,2021-05-27 04:55:00.431000,2021-05-27 00:33:17.000000,429,204.0,600.0,1626,2123.0,Survival analysis in Python.,95.0,29,True,2021-05-27 00:34:08.000000,0.26.0,157.0,lifelines,conda-forge/lifelines,,,,710.0,584.0,https://pypi.org/project/lifelines,2021-05-27 00:34:08.000000,126.0,245478.0,247952.0,https://anaconda.org/conda-forge/lifelines,2021-05-27 04:55:00.431000,148473.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n160,Cartopy,mapbox/rasterio,,geospatial-data,https://github.com/mapbox/rasterio,https://github.com/mapbox/rasterio,LGPL-3.0,2013-11-04 16:36:27.000000,2021-06-03 12:54:14.000000,2021-05-31 23:14:37.000000,412,138.0,1255.0,1503,3339.0,Rasterio reads and writes geospatial raster datasets.,109.0,29,False,2021-04-21 16:59:37.000000,0.19.0,22.0,Cartopy,conda-forge/cartopy,,,,3585.0,3239.0,https://pypi.org/project/Cartopy,2021-04-23 16:49:22.000000,346.0,63142.0,88335.0,https://anaconda.org/conda-forge/cartopy,2021-05-21 06:58:00.865000,1586563.0,,,,,3.0,732.0,,,,,,,,,,,,,,,,,,,,,\n161,pyLDAvis,bmabey/pyLDAvis,,interpretability,https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03.000000,2021-04-22 23:16:41.000000,2021-03-24 13:03:31.000000,304,75.0,75.0,1464,240.0,Python library for interactive topic model visualization. Port of the R LDAvis package.,32.0,29,True,2021-03-24 13:05:21.000000,3.3.1,24.0,pyldavis,conda-forge/pyldavis,,,['jupyter'],2420.0,2222.0,https://pypi.org/project/pyldavis,2021-03-24 12:57:08.000000,198.0,170005.0,170696.0,https://anaconda.org/conda-forge/pyldavis,2021-03-24 15:17:07.309000,24888.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n162,torchaudio,pytorch/audio,,audio,https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000000,2021-06-03 14:55:09.000000,2021-06-03 13:40:37.000000,321,147.0,325.0,1330,882.0,\"Data manipulation and transformation for audio signal processing, powered by PyTorch.\",126.0,29,True,2021-03-25 16:30:33.000000,0.8.1,14.0,torchaudio,,,,['pytorch'],3291.0,3273.0,https://pypi.org/project/torchaudio,2021-03-25 16:29:07.000000,18.0,241607.0,241607.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n163,ipyleaflet,jupyter-widgets/ipyleaflet,,geospatial-data,https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10.000000,2021-05-31 01:26:55.000000,2021-05-12 06:28:31.000000,290,158.0,261.0,1127,916.0,A Jupyter - Leaflet.js bridge.,64.0,29,True,2021-01-05 16:38:38.000000,0.13.6,70.0,ipyleaflet,conda-forge/ipyleaflet,,,['jupyter'],962.0,862.0,https://pypi.org/project/ipyleaflet,2021-01-05 16:38:38.000000,98.0,44592.0,77882.0,https://anaconda.org/conda-forge/ipyleaflet,2021-01-16 23:51:37.383000,683352.0,,,,,3.0,,,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2021-01-05 16:30:30.235000,2.0,22088.0,,,,,,,,,,,,,,\n164,Graphviz,xflr6/graphviz,,data-viz,https://github.com/xflr6/graphviz,https://github.com/xflr6/graphviz,MIT,2014-01-12 17:49:29.000000,2021-05-15 13:02:49.000000,2021-05-15 13:01:47.000000,146,9.0,101.0,998,471.0,Simple Python interface for Graphviz.,15.0,29,True,2020-10-07 09:06:41.000000,0.14.2,47.0,graphviz,,,,,25141.0,20759.0,https://pypi.org/project/graphviz,2020-12-24 16:17:24.000000,4382.0,5640611.0,5640611.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n165,snakemake,snakemake/snakemake,,ml-experiments,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867000,2021-06-03 13:20:27.000000,2021-05-27 13:51:19.000000,214,409.0,232.0,989,4056.0,\"This is the development home of the workflow management system Snakemake. For general information, see.\",202.0,29,True,2021-05-27 13:52:12.000000,6.4.1,175.0,snakemake,bioconda/snakemake,,,,1107.0,819.0,https://pypi.org/project/snakemake,2021-05-27 13:52:58.000000,288.0,36601.0,41016.0,https://anaconda.org/bioconda/snakemake,2021-05-27 20:50:33.182000,300253.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n166,TensorFlow Transform,tensorflow/transform,,tensorflow-utils,https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53.000000,2021-06-02 17:07:03.000000,2021-06-02 17:06:57.000000,171,20.0,142.0,874,657.0,Input pipeline framework.,27.0,29,True,2021-05-24 19:44:53.000000,1.0.0,38.0,tensorflow-transform,,,,['tensorflow'],556.0,472.0,https://pypi.org/project/tensorflow-transform,2021-05-24 19:44:53.000000,84.0,7334305.0,7334305.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n167,Nilearn,nilearn/nilearn,,medical-data,https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000000,2021-06-03 14:15:02.000000,2021-06-03 07:10:18.000000,414,378.0,1222.0,744,9369.0,Machine learning for NeuroImaging in Python.,173.0,29,True,2020-11-12 11:44:49.000000,0.7.0,36.0,nilearn,conda-forge/nilearn,,,['sklearn'],1333.0,1031.0,https://pypi.org/project/nilearn,2021-03-10 13:17:17.000000,302.0,21776.0,23387.0,https://anaconda.org/conda-forge/nilearn,2021-03-10 17:33:32.831000,98275.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n168,NiBabel,nipy/nibabel,,medical-data,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30.000000,2021-05-30 14:30:29.000000,2021-05-30 11:42:38.000000,214,112.0,298.0,411,5014.0,Python package to access a cacophony of neuro-imaging file formats.,91.0,29,True,2020-11-28 22:19:50.000000,3.2.1,32.0,nibabel,conda-forge/nibabel,,,,5786.0,4522.0,https://pypi.org/project/nibabel,2020-11-28 22:18:23.000000,1264.0,110192.0,115793.0,https://anaconda.org/conda-forge/nibabel,2020-11-29 03:40:05.178000,341692.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n169,Rasa,RasaHQ/rasa,,nlp,https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49.000000,2021-06-03 13:57:19.000000,2021-06-03 09:45:54.000000,3525,669.0,4837.0,11451,,\"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..\",488.0,28,True,2021-06-03 13:57:34.000000,2.7.0,203.0,rasa,,,,['tensorflow'],64.0,,https://pypi.org/project/rasa,2021-06-03 13:57:19.000000,64.0,174591.0,174591.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n170,PyTorch Image Models,rwightman/pytorch-image-models,,image,https://github.com/rwightman/pytorch-image-models,https://github.com/rwightman/pytorch-image-models,Apache-2.0,2019-02-02 05:51:12.000000,2021-05-31 22:52:24.000000,2021-05-31 22:52:24.000000,1549,32.0,293.0,10505,951.0,\"PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision..\",46.0,28,True,2021-05-21 23:02:50.000000,0.1-t3p-weights,24.0,,,,,['pytorch'],620.0,620.0,,,,,16345.0,,,,,,,,2.0,408643.0,,,,,,,,,,,,,,,,,,,,,\n171,TPOT,EpistasisLab/tpot,,hyperopt,https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40.000000,2021-03-17 21:46:35.000000,2021-01-06 15:17:46.000000,1396,214.0,597.0,8040,2368.0,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,108.0,28,False,2021-01-06 15:20:08.000000,0.11.7,60.0,tpot,conda-forge/tpot,,,['sklearn'],1089.0,1009.0,https://pypi.org/project/tpot,2021-01-06 15:20:08.000000,80.0,21655.0,23759.0,https://anaconda.org/conda-forge/tpot,2021-03-05 04:04:38.005000,119940.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n172,Pyro,pyro-ppl/pyro,,probabilistics,https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000000,2021-06-03 15:00:58.000000,2021-05-27 21:19:13.000000,851,166.0,698.0,6954,2188.0,Deep universal probabilistic programming with Python and PyTorch.,109.0,28,True,2021-03-04 23:01:34.000000,1.6.0,26.0,pyro-ppl,,,,['pytorch'],496.0,460.0,https://pypi.org/project/pyro-ppl,2021-03-04 23:05:10.000000,36.0,39906.0,39906.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n173,imageai,OlafenwaMoses/ImageAI,,image,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33.000000,2021-05-21 14:32:57.000000,2021-05-08 20:05:36.000000,1706,205.0,412.0,6193,292.0,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,14.0,28,True,2021-01-05 01:26:01.000000,2.1.6,10.0,imageai,,,,,865.0,841.0,https://pypi.org/project/imageai,2021-01-05 01:26:01.000000,24.0,10805.0,26360.0,,,,,,,,2.0,591094.0,,,,,,,,,,,,,,,,,,,,,\n174,auto-sklearn,automl/auto-sklearn,,hyperopt,https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10.000000,2021-05-29 07:07:28.000000,2021-05-14 06:46:51.000000,1006,106.0,627.0,5451,2458.0,Automated Machine Learning with scikit-learn.,66.0,28,True,2021-04-20 16:07:35.000000,0.12.6,31.0,auto-sklearn,,,,['sklearn'],193.0,163.0,https://pypi.org/project/auto-sklearn,2021-04-20 16:07:35.000000,30.0,19566.0,19566.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n175,DeepPavlov,deepmipt/DeepPavlov,,nlp,https://github.com/deepmipt/DeepPavlov,https://github.com/deepmipt/DeepPavlov,Apache-2.0,2017-11-17 14:35:29.000000,2021-06-03 14:19:52.000000,2021-05-14 10:17:11.000000,944,119.0,463.0,5226,2595.0,An open source library for deep learning end-to-end dialog systems and chatbots.,63.0,28,True,2021-05-14 10:27:41.000000,0.15.0,43.0,deeppavlov,,,,['tensorflow'],205.0,197.0,https://pypi.org/project/deeppavlov,2021-05-14 10:27:41.000000,8.0,9404.0,9404.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n176,Bayesian Optimization,fmfn/BayesianOptimization,,hyperopt,https://github.com/fmfn/BayesianOptimization,https://github.com/fmfn/BayesianOptimization,MIT,2014-06-06 08:18:56.000000,2021-05-01 01:55:39.000000,2020-12-19 01:11:23.000000,1115,40.0,166.0,5145,199.0,A Python implementation of global optimization with gaussian processes.,27.0,28,True,2020-05-16 16:03:51.000000,1.2.0,8.0,bayesian-optimization,,,,,851.0,759.0,https://pypi.org/project/bayesian-optimization,2020-05-16 15:56:09.000000,92.0,110290.0,110291.0,,,,,,,,1.0,54.0,,,,,,,,,,,,,,,,,,,,,\n177,OpenNMT,OpenNMT/OpenNMT-py,,nlp,https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000000,2021-05-10 15:52:10.000000,2021-05-07 15:58:33.000000,1814,104.0,1153.0,5047,2567.0,Open Source Neural Machine Translation in PyTorch.,170.0,28,True,2021-04-30 16:40:40.000000,2.1.2,31.0,OpenNMT-py,,,,['pytorch'],92.0,88.0,https://pypi.org/project/OpenNMT-py,2021-04-30 16:41:28.000000,4.0,4195.0,4195.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n178,GluonCV,dmlc/gluon-cv,,image,https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21.000000,2021-06-03 09:02:09.000000,2021-05-31 02:40:12.000000,1087,119.0,653.0,4756,867.0,Gluon CV Toolkit.,112.0,28,True,2021-03-28 22:53:04.000000,0.10.1,1108.0,gluoncv,,,,['mxnet'],539.0,509.0,https://pypi.org/project/gluoncv,2021-06-03 09:02:09.000000,30.0,62205.0,62205.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n179,snorkel,snorkel-team/snorkel,,data-loading,https://github.com/snorkel-team/snorkel,https://github.com/snorkel-team/snorkel,Apache-2.0,2016-02-26 05:52:45.000000,2021-05-25 05:48:38.000000,2021-05-25 05:48:38.000000,735,26.0,921.0,4641,2653.0,A system for quickly generating training data with weak supervision.,65.0,28,True,2021-03-09 21:51:40.000000,0.9.7,19.0,snorkel,conda-forge/snorkel,,,,96.0,88.0,https://pypi.org/project/snorkel,2021-03-09 21:39:08.000000,8.0,103124.0,103957.0,https://anaconda.org/conda-forge/snorkel,2021-04-30 15:16:48.270000,18883.0,,,,,3.0,679.0,,,,,,,,,,,,,,,,,,,,,\n180,Tokenizers,huggingface/tokenizers,,nlp,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000000,2021-05-30 21:41:18.000000,2021-05-24 21:31:01.000000,356,115.0,337.0,4601,1463.0,Fast State-of-the-Art Tokenizers optimized for Research and Production.,40.0,28,True,2021-05-24 21:47:49.000000,0.10.3,62.0,tokenizers,conda-forge/tokenizers,,,,34.0,34.0,https://pypi.org/project/tokenizers,2021-05-24 21:47:49.000000,0.0,2766114.0,2771131.0,https://anaconda.org/conda-forge/tokenizers,2021-03-10 20:31:28.913000,55188.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n181,csvkit,wireservice/csvkit,,data-loading,https://github.com/wireservice/csvkit,https://github.com/wireservice/csvkit,MIT,2011-04-01 03:00:30.000000,2021-06-03 08:58:53.000000,2021-03-10 22:01:27.000000,535,58.0,757.0,4596,1696.0,\"A suite of utilities for converting to and working with CSV, the king of tabular file formats.\",92.0,28,True,2020-03-03 03:00:28.000000,1.0.5,33.0,csvkit,conda-forge/csvkit,,,,1573.0,871.0,https://pypi.org/project/csvkit,2020-03-03 03:00:28.000000,702.0,47074.0,48059.0,https://anaconda.org/conda-forge/csvkit,2021-05-31 04:12:33.299000,50243.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n182,PyOD,yzhao062/pyod,,others,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04.000000,2021-06-02 08:02:33.000000,2021-05-18 02:21:56.000000,908,114.0,86.0,4551,1267.0,(JMLR'19) A Python Toolbox for Scalable Outlier Detection (Anomaly Detection).,23.0,28,True,2021-04-27 02:04:22.000000,V0.8.8,66.0,pyod,,,,,667.0,661.0,https://pypi.org/project/pyod,2021-04-27 02:01:41.000000,6.0,158420.0,158420.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n183,librosa,librosa/librosa,,audio,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000000,2021-05-26 10:44:27.607000,2021-05-25 21:36:44.000000,739,48.0,835.0,4525,,Python library for audio and music analysis.,89.0,28,True,2021-05-26 10:15:06.000000,0.8.1,31.0,librosa,conda-forge/librosa,,,,1750.0,,https://pypi.org/project/librosa,2021-05-26 10:15:06.000000,1750.0,489334.0,494165.0,https://anaconda.org/conda-forge/librosa,2021-05-26 10:44:27.607000,285086.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n184,DEAP,deap/deap,,distributed-ml,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39.000000,2021-05-08 10:26:27.000000,2021-05-08 10:26:27.000000,878,207.0,227.0,4224,2149.0,Distributed Evolutionary Algorithms in Python.,68.0,28,False,2020-01-21 01:18:06.000000,1.3.1,16.0,deap,conda-forge/deap,,,,2374.0,1892.0,https://pypi.org/project/deap,2020-01-21 01:18:06.000000,482.0,119645.0,121858.0,https://anaconda.org/conda-forge/deap,2021-01-13 14:43:13.393000,132804.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n185,pyfolio,quantopian/pyfolio,,financial-data,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39.000000,2021-04-04 14:32:26.000000,2020-07-15 13:46:58.000000,1168,129.0,264.0,3812,1184.0,Portfolio and risk analytics in Python.,55.0,28,True,2019-04-15 15:00:21.000000,0.9.2,22.0,pyfolio,conda-forge/pyfolio,,,,304.0,250.0,https://pypi.org/project/pyfolio,2019-04-15 15:00:21.000000,54.0,8972.0,9132.0,https://anaconda.org/conda-forge/pyfolio,2020-05-16 14:11:57.267000,6412.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n186,imutils,jrosebr1/imutils,,image,https://github.com/jrosebr1/imutils,https://github.com/jrosebr1/imutils,MIT,2015-01-11 20:05:39.000000,2021-06-01 19:37:21.000000,2021-01-15 10:46:45.000000,903,136.0,76.0,3680,138.0,\"A series of convenience functions to make basic image processing operations such as translation, rotation, resizing,..\",20.0,28,True,2021-01-15 10:53:17.000000,0.5.4,29.0,imutils,conda-forge/imutils,,,,16419.0,15223.0,https://pypi.org/project/imutils,2021-01-15 10:53:17.000000,1196.0,250216.0,252394.0,https://anaconda.org/conda-forge/imutils,2021-01-15 14:27:25.471000,52286.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n187,sacred,IDSIA/sacred,,ml-experiments,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29.000000,2021-05-31 07:19:19.000000,2021-05-31 07:19:19.000000,318,92.0,406.0,3471,1307.0,\"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.\",92.0,28,True,2020-12-14 15:21:05.000000,0.8.2,27.0,sacred,,,,,1092.0,938.0,https://pypi.org/project/sacred,2020-12-14 15:21:05.000000,154.0,25361.0,25361.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n188,Dagster,dagster-io/dagster,,data-pipelines,https://github.com/dagster-io/dagster,https://github.com/dagster-io/dagster,Apache-2.0,2018-04-30 16:30:04.000000,2021-06-03 15:07:35.000000,2021-06-03 14:42:17.000000,377,598.0,2359.0,3393,7744.0,\"A data orchestrator for machine learning, analytics, and ETL.\",141.0,28,True,2021-05-28 00:06:26.000000,0.11.11,314.0,dagster,conda-forge/dagster,,,,181.0,177.0,https://pypi.org/project/dagster,2021-05-27 23:45:55.000000,4.0,63383.0,77456.0,https://anaconda.org/conda-forge/dagster,2021-05-24 13:12:38.441000,267401.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n189,bqplot,bqplot/bqplot,,data-viz,https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18.000000,2021-06-03 14:20:12.000000,2021-06-03 14:20:12.000000,404,194.0,335.0,3085,3345.0,Plotting library for IPython/Jupyter notebooks.,51.0,28,True,2021-04-21 13:59:07.421000,0.5.27,94.0,bqplot,conda-forge/bqplot,,,['jupyter'],148.0,26.0,https://pypi.org/project/bqplot,2021-05-25 15:09:38.000000,112.0,47887.0,73462.0,https://anaconda.org/conda-forge/bqplot,2021-05-26 06:59:01.643000,627603.0,,,,,2.0,,,,bqplot,https://www.npmjs.com/package/bqplot,2021-05-25 15:08:23.827000,10.0,15287.0,,,,,,,,,,,,,,\n190,Blaze,blaze/blaze,,data-containers,https://github.com/blaze/blaze,https://github.com/blaze/blaze,BSD-3-Clause,2012-10-26 14:25:22.000000,2020-02-01 19:33:09.000000,2019-08-15 21:14:59.000000,373,262.0,500.0,2958,7496.0,NumPy and Pandas interface to Big Data.,64.0,28,False,2016-07-19 20:40:03.000000,0.11.0,14.0,blaze,conda-forge/blaze,,,,9324.0,7702.0,https://pypi.org/project/blaze,2016-05-06 21:19:21.000000,1622.0,12927.0,17088.0,https://anaconda.org/conda-forge/blaze,2018-07-15 22:16:17.685000,191442.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n191,missingno,ResidentMario/missingno,,data-viz,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50.000000,2021-04-27 16:05:07.000000,2021-04-27 16:05:07.000000,354,19.0,89.0,2785,171.0,Missing data visualization module for Python.,16.0,28,True,2019-07-09 16:05:14.000000,0.4.2,22.0,missingno,conda-forge/missingno,,,,4078.0,3926.0,https://pypi.org/project/missingno,2019-07-09 16:05:14.000000,152.0,349353.0,351396.0,https://anaconda.org/conda-forge/missingno,2020-02-15 10:07:41.253000,96044.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n192,phonenumbers,daviddrysdale/python-phonenumbers,,nlp,https://github.com/daviddrysdale/python-phonenumbers,https://github.com/daviddrysdale/python-phonenumbers,Apache-2.0,2011-04-21 03:06:38.000000,2021-05-31 03:55:17.247000,2021-05-27 14:51:51.000000,343,3.0,120.0,2726,,Python port of Google's libphonenumber.,22.0,28,True,2021-05-27 15:31:27.000000,8.12.24,175.0,phonenumbers,conda-forge/phonenumbers,,,,2280.0,,https://pypi.org/project/phonenumbers,2021-05-27 15:31:27.000000,2280.0,1796025.0,1803085.0,https://anaconda.org/conda-forge/phonenumbers,2021-05-31 03:55:17.247000,423641.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n193,plotnine,has2k1/plotnine,,data-viz,https://github.com/has2k1/plotnine,https://github.com/has2k1/plotnine,GPL-2.0,2017-04-24 19:00:44.000000,2021-05-24 08:49:08.000000,2021-05-24 08:44:04.000000,138,61.0,372.0,2697,1698.0,A grammar of graphics for Python.,85.0,28,False,2021-03-25 12:57:10.000000,0.8.0,11.0,plotnine,conda-forge/plotnine,,,,2249.0,1995.0,https://pypi.org/project/plotnine,2021-03-25 10:49:20.000000,254.0,169975.0,172202.0,https://anaconda.org/conda-forge/plotnine,2021-03-25 12:31:04.423000,109151.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n194,datashader,holoviz/datashader,,data-viz,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000000,2021-05-25 21:55:23.000000,2021-05-25 20:10:22.000000,325,128.0,349.0,2512,1294.0,Quickly and accurately render even the largest data.,43.0,28,True,2021-03-22 15:23:27.000000,0.12.1,23.0,datashader,conda-forge/datashader,,,,773.0,703.0,https://pypi.org/project/datashader,2021-05-25 20:40:14.000000,70.0,44303.0,48599.0,https://anaconda.org/conda-forge/datashader,2021-04-13 11:22:49.633000,184733.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n195,sklearn-pandas,scikit-learn-contrib/sklearn-pandas,,data-containers,https://github.com/scikit-learn-contrib/sklearn-pandas,https://github.com/scikit-learn-contrib/sklearn-pandas,Zlib,2013-04-22 22:55:20.000000,2021-05-08 08:31:08.000000,2021-05-08 08:05:59.000000,393,25.0,125.0,2429,287.0,Pandas integration with sklearn.,37.0,28,False,2021-05-08 08:32:08.000000,2.1.0,27.0,sklearn-pandas,,,,\"['sklearn', 'pandas']\",2556.0,2334.0,https://pypi.org/project/sklearn-pandas,2021-05-08 08:14:28.000000,222.0,192844.0,192844.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n196,ImageHash,JohannesBuchner/imagehash,,image,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48.000000,2021-03-25 13:32:22.000000,2021-01-03 14:55:15.000000,260,22.0,76.0,1971,184.0,A Python Perceptual Image Hashing Module.,17.0,28,True,2021-03-25 13:49:48.000000,4.1.0,17.0,ImageHash,conda-forge/imagehash,,,,3231.0,2699.0,https://pypi.org/project/ImageHash,2020-11-19 14:54:24.000000,532.0,758321.0,760558.0,https://anaconda.org/conda-forge/imagehash,2020-11-19 18:20:49.964000,123087.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n197,TF-Agents,tensorflow/agents,,reinforcement-learning,https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000000,2021-06-02 09:52:52.000000,2021-06-01 20:27:33.000000,516,106.0,357.0,1912,1773.0,\"TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.\",97.0,28,True,2021-05-16 23:41:49.000000,0.8.0,22.0,tf-agents,,,,['tensorflow'],490.0,478.0,https://pypi.org/project/tf-agents,2021-05-16 23:41:49.000000,12.0,28092.0,28092.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n198,filterpy,rlabbe/filterpy,,probabilistics,https://github.com/rlabbe/filterpy,https://github.com/rlabbe/filterpy,MIT,2014-07-15 02:15:19.000000,2021-05-04 18:33:52.000000,2021-05-04 18:33:52.000000,430,33.0,151.0,1819,542.0,\"Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman..\",36.0,28,True,2018-10-10 22:38:24.000000,1.4.5,48.0,filterpy,conda-forge/filterpy,,,,1085.0,873.0,https://pypi.org/project/filterpy,2018-10-10 22:38:24.000000,212.0,435962.0,437254.0,https://anaconda.org/conda-forge/filterpy,2020-05-05 21:13:59.073000,62063.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n199,Mesh,tensorflow/mesh,,distributed-ml,https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34.000000,2021-05-27 18:58:07.000000,2021-05-26 17:51:23.000000,166,79.0,13.0,1036,611.0,Mesh TensorFlow: Model Parallelism Made Easier.,42.0,28,True,2021-03-24 19:03:46.000000,0.1.19,25.0,mesh-tensorflow,,,,['tensorflow'],595.0,539.0,https://pypi.org/project/mesh-tensorflow,2021-03-24 19:03:46.000000,56.0,611166.0,611166.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n200,PyTables,PyTables/PyTables,,data-containers,https://github.com/PyTables/PyTables,https://github.com/PyTables/PyTables,BSD-3-Clause,2011-06-03 19:44:46.000000,2021-03-26 00:08:03.000000,2021-03-20 09:04:48.000000,204,168.0,450.0,1026,3954.0,A Python package to manage extremely large amounts of data.,98.0,28,True,2019-10-30 19:33:37.000000,3.6.1,25.0,tables,conda-forge/pytables,,,,3754.0,,https://pypi.org/project/tables,2019-10-30 19:33:37.000000,3754.0,710949.0,756818.0,https://anaconda.org/conda-forge/pytables,2021-01-14 18:41:06.536000,2660299.0,,,,,2.0,136.0,,,,,,,,,,,,,,,,,,,,,\n201,Keras-Preprocessing,keras-team/keras-preprocessing,,others,https://github.com/keras-team/keras-preprocessing,https://github.com/keras-team/keras-preprocessing,MIT,2018-05-30 22:43:36.000000,2021-02-04 19:43:30.000000,2021-02-04 19:43:30.000000,420,93.0,100.0,954,284.0,\"Utilities for working with image data, text data, and sequence data.\",50.0,28,True,2020-05-14 03:53:47.000000,1.1.2,12.0,keras-preprocessing,conda-forge/keras-preprocessing,,,['tensorflow'],2736.0,,https://pypi.org/project/keras-preprocessing,2020-05-14 03:53:47.000000,2736.0,6210449.0,6236745.0,https://anaconda.org/conda-forge/keras-preprocessing,2021-01-15 12:28:58.923000,946687.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n202,igraph,igraph/python-igraph,,graph,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16.000000,2021-06-02 19:39:01.000000,2021-06-02 19:39:01.000000,191,26.0,286.0,827,1734.0,Python interface for igraph.,51.0,28,False,2021-05-31 19:33:26.000000,0.9.4,21.0,python-igraph,conda-forge/igraph,,,,2103.0,1679.0,https://pypi.org/project/python-igraph,2021-05-31 19:33:11.000000,424.0,97487.0,104505.0,https://anaconda.org/conda-forge/igraph,2021-04-15 13:28:46.335000,222478.0,,,,,1.0,152334.0,,,,,,,,,,,,,,,,,,,,,\n203,patsy,pydata/patsy,,probabilistics,https://github.com/pydata/patsy,https://github.com/pydata/patsy,BSD-2-Clause,2012-07-10 12:30:06.000000,2021-05-04 21:33:59.000000,2018-10-31 21:55:48.000000,85,78.0,53.0,754,517.0,Describing statistical models in Python using symbolic formulas.,13.0,28,False,2018-10-28 05:07:55.000000,0.5.1,8.0,patsy,conda-forge/patsy,,,,40285.0,35361.0,https://pypi.org/project/patsy,2018-10-28 03:59:51.000000,4924.0,2762402.0,2815423.0,https://anaconda.org/conda-forge/patsy,2018-10-28 05:21:35.412000,3075264.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n204,NIPYPE,nipy/nipype,,medical-data,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000000,2021-06-02 13:05:45.000000,2021-06-02 13:00:06.000000,456,337.0,881.0,566,14156.0,Workflows and interfaces for neuroimaging packages.,218.0,28,True,2020-11-28 17:23:30.000000,1.6.0,54.0,nipype,conda-forge/nipype,,,,810.0,618.0,https://pypi.org/project/nipype,2020-11-28 17:23:30.000000,192.0,22243.0,29123.0,https://anaconda.org/conda-forge/nipype,2020-11-28 17:44:51.813000,405967.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n205,DIPY,dipy/dipy,,medical-data,https://github.com/dipy/dipy,https://github.com/dipy/dipy,BSD-3-Clause,2010-02-06 11:43:08.000000,2021-06-01 18:05:00.000000,2021-05-11 15:51:38.000000,313,156.0,612.0,434,11578.0,\"DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal..\",121.0,28,True,2021-03-14 14:05:15.000000,1.4.0,23.0,dipy,conda-forge/dipy,,,,471.0,377.0,https://pypi.org/project/dipy,2021-05-06 04:40:48.000000,94.0,12358.0,16017.0,https://anaconda.org/conda-forge/dipy,2021-05-06 13:36:55.402000,223219.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n206,Streamlit,streamlit/streamlit,,others,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000000,2021-06-03 06:36:30.000000,2021-06-02 20:41:06.000000,1262,516.0,1263.0,14721,,Streamlit The fastest way to build data apps in Python.,105.0,27,True,2021-05-13 23:02:22.000000,0.82.0,131.0,streamlit,,,,,118.0,84.0,https://pypi.org/project/streamlit,2021-05-13 23:01:55.000000,34.0,304591.0,304591.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n207,NNI,microsoft/nni,,hyperopt,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44.000000,2021-06-03 12:50:16.000000,2021-06-03 08:14:11.000000,1328,283.0,976.0,9717,2124.0,\"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..\",135.0,27,True,2021-04-26 03:15:25.000000,2.2,40.0,nni,,,,,134.0,118.0,https://pypi.org/project/nni,2021-04-26 01:05:08.000000,16.0,5340.0,5340.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n208,InsightFace,deepinsight/insightface,,image,https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,MIT,2017-09-01 00:36:51.000000,2021-06-01 08:31:40.000000,2021-06-01 08:31:40.000000,3153,776.0,722.0,9299,1585.0,Face Analysis Project on MXNet and PyTorch.,20.0,27,True,2021-05-16 02:42:58.000000,0.2.1,8.0,insightface,,,,['mxnet'],72.0,70.0,https://pypi.org/project/insightface,2021-05-16 02:42:58.000000,2.0,5062.0,5062.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n209,pretrainedmodels,Cadene/pretrained-models.pytorch,,pytorch-utils,https://github.com/Cadene/pretrained-models.pytorch,https://github.com/Cadene/pretrained-models.pytorch,BSD-3-Clause,2017-04-09 15:54:23.000000,2020-06-08 16:06:59.000000,2020-04-16 08:02:22.000000,1686,90.0,88.0,7995,154.0,\"Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.\",22.0,27,False,2018-10-29 08:18:45.000000,0.7.4,16.0,pretrainedmodels,,,,['pytorch'],1153.0,1049.0,https://pypi.org/project/pretrainedmodels,2018-10-29 08:18:45.000000,104.0,58075.0,58075.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n210,dgl,dmlc/dgl,,graph,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000000,2021-06-03 10:53:10.000000,2021-06-03 10:50:18.000000,1554,267.0,810.0,7394,1737.0,\"Python package built to ease deep learning on graph, on top of existing DL frameworks.\",134.0,27,True,2021-04-08 03:22:48.000000,0.6.1,438.0,dgl,,,,,30.0,,https://pypi.org/project/dgl,2021-05-27 13:25:52.000000,30.0,40475.0,40475.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n211,ParlAI,facebookresearch/ParlAI,,nlp,https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44.000000,2021-06-02 23:04:07.000000,2021-06-02 18:35:07.000000,1475,98.0,905.0,7223,3760.0,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,150.0,27,True,2021-04-23 13:45:44.000000,1.2.0,16.0,parlai,,,,['pytorch'],25.0,25.0,https://pypi.org/project/parlai,2021-04-23 13:41:57.000000,0.0,2014.0,2014.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n212,TensorLayer,tensorlayer/tensorlayer,,reinforcement-learning,https://github.com/tensorlayer/tensorlayer,https://github.com/tensorlayer/tensorlayer,Apache-2.0,2016-06-07 15:55:16.000000,2021-05-13 04:29:18.000000,2021-03-17 01:32:00.000000,1473,20.0,433.0,6597,3346.0,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,131.0,27,True,2021-01-06 07:16:21.000000,2.2.4,82.0,tensorlayer,,,,['tensorflow'],68.0,,https://pypi.org/project/tensorlayer,2020-06-19 00:53:37.000000,68.0,3238.0,3260.0,,,,,,,,2.0,1257.0,,,,,,,,,,,,,,,,,,,,,\n213,EfficientNet-PyTorch,lukemelas/EfficientNet-PyTorch,,pytorch-utils,https://github.com/lukemelas/EfficientNet-PyTorch,https://github.com/lukemelas/EfficientNet-PyTorch,Apache-2.0,2019-05-30 05:24:11.000000,2021-05-25 07:07:22.000000,2021-04-15 15:16:36.000000,1190,117.0,131.0,6061,162.0,A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!).,24.0,27,True,2021-04-15 15:17:23.000000,0.7.1,13.0,efficientnet-pytorch,,,,['pytorch'],14.0,,https://pypi.org/project/efficientnet-pytorch,2021-04-15 15:17:23.000000,14.0,74103.0,110722.0,,,,,,,,1.0,549285.0,,,,,,,,,,,,,,,,,,,,,\n214,tsfresh,blue-yonder/tsfresh,,time-series-data,https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17.000000,2021-06-02 18:03:55.000000,2021-05-02 05:43:02.000000,885,38.0,425.0,5675,398.0,Automatic extraction of relevant features from time series:.,76.0,27,True,2021-03-06 08:49:53.000000,0.18.0,26.0,tsfresh,conda-forge/tsfresh,,,['sklearn'],66.0,,https://pypi.org/project/tsfresh,2020-09-09 21:08:22.000000,66.0,137512.0,138303.0,https://anaconda.org/conda-forge/tsfresh,2021-03-07 06:57:04.012000,34028.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n215,Datasette,simonw/datasette,,others,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000000,2021-06-03 04:45:22.000000,2021-06-03 04:45:03.000000,292,252.0,806.0,5137,1654.0,An open source multi-tool for exploring and publishing data.,52.0,27,True,2021-03-29 00:43:36.000000,0.56,94.0,datasette,,,,,494.0,424.0,https://pypi.org/project/datasette,2021-05-27 17:05:10.000000,70.0,38099.0,38099.0,,,,,,,,2.0,31.0,,,,,,,,,datasette,,,,,,,,,,,,\n216,CleverHans,cleverhans-lab/cleverhans,,adversarial,https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04.000000,2021-05-31 01:26:50.000000,2021-04-20 08:51:08.000000,1278,25.0,418.0,5125,3194.0,\"An adversarial example library for constructing attacks, building defenses, and benchmarking both.\",123.0,27,True,2021-04-28 13:26:45.000000,3.1.0,7.0,cleverhans,,,,['tensorflow'],239.0,223.0,https://pypi.org/project/cleverhans,2021-04-28 13:26:45.000000,16.0,869.0,869.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n217,Metaflow,Netflix/metaflow,,ml-experiments,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000000,2021-06-03 06:50:03.000000,2021-05-31 22:57:51.000000,373,154.0,159.0,4398,244.0,Build and manage real-life data science projects with ease.,33.0,27,True,2021-05-27 19:13:26.000000,2.3.0,24.0,metaflow,conda-forge/metaflow,,,,151.0,149.0,https://pypi.org/project/metaflow,2021-05-27 20:01:24.000000,2.0,94720.0,95653.0,https://anaconda.org/conda-forge/metaflow,2021-05-27 21:01:50.005000,16801.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n218,OCRmyPDF,jbarlow83/OCRmyPDF,,ocr,https://github.com/jbarlow83/OCRmyPDF,https://github.com/jbarlow83/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000000,2021-05-27 22:53:19.000000,2021-05-27 20:53:33.000000,452,94.0,615.0,4295,2957.0,\"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.\",53.0,27,True,2021-05-27 22:53:19.000000,12.0.3,173.0,ocrmypdf,,,,,170.0,158.0,https://pypi.org/project/ocrmypdf,2021-05-27 22:53:19.000000,12.0,17604.0,17604.0,,,,,,,,2.0,,,,,,,,,,ocrmypdf,ocrmypdf,,,,,,,,,,,\n219,skorch,skorch-dev/skorch,,ml-frameworks,https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000000,2021-05-30 21:21:48.000000,2021-05-30 21:21:47.000000,283,45.0,339.0,3972,956.0,A scikit-learn compatible neural network library that wraps PyTorch.,41.0,27,True,2021-03-23 15:34:51.000000,0.10.0,13.0,skorch,conda-forge/skorch,,,\"['pytorch', 'sklearn']\",359.0,333.0,https://pypi.org/project/skorch,2021-03-23 15:32:29.000000,26.0,19488.0,27654.0,https://anaconda.org/conda-forge/skorch,2021-03-24 00:24:03.810000,269510.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n220,pyAudioAnalysis,tyiannak/pyAudioAnalysis,,audio,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13.000000,2021-05-31 12:51:43.000000,2021-05-31 12:51:43.000000,994,170.0,108.0,3940,688.0,\"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.\",25.0,27,True,2021-05-13 14:14:02.000000,0.3.7,16.0,pyAudioAnalysis,,,,,235.0,213.0,https://pypi.org/project/pyAudioAnalysis,2021-05-13 14:14:02.000000,22.0,16111.0,16111.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n221,espnet,espnet/espnet,,audio,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000000,2021-06-03 09:28:01.000000,2021-06-02 05:56:23.000000,1206,195.0,1161.0,3822,11316.0,End-to-End Speech Processing Toolkit.,155.0,27,True,2021-05-29 06:31:04.000000,.0.9.10,35.0,espnet,,,,,10.0,10.0,https://pypi.org/project/espnet,2021-05-29 06:31:27.000000,0.0,3461.0,3462.0,,,,,,,,2.0,61.0,,,,,,,,,,,,,,,,,,,,,\n222,InterpretML,interpretml/interpret,,interpretability,https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000000,2021-06-01 22:49:47.000000,2021-06-01 22:49:47.000000,466,73.0,131.0,3797,1488.0,Fit interpretable models. Explain blackbox machine learning.,26.0,27,True,2021-01-20 02:12:33.000000,0.2.4,34.0,interpret,,,,['jupyter'],84.0,82.0,https://pypi.org/project/interpret,2021-01-20 02:10:35.000000,2.0,13931.0,13931.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n223,Perspective,finos/perspective,,data-viz,https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000000,2021-06-02 16:07:30.000000,2021-06-01 18:17:20.000000,371,68.0,353.0,3390,4506.0,Streaming pivot visualization via WebAssembly.,64.0,27,True,2021-05-28 21:15:57.000000,0.8.3,46.0,perspective-python,,,,['jupyter'],199.0,191.0,https://pypi.org/project/perspective-python,2021-05-28 21:15:57.000000,8.0,1925.0,3970.0,,,,,,,,2.0,,,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2021-05-12 05:26:10.640000,,2045.0,,,,,,,,,,,,,,\n224,dyNET,clab/dynet,,ml-frameworks,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21.000000,2021-03-18 20:24:39.000000,2021-01-27 15:43:03.000000,703,259.0,661.0,3225,3267.0,DyNet: The Dynamic Neural Network Toolkit.,156.0,27,True,2020-10-21 14:31:01.000000,2.1.2,24.0,dyNET,,,,,219.0,181.0,https://pypi.org/project/dyNET,2020-10-21 14:31:01.000000,38.0,20509.0,20563.0,,,,,,,,3.0,3053.0,,,,,,,,,,,,,,,,,,,,,\n225,DeepChem,deepchem/deepchem,,others,https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000000,2021-06-03 14:46:33.000000,2021-05-20 03:47:19.000000,983,369.0,890.0,2962,6474.0,\"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.\",160.0,27,True,2021-03-18 03:10:52.000000,2.5.0,259.0,deepchem,,,,['tensorflow'],45.0,41.0,https://pypi.org/project/deepchem,2021-05-20 03:49:17.000000,4.0,3335.0,3335.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n226,pomegranate,jmschrei/pomegranate,,probabilistics,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000000,2021-05-04 19:09:20.000000,2021-05-04 19:09:16.000000,486,52.0,561.0,2683,897.0,\"Fast, flexible and easy to use probabilistic modelling in Python.\",62.0,27,True,2021-03-29 16:51:20.000000,0.14.4,65.0,pomegranate,conda-forge/pomegranate,,,,515.0,459.0,https://pypi.org/project/pomegranate,2021-03-29 16:51:20.000000,56.0,42019.0,44600.0,https://anaconda.org/conda-forge/pomegranate,2020-11-01 16:22:04.857000,59365.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n227,Catalyst,catalyst-team/catalyst,,ml-experiments,https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13.000000,2021-05-31 17:14:45.000000,2021-05-31 06:25:12.000000,313,15.0,291.0,2586,1545.0,Accelerated deep learning R&D.,90.0,27,True,2021-05-31 06:23:16.000000,21.05,95.0,catalyst,,,,['pytorch'],391.0,353.0,https://pypi.org/project/catalyst,2021-05-31 06:15:40.000000,38.0,9245.0,9245.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n228,Captum,pytorch/captum,,interpretability,https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000000,2021-06-02 20:11:01.000000,2021-05-26 17:27:38.000000,245,56.0,178.0,2402,811.0,Model interpretability and understanding for PyTorch.,71.0,27,True,2021-01-23 18:11:12.000000,0.3.1,5.0,captum,,,,['pytorch'],191.0,191.0,https://pypi.org/project/captum,2021-01-22 20:55:47.000000,0.0,23886.0,23886.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n229,eli5,TeamHG-Memex/eli5,,interpretability,https://github.com/TeamHG-Memex/eli5,https://github.com/TeamHG-Memex/eli5,MIT,2016-09-15 01:04:57.000000,2021-01-25 08:24:59.385000,2020-01-22 07:39:36.000000,296,145.0,110.0,2373,1198.0,A library for debugging/inspecting machine learning classifiers and explaining their predictions.,14.0,27,False,2021-01-23 14:25:24.000000,0.11.0,28.0,eli5,conda-forge/eli5,,,,110.0,,https://pypi.org/project/eli5,2021-01-23 14:25:24.000000,110.0,462927.0,464881.0,https://anaconda.org/conda-forge/eli5,2021-01-25 08:24:59.385000,95768.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n230,implicit,benfred/implicit,,recommender-systems,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000000,2021-05-14 05:51:51.000000,2021-05-08 16:08:26.000000,490,84.0,264.0,2362,309.0,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,29.0,27,True,2020-09-15 22:01:38.000000,0.4.4,34.0,implicit,conda-forge/implicit,,,,461.0,417.0,https://pypi.org/project/implicit,2020-09-15 22:01:38.000000,44.0,112058.0,118153.0,https://anaconda.org/conda-forge/implicit,2020-11-24 06:44:37.378000,249897.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n231,pygal,Kozea/pygal,,graph,https://github.com/Kozea/pygal,https://github.com/Kozea/pygal,LGPL-3.0,2011-09-23 10:17:50.000000,2021-04-18 11:29:44.000000,2021-03-18 13:12:51.000000,383,164.0,242.0,2355,1014.0,PYthon svg GrAph plotting Library.,70.0,27,False,2017-07-05 09:22:41.000000,2.4.0,74.0,pygal,conda-forge/pygal,,,,1152.0,,https://pypi.org/project/pygal,2020-10-14 13:06:35.000000,1152.0,110688.0,110968.0,https://anaconda.org/conda-forge/pygal,2019-06-04 02:55:56.728000,6726.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n232,Keras Tuner,keras-team/keras-tuner,,hyperopt,https://github.com/keras-team/keras-tuner,https://github.com/keras-team/keras-tuner,Apache-2.0,2019-06-06 22:38:21.000000,2021-04-08 21:21:19.000000,2021-04-06 21:39:45.000000,283,151.0,156.0,2316,810.0,Hyperparameter tuning for humans.,35.0,27,True,2020-11-20 19:13:23.000000,1.0.2,5.0,keras-tuner,,,,['tensorflow'],618.0,614.0,https://pypi.org/project/keras-tuner,2020-11-20 19:00:59.000000,4.0,369240.0,369240.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n233,Cufflinks,santosjorge/cufflinks,,data-viz,https://github.com/santosjorge/cufflinks,https://github.com/santosjorge/cufflinks,MIT,2014-11-19 20:59:33.000000,2021-02-25 05:05:09.000000,2021-02-25 05:05:09.000000,535,81.0,121.0,2187,452.0,Productivity Tools for Plotly + Pandas.,38.0,27,True,2020-03-01 17:42:01.000000,0.17.3,27.0,cufflinks,,,,['pandas'],3732.0,3498.0,https://pypi.org/project/cufflinks,2020-03-01 17:42:01.000000,234.0,121475.0,121475.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n234,ta,bukosabino/ta,,financial-data,https://github.com/bukosabino/ta,https://github.com/bukosabino/ta,MIT,2018-01-02 18:08:48.000000,2021-04-11 20:31:36.000000,2020-11-29 21:08:14.000000,545,90.0,87.0,2183,582.0,Technical Analysis Library using Pandas and Numpy.,23.0,27,True,2020-11-29 10:49:09.000000,0.7.0,49.0,ta,,,,,592.0,580.0,https://pypi.org/project/ta,2020-11-29 10:49:09.000000,12.0,60058.0,60058.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n235,spark-nlp,JohnSnowLabs/spark-nlp,,nlp,https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000000,2021-06-03 13:46:11.000000,2021-06-03 13:43:50.000000,440,74.0,412.0,2158,8126.0,State of the Art Natural Language Processing.,86.0,27,True,2021-05-06 15:26:13.000000,3.0.3,84.0,spark-nlp,,,,['spark'],0.0,,https://pypi.org/project/spark-nlp,2021-05-06 14:29:27.000000,0.0,685024.0,685024.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n236,Foolbox,bethgelab/foolbox,,adversarial,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48.000000,2021-05-21 14:35:38.000000,2021-05-03 13:39:38.000000,349,59.0,266.0,1907,1649.0,\"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.\",31.0,27,True,2021-02-23 07:09:34.000000,3.3.1,68.0,foolbox,,,,,217.0,199.0,https://pypi.org/project/foolbox,2021-02-23 07:07:53.000000,18.0,1749.0,1749.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n237,TorchServe,pytorch/serve,,model-serialisation,https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000000,2021-06-03 00:03:54.000000,2021-06-02 22:49:54.000000,301,117.0,489.0,1859,1706.0,Model Serving on PyTorch.,74.0,27,True,2021-05-22 00:09:49.000000,0.4.0,8.0,torchserve,pytorch/torchserve,pytorch/torchserve,,['pytorch'],51.0,51.0,https://pypi.org/project/torchserve,2021-05-20 22:22:18.000000,0.0,7509.0,11234.0,https://anaconda.org/pytorch/torchserve,2021-05-21 22:06:07.527000,8940.0,https://hub.docker.com/r/pytorch/torchserve,2021-05-20 22:32:59.391640,3.0,61327.0,1.0,301.0,,,,,,,,,,,,,,,,,,,,,\n238,langid,saffsd/langid.py,,nlp,https://github.com/saffsd/langid.py,https://github.com/saffsd/langid.py,BSD-3-Clause,2011-04-29 00:16:56.000000,2020-01-01 10:49:30.000000,2017-07-15 02:49:17.000000,267,25.0,45.0,1795,242.0,Stand-alone language identification system.,9.0,27,False,2016-04-05 22:34:15.000000,1.1.6,8.0,langid,,,,,960.0,710.0,https://pypi.org/project/langid,2016-04-05 22:34:15.000000,250.0,570833.0,570833.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n239,MNE,mne-tools/mne-python,,medical-data,https://github.com/mne-tools/mne-python,https://github.com/mne-tools/mne-python,BSD-3-Clause,2011-01-28 03:31:13.000000,2021-06-03 14:44:25.000000,2021-06-03 14:14:58.000000,913,332.0,3334.0,1603,,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,259.0,27,True,2021-04-27 19:00:31.000000,0.23.0,52.0,mne,conda-forge/mne,,,,1168.0,970.0,https://pypi.org/project/mne,2021-04-27 19:00:31.000000,198.0,27901.0,30529.0,https://anaconda.org/conda-forge/mne,2021-04-27 21:31:05.562000,136700.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n240,Ax,facebook/Ax,,hyperopt,https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000000,2021-06-03 06:32:33.000000,2021-06-02 18:42:03.000000,155,42.0,232.0,1509,1150.0,Adaptive Experimentation Platform.,96.0,27,True,2021-02-24 16:59:13.000000,0.1.20,21.0,ax-platform,,,,['pytorch'],172.0,168.0,https://pypi.org/project/ax-platform,2021-02-24 16:59:13.000000,4.0,43902.0,43902.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n241,GPflow,GPflow/GPflow,,probabilistics,https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000000,2021-05-27 21:04:44.000000,2021-05-17 12:39:53.000000,404,103.0,609.0,1449,2229.0,Gaussian processes in TensorFlow.,71.0,27,True,2021-04-29 14:49:29.000000,2.2.1,31.0,gpflow,conda-forge/gpflow,,,['tensorflow'],295.0,261.0,https://pypi.org/project/gpflow,2021-04-29 14:49:29.000000,34.0,4743.0,4986.0,https://anaconda.org/conda-forge/gpflow,2018-11-06 08:51:39.744000,9006.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n242,Model Analysis,tensorflow/model-analysis,,interpretability,https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000000,2021-06-02 00:34:01.000000,2021-06-02 00:33:56.000000,219,29.0,37.0,1061,962.0,Model analysis tools for TensorFlow.,35.0,27,True,2021-05-24 17:55:57.000000,0.31.0,39.0,tensorflow-model-analysis,,,,\"['tensorflow', 'jupyter']\",20.0,,https://pypi.org/project/tensorflow-model-analysis,2021-05-24 18:12:04.000000,20.0,5615157.0,5615157.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n243,agate,wireservice/agate,,others,https://github.com/wireservice/agate,https://github.com/wireservice/agate,MIT,2014-04-25 13:59:09.000000,2021-05-31 03:58:22.153000,2021-03-10 22:04:12.000000,132,54.0,588.0,1044,1356.0,A Python data analysis library that is optimized for humans instead of machines.,47.0,27,True,2018-03-11 14:37:30.000000,1.6.1,24.0,agate,conda-forge/agate,,,,809.0,567.0,https://pypi.org/project/agate,2018-03-11 14:37:30.000000,242.0,612446.0,613685.0,https://anaconda.org/conda-forge/agate,2021-05-31 03:58:22.153000,64432.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n244,pmdarima,alkaline-ml/pmdarima,,time-series-data,https://github.com/alkaline-ml/pmdarima,https://github.com/alkaline-ml/pmdarima,MIT,2017-03-30 14:58:30.000000,2021-05-28 13:13:26.000000,2021-05-07 13:18:59.000000,170,20.0,221.0,896,1030.0,\"A statistical library designed to fill the void in Python's time series analysis capabilities, including the..\",18.0,27,True,2021-04-19 22:17:02.000000,1.8.2,33.0,pmdarima,,,,,1040.0,1028.0,https://pypi.org/project/pmdarima,2021-04-19 22:17:02.000000,12.0,400788.0,400788.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n245,petl,petl-developers/petl,,data-pipelines,https://github.com/petl-developers/petl,https://github.com/petl-developers/petl,MIT,2011-08-19 09:51:03.000000,2021-05-03 15:08:40.000000,2021-04-17 17:45:24.000000,153,68.0,347.0,894,1144.0,Python Extract Transform and Load Tables of Data.,46.0,27,True,2021-03-27 03:06:14.000000,1.7.4,79.0,petl,conda-forge/petl,,http://petl.readthedocs.org,,527.0,413.0,https://pypi.org/project/petl,2021-03-27 03:06:14.000000,114.0,32693.0,33132.0,https://anaconda.org/conda-forge/petl,2021-04-05 21:49:41.242000,25055.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n246,PyVista,pyvista/pyvista,,data-viz,https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000000,2021-06-03 11:33:28.000000,2021-06-03 11:33:27.000000,159,143.0,331.0,816,2215.0,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,57.0,27,True,2021-05-11 16:34:32.000000,0.30.1,43.0,pyvista,conda-forge/pyvista,,,['jupyter'],363.0,337.0,https://pypi.org/project/pyvista,2021-05-11 16:34:32.000000,26.0,34655.0,38118.0,https://anaconda.org/conda-forge/pyvista,2021-05-11 19:09:43.929000,86552.0,,,,,2.0,77.0,,,,,,,,,,,,,,,,,,,,,\n247,TensorFlow Text,tensorflow/text,,nlp,https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000000,2021-06-02 19:41:46.000000,2021-06-01 21:52:42.000000,92,52.0,99.0,742,432.0,Making text a first-class citizen in TensorFlow.,42.0,27,True,2021-05-24 19:16:25.000000,2.5.0,34.0,tensorflow-text,,,,['tensorflow'],710.0,706.0,https://pypi.org/project/tensorflow-text,2021-05-21 21:08:47.000000,4.0,585657.0,585657.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n248,zarr,zarr-developers/zarr-python,,data-containers,https://github.com/zarr-developers/zarr-python,https://github.com/zarr-developers/zarr-python,MIT,2015-12-15 14:49:40.000000,2021-06-01 19:38:40.000000,2021-06-01 19:14:20.000000,120,199.0,242.0,713,1417.0,\"An implementation of chunked, compressed, N-dimensional arrays for Python.\",43.0,27,True,2021-05-20 14:34:13.000000,2.8.3,37.0,zarr,conda-forge/zarr,,,,771.0,699.0,https://pypi.org/project/zarr,2021-05-20 14:34:13.000000,72.0,52853.0,65265.0,https://anaconda.org/conda-forge/zarr,2021-05-21 03:10:15.230000,757171.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n249,geojson,jazzband/geojson,,geospatial-data,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48.000000,2021-03-21 16:52:10.000000,2021-03-21 16:52:09.000000,85,23.0,52.0,627,448.0,Python bindings and utilities for GeoJSON.,44.0,27,True,2019-08-09 20:32:15.000000,2.5.0,28.0,geojson,conda-forge/geojson,,,,8588.0,6754.0,https://pypi.org/project/geojson,2019-08-09 20:32:15.000000,1834.0,620766.0,627218.0,https://anaconda.org/conda-forge/geojson,2019-08-11 12:10:34.426000,406503.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n250,data-validation,tensorflow/data-validation,,data-viz,https://github.com/tensorflow/data-validation,https://github.com/tensorflow/data-validation,Apache-2.0,2018-07-02 15:47:02.000000,2021-06-02 16:52:56.000000,2021-06-02 16:52:52.000000,99,37.0,87.0,552,628.0,Library for exploring and validating machine learning data.,20.0,27,True,2021-05-24 18:48:39.000000,1.0.0,29.0,tensorflow-data-validation,,,,\"['tensorflow', 'jupyter']\",301.0,283.0,https://pypi.org/project/tensorflow-data-validation,2021-05-24 18:48:39.000000,18.0,5879804.0,5879810.0,,,,,,,,2.0,226.0,,,,,,,,,,,,,,,,,,,,,\n251,CNTK,microsoft/CNTK,,ml-frameworks,https://github.com/microsoft/CNTK,https://github.com/microsoft/CNTK,MIT,2015-11-26 09:52:06.000000,2020-12-09 22:21:57.000000,2020-03-31 15:55:14.000000,4409,836.0,2523.0,17017,16116.0,\"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.\",266.0,26,False,2019-04-26 14:13:32.000000,2.7,32.0,cntk,,,,,34.0,,https://pypi.org/project/cntk,2020-12-09 22:21:57.000000,34.0,1843.0,2055.0,,,,,,,,3.0,13843.0,,,,,,,,,,,,,,,,,,,,,\n252,MMDetection,open-mmlab/mmdetection,,image,https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000000,2021-06-03 12:37:37.000000,2021-06-03 05:47:31.000000,5272,301.0,3528.0,15156,1578.0,OpenMMLab Detection Toolbox and Benchmark.,222.0,26,True,2021-06-01 12:11:59.000000,2.13.0,13.0,,,,,['pytorch'],58.0,58.0,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n253,baselines,openai/baselines,,reinforcement-learning,https://github.com/openai/baselines,https://github.com/openai/baselines,MIT,2017-05-24 01:58:13.000000,2021-02-21 12:16:56.000000,2020-01-31 13:06:18.000000,3915,454.0,428.0,11554,347.0,OpenAI Baselines: high-quality implementations of reinforcement learning algorithms.,114.0,26,False,2018-02-26 17:07:07.000000,0.1.5,6.0,baselines,,,,,391.0,317.0,https://pypi.org/project/baselines,2018-02-26 17:07:07.000000,74.0,1846.0,1846.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n254,Turi Create,apple/turicreate,,ml-frameworks,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04.000000,2021-04-28 21:08:43.000000,2021-03-31 19:36:36.000000,1103,481.0,1264.0,10288,,Turi Create simplifies the development of custom machine learning models.,82.0,26,True,2020-09-30 22:51:40.000000,6.4.1,31.0,turicreate,,,,,280.0,246.0,https://pypi.org/project/turicreate,2020-09-30 22:51:40.000000,34.0,28914.0,29016.0,,,,,,,,3.0,4319.0,,,,,,,,,,,,,,,,,,,,,\n255,Ludwig,ludwig-ai/ludwig,,ml-frameworks,https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000000,2021-06-03 13:49:15.000000,2021-06-03 13:14:29.000000,887,116.0,435.0,7698,2133.0,Ludwig is a toolbox that allows to train and evaluate deep learning models without the need to write code.,91.0,26,True,2021-02-01 00:23:30.000000,0.3.3,17.0,ludwig,,,,['tensorflow'],98.0,86.0,https://pypi.org/project/ludwig,2021-02-01 00:16:18.000000,12.0,2493.0,2493.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n256,PySyft,OpenMined/PySyft,,privacy-ml,https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,Apache-2.0,2017-07-18 20:41:16.000000,2021-06-03 14:49:52.000000,2021-06-03 12:26:28.000000,1651,189.0,2730.0,7227,8149.0,A library for answering questions using data you cannot see.,375.0,26,True,2020-11-12 19:57:58.000000,0.3.0,52.0,syft,,,,['pytorch'],6.0,,https://pypi.org/project/syft,2021-06-01 10:41:39.000000,6.0,2657.0,2657.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n257,Facets Overview,pair-code/facets,,data-viz,https://github.com/PAIR-code/facets,https://github.com/PAIR-code/facets,Apache-2.0,2017-07-07 14:03:03.000000,2021-05-06 12:01:08.000000,2021-05-06 12:01:05.000000,834,76.0,76.0,6590,264.0,Visualizations for machine learning datasets.,28.0,26,True,2019-07-24 15:57:06.000000,1.0.0,4.0,facets-overview,,,,['jupyter'],59.0,53.0,https://pypi.org/project/facets-overview,2019-07-24 15:57:06.000000,6.0,91069.0,91069.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n258,backtrader,mementum/backtrader,,financial-data,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52.000000,2021-05-27 03:20:44.000000,2021-02-11 20:51:09.000000,2065,29.0,,6585,2383.0,Python Backtesting library for trading strategies.,51.0,26,False,,,155.0,backtrader,,,,,668.0,598.0,https://pypi.org/project/backtrader,2020-07-03 13:02:14.000000,70.0,46060.0,46060.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n259,featuretools,alteryx/featuretools,,hyperopt,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17.000000,2021-06-02 22:16:48.000000,2021-06-02 22:16:44.000000,729,120.0,435.0,5588,,An open source python library for automated feature engineering.,50.0,26,True,2021-05-26 21:11:05.000000,0.24.1,74.0,featuretools,conda-forge/featuretools,,,,830.0,760.0,https://pypi.org/project/featuretools,2021-05-26 21:11:49.000000,70.0,179904.0,181711.0,https://anaconda.org/conda-forge/featuretools,2021-05-26 22:39:09.927000,54215.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n260,scikit-surprise,NicolasHug/Surprise,,recommender-systems,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38.000000,2020-10-13 01:22:58.850000,2020-08-05 17:45:59.000000,861,51.0,289.0,4866,622.0,A Python scikit for building and analyzing recommender systems.,38.0,26,True,2020-07-19 14:50:48.000000,1.1.1,9.0,scikit-surprise,conda-forge/scikit-surprise,,,,1153.0,1105.0,https://pypi.org/project/scikit-surprise,2020-07-19 14:50:48.000000,48.0,47800.0,52114.0,https://anaconda.org/conda-forge/scikit-surprise,2020-10-13 01:22:58.850000,176880.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n261,PyTorch3D,facebookresearch/pytorch3d,,image,https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,MIT,2019-10-25 02:23:45.000000,2021-06-02 18:11:36.000000,2021-06-02 18:11:32.000000,588,85.0,518.0,4852,441.0,PyTorch3D is FAIR's library of reusable components for deep learning with 3D data.,61.0,26,True,2021-02-09 23:13:45.000000,0.4.0,7.0,pytorch3d,pytorch3d/pytorch3d,,,['pytorch'],76.0,76.0,https://pypi.org/project/pytorch3d,2021-02-09 23:13:45.000000,0.0,8676.0,9225.0,https://anaconda.org/pytorch3d/pytorch3d,2021-02-09 22:34:07.773000,10446.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n262,PDFMiner,euske/pdfminer,,data-loading,https://github.com/euske/pdfminer,https://github.com/euske/pdfminer,MIT,2010-12-12 12:50:22.000000,2021-02-16 14:43:27.000000,2020-01-18 07:00:32.000000,1043,226.0,40.0,4597,540.0,Python PDF Parser (Not actively maintained). Check out pdfminer.six.,28.0,26,False,,,24.0,pdfminer,conda-forge/pdfminer,,,,3770.0,2304.0,https://pypi.org/project/pdfminer,2019-11-25 12:02:21.000000,1466.0,151156.0,151442.0,https://anaconda.org/conda-forge/pdfminer,2021-02-15 15:07:18.804000,16603.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n263,Jina,jina-ai/jina,,ml-frameworks,https://github.com/jina-ai/jina,https://github.com/jina-ai/jina,Apache-2.0,2020-02-13 17:04:44.000000,2021-06-03 13:40:49.833373,2021-06-03 13:19:51.000000,464,57.0,745.0,3632,5455.0,An easier way to build neural search on the cloud.,99.0,26,True,2021-05-29 01:19:02.000000,2.0.0rc4,704.0,jina,,jinaai/jina,,,64.0,64.0,https://pypi.org/project/jina,2021-06-03 13:21:27.000000,,8047.0,40124.0,,,,https://hub.docker.com/r/jinaai/jina,2021-06-03 13:40:49.833373,3.0,513235.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n264,AutoGluon,awslabs/autogluon,,hyperopt,https://github.com/awslabs/autogluon,https://github.com/awslabs/autogluon,Apache-2.0,2019-07-29 18:51:24.000000,2021-06-03 09:25:16.000000,2021-06-02 21:44:14.000000,434,114.0,362.0,3342,609.0,\"AutoGluon: AutoML for Text, Image, and Tabular Data.\",57.0,26,True,2021-04-28 22:25:13.000000,0.2.0,435.0,autogluon,,,,['mxnet'],53.0,53.0,https://pypi.org/project/autogluon,2021-06-03 09:25:16.000000,0.0,22395.0,22395.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n265,Hub,activeloopai/Hub,,data-pipelines,https://github.com/activeloopai/Hub,https://github.com/activeloopai/Hub,MPL-2.0,2019-08-09 06:17:59.000000,2021-06-03 13:39:18.000000,2021-06-01 12:27:34.000000,256,50.0,241.0,3273,2182.0,Fastest unstructured dataset management for TensorFlow/PyTorch. Stream data real-time & version-control it...,77.0,26,True,2021-05-29 14:38:13.000000,1.3.7,90.0,hub,,,,\"['tensorflow', 'pytorch']\",178.0,126.0,https://pypi.org/project/hub,2021-05-29 14:38:13.000000,52.0,2016.0,2016.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n266,yellowbrick,DistrictDataLabs/yellowbrick,,interpretability,https://github.com/DistrictDataLabs/yellowbrick,https://github.com/DistrictDataLabs/yellowbrick,Apache-2.0,2016-05-18 14:12:17.000000,2021-05-27 03:15:18.000000,2021-05-17 16:54:05.000000,478,95.0,532.0,3246,848.0,Visual analysis and diagnostic tools to facilitate machine learning model selection.,98.0,26,True,2021-02-13 20:31:18.000000,1.3.post1,22.0,yellowbrick,,,,['sklearn'],62.0,,https://pypi.org/project/yellowbrick,2021-02-13 20:42:26.000000,62.0,157980.0,157980.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n267,Stable Baselines,hill-a/stable-baselines,,reinforcement-learning,https://github.com/hill-a/stable-baselines,https://github.com/hill-a/stable-baselines,MIT,2018-07-02 14:28:59.000000,2021-06-02 12:43:18.000000,2021-06-02 12:43:17.000000,612,128.0,757.0,3145,837.0,\"A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.\",111.0,26,True,2021-04-06 12:37:09.000000,2.10.2,31.0,stable-baselines,,,,,50.0,,https://pypi.org/project/stable-baselines,2021-04-06 12:37:09.000000,50.0,11073.0,11073.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n268,pytorch-summary,sksq96/pytorch-summary,,pytorch-utils,https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04.000000,2021-05-10 18:34:53.000000,2021-05-10 18:34:53.000000,365,118.0,37.0,3123,57.0,Model summary in PyTorch similar to `model.summary()` in Keras.,11.0,26,True,2018-09-26 05:07:28.000000,1.5.1,12.0,torchsummary,,,,['pytorch'],2764.0,2646.0,https://pypi.org/project/torchsummary,2018-09-26 05:07:28.000000,118.0,65873.0,65873.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n269,textract,deanmalmgren/textract,,data-loading,https://github.com/deanmalmgren/textract,https://github.com/deanmalmgren/textract,MIT,2014-07-03 20:36:59.000000,2021-05-17 14:04:12.000000,2019-11-14 08:37:39.000000,439,89.0,121.0,3018,556.0,extract text from any document. no muss. no fuss.,30.0,26,False,2019-08-26 15:05:53.000000,1.6.3,15.0,textract,conda-forge/textract,,,,192.0,,https://pypi.org/project/textract,2019-08-26 15:05:53.000000,192.0,43127.0,43327.0,https://anaconda.org/conda-forge/textract,2021-05-16 12:45:14.907000,11417.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n270,vaderSentiment,cjhutto/vaderSentiment,,nlp,https://github.com/cjhutto/vaderSentiment,https://github.com/cjhutto/vaderSentiment,MIT,2014-11-17 16:31:45.000000,2021-05-19 10:09:45.000000,2021-03-15 18:43:06.000000,780,33.0,74.0,3015,127.0,VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based..,10.0,26,True,2020-05-22 15:07:00.000000,3.3.2,15.0,vadersentiment,,,,,2977.0,2691.0,https://pypi.org/project/vadersentiment,2020-05-22 15:07:00.000000,286.0,132574.0,132574.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n271,nevergrad,facebookresearch/nevergrad,,hyperopt,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000000,2021-06-02 18:13:16.992000,2021-06-02 09:31:22.000000,284,84.0,131.0,2966,831.0,A Python toolbox for performing gradient-free optimization.,42.0,26,True,2021-01-28 12:05:40.000000,0.4.3,30.0,nevergrad,conda-forge/nevergrad,,,,189.0,175.0,https://pypi.org/project/nevergrad,2021-04-19 09:16:19.000000,14.0,26193.0,26847.0,https://anaconda.org/conda-forge/nevergrad,2021-06-02 18:13:16.992000,9161.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n272,TensorForce,tensorforce/tensorforce,,reinforcement-learning,https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22.000000,2021-05-29 14:30:25.000000,2021-05-29 14:30:15.000000,495,10.0,576.0,2958,2051.0,Tensorforce: a TensorFlow library for applied reinforcement learning.,76.0,26,True,2021-03-22 21:45:44.000000,0.6.3,12.0,tensorforce,,,,['tensorflow'],46.0,,https://pypi.org/project/tensorforce,2019-09-07 13:56:18.000000,46.0,1709.0,1709.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n273,ClearML,allegroai/clearml,,ml-experiments,https://github.com/allegroai/clearml,https://github.com/allegroai/clearml,Apache-2.0,2019-06-10 08:18:32.000000,2021-06-02 18:11:51.000000,2021-06-02 18:11:51.000000,360,95.0,229.0,2483,1207.0,\"ClearML - Auto-Magical Suite of tools to streamline your ML workflow. Experiment Manager, ML-Ops and Data-Management.\",32.0,26,True,2021-05-31 19:45:35.000000,1.0.3,44.0,clearml,,allegroai/trains,,,41.0,41.0,https://pypi.org/project/clearml,2021-05-31 21:42:28.000000,0.0,19741.0,21005.0,,,,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,30053.0,2.0,304.0,,,,,,,,,,,,,,,,,,,,,\n274,gpustat,wookayin/gpustat,,gpu-utilities,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43.000000,2021-03-23 06:32:48.000000,2021-03-23 06:32:48.000000,195,19.0,49.0,2447,168.0,A simple command-line utility for querying and monitoring GPU status.,12.0,26,True,2019-07-22 06:37:00.000000,0.6.0,11.0,gpustat,conda-forge/gpustat,,,,971.0,913.0,https://pypi.org/project/gpustat,2021-01-02 05:59:41.000000,58.0,341068.0,343389.0,https://anaconda.org/conda-forge/gpustat,2020-11-24 19:59:04.772000,62681.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n275,GluonNLP,dmlc/gluon-nlp,,nlp,https://github.com/dmlc/gluon-nlp,https://github.com/dmlc/gluon-nlp,Apache-2.0,2018-04-04 20:57:13.000000,2021-05-27 17:38:36.000000,2021-05-24 15:19:12.000000,508,252.0,290.0,2285,838.0,\"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..\",81.0,26,True,2020-08-13 19:17:42.000000,0.10.0,26.0,gluonnlp,,,,['mxnet'],509.0,487.0,https://pypi.org/project/gluonnlp,2020-08-13 19:17:42.000000,22.0,57778.0,57778.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n276,aubio,aubio/aubio,,audio,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44.000000,2021-05-18 20:58:41.000000,2021-01-19 09:51:49.000000,311,117.0,175.0,2127,4111.0,a library for audio and music analysis.,24.0,26,False,2019-02-27 09:00:43.000000,0.4.9,10.0,aubio,conda-forge/aubio,,,,262.0,226.0,https://pypi.org/project/aubio,2019-02-08 11:21:02.000000,36.0,2108.0,10502.0,https://anaconda.org/conda-forge/aubio,2021-01-19 16:59:52.641000,428131.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n277,facenet-pytorch,timesler/facenet-pytorch,,image,https://github.com/timesler/facenet-pytorch,https://github.com/timesler/facenet-pytorch,MIT,2019-05-25 01:29:24.000000,2021-05-23 21:26:30.000000,2021-05-23 21:26:30.000000,460,41.0,87.0,2110,234.0,Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models.,14.0,26,True,2021-03-10 01:00:20.000000,2.5.2,31.0,facenet-pytorch,,,,['pytorch'],372.0,366.0,https://pypi.org/project/facenet-pytorch,2021-03-10 01:00:20.000000,6.0,15256.0,20737.0,,,,,,,,2.0,104143.0,,,,,,,,,,,,,,,,,,,,,\n278,ipyparallel,ipython/ipyparallel,,distributed-ml,https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,BSD-3-Clause,2015-04-09 07:43:55.000000,2021-06-03 13:17:31.000000,2021-06-01 10:55:26.000000,792,152.0,161.0,1969,,Interactive Parallel Computing in Python.,98.0,26,True,2020-05-05 18:42:38.000000,6.3.0,21.0,ipyparallel,conda-forge/ipyparallel,,,['jupyter'],2057.0,1567.0,https://pypi.org/project/ipyparallel,2020-05-05 18:42:38.000000,490.0,53921.0,61149.0,https://anaconda.org/conda-forge/ipyparallel,2021-01-22 17:12:52.539000,448196.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n279,BoTorch,pytorch/botorch,,hyperopt,https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000000,2021-06-02 23:20:43.000000,2021-06-02 23:20:35.000000,199,43.0,137.0,1951,916.0,Bayesian optimization in PyTorch.,54.0,26,True,2021-02-23 21:33:59.000000,0.4.0,16.0,botorch,,,,['pytorch'],127.0,127.0,https://pypi.org/project/botorch,2020-12-08 06:47:25.000000,0.0,51943.0,51943.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n280,StellarGraph,stellargraph/stellargraph,,graph,https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51.000000,2021-04-29 00:07:09.000000,2021-02-18 01:03:15.000000,279,233.0,716.0,1925,2515.0,StellarGraph - Machine Learning on Graphs.,32.0,26,True,2020-06-30 05:15:21.000000,1.2.1,25.0,stellargraph,,,,['tensorflow'],71.0,67.0,https://pypi.org/project/stellargraph,2020-06-30 05:10:43.000000,4.0,8593.0,8593.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n281,pytorch-optimizer,jettify/pytorch-optimizer,,pytorch-utils,https://github.com/jettify/pytorch-optimizer,https://github.com/jettify/pytorch-optimizer,Apache-2.0,2020-01-03 03:16:39.000000,2021-06-03 10:51:46.000000,2021-06-03 10:50:35.000000,174,10.0,25.0,1889,391.0,torch-optimizer -- collection of optimizers for Pytorch.,19.0,26,True,2021-01-01 16:51:15.000000,0.1.0,19.0,torch_optimizer,,,,['pytorch'],211.0,211.0,https://pypi.org/project/torch_optimizer,2021-01-01 16:51:15.000000,0.0,28814.0,28814.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n282,haystack,deepset-ai/haystack,,nlp,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000000,2021-06-03 14:42:16.000000,2021-06-03 13:49:07.000000,365,111.0,561.0,1877,645.0,End-to-end Python framework for building natural language search interfaces to data. Leverages Transformers and the..,48.0,26,True,2021-04-13 15:04:29.000000,0.8.0,34.0,haystack,,,,,220.0,54.0,https://pypi.org/project/haystack,2017-07-03 04:44:52.000000,166.0,1555.0,1555.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n283,PyFunctional,EntilZha/PyFunctional,,data-pipelines,https://github.com/EntilZha/PyFunctional,https://github.com/EntilZha/PyFunctional,MIT,2015-02-05 17:17:51.000000,2021-03-03 14:08:08.000000,2021-03-03 14:08:00.000000,102,3.0,116.0,1861,517.0,Python library for creating data pipelines with chain functional programming.,23.0,26,True,2021-01-12 19:21:07.000000,1.4.3,14.0,pyfunctional,,,,,292.0,292.0,https://pypi.org/project/pyfunctional,2021-01-12 19:14:48.000000,0.0,81179.0,81179.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n284,polyglot,aboSamoor/polyglot,,nlp,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,GPL-3.0,2014-06-30 02:07:45.000000,2021-04-28 03:41:03.000000,2020-09-22 22:35:28.000000,296,132.0,64.0,1843,271.0,Multilingual text (NLP) processing toolkit.,26.0,26,False,2016-07-03 20:05:42.000000,16.7.4,8.0,polyglot,,,,,629.0,499.0,https://pypi.org/project/polyglot,2016-07-03 20:05:42.000000,130.0,78757.0,78757.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n285,Pythran,serge-sans-paille/pythran,,others,https://github.com/serge-sans-paille/pythran,https://github.com/serge-sans-paille/pythran,BSD-3-Clause,2012-05-29 08:02:14.000000,2021-05-28 12:29:28.000000,2021-05-28 12:29:21.000000,145,105.0,570.0,1556,3375.0,Ahead of Time compiler for numeric kernels.,55.0,26,True,2021-05-23 08:40:13.000000,0.9.11,48.0,pythran,conda-forge/pythran,,,,79.0,53.0,https://pypi.org/project/pythran,2021-05-23 08:40:13.000000,26.0,9031.0,13359.0,https://anaconda.org/conda-forge/pythran,2021-05-24 13:13:19.605000,160158.0,,,,,2.0,,,,,,,,,,,,,,,pythran,python-pythran,,,,,,\n286,hnswlib,nmslib/hnswlib,,nn-search,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000000,2021-06-02 05:07:53.000000,2021-02-04 04:34:33.000000,273,97.0,112.0,1540,275.0,Header-only C++/python library for fast approximate nearest neighbors.,41.0,26,True,2021-02-04 04:55:19.000000,0.5.1,5.0,hnswlib,,,,,124.0,122.0,https://pypi.org/project/hnswlib,2021-02-04 04:55:19.000000,2.0,34646.0,34646.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n287,datasketch,ekzhu/datasketch,,data-containers,https://github.com/ekzhu/datasketch,https://github.com/ekzhu/datasketch,MIT,2015-03-20 01:21:46.000000,2021-06-02 06:52:35.000000,2021-06-02 06:48:06.000000,207,21.0,93.0,1494,195.0,\"MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble.\",18.0,26,True,2020-12-23 21:01:43.000000,1.5.3,75.0,datasketch,,,,,376.0,290.0,https://pypi.org/project/datasketch,2020-12-23 21:01:43.000000,86.0,261798.0,261798.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,,,,\n288,Elephas,maxpumperla/elephas,,distributed-ml,https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19.000000,2021-04-23 12:34:45.000000,2021-04-21 22:10:18.000000,290,22.0,123.0,1478,496.0,Distributed Deep learning with Keras & Spark.,27.0,26,True,2021-04-23 12:34:45.000000,2.1.0,21.0,elephas,,,,\"['keras', 'spark']\",45.0,42.0,https://pypi.org/project/elephas,2021-04-21 22:11:22.000000,3.0,14584.0,14584.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n289,TFX,tensorflow/tfx,,data-pipelines,https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000000,2021-06-03 06:29:55.000000,2021-06-02 22:55:07.000000,448,258.0,382.0,1460,3576.0,TFX is an end-to-end platform for deploying production ML pipelines.,116.0,26,True,2021-05-17 23:24:51.000000,0.30.0,51.0,tfx,,,,['tensorflow'],4.0,,https://pypi.org/project/tfx,2021-05-26 18:17:34.000000,4.0,217783.0,217783.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n290,jellyfish,jamesturk/jellyfish,,nlp,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,BSD-2-Clause,2010-07-09 20:41:11.000000,2021-04-29 19:45:29.000000,2021-04-29 19:45:29.000000,128,12.0,89.0,1451,,a python library for doing approximate and phonetic matching of strings.,23.0,26,True,2020-05-21 20:37:01.000000,0.8.2,27.0,jellyfish,conda-forge/jellyfish,,,,3078.0,2432.0,https://pypi.org/project/jellyfish,2020-05-21 20:37:01.000000,646.0,1497916.0,1500203.0,https://anaconda.org/conda-forge/jellyfish,2021-01-08 15:04:47.681000,130392.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n291,petastorm,uber/petastorm,,distributed-ml,https://github.com/uber/petastorm,https://github.com/uber/petastorm,Apache-2.0,2018-06-15 23:15:29.000000,2021-06-02 18:12:58.000000,2021-06-02 17:55:41.000000,197,138.0,119.0,1156,642.0,Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets..,39.0,26,True,2021-05-14 17:16:36.000000,0.11.0,71.0,petastorm,,,,,31.0,31.0,https://pypi.org/project/petastorm,2021-06-02 18:12:58.000000,0.0,111152.0,111160.0,,,,,,,,2.0,288.0,,,,,,,,,,,,,,,,,,,,,\n292,TF Model Optimization,tensorflow/model-optimization,,tensorflow-utils,https://github.com/tensorflow/model-optimization,https://github.com/tensorflow/model-optimization,Apache-2.0,2018-10-31 20:34:28.000000,2021-06-03 08:49:36.000000,2021-06-03 08:49:27.000000,247,74.0,125.0,1054,569.0,\"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.\",52.0,26,True,2020-09-14 04:46:03.000000,0.5.0,22.0,tensorflow-model-optimization,,,,['tensorflow'],848.0,842.0,https://pypi.org/project/tensorflow-model-optimization,2021-05-17 04:00:04.000000,6.0,202326.0,202326.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n293,arviz,arviz-devs/arviz,,interpretability,https://github.com/arviz-devs/arviz,https://github.com/arviz-devs/arviz,Apache-2.0,2015-07-29 11:51:10.000000,2021-06-03 09:55:09.000000,2021-05-31 04:59:58.000000,211,122.0,477.0,1032,,Exploratory analysis of Bayesian models with Python.,83.0,26,True,2021-02-21 19:39:56.000000,0.11.2,23.0,arviz,conda-forge/arviz,,,,1003.0,967.0,https://pypi.org/project/arviz,2021-02-21 19:39:56.000000,36.0,240012.0,252210.0,https://anaconda.org/conda-forge/arviz,2021-04-20 19:35:43.998000,304912.0,,,,,2.0,98.0,,,,,,,,,,,,,,,,,,,,,\n294,bcolz,Blosc/bcolz,,data-containers,https://github.com/Blosc/bcolz,https://github.com/Blosc/bcolz,BSD-3-Clause,2010-08-18 15:27:02.000000,2021-04-02 08:59:38.000000,2020-09-10 12:12:45.000000,118,126.0,122.0,917,1280.0,A columnar data container that can be compressed.,33.0,26,True,2018-04-13 07:44:26.000000,1.2.1,23.0,bcolz,conda-forge/bcolz,,,,2558.0,1590.0,https://pypi.org/project/bcolz,2018-04-13 07:44:26.000000,968.0,27302.0,32018.0,https://anaconda.org/conda-forge/bcolz,2019-11-05 21:09:48.045000,245255.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n295,CLTK,cltk/cltk,,nlp,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000000,2021-05-21 17:15:24.000000,2021-05-21 17:07:18.000000,300,128.0,378.0,664,3573.0,The Classical Language Toolkit.,111.0,26,True,2021-05-21 17:15:24.000000,1.0.14,184.0,cltk,,,,,237.0,169.0,https://pypi.org/project/cltk,2021-05-21 17:15:24.000000,68.0,2432.0,2432.0,,,,,,,,2.0,22.0,,,,,,,,,,,,,,,,,,,,,\n296,SMAC3,automl/SMAC3,,hyperopt,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-3-Clause,2016-08-17 10:58:05.000000,2021-04-12 07:55:03.000000,2020-10-29 10:14:55.000000,159,77.0,252.0,583,1888.0,Sequential Model-based Algorithm Configuration.,30.0,26,True,2021-03-15 08:26:39.000000,0.13.1,29.0,smac,,,,,58.0,,https://pypi.org/project/smac,2020-10-29 10:57:56.000000,58.0,23728.0,23728.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n297,Intake,intake/intake,,data-loading,https://github.com/intake/intake,https://github.com/intake/intake,BSD-2-Clause,2017-08-14 20:44:22.000000,2021-05-19 01:30:43.000000,2021-05-19 01:30:43.000000,100,77.0,198.0,570,1681.0,\"Intake is a lightweight package for finding, investigating, loading and disseminating data.\",60.0,26,True,2021-03-16 19:53:00.000000,0.6.2,21.0,intake,conda-forge/intake,,,,337.0,263.0,https://pypi.org/project/intake,2021-03-16 19:53:00.000000,74.0,7875.0,10413.0,https://anaconda.org/conda-forge/intake,2021-03-16 21:22:12.681000,78681.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n298,inflect,jaraco/inflect,,nlp,https://github.com/jaraco/inflect,https://github.com/jaraco/inflect,MIT,2010-06-20 13:43:13.000000,2021-06-03 02:01:58.000000,2021-03-23 00:21:53.000000,59,16.0,63.0,518,,\"Correctly generate plurals, ordinals, indefinite articles; convert numbers to words.\",29.0,26,True,2021-03-03 01:35:47.000000,5.3.0,33.0,inflect,conda-forge/inflect,,,,1388.0,,https://pypi.org/project/inflect,2021-03-03 01:35:47.000000,1388.0,1548611.0,1551760.0,https://anaconda.org/conda-forge/inflect,2021-03-03 03:46:48.932000,157459.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n299,audioread,beetbox/audioread,,audio,https://github.com/beetbox/audioread,https://github.com/beetbox/audioread,MIT,2011-11-08 19:53:18.000000,2021-03-16 02:44:53.632000,2020-10-20 11:22:05.000000,83,31.0,44.0,364,232.0,cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python.,20.0,26,True,2020-10-20 11:23:09.000000,2.1.9,25.0,audioread,conda-forge/audioread,,,,5776.0,5190.0,https://pypi.org/project/audioread,2020-10-20 11:23:09.000000,586.0,487084.0,491063.0,https://anaconda.org/conda-forge/audioread,2021-03-16 02:44:53.632000,234815.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n300,Cython BLIS,explosion/cython-blis,,others,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16.000000,2021-03-15 19:42:45.000000,2021-03-15 19:42:37.000000,25,6.0,16.0,170,526.0,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,9.0,26,True,2020-12-07 08:56:44.000000,0.7.4,35.0,blis,conda-forge/cython-blis,,,,11148.0,10758.0,https://pypi.org/project/blis,2020-12-07 08:56:44.000000,390.0,1978265.0,2012634.0,https://anaconda.org/conda-forge/cython-blis,2021-01-31 09:13:47.685000,927968.0,,,,,2.0,,-2.0,,,,,,,,,,,,,,,,,,,,\n301,spleeter,deezer/spleeter,,audio,https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000000,2021-06-02 14:43:25.000000,2021-06-02 14:43:25.000000,1734,84.0,469.0,16568,463.0,Deezer source separation library including pretrained models.,17.0,25,True,2021-04-15 15:05:07.000000,2.2.2,33.0,spleeter,conda-forge/spleeter,,,['tensorflow'],0.0,,https://pypi.org/project/spleeter,2021-04-15 15:05:07.000000,0.0,9605.0,66437.0,https://anaconda.org/conda-forge/spleeter,2020-06-30 14:33:43.220000,52239.0,,,,,2.0,1081670.0,,,,,,,,,,,,,,,,,,,,,\n302,PaddleOCR,PaddlePaddle/PaddleOCR,,ocr,https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000000,2021-06-03 13:31:39.000000,2021-06-02 12:15:51.000000,2544,659.0,1424.0,12719,,\"Awesome multilingual OCR toolkits based on PaddlePaddle practical ultra lightweight OCR system, support 80+ languages..\",56.0,25,True,2021-05-26 11:43:06.000000,2.1.1,13.0,paddleocr,,,,['paddle'],164.0,164.0,https://pypi.org/project/paddleocr,2021-04-13 04:02:10.000000,0.0,6173.0,6173.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n303,pysc2,deepmind/pysc2,,others,https://github.com/deepmind/pysc2,https://github.com/deepmind/pysc2,Apache-2.0,2017-07-25 18:16:57.000000,2020-07-29 16:22:31.000000,2019-09-27 15:23:22.000000,1103,57.0,203.0,7260,513.0,StarCraft II Learning Environment.,34.0,25,False,2019-09-27 15:48:01.000000,3.0.0,7.0,pysc2,,,,,292.0,252.0,https://pypi.org/project/pysc2,2019-09-27 15:48:01.000000,40.0,1235.0,1815.0,,,,,,,,2.0,26695.0,,,,,,,,,,,,,,,,,,,,,\n304,Milvus,milvus-io/milvus,,nn-search,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000000,2021-06-03 12:56:34.000000,2021-06-03 12:56:33.000000,904,229.0,2190.0,6343,6978.0,\"An open source vector database powered by Faiss, NMSLIB and Annoy.\",141.0,25,True,2021-05-28 12:08:37.000000,1.1.1,48.0,pymilvus,,milvusdb/milvus,,,6.0,,https://pypi.org/project/pymilvus,2021-05-28 12:08:37.000000,6.0,16332.0,32875.0,,,,https://hub.docker.com/r/milvusdb/milvus,2021-05-07 02:44:21.071424,11.0,347410.0,2.0,,,,,,,,,,,,,,,,,,,,,,\n305,Vaex,vaexio/vaex,,data-containers,https://github.com/vaexio/vaex,https://github.com/vaexio/vaex,MIT,2014-09-27 09:44:42.000000,2021-06-03 09:14:41.000000,2021-05-28 07:36:01.000000,474,319.0,453.0,6306,3025.0,\"Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualize and explore big tabular data at a billion..\",43.0,25,True,2021-03-18 09:19:49.000000,4.1.0,51.0,vaex,conda-forge/vaex,,,,4.0,,https://pypi.org/project/vaex,2021-03-18 09:19:49.000000,4.0,13905.0,15798.0,https://anaconda.org/conda-forge/vaex,2021-03-09 14:33:41.948000,105900.0,,,,,3.0,209.0,,,,,,,,,,,,,,,,,,,,,\n306,Trax,google/trax,,others,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000000,2021-05-30 20:51:27.000000,2021-05-28 01:21:21.000000,599,77.0,116.0,6207,1509.0,Trax Deep Learning with Clear Code and Speed.,70.0,25,True,2021-05-21 19:54:43.000000,1.3.9,22.0,trax,,,,,28.0,28.0,https://pypi.org/project/trax,2021-05-21 19:54:03.000000,,5659.0,5659.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n307,PyText,facebookresearch/pytext,,nlp,https://github.com/facebookresearch/pytext,https://github.com/facebookresearch/pytext,BSD-3-Clause,2018-07-31 23:40:46.000000,2021-06-03 00:01:14.000000,2021-06-03 00:01:09.000000,787,131.0,74.0,6196,1585.0,A natural language modeling framework based on PyTorch.,194.0,25,True,2020-06-08 23:30:58.000000,0.3.3,13.0,pytext-nlp,,,,['pytorch'],82.0,81.0,https://pypi.org/project/pytext-nlp,2020-06-08 22:49:33.000000,1.0,491.0,498.0,,,,,,,,3.0,235.0,,,,,,,,,,,,,,,,,,,,,\n308,carla,carla-simulator/carla,,others,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000000,2021-06-03 14:58:21.000000,2021-04-21 21:38:33.000000,1807,365.0,2876.0,6025,4761.0,Open-source simulator for autonomous driving research.,122.0,25,True,2020-12-23 07:08:35.000000,0.9.11,22.0,carla,,,,,73.0,69.0,https://pypi.org/project/carla,2019-04-28 17:45:24.000000,4.0,784.0,784.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n309,stanza,stanfordnlp/stanza,,nlp,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56.000000,2021-06-03 04:46:22.000000,2021-02-10 16:16:29.000000,692,66.0,445.0,5448,,Official Stanford NLP Python Library for Many Human Languages.,32.0,25,True,2021-01-29 20:05:25.000000,1.2.0,10.0,stanza,stanfordnlp/stanza,,,,496.0,492.0,https://pypi.org/project/stanza,2021-01-27 16:31:43.000000,4.0,40907.0,41155.0,https://anaconda.org/stanfordnlp/stanza,2021-01-27 22:24:06.992000,3722.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n310,PaddleHub,PaddlePaddle/PaddleHub,,others,https://github.com/PaddlePaddle/PaddleHub,https://github.com/PaddlePaddle/PaddleHub,Apache-2.0,2018-12-21 06:00:48.000000,2021-06-03 06:45:03.000000,2021-05-31 12:38:06.000000,1132,255.0,567.0,5153,,\"Awesome pre-trained models toolkit based on PaddlePaddle.(300+ models including Image, Text, Audio and Video with Easy..\",37.0,25,True,2021-04-27 09:56:48.000000,2.1.0,45.0,paddlehub,,,,['paddle'],259.0,259.0,https://pypi.org/project/paddlehub,2021-04-27 09:56:48.000000,0.0,3259.0,3277.0,,,,,,,,2.0,500.0,,,,,,,,,,,,,,,,,,,,,\n311,keras-rl,keras-rl/keras-rl,,reinforcement-learning,https://github.com/keras-rl/keras-rl,https://github.com/keras-rl/keras-rl,MIT,2016-07-02 15:53:12.000000,2020-11-20 07:32:13.000000,2019-11-11 22:14:54.000000,1316,43.0,212.0,5051,308.0,Deep Reinforcement Learning for Keras.,40.0,25,False,2018-06-01 07:52:24.000000,0.4.2,8.0,keras-rl,,,,['tensorflow'],598.0,496.0,https://pypi.org/project/keras-rl,2018-06-01 07:52:24.000000,102.0,2326.0,2326.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n312,DeepSpeed,microsoft/DeepSpeed,,distributed-ml,https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,MIT,2020-01-23 18:35:18.000000,2021-06-03 12:09:19.000000,2021-06-03 12:08:35.000000,481,232.0,257.0,5027,583.0,\"DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.\",54.0,25,True,2021-04-30 19:40:48.000000,0.3.16,24.0,deepspeed,,deepspeed/deepspeed,,['pytorch'],40.0,40.0,https://pypi.org/project/deepspeed,2021-04-30 19:28:56.000000,0.0,29442.0,29943.0,,,,https://hub.docker.com/r/deepspeed/deepspeed,2021-05-05 21:39:11.981563,2.0,8526.0,2.0,,,,,,,,,,,,,,,,,,,,,,\n313,Edward,blei-lab/edward,,probabilistics,https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05.000000,2019-10-22 20:30:48.000000,2018-07-25 01:28:08.000000,767,212.0,327.0,4637,1796.0,\"A probabilistic programming language in TensorFlow. Deep generative models, variational inference.\",87.0,25,False,2018-01-22 06:03:37.000000,1.3.5,28.0,edward,,,,['tensorflow'],305.0,227.0,https://pypi.org/project/edward,2018-01-22 06:03:05.000000,78.0,2392.0,2392.0,,,,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,,,,\n314,Great Expectations,great-expectations/great_expectations,,data-pipelines,https://github.com/great-expectations/great_expectations,https://github.com/great-expectations/great_expectations,Apache-2.0,2017-09-11 00:18:46.000000,2021-06-03 15:23:34.000000,2021-06-03 00:39:36.000000,555,131.0,756.0,4490,,Always know what to expect from your data.,196.0,25,True,2021-04-24 00:01:07.000000,0.13.19,110.0,great_expectations,,,,,6.0,,https://pypi.org/project/great_expectations,2021-04-23 23:47:28.000000,6.0,972124.0,972124.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n315,Augmentor,mdbloice/Augmentor,,image,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55.000000,2020-11-10 05:20:01.000000,2020-03-09 11:32:02.000000,805,118.0,67.0,4441,511.0,Image augmentation library in Python for machine learning.,22.0,25,False,2020-01-17 11:59:53.000000,0.2.8,20.0,Augmentor,,,,,362.0,320.0,https://pypi.org/project/Augmentor,2020-01-17 11:59:53.000000,42.0,16765.0,16765.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n316,textgenrnn,minimaxir/textgenrnn,,nlp,https://github.com/minimaxir/textgenrnn,https://github.com/minimaxir/textgenrnn,MIT,2017-08-07 02:13:37.000000,2021-06-02 22:47:55.000000,2020-07-14 02:41:10.000000,681,117.0,84.0,4402,174.0,Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines..,19.0,25,True,2020-02-03 01:07:00.000000,2.0.0,14.0,textgenrnn,,,,['tensorflow'],929.0,901.0,https://pypi.org/project/textgenrnn,2020-02-02 21:16:15.000000,28.0,2472.0,2485.0,,,,,,,,3.0,507.0,,,,,,,,,,,,,,,,,,,,,\n317,Lucid,tensorflow/lucid,,interpretability,https://github.com/tensorflow/lucid,https://github.com/tensorflow/lucid,Apache-2.0,2018-01-25 17:41:44.000000,2021-03-19 16:01:00.000000,2021-03-19 15:48:33.000000,592,65.0,98.0,4212,667.0,A collection of infrastructure and tools for research in neural network interpretability.,40.0,25,True,2021-03-19 16:01:00.000000,0.3.10,17.0,lucid,,,,['tensorflow'],567.0,561.0,https://pypi.org/project/lucid,2021-03-19 16:01:00.000000,6.0,1285.0,1285.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n318,VisualDL,PaddlePaddle/VisualDL,,ml-experiments,https://github.com/PaddlePaddle/VisualDL,https://github.com/PaddlePaddle/VisualDL,Apache-2.0,2017-12-20 12:34:31.000000,2021-06-03 07:20:38.000000,2021-06-03 04:02:04.000000,557,34.0,320.0,4099,,Deep Learning Visualization Toolkit.,30.0,25,True,2021-05-24 15:45:53.000000,2.2.0,32.0,visualdl,,,,['paddle'],376.0,366.0,https://pypi.org/project/visualdl,2021-05-23 12:50:12.000000,10.0,15161.0,15171.0,,,,,,,,3.0,126.0,,,,,,,,,,,,,,,,,,,,,\n319,sktime,alan-turing-institute/sktime,,time-series-data,https://github.com/alan-turing-institute/sktime,https://github.com/alan-turing-institute/sktime,BSD-3-Clause,2018-11-06 15:08:24.000000,2021-06-03 14:12:18.000000,2021-06-03 11:54:09.000000,549,156.0,319.0,4032,,A unified framework for machine learning with time series.,92.0,25,True,2021-05-14 23:18:54.000000,0.6.1,15.0,sktime,,,,['sklearn'],168.0,168.0,https://pypi.org/project/sktime,2021-05-14 23:18:54.000000,0.0,65215.0,65217.0,,,,,,,,2.0,58.0,,,,,,,,,,,,,,,,,,,,,\n320,BigDL,intel-analytics/BigDL,,distributed-ml,https://github.com/intel-analytics/BigDL,https://github.com/intel-analytics/BigDL,Apache-2.0,2016-08-29 07:59:50.000000,2021-06-02 02:57:34.000000,2021-06-02 02:57:34.000000,906,185.0,729.0,3731,2666.0,BigDL: Distributed Deep Learning Framework for Apache Spark.,73.0,25,True,2021-04-21 01:53:25.000000,0.12.2,39.0,bigdl,,,,,32.0,26.0,https://pypi.org/project/bigdl,2021-04-07 05:17:55.000000,6.0,2577.0,2577.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,com.intel.analytics.bigdl:bigdl-SPARK_2.4,https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4,2021-04-20 01:33:14.000000,0.0,,\n321,mlpack,mlpack/mlpack,,ml-frameworks,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59.000000,2021-06-03 06:31:58.000000,2021-05-30 23:53:45.000000,1340,154.0,1249.0,3690,26398.0,mlpack: a scalable C++ machine learning library --.,274.0,25,True,2020-10-28 18:28:47.000000,3.4.2,40.0,mlpack,conda-forge/mlpack,,,,0.0,,https://pypi.org/project/mlpack,2020-10-28 18:28:47.000000,0.0,1080.0,3262.0,https://anaconda.org/conda-forge/mlpack,2020-10-29 09:35:18.918000,76378.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n322,TensorFlowOnSpark,yahoo/TensorFlowOnSpark,,distributed-ml,https://github.com/yahoo/TensorFlowOnSpark,https://github.com/yahoo/TensorFlowOnSpark,Apache-2.0,2017-01-20 18:15:57.000000,2021-05-25 20:46:24.000000,2021-05-25 20:25:18.000000,945,12.0,338.0,3678,622.0,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,33.0,25,True,2021-05-25 22:25:31.000000,2.2.4,31.0,tensorflowonspark,,,,\"['tensorflow', 'spark']\",5.0,,https://pypi.org/project/tensorflowonspark,2021-05-25 20:44:29.000000,5.0,110628.0,110628.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n323,lightfm,lyst/lightfm,,recommender-systems,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00.000000,2021-03-25 21:33:37.000000,2021-02-07 21:16:06.000000,585,79.0,342.0,3631,428.0,\"A Python implementation of LightFM, a hybrid recommendation algorithm.\",44.0,25,True,2020-11-27 19:48:30.000000,1.16,14.0,lightfm,conda-forge/lightfm,,,,530.0,474.0,https://pypi.org/project/lightfm,2020-11-27 19:55:08.000000,56.0,189764.0,192045.0,https://anaconda.org/conda-forge/lightfm,2021-02-07 22:19:58.097000,93527.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n324,T5,google-research/text-to-text-transfer-transformer,,nlp,https://github.com/google-research/text-to-text-transfer-transformer,https://github.com/google-research/text-to-text-transfer-transformer,Apache-2.0,2019-10-17 21:45:14.000000,2021-06-02 22:30:44.000000,2021-06-01 15:12:29.000000,458,50.0,320.0,3411,488.0,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,37.0,25,True,2021-03-03 15:19:14.000000,0.9.0,26.0,t5,,,,['tensorflow'],40.0,40.0,https://pypi.org/project/t5,2021-03-03 15:19:14.000000,0.0,11136.0,11136.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n325,Alpha Vantage,RomelTorres/alpha_vantage,,financial-data,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00.000000,2021-02-17 12:42:04.000000,2020-12-21 19:51:57.000000,600,16.0,226.0,3362,497.0,A python wrapper for Alpha Vantage API for financial data.,36.0,25,True,2020-12-21 02:37:29.000000,2.3.1,28.0,alpha_vantage,,,,,202.0,,https://pypi.org/project/alpha_vantage,2018-08-26 18:55:11.000000,202.0,34597.0,34597.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n326,PML,KevinMusgrave/pytorch-metric-learning,,pytorch-utils,https://github.com/KevinMusgrave/pytorch-metric-learning,https://github.com/KevinMusgrave/pytorch-metric-learning,MIT,2019-10-23 17:20:35.000000,2021-05-31 07:00:13.000000,2021-05-10 03:58:39.000000,415,38.0,221.0,3252,704.0,\"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.\",19.0,25,True,2021-05-10 02:52:47.000000,0.9.99,159.0,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,,['pytorch'],87.0,87.0,https://pypi.org/project/pytorch-metric-learning,2019-12-27 11:28:11.000000,0.0,13719.0,13874.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2021-05-10 03:54:12.379000,2651.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n327,VisPy,vispy/vispy,,data-viz,https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22.000000,2021-06-02 19:07:07.000000,2021-06-02 15:29:13.000000,549,354.0,828.0,2657,,High-performance interactive 2D/3D data visualization library.,150.0,25,True,2020-12-14 15:55:00.000000,0.6.6,16.0,vispy,conda-forge/vispy,,,['jupyter'],636.0,514.0,https://pypi.org/project/vispy,2020-11-28 02:55:50.000000,122.0,32272.0,35748.0,https://anaconda.org/conda-forge/vispy,2021-04-30 14:06:59.690000,150776.0,,,,,3.0,,,,vispy,https://www.npmjs.com/package/vispy,2020-03-15 14:39:41.516000,,50.0,,,,,,,,,,,,,,\n328,Sumy,miso-belica/sumy,,nlp,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48.000000,2020-11-21 17:08:35.000000,2020-11-21 17:08:33.000000,447,13.0,78.0,2583,397.0,Module for automatic summarization of text documents and HTML pages.,20.0,25,True,2019-05-19 14:39:21.000000,0.8.1,13.0,sumy,,,,,993.0,801.0,https://pypi.org/project/sumy,2019-05-19 14:38:29.000000,192.0,23338.0,23338.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n329,Neural Network Libraries,sony/nnabla,,ml-frameworks,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10.000000,2021-06-02 09:07:22.000000,2021-06-02 09:07:22.000000,300,30.0,31.0,2455,2687.0,Neural Network Libraries.,58.0,25,True,2021-04-14 00:00:37.000000,1.19.0,55.0,nnabla,,,,,34.0,,https://pypi.org/project/nnabla,2021-04-13 05:42:15.000000,34.0,2651.0,2662.0,,,,,,,,3.0,523.0,,,,,,,,,,,,,,,,,,,,,\n330,Hyperas,maxpumperla/hyperas,,hyperopt,https://github.com/maxpumperla/hyperas,https://github.com/maxpumperla/hyperas,MIT,2016-02-19 14:45:10.000000,2020-12-22 08:31:48.000000,2020-12-22 08:31:47.000000,304,88.0,158.0,2089,209.0,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,21.0,25,True,2019-02-28 09:16:54.000000,0.4.1,9.0,hyperas,,,,['tensorflow'],244.0,202.0,https://pypi.org/project/hyperas,2019-02-28 09:16:54.000000,42.0,41943.0,41943.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n331,scikit-plot,reiinakano/scikit-plot,,interpretability,https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59.000000,2021-02-26 14:37:45.000000,2018-08-19 12:37:47.000000,247,21.0,39.0,2086,130.0,An intuitive library to add plotting functionality to scikit-learn objects.,13.0,25,False,2018-08-19 12:21:01.000000,0.3.7,27.0,scikit-plot,conda-forge/scikit-plot,,,['sklearn'],1051.0,997.0,https://pypi.org/project/scikit-plot,2018-08-19 12:18:46.000000,54.0,131384.0,133295.0,https://anaconda.org/conda-forge/scikit-plot,2019-06-05 14:23:59.043000,89824.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n332,causalml,uber/causalml,,others,https://github.com/uber/causalml,https://github.com/uber/causalml,Apache-2.0,2019-07-09 02:08:58.000000,2021-05-18 17:59:44.000000,2021-05-18 17:59:40.000000,294,38.0,145.0,1997,316.0,Uplift modeling and causal inference with machine learning algorithms.,26.0,25,True,2021-02-19 20:58:43.000000,0.10.0,13.0,causalml,,,,,21.0,21.0,https://pypi.org/project/causalml,2021-02-19 20:32:15.000000,0.0,24384.0,24384.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n333,TextDistance,life4/textdistance,,nlp,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10.000000,2021-01-29 15:41:57.288000,2021-01-29 09:03:55.000000,165,9.0,,1979,304.0,\"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..\",9.0,25,True,2021-01-29 09:04:46.000000,.4.2.1,21.0,textdistance,conda-forge/textdistance,,,,634.0,606.0,https://pypi.org/project/textdistance,2021-01-29 09:03:27.000000,28.0,280458.0,281496.0,https://anaconda.org/conda-forge/textdistance,2021-01-29 15:41:57.288000,38356.0,,,,,3.0,105.0,,,,,,,,,,,,,,,,,,,,,\n334,efficientnet,qubvel/efficientnet,,tensorflow-utils,https://github.com/qubvel/efficientnet,https://github.com/qubvel/efficientnet,Apache-2.0,2019-05-30 20:21:09.000000,2021-04-18 18:12:08.000000,2020-09-15 16:19:36.000000,416,59.0,55.0,1835,64.0,Implementation of EfficientNet model. Keras and TensorFlow Keras.,8.0,25,True,2020-09-15 16:26:00.000000,1.1.1,9.0,efficientnet,,,,['tensorflow'],630.0,626.0,https://pypi.org/project/efficientnet,2020-09-15 16:26:00.000000,4.0,99420.0,106471.0,,,,,,,,3.0,176298.0,,,,,,,,,,,,,,,,,,,,,\n335,pgmpy,pgmpy/pgmpy,,probabilistics,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000000,2021-06-01 10:58:51.000000,2021-06-01 10:30:13.000000,567,232.0,511.0,1808,6.0,Python Library for learning (Structure and Parameter) and inference (Statistical and Causal) in Bayesian Networks.,93.0,25,True,2021-03-31 09:08:49.000000,0.1.14,13.0,pgmpy,,,,,245.0,233.0,https://pypi.org/project/pgmpy,2021-03-31 07:30:01.000000,12.0,29874.0,29880.0,,,,,,,,3.0,75.0,,,,,,,,,,,,,,,,,,,,,\n336,textacy,chartbeat-labs/textacy,,nlp,https://github.com/chartbeat-labs/textacy,https://github.com/chartbeat-labs/textacy,Apache-2.0,2016-02-03 16:52:45.000000,2021-05-31 17:18:30.000000,2021-05-31 16:43:05.000000,226,30.0,207.0,1686,,\"NLP, before and after spaCy.\",31.0,25,True,2021-04-12 15:49:48.000000,0.11.0,30.0,textacy,conda-forge/textacy,,,,154.0,,https://pypi.org/project/textacy,2021-04-12 15:49:48.000000,154.0,224994.0,226807.0,https://anaconda.org/conda-forge/textacy,2021-04-13 18:57:20.207000,88842.0,,,,,3.0,,-3.0,,,,,,,,,,,,,,,,,,,,\n337,category_encoders,scikit-learn-contrib/category_encoders,,sklearn-utils,https://github.com/scikit-learn-contrib/category_encoders,https://github.com/scikit-learn-contrib/category_encoders,BSD-3-Clause,2015-11-29 19:32:37.000000,2021-06-01 17:33:53.000000,2020-07-31 10:43:44.000000,305,73.0,136.0,1668,671.0,A library of sklearn compatible categorical variable encoders.,37.0,25,True,2020-04-29 02:09:51.000000,2.2.2,19.0,category_encoders,conda-forge/category_encoders,,,['sklearn'],23.0,,https://pypi.org/project/category_encoders,2018-10-14 14:15:54.000000,23.0,353412.0,355208.0,https://anaconda.org/conda-forge/category_encoders,2020-04-29 22:37:35.948000,105967.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n338,swifter,jmcarpenter2/swifter,,data-containers,https://github.com/jmcarpenter2/swifter,https://github.com/jmcarpenter2/swifter,MIT,2018-04-07 21:37:19.000000,2021-04-05 23:39:32.730000,2020-12-19 19:11:44.000000,80,19.0,77.0,1655,423.0,A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner.,14.0,25,True,2020-10-11 22:42:57.000000,1.0.7,71.0,swifter,conda-forge/swifter,,,['pandas'],368.0,336.0,https://pypi.org/project/swifter,2020-10-11 22:42:57.000000,32.0,78347.0,82236.0,https://anaconda.org/conda-forge/swifter,2021-04-05 23:39:32.730000,101125.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n339,tslearn,tslearn-team/tslearn,,time-series-data,https://github.com/tslearn-team/tslearn,https://github.com/tslearn-team/tslearn,BSD-2-Clause,2017-05-04 13:08:13.000000,2021-05-26 19:14:34.000000,2021-05-17 21:34:48.000000,235,69.0,171.0,1642,,A machine learning toolkit dedicated to time-series data.,31.0,25,True,2021-05-17 21:36:57.000000,0.5.1.0,93.0,tslearn,conda-forge/tslearn,,,['sklearn'],260.0,238.0,https://pypi.org/project/tslearn,2021-05-17 21:47:34.000000,22.0,68685.0,74166.0,https://anaconda.org/conda-forge/tslearn,2021-05-18 05:23:58.496000,213759.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n340,scattertext,JasonKessler/scattertext,,nlp,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12.000000,2021-05-22 00:32:56.000000,2021-05-22 00:32:56.000000,217,17.0,64.0,1598,348.0,Beautiful visualizations of how language differs among document types.,11.0,25,True,2021-03-08 07:54:17.000000,0.1.2,131.0,scattertext,conda-forge/scattertext,,,,203.0,187.0,https://pypi.org/project/scattertext,2021-03-08 07:54:17.000000,16.0,2432.0,3535.0,https://anaconda.org/conda-forge/scattertext,2021-01-18 15:00:35.497000,50765.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n341,Pandaral·lel,nalepae/pandarallel,,data-containers,https://github.com/nalepae/pandarallel,https://github.com/nalepae/pandarallel,BSD-3-Clause,2019-03-10 11:58:29.000000,2021-05-06 18:57:22.000000,2021-02-04 21:27:26.000000,107,69.0,56.0,1580,114.0,A simple and efficient tool to parallelize Pandas operations on all availableCPUs.,14.0,25,True,2021-02-04 21:35:01.000000,1.5.2,29.0,pandarallel,,,,\"['pandas', 'jupyter']\",232.0,232.0,https://pypi.org/project/pandarallel,2021-02-04 21:35:01.000000,0.0,154525.0,154525.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n342,TextAttack,QData/TextAttack,,adversarial,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000000,2021-06-03 14:43:54.000000,2021-05-30 14:28:28.000000,181,45.0,89.0,1481,2009.0,\"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP..\",36.0,25,True,2021-05-24 02:20:28.000000,0.2.16,36.0,textattack,,,,,26.0,26.0,https://pypi.org/project/textattack,2021-05-24 02:20:28.000000,0.0,3215.0,3215.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n343,tesserocr,sirfz/tesserocr,,ocr,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36.000000,2021-03-27 15:02:05.000000,2021-03-23 20:36:58.000000,201,63.0,148.0,1464,157.0,A Python wrapper for the tesseract-ocr API.,24.0,25,True,2020-03-17 17:45:44.000000,2.5.1,15.0,tesserocr,conda-forge/tesserocr,,,,603.0,503.0,https://pypi.org/project/tesserocr,2020-03-17 17:45:44.000000,100.0,48000.0,50347.0,https://anaconda.org/conda-forge/tesserocr,2021-01-13 16:38:14.456000,46946.0,,,,,2.0,,-2.0,,,,,,,,,,,,,,,,,,,,\n344,chainercv,chainer/chainercv,,image,https://github.com/chainer/chainercv,https://github.com/chainer/chainercv,MIT,2017-02-13 04:15:10.000000,2020-02-03 01:27:17.000000,2020-01-07 11:48:31.000000,318,54.0,168.0,1453,4930.0,ChainerCV: a Library for Deep Learning in Computer Vision.,39.0,25,False,2019-06-12 11:55:02.000000,0.13.1,24.0,chainercv,,,,,303.0,243.0,https://pypi.org/project/chainercv,2019-06-12 11:55:40.000000,60.0,5807.0,5807.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n345,Fairness 360,Trusted-AI/AIF360,,interpretability,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15.000000,2021-05-29 11:58:50.000000,2021-03-10 20:05:40.000000,435,39.0,54.0,1401,318.0,\"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..\",43.0,25,True,2021-03-04 18:11:34.000000,0.4.0,9.0,aif360,,,,,100.0,96.0,https://pypi.org/project/aif360,2021-03-04 18:11:34.000000,4.0,6824.0,6824.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n346,ViZDoom,mwydmuch/ViZDoom,,reinforcement-learning,https://github.com/mwydmuch/ViZDoom,https://github.com/mwydmuch/ViZDoom,MIT,2015-06-26 18:38:23.000000,2021-05-05 21:02:30.000000,2021-05-05 21:02:21.000000,298,88.0,329.0,1212,1468.0,Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information.,44.0,25,True,2020-10-29 15:56:20.000000,1.1.8,19.0,vizdoom,,,,,139.0,115.0,https://pypi.org/project/vizdoom,2020-10-29 15:56:20.000000,24.0,1480.0,1654.0,,,,,,,,2.0,10987.0,,,,,,,,,,,,,,,,,,,,,\n347,PyCUDA,inducer/pycuda,,gpu-utilities,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000000,2021-05-31 18:54:12.000000,2021-05-31 18:54:12.000000,234,55.0,137.0,1158,,\"CUDA integration for Python, plus shiny features.\",72.0,25,True,2019-08-12 04:15:37.000000,2019.1.2,47.0,pycuda,,,,,1160.0,868.0,https://pypi.org/project/pycuda,2021-04-03 22:28:54.000000,292.0,31789.0,31789.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n348,bt,pmorissette/bt,,financial-data,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28.000000,2021-05-15 18:58:08.000000,2021-05-15 18:58:08.000000,279,56.0,210.0,1076,438.0,bt - flexible backtesting for Python.,24.0,25,True,2021-04-21 02:52:26.000000,0.2.9,25.0,bt,,,,,77.0,57.0,https://pypi.org/project/bt,2021-04-21 02:52:26.000000,20.0,10690.0,10690.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n349,ArcGIS API,Esri/arcgis-python-api,,geospatial-data,https://github.com/Esri/arcgis-python-api,https://github.com/Esri/arcgis-python-api,Apache-2.0,2016-03-16 01:09:14.000000,2021-05-31 11:34:03.000000,2021-05-25 04:32:53.000000,736,118.0,228.0,1041,3064.0,Documentation and samples for ArcGIS API for Python.,62.0,25,True,2021-04-12 03:08:40.000000,1.8.5,29.0,arcgis,,esridocker/arcgis-api-python-notebook,,,20.0,,https://pypi.org/project/arcgis,2021-04-12 03:28:09.000000,20.0,46947.0,47015.0,,,,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,2020-03-06 00:53:45.164342,32.0,4302.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n350,fancyimpute,iskandr/fancyimpute,,sklearn-utils,https://github.com/iskandr/fancyimpute,https://github.com/iskandr/fancyimpute,Apache-2.0,2015-11-05 23:39:34.000000,2021-03-30 16:22:41.000000,2021-01-25 00:27:51.000000,150,3.0,104.0,964,198.0,Multivariate imputation and matrix completion algorithms implemented in Python.,11.0,25,True,2021-03-30 16:22:41.000000,0.5.5,26.0,fancyimpute,,,,['sklearn'],1042.0,1000.0,https://pypi.org/project/fancyimpute,2020-07-16 21:36:59.000000,42.0,15945.0,15945.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n351,Streamz,python-streamz/streamz,,time-series-data,https://github.com/python-streamz/streamz,https://github.com/python-streamz/streamz,BSD-3-Clause,2017-04-04 21:45:49.000000,2021-05-19 01:12:26.000000,2021-05-19 01:12:26.000000,119,91.0,134.0,950,745.0,Real-time stream processing for python.,40.0,25,True,2021-01-14 20:47:38.000000,0.6.2,15.0,streamz,conda-forge/streamz,,,,225.0,209.0,https://pypi.org/project/streamz,2021-01-14 20:47:38.000000,16.0,7140.0,10695.0,https://anaconda.org/conda-forge/streamz,2021-01-15 14:38:35.032000,159991.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n352,ffn,pmorissette/ffn,,financial-data,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09.000000,2021-05-15 18:59:42.000000,2021-04-24 00:58:10.000000,195,18.0,73.0,868,351.0,ffn - a financial function library for Python.,26.0,25,True,2021-04-21 02:47:21.000000,0.3.6,27.0,ffn,,,,,168.0,126.0,https://pypi.org/project/ffn,2021-04-21 02:47:21.000000,42.0,15378.0,15378.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n353,kmodes,nicodv/kmodes,,others,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40.000000,2021-03-07 06:05:41.000000,2021-03-07 06:05:39.000000,342,18.0,111.0,862,462.0,\"Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data.\",17.0,25,True,2021-02-13 03:34:23.000000,0.11.0,13.0,kmodes,,,,,610.0,584.0,https://pypi.org/project/kmodes,2021-02-13 03:26:34.000000,26.0,118318.0,118318.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n354,ktrain,amaiya/ktrain,,ml-frameworks,https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39.000000,2021-05-24 01:58:42.000000,2021-05-19 20:32:28.000000,200,9.0,337.0,828,2293.0,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,12.0,25,True,2021-05-19 21:33:40.000000,0.26.3,151.0,ktrain,,,,['tensorflow'],182.0,180.0,https://pypi.org/project/ktrain,2021-05-19 21:32:11.000000,2.0,18988.0,18988.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n355,Singer,singer-io/getting-started,,data-loading,https://github.com/singer-io/getting-started,https://github.com/singer-io/getting-started,AGPL-3.0,2016-10-31 16:53:56.000000,2021-04-29 14:20:20.000000,2021-04-29 14:20:17.000000,105,20.0,18.0,789,188.0,\"Standard for moving data between databases, web APIs, files, queues, and just about anything else you can think of.\",26.0,25,False,2021-02-25 20:41:17.000000,5.11.0,104.0,singer-python,,,,,300.0,,https://pypi.org/project/singer-python,2021-03-22 20:41:58.000000,300.0,77722.0,77722.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n356,pythreejs,jupyter-widgets/pythreejs,,data-viz,https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,BSD-3-Clause,2013-12-23 17:02:11.000000,2021-03-02 13:32:39.505000,2021-02-26 14:01:59.000000,158,62.0,142.0,731,1659.0,A Jupyter - Three.js bridge.,27.0,25,True,2021-02-26 14:01:21.000000,2.3.0,43.0,pythreejs,conda-forge/pythreejs,,,['jupyter'],51.0,17.0,https://pypi.org/project/pythreejs,2021-02-26 14:01:21.000000,26.0,28528.0,41381.0,https://anaconda.org/conda-forge/pythreejs,2021-03-02 13:32:39.505000,303851.0,,,,,3.0,,,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,2021-02-26 13:59:06.062000,8.0,7872.0,,,,,,,,,,,,,,\n357,Hail,hail-is/hail,,medical-data,https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000000,2021-06-03 13:31:08.000000,2021-06-02 20:30:25.000000,195,55.0,1948.0,727,7617.0,Scalable genomic data analysis.,73.0,25,True,2021-05-27 15:53:34.000000,0.2.68,88.0,hail,,,,['spark'],39.0,39.0,https://pypi.org/project/hail,2021-05-27 15:53:39.000000,0.0,10115.0,10115.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n358,mahotas,luispedro/mahotas,,image,https://github.com/luispedro/mahotas,https://github.com/luispedro/mahotas,MIT,2010-01-31 00:13:06.000000,2021-05-31 13:33:21.000000,2021-05-31 13:33:21.000000,132,16.0,58.0,688,1280.0,Computer Vision in Python.,31.0,25,True,2020-08-16 17:22:48.000000,1.4.11,57.0,mahotas,conda-forge/mahotas,,,,829.0,639.0,https://pypi.org/project/mahotas,2020-08-16 17:22:48.000000,190.0,35429.0,39897.0,https://anaconda.org/conda-forge/mahotas,2021-01-22 05:47:20.379000,281498.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n359,pyjanitor,ericmjl/pyjanitor,,others,https://github.com/pyjanitor-devs/pyjanitor,https://github.com/pyjanitor-devs/pyjanitor,MIT,2018-03-04 22:43:33.000000,2021-06-01 11:13:13.000000,2021-05-20 14:06:32.000000,123,100.0,287.0,676,1162.0,Clean APIs for data cleaning. Python implementation of R package Janitor.,88.0,25,True,2021-02-25 17:30:52.000000,0.20.13,49.0,pyjanitor,conda-forge/pyjanitor,,,,103.0,99.0,https://pypi.org/project/pyjanitor,2021-02-25 17:30:52.000000,4.0,10733.0,13049.0,https://anaconda.org/conda-forge/pyjanitor,2021-03-25 12:03:18.871000,90329.0,,,,,2.0,,,,,,,,,,,,,pyjanitor-devs/pyjanitor,,,,,,,,,\n360,pyahocorasick,WojciechMula/pyahocorasick,,nlp,https://github.com/WojciechMula/pyahocorasick,https://github.com/WojciechMula/pyahocorasick,BSD-3-Clause,2013-05-30 19:55:46.000000,2021-03-27 18:19:12.000000,2021-03-27 17:10:43.000000,88,35.0,68.0,613,412.0,Python module (C extension and plain python) implementing Aho-Corasick algorithm.,21.0,25,True,2021-03-27 18:19:12.000000,1.4.2,24.0,pyahocorasick,conda-forge/pyahocorasick,,,,731.0,627.0,https://pypi.org/project/pyahocorasick,2021-03-27 18:19:12.000000,104.0,275270.0,278215.0,https://anaconda.org/conda-forge/pyahocorasick,2020-10-13 12:20:05.350000,123720.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n361,tensorflow-upstream,ROCmSoftwarePlatform/tensorflow-upstream,,ml-frameworks,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,Apache-2.0,2018-04-09 21:24:50.000000,2021-06-03 09:46:17.000000,2021-06-03 00:27:52.000000,66,55.0,243.0,557,79524.0,TensorFlow ROCm port.,3678.0,25,True,2021-05-21 16:17:54.000000,2.4.3,66.0,tensorflow-rocm,,,,['tensorflow'],,,https://pypi.org/project/tensorflow-rocm,2021-05-21 16:17:54.000000,,1381.0,1381.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,,,,\n362,mpi4py,mpi4py/mpi4py,,distributed-ml,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-3-Clause,2013-09-05 14:44:25.000000,2021-06-02 16:28:22.000000,2021-06-02 16:28:21.000000,66,7.0,21.0,417,2265.0,Python bindings for MPI.,17.0,25,True,2020-07-27 06:40:19.000000,3.0.3,13.0,mpi4py,conda-forge/mpi4py,,,,752.0,,https://pypi.org/project/mpi4py,2019-11-04 13:05:10.000000,752.0,222465.0,233992.0,https://anaconda.org/conda-forge/mpi4py,2021-04-29 12:43:41.965000,651564.0,,,,,2.0,1069.0,,,,,,,,,,,,,,,,,,,,,\n363,hvPlot,holoviz/hvplot,,data-viz,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000000,2021-05-27 14:03:29.000000,2021-05-27 14:03:29.000000,57,118.0,248.0,398,405.0,\"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.\",29.0,25,True,2021-05-23 04:35:42.000000,0.7.2,21.0,hvplot,conda-forge/hvplot,,,,638.0,608.0,https://pypi.org/project/hvplot,2021-05-22 18:03:04.000000,30.0,25444.0,28105.0,https://anaconda.org/conda-forge/hvplot,2021-05-23 10:57:42.453000,90495.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n364,PyNNDescent,lmcinnes/pynndescent,,nn-search,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000000,2021-05-20 18:34:31.000000,2021-05-20 18:34:31.000000,50,28.0,36.0,396,490.0,A Python nearest neighbor descent for approximate nearest neighbors.,13.0,25,True,2021-02-08 20:03:04.000000,0.5.2,21.0,pynndescent,conda-forge/pynndescent,,,,512.0,506.0,https://pypi.org/project/pynndescent,2021-02-08 20:03:04.000000,6.0,370543.0,376314.0,https://anaconda.org/conda-forge/pynndescent,2021-02-09 04:30:06.804000,138513.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n365,python-soundfile,bastibe/python-soundfile,,audio,https://github.com/bastibe/python-soundfile,https://github.com/bastibe/python-soundfile,BSD-3-Clause,2013-08-27 13:36:52.000000,2021-01-13 07:52:51.000000,2020-12-01 18:42:47.000000,46,57.0,92.0,383,493.0,\"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.\",19.0,25,True,2019-12-04 10:03:39.000000,0.10.3post1,7.0,soundfile,,,,,7966.0,7226.0,https://pypi.org/project/soundfile,2019-11-27 12:16:19.000000,740.0,651820.0,651847.0,,,,,,,,2.0,2394.0,,,,,,,,,,,,,,,,,,,,,\n366,TensorFlow Cloud,tensorflow/cloud,,tensorflow-utils,https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59.000000,2021-05-27 20:33:58.000000,2021-05-27 20:33:49.000000,52,46.0,26.0,280,544.0,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,22.0,25,True,2021-05-19 01:55:11.000000,0.1.15,18.0,tensorflow-cloud,,,,['tensorflow'],64.0,64.0,https://pypi.org/project/tensorflow-cloud,2021-05-19 01:55:11.000000,0.0,210366.0,210366.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n367,DeepSpeech,mozilla/DeepSpeech,,audio,https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53.000000,2021-03-31 15:32:56.000000,,3125,103.0,,16963,,\"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..\",93.0,24,True,2020-12-10 17:22:09.000000,0.9.3,100.0,deepspeech,,,,['tensorflow'],58.0,,https://pypi.org/project/deepspeech,2020-12-19 10:05:12.000000,58.0,10547.0,10547.0,,,,,,,,3.0,,-7.0,,,,,,,,,,,,,,,,,,,,\n368,Ciphey,Ciphey/Ciphey,,nlp,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39.000000,2021-05-28 09:08:10.000000,2021-05-28 09:08:09.000000,394,59.0,196.0,6960,1786.0,\"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.\",44.0,24,True,2021-05-23 10:21:18.000000,5.13.0,49.0,ciphey,,remnux/ciphey,,,,,https://pypi.org/project/ciphey,2021-05-23 10:20:17.000000,,7733.0,8159.0,,,,https://hub.docker.com/r/remnux/ciphey,2021-05-24 19:37:52.364520,3.0,9807.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n369,NuPIC,numenta/nupic,,ml-frameworks,https://github.com/numenta/nupic,https://github.com/numenta/nupic,AGPL-3.0,2013-04-05 23:14:27.000000,2021-03-25 21:39:47.000000,2019-10-23 20:45:07.000000,1585,456.0,1337.0,6247,6625.0,\"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..\",121.0,24,False,2018-06-01 15:37:54.000000,1.0.5,53.0,nupic,,,,,139.0,101.0,https://pypi.org/project/nupic,2018-06-01 15:37:54.000000,38.0,3177.0,3177.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n370,Face Alignment,1adrianb/face-alignment,,image,https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44.000000,2021-05-05 16:30:37.000000,2021-05-05 16:30:24.000000,1054,40.0,204.0,4956,204.0,2D and 3D Face alignment library build using pytorch.,23.0,24,True,2021-04-28 22:17:22.000000,1.3.4,10.0,face-alignment,,,,['pytorch'],12.0,,https://pypi.org/project/face-alignment,2021-04-28 22:17:22.000000,12.0,6870.0,6870.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n371,flashtext,vi3k6i5/flashtext,,nlp,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01.000000,2021-04-29 02:55:52.000000,2020-05-03 07:13:22.000000,548,54.0,49.0,4777,108.0,Extract Keywords from sentence or Replace keywords in sentences.,8.0,24,False,,,18.0,flashtext,,,,,501.0,469.0,https://pypi.org/project/flashtext,2018-02-16 05:24:17.000000,32.0,338818.0,338818.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n372,Lasagne,Lasagne/Lasagne,,ml-frameworks,https://github.com/Lasagne/Lasagne,https://github.com/Lasagne/Lasagne,MIT,2014-09-11 15:31:41.000000,2019-11-20 20:28:31.000000,2019-11-20 20:28:30.000000,983,139.0,402.0,3777,1161.0,Lightweight library to build and train neural networks in Theano.,72.0,24,False,2015-08-13 21:00:09.000000,0.1,1.0,lasagne,,,,,1327.0,821.0,https://pypi.org/project/lasagne,2015-08-13 21:10:53.000000,506.0,2549.0,2549.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n373,torchdiffeq,rtqichen/torchdiffeq,,pytorch-utils,https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25.000000,2021-06-02 23:05:29.000000,2021-06-02 23:04:37.000000,612,27.0,116.0,3539,218.0,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,19.0,24,True,2021-06-02 23:04:51.000000,0.2.2,6.0,torchdiffeq,,,,['pytorch'],98.0,98.0,https://pypi.org/project/torchdiffeq,2021-06-02 23:04:51.000000,0.0,4627.0,4627.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n374,ArrayFire,arrayfire/arrayfire,,gpu-utilities,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000000,2021-06-01 20:53:34.000000,2021-05-21 02:00:15.000000,475,239.0,1238.0,3510,5726.0,ArrayFire: a general purpose GPU library.,82.0,24,True,2021-01-08 21:41:09.000000,3.8.0,30.0,arrayfire,,,,,8.0,,https://pypi.org/project/arrayfire,2021-03-05 17:36:30.000000,8.0,1430.0,1447.0,,,,,,,,2.0,1253.0,,,,,,,,,,,,,,,,,,,,,\n375,Snips NLU,snipsco/snips-nlu,,nlp,https://github.com/snipsco/snips-nlu,https://github.com/snipsco/snips-nlu,Apache-2.0,2017-02-08 16:16:36.000000,2021-05-03 12:18:32.000000,2021-05-03 12:18:31.000000,469,51.0,196.0,3501,2154.0,Snips Python library to extract meaning from text.,22.0,24,True,2020-01-15 10:13:17.000000,0.20.2,58.0,snips-nlu,,,,,16.0,,https://pypi.org/project/snips-nlu,2020-01-15 10:13:17.000000,16.0,4368.0,4368.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n376,einops,arogozhnikov/einops,,ml-frameworks,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08.000000,2021-06-03 06:57:42.000000,2021-06-03 06:57:42.000000,115,23.0,46.0,3148,310.0,\"Deep learning operations reinvented (for pytorch, tensorflow, jax and others).\",12.0,24,True,2020-09-08 08:33:29.000000,0.3,3.0,einops,conda-forge/einops,,,,601.0,591.0,https://pypi.org/project/einops,2020-09-08 08:21:26.000000,10.0,104623.0,104866.0,https://anaconda.org/conda-forge/einops,2020-10-15 20:10:19.681000,5105.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n377,DoWhy,Microsoft/dowhy,,interpretability,https://github.com/microsoft/dowhy,https://github.com/microsoft/dowhy,MIT,2018-05-31 13:07:04.000000,2021-05-31 08:57:08.000000,2021-05-31 08:57:08.000000,442,26.0,94.0,2956,451.0,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,43.0,24,True,2021-03-03 03:44:46.000000,0.6,6.0,dowhy,conda-forge/dowhy,,,,41.0,41.0,https://pypi.org/project/dowhy,2021-03-03 03:45:16.000000,0.0,27502.0,27670.0,https://anaconda.org/conda-forge/dowhy,2021-04-28 19:20:04.698000,2177.0,,,,,2.0,23.0,,,,,,,,,,,,,,,,,,,,,\n378,xLearn,aksnzhy/xlearn,,ml-frameworks,https://github.com/aksnzhy/xlearn,https://github.com/aksnzhy/xlearn,Apache-2.0,2017-06-10 08:09:31.000000,2021-01-28 14:17:44.000000,2020-03-03 10:12:35.000000,515,190.0,107.0,2886,1340.0,\"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..\",30.0,24,False,2019-04-25 02:10:05.000000,0.4.4,15.0,xlearn,,,,,64.0,62.0,https://pypi.org/project/xlearn,2018-12-04 11:05:06.000000,2.0,4914.0,4979.0,,,,,,,,3.0,2568.0,,,,,,,,,,,,,,,,,,,,,\n379,keras-vis,raghakot/keras-vis,,interpretability,https://github.com/raghakot/keras-vis,https://github.com/raghakot/keras-vis,MIT,2016-11-11 23:27:34.000000,2020-04-20 01:03:13.000000,2020-04-20 01:03:12.000000,595,114.0,99.0,2826,195.0,Neural network visualization toolkit for keras.,10.0,24,False,2017-07-06 04:55:04.000000,0.4.1,11.0,keras-vis,,,,['tensorflow'],1100.0,1044.0,https://pypi.org/project/keras-vis,2017-07-06 04:55:04.000000,56.0,3397.0,3397.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n380,Gradio,gradio-app/gradio,,others,https://github.com/gradio-app/gradio,https://github.com/gradio-app/gradio,Apache-2.0,2018-12-19 08:24:04.000000,2021-06-02 18:20:55.000000,2021-06-02 18:20:44.000000,175,17.0,111.0,2693,1066.0,\"Wrap UIs around any model, share with anyone.\",19.0,24,True,2021-06-01 20:25:06.000000,2.0.2,100.0,gradio,,,,,152.0,150.0,https://pypi.org/project/gradio,2021-06-01 20:25:06.000000,2.0,6615.0,6615.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n381,D-Tale,man-group/dtale,,data-viz,https://github.com/man-group/dtale,https://github.com/man-group/dtale,LGPL-2.1,2019-07-15 09:34:48.000000,2021-06-03 03:49:23.000000,2021-06-01 00:59:40.000000,187,37.0,321.0,2418,426.0,Visualizer for pandas data structures.,15.0,24,True,2021-05-29 00:12:35.000000,1.48.0,121.0,dtale,conda-forge/dtale,,,\"['pandas', 'jupyter']\",165.0,165.0,https://pypi.org/project/dtale,2021-05-29 00:10:04.000000,0.0,12184.0,15877.0,https://anaconda.org/conda-forge/dtale,2021-05-29 00:28:51.336000,59103.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n382,Core ML Tools,apple/coremltools,,model-serialisation,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000000,2021-05-20 17:58:42.000000,2021-05-20 17:14:24.000000,365,363.0,354.0,2227,,\"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.\",113.0,24,True,2021-02-05 02:07:15.000000,4.1,28.0,coremltools,,,,,805.0,539.0,https://pypi.org/project/coremltools,2021-02-05 01:28:44.000000,266.0,49940.0,49997.0,,,,,,,,2.0,2603.0,,,,,,,,,,,,,,,,,,,,,\n383,Acme,deepmind/acme,,reinforcement-learning,https://github.com/deepmind/acme,https://github.com/deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000000,2021-05-31 08:00:47.000000,2021-05-31 08:00:13.000000,226,49.0,58.0,2097,452.0,A library of reinforcement learning components and agents.,39.0,24,True,2021-05-26 17:12:29.000000,0.2.1,10.0,dm-acme,,,,['tensorflow'],29.0,29.0,https://pypi.org/project/dm-acme,2021-05-26 17:12:54.000000,0.0,1496.0,1496.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n384,SRU,asappresearch/sru,,pytorch-utils,https://github.com/asappresearch/sru,https://github.com/asappresearch/sru,MIT,2017-08-28 20:37:41.000000,2021-05-19 16:48:02.000000,2021-05-19 15:52:48.000000,290,52.0,65.0,1947,400.0,Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755).,21.0,24,True,2021-05-18 16:13:10.000000,2.6.0,29.0,sru,,,,['pytorch'],18.0,16.0,https://pypi.org/project/sru,2021-05-18 16:13:10.000000,2.0,4094.0,4094.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n385,Alphalens,quantopian/alphalens,,financial-data,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15.000000,2020-09-05 16:48:14.000000,2020-04-27 18:40:41.000000,720,38.0,145.0,1929,522.0,Performance analysis of predictive (alpha) stock factors.,25.0,24,False,2020-04-30 15:42:52.000000,0.4.0,10.0,alphalens,conda-forge/alphalens,,,,425.0,397.0,https://pypi.org/project/alphalens,2020-04-27 21:03:10.000000,28.0,3088.0,3378.0,https://anaconda.org/conda-forge/alphalens,2020-05-16 13:52:44.922000,11620.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n386,pytorch-nlp,PetrochukM/PyTorch-NLP,,nlp,https://github.com/PetrochukM/PyTorch-NLP,https://github.com/PetrochukM/PyTorch-NLP,BSD-3-Clause,2018-02-25 05:00:36.000000,2021-04-08 15:39:47.000000,2021-01-26 22:23:57.000000,229,14.0,49.0,1923,445.0,Basic Utilities for PyTorch Natural Language Processing (NLP).,17.0,24,True,2019-11-04 05:16:00.000000,0.5.0,19.0,pytorch-nlp,,,,['pytorch'],241.0,223.0,https://pypi.org/project/pytorch-nlp,2019-11-04 04:35:18.000000,18.0,6330.0,6330.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n387,python_speech_features,jameslyons/python_speech_features,,audio,https://github.com/jameslyons/python_speech_features,https://github.com/jameslyons/python_speech_features,MIT,2013-10-31 02:42:08.000000,2020-12-31 13:27:02.000000,2020-12-31 13:27:01.000000,552,23.0,49.0,1912,120.0,This library provides common speech features for ASR including MFCCs and filterbank energies.,18.0,24,True,2020-01-14 14:12:10.000000,0.6.1,6.0,python_speech_features,,,,,300.0,,https://pypi.org/project/python_speech_features,2017-08-16 01:46:13.000000,300.0,124907.0,124907.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n388,DDSP,magenta/ddsp,,audio,https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27.000000,2021-06-02 22:31:38.000000,2021-06-02 20:50:38.000000,188,18.0,97.0,1861,374.0,DDSP: Differentiable Digital Signal Processing.,26.0,24,True,2021-04-19 04:30:53.000000,1.3.0,32.0,ddsp,,,,['tensorflow'],11.0,11.0,https://pypi.org/project/ddsp,2021-06-02 20:59:06.000000,,1593.0,1593.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n389,Essentia,MTG/essentia,,audio,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000000,2021-06-03 12:41:36.000000,2021-06-03 12:41:36.000000,413,307.0,579.0,1834,2832.0,\"C++ library for audio and music analysis, description and synthesis, including Python bindings.\",71.0,24,False,2015-03-31 16:33:30.000000,2.0,9.0,essentia,,,,,201.0,191.0,https://pypi.org/project/essentia,2021-01-13 00:12:18.000000,10.0,3824.0,3824.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n390,Spektral,danielegrattarola/spektral,,graph,https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10.000000,2021-06-01 14:56:51.000000,2021-03-24 08:34:28.000000,225,27.0,128.0,1761,945.0,Graph Neural Networks with Keras and Tensorflow 2.,16.0,24,True,2021-03-20 11:39:58.000000,1.0.6,29.0,spektral,,,,\"['tensorflow\"\"']\",55.0,55.0,https://pypi.org/project/spektral,2021-03-20 11:39:58.000000,0.0,3422.0,3422.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n391,HyperTools,ContextLab/hypertools,,data-viz,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25.000000,2021-01-06 14:11:39.000000,2021-01-06 14:11:38.000000,152,66.0,122.0,1631,1591.0,A Python toolbox for gaining geometric insights into high-dimensional data.,21.0,24,True,2020-10-02 21:41:53.000000,0.6.3,19.0,hypertools,,,,,129.0,120.0,https://pypi.org/project/hypertools,2020-10-02 21:41:53.000000,9.0,1754.0,1754.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n392,dtreeviz,parrt/dtreeviz,,interpretability,https://github.com/parrt/dtreeviz,https://github.com/parrt/dtreeviz,MIT,2018-08-13 21:45:15.000000,2021-05-28 11:22:03.000000,2021-05-27 19:09:47.000000,208,20.0,80.0,1545,364.0,A python library for decision tree visualization and model interpretation.,16.0,24,True,2021-03-16 21:49:18.000000,1.2,23.0,dtreeviz,,,,,164.0,160.0,https://pypi.org/project/dtreeviz,2021-04-05 19:35:08.000000,4.0,36305.0,36305.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n393,mtcnn,ipazc/mtcnn,,image,https://github.com/ipazc/mtcnn,https://github.com/ipazc/mtcnn,MIT,2018-01-05 04:08:32.000000,2021-02-03 15:49:06.000000,2021-01-13 23:50:58.000000,393,56.0,36.0,1530,55.0,\"MTCNN face detection implementation for TensorFlow, as a PIP package.\",14.0,24,True,2019-11-14 17:37:05.000000,0.1.0,10.0,mtcnn,,,,['tensorflow'],1209.0,1167.0,https://pypi.org/project/mtcnn,2019-11-14 17:37:05.000000,42.0,23679.0,23679.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n394,bonobo,python-bonobo/bonobo,,data-pipelines,https://github.com/python-bonobo/bonobo,https://github.com/python-bonobo/bonobo,Apache-2.0,2016-12-09 04:03:23.000000,2021-06-01 22:24:45.000000,2021-03-10 15:44:00.000000,117,67.0,108.0,1436,978.0,Extract Transform Load for Python 3.5+.,37.0,24,True,2019-05-16 13:19:48.000000,0.6.4,38.0,bonobo,,,http://docs.bonobo-project.org/en/master/,,167.0,115.0,https://pypi.org/project/bonobo,2019-07-20 13:33:19.000000,52.0,8268.0,8268.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n395,IB-insync,erdewit/ib_insync,,financial-data,https://github.com/erdewit/ib_insync,https://github.com/erdewit/ib_insync,BSD-2-Clause,2017-07-12 12:09:24.000000,2021-05-31 09:40:24.000000,2021-05-31 09:40:19.000000,431,8.0,315.0,1427,585.0,Python sync/async framework for Interactive Brokers API.,28.0,24,True,2021-04-26 18:22:55.000000,0.9.66,91.0,ib_insync,conda-forge/ib-insync,,,,12.0,,https://pypi.org/project/ib_insync,2021-04-26 18:22:55.000000,12.0,5875.0,6303.0,https://anaconda.org/conda-forge/ib-insync,2021-02-25 02:28:19.625000,9866.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n396,TNT,pytorch/tnt,,ml-experiments,https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58.000000,2021-01-22 09:14:29.000000,2021-01-05 19:36:17.000000,190,30.0,35.0,1321,156.0,\"Simple tools for logging and visualizing, loading and training.\",35.0,24,True,2019-11-15 12:57:59.000000,0.0.5.1,3.0,torchnet,,,,['pytorch'],632.0,582.0,https://pypi.org/project/torchnet,2018-07-29 23:16:03.000000,50.0,15174.0,15174.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n397,fklearn,nubank/fklearn,,ml-frameworks,https://github.com/nubank/fklearn,https://github.com/nubank/fklearn,Apache-2.0,2019-02-27 14:32:57.000000,2021-04-28 13:19:12.000000,2021-04-28 13:19:08.000000,149,19.0,20.0,1317,118.0,fklearn: Functional Machine Learning.,37.0,24,True,2021-02-09 17:12:04.000000,1.22.0,20.0,fklearn,,,,,10.0,10.0,https://pypi.org/project/fklearn,2021-02-09 17:12:04.000000,,9203.0,9203.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n398,modAL,modAL-python/modAL,,others,https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000000,2021-05-31 12:57:45.000000,2021-01-07 09:40:40.000000,195,55.0,51.0,1254,648.0,A modular active learning framework for Python.,14.0,24,True,2021-01-07 09:47:49.000000,0.4.1,12.0,modAL,,,,['sklearn'],85.0,77.0,https://pypi.org/project/modAL,2021-01-07 09:47:49.000000,8.0,2686.0,2686.0,,,,,,,,2.0,14.0,,,,,,,,,,,,,,,,,,,,,\n399,sense2vec,explosion/sense2vec,,nlp,https://github.com/explosion/sense2vec,https://github.com/explosion/sense2vec,MIT,2016-01-23 22:15:49.000000,2021-04-19 07:05:28.000000,2021-04-18 01:50:23.000000,209,16.0,83.0,1235,452.0,Contextually-keyed word vectors.,15.0,24,True,2021-04-19 07:05:28.000000,3.0.0,22.0,sense2vec,conda-forge/sense2vec,,,,80.0,68.0,https://pypi.org/project/sense2vec,2021-04-19 07:05:28.000000,12.0,4569.0,5904.0,https://anaconda.org/conda-forge/sense2vec,2020-03-16 22:19:07.337000,19053.0,,,,,3.0,16268.0,,,,,,,,,,,,,,,,,,,,,\n400,garage,rlworkgroup/garage,,reinforcement-learning,https://github.com/rlworkgroup/garage,https://github.com/rlworkgroup/garage,MIT,2018-06-10 21:31:23.000000,2021-05-26 01:40:27.000000,2021-05-26 01:40:25.000000,223,205.0,787.0,1174,1212.0,A toolkit for reproducible reinforcement learning research.,75.0,24,True,2021-03-23 22:18:36.000000,2021.3.0,21.0,garage,,,,['tensorflow'],19.0,19.0,https://pypi.org/project/garage,2021-03-23 22:18:36.000000,0.0,336.0,336.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n401,pycm,sepandhaghighi/pycm,,others,https://github.com/sepandhaghighi/pycm,https://github.com/sepandhaghighi/pycm,MIT,2018-01-22 19:46:54.000000,2021-05-30 19:40:15.000000,2021-03-11 15:42:19.000000,94,12.0,155.0,1098,2619.0,Multi-class confusion matrix library in Python.,14.0,24,True,2021-03-11 15:51:49.000000,3.1,35.0,pycm,,,,,115.0,105.0,https://pypi.org/project/pycm,2021-03-11 15:52:23.000000,10.0,11617.0,11617.0,,,,,,,,2.0,,2.0,,,,,,,,,,,,,,,,,,,,\n402,livelossplot,stared/livelossplot,,ml-experiments,https://github.com/stared/livelossplot,https://github.com/stared/livelossplot,MIT,2018-03-10 17:51:43.000000,2021-06-03 10:49:47.000000,2021-02-07 23:24:31.000000,138,3.0,70.0,1080,323.0,\"Live training loss plot in Jupyter Notebook for Keras, PyTorch and others.\",16.0,24,True,2021-02-03 16:25:47.000000,0.5.4,24.0,livelossplot,,,,['jupyter'],544.0,534.0,https://pypi.org/project/livelossplot,2021-02-03 16:25:47.000000,10.0,37028.0,37028.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n403,spacy-transformers,explosion/spacy-transformers,,nlp,https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000000,2021-05-17 08:02:39.000000,2021-05-14 14:10:04.000000,113,48.0,,959,1329.0,\"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.\",15.0,24,True,2021-04-21 07:12:29.000000,1.0.2,44.0,spacy-transformers,,,,['spacy'],177.0,171.0,https://pypi.org/project/spacy-transformers,2021-02-02 09:54:58.000000,6.0,39315.0,39315.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n404,PennyLane,PennyLaneAI/PennyLane,,others,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000000,2021-06-03 14:52:36.000000,2021-06-03 14:25:30.000000,270,102.0,305.0,885,1958.0,PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum..,59.0,24,True,2021-05-03 08:34:16.000000,0.15.1,22.0,pennylane,,,,,20.0,,https://pypi.org/project/pennylane,2021-05-03 08:31:01.000000,20.0,6244.0,6245.0,,,,,,,,2.0,56.0,,,,,,,,,,,,,,,,,,,,,\n405,PySAL,pysal/pysal,,geospatial-data,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42.000000,2021-02-08 21:30:44.240000,2021-02-01 00:35:48.000000,241,58.0,585.0,850,4119.0,PySAL: Python Spatial Analysis Library Meta-Package.,71.0,24,True,2021-02-02 02:59:42.000000,2.4.0,25.0,pysal,conda-forge/pysal,,,,36.0,,https://pypi.org/project/pysal,2021-02-02 02:59:42.000000,36.0,13231.0,20228.0,https://anaconda.org/conda-forge/pysal,2021-02-08 21:30:44.240000,412852.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n406,openTSNE,pavlin-policar/openTSNE,,data-viz,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000000,2021-06-02 15:27:38.000000,2021-06-02 15:27:13.000000,88,6.0,86.0,840,553.0,\"Extensible, parallel implementations of t-SNE.\",10.0,24,True,2021-04-25 19:32:11.000000,0.6.0,21.0,opentsne,conda-forge/opentsne,,,,224.0,220.0,https://pypi.org/project/opentsne,2021-04-25 19:24:59.000000,4.0,25779.0,29113.0,https://anaconda.org/conda-forge/opentsne,2021-05-28 14:28:32.305000,100025.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n407,pyclustering,annoviko/pyclustering,,others,https://github.com/annoviko/pyclustering,https://github.com/annoviko/pyclustering,BSD-3-Clause,2014-02-25 18:59:03.000000,2021-02-12 23:22:26.000000,2021-02-12 19:04:59.000000,196,52.0,584.0,838,2079.0,\"pyclustring is a Python, C++ data mining library.\",26.0,24,True,2020-11-25 22:33:07.000000,0.10.1.2,46.0,pyclustering,conda-forge/pyclustering,,,,237.0,201.0,https://pypi.org/project/pyclustering,2020-11-25 22:41:20.000000,36.0,49857.0,51087.0,https://anaconda.org/conda-forge/pyclustering,2021-01-25 21:14:55.053000,22059.0,,,,,2.0,333.0,,,,,,,,,,,,,,,,,,,,,\n408,pyopencl,inducer/pyopencl,,others,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,MIT,2011-04-06 02:51:33.000000,2021-06-02 00:24:24.000000,2021-06-02 00:24:23.000000,212,59.0,218.0,809,,\"OpenCL integration for Python, plus shiny features.\",86.0,24,True,2021-05-17 23:13:34.000000,2021.2.1,64.0,pyopencl,conda-forge/pyopencl,,,,756.0,518.0,https://pypi.org/project/pyopencl,2021-05-21 21:17:45.000000,238.0,14633.0,22163.0,https://anaconda.org/conda-forge/pyopencl,2021-05-22 23:27:14.435000,421715.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n409,empyrical,quantopian/empyrical,,financial-data,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52.000000,2020-10-14 13:28:13.625000,2020-10-14 13:22:39.000000,254,27.0,26.0,788,167.0,Common financial risk and performance metrics. Used by zipline and pyfolio.,22.0,24,True,2020-10-13 21:29:19.000000,0.5.5,21.0,empyrical,conda-forge/empyrical,,,,854.0,632.0,https://pypi.org/project/empyrical,2020-10-13 21:29:19.000000,222.0,44595.0,44882.0,https://anaconda.org/conda-forge/empyrical,2020-10-14 13:28:13.625000,11482.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n410,PySwarms,ljvmiranda921/pyswarms,,others,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45.000000,2021-04-02 00:26:48.000000,2021-04-02 00:26:45.000000,241,25.0,156.0,783,408.0,A research toolkit for particle swarm optimization in Python.,43.0,24,True,2021-01-03 21:34:15.000000,1.3.0,20.0,pyswarms,,,,,113.0,113.0,https://pypi.org/project/pyswarms,2021-01-03 21:34:15.000000,0.0,5805.0,5805.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n411,GPyOpt,SheffieldML/GPyOpt,,hyperopt,https://github.com/SheffieldML/GPyOpt,https://github.com/SheffieldML/GPyOpt,BSD-3-Clause,2014-08-13 09:58:25.000000,2020-11-17 10:32:02.000000,2020-11-05 15:16:04.000000,223,100.0,186.0,734,514.0,Gaussian Process Optimization using GPy.,49.0,24,True,2020-03-19 21:21:18.000000,1.2.6,11.0,gpyopt,,,,,232.0,196.0,https://pypi.org/project/gpyopt,2020-03-19 11:37:45.000000,36.0,10812.0,10812.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n412,dask-ml,dask/dask-ml,,distributed-ml,https://github.com/dask/dask-ml,https://github.com/dask/dask-ml,BSD-3-Clause,2017-06-15 15:56:06.000000,2021-06-01 22:14:49.000000,2021-05-23 16:30:58.000000,197,200.0,222.0,721,,Scalable Machine Learning with Dask.,65.0,24,True,2021-05-03 13:02:34.000000,1.9.0,28.0,dask-ml,conda-forge/dask-ml,,,,446.0,404.0,https://pypi.org/project/dask-ml,2021-05-03 13:02:34.000000,42.0,52380.0,57250.0,https://anaconda.org/conda-forge/dask-ml,2021-05-03 15:21:05.642000,214321.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n413,PDPbox,SauceCat/PDPbox,,data-viz,https://github.com/SauceCat/PDPbox,https://github.com/SauceCat/PDPbox,MIT,2017-06-26 08:01:54.000000,2021-03-14 19:37:51.465000,2021-03-14 16:01:01.000000,88,19.0,38.0,572,227.0,python partial dependence plot toolbox.,7.0,24,True,2021-03-14 16:21:17.000000,0.2.1,3.0,pdpbox,conda-forge/pdpbox,,,,425.0,391.0,https://pypi.org/project/pdpbox,2021-03-14 16:21:17.000000,34.0,67892.0,68220.0,https://anaconda.org/conda-forge/pdpbox,2021-03-14 19:37:51.465000,7555.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n414,SALib,SALib/SALib,,probabilistics,https://github.com/SALib/SALib,https://github.com/SALib/SALib,MIT,2013-05-30 13:38:10.000000,2021-05-31 20:44:22.000000,2021-05-27 11:10:23.000000,148,39.0,191.0,472,961.0,\"Sensitivity Analysis Library in Python (Numpy). Contains Sobol, Morris, Fractional Factorial and FAST methods.\",26.0,24,True,2021-04-21 13:22:20.000000,1.3.13,31.0,salib,conda-forge/salib,,,,44.0,,https://pypi.org/project/salib,2021-04-21 13:31:22.000000,44.0,20702.0,21867.0,https://anaconda.org/conda-forge/salib,2020-10-24 17:04:41.614000,64117.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n415,TensorFlow I/O,tensorflow/io,,tensorflow-utils,https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05.000000,2021-06-03 10:50:25.000000,2021-06-02 13:27:28.000000,164,135.0,287.0,463,1452.0,\"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.\",73.0,24,True,2021-05-14 06:06:47.000000,0.18.0,23.0,tensorflow-io,,,,['tensorflow'],0.0,,https://pypi.org/project/tensorflow-io,2021-05-14 05:59:55.000000,0.0,152245.0,152245.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n416,findspark,minrk/findspark,,others,https://github.com/minrk/findspark,https://github.com/minrk/findspark,BSD-3-Clause,2015-06-12 21:34:06.000000,2020-06-08 09:32:35.000000,2020-06-08 09:31:58.000000,69,11.0,8.0,400,67.0,Find pyspark to make it importable.,14.0,24,True,2020-06-08 09:32:23.000000,1.4.2,12.0,findspark,conda-forge/findspark,,,['spark'],1945.0,1743.0,https://pypi.org/project/findspark,2020-06-08 09:32:23.000000,202.0,1304837.0,1314001.0,https://anaconda.org/conda-forge/findspark,2018-07-06 12:57:33.438000,549899.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n417,sklearn-crfsuite,TeamHG-Memex/sklearn-crfsuite,,sklearn-utils,https://github.com/TeamHG-Memex/sklearn-crfsuite,https://github.com/TeamHG-Memex/sklearn-crfsuite,MIT,2015-11-26 21:15:41.000000,2020-12-30 08:00:27.000000,2019-12-05 08:17:22.000000,155,33.0,22.0,371,46.0,scikit-learn inspired API for CRFsuite.,6.0,24,False,2017-06-22 18:49:27.000000,0.3.6,9.0,sklearn-crfsuite,,,,['sklearn'],3184.0,2788.0,https://pypi.org/project/sklearn-crfsuite,2017-06-22 18:49:27.000000,396.0,103830.0,103830.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n418,Cornac,PreferredAI/cornac,,recommender-systems,https://github.com/PreferredAI/cornac,https://github.com/PreferredAI/cornac,Apache-2.0,2018-07-17 06:31:35.000000,2021-06-01 10:07:28.000000,2021-05-23 02:19:58.000000,67,3.0,44.0,351,1177.0,A Comparative Framework for Multimodal Recommender Systems.,12.0,24,True,2021-03-30 03:20:12.000000,1.12.0,37.0,cornac,conda-forge/cornac,,,,49.0,47.0,https://pypi.org/project/cornac,2021-03-30 03:23:59.000000,2.0,2566.0,8332.0,https://anaconda.org/conda-forge/cornac,2021-03-30 16:45:43.648000,144155.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n419,ml-metadata,google/ml-metadata,,ml-experiments,https://github.com/google/ml-metadata,https://github.com/google/ml-metadata,Apache-2.0,2019-01-15 21:02:09.000000,2021-05-28 14:57:50.000000,2021-05-27 21:44:47.000000,69,19.0,45.0,331,513.0,For recording and retrieving metadata associated with ML developer and data scientist workflows.,13.0,24,True,2021-05-21 02:42:33.000000,1.0.0,27.0,ml-metadata,,,,,121.0,121.0,https://pypi.org/project/ml-metadata,2021-05-21 02:42:33.000000,0.0,311777.0,311824.0,,,,,,,,3.0,1270.0,,,,,,,,,,,,,,,,,,,,,\n420,datalad,datalad/datalad,,others,https://github.com/datalad/datalad,https://github.com/datalad/datalad,MIT,2013-11-01 19:40:08.000000,2021-06-03 13:52:45.000000,2021-06-03 13:52:37.000000,73,706.0,2349.0,247,13945.0,\"Keep code, data, containers under control with git and git-annex.\",38.0,24,True,2021-05-10 13:39:30.000000,0.14.4,68.0,datalad,conda-forge/datalad,,,,26.0,,https://pypi.org/project/datalad,2021-05-10 13:36:40.000000,26.0,4067.0,7335.0,https://anaconda.org/conda-forge/datalad,2021-05-11 19:33:29.602000,127469.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n421,tabulator-py,frictionlessdata/tabulator-py,,data-loading,https://github.com/frictionlessdata/tabulator-py,https://github.com/frictionlessdata/tabulator-py,MIT,2015-08-24 05:34:38.000000,2021-06-01 12:40:01.000000,2021-03-22 13:33:48.000000,42,1.0,177.0,208,,Python library for reading and writing tabular data via streams.,27.0,24,True,2021-03-21 07:47:00.000000,1.53.5,141.0,tabulator,conda-forge/tabulator-py,,,,658.0,554.0,https://pypi.org/project/tabulator,2021-03-21 07:47:00.000000,104.0,222503.0,223375.0,https://anaconda.org/conda-forge/tabulator-py,2018-07-24 12:57:07.018000,41899.0,,,,,3.0,,-2.0,,,,,,,,,,,,,,,,,,,,\n422,Orion,Epistimio/orion,,hyperopt,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21.000000,2021-05-19 20:08:31.000000,2021-05-19 18:52:38.000000,41,44.0,118.0,191,2859.0,Asynchronous Distributed Hyperparameter Optimization.,23.0,24,True,2021-05-19 20:08:31.000000,0.1.15,16.0,orion,,,,,48.0,40.0,https://pypi.org/project/orion,2021-05-19 20:08:31.000000,8.0,2585.0,2585.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n423,cortex,cortexlabs/cortex,,model-serialisation,https://github.com/cortexlabs/cortex,https://github.com/cortexlabs/cortex,Apache-2.0,2019-01-24 04:43:14.000000,2021-06-03 12:40:16.000000,2021-06-02 19:02:53.000000,571,131.0,887.0,7502,2115.0,Serverless containers on AWS.,21.0,23,True,2021-05-11 21:36:23.000000,0.35.0,54.0,cortex,,,,,0.0,,https://pypi.org/project/cortex,2021-05-11 21:29:43.000000,0.0,1384.0,1384.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n424,snownlp,isnowfy/snownlp,,chinese-nlp,https://github.com/isnowfy/snownlp,https://github.com/isnowfy/snownlp,MIT,2013-11-26 11:46:56.000000,2020-01-19 02:39:05.000000,2020-01-19 02:39:03.000000,1276,36.0,65.0,5434,57.0,Python library for processing Chinese text.,8.0,23,False,2015-09-27 16:35:23.000000,0.12.3,17.0,snownlp,,,,,675.0,599.0,https://pypi.org/project/snownlp,2015-09-27 16:35:23.000000,76.0,6767.0,6767.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n425,Apex,NVIDIA/apex,,gpu-utilities,https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000000,2021-05-26 05:46:53.000000,2021-05-26 05:46:53.000000,727,467.0,373.0,5392,843.0,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,82.0,23,True,,,1.0,,conda-forge/nvidia-apex,,,['pytorch'],573.0,573.0,,,,,2397.0,https://anaconda.org/conda-forge/nvidia-apex,2021-04-22 16:13:47.237000,47944.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n426,mmdnn,Microsoft/MMdnn,,model-serialisation,https://github.com/microsoft/MMdnn,https://github.com/microsoft/MMdnn,MIT,2017-08-16 08:03:52.000000,2021-03-01 14:17:24.000000,2020-08-14 02:32:30.000000,944,311.0,287.0,5348,1083.0,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,85.0,23,True,2020-07-24 06:34:39.000000,0.3.1,12.0,mmdnn,,,,,60.0,57.0,https://pypi.org/project/mmdnn,2020-07-24 06:34:39.000000,3.0,1101.0,1179.0,,,,,,,,2.0,3369.0,,,,,,,,,,,,,,,,,,,,,\n427,neon,NervanaSystems/neon,,ml-frameworks,https://github.com/NervanaSystems/neon,https://github.com/NervanaSystems/neon,Apache-2.0,2014-10-16 01:00:17.000000,2020-12-23 01:21:42.000000,2019-05-22 18:27:54.000000,848,87.0,306.0,3854,1118.0,Intel Nervana reference deep learning framework committed to best performance on all hardware.,109.0,23,False,2018-01-05 23:25:04.000000,2.6.0,32.0,nervananeon,,,,,47.0,46.0,https://pypi.org/project/nervananeon,2018-01-05 23:25:04.000000,1.0,187.0,191.0,,,,,,,,3.0,307.0,,,,,,,,,,,,,,,,,,,,,\n428,DeepMatcher,anhaidgroup/deepmatcher,,nlp,https://github.com/anhaidgroup/deepmatcher,https://github.com/anhaidgroup/deepmatcher,BSD-3-Clause,2017-12-01 19:01:11.000000,2021-05-27 22:42:51.000000,2021-05-27 22:41:56.000000,1352,47.0,21.0,3626,175.0,Python package for performing Entity and Text Matching using Deep Learning.,7.0,23,True,2021-05-27 22:28:29.000000,0.1.2,12.0,deepmatcher,,,,,12.0,12.0,https://pypi.org/project/deepmatcher,2021-05-27 22:42:41.000000,,866.0,866.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n429,MatchZoo,NTMC-Community/MatchZoo,,nlp,https://github.com/NTMC-Community/MatchZoo,https://github.com/NTMC-Community/MatchZoo,Apache-2.0,2017-06-08 08:55:22.000000,2021-06-03 02:58:49.000000,2021-06-02 17:38:16.000000,879,28.0,428.0,3434,1810.0,\"Facilitating the design, comparison and sharing of deep text matching models.\",36.0,23,True,2019-10-24 13:09:11.000000,2.2.0,5.0,matchzoo,,,,['tensorflow'],10.0,10.0,https://pypi.org/project/matchzoo,2019-10-24 13:09:11.000000,,219.0,219.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n430,PyAlgoTrade,gbeced/pyalgotrade,,financial-data,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54.000000,2021-04-19 00:39:07.000000,2018-08-21 02:42:52.000000,1209,45.0,82.0,3346,1156.0,Python Algorithmic Trading Library.,11.0,23,False,,,8.0,pyalgotrade,,,,,95.0,74.0,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25.000000,21.0,748.0,748.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n431,TensorTrade,tensortrade-org/tensortrade,,financial-data,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32.000000,2021-05-21 06:09:27.000000,2021-05-21 06:09:22.000000,740,18.0,154.0,3245,897.0,\"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.\",52.0,23,True,2021-05-10 18:04:30.000000,1.0.3,27.0,tensortrade,,,,,18.0,17.0,https://pypi.org/project/tensortrade,2021-05-10 18:00:35.000000,1.0,1061.0,1061.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n432,segmentation_models,qubvel/segmentation_models,,image,https://github.com/qubvel/segmentation_models,https://github.com/qubvel/segmentation_models,MIT,2018-06-05 13:27:56.000000,2021-05-18 07:51:15.000000,2020-04-17 09:51:20.000000,764,175.0,246.0,3223,204.0,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,14.0,23,False,2020-01-10 11:36:02.000000,1.0.1,8.0,segmentation_models,,,,['tensorflow'],24.0,,https://pypi.org/project/segmentation_models,2020-01-10 11:36:02.000000,24.0,19015.0,19015.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n433,Camelot,atlanhq/camelot,,data-loading,https://github.com/atlanhq/camelot,https://github.com/atlanhq/camelot,MIT,2016-06-18 11:48:49.000000,2020-07-27 12:28:15.000000,2019-10-15 05:25:40.000000,315,68.0,275.0,3053,446.0,Camelot: PDF Table Extraction for Humans.,23.0,23,False,2020-07-27 12:28:15.000000,0.8.2,21.0,camelot-py,,,,,20.0,,https://pypi.org/project/camelot-py,2020-07-27 12:28:15.000000,20.0,28982.0,28982.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n434,Chartify,spotify/chartify,,data-viz,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05.000000,2021-03-20 11:20:12.000000,2021-02-05 18:49:02.000000,257,40.0,30.0,2923,195.0,Python library that makes it easy for data scientists to create charts.,21.0,23,True,2020-11-02 22:14:08.000000,3.0.3,16.0,chartify,conda-forge/chartify,,,,58.0,53.0,https://pypi.org/project/chartify,2020-11-02 22:14:08.000000,5.0,2064.0,2514.0,https://anaconda.org/conda-forge/chartify,2020-11-07 19:52:50.628000,13956.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n435,Image Super-Resolution,idealo/image-super-resolution,,image,https://github.com/idealo/image-super-resolution,https://github.com/idealo/image-super-resolution,Apache-2.0,2018-11-26 13:41:13.000000,2021-06-02 09:48:09.000000,2021-06-02 09:45:13.000000,535,72.0,105.0,2817,150.0,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,10.0,23,True,2020-01-08 15:37:35.000000,2.2.0,11.0,ISR,,idealo/image-super-resolution-gpu,,['tensorflow'],58.0,50.0,https://pypi.org/project/ISR,2020-01-08 15:37:35.000000,8.0,5399.0,5403.0,,,,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,,148.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n436,analytics-zoo,intel-analytics/analytics-zoo,,distributed-ml,https://github.com/intel-analytics/analytics-zoo,https://github.com/intel-analytics/analytics-zoo,Apache-2.0,2017-05-05 02:27:30.000000,2021-06-03 15:16:29.000000,2021-06-03 15:16:29.000000,666,526.0,646.0,2311,2989.0,\"Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray.\",97.0,23,True,2021-05-25 05:58:11.000000,0.10.0,78.0,analytics-zoo,,,,['spark'],2.0,2.0,https://pypi.org/project/analytics-zoo,2021-06-03 03:14:11.000000,,1679.0,1679.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n437,neuralcoref,huggingface/neuralcoref,,nlp,https://github.com/huggingface/neuralcoref,https://github.com/huggingface/neuralcoref,MIT,2017-07-03 13:04:16.000000,2021-02-24 08:54:06.000000,2021-02-24 08:54:03.000000,401,48.0,223.0,2295,115.0,Fast Coreference Resolution in spaCy with Neural Networks.,20.0,23,True,2019-04-08 11:28:27.000000,4.0.0,5.0,neuralcoref,conda-forge/neuralcoref,,,,368.0,350.0,https://pypi.org/project/neuralcoref,2019-04-08 09:56:00.000000,18.0,13859.0,14376.0,https://anaconda.org/conda-forge/neuralcoref,2020-02-21 22:10:40.453000,8216.0,,,,,3.0,206.0,,,,,,,,,,,,,,,,,,,,,\n438,Arctic,man-group/arctic,,data-containers,https://github.com/man-group/arctic,https://github.com/man-group/arctic,LGPL-2.1,2015-05-29 13:37:30.000000,2021-04-16 20:56:46.000000,2021-04-16 01:50:53.000000,462,86.0,438.0,2294,1077.0,Arctic is a high performance datastore for numeric data.,71.0,23,True,2020-12-01 23:17:26.000000,1.79.4,83.0,arctic,conda-forge/arctic,,,,162.0,120.0,https://pypi.org/project/arctic,2020-12-01 23:16:12.000000,42.0,3793.0,4342.0,https://anaconda.org/conda-forge/arctic,2019-12-16 08:57:24.231000,13724.0,,,,,3.0,121.0,,,,,,,,,,,,,,,,,,,,,\n439,ART,Trusted-AI/adversarial-robustness-toolbox,,adversarial,https://github.com/Trusted-AI/adversarial-robustness-toolbox,https://github.com/Trusted-AI/adversarial-robustness-toolbox,MIT,2018-03-15 14:40:43.000000,2021-06-03 15:09:01.000000,2021-06-02 13:03:49.000000,628,80.0,455.0,2266,,\"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..\",67.0,23,True,2021-05-20 22:47:40.000000,1.6.2,31.0,adversarial-robustness-toolbox,,,,,122.0,122.0,https://pypi.org/project/adversarial-robustness-toolbox,2021-05-20 22:05:47.000000,0.0,5512.0,5512.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n440,scikit-opt,guofei9987/scikit-opt,,sklearn-utils,https://github.com/guofei9987/scikit-opt,https://github.com/guofei9987/scikit-opt,MIT,2017-12-05 10:20:41.000000,2021-06-01 13:37:08.000000,2021-05-29 13:36:58.000000,530,21.0,80.0,2261,270.0,\"Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune..\",10.0,23,True,2021-03-27 15:31:11.000000,0.6.3,20.0,scikit-opt,,,,['sklearn'],37.0,34.0,https://pypi.org/project/scikit-opt,2021-03-27 15:27:39.000000,3.0,1186.0,1186.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n441,PandasGUI,adamerose/pandasgui,,data-viz,https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT,2019-06-12 02:19:42.000000,2021-05-18 18:41:19.000000,2021-05-18 18:41:19.000000,128,24.0,88.0,2222,403.0,A GUI for Pandas DataFrames.,8.0,23,True,2021-03-07 08:16:51.000000,0.2.10,40.0,pandasgui,,,,['pandas'],75.0,73.0,https://pypi.org/project/pandasgui,2021-03-07 08:16:51.000000,2.0,6440.0,6440.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n442,Enigma Catalyst,enigmampc/catalyst,,financial-data,https://github.com/enigmampc/catalyst,https://github.com/enigmampc/catalyst,Apache-2.0,2017-06-13 22:31:34.000000,2021-01-05 19:10:30.000000,2020-12-28 10:58:58.000000,627,135.0,356.0,2195,6362.0,An Algorithmic Trading Library for Crypto-Assets in Python.,145.0,23,True,2018-11-11 16:46:28.000000,0.5.21,52.0,enigma-catalyst,,,,,25.0,23.0,https://pypi.org/project/enigma-catalyst,2018-11-11 16:46:28.000000,2.0,3264.0,3264.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n443,fastNLP,fastnlp/fastNLP,,nlp,https://github.com/fastnlp/fastNLP,https://github.com/fastnlp/fastNLP,Apache-2.0,2018-03-07 13:30:20.000000,2021-04-22 01:57:46.000000,2021-04-12 13:45:28.000000,368,19.0,133.0,2168,1742.0,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,50.0,23,True,2020-11-06 15:31:29.000000,0.6.0,10.0,fastnlp,,,,,33.0,32.0,https://pypi.org/project/fastnlp,2019-02-04 02:35:37.000000,1.0,1032.0,1033.0,,,,,,,,3.0,58.0,,,,,,,,,,,,,,,,,,,,,\n444,TF Ranking,tensorflow/ranking,,recommender-systems,https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57.000000,2021-05-25 17:36:24.000000,2021-05-24 23:21:34.000000,381,29.0,207.0,2143,392.0,Learning to Rank in TensorFlow.,20.0,23,True,2021-05-25 17:36:24.000000,0.4.0,16.0,tensorflow_ranking,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow_ranking,2021-05-25 15:34:56.000000,2.0,88276.0,88276.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n445,GluonTS,awslabs/gluon-ts,,time-series-data,https://github.com/awslabs/gluon-ts,https://github.com/awslabs/gluon-ts,Apache-2.0,2019-05-15 17:17:29.000000,2021-06-03 14:50:57.000000,2021-06-03 12:28:52.000000,401,208.0,389.0,1917,733.0,Probabilistic time series modeling in Python.,73.0,23,True,2021-06-03 14:49:40.000000,0.7.5,38.0,gluonts,,,,['mxnet'],0.0,,https://pypi.org/project/gluonts,2021-06-03 14:50:57.000000,0.0,43693.0,43693.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n446,PyFlux,RJT1990/pyflux,,time-series-data,https://github.com/RJT1990/pyflux,https://github.com/RJT1990/pyflux,BSD-3-Clause,2016-02-16 20:12:02.000000,2019-03-19 10:45:02.000000,2018-12-16 15:30:13.000000,211,79.0,65.0,1875,118.0,Open source time series library for Python.,6.0,23,False,2017-11-21 16:27:06.000000,0.4.16,35.0,pyflux,,,,,215.0,185.0,https://pypi.org/project/pyflux,2017-11-21 16:27:06.000000,30.0,56188.0,56188.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n447,Pillow-SIMD,uploadcare/pillow-simd,,image,https://github.com/uploadcare/pillow-simd,https://github.com/uploadcare/pillow-simd,PIL,2014-11-12 15:33:02.000000,2021-05-10 11:18:09.000000,2020-06-02 14:50:14.000000,67,12.0,54.0,1602,,The friendly PIL fork.,310.0,23,False,2020-01-02 05:19:26.000000,7.0.0,35.0,pillow-simd,,,,,461.0,411.0,https://pypi.org/project/pillow-simd,2020-01-26 14:30:27.000000,50.0,32265.0,32265.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n448,Multicore-TSNE,DmitryUlyanov/Multicore-TSNE,,data-viz,https://github.com/DmitryUlyanov/Multicore-TSNE,https://github.com/DmitryUlyanov/Multicore-TSNE,BSD-3-Clause,2016-10-19 05:46:52.000000,2021-06-03 12:17:47.000000,2020-08-19 14:58:00.000000,200,37.0,20.0,1580,113.0,Parallel t-SNE implementation with Python and Torch wrappers.,15.0,23,True,2017-11-08 13:32:20.000000,0.0.1,3.0,MulticoreTSNE,conda-forge/multicore-tsne,,,['pytorch'],251.0,223.0,https://pypi.org/project/MulticoreTSNE,2019-01-09 07:23:04.000000,28.0,5674.0,5926.0,https://anaconda.org/conda-forge/multicore-tsne,2021-04-23 10:26:30.160000,7833.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n449,PyTextRank,DerwenAI/pytextrank,,nlp,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000000,2021-06-02 15:56:21.000000,2021-06-02 15:56:21.000000,300,17.0,52.0,1547,,Python implementation of TextRank for phrase extraction and summarization of text documents.,14.0,23,True,2021-03-25 19:46:28.000000,3.1.1,15.0,pytextrank,,,,,173.0,161.0,https://pypi.org/project/pytextrank,2021-03-25 19:46:28.000000,12.0,11763.0,11763.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n450,AmpliGraph,Accenture/AmpliGraph,,graph,https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05.000000,2021-05-25 16:56:00.000000,2021-05-25 16:49:48.000000,167,24.0,180.0,1518,947.0,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,19.0,23,True,2021-05-25 16:57:42.000000,1.4.0,12.0,ampligraph,,,,['tensorflow'],14.0,14.0,https://pypi.org/project/ampligraph,2021-05-25 16:47:29.000000,,1259.0,1259.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n451,sklearn-contrib-lightning,scikit-learn-contrib/lightning,,sklearn-utils,https://github.com/scikit-learn-contrib/lightning,https://github.com/scikit-learn-contrib/lightning,BSD-3-Clause,2012-01-11 13:53:52.000000,2021-05-28 23:10:11.000000,2021-05-28 23:05:50.000000,192,47.0,40.0,1453,724.0,\"Large-scale linear classification, regression and ranking in Python.\",17.0,23,True,2020-12-16 17:26:49.000000,0.6.0,8.0,sklearn-contrib-lightning,conda-forge/sklearn-contrib-lightning,,,['sklearn'],93.0,83.0,https://pypi.org/project/sklearn-contrib-lightning,2020-12-16 17:26:49.000000,10.0,480.0,2924.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2020-12-20 22:58:20.890000,144207.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n452,streamparse,Parsely/streamparse,,data-pipelines,https://github.com/Parsely/streamparse,https://github.com/Parsely/streamparse,Apache-2.0,2014-05-02 20:33:50.000000,2020-12-18 18:44:04.000000,2020-12-18 18:43:59.000000,219,69.0,263.0,1431,1059.0,\"Run Python in Apache Storm topologies. Pythonic API, CLI tooling, and a topology DSL.\",41.0,23,True,2020-10-07 19:53:15.000000,4.0.0,47.0,streamparse,,,,,100.0,48.0,https://pypi.org/project/streamparse,2020-10-07 19:45:19.000000,52.0,3951.0,3951.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n453,TensorFlow Privacy,tensorflow/privacy,,privacy-ml,https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000000,2021-06-02 20:52:02.000000,2021-06-02 20:52:00.000000,303,56.0,80.0,1415,465.0,Library for training machine learning models with privacy for training data.,37.0,23,True,2021-06-02 20:46:09.000000,0.6.0,11.0,tensorflow-privacy,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow-privacy,2021-06-02 20:46:09.000000,2.0,12049.0,12050.0,,,,,,,,2.0,43.0,2.0,,,,,,,,,,,,,,,,,,,,\n454,Torchmeta,tristandeleu/pytorch-meta,,pytorch-utils,https://github.com/tristandeleu/pytorch-meta,https://github.com/tristandeleu/pytorch-meta,MIT,2018-12-04 23:36:45.000000,2021-04-13 10:29:29.000000,2021-03-19 14:47:19.000000,153,28.0,77.0,1345,342.0,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.,10.0,23,True,2021-03-19 14:49:53.000000,1.7.0,27.0,torchmeta,,,,['pytorch'],43.0,43.0,https://pypi.org/project/torchmeta,2021-03-19 14:49:53.000000,,882.0,882.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n455,mljar-supervised,mljar/mljar-supervised,,hyperopt,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000000,2021-05-14 12:27:57.000000,2021-05-14 12:20:22.000000,168,42.0,332.0,1308,912.0,Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning.,9.0,23,True,2021-05-14 12:27:57.000000,0.10.4,71.0,mljar-supervised,,,,,10.0,10.0,https://pypi.org/project/mljar-supervised,2021-05-14 12:27:57.000000,,5220.0,5220.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n456,Torch Points 3D,nicolas-chaulet/torch-points3d,,image,https://github.com/nicolas-chaulet/torch-points3d,https://github.com/nicolas-chaulet/torch-points3d,BSD-3-Clause,2019-12-06 11:33:34.000000,2021-06-02 01:17:23.000000,2021-06-01 17:10:54.000000,200,63.0,185.0,1278,1670.0,Pytorch framework for doing deep learning on point clouds.,25.0,23,True,2021-04-30 09:00:22.000000,1.3.0,14.0,torch-points3d,,,,['pytorch'],3.0,3.0,https://pypi.org/project/torch-points3d,2021-04-30 09:00:22.000000,,639.0,639.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n457,Pypeline,cgarciae/pypeln,,data-pipelines,https://github.com/cgarciae/pypeln,https://github.com/cgarciae/pypeln,MIT,2018-09-01 13:43:31.000000,2021-05-01 11:58:40.000000,2021-04-13 00:55:39.000000,71,14.0,36.0,1223,235.0,Concurrent data pipelines in Python .,10.0,23,True,2021-01-05 18:00:06.000000,0.4.7,34.0,pypeln,,,,,10.0,,https://pypi.org/project/pypeln,2021-01-05 18:00:06.000000,10.0,22636.0,22636.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n458,metric-learn,scikit-learn-contrib/metric-learn,,others,https://github.com/scikit-learn-contrib/metric-learn,https://github.com/scikit-learn-contrib/metric-learn,MIT,2013-11-02 08:29:47.000000,2021-05-23 21:08:50.000000,2021-04-26 08:27:27.000000,216,52.0,110.0,1143,266.0,Metric learning algorithms in Python.,19.0,23,True,2020-07-02 12:59:23.000000,0.6.2,10.0,metric-learn,,,,['sklearn'],163.0,145.0,https://pypi.org/project/metric-learn,2020-07-02 12:59:23.000000,18.0,6868.0,6868.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n459,TabPy,tableau/TabPy,,others,https://github.com/tableau/TabPy,https://github.com/tableau/TabPy,MIT,2016-09-27 21:26:03.000000,2021-02-04 23:28:56.000000,2021-02-04 23:28:56.000000,410,13.0,265.0,1084,828.0,Execute Python code on the fly and display results in Tableau visualizations:.,40.0,23,True,2020-11-11 19:06:41.000000,2.3.1,24.0,tabpy,,,,,62.0,62.0,https://pypi.org/project/tabpy,2020-11-11 19:06:41.000000,0.0,13358.0,13358.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n460,FairScale,facebookresearch/fairscale,,distributed-ml,https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000000,2021-06-03 14:28:13.000000,2021-06-01 21:31:58.000000,81,41.0,140.0,1077,465.0,PyTorch extensions for high performance and large scale training.,33.0,23,True,2021-05-18 02:29:18.000000,0.3.7,19.0,fairscale,,,,['pytorch'],25.0,25.0,https://pypi.org/project/fairscale,2021-05-18 00:45:15.000000,0.0,9428.0,9428.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n461,tensorly,tensorly/tensorly,,others,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52.000000,2021-06-03 13:07:24.000000,2021-06-03 13:07:24.000000,205,34.0,109.0,1025,,TensorLy: Tensor Learning in Python.,44.0,23,True,2021-04-15 15:01:47.000000,0.5.1,17.0,tensorly,conda-forge/tensorly,,,,172.0,152.0,https://pypi.org/project/tensorly,2021-04-14 11:18:01.000000,20.0,5871.0,9656.0,https://anaconda.org/conda-forge/tensorly,2020-12-07 22:44:30.386000,140065.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n462,Optimus,ironmussa/Optimus,,data-pipelines,https://github.com/ironmussa/Optimus,https://github.com/ironmussa/Optimus,Apache-2.0,2017-07-13 02:31:18.000000,2021-06-03 13:47:25.000000,2021-06-03 13:47:22.000000,193,139.0,170.0,1013,3530.0,\"Agile Data Preparation Workflows madeeasy with pandas, dask, cudf, dask_cudf and pyspark.\",21.0,23,True,2020-07-19 03:05:40.000000,2.2.32,85.0,optimuspyspark,,,,['spark'],14.0,14.0,https://pypi.org/project/optimuspyspark,2019-05-30 02:22:54.000000,,6963.0,6963.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n463,Alibi,SeldonIO/alibi,,interpretability,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Apache-2.0,2019-02-26 10:10:56.000000,2021-05-19 15:55:36.000000,2021-05-18 09:17:25.000000,126,82.0,95.0,1007,270.0,Algorithms for monitoring and explaining machine learning models.,13.0,23,True,2021-04-29 14:20:00.000000,0.5.8,18.0,alibi,,,,,104.0,86.0,https://pypi.org/project/alibi,2021-04-29 14:19:18.000000,18.0,10886.0,10886.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n464,pandasql,yhat/pandasql,,data-containers,https://github.com/yhat/pandasql,https://github.com/yhat/pandasql,MIT,2013-02-18 01:53:56.000000,2020-08-14 13:00:13.000000,2017-02-01 15:40:30.000000,142,44.0,23.0,990,127.0,sqldf for pandas.,15.0,23,False,2016-04-20 21:52:36.000000,0.7.3,31.0,pandasql,,,,['pandas'],875.0,777.0,https://pypi.org/project/pandasql,2016-04-20 21:52:36.000000,98.0,390775.0,390775.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n465,ChainerRL,chainer/chainerrl,,reinforcement-learning,https://github.com/chainer/chainerrl,https://github.com/chainer/chainerrl,MIT,2017-01-30 04:58:15.000000,2021-04-17 06:02:31.000000,2021-04-17 06:02:30.000000,207,75.0,146.0,957,3471.0,ChainerRL is a deep reinforcement learning library built on top of Chainer.,29.0,23,True,2020-02-14 05:35:56.000000,0.8.0,10.0,chainerrl,,,,,113.0,99.0,https://pypi.org/project/chainerrl,2020-02-14 05:35:56.000000,14.0,734.0,734.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n466,ogb,snap-stanford/ogb,,graph,https://github.com/snap-stanford/ogb,https://github.com/snap-stanford/ogb,MIT,2019-11-22 22:13:57.000000,2021-05-24 21:00:40.000000,2021-05-24 21:00:31.000000,187,3.0,145.0,953,530.0,\"Benchmark datasets, data loaders, and evaluators for graph machine learning.\",15.0,23,True,2021-04-07 08:44:37.000000,1.3.1,14.0,ogb,,,,,103.0,103.0,https://pypi.org/project/ogb,2021-04-07 08:44:37.000000,0.0,7037.0,7037.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n467,keract,philipperemy/keract,,interpretability,https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57.000000,2021-05-02 00:52:25.000000,2021-04-30 05:11:38.000000,178,3.0,77.0,881,361.0,Layers Outputs and Gradients in Keras. Made easy.,15.0,23,True,2021-01-22 09:01:30.000000,4.4.0,37.0,keract,,,,['tensorflow'],90.0,85.0,https://pypi.org/project/keract,2021-01-22 09:01:30.000000,5.0,1532.0,1532.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n468,Opacus,pytorch/opacus,,privacy-ml,https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000000,2021-06-02 12:55:44.000000,2021-06-02 12:52:32.000000,123,14.0,68.0,821,252.0,Training PyTorch models with differential privacy.,30.0,23,True,2021-03-10 19:25:01.000000,0.13.0,8.0,opacus,,,,['pytorch'],33.0,33.0,https://pypi.org/project/opacus,2021-03-10 19:25:01.000000,0.0,8815.0,8817.0,,,,,,,,2.0,34.0,,,,,,,,,,,,,,,,,,,,,\n469,Neural Structured Learning,tensorflow/neural-structured-learning,,tensorflow-utils,https://github.com/tensorflow/neural-structured-learning,https://github.com/tensorflow/neural-structured-learning,Apache-2.0,2019-08-27 21:48:16.000000,2021-06-03 02:26:05.000000,2021-06-03 02:26:00.000000,146,5.0,41.0,820,443.0,Training neural models with structured signals.,27.0,23,True,2020-08-18 00:35:35.000000,1.3.1,7.0,neural-structured-learning,,,,['tensorflow'],70.0,70.0,https://pypi.org/project/neural-structured-learning,2020-08-18 00:35:35.000000,0.0,8594.0,8594.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n470,pingouin,raphaelvallat/pingouin,,probabilistics,https://github.com/raphaelvallat/pingouin,https://github.com/raphaelvallat/pingouin,GPL-3.0,2018-04-01 01:10:22.000000,2021-06-03 04:04:38.000000,2021-06-02 23:52:53.000000,60,20.0,124.0,739,1089.0,Statistical package in Python based on Pandas.,19.0,23,False,2021-05-27 22:16:23.000000,0.3.12,33.0,pingouin,conda-forge/pingouin,,,,235.0,225.0,https://pypi.org/project/pingouin,2021-05-27 22:10:24.000000,10.0,30387.0,31643.0,https://anaconda.org/conda-forge/pingouin,2021-05-28 00:27:57.122000,37684.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n471,GPUtil,anderskm/gputil,,gpu-utilities,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43.000000,2020-10-01 05:42:49.000000,2019-08-16 09:00:15.000000,83,11.0,14.0,725,140.0,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,13.0,23,False,2018-12-18 09:12:13.000000,1.4.0,8.0,gputil,,,,,1313.0,1211.0,https://pypi.org/project/gputil,2018-12-18 09:12:13.000000,102.0,163141.0,163141.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n472,Node2Vec,eliorc/node2vec,,graph,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000000,2021-04-16 07:45:36.000000,2021-04-16 07:42:56.000000,175,3.0,59.0,711,56.0,Implementation of the node2vec algorithm.,8.0,23,True,2021-04-16 07:45:36.000000,0.4.3,14.0,node2vec,conda-forge/node2vec,,,,153.0,143.0,https://pypi.org/project/node2vec,2021-04-02 06:33:26.000000,10.0,17417.0,17891.0,https://anaconda.org/conda-forge/node2vec,2020-04-25 22:41:13.714000,17569.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n473,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,,data-viz,https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14.000000,2021-05-10 08:15:20.000000,2021-05-10 08:14:09.000000,83,21.0,60.0,686,289.0,Bokeh Plotting Backend for Pandas and GeoPandas.,12.0,23,True,2021-04-11 17:43:13.000000,0.5.5,16.0,pandas-bokeh,,,,['pandas'],194.0,184.0,https://pypi.org/project/pandas-bokeh,2021-04-11 17:43:13.000000,10.0,7153.0,7153.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n474,scikit-multilearn,scikit-multilearn/scikit-multilearn,,sklearn-utils,https://github.com/scikit-multilearn/scikit-multilearn,https://github.com/scikit-multilearn/scikit-multilearn,BSD-2-Clause,2014-04-30 13:05:44.000000,2020-06-30 10:19:46.000000,2019-05-21 11:29:06.000000,121,66.0,92.0,659,487.0,A scikit-learn based module for multi-label et. al. classification.,15.0,23,False,2018-12-10 16:24:47.000000,0.2.0,6.0,scikit-multilearn,,,,['sklearn'],468.0,446.0,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47.000000,22.0,90006.0,90006.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n475,Sentinelsat,sentinelsat/sentinelsat,,geospatial-data,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26.000000,2021-06-01 18:43:10.000000,2021-05-30 08:56:40.000000,183,11.0,261.0,611,,Search and download Copernicus Sentinel satellite images.,37.0,23,False,2021-05-25 11:28:50.000000,1.0.1,38.0,sentinelsat,,,,,240.0,196.0,https://pypi.org/project/sentinelsat,2021-05-25 11:28:50.000000,44.0,20060.0,20063.0,,,,,,,,3.0,202.0,2.0,,,,,,,,,,,,,,,,,,,,\n476,CellProfiler,CellProfiler/CellProfiler,,image,https://github.com/CellProfiler/CellProfiler,https://github.com/CellProfiler/CellProfiler,BSD-3-Clause,2011-04-05 12:10:12.000000,2021-06-01 17:29:33.000000,2021-05-21 20:36:33.000000,278,169.0,2792.0,576,15313.0,An open-source application for biological image analysis.,119.0,23,True,2021-02-16 21:59:54.000000,4.1.3,41.0,cellprofiler,,,,,4.0,4.0,https://pypi.org/project/cellprofiler,2017-09-04 18:03:36.000000,,513.0,524.0,,,,,,,,3.0,999.0,,,,,,,,,,,,,,,,,,,,,\n477,python-ternary,marcharper/python-ternary,,data-viz,https://github.com/marcharper/python-ternary,https://github.com/marcharper/python-ternary,MIT,2012-08-07 23:48:55.000000,2021-05-28 10:20:52.000000,2021-05-22 19:43:38.000000,113,24.0,85.0,425,387.0,Ternary plotting library for python with matplotlib.,26.0,23,True,2021-02-17 18:38:15.000000,1.0.8,11.0,python-ternary,conda-forge/python-ternary,,,,86.0,66.0,https://pypi.org/project/python-ternary,2021-02-17 18:38:15.000000,20.0,4555.0,5427.0,https://anaconda.org/conda-forge/python-ternary,2021-02-17 22:38:55.625000,54117.0,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,,,,\n478,GeoViews,holoviz/geoviews,,geospatial-data,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000000,2021-04-13 11:40:25.000000,2021-04-13 11:40:25.000000,64,79.0,180.0,346,656.0,\"Simple, concise geographical visualization in Python.\",23.0,23,True,2021-03-13 16:29:11.000000,1.9.1,26.0,geoviews,conda-forge/geoviews,,,,20.0,,https://pypi.org/project/geoviews,2021-03-13 16:29:11.000000,20.0,6670.0,8448.0,https://anaconda.org/conda-forge/geoviews,2021-03-14 15:19:05.550000,69375.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n479,pySBD,nipunsadvilkar/pySBD,,nlp,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20.000000,2021-04-25 08:42:15.000000,2021-02-11 16:40:18.000000,32,8.0,48.0,320,279.0,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,6.0,23,True,2021-02-11 16:42:37.000000,0.3.4,15.0,pysbd,,,,,161.0,157.0,https://pypi.org/project/pysbd,2021-02-11 16:36:33.000000,4.0,23069.0,23069.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n480,pysparkling,svenkreiss/pysparkling,,data-pipelines,https://github.com/svenkreiss/pysparkling,https://github.com/svenkreiss/pysparkling,MIT,2015-05-09 19:23:20.000000,2021-03-05 14:35:43.000000,2021-02-22 17:29:11.000000,45,7.0,21.0,235,1527.0,A pure Python implementation of Apache Spark's RDD and DStream interfaces.,10.0,23,True,2021-01-10 21:15:26.000000,0.6.1,68.0,pysparkling,,,,,78.0,64.0,https://pypi.org/project/pysparkling,2021-01-10 21:15:26.000000,14.0,13367.0,13367.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n481,Recommenders,microsoft/recommenders,,recommender-systems,https://github.com/microsoft/recommenders,https://github.com/microsoft/recommenders,MIT,2018-09-19 10:06:07.000000,2021-06-03 15:07:10.000000,2021-06-02 21:46:56.000000,1729,136.0,450.0,10112,6334.0,Best Practices on Recommendation Systems.,93.0,22,True,2021-04-30 09:22:21.000000,0.5.0,7.0,,,,,,2.0,2.0,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n482,cuDF,rapidsai/cudf,,gpu-utilities,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000000,2021-06-03 15:02:02.000000,2021-06-03 15:02:01.000000,516,623.0,3122.0,3975,,cuDF - GPU DataFrame Library.,213.0,22,True,2021-04-28 18:30:45.000000,0.19.2,11.0,cudf,,,,,4.0,,https://pypi.org/project/cudf,2020-06-01 20:07:47.000000,4.0,1136.0,1136.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n483,AdaNet,tensorflow/adanet,,hyperopt,https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24.000000,2020-07-09 21:03:28.000000,2020-07-09 20:51:04.000000,509,65.0,47.0,3277,439.0,Fast and flexible AutoML with learning guarantees.,26.0,22,True,2020-07-09 21:03:28.000000,0.9.0,13.0,adanet,,,,['tensorflow'],41.0,39.0,https://pypi.org/project/adanet,2020-07-09 21:03:28.000000,2.0,1281.0,1281.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n484,TensorWatch,microsoft/tensorwatch,,ml-experiments,https://github.com/microsoft/tensorwatch,https://github.com/microsoft/tensorwatch,MIT,2019-05-15 08:29:34.000000,2021-04-13 09:44:02.000000,2021-01-15 19:46:05.000000,328,50.0,15.0,3107,112.0,\"Debugging, monitoring and visualization for Python Machine Learning and Data Science.\",13.0,22,True,2020-03-04 07:26:22.000000,0.9.1,14.0,tensorwatch,,,,,57.0,51.0,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22.000000,6.0,3575.0,3575.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n485,SHOGUN,shogun-toolbox/shogun,,ml-frameworks,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32.000000,2021-03-05 12:19:13.000000,2020-12-08 16:56:38.000000,1049,462.0,1077.0,2827,16205.0,Unified and efficient Machine Learning.,248.0,22,True,2019-07-05 10:23:31.000000,shogun_6.1.4,10.0,,conda-forge/shogun,shogun/shogun,,,,,,,,,2145.0,https://anaconda.org/conda-forge/shogun,2018-06-25 20:49:17.070000,100298.0,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1457.0,3.0,,,,,,,,,,shogun,,,,,,,,,,,,\n486,gpt-2-simple,minimaxir/gpt-2-simple,,nlp,https://github.com/minimaxir/gpt-2-simple,https://github.com/minimaxir/gpt-2-simple,MIT,2019-04-13 20:00:52.000000,2021-04-20 23:55:42.000000,2021-02-14 19:39:38.000000,544,144.0,93.0,2683,133.0,Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts.,17.0,22,True,2021-02-14 21:13:20.000000,0.7.2,16.0,gpt-2-simple,,,,['tensorflow'],6.0,,https://pypi.org/project/gpt-2-simple,2021-02-14 20:20:24.000000,6.0,10845.0,10853.0,,,,,,,,3.0,222.0,,,,,,,,,,,,,,,,,,,,,\n487,tensorflow-graphics,tensorflow/graphics,,image,https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44.000000,2021-06-02 05:40:52.000000,2021-06-02 05:40:45.000000,291,118.0,84.0,2464,662.0,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,33.0,22,True,2020-05-20 19:56:41.000000,2020.5.20,21.0,tensorflow-graphics,,,,['tensorflow'],4.0,1.0,https://pypi.org/project/tensorflow-graphics,2020-05-20 19:56:41.000000,3.0,3895.0,3895.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n488,Porcupine,Picovoice/Porcupine,,audio,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000000,2021-06-03 00:12:12.000000,2021-06-03 00:12:12.000000,356,11.0,303.0,2452,479.0,On-device wake word detection powered by deep learning.,27.0,22,True,2021-04-14 16:39:57.000000,1.9.5,19.0,pvporcupine,,,,,5.0,5.0,https://pypi.org/project/pvporcupine,2021-04-14 16:39:57.000000,0.0,877.0,877.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n489,Luminoth,tryolabs/luminoth,,image,https://github.com/tryolabs/luminoth,https://github.com/tryolabs/luminoth,BSD-3-Clause,2017-02-16 15:07:46.000000,2021-05-21 16:21:18.000000,2020-01-07 20:53:25.000000,403,50.0,127.0,2373,838.0,Deep Learning toolkit for Computer Vision.,15.0,22,False,2018-11-09 21:35:17.000000,0.2.3,10.0,luminoth,,,,['tensorflow'],32.0,30.0,https://pypi.org/project/luminoth,2018-11-09 21:35:17.000000,2.0,888.0,1148.0,,,,,,,,3.0,11481.0,,,,,,,,,,,,,,,,,,,,,\n490,MMLSpark,Azure/mmlspark,,distributed-ml,https://github.com/Azure/mmlspark,https://github.com/Azure/mmlspark,MIT,2017-06-05 08:23:44.000000,2021-06-03 06:04:31.000000,2021-06-03 05:23:33.000000,504,202.0,235.0,2339,840.0,Microsoft Machine Learning for Apache Spark.,67.0,22,True,2020-10-02 19:36:01.000000,1.0.0-rc3,17.0,mmlspark,,,,['spark'],,,https://pypi.org/project/mmlspark,2020-03-18 01:27:31.000000,,33320.0,33320.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n491,Texar,asyml/texar,,nlp,https://github.com/asyml/texar,https://github.com/asyml/texar,Apache-2.0,2017-07-22 19:02:05.000000,2020-09-17 07:03:55.000000,2020-07-29 00:38:30.000000,356,33.0,126.0,2167,1719.0,\"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the..\",41.0,22,True,2019-11-19 04:11:18.000000,0.2.4,6.0,texar,,,,['tensorflow'],17.0,15.0,https://pypi.org/project/texar,2019-11-19 04:11:18.000000,2.0,235.0,235.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n492,knockknock,huggingface/knockknock,,ml-experiments,https://github.com/huggingface/knockknock,https://github.com/huggingface/knockknock,MIT,2019-03-20 13:08:55.000000,2021-05-20 19:28:15.000000,2020-03-16 04:26:47.000000,168,13.0,21.0,2132,75.0,Knock Knock: Get notified when your training ends with only two additional lines of code.,18.0,22,False,2020-03-04 04:15:47.000000,0.1.8,10.0,knockknock,conda-forge/knockknock,,,,176.0,173.0,https://pypi.org/project/knockknock,2020-03-16 14:30:23.000000,3.0,3378.0,3709.0,https://anaconda.org/conda-forge/knockknock,2020-03-17 01:52:16.317000,6635.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n493,m2cgen,BayesWitnesses/m2cgen,,model-serialisation,https://github.com/BayesWitnesses/m2cgen,https://github.com/BayesWitnesses/m2cgen,MIT,2019-01-13 02:32:55.000000,2021-06-02 21:51:49.000000,2021-06-02 21:48:57.000000,153,36.0,45.0,1813,274.0,\"Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart,..\",12.0,22,True,2020-09-18 19:17:26.000000,0.9.0,12.0,m2cgen,,,,,6.0,6.0,https://pypi.org/project/m2cgen,2020-09-18 19:16:17.000000,,25525.0,25525.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n494,vidgear,abhiTronix/vidgear,,image,https://github.com/abhiTronix/vidgear,https://github.com/abhiTronix/vidgear,Apache-2.0,2019-03-17 02:42:42.000000,2021-06-03 00:30:42.000000,2021-04-25 17:12:04.000000,128,4.0,146.0,1792,649.0,High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features.,6.0,22,True,2021-04-25 18:49:14.000000,idgear-0.2.1,13.0,vidgear,,,,,110.0,108.0,https://pypi.org/project/vidgear,2021-01-01 07:57:09.000000,2.0,2189.0,2201.0,,,,,,,,3.0,347.0,,,,,,,,,,,,,,,,,,,,,\n495,Neural Tangents,google/neural-tangents,,ml-frameworks,https://github.com/google/neural-tangents,https://github.com/google/neural-tangents,Apache-2.0,2019-04-08 16:48:48.000000,2021-05-13 23:26:06.000000,2021-05-13 23:25:59.000000,156,28.0,60.0,1440,376.0,Fast and Easy Infinite Neural Networks in Python.,18.0,22,True,2021-01-25 23:20:02.000000,0.3.6,20.0,neural-tangents,,,,,18.0,18.0,https://pypi.org/project/neural-tangents,2021-01-25 23:06:16.000000,0.0,485.0,494.0,,,,,,,,3.0,114.0,,,,,,,,,,,,,,,,,,,,,\n496,Magnitude,plasticityai/magnitude,,nn-search,https://github.com/plasticityai/magnitude,https://github.com/plasticityai/magnitude,MIT,2018-02-24 07:28:16.000000,2021-02-23 18:10:43.000000,2020-07-17 20:19:46.000000,101,28.0,50.0,1440,350.0,\"A fast, efficient universal vector embedding utility package.\",4.0,22,True,2020-05-25 11:26:36.000000,0.1.143,128.0,pymagnitude,,,,,205.0,191.0,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36.000000,14.0,7617.0,7617.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n497,anaGo,Hironsan/anago,,nlp,https://github.com/Hironsan/anago,https://github.com/Hironsan/anago,MIT,2017-06-26 21:28:36.000000,2021-06-01 21:53:57.000000,2021-04-01 12:34:50.000000,362,36.0,71.0,1409,298.0,\"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.\",11.0,22,True,2018-07-17 01:59:21.000000,1.0.8,14.0,anago,,,,['tensorflow'],31.0,26.0,https://pypi.org/project/anago,2018-07-17 01:59:21.000000,5.0,7250.0,7250.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n498,Talos,autonomio/talos,,hyperopt,https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41.000000,2021-05-27 09:49:51.000000,2021-05-27 09:49:50.000000,232,41.0,351.0,1407,559.0,\"Hyperparameter Optimization for TensorFlow, Keras and PyTorch.\",19.0,22,True,2020-11-09 16:48:30.000000,1.0,14.0,talos,,,,['tensorflow'],123.0,117.0,https://pypi.org/project/talos,2020-11-09 16:49:08.000000,6.0,2225.0,2225.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n499,checklist,marcotcr/checklist,,interpretability,https://github.com/marcotcr/checklist,https://github.com/marcotcr/checklist,MIT,2020-03-09 17:18:49.000000,2021-05-28 17:07:58.000000,2021-05-24 20:21:51.000000,129,8.0,68.0,1374,227.0,Beyond Accuracy: Behavioral Testing of NLP models with CheckList.,10.0,22,True,2021-05-24 16:45:59.000000,0.0.11,10.0,checklist,,,,['jupyter'],11.0,9.0,https://pypi.org/project/checklist,2021-05-24 16:45:59.000000,2.0,2273.0,2273.0,,,,,,,,2.0,,2.0,,,,,,,,,,,,,,,,,,,,\n500,EfficientNets,rwightman/gen-efficientnet-pytorch,,pytorch-utils,https://github.com/rwightman/gen-efficientnet-pytorch,https://github.com/rwightman/gen-efficientnet-pytorch,Apache-2.0,2019-05-11 19:35:56.000000,2021-04-16 18:42:01.000000,2020-11-30 05:49:27.000000,175,,48.0,1329,106.0,\"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.\",5.0,22,True,2020-08-20 19:55:21.000000,1.0.0,9.0,geffnet,,,,['pytorch'],56.0,56.0,https://pypi.org/project/geffnet,2020-08-20 19:55:21.000000,0.0,4177.0,4177.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n501,NiftyNet,NifTK/NiftyNet,,medical-data,https://github.com/NifTK/NiftyNet,https://github.com/NifTK/NiftyNet,Apache-2.0,2017-08-30 07:55:43.000000,2020-04-21 19:54:52.000000,2020-04-21 19:54:51.000000,385,102.0,224.0,1283,2848.0,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,58.0,22,False,2019-10-10 10:59:33.000000,0.6.0,11.0,niftynet,,,,['tensorflow'],36.0,35.0,https://pypi.org/project/niftynet,2019-10-10 10:59:33.000000,1.0,215.0,215.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n502,Karate Club,benedekrozemberczki/karateclub,,graph,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56.000000,2021-05-19 21:53:35.000000,2021-05-19 21:42:25.000000,149,,55.0,1261,2126.0,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,12.0,22,False,2021-05-19 21:53:35.000000,_10100,98.0,karateclub,,,,,41.0,41.0,https://pypi.org/project/karateclub,2021-05-19 21:50:32.000000,0.0,4951.0,4951.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n503,MLBox,AxeldeRomblay/MLBox,,hyperopt,https://github.com/AxeldeRomblay/MLBox,https://github.com/AxeldeRomblay/MLBox,BSD-1-Clause,2017-06-01 16:59:24.000000,2021-05-21 15:42:44.000000,2020-08-25 09:26:27.000000,253,15.0,73.0,1224,1121.0,MLBox is a powerful Automated Machine Learning python library.,9.0,22,False,2020-08-25 09:32:37.000000,0.8.5,21.0,mlbox,,,,,25.0,25.0,https://pypi.org/project/mlbox,2020-08-25 09:32:37.000000,,1948.0,1948.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n504,FARM,deepset-ai/FARM,,nlp,https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12.000000,2021-06-03 14:08:34.000000,2021-06-03 12:59:07.000000,181,42.0,340.0,1204,568.0,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,32.0,22,True,2021-03-31 14:33:39.000000,0.7.1,23.0,farm,,,,['pytorch'],2.0,,https://pypi.org/project/farm,2021-02-22 17:30:04.000000,2.0,7915.0,7915.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n505,FinTA,peerchemist/finta,,financial-data,https://github.com/peerchemist/finta,https://github.com/peerchemist/finta,LGPL-3.0,2016-09-01 21:02:46.000000,2021-05-15 16:10:31.000000,2021-05-15 16:10:27.000000,362,10.0,63.0,1071,384.0,Common financial technical indicators implemented in Pandas.,24.0,22,False,2021-04-03 08:51:49.000000,1.3,19.0,finta,,,,,79.0,75.0,https://pypi.org/project/finta,2020-10-21 11:39:44.000000,4.0,6737.0,6737.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n506,SciSpacy,allenai/scispacy,,nlp,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52.000000,2021-04-19 22:02:42.000000,2021-04-19 22:02:36.000000,133,31.0,159.0,926,,A full spaCy pipeline and models for scientific/biomedical documents.,20.0,22,True,2021-02-12 22:56:06.000000,0.4.0,10.0,scispacy,,,,,276.0,264.0,https://pypi.org/project/scispacy,2021-02-12 22:56:06.000000,12.0,16498.0,16498.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n507,minisom,JustGlowing/minisom,,others,https://github.com/JustGlowing/minisom,https://github.com/JustGlowing/minisom,CC-BY-3.0,2013-07-03 10:10:06.000000,2021-05-17 07:54:32.000000,2021-05-17 07:50:23.000000,273,6.0,70.0,849,450.0,MiniSom is a minimalistic implementation of the Self Organizing Maps.,22.0,22,False,2021-04-24 17:22:39.000000,2.2.9,1.0,minisom,,,,,176.0,168.0,https://pypi.org/project/minisom,2021-04-24 17:21:29.000000,8.0,5312.0,5312.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n508,Explainability 360,Trusted-AI/AIX360,,interpretability,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48.000000,2021-05-02 10:43:29.000000,2021-05-02 10:43:29.000000,172,26.0,21.0,846,307.0,Interpretability and explainability of data and machine learning models.,27.0,22,True,2020-10-28 09:32:21.000000,0.2.1,4.0,aix360,,,,,17.0,16.0,https://pypi.org/project/aix360,2020-10-28 09:18:17.000000,1.0,1384.0,1384.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n509,scikit-cuda,lebedov/scikit-cuda,,gpu-utilities,https://github.com/lebedov/scikit-cuda,https://github.com/lebedov/scikit-cuda,BSD-3-Clause,2010-09-27 02:02:07.000000,2021-03-30 14:24:47.000000,2021-03-30 14:24:27.000000,160,42.0,165.0,832,1029.0,Python interface to GPU-powered libraries.,44.0,22,True,2019-05-27 00:29:00.000000,0.5.3,7.0,scikit-cuda,,,,,200.0,130.0,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00.000000,70.0,997.0,997.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n510,tf-explain,sicara/tf-explain,,interpretability,https://github.com/sicara/tf-explain,https://github.com/sicara/tf-explain,MIT,2019-07-15 08:26:24.000000,2021-04-19 12:18:12.000000,2021-04-19 12:18:11.000000,77,33.0,47.0,821,198.0,Interpretability Methods for tf.keras models with Tensorflow 2.x.,14.0,22,True,2021-02-16 18:59:38.000000,0.3.0,7.0,tf-explain,,,,['tensorflow'],79.0,77.0,https://pypi.org/project/tf-explain,2021-02-16 18:59:38.000000,2.0,1391.0,1391.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n511,stockstats,jealous/stockstats,,financial-data,https://github.com/jealous/stockstats,https://github.com/jealous/stockstats,BSD-3-Clause,2016-06-05 15:21:22.000000,2020-12-10 07:08:11.000000,2020-10-17 10:59:35.000000,216,30.0,31.0,789,23.0,Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.,7.0,22,True,2020-10-17 11:10:43.000000,0.3.2,14.0,stockstats,,,,,307.0,259.0,https://pypi.org/project/stockstats,2020-10-17 11:10:43.000000,48.0,34558.0,34558.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n512,Madmom,CPJKU/madmom,,audio,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06.000000,2021-05-06 10:13:17.000000,2019-12-19 14:46:37.000000,125,54.0,180.0,744,1722.0,Python audio and music signal processing library.,19.0,22,False,2018-11-14 14:57:41.000000,0.16.1,11.0,madmom,,,,,163.0,129.0,https://pypi.org/project/madmom,2018-11-14 14:56:22.000000,34.0,3668.0,3668.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n513,gmaps,pbugnion/gmaps,,geospatial-data,https://github.com/pbugnion/gmaps,https://github.com/pbugnion/gmaps,BSD-3-Clause,2014-12-01 09:12:06.000000,2020-10-13 07:09:18.000000,2019-07-22 06:22:45.000000,143,66.0,135.0,713,1380.0,Google maps for Jupyter notebooks.,16.0,22,False,2019-07-21 08:49:48.715000,0.9.0,94.0,gmaps,conda-forge/gmaps,,,['jupyter'],75.0,1.0,https://pypi.org/project/gmaps,2019-07-21 08:49:39.000000,74.0,8868.0,15287.0,https://anaconda.org/conda-forge/gmaps,2019-08-02 11:56:50.940000,227105.0,,,,,3.0,,,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715000,,1785.0,,,,,,,,,,,,,,\n514,arch,bashtage/arch,,financial-data,https://github.com/bashtage/arch,https://github.com/bashtage/arch,NCSA,2014-08-29 15:41:28.000000,2021-05-27 11:12:42.000000,2021-05-27 11:07:29.000000,163,13.0,138.0,713,,ARCH models in Python.,26.0,22,False,2021-03-16 08:28:41.000000,4.19,32.0,arch,,,,,346.0,304.0,https://pypi.org/project/arch,2021-03-16 08:30:20.000000,42.0,53299.0,53299.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n515,NeuPy,itdxer/neupy,,ml-frameworks,https://github.com/itdxer/neupy,https://github.com/itdxer/neupy,MIT,2015-08-24 19:45:11.000000,2021-03-18 20:44:32.000000,2019-09-02 19:02:38.000000,149,26.0,232.0,682,1145.0,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,6.0,22,False,2019-04-04 19:44:59.000000,0.8.2,34.0,neupy,,,,,122.0,111.0,https://pypi.org/project/neupy,2019-04-04 19:43:06.000000,11.0,1858.0,1858.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n516,torch-scatter,rusty1s/pytorch_scatter,,pytorch-utils,https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23.000000,2021-05-30 09:05:21.000000,2021-05-30 09:05:18.000000,77,69.0,128.0,672,829.0,PyTorch Extension Library of Optimized Scatter Operations.,15.0,22,True,2021-03-03 06:21:28.000000,2.0.6,26.0,torch-scatter,,,,['pytorch'],32.0,,https://pypi.org/project/torch-scatter,2021-03-03 06:21:28.000000,32.0,26355.0,26355.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n517,TreeInterpreter,andosa/treeinterpreter,,interpretability,https://github.com/andosa/treeinterpreter,https://github.com/andosa/treeinterpreter,BSD-3-Clause,2015-08-02 20:26:21.000000,2021-02-28 18:33:06.000000,2021-02-28 18:33:06.000000,132,24.0,4.0,662,37.0,Package for interpreting scikit-learn's decision tree and random forest predictions.,11.0,22,True,2021-01-10 20:12:39.000000,0.2.3,5.0,treeinterpreter,,,,['sklearn'],158.0,140.0,https://pypi.org/project/treeinterpreter,2021-01-10 20:12:39.000000,18.0,171064.0,171064.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n518,Prince,MaxHalford/prince,,others,https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000000,2021-04-15 19:05:12.000000,2021-01-11 21:14:58.000000,120,30.0,66.0,641,179.0,\"Python factor analysis library (PCA, CA, MCA, MFA, FAMD).\",9.0,22,True,2020-10-06 11:26:47.000000,0.7.1,41.0,prince,,,,['sklearn'],126.0,120.0,https://pypi.org/project/prince,2020-10-06 11:26:47.000000,6.0,11169.0,11169.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n519,lets-plot,JetBrains/lets-plot,,data-viz,https://github.com/JetBrains/lets-plot,https://github.com/JetBrains/lets-plot,MIT,2019-03-20 16:13:03.000000,2021-06-02 19:26:43.000000,2021-06-02 17:48:58.000000,23,72.0,98.0,624,1978.0,An open-source plotting library for statistical data.,15.0,22,True,2021-06-02 19:48:08.000000,2.0.3,35.0,lets-plot,,,,,10.0,10.0,https://pypi.org/project/lets-plot,2021-06-02 19:26:43.000000,0.0,4309.0,4312.0,,,,,,,,3.0,67.0,2.0,,,,,,,,,,,,,,,,,,,,\n520,Guild AI,guildai/guildai,,ml-experiments,https://github.com/guildai/guildai,https://github.com/guildai/guildai,Apache-2.0,2017-09-27 18:57:50.000000,2021-05-07 19:01:23.000000,2021-05-07 19:01:13.000000,43,103.0,168.0,593,4531.0,\"Experiment tracking, ML developer tools.\",16.0,22,True,2021-03-25 22:43:31.000000,0.7.3,170.0,guildai,,,,,30.0,30.0,https://pypi.org/project/guildai,2021-04-12 20:27:53.000000,,2171.0,2171.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n521,Mapbox GL,mapbox/mapboxgl-jupyter,,geospatial-data,https://github.com/mapbox/mapboxgl-jupyter,https://github.com/mapbox/mapboxgl-jupyter,MIT,2017-08-08 15:10:51.000000,2021-05-31 23:04:25.000000,2021-04-19 05:00:36.000000,121,35.0,67.0,568,221.0,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,21.0,22,True,2019-06-03 21:24:10.000000,0.10.2,20.0,mapboxgl,,,,['jupyter'],121.0,103.0,https://pypi.org/project/mapboxgl,2019-06-02 15:18:57.000000,18.0,4710.0,4710.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n522,explainerdashboard,oegedijk/explainerdashboard,,interpretability,https://github.com/oegedijk/explainerdashboard,https://github.com/oegedijk/explainerdashboard,MIT,2019-10-30 08:26:16.000000,2021-05-19 14:39:13.000000,2021-05-19 14:39:03.000000,66,5.0,91.0,541,1194.0,Quickly build Explainable AI dashboards that show the inner workings of so-called blackbox machine learning models.,10.0,22,True,2021-05-07 11:11:58.000000,0.3.5,75.0,explainerdashboard,,,,,24.0,24.0,https://pypi.org/project/explainerdashboard,2021-05-07 11:11:58.000000,,3978.0,3978.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n523,tinytag,devsnd/tinytag,,audio,https://github.com/devsnd/tinytag,https://github.com/devsnd/tinytag,MIT,2014-01-27 15:27:01.000000,2021-05-27 15:07:46.000000,2021-05-23 16:32:48.000000,82,16.0,66.0,460,321.0,\"Read music meta data and length of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA and Wave files with python 2 or 3.\",20.0,22,True,2020-11-05 12:44:52.000000,1.5.0,33.0,tinytag,,,,,465.0,369.0,https://pypi.org/project/tinytag,2020-11-05 12:44:52.000000,96.0,6213.0,6213.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n524,random-forest-importances,parrt/random-forest-importances,,interpretability,https://github.com/parrt/random-forest-importances,https://github.com/parrt/random-forest-importances,MIT,2018-03-22 19:20:13.000000,2021-01-30 21:50:08.000000,2021-01-30 21:50:02.000000,96,4.0,27.0,444,249.0,Code to compute permutation and drop-column importances in Python scikit-learn models.,14.0,22,True,2021-01-28 23:23:17.000000,1.3.7,22.0,rfpimp,,,,['sklearn'],74.0,70.0,https://pypi.org/project/rfpimp,2021-01-28 23:19:33.000000,4.0,16212.0,16212.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n525,SDV,sdv-dev/SDV,,data-loading,https://github.com/sdv-dev/SDV,https://github.com/sdv-dev/SDV,MIT,2018-05-11 15:56:50.000000,2021-06-01 14:39:36.000000,2021-06-01 14:39:35.000000,78,92.0,181.0,428,843.0,\"Synthetic Data Generation for tabular, relational and time series data.\",35.0,22,True,2021-05-21 21:23:11.000000,0.10.0,49.0,sdv,,,,,25.0,25.0,https://pypi.org/project/sdv,2021-05-21 21:21:44.000000,0.0,4268.0,4268.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n526,PyTorch Sparse,rusty1s/pytorch_sparse,,pytorch-utils,https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53.000000,2021-05-12 12:25:33.000000,2021-05-12 12:25:30.000000,55,48.0,64.0,413,537.0,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,15.0,22,True,2021-03-03 15:26:45.000000,0.6.9,21.0,torch-sparse,,,,['pytorch'],34.0,,https://pypi.org/project/torch-sparse,2020-11-02 10:43:20.000000,34.0,15428.0,15428.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n527,torch-cluster,rusty1s/pytorch_cluster,,graph,https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06.000000,2021-05-12 12:25:43.000000,2021-05-12 12:25:40.000000,74,40.0,41.0,382,523.0,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,18.0,22,True,2021-03-01 13:58:47.000000,1.5.9,39.0,torch-cluster,,,,['pytorch'],32.0,,https://pypi.org/project/torch-cluster,2021-03-01 12:28:43.000000,32.0,11492.0,11492.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n528,lazypredict,shankarpandala/lazypredict,,hyperopt,https://github.com/shankarpandala/lazypredict,https://github.com/shankarpandala/lazypredict,MIT,2019-11-16 09:56:35.000000,2021-05-14 13:54:38.000000,2021-04-10 02:37:59.000000,84,18.0,30.0,380,195.0,Lazy Predict help build a lot of basic models without much code and helps understand which models works better without..,12.0,22,True,2021-02-17 15:38:45.000000,0.2.9,11.0,lazypredict,,,,['sklearn'],91.0,91.0,https://pypi.org/project/lazypredict,2021-02-17 15:38:45.000000,,6810.0,6810.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n529,messytables,okfn/messytables,,data-loading,https://github.com/okfn/messytables,https://github.com/okfn/messytables,MIT,2011-07-27 18:08:21.000000,2021-03-31 18:37:21.000000,2019-11-13 07:35:33.000000,101,34.0,55.0,367,601.0,Tools for parsing messy tabular data. This is now superseded by https://github.com/frictionlessdata/tabulator-py.,44.0,22,False,2017-02-09 12:37:47.000000,0.15.2,26.0,messytables,,,,,431.0,199.0,https://pypi.org/project/messytables,2017-02-09 12:37:47.000000,232.0,8050.0,8050.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n530,pyvips,libvips/pyvips,,image,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000000,2021-03-19 19:33:38.000000,2021-02-24 09:49:23.000000,26,78.0,146.0,323,392.0,python binding for libvips using cffi.,10.0,22,True,2020-12-18 11:44:57.000000,2.1.14,20.0,pyvips,conda-forge/pyvips,,,,209.0,187.0,https://pypi.org/project/pyvips,2020-12-18 11:44:57.000000,22.0,9942.0,10352.0,https://anaconda.org/conda-forge/pyvips,2020-10-14 10:02:33.542000,9040.0,,,,,3.0,,-2.0,,,,,,,,,,,,,,,,,,,,\n531,scikit-rebate,EpistasisLab/scikit-rebate,,others,https://github.com/EpistasisLab/scikit-rebate,https://github.com/EpistasisLab/scikit-rebate,MIT,2016-09-19 13:36:17.000000,2021-05-18 21:20:09.000000,2021-02-15 17:10:59.000000,58,13.0,19.0,318,283.0,\"A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for..\",13.0,22,True,2017-04-12 16:12:01.000000,0.3.4,13.0,skrebate,,,,['sklearn'],197.0,135.0,https://pypi.org/project/skrebate,2021-03-20 17:11:52.000000,62.0,2108.0,2108.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n532,vega,vega/ipyvega,,data-viz,https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000000,2021-06-02 21:19:58.000000,2021-06-02 21:19:52.000000,44,9.0,79.0,307,506.0,IPython/Jupyter notebook module for Vega and Vega-Lite.,10.0,22,True,2020-05-15 23:40:02.000000,3.4.0,37.0,vega,conda-forge/vega,,,['jupyter'],148.0,,https://pypi.org/project/vega,2020-05-15 23:40:02.000000,148.0,28708.0,35759.0,https://anaconda.org/conda-forge/vega,2020-12-10 15:03:57.175000,423064.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n533,NIPY,nipy/nipy,,medical-data,https://github.com/nipy/nipy,https://github.com/nipy/nipy,BSD-3-Clause,2010-05-02 10:00:33.000000,2021-03-30 10:02:24.000000,2021-03-29 16:56:48.000000,123,43.0,110.0,297,6427.0,Neuroimaging in Python FMRI analysis package.,63.0,22,True,2018-02-19 14:14:08.000000,0.4.2,6.0,nipy,conda-forge/nipy,,,,82.0,,https://pypi.org/project/nipy,2018-02-19 14:14:08.000000,82.0,1322.0,3039.0,https://anaconda.org/conda-forge/nipy,2020-05-04 19:38:04.112000,80723.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n534,datatest,shawnbrown/datatest,,data-loading,https://github.com/shawnbrown/datatest,https://github.com/shawnbrown/datatest,Apache-2.0,2016-05-12 13:16:27.000000,2021-04-26 17:46:21.000000,2021-04-26 17:45:53.000000,12,10.0,42.0,240,2171.0,Tools for test driven data-wrangling and data validation.,6.0,22,True,2021-01-04 03:43:58.000000,0.11.1,17.0,datatest,,,,,38.0,36.0,https://pypi.org/project/datatest,2021-01-04 03:39:40.000000,2.0,9919.0,9919.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n535,py3nvml,fbcotter/py3nvml,,gpu-utilities,https://github.com/fbcotter/py3nvml,https://github.com/fbcotter/py3nvml,BSD-3-Clause,2016-11-21 01:07:37.000000,2020-10-10 10:41:08.987000,2020-04-23 06:54:42.000000,24,1.0,10.0,178,79.0,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,6.0,22,False,2020-04-06 16:02:10.000000,0.2.6,13.0,py3nvml,conda-forge/py3nvml,,,,300.0,280.0,https://pypi.org/project/py3nvml,2020-04-06 16:02:10.000000,20.0,86894.0,87930.0,https://anaconda.org/conda-forge/py3nvml,2020-10-10 10:41:08.987000,17614.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n536,stop-words,Alir3z4/python-stop-words,,nlp,https://github.com/Alir3z4/python-stop-words,https://github.com/Alir3z4/python-stop-words,BSD-3-Clause,2014-05-26 06:44:03.000000,2019-10-16 15:01:43.000000,2018-07-23 21:04:09.000000,23,3.0,9.0,128,90.0,Get list of common stop words in various languages in Python.,8.0,22,False,2018-07-23 20:58:34.000000,2018.7.23,8.0,stop-words,,,,,1476.0,1218.0,https://pypi.org/project/stop-words,2018-07-23 20:55:55.000000,258.0,93592.0,93592.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n537,pyexcel-xlsx,pyexcel/pyexcel-xlsx,,data-loading,https://github.com/pyexcel/pyexcel-xlsx,https://github.com/pyexcel/pyexcel-xlsx,BSD-3-Clause,2014-12-02 00:03:24.000000,2020-11-28 22:30:58.000000,2020-11-28 22:30:53.000000,16,12.0,20.0,88,267.0,\"A wrapper library to read, manipulate and write data in xlsx and xlsm format using openpyxl.\",4.0,22,False,2020-10-10 13:13:32.000000,0.6.0,30.0,pyexcel-xlsx,conda-forge/pyexcel-xlsx,,,,1524.0,1214.0,https://pypi.org/project/pyexcel-xlsx,2020-10-10 13:13:32.000000,310.0,81825.0,82200.0,https://anaconda.org/conda-forge/pyexcel-xlsx,2020-10-10 15:53:49.660000,16514.0,,,,,3.0,46.0,,,,,,,,,,,,,,,,,,,,,\n538,PyStan,stan-dev/pystan,,probabilistics,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,ISC,2017-03-06 19:56:42.094000,2021-06-03 10:18:34.000000,2021-06-03 10:18:34.000000,18,13.0,129.0,87,,\"PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io.\",8.0,22,False,2021-06-03 10:17:59.000000,3.2.0,64.0,pystan,conda-forge/pystan,,,,342.0,,https://pypi.org/project/pystan,2021-06-03 10:17:59.000000,342.0,1351542.0,1371628.0,https://anaconda.org/conda-forge/pystan,2021-05-12 13:39:30.313000,1024417.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n539,Qlib,microsoft/qlib,,financial-data,https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000000,2021-06-03 07:55:11.000000,2021-06-03 07:55:11.000000,814,110.0,148.0,5039,,\"Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research,..\",43.0,21,True,2021-02-02 09:29:47.000000,0.6.2,16.0,pyqlib,,,,['pytorch'],3.0,3.0,https://pypi.org/project/pyqlib,2021-02-02 09:29:47.000000,,3407.0,3432.0,,,,,,,,3.0,229.0,,,,,,,,,,,,,,,,,,,,,\n540,vit-pytorch,lucidrains/vit-pytorch,,image,https://github.com/lucidrains/vit-pytorch,https://github.com/lucidrains/vit-pytorch,MIT,2020-10-03 22:47:24.000000,2021-06-01 14:33:40.000000,2021-06-01 14:33:00.000000,539,46.0,64.0,4506,,\"Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single..\",8.0,21,True,2021-06-01 14:33:40.000000,0.19.3,80.0,vit-pytorch,,,,['pytorch'],19.0,19.0,https://pypi.org/project/vit-pytorch,2021-06-01 14:33:40.000000,,3581.0,3581.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n541,MMF,facebookresearch/mmf,,image,https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40.000000,2021-06-03 06:51:02.000000,2021-06-03 06:46:37.000000,684,144.0,382.0,4424,884.0,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,65.0,21,True,2019-08-26 19:04:21.000000,0.3.1,12.0,mmf,,,,['pytorch'],7.0,7.0,https://pypi.org/project/mmf,2020-06-12 22:15:02.000000,0.0,186.0,186.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n542,mace,XiaoMi/mace,,ml-frameworks,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12.000000,2021-06-03 08:22:43.000000,2021-06-03 06:32:07.000000,768,41.0,602.0,4396,3181.0,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,61.0,21,True,2021-03-18 10:07:32.000000,1.0.4,11.0,,,,,,,,,,,,39.0,,,,,,,,3.0,1350.0,,,,,,,,,,,,,,,,,,,,,\n543,Image Deduplicator,idealo/imagededup,,image,https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54.000000,2021-03-16 10:25:33.000000,2020-11-23 17:40:40.000000,300,20.0,57.0,3612,460.0,Finding duplicate images made easy!.,9.0,21,True,2020-11-23 17:55:24.000000,0.2.4,9.0,imagededup,,,,['tensorflow'],14.0,12.0,https://pypi.org/project/imagededup,2020-11-22 21:09:36.000000,2.0,4795.0,4795.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n544,TRFL,deepmind/trfl,,reinforcement-learning,https://github.com/deepmind/trfl,https://github.com/deepmind/trfl,Apache-2.0,2018-08-08 14:44:11.000000,2020-11-06 04:44:44.000000,2020-04-20 13:05:56.000000,372,6.0,16.0,3064,116.0,TensorFlow Reinforcement Learning.,12.0,21,False,2020-04-20 14:11:57.000000,1.1.0,4.0,trfl,,,,['tensorflow'],50.0,48.0,https://pypi.org/project/trfl,2020-04-20 14:11:57.000000,2.0,1592.0,1592.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n545,Hummingbird,microsoft/hummingbird,,model-serialisation,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000000,2021-06-02 22:58:26.000000,2021-05-19 02:30:21.000000,176,53.0,160.0,2426,,Hummingbird compiles trained ML models into tensor computation for faster inference.,20.0,21,True,2021-04-24 17:19:04.000000,0.3.1,12.0,hummingbird-ml,,,,,15.0,15.0,https://pypi.org/project/hummingbird-ml,2021-04-13 00:20:31.000000,,2499.0,2508.0,,,,,,,,3.0,117.0,,,,,,,,,,,,,,,,,,,,,\n546,Mars,mars-project/mars,,others,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03.000000,2021-06-03 13:05:58.000000,2021-06-02 09:19:27.000000,250,122.0,690.0,2128,800.0,\"Mars is a tensor-based unified framework for large-scale data computation which scales Numpy, pandas, Scikit-learn and..\",20.0,21,True,2021-04-11 08:20:27.000000,0.6.8,81.0,pymars,,,,,5.0,5.0,https://pypi.org/project/pymars,2021-04-11 08:41:06.000000,0.0,527.0,527.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n547,PARL,PaddlePaddle/PARL,,reinforcement-learning,https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22.000000,2021-06-03 10:52:04.000000,2021-06-03 09:26:24.000000,494,56.0,175.0,2018,1.0,A high-performance distributed training framework for Reinforcement Learning.,25.0,21,True,2021-06-03 09:31:59.000000,2.0.0,20.0,parl,,,,['paddle'],72.0,72.0,https://pypi.org/project/parl,2021-06-03 09:27:53.000000,,584.0,584.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n548,cleanlab,cgnorthcutt/cleanlab,,others,https://github.com/cgnorthcutt/cleanlab,https://github.com/cgnorthcutt/cleanlab,GPL-3.0,2018-05-11 01:55:21.000000,2021-05-05 17:40:49.000000,2021-05-05 17:40:45.000000,187,19.0,42.0,1958,791.0,The standard package for machine learning with noisy labels and finding mislabeled data. Works with most datasets and..,6.0,21,False,2021-04-18 19:52:49.000000,1.0,15.0,cleanlab,,,,,15.0,15.0,https://pypi.org/project/cleanlab,2020-02-17 07:33:06.000000,,5029.0,5029.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n549,STUMPY,TDAmeritrade/stumpy,,time-series-data,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000000,2021-06-03 08:09:13.000000,2021-06-03 03:13:55.000000,169,26.0,210.0,1797,,\"STUMPY is a powerful and scalable Python library for computing a Matrix Profile, which can be used for a variety of..\",22.0,21,True,2021-02-04 19:05:43.000000,1.8.0,19.0,stumpy,conda-forge/stumpy,,,,0.0,,https://pypi.org/project/stumpy,2021-02-04 19:05:43.000000,0.0,40373.0,41258.0,https://anaconda.org/conda-forge/stumpy,2021-02-05 23:28:08.904000,22128.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n550,Sweetviz,fbdesignpro/sweetviz,,data-viz,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47.000000,2021-05-28 14:19:52.000000,2021-05-28 12:53:42.000000,167,22.0,59.0,1596,101.0,\"Visualize and compare datasets, target values and associations, with one line of code.\",6.0,21,True,2021-05-28 14:19:52.000000,2.1.2,30.0,sweetviz,,,,,0.0,,https://pypi.org/project/sweetviz,2021-05-27 19:27:40.000000,0.0,30323.0,30323.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n551,lore,instacart/lore,,ml-experiments,https://github.com/instacart/lore,https://github.com/instacart/lore,MIT,2017-10-19 21:51:45.000000,2021-05-26 18:44:09.000000,2020-05-11 22:26:45.000000,119,16.0,18.0,1515,270.0,Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers.,22.0,21,False,2020-05-11 22:28:23.000000,0.8.4,231.0,lore,,,,,17.0,16.0,https://pypi.org/project/lore,2020-05-11 22:28:23.000000,1.0,531.0,531.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n552,Higher,facebookresearch/higher,,pytorch-utils,https://github.com/facebookresearch/higher,https://github.com/facebookresearch/higher,Apache-2.0,2019-09-06 18:58:36.000000,2021-03-02 09:56:03.000000,2021-03-02 09:56:03.000000,84,34.0,48.0,1144,29.0,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,8.0,21,True,2020-07-14 12:20:32.000000,0.2.1,2.0,higher,,,,['pytorch'],56.0,56.0,https://pypi.org/project/higher,2020-07-14 12:20:32.000000,0.0,26283.0,26283.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n553,CausalNex,quantumblacklabs/causalnex,,interpretability,https://github.com/quantumblacklabs/causalnex,https://github.com/quantumblacklabs/causalnex,Apache-2.0,2019-12-12 15:26:09.000000,2021-05-11 18:43:42.000000,2021-05-11 18:43:42.000000,121,35.0,44.0,1136,117.0,A Python library that helps data scientists to infer causation rather than observing correlation.,18.0,21,True,2021-05-11 18:35:56.000000,0.10.0,15.0,causalnex,,,,\"['pytorch', 'sklearn']\",13.0,13.0,https://pypi.org/project/causalnex,2021-05-11 18:35:56.000000,,2873.0,2873.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n554,Haiku,deepmind/dm-haiku,,ml-frameworks,https://github.com/deepmind/dm-haiku,https://github.com/deepmind/dm-haiku,Apache-2.0,2020-02-18 07:14:02.000000,2021-06-03 14:12:57.000000,2021-06-03 13:40:15.000000,78,20.0,68.0,1127,553.0,JAX-based neural network library.,41.0,21,True,2021-04-12 13:12:13.000000,0.0.4,6.0,,,,,,98.0,98.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n555,TabNet,dreamquark-ai/tabnet,,pytorch-utils,https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000000,2021-05-27 13:41:59.000000,2021-05-27 09:32:27.000000,201,35.0,123.0,1032,168.0,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,18.0,21,True,2021-02-02 08:05:11.000000,3.1.1,17.0,pytorch-tabnet,,,,['pytorch'],0.0,,https://pypi.org/project/pytorch-tabnet,2021-02-02 08:05:11.000000,0.0,11308.0,11308.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n556,RecBole,RUCAIBox/RecBole,,recommender-systems,https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000000,2021-05-14 08:00:21.000000,2021-05-14 08:00:21.000000,160,28.0,98.0,1020,2992.0,\"A unified, comprehensive and efficient recommendation library.\",40.0,21,True,2021-04-06 09:53:37.000000,0.2.1,5.0,recbole,aibox/recbole,,,['pytorch'],,,https://pypi.org/project/recbole,2021-03-22 14:22:38.000000,,689.0,751.0,https://anaconda.org/aibox/recbole,2021-03-22 14:53:52.593000,438.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n557,luminol,linkedin/luminol,,time-series-data,https://github.com/linkedin/luminol,https://github.com/linkedin/luminol,Apache-2.0,2015-11-18 23:16:33.000000,2020-12-27 09:54:35.000000,2018-01-09 07:46:55.000000,188,31.0,12.0,931,69.0,Anomaly Detection and Correlation library.,8.0,21,False,2016-01-20 01:01:44.000000,0.3.1,5.0,luminol,,,,,67.0,39.0,https://pypi.org/project/luminol,2017-12-11 06:04:15.000000,28.0,40855.0,40855.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n558,geoplotlib,andrea-cuttone/geoplotlib,,geospatial-data,https://github.com/andrea-cuttone/geoplotlib,https://github.com/andrea-cuttone/geoplotlib,MIT,2015-02-24 13:13:07.000000,2020-04-10 20:00:31.000000,2019-05-06 07:06:50.000000,155,30.0,18.0,915,159.0,python toolbox for visualizing geographical data and making maps.,8.0,21,False,2016-07-27 14:55:01.000000,0.3.2,4.0,geoplotlib,,,,,113.0,102.0,https://pypi.org/project/geoplotlib,2016-07-27 14:55:01.000000,11.0,1831.0,1831.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n559,Darts,unit8co/darts,,time-series-data,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000000,2021-06-03 15:05:22.000000,2021-05-22 11:02:38.000000,118,21.0,72.0,889,369.0,A python library for easy manipulation and forecasting of time series.,29.0,21,True,2021-05-22 11:18:25.000000,0.8.1,13.0,u8darts,,unit8/darts,,,5.0,5.0,https://pypi.org/project/u8darts,2021-05-22 11:18:25.000000,0.0,1530.0,1533.0,,,,https://hub.docker.com/r/unit8/darts,2021-05-22 11:13:37.525957,,129.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n560,TFEncrypted,tf-encrypted/tf-encrypted,,privacy-ml,https://github.com/tf-encrypted/tf-encrypted,https://github.com/tf-encrypted/tf-encrypted,Apache-2.0,2018-03-21 18:22:13.000000,2021-04-21 08:39:31.000000,2020-08-19 16:56:56.000000,144,168.0,232.0,878,595.0,A Framework for Encrypted Machine Learning in TensorFlow.,28.0,21,True,2019-09-27 20:00:01.000000,0.5.9,35.0,tf-encrypted,,,,['tensorflow'],68.0,52.0,https://pypi.org/project/tf-encrypted,2019-10-21 18:05:53.000000,16.0,478.0,478.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n561,TF Recommenders,tensorflow/recommenders,,recommender-systems,https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01.000000,2021-06-02 15:27:16.000000,2021-05-24 22:06:11.000000,108,68.0,71.0,861,,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,22.0,21,True,2021-05-17 16:37:44.000000,0.5.1,10.0,tensorflow-recommenders,,,,['tensorflow'],23.0,23.0,https://pypi.org/project/tensorflow-recommenders,2021-05-17 16:37:44.000000,,34048.0,34048.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n562,iNNvestigate,albermax/innvestigate,,interpretability,https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20.000000,2021-05-12 12:32:06.000000,2020-10-16 15:26:56.000000,181,73.0,138.0,823,882.0,A toolbox to iNNvestigate neural networks' predictions!.,18.0,21,True,2020-11-14 11:35:59.000000,1.0.9,2.0,innvestigate,,,,['tensorflow'],59.0,58.0,https://pypi.org/project/innvestigate,2020-11-14 11:35:59.000000,1.0,508.0,508.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n563,rows,turicas/rows,,data-loading,https://github.com/turicas/rows,https://github.com/turicas/rows,LGPL-3.0,2014-05-07 05:43:11.000000,2021-05-22 20:26:25.000000,2021-05-22 20:26:09.000000,136,160.0,149.0,752,738.0,\"A common, beautiful interface to tabular data, no matter the format.\",30.0,21,False,2019-02-14 21:20:15.000000,0.4.1,9.0,rows,,,,,174.0,122.0,https://pypi.org/project/rows,2019-02-14 21:12:03.000000,52.0,2748.0,2748.0,,,,,,,,3.0,37.0,,,,,,,,,,,,,,,,,,,,,\n564,kapre,keunwoochoi/kapre,,audio,https://github.com/keunwoochoi/kapre,https://github.com/keunwoochoi/kapre,MIT,2016-12-14 18:36:36.000000,2021-03-25 21:02:49.000000,2021-03-25 21:02:44.000000,129,8.0,80.0,739,190.0,kapre: Keras Audio Preprocessors.,13.0,21,True,2021-03-18 22:14:02.000000,Kapre-0.3.5,21.0,kapre,,,,['tensorflow'],834.0,812.0,https://pypi.org/project/kapre,2020-09-29 18:49:13.000000,22.0,1977.0,1977.0,,,,,,,,3.0,11.0,,,,,,,,,,,,,,,,,,,,,\n565,alibi-detect,SeldonIO/alibi-detect,,others,https://github.com/SeldonIO/alibi-detect,https://github.com/SeldonIO/alibi-detect,Apache-2.0,2019-10-07 13:29:13.000000,2021-06-03 15:11:23.000000,2021-05-21 10:47:26.000000,71,58.0,69.0,704,352.0,\"Algorithms for outlier, adversarial and drift detection.\",8.0,21,True,2021-05-06 12:39:19.000000,0.6.2,14.0,alibi-detect,,,,,24.0,23.0,https://pypi.org/project/alibi-detect,2021-05-06 12:37:36.000000,1.0,6719.0,6719.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n566,Satpy,pytroll/satpy,,geospatial-data,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000000,2021-06-03 00:42:31.000000,2021-06-02 13:08:56.000000,200,311.0,360.0,703,,Python package for earth-observing satellite data processing.,108.0,21,False,2021-05-19 00:32:06.000000,0.28.1,67.0,satpy,conda-forge/satpy,,,,48.0,42.0,https://pypi.org/project/satpy,2021-05-19 00:32:06.000000,6.0,1252.0,3062.0,https://anaconda.org/conda-forge/satpy,2021-05-19 09:22:02.647000,63382.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n567,TensorBoard Logger,TeamHG-Memex/tensorboard_logger,,ml-experiments,https://github.com/TeamHG-Memex/tensorboard_logger,https://github.com/TeamHG-Memex/tensorboard_logger,MIT,2016-10-27 14:02:25.000000,2021-03-25 21:30:56.000000,2019-10-21 07:52:07.000000,52,9.0,15.0,612,46.0,Log TensorBoard events without touching TensorFlow.,5.0,21,False,2018-02-08 07:28:51.000000,0.1.0,5.0,tensorboard_logger,,,,,96.0,,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51.000000,96.0,67120.0,67120.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n568,Objax,google/objax,,ml-frameworks,https://github.com/google/objax,https://github.com/google/objax,Apache-2.0,2020-08-20 06:20:40.000000,2021-05-12 21:26:27.000000,2021-04-21 22:04:16.000000,47,40.0,53.0,602,411.0,Objax is a machine learning framework that provides an Object Oriented layer for JAX.,20.0,21,True,2021-04-01 00:14:18.000000,1.4.0,7.0,objax,,,,['jax'],13.0,13.0,https://pypi.org/project/objax,2021-04-01 00:02:37.000000,0.0,6673.0,6673.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n569,pickleDB,patx/pickledb,,data-containers,https://github.com/patx/pickledb,https://github.com/patx/pickledb,BSD-3-Clause,2011-10-28 00:04:40.000000,2021-03-23 21:52:22.000000,2019-11-15 03:38:30.000000,96,22.0,39.0,565,105.0,pickleDB is an open source key-value store using Python's json module.,11.0,21,False,2019-01-14 18:48:25.000000,0.9.2,20.0,pickledb,,,,,726.0,614.0,https://pypi.org/project/pickledb,2019-01-14 18:48:25.000000,112.0,8201.0,8201.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n570,combo,yzhao062/combo,,sklearn-utils,https://github.com/yzhao062/combo,https://github.com/yzhao062/combo,BSD-2-Clause,2019-07-14 01:13:36.000000,2021-03-29 00:05:33.000000,2021-03-15 01:39:54.000000,84,9.0,3.0,498,202.0,(AAAI' 20) A Python Toolbox for Machine Learning Model Combination.,1.0,21,True,2020-12-23 02:21:49.000000,0.1.2,12.0,combo,,,,\"['sklearn', 'xgboost']\",351.0,351.0,https://pypi.org/project/combo,2020-12-23 02:21:49.000000,0.0,30081.0,30081.0,,,,,,,,3.0,,-2.0,,,,,,,,,,,,,,,,,,,,\n571,Caer,jasmcaus/caer,,image,https://github.com/jasmcaus/caer,https://github.com/jasmcaus/caer,MIT,2020-08-06 18:36:14.000000,2021-05-31 04:47:50.000000,2021-05-29 03:10:28.000000,83,3.0,10.0,496,4941.0,\"A lightweight Computer Vision library. Scale your models, not boilerplate.\",6.0,21,True,2021-01-28 14:06:10.000000,1.9.8,109.0,caer,,,https://caer.rtfd.io,,0.0,,https://pypi.org/project/caer,2021-01-28 14:06:10.000000,0.0,10141.0,10142.0,,,,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,,,,\n572,pivottablejs,nicolaskruchten/jupyter_pivottablejs,,data-viz,https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,MIT,2015-09-09 13:39:18.000000,2018-12-04 14:43:26.000000,2018-12-04 14:43:25.000000,58,16.0,37.0,434,32.0,\"Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js.\",3.0,21,False,2018-01-15 18:14:37.000000,0.9.0,10.0,pivottablejs,,,,['jupyter'],205.0,171.0,https://pypi.org/project/pivottablejs,2018-01-15 18:14:37.000000,34.0,10584.0,10584.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n573,Neuraxle,Neuraxio/Neuraxle,,hyperopt,https://github.com/Neuraxio/Neuraxle,https://github.com/Neuraxio/Neuraxle,Apache-2.0,2019-03-26 21:01:54.000000,2021-05-27 16:04:25.000000,2021-05-14 16:02:09.000000,46,135.0,158.0,420,1502.0,A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right..,7.0,21,True,2021-02-25 16:05:06.000000,0.5.7,20.0,neuraxle,,,,,18.0,18.0,https://pypi.org/project/neuraxle,2021-02-25 16:00:44.000000,0.0,459.0,459.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n574,Submit it,facebookincubator/submitit,,distributed-ml,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09.000000,2021-06-03 13:57:08.000000,2021-05-12 08:39:52.000000,28,16.0,23.0,392,61.0,Python 3.6+ toolbox for submitting jobs to Slurm.,13.0,21,True,2021-04-08 08:01:58.000000,1.3.2,13.0,submitit,conda-forge/submitit,,,,148.0,148.0,https://pypi.org/project/submitit,2021-04-08 08:01:58.000000,0.0,4745.0,5028.0,https://anaconda.org/conda-forge/submitit,2021-02-10 12:48:57.745000,2836.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n575,aequitas,dssg/aequitas,,interpretability,https://github.com/dssg/aequitas,https://github.com/dssg/aequitas,MIT,2018-02-13 19:40:30.000000,2021-06-02 21:47:23.000000,2021-05-27 09:45:10.000000,75,35.0,21.0,388,857.0,Bias and Fairness Audit Toolkit.,16.0,21,True,2020-12-16 11:48:14.000000,0.42.0,16.0,aequitas,,,,,81.0,75.0,https://pypi.org/project/aequitas,2020-12-16 11:48:14.000000,6.0,1360.0,1360.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n576,Studio.ml,studioml/studio,,ml-experiments,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28.000000,2021-05-30 21:35:06.000000,2021-05-30 21:26:54.000000,52,56.0,194.0,373,2393.0,Studio: Simplify and expedite model building process.,21.0,21,True,2021-05-30 21:35:06.000000,0.0.47,203.0,studioml,,,,,4.0,4.0,https://pypi.org/project/studioml,2021-05-30 21:35:06.000000,,1063.0,1063.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n577,optunity,claesenm/optunity,,hyperopt,https://github.com/claesenm/optunity,https://github.com/claesenm/optunity,BSD-3-Clause,2014-05-28 17:29:11.000000,2020-05-11 14:32:39.000000,2020-05-11 14:32:38.000000,73,46.0,48.0,370,782.0,optimization routines for hyperparameter tuning.,9.0,21,False,2015-09-30 05:02:00.000000,1.1.1,6.0,optunity,,,,,84.0,60.0,https://pypi.org/project/optunity,2015-09-30 05:02:00.000000,24.0,14119.0,14119.0,,,,,,,,3.0,64.0,,,,,,,,,,,,,,,,,,,,,\n578,Pandas Summary,mouradmourafiq/pandas-summary,,data-containers,https://github.com/mouradmourafiq/pandas-summary,https://github.com/mouradmourafiq/pandas-summary,MIT,2016-03-25 21:59:32.000000,2019-08-24 21:10:25.000000,2019-08-24 21:10:24.000000,35,8.0,5.0,365,24.0,An extension to pandas dataframes describe function.,6.0,21,False,2016-08-30 07:54:59.000000,0.0.41,8.0,pandas-summary,,,,['pandas'],708.0,618.0,https://pypi.org/project/pandas-summary,2016-08-30 07:54:59.000000,90.0,28830.0,28830.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n579,DESlib,scikit-learn-contrib/DESlib,,sklearn-utils,https://github.com/scikit-learn-contrib/DESlib,https://github.com/scikit-learn-contrib/DESlib,BSD-3-Clause,2017-12-08 22:49:49.000000,2021-04-09 04:41:52.000000,2021-04-09 04:41:45.000000,73,14.0,127.0,336,272.0,A Python library for dynamic classifier and ensemble selection.,13.0,21,True,2021-02-08 06:29:25.000000,0.3.5,4.0,deslib,,,,['sklearn'],20.0,20.0,https://pypi.org/project/deslib,2021-02-08 06:29:25.000000,0.0,2049.0,2049.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n580,joypy,sbebo/joypy,,data-viz,https://github.com/sbebo/joypy,https://github.com/sbebo/joypy,MIT,2017-07-30 17:18:50.000000,2021-04-02 15:12:19.000000,2021-04-02 15:10:14.000000,35,5.0,36.0,334,110.0,Joyplots in Python with matplotlib & pandas.,5.0,21,True,2020-12-28 11:54:36.000000,0.2.4,16.0,joypy,conda-forge/joypy,,,,83.0,77.0,https://pypi.org/project/joypy,2020-12-28 11:54:36.000000,6.0,22215.0,22571.0,https://anaconda.org/conda-forge/joypy,2020-12-28 14:07:53.760000,9618.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n581,ploomber,ploomber/ploomber,,data-pipelines,https://github.com/ploomber/ploomber,https://github.com/ploomber/ploomber,Apache-2.0,2020-01-20 20:13:06.000000,2021-06-01 02:53:54.000000,2021-05-31 20:57:37.000000,4,45.0,253.0,295,1811.0,\"Lean Data Science workflows: develop and test locally. Deploy to Kubernetes, Airflow, or any web framework.\",4.0,21,True,2021-05-22 17:30:20.000000,0.10.4,44.0,ploomber,,,,,13.0,13.0,https://pypi.org/project/ploomber,2021-05-31 21:27:41.000000,0.0,2833.0,2833.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n582,SUOD,yzhao062/SUOD,,others,https://github.com/yzhao062/SUOD,https://github.com/yzhao062/SUOD,BSD-2-Clause,2019-11-20 00:23:54.000000,2021-01-19 14:42:08.000000,2021-01-19 14:42:01.000000,30,3.0,2.0,269,134.0,(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection).,1.0,21,True,2021-01-15 02:12:04.000000,0.0.6,7.0,suod,,,,,332.0,332.0,https://pypi.org/project/suod,2021-01-15 02:12:04.000000,,22489.0,22489.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n583,StaticFrame,InvestmentSystems/static-frame,,data-containers,https://github.com/InvestmentSystems/static-frame,https://github.com/InvestmentSystems/static-frame,MIT,2018-01-03 15:07:52.000000,2021-06-01 23:21:53.796000,2021-06-01 17:54:58.000000,22,27.0,272.0,229,2593.0,Immutable and grow-only Pandas-like DataFrames with a more explicit and consistent interface.,16.0,21,True,2021-06-01 18:12:43.000000,0.8.13,112.0,static-frame,conda-forge/static-frame,,,,6.0,6.0,https://pypi.org/project/static-frame,2021-06-01 18:10:17.000000,0.0,849.0,3972.0,https://anaconda.org/conda-forge/static-frame,2021-06-01 23:21:53.796000,87455.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n584,scikit-posthocs,maximtrp/scikit-posthocs,,probabilistics,https://github.com/maximtrp/scikit-posthocs,https://github.com/maximtrp/scikit-posthocs,MIT,2017-06-22 19:41:37.000000,2021-06-02 07:05:18.000000,2021-06-02 07:05:18.000000,22,4.0,37.0,204,457.0,Multiple Pairwise Comparisons (Post Hoc) Tests in Python.,8.0,21,True,2021-03-17 06:05:28.000000,0.6.7,21.0,scikit-posthocs,,,,['sklearn'],6.0,,https://pypi.org/project/scikit-posthocs,2021-03-15 16:05:51.000000,6.0,28455.0,28455.0,,,,,,,,3.0,19.0,,,,,,,,,,,,,,,,,,,,,\n585,openpyxl,,,data-loading,,https://openpyxl.readthedocs.io,MIT,2015-11-03 00:22:17.154000,2021-03-13 16:57:07.865000,,0,205.0,1483.0,20,,A Python library to read/write Excel 2010 xlsx/xlsm files.,,21,False,2021-03-10 19:38:02.000000,3.0.7,97.0,openpyxl,openpyxl,openpyxl/openpyxl-ci,https://openpyxl.readthedocs.io/en/stable/,,9770.0,,https://pypi.org/project/openpyxl,2021-03-09 19:13:10.000000,9770.0,12554159.0,12554925.0,https://anaconda.org/anaconda/openpyxl,2021-03-13 16:57:07.865000,50192.0,https://hub.docker.com/r/openpyxl/openpyxl-ci,2018-09-13 18:04:17.646261,,1183.0,3.0,,,,,,,,,0.0,,,,,,,,,,,,https://foss.heptapod.net/api/graphql::openpyxl/openpyxl,https://foss.heptapod.net/openpyxl/openpyxl\n586,Dejavu,worldveil/dejavu,,audio,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35.000000,2020-10-29 17:40:17.000000,2020-06-03 05:58:03.000000,1250,84.0,129.0,5434,146.0,Audio fingerprinting and recognition in Python.,23.0,20,True,2015-04-19 21:20:16.000000,0.1.3,4.0,PyDejavu,,,,,21.0,18.0,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16.000000,3.0,147.0,147.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n587,TTS,mozilla/TTS,,audio,https://github.com/mozilla/TTS,https://github.com/mozilla/TTS,MPL-2.0,2018-01-23 14:22:06.000000,2021-04-24 06:44:08.000000,2021-02-12 10:36:31.000000,769,37.0,461.0,4753,2184.0,Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts).,55.0,20,True,2021-01-29 00:03:56.000000,0.0.9,1.0,,,,,,,,,,,,135.0,,,,,,,,3.0,677.0,,,,,,,,,,,,,,,,,,,,,\n588,MindsDB,mindsdb/mindsdb,,ml-frameworks,https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,GPL-3.0,2018-08-02 17:56:45.000000,2021-06-02 15:09:12.000000,2021-05-28 17:26:04.000000,441,48.0,531.0,3747,,Predictive AI layer for existing databases.,56.0,20,False,2021-05-28 17:44:02.000000,2.34.0,49.0,mindsdb,,,,['pytorch'],6.0,,https://pypi.org/project/mindsdb,2019-03-19 05:07:23.000000,6.0,1158.0,1158.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n589,FATE,FederatedAI/FATE,,privacy-ml,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000000,2021-06-03 09:56:27.000000,2021-05-25 03:26:46.000000,901,300.0,565.0,3132,7605.0,An Industrial Grade Federated Learning Framework.,56.0,20,True,2021-03-31 14:56:10.000000,1.6.0,26.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n590,AdaBound,Luolc/AdaBound,,pytorch-utils,https://github.com/Luolc/AdaBound,https://github.com/Luolc/AdaBound,Apache-2.0,2019-02-15 18:05:20.000000,2019-03-06 17:01:52.000000,2019-03-06 17:01:45.000000,327,16.0,7.0,2850,27.0,An optimizer that trains as fast as Adam and as good as SGD.,2.0,20,False,2019-03-06 16:44:42.000000,0.0.5,4.0,adabound,,,,['pytorch'],125.0,113.0,https://pypi.org/project/adabound,2019-02-26 04:23:45.000000,12.0,2674.0,2674.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n591,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,,graph,https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16.000000,2021-05-31 08:30:34.000000,2021-05-03 14:30:03.000000,372,41.0,109.0,2791,144.0,Generate embeddings from large-scale graph-structured data.,21.0,20,True,2019-10-14 16:45:11.000000,1.0.0,3.0,torchbiggraph,,,,['pytorch'],4.0,,https://pypi.org/project/torchbiggraph,2019-05-01 21:31:13.000000,4.0,924.0,928.0,,,,,,,,3.0,113.0,,,,,,,,,,,,,,,,,,,,,\n592,NeMo,NVIDIA/NeMo,,nlp,https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000000,2021-06-03 08:23:34.000000,2021-06-02 20:02:40.000000,498,79.0,483.0,2738,,NeMo: a toolkit for conversational AI.,95.0,20,True,2020-07-10 00:01:18.000000,0.11.0,36.0,nemo-toolkit,,,,['pytorch'],4.0,,https://pypi.org/project/nemo-toolkit,2020-12-11 21:33:53.000000,4.0,5907.0,6021.0,,,,,,,,3.0,2397.0,,,,,,,,,,,,,,,,,,,,,\n593,NLP Architect,IntelLabs/nlp-architect,,nlp,https://github.com/IntelLabs/nlp-architect,https://github.com/IntelLabs/nlp-architect,Apache-2.0,2018-05-17 21:00:13.000000,2021-06-02 03:31:33.000000,2021-04-13 08:02:56.000000,400,16.0,110.0,2673,953.0,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,36.0,20,True,2020-11-17 12:32:37.000000,0.5.5.1,13.0,nlp-architect,,,,,8.0,8.0,https://pypi.org/project/nlp-architect,2020-04-12 11:34:38.000000,,454.0,454.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n594,dpark,douban/dpark,,data-pipelines,https://github.com/douban/dpark,https://github.com/douban/dpark,BSD-3-Clause,2012-04-11 08:35:06.000000,2020-12-25 10:36:06.000000,2020-12-25 10:36:05.000000,554,,60.0,2663,1467.0,\"Python clone of Spark, a MapReduce alike framework in Python.\",35.0,20,True,2018-07-27 04:11:36.000000,0.5.0,19.0,dpark,,,,['spark'],4.0,3.0,https://pypi.org/project/dpark,2018-07-27 04:11:36.000000,1.0,29.0,29.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n595,tf-quant-finance,google/tf-quant-finance,,financial-data,https://github.com/google/tf-quant-finance,https://github.com/google/tf-quant-finance,Apache-2.0,2019-07-24 16:09:50.000000,2021-06-03 14:30:43.000000,2021-06-03 14:30:36.000000,344,14.0,14.0,2646,712.0,High-performance TensorFlow library for quantitative finance.,32.0,20,True,,,22.0,tf-quant-finance,,,,['tensorflow'],6.0,6.0,https://pypi.org/project/tf-quant-finance,2021-04-13 13:30:21.000000,0.0,225.0,225.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n596,finmarketpy,cuemacro/finmarketpy,,financial-data,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03.000000,2021-06-01 16:13:24.000000,2021-06-01 16:06:13.000000,438,22.0,3.0,2572,673.0,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,14.0,20,True,2021-06-01 16:13:24.000000,0.11.9,10.0,finmarketpy,,,,,3.0,3.0,https://pypi.org/project/finmarketpy,2021-06-01 16:13:24.000000,,128.0,128.0,,,,,,,,3.0,39.0,,,,,,,,,,,,,,,,,,,,,\n597,DeepVariant,google/deepvariant,,medical-data,https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000000,2021-04-30 21:23:18.277000,2021-03-31 18:23:13.000000,549,3.0,412.0,2279,1503.0,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,19.0,20,True,2020-12-07 17:56:31.000000,1.1.0,15.0,,bioconda/deepvariant,,,['tensorflow'],,,,,,,812.0,https://anaconda.org/bioconda/deepvariant,2021-04-30 21:23:18.277000,30091.0,,,,,3.0,3356.0,,,,,,,,,,,,,,,,,,,,,\n598,DeepWalk,phanein/deepwalk,,graph,https://github.com/phanein/deepwalk,https://github.com/phanein/deepwalk,GPL-3.0,2014-08-23 03:38:20.000000,2020-04-02 01:05:36.000000,2020-04-02 01:05:35.000000,762,29.0,80.0,2251,46.0,DeepWalk - Deep Learning for Graphs.,10.0,20,False,2018-04-29 21:05:18.000000,1.0.3,4.0,deepwalk,,,,,44.0,37.0,https://pypi.org/project/deepwalk,2018-04-29 21:05:18.000000,7.0,2634.0,2634.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n599,Texthero,jbesomi/texthero,,nlp,https://github.com/jbesomi/texthero,https://github.com/jbesomi/texthero,MIT,2020-04-06 15:16:05.000000,2021-04-08 07:07:32.000000,2021-04-07 16:52:32.000000,192,73.0,52.0,2210,268.0,\"Text preprocessing, representation and visualization from zero to hero.\",18.0,20,True,2020-07-06 20:32:28.000000,1.0.9,9.0,texthero,,,,,0.0,,https://pypi.org/project/texthero,2020-07-06 20:29:25.000000,0.0,4625.0,4629.0,,,,,,,,3.0,66.0,,,,,,,,,,,,,,,,,,,,,\n600,HiPlot,facebookresearch/hiplot,,data-viz,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41.000000,2021-05-28 07:03:05.000000,2021-05-28 06:47:31.000000,95,11.0,55.0,2118,138.0,HiPlot makes understanding high dimensional data easy.,6.0,20,True,2021-03-24 11:12:36.000000,0.1.24,59.0,hiplot,conda-forge/hiplot,,,,2.0,2.0,https://pypi.org/project/hiplot,2021-05-28 07:00:06.000000,0.0,7119.0,10582.0,https://anaconda.org/conda-forge/hiplot,2021-03-24 13:41:04.005000,55410.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n601,MONAI,Project-MONAI/MONAI,,medical-data,https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000000,2021-06-03 14:38:06.000000,2021-06-03 11:20:24.000000,374,111.0,833.0,2026,,AI Toolkit for Healthcare Imaging.,63.0,20,True,2021-06-01 20:50:14.000000,0.5.3,22.0,monai,,,,['pytorch'],0.0,,https://pypi.org/project/monai,2021-06-01 15:07:31.000000,0.0,7852.0,7852.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n602,Coach,IntelLabs/coach,,reinforcement-learning,https://github.com/IntelLabs/coach,https://github.com/IntelLabs/coach,Apache-2.0,2017-10-01 19:27:43.000000,2021-06-03 06:09:11.000000,2021-06-03 06:07:39.000000,392,86.0,183.0,1984,520.0,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,34.0,20,True,2019-10-10 14:17:10.000000,1.0.1,13.0,rl_coach,,,,,2.0,,https://pypi.org/project/rl_coach,2019-10-10 14:17:10.000000,2.0,183.0,183.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n603,fast-bert,kaushaltrivedi/fast-bert,,nlp,https://github.com/utterworks/fast-bert,https://github.com/utterworks/fast-bert,Apache-2.0,2019-04-18 22:01:20.000000,2021-05-23 14:35:58.000000,2021-05-23 14:35:53.000000,321,143.0,92.0,1583,,Super easy library for BERT based NLP models.,34.0,20,True,2021-05-23 14:35:28.000000,1.9.9,43.0,fast-bert,,,,,2.0,,https://pypi.org/project/fast-bert,2021-05-23 14:35:28.000000,2.0,2074.0,2074.0,,,,,,,,3.0,,,,,,,,,,,,,utterworks/fast-bert,,,,,,,,,\n604,auto_ml,ClimbsRocks/auto_ml,,hyperopt,https://github.com/ClimbsRocks/auto_ml,https://github.com/ClimbsRocks/auto_ml,MIT,2016-08-07 21:35:08.000000,2021-02-10 07:52:35.000000,2018-03-25 19:46:25.000000,295,185.0,216.0,1539,1149.0,[UNMAINTAINED] Automated machine learning for analytics & production.,13.0,20,False,2018-02-22 01:13:03.000000,2.9.10,78.0,auto_ml,,,,,2.0,,https://pypi.org/project/auto_ml,2018-02-22 01:13:03.000000,2.0,2814.0,2814.0,,,,,,,,3.0,33.0,,,,,,,,,,,,,,,,,,,,,\n605,reformer-pytorch,lucidrains/reformer-pytorch,,pytorch-utils,https://github.com/lucidrains/reformer-pytorch,https://github.com/lucidrains/reformer-pytorch,MIT,2020-01-09 20:42:37.000000,2021-05-09 14:50:10.000000,2021-05-09 14:49:27.000000,199,11.0,100.0,1504,243.0,\"Reformer, the efficient Transformer, in Pytorch.\",10.0,20,True,2021-05-09 14:49:45.000000,1.4.2,137.0,reformer-pytorch,,,,['pytorch'],,,https://pypi.org/project/reformer-pytorch,2021-05-09 14:50:10.000000,,640.0,640.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n606,hiddenlayer,waleedka/hiddenlayer,,ml-experiments,https://github.com/waleedka/hiddenlayer,https://github.com/waleedka/hiddenlayer,MIT,2018-05-18 22:34:51.000000,2020-04-24 07:32:11.000000,2020-04-24 06:58:09.000000,211,44.0,34.0,1456,58.0,\"Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.\",6.0,20,False,2018-12-03 04:33:29.000000,0.2,3.0,hiddenlayer,,,,\"['pytorch', 'tensorflow', 'jupyter']\",79.0,71.0,https://pypi.org/project/hiddenlayer,2020-04-24 07:32:11.000000,8.0,2657.0,2657.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n607,DELTA,Delta-ML/delta,,nlp,https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57.000000,2021-06-01 16:03:10.327551,2020-12-17 06:57:15.000000,288,9.0,70.0,1414,932.0,DELTA is a deep learning based natural language and speech processing platform.,41.0,20,True,2020-07-16 09:31:45.000000,0.3.3,4.0,delta-nlp,,zh794390558/delta,,['tensorflow'],,,https://pypi.org/project/delta-nlp,2020-03-27 04:46:19.000000,,13.0,520.0,,,,https://hub.docker.com/r/zh794390558/delta,2021-06-01 16:03:10.327551,,12694.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n608,Classy Vision,facebookresearch/ClassyVision,,image,https://github.com/facebookresearch/ClassyVision,https://github.com/facebookresearch/ClassyVision,MIT,2019-09-13 22:54:44.000000,2021-06-02 20:56:46.000000,2021-05-25 15:34:32.000000,221,53.0,54.0,1273,371.0,An end-to-end PyTorch framework for image and video classification.,62.0,20,True,2020-11-20 21:02:29.000000,0.5.0,15.0,classy_vision,conda-forge/classy_vision,,,['pytorch'],0.0,,https://pypi.org/project/classy_vision,2020-11-20 21:02:29.000000,0.0,312.0,764.0,https://anaconda.org/conda-forge/classy_vision,2020-12-11 20:08:25.437000,7698.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n609,DLTK,DLTK/DLTK,,medical-data,https://github.com/DLTK/DLTK,https://github.com/DLTK/DLTK,Apache-2.0,2017-05-02 15:40:36.000000,2021-01-15 01:31:30.000000,2019-01-21 14:01:28.000000,388,11.0,24.0,1262,379.0,Deep Learning Toolkit for Medical Image Analysis.,9.0,20,False,2018-02-26 17:43:57.000000,0.2.1,5.0,dltk,,,,['tensorflow'],20.0,20.0,https://pypi.org/project/dltk,2018-02-26 17:43:57.000000,,194.0,194.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n610,datatable,h2oai/datatable,,data-containers,https://github.com/h2oai/datatable,https://github.com/h2oai/datatable,MPL-2.0,2017-03-03 02:32:59.000000,2021-06-01 21:03:02.000000,2021-05-26 02:20:48.000000,108,127.0,1140.0,1220,,A Python package for manipulating 2-dimensional tabular data structures.,28.0,20,True,2020-12-10 09:10:50.000000,0.11.1,15.0,datatable,,,,,6.0,,https://pypi.org/project/datatable,2020-12-10 08:04:03.000000,6.0,28709.0,28730.0,,,,,,,,3.0,989.0,,,,,,,,,,,,,,,,,,,,,\n611,tensorrec,jfkirk/tensorrec,,recommender-systems,https://github.com/jfkirk/tensorrec,https://github.com/jfkirk/tensorrec,Apache-2.0,2017-02-28 18:51:11.000000,2021-03-18 20:46:02.000000,2020-02-04 21:10:25.000000,213,33.0,90.0,1145,334.0,A TensorFlow recommendation algorithm and framework in Python.,8.0,20,False,2019-04-02 00:53:47.000000,0.26.2,30.0,tensorrec,,,,['tensorflow'],29.0,26.0,https://pypi.org/project/tensorrec,2019-04-02 00:53:47.000000,3.0,851.0,851.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n612,TaskTiger,closeio/tasktiger,,data-pipelines,https://github.com/closeio/tasktiger,https://github.com/closeio/tasktiger,MIT,2015-05-14 00:26:32.000000,2021-04-21 06:15:46.000000,2021-04-21 06:07:06.000000,59,36.0,32.0,1075,268.0,Python task queue using Redis.,22.0,20,True,2021-04-21 06:15:46.000000,0.15,25.0,tasktiger,,,,,38.0,20.0,https://pypi.org/project/tasktiger,2021-04-16 07:36:13.000000,18.0,703.0,703.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n613,pytorch-forecasting,jdb78/pytorch-forecasting,,time-series-data,https://github.com/jdb78/pytorch-forecasting,https://github.com/jdb78/pytorch-forecasting,MIT,2020-07-03 13:05:24.000000,2021-06-02 06:34:05.000000,2021-06-01 08:00:54.000000,130,62.0,171.0,1058,888.0,Time series forecasting with PyTorch.,17.0,20,True,2021-04-27 20:38:48.000000,0.8.5,26.0,pytorch-forecasting,,,,,,,https://pypi.org/project/pytorch-forecasting,2021-04-27 20:38:48.000000,,9413.0,9413.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n614,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,,pytorch-utils,https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000000,2021-06-03 09:34:23.000000,2021-06-03 09:34:17.000000,75,3.0,16.0,1014,675.0,PyTorch extensions for fast R&D prototyping and Kaggle farming.,5.0,20,True,2021-04-02 10:59:33.000000,0.4.3,21.0,pytorch_toolbelt,,,,['pytorch'],2.0,,https://pypi.org/project/pytorch_toolbelt,2021-04-02 10:59:33.000000,2.0,9529.0,9529.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n615,Sockeye,awslabs/sockeye,,nlp,https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30.000000,2021-05-30 20:04:12.000000,2021-05-30 20:04:06.000000,295,20.0,228.0,1008,750.0,Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet.,52.0,20,True,2021-04-07 11:51:17.000000,2.3.14,63.0,sockeye,,,,['mxnet'],2.0,,https://pypi.org/project/sockeye,2021-04-07 11:51:17.000000,2.0,395.0,395.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n616,pyts,johannfaouzi/pyts,,time-series-data,https://github.com/johannfaouzi/pyts,https://github.com/johannfaouzi/pyts,BSD-3-Clause,2017-07-31 09:23:16.000000,2021-05-26 11:15:05.000000,2021-05-26 11:15:03.000000,103,26.0,19.0,957,,A Python package for time series classification.,9.0,20,True,2020-03-21 12:41:33.000000,0.11.0,17.0,pyts,conda-forge/pyts,,,,119.0,115.0,https://pypi.org/project/pyts,2020-03-21 12:36:40.000000,4.0,14534.0,14875.0,https://anaconda.org/conda-forge/pyts,2020-03-21 14:08:24.734000,7521.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n617,gplearn,trevorstephens/gplearn,,others,https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14.000000,2020-02-15 08:12:38.000000,2020-02-15 08:12:17.000000,158,34.0,121.0,938,146.0,\"Genetic Programming in Python, with a scikit-learn inspired API.\",10.0,20,False,2019-06-01 02:04:52.000000,0.4.1,5.0,gplearn,,,,['sklearn'],179.0,165.0,https://pypi.org/project/gplearn,2019-06-01 02:04:52.000000,14.0,1384.0,1384.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n618,fairlearn,fairlearn/fairlearn,,interpretability,https://github.com/fairlearn/fairlearn,https://github.com/fairlearn/fairlearn,MIT,2018-05-15 01:51:35.000000,2021-06-02 20:50:50.000000,2021-06-02 07:35:01.000000,208,102.0,144.0,936,,A Python package to assess and improve fairness of machine learning models.,43.0,20,True,2021-05-08 01:40:59.000000,0.6.2,15.0,fairlearn,conda-forge/fairlearn,,,['sklearn'],2.0,,https://pypi.org/project/fairlearn,2021-05-08 00:41:07.000000,2.0,18202.0,18979.0,https://anaconda.org/conda-forge/fairlearn,2021-05-08 07:44:53.037000,12444.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n619,fastFM,ibayer/fastFM,,recommender-systems,https://github.com/ibayer/fastFM,https://github.com/ibayer/fastFM,BSD-3-Clause,2014-10-27 12:25:51.000000,2021-03-24 12:22:31.000000,2021-03-24 12:22:31.000000,187,44.0,59.0,923,297.0,fastFM: A Library for Factorization Machines.,20.0,20,True,2017-11-23 06:59:56.000000,0.2.11,10.0,fastfm,,,,,90.0,82.0,https://pypi.org/project/fastfm,2017-11-23 06:59:56.000000,8.0,945.0,950.0,,,,,,,,3.0,388.0,,,,,,,,,,,,,,,,,,,,,\n620,attention-ocr,emedvedev/attention-ocr,,ocr,https://github.com/emedvedev/attention-ocr,https://github.com/emedvedev/attention-ocr,MIT,2017-07-21 18:35:19.000000,2021-02-23 04:33:25.000000,2020-10-31 19:40:19.000000,233,20.0,126.0,859,196.0,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,27.0,20,True,2020-10-12 06:56:40.000000,0.7.6,21.0,aocr,,,,['tensorflow'],17.0,17.0,https://pypi.org/project/aocr,2019-04-19 05:28:27.000000,,337.0,337.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n621,lightly,lightly-ai/lightly,,image,https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000000,2021-06-03 13:44:48.000000,2021-06-03 13:44:47.000000,49,44.0,133.0,841,454.0,A python library for self-supervised learning on images.,11.0,20,True,2021-05-28 07:01:22.000000,1.1.11,23.0,lightly,,,,['pytorch'],13.0,13.0,https://pypi.org/project/lightly,2021-05-28 07:18:22.000000,0.0,1059.0,1059.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n622,mrq,pricingassistant/mrq,,data-pipelines,https://github.com/pricingassistant/mrq,https://github.com/pricingassistant/mrq,MIT,2014-02-13 09:32:40.000000,2021-05-19 17:32:27.000000,2020-12-13 18:58:15.000000,113,59.0,119.0,840,709.0,Mr. Queue - A distributed worker task queue in Python using Redis & gevent.,37.0,20,True,2018-08-31 16:03:04.000000,0.9.10,70.0,mrq,,,,,35.0,23.0,https://pypi.org/project/mrq,2018-08-31 16:03:04.000000,12.0,320.0,320.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n623,DALEX,ModelOriented/DALEX,,interpretability,https://github.com/ModelOriented/DALEX,https://github.com/ModelOriented/DALEX,GPL-3.0,2018-02-18 03:24:12.000000,2021-06-01 11:35:46.000000,2021-06-01 11:24:39.000000,116,13.0,271.0,833,562.0,moDel Agnostic Language for Exploration and eXplanation.,19.0,20,False,2021-05-31 21:17:29.000000,1.2.0,20.0,dalex,,,,,14.0,14.0,https://pypi.org/project/dalex,2021-05-31 21:17:29.000000,0.0,7468.0,7468.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n624,nude.py,hhatto/nude.py,,image,https://github.com/hhatto/nude.py,https://github.com/hhatto/nude.py,MIT,2013-06-09 06:55:55.000000,2020-11-23 13:49:32.000000,2020-11-23 13:49:02.000000,133,7.0,2.0,800,79.0,Nudity detection with Python.,12.0,20,True,2020-11-23 13:49:17.000000,0.5.1,10.0,nudepy,,,,,324.0,306.0,https://pypi.org/project/nudepy,2020-11-23 13:49:17.000000,18.0,4712.0,4712.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n625,TensorFrames,databricks/tensorframes,,distributed-ml,https://github.com/databricks/tensorframes,https://github.com/databricks/tensorframes,Apache-2.0,2016-03-04 19:25:19.000000,2021-05-21 14:50:19.000000,2019-11-15 21:43:53.000000,157,51.0,43.0,766,221.0,[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark.,16.0,20,False,2018-11-16 20:50:02.000000,0.6.0,6.0,tensorframes,,,,\"['tensorflow', 'spark']\",1.0,,https://pypi.org/project/tensorframes,2018-05-16 14:20:28.000000,1.0,13219.0,13219.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n626,AstroML,astroML/astroML,,others,https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50.000000,2021-04-07 06:12:17.000000,2021-04-07 06:12:17.000000,271,53.0,84.0,749,,\"Machine learning, statistics, and data mining for astronomy and astrophysics.\",30.0,20,True,2019-10-02 06:32:58.000000,0.4.1,10.0,astroML,conda-forge/astroml,,,['sklearn'],29.0,,https://pypi.org/project/astroML,2020-03-23 23:20:49.000000,29.0,1445.0,1958.0,https://anaconda.org/conda-forge/astroml,2020-02-16 04:18:54.678000,23631.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n627,YouTokenToMe,vkcom/youtokentome,,nlp,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28.000000,2021-01-28 23:05:01.000000,2021-01-28 19:04:09.000000,47,23.0,22.0,745,79.0,Unsupervised text tokenizer focused on computational efficiency.,6.0,20,True,2020-02-13 09:57:47.000000,1.0.6,14.0,youtokentome,,,,,139.0,127.0,https://pypi.org/project/youtokentome,2020-02-12 18:24:46.000000,12.0,16734.0,16734.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n628,NGT,yahoojapan/NGT,,nn-search,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000000,2021-05-27 04:06:08.000000,2021-05-27 04:05:36.000000,75,7.0,74.0,741,130.0,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,11.0,20,True,2021-03-12 02:52:55.000000,1.13.5,49.0,ngt,,,,,6.0,,https://pypi.org/project/ngt,2020-09-23 06:52:45.000000,6.0,10051.0,10051.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n629,mlens,flennerhag/mlens,,others,https://github.com/flennerhag/mlens,https://github.com/flennerhag/mlens,MIT,2017-01-10 20:53:47.000000,2020-02-25 14:32:48.000000,2020-02-25 14:31:53.000000,89,8.0,73.0,689,879.0,ML-Ensemble high performance ensemble learning.,7.0,20,False,2018-10-30 22:34:35.000000,0.2.3,14.0,mlens,,,,,133.0,130.0,https://pypi.org/project/mlens,2018-10-30 22:30:43.000000,3.0,5527.0,5527.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n630,NearPy,pixelogik/NearPy,,nn-search,https://github.com/pixelogik/NearPy,https://github.com/pixelogik/NearPy,MIT,2013-04-25 09:10:26.000000,2020-02-17 20:24:08.000000,2018-10-21 17:54:28.000000,137,23.0,38.0,678,159.0,\"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..\",18.0,20,False,2016-09-27 13:04:44.000000,1.0.0,8.0,NearPy,,,,,68.0,52.0,https://pypi.org/project/NearPy,2016-09-27 13:03:12.000000,16.0,2696.0,2696.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n631,Saliency,PAIR-code/saliency,,tensorflow-utils,https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35.000000,2021-05-11 17:28:53.000000,2021-05-11 17:28:52.000000,156,17.0,11.0,672,76.0,\"Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).\",14.0,20,True,2021-05-03 16:33:29.000000,0.1.3,10.0,saliency,,,,['tensorflow'],18.0,16.0,https://pypi.org/project/saliency,2021-05-03 16:33:29.000000,2.0,736.0,736.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n632,bambi,bambinos/bambi,,probabilistics,https://github.com/bambinos/bambi,https://github.com/bambinos/bambi,MIT,2016-05-16 03:21:00.000000,2021-05-26 17:22:33.000000,2021-05-26 17:19:48.000000,54,31.0,145.0,626,570.0,BAyesian Model-Building Interface (Bambi) in Python.,17.0,20,True,2021-05-16 23:07:43.000000,0.5.0,13.0,bambi,,,,,16.0,13.0,https://pypi.org/project/bambi,2021-05-16 23:07:43.000000,3.0,340.0,340.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n633,pdpipe,pdpipe/pdpipe,,data-pipelines,https://github.com/pdpipe/pdpipe,https://github.com/pdpipe/pdpipe,MIT,2017-01-24 20:37:22.000000,2021-02-23 19:36:13.000000,2021-02-23 18:30:54.000000,27,6.0,15.0,607,342.0,Easy pipelines for pandas DataFrames.,8.0,20,True,2021-02-23 19:40:09.000000,0.0.51,49.0,pdpipe,,,,['pandas'],30.0,30.0,https://pypi.org/project/pdpipe,2020-11-09 09:32:37.000000,0.0,1840.0,1840.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n634,Labml,lab-ml/labml,,ml-experiments,https://github.com/labmlai/labml,https://github.com/labmlai/labml,MIT,2018-11-16 09:34:48.000000,2021-05-13 09:49:58.000000,2021-05-13 09:49:43.000000,46,4.0,7.0,572,1008.0,Monitor deep learning model training and hardware usage from your mobile phone.,6.0,20,True,2021-05-13 09:49:58.000000,0.4.120,97.0,labml,,,,,26.0,26.0,https://pypi.org/project/labml,2021-05-13 09:49:58.000000,0.0,663.0,663.0,,,,,,,,3.0,,,,,,,,,,,,,labmlai/labml,,,,,,,,,\n635,Feature Engine,solegalli/feature_engine,,others,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2018-12-31 01:47:18.000000,2021-06-03 14:21:30.000000,2021-05-01 10:46:55.000000,148,29.0,82.0,543,112.0,Feature engineering package with sklearn like functionality.,23.0,20,True,2021-01-23 12:03:16.000000,1.0.2,25.0,feature_engine,conda-forge/feature_engine,,,,2.0,,https://pypi.org/project/feature_engine,2021-01-23 12:03:16.000000,2.0,29327.0,29638.0,https://anaconda.org/conda-forge/feature_engine,2021-01-25 12:36:37.909000,3113.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n636,What-If Tool,PAIR-code/what-if-tool,,interpretability,https://github.com/PAIR-code/what-if-tool,https://github.com/PAIR-code/what-if-tool,Apache-2.0,2018-09-07 20:26:10.000000,2021-05-11 09:27:28.000000,2021-03-17 12:46:20.000000,102,38.0,38.0,526,319.0,Source code/webpage/demos for the What-If Tool.,19.0,20,True,2021-01-19 14:40:37.214000,1.8.0,38.0,witwidget,,,,,0.0,,https://pypi.org/project/witwidget,2021-01-19 14:40:21.000000,0.0,9444.0,12165.0,,,,,,,,3.0,,,,wit-widget,https://www.npmjs.com/package/wit-widget,2021-01-19 14:40:37.214000,,2721.0,,,,,,,,,,,,,,\n637,scikit-lego,koaning/scikit-lego,,sklearn-utils,https://github.com/koaning/scikit-lego,https://github.com/koaning/scikit-lego,MIT,2019-01-21 15:30:15.000000,2021-05-24 18:40:07.000000,2021-05-24 18:40:03.000000,72,25.0,196.0,519,,Extra blocks for scikit-learn pipelines.,46.0,20,True,2021-05-07 13:23:25.000000,0.6.7,33.0,scikit-lego,conda-forge/scikit-lego,,,['sklearn'],27.0,27.0,https://pypi.org/project/scikit-lego,2021-05-07 13:24:31.000000,0.0,3278.0,3840.0,https://anaconda.org/conda-forge/scikit-lego,2021-05-07 16:59:35.251000,11246.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n638,pyhsmm,mattjj/pyhsmm,,probabilistics,https://github.com/mattjj/pyhsmm,https://github.com/mattjj/pyhsmm,MIT,2012-03-18 17:40:13.000000,2020-09-29 20:58:26.000000,2020-08-24 17:03:59.000000,159,39.0,60.0,487,1426.0,Bayesian inference in HSMMs and HMMs.,13.0,20,True,2017-05-10 17:14:37.000000,0.1.7,8.0,pyhsmm,,,,,27.0,19.0,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37.000000,8.0,224.0,224.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n639,Poutyne,GRAAL-Research/poutyne,,pytorch-utils,https://github.com/GRAAL-Research/poutyne,https://github.com/GRAAL-Research/poutyne,LGPL-3.0,2017-12-07 18:30:17.000000,2021-05-28 15:21:32.000000,2021-05-28 15:15:44.000000,51,7.0,38.0,478,569.0,A simplified framework and utilities for PyTorch.,16.0,20,False,2021-05-22 14:42:18.000000,1.5,22.0,poutyne,,,,['pytorch'],63.0,59.0,https://pypi.org/project/poutyne,2021-05-22 14:42:36.000000,4.0,2271.0,2271.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n640,N2,kakao/n2,,nn-search,https://github.com/kakao/n2,https://github.com/kakao/n2,Apache-2.0,2017-11-23 02:27:59.000000,2021-05-20 05:41:36.000000,2021-05-20 05:39:44.000000,53,17.0,22.0,475,242.0,TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets.,18.0,20,True,2020-10-16 03:43:47.000000,0.1.7,9.0,n2,,,,,19.0,15.0,https://pypi.org/project/n2,2020-10-16 03:10:01.000000,4.0,1931.0,1931.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n641,nnAudio,KinWaiCheuk/nnAudio,,audio,https://github.com/KinWaiCheuk/nnAudio,https://github.com/KinWaiCheuk/nnAudio,MIT,2019-09-02 04:31:14.000000,2021-05-03 05:47:56.000000,2021-05-02 11:21:11.000000,47,9.0,27.0,474,238.0,Audio processing by using pytorch 1D convolution network.,9.0,20,True,2021-03-01 02:58:44.000000,0.2.2,30.0,nnAudio,,,,,14.0,14.0,https://pypi.org/project/nnAudio,2021-05-02 14:01:29.000000,,382.0,382.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n642,HpBandSter,automl/HpBandSter,,hyperopt,https://github.com/automl/HpBandSter,https://github.com/automl/HpBandSter,BSD-3-Clause,2017-12-17 20:28:20.000000,2021-01-31 10:05:37.000000,2019-03-26 09:26:28.000000,99,57.0,35.0,467,187.0,a distributed Hyperband implementation on Steroids.,11.0,20,False,2019-07-30 12:47:43.000000,1.0,8.0,hpbandster,,,,,161.0,145.0,https://pypi.org/project/hpbandster,2018-11-06 12:56:55.000000,16.0,20388.0,20388.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n643,PyWaffle,gyli/PyWaffle,,data-viz,https://github.com/gyli/PyWaffle,https://github.com/gyli/PyWaffle,MIT,2017-11-14 20:03:47.000000,2020-07-26 23:22:17.000000,2020-07-26 23:22:13.000000,69,2.0,10.0,428,249.0,Make Waffle Charts in Python.,6.0,20,True,2020-07-26 19:16:45.000000,0.6.1,22.0,pywaffle,,,,,61.0,61.0,https://pypi.org/project/pywaffle,2020-07-26 19:16:45.000000,,2220.0,2220.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n644,skope-rules,scikit-learn-contrib/skope-rules,,sklearn-utils,https://github.com/scikit-learn-contrib/skope-rules,https://github.com/scikit-learn-contrib/skope-rules,BSD-1-Clause,2018-02-18 13:42:47.000000,2021-05-12 08:25:18.000000,2020-10-23 14:31:57.000000,63,23.0,5.0,391,247.0,machine learning with logical rules in Python.,18.0,20,False,2020-12-11 09:37:02.000000,1.0.1,4.0,skope-rules,,,,['sklearn'],38.0,32.0,https://pypi.org/project/skope-rules,2020-01-25 12:01:37.000000,6.0,15962.0,15962.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n645,pydlm,wwrechard/pydlm,,time-series-data,https://github.com/wwrechard/pydlm,https://github.com/wwrechard/pydlm,BSD-3-Clause,2016-06-29 07:58:53.000000,2021-02-24 14:21:28.000000,2019-10-22 07:18:40.000000,86,35.0,8.0,389,362.0,A python library for Bayesian time series modeling.,6.0,20,False,2016-11-06 01:43:35.000000,0.1.1,13.0,pydlm,,,,,22.0,20.0,https://pypi.org/project/pydlm,2018-12-19 10:27:54.000000,2.0,20459.0,20459.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n646,BioPandas,rasbt/biopandas,,others,https://github.com/rasbt/biopandas,https://github.com/rasbt/biopandas,BSD-3-Clause,2015-11-21 00:00:14.000000,2021-04-07 03:17:51.000000,2021-04-07 03:17:51.000000,82,15.0,21.0,358,,Working with molecular structures in pandas DataFrames.,7.0,20,True,2021-03-03 00:55:13.000000,0.2.8,12.0,biopandas,conda-forge/biopandas,,,['pandas'],61.0,55.0,https://pypi.org/project/biopandas,2021-03-03 00:55:13.000000,6.0,975.0,2379.0,https://anaconda.org/conda-forge/biopandas,2020-08-08 06:33:59.197000,75833.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n647,MedPy,loli/medpy,,medical-data,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34.000000,2020-05-01 15:25:39.000000,2020-05-01 15:25:38.000000,108,11.0,66.0,352,324.0,Medical image processing in Python.,13.0,20,False,2019-02-14 17:12:59.000000,0.4.0,6.0,MedPy,,,,,328.0,298.0,https://pypi.org/project/MedPy,2019-02-14 17:12:59.000000,30.0,7684.0,7684.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n648,FiftyOne,voxel51/fiftyone,,data-viz,https://github.com/voxel51/fiftyone,https://github.com/voxel51/fiftyone,Apache-2.0,2020-04-22 13:43:28.000000,2021-06-03 15:31:52.000000,2021-06-03 14:44:34.000000,27,129.0,288.0,321,5467.0,\"Visualize, create, and debug image and video datasets and model predictions.\",11.0,20,True,2021-05-18 23:11:08.000000,0.9.3,51.0,fiftyone,,,,\"['tensorflow', 'pytorch', 'jupyter']\",1.0,1.0,https://pypi.org/project/fiftyone,2021-05-18 23:11:08.000000,,3162.0,3162.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n649,sklearn-evaluation,edublancas/sklearn-evaluation,,interpretability,https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2015-09-04 16:33:42.000000,2021-05-30 05:13:12.000000,2021-03-28 18:13:37.000000,27,9.0,28.0,306,516.0,\"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook..\",5.0,20,True,2021-03-28 18:21:46.000000,0.5.5,17.0,sklearn-evaluation,,,,['sklearn'],30.0,28.0,https://pypi.org/project/sklearn-evaluation,2021-03-28 18:20:55.000000,2.0,682.0,682.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n650,impyute,eltonlaw/impyute,,others,https://github.com/eltonlaw/impyute,https://github.com/eltonlaw/impyute,MIT,2017-01-21 09:16:27.000000,2020-06-12 21:08:40.000000,2019-10-05 20:39:08.000000,41,26.0,36.0,278,289.0,Data imputations library to preprocess datasets with missing data.,10.0,20,False,2019-04-29 02:31:32.000000,0.0.8,8.0,impyute,,,,,99.0,95.0,https://pypi.org/project/impyute,2019-04-29 02:31:32.000000,4.0,2109.0,2109.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n651,EarthPy,earthlab/earthpy,,geospatial-data,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000000,2021-06-02 17:58:19.000000,2021-04-06 22:04:33.000000,108,19.0,201.0,262,,A package built to support working with spatial data using open source python.,39.0,20,True,2020-06-18 23:58:08.000000,0.9.2,22.0,earthpy,conda-forge/earthpy,,,,97.0,91.0,https://pypi.org/project/earthpy,2020-06-18 23:58:08.000000,6.0,2894.0,4144.0,https://anaconda.org/conda-forge/earthpy,2020-06-19 15:23:44.425000,32503.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n652,Auto ViML,AutoViML/Auto_ViML,,hyperopt,https://github.com/AutoViML/Auto_ViML,https://github.com/AutoViML/Auto_ViML,Apache-2.0,2019-06-10 13:09:15.000000,2021-05-17 02:25:55.000000,2021-05-17 02:24:37.000000,58,4.0,14.0,262,291.0,Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome...,6.0,20,True,2021-04-15 00:54:35.000000,0.1.681,131.0,autoviml,,,,,13.0,13.0,https://pypi.org/project/autoviml,2021-05-17 02:25:55.000000,0.0,591.0,591.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n653,quinn,MrPowers/quinn,,ml-experiments,https://github.com/MrPowers/quinn,https://github.com/MrPowers/quinn,Apache-2.0,2017-09-15 13:02:42.000000,2021-03-27 14:31:44.000000,2021-02-09 04:48:07.000000,28,17.0,9.0,255,110.0,pyspark methods to enhance developer productivity.,6.0,20,True,2021-02-06 15:21:04.000000,0.9.0,12.0,quinn,,,,['spark'],6.0,,https://pypi.org/project/quinn,2021-02-06 15:21:04.000000,6.0,295659.0,295659.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n654,Brainiak,brainiak/brainiak,,medical-data,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27.000000,2021-05-28 01:21:58.000000,2021-05-28 01:21:58.000000,112,67.0,120.0,244,393.0,Brain Imaging Analysis Kit.,33.0,20,True,2019-08-27 23:52:29.000000,0.9.1,15.0,brainiak,,brainiak/brainiak,,,13.0,12.0,https://pypi.org/project/brainiak,2020-10-15 20:45:08.000000,1.0,184.0,192.0,,,,https://hub.docker.com/r/brainiak/brainiak,2020-10-15 21:11:03.379549,1.0,573.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n655,ivis,beringresearch/ivis,,data-viz,https://github.com/beringresearch/ivis,https://github.com/beringresearch/ivis,Apache-2.0,2018-08-13 08:31:01.000000,2021-06-01 07:57:44.000000,2021-06-01 07:57:34.000000,24,2.0,43.0,234,553.0,Dimensionality reduction in very large datasets using Siamese Networks.,9.0,20,True,2021-05-26 15:56:11.000000,2.0.3,29.0,ivis,,,,['tensorflow'],15.0,15.0,https://pypi.org/project/ivis,2021-05-26 15:56:11.000000,0.0,311.0,311.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n656,Glow,projectglow/glow,,medical-data,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47.000000,2021-06-03 02:17:56.000000,2021-06-02 17:25:05.000000,46,29.0,62.0,168,325.0,An open-source toolkit for large-scale genomic analysis.,12.0,20,True,2021-04-28 00:07:10.000000,1.0.1,11.0,glow.py,,,,,,,https://pypi.org/project/glow.py,2021-04-28 00:05:18.000000,,20941.0,20941.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n657,graph-nets,deepmind/graph_nets,,graph,https://github.com/deepmind/graph_nets,https://github.com/deepmind/graph_nets,Apache-2.0,2018-08-31 08:19:28.000000,2020-12-04 17:43:48.000000,2020-12-04 17:43:47.000000,734,8.0,108.0,4894,47.0,Build Graph Nets in Tensorflow.,10.0,19,True,2020-01-29 16:00:25.000000,1.1.0,7.0,graph-nets,,,,['tensorflow'],7.0,,https://pypi.org/project/graph-nets,2020-01-29 16:00:25.000000,7.0,1259.0,1259.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n658,Crypto Signals,CryptoSignal/crypto-signal,,financial-data,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24.000000,2021-05-27 21:27:14.000000,2020-09-03 12:26:48.000000,827,43.0,193.0,3106,563.0,\"Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 2,100 + stars, 580 + forks.\",27.0,19,True,,,,,,shadowreaver/crypto-signal,,,,,,,,,3041.0,,,,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133,7.0,136856.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n659,BytePS,bytedance/byteps,,distributed-ml,https://github.com/bytedance/byteps,https://github.com/bytedance/byteps,Apache-2.0,2019-06-25 07:00:13.000000,2021-05-22 06:07:24.000000,2021-04-21 01:41:01.000000,388,89.0,149.0,2830,417.0,A high performance and generic framework for distributed DNN training.,19.0,19,True,2020-08-27 15:42:13.000000,0.2.4,7.0,byteps,,bytepsimage/tensorflow,,,,,https://pypi.org/project/byteps,2020-11-04 00:05:46.000000,,177.0,223.0,,,,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,1106.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n660,image-match,EdjoLabs/image-match,,image,https://github.com/ProvenanceLabs/image-match,https://github.com/ProvenanceLabs/image-match,Apache-2.0,2016-03-08 18:16:45.000000,2021-01-04 18:36:01.000000,2021-01-04 18:35:59.000000,371,54.0,48.0,2574,404.0,Quickly search over billions of images.,17.0,19,True,2017-02-13 14:54:48.000000,1.1.2,10.0,image_match,,,,,6.0,,https://pypi.org/project/image_match,2017-02-13 14:54:48.000000,6.0,916.0,916.0,,,,,,,,3.0,,,,,,,,,,,,,ProvenanceLabs/image-match,,,,,,,,,\n661,StreamAlert,airbnb/streamalert,,others,https://github.com/airbnb/streamalert,https://github.com/airbnb/streamalert,Apache-2.0,2017-01-22 01:10:56.000000,2021-06-02 03:48:19.000000,2021-02-10 05:03:05.000000,295,88.0,249.0,2535,1893.0,\"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data..\",31.0,19,True,2020-10-05 21:50:56.000000,3.4.1,27.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n662,Apache Singa,apache/singa,,distributed-ml,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000000,2021-05-22 08:11:37.000000,2021-01-15 13:09:22.000000,628,40.0,38.0,2278,2265.0,a distributed deep learning platform.,70.0,19,True,2020-04-21 08:01:08.000000,3.0.0,14.0,,nusdbsystem/singa,apache/singa,,,1.0,1.0,,,,,7.0,https://anaconda.org/nusdbsystem/singa,2021-01-20 03:00:28.355000,272.0,https://hub.docker.com/r/apache/singa,2019-06-04 04:32:52.195956,2.0,167.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n663,cuML,rapidsai/cuml,,gpu-utilities,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000000,2021-06-03 14:55:07.000000,2021-06-03 14:05:15.000000,334,629.0,1154.0,2201,,cuML - RAPIDS Machine Learning Library.,128.0,19,True,2021-04-21 19:48:21.000000,0.19.0,8.0,cuml,,,,,0.0,,https://pypi.org/project/cuml,2020-06-01 20:09:10.000000,0.0,716.0,716.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n664,pdftabextract,WZBSocialScienceCenter/pdftabextract,,ocr,https://github.com/WZBSocialScienceCenter/pdftabextract,https://github.com/WZBSocialScienceCenter/pdftabextract,Apache-2.0,2016-07-08 11:44:46.000000,2020-12-28 00:52:23.000000,2018-10-26 13:57:02.000000,334,3.0,18.0,1926,168.0,A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.,2.0,19,False,2018-01-09 08:00:24.000000,0.3.0,5.0,pdftabextract,,,,,38.0,37.0,https://pypi.org/project/pdftabextract,2018-01-09 08:00:24.000000,1.0,364.0,364.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n665,River,online-ml/river,,others,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000000,2021-05-31 03:48:24.000000,2021-05-20 18:08:05.000000,212,33.0,280.0,1643,3124.0,Online machine learning in Python.,65.0,19,True,,,,,,,,,19.0,19.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n666,NeuroNER,Franck-Dernoncourt/NeuroNER,,nlp,https://github.com/Franck-Dernoncourt/NeuroNER,https://github.com/Franck-Dernoncourt/NeuroNER,MIT,2017-03-07 01:24:15.000000,2021-05-21 15:20:14.000000,2019-10-02 23:26:11.000000,442,81.0,67.0,1559,132.0,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,7.0,19,False,2019-10-02 23:30:15.000000,1.0.8,7.0,pyneuroner,,,,,10.0,10.0,https://pypi.org/project/pyneuroner,2019-10-02 23:30:15.000000,,145.0,145.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n667,ThunderSVM,Xtra-Computing/thundersvm,,ml-frameworks,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04.000000,2021-02-10 05:12:44.000000,2021-02-10 05:12:44.000000,172,50.0,145.0,1314,902.0,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,33.0,19,True,2020-03-13 12:36:30.000000,0.3.12,9.0,thundersvm,,,,,,,https://pypi.org/project/thundersvm,2020-03-13 12:36:30.000000,,476.0,515.0,,,,,,,,3.0,2192.0,,,,,,,,,,,,,,,,,,,,,\n668,Paddle Graph Learning,PaddlePaddle/PGL,,graph,https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28.000000,2021-06-02 07:13:52.000000,2021-06-02 07:13:52.000000,149,27.0,43.0,1017,,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,17.0,19,True,2021-05-12 05:13:54.000000,2.1.4,12.0,pgl,,,,['paddle'],19.0,17.0,https://pypi.org/project/pgl,2021-05-12 05:13:54.000000,2.0,795.0,795.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n669,TensorNets,taehoonlee/tensornets,,tensorflow-utils,https://github.com/taehoonlee/tensornets,https://github.com/taehoonlee/tensornets,MIT,2017-09-19 05:19:01.000000,2021-01-02 06:28:10.000000,2021-01-02 06:26:24.000000,187,14.0,42.0,988,284.0,High level network definitions with pre-trained weights in TensorFlow.,6.0,19,True,2020-03-31 04:38:27.000000,0.4.6,12.0,tensornets,,,,['tensorflow'],39.0,35.0,https://pypi.org/project/tensornets,2020-03-31 04:35:15.000000,4.0,216.0,216.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n670,Skater,oracle/Skater,,interpretability,https://github.com/oracle/Skater,https://github.com/oracle/Skater,UPL-1.0,2017-01-26 05:45:42.000000,2020-11-01 15:57:12.273000,2020-06-29 20:07:12.000000,163,69.0,97.0,976,1101.0,Python Library for Model Interpretation/Explanations.,34.0,19,False,2018-09-21 07:03:32.000000,1.1.2,23.0,skater,conda-forge/skater,,,,,,https://pypi.org/project/skater,2018-09-21 07:03:32.000000,,3542.0,4368.0,https://anaconda.org/conda-forge/skater,2020-11-01 15:57:12.273000,39668.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n671,Databolt Flow,d6t/d6tflow,,data-pipelines,https://github.com/d6t/d6tflow,https://github.com/d6t/d6tflow,MIT,2019-02-03 01:51:22.000000,2021-04-28 04:27:05.000000,2021-04-28 04:27:05.000000,67,8.0,13.0,912,241.0,Python library for building highly effective data science workflows.,12.0,19,True,2021-03-17 03:43:31.000000,0.2.3,20.0,d6tflow,,,,,13.0,13.0,https://pypi.org/project/d6tflow,2021-03-17 03:43:31.000000,,147.0,147.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n672,Bounter,RaRe-Technologies/bounter,,data-containers,https://github.com/RaRe-Technologies/bounter,https://github.com/RaRe-Technologies/bounter,MIT,2017-07-18 07:24:15.000000,2021-05-24 07:30:15.000000,2021-05-24 07:29:54.000000,48,12.0,9.0,910,156.0,Efficient Counter that uses a limited (bounded) amount of memory regardless of data size.,8.0,19,True,2020-08-17 06:37:51.000000,1.1.1,7.0,bounter,,,,,36.0,22.0,https://pypi.org/project/bounter,2020-08-17 06:37:51.000000,14.0,194.0,194.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n673,Fiber,uber/fiber,,distributed-ml,https://github.com/uber/fiber,https://github.com/uber/fiber,Apache-2.0,2020-01-07 18:16:24.000000,2021-06-02 01:16:18.000000,2021-03-15 07:00:08.000000,96,14.0,8.0,898,66.0,Distributed Computing for AI Made Simple.,5.0,19,True,2020-07-09 03:28:28.000000,0.2.1,6.0,fiber,,,,,28.0,27.0,https://pypi.org/project/fiber,2020-07-09 03:28:28.000000,1.0,1553.0,1553.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n674,advertorch,BorealisAI/advertorch,,adversarial,https://github.com/BorealisAI/advertorch,https://github.com/BorealisAI/advertorch,GPL-3.0,2018-11-29 22:17:33.000000,2021-02-26 11:22:02.000000,2020-06-15 01:16:18.000000,138,15.0,28.0,866,270.0,A Toolbox for Adversarial Robustness Research.,16.0,19,False,2020-06-15 01:20:07.000000,0.2.3,10.0,advertorch,,,,['pytorch'],45.0,39.0,https://pypi.org/project/advertorch,2020-06-15 01:20:07.000000,6.0,1444.0,1444.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n675,keras-ocr,faustomorales/keras-ocr,,ocr,https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50.000000,2021-03-31 15:57:11.000000,2021-03-31 14:26:39.000000,206,40.0,97.0,858,167.0,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,10.0,19,True,2020-11-26 17:19:39.000000,0.8.6,26.0,keras-ocr,,,,['tensorflow'],2.0,,https://pypi.org/project/keras-ocr,2020-11-26 17:19:39.000000,2.0,4204.0,9307.0,,,,,,,,3.0,45935.0,,,,,,,,,,,,,,,,,,,,,\n676,calamari,Calamari-OCR/calamari,,ocr,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,Apache-2.0,2018-03-20 15:22:29.000000,2021-05-30 10:58:28.000000,2021-05-30 10:57:42.000000,176,33.0,171.0,825,372.0,Line based ATR Engine based on OCRopy.,18.0,19,True,2021-05-30 10:58:28.000000,2.1.2,28.0,calamari_ocr,,,,,2.0,,https://pypi.org/project/calamari_ocr,2018-11-13 11:24:45.000000,2.0,1015.0,1015.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n677,tffm,geffy/tffm,,tensorflow-utils,https://github.com/geffy/tffm,https://github.com/geffy/tffm,MIT,2016-05-02 17:06:07.000000,2020-05-22 21:40:58.000000,2020-05-22 21:40:57.000000,176,17.0,20.0,764,106.0,TensorFlow implementation of an arbitrary order Factorization Machine.,10.0,19,False,2018-01-27 11:43:26.000000,1.0.1,2.0,tffm,,,,['tensorflow'],12.0,11.0,https://pypi.org/project/tffm,2018-01-27 11:43:26.000000,1.0,1877.0,1877.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n678,pytorch2keras,nerox8664/pytorch2keras,,model-serialisation,https://github.com/gmalivenko/pytorch2keras,https://github.com/gmalivenko/pytorch2keras,MIT,2017-11-16 20:21:43.000000,2021-05-09 08:11:50.000000,2021-05-09 08:06:07.000000,114,46.0,66.0,709,278.0,PyTorch to Keras model convertor.,12.0,19,True,2020-05-14 10:03:56.000000,0.2.4,23.0,pytorch2keras,,,,,22.0,21.0,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56.000000,1.0,739.0,739.0,,,,,,,,3.0,,,,,,,,,,,,,gmalivenko/pytorch2keras,,,,,,,,,\n679,Test Tube,williamFalcon/test-tube,,hyperopt,https://github.com/williamFalcon/test-tube,https://github.com/williamFalcon/test-tube,MIT,2017-09-06 02:14:57.000000,2021-01-17 20:04:39.000000,2020-03-17 22:44:47.000000,62,25.0,21.0,687,642.0,Python library to easily log experiments and parallelize hyperparameter search for neural networks.,16.0,19,False,2019-12-01 01:19:36.000000,0.7.5,53.0,test_tube,,,,,5.0,,https://pypi.org/project/test_tube,2018-12-12 22:45:59.000000,5.0,13039.0,13039.0,,,,,,,,3.0,8.0,,,,,,,,,,,,,,,,,,,,,\n680,finetune,IndicoDataSolutions/finetune,,nlp,https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16.000000,2021-06-02 15:25:10.000000,2021-05-10 15:01:54.000000,68,21.0,115.0,643,1201.0,Scikit-learn style model finetuning for NLP.,19.0,19,True,2020-01-10 22:42:24.000000,0.8.6,37.0,finetune,,,,\"['tensorflow', 'sklearn']\",11.0,9.0,https://pypi.org/project/finetune,2020-01-10 22:42:24.000000,2.0,91.0,91.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n681,matrixprofile-ts,target/matrixprofile-ts,,time-series-data,https://github.com/target/matrixprofile-ts,https://github.com/target/matrixprofile-ts,Apache-2.0,2018-09-10 19:03:34.000000,2020-04-25 18:38:20.000000,2020-04-25 18:37:42.000000,92,19.0,34.0,639,198.0,A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile.,15.0,19,False,2019-08-08 01:24:38.000000,0.0.9,9.0,matrixprofile-ts,,,,,16.0,16.0,https://pypi.org/project/matrixprofile-ts,2019-08-08 01:24:38.000000,,4803.0,4803.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n682,XAI,EthicalML/xai,,interpretability,https://github.com/EthicalML/xai,https://github.com/EthicalML/xai,MIT,2019-01-11 20:00:09.000000,2021-04-23 07:08:20.000000,2021-04-23 07:08:20.000000,98,4.0,3.0,632,87.0,XAI - An eXplainability toolbox for machine learning.,3.0,19,True,2019-04-21 14:53:12.000000,0.0.5,5.0,xai,,,,,17.0,11.0,https://pypi.org/project/xai,2019-04-21 14:53:12.000000,6.0,2655.0,2655.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n683,vecstack,vecxoz/vecstack,,others,https://github.com/vecxoz/vecstack,https://github.com/vecxoz/vecstack,MIT,2016-11-08 13:23:21.000000,2020-09-14 08:31:07.000000,2019-10-30 09:27:48.000000,74,,36.0,623,189.0,Python package for stacking (machine learning technique).,1.0,19,False,2019-08-12 16:09:01.000000,0.4.0,6.0,vecstack,,,,,139.0,131.0,https://pypi.org/project/vecstack,2019-08-12 16:01:22.000000,8.0,2846.0,2846.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n684,Performer Pytorch,lucidrains/performer-pytorch,,pytorch-utils,https://github.com/lucidrains/performer-pytorch,https://github.com/lucidrains/performer-pytorch,MIT,2020-10-03 03:41:36.000000,2021-04-21 06:30:05.000000,2021-04-21 06:29:48.000000,79,23.0,39.0,619,,\"An implementation of Performer, a linear attention-based transformer, in Pytorch.\",4.0,19,True,2021-04-21 06:30:05.000000,1.0.11,75.0,performer-pytorch,,,,['pytorch'],25.0,25.0,https://pypi.org/project/performer-pytorch,2021-04-21 05:45:21.000000,0.0,1715.0,1715.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n685,PFRL,pfnet/pfrl,,reinforcement-learning,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50.000000,2021-05-26 15:36:20.000000,2021-05-16 02:57:33.000000,73,22.0,26.0,601,359.0,PFRL: a PyTorch-based deep reinforcement learning library.,13.0,19,True,2020-12-17 05:00:25.000000,0.2.1,4.0,pfrl,,,,,12.0,12.0,https://pypi.org/project/pfrl,2020-12-17 05:00:25.000000,,760.0,760.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n686,RLax,deepmind/rlax,,reinforcement-learning,https://github.com/deepmind/rlax,https://github.com/deepmind/rlax,Apache-2.0,2020-02-18 07:14:59.000000,2021-05-28 00:13:37.000000,2021-05-28 00:13:07.000000,48,4.0,4.0,600,111.0,A library of reinforcement learning building blocks in JAX.,12.0,19,True,2020-02-19 23:01:30.000000,0.1.0,3.0,rlax,,,,['jax'],19.0,19.0,https://pypi.org/project/rlax,2020-02-19 23:01:30.000000,,1178.0,1178.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n687,Torchbearer,pytorchbearer/torchbearer,,ml-frameworks,https://github.com/pytorchbearer/torchbearer,https://github.com/pytorchbearer/torchbearer,MIT,2018-03-12 16:30:42.000000,2021-03-26 19:56:57.000000,2021-03-26 19:56:57.000000,66,8.0,237.0,599,430.0,torchbearer: A model fitting library for PyTorch.,13.0,19,True,2020-01-31 14:07:22.000000,0.5.3,24.0,torchbearer,,,,['pytorch'],54.0,48.0,https://pypi.org/project/torchbearer,2020-01-31 14:05:56.000000,6.0,1010.0,1010.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n688,baikal,alegonz/baikal,,others,https://github.com/alegonz/baikal,https://github.com/alegonz/baikal,BSD-3-Clause,2019-01-21 12:59:02.000000,2021-04-18 08:09:10.000000,2021-04-11 07:50:00.000000,29,6.0,14.0,578,405.0,A graph-based functional API for building complex scikit-learn pipelines.,2.0,19,True,2020-11-15 13:40:18.000000,0.4.2,7.0,baikal,conda-forge/cython-blis,,,,3.0,3.0,https://pypi.org/project/baikal,2020-11-15 13:40:18.000000,0.0,251.0,34620.0,https://anaconda.org/conda-forge/cython-blis,2021-01-31 09:13:47.685000,927968.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n689,iterative-stratification,trent-b/iterative-stratification,,sklearn-utils,https://github.com/trent-b/iterative-stratification,https://github.com/trent-b/iterative-stratification,BSD-3-Clause,2018-02-04 00:32:10.000000,2020-09-12 15:32:44.000000,2020-09-12 15:35:02.000000,50,2.0,11.0,560,47.0,scikit-learn cross validators for iterative stratification of multilabel data.,4.0,19,True,2018-08-12 18:28:50.000000,0.1.6,5.0,iterative-stratification,,,,['sklearn'],149.0,135.0,https://pypi.org/project/iterative-stratification,2018-08-12 18:28:50.000000,14.0,5561.0,5561.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n690,DiCE,interpretml/DiCE,,interpretability,https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000000,2021-05-28 11:51:08.000000,2021-05-24 16:00:46.000000,78,21.0,33.0,548,386.0,Generate Diverse Counterfactual Explanations for any machine learning model.,11.0,19,True,2021-05-10 16:05:55.000000,0.6.1,5.0,dice-ml,,,,\"['tensorflow', 'pytorch']\",0.0,,https://pypi.org/project/dice-ml,2021-05-10 16:05:55.000000,0.0,5426.0,5426.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n691,Orbit,uber/orbit,,probabilistics,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000000,2021-06-03 06:11:53.000000,2021-06-01 15:21:56.000000,35,19.0,187.0,543,619.0,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,10.0,19,True,2021-04-03 01:15:52.000000,1.0.13,12.0,orbit-ml,,,,,4.0,4.0,https://pypi.org/project/orbit-ml,2021-04-03 01:15:52.000000,,797.0,797.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n692,deeplift,kundajelab/deeplift,,interpretability,https://github.com/kundajelab/deeplift,https://github.com/kundajelab/deeplift,MIT,2016-06-01 02:18:06.000000,2020-11-11 19:56:24.000000,2020-11-11 19:56:23.000000,127,29.0,47.0,533,551.0,Public facing deeplift repo.,11.0,19,True,2018-07-13 21:11:52.000000,0.6.6,21.0,deeplift,,,,,50.0,46.0,https://pypi.org/project/deeplift,2020-11-11 09:32:57.000000,4.0,708.0,708.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n693,TF Compression,tensorflow/compression,,tensorflow-utils,https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19.000000,2021-05-14 00:38:32.000000,2021-05-14 00:33:59.000000,175,,65.0,490,171.0,Data compression in TensorFlow.,10.0,19,True,2021-05-14 00:38:32.000000,2.2,11.0,tensorflow-compression,,,,['tensorflow'],1.0,,https://pypi.org/project/tensorflow-compression,2021-05-14 00:25:53.000000,1.0,1239.0,1239.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n694,seglearn,dmbee/seglearn,,time-series-data,https://github.com/dmbee/seglearn,https://github.com/dmbee/seglearn,BSD-3-Clause,2018-03-05 20:53:59.000000,2021-03-13 16:18:30.000000,2021-03-12 17:12:50.000000,47,5.0,22.0,449,268.0,Python module for machine learning time series:.,13.0,19,True,2021-03-13 16:18:30.000000,1.2.3,22.0,seglearn,,,,,9.0,8.0,https://pypi.org/project/seglearn,2021-03-13 16:18:30.000000,1.0,1893.0,1893.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n695,PyKEEN,pykeen/pykeen,,graph,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000000,2021-06-02 14:02:20.000000,2021-06-02 14:02:19.000000,64,62.0,136.0,428,2406.0,A Python library for learning and evaluating knowledge graph embeddings.,19.0,19,True,2021-03-04 16:07:36.000000,1.4.0,35.0,pykeen,,,,,2.0,,https://pypi.org/project/pykeen,2021-02-15 14:13:30.000000,2.0,692.0,698.0,,,,,,,,3.0,79.0,,,,,,,,,,,,,,,,,,,,,\n696,AutoViz,AutoViML/AutoViz,,data-viz,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06.000000,2020-12-21 03:22:01.000000,2020-12-21 03:21:52.000000,66,5.0,21.0,373,97.0,\"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..\",10.0,19,True,2020-12-10 02:33:19.000000,0.0.81,26.0,autoviz,,,,,55.0,55.0,https://pypi.org/project/autoviz,2020-12-10 02:33:19.000000,0.0,3879.0,3879.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n697,animatplot,t-makaro/animatplot,,data-viz,https://github.com/t-makaro/animatplot,https://github.com/t-makaro/animatplot,MIT,2017-04-03 00:54:04.000000,2021-04-07 10:46:25.000000,2020-10-05 06:14:18.000000,33,17.0,16.0,369,178.0,A python package for animating plots build on matplotlib.,7.0,19,True,2020-10-05 06:20:52.000000,0.4.2,10.0,animatplot,conda-forge/animatplot,,,,18.0,16.0,https://pypi.org/project/animatplot,2020-10-05 06:20:52.000000,2.0,374.0,582.0,https://anaconda.org/conda-forge/animatplot,2020-10-06 02:02:00.460000,5839.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n698,MXBoard,awslabs/mxboard,,ml-experiments,https://github.com/awslabs/mxboard,https://github.com/awslabs/mxboard,Apache-2.0,2018-02-06 23:03:51.000000,2020-01-24 23:21:56.000000,2020-01-24 23:21:55.000000,46,16.0,15.0,331,42.0,Logging MXNet data for visualization in TensorBoard.,9.0,19,False,2018-05-22 20:25:51.000000,0.1.0,12.0,mxboard,,,,['mxnet'],117.0,105.0,https://pypi.org/project/mxboard,2018-05-22 20:25:51.000000,12.0,1832.0,1832.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n699,rrcf,kLabUM/rrcf,,others,https://github.com/kLabUM/rrcf,https://github.com/kLabUM/rrcf,MIT,2018-10-20 05:39:05.000000,2021-01-13 23:05:23.000000,2020-06-10 01:07:39.000000,76,20.0,17.0,311,253.0,Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams.,4.0,19,True,2020-06-10 01:53:55.000000,0.4.3,7.0,rrcf,,,,,19.0,19.0,https://pypi.org/project/rrcf,2020-06-10 01:53:55.000000,0.0,4157.0,4157.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n700,textpipe,textpipe/textpipe,,nlp,https://github.com/textpipe/textpipe,https://github.com/textpipe/textpipe,MIT,2018-06-21 16:23:32.000000,2021-03-29 09:42:04.000000,2021-01-25 14:01:56.000000,20,21.0,25.0,291,370.0,Textpipe: clean and extract metadata from text.,27.0,19,True,2021-01-25 14:05:21.000000,0.12.2,39.0,textpipe,,,,,8.0,7.0,https://pypi.org/project/textpipe,2021-01-25 14:05:21.000000,1.0,3131.0,3131.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n701,pandas-ml,pandas-ml/pandas-ml,,others,https://github.com/pandas-ml/pandas-ml,https://github.com/pandas-ml/pandas-ml,BSD-3-Clause,2015-02-21 03:14:04.000000,2020-08-14 12:29:33.000000,2019-03-05 01:36:55.000000,60,24.0,17.0,273,153.0,\"pandas, scikit-learn, xgboost and seaborn integration.\",4.0,19,False,2019-03-05 01:36:12.000000,0.6.1,9.0,pandas-ml,,,,\"['sklearn', 'pandas']\",10.0,,https://pypi.org/project/pandas-ml,2019-03-05 01:35:23.000000,10.0,5374.0,5374.0,,,,,,,,3.0,5.0,,,,,,,,,,,,,,,,,,,,,\n702,pyfasttext,vrasneur/pyfasttext,,nlp,https://github.com/vrasneur/pyfasttext,https://github.com/vrasneur/pyfasttext,GPL-3.0,2017-06-30 18:44:42.000000,2018-12-08 15:32:09.000000,2018-12-08 15:02:12.000000,30,21.0,28.0,229,153.0,Yet another Python binding for fastText.,4.0,19,False,2018-12-08 15:32:09.000000,0.4.6,13.0,pyfasttext,,,,,173.0,160.0,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09.000000,13.0,4188.0,4195.0,,,,,,,,3.0,326.0,,,,,,,,,,,,,,,,,,,,,\n703,imodels,csinva/imodels,,interpretability,https://github.com/csinva/imodels,https://github.com/csinva/imodels,MIT,2019-07-04 15:38:48.000000,2021-05-19 06:49:35.000000,2021-05-19 06:49:29.000000,21,,11.0,219,342.0,\"Interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible).\",3.0,19,True,2021-03-11 18:51:58.000000,0.2.8,8.0,imodels,,,,,7.0,7.0,https://pypi.org/project/imodels,2021-03-11 18:44:07.000000,,367.0,367.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n704,fletcher,xhochy/fletcher,,data-containers,https://github.com/xhochy/fletcher,https://github.com/xhochy/fletcher,MIT,2018-03-04 16:44:22.000000,2021-02-18 14:46:18.000000,2021-02-18 14:46:18.000000,33,34.0,40.0,213,520.0,Pandas ExtensionDType/Array backed by Apache Arrow.,24.0,19,True,2021-01-17 20:11:01.000000,0.7.2,16.0,fletcher,conda-forge/fletcher,,,['pandas'],3.0,3.0,https://pypi.org/project/fletcher,2021-01-17 20:11:01.000000,0.0,173.0,867.0,https://anaconda.org/conda-forge/fletcher,2021-01-17 21:23:17.140000,24302.0,,,,,3.0,12.0,,,,,,,,,,,,,,,,,,,,,\n705,pymap3d,geospace-code/pymap3d,,geospatial-data,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03.000000,2021-05-26 06:22:15.584000,2021-05-25 22:27:09.000000,60,2.0,24.0,191,,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,10.0,19,True,2021-05-25 21:45:42.000000,2.7.0,49.0,pymap3d,conda-forge/pymap3d,,,,6.0,,https://pypi.org/project/pymap3d,2021-05-25 21:45:42.000000,6.0,37257.0,37901.0,https://anaconda.org/conda-forge/pymap3d,2021-05-26 06:22:15.584000,9663.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n706,gokart,m3dev/gokart,,ml-experiments,https://github.com/m3dev/gokart,https://github.com/m3dev/gokart,MIT,2018-12-23 07:40:27.000000,2021-05-11 11:37:45.000000,2021-05-11 11:37:42.000000,32,9.0,35.0,185,411.0,\"Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning..\",26.0,19,True,2021-04-26 01:41:26.000000,1.0.0,56.0,gokart,,,,,2.0,,https://pypi.org/project/gokart,2020-02-25 06:01:19.000000,2.0,598.0,598.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n707,Funsor,pyro-ppl/funsor,,probabilistics,https://github.com/pyro-ppl/funsor,https://github.com/pyro-ppl/funsor,Apache-2.0,2019-01-30 23:13:39.000000,2021-05-26 06:46:21.000000,2021-05-12 23:08:42.000000,15,70.0,67.0,171,534.0,Functional tensors for probabilistic programming.,9.0,19,True,2021-01-24 17:27:54.000000,0.4.0,6.0,funsor,,,,['pytorch'],13.0,13.0,https://pypi.org/project/funsor,2021-01-24 17:26:50.000000,0.0,349.0,349.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n708,flupy,olirice/flupy,,data-pipelines,https://github.com/olirice/flupy,https://github.com/olirice/flupy,MIT,2018-01-06 16:46:04.000000,2021-05-26 18:54:20.000000,2021-05-26 18:54:08.000000,9,,7.0,157,180.0,Fluent data pipelines for python and your shell.,4.0,19,True,2021-05-26 18:53:55.000000,1.1.7,35.0,flupy,,,,,0.0,,https://pypi.org/project/flupy,2021-05-26 18:53:55.000000,0.0,54589.0,54589.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n709,nvidia-ml-py3,nicolargo/nvidia-ml-py3,,gpu-utilities,https://github.com/nicolargo/nvidia-ml-py3,https://github.com/nicolargo/nvidia-ml-py3,BSD-3-Clause,2017-06-03 07:47:03.000000,2019-03-06 20:41:10.000000,2019-03-06 20:41:09.000000,15,2.0,,67,5.0,Python 3 Bindings for the NVIDIA Management Library.,2.0,19,False,2017-06-03 07:43:46.000000,7.352.0,1.0,nvidia-ml-py3,,,,,3594.0,3374.0,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46.000000,220.0,787226.0,787226.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n710,PaddleDetection,PaddlePaddle/PaddleDetection,,image,https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000000,2021-06-03 14:00:56.000000,2021-06-03 08:45:42.000000,986,375.0,1389.0,4124,,Object detection and instance segmentation toolkit based on PaddlePaddle.,60.0,18,True,2021-05-20 11:25:07.000000,2.1.0,3.0,,,,,['paddle'],5.0,5.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n711,LIT,PAIR-code/lit,,interpretability,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000000,2021-06-02 18:20:21.000000,2021-04-05 17:58:30.000000,255,48.0,43.0,2562,,The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and..,14.0,18,True,2021-04-05 19:14:45.000000,0.3,5.0,lit-nlp,,,,,3.0,3.0,https://pypi.org/project/lit-nlp,2021-04-05 19:12:37.000000,,419.0,419.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n712,Kashgari,BrikerMan/Kashgari,,nlp,https://github.com/BrikerMan/Kashgari,https://github.com/BrikerMan/Kashgari,Apache-2.0,2019-01-19 01:53:28.000000,2021-05-05 13:40:19.000000,2021-03-21 02:20:20.000000,400,33.0,316.0,2114,,Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-..,19.0,18,True,2020-10-30 12:37:01.000000,2.0.1,23.0,kashgari-tf,,,,['tensorflow'],36.0,34.0,https://pypi.org/project/kashgari-tf,2019-10-18 07:57:55.000000,2.0,98.0,98.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n713,Mara Pipelines,mara/mara-pipelines,,data-pipelines,https://github.com/mara/mara-pipelines,https://github.com/mara/mara-pipelines,MIT,2018-03-31 20:37:22.000000,2021-03-08 23:02:36.000000,2021-03-08 23:02:33.000000,80,11.0,12.0,1725,134.0,\"A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow.\",16.0,18,True,2021-01-23 22:34:03.000000,3.1.2,7.0,mara-pipelines,,,,,7.0,7.0,https://pypi.org/project/mara-pipelines,2021-01-23 22:34:03.000000,,176.0,176.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n714,Lambda Networks,lucidrains/lambda-networks,,pytorch-utils,https://github.com/lucidrains/lambda-networks,https://github.com/lucidrains/lambda-networks,MIT,2020-10-08 19:01:15.000000,2020-11-18 19:54:34.000000,2020-11-18 19:54:30.000000,153,12.0,15.0,1460,,\"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.\",3.0,18,True,2020-11-18 08:19:23.000000,0.4.0,11.0,lambda-networks,,,,['pytorch'],3.0,3.0,https://pypi.org/project/lambda-networks,2020-11-18 08:19:23.000000,,2214.0,2214.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n715,Backtesting.py,kernc/backtesting.py,,financial-data,https://github.com/kernc/backtesting.py,https://github.com/kernc/backtesting.py,AGPL-3.0,2019-01-02 03:11:32.000000,2021-05-23 20:59:57.000000,2021-04-29 23:59:19.000000,314,35.0,199.0,1368,230.0,Backtest trading strategies in Python.,13.0,18,False,2017-07-22 02:00:06.000000,0.0.1,1.0,backtesting,,,,,2.0,,https://pypi.org/project/backtesting,2017-07-22 02:00:06.000000,2.0,5588.0,5588.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n716,doc2text,jlsutherland/doc2text,,ocr,https://github.com/jlsutherland/doc2text,https://github.com/jlsutherland/doc2text,MIT,2016-08-28 19:30:02.000000,2020-12-01 22:56:27.000000,2020-12-01 22:56:26.000000,92,12.0,9.0,1237,62.0,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,5.0,18,True,2016-09-06 21:59:21.000000,0.2.4,5.0,doc2text,,,,,37.0,37.0,https://pypi.org/project/doc2text,2016-09-06 21:59:21.000000,,613.0,613.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n717,Norfair,tryolabs/norfair,,image,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000000,2021-05-31 21:03:19.000000,2021-05-31 20:57:17.000000,66,5.0,21.0,1018,275.0,Lightweight Python library for adding real-time 2D object tracking to any detector.,9.0,18,True,2021-05-31 21:03:19.000000,0.3.0,11.0,norfair,,,,,,,https://pypi.org/project/norfair,2021-05-31 21:03:19.000000,,605.0,605.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n718,pytorch_geometric_temporal,benedekrozemberczki/pytorch_geometric_temporal,,graph,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,MIT,2020-06-27 01:11:33.000000,2021-05-24 09:01:37.000000,2021-05-24 09:01:37.000000,92,1.0,35.0,779,1547.0,A Temporal Extension Library for PyTorch Geometric.,9.0,18,True,2021-05-19 22:30:02.000000,_00034,32.0,torch-geometric-temporal,,,,['pytorch'],,,https://pypi.org/project/torch-geometric-temporal,2021-05-19 22:28:10.000000,,985.0,985.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n719,Hivemind,learning-at-home/hivemind,,distributed-ml,https://github.com/learning-at-home/hivemind,https://github.com/learning-at-home/hivemind,MIT,2020-02-27 13:50:19.000000,2021-06-01 14:14:08.000000,2021-06-01 14:14:07.000000,42,43.0,38.0,703,355.0,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,16.0,18,True,2021-04-27 13:57:39.000000,0.9.7,9.0,hivemind,,,,,3.0,2.0,https://pypi.org/project/hivemind,2021-04-27 14:16:41.000000,1.0,106.0,106.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n720,sklearn-deap,rsteca/sklearn-deap,,hyperopt,https://github.com/rsteca/sklearn-deap,https://github.com/rsteca/sklearn-deap,MIT,2015-10-28 22:52:34.000000,2019-12-03 13:29:06.000000,2019-12-03 13:29:04.000000,109,21.0,31.0,639,98.0,Use evolutionary algorithms instead of gridsearch in scikit-learn.,21.0,18,False,2019-07-15 09:24:09.000000,0.2.4,13.0,sklearn-deap,,,,['sklearn'],27.0,25.0,https://pypi.org/project/sklearn-deap,2019-07-15 09:24:09.000000,2.0,579.0,579.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n721,Dragonfly,dragonfly/dragonfly,,hyperopt,https://github.com/dragonfly/dragonfly,https://github.com/dragonfly/dragonfly,MIT,2018-04-20 22:19:50.000000,2020-07-26 17:44:31.000000,2020-07-03 18:01:17.000000,79,25.0,17.0,584,397.0,An open source python library for scalable Bayesian optimisation.,12.0,18,True,2020-07-03 18:05:12.000000,0.1.6,9.0,dragonfly-opt,,,,,2.0,,https://pypi.org/project/dragonfly-opt,2020-07-03 18:05:12.000000,2.0,20769.0,20769.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n722,robustness,MadryLab/robustness,,adversarial,https://github.com/MadryLab/robustness,https://github.com/MadryLab/robustness,MIT,2019-08-21 09:26:33.000000,2021-04-23 19:38:21.000000,2021-03-04 15:19:19.000000,100,9.0,52.0,537,139.0,\"A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.\",12.0,18,True,2020-12-01 06:11:12.000000,1.2.1.post2,10.0,robustness,,,,,55.0,53.0,https://pypi.org/project/robustness,2020-12-01 06:21:33.000000,2.0,412.0,412.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n723,SKLL,EducationalTestingService/skll,,ml-experiments,https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,BSD-1-Clause,2013-08-02 14:31:46.000000,2021-05-14 14:51:58.000000,2021-04-30 14:40:12.000000,64,38.0,348.0,525,,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,35.0,18,False,2021-02-26 03:01:01.000000,2.5,64.0,skll,,,,['sklearn'],47.0,30.0,https://pypi.org/project/skll,2020-03-13 16:23:35.000000,17.0,441.0,441.0,,,,,,,,3.0,10.0,,,,,,,,,,,,,,,,,,,,,\n724,tcav,tensorflow/tcav,,interpretability,https://github.com/tensorflow/tcav,https://github.com/tensorflow/tcav,Apache-2.0,2018-07-03 17:45:35.000000,2021-05-21 14:32:07.000000,2021-05-07 12:33:34.000000,110,3.0,47.0,464,164.0,Code for the TCAV ML interpretability project.,19.0,18,True,2021-02-23 16:17:42.000000,0.2.2,4.0,tcav,,,,['tensorflow'],8.0,6.0,https://pypi.org/project/tcav,2021-02-23 16:17:42.000000,2.0,114.0,114.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n725,Baal,ElementAI/baal,,probabilistics,https://github.com/ElementAI/baal,https://github.com/ElementAI/baal,Apache-2.0,2019-09-30 20:16:26.000000,2021-05-20 15:23:12.000000,2021-05-20 15:23:11.000000,33,11.0,33.0,355,107.0,Using approximate bayesian posteriors in deep nets for active learning.,8.0,18,True,2021-03-16 13:48:22.000000,1.3.0,8.0,baal,,,,,8.0,8.0,https://pypi.org/project/baal,2021-03-16 13:38:39.000000,,311.0,311.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n726,tick,X-DataInitiative/tick,,time-series-data,https://github.com/X-DataInitiative/tick,https://github.com/X-DataInitiative/tick,BSD-3-Clause,2016-12-01 10:59:08.000000,2020-08-11 12:36:43.000000,2020-06-15 12:01:36.000000,78,55.0,161.0,343,413.0,\"Module for statistical learning, with a particular emphasis on time-dependent modelling.\",16.0,18,True,2019-09-11 11:25:15.000000,0.6,23.0,tick,,,,,36.0,35.0,https://pypi.org/project/tick,2020-05-24 22:01:17.000000,1.0,1244.0,1247.0,,,,,,,,3.0,162.0,,,,,,,,,,,,,,,,,,,,,\n727,Camphr,PKSHATechnology-Research/camphr,,nlp,https://github.com/PKSHATechnology-Research/camphr,https://github.com/PKSHATechnology-Research/camphr,Apache-2.0,2020-02-10 03:39:58.000000,2021-05-21 09:50:00.000000,2021-05-21 09:33:33.000000,17,7.0,23.0,331,1399.0,\"spaCy plugin for Transformers , Udify, ELmo, etc.\",7.0,18,True,2021-03-05 10:59:35.000000,0.8.8,45.0,camphr,,,,['spacy'],0.0,,https://pypi.org/project/camphr,2021-03-05 10:59:35.000000,0.0,495.0,495.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n728,apricot,jmschrei/apricot,,others,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12.000000,2021-02-18 03:37:56.000000,2021-02-18 03:37:55.000000,29,3.0,14.0,319,167.0,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,2.0,18,True,2020-09-28 07:19:15.000000,0.6.0,13.0,apricot-select,,,,,17.0,17.0,https://pypi.org/project/apricot-select,2020-09-28 07:19:15.000000,0.0,1166.0,1166.0,,,,,,,,3.0,8.0,,,,,,,,,,,,,,,,,,,,,\n729,Sherpa,sherpa-ai/sherpa,,hyperopt,https://github.com/sherpa-ai/sherpa,https://github.com/sherpa-ai/sherpa,GPL-3.0,2018-05-16 21:41:54.000000,2020-10-18 07:57:50.000000,2020-10-18 07:57:48.000000,44,12.0,41.0,295,823.0,\"Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.\",43.0,18,False,2020-07-31 05:29:09.000000,1.0.7,8.0,parameter-sherpa,,,,,13.0,11.0,https://pypi.org/project/parameter-sherpa,2019-11-23 21:32:27.000000,2.0,553.0,553.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n730,scikit-tda,scikit-tda/scikit-tda,,sklearn-utils,https://github.com/scikit-tda/scikit-tda,https://github.com/scikit-tda/scikit-tda,MIT,2018-04-13 21:00:31.000000,2021-01-09 19:51:04.000000,2021-01-09 19:50:05.000000,32,11.0,4.0,286,56.0,Topological Data Analysis for Python.,2.0,18,True,2021-01-09 19:51:04.000000,0.1.0,3.0,scikit-tda,,,,['sklearn'],20.0,20.0,https://pypi.org/project/scikit-tda,2021-01-09 19:51:04.000000,,2905.0,2905.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n731,recmetrics,statisticianinstilettos/recmetrics,,recommender-systems,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49.000000,2020-12-03 21:21:02.000000,2020-12-03 21:21:00.000000,60,5.0,7.0,271,233.0,A library of metrics for evaluating recommender systems.,12.0,18,True,2019-03-05 04:11:15.000000,0.0.12,14.0,recmetrics,,,,,19.0,19.0,https://pypi.org/project/recmetrics,2019-03-05 04:11:15.000000,,397.0,397.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n732,sk-dist,Ibotta/sk-dist,,distributed-ml,https://github.com/Ibotta/sk-dist,https://github.com/Ibotta/sk-dist,Apache-2.0,2019-08-14 21:07:17.000000,2021-03-01 23:05:15.000000,2021-03-01 23:05:11.000000,45,7.0,9.0,267,47.0,Distributed scikit-learn meta-estimators in PySpark.,6.0,18,True,2020-05-14 22:20:14.000000,0.1.9,12.0,sk-dist,,,,\"['sklearn', 'spark']\",8.0,6.0,https://pypi.org/project/sk-dist,2020-05-14 22:20:14.000000,2.0,10000.0,10000.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n733,somoclu,peterwittek/somoclu,,distributed-ml,https://github.com/peterwittek/somoclu,https://github.com/peterwittek/somoclu,MIT,2013-01-16 06:33:16.000000,2020-10-13 18:39:07.609000,2020-07-24 13:00:47.000000,56,26.0,104.0,229,590.0,\"Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters.\",17.0,18,True,2018-03-03 02:44:37.000000,1.7.5,17.0,somoclu,conda-forge/somoclu,,,,4.0,,https://pypi.org/project/somoclu,2020-04-25 05:33:32.000000,4.0,773.0,1850.0,https://anaconda.org/conda-forge/somoclu,2020-10-13 18:39:07.609000,48670.0,,,,,3.0,1482.0,,,,,,,,,,,,,,,,,,,,,\n734,fairness-indicators,tensorflow/fairness-indicators,,interpretability,https://github.com/tensorflow/fairness-indicators,https://github.com/tensorflow/fairness-indicators,Apache-2.0,2019-09-30 22:56:45.000000,2021-06-02 19:33:58.000000,2021-06-02 19:33:51.000000,59,15.0,7.0,203,263.0,Tensorflow's Fairness Evaluation and Visualization Toolkit.,20.0,18,True,2021-05-25 23:38:51.000000,0.30.1,18.0,fairness-indicators,,,,\"['tensorflow', 'jupyter']\",,,https://pypi.org/project/fairness-indicators,2021-05-25 23:38:51.000000,,839.0,839.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n735,Muda,bmcfee/muda,,audio,https://github.com/bmcfee/muda,https://github.com/bmcfee/muda,ISC,2014-11-07 21:21:22.000000,2021-05-03 14:04:37.000000,2021-05-03 14:04:36.000000,33,5.0,44.0,187,293.0,A library for augmenting annotated audio data.,7.0,18,True,2019-11-15 15:46:21.000000,0.4.1,11.0,muda,,,,,10.0,9.0,https://pypi.org/project/muda,2019-11-15 15:46:21.000000,1.0,138.0,138.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n736,BatchFlow,analysiscenter/batchflow,,data-pipelines,https://github.com/analysiscenter/batchflow,https://github.com/analysiscenter/batchflow,Apache-2.0,2017-03-13 14:22:53.000000,2021-06-03 15:24:44.000000,2021-06-03 15:09:50.000000,36,46.0,64.0,158,4532.0,BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and..,30.0,18,True,2021-03-05 13:23:43.000000,0.5.0beta3,6.0,batchflow,,,,,,,https://pypi.org/project/batchflow,2021-03-05 13:45:58.000000,,62.0,62.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n737,DALI,NVIDIA/DALI,,gpu-utilities,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000000,2021-06-03 10:44:23.000000,2021-06-02 15:39:02.000000,399,171.0,820.0,3306,,A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to..,57.0,17,True,2021-05-24 12:59:54.000000,1.2.0,40.0,,,,,,,,,,,,,,,,,,,,3.0,,-3.0,,,,,,,,,,,,,,,,,,,,\n738,ReAgent,facebookresearch/ReAgent,,reinforcement-learning,https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000000,2021-06-03 05:26:13.000000,2021-06-03 05:25:50.000000,401,20.0,75.0,2910,1204.0,\"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).\",97.0,17,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n739,Spotlight,maciejkula/spotlight,,recommender-systems,https://github.com/maciejkula/spotlight,https://github.com/maciejkula/spotlight,MIT,2017-06-25 18:52:19.000000,2020-11-15 08:21:28.000000,2020-02-09 21:03:48.000000,372,67.0,48.0,2505,299.0,Deep recommender models using PyTorch.,11.0,17,False,2019-09-08 10:19:53.000000,0.1.6,7.0,,maciejkula/spotlight,,,['pytorch'],,,,,,,129.0,https://anaconda.org/maciejkula/spotlight,2018-05-27 18:32:12.235000,6235.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n740,opyrator,ml-tooling/opyrator,,others,https://github.com/ml-tooling/opyrator,https://github.com/ml-tooling/opyrator,MIT,2021-04-06 08:09:06.000000,2021-06-02 04:27:49.000000,2021-05-06 12:10:38.000000,86,14.0,6.0,2205,,\"Turns your machine learning code into microservices with web API, interactive GUI, and more.\",4.0,17,True,2021-05-04 18:48:03.000000,0.0.12,11.0,opyrator,,,,,9.0,9.0,https://pypi.org/project/opyrator,2021-05-04 18:48:03.000000,,583.0,583.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n741,spark-deep-learning,databricks/spark-deep-learning,,data-pipelines,https://github.com/databricks/spark-deep-learning,https://github.com/databricks/spark-deep-learning,Apache-2.0,2017-05-31 17:30:28.000000,2021-01-20 15:05:13.000000,2021-01-20 15:00:20.000000,446,73.0,27.0,1842,135.0,Deep Learning Pipelines for Apache Spark.,15.0,17,True,2020-01-08 19:50:31.000000,1.6.0,9.0,,,,,['spark'],17.0,17.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n742,pycls,facebookresearch/pycls,,image,https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17.000000,2021-05-21 00:29:47.000000,2021-05-21 00:14:44.000000,176,15.0,49.0,1575,82.0,\"Codebase for Image Classification Research, written in PyTorch.\",11.0,17,True,2021-05-21 00:29:47.000000,0.2,2.0,,,,,['pytorch'],3.0,3.0,,,,,,,,,,,,,3.0,,2.0,,,,,,,,,,,,,,,,,,,,\n743,riko,nerevu/riko,,data-pipelines,https://github.com/nerevu/riko,https://github.com/nerevu/riko,MIT,2016-06-02 12:22:51.000000,2020-08-14 18:29:28.000000,2020-08-14 16:47:45.000000,72,22.0,8.0,1563,1257.0,A Python stream processing engine modeled after Yahoo! Pipes.,18.0,17,True,2020-08-14 18:29:28.000000,0.66.0,58.0,riko,,,,,1.0,,https://pypi.org/project/riko,2020-08-14 18:29:28.000000,1.0,80.0,80.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n744,BlazingSQL,BlazingDB/blazingsql,,gpu-utilities,https://github.com/BlazingDB/blazingsql,https://github.com/BlazingDB/blazingsql,Apache-2.0,2018-09-24 18:25:45.000000,2021-06-03 15:18:47.000000,2021-06-03 02:38:57.000000,140,129.0,576.0,1511,,\"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.\",43.0,17,True,2021-04-21 21:35:59.000000,0.19.0,17.0,,blazingsql/blazingsql-protocol,,,,,,,,,,43.0,https://anaconda.org/blazingsql/blazingsql-protocol,2019-11-11 19:54:17.621000,920.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n745,Advisor,tobegit3hub/advisor,,hyperopt,https://github.com/tobegit3hub/advisor,https://github.com/tobegit3hub/advisor,Apache-2.0,2017-09-14 03:50:33.000000,2019-11-11 07:09:57.869705,2019-11-11 06:59:31.000000,249,20.0,13.0,1378,165.0,Open-source implementation of Google Vizier for hyper parameters tuning.,11.0,17,False,2018-10-18 02:54:09.000000,0.1.6,4.0,advisor,,tobegit3hub/advisor,,,,,https://pypi.org/project/advisor,2018-10-18 02:54:09.000000,,48.0,83.0,,,,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1593.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n746,aim,aimhubio/aim,,ml-experiments,https://github.com/aimhubio/aim,https://github.com/aimhubio/aim,Apache-2.0,2019-05-31 18:25:07.000000,2021-06-03 13:55:27.000000,2021-06-03 08:59:35.000000,74,97.0,84.0,1278,,\"Aim a super-easy way to record, search and compare 1000s of ML training runs.\",12.0,17,True,2019-11-06 08:06:11.000000,3.1.0,57.0,aim,,,,,2.0,,https://pypi.org/project/aim,2021-05-27 08:34:38.000000,2.0,5875.0,5875.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n747,zenml,maiot-io/zenml,,data-pipelines,https://github.com/maiot-io/zenml,https://github.com/maiot-io/zenml,Apache-2.0,2020-11-19 09:25:46.000000,2021-06-01 16:21:31.000000,2021-06-01 16:17:19.000000,60,16.0,30.0,1158,,ZenML : MLOps framework to create reproducible ML pipelines for production machine learning.,12.0,17,True,2021-04-22 15:43:15.000000,0.3.7,31.0,zenml,,,,,1.0,1.0,https://pypi.org/project/zenml,2021-05-17 14:38:31.000000,,407.0,407.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n748,AdvBox,advboxes/AdvBox,,adversarial,https://github.com/advboxes/AdvBox,https://github.com/advboxes/AdvBox,Apache-2.0,2018-08-08 08:55:41.000000,2021-05-21 15:07:20.000000,2021-05-03 22:51:52.000000,233,8.0,29.0,1095,375.0,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,19.0,17,True,2018-12-05 02:48:50.000000,0.4.1,2.0,advbox,,,,,,,https://pypi.org/project/advbox,2018-12-05 02:48:50.000000,,67.0,67.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n749,sklearn-porter,nok/sklearn-porter,,model-serialisation,https://github.com/nok/sklearn-porter,https://github.com/nok/sklearn-porter,MIT,2016-06-22 22:21:34.000000,2021-06-01 22:52:09.000000,2019-12-18 13:31:50.000000,138,42.0,29.0,1039,699.0,\"Transpile trained scikit-learn estimators to C, Java, JavaScript and others.\",11.0,17,False,2019-12-18 13:39:19.000000,0.7.4,20.0,sklearn-porter,,,,['sklearn'],1.0,,https://pypi.org/project/sklearn-porter,2019-12-18 13:39:19.000000,1.0,627.0,627.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n750,cuGraph,rapidsai/cugraph,,gpu-utilities,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000000,2021-06-03 15:11:20.000000,2021-06-03 15:06:04.000000,149,110.0,549.0,725,,cuGraph - RAPIDS Graph Analytics Library.,63.0,17,True,2021-04-21 19:49:25.000000,0.19.0,8.0,cugraph,,,,,0.0,,https://pypi.org/project/cugraph,2020-06-01 20:09:06.000000,0.0,91.0,91.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n751,ADTK,arundo/adtk,,time-series-data,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22.000000,2020-04-29 19:54:40.000000,2020-04-17 02:27:44.000000,84,24.0,31.0,665,78.0,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,11.0,17,False,2020-04-17 02:18:00.000000,0.6.2,13.0,adtk,,,,,,,https://pypi.org/project/adtk,2020-04-17 02:18:00.000000,,48950.0,48950.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n752,Tensor Sensor,parrt/tensor-sensor,,pytorch-utils,https://github.com/parrt/tensor-sensor,https://github.com/parrt/tensor-sensor,MIT,2020-08-28 22:54:04.000000,2021-05-26 23:19:21.000000,2021-05-26 23:19:17.000000,27,5.0,13.0,556,167.0,The goal of this library is to generate more helpful exception messages for numpy/pytorch matrix algebra expressions.,2.0,17,True,2021-05-26 23:15:44.000000,0.1.2,35.0,tensor-sensor,,,,['pytorch'],2.0,2.0,https://pypi.org/project/tensor-sensor,2021-05-26 23:15:44.000000,,269.0,269.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n753,Vulkan Kompute,EthicalML/vulkan-kompute,,gpu-utilities,https://github.com/EthicalML/vulkan-kompute,https://github.com/EthicalML/vulkan-kompute,Apache-2.0,2020-07-29 05:23:33.000000,2021-05-30 19:21:20.000000,2021-05-30 19:21:20.000000,33,50.0,95.0,402,869.0,\"General purpose GPU compute framework for cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast,..\",13.0,17,True,2021-03-14 16:03:43.000000,0.7.0,11.0,kp,,,,,2.0,2.0,https://pypi.org/project/kp,2021-03-14 15:37:22.000000,,126.0,131.0,,,,,,,,3.0,55.0,,,,,,,,,,,,,,,,,,,,,\n754,datmo,datmo/datmo,,ml-experiments,https://github.com/datmo/datmo,https://github.com/datmo/datmo,MIT,2017-11-03 05:46:43.000000,2021-06-01 22:48:33.000000,2019-11-29 00:48:44.000000,28,42.0,149.0,334,1051.0,Open source production model management tool for data scientists.,6.0,17,False,2018-12-07 06:16:42.000000,0.0.40,41.0,datmo,,,,,5.0,5.0,https://pypi.org/project/datmo,2018-12-07 06:16:42.000000,,72.0,72.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n755,Auto TS,AutoViML/Auto_TS,,time-series-data,https://github.com/AutoViML/Auto_TS,https://github.com/AutoViML/Auto_TS,Apache-2.0,2020-02-15 15:23:32.000000,2021-03-14 19:58:41.000000,2021-03-14 19:58:35.000000,45,10.0,31.0,243,234.0,\"Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of..\",6.0,17,True,2021-03-14 04:16:59.000000,0.0.36,15.0,auto-ts,,,,,,,https://pypi.org/project/auto-ts,2021-03-14 04:16:59.000000,,736.0,736.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n756,elegy,poets-ai/elegy,,ml-frameworks,https://github.com/poets-ai/elegy,https://github.com/poets-ai/elegy,Apache-2.0,2020-06-30 14:00:37.000000,2021-06-01 16:05:08.000000,2021-06-01 16:05:00.000000,12,21.0,38.0,217,304.0,Elegy is a framework-agnostic Trainer interface for the Jax ecosystem.,13.0,17,True,2021-06-01 15:54:50.000000,0.7.4,23.0,elegy,,,,\"['tensorflow', 'jax']\",,,https://pypi.org/project/elegy,2021-06-01 15:45:43.000000,,379.0,379.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n757,model-card-toolkit,tensorflow/model-card-toolkit,,interpretability,https://github.com/tensorflow/model-card-toolkit,https://github.com/tensorflow/model-card-toolkit,Apache-2.0,2020-07-24 16:48:58.000000,2021-06-02 23:05:35.000000,2021-06-02 23:05:28.000000,28,12.0,2.0,197,124.0,a tool that leverages rich metadata and lineage information in MLMD to build a model card.,10.0,17,True,2021-02-05 20:56:01.000000,0.1.3,4.0,model-card-toolkit,,,,,2.0,2.0,https://pypi.org/project/model-card-toolkit,2021-02-05 20:54:29.000000,,280.0,280.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n758,Julius,adefossez/julius,,audio,https://github.com/adefossez/julius,https://github.com/adefossez/julius,MIT,2020-10-26 10:54:21.000000,2021-04-26 17:36:33.000000,2021-04-26 17:34:54.000000,7,1.0,4.0,191,,Fast PyTorch based DSP for audio and 1D signals.,2.0,17,True,2021-03-03 09:48:59.000000,0.2.3,7.0,julius,,,,['pytorch'],13.0,13.0,https://pypi.org/project/julius,2021-03-03 09:48:59.000000,0.0,4491.0,4491.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n759,dabl,amueller/dabl,,sklearn-utils,https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49.000000,2021-05-29 00:00:25.000000,2020-07-08 16:14:41.000000,7,1.0,,77,252.0,Data Analysis Baseline Library.,18.0,17,False,2021-02-27 01:25:17.000000,0.2.0,11.0,dabl,,,,['sklearn'],,,https://pypi.org/project/dabl,2021-02-27 01:25:17.000000,,1714.0,1714.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n760,DeepMind Lab,deepmind/lab,,reinforcement-learning,https://github.com/deepmind/lab,https://github.com/deepmind/lab,GPL-2.0,2016-11-30 13:41:26.000000,2021-05-27 11:52:15.000000,2021-05-27 11:51:34.000000,1310,39.0,157.0,6465,484.0,A customisable 3D platform for agent-based AI research.,7.0,16,False,2020-12-07 11:26:33.000000,release-2020-12-07,8.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n761,tinygrad,geohot/tinygrad,,pytorch-utils,https://github.com/geohot/tinygrad,https://github.com/geohot/tinygrad,MIT,2020-10-18 16:23:12.000000,2021-06-03 15:01:51.000000,2021-06-02 16:57:15.000000,497,19.0,63.0,4418,520.0,You like pytorch? You like micrograd? You love tinygrad!.,44.0,16,True,,,,,,,,['pytorch'],1.0,1.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n762,PySlowFast,facebookresearch/SlowFast,,image,https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26.000000,2021-06-03 10:22:40.000000,2021-06-03 10:22:35.000000,719,199.0,199.0,3781,126.0,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,23.0,16,True,,,,,,,,['pytorch'],4.0,4.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n763,automl-gs,minimaxir/automl-gs,,hyperopt,https://github.com/minimaxir/automl-gs,https://github.com/minimaxir/automl-gs,MIT,2019-01-13 18:57:44.000000,2019-10-22 11:20:40.000000,2019-04-05 06:48:14.000000,164,26.0,6.0,1741,102.0,\"Provide an input CSV and a target field to predict, generate a model + code to run it.\",7.0,16,False,2019-04-05 06:51:04.000000,0.2.1,2.0,automl_gs,,,,,,,https://pypi.org/project/automl_gs,2019-04-05 06:47:54.000000,,41.0,41.0,,,,,,,,3.0,21.0,,,,,,,,,,,,,,,,,,,,,\n764,Antialiased CNNs,adobe/antialiased-cnns,,pytorch-utils,https://github.com/adobe/antialiased-cnns,https://github.com/adobe/antialiased-cnns,CC BY-NC-SA 4.0,2019-05-14 20:51:25.000000,2021-03-01 18:01:57.000000,2020-10-22 19:40:07.000000,178,9.0,31.0,1386,238.0,pip install antialiased-cnns to improve stability and accuracy.,6.0,16,False,2020-10-23 22:45:52.000000,0.3,6.0,antialiased-cnns,,,,['pytorch'],,,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49.000000,,648.0,648.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n765,Xcessiv,reiinakano/xcessiv,,hyperopt,https://github.com/reiinakano/xcessiv,https://github.com/reiinakano/xcessiv,Apache-2.0,2017-03-07 18:18:25.000000,2018-06-06 22:23:37.000000,2017-08-21 00:51:15.000000,109,22.0,13.0,1258,316.0,\"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.\",6.0,16,False,2017-08-21 00:53:25.000000,0.5.1,34.0,xcessiv,,,,,2.0,1.0,https://pypi.org/project/xcessiv,2017-08-21 00:49:41.000000,1.0,31.0,31.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n766,Botflow,kkyon/botflow,,data-pipelines,https://github.com/kkyon/botflow,https://github.com/kkyon/botflow,BSD-3-Clause,2018-08-20 03:13:31.000000,2020-12-31 09:03:22.000000,2019-05-23 14:40:50.000000,99,2.0,2.0,1170,192.0,\"Python Fast Dataflow programming framework for Data pipeline work( Web Crawler,Machine Learning,Quantitative..\",11.0,16,False,2018-09-14 14:38:32.000000,0.2.0,5.0,botflow,,,,,1.0,1.0,https://pypi.org/project/botflow,2018-09-14 14:38:32.000000,,43.0,43.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n767,CrypTen,facebookresearch/CrypTen,,privacy-ml,https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000000,2021-06-02 23:16:35.000000,2021-06-02 23:16:31.000000,112,27.0,44.0,808,274.0,A framework for Privacy Preserving Machine Learning.,24.0,16,True,2020-04-21 13:59:37.000000,0.1,1.0,crypten,,,,['pytorch'],7.0,7.0,https://pypi.org/project/crypten,2020-02-05 18:53:03.000000,,144.0,144.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n768,torchsde,google-research/torchsde,,pytorch-utils,https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11.000000,2021-05-31 11:32:56.000000,2021-05-12 01:21:37.000000,71,7.0,31.0,747,152.0,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,4.0,16,True,2021-01-05 18:31:38.000000,0.2.4,4.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n769,MedicalTorch,perone/medicaltorch,,medical-data,https://github.com/perone/medicaltorch,https://github.com/perone/medicaltorch,Apache-2.0,2018-02-27 02:50:07.000000,2021-04-16 18:50:54.000000,2021-04-16 18:50:54.000000,107,14.0,9.0,736,57.0,A medical imaging framework for Pytorch.,8.0,16,True,2018-11-24 00:33:11.000000,0.2,2.0,medicaltorch,,,,['pytorch'],10.0,10.0,https://pypi.org/project/medicaltorch,2018-11-24 00:29:36.000000,,147.0,147.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n770,SpeedTorch,Santosh-Gupta/SpeedTorch,,gpu-utilities,https://github.com/Santosh-Gupta/SpeedTorch,https://github.com/Santosh-Gupta/SpeedTorch,MIT,2019-09-07 18:57:52.000000,2020-02-21 23:13:29.000000,2020-02-21 23:13:28.000000,37,3.0,2.0,620,170.0,Library for faster pinned CPU - GPU transfer in Pytorch.,3.0,16,False,2020-01-06 05:27:17.000000,0.1.6,14.0,SpeedTorch,,,,['pytorch'],5.0,3.0,https://pypi.org/project/SpeedTorch,2020-01-06 05:27:17.000000,2.0,64.0,64.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n771,Tez,abhishekkrthakur/tez,,pytorch-utils,https://github.com/abhi1thakur/tez,https://github.com/abhi1thakur/tez,Apache-2.0,2020-11-13 10:19:22.000000,2021-05-14 20:03:19.000000,2021-05-05 18:56:37.000000,80,13.0,7.0,606,,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,2.0,16,True,2021-05-05 18:57:21.000000,0.1.4,10.0,tez,,,,['pytorch'],6.0,6.0,https://pypi.org/project/tez,2021-05-05 18:57:21.000000,0.0,858.0,858.0,,,,,,,,3.0,,,,,,,,,,,,,abhi1thakur/tez,,,,,,,,,\n772,AlphaPy,ScottfreeLLC/AlphaPy,,hyperopt,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32.000000,2021-02-08 21:35:40.000000,2021-02-08 21:35:40.000000,136,9.0,29.0,602,409.0,\"Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost.\",3.0,16,True,2020-08-29 18:48:20.000000,2.5.0,25.0,alphapy,,,,,2.0,2.0,https://pypi.org/project/alphapy,2020-08-29 18:44:15.000000,,152.0,152.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n773,ThunderGBM,Xtra-Computing/thundergbm,,ml-frameworks,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08.000000,2021-04-01 02:08:51.000000,2021-01-05 04:22:15.000000,75,22.0,28.0,598,606.0,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,10.0,16,True,2020-05-01 23:16:25.000000,0.3.16,24.0,thundergbm,,,,,,,https://pypi.org/project/thundergbm,2020-05-01 23:16:25.000000,,69.0,69.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n774,FlashTorch,MisaOgura/flashtorch,,interpretability,https://github.com/MisaOgura/flashtorch,https://github.com/MisaOgura/flashtorch,MIT,2019-03-22 13:00:57.000000,2021-04-27 12:50:10.000000,2021-04-27 11:10:20.000000,68,9.0,21.0,597,127.0,Visualization toolkit for neural networks in PyTorch! Demo --.,2.0,16,True,2020-05-29 14:39:38.000000,0.1.3,12.0,flashtorch,,,,['pytorch'],6.0,6.0,https://pypi.org/project/flashtorch,2020-05-29 14:38:32.000000,,208.0,208.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n775,Auto Tune Models,HDI-Project/ATM,,hyperopt,https://github.com/HDI-Project/ATM,https://github.com/HDI-Project/ATM,MIT,2016-10-14 18:03:00.000000,2020-02-21 17:44:07.000000,2020-02-21 17:40:58.000000,128,17.0,71.0,509,775.0,\"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).\",16.0,16,False,2019-07-30 09:28:26.000000,0.2.2,14.0,atm,,,,,6.0,6.0,https://pypi.org/project/atm,2019-07-30 09:25:11.000000,,110.0,110.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n776,kglib,graknlabs/kglib,,graph,https://github.com/vaticle/kglib,https://github.com/vaticle/kglib,Apache-2.0,2018-09-16 16:46:48.000000,2021-05-31 07:19:24.000000,2021-01-15 11:17:51.000000,82,8.0,49.0,428,487.0,Grakn Knowledge Graph Library (ML R&D).,7.0,16,True,2020-08-19 15:39:10.000000,0.2.2,7.0,grakn-kglib,,,,,,,https://pypi.org/project/grakn-kglib,2020-08-19 15:39:10.000000,,104.0,111.0,,,,,,,,3.0,207.0,,,,,,,,,,,,vaticle/kglib,,,,,,,,,\n777,OpenRec,ylongqi/openrec,,recommender-systems,https://github.com/ylongqi/openrec,https://github.com/ylongqi/openrec,Apache-2.0,2017-11-29 16:04:40.000000,2021-05-21 14:50:17.000000,2020-02-19 07:57:17.000000,82,4.0,12.0,371,213.0,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms.,11.0,16,False,2020-02-18 06:52:11.000000,0.3.0,12.0,openrec,,,,,2.0,1.0,https://pypi.org/project/openrec,2020-02-18 06:52:11.000000,1.0,28.0,28.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n778,atspy,firmai/atspy,,time-series-data,https://github.com/firmai/atspy,https://github.com/firmai/atspy,MIT,2020-01-28 05:00:10.000000,2021-05-21 16:09:11.000000,2020-11-12 16:15:26.000000,68,18.0,2.0,356,97.0,AtsPy: Automated Time Series Models in Python (by @firmai).,5.0,16,True,2020-11-12 16:10:48.000000,zen,39.0,atspy,,,,,3.0,3.0,https://pypi.org/project/atspy,2020-04-24 18:16:15.000000,,804.0,804.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n779,Sematch,gsi-upm/sematch,,graph,https://github.com/gsi-upm/sematch,https://github.com/gsi-upm/sematch,Apache-2.0,2012-11-30 11:11:53.000000,2020-11-05 21:20:52.000000,2019-03-27 03:17:24.000000,99,14.0,19.0,352,122.0,semantic similarity framework for knowledge graph.,5.0,16,False,2017-04-17 10:56:52.000000,1.0.4,5.0,sematch,,,,,32.0,29.0,https://pypi.org/project/sematch,2017-04-17 10:56:52.000000,3.0,132.0,132.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n780,pdvega,altair-viz/pdvega,,data-viz,https://github.com/altair-viz/pdvega,https://github.com/altair-viz/pdvega,MIT,2018-01-11 21:30:27.000000,2019-03-29 16:09:14.000000,2019-03-29 16:09:13.000000,29,16.0,10.0,340,177.0,Interactive plotting for Pandas using Vega-Lite.,9.0,16,False,,,1.0,pdvega,,,,,56.0,49.0,https://pypi.org/project/pdvega,2018-02-01 04:56:43.000000,7.0,127.0,127.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n781,VizSeq,facebookresearch/vizseq,,nlp,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38.000000,2021-05-28 16:38:20.000000,2021-05-28 16:38:14.000000,40,7.0,8.0,337,48.0,\"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).\",3.0,16,True,2020-08-07 01:13:52.000000,0.1.15,16.0,vizseq,,,,,2.0,2.0,https://pypi.org/project/vizseq,2020-08-07 01:13:52.000000,,220.0,220.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n782,Case Recommender,caserec/CaseRecommender,,recommender-systems,https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39.000000,2020-05-26 22:44:05.000000,2020-05-26 22:44:05.000000,71,7.0,16.0,330,201.0,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems.,10.0,16,False,2019-08-20 13:48:43.000000,1.1.0,41.0,caserecommender,,,,['sklearn'],9.0,9.0,https://pypi.org/project/caserecommender,2019-08-20 13:48:43.000000,,64.0,64.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n783,Pywick,achaiah/pywick,,pytorch-utils,https://github.com/achaiah/pywick,https://github.com/achaiah/pywick,MIT,2019-03-25 15:42:47.000000,2021-05-17 15:46:51.000000,2021-05-17 15:46:51.000000,36,3.0,9.0,326,124.0,High-level batteries-included neural network training library for Pytorch.,4.0,16,True,2020-01-20 22:14:21.000000,0.5.6,6.0,pywick,,,,['pytorch'],3.0,3.0,https://pypi.org/project/pywick,2020-01-20 22:14:21.000000,,65.0,65.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n784,DeepGraph,deepgraph/deepgraph,,graph,https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45.000000,2021-01-15 08:36:25.609000,2020-10-01 13:17:00.000000,35,8.0,5.0,237,160.0,Analyze Data with Pandas-based Networks. Documentation:.,2.0,16,True,2020-10-01 13:20:38.000000,0.2.3,13.0,deepgraph,conda-forge/deepgraph,,,['pandas'],1.0,1.0,https://pypi.org/project/deepgraph,2020-10-01 13:18:38.000000,,847.0,2929.0,https://anaconda.org/conda-forge/deepgraph,2021-01-15 08:36:25.609000,95789.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n785,skift,shaypal5/skift,,nlp,https://github.com/shaypal5/skift,https://github.com/shaypal5/skift,MIT,2018-02-03 11:37:21.000000,2021-03-31 10:11:28.000000,2021-03-31 10:11:20.000000,22,2.0,8.0,217,129.0,scikit-learn wrappers for Python fastText.,7.0,16,True,2020-08-27 15:01:05.000000,0.0.19,15.0,skift,,,,['sklearn'],8.0,8.0,https://pypi.org/project/skift,2020-08-27 15:01:05.000000,,422.0,422.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n786,ExplainX.ai,explainX/explainx,,interpretability,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15.000000,2021-02-07 11:06:21.000000,2021-02-02 09:03:57.000000,34,10.0,17.0,209,184.0,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,4.0,16,True,2021-02-07 11:06:21.000000,2.407,56.0,explainx,,,,,,,https://pypi.org/project/explainx,2021-02-04 16:44:24.000000,,715.0,715.0,,,,,,,,3.0,1.0,,,,,,,,,,,,,,,,,,,,,\n787,Parfit,jmcarpenter2/parfit,,hyperopt,https://github.com/jmcarpenter2/parfit,https://github.com/jmcarpenter2/parfit,MIT,2017-11-22 20:17:51.000000,2020-04-04 19:26:44.000000,2020-04-04 19:26:37.000000,25,6.0,5.0,197,127.0,\"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..\",2.0,16,False,,,23.0,parfit,,,,['sklearn'],8.0,8.0,https://pypi.org/project/parfit,2018-10-11 22:03:16.000000,,15186.0,15186.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n788,skggm,skggm/skggm,,sklearn-utils,https://github.com/skggm/skggm,https://github.com/skggm/skggm,MIT,2016-06-11 18:35:56.000000,2020-12-24 08:36:00.000000,2020-12-24 05:43:15.000000,31,28.0,47.0,181,691.0,Scikit-learn compatible estimation of general graphical models.,5.0,16,True,2018-09-12 01:12:49.000000,0.2.8,6.0,skggm,,,,['sklearn'],8.0,6.0,https://pypi.org/project/skggm,2018-09-12 01:12:49.000000,2.0,142.0,142.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n789,Larq Compute Engine,larq/compute-engine,,model-serialisation,https://github.com/larq/compute-engine,https://github.com/larq/compute-engine,Apache-2.0,2019-08-29 15:02:43.000000,2021-06-02 09:26:30.000000,2021-06-02 09:26:30.000000,22,26.0,93.0,149,,Highly optimized inference engine for Binarized Neural Networks.,15.0,16,False,2021-01-30 03:07:11.000000,0.5.0,12.0,larq-compute-engine,,,,,2.0,2.0,https://pypi.org/project/larq-compute-engine,2021-01-30 03:07:11.000000,,661.0,674.0,,,,,,,,3.0,219.0,,,,,,,,,,,,,,,,,,,,,\n790,steppy,minerva-ml/steppy,,ml-experiments,https://github.com/minerva-ml/steppy,https://github.com/minerva-ml/steppy,MIT,2018-01-15 09:40:49.000000,2018-11-23 09:49:59.000000,2018-11-23 09:47:34.000000,31,16.0,50.0,127,69.0,\"Lightweight, Python library for fast and reproducible experimentation.\",5.0,16,False,2018-11-23 09:49:59.000000,0.1.16,16.0,steppy,,,,,44.0,39.0,https://pypi.org/project/steppy,2018-11-23 09:49:59.000000,5.0,80.0,80.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n791,celer,mathurinm/celer,,sklearn-utils,https://github.com/mathurinm/celer,https://github.com/mathurinm/celer,BSD-3-Clause,2018-02-20 19:37:31.000000,2021-04-16 13:53:18.000000,2021-04-16 13:43:48.000000,21,16.0,52.0,116,218.0,\"Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.\",9.0,16,False,2020-10-12 12:26:09.000000,0.5.1,10.0,celer,,,,['sklearn'],4.0,4.0,https://pypi.org/project/celer,2020-12-09 13:19:10.000000,,105.0,105.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n792,pyRDF2Vec,IBCNServices/pyRDF2Vec,,graph,https://github.com/IBCNServices/pyRDF2Vec,https://github.com/IBCNServices/pyRDF2Vec,MIT,2019-06-13 11:36:12.000000,2021-06-01 09:38:47.000000,2021-04-27 06:09:01.000000,19,3.0,34.0,116,1088.0,Python Implementation and Extension of RDF2Vec.,5.0,16,False,2021-04-02 07:35:12.000000,0.2.2,10.0,pyrdf2vec,,,,,,,https://pypi.org/project/pyrdf2vec,2021-04-02 07:33:41.000000,,168.0,168.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n793,DE⫶TR,facebookresearch/detr,,image,https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52.000000,2021-05-07 07:15:47.000000,2020-11-15 16:03:45.000000,1133,86.0,246.0,7006,41.0,End-to-End Object Detection with Transformers.,20.0,15,True,2020-06-29 16:41:01.000000,0.2,1.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n794,OpenNRE,thunlp/OpenNRE,,nlp,https://github.com/thunlp/OpenNRE,https://github.com/thunlp/OpenNRE,MIT,2017-02-26 07:37:12.000000,2021-05-31 02:53:28.000000,2021-05-31 02:53:22.000000,864,21.0,313.0,3140,158.0,An Open-Source Package for Neural Relation Extraction (NRE).,9.0,15,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n795,Euler,alibaba/euler,,graph,https://github.com/alibaba/euler,https://github.com/alibaba/euler,Apache-2.0,2019-01-10 06:32:32.000000,2021-04-19 11:30:28.000000,2020-07-29 05:53:01.000000,515,209.0,101.0,2579,8.0,A distributed graph deep learning framework.,5.0,15,True,2020-07-07 02:24:18.000000,2.0.0,2.0,euler-gl,,,,['tensorflow'],,,https://pypi.org/project/euler-gl,2019-04-10 01:53:45.000000,,20.0,20.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n796,GraphEmbedding,shenweichen/GraphEmbedding,,graph,https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20.000000,2021-04-06 17:36:59.000000,2020-10-18 09:32:47.000000,615,35.0,14.0,2030,28.0,Implementation and experiments of graph embedding algorithms.,8.0,15,True,,,,,,,,['sklearn'],9.0,9.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n797,Torch-Struct,harvardnlp/pytorch-struct,,pytorch-utils,https://github.com/harvardnlp/pytorch-struct,https://github.com/harvardnlp/pytorch-struct,MIT,2019-08-26 19:34:30.000000,2021-05-09 17:27:03.000000,2021-05-09 17:25:02.000000,71,18.0,25.0,937,262.0,\"Fast, general, and tested differentiable structured prediction in PyTorch.\",13.0,15,True,2021-02-15 20:20:59.000000,0.5,2.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n798,Translate,pytorch/translate,,nlp,https://github.com/pytorch/translate,https://github.com/pytorch/translate,BSD-3-Clause,2018-04-24 16:44:04.000000,2021-05-05 05:17:00.000000,2021-05-05 05:16:56.000000,167,66.0,27.0,697,807.0,Translate - a PyTorch Language Library.,86.0,15,True,,,1.0,pytorch-translate,,,,['pytorch'],,,https://pypi.org/project/pytorch-translate,2018-05-01 19:59:40.000000,,14.0,14.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n799,HyperparameterHunter,HunterMcGushion/hyperparameter_hunter,,hyperopt,https://github.com/HunterMcGushion/hyperparameter_hunter,https://github.com/HunterMcGushion/hyperparameter_hunter,MIT,2018-06-01 23:17:00.000000,2021-01-20 03:52:41.000000,2021-01-20 03:52:40.000000,83,37.0,84.0,653,1096.0,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries.,4.0,15,True,2019-08-06 09:09:45.000000,3.0.0,16.0,hyperparameter-hunter,,,,,2.0,,https://pypi.org/project/hyperparameter-hunter,2019-08-06 08:52:20.000000,2.0,52.0,60.0,,,,,,,,3.0,290.0,,,,,,,,,,,,,,,,,,,,,\n800,Anchor,marcotcr/anchor,,interpretability,https://github.com/marcotcr/anchor,https://github.com/marcotcr/anchor,BSD-2-Clause,2018-02-02 23:38:50.000000,2021-04-19 22:37:30.000000,2021-04-19 22:37:22.000000,88,15.0,46.0,643,42.0,Code for High-Precision Model-Agnostic Explanations paper.,8.0,15,True,,,8.0,anchor_exp,,,,,,,https://pypi.org/project/anchor_exp,2020-06-26 20:56:50.000000,,451.0,451.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n801,cuSignal,rapidsai/cusignal,,gpu-utilities,https://github.com/rapidsai/cusignal,https://github.com/rapidsai/cusignal,Apache-2.0,2019-08-22 14:27:27.000000,2021-05-26 19:26:29.000000,2021-05-25 14:53:19.000000,63,15.0,99.0,485,,GPU accelerated signal processing.,30.0,15,True,2021-04-21 15:16:02.000000,0.19.0,6.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n802,tfdeploy,riga/tfdeploy,,model-serialisation,https://github.com/riga/tfdeploy,https://github.com/riga/tfdeploy,BSD-3-Clause,2016-03-07 13:08:21.000000,2021-01-08 09:52:54.000000,2021-01-08 09:52:49.000000,38,10.0,23.0,345,170.0,Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.,4.0,15,True,2017-03-30 10:51:26.000000,0.4.2,22.0,tfdeploy,,,,['tensorflow'],2.0,,https://pypi.org/project/tfdeploy,2017-03-30 10:51:26.000000,2.0,34.0,34.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n803,LOFO,aerdem4/lofo-importance,,interpretability,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46.000000,2021-01-27 13:57:42.000000,2020-07-02 11:49:52.000000,41,2.0,10.0,329,24.0,Leave One Feature Out Importance.,3.0,15,True,2020-07-02 11:44:57.000000,0.2.6,9.0,lofo-importance,,,,,4.0,4.0,https://pypi.org/project/lofo-importance,2020-07-02 11:44:57.000000,,130.0,130.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n804,data-describe,data-describe/data-describe,,data-viz,https://github.com/data-describe/data-describe,https://github.com/data-describe/data-describe,Apache-2.0,2020-05-04 17:58:14.000000,2021-05-12 05:30:22.000000,2021-03-02 19:30:45.000000,14,69.0,175.0,281,695.0,datadescribe: Pythonic EDA Accelerator for Data Science.,14.0,15,True,,,5.0,data-describe,,,,,,,https://pypi.org/project/data-describe,2020-12-03 23:07:43.000000,,191.0,191.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n805,Headliner,as-ideas/headliner,,nlp,https://github.com/as-ideas/headliner,https://github.com/as-ideas/headliner,MIT,2019-09-30 11:33:28.000000,2021-03-26 07:19:57.000000,2020-02-14 09:03:27.000000,38,1.0,13.0,228,276.0,Easy training and deployment of seq2seq models.,2.0,15,False,2020-01-24 09:06:29.000000,1.0.2,30.0,headliner,,,,,4.0,3.0,https://pypi.org/project/headliner,2020-01-24 09:06:29.000000,1.0,90.0,90.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n806,NeuralQA,victordibia/neuralqa,,nlp,https://github.com/victordibia/neuralqa,https://github.com/victordibia/neuralqa,MIT,2020-05-19 03:55:56.000000,2021-05-29 00:28:21.000000,2020-12-16 17:41:37.000000,27,26.0,8.0,198,312.0,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,3.0,15,True,,,27.0,neuralqa,,,,,2.0,2.0,https://pypi.org/project/neuralqa,2020-09-18 17:54:50.000000,,54.0,54.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n807,textvec,textvec/textvec,,nlp,https://github.com/textvec/textvec,https://github.com/textvec/textvec,MIT,2018-04-12 14:03:53.000000,2020-12-03 14:23:11.000000,2020-12-03 14:23:04.000000,21,2.0,6.0,173,70.0,Text vectorization tool to outperform TFIDF for classification tasks.,4.0,15,True,2019-09-12 07:41:04.000000,2.0,4.0,textvec,,,,['sklearn'],3.0,3.0,https://pypi.org/project/textvec,2020-12-03 14:17:09.000000,,200.0,200.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n808,nx-altair,Zsailer/nx_altair,,data-viz,https://github.com/Zsailer/nx_altair,https://github.com/Zsailer/nx_altair,MIT,2018-05-13 00:10:12.000000,2020-09-30 12:01:08.000000,2020-06-02 21:10:26.000000,20,6.0,4.0,162,51.0,Draw interactive NetworkX graphs with Altair.,3.0,15,True,2020-06-02 21:11:12.000000,0.1.6,8.0,nx-altair,,,,['jupyter'],4.0,,https://pypi.org/project/nx-altair,2020-06-02 21:11:12.000000,4.0,400.0,400.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n809,ONNX-T5,abelriboulot/onnxt5,,nlp,https://github.com/abelriboulot/onnxt5,https://github.com/abelriboulot/onnxt5,Apache-2.0,2020-08-01 09:38:35.000000,2021-01-28 09:26:15.000000,2021-01-28 09:24:52.000000,21,6.0,6.0,159,74.0,\"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..\",3.0,15,True,2021-01-28 09:26:15.000000,0.1.8,11.0,onnxt5,,,,,,,https://pypi.org/project/onnxt5,2021-01-28 09:26:15.000000,,146.0,146.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n810,ipyexperiments,stas00/ipyexperiments,,gpu-utilities,https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40.000000,2021-03-28 18:24:12.000000,2021-03-28 18:23:45.000000,9,,4.0,133,196.0,jupyter/ipython experiment containers for GPU and general RAM re-use.,3.0,15,False,2021-03-28 03:39:09.000000,0.1.26,23.0,ipyexperiments,,,,['jupyter'],7.0,5.0,https://pypi.org/project/ipyexperiments,2021-03-28 03:39:09.000000,2.0,94.0,94.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n811,contextual-ai,SAP/contextual-ai,,interpretability,https://github.com/SAP/contextual-ai,https://github.com/SAP/contextual-ai,Apache-2.0,2020-05-12 07:15:56.000000,2021-03-25 23:48:34.000000,2021-01-25 04:03:23.000000,9,5.0,1.0,69,621.0,\"Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference -..\",10.0,15,False,2021-01-25 04:56:57.000000,0.0.2,2.0,contextual-ai,,,,,,,https://pypi.org/project/contextual-ai,2021-01-25 04:56:57.000000,,213.0,213.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n812,StarSpace,facebookresearch/StarSpace,,ml-frameworks,https://github.com/facebookresearch/StarSpace,https://github.com/facebookresearch/StarSpace,MIT,2017-06-28 17:50:18.000000,2021-04-23 05:17:29.000000,2019-12-13 19:03:25.000000,494,50.0,147.0,3615,138.0,\"Learning embeddings for classification, retrieval and ranking.\",17.0,14,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n813,OpenKE,thunlp/OpenKE,,graph,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,MIT,2017-10-08 11:20:23.000000,2021-04-06 08:24:33.000000,2021-04-06 08:24:50.000000,790,65.0,231.0,2582,97.0,An Open-Source Package for Knowledge Embedding (KE).,10.0,14,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n814,GraphSAGE,williamleif/GraphSAGE,,graph,https://github.com/williamleif/GraphSAGE,https://github.com/williamleif/GraphSAGE,MIT,2017-05-29 15:36:22.000000,2021-05-21 14:52:52.000000,2018-09-19 19:27:00.000000,652,85.0,58.0,2339,59.0,Representation learning on large graphs using stochastic graph convolutions.,9.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n815,ZhuSuan,thu-ml/zhusuan,,probabilistics,https://github.com/thu-ml/zhusuan,https://github.com/thu-ml/zhusuan,MIT,2016-07-18 13:31:38.000000,2020-01-09 14:51:27.000000,2019-08-05 10:00:04.000000,393,8.0,53.0,2050,439.0,\"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.\",20.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n816,AutoGL,THUMNLab/AutoGL,,graph,https://github.com/THUMNLab/AutoGL,https://github.com/THUMNLab/AutoGL,MIT,2020-11-30 14:26:22.000000,2021-06-01 15:02:21.000000,2021-04-10 10:49:50.000000,69,5.0,4.0,638,,An autoML framework & toolkit for machine learning on graphs.,5.0,14,True,2020-12-23 08:15:15.000000,0.1.1,2.0,auto-graph-learning,,,,['pytorch'],,,https://pypi.org/project/auto-graph-learning,2020-12-23 08:05:25.000000,,49.0,49.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n817,NeoML,neoml-lib/neoml,,ml-frameworks,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000000,2021-06-03 12:40:38.000000,2021-06-01 20:17:25.000000,86,36.0,13.0,590,339.0,Machine learning framework for both deep learning and traditional algorithms.,21.0,14,True,2020-06-14 17:44:03.000000,NeoML-master_1.0.1.0,1.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n818,Adversary,airbnb/artificial-adversary,,adversarial,https://github.com/airbnb/artificial-adversary,https://github.com/airbnb/artificial-adversary,MIT,2018-08-08 04:42:11.000000,2018-10-14 05:34:44.000000,2018-08-29 15:31:30.000000,51,6.0,,350,15.0,Tool to generate adversarial text examples and test machine learning models against them.,5.0,14,False,2018-08-29 15:14:41.000000,1.1.1,3.0,Adversary,,,,,6.0,6.0,https://pypi.org/project/Adversary,2018-08-29 15:14:41.000000,0.0,29.0,29.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n819,TransferNLP,feedly/transfer-nlp,,nlp,https://github.com/feedly/transfer-nlp,https://github.com/feedly/transfer-nlp,MIT,2019-03-12 20:00:31.000000,2020-05-28 19:00:02.000000,2020-05-28 17:31:53.000000,18,4.0,20.0,288,465.0,NLP library designed for reproducible experimentation management.,7.0,14,False,2020-05-28 19:00:02.000000,0.1.6,8.0,transfer-nlp,,,,['pytorch'],,,https://pypi.org/project/transfer-nlp,2020-05-28 19:00:02.000000,,87.0,87.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n820,Auptimizer,LGE-ARC-AdvancedAI/auptimizer,,hyperopt,https://github.com/LGE-ARC-AdvancedAI/auptimizer,https://github.com/LGE-ARC-AdvancedAI/auptimizer,GPL-3.0,2019-09-12 01:08:37.000000,2021-05-21 14:45:19.000000,2021-03-03 01:30:06.000000,21,1.0,5.0,170,79.0,An automatic ML model optimization tool.,11.0,14,False,2021-03-03 02:00:23.000000,2.0,7.0,auptimizer,,,,,,,https://pypi.org/project/auptimizer,2021-03-02 02:40:32.000000,,39.0,39.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n821,ModelChimp,ModelChimp/modelchimp,,ml-experiments,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03.000000,2021-06-03 07:32:21.000000,2021-02-15 13:37:13.000000,12,4.0,10.0,121,361.0,Experiment tracking for machine and deep learning projects.,3.0,14,False,2019-04-09 10:43:15.000000,0.4.0,37.0,modelchimp,,modelchimp/modelchimp-server,,,,,https://pypi.org/project/modelchimp,2019-04-09 10:41:20.000000,,22.0,42.0,,,,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,638.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n822,DeepNeuro,QTIM-Lab/DeepNeuro,,medical-data,https://github.com/QTIM-Lab/DeepNeuro,https://github.com/QTIM-Lab/DeepNeuro,MIT,2017-06-01 19:36:34.000000,2020-06-24 13:00:15.000000,2020-06-24 13:00:14.000000,32,27.0,16.0,104,285.0,A deep learning python package for neuroimaging data. Made by:.,6.0,14,False,2019-06-10 21:04:04.000000,0.2.3,6.0,deepneuro,,,,,1.0,1.0,https://pypi.org/project/deepneuro,2019-06-10 21:04:04.000000,,61.0,61.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n823,Hypermax,electricbrainio/hypermax,,hyperopt,https://github.com/electricbrainio/hypermax,https://github.com/electricbrainio/hypermax,BSD-3-Clause,2018-07-27 18:43:01.000000,2020-08-02 18:08:50.000000,2020-08-02 18:08:46.000000,14,3.0,1.0,96,207.0,\"Better, faster hyper-parameter optimization.\",9.0,14,False,2019-10-23 15:40:12.000000,0.5.1,11.0,hypermax,,,,,4.0,4.0,https://pypi.org/project/hypermax,2019-10-23 15:40:12.000000,,23.0,23.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n824,ENAS,carpedm20/ENAS-pytorch,,hyperopt,https://github.com/carpedm20/ENAS-pytorch,https://github.com/carpedm20/ENAS-pytorch,Apache-2.0,2018-02-15 04:54:37.000000,2020-12-09 18:13:03.000000,2020-06-16 07:23:32.000000,450,37.0,7.0,2441,53.0,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,6.0,13,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n825,micrograd,karpathy/micrograd,,pytorch-utils,https://github.com/karpathy/micrograd,https://github.com/karpathy/micrograd,MIT,2020-04-13 04:31:18.000000,2020-12-18 12:55:50.000000,2020-04-18 19:15:25.000000,129,2.0,3.0,1680,24.0,A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.,2.0,13,False,2020-04-18 19:06:59.000000,0.1.0,1.0,micrograd,,,,['pytorch'],1.0,1.0,https://pypi.org/project/micrograd,2020-04-18 19:06:59.000000,0.0,27.0,27.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n826,OpenNE,thunlp/OpenNE,,graph,https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20.000000,2021-03-22 13:16:57.000000,2019-08-12 10:56:27.000000,450,50.0,82.0,1467,98.0,An Open-Source Package for Network Embedding (NE).,10.0,13,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n827,Medical Detection Toolkit,MIC-DKFZ/medicaldetectiontoolkit,,medical-data,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,Apache-2.0,2018-10-12 12:34:57.000000,2021-05-31 17:04:23.000000,2021-05-31 17:04:14.000000,245,33.0,85.0,969,38.0,\"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..\",3.0,13,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n828,PandaPy,firmai/pandapy,,data-containers,https://github.com/firmai/pandapy,https://github.com/firmai/pandapy,MIT,2020-01-15 18:21:23.000000,2020-11-12 16:18:45.000000,2020-11-12 16:18:44.000000,49,2.0,1.0,475,83.0,PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai).,3.0,13,True,2020-11-12 16:12:54.000000,zen,22.0,pandapy,,,,['pandas'],1.0,1.0,https://pypi.org/project/pandapy,2020-01-25 23:10:32.000000,,39.0,39.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n829,Attribution Priors,suinleelab/attributionpriors,,interpretability,https://github.com/suinleelab/attributionpriors,https://github.com/suinleelab/attributionpriors,MIT,2019-06-24 23:54:24.000000,2021-03-19 19:43:58.000000,2021-03-19 19:43:51.000000,7,1.0,3.0,78,72.0,Tools for training explainable models using attribution priors.,6.0,13,False,2021-03-16 17:47:18.000000,1.0.0,4.0,attributionpriors,,,,\"['tensorflow', 'pytorch']\",2.0,2.0,https://pypi.org/project/attributionpriors,2019-10-31 18:03:05.000000,,32.0,32.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n830,featurewiz,AutoViML/featurewiz,,hyperopt,https://github.com/AutoViML/featurewiz,https://github.com/AutoViML/featurewiz,Apache-2.0,2020-11-29 16:46:16.000000,2021-05-17 02:29:26.000000,2021-05-17 02:28:42.000000,16,2.0,1.0,62,,Use advanced feature engineering strategies and select the best features from your data set fast with a single line of..,1.0,13,False,2021-05-16 22:24:54.000000,0.0.35,35.0,featurewiz,,,,,,,https://pypi.org/project/featurewiz,2021-05-16 22:24:54.000000,,763.0,763.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n831,LazyCluster,ml-tooling/lazycluster,,distributed-ml,https://github.com/ml-tooling/lazycluster,https://github.com/ml-tooling/lazycluster,Apache-2.0,2019-08-07 08:05:13.000000,2021-06-02 03:43:21.000000,2020-12-14 15:24:53.000000,6,,,40,,Distributed machine learning made simple.,2.0,13,False,2020-12-14 15:25:59.000000,0.2.4,5.0,lazycluster,,,,,5.0,5.0,https://pypi.org/project/lazycluster,2020-12-14 14:49:33.000000,,168.0,168.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n832,surpriver,tradytics/surpriver,,financial-data,https://github.com/tradytics/surpriver,https://github.com/tradytics/surpriver,GPL-3.0,2020-08-30 07:56:22.000000,2020-11-13 00:48:16.000000,2020-09-21 04:32:05.000000,227,10.0,5.0,1226,64.0,Find big moving stocks before they move using machine learning and anomaly detection.,6.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n833,MedicalNet,Tencent/MedicalNet,,medical-data,https://github.com/Tencent/MedicalNet,https://github.com/Tencent/MedicalNet,MIT,2019-07-17 09:53:10.000000,2020-08-27 13:37:27.000000,2020-08-27 13:37:26.000000,306,45.0,14.0,1125,26.0,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,1.0,12,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n834,GraphVite,DeepGraphLearning/graphvite,,graph,https://github.com/DeepGraphLearning/graphvite,https://github.com/DeepGraphLearning/graphvite,Apache-2.0,2019-07-16 15:48:20.000000,2021-01-14 02:19:03.000000,2021-01-14 02:18:46.000000,121,29.0,55.0,911,15.0,GraphVite: A General and High-performance Graph Embedding System.,1.0,12,True,,,4.0,,milagraph/graphvite,,,,,,,,,,170.0,https://anaconda.org/milagraph/graphvite,2020-03-19 18:21:30.972000,3757.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n835,bias-detector,intuit/bias-detector,,interpretability,https://github.com/intuit/bias-detector,https://github.com/intuit/bias-detector,MIT,2021-02-02 16:58:52.000000,2021-06-01 09:13:29.000000,2021-06-01 09:12:00.000000,6,,,32,,Bias Detector is a python package for detecting bias in machine learning models.,4.0,12,False,2021-04-22 15:20:54.000000,0.0.12,11.0,bias-detector,,,,,,,https://pypi.org/project/bias-detector,2021-04-22 15:20:54.000000,,82.0,82.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n836,nptsne,biovault/nptsne,,data-viz,https://github.com/biovault/nptsne,https://github.com/biovault/nptsne,Apache-2.0,2019-06-28 08:40:25.000000,2021-03-08 15:54:27.000000,2021-02-03 08:52:27.000000,2,6.0,5.0,25,857.0,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,3.0,12,False,2020-09-10 23:54:14.000000,1.1.0,2.0,nptsne,,,,,2.0,2.0,https://pypi.org/project/nptsne,2020-09-10 23:54:14.000000,,105.0,105.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n837,traingenerator,jrieke/traingenerator,,others,https://github.com/jrieke/traingenerator,https://github.com/jrieke/traingenerator,MIT,2020-12-03 16:47:16.000000,2021-04-29 13:51:46.000000,2021-04-29 13:46:13.000000,133,9.0,3.0,1017,,A web app to generate template code for machine learning.,3.0,11,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n838,Devol,joeddav/devol,,hyperopt,https://github.com/joeddav/devol,https://github.com/joeddav/devol,MIT,2017-02-10 03:07:54.000000,2020-07-05 21:56:59.000000,2020-07-05 21:56:58.000000,109,7.0,20.0,931,116.0,Genetic neural architecture search with Keras.,18.0,11,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n839,PySparNN,facebookresearch/pysparnn,,nn-search,https://github.com/facebookresearch/pysparnn,https://github.com/facebookresearch/pysparnn,BSD-3-Clause,2016-03-28 20:43:42.000000,2020-10-02 06:01:01.000000,2018-01-31 16:50:23.000000,143,15.0,14.0,875,147.0,Approximate Nearest Neighbor Search for Sparse Data in Python!.,5.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n840,Mozart,aashrafh/Mozart,,ocr,https://github.com/aashrafh/Mozart,https://github.com/aashrafh/Mozart,Apache-2.0,2020-12-14 11:49:14.000000,2021-05-05 17:21:44.000000,2021-05-05 17:21:44.000000,40,1.0,2.0,263,,An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.,5.0,11,True,,,,,,,,['sklearn'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n841,bodywork-core,bodywork-ml/bodywork-core,,data-pipelines,https://github.com/bodywork-ml/bodywork-core,https://github.com/bodywork-ml/bodywork-core,AGPL-3.0,2020-11-17 11:38:17.000000,2021-06-03 12:54:33.000000,2021-05-28 18:47:58.000000,11,4.0,23.0,223,416.0,MLOps tool for deploying machine learning projects to Kubernetes.,4.0,11,False,,,,bodywork-core,,,,,2.0,2.0,https://pypi.org/project/bodywork-core,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n842,Hypertunity,gdikov/hypertunity,,hyperopt,https://github.com/gdikov/hypertunity,https://github.com/gdikov/hypertunity,Apache-2.0,2019-06-02 12:04:55.000000,2020-01-26 23:14:49.000000,2020-01-26 22:53:29.000000,9,,2.0,121,64.0,A toolset for black-box hyperparameter optimisation.,2.0,11,False,2020-01-26 23:08:16.000000,1.0.1,7.0,hypertunity,,,,,2.0,2.0,https://pypi.org/project/hypertunity,2020-01-26 23:08:16.000000,,26.0,26.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n843,traintool,jrieke/traintool,,ml-experiments,https://github.com/jrieke/traintool,https://github.com/jrieke/traintool,Apache-2.0,2020-09-30 22:23:05.000000,2021-03-12 01:44:04.000000,2021-03-12 01:43:14.000000,1,,,9,122.0,Train off-the-shelf machine learning models in one line of code.,,10,False,2020-11-02 02:25:32.000000,0.0.3,3.0,traintool,,,,\"['pytorch', 'tensorflow', 'sklearn']\",,,https://pypi.org/project/traintool,2020-11-02 02:25:32.000000,,28.0,28.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n"
  },
  {
    "path": "history/2021-07-01_changes.md",
    "content": "## 📈 Trending Up\n\n_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._\n\n- <b><a href=\"https://github.com/ray-project/ray\">Ray</a></b> (🥇35 ·  ⭐ 16K · 📈) - An open source framework that provides a simple, universal API for.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/chainer/chainer\">Chainer</a></b> (🥈32 ·  ⭐ 5.6K · 📈) - A flexible framework of neural networks for deep learning. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/simonw/datasette\">Datasette</a></b> (🥇29 ·  ⭐ 5.2K · 📈) - An open source multi-tool for exploring and publishing data. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/keras-team/keras-tuner\">Keras Tuner</a></b> (🥇29 ·  ⭐ 2.3K · 📈) - Hyperparameter tuning for humans. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/jina-ai/jina\">Jina</a></b> (🥉28 ·  ⭐ 7.1K · 📈) - Cloud-native neural search framework for kind of data. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/sirfz/tesserocr\">tesserocr</a></b> (🥈28 ·  ⭐ 1.5K · 📈) - A Python wrapper for the tesseract-ocr API. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/tensorflow/model-optimization\">TF Model Optimization</a></b> (🥈28 ·  ⭐ 1.1K · 📈) - A toolkit to optimize ML models for deployment for.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/PaddlePaddle/PaddleOCR\">PaddleOCR</a></b> (🥈27 ·  ⭐ 13K · 📈) - Awesome multilingual OCR toolkits based on PaddlePaddle.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1M\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/miso-belica/sumy\">Sumy</a></b> (🥈27 ·  ⭐ 2.6K · 📈) - Module for automatic summarization of text documents and HTML pages. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/bodywork-ml/bodywork-core\">bodywork-core</a></b> (🥉17 ·  ⭐ 250 · 📈) - MLOps tool for deploying machine learning projects to.. <code><a href=\"http://bit.ly/3pwmjO5\">❗️AGPL-3.0</a></code>\n\n## 📉 Trending Down\n\n_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._\n\n- <b><a href=\"https://github.com/google/jax\">jax</a></b> (🥈30 ·  ⭐ 13K · 📉) - Composable transformations of Python+NumPy programs: differentiate,.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/tensorflow/probability\">tensorflow-probability</a></b> (🥇30 ·  ⭐ 3.4K · 📉) - Probabilistic reasoning and statistical analysis in.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/pydata/xarray\">xarray</a></b> (🥈30 ·  ⭐ 2.1K · 📉) - N-D labeled arrays and datasets in Python. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/pymc-devs/pymc3\">PyMC3</a></b> (🥇29 ·  ⭐ 5.9K · 📉) - Probabilistic Programming in Python: Bayesian Modeling and.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/magenta/magenta\">Magenta</a></b> (🥈26 ·  ⭐ 17K · 📉) - Magenta: Music and Art Generation with Machine Intelligence. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/nilearn/nilearn\">Nilearn</a></b> (🥈26 ·  ⭐ 750 · 📉) - Machine learning for NeuroImaging in Python. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/google-research/text-to-text-transfer-transformer\">T5</a></b> (🥉22 ·  ⭐ 3.5K · 📉) - Code for the paper Exploring the Limits of Transfer Learning with.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/google/neural-tangents\">Neural Tangents</a></b> (🥉19 ·  ⭐ 1.5K · 📉) - Fast and Easy Infinite Neural Networks in Python. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/albermax/innvestigate\">iNNvestigate</a></b> (🥉18 ·  ⭐ 840 · 📉) - A toolbox to iNNvestigate neural networks' predictions!. <code><a href=\"http://bit.ly/3rqEWVr\">BSD-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/rasbt/biopandas\">BioPandas</a></b> (🥉17 ·  ⭐ 360 · 📉) - Working with molecular structures in pandas DataFrames. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1S\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n\n## ➕ Added Projects\n\n_Projects that were recently added to this best-of list._\n\n- <b><a href=\"https://github.com/activeloopai/Hub\">Activeloop</a></b> (🥈28 ·  ⭐ 21K · ➕) - Fastest dataset optimization and management for machine and.. <code><a href=\"http://bit.ly/3postzC\">MPL-2.0</a></code>\n- <b><a href=\"https://github.com/coleifer/huey\">huey</a></b> (🥈28 ·  ⭐ 3.6K · ➕) - a little task queue for python. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/combust/mleap\">mleap</a></b> (🥈28 ·  ⭐ 1.3K · ➕) - MLeap: Deploy ML Pipelines to Production. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/bentoml/BentoML\">BentoML</a></b> (🥇27 ·  ⭐ 2.6K · ➕) - Model Serving Made Easy. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/SciTools/cartopy\">cartopy</a></b> (🥈27 ·  ⭐ 880 · ➕) - Cartopy - a cartographic python library with matplotlib support. <code><a href=\"http://bit.ly/37RvQcA\">❗️LGPL-3.0</a></code>\n- <b><a href=\"https://github.com/makcedward/nlpaug\">nlpaug</a></b> (🥈25 ·  ⭐ 2.2K · ➕) - Data augmentation for NLP. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/serengil/deepface\">deepface</a></b> (🥈25 ·  ⭐ 1.8K · ➕) - A Lightweight Deep Face Recognition and Facial Attribute Analysis.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/MAIF/shapash\">shapash</a></b> (🥈25 ·  ⭐ 1.1K · ➕) - Shapash makes Machine Learning models transparent and.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/twopirllc/pandas-ta\">pandas-ta</a></b> (🥉24 ·  ⭐ 1.4K · ➕) - Technical Analysis Indicators - Pandas TA is an easy to use.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1S\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/PyTorchLightning/metrics\">metrics</a></b> (🥉24 ·  ⭐ 360 · ➕) - Machine learning metrics for distributed, scalable PyTorch.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/databand-ai/dbnd\">dbnd</a></b> (🥉24 ·  ⭐ 190 · ➕) - DBND is an agile pipeline framework that helps data engineering teams.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/pola-rs/polars\">polars</a></b> (🥉23 ·  ⭐ 1.9K · ➕) - Fast multi-threaded DataFrame library in Rust and Python. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/samuelcolvin/arq\">arq</a></b> (🥉23 ·  ⭐ 840 · ➕) - Fast job queuing and RPC in python with asyncio and redis. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/speechbrain/speechbrain\">speechbrain</a></b> (🥉22 ·  ⭐ 2.5K · ➕) - A PyTorch-based Speech Toolkit. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/AI4Finance-LLC/FinRL\">FinRL</a></b> (🥉22 ·  ⭐ 2.2K · ➕) - A Deep Reinforcement Learning Library for Automated Trading in.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/huggingface/accelerate\">accelerate</a></b> (🥈22 ·  ⭐ 1.6K · ➕) - A simple way to train and use PyTorch models with.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/PaddlePaddle/PaddleSeg\">PaddleSeg</a></b> (🥉22 ·  ⭐ 1.5K · ➕) - End-to-end image segmentation kit based on PaddlePaddle. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1M\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/graphistry/pygraphistry\">pygraphistry</a></b> (🥈22 ·  ⭐ 1.4K · ➕) - PyGraphistry is a Python library to quickly load,.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/nyu-mll/jiant\">jiant</a></b> (🥉22 ·  ⭐ 1.3K · ➕) - jiant is an nlp toolkit. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/PyTorchLightning/lightning-flash\">lightning-flash</a></b> (🥈22 ·  ⭐ 790 · 🐣) - Collection of tasks for fast prototyping, baselining,.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/iver56/audiomentations\">audiomentations</a></b> (🥉22 ·  ⭐ 610 · ➕) - A Python library for audio data augmentation. Inspired by.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/dwyl/english-words\">english-words</a></b> (🥉21 ·  ⭐ 5.3K · 💤) - A text file containing 479k English words for all your.. <code><a href=\"http://bit.ly/3rvuUlR\">Unlicense</a></code>\n- <b><a href=\"https://github.com/lucidrains/deep-daze\">deep-daze</a></b> (🥉21 ·  ⭐ 3.5K · 🐣) - Simple command line tool for text to image generation using.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/Layout-Parser/layout-parser\">layout-parser</a></b> (🥉21 ·  ⭐ 2.2K · ➕) - A unified toolkit for Deep Learning Based Document Image.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/facebookresearch/vissl\">vissl</a></b> (🥉21 ·  ⭐ 1.8K · ➕) - VISSL is FAIR's library of extensible, modular and scalable.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/SimonBlanke/Hyperactive\">Hyperactive</a></b> (🥉21 ·  ⭐ 240 · ➕) - A hyperparameter optimization and data collection toolbox for.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/kubeflow-kale/kale\">kale</a></b> (🥉20 ·  ⭐ 400 · ➕) - Kubeflows superfood for Data Scientists. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/huggingface/huggingface_hub\">huggingface_hub</a></b> (🥉20 ·  ⭐ 150 · ➕) - Client library to download and publish models and.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/graph4ai/graph4nlp\">graph4nlp</a></b> (🥉19 ·  ⭐ 810 · ➕) - Graph4nlp is the library for the easy use of Graph Neural.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/serengil/chefboost\">chefboost</a></b> (🥉19 ·  ⭐ 260 · ➕) - 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11:17:50.807000,15610277.0,,,,,1.0,319809.0,,,,,,,,,,,,,,,,,,,,,\n8,PyTorch,pytorch/pytorch,,ml-frameworks,https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41.000000,2021-07-01 13:28:09.000000,2021-07-01 07:01:37.000000,13115,9073.0,14647.0,49187.0,38194.0,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,2744.0,41,True,2021-06-15 16:06:52.000000,1.9.0,33.0,torch,pytorch/pytorch,,https://pytorch.org/docs/stable/index.html,['pytorch'],90866.0,84184.0,https://pypi.org/project/torch,2021-06-15 15:09:35.000000,6682.0,4561463.0,4827673.0,https://anaconda.org/pytorch/pytorch,2021-06-15 16:26:06.511000,11713253.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n9,Celery,celery/celery,,data-pipelines,https://github.com/celery/celery,https://github.com/celery/celery,BSD-3-Clause,2009-04-24 11:31:24.000000,2021-07-01 04:07:39.000000,2021-07-01 04:07:39.000000,4020,519.0,4016.0,17513.0,11638.0,Asynchronous task queue/job queue based on distributed message passing.,1120.0,40,True,2021-06-28 13:14:23.000000,5.1.2,178.0,celery,conda-forge/celery,,,,83034.0,54800.0,https://pypi.org/project/celery,2021-06-28 13:14:23.000000,28234.0,5362576.0,5370922.0,https://anaconda.org/conda-forge/celery,2021-06-29 08:06:51.307000,534199.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n10,Pillow,python-pillow/Pillow,,image,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000000,2021-07-01 13:15:59.993000,2021-07-01 06:55:53.000000,1667,165.0,2056.0,8656.0,11931.0,The friendly PIL fork (Python Imaging Library).,365.0,40,True,2021-07-01 06:50:59.000000,8.3.0,81.0,Pillow,conda-forge/pillow,,,,610423.0,498997.0,https://pypi.org/project/Pillow,2021-07-01 06:49:15.000000,111426.0,33599273.0,33743426.0,https://anaconda.org/conda-forge/pillow,2021-07-01 13:15:59.993000,9081665.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n11,scikit-learn,scikit-learn/scikit-learn,,ml-frameworks,https://github.com/scikit-learn/scikit-learn,https://github.com/scikit-learn/scikit-learn,BSD-3-Clause,2010-08-17 09:43:38.000000,2021-07-01 08:01:10.000000,2021-07-01 02:03:41.000000,21608,2379.0,6978.0,46276.0,,scikit-learn: machine learning in Python.,2275.0,38,True,2021-04-28 17:20:23.000000,0.24.2,54.0,scikit-learn,conda-forge/scikit-learn,,,['sklearn'],276215.0,238327.0,https://pypi.org/project/scikit-learn,2021-04-28 11:18:29.000000,37888.0,25250901.0,25386885.0,https://anaconda.org/conda-forge/scikit-learn,2021-04-28 21:30:13.539000,8430368.0,,,,,1.0,708.0,,,,,,,,,,,,,,,,,,,,,\n12,PySpark,apache/spark,,ml-frameworks,https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08.000000,2021-07-01 13:46:34.000000,2021-07-01 12:50:19.000000,24097,235.0,,30216.0,30596.0,Apache Spark Python API.,2490.0,38,True,2021-05-27 17:18:30.000000,3.1.2,26.0,pyspark,conda-forge/pyspark,,,['spark'],1360.0,600.0,https://pypi.org/project/pyspark,2021-05-27 17:18:30.000000,760.0,11475391.0,11497075.0,https://anaconda.org/conda-forge/pyspark,2021-05-29 01:33:32.376000,1127586.0,,,,,1.0,,stable/spark,,,,,,,,,,,,,,,,,,,,\n13,numpy,numpy/numpy,,data-containers,https://github.com/numpy/numpy,https://github.com/numpy/numpy,BSD-3-Clause,2010-09-13 23:02:39.000000,2021-07-01 15:00:07.000000,2021-07-01 07:08:25.000000,5615,2330.0,7621.0,17519.0,,The fundamental package for scientific computing with Python.,1278.0,38,True,2021-06-22 14:00:04.000000,1.21.0,101.0,numpy,conda-forge/numpy,,,,924955.0,755233.0,https://pypi.org/project/numpy,2021-06-22 13:39:59.000000,169722.0,79431206.0,79771232.0,https://anaconda.org/conda-forge/numpy,2021-06-23 00:23:44.138000,20683169.0,,,,,1.0,359932.0,,,,,,,,,,,,,,,,,,,,,\n14,XGBoost,dmlc/xgboost,,ml-frameworks,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000000,2021-07-01 14:01:49.000000,2021-06-30 16:44:49.000000,7983,296.0,3813.0,21215.0,5378.0,\"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..\",522.0,37,True,2021-05-13 11:35:17.000000,1.4.2,57.0,xgboost,conda-forge/xgboost,,https://xgboost.readthedocs.io/en/latest/,,20288.0,18696.0,https://pypi.org/project/xgboost,2021-05-13 11:49:10.000000,1592.0,6281057.0,6314454.0,https://anaconda.org/conda-forge/xgboost,2021-04-29 20:56:44.761000,1735137.0,,,,,1.0,2604.0,,,,,,,,,,,,,,,,,,,,,\n15,spaCy,explosion/spaCy,,nlp,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000000,2021-07-01 12:13:05.000000,2021-06-30 10:52:59.000000,3462,99.0,4629.0,20789.0,14616.0,Industrial-strength Natural Language Processing (NLP) in Python.,591.0,37,True,2021-06-04 18:56:37.000000,2.3.7,179.0,spacy,conda-forge/spacy,,,,29918.0,26852.0,https://pypi.org/project/spacy,2021-04-23 12:16:12.000000,3066.0,2684912.0,2725609.0,https://anaconda.org/conda-forge/spacy,2021-06-15 10:12:51.476000,2154160.0,,,,,1.0,3037.0,,,,,,,,,,,,,,,,,,,,,\n16,Seaborn,mwaskom/seaborn,,data-viz,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000000,2021-06-29 22:32:19.000000,2021-06-18 19:22:56.000000,1423,92.0,1780.0,8535.0,2781.0,Statistical data visualization in Python.,153.0,37,True,2021-03-29 17:36:25.000000,joss_paper,23.0,seaborn,conda-forge/seaborn,,,,115755.0,102969.0,https://pypi.org/project/seaborn,2020-12-20 20:53:25.000000,12786.0,8122680.0,8164996.0,https://anaconda.org/conda-forge/seaborn,2021-01-28 11:50:33.609000,2496608.0,,,,,1.0,167.0,,,,,,,,,,,,,,,,,,,,,\n17,transformers,huggingface/transformers,,nlp,https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000000,2021-07-01 14:07:27.000000,2021-07-01 13:26:46.000000,11351,392.0,6823.0,47938.0,7469.0,\"Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.\",924.0,36,True,2021-06-30 12:42:38.000000,4.8.2,62.0,transformers,conda-forge/transformers,,,\"['pytorch', 'tensorflow']\",13025.0,12897.0,https://pypi.org/project/transformers,2021-06-30 12:31:04.000000,128.0,2964354.0,2966713.0,https://anaconda.org/conda-forge/transformers,2021-06-30 16:31:05.853000,48675.0,,,,,1.0,1359.0,,,,,,,,,,,,,,,,,,,,,\n18,OpenAI Gym,openai/gym,,reinforcement-learning,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16.000000,2021-07-01 13:13:26.000000,2021-05-17 23:19:33.000000,7031,312.0,1071.0,24530.0,1245.0,A toolkit for developing and comparing reinforcement learning algorithms.,275.0,36,True,2021-05-18 00:09:21.000000,0.18.3,93.0,gym,,,,,24890.0,21328.0,https://pypi.org/project/gym,2021-05-18 00:09:21.000000,3562.0,654340.0,654340.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n19,LightGBM,microsoft/LightGBM,,ml-frameworks,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000000,2021-07-01 00:52:22.000000,2021-06-30 11:16:02.000000,3306,121.0,2195.0,12696.0,2574.0,\"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..\",233.0,36,True,2021-04-12 23:03:24.000000,3.2.1,25.0,lightgbm,conda-forge/lightgbm,,,,8281.0,7725.0,https://pypi.org/project/lightgbm,2021-03-22 15:04:09.000000,556.0,3588635.0,3603919.0,https://anaconda.org/conda-forge/lightgbm,2021-04-20 13:04:15.819000,631712.0,,,,,1.0,108342.0,,,,,,,,,,,,,,,,,,,,,\n20,gensim,RaRe-Technologies/gensim,,nlp,https://github.com/RaRe-Technologies/gensim,https://github.com/RaRe-Technologies/gensim,LGPL-2.1,2011-02-10 07:43:04.000000,2021-07-01 07:58:41.000000,2021-06-29 09:09:24.000000,4025,378.0,1316.0,12196.0,4144.0,Topic Modelling for Humans.,408.0,36,True,2021-04-01 14:19:26.000000,4.0.1,85.0,gensim,conda-forge/gensim,,,,29584.0,24842.0,https://pypi.org/project/gensim,2021-03-25 13:43:34.000000,4742.0,7877448.0,7892234.0,https://anaconda.org/conda-forge/gensim,2021-06-15 14:29:56.801000,677981.0,,,,,1.0,3306.0,,,,,,,,,,,,,,,,,,,,,\n21,Plotly,plotly/plotly.py,,data-viz,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000000,2021-06-28 22:31:25.796000,2021-06-28 21:03:29.000000,1828,902.0,1111.0,9763.0,5126.0,The interactive graphing library for Python (includes Plotly Express).,178.0,36,True,2021-06-28 21:06:45.000000,5.1.0,269.0,plotly,conda-forge/plotly,,,,4991.0,5.0,https://pypi.org/project/plotly,2021-06-28 19:35:15.000000,4982.0,5749407.0,5821854.0,https://anaconda.org/conda-forge/plotly,2021-06-28 22:31:25.796000,1530726.0,,,,,1.0,,,plotlywidget,https://www.npmjs.com/package/plotlywidget,2021-01-12 16:09:46.133000,4.0,46503.0,,,,,,,,,,,,,,,\n22,torchvision,pytorch/vision,,image,https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000000,2021-07-01 14:09:04.000000,2021-06-30 09:47:37.000000,4807,468.0,1333.0,9357.0,1865.0,\"Datasets, Transforms and Models specific to Computer Vision.\",401.0,36,True,2021-06-15 16:00:00.000000,0.10.0,24.0,torchvision,conda-forge/torchvision,,,['pytorch'],59586.0,54974.0,https://pypi.org/project/torchvision,2021-06-15 16:00:00.000000,4612.0,1657555.0,1659268.0,https://anaconda.org/conda-forge/torchvision,2021-04-22 07:21:30.407000,73688.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n23,SymPy,sympy/sympy,,others,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000000,2021-07-01 14:51:43.000000,2021-07-01 11:52:27.000000,3416,4148.0,7401.0,8213.0,47187.0,A computer algebra system written in pure Python.,1077.0,36,True,2021-04-09 22:38:24.000000,sympy-1.8,37.0,sympy,conda-forge/sympy,,,,39636.0,33214.0,https://pypi.org/project/sympy,2021-04-09 22:41:01.000000,6422.0,1410822.0,1440153.0,https://anaconda.org/conda-forge/sympy,2021-04-10 01:00:41.286000,1542806.0,,,,,1.0,427096.0,,,,,,,,,,,,,,,,,,,,,\n24,Arrow,apache/arrow,,data-containers,https://github.com/apache/arrow,https://github.com/apache/arrow,Apache-2.0,2016-02-17 08:00:23.000000,2021-07-01 14:59:43.000000,2021-07-01 14:24:44.000000,1943,174.0,612.0,8091.0,9465.0,Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing.,694.0,36,True,2021-04-26 21:13:42.000000,4.0.0,32.0,pyarrow,conda-forge/arrow,,,,1033.0,47.0,https://pypi.org/project/pyarrow,2021-05-30 17:16:04.000000,986.0,25340688.0,25351019.0,https://anaconda.org/conda-forge/arrow,2021-06-24 17:36:08.348000,640523.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n25,Tensorboard,tensorflow/tensorboard,,ml-experiments,https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000000,2021-06-30 23:40:39.000000,2021-06-30 17:53:52.000000,1401,551.0,989.0,5550.0,4614.0,TensorFlow's Visualization Toolkit.,261.0,36,True,2021-04-19 18:42:18.000000,2.5.0,37.0,tensorboard,conda-forge/tensorboard,,,['tensorflow'],73706.0,70092.0,https://pypi.org/project/tensorboard,2021-01-14 20:49:19.000000,3614.0,10064623.0,10113074.0,https://anaconda.org/conda-forge/tensorboard,2021-06-11 23:53:46.549000,2131871.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n26,joblib,joblib/joblib,,data-pipelines,https://github.com/joblib/joblib,https://github.com/joblib/joblib,BSD-3-Clause,2010-05-07 06:48:26.000000,2021-07-01 13:51:17.000000,2021-06-11 10:31:40.000000,286,291.0,364.0,2474.0,1375.0,Computing with Python functions.,102.0,36,True,2021-02-09 16:46:29.000000,1.0.1,100.0,joblib,conda-forge/joblib,,,,119200.0,112590.0,https://pypi.org/project/joblib,2021-02-09 16:46:29.000000,6610.0,25531277.0,25604395.0,https://anaconda.org/conda-forge/joblib,2021-02-09 19:26:28.194000,4387100.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n27,h5py,h5py/h5py,,data-containers,https://github.com/h5py/h5py,https://github.com/h5py/h5py,BSD-3-Clause,2012-09-21 00:40:02.000000,2021-06-28 09:48:38.000000,2021-06-22 12:05:42.000000,409,214.0,1002.0,1531.0,3679.0,HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.,163.0,36,True,2021-06-22 12:06:46.000000,3.3.0,28.0,h5py,conda-forge/h5py,,,,144775.0,121839.0,https://pypi.org/project/h5py,2021-06-22 12:26:45.000000,22936.0,11730284.0,11815993.0,https://anaconda.org/conda-forge/h5py,2021-06-23 03:02:36.658000,5484015.0,,,,,1.0,1173.0,,,,,,,,,,,,,,,,,,,,,\n28,Ray,ray-project/ray,,distributed-ml,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000000,2021-07-01 14:47:57.000000,2021-07-01 14:22:25.000000,2740,1710.0,5488.0,16454.0,8529.0,\"An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged..\",510.0,35,True,2021-06-30 22:04:46.000000,1.4.1,49.0,ray,,,,,2514.0,2354.0,https://pypi.org/project/ray,2021-06-30 22:04:46.000000,160.0,545185.0,545185.0,,,,,,,,1.0,,,,,,,,2.0,,,,,,,,,,,,,,\n29,dash,plotly/dash,,data-viz,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000000,2021-07-01 14:27:22.000000,2021-06-29 01:40:29.000000,1467,444.0,592.0,14778.0,3544.0,\"Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.\",79.0,35,True,2021-04-08 22:35:48.000000,1.20.0,137.0,dash,conda-forge/dash,,,,23524.0,21916.0,https://pypi.org/project/dash,2021-01-19 23:50:28.000000,1608.0,551588.0,558478.0,https://anaconda.org/conda-forge/dash,2021-04-10 06:31:33.446000,261827.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n30,nltk,nltk/nltk,,nlp,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58.000000,2021-07-01 06:58:28.000000,2021-06-30 23:47:52.000000,2467,237.0,1256.0,9962.0,,Suite of libraries and programs for symbolic and statistical natural language processing for English.,397.0,35,True,2021-04-07 21:36:50.000000,3.6.1,41.0,nltk,conda-forge/nltk,,,,127063.0,106071.0,https://pypi.org/project/nltk,2021-04-07 21:36:50.000000,20992.0,11239534.0,11252489.0,https://anaconda.org/conda-forge/nltk,2021-04-20 15:34:03.018000,764393.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n31,networkx,networkx/networkx,,graph,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44.000000,2021-07-01 13:32:35.000000,2021-06-30 18:22:09.000000,2341,284.0,2397.0,9290.0,,Network Analysis in Python.,529.0,35,True,2021-04-03 22:22:02.000000,2.5.1,55.0,networkx,conda-forge/networkx,,,,99468.0,78650.0,https://pypi.org/project/networkx,2021-06-23 06:46:26.000000,20818.0,12479809.0,12547911.0,https://anaconda.org/conda-forge/networkx,2021-04-04 01:32:23.917000,3881847.0,,,,,1.0,54.0,,,,,,,,,,,,,,,,,,,,,\n32,MXNet,apache/incubator-mxnet,,ml-frameworks,https://github.com/apache/incubator-mxnet,https://github.com/apache/incubator-mxnet,Apache-2.0,2015-04-30 16:21:15.000000,2021-07-01 08:15:41.000000,2021-06-30 20:03:12.000000,6845,1897.0,7642.0,19539.0,11619.0,\"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..\",960.0,34,True,2021-03-21 14:56:00.000000,1.8.0,980.0,mxnet,mxnet,,,['mxnet'],2599.0,2155.0,https://pypi.org/project/mxnet,2021-03-31 20:05:38.000000,444.0,225269.0,225799.0,https://anaconda.org/anaconda/mxnet,2020-02-29 00:58:31.007000,6268.0,,,,,2.0,23898.0,,,,,,,,0.0,,,,,,,,,,,,,\n33,luigi,spotify/luigi,,data-pipelines,https://github.com/spotify/luigi,https://github.com/spotify/luigi,Apache-2.0,2012-09-20 15:06:38.000000,2021-06-28 08:50:32.000000,2021-04-16 07:52:49.000000,2246,73.0,844.0,14677.0,3993.0,\"Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution,..\",556.0,34,True,2021-04-16 09:12:59.000000,3.0.3,72.0,luigi,luigi,,,,2148.0,1472.0,https://pypi.org/project/luigi,2020-09-23 11:57:12.000000,676.0,802907.0,803020.0,https://anaconda.org/anaconda/luigi,2021-04-17 18:49:18.708000,7405.0,,,,,1.0,,stable/luigi,,,,,,,0.0,,,,,,,,,,,,,\n34,pytorch-lightning,PyTorchLightning/pytorch-lightning,,ml-frameworks,https://github.com/PyTorchLightning/pytorch-lightning,https://github.com/PyTorchLightning/pytorch-lightning,Apache-2.0,2019-03-31 00:45:57.000000,2021-07-01 14:04:12.000000,2021-07-01 13:16:38.000000,1690,341.0,3223.0,14348.0,5167.0,\"The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.\",484.0,34,True,2021-07-01 13:55:51.000000,1.3.8,176.0,pytorch-lightning,conda-forge/pytorch-lightning,,,['pytorch'],3589.0,3575.0,https://pypi.org/project/pytorch-lightning,2021-06-23 13:15:19.000000,14.0,542060.0,555816.0,https://anaconda.org/conda-forge/pytorch-lightning,2021-06-22 16:00:37.757000,176912.0,,,,,2.0,3564.0,,,,,,,,,,,,,,,,,,,,,\n35,shap,slundberg/shap,,interpretability,https://github.com/slundberg/shap,https://github.com/slundberg/shap,MIT,2016-11-22 19:17:08.000000,2021-07-01 08:28:09.000000,2021-05-17 19:05:26.000000,1900,1084.0,533.0,13136.0,1930.0,A game theoretic approach to explain the output of any machine learning model.,156.0,34,True,2021-03-03 18:38:33.000000,0.39.0,93.0,shap,conda-forge/shap,,,,3011.0,2875.0,https://pypi.org/project/shap,2021-01-15 21:02:34.000000,136.0,2408653.0,2424283.0,https://anaconda.org/conda-forge/shap,2021-04-29 12:11:05.706000,547052.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n36,onnx,onnx/onnx,,model-serialisation,https://github.com/onnx/onnx,https://github.com/onnx/onnx,Apache-2.0,2017-09-07 04:53:45.000000,2021-07-01 06:30:07.000000,2021-06-28 21:15:54.000000,2001,494.0,1120.0,10873.0,1764.0,Open standard for machine learning interoperability.,201.0,34,True,2021-04-19 19:22:57.000000,1.9.0,21.0,onnx,conda-forge/onnx,,,,3744.0,3448.0,https://pypi.org/project/onnx,2021-04-19 19:22:57.000000,296.0,1850674.0,1856772.0,https://anaconda.org/conda-forge/onnx,2021-05-08 08:02:42.009000,253871.0,,,,,1.0,14845.0,,,,,,,,,,,,,,,,,,,,,\n37,Theano,Theano/Theano,,ml-frameworks,https://github.com/Theano/Theano,https://github.com/Theano/Theano,BSD-3-Clause,2011-08-10 03:48:06.000000,2021-06-05 14:19:15.755000,2021-04-13 19:05:58.000000,2514,674.0,2085.0,9425.0,28126.0,\"Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving..\",384.0,34,True,2020-07-27 16:13:54.000000,1.0.5,45.0,theano,conda-forge/theano,,,,16693.0,11219.0,https://pypi.org/project/theano,2020-07-27 16:13:54.000000,5474.0,253756.0,280071.0,https://anaconda.org/conda-forge/theano,2021-06-05 14:19:15.755000,1578913.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n38,pydeck,visgl/deck.gl,,geospatial-data,https://github.com/visgl/deck.gl,https://github.com/visgl/deck.gl,MIT,2015-12-15 08:38:29.000000,2021-07-01 13:04:29.000000,2021-06-30 22:57:36.000000,1575,97.0,2072.0,8784.0,3695.0,WebGL2 powered geospatial visualization layers.,169.0,34,True,2021-06-29 00:22:07.000000,8.4.19,476.0,pydeck,conda-forge/pydeck,,,['jupyter'],2194.0,1632.0,https://pypi.org/project/pydeck,2021-04-13 02:26:45.000000,2.0,332985.0,545116.0,https://anaconda.org/conda-forge/pydeck,2021-04-13 20:41:22.066000,38146.0,,,,,1.0,,,deck.gl,https://www.npmjs.com/package/deck.gl,2021-06-21 21:41:39.081000,560.0,209888.0,,,,,,,,,,,,,,,\n39,dask,dask/dask,,distributed-ml,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000000,2021-07-01 14:00:37.000000,2021-07-01 13:49:00.000000,1290,754.0,3074.0,8510.0,,Parallel computing with task scheduling.,455.0,34,True,2021-06-22 16:57:56.000000,2021.6.2,121.0,dask,conda-forge/dask,,,,32619.0,28703.0,https://pypi.org/project/dask,2021-06-22 16:57:56.000000,3916.0,4573477.0,4631840.0,https://anaconda.org/conda-forge/dask,2021-06-23 01:41:22.341000,3618534.0,,,,,1.0,,stable/dask,,,,,,,,,,,,,,,,,,,,\n40,rq,rq/rq,,data-pipelines,https://github.com/rq/rq,https://github.com/rq/rq,BSD-3-Clause,2011-11-14 10:53:48.000000,2021-06-30 14:24:15.000000,2021-06-30 07:08:23.000000,1237,155.0,723.0,7780.0,1585.0,Simple job queues for Python.,242.0,34,True,2021-06-30 07:22:37.000000,1.9.0,66.0,rq,conda-forge/rq,,,,11578.0,8254.0,https://pypi.org/project/rq,2021-06-30 07:21:51.000000,3324.0,482125.0,483040.0,https://anaconda.org/conda-forge/rq,2021-06-30 09:49:43.099000,54926.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n41,PyFlink,apache/flink,,ml-frameworks,https://github.com/apache/flink,https://github.com/apache/flink,Apache-2.0,2014-06-07 07:00:10.000000,2021-07-01 13:39:27.000000,2021-07-01 09:56:16.000000,9068,573.0,,16564.0,27290.0,Apache Flink Python API.,1306.0,33,True,2021-05-28 14:53:34.000000,1.13.1,18.0,apache-flink,,,,,302.0,302.0,https://pypi.org/project/apache-flink,2021-05-28 14:53:34.000000,0.0,7661.0,7661.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n42,Bokeh,bokeh/bokeh,,data-viz,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000000,2021-07-01 12:15:22.000000,2021-06-30 21:59:20.000000,3730,684.0,5940.0,15255.0,,\"Interactive Data Visualization in the browser, from Python.\",562.0,33,True,2021-05-10 16:59:13.000000,2.3.2,97.0,bokeh,conda-forge/bokeh,,,,41770.0,35898.0,https://pypi.org/project/bokeh,2021-06-14 06:03:36.000000,5872.0,1919213.0,2012974.0,https://anaconda.org/conda-forge/bokeh,2021-05-11 13:20:48.298000,4781861.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n43,mlflow,mlflow/mlflow,,ml-experiments,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000000,2021-07-01 12:34:10.000000,2021-07-01 01:26:10.000000,2097,810.0,1089.0,9696.0,2074.0,Open source platform for the machine learning lifecycle.,302.0,33,True,2021-06-18 10:14:56.000000,1.18.0,46.0,mlflow,conda-forge/mlflow,,,,154.0,,https://pypi.org/project/mlflow,2021-06-18 09:24:25.000000,154.0,6754572.0,6767159.0,https://anaconda.org/conda-forge/mlflow,2021-06-18 15:40:23.433000,339852.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n44,StatsModels,statsmodels/statsmodels,,ml-frameworks,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000000,2021-06-30 12:09:01.000000,2021-06-24 10:34:03.000000,2261,2132.0,2341.0,6420.0,,Statsmodels: statistical modeling and econometrics in Python.,321.0,33,True,2021-02-02 11:08:49.000000,0.12.2,25.0,statsmodels,conda-forge/statsmodels,,,,51854.0,45198.0,https://pypi.org/project/statsmodels,2021-02-02 11:08:49.000000,6656.0,5563118.0,5633326.0,https://anaconda.org/conda-forge/statsmodels,2021-02-15 17:38:00.380000,4282714.0,,,,,2.0,25.0,,,,,,,,,,,,,,,,,,,,,\n45,scikit-image,scikit-image/scikit-image,,image,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,BSD-2-Clause,2011-07-07 22:07:20.000000,2021-07-01 01:50:11.000000,2021-07-01 01:50:11.000000,1822,694.0,1546.0,4399.0,,Image processing in Python.,498.0,33,True,2021-01-19 08:17:34.000000,0.18.1,38.0,scikit-image,conda-forge/scikit-image,,,,87830.0,73056.0,https://pypi.org/project/scikit-image,2021-06-29 01:49:12.000000,14774.0,4014048.0,4056065.0,https://anaconda.org/conda-forge/scikit-image,2021-01-21 20:53:16.554000,2605083.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n46,TensorFlow Datasets,tensorflow/datasets,,tensorflow-utils,https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000000,2021-07-01 15:37:04.000000,2021-07-01 15:26:31.000000,1060,474.0,573.0,2891.0,4080.0,\"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...\",211.0,33,True,2021-05-07 13:09:09.000000,4.3.0,22.0,tensorflow-datasets,,,,['tensorflow'],5328.0,5226.0,https://pypi.org/project/tensorflow-datasets,2021-05-07 11:42:04.000000,102.0,1313372.0,1313372.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n47,Shapely,Toblerity/Shapely,,geospatial-data,https://github.com/Toblerity/Shapely,https://github.com/Toblerity/Shapely,BSD-3-Clause,2011-12-31 19:43:11.000000,2021-06-24 01:26:36.000000,2021-06-24 01:26:36.000000,410,138.0,621.0,2330.0,1520.0,Manipulation and analysis of geometric objects.,116.0,33,True,2020-12-15 18:27:01.000000,1.7.1,100.0,shapely,conda-forge/shapely,,,,25469.0,20011.0,https://pypi.org/project/shapely,2021-03-04 00:27:13.000000,5458.0,4491847.0,4527585.0,https://anaconda.org/conda-forge/shapely,2021-06-02 19:34:35.262000,2465934.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n48,jieba,fxsjy/jieba,,chinese-nlp,https://github.com/fxsjy/jieba,https://github.com/fxsjy/jieba,MIT,2012-09-29 07:52:01.000000,2021-05-30 19:33:02.597000,2020-02-15 08:33:35.000000,6267,609.0,205.0,26557.0,523.0,Chinese Words Segmentation Utilities.,48.0,32,False,2020-01-20 14:27:23.000000,0.42.1,32.0,jieba,conda-forge/jieba,,,,13054.0,10538.0,https://pypi.org/project/jieba,2020-01-20 14:27:23.000000,2516.0,460485.0,462124.0,https://anaconda.org/conda-forge/jieba,2021-05-30 19:33:02.597000,83596.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n49,tensor2tensor,tensorflow/tensor2tensor,,tensorflow-utils,https://github.com/tensorflow/tensor2tensor,https://github.com/tensorflow/tensor2tensor,Apache-2.0,2017-06-15 16:57:39.000000,2021-06-27 15:08:53.000000,2021-06-22 02:47:08.000000,2909,562.0,667.0,11386.0,4351.0,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,233.0,32,True,2020-06-17 16:15:36.000000,1.15.7,79.0,tensor2tensor,,,,['tensorflow'],1164.0,1000.0,https://pypi.org/project/tensor2tensor,2020-06-17 16:15:36.000000,164.0,280840.0,280840.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n50,flair,flairNLP/flair,,nlp,https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,MIT,2018-06-11 11:04:18.000000,2021-07-01 06:24:46.000000,2021-07-01 06:24:45.000000,1654,95.0,1473.0,10511.0,3388.0,A very simple framework for state-of-the-art Natural Language Processing (NLP).,201.0,32,True,2021-03-05 11:57:03.000000,0.8,21.0,flair,,,,['pytorch'],875.0,827.0,https://pypi.org/project/flair,2021-03-08 23:08:40.000000,48.0,70996.0,70996.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n51,AllenNLP,allenai/allennlp,,nlp,https://github.com/allenai/allennlp,https://github.com/allenai/allennlp,Apache-2.0,2017-05-15 15:52:41.000000,2021-07-01 13:03:04.000000,2021-06-30 23:57:42.000000,2076,98.0,2291.0,10285.0,2357.0,\"An open-source NLP research library, built on PyTorch.\",244.0,32,True,2021-06-03 17:35:55.000000,2.5.0,209.0,allennlp,,,,['pytorch'],2007.0,1773.0,https://pypi.org/project/allennlp,2021-07-01 11:49:55.000000,234.0,39550.0,39550.0,,,,,,,,1.0,40.0,,,,,,,,,,,,,,,,,,,,,\n52,dlib,davisking/dlib,,ml-frameworks,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000000,2021-06-30 10:43:43.000000,2021-06-30 10:43:43.000000,2933,41.0,1876.0,10282.0,7945.0,A toolkit for making real world machine learning and data analysis applications in C++.,167.0,32,False,2021-03-28 13:36:18.000000,19.22,28.0,dlib,conda-forge/dlib,,,,11906.0,10548.0,https://pypi.org/project/dlib,2020-12-04 19:23:04.000000,1358.0,118510.0,124538.0,https://anaconda.org/conda-forge/dlib,2021-04-03 09:47:47.788000,330131.0,,,,,2.0,24607.0,,,,,,,,,,,,,,,,,,,,,\n53,DVC,iterative/dvc,,ml-experiments,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000000,2021-07-01 11:59:35.000000,2021-07-01 11:59:35.000000,782,553.0,2529.0,8195.0,6663.0,Data Version Control | Git for Data & Models | ML Experiments Management.,227.0,32,True,2021-06-29 14:29:54.000000,2.4.3,323.0,dvc,conda-forge/dvc,,,,1222.0,1176.0,https://pypi.org/project/dvc,2021-06-29 14:29:54.000000,46.0,296957.0,330526.0,https://anaconda.org/conda-forge/dvc,2021-06-29 18:13:38.520000,751055.0,,,,,1.0,29596.0,,,,,,,,,dvc,dvc,dvc,,,,,,,,,,\n54,pandas-profiling,pandas-profiling/pandas-profiling,,data-viz,https://github.com/pandas-profiling/pandas-profiling,https://github.com/pandas-profiling/pandas-profiling,MIT,2016-01-09 23:47:55.000000,2021-06-28 17:17:47.000000,2021-06-27 20:16:39.000000,1106,71.0,400.0,7544.0,852.0,Create HTML profiling reports from pandas DataFrame objects.,79.0,32,True,2021-05-11 22:24:40.000000,3.0.0,30.0,pandas-profiling,conda-forge/pandas-profiling,,,\"['jupyter', 'pandas']\",4686.0,4526.0,https://pypi.org/project/pandas-profiling,2021-05-11 22:24:40.000000,160.0,467371.0,469728.0,https://anaconda.org/conda-forge/pandas-profiling,2021-05-12 01:17:17.354000,139101.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n55,Chainer,chainer/chainer,,ml-frameworks,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37.000000,2021-06-10 09:05:27.000000,2021-06-10 08:30:31.000000,1374,18.0,2025.0,5584.0,30595.0,A flexible framework of neural networks for deep learning.,318.0,32,True,2021-06-10 09:05:28.000000,7.8.0,110.0,chainer,,,,,3060.0,2318.0,https://pypi.org/project/chainer,2021-06-10 08:29:05.000000,742.0,30026.0,30026.0,,,,,,,,2.0,,,,,,,,2.0,,,,,,,,,,,,,,\n56,folium,python-visualization/folium,,geospatial-data,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000000,2021-06-28 15:44:27.000000,2021-06-19 11:04:19.000000,1951,167.0,699.0,5321.0,1475.0,Python Data. Leaflet.js Maps.,122.0,32,True,2021-01-18 17:29:40.000000,0.12.1,25.0,folium,conda-forge/folium,,,,11635.0,10667.0,https://pypi.org/project/folium,2021-01-18 17:29:40.000000,968.0,513857.0,519695.0,https://anaconda.org/conda-forge/folium,2021-03-12 17:41:57.124000,373683.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n57,imbalanced-learn,scikit-learn-contrib/imbalanced-learn,,sklearn-utils,https://github.com/scikit-learn-contrib/imbalanced-learn,https://github.com/scikit-learn-contrib/imbalanced-learn,MIT,2014-08-16 05:08:26.000000,2021-06-18 13:14:13.000000,2021-05-25 16:10:30.000000,1099,39.0,431.0,5312.0,740.0,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,58.0,32,True,2021-02-18 14:00:33.000000,0.8.0,27.0,imbalanced-learn,conda-forge/imbalanced-learn,,,['sklearn'],6365.0,6085.0,https://pypi.org/project/imbalanced-learn,2021-02-18 13:50:00.000000,280.0,1873644.0,1876745.0,https://anaconda.org/conda-forge/imbalanced-learn,2021-02-18 15:40:00.937000,139559.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n58,CuPy,cupy/cupy,,gpu-utilities,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000000,2021-07-01 11:29:23.000000,2021-07-01 02:51:30.000000,481,356.0,1069.0,5193.0,22138.0,NumPy & SciPy for GPU.,264.0,32,True,2021-06-24 08:32:19.000000,9.2.0,96.0,cupy,conda-forge/cupy,cupy/cupy,,,952.0,760.0,https://pypi.org/project/cupy,2021-06-24 06:54:30.000000,192.0,78549.0,113685.0,https://anaconda.org/conda-forge/cupy,2021-06-26 12:55:54.483000,712028.0,https://hub.docker.com/r/cupy/cupy,2021-07-01 02:57:48.100713,6.0,51191.0,1.0,16787.0,,,,,,,,,,,,,,,,,,,,,\n59,Beam,apache/beam,,data-pipelines,https://github.com/apache/beam,https://github.com/apache/beam,Apache-2.0,2016-02-02 08:00:06.000000,2021-07-01 15:14:17.000000,2021-06-30 20:18:44.000000,3077,168.0,,4884.0,32386.0,\"Unified programming model to define and execute data processing pipelines, including ETL, batch and stream processing.\",1078.0,32,True,2021-06-09 21:48:14.000000,2.30.0,36.0,apache-beam,,,,,186.0,,https://pypi.org/project/apache-beam,2021-06-22 00:08:37.000000,186.0,3073385.0,3073385.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n60,Optuna,optuna/optuna,,hyperopt,https://github.com/optuna/optuna,https://github.com/optuna/optuna,MIT,2018-02-21 06:12:56.000000,2021-06-30 06:46:16.000000,2021-06-30 06:46:15.000000,521,162.0,710.0,4749.0,10186.0,A hyperparameter optimization framework.,140.0,32,True,2021-06-07 07:07:08.000000,2.8.0,38.0,optuna,conda-forge/optuna,,,,1592.0,1540.0,https://pypi.org/project/optuna,2021-06-07 07:07:08.000000,52.0,652836.0,654374.0,https://anaconda.org/conda-forge/optuna,2021-06-07 09:30:29.517000,30779.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n61,geopy,geopy/geopy,,geospatial-data,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000000,2021-06-14 20:47:10.000000,2021-04-17 15:44:06.000000,535,25.0,223.0,3350.0,1061.0,Geocoding library for Python.,122.0,32,True,2020-12-27 13:15:23.000000,2.1.0,57.0,geopy,conda-forge/geopy,,,,30095.0,22851.0,https://pypi.org/project/geopy,2020-12-27 13:12:21.000000,7244.0,5053626.0,5062342.0,https://anaconda.org/conda-forge/geopy,2020-12-27 14:22:55.127000,557836.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n62,tensorflow-hub,tensorflow/hub,,tensorflow-utils,https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42.000000,2021-07-01 06:49:19.000000,2021-07-01 06:49:16.000000,1502,34.0,583.0,2872.0,911.0,A library for transfer learning by reusing parts of TensorFlow models.,73.0,32,True,2021-04-14 13:17:26.000000,0.12.0,15.0,tensorflow-hub,conda-forge/tensorflow-hub,,,['tensorflow'],7668.0,7354.0,https://pypi.org/project/tensorflow-hub,2021-04-14 12:54:13.000000,314.0,2826133.0,2827597.0,https://anaconda.org/conda-forge/tensorflow-hub,2021-04-18 18:01:14.779000,54175.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n63,GeoPandas,geopandas/geopandas,,geospatial-data,https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000000,2021-07-01 13:22:55.000000,2021-07-01 12:52:29.000000,594,324.0,748.0,2683.0,1402.0,Python tools for geographic data.,143.0,32,True,2021-02-28 21:10:46.000000,0.9.0,37.0,geopandas,conda-forge/geopandas,,,['pandas'],10204.0,9038.0,https://pypi.org/project/geopandas,2021-02-28 21:10:43.000000,1166.0,1221250.0,1237435.0,https://anaconda.org/conda-forge/geopandas,2021-06-09 14:45:13.341000,1034790.0,,,,,1.0,1065.0,,,,,,,,,,,,,,,,,,,,,\n64,Thinc,explosion/thinc,,ml-frameworks,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59.000000,2021-07-01 12:12:11.000000,2021-07-01 11:05:13.000000,210,19.0,93.0,2315.0,4949.0,\"A refreshing functional take on deep learning, compatible with your favorite libraries.\",39.0,32,True,2021-07-01 12:13:50.000000,8.0.7,193.0,thinc,conda-forge/thinc,,,,15439.0,14301.0,https://pypi.org/project/thinc,2021-07-01 12:12:11.000000,1138.0,2496171.0,2524498.0,https://anaconda.org/conda-forge/thinc,2021-06-23 08:04:22.921000,1501346.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n65,Rasterio,mapbox/rasterio,,geospatial-data,https://github.com/mapbox/rasterio,https://github.com/mapbox/rasterio,BSD-3-Clause,2013-11-04 16:36:27.000000,2021-06-30 01:22:40.000000,2021-06-28 15:31:43.000000,420,147.0,1272.0,1522.0,3368.0,Rasterio reads and writes geospatial raster datasets.,111.0,32,True,2021-06-23 00:38:10.000000,1.2.6,127.0,rasterio,conda-forge/rasterio,,,,4211.0,3361.0,https://pypi.org/project/rasterio,2021-06-23 00:38:10.000000,850.0,628063.0,645475.0,https://anaconda.org/conda-forge/rasterio,2021-06-24 09:36:51.700000,1113784.0,,,,,1.0,733.0,,,,,,,,,,,,,,,,,,,,,\n66,TF Addons,tensorflow/addons,,tensorflow-utils,https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17.000000,2021-07-01 04:00:21.000000,2021-07-01 03:47:12.000000,476,217.0,657.0,1313.0,1367.0,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,166.0,32,True,2021-05-15 16:45:30.000000,0.13.0,26.0,tensorflow-addons,,,,['tensorflow'],3500.0,3482.0,https://pypi.org/project/tensorflow-addons,2021-05-15 17:10:13.000000,18.0,3249989.0,3249989.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n67,dask.distributed,dask/distributed,,distributed-ml,https://github.com/dask/distributed,https://github.com/dask/distributed,BSD-3-Clause,2015-09-13 18:42:29.000000,2021-07-01 12:52:08.000000,2021-06-30 23:30:02.000000,535,843.0,1408.0,1217.0,,A distributed task scheduler for Dask.,245.0,32,True,2021-06-18 17:00:44.000000,2021.6.1,152.0,distributed,conda-forge/distributed,,,,20778.0,19000.0,https://pypi.org/project/distributed,2021-06-22 16:58:07.000000,1778.0,3516920.0,3591171.0,https://anaconda.org/conda-forge/distributed,2021-06-23 00:14:27.888000,4603565.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n68,imageio,imageio/imageio,,image,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000000,2021-06-30 09:48:19.000000,2021-06-30 09:48:16.000000,181,69.0,303.0,886.0,1269.0,Python library for reading and writing image data.,79.0,32,True,2020-07-10 07:45:22.000000,2.9.0,31.0,imageio,conda-forge/imageio,,,,47893.0,44055.0,https://pypi.org/project/imageio,2020-07-06 13:20:41.000000,3838.0,8412965.0,8450895.0,https://anaconda.org/conda-forge/imageio,2020-07-06 14:13:25.518000,2048221.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n69,Airflow,apache/airflow,,data-pipelines,https://github.com/apache/airflow,https://github.com/apache/airflow,Apache-2.0,2015-04-13 18:04:58.000000,2021-07-01 14:37:08.000000,2021-07-01 14:34:31.000000,8678,935.0,2770.0,22476.0,,\"Platform to programmatically author, schedule, and monitor workflows.\",1917.0,31,True,2021-06-26 14:38:47.000000,upgrade-check/1.4.0,79.0,apache-airflow,conda-forge/airflow,apache/airflow,,,294.0,,https://pypi.org/project/apache-airflow,2021-06-26 06:27:50.000000,294.0,2476400.0,2849545.0,https://anaconda.org/conda-forge/airflow,2021-05-22 00:33:35.005000,349940.0,https://hub.docker.com/r/apache/airflow,2021-06-26 11:05:39.100843,261.0,27307138.0,2.0,145707.0,stable/airflow,,,,,,,,,,,,,,,,,,,,\n70,Fastai,fastai/fastai,,ml-frameworks,https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000000,2021-07-01 08:38:40.000000,2021-06-28 00:39:13.000000,7044,86.0,1389.0,21078.0,1767.0,The fastai deep learning library.,472.0,31,True,2021-06-16 01:12:27.000000,2.4,121.0,fastai,,,,['pytorch'],368.0,,https://pypi.org/project/fastai,2021-06-16 01:13:03.000000,368.0,169693.0,169693.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n71,PaddlePaddle,PaddlePaddle/Paddle,,ml-frameworks,https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000000,2021-07-01 13:54:40.000000,2021-07-01 12:36:38.000000,3856,2629.0,10972.0,15924.0,15069.0,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,568.0,31,True,2021-07-01 08:43:33.000000,2.1.1,46.0,paddlepaddle,,,,['paddle'],71.0,55.0,https://pypi.org/project/paddlepaddle,2021-06-25 07:07:45.000000,16.0,21542.0,21801.0,,,,,,,,2.0,15284.0,,,,,,,,,,,,,,,,,,,,,\n72,imgaug,aleju/imgaug,,image,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33.000000,2021-04-15 01:52:46.000000,2020-06-01 14:58:26.000000,2054,241.0,214.0,11401.0,2913.0,Image augmentation for machine learning experiments.,36.0,31,False,2020-02-06 06:18:40.000000,0.4.0,11.0,imgaug,conda-forge/imgaug,,,,7372.0,6816.0,https://pypi.org/project/imgaug,2020-02-05 20:54:22.000000,556.0,215947.0,217728.0,https://anaconda.org/conda-forge/imgaug,2020-02-14 16:06:53.525000,44530.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n73,ChatterBot,gunthercox/ChatterBot,,nlp,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00.000000,2021-06-30 14:39:29.000000,2021-06-01 10:43:00.000000,3796,271.0,1238.0,11265.0,1848.0,\"ChatterBot is a machine learning, conversational dialog engine for creating chat bots.\",103.0,31,True,2020-08-22 18:42:43.000000,1.0.8,86.0,chatterbot,,,,,4277.0,3597.0,https://pypi.org/project/chatterbot,2020-08-22 18:40:36.000000,680.0,27964.0,27964.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n74,pyecharts,pyecharts/pyecharts,,data-viz,https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000000,2021-06-10 07:11:57.000000,2021-05-07 10:24:17.000000,2446,20.0,1431.0,11157.0,1515.0,Python Echarts Plotting Library.,30.0,31,True,2020-10-29 15:14:08.000000,1.9.0,66.0,pyecharts,,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,['jupyter'],1987.0,1705.0,https://pypi.org/project/pyecharts,2020-10-29 15:14:08.000000,282.0,62804.0,62804.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n75,fuzzywuzzy,seatgeek/fuzzywuzzy,,nlp,https://github.com/seatgeek/fuzzywuzzy,https://github.com/seatgeek/fuzzywuzzy,GPL-2.0,2011-07-08 19:32:34.000000,2021-05-25 22:02:00.000000,2021-02-20 06:36:20.000000,851,103.0,100.0,8270.0,381.0,Fuzzy String Matching in Python.,68.0,31,False,2020-02-13 22:14:12.000000,0.18.0,27.0,fuzzywuzzy,conda-forge/fuzzywuzzy,,,,12414.0,9208.0,https://pypi.org/project/fuzzywuzzy,2020-02-13 21:06:25.000000,3206.0,4012559.0,4017690.0,https://anaconda.org/conda-forge/fuzzywuzzy,2020-11-18 12:59:01.409000,307885.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n76,Albumentations,albumentations-team/albumentations,,image,https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000000,2021-07-01 12:16:04.000000,2021-07-01 12:15:41.000000,1036,207.0,273.0,8255.0,642.0,Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation:..,78.0,31,True,2021-06-01 11:31:11.000000,1.0.0,45.0,albumentations,conda-forge/albumentations,,,['pytorch'],4357.0,4229.0,https://pypi.org/project/albumentations,2021-06-01 11:31:11.000000,128.0,184809.0,185626.0,https://anaconda.org/conda-forge/albumentations,2021-06-01 14:34:45.754000,20429.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n77,wordcloud,amueller/word_cloud,,data-viz,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59.000000,2021-03-21 10:56:17.000000,2021-03-01 23:14:14.000000,2079,100.0,351.0,8156.0,543.0,A little word cloud generator in Python.,61.0,31,True,2020-11-11 21:41:02.000000,1.8.1,16.0,wordcloud,conda-forge/wordcloud,,,,13185.0,12081.0,https://pypi.org/project/wordcloud,2020-11-11 21:41:02.000000,1104.0,489907.0,493691.0,https://anaconda.org/conda-forge/wordcloud,2021-01-14 18:03:24.960000,223290.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n78,MoviePy,Zulko/moviepy,,image,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000000,2021-06-02 15:38:21.000000,2021-06-02 15:38:21.000000,1041,337.0,747.0,7591.0,1061.0,Video editing with Python.,142.0,31,True,2020-05-07 16:29:35.000000,1.0.3,84.0,moviepy,conda-forge/moviepy,,,,9405.0,8275.0,https://pypi.org/project/moviepy,2020-10-05 00:26:29.000000,1130.0,4585561.0,4587316.0,https://anaconda.org/conda-forge/moviepy,2020-02-23 19:57:49.975000,84275.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n79,Altair,altair-viz/altair,,data-viz,https://github.com/altair-viz/altair,https://github.com/altair-viz/altair,BSD-3-Clause,2015-09-19 03:14:04.000000,2021-05-16 11:30:15.000000,2021-04-04 16:59:23.000000,608,234.0,1324.0,6745.0,3065.0,Declarative statistical visualization library for Python.,127.0,31,True,2020-04-01 13:29:16.000000,4.1.0,26.0,altair,conda-forge/altair,,,,13218.0,12848.0,https://pypi.org/project/altair,2020-04-01 13:23:10.000000,370.0,1706541.0,1719551.0,https://anaconda.org/conda-forge/altair,2020-04-01 16:49:36.519000,780640.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n80,Prefect,PrefectHQ/prefect,,data-pipelines,https://github.com/PrefectHQ/prefect,https://github.com/PrefectHQ/prefect,Apache-2.0,2018-06-29 21:59:26.000000,2021-06-30 20:32:55.000000,2021-06-29 20:12:19.000000,607,337.0,1467.0,6484.0,14042.0,The easiest way to automate your data.,212.0,31,True,2021-06-16 00:20:56.000000,0.14.22,99.0,prefect,conda-forge/prefect,,,,366.0,364.0,https://pypi.org/project/prefect,2021-06-16 00:20:56.000000,2.0,102719.0,106609.0,https://anaconda.org/conda-forge/prefect,2021-06-18 22:08:22.037000,108931.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n81,Hyperopt,hyperopt/hyperopt,,hyperopt,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59.000000,2021-06-30 04:29:22.000000,2021-06-30 04:29:22.000000,880,343.0,227.0,5706.0,1180.0,Distributed Asynchronous Hyperparameter Optimization in Python.,89.0,31,True,2020-10-07 09:52:56.000000,0.2.5,11.0,hyperopt,conda-forge/hyperopt,,,,4137.0,3633.0,https://pypi.org/project/hyperopt,2020-10-07 09:52:56.000000,504.0,1026244.0,1033122.0,https://anaconda.org/conda-forge/hyperopt,2020-10-14 07:57:14.292000,233853.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n82,Pydub,jiaaro/pydub,,audio,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38.000000,2021-06-29 21:59:01.000000,2021-06-08 14:06:40.000000,731,202.0,246.0,5429.0,742.0,Manipulate audio with a simple and easy high level interface.,90.0,31,True,2021-03-10 02:10:41.000000,0.25.1,68.0,pydub,conda-forge/pydub,,,,9019.0,7665.0,https://pypi.org/project/pydub,2021-03-10 02:09:53.000000,1354.0,1469461.0,1469979.0,https://anaconda.org/conda-forge/pydub,2021-03-13 05:16:50.142000,16088.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n83,sentencepiece,google/sentencepiece,,nlp,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000000,2021-07-01 02:33:29.000000,2021-07-01 02:33:29.000000,705,31.0,422.0,5169.0,695.0,Unsupervised text tokenizer for Neural Network-based text generation.,56.0,31,True,2021-06-18 09:34:31.000000,0.1.96,31.0,sentencepiece,conda-forge/sentencepiece,,,,8767.0,8527.0,https://pypi.org/project/sentencepiece,2021-06-18 09:34:31.000000,240.0,2595360.0,2601395.0,https://anaconda.org/conda-forge/sentencepiece,2021-02-09 05:49:50.247000,67116.0,,,,,1.0,15501.0,,,,,,,,,,,,,,,,,,,,,\n84,UMAP,lmcinnes/umap,,data-viz,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17.000000,2021-06-28 14:20:59.000000,2021-06-28 12:06:06.000000,535,257.0,258.0,4812.0,1439.0,Uniform Manifold Approximation and Projection.,87.0,31,True,2021-02-08 21:04:43.000000,0.5.1,35.0,umap-learn,,,,,3458.0,3232.0,https://pypi.org/project/umap-learn,2021-02-08 21:04:43.000000,226.0,452588.0,452588.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n85,wandb client,wandb/client,,ml-experiments,https://github.com/wandb/client,https://github.com/wandb/client,MIT,2017-03-24 05:46:23.000000,2021-07-01 15:16:14.000000,2021-06-30 13:38:52.000000,224,342.0,840.0,3086.0,4040.0,A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.,83.0,31,True,2021-06-30 01:12:57.000000,0.10.33,203.0,wandb,,,,,3627.0,3549.0,https://pypi.org/project/wandb,2021-06-30 00:49:02.000000,78.0,636485.0,636485.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n86,opencv-python,opencv/opencv-python,,image,https://github.com/opencv/opencv-python,https://github.com/opencv/opencv-python,MIT,2016-04-08 13:36:40.000000,2021-06-30 15:40:28.000000,2021-06-04 07:38:35.000000,395,26.0,412.0,2065.0,761.0,\"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..\",31.0,31,True,2021-06-07 08:27:24.000000,53,53.0,opencv-python,,,,,12560.0,,https://pypi.org/project/opencv-python,2021-06-07 13:39:37.000000,12560.0,4543676.0,4543676.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n87,SageMaker SDK,aws/sagemaker-python-sdk,,ml-experiments,https://github.com/aws/sagemaker-python-sdk,https://github.com/aws/sagemaker-python-sdk,Apache-2.0,2017-11-14 01:03:33.000000,2021-07-01 00:12:07.000000,2021-06-30 21:38:25.000000,646,244.0,607.0,1410.0,2059.0,A library for training and deploying machine learning models on Amazon SageMaker.,208.0,31,True,2021-06-30 16:27:50.000000,2.47.2,345.0,sagemaker,,,,\"['mxnet', 'tensorflow']\",782.0,754.0,https://pypi.org/project/sagemaker,2021-06-30 16:27:55.000000,28.0,740508.0,740508.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n88,Fiona,Toblerity/Fiona,,geospatial-data,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00.000000,2021-06-24 02:36:41.000000,2021-06-24 02:36:41.000000,175,80.0,563.0,817.0,1264.0,Fiona reads and writes geographic data files.,65.0,31,True,2021-05-31 23:04:33.000000,1.8.20,98.0,fiona,conda-forge/fiona,,,,7268.0,6080.0,https://pypi.org/project/fiona,2021-05-31 23:04:33.000000,1188.0,1585226.0,1617194.0,https://anaconda.org/conda-forge/fiona,2021-06-14 22:45:23.836000,2046003.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n89,pyproj,pyproj4/pyproj,,geospatial-data,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000000,2021-07-01 01:10:13.000000,2021-07-01 01:06:33.000000,155,10.0,405.0,626.0,1166.0,Python interface to PROJ (cartographic projections and coordinate transformations library).,41.0,31,True,2021-05-24 21:05:22.000000,3.1.0,35.0,pyproj,conda-forge/pyproj,,,,12630.0,10168.0,https://pypi.org/project/pyproj,2021-05-24 21:05:22.000000,2462.0,3197196.0,3231354.0,https://anaconda.org/conda-forge/pyproj,2021-06-16 00:57:22.613000,2288634.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n90,Keras,keras-team/keras,,ml-frameworks,https://github.com/keras-team/keras,https://github.com/keras-team/keras,MIT,2015-03-28 00:35:42.000000,2021-07-01 09:43:47.000000,2021-07-01 03:01:41.000000,18736,678.0,9943.0,51822.0,5598.0,Deep Learning for humans.,926.0,30,True,2020-06-24 22:40:48.000000,2.4.3,52.0,keras,conda-forge/keras,,https://keras.io,['tensorflow'],0.0,,https://pypi.org/project/keras,2021-06-30 18:04:16.000000,0.0,3284839.0,3313941.0,https://anaconda.org/conda-forge/keras,2021-04-19 19:56:38.549000,1717066.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n91,Face Recognition,ageitgey/face_recognition,,image,https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39.000000,2021-06-23 16:13:40.000000,2021-06-14 10:10:40.000000,11098,600.0,542.0,40514.0,219.0,The world's simplest facial recognition api for Python and the command line.,47.0,30,True,2018-08-21 18:34:21.000000,1.2.3,21.0,face_recognition,,,,['pytorch'],406.0,,https://pypi.org/project/face_recognition,2018-08-21 18:34:21.000000,406.0,69885.0,69893.0,,,,,,,,2.0,442.0,,,,,,,,,,,,,,,,,,,,,\n92,fastText,facebookresearch/fastText,,nlp,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000000,2021-06-26 06:53:29.000000,2020-07-18 00:20:40.000000,4350,452.0,596.0,22723.0,379.0,Library for fast text representation and classification.,58.0,30,True,2020-04-28 09:54:50.000000,0.9.2,35.0,fasttext,conda-forge/fasttext,,,,2100.0,1910.0,https://pypi.org/project/fasttext,2020-04-28 09:54:50.000000,190.0,360577.0,361031.0,https://anaconda.org/conda-forge/fasttext,2020-10-12 14:55:45.199000,20465.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n93,fairseq,pytorch/fairseq,,nlp,https://github.com/pytorch/fairseq,https://github.com/pytorch/fairseq,MIT,2017-08-29 16:26:12.000000,2021-07-01 13:37:52.000000,2021-07-01 13:37:47.000000,3318,857.0,1931.0,13202.0,1940.0,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,338.0,30,True,2021-01-05 20:26:45.000000,0.10.2,13.0,fairseq,,,,['pytorch'],457.0,437.0,https://pypi.org/project/fairseq,2021-01-05 20:26:45.000000,20.0,26835.0,26838.0,,,,,,,,2.0,135.0,,,,,,,,,,,,,,,,,,,,,\n94,jax,google/jax,,ml-frameworks,https://github.com/google/jax,https://github.com/google/jax,Apache-2.0,2018-10-25 21:25:02.000000,2021-07-01 12:22:14.000000,2021-07-01 08:38:01.000000,1197,761.0,1716.0,13185.0,,\"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.\",300.0,30,True,2021-06-23 22:41:37.000000,0.2.16,95.0,jax,conda-forge/jaxlib,,,,1931.0,1885.0,https://pypi.org/project/jax,2021-06-23 22:41:37.000000,46.0,397227.0,403514.0,https://anaconda.org/conda-forge/jaxlib,2021-05-18 05:56:35.288000,150899.0,,,,,2.0,,,,,,,,-5.0,,,,,,,,,,,,,,\n95,Annoy,spotify/annoy,,nn-search,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40.000000,2021-06-14 13:12:03.000000,2021-06-14 13:12:03.000000,908,37.0,280.0,8674.0,816.0,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,70.0,30,True,2020-09-18 16:07:59.000000,1.17.0,43.0,annoy,,,,,2008.0,1648.0,https://pypi.org/project/annoy,2020-09-18 16:07:59.000000,360.0,556187.0,556187.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n96,glfw,glfw/glfw,,image,https://github.com/glfw/glfw,https://github.com/glfw/glfw,Zlib,2013-04-18 15:24:53.000000,2021-07-01 09:56:05.000000,2021-06-25 18:19:40.000000,2868,456.0,1026.0,7793.0,4261.0,\"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.\",168.0,30,False,2021-04-08 17:55:06.000000,3.3.4,38.0,glfw,conda-forge/glfw,,,,214.0,,https://pypi.org/project/glfw,2021-02-28 20:43:49.000000,214.0,229779.0,262006.0,https://anaconda.org/conda-forge/glfw,2021-04-08 18:43:30.580000,33848.0,,,,,2.0,2360608.0,,,,,,,,,,,,,,,,,,,,,\n97,TextBlob,sloria/TextBlob,,nlp,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18.000000,2021-05-21 12:13:40.000000,2021-05-10 13:15:20.000000,995,85.0,151.0,7721.0,535.0,\"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..\",34.0,30,True,2019-02-24 23:03:17.000000,0.15.3,55.0,textblob,conda-forge/textblob,,,,15604.0,13112.0,https://pypi.org/project/textblob,2019-02-24 23:03:17.000000,2492.0,606828.0,608948.0,https://anaconda.org/conda-forge/textblob,2019-02-24 23:32:55.233000,125101.0,,,,,2.0,90.0,,,,,,,,,,,,,,,,,,,,,\n98,Vowpal Wabbit,VowpalWabbit/vowpal_wabbit,,ml-frameworks,https://github.com/VowpalWabbit/vowpal_wabbit,https://github.com/VowpalWabbit/vowpal_wabbit,BSD-3-Clause,2009-07-31 19:36:58.000000,2021-07-01 04:43:39.000000,2021-07-01 00:20:41.000000,1747,140.0,920.0,7595.0,9247.0,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,301.0,30,True,2021-06-11 15:35:58.000000,8.10.2,17.0,vowpalwabbit,,,,,161.0,145.0,https://pypi.org/project/vowpalwabbit,2021-06-11 15:35:58.000000,16.0,24375.0,24375.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n99,tensorboardX,lanpa/tensorboardX,,ml-experiments,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19.000000,2021-06-30 12:49:17.000000,2021-06-20 07:06:59.000000,818,68.0,359.0,7007.0,471.0,\"tensorboard for pytorch (and chainer, mxnet, numpy, ...).\",67.0,30,True,2021-04-25 09:18:11.000000,2.2,15.0,tensorboardX,conda-forge/tensorboardx,,,,14293.0,12959.0,https://pypi.org/project/tensorboardX,2021-06-30 12:49:17.000000,1334.0,1162110.0,1171839.0,https://anaconda.org/conda-forge/tensorboardx,2021-04-06 13:33:53.253000,408393.0,,,,,2.0,327.0,,,,,,,,,,,,,,,,,,,,,\n100,Catboost,catboost/catboost,,ml-frameworks,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000000,2021-07-01 12:35:06.000000,2021-07-01 12:35:02.000000,897,313.0,1207.0,5922.0,16799.0,\"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..\",813.0,30,True,2021-06-03 23:41:35.000000,0.26,94.0,catboost,conda-forge/catboost,,,,162.0,,https://pypi.org/project/catboost,2021-06-03 22:58:51.000000,162.0,2033596.0,2054168.0,https://anaconda.org/conda-forge/catboost,2021-06-04 00:28:01.925000,733221.0,,,,,2.0,58751.0,,,,,,,,,,,,,,,,,,,,,\n101,sentence-transformers,UKPLab/sentence-transformers,,nlp,https://github.com/UKPLab/sentence-transformers,https://github.com/UKPLab/sentence-transformers,Apache-2.0,2019-07-24 10:53:51.000000,2021-07-01 11:57:03.000000,2021-07-01 11:57:03.000000,1043,459.0,489.0,5445.0,940.0,Multilingual Sentence & Image Embeddings with BERT.,57.0,30,True,2021-06-24 16:16:11.000000,2.0.0,39.0,sentence-transformers,,,,['pytorch'],1215.0,1215.0,https://pypi.org/project/sentence-transformers,2021-06-24 15:02:44.000000,0.0,500829.0,500829.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n102,PyCaret,pycaret/pycaret,,ml-experiments,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000000,2021-07-01 12:06:27.000000,2021-06-30 11:53:31.000000,818,156.0,788.0,3680.0,1813.0,\"An open-source, low-code machine learning library in Python.\",55.0,30,True,2021-04-28 12:36:06.000000,2.3.1,70.0,pycaret,,,,,1067.0,1067.0,https://pypi.org/project/pycaret,2021-04-28 12:36:06.000000,0.0,78024.0,78058.0,,,,,,,,2.0,413.0,,,,,,,,,,,,,,,,,,,,,\n103,Tesseract,madmaze/pytesseract,,ocr,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000000,2021-06-28 23:00:22.000000,2021-06-14 20:13:51.000000,536,12.0,256.0,3664.0,399.0,Python-tesseract is an optical character recognition (OCR) tool for python.,38.0,30,True,2021-06-28 23:00:22.000000,0.3.8,25.0,pytesseract,conda-forge/pytesseract,,,,1428.0,,https://pypi.org/project/pytesseract,2021-06-28 23:00:22.000000,1428.0,700214.0,719455.0,https://anaconda.org/conda-forge/pytesseract,2021-06-05 17:42:22.118000,461791.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n104,MLxtend,rasbt/mlxtend,,sklearn-utils,https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16.000000,2021-06-22 07:37:08.000000,2021-06-13 17:49:02.000000,705,95.0,289.0,3547.0,1221.0,A library of extension and helper modules for Python's data analysis and machine learning libraries.,84.0,30,True,2020-11-26 04:18:15.000000,0.18.0,46.0,mlxtend,conda-forge/mlxtend,,,['sklearn'],3740.0,3550.0,https://pypi.org/project/mlxtend,2020-11-26 04:18:15.000000,190.0,631470.0,635071.0,https://anaconda.org/conda-forge/mlxtend,2020-11-26 05:32:00.667000,172867.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n105,tensorflow-probability,tensorflow/probability,,probabilistics,https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000000,2021-07-01 02:22:33.000000,2021-07-01 02:22:29.000000,905,480.0,588.0,3370.0,,Probabilistic reasoning and statistical analysis in TensorFlow.,416.0,30,True,2021-06-18 21:06:22.000000,0.13.0,38.0,tensorflow-probability,conda-forge/tensorflow-probability,,,['tensorflow'],5555.0,5303.0,https://pypi.org/project/tensorflow-probability,2021-06-18 17:30:03.000000,252.0,1443998.0,1445330.0,https://anaconda.org/conda-forge/tensorflow-probability,2021-06-21 12:46:28.642000,38647.0,,,,,1.0,,,,,,,,-2.0,,,,,,,,,,,,,,\n106,dbt,fishtown-analytics/dbt,,data-pipelines,https://github.com/dbt-labs/dbt,https://github.com/dbt-labs/dbt,Apache-2.0,2016-03-10 02:38:00.000000,2021-07-01 14:53:29.000000,2021-07-01 14:53:28.000000,605,352.0,1642.0,3142.0,2481.0,dbt (data build tool) enables data analysts and engineers to transform their data using the same practices that..,160.0,30,True,2021-06-28 20:37:03.000000,0.19.2,156.0,dbt,conda-forge/dbt,,,,322.0,304.0,https://pypi.org/project/dbt,2021-06-30 16:37:21.000000,18.0,346718.0,349778.0,https://anaconda.org/conda-forge/dbt,2021-05-04 13:04:32.097000,171363.0,,,,,2.0,,,,,,,,,,dbt,,,dbt-labs/dbt,,,,,,,,,\n107,torchtext,pytorch/text,,nlp,https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000000,2021-07-01 11:37:17.000000,2021-06-30 02:18:42.000000,648,316.0,324.0,2798.0,835.0,Data loaders and abstractions for text and NLP.,109.0,30,True,2021-06-15 16:03:12.000000,0.10.0,15.0,torchtext,,,,['pytorch'],5659.0,4977.0,https://pypi.org/project/torchtext,2021-06-15 15:32:07.000000,682.0,162497.0,162497.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n108,PyQtGraph,pyqtgraph/pyqtgraph,,data-viz,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21.000000,2021-07-01 07:19:33.000000,2021-06-27 00:51:34.000000,825,279.0,583.0,2466.0,2845.0,Fast data visualization and GUI tools for scientific / engineering applications.,200.0,30,True,2021-04-07 01:54:38.000000,pyqtgraph-0.12.1,14.0,pyqtgraph,conda-forge/pyqtgraph,,,,890.0,,https://pypi.org/project/pyqtgraph,2021-04-07 02:34:28.000000,890.0,75239.0,78641.0,https://anaconda.org/conda-forge/pyqtgraph,2021-04-07 05:35:51.854000,183760.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n109,AzureML SDK,Azure/MachineLearningNotebooks,,ml-experiments,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000000,2021-06-25 16:58:05.000000,2021-06-25 16:58:05.000000,1759,160.0,958.0,2361.0,1136.0,Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft.,56.0,30,True,2021-06-07 15:50:01.000000,1.30.0,77.0,azureml-sdk,,,,,60.0,,https://pypi.org/project/azureml-sdk,2021-06-21 16:39:13.000000,60.0,627410.0,627422.0,,,,,,,,2.0,423.0,,,,,,,,,,,,,,,,,,,,,\n110,scikit-optimize,scikit-optimize/scikit-optimize,,hyperopt,https://github.com/scikit-optimize/scikit-optimize,https://github.com/scikit-optimize/scikit-optimize,BSD-3-Clause,2016-03-20 21:10:54.000000,2021-06-22 12:20:42.000000,2021-06-22 12:20:42.000000,396,205.0,372.0,2126.0,1562.0,Sequential model-based optimization with a `scipy.optimize` interface.,74.0,30,True,2020-09-04 09:08:10.000000,0.8.1,22.0,scikit-optimize,conda-forge/scikit-optimize,,,,1914.0,1754.0,https://pypi.org/project/scikit-optimize,2020-09-04 09:08:10.000000,160.0,906320.0,913201.0,https://anaconda.org/conda-forge/scikit-optimize,2020-09-04 09:50:52.372000,330309.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n111,xarray,pydata/xarray,,data-containers,https://github.com/pydata/xarray,https://github.com/pydata/xarray,Apache-2.0,2013-09-30 17:21:10.000000,2021-07-01 05:44:33.000000,2021-07-01 04:47:12.000000,677,832.0,2089.0,2108.0,,N-D labeled arrays and datasets in Python.,322.0,30,True,2021-05-19 21:37:33.000000,0.18.2,59.0,xarray,conda-forge/xarray,,,,7842.0,6710.0,https://pypi.org/project/xarray,2021-05-19 21:37:33.000000,1132.0,835887.0,887362.0,https://anaconda.org/conda-forge/xarray,2021-05-20 01:43:54.980000,3294410.0,,,,,2.0,,,,,,,,-3.0,,,,,,,,,,,,,,\n112,numexpr,pydata/numexpr,,data-containers,https://github.com/pydata/numexpr,https://github.com/pydata/numexpr,MIT,2013-11-30 22:33:48.000000,2021-03-05 20:56:41.232000,2021-03-03 18:33:11.000000,166,54.0,251.0,1600.0,686.0,\"Fast numerical array expression evaluator for Python, NumPy, PyTables, pandas, bcolz and more.\",57.0,30,True,2021-03-03 18:13:19.000000,2.7.3,40.0,numexpr,conda-forge/numexpr,,,,5482.0,,https://pypi.org/project/numexpr,2021-03-03 18:13:19.000000,5482.0,1341507.0,1387089.0,https://anaconda.org/conda-forge/numexpr,2021-03-05 20:56:41.232000,2689346.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n113,Geocoder,DenisCarriere/geocoder,,geospatial-data,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21.000000,2020-12-30 04:09:42.000000,2018-10-12 15:53:05.000000,260,90.0,217.0,1371.0,1251.0,Python Geocoder.,74.0,30,False,2018-04-04 12:34:51.000000,1.38.1,108.0,geocoder,conda-forge/geocoder,,,,4381.0,3537.0,https://pypi.org/project/geocoder,2018-04-04 12:34:51.000000,844.0,1530718.0,1532415.0,https://anaconda.org/conda-forge/geocoder,2019-06-27 16:40:50.469000,89984.0,,,,,2.0,,,,,,,,,,,,,,geocoder,,,,,,,,\n114,Wand,emcconville/wand,,image,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000000,2021-06-14 21:35:11.000000,2021-06-14 21:21:50.000000,186,19.0,332.0,1094.0,1709.0,The ctypes-based simple ImageMagick binding for Python.,95.0,30,True,2021-02-28 13:13:25.000000,0.6.6,48.0,wand,,,,,6393.0,5223.0,https://pypi.org/project/wand,2021-02-28 12:46:37.000000,1170.0,420644.0,420806.0,,,,,,,,2.0,5215.0,,,,,,,,,,,,,,,,,,,,,\n115,Bottleneck,pydata/bottleneck,,data-containers,https://github.com/pydata/bottleneck,https://github.com/pydata/bottleneck,BSD-2-Clause,2010-11-27 23:21:22.000000,2021-06-02 16:55:46.000000,2021-01-24 18:39:03.000000,73,33.0,177.0,620.0,1241.0,Fast NumPy array functions written in C.,21.0,30,True,2020-02-21 06:22:16.000000,1.3.2,21.0,Bottleneck,conda-forge/bottleneck,,,,26196.0,23304.0,https://pypi.org/project/Bottleneck,2020-02-21 06:22:16.000000,2892.0,625939.0,651705.0,https://anaconda.org/conda-forge/bottleneck,2021-01-21 02:48:32.623000,1597516.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n116,snowballstemmer,snowballstem/snowball,,nlp,https://github.com/snowballstem/snowball,https://github.com/snowballstem/snowball,BSD-3-Clause,2013-02-23 07:17:42.000000,2021-05-31 05:45:18.000000,2021-05-31 05:42:16.000000,140,19.0,43.0,502.0,853.0,Snowball compiler and stemming algorithms.,26.0,30,True,2021-01-21 11:43:00.000000,2.1.0,9.0,snowballstemmer,conda-forge/snowballstemmer,,,,65124.0,51942.0,https://pypi.org/project/snowballstemmer,2021-01-21 11:43:00.000000,13182.0,5555346.0,5601359.0,https://anaconda.org/conda-forge/snowballstemmer,2021-01-21 23:16:54.597000,2714781.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n117,detectron2,facebookresearch/detectron2,,image,https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000000,2021-06-30 21:36:16.000000,2021-06-30 21:36:10.000000,4417,112.0,2409.0,17066.0,1178.0,\"Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.\",165.0,29,True,2021-03-13 01:36:49.000000,0.4,8.0,,conda-forge/detectron2,,,['pytorch'],262.0,262.0,,,,,1685.0,https://anaconda.org/conda-forge/detectron2,2021-06-14 12:33:25.167000,23592.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n118,zipline,quantopian/zipline,,financial-data,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29.000000,2021-04-18 22:05:29.000000,2020-10-14 16:36:49.000000,4056,342.0,651.0,14122.0,6226.0,\"Zipline, a Pythonic Algorithmic Trading Library.\",152.0,29,True,2020-10-05 15:46:20.429000,1.4.1,30.0,zipline,,,,,898.0,740.0,https://pypi.org/project/zipline,2020-10-05 15:46:20.429000,158.0,5898.0,5898.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n119,Faiss,facebookresearch/faiss,,nn-search,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000000,2021-07-01 08:04:07.000000,2021-06-23 14:06:20.000000,2211,146.0,1386.0,13940.0,554.0,A library for efficient similarity search and clustering of dense vectors.,86.0,29,True,2021-06-09 09:16:17.000000,1.1.2,50.0,pymilvus,conda-forge/faiss,,,,421.0,415.0,https://pypi.org/project/pymilvus,2021-06-28 10:17:14.000000,6.0,18224.0,27353.0,https://anaconda.org/conda-forge/faiss,2021-04-19 13:07:02.042000,127817.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n120,Prophet,facebook/prophet,,time-series-data,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000000,2021-06-01 09:55:36.000000,2021-05-11 23:44:25.000000,3711,98.0,1536.0,12958.0,667.0,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,132.0,29,True,2021-04-02 23:45:16.000000,1.0,14.0,fbprophet,,,,,150.0,,https://pypi.org/project/fbprophet,2020-09-05 16:12:50.000000,150.0,960119.0,960130.0,,,,,,,,1.0,606.0,,,,,,,,,,,,,,,,,,,,,\n121,EasyOCR,JaidedAI/EasyOCR,,ocr,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000000,2021-06-29 09:44:35.000000,2021-06-29 09:43:06.000000,1388,124.0,223.0,11861.0,421.0,\"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..\",80.0,29,True,2021-06-29 09:44:35.000000,1.4,23.0,easyocr,,,,,326.0,326.0,https://pypi.org/project/easyocr,2021-05-30 08:55:54.000000,0.0,46335.0,73423.0,,,,,,,,1.0,352145.0,,,,,,,,,,,,,,,,,,,,,\n122,PyTorch Geometric,rusty1s/pytorch_geometric,,graph,https://github.com/rusty1s/pytorch_geometric,https://github.com/rusty1s/pytorch_geometric,MIT,2017-10-06 16:03:03.000000,2021-07-01 14:01:19.000000,2021-07-01 14:01:19.000000,1955,781.0,1272.0,11406.0,4825.0,Geometric Deep Learning Extension Library for PyTorch.,179.0,29,True,2021-06-26 08:51:08.000000,1.7.2,28.0,torch-geometric,,,,['pytorch'],24.0,,https://pypi.org/project/torch-geometric,2021-06-26 08:51:08.000000,24.0,44213.0,44213.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n123,horovod,horovod/horovod,,distributed-ml,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000000,2021-06-28 22:29:35.000000,2021-06-28 22:29:35.000000,1863,248.0,1577.0,11373.0,983.0,\"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.\",124.0,29,True,2021-06-10 15:58:27.000000,0.22.1,66.0,horovod,,,,,429.0,389.0,https://pypi.org/project/horovod,2021-06-10 15:58:27.000000,40.0,45673.0,45673.0,,,,,,,,2.0,,stable/horovod,,,,,,,,,,,,,,,,,,,,\n124,PyTorch Image Models,rwightman/pytorch-image-models,,image,https://github.com/rwightman/pytorch-image-models,https://github.com/rwightman/pytorch-image-models,Apache-2.0,2019-02-02 05:51:12.000000,2021-06-30 21:07:24.000000,2021-06-30 16:25:58.000000,1685,38.0,308.0,11293.0,993.0,\"PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision..\",49.0,29,True,2021-06-30 16:35:55.000000,0.4.12,25.0,,,,,['pytorch'],733.0,733.0,,,,,17318.0,,,,,,,,2.0,450282.0,,,,,,,,,,,,,,,,,,,,,\n125,TFlearn,tflearn/tflearn,,ml-frameworks,https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,MIT,2016-03-31 12:05:53.000000,2021-01-25 09:41:59.000000,2020-11-30 04:34:51.000000,2429,563.0,362.0,9554.0,613.0,Deep learning library featuring a higher-level API for TensorFlow.,128.0,29,True,2020-11-11 19:26:11.000000,0.5.0,8.0,tflearn,,,,['tensorflow'],4340.0,3378.0,https://pypi.org/project/tflearn,2020-11-11 19:13:47.000000,962.0,27202.0,27202.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n126,Dopamine,google/dopamine,,reinforcement-learning,https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36.000000,2021-06-29 21:40:57.000000,2021-06-29 21:35:04.000000,1265,77.0,79.0,9450.0,241.0,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,14.0,29,True,2021-06-29 21:40:57.000000,3.2.1,39.0,dopamine-rl,,,,['tensorflow'],62.0,,https://pypi.org/project/dopamine-rl,2021-06-29 21:40:57.000000,62.0,1237791.0,1237791.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n127,Lime,marcotcr/lime,,interpretability,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10.000000,2021-06-09 19:11:03.000000,2021-06-09 19:11:03.000000,1402,63.0,508.0,8903.0,526.0,Lime: Explaining the predictions of any machine learning classifier.,60.0,29,True,2020-04-03 22:05:03.000000,0.2.0.0,38.0,lime,conda-forge/lime,,,,1486.0,1358.0,https://pypi.org/project/lime,2020-06-26 21:38:15.000000,128.0,308508.0,309877.0,https://anaconda.org/conda-forge/lime,2020-06-28 01:02:41.538000,75347.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n128,Sonnet,deepmind/sonnet,,ml-frameworks,https://github.com/deepmind/sonnet,https://github.com/deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35.000000,2021-06-18 19:02:40.000000,2021-06-18 19:02:30.000000,1271,19.0,140.0,8887.0,545.0,TensorFlow-based neural network library.,52.0,29,True,2020-03-27 10:36:19.000000,2.0.0,27.0,dm-sonnet,conda-forge/sonnet,,,['tensorflow'],693.0,611.0,https://pypi.org/project/dm-sonnet,2020-03-27 10:36:10.000000,82.0,211848.0,212351.0,https://anaconda.org/conda-forge/sonnet,2020-11-14 18:13:23.843000,10064.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n129,AutoKeras,keras-team/autokeras,,hyperopt,https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20.000000,2021-06-30 04:23:13.000000,2021-06-30 04:19:22.000000,1295,64.0,694.0,8029.0,1262.0,AutoML library for deep learning.,129.0,29,True,2021-06-17 22:35:58.000000,1.0.15,49.0,autokeras,,,,['tensorflow'],213.0,199.0,https://pypi.org/project/autokeras,2021-06-17 22:35:58.000000,14.0,22149.0,22154.0,,,,,,,,1.0,247.0,,,,,,,,,,,,,,,,,,,,,\n130,Modin,modin-project/modin,,data-containers,https://github.com/modin-project/modin,https://github.com/modin-project/modin,Apache-2.0,2018-06-21 21:35:05.000000,2021-07-01 14:26:11.000000,2021-06-30 15:33:08.000000,438,579.0,1282.0,6176.0,1422.0,Modin: Speed up your Pandas workflows by changing a single line of code.,76.0,29,True,2021-06-10 01:22:43.000000,0.10.0,38.0,modin,,,,['pandas'],416.0,398.0,https://pypi.org/project/modin,2021-06-10 01:22:43.000000,18.0,146152.0,151584.0,,,,,,,,2.0,195576.0,,,,,,,,,,,,,,,,,,,,,\n131,tensorpack,tensorpack/tensorpack,,ml-frameworks,https://github.com/tensorpack/tensorpack,https://github.com/tensorpack/tensorpack,Apache-2.0,2015-12-25 23:08:44.000000,2021-06-16 07:40:50.000000,2021-06-16 07:40:50.000000,1791,10.0,1319.0,6041.0,2934.0,\"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.\",56.0,29,True,2020-04-24 19:01:06.000000,0.10.1,37.0,tensorpack,,,,['tensorflow'],885.0,809.0,https://pypi.org/project/tensorpack,2021-01-22 08:44:03.000000,76.0,18029.0,18031.0,,,,,,,,2.0,122.0,,,,,,,,,,,,,,,,,,,,,\n132,PyMC3,pymc-devs/pymc3,,probabilistics,https://github.com/pymc-devs/pymc3,https://github.com/pymc-devs/pymc3,Apache-2.0,2009-05-05 09:43:50.000000,2021-07-01 15:03:52.000000,2021-07-01 10:42:52.000000,1371,193.0,2097.0,5869.0,,Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara.,319.0,29,True,2021-03-14 22:31:10.000000,3.11.2,33.0,pymc3,conda-forge/pymc3,,,,2971.0,2685.0,https://pypi.org/project/pymc3,2021-03-14 22:31:10.000000,286.0,426894.0,432051.0,https://anaconda.org/conda-forge/pymc3,2021-06-21 12:14:19.509000,293919.0,,,,,1.0,161.0,,,,,,,-3.0,,,,,,,,,,,,,,\n133,SpeechRecognition,Uberi/speech_recognition,,audio,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54.000000,2021-02-28 19:52:57.000000,2019-07-02 17:29:47.000000,1937,226.0,274.0,5703.0,360.0,\"Speech recognition module for Python, supporting several engines and APIs, online and offline.\",41.0,29,False,2017-12-05 14:05:14.000000,3.8.1,52.0,SpeechRecognition,conda-forge/speechrecognition,,,,10169.0,9081.0,https://pypi.org/project/SpeechRecognition,2017-12-05 13:58:29.000000,1088.0,189354.0,191346.0,https://anaconda.org/conda-forge/speechrecognition,2021-01-11 17:26:33.040000,117556.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n134,faust,robinhood/faust,,data-pipelines,https://github.com/robinhood/faust,https://github.com/robinhood/faust,BSD-3-Clause,2017-03-08 18:36:11.000000,2021-06-24 17:38:27.000000,2020-10-09 12:59:42.000000,469,236.0,228.0,5626.0,4137.0,Python Stream Processing.,91.0,29,True,2020-02-25 22:57:18.000000,1.10.4,46.0,faust,,,,,815.0,787.0,https://pypi.org/project/faust,2020-02-25 22:57:18.000000,28.0,1197058.0,1197058.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n135,Autograd,HIPS/autograd,,others,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23.000000,2021-04-22 18:19:00.000000,2021-03-03 09:27:58.000000,754,164.0,218.0,5303.0,1376.0,Efficiently computes derivatives of numpy code.,51.0,29,True,2017-08-24 17:00:41.000000,1.1.13,24.0,autograd,conda-forge/autograd,,,,2468.0,2124.0,https://pypi.org/project/autograd,2019-07-25 16:21:07.000000,344.0,1043004.0,1045996.0,https://anaconda.org/conda-forge/autograd,2019-07-25 18:29:55.493000,176532.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n136,yfinance,ranaroussi/yfinance,,financial-data,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000000,2021-06-28 09:30:57.000000,2021-06-05 22:24:49.000000,1278,320.0,252.0,5228.0,,Yahoo! Finance market data downloader (+faster Pandas Datareader).,38.0,29,True,2021-03-25 00:43:03.000000,0.1.59,24.0,yfinance,ranaroussi/yfinance,,,,5403.0,5377.0,https://pypi.org/project/yfinance,2021-03-25 00:43:03.000000,26.0,260985.0,263165.0,https://anaconda.org/ranaroussi/yfinance,2019-12-27 21:30:44.606000,50144.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n137,Bayesian Optimization,fmfn/BayesianOptimization,,hyperopt,https://github.com/fmfn/BayesianOptimization,https://github.com/fmfn/BayesianOptimization,MIT,2014-06-06 08:18:56.000000,2021-05-01 01:55:39.000000,2020-12-19 01:11:23.000000,1127,42.0,168.0,5199.0,199.0,A Python implementation of global optimization with gaussian processes.,27.0,29,True,2020-05-16 16:03:51.000000,1.2.0,8.0,bayesian-optimization,,,,,878.0,786.0,https://pypi.org/project/bayesian-optimization,2020-05-16 15:56:09.000000,92.0,116343.0,116344.0,,,,,,,,1.0,54.0,,,,,,,,,,,,,,,,,,,,,\n138,Datasette,simonw/datasette,,others,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000000,2021-06-28 13:13:08.000000,2021-06-27 00:02:42.000000,321,280.0,819.0,5198.0,1683.0,An open source multi-tool for exploring and publishing data.,55.0,29,True,2021-06-08 16:35:13.000000,0.57.1,99.0,datasette,,,,,506.0,436.0,https://pypi.org/project/datasette,2021-06-24 16:36:02.000000,70.0,101014.0,101014.0,,,,,,,,1.0,31.0,,,,,,,2.0,,datasette,,,,,,,,,,,,\n139,GluonCV,dmlc/gluon-cv,,image,https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21.000000,2021-07-01 09:01:07.000000,2021-06-14 15:04:38.000000,1097,66.0,709.0,4800.0,872.0,Gluon CV Toolkit.,114.0,29,True,2021-06-15 21:17:32.000000,0.10.3,1139.0,gluoncv,,,,['mxnet'],559.0,529.0,https://pypi.org/project/gluoncv,2021-07-01 09:01:07.000000,30.0,284562.0,284562.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n140,Tokenizers,huggingface/tokenizers,,nlp,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000000,2021-06-20 08:09:10.000000,2021-05-24 21:31:01.000000,361,117.0,343.0,4663.0,1463.0,Fast State-of-the-Art Tokenizers optimized for Research and Production.,40.0,29,True,2021-05-24 21:47:49.000000,0.10.3,62.0,tokenizers,conda-forge/tokenizers,,,,35.0,35.0,https://pypi.org/project/tokenizers,2021-05-24 21:47:49.000000,0.0,3290946.0,3296177.0,https://anaconda.org/conda-forge/tokenizers,2021-03-10 20:31:28.913000,62781.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n141,TinyDB,msiemens/tinydb,,data-containers,https://github.com/msiemens/tinydb,https://github.com/msiemens/tinydb,MIT,2013-07-12 23:31:13.000000,2021-06-28 13:58:16.000000,2021-06-28 13:58:16.000000,389,12.0,254.0,4414.0,628.0,TinyDB is a lightweight document oriented database optimized for your happiness :).,67.0,29,True,2021-06-26 16:41:50.000000,4.5.0,60.0,tinydb,conda-forge/tinydb,,,,1118.0,,https://pypi.org/project/tinydb,2021-06-26 16:41:47.000000,1118.0,255795.0,257847.0,https://anaconda.org/conda-forge/tinydb,2021-02-11 21:20:33.462000,125204.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n142,Kornia,kornia/kornia,,image,https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000000,2021-06-30 19:10:26.000000,2021-06-30 19:08:11.000000,410,101.0,325.0,4200.0,1667.0,Open Source Differentiable Computer Vision Library for PyTorch.,110.0,29,True,2021-06-27 21:08:30.000000,0.5.5,18.0,kornia,,,,['pytorch'],472.0,472.0,https://pypi.org/project/kornia,2021-06-27 21:08:30.000000,0.0,179808.0,179809.0,,,,,,,,2.0,45.0,,,,,,,,,,,,,,,,,,,,,\n143,kaggle,Kaggle/kaggle-api,,ml-experiments,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000000,2021-07-01 04:23:38.000000,2021-03-15 15:49:05.000000,806,177.0,126.0,4124.0,145.0,Official Kaggle API.,36.0,29,True,2021-03-13 00:50:03.000000,1.5.12,48.0,kaggle,conda-forge/kaggle,,,,6409.0,5845.0,https://pypi.org/project/kaggle,2021-03-13 00:50:03.000000,564.0,208206.0,210594.0,https://anaconda.org/conda-forge/kaggle,2021-03-16 16:09:03.613000,62108.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n144,Kedro,quantumblacklabs/kedro,,data-pipelines,https://github.com/quantumblacklabs/kedro,https://github.com/quantumblacklabs/kedro,Apache-2.0,2019-04-18 10:29:56.000000,2021-07-01 11:06:56.000000,2021-07-01 10:00:56.000000,465,38.0,458.0,4035.0,1264.0,\"A Python framework for creating reproducible, maintainable and modular data science code.\",113.0,29,True,2021-06-16 09:10:32.000000,0.17.4,28.0,kedro,,,,,514.0,498.0,https://pypi.org/project/kedro,2021-06-16 09:10:32.000000,16.0,238623.0,238623.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n145,Ignite,pytorch/ignite,,ml-frameworks,https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000000,2021-07-01 11:24:24.000000,2021-07-01 11:15:41.000000,464,128.0,743.0,3599.0,1152.0,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,143.0,29,True,2021-06-24 22:53:22.000000,0.4.5,603.0,pytorch-ignite,pytorch/ignite,,,['pytorch'],1013.0,951.0,https://pypi.org/project/pytorch-ignite,2021-07-01 00:10:49.000000,62.0,51271.0,52929.0,https://anaconda.org/pytorch/ignite,2021-06-24 22:54:30.068000,61381.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n146,Dagster,dagster-io/dagster,,data-pipelines,https://github.com/dagster-io/dagster,https://github.com/dagster-io/dagster,Apache-2.0,2018-04-30 16:30:04.000000,2021-07-01 15:04:08.000000,2021-07-01 15:03:58.000000,394,628.0,2393.0,3506.0,7983.0,\"A data orchestrator for machine learning, analytics, and ETL.\",146.0,29,True,2021-06-24 22:02:39.000000,0.11.15,336.0,dagster,conda-forge/dagster,,,,194.0,190.0,https://pypi.org/project/dagster,2021-06-24 21:53:52.000000,4.0,274674.0,289763.0,https://anaconda.org/conda-forge/dagster,2021-06-25 19:36:19.719000,301795.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n147,Dedupe,dedupeio/dedupe,,nlp,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36.000000,2021-06-09 23:50:42.000000,2021-06-09 23:50:33.000000,423,60.0,586.0,3066.0,2823.0,\"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.\",56.0,29,True,2021-02-28 20:52:16.000000,2.0.7,159.0,dedupe,,,,,269.0,191.0,https://pypi.org/project/dedupe,2021-04-17 00:35:34.000000,78.0,95572.0,95572.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n148,ftfy,LuminosoInsight/python-ftfy,,nlp,https://github.com/LuminosoInsight/python-ftfy,https://github.com/LuminosoInsight/python-ftfy,MIT,2012-08-24 16:14:59.000000,2021-05-25 06:35:21.702000,2021-05-17 19:04:10.000000,102,11.0,106.0,2988.0,590.0,\"Fixes mojibake and other glitches in Unicode text, after the fact.\",18.0,29,True,2021-05-24 05:17:15.000000,6.0.3,45.0,ftfy,conda-forge/ftfy,,,,4220.0,3460.0,https://pypi.org/project/ftfy,2021-05-24 05:17:15.000000,760.0,1136140.0,1138318.0,https://anaconda.org/conda-forge/ftfy,2021-05-25 06:35:21.702000,111120.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n149,Koalas,databricks/koalas,,data-containers,https://github.com/databricks/koalas,https://github.com/databricks/koalas,Apache-2.0,2019-01-03 21:46:54.000000,2021-06-18 20:03:35.848000,2021-06-18 16:22:43.000000,317,121.0,449.0,2855.0,1542.0,Koalas: pandas API on Apache Spark.,50.0,29,True,2021-06-18 16:33:05.000000,1.8.1,46.0,koalas,conda-forge/koalas,,,\"['spark', 'pandas']\",102.0,100.0,https://pypi.org/project/koalas,2021-06-18 16:33:05.000000,2.0,3222037.0,3225592.0,https://anaconda.org/conda-forge/koalas,2021-06-18 20:03:35.848000,91527.0,,,,,2.0,996.0,,,,,,,,,,,,,,,,,,,,,\n150,mrjob,Yelp/mrjob,,data-pipelines,https://github.com/Yelp/mrjob,https://github.com/Yelp/mrjob,Apache-2.0,2010-10-13 18:35:21.000000,2021-03-31 18:37:58.000000,2020-11-16 22:20:52.000000,590,202.0,1091.0,2550.0,8622.0,Run MapReduce jobs on Hadoop or Amazon Web Services.,142.0,29,True,2020-09-17 22:26:01.000000,0.7.4,60.0,mrjob,conda-forge/mrjob,,,,884.0,772.0,https://pypi.org/project/mrjob,2020-09-17 22:26:01.000000,112.0,113086.0,119459.0,https://anaconda.org/conda-forge/mrjob,2020-12-24 22:44:29.424000,369662.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n151,NMSLIB,nmslib/nmslib,,nn-search,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06.000000,2021-06-17 14:13:28.000000,2021-06-01 18:52:34.000000,351,47.0,329.0,2450.0,1505.0,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,44.0,29,True,2021-02-03 16:40:09.000000,2.1.1,32.0,nmslib,conda-forge/nmslib,,,,462.0,410.0,https://pypi.org/project/nmslib,2021-02-03 00:02:08.000000,52.0,83255.0,85468.0,https://anaconda.org/conda-forge/nmslib,2021-01-08 16:19:07.762000,33199.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n152,GPyTorch,cornellius-gp/gpytorch,,probabilistics,https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000000,2021-06-25 13:21:31.000000,2021-06-24 14:49:52.000000,356,215.0,721.0,2437.0,3453.0,A highly efficient and modular implementation of Gaussian Processes in PyTorch.,84.0,29,True,2021-06-24 16:29:38.000000,1.5.0,29.0,gpytorch,,,,['pytorch'],340.0,332.0,https://pypi.org/project/gpytorch,2021-06-24 16:29:38.000000,8.0,75847.0,75847.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n153,Keras Tuner,keras-team/keras-tuner,,hyperopt,https://github.com/keras-team/keras-tuner,https://github.com/keras-team/keras-tuner,Apache-2.0,2019-06-06 22:38:21.000000,2021-06-25 17:21:23.000000,2021-06-25 17:21:23.000000,290,174.0,164.0,2337.0,826.0,Hyperparameter tuning for humans.,35.0,29,True,2021-06-17 21:45:06.000000,1.0.3,6.0,keras-tuner,,,,['tensorflow'],684.0,680.0,https://pypi.org/project/keras-tuner,2021-06-17 21:45:06.000000,4.0,604184.0,604184.0,,,,,,,,1.0,,,,,,,,2.0,,,,,,,,,,,,,,\n154,hmmlearn,hmmlearn/hmmlearn,,probabilistics,https://github.com/hmmlearn/hmmlearn,https://github.com/hmmlearn/hmmlearn,BSD-3-Clause,2014-03-23 10:33:09.000000,2021-05-11 16:31:39.000000,2021-05-11 16:31:39.000000,660,60.0,293.0,2287.0,359.0,\"Hidden Markov Models in Python, with scikit-learn like API.\",33.0,29,True,2021-02-03 14:33:20.000000,0.2.5,7.0,hmmlearn,conda-forge/hmmlearn,,,['sklearn'],1222.0,1016.0,https://pypi.org/project/hmmlearn,2021-02-03 14:32:44.000000,206.0,117512.0,120217.0,https://anaconda.org/conda-forge/hmmlearn,2021-02-04 16:23:17.046000,86561.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n155,HoloViews,holoviz/holoviews,,data-viz,https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000000,2021-06-29 15:52:09.000000,2021-06-22 11:50:07.000000,316,734.0,1865.0,1923.0,10201.0,\"With Holoviews, your data visualizes itself.\",108.0,29,True,2021-05-22 18:09:55.000000,1.14.4,71.0,holoviews,conda-forge/holoviews,,,['jupyter'],170.0,,https://pypi.org/project/holoviews,2021-05-22 18:09:55.000000,170.0,131133.0,144668.0,https://anaconda.org/conda-forge/holoviews,2021-05-23 10:56:39.974000,521370.0,,,,,2.0,,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,2020-05-24 13:49:54.205000,,5126.0,,,,,,,,,,,,,,,\n156,Flax,google/flax,,ml-frameworks,https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000000,2021-07-01 11:42:44.000000,2021-07-01 11:42:38.000000,210,159.0,213.0,1891.0,2062.0,Flax is a neural network library for JAX that is designed for flexibility.,96.0,29,True,2021-05-18 11:27:56.000000,0.3.4,13.0,flax,,,,['jax'],230.0,224.0,https://pypi.org/project/flax,2021-05-18 11:27:56.000000,6.0,262688.0,262689.0,,,,,,,,2.0,23.0,,,,,,,,,,,,,,,,,,,,,\n157,filterpy,rlabbe/filterpy,,probabilistics,https://github.com/rlabbe/filterpy,https://github.com/rlabbe/filterpy,MIT,2014-07-15 02:15:19.000000,2021-06-29 12:54:42.000000,2021-05-04 18:33:52.000000,433,34.0,151.0,1857.0,542.0,\"Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman..\",36.0,29,True,2018-10-10 22:38:24.000000,1.4.5,48.0,filterpy,conda-forge/filterpy,,,,1120.0,908.0,https://pypi.org/project/filterpy,2018-10-10 22:38:24.000000,212.0,563156.0,564458.0,https://anaconda.org/conda-forge/filterpy,2020-05-05 21:13:59.073000,63843.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n158,Lifelines,CamDavidsonPilon/lifelines,,medical-data,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42.000000,2021-06-09 19:49:30.000000,2021-06-09 19:49:30.000000,429,204.0,604.0,1643.0,2125.0,Survival analysis in Python.,96.0,29,True,2021-05-27 00:34:08.000000,0.26.0,157.0,lifelines,conda-forge/lifelines,,,,730.0,604.0,https://pypi.org/project/lifelines,2021-05-27 00:34:08.000000,126.0,258379.0,260885.0,https://anaconda.org/conda-forge/lifelines,2021-05-27 04:55:00.431000,152912.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n159,pyLDAvis,bmabey/pyLDAvis,,interpretability,https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03.000000,2021-06-24 14:14:46.000000,2021-03-24 13:03:31.000000,307,76.0,76.0,1478.0,240.0,Python library for interactive topic model visualization. Port of the R LDAvis package.,32.0,29,True,2021-03-24 13:05:21.000000,3.3.1,24.0,pyldavis,conda-forge/pyldavis,,,['jupyter'],2542.0,2344.0,https://pypi.org/project/pyldavis,2021-03-24 12:57:08.000000,198.0,180944.0,181641.0,https://anaconda.org/conda-forge/pyldavis,2021-03-24 15:17:07.309000,25804.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n160,torchaudio,pytorch/audio,,audio,https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000000,2021-07-01 15:13:09.000000,2021-06-28 18:29:56.000000,325,155.0,349.0,1357.0,913.0,\"Data manipulation and transformation for audio signal processing, powered by PyTorch.\",130.0,29,True,2021-06-15 15:32:33.000000,0.9.0,15.0,torchaudio,,,,['pytorch'],3815.0,3797.0,https://pypi.org/project/torchaudio,2021-06-15 15:29:03.000000,18.0,269818.0,269818.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n161,ipyleaflet,jupyter-widgets/ipyleaflet,,geospatial-data,https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10.000000,2021-06-17 16:32:56.948000,2021-06-17 15:55:14.000000,300,165.0,264.0,1140.0,943.0,A Jupyter - Leaflet.js bridge.,67.0,29,True,2021-06-17 16:00:18.000000,0.14.0,71.0,ipyleaflet,conda-forge/ipyleaflet,,,['jupyter'],998.0,898.0,https://pypi.org/project/ipyleaflet,2021-06-17 16:00:18.000000,98.0,44475.0,80428.0,https://anaconda.org/conda-forge/ipyleaflet,2021-06-17 16:32:56.948000,703540.0,,,,,3.0,,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2021-06-17 15:58:50.351000,2.0,24606.0,,,,,,,,,,,,,,,\n162,Graphviz,xflr6/graphviz,,data-viz,https://github.com/xflr6/graphviz,https://github.com/xflr6/graphviz,MIT,2014-01-12 17:49:29.000000,2021-06-10 20:37:39.000000,2021-05-15 13:01:47.000000,148,9.0,103.0,1017.0,471.0,Simple Python interface for Graphviz.,15.0,29,True,2020-10-07 09:06:41.000000,0.14.2,47.0,graphviz,,,,,25993.0,21611.0,https://pypi.org/project/graphviz,2020-12-24 16:17:24.000000,4382.0,5396602.0,5396602.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n163,snakemake,snakemake/snakemake,,ml-experiments,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867000,2021-06-30 13:56:35.000000,2021-06-29 14:08:22.000000,225,409.0,254.0,1014.0,4056.0,\"This is the development home of the workflow management system Snakemake. For general information, see.\",204.0,29,True,2021-06-24 19:52:16.000000,6.5.1,177.0,snakemake,bioconda/snakemake,,,,1133.0,845.0,https://pypi.org/project/snakemake,2021-06-24 19:52:55.000000,288.0,18124.0,22586.0,https://anaconda.org/bioconda/snakemake,2021-06-24 20:41:13.560000,307909.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n164,TensorFlow Transform,tensorflow/transform,,tensorflow-utils,https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53.000000,2021-06-28 15:02:30.000000,2021-06-28 15:02:25.000000,172,21.0,144.0,876.0,668.0,Input pipeline framework.,27.0,29,True,2021-06-24 21:10:56.000000,1.1.0,39.0,tensorflow-transform,,,,['tensorflow'],574.0,490.0,https://pypi.org/project/tensorflow-transform,2021-06-24 21:10:56.000000,84.0,7050945.0,7050945.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n165,patsy,pydata/patsy,,probabilistics,https://github.com/pydata/patsy,https://github.com/pydata/patsy,BSD-2-Clause,2012-07-10 12:30:06.000000,2021-05-04 21:33:59.000000,2018-10-31 21:55:48.000000,85,78.0,53.0,760.0,517.0,Describing statistical models in Python using symbolic formulas.,13.0,29,False,2018-10-28 05:07:55.000000,0.5.1,8.0,patsy,conda-forge/patsy,,,,41703.0,36779.0,https://pypi.org/project/patsy,2018-10-28 03:59:51.000000,4924.0,3775055.0,3829062.0,https://anaconda.org/conda-forge/patsy,2018-10-28 05:21:35.412000,3186440.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n166,NiBabel,nipy/nibabel,,medical-data,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30.000000,2021-06-25 19:40:13.000000,2021-06-25 19:40:13.000000,214,112.0,301.0,421.0,5037.0,Python package to access a cacophony of neuro-imaging file formats.,92.0,29,True,2020-11-28 22:19:50.000000,3.2.1,32.0,nibabel,conda-forge/nibabel,,,,6006.0,4742.0,https://pypi.org/project/nibabel,2020-11-28 22:18:23.000000,1264.0,137237.0,142912.0,https://anaconda.org/conda-forge/nibabel,2020-11-29 03:40:05.178000,351868.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n167,Activeloop,activeloopai/Hub,,data-pipelines,https://github.com/activeloopai/Hub,https://github.com/activeloopai/Hub,MPL-2.0,2019-08-09 06:17:59.000000,2021-07-01 14:17:35.000000,2021-06-29 17:28:33.000000,2209,32.0,242.0,21015.0,2201.0,Fastest dataset optimization and management for machine and deep learning. Stream data real-time & version-control it...,78.0,28,True,2021-05-29 14:38:13.000000,1.3.7,98.0,hub,hub,,,,178.0,126.0,https://pypi.org/project/hub,2021-06-23 01:02:19.000000,52.0,2827.0,2827.0,https://anaconda.org/anaconda/hub,2020-04-22 15:16:29.000000,,,,,,2.0,,,,,,,,,0.0,,,,,,True,,,,,,,\n168,Rasa,RasaHQ/rasa,,nlp,https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49.000000,2021-07-01 14:09:52.000000,2021-07-01 14:01:22.000000,3525,669.0,4898.0,11625.0,,\"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..\",493.0,28,True,2021-06-18 18:19:18.000000,1.10.26,207.0,rasa,,,,['tensorflow'],64.0,,https://pypi.org/project/rasa,2021-06-16 20:58:46.000000,64.0,181419.0,181419.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n169,NNI,microsoft/nni,,hyperopt,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44.000000,2021-07-01 07:33:54.000000,2021-06-30 08:22:10.000000,1343,170.0,1121.0,9852.0,2165.0,\"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..\",138.0,28,True,2021-06-15 13:19:08.000000,2.3,42.0,nni,,,,,140.0,124.0,https://pypi.org/project/nni,2021-06-15 13:29:08.000000,16.0,30052.0,30052.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n170,pretrainedmodels,Cadene/pretrained-models.pytorch,,pytorch-utils,https://github.com/Cadene/pretrained-models.pytorch,https://github.com/Cadene/pretrained-models.pytorch,BSD-3-Clause,2017-04-09 15:54:23.000000,2021-06-21 20:44:46.000000,2020-04-16 08:02:22.000000,1686,90.0,88.0,8038.0,154.0,\"Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.\",22.0,28,False,2018-10-29 08:18:45.000000,0.7.4,16.0,pretrainedmodels,,,,['pytorch'],1195.0,1091.0,https://pypi.org/project/pretrainedmodels,2018-10-29 08:18:45.000000,104.0,51395.0,51395.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n171,dgl,dmlc/dgl,,graph,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000000,2021-07-01 13:37:11.000000,2021-07-01 08:12:50.000000,1607,270.0,837.0,7549.0,1801.0,\"Python package built to ease deep learning on graph, on top of existing DL frameworks.\",141.0,28,True,2021-04-08 03:22:48.000000,0.6.1,438.0,dgl,,,,,30.0,,https://pypi.org/project/dgl,2021-05-27 13:25:52.000000,30.0,77156.0,77156.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n172,Jina,jina-ai/jina,,ml-frameworks,https://github.com/jina-ai/jina,https://github.com/jina-ai/jina,Apache-2.0,2020-02-13 17:04:44.000000,2021-07-01 14:07:11.649365,2021-07-01 13:53:43.000000,1013,61.0,809.0,7062.0,5700.0,Cloud-native neural search framework for kind of data.,105.0,28,True,2021-06-30 07:15:08.000000,2.0.0,853.0,jina,,jinaai/jina,,,101.0,101.0,https://pypi.org/project/jina,2021-07-01 13:55:22.000000,,27450.0,69432.0,,,,https://hub.docker.com/r/jinaai/jina,2021-07-01 14:07:11.649365,3.0,713708.0,3.0,,,,,,,,2.0,,,,,,,,,,,,,,\n173,Pyro,pyro-ppl/pyro,,probabilistics,https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000000,2021-07-01 03:46:36.000000,2021-06-29 17:17:32.000000,853,164.0,712.0,6981.0,2188.0,Deep universal probabilistic programming with Python and PyTorch.,111.0,28,True,2021-03-04 23:01:34.000000,1.6.0,26.0,pyro-ppl,,,,['pytorch'],517.0,481.0,https://pypi.org/project/pyro-ppl,2021-03-04 23:05:10.000000,36.0,50942.0,50942.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n174,auto-sklearn,automl/auto-sklearn,,hyperopt,https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10.000000,2021-07-01 09:17:35.000000,2021-05-14 06:46:51.000000,1006,106.0,635.0,5505.0,2458.0,Automated Machine Learning with scikit-learn.,66.0,28,True,2021-04-20 16:07:35.000000,0.12.6,31.0,auto-sklearn,,,,['sklearn'],206.0,176.0,https://pypi.org/project/auto-sklearn,2021-04-20 16:07:35.000000,30.0,22080.0,22080.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n175,DeepPavlov,deepmipt/DeepPavlov,,nlp,https://github.com/deepmipt/DeepPavlov,https://github.com/deepmipt/DeepPavlov,Apache-2.0,2017-11-17 14:35:29.000000,2021-07-01 13:55:45.000000,2021-05-14 10:17:11.000000,945,121.0,464.0,5270.0,2595.0,An open source library for deep learning end-to-end dialog systems and chatbots.,63.0,28,True,2021-05-14 10:27:41.000000,0.15.0,43.0,deeppavlov,,,,['tensorflow'],214.0,206.0,https://pypi.org/project/deeppavlov,2021-05-14 10:27:41.000000,8.0,9451.0,9451.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n176,OpenNMT,OpenNMT/OpenNMT-py,,nlp,https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000000,2021-06-16 13:17:51.000000,2021-06-16 13:17:51.000000,1869,113.0,1157.0,5092.0,2568.0,Open Source Neural Machine Translation in PyTorch.,170.0,28,True,2021-04-30 16:41:28.000000,2.1.2,31.0,OpenNMT-py,,,,['pytorch'],95.0,91.0,https://pypi.org/project/OpenNMT-py,2021-04-30 16:41:28.000000,4.0,4435.0,4435.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n177,PyOD,yzhao062/pyod,,others,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04.000000,2021-06-13 15:48:58.000000,2021-06-12 01:29:37.000000,923,122.0,90.0,4617.0,1277.0,(JMLR'19) A Python Toolbox for Scalable Outlier Detection (Anomaly Detection).,23.0,28,True,2021-06-12 01:35:20.000000,V0.8.9,67.0,pyod,,,,,722.0,716.0,https://pypi.org/project/pyod,2021-06-12 01:32:45.000000,6.0,202043.0,202043.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n178,librosa,librosa/librosa,,audio,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000000,2021-07-01 13:06:00.000000,2021-07-01 13:06:00.000000,739,48.0,838.0,4584.0,,Python library for audio and music analysis.,90.0,28,True,2021-05-26 10:15:06.000000,0.8.1,31.0,librosa,conda-forge/librosa,,,,1750.0,,https://pypi.org/project/librosa,2021-05-26 10:15:06.000000,1750.0,544126.0,549066.0,https://anaconda.org/conda-forge/librosa,2021-05-26 10:44:27.607000,296443.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n179,DEAP,deap/deap,,distributed-ml,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39.000000,2021-06-06 21:05:04.000000,2021-05-08 10:26:27.000000,898,214.0,227.0,4269.0,2149.0,Distributed Evolutionary Algorithms in Python.,68.0,28,False,2020-01-21 01:18:06.000000,1.3.1,16.0,deap,conda-forge/deap,,,,2430.0,1948.0,https://pypi.org/project/deap,2020-01-21 01:18:06.000000,482.0,134171.0,136416.0,https://anaconda.org/conda-forge/deap,2021-01-13 14:43:13.393000,136964.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n180,imutils,jrosebr1/imutils,,image,https://github.com/jrosebr1/imutils,https://github.com/jrosebr1/imutils,MIT,2015-01-11 20:05:39.000000,2021-06-04 12:14:51.000000,2021-01-15 10:46:45.000000,910,140.0,76.0,3704.0,138.0,\"A series of convenience functions to make basic image processing operations such as translation, rotation, resizing,..\",20.0,28,True,2021-01-15 10:53:17.000000,0.5.4,29.0,imutils,conda-forge/imutils,,,,17354.0,16158.0,https://pypi.org/project/imutils,2021-01-15 10:53:17.000000,1196.0,292854.0,295098.0,https://anaconda.org/conda-forge/imutils,2021-01-15 14:27:25.471000,56111.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n181,huey,coleifer/huey,,data-pipelines,https://github.com/coleifer/huey,https://github.com/coleifer/huey,MIT,2011-11-03 16:39:43.000000,2021-06-23 16:02:47.000000,2021-06-23 16:02:39.000000,306,,457.0,3563.0,914.0,a little task queue for python.,65.0,28,True,2021-04-20 13:47:00.000000,2.3.2,59.0,huey,conda-forge/huey,,,,1033.0,747.0,https://pypi.org/project/huey,2021-04-20 13:46:36.000000,286.0,43534.0,44046.0,https://anaconda.org/conda-forge/huey,2019-10-16 15:34:27.487000,19978.0,,,,,2.0,,,,,,,,,,,,,,,True,,,,,,,\n182,sacred,IDSIA/sacred,,ml-experiments,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29.000000,2021-06-28 09:41:43.000000,2021-06-28 09:41:43.000000,318,92.0,421.0,3507.0,1310.0,\"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.\",93.0,28,True,2020-12-14 15:21:05.000000,0.8.2,27.0,sacred,,,,,1121.0,967.0,https://pypi.org/project/sacred,2020-12-14 15:21:05.000000,154.0,26057.0,26057.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n183,dyNET,clab/dynet,,ml-frameworks,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21.000000,2021-06-08 19:03:01.000000,2021-01-27 15:43:03.000000,703,259.0,661.0,3230.0,3267.0,DyNet: The Dynamic Neural Network Toolkit.,156.0,28,True,2020-10-21 14:31:01.000000,2.1.2,24.0,dyNET,,,,,220.0,182.0,https://pypi.org/project/dyNET,2020-10-21 14:31:01.000000,38.0,18897.0,18954.0,,,,,,,,3.0,3269.0,,,,,,,,,,,,,,,,,,,,,\n184,bqplot,bqplot/bqplot,,data-viz,https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18.000000,2021-06-30 03:26:51.000000,2021-06-28 15:39:49.000000,407,192.0,345.0,3103.0,3393.0,Plotting library for IPython/Jupyter notebooks.,52.0,28,True,2021-06-08 14:43:56.000000,0.12.29,96.0,bqplot,conda-forge/bqplot,,,['jupyter'],148.0,26.0,https://pypi.org/project/bqplot,2021-06-08 14:39:27.000000,112.0,59034.0,85492.0,https://anaconda.org/conda-forge/bqplot,2021-06-08 14:57:52.705000,668517.0,,,,,2.0,,,bqplot,https://www.npmjs.com/package/bqplot,2021-06-08 14:36:47.182000,10.0,15676.0,,,,,,,,,,,,,,,\n185,Blaze,blaze/blaze,,data-containers,https://github.com/blaze/blaze,https://github.com/blaze/blaze,BSD-3-Clause,2012-10-26 14:25:22.000000,2020-02-01 19:33:09.000000,2019-08-15 21:14:59.000000,373,262.0,500.0,2962.0,7496.0,NumPy and Pandas interface to Big Data.,64.0,28,False,2016-07-19 20:40:03.000000,0.11.0,14.0,blaze,conda-forge/blaze,,,,9383.0,7761.0,https://pypi.org/project/blaze,2016-05-06 21:19:21.000000,1622.0,11080.0,15167.0,https://anaconda.org/conda-forge/blaze,2018-07-15 22:16:17.685000,192122.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n186,plotnine,has2k1/plotnine,,data-viz,https://github.com/has2k1/plotnine,https://github.com/has2k1/plotnine,GPL-2.0,2017-04-24 19:00:44.000000,2021-06-29 19:47:35.000000,2021-05-24 08:44:04.000000,143,63.0,373.0,2724.0,1698.0,A grammar of graphics for Python.,85.0,28,False,2021-03-25 12:57:10.000000,0.8.0,11.0,plotnine,conda-forge/plotnine,,,,2358.0,2104.0,https://pypi.org/project/plotnine,2021-03-25 10:49:20.000000,254.0,175310.0,177576.0,https://anaconda.org/conda-forge/plotnine,2021-03-25 12:31:04.423000,113315.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n187,datashader,holoviz/datashader,,data-viz,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000000,2021-06-10 09:04:19.929000,2021-06-05 20:55:59.000000,328,123.0,351.0,2538.0,1295.0,Quickly and accurately render even the largest data.,43.0,28,True,2021-06-09 23:30:20.000000,0.13.0,24.0,datashader,conda-forge/datashader,,,,801.0,731.0,https://pypi.org/project/datashader,2021-06-09 22:59:52.000000,70.0,42673.0,47123.0,https://anaconda.org/conda-forge/datashader,2021-06-10 09:04:19.929000,195814.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n188,sklearn-pandas,scikit-learn-contrib/sklearn-pandas,,data-containers,https://github.com/scikit-learn-contrib/sklearn-pandas,https://github.com/scikit-learn-contrib/sklearn-pandas,Zlib,2013-04-22 22:55:20.000000,2021-05-08 08:31:08.000000,2021-05-08 08:05:59.000000,393,25.0,125.0,2444.0,287.0,Pandas integration with sklearn.,37.0,28,False,2021-05-08 08:32:08.000000,2.1.0,27.0,sklearn-pandas,,,,\"['sklearn', 'pandas']\",2693.0,2471.0,https://pypi.org/project/sklearn-pandas,2021-05-08 08:14:28.000000,222.0,204275.0,204275.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n189,Cufflinks,santosjorge/cufflinks,,data-viz,https://github.com/santosjorge/cufflinks,https://github.com/santosjorge/cufflinks,MIT,2014-11-19 20:59:33.000000,2021-02-25 05:05:09.000000,2021-02-25 05:05:09.000000,535,81.0,122.0,2223.0,452.0,Productivity Tools for Plotly + Pandas.,38.0,28,True,2020-03-01 17:42:01.000000,0.17.3,27.0,cufflinks,,,,['pandas'],3926.0,3692.0,https://pypi.org/project/cufflinks,2020-03-01 17:42:01.000000,234.0,134285.0,134285.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n190,ImageHash,JohannesBuchner/imagehash,,image,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48.000000,2021-03-25 13:32:22.000000,2021-01-03 14:55:15.000000,265,22.0,76.0,2007.0,184.0,A Python Perceptual Image Hashing Module.,17.0,28,True,2021-03-25 13:49:48.000000,4.1.0,17.0,ImageHash,conda-forge/imagehash,,,,3420.0,2888.0,https://pypi.org/project/ImageHash,2020-11-19 14:54:24.000000,532.0,852256.0,854571.0,https://anaconda.org/conda-forge/imagehash,2020-11-19 18:20:49.964000,129689.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n191,TF-Agents,tensorflow/agents,,reinforcement-learning,https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000000,2021-06-28 23:59:14.000000,2021-06-28 23:58:34.000000,524,109.0,365.0,1949.0,1802.0,\"TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.\",97.0,28,True,2021-05-16 23:41:49.000000,0.8.0,22.0,tf-agents,,,,['tensorflow'],509.0,497.0,https://pypi.org/project/tf-agents,2021-05-16 23:41:49.000000,12.0,27436.0,27436.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n192,hdbscan,scikit-learn-contrib/hdbscan,,others,https://github.com/scikit-learn-contrib/hdbscan,https://github.com/scikit-learn-contrib/hdbscan,BSD-3-Clause,2015-04-22 13:32:37.000000,2021-04-07 15:55:02.000000,2021-04-07 15:55:02.000000,339,230.0,147.0,1913.0,884.0,A high performance implementation of HDBSCAN clustering.,69.0,28,True,2021-02-03 20:21:02.000000,0.8.27,43.0,hdbscan,conda-forge/hdbscan,,,['sklearn'],1022.0,898.0,https://pypi.org/project/hdbscan,2021-02-03 20:21:02.000000,124.0,218292.0,230368.0,https://anaconda.org/conda-forge/hdbscan,2021-02-14 03:07:15.749000,724587.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n193,tesserocr,sirfz/tesserocr,,ocr,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36.000000,2021-06-19 22:44:28.000000,2021-06-19 22:44:28.000000,202,60.0,150.0,1473.0,167.0,A Python wrapper for the tesseract-ocr API.,26.0,28,True,2021-06-19 21:10:18.000000,2.5.2,16.0,tesserocr,conda-forge/tesserocr,,,,615.0,515.0,https://pypi.org/project/tesserocr,2021-06-19 21:10:18.000000,100.0,61726.0,64106.0,https://anaconda.org/conda-forge/tesserocr,2021-01-13 16:38:14.456000,49983.0,,,,,2.0,,,,,,,,3.0,,,,,,,,,,,,,,\n194,mleap,combust/mleap,,data-pipelines,https://github.com/combust/mleap,https://github.com/combust/mleap,Apache-2.0,2016-08-23 03:51:03.000000,2021-06-24 16:39:44.000000,2021-06-17 04:47:43.000000,278,86.0,343.0,1264.0,814.0,MLeap: Deploy ML Pipelines to Production.,67.0,28,True,2021-05-07 20:42:11.000000,0.17.0,6.0,mleap,conda-forge/mleap,,,,183.0,151.0,https://pypi.org/project/mleap,2021-05-07 20:42:11.000000,32.0,474492.0,475830.0,https://anaconda.org/conda-forge/mleap,2021-05-10 09:48:39.778000,36133.0,,,,,2.0,,,,,,,,,,,,,,,True,,,,,,,\n195,TF Model Optimization,tensorflow/model-optimization,,tensorflow-utils,https://github.com/tensorflow/model-optimization,https://github.com/tensorflow/model-optimization,Apache-2.0,2018-10-31 20:34:28.000000,2021-07-01 08:56:45.000000,2021-06-28 23:54:52.000000,247,82.0,127.0,1066.0,606.0,\"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.\",54.0,28,True,2021-06-18 06:40:44.000000,0.6.0,23.0,tensorflow-model-optimization,,,,['tensorflow'],947.0,941.0,https://pypi.org/project/tensorflow-model-optimization,2021-06-18 06:24:07.000000,6.0,238066.0,238066.0,,,,,,,,2.0,,,,,,,,2.0,,,,,,,,,,,,,,\n196,PyTables,PyTables/PyTables,,data-containers,https://github.com/PyTables/PyTables,https://github.com/PyTables/PyTables,BSD-3-Clause,2011-06-03 19:44:46.000000,2021-03-26 00:08:03.000000,2021-03-20 09:04:48.000000,204,168.0,451.0,1034.0,3954.0,A Python package to manage extremely large amounts of data.,98.0,28,True,2019-10-30 19:33:37.000000,3.6.1,25.0,tables,conda-forge/pytables,,,,3754.0,,https://pypi.org/project/tables,2019-10-30 19:33:37.000000,3754.0,730895.0,777987.0,https://anaconda.org/conda-forge/pytables,2021-01-14 18:41:06.536000,2778350.0,,,,,2.0,156.0,,,,,,,,,,,,,,,,,,,,,\n197,Keras-Preprocessing,keras-team/keras-preprocessing,,tensorflow-utils,https://github.com/keras-team/keras-preprocessing,https://github.com/keras-team/keras-preprocessing,MIT,2018-05-30 22:43:36.000000,2021-02-04 19:43:30.000000,2021-02-04 19:43:30.000000,420,93.0,100.0,962.0,284.0,\"Utilities for working with image data, text data, and sequence data.\",50.0,28,True,2020-05-14 03:53:47.000000,1.1.2,12.0,keras-preprocessing,conda-forge/keras-preprocessing,,,['tensorflow'],2736.0,,https://pypi.org/project/keras-preprocessing,2020-05-14 03:53:47.000000,2736.0,6088620.0,6115145.0,https://anaconda.org/conda-forge/keras-preprocessing,2021-01-15 12:28:58.923000,981447.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n198,pmdarima,alkaline-ml/pmdarima,,time-series-data,https://github.com/alkaline-ml/pmdarima,https://github.com/alkaline-ml/pmdarima,MIT,2017-03-30 14:58:30.000000,2021-06-16 07:15:10.000000,2021-05-07 13:18:59.000000,170,21.0,222.0,912.0,1030.0,\"A statistical library designed to fill the void in Python's time series analysis capabilities, including the..\",18.0,28,True,2021-04-19 22:17:02.000000,1.8.2,33.0,pmdarima,,,,,1128.0,1116.0,https://pypi.org/project/pmdarima,2021-04-19 22:17:02.000000,12.0,491775.0,491775.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n199,igraph,igraph/python-igraph,,graph,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16.000000,2021-07-01 09:23:19.000000,2021-06-29 09:25:35.000000,196,28.0,295.0,838.0,1750.0,Python interface for igraph.,52.0,28,False,2021-06-12 08:08:59.000000,0.9.6,23.0,python-igraph,conda-forge/igraph,,,,2162.0,1738.0,https://pypi.org/project/python-igraph,2021-06-12 08:23:34.000000,424.0,111164.0,118549.0,https://anaconda.org/conda-forge/igraph,2021-06-16 15:20:14.330000,229703.0,,,,,1.0,172294.0,,,,,,,,,,,,,,,,,,,,,\n200,NIPYPE,nipy/nipype,,medical-data,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000000,2021-06-29 15:48:54.000000,2021-06-16 13:16:05.000000,456,337.0,882.0,573.0,14191.0,Workflows and interfaces for neuroimaging packages.,219.0,28,True,2020-11-28 17:23:30.000000,1.6.0,55.0,nipype,conda-forge/nipype,,,,835.0,643.0,https://pypi.org/project/nipype,2021-06-16 13:18:05.000000,192.0,43149.0,50099.0,https://anaconda.org/conda-forge/nipype,2020-11-28 17:44:51.813000,417014.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n201,data-validation,tensorflow/data-validation,,data-viz,https://github.com/tensorflow/data-validation,https://github.com/tensorflow/data-validation,Apache-2.0,2018-07-02 15:47:02.000000,2021-06-30 00:27:05.000000,2021-06-30 00:27:00.000000,99,37.0,89.0,557.0,642.0,Library for exploring and validating machine learning data.,21.0,28,True,2021-06-22 20:34:12.000000,1.1.0,30.0,tensorflow-data-validation,,,,\"['tensorflow', 'jupyter']\",315.0,297.0,https://pypi.org/project/tensorflow-data-validation,2021-06-22 20:34:12.000000,18.0,5429754.0,5429760.0,,,,,,,,2.0,237.0,,,,,,,,,,,,,,,,,,,,,\n202,DIPY,dipy/dipy,,medical-data,https://github.com/dipy/dipy,https://github.com/dipy/dipy,BSD-3-Clause,2010-02-06 11:43:08.000000,2021-06-28 09:27:25.000000,2021-06-28 09:27:25.000000,313,156.0,616.0,447.0,11611.0,\"DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal..\",123.0,28,True,2021-03-14 14:05:15.000000,1.4.0,23.0,dipy,conda-forge/dipy,,,,487.0,393.0,https://pypi.org/project/dipy,2021-05-06 04:40:48.000000,94.0,16894.0,20663.0,https://anaconda.org/conda-forge/dipy,2021-05-06 13:36:55.402000,233731.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n203,Streamlit,streamlit/streamlit,,others,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000000,2021-07-01 14:14:43.000000,2021-06-30 18:44:37.000000,1297,558.0,1287.0,15105.0,,Streamlit The fastest way to build data apps in Python.,108.0,27,True,2021-06-21 16:38:57.000000,0.83.0,132.0,streamlit,,,,,128.0,94.0,https://pypi.org/project/streamlit,2021-06-17 18:41:58.000000,34.0,335170.0,335170.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n204,PaddleOCR,PaddlePaddle/PaddleOCR,,ocr,https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000000,2021-07-01 12:51:42.000000,2021-07-01 06:24:48.000000,2658,724.0,1541.0,13135.0,,\"Awesome multilingual OCR toolkits based on PaddlePaddle practical ultra lightweight OCR system, support 80+ languages..\",56.0,27,True,2021-05-26 11:43:06.000000,2.1.1,13.0,paddleocr,,,,['paddle'],195.0,195.0,https://pypi.org/project/paddleocr,2021-04-13 04:02:10.000000,0.0,33013.0,33013.0,,,,,,,,2.0,,,,,,,,2.0,,,,,,,,,,,,,,\n205,baselines,openai/baselines,,reinforcement-learning,https://github.com/openai/baselines,https://github.com/openai/baselines,MIT,2017-05-24 01:58:13.000000,2021-06-12 21:46:56.000000,2020-01-31 13:06:18.000000,4037,455.0,429.0,11630.0,347.0,OpenAI Baselines: high-quality implementations of reinforcement learning algorithms.,114.0,27,False,2018-02-26 17:07:07.000000,0.1.5,6.0,baselines,,,,,398.0,324.0,https://pypi.org/project/baselines,2018-02-26 17:07:07.000000,74.0,2735.0,2735.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n206,InsightFace,deepinsight/insightface,,image,https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,MIT,2017-09-01 00:36:51.000000,2021-07-01 05:41:30.000000,2021-07-01 05:41:30.000000,3223,822.0,744.0,9520.0,1643.0,Face Analysis Project on PyTorch and MXNet.,20.0,27,True,2021-06-19 15:48:40.000000,0.3.5,14.0,insightface,,,,['mxnet'],78.0,76.0,https://pypi.org/project/insightface,2021-06-19 15:48:40.000000,2.0,7724.0,7724.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n207,TPOT,EpistasisLab/tpot,,hyperopt,https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40.000000,2021-03-17 21:46:35.000000,2021-01-06 15:17:46.000000,1404,223.0,597.0,8092.0,2368.0,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,108.0,27,False,2021-01-06 15:20:08.000000,0.11.7,60.0,tpot,conda-forge/tpot,,,['sklearn'],1122.0,1042.0,https://pypi.org/project/tpot,2021-01-06 15:20:08.000000,80.0,23093.0,25214.0,https://anaconda.org/conda-forge/tpot,2021-03-05 04:04:38.005000,123039.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n208,PySyft,OpenMined/PySyft,,privacy-ml,https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,Apache-2.0,2017-07-18 20:41:16.000000,2021-07-01 14:04:00.000000,2021-06-28 22:55:59.000000,1672,234.0,2741.0,7328.0,9339.0,A library for answering questions using data you cannot see.,409.0,27,True,2021-06-28 06:54:51.000000,0.5.0,54.0,syft,,,,['pytorch'],6.0,,https://pypi.org/project/syft,2021-06-28 06:55:25.000000,6.0,3191.0,3191.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n209,ParlAI,facebookresearch/ParlAI,,nlp,https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44.000000,2021-07-01 14:06:52.000000,2021-06-28 19:34:04.000000,1475,98.0,923.0,7286.0,3795.0,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,153.0,27,True,2021-04-23 13:45:44.000000,1.2.0,16.0,parlai,,,,['pytorch'],27.0,27.0,https://pypi.org/project/parlai,2021-04-23 13:41:57.000000,0.0,2123.0,2123.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n210,imageai,OlafenwaMoses/ImageAI,,image,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33.000000,2021-06-14 09:00:26.000000,2021-05-08 20:05:36.000000,1733,209.0,415.0,6273.0,292.0,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,14.0,27,True,2021-01-05 01:26:01.000000,2.1.6,10.0,imageai,,,,,894.0,870.0,https://pypi.org/project/imageai,2021-01-05 01:26:01.000000,24.0,10753.0,26228.0,,,,,,,,2.0,603532.0,,,,,,,,,,,,,,,,,,,,,\n211,EfficientNet-PyTorch,lukemelas/EfficientNet-PyTorch,,pytorch-utils,https://github.com/lukemelas/EfficientNet-PyTorch,https://github.com/lukemelas/EfficientNet-PyTorch,Apache-2.0,2019-05-30 05:24:11.000000,2021-05-25 07:07:22.000000,2021-04-15 15:16:36.000000,1190,117.0,133.0,6162.0,162.0,A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!).,24.0,27,True,2021-04-15 15:17:23.000000,0.7.1,13.0,efficientnet-pytorch,,,,['pytorch'],14.0,,https://pypi.org/project/efficientnet-pytorch,2021-04-15 15:17:23.000000,14.0,74288.0,112196.0,,,,,,,,1.0,606530.0,,,,,,,,,,,,,,,,,,,,,\n212,tsfresh,blue-yonder/tsfresh,,time-series-data,https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17.000000,2021-07-01 06:40:13.000000,2021-06-21 19:49:36.000000,886,38.0,426.0,5749.0,398.0,Automatic extraction of relevant features from time series:.,77.0,27,True,2021-03-06 08:49:53.000000,0.18.0,26.0,tsfresh,conda-forge/tsfresh,,,['sklearn'],66.0,,https://pypi.org/project/tsfresh,2020-09-09 21:08:22.000000,66.0,196684.0,197505.0,https://anaconda.org/conda-forge/tsfresh,2021-03-07 06:57:04.012000,36136.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n213,CleverHans,cleverhans-lab/cleverhans,,adversarial,https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04.000000,2021-05-31 01:26:50.000000,2021-04-20 08:51:08.000000,1295,26.0,419.0,5172.0,3194.0,\"An adversarial example library for constructing attacks, building defenses, and benchmarking both.\",123.0,27,True,2021-04-28 13:26:45.000000,3.1.0,7.0,cleverhans,,,,['tensorflow'],247.0,231.0,https://pypi.org/project/cleverhans,2021-04-28 13:26:45.000000,16.0,970.0,970.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n214,scikit-surprise,NicolasHug/Surprise,,recommender-systems,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38.000000,2020-10-13 01:22:58.850000,2020-08-05 17:45:59.000000,862,51.0,291.0,4909.0,622.0,A Python scikit for building and analyzing recommender systems.,38.0,27,True,2020-07-19 14:50:48.000000,1.1.1,9.0,scikit-surprise,conda-forge/scikit-surprise,,,,1207.0,1159.0,https://pypi.org/project/scikit-surprise,2020-07-19 14:50:48.000000,48.0,58706.0,63037.0,https://anaconda.org/conda-forge/scikit-surprise,2020-10-13 01:22:58.850000,181911.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n215,Metaflow,Netflix/metaflow,,ml-experiments,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000000,2021-07-01 08:37:30.000000,2021-06-29 22:14:45.000000,380,159.0,164.0,4460.0,282.0,Build and manage real-life data science projects with ease.,34.0,27,True,2021-06-29 22:17:30.000000,2.3.2,26.0,metaflow,conda-forge/metaflow,,,,165.0,163.0,https://pypi.org/project/metaflow,2021-06-29 23:06:48.000000,2.0,85826.0,86786.0,https://anaconda.org/conda-forge/metaflow,2021-06-30 01:42:17.102000,18241.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n216,skorch,skorch-dev/skorch,,ml-frameworks,https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000000,2021-07-01 12:26:46.000000,2021-06-23 16:51:06.000000,283,43.0,346.0,4013.0,960.0,A scikit-learn compatible neural network library that wraps PyTorch.,42.0,27,True,2021-03-23 15:34:51.000000,0.10.0,13.0,skorch,conda-forge/skorch,,,\"['pytorch', 'sklearn']\",374.0,348.0,https://pypi.org/project/skorch,2021-03-23 15:32:29.000000,26.0,15988.0,24681.0,https://anaconda.org/conda-forge/skorch,2021-03-24 00:24:03.810000,295594.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n217,pyAudioAnalysis,tyiannak/pyAudioAnalysis,,audio,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13.000000,2021-06-15 12:26:17.000000,2021-06-15 12:26:16.000000,994,170.0,109.0,3997.0,689.0,\"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.\",25.0,27,True,2021-05-13 14:14:02.000000,0.3.7,16.0,pyAudioAnalysis,,,,,247.0,225.0,https://pypi.org/project/pyAudioAnalysis,2021-05-13 14:14:02.000000,22.0,15559.0,15559.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n218,InterpretML,interpretml/interpret,,interpretability,https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000000,2021-06-29 00:40:52.000000,2021-06-29 00:39:28.000000,486,80.0,137.0,3902.0,1706.0,Fit interpretable models. Explain blackbox machine learning.,27.0,27,True,2021-06-22 01:20:02.000000,0.2.5,35.0,interpret,,,,['jupyter'],93.0,91.0,https://pypi.org/project/interpret,2021-06-22 01:12:04.000000,2.0,22851.0,22851.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n219,espnet,espnet/espnet,,audio,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000000,2021-06-30 19:45:57.000000,2021-06-30 08:40:15.000000,1225,205.0,1181.0,3893.0,11419.0,End-to-End Speech Processing Toolkit.,161.0,27,True,2021-06-22 01:03:09.000000,.0.10.0,36.0,espnet,,,,,11.0,11.0,https://pypi.org/project/espnet,2021-06-22 01:03:33.000000,0.0,3669.0,3670.0,,,,,,,,2.0,72.0,,,,,,,,,,,,,,,,,,,,,\n220,pyfolio,quantopian/pyfolio,,financial-data,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39.000000,2021-06-07 17:20:04.000000,2020-07-15 13:46:58.000000,1231,132.0,264.0,3881.0,1184.0,Portfolio and risk analytics in Python.,55.0,27,True,2019-04-15 15:00:21.000000,0.9.2,22.0,pyfolio,conda-forge/pyfolio,,,,327.0,273.0,https://pypi.org/project/pyfolio,2019-04-15 15:00:21.000000,54.0,7211.0,7373.0,https://anaconda.org/conda-forge/pyfolio,2020-05-16 14:11:57.267000,6651.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n221,Perspective,finos/perspective,,data-viz,https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000000,2021-07-01 12:59:05.000000,2021-07-01 00:38:08.000000,373,66.0,357.0,3418.0,4570.0,Streaming pivot visualization via WebAssembly.,64.0,27,True,2021-06-17 08:14:42.000000,0.9.0,47.0,perspective-python,,,,['jupyter'],201.0,193.0,https://pypi.org/project/perspective-python,2021-06-17 08:14:42.000000,8.0,1976.0,3822.0,,,,,,,,2.0,,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2021-06-16 04:55:36.559000,,1846.0,,,,,,,,,,,,,,,\n222,DeepChem,deepchem/deepchem,,others,https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000000,2021-07-01 09:42:55.000000,2021-06-30 23:34:18.000000,1009,398.0,896.0,3007.0,6599.0,\"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.\",164.0,27,True,2021-03-18 03:10:52.000000,2.5.0,274.0,deepchem,,,,['tensorflow'],48.0,44.0,https://pypi.org/project/deepchem,2021-06-30 23:36:06.000000,4.0,5196.0,5196.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n223,missingno,ResidentMario/missingno,,data-viz,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50.000000,2021-04-27 16:05:07.000000,2021-04-27 16:05:07.000000,360,20.0,89.0,2820.0,171.0,Missing data visualization module for Python.,16.0,27,True,2019-07-09 16:05:14.000000,0.4.2,22.0,missingno,conda-forge/missingno,,,,4348.0,4196.0,https://pypi.org/project/missingno,2019-07-09 16:05:14.000000,152.0,415489.0,417630.0,https://anaconda.org/conda-forge/missingno,2020-02-15 10:07:41.253000,102787.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n224,pomegranate,jmschrei/pomegranate,,probabilistics,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000000,2021-05-04 19:09:20.000000,2021-05-04 19:09:16.000000,486,52.0,565.0,2698.0,897.0,\"Fast, flexible and easy to use probabilistic modelling in Python.\",62.0,27,True,2021-03-29 16:51:20.000000,0.14.4,65.0,pomegranate,conda-forge/pomegranate,,,,534.0,478.0,https://pypi.org/project/pomegranate,2021-03-29 16:51:20.000000,56.0,47913.0,50530.0,https://anaconda.org/conda-forge/pomegranate,2020-11-01 16:22:04.857000,62815.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n225,Catalyst,catalyst-team/catalyst,,ml-experiments,https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13.000000,2021-06-30 16:59:36.000000,2021-06-29 06:25:47.000000,321,16.0,298.0,2628.0,1560.0,Accelerated deep learning R&D.,91.0,27,True,2021-06-29 06:37:29.000000,21.06,96.0,catalyst,,,,['pytorch'],410.0,372.0,https://pypi.org/project/catalyst,2021-06-29 06:31:24.000000,38.0,10677.0,10677.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n226,BentoML,bentoml/BentoML,,model-serialisation,https://github.com/bentoml/BentoML,https://github.com/bentoml/BentoML,Apache-2.0,2019-04-02 01:39:27.000000,2021-07-01 10:31:30.000000,2021-06-30 12:47:46.000000,299,81.0,375.0,2605.0,1139.0,Model Serving Made Easy.,84.0,27,True,2021-06-16 17:13:15.000000,0.13.0,69.0,bentoml,,,,,101.0,93.0,https://pypi.org/project/bentoml,2021-06-16 16:08:44.000000,8.0,10256.0,10284.0,,,,,,,,1.0,774.0,,,,,,,,,,,,,,True,,,,,,,\n227,Sumy,miso-belica/sumy,,nlp,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48.000000,2021-06-17 15:47:06.000000,2021-06-17 15:47:06.000000,456,13.0,78.0,2600.0,398.0,Module for automatic summarization of text documents and HTML pages.,21.0,27,True,2019-05-19 14:39:21.000000,0.8.1,13.0,sumy,,,,,1016.0,824.0,https://pypi.org/project/sumy,2019-05-19 14:38:29.000000,192.0,25691.0,25691.0,,,,,,,,2.0,,,,,,,,2.0,,,,,,,,,,,,,,\n228,ClearML,allegroai/clearml,,ml-experiments,https://github.com/allegroai/clearml,https://github.com/allegroai/clearml,Apache-2.0,2019-06-10 08:18:32.000000,2021-06-30 21:03:20.000000,2021-06-30 21:03:11.000000,366,98.0,233.0,2545.0,1223.0,\"ClearML - Auto-Magical Suite of tools to streamline your ML workflow. Experiment Manager, ML-Ops and Data-Management.\",33.0,27,True,2021-06-22 14:55:39.000000,1.0.4,45.0,clearml,,allegroai/trains,,,49.0,49.0,https://pypi.org/project/clearml,2021-06-22 14:54:49.000000,0.0,22856.0,24070.0,,,,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,30064.0,2.0,312.0,,,,,,,,,,,,,,,,,,,,,\n229,gpustat,wookayin/gpustat,,gpu-utilities,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43.000000,2021-06-04 13:53:57.000000,2021-03-23 06:32:48.000000,205,22.0,50.0,2484.0,168.0,A simple command-line utility for querying and monitoring GPU status.,12.0,27,True,2019-07-22 06:37:00.000000,0.6.0,11.0,gpustat,conda-forge/gpustat,,,,1058.0,1000.0,https://pypi.org/project/gpustat,2021-01-02 05:59:41.000000,58.0,387116.0,389465.0,https://anaconda.org/conda-forge/gpustat,2020-11-24 19:59:04.772000,65779.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n230,eli5,TeamHG-Memex/eli5,,interpretability,https://github.com/TeamHG-Memex/eli5,https://github.com/TeamHG-Memex/eli5,MIT,2016-09-15 01:04:57.000000,2021-06-10 22:02:56.000000,2020-01-22 07:39:36.000000,297,145.0,110.0,2398.0,1198.0,A library for debugging/inspecting machine learning classifiers and explaining their predictions.,14.0,27,False,2021-01-23 14:25:24.000000,0.11.0,28.0,eli5,conda-forge/eli5,,,,110.0,,https://pypi.org/project/eli5,2021-01-23 14:25:24.000000,110.0,487124.0,489076.0,https://anaconda.org/conda-forge/eli5,2021-01-25 08:24:59.385000,97644.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n231,implicit,benfred/implicit,,recommender-systems,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000000,2021-05-14 05:51:51.000000,2021-05-08 16:08:26.000000,490,84.0,264.0,2396.0,309.0,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,29.0,27,True,2020-09-15 22:01:38.000000,0.4.4,34.0,implicit,conda-forge/implicit,,,,481.0,437.0,https://pypi.org/project/implicit,2020-09-15 22:01:38.000000,44.0,133607.0,139887.0,https://anaconda.org/conda-forge/implicit,2020-11-24 06:44:37.378000,263761.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n232,ta,bukosabino/ta,,financial-data,https://github.com/bukosabino/ta,https://github.com/bukosabino/ta,MIT,2018-01-02 18:08:48.000000,2021-06-09 16:12:58.000000,2020-11-29 21:08:14.000000,549,90.0,87.0,2241.0,582.0,Technical Analysis Library using Pandas and Numpy.,23.0,27,True,2020-11-29 10:49:09.000000,0.7.0,49.0,ta,,,,,642.0,630.0,https://pypi.org/project/ta,2020-11-29 10:49:09.000000,12.0,71416.0,71416.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n233,spark-nlp,JohnSnowLabs/spark-nlp,,nlp,https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000000,2021-07-01 12:59:05.000000,2021-07-01 08:32:51.000000,462,78.0,427.0,2223.0,11147.0,State of the Art Natural Language Processing.,89.0,27,True,2021-06-23 15:02:45.000000,3.1.1,86.0,spark-nlp,,,,['spark'],0.0,,https://pypi.org/project/spark-nlp,2021-06-23 14:28:34.000000,0.0,734125.0,734125.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n234,BoTorch,pytorch/botorch,,hyperopt,https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000000,2021-07-01 10:47:55.000000,2021-06-30 14:32:50.000000,209,40.0,144.0,1984.0,953.0,Bayesian optimization in PyTorch.,55.0,27,True,2021-06-29 19:31:00.000000,0.5.0,17.0,botorch,,,,['pytorch'],138.0,138.0,https://pypi.org/project/botorch,2021-06-29 19:37:54.000000,0.0,64264.0,64264.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n235,Foolbox,bethgelab/foolbox,,adversarial,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48.000000,2021-06-28 09:31:17.000000,2021-06-05 09:38:18.000000,356,56.0,268.0,1949.0,1648.0,\"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.\",32.0,27,True,2021-02-23 07:09:34.000000,3.3.1,68.0,foolbox,,,,,227.0,209.0,https://pypi.org/project/foolbox,2021-02-23 07:07:53.000000,18.0,2248.0,2248.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n236,TorchServe,pytorch/serve,,model-serialisation,https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000000,2021-06-30 22:09:53.000000,2021-06-16 18:42:28.000000,321,117.0,516.0,1930.0,1730.0,Model Serving on PyTorch.,74.0,27,True,2021-05-22 00:09:49.000000,0.4.0,8.0,torchserve,pytorch/torchserve,pytorch/torchserve,,['pytorch'],61.0,61.0,https://pypi.org/project/torchserve,2021-05-20 22:22:18.000000,0.0,9103.0,12866.0,https://anaconda.org/pytorch/torchserve,2021-05-21 22:06:07.527000,9785.0,https://hub.docker.com/r/pytorch/torchserve,2021-05-20 22:32:59.391640,3.0,64862.0,1.0,351.0,,,,,,,,,,,,,,,,,,,,,\n237,MNE,mne-tools/mne-python,,medical-data,https://github.com/mne-tools/mne-python,https://github.com/mne-tools/mne-python,BSD-3-Clause,2011-01-28 03:31:13.000000,2021-07-01 14:54:13.000000,2021-07-01 13:32:10.000000,913,332.0,3356.0,1621.0,,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,262.0,27,True,2021-04-27 19:00:31.000000,0.23.0,52.0,mne,conda-forge/mne,,,,1211.0,1013.0,https://pypi.org/project/mne,2021-04-27 19:00:31.000000,198.0,49865.0,52594.0,https://anaconda.org/conda-forge/mne,2021-04-27 21:31:05.562000,144643.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n238,Ax,facebook/Ax,,hyperopt,https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000000,2021-07-01 05:53:13.000000,2021-06-30 18:39:59.000000,163,27.0,239.0,1531.0,1228.0,Adaptive Experimentation Platform.,96.0,27,True,2021-06-30 21:07:38.000000,0.2.0,22.0,ax-platform,,,,['pytorch'],187.0,183.0,https://pypi.org/project/ax-platform,2021-06-30 22:14:39.000000,4.0,54017.0,54017.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n239,TFX,tensorflow/tfx,,data-pipelines,https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000000,2021-07-01 13:19:49.000000,2021-07-01 00:23:39.000000,460,242.0,403.0,1492.0,3645.0,TFX is an end-to-end platform for deploying production ML pipelines.,117.0,27,True,2021-06-25 15:54:35.000000,0.30.1,52.0,tfx,,,,['tensorflow'],4.0,,https://pypi.org/project/tfx,2021-06-25 19:18:12.000000,4.0,459675.0,459675.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n240,GPflow,GPflow/GPflow,,probabilistics,https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000000,2021-07-01 14:42:52.000000,2021-07-01 14:42:52.000000,404,103.0,611.0,1467.0,2229.0,Gaussian processes in TensorFlow.,71.0,27,True,2021-04-29 14:49:29.000000,2.2.1,31.0,gpflow,conda-forge/gpflow,,,['tensorflow'],304.0,270.0,https://pypi.org/project/gpflow,2021-04-29 14:49:29.000000,34.0,5041.0,5283.0,https://anaconda.org/conda-forge/gpflow,2018-11-06 08:51:39.744000,9201.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n241,Model Analysis,tensorflow/model-analysis,,interpretability,https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000000,2021-06-30 22:46:26.000000,2021-06-30 22:46:21.000000,221,30.0,38.0,1067.0,978.0,Model analysis tools for TensorFlow.,35.0,27,True,2021-06-24 00:24:51.000000,0.32.0,40.0,tensorflow-model-analysis,,,,\"['tensorflow', 'jupyter']\",20.0,,https://pypi.org/project/tensorflow-model-analysis,2021-06-24 00:24:51.000000,20.0,5111664.0,5111664.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n242,Mesh,tensorflow/mesh,,distributed-ml,https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34.000000,2021-06-29 17:38:06.000000,2021-06-29 17:37:56.000000,172,79.0,13.0,1057.0,616.0,Mesh TensorFlow: Model Parallelism Made Easier.,42.0,27,True,2021-03-24 19:03:46.000000,0.1.19,25.0,mesh-tensorflow,,,,['tensorflow'],603.0,547.0,https://pypi.org/project/mesh-tensorflow,2021-03-24 19:03:46.000000,56.0,273328.0,273328.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n243,agate,wireservice/agate,,others,https://github.com/wireservice/agate,https://github.com/wireservice/agate,MIT,2014-04-25 13:59:09.000000,2021-05-31 03:58:22.153000,2021-03-10 22:04:12.000000,132,54.0,588.0,1047.0,1356.0,A Python data analysis library that is optimized for humans instead of machines.,47.0,27,True,2018-03-11 14:37:30.000000,1.6.1,24.0,agate,conda-forge/agate,,,,817.0,575.0,https://pypi.org/project/agate,2018-03-11 14:37:30.000000,242.0,661108.0,662348.0,https://anaconda.org/conda-forge/agate,2021-05-31 03:58:22.153000,65727.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n244,arviz,arviz-devs/arviz,,interpretability,https://github.com/arviz-devs/arviz,https://github.com/arviz-devs/arviz,Apache-2.0,2015-07-29 11:51:10.000000,2021-07-01 02:54:53.000000,2021-07-01 02:54:53.000000,218,141.0,483.0,1043.0,,Exploratory analysis of Bayesian models with Python.,86.0,27,True,2021-02-21 19:39:56.000000,0.11.2,23.0,arviz,conda-forge/arviz,,,,1119.0,1083.0,https://pypi.org/project/arviz,2021-02-21 19:39:56.000000,36.0,435350.0,449051.0,https://anaconda.org/conda-forge/arviz,2021-04-20 19:35:43.998000,356188.0,,,,,1.0,98.0,,,,,,,,,,,,,,,,,,,,,\n245,petl,petl-developers/petl,,data-pipelines,https://github.com/petl-developers/petl,https://github.com/petl-developers/petl,MIT,2011-08-19 09:51:03.000000,2021-06-17 10:01:39.000000,2021-06-11 01:18:26.000000,153,68.0,348.0,902.0,1145.0,Python Extract Transform and Load Tables of Data.,47.0,27,True,2021-03-27 03:06:14.000000,1.7.4,79.0,petl,conda-forge/petl,,http://petl.readthedocs.org,,554.0,440.0,https://pypi.org/project/petl,2021-03-27 03:06:14.000000,114.0,36532.0,36986.0,https://anaconda.org/conda-forge/petl,2021-04-05 21:49:41.242000,26368.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n246,cartopy,SciTools/cartopy,,data-viz,https://github.com/SciTools/cartopy,https://github.com/SciTools/cartopy,LGPL-3.0,2012-08-03 07:43:59.000000,2021-06-30 01:03:05.000000,2021-06-11 13:07:10.000000,277,297.0,671.0,884.0,2289.0,Cartopy - a cartographic python library with matplotlib support.,94.0,27,False,2021-04-23 16:45:56.000000,0.19.0.post1,22.0,cartopy,conda-forge/cartopy,,,,2063.0,1717.0,https://pypi.org/project/cartopy,2021-04-23 16:49:22.000000,346.0,68272.0,93888.0,https://anaconda.org/conda-forge/cartopy,2021-05-21 06:58:00.865000,1639438.0,,,,,2.0,,,,,,,,,,,,,,,True,,,,,,,\n247,PyVista,pyvista/pyvista,,data-viz,https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000000,2021-06-30 17:44:07.000000,2021-06-29 23:50:32.000000,167,147.0,366.0,845.0,2250.0,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,58.0,27,True,2021-06-23 21:59:31.000000,0.31.3,47.0,pyvista,conda-forge/pyvista,,,['jupyter'],407.0,381.0,https://pypi.org/project/pyvista,2021-06-23 21:59:31.000000,26.0,30923.0,34536.0,https://anaconda.org/conda-forge/pyvista,2021-06-24 01:50:57.553000,93907.0,,,,,2.0,114.0,,,,,,,,,,,,,,,,,,,,,\n248,TensorFlow Text,tensorflow/text,,nlp,https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000000,2021-07-01 05:18:39.000000,2021-06-30 21:58:17.000000,106,53.0,101.0,763.0,450.0,Making text a first-class citizen in TensorFlow.,48.0,27,True,2021-05-24 19:16:25.000000,2.5.0,34.0,tensorflow-text,,,,['tensorflow'],783.0,779.0,https://pypi.org/project/tensorflow-text,2021-05-21 21:08:47.000000,4.0,990383.0,990383.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n249,geojson,jazzband/geojson,,geospatial-data,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48.000000,2021-03-21 16:52:10.000000,2021-03-21 16:52:09.000000,85,22.0,53.0,631.0,448.0,Python bindings and utilities for GeoJSON.,44.0,27,True,2019-08-09 20:32:15.000000,2.5.0,28.0,geojson,conda-forge/geojson,,,,8835.0,7001.0,https://pypi.org/project/geojson,2019-08-09 20:32:15.000000,1834.0,670121.0,676605.0,https://anaconda.org/conda-forge/geojson,2019-08-11 12:10:34.426000,415004.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n250,CNTK,microsoft/CNTK,,ml-frameworks,https://github.com/microsoft/CNTK,https://github.com/microsoft/CNTK,MIT,2015-11-26 09:52:06.000000,2020-12-09 22:21:57.000000,2020-03-31 15:55:14.000000,4402,836.0,2523.0,17037.0,16116.0,\"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.\",265.0,26,False,2019-04-26 14:13:32.000000,2.7,32.0,cntk,,,,,34.0,,https://pypi.org/project/cntk,2020-12-09 22:21:57.000000,34.0,1401.0,1610.0,,,,,,,,3.0,13847.0,,,,,,,,,,,,,,,,,,,,,\n251,Magenta,magenta/magenta,,audio,https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40.000000,2021-06-30 21:44:22.000000,2021-06-30 21:44:13.000000,3449,312.0,560.0,16744.0,,Magenta: Music and Art Generation with Machine Intelligence.,149.0,26,True,2020-11-12 19:17:18.000000,2.1.3,66.0,magenta,,,,['tensorflow'],372.0,302.0,https://pypi.org/project/magenta,2020-11-12 19:17:18.000000,70.0,5125.0,5125.0,,,,,,,,2.0,,,,,,,,-3.0,,,,,,,,,,,,,,\n252,MMDetection,open-mmlab/mmdetection,,image,https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000000,2021-07-01 14:15:36.000000,2021-07-01 05:31:36.000000,5439,295.0,3687.0,15470.0,1625.0,OpenMMLab Detection Toolbox and Benchmark.,232.0,26,True,2021-06-29 14:02:09.000000,2.14.0,14.0,,,,,['pytorch'],68.0,68.0,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n253,Turi Create,apple/turicreate,,ml-frameworks,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04.000000,2021-06-14 17:53:17.000000,2021-06-14 17:53:17.000000,1103,481.0,1268.0,10329.0,,Turi Create simplifies the development of custom machine learning models.,82.0,26,True,2020-09-30 22:51:40.000000,6.4.1,31.0,turicreate,,,,,282.0,248.0,https://pypi.org/project/turicreate,2020-09-30 22:51:40.000000,34.0,33567.0,33667.0,,,,,,,,3.0,4337.0,,,,,,,,,,,,,,,,,,,,,\n254,backtrader,mementum/backtrader,,financial-data,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52.000000,2021-06-21 08:38:59.000000,2021-02-11 20:51:09.000000,2120,32.0,,6785.0,2383.0,Python Backtesting library for trading strategies.,51.0,26,False,,,155.0,backtrader,,,,,704.0,634.0,https://pypi.org/project/backtrader,2020-07-03 13:02:14.000000,70.0,53563.0,53563.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n255,TensorLayer,tensorlayer/tensorlayer,,reinforcement-learning,https://github.com/tensorlayer/tensorlayer,https://github.com/tensorlayer/tensorlayer,Apache-2.0,2016-06-07 15:55:16.000000,2021-06-30 03:23:36.000000,2021-03-17 01:32:00.000000,1487,20.0,433.0,6643.0,3346.0,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,131.0,26,True,2021-01-06 07:16:21.000000,2.2.4,82.0,tensorlayer,,,,['tensorflow'],68.0,,https://pypi.org/project/tensorlayer,2020-06-19 00:53:37.000000,68.0,2906.0,2927.0,,,,,,,,2.0,1260.0,,,,,,,,,,,,,,,,,,,,,\n256,Facets Overview,pair-code/facets,,data-viz,https://github.com/PAIR-code/facets,https://github.com/PAIR-code/facets,Apache-2.0,2017-07-07 14:03:03.000000,2021-05-06 12:01:08.000000,2021-05-06 12:01:05.000000,834,76.0,76.0,6611.0,264.0,Visualizations for machine learning datasets.,28.0,26,True,2019-07-24 15:57:06.000000,1.0.0,4.0,facets-overview,,,,['jupyter'],62.0,56.0,https://pypi.org/project/facets-overview,2019-07-24 15:57:06.000000,6.0,91783.0,91783.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n257,featuretools,alteryx/featuretools,,hyperopt,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17.000000,2021-06-30 20:59:42.000000,2021-06-28 16:12:27.000000,729,125.0,456.0,5616.0,,An open source python library for automated feature engineering.,50.0,26,True,2021-06-11 20:31:20.000000,0.25.0,76.0,featuretools,conda-forge/featuretools,,,,845.0,775.0,https://pypi.org/project/featuretools,2021-06-11 20:32:07.000000,70.0,187295.0,189131.0,https://anaconda.org/conda-forge/featuretools,2021-06-29 15:43:56.093000,56934.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n258,DeepSpeed,microsoft/DeepSpeed,,distributed-ml,https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,MIT,2020-01-23 18:35:18.000000,2021-07-01 04:54:19.000000,2021-06-28 19:42:39.000000,525,275.0,278.0,5179.0,611.0,\"DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.\",56.0,26,True,2021-06-23 17:19:47.000000,0.4.1,26.0,deepspeed,,deepspeed/deepspeed,,['pytorch'],54.0,54.0,https://pypi.org/project/deepspeed,2021-06-23 17:17:54.000000,0.0,44621.0,45109.0,,,,https://hub.docker.com/r/deepspeed/deepspeed,2021-05-05 21:39:11.981563,2.0,8792.0,2.0,,,,,,,,,,,,,,,,,,,,,,\n259,PyTorch3D,facebookresearch/pytorch3d,,image,https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,MIT,2019-10-25 02:23:45.000000,2021-06-29 22:37:37.000000,2021-06-29 22:37:33.000000,596,85.0,579.0,4942.0,501.0,PyTorch3D is FAIR's library of reusable components for deep learning with 3D data.,63.0,26,True,2021-02-09 23:13:45.000000,0.4.0,7.0,pytorch3d,pytorch3d/pytorch3d,,,['pytorch'],87.0,87.0,https://pypi.org/project/pytorch3d,2021-02-09 23:13:45.000000,0.0,9014.0,9576.0,https://anaconda.org/pytorch3d/pytorch3d,2021-02-09 22:34:07.773000,11247.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n260,OCRmyPDF,jbarlow83/OCRmyPDF,,ocr,https://github.com/jbarlow83/OCRmyPDF,https://github.com/jbarlow83/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000000,2021-06-16 09:04:04.000000,2021-06-16 07:40:47.000000,456,93.0,622.0,4430.0,2971.0,\"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.\",54.0,26,True,2021-06-16 09:04:04.000000,12.2.0,175.0,ocrmypdf,,,,,12.0,,https://pypi.org/project/ocrmypdf,2021-06-16 09:04:04.000000,12.0,18816.0,18816.0,,,,,,,,2.0,,,,,,,,,,ocrmypdf,ocrmypdf,,,,,,,,,,,\n261,Lucid,tensorflow/lucid,,interpretability,https://github.com/tensorflow/lucid,https://github.com/tensorflow/lucid,Apache-2.0,2018-01-25 17:41:44.000000,2021-06-19 12:41:11.000000,2021-03-19 15:48:33.000000,592,65.0,98.0,4238.0,667.0,A collection of infrastructure and tools for research in neural network interpretability.,40.0,26,True,2021-03-19 16:01:00.000000,0.3.10,17.0,lucid,,,,['tensorflow'],575.0,569.0,https://pypi.org/project/lucid,2021-03-19 16:01:00.000000,6.0,1215.0,1215.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n262,sktime,alan-turing-institute/sktime,,time-series-data,https://github.com/alan-turing-institute/sktime,https://github.com/alan-turing-institute/sktime,BSD-3-Clause,2018-11-06 15:08:24.000000,2021-07-01 12:09:53.000000,2021-07-01 11:02:32.000000,564,159.0,350.0,4139.0,,A unified framework for machine learning with time series.,96.0,26,True,2021-05-14 23:18:54.000000,0.6.1,15.0,sktime,,,,['sklearn'],192.0,192.0,https://pypi.org/project/sktime,2021-05-14 23:18:54.000000,0.0,106330.0,106332.0,,,,,,,,2.0,58.0,,,,,,,,,,,,,,,,,,,,,\n263,AutoGluon,awslabs/autogluon,,hyperopt,https://github.com/awslabs/autogluon,https://github.com/awslabs/autogluon,Apache-2.0,2019-07-29 18:51:24.000000,2021-07-01 09:04:12.000000,2021-06-30 22:41:39.000000,447,111.0,392.0,3435.0,633.0,\"AutoGluon: AutoML for Text, Image, and Tabular Data.\",58.0,26,True,2021-04-28 22:25:13.000000,0.2.0,463.0,autogluon,,,,['mxnet'],60.0,60.0,https://pypi.org/project/autogluon,2021-07-01 09:04:12.000000,0.0,25385.0,25385.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n264,Alpha Vantage,RomelTorres/alpha_vantage,,financial-data,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00.000000,2021-06-15 14:33:06.000000,2021-06-14 05:10:42.000000,602,16.0,228.0,3393.0,497.0,A python wrapper for Alpha Vantage API for financial data.,39.0,26,True,2020-12-21 02:37:29.000000,2.3.1,28.0,alpha_vantage,,,,,202.0,,https://pypi.org/project/alpha_vantage,2018-08-26 18:55:11.000000,202.0,36074.0,36074.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n265,Hub,activeloopai/Hub,,ml-experiments,https://github.com/activeloopai/Hub,https://github.com/activeloopai/Hub,MPL-2.0,2019-08-09 06:17:59.000000,2021-07-01 14:17:35.000000,2021-06-29 17:28:33.000000,258,32.0,242.0,3321.0,2201.0,Fastest dataset optimization and management for machine and deep learning. Stream data real-time & version-control it...,78.0,26,True,2021-05-29 14:38:13.000000,1.3.7,98.0,hub,,,,\"['tensorflow', 'pytorch']\",178.0,126.0,https://pypi.org/project/hub,2021-06-23 01:02:19.000000,52.0,2827.0,2827.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n266,yellowbrick,DistrictDataLabs/yellowbrick,,interpretability,https://github.com/DistrictDataLabs/yellowbrick,https://github.com/DistrictDataLabs/yellowbrick,Apache-2.0,2016-05-18 14:12:17.000000,2021-05-27 03:15:18.000000,2021-05-17 16:54:05.000000,478,95.0,532.0,3280.0,848.0,Visual analysis and diagnostic tools to facilitate machine learning model selection.,98.0,26,True,2021-02-13 20:31:18.000000,1.3.post1,22.0,yellowbrick,,,,['sklearn'],62.0,,https://pypi.org/project/yellowbrick,2021-02-13 20:42:26.000000,62.0,202529.0,202529.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n267,Stable Baselines,hill-a/stable-baselines,,reinforcement-learning,https://github.com/hill-a/stable-baselines,https://github.com/hill-a/stable-baselines,MIT,2018-07-02 14:28:59.000000,2021-06-02 12:43:18.000000,2021-06-02 12:43:17.000000,620,128.0,762.0,3187.0,837.0,\"A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.\",111.0,26,True,2021-04-06 12:37:09.000000,2.10.2,31.0,stable-baselines,,,,,50.0,,https://pypi.org/project/stable-baselines,2021-04-06 12:37:09.000000,50.0,10673.0,10673.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n268,pytorch-summary,sksq96/pytorch-summary,,pytorch-utils,https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04.000000,2021-06-20 09:40:21.000000,2021-05-10 18:34:53.000000,365,118.0,37.0,3164.0,57.0,Model summary in PyTorch similar to `model.summary()` in Keras.,11.0,26,True,2018-09-26 05:07:28.000000,1.5.1,12.0,torchsummary,,,,['pytorch'],2954.0,2836.0,https://pypi.org/project/torchsummary,2018-09-26 05:07:28.000000,118.0,72236.0,72236.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n269,vaderSentiment,cjhutto/vaderSentiment,,nlp,https://github.com/cjhutto/vaderSentiment,https://github.com/cjhutto/vaderSentiment,MIT,2014-11-17 16:31:45.000000,2021-06-15 23:12:57.000000,2021-03-15 18:43:06.000000,782,33.0,74.0,3053.0,127.0,VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based..,10.0,26,True,2020-05-22 15:07:00.000000,3.3.2,15.0,vadersentiment,,,,,3062.0,2776.0,https://pypi.org/project/vadersentiment,2020-05-22 15:07:00.000000,286.0,126267.0,126267.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n270,nevergrad,facebookresearch/nevergrad,,hyperopt,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000000,2021-07-01 06:15:34.000000,2021-06-28 14:06:47.000000,285,81.0,137.0,2998.0,848.0,A Python toolbox for performing gradient-free optimization.,43.0,26,True,2021-01-28 12:05:40.000000,0.4.3,31.0,nevergrad,conda-forge/nevergrad,,,,198.0,184.0,https://pypi.org/project/nevergrad,2021-06-04 17:44:17.000000,14.0,30433.0,31113.0,https://anaconda.org/conda-forge/nevergrad,2021-06-14 12:44:22.518000,10204.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n271,TensorForce,tensorforce/tensorforce,,reinforcement-learning,https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22.000000,2021-06-27 14:10:46.000000,2021-06-27 14:10:41.000000,510,7.0,581.0,2981.0,2063.0,Tensorforce: a TensorFlow library for applied reinforcement learning.,77.0,26,True,2021-06-05 10:34:19.000000,0.6.4,13.0,tensorforce,,,,['tensorflow'],46.0,,https://pypi.org/project/tensorforce,2019-09-07 13:56:18.000000,46.0,1724.0,1724.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n272,Gradio,gradio-app/gradio,,others,https://github.com/gradio-app/gradio,https://github.com/gradio-app/gradio,Apache-2.0,2018-12-19 08:24:04.000000,2021-06-30 21:30:17.000000,2021-06-30 21:30:14.000000,188,15.0,130.0,2893.0,1101.0,\"Wrap UIs around any model, share with anyone.\",20.0,26,True,2021-06-30 21:30:08.000000,2.0.10,107.0,gradio,,,,,188.0,186.0,https://pypi.org/project/gradio,2021-06-30 21:30:08.000000,2.0,9170.0,9170.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n273,VisPy,vispy/vispy,,data-viz,https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22.000000,2021-07-01 11:43:47.000000,2021-07-01 11:43:47.000000,562,338.0,876.0,2678.0,,High-performance interactive 2D/3D data visualization library.,155.0,26,True,2021-06-30 20:24:36.000000,0.7.0,17.0,vispy,conda-forge/vispy,,,['jupyter'],654.0,532.0,https://pypi.org/project/vispy,2021-06-30 19:22:15.000000,122.0,28553.0,32095.0,https://anaconda.org/conda-forge/vispy,2021-07-01 00:11:53.381000,157590.0,,,,,3.0,,,vispy,https://www.npmjs.com/package/vispy,2020-03-15 14:39:41.516000,,40.0,,,,,,,,,,,,,,,\n274,Captum,pytorch/captum,,interpretability,https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000000,2021-07-01 13:55:40.000000,2021-06-29 00:17:12.000000,257,65.0,184.0,2455.0,822.0,Model interpretability and understanding for PyTorch.,72.0,26,True,2021-01-23 18:11:12.000000,0.3.1,5.0,captum,,,,['pytorch'],217.0,217.0,https://pypi.org/project/captum,2021-01-22 20:55:47.000000,0.0,28253.0,28253.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n275,pygal,Kozea/pygal,,graph,https://github.com/Kozea/pygal,https://github.com/Kozea/pygal,LGPL-3.0,2011-09-23 10:17:50.000000,2021-04-18 11:29:44.000000,2021-03-18 13:12:51.000000,384,164.0,242.0,2363.0,1014.0,PYthon svg GrAph plotting Library.,70.0,26,False,2017-07-05 09:22:41.000000,2.4.0,74.0,pygal,conda-forge/pygal,,,,1152.0,,https://pypi.org/project/pygal,2020-10-14 13:06:35.000000,1152.0,107966.0,108247.0,https://anaconda.org/conda-forge/pygal,2019-06-04 02:55:56.728000,7047.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n276,GluonNLP,dmlc/gluon-nlp,,nlp,https://github.com/dmlc/gluon-nlp,https://github.com/dmlc/gluon-nlp,Apache-2.0,2018-04-04 20:57:13.000000,2021-05-27 17:38:36.000000,2021-05-24 15:19:12.000000,508,252.0,291.0,2295.0,838.0,\"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..\",81.0,26,True,2020-08-13 19:17:42.000000,0.10.0,26.0,gluonnlp,,,,['mxnet'],543.0,521.0,https://pypi.org/project/gluonnlp,2020-08-13 19:17:42.000000,22.0,45274.0,45274.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n277,facenet-pytorch,timesler/facenet-pytorch,,image,https://github.com/timesler/facenet-pytorch,https://github.com/timesler/facenet-pytorch,MIT,2019-05-25 01:29:24.000000,2021-05-23 21:26:30.000000,2021-05-23 21:26:30.000000,474,44.0,88.0,2175.0,234.0,Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models.,14.0,26,True,2021-03-10 01:00:20.000000,2.5.2,31.0,facenet-pytorch,,,,['pytorch'],398.0,392.0,https://pypi.org/project/facenet-pytorch,2021-03-10 01:00:20.000000,6.0,15470.0,21235.0,,,,,,,,2.0,115301.0,,,,,,,,,,,,,,,,,,,,,\n278,aubio,aubio/aubio,,audio,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44.000000,2021-05-18 20:58:41.000000,2021-01-19 09:51:49.000000,311,117.0,175.0,2145.0,4111.0,a library for audio and music analysis.,24.0,26,False,2019-02-27 09:00:43.000000,0.4.9,10.0,aubio,conda-forge/aubio,,,,272.0,236.0,https://pypi.org/project/aubio,2019-02-08 11:21:02.000000,36.0,2990.0,11417.0,https://anaconda.org/conda-forge/aubio,2021-01-19 16:59:52.641000,438251.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n279,haystack,deepset-ai/haystack,,nlp,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000000,2021-07-01 15:24:31.000000,2021-06-30 12:13:46.000000,392,100.0,620.0,2028.0,681.0,End-to-end Python framework for building natural language search interfaces to data. Leverages Transformers and the..,53.0,26,True,2021-06-21 16:50:42.000000,0.9.0,34.0,haystack,,,,,224.0,58.0,https://pypi.org/project/haystack,2017-07-03 04:44:52.000000,166.0,1680.0,1680.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n280,ipyparallel,ipython/ipyparallel,,distributed-ml,https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,BSD-3-Clause,2015-04-09 07:43:55.000000,2021-07-01 11:55:15.000000,2021-07-01 11:54:55.000000,795,66.0,212.0,1993.0,,Interactive Parallel Computing in Python.,101.0,26,True,2020-05-05 18:42:38.000000,6.3.0,23.0,ipyparallel,conda-forge/ipyparallel,,,['jupyter'],2102.0,1612.0,https://pypi.org/project/ipyparallel,2021-06-25 08:19:26.000000,490.0,61831.0,69205.0,https://anaconda.org/conda-forge/ipyparallel,2021-01-22 17:12:52.539000,464584.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n281,StellarGraph,stellargraph/stellargraph,,graph,https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51.000000,2021-06-15 17:03:28.000000,2021-02-18 01:03:15.000000,288,233.0,719.0,1970.0,2515.0,StellarGraph - Machine Learning on Graphs.,32.0,26,True,2020-06-30 05:15:21.000000,1.2.1,25.0,stellargraph,,,,['tensorflow'],75.0,71.0,https://pypi.org/project/stellargraph,2020-06-30 05:10:43.000000,4.0,10030.0,10030.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n282,pytorch-optimizer,jettify/pytorch-optimizer,,pytorch-utils,https://github.com/jettify/pytorch-optimizer,https://github.com/jettify/pytorch-optimizer,Apache-2.0,2020-01-03 03:16:39.000000,2021-06-28 10:06:19.000000,2021-06-26 14:27:11.000000,182,10.0,26.0,1948.0,402.0,torch-optimizer -- collection of optimizers for Pytorch.,21.0,26,True,2021-01-01 16:51:15.000000,0.1.0,19.0,torch_optimizer,,,,['pytorch'],244.0,244.0,https://pypi.org/project/torch_optimizer,2021-01-01 16:51:15.000000,0.0,24376.0,24376.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,,\n283,langid,saffsd/langid.py,,nlp,https://github.com/saffsd/langid.py,https://github.com/saffsd/langid.py,BSD-3-Clause,2011-04-29 00:16:56.000000,2020-01-01 10:49:30.000000,2017-07-15 02:49:17.000000,267,25.0,45.0,1810.0,242.0,Stand-alone language identification system.,9.0,26,False,2016-04-05 22:34:15.000000,1.1.6,8.0,langid,,,,,986.0,736.0,https://pypi.org/project/langid,2016-04-05 22:34:15.000000,250.0,352543.0,352543.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n284,category_encoders,scikit-learn-contrib/category_encoders,,sklearn-utils,https://github.com/scikit-learn-contrib/category_encoders,https://github.com/scikit-learn-contrib/category_encoders,BSD-3-Clause,2015-11-29 19:32:37.000000,2021-06-22 21:39:16.000000,2020-07-31 10:43:44.000000,310,74.0,136.0,1684.0,671.0,A library of sklearn compatible categorical variable encoders.,37.0,26,True,2020-04-29 02:09:51.000000,2.2.2,19.0,category_encoders,conda-forge/category_encoders,,,['sklearn'],23.0,,https://pypi.org/project/category_encoders,2018-10-14 14:15:54.000000,23.0,456303.0,458137.0,https://anaconda.org/conda-forge/category_encoders,2020-04-29 22:37:35.948000,110074.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n285,swifter,jmcarpenter2/swifter,,data-containers,https://github.com/jmcarpenter2/swifter,https://github.com/jmcarpenter2/swifter,MIT,2018-04-07 21:37:19.000000,2021-06-26 01:03:15.021000,2021-06-25 21:30:09.000000,83,16.0,82.0,1677.0,427.0,A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner.,14.0,26,True,2021-06-25 21:31:10.000000,1.0.9,73.0,swifter,conda-forge/swifter,,,['pandas'],380.0,348.0,https://pypi.org/project/swifter,2021-06-25 21:31:10.000000,32.0,81957.0,85918.0,https://anaconda.org/conda-forge/swifter,2021-06-26 01:03:15.021000,106953.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n286,hnswlib,nmslib/hnswlib,,nn-search,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000000,2021-06-30 22:24:23.000000,2021-06-30 05:17:40.000000,283,103.0,114.0,1572.0,315.0,Header-only C++/python library for fast approximate nearest neighbors.,46.0,26,True,2021-06-30 22:24:23.000000,0.5.2,6.0,hnswlib,,,,,129.0,127.0,https://pypi.org/project/hnswlib,2021-06-30 22:24:23.000000,2.0,33565.0,33565.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n287,Pythran,serge-sans-paille/pythran,,others,https://github.com/serge-sans-paille/pythran,https://github.com/serge-sans-paille/pythran,BSD-3-Clause,2012-05-29 08:02:14.000000,2021-07-01 07:30:36.000000,2021-06-30 07:16:44.000000,147,105.0,582.0,1571.0,3399.0,Ahead of Time compiler for numeric kernels.,55.0,26,True,2021-05-23 08:40:13.000000,0.9.11,48.0,pythran,conda-forge/pythran,,,,80.0,54.0,https://pypi.org/project/pythran,2021-05-23 08:40:13.000000,26.0,22542.0,27019.0,https://anaconda.org/conda-forge/pythran,2021-06-12 21:22:43.374000,170143.0,,,,,2.0,,,,,,,,,,,,,,,,pythran,python-pythran,,,,,\n288,datasketch,ekzhu/datasketch,,data-containers,https://github.com/ekzhu/datasketch,https://github.com/ekzhu/datasketch,MIT,2015-03-20 01:21:46.000000,2021-06-02 06:52:35.000000,2021-06-02 06:48:06.000000,211,23.0,94.0,1526.0,195.0,\"MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble.\",18.0,26,True,2020-12-23 21:01:43.000000,1.5.3,75.0,datasketch,,,,,380.0,294.0,https://pypi.org/project/datasketch,2020-12-23 21:01:43.000000,86.0,276931.0,276931.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,,,,\n289,petastorm,uber/petastorm,,distributed-ml,https://github.com/uber/petastorm,https://github.com/uber/petastorm,Apache-2.0,2018-06-15 23:15:29.000000,2021-06-30 19:28:21.000000,2021-06-29 17:31:15.000000,197,138.0,121.0,1173.0,645.0,Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets..,39.0,26,True,2021-06-24 15:50:55.000000,0.11.1,71.0,petastorm,,,,,34.0,34.0,https://pypi.org/project/petastorm,2021-06-02 18:12:58.000000,0.0,121955.0,121963.0,,,,,,,,2.0,288.0,,,,,,,,,,,,,,,,,,,,,\n290,fancyimpute,iskandr/fancyimpute,,sklearn-utils,https://github.com/iskandr/fancyimpute,https://github.com/iskandr/fancyimpute,Apache-2.0,2015-11-05 23:39:34.000000,2021-06-19 06:16:43.000000,2021-06-18 18:17:55.000000,153,5.0,106.0,974.0,199.0,Multivariate imputation and matrix completion algorithms implemented in Python.,11.0,26,True,2021-06-19 06:16:43.000000,0.6.0,27.0,fancyimpute,,,,['sklearn'],1062.0,1020.0,https://pypi.org/project/fancyimpute,2021-06-19 06:16:43.000000,42.0,16659.0,16659.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n291,Nilearn,nilearn/nilearn,,medical-data,https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000000,2021-07-01 13:25:14.000000,2021-06-29 20:39:56.000000,416,378.0,1235.0,751.0,,Machine learning for NeuroImaging in Python.,173.0,26,True,2021-06-16 14:57:54.000000,0.8.0,37.0,nilearn,conda-forge/nilearn,,,['sklearn'],1389.0,1087.0,https://pypi.org/project/nilearn,2021-06-16 14:52:34.000000,302.0,21581.0,23235.0,https://anaconda.org/conda-forge/nilearn,2021-06-16 19:16:17.369000,102608.0,,,,,2.0,,,,,,,,-3.0,,,,,,,,,,,,,,\n292,Hail,hail-is/hail,,medical-data,https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000000,2021-07-01 14:34:12.000000,2021-07-01 14:34:12.000000,195,55.0,1949.0,728.0,7617.0,Scalable genomic data analysis.,74.0,26,True,2021-06-21 20:27:17.000000,0.2.70,90.0,hail,,,,['spark'],43.0,43.0,https://pypi.org/project/hail,2021-06-21 20:27:17.000000,0.0,9287.0,9287.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n293,zarr,zarr-developers/zarr-python,,data-containers,https://github.com/zarr-developers/zarr-python,https://github.com/zarr-developers/zarr-python,MIT,2015-12-15 14:49:40.000000,2021-06-25 19:02:36.000000,2021-06-24 15:12:05.000000,120,199.0,244.0,726.0,1430.0,\"An implementation of chunked, compressed, N-dimensional arrays for Python.\",44.0,26,True,2021-05-20 14:34:13.000000,2.8.3,37.0,zarr,conda-forge/zarr,,,,813.0,741.0,https://pypi.org/project/zarr,2021-05-20 14:34:13.000000,72.0,45548.0,58496.0,https://anaconda.org/conda-forge/zarr,2021-05-21 03:10:15.230000,802830.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n294,CLTK,cltk/cltk,,nlp,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000000,2021-06-26 07:57:41.000000,2021-06-17 14:44:55.000000,300,128.0,379.0,667.0,3576.0,The Classical Language Toolkit.,111.0,26,True,2021-06-17 14:45:44.000000,1.0.16,186.0,cltk,,,,,239.0,171.0,https://pypi.org/project/cltk,2021-06-17 14:45:44.000000,68.0,2752.0,2752.0,,,,,,,,2.0,22.0,,,,,,,,,,,,,,,,,,,,,\n295,SMAC3,automl/SMAC3,,hyperopt,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-3-Clause,2016-08-17 10:58:05.000000,2021-06-25 13:51:47.000000,2020-10-29 10:14:55.000000,159,77.0,254.0,589.0,1888.0,Sequential Model-based Algorithm Configuration.,30.0,26,True,2021-03-15 08:26:39.000000,0.13.1,29.0,smac,,,,,58.0,,https://pypi.org/project/smac,2020-10-29 10:57:56.000000,58.0,27654.0,27654.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n296,audioread,beetbox/audioread,,audio,https://github.com/beetbox/audioread,https://github.com/beetbox/audioread,MIT,2011-11-08 19:53:18.000000,2021-03-16 02:44:53.632000,2020-10-20 11:22:05.000000,83,31.0,44.0,368.0,232.0,cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python.,20.0,26,True,2020-10-20 11:23:09.000000,2.1.9,25.0,audioread,conda-forge/audioread,,,,6074.0,5488.0,https://pypi.org/project/audioread,2020-10-20 11:23:09.000000,586.0,559059.0,563162.0,https://anaconda.org/conda-forge/audioread,2021-03-16 02:44:53.632000,246185.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n297,Cython BLIS,explosion/cython-blis,,others,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16.000000,2021-03-15 19:42:45.000000,2021-03-15 19:42:37.000000,25,6.0,16.0,170.0,526.0,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,9.0,26,False,2020-12-07 08:56:44.000000,0.7.4,35.0,blis,conda-forge/cython-blis,,,,11745.0,11355.0,https://pypi.org/project/blis,2020-12-07 08:56:44.000000,390.0,2456209.0,2490087.0,https://anaconda.org/conda-forge/cython-blis,2021-01-31 09:13:47.685000,948599.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n298,spleeter,deezer/spleeter,,audio,https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000000,2021-06-29 20:46:58.000000,2021-06-02 14:43:25.000000,1761,93.0,471.0,16752.0,463.0,Deezer source separation library including pretrained models.,17.0,25,True,2021-04-15 15:05:07.000000,2.2.2,33.0,spleeter,conda-forge/spleeter,,,['tensorflow'],0.0,,https://pypi.org/project/spleeter,2021-04-15 15:05:07.000000,0.0,8146.0,64000.0,https://anaconda.org/conda-forge/spleeter,2020-06-30 14:33:43.220000,54393.0,,,,,2.0,1115835.0,,,,,,,,,,,,,,,,,,,,,\n299,Ludwig,ludwig-ai/ludwig,,ml-frameworks,https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000000,2021-07-01 03:37:23.000000,2021-06-28 14:04:24.000000,915,121.0,440.0,7743.0,2165.0,Ludwig is a toolbox that allows to train and evaluate deep learning models without the need to write code.,92.0,25,True,2021-06-15 04:22:19.000000,0.4,19.0,ludwig,,,,['tensorflow'],101.0,89.0,https://pypi.org/project/ludwig,2021-06-15 04:19:55.000000,12.0,2142.0,2142.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n300,pysc2,deepmind/pysc2,,others,https://github.com/deepmind/pysc2,https://github.com/deepmind/pysc2,Apache-2.0,2017-07-25 18:16:57.000000,2020-07-29 16:22:31.000000,2019-09-27 15:23:22.000000,1103,57.0,203.0,7270.0,513.0,StarCraft II Learning Environment.,34.0,25,False,2019-09-27 15:48:01.000000,3.0.0,7.0,pysc2,,,,,302.0,262.0,https://pypi.org/project/pysc2,2019-09-27 15:48:01.000000,40.0,1376.0,1946.0,,,,,,,,2.0,26823.0,,,,,,,,,,,,,,,,,,,,,\n301,Milvus,milvus-io/milvus,,nn-search,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000000,2021-07-01 12:33:17.000000,2021-07-01 10:56:17.000000,923,256.0,2380.0,6701.0,7397.0,\"An open source vector database powered by Faiss, NMSLIB and Annoy.\",144.0,25,True,2021-06-16 06:50:46.000000,1.1.1,50.0,pymilvus,,milvusdb/milvus,,,6.0,,https://pypi.org/project/pymilvus,2021-06-28 10:17:14.000000,6.0,18224.0,36048.0,,,,https://hub.docker.com/r/milvusdb/milvus,2021-06-28 10:04:35.567321,12.0,392136.0,2.0,,,,,,,,,,,,,,,,,,,,,,\n302,PaddleHub,PaddlePaddle/PaddleHub,,others,https://github.com/PaddlePaddle/PaddleHub,https://github.com/PaddlePaddle/PaddleHub,Apache-2.0,2018-12-21 06:00:48.000000,2021-07-01 08:07:29.000000,2021-07-01 08:07:28.000000,1313,271.0,589.0,6632.0,,\"Awesome pre-trained models toolkit based on PaddlePaddle.(300+ models including Image, Text, Audio and Video with Easy..\",39.0,25,True,2021-04-27 09:56:48.000000,2.1.0,45.0,paddlehub,,,,['paddle'],307.0,307.0,https://pypi.org/project/paddlehub,2021-04-27 09:56:48.000000,0.0,3498.0,3516.0,,,,,,,,2.0,505.0,,,,,,,,,,,,,,,,,,,,,\n303,Vaex,vaexio/vaex,,data-containers,https://github.com/vaexio/vaex,https://github.com/vaexio/vaex,MIT,2014-09-27 09:44:42.000000,2021-07-01 12:52:45.000000,2021-06-30 13:23:24.000000,486,324.0,495.0,6410.0,3146.0,\"Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualize and explore big tabular data at a billion..\",45.0,25,True,2021-06-17 14:04:57.000000,4.3.0,53.0,vaex,conda-forge/vaex,,,,4.0,,https://pypi.org/project/vaex,2021-06-17 14:04:57.000000,4.0,12684.0,14590.0,https://anaconda.org/conda-forge/vaex,2021-06-18 07:36:59.502000,108577.0,,,,,3.0,209.0,,,,,,,,,,,,,,,,,,,,,\n304,Trax,google/trax,,others,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000000,2021-06-22 20:59:21.000000,2021-06-07 22:03:31.000000,606,77.0,117.0,6274.0,1510.0,Trax Deep Learning with Clear Code and Speed.,70.0,25,True,2021-05-21 19:54:43.000000,1.3.9,22.0,trax,,,,,31.0,31.0,https://pypi.org/project/trax,2021-05-21 19:54:03.000000,,5132.0,5132.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n305,PyText,facebookresearch/pytext,,nlp,https://github.com/facebookresearch/pytext,https://github.com/facebookresearch/pytext,BSD-3-Clause,2018-07-31 23:40:46.000000,2021-06-29 19:00:26.000000,2021-06-29 19:00:22.000000,804,145.0,74.0,6210.0,1603.0,A natural language modeling framework based on PyTorch.,198.0,25,True,2020-06-08 23:30:58.000000,0.3.3,13.0,pytext-nlp,,,,['pytorch'],87.0,86.0,https://pypi.org/project/pytext-nlp,2020-06-08 22:49:33.000000,1.0,477.0,484.0,,,,,,,,2.0,242.0,,,,,,,,,,,,,,,,,,,,,\n306,carla,carla-simulator/carla,,others,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000000,2021-07-01 13:28:23.000000,2021-04-21 21:38:33.000000,1851,390.0,2888.0,6141.0,4761.0,Open-source simulator for autonomous driving research.,122.0,25,True,2020-12-23 07:08:35.000000,0.9.11,22.0,carla,,,,,78.0,74.0,https://pypi.org/project/carla,2019-04-28 17:45:24.000000,4.0,760.0,760.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n307,stanza,stanfordnlp/stanza,,nlp,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56.000000,2021-07-01 05:40:42.000000,2021-06-08 22:32:56.000000,706,62.0,464.0,5492.0,,Official Stanford NLP Python Library for Many Human Languages.,38.0,25,True,2021-06-17 17:12:31.000000,1.2.1,11.0,stanza,stanfordnlp/stanza,,,,538.0,534.0,https://pypi.org/project/stanza,2021-06-08 21:17:38.000000,4.0,45208.0,45447.0,https://anaconda.org/stanfordnlp/stanza,2021-06-08 23:29:51.684000,3825.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n308,keras-rl,keras-rl/keras-rl,,reinforcement-learning,https://github.com/keras-rl/keras-rl,https://github.com/keras-rl/keras-rl,MIT,2016-07-02 15:53:12.000000,2020-11-20 07:32:13.000000,2019-11-11 22:14:54.000000,1316,43.0,218.0,5073.0,308.0,Deep Reinforcement Learning for Keras.,40.0,25,False,2018-06-01 07:52:24.000000,0.4.2,8.0,keras-rl,,,,['tensorflow'],603.0,501.0,https://pypi.org/project/keras-rl,2018-06-01 07:52:24.000000,102.0,2139.0,2139.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n309,Edward,blei-lab/edward,,probabilistics,https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05.000000,2019-10-22 20:30:48.000000,2018-07-25 01:28:08.000000,767,212.0,327.0,4639.0,1796.0,\"A probabilistic programming language in TensorFlow. Deep generative models, variational inference.\",87.0,25,False,2018-01-22 06:03:37.000000,1.3.5,28.0,edward,,,,['tensorflow'],309.0,231.0,https://pypi.org/project/edward,2018-01-22 06:03:05.000000,78.0,2282.0,2282.0,,,,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,,,,\n310,Great Expectations,great-expectations/great_expectations,,data-pipelines,https://github.com/great-expectations/great_expectations,https://github.com/great-expectations/great_expectations,Apache-2.0,2017-09-11 00:18:46.000000,2021-07-01 15:11:25.000000,2021-06-30 20:56:29.000000,590,108.0,798.0,4627.0,,Always know what to expect from your data.,204.0,25,True,2021-06-30 21:49:41.000000,0.13.21,112.0,great_expectations,,,,,6.0,,https://pypi.org/project/great_expectations,2021-06-30 21:34:01.000000,6.0,935535.0,935535.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n311,Augmentor,mdbloice/Augmentor,,image,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55.000000,2020-11-10 05:20:01.000000,2020-03-09 11:32:02.000000,805,118.0,67.0,4464.0,511.0,Image augmentation library in Python for machine learning.,22.0,25,False,2020-01-17 11:59:53.000000,0.2.8,20.0,Augmentor,,,,,372.0,330.0,https://pypi.org/project/Augmentor,2020-01-17 11:59:53.000000,42.0,9336.0,9336.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n312,textgenrnn,minimaxir/textgenrnn,,nlp,https://github.com/minimaxir/textgenrnn,https://github.com/minimaxir/textgenrnn,MIT,2017-08-07 02:13:37.000000,2021-06-18 06:05:47.000000,2020-07-14 02:41:10.000000,682,117.0,85.0,4441.0,174.0,Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines..,19.0,25,True,2020-02-03 01:07:00.000000,2.0.0,14.0,textgenrnn,,,,['tensorflow'],943.0,915.0,https://pypi.org/project/textgenrnn,2020-02-02 21:16:15.000000,28.0,2683.0,2696.0,,,,,,,,2.0,518.0,,,,,,,,,,,,,,,,,,,,,\n313,VisualDL,PaddlePaddle/VisualDL,,ml-experiments,https://github.com/PaddlePaddle/VisualDL,https://github.com/PaddlePaddle/VisualDL,Apache-2.0,2017-12-20 12:34:31.000000,2021-06-21 06:09:59.000000,2021-06-21 06:09:59.000000,559,35.0,325.0,4145.0,,Deep Learning Visualization Toolkit.,30.0,25,True,2021-05-24 15:45:53.000000,2.2.0,32.0,visualdl,,,,['paddle'],432.0,422.0,https://pypi.org/project/visualdl,2021-05-23 12:50:12.000000,10.0,20063.0,20073.0,,,,,,,,3.0,130.0,,,,,,,,,,,,,,,,,,,,,\n314,BigDL,intel-analytics/BigDL,,distributed-ml,https://github.com/intel-analytics/BigDL,https://github.com/intel-analytics/BigDL,Apache-2.0,2016-08-29 07:59:50.000000,2021-07-01 09:27:11.000000,2021-06-30 12:30:14.000000,906,185.0,730.0,3740.0,2670.0,BigDL: Distributed Deep Learning Framework for Apache Spark.,74.0,25,True,2021-04-21 01:53:25.000000,0.12.2,39.0,bigdl,,,,,32.0,26.0,https://pypi.org/project/bigdl,2021-04-07 05:17:55.000000,6.0,3367.0,3367.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,com.intel.analytics.bigdl:bigdl-SPARK_2.4,https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4,2021-04-20 01:33:14.000000,0.0,\n315,mlpack,mlpack/mlpack,,ml-frameworks,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59.000000,2021-07-01 12:09:24.000000,2021-06-28 21:20:22.000000,1347,147.0,1260.0,3721.0,26523.0,mlpack: a scalable C++ machine learning library --.,274.0,25,True,2020-10-28 18:28:47.000000,3.4.2,40.0,mlpack,conda-forge/mlpack,,,,0.0,,https://pypi.org/project/mlpack,2020-10-28 18:28:47.000000,0.0,1216.0,3426.0,https://anaconda.org/conda-forge/mlpack,2020-10-29 09:35:18.918000,79595.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n316,TensorFlowOnSpark,yahoo/TensorFlowOnSpark,,distributed-ml,https://github.com/yahoo/TensorFlowOnSpark,https://github.com/yahoo/TensorFlowOnSpark,Apache-2.0,2017-01-20 18:15:57.000000,2021-06-24 20:48:44.000000,2021-06-24 20:48:29.000000,945,12.0,341.0,3689.0,625.0,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,33.0,25,True,2021-05-25 22:25:31.000000,2.2.4,31.0,tensorflowonspark,,,,\"['tensorflow', 'spark']\",5.0,,https://pypi.org/project/tensorflowonspark,2021-05-25 20:44:29.000000,5.0,106159.0,106159.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n317,lightfm,lyst/lightfm,,recommender-systems,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00.000000,2021-03-25 21:33:37.000000,2021-02-07 21:16:06.000000,591,80.0,342.0,3676.0,428.0,\"A Python implementation of LightFM, a hybrid recommendation algorithm.\",44.0,25,True,2020-11-27 19:48:30.000000,1.16,14.0,lightfm,conda-forge/lightfm,,,,553.0,497.0,https://pypi.org/project/lightfm,2020-11-27 19:55:08.000000,56.0,154263.0,156577.0,https://anaconda.org/conda-forge/lightfm,2021-02-07 22:19:58.097000,97191.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n318,PML,KevinMusgrave/pytorch-metric-learning,,pytorch-utils,https://github.com/KevinMusgrave/pytorch-metric-learning,https://github.com/KevinMusgrave/pytorch-metric-learning,MIT,2019-10-23 17:20:35.000000,2021-06-30 00:39:18.000000,2021-06-11 08:16:56.000000,430,44.0,229.0,3358.0,705.0,\"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.\",19.0,25,True,2021-05-10 02:52:47.000000,0.9.99,160.0,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,,['pytorch'],99.0,99.0,https://pypi.org/project/pytorch-metric-learning,2021-06-30 00:39:18.000000,0.0,12423.0,12590.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2021-05-10 03:54:12.379000,3013.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n319,DoWhy,Microsoft/dowhy,,interpretability,https://github.com/microsoft/dowhy,https://github.com/microsoft/dowhy,MIT,2018-05-31 13:07:04.000000,2021-06-30 21:52:47.000000,2021-06-10 06:31:16.000000,450,28.0,95.0,3023.0,454.0,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,43.0,25,True,2021-03-03 03:44:46.000000,0.6,6.0,dowhy,conda-forge/dowhy,,,,47.0,47.0,https://pypi.org/project/dowhy,2021-03-03 03:45:16.000000,0.0,35184.0,35355.0,https://anaconda.org/conda-forge/dowhy,2021-04-28 19:20:04.698000,2406.0,,,,,2.0,23.0,,,,,,,,,,,,,,,,,,,,,\n320,Neural Network Libraries,sony/nnabla,,ml-frameworks,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10.000000,2021-07-01 05:09:42.000000,2021-07-01 05:07:31.000000,300,29.0,32.0,2468.0,2716.0,Neural Network Libraries.,59.0,25,True,2021-06-27 06:20:56.000000,1.20.1,57.0,nnabla,,,,,34.0,,https://pypi.org/project/nnabla,2021-06-26 22:40:20.000000,34.0,4775.0,4785.0,,,,,,,,3.0,523.0,,,,,,,,,,,,,,,,,,,,,\n321,neuralcoref,huggingface/neuralcoref,,nlp,https://github.com/huggingface/neuralcoref,https://github.com/huggingface/neuralcoref,MIT,2017-07-03 13:04:16.000000,2021-06-22 10:51:48.000000,2021-06-22 10:51:48.000000,409,50.0,224.0,2322.0,116.0,Fast Coreference Resolution in spaCy with Neural Networks.,21.0,25,True,2019-04-08 11:28:27.000000,4.0.0,5.0,neuralcoref,conda-forge/neuralcoref,,,,377.0,359.0,https://pypi.org/project/neuralcoref,2019-04-08 09:56:00.000000,18.0,8410.0,8927.0,https://anaconda.org/conda-forge/neuralcoref,2020-02-21 22:10:40.453000,8725.0,,,,,2.0,217.0,,,,,,,,,,,,,,,,,,,,,\n322,Core ML Tools,apple/coremltools,,model-serialisation,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000000,2021-07-01 13:59:17.000000,2021-06-24 16:49:19.000000,370,377.0,363.0,2276.0,,\"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.\",113.0,25,True,2021-02-05 02:07:15.000000,4.1,29.0,coremltools,,,,,819.0,553.0,https://pypi.org/project/coremltools,2021-06-08 21:08:24.000000,266.0,60898.0,60955.0,,,,,,,,2.0,2626.0,,,,,,,,,,,,,,,,,,,,,\n323,nlpaug,makcedward/nlpaug,,nlp,https://github.com/makcedward/nlpaug,https://github.com/makcedward/nlpaug,MIT,2019-03-21 03:00:17.000000,2021-06-30 16:28:08.000000,2021-06-20 21:17:13.000000,249,27.0,102.0,2156.0,592.0,Data augmentation for NLP.,15.0,25,True,2021-06-20 22:18:56.000000,1.1.4,30.0,nlpaug,,,,,148.0,146.0,https://pypi.org/project/nlpaug,2021-06-20 21:22:32.000000,2.0,22935.0,22935.0,,,,,,,,2.0,,,,,,,,,,,,,,,True,,,,,,,\n324,scikit-plot,reiinakano/scikit-plot,,interpretability,https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59.000000,2021-02-26 14:37:45.000000,2018-08-19 12:37:47.000000,248,21.0,39.0,2100.0,130.0,An intuitive library to add plotting functionality to scikit-learn objects.,13.0,25,False,2018-08-19 12:21:01.000000,0.3.7,27.0,scikit-plot,conda-forge/scikit-plot,,,['sklearn'],1141.0,1087.0,https://pypi.org/project/scikit-plot,2018-08-19 12:18:46.000000,54.0,164817.0,166730.0,https://anaconda.org/conda-forge/scikit-plot,2019-06-05 14:23:59.043000,91849.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n325,Hyperas,maxpumperla/hyperas,,hyperopt,https://github.com/maxpumperla/hyperas,https://github.com/maxpumperla/hyperas,MIT,2016-02-19 14:45:10.000000,2020-12-22 08:31:48.000000,2020-12-22 08:31:47.000000,305,88.0,158.0,2087.0,209.0,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,21.0,25,True,2019-02-28 09:16:54.000000,0.4.1,9.0,hyperas,,,,['tensorflow'],247.0,205.0,https://pypi.org/project/hyperas,2019-02-28 09:16:54.000000,42.0,42912.0,42912.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n326,causalml,uber/causalml,,others,https://github.com/uber/causalml,https://github.com/uber/causalml,Apache-2.0,2019-07-09 02:08:58.000000,2021-06-16 18:38:04.000000,2021-06-08 14:15:33.000000,304,39.0,150.0,2073.0,319.0,Uplift modeling and causal inference with machine learning algorithms.,27.0,25,True,2021-02-19 20:58:43.000000,0.10.0,13.0,causalml,,,,,27.0,27.0,https://pypi.org/project/causalml,2021-02-19 20:32:15.000000,0.0,31053.0,31053.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n327,TextDistance,life4/textdistance,,nlp,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10.000000,2021-06-22 10:43:43.000000,2021-06-22 10:43:43.000000,165,9.0,,1997.0,306.0,\"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..\",10.0,25,True,2021-01-29 09:04:46.000000,.4.2.1,21.0,textdistance,conda-forge/textdistance,,,,744.0,716.0,https://pypi.org/project/textdistance,2021-01-29 09:03:27.000000,28.0,276293.0,277403.0,https://anaconda.org/conda-forge/textdistance,2021-01-29 15:41:57.288000,42141.0,,,,,2.0,105.0,,,,,,,,,,,,,,,,,,,,,\n328,PyFunctional,EntilZha/PyFunctional,,data-pipelines,https://github.com/EntilZha/PyFunctional,https://github.com/EntilZha/PyFunctional,MIT,2015-02-05 17:17:51.000000,2021-03-03 14:08:08.000000,2021-03-03 14:08:00.000000,102,4.0,116.0,1867.0,517.0,Python library for creating data pipelines with chain functional programming.,23.0,25,True,2021-01-12 19:21:07.000000,1.4.3,14.0,pyfunctional,,,,,301.0,301.0,https://pypi.org/project/pyfunctional,2021-01-12 19:14:48.000000,0.0,77465.0,77465.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n329,polyglot,aboSamoor/polyglot,,nlp,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,GPL-3.0,2014-06-30 02:07:45.000000,2021-04-28 03:41:03.000000,2020-09-22 22:35:28.000000,296,132.0,64.0,1860.0,271.0,Multilingual text (NLP) processing toolkit.,26.0,25,False,2016-07-03 20:05:42.000000,16.7.4,8.0,polyglot,,,,,650.0,520.0,https://pypi.org/project/polyglot,2016-07-03 20:05:42.000000,130.0,83442.0,83442.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n330,pgmpy,pgmpy/pgmpy,,probabilistics,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000000,2021-07-01 15:02:23.000000,2021-06-30 09:12:06.000000,585,224.0,518.0,1825.0,6.0,Python Library for learning (Structure and Parameter) and inference (Statistical and Causal) in Bayesian Networks.,95.0,25,True,2021-06-30 09:15:38.000000,0.1.15,14.0,pgmpy,,,,,254.0,242.0,https://pypi.org/project/pgmpy,2021-06-30 08:05:07.000000,12.0,27092.0,27097.0,,,,,,,,3.0,77.0,,,,,,,,,,,,,,,,,,,,,\n331,deepface,serengil/deepface,,image,https://github.com/serengil/deepface,https://github.com/serengil/deepface,MIT,2020-02-08 20:42:28.000000,2021-07-01 14:17:46.000000,2021-07-01 14:17:46.000000,405,2.0,253.0,1769.0,569.0,\"A Lightweight Deep Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Framework for Python.\",14.0,25,True,2021-06-26 21:55:10.000000,0.0.62,61.0,deepface,,,,,167.0,167.0,https://pypi.org/project/deepface,2021-06-26 21:55:10.000000,0.0,11198.0,11198.0,,,,,,,,2.0,,,,,,,,,,,,,,,True,,,,,,,\n332,tslearn,tslearn-team/tslearn,,time-series-data,https://github.com/tslearn-team/tslearn,https://github.com/tslearn-team/tslearn,BSD-2-Clause,2017-05-04 13:08:13.000000,2021-06-18 09:57:39.000000,2021-06-18 09:57:39.000000,235,69.0,171.0,1689.0,,A machine learning toolkit dedicated to time-series data.,32.0,25,True,2021-05-17 21:36:57.000000,0.5.1.0,93.0,tslearn,conda-forge/tslearn,,,['sklearn'],282.0,260.0,https://pypi.org/project/tslearn,2021-05-17 21:47:34.000000,22.0,99354.0,104875.0,https://anaconda.org/conda-forge/tslearn,2021-05-18 05:23:58.496000,220847.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n333,HyperTools,ContextLab/hypertools,,data-viz,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25.000000,2021-06-15 19:22:37.000000,2021-06-15 18:54:54.000000,154,66.0,122.0,1649.0,1597.0,A Python toolbox for gaining geometric insights into high-dimensional data.,21.0,25,True,2021-06-15 19:22:37.000000,0.7.0,20.0,hypertools,,,,,137.0,128.0,https://pypi.org/project/hypertools,2021-06-15 19:22:37.000000,9.0,829.0,829.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n334,Pandaral·lel,nalepae/pandarallel,,data-containers,https://github.com/nalepae/pandarallel,https://github.com/nalepae/pandarallel,BSD-3-Clause,2019-03-10 11:58:29.000000,2021-05-06 18:57:22.000000,2021-02-04 21:27:26.000000,108,71.0,57.0,1628.0,114.0,A simple and efficient tool to parallelize Pandas operations on all availableCPUs.,14.0,25,True,2021-02-04 21:35:01.000000,1.5.2,29.0,pandarallel,,,,\"['pandas', 'jupyter']\",245.0,245.0,https://pypi.org/project/pandarallel,2021-02-04 21:35:01.000000,0.0,131979.0,131979.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n335,scattertext,JasonKessler/scattertext,,nlp,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12.000000,2021-06-21 13:24:16.401000,2021-06-20 23:25:51.000000,224,17.0,64.0,1618.0,350.0,Beautiful visualizations of how language differs among document types.,11.0,25,True,2021-06-20 23:16:10.000000,0.1.3,132.0,scattertext,conda-forge/scattertext,,,,210.0,194.0,https://pypi.org/project/scattertext,2021-06-20 23:16:10.000000,16.0,3637.0,4751.0,https://anaconda.org/conda-forge/scattertext,2021-06-21 13:24:16.401000,52380.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n336,TextAttack,QData/TextAttack,,adversarial,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000000,2021-06-30 10:58:16.000000,2021-06-25 12:47:58.000000,183,48.0,89.0,1529.0,2065.0,\"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP..\",36.0,25,True,2021-06-25 12:50:33.000000,0.3.0,38.0,textattack,,,,,26.0,26.0,https://pypi.org/project/textattack,2021-06-25 12:50:33.000000,0.0,2735.0,2735.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n337,Elephas,maxpumperla/elephas,,distributed-ml,https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19.000000,2021-04-23 12:34:45.000000,2021-04-21 22:10:18.000000,290,23.0,123.0,1486.0,496.0,Distributed Deep learning with Keras & Spark.,27.0,25,True,2021-04-23 12:34:45.000000,2.1.0,21.0,elephas,,,,\"['keras', 'spark']\",45.0,42.0,https://pypi.org/project/elephas,2021-04-21 22:11:22.000000,3.0,18007.0,18007.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n338,jellyfish,jamesturk/jellyfish,,nlp,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,BSD-2-Clause,2010-07-09 20:41:11.000000,2021-04-29 19:45:29.000000,2021-04-29 19:45:29.000000,129,12.0,89.0,1481.0,,a python library for doing approximate and phonetic matching of strings.,23.0,25,True,2020-05-21 20:37:01.000000,0.8.2,27.0,jellyfish,conda-forge/jellyfish,,,,3177.0,2531.0,https://pypi.org/project/jellyfish,2020-05-21 20:37:01.000000,646.0,1274356.0,1276690.0,https://anaconda.org/conda-forge/jellyfish,2021-01-08 15:04:47.681000,135377.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n339,IB-insync,erdewit/ib_insync,,financial-data,https://github.com/erdewit/ib_insync,https://github.com/erdewit/ib_insync,BSD-2-Clause,2017-07-12 12:09:24.000000,2021-06-11 11:52:15.000000,2021-06-11 11:52:11.000000,431,8.0,319.0,1463.0,591.0,Python sync/async framework for Interactive Brokers API.,28.0,25,True,2021-04-26 18:22:55.000000,0.9.66,91.0,ib_insync,conda-forge/ib-insync,,,,12.0,,https://pypi.org/project/ib_insync,2021-04-26 18:22:55.000000,12.0,8539.0,8971.0,https://anaconda.org/conda-forge/ib-insync,2021-02-25 02:28:19.625000,10374.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n340,chainercv,chainer/chainercv,,image,https://github.com/chainer/chainercv,https://github.com/chainer/chainercv,MIT,2017-02-13 04:15:10.000000,2020-02-03 01:27:17.000000,2020-01-07 11:48:31.000000,318,54.0,168.0,1457.0,4930.0,ChainerCV: a Library for Deep Learning in Computer Vision.,39.0,25,False,2019-06-12 11:55:02.000000,0.13.1,24.0,chainercv,,,,,306.0,246.0,https://pypi.org/project/chainercv,2019-06-12 11:55:40.000000,60.0,6996.0,6996.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n341,Fairness 360,Trusted-AI/AIF360,,interpretability,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15.000000,2021-06-15 04:04:28.000000,2021-06-15 04:04:27.000000,457,48.0,55.0,1428.0,333.0,\"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..\",44.0,25,True,2021-03-04 18:11:34.000000,0.4.0,9.0,aif360,,,,,106.0,102.0,https://pypi.org/project/aif360,2021-03-04 18:11:34.000000,4.0,6454.0,6454.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n342,ViZDoom,mwydmuch/ViZDoom,,reinforcement-learning,https://github.com/mwydmuch/ViZDoom,https://github.com/mwydmuch/ViZDoom,MIT,2015-06-26 18:38:23.000000,2021-06-16 08:43:25.000000,2021-06-16 08:42:22.000000,298,89.0,329.0,1218.0,1471.0,Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information.,44.0,25,True,2020-10-29 15:56:20.000000,1.1.8,19.0,vizdoom,,,,,140.0,116.0,https://pypi.org/project/vizdoom,2020-10-29 15:56:20.000000,24.0,1159.0,1331.0,,,,,,,,2.0,11048.0,,,,,,,,,,,,,,,,,,,,,\n343,PyCUDA,inducer/pycuda,,gpu-utilities,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000000,2021-06-25 18:49:21.000000,2021-06-25 18:49:20.000000,238,55.0,139.0,1171.0,,\"CUDA integration for Python, plus shiny features.\",73.0,25,True,2019-08-12 04:15:37.000000,2019.1.2,47.0,pycuda,,,,,1192.0,900.0,https://pypi.org/project/pycuda,2021-04-03 22:28:54.000000,292.0,30755.0,30755.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n344,shapash,MAIF/shapash,,interpretability,https://github.com/MAIF/shapash,https://github.com/MAIF/shapash,Apache-2.0,2020-04-29 07:34:23.000000,2021-06-29 18:19:30.000000,2021-06-29 13:42:46.000000,160,7.0,63.0,1098.0,790.0,Shapash makes Machine Learning models transparent and understandable by everyone.,22.0,25,True,2021-06-18 14:03:50.000000,1.4.2,13.0,shapash,,,,['jupyter'],21.0,21.0,https://pypi.org/project/shapash,2021-06-18 14:03:50.000000,,13738.0,13738.0,,,,,,,,2.0,,,,,,,,,,,,,,,True,,,,,,,\n345,bt,pmorissette/bt,,financial-data,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28.000000,2021-05-15 18:58:08.000000,2021-05-15 18:58:08.000000,290,33.0,210.0,1096.0,438.0,bt - flexible backtesting for Python.,24.0,25,True,2021-04-21 02:52:26.000000,0.2.9,25.0,bt,,,,,101.0,61.0,https://pypi.org/project/bt,2021-04-21 02:52:26.000000,40.0,9278.0,9278.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n346,ArcGIS API,Esri/arcgis-python-api,,geospatial-data,https://github.com/Esri/arcgis-python-api,https://github.com/Esri/arcgis-python-api,Apache-2.0,2016-03-16 01:09:14.000000,2021-07-01 14:39:42.000000,2021-07-01 14:05:10.000000,752,118.0,233.0,1062.0,3182.0,Documentation and samples for ArcGIS API for Python.,68.0,25,True,2021-04-12 03:08:40.000000,1.8.5,29.0,arcgis,,esridocker/arcgis-api-python-notebook,,,20.0,,https://pypi.org/project/arcgis,2021-04-12 03:28:09.000000,20.0,32898.0,32966.0,,,,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,2020-03-06 00:53:45.164342,32.0,4390.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n347,spacy-transformers,explosion/spacy-transformers,,nlp,https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000000,2021-06-14 10:39:09.000000,2021-06-14 10:22:37.000000,113,48.0,,973.0,1330.0,\"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.\",15.0,25,True,2021-04-21 07:12:29.000000,1.0.2,45.0,spacy-transformers,,,,['spacy'],204.0,198.0,https://pypi.org/project/spacy-transformers,2021-06-14 10:39:09.000000,6.0,46219.0,46219.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n348,bcolz,Blosc/bcolz,,data-containers,https://github.com/Blosc/bcolz,https://github.com/Blosc/bcolz,BSD-3-Clause,2010-08-18 15:27:02.000000,2021-04-02 08:59:38.000000,2020-09-10 12:12:45.000000,118,126.0,122.0,922.0,1280.0,A columnar data container that can be compressed.,33.0,25,True,2018-04-13 07:44:26.000000,1.2.1,23.0,bcolz,conda-forge/bcolz,,,,2575.0,1607.0,https://pypi.org/project/bcolz,2018-04-13 07:44:26.000000,968.0,27050.0,31794.0,https://anaconda.org/conda-forge/bcolz,2019-11-05 21:09:48.045000,251459.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n349,ffn,pmorissette/ffn,,financial-data,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09.000000,2021-05-15 18:59:42.000000,2021-04-24 00:58:10.000000,195,18.0,73.0,881.0,351.0,ffn - a financial function library for Python.,26.0,25,True,2021-04-21 02:47:21.000000,0.3.6,27.0,ffn,,,,,170.0,128.0,https://pypi.org/project/ffn,2021-04-21 02:47:21.000000,42.0,20274.0,20274.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n350,kmodes,nicodv/kmodes,,others,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40.000000,2021-03-07 06:05:41.000000,2021-03-07 06:05:39.000000,347,20.0,112.0,874.0,462.0,\"Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data.\",18.0,25,True,2021-02-13 03:34:23.000000,0.11.0,13.0,kmodes,,,,,665.0,639.0,https://pypi.org/project/kmodes,2021-02-13 03:26:34.000000,26.0,132920.0,132920.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n351,ktrain,amaiya/ktrain,,ml-frameworks,https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39.000000,2021-06-28 14:14:44.000000,2021-06-23 22:06:55.000000,208,10.0,342.0,844.0,2345.0,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,12.0,25,True,2021-06-23 22:08:14.000000,0.26.4,152.0,ktrain,,,,['tensorflow'],189.0,187.0,https://pypi.org/project/ktrain,2021-06-23 22:07:39.000000,2.0,21492.0,21492.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n352,empyrical,quantopian/empyrical,,financial-data,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52.000000,2020-10-14 13:28:13.625000,2020-10-14 13:22:39.000000,266,27.0,26.0,802.0,167.0,Common financial risk and performance metrics. Used by zipline and pyfolio.,22.0,25,True,2020-10-13 21:29:19.000000,0.5.5,21.0,empyrical,conda-forge/empyrical,,,,873.0,651.0,https://pypi.org/project/empyrical,2020-10-13 21:29:19.000000,222.0,50167.0,50458.0,https://anaconda.org/conda-forge/empyrical,2020-10-14 13:28:13.625000,11962.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n353,pythreejs,jupyter-widgets/pythreejs,,data-viz,https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,BSD-3-Clause,2013-12-23 17:02:11.000000,2021-03-02 13:32:39.505000,2021-02-26 14:01:59.000000,162,63.0,142.0,740.0,1659.0,A Jupyter - Three.js bridge.,27.0,25,True,2021-02-26 14:01:21.000000,2.3.0,43.0,pythreejs,conda-forge/pythreejs,,,['jupyter'],51.0,17.0,https://pypi.org/project/pythreejs,2021-02-26 14:01:21.000000,26.0,31646.0,43909.0,https://anaconda.org/conda-forge/pythreejs,2021-03-02 13:32:39.505000,313373.0,,,,,3.0,,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,2021-02-26 13:59:06.062000,8.0,7209.0,,,,,,,,,,,,,,,\n354,dask-ml,dask/dask-ml,,distributed-ml,https://github.com/dask/dask-ml,https://github.com/dask/dask-ml,BSD-3-Clause,2017-06-15 15:56:06.000000,2021-06-01 22:14:49.000000,2021-05-23 16:30:58.000000,197,200.0,222.0,726.0,,Scalable Machine Learning with Dask.,65.0,25,True,2021-05-03 13:02:34.000000,1.9.0,28.0,dask-ml,conda-forge/dask-ml,,,,466.0,424.0,https://pypi.org/project/dask-ml,2021-05-03 13:02:34.000000,42.0,80356.0,85350.0,https://anaconda.org/conda-forge/dask-ml,2021-05-03 15:21:05.642000,224755.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n355,pyjanitor,pyjanitor-devs/pyjanitor,,others,https://github.com/pyjanitor-devs/pyjanitor,https://github.com/pyjanitor-devs/pyjanitor,MIT,2018-03-04 22:43:33.000000,2021-07-01 00:53:59.000000,2021-07-01 00:53:59.000000,123,101.0,295.0,690.0,1162.0,Clean APIs for data cleaning. Python implementation of R package Janitor.,89.0,25,True,2021-02-25 17:30:52.000000,0.20.13,49.0,pyjanitor,conda-forge/pyjanitor,,,,106.0,102.0,https://pypi.org/project/pyjanitor,2021-02-25 17:30:52.000000,4.0,10874.0,13197.0,https://anaconda.org/conda-forge/pyjanitor,2021-03-25 12:03:18.871000,92926.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n356,mahotas,luispedro/mahotas,,image,https://github.com/luispedro/mahotas,https://github.com/luispedro/mahotas,MIT,2010-01-31 00:13:06.000000,2021-05-31 13:33:21.000000,2021-05-31 13:33:21.000000,132,16.0,58.0,688.0,1280.0,Computer Vision in Python.,31.0,25,True,2020-08-16 17:22:48.000000,1.4.11,57.0,mahotas,conda-forge/mahotas,,,,845.0,655.0,https://pypi.org/project/mahotas,2020-08-16 17:22:48.000000,190.0,31385.0,35881.0,https://anaconda.org/conda-forge/mahotas,2021-01-22 05:47:20.379000,287766.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n357,PDPbox,SauceCat/PDPbox,,data-viz,https://github.com/SauceCat/PDPbox,https://github.com/SauceCat/PDPbox,MIT,2017-06-26 08:01:54.000000,2021-06-24 15:32:01.000000,2021-03-14 16:01:01.000000,89,19.0,38.0,579.0,227.0,python partial dependence plot toolbox.,7.0,25,True,2021-03-14 16:21:17.000000,0.2.1,3.0,pdpbox,conda-forge/pdpbox,,,,432.0,398.0,https://pypi.org/project/pdpbox,2021-03-14 16:21:17.000000,34.0,66140.0,66473.0,https://anaconda.org/conda-forge/pdpbox,2021-03-14 19:37:51.465000,7997.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n358,tensorflow-upstream,ROCmSoftwarePlatform/tensorflow-upstream,,ml-frameworks,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,Apache-2.0,2018-04-09 21:24:50.000000,2021-07-01 14:36:08.000000,2021-07-01 14:07:59.000000,65,55.0,244.0,563.0,79524.0,TensorFlow ROCm port.,3734.0,25,True,2021-05-21 16:17:54.000000,2.4.3,66.0,tensorflow-rocm,,,,['tensorflow'],,,https://pypi.org/project/tensorflow-rocm,2021-05-21 16:17:54.000000,,1618.0,1618.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,,,,\n359,mpi4py,mpi4py/mpi4py,,distributed-ml,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-3-Clause,2013-09-05 14:44:25.000000,2021-07-01 06:41:48.000000,2021-06-02 16:28:21.000000,66,8.0,23.0,427.0,2265.0,Python bindings for MPI.,17.0,25,True,2020-07-27 06:40:19.000000,3.0.3,13.0,mpi4py,conda-forge/mpi4py,,,,752.0,,https://pypi.org/project/mpi4py,2019-11-04 13:05:10.000000,752.0,109356.0,121228.0,https://anaconda.org/conda-forge/mpi4py,2021-06-29 05:19:36.466000,683091.0,,,,,2.0,1141.0,,,,,,,,,,,,,,,,,,,,,\n360,hvPlot,holoviz/hvplot,,data-viz,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000000,2021-06-28 14:32:05.000000,2021-06-28 14:32:05.000000,56,118.0,251.0,408.0,406.0,\"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.\",29.0,25,True,2021-05-23 04:35:42.000000,0.7.2,21.0,hvplot,conda-forge/hvplot,,,,675.0,645.0,https://pypi.org/project/hvplot,2021-05-22 18:03:04.000000,30.0,37904.0,40753.0,https://anaconda.org/conda-forge/hvplot,2021-05-23 10:57:42.453000,99718.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n361,PyNNDescent,lmcinnes/pynndescent,,nn-search,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000000,2021-06-29 22:07:17.000000,2021-06-29 22:06:56.000000,52,29.0,38.0,405.0,501.0,A Python nearest neighbor descent for approximate nearest neighbors.,14.0,25,True,2021-02-08 20:03:04.000000,0.5.2,21.0,pynndescent,conda-forge/pynndescent,,,,592.0,586.0,https://pypi.org/project/pynndescent,2021-02-08 20:03:04.000000,6.0,380898.0,387658.0,https://anaconda.org/conda-forge/pynndescent,2021-02-09 04:30:06.804000,169006.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n362,python-soundfile,bastibe/python-soundfile,,audio,https://github.com/bastibe/python-soundfile,https://github.com/bastibe/python-soundfile,BSD-3-Clause,2013-08-27 13:36:52.000000,2021-01-13 07:52:51.000000,2020-12-01 18:42:47.000000,46,57.0,92.0,389.0,493.0,\"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.\",19.0,25,True,2019-12-04 10:03:39.000000,0.10.3post1,7.0,soundfile,,,,,8419.0,7679.0,https://pypi.org/project/soundfile,2019-11-27 12:16:19.000000,740.0,779004.0,779031.0,,,,,,,,2.0,2429.0,,,,,,,,,,,,,,,,,,,,,\n363,ml-metadata,google/ml-metadata,,ml-experiments,https://github.com/google/ml-metadata,https://github.com/google/ml-metadata,Apache-2.0,2019-01-15 21:02:09.000000,2021-06-28 23:46:41.000000,2021-06-28 23:46:37.000000,69,20.0,45.0,339.0,522.0,For recording and retrieving metadata associated with ML developer and data scientist workflows.,13.0,25,True,2021-05-21 02:42:33.000000,1.0.0,27.0,ml-metadata,,,,,129.0,129.0,https://pypi.org/project/ml-metadata,2021-05-21 02:42:33.000000,0.0,527098.0,527145.0,,,,,,,,3.0,1335.0,,,,,,,,,,,,,,,,,,,,,\n364,TensorFlow Cloud,tensorflow/cloud,,tensorflow-utils,https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59.000000,2021-06-30 18:03:45.000000,2021-06-30 18:03:37.000000,53,48.0,26.0,287.0,549.0,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,22.0,25,False,2021-06-17 01:15:10.000000,0.1.16,19.0,tensorflow-cloud,,,,['tensorflow'],78.0,78.0,https://pypi.org/project/tensorflow-cloud,2021-06-17 01:15:10.000000,0.0,411409.0,411409.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n365,DeepSpeech,mozilla/DeepSpeech,,audio,https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53.000000,2021-03-31 15:32:56.000000,,3125,103.0,,16973.0,,\"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..\",93.0,24,True,2020-12-10 17:22:09.000000,0.9.3,100.0,deepspeech,,,,['tensorflow'],58.0,,https://pypi.org/project/deepspeech,2020-12-19 10:05:12.000000,58.0,9913.0,9913.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n366,Ciphey,Ciphey/Ciphey,,nlp,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39.000000,2021-06-28 12:34:08.000000,2021-06-27 19:24:46.000000,411,58.0,200.0,7258.0,1818.0,\"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.\",44.0,24,True,2021-06-06 17:14:16.000000,5.14.0,50.0,ciphey,,remnux/ciphey,,,,,https://pypi.org/project/ciphey,2021-06-06 17:13:48.000000,,8313.0,8742.0,,,,https://hub.docker.com/r/remnux/ciphey,2021-06-06 19:39:58.688952,3.0,10310.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n367,NuPIC,numenta/nupic,,ml-frameworks,https://github.com/numenta/nupic,https://github.com/numenta/nupic,AGPL-3.0,2013-04-05 23:14:27.000000,2021-03-25 21:39:47.000000,2019-10-23 20:45:07.000000,1585,456.0,1337.0,6250.0,6625.0,\"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..\",121.0,24,False,2018-06-01 15:37:54.000000,1.0.5,53.0,nupic,,,,,142.0,104.0,https://pypi.org/project/nupic,2018-06-01 15:37:54.000000,38.0,2877.0,2877.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n368,Face Alignment,1adrianb/face-alignment,,image,https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44.000000,2021-05-05 16:30:37.000000,2021-05-05 16:30:24.000000,1074,39.0,206.0,5022.0,204.0,2D and 3D Face alignment library build using pytorch.,23.0,24,True,2021-04-28 22:17:22.000000,1.3.4,10.0,face-alignment,,,,['pytorch'],12.0,,https://pypi.org/project/face-alignment,2021-04-28 22:17:22.000000,12.0,6736.0,6736.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n369,Lasagne,Lasagne/Lasagne,,ml-frameworks,https://github.com/Lasagne/Lasagne,https://github.com/Lasagne/Lasagne,MIT,2014-09-11 15:31:41.000000,2019-11-20 20:28:31.000000,2019-11-20 20:28:30.000000,983,139.0,402.0,3780.0,1161.0,Lightweight library to build and train neural networks in Theano.,72.0,24,False,2015-08-13 21:00:09.000000,0.1,1.0,lasagne,,,,,1334.0,828.0,https://pypi.org/project/lasagne,2015-08-13 21:10:53.000000,506.0,2630.0,2630.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n370,torchdiffeq,rtqichen/torchdiffeq,,pytorch-utils,https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25.000000,2021-06-02 23:05:29.000000,2021-06-02 23:04:37.000000,613,27.0,119.0,3574.0,218.0,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,19.0,24,True,2021-06-02 23:04:51.000000,0.2.2,6.0,torchdiffeq,,,,['pytorch'],110.0,110.0,https://pypi.org/project/torchdiffeq,2021-06-02 23:04:51.000000,0.0,5012.0,5012.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n371,Snips NLU,snipsco/snips-nlu,,nlp,https://github.com/snipsco/snips-nlu,https://github.com/snipsco/snips-nlu,Apache-2.0,2017-02-08 16:16:36.000000,2021-05-03 12:18:32.000000,2021-05-03 12:18:31.000000,470,51.0,196.0,3520.0,2154.0,Snips Python library to extract meaning from text.,22.0,24,True,2020-01-15 10:13:17.000000,0.20.2,58.0,snips-nlu,,,,,16.0,,https://pypi.org/project/snips-nlu,2020-01-15 10:13:17.000000,16.0,4701.0,4701.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n372,TensorTrade,tensortrade-org/tensortrade,,financial-data,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32.000000,2021-06-19 21:14:44.000000,2021-06-19 21:14:43.000000,766,19.0,154.0,3293.0,902.0,\"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.\",53.0,24,True,2021-05-10 18:04:30.000000,1.0.3,27.0,tensortrade,,,,,19.0,18.0,https://pypi.org/project/tensortrade,2021-05-10 18:00:35.000000,1.0,1119.0,1119.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n373,einops,arogozhnikov/einops,,ml-frameworks,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08.000000,2021-06-06 15:02:21.000000,2021-06-04 04:11:08.000000,119,26.0,48.0,3280.0,321.0,\"Deep learning operations reinvented (for pytorch, tensorflow, jax and others).\",12.0,24,True,2020-09-08 08:33:29.000000,0.3,3.0,einops,conda-forge/einops,,,,719.0,709.0,https://pypi.org/project/einops,2020-09-08 08:21:26.000000,10.0,133228.0,133476.0,https://anaconda.org/conda-forge/einops,2020-10-15 20:10:19.681000,5469.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n374,xLearn,aksnzhy/xlearn,,ml-frameworks,https://github.com/aksnzhy/xlearn,https://github.com/aksnzhy/xlearn,Apache-2.0,2017-06-10 08:09:31.000000,2021-01-28 14:17:44.000000,2020-03-03 10:12:35.000000,515,190.0,108.0,2892.0,1340.0,\"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..\",30.0,24,False,2019-04-25 02:10:05.000000,0.4.4,15.0,xlearn,,,,,65.0,63.0,https://pypi.org/project/xlearn,2018-12-04 11:05:06.000000,2.0,2550.0,2615.0,,,,,,,,3.0,2635.0,,,,,,,,,,,,,,,,,,,,,\n375,keras-vis,raghakot/keras-vis,,interpretability,https://github.com/raghakot/keras-vis,https://github.com/raghakot/keras-vis,MIT,2016-11-11 23:27:34.000000,2020-04-20 01:03:13.000000,2020-04-20 01:03:12.000000,597,114.0,99.0,2835.0,195.0,Neural network visualization toolkit for keras.,10.0,24,False,2017-07-06 04:55:04.000000,0.4.1,11.0,keras-vis,,,,['tensorflow'],1173.0,1117.0,https://pypi.org/project/keras-vis,2017-07-06 04:55:04.000000,56.0,3588.0,3588.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n376,D-Tale,man-group/dtale,,data-viz,https://github.com/man-group/dtale,https://github.com/man-group/dtale,LGPL-2.1,2019-07-15 09:34:48.000000,2021-07-01 03:29:19.000000,2021-06-24 17:34:31.000000,191,38.0,340.0,2468.0,443.0,Visualizer for pandas data structures.,15.0,24,True,2021-06-24 18:08:16.000000,1.50.1,124.0,dtale,conda-forge/dtale,,,\"['pandas', 'jupyter']\",180.0,180.0,https://pypi.org/project/dtale,2021-06-24 18:08:16.000000,0.0,11341.0,15181.0,https://anaconda.org/conda-forge/dtale,2021-06-24 18:28:39.086000,65283.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n377,fastNLP,fastnlp/fastNLP,,nlp,https://github.com/fastnlp/fastNLP,https://github.com/fastnlp/fastNLP,Apache-2.0,2018-03-07 13:30:20.000000,2021-06-12 16:01:07.000000,2021-04-12 13:45:28.000000,374,18.0,136.0,2196.0,1742.0,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,50.0,24,True,2020-11-06 15:31:29.000000,0.6.0,10.0,fastnlp,,,,,35.0,34.0,https://pypi.org/project/fastnlp,2019-02-04 02:35:37.000000,1.0,1321.0,1322.0,,,,,,,,3.0,58.0,,,,,,,,,,,,,,,,,,,,,\n378,Acme,deepmind/acme,,reinforcement-learning,https://github.com/deepmind/acme,https://github.com/deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000000,2021-06-30 15:26:59.000000,2021-06-30 15:26:14.000000,242,54.0,63.0,2151.0,499.0,A library of reinforcement learning components and agents.,43.0,24,True,2021-05-26 17:12:29.000000,0.2.1,10.0,dm-acme,,,,['tensorflow'],34.0,34.0,https://pypi.org/project/dm-acme,2021-05-26 17:12:54.000000,0.0,1377.0,1377.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n379,Alphalens,quantopian/alphalens,,financial-data,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15.000000,2020-09-05 16:48:14.000000,2020-04-27 18:40:41.000000,746,38.0,145.0,1963.0,522.0,Performance analysis of predictive (alpha) stock factors.,25.0,24,False,2020-04-30 15:42:52.000000,0.4.0,10.0,alphalens,conda-forge/alphalens,,,,436.0,408.0,https://pypi.org/project/alphalens,2020-04-27 21:03:10.000000,28.0,2701.0,3002.0,https://anaconda.org/conda-forge/alphalens,2020-05-16 13:52:44.922000,12366.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n380,SRU,asappresearch/sru,,pytorch-utils,https://github.com/asappresearch/sru,https://github.com/asappresearch/sru,MIT,2017-08-28 20:37:41.000000,2021-06-29 18:11:30.000000,2021-05-19 15:52:48.000000,290,53.0,66.0,1953.0,400.0,Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755).,21.0,24,True,2021-05-18 16:13:10.000000,2.6.0,32.0,sru,,,,['pytorch'],18.0,16.0,https://pypi.org/project/sru,2021-06-17 23:33:37.000000,2.0,3908.0,3908.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n381,python_speech_features,jameslyons/python_speech_features,,audio,https://github.com/jameslyons/python_speech_features,https://github.com/jameslyons/python_speech_features,MIT,2013-10-31 02:42:08.000000,2020-12-31 13:27:02.000000,2020-12-31 13:27:01.000000,557,23.0,49.0,1930.0,120.0,This library provides common speech features for ASR including MFCCs and filterbank energies.,18.0,24,True,2020-01-14 14:12:10.000000,0.6.1,6.0,python_speech_features,,,,,300.0,,https://pypi.org/project/python_speech_features,2017-08-16 01:46:13.000000,300.0,84554.0,84554.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n382,Essentia,MTG/essentia,,audio,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000000,2021-07-01 15:11:47.000000,2021-06-14 16:36:23.000000,422,331.0,579.0,1855.0,2864.0,\"C++ library for audio and music analysis, description and synthesis, including Python bindings.\",71.0,24,False,2015-03-31 16:33:30.000000,2.0,9.0,essentia,,,,,219.0,209.0,https://pypi.org/project/essentia,2021-01-13 00:12:18.000000,10.0,2779.0,2779.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n383,efficientnet,qubvel/efficientnet,,tensorflow-utils,https://github.com/qubvel/efficientnet,https://github.com/qubvel/efficientnet,Apache-2.0,2019-05-30 20:21:09.000000,2021-04-18 18:12:08.000000,2020-09-15 16:19:36.000000,422,59.0,55.0,1853.0,64.0,Implementation of EfficientNet model. Keras and TensorFlow Keras.,8.0,24,True,2020-09-15 16:26:00.000000,1.1.1,9.0,efficientnet,,,,['tensorflow'],664.0,660.0,https://pypi.org/project/efficientnet,2020-09-15 16:26:00.000000,4.0,96366.0,103259.0,,,,,,,,3.0,179219.0,,,,,,,,,,,,,,,,,,,,,\n384,Spektral,danielegrattarola/spektral,,graph,https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10.000000,2021-06-29 10:09:58.000000,2021-03-24 08:34:28.000000,234,30.0,129.0,1791.0,945.0,Graph Neural Networks with Keras and Tensorflow 2.,16.0,24,True,2021-03-20 11:39:58.000000,1.0.6,29.0,spektral,,,,\"['tensorflow\"\"']\",57.0,57.0,https://pypi.org/project/spektral,2021-03-20 11:39:58.000000,0.0,3644.0,3644.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n385,textacy,chartbeat-labs/textacy,,nlp,https://github.com/chartbeat-labs/textacy,https://github.com/chartbeat-labs/textacy,Apache-2.0,2016-02-03 16:52:45.000000,2021-05-31 17:18:30.000000,2021-05-31 16:43:05.000000,226,32.0,207.0,1699.0,,\"NLP, before and after spaCy.\",31.0,24,True,2021-04-12 15:49:48.000000,0.11.0,30.0,textacy,conda-forge/textacy,,,,154.0,,https://pypi.org/project/textacy,2021-04-12 15:49:48.000000,154.0,55398.0,57234.0,https://anaconda.org/conda-forge/textacy,2021-04-13 18:57:20.207000,91847.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n386,Pillow-SIMD,uploadcare/pillow-simd,,image,https://github.com/uploadcare/pillow-simd,https://github.com/uploadcare/pillow-simd,PIL,2014-11-12 15:33:02.000000,2021-06-10 04:31:09.000000,2020-06-02 14:50:14.000000,68,11.0,55.0,1609.0,,The friendly PIL fork.,310.0,24,False,2020-01-02 05:19:26.000000,7.0.0,35.0,pillow-simd,,,,,467.0,417.0,https://pypi.org/project/pillow-simd,2020-01-26 14:30:27.000000,50.0,228447.0,228447.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n387,dtreeviz,parrt/dtreeviz,,interpretability,https://github.com/parrt/dtreeviz,https://github.com/parrt/dtreeviz,MIT,2018-08-13 21:45:15.000000,2021-05-28 11:22:03.000000,2021-05-27 19:09:47.000000,208,20.0,80.0,1568.0,364.0,A python library for decision tree visualization and model interpretation.,16.0,24,True,2021-03-16 21:49:18.000000,1.2,23.0,dtreeviz,,,,,176.0,172.0,https://pypi.org/project/dtreeviz,2021-04-05 19:35:08.000000,4.0,47042.0,47042.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n388,mtcnn,ipazc/mtcnn,,image,https://github.com/ipazc/mtcnn,https://github.com/ipazc/mtcnn,MIT,2018-01-05 04:08:32.000000,2021-02-03 15:49:06.000000,2021-01-13 23:50:58.000000,396,60.0,36.0,1559.0,55.0,\"MTCNN face detection implementation for TensorFlow, as a PIP package.\",14.0,24,True,2019-11-14 17:37:05.000000,0.1.0,10.0,mtcnn,,,,['tensorflow'],1304.0,1262.0,https://pypi.org/project/mtcnn,2019-11-14 17:37:05.000000,42.0,21622.0,21622.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n389,sklearn-contrib-lightning,scikit-learn-contrib/lightning,,sklearn-utils,https://github.com/scikit-learn-contrib/lightning,https://github.com/scikit-learn-contrib/lightning,BSD-3-Clause,2012-01-11 13:53:52.000000,2021-06-15 21:59:11.000000,2021-06-15 21:53:37.000000,193,50.0,40.0,1459.0,728.0,\"Large-scale linear classification, regression and ranking in Python.\",17.0,24,True,2021-06-16 21:04:08.000000,0.6.1,10.0,sklearn-contrib-lightning,conda-forge/sklearn-contrib-lightning,,,['sklearn'],94.0,84.0,https://pypi.org/project/sklearn-contrib-lightning,2021-06-15 21:53:28.000000,10.0,1293.0,3787.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2020-12-20 22:58:20.890000,147582.0,,,,,2.0,35.0,,,,,,,,,,,,,,,,,,,,,\n390,streamparse,Parsely/streamparse,,data-pipelines,https://github.com/Parsely/streamparse,https://github.com/Parsely/streamparse,Apache-2.0,2014-05-02 20:33:50.000000,2021-06-21 22:49:33.000000,2020-12-18 18:43:59.000000,219,69.0,263.0,1434.0,1059.0,\"Run Python in Apache Storm topologies. Pythonic API, CLI tooling, and a topology DSL.\",41.0,24,True,2020-10-07 19:53:15.000000,4.0.0,47.0,streamparse,,,,,100.0,48.0,https://pypi.org/project/streamparse,2020-10-07 19:45:19.000000,52.0,4355.0,4355.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n391,pandas-ta,twopirllc/pandas-ta,,probabilistics,https://github.com/twopirllc/pandas-ta,https://github.com/twopirllc/pandas-ta,MIT,2019-02-19 16:41:09.000000,2021-06-30 21:10:30.000000,2021-06-25 18:12:53.000000,328,28.0,188.0,1354.0,,Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators.,37.0,24,True,2021-06-20 17:42:31.000000,0.2.93,17.0,pandas-ta,,,,['pandas'],154.0,154.0,https://pypi.org/project/pandas-ta,2021-02-22 18:56:18.000000,0.0,16920.0,16920.0,,,,,,,,3.0,,,,,,,,,,,,,,,True,,,,,,,\n392,TNT,pytorch/tnt,,ml-experiments,https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58.000000,2021-01-22 09:14:29.000000,2021-01-05 19:36:17.000000,190,30.0,35.0,1329.0,156.0,\"Simple tools for logging and visualizing, loading and training.\",35.0,24,True,2019-11-15 12:57:59.000000,0.0.5.1,3.0,torchnet,,,,['pytorch'],652.0,602.0,https://pypi.org/project/torchnet,2018-07-29 23:16:03.000000,50.0,29048.0,29048.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n393,sense2vec,explosion/sense2vec,,nlp,https://github.com/explosion/sense2vec,https://github.com/explosion/sense2vec,MIT,2016-01-23 22:15:49.000000,2021-06-07 21:03:32.000000,2021-04-18 01:50:23.000000,209,16.0,83.0,1254.0,452.0,Contextually-keyed word vectors.,15.0,24,True,2021-04-19 07:05:28.000000,3.0.0,22.0,sense2vec,conda-forge/sense2vec,,,,86.0,74.0,https://pypi.org/project/sense2vec,2021-04-19 07:05:28.000000,12.0,4139.0,5489.0,https://anaconda.org/conda-forge/sense2vec,2020-03-16 22:19:07.337000,19974.0,,,,,3.0,17310.0,,,,,,,,,,,,,,,,,,,,,\n394,FairScale,facebookresearch/fairscale,,distributed-ml,https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000000,2021-06-29 21:33:11.000000,2021-06-28 22:14:30.000000,90,41.0,142.0,1231.0,482.0,PyTorch extensions for high performance and large scale training.,35.0,24,True,2021-05-18 02:29:18.000000,0.3.7,19.0,fairscale,,,,['pytorch'],37.0,37.0,https://pypi.org/project/fairscale,2021-05-18 00:45:15.000000,0.0,11284.0,11284.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n395,garage,rlworkgroup/garage,,reinforcement-learning,https://github.com/rlworkgroup/garage,https://github.com/rlworkgroup/garage,MIT,2018-06-10 21:31:23.000000,2021-06-24 21:13:53.000000,2021-06-22 02:58:36.000000,227,205.0,791.0,1202.0,1213.0,A toolkit for reproducible reinforcement learning research.,75.0,24,True,2021-03-23 22:18:36.000000,2021.3.0,21.0,garage,,,,['tensorflow'],19.0,19.0,https://pypi.org/project/garage,2021-03-23 22:18:36.000000,0.0,385.0,385.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n396,pycm,sepandhaghighi/pycm,,others,https://github.com/sepandhaghighi/pycm,https://github.com/sepandhaghighi/pycm,MIT,2018-01-22 19:46:54.000000,2021-06-28 01:25:17.000000,2021-03-11 15:42:19.000000,93,12.0,155.0,1106.0,2619.0,Multi-class confusion matrix library in Python.,14.0,24,True,2021-03-11 15:51:49.000000,3.1,35.0,pycm,,,,,118.0,108.0,https://pypi.org/project/pycm,2021-03-11 15:52:23.000000,10.0,9448.0,9448.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n397,livelossplot,stared/livelossplot,,ml-experiments,https://github.com/stared/livelossplot,https://github.com/stared/livelossplot,MIT,2018-03-10 17:51:43.000000,2021-06-04 14:44:15.000000,2021-06-04 14:24:35.000000,137,3.0,70.0,1092.0,325.0,\"Live training loss plot in Jupyter Notebook for Keras, PyTorch and others.\",17.0,24,True,2021-02-03 16:25:47.000000,0.5.4,24.0,livelossplot,,,,['jupyter'],574.0,564.0,https://pypi.org/project/livelossplot,2021-02-03 16:25:47.000000,10.0,43064.0,43064.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n398,pandasql,yhat/pandasql,,data-containers,https://github.com/yhat/pandasql,https://github.com/yhat/pandasql,MIT,2013-02-18 01:53:56.000000,2020-08-14 13:00:13.000000,2017-02-01 15:40:30.000000,142,44.0,23.0,998.0,127.0,sqldf for pandas.,15.0,24,False,2016-04-20 21:52:36.000000,0.7.3,31.0,pandasql,,,,['pandas'],916.0,818.0,https://pypi.org/project/pandasql,2016-04-20 21:52:36.000000,98.0,463024.0,463024.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n399,Streamz,python-streamz/streamz,,time-series-data,https://github.com/python-streamz/streamz,https://github.com/python-streamz/streamz,BSD-3-Clause,2017-04-04 21:45:49.000000,2021-06-23 01:24:18.000000,2021-06-23 01:24:18.000000,121,95.0,136.0,957.0,749.0,Real-time stream processing for python.,41.0,24,True,2021-01-14 20:47:38.000000,0.6.2,15.0,streamz,conda-forge/streamz,,,,231.0,215.0,https://pypi.org/project/streamz,2021-01-14 20:47:38.000000,16.0,9733.0,13449.0,https://anaconda.org/conda-forge/streamz,2021-01-15 14:38:35.032000,170940.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n400,PennyLane,PennyLaneAI/PennyLane,,others,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000000,2021-07-01 14:53:46.000000,2021-07-01 14:53:45.000000,278,109.0,316.0,904.0,1983.0,PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum..,59.0,24,True,2021-06-22 01:43:40.000000,0.16.0,23.0,pennylane,,,,,20.0,,https://pypi.org/project/pennylane,2021-06-22 01:43:40.000000,20.0,5436.0,5437.0,,,,,,,,2.0,56.0,,,,,,,,,,,,,,,,,,,,,\n401,PySAL,pysal/pysal,,geospatial-data,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42.000000,2021-02-08 21:30:44.240000,2021-02-01 00:35:48.000000,241,58.0,585.0,855.0,4119.0,PySAL: Python Spatial Analysis Library Meta-Package.,71.0,24,True,2021-02-02 02:59:42.000000,2.4.0,25.0,pysal,conda-forge/pysal,,,,36.0,,https://pypi.org/project/pysal,2021-02-02 02:59:42.000000,36.0,13945.0,20876.0,https://anaconda.org/conda-forge/pysal,2021-02-08 21:30:44.240000,415918.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n402,openTSNE,pavlin-policar/openTSNE,,data-viz,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000000,2021-06-06 07:19:06.000000,2021-06-06 07:18:34.000000,88,6.0,86.0,851.0,557.0,\"Extensible, parallel implementations of t-SNE.\",10.0,24,True,2021-04-25 19:32:11.000000,0.6.0,21.0,opentsne,conda-forge/opentsne,,,,233.0,229.0,https://pypi.org/project/opentsne,2021-04-25 19:24:59.000000,4.0,33237.0,36654.0,https://anaconda.org/conda-forge/opentsne,2021-05-28 14:28:32.305000,105928.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n403,pyclustering,annoviko/pyclustering,,others,https://github.com/annoviko/pyclustering,https://github.com/annoviko/pyclustering,BSD-3-Clause,2014-02-25 18:59:03.000000,2021-02-12 23:22:26.000000,2021-02-12 19:04:59.000000,196,53.0,584.0,850.0,2079.0,\"pyclustring is a Python, C++ data mining library.\",26.0,24,True,2020-11-25 22:33:07.000000,0.10.1.2,46.0,pyclustering,conda-forge/pyclustering,,,,250.0,214.0,https://pypi.org/project/pyclustering,2020-11-25 22:41:20.000000,36.0,37405.0,38667.0,https://anaconda.org/conda-forge/pyclustering,2021-01-25 21:14:55.053000,23896.0,,,,,2.0,337.0,,,,,,,,,,,,,,,,,,,,,\n404,pyopencl,inducer/pyopencl,,others,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,MIT,2011-04-06 02:51:33.000000,2021-06-30 17:41:20.000000,2021-06-30 17:41:19.000000,212,63.0,223.0,814.0,,\"OpenCL integration for Python, plus shiny features.\",87.0,24,True,2021-06-27 19:40:02.000000,2021.2.4,67.0,pyopencl,conda-forge/pyopencl,,,,769.0,531.0,https://pypi.org/project/pyopencl,2021-06-27 23:38:57.000000,238.0,10580.0,18474.0,https://anaconda.org/conda-forge/pyopencl,2021-06-28 05:22:19.558000,450011.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n405,PySwarms,ljvmiranda921/pyswarms,,others,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45.000000,2021-06-23 11:19:05.000000,2021-06-23 11:19:05.000000,249,19.0,165.0,793.0,409.0,A research toolkit for particle swarm optimization in Python.,43.0,24,True,2021-01-03 21:34:15.000000,1.3.0,20.0,pyswarms,,,,,122.0,122.0,https://pypi.org/project/pyswarms,2021-01-03 21:34:15.000000,0.0,8988.0,8988.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n406,pingouin,raphaelvallat/pingouin,,probabilistics,https://github.com/raphaelvallat/pingouin,https://github.com/raphaelvallat/pingouin,GPL-3.0,2018-04-01 01:10:22.000000,2021-06-25 15:05:43.000000,2021-06-25 15:05:39.000000,61,20.0,127.0,758.0,1118.0,Statistical package in Python based on Pandas.,20.0,24,False,2021-05-27 22:16:23.000000,0.3.12,33.0,pingouin,conda-forge/pingouin,,,,259.0,249.0,https://pypi.org/project/pingouin,2021-05-27 22:10:24.000000,10.0,38979.0,40245.0,https://anaconda.org/conda-forge/pingouin,2021-05-28 00:27:57.122000,39273.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n407,GPyOpt,SheffieldML/GPyOpt,,hyperopt,https://github.com/SheffieldML/GPyOpt,https://github.com/SheffieldML/GPyOpt,BSD-3-Clause,2014-08-13 09:58:25.000000,2020-11-17 10:32:02.000000,2020-11-05 15:16:04.000000,225,100.0,186.0,738.0,514.0,Gaussian Process Optimization using GPy.,49.0,24,True,2020-03-19 21:21:18.000000,1.2.6,11.0,gpyopt,,,,,233.0,197.0,https://pypi.org/project/gpyopt,2020-03-19 11:37:45.000000,36.0,12891.0,12891.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n408,SALib,SALib/SALib,,probabilistics,https://github.com/SALib/SALib,https://github.com/SALib/SALib,MIT,2013-05-30 13:38:10.000000,2021-07-01 12:45:18.000000,2021-07-01 12:34:47.000000,155,38.0,202.0,480.0,965.0,\"Sensitivity Analysis Library in Python (Numpy). Contains Sobol, Morris, Fractional Factorial and FAST methods.\",30.0,24,True,2021-07-01 12:39:24.000000,1.4.0.2,34.0,salib,conda-forge/salib,,,,44.0,,https://pypi.org/project/salib,2021-07-01 12:45:18.000000,44.0,32280.0,33450.0,https://anaconda.org/conda-forge/salib,2020-10-24 17:04:41.614000,65534.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n409,TensorFlow I/O,tensorflow/io,,tensorflow-utils,https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05.000000,2021-06-30 20:31:57.000000,2021-06-30 15:58:17.000000,169,141.0,294.0,471.0,1464.0,\"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.\",73.0,24,True,2021-06-25 13:22:04.000000,0.19.0,24.0,tensorflow-io,,,,['tensorflow'],0.0,,https://pypi.org/project/tensorflow-io,2021-06-25 13:19:18.000000,0.0,257890.0,257890.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n410,findspark,minrk/findspark,,others,https://github.com/minrk/findspark,https://github.com/minrk/findspark,BSD-3-Clause,2015-06-12 21:34:06.000000,2021-06-14 06:11:28.000000,2021-06-14 06:10:09.000000,69,11.0,9.0,404.0,,Find pyspark to make it importable.,14.0,24,True,2020-06-08 09:32:23.000000,1.4.2,12.0,findspark,conda-forge/findspark,,,['spark'],2004.0,1802.0,https://pypi.org/project/findspark,2020-06-08 09:32:23.000000,202.0,1380605.0,1389724.0,https://anaconda.org/conda-forge/findspark,2018-07-06 12:57:33.438000,556298.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n411,sklearn-crfsuite,TeamHG-Memex/sklearn-crfsuite,,sklearn-utils,https://github.com/TeamHG-Memex/sklearn-crfsuite,https://github.com/TeamHG-Memex/sklearn-crfsuite,MIT,2015-11-26 21:15:41.000000,2020-12-30 08:00:27.000000,2019-12-05 08:17:22.000000,155,33.0,22.0,372.0,46.0,scikit-learn inspired API for CRFsuite.,6.0,24,False,2017-06-22 18:49:27.000000,0.3.6,9.0,sklearn-crfsuite,,,,['sklearn'],3263.0,2867.0,https://pypi.org/project/sklearn-crfsuite,2017-06-22 18:49:27.000000,396.0,121022.0,121022.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n412,Cornac,PreferredAI/cornac,,recommender-systems,https://github.com/PreferredAI/cornac,https://github.com/PreferredAI/cornac,Apache-2.0,2018-07-17 06:31:35.000000,2021-06-16 07:33:43.000000,2021-06-16 07:33:43.000000,68,3.0,49.0,366.0,1179.0,A Comparative Framework for Multimodal Recommender Systems.,12.0,24,True,2021-03-30 03:20:12.000000,1.12.0,37.0,cornac,conda-forge/cornac,,,,50.0,48.0,https://pypi.org/project/cornac,2021-03-30 03:23:59.000000,2.0,4051.0,9951.0,https://anaconda.org/conda-forge/cornac,2021-03-30 16:45:43.648000,153410.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n413,metrics,PyTorchLightning/metrics,,distributed-ml,https://github.com/PyTorchLightning/metrics,https://github.com/PyTorchLightning/metrics,Apache-2.0,2020-12-22 20:02:42.000000,2021-07-01 14:04:19.000000,2021-07-01 10:53:37.000000,60,28.0,86.0,361.0,398.0,\"Machine learning metrics for distributed, scalable PyTorch applications.\",70.0,24,True,2021-06-29 13:01:11.000000,0.4.0,15.0,metrics,,,,['pytorch'],386.0,374.0,https://pypi.org/project/metrics,2018-04-28 10:58:56.000000,12.0,2936.0,2966.0,,,,,,,,3.0,120.0,,,,,,,,,,,,,,True,,,,,,,\n414,pyvips,libvips/pyvips,,image,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000000,2021-06-28 13:47:18.054000,2021-06-28 11:48:34.000000,29,80.0,149.0,332.0,397.0,python binding for libvips using cffi.,11.0,24,True,2021-06-28 10:56:34.000000,2.1.15,21.0,pyvips,conda-forge/pyvips,,,,221.0,199.0,https://pypi.org/project/pyvips,2021-06-28 10:56:34.000000,22.0,13213.0,13635.0,https://anaconda.org/conda-forge/pyvips,2021-06-28 13:47:18.054000,9721.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n415,datalad,datalad/datalad,,others,https://github.com/datalad/datalad,https://github.com/datalad/datalad,MIT,2013-11-01 19:40:08.000000,2021-07-01 05:43:04.000000,2021-07-01 05:43:04.000000,74,715.0,2368.0,251.0,14022.0,\"Keep code, data, containers under control with git and git-annex.\",38.0,24,False,2021-06-27 01:02:25.000000,0.14.6,70.0,datalad,conda-forge/datalad,,,,26.0,,https://pypi.org/project/datalad,2021-06-27 01:02:43.000000,26.0,4061.0,7502.0,https://anaconda.org/conda-forge/datalad,2021-06-22 10:20:02.742000,137670.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n416,Orion,Epistimio/orion,,hyperopt,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21.000000,2021-06-28 22:30:18.000000,2021-06-07 16:28:39.000000,41,44.0,119.0,191.0,2859.0,Asynchronous Distributed Hyperparameter Optimization.,23.0,24,False,2021-05-19 20:08:31.000000,0.1.15,16.0,orion,,,,,48.0,40.0,https://pypi.org/project/orion,2021-05-19 20:08:31.000000,8.0,1717.0,1717.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n417,dbnd,databand-ai/dbnd,,data-pipelines,https://github.com/databand-ai/dbnd,https://github.com/databand-ai/dbnd,Apache-2.0,2020-01-02 10:42:47.000000,2021-06-30 16:33:34.000000,2021-06-30 12:47:33.000000,14,6.0,2.0,191.0,2316.0,DBND is an agile pipeline framework that helps data engineering teams track and orchestrate their data processes.,38.0,24,False,2021-06-28 10:45:48.000000,0.43.3,169.0,dbnd,,,,,25.0,25.0,https://pypi.org/project/dbnd,2021-06-30 13:41:50.000000,0.0,74547.0,74547.0,,,,,,,,3.0,,,,,,,,,,,,,,,True,,,,,,,\n418,cortex,cortexlabs/cortex,,model-serialisation,https://github.com/cortexlabs/cortex,https://github.com/cortexlabs/cortex,Apache-2.0,2019-01-24 04:43:14.000000,2021-07-01 14:15:24.000000,2021-06-29 15:51:14.000000,572,135.0,906.0,7547.0,2185.0,Serverless containers on AWS.,21.0,23,True,2021-06-24 03:59:24.000000,0.37.0,56.0,cortex,,,,,0.0,,https://pypi.org/project/cortex,2021-06-24 03:55:06.000000,0.0,1602.0,1602.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n419,Apex,NVIDIA/apex,,gpu-utilities,https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000000,2021-06-15 05:04:31.000000,2021-06-15 05:04:31.000000,736,467.0,378.0,5487.0,845.0,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,82.0,23,True,,,1.0,,conda-forge/nvidia-apex,,,['pytorch'],604.0,604.0,,,,,2510.0,https://anaconda.org/conda-forge/nvidia-apex,2021-04-22 16:13:47.237000,52726.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n420,snownlp,isnowfy/snownlp,,chinese-nlp,https://github.com/isnowfy/snownlp,https://github.com/isnowfy/snownlp,MIT,2013-11-26 11:46:56.000000,2020-01-19 02:39:05.000000,2020-01-19 02:39:03.000000,1276,36.0,65.0,5462.0,57.0,Python library for processing Chinese text.,8.0,23,False,2015-09-27 16:35:23.000000,0.12.3,17.0,snownlp,,,,,703.0,627.0,https://pypi.org/project/snownlp,2015-09-27 16:35:23.000000,76.0,6625.0,6625.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n421,flashtext,vi3k6i5/flashtext,,nlp,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01.000000,2021-04-29 02:55:52.000000,2020-05-03 07:13:22.000000,556,54.0,49.0,4831.0,108.0,Extract Keywords from sentence or Replace keywords in sentences.,8.0,23,False,,,18.0,flashtext,,,,,526.0,494.0,https://pypi.org/project/flashtext,2018-02-16 05:24:17.000000,32.0,355283.0,355283.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n422,neon,NervanaSystems/neon,,ml-frameworks,https://github.com/NervanaSystems/neon,https://github.com/NervanaSystems/neon,Apache-2.0,2014-10-16 01:00:17.000000,2020-12-23 01:21:42.000000,2019-05-22 18:27:54.000000,848,87.0,306.0,3854.0,1118.0,Intel Nervana reference deep learning framework committed to best performance on all hardware.,109.0,23,False,2018-01-05 23:25:04.000000,2.6.0,32.0,nervananeon,,,,,47.0,46.0,https://pypi.org/project/nervananeon,2018-01-05 23:25:04.000000,1.0,155.0,159.0,,,,,,,,3.0,307.0,,,,,,,,,,,,,,,,,,,,,\n423,DeepMatcher,anhaidgroup/deepmatcher,,nlp,https://github.com/anhaidgroup/deepmatcher,https://github.com/anhaidgroup/deepmatcher,BSD-3-Clause,2017-12-01 19:01:11.000000,2021-06-13 01:13:43.000000,2021-06-13 00:22:13.000000,1368,50.0,22.0,3664.0,176.0,Python package for performing Entity and Text Matching using Deep Learning.,7.0,23,True,2021-05-27 22:28:29.000000,0.1.2,13.0,deepmatcher,,,,,13.0,13.0,https://pypi.org/project/deepmatcher,2021-06-13 01:13:24.000000,,703.0,703.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n424,ArrayFire,arrayfire/arrayfire,,gpu-utilities,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000000,2021-06-24 04:04:27.000000,2021-06-24 03:09:07.000000,475,239.0,1243.0,3540.0,5736.0,ArrayFire: a general purpose GPU library.,82.0,23,True,2021-01-08 21:41:09.000000,3.8.0,30.0,arrayfire,,,,,8.0,,https://pypi.org/project/arrayfire,2021-03-05 17:36:30.000000,8.0,1312.0,1330.0,,,,,,,,2.0,1315.0,,,,,,,,,,,,,,,,,,,,,\n425,MatchZoo,NTMC-Community/MatchZoo,,nlp,https://github.com/NTMC-Community/MatchZoo,https://github.com/NTMC-Community/MatchZoo,Apache-2.0,2017-06-08 08:55:22.000000,2021-06-03 02:58:49.000000,2021-06-02 17:38:16.000000,880,27.0,429.0,3450.0,1810.0,\"Facilitating the design, comparison and sharing of deep text matching models.\",36.0,23,True,2019-10-24 13:09:11.000000,2.2.0,5.0,matchzoo,,,,['tensorflow'],10.0,10.0,https://pypi.org/project/matchzoo,2019-10-24 13:09:11.000000,,217.0,217.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n426,segmentation_models,qubvel/segmentation_models,,image,https://github.com/qubvel/segmentation_models,https://github.com/qubvel/segmentation_models,MIT,2018-06-05 13:27:56.000000,2021-05-18 07:51:15.000000,2020-04-17 09:51:20.000000,782,184.0,249.0,3275.0,204.0,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,14.0,23,False,2020-01-10 11:36:02.000000,1.0.1,8.0,segmentation_models,,,,['tensorflow'],24.0,,https://pypi.org/project/segmentation_models,2020-01-10 11:36:02.000000,24.0,19909.0,19909.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n427,Chartify,spotify/chartify,,data-viz,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05.000000,2021-03-20 11:20:12.000000,2021-02-05 18:49:02.000000,259,40.0,30.0,2943.0,195.0,Python library that makes it easy for data scientists to create charts.,21.0,23,True,2020-11-02 22:14:08.000000,3.0.3,16.0,chartify,conda-forge/chartify,,,,60.0,55.0,https://pypi.org/project/chartify,2020-11-02 22:14:08.000000,5.0,1670.0,2120.0,https://anaconda.org/conda-forge/chartify,2020-11-07 19:52:50.628000,14416.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n428,Image Super-Resolution,idealo/image-super-resolution,,image,https://github.com/idealo/image-super-resolution,https://github.com/idealo/image-super-resolution,Apache-2.0,2018-11-26 13:41:13.000000,2021-06-02 09:48:09.000000,2021-06-02 09:45:13.000000,538,72.0,105.0,2874.0,150.0,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,10.0,23,True,2020-01-08 15:37:35.000000,2.2.0,11.0,ISR,,idealo/image-super-resolution-gpu,,['tensorflow'],63.0,55.0,https://pypi.org/project/ISR,2020-01-08 15:37:35.000000,8.0,4967.0,4971.0,,,,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,,152.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n429,ART,Trusted-AI/adversarial-robustness-toolbox,,adversarial,https://github.com/Trusted-AI/adversarial-robustness-toolbox,https://github.com/Trusted-AI/adversarial-robustness-toolbox,MIT,2018-03-15 14:40:43.000000,2021-07-01 14:49:08.000000,2021-07-01 12:31:48.000000,650,66.0,477.0,2339.0,,\"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..\",77.0,23,True,2021-06-15 22:01:59.000000,1.7.0,32.0,adversarial-robustness-toolbox,,,,,136.0,136.0,https://pypi.org/project/adversarial-robustness-toolbox,2021-06-15 20:32:09.000000,0.0,6531.0,6531.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n430,analytics-zoo,intel-analytics/analytics-zoo,,distributed-ml,https://github.com/intel-analytics/analytics-zoo,https://github.com/intel-analytics/analytics-zoo,Apache-2.0,2017-05-05 02:27:30.000000,2021-07-01 10:43:26.000000,2021-07-01 10:43:26.000000,675,521.0,700.0,2330.0,3083.0,\"Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray.\",102.0,23,True,2021-05-25 05:58:11.000000,0.10.0,84.0,analytics-zoo,,,,['spark'],2.0,2.0,https://pypi.org/project/analytics-zoo,2021-06-30 06:51:24.000000,,1712.0,1712.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n431,Arctic,man-group/arctic,,data-containers,https://github.com/man-group/arctic,https://github.com/man-group/arctic,LGPL-2.1,2015-05-29 13:37:30.000000,2021-06-08 06:47:16.000000,2021-04-16 01:50:53.000000,462,86.0,438.0,2322.0,1077.0,Arctic is a high performance datastore for numeric data.,71.0,23,True,2020-12-01 23:17:26.000000,1.79.4,83.0,arctic,conda-forge/arctic,,,,165.0,123.0,https://pypi.org/project/arctic,2020-12-01 23:16:12.000000,42.0,3998.0,4543.0,https://anaconda.org/conda-forge/arctic,2019-12-16 08:57:24.231000,14150.0,,,,,3.0,138.0,,,,,,,,,,,,,,,,,,,,,\n432,scikit-opt,guofei9987/scikit-opt,,sklearn-utils,https://github.com/guofei9987/scikit-opt,https://github.com/guofei9987/scikit-opt,MIT,2017-12-05 10:20:41.000000,2021-07-01 06:01:44.000000,2021-07-01 06:01:43.000000,549,21.0,88.0,2314.0,289.0,\"Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune..\",12.0,23,True,2021-06-28 12:45:52.000000,0.6.5,22.0,scikit-opt,,,,['sklearn'],38.0,35.0,https://pypi.org/project/scikit-opt,2021-06-28 12:36:56.000000,3.0,1399.0,1399.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n433,PandasGUI,adamerose/pandasgui,,data-viz,https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT,2019-06-12 02:19:42.000000,2021-06-27 08:43:49.000000,2021-06-27 08:38:07.000000,131,22.0,99.0,2270.0,403.0,A GUI for Pandas DataFrames.,8.0,23,True,2021-06-26 20:39:27.000000,0.2.12,42.0,pandasgui,,,,['pandas'],83.0,81.0,https://pypi.org/project/pandasgui,2021-06-26 20:39:27.000000,2.0,6674.0,6674.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n434,Enigma Catalyst,enigmampc/catalyst,,financial-data,https://github.com/enigmampc/catalyst,https://github.com/enigmampc/catalyst,Apache-2.0,2017-06-13 22:31:34.000000,2021-01-05 19:10:30.000000,2020-12-28 10:58:58.000000,631,135.0,356.0,2237.0,6362.0,An Algorithmic Trading Library for Crypto-Assets in Python.,145.0,23,True,2018-11-11 16:46:28.000000,0.5.21,52.0,enigma-catalyst,,,,,25.0,23.0,https://pypi.org/project/enigma-catalyst,2018-11-11 16:46:28.000000,2.0,2475.0,2475.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n435,TF Ranking,tensorflow/ranking,,recommender-systems,https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57.000000,2021-07-01 11:47:03.000000,2021-05-24 23:21:34.000000,384,29.0,216.0,2167.0,392.0,Learning to Rank in TensorFlow.,20.0,23,True,2021-05-25 17:36:24.000000,0.4.0,16.0,tensorflow_ranking,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow_ranking,2021-05-25 15:34:56.000000,2.0,99961.0,99961.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n436,GluonTS,awslabs/gluon-ts,,time-series-data,https://github.com/awslabs/gluon-ts,https://github.com/awslabs/gluon-ts,Apache-2.0,2019-05-15 17:17:29.000000,2021-07-01 10:54:09.000000,2021-06-30 12:13:16.000000,416,222.0,403.0,1975.0,755.0,Probabilistic time series modeling in Python.,74.0,23,True,2021-06-15 11:20:17.000000,0.7.6,39.0,gluonts,,,,['mxnet'],0.0,,https://pypi.org/project/gluonts,2021-06-15 11:20:17.000000,0.0,57642.0,57642.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n437,polars,pola-rs/polars,,data-containers,https://github.com/pola-rs/polars,https://github.com/pola-rs/polars,MIT,2020-05-13 19:45:33.000000,2021-07-01 15:02:05.000000,2021-07-01 13:49:09.000000,109,48.0,338.0,1945.0,1804.0,Fast multi-threaded DataFrame library in Rust and Python.,32.0,23,True,2021-06-26 12:03:14.000000,0.8.8,39.0,polars,,,,,3.0,3.0,https://pypi.org/project/polars,2021-06-26 12:03:14.000000,0.0,4112.0,4112.0,,,,,,,,3.0,,,,,,,,,,,,,,,True,,,,,,,\n438,pytorch-nlp,PetrochukM/PyTorch-NLP,,nlp,https://github.com/PetrochukM/PyTorch-NLP,https://github.com/PetrochukM/PyTorch-NLP,BSD-3-Clause,2018-02-25 05:00:36.000000,2021-04-08 15:39:47.000000,2021-01-26 22:23:57.000000,230,14.0,49.0,1929.0,445.0,Basic Utilities for PyTorch Natural Language Processing (NLP).,17.0,23,True,2019-11-04 05:16:00.000000,0.5.0,19.0,pytorch-nlp,,,,['pytorch'],260.0,242.0,https://pypi.org/project/pytorch-nlp,2019-11-04 04:35:18.000000,18.0,5383.0,5383.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n439,PyFlux,RJT1990/pyflux,,time-series-data,https://github.com/RJT1990/pyflux,https://github.com/RJT1990/pyflux,BSD-3-Clause,2016-02-16 20:12:02.000000,2019-03-19 10:45:02.000000,2018-12-16 15:30:13.000000,213,79.0,65.0,1881.0,118.0,Open source time series library for Python.,6.0,23,False,2017-11-21 16:27:06.000000,0.4.16,35.0,pyflux,,,,,221.0,191.0,https://pypi.org/project/pyflux,2017-11-21 16:27:06.000000,30.0,59629.0,59629.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n440,Multicore-TSNE,DmitryUlyanov/Multicore-TSNE,,data-viz,https://github.com/DmitryUlyanov/Multicore-TSNE,https://github.com/DmitryUlyanov/Multicore-TSNE,BSD-3-Clause,2016-10-19 05:46:52.000000,2021-06-03 12:17:47.000000,2020-08-19 14:58:00.000000,200,37.0,20.0,1587.0,113.0,Parallel t-SNE implementation with Python and Torch wrappers.,15.0,23,True,2017-11-08 13:32:20.000000,0.0.1,3.0,MulticoreTSNE,conda-forge/multicore-tsne,,,['pytorch'],262.0,234.0,https://pypi.org/project/MulticoreTSNE,2019-01-09 07:23:04.000000,28.0,4854.0,5117.0,https://anaconda.org/conda-forge/multicore-tsne,2021-04-23 10:26:30.160000,8439.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n441,PyTextRank,DerwenAI/pytextrank,,nlp,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000000,2021-06-30 14:47:29.000000,2021-06-30 14:47:29.000000,300,17.0,53.0,1558.0,,Python implementation of TextRank for phrase extraction and summarization of text documents.,14.0,23,True,2021-03-25 19:46:28.000000,3.1.1,15.0,pytextrank,,,,,183.0,171.0,https://pypi.org/project/pytextrank,2021-03-25 19:46:28.000000,12.0,13391.0,13391.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n442,AmpliGraph,Accenture/AmpliGraph,,graph,https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05.000000,2021-05-25 16:56:00.000000,2021-05-25 16:49:48.000000,169,24.0,180.0,1539.0,947.0,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,19.0,23,True,2021-05-25 16:57:42.000000,1.4.0,12.0,ampligraph,,,,['tensorflow'],14.0,14.0,https://pypi.org/project/ampligraph,2021-05-25 16:47:29.000000,,1541.0,1541.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n443,bonobo,python-bonobo/bonobo,,data-pipelines,https://github.com/python-bonobo/bonobo,https://github.com/python-bonobo/bonobo,Apache-2.0,2016-12-09 04:03:23.000000,2021-06-01 22:24:45.000000,2021-03-10 15:44:00.000000,119,68.0,108.0,1447.0,978.0,Extract Transform Load for Python 3.5+.,37.0,23,True,2019-05-16 13:19:48.000000,0.6.4,38.0,bonobo,,,http://docs.bonobo-project.org/en/master/,,170.0,118.0,https://pypi.org/project/bonobo,2019-07-20 13:33:19.000000,52.0,7608.0,7608.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n444,TensorFlow Privacy,tensorflow/privacy,,privacy-ml,https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000000,2021-06-30 17:46:16.000000,2021-06-30 17:46:13.000000,310,59.0,80.0,1433.0,484.0,Library for training machine learning models with privacy for training data.,39.0,23,True,2021-06-30 00:31:06.000000,0.6.1,12.0,tensorflow-privacy,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow-privacy,2021-06-30 00:31:06.000000,2.0,17005.0,17006.0,,,,,,,,2.0,43.0,,,,,,,,,,,,,,,,,,,,,\n445,checklist,marcotcr/checklist,,interpretability,https://github.com/marcotcr/checklist,https://github.com/marcotcr/checklist,MIT,2020-03-09 17:18:49.000000,2021-06-25 19:08:07.000000,2021-06-25 19:07:52.000000,129,8.0,70.0,1400.0,228.0,Beyond Accuracy: Behavioral Testing of NLP models with CheckList.,10.0,23,True,2021-05-24 16:45:59.000000,0.0.11,10.0,checklist,,,,['jupyter'],15.0,13.0,https://pypi.org/project/checklist,2021-05-24 16:45:59.000000,2.0,14710.0,14710.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n446,mljar-supervised,mljar/mljar-supervised,,hyperopt,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000000,2021-06-23 18:01:36.000000,2021-06-23 18:01:36.000000,177,48.0,341.0,1365.0,928.0,Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning.,9.0,23,True,2021-06-08 20:39:40.000000,0.10.6,73.0,mljar-supervised,,,,,14.0,14.0,https://pypi.org/project/mljar-supervised,2021-06-08 20:39:40.000000,,6324.0,6324.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n447,Torch Points 3D,nicolas-chaulet/torch-points3d,,image,https://github.com/nicolas-chaulet/torch-points3d,https://github.com/nicolas-chaulet/torch-points3d,BSD-3-Clause,2019-12-06 11:33:34.000000,2021-06-24 15:16:27.000000,2021-06-23 10:02:16.000000,208,71.0,189.0,1334.0,1703.0,Pytorch framework for doing deep learning on point clouds.,26.0,23,True,2021-04-30 09:00:22.000000,1.3.0,14.0,torch-points3d,,,,['pytorch'],3.0,3.0,https://pypi.org/project/torch-points3d,2021-04-30 09:00:22.000000,,623.0,623.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n448,modAL,modAL-python/modAL,,others,https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000000,2021-06-22 02:31:01.000000,2021-01-07 09:40:40.000000,202,56.0,51.0,1293.0,648.0,A modular active learning framework for Python.,14.0,23,True,2021-01-07 09:47:49.000000,0.4.1,12.0,modAL,,,,['sklearn'],93.0,85.0,https://pypi.org/project/modAL,2021-01-07 09:47:49.000000,8.0,3187.0,3187.0,,,,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,,,,\n449,Karate Club,benedekrozemberczki/karateclub,,graph,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56.000000,2021-05-19 21:53:35.000000,2021-05-19 21:42:25.000000,149,1.0,56.0,1286.0,2126.0,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,12.0,23,False,2021-05-19 21:53:35.000000,_10100,98.0,karateclub,,,,,47.0,47.0,https://pypi.org/project/karateclub,2021-05-19 21:50:32.000000,0.0,6713.0,6713.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n450,metric-learn,scikit-learn-contrib/metric-learn,,others,https://github.com/scikit-learn-contrib/metric-learn,https://github.com/scikit-learn-contrib/metric-learn,MIT,2013-11-02 08:29:47.000000,2021-05-23 21:08:50.000000,2021-04-26 08:27:27.000000,216,52.0,110.0,1146.0,266.0,Metric learning algorithms in Python.,19.0,23,True,2020-07-02 12:59:23.000000,0.6.2,10.0,metric-learn,,,,['sklearn'],171.0,153.0,https://pypi.org/project/metric-learn,2020-07-02 12:59:23.000000,18.0,6143.0,6143.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n451,FinTA,peerchemist/finta,,financial-data,https://github.com/peerchemist/finta,https://github.com/peerchemist/finta,LGPL-3.0,2016-09-01 21:02:46.000000,2021-05-15 16:10:31.000000,2021-05-15 16:10:27.000000,381,12.0,63.0,1140.0,384.0,Common financial technical indicators implemented in Pandas.,24.0,23,False,2021-04-03 08:51:49.000000,1.3,19.0,finta,,,,,87.0,83.0,https://pypi.org/project/finta,2020-10-21 11:39:44.000000,4.0,6509.0,6509.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n452,TabPy,tableau/TabPy,,others,https://github.com/tableau/TabPy,https://github.com/tableau/TabPy,MIT,2016-09-27 21:26:03.000000,2021-02-04 23:28:56.000000,2021-02-04 23:28:56.000000,410,13.0,265.0,1095.0,828.0,Execute Python code on the fly and display results in Tableau visualizations:.,40.0,23,True,2020-11-11 19:06:41.000000,2.3.1,24.0,tabpy,,,,,63.0,63.0,https://pypi.org/project/tabpy,2020-11-11 19:06:41.000000,0.0,13675.0,13675.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n453,tensorly,tensorly/tensorly,,others,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52.000000,2021-07-01 10:38:38.000000,2021-07-01 10:38:38.000000,207,34.0,114.0,1051.0,,TensorLy: Tensor Learning in Python.,46.0,23,True,2021-04-15 15:01:47.000000,0.5.1,17.0,tensorly,conda-forge/tensorly,,,,177.0,157.0,https://pypi.org/project/tensorly,2021-04-14 11:18:01.000000,20.0,5791.0,9661.0,https://anaconda.org/conda-forge/tensorly,2020-12-07 22:44:30.386000,147081.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n454,Alibi,SeldonIO/alibi,,interpretability,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Apache-2.0,2019-02-26 10:10:56.000000,2021-07-01 14:27:52.000000,2021-06-18 13:41:08.000000,132,85.0,98.0,1038.0,273.0,Algorithms for explaining machine learning models.,14.0,23,True,2021-04-29 14:20:00.000000,0.5.8,18.0,alibi,,,,,112.0,94.0,https://pypi.org/project/alibi,2021-04-29 14:19:18.000000,18.0,14428.0,14428.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n455,ogb,snap-stanford/ogb,,graph,https://github.com/snap-stanford/ogb,https://github.com/snap-stanford/ogb,MIT,2019-11-22 22:13:57.000000,2021-06-28 09:35:04.000000,2021-06-22 03:31:02.000000,196,,150.0,986.0,532.0,\"Benchmark datasets, data loaders, and evaluators for graph machine learning.\",15.0,23,True,2021-04-07 08:44:37.000000,1.3.1,14.0,ogb,,,,,128.0,128.0,https://pypi.org/project/ogb,2021-04-07 08:44:37.000000,0.0,6765.0,6765.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n456,SciSpacy,allenai/scispacy,,nlp,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52.000000,2021-06-23 16:48:14.000000,2021-06-22 20:02:00.000000,134,28.0,169.0,947.0,,A full spaCy pipeline and models for scientific/biomedical documents.,21.0,23,True,2021-02-12 22:56:06.000000,0.4.0,10.0,scispacy,,,,,300.0,288.0,https://pypi.org/project/scispacy,2021-02-12 22:56:06.000000,12.0,21651.0,21651.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n457,keract,philipperemy/keract,,interpretability,https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57.000000,2021-06-21 18:32:46.000000,2021-06-21 10:36:02.000000,179,1.0,80.0,892.0,375.0,Layers Outputs and Gradients in Keras. Made easy.,16.0,23,True,2021-06-19 16:14:57.000000,4.5.0,38.0,keract,,,,['tensorflow'],93.0,88.0,https://pypi.org/project/keract,2021-06-19 16:14:15.000000,5.0,1446.0,1446.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n458,minisom,JustGlowing/minisom,,others,https://github.com/JustGlowing/minisom,https://github.com/JustGlowing/minisom,CC-BY-3.0,2013-07-03 10:10:06.000000,2021-05-17 07:54:32.000000,2021-05-17 07:50:23.000000,278,6.0,71.0,865.0,450.0,MiniSom is a minimalistic implementation of the Self Organizing Maps.,22.0,23,False,2021-04-24 17:22:39.000000,2.2.9,1.0,minisom,,,,,183.0,175.0,https://pypi.org/project/minisom,2021-04-24 17:21:29.000000,8.0,8145.0,8145.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n459,arq,samuelcolvin/arq,,data-pipelines,https://github.com/samuelcolvin/arq,https://github.com/samuelcolvin/arq,MIT,2016-07-21 18:24:42.000000,2021-06-22 19:16:24.000000,2021-04-26 11:54:29.000000,68,24.0,82.0,843.0,308.0,Fast job queuing and RPC in python with asyncio and redis.,28.0,23,True,2021-04-26 11:22:24.000000,0.20,52.0,arq,,,,,69.0,61.0,https://pypi.org/project/arq,2021-04-26 11:24:40.000000,8.0,14352.0,14352.0,,,,,,,,3.0,,,,,,,,,,,,,,,True,,,,,,,\n460,Opacus,pytorch/opacus,,privacy-ml,https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000000,2021-06-28 20:25:10.000000,2021-06-28 15:01:41.000000,126,14.0,70.0,838.0,263.0,Training PyTorch models with differential privacy.,30.0,23,True,2021-06-23 16:51:56.000000,0.14.0,9.0,opacus,,,,['pytorch'],42.0,42.0,https://pypi.org/project/opacus,2021-06-23 16:51:56.000000,0.0,11417.0,11419.0,,,,,,,,2.0,34.0,,,,,,,,,,,,,,,,,,,,,\n461,Neural Structured Learning,tensorflow/neural-structured-learning,,tensorflow-utils,https://github.com/tensorflow/neural-structured-learning,https://github.com/tensorflow/neural-structured-learning,Apache-2.0,2019-08-27 21:48:16.000000,2021-06-22 04:14:23.000000,2021-06-22 04:14:19.000000,147,6.0,45.0,830.0,446.0,Training neural models with structured signals.,27.0,23,True,2020-08-18 00:35:35.000000,1.3.1,7.0,neural-structured-learning,,,,['tensorflow'],87.0,87.0,https://pypi.org/project/neural-structured-learning,2020-08-18 00:35:35.000000,0.0,8939.0,8939.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n462,stockstats,jealous/stockstats,,financial-data,https://github.com/jealous/stockstats,https://github.com/jealous/stockstats,BSD-3-Clause,2016-06-05 15:21:22.000000,2021-06-08 19:58:40.000000,2020-10-17 10:59:35.000000,222,33.0,32.0,809.0,23.0,Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.,7.0,23,True,2020-10-17 11:10:43.000000,0.3.2,14.0,stockstats,,,,,328.0,280.0,https://pypi.org/project/stockstats,2020-10-17 11:10:43.000000,48.0,37099.0,37099.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n463,arch,bashtage/arch,,financial-data,https://github.com/bashtage/arch,https://github.com/bashtage/arch,NCSA,2014-08-29 15:41:28.000000,2021-06-10 16:16:55.000000,2021-06-10 16:12:15.000000,165,13.0,138.0,742.0,,ARCH models in Python.,26.0,23,False,2021-03-16 08:28:41.000000,4.19,32.0,arch,,,,,375.0,333.0,https://pypi.org/project/arch,2021-03-16 08:30:20.000000,42.0,81005.0,81005.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n464,GPUtil,anderskm/gputil,,gpu-utilities,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43.000000,2020-10-01 05:42:49.000000,2019-08-16 09:00:15.000000,84,11.0,14.0,737.0,140.0,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,13.0,23,False,2018-12-18 09:12:13.000000,1.4.0,8.0,gputil,,,,,1372.0,1270.0,https://pypi.org/project/gputil,2018-12-18 09:12:13.000000,102.0,127708.0,127708.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n465,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,,data-viz,https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14.000000,2021-05-10 08:15:20.000000,2021-05-10 08:14:09.000000,83,21.0,62.0,697.0,289.0,Bokeh Plotting Backend for Pandas and GeoPandas.,12.0,23,True,2021-04-11 17:43:13.000000,0.5.5,16.0,pandas-bokeh,,,,['pandas'],203.0,193.0,https://pypi.org/project/pandas-bokeh,2021-04-11 17:43:13.000000,10.0,6779.0,6779.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n466,NeuPy,itdxer/neupy,,ml-frameworks,https://github.com/itdxer/neupy,https://github.com/itdxer/neupy,MIT,2015-08-24 19:45:11.000000,2021-06-08 20:04:22.000000,2019-09-02 19:02:38.000000,149,28.0,232.0,684.0,1145.0,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,6.0,23,False,2019-04-04 19:44:59.000000,0.8.2,34.0,neupy,,,,,124.0,113.0,https://pypi.org/project/neupy,2019-04-04 19:43:06.000000,11.0,2222.0,2222.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n467,scikit-multilearn,scikit-multilearn/scikit-multilearn,,sklearn-utils,https://github.com/scikit-multilearn/scikit-multilearn,https://github.com/scikit-multilearn/scikit-multilearn,BSD-2-Clause,2014-04-30 13:05:44.000000,2020-06-30 10:19:46.000000,2019-05-21 11:29:06.000000,122,66.0,92.0,663.0,487.0,A scikit-learn based module for multi-label et. al. classification.,15.0,23,False,2018-12-10 16:24:47.000000,0.2.0,6.0,scikit-multilearn,,,,['sklearn'],502.0,480.0,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47.000000,22.0,102012.0,102012.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n468,Sentinelsat,sentinelsat/sentinelsat,,geospatial-data,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26.000000,2021-06-29 09:16:25.000000,2021-06-29 09:16:25.000000,183,17.0,266.0,630.0,,Search and download Copernicus Sentinel satellite images.,39.0,23,False,2021-05-25 11:28:50.000000,1.0.1,38.0,sentinelsat,,,,,248.0,204.0,https://pypi.org/project/sentinelsat,2021-05-25 11:28:50.000000,44.0,17592.0,17595.0,,,,,,,,3.0,207.0,,,,,,,,,,,,,,,,,,,,,\n469,CellProfiler,CellProfiler/CellProfiler,,image,https://github.com/CellProfiler/CellProfiler,https://github.com/CellProfiler/CellProfiler,BSD-3-Clause,2011-04-05 12:10:12.000000,2021-06-28 18:37:48.000000,2021-06-28 18:37:37.000000,280,166.0,2808.0,585.0,15341.0,An open-source application for biological image analysis.,120.0,23,True,2021-06-24 19:10:01.000000,4.2.0,42.0,cellprofiler,,,,,4.0,4.0,https://pypi.org/project/cellprofiler,2017-09-04 18:03:36.000000,,850.0,862.0,,,,,,,,3.0,1116.0,,,,,,,,,,,,,,,,,,,,,\n470,python-ternary,marcharper/python-ternary,,data-viz,https://github.com/marcharper/python-ternary,https://github.com/marcharper/python-ternary,MIT,2012-08-07 23:48:55.000000,2021-06-13 17:23:28.000000,2021-06-13 17:23:27.000000,111,24.0,86.0,435.0,388.0,Ternary plotting library for python with matplotlib.,26.0,23,True,2021-02-17 18:38:15.000000,1.0.8,11.0,python-ternary,conda-forge/python-ternary,,,,86.0,66.0,https://pypi.org/project/python-ternary,2021-02-17 18:38:15.000000,20.0,5255.0,6134.0,https://anaconda.org/conda-forge/python-ternary,2021-02-17 22:38:55.625000,55407.0,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,,,,\n471,vega,vega/ipyvega,,data-viz,https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000000,2021-07-01 13:07:41.000000,2021-06-09 15:52:26.000000,45,10.0,80.0,308.0,512.0,IPython/Jupyter notebook module for Vega and Vega-Lite.,10.0,23,True,2021-06-03 20:52:09.000000,3.5.0,38.0,vega,conda-forge/vega,,,['jupyter'],148.0,,https://pypi.org/project/vega,2021-06-03 20:52:09.000000,148.0,30336.0,37454.0,https://anaconda.org/conda-forge/vega,2021-06-03 23:34:43.187000,434216.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n472,NIPY,nipy/nipy,,medical-data,https://github.com/nipy/nipy,https://github.com/nipy/nipy,BSD-3-Clause,2010-05-02 10:00:33.000000,2021-06-20 21:19:21.000000,2021-03-29 16:56:48.000000,123,43.0,110.0,301.0,6427.0,Neuroimaging in Python FMRI analysis package.,63.0,23,True,2018-02-19 14:14:08.000000,0.4.2,6.0,nipy,conda-forge/nipy,,,,82.0,,https://pypi.org/project/nipy,2018-02-19 14:14:08.000000,82.0,1690.0,3413.0,https://anaconda.org/conda-forge/nipy,2020-05-04 19:38:04.112000,82731.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n473,Recommenders,microsoft/recommenders,,recommender-systems,https://github.com/microsoft/recommenders,https://github.com/microsoft/recommenders,MIT,2018-09-19 10:06:07.000000,2021-07-01 13:35:58.000000,2021-06-17 16:41:09.000000,1808,144.0,455.0,10504.0,6334.0,Best Practices on Recommendation Systems.,96.0,22,True,2021-06-18 15:59:34.000000,0.6.0,8.0,,,,,,2.0,2.0,,,,,0.0,,,,,,,,2.0,23.0,,,,,,,,,,,,,,,,,,,,,\n474,mmdnn,Microsoft/MMdnn,,model-serialisation,https://github.com/microsoft/MMdnn,https://github.com/microsoft/MMdnn,MIT,2017-08-16 08:03:52.000000,2021-03-01 14:17:24.000000,2020-08-14 02:32:30.000000,944,315.0,287.0,5371.0,1083.0,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,85.0,22,True,2020-07-24 06:34:39.000000,0.3.1,12.0,mmdnn,,,,,64.0,61.0,https://pypi.org/project/mmdnn,2020-07-24 06:34:39.000000,3.0,843.0,920.0,,,,,,,,2.0,3403.0,,,,,,,,,,,,,,,,,,,,,\n475,T5,google-research/text-to-text-transfer-transformer,,nlp,https://github.com/google-research/text-to-text-transfer-transformer,https://github.com/google-research/text-to-text-transfer-transformer,Apache-2.0,2019-10-17 21:45:14.000000,2021-06-30 17:32:10.000000,2021-06-30 17:32:07.000000,468,52.0,320.0,3470.0,,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,38.0,22,True,2021-03-03 15:19:14.000000,0.9.0,26.0,t5,,,,['tensorflow'],41.0,41.0,https://pypi.org/project/t5,2021-03-03 15:19:14.000000,0.0,7787.0,7787.0,,,,,,,,3.0,,,,,,,,-3.0,,,,,,,,,,,,,,\n476,PyAlgoTrade,gbeced/pyalgotrade,,financial-data,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54.000000,2021-04-19 00:39:07.000000,2018-08-21 02:42:52.000000,1216,45.0,82.0,3396.0,1156.0,Python Algorithmic Trading Library.,11.0,22,False,,,8.0,pyalgotrade,,,,,99.0,78.0,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25.000000,21.0,921.0,921.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n477,AdaNet,tensorflow/adanet,,hyperopt,https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24.000000,2020-07-09 21:03:28.000000,2020-07-09 20:51:04.000000,513,65.0,47.0,3286.0,439.0,Fast and flexible AutoML with learning guarantees.,26.0,22,True,2020-07-09 21:03:28.000000,0.9.0,13.0,adanet,,,,['tensorflow'],41.0,39.0,https://pypi.org/project/adanet,2020-07-09 21:03:28.000000,2.0,1206.0,1206.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n478,SHOGUN,shogun-toolbox/shogun,,ml-frameworks,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32.000000,2021-03-05 12:19:13.000000,2020-12-08 16:56:38.000000,1049,462.0,1082.0,2829.0,16205.0,Unified and efficient Machine Learning.,248.0,22,True,2019-07-05 10:23:31.000000,shogun_6.1.4,10.0,,conda-forge/shogun,shogun/shogun,,,,,,,,,2144.0,https://anaconda.org/conda-forge/shogun,2018-06-25 20:49:17.070000,102391.0,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1461.0,3.0,,,,,,,,,,shogun,,,,,,,,,,,,\n479,gpt-2-simple,minimaxir/gpt-2-simple,,nlp,https://github.com/minimaxir/gpt-2-simple,https://github.com/minimaxir/gpt-2-simple,MIT,2019-04-13 20:00:52.000000,2021-06-17 00:27:42.000000,2021-02-14 19:39:38.000000,547,144.0,93.0,2707.0,133.0,Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts.,17.0,22,True,2021-02-14 21:13:20.000000,0.7.2,16.0,gpt-2-simple,,,,['tensorflow'],6.0,,https://pypi.org/project/gpt-2-simple,2021-02-14 20:20:24.000000,6.0,10213.0,10221.0,,,,,,,,3.0,226.0,,,,,,,,,,,,,,,,,,,,,\n480,speechbrain,speechbrain/speechbrain,,audio,https://github.com/speechbrain/speechbrain,https://github.com/speechbrain/speechbrain,Apache-2.0,2020-04-28 17:48:45.000000,2021-06-30 21:23:07.000000,2021-06-30 15:51:29.000000,353,45.0,267.0,2526.0,,A PyTorch-based Speech Toolkit.,106.0,22,True,2021-06-17 01:25:19.000000,0.5.9,8.0,speechbrain,,,,['pytorch'],26.0,26.0,https://pypi.org/project/speechbrain,2021-06-17 01:26:07.000000,,2781.0,2781.0,,,,,,,,3.0,,,,,,,,,,,,,,,True,,,,,,,\n481,tensorflow-graphics,tensorflow/graphics,,image,https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44.000000,2021-07-01 14:11:19.000000,2021-07-01 08:41:34.000000,297,121.0,85.0,2478.0,678.0,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,33.0,22,True,2020-05-20 19:56:41.000000,2020.5.20,21.0,tensorflow-graphics,,,,['tensorflow'],5.0,2.0,https://pypi.org/project/tensorflow-graphics,2020-05-20 19:56:41.000000,3.0,3964.0,3964.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n482,Porcupine,Picovoice/Porcupine,,audio,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000000,2021-06-29 18:23:17.000000,2021-06-29 18:20:59.000000,362,11.0,311.0,2470.0,497.0,On-device wake word detection powered by deep learning.,27.0,22,True,2021-04-14 16:39:57.000000,1.9.5,19.0,pvporcupine,,,,,5.0,5.0,https://pypi.org/project/pvporcupine,2021-04-14 16:39:57.000000,0.0,776.0,776.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n483,Hummingbird,microsoft/hummingbird,,model-serialisation,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000000,2021-06-22 21:43:50.000000,2021-06-22 21:24:25.000000,184,48.0,166.0,2450.0,,Hummingbird compiles trained ML models into tensor computation for faster inference.,22.0,22,True,2021-06-22 21:28:04.000000,0.4.0,13.0,hummingbird-ml,,,,,18.0,18.0,https://pypi.org/project/hummingbird-ml,2021-06-22 21:26:04.000000,,3595.0,3603.0,,,,,,,,2.0,117.0,,,,,,,,,,,,,,,,,,,,,\n484,Luminoth,tryolabs/luminoth,,image,https://github.com/tryolabs/luminoth,https://github.com/tryolabs/luminoth,BSD-3-Clause,2017-02-16 15:07:46.000000,2021-05-21 16:21:18.000000,2020-01-07 20:53:25.000000,401,50.0,127.0,2377.0,838.0,Deep Learning toolkit for Computer Vision.,15.0,22,False,2018-11-09 21:35:17.000000,0.2.3,10.0,luminoth,,,,['tensorflow'],33.0,31.0,https://pypi.org/project/luminoth,2018-11-09 21:35:17.000000,2.0,1048.0,1303.0,,,,,,,,3.0,11513.0,,,,,,,,,,,,,,,,,,,,,\n485,MMLSpark,Azure/mmlspark,,distributed-ml,https://github.com/Azure/mmlspark,https://github.com/Azure/mmlspark,MIT,2017-06-05 08:23:44.000000,2021-07-01 14:04:37.000000,2021-06-27 17:15:59.000000,536,215.0,241.0,2364.0,862.0,Microsoft Machine Learning for Apache Spark.,68.0,22,True,2020-10-02 19:36:01.000000,1.0.0-rc3,17.0,mmlspark,,,,['spark'],,,https://pypi.org/project/mmlspark,2020-03-18 01:27:31.000000,,30200.0,30200.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n486,FinRL,AI4Finance-LLC/FinRL,,reinforcement-learning,https://github.com/AI4Finance-LLC/FinRL,https://github.com/AI4Finance-LLC/FinRL,MIT,2020-07-26 13:18:16.000000,2021-06-30 01:27:07.000000,2021-06-30 01:27:07.000000,571,55.0,100.0,2232.0,710.0,A Deep Reinforcement Learning Library for Automated Trading in Quantitative Finance. NeurIPS 2020.,25.0,22,True,2021-02-28 17:05:19.000000,0.3.0,4.0,finrl,,,,,6.0,6.0,https://pypi.org/project/finrl,2021-02-28 17:05:19.000000,,284.0,284.0,,,,,,,,3.0,,,,,,,,,,,,,,,True,,,,,,,\n487,Texar,asyml/texar,,nlp,https://github.com/asyml/texar,https://github.com/asyml/texar,Apache-2.0,2017-07-22 19:02:05.000000,2020-09-17 07:03:55.000000,2020-07-29 00:38:30.000000,356,33.0,126.0,2176.0,1719.0,\"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the..\",41.0,22,True,2019-11-19 04:11:18.000000,0.2.4,6.0,texar,,,,['tensorflow'],17.0,15.0,https://pypi.org/project/texar,2019-11-19 04:11:18.000000,2.0,176.0,176.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n488,knockknock,huggingface/knockknock,,ml-experiments,https://github.com/huggingface/knockknock,https://github.com/huggingface/knockknock,MIT,2019-03-20 13:08:55.000000,2021-07-01 07:54:07.000000,2020-03-16 04:26:47.000000,171,13.0,21.0,2166.0,75.0,Knock Knock: Get notified when your training ends with only two additional lines of code.,18.0,22,False,2020-03-04 04:15:47.000000,0.1.8,10.0,knockknock,conda-forge/knockknock,,,,186.0,183.0,https://pypi.org/project/knockknock,2020-03-16 14:30:23.000000,3.0,2291.0,2618.0,https://anaconda.org/conda-forge/knockknock,2020-03-17 01:52:16.317000,6874.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n489,Mars,mars-project/mars,,others,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03.000000,2021-07-01 11:48:35.000000,2021-06-30 12:15:48.000000,258,122.0,701.0,2154.0,822.0,\"Mars is a tensor-based unified framework for large-scale data computation which scales Numpy, pandas, Scikit-learn and..\",21.0,22,True,2021-06-25 15:30:33.000000,0.6.10,85.0,pymars,,,,,0.0,,https://pypi.org/project/pymars,2021-06-26 09:09:50.000000,0.0,1876.0,1876.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n490,DDSP,magenta/ddsp,,audio,https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27.000000,2021-07-01 00:11:14.000000,2021-07-01 00:11:05.000000,189,19.0,97.0,1887.0,,DDSP: Differentiable Digital Signal Processing.,27.0,22,True,2021-06-02 20:59:06.000000,1.3.1,33.0,ddsp,,,,['tensorflow'],11.0,11.0,https://pypi.org/project/ddsp,2021-06-03 20:56:31.000000,,1492.0,1492.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n491,m2cgen,BayesWitnesses/m2cgen,,model-serialisation,https://github.com/BayesWitnesses/m2cgen,https://github.com/BayesWitnesses/m2cgen,MIT,2019-01-13 02:32:55.000000,2021-06-30 18:15:01.000000,2021-06-30 18:15:00.000000,153,36.0,45.0,1823.0,278.0,\"Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart,..\",12.0,22,True,2020-09-18 19:17:26.000000,0.9.0,12.0,m2cgen,,,,,6.0,6.0,https://pypi.org/project/m2cgen,2020-09-18 19:16:17.000000,,31655.0,31655.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n492,vidgear,abhiTronix/vidgear,,image,https://github.com/abhiTronix/vidgear,https://github.com/abhiTronix/vidgear,Apache-2.0,2019-03-17 02:42:42.000000,2021-07-01 02:25:26.000000,2021-04-25 17:12:04.000000,132,4.0,151.0,1823.0,649.0,High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features.,6.0,22,True,2021-04-25 18:49:14.000000,idgear-0.2.1,13.0,vidgear,,,,,116.0,114.0,https://pypi.org/project/vidgear,2021-01-01 07:57:09.000000,2.0,2224.0,2236.0,,,,,,,,3.0,353.0,,,,,,,,,,,,,,,,,,,,,\n493,accelerate,huggingface/accelerate,,pytorch-utils,https://github.com/huggingface/accelerate,https://github.com/huggingface/accelerate,Apache-2.0,2020-10-30 13:27:12.000000,2021-06-28 14:21:29.000000,2021-06-28 14:21:29.000000,71,17.0,48.0,1557.0,,\"A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision.\",20.0,22,True,2021-04-29 15:45:04.000000,0.3.0,5.0,accelerate,,,,['pytorch'],75.0,75.0,https://pypi.org/project/accelerate,2021-04-29 15:44:34.000000,,11463.0,11463.0,,,,,,,,2.0,,,,,,,,,,,,,,,True,,,,,,,\n494,PaddleSeg,PaddlePaddle/PaddleSeg,,image,https://github.com/PaddlePaddle/PaddleSeg,https://github.com/PaddlePaddle/PaddleSeg,Apache-2.0,2019-08-26 02:32:22.000000,2021-07-01 12:11:31.000000,2021-07-01 12:11:31.000000,374,286.0,258.0,1495.0,,End-to-end image segmentation kit based on PaddlePaddle.,49.0,22,True,2021-05-19 15:22:18.000000,2.1.0,11.0,paddleseg,,,,['paddle'],174.0,174.0,https://pypi.org/project/paddleseg,2021-05-19 15:22:18.000000,0.0,313.0,313.0,,,,,,,,3.0,,,,,,,,,,,,,,,True,,,,,,,\n495,Magnitude,plasticityai/magnitude,,nn-search,https://github.com/plasticityai/magnitude,https://github.com/plasticityai/magnitude,MIT,2018-02-24 07:28:16.000000,2021-02-23 18:10:43.000000,2020-07-17 20:19:46.000000,101,28.0,50.0,1455.0,350.0,\"A fast, efficient universal vector embedding utility package.\",4.0,22,True,2020-05-25 11:26:36.000000,0.1.143,128.0,pymagnitude,,,,,206.0,192.0,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36.000000,14.0,4775.0,4775.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n496,Talos,autonomio/talos,,hyperopt,https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41.000000,2021-05-27 09:49:51.000000,2021-05-27 09:49:50.000000,233,41.0,352.0,1412.0,559.0,\"Hyperparameter Optimization for TensorFlow, Keras and PyTorch.\",19.0,22,True,2020-11-09 16:48:30.000000,1.0,14.0,talos,,,,['tensorflow'],125.0,119.0,https://pypi.org/project/talos,2020-11-09 16:49:08.000000,6.0,2157.0,2157.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n497,anaGo,Hironsan/anago,,nlp,https://github.com/Hironsan/anago,https://github.com/Hironsan/anago,MIT,2017-06-26 21:28:36.000000,2021-06-01 21:53:57.000000,2021-04-01 12:34:50.000000,361,36.0,71.0,1409.0,298.0,\"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.\",11.0,22,True,2018-07-17 01:59:21.000000,1.0.8,14.0,anago,,,,['tensorflow'],31.0,26.0,https://pypi.org/project/anago,2018-07-17 01:59:21.000000,5.0,1602.0,1602.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n498,pygraphistry,graphistry/pygraphistry,,graph,https://github.com/graphistry/pygraphistry,https://github.com/graphistry/pygraphistry,BSD-3-Clause,2015-06-02 20:28:42.000000,2021-06-28 08:28:49.000000,2021-04-30 01:50:29.000000,126,45.0,98.0,1401.0,730.0,\"PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated..\",15.0,22,True,2021-03-27 00:02:04.000000,0.18.1,113.0,graphistry,,,,['jupyter'],49.0,45.0,https://pypi.org/project/graphistry,2021-04-30 01:52:32.000000,4.0,1076.0,1076.0,,,,,,,,2.0,,,,,,,,,,,,,,,True,,,,,,,\n499,Torchmeta,tristandeleu/pytorch-meta,,pytorch-utils,https://github.com/tristandeleu/pytorch-meta,https://github.com/tristandeleu/pytorch-meta,MIT,2018-12-04 23:36:45.000000,2021-04-13 10:29:29.000000,2021-03-19 14:47:19.000000,160,34.0,77.0,1369.0,342.0,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.,10.0,22,True,2021-03-19 14:49:53.000000,1.7.0,27.0,torchmeta,,,,['pytorch'],49.0,49.0,https://pypi.org/project/torchmeta,2021-03-19 14:49:53.000000,,1079.0,1079.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n500,fklearn,nubank/fklearn,,ml-frameworks,https://github.com/nubank/fklearn,https://github.com/nubank/fklearn,Apache-2.0,2019-02-27 14:32:57.000000,2021-04-28 13:19:12.000000,2021-04-28 13:19:08.000000,149,19.0,20.0,1324.0,118.0,fklearn: Functional Machine Learning.,37.0,22,True,2021-02-09 17:12:04.000000,1.22.0,20.0,fklearn,,,,,10.0,10.0,https://pypi.org/project/fklearn,2021-02-09 17:12:04.000000,,7789.0,7789.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n501,NiftyNet,NifTK/NiftyNet,,medical-data,https://github.com/NifTK/NiftyNet,https://github.com/NifTK/NiftyNet,Apache-2.0,2017-08-30 07:55:43.000000,2020-04-21 19:54:52.000000,2020-04-21 19:54:51.000000,385,102.0,224.0,1286.0,2848.0,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,58.0,22,False,2019-10-10 10:59:33.000000,0.6.0,11.0,niftynet,,,,['tensorflow'],36.0,35.0,https://pypi.org/project/niftynet,2019-10-10 10:59:33.000000,1.0,250.0,250.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n502,jiant,nyu-mll/jiant,,nlp,https://github.com/nyu-mll/jiant,https://github.com/nyu-mll/jiant,MIT,2018-06-18 18:12:47.000000,2021-06-03 06:06:06.000000,2021-05-21 21:21:09.000000,242,56.0,479.0,1274.0,1918.0,jiant is an nlp toolkit.,55.0,22,True,2021-05-10 18:56:39.000000,2.2.0,19.0,jiant,,,,,2.0,2.0,https://pypi.org/project/jiant,2021-05-10 18:56:39.000000,,280.0,280.0,,,,,,,,3.0,,,,,,,,,,,,,,,True,,,,,,,\n503,FARM,deepset-ai/FARM,,nlp,https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12.000000,2021-07-01 12:46:36.000000,2021-06-24 18:06:42.000000,186,38.0,353.0,1256.0,580.0,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,35.0,22,True,2021-06-10 09:45:12.000000,0.8.0,24.0,farm,,,,['pytorch'],2.0,,https://pypi.org/project/farm,2021-06-10 09:41:53.000000,2.0,7931.0,7931.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n504,MLBox,AxeldeRomblay/MLBox,,hyperopt,https://github.com/AxeldeRomblay/MLBox,https://github.com/AxeldeRomblay/MLBox,BSD-1-Clause,2017-06-01 16:59:24.000000,2021-05-21 15:42:44.000000,2020-08-25 09:26:27.000000,253,15.0,74.0,1229.0,1121.0,MLBox is a powerful Automated Machine Learning python library.,9.0,22,False,2020-08-25 09:32:37.000000,0.8.5,21.0,mlbox,,,,,26.0,26.0,https://pypi.org/project/mlbox,2020-08-25 09:32:37.000000,,2411.0,2411.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n505,Pypeline,cgarciae/pypeln,,data-pipelines,https://github.com/cgarciae/pypeln,https://github.com/cgarciae/pypeln,MIT,2018-09-01 13:43:31.000000,2021-05-01 11:58:40.000000,2021-04-13 00:55:39.000000,71,14.0,37.0,1222.0,235.0,Concurrent data pipelines in Python .,10.0,22,True,2021-01-05 18:00:06.000000,0.4.7,34.0,pypeln,,,,,10.0,,https://pypi.org/project/pypeln,2021-01-05 18:00:06.000000,10.0,22172.0,22172.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n506,Darts,unit8co/darts,,time-series-data,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000000,2021-07-01 14:46:00.000000,2021-05-22 11:02:38.000000,126,21.0,73.0,1181.0,369.0,A python library for easy manipulation and forecasting of time series.,29.0,22,True,2021-05-22 11:18:25.000000,0.8.1,13.0,u8darts,,unit8/darts,,,6.0,6.0,https://pypi.org/project/u8darts,2021-05-22 11:18:25.000000,0.0,5249.0,5252.0,,,,https://hub.docker.com/r/unit8/darts,2021-05-22 11:13:37.525957,,129.0,2.0,,,,,,,,,,,,,,,,,,,,,,\n507,Higher,facebookresearch/higher,,pytorch-utils,https://github.com/facebookresearch/higher,https://github.com/facebookresearch/higher,Apache-2.0,2019-09-06 18:58:36.000000,2021-06-21 15:17:40.000000,2021-06-21 15:17:40.000000,84,35.0,48.0,1167.0,30.0,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,9.0,22,True,2020-07-14 12:20:32.000000,0.2.1,2.0,higher,,,,['pytorch'],59.0,59.0,https://pypi.org/project/higher,2020-07-14 12:20:32.000000,0.0,31793.0,31793.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n508,TabNet,dreamquark-ai/tabnet,,pytorch-utils,https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000000,2021-06-24 08:47:54.000000,2021-05-27 09:32:27.000000,220,37.0,125.0,1114.0,168.0,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,18.0,22,True,2021-02-02 08:05:11.000000,3.1.1,17.0,pytorch-tabnet,,,,['pytorch'],0.0,,https://pypi.org/project/pytorch-tabnet,2021-02-02 08:05:11.000000,0.0,13323.0,13323.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n509,Optimus,hi-primus/optimus,,data-pipelines,https://github.com/hi-primus/optimus,https://github.com/hi-primus/optimus,Apache-2.0,2017-07-13 02:31:18.000000,2021-06-30 23:35:51.000000,2021-06-30 21:49:22.000000,194,39.0,171.0,1025.0,3530.0,\"Agile Data Preparation Workflows madeeasy with Pandas, Dask, cuDF, Dask-cuDF and PySpark.\",23.0,22,True,2020-07-19 03:05:40.000000,2.2.32,85.0,optimuspyspark,,,,['spark'],,,https://pypi.org/project/optimuspyspark,2019-05-30 02:22:54.000000,,8163.0,8163.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n510,ChainerRL,chainer/chainerrl,,reinforcement-learning,https://github.com/chainer/chainerrl,https://github.com/chainer/chainerrl,MIT,2017-01-30 04:58:15.000000,2021-04-17 06:02:31.000000,2021-04-17 06:02:30.000000,207,75.0,147.0,963.0,3471.0,ChainerRL is a deep reinforcement learning library built on top of Chainer.,29.0,22,True,2020-02-14 05:35:56.000000,0.8.0,10.0,chainerrl,,,,,114.0,100.0,https://pypi.org/project/chainerrl,2020-02-14 05:35:56.000000,14.0,859.0,859.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n511,Explainability 360,Trusted-AI/AIX360,,interpretability,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48.000000,2021-05-02 10:43:29.000000,2021-05-02 10:43:29.000000,173,27.0,23.0,874.0,307.0,Interpretability and explainability of data and machine learning models.,27.0,22,True,2020-10-28 09:32:21.000000,0.2.1,4.0,aix360,,,,,22.0,21.0,https://pypi.org/project/aix360,2020-10-28 09:18:17.000000,1.0,1541.0,1541.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n512,scikit-cuda,lebedov/scikit-cuda,,gpu-utilities,https://github.com/lebedov/scikit-cuda,https://github.com/lebedov/scikit-cuda,BSD-3-Clause,2010-09-27 02:02:07.000000,2021-03-30 14:24:47.000000,2021-03-30 14:24:27.000000,162,44.0,165.0,841.0,1029.0,Python interface to GPU-powered libraries.,44.0,22,True,2019-05-27 00:29:00.000000,0.5.3,7.0,scikit-cuda,,,,,203.0,133.0,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00.000000,70.0,856.0,856.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n513,tf-explain,sicara/tf-explain,,interpretability,https://github.com/sicara/tf-explain,https://github.com/sicara/tf-explain,MIT,2019-07-15 08:26:24.000000,2021-06-22 10:19:30.000000,2021-06-22 10:19:30.000000,79,33.0,47.0,839.0,199.0,Interpretability Methods for tf.keras models with Tensorflow 2.x.,15.0,22,True,2021-02-16 18:59:38.000000,0.3.0,7.0,tf-explain,,,,['tensorflow'],83.0,81.0,https://pypi.org/project/tf-explain,2021-02-16 18:59:38.000000,2.0,1670.0,1670.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n514,lightning-flash,PyTorchLightning/lightning-flash,,pytorch-utils,https://github.com/PyTorchLightning/lightning-flash,https://github.com/PyTorchLightning/lightning-flash,Apache-2.0,2021-01-28 18:47:16.000000,2021-06-30 15:29:55.000000,2021-06-29 12:18:21.000000,62,52.0,91.0,790.0,465.0,\"Collection of tasks for fast prototyping, baselining, finetuning and solving problems with deep learning.\",31.0,22,True,2021-06-22 11:20:42.000000,0.4.0,22.0,lightning-flash,,,,['pytorch'],12.0,12.0,https://pypi.org/project/lightning-flash,2021-06-22 11:20:42.000000,0.0,2154.0,2154.0,,,,,,,,2.0,,,,,,,,,,,,,,,True,,,,,,,\n515,Madmom,CPJKU/madmom,,audio,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06.000000,2021-05-06 10:13:17.000000,2019-12-19 14:46:37.000000,128,54.0,182.0,757.0,1722.0,Python audio and music signal processing library.,19.0,22,False,2018-11-14 14:57:41.000000,0.16.1,11.0,madmom,,,,,167.0,133.0,https://pypi.org/project/madmom,2018-11-14 14:56:22.000000,34.0,3520.0,3520.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n516,kapre,keunwoochoi/kapre,,audio,https://github.com/keunwoochoi/kapre,https://github.com/keunwoochoi/kapre,MIT,2016-12-14 18:36:36.000000,2021-03-25 21:02:49.000000,2021-03-25 21:02:44.000000,129,9.0,80.0,752.0,190.0,kapre: Keras Audio Preprocessors.,13.0,22,True,2021-03-18 22:14:02.000000,Kapre-0.3.5,21.0,kapre,,,,['tensorflow'],904.0,882.0,https://pypi.org/project/kapre,2020-09-29 18:49:13.000000,22.0,2016.0,2016.0,,,,,,,,3.0,12.0,,,,,,,,,,,,,,,,,,,,,\n517,alibi-detect,SeldonIO/alibi-detect,,others,https://github.com/SeldonIO/alibi-detect,https://github.com/SeldonIO/alibi-detect,Apache-2.0,2019-10-07 13:29:13.000000,2021-07-01 11:28:14.000000,2021-06-30 14:37:51.000000,78,62.0,76.0,737.0,362.0,\"Algorithms for outlier, adversarial and drift detection.\",8.0,22,True,2021-06-07 11:23:29.000000,0.7.0,15.0,alibi-detect,,,,,28.0,27.0,https://pypi.org/project/alibi-detect,2021-06-07 11:21:33.000000,1.0,13760.0,13760.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n518,Node2Vec,eliorc/node2vec,,graph,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000000,2021-04-16 07:45:36.000000,2021-04-16 07:42:56.000000,175,3.0,61.0,730.0,56.0,Implementation of the node2vec algorithm.,8.0,22,True,2021-04-16 07:45:36.000000,0.4.3,14.0,node2vec,conda-forge/node2vec,,,,164.0,154.0,https://pypi.org/project/node2vec,2021-04-02 06:33:26.000000,10.0,13621.0,14094.0,https://anaconda.org/conda-forge/node2vec,2020-04-25 22:41:13.714000,17988.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n519,gmaps,pbugnion/gmaps,,geospatial-data,https://github.com/pbugnion/gmaps,https://github.com/pbugnion/gmaps,BSD-3-Clause,2014-12-01 09:12:06.000000,2020-10-13 07:09:18.000000,2019-07-22 06:22:45.000000,143,66.0,136.0,714.0,1380.0,Google maps for Jupyter notebooks.,16.0,22,False,2019-07-21 08:49:48.715000,0.9.0,94.0,gmaps,conda-forge/gmaps,,,['jupyter'],75.0,1.0,https://pypi.org/project/gmaps,2019-07-21 08:49:39.000000,74.0,8889.0,15310.0,https://anaconda.org/conda-forge/gmaps,2019-08-02 11:56:50.940000,231777.0,,,,,3.0,,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715000,,1786.0,,,,,,,,,,,,,,,\n520,torch-scatter,rusty1s/pytorch_scatter,,pytorch-utils,https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23.000000,2021-06-26 17:16:35.000000,2021-06-26 17:16:32.000000,79,71.0,130.0,695.0,910.0,PyTorch Extension Library of Optimized Scatter Operations.,15.0,22,True,2021-06-07 06:25:31.000000,2.0.7,27.0,torch-scatter,,,,['pytorch'],32.0,,https://pypi.org/project/torch-scatter,2021-06-07 06:25:31.000000,32.0,27520.0,27520.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n521,lets-plot,JetBrains/lets-plot,,data-viz,https://github.com/JetBrains/lets-plot,https://github.com/JetBrains/lets-plot,MIT,2019-03-20 16:13:03.000000,2021-07-01 14:50:21.000000,2021-06-30 21:29:51.000000,22,73.0,108.0,637.0,2000.0,An open-source plotting library for statistical data.,15.0,22,True,2021-06-09 19:56:57.000000,2.0.4,36.0,lets-plot,,,,,10.0,10.0,https://pypi.org/project/lets-plot,2021-06-09 19:24:41.000000,0.0,4917.0,4921.0,,,,,,,,3.0,80.0,,,,,,,,,,,,,,,,,,,,,\n522,TensorBoard Logger,TeamHG-Memex/tensorboard_logger,,ml-experiments,https://github.com/TeamHG-Memex/tensorboard_logger,https://github.com/TeamHG-Memex/tensorboard_logger,MIT,2016-10-27 14:02:25.000000,2021-06-09 17:35:49.000000,2019-10-21 07:52:07.000000,52,9.0,15.0,613.0,46.0,Log TensorBoard events without touching TensorFlow.,5.0,22,False,2018-02-08 07:28:51.000000,0.1.0,5.0,tensorboard_logger,,,,,96.0,,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51.000000,96.0,73462.0,73462.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n523,audiomentations,iver56/audiomentations,,audio,https://github.com/iver56/audiomentations,https://github.com/iver56/audiomentations,MIT,2019-02-12 16:36:24.000000,2021-06-29 13:16:29.000000,2021-06-29 12:47:34.000000,76,22.0,58.0,606.0,412.0,A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.,16.0,22,True,2021-06-25 11:15:10.000000,0.17.0,19.0,audiomentations,,,,,53.0,53.0,https://pypi.org/project/audiomentations,2021-06-25 11:15:10.000000,,2982.0,2982.0,,,,,,,,3.0,,,,,,,,,,,,,,,True,,,,,,,\n524,Guild AI,guildai/guildai,,ml-experiments,https://github.com/guildai/guildai,https://github.com/guildai/guildai,Apache-2.0,2017-09-27 18:57:50.000000,2021-06-10 20:12:32.000000,2021-06-10 20:12:32.000000,43,104.0,170.0,600.0,4532.0,\"Experiment tracking, ML developer tools.\",17.0,22,True,2021-03-25 22:43:31.000000,0.7.3,170.0,guildai,,,,,31.0,31.0,https://pypi.org/project/guildai,2021-04-12 20:27:53.000000,,3215.0,3215.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n525,Mapbox GL,mapbox/mapboxgl-jupyter,,geospatial-data,https://github.com/mapbox/mapboxgl-jupyter,https://github.com/mapbox/mapboxgl-jupyter,MIT,2017-08-08 15:10:51.000000,2021-05-31 23:04:25.000000,2021-04-19 05:00:36.000000,121,35.0,67.0,570.0,221.0,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,21.0,22,True,2019-06-03 21:24:10.000000,0.10.2,20.0,mapboxgl,,,,['jupyter'],125.0,107.0,https://pypi.org/project/mapboxgl,2019-06-02 15:18:57.000000,18.0,4399.0,4399.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n526,explainerdashboard,oegedijk/explainerdashboard,,interpretability,https://github.com/oegedijk/explainerdashboard,https://github.com/oegedijk/explainerdashboard,MIT,2019-10-30 08:26:16.000000,2021-06-27 19:57:46.000000,2021-06-27 19:57:46.000000,69,8.0,95.0,570.0,1195.0,Quickly build Explainable AI dashboards that show the inner workings of so-called blackbox machine learning models.,11.0,22,True,2021-05-07 11:11:58.000000,0.3.5,75.0,explainerdashboard,,,,,28.0,28.0,https://pypi.org/project/explainerdashboard,2021-05-07 11:11:58.000000,,6575.0,6575.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n527,tinytag,devsnd/tinytag,,audio,https://github.com/devsnd/tinytag,https://github.com/devsnd/tinytag,MIT,2014-01-27 15:27:01.000000,2021-06-13 14:21:06.000000,2021-06-13 14:20:35.000000,82,16.0,66.0,465.0,322.0,\"Read music meta data and length of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA and Wave files with python 2 or 3.\",20.0,22,True,2020-11-05 12:44:52.000000,1.5.0,33.0,tinytag,,,,,474.0,378.0,https://pypi.org/project/tinytag,2020-11-05 12:44:52.000000,96.0,5415.0,5415.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n528,PyTorch Sparse,rusty1s/pytorch_sparse,,pytorch-utils,https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53.000000,2021-06-27 19:48:25.000000,2021-06-27 10:40:31.000000,55,53.0,69.0,426.0,585.0,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,15.0,22,True,2021-06-17 07:47:37.000000,0.6.10,22.0,torch-sparse,,,,['pytorch'],34.0,,https://pypi.org/project/torch-sparse,2021-06-17 07:47:37.000000,34.0,21255.0,21255.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n529,torch-cluster,rusty1s/pytorch_cluster,,graph,https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06.000000,2021-06-26 17:15:51.000000,2021-06-26 17:15:48.000000,74,41.0,44.0,385.0,543.0,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,18.0,22,True,2021-03-01 13:58:47.000000,1.5.9,39.0,torch-cluster,,,,['pytorch'],32.0,,https://pypi.org/project/torch-cluster,2021-03-01 12:28:43.000000,32.0,11138.0,11138.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n530,lazypredict,shankarpandala/lazypredict,,hyperopt,https://github.com/shankarpandala/lazypredict,https://github.com/shankarpandala/lazypredict,MIT,2019-11-16 09:56:35.000000,2021-06-24 18:13:52.000000,2021-06-21 10:12:37.000000,84,22.0,30.0,380.0,195.0,Lazy Predict help build a lot of basic models without much code and helps understand which models works better without..,13.0,22,True,2021-02-17 15:38:45.000000,0.2.9,11.0,lazypredict,,,,['sklearn'],102.0,102.0,https://pypi.org/project/lazypredict,2021-02-17 15:38:45.000000,,5610.0,5610.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n531,Studio.ml,studioml/studio,,ml-experiments,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28.000000,2021-06-14 17:19:56.000000,2021-06-14 17:08:42.000000,52,55.0,195.0,373.0,2395.0,Studio: Simplify and expedite model building process.,21.0,22,True,2021-05-30 21:35:06.000000,0.0.47,204.0,studioml,,,,,4.0,4.0,https://pypi.org/project/studioml,2021-06-14 17:19:56.000000,,2255.0,2255.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n532,GeoViews,holoviz/geoviews,,geospatial-data,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000000,2021-04-13 11:40:25.000000,2021-04-13 11:40:25.000000,64,80.0,180.0,351.0,656.0,\"Simple, concise geographical visualization in Python.\",23.0,22,True,2021-03-13 16:29:11.000000,1.9.1,26.0,geoviews,conda-forge/geoviews,,,,20.0,,https://pypi.org/project/geoviews,2021-03-13 16:29:11.000000,20.0,6668.0,8455.0,https://anaconda.org/conda-forge/geoviews,2021-03-14 15:19:05.550000,71514.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n533,joypy,leotac/joypy,,data-viz,https://github.com/leotac/joypy,https://github.com/leotac/joypy,MIT,2017-07-30 17:18:50.000000,2021-06-13 10:07:53.000000,2021-06-13 10:07:43.000000,35,6.0,36.0,336.0,111.0,Joyplots in Python with matplotlib & pandas.,5.0,22,True,2020-12-28 11:54:36.000000,0.2.4,16.0,joypy,conda-forge/joypy,,,,93.0,87.0,https://pypi.org/project/joypy,2020-12-28 11:54:36.000000,6.0,75315.0,75670.0,https://anaconda.org/conda-forge/joypy,2020-12-28 14:07:53.760000,9955.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n534,pySBD,nipunsadvilkar/pySBD,,nlp,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20.000000,2021-04-25 08:42:15.000000,2021-02-11 16:40:18.000000,31,8.0,48.0,327.0,279.0,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,6.0,22,True,2021-02-11 16:42:37.000000,0.3.4,15.0,pysbd,,,,,178.0,174.0,https://pypi.org/project/pysbd,2021-02-11 16:36:33.000000,4.0,29363.0,29363.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n535,scikit-rebate,EpistasisLab/scikit-rebate,,others,https://github.com/EpistasisLab/scikit-rebate,https://github.com/EpistasisLab/scikit-rebate,MIT,2016-09-19 13:36:17.000000,2021-05-18 21:20:09.000000,2021-02-15 17:10:59.000000,58,13.0,19.0,324.0,283.0,\"A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for..\",13.0,22,True,2017-04-12 16:12:01.000000,0.3.4,13.0,skrebate,,,,['sklearn'],202.0,140.0,https://pypi.org/project/skrebate,2021-03-20 17:11:52.000000,62.0,3430.0,3430.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n536,pysparkling,svenkreiss/pysparkling,,data-pipelines,https://github.com/svenkreiss/pysparkling,https://github.com/svenkreiss/pysparkling,MIT,2015-05-09 19:23:20.000000,2021-03-05 14:35:43.000000,2021-02-22 17:29:11.000000,45,7.0,21.0,237.0,1527.0,A pure Python implementation of Apache Spark's RDD and DStream interfaces.,10.0,22,False,2021-01-10 21:15:26.000000,0.6.1,68.0,pysparkling,,,,,81.0,67.0,https://pypi.org/project/pysparkling,2021-01-10 21:15:26.000000,14.0,18493.0,18493.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n537,py3nvml,fbcotter/py3nvml,,gpu-utilities,https://github.com/fbcotter/py3nvml,https://github.com/fbcotter/py3nvml,BSD-3-Clause,2016-11-21 01:07:37.000000,2020-10-10 10:41:08.987000,2020-04-23 06:54:42.000000,24,1.0,10.0,180.0,79.0,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,6.0,22,False,2020-04-06 16:02:10.000000,0.2.6,13.0,py3nvml,conda-forge/py3nvml,,,,314.0,294.0,https://pypi.org/project/py3nvml,2020-04-06 16:02:10.000000,20.0,123329.0,124376.0,https://anaconda.org/conda-forge/py3nvml,2020-10-10 10:41:08.987000,18861.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,\n538,stop-words,Alir3z4/python-stop-words,,nlp,https://github.com/Alir3z4/python-stop-words,https://github.com/Alir3z4/python-stop-words,BSD-3-Clause,2014-05-26 06:44:03.000000,2019-10-16 15:01:43.000000,2018-07-23 21:04:09.000000,23,3.0,9.0,129.0,90.0,Get list of common stop words in various languages in Python.,8.0,22,False,2018-07-23 20:58:34.000000,2018.7.23,8.0,stop-words,,,,,1505.0,1247.0,https://pypi.org/project/stop-words,2018-07-23 20:55:55.000000,258.0,85718.0,85718.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n539,PyStan,stan-dev/pystan,,probabilistics,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,ISC,2017-03-06 19:56:42.094000,2021-06-03 10:18:34.000000,2021-06-03 10:18:34.000000,20,13.0,131.0,98.0,,\"PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io.\",8.0,22,False,2021-06-03 10:17:59.000000,3.2.0,64.0,pystan,conda-forge/pystan,,,,342.0,,https://pypi.org/project/pystan,2021-06-03 10:17:59.000000,342.0,1414732.0,1435618.0,https://anaconda.org/conda-forge/pystan,2021-05-12 13:39:30.313000,1086107.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n540,Dejavu,worldveil/dejavu,,audio,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35.000000,2020-10-29 17:40:17.000000,2020-06-03 05:58:03.000000,1250,84.0,129.0,5460.0,146.0,Audio fingerprinting and recognition in Python.,23.0,21,False,2015-04-19 21:20:16.000000,0.1.3,4.0,PyDejavu,,,,,21.0,18.0,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16.000000,3.0,151.0,151.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n541,english-words,dwyl/english-words,,nlp,https://github.com/dwyl/english-words,https://github.com/dwyl/english-words,Unlicense,2014-07-13 22:20:45.000000,2021-02-20 06:08:26.000000,2020-10-15 08:03:00.000000,1135,42.0,26.0,5307.0,83.0,A text file containing 479k English words for all your dictionary/word-based projects e.g: auto-completion /..,25.0,21,True,2018-08-21 00:29:28.000000,1.0.3,4.0,english-words,,,,,2.0,,https://pypi.org/project/english-words,2018-08-21 00:29:28.000000,2.0,12993.0,12993.0,,,,,,,,3.0,,,,,,,,,,,,,,,True,,,,,,,\n542,Qlib,microsoft/qlib,,financial-data,https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000000,2021-07-01 14:36:00.000000,2021-06-30 02:59:34.000000,854,82.0,174.0,5201.0,,\"Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research,..\",47.0,21,True,2021-02-02 09:29:47.000000,0.6.2,16.0,pyqlib,,,,['pytorch'],4.0,4.0,https://pypi.org/project/pyqlib,2021-02-02 09:29:47.000000,,4895.0,4921.0,,,,,,,,3.0,265.0,,,,,,,,,,,,,,,,,,,,,\n543,vit-pytorch,lucidrains/vit-pytorch,,image,https://github.com/lucidrains/vit-pytorch,https://github.com/lucidrains/vit-pytorch,MIT,2020-10-03 22:47:24.000000,2021-06-16 23:47:10.000000,2021-06-16 23:46:32.000000,615,48.0,65.0,4855.0,,\"Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single..\",8.0,21,True,2021-06-16 23:47:10.000000,0.19.6,83.0,vit-pytorch,,,,['pytorch'],22.0,22.0,https://pypi.org/project/vit-pytorch,2021-06-16 23:47:10.000000,,3221.0,3221.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n544,MMF,facebookresearch/mmf,,image,https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40.000000,2021-06-30 21:15:38.000000,2021-06-30 21:15:33.000000,694,151.0,390.0,4470.0,911.0,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,68.0,21,True,2019-08-26 19:04:21.000000,0.3.1,12.0,mmf,,,,['pytorch'],7.0,7.0,https://pypi.org/project/mmf,2020-06-12 22:15:02.000000,0.0,307.0,307.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n545,mace,XiaoMi/mace,,ml-frameworks,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12.000000,2021-06-29 06:30:32.000000,2021-06-29 06:24:09.000000,770,41.0,609.0,4420.0,3201.0,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,63.0,21,True,2021-03-18 10:07:32.000000,1.0.4,11.0,,,,,,,,,,,,38.0,,,,,,,,3.0,1353.0,,,,,,,,,,,,,,,,,,,,,\n546,Image Deduplicator,idealo/imagededup,,image,https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54.000000,2021-03-16 10:25:33.000000,2020-11-23 17:40:40.000000,305,20.0,57.0,3650.0,460.0,Finding duplicate images made easy!.,9.0,21,True,2020-11-23 17:55:24.000000,0.2.4,9.0,imagededup,,,,['tensorflow'],16.0,14.0,https://pypi.org/project/imagededup,2020-11-22 21:09:36.000000,2.0,2590.0,2590.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n547,deep-daze,lucidrains/deep-daze,,image,https://github.com/lucidrains/deep-daze,https://github.com/lucidrains/deep-daze,MIT,2021-01-17 06:00:50.000000,2021-06-26 04:25:26.000000,2021-04-19 01:13:10.000000,235,49.0,64.0,3472.0,,Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation..,12.0,21,True,2021-04-08 01:08:57.000000,0.10.2,64.0,deep-daze,,,,,17.0,17.0,https://pypi.org/project/deep-daze,2021-04-07 18:15:40.000000,,4229.0,4229.0,,,,,,,,3.0,,,,,,,,,,,,,,,True,,,,,,,\n548,TensorWatch,microsoft/tensorwatch,,ml-experiments,https://github.com/microsoft/tensorwatch,https://github.com/microsoft/tensorwatch,MIT,2019-05-15 08:29:34.000000,2021-04-13 09:44:02.000000,2021-01-15 19:46:05.000000,331,50.0,15.0,3131.0,112.0,\"Debugging, monitoring and visualization for Python Machine Learning and Data Science.\",13.0,21,True,2020-03-04 07:26:22.000000,0.9.1,14.0,tensorwatch,,,,,57.0,51.0,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22.000000,6.0,6822.0,6822.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n549,TRFL,deepmind/trfl,,reinforcement-learning,https://github.com/deepmind/trfl,https://github.com/deepmind/trfl,Apache-2.0,2018-08-08 14:44:11.000000,2020-11-06 04:44:44.000000,2020-04-20 13:05:56.000000,372,6.0,16.0,3068.0,116.0,TensorFlow Reinforcement Learning.,12.0,21,False,2020-04-20 14:11:57.000000,1.1.0,4.0,trfl,,,,['tensorflow'],52.0,50.0,https://pypi.org/project/trfl,2020-04-20 14:11:57.000000,2.0,1589.0,1589.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n550,NeMo,NVIDIA/NeMo,,nlp,https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000000,2021-07-01 08:52:12.000000,2021-06-25 18:04:57.000000,543,81.0,531.0,2855.0,,NeMo: a toolkit for conversational AI.,95.0,21,True,2021-06-11 01:45:45.000000,1.0.2,39.0,nemo-toolkit,,,,['pytorch'],4.0,,https://pypi.org/project/nemo-toolkit,2021-06-11 01:43:57.000000,4.0,6771.0,6957.0,,,,,,,,3.0,4099.0,,,,,,,,,,,,,,,,,,,,,\n551,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,,graph,https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16.000000,2021-06-21 07:50:06.000000,2021-06-21 07:50:01.000000,375,41.0,114.0,2808.0,147.0,Generate embeddings from large-scale graph-structured data.,21.0,21,True,2019-10-14 16:45:11.000000,1.0.0,3.0,torchbiggraph,,,,['pytorch'],4.0,,https://pypi.org/project/torchbiggraph,2019-05-01 21:31:13.000000,4.0,1190.0,1194.0,,,,,,,,3.0,113.0,,,,,,,,,,,,,,,,,,,,,\n552,finmarketpy,cuemacro/finmarketpy,,financial-data,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03.000000,2021-06-29 12:18:31.000000,2021-06-29 12:18:26.000000,438,23.0,3.0,2594.0,674.0,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,14.0,21,True,2021-06-01 16:13:24.000000,0.11.9,10.0,finmarketpy,,,,,3.0,3.0,https://pypi.org/project/finmarketpy,2021-06-01 16:13:24.000000,,182.0,182.0,,,,,,,,3.0,39.0,,,,,,,,,,,,,,,,,,,,,\n553,layout-parser,Layout-Parser/layout-parser,,image,https://github.com/Layout-Parser/layout-parser,https://github.com/Layout-Parser/layout-parser,Apache-2.0,2020-06-10 20:22:54.000000,2021-06-16 06:05:10.000000,2021-04-26 03:50:16.000000,175,18.0,16.0,2235.0,142.0,A unified toolkit for Deep Learning Based Document Image Analysis.,4.0,21,True,2021-04-12 20:00:00.000000,0.2.0,6.0,layoutparser,,,,,9.0,9.0,https://pypi.org/project/layoutparser,2021-04-12 20:00:00.000000,,1875.0,1875.0,,,,,,,,3.0,,,,,,,,,,,,,,,True,,,,,,,\n554,MONAI,Project-MONAI/MONAI,,medical-data,https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000000,2021-07-01 14:58:32.000000,2021-07-01 13:49:51.000000,386,112.0,896.0,2082.0,,AI Toolkit for Healthcare Imaging.,71.0,21,True,2021-06-01 20:50:14.000000,0.5.3,23.0,monai,,,,['pytorch'],0.0,,https://pypi.org/project/monai,2021-06-29 17:28:08.000000,0.0,8879.0,8879.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n555,PARL,PaddlePaddle/PARL,,reinforcement-learning,https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22.000000,2021-07-01 05:09:29.000000,2021-07-01 04:55:23.000000,498,52.0,188.0,2065.0,1.0,A high-performance distributed training framework for Reinforcement Learning.,25.0,21,True,2021-06-17 09:28:06.000000,2.0.1,21.0,parl,,,,['paddle'],72.0,72.0,https://pypi.org/project/parl,2021-06-17 09:28:06.000000,,731.0,731.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n556,cleanlab,cgnorthcutt/cleanlab,,others,https://github.com/cgnorthcutt/cleanlab,https://github.com/cgnorthcutt/cleanlab,AGPL-3.0,2018-05-11 01:55:21.000000,2021-06-06 01:28:39.000000,2021-06-06 01:28:39.000000,193,19.0,43.0,2011.0,808.0,The standard package for machine learning with noisy labels and finding mislabeled data. Works with most datasets and..,6.0,21,False,2021-04-18 19:52:49.000000,1.0,15.0,cleanlab,,,,,16.0,16.0,https://pypi.org/project/cleanlab,2020-02-17 07:33:06.000000,,5145.0,5145.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n557,STUMPY,TDAmeritrade/stumpy,,time-series-data,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000000,2021-06-30 00:24:27.000000,2021-06-20 16:54:53.000000,176,28.0,217.0,1824.0,,\"STUMPY is a powerful and scalable Python library for computing a Matrix Profile, which can be used for a variety of..\",23.0,21,True,2021-02-04 19:05:43.000000,1.8.0,19.0,stumpy,conda-forge/stumpy,,,,0.0,,https://pypi.org/project/stumpy,2021-02-04 19:05:43.000000,0.0,57631.0,58542.0,https://anaconda.org/conda-forge/stumpy,2021-02-05 23:28:08.904000,23707.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n558,vissl,facebookresearch/vissl,,image,https://github.com/facebookresearch/vissl,https://github.com/facebookresearch/vissl,MIT,2020-04-09 19:40:33.000000,2021-06-30 17:38:30.000000,2021-06-30 17:38:25.000000,156,37.0,43.0,1760.0,195.0,\"VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.\",24.0,21,True,2021-03-02 18:51:51.000000,0.1.5,5.0,vissl,,,,['pytorch'],,,https://pypi.org/project/vissl,2021-01-25 17:22:19.000000,,531.0,531.0,,,,,,,,3.0,,,,,,,,,,,,,,,True,,,,,,,\n559,Sweetviz,fbdesignpro/sweetviz,,data-viz,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47.000000,2021-05-28 14:19:52.000000,2021-05-28 12:53:42.000000,168,22.0,59.0,1647.0,101.0,\"Visualize and compare datasets, target values and associations, with one line of code.\",6.0,21,True,2021-05-28 14:19:52.000000,2.1.2,30.0,sweetviz,,,,,0.0,,https://pypi.org/project/sweetviz,2021-05-27 19:27:40.000000,0.0,28912.0,28912.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n560,reformer-pytorch,lucidrains/reformer-pytorch,,pytorch-utils,https://github.com/lucidrains/reformer-pytorch,https://github.com/lucidrains/reformer-pytorch,MIT,2020-01-09 20:42:37.000000,2021-05-09 14:50:10.000000,2021-05-09 14:49:27.000000,203,11.0,100.0,1526.0,243.0,\"Reformer, the efficient Transformer, in Pytorch.\",10.0,21,True,2021-05-09 14:49:45.000000,1.4.2,137.0,reformer-pytorch,,,,['pytorch'],,,https://pypi.org/project/reformer-pytorch,2021-05-09 14:50:10.000000,,1699.0,1699.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n561,lore,instacart/lore,,ml-experiments,https://github.com/instacart/lore,https://github.com/instacart/lore,MIT,2017-10-19 21:51:45.000000,2021-05-26 18:44:09.000000,2020-05-11 22:26:45.000000,119,16.0,18.0,1514.0,270.0,Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers.,22.0,21,False,2020-05-11 22:28:23.000000,0.8.4,231.0,lore,,,,,17.0,16.0,https://pypi.org/project/lore,2020-05-11 22:28:23.000000,1.0,693.0,693.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n562,hiddenlayer,waleedka/hiddenlayer,,ml-experiments,https://github.com/waleedka/hiddenlayer,https://github.com/waleedka/hiddenlayer,MIT,2018-05-18 22:34:51.000000,2021-06-12 16:54:12.000000,2020-04-24 06:58:09.000000,214,45.0,34.0,1473.0,58.0,\"Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.\",6.0,21,False,2018-12-03 04:33:29.000000,0.2,3.0,hiddenlayer,,,,\"['pytorch', 'tensorflow', 'jupyter']\",82.0,74.0,https://pypi.org/project/hiddenlayer,2020-04-24 07:32:11.000000,8.0,2701.0,2701.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n563,EfficientNets,rwightman/gen-efficientnet-pytorch,,pytorch-utils,https://github.com/rwightman/gen-efficientnet-pytorch,https://github.com/rwightman/gen-efficientnet-pytorch,Apache-2.0,2019-05-11 19:35:56.000000,2021-04-16 18:42:01.000000,2020-11-30 05:49:27.000000,177,,48.0,1351.0,106.0,\"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.\",5.0,21,True,2020-08-20 19:55:21.000000,1.0.0,9.0,geffnet,,,,['pytorch'],61.0,61.0,https://pypi.org/project/geffnet,2020-08-20 19:55:21.000000,0.0,5251.0,5251.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n564,Classy Vision,facebookresearch/ClassyVision,,image,https://github.com/facebookresearch/ClassyVision,https://github.com/facebookresearch/ClassyVision,MIT,2019-09-13 22:54:44.000000,2021-06-28 22:00:56.000000,2021-06-28 22:00:51.000000,229,49.0,54.0,1296.0,374.0,An end-to-end PyTorch framework for image and video classification.,62.0,21,True,2020-11-20 21:02:29.000000,0.5.0,15.0,classy_vision,conda-forge/classy_vision,,,['pytorch'],0.0,,https://pypi.org/project/classy_vision,2020-11-20 21:02:29.000000,0.0,1953.0,2409.0,https://anaconda.org/conda-forge/classy_vision,2020-12-11 20:08:25.437000,8212.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n565,CausalNex,quantumblacklabs/causalnex,,interpretability,https://github.com/quantumblacklabs/causalnex,https://github.com/quantumblacklabs/causalnex,Apache-2.0,2019-12-12 15:26:09.000000,2021-06-19 10:57:44.000000,2021-05-11 18:43:42.000000,126,37.0,44.0,1174.0,117.0,A Python library that helps data scientists to infer causation rather than observing correlation.,18.0,21,True,2021-05-11 18:35:56.000000,0.10.0,15.0,causalnex,,,,\"['pytorch', 'sklearn']\",14.0,14.0,https://pypi.org/project/causalnex,2021-05-11 18:35:56.000000,,2170.0,2170.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n566,pytorch-forecasting,jdb78/pytorch-forecasting,,time-series-data,https://github.com/jdb78/pytorch-forecasting,https://github.com/jdb78/pytorch-forecasting,MIT,2020-07-03 13:05:24.000000,2021-07-01 14:09:37.000000,2021-06-30 19:46:01.000000,139,72.0,190.0,1167.0,930.0,Time series forecasting with PyTorch.,17.0,21,True,2021-06-04 17:48:44.000000,0.9.0,27.0,pytorch-forecasting,,,,,,,https://pypi.org/project/pytorch-forecasting,2021-06-04 17:48:44.000000,,10550.0,10550.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n567,tensorrec,jfkirk/tensorrec,,recommender-systems,https://github.com/jfkirk/tensorrec,https://github.com/jfkirk/tensorrec,Apache-2.0,2017-02-28 18:51:11.000000,2021-06-08 20:06:07.000000,2020-02-04 21:10:25.000000,215,34.0,90.0,1146.0,334.0,A TensorFlow recommendation algorithm and framework in Python.,8.0,21,False,2019-04-02 00:53:47.000000,0.26.2,30.0,tensorrec,,,,['tensorflow'],29.0,26.0,https://pypi.org/project/tensorrec,2019-04-02 00:53:47.000000,3.0,696.0,696.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n568,RecBole,RUCAIBox/RecBole,,recommender-systems,https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000000,2021-07-01 12:24:39.000000,2021-06-16 06:30:47.000000,165,33.0,102.0,1087.0,3023.0,\"A unified, comprehensive and efficient recommendation library.\",40.0,21,True,2021-04-06 09:53:37.000000,0.2.1,5.0,recbole,aibox/recbole,,,['pytorch'],,,https://pypi.org/project/recbole,2021-03-22 14:22:38.000000,,469.0,531.0,https://anaconda.org/aibox/recbole,2021-03-22 14:53:52.593000,500.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n569,TaskTiger,closeio/tasktiger,,data-pipelines,https://github.com/closeio/tasktiger,https://github.com/closeio/tasktiger,MIT,2015-05-14 00:26:32.000000,2021-06-14 12:52:20.000000,2021-06-14 12:52:20.000000,59,36.0,35.0,1081.0,269.0,Python task queue using Redis.,22.0,21,True,2021-04-21 06:15:46.000000,0.15,25.0,tasktiger,,,,,38.0,20.0,https://pypi.org/project/tasktiger,2021-04-16 07:36:13.000000,18.0,1318.0,1318.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n570,gplearn,trevorstephens/gplearn,,others,https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14.000000,2021-07-01 00:24:09.000000,2021-07-01 00:24:09.000000,162,35.0,123.0,948.0,147.0,\"Genetic Programming in Python, with a scikit-learn inspired API.\",10.0,21,True,2019-06-01 02:04:52.000000,0.4.1,5.0,gplearn,,,,['sklearn'],187.0,173.0,https://pypi.org/project/gplearn,2019-06-01 02:04:52.000000,14.0,1675.0,1675.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n571,luminol,linkedin/luminol,,time-series-data,https://github.com/linkedin/luminol,https://github.com/linkedin/luminol,Apache-2.0,2015-11-18 23:16:33.000000,2020-12-27 09:54:35.000000,2018-01-09 07:46:55.000000,189,31.0,12.0,940.0,69.0,Anomaly Detection and Correlation library.,8.0,21,False,2016-01-20 01:01:44.000000,0.3.1,5.0,luminol,,,,,68.0,40.0,https://pypi.org/project/luminol,2017-12-11 06:04:15.000000,28.0,41822.0,41822.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n572,geoplotlib,andrea-cuttone/geoplotlib,,geospatial-data,https://github.com/andrea-cuttone/geoplotlib,https://github.com/andrea-cuttone/geoplotlib,MIT,2015-02-24 13:13:07.000000,2020-04-10 20:00:31.000000,2019-05-06 07:06:50.000000,155,30.0,18.0,918.0,159.0,python toolbox for visualizing geographical data and making maps.,8.0,21,False,2016-07-27 14:55:01.000000,0.3.2,4.0,geoplotlib,,,,,116.0,105.0,https://pypi.org/project/geoplotlib,2016-07-27 14:55:01.000000,11.0,1737.0,1737.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n573,TF Recommenders,tensorflow/recommenders,,recommender-systems,https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01.000000,2021-06-23 20:01:45.000000,2021-06-23 20:01:39.000000,116,77.0,74.0,891.0,,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,23.0,21,True,2021-05-17 16:37:44.000000,0.5.1,10.0,tensorflow-recommenders,,,,['tensorflow'],27.0,27.0,https://pypi.org/project/tensorflow-recommenders,2021-05-17 16:37:44.000000,0.0,25987.0,25987.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n574,TFEncrypted,tf-encrypted/tf-encrypted,,privacy-ml,https://github.com/tf-encrypted/tf-encrypted,https://github.com/tf-encrypted/tf-encrypted,Apache-2.0,2018-03-21 18:22:13.000000,2021-04-21 08:39:31.000000,2020-08-19 16:56:56.000000,150,168.0,232.0,889.0,595.0,A Framework for Encrypted Machine Learning in TensorFlow.,28.0,21,True,2019-09-27 20:00:01.000000,0.5.9,35.0,tf-encrypted,,,,['tensorflow'],70.0,54.0,https://pypi.org/project/tf-encrypted,2019-10-21 18:05:53.000000,16.0,562.0,562.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n575,keras-ocr,faustomorales/keras-ocr,,ocr,https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50.000000,2021-06-30 10:06:10.000000,2021-06-18 05:03:36.000000,215,41.0,99.0,874.0,180.0,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,10.0,21,True,2021-06-14 13:06:32.000000,0.8.7,27.0,keras-ocr,,,,['tensorflow'],2.0,,https://pypi.org/project/keras-ocr,2021-06-14 13:06:32.000000,2.0,4855.0,10092.0,,,,,,,,3.0,52373.0,,,,,,,,,,,,,,,,,,,,,\n576,Satpy,pytroll/satpy,,geospatial-data,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000000,2021-06-30 09:24:55.000000,2021-06-29 15:16:06.000000,201,307.0,370.0,722.0,,Python package for earth-observing satellite data processing.,110.0,21,False,2021-06-06 14:38:31.000000,0.29.0,68.0,satpy,conda-forge/satpy,,,,49.0,43.0,https://pypi.org/project/satpy,2021-06-06 14:38:31.000000,6.0,1353.0,3181.0,https://anaconda.org/conda-forge/satpy,2021-06-06 21:57:26.187000,65809.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n577,mlens,flennerhag/mlens,,others,https://github.com/flennerhag/mlens,https://github.com/flennerhag/mlens,MIT,2017-01-10 20:53:47.000000,2020-02-25 14:32:48.000000,2020-02-25 14:31:53.000000,88,8.0,73.0,692.0,879.0,ML-Ensemble high performance ensemble learning.,7.0,21,False,2018-10-30 22:34:35.000000,0.2.3,14.0,mlens,,,,,140.0,137.0,https://pypi.org/project/mlens,2018-10-30 22:30:43.000000,3.0,16647.0,16647.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n578,Saliency,PAIR-code/saliency,,tensorflow-utils,https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35.000000,2021-06-22 15:29:23.000000,2021-06-21 14:03:32.000000,156,17.0,12.0,687.0,77.0,\"Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).\",14.0,21,True,2021-05-03 16:33:29.000000,0.1.3,10.0,saliency,,,,['tensorflow'],18.0,16.0,https://pypi.org/project/saliency,2021-05-03 16:33:29.000000,2.0,1154.0,1154.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n579,TreeInterpreter,andosa/treeinterpreter,,interpretability,https://github.com/andosa/treeinterpreter,https://github.com/andosa/treeinterpreter,BSD-3-Clause,2015-08-02 20:26:21.000000,2021-02-28 18:33:06.000000,2021-02-28 18:33:06.000000,132,24.0,4.0,669.0,37.0,Package for interpreting scikit-learn's decision tree and random forest predictions.,11.0,21,True,2021-01-10 20:12:39.000000,0.2.3,5.0,treeinterpreter,,,,['sklearn'],163.0,145.0,https://pypi.org/project/treeinterpreter,2021-01-10 20:12:39.000000,18.0,180506.0,180506.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n580,Prince,MaxHalford/prince,,others,https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000000,2021-04-15 19:05:12.000000,2021-01-11 21:14:58.000000,123,32.0,66.0,655.0,179.0,\"Python factor analysis library (PCA, CA, MCA, MFA, FAMD).\",9.0,21,True,2020-10-06 11:26:47.000000,0.7.1,41.0,prince,,,,['sklearn'],138.0,132.0,https://pypi.org/project/prince,2020-10-06 11:26:47.000000,6.0,20243.0,20243.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n581,pdpipe,pdpipe/pdpipe,,data-pipelines,https://github.com/pdpipe/pdpipe,https://github.com/pdpipe/pdpipe,MIT,2017-01-24 20:37:22.000000,2021-06-20 13:05:01.000000,2021-06-20 12:59:10.000000,28,7.0,15.0,610.0,343.0,Easy pipelines for pandas DataFrames.,8.0,21,True,2021-02-23 19:40:09.000000,0.0.51,49.0,pdpipe,,,,['pandas'],31.0,31.0,https://pypi.org/project/pdpipe,2020-11-09 09:32:37.000000,0.0,1782.0,1782.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n582,Feature Engine,solegalli/feature_engine,,others,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2018-12-31 01:47:18.000000,2021-06-30 14:21:52.000000,2021-06-22 09:18:33.000000,154,28.0,91.0,575.0,121.0,Feature engineering package with sklearn like functionality.,23.0,21,True,2021-06-22 09:56:39.000000,1.1.0,26.0,feature_engine,conda-forge/feature_engine,,,,2.0,,https://pypi.org/project/feature_engine,2021-06-22 08:04:44.000000,2.0,28055.0,28374.0,https://anaconda.org/conda-forge/feature_engine,2021-06-22 09:58:00.823000,3514.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n583,pickleDB,patx/pickledb,,data-containers,https://github.com/patx/pickledb,https://github.com/patx/pickledb,BSD-3-Clause,2011-10-28 00:04:40.000000,2021-03-23 21:52:22.000000,2019-11-15 03:38:30.000000,97,22.0,39.0,567.0,105.0,pickleDB is an open source key-value store using Python's json module.,11.0,21,False,2019-01-14 18:48:25.000000,0.9.2,20.0,pickledb,,,,,744.0,632.0,https://pypi.org/project/pickledb,2019-01-14 18:48:25.000000,112.0,17361.0,17361.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n584,combo,yzhao062/combo,,sklearn-utils,https://github.com/yzhao062/combo,https://github.com/yzhao062/combo,BSD-2-Clause,2019-07-14 01:13:36.000000,2021-03-29 00:05:33.000000,2021-03-15 01:39:54.000000,85,9.0,3.0,502.0,202.0,(AAAI' 20) A Python Toolbox for Machine Learning Model Combination.,1.0,21,True,2020-12-23 02:21:49.000000,0.1.2,12.0,combo,,,,\"['sklearn', 'xgboost']\",363.0,363.0,https://pypi.org/project/combo,2020-12-23 02:21:49.000000,0.0,58756.0,58756.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n585,nnAudio,KinWaiCheuk/nnAudio,,audio,https://github.com/KinWaiCheuk/nnAudio,https://github.com/KinWaiCheuk/nnAudio,MIT,2019-09-02 04:31:14.000000,2021-06-29 14:21:06.000000,2021-06-29 14:21:05.000000,49,9.0,31.0,488.0,257.0,Audio processing by using pytorch 1D convolution network.,11.0,21,True,2021-06-11 06:57:25.000000,0.2.4,34.0,nnAudio,,,,,15.0,15.0,https://pypi.org/project/nnAudio,2021-06-11 06:57:25.000000,,2084.0,2084.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n586,random-forest-importances,parrt/random-forest-importances,,interpretability,https://github.com/parrt/random-forest-importances,https://github.com/parrt/random-forest-importances,MIT,2018-03-22 19:20:13.000000,2021-01-30 21:50:08.000000,2021-01-30 21:50:02.000000,98,4.0,27.0,452.0,249.0,Code to compute permutation and drop-column importances in Python scikit-learn models.,14.0,21,True,2021-01-28 23:23:17.000000,1.3.7,22.0,rfpimp,,,,['sklearn'],75.0,71.0,https://pypi.org/project/rfpimp,2021-01-28 23:19:33.000000,4.0,17624.0,17624.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n587,pivottablejs,nicolaskruchten/jupyter_pivottablejs,,data-viz,https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,MIT,2015-09-09 13:39:18.000000,2018-12-04 14:43:26.000000,2018-12-04 14:43:25.000000,59,16.0,37.0,438.0,32.0,\"Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js.\",3.0,21,False,2018-01-15 18:14:37.000000,0.9.0,10.0,pivottablejs,,,,['jupyter'],208.0,174.0,https://pypi.org/project/pivottablejs,2018-01-15 18:14:37.000000,34.0,14430.0,14430.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n588,Neuraxle,Neuraxio/Neuraxle,,hyperopt,https://github.com/Neuraxio/Neuraxle,https://github.com/Neuraxio/Neuraxle,Apache-2.0,2019-03-26 21:01:54.000000,2021-07-01 13:32:57.000000,2021-06-29 02:42:45.000000,48,147.0,160.0,424.0,1547.0,A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right..,7.0,21,True,2021-06-29 01:10:09.000000,0.6.0,21.0,neuraxle,,,,,20.0,20.0,https://pypi.org/project/neuraxle,2021-06-29 00:24:34.000000,0.0,384.0,384.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n589,Submit it,facebookincubator/submitit,,distributed-ml,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09.000000,2021-06-17 20:35:33.000000,2021-06-17 20:35:33.000000,32,22.0,25.0,416.0,66.0,Python 3.6+ toolbox for submitting jobs to Slurm.,14.0,21,True,2021-04-08 08:01:58.000000,1.3.2,13.0,submitit,conda-forge/submitit,,,,170.0,170.0,https://pypi.org/project/submitit,2021-04-08 08:01:58.000000,0.0,5831.0,6120.0,https://anaconda.org/conda-forge/submitit,2021-02-10 12:48:57.745000,3187.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n590,FiftyOne,voxel51/fiftyone,,data-viz,https://github.com/voxel51/fiftyone,https://github.com/voxel51/fiftyone,Apache-2.0,2020-04-22 13:43:28.000000,2021-07-01 15:23:14.000000,2021-07-01 13:37:41.000000,34,137.0,296.0,415.0,5467.0,\"Visualize, create, and debug image and video datasets and model predictions.\",11.0,21,True,2021-06-29 17:50:39.000000,0.11.1,55.0,fiftyone,,,,\"['tensorflow', 'pytorch', 'jupyter']\",6.0,6.0,https://pypi.org/project/fiftyone,2021-06-29 17:50:39.000000,0.0,4921.0,4921.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n591,skope-rules,scikit-learn-contrib/skope-rules,,sklearn-utils,https://github.com/scikit-learn-contrib/skope-rules,https://github.com/scikit-learn-contrib/skope-rules,BSD-1-Clause,2018-02-18 13:42:47.000000,2021-05-12 08:25:18.000000,2020-10-23 14:31:57.000000,65,23.0,5.0,399.0,247.0,machine learning with logical rules in Python.,18.0,21,False,2020-12-11 09:37:02.000000,1.0.1,4.0,skope-rules,,,,['sklearn'],43.0,37.0,https://pypi.org/project/skope-rules,2020-01-25 12:01:37.000000,6.0,27761.0,27761.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n592,aequitas,dssg/aequitas,,interpretability,https://github.com/dssg/aequitas,https://github.com/dssg/aequitas,MIT,2018-02-13 19:40:30.000000,2021-06-18 14:22:22.000000,2021-05-27 09:45:10.000000,76,35.0,21.0,394.0,857.0,Bias and Fairness Audit Toolkit.,16.0,21,True,2020-12-16 11:48:14.000000,0.42.0,16.0,aequitas,,,,,82.0,76.0,https://pypi.org/project/aequitas,2020-12-16 11:48:14.000000,6.0,1302.0,1302.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n593,AutoViz,AutoViML/AutoViz,,data-viz,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06.000000,2021-07-01 13:34:56.000000,2021-07-01 13:32:23.000000,67,4.0,24.0,385.0,98.0,\"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..\",10.0,21,True,2021-07-01 13:34:56.000000,0.0.83,27.0,autoviz,,,,,65.0,65.0,https://pypi.org/project/autoviz,2021-07-01 13:34:56.000000,0.0,3667.0,3667.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n594,optunity,claesenm/optunity,,hyperopt,https://github.com/claesenm/optunity,https://github.com/claesenm/optunity,BSD-3-Clause,2014-05-28 17:29:11.000000,2020-05-11 14:32:39.000000,2020-05-11 14:32:38.000000,73,47.0,48.0,371.0,782.0,optimization routines for hyperparameter tuning.,9.0,21,False,2015-09-30 05:02:00.000000,1.1.1,6.0,optunity,,,,,84.0,60.0,https://pypi.org/project/optunity,2015-09-30 05:02:00.000000,24.0,14706.0,14706.0,,,,,,,,3.0,64.0,,,,,,,,,,,,,,,,,,,,,\n595,Pandas Summary,mouradmourafiq/pandas-summary,,data-containers,https://github.com/mouradmourafiq/pandas-summary,https://github.com/mouradmourafiq/pandas-summary,MIT,2016-03-25 21:59:32.000000,2019-08-24 21:10:25.000000,2019-08-24 21:10:24.000000,35,8.0,5.0,365.0,24.0,An extension to pandas dataframes describe function.,6.0,21,False,2016-08-30 07:54:59.000000,0.0.41,8.0,pandas-summary,,,,['pandas'],718.0,628.0,https://pypi.org/project/pandas-summary,2016-08-30 07:54:59.000000,90.0,30571.0,30571.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n596,MedPy,loli/medpy,,medical-data,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34.000000,2020-05-01 15:25:39.000000,2020-05-01 15:25:38.000000,111,12.0,67.0,353.0,324.0,Medical image processing in Python.,13.0,21,False,2019-02-14 17:12:59.000000,0.4.0,6.0,MedPy,,,,,345.0,315.0,https://pypi.org/project/MedPy,2019-02-14 17:12:59.000000,30.0,8231.0,8231.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n597,ploomber,ploomber/ploomber,,data-pipelines,https://github.com/ploomber/ploomber,https://github.com/ploomber/ploomber,Apache-2.0,2020-01-20 20:13:06.000000,2021-06-26 01:26:44.000000,2021-06-26 01:03:43.000000,8,47.0,256.0,311.0,1888.0,\"Lean Data Science workflows: develop and test locally. Deploy to Kubernetes, AWS Batch, or Airflow.\",6.0,21,True,2021-06-09 02:00:25.000000,0.11.1,45.0,ploomber,,,,,13.0,13.0,https://pypi.org/project/ploomber,2021-06-09 02:00:25.000000,0.0,2775.0,2775.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n598,sklearn-evaluation,edublancas/sklearn-evaluation,,interpretability,https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2015-09-04 16:33:42.000000,2021-06-26 14:01:25.000000,2021-06-26 13:55:47.000000,28,8.0,29.0,310.0,522.0,\"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook..\",6.0,21,True,2021-06-26 14:03:00.000000,0.5.6,18.0,sklearn-evaluation,,,,['sklearn'],31.0,29.0,https://pypi.org/project/sklearn-evaluation,2021-06-26 14:01:25.000000,2.0,1127.0,1127.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n599,Auto ViML,AutoViML/Auto_ViML,,hyperopt,https://github.com/AutoViML/Auto_ViML,https://github.com/AutoViML/Auto_ViML,Apache-2.0,2019-06-10 13:09:15.000000,2021-05-17 02:25:55.000000,2021-05-17 02:24:37.000000,58,4.0,14.0,271.0,291.0,Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome...,6.0,21,False,2021-04-15 00:54:35.000000,0.1.681,131.0,autoviml,,,,,13.0,13.0,https://pypi.org/project/autoviml,2021-05-17 02:25:55.000000,0.0,1536.0,1536.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n600,Hyperactive,SimonBlanke/Hyperactive,,hyperopt,https://github.com/SimonBlanke/Hyperactive,https://github.com/SimonBlanke/Hyperactive,MIT,2018-11-01 08:53:30.000000,2021-07-01 14:49:37.000000,2021-06-28 14:09:47.000000,22,3.0,22.0,244.0,1894.0,A hyperparameter optimization and data collection toolbox for convenient and fast prototyping of machine-learning..,3.0,21,False,2021-07-01 14:49:37.000000,3.2.2,55.0,hyperactive,,,,,9.0,9.0,https://pypi.org/project/hyperactive,2021-07-01 14:49:37.000000,0.0,1595.0,1597.0,,,,,,,,3.0,71.0,,,,,,,,,,,,,,True,,,,,,,\n601,StaticFrame,InvestmentSystems/static-frame,,data-containers,https://github.com/InvestmentSystems/static-frame,https://github.com/InvestmentSystems/static-frame,MIT,2018-01-03 15:07:52.000000,2021-07-01 14:18:44.000000,2021-07-01 14:19:22.000000,22,30.0,276.0,231.0,2637.0,Immutable and grow-only Pandas-like DataFrames with a more explicit and consistent interface.,16.0,21,False,2021-06-14 19:18:02.000000,0.8.14,113.0,static-frame,conda-forge/static-frame,,,,9.0,9.0,https://pypi.org/project/static-frame,2021-06-14 19:15:57.000000,0.0,993.0,4220.0,https://anaconda.org/conda-forge/static-frame,2021-06-14 20:52:49.304000,93604.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n602,scikit-posthocs,maximtrp/scikit-posthocs,,probabilistics,https://github.com/maximtrp/scikit-posthocs,https://github.com/maximtrp/scikit-posthocs,MIT,2017-06-22 19:41:37.000000,2021-06-12 08:46:35.000000,2021-06-12 08:46:25.000000,22,4.0,37.0,212.0,458.0,Multiple Pairwise Comparisons (Post Hoc) Tests in Python.,8.0,21,False,2021-03-17 06:05:28.000000,0.6.7,21.0,scikit-posthocs,,,,['sklearn'],6.0,,https://pypi.org/project/scikit-posthocs,2021-03-15 16:05:51.000000,6.0,38994.0,38994.0,,,,,,,,3.0,19.0,,,,,,,,,,,,,,,,,,,,,\n603,cuDF,rapidsai/cudf,,gpu-utilities,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000000,2021-07-01 15:08:52.000000,2021-07-01 14:59:55.000000,529,597.0,3215.0,4021.0,,cuDF - GPU DataFrame Library.,216.0,20,True,2021-06-17 15:12:32.000000,21.06.01,12.0,cudf,,,,,4.0,,https://pypi.org/project/cudf,2020-06-01 20:07:47.000000,4.0,1042.0,1042.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n604,MindsDB,mindsdb/mindsdb,,ml-frameworks,https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,GPL-3.0,2018-08-02 17:56:45.000000,2021-07-01 12:49:12.000000,2021-06-15 16:58:32.000000,440,60.0,536.0,3783.0,,Predictive AI layer for existing databases.,56.0,20,False,2021-06-22 16:08:44.000000,2.38.0,54.0,mindsdb,,,,['pytorch'],6.0,,https://pypi.org/project/mindsdb,2019-03-19 05:07:23.000000,6.0,3796.0,3796.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n605,FATE,FederatedAI/FATE,,privacy-ml,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000000,2021-07-01 06:29:52.000000,2021-05-25 03:26:46.000000,916,323.0,569.0,3206.0,7605.0,An Industrial Grade Federated Learning Framework.,56.0,20,True,2021-03-31 14:56:10.000000,1.6.0,26.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n606,NLP Architect,IntelLabs/nlp-architect,,nlp,https://github.com/IntelLabs/nlp-architect,https://github.com/IntelLabs/nlp-architect,Apache-2.0,2018-05-17 21:00:13.000000,2021-06-10 23:23:07.000000,2021-04-13 08:02:56.000000,401,16.0,110.0,2693.0,953.0,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,36.0,20,True,2020-11-17 12:32:37.000000,0.5.5.1,13.0,nlp-architect,,,,,8.0,8.0,https://pypi.org/project/nlp-architect,2020-04-12 11:34:38.000000,,504.0,504.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n607,tf-quant-finance,google/tf-quant-finance,,financial-data,https://github.com/google/tf-quant-finance,https://github.com/google/tf-quant-finance,Apache-2.0,2019-07-24 16:09:50.000000,2021-06-30 02:38:20.000000,2021-06-29 17:45:23.000000,344,14.0,16.0,2687.0,728.0,High-performance TensorFlow library for quantitative finance.,33.0,20,True,,,22.0,tf-quant-finance,,,,['tensorflow'],6.0,6.0,https://pypi.org/project/tf-quant-finance,2021-04-13 13:30:21.000000,0.0,313.0,313.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n608,dpark,douban/dpark,,data-pipelines,https://github.com/douban/dpark,https://github.com/douban/dpark,BSD-3-Clause,2012-04-11 08:35:06.000000,2020-12-25 10:36:06.000000,2020-12-25 10:36:05.000000,554,,60.0,2661.0,1467.0,\"Python clone of Spark, a MapReduce alike framework in Python.\",35.0,20,True,2018-07-27 04:11:36.000000,0.5.0,19.0,dpark,,,,['spark'],4.0,3.0,https://pypi.org/project/dpark,2018-07-27 04:11:36.000000,1.0,82.0,82.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n609,DeepVariant,google/deepvariant,,medical-data,https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000000,2021-06-29 20:07:40.000000,2021-03-31 18:23:13.000000,551,5.0,417.0,2292.0,1503.0,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,19.0,20,True,2020-12-07 17:56:31.000000,1.1.0,15.0,,bioconda/deepvariant,,,['tensorflow'],,,,,,,813.0,https://anaconda.org/bioconda/deepvariant,2021-04-30 21:23:18.277000,30885.0,,,,,3.0,3368.0,,,,,,,,,,,,,,,,,,,,,\n610,DeepWalk,phanein/deepwalk,,graph,https://github.com/phanein/deepwalk,https://github.com/phanein/deepwalk,GPL-3.0,2014-08-23 03:38:20.000000,2020-04-02 01:05:36.000000,2020-04-02 01:05:35.000000,761,29.0,80.0,2264.0,46.0,DeepWalk - Deep Learning for Graphs.,10.0,20,False,2018-04-29 21:05:18.000000,1.0.3,4.0,deepwalk,,,,,46.0,39.0,https://pypi.org/project/deepwalk,2018-04-29 21:05:18.000000,7.0,3324.0,3324.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n611,HiPlot,facebookresearch/hiplot,,data-viz,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41.000000,2021-06-14 09:03:55.000000,2021-06-14 08:52:16.000000,98,9.0,56.0,2136.0,146.0,HiPlot makes understanding high dimensional data easy.,6.0,20,True,2021-06-11 10:48:14.000000,0.1.25,68.0,hiplot,conda-forge/hiplot,,,,2.0,2.0,https://pypi.org/project/hiplot,2021-06-14 09:03:55.000000,0.0,7885.0,11258.0,https://anaconda.org/conda-forge/hiplot,2021-06-11 12:15:07.547000,57347.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n612,Coach,IntelLabs/coach,,reinforcement-learning,https://github.com/IntelLabs/coach,https://github.com/IntelLabs/coach,Apache-2.0,2017-10-01 19:27:43.000000,2021-06-28 07:40:53.000000,2021-06-28 07:40:53.000000,392,86.0,183.0,1997.0,521.0,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,34.0,20,True,2019-10-10 14:17:10.000000,1.0.1,13.0,rl_coach,,,,,2.0,,https://pypi.org/project/rl_coach,2019-10-10 14:17:10.000000,2.0,303.0,303.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n613,fast-bert,utterworks/fast-bert,,nlp,https://github.com/utterworks/fast-bert,https://github.com/utterworks/fast-bert,Apache-2.0,2019-04-18 22:01:20.000000,2021-06-30 14:58:14.000000,2021-06-24 14:38:49.000000,321,146.0,93.0,1598.0,,Super easy library for BERT based NLP models.,35.0,20,True,2021-05-23 14:35:28.000000,1.9.9,43.0,fast-bert,,,,,2.0,,https://pypi.org/project/fast-bert,2021-05-23 14:35:28.000000,2.0,2186.0,2186.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n614,NeuroNER,Franck-Dernoncourt/NeuroNER,,nlp,https://github.com/Franck-Dernoncourt/NeuroNER,https://github.com/Franck-Dernoncourt/NeuroNER,MIT,2017-03-07 01:24:15.000000,2021-05-21 15:20:14.000000,2019-10-02 23:26:11.000000,442,81.0,67.0,1562.0,132.0,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,7.0,20,False,2019-10-02 23:30:15.000000,1.0.8,7.0,pyneuroner,,,,,10.0,10.0,https://pypi.org/project/pyneuroner,2019-10-02 23:30:15.000000,,163.0,163.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n615,auto_ml,ClimbsRocks/auto_ml,,hyperopt,https://github.com/ClimbsRocks/auto_ml,https://github.com/ClimbsRocks/auto_ml,MIT,2016-08-07 21:35:08.000000,2021-02-10 07:52:35.000000,2018-03-25 19:46:25.000000,295,185.0,216.0,1540.0,1149.0,[UNMAINTAINED] Automated machine learning for analytics & production.,13.0,20,False,2018-02-22 01:13:03.000000,2.9.10,78.0,auto_ml,,,,,2.0,,https://pypi.org/project/auto_ml,2018-02-22 01:13:03.000000,2.0,3148.0,3148.0,,,,,,,,3.0,33.0,,,,,,,,,,,,,,,,,,,,,\n616,DELTA,Delta-ML/delta,,nlp,https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57.000000,2021-06-30 14:04:39.793575,2020-12-17 06:57:15.000000,292,5.0,70.0,1425.0,932.0,DELTA is a deep learning based natural language and speech processing platform.,41.0,20,True,2020-07-16 09:31:45.000000,0.3.3,4.0,delta-nlp,,zh794390558/delta,,['tensorflow'],,,https://pypi.org/project/delta-nlp,2020-03-27 04:46:19.000000,,19.0,515.0,,,,https://hub.docker.com/r/zh794390558/delta,2021-06-30 14:04:39.793575,,12899.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n617,DLTK,DLTK/DLTK,,medical-data,https://github.com/DLTK/DLTK,https://github.com/DLTK/DLTK,Apache-2.0,2017-05-02 15:40:36.000000,2021-01-15 01:31:30.000000,2019-01-21 14:01:28.000000,388,11.0,24.0,1264.0,379.0,Deep Learning Toolkit for Medical Image Analysis.,9.0,20,False,2018-02-26 17:43:57.000000,0.2.1,5.0,dltk,,,,['tensorflow'],20.0,20.0,https://pypi.org/project/dltk,2018-02-26 17:43:57.000000,,213.0,213.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n618,datatable,h2oai/datatable,,data-containers,https://github.com/h2oai/datatable,https://github.com/h2oai/datatable,MPL-2.0,2017-03-03 02:32:59.000000,2021-07-01 07:44:34.000000,2021-06-30 22:19:39.000000,113,116.0,1177.0,1235.0,,A Python package for manipulating 2-dimensional tabular data structures.,28.0,20,True,2020-12-10 09:10:50.000000,0.11.1,15.0,datatable,,,,,6.0,,https://pypi.org/project/datatable,2020-12-10 08:04:03.000000,6.0,47075.0,47096.0,,,,,,,,3.0,995.0,,,,,,,,,,,,,,,,,,,,,\n619,lightly,lightly-ai/lightly,,image,https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000000,2021-07-01 07:12:47.000000,2021-07-01 07:12:46.000000,58,46.0,147.0,1039.0,476.0,A python library for self-supervised learning on images.,11.0,20,True,2021-06-29 15:05:21.000000,1.1.14,26.0,lightly,,,,['pytorch'],14.0,14.0,https://pypi.org/project/lightly,2021-06-29 15:07:36.000000,0.0,982.0,982.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n620,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,,pytorch-utils,https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000000,2021-06-30 11:11:53.000000,2021-06-30 11:11:49.000000,75,3.0,16.0,1034.0,675.0,PyTorch extensions for fast R&D prototyping and Kaggle farming.,5.0,20,True,2021-04-02 10:59:33.000000,0.4.3,21.0,pytorch_toolbelt,,,,['pytorch'],2.0,,https://pypi.org/project/pytorch_toolbelt,2021-04-02 10:59:33.000000,2.0,9504.0,9504.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n621,Sockeye,awslabs/sockeye,,nlp,https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30.000000,2021-06-17 10:51:22.000000,2021-05-30 20:04:06.000000,295,20.0,228.0,1008.0,750.0,Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet.,52.0,20,True,2021-06-17 10:51:22.000000,2.3.17,64.0,sockeye,,,,['mxnet'],2.0,,https://pypi.org/project/sockeye,2021-06-17 10:51:22.000000,2.0,667.0,667.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n622,pyts,johannfaouzi/pyts,,time-series-data,https://github.com/johannfaouzi/pyts,https://github.com/johannfaouzi/pyts,BSD-3-Clause,2017-07-31 09:23:16.000000,2021-05-26 11:15:05.000000,2021-05-26 11:15:03.000000,104,28.0,19.0,980.0,,A Python package for time series classification.,9.0,20,True,2020-03-21 12:41:33.000000,0.11.0,17.0,pyts,conda-forge/pyts,,,,130.0,126.0,https://pypi.org/project/pyts,2020-03-21 12:36:40.000000,4.0,15341.0,15681.0,https://anaconda.org/conda-forge/pyts,2020-03-21 14:08:24.734000,7835.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n623,fairlearn,fairlearn/fairlearn,,interpretability,https://github.com/fairlearn/fairlearn,https://github.com/fairlearn/fairlearn,MIT,2018-05-15 01:51:35.000000,2021-06-30 07:03:50.000000,2021-06-29 20:44:46.000000,218,110.0,148.0,969.0,,A Python package to assess and improve fairness of machine learning models.,46.0,20,True,2021-05-08 01:40:59.000000,0.6.2,15.0,fairlearn,conda-forge/fairlearn,,,['sklearn'],2.0,,https://pypi.org/project/fairlearn,2021-05-08 00:41:07.000000,2.0,18720.0,19489.0,https://anaconda.org/conda-forge/fairlearn,2021-05-08 07:44:53.037000,13087.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n624,fastFM,ibayer/fastFM,,recommender-systems,https://github.com/ibayer/fastFM,https://github.com/ibayer/fastFM,BSD-3-Clause,2014-10-27 12:25:51.000000,2021-03-24 12:22:31.000000,2021-03-24 12:22:31.000000,187,44.0,59.0,924.0,297.0,fastFM: A Library for Factorization Machines.,20.0,20,True,2017-11-23 06:59:56.000000,0.2.11,10.0,fastfm,,,,,90.0,82.0,https://pypi.org/project/fastfm,2017-11-23 06:59:56.000000,8.0,669.0,674.0,,,,,,,,3.0,388.0,,,,,,,,,,,,,,,,,,,,,\n625,advertorch,BorealisAI/advertorch,,adversarial,https://github.com/BorealisAI/advertorch,https://github.com/BorealisAI/advertorch,GPL-3.0,2018-11-29 22:17:33.000000,2021-06-21 16:41:11.000000,2020-06-15 01:16:18.000000,139,15.0,29.0,884.0,270.0,A Toolbox for Adversarial Robustness Research.,16.0,20,False,2020-06-15 01:20:07.000000,0.2.3,10.0,advertorch,,,,['pytorch'],49.0,43.0,https://pypi.org/project/advertorch,2020-06-15 01:20:07.000000,6.0,1596.0,1596.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n626,attention-ocr,emedvedev/attention-ocr,,ocr,https://github.com/emedvedev/attention-ocr,https://github.com/emedvedev/attention-ocr,MIT,2017-07-21 18:35:19.000000,2021-02-23 04:33:25.000000,2020-10-31 19:40:19.000000,233,20.0,126.0,866.0,196.0,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,27.0,20,True,2020-10-12 06:56:40.000000,0.7.6,21.0,aocr,,,,['tensorflow'],17.0,17.0,https://pypi.org/project/aocr,2019-04-19 05:28:27.000000,,1005.0,1005.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n627,DALEX,ModelOriented/DALEX,,interpretability,https://github.com/ModelOriented/DALEX,https://github.com/ModelOriented/DALEX,GPL-3.0,2018-02-18 03:24:12.000000,2021-06-09 17:13:55.000000,2021-06-09 17:13:52.000000,116,14.0,279.0,851.0,565.0,moDel Agnostic Language for Exploration and eXplanation.,19.0,20,False,2021-05-31 21:17:29.000000,1.2.0,20.0,dalex,,,,,17.0,17.0,https://pypi.org/project/dalex,2021-05-31 21:17:29.000000,0.0,6883.0,6883.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n628,mrq,pricingassistant/mrq,,data-pipelines,https://github.com/pricingassistant/mrq,https://github.com/pricingassistant/mrq,MIT,2014-02-13 09:32:40.000000,2021-05-19 17:32:27.000000,2020-12-13 18:58:15.000000,113,59.0,119.0,845.0,709.0,Mr. Queue - A distributed worker task queue in Python using Redis & gevent.,37.0,20,True,2018-08-31 16:03:04.000000,0.9.10,70.0,mrq,,,,,35.0,23.0,https://pypi.org/project/mrq,2018-08-31 16:03:04.000000,12.0,390.0,390.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n629,nude.py,hhatto/nude.py,,image,https://github.com/hhatto/nude.py,https://github.com/hhatto/nude.py,MIT,2013-06-09 06:55:55.000000,2020-11-23 13:49:32.000000,2020-11-23 13:49:02.000000,132,7.0,2.0,803.0,79.0,Nudity detection with Python.,12.0,20,True,2020-11-23 13:49:17.000000,0.5.1,10.0,nudepy,,,,,455.0,437.0,https://pypi.org/project/nudepy,2020-11-23 13:49:17.000000,18.0,3705.0,3705.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n630,TensorFrames,databricks/tensorframes,,distributed-ml,https://github.com/databricks/tensorframes,https://github.com/databricks/tensorframes,Apache-2.0,2016-03-04 19:25:19.000000,2021-05-21 14:50:19.000000,2019-11-15 21:43:53.000000,156,51.0,43.0,764.0,221.0,[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark.,16.0,20,False,2018-11-16 20:50:02.000000,0.6.0,6.0,tensorframes,,,,\"['tensorflow', 'spark']\",1.0,,https://pypi.org/project/tensorframes,2018-05-16 14:20:28.000000,1.0,15982.0,15982.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n631,NGT,yahoojapan/NGT,,nn-search,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000000,2021-05-27 04:06:08.000000,2021-05-27 04:05:36.000000,75,7.0,74.0,756.0,130.0,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,11.0,20,True,2021-03-12 02:52:55.000000,1.13.5,49.0,ngt,,,,,6.0,,https://pypi.org/project/ngt,2020-09-23 06:52:45.000000,6.0,10960.0,10960.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n632,AstroML,astroML/astroML,,others,https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50.000000,2021-06-30 15:57:42.000000,2021-04-07 06:12:17.000000,271,53.0,84.0,756.0,,\"Machine learning, statistics, and data mining for astronomy and astrophysics.\",30.0,20,True,2019-10-02 06:32:58.000000,0.4.1,10.0,astroML,conda-forge/astroml,,,['sklearn'],29.0,,https://pypi.org/project/astroML,2020-03-23 23:20:49.000000,29.0,1510.0,2023.0,https://anaconda.org/conda-forge/astroml,2020-02-16 04:18:54.678000,24145.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n633,YouTokenToMe,vkcom/youtokentome,,nlp,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28.000000,2021-01-28 23:05:01.000000,2021-01-28 19:04:09.000000,48,23.0,22.0,750.0,79.0,Unsupervised text tokenizer focused on computational efficiency.,6.0,20,True,2020-02-13 09:57:47.000000,1.0.6,14.0,youtokentome,,,,,142.0,130.0,https://pypi.org/project/youtokentome,2020-02-12 18:24:46.000000,12.0,16346.0,16346.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n634,NearPy,pixelogik/NearPy,,nn-search,https://github.com/pixelogik/NearPy,https://github.com/pixelogik/NearPy,MIT,2013-04-25 09:10:26.000000,2020-02-17 20:24:08.000000,2018-10-21 17:54:28.000000,140,24.0,38.0,681.0,159.0,\"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..\",18.0,20,False,2016-09-27 13:04:44.000000,1.0.0,8.0,NearPy,,,,,69.0,53.0,https://pypi.org/project/NearPy,2016-09-27 13:03:12.000000,16.0,2998.0,2998.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n635,finetune,IndicoDataSolutions/finetune,,nlp,https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16.000000,2021-06-28 13:17:04.000000,2021-06-15 17:49:52.000000,68,21.0,115.0,645.0,1201.0,Scikit-learn style model finetuning for NLP.,19.0,20,True,2020-01-10 22:42:24.000000,0.8.6,37.0,finetune,,,,\"['tensorflow', 'sklearn']\",11.0,9.0,https://pypi.org/project/finetune,2020-01-10 22:42:24.000000,2.0,201.0,201.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n636,bambi,bambinos/bambi,,probabilistics,https://github.com/bambinos/bambi,https://github.com/bambinos/bambi,MIT,2016-05-16 03:21:00.000000,2021-06-28 15:50:20.000000,2021-06-15 13:31:58.000000,54,32.0,147.0,630.0,571.0,BAyesian Model-Building Interface (Bambi) in Python.,17.0,20,True,2021-05-16 23:07:43.000000,0.5.0,13.0,bambi,,,,,16.0,13.0,https://pypi.org/project/bambi,2021-05-16 23:07:43.000000,3.0,588.0,588.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n637,Objax,google/objax,,ml-frameworks,https://github.com/google/objax,https://github.com/google/objax,Apache-2.0,2020-08-20 06:20:40.000000,2021-06-16 14:14:50.000000,2021-04-21 22:04:16.000000,50,40.0,53.0,620.0,411.0,Objax is a machine learning framework that provides an Object Oriented layer for JAX.,20.0,20,True,2021-04-01 00:14:18.000000,1.4.0,7.0,objax,,,,['jax'],13.0,13.0,https://pypi.org/project/objax,2021-04-01 00:02:37.000000,0.0,791.0,791.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n638,Labml,labmlai/labml,,ml-experiments,https://github.com/labmlai/labml,https://github.com/labmlai/labml,MIT,2018-11-16 09:34:48.000000,2021-06-24 08:27:16.000000,2021-06-24 08:27:00.000000,48,7.0,8.0,587.0,1017.0,Monitor deep learning model training and hardware usage from your mobile phone.,6.0,20,True,2021-06-24 08:27:16.000000,0.4.125,102.0,labml,,,,,28.0,28.0,https://pypi.org/project/labml,2021-06-24 08:27:16.000000,0.0,1023.0,1023.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n639,DiCE,interpretml/DiCE,,interpretability,https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000000,2021-07-01 09:37:20.000000,2021-07-01 09:37:20.000000,78,22.0,34.0,576.0,393.0,Generate Diverse Counterfactual Explanations for any machine learning model.,11.0,20,True,2021-05-10 16:05:55.000000,0.6.1,5.0,dice-ml,,,,\"['tensorflow', 'pytorch']\",0.0,,https://pypi.org/project/dice-ml,2021-05-10 16:05:55.000000,0.0,11227.0,11227.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n640,Orbit,uber/orbit,,probabilistics,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000000,2021-06-25 00:22:13.000000,2021-06-24 05:10:14.000000,39,19.0,189.0,574.0,619.0,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,10.0,20,True,2021-04-03 01:15:52.000000,1.0.13,12.0,orbit-ml,,,,,4.0,4.0,https://pypi.org/project/orbit-ml,2021-04-03 01:15:52.000000,,5565.0,5565.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n641,scikit-lego,koaning/scikit-lego,,sklearn-utils,https://github.com/koaning/scikit-lego,https://github.com/koaning/scikit-lego,MIT,2019-01-21 15:30:15.000000,2021-06-21 19:59:50.000000,2021-06-21 19:59:50.000000,73,25.0,197.0,536.0,,Extra blocks for scikit-learn pipelines.,47.0,20,True,2021-05-07 13:23:25.000000,0.6.7,33.0,scikit-lego,conda-forge/scikit-lego,,,['sklearn'],28.0,28.0,https://pypi.org/project/scikit-lego,2021-05-07 13:24:31.000000,0.0,4359.0,4927.0,https://anaconda.org/conda-forge/scikit-lego,2021-05-07 16:59:35.251000,11945.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n642,Caer,jasmcaus/caer,,image,https://github.com/jasmcaus/caer,https://github.com/jasmcaus/caer,MIT,2020-08-06 18:36:14.000000,2021-06-23 00:43:23.000000,2021-05-29 03:10:28.000000,83,3.0,10.0,511.0,4941.0,\"A lightweight Computer Vision library. Scale your models, not boilerplate.\",6.0,20,True,2021-01-28 14:06:10.000000,1.9.8,109.0,caer,,,https://caer.rtfd.io,,0.0,,https://pypi.org/project/caer,2021-01-28 14:06:10.000000,0.0,9778.0,9779.0,,,,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,,,,\n643,pyhsmm,mattjj/pyhsmm,,probabilistics,https://github.com/mattjj/pyhsmm,https://github.com/mattjj/pyhsmm,MIT,2012-03-18 17:40:13.000000,2020-09-29 20:58:26.000000,2020-08-24 17:03:59.000000,159,39.0,60.0,492.0,1426.0,Bayesian inference in HSMMs and HMMs.,13.0,20,True,2017-05-10 17:14:37.000000,0.1.7,8.0,pyhsmm,,,,,28.0,20.0,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37.000000,8.0,192.0,192.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n644,Poutyne,GRAAL-Research/poutyne,,pytorch-utils,https://github.com/GRAAL-Research/poutyne,https://github.com/GRAAL-Research/poutyne,LGPL-3.0,2017-12-07 18:30:17.000000,2021-06-24 19:23:31.000000,2021-06-09 17:53:33.000000,51,7.0,38.0,480.0,571.0,A simplified framework and utilities for PyTorch.,16.0,20,False,2021-05-22 14:42:18.000000,1.5,22.0,poutyne,,,,['pytorch'],64.0,60.0,https://pypi.org/project/poutyne,2021-05-22 14:42:36.000000,4.0,7332.0,7332.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n645,HpBandSter,automl/HpBandSter,,hyperopt,https://github.com/automl/HpBandSter,https://github.com/automl/HpBandSter,BSD-3-Clause,2017-12-17 20:28:20.000000,2021-01-31 10:05:37.000000,2019-03-26 09:26:28.000000,101,57.0,35.0,477.0,187.0,a distributed Hyperband implementation on Steroids.,11.0,20,False,2019-07-30 12:47:43.000000,1.0,8.0,hpbandster,,,,,164.0,148.0,https://pypi.org/project/hpbandster,2018-11-06 12:56:55.000000,16.0,24522.0,24522.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n646,N2,kakao/n2,,nn-search,https://github.com/kakao/n2,https://github.com/kakao/n2,Apache-2.0,2017-11-23 02:27:59.000000,2021-05-20 05:41:36.000000,2021-05-20 05:39:44.000000,50,17.0,22.0,477.0,242.0,TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets.,18.0,20,True,2020-10-16 03:43:47.000000,0.1.7,9.0,n2,,,,,20.0,16.0,https://pypi.org/project/n2,2020-10-16 03:10:01.000000,4.0,2516.0,2516.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n647,PyWaffle,gyli/PyWaffle,,data-viz,https://github.com/gyli/PyWaffle,https://github.com/gyli/PyWaffle,MIT,2017-11-14 20:03:47.000000,2020-07-26 23:22:17.000000,2020-07-26 23:22:13.000000,70,2.0,10.0,432.0,249.0,Make Waffle Charts in Python.,6.0,20,True,2020-07-26 19:16:45.000000,0.6.1,22.0,pywaffle,,,,,73.0,73.0,https://pypi.org/project/pywaffle,2020-07-26 19:16:45.000000,,2316.0,2316.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n648,pydlm,wwrechard/pydlm,,time-series-data,https://github.com/wwrechard/pydlm,https://github.com/wwrechard/pydlm,BSD-3-Clause,2016-06-29 07:58:53.000000,2021-02-24 14:21:28.000000,2019-10-22 07:18:40.000000,86,35.0,8.0,395.0,362.0,A python library for Bayesian time series modeling.,6.0,20,False,2016-11-06 01:43:35.000000,0.1.1,13.0,pydlm,,,,,23.0,21.0,https://pypi.org/project/pydlm,2018-12-19 10:27:54.000000,2.0,22223.0,22223.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n649,kale,kubeflow-kale/kale,,data-pipelines,https://github.com/kubeflow-kale/kale,https://github.com/kubeflow-kale/kale,Apache-2.0,2019-01-24 17:58:44.000000,2021-06-17 00:46:20.000000,2021-05-19 12:47:47.000000,74,83.0,61.0,395.0,641.0,Kubeflows superfood for Data Scientists.,10.0,20,True,2021-05-19 12:56:53.000000,0.7.0,15.0,kubeflow-kale,,,,['jupyter'],9.0,9.0,https://pypi.org/project/kubeflow-kale,2021-05-19 12:56:53.000000,,1363.0,1363.0,,,,,,,,3.0,,,,,,,,,,,,,,,True,,,,,,,\n650,DESlib,scikit-learn-contrib/DESlib,,sklearn-utils,https://github.com/scikit-learn-contrib/DESlib,https://github.com/scikit-learn-contrib/DESlib,BSD-3-Clause,2017-12-08 22:49:49.000000,2021-04-09 04:41:52.000000,2021-04-09 04:41:45.000000,73,14.0,127.0,336.0,272.0,A Python library for dynamic classifier and ensemble selection.,13.0,20,True,2021-02-08 06:29:25.000000,0.3.5,4.0,deslib,,,,['sklearn'],21.0,21.0,https://pypi.org/project/deslib,2021-02-08 06:29:25.000000,0.0,1541.0,1541.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n651,impyute,eltonlaw/impyute,,others,https://github.com/eltonlaw/impyute,https://github.com/eltonlaw/impyute,MIT,2017-01-21 09:16:27.000000,2020-06-12 21:08:40.000000,2019-10-05 20:39:08.000000,42,27.0,36.0,279.0,289.0,Data imputations library to preprocess datasets with missing data.,10.0,20,False,2019-04-29 02:31:32.000000,0.0.8,8.0,impyute,,,,,104.0,100.0,https://pypi.org/project/impyute,2019-04-29 02:31:32.000000,4.0,1898.0,1898.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n652,SUOD,yzhao062/SUOD,,others,https://github.com/yzhao062/SUOD,https://github.com/yzhao062/SUOD,BSD-2-Clause,2019-11-20 00:23:54.000000,2021-01-19 14:42:08.000000,2021-01-19 14:42:01.000000,31,3.0,2.0,273.0,134.0,(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection).,1.0,20,False,2021-01-15 02:12:04.000000,0.0.6,7.0,suod,,,,,342.0,342.0,https://pypi.org/project/suod,2021-01-15 02:12:04.000000,,42782.0,42782.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n653,EarthPy,earthlab/earthpy,,geospatial-data,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000000,2021-06-30 19:51:09.000000,2021-06-30 19:51:08.000000,108,19.0,203.0,267.0,,A package built to support working with spatial data using open source python.,39.0,20,False,2020-06-18 23:58:08.000000,0.9.2,22.0,earthpy,conda-forge/earthpy,,,,103.0,97.0,https://pypi.org/project/earthpy,2020-06-18 23:58:08.000000,6.0,3371.0,4611.0,https://anaconda.org/conda-forge/earthpy,2020-06-19 15:23:44.425000,33504.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n654,quinn,MrPowers/quinn,,ml-experiments,https://github.com/MrPowers/quinn,https://github.com/MrPowers/quinn,Apache-2.0,2017-09-15 13:02:42.000000,2021-03-27 14:31:44.000000,2021-02-09 04:48:07.000000,29,17.0,9.0,260.0,110.0,pyspark methods to enhance developer productivity.,6.0,20,False,2021-02-06 15:21:04.000000,0.9.0,12.0,quinn,,,,['spark'],6.0,,https://pypi.org/project/quinn,2021-02-06 15:21:04.000000,6.0,377781.0,377781.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n655,Brainiak,brainiak/brainiak,,medical-data,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27.000000,2021-05-28 01:21:58.000000,2021-05-28 01:21:58.000000,112,68.0,120.0,247.0,393.0,Brain Imaging Analysis Kit.,33.0,20,False,2019-08-27 23:52:29.000000,0.9.1,15.0,brainiak,,brainiak/brainiak,,,14.0,13.0,https://pypi.org/project/brainiak,2020-10-15 20:45:08.000000,1.0,257.0,266.0,,,,https://hub.docker.com/r/brainiak/brainiak,2020-10-15 21:11:03.379549,1.0,612.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n656,ivis,beringresearch/ivis,,data-viz,https://github.com/beringresearch/ivis,https://github.com/beringresearch/ivis,Apache-2.0,2018-08-13 08:31:01.000000,2021-06-30 22:59:25.000000,2021-06-30 22:59:25.000000,25,3.0,45.0,238.0,595.0,Dimensionality reduction in very large datasets using Siamese Networks.,9.0,20,False,2021-06-04 21:09:20.000000,2.0.4,30.0,ivis,,,,['tensorflow'],15.0,15.0,https://pypi.org/project/ivis,2021-06-04 21:09:20.000000,0.0,491.0,491.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n657,Glow,projectglow/glow,,medical-data,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47.000000,2021-06-30 18:24:23.000000,2021-06-24 23:23:31.000000,46,29.0,64.0,168.0,328.0,An open-source toolkit for large-scale genomic analysis.,14.0,20,False,2021-04-28 00:07:10.000000,1.0.1,11.0,glow.py,,,,,,,https://pypi.org/project/glow.py,2021-04-28 00:05:18.000000,,39819.0,39819.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n658,huggingface_hub,huggingface/huggingface_hub,,model-serialisation,https://github.com/huggingface/huggingface_hub,https://github.com/huggingface/huggingface_hub,Apache-2.0,2020-12-22 10:20:28.000000,2021-07-01 14:46:10.000000,2021-07-01 14:46:09.000000,19,40.0,15.0,149.0,,Client library to download and publish models and other files on the huggingface.co hub.,24.0,20,False,2021-06-28 12:57:27.000000,0.0.13,15.0,huggingface_hub,conda-forge/huggingface_hub,,,,0.0,,https://pypi.org/project/huggingface_hub,2021-06-28 12:50:02.000000,0.0,1115357.0,1116278.0,https://anaconda.org/conda-forge/huggingface_hub,2021-06-29 07:16:19.550000,4608.0,,,,,3.0,,,,,,,,,,,,,,,True,,,,,,,\n659,TTS,mozilla/TTS,,audio,https://github.com/mozilla/TTS,https://github.com/mozilla/TTS,MPL-2.0,2018-01-23 14:22:06.000000,2021-06-10 11:11:38.000000,2021-02-12 10:36:31.000000,769,37.0,485.0,4830.0,2184.0,Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts).,56.0,19,True,2021-01-29 00:03:56.000000,0.0.9,1.0,,,,,,,,,,,,130.0,,,,,,,,3.0,782.0,,,,,,,,,,,,,,,,,,,,,\n660,Crypto Signals,CryptoSignal/crypto-signal,,financial-data,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24.000000,2021-06-28 16:44:17.000000,2021-06-28 16:44:17.000000,827,43.0,196.0,3189.0,564.0,\"Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 2,100 + stars, 580 + forks.\",28.0,19,True,,,,,,shadowreaver/crypto-signal,,,,,,,,,2984.0,,,,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133,7.0,137297.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n661,BytePS,bytedance/byteps,,distributed-ml,https://github.com/bytedance/byteps,https://github.com/bytedance/byteps,Apache-2.0,2019-06-25 07:00:13.000000,2021-06-26 09:03:00.000000,2021-06-26 07:59:51.000000,395,88.0,150.0,2865.0,418.0,A high performance and generic framework for distributed DNN training.,19.0,19,True,2020-08-27 15:42:13.000000,0.2.4,7.0,byteps,,bytepsimage/tensorflow,,,,,https://pypi.org/project/byteps,2020-11-04 00:05:46.000000,,274.0,318.0,,,,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,1118.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n662,AdaBound,Luolc/AdaBound,,pytorch-utils,https://github.com/Luolc/AdaBound,https://github.com/Luolc/AdaBound,Apache-2.0,2019-02-15 18:05:20.000000,2019-03-06 17:01:52.000000,2019-03-06 17:01:45.000000,327,16.0,7.0,2852.0,27.0,An optimizer that trains as fast as Adam and as good as SGD.,2.0,19,False,2019-03-06 16:44:42.000000,0.0.5,4.0,adabound,,,,['pytorch'],125.0,113.0,https://pypi.org/project/adabound,2019-02-26 04:23:45.000000,12.0,1047.0,1047.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n663,image-match,ProvenanceLabs/image-match,,image,https://github.com/ProvenanceLabs/image-match,https://github.com/ProvenanceLabs/image-match,Apache-2.0,2016-03-08 18:16:45.000000,2021-01-04 18:36:01.000000,2021-01-04 18:35:59.000000,371,45.0,48.0,2589.0,404.0,Quickly search over billions of images.,18.0,19,True,2017-02-13 14:54:48.000000,1.1.2,10.0,image_match,,,,,6.0,,https://pypi.org/project/image_match,2017-02-13 14:54:48.000000,6.0,720.0,720.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n664,StreamAlert,airbnb/streamalert,,others,https://github.com/airbnb/streamalert,https://github.com/airbnb/streamalert,Apache-2.0,2017-01-22 01:10:56.000000,2021-06-02 03:48:19.000000,2021-02-10 05:03:05.000000,296,88.0,249.0,2550.0,1893.0,\"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data..\",31.0,19,True,2020-10-05 21:50:56.000000,3.4.1,27.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n665,Apache Singa,apache/singa,,distributed-ml,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000000,2021-07-01 09:33:03.000000,2021-01-15 13:09:22.000000,627,40.0,38.0,2274.0,2265.0,a distributed deep learning platform.,70.0,19,True,2020-04-21 08:01:08.000000,3.0.0,14.0,,nusdbsystem/singa,apache/singa,,,1.0,1.0,,,,,7.0,https://anaconda.org/nusdbsystem/singa,2021-01-20 03:00:28.355000,279.0,https://hub.docker.com/r/apache/singa,2019-06-04 04:32:52.195956,2.0,172.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n666,Texthero,jbesomi/texthero,,nlp,https://github.com/jbesomi/texthero,https://github.com/jbesomi/texthero,MIT,2020-04-06 15:16:05.000000,2021-04-08 07:07:32.000000,2021-04-07 16:52:32.000000,194,73.0,52.0,2230.0,268.0,\"Text preprocessing, representation and visualization from zero to hero.\",18.0,19,True,2020-07-06 20:32:28.000000,1.0.9,9.0,texthero,,,,,0.0,,https://pypi.org/project/texthero,2020-07-06 20:29:25.000000,0.0,5614.0,5618.0,,,,,,,,3.0,66.0,,,,,,,,,,,,,,,,,,,,,\n667,pdftabextract,WZBSocialScienceCenter/pdftabextract,,ocr,https://github.com/WZBSocialScienceCenter/pdftabextract,https://github.com/WZBSocialScienceCenter/pdftabextract,Apache-2.0,2016-07-08 11:44:46.000000,2020-12-28 00:52:23.000000,2018-10-26 13:57:02.000000,337,3.0,18.0,1932.0,168.0,A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.,2.0,19,False,2018-01-09 08:00:24.000000,0.3.0,5.0,pdftabextract,,,,,38.0,37.0,https://pypi.org/project/pdftabextract,2018-01-09 08:00:24.000000,1.0,986.0,986.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n668,River,online-ml/river,,others,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000000,2021-06-29 19:13:52.000000,2021-06-29 19:11:12.000000,217,25.0,285.0,1703.0,3134.0,Online machine learning in Python.,65.0,19,True,,,,,,,,,24.0,24.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n669,Neural Tangents,google/neural-tangents,,ml-frameworks,https://github.com/google/neural-tangents,https://github.com/google/neural-tangents,Apache-2.0,2019-04-08 16:48:48.000000,2021-06-29 21:13:20.000000,2021-06-29 21:13:12.000000,159,28.0,60.0,1473.0,,Fast and Easy Infinite Neural Networks in Python.,19.0,19,True,2021-01-25 23:20:02.000000,0.3.6,20.0,neural-tangents,,,,,20.0,20.0,https://pypi.org/project/neural-tangents,2021-01-25 23:06:16.000000,0.0,417.0,425.0,,,,,,,,3.0,116.0,,,,,,,-3.0,,,,,,,,,,,,,,\n670,ThunderSVM,Xtra-Computing/thundersvm,,ml-frameworks,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04.000000,2021-02-10 05:12:44.000000,2021-02-10 05:12:44.000000,174,51.0,146.0,1317.0,902.0,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,33.0,19,True,2020-03-13 12:36:30.000000,0.3.12,9.0,thundersvm,,,,,,,https://pypi.org/project/thundersvm,2020-03-13 12:36:30.000000,,678.0,717.0,,,,,,,,3.0,2211.0,,,,,,,,,,,,,,,,,,,,,\n671,Haiku,deepmind/dm-haiku,,ml-frameworks,https://github.com/deepmind/dm-haiku,https://github.com/deepmind/dm-haiku,Apache-2.0,2020-02-18 07:14:02.000000,2021-06-24 09:02:25.000000,2021-06-23 11:42:55.000000,83,20.0,73.0,1172.0,,JAX-based neural network library.,43.0,19,True,2021-04-12 13:12:13.000000,0.0.4,6.0,,,,,,113.0,113.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n672,Paddle Graph Learning,PaddlePaddle/PGL,,graph,https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28.000000,2021-07-01 13:15:58.000000,2021-07-01 13:15:58.000000,156,27.0,44.0,1043.0,,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,17.0,19,True,2021-05-12 05:13:54.000000,2.1.4,12.0,pgl,,,,['paddle'],19.0,17.0,https://pypi.org/project/pgl,2021-05-12 05:13:54.000000,2.0,997.0,997.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n673,Norfair,tryolabs/norfair,,image,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000000,2021-06-10 17:13:45.000000,2021-06-10 17:13:44.000000,73,7.0,25.0,1038.0,278.0,Lightweight Python library for adding real-time 2D object tracking to any detector.,9.0,19,True,2021-05-31 21:03:19.000000,0.3.0,11.0,norfair,,,,,,,https://pypi.org/project/norfair,2021-05-31 21:03:19.000000,,1920.0,1920.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n674,TensorNets,taehoonlee/tensornets,,tensorflow-utils,https://github.com/taehoonlee/tensornets,https://github.com/taehoonlee/tensornets,MIT,2017-09-19 05:19:01.000000,2021-01-02 06:28:10.000000,2021-01-02 06:26:24.000000,184,14.0,42.0,989.0,284.0,High level network definitions with pre-trained weights in TensorFlow.,6.0,19,True,2020-03-31 04:38:27.000000,0.4.6,12.0,tensornets,,,,['tensorflow'],42.0,38.0,https://pypi.org/project/tensornets,2020-03-31 04:35:15.000000,4.0,240.0,240.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n675,Skater,oracle/Skater,,interpretability,https://github.com/oracle/Skater,https://github.com/oracle/Skater,UPL-1.0,2017-01-26 05:45:42.000000,2020-11-01 15:57:12.273000,2020-06-29 20:07:12.000000,163,69.0,97.0,983.0,1101.0,Python Library for Model Interpretation/Explanations.,34.0,19,False,2018-09-21 07:03:32.000000,1.1.2,23.0,skater,conda-forge/skater,,,,,,https://pypi.org/project/skater,2018-09-21 07:03:32.000000,,1867.0,2703.0,https://anaconda.org/conda-forge/skater,2020-11-01 15:57:12.273000,40989.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n676,Databolt Flow,d6t/d6tflow,,data-pipelines,https://github.com/d6t/d6tflow,https://github.com/d6t/d6tflow,MIT,2019-02-03 01:51:22.000000,2021-04-28 04:27:05.000000,2021-04-28 04:27:05.000000,67,8.0,13.0,919.0,241.0,Python library for building highly effective data science workflows.,12.0,19,True,2021-03-17 03:43:31.000000,0.2.3,20.0,d6tflow,,,,,13.0,13.0,https://pypi.org/project/d6tflow,2021-03-17 03:43:31.000000,,291.0,291.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n677,Bounter,RaRe-Technologies/bounter,,data-containers,https://github.com/RaRe-Technologies/bounter,https://github.com/RaRe-Technologies/bounter,MIT,2017-07-18 07:24:15.000000,2021-05-24 07:30:15.000000,2021-05-24 07:29:54.000000,48,12.0,9.0,916.0,156.0,Efficient Counter that uses a limited (bounded) amount of memory regardless of data size.,8.0,19,True,2020-08-17 06:37:51.000000,1.1.1,7.0,bounter,,,,,38.0,24.0,https://pypi.org/project/bounter,2020-08-17 06:37:51.000000,14.0,160.0,160.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n678,Fiber,uber/fiber,,distributed-ml,https://github.com/uber/fiber,https://github.com/uber/fiber,Apache-2.0,2020-01-07 18:16:24.000000,2021-06-30 02:02:42.000000,2021-03-15 07:00:08.000000,97,16.0,8.0,904.0,66.0,Distributed Computing for AI Made Simple.,5.0,19,True,2020-07-09 03:28:28.000000,0.2.1,6.0,fiber,,,,,29.0,28.0,https://pypi.org/project/fiber,2020-07-09 03:28:28.000000,1.0,1743.0,1743.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n679,calamari,Calamari-OCR/calamari,,ocr,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,Apache-2.0,2018-03-20 15:22:29.000000,2021-06-27 12:41:59.000000,2021-06-27 10:37:33.000000,177,33.0,181.0,838.0,385.0,Line based ATR Engine based on OCRopy.,18.0,19,True,2021-05-30 10:58:28.000000,2.1.2,28.0,calamari_ocr,,,,,2.0,,https://pypi.org/project/calamari_ocr,2018-11-13 11:24:45.000000,2.0,1017.0,1017.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n680,pytorch_geometric_temporal,benedekrozemberczki/pytorch_geometric_temporal,,graph,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,MIT,2020-06-27 01:11:33.000000,2021-07-01 10:57:17.000000,2021-07-01 10:57:17.000000,103,,40.0,837.0,1664.0,A Temporal Extension Library for PyTorch Geometric.,10.0,19,True,2021-06-12 16:27:44.000000,_0037,35.0,torch-geometric-temporal,,,,['pytorch'],,,https://pypi.org/project/torch-geometric-temporal,2021-06-12 16:25:56.000000,,1632.0,1632.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n681,graph4nlp,graph4ai/graph4nlp,,graph,https://github.com/graph4ai/graph4nlp,https://github.com/graph4ai/graph4nlp,Apache-2.0,2020-07-16 03:28:48.000000,2021-06-30 14:22:09.000000,2021-06-16 19:20:05.000000,91,2.0,55.0,814.0,1379.0,Graph4nlp is the library for the easy use of Graph Neural Networks for NLP.,19.0,19,True,2021-06-15 16:00:17.000000,0.4.1-alpha,9.0,graph4nlp,,,,['pytorch'],,,https://pypi.org/project/graph4nlp,2021-06-06 14:20:47.000000,,474.0,474.0,,,,,,,,3.0,,,,,,,,,,,,,,,True,,,,,,,\n682,tffm,geffy/tffm,,tensorflow-utils,https://github.com/geffy/tffm,https://github.com/geffy/tffm,MIT,2016-05-02 17:06:07.000000,2020-05-22 21:40:58.000000,2020-05-22 21:40:57.000000,176,17.0,21.0,765.0,106.0,TensorFlow implementation of an arbitrary order Factorization Machine.,10.0,19,False,2018-01-27 11:43:26.000000,1.0.1,2.0,tffm,,,,['tensorflow'],12.0,11.0,https://pypi.org/project/tffm,2018-01-27 11:43:26.000000,1.0,2215.0,2215.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n683,pytorch2keras,gmalivenko/pytorch2keras,,model-serialisation,https://github.com/gmalivenko/pytorch2keras,https://github.com/gmalivenko/pytorch2keras,MIT,2017-11-16 20:21:43.000000,2021-05-09 08:11:50.000000,2021-05-09 08:06:07.000000,117,49.0,66.0,717.0,278.0,PyTorch to Keras model convertor.,12.0,19,True,2020-05-14 10:03:56.000000,0.2.4,23.0,pytorch2keras,,,,,25.0,24.0,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56.000000,1.0,807.0,807.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n684,Hivemind,learning-at-home/hivemind,,distributed-ml,https://github.com/learning-at-home/hivemind,https://github.com/learning-at-home/hivemind,MIT,2020-02-27 13:50:19.000000,2021-07-01 14:23:19.000000,2021-07-01 00:32:03.000000,42,43.0,48.0,715.0,372.0,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,17.0,19,True,2021-06-22 21:50:15.000000,0.9.9,12.0,hivemind,,,,,4.0,3.0,https://pypi.org/project/hivemind,2021-06-22 22:57:34.000000,1.0,296.0,296.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n685,Test Tube,williamFalcon/test-tube,,hyperopt,https://github.com/williamFalcon/test-tube,https://github.com/williamFalcon/test-tube,MIT,2017-09-06 02:14:57.000000,2021-01-17 20:04:39.000000,2020-03-17 22:44:47.000000,63,25.0,21.0,691.0,642.0,Python library to easily log experiments and parallelize hyperparameter search for neural networks.,16.0,19,False,2019-12-01 01:19:36.000000,0.7.5,53.0,test_tube,,,,,5.0,,https://pypi.org/project/test_tube,2018-12-12 22:45:59.000000,5.0,16135.0,16135.0,,,,,,,,3.0,8.0,,,,,,,,,,,,,,,,,,,,,\n686,matrixprofile-ts,target/matrixprofile-ts,,time-series-data,https://github.com/target/matrixprofile-ts,https://github.com/target/matrixprofile-ts,Apache-2.0,2018-09-10 19:03:34.000000,2020-04-25 18:38:20.000000,2020-04-25 18:37:42.000000,92,19.0,34.0,639.0,198.0,A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile.,15.0,19,False,2019-08-08 01:24:38.000000,0.0.9,9.0,matrixprofile-ts,,,,,16.0,16.0,https://pypi.org/project/matrixprofile-ts,2019-08-08 01:24:38.000000,,2447.0,2447.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n687,PFRL,pfnet/pfrl,,reinforcement-learning,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50.000000,2021-06-23 03:32:18.000000,2021-06-23 03:32:16.000000,77,22.0,28.0,634.0,380.0,PFRL: a PyTorch-based deep reinforcement learning library.,14.0,19,True,2020-12-17 05:00:25.000000,0.2.1,4.0,pfrl,,,,,15.0,15.0,https://pypi.org/project/pfrl,2020-12-17 05:00:25.000000,,689.0,689.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n688,vecstack,vecxoz/vecstack,,others,https://github.com/vecxoz/vecstack,https://github.com/vecxoz/vecstack,MIT,2016-11-08 13:23:21.000000,2020-09-14 08:31:07.000000,2019-10-30 09:27:48.000000,74,,37.0,627.0,189.0,Python package for stacking (machine learning technique).,1.0,19,False,2019-08-12 16:09:01.000000,0.4.0,6.0,vecstack,,,,,144.0,136.0,https://pypi.org/project/vecstack,2019-08-12 16:01:22.000000,8.0,2471.0,2471.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n689,Torchbearer,pytorchbearer/torchbearer,,ml-frameworks,https://github.com/pytorchbearer/torchbearer,https://github.com/pytorchbearer/torchbearer,MIT,2018-03-12 16:30:42.000000,2021-03-26 19:56:57.000000,2021-03-26 19:56:57.000000,66,8.0,237.0,606.0,430.0,torchbearer: A model fitting library for PyTorch.,13.0,19,True,2020-01-31 14:07:22.000000,0.5.3,24.0,torchbearer,,,,['pytorch'],57.0,51.0,https://pypi.org/project/torchbearer,2020-01-31 14:05:56.000000,6.0,780.0,780.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n690,iterative-stratification,trent-b/iterative-stratification,,sklearn-utils,https://github.com/trent-b/iterative-stratification,https://github.com/trent-b/iterative-stratification,BSD-3-Clause,2018-02-04 00:32:10.000000,2020-09-12 15:32:44.000000,2020-09-12 15:35:02.000000,52,2.0,11.0,572.0,47.0,scikit-learn cross validators for iterative stratification of multilabel data.,4.0,19,True,2018-08-12 18:28:50.000000,0.1.6,5.0,iterative-stratification,,,,['sklearn'],159.0,145.0,https://pypi.org/project/iterative-stratification,2018-08-12 18:28:50.000000,14.0,7660.0,7660.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n691,What-If Tool,PAIR-code/what-if-tool,,interpretability,https://github.com/PAIR-code/what-if-tool,https://github.com/PAIR-code/what-if-tool,Apache-2.0,2018-09-07 20:26:10.000000,2021-05-11 09:27:28.000000,2021-03-17 12:46:20.000000,105,38.0,38.0,542.0,319.0,Source code/webpage/demos for the What-If Tool.,19.0,19,True,2021-01-19 14:40:37.214000,1.8.0,38.0,witwidget,,,,,0.0,,https://pypi.org/project/witwidget,2021-01-19 14:40:21.000000,0.0,9733.0,12858.0,,,,,,,,3.0,,,wit-widget,https://www.npmjs.com/package/wit-widget,2021-01-19 14:40:37.214000,,3125.0,,,,,,,,,,,,,,,\n692,deeplift,kundajelab/deeplift,,interpretability,https://github.com/kundajelab/deeplift,https://github.com/kundajelab/deeplift,MIT,2016-06-01 02:18:06.000000,2020-11-11 19:56:24.000000,2020-11-11 19:56:23.000000,127,29.0,47.0,542.0,551.0,Public facing deeplift repo.,11.0,19,True,2018-07-13 21:11:52.000000,0.6.6,21.0,deeplift,,,,,53.0,49.0,https://pypi.org/project/deeplift,2020-11-11 09:32:57.000000,4.0,694.0,694.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n693,tcav,tensorflow/tcav,,interpretability,https://github.com/tensorflow/tcav,https://github.com/tensorflow/tcav,Apache-2.0,2018-07-03 17:45:35.000000,2021-06-08 19:53:23.000000,2021-05-07 12:33:34.000000,112,5.0,47.0,469.0,164.0,Code for the TCAV ML interpretability project.,19.0,19,True,2021-02-23 16:17:42.000000,0.2.2,4.0,tcav,,,,['tensorflow'],11.0,9.0,https://pypi.org/project/tcav,2021-02-23 16:17:42.000000,2.0,95.0,95.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n694,seglearn,dmbee/seglearn,,time-series-data,https://github.com/dmbee/seglearn,https://github.com/dmbee/seglearn,BSD-3-Clause,2018-03-05 20:53:59.000000,2021-03-13 16:18:30.000000,2021-03-12 17:12:50.000000,47,5.0,23.0,458.0,268.0,Python module for machine learning time series:.,13.0,19,True,2021-03-13 16:18:30.000000,1.2.3,22.0,seglearn,,,,,9.0,8.0,https://pypi.org/project/seglearn,2021-03-13 16:18:30.000000,1.0,1607.0,1607.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n695,PyKEEN,pykeen/pykeen,,graph,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000000,2021-07-01 14:21:02.000000,2021-06-30 16:17:16.000000,68,81.0,147.0,457.0,2423.0,A Python library for learning and evaluating knowledge graph embeddings.,19.0,19,True,2021-06-13 21:50:49.000000,1.5.0,36.0,pykeen,,,,,2.0,,https://pypi.org/project/pykeen,2021-06-13 21:46:17.000000,2.0,899.0,905.0,,,,,,,,3.0,79.0,,,,,,,,,,,,,,,,,,,,,\n696,MXBoard,awslabs/mxboard,,ml-experiments,https://github.com/awslabs/mxboard,https://github.com/awslabs/mxboard,Apache-2.0,2018-02-06 23:03:51.000000,2020-01-24 23:21:56.000000,2020-01-24 23:21:55.000000,46,16.0,15.0,332.0,42.0,Logging MXNet data for visualization in TensorBoard.,9.0,19,False,2018-05-22 20:25:51.000000,0.1.0,12.0,mxboard,,,,['mxnet'],121.0,109.0,https://pypi.org/project/mxboard,2018-05-22 20:25:51.000000,12.0,2406.0,2406.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n697,rrcf,kLabUM/rrcf,,others,https://github.com/kLabUM/rrcf,https://github.com/kLabUM/rrcf,MIT,2018-10-20 05:39:05.000000,2021-01-13 23:05:23.000000,2020-06-10 01:07:39.000000,77,22.0,17.0,318.0,253.0,Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams.,4.0,19,False,2020-06-10 01:53:55.000000,0.4.3,7.0,rrcf,,,,,19.0,19.0,https://pypi.org/project/rrcf,2020-06-10 01:53:55.000000,0.0,4438.0,4438.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n698,Sherpa,sherpa-ai/sherpa,,hyperopt,https://github.com/sherpa-ai/sherpa,https://github.com/sherpa-ai/sherpa,GPL-3.0,2018-05-16 21:41:54.000000,2020-10-18 07:57:50.000000,2020-10-18 07:57:48.000000,44,13.0,41.0,296.0,823.0,\"Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.\",43.0,19,False,2020-07-31 05:29:09.000000,1.0.7,8.0,parameter-sherpa,,,,,13.0,11.0,https://pypi.org/project/parameter-sherpa,2019-11-23 21:32:27.000000,2.0,1492.0,1492.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n699,pandas-ml,pandas-ml/pandas-ml,,others,https://github.com/pandas-ml/pandas-ml,https://github.com/pandas-ml/pandas-ml,BSD-3-Clause,2015-02-21 03:14:04.000000,2020-08-14 12:29:33.000000,2019-03-05 01:36:55.000000,60,24.0,17.0,273.0,153.0,\"pandas, scikit-learn, xgboost and seaborn integration.\",4.0,19,False,2019-03-05 01:36:12.000000,0.6.1,9.0,pandas-ml,,,,\"['sklearn', 'pandas']\",10.0,,https://pypi.org/project/pandas-ml,2019-03-05 01:35:23.000000,10.0,3866.0,3866.0,,,,,,,,3.0,5.0,,,,,,,,,,,,,,,,,,,,,\n700,sk-dist,Ibotta/sk-dist,,distributed-ml,https://github.com/Ibotta/sk-dist,https://github.com/Ibotta/sk-dist,Apache-2.0,2019-08-14 21:07:17.000000,2021-06-08 16:01:08.000000,2021-06-08 16:01:05.000000,46,6.0,10.0,267.0,57.0,Distributed scikit-learn meta-estimators in PySpark.,7.0,19,False,2020-05-14 22:20:14.000000,0.1.9,12.0,sk-dist,,,,\"['sklearn', 'spark']\",9.0,7.0,https://pypi.org/project/sk-dist,2020-05-14 22:20:14.000000,2.0,13339.0,13339.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n701,chefboost,serengil/chefboost,,ml-frameworks,https://github.com/serengil/chefboost,https://github.com/serengil/chefboost,MIT,2019-03-06 12:26:27.000000,2021-06-29 13:35:23.000000,2021-06-29 13:35:23.000000,63,,13.0,257.0,316.0,\"A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some..\",5.0,19,False,2021-06-28 19:23:52.000000,0.0.13,13.0,chefboost,,,,,9.0,9.0,https://pypi.org/project/chefboost,2021-06-28 19:23:52.000000,,543.0,543.0,,,,,,,,3.0,,,,,,,,,,,,,,,True,,,,,,,\n702,Auto TS,AutoViML/Auto_TS,,time-series-data,https://github.com/AutoViML/Auto_TS,https://github.com/AutoViML/Auto_TS,Apache-2.0,2020-02-15 15:23:32.000000,2021-06-29 13:49:39.000000,2021-06-29 13:48:07.000000,52,8.0,35.0,255.0,235.0,\"Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of..\",6.0,19,False,2021-06-29 13:49:39.000000,0.0.37,16.0,auto-ts,,,,,,,https://pypi.org/project/auto-ts,2021-06-29 13:49:39.000000,,1307.0,1307.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n703,pyfasttext,vrasneur/pyfasttext,,nlp,https://github.com/vrasneur/pyfasttext,https://github.com/vrasneur/pyfasttext,GPL-3.0,2017-06-30 18:44:42.000000,2018-12-08 15:32:09.000000,2018-12-08 15:02:12.000000,30,21.0,28.0,229.0,153.0,Yet another Python binding for fastText.,4.0,19,False,2018-12-08 15:32:09.000000,0.4.6,13.0,pyfasttext,,,,,178.0,165.0,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09.000000,13.0,4058.0,4064.0,,,,,,,,3.0,327.0,,,,,,,,,,,,,,,,,,,,,\n704,somoclu,peterwittek/somoclu,,distributed-ml,https://github.com/peterwittek/somoclu,https://github.com/peterwittek/somoclu,MIT,2013-01-16 06:33:16.000000,2021-06-14 00:58:58.000000,2021-06-14 00:58:58.000000,58,27.0,105.0,228.0,618.0,\"Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters.\",19.0,19,False,2018-03-03 02:44:37.000000,1.7.5,17.0,somoclu,conda-forge/somoclu,,,,4.0,,https://pypi.org/project/somoclu,2020-04-25 05:33:32.000000,4.0,754.0,1847.0,https://anaconda.org/conda-forge/somoclu,2020-10-13 18:39:07.609000,50484.0,,,,,3.0,1488.0,,,,,,,,,,,,,,,,,,,,,\n705,imodels,csinva/imodels,,interpretability,https://github.com/csinva/imodels,https://github.com/csinva/imodels,MIT,2019-07-04 15:38:48.000000,2021-06-26 06:40:00.000000,2021-06-24 01:06:00.000000,21,,12.0,226.0,360.0,\"Interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible).\",4.0,19,False,2021-03-11 18:51:58.000000,0.2.8,8.0,imodels,,,,,7.0,7.0,https://pypi.org/project/imodels,2021-03-11 18:44:07.000000,,952.0,952.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n706,fairness-indicators,tensorflow/fairness-indicators,,interpretability,https://github.com/tensorflow/fairness-indicators,https://github.com/tensorflow/fairness-indicators,Apache-2.0,2019-09-30 22:56:45.000000,2021-06-10 17:29:49.000000,2021-06-10 17:29:41.000000,59,15.0,7.0,209.0,265.0,Tensorflow's Fairness Evaluation and Visualization Toolkit.,21.0,19,False,2021-05-25 23:38:51.000000,0.30.1,18.0,fairness-indicators,,,,\"['tensorflow', 'jupyter']\",,,https://pypi.org/project/fairness-indicators,2021-05-25 23:38:51.000000,,789.0,789.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n707,pymap3d,geospace-code/pymap3d,,geospatial-data,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03.000000,2021-06-09 19:39:13.000000,2021-06-09 19:39:08.000000,60,2.0,24.0,198.0,,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,10.0,19,False,2021-05-25 21:45:42.000000,2.7.0,49.0,pymap3d,conda-forge/pymap3d,,,,6.0,,https://pypi.org/project/pymap3d,2021-05-25 21:45:42.000000,6.0,47007.0,47664.0,https://anaconda.org/conda-forge/pymap3d,2021-05-26 06:22:15.584000,10512.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n708,gokart,m3dev/gokart,,ml-experiments,https://github.com/m3dev/gokart,https://github.com/m3dev/gokart,MIT,2018-12-23 07:40:27.000000,2021-06-22 11:22:06.000000,2021-06-22 11:22:06.000000,33,9.0,36.0,187.0,413.0,\"Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning..\",27.0,19,False,2021-04-26 01:41:26.000000,1.0.0,56.0,gokart,,,,,2.0,,https://pypi.org/project/gokart,2020-02-25 06:01:19.000000,2.0,848.0,848.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n709,BatchFlow,analysiscenter/batchflow,,data-pipelines,https://github.com/analysiscenter/batchflow,https://github.com/analysiscenter/batchflow,Apache-2.0,2017-03-13 14:22:53.000000,2021-06-29 12:16:43.000000,2021-06-28 13:05:35.000000,37,40.0,65.0,159.0,4562.0,BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and..,30.0,19,False,2021-06-10 10:54:52.000000,0.5.0,7.0,batchflow,,,,,,,https://pypi.org/project/batchflow,2021-06-10 10:54:52.000000,,111.0,111.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n710,flupy,olirice/flupy,,data-pipelines,https://github.com/olirice/flupy,https://github.com/olirice/flupy,MIT,2018-01-06 16:46:04.000000,2021-05-26 18:54:20.000000,2021-05-26 18:54:08.000000,9,,7.0,158.0,180.0,Fluent data pipelines for python and your shell.,4.0,19,False,2021-05-26 18:53:55.000000,1.1.7,35.0,flupy,,,,,0.0,,https://pypi.org/project/flupy,2021-05-26 18:53:55.000000,0.0,58506.0,58506.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n711,nvidia-ml-py3,nicolargo/nvidia-ml-py3,,gpu-utilities,https://github.com/nicolargo/nvidia-ml-py3,https://github.com/nicolargo/nvidia-ml-py3,BSD-3-Clause,2017-06-03 07:47:03.000000,2019-03-06 20:41:10.000000,2019-03-06 20:41:09.000000,15,2.0,,67.0,5.0,Python 3 Bindings for the NVIDIA Management Library.,2.0,19,False,2017-06-03 07:43:46.000000,7.352.0,1.0,nvidia-ml-py3,,,,,3774.0,3554.0,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46.000000,220.0,667822.0,667822.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n712,graph-nets,deepmind/graph_nets,,graph,https://github.com/deepmind/graph_nets,https://github.com/deepmind/graph_nets,Apache-2.0,2018-08-31 08:19:28.000000,2020-12-04 17:43:48.000000,2020-12-04 17:43:47.000000,737,9.0,108.0,4913.0,47.0,Build Graph Nets in Tensorflow.,10.0,18,True,2020-01-29 16:00:25.000000,1.1.0,7.0,graph-nets,,,,['tensorflow'],7.0,,https://pypi.org/project/graph-nets,2020-01-29 16:00:25.000000,7.0,1042.0,1042.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n713,PaddleDetection,PaddlePaddle/PaddleDetection,,image,https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000000,2021-07-01 14:15:48.000000,2021-06-30 07:57:17.000000,1060,453.0,1552.0,4282.0,,Object detection and instance segmentation toolkit based on PaddlePaddle.,63.0,18,True,2021-05-20 11:25:07.000000,2.1.0,3.0,,,,,['paddle'],5.0,5.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n714,LIT,PAIR-code/lit,,interpretability,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000000,2021-07-01 00:50:19.000000,2021-04-05 17:58:30.000000,258,48.0,44.0,2587.0,,The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and..,14.0,18,True,2021-04-05 19:14:45.000000,0.3,5.0,lit-nlp,,,,,3.0,3.0,https://pypi.org/project/lit-nlp,2021-04-05 19:12:37.000000,,429.0,429.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n715,opyrator,ml-tooling/opyrator,,others,https://github.com/ml-tooling/opyrator,https://github.com/ml-tooling/opyrator,MIT,2021-04-06 08:09:06.000000,2021-06-02 04:27:49.000000,2021-05-06 12:10:38.000000,95,14.0,7.0,2282.0,,\"Turns your machine learning code into microservices with web API, interactive GUI, and more.\",4.0,18,True,2021-05-04 18:48:03.000000,0.0.12,11.0,opyrator,,,,,16.0,16.0,https://pypi.org/project/opyrator,2021-05-04 18:48:03.000000,,549.0,549.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n716,cuML,rapidsai/cuml,,gpu-utilities,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000000,2021-07-01 11:36:13.000000,2021-06-30 16:53:24.000000,335,629.0,1171.0,2240.0,,cuML - RAPIDS Machine Learning Library.,131.0,18,True,2021-06-17 15:17:06.000000,21.06.02,11.0,cuml,,,,,0.0,,https://pypi.org/project/cuml,2020-06-01 20:09:10.000000,0.0,629.0,629.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n717,Kashgari,BrikerMan/Kashgari,,nlp,https://github.com/BrikerMan/Kashgari,https://github.com/BrikerMan/Kashgari,Apache-2.0,2019-01-19 01:53:28.000000,2021-05-05 13:40:19.000000,2021-03-21 02:20:20.000000,407,33.0,316.0,2130.0,,Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-..,19.0,18,True,2020-10-30 12:37:01.000000,2.0.1,23.0,kashgari-tf,,,,['tensorflow'],39.0,37.0,https://pypi.org/project/kashgari-tf,2019-10-18 07:57:55.000000,2.0,117.0,117.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n718,spark-deep-learning,databricks/spark-deep-learning,,data-pipelines,https://github.com/databricks/spark-deep-learning,https://github.com/databricks/spark-deep-learning,Apache-2.0,2017-05-31 17:30:28.000000,2021-06-16 09:17:55.000000,2021-01-20 15:00:20.000000,448,73.0,27.0,1853.0,135.0,Deep Learning Pipelines for Apache Spark.,15.0,18,True,2020-01-08 19:50:31.000000,1.6.0,9.0,,,,,['spark'],17.0,17.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n719,Coqui TTS,coqui-ai/TTS,,audio,https://github.com/coqui-ai/TTS,https://github.com/coqui-ai/TTS,MPL-2.0,2020-05-20 15:45:28.000000,2021-06-30 14:23:20.000000,2021-06-08 07:21:01.000000,127,20.0,72.0,1849.0,,\"- a deep learning toolkit for Text-to-Speech, battle-tested in research and production.\",70.0,18,True,2021-06-08 08:57:06.000000,0.0.15.1,10.0,tts,,,,\"['pytorch', 'tensorflow']\",,,https://pypi.org/project/tts,2017-07-14 20:02:42.000000,,2540.0,5478.0,,,,,,,,3.0,11755.0,,,,,,,,,,,,,,True,,,,,,,\n720,riko,nerevu/riko,,data-pipelines,https://github.com/nerevu/riko,https://github.com/nerevu/riko,MIT,2016-06-02 12:22:51.000000,2020-08-14 18:29:28.000000,2020-08-14 16:47:45.000000,72,22.0,8.0,1566.0,1257.0,A Python stream processing engine modeled after Yahoo! Pipes.,18.0,18,True,2020-08-14 18:29:28.000000,0.66.0,58.0,riko,,,,,1.0,,https://pypi.org/project/riko,2020-08-14 18:29:28.000000,1.0,167.0,167.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n721,pytorchvideo,facebookresearch/pytorchvideo,,image,https://github.com/facebookresearch/pytorchvideo,https://github.com/facebookresearch/pytorchvideo,Apache-2.0,2021-03-09 20:39:13.000000,2021-06-29 20:19:38.000000,2021-06-26 09:22:42.000000,99,20.0,32.0,1491.0,79.0,A deep learning library for video understanding research.,20.0,18,True,2021-06-26 00:17:07.000000,0.1.2,7.0,pytorchvideo,,,,['pytorch'],0.0,,https://pypi.org/project/pytorchvideo,2021-06-26 00:17:07.000000,0.0,2358.0,2358.0,,,,,,,,3.0,,,,,,,,,,,,,,,True,,,,,,,\n722,keepsake,replicate/keepsake,,ml-experiments,https://github.com/replicate/keepsake,https://github.com/replicate/keepsake,Apache-2.0,2020-07-01 04:37:44.000000,2021-06-30 23:24:07.000000,2021-05-07 00:33:52.000000,56,123.0,64.0,1489.0,,Version control for machine learning.,16.0,18,True,2021-03-11 21:15:01.000000,0.4.2,7.0,keepsake,,,,,,,https://pypi.org/project/keepsake,2021-03-11 21:15:01.000000,,1689.0,1689.0,,,,,,,,3.0,,,,,,,,,,,,,,,True,,,,,,,\n723,Backtesting.py,kernc/backtesting.py,,financial-data,https://github.com/kernc/backtesting.py,https://github.com/kernc/backtesting.py,AGPL-3.0,2019-01-02 03:11:32.000000,2021-06-23 08:50:34.000000,2021-04-29 23:59:19.000000,328,35.0,204.0,1442.0,230.0,Backtest trading strategies in Python.,13.0,18,False,2017-07-22 02:00:06.000000,0.0.1,1.0,backtesting,,,,,2.0,,https://pypi.org/project/backtesting,2017-07-22 02:00:06.000000,2.0,5248.0,5248.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n724,aim,aimhubio/aim,,ml-experiments,https://github.com/aimhubio/aim,https://github.com/aimhubio/aim,Apache-2.0,2019-05-31 18:25:07.000000,2021-07-01 12:37:19.000000,2021-07-01 10:42:51.000000,77,94.0,92.0,1319.0,,\"Aim a super-easy way to record, search and compare 1000s of ML training runs.\",15.0,18,True,2019-11-06 08:06:11.000000,3.1.0,63.0,aim,,,,,2.0,,https://pypi.org/project/aim,2019-11-06 08:06:11.000000,2.0,40687.0,40687.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n725,doc2text,jlsutherland/doc2text,,ocr,https://github.com/jlsutherland/doc2text,https://github.com/jlsutherland/doc2text,MIT,2016-08-28 19:30:02.000000,2020-12-01 22:56:27.000000,2020-12-01 22:56:26.000000,101,14.0,9.0,1241.0,62.0,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,5.0,18,True,2016-09-06 21:59:21.000000,0.2.4,5.0,doc2text,,,,,41.0,41.0,https://pypi.org/project/doc2text,2016-09-06 21:59:21.000000,,675.0,675.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n726,lightseq,bytedance/lightseq,,nlp,https://github.com/bytedance/lightseq,https://github.com/bytedance/lightseq,Apache-2.0,2019-12-06 08:25:24.000000,2021-07-01 02:50:19.000000,2021-06-30 09:54:04.000000,111,7.0,25.0,1129.0,128.0,LightSeq: A High Performance Library for Sequence Processing and Generation.,6.0,18,True,2021-06-29 10:24:06.000000,2.0.3,8.0,lightseq,,,,,,,https://pypi.org/project/lightseq,2021-06-29 10:24:06.000000,,738.0,760.0,,,,,,,,3.0,420.0,,,,,,,,,,,,,,True,,,,,,,\n727,AdvBox,advboxes/AdvBox,,adversarial,https://github.com/advboxes/AdvBox,https://github.com/advboxes/AdvBox,Apache-2.0,2018-08-08 08:55:41.000000,2021-06-08 19:16:50.000000,2021-05-03 22:51:52.000000,232,8.0,29.0,1117.0,375.0,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,19.0,18,True,2018-12-05 02:48:50.000000,0.4.1,2.0,advbox,,,,,,,https://pypi.org/project/advbox,2018-12-05 02:48:50.000000,,60.0,60.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n728,greykite,linkedin/greykite,,time-series-data,https://github.com/linkedin/greykite,https://github.com/linkedin/greykite,BSD-2-Clause,2021-04-27 17:05:53.000000,2021-06-30 20:34:03.000000,2021-06-30 20:12:11.000000,39,9.0,12.0,1117.0,11.0,\"A flexible, intuitive and fast forecasting library.\",5.0,18,True,2021-05-13 01:52:28.000000,0.1.1,5.0,greykite,,,,,,,https://pypi.org/project/greykite,2021-05-13 01:52:28.000000,,8299.0,8299.0,,,,,,,,3.0,,,,,,,,,,,,,,,True,,,,,,,\n729,iNNvestigate,albermax/innvestigate,,interpretability,https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20.000000,2021-07-01 10:50:13.000000,2021-06-24 18:43:38.000000,182,71.0,155.0,841.0,911.0,A toolbox to iNNvestigate neural networks' predictions!.,19.0,18,True,2020-11-14 11:35:59.000000,1.0.9,2.0,innvestigate,,,,['tensorflow'],1.0,,https://pypi.org/project/innvestigate,2020-11-14 11:35:59.000000,1.0,458.0,458.0,,,,,,,,3.0,,,,,,,,-3.0,,,,,,,,,,,,,,\n730,CrypTen,facebookresearch/CrypTen,,privacy-ml,https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000000,2021-06-25 05:20:35.000000,2021-06-25 05:20:31.000000,116,27.0,51.0,827.0,286.0,A framework for Privacy Preserving Machine Learning.,24.0,18,True,2020-04-21 13:59:37.000000,0.1,1.0,crypten,,,,['pytorch'],11.0,11.0,https://pypi.org/project/crypten,2020-02-05 18:53:03.000000,,324.0,324.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n731,ADTK,arundo/adtk,,time-series-data,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22.000000,2020-04-29 19:54:40.000000,2020-04-17 02:27:44.000000,86,25.0,31.0,678.0,78.0,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,11.0,18,False,2020-04-17 02:18:00.000000,0.6.2,13.0,adtk,,,,,,,https://pypi.org/project/adtk,2020-04-17 02:18:00.000000,,66806.0,66806.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n732,XAI,EthicalML/xai,,interpretability,https://github.com/EthicalML/xai,https://github.com/EthicalML/xai,MIT,2019-01-11 20:00:09.000000,2021-04-23 07:08:20.000000,2021-04-23 07:08:20.000000,100,4.0,3.0,646.0,87.0,XAI - An eXplainability toolbox for machine learning.,3.0,18,True,2019-04-21 14:53:12.000000,0.0.5,5.0,xai,,,,,17.0,11.0,https://pypi.org/project/xai,2019-04-21 14:53:12.000000,6.0,1246.0,1246.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n733,sklearn-deap,rsteca/sklearn-deap,,hyperopt,https://github.com/rsteca/sklearn-deap,https://github.com/rsteca/sklearn-deap,MIT,2015-10-28 22:52:34.000000,2019-12-03 13:29:06.000000,2019-12-03 13:29:04.000000,109,21.0,31.0,642.0,98.0,Use evolutionary algorithms instead of gridsearch in scikit-learn.,21.0,18,False,2019-07-15 09:24:09.000000,0.2.4,13.0,sklearn-deap,,,,['sklearn'],27.0,25.0,https://pypi.org/project/sklearn-deap,2019-07-15 09:24:09.000000,2.0,866.0,866.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n734,Performer Pytorch,lucidrains/performer-pytorch,,pytorch-utils,https://github.com/lucidrains/performer-pytorch,https://github.com/lucidrains/performer-pytorch,MIT,2020-10-03 03:41:36.000000,2021-04-21 06:30:05.000000,2021-04-21 06:29:48.000000,82,25.0,39.0,637.0,,\"An implementation of Performer, a linear attention-based transformer, in Pytorch.\",4.0,18,True,2021-04-21 06:30:05.000000,1.0.11,75.0,performer-pytorch,,,,['pytorch'],25.0,25.0,https://pypi.org/project/performer-pytorch,2021-04-21 05:45:21.000000,0.0,1448.0,1448.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n735,RLax,deepmind/rlax,,reinforcement-learning,https://github.com/deepmind/rlax,https://github.com/deepmind/rlax,Apache-2.0,2020-02-18 07:14:59.000000,2021-06-18 15:22:48.000000,2021-06-18 15:22:13.000000,46,4.0,5.0,623.0,113.0,A library of reinforcement learning building blocks in JAX.,12.0,18,True,2020-02-19 23:01:30.000000,0.1.0,3.0,rlax,,,,['jax'],20.0,20.0,https://pypi.org/project/rlax,2020-02-19 23:01:30.000000,,1061.0,1061.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n736,Dragonfly,dragonfly/dragonfly,,hyperopt,https://github.com/dragonfly/dragonfly,https://github.com/dragonfly/dragonfly,MIT,2018-04-20 22:19:50.000000,2020-07-26 17:44:31.000000,2020-07-03 18:01:17.000000,80,25.0,17.0,585.0,397.0,An open source python library for scalable Bayesian optimisation.,12.0,18,True,2020-07-03 18:05:12.000000,0.1.6,9.0,dragonfly-opt,,,,,2.0,,https://pypi.org/project/dragonfly-opt,2020-07-03 18:05:12.000000,2.0,25536.0,25536.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n737,baikal,alegonz/baikal,,others,https://github.com/alegonz/baikal,https://github.com/alegonz/baikal,BSD-3-Clause,2019-01-21 12:59:02.000000,2021-04-18 08:09:10.000000,2021-04-11 07:50:00.000000,29,6.0,14.0,579.0,405.0,A graph-based functional API for building complex scikit-learn pipelines.,2.0,18,True,2020-11-15 13:40:18.000000,0.4.2,7.0,baikal,conda-forge/cython-blis,,,,3.0,3.0,https://pypi.org/project/baikal,2020-11-15 13:40:18.000000,0.0,397.0,34275.0,https://anaconda.org/conda-forge/cython-blis,2021-01-31 09:13:47.685000,948599.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n738,robustness,MadryLab/robustness,,adversarial,https://github.com/MadryLab/robustness,https://github.com/MadryLab/robustness,MIT,2019-08-21 09:26:33.000000,2021-04-23 19:38:21.000000,2021-03-04 15:19:19.000000,103,9.0,52.0,554.0,139.0,\"A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.\",12.0,18,True,2020-12-01 06:11:12.000000,1.2.1.post2,10.0,robustness,,,,,59.0,57.0,https://pypi.org/project/robustness,2020-12-01 06:21:33.000000,2.0,1825.0,1825.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n739,SKLL,EducationalTestingService/skll,,ml-experiments,https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,BSD-1-Clause,2013-08-02 14:31:46.000000,2021-05-14 14:51:58.000000,2021-04-30 14:40:12.000000,64,38.0,348.0,523.0,,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,35.0,18,False,2021-02-26 03:01:01.000000,2.5,64.0,skll,,,,['sklearn'],47.0,30.0,https://pypi.org/project/skll,2020-03-13 16:23:35.000000,17.0,598.0,598.0,,,,,,,,3.0,10.0,,,,,,,,,,,,,,,,,,,,,\n740,TF Compression,tensorflow/compression,,tensorflow-utils,https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19.000000,2021-06-12 08:59:39.000000,2021-06-12 08:54:12.000000,178,,66.0,503.0,173.0,Data compression in TensorFlow.,10.0,18,True,2021-05-14 00:38:32.000000,2.2,11.0,tensorflow-compression,,,,['tensorflow'],1.0,,https://pypi.org/project/tensorflow-compression,2021-05-14 00:25:53.000000,1.0,970.0,970.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n741,animatplot,t-makaro/animatplot,,data-viz,https://github.com/t-makaro/animatplot,https://github.com/t-makaro/animatplot,MIT,2017-04-03 00:54:04.000000,2021-04-07 10:46:25.000000,2020-10-05 06:14:18.000000,33,17.0,16.0,371.0,178.0,A python package for animating plots build on matplotlib.,7.0,18,True,2020-10-05 06:20:52.000000,0.4.2,10.0,animatplot,conda-forge/animatplot,,,,22.0,20.0,https://pypi.org/project/animatplot,2020-10-05 06:20:52.000000,2.0,576.0,783.0,https://anaconda.org/conda-forge/animatplot,2020-10-06 02:02:00.460000,6019.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n742,Baal,ElementAI/baal,,probabilistics,https://github.com/ElementAI/baal,https://github.com/ElementAI/baal,Apache-2.0,2019-09-30 20:16:26.000000,2021-06-25 22:04:18.000000,2021-06-25 22:04:13.000000,33,11.0,34.0,362.0,113.0,Using approximate bayesian posteriors in deep nets for active learning.,9.0,18,True,2021-03-16 13:48:22.000000,1.3.0,8.0,baal,,,,,9.0,9.0,https://pypi.org/project/baal,2021-03-16 13:38:39.000000,,432.0,432.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n743,tick,X-DataInitiative/tick,,time-series-data,https://github.com/X-DataInitiative/tick,https://github.com/X-DataInitiative/tick,BSD-3-Clause,2016-12-01 10:59:08.000000,2020-08-11 12:36:43.000000,2020-06-15 12:01:36.000000,78,55.0,161.0,347.0,413.0,\"Module for statistical learning, with a particular emphasis on time-dependent modelling.\",16.0,18,False,2019-09-11 11:25:15.000000,0.6,23.0,tick,,,,,40.0,39.0,https://pypi.org/project/tick,2020-05-24 22:01:17.000000,1.0,1651.0,1654.0,,,,,,,,3.0,162.0,,,,,,,,,,,,,,,,,,,,,\n744,Case Recommender,caserec/CaseRecommender,,recommender-systems,https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39.000000,2021-06-17 10:47:07.000000,2021-06-17 10:47:07.000000,72,7.0,17.0,343.0,203.0,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems.,11.0,18,True,2019-08-20 13:48:43.000000,1.1.0,41.0,caserecommender,,,,['sklearn'],9.0,9.0,https://pypi.org/project/caserecommender,2019-08-20 13:48:43.000000,,209.0,209.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n745,Camphr,PKSHATechnology-Research/camphr,,nlp,https://github.com/PKSHATechnology-Research/camphr,https://github.com/PKSHATechnology-Research/camphr,Apache-2.0,2020-02-10 03:39:58.000000,2021-05-21 09:50:00.000000,2021-05-21 09:33:33.000000,18,7.0,23.0,333.0,1399.0,\"spaCy plugin for Transformers , Udify, ELmo, etc.\",7.0,18,True,2021-03-05 10:59:35.000000,0.8.8,45.0,camphr,,,,['spacy'],0.0,,https://pypi.org/project/camphr,2021-03-05 10:59:35.000000,0.0,487.0,487.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n746,textpipe,textpipe/textpipe,,nlp,https://github.com/textpipe/textpipe,https://github.com/textpipe/textpipe,MIT,2018-06-21 16:23:32.000000,2021-06-09 11:55:53.000000,2021-06-09 11:55:53.000000,20,21.0,25.0,291.0,371.0,Textpipe: clean and extract metadata from text.,27.0,18,False,2021-01-25 14:05:21.000000,0.12.2,39.0,textpipe,,,,,1.0,,https://pypi.org/project/textpipe,2021-01-25 14:05:21.000000,1.0,3053.0,3053.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n747,recmetrics,statisticianinstilettos/recmetrics,,recommender-systems,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49.000000,2020-12-03 21:21:02.000000,2020-12-03 21:21:00.000000,62,5.0,7.0,278.0,233.0,A library of metrics for evaluating recommender systems.,12.0,18,False,2019-03-05 04:11:15.000000,0.0.12,14.0,recmetrics,,,,,19.0,19.0,https://pypi.org/project/recmetrics,2019-03-05 04:11:15.000000,,553.0,553.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n748,fletcher,xhochy/fletcher,,data-containers,https://github.com/xhochy/fletcher,https://github.com/xhochy/fletcher,MIT,2018-03-04 16:44:22.000000,2021-02-18 14:46:18.000000,2021-02-18 14:46:18.000000,33,34.0,40.0,213.0,520.0,Pandas ExtensionDType/Array backed by Apache Arrow.,24.0,18,False,2021-01-17 20:11:01.000000,0.7.2,16.0,fletcher,conda-forge/fletcher,,,['pandas'],3.0,3.0,https://pypi.org/project/fletcher,2021-01-17 20:11:01.000000,0.0,258.0,978.0,https://anaconda.org/conda-forge/fletcher,2021-01-17 21:23:17.140000,25949.0,,,,,3.0,12.0,,,,,,,,,,,,,,,,,,,,,\n749,responsible-ai-widgets,microsoft/responsible-ai-widgets,,interpretability,https://github.com/microsoft/responsible-ai-widgets,https://github.com/microsoft/responsible-ai-widgets,MIT,2020-07-06 20:46:53.000000,2021-07-01 06:09:45.000000,2021-06-30 19:43:29.000000,54,83.0,104.0,211.0,,\"This project provides responsible AI user interfaces for Fairlearn, interpret-community, and Error Analysis, as well..\",16.0,18,False,2021-06-28 23:07:45.000000,0.8.0,17.0,raiwidgets,,,,\"['pytorch', 'tensorflow', 'jupyter']\",9.0,9.0,https://pypi.org/project/raiwidgets,2021-06-28 23:07:45.000000,0.0,3424.0,3424.0,,,,,,,,3.0,,,,,,,,,,,,,,,True,,,,,,,\n750,model-card-toolkit,tensorflow/model-card-toolkit,,interpretability,https://github.com/tensorflow/model-card-toolkit,https://github.com/tensorflow/model-card-toolkit,Apache-2.0,2020-07-24 16:48:58.000000,2021-06-24 17:15:23.000000,2021-06-24 15:36:34.000000,28,12.0,2.0,201.0,129.0,a tool that leverages rich metadata and lineage information in MLMD to build a model card.,10.0,18,False,2021-02-05 20:56:01.000000,0.1.3,4.0,model-card-toolkit,,,,,3.0,3.0,https://pypi.org/project/model-card-toolkit,2021-02-05 20:54:29.000000,,289.0,289.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n751,Muda,bmcfee/muda,,audio,https://github.com/bmcfee/muda,https://github.com/bmcfee/muda,ISC,2014-11-07 21:21:22.000000,2021-05-03 14:04:37.000000,2021-05-03 14:04:36.000000,34,5.0,44.0,190.0,293.0,A library for augmenting annotated audio data.,7.0,18,False,2019-11-15 15:46:21.000000,0.4.1,11.0,muda,,,,,10.0,9.0,https://pypi.org/project/muda,2019-11-15 15:46:21.000000,1.0,145.0,145.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n752,Funsor,pyro-ppl/funsor,,probabilistics,https://github.com/pyro-ppl/funsor,https://github.com/pyro-ppl/funsor,Apache-2.0,2019-01-30 23:13:39.000000,2021-07-01 03:40:54.000000,2021-05-12 23:08:42.000000,15,70.0,67.0,173.0,534.0,Functional tensors for probabilistic programming.,9.0,18,False,2021-01-24 17:27:54.000000,0.4.0,6.0,funsor,,,,['pytorch'],13.0,13.0,https://pypi.org/project/funsor,2021-01-24 17:26:50.000000,0.0,564.0,564.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n753,AugLy,facebookresearch/AugLy,,others,https://github.com/facebookresearch/AugLy,https://github.com/facebookresearch/AugLy,MIT,2021-06-09 17:57:28.000000,2021-07-01 12:44:02.000000,2021-07-01 08:42:31.000000,131,5.0,15.0,3362.0,,\"A data augmentations library for audio, image, text, and video.\",5.0,17,True,2021-06-29 21:28:18.000000,0.1.4,9.0,augly,,,,,1.0,1.0,https://pypi.org/project/augly,2021-06-29 21:28:18.000000,,2183.0,2183.0,,,,,,,,3.0,,,,,,,,,,,,,,,True,,,,,,,\n754,DALI,NVIDIA/DALI,,gpu-utilities,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000000,2021-07-01 15:15:02.000000,2021-07-01 14:28:24.000000,405,171.0,829.0,3338.0,,A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to..,59.0,17,True,2021-06-30 13:15:12.000000,1.3.0,41.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n755,ReAgent,facebookresearch/ReAgent,,reinforcement-learning,https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000000,2021-07-01 07:33:16.000000,2021-07-01 07:32:53.000000,405,20.0,75.0,2950.0,1236.0,\"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).\",102.0,17,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n756,Spotlight,maciejkula/spotlight,,recommender-systems,https://github.com/maciejkula/spotlight,https://github.com/maciejkula/spotlight,MIT,2017-06-25 18:52:19.000000,2020-11-15 08:21:28.000000,2020-02-09 21:03:48.000000,373,67.0,48.0,2519.0,299.0,Deep recommender models using PyTorch.,11.0,17,False,2019-09-08 10:19:53.000000,0.1.6,7.0,,maciejkula/spotlight,,,['pytorch'],,,,,,,128.0,https://anaconda.org/maciejkula/spotlight,2018-05-27 18:32:12.235000,6278.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n757,pycls,facebookresearch/pycls,,image,https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17.000000,2021-07-01 00:39:13.000000,2021-06-30 15:54:02.000000,180,17.0,49.0,1630.0,84.0,\"Codebase for Image Classification Research, written in PyTorch.\",13.0,17,True,2021-05-21 00:29:47.000000,0.2,2.0,,,,,['pytorch'],3.0,3.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n758,BlazingSQL,BlazingDB/blazingsql,,gpu-utilities,https://github.com/BlazingDB/blazingsql,https://github.com/BlazingDB/blazingsql,Apache-2.0,2018-09-24 18:25:45.000000,2021-07-01 14:30:46.000000,2021-06-29 20:09:06.000000,144,129.0,582.0,1527.0,,\"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.\",46.0,17,True,2021-04-21 21:35:59.000000,0.19.0,17.0,,blazingsql/blazingsql-protocol,,,,,,,,,,42.0,https://anaconda.org/blazingsql/blazingsql-protocol,2019-11-11 19:54:17.621000,928.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n759,Lambda Networks,lucidrains/lambda-networks,,pytorch-utils,https://github.com/lucidrains/lambda-networks,https://github.com/lucidrains/lambda-networks,MIT,2020-10-08 19:01:15.000000,2020-11-18 19:54:34.000000,2020-11-18 19:54:30.000000,150,12.0,15.0,1469.0,,\"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.\",3.0,17,True,2020-11-18 08:19:23.000000,0.4.0,11.0,lambda-networks,,,,['pytorch'],3.0,3.0,https://pypi.org/project/lambda-networks,2020-11-18 08:19:23.000000,,1011.0,1011.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n760,Advisor,tobegit3hub/advisor,,hyperopt,https://github.com/tobegit3hub/advisor,https://github.com/tobegit3hub/advisor,Apache-2.0,2017-09-14 03:50:33.000000,2019-11-11 07:09:57.869705,2019-11-11 06:59:31.000000,249,20.0,13.0,1380.0,165.0,Open-source implementation of Google Vizier for hyper parameters tuning.,11.0,17,False,2018-10-18 02:54:09.000000,0.1.6,4.0,advisor,,tobegit3hub/advisor,,,,,https://pypi.org/project/advisor,2018-10-18 02:54:09.000000,,69.0,103.0,,,,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1595.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n761,zenml,maiot-io/zenml,,data-pipelines,https://github.com/maiot-io/zenml,https://github.com/maiot-io/zenml,Apache-2.0,2020-11-19 09:25:46.000000,2021-06-30 15:03:35.000000,2021-06-30 15:03:33.000000,63,16.0,31.0,1192.0,,ZenML : MLOps framework to create reproducible ML pipelines for production machine learning.,13.0,17,True,2021-06-07 07:09:13.000000,0.3.8,34.0,zenml,,,,,1.0,1.0,https://pypi.org/project/zenml,2021-06-10 19:31:02.000000,,828.0,828.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n762,sklearn-porter,nok/sklearn-porter,,model-serialisation,https://github.com/nok/sklearn-porter,https://github.com/nok/sklearn-porter,MIT,2016-06-22 22:21:34.000000,2021-06-01 22:52:09.000000,2019-12-18 13:31:50.000000,138,42.0,29.0,1049.0,699.0,\"Transpile trained scikit-learn estimators to C, Java, JavaScript and others.\",11.0,17,False,2019-12-18 13:39:19.000000,0.7.4,20.0,sklearn-porter,,,,['sklearn'],1.0,,https://pypi.org/project/sklearn-porter,2019-12-18 13:39:19.000000,1.0,455.0,455.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n763,DIG,divelab/DIG,,graph,https://github.com/divelab/DIG,https://github.com/divelab/DIG,GPL-3.0,2020-10-30 03:51:15.000000,2021-07-01 05:35:17.000000,2021-07-01 05:35:17.000000,84,2.0,24.0,768.0,,A library for graph deep learning research.,23.0,17,False,2021-05-20 23:53:44.000000,0.0.4,10.0,dig,,,,,8.0,,https://pypi.org/project/dig,2015-08-23 10:30:20.000000,8.0,298.0,298.0,,,,,,,,3.0,,,,,,,,,,,,,,,True,,,,,,,\n764,Tez,abhishekkrthakur/tez,,pytorch-utils,https://github.com/abhishekkrthakur/tez,https://github.com/abhishekkrthakur/tez,Apache-2.0,2020-11-13 10:19:22.000000,2021-05-14 20:03:19.000000,2021-05-05 18:56:37.000000,85,13.0,7.0,616.0,,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,,17,True,2021-05-05 18:57:21.000000,0.1.4,10.0,tez,,,,['pytorch'],6.0,6.0,https://pypi.org/project/tez,2021-05-05 18:57:21.000000,0.0,885.0,885.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n765,AlphaPy,ScottfreeLLC/AlphaPy,,hyperopt,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32.000000,2021-02-08 21:35:40.000000,2021-02-08 21:35:40.000000,136,9.0,29.0,613.0,409.0,\"Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost.\",3.0,17,True,2020-08-29 18:48:20.000000,2.5.0,25.0,alphapy,,,,,3.0,3.0,https://pypi.org/project/alphapy,2020-08-29 18:44:15.000000,,176.0,176.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n766,nboost,koursaros-ai/nboost,,nlp,https://github.com/koursaros-ai/nboost,https://github.com/koursaros-ai/nboost,Apache-2.0,2019-10-29 20:56:24.000000,2020-09-30 14:51:16.000000,2020-07-16 19:48:25.000000,64,29.0,49.0,576.0,1336.0,\"NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search..\",10.0,17,True,2020-06-12 20:05:15.000000,0.3.9,26.0,nboost,,,,,3.0,3.0,https://pypi.org/project/nboost,2020-06-12 20:05:15.000000,,114.0,114.0,,,,,,,,3.0,,,,,,,,,,,,,,,True,,,,,,,\n767,Tensor Sensor,parrt/tensor-sensor,,pytorch-utils,https://github.com/parrt/tensor-sensor,https://github.com/parrt/tensor-sensor,MIT,2020-08-28 22:54:04.000000,2021-05-26 23:19:21.000000,2021-05-26 23:19:17.000000,27,5.0,13.0,560.0,167.0,The goal of this library is to generate more helpful exception messages for numpy/pytorch matrix algebra expressions.,2.0,17,True,2021-05-26 23:15:44.000000,0.1.2,35.0,tensor-sensor,,,,['pytorch'],2.0,2.0,https://pypi.org/project/tensor-sensor,2021-05-26 23:15:44.000000,,685.0,685.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n768,avalanche,ContinualAI/avalanche,,others,https://github.com/ContinualAI/avalanche,https://github.com/ContinualAI/avalanche,MIT,2020-03-05 11:32:13.000000,2021-07-01 12:53:14.000000,2021-06-26 13:57:40.000000,72,61.0,310.0,514.0,1895.0,Avalanche: an End-to-End Library for Continual Learning.,33.0,17,True,2021-03-11 11:51:35.000000,0.0.1,1.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,True,,,,,,,\n769,Vulkan Kompute,EthicalML/vulkan-kompute,,gpu-utilities,https://github.com/EthicalML/vulkan-kompute,https://github.com/EthicalML/vulkan-kompute,Apache-2.0,2020-07-29 05:23:33.000000,2021-06-28 10:06:13.000000,2021-06-21 07:00:58.000000,35,53.0,96.0,419.0,873.0,\"General purpose GPU compute framework for cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast,..\",14.0,17,True,2021-03-14 16:03:43.000000,0.7.0,11.0,kp,,,,,2.0,2.0,https://pypi.org/project/kp,2021-03-14 15:37:22.000000,,128.0,133.0,,,,,,,,3.0,62.0,,,,,,,,,,,,,,,,,,,,,\n770,BioPandas,rasbt/biopandas,,others,https://github.com/rasbt/biopandas,https://github.com/rasbt/biopandas,BSD-3-Clause,2015-11-21 00:00:14.000000,2021-04-07 03:17:51.000000,2021-04-07 03:17:51.000000,82,15.0,21.0,358.0,,Working with molecular structures in pandas DataFrames.,7.0,17,True,2021-03-03 00:55:13.000000,0.2.8,12.0,biopandas,conda-forge/biopandas,,,['pandas'],6.0,,https://pypi.org/project/biopandas,2021-03-03 00:55:13.000000,6.0,867.0,2289.0,https://anaconda.org/conda-forge/biopandas,2020-08-08 06:33:59.197000,78216.0,,,,,3.0,,,,,,,,-3.0,,,,,,,,,,,,,,\n771,pdvega,altair-viz/pdvega,,data-viz,https://github.com/altair-viz/pdvega,https://github.com/altair-viz/pdvega,MIT,2018-01-11 21:30:27.000000,2019-03-29 16:09:14.000000,2019-03-29 16:09:13.000000,29,16.0,10.0,340.0,177.0,Interactive plotting for Pandas using Vega-Lite.,9.0,17,False,,,1.0,pdvega,,,,,58.0,51.0,https://pypi.org/project/pdvega,2018-02-01 04:56:43.000000,7.0,162.0,162.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n772,carefree-learn,carefree0910/carefree-learn,,tabular,https://github.com/carefree0910/carefree-learn,https://github.com/carefree0910/carefree-learn,MIT,2020-06-17 17:44:17.000000,2021-06-24 12:42:45.000000,2021-04-12 01:09:21.000000,28,4.0,75.0,336.0,194.0,Tabular Datasets PyTorch.,1.0,17,True,2021-04-09 01:12:31.000000,0.1.16,17.0,carefree-learn,,,,['pytorch'],2.0,2.0,https://pypi.org/project/carefree-learn,2021-03-18 01:39:58.000000,,331.0,331.0,,,,,,,,1.0,,,,,,,,,,,,,,,True,,,,,,,\n773,datmo,datmo/datmo,,ml-experiments,https://github.com/datmo/datmo,https://github.com/datmo/datmo,MIT,2017-11-03 05:46:43.000000,2021-06-01 22:48:33.000000,2019-11-29 00:48:44.000000,27,42.0,149.0,334.0,1051.0,Open source production model management tool for data scientists.,6.0,17,False,2018-12-07 06:16:42.000000,0.0.40,41.0,datmo,,,,,5.0,5.0,https://pypi.org/project/datmo,2018-12-07 06:16:42.000000,,114.0,114.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n774,apricot,jmschrei/apricot,,others,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12.000000,2021-02-18 03:37:56.000000,2021-02-18 03:37:55.000000,30,3.0,15.0,320.0,167.0,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,2.0,17,True,2020-09-28 07:19:15.000000,0.6.0,13.0,apricot-select,,,,,19.0,19.0,https://pypi.org/project/apricot-select,2020-09-28 07:19:15.000000,0.0,733.0,733.0,,,,,,,,3.0,8.0,,,,,,,,,,,,,,,,,,,,,\n775,scikit-tda,scikit-tda/scikit-tda,,sklearn-utils,https://github.com/scikit-tda/scikit-tda,https://github.com/scikit-tda/scikit-tda,MIT,2018-04-13 21:00:31.000000,2021-01-09 19:51:04.000000,2021-01-09 19:50:05.000000,33,11.0,4.0,293.0,56.0,Topological Data Analysis for Python.,2.0,17,False,2021-01-09 19:51:04.000000,0.1.0,3.0,scikit-tda,,,,['sklearn'],20.0,20.0,https://pypi.org/project/scikit-tda,2021-01-09 19:51:04.000000,,4033.0,4033.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n776,solt,MIPT-Oulu/solt,,image,https://github.com/MIPT-Oulu/solt,https://github.com/MIPT-Oulu/solt,MIT,2018-08-02 15:09:05.000000,2020-12-05 11:06:18.000000,2020-04-09 06:44:39.000000,19,16.0,30.0,252.0,336.0,Streaming over lightweight data transformations.,4.0,17,False,2020-03-10 14:09:31.000000,0.1.9,18.0,solt,,,,,24.0,21.0,https://pypi.org/project/solt,2020-03-10 14:09:31.000000,3.0,200.0,200.0,,,,,,,,3.0,,,,,,,,,,,,,,,True,,,,,,,\n777,bodywork-core,bodywork-ml/bodywork-core,,data-pipelines,https://github.com/bodywork-ml/bodywork-core,https://github.com/bodywork-ml/bodywork-core,AGPL-3.0,2020-11-17 11:38:17.000000,2021-06-30 08:01:10.000000,2021-06-24 09:03:35.000000,11,5.0,26.0,246.0,461.0,MLOps tool for deploying machine learning projects to Kubernetes.,4.0,17,False,2021-06-23 08:18:20.000000,2.1.5,44.0,bodywork,,,,,4.0,4.0,https://pypi.org/project/bodywork,2021-06-24 09:09:36.000000,,736.0,736.0,,,,,,,,3.0,,,,,,,,6.0,,,,,,,,,,,,,,\n778,DeepGraph,deepgraph/deepgraph,,graph,https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45.000000,2021-06-14 10:58:14.000000,2021-06-14 10:58:10.000000,35,8.0,5.0,237.0,162.0,Analyze Data with Pandas-based Networks. Documentation:.,2.0,17,False,2020-10-01 13:20:38.000000,0.2.3,13.0,deepgraph,conda-forge/deepgraph,,,['pandas'],1.0,1.0,https://pypi.org/project/deepgraph,2020-10-01 13:18:38.000000,,379.0,2499.0,https://anaconda.org/conda-forge/deepgraph,2021-01-15 08:36:25.609000,99656.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n779,elegy,poets-ai/elegy,,ml-frameworks,https://github.com/poets-ai/elegy,https://github.com/poets-ai/elegy,Apache-2.0,2020-06-30 14:00:37.000000,2021-06-01 16:05:08.000000,2021-06-01 16:05:00.000000,13,21.0,38.0,225.0,304.0,Elegy is a framework-agnostic Trainer interface for the Jax ecosystem.,13.0,17,False,2021-06-01 15:54:50.000000,0.7.4,23.0,elegy,,,,\"['tensorflow', 'jax']\",,,https://pypi.org/project/elegy,2021-06-01 15:45:43.000000,,326.0,326.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n780,ExplainX.ai,explainX/explainx,,interpretability,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15.000000,2021-02-07 11:06:21.000000,2021-02-02 09:03:57.000000,36,10.0,17.0,211.0,184.0,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,4.0,17,False,2021-02-07 11:06:21.000000,2.407,56.0,explainx,,,,,,,https://pypi.org/project/explainx,2021-02-04 16:44:24.000000,,1392.0,1392.0,,,,,,,,3.0,1.0,,,,,,,,,,,,,,,,,,,,,\n781,Julius,adefossez/julius,,audio,https://github.com/adefossez/julius,https://github.com/adefossez/julius,MIT,2020-10-26 10:54:21.000000,2021-06-22 15:54:57.000000,2021-06-22 15:53:16.000000,9,,6.0,201.0,,Fast PyTorch based DSP for audio and 1D signals.,2.0,17,False,2021-06-22 15:53:57.000000,0.2.4,8.0,julius,,,,['pytorch'],23.0,23.0,https://pypi.org/project/julius,2021-06-22 15:53:57.000000,0.0,5098.0,5098.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n782,lkpy,lenskit/lkpy,,recommender-systems,https://github.com/lenskit/lkpy,https://github.com/lenskit/lkpy,MIT,2018-06-08 21:05:10.000000,2021-06-22 22:27:42.000000,2021-06-22 22:27:36.000000,49,26.0,60.0,173.0,,Python recommendation toolkit.,13.0,17,False,2021-06-22 17:06:47.000000,0.13.1,20.0,lenskit,conda-forge/lenskit,,,,0.0,,https://pypi.org/project/lenskit,2021-06-22 17:07:09.000000,0.0,1730.0,2298.0,https://anaconda.org/conda-forge/lenskit,2021-06-22 22:08:21.249000,4551.0,,,,,3.0,,,,,,,,,,,,,,,True,,,,,,,\n783,Larq Compute Engine,larq/compute-engine,,model-serialisation,https://github.com/larq/compute-engine,https://github.com/larq/compute-engine,Apache-2.0,2019-08-29 15:02:43.000000,2021-06-24 21:30:41.000000,2021-06-24 17:49:34.000000,23,24.0,97.0,151.0,,Highly optimized inference engine for Binarized Neural Networks.,16.0,17,False,2021-06-11 10:28:07.000000,0.6.0,13.0,larq-compute-engine,,,,,3.0,3.0,https://pypi.org/project/larq-compute-engine,2021-06-11 16:29:46.000000,,546.0,560.0,,,,,,,,3.0,240.0,,,,,,,,,,,,,,,,,,,,,\n784,textaugment,dsfsi/textaugment,,nlp,https://github.com/dsfsi/textaugment,https://github.com/dsfsi/textaugment,MIT,2019-05-06 12:28:19.000000,2021-06-28 17:34:26.000000,2021-06-28 17:34:05.000000,25,8.0,10.0,148.0,54.0,TextAugment: Text Augmentation Library.,4.0,17,False,2020-11-05 15:04:26.000000,1.3.4,8.0,textaugment,,,,,5.0,5.0,https://pypi.org/project/textaugment,2020-11-05 15:02:11.000000,,3052.0,3053.0,,,,,,,,3.0,42.0,,,,,,,,,,,,,,True,,,,,,,\n785,pyRDF2Vec,IBCNServices/pyRDF2Vec,,graph,https://github.com/IBCNServices/pyRDF2Vec,https://github.com/IBCNServices/pyRDF2Vec,MIT,2019-06-13 11:36:12.000000,2021-06-10 22:38:02.000000,2021-06-10 22:34:22.000000,20,3.0,34.0,119.0,1134.0,Python Implementation and Extension of RDF2Vec.,5.0,17,False,2021-06-09 10:56:14.000000,0.2.3,11.0,pyrdf2vec,,,,,,,https://pypi.org/project/pyrdf2vec,2021-06-09 10:56:14.000000,,250.0,250.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n786,dabl,amueller/dabl,,sklearn-utils,https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49.000000,2021-05-29 00:00:25.000000,2020-07-08 16:14:41.000000,7,1.0,,86.0,252.0,Data Analysis Baseline Library.,18.0,17,False,2021-02-27 01:25:17.000000,0.2.0,11.0,dabl,,,,['sklearn'],,,https://pypi.org/project/dabl,2021-02-27 01:25:17.000000,,2155.0,2155.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n787,DE⫶TR,facebookresearch/detr,,image,https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52.000000,2021-06-30 10:31:24.000000,2021-06-30 10:31:23.000000,1174,95.0,250.0,7124.0,42.0,End-to-End Object Detection with Transformers.,21.0,16,True,2020-06-29 16:41:01.000000,0.2,1.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n788,DeepMind Lab,deepmind/lab,,reinforcement-learning,https://github.com/deepmind/lab,https://github.com/deepmind/lab,GPL-2.0,2016-11-30 13:41:26.000000,2021-05-27 11:52:15.000000,2021-05-27 11:51:34.000000,1310,41.0,158.0,6484.0,484.0,A customisable 3D platform for agent-based AI research.,7.0,16,False,2020-12-07 11:26:33.000000,release-2020-12-07,8.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n789,tinygrad,geohot/tinygrad,,pytorch-utils,https://github.com/geohot/tinygrad,https://github.com/geohot/tinygrad,MIT,2020-10-18 16:23:12.000000,2021-06-29 20:54:24.000000,2021-06-29 14:20:54.000000,537,21.0,63.0,4824.0,561.0,You like pytorch? You like micrograd? You love tinygrad!.,49.0,16,True,,,,,,,,['pytorch'],1.0,1.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n790,PySlowFast,facebookresearch/SlowFast,,image,https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26.000000,2021-07-01 06:40:46.000000,2021-07-01 06:40:41.000000,762,208.0,218.0,3876.0,143.0,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,24.0,16,True,,,,,,,,['pytorch'],4.0,4.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n791,automl-gs,minimaxir/automl-gs,,hyperopt,https://github.com/minimaxir/automl-gs,https://github.com/minimaxir/automl-gs,MIT,2019-01-13 18:57:44.000000,2019-10-22 11:20:40.000000,2019-04-05 06:48:14.000000,164,26.0,6.0,1747.0,102.0,\"Provide an input CSV and a target field to predict, generate a model + code to run it.\",7.0,16,False,2019-04-05 06:51:04.000000,0.2.1,2.0,automl_gs,,,,,,,https://pypi.org/project/automl_gs,2019-04-05 06:47:54.000000,,39.0,39.0,,,,,,,,3.0,21.0,,,,,,,,,,,,,,,,,,,,,\n792,Mara Pipelines,mara/mara-pipelines,,data-pipelines,https://github.com/mara/mara-pipelines,https://github.com/mara/mara-pipelines,MIT,2018-03-31 20:37:22.000000,2021-03-08 23:02:36.000000,2021-03-08 23:02:33.000000,80,11.0,12.0,1737.0,134.0,\"A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow.\",16.0,16,True,2021-01-23 22:34:03.000000,3.1.2,7.0,mara-pipelines,,,,,7.0,7.0,https://pypi.org/project/mara-pipelines,2021-01-23 22:34:03.000000,,111.0,111.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n793,Antialiased CNNs,adobe/antialiased-cnns,,pytorch-utils,https://github.com/adobe/antialiased-cnns,https://github.com/adobe/antialiased-cnns,CC BY-NC-SA 4.0,2019-05-14 20:51:25.000000,2021-03-01 18:01:57.000000,2020-10-22 19:40:07.000000,178,9.0,31.0,1391.0,238.0,pip install antialiased-cnns to improve stability and accuracy.,6.0,16,False,2020-10-23 22:45:52.000000,0.3,6.0,antialiased-cnns,,,,['pytorch'],1.0,1.0,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49.000000,,512.0,512.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n794,Xcessiv,reiinakano/xcessiv,,hyperopt,https://github.com/reiinakano/xcessiv,https://github.com/reiinakano/xcessiv,Apache-2.0,2017-03-07 18:18:25.000000,2018-06-06 22:23:37.000000,2017-08-21 00:51:15.000000,109,22.0,13.0,1258.0,316.0,\"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.\",6.0,16,False,2017-08-21 00:53:25.000000,0.5.1,34.0,xcessiv,,,,,2.0,1.0,https://pypi.org/project/xcessiv,2017-08-21 00:49:41.000000,1.0,93.0,93.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n795,Botflow,kkyon/botflow,,data-pipelines,https://github.com/kkyon/botflow,https://github.com/kkyon/botflow,BSD-3-Clause,2018-08-20 03:13:31.000000,2020-12-31 09:03:22.000000,2019-05-23 14:40:50.000000,99,2.0,2.0,1175.0,192.0,\"Python Fast Dataflow programming framework for Data pipeline work( Web Crawler,Machine Learning,Quantitative..\",11.0,16,False,2018-09-14 14:38:32.000000,0.2.0,5.0,botflow,,,,,1.0,1.0,https://pypi.org/project/botflow,2018-09-14 14:38:32.000000,,82.0,82.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n796,cuGraph,rapidsai/cugraph,,gpu-utilities,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000000,2021-06-30 20:08:33.000000,2021-06-30 13:09:37.000000,151,111.0,560.0,756.0,,cuGraph - RAPIDS Graph Analytics Library.,64.0,16,True,2021-06-09 21:07:01.000000,21.06.00,9.0,cugraph,,,,,0.0,,https://pypi.org/project/cugraph,2020-06-01 20:09:06.000000,0.0,85.0,85.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n797,NeoML,neoml-lib/neoml,,ml-frameworks,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000000,2021-07-01 14:02:22.000000,2021-07-01 14:02:12.000000,87,31.0,16.0,625.0,373.0,Machine learning framework for both deep learning and traditional algorithms.,21.0,16,True,2021-06-22 05:25:53.000000,NeoML-master_2.0.5.0,2.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n798,SpeedTorch,Santosh-Gupta/SpeedTorch,,gpu-utilities,https://github.com/Santosh-Gupta/SpeedTorch,https://github.com/Santosh-Gupta/SpeedTorch,MIT,2019-09-07 18:57:52.000000,2020-02-21 23:13:29.000000,2020-02-21 23:13:28.000000,39,3.0,2.0,622.0,170.0,Library for faster pinned CPU - GPU transfer in Pytorch.,3.0,16,False,2020-01-06 05:27:17.000000,0.1.6,14.0,SpeedTorch,,,,['pytorch'],5.0,3.0,https://pypi.org/project/SpeedTorch,2020-01-06 05:27:17.000000,2.0,78.0,78.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n799,FlashTorch,MisaOgura/flashtorch,,interpretability,https://github.com/MisaOgura/flashtorch,https://github.com/MisaOgura/flashtorch,MIT,2019-03-22 13:00:57.000000,2021-06-30 12:46:02.000000,2021-04-27 11:10:20.000000,71,10.0,22.0,602.0,127.0,Visualization toolkit for neural networks in PyTorch! Demo --.,2.0,16,True,2020-05-29 14:39:38.000000,0.1.3,12.0,flashtorch,,,,['pytorch'],6.0,6.0,https://pypi.org/project/flashtorch,2020-05-29 14:38:32.000000,,210.0,210.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n800,Auto Tune Models,HDI-Project/ATM,,hyperopt,https://github.com/HDI-Project/ATM,https://github.com/HDI-Project/ATM,MIT,2016-10-14 18:03:00.000000,2020-02-21 17:44:07.000000,2020-02-21 17:40:58.000000,128,17.0,71.0,507.0,775.0,\"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).\",16.0,16,False,2019-07-30 09:28:26.000000,0.2.2,14.0,atm,,,,,6.0,6.0,https://pypi.org/project/atm,2019-07-30 09:25:11.000000,,141.0,141.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n801,kglib,vaticle/kglib,,graph,https://github.com/vaticle/kglib,https://github.com/vaticle/kglib,Apache-2.0,2018-09-16 16:46:48.000000,2021-05-31 07:19:24.000000,2021-01-15 11:17:51.000000,84,12.0,49.0,436.0,487.0,Grakn Knowledge Graph Library (ML R&D).,7.0,16,True,2020-08-19 15:39:10.000000,0.2.2,7.0,grakn-kglib,,,,,,,https://pypi.org/project/grakn-kglib,2020-08-19 15:39:10.000000,,135.0,141.0,,,,,,,,3.0,207.0,,,,,,,,,,,,,,,,,,,,,\n802,OpenRec,ylongqi/openrec,,recommender-systems,https://github.com/ylongqi/openrec,https://github.com/ylongqi/openrec,Apache-2.0,2017-11-29 16:04:40.000000,2021-05-21 14:50:17.000000,2020-02-19 07:57:17.000000,84,5.0,12.0,377.0,213.0,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms.,11.0,16,False,2020-02-18 06:52:11.000000,0.3.0,12.0,openrec,,,,,2.0,1.0,https://pypi.org/project/openrec,2020-02-18 06:52:11.000000,1.0,38.0,38.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n803,atspy,firmai/atspy,,time-series-data,https://github.com/firmai/atspy,https://github.com/firmai/atspy,MIT,2020-01-28 05:00:10.000000,2021-05-21 16:09:11.000000,2020-11-12 16:15:26.000000,68,18.0,2.0,360.0,97.0,AtsPy: Automated Time Series Models in Python (by @firmai).,5.0,16,True,2020-11-12 16:10:48.000000,zen,39.0,atspy,,,,,3.0,3.0,https://pypi.org/project/atspy,2020-04-24 18:16:15.000000,,642.0,642.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n804,Sematch,gsi-upm/sematch,,graph,https://github.com/gsi-upm/sematch,https://github.com/gsi-upm/sematch,Apache-2.0,2012-11-30 11:11:53.000000,2020-11-05 21:20:52.000000,2019-03-27 03:17:24.000000,99,14.0,19.0,356.0,122.0,semantic similarity framework for knowledge graph.,5.0,16,False,2017-04-17 10:56:52.000000,1.0.4,5.0,sematch,,,,,32.0,29.0,https://pypi.org/project/sematch,2017-04-17 10:56:52.000000,3.0,122.0,122.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n805,pytorch_tabular,manujosephv/pytorch_tabular,,tabular,https://github.com/manujosephv/pytorch_tabular,https://github.com/manujosephv/pytorch_tabular,MIT,2020-12-15 07:17:03.000000,2021-06-24 03:21:20.000000,2021-06-20 06:46:55.000000,28,12.0,16.0,347.0,,A standard framework for modelling Deep Learning Models for tabular data.,1.0,16,True,2021-06-20 06:57:47.000000,0.6.0,7.0,pytorch_tabular,,,,['pytorch'],,,https://pypi.org/project/pytorch_tabular,2021-06-20 06:57:47.000000,,1151.0,1151.0,,,,,,,,3.0,,,,,,,,,,,,,,,True,,,,,,,\n806,VizSeq,facebookresearch/vizseq,,nlp,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38.000000,2021-06-16 13:39:30.000000,2021-06-16 13:39:22.000000,40,7.0,8.0,341.0,50.0,\"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).\",3.0,16,True,2020-08-07 01:13:52.000000,0.1.15,16.0,vizseq,,,,,2.0,2.0,https://pypi.org/project/vizseq,2020-08-07 01:13:52.000000,,284.0,284.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n807,Pywick,achaiah/pywick,,pytorch-utils,https://github.com/achaiah/pywick,https://github.com/achaiah/pywick,MIT,2019-03-25 15:42:47.000000,2021-06-29 16:51:28.000000,2021-05-17 15:46:51.000000,36,3.0,10.0,327.0,124.0,High-level batteries-included neural network training library for Pytorch.,4.0,16,True,2020-01-20 22:14:21.000000,0.5.6,6.0,pywick,,,,['pytorch'],3.0,3.0,https://pypi.org/project/pywick,2020-01-20 22:14:21.000000,,76.0,76.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n808,TextBox,RUCAIBox/TextBox,,nlp,https://github.com/RUCAIBox/TextBox,https://github.com/RUCAIBox/TextBox,MIT,2020-11-08 07:35:46.000000,2021-06-09 10:30:04.000000,2021-06-09 10:30:04.000000,43,2.0,5.0,277.0,,TextBox is an open-source library for building text generation system.,10.0,16,False,2021-04-15 13:39:28.000000,0.2.1,10.0,textbox,,,,,5.0,5.0,https://pypi.org/project/textbox,2021-04-15 09:35:06.000000,,89.0,89.0,,,,,,,,3.0,,,,,,,,,,,,,,,True,,,,,,,\n809,Headliner,as-ideas/headliner,,nlp,https://github.com/as-ideas/headliner,https://github.com/as-ideas/headliner,MIT,2019-09-30 11:33:28.000000,2021-03-26 07:19:57.000000,2020-02-14 09:03:27.000000,38,1.0,13.0,229.0,276.0,Easy training and deployment of seq2seq models.,2.0,16,False,2020-01-24 09:06:29.000000,1.0.2,30.0,headliner,,,,,4.0,3.0,https://pypi.org/project/headliner,2020-01-24 09:06:29.000000,1.0,321.0,321.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n810,skift,shaypal5/skift,,nlp,https://github.com/shaypal5/skift,https://github.com/shaypal5/skift,MIT,2018-02-03 11:37:21.000000,2021-03-31 10:11:28.000000,2021-03-31 10:11:20.000000,22,2.0,8.0,219.0,129.0,scikit-learn wrappers for Python fastText.,7.0,16,False,2020-08-27 15:01:05.000000,0.0.19,15.0,skift,,,,['sklearn'],8.0,8.0,https://pypi.org/project/skift,2020-08-27 15:01:05.000000,,528.0,528.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n811,Parfit,jmcarpenter2/parfit,,hyperopt,https://github.com/jmcarpenter2/parfit,https://github.com/jmcarpenter2/parfit,MIT,2017-11-22 20:17:51.000000,2020-04-04 19:26:44.000000,2020-04-04 19:26:37.000000,25,6.0,5.0,197.0,127.0,\"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..\",2.0,16,False,,,23.0,parfit,,,,['sklearn'],8.0,8.0,https://pypi.org/project/parfit,2018-10-11 22:03:16.000000,,14785.0,14785.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n812,skggm,skggm/skggm,,sklearn-utils,https://github.com/skggm/skggm,https://github.com/skggm/skggm,MIT,2016-06-11 18:35:56.000000,2020-12-24 08:36:00.000000,2020-12-24 05:43:15.000000,31,28.0,47.0,183.0,691.0,Scikit-learn compatible estimation of general graphical models.,5.0,16,False,2018-09-12 01:12:49.000000,0.2.8,6.0,skggm,,,,['sklearn'],8.0,6.0,https://pypi.org/project/skggm,2018-09-12 01:12:49.000000,2.0,93.0,93.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n813,dstack,dstackai/dstack,,others,https://github.com/dstackai/dstack,https://github.com/dstackai/dstack,Apache-2.0,2020-06-22 09:03:03.000000,2021-03-23 15:50:23.000000,2021-03-23 15:50:02.000000,11,21.0,122.0,183.0,639.0,An open-source tool to rapidly develop data applications with Python.,4.0,16,False,2021-03-04 19:20:57.000000,0.6.4,22.0,dstack,,,,,,,https://pypi.org/project/dstack,2021-03-23 15:46:40.000000,,176.0,176.0,,,,,,,,3.0,,,,,,,,,,,,,,,True,,,,,,,\n814,nx-altair,Zsailer/nx_altair,,data-viz,https://github.com/Zsailer/nx_altair,https://github.com/Zsailer/nx_altair,MIT,2018-05-13 00:10:12.000000,2020-09-30 12:01:08.000000,2020-06-02 21:10:26.000000,21,6.0,4.0,165.0,51.0,Draw interactive NetworkX graphs with Altair.,3.0,16,False,2020-06-02 21:11:12.000000,0.1.6,8.0,nx-altair,,,,['jupyter'],4.0,,https://pypi.org/project/nx-altair,2020-06-02 21:11:12.000000,4.0,404.0,404.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n815,ipyexperiments,stas00/ipyexperiments,,gpu-utilities,https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40.000000,2021-03-28 18:24:12.000000,2021-03-28 18:23:45.000000,9,,4.0,134.0,196.0,jupyter/ipython experiment containers for GPU and general RAM re-use.,3.0,16,False,2021-03-28 03:39:09.000000,0.1.26,23.0,ipyexperiments,,,,['jupyter'],7.0,5.0,https://pypi.org/project/ipyexperiments,2021-03-28 03:39:09.000000,2.0,261.0,261.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n816,steppy,minerva-ml/steppy,,ml-experiments,https://github.com/minerva-ml/steppy,https://github.com/minerva-ml/steppy,MIT,2018-01-15 09:40:49.000000,2018-11-23 09:49:59.000000,2018-11-23 09:47:34.000000,31,16.0,50.0,127.0,69.0,\"Lightweight, Python library for fast and reproducible experimentation.\",5.0,16,False,2018-11-23 09:49:59.000000,0.1.16,16.0,steppy,,,,,44.0,39.0,https://pypi.org/project/steppy,2018-11-23 09:49:59.000000,5.0,129.0,129.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n817,celer,mathurinm/celer,,sklearn-utils,https://github.com/mathurinm/celer,https://github.com/mathurinm/celer,BSD-3-Clause,2018-02-20 19:37:31.000000,2021-04-16 13:53:18.000000,2021-04-16 13:43:48.000000,21,16.0,52.0,117.0,218.0,\"Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.\",9.0,16,False,2020-10-12 12:26:09.000000,0.5.1,10.0,celer,,,,['sklearn'],4.0,4.0,https://pypi.org/project/celer,2020-12-09 13:19:10.000000,,190.0,190.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n818,OpenNRE,thunlp/OpenNRE,,nlp,https://github.com/thunlp/OpenNRE,https://github.com/thunlp/OpenNRE,MIT,2017-02-26 07:37:12.000000,2021-06-21 10:38:53.000000,2021-05-31 02:53:22.000000,864,21.0,313.0,3177.0,158.0,An Open-Source Package for Neural Relation Extraction (NRE).,9.0,15,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n819,Torch-Struct,harvardnlp/pytorch-struct,,pytorch-utils,https://github.com/harvardnlp/pytorch-struct,https://github.com/harvardnlp/pytorch-struct,MIT,2019-08-26 19:34:30.000000,2021-05-09 17:27:03.000000,2021-05-09 17:25:02.000000,71,18.0,25.0,948.0,262.0,\"Fast, general, and tested differentiable structured prediction in PyTorch.\",13.0,15,True,2021-02-15 20:20:59.000000,0.5,2.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n820,ecco,jalammar/ecco,,interpretability,https://github.com/jalammar/ecco,https://github.com/jalammar/ecco,BSD-3-Clause,2020-11-07 10:06:34.000000,2021-06-04 08:16:23.000000,2021-02-25 11:02:31.000000,50,10.0,9.0,806.0,,Visualize and explore NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks..,2.0,15,True,2021-02-25 09:54:16.000000,0.0.14,14.0,ecco,,,,['pytorch'],2.0,2.0,https://pypi.org/project/ecco,2021-02-08 05:55:57.000000,,211.0,211.0,,,,,,,,3.0,,,,,,,,,,,,,,,True,,,,,,,\n821,torchsde,google-research/torchsde,,pytorch-utils,https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11.000000,2021-06-20 08:35:25.000000,2021-06-20 02:39:03.000000,75,7.0,31.0,766.0,153.0,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,4.0,15,True,2021-01-05 18:31:38.000000,0.2.4,4.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n822,MedicalTorch,perone/medicaltorch,,medical-data,https://github.com/perone/medicaltorch,https://github.com/perone/medicaltorch,Apache-2.0,2018-02-27 02:50:07.000000,2021-04-16 18:50:54.000000,2021-04-16 18:50:54.000000,109,14.0,9.0,737.0,57.0,A medical imaging framework for Pytorch.,8.0,15,True,2018-11-24 00:33:11.000000,0.2,2.0,medicaltorch,,,,['pytorch'],10.0,10.0,https://pypi.org/project/medicaltorch,2018-11-24 00:29:36.000000,,108.0,108.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n823,Translate,pytorch/translate,,nlp,https://github.com/pytorch/translate,https://github.com/pytorch/translate,BSD-3-Clause,2018-04-24 16:44:04.000000,2021-06-30 10:47:11.000000,2021-05-05 05:16:56.000000,167,66.0,27.0,700.0,807.0,Translate - a PyTorch Language Library.,86.0,15,True,,,1.0,pytorch-translate,,,,['pytorch'],,,https://pypi.org/project/pytorch-translate,2018-05-01 19:59:40.000000,,7.0,7.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n824,madgrad,facebookresearch/madgrad,,pytorch-utils,https://github.com/facebookresearch/madgrad,https://github.com/facebookresearch/madgrad,MIT,2021-01-12 19:41:06.000000,2021-04-01 13:54:29.000000,2021-04-01 13:46:36.000000,48,2.0,7.0,693.0,12.0,MADGRAD Optimization Method.,1.0,15,True,,,2.0,madgrad,,,,['pytorch'],11.0,11.0,https://pypi.org/project/madgrad,2021-04-01 13:54:29.000000,,2395.0,2395.0,,,,,,,,3.0,,,,,,,,,,,,,,,True,,,,,,,\n825,HyperparameterHunter,HunterMcGushion/hyperparameter_hunter,,hyperopt,https://github.com/HunterMcGushion/hyperparameter_hunter,https://github.com/HunterMcGushion/hyperparameter_hunter,MIT,2018-06-01 23:17:00.000000,2021-01-20 03:52:41.000000,2021-01-20 03:52:40.000000,83,37.0,84.0,657.0,1096.0,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries.,4.0,15,True,2019-08-06 09:09:45.000000,3.0.0,16.0,hyperparameter-hunter,,,,,2.0,,https://pypi.org/project/hyperparameter-hunter,2019-08-06 08:52:20.000000,2.0,135.0,143.0,,,,,,,,3.0,290.0,,,,,,,,,,,,,,,,,,,,,\n826,ThunderGBM,Xtra-Computing/thundergbm,,ml-frameworks,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08.000000,2021-04-01 02:08:51.000000,2021-01-05 04:22:15.000000,78,22.0,28.0,600.0,606.0,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,10.0,15,True,2020-05-01 23:16:25.000000,0.3.16,24.0,thundergbm,,,,,,,https://pypi.org/project/thundergbm,2020-05-01 23:16:25.000000,,76.0,76.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n827,tfdeploy,riga/tfdeploy,,model-serialisation,https://github.com/riga/tfdeploy,https://github.com/riga/tfdeploy,BSD-3-Clause,2016-03-07 13:08:21.000000,2021-01-08 09:52:54.000000,2021-01-08 09:52:49.000000,38,10.0,23.0,346.0,170.0,Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.,4.0,15,True,2017-03-30 10:51:26.000000,0.4.2,22.0,tfdeploy,,,,['tensorflow'],2.0,,https://pypi.org/project/tfdeploy,2017-03-30 10:51:26.000000,2.0,67.0,67.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n828,LOFO,aerdem4/lofo-importance,,interpretability,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46.000000,2021-01-27 13:57:42.000000,2020-07-02 11:49:52.000000,41,2.0,10.0,331.0,24.0,Leave One Feature Out Importance.,3.0,15,True,2020-07-02 11:44:57.000000,0.2.6,9.0,lofo-importance,,,,,4.0,4.0,https://pypi.org/project/lofo-importance,2020-07-02 11:44:57.000000,,131.0,131.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n829,TransferNLP,feedly/transfer-nlp,,nlp,https://github.com/feedly/transfer-nlp,https://github.com/feedly/transfer-nlp,MIT,2019-03-12 20:00:31.000000,2020-05-28 19:00:02.000000,2020-05-28 17:31:53.000000,18,4.0,20.0,287.0,465.0,NLP library designed for reproducible experimentation management.,7.0,15,False,2020-05-28 19:00:02.000000,0.1.6,8.0,transfer-nlp,,,,['pytorch'],,,https://pypi.org/project/transfer-nlp,2020-05-28 19:00:02.000000,,164.0,164.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n830,data-describe,data-describe/data-describe,,data-viz,https://github.com/data-describe/data-describe,https://github.com/data-describe/data-describe,Apache-2.0,2020-05-04 17:58:14.000000,2021-05-12 05:30:22.000000,2021-03-02 19:30:45.000000,15,69.0,175.0,284.0,695.0,datadescribe: Pythonic EDA Accelerator for Data Science.,14.0,15,False,,,5.0,data-describe,,,,,,,https://pypi.org/project/data-describe,2020-12-03 23:07:43.000000,,199.0,199.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n831,interpret-text,interpretml/interpret-text,,interpretability,https://github.com/interpretml/interpret-text,https://github.com/interpretml/interpret-text,MIT,2019-09-04 16:39:48.000000,2021-06-17 01:09:14.000000,2021-03-02 02:33:00.000000,48,29.0,16.0,257.0,143.0,A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the..,17.0,15,False,2020-05-20 23:42:32.000000,0.1.2,3.0,interpret-text,,,,['jupyter'],,,https://pypi.org/project/interpret-text,2020-05-20 23:42:32.000000,,116.0,116.0,,,,,,,,3.0,,,,,,,,,,,,,,,True,,,,,,,\n832,NeuralQA,victordibia/neuralqa,,nlp,https://github.com/victordibia/neuralqa,https://github.com/victordibia/neuralqa,MIT,2020-05-19 03:55:56.000000,2021-06-08 12:29:19.000000,2020-12-16 17:41:37.000000,30,31.0,8.0,199.0,312.0,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,3.0,15,False,,,27.0,neuralqa,,,,,2.0,2.0,https://pypi.org/project/neuralqa,2020-09-18 17:54:50.000000,,121.0,121.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n833,launchpad,deepmind/launchpad,,distributed-ml,https://github.com/deepmind/launchpad,https://github.com/deepmind/launchpad,Apache-2.0,2021-02-18 15:16:49.000000,2021-07-01 10:17:43.000000,2021-07-01 10:17:11.000000,10,2.0,9.0,191.0,104.0,Launchpad is a library that simplifies writing distributed programs and seamlessly launching them on a range of..,9.0,15,False,2021-05-19 06:05:12.000000,0.3.0,3.0,dm-launchpad,,,,['tensorflow'],,,https://pypi.org/project/dm-launchpad,2021-05-19 06:05:12.000000,,191.0,191.0,,,,,,,,3.0,,,,,,,,,,,,,,,True,,,,,,,\n834,backprop,backprop-ai/backprop,,model-serialisation,https://github.com/backprop-ai/backprop,https://github.com/backprop-ai/backprop,Apache-2.0,2020-10-30 15:25:14.000000,2021-05-03 09:15:25.000000,2021-05-03 09:15:21.000000,8,,4.0,191.0,,\"Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.\",8.0,15,False,2021-04-20 13:53:12.000000,0.1.2,14.0,backprop,,,,,,,https://pypi.org/project/backprop,2021-04-20 13:53:12.000000,,211.0,211.0,,,,,,,,3.0,,,,,,,,,,,,,,,True,,,,,,,\n835,textvec,textvec/textvec,,nlp,https://github.com/textvec/textvec,https://github.com/textvec/textvec,MIT,2018-04-12 14:03:53.000000,2020-12-03 14:23:11.000000,2020-12-03 14:23:04.000000,21,2.0,6.0,173.0,70.0,Text vectorization tool to outperform TFIDF for classification tasks.,4.0,15,False,2019-09-12 07:41:04.000000,2.0,4.0,textvec,,,,['sklearn'],4.0,4.0,https://pypi.org/project/textvec,2020-12-03 14:17:09.000000,,155.0,155.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n836,ONNX-T5,abelriboulot/onnxt5,,nlp,https://github.com/abelriboulot/onnxt5,https://github.com/abelriboulot/onnxt5,Apache-2.0,2020-08-01 09:38:35.000000,2021-01-28 09:26:15.000000,2021-01-28 09:24:52.000000,21,6.0,7.0,169.0,74.0,\"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..\",3.0,15,False,2021-01-28 09:26:15.000000,0.1.8,11.0,onnxt5,,,,,,,https://pypi.org/project/onnxt5,2021-01-28 09:26:15.000000,,189.0,189.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n837,TorchDrift,torchdrift/torchdrift,,pytorch-utils,https://github.com/TorchDrift/TorchDrift,https://github.com/TorchDrift/TorchDrift,Apache-2.0,2021-02-10 09:27:48.000000,2021-06-29 11:52:29.000000,2021-06-29 11:52:29.000000,4,1.0,3.0,154.0,33.0,Drift Detection for your PyTorch Models.,2.0,15,False,2021-03-08 12:21:48.000000,0.1.0,3.0,torchdrift,,,,['pytorch'],8.0,8.0,https://pypi.org/project/torchdrift,2021-03-08 12:51:05.000000,,200.0,200.0,,,,,,,,3.0,,,,,,,,,,,,,,,True,,,,,,,\n838,Euler,alibaba/euler,,graph,https://github.com/alibaba/euler,https://github.com/alibaba/euler,Apache-2.0,2019-01-10 06:32:32.000000,2021-04-19 11:30:28.000000,2020-07-29 05:53:01.000000,516,210.0,101.0,2603.0,8.0,A distributed graph deep learning framework.,5.0,14,True,2020-07-07 02:24:18.000000,2.0.0,2.0,euler-gl,,,,['tensorflow'],,,https://pypi.org/project/euler-gl,2019-04-10 01:53:45.000000,,18.0,18.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n839,GraphSAGE,williamleif/GraphSAGE,,graph,https://github.com/williamleif/GraphSAGE,https://github.com/williamleif/GraphSAGE,MIT,2017-05-29 15:36:22.000000,2021-05-21 14:52:52.000000,2018-09-19 19:27:00.000000,662,85.0,58.0,2378.0,59.0,Representation learning on large graphs using stochastic graph convolutions.,9.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n840,GraphEmbedding,shenweichen/GraphEmbedding,,graph,https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20.000000,2021-04-06 17:36:59.000000,2020-10-18 09:32:47.000000,630,35.0,14.0,2086.0,28.0,Implementation and experiments of graph embedding algorithms.,8.0,14,True,,,,,,,,['sklearn'],9.0,9.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n841,ZhuSuan,thu-ml/zhusuan,,probabilistics,https://github.com/thu-ml/zhusuan,https://github.com/thu-ml/zhusuan,MIT,2016-07-18 13:31:38.000000,2020-01-09 14:51:27.000000,2019-08-05 10:00:04.000000,392,8.0,53.0,2056.0,439.0,\"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.\",20.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n842,micrograd,karpathy/micrograd,,pytorch-utils,https://github.com/karpathy/micrograd,https://github.com/karpathy/micrograd,MIT,2020-04-13 04:31:18.000000,2021-06-24 12:28:13.000000,2020-04-18 19:15:25.000000,134,2.0,3.0,1739.0,24.0,A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.,2.0,14,False,2020-04-18 19:06:59.000000,0.1.0,1.0,micrograd,,,,['pytorch'],1.0,1.0,https://pypi.org/project/micrograd,2020-04-18 19:06:59.000000,0.0,54.0,54.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n843,Anchor,marcotcr/anchor,,interpretability,https://github.com/marcotcr/anchor,https://github.com/marcotcr/anchor,BSD-2-Clause,2018-02-02 23:38:50.000000,2021-04-19 22:37:30.000000,2021-04-19 22:37:22.000000,89,16.0,46.0,650.0,42.0,Code for High-Precision Model-Agnostic Explanations paper.,8.0,14,True,,,8.0,anchor_exp,,,,,,,https://pypi.org/project/anchor_exp,2020-06-26 20:56:50.000000,,645.0,645.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n844,AutoGL,THUMNLab/AutoGL,,graph,https://github.com/THUMNLab/AutoGL,https://github.com/THUMNLab/AutoGL,MIT,2020-11-30 14:26:22.000000,2021-06-30 12:00:20.000000,2021-04-10 10:49:50.000000,69,5.0,7.0,649.0,,An autoML framework & toolkit for machine learning on graphs.,5.0,14,True,2020-12-23 08:15:15.000000,0.1.1,2.0,auto-graph-learning,,,,['pytorch'],,,https://pypi.org/project/auto-graph-learning,2020-12-23 08:05:25.000000,,83.0,83.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n845,cuSignal,rapidsai/cusignal,,gpu-utilities,https://github.com/rapidsai/cusignal,https://github.com/rapidsai/cusignal,Apache-2.0,2019-08-22 14:27:27.000000,2021-06-30 10:05:34.000000,2021-06-24 20:32:10.000000,65,15.0,103.0,503.0,,GPU accelerated signal processing.,31.0,14,True,2021-06-09 16:42:33.000000,21.06.00,7.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n846,PandaPy,firmai/pandapy,,data-containers,https://github.com/firmai/pandapy,https://github.com/firmai/pandapy,MIT,2020-01-15 18:21:23.000000,2021-06-06 06:59:37.000000,2020-11-12 16:18:44.000000,49,2.0,1.0,478.0,83.0,PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai).,3.0,14,True,2020-11-12 16:12:54.000000,zen,22.0,pandapy,,,,['pandas'],1.0,1.0,https://pypi.org/project/pandapy,2020-01-25 23:10:32.000000,,52.0,52.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n847,textflint,textflint/textflint,,adversarial,https://github.com/textflint/textflint,https://github.com/textflint/textflint,GPL-3.0,2021-03-06 11:15:52.000000,2021-06-22 12:21:32.000000,2021-06-22 10:17:47.000000,68,1.0,14.0,466.0,145.0,Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing.,11.0,14,False,2021-04-21 06:40:06.000000,0.0.3,3.0,textflint,,,,,1.0,1.0,https://pypi.org/project/textflint,2021-04-21 06:40:06.000000,,98.0,98.0,,,,,,,,3.0,,,,,,,,,,,,,,,True,,,,,,,\n848,Adversary,airbnb/artificial-adversary,,adversarial,https://github.com/airbnb/artificial-adversary,https://github.com/airbnb/artificial-adversary,MIT,2018-08-08 04:42:11.000000,2018-10-14 05:34:44.000000,2018-08-29 15:31:30.000000,51,6.0,,352.0,15.0,Tool to generate adversarial text examples and test machine learning models against them.,5.0,14,False,2018-08-29 15:14:41.000000,1.1.1,3.0,Adversary,,,,,6.0,6.0,https://pypi.org/project/Adversary,2018-08-29 15:14:41.000000,0.0,86.0,86.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n849,pykale,pykale/pykale,,others,https://github.com/pykale/pykale,https://github.com/pykale/pykale,MIT,2020-06-30 08:06:10.000000,2021-07-01 09:30:16.000000,2021-06-21 09:22:07.000000,18,8.0,20.0,214.0,,Knowledge-Aware machine LEarning (KALE) from multiple sources in Python.,12.0,14,False,2021-06-21 08:53:21.000000,0.1.0rc2,6.0,pykale,,,,['pytorch'],,,https://pypi.org/project/pykale,2021-06-21 08:54:23.000000,,151.0,151.0,,,,,,,,3.0,,,,,,,,,,,,,,,True,,,,,,,\n850,tsaug,arundo/tsaug,,time-series-data,https://github.com/arundo/tsaug,https://github.com/arundo/tsaug,Apache-2.0,2019-09-27 00:38:05.000000,2020-04-17 02:55:58.000000,2020-04-17 02:46:38.000000,19,6.0,3.0,199.0,10.0,A Python package for time series augmentation.,4.0,14,False,2020-04-17 02:50:25.000000,0.2.1,4.0,tsaug,,,,,,,https://pypi.org/project/tsaug,2020-04-17 02:50:25.000000,,1609.0,1609.0,,,,,,,,3.0,,,,,,,,,,,,,,,True,,,,,,,\n851,Auptimizer,LGE-ARC-AdvancedAI/auptimizer,,hyperopt,https://github.com/LGE-ARC-AdvancedAI/auptimizer,https://github.com/LGE-ARC-AdvancedAI/auptimizer,GPL-3.0,2019-09-12 01:08:37.000000,2021-05-21 14:45:19.000000,2021-03-03 01:30:06.000000,21,1.0,5.0,170.0,79.0,An automatic ML model optimization tool.,11.0,14,False,2021-03-03 02:00:23.000000,2.0,7.0,auptimizer,,,,,,,https://pypi.org/project/auptimizer,2021-03-02 02:40:32.000000,,127.0,127.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n852,ModelChimp,ModelChimp/modelchimp,,ml-experiments,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03.000000,2021-07-01 14:35:41.000000,2021-02-15 13:37:13.000000,12,4.0,10.0,121.0,361.0,Experiment tracking for machine and deep learning projects.,3.0,14,False,2019-04-09 10:43:15.000000,0.4.0,37.0,modelchimp,,modelchimp/modelchimp-server,,,,,https://pypi.org/project/modelchimp,2019-04-09 10:41:20.000000,,102.0,121.0,,,,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,638.0,3.0,,,,,,,,,,,,,,,,,,,,,,\n853,DeepNeuro,QTIM-Lab/DeepNeuro,,medical-data,https://github.com/QTIM-Lab/DeepNeuro,https://github.com/QTIM-Lab/DeepNeuro,MIT,2017-06-01 19:36:34.000000,2020-06-24 13:00:15.000000,2020-06-24 13:00:14.000000,32,27.0,16.0,104.0,285.0,A deep learning python package for neuroimaging data. Made by:.,6.0,14,False,2019-06-10 21:04:04.000000,0.2.3,6.0,deepneuro,,,,,1.0,1.0,https://pypi.org/project/deepneuro,2019-06-10 21:04:04.000000,,60.0,60.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n854,Hypermax,electricbrainio/hypermax,,hyperopt,https://github.com/electricbrainio/hypermax,https://github.com/electricbrainio/hypermax,BSD-3-Clause,2018-07-27 18:43:01.000000,2020-08-02 18:08:50.000000,2020-08-02 18:08:46.000000,14,3.0,1.0,96.0,207.0,\"Better, faster hyper-parameter optimization.\",9.0,14,False,2019-10-23 15:40:12.000000,0.5.1,11.0,hypermax,,,,,4.0,4.0,https://pypi.org/project/hypermax,2019-10-23 15:40:12.000000,,53.0,53.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n855,contextual-ai,SAP/contextual-ai,,interpretability,https://github.com/SAP/contextual-ai,https://github.com/SAP/contextual-ai,Apache-2.0,2020-05-12 07:15:56.000000,2021-03-25 23:48:34.000000,2021-01-25 04:03:23.000000,9,5.0,1.0,69.0,621.0,\"Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference -..\",10.0,14,False,2021-01-25 04:56:57.000000,0.0.2,2.0,contextual-ai,,,,,,,https://pypi.org/project/contextual-ai,2021-01-25 04:56:57.000000,,239.0,239.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n856,StarSpace,facebookresearch/StarSpace,,ml-frameworks,https://github.com/facebookresearch/StarSpace,https://github.com/facebookresearch/StarSpace,MIT,2017-06-28 17:50:18.000000,2021-04-23 05:17:29.000000,2019-12-13 19:03:25.000000,494,50.0,147.0,3626.0,138.0,\"Learning embeddings for classification, retrieval and ranking.\",17.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n857,OpenKE,thunlp/OpenKE,,graph,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,MIT,2017-10-08 11:20:23.000000,2021-04-06 08:24:33.000000,2021-04-06 08:24:50.000000,796,64.0,231.0,2610.0,97.0,An Open-Source Package for Knowledge Embedding (KE).,10.0,13,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n858,ENAS,carpedm20/ENAS-pytorch,,hyperopt,https://github.com/carpedm20/ENAS-pytorch,https://github.com/carpedm20/ENAS-pytorch,Apache-2.0,2018-02-15 04:54:37.000000,2020-12-09 18:13:03.000000,2020-06-16 07:23:32.000000,451,37.0,7.0,2447.0,53.0,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,6.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n859,OpenNE,thunlp/OpenNE,,graph,https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20.000000,2021-03-22 13:16:57.000000,2019-08-12 10:56:27.000000,453,50.0,82.0,1473.0,98.0,An Open-Source Package for Network Embedding (NE).,10.0,13,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n860,Medical Detection Toolkit,MIC-DKFZ/medicaldetectiontoolkit,,medical-data,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,Apache-2.0,2018-10-12 12:34:57.000000,2021-06-08 20:55:07.000000,2021-05-31 17:04:14.000000,250,34.0,85.0,992.0,38.0,\"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..\",3.0,13,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n861,deltapy,firmai/deltapy,,tabular,https://github.com/firmai/deltapy,https://github.com/firmai/deltapy,MIT,2020-04-08 05:27:53.000000,2021-01-21 16:27:58.000000,2021-01-21 16:27:57.000000,32,2.0,,356.0,37.0,DeltaPy - Tabular Data Augmentation (by @firmai).,4.0,13,True,2020-11-12 16:13:21.000000,zen,11.0,deltapy,,,,,2.0,2.0,https://pypi.org/project/deltapy,2020-04-09 01:48:32.000000,,57.0,57.0,,,,,,,,3.0,,,,,,,,,,,,,,,True,,,,,,,\n862,numerizer,jaidevd/numerizer,,nlp,https://github.com/jaidevd/numerizer,https://github.com/jaidevd/numerizer,MIT,2019-12-02 07:00:34.000000,2021-04-04 05:05:33.000000,2021-04-03 04:27:49.000000,7,1.0,4.0,113.0,17.0,A Python module to convert natural language numerics into ints and floats.,2.0,13,False,2021-04-03 04:33:45.000000,0.2.0,8.0,numerizer,,,,,7.0,7.0,https://pypi.org/project/numerizer,2021-04-03 04:33:45.000000,,207.0,207.0,,,,,,,,3.0,,,,,,,,,,,,,,,True,,,,,,,\n863,Attribution Priors,suinleelab/attributionpriors,,interpretability,https://github.com/suinleelab/attributionpriors,https://github.com/suinleelab/attributionpriors,MIT,2019-06-24 23:54:24.000000,2021-03-19 19:43:58.000000,2021-03-19 19:43:51.000000,7,1.0,3.0,83.0,72.0,Tools for training explainable models using attribution priors.,6.0,13,False,2021-03-16 17:47:18.000000,1.0.0,4.0,attributionpriors,,,,\"['tensorflow', 'pytorch']\",2.0,2.0,https://pypi.org/project/attributionpriors,2019-10-31 18:03:05.000000,,55.0,55.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n864,featurewiz,AutoViML/featurewiz,,hyperopt,https://github.com/AutoViML/featurewiz,https://github.com/AutoViML/featurewiz,Apache-2.0,2020-11-29 16:46:16.000000,2021-06-29 03:45:18.000000,2021-06-29 03:44:20.000000,18,2.0,1.0,66.0,,Use advanced feature engineering strategies and select the best features from your data set fast with a single line of..,2.0,13,False,2021-06-29 03:45:18.000000,0.0.38,38.0,featurewiz,,,,,,,https://pypi.org/project/featurewiz,2021-06-29 03:45:18.000000,,942.0,942.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n865,nylon,Palashio/nylon,,others,https://github.com/Palashio/nylon,https://github.com/Palashio/nylon,MIT,2021-06-04 17:33:49.000000,2021-06-29 15:05:17.000000,2021-06-29 15:05:17.000000,6,14.0,16.0,59.0,,\"An intelligent, flexible grammar of machine learning.\",3.0,13,False,2021-06-25 14:27:32.000000,0.0.7,8.0,nylon-ai,,,,,,,https://pypi.org/project/nylon-ai,2021-06-25 14:27:32.000000,,365.0,365.0,,,,,,,,3.0,,,,,,,,,,,,,,,True,,,,,,,\n866,nptsne,biovault/nptsne,,data-viz,https://github.com/biovault/nptsne,https://github.com/biovault/nptsne,Apache-2.0,2019-06-28 08:40:25.000000,2021-06-30 15:55:11.000000,2021-02-03 08:52:27.000000,2,6.0,5.0,25.0,857.0,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,3.0,13,False,2020-09-10 23:54:14.000000,1.1.0,2.0,nptsne,,,,,2.0,2.0,https://pypi.org/project/nptsne,2020-09-10 23:54:14.000000,,105.0,105.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n867,surpriver,tradytics/surpriver,,financial-data,https://github.com/tradytics/surpriver,https://github.com/tradytics/surpriver,GPL-3.0,2020-08-30 07:56:22.000000,2020-11-13 00:48:16.000000,2020-09-21 04:32:05.000000,230,10.0,5.0,1243.0,64.0,Find big moving stocks before they move using machine learning and anomaly detection.,6.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n868,MedicalNet,Tencent/MedicalNet,,medical-data,https://github.com/Tencent/MedicalNet,https://github.com/Tencent/MedicalNet,MIT,2019-07-17 09:53:10.000000,2020-08-27 13:37:27.000000,2020-08-27 13:37:26.000000,318,47.0,14.0,1143.0,26.0,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,1.0,12,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n869,GraphVite,DeepGraphLearning/graphvite,,graph,https://github.com/DeepGraphLearning/graphvite,https://github.com/DeepGraphLearning/graphvite,Apache-2.0,2019-07-16 15:48:20.000000,2021-01-14 02:19:03.000000,2021-01-14 02:18:46.000000,122,30.0,55.0,913.0,15.0,GraphVite: A General and High-performance Graph Embedding System.,1.0,12,True,,,4.0,,milagraph/graphvite,,,,,,,,,,165.0,https://anaconda.org/milagraph/graphvite,2020-03-19 18:21:30.972000,3800.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n870,BLINK,facebookresearch/BLINK,,nlp,https://github.com/facebookresearch/BLINK,https://github.com/facebookresearch/BLINK,MIT,2019-09-25 21:27:44.000000,2021-04-02 03:03:43.000000,2021-04-02 03:03:34.000000,105,33.0,28.0,656.0,211.0,Entity Linker solution.,16.0,12,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,True,,,,,,,\n871,fastT5,Ki6an/fastT5,,nlp,https://github.com/Ki6an/fastT5,https://github.com/Ki6an/fastT5,Apache-2.0,2021-03-11 08:46:42.000000,2021-04-09 16:14:11.000000,2021-04-09 16:09:22.000000,17,9.0,9.0,171.0,6.0,boost inference speed of T5 models by 5x & reduce the model size by 3x.,1.0,12,False,2021-04-09 16:14:11.000000,0.0.5,5.0,fastt5,,,,,1.0,1.0,https://pypi.org/project/fastt5,2021-04-09 16:14:11.000000,,761.0,761.0,,,,,,,,3.0,,,,,,,,,,,,,,,True,,,,,,,\n872,autodist,petuum/autodist,,distributed-ml,https://github.com/petuum/autodist,https://github.com/petuum/autodist,Apache-2.0,2020-06-29 19:45:38.000000,2021-04-12 21:55:36.000000,2021-01-28 00:04:40.000000,20,11.0,1.0,99.0,208.0,Simple Distributed Deep Learning on TensorFlow.,11.0,12,False,,,2.0,autodist,,,,['tensorflow'],,,https://pypi.org/project/autodist,2020-07-16 05:36:19.000000,,39.0,39.0,,,,,,,,3.0,,,,,,,,,,,,,,,True,,,,,,,\n873,LazyCluster,ml-tooling/lazycluster,,distributed-ml,https://github.com/ml-tooling/lazycluster,https://github.com/ml-tooling/lazycluster,Apache-2.0,2019-08-07 08:05:13.000000,2021-06-02 03:43:21.000000,2020-12-14 15:24:53.000000,6,,,40.0,,Distributed machine learning made simple.,2.0,12,False,2020-12-14 15:25:59.000000,0.2.4,5.0,lazycluster,,,,,6.0,6.0,https://pypi.org/project/lazycluster,2020-12-14 14:49:33.000000,,94.0,94.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n874,bias-detector,intuit/bias-detector,,interpretability,https://github.com/intuit/bias-detector,https://github.com/intuit/bias-detector,MIT,2021-02-02 16:58:52.000000,2021-06-01 09:13:29.000000,2021-06-01 09:12:00.000000,7,,,34.0,,Bias Detector is a python package for detecting bias in machine learning models.,4.0,12,False,2021-04-22 15:20:54.000000,0.0.12,11.0,bias-detector,,,,,,,https://pypi.org/project/bias-detector,2021-04-22 15:20:54.000000,,130.0,130.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n875,spacy-dbpedia-spotlight,MartinoMensio/spacy-dbpedia-spotlight,,nlp,https://github.com/MartinoMensio/spacy-dbpedia-spotlight,https://github.com/MartinoMensio/spacy-dbpedia-spotlight,MIT,2020-04-29 19:35:04.000000,2021-04-12 13:38:53.000000,2021-04-12 13:38:47.000000,4,5.0,,34.0,13.0,A spaCy wrapper for DBpedia Spotlight.,1.0,12,False,2021-04-12 13:25:07.000000,0.2.1,6.0,spacy-dbpedia-spotlight,,,,['spacy'],,,https://pypi.org/project/spacy-dbpedia-spotlight,2021-04-09 13:21:45.000000,,253.0,253.0,,,,,,,,3.0,,,,,,,,,,,,,,,True,,,,,,,\n876,model_search,google/model_search,,hyperopt,https://github.com/google/model_search,https://github.com/google/model_search,Apache-2.0,2021-01-19 18:26:34.000000,2021-03-28 10:43:16.000000,2021-03-17 17:06:04.000000,294,33.0,13.0,3089.0,8.0,AutoML algorithms for model architecture search at scale.,1.0,11,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,True,,,,,,,\n877,traingenerator,jrieke/traingenerator,,others,https://github.com/jrieke/traingenerator,https://github.com/jrieke/traingenerator,MIT,2020-12-03 16:47:16.000000,2021-06-28 17:42:41.000000,2021-04-29 13:46:13.000000,135,9.0,3.0,1032.0,,A web app to generate template code for machine learning.,3.0,11,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n878,Devol,joeddav/devol,,hyperopt,https://github.com/joeddav/devol,https://github.com/joeddav/devol,MIT,2017-02-10 03:07:54.000000,2020-07-05 21:56:59.000000,2020-07-05 21:56:58.000000,109,7.0,20.0,932.0,116.0,Genetic neural architecture search with Keras.,18.0,11,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n879,PySparNN,facebookresearch/pysparnn,,nn-search,https://github.com/facebookresearch/pysparnn,https://github.com/facebookresearch/pysparnn,BSD-3-Clause,2016-03-28 20:43:42.000000,2020-10-02 06:01:01.000000,2018-01-31 16:50:23.000000,142,15.0,14.0,878.0,147.0,Approximate Nearest Neighbor Search for Sparse Data in Python!.,5.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n880,Mozart,aashrafh/Mozart,,ocr,https://github.com/aashrafh/Mozart,https://github.com/aashrafh/Mozart,Apache-2.0,2020-12-14 11:49:14.000000,2021-05-05 17:21:44.000000,2021-05-05 17:21:44.000000,40,1.0,2.0,272.0,,An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.,5.0,11,False,,,,,,,,['sklearn'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n881,Maze,enlite-ai/maze,,reinforcement-learning,https://github.com/enlite-ai/maze,https://github.com/enlite-ai/maze,Custom,2021-02-11 08:26:37.000000,2021-07-01 14:23:15.000000,2021-06-24 20:06:29.000000,2,,1.0,137.0,,Maze Applied Reinforcement Learning Framework.,3.0,11,False,2021-06-24 20:08:22.000000,0.1.7,18.0,maze-rl,,enliteai/maze,,['pytorch'],1.0,1.0,https://pypi.org/project/maze-rl,2021-06-24 20:28:17.000000,,170.0,213.0,,,,https://hub.docker.com/r/enliteai/maze,2021-06-24 21:00:27.801118,,218.0,3.0,,,,,,,,,,,,,,,True,,,,,,,\n882,Hypertunity,gdikov/hypertunity,,hyperopt,https://github.com/gdikov/hypertunity,https://github.com/gdikov/hypertunity,Apache-2.0,2019-06-02 12:04:55.000000,2020-01-26 23:14:49.000000,2020-01-26 22:53:29.000000,9,,2.0,121.0,64.0,A toolset for black-box hyperparameter optimisation.,2.0,11,False,2020-01-26 23:08:16.000000,1.0.1,7.0,hypertunity,,,,,2.0,2.0,https://pypi.org/project/hypertunity,2020-01-26 23:08:16.000000,,38.0,38.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n883,traintool,jrieke/traintool,,ml-experiments,https://github.com/jrieke/traintool,https://github.com/jrieke/traintool,Apache-2.0,2020-09-30 22:23:05.000000,2021-03-12 01:44:04.000000,2021-03-12 01:43:14.000000,1,,,9.0,122.0,Train off-the-shelf machine learning models in one line of code.,,10,False,2020-11-02 02:25:32.000000,0.0.3,3.0,traintool,,,,\"['pytorch', 'tensorflow', 'sklearn']\",,,https://pypi.org/project/traintool,2020-11-02 02:25:32.000000,,57.0,57.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,\n884,Lea,,,probabilistics,,http://bitbucket.org/piedenis/lea,GPL-3.0,,2020-11-13 19:50:21.000000,,3,,,,,Discrete probability distributions in Python.,,10,False,2020-11-13 19:50:21.000000,3.4.0,50.0,lea,,,,,21.0,,https://pypi.org/project/lea,2020-11-13 19:50:21.000000,21.0,1331.0,1331.0,,,,,,,,3.0,,,,,,,,,,,,,,,True,,,,,,,piedenis/lea\n"
  },
  {
    "path": "history/2021-07-08_changes.md",
    "content": "## 📈 Trending Up\n\n_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._\n\n- <b><a href=\"https://github.com/apache/arrow\">Arrow</a></b> (🥇37 ·  ⭐ 8.1K · 📈) - Apache Arrow is a multi-language toolbox for accelerated data.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/tensorflow/addons\">TF Addons</a></b> (🥇33 ·  ⭐ 1.3K · 📈) - Useful extra functionality for TensorFlow 2.x maintained.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/apache/airflow\">Airflow</a></b> (🥇32 ·  ⭐ 23K · 📈) - Platform to programmatically author, schedule, and monitor.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/google/jax\">jax</a></b> (🥈31 ·  ⭐ 13K · 📈) - Composable transformations of Python+NumPy programs: differentiate,.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/pydata/numexpr\">numexpr</a></b> (🥈31 ·  ⭐ 1.6K · 📈) - Fast numerical array expression evaluator for Python, NumPy,.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/EpistasisLab/tpot\">TPOT</a></b> (🥇29 ·  ⭐ 8.1K · 📈) - A Python Automated Machine Learning tool that optimizes.. <code><a href=\"http://bit.ly/37RvQcA\">❗️LGPL-3.0</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/ResidentMario/missingno\">missingno</a></b> (🥈29 ·  ⭐ 2.8K · 📈) - Missing data visualization module for Python. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/jbesomi/texthero\">Texthero</a></b> (🥉21 ·  ⭐ 2.2K · 📈) - Text preprocessing, representation and visualization from zero to.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/BrikerMan/Kashgari\">Kashgari</a></b> (🥉20 ·  ⭐ 2.1K · 📈) - Kashgari is a production-level NLP Transfer learning.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/shenweichen/GraphEmbedding\">GraphEmbedding</a></b> (🥉16 ·  ⭐ 2.1K · 💤) - Implementation and experiments of graph embedding.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n\n## 📉 Trending Down\n\n_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._\n\n- <b><a href=\"https://github.com/plotly/dash\">dash</a></b> (🥇33 ·  ⭐ 15K · 📉) - Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/fxsjy/jieba\">jieba</a></b> (🥇31 ·  ⭐ 27K · 💀) - Chinese Words Segmentation Utilities. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/pyecharts/pyecharts\">pyecharts</a></b> (🥈30 ·  ⭐ 11K · 📉) - Python Echarts Plotting Library. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/huggingface/tokenizers\">Tokenizers</a></b> (🥈28 ·  ⭐ 4.7K · 📉) - Fast State-of-the-Art Tokenizers optimized for Research and.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/activeloopai/Hub\">Activeloop</a></b> (🥉25 ·  ⭐ 3.3K · 📉) - Fastest dataset optimization and management for machine and.. <code><a href=\"http://bit.ly/3postzC\">MPL-2.0</a></code>\n- <b><a href=\"https://github.com/apple/coremltools\">Core ML Tools</a></b> (🥈24 ·  ⭐ 2.3K · 📉) - Core ML tools contain supporting tools for Core ML model.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/Esri/arcgis-python-api\">ArcGIS API</a></b> (🥉24 ·  ⭐ 1.1K · 📉) - Documentation and samples for ArcGIS API for Python. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/twopirllc/pandas-ta\">pandas-ta</a></b> (🥉23 ·  ⭐ 1.4K · 📉) - Technical Analysis Indicators - Pandas TA is an easy to use.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1S\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/microsoft/recommenders\">Recommenders</a></b> (🥈21 ·  ⭐ 11K · 📉) - Best Practices on Recommendation Systems. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/oegedijk/explainerdashboard\">explainerdashboard</a></b> (🥉21 ·  ⭐ 570 · 📉) - Quickly build Explainable AI dashboards that show the.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n\n"
  },
  {
    "path": "history/2021-07-08_projects.csv",
    "content": ",name,github_id,resource,category,github_url,homepage,license,created_at,updated_at,last_commit_pushed_at,fork_count,open_issue_count,closed_issue_count,star_count,commit_count,description,contributor_count,projectrank,show,latest_stable_release_published_at,latest_stable_release_number,release_count,pypi_id,conda_id,dockerhub_id,docs_url,labels,dependent_project_count,github_dependent_project_count,pypi_url,pypi_latest_release_published_at,pypi_dependent_project_count,pypi_monthly_downloads,monthly_downloads,conda_url,conda_latest_release_published_at,conda_total_downloads,dockerhub_url,dockerhub_latest_release_published_at,dockerhub_stars,dockerhub_pulls,projectrank_placing,github_release_downloads,helm_id,trending,npm_id,npm_url,npm_latest_release_published_at,npm_dependent_project_count,npm_monthly_downloads,conda_dependent_project_count,brew_id,apt_id,yum_id,updated_github_id,snap_id,dnf_id,yay_id,maven_id,maven_url,maven_latest_release_published_at,maven_dependent_project_count,bitbucket_id\n0,ANN Benchmarks,erikbern/ann-benchmarks,True,nn-search,https://github.com/erikbern/ann-benchmarks,https://github.com/erikbern/ann-benchmarks,MIT,2015-05-28 13:21:43.000000,2021-07-08 14:12:03.000000,2021-07-06 14:10:40.000000,382,35.0,65.0,2324.0,1222.0,Benchmarks of approximate nearest neighbor libraries in Python.,58.0,0,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n1,best-of-web-python - Web Scraping,ml-tooling/best-of-web-python,True,web-scraping,https://github.com/ml-tooling/best-of-web-python,https://github.com/ml-tooling/best-of-web-python#web-scraping--crawling,CC-BY-SA-4.0,2021-01-05 13:09:27.000000,2021-07-08 15:20:18.000000,2021-07-05 20:13:31.000000,84,,2.0,1275.0,,Collection of web-scraping and crawling libraries.,6.0,0,True,2021-07-05 20:13:46.000000,2021.07.01,19.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n2,best-of-python - Data Extraction,ml-tooling/best-of-python,True,data-loading,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-loading--extraction,CC-BY-SA-4.0,2021-01-11 19:11:32.000000,2021-07-08 15:09:39.000000,2021-07-05 20:13:58.000000,134,1.0,4.0,1676.0,,Collection of data-loading and -extraction libraries.,5.0,0,True,2021-07-05 20:14:20.000000,2021.07.01,20.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n3,best-of-python - DB Clients,ml-tooling/best-of-python,True,db-clients,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#database-clients,CC-BY-SA-4.0,2021-01-11 19:11:32.000000,2021-07-08 15:09:39.000000,2021-07-05 20:13:58.000000,134,1.0,4.0,1676.0,,Collection of database clients for python.,5.0,0,True,2021-07-05 20:14:20.000000,2021.07.01,20.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n4,Tensorflow,tensorflow/tensorflow,,ml-frameworks,https://github.com/tensorflow/tensorflow,https://github.com/tensorflow/tensorflow,Apache-2.0,2015-11-07 01:19:20.000000,2021-07-08 14:03:09.000000,2021-07-08 14:02:26.000000,84790,3957.0,28702.0,159161.0,113787.0,An Open Source Machine Learning Framework for Everyone.,3731.0,44,True,2021-06-15 21:29:30.000000,2.4.2,126.0,tensorflow,conda-forge/tensorflow,tensorflow/tensorflow,https://www.tensorflow.org/overview,['tensorflow'],169627.0,147103.0,https://pypi.org/project/tensorflow,2021-06-29 19:08:31.000000,22524.0,10102611.0,10957188.0,https://anaconda.org/conda-forge/tensorflow,2021-04-30 05:11:44.185000,2651297.0,https://hub.docker.com/r/tensorflow/tensorflow,2021-07-08 13:37:18.284859,1925.0,55294294.0,1.0,,,,,,,,,,,,,,,,,,,,,\n5,pandas,pandas-dev/pandas,,data-containers,https://github.com/pandas-dev/pandas,https://github.com/pandas-dev/pandas,BSD-3-Clause,2010-08-24 01:37:33.000000,2021-07-08 14:38:29.000000,2021-07-08 13:11:02.000000,12625,3671.0,17341.0,30282.0,27246.0,\"Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R..\",2709.0,43,True,2021-07-02 11:59:11.000000,1.3.0,94.0,pandas,conda-forge/pandas,,,['pandas'],560070.0,483286.0,https://pypi.org/project/pandas,2021-07-02 11:59:11.000000,76784.0,53898142.0,54181809.0,https://anaconda.org/conda-forge/pandas,2021-07-02 16:54:16.536000,17510083.0,,,,,1.0,112285.0,,,,,,,,,,,,,,,,,,,,\n6,Matplotlib,matplotlib/matplotlib,,data-viz,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,Python-2.0,2011-02-19 03:17:12.000000,2021-07-08 14:20:29.000000,2021-07-08 11:08:59.000000,5828,1665.0,6356.0,13869.0,39571.0,matplotlib: plotting with Python.,1251.0,42,True,2021-05-08 05:47:47.000000,3.4.2,68.0,matplotlib,conda-forge/matplotlib,,,,476217.0,397113.0,https://pypi.org/project/matplotlib,2021-05-08 05:47:47.000000,79104.0,25853061.0,25985287.0,https://anaconda.org/conda-forge/matplotlib,2021-05-10 22:47:57.893000,9255877.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n7,scipy,scipy/scipy,,others,https://github.com/scipy/scipy,https://github.com/scipy/scipy,BSD-3-Clause,2011-03-09 18:52:03.000000,2021-07-08 10:46:36.000000,2021-07-08 10:46:36.000000,3759,1676.0,6002.0,8358.0,26023.0,\"Ecosystem of open-source software for mathematics, science, and engineering.\",1137.0,42,True,2021-06-20 17:06:43.000000,1.7.0,66.0,scipy,conda-forge/scipy,,,,454581.0,367719.0,https://pypi.org/project/scipy,2021-06-20 16:11:56.000000,86862.0,32639953.0,32899753.0,https://anaconda.org/conda-forge/scipy,2021-06-28 11:17:50.807000,15831754.0,,,,,1.0,320458.0,,,,,,,,,,,,,,,,,,,,\n8,PyTorch,pytorch/pytorch,,ml-frameworks,https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41.000000,2021-07-08 14:01:35.000000,2021-07-08 04:28:29.000000,13115,9073.0,14699.0,49349.0,38317.0,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,2752.0,41,True,2021-06-15 16:06:52.000000,1.9.0,33.0,torch,pytorch/pytorch,,https://pytorch.org/docs/stable/index.html,['pytorch'],91954.0,85272.0,https://pypi.org/project/torch,2021-06-15 15:09:35.000000,6682.0,4492054.0,4760506.0,https://anaconda.org/pytorch/pytorch,2021-06-15 16:26:06.511000,11811901.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n9,Celery,celery/celery,,data-pipelines,https://github.com/celery/celery,https://github.com/celery/celery,BSD-3-Clause,2009-04-24 11:31:24.000000,2021-07-08 10:02:07.000000,2021-07-07 18:04:24.000000,4020,519.0,4022.0,17550.0,11642.0,Asynchronous task queue/job queue based on distributed message passing.,1124.0,40,True,2021-06-28 13:14:23.000000,5.1.2,178.0,celery,conda-forge/celery,,,,83343.0,55109.0,https://pypi.org/project/celery,2021-06-28 13:14:23.000000,28234.0,5211534.0,5219956.0,https://anaconda.org/conda-forge/celery,2021-06-29 08:06:51.307000,539039.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n10,Pillow,python-pillow/Pillow,,image,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000000,2021-07-08 07:12:19.000000,2021-07-06 14:03:45.000000,1676,177.0,2064.0,8688.0,11952.0,The friendly PIL fork (Python Imaging Library).,367.0,40,True,2021-07-07 00:05:31.000000,8.3.1,82.0,Pillow,conda-forge/pillow,,,,615610.0,504184.0,https://pypi.org/project/Pillow,2021-07-06 23:56:58.000000,111426.0,33854008.0,33999783.0,https://anaconda.org/conda-forge/pillow,2021-07-07 17:38:10.169000,9183845.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n11,scikit-learn,scikit-learn/scikit-learn,,ml-frameworks,https://github.com/scikit-learn/scikit-learn,https://github.com/scikit-learn/scikit-learn,BSD-3-Clause,2010-08-17 09:43:38.000000,2021-07-08 13:45:48.000000,2021-07-08 13:45:48.000000,21637,2379.0,6983.0,46355.0,,scikit-learn: machine learning in Python.,2279.0,38,True,2021-04-28 17:20:23.000000,0.24.2,54.0,scikit-learn,conda-forge/scikit-learn,,,['sklearn'],278620.0,240732.0,https://pypi.org/project/scikit-learn,2021-04-28 11:18:29.000000,37888.0,26162620.0,26300781.0,https://anaconda.org/conda-forge/scikit-learn,2021-07-06 10:14:33.510000,8565354.0,,,,,1.0,709.0,,,,,,,,,,,,,,,,,,,,\n12,PySpark,apache/spark,,ml-frameworks,https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08.000000,2021-07-08 13:50:14.000000,2021-07-08 12:02:37.000000,24097,235.0,,30282.0,30658.0,Apache Spark Python API.,2492.0,38,True,2021-05-27 17:18:30.000000,3.1.2,26.0,pyspark,conda-forge/pyspark,,,['spark'],1363.0,603.0,https://pypi.org/project/pyspark,2021-05-27 17:18:30.000000,760.0,11685972.0,11707879.0,https://anaconda.org/conda-forge/pyspark,2021-05-29 01:33:32.376000,1139166.0,,,,,1.0,,stable/spark,,,,,,,,,,,,,,,,,,,\n13,numpy,numpy/numpy,,data-containers,https://github.com/numpy/numpy,https://github.com/numpy/numpy,BSD-3-Clause,2010-09-13 23:02:39.000000,2021-07-08 14:51:47.000000,2021-07-08 14:30:45.000000,5632,2330.0,7644.0,17574.0,,The fundamental package for scientific computing with Python.,1284.0,38,True,2021-06-22 14:00:04.000000,1.21.0,101.0,numpy,conda-forge/numpy,,,,931310.0,761588.0,https://pypi.org/project/numpy,2021-06-22 13:39:59.000000,169722.0,79820008.0,80163777.0,https://anaconda.org/conda-forge/numpy,2021-06-23 00:23:44.138000,20912279.0,,,,,1.0,362614.0,,,,,,,,,,,,,,,,,,,,\n14,XGBoost,dmlc/xgboost,,ml-frameworks,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000000,2021-07-08 11:26:21.000000,2021-07-08 08:33:58.000000,7983,296.0,3816.0,21259.0,5392.0,\"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..\",524.0,37,True,2021-05-13 11:35:17.000000,1.4.2,57.0,xgboost,conda-forge/xgboost,,https://xgboost.readthedocs.io/en/latest/,,20563.0,18971.0,https://pypi.org/project/xgboost,2021-05-13 11:49:10.000000,1592.0,6195975.0,6229705.0,https://anaconda.org/conda-forge/xgboost,2021-04-29 20:56:44.761000,1752464.0,,,,,1.0,2613.0,,,,,,,,,,,,,,,,,,,,\n15,spaCy,explosion/spaCy,,nlp,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000000,2021-07-08 11:31:23.003000,2021-07-08 07:32:14.000000,3492,96.0,4640.0,20844.0,14672.0,Industrial-strength Natural Language Processing (NLP) in Python.,597.0,37,True,2021-07-07 14:34:37.000000,3.1.0,180.0,spacy,conda-forge/spacy,,,,30182.0,27116.0,https://pypi.org/project/spacy,2021-07-07 14:33:50.000000,3066.0,2696393.0,2737381.0,https://anaconda.org/conda-forge/spacy,2021-07-08 11:31:23.003000,2169582.0,,,,,1.0,3044.0,,,,,,,,,,,,,,,,,,,,\n16,Seaborn,mwaskom/seaborn,,data-viz,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000000,2021-07-06 00:59:08.000000,2021-06-18 19:22:56.000000,1423,92.0,1781.0,8559.0,2781.0,Statistical data visualization in Python.,153.0,37,True,2021-03-29 17:36:25.000000,joss_paper,23.0,seaborn,conda-forge/seaborn,,,,116905.0,104119.0,https://pypi.org/project/seaborn,2020-12-20 20:53:25.000000,12786.0,9083099.0,9125770.0,https://anaconda.org/conda-forge/seaborn,2021-01-28 11:50:33.609000,2517561.0,,,,,1.0,167.0,,,,,,,,,,,,,,,,,,,,\n17,Arrow,apache/arrow,,data-containers,https://github.com/apache/arrow,https://github.com/apache/arrow,Apache-2.0,2016-02-17 08:00:23.000000,2021-07-08 14:54:11.000000,2021-07-08 14:54:06.000000,1956,167.0,619.0,8130.0,9507.0,Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing.,694.0,37,True,2021-04-26 21:13:42.000000,4.0.0,32.0,pyarrow,conda-forge/arrow,,,,1033.0,47.0,https://pypi.org/project/pyarrow,2021-05-30 17:16:04.000000,986.0,25200789.0,25211344.0,https://anaconda.org/conda-forge/arrow,2021-06-24 17:36:08.348000,654436.0,,,,,1.0,,,1.0,,,,,,,,,,,,,,,,,,\n18,transformers,huggingface/transformers,,nlp,https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000000,2021-07-08 13:52:57.000000,2021-07-08 11:24:46.000000,11459,413.0,6877.0,48197.0,7522.0,\"Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.\",933.0,36,True,2021-06-30 12:42:38.000000,4.8.2,62.0,transformers,conda-forge/transformers,,,\"['pytorch', 'tensorflow']\",13305.0,13177.0,https://pypi.org/project/transformers,2021-06-30 12:31:04.000000,128.0,2924280.0,2926733.0,https://anaconda.org/conda-forge/transformers,2021-06-30 16:31:05.853000,50646.0,,,,,1.0,1360.0,,,,,,,,,,,,,,,,,,,,\n19,OpenAI Gym,openai/gym,,reinforcement-learning,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16.000000,2021-07-01 13:13:26.000000,2021-05-17 23:19:33.000000,7031,312.0,1071.0,24575.0,1245.0,A toolkit for developing and comparing reinforcement learning algorithms.,275.0,36,True,2021-05-18 00:09:21.000000,0.18.3,93.0,gym,,,,,25061.0,21499.0,https://pypi.org/project/gym,2021-05-18 00:09:21.000000,3562.0,710673.0,710673.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n20,LightGBM,microsoft/LightGBM,,ml-frameworks,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000000,2021-07-08 03:12:39.000000,2021-07-07 13:29:53.000000,3306,121.0,2206.0,12719.0,2598.0,\"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..\",235.0,36,True,2021-04-12 23:03:24.000000,3.2.1,25.0,lightgbm,conda-forge/lightgbm,,,,8393.0,7837.0,https://pypi.org/project/lightgbm,2021-03-22 15:04:09.000000,556.0,3629145.0,3644615.0,https://anaconda.org/conda-forge/lightgbm,2021-04-20 13:04:15.819000,639455.0,,,,,1.0,109641.0,,,,,,,,,,,,,,,,,,,,\n21,gensim,RaRe-Technologies/gensim,,nlp,https://github.com/RaRe-Technologies/gensim,https://github.com/RaRe-Technologies/gensim,LGPL-2.1,2011-02-10 07:43:04.000000,2021-07-07 08:51:00.000000,2021-06-29 09:09:24.000000,4025,378.0,1319.0,12220.0,4144.0,Topic Modelling for Humans.,408.0,36,True,2021-04-01 14:19:26.000000,4.0.1,85.0,gensim,conda-forge/gensim,,,,29772.0,25030.0,https://pypi.org/project/gensim,2021-03-25 13:43:34.000000,4742.0,7712626.0,7727500.0,https://anaconda.org/conda-forge/gensim,2021-06-15 14:29:56.801000,682033.0,,,,,1.0,3313.0,,,,,,,,,,,,,,,,,,,,\n22,Plotly,plotly/plotly.py,,data-viz,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000000,2021-07-07 09:08:53.000000,2021-06-28 21:03:29.000000,1828,902.0,1114.0,9802.0,5126.0,The interactive graphing library for Python (includes Plotly Express).,178.0,36,True,2021-06-28 21:06:45.000000,5.1.0,269.0,plotly,conda-forge/plotly,,,,4991.0,5.0,https://pypi.org/project/plotly,2021-06-28 19:35:15.000000,4982.0,5722281.0,5794876.0,https://anaconda.org/conda-forge/plotly,2021-06-28 22:31:25.796000,1551542.0,,,,,1.0,,,,plotlywidget,https://www.npmjs.com/package/plotlywidget,2021-01-12 16:09:46.133000,4.0,46298.0,,,,,,,,,,,,,\n23,torchvision,pytorch/vision,,image,https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000000,2021-07-08 11:30:52.000000,2021-07-08 08:34:16.000000,4839,474.0,1337.0,9404.0,1869.0,\"Datasets, Transforms and Models specific to Computer Vision.\",403.0,36,True,2021-06-15 16:00:00.000000,0.10.0,24.0,torchvision,conda-forge/torchvision,,,['pytorch'],60297.0,55685.0,https://pypi.org/project/torchvision,2021-06-15 16:00:00.000000,4612.0,1673298.0,1675095.0,https://anaconda.org/conda-forge/torchvision,2021-07-01 17:23:25.774000,77281.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n24,SymPy,sympy/sympy,,others,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000000,2021-07-08 14:48:59.000000,2021-07-08 14:48:59.000000,3416,4148.0,7410.0,8230.0,47405.0,A computer algebra system written in pure Python.,1081.0,36,True,2021-04-09 22:38:24.000000,sympy-1.8,37.0,sympy,conda-forge/sympy,,,,39847.0,33425.0,https://pypi.org/project/sympy,2021-04-09 22:41:01.000000,6422.0,1516691.0,1546243.0,https://anaconda.org/conda-forge/sympy,2021-04-10 01:00:41.286000,1556249.0,,,,,1.0,427483.0,,,,,,,,,,,,,,,,,,,,\n25,Tensorboard,tensorflow/tensorboard,,ml-experiments,https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000000,2021-07-08 13:33:21.000000,2021-07-08 13:33:20.000000,1401,551.0,992.0,5554.0,4618.0,TensorFlow's Visualization Toolkit.,261.0,36,True,2021-04-19 18:42:18.000000,2.5.0,37.0,tensorboard,conda-forge/tensorboard,,,['tensorflow'],74478.0,70864.0,https://pypi.org/project/tensorboard,2021-01-14 20:49:19.000000,3614.0,10221152.0,10270235.0,https://anaconda.org/conda-forge/tensorboard,2021-06-11 23:53:46.549000,2159657.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n26,joblib,joblib/joblib,,data-pipelines,https://github.com/joblib/joblib,https://github.com/joblib/joblib,BSD-3-Clause,2010-05-07 06:48:26.000000,2021-07-01 13:51:17.000000,2021-06-11 10:31:40.000000,289,291.0,365.0,2482.0,1375.0,Computing with Python functions.,102.0,36,True,2021-02-09 16:46:29.000000,1.0.1,100.0,joblib,conda-forge/joblib,,,,120600.0,113990.0,https://pypi.org/project/joblib,2021-02-09 16:46:29.000000,6610.0,26320401.0,26395334.0,https://anaconda.org/conda-forge/joblib,2021-02-09 19:26:28.194000,4495988.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n27,h5py,h5py/h5py,,data-containers,https://github.com/h5py/h5py,https://github.com/h5py/h5py,BSD-3-Clause,2012-09-21 00:40:02.000000,2021-07-08 08:59:20.000000,2021-07-08 08:56:35.000000,409,214.0,1004.0,1536.0,3684.0,HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.,164.0,36,True,2021-06-22 12:06:46.000000,3.3.0,28.0,h5py,conda-forge/h5py,,,,145756.0,122820.0,https://pypi.org/project/h5py,2021-06-22 12:26:45.000000,22936.0,11674194.0,11760725.0,https://anaconda.org/conda-forge/h5py,2021-06-23 03:02:36.658000,5536595.0,,,,,2.0,1183.0,,,,,,,,,,,,,,,,,,,,\n28,Ray,ray-project/ray,,distributed-ml,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000000,2021-07-08 14:56:12.000000,2021-07-08 06:42:26.000000,2740,1710.0,5597.0,16547.0,8620.0,\"An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged..\",515.0,35,True,2021-06-30 22:04:46.000000,1.4.1,49.0,ray,,,,,2556.0,2396.0,https://pypi.org/project/ray,2021-06-30 22:04:46.000000,160.0,534818.0,534818.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n29,nltk,nltk/nltk,,nlp,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58.000000,2021-07-08 07:51:04.000000,2021-07-03 22:51:32.000000,2467,239.0,1256.0,9974.0,,Suite of libraries and programs for symbolic and statistical natural language processing for English.,397.0,35,True,2021-04-07 21:36:50.000000,3.6.1,41.0,nltk,conda-forge/nltk,,,,127876.0,106884.0,https://pypi.org/project/nltk,2021-04-07 21:36:50.000000,20992.0,12427964.0,12441037.0,https://anaconda.org/conda-forge/nltk,2021-04-20 15:34:03.018000,771334.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n30,networkx,networkx/networkx,,graph,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44.000000,2021-07-08 14:19:30.000000,2021-07-07 21:15:01.000000,2341,284.0,2397.0,9313.0,,Network Analysis in Python.,530.0,35,True,2021-04-03 22:22:02.000000,2.5.1,55.0,networkx,conda-forge/networkx,,,,99999.0,79181.0,https://pypi.org/project/networkx,2021-06-23 06:46:26.000000,20818.0,11921157.0,11990033.0,https://anaconda.org/conda-forge/networkx,2021-04-04 01:32:23.917000,3925959.0,,,,,1.0,54.0,,,,,,,,,,,,,,,,,,,,\n31,MXNet,apache/incubator-mxnet,,ml-frameworks,https://github.com/apache/incubator-mxnet,https://github.com/apache/incubator-mxnet,Apache-2.0,2015-04-30 16:21:15.000000,2021-07-08 11:15:41.000000,2021-07-07 23:43:41.000000,6861,1917.0,7652.0,19547.0,11624.0,\"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..\",961.0,34,True,2021-03-21 14:56:00.000000,1.8.0,980.0,mxnet,mxnet,,,['mxnet'],2617.0,2173.0,https://pypi.org/project/mxnet,2021-03-31 20:05:38.000000,444.0,214154.0,214685.0,https://anaconda.org/anaconda/mxnet,2020-02-29 00:58:31.007000,6280.0,,,,,2.0,23906.0,,,,,,,,0.0,,,,,,,,,,,,\n32,luigi,spotify/luigi,,data-pipelines,https://github.com/spotify/luigi,https://github.com/spotify/luigi,Apache-2.0,2012-09-20 15:06:38.000000,2021-07-07 10:21:38.000000,2021-07-07 10:18:00.000000,2266,87.0,844.0,14728.0,3994.0,\"Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution,..\",556.0,34,True,2021-04-17 01:06:10.000000,3.0.3,72.0,luigi,luigi,,,,2153.0,1477.0,https://pypi.org/project/luigi,2020-09-23 11:57:12.000000,676.0,794642.0,794756.0,https://anaconda.org/anaconda/luigi,2021-04-17 18:49:18.708000,7410.0,,,,,1.0,,stable/luigi,,,,,,,0.0,,,,,,,,,,,,\n33,pytorch-lightning,PyTorchLightning/pytorch-lightning,,ml-frameworks,https://github.com/PyTorchLightning/pytorch-lightning,https://github.com/PyTorchLightning/pytorch-lightning,Apache-2.0,2019-03-31 00:45:57.000000,2021-07-08 14:04:16.000000,2021-07-08 14:02:09.000000,1700,327.0,3264.0,14420.0,5226.0,\"The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.\",489.0,34,True,2021-07-01 14:07:05.000000,1.3.8,177.0,pytorch-lightning,conda-forge/pytorch-lightning,,,['pytorch'],3687.0,3673.0,https://pypi.org/project/pytorch-lightning,2021-07-01 14:07:05.000000,14.0,528725.0,542876.0,https://anaconda.org/conda-forge/pytorch-lightning,2021-07-01 17:14:15.252000,181964.0,,,,,2.0,3705.0,,,,,,,,,,,,,,,,,,,,\n34,shap,slundberg/shap,,interpretability,https://github.com/slundberg/shap,https://github.com/slundberg/shap,MIT,2016-11-22 19:17:08.000000,2021-07-07 09:23:32.000000,2021-05-17 19:05:26.000000,1916,1090.0,537.0,13197.0,1930.0,A game theoretic approach to explain the output of any machine learning model.,156.0,34,True,2021-03-03 18:38:33.000000,0.39.0,93.0,shap,conda-forge/shap,,,,3066.0,2930.0,https://pypi.org/project/shap,2021-01-15 21:02:34.000000,136.0,2410733.0,2426590.0,https://anaconda.org/conda-forge/shap,2021-04-29 12:11:05.706000,555025.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n35,onnx,onnx/onnx,,model-serialisation,https://github.com/onnx/onnx,https://github.com/onnx/onnx,Apache-2.0,2017-09-07 04:53:45.000000,2021-07-08 15:07:59.000000,2021-07-02 21:24:44.000000,2001,494.0,1132.0,10925.0,1767.0,Open standard for machine learning interoperability.,202.0,34,True,2021-04-19 19:22:57.000000,1.9.0,21.0,onnx,conda-forge/onnx,,,,3803.0,3507.0,https://pypi.org/project/onnx,2021-04-19 19:22:57.000000,296.0,1849173.0,1855370.0,https://anaconda.org/conda-forge/onnx,2021-05-08 08:02:42.009000,258032.0,,,,,1.0,15022.0,,,,,,,,,,,,,,,,,,,,\n36,Theano,Theano/Theano,,ml-frameworks,https://github.com/Theano/Theano,https://github.com/Theano/Theano,BSD-3-Clause,2011-08-10 03:48:06.000000,2021-06-05 14:19:15.755000,2021-04-13 19:05:58.000000,2514,674.0,2085.0,9432.0,28126.0,\"Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving..\",384.0,34,True,2020-07-27 16:13:54.000000,1.0.5,45.0,theano,conda-forge/theano,,,,16725.0,11251.0,https://pypi.org/project/theano,2020-07-27 16:13:54.000000,5474.0,248622.0,275103.0,https://anaconda.org/conda-forge/theano,2021-06-05 14:19:15.755000,1588863.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n37,pydeck,visgl/deck.gl,,geospatial-data,https://github.com/visgl/deck.gl,https://github.com/visgl/deck.gl,MIT,2015-12-15 08:38:29.000000,2021-07-08 04:47:51.000000,2021-07-08 03:54:22.000000,1575,97.0,2077.0,8800.0,3707.0,WebGL2 powered geospatial visualization layers.,169.0,34,True,2021-07-01 22:44:05.000000,8.4.20,479.0,pydeck,conda-forge/pydeck,,,['jupyter'],2198.0,1636.0,https://pypi.org/project/pydeck,2021-04-13 02:26:45.000000,2.0,338712.0,550834.0,https://anaconda.org/conda-forge/pydeck,2021-04-13 20:41:22.066000,39454.0,,,,,1.0,,,,deck.gl,https://www.npmjs.com/package/deck.gl,2021-07-06 06:10:52.046000,560.0,209802.0,,,,,,,,,,,,,\n38,dask,dask/dask,,distributed-ml,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000000,2021-07-08 04:28:07.000000,2021-07-07 22:47:45.000000,1290,754.0,3079.0,8538.0,,Parallel computing with task scheduling.,455.0,34,True,2021-06-22 16:57:56.000000,2021.6.2,121.0,dask,conda-forge/dask,,,,32783.0,28867.0,https://pypi.org/project/dask,2021-06-22 16:57:56.000000,3916.0,4515518.0,4574346.0,https://anaconda.org/conda-forge/dask,2021-06-23 01:41:22.341000,3647341.0,,,,,1.0,,stable/dask,,,,,,,,,,,,,,,,,,,\n39,rq,rq/rq,,data-pipelines,https://github.com/rq/rq,https://github.com/rq/rq,BSD-3-Clause,2011-11-14 10:53:48.000000,2021-06-30 14:24:15.000000,2021-06-30 07:08:23.000000,1237,158.0,723.0,7787.0,1585.0,Simple job queues for Python.,242.0,34,True,2021-06-30 07:22:37.000000,1.9.0,66.0,rq,conda-forge/rq,,,,11608.0,8284.0,https://pypi.org/project/rq,2021-06-30 07:21:51.000000,3324.0,478898.0,479822.0,https://anaconda.org/conda-forge/rq,2021-06-30 09:49:43.099000,55486.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n40,PyFlink,apache/flink,,ml-frameworks,https://github.com/apache/flink,https://github.com/apache/flink,Apache-2.0,2014-06-07 07:00:10.000000,2021-07-08 14:04:05.000000,2021-07-08 09:39:58.000000,9068,573.0,,16620.0,27379.0,Apache Flink Python API.,1315.0,33,True,2021-05-28 14:53:34.000000,1.13.1,18.0,apache-flink,,,,,304.0,304.0,https://pypi.org/project/apache-flink,2021-05-28 14:53:34.000000,0.0,7519.0,7519.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n41,Bokeh,bokeh/bokeh,,data-viz,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000000,2021-07-08 02:31:57.000000,2021-07-08 02:30:10.000000,3742,690.0,5949.0,15281.0,,\"Interactive Data Visualization in the browser, from Python.\",563.0,33,True,2021-07-07 18:02:49.000000,2.3.3,99.0,bokeh,conda-forge/bokeh,,,,42019.0,36147.0,https://pypi.org/project/bokeh,2021-07-07 18:02:49.000000,5872.0,1865262.0,1959895.0,https://anaconda.org/conda-forge/bokeh,2021-05-11 13:20:48.298000,4826327.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n42,dash,plotly/dash,,data-viz,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000000,2021-07-08 14:38:53.000000,2021-07-08 14:37:02.000000,1505,451.0,593.0,14818.0,3544.0,\"Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.\",79.0,33,True,2021-04-08 22:35:48.000000,1.20.0,137.0,dash,conda-forge/dash,,,,1744.0,136.0,https://pypi.org/project/dash,2021-01-19 23:50:28.000000,1608.0,550752.0,557697.0,https://anaconda.org/conda-forge/dash,2021-04-10 06:31:33.446000,263912.0,,,,,1.0,,,-2.0,,,,,,,,,,,,,,,,,,\n43,mlflow,mlflow/mlflow,,ml-experiments,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000000,2021-07-08 14:54:25.000000,2021-07-08 14:25:49.000000,2126,832.0,1090.0,9737.0,2080.0,Open source platform for the machine learning lifecycle.,302.0,33,True,2021-06-18 10:14:56.000000,1.18.0,46.0,mlflow,conda-forge/mlflow,,,,154.0,,https://pypi.org/project/mlflow,2021-06-18 09:24:25.000000,154.0,7681259.0,7694054.0,https://anaconda.org/conda-forge/mlflow,2021-06-18 15:40:23.433000,345480.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n44,StatsModels,statsmodels/statsmodels,,ml-frameworks,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000000,2021-07-08 09:29:45.000000,2021-07-08 09:29:45.000000,2261,2132.0,2351.0,6429.0,,Statsmodels: statistical modeling and econometrics in Python.,322.0,33,True,2021-02-02 11:08:49.000000,0.12.2,25.0,statsmodels,conda-forge/statsmodels,,,,52239.0,45583.0,https://pypi.org/project/statsmodels,2021-02-02 11:08:49.000000,6656.0,5483190.0,5554025.0,https://anaconda.org/conda-forge/statsmodels,2021-02-15 17:38:00.380000,4320987.0,,,,,2.0,25.0,,,,,,,,,,,,,,,,,,,,\n45,scikit-image,scikit-image/scikit-image,,image,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,BSD-2-Clause,2011-07-07 22:07:20.000000,2021-07-08 08:32:50.000000,2021-07-08 07:47:04.000000,1822,694.0,1548.0,4411.0,,Image processing in Python.,499.0,33,True,2021-01-19 08:17:34.000000,0.18.1,38.0,scikit-image,conda-forge/scikit-image,,,,88460.0,73686.0,https://pypi.org/project/scikit-image,2021-06-29 01:49:12.000000,14774.0,3462382.0,3504709.0,https://anaconda.org/conda-forge/scikit-image,2021-07-08 03:21:46.788000,2624317.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n46,TensorFlow Datasets,tensorflow/datasets,,tensorflow-utils,https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000000,2021-07-08 15:26:27.000000,2021-07-05 08:46:37.000000,1060,474.0,573.0,2896.0,4085.0,\"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...\",211.0,33,True,2021-05-07 13:09:09.000000,4.3.0,22.0,tensorflow-datasets,,,,['tensorflow'],5416.0,5314.0,https://pypi.org/project/tensorflow-datasets,2021-05-07 11:42:04.000000,102.0,1413999.0,1413999.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n47,Shapely,Toblerity/Shapely,,geospatial-data,https://github.com/Toblerity/Shapely,https://github.com/Toblerity/Shapely,BSD-3-Clause,2011-12-31 19:43:11.000000,2021-07-07 15:00:34.000000,2021-06-24 01:26:36.000000,410,138.0,622.0,2334.0,1520.0,Manipulation and analysis of geometric objects.,116.0,33,True,2020-12-15 18:27:01.000000,1.7.1,100.0,shapely,conda-forge/shapely,,,,25660.0,20202.0,https://pypi.org/project/shapely,2021-03-04 00:27:13.000000,5458.0,4446804.0,4482832.0,https://anaconda.org/conda-forge/shapely,2021-06-02 19:34:35.262000,2485974.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n48,TF Addons,tensorflow/addons,,tensorflow-utils,https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17.000000,2021-07-07 10:33:33.000000,2021-07-07 10:33:33.000000,476,217.0,661.0,1316.0,1369.0,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,168.0,33,True,2021-05-15 16:45:30.000000,0.13.0,26.0,tensorflow-addons,,,,['tensorflow'],3574.0,3556.0,https://pypi.org/project/tensorflow-addons,2021-05-15 17:10:13.000000,18.0,4059038.0,4059038.0,,,,,,,,1.0,,,1.0,,,,,,,,,,,,,,,,,,\n49,Airflow,apache/airflow,,data-pipelines,https://github.com/apache/airflow,https://github.com/apache/airflow,Apache-2.0,2015-04-13 18:04:58.000000,2021-07-08 14:56:53.000000,2021-07-08 14:15:20.000000,8728,963.0,2807.0,22562.0,,\"Platform to programmatically author, schedule, and monitor workflows.\",1923.0,32,True,2021-07-02 20:12:21.000000,2.1.1,80.0,apache-airflow,conda-forge/airflow,apache/airflow,,,294.0,,https://pypi.org/project/apache-airflow,2021-07-02 19:33:48.000000,294.0,2654921.0,3045977.0,https://anaconda.org/conda-forge/airflow,2021-07-04 09:56:21.710000,354239.0,https://hub.docker.com/r/apache/airflow,2021-07-03 03:12:05.527036,263.0,28641193.0,1.0,148412.0,stable/airflow,1.0,,,,,,,,,,,,,,,,,,\n50,tensor2tensor,tensorflow/tensor2tensor,,tensorflow-utils,https://github.com/tensorflow/tensor2tensor,https://github.com/tensorflow/tensor2tensor,Apache-2.0,2017-06-15 16:57:39.000000,2021-06-27 15:08:53.000000,2021-06-22 02:47:08.000000,2909,562.0,667.0,11398.0,4351.0,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,233.0,32,True,2020-06-17 16:15:36.000000,1.15.7,79.0,tensor2tensor,,,,['tensorflow'],1165.0,1001.0,https://pypi.org/project/tensor2tensor,2020-06-17 16:15:36.000000,164.0,365676.0,365676.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n51,flair,flairNLP/flair,,nlp,https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,MIT,2018-06-11 11:04:18.000000,2021-07-08 11:37:07.000000,2021-07-01 19:16:09.000000,1654,95.0,1482.0,10546.0,3390.0,A very simple framework for state-of-the-art Natural Language Processing (NLP).,201.0,32,True,2021-03-05 11:57:03.000000,0.8,21.0,flair,,,,['pytorch'],886.0,838.0,https://pypi.org/project/flair,2021-03-08 23:08:40.000000,48.0,70870.0,70870.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n52,AllenNLP,allenai/allennlp,,nlp,https://github.com/allenai/allennlp,https://github.com/allenai/allennlp,Apache-2.0,2017-05-15 15:52:41.000000,2021-07-08 13:03:01.000000,2021-07-07 01:34:43.000000,2076,98.0,2294.0,10306.0,2357.0,\"An open-source NLP research library, built on PyTorch.\",244.0,32,True,2021-06-03 17:35:55.000000,2.5.0,214.0,allennlp,,,,['pytorch'],2022.0,1788.0,https://pypi.org/project/allennlp,2021-07-08 11:52:35.000000,234.0,38668.0,38668.0,,,,,,,,1.0,40.0,,,,,,,,,,,,,,,,,,,,\n53,dlib,davisking/dlib,,ml-frameworks,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000000,2021-07-06 15:13:05.000000,2021-06-30 10:43:43.000000,2933,41.0,1879.0,10298.0,7945.0,A toolkit for making real world machine learning and data analysis applications in C++.,167.0,32,False,2021-03-28 13:36:18.000000,19.22,28.0,dlib,conda-forge/dlib,,,,11998.0,10640.0,https://pypi.org/project/dlib,2020-12-04 19:23:04.000000,1358.0,115622.0,121707.0,https://anaconda.org/conda-forge/dlib,2021-04-03 09:47:47.788000,333423.0,,,,,2.0,24628.0,,,,,,,,,,,,,,,,,,,,\n54,DVC,iterative/dvc,,ml-experiments,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000000,2021-07-08 14:52:14.000000,2021-07-08 14:48:15.000000,787,566.0,2538.0,8238.0,6681.0,Data Version Control | Git for Data & Models | ML Experiments Management.,229.0,32,True,2021-07-08 14:52:14.000000,2.5.1,324.0,dvc,conda-forge/dvc,,,,1254.0,1208.0,https://pypi.org/project/dvc,2021-07-03 20:05:05.000000,46.0,304095.0,338344.0,https://anaconda.org/conda-forge/dvc,2021-07-07 12:43:20.947000,765882.0,,,,,1.0,30397.0,,,,,,,,,dvc,dvc,dvc,,,,,,,,,\n55,pandas-profiling,pandas-profiling/pandas-profiling,,data-viz,https://github.com/pandas-profiling/pandas-profiling,https://github.com/pandas-profiling/pandas-profiling,MIT,2016-01-09 23:47:55.000000,2021-07-05 21:44:02.000000,2021-06-27 20:16:39.000000,1110,71.0,400.0,7576.0,852.0,Create HTML profiling reports from pandas DataFrame objects.,79.0,32,True,2021-05-11 22:24:40.000000,3.0.0,30.0,pandas-profiling,conda-forge/pandas-profiling,,,\"['jupyter', 'pandas']\",4748.0,4588.0,https://pypi.org/project/pandas-profiling,2021-05-11 22:24:40.000000,160.0,476571.0,478975.0,https://anaconda.org/conda-forge/pandas-profiling,2021-05-12 01:17:17.354000,141850.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n56,Chainer,chainer/chainer,,ml-frameworks,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37.000000,2021-06-10 09:05:27.000000,2021-06-10 08:30:31.000000,1374,18.0,2025.0,5591.0,30595.0,A flexible framework of neural networks for deep learning.,318.0,32,True,2021-06-10 09:05:28.000000,7.8.0,110.0,chainer,,,,,3066.0,2324.0,https://pypi.org/project/chainer,2021-06-10 08:29:05.000000,742.0,30131.0,30131.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n57,folium,python-visualization/folium,,geospatial-data,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000000,2021-06-28 15:44:27.000000,2021-06-19 11:04:19.000000,1951,167.0,699.0,5326.0,1475.0,Python Data. Leaflet.js Maps.,122.0,32,True,2021-01-18 17:29:40.000000,0.12.1,25.0,folium,conda-forge/folium,,,,11734.0,10766.0,https://pypi.org/project/folium,2021-01-18 17:29:40.000000,968.0,536641.0,542518.0,https://anaconda.org/conda-forge/folium,2021-03-12 17:41:57.124000,376161.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n58,imbalanced-learn,scikit-learn-contrib/imbalanced-learn,,sklearn-utils,https://github.com/scikit-learn-contrib/imbalanced-learn,https://github.com/scikit-learn-contrib/imbalanced-learn,MIT,2014-08-16 05:08:26.000000,2021-06-18 13:14:13.000000,2021-05-25 16:10:30.000000,1099,39.0,431.0,5322.0,740.0,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,58.0,32,True,2021-02-18 14:00:33.000000,0.8.0,27.0,imbalanced-learn,conda-forge/imbalanced-learn,,,['sklearn'],6463.0,6183.0,https://pypi.org/project/imbalanced-learn,2021-02-18 13:50:00.000000,280.0,1858864.0,1861996.0,https://anaconda.org/conda-forge/imbalanced-learn,2021-02-18 15:40:00.937000,140949.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n59,CuPy,cupy/cupy,,gpu-utilities,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000000,2021-07-08 13:18:57.000000,2021-07-08 09:30:55.000000,481,351.0,1074.0,5207.0,22221.0,NumPy & SciPy for GPU.,266.0,32,True,2021-06-24 08:32:19.000000,9.2.0,96.0,cupy,conda-forge/cupy,cupy/cupy,,,957.0,765.0,https://pypi.org/project/cupy,2021-06-24 06:54:30.000000,192.0,78361.0,114331.0,https://anaconda.org/conda-forge/cupy,2021-06-26 12:55:54.483000,729429.0,https://hub.docker.com/r/cupy/cupy,2021-07-08 09:37:30.182043,6.0,51396.0,1.0,16909.0,,,,,,,,,,,,,,,,,,,,\n60,Beam,apache/beam,,data-pipelines,https://github.com/apache/beam,https://github.com/apache/beam,Apache-2.0,2016-02-02 08:00:06.000000,2021-07-08 14:21:34.000000,2021-07-08 14:21:34.000000,3086,170.0,,4893.0,32433.0,\"Unified programming model to define and execute data processing pipelines, including ETL, batch and stream processing.\",1085.0,32,True,2021-06-09 21:48:14.000000,2.30.0,36.0,apache-beam,,,,,186.0,,https://pypi.org/project/apache-beam,2021-06-22 00:08:37.000000,186.0,2849239.0,2849239.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n61,Optuna,optuna/optuna,,hyperopt,https://github.com/optuna/optuna,https://github.com/optuna/optuna,MIT,2018-02-21 06:12:56.000000,2021-07-08 11:23:56.000000,2021-07-07 02:33:20.000000,528,162.0,729.0,4779.0,10212.0,A hyperparameter optimization framework.,141.0,32,True,2021-06-07 07:07:08.000000,2.8.0,38.0,optuna,conda-forge/optuna,,,,1628.0,1576.0,https://pypi.org/project/optuna,2021-06-07 07:07:08.000000,52.0,602662.0,604240.0,https://anaconda.org/conda-forge/optuna,2021-06-07 09:30:29.517000,31564.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n62,geopy,geopy/geopy,,geospatial-data,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000000,2021-06-14 20:47:10.000000,2021-04-17 15:44:06.000000,535,25.0,223.0,3355.0,1061.0,Geocoding library for Python.,122.0,32,True,2020-12-27 13:15:23.000000,2.1.0,57.0,geopy,conda-forge/geopy,,,,30452.0,23208.0,https://pypi.org/project/geopy,2020-12-27 13:12:21.000000,7244.0,5192283.0,5201039.0,https://anaconda.org/conda-forge/geopy,2020-12-27 14:22:55.127000,560437.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n63,tensorflow-hub,tensorflow/hub,,tensorflow-utils,https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42.000000,2021-07-01 06:49:19.000000,2021-07-01 06:49:16.000000,1502,34.0,583.0,2877.0,911.0,A library for transfer learning by reusing parts of TensorFlow models.,73.0,32,True,2021-04-14 13:17:26.000000,0.12.0,15.0,tensorflow-hub,conda-forge/tensorflow-hub,,,['tensorflow'],7775.0,7461.0,https://pypi.org/project/tensorflow-hub,2021-04-14 12:54:13.000000,314.0,3032543.0,3034014.0,https://anaconda.org/conda-forge/tensorflow-hub,2021-04-18 18:01:14.779000,54430.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n64,GeoPandas,geopandas/geopandas,,geospatial-data,https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000000,2021-07-08 08:49:24.000000,2021-07-08 08:22:48.000000,594,324.0,751.0,2687.0,1408.0,Python tools for geographic data.,144.0,32,True,2021-02-28 21:10:46.000000,0.9.0,37.0,geopandas,conda-forge/geopandas,,,['pandas'],10305.0,9139.0,https://pypi.org/project/geopandas,2021-02-28 21:10:43.000000,1166.0,1224169.0,1240489.0,https://anaconda.org/conda-forge/geopandas,2021-06-09 14:45:13.341000,1043421.0,,,,,1.0,1070.0,,,,,,,,,,,,,,,,,,,,\n65,Thinc,explosion/thinc,,ml-frameworks,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59.000000,2021-07-04 09:45:08.908000,2021-07-01 11:05:13.000000,210,17.0,94.0,2315.0,4949.0,\"A refreshing functional take on deep learning, compatible with your favorite libraries.\",39.0,32,True,2021-07-01 12:13:50.000000,8.0.7,193.0,thinc,conda-forge/thinc,,,,15592.0,14454.0,https://pypi.org/project/thinc,2021-07-01 12:12:11.000000,1138.0,2523754.0,2552273.0,https://anaconda.org/conda-forge/thinc,2021-07-04 09:45:08.908000,1511517.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n66,Rasterio,mapbox/rasterio,,geospatial-data,https://github.com/mapbox/rasterio,https://github.com/mapbox/rasterio,BSD-3-Clause,2013-11-04 16:36:27.000000,2021-07-01 20:12:41.000000,2021-06-28 15:31:43.000000,420,147.0,1272.0,1528.0,3368.0,Rasterio reads and writes geospatial raster datasets.,111.0,32,True,2021-06-23 00:38:10.000000,1.2.6,127.0,rasterio,conda-forge/rasterio,,,,4237.0,3387.0,https://pypi.org/project/rasterio,2021-06-23 00:38:10.000000,850.0,583082.0,600680.0,https://anaconda.org/conda-forge/rasterio,2021-06-24 09:36:51.700000,1125669.0,,,,,1.0,733.0,,,,,,,,,,,,,,,,,,,,\n67,dask.distributed,dask/distributed,,distributed-ml,https://github.com/dask/distributed,https://github.com/dask/distributed,BSD-3-Clause,2015-09-13 18:42:29.000000,2021-07-08 14:17:42.000000,2021-07-08 13:13:38.000000,535,843.0,1417.0,1219.0,,A distributed task scheduler for Dask.,245.0,32,True,2021-06-18 17:00:44.000000,2021.6.1,152.0,distributed,conda-forge/distributed,,,,20890.0,19112.0,https://pypi.org/project/distributed,2021-06-22 16:58:07.000000,1778.0,3513234.0,3588167.0,https://anaconda.org/conda-forge/distributed,2021-06-23 00:14:27.888000,4645897.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n68,imageio,imageio/imageio,,image,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000000,2021-07-06 13:02:51.000000,2021-07-05 07:53:41.000000,180,67.0,305.0,889.0,1270.0,Python library for reading and writing image data.,79.0,32,True,2020-07-10 07:45:22.000000,2.9.0,31.0,imageio,conda-forge/imageio,,,,48289.0,44451.0,https://pypi.org/project/imageio,2020-07-06 13:20:41.000000,3838.0,8147200.0,8185395.0,https://anaconda.org/conda-forge/imageio,2020-07-06 14:13:25.518000,2062566.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n69,jieba,fxsjy/jieba,,chinese-nlp,https://github.com/fxsjy/jieba,https://github.com/fxsjy/jieba,MIT,2012-09-29 07:52:01.000000,2021-05-30 19:33:02.597000,2020-02-15 08:33:35.000000,6284,611.0,205.0,26586.0,523.0,Chinese Words Segmentation Utilities.,48.0,31,False,2020-01-20 14:27:23.000000,0.42.1,32.0,jieba,conda-forge/jieba,,,,13112.0,10596.0,https://pypi.org/project/jieba,2020-01-20 14:27:23.000000,2516.0,432131.0,433782.0,https://anaconda.org/conda-forge/jieba,2021-05-30 19:33:02.597000,84227.0,,,,,1.0,,,-1.0,,,,,,,,,,,,,,,,,,\n70,Fastai,fastai/fastai,,ml-frameworks,https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000000,2021-07-08 11:44:52.000000,2021-07-02 21:40:08.000000,7047,94.0,1391.0,21114.0,1768.0,The fastai deep learning library.,472.0,31,True,2021-06-16 01:12:27.000000,2.4,121.0,fastai,,,,['pytorch'],368.0,,https://pypi.org/project/fastai,2021-06-16 01:13:03.000000,368.0,164147.0,164147.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n71,PaddlePaddle,PaddlePaddle/Paddle,,ml-frameworks,https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000000,2021-07-08 13:55:13.000000,2021-07-08 13:20:26.000000,3866,2612.0,10998.0,15967.0,15069.0,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,573.0,31,True,2021-07-01 08:43:33.000000,2.1.1,46.0,paddlepaddle,,,,['paddle'],71.0,55.0,https://pypi.org/project/paddlepaddle,2021-06-25 07:07:45.000000,16.0,22793.0,23052.0,,,,,,,,2.0,15285.0,,,,,,,,,,,,,,,,,,,,\n72,jax,google/jax,,ml-frameworks,https://github.com/google/jax,https://github.com/google/jax,Apache-2.0,2018-10-25 21:25:02.000000,2021-07-08 11:54:09.000000,2021-07-08 11:54:03.000000,1197,761.0,1722.0,13265.0,,\"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.\",305.0,31,True,2021-06-23 22:41:37.000000,0.2.16,95.0,jax,conda-forge/jaxlib,,,,1994.0,1948.0,https://pypi.org/project/jax,2021-06-23 22:41:37.000000,46.0,445175.0,451617.0,https://anaconda.org/conda-forge/jaxlib,2021-05-18 05:56:35.288000,154617.0,,,,,2.0,,,1.0,,,,,,,,,,,,,,,,,,\n73,imgaug,aleju/imgaug,,image,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33.000000,2021-04-15 01:52:46.000000,2020-06-01 14:58:26.000000,2082,242.0,214.0,11433.0,2913.0,Image augmentation for machine learning experiments.,36.0,31,False,2020-02-06 06:18:40.000000,0.4.0,11.0,imgaug,conda-forge/imgaug,,,,7473.0,6917.0,https://pypi.org/project/imgaug,2020-02-05 20:54:22.000000,556.0,214169.0,215967.0,https://anaconda.org/conda-forge/imgaug,2020-02-14 16:06:53.525000,44951.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n74,ChatterBot,gunthercox/ChatterBot,,nlp,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00.000000,2021-07-06 18:11:57.000000,2021-06-01 10:43:00.000000,3802,275.0,1238.0,11282.0,1848.0,\"ChatterBot is a machine learning, conversational dialog engine for creating chat bots.\",103.0,31,True,2020-08-22 18:42:43.000000,1.0.8,86.0,chatterbot,,,,,4293.0,3613.0,https://pypi.org/project/chatterbot,2020-08-22 18:40:36.000000,680.0,38198.0,38198.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n75,Albumentations,albumentations-team/albumentations,,image,https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000000,2021-07-08 07:48:29.000000,2021-07-07 21:16:31.000000,1055,223.0,283.0,8304.0,645.0,Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation:..,79.0,31,True,2021-07-06 13:14:40.000000,1.0.1,46.0,albumentations,conda-forge/albumentations,,,['pytorch'],4443.0,4315.0,https://pypi.org/project/albumentations,2021-07-06 13:14:40.000000,128.0,186417.0,187245.0,https://anaconda.org/conda-forge/albumentations,2021-07-06 15:25:33.004000,20708.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n76,fuzzywuzzy,seatgeek/fuzzywuzzy,,nlp,https://github.com/seatgeek/fuzzywuzzy,https://github.com/seatgeek/fuzzywuzzy,GPL-2.0,2011-07-08 19:32:34.000000,2021-05-25 22:02:00.000000,2021-02-20 06:36:20.000000,851,103.0,100.0,8289.0,381.0,Fuzzy String Matching in Python.,68.0,31,False,2020-02-13 22:14:12.000000,0.18.0,27.0,fuzzywuzzy,conda-forge/fuzzywuzzy,,,,12463.0,9257.0,https://pypi.org/project/fuzzywuzzy,2020-02-13 21:06:25.000000,3206.0,4299260.0,4304418.0,https://anaconda.org/conda-forge/fuzzywuzzy,2020-11-18 12:59:01.409000,309494.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n77,wordcloud,amueller/word_cloud,,data-viz,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59.000000,2021-03-21 10:56:17.000000,2021-03-01 23:14:14.000000,2079,100.0,351.0,8167.0,543.0,A little word cloud generator in Python.,61.0,31,True,2020-11-11 21:41:02.000000,1.8.1,16.0,wordcloud,conda-forge/wordcloud,,,,13333.0,12229.0,https://pypi.org/project/wordcloud,2020-11-11 21:41:02.000000,1104.0,483283.0,487101.0,https://anaconda.org/conda-forge/wordcloud,2021-01-14 18:03:24.960000,225304.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n78,MoviePy,Zulko/moviepy,,image,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000000,2021-06-02 15:38:21.000000,2021-06-02 15:38:21.000000,1043,337.0,749.0,7604.0,1061.0,Video editing with Python.,142.0,31,True,2020-05-07 16:29:35.000000,1.0.3,84.0,moviepy,conda-forge/moviepy,,,,9569.0,8439.0,https://pypi.org/project/moviepy,2020-10-05 00:26:29.000000,1130.0,4582911.0,4584677.0,https://anaconda.org/conda-forge/moviepy,2020-02-23 19:57:49.975000,84815.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n79,Altair,altair-viz/altair,,data-viz,https://github.com/altair-viz/altair,https://github.com/altair-viz/altair,BSD-3-Clause,2015-09-19 03:14:04.000000,2021-05-16 11:30:15.000000,2021-04-04 16:59:23.000000,608,234.0,1325.0,6773.0,3065.0,Declarative statistical visualization library for Python.,127.0,31,True,2020-04-01 13:29:16.000000,4.1.0,26.0,altair,conda-forge/altair,,,,13479.0,13109.0,https://pypi.org/project/altair,2020-04-01 13:23:10.000000,370.0,1772232.0,1785380.0,https://anaconda.org/conda-forge/altair,2020-04-01 16:49:36.519000,788912.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n80,Prefect,PrefectHQ/prefect,,data-pipelines,https://github.com/PrefectHQ/prefect,https://github.com/PrefectHQ/prefect,Apache-2.0,2018-06-29 21:59:26.000000,2021-07-08 12:39:17.000000,2021-07-07 15:42:12.000000,610,349.0,1470.0,6511.0,14047.0,The easiest way to automate your data.,212.0,31,True,2021-07-01 21:37:51.000000,0.15.0,100.0,prefect,conda-forge/prefect,,,,369.0,367.0,https://pypi.org/project/prefect,2021-07-01 21:37:51.000000,2.0,101036.0,104993.0,https://anaconda.org/conda-forge/prefect,2021-07-02 16:13:58.804000,110820.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n81,Hyperopt,hyperopt/hyperopt,,hyperopt,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59.000000,2021-06-30 04:29:22.000000,2021-06-30 04:29:22.000000,880,343.0,227.0,5720.0,1180.0,Distributed Asynchronous Hyperparameter Optimization in Python.,89.0,31,True,2020-10-07 09:52:56.000000,0.2.5,11.0,hyperopt,conda-forge/hyperopt,,,,4190.0,3686.0,https://pypi.org/project/hyperopt,2020-10-07 09:52:56.000000,504.0,1037340.0,1044305.0,https://anaconda.org/conda-forge/hyperopt,2020-10-14 07:57:14.292000,236832.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n82,Pydub,jiaaro/pydub,,audio,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38.000000,2021-06-29 21:59:01.000000,2021-06-08 14:06:40.000000,736,204.0,246.0,5446.0,742.0,Manipulate audio with a simple and easy high level interface.,90.0,31,True,2021-03-10 02:10:41.000000,0.25.1,68.0,pydub,conda-forge/pydub,,,,9116.0,7762.0,https://pypi.org/project/pydub,2021-03-10 02:09:53.000000,1354.0,1559513.0,1560038.0,https://anaconda.org/conda-forge/pydub,2021-03-13 05:16:50.142000,16284.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n83,sentencepiece,google/sentencepiece,,nlp,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000000,2021-07-06 14:40:05.000000,2021-07-02 15:44:09.000000,705,31.0,424.0,5187.0,697.0,Unsupervised text tokenizer for Neural Network-based text generation.,57.0,31,True,2021-06-18 09:34:31.000000,0.1.96,31.0,sentencepiece,conda-forge/sentencepiece,,,,8895.0,8655.0,https://pypi.org/project/sentencepiece,2021-06-18 09:34:31.000000,240.0,2614135.0,2620375.0,https://anaconda.org/conda-forge/sentencepiece,2021-02-09 05:49:50.247000,69563.0,,,,,1.0,15571.0,,,,,,,,,,,,,,,,,,,,\n84,UMAP,lmcinnes/umap,,data-viz,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17.000000,2021-07-02 16:54:07.000000,2021-07-02 16:54:07.000000,535,257.0,262.0,4833.0,1445.0,Uniform Manifold Approximation and Projection.,87.0,31,True,2021-02-08 21:04:43.000000,0.5.1,35.0,umap-learn,,,,,3500.0,3274.0,https://pypi.org/project/umap-learn,2021-02-08 21:04:43.000000,226.0,480534.0,480534.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n85,wandb client,wandb/client,,ml-experiments,https://github.com/wandb/client,https://github.com/wandb/client,MIT,2017-03-24 05:46:23.000000,2021-07-08 14:45:13.000000,2021-07-07 22:20:15.000000,225,342.0,846.0,3101.0,4049.0,A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.,83.0,31,True,2021-06-30 01:12:57.000000,0.10.33,203.0,wandb,,,,,3709.0,3631.0,https://pypi.org/project/wandb,2021-06-30 00:49:02.000000,78.0,647555.0,647555.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n86,opencv-python,opencv/opencv-python,,image,https://github.com/opencv/opencv-python,https://github.com/opencv/opencv-python,MIT,2016-04-08 13:36:40.000000,2021-07-08 07:53:25.000000,2021-07-08 07:53:24.000000,395,26.0,413.0,2081.0,765.0,\"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..\",31.0,31,True,2021-06-07 08:27:24.000000,53,53.0,opencv-python,,,,,12560.0,,https://pypi.org/project/opencv-python,2021-06-07 13:39:37.000000,12560.0,4560718.0,4560718.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n87,numexpr,pydata/numexpr,,data-containers,https://github.com/pydata/numexpr,https://github.com/pydata/numexpr,MIT,2013-11-30 22:33:48.000000,2021-07-07 23:40:02.000000,2021-03-03 18:33:11.000000,166,55.0,251.0,1603.0,686.0,\"Fast numerical array expression evaluator for Python, NumPy, PyTables, pandas, bcolz and more.\",57.0,31,True,2021-03-03 18:13:19.000000,2.7.3,40.0,numexpr,conda-forge/numexpr,,,,5482.0,,https://pypi.org/project/numexpr,2021-03-03 18:13:19.000000,5482.0,1344456.0,1390430.0,https://anaconda.org/conda-forge/numexpr,2021-03-05 20:56:41.232000,2712478.0,,,,,2.0,,,1.0,,,,,,,,,,,,,,,,,,\n88,SageMaker SDK,aws/sagemaker-python-sdk,,ml-experiments,https://github.com/aws/sagemaker-python-sdk,https://github.com/aws/sagemaker-python-sdk,Apache-2.0,2017-11-14 01:03:33.000000,2021-07-08 14:34:46.000000,2021-07-08 00:10:07.000000,650,251.0,607.0,1415.0,2068.0,A library for training and deploying machine learning models on Amazon SageMaker.,208.0,31,True,2021-07-07 17:32:35.000000,2.48.0,347.0,sagemaker,,,,\"['mxnet', 'tensorflow']\",796.0,768.0,https://pypi.org/project/sagemaker,2021-07-07 17:32:35.000000,28.0,768595.0,768595.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n89,Wand,emcconville/wand,,image,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000000,2021-06-14 21:35:11.000000,2021-06-14 21:21:50.000000,186,19.0,332.0,1097.0,1709.0,The ctypes-based simple ImageMagick binding for Python.,95.0,31,True,2021-02-28 13:13:25.000000,0.6.6,48.0,wand,,,,,6501.0,5331.0,https://pypi.org/project/wand,2021-02-28 12:46:37.000000,1170.0,420172.0,420335.0,,,,,,,,1.0,5217.0,,,,,,,,,,,,,,,,,,,,\n90,Fiona,Toblerity/Fiona,,geospatial-data,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00.000000,2021-06-24 02:36:41.000000,2021-06-24 02:36:41.000000,175,80.0,565.0,820.0,1264.0,Fiona reads and writes geographic data files.,65.0,31,True,2021-05-31 23:04:33.000000,1.8.20,98.0,fiona,conda-forge/fiona,,,,7315.0,6127.0,https://pypi.org/project/fiona,2021-05-31 23:04:33.000000,1188.0,1572460.0,1604719.0,https://anaconda.org/conda-forge/fiona,2021-06-14 22:45:23.836000,2064585.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n91,pyproj,pyproj4/pyproj,,geospatial-data,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000000,2021-07-07 03:14:59.000000,2021-07-07 03:13:14.000000,156,10.0,406.0,630.0,1171.0,Python interface to PROJ (cartographic projections and coordinate transformations library).,42.0,31,True,2021-05-24 21:05:22.000000,3.1.0,35.0,pyproj,conda-forge/pyproj,,,,12722.0,10260.0,https://pypi.org/project/pyproj,2021-05-24 21:05:22.000000,2462.0,3190043.0,3224453.0,https://anaconda.org/conda-forge/pyproj,2021-06-16 00:57:22.613000,2305474.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n92,Keras,keras-team/keras,,ml-frameworks,https://github.com/keras-team/keras,https://github.com/keras-team/keras,MIT,2015-03-28 00:35:42.000000,2021-07-08 13:52:38.000000,2021-07-08 13:52:28.000000,18738,680.0,10187.0,51864.0,5621.0,Deep Learning for humans.,928.0,30,True,2020-06-24 22:40:48.000000,2.4.3,52.0,keras,conda-forge/keras,,https://keras.io,['tensorflow'],0.0,,https://pypi.org/project/keras,2021-06-30 18:04:16.000000,0.0,3281581.0,3310865.0,https://anaconda.org/conda-forge/keras,2021-04-19 19:56:38.549000,1727792.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n93,Face Recognition,ageitgey/face_recognition,,image,https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39.000000,2021-07-03 15:07:14.000000,2021-06-14 10:10:40.000000,11122,601.0,542.0,40626.0,219.0,The world's simplest facial recognition api for Python and the command line.,47.0,30,True,2018-08-21 18:34:21.000000,1.2.3,21.0,face_recognition,,,,['pytorch'],406.0,,https://pypi.org/project/face_recognition,2018-08-21 18:34:21.000000,406.0,64286.0,64294.0,,,,,,,,2.0,442.0,,,,,,,,,,,,,,,,,,,,\n94,fastText,facebookresearch/fastText,,nlp,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000000,2021-06-26 06:53:29.000000,2020-07-18 00:20:40.000000,4350,452.0,596.0,22744.0,379.0,Library for fast text representation and classification.,58.0,30,True,2020-04-28 09:54:50.000000,0.9.2,35.0,fasttext,conda-forge/fasttext,,,,2125.0,1935.0,https://pypi.org/project/fasttext,2020-04-28 09:54:50.000000,190.0,362865.0,363323.0,https://anaconda.org/conda-forge/fasttext,2020-10-12 14:55:45.199000,20617.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n95,fairseq,pytorch/fairseq,,nlp,https://github.com/pytorch/fairseq,https://github.com/pytorch/fairseq,MIT,2017-08-29 16:26:12.000000,2021-07-07 23:26:47.000000,2021-07-07 23:26:41.000000,3318,857.0,1936.0,13255.0,1944.0,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,338.0,30,True,2021-01-05 20:26:45.000000,0.10.2,13.0,fairseq,,,,['pytorch'],465.0,445.0,https://pypi.org/project/fairseq,2021-01-05 20:26:45.000000,20.0,26845.0,26848.0,,,,,,,,2.0,135.0,,,,,,,,,,,,,,,,,,,,\n96,pyecharts,pyecharts/pyecharts,,data-viz,https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000000,2021-06-10 07:11:57.000000,2021-05-07 10:24:17.000000,2454,20.0,1431.0,11193.0,1515.0,Python Echarts Plotting Library.,30.0,30,True,2020-10-29 15:14:08.000000,1.9.0,66.0,pyecharts,,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,['jupyter'],2002.0,1720.0,https://pypi.org/project/pyecharts,2020-10-29 15:14:08.000000,282.0,59638.0,59638.0,,,,,,,,2.0,,,-1.0,,,,,,,,,,,,,,,,,,\n97,Annoy,spotify/annoy,,nn-search,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40.000000,2021-06-14 13:12:03.000000,2021-06-14 13:12:03.000000,914,37.0,282.0,8700.0,816.0,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,70.0,30,True,2020-09-18 16:07:59.000000,1.17.0,43.0,annoy,,,,,2016.0,1656.0,https://pypi.org/project/annoy,2020-09-18 16:07:59.000000,360.0,565590.0,565590.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n98,glfw,glfw/glfw,,image,https://github.com/glfw/glfw,https://github.com/glfw/glfw,Zlib,2013-04-18 15:24:53.000000,2021-07-08 03:44:23.000000,2021-06-25 18:19:40.000000,2868,456.0,1026.0,7826.0,4261.0,\"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.\",168.0,30,False,2021-04-08 17:55:06.000000,3.3.4,38.0,glfw,conda-forge/glfw,,,,214.0,,https://pypi.org/project/glfw,2021-02-28 20:43:49.000000,214.0,228629.0,260974.0,https://anaconda.org/conda-forge/glfw,2021-04-08 18:43:30.580000,34248.0,,,,,2.0,2368603.0,,,,,,,,,,,,,,,,,,,,\n99,TextBlob,sloria/TextBlob,,nlp,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18.000000,2021-07-06 12:14:08.000000,2021-05-10 13:15:20.000000,995,85.0,151.0,7726.0,535.0,\"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..\",34.0,30,True,2019-02-24 23:03:17.000000,0.15.3,55.0,textblob,conda-forge/textblob,,,,15752.0,13260.0,https://pypi.org/project/textblob,2019-02-24 23:03:17.000000,2492.0,600694.0,602830.0,https://anaconda.org/conda-forge/textblob,2019-02-24 23:32:55.233000,126048.0,,,,,2.0,90.0,,,,,,,,,,,,,,,,,,,,\n100,Vowpal Wabbit,VowpalWabbit/vowpal_wabbit,,ml-frameworks,https://github.com/VowpalWabbit/vowpal_wabbit,https://github.com/VowpalWabbit/vowpal_wabbit,BSD-3-Clause,2009-07-31 19:36:58.000000,2021-07-08 13:05:51.000000,2021-07-08 04:48:08.000000,1747,140.0,925.0,7607.0,9264.0,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,301.0,30,True,2021-06-11 15:35:58.000000,8.10.2,17.0,vowpalwabbit,,,,,163.0,147.0,https://pypi.org/project/vowpalwabbit,2021-06-11 15:35:58.000000,16.0,24545.0,24545.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n101,tensorboardX,lanpa/tensorboardX,,ml-experiments,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19.000000,2021-07-06 17:46:49.000000,2021-06-20 07:06:59.000000,818,68.0,359.0,7019.0,471.0,\"tensorboard for pytorch (and chainer, mxnet, numpy, ...).\",67.0,30,True,2021-04-25 09:18:11.000000,2.2,15.0,tensorboardX,conda-forge/tensorboardx,,,,14438.0,13104.0,https://pypi.org/project/tensorboardX,2021-06-30 12:49:17.000000,1334.0,1107506.0,1117334.0,https://anaconda.org/conda-forge/tensorboardx,2021-04-06 13:33:53.253000,412547.0,,,,,2.0,327.0,,,,,,,,,,,,,,,,,,,,\n102,Catboost,catboost/catboost,,ml-frameworks,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000000,2021-07-08 12:30:55.000000,2021-07-08 12:30:51.000000,897,313.0,1210.0,5939.0,16935.0,\"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..\",820.0,30,True,2021-06-03 23:41:35.000000,0.26,94.0,catboost,conda-forge/catboost,,,,162.0,,https://pypi.org/project/catboost,2021-06-03 22:58:51.000000,162.0,1978605.0,1999383.0,https://anaconda.org/conda-forge/catboost,2021-06-04 00:28:01.925000,740761.0,,,,,2.0,59148.0,,,,,,,,,,,,,,,,,,,,\n103,PyMC3,pymc-devs/pymc3,,probabilistics,https://github.com/pymc-devs/pymc3,https://github.com/pymc-devs/pymc3,Apache-2.0,2009-05-05 09:43:50.000000,2021-07-08 11:40:17.000000,2021-07-07 20:48:33.000000,1371,196.0,2101.0,5885.0,,Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara.,319.0,30,True,2021-03-14 22:31:10.000000,3.11.2,33.0,pymc3,conda-forge/pymc3,,,,3003.0,2717.0,https://pypi.org/project/pymc3,2021-03-14 22:31:10.000000,286.0,551092.0,556291.0,https://anaconda.org/conda-forge/pymc3,2021-06-21 12:14:19.509000,296283.0,,,,,1.0,163.0,,,,,,,,,,,,,,,,,,,,\n104,SpeechRecognition,Uberi/speech_recognition,,audio,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54.000000,2021-07-07 12:44:37.000000,2019-07-02 17:29:47.000000,1937,226.0,275.0,5716.0,360.0,\"Speech recognition module for Python, supporting several engines and APIs, online and offline.\",41.0,30,False,2017-12-05 14:05:14.000000,3.8.1,52.0,SpeechRecognition,conda-forge/speechrecognition,,,,10290.0,9202.0,https://pypi.org/project/SpeechRecognition,2017-12-05 13:58:29.000000,1088.0,208506.0,210518.0,https://anaconda.org/conda-forge/speechrecognition,2021-01-11 17:26:33.040000,118722.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n105,sentence-transformers,UKPLab/sentence-transformers,,nlp,https://github.com/UKPLab/sentence-transformers,https://github.com/UKPLab/sentence-transformers,Apache-2.0,2019-07-24 10:53:51.000000,2021-07-01 11:57:03.000000,2021-07-01 11:57:03.000000,1044,466.0,495.0,5490.0,940.0,Multilingual Sentence & Image Embeddings with BERT.,57.0,30,True,2021-06-24 16:16:11.000000,2.0.0,39.0,sentence-transformers,,,,['pytorch'],1240.0,1240.0,https://pypi.org/project/sentence-transformers,2021-06-24 15:02:44.000000,0.0,502753.0,502753.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n106,PyCaret,pycaret/pycaret,,ml-experiments,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000000,2021-07-08 11:19:39.000000,2021-07-08 02:31:22.000000,831,157.0,796.0,3706.0,1838.0,\"An open-source, low-code machine learning library in Python.\",55.0,30,True,2021-07-07 00:30:24.000000,2.3.2,71.0,pycaret,,,,,1090.0,1090.0,https://pypi.org/project/pycaret,2021-07-07 00:30:24.000000,0.0,84281.0,84315.0,,,,,,,,2.0,419.0,,,,,,,,,,,,,,,,,,,,\n107,Tesseract,madmaze/pytesseract,,ocr,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000000,2021-07-06 18:45:43.000000,2021-07-06 18:45:39.000000,539,10.0,259.0,3673.0,401.0,Python-tesseract is an optical character recognition (OCR) tool for python.,38.0,30,True,2021-06-28 23:00:22.000000,0.3.8,25.0,pytesseract,conda-forge/pytesseract,,,,1428.0,,https://pypi.org/project/pytesseract,2021-06-28 23:00:22.000000,1428.0,1010041.0,1029310.0,https://anaconda.org/conda-forge/pytesseract,2021-06-05 17:42:22.118000,462473.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n108,MLxtend,rasbt/mlxtend,,sklearn-utils,https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16.000000,2021-06-22 07:37:08.000000,2021-06-13 17:49:02.000000,707,95.0,289.0,3555.0,1221.0,A library of extension and helper modules for Python's data analysis and machine learning libraries.,84.0,30,True,2020-11-26 04:18:15.000000,0.18.0,46.0,mlxtend,conda-forge/mlxtend,,,['sklearn'],3800.0,3610.0,https://pypi.org/project/mlxtend,2020-11-26 04:18:15.000000,190.0,899996.0,903618.0,https://anaconda.org/conda-forge/mlxtend,2020-11-26 05:32:00.667000,173902.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n109,tensorflow-probability,tensorflow/probability,,probabilistics,https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000000,2021-07-08 08:02:53.000000,2021-07-08 08:02:50.000000,905,480.0,589.0,3382.0,,Probabilistic reasoning and statistical analysis in TensorFlow.,416.0,30,True,2021-06-18 21:06:22.000000,0.13.0,38.0,tensorflow-probability,conda-forge/tensorflow-probability,,,['tensorflow'],5621.0,5369.0,https://pypi.org/project/tensorflow-probability,2021-06-18 17:30:03.000000,252.0,1521092.0,1522438.0,https://anaconda.org/conda-forge/tensorflow-probability,2021-06-21 12:46:28.642000,39050.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n110,dbt,fishtown-analytics/dbt,,data-pipelines,https://github.com/dbt-labs/dbt,https://github.com/dbt-labs/dbt,Apache-2.0,2016-03-10 02:38:00.000000,2021-07-08 01:08:40.000000,2021-07-07 22:18:26.000000,608,350.0,1655.0,3192.0,2481.0,dbt (data build tool) enables data analysts and engineers to transform their data using the same practices that..,161.0,30,True,2021-06-28 20:37:03.000000,0.19.2,156.0,dbt,conda-forge/dbt,,,,326.0,308.0,https://pypi.org/project/dbt,2021-06-30 16:37:21.000000,18.0,343588.0,346670.0,https://anaconda.org/conda-forge/dbt,2021-05-04 13:04:32.097000,172602.0,,,,,2.0,,,,,,,,,,dbt,,,dbt-labs/dbt,,,,,,,,\n111,torchtext,pytorch/text,,nlp,https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000000,2021-07-08 11:36:34.000000,2021-07-06 16:25:10.000000,648,316.0,324.0,2799.0,839.0,Data loaders and abstractions for text and NLP.,112.0,30,True,2021-06-15 16:03:12.000000,0.10.0,15.0,torchtext,,,,['pytorch'],5718.0,5036.0,https://pypi.org/project/torchtext,2021-06-15 15:32:07.000000,682.0,155135.0,155135.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n112,PyQtGraph,pyqtgraph/pyqtgraph,,data-viz,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21.000000,2021-07-08 08:19:30.000000,2021-07-08 07:33:07.000000,825,279.0,590.0,2470.0,2870.0,Fast data visualization and GUI tools for scientific / engineering applications.,200.0,30,True,2021-07-08 07:34:18.000000,pyqtgraph-0.12.2,15.0,pyqtgraph,conda-forge/pyqtgraph,,,,890.0,,https://pypi.org/project/pyqtgraph,2021-07-08 08:19:30.000000,890.0,72284.0,75707.0,https://anaconda.org/conda-forge/pyqtgraph,2021-04-07 05:35:51.854000,184846.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n113,AzureML SDK,Azure/MachineLearningNotebooks,,ml-experiments,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000000,2021-07-06 18:05:55.000000,2021-07-06 18:05:55.000000,1787,171.0,963.0,2377.0,1138.0,Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft.,56.0,30,True,2021-06-21 16:39:13.000000,1.31.0,78.0,azureml-sdk,,,,,60.0,,https://pypi.org/project/azureml-sdk,2021-07-06 16:18:52.000000,60.0,653985.0,653997.0,,,,,,,,2.0,425.0,,,,,,,,,,,,,,,,,,,,\n114,scikit-optimize,scikit-optimize/scikit-optimize,,hyperopt,https://github.com/scikit-optimize/scikit-optimize,https://github.com/scikit-optimize/scikit-optimize,BSD-3-Clause,2016-03-20 21:10:54.000000,2021-06-22 12:20:42.000000,2021-06-22 12:20:42.000000,396,205.0,372.0,2130.0,1562.0,Sequential model-based optimization with a `scipy.optimize` interface.,74.0,30,True,2020-09-04 09:08:10.000000,0.8.1,22.0,scikit-optimize,conda-forge/scikit-optimize,,,,1943.0,1783.0,https://pypi.org/project/scikit-optimize,2020-09-04 09:08:10.000000,160.0,908081.0,915044.0,https://anaconda.org/conda-forge/scikit-optimize,2020-09-04 09:50:52.372000,334264.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n115,xarray,pydata/xarray,,data-containers,https://github.com/pydata/xarray,https://github.com/pydata/xarray,Apache-2.0,2013-09-30 17:21:10.000000,2021-07-08 11:06:15.000000,2021-07-05 17:24:26.000000,677,832.0,2103.0,2114.0,,N-D labeled arrays and datasets in Python.,325.0,30,True,2021-05-19 21:37:33.000000,0.18.2,59.0,xarray,conda-forge/xarray,,,,7926.0,6794.0,https://pypi.org/project/xarray,2021-05-19 21:37:33.000000,1132.0,964922.0,1017849.0,https://anaconda.org/conda-forge/xarray,2021-05-20 01:43:54.980000,3387383.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n116,Geocoder,DenisCarriere/geocoder,,geospatial-data,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21.000000,2020-12-30 04:09:42.000000,2018-10-12 15:53:05.000000,260,90.0,217.0,1371.0,1251.0,Python Geocoder.,74.0,30,False,2018-04-04 12:34:51.000000,1.38.1,108.0,geocoder,conda-forge/geocoder,,,,4407.0,3563.0,https://pypi.org/project/geocoder,2018-04-04 12:34:51.000000,844.0,1726152.0,1727853.0,https://anaconda.org/conda-forge/geocoder,2019-06-27 16:40:50.469000,90201.0,,,,,2.0,,,,,,,,,,,,,,geocoder,,,,,,,\n117,torchaudio,pytorch/audio,,audio,https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000000,2021-07-08 11:33:14.000000,2021-07-07 21:13:04.000000,325,155.0,350.0,1363.0,915.0,\"Data manipulation and transformation for audio signal processing, powered by PyTorch.\",130.0,30,True,2021-06-15 15:32:33.000000,0.9.0,15.0,torchaudio,,,,['pytorch'],3955.0,3937.0,https://pypi.org/project/torchaudio,2021-06-15 15:29:03.000000,18.0,271109.0,271109.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n118,Bottleneck,pydata/bottleneck,,data-containers,https://github.com/pydata/bottleneck,https://github.com/pydata/bottleneck,BSD-2-Clause,2010-11-27 23:21:22.000000,2021-06-02 16:55:46.000000,2021-01-24 18:39:03.000000,73,33.0,177.0,625.0,1241.0,Fast NumPy array functions written in C.,21.0,30,True,2020-02-21 06:22:16.000000,1.3.2,21.0,Bottleneck,conda-forge/bottleneck,,,,26420.0,23528.0,https://pypi.org/project/Bottleneck,2020-02-21 06:22:16.000000,2892.0,617788.0,643663.0,https://anaconda.org/conda-forge/bottleneck,2021-01-21 02:48:32.623000,1604264.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n119,snowballstemmer,snowballstem/snowball,,nlp,https://github.com/snowballstem/snowball,https://github.com/snowballstem/snowball,BSD-3-Clause,2013-02-23 07:17:42.000000,2021-05-31 05:45:18.000000,2021-05-31 05:42:16.000000,142,19.0,43.0,502.0,853.0,Snowball compiler and stemming algorithms.,26.0,30,True,2021-01-21 11:43:00.000000,2.1.0,9.0,snowballstemmer,conda-forge/snowballstemmer,,,,65486.0,52304.0,https://pypi.org/project/snowballstemmer,2021-01-21 11:43:00.000000,13182.0,5380837.0,5427325.0,https://anaconda.org/conda-forge/snowballstemmer,2021-01-21 23:16:54.597000,2742837.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n120,detectron2,facebookresearch/detectron2,,image,https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000000,2021-07-08 03:17:43.000000,2021-07-08 01:25:37.000000,4455,113.0,2415.0,17135.0,1183.0,\"Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.\",167.0,29,True,2021-03-13 01:36:49.000000,0.4,8.0,,conda-forge/detectron2,,,['pytorch'],264.0,264.0,,,,,1736.0,https://anaconda.org/conda-forge/detectron2,2021-06-14 12:33:25.167000,24316.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n121,zipline,quantopian/zipline,,financial-data,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29.000000,2021-04-18 22:05:29.000000,2020-10-14 16:36:49.000000,4056,342.0,651.0,14150.0,6226.0,\"Zipline, a Pythonic Algorithmic Trading Library.\",152.0,29,True,2020-10-05 15:46:20.429000,1.4.1,30.0,zipline,,,,,901.0,743.0,https://pypi.org/project/zipline,2020-10-05 15:46:20.429000,158.0,5767.0,5767.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n122,Faiss,facebookresearch/faiss,,nn-search,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000000,2021-07-08 13:29:23.000000,2021-07-07 10:29:49.000000,2217,149.0,1388.0,14030.0,556.0,A library for efficient similarity search and clustering of dense vectors.,86.0,29,True,2021-06-09 09:16:17.000000,1.1.2,50.0,pymilvus,conda-forge/faiss,,,,426.0,420.0,https://pypi.org/project/pymilvus,2021-06-28 10:17:14.000000,6.0,18718.0,28234.0,https://anaconda.org/conda-forge/faiss,2021-04-19 13:07:02.042000,133229.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n123,Prophet,facebook/prophet,,time-series-data,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000000,2021-06-01 09:55:36.000000,2021-05-11 23:44:25.000000,3711,99.0,1539.0,12995.0,667.0,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,132.0,29,True,2021-04-02 23:45:16.000000,1.0,14.0,fbprophet,,,,,150.0,,https://pypi.org/project/fbprophet,2020-09-05 16:12:50.000000,150.0,919735.0,919746.0,,,,,,,,1.0,607.0,,,,,,,,,,,,,,,,,,,,\n124,EasyOCR,JaidedAI/EasyOCR,,ocr,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000000,2021-07-04 13:16:58.000000,2021-07-02 08:46:59.000000,1406,107.0,249.0,11971.0,422.0,\"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..\",80.0,29,True,2021-06-29 09:44:35.000000,1.4,23.0,easyocr,,,,,340.0,340.0,https://pypi.org/project/easyocr,2021-05-30 08:55:54.000000,0.0,50493.0,78523.0,,,,,,,,1.0,364400.0,,,,,,,,,,,,,,,,,,,,\n125,PyTorch Geometric,rusty1s/pytorch_geometric,,graph,https://github.com/rusty1s/pytorch_geometric,https://github.com/rusty1s/pytorch_geometric,MIT,2017-10-06 16:03:03.000000,2021-07-08 05:33:21.000000,2021-07-08 05:33:18.000000,1967,785.0,1276.0,11455.0,4833.0,Geometric Deep Learning Extension Library for PyTorch.,179.0,29,True,2021-06-26 08:51:08.000000,1.7.2,28.0,torch-geometric,,,,['pytorch'],24.0,,https://pypi.org/project/torch-geometric,2021-06-26 08:51:08.000000,24.0,43213.0,43213.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n126,PyTorch Image Models,rwightman/pytorch-image-models,,image,https://github.com/rwightman/pytorch-image-models,https://github.com/rwightman/pytorch-image-models,Apache-2.0,2019-02-02 05:51:12.000000,2021-07-07 12:38:38.000000,2021-07-06 04:22:46.000000,1693,38.0,309.0,11445.0,1003.0,\"PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision..\",50.0,29,True,2021-06-30 16:35:55.000000,0.4.12,25.0,,,,,['pytorch'],769.0,769.0,,,,,17809.0,,,,,,,,2.0,463051.0,,,,,,,,,,,,,,,,,,,,\n127,horovod,horovod/horovod,,distributed-ml,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000000,2021-07-08 07:39:35.000000,2021-07-07 20:14:40.000000,1863,248.0,1580.0,11401.0,988.0,\"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.\",124.0,29,True,2021-06-10 15:58:27.000000,0.22.1,66.0,horovod,,,,,432.0,392.0,https://pypi.org/project/horovod,2021-06-10 15:58:27.000000,40.0,46543.0,46543.0,,,,,,,,2.0,,stable/horovod,,,,,,,,,,,,,,,,,,,\n128,TFlearn,tflearn/tflearn,,ml-frameworks,https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,MIT,2016-03-31 12:05:53.000000,2021-01-25 09:41:59.000000,2020-11-30 04:34:51.000000,2429,563.0,362.0,9557.0,613.0,Deep learning library featuring a higher-level API for TensorFlow.,128.0,29,True,2020-11-11 19:26:11.000000,0.5.0,8.0,tflearn,,,,['tensorflow'],4357.0,3395.0,https://pypi.org/project/tflearn,2020-11-11 19:13:47.000000,962.0,28286.0,28286.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n129,Dopamine,google/dopamine,,reinforcement-learning,https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36.000000,2021-06-29 21:40:57.000000,2021-06-29 21:35:04.000000,1265,77.0,79.0,9461.0,241.0,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,14.0,29,True,2021-06-29 21:40:57.000000,3.2.1,39.0,dopamine-rl,,,,['tensorflow'],62.0,,https://pypi.org/project/dopamine-rl,2021-06-29 21:40:57.000000,62.0,1429322.0,1429322.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n130,Lime,marcotcr/lime,,interpretability,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10.000000,2021-06-09 19:11:03.000000,2021-06-09 19:11:03.000000,1404,63.0,508.0,8922.0,526.0,Lime: Explaining the predictions of any machine learning classifier.,60.0,29,True,2020-04-03 22:05:03.000000,0.2.0.0,38.0,lime,conda-forge/lime,,,,1500.0,1372.0,https://pypi.org/project/lime,2020-06-26 21:38:15.000000,128.0,329503.0,330885.0,https://anaconda.org/conda-forge/lime,2020-06-28 01:02:41.538000,76043.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n131,Sonnet,deepmind/sonnet,,ml-frameworks,https://github.com/deepmind/sonnet,https://github.com/deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35.000000,2021-06-18 19:02:40.000000,2021-06-18 19:02:30.000000,1271,19.0,140.0,8891.0,545.0,TensorFlow-based neural network library.,52.0,29,True,2020-03-27 10:36:19.000000,2.0.0,27.0,dm-sonnet,conda-forge/sonnet,,,['tensorflow'],697.0,615.0,https://pypi.org/project/dm-sonnet,2020-03-27 10:36:10.000000,82.0,286646.0,287158.0,https://anaconda.org/conda-forge/sonnet,2020-11-14 18:13:23.843000,10249.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n132,TPOT,EpistasisLab/tpot,,hyperopt,https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40.000000,2021-07-01 15:13:10.000000,2021-01-06 15:17:46.000000,1404,223.0,598.0,8107.0,2368.0,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,108.0,29,False,2021-01-06 15:20:08.000000,0.11.7,60.0,tpot,conda-forge/tpot,,,['sklearn'],1137.0,1057.0,https://pypi.org/project/tpot,2021-01-06 15:20:08.000000,80.0,21726.0,23865.0,https://anaconda.org/conda-forge/tpot,2021-03-05 04:04:38.005000,124094.0,,,,,1.0,,,2.0,,,,,,,,,,,,,,,,,,\n133,pretrainedmodels,Cadene/pretrained-models.pytorch,,pytorch-utils,https://github.com/Cadene/pretrained-models.pytorch,https://github.com/Cadene/pretrained-models.pytorch,BSD-3-Clause,2017-04-09 15:54:23.000000,2021-06-21 20:44:46.000000,2020-04-16 08:02:22.000000,1686,90.0,88.0,8049.0,154.0,\"Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.\",22.0,29,False,2018-10-29 08:18:45.000000,0.7.4,16.0,pretrainedmodels,,,,['pytorch'],1206.0,1102.0,https://pypi.org/project/pretrainedmodels,2018-10-29 08:18:45.000000,104.0,70938.0,70938.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n134,AutoKeras,keras-team/autokeras,,hyperopt,https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20.000000,2021-06-30 04:23:13.000000,2021-06-30 04:19:22.000000,1297,62.0,696.0,8037.0,1262.0,AutoML library for deep learning.,129.0,29,True,2021-06-17 22:35:58.000000,1.0.15,49.0,autokeras,,,,['tensorflow'],214.0,200.0,https://pypi.org/project/autokeras,2021-06-17 22:35:58.000000,14.0,27275.0,27281.0,,,,,,,,1.0,298.0,,,,,,,,,,,,,,,,,,,,\n135,Modin,modin-project/modin,,data-containers,https://github.com/modin-project/modin,https://github.com/modin-project/modin,Apache-2.0,2018-06-21 21:35:05.000000,2021-07-08 14:39:19.000000,2021-07-08 08:28:51.000000,438,579.0,1288.0,6202.0,1428.0,Modin: Speed up your Pandas workflows by changing a single line of code.,77.0,29,True,2021-06-10 01:22:43.000000,0.10.0,38.0,modin,,,,['pandas'],421.0,403.0,https://pypi.org/project/modin,2021-06-10 01:22:43.000000,18.0,124184.0,129616.0,,,,,,,,2.0,195583.0,,,,,,,,,,,,,,,,,,,,\n136,tensorpack,tensorpack/tensorpack,,ml-frameworks,https://github.com/tensorpack/tensorpack,https://github.com/tensorpack/tensorpack,Apache-2.0,2015-12-25 23:08:44.000000,2021-06-16 07:40:50.000000,2021-06-16 07:40:50.000000,1792,11.0,1320.0,6044.0,2934.0,\"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.\",56.0,29,True,2020-04-24 19:01:06.000000,0.10.1,37.0,tensorpack,,,,['tensorflow'],890.0,814.0,https://pypi.org/project/tensorpack,2021-01-22 08:44:03.000000,76.0,18589.0,18591.0,,,,,,,,2.0,122.0,,,,,,,,,,,,,,,,,,,,\n137,faust,robinhood/faust,,data-pipelines,https://github.com/robinhood/faust,https://github.com/robinhood/faust,BSD-3-Clause,2017-03-08 18:36:11.000000,2021-06-24 17:38:27.000000,2020-10-09 12:59:42.000000,469,236.0,228.0,5639.0,4137.0,Python Stream Processing.,91.0,29,True,2020-02-25 22:57:18.000000,1.10.4,46.0,faust,,,,,820.0,792.0,https://pypi.org/project/faust,2020-02-25 22:57:18.000000,28.0,1155289.0,1155289.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n138,Autograd,HIPS/autograd,,others,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23.000000,2021-04-22 18:19:00.000000,2021-03-03 09:27:58.000000,754,164.0,218.0,5315.0,1376.0,Efficiently computes derivatives of numpy code.,51.0,29,True,2017-08-24 17:00:41.000000,1.1.13,24.0,autograd,conda-forge/autograd,,,,2501.0,2157.0,https://pypi.org/project/autograd,2019-07-25 16:21:07.000000,344.0,1025633.0,1028641.0,https://anaconda.org/conda-forge/autograd,2019-07-25 18:29:55.493000,177523.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n139,yfinance,ranaroussi/yfinance,,financial-data,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000000,2021-07-08 08:30:37.166000,2021-07-08 08:25:29.000000,1290,317.0,258.0,5281.0,,Yahoo! Finance market data downloader (+faster Pandas Datareader).,41.0,29,True,2021-07-08 08:29:31.000000,0.1.61,26.0,yfinance,ranaroussi/yfinance,,,,5540.0,5514.0,https://pypi.org/project/yfinance,2021-07-08 08:29:31.000000,26.0,276477.0,276681.0,https://anaconda.org/ranaroussi/yfinance,2021-07-08 08:30:37.166000,204.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n140,Datasette,simonw/datasette,,others,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000000,2021-07-02 17:33:17.000000,2021-07-02 17:33:03.000000,321,280.0,820.0,5213.0,1684.0,An open source multi-tool for exploring and publishing data.,55.0,29,True,2021-06-08 16:35:13.000000,0.57.1,99.0,datasette,,,,,512.0,442.0,https://pypi.org/project/datasette,2021-06-24 16:36:02.000000,70.0,114704.0,114704.0,,,,,,,,1.0,31.0,,,,,,,,,datasette,,,,,,,,,,,\n141,Bayesian Optimization,fmfn/BayesianOptimization,,hyperopt,https://github.com/fmfn/BayesianOptimization,https://github.com/fmfn/BayesianOptimization,MIT,2014-06-06 08:18:56.000000,2021-05-01 01:55:39.000000,2020-12-19 01:11:23.000000,1129,42.0,168.0,5212.0,199.0,A Python implementation of global optimization with gaussian processes.,27.0,29,True,2020-05-16 16:03:51.000000,1.2.0,8.0,bayesian-optimization,,,,,885.0,793.0,https://pypi.org/project/bayesian-optimization,2020-05-16 15:56:09.000000,92.0,115001.0,115002.0,,,,,,,,1.0,60.0,,,,,,,,,,,,,,,,,,,,\n142,GluonCV,dmlc/gluon-cv,,image,https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21.000000,2021-07-08 09:00:52.000000,2021-06-14 15:04:38.000000,1099,63.0,712.0,4809.0,872.0,Gluon CV Toolkit.,114.0,29,True,2021-06-15 21:17:32.000000,0.10.3,1146.0,gluoncv,,,,['mxnet'],567.0,537.0,https://pypi.org/project/gluoncv,2021-07-08 09:00:52.000000,30.0,378215.0,378215.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n143,TinyDB,msiemens/tinydb,,data-containers,https://github.com/msiemens/tinydb,https://github.com/msiemens/tinydb,MIT,2013-07-12 23:31:13.000000,2021-07-07 17:25:59.000000,2021-06-28 13:58:16.000000,389,12.0,254.0,4423.0,628.0,TinyDB is a lightweight document oriented database optimized for your happiness :).,67.0,29,True,2021-06-26 16:41:50.000000,4.5.0,60.0,tinydb,conda-forge/tinydb,,,,1118.0,,https://pypi.org/project/tinydb,2021-06-26 16:41:47.000000,1118.0,266641.0,268709.0,https://anaconda.org/conda-forge/tinydb,2021-02-11 21:20:33.462000,126196.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n144,Kornia,kornia/kornia,,image,https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000000,2021-07-08 08:02:33.000000,2021-07-08 08:02:32.000000,410,101.0,326.0,4228.0,1679.0,Open Source Differentiable Computer Vision Library for PyTorch.,110.0,29,True,2021-06-27 21:08:30.000000,0.5.5,18.0,kornia,,,,['pytorch'],484.0,484.0,https://pypi.org/project/kornia,2021-06-27 21:08:30.000000,0.0,143213.0,143214.0,,,,,,,,2.0,49.0,,,,,,,,,,,,,,,,,,,,\n145,kaggle,Kaggle/kaggle-api,,ml-experiments,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000000,2021-07-01 04:23:38.000000,2021-03-15 15:49:05.000000,808,177.0,126.0,4140.0,145.0,Official Kaggle API.,36.0,29,True,2021-03-13 00:50:03.000000,1.5.12,48.0,kaggle,conda-forge/kaggle,,,,6471.0,5907.0,https://pypi.org/project/kaggle,2021-03-13 00:50:03.000000,564.0,197560.0,199995.0,https://anaconda.org/conda-forge/kaggle,2021-03-16 16:09:03.613000,63322.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n146,Kedro,quantumblacklabs/kedro,,data-pipelines,https://github.com/quantumblacklabs/kedro,https://github.com/quantumblacklabs/kedro,Apache-2.0,2019-04-18 10:29:56.000000,2021-07-07 21:10:09.000000,2021-07-07 12:16:49.000000,466,38.0,462.0,4064.0,1266.0,\"A Python framework for creating reproducible, maintainable and modular data science code.\",113.0,29,True,2021-06-16 09:10:32.000000,0.17.4,28.0,kedro,,,,,523.0,507.0,https://pypi.org/project/kedro,2021-06-16 09:10:32.000000,16.0,236537.0,236537.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n147,Ignite,pytorch/ignite,,ml-frameworks,https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000000,2021-07-08 09:22:44.000000,2021-07-04 13:12:01.000000,464,128.0,746.0,3605.0,1157.0,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,143.0,29,True,2021-06-24 22:53:22.000000,0.4.5,610.0,pytorch-ignite,pytorch/ignite,,,['pytorch'],1027.0,965.0,https://pypi.org/project/pytorch-ignite,2021-07-08 00:10:12.000000,62.0,56249.0,57921.0,https://anaconda.org/pytorch/ignite,2021-06-24 22:54:30.068000,61873.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n148,Dagster,dagster-io/dagster,,data-pipelines,https://github.com/dagster-io/dagster,https://github.com/dagster-io/dagster,Apache-2.0,2018-04-30 16:30:04.000000,2021-07-08 15:08:16.000000,2021-07-08 15:07:42.000000,393,633.0,2401.0,3536.0,8063.0,\"A data orchestrator for machine learning, analytics, and ETL.\",147.0,29,True,2021-07-02 17:47:04.000000,0.11.16,339.0,dagster,conda-forge/dagster,,,,195.0,191.0,https://pypi.org/project/dagster,2021-07-02 17:07:46.000000,4.0,297472.0,312977.0,https://anaconda.org/conda-forge/dagster,2021-06-25 19:36:19.719000,310100.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n149,Dedupe,dedupeio/dedupe,,nlp,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36.000000,2021-07-04 15:24:46.000000,2021-06-09 23:50:33.000000,433,63.0,586.0,3074.0,2823.0,\"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.\",56.0,29,True,2021-04-17 00:35:34.000000,2.0.8,159.0,dedupe,,,,,271.0,193.0,https://pypi.org/project/dedupe,2021-04-17 00:35:34.000000,78.0,99609.0,99609.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n150,ftfy,LuminosoInsight/python-ftfy,,nlp,https://github.com/LuminosoInsight/python-ftfy,https://github.com/LuminosoInsight/python-ftfy,MIT,2012-08-24 16:14:59.000000,2021-05-25 06:35:21.702000,2021-05-17 19:04:10.000000,102,13.0,106.0,2992.0,590.0,\"Fixes mojibake and other glitches in Unicode text, after the fact.\",18.0,29,True,2021-05-24 05:17:15.000000,6.0.3,45.0,ftfy,conda-forge/ftfy,,,,4262.0,3502.0,https://pypi.org/project/ftfy,2021-05-24 05:17:15.000000,760.0,1063924.0,1066126.0,https://anaconda.org/conda-forge/ftfy,2021-05-25 06:35:21.702000,112320.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n151,Koalas,databricks/koalas,,data-containers,https://github.com/databricks/koalas,https://github.com/databricks/koalas,Apache-2.0,2019-01-03 21:46:54.000000,2021-06-18 20:03:35.848000,2021-06-18 16:22:43.000000,317,121.0,449.0,2863.0,1542.0,Koalas: pandas API on Apache Spark.,50.0,29,True,2021-06-18 16:33:05.000000,1.8.1,46.0,koalas,conda-forge/koalas,,,\"['spark', 'pandas']\",105.0,103.0,https://pypi.org/project/koalas,2021-06-18 16:33:05.000000,2.0,3242318.0,3245899.0,https://anaconda.org/conda-forge/koalas,2021-06-18 20:03:35.848000,92197.0,,,,,2.0,996.0,,,,,,,,,,,,,,,,,,,,\n152,missingno,ResidentMario/missingno,,data-viz,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50.000000,2021-07-04 16:12:30.000000,2021-07-04 16:09:34.000000,371,9.0,101.0,2823.0,180.0,Missing data visualization module for Python.,17.0,29,True,2021-07-04 16:12:30.000000,0.5.0,24.0,missingno,conda-forge/missingno,,,,4411.0,4259.0,https://pypi.org/project/missingno,2021-07-04 16:12:30.000000,152.0,421993.0,424180.0,https://anaconda.org/conda-forge/missingno,2020-02-15 10:07:41.253000,105002.0,,,,,2.0,,,2.0,,,,,,,,,,,,,,,,,,\n153,mrjob,Yelp/mrjob,,data-pipelines,https://github.com/Yelp/mrjob,https://github.com/Yelp/mrjob,Apache-2.0,2010-10-13 18:35:21.000000,2021-03-31 18:37:58.000000,2020-11-16 22:20:52.000000,590,202.0,1091.0,2552.0,8622.0,Run MapReduce jobs on Hadoop or Amazon Web Services.,142.0,29,True,2020-09-17 22:26:01.000000,0.7.4,60.0,mrjob,conda-forge/mrjob,,,,889.0,777.0,https://pypi.org/project/mrjob,2020-09-17 22:26:01.000000,112.0,113452.0,119875.0,https://anaconda.org/conda-forge/mrjob,2020-12-24 22:44:29.424000,372548.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n154,NMSLIB,nmslib/nmslib,,nn-search,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06.000000,2021-07-08 03:48:42.000000,2021-06-01 18:52:34.000000,351,47.0,330.0,2461.0,1505.0,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,44.0,29,True,2021-02-03 16:40:09.000000,2.1.1,32.0,nmslib,conda-forge/nmslib,,,,471.0,419.0,https://pypi.org/project/nmslib,2021-02-03 00:02:08.000000,52.0,89392.0,91686.0,https://anaconda.org/conda-forge/nmslib,2021-01-08 16:19:07.762000,34422.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n155,GPyTorch,cornellius-gp/gpytorch,,probabilistics,https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000000,2021-07-05 15:36:22.000000,2021-07-01 20:48:05.000000,356,215.0,725.0,2447.0,3456.0,A highly efficient and modular implementation of Gaussian Processes in PyTorch.,84.0,29,True,2021-06-24 16:29:38.000000,1.5.0,29.0,gpytorch,,,,['pytorch'],345.0,337.0,https://pypi.org/project/gpytorch,2021-06-24 16:29:38.000000,8.0,79227.0,79227.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n156,Keras Tuner,keras-team/keras-tuner,,hyperopt,https://github.com/keras-team/keras-tuner,https://github.com/keras-team/keras-tuner,Apache-2.0,2019-06-06 22:38:21.000000,2021-07-03 15:32:15.000000,2021-06-25 17:21:23.000000,290,174.0,165.0,2341.0,826.0,Hyperparameter tuning for humans.,35.0,29,True,2021-06-17 21:45:06.000000,1.0.3,6.0,keras-tuner,,,,['tensorflow'],709.0,705.0,https://pypi.org/project/keras-tuner,2021-06-17 21:45:06.000000,4.0,712010.0,712010.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n157,hmmlearn,hmmlearn/hmmlearn,,probabilistics,https://github.com/hmmlearn/hmmlearn,https://github.com/hmmlearn/hmmlearn,BSD-3-Clause,2014-03-23 10:33:09.000000,2021-07-08 13:27:20.000000,2021-07-08 13:27:01.000000,660,59.0,297.0,2288.0,366.0,\"Hidden Markov Models in Python, with scikit-learn like API.\",34.0,29,True,2021-02-03 14:33:20.000000,0.2.5,7.0,hmmlearn,conda-forge/hmmlearn,,,['sklearn'],1227.0,1021.0,https://pypi.org/project/hmmlearn,2021-02-03 14:32:44.000000,206.0,117492.0,120238.0,https://anaconda.org/conda-forge/hmmlearn,2021-02-04 16:23:17.046000,87890.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n158,HoloViews,holoviz/holoviews,,data-viz,https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000000,2021-07-08 13:58:06.000000,2021-07-08 13:58:05.000000,316,742.0,1865.0,1931.0,10208.0,\"With Holoviews, your data visualizes itself.\",109.0,29,True,2021-05-22 18:09:55.000000,1.14.4,71.0,holoviews,conda-forge/holoviews,,,['jupyter'],170.0,,https://pypi.org/project/holoviews,2021-05-22 18:09:55.000000,170.0,128341.0,141767.0,https://anaconda.org/conda-forge/holoviews,2021-05-23 10:56:39.974000,526479.0,,,,,2.0,,,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,2020-05-24 13:49:54.205000,,4935.0,,,,,,,,,,,,,\n159,Flax,google/flax,,ml-frameworks,https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000000,2021-07-08 13:16:13.000000,2021-07-06 12:56:19.000000,215,159.0,218.0,1922.0,2070.0,Flax is a neural network library for JAX that is designed for flexibility.,97.0,29,True,2021-05-18 11:27:56.000000,0.3.4,13.0,flax,,,,['jax'],262.0,256.0,https://pypi.org/project/flax,2021-05-18 11:27:56.000000,6.0,309979.0,309980.0,,,,,,,,2.0,23.0,,,,,,,,,,,,,,,,,,,,\n160,filterpy,rlabbe/filterpy,,probabilistics,https://github.com/rlabbe/filterpy,https://github.com/rlabbe/filterpy,MIT,2014-07-15 02:15:19.000000,2021-07-02 13:32:11.000000,2021-05-04 18:33:52.000000,433,34.0,151.0,1864.0,542.0,\"Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman..\",36.0,29,True,2018-10-10 22:38:24.000000,1.4.5,48.0,filterpy,conda-forge/filterpy,,,,1136.0,924.0,https://pypi.org/project/filterpy,2018-10-10 22:38:24.000000,212.0,564720.0,566031.0,https://anaconda.org/conda-forge/filterpy,2020-05-05 21:13:59.073000,64251.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n161,Lifelines,CamDavidsonPilon/lifelines,,medical-data,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42.000000,2021-06-09 19:49:30.000000,2021-06-09 19:49:30.000000,429,204.0,604.0,1650.0,2125.0,Survival analysis in Python.,96.0,29,True,2021-05-27 00:34:08.000000,0.26.0,157.0,lifelines,conda-forge/lifelines,,,,739.0,613.0,https://pypi.org/project/lifelines,2021-05-27 00:34:08.000000,126.0,248631.0,251159.0,https://anaconda.org/conda-forge/lifelines,2021-05-27 04:55:00.431000,154249.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n162,pyLDAvis,bmabey/pyLDAvis,,interpretability,https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03.000000,2021-06-24 14:14:46.000000,2021-03-24 13:03:31.000000,309,76.0,76.0,1482.0,240.0,Python library for interactive topic model visualization. Port of the R LDAvis package.,32.0,29,True,2021-03-24 13:05:21.000000,3.3.1,24.0,pyldavis,conda-forge/pyldavis,,,['jupyter'],2563.0,2365.0,https://pypi.org/project/pyldavis,2021-03-24 12:57:08.000000,198.0,194122.0,194825.0,https://anaconda.org/conda-forge/pyldavis,2021-03-24 15:17:07.309000,26037.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n163,ipyleaflet,jupyter-widgets/ipyleaflet,,geospatial-data,https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10.000000,2021-06-17 16:32:56.948000,2021-06-17 15:55:14.000000,300,165.0,264.0,1147.0,943.0,A Jupyter - Leaflet.js bridge.,67.0,29,True,2021-06-17 16:00:18.000000,0.14.0,71.0,ipyleaflet,conda-forge/ipyleaflet,,,['jupyter'],1011.0,911.0,https://pypi.org/project/ipyleaflet,2021-06-17 16:00:18.000000,98.0,44512.0,80341.0,https://anaconda.org/conda-forge/ipyleaflet,2021-06-17 16:32:56.948000,710108.0,,,,,3.0,,,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2021-06-17 15:58:50.351000,2.0,24376.0,,,,,,,,,,,,,\n164,Graphviz,xflr6/graphviz,,data-viz,https://github.com/xflr6/graphviz,https://github.com/xflr6/graphviz,MIT,2014-01-12 17:49:29.000000,2021-06-10 20:37:39.000000,2021-05-15 13:01:47.000000,148,9.0,103.0,1018.0,471.0,Simple Python interface for Graphviz.,15.0,29,True,2020-10-07 09:06:41.000000,0.14.2,47.0,graphviz,,,,,26202.0,21820.0,https://pypi.org/project/graphviz,2020-12-24 16:17:24.000000,4382.0,5433895.0,5433895.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n165,snakemake,snakemake/snakemake,,ml-experiments,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867000,2021-07-08 11:48:58.000000,2021-07-06 20:00:44.000000,228,415.0,257.0,1016.0,4056.0,\"This is the development home of the workflow management system Snakemake. For general information, see.\",204.0,29,True,2021-07-06 20:01:32.000000,6.5.3,179.0,snakemake,bioconda/snakemake,,,,1138.0,850.0,https://pypi.org/project/snakemake,2021-07-06 20:02:14.000000,288.0,20945.0,25440.0,https://anaconda.org/bioconda/snakemake,2021-07-07 09:58:59.737000,310160.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n166,Keras-Preprocessing,keras-team/keras-preprocessing,,tensorflow-utils,https://github.com/keras-team/keras-preprocessing,https://github.com/keras-team/keras-preprocessing,MIT,2018-05-30 22:43:36.000000,2021-07-02 00:20:02.000000,2021-02-04 19:43:30.000000,420,93.0,100.0,963.0,284.0,\"Utilities for working with image data, text data, and sequence data.\",50.0,29,True,2020-05-14 03:53:47.000000,1.1.2,12.0,keras-preprocessing,conda-forge/keras-preprocessing,,,['tensorflow'],2736.0,,https://pypi.org/project/keras-preprocessing,2020-05-14 03:53:47.000000,2736.0,6185419.0,6212311.0,https://anaconda.org/conda-forge/keras-preprocessing,2021-01-15 12:28:58.923000,995011.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n167,TensorFlow Transform,tensorflow/transform,,tensorflow-utils,https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53.000000,2021-07-01 22:38:06.000000,2021-07-01 22:38:01.000000,172,21.0,144.0,877.0,669.0,Input pipeline framework.,27.0,29,True,2021-06-24 21:10:56.000000,1.1.0,39.0,tensorflow-transform,,,,['tensorflow'],584.0,500.0,https://pypi.org/project/tensorflow-transform,2021-06-24 21:10:56.000000,84.0,6928041.0,6928041.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n168,patsy,pydata/patsy,,probabilistics,https://github.com/pydata/patsy,https://github.com/pydata/patsy,BSD-2-Clause,2012-07-10 12:30:06.000000,2021-05-04 21:33:59.000000,2018-10-31 21:55:48.000000,85,78.0,53.0,760.0,517.0,Describing statistical models in Python using symbolic formulas.,13.0,29,False,2018-10-28 05:07:55.000000,0.5.1,8.0,patsy,conda-forge/patsy,,,,42034.0,37110.0,https://pypi.org/project/patsy,2018-10-28 03:59:51.000000,4924.0,3747628.0,3802037.0,https://anaconda.org/conda-forge/patsy,2018-10-28 05:21:35.412000,3210138.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n169,NIPYPE,nipy/nipype,,medical-data,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000000,2021-06-29 15:48:54.000000,2021-06-16 13:16:05.000000,456,337.0,883.0,574.0,14191.0,Workflows and interfaces for neuroimaging packages.,219.0,29,True,2020-11-28 17:23:30.000000,1.6.0,55.0,nipype,conda-forge/nipype,,,,843.0,651.0,https://pypi.org/project/nipype,2021-06-16 13:18:05.000000,192.0,55591.0,62603.0,https://anaconda.org/conda-forge/nipype,2020-11-28 17:44:51.813000,420777.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n170,NiBabel,nipy/nibabel,,medical-data,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30.000000,2021-06-25 19:40:13.000000,2021-06-25 19:40:13.000000,214,112.0,301.0,422.0,5037.0,Python package to access a cacophony of neuro-imaging file formats.,92.0,29,True,2020-11-28 22:19:50.000000,3.2.1,32.0,nibabel,conda-forge/nibabel,,,,6061.0,4797.0,https://pypi.org/project/nibabel,2020-11-28 22:18:23.000000,1264.0,148069.0,153787.0,https://anaconda.org/conda-forge/nibabel,2020-11-29 03:40:05.178000,354566.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n171,Rasa,RasaHQ/rasa,,nlp,https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49.000000,2021-07-08 13:52:41.000000,2021-07-08 12:10:07.000000,3525,669.0,4910.0,11664.0,,\"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..\",497.0,28,True,2021-06-18 18:19:18.000000,1.10.26,207.0,rasa,,,,['tensorflow'],64.0,,https://pypi.org/project/rasa,2021-06-16 20:58:46.000000,64.0,186150.0,186150.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n172,NNI,microsoft/nni,,hyperopt,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44.000000,2021-07-08 12:14:32.000000,2021-07-08 02:10:15.000000,1359,196.0,1122.0,9888.0,2168.0,\"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..\",138.0,28,True,2021-06-15 13:19:08.000000,2.3,42.0,nni,,,,,142.0,126.0,https://pypi.org/project/nni,2021-06-15 13:29:08.000000,16.0,28141.0,28141.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n173,InsightFace,deepinsight/insightface,,image,https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,MIT,2017-09-01 00:36:51.000000,2021-07-08 10:50:59.000000,2021-07-08 10:50:25.000000,3248,838.0,753.0,9579.0,1662.0,Face Analysis Project on PyTorch and MXNet.,20.0,28,True,2021-07-08 07:03:37.000000,0.3.8,17.0,insightface,,,,['mxnet'],81.0,79.0,https://pypi.org/project/insightface,2021-07-08 07:03:37.000000,2.0,11313.0,11313.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n174,dgl,dmlc/dgl,,graph,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000000,2021-07-08 09:57:19.000000,2021-07-08 09:57:10.000000,1623,271.0,846.0,7595.0,1825.0,\"Python package built to ease deep learning on graph, on top of existing DL frameworks.\",143.0,28,True,2021-04-08 03:22:48.000000,0.6.1,438.0,dgl,,,,,30.0,,https://pypi.org/project/dgl,2021-05-27 13:25:52.000000,30.0,88772.0,88772.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n175,Jina,jina-ai/jina,,ml-frameworks,https://github.com/jina-ai/jina,https://github.com/jina-ai/jina,Apache-2.0,2020-02-13 17:04:44.000000,2021-07-08 13:54:30.920573,2021-07-08 13:34:20.000000,1019,63.0,826.0,7436.0,5763.0,Cloud-native neural search framework for kind of data.,106.0,28,True,2021-07-07 14:50:46.000000,2.0.4,893.0,jina,,jinaai/jina,,,104.0,104.0,https://pypi.org/project/jina,2021-07-08 13:36:44.000000,,31761.0,74593.0,,,,https://hub.docker.com/r/jinaai/jina,2021-07-08 13:54:30.920573,4.0,728157.0,3.0,,,,,,,,,,,,,,,,,,,,,\n176,Pyro,pyro-ppl/pyro,,probabilistics,https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000000,2021-07-07 13:44:18.000000,2021-07-06 23:40:56.000000,854,165.0,716.0,7000.0,2248.0,Deep universal probabilistic programming with Python and PyTorch.,111.0,28,True,2021-07-06 23:56:51.000000,1.7.0,27.0,pyro-ppl,,,,['pytorch'],519.0,483.0,https://pypi.org/project/pyro-ppl,2021-07-07 00:00:51.000000,36.0,52354.0,52354.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n177,auto-sklearn,automl/auto-sklearn,,hyperopt,https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10.000000,2021-07-05 18:10:12.000000,2021-05-14 06:46:51.000000,1012,106.0,636.0,5517.0,2458.0,Automated Machine Learning with scikit-learn.,66.0,28,True,2021-04-20 16:07:35.000000,0.12.6,31.0,auto-sklearn,,,,['sklearn'],210.0,180.0,https://pypi.org/project/auto-sklearn,2021-04-20 16:07:35.000000,30.0,22498.0,22498.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n178,DeepPavlov,deepmipt/DeepPavlov,,nlp,https://github.com/deepmipt/DeepPavlov,https://github.com/deepmipt/DeepPavlov,Apache-2.0,2017-11-17 14:35:29.000000,2021-07-08 14:05:38.000000,2021-05-14 10:17:11.000000,959,123.0,464.0,5284.0,2595.0,An open source library for deep learning end-to-end dialog systems and chatbots.,63.0,28,True,2021-05-14 10:27:41.000000,0.15.0,43.0,deeppavlov,,,,['tensorflow'],216.0,208.0,https://pypi.org/project/deeppavlov,2021-05-14 10:27:41.000000,8.0,9403.0,9403.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n179,OpenNMT,OpenNMT/OpenNMT-py,,nlp,https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000000,2021-06-16 13:17:51.000000,2021-06-16 13:17:51.000000,1869,113.0,1157.0,5106.0,2568.0,Open Source Neural Machine Translation in PyTorch.,170.0,28,True,2021-04-30 16:41:28.000000,2.1.2,31.0,OpenNMT-py,,,,['pytorch'],96.0,92.0,https://pypi.org/project/OpenNMT-py,2021-04-30 16:41:28.000000,4.0,4043.0,4043.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n180,Tokenizers,huggingface/tokenizers,,nlp,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000000,2021-07-05 08:11:54.000000,2021-05-24 21:31:01.000000,361,118.0,347.0,4676.0,1463.0,Fast State-of-the-Art Tokenizers optimized for Research and Production.,40.0,28,True,2021-05-24 21:47:49.000000,0.10.3,62.0,tokenizers,conda-forge/tokenizers,,,,35.0,35.0,https://pypi.org/project/tokenizers,2021-05-24 21:47:49.000000,0.0,3216566.0,3222004.0,https://anaconda.org/conda-forge/tokenizers,2021-03-10 20:31:28.913000,65259.0,,,,,2.0,,,-1.0,,,,,,,,,,,,,,,,,,\n181,PyOD,yzhao062/pyod,,others,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04.000000,2021-07-07 13:02:23.000000,2021-07-04 15:32:35.000000,933,122.0,90.0,4631.0,1286.0,(JMLR'19) A Python Toolbox for Scalable Outlier Detection (Anomaly Detection).,24.0,28,True,2021-07-07 13:02:23.000000,V0.9.0,68.0,pyod,,,,,738.0,732.0,https://pypi.org/project/pyod,2021-07-04 15:35:44.000000,6.0,205041.0,205041.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n182,librosa,librosa/librosa,,audio,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000000,2021-07-08 15:09:21.000000,2021-07-01 13:06:00.000000,739,48.0,838.0,4597.0,,Python library for audio and music analysis.,90.0,28,True,2021-05-26 10:15:06.000000,0.8.1,31.0,librosa,conda-forge/librosa,,,,1750.0,,https://pypi.org/project/librosa,2021-05-26 10:15:06.000000,1750.0,598314.0,604155.0,https://anaconda.org/conda-forge/librosa,2021-05-26 10:44:27.607000,350510.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n183,DEAP,deap/deap,,distributed-ml,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39.000000,2021-06-06 21:05:04.000000,2021-05-08 10:26:27.000000,898,214.0,227.0,4277.0,2149.0,Distributed Evolutionary Algorithms in Python.,68.0,28,False,2020-01-21 01:18:06.000000,1.3.1,16.0,deap,conda-forge/deap,,,,2450.0,1968.0,https://pypi.org/project/deap,2020-01-21 01:18:06.000000,482.0,129918.0,132182.0,https://anaconda.org/conda-forge/deap,2021-01-13 14:43:13.393000,138162.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n184,imutils,jrosebr1/imutils,,image,https://github.com/jrosebr1/imutils,https://github.com/jrosebr1/imutils,MIT,2015-01-11 20:05:39.000000,2021-06-04 12:14:51.000000,2021-01-15 10:46:45.000000,910,140.0,76.0,3719.0,138.0,\"A series of convenience functions to make basic image processing operations such as translation, rotation, resizing,..\",20.0,28,True,2021-01-15 10:53:17.000000,0.5.4,29.0,imutils,conda-forge/imutils,,,,17571.0,16375.0,https://pypi.org/project/imutils,2021-01-15 10:53:17.000000,1196.0,288746.0,291029.0,https://anaconda.org/conda-forge/imutils,2021-01-15 14:27:25.471000,57078.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n185,huey,coleifer/huey,,data-pipelines,https://github.com/coleifer/huey,https://github.com/coleifer/huey,MIT,2011-11-03 16:39:43.000000,2021-06-23 16:02:47.000000,2021-06-23 16:02:39.000000,306,,459.0,3570.0,914.0,a little task queue for python.,65.0,28,True,2021-04-20 13:47:00.000000,2.3.2,59.0,huey,conda-forge/huey,,,,1034.0,748.0,https://pypi.org/project/huey,2021-04-20 13:46:36.000000,286.0,42325.0,42840.0,https://anaconda.org/conda-forge/huey,2019-10-16 15:34:27.487000,20100.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n186,sacred,IDSIA/sacred,,ml-experiments,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29.000000,2021-06-28 09:41:43.000000,2021-06-28 09:41:43.000000,319,92.0,421.0,3512.0,1310.0,\"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.\",93.0,28,True,2020-12-14 15:21:05.000000,0.8.2,27.0,sacred,,,,,1127.0,973.0,https://pypi.org/project/sacred,2020-12-14 15:21:05.000000,154.0,24613.0,24613.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n187,dyNET,clab/dynet,,ml-frameworks,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21.000000,2021-06-08 19:03:01.000000,2021-01-27 15:43:03.000000,703,259.0,661.0,3233.0,3267.0,DyNet: The Dynamic Neural Network Toolkit.,156.0,28,True,2020-10-21 14:31:01.000000,2.1.2,24.0,dyNET,,,,,220.0,182.0,https://pypi.org/project/dyNET,2020-10-21 14:31:01.000000,38.0,17870.0,17927.0,,,,,,,,3.0,3305.0,,,,,,,,,,,,,,,,,,,,\n188,bqplot,bqplot/bqplot,,data-viz,https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18.000000,2021-06-30 03:26:51.000000,2021-06-28 15:39:49.000000,407,193.0,345.0,3107.0,3393.0,Plotting library for IPython/Jupyter notebooks.,52.0,28,True,2021-06-08 14:43:56.000000,0.12.29,96.0,bqplot,conda-forge/bqplot,,,['jupyter'],148.0,26.0,https://pypi.org/project/bqplot,2021-06-08 14:39:27.000000,112.0,62069.0,86658.0,https://anaconda.org/conda-forge/bqplot,2021-06-08 14:57:52.705000,675634.0,,,,,2.0,,,,bqplot,https://www.npmjs.com/package/bqplot,2021-06-08 14:36:47.182000,10.0,13692.0,,,,,,,,,,,,,\n189,Blaze,blaze/blaze,,data-containers,https://github.com/blaze/blaze,https://github.com/blaze/blaze,BSD-3-Clause,2012-10-26 14:25:22.000000,2020-02-01 19:33:09.000000,2019-08-15 21:14:59.000000,373,262.0,500.0,2963.0,7496.0,NumPy and Pandas interface to Big Data.,64.0,28,False,2016-07-19 20:40:03.000000,0.11.0,14.0,blaze,conda-forge/blaze,,,,9395.0,7773.0,https://pypi.org/project/blaze,2016-05-06 21:19:21.000000,1622.0,10546.0,14637.0,https://anaconda.org/conda-forge/blaze,2018-07-15 22:16:17.685000,192289.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n190,plotnine,has2k1/plotnine,,data-viz,https://github.com/has2k1/plotnine,https://github.com/has2k1/plotnine,GPL-2.0,2017-04-24 19:00:44.000000,2021-06-29 19:47:35.000000,2021-05-24 08:44:04.000000,143,63.0,373.0,2730.0,1698.0,A grammar of graphics for Python.,85.0,28,False,2021-03-25 12:57:10.000000,0.8.0,11.0,plotnine,conda-forge/plotnine,,,,2391.0,2137.0,https://pypi.org/project/plotnine,2021-03-25 10:49:20.000000,254.0,171407.0,173691.0,https://anaconda.org/conda-forge/plotnine,2021-03-25 12:31:04.423000,114229.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n191,datashader,holoviz/datashader,,data-viz,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000000,2021-06-10 09:04:19.929000,2021-06-05 20:55:59.000000,328,123.0,351.0,2541.0,1295.0,Quickly and accurately render even the largest data.,43.0,28,True,2021-06-09 23:30:20.000000,0.13.0,24.0,datashader,conda-forge/datashader,,,,807.0,737.0,https://pypi.org/project/datashader,2021-06-09 22:59:52.000000,70.0,39203.0,43695.0,https://anaconda.org/conda-forge/datashader,2021-06-10 09:04:19.929000,197663.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n192,sklearn-pandas,scikit-learn-contrib/sklearn-pandas,,data-containers,https://github.com/scikit-learn-contrib/sklearn-pandas,https://github.com/scikit-learn-contrib/sklearn-pandas,Zlib,2013-04-22 22:55:20.000000,2021-05-08 08:31:08.000000,2021-05-08 08:05:59.000000,393,25.0,125.0,2448.0,287.0,Pandas integration with sklearn.,37.0,28,False,2021-05-08 08:32:08.000000,2.1.0,27.0,sklearn-pandas,,,,\"['sklearn', 'pandas']\",2738.0,2516.0,https://pypi.org/project/sklearn-pandas,2021-05-08 08:14:28.000000,222.0,191723.0,191723.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n193,Cufflinks,santosjorge/cufflinks,,data-viz,https://github.com/santosjorge/cufflinks,https://github.com/santosjorge/cufflinks,MIT,2014-11-19 20:59:33.000000,2021-02-25 05:05:09.000000,2021-02-25 05:05:09.000000,535,81.0,122.0,2229.0,452.0,Productivity Tools for Plotly + Pandas.,38.0,28,True,2020-03-01 17:42:01.000000,0.17.3,27.0,cufflinks,,,,['pandas'],3983.0,3749.0,https://pypi.org/project/cufflinks,2020-03-01 17:42:01.000000,234.0,142982.0,142982.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n194,ImageHash,JohannesBuchner/imagehash,,image,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48.000000,2021-03-25 13:32:22.000000,2021-01-03 14:55:15.000000,265,22.0,76.0,2015.0,184.0,A Python Perceptual Image Hashing Module.,17.0,28,True,2021-03-25 13:49:48.000000,4.1.0,17.0,ImageHash,conda-forge/imagehash,,,,3454.0,2922.0,https://pypi.org/project/ImageHash,2020-11-19 14:54:24.000000,532.0,871646.0,874002.0,https://anaconda.org/conda-forge/imagehash,2020-11-19 18:20:49.964000,131946.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n195,TF-Agents,tensorflow/agents,,reinforcement-learning,https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000000,2021-07-07 20:23:06.000000,2021-07-07 20:22:29.000000,528,110.0,366.0,1955.0,1806.0,\"TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.\",97.0,28,True,2021-05-16 23:41:49.000000,0.8.0,22.0,tf-agents,,,,['tensorflow'],519.0,507.0,https://pypi.org/project/tf-agents,2021-05-16 23:41:49.000000,12.0,23123.0,23123.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n196,hdbscan,scikit-learn-contrib/hdbscan,,others,https://github.com/scikit-learn-contrib/hdbscan,https://github.com/scikit-learn-contrib/hdbscan,BSD-3-Clause,2015-04-22 13:32:37.000000,2021-04-07 15:55:02.000000,2021-04-07 15:55:02.000000,339,230.0,147.0,1916.0,884.0,A high performance implementation of HDBSCAN clustering.,69.0,28,True,2021-02-03 20:21:02.000000,0.8.27,43.0,hdbscan,conda-forge/hdbscan,,,['sklearn'],1033.0,909.0,https://pypi.org/project/hdbscan,2021-02-03 20:21:02.000000,124.0,219392.0,231605.0,https://anaconda.org/conda-forge/hdbscan,2021-02-14 03:07:15.749000,732827.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n197,tesserocr,sirfz/tesserocr,,ocr,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36.000000,2021-07-03 00:21:46.000000,2021-06-19 22:44:28.000000,202,61.0,150.0,1475.0,167.0,A Python wrapper for the tesseract-ocr API.,26.0,28,True,2021-06-19 21:10:18.000000,2.5.2,16.0,tesserocr,conda-forge/tesserocr,,,,626.0,526.0,https://pypi.org/project/tesserocr,2021-06-19 21:10:18.000000,100.0,64167.0,66592.0,https://anaconda.org/conda-forge/tesserocr,2021-01-13 16:38:14.456000,50934.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n198,mleap,combust/mleap,,data-pipelines,https://github.com/combust/mleap,https://github.com/combust/mleap,Apache-2.0,2016-08-23 03:51:03.000000,2021-06-24 16:39:44.000000,2021-06-17 04:47:43.000000,278,86.0,343.0,1265.0,814.0,MLeap: Deploy ML Pipelines to Production.,67.0,28,True,2021-05-07 20:42:11.000000,0.17.0,6.0,mleap,conda-forge/mleap,,,,183.0,151.0,https://pypi.org/project/mleap,2021-05-07 20:42:11.000000,32.0,500473.0,501816.0,https://anaconda.org/conda-forge/mleap,2021-05-10 09:48:39.778000,36264.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n199,TF Model Optimization,tensorflow/model-optimization,,tensorflow-utils,https://github.com/tensorflow/model-optimization,https://github.com/tensorflow/model-optimization,Apache-2.0,2018-10-31 20:34:28.000000,2021-07-07 04:07:11.000000,2021-07-07 04:07:03.000000,247,82.0,127.0,1072.0,610.0,\"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.\",54.0,28,True,2021-06-18 06:40:44.000000,0.6.0,23.0,tensorflow-model-optimization,,,,['tensorflow'],964.0,958.0,https://pypi.org/project/tensorflow-model-optimization,2021-06-18 06:24:07.000000,6.0,242414.0,242414.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n200,PyTables,PyTables/PyTables,,data-containers,https://github.com/PyTables/PyTables,https://github.com/PyTables/PyTables,BSD-3-Clause,2011-06-03 19:44:46.000000,2021-03-26 00:08:03.000000,2021-03-20 09:04:48.000000,204,168.0,452.0,1038.0,3954.0,A Python package to manage extremely large amounts of data.,98.0,28,True,2019-10-30 19:33:37.000000,3.6.1,25.0,tables,conda-forge/pytables,,,,3754.0,,https://pypi.org/project/tables,2019-10-30 19:33:37.000000,3754.0,727181.0,774711.0,https://anaconda.org/conda-forge/pytables,2021-01-14 18:41:06.536000,2804162.0,,,,,2.0,158.0,,,,,,,,,,,,,,,,,,,,\n201,pmdarima,alkaline-ml/pmdarima,,time-series-data,https://github.com/alkaline-ml/pmdarima,https://github.com/alkaline-ml/pmdarima,MIT,2017-03-30 14:58:30.000000,2021-07-06 04:46:24.000000,2021-05-07 13:18:59.000000,170,21.0,222.0,919.0,1030.0,\"A statistical library designed to fill the void in Python's time series analysis capabilities, including the..\",18.0,28,True,2021-04-19 22:17:02.000000,1.8.2,33.0,pmdarima,,,,,1156.0,1144.0,https://pypi.org/project/pmdarima,2021-04-19 22:17:02.000000,12.0,500448.0,500448.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n202,igraph,igraph/python-igraph,,graph,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16.000000,2021-07-08 06:45:30.000000,2021-06-29 09:25:35.000000,196,28.0,296.0,839.0,1750.0,Python interface for igraph.,52.0,28,False,2021-06-12 08:08:59.000000,0.9.6,23.0,python-igraph,conda-forge/igraph,,,,2181.0,1757.0,https://pypi.org/project/python-igraph,2021-06-12 08:23:34.000000,424.0,110475.0,118005.0,https://anaconda.org/conda-forge/igraph,2021-06-16 15:20:14.330000,231807.0,,,,,1.0,178100.0,,,,,,,,,,,,,,,,,,,,\n203,data-validation,tensorflow/data-validation,,data-viz,https://github.com/tensorflow/data-validation,https://github.com/tensorflow/data-validation,Apache-2.0,2018-07-02 15:47:02.000000,2021-06-30 00:27:05.000000,2021-06-30 00:27:00.000000,99,37.0,92.0,558.0,642.0,Library for exploring and validating machine learning data.,21.0,28,True,2021-06-22 20:34:12.000000,1.1.0,30.0,tensorflow-data-validation,,,,\"['tensorflow', 'jupyter']\",320.0,302.0,https://pypi.org/project/tensorflow-data-validation,2021-06-22 20:34:12.000000,18.0,5390768.0,5390775.0,,,,,,,,2.0,240.0,,,,,,,,,,,,,,,,,,,,\n204,DIPY,dipy/dipy,,medical-data,https://github.com/dipy/dipy,https://github.com/dipy/dipy,BSD-3-Clause,2010-02-06 11:43:08.000000,2021-07-07 05:16:32.000000,2021-07-07 05:16:32.000000,313,156.0,619.0,447.0,11625.0,\"DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal..\",123.0,28,True,2021-03-14 14:05:15.000000,1.4.0,23.0,dipy,conda-forge/dipy,,,,490.0,396.0,https://pypi.org/project/dipy,2021-05-06 04:40:48.000000,94.0,16228.0,20047.0,https://anaconda.org/conda-forge/dipy,2021-05-06 13:36:55.402000,236808.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n205,Streamlit,streamlit/streamlit,,others,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000000,2021-07-08 10:46:59.000000,2021-07-08 05:51:33.000000,1299,558.0,1309.0,15178.0,,Streamlit The fastest way to build data apps in Python.,111.0,27,True,2021-07-01 18:43:28.000000,0.84.0,133.0,streamlit,,,,,130.0,96.0,https://pypi.org/project/streamlit,2021-07-01 18:41:54.000000,34.0,344665.0,344665.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n206,PaddleOCR,PaddlePaddle/PaddleOCR,,ocr,https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000000,2021-07-08 12:18:44.000000,2021-07-05 02:28:37.000000,2720,678.0,1633.0,13212.0,,\"Awesome multilingual OCR toolkits based on PaddlePaddle practical ultra lightweight OCR system, support 80+ languages..\",56.0,27,True,2021-05-26 11:43:06.000000,2.1.1,13.0,paddleocr,,,,['paddle'],219.0,219.0,https://pypi.org/project/paddleocr,2021-04-13 04:02:10.000000,0.0,34333.0,34333.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n207,baselines,openai/baselines,,reinforcement-learning,https://github.com/openai/baselines,https://github.com/openai/baselines,MIT,2017-05-24 01:58:13.000000,2021-06-12 21:46:56.000000,2020-01-31 13:06:18.000000,4037,455.0,429.0,11650.0,347.0,OpenAI Baselines: high-quality implementations of reinforcement learning algorithms.,114.0,27,False,2018-02-26 17:07:07.000000,0.1.5,6.0,baselines,,,,,401.0,327.0,https://pypi.org/project/baselines,2018-02-26 17:07:07.000000,74.0,2639.0,2639.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n208,PySyft,OpenMined/PySyft,,privacy-ml,https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,Apache-2.0,2017-07-18 20:41:16.000000,2021-07-08 13:34:38.000000,2021-07-07 16:17:06.000000,1678,248.0,2744.0,7346.0,9339.0,A library for answering questions using data you cannot see.,409.0,27,True,2021-06-28 06:55:25.000000,0.5.0,54.0,syft,,,,['pytorch'],6.0,,https://pypi.org/project/syft,2021-06-28 06:55:25.000000,6.0,3326.0,3326.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n209,ParlAI,facebookresearch/ParlAI,,nlp,https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44.000000,2021-07-08 00:16:12.000000,2021-07-08 00:16:12.000000,1475,98.0,926.0,7299.0,3802.0,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,153.0,27,True,2021-07-07 19:58:26.000000,1.3.0,17.0,parlai,,,,['pytorch'],28.0,28.0,https://pypi.org/project/parlai,2021-07-07 19:58:26.000000,0.0,1888.0,1888.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n210,imageai,OlafenwaMoses/ImageAI,,image,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33.000000,2021-06-14 09:00:26.000000,2021-05-08 20:05:36.000000,1765,228.0,417.0,6296.0,292.0,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,14.0,27,True,2021-01-05 01:26:01.000000,2.1.6,10.0,imageai,,,,,901.0,877.0,https://pypi.org/project/imageai,2021-01-05 01:26:01.000000,24.0,10707.0,26244.0,,,,,,,,2.0,605951.0,,,,,,,,,,,,,,,,,,,,\n211,EfficientNet-PyTorch,lukemelas/EfficientNet-PyTorch,,pytorch-utils,https://github.com/lukemelas/EfficientNet-PyTorch,https://github.com/lukemelas/EfficientNet-PyTorch,Apache-2.0,2019-05-30 05:24:11.000000,2021-07-02 23:37:04.000000,2021-04-15 15:16:36.000000,1218,121.0,133.0,6189.0,162.0,A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!).,24.0,27,True,2021-04-15 15:17:23.000000,0.7.1,13.0,efficientnet-pytorch,,,,['pytorch'],14.0,,https://pypi.org/project/efficientnet-pytorch,2021-04-15 15:17:23.000000,14.0,91281.0,130233.0,,,,,,,,1.0,623241.0,,,,,,,,,,,,,,,,,,,,\n212,tsfresh,blue-yonder/tsfresh,,time-series-data,https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17.000000,2021-07-05 16:09:30.000000,2021-07-04 20:23:17.000000,887,38.0,427.0,5767.0,398.0,Automatic extraction of relevant features from time series:.,78.0,27,True,2021-03-06 08:49:53.000000,0.18.0,26.0,tsfresh,conda-forge/tsfresh,,,['sklearn'],66.0,,https://pypi.org/project/tsfresh,2020-09-09 21:08:22.000000,66.0,203365.0,204198.0,https://anaconda.org/conda-forge/tsfresh,2021-03-07 06:57:04.012000,36672.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n213,CleverHans,cleverhans-lab/cleverhans,,adversarial,https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04.000000,2021-05-31 01:26:50.000000,2021-04-20 08:51:08.000000,1295,26.0,419.0,5185.0,3194.0,\"An adversarial example library for constructing attacks, building defenses, and benchmarking both.\",123.0,27,True,2021-04-28 13:26:45.000000,3.1.0,7.0,cleverhans,,,,['tensorflow'],250.0,234.0,https://pypi.org/project/cleverhans,2021-04-28 13:26:45.000000,16.0,985.0,985.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n214,scikit-surprise,NicolasHug/Surprise,,recommender-systems,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38.000000,2020-10-13 01:22:58.850000,2020-08-05 17:45:59.000000,865,51.0,291.0,4919.0,622.0,A Python scikit for building and analyzing recommender systems.,38.0,27,True,2020-07-19 14:50:48.000000,1.1.1,9.0,scikit-surprise,conda-forge/scikit-surprise,,,,1211.0,1163.0,https://pypi.org/project/scikit-surprise,2020-07-19 14:50:48.000000,48.0,58841.0,63206.0,https://anaconda.org/conda-forge/scikit-surprise,2020-10-13 01:22:58.850000,183350.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n215,Metaflow,Netflix/metaflow,,ml-experiments,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000000,2021-07-06 17:16:49.000000,2021-07-06 17:16:49.000000,380,159.0,167.0,4477.0,284.0,Build and manage real-life data science projects with ease.,35.0,27,True,2021-06-29 22:17:30.000000,2.3.2,26.0,metaflow,conda-forge/metaflow,,,,167.0,165.0,https://pypi.org/project/metaflow,2021-06-29 23:06:48.000000,2.0,77824.0,78802.0,https://anaconda.org/conda-forge/metaflow,2021-06-30 01:42:17.102000,18594.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n216,skorch,skorch-dev/skorch,,ml-frameworks,https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000000,2021-07-05 09:32:16.000000,2021-06-23 16:51:06.000000,283,43.0,348.0,4029.0,960.0,A scikit-learn compatible neural network library that wraps PyTorch.,42.0,27,True,2021-03-23 15:34:51.000000,0.10.0,13.0,skorch,conda-forge/skorch,,,\"['pytorch', 'sklearn']\",377.0,351.0,https://pypi.org/project/skorch,2021-03-23 15:32:29.000000,26.0,14265.0,23065.0,https://anaconda.org/conda-forge/skorch,2021-03-24 00:24:03.810000,299222.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n217,pyAudioAnalysis,tyiannak/pyAudioAnalysis,,audio,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13.000000,2021-06-15 12:26:17.000000,2021-06-15 12:26:16.000000,994,170.0,109.0,4005.0,689.0,\"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.\",25.0,27,True,2021-05-13 14:14:02.000000,0.3.7,16.0,pyAudioAnalysis,,,,,248.0,226.0,https://pypi.org/project/pyAudioAnalysis,2021-05-13 14:14:02.000000,22.0,14535.0,14535.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n218,InterpretML,interpretml/interpret,,interpretability,https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000000,2021-07-07 09:35:40.000000,2021-07-07 09:35:01.000000,486,77.0,152.0,3918.0,1706.0,Fit interpretable models. Explain blackbox machine learning.,27.0,27,True,2021-06-22 01:20:02.000000,0.2.5,35.0,interpret,,,,['jupyter'],98.0,96.0,https://pypi.org/project/interpret,2021-06-22 01:12:04.000000,2.0,29736.0,29736.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n219,espnet,espnet/espnet,,audio,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000000,2021-07-07 16:00:58.000000,2021-07-07 14:07:13.000000,1225,205.0,1186.0,3915.0,11424.0,End-to-End Speech Processing Toolkit.,162.0,27,True,2021-06-22 01:03:09.000000,.0.10.0,36.0,espnet,,,,,11.0,11.0,https://pypi.org/project/espnet,2021-06-22 01:03:33.000000,0.0,3431.0,3432.0,,,,,,,,2.0,72.0,,,,,,,,,,,,,,,,,,,,\n220,pyfolio,quantopian/pyfolio,,financial-data,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39.000000,2021-06-07 17:20:04.000000,2020-07-15 13:46:58.000000,1231,132.0,264.0,3899.0,1184.0,Portfolio and risk analytics in Python.,55.0,27,True,2019-04-15 15:00:21.000000,0.9.2,22.0,pyfolio,conda-forge/pyfolio,,,,332.0,278.0,https://pypi.org/project/pyfolio,2019-04-15 15:00:21.000000,54.0,7407.0,7570.0,https://anaconda.org/conda-forge/pyfolio,2020-05-16 14:11:57.267000,6705.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n221,Perspective,finos/perspective,,data-viz,https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000000,2021-07-08 06:46:31.000000,2021-07-08 04:58:02.000000,377,65.0,359.0,3426.0,4584.0,Streaming pivot visualization via WebAssembly.,64.0,27,True,2021-06-17 08:14:42.000000,0.9.0,48.0,perspective-python,,,,['jupyter'],203.0,195.0,https://pypi.org/project/perspective-python,2021-07-08 06:14:18.000000,8.0,2109.0,4015.0,,,,,,,,2.0,,,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2021-07-08 04:55:21.064000,,1906.0,,,,,,,,,,,,,\n222,DeepChem,deepchem/deepchem,,others,https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000000,2021-07-08 14:05:28.000000,2021-07-08 14:02:04.000000,1013,406.0,896.0,3019.0,6733.0,\"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.\",165.0,27,True,2021-03-18 03:10:52.000000,2.5.0,280.0,deepchem,,,,['tensorflow'],49.0,45.0,https://pypi.org/project/deepchem,2021-07-08 14:05:28.000000,4.0,5097.0,5097.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n223,Gradio,gradio-app/gradio,,others,https://github.com/gradio-app/gradio,https://github.com/gradio-app/gradio,Apache-2.0,2018-12-19 08:24:04.000000,2021-07-06 23:46:13.000000,2021-07-06 23:46:11.000000,189,17.0,130.0,2927.0,1108.0,\"Wrap UIs around any model, share with anyone.\",20.0,27,True,2021-07-06 23:46:05.000000,2.1.2,110.0,gradio,,,,,196.0,194.0,https://pypi.org/project/gradio,2021-07-06 23:46:05.000000,2.0,9169.0,9169.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n224,pomegranate,jmschrei/pomegranate,,probabilistics,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000000,2021-05-04 19:09:20.000000,2021-05-04 19:09:16.000000,486,54.0,565.0,2703.0,897.0,\"Fast, flexible and easy to use probabilistic modelling in Python.\",62.0,27,True,2021-03-29 16:51:20.000000,0.14.4,65.0,pomegranate,conda-forge/pomegranate,,,,534.0,478.0,https://pypi.org/project/pomegranate,2021-03-29 16:51:20.000000,56.0,51585.0,54245.0,https://anaconda.org/conda-forge/pomegranate,2020-11-01 16:22:04.857000,63841.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n225,Catalyst,catalyst-team/catalyst,,ml-experiments,https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13.000000,2021-07-08 11:02:16.000000,2021-07-08 05:15:42.000000,323,16.0,300.0,2655.0,1565.0,Accelerated deep learning R&D.,91.0,27,True,2021-06-29 06:37:29.000000,21.06,96.0,catalyst,,,,['pytorch'],411.0,373.0,https://pypi.org/project/catalyst,2021-06-29 06:31:24.000000,38.0,10726.0,10726.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n226,BentoML,bentoml/BentoML,,model-serialisation,https://github.com/bentoml/BentoML,https://github.com/bentoml/BentoML,Apache-2.0,2019-04-02 01:39:27.000000,2021-07-08 15:25:33.000000,2021-07-08 14:46:55.000000,302,81.0,379.0,2623.0,1143.0,Model Serving Made Easy.,84.0,27,True,2021-06-16 17:13:15.000000,0.13.0,69.0,bentoml,,,,,103.0,95.0,https://pypi.org/project/bentoml,2021-06-16 16:08:44.000000,8.0,11021.0,11050.0,,,,,,,,1.0,783.0,,,,,,,,,,,,,,,,,,,,\n227,Sumy,miso-belica/sumy,,nlp,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48.000000,2021-06-17 15:47:06.000000,2021-06-17 15:47:06.000000,456,13.0,78.0,2607.0,398.0,Module for automatic summarization of text documents and HTML pages.,21.0,27,True,2019-05-19 14:39:21.000000,0.8.1,13.0,sumy,,,,,1024.0,832.0,https://pypi.org/project/sumy,2019-05-19 14:38:29.000000,192.0,26934.0,26934.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n228,ClearML,allegroai/clearml,,ml-experiments,https://github.com/allegroai/clearml,https://github.com/allegroai/clearml,Apache-2.0,2019-06-10 08:18:32.000000,2021-07-06 12:18:29.000000,2021-07-06 12:18:29.000000,366,100.0,235.0,2560.0,1226.0,\"ClearML - Auto-Magical Suite of tools to streamline your ML workflow. Experiment Manager, ML-Ops and Data-Management.\",34.0,27,True,2021-06-22 14:55:39.000000,1.0.4,45.0,clearml,,allegroai/trains,,,51.0,51.0,https://pypi.org/project/clearml,2021-06-22 14:54:49.000000,0.0,23605.0,24819.0,,,,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,30065.0,2.0,319.0,,,,,,,,,,,,,,,,,,,,\n229,gpustat,wookayin/gpustat,,gpu-utilities,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43.000000,2021-06-04 13:53:57.000000,2021-03-23 06:32:48.000000,205,22.0,50.0,2491.0,168.0,A simple command-line utility for querying and monitoring GPU status.,12.0,27,True,2019-07-22 06:37:00.000000,0.6.0,11.0,gpustat,conda-forge/gpustat,,,,1079.0,1021.0,https://pypi.org/project/gpustat,2021-01-02 05:59:41.000000,58.0,390106.0,392463.0,https://anaconda.org/conda-forge/gpustat,2020-11-24 19:59:04.772000,66011.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n230,Captum,pytorch/captum,,interpretability,https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000000,2021-07-08 13:16:39.000000,2021-07-06 15:08:57.000000,259,61.0,186.0,2463.0,831.0,Model interpretability and understanding for PyTorch.,73.0,27,True,2021-07-07 05:16:49.000000,0.4.0,6.0,captum,,,,['pytorch'],222.0,222.0,https://pypi.org/project/captum,2021-07-07 04:40:26.000000,0.0,28254.0,28254.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n231,eli5,TeamHG-Memex/eli5,,interpretability,https://github.com/TeamHG-Memex/eli5,https://github.com/TeamHG-Memex/eli5,MIT,2016-09-15 01:04:57.000000,2021-06-10 22:02:56.000000,2020-01-22 07:39:36.000000,297,145.0,110.0,2405.0,1198.0,A library for debugging/inspecting machine learning classifiers and explaining their predictions.,14.0,27,False,2021-01-23 14:25:24.000000,0.11.0,28.0,eli5,conda-forge/eli5,,,,110.0,,https://pypi.org/project/eli5,2021-01-23 14:25:24.000000,110.0,510715.0,512679.0,https://anaconda.org/conda-forge/eli5,2021-01-25 08:24:59.385000,98246.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n232,implicit,benfred/implicit,,recommender-systems,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000000,2021-05-14 05:51:51.000000,2021-05-08 16:08:26.000000,490,84.0,266.0,2402.0,309.0,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,29.0,27,True,2020-09-15 22:01:38.000000,0.4.4,34.0,implicit,conda-forge/implicit,,,,484.0,440.0,https://pypi.org/project/implicit,2020-09-15 22:01:38.000000,44.0,137927.0,144304.0,https://anaconda.org/conda-forge/implicit,2020-11-24 06:44:37.378000,267851.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n233,ta,bukosabino/ta,,financial-data,https://github.com/bukosabino/ta,https://github.com/bukosabino/ta,MIT,2018-01-02 18:08:48.000000,2021-06-09 16:12:58.000000,2020-11-29 21:08:14.000000,553,90.0,87.0,2258.0,582.0,Technical Analysis Library using Pandas and Numpy.,23.0,27,True,2020-11-29 10:49:09.000000,0.7.0,49.0,ta,,,,,648.0,636.0,https://pypi.org/project/ta,2020-11-29 10:49:09.000000,12.0,73482.0,73482.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n234,spark-nlp,JohnSnowLabs/spark-nlp,,nlp,https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000000,2021-07-08 11:10:05.000000,2021-07-08 11:04:34.000000,465,76.0,432.0,2230.0,11239.0,State of the Art Natural Language Processing.,90.0,27,True,2021-07-07 15:41:30.000000,3.1.2,87.0,spark-nlp,,,,['spark'],0.0,,https://pypi.org/project/spark-nlp,2021-07-07 13:56:55.000000,0.0,742447.0,742447.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n235,BoTorch,pytorch/botorch,,hyperopt,https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000000,2021-07-07 21:06:39.000000,2021-07-07 00:19:37.000000,209,40.0,144.0,1991.0,957.0,Bayesian optimization in PyTorch.,55.0,27,True,2021-06-29 19:31:00.000000,0.5.0,17.0,botorch,,,,['pytorch'],140.0,140.0,https://pypi.org/project/botorch,2021-06-29 19:37:54.000000,0.0,67838.0,67838.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n236,Foolbox,bethgelab/foolbox,,adversarial,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48.000000,2021-07-06 10:16:42.000000,2021-06-05 09:38:18.000000,356,56.0,269.0,1958.0,1648.0,\"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.\",32.0,27,True,2021-02-23 07:09:34.000000,3.3.1,68.0,foolbox,,,,,229.0,211.0,https://pypi.org/project/foolbox,2021-02-23 07:07:53.000000,18.0,2117.0,2117.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n237,TorchServe,pytorch/serve,,model-serialisation,https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000000,2021-07-08 08:01:10.000000,2021-07-08 08:01:10.000000,328,117.0,521.0,1942.0,1764.0,Model Serving on PyTorch.,75.0,27,True,2021-05-22 00:09:49.000000,0.4.0,8.0,torchserve,pytorch/torchserve,pytorch/torchserve,,['pytorch'],63.0,63.0,https://pypi.org/project/torchserve,2021-05-20 22:22:18.000000,0.0,9472.0,13295.0,https://anaconda.org/pytorch/torchserve,2021-05-21 22:06:07.527000,9918.0,https://hub.docker.com/r/pytorch/torchserve,2021-05-20 22:32:59.391640,3.0,65908.0,1.0,360.0,,,,,,,,,,,,,,,,,,,,\n238,MNE,mne-tools/mne-python,,medical-data,https://github.com/mne-tools/mne-python,https://github.com/mne-tools/mne-python,BSD-3-Clause,2011-01-28 03:31:13.000000,2021-07-08 14:54:19.000000,2021-07-08 10:03:51.000000,913,332.0,3361.0,1623.0,,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,262.0,27,True,2021-04-27 19:00:31.000000,0.23.0,52.0,mne,conda-forge/mne,,,,1223.0,1025.0,https://pypi.org/project/mne,2021-04-27 19:00:31.000000,198.0,42571.0,45342.0,https://anaconda.org/conda-forge/mne,2021-04-27 21:31:05.562000,146913.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n239,Ax,facebook/Ax,,hyperopt,https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000000,2021-07-08 14:19:35.000000,2021-07-07 21:34:53.000000,163,27.0,244.0,1539.0,1240.0,Adaptive Experimentation Platform.,97.0,27,True,2021-06-30 21:07:38.000000,0.2.0,22.0,ax-platform,,,,['pytorch'],189.0,185.0,https://pypi.org/project/ax-platform,2021-06-30 22:14:39.000000,4.0,55052.0,55052.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n240,TFX,tensorflow/tfx,,data-pipelines,https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000000,2021-07-08 10:16:46.000000,2021-07-07 09:47:27.000000,464,236.0,414.0,1502.0,3650.0,TFX is an end-to-end platform for deploying production ML pipelines.,117.0,27,True,2021-06-25 15:54:35.000000,0.30.1,52.0,tfx,,,,['tensorflow'],4.0,,https://pypi.org/project/tfx,2021-06-25 19:18:12.000000,4.0,571311.0,571311.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n241,GPflow,GPflow/GPflow,,probabilistics,https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000000,2021-07-06 08:24:48.000000,2021-07-06 08:24:44.000000,404,103.0,612.0,1472.0,2229.0,Gaussian processes in TensorFlow.,71.0,27,True,2021-04-29 14:49:29.000000,2.2.1,31.0,gpflow,conda-forge/gpflow,,,['tensorflow'],305.0,271.0,https://pypi.org/project/gpflow,2021-04-29 14:49:29.000000,34.0,5268.0,5511.0,https://anaconda.org/conda-forge/gpflow,2018-11-06 08:51:39.744000,9250.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n242,Model Analysis,tensorflow/model-analysis,,interpretability,https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000000,2021-07-08 01:18:26.000000,2021-07-08 01:18:21.000000,221,30.0,42.0,1069.0,980.0,Model analysis tools for TensorFlow.,35.0,27,True,2021-06-24 00:24:51.000000,0.32.0,40.0,tensorflow-model-analysis,,,,\"['tensorflow', 'jupyter']\",20.0,,https://pypi.org/project/tensorflow-model-analysis,2021-06-24 00:24:51.000000,20.0,5019393.0,5019393.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n243,Mesh,tensorflow/mesh,,distributed-ml,https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34.000000,2021-06-29 17:38:06.000000,2021-06-29 17:37:56.000000,172,79.0,13.0,1059.0,616.0,Mesh TensorFlow: Model Parallelism Made Easier.,42.0,27,True,2021-03-24 19:03:46.000000,0.1.19,25.0,mesh-tensorflow,,,,['tensorflow'],603.0,547.0,https://pypi.org/project/mesh-tensorflow,2021-03-24 19:03:46.000000,56.0,343152.0,343152.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n244,agate,wireservice/agate,,others,https://github.com/wireservice/agate,https://github.com/wireservice/agate,MIT,2014-04-25 13:59:09.000000,2021-05-31 03:58:22.153000,2021-03-10 22:04:12.000000,131,54.0,588.0,1048.0,1356.0,A Python data analysis library that is optimized for humans instead of machines.,47.0,27,True,2018-03-11 14:37:30.000000,1.6.1,24.0,agate,conda-forge/agate,,,,821.0,579.0,https://pypi.org/project/agate,2018-03-11 14:37:30.000000,242.0,659934.0,661182.0,https://anaconda.org/conda-forge/agate,2021-05-31 03:58:22.153000,66166.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n245,arviz,arviz-devs/arviz,,interpretability,https://github.com/arviz-devs/arviz,https://github.com/arviz-devs/arviz,Apache-2.0,2015-07-29 11:51:10.000000,2021-07-05 17:05:29.000000,2021-07-05 16:31:17.000000,218,141.0,483.0,1048.0,,Exploratory analysis of Bayesian models with Python.,86.0,27,True,2021-02-21 19:39:56.000000,0.11.2,23.0,arviz,conda-forge/arviz,,,,1153.0,1117.0,https://pypi.org/project/arviz,2021-02-21 19:39:56.000000,36.0,559828.0,573804.0,https://anaconda.org/conda-forge/arviz,2021-04-20 19:35:43.998000,363348.0,,,,,1.0,98.0,,,,,,,,,,,,,,,,,,,,\n246,petl,petl-developers/petl,,data-pipelines,https://github.com/petl-developers/petl,https://github.com/petl-developers/petl,MIT,2011-08-19 09:51:03.000000,2021-06-17 10:01:39.000000,2021-06-11 01:18:26.000000,153,68.0,348.0,905.0,1145.0,Python Extract Transform and Load Tables of Data.,47.0,27,True,2021-03-27 03:06:14.000000,1.7.4,79.0,petl,conda-forge/petl,,http://petl.readthedocs.org,,565.0,451.0,https://pypi.org/project/petl,2021-03-27 03:06:14.000000,114.0,36540.0,37000.0,https://anaconda.org/conda-forge/petl,2021-04-05 21:49:41.242000,26734.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n247,cartopy,SciTools/cartopy,,data-viz,https://github.com/SciTools/cartopy,https://github.com/SciTools/cartopy,LGPL-3.0,2012-08-03 07:43:59.000000,2021-07-08 14:11:48.000000,2021-07-07 14:56:35.000000,276,297.0,671.0,886.0,2293.0,Cartopy - a cartographic python library with matplotlib support.,94.0,27,False,2021-04-23 16:45:56.000000,0.19.0.post1,22.0,cartopy,conda-forge/cartopy,,,,2078.0,1732.0,https://pypi.org/project/cartopy,2021-04-23 16:49:22.000000,346.0,66427.0,92240.0,https://anaconda.org/conda-forge/cartopy,2021-05-21 06:58:00.865000,1652078.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n248,PyVista,pyvista/pyvista,,data-viz,https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000000,2021-07-08 05:56:08.000000,2021-07-08 05:56:04.000000,167,147.0,373.0,860.0,2250.0,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,58.0,27,True,2021-06-23 21:59:31.000000,0.31.3,47.0,pyvista,conda-forge/pyvista,,,['jupyter'],416.0,390.0,https://pypi.org/project/pyvista,2021-06-23 21:59:31.000000,26.0,29609.0,33291.0,https://anaconda.org/conda-forge/pyvista,2021-06-24 01:50:57.553000,95697.0,,,,,2.0,129.0,,,,,,,,,,,,,,,,,,,,\n249,TensorFlow Text,tensorflow/text,,nlp,https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000000,2021-07-07 21:09:59.000000,2021-07-07 21:09:48.000000,108,54.0,101.0,766.0,453.0,Making text a first-class citizen in TensorFlow.,49.0,27,True,2021-05-24 19:16:25.000000,2.5.0,35.0,tensorflow-text,,,,['tensorflow'],798.0,794.0,https://pypi.org/project/tensorflow-text,2021-07-02 04:24:26.000000,4.0,1098870.0,1098870.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n250,geojson,jazzband/geojson,,geospatial-data,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48.000000,2021-03-21 16:52:10.000000,2021-03-21 16:52:09.000000,85,22.0,53.0,632.0,448.0,Python bindings and utilities for GeoJSON.,44.0,27,True,2019-08-09 20:32:15.000000,2.5.0,28.0,geojson,conda-forge/geojson,,,,8897.0,7063.0,https://pypi.org/project/geojson,2019-08-09 20:32:15.000000,1834.0,681299.0,687814.0,https://anaconda.org/conda-forge/geojson,2019-08-11 12:10:34.426000,417020.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n251,CNTK,microsoft/CNTK,,ml-frameworks,https://github.com/microsoft/CNTK,https://github.com/microsoft/CNTK,MIT,2015-11-26 09:52:06.000000,2020-12-09 22:21:57.000000,2020-03-31 15:55:14.000000,4402,836.0,2523.0,17044.0,16116.0,\"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.\",267.0,26,False,2019-04-26 14:13:32.000000,2.7,32.0,cntk,,,,,34.0,,https://pypi.org/project/cntk,2020-12-09 22:21:57.000000,34.0,1453.0,1662.0,,,,,,,,3.0,13849.0,,,,,,,,,,,,,,,,,,,,\n252,Magenta,magenta/magenta,,audio,https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40.000000,2021-06-30 21:44:22.000000,2021-06-30 21:44:13.000000,3449,312.0,562.0,16754.0,,Magenta: Music and Art Generation with Machine Intelligence.,149.0,26,True,2020-11-12 19:17:18.000000,2.1.3,66.0,magenta,,,,['tensorflow'],374.0,304.0,https://pypi.org/project/magenta,2020-11-12 19:17:18.000000,70.0,5084.0,5084.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n253,MMDetection,open-mmlab/mmdetection,,image,https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000000,2021-07-08 12:59:30.000000,2021-07-08 12:07:52.000000,5449,310.0,3716.0,15545.0,1645.0,OpenMMLab Detection Toolbox and Benchmark.,235.0,26,True,2021-06-29 14:02:09.000000,2.14.0,14.0,,,,,['pytorch'],70.0,70.0,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n254,Turi Create,apple/turicreate,,ml-frameworks,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04.000000,2021-06-14 17:53:17.000000,2021-06-14 17:53:17.000000,1103,481.0,1269.0,10333.0,,Turi Create simplifies the development of custom machine learning models.,82.0,26,True,2020-09-30 22:51:40.000000,6.4.1,31.0,turicreate,,,,,282.0,248.0,https://pypi.org/project/turicreate,2020-09-30 22:51:40.000000,34.0,30609.0,30710.0,,,,,,,,3.0,4364.0,,,,,,,,,,,,,,,,,,,,\n255,backtrader,mementum/backtrader,,financial-data,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52.000000,2021-07-04 11:17:54.000000,2021-02-11 20:51:09.000000,2120,32.0,,6825.0,2383.0,Python Backtesting library for trading strategies.,51.0,26,False,,,155.0,backtrader,,,,,712.0,642.0,https://pypi.org/project/backtrader,2020-07-03 13:02:14.000000,70.0,42039.0,42039.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n256,TensorLayer,tensorlayer/tensorlayer,,reinforcement-learning,https://github.com/tensorlayer/tensorlayer,https://github.com/tensorlayer/tensorlayer,Apache-2.0,2016-06-07 15:55:16.000000,2021-07-08 05:20:03.000000,2021-07-05 10:02:43.000000,1487,20.0,433.0,6646.0,3347.0,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,131.0,26,True,2021-01-06 07:16:21.000000,2.2.4,82.0,tensorlayer,,,,['tensorflow'],68.0,,https://pypi.org/project/tensorlayer,2020-06-19 00:53:37.000000,68.0,2867.0,2888.0,,,,,,,,2.0,1262.0,,,,,,,,,,,,,,,,,,,,\n257,Facets Overview,pair-code/facets,,data-viz,https://github.com/PAIR-code/facets,https://github.com/PAIR-code/facets,Apache-2.0,2017-07-07 14:03:03.000000,2021-05-06 12:01:08.000000,2021-05-06 12:01:05.000000,834,76.0,76.0,6614.0,264.0,Visualizations for machine learning datasets.,28.0,26,True,2019-07-24 15:57:06.000000,1.0.0,4.0,facets-overview,,,,['jupyter'],63.0,57.0,https://pypi.org/project/facets-overview,2019-07-24 15:57:06.000000,6.0,74345.0,74345.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n258,featuretools,alteryx/featuretools,,hyperopt,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17.000000,2021-07-07 21:16:33.000000,2021-07-06 15:31:12.000000,729,125.0,460.0,5625.0,,An open source python library for automated feature engineering.,50.0,26,True,2021-06-11 20:31:20.000000,0.25.0,76.0,featuretools,conda-forge/featuretools,,,,851.0,781.0,https://pypi.org/project/featuretools,2021-06-11 20:32:07.000000,70.0,201794.0,203648.0,https://anaconda.org/conda-forge/featuretools,2021-06-29 15:43:56.093000,57477.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n259,DeepSpeed,microsoft/DeepSpeed,,distributed-ml,https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,MIT,2020-01-23 18:35:18.000000,2021-07-08 14:48:23.000000,2021-07-07 16:56:59.000000,525,275.0,280.0,5208.0,614.0,\"DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.\",56.0,26,True,2021-07-01 17:00:55.000000,0.4.2,27.0,deepspeed,,deepspeed/deepspeed,,['pytorch'],55.0,55.0,https://pypi.org/project/deepspeed,2021-07-01 16:59:42.000000,0.0,49179.0,49668.0,,,,https://hub.docker.com/r/deepspeed/deepspeed,2021-05-05 21:39:11.981563,2.0,8805.0,2.0,,,,,,,,,,,,,,,,,,,,,\n260,PyTorch3D,facebookresearch/pytorch3d,,image,https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,MIT,2019-10-25 02:23:45.000000,2021-07-07 00:29:42.000000,2021-07-07 00:29:37.000000,605,85.0,588.0,4966.0,507.0,PyTorch3D is FAIR's library of reusable components for deep learning with 3D data.,63.0,26,True,2021-02-09 23:13:45.000000,0.4.0,7.0,pytorch3d,pytorch3d/pytorch3d,,,['pytorch'],90.0,90.0,https://pypi.org/project/pytorch3d,2021-02-09 23:13:45.000000,0.0,8886.0,9458.0,https://anaconda.org/pytorch3d/pytorch3d,2021-02-09 22:34:07.773000,11452.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n261,OCRmyPDF,jbarlow83/OCRmyPDF,,ocr,https://github.com/jbarlow83/OCRmyPDF,https://github.com/jbarlow83/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000000,2021-07-05 21:12:51.000000,2021-07-05 21:12:51.000000,460,95.0,623.0,4513.0,2972.0,\"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.\",55.0,26,True,2021-06-16 09:04:04.000000,12.2.0,175.0,ocrmypdf,,,,,12.0,,https://pypi.org/project/ocrmypdf,2021-06-16 09:04:04.000000,12.0,17583.0,17583.0,,,,,,,,2.0,,,,,,,,,,ocrmypdf,ocrmypdf,,,,,,,,,,\n262,Lucid,tensorflow/lucid,,interpretability,https://github.com/tensorflow/lucid,https://github.com/tensorflow/lucid,Apache-2.0,2018-01-25 17:41:44.000000,2021-07-02 01:49:08.000000,2021-03-19 15:48:33.000000,592,65.0,98.0,4246.0,667.0,A collection of infrastructure and tools for research in neural network interpretability.,40.0,26,True,2021-03-19 16:01:00.000000,0.3.10,17.0,lucid,,,,['tensorflow'],576.0,570.0,https://pypi.org/project/lucid,2021-03-19 16:01:00.000000,6.0,1176.0,1176.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n263,sktime,alan-turing-institute/sktime,,time-series-data,https://github.com/alan-turing-institute/sktime,https://github.com/alan-turing-institute/sktime,BSD-3-Clause,2018-11-06 15:08:24.000000,2021-07-08 11:24:25.000000,2021-07-08 08:14:16.000000,580,218.0,360.0,4164.0,,A unified framework for machine learning with time series.,97.0,26,True,2021-05-14 23:18:54.000000,0.6.1,15.0,sktime,,,,['sklearn'],196.0,196.0,https://pypi.org/project/sktime,2021-05-14 23:18:54.000000,0.0,105795.0,105797.0,,,,,,,,2.0,58.0,,,,,,,,,,,,,,,,,,,,\n264,AutoGluon,awslabs/autogluon,,hyperopt,https://github.com/awslabs/autogluon,https://github.com/awslabs/autogluon,Apache-2.0,2019-07-29 18:51:24.000000,2021-07-08 09:04:09.000000,2021-06-30 22:41:39.000000,449,112.0,393.0,3452.0,633.0,\"AutoGluon: AutoML for Text, Image, and Tabular Data.\",58.0,26,True,2021-04-28 22:25:13.000000,0.2.0,470.0,autogluon,,,,['mxnet'],61.0,61.0,https://pypi.org/project/autogluon,2021-07-08 09:04:09.000000,0.0,24141.0,24141.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n265,Alpha Vantage,RomelTorres/alpha_vantage,,financial-data,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00.000000,2021-06-15 14:33:06.000000,2021-06-14 05:10:42.000000,602,16.0,229.0,3401.0,497.0,A python wrapper for Alpha Vantage API for financial data.,39.0,26,True,2020-12-21 02:37:29.000000,2.3.1,28.0,alpha_vantage,,,,,202.0,,https://pypi.org/project/alpha_vantage,2018-08-26 18:55:11.000000,202.0,31597.0,31597.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n266,yellowbrick,DistrictDataLabs/yellowbrick,,interpretability,https://github.com/DistrictDataLabs/yellowbrick,https://github.com/DistrictDataLabs/yellowbrick,Apache-2.0,2016-05-18 14:12:17.000000,2021-07-06 11:43:33.000000,2021-05-17 16:54:05.000000,478,95.0,532.0,3285.0,848.0,Visual analysis and diagnostic tools to facilitate machine learning model selection.,98.0,26,True,2021-02-13 20:31:18.000000,1.3.post1,22.0,yellowbrick,,,,['sklearn'],62.0,,https://pypi.org/project/yellowbrick,2021-02-13 20:42:26.000000,62.0,216665.0,216665.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n267,Stable Baselines,hill-a/stable-baselines,,reinforcement-learning,https://github.com/hill-a/stable-baselines,https://github.com/hill-a/stable-baselines,MIT,2018-07-02 14:28:59.000000,2021-06-02 12:43:18.000000,2021-06-02 12:43:17.000000,618,128.0,763.0,3200.0,837.0,\"A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.\",111.0,26,True,2021-04-06 12:37:09.000000,2.10.2,31.0,stable-baselines,,,,,50.0,,https://pypi.org/project/stable-baselines,2021-04-06 12:37:09.000000,50.0,10571.0,10571.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n268,pytorch-summary,sksq96/pytorch-summary,,pytorch-utils,https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04.000000,2021-06-20 09:40:21.000000,2021-05-10 18:34:53.000000,365,118.0,37.0,3166.0,57.0,Model summary in PyTorch similar to `model.summary()` in Keras.,11.0,26,True,2018-09-26 05:07:28.000000,1.5.1,12.0,torchsummary,,,,['pytorch'],3013.0,2895.0,https://pypi.org/project/torchsummary,2018-09-26 05:07:28.000000,118.0,71997.0,71997.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n269,vaderSentiment,cjhutto/vaderSentiment,,nlp,https://github.com/cjhutto/vaderSentiment,https://github.com/cjhutto/vaderSentiment,MIT,2014-11-17 16:31:45.000000,2021-06-15 23:12:57.000000,2021-03-15 18:43:06.000000,782,33.0,74.0,3064.0,127.0,VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based..,10.0,26,True,2020-05-22 15:07:00.000000,3.3.2,15.0,vadersentiment,,,,,3083.0,2797.0,https://pypi.org/project/vadersentiment,2020-05-22 15:07:00.000000,286.0,134939.0,134939.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n270,nevergrad,facebookresearch/nevergrad,,hyperopt,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000000,2021-07-08 12:31:37.000000,2021-07-08 12:28:06.000000,285,81.0,137.0,3002.0,855.0,A Python toolbox for performing gradient-free optimization.,43.0,26,True,2021-01-28 12:05:40.000000,0.4.3,31.0,nevergrad,conda-forge/nevergrad,,,,202.0,188.0,https://pypi.org/project/nevergrad,2021-06-04 17:44:17.000000,14.0,30007.0,30702.0,https://anaconda.org/conda-forge/nevergrad,2021-06-14 12:44:22.518000,10438.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n271,TensorForce,tensorforce/tensorforce,,reinforcement-learning,https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22.000000,2021-07-06 21:43:41.000000,2021-07-03 12:34:17.000000,510,9.0,581.0,2987.0,2066.0,Tensorforce: a TensorFlow library for applied reinforcement learning.,78.0,26,True,2021-06-05 10:34:19.000000,0.6.4,13.0,tensorforce,,,,['tensorflow'],46.0,,https://pypi.org/project/tensorforce,2019-09-07 13:56:18.000000,46.0,1742.0,1742.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n272,VisPy,vispy/vispy,,data-viz,https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22.000000,2021-07-08 13:50:29.000000,2021-07-02 10:09:41.000000,562,338.0,877.0,2678.0,,High-performance interactive 2D/3D data visualization library.,155.0,26,True,2021-06-30 20:24:36.000000,0.7.0,17.0,vispy,conda-forge/vispy,,,['jupyter'],660.0,538.0,https://pypi.org/project/vispy,2021-06-30 19:22:15.000000,122.0,28600.0,32193.0,https://anaconda.org/conda-forge/vispy,2021-07-01 00:11:53.381000,160112.0,,,,,3.0,,,,vispy,https://www.npmjs.com/package/vispy,2020-03-15 14:39:41.516000,,35.0,,,,,,,,,,,,,\n273,pygal,Kozea/pygal,,graph,https://github.com/Kozea/pygal,https://github.com/Kozea/pygal,LGPL-3.0,2011-09-23 10:17:50.000000,2021-04-18 11:29:44.000000,2021-03-18 13:12:51.000000,384,164.0,242.0,2366.0,1014.0,PYthon svg GrAph plotting Library.,70.0,26,False,2017-07-05 09:22:41.000000,2.4.0,74.0,pygal,conda-forge/pygal,,,,1152.0,,https://pypi.org/project/pygal,2020-10-14 13:06:35.000000,1152.0,110965.0,111251.0,https://anaconda.org/conda-forge/pygal,2019-06-04 02:55:56.728000,7156.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n274,GluonNLP,dmlc/gluon-nlp,,nlp,https://github.com/dmlc/gluon-nlp,https://github.com/dmlc/gluon-nlp,Apache-2.0,2018-04-04 20:57:13.000000,2021-05-27 17:38:36.000000,2021-05-24 15:19:12.000000,508,252.0,291.0,2300.0,838.0,\"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..\",81.0,26,True,2020-08-13 19:17:42.000000,0.10.0,26.0,gluonnlp,,,,['mxnet'],550.0,528.0,https://pypi.org/project/gluonnlp,2020-08-13 19:17:42.000000,22.0,56966.0,56966.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n275,facenet-pytorch,timesler/facenet-pytorch,,image,https://github.com/timesler/facenet-pytorch,https://github.com/timesler/facenet-pytorch,MIT,2019-05-25 01:29:24.000000,2021-05-23 21:26:30.000000,2021-05-23 21:26:30.000000,475,43.0,89.0,2189.0,234.0,Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models.,14.0,26,True,2021-03-10 01:00:20.000000,2.5.2,31.0,facenet-pytorch,,,,['pytorch'],402.0,396.0,https://pypi.org/project/facenet-pytorch,2021-03-10 01:00:20.000000,6.0,14341.0,20233.0,,,,,,,,2.0,117841.0,,,,,,,,,,,,,,,,,,,,\n276,aubio,aubio/aubio,,audio,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44.000000,2021-05-18 20:58:41.000000,2021-01-19 09:51:49.000000,311,117.0,175.0,2145.0,4111.0,a library for audio and music analysis.,24.0,26,False,2019-02-27 09:00:43.000000,0.4.9,10.0,aubio,conda-forge/aubio,,,,272.0,236.0,https://pypi.org/project/aubio,2019-02-08 11:21:02.000000,36.0,2858.0,11339.0,https://anaconda.org/conda-forge/aubio,2021-01-19 16:59:52.641000,441017.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n277,haystack,deepset-ai/haystack,,nlp,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000000,2021-07-08 13:11:59.000000,2021-07-07 15:31:45.000000,405,100.0,629.0,2064.0,687.0,End-to-end Python framework for building natural language search interfaces to data. Leverages Transformers and the..,53.0,26,True,2021-06-21 16:50:42.000000,0.9.0,34.0,haystack,,,,,228.0,62.0,https://pypi.org/project/haystack,2017-07-03 04:44:52.000000,166.0,1641.0,1641.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n278,ipyparallel,ipython/ipyparallel,,distributed-ml,https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,BSD-3-Clause,2015-04-09 07:43:55.000000,2021-07-08 14:03:05.000000,2021-07-08 12:26:06.000000,795,66.0,220.0,1998.0,,Interactive Parallel Computing in Python.,101.0,26,True,2020-05-05 18:42:38.000000,6.3.0,24.0,ipyparallel,conda-forge/ipyparallel,,,['jupyter'],2109.0,1619.0,https://pypi.org/project/ipyparallel,2021-07-03 10:53:35.000000,490.0,60857.0,68311.0,https://anaconda.org/conda-forge/ipyparallel,2021-01-22 17:12:52.539000,469628.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n279,StellarGraph,stellargraph/stellargraph,,graph,https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51.000000,2021-06-15 17:03:28.000000,2021-02-18 01:03:15.000000,292,249.0,719.0,1975.0,2515.0,StellarGraph - Machine Learning on Graphs.,32.0,26,True,2020-06-30 05:15:21.000000,1.2.1,25.0,stellargraph,,,,['tensorflow'],78.0,74.0,https://pypi.org/project/stellargraph,2020-06-30 05:10:43.000000,4.0,10248.0,10248.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n280,pytorch-optimizer,jettify/pytorch-optimizer,,pytorch-utils,https://github.com/jettify/pytorch-optimizer,https://github.com/jettify/pytorch-optimizer,Apache-2.0,2020-01-03 03:16:39.000000,2021-07-06 02:11:30.000000,2021-07-06 02:10:38.000000,182,10.0,26.0,1954.0,403.0,torch-optimizer -- collection of optimizers for Pytorch.,21.0,26,True,2021-01-01 16:51:15.000000,0.1.0,19.0,torch_optimizer,,,,['pytorch'],249.0,249.0,https://pypi.org/project/torch_optimizer,2021-01-01 16:51:15.000000,0.0,24451.0,24451.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n281,PyFunctional,EntilZha/PyFunctional,,data-pipelines,https://github.com/EntilZha/PyFunctional,https://github.com/EntilZha/PyFunctional,MIT,2015-02-05 17:17:51.000000,2021-07-06 23:48:13.000000,2021-07-06 23:48:13.000000,103,3.0,118.0,1873.0,519.0,Python library for creating data pipelines with chain functional programming.,24.0,26,True,2021-01-12 19:21:07.000000,1.4.3,14.0,pyfunctional,,,,,301.0,301.0,https://pypi.org/project/pyfunctional,2021-01-12 19:14:48.000000,0.0,75049.0,75049.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n282,langid,saffsd/langid.py,,nlp,https://github.com/saffsd/langid.py,https://github.com/saffsd/langid.py,BSD-3-Clause,2011-04-29 00:16:56.000000,2020-01-01 10:49:30.000000,2017-07-15 02:49:17.000000,266,25.0,45.0,1815.0,242.0,Stand-alone language identification system.,9.0,26,False,2016-04-05 22:34:15.000000,1.1.6,8.0,langid,,,,,992.0,742.0,https://pypi.org/project/langid,2016-04-05 22:34:15.000000,250.0,367067.0,367067.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n283,category_encoders,scikit-learn-contrib/category_encoders,,sklearn-utils,https://github.com/scikit-learn-contrib/category_encoders,https://github.com/scikit-learn-contrib/category_encoders,BSD-3-Clause,2015-11-29 19:32:37.000000,2021-06-22 21:39:16.000000,2020-07-31 10:43:44.000000,311,74.0,136.0,1688.0,671.0,A library of sklearn compatible categorical variable encoders.,37.0,26,True,2020-04-29 02:09:51.000000,2.2.2,19.0,category_encoders,conda-forge/category_encoders,,,['sklearn'],23.0,,https://pypi.org/project/category_encoders,2018-10-14 14:15:54.000000,23.0,472006.0,473857.0,https://anaconda.org/conda-forge/category_encoders,2020-04-29 22:37:35.948000,111064.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n284,swifter,jmcarpenter2/swifter,,data-containers,https://github.com/jmcarpenter2/swifter,https://github.com/jmcarpenter2/swifter,MIT,2018-04-07 21:37:19.000000,2021-06-26 01:03:15.021000,2021-06-25 21:30:09.000000,83,18.0,82.0,1684.0,427.0,A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner.,14.0,26,True,2021-06-25 21:31:10.000000,1.0.9,73.0,swifter,conda-forge/swifter,,,['pandas'],380.0,348.0,https://pypi.org/project/swifter,2021-06-25 21:31:10.000000,32.0,78205.0,82229.0,https://anaconda.org/conda-forge/swifter,2021-06-26 01:03:15.021000,108658.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n285,HyperTools,ContextLab/hypertools,,data-viz,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25.000000,2021-06-15 19:22:37.000000,2021-06-15 18:54:54.000000,154,66.0,122.0,1651.0,1597.0,A Python toolbox for gaining geometric insights into high-dimensional data.,21.0,26,True,2021-06-15 19:22:37.000000,0.7.0,20.0,hypertools,,,,,138.0,129.0,https://pypi.org/project/hypertools,2021-06-15 19:22:37.000000,9.0,1833.0,1833.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n286,hnswlib,nmslib/hnswlib,,nn-search,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000000,2021-06-30 22:24:23.000000,2021-06-30 05:17:40.000000,283,103.0,114.0,1586.0,315.0,Header-only C++/python library for fast approximate nearest neighbors.,46.0,26,True,2021-06-30 22:24:23.000000,0.5.2,6.0,hnswlib,,,,,129.0,127.0,https://pypi.org/project/hnswlib,2021-06-30 22:24:23.000000,2.0,34410.0,34410.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n287,Pythran,serge-sans-paille/pythran,,others,https://github.com/serge-sans-paille/pythran,https://github.com/serge-sans-paille/pythran,BSD-3-Clause,2012-05-29 08:02:14.000000,2021-07-08 15:20:22.000000,2021-07-08 12:59:50.000000,148,105.0,583.0,1576.0,3408.0,Ahead of Time compiler for numeric kernels.,57.0,26,True,2021-05-23 08:40:13.000000,0.9.11,48.0,pythran,conda-forge/pythran,,,,81.0,55.0,https://pypi.org/project/pythran,2021-05-23 08:40:13.000000,26.0,34207.0,38765.0,https://anaconda.org/conda-forge/pythran,2021-06-12 21:22:43.374000,173209.0,,,,,2.0,,,,,,,,,,,,,,,pythran,python-pythran,,,,,\n288,datasketch,ekzhu/datasketch,,data-containers,https://github.com/ekzhu/datasketch,https://github.com/ekzhu/datasketch,MIT,2015-03-20 01:21:46.000000,2021-06-02 06:52:35.000000,2021-06-02 06:48:06.000000,211,23.0,94.0,1534.0,195.0,\"MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble.\",18.0,26,True,2020-12-23 21:01:43.000000,1.5.3,75.0,datasketch,,,,,382.0,296.0,https://pypi.org/project/datasketch,2020-12-23 21:01:43.000000,86.0,275516.0,275516.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,,,\n289,petastorm,uber/petastorm,,distributed-ml,https://github.com/uber/petastorm,https://github.com/uber/petastorm,Apache-2.0,2018-06-15 23:15:29.000000,2021-07-05 16:06:00.000000,2021-06-29 17:31:15.000000,198,138.0,121.0,1177.0,645.0,Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets..,39.0,26,True,2021-06-24 15:50:55.000000,0.11.1,71.0,petastorm,,,,,35.0,35.0,https://pypi.org/project/petastorm,2021-06-02 18:12:58.000000,0.0,121572.0,121580.0,,,,,,,,2.0,289.0,,,,,,,,,,,,,,,,,,,,\n290,bt,pmorissette/bt,,financial-data,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28.000000,2021-05-15 18:58:08.000000,2021-05-15 18:58:08.000000,290,35.0,212.0,1102.0,438.0,bt - flexible backtesting for Python.,24.0,26,True,2021-04-21 02:52:26.000000,0.2.9,25.0,bt,,,,,102.0,62.0,https://pypi.org/project/bt,2021-04-21 02:52:26.000000,40.0,8606.0,8606.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n291,fancyimpute,iskandr/fancyimpute,,sklearn-utils,https://github.com/iskandr/fancyimpute,https://github.com/iskandr/fancyimpute,Apache-2.0,2015-11-05 23:39:34.000000,2021-06-19 06:16:43.000000,2021-06-18 18:17:55.000000,153,5.0,106.0,974.0,199.0,Multivariate imputation and matrix completion algorithms implemented in Python.,11.0,26,True,2021-06-19 06:16:43.000000,0.6.0,27.0,fancyimpute,,,,['sklearn'],1066.0,1024.0,https://pypi.org/project/fancyimpute,2021-06-19 06:16:43.000000,42.0,16146.0,16146.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n292,ktrain,amaiya/ktrain,,ml-frameworks,https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39.000000,2021-06-28 14:14:44.000000,2021-06-23 22:06:55.000000,209,7.0,343.0,854.0,2345.0,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,12.0,26,True,2021-06-23 22:08:14.000000,0.26.4,152.0,ktrain,,,,['tensorflow'],191.0,189.0,https://pypi.org/project/ktrain,2021-06-23 22:07:39.000000,2.0,22389.0,22389.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n293,Nilearn,nilearn/nilearn,,medical-data,https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000000,2021-07-06 11:31:17.000000,2021-07-05 09:36:42.000000,416,378.0,1237.0,752.0,,Machine learning for NeuroImaging in Python.,173.0,26,True,2021-06-16 14:57:54.000000,0.8.0,37.0,nilearn,conda-forge/nilearn,,,['sklearn'],1397.0,1095.0,https://pypi.org/project/nilearn,2021-06-16 14:52:34.000000,302.0,23234.0,24911.0,https://anaconda.org/conda-forge/nilearn,2021-06-16 19:16:17.369000,103809.0,,,,,2.0,3.0,,,,,,,,,,,,,,,,,,,,\n294,zarr,zarr-developers/zarr-python,,data-containers,https://github.com/zarr-developers/zarr-python,https://github.com/zarr-developers/zarr-python,MIT,2015-12-15 14:49:40.000000,2021-07-06 18:44:26.000000,2021-07-02 07:11:26.000000,120,199.0,244.0,729.0,1431.0,\"An implementation of chunked, compressed, N-dimensional arrays for Python.\",45.0,26,True,2021-05-20 14:34:13.000000,2.8.3,37.0,zarr,conda-forge/zarr,,,,823.0,751.0,https://pypi.org/project/zarr,2021-05-20 14:34:13.000000,72.0,44885.0,57966.0,https://anaconda.org/conda-forge/zarr,2021-05-21 03:10:15.230000,811081.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n295,Hail,hail-is/hail,,medical-data,https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000000,2021-07-08 14:41:26.000000,2021-07-08 14:33:20.000000,195,55.0,1952.0,729.0,7617.0,Scalable genomic data analysis.,74.0,26,True,2021-06-21 20:27:17.000000,0.2.70,90.0,hail,,,,['spark'],43.0,43.0,https://pypi.org/project/hail,2021-06-21 20:27:17.000000,0.0,8886.0,8886.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n296,CLTK,cltk/cltk,,nlp,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000000,2021-07-03 17:12:10.000000,2021-06-17 14:44:55.000000,301,122.0,379.0,669.0,3576.0,The Classical Language Toolkit.,111.0,26,True,2021-06-17 14:45:44.000000,1.0.16,186.0,cltk,,,,,239.0,171.0,https://pypi.org/project/cltk,2021-06-17 14:45:44.000000,68.0,2395.0,2395.0,,,,,,,,2.0,22.0,,,,,,,,,,,,,,,,,,,,\n297,SMAC3,automl/SMAC3,,hyperopt,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-3-Clause,2016-08-17 10:58:05.000000,2021-06-25 13:51:47.000000,2020-10-29 10:14:55.000000,159,77.0,254.0,589.0,1888.0,Sequential Model-based Algorithm Configuration.,30.0,26,True,2021-03-15 08:26:39.000000,0.13.1,29.0,smac,,,,,58.0,,https://pypi.org/project/smac,2020-10-29 10:57:56.000000,58.0,28908.0,28908.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n298,audioread,beetbox/audioread,,audio,https://github.com/beetbox/audioread,https://github.com/beetbox/audioread,MIT,2011-11-08 19:53:18.000000,2021-03-16 02:44:53.632000,2020-10-20 11:22:05.000000,83,31.0,44.0,368.0,232.0,cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python.,20.0,26,True,2020-10-20 11:23:09.000000,2.1.9,25.0,audioread,conda-forge/audioread,,,,6141.0,5555.0,https://pypi.org/project/audioread,2020-10-20 11:23:09.000000,586.0,618769.0,623765.0,https://anaconda.org/conda-forge/audioread,2021-03-16 02:44:53.632000,299818.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n299,TensorFlow Cloud,tensorflow/cloud,,tensorflow-utils,https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59.000000,2021-07-08 04:42:03.000000,2021-07-07 20:43:17.000000,53,48.0,26.0,291.0,552.0,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,23.0,26,False,2021-06-17 01:15:10.000000,0.1.16,19.0,tensorflow-cloud,,,,['tensorflow'],82.0,82.0,https://pypi.org/project/tensorflow-cloud,2021-06-17 01:15:10.000000,0.0,533949.0,533949.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n300,Cython BLIS,explosion/cython-blis,,others,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16.000000,2021-03-15 19:42:45.000000,2021-03-15 19:42:37.000000,25,6.0,16.0,170.0,526.0,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,9.0,26,False,2020-12-07 08:56:44.000000,0.7.4,35.0,blis,conda-forge/cython-blis,,,,11890.0,11500.0,https://pypi.org/project/blis,2020-12-07 08:56:44.000000,390.0,2484680.0,2518736.0,https://anaconda.org/conda-forge/cython-blis,2021-01-31 09:13:47.685000,953569.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n301,spleeter,deezer/spleeter,,audio,https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000000,2021-06-29 20:46:58.000000,2021-06-02 14:43:25.000000,1762,93.0,471.0,16839.0,463.0,Deezer source separation library including pretrained models.,17.0,25,True,2021-04-15 15:05:07.000000,2.2.2,33.0,spleeter,conda-forge/spleeter,,,['tensorflow'],0.0,,https://pypi.org/project/spleeter,2021-04-15 15:05:07.000000,0.0,8073.0,64364.0,https://anaconda.org/conda-forge/spleeter,2020-06-30 14:33:43.220000,55107.0,,,,,2.0,1124263.0,,,,,,,,,,,,,,,,,,,,\n302,Ludwig,ludwig-ai/ludwig,,ml-frameworks,https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000000,2021-07-06 20:16:33.000000,2021-07-02 23:25:58.000000,915,121.0,440.0,7754.0,2166.0,Ludwig is a toolbox that allows to train and evaluate deep learning models without the need to write code.,92.0,25,True,2021-06-15 04:22:19.000000,0.4,19.0,ludwig,,,,['tensorflow'],103.0,91.0,https://pypi.org/project/ludwig,2021-06-15 04:19:55.000000,12.0,2477.0,2477.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n303,pysc2,deepmind/pysc2,,others,https://github.com/deepmind/pysc2,https://github.com/deepmind/pysc2,Apache-2.0,2017-07-25 18:16:57.000000,2020-07-29 16:22:31.000000,2019-09-27 15:23:22.000000,1103,57.0,203.0,7275.0,513.0,StarCraft II Learning Environment.,34.0,25,False,2019-09-27 15:48:01.000000,3.0.0,7.0,pysc2,,,,,303.0,263.0,https://pypi.org/project/pysc2,2019-09-27 15:48:01.000000,40.0,1438.0,2009.0,,,,,,,,2.0,26872.0,,,,,,,,,,,,,,,,,,,,\n304,Milvus,milvus-io/milvus,,nn-search,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000000,2021-07-08 13:10:46.000000,2021-07-08 12:17:43.000000,931,274.0,2423.0,6785.0,7446.0,\"An open source vector database powered by Faiss, NMSLIB and Annoy.\",145.0,25,True,2021-06-16 06:50:46.000000,1.1.1,50.0,pymilvus,,milvusdb/milvus,,,6.0,,https://pypi.org/project/pymilvus,2021-06-28 10:17:14.000000,6.0,18718.0,36972.0,,,,https://hub.docker.com/r/milvusdb/milvus,2021-06-28 10:04:35.567321,13.0,401597.0,2.0,,,,,,,,,,,,,,,,,,,,,\n305,PaddleHub,PaddlePaddle/PaddleHub,,others,https://github.com/PaddlePaddle/PaddleHub,https://github.com/PaddlePaddle/PaddleHub,Apache-2.0,2018-12-21 06:00:48.000000,2021-07-06 07:20:58.000000,2021-07-06 02:49:40.000000,1327,278.0,590.0,6674.0,,\"Awesome pre-trained models toolkit based on PaddlePaddle.(300+ models including Image, Text, Audio and Video with Easy..\",39.0,25,True,2021-04-27 09:56:48.000000,2.1.0,45.0,paddlehub,,,,['paddle'],334.0,334.0,https://pypi.org/project/paddlehub,2021-04-27 09:56:48.000000,0.0,3544.0,3562.0,,,,,,,,2.0,508.0,,,,,,,,,,,,,,,,,,,,\n306,Vaex,vaexio/vaex,,data-containers,https://github.com/vaexio/vaex,https://github.com/vaexio/vaex,MIT,2014-09-27 09:44:42.000000,2021-07-08 14:35:59.000000,2021-07-08 14:07:00.000000,486,324.0,498.0,6419.0,3153.0,\"Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualize and explore big tabular data at a billion..\",46.0,25,True,2021-06-17 14:04:57.000000,4.3.0,53.0,vaex,conda-forge/vaex,,,,4.0,,https://pypi.org/project/vaex,2021-06-17 14:04:57.000000,4.0,15148.0,17067.0,https://anaconda.org/conda-forge/vaex,2021-06-18 07:36:59.502000,109297.0,,,,,3.0,209.0,,,,,,,,,,,,,,,,,,,,\n307,Trax,google/trax,,others,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000000,2021-07-07 16:31:57.000000,2021-07-07 13:02:13.000000,607,77.0,118.0,6288.0,1511.0,Trax Deep Learning with Clear Code and Speed.,70.0,25,True,2021-05-21 19:54:43.000000,1.3.9,22.0,trax,,,,,32.0,32.0,https://pypi.org/project/trax,2021-05-21 19:54:03.000000,,4993.0,4993.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n308,PyText,facebookresearch/pytext,,nlp,https://github.com/facebookresearch/pytext,https://github.com/facebookresearch/pytext,BSD-3-Clause,2018-07-31 23:40:46.000000,2021-07-08 04:26:38.000000,2021-07-08 04:26:32.000000,804,145.0,74.0,6212.0,1607.0,A natural language modeling framework based on PyTorch.,199.0,25,True,2020-06-08 23:30:58.000000,0.3.3,13.0,pytext-nlp,,,,['pytorch'],88.0,87.0,https://pypi.org/project/pytext-nlp,2020-06-08 22:49:33.000000,1.0,480.0,487.0,,,,,,,,2.0,242.0,,,,,,,,,,,,,,,,,,,,\n309,carla,carla-simulator/carla,,others,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000000,2021-07-08 08:21:23.000000,2021-04-21 21:38:33.000000,1858,410.0,2891.0,6174.0,4761.0,Open-source simulator for autonomous driving research.,122.0,25,True,2020-12-23 07:08:35.000000,0.9.11,22.0,carla,,,,,80.0,76.0,https://pypi.org/project/carla,2019-04-28 17:45:24.000000,4.0,725.0,725.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n310,stanza,stanfordnlp/stanza,,nlp,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56.000000,2021-07-07 06:56:43.000000,2021-07-01 22:25:16.000000,706,66.0,465.0,5505.0,,Official Stanford NLP Python Library for Many Human Languages.,38.0,25,True,2021-06-17 17:12:31.000000,1.2.1,11.0,stanza,stanfordnlp/stanza,,,,547.0,543.0,https://pypi.org/project/stanza,2021-06-08 21:17:38.000000,4.0,47832.0,48072.0,https://anaconda.org/stanfordnlp/stanza,2021-06-08 23:29:51.684000,3850.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n311,keras-rl,keras-rl/keras-rl,,reinforcement-learning,https://github.com/keras-rl/keras-rl,https://github.com/keras-rl/keras-rl,MIT,2016-07-02 15:53:12.000000,2020-11-20 07:32:13.000000,2019-11-11 22:14:54.000000,1323,40.0,218.0,5078.0,308.0,Deep Reinforcement Learning for Keras.,40.0,25,False,2018-06-01 07:52:24.000000,0.4.2,8.0,keras-rl,,,,['tensorflow'],603.0,501.0,https://pypi.org/project/keras-rl,2018-06-01 07:52:24.000000,102.0,2136.0,2136.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n312,Great Expectations,great-expectations/great_expectations,,data-pipelines,https://github.com/great-expectations/great_expectations,https://github.com/great-expectations/great_expectations,Apache-2.0,2017-09-11 00:18:46.000000,2021-07-08 14:07:04.000000,2021-07-07 23:57:06.000000,596,111.0,804.0,4650.0,,Always know what to expect from your data.,206.0,25,True,2021-06-30 21:49:41.000000,0.13.21,112.0,great_expectations,,,,,6.0,,https://pypi.org/project/great_expectations,2021-06-30 21:34:01.000000,6.0,949815.0,949815.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n313,Edward,blei-lab/edward,,probabilistics,https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05.000000,2019-10-22 20:30:48.000000,2018-07-25 01:28:08.000000,767,212.0,327.0,4642.0,1796.0,\"A probabilistic programming language in TensorFlow. Deep generative models, variational inference.\",87.0,25,False,2018-01-22 06:03:37.000000,1.3.5,28.0,edward,,,,['tensorflow'],309.0,231.0,https://pypi.org/project/edward,2018-01-22 06:03:05.000000,78.0,2481.0,2481.0,,,,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,,,\n314,Augmentor,mdbloice/Augmentor,,image,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55.000000,2020-11-10 05:20:01.000000,2020-03-09 11:32:02.000000,805,118.0,67.0,4471.0,511.0,Image augmentation library in Python for machine learning.,22.0,25,False,2020-01-17 11:59:53.000000,0.2.8,20.0,Augmentor,,,,,374.0,332.0,https://pypi.org/project/Augmentor,2020-01-17 11:59:53.000000,42.0,10818.0,10818.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n315,textgenrnn,minimaxir/textgenrnn,,nlp,https://github.com/minimaxir/textgenrnn,https://github.com/minimaxir/textgenrnn,MIT,2017-08-07 02:13:37.000000,2021-06-18 06:05:47.000000,2020-07-14 02:41:10.000000,684,117.0,85.0,4450.0,174.0,Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines..,19.0,25,True,2020-02-03 01:07:00.000000,2.0.0,14.0,textgenrnn,,,,['tensorflow'],947.0,919.0,https://pypi.org/project/textgenrnn,2020-02-02 21:16:15.000000,28.0,2927.0,2940.0,,,,,,,,2.0,523.0,,,,,,,,,,,,,,,,,,,,\n316,VisualDL,PaddlePaddle/VisualDL,,ml-experiments,https://github.com/PaddlePaddle/VisualDL,https://github.com/PaddlePaddle/VisualDL,Apache-2.0,2017-12-20 12:34:31.000000,2021-06-21 06:09:59.000000,2021-06-21 06:09:59.000000,559,35.0,325.0,4147.0,,Deep Learning Visualization Toolkit.,30.0,25,True,2021-05-24 15:45:53.000000,2.2.0,32.0,visualdl,,,,['paddle'],470.0,460.0,https://pypi.org/project/visualdl,2021-05-23 12:50:12.000000,10.0,20031.0,20041.0,,,,,,,,2.0,131.0,,,,,,,,,,,,,,,,,,,,\n317,BigDL,intel-analytics/BigDL,,distributed-ml,https://github.com/intel-analytics/BigDL,https://github.com/intel-analytics/BigDL,Apache-2.0,2016-08-29 07:59:50.000000,2021-07-08 06:21:34.000000,2021-07-08 06:21:34.000000,914,192.0,730.0,3744.0,2673.0,BigDL: Distributed Deep Learning Framework for Apache Spark.,74.0,25,True,2021-04-21 01:53:25.000000,0.12.2,40.0,bigdl,,,,,32.0,26.0,https://pypi.org/project/bigdl,2021-07-07 07:11:19.000000,6.0,3373.0,3373.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,com.intel.analytics.bigdl:bigdl-SPARK_2.4,https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4,2021-04-20 01:33:14.000000,0.0,\n318,mlpack,mlpack/mlpack,,ml-frameworks,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59.000000,2021-07-08 13:20:40.000000,2021-07-03 20:35:27.000000,1347,147.0,1260.0,3730.0,26550.0,mlpack: a scalable C++ machine learning library --.,274.0,25,True,2020-10-28 18:28:47.000000,3.4.2,40.0,mlpack,conda-forge/mlpack,,,,0.0,,https://pypi.org/project/mlpack,2020-10-28 18:28:47.000000,0.0,1088.0,3330.0,https://anaconda.org/conda-forge/mlpack,2021-07-07 23:51:11.771000,80714.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n319,TensorFlowOnSpark,yahoo/TensorFlowOnSpark,,distributed-ml,https://github.com/yahoo/TensorFlowOnSpark,https://github.com/yahoo/TensorFlowOnSpark,Apache-2.0,2017-01-20 18:15:57.000000,2021-07-07 00:07:03.000000,2021-07-07 00:06:56.000000,945,12.0,350.0,3694.0,626.0,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,33.0,25,True,2021-05-25 22:25:31.000000,2.2.4,31.0,tensorflowonspark,,,,\"['tensorflow', 'spark']\",5.0,,https://pypi.org/project/tensorflowonspark,2021-05-25 20:44:29.000000,5.0,104649.0,104649.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n320,lightfm,lyst/lightfm,,recommender-systems,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00.000000,2021-03-25 21:33:37.000000,2021-02-07 21:16:06.000000,591,80.0,342.0,3683.0,428.0,\"A Python implementation of LightFM, a hybrid recommendation algorithm.\",44.0,25,True,2020-11-27 19:48:30.000000,1.16,14.0,lightfm,conda-forge/lightfm,,,,559.0,503.0,https://pypi.org/project/lightfm,2020-11-27 19:55:08.000000,56.0,156361.0,158702.0,https://anaconda.org/conda-forge/lightfm,2021-02-07 22:19:58.097000,98325.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n321,PML,KevinMusgrave/pytorch-metric-learning,,pytorch-utils,https://github.com/KevinMusgrave/pytorch-metric-learning,https://github.com/KevinMusgrave/pytorch-metric-learning,MIT,2019-10-23 17:20:35.000000,2021-06-30 00:39:18.000000,2021-06-11 08:16:56.000000,434,43.0,231.0,3383.0,705.0,\"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.\",19.0,25,True,2021-05-10 02:52:47.000000,0.9.99,160.0,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,,['pytorch'],101.0,101.0,https://pypi.org/project/pytorch-metric-learning,2021-06-30 00:39:18.000000,0.0,11165.0,11335.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2021-05-10 03:54:12.379000,3063.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n322,Activeloop,activeloopai/Hub,,data-pipelines,https://github.com/activeloopai/Hub,https://github.com/activeloopai/Hub,MPL-2.0,2019-08-09 06:17:59.000000,2021-07-08 14:12:41.000000,2021-07-08 06:52:36.000000,258,32.0,242.0,3326.0,2201.0,Fastest dataset optimization and management for machine and deep learning. Stream data real-time & version-control it...,14.0,25,True,2021-07-08 13:25:08.000000,2.0.1,101.0,hub,,,,,178.0,126.0,https://pypi.org/project/hub,2021-07-07 15:33:43.000000,52.0,2680.0,2680.0,,,,,,,,3.0,,,-3.0,,,,,,,,,,,,,,,,,,\n323,DoWhy,Microsoft/dowhy,,interpretability,https://github.com/microsoft/dowhy,https://github.com/microsoft/dowhy,MIT,2018-05-31 13:07:04.000000,2021-07-06 18:34:17.000000,2021-07-02 12:43:18.000000,451,28.0,96.0,3034.0,455.0,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,43.0,25,True,2021-03-03 03:44:46.000000,0.6,6.0,dowhy,conda-forge/dowhy,,,,48.0,48.0,https://pypi.org/project/dowhy,2021-03-03 03:45:16.000000,0.0,37269.0,37444.0,https://anaconda.org/conda-forge/dowhy,2021-04-28 19:20:04.698000,2459.0,,,,,2.0,23.0,,,,,,,,,,,,,,,,,,,,\n324,Neural Network Libraries,sony/nnabla,,ml-frameworks,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10.000000,2021-07-07 00:06:33.000000,2021-07-07 00:06:15.000000,300,29.0,35.0,2469.0,2741.0,Neural Network Libraries.,59.0,25,True,2021-06-27 06:20:56.000000,1.20.1,57.0,nnabla,,,,,34.0,,https://pypi.org/project/nnabla,2021-06-26 22:40:20.000000,34.0,4684.0,4694.0,,,,,,,,3.0,523.0,,,,,,,,,,,,,,,,,,,,\n325,neuralcoref,huggingface/neuralcoref,,nlp,https://github.com/huggingface/neuralcoref,https://github.com/huggingface/neuralcoref,MIT,2017-07-03 13:04:16.000000,2021-06-22 10:51:48.000000,2021-06-22 10:51:48.000000,411,51.0,224.0,2327.0,116.0,Fast Coreference Resolution in spaCy with Neural Networks.,21.0,25,True,2019-04-08 11:28:27.000000,4.0.0,5.0,neuralcoref,conda-forge/neuralcoref,,,,380.0,362.0,https://pypi.org/project/neuralcoref,2019-04-08 09:56:00.000000,18.0,8311.0,8837.0,https://anaconda.org/conda-forge/neuralcoref,2020-02-21 22:10:40.453000,8876.0,,,,,2.0,218.0,,,,,,,,,,,,,,,,,,,,\n326,nlpaug,makcedward/nlpaug,,nlp,https://github.com/makcedward/nlpaug,https://github.com/makcedward/nlpaug,MIT,2019-03-21 03:00:17.000000,2021-07-08 03:54:39.000000,2021-06-20 21:17:13.000000,250,28.0,102.0,2187.0,592.0,Data augmentation for NLP.,15.0,25,True,2021-06-20 22:18:56.000000,1.1.4,30.0,nlpaug,,,,,149.0,147.0,https://pypi.org/project/nlpaug,2021-06-20 21:22:32.000000,2.0,22756.0,22756.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n327,scikit-plot,reiinakano/scikit-plot,,interpretability,https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59.000000,2021-02-26 14:37:45.000000,2018-08-19 12:37:47.000000,248,21.0,39.0,2103.0,130.0,An intuitive library to add plotting functionality to scikit-learn objects.,13.0,25,False,2018-08-19 12:21:01.000000,0.3.7,27.0,scikit-plot,conda-forge/scikit-plot,,,['sklearn'],1164.0,1110.0,https://pypi.org/project/scikit-plot,2018-08-19 12:18:46.000000,54.0,171733.0,173661.0,https://anaconda.org/conda-forge/scikit-plot,2019-06-05 14:23:59.043000,92544.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n328,Hyperas,maxpumperla/hyperas,,hyperopt,https://github.com/maxpumperla/hyperas,https://github.com/maxpumperla/hyperas,MIT,2016-02-19 14:45:10.000000,2020-12-22 08:31:48.000000,2020-12-22 08:31:47.000000,305,88.0,158.0,2088.0,209.0,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,21.0,25,True,2019-02-28 09:16:54.000000,0.4.1,9.0,hyperas,,,,['tensorflow'],247.0,205.0,https://pypi.org/project/hyperas,2019-02-28 09:16:54.000000,42.0,41650.0,41650.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n329,causalml,uber/causalml,,others,https://github.com/uber/causalml,https://github.com/uber/causalml,Apache-2.0,2019-07-09 02:08:58.000000,2021-07-05 19:34:02.000000,2021-06-08 14:15:33.000000,306,40.0,150.0,2085.0,319.0,Uplift modeling and causal inference with machine learning algorithms.,27.0,25,True,2021-02-19 20:58:43.000000,0.10.0,13.0,causalml,,,,,28.0,28.0,https://pypi.org/project/causalml,2021-02-19 20:32:15.000000,0.0,32562.0,32562.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n330,TextDistance,life4/textdistance,,nlp,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10.000000,2021-06-22 10:43:43.000000,2021-06-22 10:43:43.000000,165,9.0,,1997.0,306.0,\"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..\",10.0,25,True,2021-01-29 09:04:46.000000,.4.2.1,21.0,textdistance,conda-forge/textdistance,,,,759.0,731.0,https://pypi.org/project/textdistance,2021-01-29 09:03:27.000000,28.0,270893.0,272027.0,https://anaconda.org/conda-forge/textdistance,2021-01-29 15:41:57.288000,43039.0,,,,,2.0,106.0,,,,,,,,,,,,,,,,,,,,\n331,polyglot,aboSamoor/polyglot,,nlp,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,GPL-3.0,2014-06-30 02:07:45.000000,2021-04-28 03:41:03.000000,2020-09-22 22:35:28.000000,296,132.0,64.0,1863.0,271.0,Multilingual text (NLP) processing toolkit.,26.0,25,False,2016-07-03 20:05:42.000000,16.7.4,8.0,polyglot,,,,,652.0,522.0,https://pypi.org/project/polyglot,2016-07-03 20:05:42.000000,130.0,87041.0,87041.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n332,pgmpy,pgmpy/pgmpy,,probabilistics,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000000,2021-07-03 15:08:57.000000,2021-07-03 15:08:42.000000,585,224.0,519.0,1833.0,6.0,Python Library for learning (Structure and Parameter) and inference (Statistical and Causal) in Bayesian Networks.,95.0,25,True,2021-06-30 09:15:38.000000,0.1.15,14.0,pgmpy,,,,,255.0,243.0,https://pypi.org/project/pgmpy,2021-06-30 08:05:07.000000,12.0,27283.0,27289.0,,,,,,,,3.0,80.0,,,,,,,,,,,,,,,,,,,,\n333,deepface,serengil/deepface,,image,https://github.com/serengil/deepface,https://github.com/serengil/deepface,MIT,2020-02-08 20:42:28.000000,2021-07-07 07:57:40.000000,2021-07-07 07:57:39.000000,420,3.0,259.0,1817.0,583.0,\"A Lightweight Deep Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Framework for Python.\",14.0,25,True,2021-07-02 21:34:03.000000,0.0.63,62.0,deepface,,,,,175.0,175.0,https://pypi.org/project/deepface,2021-07-02 21:34:03.000000,0.0,11795.0,11795.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n334,tslearn,tslearn-team/tslearn,,time-series-data,https://github.com/tslearn-team/tslearn,https://github.com/tslearn-team/tslearn,BSD-2-Clause,2017-05-04 13:08:13.000000,2021-06-18 09:57:39.000000,2021-06-18 09:57:39.000000,235,69.0,171.0,1698.0,,A machine learning toolkit dedicated to time-series data.,32.0,25,True,2021-05-17 21:36:57.000000,0.5.1.0,93.0,tslearn,conda-forge/tslearn,,,['sklearn'],284.0,262.0,https://pypi.org/project/tslearn,2021-05-17 21:47:34.000000,22.0,104936.0,110516.0,https://anaconda.org/conda-forge/tslearn,2021-05-18 05:23:58.496000,223209.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n335,Pandaral·lel,nalepae/pandarallel,,data-containers,https://github.com/nalepae/pandarallel,https://github.com/nalepae/pandarallel,BSD-3-Clause,2019-03-10 11:58:29.000000,2021-05-06 18:57:22.000000,2021-02-04 21:27:26.000000,108,73.0,57.0,1637.0,114.0,A simple and efficient tool to parallelize Pandas operations on all availableCPUs.,14.0,25,True,2021-02-04 21:35:01.000000,1.5.2,29.0,pandarallel,,,,\"['pandas', 'jupyter']\",247.0,247.0,https://pypi.org/project/pandarallel,2021-02-04 21:35:01.000000,0.0,130613.0,130613.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n336,scattertext,JasonKessler/scattertext,,nlp,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12.000000,2021-07-07 11:03:19.668000,2021-07-07 05:57:36.000000,224,17.0,64.0,1623.0,351.0,Beautiful visualizations of how language differs among document types.,11.0,25,True,2021-07-07 06:00:32.000000,0.1.4,133.0,scattertext,conda-forge/scattertext,,,,213.0,197.0,https://pypi.org/project/scattertext,2021-07-07 06:00:32.000000,16.0,3891.0,5015.0,https://anaconda.org/conda-forge/scattertext,2021-07-07 11:03:19.668000,52850.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n337,TextAttack,QData/TextAttack,,adversarial,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000000,2021-07-02 14:14:01.000000,2021-07-02 14:14:01.000000,183,48.0,89.0,1537.0,2072.0,\"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP..\",36.0,25,True,2021-06-25 12:50:33.000000,0.3.0,38.0,textattack,,,,,26.0,26.0,https://pypi.org/project/textattack,2021-06-25 12:50:33.000000,0.0,2937.0,2937.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n338,Elephas,maxpumperla/elephas,,distributed-ml,https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19.000000,2021-04-23 12:34:45.000000,2021-04-21 22:10:18.000000,290,23.0,123.0,1487.0,496.0,Distributed Deep learning with Keras & Spark.,27.0,25,True,2021-04-23 12:34:45.000000,2.1.0,21.0,elephas,,,,\"['keras', 'spark']\",45.0,42.0,https://pypi.org/project/elephas,2021-04-21 22:11:22.000000,3.0,18620.0,18620.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n339,jellyfish,jamesturk/jellyfish,,nlp,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,BSD-2-Clause,2010-07-09 20:41:11.000000,2021-04-29 19:45:29.000000,2021-04-29 19:45:29.000000,131,12.0,90.0,1486.0,,a python library for doing approximate and phonetic matching of strings.,23.0,25,True,2020-05-21 20:37:01.000000,0.8.2,27.0,jellyfish,conda-forge/jellyfish,,,,3192.0,2546.0,https://pypi.org/project/jellyfish,2020-05-21 20:37:01.000000,646.0,1276366.0,1278726.0,https://anaconda.org/conda-forge/jellyfish,2021-01-08 15:04:47.681000,136919.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n340,IB-insync,erdewit/ib_insync,,financial-data,https://github.com/erdewit/ib_insync,https://github.com/erdewit/ib_insync,BSD-2-Clause,2017-07-12 12:09:24.000000,2021-06-11 11:52:15.000000,2021-06-11 11:52:11.000000,431,8.0,319.0,1471.0,591.0,Python sync/async framework for Interactive Brokers API.,28.0,25,True,2021-04-26 18:22:55.000000,0.9.66,91.0,ib_insync,conda-forge/ib-insync,,,,12.0,,https://pypi.org/project/ib_insync,2021-04-26 18:22:55.000000,12.0,12550.0,12987.0,https://anaconda.org/conda-forge/ib-insync,2021-02-25 02:28:19.625000,10505.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n341,chainercv,chainer/chainercv,,image,https://github.com/chainer/chainercv,https://github.com/chainer/chainercv,MIT,2017-02-13 04:15:10.000000,2021-07-01 16:54:50.000000,2020-01-07 11:48:31.000000,318,54.0,168.0,1457.0,4930.0,ChainerCV: a Library for Deep Learning in Computer Vision.,39.0,25,False,2019-06-12 11:55:02.000000,0.13.1,24.0,chainercv,,,,,60.0,,https://pypi.org/project/chainercv,2019-06-12 11:55:40.000000,60.0,7021.0,7021.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n342,Fairness 360,Trusted-AI/AIF360,,interpretability,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15.000000,2021-06-15 04:04:28.000000,2021-06-15 04:04:27.000000,457,48.0,55.0,1432.0,333.0,\"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..\",44.0,25,True,2021-03-04 18:11:34.000000,0.4.0,9.0,aif360,,,,,107.0,103.0,https://pypi.org/project/aif360,2021-03-04 18:11:34.000000,4.0,6126.0,6126.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n343,ViZDoom,mwydmuch/ViZDoom,,reinforcement-learning,https://github.com/mwydmuch/ViZDoom,https://github.com/mwydmuch/ViZDoom,MIT,2015-06-26 18:38:23.000000,2021-07-07 09:09:01.000000,2021-06-16 08:42:22.000000,298,89.0,329.0,1223.0,1471.0,Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information.,44.0,25,True,2020-10-29 15:56:20.000000,1.1.8,19.0,vizdoom,,,,,140.0,116.0,https://pypi.org/project/vizdoom,2020-10-29 15:56:20.000000,24.0,1164.0,1336.0,,,,,,,,2.0,11069.0,,,,,,,,,,,,,,,,,,,,\n344,PyCUDA,inducer/pycuda,,gpu-utilities,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000000,2021-06-25 18:49:21.000000,2021-06-25 18:49:20.000000,239,55.0,139.0,1176.0,,\"CUDA integration for Python, plus shiny features.\",73.0,25,True,2019-08-12 04:15:37.000000,2019.1.2,47.0,pycuda,,,,,1202.0,910.0,https://pypi.org/project/pycuda,2021-04-03 22:28:54.000000,292.0,31147.0,31147.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n345,shapash,MAIF/shapash,,interpretability,https://github.com/MAIF/shapash,https://github.com/MAIF/shapash,Apache-2.0,2020-04-29 07:34:23.000000,2021-07-06 15:55:09.000000,2021-07-06 15:55:08.000000,162,7.0,65.0,1104.0,797.0,Shapash makes Machine Learning models transparent and understandable by everyone.,23.0,25,True,2021-06-18 14:03:50.000000,1.4.2,13.0,shapash,,,,['jupyter'],21.0,21.0,https://pypi.org/project/shapash,2021-06-18 14:03:50.000000,,15398.0,15398.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n346,spacy-transformers,explosion/spacy-transformers,,nlp,https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000000,2021-07-08 07:19:57.000000,2021-07-08 07:17:00.000000,113,48.0,,978.0,1331.0,\"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.\",15.0,25,True,2021-04-21 07:12:29.000000,1.0.2,45.0,spacy-transformers,,,,['spacy'],211.0,205.0,https://pypi.org/project/spacy-transformers,2021-06-14 10:39:09.000000,6.0,45936.0,45936.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n347,bcolz,Blosc/bcolz,,data-containers,https://github.com/Blosc/bcolz,https://github.com/Blosc/bcolz,BSD-3-Clause,2010-08-18 15:27:02.000000,2021-04-02 08:59:38.000000,2020-09-10 12:12:45.000000,118,126.0,122.0,922.0,1280.0,A columnar data container that can be compressed.,33.0,25,True,2018-04-13 07:44:26.000000,1.2.1,23.0,bcolz,conda-forge/bcolz,,,,2578.0,1610.0,https://pypi.org/project/bcolz,2018-04-13 07:44:26.000000,968.0,26834.0,31607.0,https://anaconda.org/conda-forge/bcolz,2019-11-05 21:09:48.045000,252970.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n348,ffn,pmorissette/ffn,,financial-data,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09.000000,2021-05-15 18:59:42.000000,2021-04-24 00:58:10.000000,195,18.0,76.0,891.0,351.0,ffn - a financial function library for Python.,26.0,25,True,2021-04-21 02:47:21.000000,0.3.6,27.0,ffn,,,,,171.0,129.0,https://pypi.org/project/ffn,2021-04-21 02:47:21.000000,42.0,24594.0,24594.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n349,kmodes,nicodv/kmodes,,others,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40.000000,2021-03-07 06:05:41.000000,2021-03-07 06:05:39.000000,347,20.0,112.0,874.0,462.0,\"Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data.\",18.0,25,True,2021-02-13 03:34:23.000000,0.11.0,13.0,kmodes,,,,,679.0,653.0,https://pypi.org/project/kmodes,2021-02-13 03:26:34.000000,26.0,139721.0,139721.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n350,empyrical,quantopian/empyrical,,financial-data,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52.000000,2020-10-14 13:28:13.625000,2020-10-14 13:22:39.000000,266,27.0,26.0,805.0,167.0,Common financial risk and performance metrics. Used by zipline and pyfolio.,22.0,25,True,2020-10-13 21:29:19.000000,0.5.5,21.0,empyrical,conda-forge/empyrical,,,,877.0,655.0,https://pypi.org/project/empyrical,2020-10-13 21:29:19.000000,222.0,48363.0,48658.0,https://anaconda.org/conda-forge/empyrical,2020-10-14 13:28:13.625000,12106.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n351,pythreejs,jupyter-widgets/pythreejs,,data-viz,https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,BSD-3-Clause,2013-12-23 17:02:11.000000,2021-03-02 13:32:39.505000,2021-02-26 14:01:59.000000,162,63.0,142.0,743.0,1659.0,A Jupyter - Three.js bridge.,27.0,25,True,2021-02-26 14:01:21.000000,2.3.0,43.0,pythreejs,conda-forge/pythreejs,,,['jupyter'],51.0,17.0,https://pypi.org/project/pythreejs,2021-02-26 14:01:21.000000,26.0,32700.0,44957.0,https://anaconda.org/conda-forge/pythreejs,2021-03-02 13:32:39.505000,315857.0,,,,,3.0,,,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,2021-02-26 13:59:06.062000,8.0,7163.0,,,,,,,,,,,,,\n352,dask-ml,dask/dask-ml,,distributed-ml,https://github.com/dask/dask-ml,https://github.com/dask/dask-ml,BSD-3-Clause,2017-06-15 15:56:06.000000,2021-07-02 18:03:25.000000,2021-05-23 16:30:58.000000,197,200.0,222.0,726.0,,Scalable Machine Learning with Dask.,65.0,25,True,2021-05-03 13:02:34.000000,1.9.0,28.0,dask-ml,conda-forge/dask-ml,,,,470.0,428.0,https://pypi.org/project/dask-ml,2021-05-03 13:02:34.000000,42.0,86254.0,91329.0,https://anaconda.org/conda-forge/dask-ml,2021-05-03 15:21:05.642000,228395.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n353,pyjanitor,pyjanitor-devs/pyjanitor,,others,https://github.com/pyjanitor-devs/pyjanitor,https://github.com/pyjanitor-devs/pyjanitor,MIT,2018-03-04 22:43:33.000000,2021-07-01 00:53:59.000000,2021-07-01 00:53:59.000000,123,101.0,295.0,696.0,1162.0,Clean APIs for data cleaning. Python implementation of R package Janitor.,88.0,25,True,2021-02-25 17:30:52.000000,0.20.13,49.0,pyjanitor,conda-forge/pyjanitor,,,,108.0,104.0,https://pypi.org/project/pyjanitor,2021-02-25 17:30:52.000000,4.0,10677.0,13017.0,https://anaconda.org/conda-forge/pyjanitor,2021-03-25 12:03:18.871000,93632.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n354,mahotas,luispedro/mahotas,,image,https://github.com/luispedro/mahotas,https://github.com/luispedro/mahotas,MIT,2010-01-31 00:13:06.000000,2021-05-31 13:33:21.000000,2021-05-31 13:33:21.000000,132,16.0,58.0,689.0,1280.0,Computer Vision in Python.,31.0,25,True,2020-08-16 17:22:48.000000,1.4.11,57.0,mahotas,conda-forge/mahotas,,,,848.0,658.0,https://pypi.org/project/mahotas,2020-08-16 17:22:48.000000,190.0,34963.0,39489.0,https://anaconda.org/conda-forge/mahotas,2021-01-22 05:47:20.379000,289715.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n355,PDPbox,SauceCat/PDPbox,,data-viz,https://github.com/SauceCat/PDPbox,https://github.com/SauceCat/PDPbox,MIT,2017-06-26 08:01:54.000000,2021-06-24 15:32:01.000000,2021-03-14 16:01:01.000000,89,19.0,38.0,582.0,227.0,python partial dependence plot toolbox.,7.0,25,True,2021-03-14 16:21:17.000000,0.2.1,3.0,pdpbox,conda-forge/pdpbox,,,,435.0,401.0,https://pypi.org/project/pdpbox,2021-03-14 16:21:17.000000,34.0,64983.0,65320.0,https://anaconda.org/conda-forge/pdpbox,2021-03-14 19:37:51.465000,8088.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n356,tensorflow-upstream,ROCmSoftwarePlatform/tensorflow-upstream,,ml-frameworks,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,Apache-2.0,2018-04-09 21:24:50.000000,2021-07-07 14:59:37.000000,2021-07-05 23:14:32.000000,64,55.0,244.0,563.0,79524.0,TensorFlow ROCm port.,3740.0,25,True,2021-05-21 16:17:54.000000,2.4.3,66.0,tensorflow-rocm,,,,['tensorflow'],,,https://pypi.org/project/tensorflow-rocm,2021-05-21 16:17:54.000000,,1577.0,1577.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,,,\n357,mpi4py,mpi4py/mpi4py,,distributed-ml,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-3-Clause,2013-09-05 14:44:25.000000,2021-07-08 14:52:28.000000,2021-07-08 14:15:54.000000,66,7.0,24.0,429.0,2271.0,Python bindings for MPI.,17.0,25,True,2020-07-27 06:40:19.000000,3.0.3,13.0,mpi4py,conda-forge/mpi4py,,,,752.0,,https://pypi.org/project/mpi4py,2019-11-04 13:05:10.000000,752.0,106037.0,118043.0,https://anaconda.org/conda-forge/mpi4py,2021-06-29 05:19:36.466000,690838.0,,,,,2.0,1150.0,,,,,,,,,,,,,,,,,,,,\n358,PyNNDescent,lmcinnes/pynndescent,,nn-search,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000000,2021-07-06 21:40:43.689000,2021-07-06 18:19:28.000000,55,31.0,39.0,414.0,508.0,A Python nearest neighbor descent for approximate nearest neighbors.,15.0,25,True,2021-07-06 16:06:28.000000,0.5.4,23.0,pynndescent,conda-forge/pynndescent,,,,610.0,604.0,https://pypi.org/project/pynndescent,2021-07-06 16:06:28.000000,6.0,403920.0,410855.0,https://anaconda.org/conda-forge/pynndescent,2021-07-06 21:40:43.689000,173377.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n359,hvPlot,holoviz/hvplot,,data-viz,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000000,2021-07-08 14:11:09.000000,2021-07-05 11:00:08.000000,56,120.0,251.0,409.0,409.0,\"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.\",29.0,25,True,2021-05-23 04:35:42.000000,0.7.2,23.0,hvplot,conda-forge/hvplot,,,,684.0,654.0,https://pypi.org/project/hvplot,2021-07-05 11:29:13.000000,30.0,35872.0,38779.0,https://anaconda.org/conda-forge/hvplot,2021-05-23 10:57:42.453000,101761.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n360,python-soundfile,bastibe/python-soundfile,,audio,https://github.com/bastibe/python-soundfile,https://github.com/bastibe/python-soundfile,BSD-3-Clause,2013-08-27 13:36:52.000000,2021-01-13 07:52:51.000000,2020-12-01 18:42:47.000000,46,57.0,92.0,389.0,493.0,\"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.\",19.0,25,True,2019-12-04 10:03:39.000000,0.10.3post1,7.0,soundfile,,,,,8526.0,7786.0,https://pypi.org/project/soundfile,2019-11-27 12:16:19.000000,740.0,853331.0,853358.0,,,,,,,,2.0,2441.0,,,,,,,,,,,,,,,,,,,,\n361,ml-metadata,google/ml-metadata,,ml-experiments,https://github.com/google/ml-metadata,https://github.com/google/ml-metadata,Apache-2.0,2019-01-15 21:02:09.000000,2021-07-08 07:27:28.000000,2021-07-07 20:46:13.000000,69,19.0,46.0,343.0,526.0,For recording and retrieving metadata associated with ML developer and data scientist workflows.,13.0,25,True,2021-05-21 02:42:33.000000,1.0.0,27.0,ml-metadata,,,,,133.0,133.0,https://pypi.org/project/ml-metadata,2021-05-21 02:42:33.000000,0.0,630147.0,630195.0,,,,,,,,2.0,1347.0,,,,,,,,,,,,,,,,,,,,\n362,DeepSpeech,mozilla/DeepSpeech,,audio,https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53.000000,2021-03-31 15:32:56.000000,,3125,103.0,,16974.0,,\"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..\",93.0,24,True,2020-12-10 17:22:09.000000,0.9.3,100.0,deepspeech,,,,['tensorflow'],58.0,,https://pypi.org/project/deepspeech,2020-12-19 10:05:12.000000,58.0,9740.0,9740.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n363,Ciphey,Ciphey/Ciphey,,nlp,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39.000000,2021-07-08 08:39:37.000000,2021-07-08 08:39:37.000000,424,59.0,203.0,7309.0,1838.0,\"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.\",45.0,24,True,2021-06-06 17:14:16.000000,5.14.0,50.0,ciphey,,remnux/ciphey,,,,,https://pypi.org/project/ciphey,2021-06-06 17:13:48.000000,,8759.0,9192.0,,,,https://hub.docker.com/r/remnux/ciphey,2021-06-06 19:39:58.688952,4.0,10405.0,3.0,,,,,,,,,,,,,,,,,,,,,\n364,NuPIC,numenta/nupic,,ml-frameworks,https://github.com/numenta/nupic,https://github.com/numenta/nupic,AGPL-3.0,2013-04-05 23:14:27.000000,2021-03-25 21:39:47.000000,2019-10-23 20:45:07.000000,1585,456.0,1337.0,6251.0,6625.0,\"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..\",121.0,24,False,2018-06-01 15:37:54.000000,1.0.5,53.0,nupic,,,,,142.0,104.0,https://pypi.org/project/nupic,2018-06-01 15:37:54.000000,38.0,2942.0,2942.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n365,Face Alignment,1adrianb/face-alignment,,image,https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44.000000,2021-05-05 16:30:37.000000,2021-05-05 16:30:24.000000,1074,39.0,208.0,5042.0,204.0,2D and 3D Face alignment library build using pytorch.,23.0,24,True,2021-04-28 22:17:22.000000,1.3.4,10.0,face-alignment,,,,['pytorch'],12.0,,https://pypi.org/project/face-alignment,2021-04-28 22:17:22.000000,12.0,6844.0,6844.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n366,Lasagne,Lasagne/Lasagne,,ml-frameworks,https://github.com/Lasagne/Lasagne,https://github.com/Lasagne/Lasagne,MIT,2014-09-11 15:31:41.000000,2019-11-20 20:28:31.000000,2019-11-20 20:28:30.000000,983,139.0,402.0,3780.0,1161.0,Lightweight library to build and train neural networks in Theano.,72.0,24,False,2015-08-13 21:00:09.000000,0.1,1.0,lasagne,,,,,1336.0,830.0,https://pypi.org/project/lasagne,2015-08-13 21:10:53.000000,506.0,2718.0,2718.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n367,torchdiffeq,rtqichen/torchdiffeq,,pytorch-utils,https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25.000000,2021-06-02 23:05:29.000000,2021-06-02 23:04:37.000000,613,27.0,119.0,3588.0,218.0,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,19.0,24,True,2021-06-02 23:04:51.000000,0.2.2,6.0,torchdiffeq,,,,['pytorch'],114.0,114.0,https://pypi.org/project/torchdiffeq,2021-06-02 23:04:51.000000,0.0,4917.0,4917.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n368,Snips NLU,snipsco/snips-nlu,,nlp,https://github.com/snipsco/snips-nlu,https://github.com/snipsco/snips-nlu,Apache-2.0,2017-02-08 16:16:36.000000,2021-05-03 12:18:32.000000,2021-05-03 12:18:31.000000,471,51.0,196.0,3520.0,2154.0,Snips Python library to extract meaning from text.,22.0,24,True,2020-01-15 10:13:17.000000,0.20.2,58.0,snips-nlu,,,,,16.0,,https://pypi.org/project/snips-nlu,2020-01-15 10:13:17.000000,16.0,4338.0,4338.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n369,TensorTrade,tensortrade-org/tensortrade,,financial-data,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32.000000,2021-06-19 21:14:44.000000,2021-06-19 21:14:43.000000,766,19.0,154.0,3308.0,902.0,\"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.\",53.0,24,True,2021-05-10 18:04:30.000000,1.0.3,27.0,tensortrade,,,,,20.0,19.0,https://pypi.org/project/tensortrade,2021-05-10 18:00:35.000000,1.0,1148.0,1148.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n370,einops,arogozhnikov/einops,,ml-frameworks,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08.000000,2021-06-06 15:02:21.000000,2021-06-04 04:11:08.000000,119,26.0,48.0,3304.0,321.0,\"Deep learning operations reinvented (for pytorch, tensorflow, jax and others).\",12.0,24,True,2020-09-08 08:33:29.000000,0.3,3.0,einops,conda-forge/einops,,,,752.0,742.0,https://pypi.org/project/einops,2020-09-08 08:21:26.000000,10.0,144243.0,144496.0,https://anaconda.org/conda-forge/einops,2020-10-15 20:10:19.681000,5577.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n371,xLearn,aksnzhy/xlearn,,ml-frameworks,https://github.com/aksnzhy/xlearn,https://github.com/aksnzhy/xlearn,Apache-2.0,2017-06-10 08:09:31.000000,2021-01-28 14:17:44.000000,2020-03-03 10:12:35.000000,515,190.0,108.0,2894.0,1340.0,\"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..\",30.0,24,False,2019-04-25 02:10:05.000000,0.4.4,15.0,xlearn,,,,,65.0,63.0,https://pypi.org/project/xlearn,2018-12-04 11:05:06.000000,2.0,2250.0,2316.0,,,,,,,,3.0,2648.0,,,,,,,,,,,,,,,,,,,,\n372,keras-vis,raghakot/keras-vis,,interpretability,https://github.com/raghakot/keras-vis,https://github.com/raghakot/keras-vis,MIT,2016-11-11 23:27:34.000000,2020-04-20 01:03:13.000000,2020-04-20 01:03:12.000000,597,114.0,99.0,2840.0,195.0,Neural network visualization toolkit for keras.,10.0,24,False,2017-07-06 04:55:04.000000,0.4.1,11.0,keras-vis,,,,['tensorflow'],1197.0,1141.0,https://pypi.org/project/keras-vis,2017-07-06 04:55:04.000000,56.0,3893.0,3893.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n373,D-Tale,man-group/dtale,,data-viz,https://github.com/man-group/dtale,https://github.com/man-group/dtale,LGPL-2.1,2019-07-15 09:34:48.000000,2021-07-08 02:39:15.000000,2021-07-05 03:14:25.000000,193,33.0,346.0,2481.0,451.0,Visualizer for pandas data structures.,15.0,24,True,2021-07-05 13:52:51.000000,1.51.0,125.0,dtale,conda-forge/dtale,,,\"['pandas', 'jupyter']\",187.0,187.0,https://pypi.org/project/dtale,2021-07-05 13:47:20.000000,0.0,11559.0,15470.0,https://anaconda.org/conda-forge/dtale,2021-07-05 14:14:48.676000,66497.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n374,Core ML Tools,apple/coremltools,,model-serialisation,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000000,2021-07-07 21:19:43.000000,2021-07-07 21:19:43.000000,374,392.0,369.0,2282.0,,\"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.\",114.0,24,True,2021-02-05 02:07:15.000000,4.1,30.0,coremltools,,,,,823.0,557.0,https://pypi.org/project/coremltools,2021-07-07 20:28:20.000000,266.0,57311.0,57368.0,,,,,,,,2.0,2663.0,,-1.0,,,,,,,,,,,,,,,,,,\n375,fastNLP,fastnlp/fastNLP,,nlp,https://github.com/fastnlp/fastNLP,https://github.com/fastnlp/fastNLP,Apache-2.0,2018-03-07 13:30:20.000000,2021-06-12 16:01:07.000000,2021-04-12 13:45:28.000000,377,19.0,136.0,2202.0,1742.0,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,50.0,24,True,2020-11-06 15:31:29.000000,0.6.0,10.0,fastnlp,,,,,36.0,35.0,https://pypi.org/project/fastnlp,2019-02-04 02:35:37.000000,1.0,1218.0,1219.0,,,,,,,,3.0,58.0,,,,,,,,,,,,,,,,,,,,\n376,Acme,deepmind/acme,,reinforcement-learning,https://github.com/deepmind/acme,https://github.com/deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000000,2021-07-08 08:52:53.000000,2021-07-08 08:52:11.000000,246,54.0,64.0,2170.0,506.0,A library of reinforcement learning components and agents.,43.0,24,True,2021-05-26 17:12:29.000000,0.2.1,10.0,dm-acme,,,,['tensorflow'],35.0,35.0,https://pypi.org/project/dm-acme,2021-05-26 17:12:54.000000,0.0,1636.0,1636.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n377,Alphalens,quantopian/alphalens,,financial-data,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15.000000,2020-09-05 16:48:14.000000,2020-04-27 18:40:41.000000,746,38.0,145.0,1973.0,522.0,Performance analysis of predictive (alpha) stock factors.,25.0,24,False,2020-04-30 15:42:52.000000,0.4.0,10.0,alphalens,conda-forge/alphalens,,,,440.0,412.0,https://pypi.org/project/alphalens,2020-04-27 21:03:10.000000,28.0,2764.0,3066.0,https://anaconda.org/conda-forge/alphalens,2020-05-16 13:52:44.922000,12420.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n378,SRU,asappresearch/sru,,pytorch-utils,https://github.com/asappresearch/sru,https://github.com/asappresearch/sru,MIT,2017-08-28 20:37:41.000000,2021-06-29 18:11:30.000000,2021-05-19 15:52:48.000000,290,53.0,66.0,1955.0,400.0,Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755).,21.0,24,True,2021-05-18 16:13:10.000000,2.6.0,32.0,sru,,,,['pytorch'],18.0,16.0,https://pypi.org/project/sru,2021-06-17 23:33:37.000000,2.0,4040.0,4040.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n379,python_speech_features,jameslyons/python_speech_features,,audio,https://github.com/jameslyons/python_speech_features,https://github.com/jameslyons/python_speech_features,MIT,2013-10-31 02:42:08.000000,2020-12-31 13:27:02.000000,2020-12-31 13:27:01.000000,558,23.0,49.0,1934.0,120.0,This library provides common speech features for ASR including MFCCs and filterbank energies.,19.0,24,True,2020-01-14 14:12:10.000000,0.6.1,6.0,python_speech_features,,,,,300.0,,https://pypi.org/project/python_speech_features,2017-08-16 01:46:13.000000,300.0,80900.0,80900.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n380,Essentia,MTG/essentia,,audio,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000000,2021-07-08 14:44:56.000000,2021-06-14 16:36:23.000000,422,331.0,579.0,1857.0,2864.0,\"C++ library for audio and music analysis, description and synthesis, including Python bindings.\",71.0,24,False,2015-03-31 16:33:30.000000,2.0,9.0,essentia,,,,,220.0,210.0,https://pypi.org/project/essentia,2021-01-13 00:12:18.000000,10.0,2596.0,2596.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n381,efficientnet,qubvel/efficientnet,,tensorflow-utils,https://github.com/qubvel/efficientnet,https://github.com/qubvel/efficientnet,Apache-2.0,2019-05-30 20:21:09.000000,2021-04-18 18:12:08.000000,2020-09-15 16:19:36.000000,422,59.0,55.0,1853.0,64.0,Implementation of EfficientNet model. Keras and TensorFlow Keras.,8.0,24,True,2020-09-15 16:26:00.000000,1.1.1,9.0,efficientnet,,,,['tensorflow'],675.0,671.0,https://pypi.org/project/efficientnet,2020-09-15 16:26:00.000000,4.0,87492.0,94416.0,,,,,,,,3.0,180030.0,,,,,,,,,,,,,,,,,,,,\n382,Spektral,danielegrattarola/spektral,,graph,https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10.000000,2021-06-29 10:09:58.000000,2021-03-24 08:34:28.000000,234,34.0,129.0,1794.0,945.0,Graph Neural Networks with Keras and Tensorflow 2.,16.0,24,True,2021-03-20 11:39:58.000000,1.0.6,29.0,spektral,,,,\"['tensorflow\"\"']\",58.0,58.0,https://pypi.org/project/spektral,2021-03-20 11:39:58.000000,0.0,3912.0,3912.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n383,textacy,chartbeat-labs/textacy,,nlp,https://github.com/chartbeat-labs/textacy,https://github.com/chartbeat-labs/textacy,Apache-2.0,2016-02-03 16:52:45.000000,2021-05-31 17:18:30.000000,2021-05-31 16:43:05.000000,226,32.0,207.0,1703.0,,\"NLP, before and after spaCy.\",31.0,24,True,2021-04-12 15:49:48.000000,0.11.0,30.0,textacy,conda-forge/textacy,,,,154.0,,https://pypi.org/project/textacy,2021-04-12 15:49:48.000000,154.0,52529.0,54385.0,https://anaconda.org/conda-forge/textacy,2021-04-13 18:57:20.207000,92848.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n384,Pillow-SIMD,uploadcare/pillow-simd,,image,https://github.com/uploadcare/pillow-simd,https://github.com/uploadcare/pillow-simd,PIL,2014-11-12 15:33:02.000000,2021-06-10 04:31:09.000000,2020-06-02 14:50:14.000000,68,11.0,55.0,1615.0,,The friendly PIL fork.,310.0,24,False,2020-01-02 05:19:26.000000,7.0.0,35.0,pillow-simd,,,,,467.0,417.0,https://pypi.org/project/pillow-simd,2020-01-26 14:30:27.000000,50.0,229065.0,229065.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n385,dtreeviz,parrt/dtreeviz,,interpretability,https://github.com/parrt/dtreeviz,https://github.com/parrt/dtreeviz,MIT,2018-08-13 21:45:15.000000,2021-05-28 11:22:03.000000,2021-05-27 19:09:47.000000,208,20.0,80.0,1572.0,364.0,A python library for decision tree visualization and model interpretation.,16.0,24,True,2021-03-16 21:49:18.000000,1.2,23.0,dtreeviz,,,,,176.0,172.0,https://pypi.org/project/dtreeviz,2021-04-05 19:35:08.000000,4.0,48005.0,48005.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n386,mtcnn,ipazc/mtcnn,,image,https://github.com/ipazc/mtcnn,https://github.com/ipazc/mtcnn,MIT,2018-01-05 04:08:32.000000,2021-02-03 15:49:06.000000,2021-01-13 23:50:58.000000,397,60.0,36.0,1559.0,55.0,\"MTCNN face detection implementation for TensorFlow, as a PIP package.\",14.0,24,True,2019-11-14 17:37:05.000000,0.1.0,10.0,mtcnn,,,,['tensorflow'],1334.0,1292.0,https://pypi.org/project/mtcnn,2019-11-14 17:37:05.000000,42.0,21080.0,21080.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n387,sklearn-contrib-lightning,scikit-learn-contrib/lightning,,sklearn-utils,https://github.com/scikit-learn-contrib/lightning,https://github.com/scikit-learn-contrib/lightning,BSD-3-Clause,2012-01-11 13:53:52.000000,2021-06-15 21:59:11.000000,2021-06-15 21:53:37.000000,193,50.0,40.0,1462.0,728.0,\"Large-scale linear classification, regression and ranking in Python.\",17.0,24,True,2021-06-16 21:04:08.000000,0.6.1,10.0,sklearn-contrib-lightning,conda-forge/sklearn-contrib-lightning,,,['sklearn'],94.0,84.0,https://pypi.org/project/sklearn-contrib-lightning,2021-06-15 21:53:28.000000,10.0,1545.0,4075.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2020-12-20 22:58:20.890000,148724.0,,,,,2.0,52.0,,,,,,,,,,,,,,,,,,,,\n388,bonobo,python-bonobo/bonobo,,data-pipelines,https://github.com/python-bonobo/bonobo,https://github.com/python-bonobo/bonobo,Apache-2.0,2016-12-09 04:03:23.000000,2021-06-01 22:24:45.000000,2021-03-10 15:44:00.000000,119,68.0,108.0,1446.0,978.0,Extract Transform Load for Python 3.5+.,37.0,24,True,2019-05-16 13:19:48.000000,0.6.4,38.0,bonobo,,,http://docs.bonobo-project.org/en/master/,,170.0,118.0,https://pypi.org/project/bonobo,2019-07-20 13:33:19.000000,52.0,8979.0,8979.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n389,streamparse,Parsely/streamparse,,data-pipelines,https://github.com/Parsely/streamparse,https://github.com/Parsely/streamparse,Apache-2.0,2014-05-02 20:33:50.000000,2021-06-21 22:49:33.000000,2020-12-18 18:43:59.000000,219,69.0,263.0,1434.0,1059.0,\"Run Python in Apache Storm topologies. Pythonic API, CLI tooling, and a topology DSL.\",41.0,24,True,2020-10-07 19:53:15.000000,4.0.0,47.0,streamparse,,,,,100.0,48.0,https://pypi.org/project/streamparse,2020-10-07 19:45:19.000000,52.0,4363.0,4363.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n390,TNT,pytorch/tnt,,ml-experiments,https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58.000000,2021-01-22 09:14:29.000000,2021-01-05 19:36:17.000000,190,30.0,35.0,1327.0,156.0,\"Simple tools for logging and visualizing, loading and training.\",35.0,24,True,2019-11-15 12:57:59.000000,0.0.5.1,3.0,torchnet,,,,['pytorch'],658.0,608.0,https://pypi.org/project/torchnet,2018-07-29 23:16:03.000000,50.0,29037.0,29037.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n391,sense2vec,explosion/sense2vec,,nlp,https://github.com/explosion/sense2vec,https://github.com/explosion/sense2vec,MIT,2016-01-23 22:15:49.000000,2021-06-07 21:03:32.000000,2021-04-18 01:50:23.000000,209,16.0,83.0,1259.0,452.0,Contextually-keyed word vectors.,15.0,24,True,2021-04-19 07:05:28.000000,3.0.0,22.0,sense2vec,conda-forge/sense2vec,,,,86.0,74.0,https://pypi.org/project/sense2vec,2021-04-19 07:05:28.000000,12.0,3673.0,5043.0,https://anaconda.org/conda-forge/sense2vec,2020-03-16 22:19:07.337000,20249.0,,,,,3.0,17570.0,,,,,,,,,,,,,,,,,,,,\n392,FairScale,facebookresearch/fairscale,,distributed-ml,https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000000,2021-07-07 02:56:58.000000,2021-07-07 02:56:58.000000,93,43.0,142.0,1244.0,483.0,PyTorch extensions for high performance and large scale training.,36.0,24,True,2021-05-18 02:29:18.000000,0.3.7,19.0,fairscale,,,,['pytorch'],38.0,38.0,https://pypi.org/project/fairscale,2021-05-18 00:45:15.000000,0.0,12104.0,12104.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n393,garage,rlworkgroup/garage,,reinforcement-learning,https://github.com/rlworkgroup/garage,https://github.com/rlworkgroup/garage,MIT,2018-06-10 21:31:23.000000,2021-06-24 21:13:53.000000,2021-06-22 02:58:36.000000,227,205.0,791.0,1211.0,1213.0,A toolkit for reproducible reinforcement learning research.,75.0,24,True,2021-03-23 22:18:36.000000,2021.3.0,21.0,garage,,,,['tensorflow'],19.0,19.0,https://pypi.org/project/garage,2021-03-23 22:18:36.000000,0.0,334.0,334.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n394,pycm,sepandhaghighi/pycm,,others,https://github.com/sepandhaghighi/pycm,https://github.com/sepandhaghighi/pycm,MIT,2018-01-22 19:46:54.000000,2021-06-28 01:25:17.000000,2021-03-11 15:42:19.000000,93,12.0,155.0,1106.0,2619.0,Multi-class confusion matrix library in Python.,14.0,24,True,2021-03-11 15:51:49.000000,3.1,35.0,pycm,,,,,120.0,110.0,https://pypi.org/project/pycm,2021-03-11 15:52:23.000000,10.0,9912.0,9912.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n395,TabPy,tableau/TabPy,,others,https://github.com/tableau/TabPy,https://github.com/tableau/TabPy,MIT,2016-09-27 21:26:03.000000,2021-02-04 23:28:56.000000,2021-02-04 23:28:56.000000,410,13.0,265.0,1097.0,828.0,Execute Python code on the fly and display results in Tableau visualizations:.,40.0,24,True,2020-11-11 19:06:41.000000,2.3.1,24.0,tabpy,,,,,64.0,64.0,https://pypi.org/project/tabpy,2020-11-11 19:06:41.000000,0.0,13391.0,13391.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n396,livelossplot,stared/livelossplot,,ml-experiments,https://github.com/stared/livelossplot,https://github.com/stared/livelossplot,MIT,2018-03-10 17:51:43.000000,2021-06-04 14:44:15.000000,2021-06-04 14:24:35.000000,137,3.0,70.0,1094.0,325.0,\"Live training loss plot in Jupyter Notebook for Keras, PyTorch and others.\",17.0,24,True,2021-02-03 16:25:47.000000,0.5.4,24.0,livelossplot,,,,['jupyter'],580.0,570.0,https://pypi.org/project/livelossplot,2021-02-03 16:25:47.000000,10.0,41199.0,41199.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n397,ArcGIS API,Esri/arcgis-python-api,,geospatial-data,https://github.com/Esri/arcgis-python-api,https://github.com/Esri/arcgis-python-api,Apache-2.0,2016-03-16 01:09:14.000000,2021-07-08 05:00:59.000000,2021-07-06 14:14:53.000000,756,118.0,238.0,1065.0,3193.0,Documentation and samples for ArcGIS API for Python.,70.0,24,True,2021-07-06 17:37:19.000000,1.9,29.0,arcgis,,esridocker/arcgis-api-python-notebook,,,20.0,,https://pypi.org/project/arcgis,2021-04-12 03:28:09.000000,20.0,31711.0,31779.0,,,,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,2020-03-06 00:53:45.164342,33.0,4413.0,3.0,,,-1.0,,,,,,,,,,,,,,,,,,\n398,pandasql,yhat/pandasql,,data-containers,https://github.com/yhat/pandasql,https://github.com/yhat/pandasql,MIT,2013-02-18 01:53:56.000000,2020-08-14 13:00:13.000000,2017-02-01 15:40:30.000000,143,44.0,23.0,1001.0,127.0,sqldf for pandas.,15.0,24,False,2016-04-20 21:52:36.000000,0.7.3,31.0,pandasql,,,,['pandas'],929.0,831.0,https://pypi.org/project/pandasql,2016-04-20 21:52:36.000000,98.0,479719.0,479719.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n399,Streamz,python-streamz/streamz,,time-series-data,https://github.com/python-streamz/streamz,https://github.com/python-streamz/streamz,BSD-3-Clause,2017-04-04 21:45:49.000000,2021-06-23 01:24:18.000000,2021-06-23 01:24:18.000000,121,95.0,136.0,960.0,749.0,Real-time stream processing for python.,41.0,24,True,2021-01-14 20:47:38.000000,0.6.2,15.0,streamz,conda-forge/streamz,,,,234.0,218.0,https://pypi.org/project/streamz,2021-01-14 20:47:38.000000,16.0,10042.0,13818.0,https://anaconda.org/conda-forge/streamz,2021-01-15 14:38:35.032000,173702.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n400,PennyLane,PennyLaneAI/PennyLane,,others,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000000,2021-07-08 14:47:29.000000,2021-07-08 13:23:26.000000,278,109.0,321.0,918.0,1988.0,PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum..,59.0,24,True,2021-06-22 01:43:40.000000,0.16.0,23.0,pennylane,,,,,20.0,,https://pypi.org/project/pennylane,2021-06-22 01:43:40.000000,20.0,5615.0,5616.0,,,,,,,,2.0,56.0,,,,,,,,,,,,,,,,,,,,\n401,PySAL,pysal/pysal,,geospatial-data,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42.000000,2021-02-08 21:30:44.240000,2021-02-01 00:35:48.000000,241,58.0,585.0,857.0,4119.0,PySAL: Python Spatial Analysis Library Meta-Package.,71.0,24,True,2021-02-02 02:59:42.000000,2.4.0,25.0,pysal,conda-forge/pysal,,,,36.0,,https://pypi.org/project/pysal,2021-02-02 02:59:42.000000,36.0,13632.0,20579.0,https://anaconda.org/conda-forge/pysal,2021-02-08 21:30:44.240000,416826.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n402,openTSNE,pavlin-policar/openTSNE,,data-viz,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000000,2021-06-06 07:19:06.000000,2021-06-06 07:18:34.000000,88,6.0,86.0,855.0,557.0,\"Extensible, parallel implementations of t-SNE.\",10.0,24,True,2021-04-25 19:32:11.000000,0.6.0,21.0,opentsne,conda-forge/opentsne,,,,236.0,232.0,https://pypi.org/project/opentsne,2021-04-25 19:24:59.000000,4.0,29267.0,32746.0,https://anaconda.org/conda-forge/opentsne,2021-05-28 14:28:32.305000,107853.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n403,pyclustering,annoviko/pyclustering,,others,https://github.com/annoviko/pyclustering,https://github.com/annoviko/pyclustering,BSD-3-Clause,2014-02-25 18:59:03.000000,2021-02-12 23:22:26.000000,2021-02-12 19:04:59.000000,197,53.0,584.0,852.0,2079.0,\"pyclustring is a Python, C++ data mining library.\",26.0,24,True,2020-11-25 22:33:07.000000,0.10.1.2,46.0,pyclustering,conda-forge/pyclustering,,,,251.0,215.0,https://pypi.org/project/pyclustering,2020-11-25 22:41:20.000000,36.0,38217.0,39510.0,https://anaconda.org/conda-forge/pyclustering,2021-01-25 21:14:55.053000,24459.0,,,,,2.0,344.0,,,,,,,,,,,,,,,,,,,,\n404,pyopencl,inducer/pyopencl,,others,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,MIT,2011-04-06 02:51:33.000000,2021-07-07 15:54:32.199000,2021-07-07 05:35:01.000000,213,63.0,224.0,817.0,,\"OpenCL integration for Python, plus shiny features.\",87.0,24,True,2021-06-27 23:38:57.000000,2021.2.5,68.0,pyopencl,conda-forge/pyopencl,,,,770.0,532.0,https://pypi.org/project/pyopencl,2021-07-07 05:35:37.000000,238.0,10947.0,18969.0,https://anaconda.org/conda-forge/pyopencl,2021-07-07 15:54:32.199000,457293.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n405,PySwarms,ljvmiranda921/pyswarms,,others,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45.000000,2021-07-04 09:41:26.000000,2021-06-23 11:19:05.000000,251,20.0,165.0,797.0,409.0,A research toolkit for particle swarm optimization in Python.,43.0,24,True,2021-01-03 21:34:15.000000,1.3.0,20.0,pyswarms,,,,,122.0,122.0,https://pypi.org/project/pyswarms,2021-01-03 21:34:15.000000,0.0,8708.0,8708.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n406,pingouin,raphaelvallat/pingouin,,probabilistics,https://github.com/raphaelvallat/pingouin,https://github.com/raphaelvallat/pingouin,GPL-3.0,2018-04-01 01:10:22.000000,2021-06-25 15:05:43.000000,2021-06-25 15:05:39.000000,61,20.0,127.0,761.0,1118.0,Statistical package in Python based on Pandas.,20.0,24,False,2021-05-27 22:16:23.000000,0.3.12,33.0,pingouin,conda-forge/pingouin,,,,264.0,254.0,https://pypi.org/project/pingouin,2021-05-27 22:10:24.000000,10.0,45315.0,46594.0,https://anaconda.org/conda-forge/pingouin,2021-05-28 00:27:57.122000,39674.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n407,GPyOpt,SheffieldML/GPyOpt,,hyperopt,https://github.com/SheffieldML/GPyOpt,https://github.com/SheffieldML/GPyOpt,BSD-3-Clause,2014-08-13 09:58:25.000000,2020-11-17 10:32:02.000000,2020-11-05 15:16:04.000000,226,100.0,186.0,739.0,514.0,Gaussian Process Optimization using GPy.,49.0,24,True,2020-03-19 21:21:18.000000,1.2.6,11.0,gpyopt,,,,,234.0,198.0,https://pypi.org/project/gpyopt,2020-03-19 11:37:45.000000,36.0,14174.0,14174.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n408,CellProfiler,CellProfiler/CellProfiler,,image,https://github.com/CellProfiler/CellProfiler,https://github.com/CellProfiler/CellProfiler,BSD-3-Clause,2011-04-05 12:10:12.000000,2021-07-06 20:20:45.000000,2021-06-28 18:37:37.000000,288,174.0,2809.0,588.0,15341.0,An open-source application for biological image analysis.,120.0,24,True,2021-06-24 19:10:01.000000,4.2.0,42.0,cellprofiler,,,,,4.0,4.0,https://pypi.org/project/cellprofiler,2017-09-04 18:03:36.000000,,1271.0,1283.0,,,,,,,,3.0,1147.0,,,,,,,,,,,,,,,,,,,,\n409,SALib,SALib/SALib,,probabilistics,https://github.com/SALib/SALib,https://github.com/SALib/SALib,MIT,2013-05-30 13:38:10.000000,2021-07-08 15:16:07.000000,2021-07-08 15:16:07.000000,155,38.0,203.0,482.0,965.0,\"Sensitivity Analysis Library in Python (Numpy). Contains Sobol, Morris, Fractional Factorial and FAST methods.\",30.0,24,True,2021-07-01 12:39:24.000000,1.4.0.2,34.0,salib,conda-forge/salib,,,,44.0,,https://pypi.org/project/salib,2021-07-01 12:45:18.000000,44.0,39174.0,40352.0,https://anaconda.org/conda-forge/salib,2020-10-24 17:04:41.614000,65997.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n410,TensorFlow I/O,tensorflow/io,,tensorflow-utils,https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05.000000,2021-06-30 20:31:57.000000,2021-06-30 15:58:17.000000,169,141.0,295.0,470.0,1464.0,\"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.\",73.0,24,True,2021-06-25 13:22:04.000000,0.19.0,24.0,tensorflow-io,,,,['tensorflow'],0.0,,https://pypi.org/project/tensorflow-io,2021-06-25 13:19:18.000000,0.0,307987.0,307987.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n411,findspark,minrk/findspark,,others,https://github.com/minrk/findspark,https://github.com/minrk/findspark,BSD-3-Clause,2015-06-12 21:34:06.000000,2021-06-14 06:11:28.000000,2021-06-14 06:10:09.000000,68,11.0,9.0,407.0,,Find pyspark to make it importable.,14.0,24,True,2020-06-08 09:32:23.000000,1.4.2,12.0,findspark,conda-forge/findspark,,,['spark'],2014.0,1812.0,https://pypi.org/project/findspark,2020-06-08 09:32:23.000000,202.0,1419935.0,1429081.0,https://anaconda.org/conda-forge/findspark,2018-07-06 12:57:33.438000,557921.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n412,sklearn-crfsuite,TeamHG-Memex/sklearn-crfsuite,,sklearn-utils,https://github.com/TeamHG-Memex/sklearn-crfsuite,https://github.com/TeamHG-Memex/sklearn-crfsuite,MIT,2015-11-26 21:15:41.000000,2020-12-30 08:00:27.000000,2019-12-05 08:17:22.000000,155,33.0,22.0,371.0,46.0,scikit-learn inspired API for CRFsuite.,6.0,24,False,2017-06-22 18:49:27.000000,0.3.6,9.0,sklearn-crfsuite,,,,['sklearn'],3280.0,2884.0,https://pypi.org/project/sklearn-crfsuite,2017-06-22 18:49:27.000000,396.0,116792.0,116792.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n413,Cornac,PreferredAI/cornac,,recommender-systems,https://github.com/PreferredAI/cornac,https://github.com/PreferredAI/cornac,Apache-2.0,2018-07-17 06:31:35.000000,2021-07-08 14:51:12.000000,2021-07-08 14:51:12.000000,69,3.0,50.0,370.0,1190.0,A Comparative Framework for Multimodal Recommender Systems.,13.0,24,True,2021-03-30 03:20:12.000000,1.12.0,37.0,cornac,conda-forge/cornac,,,,50.0,48.0,https://pypi.org/project/cornac,2021-03-30 03:23:59.000000,2.0,3750.0,9749.0,https://anaconda.org/conda-forge/cornac,2021-03-30 16:45:43.648000,155980.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n414,metrics,PyTorchLightning/metrics,,distributed-ml,https://github.com/PyTorchLightning/metrics,https://github.com/PyTorchLightning/metrics,Apache-2.0,2020-12-22 20:02:42.000000,2021-07-08 13:49:34.000000,2021-07-07 17:51:30.000000,63,28.0,92.0,369.0,407.0,\"Machine learning metrics for distributed, scalable PyTorch applications.\",70.0,24,True,2021-07-05 16:02:55.000000,0.4.1,15.0,metrics,,,,['pytorch'],426.0,414.0,https://pypi.org/project/metrics,2018-04-28 10:58:56.000000,12.0,3014.0,3049.0,,,,,,,,3.0,141.0,,,,,,,,,,,,,,,,,,,,\n415,pyvips,libvips/pyvips,,image,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000000,2021-06-28 13:47:18.054000,2021-06-28 11:48:34.000000,29,80.0,149.0,335.0,397.0,python binding for libvips using cffi.,11.0,24,True,2021-06-28 10:56:34.000000,2.1.15,21.0,pyvips,conda-forge/pyvips,,,,225.0,203.0,https://pypi.org/project/pyvips,2021-06-28 10:56:34.000000,22.0,14740.0,15173.0,https://anaconda.org/conda-forge/pyvips,2021-06-28 13:47:18.054000,9959.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n416,datalad,datalad/datalad,,others,https://github.com/datalad/datalad,https://github.com/datalad/datalad,MIT,2013-11-01 19:40:08.000000,2021-07-08 13:25:49.000000,2021-07-01 05:43:04.000000,74,715.0,2373.0,252.0,14022.0,\"Keep code, data, containers under control with git and git-annex.\",38.0,24,False,2021-06-27 01:02:25.000000,0.14.6,70.0,datalad,conda-forge/datalad,,,,26.0,,https://pypi.org/project/datalad,2021-06-27 01:02:43.000000,26.0,3924.0,7424.0,https://anaconda.org/conda-forge/datalad,2021-06-22 10:20:02.742000,140030.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n417,Orion,Epistimio/orion,,hyperopt,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21.000000,2021-06-28 22:30:18.000000,2021-06-07 16:28:39.000000,41,45.0,119.0,191.0,2859.0,Asynchronous Distributed Hyperparameter Optimization.,23.0,24,False,2021-05-19 20:08:31.000000,0.1.15,16.0,orion,,,,,48.0,40.0,https://pypi.org/project/orion,2021-05-19 20:08:31.000000,8.0,1620.0,1620.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n418,dbnd,databand-ai/dbnd,,data-pipelines,https://github.com/databand-ai/dbnd,https://github.com/databand-ai/dbnd,Apache-2.0,2020-01-02 10:42:47.000000,2021-07-07 15:04:13.000000,2021-06-30 12:47:33.000000,14,6.0,2.0,190.0,2316.0,DBND is an agile pipeline framework that helps data engineering teams track and orchestrate their data processes.,38.0,24,False,2021-07-07 14:06:02.000000,0.44.0,171.0,dbnd,,,,,25.0,25.0,https://pypi.org/project/dbnd,2021-07-07 15:04:13.000000,0.0,79072.0,79072.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n419,cortex,cortexlabs/cortex,,model-serialisation,https://github.com/cortexlabs/cortex,https://github.com/cortexlabs/cortex,Apache-2.0,2019-01-24 04:43:14.000000,2021-07-08 15:08:43.000000,2021-07-07 23:42:29.000000,573,108.0,944.0,7554.0,2206.0,Cost-effective serverless computing.,21.0,23,True,2021-07-06 23:57:08.000000,0.38.0,57.0,cortex,,,,,0.0,,https://pypi.org/project/cortex,2021-07-06 23:53:37.000000,0.0,1695.0,1695.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n420,Apex,NVIDIA/apex,,gpu-utilities,https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000000,2021-07-07 06:18:51.000000,2021-06-15 05:04:31.000000,738,469.0,378.0,5494.0,845.0,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,82.0,23,True,,,1.0,,conda-forge/nvidia-apex,,,['pytorch'],610.0,610.0,,,,,2575.0,https://anaconda.org/conda-forge/nvidia-apex,2021-04-22 16:13:47.237000,54084.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n421,snownlp,isnowfy/snownlp,,chinese-nlp,https://github.com/isnowfy/snownlp,https://github.com/isnowfy/snownlp,MIT,2013-11-26 11:46:56.000000,2020-01-19 02:39:05.000000,2020-01-19 02:39:03.000000,1276,36.0,65.0,5470.0,57.0,Python library for processing Chinese text.,8.0,23,False,2015-09-27 16:35:23.000000,0.12.3,17.0,snownlp,,,,,707.0,631.0,https://pypi.org/project/snownlp,2015-09-27 16:35:23.000000,76.0,6194.0,6194.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n422,flashtext,vi3k6i5/flashtext,,nlp,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01.000000,2021-04-29 02:55:52.000000,2020-05-03 07:13:22.000000,556,54.0,49.0,4836.0,108.0,Extract Keywords from sentence or Replace keywords in sentences.,8.0,23,False,,,18.0,flashtext,,,,,532.0,500.0,https://pypi.org/project/flashtext,2018-02-16 05:24:17.000000,32.0,365645.0,365645.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n423,neon,NervanaSystems/neon,,ml-frameworks,https://github.com/NervanaSystems/neon,https://github.com/NervanaSystems/neon,Apache-2.0,2014-10-16 01:00:17.000000,2020-12-23 01:21:42.000000,2019-05-22 18:27:54.000000,848,87.0,306.0,3853.0,1118.0,Intel Nervana reference deep learning framework committed to best performance on all hardware.,109.0,23,False,2018-01-05 23:25:04.000000,2.6.0,32.0,nervananeon,,,,,47.0,46.0,https://pypi.org/project/nervananeon,2018-01-05 23:25:04.000000,1.0,153.0,157.0,,,,,,,,3.0,308.0,,,,,,,,,,,,,,,,,,,,\n424,DeepMatcher,anhaidgroup/deepmatcher,,nlp,https://github.com/anhaidgroup/deepmatcher,https://github.com/anhaidgroup/deepmatcher,BSD-3-Clause,2017-12-01 19:01:11.000000,2021-06-13 01:13:43.000000,2021-06-13 00:22:13.000000,1373,50.0,22.0,3676.0,176.0,Python package for performing Entity and Text Matching using Deep Learning.,7.0,23,True,2021-05-27 22:28:29.000000,0.1.2,13.0,deepmatcher,,,,,14.0,14.0,https://pypi.org/project/deepmatcher,2021-06-13 01:13:24.000000,,669.0,669.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n425,ArrayFire,arrayfire/arrayfire,,gpu-utilities,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000000,2021-07-07 04:42:13.000000,2021-07-06 06:57:05.000000,475,239.0,1243.0,3546.0,5739.0,ArrayFire: a general purpose GPU library.,82.0,23,True,2021-01-08 21:41:09.000000,3.8.0,30.0,arrayfire,,,,,8.0,,https://pypi.org/project/arrayfire,2021-03-05 17:36:30.000000,8.0,1315.0,1333.0,,,,,,,,2.0,1333.0,,,,,,,,,,,,,,,,,,,,\n426,MatchZoo,NTMC-Community/MatchZoo,,nlp,https://github.com/NTMC-Community/MatchZoo,https://github.com/NTMC-Community/MatchZoo,Apache-2.0,2017-06-08 08:55:22.000000,2021-06-03 02:58:49.000000,2021-06-02 17:38:16.000000,881,27.0,429.0,3458.0,1810.0,\"Facilitating the design, comparison and sharing of deep text matching models.\",36.0,23,True,2019-10-24 13:09:11.000000,2.2.0,5.0,matchzoo,,,,['tensorflow'],10.0,10.0,https://pypi.org/project/matchzoo,2019-10-24 13:09:11.000000,,228.0,228.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n427,segmentation_models,qubvel/segmentation_models,,image,https://github.com/qubvel/segmentation_models,https://github.com/qubvel/segmentation_models,MIT,2018-06-05 13:27:56.000000,2021-05-18 07:51:15.000000,2020-04-17 09:51:20.000000,782,184.0,250.0,3297.0,204.0,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,14.0,23,False,2020-01-10 11:36:02.000000,1.0.1,8.0,segmentation_models,,,,['tensorflow'],24.0,,https://pypi.org/project/segmentation_models,2020-01-10 11:36:02.000000,24.0,19300.0,19300.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n428,Chartify,spotify/chartify,,data-viz,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05.000000,2021-03-20 11:20:12.000000,2021-02-05 18:49:02.000000,259,40.0,30.0,2946.0,195.0,Python library that makes it easy for data scientists to create charts.,21.0,23,True,2020-11-02 22:14:08.000000,3.0.3,16.0,chartify,conda-forge/chartify,,,,60.0,55.0,https://pypi.org/project/chartify,2020-11-02 22:14:08.000000,5.0,1640.0,2094.0,https://anaconda.org/conda-forge/chartify,2020-11-07 19:52:50.628000,14533.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n429,Image Super-Resolution,idealo/image-super-resolution,,image,https://github.com/idealo/image-super-resolution,https://github.com/idealo/image-super-resolution,Apache-2.0,2018-11-26 13:41:13.000000,2021-06-02 09:48:09.000000,2021-06-02 09:45:13.000000,538,73.0,105.0,2891.0,150.0,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,10.0,23,True,2020-01-08 15:37:35.000000,2.2.0,11.0,ISR,,idealo/image-super-resolution-gpu,,['tensorflow'],66.0,58.0,https://pypi.org/project/ISR,2020-01-08 15:37:35.000000,8.0,4865.0,4869.0,,,,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,,153.0,3.0,,,,,,,,,,,,,,,,,,,,,\n430,ART,Trusted-AI/adversarial-robustness-toolbox,,adversarial,https://github.com/Trusted-AI/adversarial-robustness-toolbox,https://github.com/Trusted-AI/adversarial-robustness-toolbox,MIT,2018-03-15 14:40:43.000000,2021-07-07 11:22:41.000000,2021-07-07 10:51:09.000000,650,68.0,478.0,2347.0,,\"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..\",77.0,23,True,2021-06-15 22:01:59.000000,1.7.0,32.0,adversarial-robustness-toolbox,,,,,137.0,137.0,https://pypi.org/project/adversarial-robustness-toolbox,2021-06-15 20:32:09.000000,0.0,6047.0,6047.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n431,analytics-zoo,intel-analytics/analytics-zoo,,distributed-ml,https://github.com/intel-analytics/analytics-zoo,https://github.com/intel-analytics/analytics-zoo,Apache-2.0,2017-05-05 02:27:30.000000,2021-07-08 10:34:08.000000,2021-07-08 06:40:55.000000,675,527.0,713.0,2337.0,3108.0,\"Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray.\",102.0,23,True,2021-05-25 05:58:11.000000,0.10.0,85.0,analytics-zoo,,,,['spark'],2.0,2.0,https://pypi.org/project/analytics-zoo,2021-07-04 16:22:45.000000,,1551.0,1551.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n432,scikit-opt,guofei9987/scikit-opt,,sklearn-utils,https://github.com/guofei9987/scikit-opt,https://github.com/guofei9987/scikit-opt,MIT,2017-12-05 10:20:41.000000,2021-07-01 06:01:44.000000,2021-07-01 06:01:43.000000,549,21.0,88.0,2333.0,289.0,\"Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune..\",12.0,23,True,2021-06-28 12:45:52.000000,0.6.5,22.0,scikit-opt,,,,['sklearn'],38.0,35.0,https://pypi.org/project/scikit-opt,2021-06-28 12:36:56.000000,3.0,1362.0,1362.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n433,Arctic,man-group/arctic,,data-containers,https://github.com/man-group/arctic,https://github.com/man-group/arctic,LGPL-2.1,2015-05-29 13:37:30.000000,2021-07-05 07:23:38.000000,2021-04-16 01:50:53.000000,462,86.0,438.0,2327.0,1077.0,Arctic is a high performance datastore for numeric data.,71.0,23,True,2020-12-01 23:17:26.000000,1.79.4,83.0,arctic,conda-forge/arctic,,,,166.0,124.0,https://pypi.org/project/arctic,2020-12-01 23:16:12.000000,42.0,3841.0,4389.0,https://anaconda.org/conda-forge/arctic,2019-12-16 08:57:24.231000,14240.0,,,,,3.0,139.0,,,,,,,,,,,,,,,,,,,,\n434,PandasGUI,adamerose/pandasgui,,data-viz,https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT,2019-06-12 02:19:42.000000,2021-06-27 08:43:49.000000,2021-06-27 08:38:07.000000,131,22.0,101.0,2277.0,403.0,A GUI for Pandas DataFrames.,8.0,23,True,2021-06-26 20:39:27.000000,0.2.12,42.0,pandasgui,,,,['pandas'],84.0,82.0,https://pypi.org/project/pandasgui,2021-06-26 20:39:27.000000,2.0,6491.0,6491.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n435,Enigma Catalyst,enigmampc/catalyst,,financial-data,https://github.com/enigmampc/catalyst,https://github.com/enigmampc/catalyst,Apache-2.0,2017-06-13 22:31:34.000000,2021-01-05 19:10:30.000000,2020-12-28 10:58:58.000000,633,135.0,356.0,2239.0,6362.0,An Algorithmic Trading Library for Crypto-Assets in Python.,145.0,23,True,2018-11-11 16:46:28.000000,0.5.21,52.0,enigma-catalyst,,,,,25.0,23.0,https://pypi.org/project/enigma-catalyst,2018-11-11 16:46:28.000000,2.0,2427.0,2427.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n436,TF Ranking,tensorflow/ranking,,recommender-systems,https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57.000000,2021-07-01 11:47:03.000000,2021-05-24 23:21:34.000000,385,29.0,217.0,2176.0,392.0,Learning to Rank in TensorFlow.,20.0,23,True,2021-05-25 17:36:24.000000,0.4.0,16.0,tensorflow_ranking,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow_ranking,2021-05-25 15:34:56.000000,2.0,95076.0,95076.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n437,knockknock,huggingface/knockknock,,ml-experiments,https://github.com/huggingface/knockknock,https://github.com/huggingface/knockknock,MIT,2019-03-20 13:08:55.000000,2021-07-01 07:54:07.000000,2020-03-16 04:26:47.000000,171,13.0,21.0,2168.0,75.0,Knock Knock: Get notified when your training ends with only two additional lines of code.,18.0,23,False,2020-03-04 04:15:47.000000,0.1.8,10.0,knockknock,conda-forge/knockknock,,,,194.0,191.0,https://pypi.org/project/knockknock,2020-03-16 14:30:23.000000,3.0,2144.0,2474.0,https://anaconda.org/conda-forge/knockknock,2020-03-17 01:52:16.317000,6942.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n438,GluonTS,awslabs/gluon-ts,,time-series-data,https://github.com/awslabs/gluon-ts,https://github.com/awslabs/gluon-ts,Apache-2.0,2019-05-15 17:17:29.000000,2021-07-06 11:08:11.000000,2021-07-06 11:08:11.000000,420,222.0,404.0,1996.0,758.0,Probabilistic time series modeling in Python.,74.0,23,True,2021-07-05 09:20:06.000000,0.8.0,40.0,gluonts,,,,['mxnet'],0.0,,https://pypi.org/project/gluonts,2021-07-05 09:20:06.000000,0.0,55111.0,55111.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n439,polars,pola-rs/polars,,data-containers,https://github.com/pola-rs/polars,https://github.com/pola-rs/polars,MIT,2020-05-13 19:45:33.000000,2021-07-08 14:11:53.000000,2021-07-08 14:07:09.000000,109,45.0,346.0,1977.0,1834.0,Fast multi-threaded DataFrame library in Rust and Python.,33.0,23,True,2021-07-02 13:12:35.000000,0.8.9,40.0,polars,,,,,3.0,3.0,https://pypi.org/project/polars,2021-07-02 13:12:35.000000,0.0,5130.0,5130.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n440,pytorch-nlp,PetrochukM/PyTorch-NLP,,nlp,https://github.com/PetrochukM/PyTorch-NLP,https://github.com/PetrochukM/PyTorch-NLP,BSD-3-Clause,2018-02-25 05:00:36.000000,2021-04-08 15:39:47.000000,2021-01-26 22:23:57.000000,230,14.0,49.0,1929.0,445.0,Basic Utilities for PyTorch Natural Language Processing (NLP).,17.0,23,True,2019-11-04 05:16:00.000000,0.5.0,19.0,pytorch-nlp,,,,['pytorch'],262.0,244.0,https://pypi.org/project/pytorch-nlp,2019-11-04 04:35:18.000000,18.0,5460.0,5460.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n441,PyFlux,RJT1990/pyflux,,time-series-data,https://github.com/RJT1990/pyflux,https://github.com/RJT1990/pyflux,BSD-3-Clause,2016-02-16 20:12:02.000000,2019-03-19 10:45:02.000000,2018-12-16 15:30:13.000000,213,79.0,65.0,1883.0,118.0,Open source time series library for Python.,6.0,23,False,2017-11-21 16:27:06.000000,0.4.16,35.0,pyflux,,,,,221.0,191.0,https://pypi.org/project/pyflux,2017-11-21 16:27:06.000000,30.0,59597.0,59597.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n442,Multicore-TSNE,DmitryUlyanov/Multicore-TSNE,,data-viz,https://github.com/DmitryUlyanov/Multicore-TSNE,https://github.com/DmitryUlyanov/Multicore-TSNE,BSD-3-Clause,2016-10-19 05:46:52.000000,2021-06-03 12:17:47.000000,2020-08-19 14:58:00.000000,200,37.0,20.0,1589.0,113.0,Parallel t-SNE implementation with Python and Torch wrappers.,15.0,23,True,2017-11-08 13:32:20.000000,0.0.1,3.0,MulticoreTSNE,conda-forge/multicore-tsne,,,['pytorch'],264.0,236.0,https://pypi.org/project/MulticoreTSNE,2019-01-09 07:23:04.000000,28.0,4968.0,5237.0,https://anaconda.org/conda-forge/multicore-tsne,2021-04-23 10:26:30.160000,8625.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n443,PyTextRank,DerwenAI/pytextrank,,nlp,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000000,2021-06-30 14:47:29.000000,2021-06-30 14:47:29.000000,300,18.0,53.0,1565.0,,Python implementation of TextRank for phrase extraction and summarization of text documents.,14.0,23,True,2021-03-25 19:46:28.000000,3.1.1,15.0,pytextrank,,,,,185.0,173.0,https://pypi.org/project/pytextrank,2021-03-25 19:46:28.000000,12.0,13775.0,13775.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n444,AmpliGraph,Accenture/AmpliGraph,,graph,https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05.000000,2021-05-25 16:56:00.000000,2021-05-25 16:49:48.000000,169,24.0,180.0,1541.0,947.0,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,19.0,23,True,2021-05-25 16:57:42.000000,1.4.0,12.0,ampligraph,,,,['tensorflow'],14.0,14.0,https://pypi.org/project/ampligraph,2021-05-25 16:47:29.000000,,1597.0,1597.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n445,PaddleSeg,PaddlePaddle/PaddleSeg,,image,https://github.com/PaddlePaddle/PaddleSeg,https://github.com/PaddlePaddle/PaddleSeg,Apache-2.0,2019-08-26 02:32:22.000000,2021-07-08 09:45:42.000000,2021-07-01 12:11:31.000000,376,290.0,260.0,1504.0,,End-to-end image segmentation kit based on PaddlePaddle.,49.0,23,True,2021-05-19 15:22:18.000000,2.1.0,11.0,paddleseg,,,,['paddle'],198.0,198.0,https://pypi.org/project/paddleseg,2021-05-19 15:22:18.000000,0.0,277.0,277.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n446,TensorFlow Privacy,tensorflow/privacy,,privacy-ml,https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000000,2021-07-07 22:55:25.000000,2021-07-07 22:55:22.000000,310,59.0,80.0,1438.0,489.0,Library for training machine learning models with privacy for training data.,40.0,23,True,2021-06-30 00:31:06.000000,0.6.1,12.0,tensorflow-privacy,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow-privacy,2021-06-30 00:31:06.000000,2.0,17817.0,17818.0,,,,,,,,2.0,43.0,,,,,,,,,,,,,,,,,,,,\n447,checklist,marcotcr/checklist,,interpretability,https://github.com/marcotcr/checklist,https://github.com/marcotcr/checklist,MIT,2020-03-09 17:18:49.000000,2021-07-07 17:20:39.000000,2021-07-07 17:20:31.000000,129,8.0,70.0,1411.0,229.0,Beyond Accuracy: Behavioral Testing of NLP models with CheckList.,10.0,23,True,2021-05-24 16:45:59.000000,0.0.11,10.0,checklist,,,,['jupyter'],15.0,13.0,https://pypi.org/project/checklist,2021-05-24 16:45:59.000000,2.0,14948.0,14948.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n448,pygraphistry,graphistry/pygraphistry,,graph,https://github.com/graphistry/pygraphistry,https://github.com/graphistry/pygraphistry,BSD-3-Clause,2015-06-02 20:28:42.000000,2021-07-05 08:48:52.000000,2021-04-30 01:50:29.000000,126,47.0,98.0,1403.0,730.0,\"PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated..\",15.0,23,True,2021-03-27 00:02:04.000000,0.18.1,113.0,graphistry,,,,['jupyter'],50.0,46.0,https://pypi.org/project/graphistry,2021-04-30 01:52:32.000000,4.0,1117.0,1117.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n449,mljar-supervised,mljar/mljar-supervised,,hyperopt,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000000,2021-06-23 18:01:36.000000,2021-06-23 18:01:36.000000,181,50.0,341.0,1380.0,928.0,Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning.,9.0,23,True,2021-06-08 20:39:40.000000,0.10.6,73.0,mljar-supervised,,,,,14.0,14.0,https://pypi.org/project/mljar-supervised,2021-06-08 20:39:40.000000,,7103.0,7103.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n450,pandas-ta,twopirllc/pandas-ta,,probabilistics,https://github.com/twopirllc/pandas-ta,https://github.com/twopirllc/pandas-ta,MIT,2019-02-19 16:41:09.000000,2021-07-06 23:54:52.000000,2021-07-02 16:58:50.000000,336,27.0,198.0,1379.0,,Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators.,39.0,23,True,2021-07-02 16:47:05.000000,0.3.02,18.0,pandas-ta,,,,['pandas'],166.0,166.0,https://pypi.org/project/pandas-ta,2021-07-02 16:54:49.000000,0.0,19117.0,19117.0,,,,,,,,3.0,,,-1.0,,,,,,,,,,,,,,,,,,\n451,Torchmeta,tristandeleu/pytorch-meta,,pytorch-utils,https://github.com/tristandeleu/pytorch-meta,https://github.com/tristandeleu/pytorch-meta,MIT,2018-12-04 23:36:45.000000,2021-04-13 10:29:29.000000,2021-03-19 14:47:19.000000,160,34.0,77.0,1377.0,342.0,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.,10.0,23,True,2021-03-19 14:49:53.000000,1.7.0,27.0,torchmeta,,,,['pytorch'],50.0,50.0,https://pypi.org/project/torchmeta,2021-03-19 14:49:53.000000,,1170.0,1170.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n452,Torch Points 3D,nicolas-chaulet/torch-points3d,,image,https://github.com/nicolas-chaulet/torch-points3d,https://github.com/nicolas-chaulet/torch-points3d,BSD-3-Clause,2019-12-06 11:33:34.000000,2021-07-07 14:48:02.000000,2021-06-23 10:02:16.000000,214,71.0,189.0,1346.0,1703.0,Pytorch framework for doing deep learning on point clouds.,26.0,23,True,2021-04-30 09:00:22.000000,1.3.0,14.0,torch-points3d,,,,['pytorch'],3.0,3.0,https://pypi.org/project/torch-points3d,2021-04-30 09:00:22.000000,,651.0,651.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n453,Karate Club,benedekrozemberczki/karateclub,,graph,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56.000000,2021-07-02 21:39:21.000000,2021-07-02 21:39:17.000000,153,,57.0,1317.0,2145.0,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,12.0,23,False,2021-07-02 18:00:48.000000,_10200,99.0,karateclub,,,,,47.0,47.0,https://pypi.org/project/karateclub,2021-07-02 17:59:56.000000,0.0,7012.0,7012.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n454,modAL,modAL-python/modAL,,others,https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000000,2021-07-08 08:41:29.000000,2021-01-07 09:40:40.000000,202,56.0,51.0,1306.0,648.0,A modular active learning framework for Python.,14.0,23,True,2021-01-07 09:47:49.000000,0.4.1,12.0,modAL,,,,['sklearn'],95.0,87.0,https://pypi.org/project/modAL,2021-01-07 09:47:49.000000,8.0,3360.0,3360.0,,,,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,,,\n455,FARM,deepset-ai/FARM,,nlp,https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12.000000,2021-07-08 09:11:10.000000,2021-07-08 09:11:10.000000,186,38.0,359.0,1260.0,583.0,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,35.0,23,True,2021-06-10 09:45:12.000000,0.8.0,24.0,farm,,,,['pytorch'],2.0,,https://pypi.org/project/farm,2021-06-10 09:41:53.000000,2.0,8406.0,8406.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n456,FinTA,peerchemist/finta,,financial-data,https://github.com/peerchemist/finta,https://github.com/peerchemist/finta,LGPL-3.0,2016-09-01 21:02:46.000000,2021-07-03 10:36:29.000000,2021-07-03 10:36:29.000000,388,13.0,63.0,1149.0,386.0,Common financial technical indicators implemented in Pandas.,25.0,23,False,2021-04-03 08:51:49.000000,1.3,19.0,finta,,,,,88.0,84.0,https://pypi.org/project/finta,2020-10-21 11:39:44.000000,4.0,6533.0,6533.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n457,metric-learn,scikit-learn-contrib/metric-learn,,others,https://github.com/scikit-learn-contrib/metric-learn,https://github.com/scikit-learn-contrib/metric-learn,MIT,2013-11-02 08:29:47.000000,2021-05-23 21:08:50.000000,2021-04-26 08:27:27.000000,216,52.0,110.0,1146.0,266.0,Metric learning algorithms in Python.,19.0,23,True,2020-07-02 12:59:23.000000,0.6.2,10.0,metric-learn,,,,['sklearn'],173.0,155.0,https://pypi.org/project/metric-learn,2020-07-02 12:59:23.000000,18.0,6260.0,6260.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n458,tensorly,tensorly/tensorly,,others,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52.000000,2021-07-07 14:39:44.000000,2021-07-01 19:59:59.000000,207,34.0,114.0,1055.0,,TensorLy: Tensor Learning in Python.,46.0,23,True,2021-04-15 15:01:47.000000,0.5.1,17.0,tensorly,conda-forge/tensorly,,,,177.0,157.0,https://pypi.org/project/tensorly,2021-04-14 11:18:01.000000,20.0,5290.0,9215.0,https://anaconda.org/conda-forge/tensorly,2020-12-07 22:44:30.386000,149158.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n459,Alibi,SeldonIO/alibi,,interpretability,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Apache-2.0,2019-02-26 10:10:56.000000,2021-07-08 14:27:37.000000,2021-07-08 14:29:46.000000,138,102.0,98.0,1046.0,281.0,Algorithms for explaining machine learning models.,14.0,23,True,2021-07-08 14:26:57.000000,0.6.0,19.0,alibi,,,,,112.0,94.0,https://pypi.org/project/alibi,2021-07-08 14:25:46.000000,18.0,13969.0,13969.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n460,ogb,snap-stanford/ogb,,graph,https://github.com/snap-stanford/ogb,https://github.com/snap-stanford/ogb,MIT,2019-11-22 22:13:57.000000,2021-06-28 09:35:04.000000,2021-06-22 03:31:02.000000,197,1.0,150.0,993.0,532.0,\"Benchmark datasets, data loaders, and evaluators for graph machine learning.\",15.0,23,True,2021-04-07 08:44:37.000000,1.3.1,14.0,ogb,,,,,130.0,130.0,https://pypi.org/project/ogb,2021-04-07 08:44:37.000000,0.0,6237.0,6237.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n461,SciSpacy,allenai/scispacy,,nlp,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52.000000,2021-06-23 16:48:14.000000,2021-06-22 20:02:00.000000,133,28.0,171.0,953.0,,A full spaCy pipeline and models for scientific/biomedical documents.,21.0,23,True,2021-02-12 22:56:06.000000,0.4.0,10.0,scispacy,,,,,304.0,292.0,https://pypi.org/project/scispacy,2021-02-12 22:56:06.000000,12.0,24960.0,24960.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n462,keract,philipperemy/keract,,interpretability,https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57.000000,2021-06-21 18:32:46.000000,2021-06-21 10:36:02.000000,180,2.0,80.0,894.0,375.0,Layers Outputs and Gradients in Keras. Made easy.,16.0,23,True,2021-06-19 16:14:57.000000,4.5.0,38.0,keract,,,,['tensorflow'],95.0,90.0,https://pypi.org/project/keract,2021-06-19 16:14:15.000000,5.0,1416.0,1416.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n463,minisom,JustGlowing/minisom,,others,https://github.com/JustGlowing/minisom,https://github.com/JustGlowing/minisom,CC-BY-3.0,2013-07-03 10:10:06.000000,2021-07-07 09:10:42.000000,2021-07-07 09:10:31.000000,280,6.0,72.0,871.0,458.0,MiniSom is a minimalistic implementation of the Self Organizing Maps.,23.0,23,False,2021-04-24 17:22:39.000000,2.2.9,1.0,minisom,,,,,184.0,176.0,https://pypi.org/project/minisom,2021-04-24 17:21:29.000000,8.0,9207.0,9207.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n464,arq,samuelcolvin/arq,,data-pipelines,https://github.com/samuelcolvin/arq,https://github.com/samuelcolvin/arq,MIT,2016-07-21 18:24:42.000000,2021-07-06 11:24:00.000000,2021-07-06 11:20:03.000000,71,25.0,83.0,850.0,309.0,Fast job queuing and RPC in python with asyncio and redis.,28.0,23,True,2021-07-06 11:22:17.000000,0.21,53.0,arq,,,,,72.0,64.0,https://pypi.org/project/arq,2021-07-06 11:24:00.000000,8.0,15215.0,15215.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n465,Opacus,pytorch/opacus,,privacy-ml,https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000000,2021-07-06 14:49:20.000000,2021-06-28 15:01:41.000000,127,14.0,71.0,842.0,263.0,Training PyTorch models with differential privacy.,30.0,23,True,2021-06-23 16:51:56.000000,0.14.0,9.0,opacus,,,,['pytorch'],42.0,42.0,https://pypi.org/project/opacus,2021-06-23 16:51:56.000000,0.0,11100.0,11102.0,,,,,,,,2.0,36.0,,,,,,,,,,,,,,,,,,,,\n466,Neural Structured Learning,tensorflow/neural-structured-learning,,tensorflow-utils,https://github.com/tensorflow/neural-structured-learning,https://github.com/tensorflow/neural-structured-learning,Apache-2.0,2019-08-27 21:48:16.000000,2021-06-22 04:14:23.000000,2021-06-22 04:14:19.000000,147,4.0,47.0,833.0,446.0,Training neural models with structured signals.,27.0,23,True,2020-08-18 00:35:35.000000,1.3.1,7.0,neural-structured-learning,,,,['tensorflow'],88.0,88.0,https://pypi.org/project/neural-structured-learning,2020-08-18 00:35:35.000000,0.0,8583.0,8583.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n467,stockstats,jealous/stockstats,,financial-data,https://github.com/jealous/stockstats,https://github.com/jealous/stockstats,BSD-3-Clause,2016-06-05 15:21:22.000000,2021-06-08 19:58:40.000000,2020-10-17 10:59:35.000000,222,33.0,32.0,813.0,23.0,Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.,7.0,23,True,2020-10-17 11:10:43.000000,0.3.2,14.0,stockstats,,,,,331.0,283.0,https://pypi.org/project/stockstats,2020-10-17 11:10:43.000000,48.0,34639.0,34639.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n468,arch,bashtage/arch,,financial-data,https://github.com/bashtage/arch,https://github.com/bashtage/arch,NCSA,2014-08-29 15:41:28.000000,2021-06-10 16:16:55.000000,2021-06-10 16:12:15.000000,167,13.0,139.0,750.0,,ARCH models in Python.,26.0,23,False,2021-03-16 08:28:41.000000,4.19,32.0,arch,,,,,379.0,337.0,https://pypi.org/project/arch,2021-03-16 08:30:20.000000,42.0,83509.0,83509.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n469,GPUtil,anderskm/gputil,,gpu-utilities,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43.000000,2020-10-01 05:42:49.000000,2019-08-16 09:00:15.000000,84,11.0,14.0,743.0,140.0,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,13.0,23,False,2018-12-18 09:12:13.000000,1.4.0,8.0,gputil,,,,,1386.0,1284.0,https://pypi.org/project/gputil,2018-12-18 09:12:13.000000,102.0,121196.0,121196.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n470,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,,data-viz,https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14.000000,2021-05-10 08:15:20.000000,2021-05-10 08:14:09.000000,84,22.0,62.0,700.0,289.0,Bokeh Plotting Backend for Pandas and GeoPandas.,12.0,23,True,2021-04-11 17:43:13.000000,0.5.5,16.0,pandas-bokeh,,,,['pandas'],205.0,195.0,https://pypi.org/project/pandas-bokeh,2021-04-11 17:43:13.000000,10.0,6884.0,6884.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n471,NeuPy,itdxer/neupy,,ml-frameworks,https://github.com/itdxer/neupy,https://github.com/itdxer/neupy,MIT,2015-08-24 19:45:11.000000,2021-06-08 20:04:22.000000,2019-09-02 19:02:38.000000,149,27.0,233.0,688.0,1145.0,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,6.0,23,False,2019-04-04 19:44:59.000000,0.8.2,34.0,neupy,,,,,124.0,113.0,https://pypi.org/project/neupy,2019-04-04 19:43:06.000000,11.0,2193.0,2193.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n472,scikit-multilearn,scikit-multilearn/scikit-multilearn,,sklearn-utils,https://github.com/scikit-multilearn/scikit-multilearn,https://github.com/scikit-multilearn/scikit-multilearn,BSD-2-Clause,2014-04-30 13:05:44.000000,2020-06-30 10:19:46.000000,2019-05-21 11:29:06.000000,122,66.0,92.0,664.0,487.0,A scikit-learn based module for multi-label et. al. classification.,15.0,23,False,2018-12-10 16:24:47.000000,0.2.0,6.0,scikit-multilearn,,,,['sklearn'],507.0,485.0,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47.000000,22.0,102971.0,102971.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n473,Sentinelsat,sentinelsat/sentinelsat,,geospatial-data,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26.000000,2021-07-05 08:10:48.000000,2021-07-05 08:10:48.000000,183,12.0,275.0,634.0,,Search and download Copernicus Sentinel satellite images.,41.0,23,False,2021-05-25 11:28:50.000000,1.0.1,38.0,sentinelsat,,,,,248.0,204.0,https://pypi.org/project/sentinelsat,2021-05-25 11:28:50.000000,44.0,16043.0,16046.0,,,,,,,,3.0,208.0,,,,,,,,,,,,,,,,,,,,\n474,python-ternary,marcharper/python-ternary,,data-viz,https://github.com/marcharper/python-ternary,https://github.com/marcharper/python-ternary,MIT,2012-08-07 23:48:55.000000,2021-06-13 17:23:28.000000,2021-06-13 17:23:27.000000,112,24.0,86.0,435.0,388.0,Ternary plotting library for python with matplotlib.,26.0,23,True,2021-02-17 18:38:15.000000,1.0.8,11.0,python-ternary,conda-forge/python-ternary,,,,86.0,66.0,https://pypi.org/project/python-ternary,2021-02-17 18:38:15.000000,20.0,6570.0,7455.0,https://anaconda.org/conda-forge/python-ternary,2021-02-17 22:38:55.625000,55816.0,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,,,\n475,vega,vega/ipyvega,,data-viz,https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000000,2021-07-02 11:15:21.000000,2021-07-02 11:08:37.000000,45,10.0,80.0,309.0,518.0,IPython/Jupyter notebook module for Vega and Vega-Lite.,10.0,23,True,2021-06-03 20:52:09.000000,3.5.0,38.0,vega,conda-forge/vega,,,['jupyter'],148.0,,https://pypi.org/project/vega,2021-06-03 20:52:09.000000,148.0,27215.0,34413.0,https://anaconda.org/conda-forge/vega,2021-06-03 23:34:43.187000,439092.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n476,NIPY,nipy/nipy,,medical-data,https://github.com/nipy/nipy,https://github.com/nipy/nipy,BSD-3-Clause,2010-05-02 10:00:33.000000,2021-06-20 21:19:21.000000,2021-03-29 16:56:48.000000,123,43.0,110.0,301.0,6427.0,Neuroimaging in Python FMRI analysis package.,63.0,23,True,2018-02-19 14:14:08.000000,0.4.2,6.0,nipy,conda-forge/nipy,,,,82.0,,https://pypi.org/project/nipy,2018-02-19 14:14:08.000000,82.0,1729.0,3465.0,https://anaconda.org/conda-forge/nipy,2020-05-04 19:38:04.112000,83368.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n477,py3nvml,fbcotter/py3nvml,,gpu-utilities,https://github.com/fbcotter/py3nvml,https://github.com/fbcotter/py3nvml,BSD-3-Clause,2016-11-21 01:07:37.000000,2021-07-07 09:10:57.000000,2021-07-07 09:10:57.000000,24,1.0,10.0,181.0,81.0,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,7.0,23,False,2020-04-06 16:02:10.000000,0.2.6,13.0,py3nvml,conda-forge/py3nvml,,,,315.0,295.0,https://pypi.org/project/py3nvml,2020-04-06 16:02:10.000000,20.0,122114.0,123187.0,https://anaconda.org/conda-forge/py3nvml,2020-10-10 10:41:08.987000,19324.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n478,PyStan,stan-dev/pystan,,probabilistics,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,ISC,2017-03-06 19:56:42.094000,2021-07-07 23:18:10.000000,2021-06-03 10:18:34.000000,21,13.0,131.0,99.0,,\"PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io.\",8.0,23,False,2021-06-03 10:17:59.000000,3.2.0,64.0,pystan,conda-forge/pystan,,,,342.0,,https://pypi.org/project/pystan,2021-06-03 10:17:59.000000,342.0,1380907.0,1401990.0,https://anaconda.org/conda-forge/pystan,2021-05-12 13:39:30.313000,1096360.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n479,mmdnn,Microsoft/MMdnn,,model-serialisation,https://github.com/microsoft/MMdnn,https://github.com/microsoft/MMdnn,MIT,2017-08-16 08:03:52.000000,2021-03-01 14:17:24.000000,2020-08-14 02:32:30.000000,945,315.0,287.0,5377.0,1083.0,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,85.0,22,True,2020-07-24 06:34:39.000000,0.3.1,12.0,mmdnn,,,,,64.0,61.0,https://pypi.org/project/mmdnn,2020-07-24 06:34:39.000000,3.0,830.0,907.0,,,,,,,,2.0,3405.0,,,,,,,,,,,,,,,,,,,,\n480,english-words,dwyl/english-words,,nlp,https://github.com/dwyl/english-words,https://github.com/dwyl/english-words,Unlicense,2014-07-13 22:20:45.000000,2021-07-03 12:27:25.000000,2020-10-15 08:03:00.000000,1141,43.0,26.0,5328.0,83.0,A text file containing 479k English words for all your dictionary/word-based projects e.g: auto-completion /..,25.0,22,True,2018-08-21 00:29:28.000000,1.0.3,4.0,english-words,,,,,2.0,,https://pypi.org/project/english-words,2018-08-21 00:29:28.000000,2.0,13952.0,13952.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n481,T5,google-research/text-to-text-transfer-transformer,,nlp,https://github.com/google-research/text-to-text-transfer-transformer,https://github.com/google-research/text-to-text-transfer-transformer,Apache-2.0,2019-10-17 21:45:14.000000,2021-06-30 17:32:10.000000,2021-06-30 17:32:07.000000,468,52.0,320.0,3478.0,,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,38.0,22,True,2021-03-03 15:19:14.000000,0.9.0,26.0,t5,,,,['tensorflow'],42.0,42.0,https://pypi.org/project/t5,2021-03-03 15:19:14.000000,0.0,7005.0,7005.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n482,PyAlgoTrade,gbeced/pyalgotrade,,financial-data,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54.000000,2021-04-19 00:39:07.000000,2018-08-21 02:42:52.000000,1216,45.0,82.0,3410.0,1156.0,Python Algorithmic Trading Library.,11.0,22,False,,,8.0,pyalgotrade,,,,,103.0,82.0,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25.000000,21.0,1060.0,1060.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n483,AdaNet,tensorflow/adanet,,hyperopt,https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24.000000,2020-07-09 21:03:28.000000,2020-07-09 20:51:04.000000,513,65.0,47.0,3289.0,439.0,Fast and flexible AutoML with learning guarantees.,26.0,22,True,2020-07-09 21:03:28.000000,0.9.0,13.0,adanet,,,,['tensorflow'],41.0,39.0,https://pypi.org/project/adanet,2020-07-09 21:03:28.000000,2.0,1195.0,1195.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n484,TensorWatch,microsoft/tensorwatch,,ml-experiments,https://github.com/microsoft/tensorwatch,https://github.com/microsoft/tensorwatch,MIT,2019-05-15 08:29:34.000000,2021-04-13 09:44:02.000000,2021-01-15 19:46:05.000000,331,50.0,15.0,3132.0,112.0,\"Debugging, monitoring and visualization for Python Machine Learning and Data Science.\",13.0,22,True,2020-03-04 07:26:22.000000,0.9.1,14.0,tensorwatch,,,,,57.0,51.0,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22.000000,6.0,10943.0,10943.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n485,SHOGUN,shogun-toolbox/shogun,,ml-frameworks,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32.000000,2021-03-05 12:19:13.000000,2020-12-08 16:56:38.000000,1049,462.0,1083.0,2830.0,16205.0,Unified and efficient Machine Learning.,248.0,22,True,2019-07-05 10:23:31.000000,shogun_6.1.4,10.0,,conda-forge/shogun,shogun/shogun,,,,,,,,,2156.0,https://anaconda.org/conda-forge/shogun,2018-06-25 20:49:17.070000,102998.0,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1461.0,3.0,,,,,,,,,,shogun,,,,,,,,,,,\n486,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,,graph,https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16.000000,2021-07-07 20:28:21.000000,2021-07-07 20:28:16.000000,376,41.0,114.0,2816.0,149.0,Generate embeddings from large-scale graph-structured data.,22.0,22,True,2019-10-14 16:45:11.000000,1.0.0,3.0,torchbiggraph,,,,['pytorch'],4.0,,https://pypi.org/project/torchbiggraph,2019-05-01 21:31:13.000000,4.0,1227.0,1231.0,,,,,,,,2.0,113.0,,,,,,,,,,,,,,,,,,,,\n487,gpt-2-simple,minimaxir/gpt-2-simple,,nlp,https://github.com/minimaxir/gpt-2-simple,https://github.com/minimaxir/gpt-2-simple,MIT,2019-04-13 20:00:52.000000,2021-06-17 00:27:42.000000,2021-02-14 19:39:38.000000,549,144.0,93.0,2712.0,133.0,Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts.,17.0,22,True,2021-02-14 21:13:20.000000,0.7.2,16.0,gpt-2-simple,,,,['tensorflow'],6.0,,https://pypi.org/project/gpt-2-simple,2021-02-14 20:20:24.000000,6.0,10502.0,10510.0,,,,,,,,3.0,229.0,,,,,,,,,,,,,,,,,,,,\n488,speechbrain,speechbrain/speechbrain,,audio,https://github.com/speechbrain/speechbrain,https://github.com/speechbrain/speechbrain,Apache-2.0,2020-04-28 17:48:45.000000,2021-07-08 04:41:40.000000,2021-07-07 14:07:56.000000,365,42.0,273.0,2558.0,,A PyTorch-based Speech Toolkit.,108.0,22,True,2021-06-17 01:25:19.000000,0.5.9,8.0,speechbrain,,,,['pytorch'],26.0,26.0,https://pypi.org/project/speechbrain,2021-06-17 01:26:07.000000,,2796.0,2796.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n489,Hummingbird,microsoft/hummingbird,,model-serialisation,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000000,2021-06-22 21:43:50.000000,2021-06-22 21:24:25.000000,187,48.0,166.0,2491.0,,Hummingbird compiles trained ML models into tensor computation for faster inference.,22.0,22,True,2021-06-22 21:28:04.000000,0.4.0,13.0,hummingbird-ml,,,,,18.0,18.0,https://pypi.org/project/hummingbird-ml,2021-06-22 21:26:04.000000,,3547.0,3555.0,,,,,,,,2.0,120.0,,,,,,,,,,,,,,,,,,,,\n490,Porcupine,Picovoice/Porcupine,,audio,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000000,2021-07-08 01:39:07.000000,2021-07-08 01:38:05.000000,364,10.0,312.0,2482.0,506.0,On-device wake word detection powered by deep learning.,27.0,22,True,2021-04-14 16:39:57.000000,1.9.5,19.0,pvporcupine,,,,,5.0,5.0,https://pypi.org/project/pvporcupine,2021-04-14 16:39:57.000000,0.0,751.0,751.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n491,tensorflow-graphics,tensorflow/graphics,,image,https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44.000000,2021-07-07 13:59:32.000000,2021-07-06 09:51:27.000000,298,129.0,85.0,2479.0,684.0,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,33.0,22,True,2020-05-20 19:56:41.000000,2020.5.20,21.0,tensorflow-graphics,,,,['tensorflow'],5.0,2.0,https://pypi.org/project/tensorflow-graphics,2020-05-20 19:56:41.000000,3.0,4288.0,4288.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n492,Luminoth,tryolabs/luminoth,,image,https://github.com/tryolabs/luminoth,https://github.com/tryolabs/luminoth,BSD-3-Clause,2017-02-16 15:07:46.000000,2021-05-21 16:21:18.000000,2020-01-07 20:53:25.000000,401,51.0,127.0,2378.0,838.0,Deep Learning toolkit for Computer Vision.,15.0,22,False,2018-11-09 21:35:17.000000,0.2.3,10.0,luminoth,,,,['tensorflow'],33.0,31.0,https://pypi.org/project/luminoth,2018-11-09 21:35:17.000000,2.0,1151.0,1406.0,,,,,,,,3.0,11515.0,,,,,,,,,,,,,,,,,,,,\n493,MMLSpark,Azure/mmlspark,,distributed-ml,https://github.com/Azure/mmlspark,https://github.com/Azure/mmlspark,MIT,2017-06-05 08:23:44.000000,2021-07-08 12:54:13.000000,2021-07-08 12:54:13.000000,536,215.0,241.0,2372.0,891.0,Microsoft Machine Learning for Apache Spark.,68.0,22,True,2020-10-02 19:36:01.000000,1.0.0-rc3,17.0,mmlspark,,,,['spark'],,,https://pypi.org/project/mmlspark,2020-03-18 01:27:31.000000,,27589.0,27589.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n494,FinRL,AI4Finance-LLC/FinRL,,reinforcement-learning,https://github.com/AI4Finance-LLC/FinRL,https://github.com/AI4Finance-LLC/FinRL,MIT,2020-07-26 13:18:16.000000,2021-07-08 15:02:06.000000,2021-07-06 18:19:04.000000,592,59.0,100.0,2261.0,719.0,A Deep Reinforcement Learning Library for Automated Trading in Quantitative Finance. NeurIPS 2020.,27.0,22,True,2021-02-28 17:05:19.000000,0.3.0,4.0,finrl,,,,,6.0,6.0,https://pypi.org/project/finrl,2021-02-28 17:05:19.000000,,261.0,261.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n495,layout-parser,Layout-Parser/layout-parser,,image,https://github.com/Layout-Parser/layout-parser,https://github.com/Layout-Parser/layout-parser,Apache-2.0,2020-06-10 20:22:54.000000,2021-06-16 06:05:10.000000,2021-04-26 03:50:16.000000,175,19.0,16.0,2241.0,142.0,A unified toolkit for Deep Learning Based Document Image Analysis.,4.0,22,True,2021-04-12 20:00:00.000000,0.2.0,6.0,layoutparser,,,,,10.0,10.0,https://pypi.org/project/layoutparser,2021-04-12 20:00:00.000000,,1961.0,1961.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n496,Texar,asyml/texar,,nlp,https://github.com/asyml/texar,https://github.com/asyml/texar,Apache-2.0,2017-07-22 19:02:05.000000,2020-09-17 07:03:55.000000,2020-07-29 00:38:30.000000,356,33.0,126.0,2177.0,1719.0,\"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the..\",41.0,22,True,2019-11-19 04:11:18.000000,0.2.4,6.0,texar,,,,['tensorflow'],17.0,15.0,https://pypi.org/project/texar,2019-11-19 04:11:18.000000,2.0,166.0,166.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n497,Mars,mars-project/mars,,others,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03.000000,2021-07-08 13:32:32.000000,2021-07-08 13:32:32.000000,259,122.0,706.0,2158.0,836.0,\"Mars is a tensor-based unified framework for large-scale data computation which scales Numpy, pandas, Scikit-learn and..\",21.0,22,True,2021-06-25 15:30:33.000000,0.6.10,85.0,pymars,,,,,0.0,,https://pypi.org/project/pymars,2021-06-26 09:09:50.000000,0.0,1957.0,1957.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n498,DDSP,magenta/ddsp,,audio,https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27.000000,2021-07-08 00:29:11.000000,2021-07-07 22:19:22.000000,193,18.0,97.0,1894.0,,DDSP: Differentiable Digital Signal Processing.,27.0,22,True,2021-06-03 20:56:31.000000,1.4.0,34.0,ddsp,,,,['tensorflow'],12.0,12.0,https://pypi.org/project/ddsp,2021-07-07 22:19:57.000000,,1514.0,1514.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n499,STUMPY,TDAmeritrade/stumpy,,time-series-data,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000000,2021-07-08 14:36:23.000000,2021-07-08 14:36:23.000000,176,27.0,220.0,1832.0,,\"STUMPY is a powerful and scalable Python library for computing a Matrix Profile, which can be used for a variety of..\",23.0,22,True,2021-02-04 19:05:43.000000,1.8.0,19.0,stumpy,conda-forge/stumpy,,,,0.0,,https://pypi.org/project/stumpy,2021-02-04 19:05:43.000000,0.0,60651.0,61581.0,https://anaconda.org/conda-forge/stumpy,2021-02-05 23:28:08.904000,24191.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n500,vidgear,abhiTronix/vidgear,,image,https://github.com/abhiTronix/vidgear,https://github.com/abhiTronix/vidgear,Apache-2.0,2019-03-17 02:42:42.000000,2021-07-06 04:12:54.000000,2021-04-25 17:12:04.000000,133,4.0,153.0,1827.0,649.0,High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features.,6.0,22,True,2021-04-25 18:49:14.000000,idgear-0.2.1,13.0,vidgear,,,,,116.0,114.0,https://pypi.org/project/vidgear,2021-01-01 07:57:09.000000,2.0,2336.0,2348.0,,,,,,,,3.0,359.0,,,,,,,,,,,,,,,,,,,,\n501,m2cgen,BayesWitnesses/m2cgen,,model-serialisation,https://github.com/BayesWitnesses/m2cgen,https://github.com/BayesWitnesses/m2cgen,MIT,2019-01-13 02:32:55.000000,2021-06-30 18:15:01.000000,2021-06-30 18:15:00.000000,153,36.0,45.0,1826.0,278.0,\"Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart,..\",12.0,22,True,2020-09-18 19:17:26.000000,0.9.0,12.0,m2cgen,,,,,6.0,6.0,https://pypi.org/project/m2cgen,2020-09-18 19:16:17.000000,,31711.0,31711.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n502,accelerate,huggingface/accelerate,,pytorch-utils,https://github.com/huggingface/accelerate,https://github.com/huggingface/accelerate,Apache-2.0,2020-10-30 13:27:12.000000,2021-07-08 11:21:26.000000,2021-07-08 11:21:25.000000,71,20.0,49.0,1572.0,,\"A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision.\",20.0,22,True,2021-04-29 15:45:04.000000,0.3.0,5.0,accelerate,,,,['pytorch'],79.0,79.0,https://pypi.org/project/accelerate,2021-04-29 15:44:34.000000,,12702.0,12702.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n503,Magnitude,plasticityai/magnitude,,nn-search,https://github.com/plasticityai/magnitude,https://github.com/plasticityai/magnitude,MIT,2018-02-24 07:28:16.000000,2021-02-23 18:10:43.000000,2020-07-17 20:19:46.000000,100,28.0,50.0,1456.0,350.0,\"A fast, efficient universal vector embedding utility package.\",4.0,22,True,2020-05-25 11:26:36.000000,0.1.143,128.0,pymagnitude,,,,,206.0,192.0,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36.000000,14.0,4663.0,4663.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n504,Talos,autonomio/talos,,hyperopt,https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41.000000,2021-05-27 09:49:51.000000,2021-05-27 09:49:50.000000,235,41.0,352.0,1418.0,559.0,\"Hyperparameter Optimization for TensorFlow, Keras and PyTorch.\",19.0,22,True,2020-11-09 16:48:30.000000,1.0,14.0,talos,,,,['tensorflow'],125.0,119.0,https://pypi.org/project/talos,2020-11-09 16:49:08.000000,6.0,2099.0,2099.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n505,anaGo,Hironsan/anago,,nlp,https://github.com/Hironsan/anago,https://github.com/Hironsan/anago,MIT,2017-06-26 21:28:36.000000,2021-06-01 21:53:57.000000,2021-04-01 12:34:50.000000,361,36.0,71.0,1414.0,298.0,\"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.\",11.0,22,True,2018-07-17 01:59:21.000000,1.0.8,14.0,anago,,,,['tensorflow'],31.0,26.0,https://pypi.org/project/anago,2018-07-17 01:59:21.000000,5.0,1475.0,1475.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n506,fklearn,nubank/fklearn,,ml-frameworks,https://github.com/nubank/fklearn,https://github.com/nubank/fklearn,Apache-2.0,2019-02-27 14:32:57.000000,2021-04-28 13:19:12.000000,2021-04-28 13:19:08.000000,149,19.0,20.0,1326.0,118.0,fklearn: Functional Machine Learning.,37.0,22,True,2021-02-09 17:12:04.000000,1.22.0,20.0,fklearn,,,,,10.0,10.0,https://pypi.org/project/fklearn,2021-02-09 17:12:04.000000,,7670.0,7670.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n507,NiftyNet,NifTK/NiftyNet,,medical-data,https://github.com/NifTK/NiftyNet,https://github.com/NifTK/NiftyNet,Apache-2.0,2017-08-30 07:55:43.000000,2020-04-21 19:54:52.000000,2020-04-21 19:54:51.000000,385,102.0,224.0,1286.0,2848.0,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,58.0,22,False,2019-10-10 10:59:33.000000,0.6.0,11.0,niftynet,,,,['tensorflow'],36.0,35.0,https://pypi.org/project/niftynet,2019-10-10 10:59:33.000000,1.0,240.0,240.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n508,jiant,nyu-mll/jiant,,nlp,https://github.com/nyu-mll/jiant,https://github.com/nyu-mll/jiant,MIT,2018-06-18 18:12:47.000000,2021-07-05 21:25:53.000000,2021-05-21 21:21:09.000000,244,56.0,480.0,1281.0,1918.0,jiant is an nlp toolkit.,55.0,22,True,2021-05-10 18:56:39.000000,2.2.0,19.0,jiant,,,,,2.0,2.0,https://pypi.org/project/jiant,2021-05-10 18:56:39.000000,,159.0,159.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n509,MLBox,AxeldeRomblay/MLBox,,hyperopt,https://github.com/AxeldeRomblay/MLBox,https://github.com/AxeldeRomblay/MLBox,BSD-1-Clause,2017-06-01 16:59:24.000000,2021-05-21 15:42:44.000000,2020-08-25 09:26:27.000000,253,15.0,74.0,1231.0,1121.0,MLBox is a powerful Automated Machine Learning python library.,9.0,22,False,2020-08-25 09:32:37.000000,0.8.5,21.0,mlbox,,,,,26.0,26.0,https://pypi.org/project/mlbox,2020-08-25 09:32:37.000000,,2774.0,2774.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n510,Pypeline,cgarciae/pypeln,,data-pipelines,https://github.com/cgarciae/pypeln,https://github.com/cgarciae/pypeln,MIT,2018-09-01 13:43:31.000000,2021-05-01 11:58:40.000000,2021-04-13 00:55:39.000000,72,14.0,37.0,1225.0,235.0,Concurrent data pipelines in Python .,10.0,22,True,2021-01-05 18:00:06.000000,0.4.7,34.0,pypeln,,,,,10.0,,https://pypi.org/project/pypeln,2021-01-05 18:00:06.000000,10.0,24937.0,24937.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n511,Darts,unit8co/darts,,time-series-data,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000000,2021-07-08 15:03:34.000000,2021-05-22 11:02:38.000000,130,22.0,76.0,1198.0,369.0,A python library for easy manipulation and forecasting of time series.,29.0,22,True,2021-05-22 11:18:25.000000,0.8.1,13.0,u8darts,,unit8/darts,,,6.0,6.0,https://pypi.org/project/u8darts,2021-05-22 11:18:25.000000,0.0,4963.0,4966.0,,,,https://hub.docker.com/r/unit8/darts,2021-05-22 11:13:37.525957,,129.0,2.0,,,,,,,,,,,,,,,,,,,,,\n512,Higher,facebookresearch/higher,,pytorch-utils,https://github.com/facebookresearch/higher,https://github.com/facebookresearch/higher,Apache-2.0,2019-09-06 18:58:36.000000,2021-06-21 15:17:40.000000,2021-06-21 15:17:40.000000,83,34.0,49.0,1175.0,30.0,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,9.0,22,True,2020-07-14 12:20:32.000000,0.2.1,2.0,higher,,,,['pytorch'],61.0,61.0,https://pypi.org/project/higher,2020-07-14 12:20:32.000000,0.0,30543.0,30543.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n513,TabNet,dreamquark-ai/tabnet,,pytorch-utils,https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000000,2021-06-24 08:47:54.000000,2021-05-27 09:32:27.000000,226,36.0,127.0,1125.0,168.0,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,18.0,22,True,2021-02-02 08:05:11.000000,3.1.1,17.0,pytorch-tabnet,,,,['pytorch'],0.0,,https://pypi.org/project/pytorch-tabnet,2021-02-02 08:05:11.000000,0.0,15377.0,15377.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n514,Optimus,hi-primus/optimus,,data-pipelines,https://github.com/hi-primus/optimus,https://github.com/hi-primus/optimus,Apache-2.0,2017-07-13 02:31:18.000000,2021-07-08 04:57:10.000000,2021-07-08 04:56:51.000000,196,39.0,173.0,1032.0,3530.0,\"Agile Data Preparation Workflows madeeasy with Pandas, Dask, cuDF, Dask-cuDF and PySpark.\",23.0,22,True,2020-07-19 03:05:40.000000,2.2.32,85.0,optimuspyspark,,,,['spark'],,,https://pypi.org/project/optimuspyspark,2019-05-30 02:22:54.000000,,8357.0,8357.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n515,ChainerRL,chainer/chainerrl,,reinforcement-learning,https://github.com/chainer/chainerrl,https://github.com/chainer/chainerrl,MIT,2017-01-30 04:58:15.000000,2021-04-17 06:02:31.000000,2021-04-17 06:02:30.000000,207,75.0,147.0,967.0,3471.0,ChainerRL is a deep reinforcement learning library built on top of Chainer.,29.0,22,True,2020-02-14 05:35:56.000000,0.8.0,10.0,chainerrl,,,,,114.0,100.0,https://pypi.org/project/chainerrl,2020-02-14 05:35:56.000000,14.0,805.0,805.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n516,Explainability 360,Trusted-AI/AIX360,,interpretability,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48.000000,2021-05-02 10:43:29.000000,2021-05-02 10:43:29.000000,176,28.0,23.0,875.0,307.0,Interpretability and explainability of data and machine learning models.,27.0,22,True,2020-10-28 09:32:21.000000,0.2.1,4.0,aix360,,,,,22.0,21.0,https://pypi.org/project/aix360,2020-10-28 09:18:17.000000,1.0,1261.0,1261.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n517,scikit-cuda,lebedov/scikit-cuda,,gpu-utilities,https://github.com/lebedov/scikit-cuda,https://github.com/lebedov/scikit-cuda,BSD-3-Clause,2010-09-27 02:02:07.000000,2021-03-30 14:24:47.000000,2021-03-30 14:24:27.000000,162,44.0,165.0,841.0,1029.0,Python interface to GPU-powered libraries.,44.0,22,True,2019-05-27 00:29:00.000000,0.5.3,7.0,scikit-cuda,,,,,204.0,134.0,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00.000000,70.0,823.0,823.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n518,tf-explain,sicara/tf-explain,,interpretability,https://github.com/sicara/tf-explain,https://github.com/sicara/tf-explain,MIT,2019-07-15 08:26:24.000000,2021-06-22 10:19:30.000000,2021-06-22 10:19:30.000000,79,33.0,48.0,839.0,199.0,Interpretability Methods for tf.keras models with Tensorflow 2.x.,15.0,22,True,2021-02-16 18:59:38.000000,0.3.0,7.0,tf-explain,,,,['tensorflow'],84.0,82.0,https://pypi.org/project/tf-explain,2021-02-16 18:59:38.000000,2.0,1749.0,1749.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n519,lightning-flash,PyTorchLightning/lightning-flash,,pytorch-utils,https://github.com/PyTorchLightning/lightning-flash,https://github.com/PyTorchLightning/lightning-flash,Apache-2.0,2021-01-28 18:47:16.000000,2021-07-08 10:50:07.000000,2021-07-08 08:59:29.000000,65,98.0,95.0,809.0,471.0,\"Collection of tasks for fast prototyping, baselining, finetuning and solving problems with deep learning.\",31.0,22,True,2021-06-22 11:20:42.000000,0.4.0,22.0,lightning-flash,,,,['pytorch'],13.0,13.0,https://pypi.org/project/lightning-flash,2021-06-22 11:20:42.000000,0.0,1831.0,1831.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n520,Madmom,CPJKU/madmom,,audio,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06.000000,2021-05-06 10:13:17.000000,2019-12-19 14:46:37.000000,128,54.0,182.0,765.0,1722.0,Python audio and music signal processing library.,19.0,22,False,2018-11-14 14:57:41.000000,0.16.1,11.0,madmom,,,,,167.0,133.0,https://pypi.org/project/madmom,2018-11-14 14:56:22.000000,34.0,3632.0,3632.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n521,alibi-detect,SeldonIO/alibi-detect,,others,https://github.com/SeldonIO/alibi-detect,https://github.com/SeldonIO/alibi-detect,Apache-2.0,2019-10-07 13:29:13.000000,2021-07-08 08:58:04.000000,2021-07-02 12:23:55.000000,78,62.0,79.0,755.0,364.0,\"Algorithms for outlier, adversarial and drift detection.\",8.0,22,True,2021-06-07 11:23:29.000000,0.7.0,15.0,alibi-detect,,,,,30.0,29.0,https://pypi.org/project/alibi-detect,2021-06-07 11:21:33.000000,1.0,16750.0,16750.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n522,kapre,keunwoochoi/kapre,,audio,https://github.com/keunwoochoi/kapre,https://github.com/keunwoochoi/kapre,MIT,2016-12-14 18:36:36.000000,2021-03-25 21:02:49.000000,2021-03-25 21:02:44.000000,129,9.0,80.0,752.0,190.0,kapre: Keras Audio Preprocessors.,13.0,22,True,2021-03-18 22:14:02.000000,Kapre-0.3.5,21.0,kapre,,,,['tensorflow'],928.0,906.0,https://pypi.org/project/kapre,2020-09-29 18:49:13.000000,22.0,2027.0,2027.0,,,,,,,,3.0,12.0,,,,,,,,,,,,,,,,,,,,\n523,Node2Vec,eliorc/node2vec,,graph,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000000,2021-04-16 07:45:36.000000,2021-04-16 07:42:56.000000,175,3.0,61.0,734.0,56.0,Implementation of the node2vec algorithm.,8.0,22,True,2021-04-16 07:45:36.000000,0.4.3,14.0,node2vec,conda-forge/node2vec,,,,170.0,160.0,https://pypi.org/project/node2vec,2021-04-02 06:33:26.000000,10.0,11663.0,12139.0,https://anaconda.org/conda-forge/node2vec,2020-04-25 22:41:13.714000,18115.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n524,gmaps,pbugnion/gmaps,,geospatial-data,https://github.com/pbugnion/gmaps,https://github.com/pbugnion/gmaps,BSD-3-Clause,2014-12-01 09:12:06.000000,2020-10-13 07:09:18.000000,2019-07-22 06:22:45.000000,143,66.0,136.0,714.0,1380.0,Google maps for Jupyter notebooks.,16.0,22,False,2019-07-21 08:49:48.715000,0.9.0,94.0,gmaps,conda-forge/gmaps,,,['jupyter'],75.0,1.0,https://pypi.org/project/gmaps,2019-07-21 08:49:39.000000,74.0,8968.0,15348.0,https://anaconda.org/conda-forge/gmaps,2019-08-02 11:56:50.940000,233352.0,,,,,3.0,,,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715000,,1713.0,,,,,,,,,,,,,\n525,torch-scatter,rusty1s/pytorch_scatter,,pytorch-utils,https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23.000000,2021-06-26 17:16:35.000000,2021-06-26 17:16:32.000000,79,71.0,130.0,700.0,910.0,PyTorch Extension Library of Optimized Scatter Operations.,15.0,22,True,2021-06-07 06:25:31.000000,2.0.7,27.0,torch-scatter,,,,['pytorch'],32.0,,https://pypi.org/project/torch-scatter,2021-06-07 06:25:31.000000,32.0,25343.0,25343.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n526,lets-plot,JetBrains/lets-plot,,data-viz,https://github.com/JetBrains/lets-plot,https://github.com/JetBrains/lets-plot,MIT,2019-03-20 16:13:03.000000,2021-07-08 14:36:12.000000,2021-07-08 08:57:32.000000,22,75.0,108.0,641.0,2009.0,An open-source plotting library for statistical data.,15.0,22,True,2021-06-09 19:56:57.000000,2.0.4,36.0,lets-plot,,,,,11.0,11.0,https://pypi.org/project/lets-plot,2021-06-09 19:24:41.000000,0.0,5579.0,5583.0,,,,,,,,3.0,84.0,,,,,,,,,,,,,,,,,,,,\n527,TensorBoard Logger,TeamHG-Memex/tensorboard_logger,,ml-experiments,https://github.com/TeamHG-Memex/tensorboard_logger,https://github.com/TeamHG-Memex/tensorboard_logger,MIT,2016-10-27 14:02:25.000000,2021-06-09 17:35:49.000000,2019-10-21 07:52:07.000000,52,9.0,15.0,613.0,46.0,Log TensorBoard events without touching TensorFlow.,5.0,22,False,2018-02-08 07:28:51.000000,0.1.0,5.0,tensorboard_logger,,,,,96.0,,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51.000000,96.0,65434.0,65434.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n528,audiomentations,iver56/audiomentations,,audio,https://github.com/iver56/audiomentations,https://github.com/iver56/audiomentations,MIT,2019-02-12 16:36:24.000000,2021-07-03 21:04:32.000000,2021-07-03 21:04:31.000000,78,22.0,58.0,612.0,420.0,A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.,16.0,22,True,2021-06-25 11:15:10.000000,0.17.0,19.0,audiomentations,,,,,54.0,54.0,https://pypi.org/project/audiomentations,2021-06-25 11:15:10.000000,,2487.0,2487.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n529,Guild AI,guildai/guildai,,ml-experiments,https://github.com/guildai/guildai,https://github.com/guildai/guildai,Apache-2.0,2017-09-27 18:57:50.000000,2021-07-08 14:43:22.000000,2021-07-08 14:43:22.000000,44,104.0,170.0,601.0,4533.0,\"Experiment tracking, ML developer tools.\",17.0,22,True,2021-03-25 22:43:31.000000,0.7.3,170.0,guildai,,,,,32.0,32.0,https://pypi.org/project/guildai,2021-04-12 20:27:53.000000,,3123.0,3123.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n530,Mapbox GL,mapbox/mapboxgl-jupyter,,geospatial-data,https://github.com/mapbox/mapboxgl-jupyter,https://github.com/mapbox/mapboxgl-jupyter,MIT,2017-08-08 15:10:51.000000,2021-05-31 23:04:25.000000,2021-04-19 05:00:36.000000,121,35.0,67.0,571.0,221.0,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,21.0,22,True,2019-06-03 21:24:10.000000,0.10.2,20.0,mapboxgl,,,,['jupyter'],127.0,109.0,https://pypi.org/project/mapboxgl,2019-06-02 15:18:57.000000,18.0,4890.0,4890.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n531,tinytag,devsnd/tinytag,,audio,https://github.com/devsnd/tinytag,https://github.com/devsnd/tinytag,MIT,2014-01-27 15:27:01.000000,2021-06-13 14:21:06.000000,2021-06-13 14:20:35.000000,82,16.0,66.0,467.0,322.0,\"Read music meta data and length of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA and Wave files with python 2 or 3.\",20.0,22,True,2020-11-05 12:44:52.000000,1.5.0,33.0,tinytag,,,,,475.0,379.0,https://pypi.org/project/tinytag,2020-11-05 12:44:52.000000,96.0,5003.0,5003.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n532,PyTorch Sparse,rusty1s/pytorch_sparse,,pytorch-utils,https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53.000000,2021-07-03 19:48:39.000000,2021-07-03 19:48:36.000000,55,53.0,70.0,428.0,588.0,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,15.0,22,True,2021-06-17 07:47:37.000000,0.6.10,22.0,torch-sparse,,,,['pytorch'],34.0,,https://pypi.org/project/torch-sparse,2021-06-17 07:47:37.000000,34.0,21355.0,21355.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n533,torch-cluster,rusty1s/pytorch_cluster,,graph,https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06.000000,2021-07-03 19:33:27.000000,2021-07-03 19:33:23.000000,74,40.0,45.0,388.0,544.0,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,18.0,22,True,2021-03-01 13:58:47.000000,1.5.9,39.0,torch-cluster,,,,['pytorch'],32.0,,https://pypi.org/project/torch-cluster,2021-03-01 12:28:43.000000,32.0,10042.0,10042.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n534,lazypredict,shankarpandala/lazypredict,,hyperopt,https://github.com/shankarpandala/lazypredict,https://github.com/shankarpandala/lazypredict,MIT,2019-11-16 09:56:35.000000,2021-06-24 18:13:52.000000,2021-06-21 10:12:37.000000,84,23.0,30.0,380.0,195.0,Lazy Predict help build a lot of basic models without much code and helps understand which models works better without..,13.0,22,True,2021-02-17 15:38:45.000000,0.2.9,11.0,lazypredict,,,,['sklearn'],105.0,105.0,https://pypi.org/project/lazypredict,2021-02-17 15:38:45.000000,,5218.0,5218.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n535,Studio.ml,studioml/studio,,ml-experiments,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28.000000,2021-06-14 17:19:56.000000,2021-06-14 17:08:42.000000,52,55.0,195.0,373.0,2395.0,Studio: Simplify and expedite model building process.,21.0,22,True,2021-05-30 21:35:06.000000,0.0.47,204.0,studioml,,,,,4.0,4.0,https://pypi.org/project/studioml,2021-06-14 17:19:56.000000,,2262.0,2262.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n536,GeoViews,holoviz/geoviews,,geospatial-data,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000000,2021-04-13 11:40:25.000000,2021-04-13 11:40:25.000000,64,81.0,180.0,350.0,656.0,\"Simple, concise geographical visualization in Python.\",23.0,22,True,2021-03-13 16:29:11.000000,1.9.1,26.0,geoviews,conda-forge/geoviews,,,,20.0,,https://pypi.org/project/geoviews,2021-03-13 16:29:11.000000,20.0,6496.0,8296.0,https://anaconda.org/conda-forge/geoviews,2021-03-14 15:19:05.550000,72004.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n537,pySBD,nipunsadvilkar/pySBD,,nlp,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20.000000,2021-04-25 08:42:15.000000,2021-02-11 16:40:18.000000,33,8.0,48.0,330.0,279.0,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,6.0,22,True,2021-02-11 16:42:37.000000,0.3.4,15.0,pysbd,,,,,186.0,182.0,https://pypi.org/project/pysbd,2021-02-11 16:36:33.000000,4.0,33015.0,33015.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n538,scikit-rebate,EpistasisLab/scikit-rebate,,others,https://github.com/EpistasisLab/scikit-rebate,https://github.com/EpistasisLab/scikit-rebate,MIT,2016-09-19 13:36:17.000000,2021-05-18 21:20:09.000000,2021-02-15 17:10:59.000000,59,13.0,19.0,324.0,283.0,\"A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for..\",13.0,22,True,2017-04-12 16:12:01.000000,0.3.4,13.0,skrebate,,,,['sklearn'],204.0,142.0,https://pypi.org/project/skrebate,2021-03-20 17:11:52.000000,62.0,3540.0,3540.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n539,pysparkling,svenkreiss/pysparkling,,data-pipelines,https://github.com/svenkreiss/pysparkling,https://github.com/svenkreiss/pysparkling,MIT,2015-05-09 19:23:20.000000,2021-03-05 14:35:43.000000,2021-02-22 17:29:11.000000,45,7.0,21.0,237.0,1527.0,A pure Python implementation of Apache Spark's RDD and DStream interfaces.,10.0,22,False,2021-01-10 21:15:26.000000,0.6.1,68.0,pysparkling,,,,,81.0,67.0,https://pypi.org/project/pysparkling,2021-01-10 21:15:26.000000,14.0,18765.0,18765.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n540,stop-words,Alir3z4/python-stop-words,,nlp,https://github.com/Alir3z4/python-stop-words,https://github.com/Alir3z4/python-stop-words,BSD-3-Clause,2014-05-26 06:44:03.000000,2019-10-16 15:01:43.000000,2018-07-23 21:04:09.000000,23,3.0,9.0,129.0,90.0,Get list of common stop words in various languages in Python.,8.0,22,False,2018-07-23 20:58:34.000000,2018.7.23,8.0,stop-words,,,,,1511.0,1253.0,https://pypi.org/project/stop-words,2018-07-23 20:55:55.000000,258.0,85082.0,85082.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n541,Recommenders,microsoft/recommenders,,recommender-systems,https://github.com/microsoft/recommenders,https://github.com/microsoft/recommenders,MIT,2018-09-19 10:06:07.000000,2021-07-08 13:55:37.000000,2021-06-17 16:41:09.000000,1813,145.0,457.0,10565.0,6334.0,Best Practices on Recommendation Systems.,96.0,21,True,2021-06-18 15:59:34.000000,0.6.0,8.0,,,,,,2.0,2.0,,,,,1.0,,,,,,,,2.0,34.0,,-1.0,,,,,,,,,,,,,,,,,,\n542,Dejavu,worldveil/dejavu,,audio,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35.000000,2020-10-29 17:40:17.000000,2020-06-03 05:58:03.000000,1250,84.0,129.0,5467.0,146.0,Audio fingerprinting and recognition in Python.,23.0,21,False,2015-04-19 21:20:16.000000,0.1.3,4.0,PyDejavu,,,,,21.0,18.0,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16.000000,3.0,149.0,149.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n543,Qlib,microsoft/qlib,,financial-data,https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000000,2021-07-08 01:47:02.000000,2021-07-06 01:22:11.000000,868,82.0,180.0,5243.0,,\"Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research,..\",48.0,21,True,2021-02-02 09:29:47.000000,0.6.2,16.0,pyqlib,,,,['pytorch'],4.0,4.0,https://pypi.org/project/pyqlib,2021-02-02 09:29:47.000000,,4434.0,4460.0,,,,,,,,3.0,265.0,,,,,,,,,,,,,,,,,,,,\n544,vit-pytorch,lucidrains/vit-pytorch,,image,https://github.com/lucidrains/vit-pytorch,https://github.com/lucidrains/vit-pytorch,MIT,2020-10-03 22:47:24.000000,2021-07-02 22:49:24.000000,2021-07-02 22:48:48.000000,634,51.0,65.0,4943.0,,\"Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single..\",10.0,21,True,2021-07-02 22:49:24.000000,0.20.0,84.0,vit-pytorch,,,,['pytorch'],24.0,24.0,https://pypi.org/project/vit-pytorch,2021-07-02 22:49:24.000000,,3519.0,3519.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n545,MMF,facebookresearch/mmf,,image,https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40.000000,2021-07-08 01:34:25.000000,2021-07-07 20:35:20.000000,711,159.0,394.0,4485.0,912.0,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,68.0,21,True,2019-08-26 19:04:21.000000,0.3.1,12.0,mmf,,,,['pytorch'],7.0,7.0,https://pypi.org/project/mmf,2020-06-12 22:15:02.000000,0.0,392.0,392.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n546,mace,XiaoMi/mace,,ml-frameworks,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12.000000,2021-07-06 05:07:33.000000,2021-07-06 05:07:00.000000,770,41.0,610.0,4418.0,3211.0,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,63.0,21,True,2021-03-18 10:07:32.000000,1.0.4,11.0,,,,,,,,,,,,38.0,,,,,,,,3.0,1356.0,,,,,,,,,,,,,,,,,,,,\n547,Image Deduplicator,idealo/imagededup,,image,https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54.000000,2021-03-16 10:25:33.000000,2020-11-23 17:40:40.000000,306,20.0,57.0,3660.0,460.0,Finding duplicate images made easy!.,9.0,21,True,2020-11-23 17:55:24.000000,0.2.4,9.0,imagededup,,,,['tensorflow'],16.0,14.0,https://pypi.org/project/imagededup,2020-11-22 21:09:36.000000,2.0,5263.0,5263.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n548,deep-daze,lucidrains/deep-daze,,image,https://github.com/lucidrains/deep-daze,https://github.com/lucidrains/deep-daze,MIT,2021-01-17 06:00:50.000000,2021-07-04 20:22:19.000000,2021-07-04 20:22:19.000000,235,51.0,64.0,3491.0,,Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation..,12.0,21,True,2021-04-08 01:08:57.000000,0.10.2,64.0,deep-daze,,,,,19.0,19.0,https://pypi.org/project/deep-daze,2021-04-07 18:15:40.000000,,4161.0,4161.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n549,TRFL,deepmind/trfl,,reinforcement-learning,https://github.com/deepmind/trfl,https://github.com/deepmind/trfl,Apache-2.0,2018-08-08 14:44:11.000000,2020-11-06 04:44:44.000000,2020-04-20 13:05:56.000000,372,6.0,16.0,3070.0,116.0,TensorFlow Reinforcement Learning.,12.0,21,False,2020-04-20 14:11:57.000000,1.1.0,4.0,trfl,,,,['tensorflow'],53.0,51.0,https://pypi.org/project/trfl,2020-04-20 14:11:57.000000,2.0,1847.0,1847.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n550,NeMo,NVIDIA/NeMo,,nlp,https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000000,2021-07-08 05:26:37.000000,2021-07-08 05:26:37.000000,547,91.0,533.0,2875.0,,NeMo: a toolkit for conversational AI.,96.0,21,True,2021-07-02 21:51:32.000000,1.1.0,40.0,nemo-toolkit,,,,['pytorch'],4.0,,https://pypi.org/project/nemo-toolkit,2021-07-02 21:07:07.000000,4.0,7189.0,7389.0,,,,,,,,3.0,4418.0,,,,,,,,,,,,,,,,,,,,\n551,Texthero,jbesomi/texthero,,nlp,https://github.com/jbesomi/texthero,https://github.com/jbesomi/texthero,MIT,2020-04-06 15:16:05.000000,2021-07-01 17:11:02.000000,2021-04-07 16:52:32.000000,195,76.0,57.0,2238.0,268.0,\"Text preprocessing, representation and visualization from zero to hero.\",18.0,21,True,2021-07-01 17:11:02.000000,1.1.0,10.0,texthero,,,,,0.0,,https://pypi.org/project/texthero,2021-07-01 17:11:02.000000,0.0,5760.0,5764.0,,,,,,,,3.0,69.0,,2.0,,,,,,,,,,,,,,,,,,\n552,MONAI,Project-MONAI/MONAI,,medical-data,https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000000,2021-07-08 14:38:57.000000,2021-07-08 13:54:19.000000,391,115.0,924.0,2105.0,,AI Toolkit for Healthcare Imaging.,72.0,21,True,2021-06-01 20:50:14.000000,0.5.3,24.0,monai,,,,['pytorch'],0.0,,https://pypi.org/project/monai,2021-07-07 11:11:52.000000,0.0,8833.0,8833.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n553,PARL,PaddlePaddle/PARL,,reinforcement-learning,https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22.000000,2021-07-08 13:09:56.000000,2021-07-08 13:06:19.000000,505,55.0,188.0,2072.0,1.0,A high-performance distributed training framework for Reinforcement Learning.,25.0,21,True,2021-07-08 13:09:56.000000,2.0.2,22.0,parl,,,,['paddle'],72.0,72.0,https://pypi.org/project/parl,2021-07-08 13:09:56.000000,,691.0,691.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n554,cleanlab,cgnorthcutt/cleanlab,,others,https://github.com/cgnorthcutt/cleanlab,https://github.com/cgnorthcutt/cleanlab,AGPL-3.0,2018-05-11 01:55:21.000000,2021-06-06 01:28:39.000000,2021-06-06 01:28:39.000000,194,20.0,45.0,2024.0,808.0,The standard package for machine learning with noisy labels and finding mislabeled data. Works with most datasets and..,6.0,21,False,2021-04-18 19:52:49.000000,1.0,15.0,cleanlab,,,,,17.0,17.0,https://pypi.org/project/cleanlab,2020-02-17 07:33:06.000000,,4936.0,4936.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n555,vissl,facebookresearch/vissl,,image,https://github.com/facebookresearch/vissl,https://github.com/facebookresearch/vissl,MIT,2020-04-09 19:40:33.000000,2021-07-07 19:22:47.000000,2021-07-07 19:22:43.000000,158,37.0,44.0,1772.0,197.0,\"VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.\",24.0,21,True,2021-03-02 18:51:51.000000,0.1.5,5.0,vissl,,,,['pytorch'],,,https://pypi.org/project/vissl,2021-01-25 17:22:19.000000,,528.0,528.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n556,Sweetviz,fbdesignpro/sweetviz,,data-viz,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47.000000,2021-05-28 14:19:52.000000,2021-05-28 12:53:42.000000,169,22.0,60.0,1666.0,101.0,\"Visualize and compare datasets, target values and associations, with one line of code.\",6.0,21,True,2021-05-28 14:19:52.000000,2.1.2,30.0,sweetviz,,,,,0.0,,https://pypi.org/project/sweetviz,2021-05-27 19:27:40.000000,0.0,27506.0,27506.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n557,reformer-pytorch,lucidrains/reformer-pytorch,,pytorch-utils,https://github.com/lucidrains/reformer-pytorch,https://github.com/lucidrains/reformer-pytorch,MIT,2020-01-09 20:42:37.000000,2021-05-09 14:50:10.000000,2021-05-09 14:49:27.000000,204,11.0,100.0,1536.0,243.0,\"Reformer, the efficient Transformer, in Pytorch.\",10.0,21,True,2021-05-09 14:49:45.000000,1.4.2,137.0,reformer-pytorch,,,,['pytorch'],,,https://pypi.org/project/reformer-pytorch,2021-05-09 14:50:10.000000,,2088.0,2088.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n558,lore,instacart/lore,,ml-experiments,https://github.com/instacart/lore,https://github.com/instacart/lore,MIT,2017-10-19 21:51:45.000000,2021-05-26 18:44:09.000000,2020-05-11 22:26:45.000000,119,16.0,18.0,1518.0,270.0,Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers.,22.0,21,False,2020-05-11 22:28:23.000000,0.8.4,231.0,lore,,,,,17.0,16.0,https://pypi.org/project/lore,2020-05-11 22:28:23.000000,1.0,1068.0,1068.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n559,hiddenlayer,waleedka/hiddenlayer,,ml-experiments,https://github.com/waleedka/hiddenlayer,https://github.com/waleedka/hiddenlayer,MIT,2018-05-18 22:34:51.000000,2021-06-12 16:54:12.000000,2020-04-24 06:58:09.000000,214,45.0,34.0,1477.0,58.0,\"Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.\",6.0,21,False,2018-12-03 04:33:29.000000,0.2,3.0,hiddenlayer,,,,\"['pytorch', 'tensorflow', 'jupyter']\",84.0,76.0,https://pypi.org/project/hiddenlayer,2020-04-24 07:32:11.000000,8.0,2675.0,2675.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n560,EfficientNets,rwightman/gen-efficientnet-pytorch,,pytorch-utils,https://github.com/rwightman/gen-efficientnet-pytorch,https://github.com/rwightman/gen-efficientnet-pytorch,Apache-2.0,2019-05-11 19:35:56.000000,2021-04-16 18:42:01.000000,2020-11-30 05:49:27.000000,178,,48.0,1352.0,106.0,\"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.\",5.0,21,True,2020-08-20 19:55:21.000000,1.0.0,9.0,geffnet,,,,['pytorch'],61.0,61.0,https://pypi.org/project/geffnet,2020-08-20 19:55:21.000000,0.0,5647.0,5647.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n561,Classy Vision,facebookresearch/ClassyVision,,image,https://github.com/facebookresearch/ClassyVision,https://github.com/facebookresearch/ClassyVision,MIT,2019-09-13 22:54:44.000000,2021-07-07 03:29:24.000000,2021-07-06 22:31:46.000000,229,49.0,54.0,1298.0,375.0,An end-to-end PyTorch framework for image and video classification.,62.0,21,True,2020-11-20 21:02:29.000000,0.5.0,15.0,classy_vision,conda-forge/classy_vision,,,['pytorch'],0.0,,https://pypi.org/project/classy_vision,2020-11-20 21:02:29.000000,0.0,1732.0,2195.0,https://anaconda.org/conda-forge/classy_vision,2020-12-11 20:08:25.437000,8350.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n562,datatable,h2oai/datatable,,data-containers,https://github.com/h2oai/datatable,https://github.com/h2oai/datatable,MPL-2.0,2017-03-03 02:32:59.000000,2021-07-08 00:07:41.000000,2021-07-07 22:35:29.000000,113,119.0,1180.0,1244.0,,A Python package for manipulating 2-dimensional tabular data structures.,28.0,21,True,2021-07-02 00:15:35.000000,1.0.0,16.0,datatable,,,,,6.0,,https://pypi.org/project/datatable,2021-07-01 23:36:34.000000,6.0,53902.0,53923.0,,,,,,,,3.0,999.0,,,,,,,,,,,,,,,,,,,,\n563,pytorch-forecasting,jdb78/pytorch-forecasting,,time-series-data,https://github.com/jdb78/pytorch-forecasting,https://github.com/jdb78/pytorch-forecasting,MIT,2020-07-03 13:05:24.000000,2021-07-08 15:25:21.000000,2021-07-07 16:27:31.000000,142,73.0,194.0,1189.0,942.0,Time series forecasting with PyTorch.,18.0,21,True,2021-06-04 17:48:44.000000,0.9.0,27.0,pytorch-forecasting,,,,,,,https://pypi.org/project/pytorch-forecasting,2021-06-04 17:48:44.000000,,10456.0,10456.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n564,CausalNex,quantumblacklabs/causalnex,,interpretability,https://github.com/quantumblacklabs/causalnex,https://github.com/quantumblacklabs/causalnex,Apache-2.0,2019-12-12 15:26:09.000000,2021-06-19 10:57:44.000000,2021-05-11 18:43:42.000000,127,38.0,44.0,1183.0,117.0,A Python library that helps data scientists to infer causation rather than observing correlation.,18.0,21,True,2021-05-11 18:35:56.000000,0.10.0,15.0,causalnex,,,,\"['pytorch', 'sklearn']\",14.0,14.0,https://pypi.org/project/causalnex,2021-05-11 18:35:56.000000,,2299.0,2299.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n565,tensorrec,jfkirk/tensorrec,,recommender-systems,https://github.com/jfkirk/tensorrec,https://github.com/jfkirk/tensorrec,Apache-2.0,2017-02-28 18:51:11.000000,2021-06-08 20:06:07.000000,2020-02-04 21:10:25.000000,215,34.0,90.0,1146.0,334.0,A TensorFlow recommendation algorithm and framework in Python.,8.0,21,False,2019-04-02 00:53:47.000000,0.26.2,30.0,tensorrec,,,,['tensorflow'],29.0,26.0,https://pypi.org/project/tensorrec,2019-04-02 00:53:47.000000,3.0,692.0,692.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n566,RecBole,RUCAIBox/RecBole,,recommender-systems,https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000000,2021-07-08 03:35:56.000000,2021-07-07 07:13:49.000000,169,42.0,103.0,1096.0,3026.0,\"A unified, comprehensive and efficient recommendation library.\",40.0,21,True,2021-04-06 09:53:37.000000,0.2.1,5.0,recbole,aibox/recbole,,,['pytorch'],,,https://pypi.org/project/recbole,2021-03-22 14:22:38.000000,,456.0,519.0,https://anaconda.org/aibox/recbole,2021-03-22 14:53:52.593000,510.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n567,TaskTiger,closeio/tasktiger,,data-pipelines,https://github.com/closeio/tasktiger,https://github.com/closeio/tasktiger,MIT,2015-05-14 00:26:32.000000,2021-06-14 12:52:20.000000,2021-06-14 12:52:20.000000,59,36.0,35.0,1083.0,269.0,Python task queue using Redis.,22.0,21,True,2021-04-21 06:15:46.000000,0.15,25.0,tasktiger,,,,,38.0,20.0,https://pypi.org/project/tasktiger,2021-04-16 07:36:13.000000,18.0,1622.0,1622.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n568,gplearn,trevorstephens/gplearn,,others,https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14.000000,2021-07-01 00:24:09.000000,2021-07-01 00:24:09.000000,163,36.0,123.0,961.0,147.0,\"Genetic Programming in Python, with a scikit-learn inspired API.\",10.0,21,True,2019-06-01 02:04:52.000000,0.4.1,5.0,gplearn,,,,['sklearn'],188.0,174.0,https://pypi.org/project/gplearn,2019-06-01 02:04:52.000000,14.0,1668.0,1668.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n569,luminol,linkedin/luminol,,time-series-data,https://github.com/linkedin/luminol,https://github.com/linkedin/luminol,Apache-2.0,2015-11-18 23:16:33.000000,2020-12-27 09:54:35.000000,2018-01-09 07:46:55.000000,190,31.0,12.0,941.0,69.0,Anomaly Detection and Correlation library.,8.0,21,False,2016-01-20 01:01:44.000000,0.3.1,5.0,luminol,,,,,68.0,40.0,https://pypi.org/project/luminol,2017-12-11 06:04:15.000000,28.0,41227.0,41227.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n570,geoplotlib,andrea-cuttone/geoplotlib,,geospatial-data,https://github.com/andrea-cuttone/geoplotlib,https://github.com/andrea-cuttone/geoplotlib,MIT,2015-02-24 13:13:07.000000,2020-04-10 20:00:31.000000,2019-05-06 07:06:50.000000,155,30.0,18.0,919.0,159.0,python toolbox for visualizing geographical data and making maps.,8.0,21,False,2016-07-27 14:55:01.000000,0.3.2,4.0,geoplotlib,,,,,120.0,109.0,https://pypi.org/project/geoplotlib,2016-07-27 14:55:01.000000,11.0,1733.0,1733.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n571,TF Recommenders,tensorflow/recommenders,,recommender-systems,https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01.000000,2021-07-07 19:24:06.000000,2021-07-01 18:00:25.000000,118,77.0,77.0,908.0,,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,23.0,21,True,2021-05-17 16:37:44.000000,0.5.1,10.0,tensorflow-recommenders,,,,['tensorflow'],29.0,29.0,https://pypi.org/project/tensorflow-recommenders,2021-05-17 16:37:44.000000,0.0,23095.0,23095.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n572,TFEncrypted,tf-encrypted/tf-encrypted,,privacy-ml,https://github.com/tf-encrypted/tf-encrypted,https://github.com/tf-encrypted/tf-encrypted,Apache-2.0,2018-03-21 18:22:13.000000,2021-04-21 08:39:31.000000,2020-08-19 16:56:56.000000,152,169.0,232.0,895.0,595.0,A Framework for Encrypted Machine Learning in TensorFlow.,28.0,21,True,2019-09-27 20:00:01.000000,0.5.9,35.0,tf-encrypted,,,,['tensorflow'],70.0,54.0,https://pypi.org/project/tf-encrypted,2019-10-21 18:05:53.000000,16.0,678.0,678.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n573,keras-ocr,faustomorales/keras-ocr,,ocr,https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50.000000,2021-06-30 10:06:10.000000,2021-06-18 05:03:36.000000,215,41.0,100.0,878.0,180.0,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,10.0,21,True,2021-06-14 13:06:32.000000,0.8.7,27.0,keras-ocr,,,,['tensorflow'],2.0,,https://pypi.org/project/keras-ocr,2021-06-14 13:06:32.000000,2.0,4938.0,10431.0,,,,,,,,3.0,54930.0,,,,,,,,,,,,,,,,,,,,\n574,attention-ocr,emedvedev/attention-ocr,,ocr,https://github.com/emedvedev/attention-ocr,https://github.com/emedvedev/attention-ocr,MIT,2017-07-21 18:35:19.000000,2021-02-23 04:33:25.000000,2020-10-31 19:40:19.000000,233,20.0,126.0,872.0,196.0,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,27.0,21,True,2020-10-12 06:56:40.000000,0.7.6,21.0,aocr,,,,['tensorflow'],17.0,17.0,https://pypi.org/project/aocr,2019-04-19 05:28:27.000000,,1191.0,1191.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n575,Satpy,pytroll/satpy,,geospatial-data,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000000,2021-07-06 20:26:01.000000,2021-06-29 15:16:06.000000,201,307.0,370.0,724.0,,Python package for earth-observing satellite data processing.,110.0,21,False,2021-06-06 14:38:31.000000,0.29.0,68.0,satpy,conda-forge/satpy,,,,50.0,44.0,https://pypi.org/project/satpy,2021-06-06 14:38:31.000000,6.0,1564.0,3408.0,https://anaconda.org/conda-forge/satpy,2021-06-06 21:57:26.187000,66389.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n576,mlens,flennerhag/mlens,,others,https://github.com/flennerhag/mlens,https://github.com/flennerhag/mlens,MIT,2017-01-10 20:53:47.000000,2020-02-25 14:32:48.000000,2020-02-25 14:31:53.000000,88,8.0,73.0,692.0,879.0,ML-Ensemble high performance ensemble learning.,7.0,21,False,2018-10-30 22:34:35.000000,0.2.3,14.0,mlens,,,,,142.0,139.0,https://pypi.org/project/mlens,2018-10-30 22:30:43.000000,3.0,13694.0,13694.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n577,TreeInterpreter,andosa/treeinterpreter,,interpretability,https://github.com/andosa/treeinterpreter,https://github.com/andosa/treeinterpreter,BSD-3-Clause,2015-08-02 20:26:21.000000,2021-02-28 18:33:06.000000,2021-02-28 18:33:06.000000,132,24.0,4.0,670.0,37.0,Package for interpreting scikit-learn's decision tree and random forest predictions.,11.0,21,True,2021-01-10 20:12:39.000000,0.2.3,5.0,treeinterpreter,,,,['sklearn'],166.0,148.0,https://pypi.org/project/treeinterpreter,2021-01-10 20:12:39.000000,18.0,181103.0,181103.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n578,Prince,MaxHalford/prince,,others,https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000000,2021-04-15 19:05:12.000000,2021-01-11 21:14:58.000000,123,32.0,66.0,661.0,179.0,\"Python factor analysis library (PCA, CA, MCA, MFA, FAMD).\",9.0,21,True,2020-10-06 11:26:47.000000,0.7.1,41.0,prince,,,,['sklearn'],142.0,136.0,https://pypi.org/project/prince,2020-10-06 11:26:47.000000,6.0,19091.0,19091.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n579,pdpipe,pdpipe/pdpipe,,data-pipelines,https://github.com/pdpipe/pdpipe,https://github.com/pdpipe/pdpipe,MIT,2017-01-24 20:37:22.000000,2021-06-20 13:05:01.000000,2021-06-20 12:59:10.000000,28,7.0,15.0,610.0,343.0,Easy pipelines for pandas DataFrames.,8.0,21,True,2021-02-23 19:40:09.000000,0.0.51,49.0,pdpipe,,,,['pandas'],32.0,32.0,https://pypi.org/project/pdpipe,2020-11-09 09:32:37.000000,0.0,1927.0,1927.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n580,Labml,labmlai/labml,,ml-experiments,https://github.com/labmlai/labml,https://github.com/labmlai/labml,MIT,2018-11-16 09:34:48.000000,2021-07-06 02:12:42.000000,2021-07-06 02:12:36.000000,49,6.0,8.0,592.0,1019.0,Monitor deep learning model training and hardware usage from your mobile phone.,6.0,21,True,2021-07-05 10:18:40.000000,0.4.126,103.0,labml,,,,,28.0,28.0,https://pypi.org/project/labml,2021-07-05 10:18:40.000000,0.0,1209.0,1209.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n581,Feature Engine,solegalli/feature_engine,,others,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2018-12-31 01:47:18.000000,2021-07-06 14:07:25.000000,2021-07-04 09:31:13.000000,156,29.0,92.0,580.0,122.0,Feature engineering package with sklearn like functionality.,23.0,21,True,2021-06-22 09:56:39.000000,1.1.0,26.0,feature_engine,conda-forge/feature_engine,,,,2.0,,https://pypi.org/project/feature_engine,2021-06-22 08:04:44.000000,2.0,28820.0,29149.0,https://anaconda.org/conda-forge/feature_engine,2021-06-22 09:58:00.823000,3623.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n582,explainerdashboard,oegedijk/explainerdashboard,,interpretability,https://github.com/oegedijk/explainerdashboard,https://github.com/oegedijk/explainerdashboard,MIT,2019-10-30 08:26:16.000000,2021-07-08 15:22:55.000000,2021-07-08 15:22:51.000000,72,9.0,98.0,574.0,1212.0,Quickly build Explainable AI dashboards that show the inner workings of so-called blackbox machine learning models.,12.0,21,True,2021-07-08 14:22:49.000000,0.3.6.2,77.0,explainerdashboard,,,,,28.0,28.0,https://pypi.org/project/explainerdashboard,2021-07-08 14:24:19.000000,,6142.0,6142.0,,,,,,,,3.0,,,-1.0,,,,,,,,,,,,,,,,,,\n583,pickleDB,patx/pickledb,,data-containers,https://github.com/patx/pickledb,https://github.com/patx/pickledb,BSD-3-Clause,2011-10-28 00:04:40.000000,2021-03-23 21:52:22.000000,2019-11-15 03:38:30.000000,98,22.0,39.0,569.0,105.0,pickleDB is an open source key-value store using Python's json module.,11.0,21,False,2019-01-14 18:48:25.000000,0.9.2,20.0,pickledb,,,,,754.0,642.0,https://pypi.org/project/pickledb,2019-01-14 18:48:25.000000,112.0,17915.0,17915.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n584,combo,yzhao062/combo,,sklearn-utils,https://github.com/yzhao062/combo,https://github.com/yzhao062/combo,BSD-2-Clause,2019-07-14 01:13:36.000000,2021-03-29 00:05:33.000000,2021-03-15 01:39:54.000000,85,9.0,3.0,503.0,202.0,(AAAI' 20) A Python Toolbox for Machine Learning Model Combination.,1.0,21,True,2020-12-23 02:21:49.000000,0.1.2,12.0,combo,,,,\"['sklearn', 'xgboost']\",367.0,367.0,https://pypi.org/project/combo,2020-12-23 02:21:49.000000,0.0,57221.0,57221.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n585,nnAudio,KinWaiCheuk/nnAudio,,audio,https://github.com/KinWaiCheuk/nnAudio,https://github.com/KinWaiCheuk/nnAudio,MIT,2019-09-02 04:31:14.000000,2021-06-29 14:21:06.000000,2021-06-29 14:21:05.000000,49,9.0,31.0,494.0,257.0,Audio processing by using pytorch 1D convolution network.,11.0,21,True,2021-06-11 06:57:25.000000,0.2.4,34.0,nnAudio,,,,,16.0,16.0,https://pypi.org/project/nnAudio,2021-06-11 06:57:25.000000,,2998.0,2998.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n586,random-forest-importances,parrt/random-forest-importances,,interpretability,https://github.com/parrt/random-forest-importances,https://github.com/parrt/random-forest-importances,MIT,2018-03-22 19:20:13.000000,2021-01-30 21:50:08.000000,2021-01-30 21:50:02.000000,99,4.0,27.0,454.0,249.0,Code to compute permutation and drop-column importances in Python scikit-learn models.,14.0,21,True,2021-01-28 23:23:17.000000,1.3.7,22.0,rfpimp,,,,['sklearn'],76.0,72.0,https://pypi.org/project/rfpimp,2021-01-28 23:19:33.000000,4.0,18166.0,18166.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n587,pivottablejs,nicolaskruchten/jupyter_pivottablejs,,data-viz,https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,MIT,2015-09-09 13:39:18.000000,2018-12-04 14:43:26.000000,2018-12-04 14:43:25.000000,59,16.0,37.0,439.0,32.0,\"Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js.\",3.0,21,False,2018-01-15 18:14:37.000000,0.9.0,10.0,pivottablejs,,,,['jupyter'],208.0,174.0,https://pypi.org/project/pivottablejs,2018-01-15 18:14:37.000000,34.0,14137.0,14137.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n588,FiftyOne,voxel51/fiftyone,,data-viz,https://github.com/voxel51/fiftyone,https://github.com/voxel51/fiftyone,Apache-2.0,2020-04-22 13:43:28.000000,2021-07-08 14:33:31.000000,2021-07-07 20:00:39.000000,37,137.0,302.0,436.0,5467.0,\"Visualize, create, and debug image and video datasets and model predictions.\",12.0,21,True,2021-06-29 17:50:39.000000,0.11.1,55.0,fiftyone,,,,\"['tensorflow', 'pytorch', 'jupyter']\",7.0,7.0,https://pypi.org/project/fiftyone,2021-06-29 17:50:39.000000,0.0,5479.0,5479.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n589,Neuraxle,Neuraxio/Neuraxle,,hyperopt,https://github.com/Neuraxio/Neuraxle,https://github.com/Neuraxio/Neuraxle,Apache-2.0,2019-03-26 21:01:54.000000,2021-07-05 12:27:55.000000,2021-06-29 02:42:45.000000,48,147.0,160.0,426.0,1547.0,A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right..,7.0,21,True,2021-06-29 01:10:09.000000,0.6.0,21.0,neuraxle,,,,,21.0,21.0,https://pypi.org/project/neuraxle,2021-06-29 00:24:34.000000,0.0,377.0,377.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n590,Submit it,facebookincubator/submitit,,distributed-ml,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09.000000,2021-07-08 15:01:39.000000,2021-07-08 14:41:22.000000,33,22.0,25.0,421.0,69.0,Python 3.6+ toolbox for submitting jobs to Slurm.,14.0,21,True,2021-04-08 08:01:58.000000,1.3.2,13.0,submitit,conda-forge/submitit,,,,175.0,175.0,https://pypi.org/project/submitit,2021-04-08 08:01:58.000000,0.0,5457.0,5754.0,https://anaconda.org/conda-forge/submitit,2021-02-10 12:48:57.745000,3271.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n591,skope-rules,scikit-learn-contrib/skope-rules,,sklearn-utils,https://github.com/scikit-learn-contrib/skope-rules,https://github.com/scikit-learn-contrib/skope-rules,BSD-1-Clause,2018-02-18 13:42:47.000000,2021-05-12 08:25:18.000000,2020-10-23 14:31:57.000000,66,23.0,5.0,400.0,247.0,machine learning with logical rules in Python.,18.0,21,False,2020-12-11 09:37:02.000000,1.0.1,4.0,skope-rules,,,,['sklearn'],44.0,38.0,https://pypi.org/project/skope-rules,2020-01-25 12:01:37.000000,6.0,34516.0,34516.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n592,aequitas,dssg/aequitas,,interpretability,https://github.com/dssg/aequitas,https://github.com/dssg/aequitas,MIT,2018-02-13 19:40:30.000000,2021-06-18 14:22:22.000000,2021-05-27 09:45:10.000000,77,37.0,21.0,394.0,857.0,Bias and Fairness Audit Toolkit.,16.0,21,True,2020-12-16 11:48:14.000000,0.42.0,16.0,aequitas,,,,,83.0,77.0,https://pypi.org/project/aequitas,2020-12-16 11:48:14.000000,6.0,1316.0,1316.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n593,AutoViz,AutoViML/AutoViz,,data-viz,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06.000000,2021-07-01 13:34:56.000000,2021-07-01 13:32:23.000000,71,4.0,24.0,386.0,98.0,\"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..\",10.0,21,True,2021-07-01 13:34:56.000000,0.0.83,27.0,autoviz,,,,,68.0,68.0,https://pypi.org/project/autoviz,2021-07-01 13:34:56.000000,0.0,3653.0,3653.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n594,optunity,claesenm/optunity,,hyperopt,https://github.com/claesenm/optunity,https://github.com/claesenm/optunity,BSD-3-Clause,2014-05-28 17:29:11.000000,2020-05-11 14:32:39.000000,2020-05-11 14:32:38.000000,73,47.0,48.0,371.0,782.0,optimization routines for hyperparameter tuning.,9.0,21,False,2015-09-30 05:02:00.000000,1.1.1,6.0,optunity,,,,,85.0,61.0,https://pypi.org/project/optunity,2015-09-30 05:02:00.000000,24.0,14734.0,14734.0,,,,,,,,3.0,65.0,,,,,,,,,,,,,,,,,,,,\n595,Pandas Summary,mouradmourafiq/pandas-summary,,data-containers,https://github.com/mouradmourafiq/pandas-summary,https://github.com/mouradmourafiq/pandas-summary,MIT,2016-03-25 21:59:32.000000,2019-08-24 21:10:25.000000,2019-08-24 21:10:24.000000,35,8.0,5.0,365.0,24.0,An extension to pandas dataframes describe function.,6.0,21,False,2016-08-30 07:54:59.000000,0.0.41,8.0,pandas-summary,,,,['pandas'],722.0,632.0,https://pypi.org/project/pandas-summary,2016-08-30 07:54:59.000000,90.0,30604.0,30604.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n596,MedPy,loli/medpy,,medical-data,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34.000000,2020-05-01 15:25:39.000000,2020-05-01 15:25:38.000000,111,12.0,67.0,354.0,324.0,Medical image processing in Python.,13.0,21,False,2019-02-14 17:12:59.000000,0.4.0,6.0,MedPy,,,,,350.0,320.0,https://pypi.org/project/MedPy,2019-02-14 17:12:59.000000,30.0,8429.0,8429.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n597,joypy,leotac/joypy,,data-viz,https://github.com/leotac/joypy,https://github.com/leotac/joypy,MIT,2017-07-30 17:18:50.000000,2021-06-13 10:07:53.000000,2021-06-13 10:07:43.000000,35,6.0,36.0,336.0,111.0,Joyplots in Python with matplotlib & pandas.,5.0,21,True,2020-12-28 11:54:36.000000,0.2.4,16.0,joypy,conda-forge/joypy,,,,93.0,87.0,https://pypi.org/project/joypy,2020-12-28 11:54:36.000000,6.0,40054.0,40412.0,https://anaconda.org/conda-forge/joypy,2020-12-28 14:07:53.760000,10046.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n598,ploomber,ploomber/ploomber,,data-pipelines,https://github.com/ploomber/ploomber,https://github.com/ploomber/ploomber,Apache-2.0,2020-01-20 20:13:06.000000,2021-06-26 01:26:44.000000,2021-06-26 01:03:43.000000,9,47.0,257.0,314.0,1888.0,\"Lean Data Science workflows: develop and test locally. Deploy to Kubernetes, AWS Batch, or Airflow.\",6.0,21,True,2021-06-09 02:00:25.000000,0.11.1,45.0,ploomber,,,,,13.0,13.0,https://pypi.org/project/ploomber,2021-06-09 02:00:25.000000,0.0,2902.0,2902.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n599,sklearn-evaluation,edublancas/sklearn-evaluation,,interpretability,https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2015-09-04 16:33:42.000000,2021-06-26 14:01:25.000000,2021-06-26 13:55:47.000000,28,8.0,29.0,310.0,522.0,\"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook..\",6.0,21,True,2021-06-26 14:03:00.000000,0.5.6,18.0,sklearn-evaluation,,,,['sklearn'],31.0,29.0,https://pypi.org/project/sklearn-evaluation,2021-06-26 14:01:25.000000,2.0,1287.0,1287.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n600,Auto ViML,AutoViML/Auto_ViML,,hyperopt,https://github.com/AutoViML/Auto_ViML,https://github.com/AutoViML/Auto_ViML,Apache-2.0,2019-06-10 13:09:15.000000,2021-05-17 02:25:55.000000,2021-05-17 02:24:37.000000,59,4.0,14.0,273.0,291.0,Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome...,6.0,21,False,2021-04-15 00:54:35.000000,0.1.681,131.0,autoviml,,,,,13.0,13.0,https://pypi.org/project/autoviml,2021-05-17 02:25:55.000000,0.0,1516.0,1516.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n601,Hyperactive,SimonBlanke/Hyperactive,,hyperopt,https://github.com/SimonBlanke/Hyperactive,https://github.com/SimonBlanke/Hyperactive,MIT,2018-11-01 08:53:30.000000,2021-07-07 12:40:57.000000,2021-07-07 12:23:00.000000,24,3.0,23.0,261.0,1914.0,A hyperparameter optimization and data collection toolbox for convenient and fast prototyping of machine-learning..,3.0,21,False,2021-07-07 12:40:57.000000,3.2.4,56.0,hyperactive,,,,,9.0,9.0,https://pypi.org/project/hyperactive,2021-07-02 12:19:28.000000,0.0,1642.0,1644.0,,,,,,,,3.0,74.0,,,,,,,,,,,,,,,,,,,,\n602,StaticFrame,InvestmentSystems/static-frame,,data-containers,https://github.com/InvestmentSystems/static-frame,https://github.com/InvestmentSystems/static-frame,MIT,2018-01-03 15:07:52.000000,2021-07-08 05:08:21.000000,2021-07-08 05:08:24.000000,22,34.0,276.0,231.0,2651.0,Immutable and grow-only Pandas-like DataFrames with a more explicit and consistent interface.,16.0,21,False,2021-06-14 19:18:02.000000,0.8.14,113.0,static-frame,conda-forge/static-frame,,,,9.0,9.0,https://pypi.org/project/static-frame,2021-06-14 19:15:57.000000,0.0,1367.0,4652.0,https://anaconda.org/conda-forge/static-frame,2021-06-14 20:52:49.304000,95284.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n603,scikit-posthocs,maximtrp/scikit-posthocs,,probabilistics,https://github.com/maximtrp/scikit-posthocs,https://github.com/maximtrp/scikit-posthocs,MIT,2017-06-22 19:41:37.000000,2021-06-12 08:46:35.000000,2021-06-12 08:46:25.000000,23,4.0,37.0,212.0,458.0,Multiple Pairwise Comparisons (Post Hoc) Tests in Python.,8.0,21,False,2021-03-17 06:05:28.000000,0.6.7,21.0,scikit-posthocs,,,,['sklearn'],6.0,,https://pypi.org/project/scikit-posthocs,2021-03-15 16:05:51.000000,6.0,35251.0,35251.0,,,,,,,,3.0,19.0,,,,,,,,,,,,,,,,,,,,\n604,cuDF,rapidsai/cudf,,gpu-utilities,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000000,2021-07-08 14:54:35.000000,2021-07-08 14:47:37.000000,529,597.0,3224.0,4032.0,,cuDF - GPU DataFrame Library.,217.0,20,True,2021-06-17 15:12:32.000000,21.06.01,12.0,cudf,,,,,4.0,,https://pypi.org/project/cudf,2020-06-01 20:07:47.000000,4.0,1019.0,1019.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n605,MindsDB,mindsdb/mindsdb,,ml-frameworks,https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,GPL-3.0,2018-08-02 17:56:45.000000,2021-07-08 12:34:46.000000,2021-07-02 10:51:25.000000,442,61.0,541.0,3788.0,,Predictive AI layer for existing databases.,56.0,20,False,2021-07-02 11:14:18.000000,2.39.0,55.0,mindsdb,,,,['pytorch'],6.0,,https://pypi.org/project/mindsdb,2019-03-19 05:07:23.000000,6.0,4035.0,4035.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n606,FATE,FederatedAI/FATE,,privacy-ml,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000000,2021-07-08 11:37:40.000000,2021-07-07 03:54:33.000000,922,323.0,594.0,3228.0,7611.0,An Industrial Grade Federated Learning Framework.,58.0,20,True,2021-03-31 14:56:10.000000,1.6.0,26.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n607,NLP Architect,IntelLabs/nlp-architect,,nlp,https://github.com/IntelLabs/nlp-architect,https://github.com/IntelLabs/nlp-architect,Apache-2.0,2018-05-17 21:00:13.000000,2021-06-10 23:23:07.000000,2021-04-13 08:02:56.000000,404,16.0,110.0,2696.0,953.0,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,36.0,20,True,2020-11-17 12:32:37.000000,0.5.5.1,13.0,nlp-architect,,,,,8.0,8.0,https://pypi.org/project/nlp-architect,2020-04-12 11:34:38.000000,,488.0,488.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n608,tf-quant-finance,google/tf-quant-finance,,financial-data,https://github.com/google/tf-quant-finance,https://github.com/google/tf-quant-finance,Apache-2.0,2019-07-24 16:09:50.000000,2021-07-08 13:10:42.000000,2021-07-08 13:10:35.000000,347,14.0,15.0,2696.0,741.0,High-performance TensorFlow library for quantitative finance.,33.0,20,True,,,22.0,tf-quant-finance,,,,['tensorflow'],7.0,7.0,https://pypi.org/project/tf-quant-finance,2021-04-13 13:30:21.000000,0.0,291.0,291.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n609,dpark,douban/dpark,,data-pipelines,https://github.com/douban/dpark,https://github.com/douban/dpark,BSD-3-Clause,2012-04-11 08:35:06.000000,2020-12-25 10:36:06.000000,2020-12-25 10:36:05.000000,554,,60.0,2660.0,1467.0,\"Python clone of Spark, a MapReduce alike framework in Python.\",35.0,20,True,2018-07-27 04:11:36.000000,0.5.0,19.0,dpark,,,,['spark'],4.0,3.0,https://pypi.org/project/dpark,2018-07-27 04:11:36.000000,1.0,79.0,79.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n610,finmarketpy,cuemacro/finmarketpy,,financial-data,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03.000000,2021-06-29 12:18:31.000000,2021-06-29 12:18:26.000000,438,23.0,3.0,2602.0,674.0,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,14.0,20,True,2021-06-01 16:13:24.000000,0.11.9,10.0,finmarketpy,,,,,3.0,3.0,https://pypi.org/project/finmarketpy,2021-06-01 16:13:24.000000,,144.0,144.0,,,,,,,,3.0,39.0,,,,,,,,,,,,,,,,,,,,\n611,DeepVariant,google/deepvariant,,medical-data,https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000000,2021-06-29 20:07:40.000000,2021-03-31 18:23:13.000000,551,6.0,417.0,2292.0,1503.0,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,19.0,20,True,2020-12-07 17:56:31.000000,1.1.0,15.0,,bioconda/deepvariant,,,['tensorflow'],,,,,,,817.0,https://anaconda.org/bioconda/deepvariant,2021-04-30 21:23:18.277000,31075.0,,,,,3.0,3374.0,,,,,,,,,,,,,,,,,,,,\n612,DeepWalk,phanein/deepwalk,,graph,https://github.com/phanein/deepwalk,https://github.com/phanein/deepwalk,GPL-3.0,2014-08-23 03:38:20.000000,2020-04-02 01:05:36.000000,2020-04-02 01:05:35.000000,761,29.0,80.0,2267.0,46.0,DeepWalk - Deep Learning for Graphs.,10.0,20,False,2018-04-29 21:05:18.000000,1.0.3,4.0,deepwalk,,,,,48.0,41.0,https://pypi.org/project/deepwalk,2018-04-29 21:05:18.000000,7.0,3429.0,3429.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n613,Kashgari,BrikerMan/Kashgari,,nlp,https://github.com/BrikerMan/Kashgari,https://github.com/BrikerMan/Kashgari,Apache-2.0,2019-01-19 01:53:28.000000,2021-07-04 10:51:38.000000,2021-07-04 10:44:13.000000,409,32.0,318.0,2141.0,,Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-..,21.0,20,True,2021-07-04 10:44:36.000000,2.0.2,24.0,kashgari-tf,,,,['tensorflow'],40.0,38.0,https://pypi.org/project/kashgari-tf,2019-10-18 07:57:55.000000,2.0,134.0,134.0,,,,,,,,3.0,,,2.0,,,,,,,,,,,,,,,,,,\n614,HiPlot,facebookresearch/hiplot,,data-viz,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41.000000,2021-06-14 09:03:55.000000,2021-06-14 08:52:16.000000,98,9.0,56.0,2136.0,146.0,HiPlot makes understanding high dimensional data easy.,6.0,20,True,2021-06-11 10:48:14.000000,0.1.25,68.0,hiplot,conda-forge/hiplot,,,,2.0,2.0,https://pypi.org/project/hiplot,2021-06-14 09:03:55.000000,0.0,8181.0,11583.0,https://anaconda.org/conda-forge/hiplot,2021-06-11 12:15:07.547000,57839.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n615,Coach,IntelLabs/coach,,reinforcement-learning,https://github.com/IntelLabs/coach,https://github.com/IntelLabs/coach,Apache-2.0,2017-10-01 19:27:43.000000,2021-06-28 07:40:53.000000,2021-06-28 07:40:53.000000,392,86.0,183.0,2004.0,521.0,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,34.0,20,True,2019-10-10 14:17:10.000000,1.0.1,13.0,rl_coach,,,,,2.0,,https://pypi.org/project/rl_coach,2019-10-10 14:17:10.000000,2.0,306.0,306.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n616,fast-bert,utterworks/fast-bert,,nlp,https://github.com/utterworks/fast-bert,https://github.com/utterworks/fast-bert,Apache-2.0,2019-04-18 22:01:20.000000,2021-07-07 09:00:43.000000,2021-07-07 09:00:43.000000,321,146.0,93.0,1602.0,,Super easy library for BERT based NLP models.,35.0,20,True,2021-05-23 14:35:28.000000,1.9.9,43.0,fast-bert,,,,,2.0,,https://pypi.org/project/fast-bert,2021-05-23 14:35:28.000000,2.0,2057.0,2057.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n617,auto_ml,ClimbsRocks/auto_ml,,hyperopt,https://github.com/ClimbsRocks/auto_ml,https://github.com/ClimbsRocks/auto_ml,MIT,2016-08-07 21:35:08.000000,2021-02-10 07:52:35.000000,2018-03-25 19:46:25.000000,295,185.0,216.0,1541.0,1149.0,[UNMAINTAINED] Automated machine learning for analytics & production.,13.0,20,False,2018-02-22 01:13:03.000000,2.9.10,78.0,auto_ml,,,,,2.0,,https://pypi.org/project/auto_ml,2018-02-22 01:13:03.000000,2.0,3022.0,3022.0,,,,,,,,3.0,33.0,,,,,,,,,,,,,,,,,,,,\n618,DELTA,Delta-ML/delta,,nlp,https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57.000000,2021-07-07 14:40:36.551877,2020-12-17 06:57:15.000000,292,5.0,70.0,1428.0,932.0,DELTA is a deep learning based natural language and speech processing platform.,41.0,20,True,2020-07-16 09:31:45.000000,0.3.3,4.0,delta-nlp,,zh794390558/delta,,['tensorflow'],,,https://pypi.org/project/delta-nlp,2020-03-27 04:46:19.000000,,21.0,518.0,,,,https://hub.docker.com/r/zh794390558/delta,2021-07-07 14:40:36.551877,,12933.0,3.0,,,,,,,,,,,,,,,,,,,,,\n619,DLTK,DLTK/DLTK,,medical-data,https://github.com/DLTK/DLTK,https://github.com/DLTK/DLTK,Apache-2.0,2017-05-02 15:40:36.000000,2021-01-15 01:31:30.000000,2019-01-21 14:01:28.000000,387,11.0,24.0,1265.0,379.0,Deep Learning Toolkit for Medical Image Analysis.,9.0,20,False,2018-02-26 17:43:57.000000,0.2.1,5.0,dltk,,,,['tensorflow'],20.0,20.0,https://pypi.org/project/dltk,2018-02-26 17:43:57.000000,,215.0,215.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n620,lightly,lightly-ai/lightly,,image,https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000000,2021-07-08 13:33:29.000000,2021-07-08 13:33:28.000000,60,46.0,148.0,1051.0,478.0,A python library for self-supervised learning on images.,11.0,20,True,2021-07-08 09:18:20.000000,1.1.15,27.0,lightly,,,,['pytorch'],15.0,15.0,https://pypi.org/project/lightly,2021-07-08 09:21:37.000000,0.0,994.0,994.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n621,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,,pytorch-utils,https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000000,2021-07-08 11:27:20.000000,2021-07-08 11:27:16.000000,75,3.0,16.0,1045.0,675.0,PyTorch extensions for fast R&D prototyping and Kaggle farming.,5.0,20,True,2021-04-02 10:59:33.000000,0.4.3,21.0,pytorch_toolbelt,,,,['pytorch'],2.0,,https://pypi.org/project/pytorch_toolbelt,2021-04-02 10:59:33.000000,2.0,10317.0,10317.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n622,Sockeye,awslabs/sockeye,,nlp,https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30.000000,2021-07-07 21:44:38.000000,2021-05-30 20:04:06.000000,295,20.0,228.0,1010.0,750.0,Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet.,52.0,20,True,2021-06-17 10:51:22.000000,2.3.17,64.0,sockeye,,,,['mxnet'],2.0,,https://pypi.org/project/sockeye,2021-06-17 10:51:22.000000,2.0,569.0,569.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n623,TensorNets,taehoonlee/tensornets,,tensorflow-utils,https://github.com/taehoonlee/tensornets,https://github.com/taehoonlee/tensornets,MIT,2017-09-19 05:19:01.000000,2021-01-02 06:28:10.000000,2021-01-02 06:26:24.000000,184,14.0,42.0,989.0,284.0,High level network definitions with pre-trained weights in TensorFlow.,6.0,20,True,2020-03-31 04:38:27.000000,0.4.6,12.0,tensornets,,,,['tensorflow'],43.0,39.0,https://pypi.org/project/tensornets,2020-03-31 04:35:15.000000,4.0,214.0,214.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n624,pyts,johannfaouzi/pyts,,time-series-data,https://github.com/johannfaouzi/pyts,https://github.com/johannfaouzi/pyts,BSD-3-Clause,2017-07-31 09:23:16.000000,2021-05-26 11:15:05.000000,2021-05-26 11:15:03.000000,104,28.0,19.0,986.0,,A Python package for time series classification.,9.0,20,True,2020-03-21 12:41:33.000000,0.11.0,17.0,pyts,conda-forge/pyts,,,,132.0,128.0,https://pypi.org/project/pyts,2020-03-21 12:36:40.000000,4.0,17920.0,18263.0,https://anaconda.org/conda-forge/pyts,2020-03-21 14:08:24.734000,7910.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n625,fairlearn,fairlearn/fairlearn,,interpretability,https://github.com/fairlearn/fairlearn,https://github.com/fairlearn/fairlearn,MIT,2018-05-15 01:51:35.000000,2021-07-08 15:09:02.000000,2021-07-07 06:02:23.000000,229,129.0,154.0,978.0,,A Python package to assess and improve fairness of machine learning models.,46.0,20,True,2021-07-07 08:16:09.000000,0.7.0,16.0,fairlearn,conda-forge/fairlearn,,,['sklearn'],2.0,,https://pypi.org/project/fairlearn,2021-07-07 05:54:23.000000,2.0,17794.0,18573.0,https://anaconda.org/conda-forge/fairlearn,2021-07-07 15:56:16.605000,13243.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n626,fastFM,ibayer/fastFM,,recommender-systems,https://github.com/ibayer/fastFM,https://github.com/ibayer/fastFM,BSD-3-Clause,2014-10-27 12:25:51.000000,2021-03-24 12:22:31.000000,2021-03-24 12:22:31.000000,186,44.0,59.0,923.0,297.0,fastFM: A Library for Factorization Machines.,20.0,20,True,2017-11-23 06:59:56.000000,0.2.11,10.0,fastfm,,,,,90.0,82.0,https://pypi.org/project/fastfm,2017-11-23 06:59:56.000000,8.0,640.0,645.0,,,,,,,,3.0,388.0,,,,,,,,,,,,,,,,,,,,\n627,advertorch,BorealisAI/advertorch,,adversarial,https://github.com/BorealisAI/advertorch,https://github.com/BorealisAI/advertorch,GPL-3.0,2018-11-29 22:17:33.000000,2021-07-02 22:54:44.000000,2020-06-15 01:16:18.000000,139,15.0,30.0,887.0,270.0,A Toolbox for Adversarial Robustness Research.,16.0,20,False,2020-06-15 01:20:07.000000,0.2.3,10.0,advertorch,,,,['pytorch'],50.0,44.0,https://pypi.org/project/advertorch,2020-06-15 01:20:07.000000,6.0,1322.0,1322.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n628,DALEX,ModelOriented/DALEX,,interpretability,https://github.com/ModelOriented/DALEX,https://github.com/ModelOriented/DALEX,GPL-3.0,2018-02-18 03:24:12.000000,2021-06-09 17:13:55.000000,2021-06-09 17:13:52.000000,116,13.0,282.0,855.0,565.0,moDel Agnostic Language for Exploration and eXplanation.,19.0,20,False,2021-05-31 21:17:29.000000,1.2.0,20.0,dalex,,,,,17.0,17.0,https://pypi.org/project/dalex,2021-05-31 21:17:29.000000,0.0,6698.0,6698.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n629,mrq,pricingassistant/mrq,,data-pipelines,https://github.com/pricingassistant/mrq,https://github.com/pricingassistant/mrq,MIT,2014-02-13 09:32:40.000000,2021-05-19 17:32:27.000000,2020-12-13 18:58:15.000000,113,59.0,119.0,844.0,709.0,Mr. Queue - A distributed worker task queue in Python using Redis & gevent.,37.0,20,True,2018-08-31 16:03:04.000000,0.9.10,70.0,mrq,,,,,35.0,23.0,https://pypi.org/project/mrq,2018-08-31 16:03:04.000000,12.0,458.0,458.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n630,nude.py,hhatto/nude.py,,image,https://github.com/hhatto/nude.py,https://github.com/hhatto/nude.py,MIT,2013-06-09 06:55:55.000000,2020-11-23 13:49:32.000000,2020-11-23 13:49:02.000000,132,7.0,2.0,803.0,79.0,Nudity detection with Python.,12.0,20,True,2020-11-23 13:49:17.000000,0.5.1,10.0,nudepy,,,,,486.0,468.0,https://pypi.org/project/nudepy,2020-11-23 13:49:17.000000,18.0,3154.0,3154.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n631,TensorFrames,databricks/tensorframes,,distributed-ml,https://github.com/databricks/tensorframes,https://github.com/databricks/tensorframes,Apache-2.0,2016-03-04 19:25:19.000000,2021-05-21 14:50:19.000000,2019-11-15 21:43:53.000000,156,51.0,43.0,764.0,221.0,[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark.,16.0,20,False,2018-11-16 20:50:02.000000,0.6.0,6.0,tensorframes,,,,\"['tensorflow', 'spark']\",1.0,,https://pypi.org/project/tensorframes,2018-05-16 14:20:28.000000,1.0,15914.0,15914.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n632,AstroML,astroML/astroML,,others,https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50.000000,2021-06-30 15:57:42.000000,2021-04-07 06:12:17.000000,271,53.0,84.0,758.0,,\"Machine learning, statistics, and data mining for astronomy and astrophysics.\",30.0,20,True,2019-10-02 06:32:58.000000,0.4.1,10.0,astroML,conda-forge/astroml,,,['sklearn'],29.0,,https://pypi.org/project/astroML,2020-03-23 23:20:49.000000,29.0,1361.0,1877.0,https://anaconda.org/conda-forge/astroml,2020-02-16 04:18:54.678000,24286.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n633,NGT,yahoojapan/NGT,,nn-search,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000000,2021-05-27 04:06:08.000000,2021-05-27 04:05:36.000000,74,7.0,74.0,757.0,130.0,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,11.0,20,True,2021-03-12 02:52:55.000000,1.13.5,49.0,ngt,,,,,6.0,,https://pypi.org/project/ngt,2020-09-23 06:52:45.000000,6.0,11469.0,11469.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n634,YouTokenToMe,vkcom/youtokentome,,nlp,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28.000000,2021-01-28 23:05:01.000000,2021-01-28 19:04:09.000000,48,24.0,22.0,751.0,79.0,Unsupervised text tokenizer focused on computational efficiency.,6.0,20,True,2020-02-13 09:57:47.000000,1.0.6,14.0,youtokentome,,,,,145.0,133.0,https://pypi.org/project/youtokentome,2020-02-12 18:24:46.000000,12.0,16432.0,16432.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n635,Saliency,PAIR-code/saliency,,tensorflow-utils,https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35.000000,2021-06-22 15:29:23.000000,2021-06-21 14:03:32.000000,156,17.0,12.0,687.0,77.0,\"Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).\",14.0,20,True,2021-05-03 16:33:29.000000,0.1.3,10.0,saliency,,,,['tensorflow'],18.0,16.0,https://pypi.org/project/saliency,2021-05-03 16:33:29.000000,2.0,914.0,914.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n636,NearPy,pixelogik/NearPy,,nn-search,https://github.com/pixelogik/NearPy,https://github.com/pixelogik/NearPy,MIT,2013-04-25 09:10:26.000000,2020-02-17 20:24:08.000000,2018-10-21 17:54:28.000000,140,24.0,38.0,681.0,159.0,\"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..\",18.0,20,False,2016-09-27 13:04:44.000000,1.0.0,8.0,NearPy,,,,,69.0,53.0,https://pypi.org/project/NearPy,2016-09-27 13:03:12.000000,16.0,3174.0,3174.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n637,finetune,IndicoDataSolutions/finetune,,nlp,https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16.000000,2021-06-28 13:17:04.000000,2021-06-15 17:49:52.000000,68,21.0,115.0,646.0,1201.0,Scikit-learn style model finetuning for NLP.,19.0,20,True,2020-01-10 22:42:24.000000,0.8.6,37.0,finetune,,,,\"['tensorflow', 'sklearn']\",11.0,9.0,https://pypi.org/project/finetune,2020-01-10 22:42:24.000000,2.0,186.0,186.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n638,PFRL,pfnet/pfrl,,reinforcement-learning,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50.000000,2021-07-07 02:48:20.000000,2021-07-07 02:39:27.000000,81,22.0,29.0,646.0,382.0,PFRL: a PyTorch-based deep reinforcement learning library.,14.0,20,True,2021-07-07 02:43:23.000000,0.3.0,5.0,pfrl,,,,,15.0,15.0,https://pypi.org/project/pfrl,2021-07-07 02:48:20.000000,0.0,741.0,741.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n639,bambi,bambinos/bambi,,probabilistics,https://github.com/bambinos/bambi,https://github.com/bambinos/bambi,MIT,2016-05-16 03:21:00.000000,2021-07-07 13:42:09.000000,2021-06-15 13:31:58.000000,55,34.0,147.0,630.0,571.0,BAyesian Model-Building Interface (Bambi) in Python.,17.0,20,True,2021-05-16 23:07:43.000000,0.5.0,13.0,bambi,,,,,16.0,13.0,https://pypi.org/project/bambi,2021-05-16 23:07:43.000000,3.0,640.0,640.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n640,Objax,google/objax,,ml-frameworks,https://github.com/google/objax,https://github.com/google/objax,Apache-2.0,2020-08-20 06:20:40.000000,2021-06-16 14:14:50.000000,2021-04-21 22:04:16.000000,50,40.0,53.0,622.0,411.0,Objax is a machine learning framework that provides an Object Oriented layer for JAX.,20.0,20,True,2021-04-01 00:14:18.000000,1.4.0,7.0,objax,,,,['jax'],13.0,13.0,https://pypi.org/project/objax,2021-04-01 00:02:37.000000,0.0,780.0,780.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n641,DiCE,interpretml/DiCE,,interpretability,https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000000,2021-07-08 13:25:06.000000,2021-07-06 16:13:05.000000,78,26.0,37.0,580.0,400.0,Generate Diverse Counterfactual Explanations for any machine learning model.,11.0,20,True,2021-05-10 16:05:55.000000,0.6.1,5.0,dice-ml,,,,\"['tensorflow', 'pytorch']\",0.0,,https://pypi.org/project/dice-ml,2021-05-10 16:05:55.000000,0.0,11207.0,11207.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n642,Orbit,uber/orbit,,probabilistics,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000000,2021-06-25 00:22:13.000000,2021-06-24 05:10:14.000000,39,19.0,189.0,579.0,619.0,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,10.0,20,True,2021-04-03 01:15:52.000000,1.0.13,12.0,orbit-ml,,,,,4.0,4.0,https://pypi.org/project/orbit-ml,2021-04-03 01:15:52.000000,,5242.0,5242.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n643,scikit-lego,koaning/scikit-lego,,sklearn-utils,https://github.com/koaning/scikit-lego,https://github.com/koaning/scikit-lego,MIT,2019-01-21 15:30:15.000000,2021-07-03 14:39:23.330000,2021-07-03 12:36:19.000000,74,25.0,198.0,540.0,,Extra blocks for scikit-learn pipelines.,47.0,20,True,2021-07-03 12:36:43.000000,0.6.8,34.0,scikit-lego,conda-forge/scikit-lego,,,['sklearn'],28.0,28.0,https://pypi.org/project/scikit-lego,2021-07-03 12:38:43.000000,0.0,5042.0,5622.0,https://anaconda.org/conda-forge/scikit-lego,2021-07-03 14:39:23.330000,12185.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n644,Caer,jasmcaus/caer,,image,https://github.com/jasmcaus/caer,https://github.com/jasmcaus/caer,MIT,2020-08-06 18:36:14.000000,2021-06-23 00:43:23.000000,2021-05-29 03:10:28.000000,83,3.0,10.0,511.0,4941.0,\"A lightweight Computer Vision library. Scale your models, not boilerplate.\",6.0,20,True,2021-01-28 14:06:10.000000,1.9.8,109.0,caer,,,https://caer.rtfd.io,,0.0,,https://pypi.org/project/caer,2021-01-28 14:06:10.000000,0.0,8567.0,8568.0,,,,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,,,\n645,pyhsmm,mattjj/pyhsmm,,probabilistics,https://github.com/mattjj/pyhsmm,https://github.com/mattjj/pyhsmm,MIT,2012-03-18 17:40:13.000000,2020-09-29 20:58:26.000000,2020-08-24 17:03:59.000000,159,39.0,60.0,492.0,1426.0,Bayesian inference in HSMMs and HMMs.,13.0,20,True,2017-05-10 17:14:37.000000,0.1.7,8.0,pyhsmm,,,,,28.0,20.0,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37.000000,8.0,203.0,203.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n646,Poutyne,GRAAL-Research/poutyne,,pytorch-utils,https://github.com/GRAAL-Research/poutyne,https://github.com/GRAAL-Research/poutyne,LGPL-3.0,2017-12-07 18:30:17.000000,2021-07-06 21:13:03.000000,2021-06-09 17:53:33.000000,51,7.0,38.0,481.0,571.0,A simplified framework and utilities for PyTorch.,16.0,20,False,2021-05-22 14:42:18.000000,1.5,22.0,poutyne,,,,['pytorch'],64.0,60.0,https://pypi.org/project/poutyne,2021-05-22 14:42:36.000000,4.0,8080.0,8080.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n647,HpBandSter,automl/HpBandSter,,hyperopt,https://github.com/automl/HpBandSter,https://github.com/automl/HpBandSter,BSD-3-Clause,2017-12-17 20:28:20.000000,2021-01-31 10:05:37.000000,2019-03-26 09:26:28.000000,101,57.0,35.0,477.0,187.0,a distributed Hyperband implementation on Steroids.,11.0,20,False,2019-07-30 12:47:43.000000,1.0,8.0,hpbandster,,,,,165.0,149.0,https://pypi.org/project/hpbandster,2018-11-06 12:56:55.000000,16.0,23688.0,23688.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n648,N2,kakao/n2,,nn-search,https://github.com/kakao/n2,https://github.com/kakao/n2,Apache-2.0,2017-11-23 02:27:59.000000,2021-05-20 05:41:36.000000,2021-05-20 05:39:44.000000,50,17.0,22.0,477.0,242.0,TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets.,18.0,20,True,2020-10-16 03:43:47.000000,0.1.7,9.0,n2,,,,,20.0,16.0,https://pypi.org/project/n2,2020-10-16 03:10:01.000000,4.0,2740.0,2740.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n649,PyWaffle,gyli/PyWaffle,,data-viz,https://github.com/gyli/PyWaffle,https://github.com/gyli/PyWaffle,MIT,2017-11-14 20:03:47.000000,2020-07-26 23:22:17.000000,2020-07-26 23:22:13.000000,70,2.0,10.0,432.0,249.0,Make Waffle Charts in Python.,6.0,20,True,2020-07-26 19:16:45.000000,0.6.1,22.0,pywaffle,,,,,75.0,75.0,https://pypi.org/project/pywaffle,2020-07-26 19:16:45.000000,,2073.0,2073.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n650,kale,kubeflow-kale/kale,,data-pipelines,https://github.com/kubeflow-kale/kale,https://github.com/kubeflow-kale/kale,Apache-2.0,2019-01-24 17:58:44.000000,2021-06-17 00:46:20.000000,2021-05-19 12:47:47.000000,74,83.0,61.0,398.0,641.0,Kubeflows superfood for Data Scientists.,10.0,20,True,2021-05-19 12:56:53.000000,0.7.0,15.0,kubeflow-kale,,,,['jupyter'],9.0,9.0,https://pypi.org/project/kubeflow-kale,2021-05-19 12:56:53.000000,,1567.0,1567.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n651,pydlm,wwrechard/pydlm,,time-series-data,https://github.com/wwrechard/pydlm,https://github.com/wwrechard/pydlm,BSD-3-Clause,2016-06-29 07:58:53.000000,2021-02-24 14:21:28.000000,2019-10-22 07:18:40.000000,86,35.0,8.0,396.0,362.0,A python library for Bayesian time series modeling.,6.0,20,False,2016-11-06 01:43:35.000000,0.1.1,13.0,pydlm,,,,,23.0,21.0,https://pypi.org/project/pydlm,2018-12-19 10:27:54.000000,2.0,22599.0,22599.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n652,DESlib,scikit-learn-contrib/DESlib,,sklearn-utils,https://github.com/scikit-learn-contrib/DESlib,https://github.com/scikit-learn-contrib/DESlib,BSD-3-Clause,2017-12-08 22:49:49.000000,2021-04-09 04:41:52.000000,2021-04-09 04:41:45.000000,73,14.0,127.0,337.0,272.0,A Python library for dynamic classifier and ensemble selection.,13.0,20,True,2021-02-08 06:29:25.000000,0.3.5,4.0,deslib,,,,['sklearn'],21.0,21.0,https://pypi.org/project/deslib,2021-02-08 06:29:25.000000,0.0,1824.0,1824.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n653,impyute,eltonlaw/impyute,,others,https://github.com/eltonlaw/impyute,https://github.com/eltonlaw/impyute,MIT,2017-01-21 09:16:27.000000,2020-06-12 21:08:40.000000,2019-10-05 20:39:08.000000,42,27.0,36.0,279.0,289.0,Data imputations library to preprocess datasets with missing data.,10.0,20,False,2019-04-29 02:31:32.000000,0.0.8,8.0,impyute,,,,,105.0,101.0,https://pypi.org/project/impyute,2019-04-29 02:31:32.000000,4.0,1912.0,1912.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n654,SUOD,yzhao062/SUOD,,others,https://github.com/yzhao062/SUOD,https://github.com/yzhao062/SUOD,BSD-2-Clause,2019-11-20 00:23:54.000000,2021-01-19 14:42:08.000000,2021-01-19 14:42:01.000000,31,3.0,2.0,274.0,134.0,(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection).,1.0,20,False,2021-01-15 02:12:04.000000,0.0.6,7.0,suod,,,,,345.0,345.0,https://pypi.org/project/suod,2021-01-15 02:12:04.000000,,42197.0,42197.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n655,EarthPy,earthlab/earthpy,,geospatial-data,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000000,2021-07-06 18:58:31.000000,2021-07-01 19:57:43.000000,109,19.0,204.0,268.0,,A package built to support working with spatial data using open source python.,40.0,20,False,2020-06-18 23:58:08.000000,0.9.2,22.0,earthpy,conda-forge/earthpy,,,,103.0,97.0,https://pypi.org/project/earthpy,2020-06-18 23:58:08.000000,6.0,3399.0,4647.0,https://anaconda.org/conda-forge/earthpy,2020-06-19 15:23:44.425000,33720.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n656,quinn,MrPowers/quinn,,ml-experiments,https://github.com/MrPowers/quinn,https://github.com/MrPowers/quinn,Apache-2.0,2017-09-15 13:02:42.000000,2021-03-27 14:31:44.000000,2021-02-09 04:48:07.000000,29,17.0,9.0,261.0,110.0,pyspark methods to enhance developer productivity.,6.0,20,False,2021-02-06 15:21:04.000000,0.9.0,12.0,quinn,,,,['spark'],6.0,,https://pypi.org/project/quinn,2021-02-06 15:21:04.000000,6.0,399569.0,399569.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n657,chefboost,serengil/chefboost,,ml-frameworks,https://github.com/serengil/chefboost,https://github.com/serengil/chefboost,MIT,2019-03-06 12:26:27.000000,2021-06-29 13:35:23.000000,2021-06-29 13:35:23.000000,63,,13.0,260.0,316.0,\"A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some..\",5.0,20,False,2021-06-28 19:23:52.000000,0.0.13,13.0,chefboost,,,,,10.0,10.0,https://pypi.org/project/chefboost,2021-06-28 19:23:52.000000,,538.0,538.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n658,Brainiak,brainiak/brainiak,,medical-data,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27.000000,2021-05-28 01:21:58.000000,2021-05-28 01:21:58.000000,112,68.0,120.0,247.0,393.0,Brain Imaging Analysis Kit.,33.0,20,False,2019-08-27 23:52:29.000000,0.9.1,15.0,brainiak,,brainiak/brainiak,,,14.0,13.0,https://pypi.org/project/brainiak,2020-10-15 20:45:08.000000,1.0,297.0,306.0,,,,https://hub.docker.com/r/brainiak/brainiak,2020-10-15 21:11:03.379549,1.0,620.0,3.0,,,,,,,,,,,,,,,,,,,,,\n659,ivis,beringresearch/ivis,,data-viz,https://github.com/beringresearch/ivis,https://github.com/beringresearch/ivis,Apache-2.0,2018-08-13 08:31:01.000000,2021-06-30 22:59:25.000000,2021-06-30 22:59:25.000000,25,3.0,45.0,239.0,595.0,Dimensionality reduction in very large datasets using Siamese Networks.,9.0,20,False,2021-06-04 21:09:20.000000,2.0.4,30.0,ivis,,,,['tensorflow'],15.0,15.0,https://pypi.org/project/ivis,2021-06-04 21:09:20.000000,0.0,519.0,519.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n660,Glow,projectglow/glow,,medical-data,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47.000000,2021-07-08 00:21:37.000000,2021-07-08 00:21:37.000000,46,29.0,65.0,169.0,329.0,An open-source toolkit for large-scale genomic analysis.,14.0,20,False,2021-04-28 00:07:10.000000,1.0.1,11.0,glow.py,,,,,,,https://pypi.org/project/glow.py,2021-04-28 00:05:18.000000,,32655.0,32655.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n661,huggingface_hub,huggingface/huggingface_hub,,model-serialisation,https://github.com/huggingface/huggingface_hub,https://github.com/huggingface/huggingface_hub,Apache-2.0,2020-12-22 10:20:28.000000,2021-07-08 15:01:13.000000,2021-07-08 14:38:00.000000,20,40.0,18.0,152.0,,Client library to download and publish models and other files on the huggingface.co hub.,26.0,20,False,2021-06-28 12:57:27.000000,0.0.13,15.0,huggingface_hub,conda-forge/huggingface_hub,,,,0.0,,https://pypi.org/project/huggingface_hub,2021-06-28 12:50:02.000000,0.0,1192778.0,1193829.0,https://anaconda.org/conda-forge/huggingface_hub,2021-06-29 07:16:19.550000,5257.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n662,TTS,mozilla/TTS,,audio,https://github.com/mozilla/TTS,https://github.com/mozilla/TTS,MPL-2.0,2018-01-23 14:22:06.000000,2021-06-10 11:11:38.000000,2021-02-12 10:36:31.000000,795,19.0,488.0,4855.0,2184.0,Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts).,56.0,19,True,2021-01-29 00:03:56.000000,0.0.9,1.0,,,,,,,,,,,,135.0,,,,,,,,3.0,810.0,,,,,,,,,,,,,,,,,,,,\n663,Crypto Signals,CryptoSignal/crypto-signal,,financial-data,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24.000000,2021-07-07 16:32:22.000000,2021-06-28 16:44:17.000000,833,43.0,196.0,3214.0,564.0,\"Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 2,100 + stars, 580 + forks.\",28.0,19,True,,,,,,shadowreaver/crypto-signal,,,,,,,,,2986.0,,,,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133,7.0,137359.0,3.0,,,,,,,,,,,,,,,,,,,,,\n664,BytePS,bytedance/byteps,,distributed-ml,https://github.com/bytedance/byteps,https://github.com/bytedance/byteps,Apache-2.0,2019-06-25 07:00:13.000000,2021-06-26 09:03:00.000000,2021-06-26 07:59:51.000000,395,89.0,150.0,2875.0,418.0,A high performance and generic framework for distributed DNN training.,19.0,19,True,2020-08-27 15:42:13.000000,0.2.4,7.0,byteps,,bytepsimage/tensorflow,,,,,https://pypi.org/project/byteps,2020-11-04 00:05:46.000000,,251.0,295.0,,,,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,1119.0,3.0,,,,,,,,,,,,,,,,,,,,,\n665,AdaBound,Luolc/AdaBound,,pytorch-utils,https://github.com/Luolc/AdaBound,https://github.com/Luolc/AdaBound,Apache-2.0,2019-02-15 18:05:20.000000,2019-03-06 17:01:52.000000,2019-03-06 17:01:45.000000,327,16.0,7.0,2855.0,27.0,An optimizer that trains as fast as Adam and as good as SGD.,2.0,19,False,2019-03-06 16:44:42.000000,0.0.5,4.0,adabound,,,,['pytorch'],125.0,113.0,https://pypi.org/project/adabound,2019-02-26 04:23:45.000000,12.0,1079.0,1079.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n666,image-match,ProvenanceLabs/image-match,,image,https://github.com/ProvenanceLabs/image-match,https://github.com/ProvenanceLabs/image-match,Apache-2.0,2016-03-08 18:16:45.000000,2021-01-04 18:36:01.000000,2021-01-04 18:35:59.000000,371,45.0,48.0,2595.0,404.0,Quickly search over billions of images.,18.0,19,True,2017-02-13 14:54:48.000000,1.1.2,10.0,image_match,,,,,6.0,,https://pypi.org/project/image_match,2017-02-13 14:54:48.000000,6.0,744.0,744.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n667,StreamAlert,airbnb/streamalert,,others,https://github.com/airbnb/streamalert,https://github.com/airbnb/streamalert,Apache-2.0,2017-01-22 01:10:56.000000,2021-06-02 03:48:19.000000,2021-02-10 05:03:05.000000,297,88.0,249.0,2553.0,1893.0,\"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data..\",31.0,19,True,2020-10-05 21:50:56.000000,3.4.1,27.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n668,Apache Singa,apache/singa,,distributed-ml,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000000,2021-07-07 12:59:45.000000,2021-01-15 13:09:22.000000,642,40.0,38.0,2307.0,2265.0,a distributed deep learning platform.,70.0,19,True,2020-04-21 08:01:08.000000,3.0.0,14.0,,nusdbsystem/singa,apache/singa,,,1.0,1.0,,,,,7.0,https://anaconda.org/nusdbsystem/singa,2021-01-20 03:00:28.355000,279.0,https://hub.docker.com/r/apache/singa,2019-06-04 04:32:52.195956,2.0,173.0,3.0,,,,,,,,,,,,,,,,,,,,,\n669,pdftabextract,WZBSocialScienceCenter/pdftabextract,,ocr,https://github.com/WZBSocialScienceCenter/pdftabextract,https://github.com/WZBSocialScienceCenter/pdftabextract,Apache-2.0,2016-07-08 11:44:46.000000,2020-12-28 00:52:23.000000,2018-10-26 13:57:02.000000,336,3.0,18.0,1933.0,168.0,A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.,2.0,19,False,2018-01-09 08:00:24.000000,0.3.0,5.0,pdftabextract,,,,,38.0,37.0,https://pypi.org/project/pdftabextract,2018-01-09 08:00:24.000000,1.0,1017.0,1017.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n670,Coqui TTS,coqui-ai/TTS,,audio,https://github.com/coqui-ai/TTS,https://github.com/coqui-ai/TTS,MPL-2.0,2020-05-20 15:45:28.000000,2021-07-08 07:55:06.000000,2021-07-06 12:44:59.000000,136,16.0,82.0,1875.0,,\"- a deep learning toolkit for Text-to-Speech, battle-tested in research and production.\",74.0,19,True,2021-07-06 13:26:09.000000,0.1.2,11.0,tts,,,,\"['pytorch', 'tensorflow']\",,,https://pypi.org/project/tts,2017-07-14 20:02:42.000000,,2775.0,5990.0,,,,,,,,3.0,12860.0,,,,,,,,,,,,,,,,,,,,\n671,River,online-ml/river,,others,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000000,2021-06-29 19:13:52.000000,2021-06-29 19:11:12.000000,219,25.0,285.0,1737.0,3134.0,Online machine learning in Python.,65.0,19,True,,,,,,,,,28.0,28.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n672,NeuroNER,Franck-Dernoncourt/NeuroNER,,nlp,https://github.com/Franck-Dernoncourt/NeuroNER,https://github.com/Franck-Dernoncourt/NeuroNER,MIT,2017-03-07 01:24:15.000000,2021-05-21 15:20:14.000000,2019-10-02 23:26:11.000000,442,81.0,67.0,1561.0,132.0,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,7.0,19,False,2019-10-02 23:30:15.000000,1.0.8,7.0,pyneuroner,,,,,10.0,10.0,https://pypi.org/project/pyneuroner,2019-10-02 23:30:15.000000,,108.0,108.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n673,Neural Tangents,google/neural-tangents,,ml-frameworks,https://github.com/google/neural-tangents,https://github.com/google/neural-tangents,Apache-2.0,2019-04-08 16:48:48.000000,2021-06-29 21:13:20.000000,2021-06-29 21:13:12.000000,160,28.0,60.0,1476.0,,Fast and Easy Infinite Neural Networks in Python.,19.0,19,True,2021-01-25 23:20:02.000000,0.3.6,20.0,neural-tangents,,,,,20.0,20.0,https://pypi.org/project/neural-tangents,2021-01-25 23:06:16.000000,0.0,438.0,447.0,,,,,,,,3.0,117.0,,,,,,,,,,,,,,,,,,,,\n674,ThunderSVM,Xtra-Computing/thundersvm,,ml-frameworks,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04.000000,2021-02-10 05:12:44.000000,2021-02-10 05:12:44.000000,172,51.0,146.0,1318.0,902.0,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,33.0,19,True,2020-03-13 12:36:30.000000,0.3.12,9.0,thundersvm,,,,,,,https://pypi.org/project/thundersvm,2020-03-13 12:36:30.000000,,692.0,731.0,,,,,,,,3.0,2214.0,,,,,,,,,,,,,,,,,,,,\n675,Haiku,deepmind/dm-haiku,,ml-frameworks,https://github.com/deepmind/dm-haiku,https://github.com/deepmind/dm-haiku,Apache-2.0,2020-02-18 07:14:02.000000,2021-07-08 13:41:21.000000,2021-07-06 08:08:32.000000,86,23.0,73.0,1185.0,,JAX-based neural network library.,43.0,19,True,2021-04-12 13:12:13.000000,0.0.4,6.0,,,,,,115.0,115.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n676,Paddle Graph Learning,PaddlePaddle/PGL,,graph,https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28.000000,2021-07-01 13:15:58.000000,2021-07-01 13:15:58.000000,159,27.0,44.0,1064.0,,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,17.0,19,True,2021-05-12 05:13:54.000000,2.1.4,12.0,pgl,,,,['paddle'],19.0,17.0,https://pypi.org/project/pgl,2021-05-12 05:13:54.000000,2.0,682.0,682.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n677,Norfair,tryolabs/norfair,,image,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000000,2021-06-10 17:13:45.000000,2021-06-10 17:13:44.000000,74,8.0,25.0,1045.0,278.0,Lightweight Python library for adding real-time 2D object tracking to any detector.,9.0,19,True,2021-05-31 21:03:19.000000,0.3.0,11.0,norfair,,,,,,,https://pypi.org/project/norfair,2021-05-31 21:03:19.000000,,2198.0,2198.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n678,Skater,oracle/Skater,,interpretability,https://github.com/oracle/Skater,https://github.com/oracle/Skater,UPL-1.0,2017-01-26 05:45:42.000000,2020-11-01 15:57:12.273000,2020-06-29 20:07:12.000000,163,69.0,97.0,984.0,1101.0,Python Library for Model Interpretation/Explanations.,34.0,19,False,2018-09-21 07:03:32.000000,1.1.2,23.0,skater,conda-forge/skater,,,,,,https://pypi.org/project/skater,2018-09-21 07:03:32.000000,,1945.0,2790.0,https://anaconda.org/conda-forge/skater,2020-11-01 15:57:12.273000,41410.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n679,Databolt Flow,d6t/d6tflow,,data-pipelines,https://github.com/d6t/d6tflow,https://github.com/d6t/d6tflow,MIT,2019-02-03 01:51:22.000000,2021-04-28 04:27:05.000000,2021-04-28 04:27:05.000000,67,8.0,13.0,920.0,241.0,Python library for building highly effective data science workflows.,12.0,19,True,2021-03-17 03:43:31.000000,0.2.3,20.0,d6tflow,,,,,13.0,13.0,https://pypi.org/project/d6tflow,2021-03-17 03:43:31.000000,,273.0,273.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n680,Fiber,uber/fiber,,distributed-ml,https://github.com/uber/fiber,https://github.com/uber/fiber,Apache-2.0,2020-01-07 18:16:24.000000,2021-06-30 02:02:42.000000,2021-03-15 07:00:08.000000,97,16.0,8.0,906.0,66.0,Distributed Computing for AI Made Simple.,5.0,19,True,2020-07-09 03:28:28.000000,0.2.1,6.0,fiber,,,,,29.0,28.0,https://pypi.org/project/fiber,2020-07-09 03:28:28.000000,1.0,1567.0,1567.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n681,pytorch_geometric_temporal,benedekrozemberczki/pytorch_geometric_temporal,,graph,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,MIT,2020-06-27 01:11:33.000000,2021-07-02 16:39:16.000000,2021-07-02 16:39:16.000000,108,,40.0,849.0,1666.0,A Temporal Extension Library for PyTorch Geometric.,11.0,19,True,2021-06-12 16:27:44.000000,_0037,35.0,torch-geometric-temporal,,,,['pytorch'],,,https://pypi.org/project/torch-geometric-temporal,2021-06-12 16:25:56.000000,,1648.0,1648.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n682,graph4nlp,graph4ai/graph4nlp,,graph,https://github.com/graph4ai/graph4nlp,https://github.com/graph4ai/graph4nlp,Apache-2.0,2020-07-16 03:28:48.000000,2021-07-08 13:49:07.000000,2021-06-16 19:20:05.000000,94,4.0,56.0,849.0,1379.0,Graph4nlp is the library for the easy use of Graph Neural Networks for NLP.,19.0,19,True,2021-06-15 16:00:17.000000,0.4.1-alpha,9.0,graph4nlp,,,,['pytorch'],,,https://pypi.org/project/graph4nlp,2021-06-06 14:20:47.000000,,228.0,228.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n683,calamari,Calamari-OCR/calamari,,ocr,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,Apache-2.0,2018-03-20 15:22:29.000000,2021-07-01 14:19:54.000000,2021-07-01 14:19:49.000000,176,33.0,181.0,845.0,386.0,Line based ATR Engine based on OCRopy.,18.0,19,True,2021-05-30 10:58:28.000000,2.1.2,28.0,calamari_ocr,,,,,2.0,,https://pypi.org/project/calamari_ocr,2018-11-13 11:24:45.000000,2.0,963.0,963.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n684,tffm,geffy/tffm,,tensorflow-utils,https://github.com/geffy/tffm,https://github.com/geffy/tffm,MIT,2016-05-02 17:06:07.000000,2020-05-22 21:40:58.000000,2020-05-22 21:40:57.000000,176,17.0,21.0,764.0,106.0,TensorFlow implementation of an arbitrary order Factorization Machine.,10.0,19,False,2018-01-27 11:43:26.000000,1.0.1,2.0,tffm,,,,['tensorflow'],12.0,11.0,https://pypi.org/project/tffm,2018-01-27 11:43:26.000000,1.0,2069.0,2069.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n685,Hivemind,learning-at-home/hivemind,,distributed-ml,https://github.com/learning-at-home/hivemind,https://github.com/learning-at-home/hivemind,MIT,2020-02-27 13:50:19.000000,2021-07-08 14:20:14.000000,2021-07-07 14:18:11.000000,42,43.0,49.0,722.0,379.0,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,17.0,19,True,2021-06-22 21:50:15.000000,0.9.9,12.0,hivemind,,,,,4.0,3.0,https://pypi.org/project/hivemind,2021-06-22 22:57:34.000000,1.0,275.0,275.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n686,pytorch2keras,gmalivenko/pytorch2keras,,model-serialisation,https://github.com/gmalivenko/pytorch2keras,https://github.com/gmalivenko/pytorch2keras,MIT,2017-11-16 20:21:43.000000,2021-05-09 08:11:50.000000,2021-05-09 08:06:07.000000,117,49.0,66.0,718.0,278.0,PyTorch to Keras model convertor.,12.0,19,True,2020-05-14 10:03:56.000000,0.2.4,23.0,pytorch2keras,,,,,25.0,24.0,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56.000000,1.0,809.0,809.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n687,Test Tube,williamFalcon/test-tube,,hyperopt,https://github.com/williamFalcon/test-tube,https://github.com/williamFalcon/test-tube,MIT,2017-09-06 02:14:57.000000,2021-01-17 20:04:39.000000,2020-03-17 22:44:47.000000,63,25.0,21.0,694.0,642.0,Python library to easily log experiments and parallelize hyperparameter search for neural networks.,16.0,19,False,2019-12-01 01:19:36.000000,0.7.5,53.0,test_tube,,,,,5.0,,https://pypi.org/project/test_tube,2018-12-12 22:45:59.000000,5.0,15069.0,15069.0,,,,,,,,3.0,8.0,,,,,,,,,,,,,,,,,,,,\n688,XAI,EthicalML/xai,,interpretability,https://github.com/EthicalML/xai,https://github.com/EthicalML/xai,MIT,2019-01-11 20:00:09.000000,2021-07-05 11:00:43.000000,2021-04-23 07:08:20.000000,101,4.0,3.0,652.0,87.0,XAI - An eXplainability toolbox for machine learning.,3.0,19,True,2019-04-21 14:53:12.000000,0.0.5,5.0,xai,,,,,17.0,11.0,https://pypi.org/project/xai,2019-04-21 14:53:12.000000,6.0,1278.0,1278.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n689,matrixprofile-ts,target/matrixprofile-ts,,time-series-data,https://github.com/target/matrixprofile-ts,https://github.com/target/matrixprofile-ts,Apache-2.0,2018-09-10 19:03:34.000000,2020-04-25 18:38:20.000000,2020-04-25 18:37:42.000000,91,19.0,34.0,640.0,198.0,A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile.,15.0,19,False,2019-08-08 01:24:38.000000,0.0.9,9.0,matrixprofile-ts,,,,,16.0,16.0,https://pypi.org/project/matrixprofile-ts,2019-08-08 01:24:38.000000,,2050.0,2050.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n690,vecstack,vecxoz/vecstack,,others,https://github.com/vecxoz/vecstack,https://github.com/vecxoz/vecstack,MIT,2016-11-08 13:23:21.000000,2020-09-14 08:31:07.000000,2019-10-30 09:27:48.000000,74,,37.0,627.0,189.0,Python package for stacking (machine learning technique).,1.0,19,False,2019-08-12 16:09:01.000000,0.4.0,6.0,vecstack,,,,,145.0,137.0,https://pypi.org/project/vecstack,2019-08-12 16:01:22.000000,8.0,2462.0,2462.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n691,RLax,deepmind/rlax,,reinforcement-learning,https://github.com/deepmind/rlax,https://github.com/deepmind/rlax,Apache-2.0,2020-02-18 07:14:59.000000,2021-06-18 15:22:48.000000,2021-06-18 15:22:13.000000,46,4.0,6.0,624.0,113.0,A library of reinforcement learning building blocks in JAX.,12.0,19,True,2020-02-19 23:01:30.000000,0.1.0,3.0,rlax,,,,['jax'],20.0,20.0,https://pypi.org/project/rlax,2020-02-19 23:01:30.000000,,1275.0,1275.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n692,Torchbearer,pytorchbearer/torchbearer,,ml-frameworks,https://github.com/pytorchbearer/torchbearer,https://github.com/pytorchbearer/torchbearer,MIT,2018-03-12 16:30:42.000000,2021-03-26 19:56:57.000000,2021-03-26 19:56:57.000000,66,8.0,237.0,605.0,430.0,torchbearer: A model fitting library for PyTorch.,13.0,19,True,2020-01-31 14:07:22.000000,0.5.3,24.0,torchbearer,,,,['pytorch'],57.0,51.0,https://pypi.org/project/torchbearer,2020-01-31 14:05:56.000000,6.0,858.0,858.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n693,iterative-stratification,trent-b/iterative-stratification,,sklearn-utils,https://github.com/trent-b/iterative-stratification,https://github.com/trent-b/iterative-stratification,BSD-3-Clause,2018-02-04 00:32:10.000000,2020-09-12 15:32:44.000000,2020-09-12 15:35:02.000000,52,2.0,11.0,575.0,47.0,scikit-learn cross validators for iterative stratification of multilabel data.,4.0,19,True,2018-08-12 18:28:50.000000,0.1.6,5.0,iterative-stratification,,,,['sklearn'],162.0,148.0,https://pypi.org/project/iterative-stratification,2018-08-12 18:28:50.000000,14.0,6182.0,6182.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n694,robustness,MadryLab/robustness,,adversarial,https://github.com/MadryLab/robustness,https://github.com/MadryLab/robustness,MIT,2019-08-21 09:26:33.000000,2021-07-06 04:05:16.000000,2021-03-04 15:19:19.000000,103,9.0,52.0,556.0,139.0,\"A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.\",12.0,19,True,2020-12-01 06:11:12.000000,1.2.1.post2,10.0,robustness,,,,,59.0,57.0,https://pypi.org/project/robustness,2020-12-01 06:21:33.000000,2.0,1898.0,1898.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n695,What-If Tool,PAIR-code/what-if-tool,,interpretability,https://github.com/PAIR-code/what-if-tool,https://github.com/PAIR-code/what-if-tool,Apache-2.0,2018-09-07 20:26:10.000000,2021-05-11 09:27:28.000000,2021-03-17 12:46:20.000000,106,39.0,38.0,547.0,319.0,Source code/webpage/demos for the What-If Tool.,19.0,19,True,2021-01-19 14:40:37.214000,1.8.0,38.0,witwidget,,,,,0.0,,https://pypi.org/project/witwidget,2021-01-19 14:40:21.000000,0.0,9646.0,12602.0,,,,,,,,3.0,,,,wit-widget,https://www.npmjs.com/package/wit-widget,2021-01-19 14:40:37.214000,,2956.0,,,,,,,,,,,,,\n696,deeplift,kundajelab/deeplift,,interpretability,https://github.com/kundajelab/deeplift,https://github.com/kundajelab/deeplift,MIT,2016-06-01 02:18:06.000000,2020-11-11 19:56:24.000000,2020-11-11 19:56:23.000000,127,29.0,47.0,544.0,551.0,Public facing deeplift repo.,11.0,19,True,2018-07-13 21:11:52.000000,0.6.6,21.0,deeplift,,,,,53.0,49.0,https://pypi.org/project/deeplift,2020-11-11 09:32:57.000000,4.0,684.0,684.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n697,tcav,tensorflow/tcav,,interpretability,https://github.com/tensorflow/tcav,https://github.com/tensorflow/tcav,Apache-2.0,2018-07-03 17:45:35.000000,2021-06-08 19:53:23.000000,2021-05-07 12:33:34.000000,112,2.0,50.0,471.0,164.0,Code for the TCAV ML interpretability project.,19.0,19,True,2021-02-23 16:17:42.000000,0.2.2,4.0,tcav,,,,['tensorflow'],11.0,9.0,https://pypi.org/project/tcav,2021-02-23 16:17:42.000000,2.0,104.0,104.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n698,PyKEEN,pykeen/pykeen,,graph,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000000,2021-07-07 00:52:29.000000,2021-07-03 21:11:58.000000,70,81.0,149.0,463.0,2427.0,A Python library for learning and evaluating knowledge graph embeddings.,19.0,19,True,2021-06-13 21:50:49.000000,1.5.0,36.0,pykeen,,,,,2.0,,https://pypi.org/project/pykeen,2021-06-13 21:46:17.000000,2.0,1068.0,1074.0,,,,,,,,3.0,79.0,,,,,,,,,,,,,,,,,,,,\n699,seglearn,dmbee/seglearn,,time-series-data,https://github.com/dmbee/seglearn,https://github.com/dmbee/seglearn,BSD-3-Clause,2018-03-05 20:53:59.000000,2021-03-13 16:18:30.000000,2021-03-12 17:12:50.000000,47,5.0,23.0,462.0,268.0,Python module for machine learning time series:.,13.0,19,True,2021-03-13 16:18:30.000000,1.2.3,22.0,seglearn,,,,,9.0,8.0,https://pypi.org/project/seglearn,2021-03-13 16:18:30.000000,1.0,1488.0,1488.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n700,MXBoard,awslabs/mxboard,,ml-experiments,https://github.com/awslabs/mxboard,https://github.com/awslabs/mxboard,Apache-2.0,2018-02-06 23:03:51.000000,2020-01-24 23:21:56.000000,2020-01-24 23:21:55.000000,46,16.0,15.0,332.0,42.0,Logging MXNet data for visualization in TensorBoard.,9.0,19,False,2018-05-22 20:25:51.000000,0.1.0,12.0,mxboard,,,,['mxnet'],123.0,111.0,https://pypi.org/project/mxboard,2018-05-22 20:25:51.000000,12.0,2453.0,2453.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n701,rrcf,kLabUM/rrcf,,others,https://github.com/kLabUM/rrcf,https://github.com/kLabUM/rrcf,MIT,2018-10-20 05:39:05.000000,2021-01-13 23:05:23.000000,2020-06-10 01:07:39.000000,77,22.0,17.0,319.0,253.0,Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams.,4.0,19,False,2020-06-10 01:53:55.000000,0.4.3,7.0,rrcf,,,,,19.0,19.0,https://pypi.org/project/rrcf,2020-06-10 01:53:55.000000,0.0,4392.0,4392.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n702,Sherpa,sherpa-ai/sherpa,,hyperopt,https://github.com/sherpa-ai/sherpa,https://github.com/sherpa-ai/sherpa,GPL-3.0,2018-05-16 21:41:54.000000,2020-10-18 07:57:50.000000,2020-10-18 07:57:48.000000,45,13.0,41.0,296.0,823.0,\"Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.\",43.0,19,False,2020-07-31 05:29:09.000000,1.0.7,8.0,parameter-sherpa,,,,,13.0,11.0,https://pypi.org/project/parameter-sherpa,2019-11-23 21:32:27.000000,2.0,1309.0,1309.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n703,pandas-ml,pandas-ml/pandas-ml,,others,https://github.com/pandas-ml/pandas-ml,https://github.com/pandas-ml/pandas-ml,BSD-3-Clause,2015-02-21 03:14:04.000000,2020-08-14 12:29:33.000000,2019-03-05 01:36:55.000000,59,24.0,17.0,273.0,153.0,\"pandas, scikit-learn, xgboost and seaborn integration.\",4.0,19,False,2019-03-05 01:36:12.000000,0.6.1,9.0,pandas-ml,,,,\"['sklearn', 'pandas']\",10.0,,https://pypi.org/project/pandas-ml,2019-03-05 01:35:23.000000,10.0,3765.0,3765.0,,,,,,,,3.0,5.0,,,,,,,,,,,,,,,,,,,,\n704,sk-dist,Ibotta/sk-dist,,distributed-ml,https://github.com/Ibotta/sk-dist,https://github.com/Ibotta/sk-dist,Apache-2.0,2019-08-14 21:07:17.000000,2021-07-07 00:44:10.000000,2021-07-07 00:44:07.000000,46,6.0,10.0,267.0,58.0,Distributed scikit-learn meta-estimators in PySpark.,7.0,19,False,2020-05-14 22:20:14.000000,0.1.9,12.0,sk-dist,,,,\"['sklearn', 'spark']\",9.0,7.0,https://pypi.org/project/sk-dist,2020-05-14 22:20:14.000000,2.0,13956.0,13956.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n705,Auto TS,AutoViML/Auto_TS,,time-series-data,https://github.com/AutoViML/Auto_TS,https://github.com/AutoViML/Auto_TS,Apache-2.0,2020-02-15 15:23:32.000000,2021-06-29 13:49:39.000000,2021-06-29 13:48:07.000000,51,8.0,35.0,257.0,235.0,\"Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of..\",6.0,19,False,2021-06-29 13:49:39.000000,0.0.37,16.0,auto-ts,,,,,,,https://pypi.org/project/auto-ts,2021-06-29 13:49:39.000000,,1432.0,1432.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n706,imodels,csinva/imodels,,interpretability,https://github.com/csinva/imodels,https://github.com/csinva/imodels,MIT,2019-07-04 15:38:48.000000,2021-07-01 21:24:20.000000,2021-06-24 01:06:00.000000,21,,12.0,230.0,360.0,\"Interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible).\",4.0,19,False,2021-03-11 18:51:58.000000,0.2.8,8.0,imodels,,,,,7.0,7.0,https://pypi.org/project/imodels,2021-03-11 18:44:07.000000,,1049.0,1049.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n707,pyfasttext,vrasneur/pyfasttext,,nlp,https://github.com/vrasneur/pyfasttext,https://github.com/vrasneur/pyfasttext,GPL-3.0,2017-06-30 18:44:42.000000,2018-12-08 15:32:09.000000,2018-12-08 15:02:12.000000,30,21.0,28.0,229.0,153.0,Yet another Python binding for fastText.,4.0,19,False,2018-12-08 15:32:09.000000,0.4.6,13.0,pyfasttext,,,,,181.0,168.0,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09.000000,13.0,3983.0,3990.0,,,,,,,,3.0,329.0,,,,,,,,,,,,,,,,,,,,\n708,somoclu,peterwittek/somoclu,,distributed-ml,https://github.com/peterwittek/somoclu,https://github.com/peterwittek/somoclu,MIT,2013-01-16 06:33:16.000000,2021-06-14 00:58:58.000000,2021-06-14 00:58:58.000000,59,27.0,105.0,227.0,618.0,\"Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters.\",19.0,19,False,2018-03-03 02:44:37.000000,1.7.5,17.0,somoclu,conda-forge/somoclu,,,,4.0,,https://pypi.org/project/somoclu,2020-04-25 05:33:32.000000,4.0,756.0,1860.0,https://anaconda.org/conda-forge/somoclu,2020-10-13 18:39:07.609000,51016.0,,,,,3.0,1494.0,,,,,,,,,,,,,,,,,,,,\n709,fairness-indicators,tensorflow/fairness-indicators,,interpretability,https://github.com/tensorflow/fairness-indicators,https://github.com/tensorflow/fairness-indicators,Apache-2.0,2019-09-30 22:56:45.000000,2021-07-07 14:20:20.000000,2021-06-10 17:29:41.000000,59,15.0,7.0,211.0,265.0,Tensorflow's Fairness Evaluation and Visualization Toolkit.,21.0,19,False,2021-05-25 23:38:51.000000,0.30.1,18.0,fairness-indicators,,,,\"['tensorflow', 'jupyter']\",,,https://pypi.org/project/fairness-indicators,2021-05-25 23:38:51.000000,,712.0,712.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n710,pymap3d,geospace-code/pymap3d,,geospatial-data,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03.000000,2021-06-09 19:39:13.000000,2021-06-09 19:39:08.000000,60,2.0,24.0,199.0,,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,10.0,19,False,2021-05-25 21:45:42.000000,2.7.0,49.0,pymap3d,conda-forge/pymap3d,,,,6.0,,https://pypi.org/project/pymap3d,2021-05-25 21:45:42.000000,6.0,46862.0,47532.0,https://anaconda.org/conda-forge/pymap3d,2021-05-26 06:22:15.584000,10733.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n711,gokart,m3dev/gokart,,ml-experiments,https://github.com/m3dev/gokart,https://github.com/m3dev/gokart,MIT,2018-12-23 07:40:27.000000,2021-07-05 21:59:13.000000,2021-07-03 11:08:20.000000,33,9.0,37.0,196.0,415.0,\"Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning..\",27.0,19,False,2021-04-26 01:41:26.000000,1.0.0,56.0,gokart,,,,,2.0,,https://pypi.org/project/gokart,2020-02-25 06:01:19.000000,2.0,788.0,788.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n712,Muda,bmcfee/muda,,audio,https://github.com/bmcfee/muda,https://github.com/bmcfee/muda,ISC,2014-11-07 21:21:22.000000,2021-05-03 14:04:37.000000,2021-05-03 14:04:36.000000,34,5.0,44.0,191.0,293.0,A library for augmenting annotated audio data.,7.0,19,False,2019-11-15 15:46:21.000000,0.4.1,11.0,muda,,,,,10.0,9.0,https://pypi.org/project/muda,2019-11-15 15:46:21.000000,1.0,165.0,165.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n713,Funsor,pyro-ppl/funsor,,probabilistics,https://github.com/pyro-ppl/funsor,https://github.com/pyro-ppl/funsor,Apache-2.0,2019-01-30 23:13:39.000000,2021-07-02 04:09:26.000000,2021-07-02 04:03:08.000000,14,73.0,67.0,176.0,536.0,Functional tensors for probabilistic programming.,9.0,19,False,2021-07-02 04:10:35.000000,0.4.1,7.0,funsor,,,,['pytorch'],14.0,14.0,https://pypi.org/project/funsor,2021-07-02 04:09:26.000000,0.0,826.0,826.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n714,BatchFlow,analysiscenter/batchflow,,data-pipelines,https://github.com/analysiscenter/batchflow,https://github.com/analysiscenter/batchflow,Apache-2.0,2017-03-13 14:22:53.000000,2021-07-06 15:45:15.000000,2021-07-06 15:38:33.000000,37,40.0,65.0,161.0,4687.0,BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and..,30.0,19,False,2021-06-10 10:54:52.000000,0.5.0,7.0,batchflow,,,,,,,https://pypi.org/project/batchflow,2021-06-10 10:54:52.000000,,107.0,107.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n715,flupy,olirice/flupy,,data-pipelines,https://github.com/olirice/flupy,https://github.com/olirice/flupy,MIT,2018-01-06 16:46:04.000000,2021-05-26 18:54:20.000000,2021-05-26 18:54:08.000000,9,,7.0,158.0,180.0,Fluent data pipelines for python and your shell.,4.0,19,False,2021-05-26 18:53:55.000000,1.1.7,35.0,flupy,,,,,0.0,,https://pypi.org/project/flupy,2021-05-26 18:53:55.000000,0.0,59134.0,59134.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n716,nvidia-ml-py3,nicolargo/nvidia-ml-py3,,gpu-utilities,https://github.com/nicolargo/nvidia-ml-py3,https://github.com/nicolargo/nvidia-ml-py3,BSD-3-Clause,2017-06-03 07:47:03.000000,2019-03-06 20:41:10.000000,2019-03-06 20:41:09.000000,15,2.0,,68.0,5.0,Python 3 Bindings for the NVIDIA Management Library.,2.0,19,False,2017-06-03 07:43:46.000000,7.352.0,1.0,nvidia-ml-py3,,,,,3827.0,3607.0,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46.000000,220.0,642510.0,642510.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n717,graph-nets,deepmind/graph_nets,,graph,https://github.com/deepmind/graph_nets,https://github.com/deepmind/graph_nets,Apache-2.0,2018-08-31 08:19:28.000000,2020-12-04 17:43:48.000000,2020-12-04 17:43:47.000000,737,9.0,108.0,4917.0,47.0,Build Graph Nets in Tensorflow.,10.0,18,True,2020-01-29 16:00:25.000000,1.1.0,7.0,graph-nets,,,,['tensorflow'],7.0,,https://pypi.org/project/graph-nets,2020-01-29 16:00:25.000000,7.0,1088.0,1088.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n718,PaddleDetection,PaddlePaddle/PaddleDetection,,image,https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000000,2021-07-08 11:54:50.000000,2021-07-07 09:42:18.000000,1061,453.0,1594.0,4308.0,,Object detection and instance segmentation toolkit based on PaddlePaddle.,63.0,18,True,2021-05-20 11:25:07.000000,2.1.0,3.0,,,,,['paddle'],5.0,5.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n719,LIT,PAIR-code/lit,,interpretability,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000000,2021-07-01 17:41:25.000000,2021-04-05 17:58:30.000000,258,48.0,44.0,2589.0,,The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and..,14.0,18,True,2021-04-05 19:14:45.000000,0.3,5.0,lit-nlp,,,,,3.0,3.0,https://pypi.org/project/lit-nlp,2021-04-05 19:12:37.000000,,518.0,518.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n720,opyrator,ml-tooling/opyrator,,others,https://github.com/ml-tooling/opyrator,https://github.com/ml-tooling/opyrator,MIT,2021-04-06 08:09:06.000000,2021-06-02 04:27:49.000000,2021-05-06 12:10:38.000000,97,14.0,7.0,2296.0,,\"Turns your machine learning code into microservices with web API, interactive GUI, and more.\",4.0,18,True,2021-05-04 18:48:03.000000,0.0.12,11.0,opyrator,,,,,16.0,16.0,https://pypi.org/project/opyrator,2021-05-04 18:48:03.000000,,506.0,506.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n721,cuML,rapidsai/cuml,,gpu-utilities,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000000,2021-07-08 03:42:38.000000,2021-07-06 17:13:56.000000,336,629.0,1176.0,2250.0,,cuML - RAPIDS Machine Learning Library.,132.0,18,True,2021-06-17 15:17:06.000000,21.06.02,11.0,cuml,,,,,0.0,,https://pypi.org/project/cuml,2020-06-01 20:09:10.000000,0.0,608.0,608.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n722,spark-deep-learning,databricks/spark-deep-learning,,data-pipelines,https://github.com/databricks/spark-deep-learning,https://github.com/databricks/spark-deep-learning,Apache-2.0,2017-05-31 17:30:28.000000,2021-07-02 02:54:02.000000,2021-01-20 15:00:20.000000,449,73.0,27.0,1854.0,135.0,Deep Learning Pipelines for Apache Spark.,15.0,18,True,2020-01-08 19:50:31.000000,1.6.0,9.0,,,,,['spark'],17.0,17.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n723,riko,nerevu/riko,,data-pipelines,https://github.com/nerevu/riko,https://github.com/nerevu/riko,MIT,2016-06-02 12:22:51.000000,2020-08-14 18:29:28.000000,2020-08-14 16:47:45.000000,72,22.0,8.0,1566.0,1257.0,A Python stream processing engine modeled after Yahoo! Pipes.,18.0,18,True,2020-08-14 18:29:28.000000,0.66.0,58.0,riko,,,,,1.0,,https://pypi.org/project/riko,2020-08-14 18:29:28.000000,1.0,266.0,266.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n724,pytorchvideo,facebookresearch/pytorchvideo,,image,https://github.com/facebookresearch/pytorchvideo,https://github.com/facebookresearch/pytorchvideo,Apache-2.0,2021-03-09 20:39:13.000000,2021-07-08 06:25:11.000000,2021-07-08 06:25:06.000000,105,21.0,32.0,1559.0,80.0,A deep learning library for video understanding research.,20.0,18,True,2021-06-26 00:17:07.000000,0.1.2,7.0,pytorchvideo,,,,['pytorch'],0.0,,https://pypi.org/project/pytorchvideo,2021-06-26 00:17:07.000000,0.0,2487.0,2487.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n725,keepsake,replicate/keepsake,,ml-experiments,https://github.com/replicate/keepsake,https://github.com/replicate/keepsake,Apache-2.0,2020-07-01 04:37:44.000000,2021-07-07 23:17:37.000000,2021-05-07 00:33:52.000000,56,123.0,64.0,1492.0,,Version control for machine learning.,16.0,18,True,2021-03-11 21:15:01.000000,0.4.2,7.0,keepsake,,,,,,,https://pypi.org/project/keepsake,2021-03-11 21:15:01.000000,,1520.0,1520.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n726,Backtesting.py,kernc/backtesting.py,,financial-data,https://github.com/kernc/backtesting.py,https://github.com/kernc/backtesting.py,AGPL-3.0,2019-01-02 03:11:32.000000,2021-06-23 08:50:34.000000,2021-04-29 23:59:19.000000,333,35.0,204.0,1480.0,230.0,Backtest trading strategies in Python.,13.0,18,False,2017-07-22 02:00:06.000000,0.0.1,1.0,backtesting,,,,,2.0,,https://pypi.org/project/backtesting,2017-07-22 02:00:06.000000,2.0,5213.0,5213.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n727,aim,aimhubio/aim,,ml-experiments,https://github.com/aimhubio/aim,https://github.com/aimhubio/aim,Apache-2.0,2019-05-31 18:25:07.000000,2021-07-08 11:38:23.000000,2021-07-06 12:59:54.000000,80,101.0,92.0,1324.0,,\"Aim a super-easy way to record, search and compare 1000s of ML training runs.\",17.0,18,True,2019-11-06 08:06:11.000000,3.1.0,63.0,aim,,,,,2.0,,https://pypi.org/project/aim,2019-11-06 08:06:11.000000,2.0,40633.0,40633.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n728,lightseq,bytedance/lightseq,,nlp,https://github.com/bytedance/lightseq,https://github.com/bytedance/lightseq,Apache-2.0,2019-12-06 08:25:24.000000,2021-07-08 10:35:12.000000,2021-07-08 10:35:12.000000,116,10.0,29.0,1242.0,131.0,LightSeq: A High Performance Library for Sequence Processing and Generation.,6.0,18,True,2021-06-29 10:24:06.000000,2.0.3,8.0,lightseq,,,,,,,https://pypi.org/project/lightseq,2021-06-29 10:24:06.000000,,869.0,891.0,,,,,,,,3.0,426.0,,,,,,,,,,,,,,,,,,,,\n729,doc2text,jlsutherland/doc2text,,ocr,https://github.com/jlsutherland/doc2text,https://github.com/jlsutherland/doc2text,MIT,2016-08-28 19:30:02.000000,2020-12-01 22:56:27.000000,2020-12-01 22:56:26.000000,101,14.0,9.0,1241.0,62.0,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,5.0,18,True,2016-09-06 21:59:21.000000,0.2.4,5.0,doc2text,,,,,41.0,41.0,https://pypi.org/project/doc2text,2016-09-06 21:59:21.000000,,576.0,576.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n730,greykite,linkedin/greykite,,time-series-data,https://github.com/linkedin/greykite,https://github.com/linkedin/greykite,BSD-2-Clause,2021-04-27 17:05:53.000000,2021-07-01 19:41:38.000000,2021-07-01 16:54:07.000000,41,9.0,16.0,1164.0,12.0,\"A flexible, intuitive and fast forecasting library.\",5.0,18,True,2021-07-01 19:41:38.000000,0.2.0,6.0,greykite,,,,,1.0,1.0,https://pypi.org/project/greykite,2021-07-01 19:41:38.000000,,8353.0,8353.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n731,AdvBox,advboxes/AdvBox,,adversarial,https://github.com/advboxes/AdvBox,https://github.com/advboxes/AdvBox,Apache-2.0,2018-08-08 08:55:41.000000,2021-06-08 19:16:50.000000,2021-05-03 22:51:52.000000,233,8.0,29.0,1119.0,375.0,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,19.0,18,True,2018-12-05 02:48:50.000000,0.4.1,2.0,advbox,,,,,,,https://pypi.org/project/advbox,2018-12-05 02:48:50.000000,,57.0,57.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n732,Bounter,RaRe-Technologies/bounter,,data-containers,https://github.com/RaRe-Technologies/bounter,https://github.com/RaRe-Technologies/bounter,MIT,2017-07-18 07:24:15.000000,2021-05-24 07:30:15.000000,2021-05-24 07:29:54.000000,48,12.0,9.0,917.0,156.0,Efficient Counter that uses a limited (bounded) amount of memory regardless of data size.,8.0,18,True,2020-08-17 06:37:51.000000,1.1.1,7.0,bounter,,,,,38.0,24.0,https://pypi.org/project/bounter,2020-08-17 06:37:51.000000,14.0,139.0,139.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n733,iNNvestigate,albermax/innvestigate,,interpretability,https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20.000000,2021-07-06 18:41:52.000000,2021-06-24 18:43:38.000000,182,71.0,156.0,841.0,911.0,A toolbox to iNNvestigate neural networks' predictions!.,19.0,18,True,2020-11-14 11:35:59.000000,1.0.9,2.0,innvestigate,,,,['tensorflow'],1.0,,https://pypi.org/project/innvestigate,2020-11-14 11:35:59.000000,1.0,397.0,397.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n734,CrypTen,facebookresearch/CrypTen,,privacy-ml,https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000000,2021-06-25 05:20:35.000000,2021-06-25 05:20:31.000000,118,27.0,53.0,836.0,286.0,A framework for Privacy Preserving Machine Learning.,24.0,18,True,2020-04-21 13:59:37.000000,0.1,1.0,crypten,,,,['pytorch'],11.0,11.0,https://pypi.org/project/crypten,2020-02-05 18:53:03.000000,,331.0,331.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n735,ADTK,arundo/adtk,,time-series-data,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22.000000,2020-04-29 19:54:40.000000,2020-04-17 02:27:44.000000,86,25.0,31.0,679.0,78.0,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,11.0,18,False,2020-04-17 02:18:00.000000,0.6.2,13.0,adtk,,,,,,,https://pypi.org/project/adtk,2020-04-17 02:18:00.000000,,65208.0,65208.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n736,Performer Pytorch,lucidrains/performer-pytorch,,pytorch-utils,https://github.com/lucidrains/performer-pytorch,https://github.com/lucidrains/performer-pytorch,MIT,2020-10-03 03:41:36.000000,2021-04-21 06:30:05.000000,2021-04-21 06:29:48.000000,82,25.0,39.0,644.0,,\"An implementation of Performer, a linear attention-based transformer, in Pytorch.\",4.0,18,True,2021-04-21 06:30:05.000000,1.0.11,75.0,performer-pytorch,,,,['pytorch'],26.0,26.0,https://pypi.org/project/performer-pytorch,2021-04-21 05:45:21.000000,0.0,1650.0,1650.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n737,sklearn-deap,rsteca/sklearn-deap,,hyperopt,https://github.com/rsteca/sklearn-deap,https://github.com/rsteca/sklearn-deap,MIT,2015-10-28 22:52:34.000000,2019-12-03 13:29:06.000000,2019-12-03 13:29:04.000000,109,21.0,31.0,643.0,98.0,Use evolutionary algorithms instead of gridsearch in scikit-learn.,21.0,18,False,2019-07-15 09:24:09.000000,0.2.4,13.0,sklearn-deap,,,,['sklearn'],27.0,25.0,https://pypi.org/project/sklearn-deap,2019-07-15 09:24:09.000000,2.0,901.0,901.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n738,Dragonfly,dragonfly/dragonfly,,hyperopt,https://github.com/dragonfly/dragonfly,https://github.com/dragonfly/dragonfly,MIT,2018-04-20 22:19:50.000000,2020-07-26 17:44:31.000000,2020-07-03 18:01:17.000000,80,26.0,17.0,585.0,397.0,An open source python library for scalable Bayesian optimisation.,12.0,18,True,2020-07-03 18:05:12.000000,0.1.6,9.0,dragonfly-opt,,,,,2.0,,https://pypi.org/project/dragonfly-opt,2020-07-03 18:05:12.000000,2.0,24850.0,24850.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n739,baikal,alegonz/baikal,,others,https://github.com/alegonz/baikal,https://github.com/alegonz/baikal,BSD-3-Clause,2019-01-21 12:59:02.000000,2021-04-18 08:09:10.000000,2021-04-11 07:50:00.000000,29,6.0,14.0,579.0,405.0,A graph-based functional API for building complex scikit-learn pipelines.,2.0,18,True,2020-11-15 13:40:18.000000,0.4.2,7.0,baikal,conda-forge/cython-blis,,,,3.0,3.0,https://pypi.org/project/baikal,2020-11-15 13:40:18.000000,0.0,335.0,34391.0,https://anaconda.org/conda-forge/cython-blis,2021-01-31 09:13:47.685000,953569.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n740,SKLL,EducationalTestingService/skll,,ml-experiments,https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,BSD-1-Clause,2013-08-02 14:31:46.000000,2021-05-14 14:51:58.000000,2021-04-30 14:40:12.000000,64,38.0,348.0,523.0,,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,35.0,18,False,2021-02-26 03:01:01.000000,2.5,64.0,skll,,,,['sklearn'],47.0,30.0,https://pypi.org/project/skll,2020-03-13 16:23:35.000000,17.0,529.0,529.0,,,,,,,,3.0,10.0,,,,,,,,,,,,,,,,,,,,\n741,TF Compression,tensorflow/compression,,tensorflow-utils,https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19.000000,2021-06-12 08:59:39.000000,2021-06-12 08:54:12.000000,178,,66.0,508.0,173.0,Data compression in TensorFlow.,10.0,18,True,2021-05-14 00:38:32.000000,2.2,11.0,tensorflow-compression,,,,['tensorflow'],1.0,,https://pypi.org/project/tensorflow-compression,2021-05-14 00:25:53.000000,1.0,935.0,935.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n742,animatplot,t-makaro/animatplot,,data-viz,https://github.com/t-makaro/animatplot,https://github.com/t-makaro/animatplot,MIT,2017-04-03 00:54:04.000000,2021-04-07 10:46:25.000000,2020-10-05 06:14:18.000000,33,17.0,16.0,372.0,178.0,A python package for animating plots build on matplotlib.,7.0,18,True,2020-10-05 06:20:52.000000,0.4.2,10.0,animatplot,conda-forge/animatplot,,,,23.0,21.0,https://pypi.org/project/animatplot,2020-10-05 06:20:52.000000,2.0,564.0,773.0,https://anaconda.org/conda-forge/animatplot,2020-10-06 02:02:00.460000,6064.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n743,Baal,ElementAI/baal,,probabilistics,https://github.com/ElementAI/baal,https://github.com/ElementAI/baal,Apache-2.0,2019-09-30 20:16:26.000000,2021-06-25 22:04:18.000000,2021-06-25 22:04:13.000000,33,11.0,34.0,363.0,113.0,Using approximate bayesian posteriors in deep nets for active learning.,9.0,18,True,2021-03-16 13:48:22.000000,1.3.0,8.0,baal,,,,,9.0,9.0,https://pypi.org/project/baal,2021-03-16 13:38:39.000000,,517.0,517.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n744,tick,X-DataInitiative/tick,,time-series-data,https://github.com/X-DataInitiative/tick,https://github.com/X-DataInitiative/tick,BSD-3-Clause,2016-12-01 10:59:08.000000,2020-08-11 12:36:43.000000,2020-06-15 12:01:36.000000,78,55.0,161.0,348.0,413.0,\"Module for statistical learning, with a particular emphasis on time-dependent modelling.\",16.0,18,False,2019-09-11 11:25:15.000000,0.6,23.0,tick,,,,,40.0,39.0,https://pypi.org/project/tick,2020-05-24 22:01:17.000000,1.0,1609.0,1612.0,,,,,,,,3.0,163.0,,,,,,,,,,,,,,,,,,,,\n745,Case Recommender,caserec/CaseRecommender,,recommender-systems,https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39.000000,2021-06-17 10:47:07.000000,2021-06-17 10:47:07.000000,72,7.0,17.0,345.0,203.0,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems.,11.0,18,True,2019-08-20 13:48:43.000000,1.1.0,41.0,caserecommender,,,,['sklearn'],9.0,9.0,https://pypi.org/project/caserecommender,2019-08-20 13:48:43.000000,,238.0,238.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n746,Camphr,PKSHATechnology-Research/camphr,,nlp,https://github.com/PKSHATechnology-Research/camphr,https://github.com/PKSHATechnology-Research/camphr,Apache-2.0,2020-02-10 03:39:58.000000,2021-07-08 13:56:26.000000,2021-07-02 09:46:43.000000,18,7.0,25.0,334.0,1256.0,\"spaCy plugin for Transformers , Udify, ELmo, etc.\",7.0,18,True,2021-03-05 10:59:35.000000,0.8.8,45.0,camphr,,,,['spacy'],0.0,,https://pypi.org/project/camphr,2021-03-05 10:59:35.000000,0.0,538.0,538.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n747,textpipe,textpipe/textpipe,,nlp,https://github.com/textpipe/textpipe,https://github.com/textpipe/textpipe,MIT,2018-06-21 16:23:32.000000,2021-06-09 11:55:53.000000,2021-06-09 11:55:53.000000,20,21.0,25.0,292.0,371.0,Textpipe: clean and extract metadata from text.,27.0,18,False,2021-01-25 14:05:21.000000,0.12.2,39.0,textpipe,,,,,1.0,,https://pypi.org/project/textpipe,2021-01-25 14:05:21.000000,1.0,3081.0,3081.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n748,recmetrics,statisticianinstilettos/recmetrics,,recommender-systems,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49.000000,2020-12-03 21:21:02.000000,2020-12-03 21:21:00.000000,62,5.0,7.0,280.0,233.0,A library of metrics for evaluating recommender systems.,12.0,18,False,2019-03-05 04:11:15.000000,0.0.12,14.0,recmetrics,,,,,19.0,19.0,https://pypi.org/project/recmetrics,2019-03-05 04:11:15.000000,,484.0,484.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n749,responsible-ai-widgets,microsoft/responsible-ai-widgets,,interpretability,https://github.com/microsoft/responsible-ai-widgets,https://github.com/microsoft/responsible-ai-widgets,MIT,2020-07-06 20:46:53.000000,2021-07-08 08:18:36.000000,2021-07-08 04:19:01.000000,54,83.0,104.0,219.0,,\"This project provides responsible AI user interfaces for Fairlearn, interpret-community, and Error Analysis, as well..\",16.0,18,False,2021-06-28 23:07:45.000000,0.8.0,17.0,raiwidgets,,,,\"['pytorch', 'tensorflow', 'jupyter']\",9.0,9.0,https://pypi.org/project/raiwidgets,2021-06-28 23:07:45.000000,0.0,3461.0,3461.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n750,fletcher,xhochy/fletcher,,data-containers,https://github.com/xhochy/fletcher,https://github.com/xhochy/fletcher,MIT,2018-03-04 16:44:22.000000,2021-02-18 14:46:18.000000,2021-02-18 14:46:18.000000,33,34.0,40.0,213.0,520.0,Pandas ExtensionDType/Array backed by Apache Arrow.,24.0,18,False,2021-01-17 20:11:01.000000,0.7.2,16.0,fletcher,conda-forge/fletcher,,,['pandas'],3.0,3.0,https://pypi.org/project/fletcher,2021-01-17 20:11:01.000000,0.0,271.0,1003.0,https://anaconda.org/conda-forge/fletcher,2021-01-17 21:23:17.140000,26372.0,,,,,3.0,12.0,,,,,,,,,,,,,,,,,,,,\n751,model-card-toolkit,tensorflow/model-card-toolkit,,interpretability,https://github.com/tensorflow/model-card-toolkit,https://github.com/tensorflow/model-card-toolkit,Apache-2.0,2020-07-24 16:48:58.000000,2021-07-07 21:49:25.000000,2021-06-24 15:36:34.000000,28,12.0,2.0,203.0,129.0,a tool that leverages rich metadata and lineage information in MLMD to build a model card.,10.0,18,False,2021-02-05 20:56:01.000000,0.1.3,4.0,model-card-toolkit,,,,,3.0,3.0,https://pypi.org/project/model-card-toolkit,2021-02-05 20:54:29.000000,,258.0,258.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n752,textaugment,dsfsi/textaugment,,nlp,https://github.com/dsfsi/textaugment,https://github.com/dsfsi/textaugment,MIT,2019-05-06 12:28:19.000000,2021-06-28 17:34:26.000000,2021-06-28 17:34:05.000000,26,10.0,10.0,150.0,54.0,TextAugment: Text Augmentation Library.,4.0,18,False,2020-11-05 15:04:26.000000,1.3.4,8.0,textaugment,,,,,5.0,5.0,https://pypi.org/project/textaugment,2020-11-05 15:02:11.000000,,2988.0,2989.0,,,,,,,,3.0,43.0,,,,,,,,,,,,,,,,,,,,\n753,AugLy,facebookresearch/AugLy,,others,https://github.com/facebookresearch/AugLy,https://github.com/facebookresearch/AugLy,MIT,2021-06-09 17:57:28.000000,2021-07-08 15:17:49.000000,2021-07-08 10:29:17.000000,147,9.0,17.0,3487.0,,\"A data augmentations library for audio, image, text, and video.\",5.0,17,True,2021-06-29 21:28:18.000000,0.1.4,9.0,augly,,,,,2.0,2.0,https://pypi.org/project/augly,2021-06-29 21:28:18.000000,,2550.0,2550.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n754,DALI,NVIDIA/DALI,,gpu-utilities,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000000,2021-07-08 11:58:09.000000,2021-07-08 11:58:09.000000,407,171.0,837.0,3356.0,,A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to..,60.0,17,True,2021-06-30 13:15:12.000000,1.3.0,41.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n755,ReAgent,facebookresearch/ReAgent,,reinforcement-learning,https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000000,2021-07-07 18:23:05.000000,2021-07-07 18:22:41.000000,406,20.0,75.0,2955.0,1241.0,\"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).\",102.0,17,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n756,Spotlight,maciejkula/spotlight,,recommender-systems,https://github.com/maciejkula/spotlight,https://github.com/maciejkula/spotlight,MIT,2017-06-25 18:52:19.000000,2020-11-15 08:21:28.000000,2020-02-09 21:03:48.000000,374,67.0,48.0,2526.0,299.0,Deep recommender models using PyTorch.,11.0,17,False,2019-09-08 10:19:53.000000,0.1.6,7.0,,maciejkula/spotlight,,,['pytorch'],,,,,,,128.0,https://anaconda.org/maciejkula/spotlight,2018-05-27 18:32:12.235000,6283.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n757,pycls,facebookresearch/pycls,,image,https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17.000000,2021-07-08 03:45:49.000000,2021-07-07 22:04:59.000000,180,17.0,49.0,1646.0,88.0,\"Codebase for Image Classification Research, written in PyTorch.\",13.0,17,True,2021-05-21 00:29:47.000000,0.2,2.0,,,,,['pytorch'],3.0,3.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n758,BlazingSQL,BlazingDB/blazingsql,,gpu-utilities,https://github.com/BlazingDB/blazingsql,https://github.com/BlazingDB/blazingsql,Apache-2.0,2018-09-24 18:25:45.000000,2021-07-06 14:59:51.000000,2021-07-02 13:08:11.000000,144,129.0,583.0,1527.0,,\"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.\",46.0,17,True,2021-04-21 21:35:59.000000,0.19.0,17.0,,blazingsql/blazingsql-protocol,,,,,,,,,,42.0,https://anaconda.org/blazingsql/blazingsql-protocol,2019-11-11 19:54:17.621000,928.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n759,Lambda Networks,lucidrains/lambda-networks,,pytorch-utils,https://github.com/lucidrains/lambda-networks,https://github.com/lucidrains/lambda-networks,MIT,2020-10-08 19:01:15.000000,2020-11-18 19:54:34.000000,2020-11-18 19:54:30.000000,150,12.0,15.0,1470.0,,\"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.\",3.0,17,True,2020-11-18 08:19:23.000000,0.4.0,11.0,lambda-networks,,,,['pytorch'],3.0,3.0,https://pypi.org/project/lambda-networks,2020-11-18 08:19:23.000000,,540.0,540.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n760,Advisor,tobegit3hub/advisor,,hyperopt,https://github.com/tobegit3hub/advisor,https://github.com/tobegit3hub/advisor,Apache-2.0,2017-09-14 03:50:33.000000,2019-11-11 07:09:57.869705,2019-11-11 06:59:31.000000,250,20.0,13.0,1382.0,165.0,Open-source implementation of Google Vizier for hyper parameters tuning.,11.0,17,False,2018-10-18 02:54:09.000000,0.1.6,4.0,advisor,,tobegit3hub/advisor,,,,,https://pypi.org/project/advisor,2018-10-18 02:54:09.000000,,73.0,107.0,,,,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1598.0,3.0,,,,,,,,,,,,,,,,,,,,,\n761,zenml,maiot-io/zenml,,data-pipelines,https://github.com/maiot-io/zenml,https://github.com/maiot-io/zenml,Apache-2.0,2020-11-19 09:25:46.000000,2021-07-07 09:58:49.000000,2021-07-06 08:44:57.000000,63,16.0,31.0,1202.0,,ZenML : MLOps framework to create reproducible ML pipelines for production machine learning.,13.0,17,True,2021-06-07 07:09:13.000000,0.3.8,34.0,zenml,,,,,1.0,1.0,https://pypi.org/project/zenml,2021-06-10 19:31:02.000000,,857.0,857.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n762,sklearn-porter,nok/sklearn-porter,,model-serialisation,https://github.com/nok/sklearn-porter,https://github.com/nok/sklearn-porter,MIT,2016-06-22 22:21:34.000000,2021-06-01 22:52:09.000000,2019-12-18 13:31:50.000000,138,42.0,29.0,1056.0,699.0,\"Transpile trained scikit-learn estimators to C, Java, JavaScript and others.\",11.0,17,False,2019-12-18 13:39:19.000000,0.7.4,20.0,sklearn-porter,,,,['sklearn'],1.0,,https://pypi.org/project/sklearn-porter,2019-12-18 13:39:19.000000,1.0,433.0,433.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n763,DIG,divelab/DIG,,graph,https://github.com/divelab/DIG,https://github.com/divelab/DIG,GPL-3.0,2020-10-30 03:51:15.000000,2021-07-06 04:02:21.000000,2021-07-06 04:02:19.000000,86,2.0,25.0,777.0,,A library for graph deep learning research.,24.0,17,False,2021-05-20 23:53:44.000000,0.0.4,10.0,dig,,,,,8.0,,https://pypi.org/project/dig,2015-08-23 10:30:20.000000,8.0,258.0,258.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n764,Tez,abhishekkrthakur/tez,,pytorch-utils,https://github.com/abhishekkrthakur/tez,https://github.com/abhishekkrthakur/tez,Apache-2.0,2020-11-13 10:19:22.000000,2021-07-04 15:23:50.000000,2021-05-05 18:56:37.000000,86,14.0,7.0,621.0,,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,,17,True,2021-05-05 18:57:21.000000,0.1.4,10.0,tez,,,,['pytorch'],7.0,7.0,https://pypi.org/project/tez,2021-05-05 18:57:21.000000,0.0,876.0,876.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n765,AlphaPy,ScottfreeLLC/AlphaPy,,hyperopt,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32.000000,2021-02-08 21:35:40.000000,2021-02-08 21:35:40.000000,136,9.0,29.0,614.0,409.0,\"Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost.\",3.0,17,True,2020-08-29 18:48:20.000000,2.5.0,25.0,alphapy,,,,,3.0,3.0,https://pypi.org/project/alphapy,2020-08-29 18:44:15.000000,,164.0,164.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n766,nboost,koursaros-ai/nboost,,nlp,https://github.com/koursaros-ai/nboost,https://github.com/koursaros-ai/nboost,Apache-2.0,2019-10-29 20:56:24.000000,2020-09-30 14:51:16.000000,2020-07-16 19:48:25.000000,64,28.0,50.0,577.0,1336.0,\"NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search..\",10.0,17,True,2020-06-12 20:05:15.000000,0.3.9,26.0,nboost,,,,,3.0,3.0,https://pypi.org/project/nboost,2020-06-12 20:05:15.000000,,135.0,135.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n767,Tensor Sensor,parrt/tensor-sensor,,pytorch-utils,https://github.com/parrt/tensor-sensor,https://github.com/parrt/tensor-sensor,MIT,2020-08-28 22:54:04.000000,2021-05-26 23:19:21.000000,2021-05-26 23:19:17.000000,27,5.0,13.0,562.0,167.0,The goal of this library is to generate more helpful exception messages for numpy/pytorch matrix algebra expressions.,2.0,17,True,2021-05-26 23:15:44.000000,0.1.2,35.0,tensor-sensor,,,,['pytorch'],2.0,2.0,https://pypi.org/project/tensor-sensor,2021-05-26 23:15:44.000000,,723.0,723.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n768,avalanche,ContinualAI/avalanche,,others,https://github.com/ContinualAI/avalanche,https://github.com/ContinualAI/avalanche,MIT,2020-03-05 11:32:13.000000,2021-07-07 07:31:23.000000,2021-07-07 07:25:55.000000,73,61.0,311.0,535.0,1915.0,Avalanche: an End-to-End Library for Continual Learning.,33.0,17,True,2021-03-11 11:51:35.000000,0.0.1,1.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n769,Vulkan Kompute,EthicalML/vulkan-kompute,,gpu-utilities,https://github.com/EthicalML/vulkan-kompute,https://github.com/EthicalML/vulkan-kompute,Apache-2.0,2020-07-29 05:23:33.000000,2021-06-28 10:06:13.000000,2021-06-21 07:00:58.000000,36,53.0,96.0,423.0,873.0,\"General purpose GPU compute framework for cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast,..\",14.0,17,True,2021-03-14 16:03:43.000000,0.7.0,11.0,kp,,,,,2.0,2.0,https://pypi.org/project/kp,2021-03-14 15:37:22.000000,,142.0,147.0,,,,,,,,3.0,63.0,,,,,,,,,,,,,,,,,,,,\n770,BioPandas,rasbt/biopandas,,others,https://github.com/rasbt/biopandas,https://github.com/rasbt/biopandas,BSD-3-Clause,2015-11-21 00:00:14.000000,2021-04-07 03:17:51.000000,2021-04-07 03:17:51.000000,82,15.0,21.0,361.0,,Working with molecular structures in pandas DataFrames.,7.0,17,True,2021-03-03 00:55:13.000000,0.2.8,12.0,biopandas,conda-forge/biopandas,,,['pandas'],6.0,,https://pypi.org/project/biopandas,2021-03-03 00:55:13.000000,6.0,848.0,2280.0,https://anaconda.org/conda-forge/biopandas,2020-08-08 06:33:59.197000,78772.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n771,pdvega,altair-viz/pdvega,,data-viz,https://github.com/altair-viz/pdvega,https://github.com/altair-viz/pdvega,MIT,2018-01-11 21:30:27.000000,2019-03-29 16:09:14.000000,2019-03-29 16:09:13.000000,29,16.0,10.0,340.0,177.0,Interactive plotting for Pandas using Vega-Lite.,9.0,17,False,,,1.0,pdvega,,,,,58.0,51.0,https://pypi.org/project/pdvega,2018-02-01 04:56:43.000000,7.0,159.0,159.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n772,carefree-learn,carefree0910/carefree-learn,,tabular,https://github.com/carefree0910/carefree-learn,https://github.com/carefree0910/carefree-learn,MIT,2020-06-17 17:44:17.000000,2021-07-08 11:39:18.000000,2021-04-12 01:09:21.000000,28,4.0,75.0,336.0,194.0,Tabular Datasets PyTorch.,1.0,17,True,2021-04-09 01:12:31.000000,0.1.16,17.0,carefree-learn,,,,['pytorch'],2.0,2.0,https://pypi.org/project/carefree-learn,2021-03-18 01:39:58.000000,,325.0,325.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n773,datmo,datmo/datmo,,ml-experiments,https://github.com/datmo/datmo,https://github.com/datmo/datmo,MIT,2017-11-03 05:46:43.000000,2021-06-01 22:48:33.000000,2019-11-29 00:48:44.000000,27,42.0,149.0,334.0,1051.0,Open source production model management tool for data scientists.,6.0,17,False,2018-12-07 06:16:42.000000,0.0.40,41.0,datmo,,,,,5.0,5.0,https://pypi.org/project/datmo,2018-12-07 06:16:42.000000,,97.0,97.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n774,apricot,jmschrei/apricot,,others,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12.000000,2021-02-18 03:37:56.000000,2021-02-18 03:37:55.000000,30,3.0,15.0,322.0,167.0,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,2.0,17,True,2020-09-28 07:19:15.000000,0.6.0,13.0,apricot-select,,,,,19.0,19.0,https://pypi.org/project/apricot-select,2020-09-28 07:19:15.000000,0.0,596.0,596.0,,,,,,,,3.0,8.0,,,,,,,,,,,,,,,,,,,,\n775,scikit-tda,scikit-tda/scikit-tda,,sklearn-utils,https://github.com/scikit-tda/scikit-tda,https://github.com/scikit-tda/scikit-tda,MIT,2018-04-13 21:00:31.000000,2021-01-09 19:51:04.000000,2021-01-09 19:50:05.000000,33,11.0,4.0,294.0,56.0,Topological Data Analysis for Python.,2.0,17,False,2021-01-09 19:51:04.000000,0.1.0,3.0,scikit-tda,,,,['sklearn'],20.0,20.0,https://pypi.org/project/scikit-tda,2021-01-09 19:51:04.000000,,4169.0,4169.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n776,bodywork-core,bodywork-ml/bodywork-core,,data-pipelines,https://github.com/bodywork-ml/bodywork-core,https://github.com/bodywork-ml/bodywork-core,AGPL-3.0,2020-11-17 11:38:17.000000,2021-07-08 10:55:38.000000,2021-07-05 08:09:48.000000,11,5.0,26.0,255.0,467.0,MLOps tool for deploying machine learning projects to Kubernetes.,4.0,17,False,2021-07-05 08:15:59.000000,2.1.7,45.0,bodywork,,,,,5.0,5.0,https://pypi.org/project/bodywork,2021-07-05 08:15:59.000000,,707.0,707.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n777,solt,MIPT-Oulu/solt,,image,https://github.com/MIPT-Oulu/solt,https://github.com/MIPT-Oulu/solt,MIT,2018-08-02 15:09:05.000000,2020-12-05 11:06:18.000000,2020-04-09 06:44:39.000000,19,16.0,30.0,252.0,336.0,Streaming over lightweight data transformations.,4.0,17,False,2020-03-10 14:09:31.000000,0.1.9,18.0,solt,,,,,24.0,21.0,https://pypi.org/project/solt,2020-03-10 14:09:31.000000,3.0,220.0,220.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n778,DeepGraph,deepgraph/deepgraph,,graph,https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45.000000,2021-06-14 10:58:14.000000,2021-06-14 10:58:10.000000,35,8.0,5.0,239.0,162.0,Analyze Data with Pandas-based Networks. Documentation:.,2.0,17,False,2020-10-01 13:20:38.000000,0.2.3,13.0,deepgraph,conda-forge/deepgraph,,,['pandas'],1.0,1.0,https://pypi.org/project/deepgraph,2020-10-01 13:18:38.000000,,357.0,2502.0,https://anaconda.org/conda-forge/deepgraph,2021-01-15 08:36:25.609000,100818.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n779,elegy,poets-ai/elegy,,ml-frameworks,https://github.com/poets-ai/elegy,https://github.com/poets-ai/elegy,Apache-2.0,2020-06-30 14:00:37.000000,2021-06-01 16:05:08.000000,2021-06-01 16:05:00.000000,13,21.0,38.0,227.0,304.0,Elegy is a framework-agnostic Trainer interface for the Jax ecosystem.,13.0,17,False,2021-06-01 15:54:50.000000,0.7.4,23.0,elegy,,,,\"['tensorflow', 'jax']\",,,https://pypi.org/project/elegy,2021-06-01 15:45:43.000000,,306.0,306.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n780,ExplainX.ai,explainX/explainx,,interpretability,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15.000000,2021-02-07 11:06:21.000000,2021-02-02 09:03:57.000000,36,10.0,17.0,212.0,184.0,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,4.0,17,False,2021-02-07 11:06:21.000000,2.407,56.0,explainx,,,,,,,https://pypi.org/project/explainx,2021-02-04 16:44:24.000000,,1466.0,1466.0,,,,,,,,3.0,1.0,,,,,,,,,,,,,,,,,,,,\n781,Julius,adefossez/julius,,audio,https://github.com/adefossez/julius,https://github.com/adefossez/julius,MIT,2020-10-26 10:54:21.000000,2021-06-22 15:54:57.000000,2021-06-22 15:53:16.000000,9,,6.0,202.0,,Fast PyTorch based DSP for audio and 1D signals.,2.0,17,False,2021-06-22 15:53:57.000000,0.2.4,8.0,julius,,,,['pytorch'],23.0,23.0,https://pypi.org/project/julius,2021-06-22 15:53:57.000000,0.0,5147.0,5147.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n782,lkpy,lenskit/lkpy,,recommender-systems,https://github.com/lenskit/lkpy,https://github.com/lenskit/lkpy,MIT,2018-06-08 21:05:10.000000,2021-06-22 22:27:42.000000,2021-06-22 22:27:36.000000,49,26.0,60.0,173.0,,Python recommendation toolkit.,13.0,17,False,2021-06-22 17:06:47.000000,0.13.1,20.0,lenskit,conda-forge/lenskit,,,,0.0,,https://pypi.org/project/lenskit,2021-06-22 17:07:09.000000,0.0,1547.0,2141.0,https://anaconda.org/conda-forge/lenskit,2021-06-22 22:08:21.249000,4758.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n783,Larq Compute Engine,larq/compute-engine,,model-serialisation,https://github.com/larq/compute-engine,https://github.com/larq/compute-engine,Apache-2.0,2019-08-29 15:02:43.000000,2021-07-02 18:21:54.000000,2021-07-02 18:21:53.000000,23,21.0,101.0,152.0,,Highly optimized inference engine for Binarized Neural Networks.,16.0,17,False,2021-06-11 10:28:07.000000,0.6.0,13.0,larq-compute-engine,,,,,3.0,3.0,https://pypi.org/project/larq-compute-engine,2021-06-11 16:29:46.000000,,588.0,602.0,,,,,,,,3.0,254.0,,,,,,,,,,,,,,,,,,,,\n784,pyRDF2Vec,IBCNServices/pyRDF2Vec,,graph,https://github.com/IBCNServices/pyRDF2Vec,https://github.com/IBCNServices/pyRDF2Vec,MIT,2019-06-13 11:36:12.000000,2021-07-05 07:13:02.000000,2021-07-05 07:12:54.000000,20,3.0,35.0,123.0,1136.0,Python Implementation and Extension of RDF2Vec.,5.0,17,False,2021-06-09 10:56:14.000000,0.2.3,11.0,pyrdf2vec,,,,,,,https://pypi.org/project/pyrdf2vec,2021-06-09 10:56:14.000000,,243.0,243.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n785,dabl,amueller/dabl,,sklearn-utils,https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49.000000,2021-05-29 00:00:25.000000,2020-07-08 16:14:41.000000,8,1.0,,87.0,252.0,Data Analysis Baseline Library.,18.0,17,False,2021-02-27 01:25:17.000000,0.2.0,11.0,dabl,,,,['sklearn'],,,https://pypi.org/project/dabl,2021-02-27 01:25:17.000000,,1969.0,1969.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n786,DE⫶TR,facebookresearch/detr,,image,https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52.000000,2021-06-30 10:31:24.000000,2021-06-30 10:31:23.000000,1179,97.0,252.0,7159.0,42.0,End-to-End Object Detection with Transformers.,21.0,16,True,2020-06-29 16:41:01.000000,0.2,1.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n787,DeepMind Lab,deepmind/lab,,reinforcement-learning,https://github.com/deepmind/lab,https://github.com/deepmind/lab,GPL-2.0,2016-11-30 13:41:26.000000,2021-07-01 17:29:51.000000,2021-07-01 16:21:35.000000,1310,41.0,159.0,6488.0,486.0,A customisable 3D platform for agent-based AI research.,7.0,16,False,2020-12-07 11:26:33.000000,release-2020-12-07,8.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n788,tinygrad,geohot/tinygrad,,pytorch-utils,https://github.com/geohot/tinygrad,https://github.com/geohot/tinygrad,MIT,2020-10-18 16:23:12.000000,2021-07-02 15:19:09.000000,2021-06-29 14:20:54.000000,537,21.0,64.0,4851.0,561.0,You like pytorch? You like micrograd? You love tinygrad!.,49.0,16,True,,,,,,,,['pytorch'],1.0,1.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n789,PySlowFast,facebookresearch/SlowFast,,image,https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26.000000,2021-07-08 06:26:53.000000,2021-07-08 06:26:48.000000,762,208.0,222.0,3898.0,147.0,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,24.0,16,True,,,,,,,,['pytorch'],4.0,4.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n790,GraphEmbedding,shenweichen/GraphEmbedding,,graph,https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20.000000,2021-07-08 00:28:17.000000,2020-10-18 09:32:47.000000,634,35.0,14.0,2101.0,28.0,Implementation and experiments of graph embedding algorithms.,8.0,16,True,,,,,,,,['sklearn'],11.0,11.0,,,,,,,,,,,,,3.0,,,2.0,,,,,,,,,,,,,,,,,,\n791,automl-gs,minimaxir/automl-gs,,hyperopt,https://github.com/minimaxir/automl-gs,https://github.com/minimaxir/automl-gs,MIT,2019-01-13 18:57:44.000000,2019-10-22 11:20:40.000000,2019-04-05 06:48:14.000000,164,26.0,6.0,1746.0,102.0,\"Provide an input CSV and a target field to predict, generate a model + code to run it.\",7.0,16,False,2019-04-05 06:51:04.000000,0.2.1,2.0,automl_gs,,,,,,,https://pypi.org/project/automl_gs,2019-04-05 06:47:54.000000,,32.0,32.0,,,,,,,,3.0,21.0,,,,,,,,,,,,,,,,,,,,\n792,Mara Pipelines,mara/mara-pipelines,,data-pipelines,https://github.com/mara/mara-pipelines,https://github.com/mara/mara-pipelines,MIT,2018-03-31 20:37:22.000000,2021-03-08 23:02:36.000000,2021-03-08 23:02:33.000000,80,11.0,12.0,1739.0,134.0,\"A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow.\",16.0,16,True,2021-01-23 22:34:03.000000,3.1.2,7.0,mara-pipelines,,,,,7.0,7.0,https://pypi.org/project/mara-pipelines,2021-01-23 22:34:03.000000,,97.0,97.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n793,Antialiased CNNs,adobe/antialiased-cnns,,pytorch-utils,https://github.com/adobe/antialiased-cnns,https://github.com/adobe/antialiased-cnns,CC BY-NC-SA 4.0,2019-05-14 20:51:25.000000,2021-03-01 18:01:57.000000,2020-10-22 19:40:07.000000,179,9.0,31.0,1393.0,238.0,pip install antialiased-cnns to improve stability and accuracy.,6.0,16,False,2020-10-23 22:45:52.000000,0.3,6.0,antialiased-cnns,,,,['pytorch'],1.0,1.0,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49.000000,,401.0,401.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n794,Xcessiv,reiinakano/xcessiv,,hyperopt,https://github.com/reiinakano/xcessiv,https://github.com/reiinakano/xcessiv,Apache-2.0,2017-03-07 18:18:25.000000,2018-06-06 22:23:37.000000,2017-08-21 00:51:15.000000,109,22.0,13.0,1258.0,316.0,\"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.\",6.0,16,False,2017-08-21 00:53:25.000000,0.5.1,34.0,xcessiv,,,,,2.0,1.0,https://pypi.org/project/xcessiv,2017-08-21 00:49:41.000000,1.0,131.0,131.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n795,Botflow,kkyon/botflow,,data-pipelines,https://github.com/kkyon/botflow,https://github.com/kkyon/botflow,BSD-3-Clause,2018-08-20 03:13:31.000000,2020-12-31 09:03:22.000000,2019-05-23 14:40:50.000000,99,2.0,2.0,1176.0,192.0,\"Python Fast Dataflow programming framework for Data pipeline work( Web Crawler,Machine Learning,Quantitative..\",11.0,16,False,2018-09-14 14:38:32.000000,0.2.0,5.0,botflow,,,,,1.0,1.0,https://pypi.org/project/botflow,2018-09-14 14:38:32.000000,,78.0,78.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n796,ecco,jalammar/ecco,,interpretability,https://github.com/jalammar/ecco,https://github.com/jalammar/ecco,BSD-3-Clause,2020-11-07 10:06:34.000000,2021-07-07 11:51:44.000000,2021-02-25 11:02:31.000000,50,10.0,9.0,812.0,,Visualize and explore NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks..,2.0,16,True,2021-02-25 09:54:16.000000,0.0.14,14.0,ecco,,,,['pytorch'],3.0,3.0,https://pypi.org/project/ecco,2021-02-08 05:55:57.000000,,192.0,192.0,,,,,,,,3.0,1.0,,,,,,,,,,,,,,,,,,,,\n797,cuGraph,rapidsai/cugraph,,gpu-utilities,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000000,2021-07-07 20:23:49.000000,2021-07-07 14:13:50.000000,151,111.0,561.0,761.0,,cuGraph - RAPIDS Graph Analytics Library.,64.0,16,True,2021-06-09 21:07:01.000000,21.06.00,9.0,cugraph,,,,,0.0,,https://pypi.org/project/cugraph,2020-06-01 20:09:06.000000,0.0,82.0,82.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n798,NeoML,neoml-lib/neoml,,ml-frameworks,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000000,2021-07-08 11:49:19.000000,2021-07-08 11:49:05.000000,87,31.0,20.0,626.0,385.0,Machine learning framework for both deep learning and traditional algorithms.,21.0,16,True,2021-06-22 05:25:53.000000,NeoML-master_2.0.5.0,2.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n799,SpeedTorch,Santosh-Gupta/SpeedTorch,,gpu-utilities,https://github.com/Santosh-Gupta/SpeedTorch,https://github.com/Santosh-Gupta/SpeedTorch,MIT,2019-09-07 18:57:52.000000,2020-02-21 23:13:29.000000,2020-02-21 23:13:28.000000,39,3.0,2.0,621.0,170.0,Library for faster pinned CPU - GPU transfer in Pytorch.,3.0,16,False,2020-01-06 05:27:17.000000,0.1.6,14.0,SpeedTorch,,,,['pytorch'],5.0,3.0,https://pypi.org/project/SpeedTorch,2020-01-06 05:27:17.000000,2.0,100.0,100.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n800,FlashTorch,MisaOgura/flashtorch,,interpretability,https://github.com/MisaOgura/flashtorch,https://github.com/MisaOgura/flashtorch,MIT,2019-03-22 13:00:57.000000,2021-06-30 12:46:02.000000,2021-04-27 11:10:20.000000,71,10.0,22.0,603.0,127.0,Visualization toolkit for neural networks in PyTorch! Demo --.,2.0,16,True,2020-05-29 14:39:38.000000,0.1.3,12.0,flashtorch,,,,['pytorch'],6.0,6.0,https://pypi.org/project/flashtorch,2020-05-29 14:38:32.000000,,197.0,197.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n801,Auto Tune Models,HDI-Project/ATM,,hyperopt,https://github.com/HDI-Project/ATM,https://github.com/HDI-Project/ATM,MIT,2016-10-14 18:03:00.000000,2020-02-21 17:44:07.000000,2020-02-21 17:40:58.000000,128,17.0,71.0,507.0,775.0,\"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).\",16.0,16,False,2019-07-30 09:28:26.000000,0.2.2,14.0,atm,,,,,6.0,6.0,https://pypi.org/project/atm,2019-07-30 09:25:11.000000,,105.0,105.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n802,kglib,vaticle/kglib,,graph,https://github.com/vaticle/kglib,https://github.com/vaticle/kglib,Apache-2.0,2018-09-16 16:46:48.000000,2021-05-31 07:19:24.000000,2021-01-15 11:17:51.000000,84,12.0,49.0,439.0,487.0,Grakn Knowledge Graph Library (ML R&D).,7.0,16,True,2020-08-19 15:39:10.000000,0.2.2,7.0,grakn-kglib,,,,,,,https://pypi.org/project/grakn-kglib,2020-08-19 15:39:10.000000,,133.0,139.0,,,,,,,,3.0,207.0,,,,,,,,,,,,,,,,,,,,\n803,OpenRec,ylongqi/openrec,,recommender-systems,https://github.com/ylongqi/openrec,https://github.com/ylongqi/openrec,Apache-2.0,2017-11-29 16:04:40.000000,2021-05-21 14:50:17.000000,2020-02-19 07:57:17.000000,84,5.0,12.0,376.0,213.0,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms.,11.0,16,False,2020-02-18 06:52:11.000000,0.3.0,12.0,openrec,,,,,2.0,1.0,https://pypi.org/project/openrec,2020-02-18 06:52:11.000000,1.0,54.0,54.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n804,atspy,firmai/atspy,,time-series-data,https://github.com/firmai/atspy,https://github.com/firmai/atspy,MIT,2020-01-28 05:00:10.000000,2021-05-21 16:09:11.000000,2020-11-12 16:15:26.000000,68,18.0,2.0,363.0,97.0,AtsPy: Automated Time Series Models in Python (by @firmai).,5.0,16,True,2020-11-12 16:10:48.000000,zen,39.0,atspy,,,,,3.0,3.0,https://pypi.org/project/atspy,2020-04-24 18:16:15.000000,,671.0,671.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n805,Sematch,gsi-upm/sematch,,graph,https://github.com/gsi-upm/sematch,https://github.com/gsi-upm/sematch,Apache-2.0,2012-11-30 11:11:53.000000,2020-11-05 21:20:52.000000,2019-03-27 03:17:24.000000,100,14.0,19.0,357.0,122.0,semantic similarity framework for knowledge graph.,5.0,16,False,2017-04-17 10:56:52.000000,1.0.4,5.0,sematch,,,,,32.0,29.0,https://pypi.org/project/sematch,2017-04-17 10:56:52.000000,3.0,144.0,144.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n806,pytorch_tabular,manujosephv/pytorch_tabular,,tabular,https://github.com/manujosephv/pytorch_tabular,https://github.com/manujosephv/pytorch_tabular,MIT,2020-12-15 07:17:03.000000,2021-06-24 03:21:20.000000,2021-06-20 06:46:55.000000,28,12.0,16.0,352.0,,A standard framework for modelling Deep Learning Models for tabular data.,1.0,16,True,2021-06-20 06:57:47.000000,0.6.0,7.0,pytorch_tabular,,,,['pytorch'],,,https://pypi.org/project/pytorch_tabular,2021-06-20 06:57:47.000000,,1207.0,1207.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n807,VizSeq,facebookresearch/vizseq,,nlp,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38.000000,2021-06-16 13:39:30.000000,2021-06-16 13:39:22.000000,40,7.0,8.0,341.0,50.0,\"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).\",3.0,16,True,2020-08-07 01:13:52.000000,0.1.15,16.0,vizseq,,,,,2.0,2.0,https://pypi.org/project/vizseq,2020-08-07 01:13:52.000000,,284.0,284.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n808,Pywick,achaiah/pywick,,pytorch-utils,https://github.com/achaiah/pywick,https://github.com/achaiah/pywick,MIT,2019-03-25 15:42:47.000000,2021-06-29 16:51:28.000000,2021-05-17 15:46:51.000000,36,3.0,10.0,328.0,124.0,High-level batteries-included neural network training library for Pytorch.,4.0,16,True,2020-01-20 22:14:21.000000,0.5.6,6.0,pywick,,,,['pytorch'],4.0,4.0,https://pypi.org/project/pywick,2020-01-20 22:14:21.000000,,80.0,80.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n809,TextBox,RUCAIBox/TextBox,,nlp,https://github.com/RUCAIBox/TextBox,https://github.com/RUCAIBox/TextBox,MIT,2020-11-08 07:35:46.000000,2021-06-09 10:30:04.000000,2021-06-09 10:30:04.000000,44,2.0,5.0,277.0,,TextBox is an open-source library for building text generation system.,10.0,16,False,2021-04-15 13:39:28.000000,0.2.1,10.0,textbox,,,,,5.0,5.0,https://pypi.org/project/textbox,2021-04-15 09:35:06.000000,,75.0,75.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n810,Headliner,as-ideas/headliner,,nlp,https://github.com/as-ideas/headliner,https://github.com/as-ideas/headliner,MIT,2019-09-30 11:33:28.000000,2021-03-26 07:19:57.000000,2020-02-14 09:03:27.000000,38,1.0,13.0,229.0,276.0,Easy training and deployment of seq2seq models.,2.0,16,False,2020-01-24 09:06:29.000000,1.0.2,30.0,headliner,,,,,4.0,3.0,https://pypi.org/project/headliner,2020-01-24 09:06:29.000000,1.0,321.0,321.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n811,skift,shaypal5/skift,,nlp,https://github.com/shaypal5/skift,https://github.com/shaypal5/skift,MIT,2018-02-03 11:37:21.000000,2021-03-31 10:11:28.000000,2021-03-31 10:11:20.000000,22,2.0,8.0,218.0,129.0,scikit-learn wrappers for Python fastText.,7.0,16,False,2020-08-27 15:01:05.000000,0.0.19,15.0,skift,,,,['sklearn'],8.0,8.0,https://pypi.org/project/skift,2020-08-27 15:01:05.000000,,554.0,554.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n812,Parfit,jmcarpenter2/parfit,,hyperopt,https://github.com/jmcarpenter2/parfit,https://github.com/jmcarpenter2/parfit,MIT,2017-11-22 20:17:51.000000,2020-04-04 19:26:44.000000,2020-04-04 19:26:37.000000,25,6.0,5.0,197.0,127.0,\"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..\",2.0,16,False,,,23.0,parfit,,,,['sklearn'],8.0,8.0,https://pypi.org/project/parfit,2018-10-11 22:03:16.000000,,13737.0,13737.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n813,dstack,dstackai/dstack,,others,https://github.com/dstackai/dstack,https://github.com/dstackai/dstack,Apache-2.0,2020-06-22 09:03:03.000000,2021-03-23 15:50:23.000000,2021-03-23 15:50:02.000000,11,21.0,122.0,186.0,639.0,An open-source tool to rapidly develop data applications with Python.,4.0,16,False,2021-03-04 19:20:57.000000,0.6.4,22.0,dstack,,,,,,,https://pypi.org/project/dstack,2021-03-23 15:46:40.000000,,170.0,170.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n814,skggm,skggm/skggm,,sklearn-utils,https://github.com/skggm/skggm,https://github.com/skggm/skggm,MIT,2016-06-11 18:35:56.000000,2020-12-24 08:36:00.000000,2020-12-24 05:43:15.000000,31,28.0,47.0,183.0,691.0,Scikit-learn compatible estimation of general graphical models.,5.0,16,False,2018-09-12 01:12:49.000000,0.2.8,6.0,skggm,,,,['sklearn'],8.0,6.0,https://pypi.org/project/skggm,2018-09-12 01:12:49.000000,2.0,89.0,89.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n815,nx-altair,Zsailer/nx_altair,,data-viz,https://github.com/Zsailer/nx_altair,https://github.com/Zsailer/nx_altair,MIT,2018-05-13 00:10:12.000000,2020-09-30 12:01:08.000000,2020-06-02 21:10:26.000000,21,6.0,4.0,167.0,51.0,Draw interactive NetworkX graphs with Altair.,3.0,16,False,2020-06-02 21:11:12.000000,0.1.6,8.0,nx-altair,,,,['jupyter'],4.0,,https://pypi.org/project/nx-altair,2020-06-02 21:11:12.000000,4.0,417.0,417.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n816,ipyexperiments,stas00/ipyexperiments,,gpu-utilities,https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40.000000,2021-03-28 18:24:12.000000,2021-03-28 18:23:45.000000,9,,4.0,135.0,196.0,jupyter/ipython experiment containers for GPU and general RAM re-use.,3.0,16,False,2021-03-28 03:39:09.000000,0.1.26,23.0,ipyexperiments,,,,['jupyter'],7.0,5.0,https://pypi.org/project/ipyexperiments,2021-03-28 03:39:09.000000,2.0,390.0,390.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n817,steppy,minerva-ml/steppy,,ml-experiments,https://github.com/minerva-ml/steppy,https://github.com/minerva-ml/steppy,MIT,2018-01-15 09:40:49.000000,2018-11-23 09:49:59.000000,2018-11-23 09:47:34.000000,31,16.0,50.0,127.0,69.0,\"Lightweight, Python library for fast and reproducible experimentation.\",5.0,16,False,2018-11-23 09:49:59.000000,0.1.16,16.0,steppy,,,,,44.0,39.0,https://pypi.org/project/steppy,2018-11-23 09:49:59.000000,5.0,142.0,142.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n818,celer,mathurinm/celer,,sklearn-utils,https://github.com/mathurinm/celer,https://github.com/mathurinm/celer,BSD-3-Clause,2018-02-20 19:37:31.000000,2021-04-16 13:53:18.000000,2021-04-16 13:43:48.000000,21,16.0,52.0,118.0,218.0,\"Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.\",9.0,16,False,2020-10-12 12:26:09.000000,0.5.1,10.0,celer,,,,['sklearn'],4.0,4.0,https://pypi.org/project/celer,2020-12-09 13:19:10.000000,,230.0,230.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n819,OpenNRE,thunlp/OpenNRE,,nlp,https://github.com/thunlp/OpenNRE,https://github.com/thunlp/OpenNRE,MIT,2017-02-26 07:37:12.000000,2021-06-21 10:38:53.000000,2021-05-31 02:53:22.000000,864,21.0,313.0,3193.0,158.0,An Open-Source Package for Neural Relation Extraction (NRE).,9.0,15,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n820,Torch-Struct,harvardnlp/pytorch-struct,,pytorch-utils,https://github.com/harvardnlp/pytorch-struct,https://github.com/harvardnlp/pytorch-struct,MIT,2019-08-26 19:34:30.000000,2021-05-09 17:27:03.000000,2021-05-09 17:25:02.000000,71,18.0,25.0,949.0,262.0,\"Fast, general, and tested differentiable structured prediction in PyTorch.\",13.0,15,True,2021-02-15 20:20:59.000000,0.5,2.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n821,torchsde,google-research/torchsde,,pytorch-utils,https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11.000000,2021-07-07 11:41:52.000000,2021-07-07 11:41:52.000000,76,6.0,32.0,769.0,154.0,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,5.0,15,True,2021-01-05 18:31:38.000000,0.2.4,4.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n822,MedicalTorch,perone/medicaltorch,,medical-data,https://github.com/perone/medicaltorch,https://github.com/perone/medicaltorch,Apache-2.0,2018-02-27 02:50:07.000000,2021-04-16 18:50:54.000000,2021-04-16 18:50:54.000000,109,14.0,9.0,737.0,57.0,A medical imaging framework for Pytorch.,8.0,15,True,2018-11-24 00:33:11.000000,0.2,2.0,medicaltorch,,,,['pytorch'],10.0,10.0,https://pypi.org/project/medicaltorch,2018-11-24 00:29:36.000000,,104.0,104.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n823,Translate,pytorch/translate,,nlp,https://github.com/pytorch/translate,https://github.com/pytorch/translate,BSD-3-Clause,2018-04-24 16:44:04.000000,2021-06-30 10:47:11.000000,2021-05-05 05:16:56.000000,167,66.0,27.0,701.0,807.0,Translate - a PyTorch Language Library.,86.0,15,True,,,1.0,pytorch-translate,,,,['pytorch'],,,https://pypi.org/project/pytorch-translate,2018-05-01 19:59:40.000000,,12.0,12.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n824,madgrad,facebookresearch/madgrad,,pytorch-utils,https://github.com/facebookresearch/madgrad,https://github.com/facebookresearch/madgrad,MIT,2021-01-12 19:41:06.000000,2021-04-01 13:54:29.000000,2021-04-01 13:46:36.000000,48,2.0,7.0,695.0,12.0,MADGRAD Optimization Method.,1.0,15,True,,,2.0,madgrad,,,,['pytorch'],13.0,13.0,https://pypi.org/project/madgrad,2021-04-01 13:54:29.000000,,4962.0,4962.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n825,HyperparameterHunter,HunterMcGushion/hyperparameter_hunter,,hyperopt,https://github.com/HunterMcGushion/hyperparameter_hunter,https://github.com/HunterMcGushion/hyperparameter_hunter,MIT,2018-06-01 23:17:00.000000,2021-01-20 03:52:41.000000,2021-01-20 03:52:40.000000,83,37.0,84.0,657.0,1096.0,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries.,4.0,15,True,2019-08-06 09:09:45.000000,3.0.0,16.0,hyperparameter-hunter,,,,,2.0,,https://pypi.org/project/hyperparameter-hunter,2019-08-06 08:52:20.000000,2.0,138.0,146.0,,,,,,,,3.0,292.0,,,,,,,,,,,,,,,,,,,,\n826,ThunderGBM,Xtra-Computing/thundergbm,,ml-frameworks,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08.000000,2021-04-01 02:08:51.000000,2021-01-05 04:22:15.000000,78,22.0,28.0,602.0,606.0,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,10.0,15,True,2020-05-01 23:16:25.000000,0.3.16,24.0,thundergbm,,,,,,,https://pypi.org/project/thundergbm,2020-05-01 23:16:25.000000,,97.0,97.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n827,tfdeploy,riga/tfdeploy,,model-serialisation,https://github.com/riga/tfdeploy,https://github.com/riga/tfdeploy,BSD-3-Clause,2016-03-07 13:08:21.000000,2021-01-08 09:52:54.000000,2021-01-08 09:52:49.000000,38,10.0,23.0,346.0,170.0,Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.,4.0,15,True,2017-03-30 10:51:26.000000,0.4.2,22.0,tfdeploy,,,,['tensorflow'],2.0,,https://pypi.org/project/tfdeploy,2017-03-30 10:51:26.000000,2.0,91.0,91.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n828,LOFO,aerdem4/lofo-importance,,interpretability,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46.000000,2021-01-27 13:57:42.000000,2020-07-02 11:49:52.000000,41,3.0,10.0,331.0,24.0,Leave One Feature Out Importance.,3.0,15,True,2020-07-02 11:44:57.000000,0.2.6,9.0,lofo-importance,,,,,4.0,4.0,https://pypi.org/project/lofo-importance,2020-07-02 11:44:57.000000,,147.0,147.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n829,TransferNLP,feedly/transfer-nlp,,nlp,https://github.com/feedly/transfer-nlp,https://github.com/feedly/transfer-nlp,MIT,2019-03-12 20:00:31.000000,2020-05-28 19:00:02.000000,2020-05-28 17:31:53.000000,18,4.0,20.0,287.0,465.0,NLP library designed for reproducible experimentation management.,7.0,15,False,2020-05-28 19:00:02.000000,0.1.6,8.0,transfer-nlp,,,,['pytorch'],,,https://pypi.org/project/transfer-nlp,2020-05-28 19:00:02.000000,,176.0,176.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n830,data-describe,data-describe/data-describe,,data-viz,https://github.com/data-describe/data-describe,https://github.com/data-describe/data-describe,Apache-2.0,2020-05-04 17:58:14.000000,2021-07-02 20:30:09.000000,2021-03-02 19:30:45.000000,15,69.0,175.0,284.0,695.0,datadescribe: Pythonic EDA Accelerator for Data Science.,14.0,15,False,,,5.0,data-describe,,,,,,,https://pypi.org/project/data-describe,2020-12-03 23:07:43.000000,,194.0,194.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n831,interpret-text,interpretml/interpret-text,,interpretability,https://github.com/interpretml/interpret-text,https://github.com/interpretml/interpret-text,MIT,2019-09-04 16:39:48.000000,2021-06-17 01:09:14.000000,2021-03-02 02:33:00.000000,48,30.0,16.0,257.0,143.0,A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the..,17.0,15,False,2020-05-20 23:42:32.000000,0.1.2,3.0,interpret-text,,,,['jupyter'],,,https://pypi.org/project/interpret-text,2020-05-20 23:42:32.000000,,120.0,120.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n832,NeuralQA,victordibia/neuralqa,,nlp,https://github.com/victordibia/neuralqa,https://github.com/victordibia/neuralqa,MIT,2020-05-19 03:55:56.000000,2021-06-08 12:29:19.000000,2020-12-16 17:41:37.000000,30,31.0,8.0,199.0,312.0,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,3.0,15,False,,,27.0,neuralqa,,,,,2.0,2.0,https://pypi.org/project/neuralqa,2020-09-18 17:54:50.000000,,136.0,136.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n833,backprop,backprop-ai/backprop,,model-serialisation,https://github.com/backprop-ai/backprop,https://github.com/backprop-ai/backprop,Apache-2.0,2020-10-30 15:25:14.000000,2021-05-03 09:15:25.000000,2021-05-03 09:15:21.000000,9,,4.0,193.0,,\"Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.\",8.0,15,False,2021-04-20 13:53:12.000000,0.1.2,14.0,backprop,,,,,,,https://pypi.org/project/backprop,2021-04-20 13:53:12.000000,,172.0,172.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n834,ONNX-T5,abelriboulot/onnxt5,,nlp,https://github.com/abelriboulot/onnxt5,https://github.com/abelriboulot/onnxt5,Apache-2.0,2020-08-01 09:38:35.000000,2021-01-28 09:26:15.000000,2021-01-28 09:24:52.000000,21,7.0,7.0,170.0,74.0,\"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..\",3.0,15,False,2021-01-28 09:26:15.000000,0.1.8,11.0,onnxt5,,,,,,,https://pypi.org/project/onnxt5,2021-01-28 09:26:15.000000,,191.0,191.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n835,TorchDrift,torchdrift/torchdrift,,pytorch-utils,https://github.com/TorchDrift/TorchDrift,https://github.com/TorchDrift/TorchDrift,Apache-2.0,2021-02-10 09:27:48.000000,2021-06-29 11:52:29.000000,2021-06-29 11:52:29.000000,4,1.0,3.0,159.0,33.0,Drift Detection for your PyTorch Models.,2.0,15,False,2021-03-08 12:21:48.000000,0.1.0,3.0,torchdrift,,,,['pytorch'],8.0,8.0,https://pypi.org/project/torchdrift,2021-03-08 12:51:05.000000,,219.0,219.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n836,ModelChimp,ModelChimp/modelchimp,,ml-experiments,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03.000000,2021-07-07 15:36:42.000000,2021-02-15 13:37:13.000000,12,4.0,10.0,121.0,361.0,Experiment tracking for machine and deep learning projects.,3.0,15,False,2019-04-09 10:43:15.000000,0.4.0,37.0,modelchimp,,modelchimp/modelchimp-server,,,,,https://pypi.org/project/modelchimp,2019-04-09 10:41:20.000000,,142.0,161.0,,,,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,638.0,3.0,,,,,,,,,,,,,,,,,,,,,\n837,Euler,alibaba/euler,,graph,https://github.com/alibaba/euler,https://github.com/alibaba/euler,Apache-2.0,2019-01-10 06:32:32.000000,2021-04-19 11:30:28.000000,2020-07-29 05:53:01.000000,516,210.0,102.0,2604.0,8.0,A distributed graph deep learning framework.,5.0,14,True,2020-07-07 02:24:18.000000,2.0.0,2.0,euler-gl,,,,['tensorflow'],,,https://pypi.org/project/euler-gl,2019-04-10 01:53:45.000000,,16.0,16.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n838,GraphSAGE,williamleif/GraphSAGE,,graph,https://github.com/williamleif/GraphSAGE,https://github.com/williamleif/GraphSAGE,MIT,2017-05-29 15:36:22.000000,2021-05-21 14:52:52.000000,2018-09-19 19:27:00.000000,661,85.0,58.0,2389.0,59.0,Representation learning on large graphs using stochastic graph convolutions.,9.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n839,ZhuSuan,thu-ml/zhusuan,,probabilistics,https://github.com/thu-ml/zhusuan,https://github.com/thu-ml/zhusuan,MIT,2016-07-18 13:31:38.000000,2020-01-09 14:51:27.000000,2019-08-05 10:00:04.000000,392,8.0,53.0,2055.0,439.0,\"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.\",20.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n840,micrograd,karpathy/micrograd,,pytorch-utils,https://github.com/karpathy/micrograd,https://github.com/karpathy/micrograd,MIT,2020-04-13 04:31:18.000000,2021-06-24 12:28:13.000000,2020-04-18 19:15:25.000000,137,2.0,3.0,1751.0,24.0,A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.,2.0,14,False,2020-04-18 19:06:59.000000,0.1.0,1.0,micrograd,,,,['pytorch'],1.0,1.0,https://pypi.org/project/micrograd,2020-04-18 19:06:59.000000,0.0,56.0,56.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n841,Anchor,marcotcr/anchor,,interpretability,https://github.com/marcotcr/anchor,https://github.com/marcotcr/anchor,BSD-2-Clause,2018-02-02 23:38:50.000000,2021-04-19 22:37:30.000000,2021-04-19 22:37:22.000000,89,16.0,46.0,651.0,42.0,Code for High-Precision Model-Agnostic Explanations paper.,8.0,14,True,,,8.0,anchor_exp,,,,,,,https://pypi.org/project/anchor_exp,2020-06-26 20:56:50.000000,,671.0,671.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n842,AutoGL,THUMNLab/AutoGL,,graph,https://github.com/THUMNLab/AutoGL,https://github.com/THUMNLab/AutoGL,MIT,2020-11-30 14:26:22.000000,2021-07-08 03:10:11.000000,2021-04-10 10:49:50.000000,69,5.0,7.0,649.0,,An autoML framework & toolkit for machine learning on graphs.,5.0,14,True,2020-12-23 08:15:15.000000,0.1.1,2.0,auto-graph-learning,,,,['pytorch'],,,https://pypi.org/project/auto-graph-learning,2020-12-23 08:05:25.000000,,68.0,68.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n843,cuSignal,rapidsai/cusignal,,gpu-utilities,https://github.com/rapidsai/cusignal,https://github.com/rapidsai/cusignal,Apache-2.0,2019-08-22 14:27:27.000000,2021-06-30 10:05:34.000000,2021-06-24 20:32:10.000000,66,15.0,103.0,505.0,,GPU accelerated signal processing.,31.0,14,True,2021-06-09 16:42:33.000000,21.06.00,7.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n844,PandaPy,firmai/pandapy,,data-containers,https://github.com/firmai/pandapy,https://github.com/firmai/pandapy,MIT,2020-01-15 18:21:23.000000,2021-06-06 06:59:37.000000,2020-11-12 16:18:44.000000,49,2.0,1.0,478.0,83.0,PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai).,3.0,14,True,2020-11-12 16:12:54.000000,zen,22.0,pandapy,,,,['pandas'],1.0,1.0,https://pypi.org/project/pandapy,2020-01-25 23:10:32.000000,,68.0,68.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n845,textflint,textflint/textflint,,adversarial,https://github.com/textflint/textflint,https://github.com/textflint/textflint,GPL-3.0,2021-03-06 11:15:52.000000,2021-07-08 14:12:14.000000,2021-07-08 13:51:51.000000,68,1.0,14.0,470.0,148.0,Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing.,11.0,14,False,2021-07-08 14:12:14.000000,0.0.4,3.0,textflint,,,,,1.0,1.0,https://pypi.org/project/textflint,2021-04-21 06:40:06.000000,,98.0,98.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n846,Adversary,airbnb/artificial-adversary,,adversarial,https://github.com/airbnb/artificial-adversary,https://github.com/airbnb/artificial-adversary,MIT,2018-08-08 04:42:11.000000,2018-10-14 05:34:44.000000,2018-08-29 15:31:30.000000,51,6.0,,351.0,15.0,Tool to generate adversarial text examples and test machine learning models against them.,5.0,14,False,2018-08-29 15:14:41.000000,1.1.1,3.0,Adversary,,,,,6.0,6.0,https://pypi.org/project/Adversary,2018-08-29 15:14:41.000000,0.0,87.0,87.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n847,tsaug,arundo/tsaug,,time-series-data,https://github.com/arundo/tsaug,https://github.com/arundo/tsaug,Apache-2.0,2019-09-27 00:38:05.000000,2020-04-17 02:55:58.000000,2020-04-17 02:46:38.000000,19,6.0,3.0,199.0,10.0,A Python package for time series augmentation.,4.0,14,False,2020-04-17 02:50:25.000000,0.2.1,4.0,tsaug,,,,,,,https://pypi.org/project/tsaug,2020-04-17 02:50:25.000000,,1495.0,1495.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n848,launchpad,deepmind/launchpad,,distributed-ml,https://github.com/deepmind/launchpad,https://github.com/deepmind/launchpad,Apache-2.0,2021-02-18 15:16:49.000000,2021-07-06 08:51:14.000000,2021-07-06 08:50:31.000000,11,2.0,9.0,194.0,108.0,Launchpad is a library that simplifies writing distributed programs and seamlessly launching them on a range of..,10.0,14,False,2021-05-19 06:05:12.000000,0.3.0,3.0,dm-launchpad,,,,['tensorflow'],,,https://pypi.org/project/dm-launchpad,2021-05-19 06:05:12.000000,,127.0,127.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n849,textvec,textvec/textvec,,nlp,https://github.com/textvec/textvec,https://github.com/textvec/textvec,MIT,2018-04-12 14:03:53.000000,2020-12-03 14:23:11.000000,2020-12-03 14:23:04.000000,21,2.0,6.0,173.0,70.0,Text vectorization tool to outperform TFIDF for classification tasks.,4.0,14,False,2019-09-12 07:41:04.000000,2.0,4.0,textvec,,,,['sklearn'],4.0,4.0,https://pypi.org/project/textvec,2020-12-03 14:17:09.000000,,134.0,134.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n850,Auptimizer,LGE-ARC-AdvancedAI/auptimizer,,hyperopt,https://github.com/LGE-ARC-AdvancedAI/auptimizer,https://github.com/LGE-ARC-AdvancedAI/auptimizer,GPL-3.0,2019-09-12 01:08:37.000000,2021-05-21 14:45:19.000000,2021-03-03 01:30:06.000000,21,1.0,5.0,170.0,79.0,An automatic ML model optimization tool.,11.0,14,False,2021-03-03 02:00:23.000000,2.0,7.0,auptimizer,,,,,,,https://pypi.org/project/auptimizer,2021-03-02 02:40:32.000000,,117.0,117.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n851,DeepNeuro,QTIM-Lab/DeepNeuro,,medical-data,https://github.com/QTIM-Lab/DeepNeuro,https://github.com/QTIM-Lab/DeepNeuro,MIT,2017-06-01 19:36:34.000000,2020-06-24 13:00:15.000000,2020-06-24 13:00:14.000000,32,27.0,16.0,104.0,285.0,A deep learning python package for neuroimaging data. Made by:.,6.0,14,False,2019-06-10 21:04:04.000000,0.2.3,6.0,deepneuro,,,,,1.0,1.0,https://pypi.org/project/deepneuro,2019-06-10 21:04:04.000000,,62.0,62.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n852,Hypermax,electricbrainio/hypermax,,hyperopt,https://github.com/electricbrainio/hypermax,https://github.com/electricbrainio/hypermax,BSD-3-Clause,2018-07-27 18:43:01.000000,2020-08-02 18:08:50.000000,2020-08-02 18:08:46.000000,14,3.0,1.0,96.0,207.0,\"Better, faster hyper-parameter optimization.\",9.0,14,False,2019-10-23 15:40:12.000000,0.5.1,11.0,hypermax,,,,,4.0,4.0,https://pypi.org/project/hypermax,2019-10-23 15:40:12.000000,,50.0,50.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n853,contextual-ai,SAP/contextual-ai,,interpretability,https://github.com/SAP/contextual-ai,https://github.com/SAP/contextual-ai,Apache-2.0,2020-05-12 07:15:56.000000,2021-03-25 23:48:34.000000,2021-01-25 04:03:23.000000,9,5.0,1.0,69.0,621.0,\"Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference -..\",10.0,14,False,2021-01-25 04:56:57.000000,0.0.2,2.0,contextual-ai,,,,,,,https://pypi.org/project/contextual-ai,2021-01-25 04:56:57.000000,,217.0,217.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n854,nptsne,biovault/nptsne,,data-viz,https://github.com/biovault/nptsne,https://github.com/biovault/nptsne,Apache-2.0,2019-06-28 08:40:25.000000,2021-06-30 15:55:11.000000,2021-02-03 08:52:27.000000,2,6.0,5.0,25.0,857.0,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,3.0,14,False,2020-09-10 23:54:14.000000,1.1.0,2.0,nptsne,,,,,3.0,3.0,https://pypi.org/project/nptsne,2020-09-10 23:54:14.000000,,104.0,104.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n855,StarSpace,facebookresearch/StarSpace,,ml-frameworks,https://github.com/facebookresearch/StarSpace,https://github.com/facebookresearch/StarSpace,MIT,2017-06-28 17:50:18.000000,2021-04-23 05:17:29.000000,2019-12-13 19:03:25.000000,494,50.0,147.0,3627.0,138.0,\"Learning embeddings for classification, retrieval and ranking.\",17.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n856,OpenKE,thunlp/OpenKE,,graph,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,MIT,2017-10-08 11:20:23.000000,2021-04-06 08:24:33.000000,2021-04-06 08:24:50.000000,796,65.0,231.0,2621.0,97.0,An Open-Source Package for Knowledge Embedding (KE).,10.0,13,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n857,ENAS,carpedm20/ENAS-pytorch,,hyperopt,https://github.com/carpedm20/ENAS-pytorch,https://github.com/carpedm20/ENAS-pytorch,Apache-2.0,2018-02-15 04:54:37.000000,2020-12-09 18:13:03.000000,2020-06-16 07:23:32.000000,451,37.0,7.0,2449.0,53.0,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,6.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n858,OpenNE,thunlp/OpenNE,,graph,https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20.000000,2021-03-22 13:16:57.000000,2019-08-12 10:56:27.000000,454,50.0,82.0,1476.0,98.0,An Open-Source Package for Network Embedding (NE).,10.0,13,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n859,Medical Detection Toolkit,MIC-DKFZ/medicaldetectiontoolkit,,medical-data,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,Apache-2.0,2018-10-12 12:34:57.000000,2021-06-08 20:55:07.000000,2021-05-31 17:04:14.000000,253,34.0,85.0,999.0,38.0,\"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..\",3.0,13,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n860,deltapy,firmai/deltapy,,tabular,https://github.com/firmai/deltapy,https://github.com/firmai/deltapy,MIT,2020-04-08 05:27:53.000000,2021-01-21 16:27:58.000000,2021-01-21 16:27:57.000000,33,2.0,,357.0,37.0,DeltaPy - Tabular Data Augmentation (by @firmai).,4.0,13,True,2020-11-12 16:13:21.000000,zen,11.0,deltapy,,,,,2.0,2.0,https://pypi.org/project/deltapy,2020-04-09 01:48:32.000000,,59.0,59.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n861,pykale,pykale/pykale,,others,https://github.com/pykale/pykale,https://github.com/pykale/pykale,MIT,2020-06-30 08:06:10.000000,2021-07-06 19:25:29.000000,2021-07-06 19:25:28.000000,20,8.0,22.0,236.0,,Knowledge-Aware machine LEarning (KALE) from multiple sources in Python.,12.0,13,False,2021-06-21 08:53:21.000000,0.1.0rc2,6.0,pykale,,,,['pytorch'],,,https://pypi.org/project/pykale,2021-06-21 08:54:23.000000,,134.0,134.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n862,fastT5,Ki6an/fastT5,,nlp,https://github.com/Ki6an/fastT5,https://github.com/Ki6an/fastT5,Apache-2.0,2021-03-11 08:46:42.000000,2021-07-02 15:12:04.000000,2021-04-09 16:09:22.000000,16,9.0,9.0,181.0,6.0,boost inference speed of T5 models by 5x & reduce the model size by 3x.,1.0,13,False,2021-04-09 16:14:11.000000,0.0.5,5.0,fastt5,,,,,1.0,1.0,https://pypi.org/project/fastt5,2021-04-09 16:14:11.000000,,699.0,699.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n863,numerizer,jaidevd/numerizer,,nlp,https://github.com/jaidevd/numerizer,https://github.com/jaidevd/numerizer,MIT,2019-12-02 07:00:34.000000,2021-04-04 05:05:33.000000,2021-04-03 04:27:49.000000,7,1.0,4.0,115.0,17.0,A Python module to convert natural language numerics into ints and floats.,2.0,13,False,2021-04-03 04:33:45.000000,0.2.0,8.0,numerizer,,,,,8.0,8.0,https://pypi.org/project/numerizer,2021-04-03 04:33:45.000000,,216.0,216.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n864,Attribution Priors,suinleelab/attributionpriors,,interpretability,https://github.com/suinleelab/attributionpriors,https://github.com/suinleelab/attributionpriors,MIT,2019-06-24 23:54:24.000000,2021-03-19 19:43:58.000000,2021-03-19 19:43:51.000000,7,1.0,3.0,83.0,72.0,Tools for training explainable models using attribution priors.,6.0,13,False,2021-03-16 17:47:18.000000,1.0.0,4.0,attributionpriors,,,,\"['tensorflow', 'pytorch']\",2.0,2.0,https://pypi.org/project/attributionpriors,2019-10-31 18:03:05.000000,,47.0,47.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n865,featurewiz,AutoViML/featurewiz,,hyperopt,https://github.com/AutoViML/featurewiz,https://github.com/AutoViML/featurewiz,Apache-2.0,2020-11-29 16:46:16.000000,2021-07-08 11:39:19.000000,2021-07-08 11:26:52.000000,18,2.0,1.0,65.0,,Use advanced feature engineering strategies and select the best features from your data set fast with a single line of..,2.0,13,False,2021-07-08 11:39:19.000000,0.0.39,39.0,featurewiz,,,,,,,https://pypi.org/project/featurewiz,2021-07-08 11:39:19.000000,,913.0,913.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n866,nylon,Palashio/nylon,,others,https://github.com/Palashio/nylon,https://github.com/Palashio/nylon,MIT,2021-06-04 17:33:49.000000,2021-06-29 15:05:17.000000,2021-06-29 15:05:17.000000,6,14.0,17.0,60.0,,\"An intelligent, flexible grammar of machine learning.\",3.0,13,False,2021-06-25 14:27:32.000000,0.0.7,8.0,nylon-ai,,,,,,,https://pypi.org/project/nylon-ai,2021-06-25 14:27:32.000000,,404.0,404.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n867,surpriver,tradytics/surpriver,,financial-data,https://github.com/tradytics/surpriver,https://github.com/tradytics/surpriver,GPL-3.0,2020-08-30 07:56:22.000000,2020-11-13 00:48:16.000000,2020-09-21 04:32:05.000000,236,10.0,5.0,1249.0,64.0,Find big moving stocks before they move using machine learning and anomaly detection.,6.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n868,MedicalNet,Tencent/MedicalNet,,medical-data,https://github.com/Tencent/MedicalNet,https://github.com/Tencent/MedicalNet,MIT,2019-07-17 09:53:10.000000,2020-08-27 13:37:27.000000,2020-08-27 13:37:26.000000,318,47.0,14.0,1143.0,26.0,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,1.0,12,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n869,GraphVite,DeepGraphLearning/graphvite,,graph,https://github.com/DeepGraphLearning/graphvite,https://github.com/DeepGraphLearning/graphvite,Apache-2.0,2019-07-16 15:48:20.000000,2021-01-14 02:19:03.000000,2021-01-14 02:18:46.000000,122,29.0,56.0,915.0,15.0,GraphVite: A General and High-performance Graph Embedding System.,1.0,12,True,,,4.0,,milagraph/graphvite,,,,,,,,,,165.0,https://anaconda.org/milagraph/graphvite,2020-03-19 18:21:30.972000,3806.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n870,BLINK,facebookresearch/BLINK,,nlp,https://github.com/facebookresearch/BLINK,https://github.com/facebookresearch/BLINK,MIT,2019-09-25 21:27:44.000000,2021-04-02 03:03:43.000000,2021-04-02 03:03:34.000000,106,33.0,28.0,659.0,211.0,Entity Linker solution.,16.0,12,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n871,autodist,petuum/autodist,,distributed-ml,https://github.com/petuum/autodist,https://github.com/petuum/autodist,Apache-2.0,2020-06-29 19:45:38.000000,2021-04-12 21:55:36.000000,2021-01-28 00:04:40.000000,20,11.0,1.0,100.0,208.0,Simple Distributed Deep Learning on TensorFlow.,11.0,12,False,,,2.0,autodist,,,,['tensorflow'],,,https://pypi.org/project/autodist,2020-07-16 05:36:19.000000,,35.0,35.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n872,LazyCluster,ml-tooling/lazycluster,,distributed-ml,https://github.com/ml-tooling/lazycluster,https://github.com/ml-tooling/lazycluster,Apache-2.0,2019-08-07 08:05:13.000000,2021-07-08 02:10:45.000000,2020-12-14 15:24:53.000000,6,,,40.0,,Distributed machine learning made simple.,2.0,12,False,2020-12-14 15:25:59.000000,0.2.4,5.0,lazycluster,,,,,6.0,6.0,https://pypi.org/project/lazycluster,2020-12-14 14:49:33.000000,,95.0,95.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n873,spacy-dbpedia-spotlight,MartinoMensio/spacy-dbpedia-spotlight,,nlp,https://github.com/MartinoMensio/spacy-dbpedia-spotlight,https://github.com/MartinoMensio/spacy-dbpedia-spotlight,MIT,2020-04-29 19:35:04.000000,2021-04-12 13:38:53.000000,2021-04-12 13:38:47.000000,4,5.0,,36.0,13.0,A spaCy wrapper for DBpedia Spotlight.,1.0,12,False,2021-04-12 13:25:07.000000,0.2.1,6.0,spacy-dbpedia-spotlight,,,,['spacy'],,,https://pypi.org/project/spacy-dbpedia-spotlight,2021-04-09 13:21:45.000000,,234.0,234.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n874,bias-detector,intuit/bias-detector,,interpretability,https://github.com/intuit/bias-detector,https://github.com/intuit/bias-detector,MIT,2021-02-02 16:58:52.000000,2021-06-01 09:13:29.000000,2021-06-01 09:12:00.000000,7,,,34.0,,Bias Detector is a python package for detecting bias in machine learning models.,4.0,12,False,2021-04-22 15:20:54.000000,0.0.12,11.0,bias-detector,,,,,,,https://pypi.org/project/bias-detector,2021-04-22 15:20:54.000000,,113.0,113.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n875,model_search,google/model_search,,hyperopt,https://github.com/google/model_search,https://github.com/google/model_search,Apache-2.0,2021-01-19 18:26:34.000000,2021-03-28 10:43:16.000000,2021-03-17 17:06:04.000000,297,33.0,13.0,3092.0,8.0,AutoML algorithms for model architecture search at scale.,1.0,11,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n876,traingenerator,jrieke/traingenerator,,others,https://github.com/jrieke/traingenerator,https://github.com/jrieke/traingenerator,MIT,2020-12-03 16:47:16.000000,2021-06-28 17:42:41.000000,2021-04-29 13:46:13.000000,136,9.0,3.0,1032.0,,A web app to generate template code for machine learning.,3.0,11,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n877,Devol,joeddav/devol,,hyperopt,https://github.com/joeddav/devol,https://github.com/joeddav/devol,MIT,2017-02-10 03:07:54.000000,2020-07-05 21:56:59.000000,2020-07-05 21:56:58.000000,109,7.0,20.0,932.0,116.0,Genetic neural architecture search with Keras.,18.0,11,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n878,PySparNN,facebookresearch/pysparnn,,nn-search,https://github.com/facebookresearch/pysparnn,https://github.com/facebookresearch/pysparnn,BSD-3-Clause,2016-03-28 20:43:42.000000,2020-10-02 06:01:01.000000,2018-01-31 16:50:23.000000,142,15.0,14.0,878.0,147.0,Approximate Nearest Neighbor Search for Sparse Data in Python!.,5.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n879,Mozart,aashrafh/Mozart,,ocr,https://github.com/aashrafh/Mozart,https://github.com/aashrafh/Mozart,Apache-2.0,2020-12-14 11:49:14.000000,2021-05-05 17:21:44.000000,2021-05-05 17:21:44.000000,40,2.0,2.0,274.0,,An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.,5.0,11,False,,,,,,,,['sklearn'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n880,Maze,enlite-ai/maze,,reinforcement-learning,https://github.com/enlite-ai/maze,https://github.com/enlite-ai/maze,Custom,2021-02-11 08:26:37.000000,2021-07-08 08:44:02.000000,2021-06-24 20:06:29.000000,2,,1.0,140.0,,Maze Applied Reinforcement Learning Framework.,3.0,11,False,2021-06-24 20:08:22.000000,0.1.7,18.0,maze-rl,,enliteai/maze,,['pytorch'],1.0,1.0,https://pypi.org/project/maze-rl,2021-06-24 20:28:17.000000,,175.0,219.0,,,,https://hub.docker.com/r/enliteai/maze,2021-06-24 21:00:27.801118,,223.0,3.0,,,,,,,,,,,,,,,,,,,,,\n881,Hypertunity,gdikov/hypertunity,,hyperopt,https://github.com/gdikov/hypertunity,https://github.com/gdikov/hypertunity,Apache-2.0,2019-06-02 12:04:55.000000,2020-01-26 23:14:49.000000,2020-01-26 22:53:29.000000,9,,2.0,121.0,64.0,A toolset for black-box hyperparameter optimisation.,2.0,11,False,2020-01-26 23:08:16.000000,1.0.1,7.0,hypertunity,,,,,2.0,2.0,https://pypi.org/project/hypertunity,2020-01-26 23:08:16.000000,,28.0,28.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n882,traintool,jrieke/traintool,,ml-experiments,https://github.com/jrieke/traintool,https://github.com/jrieke/traintool,Apache-2.0,2020-09-30 22:23:05.000000,2021-03-12 01:44:04.000000,2021-03-12 01:43:14.000000,1,,,9.0,122.0,Train off-the-shelf machine learning models in one line of code.,,10,False,2020-11-02 02:25:32.000000,0.0.3,3.0,traintool,,,,\"['pytorch', 'tensorflow', 'sklearn']\",,,https://pypi.org/project/traintool,2020-11-02 02:25:32.000000,,58.0,58.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n883,Lea,,,probabilistics,,http://bitbucket.org/piedenis/lea,GPL-3.0,,2020-11-13 19:50:21.000000,,3,,,,,Discrete probability distributions in Python.,,10,False,2020-11-13 19:50:21.000000,3.4.0,50.0,lea,,,,,21.0,,https://pypi.org/project/lea,2020-11-13 19:50:21.000000,21.0,1267.0,1267.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,piedenis/lea\n"
  },
  {
    "path": "history/2021-07-15_changes.md",
    "content": "## 📈 Trending Up\n\n_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._\n\n- <b><a href=\"https://github.com/onnx/onnx\">onnx</a></b> (🥇35 ·  ⭐ 11K · 📈) - Open standard for machine learning interoperability. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/apache/airflow\">Airflow</a></b> (🥇33 ·  ⭐ 23K · 📈) - Platform to programmatically author, schedule, and monitor.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/tensorflow/tensor2tensor\">tensor2tensor</a></b> (🥇33 ·  ⭐ 11K · 📈) - Library of deep learning models and datasets designed.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/geopy/geopy\">geopy</a></b> (🥇33 ·  ⭐ 3.4K · 📈) - Geocoding library for Python. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/tensorflow/hub\">tensorflow-hub</a></b> (🥇33 ·  ⭐ 2.9K · 📈) - A library for transfer learning by reusing parts of.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/mozilla/DeepSpeech\">DeepSpeech</a></b> (🥇30 ·  ⭐ 18K · 📈) - DeepSpeech is an open source embedded (offline, on-.. <code><a href=\"http://bit.ly/3postzC\">MPL-2.0</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/ipazc/mtcnn\">mtcnn</a></b> (🥈26 ·  ⭐ 1.6K · 📈) - MTCNN face detection implementation for TensorFlow, as a PIP.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/Project-MONAI/MONAI\">MONAI</a></b> (🥈24 ·  ⭐ 2.1K · 📈) - AI Toolkit for Healthcare Imaging. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/rwightman/gen-efficientnet-pytorch\">EfficientNets</a></b> (🥈23 ·  ⭐ 1.4K · 📈) - Pretrained EfficientNet, EfficientNet-Lite, MixNet,.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/facebookresearch/AugLy\">AugLy</a></b> (🥉19 ·  ⭐ 3.6K · 🐣) - A data augmentations library for audio, image, text, and video. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n\n## 📉 Trending Down\n\n_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._\n\n- <b><a href=\"https://github.com/ageitgey/face_recognition\">Face Recognition</a></b> (🥈29 ·  ⭐ 41K · 📉) - The world's simplest facial recognition api for.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/simonw/datasette\">Datasette</a></b> (🥇28 ·  ⭐ 5.2K · 📉) - An open source multi-tool for exploring and publishing data. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/google/flax\">Flax</a></b> (🥉27 ·  ⭐ 1.9K · 📉) - Flax is a neural network library for JAX that is designed for.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code>jax</code>\n- <b><a href=\"https://github.com/snakemake/snakemake\">snakemake</a></b> (🥈26 ·  ⭐ 1K · 📉) - This is the development home of the workflow management system.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/great-expectations/great_expectations\">Great Expectations</a></b> (🥉24 ·  ⭐ 4.7K · 📉) - Always know what to expect from your data. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/DistrictDataLabs/yellowbrick\">yellowbrick</a></b> (🥈24 ·  ⭐ 3.3K · 📉) - Visual analysis and diagnostic tools to facilitate.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/tensortrade-org/tensortrade\">TensorTrade</a></b> (🥉23 ·  ⭐ 3.3K · 📉) - An open source reinforcement learning framework for.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/nyu-mll/jiant\">jiant</a></b> (🥉21 ·  ⭐ 1.3K · 📉) - jiant is an nlp toolkit. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/BorealisAI/advertorch\">advertorch</a></b> (🥉19 ·  ⭐ 890 · 💀) - A Toolbox for Adversarial Robustness Research. <code><a href=\"http://bit.ly/2M0xdwT\">❗️GPL-3.0</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/jasmcaus/caer\">Caer</a></b> (🥉19 ·  ⭐ 520 · 📉) - A lightweight Computer Vision library. Scale your models, not boilerplate. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n\n"
  },
  {
    "path": "history/2021-07-15_projects.csv",
    "content": ",name,github_id,resource,category,github_url,homepage,license,created_at,updated_at,last_commit_pushed_at,fork_count,open_issue_count,closed_issue_count,star_count,commit_count,description,contributor_count,projectrank,show,latest_stable_release_published_at,latest_stable_release_number,release_count,pypi_id,conda_id,dockerhub_id,docs_url,labels,dependent_project_count,github_dependent_project_count,pypi_url,pypi_latest_release_published_at,pypi_dependent_project_count,pypi_monthly_downloads,monthly_downloads,conda_url,conda_latest_release_published_at,conda_total_downloads,dockerhub_url,dockerhub_latest_release_published_at,dockerhub_stars,dockerhub_pulls,projectrank_placing,github_release_downloads,helm_id,npm_id,npm_url,npm_latest_release_published_at,npm_dependent_project_count,npm_monthly_downloads,trending,conda_dependent_project_count,brew_id,apt_id,yum_id,updated_github_id,snap_id,dnf_id,yay_id,maven_id,maven_url,maven_latest_release_published_at,maven_dependent_project_count,bitbucket_id\n0,ANN Benchmarks,erikbern/ann-benchmarks,True,nn-search,https://github.com/erikbern/ann-benchmarks,https://github.com/erikbern/ann-benchmarks,MIT,2015-05-28 13:21:43.000000,2021-07-13 15:32:05.000000,2021-07-13 15:32:05.000000,382,35.0,65.0,2345.0,1224.0,Benchmarks of approximate nearest neighbor libraries in Python.,59.0,0,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n1,best-of-web-python - Web Scraping,ml-tooling/best-of-web-python,True,web-scraping,https://github.com/ml-tooling/best-of-web-python,https://github.com/ml-tooling/best-of-web-python#web-scraping--crawling,CC-BY-SA-4.0,2021-01-05 13:09:27.000000,2021-07-15 14:18:12.000000,2021-07-11 17:24:15.000000,84,,2.0,1283.0,,Collection of web-scraping and crawling libraries.,6.0,0,True,2021-07-11 17:24:21.000000,2021.07.08,20.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n2,best-of-python - Data Extraction,ml-tooling/best-of-python,True,data-loading,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-loading--extraction,CC-BY-SA-4.0,2021-01-11 19:11:32.000000,2021-07-15 15:07:41.000000,2021-07-11 17:24:40.000000,134,1.0,4.0,1690.0,,Collection of data-loading and -extraction libraries.,5.0,0,True,2021-07-11 17:24:46.000000,2021.07.08,21.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n3,best-of-python - DB Clients,ml-tooling/best-of-python,True,db-clients,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#database-clients,CC-BY-SA-4.0,2021-01-11 19:11:32.000000,2021-07-15 15:07:41.000000,2021-07-11 17:24:40.000000,134,1.0,4.0,1690.0,,Collection of database clients for python.,5.0,0,True,2021-07-11 17:24:46.000000,2021.07.08,21.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n4,Tensorflow,tensorflow/tensorflow,,ml-frameworks,https://github.com/tensorflow/tensorflow,https://github.com/tensorflow/tensorflow,Apache-2.0,2015-11-07 01:19:20.000000,2021-07-15 13:55:09.000000,2021-07-15 13:54:23.000000,85110,3599.0,28816.0,159323.0,114229.0,An Open Source Machine Learning Framework for Everyone.,3737.0,44,True,2021-06-15 21:29:30.000000,2.4.2,127.0,tensorflow,conda-forge/tensorflow,tensorflow/tensorflow,https://www.tensorflow.org/overview,['tensorflow'],170772.0,148248.0,https://pypi.org/project/tensorflow,2021-07-13 17:43:31.000000,22524.0,10431494.0,11293038.0,https://anaconda.org/conda-forge/tensorflow,2021-04-30 05:11:44.185000,2664876.0,https://hub.docker.com/r/tensorflow/tensorflow,2021-07-15 13:35:13.458091,1927.0,55753622.0,1.0,,,,,,,,,,,,,,,,,,,,,\n5,pandas,pandas-dev/pandas,,data-containers,https://github.com/pandas-dev/pandas,https://github.com/pandas-dev/pandas,BSD-3-Clause,2010-08-24 01:37:33.000000,2021-07-15 12:25:41.000000,2021-07-15 04:24:14.000000,12677,3625.0,17409.0,30359.0,27302.0,\"Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R..\",2720.0,43,True,2021-07-02 11:59:11.000000,1.3.0,94.0,pandas,conda-forge/pandas,,,['pandas'],564981.0,488197.0,https://pypi.org/project/pandas,2021-07-02 11:59:11.000000,76784.0,55576014.0,55862575.0,https://anaconda.org/conda-forge/pandas,2021-07-02 16:54:16.536000,17689086.0,,,,,1.0,112944.0,,,,,,,,,,,,,,,,,,,,\n6,Matplotlib,matplotlib/matplotlib,,data-viz,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,Python-2.0,2011-02-19 03:17:12.000000,2021-07-15 13:47:08.000000,2021-07-14 22:21:30.000000,5828,1665.0,6375.0,13903.0,39613.0,matplotlib: plotting with Python.,1253.0,42,True,2021-05-08 05:47:47.000000,3.4.2,68.0,matplotlib,conda-forge/matplotlib,,,,479557.0,400453.0,https://pypi.org/project/matplotlib,2021-05-08 05:47:47.000000,79104.0,27017776.0,27150782.0,https://anaconda.org/conda-forge/matplotlib,2021-05-10 22:47:57.893000,9310462.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n7,scipy,scipy/scipy,,others,https://github.com/scipy/scipy,https://github.com/scipy/scipy,BSD-3-Clause,2011-03-09 18:52:03.000000,2021-07-15 09:52:04.000000,2021-07-15 09:52:04.000000,3759,1676.0,6010.0,8380.0,26050.0,\"Ecosystem of open-source software for mathematics, science, and engineering.\",1140.0,42,True,2021-06-20 17:06:43.000000,1.7.0,66.0,scipy,conda-forge/scipy,,,,457685.0,370823.0,https://pypi.org/project/scipy,2021-06-20 16:11:56.000000,86862.0,32761309.0,33024103.0,https://anaconda.org/conda-forge/scipy,2021-06-28 11:17:50.807000,16016339.0,,,,,1.0,321621.0,,,,,,,,,,,,,,,,,,,,\n8,PyTorch,pytorch/pytorch,,ml-frameworks,https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41.000000,2021-07-15 13:51:38.000000,2021-07-15 02:48:00.000000,13115,9073.0,14765.0,49485.0,38499.0,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,2762.0,41,True,2021-06-15 16:06:52.000000,1.9.0,33.0,torch,pytorch/pytorch,,https://pytorch.org/docs/stable/index.html,['pytorch'],93001.0,86319.0,https://pypi.org/project/torch,2021-06-15 15:09:35.000000,6682.0,4436080.0,4706806.0,https://anaconda.org/pytorch/pytorch,2021-06-15 16:26:06.511000,11911946.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n9,Celery,celery/celery,,data-pipelines,https://github.com/celery/celery,https://github.com/celery/celery,BSD-3-Clause,2009-04-24 11:31:24.000000,2021-07-14 00:18:23.000000,2021-07-14 00:18:18.000000,4037,517.0,4027.0,17596.0,11648.0,Asynchronous task queue/job queue based on distributed message passing.,1126.0,40,True,2021-07-12 14:26:26.000000,5.1.2,178.0,celery,conda-forge/celery,,,,83656.0,55422.0,https://pypi.org/project/celery,2021-06-28 13:14:23.000000,28234.0,5017834.0,5026340.0,https://anaconda.org/conda-forge/celery,2021-06-29 08:06:51.307000,544420.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n10,Pillow,python-pillow/Pillow,,image,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000000,2021-07-15 09:39:43.000000,2021-07-13 11:25:59.000000,1678,184.0,2069.0,8703.0,11962.0,The friendly PIL fork (Python Imaging Library).,368.0,40,True,2021-07-07 00:05:31.000000,8.3.1,82.0,Pillow,conda-forge/pillow,,,,620821.0,509395.0,https://pypi.org/project/Pillow,2021-07-06 23:56:58.000000,111426.0,33435028.0,33582512.0,https://anaconda.org/conda-forge/pillow,2021-07-07 17:38:10.169000,9291545.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n11,scikit-learn,scikit-learn/scikit-learn,,ml-frameworks,https://github.com/scikit-learn/scikit-learn,https://github.com/scikit-learn/scikit-learn,BSD-3-Clause,2010-08-17 09:43:38.000000,2021-07-15 13:54:34.000000,2021-07-15 13:35:24.000000,21656,2391.0,6993.0,46424.0,,scikit-learn: machine learning in Python.,2285.0,38,True,2021-04-28 17:20:23.000000,0.24.2,54.0,scikit-learn,conda-forge/scikit-learn,,,['sklearn'],281178.0,243290.0,https://pypi.org/project/scikit-learn,2021-04-28 11:18:29.000000,37888.0,26592997.0,26732610.0,https://anaconda.org/conda-forge/scikit-learn,2021-07-06 10:14:33.510000,8655345.0,,,,,1.0,714.0,,,,,,,,,,,,,,,,,,,,\n12,PySpark,apache/spark,,ml-frameworks,https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08.000000,2021-07-15 14:02:27.000000,2021-07-15 13:51:11.000000,24097,235.0,,30340.0,30731.0,Apache Spark Python API.,2496.0,38,True,2021-05-27 17:18:30.000000,3.1.2,26.0,pyspark,conda-forge/pyspark,,,['spark'],1364.0,604.0,https://pypi.org/project/pyspark,2021-05-27 17:18:30.000000,760.0,11768991.0,11791127.0,https://anaconda.org/conda-forge/pyspark,2021-05-29 01:33:32.376000,1151110.0,,,,,1.0,,stable/spark,,,,,,,,,,,,,,,,,,,\n13,numpy,numpy/numpy,,data-containers,https://github.com/numpy/numpy,https://github.com/numpy/numpy,BSD-3-Clause,2010-09-13 23:02:39.000000,2021-07-15 09:34:42.000000,2021-07-14 17:23:48.000000,5632,2330.0,7665.0,17645.0,,The fundamental package for scientific computing with Python.,1288.0,38,True,2021-06-22 14:00:04.000000,1.21.0,101.0,numpy,conda-forge/numpy,,,,937924.0,768202.0,https://pypi.org/project/numpy,2021-06-22 13:39:59.000000,169722.0,80347945.0,80695378.0,https://anaconda.org/conda-forge/numpy,2021-06-23 00:23:44.138000,21136484.0,,,,,1.0,365281.0,,,,,,,,,,,,,,,,,,,,\n14,XGBoost,dmlc/xgboost,,ml-frameworks,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000000,2021-07-15 13:37:28.000000,2021-07-15 03:16:51.000000,7983,296.0,3823.0,21296.0,5396.0,\"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..\",525.0,37,True,2021-05-13 11:35:17.000000,1.4.2,57.0,xgboost,conda-forge/xgboost,,https://xgboost.readthedocs.io/en/latest/,,20800.0,19208.0,https://pypi.org/project/xgboost,2021-05-13 11:49:10.000000,1592.0,6082238.0,6116308.0,https://anaconda.org/conda-forge/xgboost,2021-04-29 20:56:44.761000,1770167.0,,,,,1.0,2635.0,,,,,,,,,,,,,,,,,,,,\n15,spaCy,explosion/spaCy,,nlp,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000000,2021-07-15 13:19:33.000000,2021-07-15 08:27:17.000000,3492,96.0,4655.0,20897.0,14694.0,Industrial-strength Natural Language Processing (NLP) in Python.,602.0,37,True,2021-07-07 14:34:37.000000,3.1.0,180.0,spacy,conda-forge/spacy,,,,30452.0,27386.0,https://pypi.org/project/spacy,2021-07-07 14:33:50.000000,3066.0,2668427.0,2709738.0,https://anaconda.org/conda-forge/spacy,2021-07-08 11:31:23.003000,2186699.0,,,,,1.0,3044.0,,,,,,,,,,,,,,,,,,,,\n16,Seaborn,mwaskom/seaborn,,data-viz,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000000,2021-07-15 00:57:43.000000,2021-06-18 19:22:56.000000,1443,93.0,1786.0,8579.0,2781.0,Statistical data visualization in Python.,153.0,37,True,2021-03-29 17:36:25.000000,joss_paper,23.0,seaborn,conda-forge/seaborn,,,,118064.0,105278.0,https://pypi.org/project/seaborn,2020-12-20 20:53:25.000000,12786.0,9489689.0,9532717.0,https://anaconda.org/conda-forge/seaborn,2021-01-28 11:50:33.609000,2538631.0,,,,,1.0,178.0,,,,,,,,,,,,,,,,,,,,\n17,Arrow,apache/arrow,,data-containers,https://github.com/apache/arrow,https://github.com/apache/arrow,Apache-2.0,2016-02-17 08:00:23.000000,2021-07-15 14:47:17.000000,2021-07-15 14:30:13.000000,1958,166.0,620.0,8148.0,9541.0,Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing.,695.0,37,True,2021-04-26 21:13:42.000000,4.0.0,32.0,pyarrow,conda-forge/arrow,,,,1033.0,47.0,https://pypi.org/project/pyarrow,2021-05-30 17:16:04.000000,986.0,25417871.0,25428679.0,https://anaconda.org/conda-forge/arrow,2021-06-24 17:36:08.348000,670099.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n18,transformers,huggingface/transformers,,nlp,https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000000,2021-07-15 14:05:32.000000,2021-07-15 13:14:12.000000,11553,416.0,6955.0,48544.0,7591.0,\"Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.\",939.0,36,True,2021-06-30 12:42:38.000000,4.8.2,62.0,transformers,conda-forge/transformers,,,\"['pytorch', 'tensorflow']\",13578.0,13450.0,https://pypi.org/project/transformers,2021-06-30 12:31:04.000000,128.0,2859589.0,2862117.0,https://anaconda.org/conda-forge/transformers,2021-06-30 16:31:05.853000,52185.0,,,,,1.0,1386.0,,,,,,,,,,,,,,,,,,,,\n19,OpenAI Gym,openai/gym,,reinforcement-learning,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16.000000,2021-07-11 07:13:01.000000,2021-05-17 23:19:33.000000,7031,312.0,1071.0,24639.0,1245.0,A toolkit for developing and comparing reinforcement learning algorithms.,275.0,36,True,2021-05-18 00:09:21.000000,0.18.3,93.0,gym,,,,,25219.0,21657.0,https://pypi.org/project/gym,2021-05-18 00:09:21.000000,3562.0,965449.0,965449.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n20,LightGBM,microsoft/LightGBM,,ml-frameworks,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000000,2021-07-15 09:04:31.000000,2021-07-12 11:05:49.000000,3306,121.0,2215.0,12732.0,2607.0,\"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..\",235.0,36,True,2021-04-12 23:03:24.000000,3.2.1,25.0,lightgbm,conda-forge/lightgbm,,,,8487.0,7931.0,https://pypi.org/project/lightgbm,2021-03-22 15:04:09.000000,556.0,3712149.0,3727803.0,https://anaconda.org/conda-forge/lightgbm,2021-04-20 13:04:15.819000,647625.0,,,,,1.0,110303.0,,,,,,,,,,,,,,,,,,,,\n21,gensim,RaRe-Technologies/gensim,,nlp,https://github.com/RaRe-Technologies/gensim,https://github.com/RaRe-Technologies/gensim,LGPL-2.1,2011-02-10 07:43:04.000000,2021-07-11 02:43:10.000000,2021-06-29 09:09:24.000000,4029,367.0,1320.0,12241.0,4144.0,Topic Modelling for Humans.,408.0,36,True,2021-04-01 14:19:26.000000,4.0.1,85.0,gensim,conda-forge/gensim,,,,29981.0,25239.0,https://pypi.org/project/gensim,2021-03-25 13:43:34.000000,4742.0,7656531.0,7671486.0,https://anaconda.org/conda-forge/gensim,2021-06-15 14:29:56.801000,685706.0,,,,,1.0,3393.0,,,,,,,,,,,,,,,,,,,,\n22,Plotly,plotly/plotly.py,,data-viz,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000000,2021-07-14 20:51:22.000000,2021-06-28 21:03:29.000000,1838,916.0,1116.0,9849.0,5126.0,The interactive graphing library for Python (includes Plotly Express).,178.0,36,True,2021-06-28 21:06:45.000000,5.1.0,269.0,plotly,conda-forge/plotly,,,,4991.0,5.0,https://pypi.org/project/plotly,2021-06-28 19:35:15.000000,4982.0,5711305.0,5783399.0,https://anaconda.org/conda-forge/plotly,2021-06-28 22:31:25.796000,1572708.0,,,,,1.0,,,plotlywidget,https://www.npmjs.com/package/plotlywidget,2021-01-12 16:09:46.133000,4.0,45438.0,,,,,,,,,,,,,,\n23,torchvision,pytorch/vision,,image,https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000000,2021-07-15 14:07:30.000000,2021-07-15 14:07:29.000000,4863,488.0,1343.0,9435.0,1876.0,\"Datasets, Transforms and Models specific to Computer Vision.\",403.0,36,True,2021-06-15 16:00:00.000000,0.10.0,24.0,torchvision,conda-forge/torchvision,,,['pytorch'],60951.0,56339.0,https://pypi.org/project/torchvision,2021-06-15 16:00:00.000000,4612.0,1667988.0,1669845.0,https://anaconda.org/conda-forge/torchvision,2021-07-01 17:23:25.774000,79878.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n24,SymPy,sympy/sympy,,others,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000000,2021-07-15 13:46:10.000000,2021-07-15 11:04:18.000000,3416,4148.0,7421.0,8243.0,47492.0,A computer algebra system written in pure Python.,1084.0,36,True,2021-04-09 22:38:24.000000,sympy-1.8,37.0,sympy,conda-forge/sympy,,,,40088.0,33666.0,https://pypi.org/project/sympy,2021-04-09 22:41:01.000000,6422.0,1826393.0,1856133.0,https://anaconda.org/conda-forge/sympy,2021-04-10 01:00:41.286000,1567607.0,,,,,1.0,427878.0,,,,,,,,,,,,,,,,,,,,\n25,Tensorboard,tensorflow/tensorboard,,ml-experiments,https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000000,2021-07-15 05:29:51.000000,2021-07-14 21:42:15.000000,1401,551.0,993.0,5561.0,4630.0,TensorFlow's Visualization Toolkit.,261.0,36,True,2021-04-19 18:42:18.000000,2.5.0,37.0,tensorboard,conda-forge/tensorboard,,,['tensorflow'],75249.0,71635.0,https://pypi.org/project/tensorboard,2021-01-14 20:49:19.000000,3614.0,10562606.0,10612382.0,https://anaconda.org/conda-forge/tensorboard,2021-06-11 23:53:46.549000,2190154.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n26,joblib,joblib/joblib,,data-pipelines,https://github.com/joblib/joblib,https://github.com/joblib/joblib,BSD-3-Clause,2010-05-07 06:48:26.000000,2021-07-10 10:38:06.000000,2021-06-11 10:31:40.000000,290,291.0,365.0,2493.0,1375.0,Computing with Python functions.,102.0,36,True,2021-02-09 16:46:29.000000,1.0.1,100.0,joblib,conda-forge/joblib,,,,122210.0,115600.0,https://pypi.org/project/joblib,2021-02-09 16:46:29.000000,6610.0,27023600.0,27099661.0,https://anaconda.org/conda-forge/joblib,2021-02-09 19:26:28.194000,4563671.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n27,h5py,h5py/h5py,,data-containers,https://github.com/h5py/h5py,https://github.com/h5py/h5py,BSD-3-Clause,2012-09-21 00:40:02.000000,2021-07-13 02:32:25.000000,2021-07-08 08:56:35.000000,409,214.0,1004.0,1540.0,3684.0,HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.,164.0,36,True,2021-06-22 12:06:46.000000,3.3.0,28.0,h5py,conda-forge/h5py,,,,146718.0,123782.0,https://pypi.org/project/h5py,2021-06-22 12:26:45.000000,22936.0,11843763.0,11931169.0,https://anaconda.org/conda-forge/h5py,2021-06-23 03:02:36.658000,5592520.0,,,,,2.0,1206.0,,,,,,,,,,,,,,,,,,,,\n28,Ray,ray-project/ray,,distributed-ml,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000000,2021-07-15 14:20:12.000000,2021-07-15 14:03:27.000000,2773,1662.0,5631.0,16618.0,8692.0,\"An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged..\",522.0,35,True,2021-06-30 22:04:46.000000,1.4.1,49.0,ray,,,,,2595.0,2435.0,https://pypi.org/project/ray,2021-06-30 22:04:46.000000,160.0,532222.0,532222.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n29,onnx,onnx/onnx,,model-serialisation,https://github.com/onnx/onnx,https://github.com/onnx/onnx,Apache-2.0,2017-09-07 04:53:45.000000,2021-07-15 15:04:12.000000,2021-07-15 03:43:14.000000,2001,494.0,1135.0,10957.0,1779.0,Open standard for machine learning interoperability.,204.0,35,True,2021-04-19 19:22:57.000000,1.9.0,21.0,onnx,conda-forge/onnx,,,,3857.0,3561.0,https://pypi.org/project/onnx,2021-04-19 19:22:57.000000,296.0,1752340.0,1758611.0,https://anaconda.org/conda-forge/onnx,2021-05-08 08:02:42.009000,261152.0,,,,,1.0,15143.0,,,,,,,1.0,,,,,,,,,,,,,\n30,nltk,nltk/nltk,,nlp,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58.000000,2021-07-15 09:03:10.000000,2021-07-12 12:37:06.000000,2467,235.0,1261.0,9982.0,,Suite of libraries and programs for symbolic and statistical natural language processing for English.,397.0,35,True,2021-04-07 21:36:50.000000,3.6.1,41.0,nltk,conda-forge/nltk,,,,128735.0,107743.0,https://pypi.org/project/nltk,2021-04-07 21:36:50.000000,20992.0,12835098.0,12848304.0,https://anaconda.org/conda-forge/nltk,2021-04-20 15:34:03.018000,779201.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n31,networkx,networkx/networkx,,graph,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44.000000,2021-07-13 19:43:44.000000,2021-07-09 18:05:49.000000,2352,284.0,2404.0,9359.0,,Network Analysis in Python.,530.0,35,True,2021-07-08 20:16:33.000000,2.6.1,57.0,networkx,conda-forge/networkx,,,,100595.0,79777.0,https://pypi.org/project/networkx,2021-07-08 20:16:33.000000,20818.0,11520316.0,11589994.0,https://anaconda.org/conda-forge/networkx,2021-07-09 18:13:38.257000,3971683.0,,,,,1.0,56.0,,,,,,,,,,,,,,,,,,,,\n32,MXNet,apache/incubator-mxnet,,ml-frameworks,https://github.com/apache/incubator-mxnet,https://github.com/apache/incubator-mxnet,Apache-2.0,2015-04-30 16:21:15.000000,2021-07-15 12:05:10.000000,2021-07-13 23:21:43.000000,6861,1917.0,7656.0,19557.0,11627.0,\"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..\",961.0,34,True,2021-03-21 14:56:00.000000,1.8.0,980.0,mxnet,mxnet,,,['mxnet'],2640.0,2196.0,https://pypi.org/project/mxnet,2021-03-31 20:05:38.000000,444.0,209805.0,210336.0,https://anaconda.org/anaconda/mxnet,2020-02-29 00:58:31.007000,6294.0,,,,,2.0,23928.0,,,,,,,,0.0,,,,,,,,,,,,\n33,luigi,spotify/luigi,,data-pipelines,https://github.com/spotify/luigi,https://github.com/spotify/luigi,Apache-2.0,2012-09-20 15:06:38.000000,2021-07-07 10:21:38.000000,2021-07-07 10:18:00.000000,2266,87.0,844.0,14788.0,3994.0,\"Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution,..\",556.0,34,True,2021-04-17 01:06:10.000000,3.0.3,72.0,luigi,luigi,,,,2159.0,1483.0,https://pypi.org/project/luigi,2020-09-23 11:57:12.000000,676.0,745996.0,746110.0,https://anaconda.org/anaconda/luigi,2021-04-17 18:49:18.708000,7412.0,,,,,1.0,,stable/luigi,,,,,,,0.0,,,,,,,,,,,,\n34,pytorch-lightning,PyTorchLightning/pytorch-lightning,,ml-frameworks,https://github.com/PyTorchLightning/pytorch-lightning,https://github.com/PyTorchLightning/pytorch-lightning,Apache-2.0,2019-03-31 00:45:57.000000,2021-07-15 13:33:31.000000,2021-07-14 15:04:33.000000,1700,327.0,3283.0,14522.0,5255.0,\"The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.\",492.0,34,True,2021-07-01 14:07:05.000000,1.3.8,177.0,pytorch-lightning,conda-forge/pytorch-lightning,,,['pytorch'],3758.0,3744.0,https://pypi.org/project/pytorch-lightning,2021-07-01 14:07:05.000000,14.0,535194.0,549765.0,https://anaconda.org/conda-forge/pytorch-lightning,2021-07-01 17:14:15.252000,187395.0,,,,,2.0,3759.0,,,,,,,,,,,,,,,,,,,,\n35,shap,slundberg/shap,,interpretability,https://github.com/slundberg/shap,https://github.com/slundberg/shap,MIT,2016-11-22 19:17:08.000000,2021-07-15 13:36:15.000000,2021-05-17 19:05:26.000000,1929,1094.0,539.0,13251.0,1930.0,A game theoretic approach to explain the output of any machine learning model.,156.0,34,True,2021-03-03 18:38:33.000000,0.39.0,93.0,shap,conda-forge/shap,,,,3095.0,2959.0,https://pypi.org/project/shap,2021-01-15 21:02:34.000000,136.0,2443784.0,2459858.0,https://anaconda.org/conda-forge/shap,2021-04-29 12:11:05.706000,562623.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n36,Theano,Theano/Theano,,ml-frameworks,https://github.com/Theano/Theano,https://github.com/Theano/Theano,BSD-3-Clause,2011-08-10 03:48:06.000000,2021-06-05 14:19:15.755000,2021-04-13 19:05:58.000000,2514,674.0,2085.0,9432.0,28126.0,\"Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving..\",384.0,34,True,2020-07-27 16:13:54.000000,1.0.5,45.0,theano,conda-forge/theano,,,,16758.0,11284.0,https://pypi.org/project/theano,2020-07-27 16:13:54.000000,5474.0,243378.0,270024.0,https://anaconda.org/conda-forge/theano,2021-06-05 14:19:15.755000,1598806.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n37,pydeck,visgl/deck.gl,,geospatial-data,https://github.com/visgl/deck.gl,https://github.com/visgl/deck.gl,MIT,2015-12-15 08:38:29.000000,2021-07-15 08:32:01.000000,2021-07-13 20:16:06.000000,1591,94.0,2077.0,8821.0,3711.0,WebGL2 powered geospatial visualization layers.,169.0,34,True,2021-07-01 22:44:05.000000,8.4.20,479.0,pydeck,conda-forge/pydeck,,,['jupyter'],2205.0,1643.0,https://pypi.org/project/pydeck,2021-04-13 02:26:45.000000,2.0,348174.0,564452.0,https://anaconda.org/conda-forge/pydeck,2021-04-13 20:41:22.066000,40805.0,,,,,1.0,,,deck.gl,https://www.npmjs.com/package/deck.gl,2021-07-06 06:10:52.046000,560.0,213878.0,,,,,,,,,,,,,,\n38,dask,dask/dask,,distributed-ml,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000000,2021-07-15 03:52:55.000000,2021-07-14 18:48:16.000000,1298,773.0,3088.0,8553.0,,Parallel computing with task scheduling.,455.0,34,True,2021-07-09 19:43:39.000000,2021.7.0,122.0,dask,conda-forge/dask,,,,32963.0,29047.0,https://pypi.org/project/dask,2021-07-09 19:43:39.000000,3916.0,4822071.0,4881507.0,https://anaconda.org/conda-forge/dask,2021-07-10 02:14:37.249000,3685061.0,,,,,1.0,,stable/dask,,,,,,,,,,,,,,,,,,,\n39,rq,rq/rq,,data-pipelines,https://github.com/rq/rq,https://github.com/rq/rq,BSD-3-Clause,2011-11-14 10:53:48.000000,2021-07-15 02:09:25.000000,2021-07-15 02:09:25.000000,1237,158.0,724.0,7789.0,1586.0,Simple job queues for Python.,243.0,34,True,2021-06-30 07:22:37.000000,1.9.0,66.0,rq,conda-forge/rq,,,,11648.0,8324.0,https://pypi.org/project/rq,2021-06-30 07:21:51.000000,3324.0,489352.0,490289.0,https://anaconda.org/conda-forge/rq,2021-06-30 09:49:43.099000,56236.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n40,Airflow,apache/airflow,,data-pipelines,https://github.com/apache/airflow,https://github.com/apache/airflow,Apache-2.0,2015-04-13 18:04:58.000000,2021-07-15 15:02:08.000000,2021-07-15 14:18:00.000000,8809,998.0,2840.0,22659.0,,\"Platform to programmatically author, schedule, and monitor workflows.\",1934.0,33,True,2021-07-14 20:14:52.000000,2.1.2,82.0,apache-airflow,conda-forge/airflow,apache/airflow,,,294.0,,https://pypi.org/project/apache-airflow,2021-07-14 20:11:37.000000,294.0,2958551.0,3362367.0,https://anaconda.org/conda-forge/airflow,2021-07-04 09:56:21.710000,357993.0,https://hub.docker.com/r/apache/airflow,2021-07-15 01:38:05.324982,266.0,29589628.0,1.0,151175.0,stable/airflow,,,,,,1.0,,,,,,,,,,,,,\n41,PyFlink,apache/flink,,ml-frameworks,https://github.com/apache/flink,https://github.com/apache/flink,Apache-2.0,2014-06-07 07:00:10.000000,2021-07-15 14:02:27.000000,2021-07-15 13:20:51.000000,9068,573.0,,16721.0,27519.0,Apache Flink Python API.,1319.0,33,True,2021-05-28 14:53:34.000000,1.13.1,18.0,apache-flink,,,,,308.0,308.0,https://pypi.org/project/apache-flink,2021-05-28 14:53:34.000000,0.0,7738.0,7738.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n42,Bokeh,bokeh/bokeh,,data-viz,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000000,2021-07-14 23:26:10.000000,2021-07-14 15:37:33.000000,3743,691.0,5950.0,15303.0,,\"Interactive Data Visualization in the browser, from Python.\",564.0,33,True,2021-07-07 18:02:49.000000,2.3.3,99.0,bokeh,conda-forge/bokeh,,,,42291.0,36419.0,https://pypi.org/project/bokeh,2021-07-07 18:02:49.000000,5872.0,1864662.0,1960396.0,https://anaconda.org/conda-forge/bokeh,2021-07-08 16:05:38.712000,4882443.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n43,dash,plotly/dash,,data-viz,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000000,2021-07-15 05:41:07.000000,2021-07-13 04:26:19.000000,1505,451.0,593.0,14839.0,3772.0,\"Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.\",79.0,33,True,2021-07-13 16:17:17.000000,1.21.0,138.0,dash,conda-forge/dash,,,,1745.0,137.0,https://pypi.org/project/dash,2021-07-13 05:49:28.000000,1608.0,560725.0,567724.0,https://anaconda.org/conda-forge/dash,2021-04-10 06:31:33.446000,265986.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n44,tensor2tensor,tensorflow/tensor2tensor,,tensorflow-utils,https://github.com/tensorflow/tensor2tensor,https://github.com/tensorflow/tensor2tensor,Apache-2.0,2017-06-15 16:57:39.000000,2021-06-27 15:08:53.000000,2021-06-22 02:47:08.000000,2919,562.0,667.0,11406.0,4351.0,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,233.0,33,True,2020-06-17 16:15:36.000000,1.15.7,79.0,tensor2tensor,,,,['tensorflow'],1167.0,1003.0,https://pypi.org/project/tensor2tensor,2020-06-17 16:15:36.000000,164.0,672393.0,672393.0,,,,,,,,1.0,,,,,,,,1.0,,,,,,,,,,,,,\n45,mlflow,mlflow/mlflow,,ml-experiments,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000000,2021-07-15 14:21:27.000000,2021-07-15 03:04:32.000000,2149,838.0,1094.0,9774.0,2094.0,Open source platform for the machine learning lifecycle.,305.0,33,True,2021-07-14 09:35:29.000000,1.19.0,47.0,mlflow,conda-forge/mlflow,,,,154.0,,https://pypi.org/project/mlflow,2021-07-14 09:02:28.000000,154.0,8554489.0,8567671.0,https://anaconda.org/conda-forge/mlflow,2021-07-14 13:59:19.774000,355919.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n46,StatsModels,statsmodels/statsmodels,,ml-frameworks,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000000,2021-07-15 13:58:52.000000,2021-07-15 12:03:23.000000,2261,2132.0,2353.0,6448.0,,Statsmodels: statistical modeling and econometrics in Python.,322.0,33,True,2021-02-02 11:08:49.000000,0.12.2,25.0,statsmodels,conda-forge/statsmodels,,,,52637.0,45981.0,https://pypi.org/project/statsmodels,2021-02-02 11:08:49.000000,6656.0,5484734.0,5556223.0,https://anaconda.org/conda-forge/statsmodels,2021-02-15 17:38:00.380000,4360880.0,,,,,2.0,25.0,,,,,,,,,,,,,,,,,,,,\n47,scikit-image,scikit-image/scikit-image,,image,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,BSD-2-Clause,2011-07-07 22:07:20.000000,2021-07-15 13:18:17.000000,2021-07-15 11:59:04.000000,1824,699.0,1551.0,4418.0,,Image processing in Python.,501.0,33,True,2021-06-29 01:49:12.000000,0.18.2,38.0,scikit-image,conda-forge/scikit-image,,,,89088.0,74314.0,https://pypi.org/project/scikit-image,2021-06-29 01:49:12.000000,14774.0,3163462.0,3206166.0,https://anaconda.org/conda-forge/scikit-image,2021-07-08 03:21:46.788000,2647700.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n48,geopy,geopy/geopy,,geospatial-data,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000000,2021-07-12 18:34:05.605000,2021-07-11 12:02:41.000000,549,23.0,224.0,3360.0,1064.0,Geocoding library for Python.,122.0,33,True,2021-07-11 12:18:10.000000,2.2.0,58.0,geopy,conda-forge/geopy,,,,30822.0,23578.0,https://pypi.org/project/geopy,2021-07-11 12:15:26.000000,7244.0,5110009.0,5118810.0,https://anaconda.org/conda-forge/geopy,2021-07-12 18:34:05.605000,563303.0,,,,,1.0,,,,,,,,1.0,,,,,,,,,,,,,\n49,TensorFlow Datasets,tensorflow/datasets,,tensorflow-utils,https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000000,2021-07-15 15:08:36.000000,2021-07-15 10:33:38.000000,1060,474.0,575.0,2901.0,4101.0,\"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...\",214.0,33,True,2021-05-07 13:09:09.000000,4.3.0,22.0,tensorflow-datasets,,,,['tensorflow'],5500.0,5398.0,https://pypi.org/project/tensorflow-datasets,2021-05-07 11:42:04.000000,102.0,1709529.0,1709529.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n50,tensorflow-hub,tensorflow/hub,,tensorflow-utils,https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42.000000,2021-07-15 00:28:59.000000,2021-07-14 18:28:12.000000,1507,34.0,584.0,2877.0,914.0,A library for transfer learning by reusing parts of TensorFlow models.,73.0,33,True,2021-04-14 13:17:26.000000,0.12.0,15.0,tensorflow-hub,conda-forge/tensorflow-hub,,,['tensorflow'],7883.0,7569.0,https://pypi.org/project/tensorflow-hub,2021-04-14 12:54:13.000000,314.0,3587742.0,3589220.0,https://anaconda.org/conda-forge/tensorflow-hub,2021-04-18 18:01:14.779000,54692.0,,,,,1.0,,,,,,,,1.0,,,,,,,,,,,,,\n51,Shapely,Toblerity/Shapely,,geospatial-data,https://github.com/Toblerity/Shapely,https://github.com/Toblerity/Shapely,BSD-3-Clause,2011-12-31 19:43:11.000000,2021-07-15 10:57:18.000000,2021-07-12 22:35:46.000000,410,138.0,622.0,2342.0,1523.0,Manipulation and analysis of geometric objects.,117.0,33,True,2020-12-15 18:27:01.000000,1.7.1,100.0,shapely,conda-forge/shapely,,,,25858.0,20400.0,https://pypi.org/project/shapely,2021-03-04 00:27:13.000000,5458.0,4418413.0,4454732.0,https://anaconda.org/conda-forge/shapely,2021-06-02 19:34:35.262000,2506060.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n52,TF Addons,tensorflow/addons,,tensorflow-utils,https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17.000000,2021-07-15 14:06:57.000000,2021-07-10 01:15:35.000000,480,218.0,661.0,1324.0,1370.0,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,168.0,33,True,2021-05-15 16:45:30.000000,0.13.0,26.0,tensorflow-addons,,,,['tensorflow'],3640.0,3622.0,https://pypi.org/project/tensorflow-addons,2021-05-15 17:10:13.000000,18.0,5179136.0,5179136.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n53,Fastai,fastai/fastai,,ml-frameworks,https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000000,2021-07-14 04:06:52.000000,2021-07-14 04:06:52.000000,7047,93.0,1393.0,21126.0,1777.0,The fastai deep learning library.,472.0,32,True,2021-07-14 03:15:10.000000,2.4.1,122.0,fastai,,,,['pytorch'],368.0,,https://pypi.org/project/fastai,2021-07-14 03:15:10.000000,368.0,154316.0,154316.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n54,imgaug,aleju/imgaug,,image,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33.000000,2021-07-09 08:52:02.000000,2020-06-01 14:58:26.000000,2082,242.0,214.0,11461.0,2913.0,Image augmentation for machine learning experiments.,36.0,32,False,2020-02-06 06:18:40.000000,0.4.0,11.0,imgaug,conda-forge/imgaug,,,,7546.0,6990.0,https://pypi.org/project/imgaug,2020-02-05 20:54:22.000000,556.0,225711.0,227528.0,https://anaconda.org/conda-forge/imgaug,2020-02-14 16:06:53.525000,45442.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n55,flair,flairNLP/flair,,nlp,https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,MIT,2018-06-11 11:04:18.000000,2021-07-13 11:27:52.000000,2021-07-09 14:58:37.000000,1654,95.0,1488.0,10568.0,3475.0,A very simple framework for state-of-the-art Natural Language Processing (NLP).,202.0,32,True,2021-03-05 11:57:03.000000,0.8,21.0,flair,,,,['pytorch'],899.0,851.0,https://pypi.org/project/flair,2021-03-08 23:08:40.000000,48.0,71610.0,71610.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n56,AllenNLP,allenai/allennlp,,nlp,https://github.com/allenai/allennlp,https://github.com/allenai/allennlp,Apache-2.0,2017-05-15 15:52:41.000000,2021-07-15 11:53:08.000000,2021-07-08 22:19:49.000000,2076,98.0,2297.0,10328.0,2357.0,\"An open-source NLP research library, built on PyTorch.\",244.0,32,True,2021-06-03 17:35:55.000000,2.5.0,218.0,allennlp,,,,['pytorch'],2036.0,1802.0,https://pypi.org/project/allennlp,2021-07-15 11:53:08.000000,234.0,39024.0,39024.0,,,,,,,,1.0,42.0,,,,,,,,,,,,,,,,,,,,\n57,dlib,davisking/dlib,,ml-frameworks,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000000,2021-07-13 14:23:49.000000,2021-06-30 10:43:43.000000,2944,46.0,1881.0,10308.0,7945.0,A toolkit for making real world machine learning and data analysis applications in C++.,167.0,32,False,2021-03-28 13:36:18.000000,19.22,28.0,dlib,conda-forge/dlib,,,,12081.0,10723.0,https://pypi.org/project/dlib,2020-12-04 19:23:04.000000,1358.0,111705.0,117838.0,https://anaconda.org/conda-forge/dlib,2021-04-03 09:47:47.788000,336181.0,,,,,2.0,24634.0,,,,,,,,,,,,,,,,,,,,\n58,DVC,iterative/dvc,,ml-experiments,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000000,2021-07-15 11:40:14.000000,2021-07-15 09:33:07.000000,787,566.0,2549.0,8267.0,6698.0,Data Version Control | Git for Data & Models | ML Experiments Management.,230.0,32,True,2021-07-08 20:02:44.000000,2.5.4,328.0,dvc,conda-forge/dvc,,,,1279.0,1233.0,https://pypi.org/project/dvc,2021-07-08 20:05:07.000000,46.0,287234.0,322134.0,https://anaconda.org/conda-forge/dvc,2021-07-09 06:25:26.275000,781550.0,,,,,1.0,30373.0,,,,,,,,,dvc,dvc,dvc,,,,,,,,,\n59,pandas-profiling,pandas-profiling/pandas-profiling,,data-viz,https://github.com/pandas-profiling/pandas-profiling,https://github.com/pandas-profiling/pandas-profiling,MIT,2016-01-09 23:47:55.000000,2021-07-12 23:00:58.000000,2021-06-27 20:16:39.000000,1114,73.0,401.0,7618.0,852.0,Create HTML profiling reports from pandas DataFrame objects.,79.0,32,True,2021-05-11 22:24:40.000000,3.0.0,30.0,pandas-profiling,conda-forge/pandas-profiling,,,\"['jupyter', 'pandas']\",4810.0,4650.0,https://pypi.org/project/pandas-profiling,2021-05-11 22:24:40.000000,160.0,477779.0,480230.0,https://anaconda.org/conda-forge/pandas-profiling,2021-05-12 01:17:17.354000,144659.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n60,Chainer,chainer/chainer,,ml-frameworks,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37.000000,2021-06-10 09:05:27.000000,2021-06-10 08:30:31.000000,1374,18.0,2025.0,5592.0,30595.0,A flexible framework of neural networks for deep learning.,318.0,32,True,2021-06-10 09:05:28.000000,7.8.0,110.0,chainer,,,,,3076.0,2334.0,https://pypi.org/project/chainer,2021-06-10 08:29:05.000000,742.0,29753.0,29753.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n61,imbalanced-learn,scikit-learn-contrib/imbalanced-learn,,sklearn-utils,https://github.com/scikit-learn-contrib/imbalanced-learn,https://github.com/scikit-learn-contrib/imbalanced-learn,MIT,2014-08-16 05:08:26.000000,2021-06-18 13:14:13.000000,2021-05-25 16:10:30.000000,1110,42.0,432.0,5343.0,740.0,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,58.0,32,True,2021-02-18 14:00:33.000000,0.8.0,27.0,imbalanced-learn,conda-forge/imbalanced-learn,,,['sklearn'],6550.0,6270.0,https://pypi.org/project/imbalanced-learn,2021-02-18 13:50:00.000000,280.0,1821311.0,1824475.0,https://anaconda.org/conda-forge/imbalanced-learn,2021-02-18 15:40:00.937000,142411.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n62,folium,python-visualization/folium,,geospatial-data,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000000,2021-06-28 15:44:27.000000,2021-06-19 11:04:19.000000,1951,167.0,699.0,5336.0,1475.0,Python Data. Leaflet.js Maps.,122.0,32,True,2021-01-18 17:29:40.000000,0.12.1,25.0,folium,conda-forge/folium,,,,11863.0,10895.0,https://pypi.org/project/folium,2021-01-18 17:29:40.000000,968.0,532464.0,538376.0,https://anaconda.org/conda-forge/folium,2021-03-12 17:41:57.124000,378410.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n63,CuPy,cupy/cupy,,gpu-utilities,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000000,2021-07-15 14:12:21.009310,2021-07-15 14:06:00.000000,481,351.0,1088.0,5221.0,22362.0,NumPy & SciPy for GPU.,266.0,32,True,2021-06-24 08:32:19.000000,9.2.0,96.0,cupy,conda-forge/cupy,cupy/cupy,,,960.0,768.0,https://pypi.org/project/cupy,2021-06-24 06:54:30.000000,192.0,79684.0,116488.0,https://anaconda.org/conda-forge/cupy,2021-06-26 12:55:54.483000,746760.0,https://hub.docker.com/r/cupy/cupy,2021-07-15 14:12:21.009310,6.0,51592.0,1.0,17134.0,,,,,,,,,,,,,,,,,,,,\n64,Beam,apache/beam,,data-pipelines,https://github.com/apache/beam,https://github.com/apache/beam,Apache-2.0,2016-02-02 08:00:06.000000,2021-07-15 14:19:12.000000,2021-07-14 22:12:58.000000,3090,167.0,,4901.0,32501.0,\"Unified programming model to define and execute data processing pipelines, including ETL, batch and stream processing.\",1092.0,32,True,2021-07-08 17:30:57.000000,2.31.0,37.0,apache-beam,,,,,186.0,,https://pypi.org/project/apache-beam,2021-07-08 17:10:05.000000,186.0,3021912.0,3021912.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n65,Optuna,optuna/optuna,,hyperopt,https://github.com/optuna/optuna,https://github.com/optuna/optuna,MIT,2018-02-21 06:12:56.000000,2021-07-15 14:24:28.000000,2021-07-15 02:49:46.000000,528,162.0,736.0,4810.0,10270.0,A hyperparameter optimization framework.,143.0,32,True,2021-06-07 07:07:08.000000,2.8.0,38.0,optuna,conda-forge/optuna,,,,1656.0,1604.0,https://pypi.org/project/optuna,2021-06-07 07:07:08.000000,52.0,580008.0,581623.0,https://anaconda.org/conda-forge/optuna,2021-06-07 09:30:29.517000,32317.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n66,GeoPandas,geopandas/geopandas,,geospatial-data,https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000000,2021-07-15 08:58:27.000000,2021-07-15 08:18:17.000000,604,338.0,752.0,2699.0,1409.0,Python tools for geographic data.,144.0,32,True,2021-02-28 21:10:46.000000,0.9.0,37.0,geopandas,conda-forge/geopandas,,,['pandas'],10386.0,9220.0,https://pypi.org/project/geopandas,2021-02-28 21:10:43.000000,1166.0,1211388.0,1227842.0,https://anaconda.org/conda-forge/geopandas,2021-06-09 14:45:13.341000,1051932.0,,,,,2.0,1090.0,,,,,,,,,,,,,,,,,,,,\n67,Thinc,explosion/thinc,,ml-frameworks,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59.000000,2021-07-04 09:45:08.908000,2021-07-01 11:05:13.000000,210,17.0,94.0,2319.0,4949.0,\"A refreshing functional take on deep learning, compatible with your favorite libraries.\",39.0,32,True,2021-07-01 12:13:50.000000,8.0.7,193.0,thinc,conda-forge/thinc,,,,15749.0,14611.0,https://pypi.org/project/thinc,2021-07-01 12:12:11.000000,1138.0,2494364.0,2523091.0,https://anaconda.org/conda-forge/thinc,2021-07-04 09:45:08.908000,1522548.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n68,Rasterio,mapbox/rasterio,,geospatial-data,https://github.com/mapbox/rasterio,https://github.com/mapbox/rasterio,BSD-3-Clause,2013-11-04 16:36:27.000000,2021-07-14 19:48:27.000000,2021-07-14 19:48:27.000000,420,147.0,1273.0,1530.0,3371.0,Rasterio reads and writes geospatial raster datasets.,111.0,32,True,2021-06-23 00:38:10.000000,1.2.6,127.0,rasterio,conda-forge/rasterio,,,,4261.0,3411.0,https://pypi.org/project/rasterio,2021-06-23 00:38:10.000000,850.0,550418.0,568184.0,https://anaconda.org/conda-forge/rasterio,2021-06-24 09:36:51.700000,1136421.0,,,,,2.0,740.0,,,,,,,,,,,,,,,,,,,,\n69,dask.distributed,dask/distributed,,distributed-ml,https://github.com/dask/distributed,https://github.com/dask/distributed,BSD-3-Clause,2015-09-13 18:42:29.000000,2021-07-15 14:54:25.000000,2021-07-15 14:54:25.000000,539,865.0,1424.0,1221.0,,A distributed task scheduler for Dask.,245.0,32,True,2021-06-22 16:58:07.000000,2021.6.2,153.0,distributed,conda-forge/distributed,,,,20998.0,19220.0,https://pypi.org/project/distributed,2021-07-09 19:43:38.000000,1778.0,3881873.0,3957674.0,https://anaconda.org/conda-forge/distributed,2021-07-10 00:49:52.979000,4699715.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n70,imageio,imageio/imageio,,image,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000000,2021-07-15 07:20:49.000000,2021-07-05 07:53:41.000000,181,69.0,305.0,890.0,1270.0,Python library for reading and writing image data.,79.0,32,True,2020-07-10 07:45:22.000000,2.9.0,31.0,imageio,conda-forge/imageio,,,,48698.0,44860.0,https://pypi.org/project/imageio,2020-07-06 13:20:41.000000,3838.0,7892686.0,7931155.0,https://anaconda.org/conda-forge/imageio,2020-07-06 14:13:25.518000,2077328.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n71,jieba,fxsjy/jieba,,chinese-nlp,https://github.com/fxsjy/jieba,https://github.com/fxsjy/jieba,MIT,2012-09-29 07:52:01.000000,2021-05-30 19:33:02.597000,2020-02-15 08:33:35.000000,6284,611.0,205.0,26622.0,523.0,Chinese Words Segmentation Utilities.,48.0,31,False,2020-01-20 14:27:23.000000,0.42.1,32.0,jieba,conda-forge/jieba,,,,13176.0,10660.0,https://pypi.org/project/jieba,2020-01-20 14:27:23.000000,2516.0,400727.0,402391.0,https://anaconda.org/conda-forge/jieba,2021-05-30 19:33:02.597000,84895.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n72,PaddlePaddle,PaddlePaddle/Paddle,,ml-frameworks,https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000000,2021-07-15 12:59:31.000000,2021-07-15 11:51:22.000000,3885,2662.0,11010.0,16037.0,15069.0,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,573.0,31,True,2021-07-01 08:43:33.000000,2.1.1,46.0,paddlepaddle,,,,['paddle'],72.0,56.0,https://pypi.org/project/paddlepaddle,2021-06-25 07:07:45.000000,16.0,24448.0,24707.0,,,,,,,,2.0,15300.0,,,,,,,,,,,,,,,,,,,,\n73,jax,google/jax,,ml-frameworks,https://github.com/google/jax,https://github.com/google/jax,Apache-2.0,2018-10-25 21:25:02.000000,2021-07-15 13:54:55.000000,2021-07-15 12:07:09.000000,1217,791.0,1736.0,13348.0,,\"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.\",306.0,31,True,2021-07-09 19:58:24.000000,0.2.17,96.0,jax,conda-forge/jaxlib,,,,2049.0,2003.0,https://pypi.org/project/jax,2021-07-09 19:58:24.000000,46.0,631324.0,637951.0,https://anaconda.org/conda-forge/jaxlib,2021-05-18 05:56:35.288000,159050.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n74,ChatterBot,gunthercox/ChatterBot,,nlp,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00.000000,2021-07-13 08:06:20.000000,2021-06-01 10:43:00.000000,3802,275.0,1238.0,11304.0,1848.0,\"ChatterBot is a machine learning, conversational dialog engine for creating chat bots.\",103.0,31,True,2020-08-22 18:42:43.000000,1.0.8,86.0,chatterbot,,,,,4314.0,3634.0,https://pypi.org/project/chatterbot,2020-08-22 18:40:36.000000,680.0,48635.0,48635.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n75,Albumentations,albumentations-team/albumentations,,image,https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000000,2021-07-15 13:53:18.638000,2021-07-15 10:10:56.000000,1062,220.0,283.0,8364.0,649.0,Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation:..,80.0,31,True,2021-07-15 10:14:24.000000,1.0.3,48.0,albumentations,conda-forge/albumentations,,,['pytorch'],4514.0,4386.0,https://pypi.org/project/albumentations,2021-07-15 10:14:24.000000,128.0,193655.0,194497.0,https://anaconda.org/conda-forge/albumentations,2021-07-15 13:53:18.638000,21068.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n76,fuzzywuzzy,seatgeek/fuzzywuzzy,,nlp,https://github.com/seatgeek/fuzzywuzzy,https://github.com/seatgeek/fuzzywuzzy,GPL-2.0,2011-07-08 19:32:34.000000,2021-05-25 22:02:00.000000,2021-02-20 06:36:20.000000,851,103.0,100.0,8315.0,381.0,Fuzzy String Matching in Python.,68.0,31,False,2020-02-13 22:14:12.000000,0.18.0,27.0,fuzzywuzzy,conda-forge/fuzzywuzzy,,,,12527.0,9321.0,https://pypi.org/project/fuzzywuzzy,2020-02-13 21:06:25.000000,3206.0,4656593.0,4661779.0,https://anaconda.org/conda-forge/fuzzywuzzy,2020-11-18 12:59:01.409000,311199.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n77,wordcloud,amueller/word_cloud,,data-viz,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59.000000,2021-03-21 10:56:17.000000,2021-03-01 23:14:14.000000,2079,100.0,351.0,8183.0,543.0,A little word cloud generator in Python.,61.0,31,True,2020-11-11 21:41:02.000000,1.8.1,16.0,wordcloud,conda-forge/wordcloud,,,,13508.0,12404.0,https://pypi.org/project/wordcloud,2020-11-11 21:41:02.000000,1104.0,478753.0,482597.0,https://anaconda.org/conda-forge/wordcloud,2021-01-14 18:03:24.960000,226803.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n78,MoviePy,Zulko/moviepy,,image,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000000,2021-06-02 15:38:21.000000,2021-06-02 15:38:21.000000,1045,337.0,750.0,7620.0,1061.0,Video editing with Python.,142.0,31,True,2020-05-07 16:29:35.000000,1.0.3,84.0,moviepy,conda-forge/moviepy,,,,9717.0,8587.0,https://pypi.org/project/moviepy,2020-10-05 00:26:29.000000,1130.0,4521714.0,4523491.0,https://anaconda.org/conda-forge/moviepy,2020-02-23 19:57:49.975000,85333.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n79,Altair,altair-viz/altair,,data-viz,https://github.com/altair-viz/altair,https://github.com/altair-viz/altair,BSD-3-Clause,2015-09-19 03:14:04.000000,2021-05-16 11:30:15.000000,2021-04-04 16:59:23.000000,608,234.0,1325.0,6788.0,3065.0,Declarative statistical visualization library for Python.,127.0,31,True,2020-04-01 13:29:16.000000,4.1.0,26.0,altair,conda-forge/altair,,,,13734.0,13364.0,https://pypi.org/project/altair,2020-04-01 13:23:10.000000,370.0,1784092.0,1797364.0,https://anaconda.org/conda-forge/altair,2020-04-01 16:49:36.519000,796349.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n80,Prefect,PrefectHQ/prefect,,data-pipelines,https://github.com/PrefectHQ/prefect,https://github.com/PrefectHQ/prefect,Apache-2.0,2018-06-29 21:59:26.000000,2021-07-15 13:52:57.000000,2021-07-14 22:29:44.000000,616,357.0,1472.0,6542.0,14056.0,The easiest way to automate your data.,216.0,31,True,2021-07-12 22:25:06.000000,0.15.1,100.0,prefect,conda-forge/prefect,,,,379.0,377.0,https://pypi.org/project/prefect,2021-07-12 22:25:06.000000,2.0,104522.0,108550.0,https://anaconda.org/conda-forge/prefect,2021-07-13 18:53:46.209000,112792.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n81,Hyperopt,hyperopt/hyperopt,,hyperopt,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59.000000,2021-06-30 04:29:22.000000,2021-06-30 04:29:22.000000,880,343.0,227.0,5734.0,1180.0,Distributed Asynchronous Hyperparameter Optimization in Python.,89.0,31,True,2020-10-07 09:52:56.000000,0.2.5,11.0,hyperopt,conda-forge/hyperopt,,,,4245.0,3741.0,https://pypi.org/project/hyperopt,2020-10-07 09:52:56.000000,504.0,1031689.0,1038726.0,https://anaconda.org/conda-forge/hyperopt,2020-10-14 07:57:14.292000,239280.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n82,Pydub,jiaaro/pydub,,audio,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38.000000,2021-06-29 21:59:01.000000,2021-06-08 14:06:40.000000,736,204.0,246.0,5470.0,742.0,Manipulate audio with a simple and easy high level interface.,90.0,31,True,2021-03-10 02:10:41.000000,0.25.1,68.0,pydub,conda-forge/pydub,,,,9213.0,7859.0,https://pypi.org/project/pydub,2021-03-10 02:09:53.000000,1354.0,1590712.0,1591241.0,https://anaconda.org/conda-forge/pydub,2021-03-13 05:16:50.142000,16424.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n83,sentencepiece,google/sentencepiece,,nlp,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000000,2021-07-06 14:40:05.000000,2021-07-02 15:44:09.000000,705,31.0,424.0,5200.0,697.0,Unsupervised text tokenizer for Neural Network-based text generation.,57.0,31,True,2021-06-18 09:34:31.000000,0.1.96,31.0,sentencepiece,conda-forge/sentencepiece,,,,9019.0,8779.0,https://pypi.org/project/sentencepiece,2021-06-18 09:34:31.000000,240.0,2584365.0,2590787.0,https://anaconda.org/conda-forge/sentencepiece,2021-02-09 05:49:50.247000,71732.0,,,,,1.0,15588.0,,,,,,,,,,,,,,,,,,,,\n84,UMAP,lmcinnes/umap,,data-viz,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17.000000,2021-07-02 16:54:07.000000,2021-07-02 16:54:07.000000,535,257.0,262.0,4844.0,1445.0,Uniform Manifold Approximation and Projection.,87.0,31,True,2021-02-08 21:04:43.000000,0.5.1,35.0,umap-learn,,,,,3533.0,3307.0,https://pypi.org/project/umap-learn,2021-02-08 21:04:43.000000,226.0,545919.0,545919.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n85,MLxtend,rasbt/mlxtend,,sklearn-utils,https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16.000000,2021-06-22 07:37:08.000000,2021-06-13 17:49:02.000000,705,95.0,289.0,3559.0,1221.0,A library of extension and helper modules for Python's data analysis and machine learning libraries.,84.0,31,True,2020-11-26 04:18:15.000000,0.18.0,46.0,mlxtend,conda-forge/mlxtend,,,['sklearn'],3849.0,3659.0,https://pypi.org/project/mlxtend,2020-11-26 04:18:15.000000,190.0,984464.0,988103.0,https://anaconda.org/conda-forge/mlxtend,2020-11-26 05:32:00.667000,174713.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n86,dbt,fishtown-analytics/dbt,,data-pipelines,https://github.com/dbt-labs/dbt,https://github.com/dbt-labs/dbt,Apache-2.0,2016-03-10 02:38:00.000000,2021-07-15 13:42:47.000000,2021-07-09 21:13:34.000000,611,359.0,1669.0,3229.0,2481.0,dbt (data build tool) enables data analysts and engineers to transform their data using the same practices that..,162.0,31,True,2021-07-12 17:50:44.000000,0.20.0,157.0,dbt,conda-forge/dbt,,,,338.0,320.0,https://pypi.org/project/dbt,2021-07-12 16:49:11.000000,18.0,947807.0,950906.0,https://anaconda.org/conda-forge/dbt,2021-05-04 13:04:32.097000,173594.0,,,,,2.0,,,,,,,,,,dbt,,,dbt-labs/dbt,,,,,,,,\n87,wandb client,wandb/client,,ml-experiments,https://github.com/wandb/client,https://github.com/wandb/client,MIT,2017-03-24 05:46:23.000000,2021-07-15 15:27:29.000000,2021-07-14 23:13:03.000000,228,342.0,852.0,3114.0,4058.0,A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.,83.0,31,True,2021-06-30 01:12:57.000000,0.10.33,203.0,wandb,,,,,3776.0,3698.0,https://pypi.org/project/wandb,2021-06-30 00:49:02.000000,78.0,620727.0,620727.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n88,opencv-python,opencv/opencv-python,,image,https://github.com/opencv/opencv-python,https://github.com/opencv/opencv-python,MIT,2016-04-08 13:36:40.000000,2021-07-11 05:16:04.000000,2021-07-09 05:24:36.000000,400,22.0,419.0,2096.0,767.0,\"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..\",32.0,31,True,2021-07-09 10:29:36.000000,56,55.0,opencv-python,,,,,12560.0,,https://pypi.org/project/opencv-python,2021-07-11 05:16:04.000000,12560.0,4776759.0,4776759.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n89,numexpr,pydata/numexpr,,data-containers,https://github.com/pydata/numexpr,https://github.com/pydata/numexpr,MIT,2013-11-30 22:33:48.000000,2021-07-07 23:40:02.000000,2021-03-03 18:33:11.000000,166,54.0,252.0,1605.0,686.0,\"Fast numerical array expression evaluator for Python, NumPy, PyTables, pandas, bcolz and more.\",57.0,31,True,2021-03-03 18:13:19.000000,2.7.3,40.0,numexpr,conda-forge/numexpr,,,,5482.0,,https://pypi.org/project/numexpr,2021-03-03 18:13:19.000000,5482.0,1380332.0,1426746.0,https://anaconda.org/conda-forge/numexpr,2021-03-05 20:56:41.232000,2738440.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n90,SageMaker SDK,aws/sagemaker-python-sdk,,ml-experiments,https://github.com/aws/sagemaker-python-sdk,https://github.com/aws/sagemaker-python-sdk,Apache-2.0,2017-11-14 01:03:33.000000,2021-07-15 11:09:11.000000,2021-07-14 18:04:54.000000,650,251.0,608.0,1422.0,2079.0,A library for training and deploying machine learning models on Amazon SageMaker.,209.0,31,True,2021-07-12 16:30:05.000000,2.48.2,349.0,sagemaker,,,,\"['mxnet', 'tensorflow']\",802.0,774.0,https://pypi.org/project/sagemaker,2021-07-12 16:30:11.000000,28.0,820787.0,820787.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n91,Wand,emcconville/wand,,image,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000000,2021-07-12 02:24:40.000000,2021-07-12 02:24:34.000000,186,19.0,335.0,1098.0,1712.0,The ctypes-based simple ImageMagick binding for Python.,95.0,31,True,2021-02-28 13:13:25.000000,0.6.6,48.0,wand,,,,,6626.0,5456.0,https://pypi.org/project/wand,2021-02-28 12:46:37.000000,1170.0,437371.0,437535.0,,,,,,,,1.0,5248.0,,,,,,,,,,,,,,,,,,,,\n92,Fiona,Toblerity/Fiona,,geospatial-data,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00.000000,2021-06-24 02:36:41.000000,2021-06-24 02:36:41.000000,175,80.0,565.0,822.0,1264.0,Fiona reads and writes geographic data files.,65.0,31,True,2021-05-31 23:04:33.000000,1.8.20,98.0,fiona,conda-forge/fiona,,,,7366.0,6178.0,https://pypi.org/project/fiona,2021-05-31 23:04:33.000000,1188.0,1545514.0,1578040.0,https://anaconda.org/conda-forge/fiona,2021-06-14 22:45:23.836000,2081712.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n93,pyproj,pyproj4/pyproj,,geospatial-data,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000000,2021-07-10 00:30:54.000000,2021-07-10 00:29:08.000000,156,10.0,410.0,634.0,1173.0,Python interface to PROJ (cartographic projections and coordinate transformations library).,42.0,31,True,2021-05-24 21:05:22.000000,3.1.0,35.0,pyproj,conda-forge/pyproj,,,,12799.0,10337.0,https://pypi.org/project/pyproj,2021-05-24 21:05:22.000000,2462.0,3141463.0,3176166.0,https://anaconda.org/conda-forge/pyproj,2021-06-16 00:57:22.613000,2325141.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n94,Keras,keras-team/keras,,ml-frameworks,https://github.com/keras-team/keras,https://github.com/keras-team/keras,MIT,2015-03-28 00:35:42.000000,2021-07-15 11:10:38.000000,2021-07-15 04:38:11.000000,18743,453.0,10213.0,51898.0,5660.0,Deep Learning for humans.,937.0,30,True,2020-06-24 22:40:48.000000,2.4.3,53.0,keras,conda-forge/keras,,https://keras.io,['tensorflow'],0.0,,https://pypi.org/project/keras,2021-07-08 18:40:38.000000,0.0,3415693.0,3445170.0,https://anaconda.org/conda-forge/keras,2021-04-19 19:56:38.549000,1739176.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n95,fastText,facebookresearch/fastText,,nlp,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000000,2021-06-26 06:53:29.000000,2020-07-18 00:20:40.000000,4369,460.0,596.0,22761.0,379.0,Library for fast text representation and classification.,58.0,30,True,2020-04-28 09:54:50.000000,0.9.2,35.0,fasttext,conda-forge/fasttext,,,,2147.0,1957.0,https://pypi.org/project/fasttext,2020-04-28 09:54:50.000000,190.0,358156.0,358617.0,https://anaconda.org/conda-forge/fasttext,2020-10-12 14:55:45.199000,20745.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n96,DeepSpeech,mozilla/DeepSpeech,,audio,https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53.000000,2021-06-27 04:28:59.000000,2021-05-13 16:09:11.000000,3125,103.0,1912.0,17698.0,3462.0,\"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..\",161.0,30,True,2020-12-10 17:22:09.000000,0.9.3,100.0,deepspeech,,,,['tensorflow'],580.0,522.0,https://pypi.org/project/deepspeech,2020-12-19 10:05:12.000000,58.0,9710.0,27614.0,,,,,,,,1.0,608765.0,,,,,,,6.0,,,,,,,,,,,,,\n97,fairseq,pytorch/fairseq,,nlp,https://github.com/pytorch/fairseq,https://github.com/pytorch/fairseq,MIT,2017-08-29 16:26:12.000000,2021-07-13 18:05:34.000000,2021-07-13 03:29:31.000000,3358,882.0,1939.0,13309.0,1955.0,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,341.0,30,True,2021-01-05 20:26:45.000000,0.10.2,13.0,fairseq,,,,['pytorch'],472.0,452.0,https://pypi.org/project/fairseq,2021-01-05 20:26:45.000000,20.0,27015.0,27018.0,,,,,,,,2.0,135.0,,,,,,,,,,,,,,,,,,,,\n98,pyecharts,pyecharts/pyecharts,,data-viz,https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000000,2021-06-10 07:11:57.000000,2021-05-07 10:24:17.000000,2457,21.0,1432.0,11216.0,1515.0,Python Echarts Plotting Library.,30.0,30,True,2020-10-29 15:14:08.000000,1.9.0,66.0,pyecharts,,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,['jupyter'],2013.0,1731.0,https://pypi.org/project/pyecharts,2020-10-29 15:14:08.000000,282.0,56438.0,56438.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n99,Sonnet,deepmind/sonnet,,ml-frameworks,https://github.com/deepmind/sonnet,https://github.com/deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35.000000,2021-06-18 19:02:40.000000,2021-06-18 19:02:30.000000,1271,19.0,140.0,8896.0,545.0,TensorFlow-based neural network library.,52.0,30,True,2020-03-27 10:36:19.000000,2.0.0,27.0,dm-sonnet,conda-forge/sonnet,,,['tensorflow'],701.0,619.0,https://pypi.org/project/dm-sonnet,2020-03-27 10:36:10.000000,82.0,527362.0,527881.0,https://anaconda.org/conda-forge/sonnet,2020-11-14 18:13:23.843000,10391.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n100,Annoy,spotify/annoy,,nn-search,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40.000000,2021-07-14 16:38:13.000000,2021-07-14 16:38:13.000000,914,37.0,282.0,8740.0,824.0,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,70.0,30,True,2020-09-18 16:07:59.000000,1.17.0,43.0,annoy,,,,,2025.0,1665.0,https://pypi.org/project/annoy,2020-09-18 16:07:59.000000,360.0,577820.0,577820.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n101,glfw,glfw/glfw,,image,https://github.com/glfw/glfw,https://github.com/glfw/glfw,Zlib,2013-04-18 15:24:53.000000,2021-07-08 20:22:22.000000,2021-06-25 18:19:40.000000,2909,464.0,1027.0,7838.0,4261.0,\"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.\",168.0,30,False,2021-04-08 17:55:06.000000,3.3.4,38.0,glfw,conda-forge/glfw,,,,214.0,,https://pypi.org/project/glfw,2021-02-28 20:43:49.000000,214.0,227485.0,259948.0,https://anaconda.org/conda-forge/glfw,2021-04-08 18:43:30.580000,34691.0,,,,,2.0,2376344.0,,,,,,,,,,,,,,,,,,,,\n102,TextBlob,sloria/TextBlob,,nlp,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18.000000,2021-07-15 12:14:12.000000,2021-05-10 13:15:20.000000,995,85.0,151.0,7731.0,535.0,\"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..\",34.0,30,True,2019-02-24 23:03:17.000000,0.15.3,55.0,textblob,conda-forge/textblob,,,,15914.0,13422.0,https://pypi.org/project/textblob,2019-02-24 23:03:17.000000,2492.0,603092.0,605241.0,https://anaconda.org/conda-forge/textblob,2019-02-24 23:32:55.233000,126835.0,,,,,2.0,93.0,,,,,,,,,,,,,,,,,,,,\n103,Vowpal Wabbit,VowpalWabbit/vowpal_wabbit,,ml-frameworks,https://github.com/VowpalWabbit/vowpal_wabbit,https://github.com/VowpalWabbit/vowpal_wabbit,BSD-3-Clause,2009-07-31 19:36:58.000000,2021-07-15 13:13:26.000000,2021-07-15 10:29:19.000000,1747,153.0,929.0,7617.0,9280.0,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,301.0,30,True,2021-07-14 18:02:58.000000,8.11.0,18.0,vowpalwabbit,,,,,168.0,152.0,https://pypi.org/project/vowpalwabbit,2021-07-14 18:02:58.000000,16.0,22570.0,22570.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n104,tensorboardX,lanpa/tensorboardX,,ml-experiments,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19.000000,2021-07-09 12:39:08.000000,2021-07-09 12:39:08.000000,818,68.0,359.0,7026.0,473.0,\"tensorboard for pytorch (and chainer, mxnet, numpy, ...).\",67.0,30,True,2021-07-09 12:36:58.000000,2.4,15.0,tensorboardX,conda-forge/tensorboardx,,,,14552.0,13218.0,https://pypi.org/project/tensorboardX,2021-06-30 12:49:17.000000,1334.0,1097080.0,1107023.0,https://anaconda.org/conda-forge/tensorboardx,2021-04-06 13:33:53.253000,417386.0,,,,,2.0,332.0,,,,,,,,,,,,,,,,,,,,\n105,Catboost,catboost/catboost,,ml-frameworks,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000000,2021-07-15 12:20:47.000000,2021-07-15 12:20:43.000000,897,313.0,1214.0,5953.0,17054.0,\"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..\",829.0,30,True,2021-06-03 23:41:35.000000,0.26,94.0,catboost,conda-forge/catboost,,,,162.0,,https://pypi.org/project/catboost,2021-06-03 22:58:51.000000,162.0,1963801.0,1984790.0,https://anaconda.org/conda-forge/catboost,2021-06-04 00:28:01.925000,748186.0,,,,,2.0,59824.0,,,,,,,,,,,,,,,,,,,,\n106,PyMC3,pymc-devs/pymc3,,probabilistics,https://github.com/pymc-devs/pymc3,https://github.com/pymc-devs/pymc3,Apache-2.0,2009-05-05 09:43:50.000000,2021-07-15 08:39:36.000000,2021-07-13 17:32:52.000000,1371,199.0,2107.0,5899.0,,Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara.,320.0,30,True,2021-03-14 22:31:10.000000,3.11.2,33.0,pymc3,conda-forge/pymc3,,,,3030.0,2744.0,https://pypi.org/project/pymc3,2021-03-14 22:31:10.000000,286.0,644803.0,650043.0,https://anaconda.org/conda-forge/pymc3,2021-06-21 12:14:19.509000,298609.0,,,,,1.0,167.0,,,,,,,,,,,,,,,,,,,,\n107,SpeechRecognition,Uberi/speech_recognition,,audio,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54.000000,2021-07-07 12:44:37.000000,2019-07-02 17:29:47.000000,1937,226.0,275.0,5723.0,360.0,\"Speech recognition module for Python, supporting several engines and APIs, online and offline.\",41.0,30,False,2017-12-05 14:05:14.000000,3.8.1,52.0,SpeechRecognition,conda-forge/speechrecognition,,,,10422.0,9334.0,https://pypi.org/project/SpeechRecognition,2017-12-05 13:58:29.000000,1088.0,231535.0,233562.0,https://anaconda.org/conda-forge/speechrecognition,2021-01-11 17:26:33.040000,119641.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n108,sentence-transformers,UKPLab/sentence-transformers,,nlp,https://github.com/UKPLab/sentence-transformers,https://github.com/UKPLab/sentence-transformers,Apache-2.0,2019-07-24 10:53:51.000000,2021-07-14 12:51:12.000000,2021-07-14 12:51:04.000000,1044,469.0,506.0,5551.0,942.0,Multilingual Sentence & Image Embeddings with BERT.,57.0,30,True,2021-06-24 16:16:11.000000,2.0.0,39.0,sentence-transformers,,,,['pytorch'],1273.0,1273.0,https://pypi.org/project/sentence-transformers,2021-06-24 15:02:44.000000,0.0,483086.0,483086.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n109,GluonCV,dmlc/gluon-cv,,image,https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21.000000,2021-07-15 09:00:51.000000,2021-07-13 00:23:44.000000,1098,64.0,712.0,4821.0,873.0,Gluon CV Toolkit.,114.0,30,True,2021-06-15 21:17:32.000000,0.10.3,1153.0,gluoncv,,,,['mxnet'],574.0,544.0,https://pypi.org/project/gluoncv,2021-07-15 09:00:51.000000,30.0,476655.0,476655.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n110,PyCaret,pycaret/pycaret,,ml-experiments,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000000,2021-07-15 07:51:28.000000,2021-07-08 16:22:58.000000,834,152.0,811.0,3726.0,1840.0,\"An open-source, low-code machine learning library in Python.\",55.0,30,True,2021-07-07 00:30:24.000000,2.3.2,71.0,pycaret,,,,,1102.0,1102.0,https://pypi.org/project/pycaret,2021-07-07 00:30:24.000000,0.0,91163.0,91198.0,,,,,,,,2.0,422.0,,,,,,,,,,,,,,,,,,,,\n111,Tesseract,madmaze/pytesseract,,ocr,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000000,2021-07-13 19:23:51.000000,2021-07-13 19:23:46.000000,539,10.0,259.0,3683.0,403.0,Python-tesseract is an optical character recognition (OCR) tool for python.,38.0,30,True,2021-06-28 23:00:22.000000,0.3.8,25.0,pytesseract,conda-forge/pytesseract,,,,1428.0,,https://pypi.org/project/pytesseract,2021-06-28 23:00:22.000000,1428.0,1391014.0,1410316.0,https://anaconda.org/conda-forge/pytesseract,2021-06-05 17:42:22.118000,463248.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n112,Ignite,pytorch/ignite,,ml-frameworks,https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000000,2021-07-15 11:52:05.000000,2021-07-15 08:48:31.000000,465,128.0,748.0,3608.0,1162.0,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,144.0,30,True,2021-06-24 22:53:22.000000,0.4.5,617.0,pytorch-ignite,pytorch/ignite,,,['pytorch'],1040.0,978.0,https://pypi.org/project/pytorch-ignite,2021-07-15 00:09:43.000000,62.0,60625.0,62315.0,https://anaconda.org/pytorch/ignite,2021-06-24 22:54:30.068000,62542.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n113,Dagster,dagster-io/dagster,,data-pipelines,https://github.com/dagster-io/dagster,https://github.com/dagster-io/dagster,Apache-2.0,2018-04-30 16:30:04.000000,2021-07-15 14:26:09.000000,2021-07-15 14:26:05.000000,397,634.0,2411.0,3563.0,8117.0,\"A data orchestrator for machine learning, analytics, and ETL.\",147.0,30,True,2021-07-09 18:28:11.000000,0.12.1,343.0,dagster,conda-forge/dagster,,,,200.0,196.0,https://pypi.org/project/dagster,2021-07-09 18:26:33.000000,4.0,299701.0,315632.0,https://anaconda.org/conda-forge/dagster,2021-06-25 19:36:19.719000,318627.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n114,tensorflow-probability,tensorflow/probability,,probabilistics,https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000000,2021-07-14 22:45:30.000000,2021-07-14 22:45:26.000000,905,480.0,595.0,3390.0,,Probabilistic reasoning and statistical analysis in TensorFlow.,416.0,30,True,2021-06-18 21:06:22.000000,0.13.0,38.0,tensorflow-probability,conda-forge/tensorflow-probability,,,['tensorflow'],5688.0,5436.0,https://pypi.org/project/tensorflow-probability,2021-06-18 17:30:03.000000,252.0,2051459.0,2052818.0,https://anaconda.org/conda-forge/tensorflow-probability,2021-06-21 12:46:28.642000,39425.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n115,torchtext,pytorch/text,,nlp,https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000000,2021-07-15 11:35:35.000000,2021-07-09 21:29:35.000000,648,316.0,325.0,2801.0,840.0,Data loaders and abstractions for text and NLP.,112.0,30,True,2021-06-15 16:03:12.000000,0.10.0,15.0,torchtext,,,,['pytorch'],5763.0,5081.0,https://pypi.org/project/torchtext,2021-06-15 15:32:07.000000,682.0,141443.0,141443.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n116,PyQtGraph,pyqtgraph/pyqtgraph,,data-viz,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21.000000,2021-07-15 04:26:30.000000,2021-07-12 16:57:01.000000,829,279.0,605.0,2478.0,2876.0,Fast data visualization and GUI tools for scientific / engineering applications.,201.0,30,True,2021-07-08 07:34:18.000000,pyqtgraph-0.12.2,15.0,pyqtgraph,conda-forge/pyqtgraph,,,,890.0,,https://pypi.org/project/pyqtgraph,2021-07-08 08:19:30.000000,890.0,78852.0,82302.0,https://anaconda.org/conda-forge/pyqtgraph,2021-07-08 16:50:03.536000,186346.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n117,AzureML SDK,Azure/MachineLearningNotebooks,,ml-experiments,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000000,2021-07-09 18:00:22.000000,2021-07-06 18:05:55.000000,1795,172.0,968.0,2396.0,1138.0,This is a publish-only repository. All pull requests are ignored. Python notebooks with ML and deep learning examples..,56.0,30,True,2021-06-21 16:39:13.000000,1.31.0,78.0,azureml-sdk,,,,,60.0,,https://pypi.org/project/azureml-sdk,2021-07-06 16:18:52.000000,60.0,697574.0,697586.0,,,,,,,,2.0,426.0,,,,,,,,,,,,,,,,,,,,\n118,scikit-optimize,scikit-optimize/scikit-optimize,,hyperopt,https://github.com/scikit-optimize/scikit-optimize,https://github.com/scikit-optimize/scikit-optimize,BSD-3-Clause,2016-03-20 21:10:54.000000,2021-06-22 12:20:42.000000,2021-06-22 12:20:42.000000,396,205.0,372.0,2134.0,1562.0,Sequential model-based optimization with a `scipy.optimize` interface.,74.0,30,True,2020-09-04 09:08:10.000000,0.8.1,22.0,scikit-optimize,conda-forge/scikit-optimize,,,,1971.0,1811.0,https://pypi.org/project/scikit-optimize,2020-09-04 09:08:10.000000,160.0,911530.0,918589.0,https://anaconda.org/conda-forge/scikit-optimize,2020-09-04 09:50:52.372000,338849.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n119,xarray,pydata/xarray,,data-containers,https://github.com/pydata/xarray,https://github.com/pydata/xarray,Apache-2.0,2013-09-30 17:21:10.000000,2021-07-15 14:25:02.000000,2021-07-15 14:09:13.000000,677,832.0,2105.0,2122.0,,N-D labeled arrays and datasets in Python.,325.0,30,True,2021-05-19 21:37:33.000000,0.18.2,59.0,xarray,conda-forge/xarray,,,,8007.0,6875.0,https://pypi.org/project/xarray,2021-05-19 21:37:33.000000,1132.0,1094226.0,1148448.0,https://anaconda.org/conda-forge/xarray,2021-05-20 01:43:54.980000,3470250.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n120,Geocoder,DenisCarriere/geocoder,,geospatial-data,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21.000000,2020-12-30 04:09:42.000000,2018-10-12 15:53:05.000000,260,90.0,217.0,1372.0,1251.0,Python Geocoder.,74.0,30,False,2018-04-04 12:34:51.000000,1.38.1,108.0,geocoder,conda-forge/geocoder,,,,4444.0,3600.0,https://pypi.org/project/geocoder,2018-04-04 12:34:51.000000,844.0,1838804.0,1840508.0,https://anaconda.org/conda-forge/geocoder,2019-06-27 16:40:50.469000,90346.0,,,,,2.0,,,,,,,,,,,,,,geocoder,,,,,,,\n121,torchaudio,pytorch/audio,,audio,https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000000,2021-07-15 11:33:51.000000,2021-07-14 01:34:45.000000,325,155.0,352.0,1367.0,919.0,\"Data manipulation and transformation for audio signal processing, powered by PyTorch.\",131.0,30,True,2021-06-15 15:32:33.000000,0.9.0,15.0,torchaudio,,,,['pytorch'],4087.0,4069.0,https://pypi.org/project/torchaudio,2021-06-15 15:29:03.000000,18.0,278483.0,278483.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n122,Bottleneck,pydata/bottleneck,,data-containers,https://github.com/pydata/bottleneck,https://github.com/pydata/bottleneck,BSD-2-Clause,2010-11-27 23:21:22.000000,2021-06-02 16:55:46.000000,2021-01-24 18:39:03.000000,73,33.0,177.0,626.0,1241.0,Fast NumPy array functions written in C.,21.0,30,True,2020-02-21 06:22:16.000000,1.3.2,21.0,Bottleneck,conda-forge/bottleneck,,,,26664.0,23772.0,https://pypi.org/project/Bottleneck,2020-02-21 06:22:16.000000,2892.0,616696.0,642689.0,https://anaconda.org/conda-forge/bottleneck,2021-01-21 02:48:32.623000,1611620.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n123,NIPYPE,nipy/nipype,,medical-data,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000000,2021-07-13 20:32:55.000000,2021-06-16 13:16:05.000000,456,337.0,883.0,574.0,14191.0,Workflows and interfaces for neuroimaging packages.,219.0,30,True,2020-11-28 17:23:30.000000,1.6.0,55.0,nipype,conda-forge/nipype,,,,857.0,665.0,https://pypi.org/project/nipype,2021-06-16 13:18:05.000000,192.0,63566.0,70629.0,https://anaconda.org/conda-forge/nipype,2021-07-13 18:06:39.806000,423790.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n124,snowballstemmer,snowballstem/snowball,,nlp,https://github.com/snowballstem/snowball,https://github.com/snowballstem/snowball,BSD-3-Clause,2013-02-23 07:17:42.000000,2021-07-15 14:00:37.000000,2021-05-31 05:42:16.000000,142,19.0,43.0,505.0,853.0,Snowball compiler and stemming algorithms.,26.0,30,True,2021-01-21 11:43:00.000000,2.1.0,9.0,snowballstemmer,conda-forge/snowballstemmer,,,,65850.0,52668.0,https://pypi.org/project/snowballstemmer,2021-01-21 11:43:00.000000,13182.0,5298462.0,5345445.0,https://anaconda.org/conda-forge/snowballstemmer,2021-01-21 23:16:54.597000,2772013.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n125,Face Recognition,ageitgey/face_recognition,,image,https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39.000000,2021-07-03 15:07:14.000000,2021-06-14 10:10:40.000000,11146,605.0,544.0,40713.0,219.0,The world's simplest facial recognition api for Python and the command line.,47.0,29,True,2018-08-21 18:34:21.000000,1.2.3,21.0,face_recognition,,,,['pytorch'],406.0,,https://pypi.org/project/face_recognition,2018-08-21 18:34:21.000000,406.0,59625.0,59633.0,,,,,,,,2.0,442.0,,,,,,,-1.0,,,,,,,,,,,,,\n126,detectron2,facebookresearch/detectron2,,image,https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000000,2021-07-14 22:51:08.000000,2021-07-14 22:51:03.000000,4492,118.0,2424.0,17227.0,1187.0,\"Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.\",168.0,29,True,2021-03-13 01:36:49.000000,0.4,8.0,,conda-forge/detectron2,,,['pytorch'],264.0,264.0,,,,,1781.0,https://anaconda.org/conda-forge/detectron2,2021-06-14 12:33:25.167000,24944.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n127,zipline,quantopian/zipline,,financial-data,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29.000000,2021-04-18 22:05:29.000000,2020-10-14 16:36:49.000000,4056,342.0,651.0,14185.0,6226.0,\"Zipline, a Pythonic Algorithmic Trading Library.\",152.0,29,True,2020-10-05 15:46:20.429000,1.4.1,30.0,zipline,,,,,902.0,744.0,https://pypi.org/project/zipline,2020-10-05 15:46:20.429000,158.0,5642.0,5642.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n128,Faiss,facebookresearch/faiss,,nn-search,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000000,2021-07-14 20:29:57.000000,2021-07-14 00:36:19.000000,2224,151.0,1388.0,14086.0,557.0,A library for efficient similarity search and clustering of dense vectors.,86.0,29,True,2021-06-09 09:16:17.000000,1.1.2,51.0,pymilvus,conda-forge/faiss,,,,431.0,425.0,https://pypi.org/project/pymilvus,2021-07-12 12:18:12.000000,6.0,19325.0,29180.0,https://anaconda.org/conda-forge/faiss,2021-04-19 13:07:02.042000,137974.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n129,Prophet,facebook/prophet,,time-series-data,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000000,2021-07-12 21:32:16.000000,2021-05-11 23:44:25.000000,3749,109.0,1539.0,13032.0,667.0,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,132.0,29,True,2021-04-02 23:45:16.000000,1.0,14.0,fbprophet,,,,,150.0,,https://pypi.org/project/fbprophet,2020-09-05 16:12:50.000000,150.0,919485.0,919496.0,,,,,,,,1.0,620.0,,,,,,,,,,,,,,,,,,,,\n130,EasyOCR,JaidedAI/EasyOCR,,ocr,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000000,2021-07-04 13:16:58.000000,2021-07-02 08:46:59.000000,1406,109.0,250.0,12027.0,422.0,\"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..\",80.0,29,True,2021-06-29 09:44:35.000000,1.4,23.0,easyocr,,,,,351.0,351.0,https://pypi.org/project/easyocr,2021-05-30 08:55:54.000000,0.0,52537.0,81602.0,,,,,,,,1.0,377850.0,,,,,,,,,,,,,,,,,,,,\n131,PyTorch Image Models,rwightman/pytorch-image-models,,image,https://github.com/rwightman/pytorch-image-models,https://github.com/rwightman/pytorch-image-models,Apache-2.0,2019-02-02 05:51:12.000000,2021-07-13 23:34:09.000000,2021-07-13 23:33:55.000000,1750,39.0,310.0,11607.0,1018.0,\"PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision..\",52.0,29,True,2021-06-30 16:35:55.000000,0.4.12,25.0,,,,,['pytorch'],790.0,790.0,,,,,18331.0,,,,,,,,2.0,476610.0,,,,,,,,,,,,,,,,,,,,\n132,PyTorch Geometric,rusty1s/pytorch_geometric,,graph,https://github.com/rusty1s/pytorch_geometric,https://github.com/rusty1s/pytorch_geometric,MIT,2017-10-06 16:03:03.000000,2021-07-15 10:20:43.000000,2021-07-15 10:20:40.000000,1985,794.0,1279.0,11503.0,4844.0,Geometric Deep Learning Extension Library for PyTorch.,182.0,29,True,2021-06-26 08:51:08.000000,1.7.2,28.0,torch-geometric,,,,['pytorch'],24.0,,https://pypi.org/project/torch-geometric,2021-06-26 08:51:08.000000,24.0,47060.0,47060.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n133,horovod,horovod/horovod,,distributed-ml,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000000,2021-07-14 19:14:55.000000,2021-07-14 06:49:55.000000,1875,258.0,1584.0,11424.0,998.0,\"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.\",125.0,29,True,2021-06-10 15:58:27.000000,0.22.1,66.0,horovod,,,,,435.0,395.0,https://pypi.org/project/horovod,2021-06-10 15:58:27.000000,40.0,46831.0,46831.0,,,,,,,,2.0,,stable/horovod,,,,,,,,,,,,,,,,,,,\n134,InsightFace,deepinsight/insightface,,image,https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,MIT,2017-09-01 00:36:51.000000,2021-07-15 06:42:39.000000,2021-07-15 06:42:39.000000,3251,844.0,763.0,9624.0,1689.0,Face Analysis Project on PyTorch and MXNet.,21.0,29,True,2021-07-08 07:03:37.000000,0.3.8,18.0,insightface,,,,['mxnet'],82.0,80.0,https://pypi.org/project/insightface,2021-07-09 06:38:29.000000,2.0,14813.0,14813.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n135,TFlearn,tflearn/tflearn,,ml-frameworks,https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,MIT,2016-03-31 12:05:53.000000,2021-01-25 09:41:59.000000,2020-11-30 04:34:51.000000,2429,563.0,362.0,9555.0,613.0,Deep learning library featuring a higher-level API for TensorFlow.,128.0,29,True,2020-11-11 19:26:11.000000,0.5.0,8.0,tflearn,,,,['tensorflow'],4369.0,3407.0,https://pypi.org/project/tflearn,2020-11-11 19:13:47.000000,962.0,27419.0,27419.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n136,Dopamine,google/dopamine,,reinforcement-learning,https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36.000000,2021-06-29 21:40:57.000000,2021-06-29 21:35:04.000000,1265,77.0,79.0,9465.0,241.0,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,14.0,29,True,2021-06-29 21:40:57.000000,3.2.1,39.0,dopamine-rl,,,,['tensorflow'],62.0,,https://pypi.org/project/dopamine-rl,2021-06-29 21:40:57.000000,62.0,2538737.0,2538737.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n137,Lime,marcotcr/lime,,interpretability,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10.000000,2021-06-09 19:11:03.000000,2021-06-09 19:11:03.000000,1409,63.0,512.0,8941.0,526.0,Lime: Explaining the predictions of any machine learning classifier.,60.0,29,True,2020-04-03 22:05:03.000000,0.2.0.0,38.0,lime,conda-forge/lime,,,,1512.0,1384.0,https://pypi.org/project/lime,2020-06-26 21:38:15.000000,128.0,359170.0,360565.0,https://anaconda.org/conda-forge/lime,2020-06-28 01:02:41.538000,76726.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n138,TPOT,EpistasisLab/tpot,,hyperopt,https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40.000000,2021-07-01 15:13:10.000000,2021-01-06 15:17:46.000000,1404,223.0,598.0,8119.0,2368.0,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,108.0,29,False,2021-01-06 15:20:08.000000,0.11.7,60.0,tpot,conda-forge/tpot,,,['sklearn'],1144.0,1064.0,https://pypi.org/project/tpot,2021-01-06 15:20:08.000000,80.0,20814.0,22966.0,https://anaconda.org/conda-forge/tpot,2021-03-05 04:04:38.005000,124873.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n139,pretrainedmodels,Cadene/pretrained-models.pytorch,,pytorch-utils,https://github.com/Cadene/pretrained-models.pytorch,https://github.com/Cadene/pretrained-models.pytorch,BSD-3-Clause,2017-04-09 15:54:23.000000,2021-06-21 20:44:46.000000,2020-04-16 08:02:22.000000,1686,90.0,89.0,8065.0,154.0,\"Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.\",22.0,29,False,2018-10-29 08:18:45.000000,0.7.4,16.0,pretrainedmodels,,,,['pytorch'],1213.0,1109.0,https://pypi.org/project/pretrainedmodels,2018-10-29 08:18:45.000000,104.0,90133.0,90133.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n140,AutoKeras,keras-team/autokeras,,hyperopt,https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20.000000,2021-06-30 04:23:13.000000,2021-06-30 04:19:22.000000,1297,62.0,698.0,8055.0,1262.0,AutoML library for deep learning.,129.0,29,True,2021-06-17 22:35:58.000000,1.0.15,49.0,autokeras,,,,['tensorflow'],218.0,204.0,https://pypi.org/project/autokeras,2021-06-17 22:35:58.000000,14.0,32934.0,32941.0,,,,,,,,1.0,335.0,,,,,,,,,,,,,,,,,,,,\n141,Modin,modin-project/modin,,data-containers,https://github.com/modin-project/modin,https://github.com/modin-project/modin,Apache-2.0,2018-06-21 21:35:05.000000,2021-07-15 14:41:17.000000,2021-07-15 14:41:16.000000,441,575.0,1294.0,6227.0,1435.0,Modin: Speed up your Pandas workflows by changing a single line of code.,78.0,29,True,2021-07-13 01:38:08.000000,0.10.1,39.0,modin,,,,['pandas'],426.0,408.0,https://pypi.org/project/modin,2021-07-13 01:36:41.000000,18.0,110601.0,116034.0,,,,,,,,2.0,195620.0,,,,,,,,,,,,,,,,,,,,\n142,tensorpack,tensorpack/tensorpack,,ml-frameworks,https://github.com/tensorpack/tensorpack,https://github.com/tensorpack/tensorpack,Apache-2.0,2015-12-25 23:08:44.000000,2021-06-16 07:40:50.000000,2021-06-16 07:40:50.000000,1793,11.0,1322.0,6047.0,2934.0,\"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.\",56.0,29,True,2020-04-24 19:01:06.000000,0.10.1,37.0,tensorpack,,,,['tensorflow'],898.0,822.0,https://pypi.org/project/tensorpack,2021-01-22 08:44:03.000000,76.0,19275.0,19277.0,,,,,,,,3.0,124.0,,,,,,,,,,,,,,,,,,,,\n143,faust,robinhood/faust,,data-pipelines,https://github.com/robinhood/faust,https://github.com/robinhood/faust,BSD-3-Clause,2017-03-08 18:36:11.000000,2021-06-24 17:38:27.000000,2020-10-09 12:59:42.000000,470,236.0,228.0,5654.0,4137.0,Python Stream Processing.,91.0,29,True,2020-02-25 22:57:18.000000,1.10.4,46.0,faust,,,,,828.0,800.0,https://pypi.org/project/faust,2020-02-25 22:57:18.000000,28.0,1071746.0,1071746.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n144,yfinance,ranaroussi/yfinance,,financial-data,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000000,2021-07-14 16:42:20.000000,2021-07-10 20:55:48.000000,1298,322.0,269.0,5345.0,,Yahoo! Finance market data downloader (+faster Pandas Datareader).,41.0,29,True,2021-07-10 20:28:59.000000,0.1.63,28.0,yfinance,ranaroussi/yfinance,,,,5670.0,5644.0,https://pypi.org/project/yfinance,2021-07-10 20:28:59.000000,26.0,299884.0,301083.0,https://anaconda.org/ranaroussi/yfinance,2021-07-10 20:29:09.532000,1199.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n145,Autograd,HIPS/autograd,,others,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23.000000,2021-04-22 18:19:00.000000,2021-03-03 09:27:58.000000,754,164.0,218.0,5325.0,1376.0,Efficiently computes derivatives of numpy code.,51.0,29,True,2017-08-24 17:00:41.000000,1.1.13,24.0,autograd,conda-forge/autograd,,,,2524.0,2180.0,https://pypi.org/project/autograd,2019-07-25 16:21:07.000000,344.0,993485.0,996507.0,https://anaconda.org/conda-forge/autograd,2019-07-25 18:29:55.493000,178353.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n146,Bayesian Optimization,fmfn/BayesianOptimization,,hyperopt,https://github.com/fmfn/BayesianOptimization,https://github.com/fmfn/BayesianOptimization,MIT,2014-06-06 08:18:56.000000,2021-05-01 01:55:39.000000,2020-12-19 01:11:23.000000,1130,42.0,168.0,5229.0,199.0,A Python implementation of global optimization with gaussian processes.,27.0,29,True,2020-05-16 16:03:51.000000,1.2.0,8.0,bayesian-optimization,,,,,896.0,804.0,https://pypi.org/project/bayesian-optimization,2020-05-16 15:56:09.000000,92.0,118587.0,118588.0,,,,,,,,1.0,63.0,,,,,,,,,,,,,,,,,,,,\n147,TinyDB,msiemens/tinydb,,data-containers,https://github.com/msiemens/tinydb,https://github.com/msiemens/tinydb,MIT,2013-07-12 23:31:13.000000,2021-07-07 17:25:59.000000,2021-06-28 13:58:16.000000,389,12.0,254.0,4436.0,628.0,TinyDB is a lightweight document oriented database optimized for your happiness :).,67.0,29,True,2021-06-26 16:41:50.000000,4.5.0,60.0,tinydb,conda-forge/tinydb,,,,1118.0,,https://pypi.org/project/tinydb,2021-06-26 16:41:47.000000,1118.0,279522.0,281605.0,https://anaconda.org/conda-forge/tinydb,2021-02-11 21:20:33.462000,127091.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n148,Kornia,kornia/kornia,,image,https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000000,2021-07-13 19:42:10.000000,2021-07-13 19:42:09.000000,420,106.0,328.0,4260.0,1683.0,Open Source Differentiable Computer Vision Library for PyTorch.,110.0,29,True,2021-07-12 10:29:17.000000,0.5.6,19.0,kornia,,,,['pytorch'],494.0,494.0,https://pypi.org/project/kornia,2021-07-12 10:29:17.000000,0.0,130930.0,130931.0,,,,,,,,2.0,61.0,,,,,,,,,,,,,,,,,,,,\n149,kaggle,Kaggle/kaggle-api,,ml-experiments,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000000,2021-07-01 04:23:38.000000,2021-03-15 15:49:05.000000,811,177.0,127.0,4150.0,145.0,Official Kaggle API.,36.0,29,True,2021-03-13 00:50:03.000000,1.5.12,48.0,kaggle,conda-forge/kaggle,,,,6544.0,5980.0,https://pypi.org/project/kaggle,2021-03-13 00:50:03.000000,564.0,192661.0,195132.0,https://anaconda.org/conda-forge/kaggle,2021-03-16 16:09:03.613000,64261.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n150,Kedro,quantumblacklabs/kedro,,data-pipelines,https://github.com/quantumblacklabs/kedro,https://github.com/quantumblacklabs/kedro,Apache-2.0,2019-04-18 10:29:56.000000,2021-07-15 12:35:40.000000,2021-07-13 08:30:10.000000,468,38.0,464.0,4090.0,1267.0,\"A Python framework for creating reproducible, maintainable and modular data science code.\",113.0,29,True,2021-06-16 09:10:32.000000,0.17.4,28.0,kedro,,,,,530.0,514.0,https://pypi.org/project/kedro,2021-06-16 09:10:32.000000,16.0,211143.0,211143.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n151,Dedupe,dedupeio/dedupe,,nlp,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36.000000,2021-07-04 15:24:46.000000,2021-06-09 23:50:33.000000,433,63.0,586.0,3086.0,2823.0,\"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.\",56.0,29,True,2021-04-17 00:35:34.000000,2.0.8,159.0,dedupe,,,,,271.0,193.0,https://pypi.org/project/dedupe,2021-04-17 00:35:34.000000,78.0,110498.0,110498.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n152,ftfy,LuminosoInsight/python-ftfy,,nlp,https://github.com/LuminosoInsight/python-ftfy,https://github.com/LuminosoInsight/python-ftfy,MIT,2012-08-24 16:14:59.000000,2021-05-25 06:35:21.702000,2021-05-17 19:04:10.000000,102,13.0,106.0,2994.0,590.0,\"Fixes mojibake and other glitches in Unicode text, after the fact.\",18.0,29,True,2021-05-24 05:17:15.000000,6.0.3,45.0,ftfy,conda-forge/ftfy,,,,4298.0,3538.0,https://pypi.org/project/ftfy,2021-05-24 05:17:15.000000,760.0,1029507.0,1031727.0,https://anaconda.org/conda-forge/ftfy,2021-05-25 06:35:21.702000,113254.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n153,Koalas,databricks/koalas,,data-containers,https://github.com/databricks/koalas,https://github.com/databricks/koalas,Apache-2.0,2019-01-03 21:46:54.000000,2021-06-18 20:03:35.848000,2021-06-18 16:22:43.000000,317,121.0,449.0,2866.0,1542.0,Koalas: pandas API on Apache Spark.,50.0,29,True,2021-06-18 16:33:05.000000,1.8.1,46.0,koalas,conda-forge/koalas,,,\"['spark', 'pandas']\",106.0,104.0,https://pypi.org/project/koalas,2021-06-18 16:33:05.000000,2.0,3263132.0,3266741.0,https://anaconda.org/conda-forge/koalas,2021-06-18 20:03:35.848000,92936.0,,,,,2.0,998.0,,,,,,,,,,,,,,,,,,,,\n154,missingno,ResidentMario/missingno,,data-viz,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50.000000,2021-07-04 16:12:30.000000,2021-07-04 16:09:34.000000,371,9.0,101.0,2829.0,180.0,Missing data visualization module for Python.,17.0,29,True,2021-07-04 16:12:30.000000,0.5.0,24.0,missingno,conda-forge/missingno,,,,4479.0,4327.0,https://pypi.org/project/missingno,2021-07-04 16:12:30.000000,152.0,417117.0,419356.0,https://anaconda.org/conda-forge/missingno,2020-02-15 10:07:41.253000,107474.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n155,mrjob,Yelp/mrjob,,data-pipelines,https://github.com/Yelp/mrjob,https://github.com/Yelp/mrjob,Apache-2.0,2010-10-13 18:35:21.000000,2021-03-31 18:37:58.000000,2020-11-16 22:20:52.000000,590,202.0,1091.0,2555.0,8622.0,Run MapReduce jobs on Hadoop or Amazon Web Services.,142.0,29,True,2020-09-17 22:26:01.000000,0.7.4,60.0,mrjob,conda-forge/mrjob,,,,902.0,790.0,https://pypi.org/project/mrjob,2020-09-17 22:26:01.000000,112.0,112358.0,118837.0,https://anaconda.org/conda-forge/mrjob,2020-12-24 22:44:29.424000,375828.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n156,NMSLIB,nmslib/nmslib,,nn-search,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06.000000,2021-07-14 14:01:42.000000,2021-07-14 14:01:41.000000,351,49.0,330.0,2472.0,1507.0,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,45.0,29,True,2021-02-03 16:40:09.000000,2.1.1,32.0,nmslib,conda-forge/nmslib,,,,476.0,424.0,https://pypi.org/project/nmslib,2021-02-03 00:02:08.000000,52.0,101111.0,103467.0,https://anaconda.org/conda-forge/nmslib,2021-01-08 16:19:07.762000,35341.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n157,GPyTorch,cornellius-gp/gpytorch,,probabilistics,https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000000,2021-07-14 17:18:37.000000,2021-07-01 20:48:05.000000,356,215.0,727.0,2450.0,3456.0,A highly efficient and modular implementation of Gaussian Processes in PyTorch.,84.0,29,True,2021-06-24 16:29:38.000000,1.5.0,29.0,gpytorch,,,,['pytorch'],351.0,343.0,https://pypi.org/project/gpytorch,2021-06-24 16:29:38.000000,8.0,82913.0,82913.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n158,Keras Tuner,keras-team/keras-tuner,,hyperopt,https://github.com/keras-team/keras-tuner,https://github.com/keras-team/keras-tuner,Apache-2.0,2019-06-06 22:38:21.000000,2021-07-03 15:32:15.000000,2021-06-25 17:21:23.000000,290,174.0,165.0,2345.0,826.0,Hyperparameter tuning for humans.,35.0,29,True,2021-06-17 21:45:06.000000,1.0.3,6.0,keras-tuner,,,,['tensorflow'],731.0,727.0,https://pypi.org/project/keras-tuner,2021-06-17 21:45:06.000000,4.0,948142.0,948142.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n159,hmmlearn,hmmlearn/hmmlearn,,probabilistics,https://github.com/hmmlearn/hmmlearn,https://github.com/hmmlearn/hmmlearn,BSD-3-Clause,2014-03-23 10:33:09.000000,2021-07-08 13:27:20.000000,2021-07-08 13:27:01.000000,660,59.0,297.0,2293.0,366.0,\"Hidden Markov Models in Python, with scikit-learn like API.\",34.0,29,True,2021-02-03 14:33:20.000000,0.2.5,7.0,hmmlearn,conda-forge/hmmlearn,,,['sklearn'],1232.0,1026.0,https://pypi.org/project/hmmlearn,2021-02-03 14:32:44.000000,206.0,125885.0,128671.0,https://anaconda.org/conda-forge/hmmlearn,2021-02-04 16:23:17.046000,89159.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n160,ImageHash,JohannesBuchner/imagehash,,image,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48.000000,2021-07-15 12:35:11.000000,2021-07-15 12:34:46.000000,269,13.0,87.0,2022.0,200.0,A Python Perceptual Image Hashing Module.,18.0,29,True,2021-07-15 12:35:01.000000,4.2.1,18.0,ImageHash,conda-forge/imagehash,,,,3495.0,2963.0,https://pypi.org/project/ImageHash,2021-07-15 12:35:01.000000,532.0,877013.0,879411.0,https://anaconda.org/conda-forge/imagehash,2020-11-19 18:20:49.964000,134312.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n161,HoloViews,holoviz/holoviews,,data-viz,https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000000,2021-07-15 13:03:40.000000,2021-07-13 11:52:27.000000,316,744.0,1866.0,1935.0,10210.0,\"With Holoviews, your data visualizes itself.\",110.0,29,True,2021-05-22 18:09:55.000000,1.14.4,71.0,holoviews,conda-forge/holoviews,,,['jupyter'],170.0,,https://pypi.org/project/holoviews,2021-05-22 18:09:55.000000,170.0,131976.0,145541.0,https://anaconda.org/conda-forge/holoviews,2021-05-23 10:56:39.974000,530839.0,,,,,2.0,,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,2020-05-24 13:49:54.205000,,5004.0,,,,,,,,,,,,,,\n162,filterpy,rlabbe/filterpy,,probabilistics,https://github.com/rlabbe/filterpy,https://github.com/rlabbe/filterpy,MIT,2014-07-15 02:15:19.000000,2021-07-02 13:32:11.000000,2021-05-04 18:33:52.000000,433,34.0,151.0,1875.0,542.0,\"Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman..\",36.0,29,True,2018-10-10 22:38:24.000000,1.4.5,48.0,filterpy,conda-forge/filterpy,,,,1151.0,939.0,https://pypi.org/project/filterpy,2018-10-10 22:38:24.000000,212.0,562121.0,563441.0,https://anaconda.org/conda-forge/filterpy,2020-05-05 21:13:59.073000,64680.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n163,Lifelines,CamDavidsonPilon/lifelines,,medical-data,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42.000000,2021-07-14 19:23:10.000000,2021-07-14 19:23:02.000000,429,204.0,604.0,1654.0,2126.0,Survival analysis in Python.,96.0,29,True,2021-05-27 00:34:08.000000,0.26.0,157.0,lifelines,conda-forge/lifelines,,,,747.0,621.0,https://pypi.org/project/lifelines,2021-05-27 00:34:08.000000,126.0,241373.0,243919.0,https://anaconda.org/conda-forge/lifelines,2021-05-27 04:55:00.431000,155356.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n164,pyLDAvis,bmabey/pyLDAvis,,interpretability,https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03.000000,2021-06-24 14:14:46.000000,2021-03-24 13:03:31.000000,308,77.0,76.0,1485.0,240.0,Python library for interactive topic model visualization. Port of the R LDAvis package.,32.0,29,True,2021-03-24 13:05:21.000000,3.3.1,24.0,pyldavis,conda-forge/pyldavis,,,['jupyter'],2589.0,2391.0,https://pypi.org/project/pyldavis,2021-03-24 12:57:08.000000,198.0,207868.0,208576.0,https://anaconda.org/conda-forge/pyldavis,2021-03-24 15:17:07.309000,26222.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n165,ipyleaflet,jupyter-widgets/ipyleaflet,,geospatial-data,https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10.000000,2021-07-15 07:20:58.000000,2021-07-15 07:20:58.000000,300,165.0,265.0,1154.0,945.0,A Jupyter - Leaflet.js bridge.,68.0,29,True,2021-06-17 16:00:18.000000,0.14.0,71.0,ipyleaflet,conda-forge/ipyleaflet,,,['jupyter'],1036.0,936.0,https://pypi.org/project/ipyleaflet,2021-06-17 16:00:18.000000,98.0,47773.0,84161.0,https://anaconda.org/conda-forge/ipyleaflet,2021-06-17 16:32:56.948000,715480.0,,,,,3.0,,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2021-06-17 15:58:50.351000,2.0,24848.0,,,,,,,,,,,,,,\n166,Graphviz,xflr6/graphviz,,data-viz,https://github.com/xflr6/graphviz,https://github.com/xflr6/graphviz,MIT,2014-01-12 17:49:29.000000,2021-07-14 07:29:02.000000,2021-07-14 07:26:18.000000,148,9.0,104.0,1022.0,481.0,Simple Python interface for Graphviz.,15.0,29,True,2020-10-07 09:06:41.000000,0.14.2,48.0,graphviz,,,,,26399.0,22017.0,https://pypi.org/project/graphviz,2021-07-14 07:23:59.000000,4382.0,5530960.0,5530960.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n167,Keras-Preprocessing,keras-team/keras-preprocessing,,tensorflow-utils,https://github.com/keras-team/keras-preprocessing,https://github.com/keras-team/keras-preprocessing,MIT,2018-05-30 22:43:36.000000,2021-07-02 00:20:02.000000,2021-02-04 19:43:30.000000,420,93.0,100.0,963.0,284.0,\"Utilities for working with image data, text data, and sequence data.\",50.0,29,True,2020-05-14 03:53:47.000000,1.1.2,12.0,keras-preprocessing,conda-forge/keras-preprocessing,,,['tensorflow'],2736.0,,https://pypi.org/project/keras-preprocessing,2020-05-14 03:53:47.000000,2736.0,6376207.0,6403505.0,https://anaconda.org/conda-forge/keras-preprocessing,2021-01-15 12:28:58.923000,1010057.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n168,TensorFlow Transform,tensorflow/transform,,tensorflow-utils,https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53.000000,2021-07-01 22:38:06.000000,2021-07-01 22:38:01.000000,173,20.0,145.0,877.0,669.0,Input pipeline framework.,27.0,29,True,2021-06-24 21:10:56.000000,1.1.0,39.0,tensorflow-transform,,,,['tensorflow'],589.0,505.0,https://pypi.org/project/tensorflow-transform,2021-06-24 21:10:56.000000,84.0,7254913.0,7254913.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n169,patsy,pydata/patsy,,probabilistics,https://github.com/pydata/patsy,https://github.com/pydata/patsy,BSD-2-Clause,2012-07-10 12:30:06.000000,2021-05-04 21:33:59.000000,2018-10-31 21:55:48.000000,85,78.0,53.0,762.0,517.0,Describing statistical models in Python using symbolic formulas.,13.0,29,False,2018-10-28 05:07:55.000000,0.5.1,8.0,patsy,conda-forge/patsy,,,,42377.0,37453.0,https://pypi.org/project/patsy,2018-10-28 03:59:51.000000,4924.0,3731631.0,3786462.0,https://anaconda.org/conda-forge/patsy,2018-10-28 05:21:35.412000,3235045.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n170,NiBabel,nipy/nibabel,,medical-data,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30.000000,2021-07-13 03:30:39.000000,2021-06-25 19:40:13.000000,214,112.0,301.0,423.0,5037.0,Python package to access a cacophony of neuro-imaging file formats.,92.0,29,True,2020-11-28 22:19:50.000000,3.2.1,32.0,nibabel,conda-forge/nibabel,,,,6117.0,4853.0,https://pypi.org/project/nibabel,2020-11-28 22:18:23.000000,1264.0,160966.0,166725.0,https://anaconda.org/conda-forge/nibabel,2020-11-29 03:40:05.178000,357083.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n171,Rasa,RasaHQ/rasa,,nlp,https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49.000000,2021-07-15 13:58:04.000000,2021-07-15 12:54:32.000000,3602,742.0,4928.0,11691.0,,\"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..\",497.0,28,True,2021-07-12 16:54:22.000000,2.8.0,208.0,rasa,,,,['tensorflow'],64.0,,https://pypi.org/project/rasa,2021-07-12 16:54:09.000000,64.0,189574.0,189574.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n172,NNI,microsoft/nni,,hyperopt,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44.000000,2021-07-15 13:48:49.000000,2021-07-15 07:44:46.000000,1373,203.0,1123.0,9948.0,2191.0,\"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..\",139.0,28,True,2021-06-15 13:19:08.000000,2.3,42.0,nni,,,,,145.0,129.0,https://pypi.org/project/nni,2021-06-15 13:29:08.000000,16.0,15338.0,15338.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n173,dgl,dmlc/dgl,,graph,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000000,2021-07-15 09:54:33.000000,2021-07-15 03:51:56.000000,1637,248.0,871.0,7638.0,1845.0,\"Python package built to ease deep learning on graph, on top of existing DL frameworks.\",146.0,28,True,2021-04-08 03:22:48.000000,0.6.1,438.0,dgl,,,,,30.0,,https://pypi.org/project/dgl,2021-05-27 13:25:52.000000,30.0,90744.0,90744.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n174,Jina,jina-ai/jina,,ml-frameworks,https://github.com/jina-ai/jina,https://github.com/jina-ai/jina,Apache-2.0,2020-02-13 17:04:44.000000,2021-07-15 13:39:31.000000,2021-07-15 10:28:28.000000,1029,61.0,840.0,7623.0,5815.0,Cloud-native neural search framework for kind of data.,108.0,28,True,2021-07-12 14:40:31.000000,2.0.7,930.0,jina,,jinaai/jina,,,110.0,110.0,https://pypi.org/project/jina,2021-07-15 10:30:05.000000,,30397.0,74097.0,,,,https://hub.docker.com/r/jinaai/jina,2021-07-15 10:55:27.929994,4.0,742915.0,3.0,,,,,,,,,,,,,,,,,,,,,\n175,Pyro,pyro-ppl/pyro,,probabilistics,https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000000,2021-07-07 13:44:18.000000,2021-07-06 23:40:56.000000,854,165.0,717.0,7013.0,2248.0,Deep universal probabilistic programming with Python and PyTorch.,111.0,28,True,2021-07-06 23:56:51.000000,1.7.0,27.0,pyro-ppl,,,,['pytorch'],524.0,488.0,https://pypi.org/project/pyro-ppl,2021-07-07 00:00:51.000000,36.0,52258.0,52258.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n176,auto-sklearn,automl/auto-sklearn,,hyperopt,https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10.000000,2021-07-15 09:52:44.000000,2021-05-14 06:46:51.000000,1016,106.0,636.0,5528.0,2458.0,Automated Machine Learning with scikit-learn.,66.0,28,True,2021-04-20 16:07:35.000000,0.12.6,31.0,auto-sklearn,,,,['sklearn'],212.0,182.0,https://pypi.org/project/auto-sklearn,2021-04-20 16:07:35.000000,30.0,21799.0,21799.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n177,DeepPavlov,deepmipt/DeepPavlov,,nlp,https://github.com/deepmipt/DeepPavlov,https://github.com/deepmipt/DeepPavlov,Apache-2.0,2017-11-17 14:35:29.000000,2021-07-15 11:57:49.000000,2021-05-14 10:17:11.000000,960,126.0,464.0,5295.0,2595.0,An open source library for deep learning end-to-end dialog systems and chatbots.,63.0,28,True,2021-05-14 10:27:41.000000,0.15.0,43.0,deeppavlov,,,,['tensorflow'],217.0,209.0,https://pypi.org/project/deeppavlov,2021-05-14 10:27:41.000000,8.0,9303.0,9303.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n178,Datasette,simonw/datasette,,others,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000000,2021-07-15 01:51:54.000000,2021-07-15 01:51:36.000000,321,280.0,825.0,5229.0,1702.0,An open source multi-tool for exploring and publishing data.,56.0,28,True,2021-07-15 00:37:57.000000,0.58,100.0,datasette,,,,,513.0,443.0,https://pypi.org/project/datasette,2021-07-15 00:44:19.000000,70.0,115885.0,115885.0,,,,,,,,1.0,31.0,,,,,,,-1.0,,datasette,,,,,,,,,,,\n179,OpenNMT,OpenNMT/OpenNMT-py,,nlp,https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000000,2021-06-16 13:17:51.000000,2021-06-16 13:17:51.000000,1869,113.0,1158.0,5113.0,2568.0,Open Source Neural Machine Translation in PyTorch.,170.0,28,True,2021-04-30 16:41:28.000000,2.1.2,31.0,OpenNMT-py,,,,['pytorch'],96.0,92.0,https://pypi.org/project/OpenNMT-py,2021-04-30 16:41:28.000000,4.0,3622.0,3622.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n180,Tokenizers,huggingface/tokenizers,,nlp,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000000,2021-07-05 08:11:54.000000,2021-05-24 21:31:01.000000,362,120.0,349.0,4685.0,1463.0,Fast State-of-the-Art Tokenizers optimized for Research and Production.,40.0,28,True,2021-05-24 21:47:49.000000,0.10.3,62.0,tokenizers,conda-forge/tokenizers,,,,35.0,35.0,https://pypi.org/project/tokenizers,2021-05-24 21:47:49.000000,0.0,3107249.0,3112853.0,https://anaconda.org/conda-forge/tokenizers,2021-03-10 20:31:28.913000,67252.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n181,PyOD,yzhao062/pyod,,others,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04.000000,2021-07-12 19:23:01.000000,2021-07-04 15:32:35.000000,933,122.0,91.0,4648.0,1286.0,(JMLR'19) A Python Toolbox for Scalable Outlier Detection (Anomaly Detection).,24.0,28,True,2021-07-07 13:02:23.000000,V0.9.0,68.0,pyod,,,,,748.0,742.0,https://pypi.org/project/pyod,2021-07-04 15:35:44.000000,6.0,204235.0,204235.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n182,librosa,librosa/librosa,,audio,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000000,2021-07-13 15:26:00.000000,2021-07-01 13:06:00.000000,739,48.0,838.0,4610.0,,Python library for audio and music analysis.,90.0,28,True,2021-05-26 10:15:06.000000,0.8.1,31.0,librosa,conda-forge/librosa,,,,1750.0,,https://pypi.org/project/librosa,2021-05-26 10:15:06.000000,1750.0,643891.0,649987.0,https://anaconda.org/conda-forge/librosa,2021-05-26 10:44:27.607000,365765.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n183,DEAP,deap/deap,,distributed-ml,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39.000000,2021-07-09 22:52:46.000000,2021-05-08 10:26:27.000000,913,219.0,227.0,4288.0,2149.0,Distributed Evolutionary Algorithms in Python.,68.0,28,False,2020-01-21 01:18:06.000000,1.3.1,16.0,deap,conda-forge/deap,,,,2462.0,1980.0,https://pypi.org/project/deap,2020-01-21 01:18:06.000000,482.0,133894.0,136177.0,https://anaconda.org/conda-forge/deap,2021-01-13 14:43:13.393000,139269.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n184,espnet,espnet/espnet,,audio,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000000,2021-07-15 13:40:34.000000,2021-07-15 13:33:04.000000,1241,219.0,1190.0,3933.0,11472.0,End-to-End Speech Processing Toolkit.,165.0,28,True,2021-06-22 01:03:33.000000,0.10.0,36.0,espnet,,,,,12.0,12.0,https://pypi.org/project/espnet,2021-06-22 01:03:33.000000,0.0,3514.0,3515.0,,,,,,,,2.0,73.0,,,,,,,,,,,,,,,,,,,,\n185,pyfolio,quantopian/pyfolio,,financial-data,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39.000000,2021-06-07 17:20:04.000000,2020-07-15 13:46:58.000000,1231,132.0,264.0,3913.0,1184.0,Portfolio and risk analytics in Python.,55.0,28,True,2019-04-15 15:00:21.000000,0.9.2,22.0,pyfolio,conda-forge/pyfolio,,,,336.0,282.0,https://pypi.org/project/pyfolio,2019-04-15 15:00:21.000000,54.0,8058.0,8222.0,https://anaconda.org/conda-forge/pyfolio,2020-05-16 14:11:57.267000,6757.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n186,imutils,jrosebr1/imutils,,image,https://github.com/jrosebr1/imutils,https://github.com/jrosebr1/imutils,MIT,2015-01-11 20:05:39.000000,2021-06-04 12:14:51.000000,2021-01-15 10:46:45.000000,910,140.0,76.0,3727.0,138.0,\"A series of convenience functions to make basic image processing operations such as translation, rotation, resizing,..\",20.0,28,True,2021-01-15 10:53:17.000000,0.5.4,29.0,imutils,conda-forge/imutils,,,,17781.0,16585.0,https://pypi.org/project/imutils,2021-01-15 10:53:17.000000,1196.0,276445.0,278764.0,https://anaconda.org/conda-forge/imutils,2021-01-15 14:27:25.471000,57977.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n187,huey,coleifer/huey,,data-pipelines,https://github.com/coleifer/huey,https://github.com/coleifer/huey,MIT,2011-11-03 16:39:43.000000,2021-06-23 16:02:47.000000,2021-06-23 16:02:39.000000,306,,460.0,3578.0,914.0,a little task queue for python.,65.0,28,True,2021-04-20 13:47:00.000000,2.3.2,59.0,huey,conda-forge/huey,,,,1039.0,753.0,https://pypi.org/project/huey,2021-04-20 13:46:36.000000,286.0,41699.0,42217.0,https://anaconda.org/conda-forge/huey,2019-10-16 15:34:27.487000,20206.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n188,sacred,IDSIA/sacred,,ml-experiments,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29.000000,2021-06-28 09:41:43.000000,2021-06-28 09:41:43.000000,319,92.0,421.0,3521.0,1310.0,\"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.\",93.0,28,True,2020-12-14 15:21:05.000000,0.8.2,27.0,sacred,,,,,1138.0,984.0,https://pypi.org/project/sacred,2020-12-14 15:21:05.000000,154.0,24174.0,24174.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n189,dyNET,clab/dynet,,ml-frameworks,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21.000000,2021-06-08 19:03:01.000000,2021-01-27 15:43:03.000000,703,259.0,661.0,3234.0,3267.0,DyNet: The Dynamic Neural Network Toolkit.,156.0,28,True,2020-10-21 14:31:01.000000,2.1.2,24.0,dyNET,,,,,220.0,182.0,https://pypi.org/project/dyNET,2020-10-21 14:31:01.000000,38.0,17673.0,17731.0,,,,,,,,3.0,3323.0,,,,,,,,,,,,,,,,,,,,\n190,bqplot,bqplot/bqplot,,data-viz,https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18.000000,2021-07-15 14:22:28.000000,2021-07-15 12:49:54.000000,409,192.0,346.0,3114.0,3401.0,Plotting library for IPython/Jupyter notebooks.,53.0,28,True,2021-06-08 14:43:56.000000,0.12.29,96.0,bqplot,conda-forge/bqplot,,,['jupyter'],148.0,26.0,https://pypi.org/project/bqplot,2021-06-08 14:39:27.000000,112.0,64462.0,87351.0,https://anaconda.org/conda-forge/bqplot,2021-06-08 14:57:52.705000,683008.0,,,,,2.0,,,bqplot,https://www.npmjs.com/package/bqplot,2021-06-08 14:36:47.182000,10.0,11873.0,,,,,,,,,,,,,,\n191,Gradio,gradio-app/gradio,,others,https://github.com/gradio-app/gradio,https://github.com/gradio-app/gradio,Apache-2.0,2018-12-19 08:24:04.000000,2021-07-15 01:20:48.000000,2021-07-15 01:20:47.000000,190,18.0,130.0,2982.0,1134.0,\"Wrap UIs around any model, share with anyone.\",22.0,28,True,2021-07-15 01:20:40.000000,2.2.1,115.0,gradio,,,,,201.0,199.0,https://pypi.org/project/gradio,2021-07-15 01:20:40.000000,2.0,9570.0,9570.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n192,Blaze,blaze/blaze,,data-containers,https://github.com/blaze/blaze,https://github.com/blaze/blaze,BSD-3-Clause,2012-10-26 14:25:22.000000,2020-02-01 19:33:09.000000,2019-08-15 21:14:59.000000,373,262.0,500.0,2965.0,7496.0,NumPy and Pandas interface to Big Data.,64.0,28,False,2016-07-19 20:40:03.000000,0.11.0,14.0,blaze,conda-forge/blaze,,,,9405.0,7783.0,https://pypi.org/project/blaze,2016-05-06 21:19:21.000000,1622.0,10715.0,14809.0,https://anaconda.org/conda-forge/blaze,2018-07-15 22:16:17.685000,192443.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n193,plotnine,has2k1/plotnine,,data-viz,https://github.com/has2k1/plotnine,https://github.com/has2k1/plotnine,GPL-2.0,2017-04-24 19:00:44.000000,2021-06-29 19:47:35.000000,2021-05-24 08:44:04.000000,143,63.0,373.0,2734.0,1698.0,A grammar of graphics for Python.,85.0,28,False,2021-03-25 12:57:10.000000,0.8.0,11.0,plotnine,conda-forge/plotnine,,,,2420.0,2166.0,https://pypi.org/project/plotnine,2021-03-25 10:49:20.000000,254.0,192133.0,194435.0,https://anaconda.org/conda-forge/plotnine,2021-03-25 12:31:04.423000,115107.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n194,datashader,holoviz/datashader,,data-viz,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000000,2021-06-10 09:04:19.929000,2021-06-05 20:55:59.000000,328,123.0,351.0,2542.0,1295.0,Quickly and accurately render even the largest data.,43.0,28,True,2021-06-09 23:30:20.000000,0.13.0,24.0,datashader,conda-forge/datashader,,,,817.0,747.0,https://pypi.org/project/datashader,2021-06-09 22:59:52.000000,70.0,39840.0,44384.0,https://anaconda.org/conda-forge/datashader,2021-06-10 09:04:19.929000,199958.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n195,sklearn-pandas,scikit-learn-contrib/sklearn-pandas,,data-containers,https://github.com/scikit-learn-contrib/sklearn-pandas,https://github.com/scikit-learn-contrib/sklearn-pandas,Zlib,2013-04-22 22:55:20.000000,2021-05-08 08:31:08.000000,2021-05-08 08:05:59.000000,393,25.0,125.0,2451.0,287.0,Pandas integration with sklearn.,37.0,28,False,2021-05-08 08:32:08.000000,2.1.0,27.0,sklearn-pandas,,,,\"['sklearn', 'pandas']\",2770.0,2548.0,https://pypi.org/project/sklearn-pandas,2021-05-08 08:14:28.000000,222.0,181192.0,181192.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n196,Cufflinks,santosjorge/cufflinks,,data-viz,https://github.com/santosjorge/cufflinks,https://github.com/santosjorge/cufflinks,MIT,2014-11-19 20:59:33.000000,2021-02-25 05:05:09.000000,2021-02-25 05:05:09.000000,535,81.0,122.0,2237.0,452.0,Productivity Tools for Plotly + Pandas.,38.0,28,True,2020-03-01 17:42:01.000000,0.17.3,27.0,cufflinks,,,,['pandas'],4029.0,3795.0,https://pypi.org/project/cufflinks,2020-03-01 17:42:01.000000,234.0,151690.0,151690.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n197,TF-Agents,tensorflow/agents,,reinforcement-learning,https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000000,2021-07-14 23:26:25.000000,2021-07-14 23:25:44.000000,536,112.0,369.0,1966.0,1812.0,\"TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.\",97.0,28,True,2021-05-16 23:41:49.000000,0.8.0,22.0,tf-agents,,,,['tensorflow'],530.0,518.0,https://pypi.org/project/tf-agents,2021-05-16 23:41:49.000000,12.0,20138.0,20138.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n198,hdbscan,scikit-learn-contrib/hdbscan,,others,https://github.com/scikit-learn-contrib/hdbscan,https://github.com/scikit-learn-contrib/hdbscan,BSD-3-Clause,2015-04-22 13:32:37.000000,2021-04-07 15:55:02.000000,2021-04-07 15:55:02.000000,339,230.0,147.0,1925.0,884.0,A high performance implementation of HDBSCAN clustering.,69.0,28,True,2021-02-03 20:21:02.000000,0.8.27,43.0,hdbscan,conda-forge/hdbscan,,,['sklearn'],1040.0,916.0,https://pypi.org/project/hdbscan,2021-02-03 20:21:02.000000,124.0,223242.0,235587.0,https://anaconda.org/conda-forge/hdbscan,2021-02-14 03:07:15.749000,740706.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n199,tesserocr,sirfz/tesserocr,,ocr,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36.000000,2021-07-03 00:21:46.000000,2021-06-19 22:44:28.000000,202,61.0,150.0,1478.0,167.0,A Python wrapper for the tesseract-ocr API.,26.0,28,True,2021-06-19 21:10:18.000000,2.5.2,16.0,tesserocr,conda-forge/tesserocr,,,,626.0,526.0,https://pypi.org/project/tesserocr,2021-06-19 21:10:18.000000,100.0,66064.0,68533.0,https://anaconda.org/conda-forge/tesserocr,2021-01-13 16:38:14.456000,51849.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n200,mleap,combust/mleap,,data-pipelines,https://github.com/combust/mleap,https://github.com/combust/mleap,Apache-2.0,2016-08-23 03:51:03.000000,2021-07-14 20:22:13.000000,2021-06-17 04:47:43.000000,278,86.0,343.0,1268.0,814.0,MLeap: Deploy ML Pipelines to Production.,67.0,28,True,2021-05-07 20:42:11.000000,0.17.0,6.0,mleap,conda-forge/mleap,,,,185.0,153.0,https://pypi.org/project/mleap,2021-05-07 20:42:11.000000,32.0,514324.0,515672.0,https://anaconda.org/conda-forge/mleap,2021-05-10 09:48:39.778000,36399.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n201,TF Model Optimization,tensorflow/model-optimization,,tensorflow-utils,https://github.com/tensorflow/model-optimization,https://github.com/tensorflow/model-optimization,Apache-2.0,2018-10-31 20:34:28.000000,2021-07-15 00:15:38.000000,2021-07-09 08:13:56.000000,247,82.0,127.0,1075.0,611.0,\"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.\",54.0,28,True,2021-06-18 06:40:44.000000,0.6.0,23.0,tensorflow-model-optimization,,,,['tensorflow'],984.0,978.0,https://pypi.org/project/tensorflow-model-optimization,2021-06-18 06:24:07.000000,6.0,252436.0,252436.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n202,Mesh,tensorflow/mesh,,distributed-ml,https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34.000000,2021-07-13 13:06:10.000000,2021-07-12 19:56:03.000000,172,79.0,13.0,1066.0,617.0,Mesh TensorFlow: Model Parallelism Made Easier.,42.0,28,True,2021-03-24 19:03:46.000000,0.1.19,25.0,mesh-tensorflow,,,,['tensorflow'],606.0,550.0,https://pypi.org/project/mesh-tensorflow,2021-03-24 19:03:46.000000,56.0,610232.0,610232.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n203,PyTables,PyTables/PyTables,,data-containers,https://github.com/PyTables/PyTables,https://github.com/PyTables/PyTables,BSD-3-Clause,2011-06-03 19:44:46.000000,2021-03-26 00:08:03.000000,2021-03-20 09:04:48.000000,204,168.0,452.0,1042.0,3954.0,A Python package to manage extremely large amounts of data.,98.0,28,True,2019-10-30 19:33:37.000000,3.6.1,25.0,tables,conda-forge/pytables,,,,3754.0,,https://pypi.org/project/tables,2019-10-30 19:33:37.000000,3754.0,758498.0,806506.0,https://anaconda.org/conda-forge/pytables,2021-01-14 18:41:06.536000,2832404.0,,,,,2.0,159.0,,,,,,,,,,,,,,,,,,,,\n204,pmdarima,alkaline-ml/pmdarima,,time-series-data,https://github.com/alkaline-ml/pmdarima,https://github.com/alkaline-ml/pmdarima,MIT,2017-03-30 14:58:30.000000,2021-07-06 04:46:24.000000,2021-05-07 13:18:59.000000,171,21.0,222.0,928.0,1030.0,\"A statistical library designed to fill the void in Python's time series analysis capabilities, including the..\",18.0,28,True,2021-04-19 22:17:02.000000,1.8.2,33.0,pmdarima,,,,,1180.0,1168.0,https://pypi.org/project/pmdarima,2021-04-19 22:17:02.000000,12.0,529310.0,529310.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n205,igraph,igraph/python-igraph,,graph,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16.000000,2021-07-13 07:23:05.000000,2021-07-12 09:39:56.000000,196,28.0,296.0,839.0,1751.0,Python interface for igraph.,53.0,28,False,2021-06-12 08:08:59.000000,0.9.6,23.0,python-igraph,conda-forge/igraph,,,,2196.0,1772.0,https://pypi.org/project/python-igraph,2021-06-12 08:23:34.000000,424.0,111678.0,119346.0,https://anaconda.org/conda-forge/igraph,2021-06-16 15:20:14.330000,233445.0,,,,,1.0,183992.0,,,,,,,,,,,,,,,,,,,,\n206,data-validation,tensorflow/data-validation,,data-viz,https://github.com/tensorflow/data-validation,https://github.com/tensorflow/data-validation,Apache-2.0,2018-07-02 15:47:02.000000,2021-06-30 00:27:05.000000,2021-06-30 00:27:00.000000,100,37.0,92.0,564.0,642.0,Library for exploring and validating machine learning data.,21.0,28,True,2021-06-22 20:34:12.000000,1.1.0,30.0,tensorflow-data-validation,,,,\"['tensorflow', 'jupyter']\",324.0,306.0,https://pypi.org/project/tensorflow-data-validation,2021-06-22 20:34:12.000000,18.0,5709334.0,5709341.0,,,,,,,,2.0,263.0,,,,,,,,,,,,,,,,,,,,\n207,DIPY,dipy/dipy,,medical-data,https://github.com/dipy/dipy,https://github.com/dipy/dipy,BSD-3-Clause,2010-02-06 11:43:08.000000,2021-07-15 08:15:08.000000,2021-07-07 05:16:32.000000,313,156.0,619.0,448.0,11625.0,\"DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal..\",123.0,28,True,2021-03-14 14:05:15.000000,1.4.0,23.0,dipy,conda-forge/dipy,,,,497.0,403.0,https://pypi.org/project/dipy,2021-05-06 04:40:48.000000,94.0,15438.0,19300.0,https://anaconda.org/conda-forge/dipy,2021-05-06 13:36:55.402000,239484.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n208,Streamlit,streamlit/streamlit,,others,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000000,2021-07-15 14:58:27.000000,2021-07-15 14:58:27.000000,1319,546.0,1322.0,15254.0,,Streamlit The fastest way to build data apps in Python.,111.0,27,True,2021-07-12 23:08:24.000000,0.84.1,134.0,streamlit,,,,,132.0,98.0,https://pypi.org/project/streamlit,2021-07-12 23:12:56.000000,34.0,356956.0,356956.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n209,PaddleOCR,PaddlePaddle/PaddleOCR,,ocr,https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000000,2021-07-15 08:13:56.000000,2021-07-09 10:31:56.000000,2720,678.0,1644.0,13300.0,,\"Awesome multilingual OCR toolkits based on PaddlePaddle practical ultra lightweight OCR system, support 80+ languages..\",56.0,27,True,2021-05-26 11:43:06.000000,2.1.1,13.0,paddleocr,,,,['paddle'],223.0,223.0,https://pypi.org/project/paddleocr,2021-04-13 04:02:10.000000,0.0,33273.0,33273.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n210,baselines,openai/baselines,,reinforcement-learning,https://github.com/openai/baselines,https://github.com/openai/baselines,MIT,2017-05-24 01:58:13.000000,2021-06-12 21:46:56.000000,2020-01-31 13:06:18.000000,4040,455.0,429.0,11681.0,347.0,OpenAI Baselines: high-quality implementations of reinforcement learning algorithms.,114.0,27,False,2018-02-26 17:07:07.000000,0.1.5,6.0,baselines,,,,,401.0,327.0,https://pypi.org/project/baselines,2018-02-26 17:07:07.000000,74.0,1609.0,1609.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n211,PySyft,OpenMined/PySyft,,privacy-ml,https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,Apache-2.0,2017-07-18 20:41:16.000000,2021-07-15 12:38:59.000000,2021-07-07 16:17:06.000000,1685,251.0,2747.0,7364.0,9339.0,A library for answering questions using data you cannot see.,409.0,27,True,2021-06-28 06:55:25.000000,0.5.0,54.0,syft,,,,['pytorch'],6.0,,https://pypi.org/project/syft,2021-06-28 06:55:25.000000,6.0,3430.0,3430.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n212,ParlAI,facebookresearch/ParlAI,,nlp,https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44.000000,2021-07-15 13:46:20.000000,2021-07-14 20:06:37.000000,1480,98.0,936.0,7315.0,3812.0,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,153.0,27,True,2021-07-07 19:58:26.000000,1.3.0,17.0,parlai,,,,['pytorch'],28.0,28.0,https://pypi.org/project/parlai,2021-07-07 19:58:26.000000,0.0,1816.0,1816.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n213,imageai,OlafenwaMoses/ImageAI,,image,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33.000000,2021-06-14 09:00:26.000000,2021-05-08 20:05:36.000000,1765,228.0,417.0,6315.0,292.0,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,14.0,27,True,2021-01-05 01:26:01.000000,2.1.6,10.0,imageai,,,,,906.0,882.0,https://pypi.org/project/imageai,2021-01-05 01:26:01.000000,24.0,10668.0,26280.0,,,,,,,,2.0,608893.0,,,,,,,,,,,,,,,,,,,,\n214,EfficientNet-PyTorch,lukemelas/EfficientNet-PyTorch,,pytorch-utils,https://github.com/lukemelas/EfficientNet-PyTorch,https://github.com/lukemelas/EfficientNet-PyTorch,Apache-2.0,2019-05-30 05:24:11.000000,2021-07-02 23:37:04.000000,2021-04-15 15:16:36.000000,1218,121.0,133.0,6222.0,162.0,A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!).,24.0,27,True,2021-04-15 15:17:23.000000,0.7.1,13.0,efficientnet-pytorch,,,,['pytorch'],14.0,,https://pypi.org/project/efficientnet-pytorch,2021-04-15 15:17:23.000000,14.0,93804.0,133900.0,,,,,,,,1.0,641549.0,,,,,,,,,,,,,,,,,,,,\n215,tsfresh,blue-yonder/tsfresh,,time-series-data,https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17.000000,2021-07-09 20:36:12.000000,2021-07-09 20:29:39.000000,890,38.0,428.0,5787.0,398.0,Automatic extraction of relevant features from time series:.,79.0,27,True,2021-03-06 08:49:53.000000,0.18.0,26.0,tsfresh,conda-forge/tsfresh,,,['sklearn'],66.0,,https://pypi.org/project/tsfresh,2020-09-09 21:08:22.000000,66.0,201576.0,202419.0,https://anaconda.org/conda-forge/tsfresh,2021-03-07 06:57:04.012000,37094.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n216,featuretools,alteryx/featuretools,,hyperopt,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17.000000,2021-07-14 21:29:14.000000,2021-07-12 17:59:15.000000,729,125.0,469.0,5634.0,,An open source python library for automated feature engineering.,50.0,27,True,2021-06-11 20:31:20.000000,0.25.0,78.0,featuretools,conda-forge/featuretools,,,,860.0,790.0,https://pypi.org/project/featuretools,2021-06-11 20:32:07.000000,70.0,227803.0,229675.0,https://anaconda.org/conda-forge/featuretools,2021-06-29 15:43:56.093000,58045.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n217,CleverHans,cleverhans-lab/cleverhans,,adversarial,https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04.000000,2021-05-31 01:26:50.000000,2021-04-20 08:51:08.000000,1295,26.0,419.0,5194.0,3194.0,\"An adversarial example library for constructing attacks, building defenses, and benchmarking both.\",123.0,27,True,2021-04-28 13:26:45.000000,3.1.0,7.0,cleverhans,,,,['tensorflow'],253.0,237.0,https://pypi.org/project/cleverhans,2021-04-28 13:26:45.000000,16.0,965.0,965.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n218,scikit-surprise,NicolasHug/Surprise,,recommender-systems,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38.000000,2020-10-13 01:22:58.850000,2020-08-05 17:45:59.000000,866,51.0,291.0,4931.0,622.0,A Python scikit for building and analyzing recommender systems.,38.0,27,True,2020-07-19 14:50:48.000000,1.1.1,9.0,scikit-surprise,conda-forge/scikit-surprise,,,,1218.0,1170.0,https://pypi.org/project/scikit-surprise,2020-07-19 14:50:48.000000,48.0,61015.0,65412.0,https://anaconda.org/conda-forge/scikit-surprise,2020-10-13 01:22:58.850000,184688.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n219,Metaflow,Netflix/metaflow,,ml-experiments,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000000,2021-07-15 07:49:47.000000,2021-07-14 23:50:28.000000,380,159.0,167.0,4486.0,286.0,Build and manage real-life data science projects with ease.,35.0,27,True,2021-06-29 22:17:30.000000,2.3.2,26.0,metaflow,conda-forge/metaflow,,,,171.0,169.0,https://pypi.org/project/metaflow,2021-06-29 23:06:48.000000,2.0,69415.0,70413.0,https://anaconda.org/conda-forge/metaflow,2021-06-30 01:42:17.102000,18975.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n220,skorch,skorch-dev/skorch,,ml-frameworks,https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000000,2021-07-11 21:12:25.000000,2021-07-11 21:12:25.000000,283,43.0,350.0,4040.0,962.0,A scikit-learn compatible neural network library that wraps PyTorch.,42.0,27,True,2021-03-23 15:34:51.000000,0.10.0,13.0,skorch,conda-forge/skorch,,,\"['pytorch', 'sklearn']\",380.0,354.0,https://pypi.org/project/skorch,2021-03-23 15:32:29.000000,26.0,13766.0,22687.0,https://anaconda.org/conda-forge/skorch,2021-03-24 00:24:03.810000,303347.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n221,pyAudioAnalysis,tyiannak/pyAudioAnalysis,,audio,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13.000000,2021-07-09 12:36:46.000000,2021-07-09 12:36:46.000000,994,170.0,109.0,4020.0,690.0,\"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.\",25.0,27,True,2021-05-13 14:14:02.000000,0.3.7,16.0,pyAudioAnalysis,,,,,248.0,226.0,https://pypi.org/project/pyAudioAnalysis,2021-05-13 14:14:02.000000,22.0,14235.0,14235.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n222,InterpretML,interpretml/interpret,,interpretability,https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000000,2021-07-15 07:11:00.000000,2021-07-15 07:05:20.000000,486,77.0,152.0,3942.0,1706.0,Fit interpretable models. Explain blackbox machine learning.,27.0,27,True,2021-06-22 01:20:02.000000,0.2.5,35.0,interpret,,,,['jupyter'],101.0,99.0,https://pypi.org/project/interpret,2021-06-22 01:12:04.000000,2.0,38235.0,38235.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n223,Perspective,finos/perspective,,data-viz,https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000000,2021-07-15 06:09:31.000000,2021-07-15 06:09:30.000000,377,65.0,359.0,3442.0,4595.0,Streaming pivot visualization via WebAssembly.,64.0,27,True,2021-06-17 08:14:42.000000,0.9.0,48.0,perspective-python,,,,['jupyter'],205.0,197.0,https://pypi.org/project/perspective-python,2021-07-08 06:14:18.000000,8.0,2379.0,4378.0,,,,,,,,2.0,,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2021-07-08 04:55:21.064000,,1999.0,,,,,,,,,,,,,,\n224,DeepChem,deepchem/deepchem,,others,https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000000,2021-07-15 09:38:01.000000,2021-07-14 16:56:19.000000,1018,404.0,899.0,3034.0,6806.0,\"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.\",167.0,27,True,2021-03-18 03:10:52.000000,2.5.0,288.0,deepchem,,,,['tensorflow'],50.0,46.0,https://pypi.org/project/deepchem,2021-07-14 17:20:12.000000,4.0,5371.0,5371.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n225,pomegranate,jmschrei/pomegranate,,probabilistics,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000000,2021-07-12 16:38:27.000000,2021-07-12 16:38:27.000000,487,54.0,566.0,2708.0,899.0,\"Fast, flexible and easy to use probabilistic modelling in Python.\",63.0,27,True,2021-03-29 16:51:20.000000,0.14.4,65.0,pomegranate,conda-forge/pomegranate,,,,541.0,485.0,https://pypi.org/project/pomegranate,2021-03-29 16:51:20.000000,56.0,51690.0,54388.0,https://anaconda.org/conda-forge/pomegranate,2020-11-01 16:22:04.857000,64773.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n226,Catalyst,catalyst-team/catalyst,,ml-experiments,https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13.000000,2021-07-15 14:19:01.000000,2021-07-08 15:37:04.000000,324,16.0,302.0,2661.0,1566.0,Accelerated deep learning R&D.,91.0,27,True,2021-06-29 06:37:29.000000,21.06,96.0,catalyst,,,,['pytorch'],416.0,378.0,https://pypi.org/project/catalyst,2021-06-29 06:31:24.000000,38.0,10747.0,10747.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n227,BentoML,bentoml/BentoML,,model-serialisation,https://github.com/bentoml/BentoML,https://github.com/bentoml/BentoML,Apache-2.0,2019-04-02 01:39:27.000000,2021-07-14 20:21:09.000000,2021-07-13 08:24:55.000000,310,76.0,386.0,2643.0,1148.0,Model Serving Made Easy.,85.0,27,True,2021-07-13 10:52:52.000000,0.13.1,70.0,bentoml,,,,,104.0,96.0,https://pypi.org/project/bentoml,2021-07-13 07:00:28.000000,8.0,11225.0,11257.0,,,,,,,,1.0,879.0,,,,,,,,,,,,,,,,,,,,\n228,Sumy,miso-belica/sumy,,nlp,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48.000000,2021-07-12 09:31:49.000000,2021-06-17 15:47:06.000000,456,13.0,78.0,2612.0,398.0,Module for automatic summarization of text documents and HTML pages.,21.0,27,True,2019-05-19 14:39:21.000000,0.8.1,13.0,sumy,,,,,1032.0,840.0,https://pypi.org/project/sumy,2019-05-19 14:38:29.000000,192.0,27218.0,27218.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n229,ClearML,allegroai/clearml,,ml-experiments,https://github.com/allegroai/clearml,https://github.com/allegroai/clearml,Apache-2.0,2019-06-10 08:18:32.000000,2021-07-15 07:38:54.000000,2021-07-15 07:38:54.000000,366,106.0,235.0,2575.0,1229.0,\"ClearML - Auto-Magical Suite of tools to streamline your ML workflow. Experiment Manager, ML-Ops and Data-Management.\",34.0,27,True,2021-06-22 14:55:39.000000,1.0.4,45.0,clearml,,allegroai/trains,,,52.0,52.0,https://pypi.org/project/clearml,2021-06-22 14:54:49.000000,0.0,26345.0,27561.0,,,,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,30065.0,2.0,367.0,,,,,,,,,,,,,,,,,,,,\n230,gpustat,wookayin/gpustat,,gpu-utilities,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43.000000,2021-06-04 13:53:57.000000,2021-03-23 06:32:48.000000,205,22.0,50.0,2495.0,168.0,A simple command-line utility for querying and monitoring GPU status.,12.0,27,True,2019-07-22 06:37:00.000000,0.6.0,11.0,gpustat,conda-forge/gpustat,,,,1091.0,1033.0,https://pypi.org/project/gpustat,2021-01-02 05:59:41.000000,58.0,393936.0,396306.0,https://anaconda.org/conda-forge/gpustat,2020-11-24 19:59:04.772000,66386.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n231,Captum,pytorch/captum,,interpretability,https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000000,2021-07-13 00:11:20.000000,2021-07-13 00:03:31.000000,263,61.0,192.0,2482.0,835.0,Model interpretability and understanding for PyTorch.,73.0,27,True,2021-07-07 05:16:49.000000,0.4.0,6.0,captum,,,,['pytorch'],226.0,226.0,https://pypi.org/project/captum,2021-07-07 04:40:26.000000,0.0,26741.0,26741.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n232,implicit,benfred/implicit,,recommender-systems,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000000,2021-05-14 05:51:51.000000,2021-05-08 16:08:26.000000,490,84.0,268.0,2412.0,309.0,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,29.0,27,True,2020-09-15 22:01:38.000000,0.4.4,34.0,implicit,conda-forge/implicit,,,,487.0,443.0,https://pypi.org/project/implicit,2020-09-15 22:01:38.000000,44.0,149031.0,155488.0,https://anaconda.org/conda-forge/implicit,2020-11-24 06:44:37.378000,271231.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n233,eli5,TeamHG-Memex/eli5,,interpretability,https://github.com/TeamHG-Memex/eli5,https://github.com/TeamHG-Memex/eli5,MIT,2016-09-15 01:04:57.000000,2021-06-10 22:02:56.000000,2020-01-22 07:39:36.000000,299,145.0,110.0,2410.0,1198.0,A library for debugging/inspecting machine learning classifiers and explaining their predictions.,14.0,27,False,2021-01-23 14:25:24.000000,0.11.0,28.0,eli5,conda-forge/eli5,,,,110.0,,https://pypi.org/project/eli5,2021-01-23 14:25:24.000000,110.0,517200.0,519175.0,https://anaconda.org/conda-forge/eli5,2021-01-25 08:24:59.385000,98762.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n234,GluonNLP,dmlc/gluon-nlp,,nlp,https://github.com/dmlc/gluon-nlp,https://github.com/dmlc/gluon-nlp,Apache-2.0,2018-04-04 20:57:13.000000,2021-05-27 17:38:36.000000,2021-05-24 15:19:12.000000,508,252.0,291.0,2302.0,838.0,\"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..\",81.0,27,True,2020-08-13 19:17:42.000000,0.10.0,26.0,gluonnlp,,,,['mxnet'],555.0,533.0,https://pypi.org/project/gluonnlp,2020-08-13 19:17:42.000000,22.0,74989.0,74989.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n235,ta,bukosabino/ta,,financial-data,https://github.com/bukosabino/ta,https://github.com/bukosabino/ta,MIT,2018-01-02 18:08:48.000000,2021-07-08 18:37:59.000000,2020-11-29 21:08:14.000000,575,100.0,87.0,2275.0,582.0,Technical Analysis Library using Pandas and Numpy.,23.0,27,True,2020-11-29 10:49:09.000000,0.7.0,49.0,ta,,,,,658.0,646.0,https://pypi.org/project/ta,2020-11-29 10:49:09.000000,12.0,78648.0,78648.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n236,spark-nlp,JohnSnowLabs/spark-nlp,,nlp,https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000000,2021-07-15 15:14:28.000000,2021-07-14 20:14:25.000000,465,76.0,442.0,2237.0,11258.0,State of the Art Natural Language Processing.,90.0,27,True,2021-07-07 15:41:30.000000,3.1.2,87.0,spark-nlp,,,,['spark'],0.0,,https://pypi.org/project/spark-nlp,2021-07-07 13:56:55.000000,0.0,750995.0,750995.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n237,BoTorch,pytorch/botorch,,hyperopt,https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000000,2021-07-15 12:43:09.000000,2021-07-14 22:48:16.000000,209,40.0,144.0,1996.0,964.0,Bayesian optimization in PyTorch.,56.0,27,True,2021-06-29 19:31:00.000000,0.5.0,17.0,botorch,,,,['pytorch'],144.0,144.0,https://pypi.org/project/botorch,2021-06-29 19:37:54.000000,0.0,71202.0,71202.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n238,Foolbox,bethgelab/foolbox,,adversarial,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48.000000,2021-07-06 10:16:42.000000,2021-06-05 09:38:18.000000,356,56.0,269.0,1961.0,1648.0,\"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.\",32.0,27,True,2021-02-23 07:09:34.000000,3.3.1,68.0,foolbox,,,,,232.0,214.0,https://pypi.org/project/foolbox,2021-02-23 07:07:53.000000,18.0,2004.0,2004.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n239,TorchServe,pytorch/serve,,model-serialisation,https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000000,2021-07-15 00:23:27.000000,2021-07-15 00:22:13.000000,336,111.0,526.0,1949.0,1894.0,Model Serving on PyTorch.,75.0,27,True,2021-05-22 00:09:49.000000,0.4.0,8.0,torchserve,pytorch/torchserve,pytorch/torchserve,,['pytorch'],64.0,64.0,https://pypi.org/project/torchserve,2021-05-20 22:22:18.000000,0.0,8994.0,12876.0,https://anaconda.org/pytorch/torchserve,2021-05-21 22:06:07.527000,10089.0,https://hub.docker.com/r/pytorch/torchserve,2021-05-20 22:32:59.391640,3.0,66857.0,1.0,415.0,,,,,,,,,,,,,,,,,,,,\n240,Flax,google/flax,,ml-frameworks,https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000000,2021-07-15 13:19:05.000000,2021-07-15 13:01:23.000000,229,159.0,223.0,1942.0,,Flax is a neural network library for JAX that is designed for flexibility.,99.0,27,True,2021-05-18 11:27:56.000000,0.3.4,13.0,flax,,,,['jax'],281.0,275.0,https://pypi.org/project/flax,2021-05-18 11:27:56.000000,6.0,490447.0,490448.0,,,,,,,,3.0,25.0,,,,,,,-2.0,,,,,,,,,,,,,\n241,MNE,mne-tools/mne-python,,medical-data,https://github.com/mne-tools/mne-python,https://github.com/mne-tools/mne-python,BSD-3-Clause,2011-01-28 03:31:13.000000,2021-07-15 15:01:59.000000,2021-07-15 13:50:51.000000,913,332.0,3365.0,1626.0,,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,262.0,27,True,2021-04-27 19:00:31.000000,0.23.0,52.0,mne,conda-forge/mne,,,,1228.0,1030.0,https://pypi.org/project/mne,2021-04-27 19:00:31.000000,198.0,41173.0,43979.0,https://anaconda.org/conda-forge/mne,2021-04-27 21:31:05.562000,148733.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n242,Pythran,serge-sans-paille/pythran,,others,https://github.com/serge-sans-paille/pythran,https://github.com/serge-sans-paille/pythran,BSD-3-Clause,2012-05-29 08:02:14.000000,2021-07-15 13:54:01.702000,2021-07-14 12:14:01.000000,153,110.0,588.0,1577.0,3416.0,Ahead of Time compiler for numeric kernels.,58.0,27,True,2021-07-13 20:41:53.000000,0.9.12,50.0,pythran,conda-forge/pythran,,,,81.0,55.0,https://pypi.org/project/pythran,2021-07-14 12:11:19.000000,26.0,47498.0,52115.0,https://anaconda.org/conda-forge/pythran,2021-07-15 13:54:01.702000,175481.0,,,,,2.0,,,,,,,,,,,,,,,pythran,python-pythran,,,,,\n243,Ax,facebook/Ax,,hyperopt,https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000000,2021-07-15 13:43:43.000000,2021-07-15 13:43:37.000000,163,27.0,244.0,1543.0,1245.0,Adaptive Experimentation Platform.,98.0,27,True,2021-06-30 21:07:38.000000,0.2.0,22.0,ax-platform,,,,['pytorch'],190.0,186.0,https://pypi.org/project/ax-platform,2021-06-30 22:14:39.000000,4.0,55783.0,55783.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n244,TFX,tensorflow/tfx,,data-pipelines,https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000000,2021-07-15 10:17:57.000000,2021-07-15 10:17:48.000000,464,236.0,419.0,1513.0,3667.0,TFX is an end-to-end platform for deploying production ML pipelines.,117.0,27,True,2021-07-09 19:07:26.000000,0.30.2,53.0,tfx,,,,['tensorflow'],4.0,,https://pypi.org/project/tfx,2021-07-09 19:42:38.000000,4.0,850204.0,850204.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n245,GPflow,GPflow/GPflow,,probabilistics,https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000000,2021-07-06 08:24:48.000000,2021-07-06 08:24:44.000000,404,103.0,612.0,1477.0,2229.0,Gaussian processes in TensorFlow.,71.0,27,True,2021-04-29 14:49:29.000000,2.2.1,31.0,gpflow,conda-forge/gpflow,,,['tensorflow'],308.0,274.0,https://pypi.org/project/gpflow,2021-04-29 14:49:29.000000,34.0,5623.0,5867.0,https://anaconda.org/conda-forge/gpflow,2018-11-06 08:51:39.744000,9300.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n246,Model Analysis,tensorflow/model-analysis,,interpretability,https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000000,2021-07-13 01:38:13.000000,2021-07-13 01:38:08.000000,221,30.0,43.0,1077.0,984.0,Model analysis tools for TensorFlow.,35.0,27,True,2021-06-24 00:24:51.000000,0.32.0,40.0,tensorflow-model-analysis,,,,\"['tensorflow', 'jupyter']\",20.0,,https://pypi.org/project/tensorflow-model-analysis,2021-06-24 00:24:51.000000,20.0,5223453.0,5223453.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n247,arviz,arviz-devs/arviz,,interpretability,https://github.com/arviz-devs/arviz,https://github.com/arviz-devs/arviz,Apache-2.0,2015-07-29 11:51:10.000000,2021-07-14 17:57:27.000000,2021-07-05 16:31:17.000000,218,141.0,483.0,1051.0,,Exploratory analysis of Bayesian models with Python.,86.0,27,True,2021-02-21 19:39:56.000000,0.11.2,23.0,arviz,conda-forge/arviz,,,,1180.0,1144.0,https://pypi.org/project/arviz,2021-02-21 19:39:56.000000,36.0,653428.0,667686.0,https://anaconda.org/conda-forge/arviz,2021-04-20 19:35:43.998000,370652.0,,,,,1.0,109.0,,,,,,,,,,,,,,,,,,,,\n248,agate,wireservice/agate,,others,https://github.com/wireservice/agate,https://github.com/wireservice/agate,MIT,2014-04-25 13:59:09.000000,2021-07-14 23:21:18.000000,2021-07-14 23:21:14.000000,130,54.0,629.0,1050.0,1452.0,A Python data analysis library that is optimized for humans instead of machines.,49.0,27,True,2018-03-11 14:37:30.000000,1.6.1,24.0,agate,conda-forge/agate,,,,824.0,582.0,https://pypi.org/project/agate,2018-03-11 14:37:30.000000,242.0,653307.0,654562.0,https://anaconda.org/conda-forge/agate,2021-05-31 03:58:22.153000,66542.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n249,petl,petl-developers/petl,,data-pipelines,https://github.com/petl-developers/petl,https://github.com/petl-developers/petl,MIT,2011-08-19 09:51:03.000000,2021-06-17 10:01:39.000000,2021-06-11 01:18:26.000000,153,69.0,348.0,906.0,1145.0,Python Extract Transform and Load Tables of Data.,47.0,27,True,2021-03-27 03:06:14.000000,1.7.4,79.0,petl,conda-forge/petl,,http://petl.readthedocs.org,,574.0,460.0,https://pypi.org/project/petl,2021-03-27 03:06:14.000000,114.0,35705.0,36176.0,https://anaconda.org/conda-forge/petl,2021-04-05 21:49:41.242000,27334.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n250,cartopy,SciTools/cartopy,,data-viz,https://github.com/SciTools/cartopy,https://github.com/SciTools/cartopy,LGPL-3.0,2012-08-03 07:43:59.000000,2021-07-14 23:20:39.000000,2021-07-14 13:23:00.000000,277,297.0,672.0,889.0,2295.0,Cartopy - a cartographic python library with matplotlib support.,94.0,27,False,2021-04-23 16:45:56.000000,0.19.0.post1,22.0,cartopy,conda-forge/cartopy,,,,2092.0,1746.0,https://pypi.org/project/cartopy,2021-04-23 16:49:22.000000,346.0,65048.0,91052.0,https://anaconda.org/conda-forge/cartopy,2021-05-21 06:58:00.865000,1664294.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n251,PyVista,pyvista/pyvista,,data-viz,https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000000,2021-07-15 00:33:39.000000,2021-07-15 00:33:39.000000,167,147.0,379.0,863.0,2250.0,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,58.0,27,True,2021-06-23 21:59:31.000000,0.31.3,47.0,pyvista,conda-forge/pyvista,,,['jupyter'],418.0,392.0,https://pypi.org/project/pyvista,2021-06-23 21:59:31.000000,26.0,27035.0,30785.0,https://anaconda.org/conda-forge/pyvista,2021-06-24 01:50:57.553000,97431.0,,,,,2.0,143.0,,,,,,,,,,,,,,,,,,,,\n252,TensorFlow Text,tensorflow/text,,nlp,https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000000,2021-07-15 04:43:12.000000,2021-07-12 22:43:38.000000,110,54.0,101.0,770.0,455.0,Making text a first-class citizen in TensorFlow.,50.0,27,True,2021-05-24 19:16:25.000000,2.5.0,35.0,tensorflow-text,,,,['tensorflow'],822.0,818.0,https://pypi.org/project/tensorflow-text,2021-07-02 04:24:26.000000,4.0,1394478.0,1394478.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n253,geojson,jazzband/geojson,,geospatial-data,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48.000000,2021-03-21 16:52:10.000000,2021-03-21 16:52:09.000000,85,22.0,53.0,633.0,448.0,Python bindings and utilities for GeoJSON.,44.0,27,True,2019-08-09 20:32:15.000000,2.5.0,28.0,geojson,conda-forge/geojson,,,,8954.0,7120.0,https://pypi.org/project/geojson,2019-08-09 20:32:15.000000,1834.0,696823.0,703376.0,https://anaconda.org/conda-forge/geojson,2019-08-11 12:10:34.426000,419455.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n254,CNTK,microsoft/CNTK,,ml-frameworks,https://github.com/microsoft/CNTK,https://github.com/microsoft/CNTK,MIT,2015-11-26 09:52:06.000000,2020-12-09 22:21:57.000000,2020-03-31 15:55:14.000000,4402,836.0,2523.0,17047.0,16116.0,\"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.\",267.0,26,False,2019-04-26 14:13:32.000000,2.7,32.0,cntk,,,,,34.0,,https://pypi.org/project/cntk,2020-12-09 22:21:57.000000,34.0,1555.0,1764.0,,,,,,,,3.0,13856.0,,,,,,,,,,,,,,,,,,,,\n255,Magenta,magenta/magenta,,audio,https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40.000000,2021-06-30 21:44:22.000000,2021-06-30 21:44:13.000000,3467,315.0,563.0,16777.0,,Magenta: Music and Art Generation with Machine Intelligence.,149.0,26,True,2020-11-12 19:17:18.000000,2.1.3,66.0,magenta,,,,['tensorflow'],374.0,304.0,https://pypi.org/project/magenta,2020-11-12 19:17:18.000000,70.0,4738.0,4738.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n256,MMDetection,open-mmlab/mmdetection,,image,https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000000,2021-07-15 13:46:16.000000,2021-07-13 07:31:01.000000,5474,334.0,3731.0,15644.0,1650.0,OpenMMLab Detection Toolbox and Benchmark.,235.0,26,True,2021-06-29 14:02:09.000000,2.14.0,14.0,,,,,['pytorch'],77.0,77.0,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n257,Turi Create,apple/turicreate,,ml-frameworks,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04.000000,2021-06-14 17:53:17.000000,2021-06-14 17:53:17.000000,1101,483.0,1269.0,10340.0,,Turi Create simplifies the development of custom machine learning models.,82.0,26,True,2020-09-30 22:51:40.000000,6.4.1,31.0,turicreate,,,,,284.0,250.0,https://pypi.org/project/turicreate,2020-09-30 22:51:40.000000,34.0,27567.0,27675.0,,,,,,,,3.0,4665.0,,,,,,,,,,,,,,,,,,,,\n258,backtrader,mementum/backtrader,,financial-data,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52.000000,2021-07-14 12:09:03.000000,2021-02-11 20:51:09.000000,2151,33.0,,6884.0,2383.0,Python Backtesting library for trading strategies.,51.0,26,False,,,155.0,backtrader,,,,,719.0,649.0,https://pypi.org/project/backtrader,2020-07-03 13:02:14.000000,70.0,49938.0,49938.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n259,TensorLayer,tensorlayer/tensorlayer,,reinforcement-learning,https://github.com/tensorlayer/tensorlayer,https://github.com/tensorlayer/tensorlayer,Apache-2.0,2016-06-07 15:55:16.000000,2021-07-14 01:34:21.000000,2021-07-05 10:02:43.000000,1487,20.0,433.0,6653.0,3347.0,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,131.0,26,True,2021-01-06 07:16:21.000000,2.2.4,82.0,tensorlayer,,,,['tensorflow'],68.0,,https://pypi.org/project/tensorlayer,2020-06-19 00:53:37.000000,68.0,2838.0,2860.0,,,,,,,,2.0,1285.0,,,,,,,,,,,,,,,,,,,,\n260,Facets Overview,pair-code/facets,,data-viz,https://github.com/PAIR-code/facets,https://github.com/PAIR-code/facets,Apache-2.0,2017-07-07 14:03:03.000000,2021-05-06 12:01:08.000000,2021-05-06 12:01:05.000000,834,76.0,76.0,6616.0,264.0,Visualizations for machine learning datasets.,28.0,26,True,2019-07-24 15:57:06.000000,1.0.0,4.0,facets-overview,,,,['jupyter'],64.0,58.0,https://pypi.org/project/facets-overview,2019-07-24 15:57:06.000000,6.0,67439.0,67439.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n261,DeepSpeed,microsoft/DeepSpeed,,distributed-ml,https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,MIT,2020-01-23 18:35:18.000000,2021-07-15 02:00:33.000000,2021-07-14 14:20:19.000000,533,289.0,284.0,5234.0,628.0,\"DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.\",58.0,26,True,2021-07-13 16:14:10.000000,0.4.3,28.0,deepspeed,,deepspeed/deepspeed,,['pytorch'],56.0,56.0,https://pypi.org/project/deepspeed,2021-07-12 23:48:27.000000,0.0,54230.0,54721.0,,,,https://hub.docker.com/r/deepspeed/deepspeed,2021-05-05 21:39:11.981563,2.0,8855.0,2.0,,,,,,,,,,,,,,,,,,,,,\n262,PyTorch3D,facebookresearch/pytorch3d,,image,https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,MIT,2019-10-25 02:23:45.000000,2021-07-13 17:29:31.000000,2021-07-13 17:29:26.000000,619,54.0,597.0,4986.0,511.0,PyTorch3D is FAIR's library of reusable components for deep learning with 3D data.,63.0,26,True,2021-02-09 23:13:45.000000,0.4.0,7.0,pytorch3d,pytorch3d/pytorch3d,,,['pytorch'],90.0,90.0,https://pypi.org/project/pytorch3d,2021-02-09 23:13:45.000000,0.0,8397.0,8979.0,https://anaconda.org/pytorch3d/pytorch3d,2021-02-09 22:34:07.773000,11646.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n263,OCRmyPDF,jbarlow83/OCRmyPDF,,ocr,https://github.com/jbarlow83/OCRmyPDF,https://github.com/jbarlow83/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000000,2021-07-15 12:34:30.000000,2021-07-14 09:38:23.000000,464,90.0,635.0,4550.0,2980.0,\"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.\",55.0,26,True,2021-07-14 10:19:32.000000,12.3.0,176.0,ocrmypdf,,,,,12.0,,https://pypi.org/project/ocrmypdf,2021-07-14 10:19:32.000000,12.0,16544.0,16544.0,,,,,,,,2.0,,,,,,,,,,ocrmypdf,ocrmypdf,,,,,,,,,,\n264,Lucid,tensorflow/lucid,,interpretability,https://github.com/tensorflow/lucid,https://github.com/tensorflow/lucid,Apache-2.0,2018-01-25 17:41:44.000000,2021-07-02 01:49:08.000000,2021-03-19 15:48:33.000000,592,65.0,98.0,4250.0,667.0,A collection of infrastructure and tools for research in neural network interpretability.,40.0,26,True,2021-03-19 16:01:00.000000,0.3.10,17.0,lucid,,,,['tensorflow'],576.0,570.0,https://pypi.org/project/lucid,2021-03-19 16:01:00.000000,6.0,1132.0,1132.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n265,sktime,alan-turing-institute/sktime,,time-series-data,https://github.com/alan-turing-institute/sktime,https://github.com/alan-turing-institute/sktime,BSD-3-Clause,2018-11-06 15:08:24.000000,2021-07-15 12:58:29.000000,2021-07-15 08:46:33.000000,583,219.0,368.0,4218.0,,A unified framework for machine learning with time series.,98.0,26,True,2021-07-13 13:29:02.000000,0.7.0,16.0,sktime,,,,['sklearn'],203.0,203.0,https://pypi.org/project/sktime,2021-07-12 19:18:54.000000,0.0,108432.0,108434.0,,,,,,,,2.0,63.0,,,,,,,,,,,,,,,,,,,,\n266,AutoGluon,awslabs/autogluon,,hyperopt,https://github.com/awslabs/autogluon,https://github.com/awslabs/autogluon,Apache-2.0,2019-07-29 18:51:24.000000,2021-07-15 09:37:25.000000,2021-07-12 17:28:41.000000,452,114.0,395.0,3468.0,635.0,\"AutoGluon: AutoML for Text, Image, and Tabular Data.\",58.0,26,True,2021-04-28 22:25:13.000000,0.2.0,477.0,autogluon,,,,['mxnet'],61.0,61.0,https://pypi.org/project/autogluon,2021-07-15 09:04:07.000000,0.0,25352.0,25352.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n267,Alpha Vantage,RomelTorres/alpha_vantage,,financial-data,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00.000000,2021-06-15 14:33:06.000000,2021-06-14 05:10:42.000000,604,16.0,229.0,3415.0,497.0,A python wrapper for Alpha Vantage API for financial data.,39.0,26,True,2020-12-21 02:37:29.000000,2.3.1,28.0,alpha_vantage,,,,,202.0,,https://pypi.org/project/alpha_vantage,2018-08-26 18:55:11.000000,202.0,29620.0,29620.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n268,Stable Baselines,hill-a/stable-baselines,,reinforcement-learning,https://github.com/hill-a/stable-baselines,https://github.com/hill-a/stable-baselines,MIT,2018-07-02 14:28:59.000000,2021-06-02 12:43:18.000000,2021-06-02 12:43:17.000000,620,128.0,764.0,3210.0,837.0,\"A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.\",111.0,26,True,2021-04-06 12:37:09.000000,2.10.2,31.0,stable-baselines,,,,,50.0,,https://pypi.org/project/stable-baselines,2021-04-06 12:37:09.000000,50.0,9938.0,9938.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n269,pytorch-summary,sksq96/pytorch-summary,,pytorch-utils,https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04.000000,2021-06-20 09:40:21.000000,2021-05-10 18:34:53.000000,365,118.0,37.0,3169.0,57.0,Model summary in PyTorch similar to `model.summary()` in Keras.,11.0,26,True,2018-09-26 05:07:28.000000,1.5.1,12.0,torchsummary,,,,['pytorch'],3052.0,2934.0,https://pypi.org/project/torchsummary,2018-09-26 05:07:28.000000,118.0,71835.0,71835.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n270,vaderSentiment,cjhutto/vaderSentiment,,nlp,https://github.com/cjhutto/vaderSentiment,https://github.com/cjhutto/vaderSentiment,MIT,2014-11-17 16:31:45.000000,2021-06-15 23:12:57.000000,2021-03-15 18:43:06.000000,782,33.0,74.0,3071.0,127.0,VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based..,10.0,26,True,2020-05-22 15:07:00.000000,3.3.2,15.0,vadersentiment,,,,,3108.0,2822.0,https://pypi.org/project/vadersentiment,2020-05-22 15:07:00.000000,286.0,143505.0,143505.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n271,nevergrad,facebookresearch/nevergrad,,hyperopt,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000000,2021-07-15 08:49:54.000000,2021-07-12 15:27:03.000000,288,94.0,137.0,3031.0,856.0,A Python toolbox for performing gradient-free optimization.,43.0,26,True,2021-01-28 12:05:40.000000,0.4.3,31.0,nevergrad,conda-forge/nevergrad,,,,209.0,195.0,https://pypi.org/project/nevergrad,2021-06-04 17:44:17.000000,14.0,29424.0,30137.0,https://anaconda.org/conda-forge/nevergrad,2021-06-14 12:44:22.518000,10701.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n272,TensorForce,tensorforce/tensorforce,,reinforcement-learning,https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22.000000,2021-07-10 10:37:08.000000,2021-07-10 10:37:05.000000,510,6.0,584.0,2989.0,2070.0,Tensorforce: a TensorFlow library for applied reinforcement learning.,79.0,26,True,2021-06-05 10:34:19.000000,0.6.4,13.0,tensorforce,,,,['tensorflow'],46.0,,https://pypi.org/project/tensorforce,2019-09-07 13:56:18.000000,46.0,1649.0,1649.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n273,VisPy,vispy/vispy,,data-viz,https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22.000000,2021-07-15 12:41:51.000000,2021-07-13 19:18:21.000000,562,338.0,878.0,2683.0,,High-performance interactive 2D/3D data visualization library.,156.0,26,True,2021-07-13 19:37:20.000000,0.7.1,18.0,vispy,conda-forge/vispy,,,['jupyter'],662.0,540.0,https://pypi.org/project/vispy,2021-07-13 19:35:31.000000,122.0,30917.0,34592.0,https://anaconda.org/conda-forge/vispy,2021-07-13 23:17:05.070000,163014.0,,,,,3.0,,,vispy,https://www.npmjs.com/package/vispy,2020-03-15 14:39:41.516000,,53.0,,,,,,,,,,,,,,\n274,pygal,Kozea/pygal,,graph,https://github.com/Kozea/pygal,https://github.com/Kozea/pygal,LGPL-3.0,2011-09-23 10:17:50.000000,2021-04-18 11:29:44.000000,2021-03-18 13:12:51.000000,384,164.0,242.0,2372.0,1014.0,PYthon svg GrAph plotting Library.,70.0,26,False,2017-07-05 09:22:41.000000,2.4.0,74.0,pygal,conda-forge/pygal,,,,1152.0,,https://pypi.org/project/pygal,2020-10-14 13:06:35.000000,1152.0,109045.0,109334.0,https://anaconda.org/conda-forge/pygal,2019-06-04 02:55:56.728000,7225.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n275,facenet-pytorch,timesler/facenet-pytorch,,image,https://github.com/timesler/facenet-pytorch,https://github.com/timesler/facenet-pytorch,MIT,2019-05-25 01:29:24.000000,2021-05-23 21:26:30.000000,2021-05-23 21:26:30.000000,481,44.0,89.0,2215.0,234.0,Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models.,14.0,26,True,2021-03-10 01:00:20.000000,2.5.2,31.0,facenet-pytorch,,,,['pytorch'],410.0,404.0,https://pypi.org/project/facenet-pytorch,2021-03-10 01:00:20.000000,6.0,12618.0,18617.0,,,,,,,,2.0,119988.0,,,,,,,,,,,,,,,,,,,,\n276,aubio,aubio/aubio,,audio,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44.000000,2021-05-18 20:58:41.000000,2021-01-19 09:51:49.000000,311,117.0,175.0,2156.0,4111.0,a library for audio and music analysis.,24.0,26,False,2019-02-27 09:00:43.000000,0.4.9,10.0,aubio,conda-forge/aubio,,,,274.0,238.0,https://pypi.org/project/aubio,2019-02-08 11:21:02.000000,36.0,2965.0,11493.0,https://anaconda.org/conda-forge/aubio,2021-01-19 16:59:52.641000,443499.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n277,haystack,deepset-ai/haystack,,nlp,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000000,2021-07-15 14:39:03.000000,2021-07-15 06:26:22.000000,411,114.0,642.0,2103.0,697.0,End-to-end Python framework for building natural language search interfaces to data. Leverages Transformers and the..,55.0,26,True,2021-06-21 16:50:42.000000,0.9.0,34.0,haystack,,,,,228.0,62.0,https://pypi.org/project/haystack,2017-07-03 04:44:52.000000,166.0,1663.0,1663.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n278,ipyparallel,ipython/ipyparallel,,distributed-ml,https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,BSD-3-Clause,2015-04-09 07:43:55.000000,2021-07-13 07:31:39.000000,2021-07-10 07:04:09.000000,795,66.0,223.0,2005.0,,Interactive Parallel Computing in Python.,101.0,26,True,2020-05-05 18:42:38.000000,6.3.0,25.0,ipyparallel,conda-forge/ipyparallel,,,['jupyter'],2116.0,1626.0,https://pypi.org/project/ipyparallel,2021-07-10 07:07:59.000000,490.0,58394.0,65918.0,https://anaconda.org/conda-forge/ipyparallel,2021-01-22 17:12:52.539000,474013.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n279,StellarGraph,stellargraph/stellargraph,,graph,https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51.000000,2021-06-15 17:03:28.000000,2021-02-18 01:03:15.000000,292,249.0,719.0,1990.0,2515.0,StellarGraph - Machine Learning on Graphs.,32.0,26,True,2020-06-30 05:15:21.000000,1.2.1,25.0,stellargraph,,,,['tensorflow'],78.0,74.0,https://pypi.org/project/stellargraph,2020-06-30 05:10:43.000000,4.0,12511.0,12511.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n280,pytorch-optimizer,jettify/pytorch-optimizer,,pytorch-utils,https://github.com/jettify/pytorch-optimizer,https://github.com/jettify/pytorch-optimizer,Apache-2.0,2020-01-03 03:16:39.000000,2021-07-12 10:08:23.000000,2021-07-06 02:10:38.000000,183,10.0,26.0,1964.0,403.0,torch-optimizer -- collection of optimizers for Pytorch.,21.0,26,True,2021-01-01 16:51:15.000000,0.1.0,19.0,torch_optimizer,,,,['pytorch'],259.0,259.0,https://pypi.org/project/torch_optimizer,2021-01-01 16:51:15.000000,0.0,24962.0,24962.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n281,PyFunctional,EntilZha/PyFunctional,,data-pipelines,https://github.com/EntilZha/PyFunctional,https://github.com/EntilZha/PyFunctional,MIT,2015-02-05 17:17:51.000000,2021-07-06 23:48:13.000000,2021-07-06 23:48:13.000000,103,3.0,118.0,1876.0,519.0,Python library for creating data pipelines with chain functional programming.,24.0,26,True,2021-01-12 19:21:07.000000,1.4.3,14.0,pyfunctional,,,,,303.0,303.0,https://pypi.org/project/pyfunctional,2021-01-12 19:14:48.000000,0.0,73068.0,73068.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n282,langid,saffsd/langid.py,,nlp,https://github.com/saffsd/langid.py,https://github.com/saffsd/langid.py,BSD-3-Clause,2011-04-29 00:16:56.000000,2020-01-01 10:49:30.000000,2017-07-15 02:49:17.000000,267,25.0,45.0,1819.0,242.0,Stand-alone language identification system.,9.0,26,False,2016-04-05 22:34:15.000000,1.1.6,8.0,langid,,,,,996.0,746.0,https://pypi.org/project/langid,2016-04-05 22:34:15.000000,250.0,368168.0,368168.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n283,swifter,jmcarpenter2/swifter,,data-containers,https://github.com/jmcarpenter2/swifter,https://github.com/jmcarpenter2/swifter,MIT,2018-04-07 21:37:19.000000,2021-06-26 01:03:15.021000,2021-06-25 21:30:09.000000,83,19.0,82.0,1695.0,427.0,A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner.,14.0,26,True,2021-06-25 21:31:10.000000,1.0.9,73.0,swifter,conda-forge/swifter,,,['pandas'],381.0,349.0,https://pypi.org/project/swifter,2021-06-25 21:31:10.000000,32.0,81761.0,85842.0,https://anaconda.org/conda-forge/swifter,2021-06-26 01:03:15.021000,110191.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n284,category_encoders,scikit-learn-contrib/category_encoders,,sklearn-utils,https://github.com/scikit-learn-contrib/category_encoders,https://github.com/scikit-learn-contrib/category_encoders,BSD-3-Clause,2015-11-29 19:32:37.000000,2021-06-22 21:39:16.000000,2020-07-31 10:43:44.000000,312,74.0,136.0,1691.0,671.0,A library of sklearn compatible categorical variable encoders.,37.0,26,True,2020-04-29 02:09:51.000000,2.2.2,19.0,category_encoders,conda-forge/category_encoders,,,['sklearn'],23.0,,https://pypi.org/project/category_encoders,2018-10-14 14:15:54.000000,23.0,470832.0,472704.0,https://anaconda.org/conda-forge/category_encoders,2020-04-29 22:37:35.948000,112326.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n285,HyperTools,ContextLab/hypertools,,data-viz,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25.000000,2021-07-13 05:01:46.000000,2021-06-15 18:54:54.000000,154,66.0,122.0,1652.0,1597.0,A Python toolbox for gaining geometric insights into high-dimensional data.,21.0,26,True,2021-06-15 19:22:37.000000,0.7.0,20.0,hypertools,,,,,140.0,131.0,https://pypi.org/project/hypertools,2021-06-15 19:22:37.000000,9.0,6071.0,6071.0,,,,,,,,3.0,2.0,,,,,,,,,,,,,,,,,,,,\n286,hnswlib,nmslib/hnswlib,,nn-search,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000000,2021-07-14 04:26:17.000000,2021-06-30 05:17:40.000000,283,103.0,114.0,1601.0,315.0,Header-only C++/python library for fast approximate nearest neighbors.,46.0,26,True,2021-06-30 22:24:23.000000,0.5.2,6.0,hnswlib,,,,,134.0,132.0,https://pypi.org/project/hnswlib,2021-06-30 22:24:23.000000,2.0,35690.0,35690.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n287,mtcnn,ipazc/mtcnn,,image,https://github.com/ipazc/mtcnn,https://github.com/ipazc/mtcnn,MIT,2018-01-05 04:08:32.000000,2021-07-09 12:30:42.000000,2021-07-09 11:06:18.000000,415,63.0,37.0,1569.0,56.0,\"MTCNN face detection implementation for TensorFlow, as a PIP package.\",15.0,26,True,2021-07-09 11:16:39.000000,0.1.1,11.0,mtcnn,,,,['tensorflow'],1365.0,1323.0,https://pypi.org/project/mtcnn,2021-07-09 11:16:39.000000,42.0,21201.0,21201.0,,,,,,,,2.0,,,,,,,,2.0,,,,,,,,,,,,,\n288,datasketch,ekzhu/datasketch,,data-containers,https://github.com/ekzhu/datasketch,https://github.com/ekzhu/datasketch,MIT,2015-03-20 01:21:46.000000,2021-06-02 06:52:35.000000,2021-06-02 06:48:06.000000,211,23.0,94.0,1539.0,195.0,\"MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble.\",18.0,26,True,2020-12-23 21:01:43.000000,1.5.3,75.0,datasketch,,,,,383.0,297.0,https://pypi.org/project/datasketch,2020-12-23 21:01:43.000000,86.0,276198.0,276198.0,,,,,,,,3.0,18.0,,,,,,,,,,,,,,,,,,,,\n289,petastorm,uber/petastorm,,distributed-ml,https://github.com/uber/petastorm,https://github.com/uber/petastorm,Apache-2.0,2018-06-15 23:15:29.000000,2021-07-05 16:06:00.000000,2021-06-29 17:31:15.000000,199,138.0,121.0,1182.0,645.0,Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets..,39.0,26,True,2021-06-24 15:50:55.000000,0.11.1,71.0,petastorm,,,,,36.0,36.0,https://pypi.org/project/petastorm,2021-06-02 18:12:58.000000,0.0,121454.0,121462.0,,,,,,,,2.0,308.0,,,,,,,,,,,,,,,,,,,,\n290,bt,pmorissette/bt,,financial-data,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28.000000,2021-05-15 18:58:08.000000,2021-05-15 18:58:08.000000,290,35.0,213.0,1111.0,438.0,bt - flexible backtesting for Python.,24.0,26,True,2021-04-21 02:52:26.000000,0.2.9,25.0,bt,,,,,102.0,62.0,https://pypi.org/project/bt,2021-04-21 02:52:26.000000,40.0,8481.0,8481.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n291,snakemake,snakemake/snakemake,,ml-experiments,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867000,2021-07-14 18:27:54.000000,2021-07-06 20:00:44.000000,231,420.0,259.0,1022.0,,\"This is the development home of the workflow management system Snakemake. For general information, see.\",204.0,26,True,2021-07-06 20:01:32.000000,6.5.3,179.0,snakemake,bioconda/snakemake,,,,1142.0,854.0,https://pypi.org/project/snakemake,2021-07-06 20:02:14.000000,288.0,27088.0,31617.0,https://anaconda.org/bioconda/snakemake,2021-07-07 09:58:59.737000,312506.0,,,,,2.0,,,,,,,,-3.0,,,,,,,,,,,,,\n292,fancyimpute,iskandr/fancyimpute,,sklearn-utils,https://github.com/iskandr/fancyimpute,https://github.com/iskandr/fancyimpute,Apache-2.0,2015-11-05 23:39:34.000000,2021-06-19 06:16:43.000000,2021-06-18 18:17:55.000000,153,5.0,106.0,976.0,199.0,Multivariate imputation and matrix completion algorithms implemented in Python.,11.0,26,True,2021-06-19 06:16:43.000000,0.6.0,27.0,fancyimpute,,,,['sklearn'],1069.0,1027.0,https://pypi.org/project/fancyimpute,2021-06-19 06:16:43.000000,42.0,16173.0,16173.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n293,kmodes,nicodv/kmodes,,others,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40.000000,2021-07-15 04:36:49.000000,2021-07-15 04:36:46.000000,347,18.0,114.0,879.0,464.0,\"Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data.\",18.0,26,True,2021-02-13 03:34:23.000000,0.11.0,13.0,kmodes,,,,,690.0,664.0,https://pypi.org/project/kmodes,2021-02-13 03:26:34.000000,26.0,145769.0,145769.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n294,ktrain,amaiya/ktrain,,ml-frameworks,https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39.000000,2021-07-15 13:32:46.000000,2021-06-23 22:06:55.000000,209,7.0,344.0,856.0,2345.0,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,12.0,26,True,2021-06-23 22:08:14.000000,0.26.4,152.0,ktrain,,,,['tensorflow'],194.0,192.0,https://pypi.org/project/ktrain,2021-06-23 22:07:39.000000,2.0,23671.0,23671.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n295,Nilearn,nilearn/nilearn,,medical-data,https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000000,2021-07-13 19:45:26.000000,2021-07-05 09:36:42.000000,416,378.0,1237.0,754.0,,Machine learning for NeuroImaging in Python.,173.0,26,True,2021-06-16 14:57:54.000000,0.8.0,37.0,nilearn,conda-forge/nilearn,,,['sklearn'],1410.0,1108.0,https://pypi.org/project/nilearn,2021-06-16 14:52:34.000000,302.0,30565.0,32261.0,https://anaconda.org/conda-forge/nilearn,2021-06-16 19:16:17.369000,104867.0,,,,,2.0,5.0,,,,,,,,,,,,,,,,,,,,\n296,Hail,hail-is/hail,,medical-data,https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000000,2021-07-15 14:57:01.000000,2021-07-15 14:11:22.000000,195,55.0,1952.0,732.0,7617.0,Scalable genomic data analysis.,74.0,26,True,2021-07-09 00:28:29.000000,0.2.71,91.0,hail,,,,['spark'],43.0,43.0,https://pypi.org/project/hail,2021-07-09 00:28:33.000000,0.0,8551.0,8551.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n297,zarr,zarr-developers/zarr-python,,data-containers,https://github.com/zarr-developers/zarr-python,https://github.com/zarr-developers/zarr-python,MIT,2015-12-15 14:49:40.000000,2021-07-15 14:46:50.000000,2021-07-02 07:11:26.000000,120,199.0,244.0,730.0,1431.0,\"An implementation of chunked, compressed, N-dimensional arrays for Python.\",45.0,26,True,2021-07-12 09:01:27.000000,2.8.3,37.0,zarr,conda-forge/zarr,,,,834.0,762.0,https://pypi.org/project/zarr,2021-05-20 14:34:13.000000,72.0,44421.0,57637.0,https://anaconda.org/conda-forge/zarr,2021-05-21 03:10:15.230000,819393.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n298,CLTK,cltk/cltk,,nlp,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000000,2021-07-03 17:12:10.000000,2021-06-17 14:44:55.000000,301,122.0,379.0,670.0,3576.0,The Classical Language Toolkit.,111.0,26,True,2021-06-17 14:45:44.000000,1.0.16,186.0,cltk,,,,,241.0,173.0,https://pypi.org/project/cltk,2021-06-17 14:45:44.000000,68.0,2404.0,2404.0,,,,,,,,2.0,22.0,,,,,,,,,,,,,,,,,,,,\n299,SMAC3,automl/SMAC3,,hyperopt,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-3-Clause,2016-08-17 10:58:05.000000,2021-07-11 08:55:21.000000,2020-10-29 10:14:55.000000,160,77.0,254.0,593.0,1888.0,Sequential Model-based Algorithm Configuration.,30.0,26,True,2021-03-15 08:26:39.000000,0.13.1,29.0,smac,,,,,58.0,,https://pypi.org/project/smac,2020-10-29 10:57:56.000000,58.0,28781.0,28781.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n300,PyNNDescent,lmcinnes/pynndescent,,nn-search,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000000,2021-07-06 21:40:43.689000,2021-07-06 18:19:28.000000,55,31.0,39.0,420.0,508.0,A Python nearest neighbor descent for approximate nearest neighbors.,15.0,26,True,2021-07-06 16:06:28.000000,0.5.4,23.0,pynndescent,conda-forge/pynndescent,,,,621.0,615.0,https://pypi.org/project/pynndescent,2021-07-06 16:06:28.000000,6.0,473960.0,481105.0,https://anaconda.org/conda-forge/pynndescent,2021-07-06 21:40:43.689000,178646.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n301,audioread,beetbox/audioread,,audio,https://github.com/beetbox/audioread,https://github.com/beetbox/audioread,MIT,2011-11-08 19:53:18.000000,2021-03-16 02:44:53.632000,2020-10-20 11:22:05.000000,83,31.0,44.0,368.0,232.0,cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python.,20.0,26,True,2020-10-20 11:23:09.000000,2.1.9,25.0,audioread,conda-forge/audioread,,,,6212.0,5626.0,https://pypi.org/project/audioread,2020-10-20 11:23:09.000000,586.0,664663.0,669914.0,https://anaconda.org/conda-forge/audioread,2021-03-16 02:44:53.632000,315107.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n302,TensorFlow Cloud,tensorflow/cloud,,tensorflow-utils,https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59.000000,2021-07-14 16:56:33.000000,2021-07-14 16:56:25.000000,53,48.0,26.0,295.0,555.0,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,23.0,26,False,2021-06-17 01:15:10.000000,0.1.16,19.0,tensorflow-cloud,,,,['tensorflow'],84.0,84.0,https://pypi.org/project/tensorflow-cloud,2021-06-17 01:15:10.000000,0.0,754944.0,754944.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n303,Cython BLIS,explosion/cython-blis,,others,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16.000000,2021-03-15 19:42:45.000000,2021-03-15 19:42:37.000000,25,6.0,16.0,170.0,526.0,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,9.0,26,False,2020-12-07 08:56:44.000000,0.7.4,35.0,blis,conda-forge/cython-blis,,,,12040.0,11650.0,https://pypi.org/project/blis,2020-12-07 08:56:44.000000,390.0,2448818.0,2483077.0,https://anaconda.org/conda-forge/cython-blis,2021-01-31 09:13:47.685000,959255.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n304,spleeter,deezer/spleeter,,audio,https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000000,2021-06-29 20:46:58.000000,2021-06-02 14:43:25.000000,1767,93.0,471.0,16903.0,463.0,Deezer source separation library including pretrained models.,17.0,25,True,2021-04-15 15:05:07.000000,2.2.2,33.0,spleeter,conda-forge/spleeter,,,['tensorflow'],0.0,,https://pypi.org/project/spleeter,2021-04-15 15:05:07.000000,0.0,8431.0,65155.0,https://anaconda.org/conda-forge/spleeter,2020-06-30 14:33:43.220000,55623.0,,,,,2.0,1132817.0,,,,,,,,,,,,,,,,,,,,\n305,Ludwig,ludwig-ai/ludwig,,ml-frameworks,https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000000,2021-07-14 23:54:00.000000,2021-07-14 18:34:24.000000,915,121.0,440.0,7768.0,2172.0,Ludwig is a toolbox that allows to train and evaluate deep learning models without the need to write code.,94.0,25,True,2021-06-15 04:22:19.000000,0.4,19.0,ludwig,,,,['tensorflow'],104.0,92.0,https://pypi.org/project/ludwig,2021-06-15 04:19:55.000000,12.0,2559.0,2559.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n306,pysc2,deepmind/pysc2,,others,https://github.com/deepmind/pysc2,https://github.com/deepmind/pysc2,Apache-2.0,2017-07-25 18:16:57.000000,2020-07-29 16:22:31.000000,2019-09-27 15:23:22.000000,1103,57.0,203.0,7283.0,513.0,StarCraft II Learning Environment.,34.0,25,False,2019-09-27 15:48:01.000000,3.0.0,7.0,pysc2,,,,,306.0,266.0,https://pypi.org/project/pysc2,2019-09-27 15:48:01.000000,40.0,1316.0,1889.0,,,,,,,,2.0,26944.0,,,,,,,,,,,,,,,,,,,,\n307,Milvus,milvus-io/milvus,,nn-search,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000000,2021-07-15 14:35:30.000000,2021-07-15 13:18:36.000000,939,314.0,2486.0,6924.0,7509.0,\"An open source vector database powered by Faiss, NMSLIB and Annoy.\",146.0,25,True,2021-06-16 06:50:46.000000,1.1.1,51.0,pymilvus,,milvusdb/milvus,,,6.0,,https://pypi.org/project/pymilvus,2021-07-12 12:18:12.000000,6.0,19325.0,37990.0,,,,https://hub.docker.com/r/milvusdb/milvus,2021-07-13 02:02:00.924841,13.0,410639.0,3.0,,,,,,,,,,,,,,,,,,,,,\n308,PaddleHub,PaddlePaddle/PaddleHub,,others,https://github.com/PaddlePaddle/PaddleHub,https://github.com/PaddlePaddle/PaddleHub,Apache-2.0,2018-12-21 06:00:48.000000,2021-07-14 16:27:26.000000,2021-07-06 02:49:40.000000,1327,282.0,591.0,6698.0,,\"Awesome pre-trained models toolkit based on PaddlePaddle.(300+ models including Image, Text, Audio and Video with Easy..\",39.0,25,True,2021-04-27 09:56:48.000000,2.1.0,45.0,paddlehub,,,,['paddle'],338.0,338.0,https://pypi.org/project/paddlehub,2021-04-27 09:56:48.000000,0.0,4442.0,4461.0,,,,,,,,2.0,544.0,,,,,,,,,,,,,,,,,,,,\n309,Vaex,vaexio/vaex,,data-containers,https://github.com/vaexio/vaex,https://github.com/vaexio/vaex,MIT,2014-09-27 09:44:42.000000,2021-07-13 12:53:50.000000,2021-07-11 16:53:56.000000,498,317.0,514.0,6438.0,3155.0,\"Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualize and explore big tabular data at a billion..\",47.0,25,True,2021-06-17 14:04:57.000000,4.3.0,53.0,vaex,conda-forge/vaex,,,,4.0,,https://pypi.org/project/vaex,2021-06-17 14:04:57.000000,4.0,18741.0,20671.0,https://anaconda.org/conda-forge/vaex,2021-06-18 07:36:59.502000,109945.0,,,,,3.0,217.0,,,,,,,,,,,,,,,,,,,,\n310,Trax,google/trax,,others,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000000,2021-07-15 11:29:31.000000,2021-07-15 09:19:53.000000,610,77.0,118.0,6304.0,1512.0,Trax Deep Learning with Clear Code and Speed.,70.0,25,True,2021-05-21 19:54:43.000000,1.3.9,22.0,trax,,,,,32.0,32.0,https://pypi.org/project/trax,2021-05-21 19:54:03.000000,,4451.0,4451.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n311,PyText,facebookresearch/pytext,,nlp,https://github.com/facebookresearch/pytext,https://github.com/facebookresearch/pytext,BSD-3-Clause,2018-07-31 23:40:46.000000,2021-07-14 20:10:12.000000,2021-07-14 20:10:06.000000,804,145.0,74.0,6217.0,1610.0,A natural language modeling framework based on PyTorch.,199.0,25,True,2020-06-08 23:30:58.000000,0.3.3,13.0,pytext-nlp,,,,['pytorch'],91.0,90.0,https://pypi.org/project/pytext-nlp,2020-06-08 22:49:33.000000,1.0,538.0,546.0,,,,,,,,2.0,254.0,,,,,,,,,,,,,,,,,,,,\n312,carla,carla-simulator/carla,,others,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000000,2021-07-15 14:33:31.000000,2021-04-21 21:38:33.000000,1863,416.0,2896.0,6198.0,4761.0,Open-source simulator for autonomous driving research.,122.0,25,True,2020-12-23 07:08:35.000000,0.9.11,22.0,carla,,,,,82.0,78.0,https://pypi.org/project/carla,2019-04-28 17:45:24.000000,4.0,757.0,757.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n313,stanza,stanfordnlp/stanza,,nlp,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56.000000,2021-07-14 17:18:51.588000,2021-07-13 04:49:50.000000,717,70.0,478.0,5519.0,,Official Stanford NLP Python Library for Many Human Languages.,38.0,25,True,2021-07-13 04:41:54.000000,1.2.2,12.0,stanza,stanfordnlp/stanza,,,,561.0,557.0,https://pypi.org/project/stanza,2021-07-13 04:41:54.000000,4.0,47666.0,47909.0,https://anaconda.org/stanfordnlp/stanza,2021-07-14 17:18:51.588000,3891.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n314,keras-rl,keras-rl/keras-rl,,reinforcement-learning,https://github.com/keras-rl/keras-rl,https://github.com/keras-rl/keras-rl,MIT,2016-07-02 15:53:12.000000,2020-11-20 07:32:13.000000,2019-11-11 22:14:54.000000,1323,40.0,219.0,5084.0,308.0,Deep Reinforcement Learning for Keras.,40.0,25,False,2018-06-01 07:52:24.000000,0.4.2,8.0,keras-rl,,,,['tensorflow'],607.0,505.0,https://pypi.org/project/keras-rl,2018-06-01 07:52:24.000000,102.0,2151.0,2151.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n315,Edward,blei-lab/edward,,probabilistics,https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05.000000,2019-10-22 20:30:48.000000,2018-07-25 01:28:08.000000,767,212.0,327.0,4642.0,1796.0,\"A probabilistic programming language in TensorFlow. Deep generative models, variational inference.\",87.0,25,False,2018-01-22 06:03:37.000000,1.3.5,28.0,edward,,,,['tensorflow'],311.0,233.0,https://pypi.org/project/edward,2018-01-22 06:03:05.000000,78.0,2754.0,2754.0,,,,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,,,\n316,Augmentor,mdbloice/Augmentor,,image,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55.000000,2020-11-10 05:20:01.000000,2020-03-09 11:32:02.000000,805,118.0,67.0,4480.0,511.0,Image augmentation library in Python for machine learning.,22.0,25,False,2020-01-17 11:59:53.000000,0.2.8,20.0,Augmentor,,,,,377.0,335.0,https://pypi.org/project/Augmentor,2020-01-17 11:59:53.000000,42.0,14134.0,14134.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n317,textgenrnn,minimaxir/textgenrnn,,nlp,https://github.com/minimaxir/textgenrnn,https://github.com/minimaxir/textgenrnn,MIT,2017-08-07 02:13:37.000000,2021-06-18 06:05:47.000000,2020-07-14 02:41:10.000000,686,117.0,85.0,4459.0,174.0,Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines..,19.0,25,True,2020-02-03 01:07:00.000000,2.0.0,14.0,textgenrnn,,,,['tensorflow'],950.0,922.0,https://pypi.org/project/textgenrnn,2020-02-02 21:16:15.000000,28.0,2838.0,2851.0,,,,,,,,2.0,536.0,,,,,,,,,,,,,,,,,,,,\n318,VisualDL,PaddlePaddle/VisualDL,,ml-experiments,https://github.com/PaddlePaddle/VisualDL,https://github.com/PaddlePaddle/VisualDL,Apache-2.0,2017-12-20 12:34:31.000000,2021-06-21 06:09:59.000000,2021-06-21 06:09:59.000000,560,35.0,325.0,4159.0,,Deep Learning Visualization Toolkit.,30.0,25,True,2021-05-24 15:45:53.000000,2.2.0,32.0,visualdl,,,,['paddle'],489.0,479.0,https://pypi.org/project/visualdl,2021-05-23 12:50:12.000000,10.0,20994.0,21004.0,,,,,,,,2.0,140.0,,,,,,,,,,,,,,,,,,,,\n319,BigDL,intel-analytics/BigDL,,distributed-ml,https://github.com/intel-analytics/BigDL,https://github.com/intel-analytics/BigDL,Apache-2.0,2016-08-29 07:59:50.000000,2021-07-12 07:49:55.000000,2021-07-12 07:49:55.000000,915,194.0,730.0,3748.0,2676.0,BigDL: Distributed Deep Learning Framework for Apache Spark.,74.0,25,True,2021-07-09 12:20:26.000000,0.13.0,41.0,bigdl,,,,,32.0,26.0,https://pypi.org/project/bigdl,2021-07-09 11:54:25.000000,6.0,3394.0,3394.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,com.intel.analytics.bigdl:bigdl-SPARK_2.4,https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4,2021-04-20 01:33:14.000000,0.0,\n320,mlpack,mlpack/mlpack,,ml-frameworks,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59.000000,2021-07-15 14:02:39.000000,2021-07-12 04:06:46.000000,1347,147.0,1263.0,3734.0,26556.0,mlpack: a scalable C++ machine learning library --.,274.0,25,True,2020-10-28 18:28:47.000000,3.4.2,40.0,mlpack,conda-forge/mlpack,,,,0.0,,https://pypi.org/project/mlpack,2020-10-28 18:28:47.000000,0.0,983.0,3250.0,https://anaconda.org/conda-forge/mlpack,2021-07-07 23:51:11.771000,81636.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n321,TensorFlowOnSpark,yahoo/TensorFlowOnSpark,,distributed-ml,https://github.com/yahoo/TensorFlowOnSpark,https://github.com/yahoo/TensorFlowOnSpark,Apache-2.0,2017-01-20 18:15:57.000000,2021-07-14 16:10:04.000000,2021-07-07 00:06:56.000000,945,12.0,350.0,3696.0,626.0,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,33.0,25,True,2021-05-25 22:25:31.000000,2.2.4,31.0,tensorflowonspark,,,,\"['tensorflow', 'spark']\",5.0,,https://pypi.org/project/tensorflowonspark,2021-05-25 20:44:29.000000,5.0,98350.0,98350.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n322,lightfm,lyst/lightfm,,recommender-systems,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00.000000,2021-03-25 21:33:37.000000,2021-02-07 21:16:06.000000,592,80.0,342.0,3695.0,428.0,\"A Python implementation of LightFM, a hybrid recommendation algorithm.\",44.0,25,True,2020-11-27 19:48:30.000000,1.16,14.0,lightfm,conda-forge/lightfm,,,,563.0,507.0,https://pypi.org/project/lightfm,2020-11-27 19:55:08.000000,56.0,157409.0,159773.0,https://anaconda.org/conda-forge/lightfm,2021-02-07 22:19:58.097000,99314.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n323,PML,KevinMusgrave/pytorch-metric-learning,,pytorch-utils,https://github.com/KevinMusgrave/pytorch-metric-learning,https://github.com/KevinMusgrave/pytorch-metric-learning,MIT,2019-10-23 17:20:35.000000,2021-07-11 20:12:16.000000,2021-06-11 08:16:56.000000,433,44.0,233.0,3407.0,705.0,\"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.\",19.0,25,True,2021-05-10 02:52:47.000000,0.9.99,161.0,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,,['pytorch'],103.0,103.0,https://pypi.org/project/pytorch-metric-learning,2021-07-11 20:12:16.000000,0.0,10906.0,11079.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2021-05-10 03:54:12.379000,3124.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n324,Activeloop,activeloopai/Hub,,data-pipelines,https://github.com/activeloopai/Hub,https://github.com/activeloopai/Hub,MPL-2.0,2019-08-09 06:17:59.000000,2021-07-15 12:31:15.000000,2021-07-14 10:37:43.000000,258,32.0,249.0,3333.0,2201.0,Fastest dataset optimization and management for machine and deep learning. Stream data real-time & version-control it...,15.0,25,True,2021-07-08 13:25:08.000000,2.0.1,101.0,hub,,,,,178.0,126.0,https://pypi.org/project/hub,2021-07-07 15:33:43.000000,52.0,2228.0,2228.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n325,DoWhy,Microsoft/dowhy,,interpretability,https://github.com/microsoft/dowhy,https://github.com/microsoft/dowhy,MIT,2018-05-31 13:07:04.000000,2021-07-13 09:15:14.000000,2021-07-02 12:43:18.000000,452,32.0,96.0,3053.0,455.0,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,43.0,25,True,2021-03-03 03:44:46.000000,0.6,6.0,dowhy,conda-forge/dowhy,,,,51.0,51.0,https://pypi.org/project/dowhy,2021-03-03 03:45:16.000000,0.0,40158.0,40338.0,https://anaconda.org/conda-forge/dowhy,2021-04-28 19:20:04.698000,2510.0,,,,,2.0,24.0,,,,,,,,,,,,,,,,,,,,\n326,D-Tale,man-group/dtale,,data-viz,https://github.com/man-group/dtale,https://github.com/man-group/dtale,LGPL-2.1,2019-07-15 09:34:48.000000,2021-07-13 21:48:51.000000,2021-07-13 21:48:50.000000,195,30.0,350.0,2500.0,459.0,Visualizer for pandas data structures.,16.0,25,True,2021-07-10 15:34:42.000000,1.52.0,126.0,dtale,conda-forge/dtale,,,\"['pandas', 'jupyter']\",197.0,197.0,https://pypi.org/project/dtale,2021-07-10 15:30:13.000000,0.0,11294.0,15278.0,https://anaconda.org/conda-forge/dtale,2021-07-10 15:54:44.878000,67732.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n327,Neural Network Libraries,sony/nnabla,,ml-frameworks,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10.000000,2021-07-12 14:33:21.000000,2021-07-12 13:55:35.000000,300,29.0,35.0,2471.0,2747.0,Neural Network Libraries.,59.0,25,True,2021-06-27 06:20:56.000000,1.20.1,57.0,nnabla,,,,,34.0,,https://pypi.org/project/nnabla,2021-06-26 22:40:20.000000,34.0,4439.0,4450.0,,,,,,,,3.0,528.0,,,,,,,,,,,,,,,,,,,,\n328,neuralcoref,huggingface/neuralcoref,,nlp,https://github.com/huggingface/neuralcoref,https://github.com/huggingface/neuralcoref,MIT,2017-07-03 13:04:16.000000,2021-06-22 10:51:48.000000,2021-06-22 10:51:48.000000,411,53.0,226.0,2335.0,116.0,Fast Coreference Resolution in spaCy with Neural Networks.,21.0,25,True,2019-04-08 11:28:27.000000,4.0.0,5.0,neuralcoref,conda-forge/neuralcoref,,,,384.0,366.0,https://pypi.org/project/neuralcoref,2019-04-08 09:56:00.000000,18.0,8618.0,9151.0,https://anaconda.org/conda-forge/neuralcoref,2020-02-21 22:10:40.453000,8994.0,,,,,2.0,234.0,,,,,,,,,,,,,,,,,,,,\n329,nlpaug,makcedward/nlpaug,,nlp,https://github.com/makcedward/nlpaug,https://github.com/makcedward/nlpaug,MIT,2019-03-21 03:00:17.000000,2021-07-15 06:38:29.000000,2021-07-14 05:41:32.000000,255,30.0,102.0,2220.0,594.0,Data augmentation for NLP.,16.0,25,True,2021-06-20 22:18:56.000000,1.1.4,30.0,nlpaug,,,,,153.0,151.0,https://pypi.org/project/nlpaug,2021-06-20 21:22:32.000000,2.0,22574.0,22574.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n330,scikit-plot,reiinakano/scikit-plot,,interpretability,https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59.000000,2021-02-26 14:37:45.000000,2018-08-19 12:37:47.000000,248,21.0,39.0,2108.0,130.0,An intuitive library to add plotting functionality to scikit-learn objects.,13.0,25,False,2018-08-19 12:21:01.000000,0.3.7,27.0,scikit-plot,conda-forge/scikit-plot,,,['sklearn'],1185.0,1131.0,https://pypi.org/project/scikit-plot,2018-08-19 12:18:46.000000,54.0,179499.0,181439.0,https://anaconda.org/conda-forge/scikit-plot,2019-06-05 14:23:59.043000,93164.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n331,causalml,uber/causalml,,others,https://github.com/uber/causalml,https://github.com/uber/causalml,Apache-2.0,2019-07-09 02:08:58.000000,2021-07-05 19:34:02.000000,2021-06-08 14:15:33.000000,311,40.0,151.0,2102.0,319.0,Uplift modeling and causal inference with machine learning algorithms.,27.0,25,True,2021-02-19 20:58:43.000000,0.10.0,13.0,causalml,,,,,28.0,28.0,https://pypi.org/project/causalml,2021-02-19 20:32:15.000000,0.0,33637.0,33637.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n332,Hyperas,maxpumperla/hyperas,,hyperopt,https://github.com/maxpumperla/hyperas,https://github.com/maxpumperla/hyperas,MIT,2016-02-19 14:45:10.000000,2020-12-22 08:31:48.000000,2020-12-22 08:31:47.000000,305,88.0,158.0,2088.0,209.0,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,21.0,25,True,2019-02-28 09:16:54.000000,0.4.1,9.0,hyperas,,,,['tensorflow'],249.0,207.0,https://pypi.org/project/hyperas,2019-02-28 09:16:54.000000,42.0,42065.0,42065.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n333,TextDistance,life4/textdistance,,nlp,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10.000000,2021-06-22 10:43:43.000000,2021-06-22 10:43:43.000000,165,9.0,,2000.0,306.0,\"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..\",10.0,25,True,2021-01-29 09:04:46.000000,.4.2.1,21.0,textdistance,conda-forge/textdistance,,,,782.0,754.0,https://pypi.org/project/textdistance,2021-01-29 09:03:27.000000,28.0,259158.0,260317.0,https://anaconda.org/conda-forge/textdistance,2021-01-29 15:41:57.288000,43977.0,,,,,2.0,114.0,,,,,,,,,,,,,,,,,,,,\n334,deepface,serengil/deepface,,image,https://github.com/serengil/deepface,https://github.com/serengil/deepface,MIT,2020-02-08 20:42:28.000000,2021-07-14 13:34:19.000000,2021-07-14 13:34:19.000000,421,4.0,265.0,1863.0,601.0,\"DeepFace: A Lightweight Deep Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Framework..\",15.0,25,True,2021-07-13 06:40:40.000000,0.0.65,64.0,deepface,,,,,189.0,189.0,https://pypi.org/project/deepface,2021-07-13 06:40:40.000000,0.0,13255.0,13255.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n335,polyglot,aboSamoor/polyglot,,nlp,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,GPL-3.0,2014-06-30 02:07:45.000000,2021-04-28 03:41:03.000000,2020-09-22 22:35:28.000000,296,132.0,64.0,1862.0,271.0,Multilingual text (NLP) processing toolkit.,26.0,25,False,2016-07-03 20:05:42.000000,16.7.4,8.0,polyglot,,,,,655.0,525.0,https://pypi.org/project/polyglot,2016-07-03 20:05:42.000000,130.0,84878.0,84878.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n336,pgmpy,pgmpy/pgmpy,,probabilistics,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000000,2021-07-12 13:11:28.000000,2021-07-12 12:55:15.000000,585,224.0,519.0,1840.0,6.0,Python Library for learning (Structure and Parameter) and inference (Statistical and Causal) in Bayesian Networks.,95.0,25,True,2021-06-30 09:15:38.000000,0.1.15,14.0,pgmpy,,,,,256.0,244.0,https://pypi.org/project/pgmpy,2021-06-30 08:05:07.000000,12.0,28246.0,28252.0,,,,,,,,3.0,90.0,,,,,,,,,,,,,,,,,,,,\n337,tslearn,tslearn-team/tslearn,,time-series-data,https://github.com/tslearn-team/tslearn,https://github.com/tslearn-team/tslearn,BSD-2-Clause,2017-05-04 13:08:13.000000,2021-06-18 09:57:39.000000,2021-06-18 09:57:39.000000,236,69.0,171.0,1711.0,,A machine learning toolkit dedicated to time-series data.,32.0,25,True,2021-05-17 21:36:57.000000,0.5.1.0,93.0,tslearn,conda-forge/tslearn,,,['sklearn'],287.0,265.0,https://pypi.org/project/tslearn,2021-05-17 21:47:34.000000,22.0,112111.0,117735.0,https://anaconda.org/conda-forge/tslearn,2021-05-18 05:23:58.496000,224996.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n338,Pandaral·lel,nalepae/pandarallel,,data-containers,https://github.com/nalepae/pandarallel,https://github.com/nalepae/pandarallel,BSD-3-Clause,2019-03-10 11:58:29.000000,2021-05-06 18:57:22.000000,2021-02-04 21:27:26.000000,108,73.0,57.0,1648.0,114.0,A simple and efficient tool to parallelize Pandas operations on all availableCPUs.,14.0,25,True,2021-02-04 21:35:01.000000,1.5.2,29.0,pandarallel,,,,\"['pandas', 'jupyter']\",251.0,251.0,https://pypi.org/project/pandarallel,2021-02-04 21:35:01.000000,0.0,131374.0,131374.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n339,scattertext,JasonKessler/scattertext,,nlp,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12.000000,2021-07-07 11:03:19.668000,2021-07-07 05:57:36.000000,224,17.0,64.0,1628.0,351.0,Beautiful visualizations of how language differs among document types.,11.0,25,True,2021-07-07 06:00:32.000000,0.1.4,133.0,scattertext,conda-forge/scattertext,,,,215.0,199.0,https://pypi.org/project/scattertext,2021-07-07 06:00:32.000000,16.0,3929.0,5065.0,https://anaconda.org/conda-forge/scattertext,2021-07-07 11:03:19.668000,53430.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n340,TextAttack,QData/TextAttack,,adversarial,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000000,2021-07-10 14:31:37.000000,2021-07-02 14:14:01.000000,183,48.0,89.0,1545.0,2072.0,\"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP..\",36.0,25,True,2021-06-25 12:50:33.000000,0.3.0,38.0,textattack,,,,,26.0,26.0,https://pypi.org/project/textattack,2021-06-25 12:50:33.000000,0.0,2738.0,2738.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n341,jellyfish,jamesturk/jellyfish,,nlp,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,BSD-2-Clause,2010-07-09 20:41:11.000000,2021-04-29 19:45:29.000000,2021-04-29 19:45:29.000000,131,12.0,90.0,1490.0,,a python library for doing approximate and phonetic matching of strings.,23.0,25,True,2020-05-21 20:37:01.000000,0.8.2,27.0,jellyfish,conda-forge/jellyfish,,,,3212.0,2566.0,https://pypi.org/project/jellyfish,2020-05-21 20:37:01.000000,646.0,1260404.0,1262790.0,https://anaconda.org/conda-forge/jellyfish,2021-01-08 15:04:47.681000,138428.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n342,Elephas,maxpumperla/elephas,,distributed-ml,https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19.000000,2021-04-23 12:34:45.000000,2021-04-21 22:10:18.000000,290,23.0,123.0,1487.0,496.0,Distributed Deep learning with Keras & Spark.,27.0,25,True,2021-04-23 12:34:45.000000,2.1.0,21.0,elephas,,,,\"['keras', 'spark']\",45.0,42.0,https://pypi.org/project/elephas,2021-04-21 22:11:22.000000,3.0,18913.0,18913.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n343,IB-insync,erdewit/ib_insync,,financial-data,https://github.com/erdewit/ib_insync,https://github.com/erdewit/ib_insync,BSD-2-Clause,2017-07-12 12:09:24.000000,2021-07-09 03:44:35.000000,2021-07-08 17:52:51.000000,433,8.0,319.0,1481.0,592.0,Python sync/async framework for Interactive Brokers API.,28.0,25,True,2021-04-26 18:22:55.000000,0.9.66,91.0,ib_insync,conda-forge/ib-insync,,,,12.0,,https://pypi.org/project/ib_insync,2021-04-26 18:22:55.000000,12.0,12658.0,13100.0,https://anaconda.org/conda-forge/ib-insync,2021-02-25 02:28:19.625000,10627.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n344,chainercv,chainer/chainercv,,image,https://github.com/chainer/chainercv,https://github.com/chainer/chainercv,MIT,2017-02-13 04:15:10.000000,2021-07-01 16:54:50.000000,2020-01-07 11:48:31.000000,318,54.0,168.0,1458.0,4930.0,ChainerCV: a Library for Deep Learning in Computer Vision.,39.0,25,False,2019-06-12 11:55:02.000000,0.13.1,24.0,chainercv,,,,,60.0,,https://pypi.org/project/chainercv,2019-06-12 11:55:40.000000,60.0,6835.0,6835.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n345,Fairness 360,Trusted-AI/AIF360,,interpretability,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15.000000,2021-06-15 04:04:28.000000,2021-06-15 04:04:27.000000,457,48.0,55.0,1439.0,333.0,\"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..\",44.0,25,True,2021-03-04 18:11:34.000000,0.4.0,9.0,aif360,,,,,107.0,103.0,https://pypi.org/project/aif360,2021-03-04 18:11:34.000000,4.0,6554.0,6554.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n346,ViZDoom,mwydmuch/ViZDoom,,reinforcement-learning,https://github.com/mwydmuch/ViZDoom,https://github.com/mwydmuch/ViZDoom,MIT,2015-06-26 18:38:23.000000,2021-07-15 13:38:22.000000,2021-06-16 08:42:22.000000,298,89.0,329.0,1224.0,1471.0,Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information.,44.0,25,True,2020-10-29 15:56:20.000000,1.1.8,19.0,vizdoom,,,,,140.0,116.0,https://pypi.org/project/vizdoom,2020-10-29 15:56:20.000000,24.0,1205.0,1378.0,,,,,,,,2.0,11101.0,,,,,,,,,,,,,,,,,,,,\n347,PyCUDA,inducer/pycuda,,gpu-utilities,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000000,2021-06-25 18:49:21.000000,2021-06-25 18:49:20.000000,239,55.0,140.0,1179.0,,\"CUDA integration for Python, plus shiny features.\",73.0,25,True,2019-08-12 04:15:37.000000,2019.1.2,47.0,pycuda,,,,,1209.0,917.0,https://pypi.org/project/pycuda,2021-04-03 22:28:54.000000,292.0,31011.0,31011.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n348,shapash,MAIF/shapash,,interpretability,https://github.com/MAIF/shapash,https://github.com/MAIF/shapash,Apache-2.0,2020-04-29 07:34:23.000000,2021-07-09 08:10:55.000000,2021-07-09 08:10:55.000000,162,7.0,65.0,1108.0,799.0,Shapash makes Machine Learning models transparent and understandable by everyone.,23.0,25,True,2021-06-18 14:03:50.000000,1.4.2,13.0,shapash,,,,['jupyter'],21.0,21.0,https://pypi.org/project/shapash,2021-06-18 14:03:50.000000,,15801.0,15801.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n349,TabPy,tableau/TabPy,,others,https://github.com/tableau/TabPy,https://github.com/tableau/TabPy,MIT,2016-09-27 21:26:03.000000,2021-07-09 23:02:20.000000,2021-02-04 23:28:56.000000,410,13.0,265.0,1101.0,828.0,Execute Python code on the fly and display results in Tableau visualizations:.,40.0,25,True,2020-11-11 19:06:41.000000,2.3.1,24.0,tabpy,,,,,64.0,64.0,https://pypi.org/project/tabpy,2020-11-11 19:06:41.000000,0.0,14652.0,14652.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n350,spacy-transformers,explosion/spacy-transformers,,nlp,https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000000,2021-07-08 21:39:03.000000,2021-07-08 21:39:03.000000,113,48.0,,984.0,1333.0,\"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.\",16.0,25,True,2021-04-21 07:12:29.000000,1.0.2,45.0,spacy-transformers,,,,['spacy'],220.0,214.0,https://pypi.org/project/spacy-transformers,2021-06-14 10:39:09.000000,6.0,46687.0,46687.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n351,bcolz,Blosc/bcolz,,data-containers,https://github.com/Blosc/bcolz,https://github.com/Blosc/bcolz,BSD-3-Clause,2010-08-18 15:27:02.000000,2021-04-02 08:59:38.000000,2020-09-10 12:12:45.000000,118,126.0,122.0,922.0,1280.0,A columnar data container that can be compressed.,33.0,25,True,2018-04-13 07:44:26.000000,1.2.1,23.0,bcolz,conda-forge/bcolz,,,,2583.0,1615.0,https://pypi.org/project/bcolz,2018-04-13 07:44:26.000000,968.0,26847.0,31643.0,https://anaconda.org/conda-forge/bcolz,2019-11-05 21:09:48.045000,254234.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n352,ffn,pmorissette/ffn,,financial-data,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09.000000,2021-05-15 18:59:42.000000,2021-04-24 00:58:10.000000,195,18.0,76.0,895.0,351.0,ffn - a financial function library for Python.,26.0,25,True,2021-04-21 02:47:21.000000,0.3.6,27.0,ffn,,,,,171.0,129.0,https://pypi.org/project/ffn,2021-04-21 02:47:21.000000,42.0,29464.0,29464.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n353,pyclustering,annoviko/pyclustering,,others,https://github.com/annoviko/pyclustering,https://github.com/annoviko/pyclustering,BSD-3-Clause,2014-02-25 18:59:03.000000,2021-07-15 10:56:43.000000,2021-02-12 19:04:59.000000,197,53.0,585.0,852.0,2079.0,\"pyclustring is a Python, C++ data mining library.\",26.0,25,True,2020-11-25 22:33:07.000000,0.10.1.2,46.0,pyclustering,conda-forge/pyclustering,,,,253.0,217.0,https://pypi.org/project/pyclustering,2020-11-25 22:41:20.000000,36.0,39329.0,40658.0,https://anaconda.org/conda-forge/pyclustering,2021-07-14 21:12:14.195000,25141.0,,,,,2.0,348.0,,,,,,,,,,,,,,,,,,,,\n354,empyrical,quantopian/empyrical,,financial-data,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52.000000,2020-10-14 13:28:13.625000,2020-10-14 13:22:39.000000,269,27.0,26.0,808.0,167.0,Common financial risk and performance metrics. Used by zipline and pyfolio.,22.0,25,True,2020-10-13 21:29:19.000000,0.5.5,21.0,empyrical,conda-forge/empyrical,,,,884.0,662.0,https://pypi.org/project/empyrical,2020-10-13 21:29:19.000000,222.0,54200.0,54497.0,https://anaconda.org/conda-forge/empyrical,2020-10-14 13:28:13.625000,12210.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n355,pingouin,raphaelvallat/pingouin,,probabilistics,https://github.com/raphaelvallat/pingouin,https://github.com/raphaelvallat/pingouin,GPL-3.0,2018-04-01 01:10:22.000000,2021-06-25 15:05:43.000000,2021-06-25 15:05:39.000000,61,20.0,127.0,761.0,1118.0,Statistical package in Python based on Pandas.,20.0,25,False,2021-05-27 22:16:23.000000,0.3.12,33.0,pingouin,conda-forge/pingouin,,,,269.0,259.0,https://pypi.org/project/pingouin,2021-05-27 22:10:24.000000,10.0,68714.0,70006.0,https://anaconda.org/conda-forge/pingouin,2021-05-28 00:27:57.122000,40075.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n356,pythreejs,jupyter-widgets/pythreejs,,data-viz,https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,BSD-3-Clause,2013-12-23 17:02:11.000000,2021-03-02 13:32:39.505000,2021-02-26 14:01:59.000000,162,63.0,142.0,743.0,1659.0,A Jupyter - Three.js bridge.,27.0,25,True,2021-02-26 14:01:21.000000,2.3.0,43.0,pythreejs,conda-forge/pythreejs,,,['jupyter'],51.0,17.0,https://pypi.org/project/pythreejs,2021-02-26 14:01:21.000000,26.0,36405.0,48566.0,https://anaconda.org/conda-forge/pythreejs,2021-03-02 13:32:39.505000,317970.0,,,,,3.0,,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,2021-02-26 13:59:06.062000,8.0,7033.0,,,,,,,,,,,,,,\n357,dask-ml,dask/dask-ml,,distributed-ml,https://github.com/dask/dask-ml,https://github.com/dask/dask-ml,BSD-3-Clause,2017-06-15 15:56:06.000000,2021-07-02 18:03:25.000000,2021-05-23 16:30:58.000000,197,200.0,222.0,727.0,,Scalable Machine Learning with Dask.,65.0,25,True,2021-05-03 13:02:34.000000,1.9.0,28.0,dask-ml,conda-forge/dask-ml,,,,478.0,436.0,https://pypi.org/project/dask-ml,2021-05-03 13:02:34.000000,42.0,82998.0,88104.0,https://anaconda.org/conda-forge/dask-ml,2021-05-03 15:21:05.642000,229785.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n358,pyjanitor,pyjanitor-devs/pyjanitor,,others,https://github.com/pyjanitor-devs/pyjanitor,https://github.com/pyjanitor-devs/pyjanitor,MIT,2018-03-04 22:43:33.000000,2021-07-13 03:25:29.000000,2021-07-12 15:35:19.000000,123,101.0,296.0,699.0,1162.0,Clean APIs for data cleaning. Python implementation of R package Janitor.,89.0,25,True,2021-02-25 17:30:52.000000,0.20.13,49.0,pyjanitor,conda-forge/pyjanitor,,,,108.0,104.0,https://pypi.org/project/pyjanitor,2021-02-25 17:30:52.000000,4.0,9796.0,12154.0,https://anaconda.org/conda-forge/pyjanitor,2021-03-25 12:03:18.871000,94337.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n359,mahotas,luispedro/mahotas,,image,https://github.com/luispedro/mahotas,https://github.com/luispedro/mahotas,MIT,2010-01-31 00:13:06.000000,2021-05-31 13:33:21.000000,2021-05-31 13:33:21.000000,132,16.0,58.0,689.0,1280.0,Computer Vision in Python.,31.0,25,True,2020-08-16 17:22:48.000000,1.4.11,57.0,mahotas,conda-forge/mahotas,,,,849.0,659.0,https://pypi.org/project/mahotas,2020-08-16 17:22:48.000000,190.0,36015.0,40564.0,https://anaconda.org/conda-forge/mahotas,2021-01-22 05:47:20.379000,291155.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n360,PDPbox,SauceCat/PDPbox,,data-viz,https://github.com/SauceCat/PDPbox,https://github.com/SauceCat/PDPbox,MIT,2017-06-26 08:01:54.000000,2021-06-24 15:32:01.000000,2021-03-14 16:01:01.000000,89,19.0,38.0,585.0,227.0,python partial dependence plot toolbox.,7.0,25,True,2021-03-14 16:21:17.000000,0.2.1,3.0,pdpbox,conda-forge/pdpbox,,,,437.0,403.0,https://pypi.org/project/pdpbox,2021-03-14 16:21:17.000000,34.0,65878.0,66219.0,https://anaconda.org/conda-forge/pdpbox,2021-03-14 19:37:51.465000,8196.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n361,tensorflow-upstream,ROCmSoftwarePlatform/tensorflow-upstream,,ml-frameworks,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,Apache-2.0,2018-04-09 21:24:50.000000,2021-07-15 02:34:11.000000,2021-07-14 18:50:13.000000,64,55.0,244.0,564.0,79524.0,TensorFlow ROCm port.,3744.0,25,True,2021-05-21 16:17:54.000000,2.4.3,66.0,tensorflow-rocm,,,,['tensorflow'],,,https://pypi.org/project/tensorflow-rocm,2021-05-21 16:17:54.000000,,1563.0,1563.0,,,,,,,,3.0,17.0,,,,,,,,,,,,,,,,,,,,\n362,mpi4py,mpi4py/mpi4py,,distributed-ml,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-3-Clause,2013-09-05 14:44:25.000000,2021-07-15 14:20:44.000000,2021-07-09 06:01:47.000000,67,7.0,24.0,431.0,2274.0,Python bindings for MPI.,17.0,25,True,2020-07-27 06:40:19.000000,3.0.3,13.0,mpi4py,conda-forge/mpi4py,,,,752.0,,https://pypi.org/project/mpi4py,2019-11-04 13:05:10.000000,752.0,109868.0,121996.0,https://anaconda.org/conda-forge/mpi4py,2021-06-29 05:19:36.466000,697790.0,,,,,2.0,1176.0,,,,,,,,,,,,,,,,,,,,\n363,hvPlot,holoviz/hvplot,,data-viz,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000000,2021-07-12 12:08:10.000000,2021-07-12 12:03:49.000000,56,122.0,251.0,413.0,417.0,\"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.\",29.0,25,True,2021-05-23 04:35:42.000000,0.7.2,31.0,hvplot,conda-forge/hvplot,,,,691.0,661.0,https://pypi.org/project/hvplot,2021-07-12 12:08:10.000000,30.0,35213.0,38167.0,https://anaconda.org/conda-forge/hvplot,2021-05-23 10:57:42.453000,103397.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n364,python-soundfile,bastibe/python-soundfile,,audio,https://github.com/bastibe/python-soundfile,https://github.com/bastibe/python-soundfile,BSD-3-Clause,2013-08-27 13:36:52.000000,2021-01-13 07:52:51.000000,2020-12-01 18:42:47.000000,46,57.0,92.0,392.0,493.0,\"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.\",19.0,25,True,2019-12-04 10:03:39.000000,0.10.3post1,7.0,soundfile,,,,,8645.0,7905.0,https://pypi.org/project/soundfile,2019-11-27 12:16:19.000000,740.0,910942.0,910969.0,,,,,,,,2.0,2456.0,,,,,,,,,,,,,,,,,,,,\n365,ml-metadata,google/ml-metadata,,ml-experiments,https://github.com/google/ml-metadata,https://github.com/google/ml-metadata,Apache-2.0,2019-01-15 21:02:09.000000,2021-07-15 02:07:48.000000,2021-07-15 02:07:44.000000,71,20.0,49.0,349.0,530.0,For recording and retrieving metadata associated with ML developer and data scientist workflows.,13.0,25,True,2021-07-09 22:16:14.000000,1.1.0,28.0,ml-metadata,,,,,136.0,136.0,https://pypi.org/project/ml-metadata,2021-07-09 22:16:14.000000,0.0,865062.0,865114.0,,,,,,,,2.0,1464.0,,,,,,,,,,,,,,,,,,,,\n366,Ciphey,Ciphey/Ciphey,,nlp,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39.000000,2021-07-14 06:56:11.000000,2021-07-14 06:56:11.000000,424,59.0,206.0,7357.0,1854.0,\"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.\",45.0,24,True,2021-06-06 17:14:16.000000,5.14.0,50.0,ciphey,,remnux/ciphey,,,,,https://pypi.org/project/ciphey,2021-06-06 17:13:48.000000,,8316.0,8754.0,,,,https://hub.docker.com/r/remnux/ciphey,2021-06-06 19:39:58.688952,4.0,10523.0,3.0,,,,,,,,,,,,,,,,,,,,,\n367,NuPIC,numenta/nupic,,ml-frameworks,https://github.com/numenta/nupic,https://github.com/numenta/nupic,AGPL-3.0,2013-04-05 23:14:27.000000,2021-03-25 21:39:47.000000,2019-10-23 20:45:07.000000,1585,456.0,1337.0,6261.0,6625.0,\"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..\",121.0,24,False,2018-06-01 15:37:54.000000,1.0.5,53.0,nupic,,,,,142.0,104.0,https://pypi.org/project/nupic,2018-06-01 15:37:54.000000,38.0,3147.0,3147.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n368,Face Alignment,1adrianb/face-alignment,,image,https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44.000000,2021-05-05 16:30:37.000000,2021-05-05 16:30:24.000000,1074,39.0,208.0,5053.0,204.0,2D and 3D Face alignment library build using pytorch.,23.0,24,True,2021-04-28 22:17:22.000000,1.3.4,10.0,face-alignment,,,,['pytorch'],12.0,,https://pypi.org/project/face-alignment,2021-04-28 22:17:22.000000,12.0,6700.0,6700.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n369,Great Expectations,great-expectations/great_expectations,,data-pipelines,https://github.com/great-expectations/great_expectations,https://github.com/great-expectations/great_expectations,Apache-2.0,2017-09-11 00:18:46.000000,2021-07-15 15:10:54.000000,2021-07-14 21:48:36.000000,603,106.0,805.0,4684.0,,Always know what to expect from your data.,207.0,24,True,2021-07-09 17:56:13.000000,untagged-261b2439ac5754716b6d,113.0,great_expectations,,,,,6.0,,https://pypi.org/project/great_expectations,2021-07-09 17:48:43.000000,6.0,944965.0,944965.0,,,,,,,,3.0,,,,,,,,-1.0,,,,,,,,,,,,,\n370,Lasagne,Lasagne/Lasagne,,ml-frameworks,https://github.com/Lasagne/Lasagne,https://github.com/Lasagne/Lasagne,MIT,2014-09-11 15:31:41.000000,2019-11-20 20:28:31.000000,2019-11-20 20:28:30.000000,983,139.0,402.0,3781.0,1161.0,Lightweight library to build and train neural networks in Theano.,72.0,24,False,2015-08-13 21:00:09.000000,0.1,1.0,lasagne,,,,,1340.0,834.0,https://pypi.org/project/lasagne,2015-08-13 21:10:53.000000,506.0,2844.0,2844.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n371,torchdiffeq,rtqichen/torchdiffeq,,pytorch-utils,https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25.000000,2021-06-02 23:05:29.000000,2021-06-02 23:04:37.000000,613,27.0,119.0,3597.0,218.0,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,19.0,24,True,2021-06-02 23:04:51.000000,0.2.2,6.0,torchdiffeq,,,,['pytorch'],118.0,118.0,https://pypi.org/project/torchdiffeq,2021-06-02 23:04:51.000000,0.0,4981.0,4981.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n372,Snips NLU,snipsco/snips-nlu,,nlp,https://github.com/snipsco/snips-nlu,https://github.com/snipsco/snips-nlu,Apache-2.0,2017-02-08 16:16:36.000000,2021-05-03 12:18:32.000000,2021-05-03 12:18:31.000000,473,51.0,196.0,3522.0,2154.0,Snips Python library to extract meaning from text.,22.0,24,True,2020-01-15 10:13:17.000000,0.20.2,58.0,snips-nlu,,,,,16.0,,https://pypi.org/project/snips-nlu,2020-01-15 10:13:17.000000,16.0,4031.0,4031.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n373,einops,arogozhnikov/einops,,ml-frameworks,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08.000000,2021-06-06 15:02:21.000000,2021-06-04 04:11:08.000000,120,26.0,48.0,3341.0,321.0,\"Deep learning operations reinvented (for pytorch, tensorflow, jax and others).\",12.0,24,True,2020-09-08 08:33:29.000000,0.3,3.0,einops,conda-forge/einops,,,,789.0,779.0,https://pypi.org/project/einops,2020-09-08 08:21:26.000000,10.0,195438.0,195699.0,https://anaconda.org/conda-forge/einops,2020-10-15 20:10:19.681000,5744.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n374,yellowbrick,DistrictDataLabs/yellowbrick,,interpretability,https://github.com/DistrictDataLabs/yellowbrick,https://github.com/DistrictDataLabs/yellowbrick,Apache-2.0,2016-05-18 14:12:17.000000,2021-07-13 11:59:04.000000,2021-07-12 16:25:52.000000,478,95.0,542.0,3293.0,,Visual analysis and diagnostic tools to facilitate machine learning model selection.,100.0,24,True,2021-02-13 20:31:18.000000,1.3.post1,22.0,yellowbrick,,,,['sklearn'],62.0,,https://pypi.org/project/yellowbrick,2021-02-13 20:42:26.000000,62.0,237115.0,237115.0,,,,,,,,2.0,,,,,,,,-2.0,,,,,,,,,,,,,\n375,xLearn,aksnzhy/xlearn,,ml-frameworks,https://github.com/aksnzhy/xlearn,https://github.com/aksnzhy/xlearn,Apache-2.0,2017-06-10 08:09:31.000000,2021-01-28 14:17:44.000000,2020-03-03 10:12:35.000000,515,190.0,108.0,2897.0,1340.0,\"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..\",30.0,24,False,2019-04-25 02:10:05.000000,0.4.4,15.0,xlearn,,,,,66.0,64.0,https://pypi.org/project/xlearn,2018-12-04 11:05:06.000000,2.0,2219.0,2285.0,,,,,,,,3.0,2663.0,,,,,,,,,,,,,,,,,,,,\n376,keras-vis,raghakot/keras-vis,,interpretability,https://github.com/raghakot/keras-vis,https://github.com/raghakot/keras-vis,MIT,2016-11-11 23:27:34.000000,2020-04-20 01:03:13.000000,2020-04-20 01:03:12.000000,597,114.0,99.0,2844.0,195.0,Neural network visualization toolkit for keras.,10.0,24,False,2017-07-06 04:55:04.000000,0.4.1,11.0,keras-vis,,,,['tensorflow'],1217.0,1161.0,https://pypi.org/project/keras-vis,2017-07-06 04:55:04.000000,56.0,4050.0,4050.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n377,Core ML Tools,apple/coremltools,,model-serialisation,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000000,2021-07-13 17:02:02.000000,2021-07-13 17:02:02.000000,374,392.0,372.0,2293.0,,\"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.\",115.0,24,True,2021-02-05 02:07:15.000000,4.1,30.0,coremltools,,,,,826.0,560.0,https://pypi.org/project/coremltools,2021-07-07 20:28:20.000000,266.0,52578.0,52642.0,,,,,,,,2.0,2967.0,,,,,,,,,,,,,,,,,,,,\n378,fastNLP,fastnlp/fastNLP,,nlp,https://github.com/fastnlp/fastNLP,https://github.com/fastnlp/fastNLP,Apache-2.0,2018-03-07 13:30:20.000000,2021-07-13 05:14:00.000000,2021-07-13 05:14:00.000000,379,20.0,137.0,2209.0,1743.0,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,50.0,24,True,2020-11-06 15:31:29.000000,0.6.0,10.0,fastnlp,,,,,36.0,35.0,https://pypi.org/project/fastnlp,2019-02-04 02:35:37.000000,1.0,1145.0,1146.0,,,,,,,,3.0,63.0,,,,,,,,,,,,,,,,,,,,\n379,Acme,deepmind/acme,,reinforcement-learning,https://github.com/deepmind/acme,https://github.com/deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000000,2021-07-14 18:36:06.000000,2021-07-14 18:35:19.000000,246,54.0,66.0,2182.0,511.0,A library of reinforcement learning components and agents.,43.0,24,True,2021-05-26 17:12:29.000000,0.2.1,10.0,dm-acme,,,,['tensorflow'],36.0,36.0,https://pypi.org/project/dm-acme,2021-05-26 17:12:54.000000,0.0,1637.0,1637.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n380,MONAI,Project-MONAI/MONAI,,medical-data,https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000000,2021-07-15 14:41:51.000000,2021-07-14 22:27:48.000000,398,109.0,942.0,2119.0,,AI Toolkit for Healthcare Imaging.,72.0,24,True,2021-07-08 23:37:30.000000,0.6.0,25.0,monai,,,,['pytorch'],87.0,87.0,https://pypi.org/project/monai,2021-07-08 20:50:31.000000,0.0,9568.0,9568.0,,,,,,,,2.0,,,,,,,,3.0,,,,,,,,,,,,,\n381,Alphalens,quantopian/alphalens,,financial-data,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15.000000,2020-09-05 16:48:14.000000,2020-04-27 18:40:41.000000,747,38.0,145.0,1985.0,522.0,Performance analysis of predictive (alpha) stock factors.,25.0,24,False,2020-04-30 15:42:52.000000,0.4.0,10.0,alphalens,conda-forge/alphalens,,,,441.0,413.0,https://pypi.org/project/alphalens,2020-04-27 21:03:10.000000,28.0,2819.0,3122.0,https://anaconda.org/conda-forge/alphalens,2020-05-16 13:52:44.922000,12459.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n382,SRU,asappresearch/sru,,pytorch-utils,https://github.com/asappresearch/sru,https://github.com/asappresearch/sru,MIT,2017-08-28 20:37:41.000000,2021-06-29 18:11:30.000000,2021-05-19 15:52:48.000000,290,53.0,66.0,1956.0,400.0,Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755).,21.0,24,True,2021-05-18 16:13:10.000000,2.6.0,32.0,sru,,,,['pytorch'],18.0,16.0,https://pypi.org/project/sru,2021-06-17 23:33:37.000000,2.0,4065.0,4065.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n383,python_speech_features,jameslyons/python_speech_features,,audio,https://github.com/jameslyons/python_speech_features,https://github.com/jameslyons/python_speech_features,MIT,2013-10-31 02:42:08.000000,2020-12-31 13:27:02.000000,2020-12-31 13:27:01.000000,558,23.0,49.0,1938.0,120.0,This library provides common speech features for ASR including MFCCs and filterbank energies.,19.0,24,True,2020-01-14 14:12:10.000000,0.6.1,6.0,python_speech_features,,,,,300.0,,https://pypi.org/project/python_speech_features,2017-08-16 01:46:13.000000,300.0,83931.0,83931.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n384,pytorch-nlp,PetrochukM/PyTorch-NLP,,nlp,https://github.com/PetrochukM/PyTorch-NLP,https://github.com/PetrochukM/PyTorch-NLP,BSD-3-Clause,2018-02-25 05:00:36.000000,2021-07-10 15:56:42.000000,2021-07-10 15:56:42.000000,236,16.0,49.0,1933.0,447.0,Basic Utilities for PyTorch Natural Language Processing (NLP).,18.0,24,True,2019-11-04 05:16:00.000000,0.5.0,19.0,pytorch-nlp,,,,['pytorch'],265.0,247.0,https://pypi.org/project/pytorch-nlp,2019-11-04 04:35:18.000000,18.0,5232.0,5232.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n385,Essentia,MTG/essentia,,audio,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000000,2021-07-09 13:17:07.000000,2021-06-14 16:36:23.000000,422,331.0,579.0,1861.0,2864.0,\"C++ library for audio and music analysis, description and synthesis, including Python bindings.\",71.0,24,False,2015-03-31 16:33:30.000000,2.0,9.0,essentia,,,,,222.0,212.0,https://pypi.org/project/essentia,2021-01-13 00:12:18.000000,10.0,2543.0,2543.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n386,efficientnet,qubvel/efficientnet,,tensorflow-utils,https://github.com/qubvel/efficientnet,https://github.com/qubvel/efficientnet,Apache-2.0,2019-05-30 20:21:09.000000,2021-04-18 18:12:08.000000,2020-09-15 16:19:36.000000,422,59.0,55.0,1854.0,64.0,Implementation of EfficientNet model. Keras and TensorFlow Keras.,8.0,24,True,2020-09-15 16:26:00.000000,1.1.1,9.0,efficientnet,,,,['tensorflow'],682.0,678.0,https://pypi.org/project/efficientnet,2020-09-15 16:26:00.000000,4.0,71268.0,78227.0,,,,,,,,3.0,180956.0,,,,,,,,,,,,,,,,,,,,\n387,Spektral,danielegrattarola/spektral,,graph,https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10.000000,2021-07-14 13:42:51.000000,2021-07-09 07:45:49.000000,236,35.0,135.0,1801.0,1009.0,Graph Neural Networks with Keras and Tensorflow 2.,18.0,24,True,2021-07-09 07:53:54.000000,1.0.7,30.0,spektral,,,,\"['tensorflow\"\"']\",60.0,60.0,https://pypi.org/project/spektral,2021-07-09 07:53:54.000000,0.0,4190.0,4190.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n388,textacy,chartbeat-labs/textacy,,nlp,https://github.com/chartbeat-labs/textacy,https://github.com/chartbeat-labs/textacy,Apache-2.0,2016-02-03 16:52:45.000000,2021-05-31 17:18:30.000000,2021-05-31 16:43:05.000000,226,30.0,210.0,1705.0,,\"NLP, before and after spaCy.\",31.0,24,True,2021-04-12 15:49:48.000000,0.11.0,30.0,textacy,conda-forge/textacy,,,,154.0,,https://pypi.org/project/textacy,2021-04-12 15:49:48.000000,154.0,49283.0,51155.0,https://anaconda.org/conda-forge/textacy,2021-04-13 18:57:20.207000,93636.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n389,Pillow-SIMD,uploadcare/pillow-simd,,image,https://github.com/uploadcare/pillow-simd,https://github.com/uploadcare/pillow-simd,PIL,2014-11-12 15:33:02.000000,2021-06-10 04:31:09.000000,2020-06-02 14:50:14.000000,68,11.0,55.0,1616.0,,The friendly PIL fork.,310.0,24,False,2020-01-02 05:19:26.000000,7.0.0,35.0,pillow-simd,,,,,470.0,420.0,https://pypi.org/project/pillow-simd,2020-01-26 14:30:27.000000,50.0,230333.0,230333.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n390,dtreeviz,parrt/dtreeviz,,interpretability,https://github.com/parrt/dtreeviz,https://github.com/parrt/dtreeviz,MIT,2018-08-13 21:45:15.000000,2021-07-14 16:14:07.000000,2021-07-14 16:14:07.000000,208,20.0,82.0,1578.0,365.0,A python library for decision tree visualization and model interpretation.,16.0,24,True,2021-03-16 21:49:18.000000,1.2,23.0,dtreeviz,,,,,179.0,175.0,https://pypi.org/project/dtreeviz,2021-04-05 19:35:08.000000,4.0,49776.0,49776.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n391,sklearn-contrib-lightning,scikit-learn-contrib/lightning,,sklearn-utils,https://github.com/scikit-learn-contrib/lightning,https://github.com/scikit-learn-contrib/lightning,BSD-3-Clause,2012-01-11 13:53:52.000000,2021-06-15 21:59:11.000000,2021-06-15 21:53:37.000000,193,50.0,40.0,1467.0,728.0,\"Large-scale linear classification, regression and ranking in Python.\",17.0,24,True,2021-06-16 21:04:08.000000,0.6.1,10.0,sklearn-contrib-lightning,conda-forge/sklearn-contrib-lightning,,,['sklearn'],95.0,85.0,https://pypi.org/project/sklearn-contrib-lightning,2021-06-15 21:53:28.000000,10.0,1936.0,4501.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2020-12-20 22:58:20.890000,149647.0,,,,,2.0,71.0,,,,,,,,,,,,,,,,,,,,\n392,bonobo,python-bonobo/bonobo,,data-pipelines,https://github.com/python-bonobo/bonobo,https://github.com/python-bonobo/bonobo,Apache-2.0,2016-12-09 04:03:23.000000,2021-06-01 22:24:45.000000,2021-03-10 15:44:00.000000,119,68.0,108.0,1447.0,978.0,Extract Transform Load for Python 3.5+.,37.0,24,True,2019-05-16 13:19:48.000000,0.6.4,38.0,bonobo,,,http://docs.bonobo-project.org/en/master/,,171.0,119.0,https://pypi.org/project/bonobo,2019-07-20 13:33:19.000000,52.0,11034.0,11034.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n393,streamparse,Parsely/streamparse,,data-pipelines,https://github.com/Parsely/streamparse,https://github.com/Parsely/streamparse,Apache-2.0,2014-05-02 20:33:50.000000,2021-06-21 22:49:33.000000,2020-12-18 18:43:59.000000,219,69.0,263.0,1437.0,1059.0,\"Run Python in Apache Storm topologies. Pythonic API, CLI tooling, and a topology DSL.\",41.0,24,True,2020-10-07 19:53:15.000000,4.0.0,47.0,streamparse,,,,,100.0,48.0,https://pypi.org/project/streamparse,2020-10-07 19:45:19.000000,52.0,4176.0,4176.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n394,TNT,pytorch/tnt,,ml-experiments,https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58.000000,2021-01-22 09:14:29.000000,2021-01-05 19:36:17.000000,190,30.0,35.0,1328.0,156.0,\"Simple tools for logging and visualizing, loading and training.\",35.0,24,True,2019-11-15 12:57:59.000000,0.0.5.1,3.0,torchnet,,,,['pytorch'],661.0,611.0,https://pypi.org/project/torchnet,2018-07-29 23:16:03.000000,50.0,27596.0,27596.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n395,sense2vec,explosion/sense2vec,,nlp,https://github.com/explosion/sense2vec,https://github.com/explosion/sense2vec,MIT,2016-01-23 22:15:49.000000,2021-07-14 13:20:19.752000,2021-04-18 01:50:23.000000,209,17.0,83.0,1262.0,452.0,Contextually-keyed word vectors.,15.0,24,True,2021-04-19 07:05:28.000000,3.0.0,22.0,sense2vec,conda-forge/sense2vec,,,,89.0,77.0,https://pypi.org/project/sense2vec,2021-04-19 07:05:28.000000,12.0,3075.0,4469.0,https://anaconda.org/conda-forge/sense2vec,2021-07-14 13:20:19.752000,20640.0,,,,,3.0,17817.0,,,,,,,,,,,,,,,,,,,,\n396,FairScale,facebookresearch/fairscale,,distributed-ml,https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000000,2021-07-14 00:08:10.000000,2021-07-12 21:04:25.000000,94,45.0,144.0,1252.0,485.0,PyTorch extensions for high performance and large scale training.,36.0,24,True,2021-07-12 21:22:29.000000,0.3.8,20.0,fairscale,,,,['pytorch'],39.0,39.0,https://pypi.org/project/fairscale,2021-07-12 21:16:54.000000,0.0,12806.0,12806.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n397,garage,rlworkgroup/garage,,reinforcement-learning,https://github.com/rlworkgroup/garage,https://github.com/rlworkgroup/garage,MIT,2018-06-10 21:31:23.000000,2021-06-24 21:13:53.000000,2021-06-22 02:58:36.000000,229,205.0,791.0,1216.0,1213.0,A toolkit for reproducible reinforcement learning research.,75.0,24,True,2021-03-23 22:18:36.000000,2021.3.0,21.0,garage,,,,['tensorflow'],19.0,19.0,https://pypi.org/project/garage,2021-03-23 22:18:36.000000,0.0,310.0,310.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n398,pycm,sepandhaghighi/pycm,,others,https://github.com/sepandhaghighi/pycm,https://github.com/sepandhaghighi/pycm,MIT,2018-01-22 19:46:54.000000,2021-07-14 21:20:16.000000,2021-03-11 15:42:19.000000,93,13.0,155.0,1106.0,2619.0,Multi-class confusion matrix library in Python.,14.0,24,True,2021-03-11 15:51:49.000000,3.1,35.0,pycm,,,,,120.0,110.0,https://pypi.org/project/pycm,2021-03-11 15:52:23.000000,10.0,10578.0,10578.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n399,livelossplot,stared/livelossplot,,ml-experiments,https://github.com/stared/livelossplot,https://github.com/stared/livelossplot,MIT,2018-03-10 17:51:43.000000,2021-06-04 14:44:15.000000,2021-06-04 14:24:35.000000,137,3.0,70.0,1095.0,325.0,\"Live training loss plot in Jupyter Notebook for Keras, PyTorch and others.\",17.0,24,True,2021-02-03 16:25:47.000000,0.5.4,24.0,livelossplot,,,,['jupyter'],589.0,579.0,https://pypi.org/project/livelossplot,2021-02-03 16:25:47.000000,10.0,34629.0,34629.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n400,ArcGIS API,Esri/arcgis-python-api,,geospatial-data,https://github.com/Esri/arcgis-python-api,https://github.com/Esri/arcgis-python-api,Apache-2.0,2016-03-16 01:09:14.000000,2021-07-15 12:27:36.000000,2021-07-06 14:14:53.000000,777,128.0,238.0,1078.0,3193.0,Documentation and samples for ArcGIS API for Python.,70.0,24,True,2021-07-06 17:37:19.000000,1.9,30.0,arcgis,,esridocker/arcgis-api-python-notebook,,,20.0,,https://pypi.org/project/arcgis,2021-07-08 16:38:29.000000,20.0,35604.0,35673.0,,,,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,2020-03-06 00:53:45.164342,33.0,4423.0,3.0,,,,,,,,,,,,,,,,,,,,,\n401,pandasql,yhat/pandasql,,data-containers,https://github.com/yhat/pandasql,https://github.com/yhat/pandasql,MIT,2013-02-18 01:53:56.000000,2020-08-14 13:00:13.000000,2017-02-01 15:40:30.000000,143,44.0,23.0,1003.0,127.0,sqldf for pandas.,15.0,24,False,2016-04-20 21:52:36.000000,0.7.3,31.0,pandasql,,,,['pandas'],935.0,837.0,https://pypi.org/project/pandasql,2016-04-20 21:52:36.000000,98.0,477929.0,477929.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n402,Streamz,python-streamz/streamz,,time-series-data,https://github.com/python-streamz/streamz,https://github.com/python-streamz/streamz,BSD-3-Clause,2017-04-04 21:45:49.000000,2021-06-23 01:24:18.000000,2021-06-23 01:24:18.000000,121,95.0,136.0,960.0,749.0,Real-time stream processing for python.,41.0,24,True,2021-01-14 20:47:38.000000,0.6.2,15.0,streamz,conda-forge/streamz,,,,236.0,220.0,https://pypi.org/project/streamz,2021-01-14 20:47:38.000000,16.0,10019.0,13854.0,https://anaconda.org/conda-forge/streamz,2021-01-15 14:38:35.032000,176422.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n403,PennyLane,PennyLaneAI/PennyLane,,others,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000000,2021-07-15 14:51:35.000000,2021-07-09 16:25:41.000000,278,109.0,326.0,927.0,1989.0,PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum..,59.0,24,True,2021-06-22 01:43:40.000000,0.16.0,23.0,pennylane,,,,,20.0,,https://pypi.org/project/pennylane,2021-06-22 01:43:40.000000,20.0,5650.0,5651.0,,,,,,,,2.0,59.0,,,,,,,,,,,,,,,,,,,,\n404,PySAL,pysal/pysal,,geospatial-data,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42.000000,2021-02-08 21:30:44.240000,2021-02-01 00:35:48.000000,241,58.0,585.0,859.0,4119.0,PySAL: Python Spatial Analysis Library Meta-Package.,71.0,24,True,2021-02-02 02:59:42.000000,2.4.0,25.0,pysal,conda-forge/pysal,,,,36.0,,https://pypi.org/project/pysal,2021-02-02 02:59:42.000000,36.0,14466.0,21426.0,https://anaconda.org/conda-forge/pysal,2021-02-08 21:30:44.240000,417649.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n405,openTSNE,pavlin-policar/openTSNE,,data-viz,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000000,2021-06-06 07:19:06.000000,2021-06-06 07:18:34.000000,88,8.0,86.0,858.0,557.0,\"Extensible, parallel implementations of t-SNE.\",10.0,24,True,2021-04-25 19:32:11.000000,0.6.0,21.0,opentsne,conda-forge/opentsne,,,,238.0,234.0,https://pypi.org/project/opentsne,2021-04-25 19:24:59.000000,4.0,31361.0,34886.0,https://anaconda.org/conda-forge/opentsne,2021-05-28 14:28:32.305000,109289.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n406,pyopencl,inducer/pyopencl,,others,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,MIT,2011-04-06 02:51:33.000000,2021-07-08 19:50:36.000000,2021-07-07 05:35:01.000000,213,63.0,224.0,818.0,,\"OpenCL integration for Python, plus shiny features.\",87.0,24,True,2021-06-27 23:38:57.000000,2021.2.5,68.0,pyopencl,conda-forge/pyopencl,,,,774.0,536.0,https://pypi.org/project/pyopencl,2021-07-07 05:35:37.000000,238.0,11955.0,20113.0,https://anaconda.org/conda-forge/pyopencl,2021-07-07 15:54:32.199000,465031.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n407,PySwarms,ljvmiranda921/pyswarms,,others,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45.000000,2021-07-04 09:41:26.000000,2021-06-23 11:19:05.000000,252,16.0,174.0,801.0,409.0,A research toolkit for particle swarm optimization in Python.,43.0,24,True,2021-01-03 21:34:15.000000,1.3.0,20.0,pyswarms,,,,,123.0,123.0,https://pypi.org/project/pyswarms,2021-01-03 21:34:15.000000,0.0,8169.0,8169.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n408,GPyOpt,SheffieldML/GPyOpt,,hyperopt,https://github.com/SheffieldML/GPyOpt,https://github.com/SheffieldML/GPyOpt,BSD-3-Clause,2014-08-13 09:58:25.000000,2020-11-17 10:32:02.000000,2020-11-05 15:16:04.000000,227,100.0,186.0,742.0,514.0,Gaussian Process Optimization using GPy.,49.0,24,True,2020-03-19 21:21:18.000000,1.2.6,11.0,gpyopt,,,,,236.0,200.0,https://pypi.org/project/gpyopt,2020-03-19 11:37:45.000000,36.0,14219.0,14219.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n409,CellProfiler,CellProfiler/CellProfiler,,image,https://github.com/CellProfiler/CellProfiler,https://github.com/CellProfiler/CellProfiler,BSD-3-Clause,2011-04-05 12:10:12.000000,2021-07-15 15:28:05.000000,2021-07-15 14:45:50.000000,288,174.0,2810.0,591.0,15347.0,An open-source application for biological image analysis.,120.0,24,True,2021-06-24 19:10:01.000000,4.2.0,42.0,cellprofiler,,,,,4.0,4.0,https://pypi.org/project/cellprofiler,2017-09-04 18:03:36.000000,,1315.0,1328.0,,,,,,,,3.0,1208.0,,,,,,,,,,,,,,,,,,,,\n410,SALib,SALib/SALib,,probabilistics,https://github.com/SALib/SALib,https://github.com/SALib/SALib,MIT,2013-05-30 13:38:10.000000,2021-07-14 08:47:06.000000,2021-07-08 15:16:07.000000,155,38.0,204.0,485.0,965.0,\"Sensitivity Analysis Library in Python (Numpy). Contains Sobol, Morris, Fractional Factorial and FAST methods.\",30.0,24,True,2021-07-01 12:39:24.000000,1.4.0.2,34.0,salib,conda-forge/salib,,,,44.0,,https://pypi.org/project/salib,2021-07-01 12:45:18.000000,44.0,48546.0,49731.0,https://anaconda.org/conda-forge/salib,2020-10-24 17:04:41.614000,66387.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n411,TensorFlow I/O,tensorflow/io,,tensorflow-utils,https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05.000000,2021-07-15 06:52:01.000000,2021-07-14 13:56:35.000000,170,141.0,295.0,473.0,1467.0,\"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.\",74.0,24,True,2021-06-25 13:22:04.000000,0.19.0,24.0,tensorflow-io,,,,['tensorflow'],0.0,,https://pypi.org/project/tensorflow-io,2021-06-25 13:19:18.000000,0.0,319470.0,319470.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n412,python-ternary,marcharper/python-ternary,,data-viz,https://github.com/marcharper/python-ternary,https://github.com/marcharper/python-ternary,MIT,2012-08-07 23:48:55.000000,2021-06-13 17:23:28.000000,2021-06-13 17:23:27.000000,112,24.0,86.0,438.0,388.0,Ternary plotting library for python with matplotlib.,26.0,24,True,2021-02-17 18:38:15.000000,1.0.8,11.0,python-ternary,conda-forge/python-ternary,,,,86.0,66.0,https://pypi.org/project/python-ternary,2021-02-17 18:38:15.000000,20.0,7384.0,8275.0,https://anaconda.org/conda-forge/python-ternary,2021-02-17 22:38:55.625000,56144.0,,,,,3.0,17.0,,,,,,,,,,,,,,,,,,,,\n413,findspark,minrk/findspark,,others,https://github.com/minrk/findspark,https://github.com/minrk/findspark,BSD-3-Clause,2015-06-12 21:34:06.000000,2021-06-14 06:11:28.000000,2021-06-14 06:10:09.000000,68,11.0,9.0,408.0,,Find pyspark to make it importable.,14.0,24,True,2020-06-08 09:32:23.000000,1.4.2,12.0,findspark,conda-forge/findspark,,,['spark'],2039.0,1837.0,https://pypi.org/project/findspark,2020-06-08 09:32:23.000000,202.0,1464659.0,1473835.0,https://anaconda.org/conda-forge/findspark,2018-07-06 12:57:33.438000,559752.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n414,Cornac,PreferredAI/cornac,,recommender-systems,https://github.com/PreferredAI/cornac,https://github.com/PreferredAI/cornac,Apache-2.0,2018-07-17 06:31:35.000000,2021-07-13 13:03:31.017000,2021-07-13 09:49:20.000000,70,3.0,52.0,380.0,1220.0,A Comparative Framework for Multimodal Recommender Systems.,13.0,24,True,2021-07-13 09:51:11.000000,1.13.5,43.0,cornac,conda-forge/cornac,,,,52.0,50.0,https://pypi.org/project/cornac,2021-07-13 10:05:17.000000,2.0,5566.0,11688.0,https://anaconda.org/conda-forge/cornac,2021-07-13 13:03:31.017000,159193.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n415,metrics,PyTorchLightning/metrics,,distributed-ml,https://github.com/PyTorchLightning/metrics,https://github.com/PyTorchLightning/metrics,Apache-2.0,2020-12-22 20:02:42.000000,2021-07-15 14:53:21.000000,2021-07-14 15:39:21.000000,66,28.0,97.0,380.0,412.0,\"Machine learning metrics for distributed, scalable PyTorch applications.\",70.0,24,True,2021-07-05 16:02:55.000000,0.4.1,15.0,metrics,,,,['pytorch'],453.0,441.0,https://pypi.org/project/metrics,2018-04-28 10:58:56.000000,12.0,3029.0,3065.0,,,,,,,,3.0,144.0,,,,,,,,,,,,,,,,,,,,\n416,sklearn-crfsuite,TeamHG-Memex/sklearn-crfsuite,,sklearn-utils,https://github.com/TeamHG-Memex/sklearn-crfsuite,https://github.com/TeamHG-Memex/sklearn-crfsuite,MIT,2015-11-26 21:15:41.000000,2020-12-30 08:00:27.000000,2019-12-05 08:17:22.000000,155,33.0,22.0,373.0,46.0,scikit-learn inspired API for CRFsuite.,6.0,24,False,2017-06-22 18:49:27.000000,0.3.6,9.0,sklearn-crfsuite,,,,['sklearn'],3304.0,2908.0,https://pypi.org/project/sklearn-crfsuite,2017-06-22 18:49:27.000000,396.0,115525.0,115525.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n417,pyvips,libvips/pyvips,,image,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000000,2021-06-28 13:47:18.054000,2021-06-28 11:48:34.000000,29,80.0,149.0,336.0,397.0,python binding for libvips using cffi.,11.0,24,True,2021-06-28 10:56:34.000000,2.1.15,21.0,pyvips,conda-forge/pyvips,,,,227.0,205.0,https://pypi.org/project/pyvips,2021-06-28 10:56:34.000000,22.0,16165.0,16606.0,https://anaconda.org/conda-forge/pyvips,2021-06-28 13:47:18.054000,10164.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n418,datalad,datalad/datalad,,others,https://github.com/datalad/datalad,https://github.com/datalad/datalad,MIT,2013-11-01 19:40:08.000000,2021-07-14 19:37:33.000000,2021-07-11 14:30:27.000000,75,715.0,2377.0,252.0,14026.0,\"Keep code, data, containers under control with git and git-annex.\",38.0,24,False,2021-06-27 01:02:25.000000,0.14.6,70.0,datalad,conda-forge/datalad,,,,26.0,,https://pypi.org/project/datalad,2021-06-27 01:02:43.000000,26.0,4038.0,7597.0,https://anaconda.org/conda-forge/datalad,2021-06-22 10:20:02.742000,142394.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n419,Orion,Epistimio/orion,,hyperopt,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21.000000,2021-07-08 15:22:07.000000,2021-07-08 15:22:07.000000,41,45.0,119.0,194.0,2859.0,Asynchronous Distributed Hyperparameter Optimization.,23.0,24,False,2021-05-19 20:08:31.000000,0.1.15,16.0,orion,,,,,48.0,40.0,https://pypi.org/project/orion,2021-05-19 20:08:31.000000,8.0,1585.0,1585.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n420,dbnd,databand-ai/dbnd,,data-pipelines,https://github.com/databand-ai/dbnd,https://github.com/databand-ai/dbnd,Apache-2.0,2020-01-02 10:42:47.000000,2021-07-15 12:12:21.000000,2021-07-07 14:48:00.000000,14,6.0,2.0,191.0,2359.0,DBND is an agile pipeline framework that helps data engineering teams track and orchestrate their data processes.,38.0,24,False,2021-07-14 16:23:09.000000,0.44.3,175.0,dbnd,,,,,25.0,25.0,https://pypi.org/project/dbnd,2021-07-15 12:12:21.000000,0.0,79874.0,79874.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n421,cortex,cortexlabs/cortex,,model-serialisation,https://github.com/cortexlabs/cortex,https://github.com/cortexlabs/cortex,Apache-2.0,2019-01-24 04:43:14.000000,2021-07-15 14:58:04.000000,2021-07-15 01:31:05.000000,573,108.0,952.0,7558.0,2230.0,Cost-effective serverless computing.,21.0,23,True,2021-07-06 23:57:08.000000,0.38.0,57.0,cortex,,,,,0.0,,https://pypi.org/project/cortex,2021-07-06 23:53:37.000000,0.0,1609.0,1609.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n422,Apex,NVIDIA/apex,,gpu-utilities,https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000000,2021-07-07 06:18:51.000000,2021-06-15 05:04:31.000000,739,469.0,379.0,5516.0,845.0,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,82.0,23,True,,,1.0,,conda-forge/nvidia-apex,,,['pytorch'],624.0,624.0,,,,,2625.0,https://anaconda.org/conda-forge/nvidia-apex,2021-04-22 16:13:47.237000,55143.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n423,snownlp,isnowfy/snownlp,,chinese-nlp,https://github.com/isnowfy/snownlp,https://github.com/isnowfy/snownlp,MIT,2013-11-26 11:46:56.000000,2020-01-19 02:39:05.000000,2020-01-19 02:39:03.000000,1276,36.0,65.0,5476.0,57.0,Python library for processing Chinese text.,8.0,23,False,2015-09-27 16:35:23.000000,0.12.3,17.0,snownlp,,,,,714.0,638.0,https://pypi.org/project/snownlp,2015-09-27 16:35:23.000000,76.0,5562.0,5562.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n424,flashtext,vi3k6i5/flashtext,,nlp,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01.000000,2021-04-29 02:55:52.000000,2020-05-03 07:13:22.000000,556,54.0,49.0,4851.0,108.0,Extract Keywords from sentence or Replace keywords in sentences.,8.0,23,False,,,18.0,flashtext,,,,,544.0,512.0,https://pypi.org/project/flashtext,2018-02-16 05:24:17.000000,32.0,367484.0,367484.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n425,neon,NervanaSystems/neon,,ml-frameworks,https://github.com/NervanaSystems/neon,https://github.com/NervanaSystems/neon,Apache-2.0,2014-10-16 01:00:17.000000,2020-12-23 01:21:42.000000,2019-05-22 18:27:54.000000,848,87.0,306.0,3852.0,1118.0,Intel Nervana reference deep learning framework committed to best performance on all hardware.,109.0,23,False,2018-01-05 23:25:04.000000,2.6.0,32.0,nervananeon,,,,,48.0,47.0,https://pypi.org/project/nervananeon,2018-01-05 23:25:04.000000,1.0,147.0,151.0,,,,,,,,3.0,317.0,,,,,,,,,,,,,,,,,,,,\n426,DeepMatcher,anhaidgroup/deepmatcher,,nlp,https://github.com/anhaidgroup/deepmatcher,https://github.com/anhaidgroup/deepmatcher,BSD-3-Clause,2017-12-01 19:01:11.000000,2021-06-13 01:13:43.000000,2021-06-13 00:22:13.000000,1380,52.0,22.0,3687.0,176.0,Python package for performing Entity and Text Matching using Deep Learning.,7.0,23,True,2021-05-27 22:28:29.000000,0.1.2,13.0,deepmatcher,,,,,14.0,14.0,https://pypi.org/project/deepmatcher,2021-06-13 01:13:24.000000,,745.0,745.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n427,ArrayFire,arrayfire/arrayfire,,gpu-utilities,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000000,2021-07-12 03:38:14.000000,2021-07-06 06:57:05.000000,475,239.0,1243.0,3552.0,5739.0,ArrayFire: a general purpose GPU library.,82.0,23,True,2021-01-08 21:41:09.000000,3.8.0,30.0,arrayfire,,,,,8.0,,https://pypi.org/project/arrayfire,2021-03-05 17:36:30.000000,8.0,1528.0,1546.0,,,,,,,,2.0,1349.0,,,,,,,,,,,,,,,,,,,,\n428,MatchZoo,NTMC-Community/MatchZoo,,nlp,https://github.com/NTMC-Community/MatchZoo,https://github.com/NTMC-Community/MatchZoo,Apache-2.0,2017-06-08 08:55:22.000000,2021-06-03 02:58:49.000000,2021-06-02 17:38:16.000000,882,27.0,429.0,3462.0,1810.0,\"Facilitating the design, comparison and sharing of deep text matching models.\",36.0,23,True,2019-10-24 13:09:11.000000,2.2.0,5.0,matchzoo,,,,['tensorflow'],10.0,10.0,https://pypi.org/project/matchzoo,2019-10-24 13:09:11.000000,,210.0,210.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n429,PyAlgoTrade,gbeced/pyalgotrade,,financial-data,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54.000000,2021-04-19 00:39:07.000000,2018-08-21 02:42:52.000000,1216,45.0,82.0,3414.0,1156.0,Python Algorithmic Trading Library.,11.0,23,False,,,8.0,pyalgotrade,,,,,103.0,82.0,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25.000000,21.0,1232.0,1232.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n430,TensorTrade,tensortrade-org/tensortrade,,financial-data,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32.000000,2021-06-19 21:14:44.000000,2021-06-19 21:14:43.000000,766,19.0,154.0,3326.0,902.0,\"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.\",53.0,23,True,2021-05-10 18:04:30.000000,1.0.3,27.0,tensortrade,,,,,21.0,20.0,https://pypi.org/project/tensortrade,2021-05-10 18:00:35.000000,1.0,1055.0,1055.0,,,,,,,,3.0,,,,,,,,-1.0,,,,,,,,,,,,,\n431,segmentation_models,qubvel/segmentation_models,,image,https://github.com/qubvel/segmentation_models,https://github.com/qubvel/segmentation_models,MIT,2018-06-05 13:27:56.000000,2021-05-18 07:51:15.000000,2020-04-17 09:51:20.000000,790,187.0,250.0,3308.0,204.0,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,14.0,23,False,2020-01-10 11:36:02.000000,1.0.1,8.0,segmentation_models,,,,['tensorflow'],24.0,,https://pypi.org/project/segmentation_models,2020-01-10 11:36:02.000000,24.0,19617.0,19617.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n432,Chartify,spotify/chartify,,data-viz,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05.000000,2021-03-20 11:20:12.000000,2021-02-05 18:49:02.000000,259,40.0,30.0,2946.0,195.0,Python library that makes it easy for data scientists to create charts.,21.0,23,True,2020-11-02 22:14:08.000000,3.0.3,16.0,chartify,conda-forge/chartify,,,,60.0,55.0,https://pypi.org/project/chartify,2020-11-02 22:14:08.000000,5.0,1616.0,2073.0,https://anaconda.org/conda-forge/chartify,2020-11-07 19:52:50.628000,14630.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n433,Image Super-Resolution,idealo/image-super-resolution,,image,https://github.com/idealo/image-super-resolution,https://github.com/idealo/image-super-resolution,Apache-2.0,2018-11-26 13:41:13.000000,2021-06-02 09:48:09.000000,2021-06-02 09:45:13.000000,547,73.0,105.0,2911.0,150.0,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,10.0,23,True,2020-01-08 15:37:35.000000,2.2.0,11.0,ISR,,idealo/image-super-resolution-gpu,,['tensorflow'],66.0,58.0,https://pypi.org/project/ISR,2020-01-08 15:37:35.000000,8.0,4973.0,4977.0,,,,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,,153.0,3.0,,,,,,,,,,,,,,,,,,,,,\n434,ART,Trusted-AI/adversarial-robustness-toolbox,,adversarial,https://github.com/Trusted-AI/adversarial-robustness-toolbox,https://github.com/Trusted-AI/adversarial-robustness-toolbox,MIT,2018-03-15 14:40:43.000000,2021-07-14 17:34:26.000000,2021-07-14 17:34:23.000000,663,78.0,501.0,2359.0,,\"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..\",81.0,23,True,2021-07-12 12:12:56.000000,1.7.1,33.0,adversarial-robustness-toolbox,,,,,137.0,137.0,https://pypi.org/project/adversarial-robustness-toolbox,2021-07-12 11:31:04.000000,0.0,5727.0,5727.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n435,scikit-opt,guofei9987/scikit-opt,,sklearn-utils,https://github.com/guofei9987/scikit-opt,https://github.com/guofei9987/scikit-opt,MIT,2017-12-05 10:20:41.000000,2021-07-01 06:01:44.000000,2021-07-01 06:01:43.000000,552,21.0,91.0,2358.0,289.0,\"Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune..\",12.0,23,True,2021-06-28 12:45:52.000000,0.6.5,22.0,scikit-opt,,,,['sklearn'],39.0,36.0,https://pypi.org/project/scikit-opt,2021-06-28 12:36:56.000000,3.0,1216.0,1216.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n436,analytics-zoo,intel-analytics/analytics-zoo,,distributed-ml,https://github.com/intel-analytics/analytics-zoo,https://github.com/intel-analytics/analytics-zoo,Apache-2.0,2017-05-05 02:27:30.000000,2021-07-15 12:23:50.000000,2021-07-15 12:23:50.000000,679,523.0,720.0,2341.0,3146.0,\"Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray.\",102.0,23,True,2021-07-15 09:35:43.000000,0.11.0,89.0,analytics-zoo,,,,['spark'],2.0,2.0,https://pypi.org/project/analytics-zoo,2021-07-15 09:35:43.000000,,1658.0,1658.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n437,Arctic,man-group/arctic,,data-containers,https://github.com/man-group/arctic,https://github.com/man-group/arctic,LGPL-2.1,2015-05-29 13:37:30.000000,2021-07-14 15:43:21.000000,2021-04-16 01:50:53.000000,462,86.0,438.0,2335.0,1077.0,Arctic is a high performance datastore for numeric data.,71.0,23,True,2020-12-01 23:17:26.000000,1.79.4,83.0,arctic,conda-forge/arctic,,,,167.0,125.0,https://pypi.org/project/arctic,2020-12-01 23:16:12.000000,42.0,3732.0,4286.0,https://anaconda.org/conda-forge/arctic,2019-12-16 08:57:24.231000,14377.0,,,,,3.0,148.0,,,,,,,,,,,,,,,,,,,,\n438,PandasGUI,adamerose/pandasgui,,data-viz,https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT,2019-06-12 02:19:42.000000,2021-07-10 09:45:38.000000,2021-07-10 09:45:24.000000,134,22.0,102.0,2295.0,403.0,A GUI for Pandas DataFrames.,8.0,23,True,2021-06-26 20:39:27.000000,0.2.12,42.0,pandasgui,,,,['pandas'],85.0,83.0,https://pypi.org/project/pandasgui,2021-06-26 20:39:27.000000,2.0,6077.0,6077.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n439,Enigma Catalyst,enigmampc/catalyst,,financial-data,https://github.com/enigmampc/catalyst,https://github.com/enigmampc/catalyst,Apache-2.0,2017-06-13 22:31:34.000000,2021-01-05 19:10:30.000000,2020-12-28 10:58:58.000000,632,135.0,356.0,2245.0,6362.0,An Algorithmic Trading Library for Crypto-Assets in Python.,145.0,23,True,2018-11-11 16:46:28.000000,0.5.21,52.0,enigma-catalyst,,,,,25.0,23.0,https://pypi.org/project/enigma-catalyst,2018-11-11 16:46:28.000000,2.0,2419.0,2419.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n440,TF Ranking,tensorflow/ranking,,recommender-systems,https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57.000000,2021-07-01 11:47:03.000000,2021-05-24 23:21:34.000000,385,29.0,217.0,2187.0,392.0,Learning to Rank in TensorFlow.,20.0,23,True,2021-05-25 17:36:24.000000,0.4.0,16.0,tensorflow_ranking,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow_ranking,2021-05-25 15:34:56.000000,2.0,93814.0,93814.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n441,knockknock,huggingface/knockknock,,ml-experiments,https://github.com/huggingface/knockknock,https://github.com/huggingface/knockknock,MIT,2019-03-20 13:08:55.000000,2021-07-01 07:54:07.000000,2020-03-16 04:26:47.000000,175,13.0,21.0,2173.0,75.0,Knock Knock: Get notified when your training ends with only two additional lines of code.,18.0,23,False,2020-03-04 04:15:47.000000,0.1.8,10.0,knockknock,conda-forge/knockknock,,,,196.0,193.0,https://pypi.org/project/knockknock,2020-03-16 14:30:23.000000,3.0,1998.0,2331.0,https://anaconda.org/conda-forge/knockknock,2020-03-17 01:52:16.317000,7004.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n442,GluonTS,awslabs/gluon-ts,,time-series-data,https://github.com/awslabs/gluon-ts,https://github.com/awslabs/gluon-ts,Apache-2.0,2019-05-15 17:17:29.000000,2021-07-14 20:08:53.000000,2021-07-06 11:08:11.000000,425,222.0,405.0,2010.0,758.0,Probabilistic time series modeling in Python.,74.0,23,True,2021-07-05 09:20:06.000000,0.8.0,40.0,gluonts,,,,['mxnet'],0.0,,https://pypi.org/project/gluonts,2021-07-05 09:20:06.000000,0.0,51648.0,51648.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n443,polars,pola-rs/polars,,data-containers,https://github.com/pola-rs/polars,https://github.com/pola-rs/polars,MIT,2020-05-13 19:45:33.000000,2021-07-15 10:34:39.000000,2021-07-15 09:41:59.000000,112,40.0,364.0,2009.0,1874.0,Fast multi-threaded DataFrame library in Rust and Python.,33.0,23,True,2021-07-15 10:34:39.000000,0.8.12,44.0,polars,,,,,3.0,3.0,https://pypi.org/project/polars,2021-07-15 10:34:39.000000,0.0,6850.0,6850.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n444,PyFlux,RJT1990/pyflux,,time-series-data,https://github.com/RJT1990/pyflux,https://github.com/RJT1990/pyflux,BSD-3-Clause,2016-02-16 20:12:02.000000,2019-03-19 10:45:02.000000,2018-12-16 15:30:13.000000,213,79.0,65.0,1884.0,118.0,Open source time series library for Python.,6.0,23,False,2017-11-21 16:27:06.000000,0.4.16,35.0,pyflux,,,,,223.0,193.0,https://pypi.org/project/pyflux,2017-11-21 16:27:06.000000,30.0,59848.0,59848.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n445,PaddleSeg,PaddlePaddle/PaddleSeg,,image,https://github.com/PaddlePaddle/PaddleSeg,https://github.com/PaddlePaddle/PaddleSeg,Apache-2.0,2019-08-26 02:32:22.000000,2021-07-15 11:16:54.000000,2021-07-14 12:32:03.000000,440,301.0,262.0,1819.0,,End-to-end image segmentation kit based on PaddlePaddle.,51.0,23,True,2021-07-13 13:07:18.000000,2.2.0,12.0,paddleseg,,,,['paddle'],202.0,202.0,https://pypi.org/project/paddleseg,2021-07-13 13:05:34.000000,0.0,389.0,389.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n446,Multicore-TSNE,DmitryUlyanov/Multicore-TSNE,,data-viz,https://github.com/DmitryUlyanov/Multicore-TSNE,https://github.com/DmitryUlyanov/Multicore-TSNE,BSD-3-Clause,2016-10-19 05:46:52.000000,2021-06-03 12:17:47.000000,2020-08-19 14:58:00.000000,200,37.0,20.0,1596.0,113.0,Parallel t-SNE implementation with Python and Torch wrappers.,15.0,23,True,2017-11-08 13:32:20.000000,0.0.1,3.0,MulticoreTSNE,conda-forge/multicore-tsne,,,['pytorch'],264.0,236.0,https://pypi.org/project/MulticoreTSNE,2019-01-09 07:23:04.000000,28.0,5196.0,5470.0,https://anaconda.org/conda-forge/multicore-tsne,2021-04-23 10:26:30.160000,8785.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n447,PyTextRank,DerwenAI/pytextrank,,nlp,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000000,2021-07-14 04:27:48.000000,2021-06-30 14:47:29.000000,300,20.0,53.0,1571.0,,Python implementation of TextRank for phrase extraction and summarization of text documents.,14.0,23,True,2021-03-25 19:46:28.000000,3.1.1,15.0,pytextrank,,,,,185.0,173.0,https://pypi.org/project/pytextrank,2021-03-25 19:46:28.000000,12.0,16911.0,16911.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n448,AmpliGraph,Accenture/AmpliGraph,,graph,https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05.000000,2021-05-25 16:56:00.000000,2021-05-25 16:49:48.000000,171,24.0,181.0,1551.0,947.0,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,19.0,23,True,2021-05-25 16:57:42.000000,1.4.0,12.0,ampligraph,,,,['tensorflow'],15.0,15.0,https://pypi.org/project/ampligraph,2021-05-25 16:47:29.000000,,1655.0,1655.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n449,TensorFlow Privacy,tensorflow/privacy,,privacy-ml,https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000000,2021-07-14 18:55:00.000000,2021-07-13 23:14:15.000000,315,59.0,81.0,1448.0,491.0,Library for training machine learning models with privacy for training data.,40.0,23,True,2021-07-14 18:55:00.000000,0.6.2,13.0,tensorflow-privacy,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow-privacy,2021-07-14 18:52:43.000000,2.0,19430.0,19432.0,,,,,,,,2.0,46.0,,,,,,,,,,,,,,,,,,,,\n450,checklist,marcotcr/checklist,,interpretability,https://github.com/marcotcr/checklist,https://github.com/marcotcr/checklist,MIT,2020-03-09 17:18:49.000000,2021-07-07 17:20:39.000000,2021-07-07 17:20:31.000000,129,8.0,70.0,1419.0,229.0,Beyond Accuracy: Behavioral Testing of NLP models with CheckList.,10.0,23,True,2021-05-24 16:45:59.000000,0.0.11,10.0,checklist,,,,['jupyter'],15.0,13.0,https://pypi.org/project/checklist,2021-05-24 16:45:59.000000,2.0,14641.0,14641.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n451,pygraphistry,graphistry/pygraphistry,,graph,https://github.com/graphistry/pygraphistry,https://github.com/graphistry/pygraphistry,BSD-3-Clause,2015-06-02 20:28:42.000000,2021-07-14 09:08:06.000000,2021-07-14 09:04:01.000000,130,54.0,99.0,1407.0,769.0,\"PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated..\",15.0,23,True,2021-07-14 09:08:06.000000,0.19.2,116.0,graphistry,,,,['jupyter'],50.0,46.0,https://pypi.org/project/graphistry,2021-07-14 09:08:06.000000,4.0,1286.0,1286.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n452,pandas-ta,twopirllc/pandas-ta,,probabilistics,https://github.com/twopirllc/pandas-ta,https://github.com/twopirllc/pandas-ta,MIT,2019-02-19 16:41:09.000000,2021-07-11 22:53:57.000000,2021-07-02 16:58:50.000000,344,28.0,202.0,1400.0,,Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators.,39.0,23,True,2021-07-02 16:47:05.000000,0.3.02,18.0,pandas-ta,,,,['pandas'],171.0,171.0,https://pypi.org/project/pandas-ta,2021-07-02 16:54:49.000000,0.0,20920.0,20920.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n453,mljar-supervised,mljar/mljar-supervised,,hyperopt,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000000,2021-06-23 18:01:36.000000,2021-06-23 18:01:36.000000,181,53.0,342.0,1389.0,928.0,Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning.,9.0,23,True,2021-06-08 20:39:40.000000,0.10.6,73.0,mljar-supervised,,,,,14.0,14.0,https://pypi.org/project/mljar-supervised,2021-06-08 20:39:40.000000,,7996.0,7996.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n454,Torchmeta,tristandeleu/pytorch-meta,,pytorch-utils,https://github.com/tristandeleu/pytorch-meta,https://github.com/tristandeleu/pytorch-meta,MIT,2018-12-04 23:36:45.000000,2021-04-13 10:29:29.000000,2021-03-19 14:47:19.000000,160,34.0,77.0,1385.0,342.0,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.,10.0,23,True,2021-03-19 14:49:53.000000,1.7.0,27.0,torchmeta,,,,['pytorch'],51.0,51.0,https://pypi.org/project/torchmeta,2021-03-19 14:49:53.000000,,1341.0,1341.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n455,Torch Points 3D,nicolas-chaulet/torch-points3d,,image,https://github.com/nicolas-chaulet/torch-points3d,https://github.com/nicolas-chaulet/torch-points3d,BSD-3-Clause,2019-12-06 11:33:34.000000,2021-07-10 17:09:21.000000,2021-06-23 10:02:16.000000,214,71.0,191.0,1358.0,1703.0,Pytorch framework for doing deep learning on point clouds.,26.0,23,True,2021-04-30 09:00:22.000000,1.3.0,14.0,torch-points3d,,,,['pytorch'],3.0,3.0,https://pypi.org/project/torch-points3d,2021-04-30 09:00:22.000000,,651.0,651.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n456,EfficientNets,rwightman/gen-efficientnet-pytorch,,pytorch-utils,https://github.com/rwightman/gen-efficientnet-pytorch,https://github.com/rwightman/gen-efficientnet-pytorch,Apache-2.0,2019-05-11 19:35:56.000000,2021-07-08 19:05:05.000000,2021-07-08 19:03:55.000000,185,,48.0,1355.0,108.0,\"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.\",5.0,23,True,2021-07-08 19:05:05.000000,1.0.2,10.0,geffnet,,,,['pytorch'],61.0,61.0,https://pypi.org/project/geffnet,2021-07-08 19:05:05.000000,0.0,5594.0,5594.0,,,,,,,,2.0,,,,,,,,2.0,,,,,,,,,,,,,\n457,fklearn,nubank/fklearn,,ml-frameworks,https://github.com/nubank/fklearn,https://github.com/nubank/fklearn,Apache-2.0,2019-02-27 14:32:57.000000,2021-04-28 13:19:12.000000,2021-04-28 13:19:08.000000,149,19.0,20.0,1327.0,118.0,fklearn: Functional Machine Learning.,37.0,23,True,2021-02-09 17:12:04.000000,1.22.0,20.0,fklearn,,,,,10.0,10.0,https://pypi.org/project/fklearn,2021-02-09 17:12:04.000000,,9198.0,9198.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n458,Karate Club,benedekrozemberczki/karateclub,,graph,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56.000000,2021-07-02 21:39:21.000000,2021-07-02 21:39:17.000000,153,,57.0,1324.0,2145.0,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,12.0,23,False,2021-07-02 18:00:48.000000,_10200,99.0,karateclub,,,,,49.0,49.0,https://pypi.org/project/karateclub,2021-07-02 17:59:56.000000,0.0,6911.0,6911.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n459,modAL,modAL-python/modAL,,others,https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000000,2021-07-08 08:41:29.000000,2021-01-07 09:40:40.000000,206,56.0,51.0,1315.0,648.0,A modular active learning framework for Python.,14.0,23,True,2021-01-07 09:47:49.000000,0.4.1,12.0,modAL,,,,['sklearn'],95.0,87.0,https://pypi.org/project/modAL,2021-01-07 09:47:49.000000,8.0,3133.0,3133.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,,,\n460,FARM,deepset-ai/FARM,,nlp,https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12.000000,2021-07-13 22:46:31.000000,2021-07-13 15:35:11.000000,186,38.0,361.0,1266.0,584.0,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,35.0,23,True,2021-06-10 09:45:12.000000,0.8.0,24.0,farm,,,,['pytorch'],2.0,,https://pypi.org/project/farm,2021-06-10 09:41:53.000000,2.0,8997.0,8997.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n461,FinTA,peerchemist/finta,,financial-data,https://github.com/peerchemist/finta,https://github.com/peerchemist/finta,LGPL-3.0,2016-09-01 21:02:46.000000,2021-07-03 10:36:29.000000,2021-07-03 10:36:29.000000,388,13.0,63.0,1158.0,386.0,Common financial technical indicators implemented in Pandas.,25.0,23,False,2021-04-03 08:51:49.000000,1.3,19.0,finta,,,,,91.0,87.0,https://pypi.org/project/finta,2020-10-21 11:39:44.000000,4.0,6764.0,6764.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n462,metric-learn,scikit-learn-contrib/metric-learn,,others,https://github.com/scikit-learn-contrib/metric-learn,https://github.com/scikit-learn-contrib/metric-learn,MIT,2013-11-02 08:29:47.000000,2021-05-23 21:08:50.000000,2021-04-26 08:27:27.000000,216,52.0,110.0,1147.0,266.0,Metric learning algorithms in Python.,19.0,23,True,2020-07-02 12:59:23.000000,0.6.2,10.0,metric-learn,,,,['sklearn'],176.0,158.0,https://pypi.org/project/metric-learn,2020-07-02 12:59:23.000000,18.0,6395.0,6395.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n463,tensorly,tensorly/tensorly,,others,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52.000000,2021-07-14 14:25:52.000000,2021-07-14 14:25:52.000000,209,34.0,114.0,1057.0,,TensorLy: Tensor Learning in Python.,46.0,23,True,2021-04-15 15:01:47.000000,0.5.1,17.0,tensorly,conda-forge/tensorly,,,,179.0,159.0,https://pypi.org/project/tensorly,2021-04-14 11:18:01.000000,20.0,4645.0,8609.0,https://anaconda.org/conda-forge/tensorly,2020-12-07 22:44:30.386000,150632.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n464,Alibi,SeldonIO/alibi,,interpretability,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Apache-2.0,2019-02-26 10:10:56.000000,2021-07-14 11:21:05.000000,2021-07-14 11:21:05.000000,138,102.0,124.0,1054.0,282.0,Algorithms for explaining machine learning models.,14.0,23,True,2021-07-08 14:26:57.000000,0.6.0,19.0,alibi,,,,,112.0,94.0,https://pypi.org/project/alibi,2021-07-08 14:25:46.000000,18.0,13661.0,13661.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n465,ogb,snap-stanford/ogb,,graph,https://github.com/snap-stanford/ogb,https://github.com/snap-stanford/ogb,MIT,2019-11-22 22:13:57.000000,2021-06-28 09:35:04.000000,2021-06-22 03:31:02.000000,207,,151.0,1001.0,532.0,\"Benchmark datasets, data loaders, and evaluators for graph machine learning.\",15.0,23,True,2021-04-07 08:44:37.000000,1.3.1,14.0,ogb,,,,,131.0,131.0,https://pypi.org/project/ogb,2021-04-07 08:44:37.000000,0.0,6458.0,6458.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n466,SciSpacy,allenai/scispacy,,nlp,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52.000000,2021-07-14 19:49:17.000000,2021-06-22 20:02:00.000000,135,28.0,174.0,956.0,,A full spaCy pipeline and models for scientific/biomedical documents.,21.0,23,True,2021-02-12 22:56:06.000000,0.4.0,10.0,scispacy,,,,,308.0,296.0,https://pypi.org/project/scispacy,2021-02-12 22:56:06.000000,12.0,30244.0,30244.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n467,keract,philipperemy/keract,,interpretability,https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57.000000,2021-06-21 18:32:46.000000,2021-06-21 10:36:02.000000,180,1.0,81.0,898.0,375.0,Layers Outputs and Gradients in Keras. Made easy.,16.0,23,True,2021-06-19 16:14:57.000000,4.5.0,38.0,keract,,,,['tensorflow'],97.0,92.0,https://pypi.org/project/keract,2021-06-19 16:14:15.000000,5.0,1315.0,1315.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n468,minisom,JustGlowing/minisom,,others,https://github.com/JustGlowing/minisom,https://github.com/JustGlowing/minisom,CC-BY-3.0,2013-07-03 10:10:06.000000,2021-07-07 09:10:42.000000,2021-07-07 09:10:31.000000,283,6.0,72.0,874.0,458.0,MiniSom is a minimalistic implementation of the Self Organizing Maps.,23.0,23,False,2021-04-24 17:22:39.000000,2.2.9,1.0,minisom,,,,,187.0,179.0,https://pypi.org/project/minisom,2021-04-24 17:21:29.000000,8.0,10670.0,10670.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n469,arq,samuelcolvin/arq,,data-pipelines,https://github.com/samuelcolvin/arq,https://github.com/samuelcolvin/arq,MIT,2016-07-21 18:24:42.000000,2021-07-06 11:24:00.000000,2021-07-06 11:20:03.000000,71,25.0,83.0,855.0,309.0,Fast job queuing and RPC in python with asyncio and redis.,28.0,23,True,2021-07-06 11:22:17.000000,0.21,53.0,arq,,,,,72.0,64.0,https://pypi.org/project/arq,2021-07-06 11:24:00.000000,8.0,15380.0,15380.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n470,Opacus,pytorch/opacus,,privacy-ml,https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000000,2021-07-12 13:00:02.000000,2021-06-28 15:01:41.000000,128,14.0,71.0,847.0,263.0,Training PyTorch models with differential privacy.,30.0,23,True,2021-06-23 16:51:56.000000,0.14.0,9.0,opacus,,,,['pytorch'],42.0,42.0,https://pypi.org/project/opacus,2021-06-23 16:51:56.000000,0.0,10354.0,10356.0,,,,,,,,2.0,40.0,,,,,,,,,,,,,,,,,,,,\n471,scikit-cuda,lebedov/scikit-cuda,,gpu-utilities,https://github.com/lebedov/scikit-cuda,https://github.com/lebedov/scikit-cuda,BSD-3-Clause,2010-09-27 02:02:07.000000,2021-07-13 12:58:06.000000,2021-07-13 12:58:06.000000,163,45.0,165.0,842.0,1032.0,Python interface to GPU-powered libraries.,45.0,23,True,2019-05-27 00:29:00.000000,0.5.3,7.0,scikit-cuda,,,,,204.0,134.0,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00.000000,70.0,729.0,729.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n472,Neural Structured Learning,tensorflow/neural-structured-learning,,tensorflow-utils,https://github.com/tensorflow/neural-structured-learning,https://github.com/tensorflow/neural-structured-learning,Apache-2.0,2019-08-27 21:48:16.000000,2021-06-22 04:14:23.000000,2021-06-22 04:14:19.000000,148,6.0,47.0,837.0,446.0,Training neural models with structured signals.,27.0,23,True,2020-08-18 00:35:35.000000,1.3.1,7.0,neural-structured-learning,,,,['tensorflow'],91.0,91.0,https://pypi.org/project/neural-structured-learning,2020-08-18 00:35:35.000000,0.0,8324.0,8324.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n473,stockstats,jealous/stockstats,,financial-data,https://github.com/jealous/stockstats,https://github.com/jealous/stockstats,BSD-3-Clause,2016-06-05 15:21:22.000000,2021-06-08 19:58:40.000000,2020-10-17 10:59:35.000000,222,33.0,32.0,813.0,23.0,Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.,7.0,23,True,2020-10-17 11:10:43.000000,0.3.2,14.0,stockstats,,,,,332.0,284.0,https://pypi.org/project/stockstats,2020-10-17 11:10:43.000000,48.0,32736.0,32736.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n474,arch,bashtage/arch,,financial-data,https://github.com/bashtage/arch,https://github.com/bashtage/arch,NCSA,2014-08-29 15:41:28.000000,2021-07-12 07:39:14.000000,2021-07-12 07:34:54.000000,169,13.0,140.0,754.0,,ARCH models in Python.,26.0,23,False,2021-03-16 08:28:41.000000,4.19,32.0,arch,,,,,385.0,343.0,https://pypi.org/project/arch,2021-03-16 08:30:20.000000,42.0,99719.0,99719.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n475,GPUtil,anderskm/gputil,,gpu-utilities,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43.000000,2020-10-01 05:42:49.000000,2019-08-16 09:00:15.000000,84,11.0,14.0,745.0,140.0,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,13.0,23,False,2018-12-18 09:12:13.000000,1.4.0,8.0,gputil,,,,,1400.0,1298.0,https://pypi.org/project/gputil,2018-12-18 09:12:13.000000,102.0,125651.0,125651.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n476,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,,data-viz,https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14.000000,2021-05-10 08:15:20.000000,2021-05-10 08:14:09.000000,84,22.0,62.0,701.0,289.0,Bokeh Plotting Backend for Pandas and GeoPandas.,12.0,23,True,2021-04-11 17:43:13.000000,0.5.5,16.0,pandas-bokeh,,,,['pandas'],209.0,199.0,https://pypi.org/project/pandas-bokeh,2021-04-11 17:43:13.000000,10.0,7108.0,7108.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n477,NeuPy,itdxer/neupy,,ml-frameworks,https://github.com/itdxer/neupy,https://github.com/itdxer/neupy,MIT,2015-08-24 19:45:11.000000,2021-06-08 20:04:22.000000,2019-09-02 19:02:38.000000,149,27.0,234.0,688.0,1145.0,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,6.0,23,False,2019-04-04 19:44:59.000000,0.8.2,34.0,neupy,,,,,124.0,113.0,https://pypi.org/project/neupy,2019-04-04 19:43:06.000000,11.0,2109.0,2109.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n478,scikit-multilearn,scikit-multilearn/scikit-multilearn,,sklearn-utils,https://github.com/scikit-multilearn/scikit-multilearn,https://github.com/scikit-multilearn/scikit-multilearn,BSD-2-Clause,2014-04-30 13:05:44.000000,2020-06-30 10:19:46.000000,2019-05-21 11:29:06.000000,122,66.0,92.0,667.0,487.0,A scikit-learn based module for multi-label et. al. classification.,15.0,23,False,2018-12-10 16:24:47.000000,0.2.0,6.0,scikit-multilearn,,,,['sklearn'],510.0,488.0,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47.000000,22.0,104465.0,104465.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n479,Sentinelsat,sentinelsat/sentinelsat,,geospatial-data,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26.000000,2021-07-05 08:10:48.000000,2021-07-05 08:10:48.000000,183,14.0,276.0,636.0,,Search and download Copernicus Sentinel satellite images.,41.0,23,False,2021-05-25 11:28:50.000000,1.0.1,38.0,sentinelsat,,,,,250.0,206.0,https://pypi.org/project/sentinelsat,2021-05-25 11:28:50.000000,44.0,15815.0,15818.0,,,,,,,,3.0,222.0,,,,,,,,,,,,,,,,,,,,\n480,vega,vega/ipyvega,,data-viz,https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000000,2021-07-12 15:59:19.000000,2021-07-02 11:08:37.000000,45,10.0,80.0,309.0,518.0,IPython/Jupyter notebook module for Vega and Vega-Lite.,10.0,23,True,2021-06-03 20:52:09.000000,3.5.0,38.0,vega,conda-forge/vega,,,['jupyter'],148.0,,https://pypi.org/project/vega,2021-06-03 20:52:09.000000,148.0,26276.0,33513.0,https://anaconda.org/conda-forge/vega,2021-06-03 23:34:43.187000,441471.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n481,NIPY,nipy/nipy,,medical-data,https://github.com/nipy/nipy,https://github.com/nipy/nipy,BSD-3-Clause,2010-05-02 10:00:33.000000,2021-06-20 21:19:21.000000,2021-03-29 16:56:48.000000,123,43.0,110.0,301.0,6427.0,Neuroimaging in Python FMRI analysis package.,63.0,23,True,2018-02-19 14:14:08.000000,0.4.2,6.0,nipy,conda-forge/nipy,,,,82.0,,https://pypi.org/project/nipy,2018-02-19 14:14:08.000000,82.0,1776.0,3523.0,https://anaconda.org/conda-forge/nipy,2020-05-04 19:38:04.112000,83870.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n482,py3nvml,fbcotter/py3nvml,,gpu-utilities,https://github.com/fbcotter/py3nvml,https://github.com/fbcotter/py3nvml,BSD-3-Clause,2016-11-21 01:07:37.000000,2021-07-07 09:10:57.000000,2021-07-07 09:10:57.000000,24,1.0,10.0,181.0,81.0,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,7.0,23,False,2020-04-06 16:02:10.000000,0.2.6,13.0,py3nvml,conda-forge/py3nvml,,,,316.0,296.0,https://pypi.org/project/py3nvml,2020-04-06 16:02:10.000000,20.0,125804.0,126900.0,https://anaconda.org/conda-forge/py3nvml,2020-10-10 10:41:08.987000,19740.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n483,PyStan,stan-dev/pystan,,probabilistics,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,ISC,2017-03-06 19:56:42.094000,2021-07-07 23:18:10.000000,2021-06-03 10:18:34.000000,21,12.0,135.0,100.0,,\"PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io.\",8.0,23,False,2021-06-03 10:17:59.000000,3.2.0,64.0,pystan,conda-forge/pystan,,,,342.0,,https://pypi.org/project/pystan,2021-06-03 10:17:59.000000,342.0,1399778.0,1421057.0,https://anaconda.org/conda-forge/pystan,2021-05-12 13:39:30.313000,1106509.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n484,mmdnn,Microsoft/MMdnn,,model-serialisation,https://github.com/microsoft/MMdnn,https://github.com/microsoft/MMdnn,MIT,2017-08-16 08:03:52.000000,2021-03-01 14:17:24.000000,2020-08-14 02:32:30.000000,944,316.0,287.0,5386.0,1083.0,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,85.0,22,True,2020-07-24 06:34:39.000000,0.3.1,12.0,mmdnn,,,,,66.0,63.0,https://pypi.org/project/mmdnn,2020-07-24 06:34:39.000000,3.0,837.0,914.0,,,,,,,,2.0,3420.0,,,,,,,,,,,,,,,,,,,,\n485,english-words,dwyl/english-words,,nlp,https://github.com/dwyl/english-words,https://github.com/dwyl/english-words,Unlicense,2014-07-13 22:20:45.000000,2021-07-03 12:27:25.000000,2020-10-15 08:03:00.000000,1141,43.0,26.0,5347.0,83.0,A text file containing 479k English words for all your dictionary/word-based projects e.g: auto-completion /..,25.0,22,True,2018-08-21 00:29:28.000000,1.0.3,4.0,english-words,,,,,2.0,,https://pypi.org/project/english-words,2018-08-21 00:29:28.000000,2.0,14899.0,14899.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n486,Image Deduplicator,idealo/imagededup,,image,https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54.000000,2021-03-16 10:25:33.000000,2020-11-23 17:40:40.000000,306,20.0,57.0,3676.0,460.0,Finding duplicate images made easy!.,9.0,22,True,2020-11-23 17:55:24.000000,0.2.4,9.0,imagededup,,,,['tensorflow'],17.0,15.0,https://pypi.org/project/imagededup,2020-11-22 21:09:36.000000,2.0,13144.0,13144.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n487,T5,google-research/text-to-text-transfer-transformer,,nlp,https://github.com/google-research/text-to-text-transfer-transformer,https://github.com/google-research/text-to-text-transfer-transformer,Apache-2.0,2019-10-17 21:45:14.000000,2021-06-30 17:32:10.000000,2021-06-30 17:32:07.000000,469,52.0,320.0,3492.0,,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,38.0,22,True,2021-03-03 15:19:14.000000,0.9.0,26.0,t5,,,,['tensorflow'],42.0,42.0,https://pypi.org/project/t5,2021-03-03 15:19:14.000000,0.0,6568.0,6568.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n488,AdaNet,tensorflow/adanet,,hyperopt,https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24.000000,2020-07-09 21:03:28.000000,2020-07-09 20:51:04.000000,513,65.0,47.0,3290.0,439.0,Fast and flexible AutoML with learning guarantees.,26.0,22,True,2020-07-09 21:03:28.000000,0.9.0,13.0,adanet,,,,['tensorflow'],41.0,39.0,https://pypi.org/project/adanet,2020-07-09 21:03:28.000000,2.0,1196.0,1196.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n489,TensorWatch,microsoft/tensorwatch,,ml-experiments,https://github.com/microsoft/tensorwatch,https://github.com/microsoft/tensorwatch,MIT,2019-05-15 08:29:34.000000,2021-04-13 09:44:02.000000,2021-01-15 19:46:05.000000,331,50.0,15.0,3136.0,112.0,\"Debugging, monitoring and visualization for Python Machine Learning and Data Science.\",13.0,22,True,2020-03-04 07:26:22.000000,0.9.1,14.0,tensorwatch,,,,,58.0,52.0,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22.000000,6.0,26716.0,26716.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n490,SHOGUN,shogun-toolbox/shogun,,ml-frameworks,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32.000000,2021-03-05 12:19:13.000000,2020-12-08 16:56:38.000000,1049,462.0,1084.0,2830.0,16205.0,Unified and efficient Machine Learning.,248.0,22,True,2019-07-05 10:23:31.000000,shogun_6.1.4,10.0,,conda-forge/shogun,shogun/shogun,,,,,,,,,2167.0,https://anaconda.org/conda-forge/shogun,2018-06-25 20:49:17.070000,103518.0,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1462.0,3.0,,,,,,,,,,shogun,,,,,,,,,,,\n491,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,,graph,https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16.000000,2021-07-07 20:28:21.000000,2021-07-07 20:28:16.000000,376,41.0,114.0,2830.0,149.0,Generate embeddings from large-scale graph-structured data.,22.0,22,True,2019-10-14 16:45:11.000000,1.0.0,3.0,torchbiggraph,,,,['pytorch'],4.0,,https://pypi.org/project/torchbiggraph,2019-05-01 21:31:13.000000,4.0,1137.0,1141.0,,,,,,,,2.0,118.0,,,,,,,,,,,,,,,,,,,,\n492,gpt-2-simple,minimaxir/gpt-2-simple,,nlp,https://github.com/minimaxir/gpt-2-simple,https://github.com/minimaxir/gpt-2-simple,MIT,2019-04-13 20:00:52.000000,2021-06-17 00:27:42.000000,2021-02-14 19:39:38.000000,552,144.0,93.0,2719.0,133.0,Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts.,17.0,22,True,2021-02-14 21:13:20.000000,0.7.2,16.0,gpt-2-simple,,,,['tensorflow'],6.0,,https://pypi.org/project/gpt-2-simple,2021-02-14 20:20:24.000000,6.0,10537.0,10546.0,,,,,,,,3.0,247.0,,,,,,,,,,,,,,,,,,,,\n493,speechbrain,speechbrain/speechbrain,,audio,https://github.com/speechbrain/speechbrain,https://github.com/speechbrain/speechbrain,Apache-2.0,2020-04-28 17:48:45.000000,2021-07-15 03:58:15.000000,2021-07-14 14:00:47.000000,384,46.0,275.0,2594.0,,A PyTorch-based Speech Toolkit.,109.0,22,True,2021-06-17 01:25:19.000000,0.5.9,8.0,speechbrain,,,,['pytorch'],28.0,28.0,https://pypi.org/project/speechbrain,2021-06-17 01:26:07.000000,,2765.0,2765.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n494,Hummingbird,microsoft/hummingbird,,model-serialisation,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000000,2021-07-14 22:17:09.000000,2021-07-14 21:58:36.000000,189,48.0,166.0,2503.0,,Hummingbird compiles trained ML models into tensor computation for faster inference.,23.0,22,True,2021-06-22 21:28:04.000000,0.4.0,13.0,hummingbird-ml,,,,,18.0,18.0,https://pypi.org/project/hummingbird-ml,2021-06-22 21:26:04.000000,,3208.0,3218.0,,,,,,,,2.0,140.0,,,,,,,,,,,,,,,,,,,,\n495,Porcupine,Picovoice/Porcupine,,audio,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000000,2021-07-13 20:59:56.000000,2021-07-13 20:59:56.000000,364,10.0,312.0,2492.0,507.0,On-device wake word detection powered by deep learning.,27.0,22,True,2021-04-14 16:39:57.000000,1.9.5,19.0,pvporcupine,,,,,5.0,5.0,https://pypi.org/project/pvporcupine,2021-04-14 16:39:57.000000,0.0,743.0,743.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n496,tensorflow-graphics,tensorflow/graphics,,image,https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44.000000,2021-07-14 10:31:11.000000,2021-07-14 10:31:02.000000,297,117.0,85.0,2482.0,698.0,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,33.0,22,True,2020-05-20 19:56:41.000000,2020.5.20,21.0,tensorflow-graphics,,,,['tensorflow'],5.0,2.0,https://pypi.org/project/tensorflow-graphics,2020-05-20 19:56:41.000000,3.0,4939.0,4939.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n497,Luminoth,tryolabs/luminoth,,image,https://github.com/tryolabs/luminoth,https://github.com/tryolabs/luminoth,BSD-3-Clause,2017-02-16 15:07:46.000000,2021-05-21 16:21:18.000000,2020-01-07 20:53:25.000000,403,51.0,127.0,2378.0,838.0,Deep Learning toolkit for Computer Vision.,15.0,22,False,2018-11-09 21:35:17.000000,0.2.3,10.0,luminoth,,,,['tensorflow'],33.0,31.0,https://pypi.org/project/luminoth,2018-11-09 21:35:17.000000,2.0,1313.0,1569.0,,,,,,,,3.0,11557.0,,,,,,,,,,,,,,,,,,,,\n498,MMLSpark,Azure/mmlspark,,distributed-ml,https://github.com/Azure/mmlspark,https://github.com/Azure/mmlspark,MIT,2017-06-05 08:23:44.000000,2021-07-14 21:53:49.000000,2021-07-14 17:16:19.000000,540,212.0,243.0,2376.0,896.0,Microsoft Machine Learning for Apache Spark.,68.0,22,True,2020-10-02 19:36:01.000000,1.0.0-rc3,17.0,mmlspark,,,,['spark'],,,https://pypi.org/project/mmlspark,2020-03-18 01:27:31.000000,,28607.0,28607.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n499,FinRL,AI4Finance-LLC/FinRL,,reinforcement-learning,https://github.com/AI4Finance-LLC/FinRL,https://github.com/AI4Finance-LLC/FinRL,MIT,2020-07-26 13:18:16.000000,2021-07-08 15:02:06.000000,2021-07-06 18:19:04.000000,592,59.0,100.0,2294.0,719.0,A Deep Reinforcement Learning Library for Automated Trading in Quantitative Finance. NeurIPS 2020.,27.0,22,True,2021-02-28 17:05:19.000000,0.3.0,4.0,finrl,,,,,7.0,7.0,https://pypi.org/project/finrl,2021-02-28 17:05:19.000000,,211.0,211.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n500,layout-parser,Layout-Parser/layout-parser,,image,https://github.com/Layout-Parser/layout-parser,https://github.com/Layout-Parser/layout-parser,Apache-2.0,2020-06-10 20:22:54.000000,2021-06-16 06:05:10.000000,2021-04-26 03:50:16.000000,177,21.0,16.0,2249.0,142.0,A unified toolkit for Deep Learning Based Document Image Analysis.,4.0,22,True,2021-04-12 20:00:00.000000,0.2.0,6.0,layoutparser,,,,,11.0,11.0,https://pypi.org/project/layoutparser,2021-04-12 20:00:00.000000,,1978.0,1978.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n501,Texar,asyml/texar,,nlp,https://github.com/asyml/texar,https://github.com/asyml/texar,Apache-2.0,2017-07-22 19:02:05.000000,2020-09-17 07:03:55.000000,2020-07-29 00:38:30.000000,356,33.0,126.0,2179.0,1719.0,\"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the..\",41.0,22,True,2019-11-19 04:11:18.000000,0.2.4,6.0,texar,,,,['tensorflow'],17.0,15.0,https://pypi.org/project/texar,2019-11-19 04:11:18.000000,2.0,162.0,162.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n502,Mars,mars-project/mars,,others,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03.000000,2021-07-15 12:38:42.000000,2021-07-15 01:47:18.000000,260,122.0,712.0,2167.0,840.0,\"Mars is a tensor-based unified framework for large-scale data computation which scales Numpy, pandas, Scikit-learn and..\",21.0,22,True,2021-07-09 14:16:14.000000,0.6.11,87.0,pymars,,,,,0.0,,https://pypi.org/project/pymars,2021-07-09 14:16:14.000000,0.0,2156.0,2156.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n503,DDSP,magenta/ddsp,,audio,https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27.000000,2021-07-08 18:38:23.000000,2021-07-08 18:38:13.000000,193,19.0,97.0,1900.0,,DDSP: Differentiable Digital Signal Processing.,27.0,22,True,2021-06-03 20:56:31.000000,1.4.0,34.0,ddsp,,,,['tensorflow'],13.0,13.0,https://pypi.org/project/ddsp,2021-07-07 22:19:57.000000,,1650.0,1650.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n504,STUMPY,TDAmeritrade/stumpy,,time-series-data,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000000,2021-07-14 14:59:42.000000,2021-07-14 14:59:09.000000,178,27.0,221.0,1844.0,,\"STUMPY is a powerful and scalable Python library for computing a Matrix Profile, which can be used for a variety of..\",23.0,22,True,2021-02-04 19:05:43.000000,1.8.0,19.0,stumpy,conda-forge/stumpy,,,,0.0,,https://pypi.org/project/stumpy,2021-02-04 19:05:43.000000,0.0,65678.0,66625.0,https://anaconda.org/conda-forge/stumpy,2021-02-05 23:28:08.904000,24644.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n505,vidgear,abhiTronix/vidgear,,image,https://github.com/abhiTronix/vidgear,https://github.com/abhiTronix/vidgear,Apache-2.0,2019-03-17 02:42:42.000000,2021-07-15 10:16:18.000000,2021-04-25 17:12:04.000000,133,4.0,155.0,1833.0,649.0,High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features.,6.0,22,True,2021-04-25 18:49:14.000000,idgear-0.2.1,13.0,vidgear,,,,,118.0,116.0,https://pypi.org/project/vidgear,2021-01-01 07:57:09.000000,2.0,2500.0,2513.0,,,,,,,,3.0,384.0,,,,,,,,,,,,,,,,,,,,\n506,m2cgen,BayesWitnesses/m2cgen,,model-serialisation,https://github.com/BayesWitnesses/m2cgen,https://github.com/BayesWitnesses/m2cgen,MIT,2019-01-13 02:32:55.000000,2021-07-13 13:50:11.000000,2021-07-11 17:08:16.000000,153,36.0,45.0,1830.0,279.0,\"Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart,..\",12.0,22,True,2020-09-18 19:17:26.000000,0.9.0,12.0,m2cgen,,,,,6.0,6.0,https://pypi.org/project/m2cgen,2020-09-18 19:16:17.000000,,31974.0,31974.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n507,accelerate,huggingface/accelerate,,pytorch-utils,https://github.com/huggingface/accelerate,https://github.com/huggingface/accelerate,Apache-2.0,2020-10-30 13:27:12.000000,2021-07-08 11:21:26.000000,2021-07-08 11:21:25.000000,71,19.0,54.0,1587.0,,\"A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision.\",20.0,22,True,2021-04-29 15:45:04.000000,0.3.0,5.0,accelerate,,,,['pytorch'],82.0,82.0,https://pypi.org/project/accelerate,2021-04-29 15:44:34.000000,,13648.0,13648.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n508,lore,instacart/lore,,ml-experiments,https://github.com/instacart/lore,https://github.com/instacart/lore,MIT,2017-10-19 21:51:45.000000,2021-05-26 18:44:09.000000,2020-05-11 22:26:45.000000,119,16.0,18.0,1520.0,270.0,Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers.,22.0,22,False,2020-05-11 22:28:23.000000,0.8.4,231.0,lore,,,,,17.0,16.0,https://pypi.org/project/lore,2020-05-11 22:28:23.000000,1.0,1949.0,1949.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n509,Magnitude,plasticityai/magnitude,,nn-search,https://github.com/plasticityai/magnitude,https://github.com/plasticityai/magnitude,MIT,2018-02-24 07:28:16.000000,2021-02-23 18:10:43.000000,2020-07-17 20:19:46.000000,99,28.0,50.0,1458.0,350.0,\"A fast, efficient universal vector embedding utility package.\",4.0,22,True,2020-05-25 11:26:36.000000,0.1.143,128.0,pymagnitude,,,,,207.0,193.0,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36.000000,14.0,4991.0,4991.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n510,Talos,autonomio/talos,,hyperopt,https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41.000000,2021-05-27 09:49:51.000000,2021-05-27 09:49:50.000000,237,41.0,352.0,1422.0,559.0,\"Hyperparameter Optimization for TensorFlow, Keras and PyTorch.\",19.0,22,True,2020-11-09 16:48:30.000000,1.0,14.0,talos,,,,['tensorflow'],128.0,122.0,https://pypi.org/project/talos,2020-11-09 16:49:08.000000,6.0,2257.0,2257.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n511,anaGo,Hironsan/anago,,nlp,https://github.com/Hironsan/anago,https://github.com/Hironsan/anago,MIT,2017-06-26 21:28:36.000000,2021-06-01 21:53:57.000000,2021-04-01 12:34:50.000000,361,37.0,72.0,1415.0,298.0,\"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.\",11.0,22,True,2018-07-17 01:59:21.000000,1.0.8,14.0,anago,,,,['tensorflow'],31.0,26.0,https://pypi.org/project/anago,2018-07-17 01:59:21.000000,5.0,1255.0,1255.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n512,Classy Vision,facebookresearch/ClassyVision,,image,https://github.com/facebookresearch/ClassyVision,https://github.com/facebookresearch/ClassyVision,MIT,2019-09-13 22:54:44.000000,2021-07-10 15:34:41.000000,2021-07-10 15:34:34.000000,234,53.0,57.0,1309.0,377.0,An end-to-end PyTorch framework for image and video classification.,62.0,22,True,2021-07-09 22:58:06.000000,0.6.0,17.0,classy_vision,conda-forge/classy_vision,,,['pytorch'],0.0,,https://pypi.org/project/classy_vision,2021-07-09 22:58:06.000000,0.0,1302.0,1772.0,https://anaconda.org/conda-forge/classy_vision,2020-12-11 20:08:25.437000,8468.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n513,NiftyNet,NifTK/NiftyNet,,medical-data,https://github.com/NifTK/NiftyNet,https://github.com/NifTK/NiftyNet,Apache-2.0,2017-08-30 07:55:43.000000,2020-04-21 19:54:52.000000,2020-04-21 19:54:51.000000,385,102.0,224.0,1288.0,2848.0,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,58.0,22,False,2019-10-10 10:59:33.000000,0.6.0,11.0,niftynet,,,,['tensorflow'],36.0,35.0,https://pypi.org/project/niftynet,2019-10-10 10:59:33.000000,1.0,286.0,286.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n514,MLBox,AxeldeRomblay/MLBox,,hyperopt,https://github.com/AxeldeRomblay/MLBox,https://github.com/AxeldeRomblay/MLBox,BSD-1-Clause,2017-06-01 16:59:24.000000,2021-05-21 15:42:44.000000,2020-08-25 09:26:27.000000,254,15.0,74.0,1232.0,1121.0,MLBox is a powerful Automated Machine Learning python library.,9.0,22,False,2020-08-25 09:32:37.000000,0.8.5,21.0,mlbox,,,,,26.0,26.0,https://pypi.org/project/mlbox,2020-08-25 09:32:37.000000,,2815.0,2815.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n515,Pypeline,cgarciae/pypeln,,data-pipelines,https://github.com/cgarciae/pypeln,https://github.com/cgarciae/pypeln,MIT,2018-09-01 13:43:31.000000,2021-05-01 11:58:40.000000,2021-04-13 00:55:39.000000,71,14.0,37.0,1224.0,235.0,Concurrent data pipelines in Python .,10.0,22,True,2021-01-05 18:00:06.000000,0.4.7,34.0,pypeln,,,,,10.0,,https://pypi.org/project/pypeln,2021-01-05 18:00:06.000000,10.0,27324.0,27324.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n516,Darts,unit8co/darts,,time-series-data,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000000,2021-07-15 15:03:51.000000,2021-07-09 15:35:51.000000,135,22.0,85.0,1215.0,396.0,A python library for easy manipulation and forecasting of time series.,32.0,22,True,2021-07-09 16:07:28.000000,0.9.0,14.0,u8darts,,unit8/darts,,,6.0,6.0,https://pypi.org/project/u8darts,2021-07-09 16:07:28.000000,0.0,4346.0,4349.0,,,,https://hub.docker.com/r/unit8/darts,2021-05-22 11:13:37.525957,,129.0,2.0,,,,,,,,,,,,,,,,,,,,,\n517,Higher,facebookresearch/higher,,pytorch-utils,https://github.com/facebookresearch/higher,https://github.com/facebookresearch/higher,Apache-2.0,2019-09-06 18:58:36.000000,2021-06-21 15:17:40.000000,2021-06-21 15:17:40.000000,83,34.0,49.0,1183.0,30.0,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,9.0,22,True,2020-07-14 12:20:32.000000,0.2.1,2.0,higher,,,,['pytorch'],62.0,62.0,https://pypi.org/project/higher,2020-07-14 12:20:32.000000,0.0,30069.0,30069.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n518,TabNet,dreamquark-ai/tabnet,,pytorch-utils,https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000000,2021-06-24 08:47:54.000000,2021-05-27 09:32:27.000000,229,36.0,127.0,1134.0,168.0,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,18.0,22,True,2021-02-02 08:05:11.000000,3.1.1,17.0,pytorch-tabnet,,,,['pytorch'],0.0,,https://pypi.org/project/pytorch-tabnet,2021-02-02 08:05:11.000000,0.0,17043.0,17043.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n519,RecBole,RUCAIBox/RecBole,,recommender-systems,https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000000,2021-07-15 11:09:12.000000,2021-07-11 02:23:22.000000,174,45.0,106.0,1120.0,3028.0,\"A unified, comprehensive and efficient recommendation library.\",40.0,22,True,2021-04-06 09:53:37.000000,0.2.1,5.0,recbole,aibox/recbole,,,['pytorch'],,,https://pypi.org/project/recbole,2021-03-22 14:22:38.000000,,420.0,486.0,https://anaconda.org/aibox/recbole,2021-03-22 14:53:52.593000,530.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n520,Optimus,hi-primus/optimus,,data-pipelines,https://github.com/hi-primus/optimus,https://github.com/hi-primus/optimus,Apache-2.0,2017-07-13 02:31:18.000000,2021-07-15 10:46:39.000000,2021-07-14 23:37:39.000000,196,39.0,173.0,1035.0,3530.0,\"Agile Data Preparation Workflows madeeasy with Pandas, Dask, cuDF, Dask-cuDF and PySpark.\",24.0,22,True,2020-07-19 03:05:40.000000,2.2.32,85.0,optimuspyspark,,,,['spark'],,,https://pypi.org/project/optimuspyspark,2019-05-30 02:22:54.000000,,8410.0,8410.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n521,ChainerRL,chainer/chainerrl,,reinforcement-learning,https://github.com/chainer/chainerrl,https://github.com/chainer/chainerrl,MIT,2017-01-30 04:58:15.000000,2021-04-17 06:02:31.000000,2021-04-17 06:02:30.000000,207,75.0,147.0,968.0,3471.0,ChainerRL is a deep reinforcement learning library built on top of Chainer.,29.0,22,True,2020-02-14 05:35:56.000000,0.8.0,10.0,chainerrl,,,,,114.0,100.0,https://pypi.org/project/chainerrl,2020-02-14 05:35:56.000000,14.0,753.0,753.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n522,gplearn,trevorstephens/gplearn,,others,https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14.000000,2021-07-01 00:24:09.000000,2021-07-01 00:24:09.000000,166,37.0,124.0,968.0,147.0,\"Genetic Programming in Python, with a scikit-learn inspired API.\",10.0,22,True,2019-06-01 02:04:52.000000,0.4.1,5.0,gplearn,,,,['sklearn'],191.0,177.0,https://pypi.org/project/gplearn,2019-06-01 02:04:52.000000,14.0,1771.0,1771.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n523,Explainability 360,Trusted-AI/AIX360,,interpretability,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48.000000,2021-05-02 10:43:29.000000,2021-05-02 10:43:29.000000,177,28.0,23.0,878.0,307.0,Interpretability and explainability of data and machine learning models.,27.0,22,True,2020-10-28 09:32:21.000000,0.2.1,4.0,aix360,,,,,23.0,22.0,https://pypi.org/project/aix360,2020-10-28 09:18:17.000000,1.0,1119.0,1119.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n524,tf-explain,sicara/tf-explain,,interpretability,https://github.com/sicara/tf-explain,https://github.com/sicara/tf-explain,MIT,2019-07-15 08:26:24.000000,2021-06-22 10:19:30.000000,2021-06-22 10:19:30.000000,80,33.0,48.0,841.0,199.0,Interpretability Methods for tf.keras models with Tensorflow 2.x.,15.0,22,True,2021-02-16 18:59:38.000000,0.3.0,7.0,tf-explain,,,,['tensorflow'],86.0,84.0,https://pypi.org/project/tf-explain,2021-02-16 18:59:38.000000,2.0,1992.0,1992.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n525,lightning-flash,PyTorchLightning/lightning-flash,,pytorch-utils,https://github.com/PyTorchLightning/lightning-flash,https://github.com/PyTorchLightning/lightning-flash,Apache-2.0,2021-01-28 18:47:16.000000,2021-07-15 12:51:03.000000,2021-07-14 21:51:17.000000,79,115.0,109.0,824.0,495.0,\"Collection of tasks for fast prototyping, baselining, finetuning and solving problems with deep learning.\",36.0,22,True,2021-06-22 11:20:42.000000,0.4.0,22.0,lightning-flash,,,,['pytorch'],13.0,13.0,https://pypi.org/project/lightning-flash,2021-06-22 11:20:42.000000,0.0,1618.0,1618.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n526,Madmom,CPJKU/madmom,,audio,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06.000000,2021-05-06 10:13:17.000000,2019-12-19 14:46:37.000000,128,54.0,182.0,769.0,1722.0,Python audio and music signal processing library.,19.0,22,False,2018-11-14 14:57:41.000000,0.16.1,11.0,madmom,,,,,168.0,134.0,https://pypi.org/project/madmom,2018-11-14 14:56:22.000000,34.0,3712.0,3712.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n527,alibi-detect,SeldonIO/alibi-detect,,others,https://github.com/SeldonIO/alibi-detect,https://github.com/SeldonIO/alibi-detect,Apache-2.0,2019-10-07 13:29:13.000000,2021-07-15 11:05:58.000000,2021-07-14 16:56:55.000000,78,63.0,79.0,758.0,366.0,\"Algorithms for outlier, adversarial and drift detection.\",8.0,22,True,2021-06-07 11:23:29.000000,0.7.0,15.0,alibi-detect,,,,,30.0,29.0,https://pypi.org/project/alibi-detect,2021-06-07 11:21:33.000000,1.0,16084.0,16084.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n528,kapre,keunwoochoi/kapre,,audio,https://github.com/keunwoochoi/kapre,https://github.com/keunwoochoi/kapre,MIT,2016-12-14 18:36:36.000000,2021-03-25 21:02:49.000000,2021-03-25 21:02:44.000000,129,9.0,80.0,751.0,190.0,kapre: Keras Audio Preprocessors.,13.0,22,True,2021-03-18 22:14:02.000000,Kapre-0.3.5,21.0,kapre,,,,['tensorflow'],944.0,922.0,https://pypi.org/project/kapre,2020-09-29 18:49:13.000000,22.0,1837.0,1837.0,,,,,,,,3.0,13.0,,,,,,,,,,,,,,,,,,,,\n529,Node2Vec,eliorc/node2vec,,graph,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000000,2021-04-16 07:45:36.000000,2021-04-16 07:42:56.000000,175,3.0,63.0,739.0,56.0,Implementation of the node2vec algorithm.,8.0,22,True,2021-04-16 07:45:36.000000,0.4.3,14.0,node2vec,conda-forge/node2vec,,,,173.0,163.0,https://pypi.org/project/node2vec,2021-04-02 06:33:26.000000,10.0,11087.0,11566.0,https://anaconda.org/conda-forge/node2vec,2020-04-25 22:41:13.714000,18226.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n530,gmaps,pbugnion/gmaps,,geospatial-data,https://github.com/pbugnion/gmaps,https://github.com/pbugnion/gmaps,BSD-3-Clause,2014-12-01 09:12:06.000000,2020-10-13 07:09:18.000000,2019-07-22 06:22:45.000000,143,66.0,136.0,716.0,1380.0,Google maps for Jupyter notebooks.,16.0,22,False,2019-07-21 08:49:48.715000,0.9.0,94.0,gmaps,conda-forge/gmaps,,,['jupyter'],75.0,1.0,https://pypi.org/project/gmaps,2019-07-21 08:49:39.000000,74.0,9818.0,16231.0,https://anaconda.org/conda-forge/gmaps,2019-08-02 11:56:50.940000,234578.0,,,,,3.0,,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715000,,1722.0,,,,,,,,,,,,,,\n531,torch-scatter,rusty1s/pytorch_scatter,,pytorch-utils,https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23.000000,2021-06-26 17:16:35.000000,2021-06-26 17:16:32.000000,79,71.0,130.0,704.0,910.0,PyTorch Extension Library of Optimized Scatter Operations.,15.0,22,True,2021-06-07 06:25:31.000000,2.0.7,27.0,torch-scatter,,,,['pytorch'],32.0,,https://pypi.org/project/torch-scatter,2021-06-07 06:25:31.000000,32.0,22875.0,22875.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n532,lets-plot,JetBrains/lets-plot,,data-viz,https://github.com/JetBrains/lets-plot,https://github.com/JetBrains/lets-plot,MIT,2019-03-20 16:13:03.000000,2021-07-15 14:09:26.000000,2021-07-14 23:28:26.000000,22,73.0,111.0,643.0,2017.0,An open-source plotting library for statistical data.,15.0,22,True,2021-06-09 19:56:57.000000,2.0.4,36.0,lets-plot,,,,,11.0,11.0,https://pypi.org/project/lets-plot,2021-06-09 19:24:41.000000,0.0,5305.0,5309.0,,,,,,,,3.0,84.0,,,,,,,,,,,,,,,,,,,,\n533,audiomentations,iver56/audiomentations,,audio,https://github.com/iver56/audiomentations,https://github.com/iver56/audiomentations,MIT,2019-02-12 16:36:24.000000,2021-07-03 21:04:32.000000,2021-07-03 21:04:31.000000,78,22.0,58.0,618.0,420.0,A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.,16.0,22,True,2021-06-25 11:15:10.000000,0.17.0,19.0,audiomentations,,,,,54.0,54.0,https://pypi.org/project/audiomentations,2021-06-25 11:15:10.000000,,2263.0,2263.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n534,TensorBoard Logger,TeamHG-Memex/tensorboard_logger,,ml-experiments,https://github.com/TeamHG-Memex/tensorboard_logger,https://github.com/TeamHG-Memex/tensorboard_logger,MIT,2016-10-27 14:02:25.000000,2021-06-09 17:35:49.000000,2019-10-21 07:52:07.000000,52,9.0,15.0,614.0,46.0,Log TensorBoard events without touching TensorFlow.,5.0,22,False,2018-02-08 07:28:51.000000,0.1.0,5.0,tensorboard_logger,,,,,96.0,,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51.000000,96.0,75218.0,75218.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n535,Guild AI,guildai/guildai,,ml-experiments,https://github.com/guildai/guildai,https://github.com/guildai/guildai,Apache-2.0,2017-09-27 18:57:50.000000,2021-07-09 22:51:54.000000,2021-07-09 22:51:54.000000,44,104.0,171.0,602.0,4534.0,\"Experiment tracking, ML developer tools.\",18.0,22,True,2021-03-25 22:43:31.000000,0.7.3,170.0,guildai,,,,,33.0,33.0,https://pypi.org/project/guildai,2021-04-12 20:27:53.000000,,3092.0,3092.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n536,Mapbox GL,mapbox/mapboxgl-jupyter,,geospatial-data,https://github.com/mapbox/mapboxgl-jupyter,https://github.com/mapbox/mapboxgl-jupyter,MIT,2017-08-08 15:10:51.000000,2021-05-31 23:04:25.000000,2021-04-19 05:00:36.000000,121,35.0,67.0,573.0,221.0,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,21.0,22,True,2019-06-03 21:24:10.000000,0.10.2,20.0,mapboxgl,,,,['jupyter'],129.0,111.0,https://pypi.org/project/mapboxgl,2019-06-02 15:18:57.000000,18.0,5231.0,5231.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n537,tinytag,devsnd/tinytag,,audio,https://github.com/devsnd/tinytag,https://github.com/devsnd/tinytag,MIT,2014-01-27 15:27:01.000000,2021-06-13 14:21:06.000000,2021-06-13 14:20:35.000000,82,16.0,66.0,470.0,322.0,\"Read music meta data and length of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA and Wave files with python 2 or 3.\",20.0,22,True,2020-11-05 12:44:52.000000,1.5.0,33.0,tinytag,,,,,478.0,382.0,https://pypi.org/project/tinytag,2020-11-05 12:44:52.000000,96.0,4869.0,4869.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n538,PyTorch Sparse,rusty1s/pytorch_sparse,,pytorch-utils,https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53.000000,2021-07-14 11:37:48.000000,2021-07-14 11:37:45.000000,55,53.0,70.0,433.0,600.0,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,16.0,22,True,2021-06-17 07:47:37.000000,0.6.10,22.0,torch-sparse,,,,['pytorch'],34.0,,https://pypi.org/project/torch-sparse,2021-06-17 07:47:37.000000,34.0,21599.0,21599.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n539,torch-cluster,rusty1s/pytorch_cluster,,graph,https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06.000000,2021-07-03 19:33:27.000000,2021-07-03 19:33:23.000000,74,40.0,45.0,390.0,544.0,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,18.0,22,True,2021-03-01 13:58:47.000000,1.5.9,39.0,torch-cluster,,,,['pytorch'],32.0,,https://pypi.org/project/torch-cluster,2021-03-01 12:28:43.000000,32.0,9495.0,9495.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n540,lazypredict,shankarpandala/lazypredict,,hyperopt,https://github.com/shankarpandala/lazypredict,https://github.com/shankarpandala/lazypredict,MIT,2019-11-16 09:56:35.000000,2021-07-13 17:13:10.000000,2021-07-13 17:13:10.000000,84,23.0,30.0,380.0,195.0,Lazy Predict help build a lot of basic models without much code and helps understand which models works better without..,14.0,22,True,2021-02-17 15:38:45.000000,0.2.9,11.0,lazypredict,,,,['sklearn'],105.0,105.0,https://pypi.org/project/lazypredict,2021-02-17 15:38:45.000000,,5089.0,5089.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n541,Studio.ml,studioml/studio,,ml-experiments,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28.000000,2021-07-13 01:11:28.000000,2021-07-13 00:58:21.000000,52,55.0,195.0,373.0,2397.0,Studio: Simplify and expedite model building process.,21.0,22,True,2021-05-30 21:35:06.000000,0.0.47,205.0,studioml,,,,,4.0,4.0,https://pypi.org/project/studioml,2021-07-13 01:11:28.000000,,2019.0,2019.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n542,GeoViews,holoviz/geoviews,,geospatial-data,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000000,2021-04-13 11:40:25.000000,2021-04-13 11:40:25.000000,64,81.0,180.0,351.0,656.0,\"Simple, concise geographical visualization in Python.\",23.0,22,True,2021-03-13 16:29:11.000000,1.9.1,26.0,geoviews,conda-forge/geoviews,,,,20.0,,https://pypi.org/project/geoviews,2021-03-13 16:29:11.000000,20.0,6543.0,8355.0,https://anaconda.org/conda-forge/geoviews,2021-03-14 15:19:05.550000,72512.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n543,pySBD,nipunsadvilkar/pySBD,,nlp,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20.000000,2021-04-25 08:42:15.000000,2021-02-11 16:40:18.000000,33,8.0,48.0,334.0,279.0,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,6.0,22,True,2021-02-11 16:42:37.000000,0.3.4,15.0,pysbd,,,,,189.0,185.0,https://pypi.org/project/pysbd,2021-02-11 16:36:33.000000,4.0,38486.0,38486.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n544,scikit-rebate,EpistasisLab/scikit-rebate,,others,https://github.com/EpistasisLab/scikit-rebate,https://github.com/EpistasisLab/scikit-rebate,MIT,2016-09-19 13:36:17.000000,2021-05-18 21:20:09.000000,2021-02-15 17:10:59.000000,59,13.0,19.0,325.0,283.0,\"A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for..\",13.0,22,True,2017-04-12 16:12:01.000000,0.3.4,13.0,skrebate,,,,['sklearn'],204.0,142.0,https://pypi.org/project/skrebate,2021-03-20 17:11:52.000000,62.0,3656.0,3656.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n545,pysparkling,svenkreiss/pysparkling,,data-pipelines,https://github.com/svenkreiss/pysparkling,https://github.com/svenkreiss/pysparkling,MIT,2015-05-09 19:23:20.000000,2021-03-05 14:35:43.000000,2021-02-22 17:29:11.000000,45,7.0,21.0,237.0,1527.0,A pure Python implementation of Apache Spark's RDD and DStream interfaces.,10.0,22,False,2021-01-10 21:15:26.000000,0.6.1,68.0,pysparkling,,,,,81.0,67.0,https://pypi.org/project/pysparkling,2021-01-10 21:15:26.000000,14.0,20253.0,20253.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n546,stop-words,Alir3z4/python-stop-words,,nlp,https://github.com/Alir3z4/python-stop-words,https://github.com/Alir3z4/python-stop-words,BSD-3-Clause,2014-05-26 06:44:03.000000,2019-10-16 15:01:43.000000,2018-07-23 21:04:09.000000,23,3.0,9.0,129.0,90.0,Get list of common stop words in various languages in Python.,8.0,22,False,2018-07-23 20:58:34.000000,2018.7.23,8.0,stop-words,,,,,1516.0,1258.0,https://pypi.org/project/stop-words,2018-07-23 20:55:55.000000,258.0,109876.0,109876.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n547,Recommenders,microsoft/recommenders,,recommender-systems,https://github.com/microsoft/recommenders,https://github.com/microsoft/recommenders,MIT,2018-09-19 10:06:07.000000,2021-07-14 17:18:48.000000,2021-06-17 16:41:09.000000,1813,145.0,457.0,10620.0,6334.0,Best Practices on Recommendation Systems.,96.0,21,True,2021-06-18 15:59:34.000000,0.6.0,8.0,,,,,,2.0,2.0,,,,,1.0,,,,,,,,3.0,39.0,,,,,,,,,,,,,,,,,,,,\n548,Dejavu,worldveil/dejavu,,audio,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35.000000,2020-10-29 17:40:17.000000,2020-06-03 05:58:03.000000,1250,84.0,129.0,5477.0,146.0,Audio fingerprinting and recognition in Python.,23.0,21,False,2015-04-19 21:20:16.000000,0.1.3,4.0,PyDejavu,,,,,21.0,18.0,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16.000000,3.0,151.0,151.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n549,Qlib,microsoft/qlib,,financial-data,https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000000,2021-07-15 13:41:31.000000,2021-07-15 11:13:25.000000,884,81.0,185.0,5282.0,,\"Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research,..\",51.0,21,True,2021-07-11 14:44:17.000000,0.7.0,17.0,pyqlib,,,,['pytorch'],4.0,4.0,https://pypi.org/project/pyqlib,2021-07-11 14:44:17.000000,,4468.0,4494.0,,,,,,,,3.0,265.0,,,,,,,,,,,,,,,,,,,,\n550,vit-pytorch,lucidrains/vit-pytorch,,image,https://github.com/lucidrains/vit-pytorch,https://github.com/lucidrains/vit-pytorch,MIT,2020-10-03 22:47:24.000000,2021-07-08 17:15:51.000000,2021-07-08 17:15:07.000000,648,51.0,65.0,5035.0,,\"Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single..\",10.0,21,True,2021-07-08 17:15:51.000000,0.20.1,85.0,vit-pytorch,,,,['pytorch'],24.0,24.0,https://pypi.org/project/vit-pytorch,2021-07-08 17:15:51.000000,,3683.0,3683.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n551,MMF,facebookresearch/mmf,,image,https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40.000000,2021-07-12 23:35:17.000000,2021-07-09 20:28:02.000000,711,159.0,397.0,4498.0,913.0,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,68.0,21,True,2019-08-26 19:04:21.000000,0.3.1,12.0,mmf,,,,['pytorch'],7.0,7.0,https://pypi.org/project/mmf,2020-06-12 22:15:02.000000,0.0,428.0,428.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n552,mace,XiaoMi/mace,,ml-frameworks,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12.000000,2021-07-15 09:24:22.000000,2021-07-15 09:19:18.000000,770,41.0,610.0,4423.0,3219.0,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,63.0,21,True,2021-03-18 10:07:32.000000,1.0.4,11.0,,,,,,,,,,,,38.0,,,,,,,,3.0,1361.0,,,,,,,,,,,,,,,,,,,,\n553,deep-daze,lucidrains/deep-daze,,image,https://github.com/lucidrains/deep-daze,https://github.com/lucidrains/deep-daze,MIT,2021-01-17 06:00:50.000000,2021-07-04 20:22:19.000000,2021-07-04 20:22:19.000000,235,52.0,64.0,3510.0,,Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation..,12.0,21,True,2021-04-08 01:08:57.000000,0.10.2,64.0,deep-daze,,,,,20.0,20.0,https://pypi.org/project/deep-daze,2021-04-07 18:15:40.000000,,4234.0,4234.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n554,TRFL,deepmind/trfl,,reinforcement-learning,https://github.com/deepmind/trfl,https://github.com/deepmind/trfl,Apache-2.0,2018-08-08 14:44:11.000000,2020-11-06 04:44:44.000000,2020-04-20 13:05:56.000000,372,6.0,16.0,3074.0,116.0,TensorFlow Reinforcement Learning.,12.0,21,False,2020-04-20 14:11:57.000000,1.1.0,4.0,trfl,,,,['tensorflow'],55.0,53.0,https://pypi.org/project/trfl,2020-04-20 14:11:57.000000,2.0,2060.0,2060.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n555,NeMo,NVIDIA/NeMo,,nlp,https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000000,2021-07-15 13:20:15.000000,2021-07-15 07:20:45.000000,558,95.0,558.0,2907.0,,NeMo: a toolkit for conversational AI.,99.0,21,True,2021-07-02 21:51:32.000000,1.1.0,40.0,nemo-toolkit,,,,['pytorch'],4.0,,https://pypi.org/project/nemo-toolkit,2021-07-02 21:07:07.000000,4.0,7042.0,7264.0,,,,,,,,3.0,4885.0,,,,,,,,,,,,,,,,,,,,\n556,finmarketpy,cuemacro/finmarketpy,,financial-data,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03.000000,2021-06-29 12:18:31.000000,2021-06-29 12:18:26.000000,438,23.0,3.0,2607.0,674.0,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,14.0,21,True,2021-06-01 16:13:24.000000,0.11.9,10.0,finmarketpy,,,,,3.0,3.0,https://pypi.org/project/finmarketpy,2021-06-01 16:13:24.000000,,161.0,161.0,,,,,,,,3.0,39.0,,,,,,,,,,,,,,,,,,,,\n557,DeepWalk,phanein/deepwalk,,graph,https://github.com/phanein/deepwalk,https://github.com/phanein/deepwalk,GPL-3.0,2014-08-23 03:38:20.000000,2021-07-13 03:49:24.000000,2020-04-02 01:05:35.000000,764,29.0,80.0,2270.0,46.0,DeepWalk - Deep Learning for Graphs.,10.0,21,False,2018-04-29 21:05:18.000000,1.0.3,4.0,deepwalk,,,,,50.0,43.0,https://pypi.org/project/deepwalk,2018-04-29 21:05:18.000000,7.0,3407.0,3407.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n558,Texthero,jbesomi/texthero,,nlp,https://github.com/jbesomi/texthero,https://github.com/jbesomi/texthero,MIT,2020-04-06 15:16:05.000000,2021-07-01 17:11:02.000000,2021-04-07 16:52:32.000000,195,76.0,57.0,2251.0,268.0,\"Text preprocessing, representation and visualization from zero to hero.\",18.0,21,True,2021-07-01 17:11:02.000000,1.1.0,10.0,texthero,,,,,0.0,,https://pypi.org/project/texthero,2021-07-01 17:11:02.000000,0.0,5274.0,5279.0,,,,,,,,3.0,78.0,,,,,,,,,,,,,,,,,,,,\n559,PARL,PaddlePaddle/PARL,,reinforcement-learning,https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22.000000,2021-07-15 02:23:11.000000,2021-07-12 09:09:41.000000,505,55.0,190.0,2096.0,1.0,A high-performance distributed training framework for Reinforcement Learning.,25.0,21,True,2021-07-08 13:09:56.000000,2.0.2,22.0,parl,,,,['paddle'],73.0,73.0,https://pypi.org/project/parl,2021-07-08 13:09:56.000000,,756.0,756.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n560,cleanlab,cgnorthcutt/cleanlab,,others,https://github.com/cgnorthcutt/cleanlab,https://github.com/cgnorthcutt/cleanlab,AGPL-3.0,2018-05-11 01:55:21.000000,2021-06-06 01:28:39.000000,2021-06-06 01:28:39.000000,196,21.0,45.0,2038.0,808.0,The standard package for machine learning with noisy labels and finding mislabeled data. Works with most datasets and..,6.0,21,False,2021-04-18 19:52:49.000000,1.0,15.0,cleanlab,,,,,17.0,17.0,https://pypi.org/project/cleanlab,2020-02-17 07:33:06.000000,,5356.0,5356.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n561,vissl,facebookresearch/vissl,,image,https://github.com/facebookresearch/vissl,https://github.com/facebookresearch/vissl,MIT,2020-04-09 19:40:33.000000,2021-07-15 14:32:58.000000,2021-07-15 14:32:53.000000,161,37.0,45.0,1792.0,206.0,\"VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.\",24.0,21,True,2021-03-02 18:51:51.000000,0.1.5,5.0,vissl,,,,['pytorch'],,,https://pypi.org/project/vissl,2021-01-25 17:22:19.000000,,450.0,450.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n562,Sweetviz,fbdesignpro/sweetviz,,data-viz,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47.000000,2021-07-08 14:32:09.000000,2021-07-08 14:31:20.000000,172,23.0,61.0,1672.0,102.0,\"Visualize and compare datasets, target values and associations, with one line of code.\",6.0,21,True,2021-07-08 14:32:09.000000,2.1.3,31.0,sweetviz,,,,,0.0,,https://pypi.org/project/sweetviz,2021-07-08 14:32:09.000000,0.0,26595.0,26595.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n563,reformer-pytorch,lucidrains/reformer-pytorch,,pytorch-utils,https://github.com/lucidrains/reformer-pytorch,https://github.com/lucidrains/reformer-pytorch,MIT,2020-01-09 20:42:37.000000,2021-05-09 14:50:10.000000,2021-05-09 14:49:27.000000,204,11.0,100.0,1539.0,243.0,\"Reformer, the efficient Transformer, in Pytorch.\",10.0,21,True,2021-05-09 14:49:45.000000,1.4.2,137.0,reformer-pytorch,,,,['pytorch'],,,https://pypi.org/project/reformer-pytorch,2021-05-09 14:50:10.000000,,2070.0,2070.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n564,hiddenlayer,waleedka/hiddenlayer,,ml-experiments,https://github.com/waleedka/hiddenlayer,https://github.com/waleedka/hiddenlayer,MIT,2018-05-18 22:34:51.000000,2021-06-12 16:54:12.000000,2020-04-24 06:58:09.000000,214,45.0,34.0,1480.0,58.0,\"Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.\",6.0,21,False,2018-12-03 04:33:29.000000,0.2,3.0,hiddenlayer,,,,\"['pytorch', 'tensorflow', 'jupyter']\",85.0,77.0,https://pypi.org/project/hiddenlayer,2020-04-24 07:32:11.000000,8.0,2844.0,2844.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n565,jiant,nyu-mll/jiant,,nlp,https://github.com/nyu-mll/jiant,https://github.com/nyu-mll/jiant,MIT,2018-06-18 18:12:47.000000,2021-07-09 03:57:08.000000,2021-07-09 03:57:08.000000,245,56.0,480.0,1288.0,1919.0,jiant is an nlp toolkit.,56.0,21,True,2021-05-10 18:56:39.000000,2.2.0,19.0,jiant,,,,,2.0,2.0,https://pypi.org/project/jiant,2021-05-10 18:56:39.000000,,141.0,141.0,,,,,,,,3.0,,,,,,,,-1.0,,,,,,,,,,,,,\n566,datatable,h2oai/datatable,,data-containers,https://github.com/h2oai/datatable,https://github.com/h2oai/datatable,MPL-2.0,2017-03-03 02:32:59.000000,2021-07-15 08:03:05.000000,2021-07-15 04:24:58.000000,113,127.0,1182.0,1250.0,,A Python package for manipulating 2-dimensional tabular data structures.,29.0,21,True,2021-07-02 00:15:35.000000,1.0.0,16.0,datatable,,,,,6.0,,https://pypi.org/project/datatable,2021-07-01 23:36:34.000000,6.0,57704.0,57727.0,,,,,,,,3.0,1086.0,,,,,,,,,,,,,,,,,,,,\n567,pytorch-forecasting,jdb78/pytorch-forecasting,,time-series-data,https://github.com/jdb78/pytorch-forecasting,https://github.com/jdb78/pytorch-forecasting,MIT,2020-07-03 13:05:24.000000,2021-07-14 19:16:52.000000,2021-07-08 19:48:11.000000,144,77.0,196.0,1200.0,943.0,Time series forecasting with PyTorch.,18.0,21,True,2021-06-04 17:48:44.000000,0.9.0,27.0,pytorch-forecasting,,,,,,,https://pypi.org/project/pytorch-forecasting,2021-06-04 17:48:44.000000,,10069.0,10069.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n568,CausalNex,quantumblacklabs/causalnex,,interpretability,https://github.com/quantumblacklabs/causalnex,https://github.com/quantumblacklabs/causalnex,Apache-2.0,2019-12-12 15:26:09.000000,2021-06-19 10:57:44.000000,2021-05-11 18:43:42.000000,127,38.0,44.0,1185.0,117.0,A Python library that helps data scientists to infer causation rather than observing correlation.,18.0,21,True,2021-05-11 18:35:56.000000,0.10.0,15.0,causalnex,,,,\"['pytorch', 'sklearn']\",14.0,14.0,https://pypi.org/project/causalnex,2021-05-11 18:35:56.000000,,2336.0,2336.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n569,tensorrec,jfkirk/tensorrec,,recommender-systems,https://github.com/jfkirk/tensorrec,https://github.com/jfkirk/tensorrec,Apache-2.0,2017-02-28 18:51:11.000000,2021-06-08 20:06:07.000000,2020-02-04 21:10:25.000000,217,34.0,90.0,1151.0,334.0,A TensorFlow recommendation algorithm and framework in Python.,8.0,21,False,2019-04-02 00:53:47.000000,0.26.2,30.0,tensorrec,,,,['tensorflow'],29.0,26.0,https://pypi.org/project/tensorrec,2019-04-02 00:53:47.000000,3.0,709.0,709.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n570,TaskTiger,closeio/tasktiger,,data-pipelines,https://github.com/closeio/tasktiger,https://github.com/closeio/tasktiger,MIT,2015-05-14 00:26:32.000000,2021-06-14 12:52:20.000000,2021-06-14 12:52:20.000000,59,36.0,35.0,1084.0,269.0,Python task queue using Redis.,22.0,21,True,2021-04-21 06:15:46.000000,0.15,25.0,tasktiger,,,,,38.0,20.0,https://pypi.org/project/tasktiger,2021-04-16 07:36:13.000000,18.0,1581.0,1581.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n571,lightly,lightly-ai/lightly,,image,https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000000,2021-07-12 09:10:32.000000,2021-07-12 09:10:31.000000,61,49.0,149.0,1065.0,479.0,A python library for self-supervised learning on images.,11.0,21,True,2021-07-08 09:18:20.000000,1.1.15,27.0,lightly,,,,['pytorch'],16.0,16.0,https://pypi.org/project/lightly,2021-07-08 09:21:37.000000,0.0,1324.0,1324.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n572,luminol,linkedin/luminol,,time-series-data,https://github.com/linkedin/luminol,https://github.com/linkedin/luminol,Apache-2.0,2015-11-18 23:16:33.000000,2020-12-27 09:54:35.000000,2018-01-09 07:46:55.000000,190,31.0,12.0,942.0,69.0,Anomaly Detection and Correlation library.,8.0,21,False,2016-01-20 01:01:44.000000,0.3.1,5.0,luminol,,,,,68.0,40.0,https://pypi.org/project/luminol,2017-12-11 06:04:15.000000,28.0,42151.0,42151.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n573,geoplotlib,andrea-cuttone/geoplotlib,,geospatial-data,https://github.com/andrea-cuttone/geoplotlib,https://github.com/andrea-cuttone/geoplotlib,MIT,2015-02-24 13:13:07.000000,2020-04-10 20:00:31.000000,2019-05-06 07:06:50.000000,155,30.0,18.0,919.0,159.0,python toolbox for visualizing geographical data and making maps.,8.0,21,False,2016-07-27 14:55:01.000000,0.3.2,4.0,geoplotlib,,,,,121.0,110.0,https://pypi.org/project/geoplotlib,2016-07-27 14:55:01.000000,11.0,1731.0,1731.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n574,TF Recommenders,tensorflow/recommenders,,recommender-systems,https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01.000000,2021-07-14 21:26:29.000000,2021-07-14 21:26:20.000000,120,78.0,77.0,918.0,,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,24.0,21,True,2021-05-17 16:37:44.000000,0.5.1,10.0,tensorflow-recommenders,,,,['tensorflow'],29.0,29.0,https://pypi.org/project/tensorflow-recommenders,2021-05-17 16:37:44.000000,0.0,22450.0,22450.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n575,TFEncrypted,tf-encrypted/tf-encrypted,,privacy-ml,https://github.com/tf-encrypted/tf-encrypted,https://github.com/tf-encrypted/tf-encrypted,Apache-2.0,2018-03-21 18:22:13.000000,2021-04-21 08:39:31.000000,2020-08-19 16:56:56.000000,152,169.0,232.0,899.0,595.0,A Framework for Encrypted Machine Learning in TensorFlow.,28.0,21,True,2019-09-27 20:00:01.000000,0.5.9,35.0,tf-encrypted,,,,['tensorflow'],70.0,54.0,https://pypi.org/project/tf-encrypted,2019-10-21 18:05:53.000000,16.0,782.0,782.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n576,keras-ocr,faustomorales/keras-ocr,,ocr,https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50.000000,2021-06-30 10:06:10.000000,2021-06-18 05:03:36.000000,215,42.0,100.0,884.0,180.0,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,10.0,21,True,2021-06-14 13:06:32.000000,0.8.7,27.0,keras-ocr,,,,['tensorflow'],2.0,,https://pypi.org/project/keras-ocr,2021-06-14 13:06:32.000000,2.0,5978.0,12169.0,,,,,,,,3.0,61918.0,,,,,,,,,,,,,,,,,,,,\n577,attention-ocr,emedvedev/attention-ocr,,ocr,https://github.com/emedvedev/attention-ocr,https://github.com/emedvedev/attention-ocr,MIT,2017-07-21 18:35:19.000000,2021-02-23 04:33:25.000000,2020-10-31 19:40:19.000000,233,21.0,126.0,873.0,196.0,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,27.0,21,True,2020-10-12 06:56:40.000000,0.7.6,21.0,aocr,,,,['tensorflow'],17.0,17.0,https://pypi.org/project/aocr,2019-04-19 05:28:27.000000,,1358.0,1358.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n578,Satpy,pytroll/satpy,,geospatial-data,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000000,2021-07-14 19:08:03.000000,2021-06-29 15:16:06.000000,201,307.0,371.0,726.0,,Python package for earth-observing satellite data processing.,110.0,21,False,2021-06-06 14:38:31.000000,0.29.0,68.0,satpy,conda-forge/satpy,,,,50.0,44.0,https://pypi.org/project/satpy,2021-06-06 14:38:31.000000,6.0,1541.0,3400.0,https://anaconda.org/conda-forge/satpy,2021-06-06 21:57:26.187000,66935.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n579,mlens,flennerhag/mlens,,others,https://github.com/flennerhag/mlens,https://github.com/flennerhag/mlens,MIT,2017-01-10 20:53:47.000000,2020-02-25 14:32:48.000000,2020-02-25 14:31:53.000000,88,8.0,73.0,692.0,879.0,ML-Ensemble high performance ensemble learning.,7.0,21,False,2018-10-30 22:34:35.000000,0.2.3,14.0,mlens,,,,,144.0,141.0,https://pypi.org/project/mlens,2018-10-30 22:30:43.000000,3.0,9742.0,9742.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n580,TreeInterpreter,andosa/treeinterpreter,,interpretability,https://github.com/andosa/treeinterpreter,https://github.com/andosa/treeinterpreter,BSD-3-Clause,2015-08-02 20:26:21.000000,2021-02-28 18:33:06.000000,2021-02-28 18:33:06.000000,132,24.0,4.0,671.0,37.0,Package for interpreting scikit-learn's decision tree and random forest predictions.,11.0,21,True,2021-01-10 20:12:39.000000,0.2.3,5.0,treeinterpreter,,,,['sklearn'],166.0,148.0,https://pypi.org/project/treeinterpreter,2021-01-10 20:12:39.000000,18.0,189927.0,189927.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n581,Prince,MaxHalford/prince,,others,https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000000,2021-04-15 19:05:12.000000,2021-01-11 21:14:58.000000,123,32.0,66.0,663.0,179.0,\"Python factor analysis library (PCA, CA, MCA, MFA, FAMD).\",9.0,21,True,2020-10-06 11:26:47.000000,0.7.1,41.0,prince,,,,['sklearn'],144.0,138.0,https://pypi.org/project/prince,2020-10-06 11:26:47.000000,6.0,16568.0,16568.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n582,pdpipe,pdpipe/pdpipe,,data-pipelines,https://github.com/pdpipe/pdpipe,https://github.com/pdpipe/pdpipe,MIT,2017-01-24 20:37:22.000000,2021-06-20 13:05:01.000000,2021-06-20 12:59:10.000000,28,7.0,15.0,610.0,343.0,Easy pipelines for pandas DataFrames.,8.0,21,True,2021-02-23 19:40:09.000000,0.0.51,49.0,pdpipe,,,,['pandas'],32.0,32.0,https://pypi.org/project/pdpipe,2020-11-09 09:32:37.000000,0.0,2329.0,2329.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n583,Labml,labmlai/labml,,ml-experiments,https://github.com/labmlai/labml,https://github.com/labmlai/labml,MIT,2018-11-16 09:34:48.000000,2021-07-12 03:25:53.000000,2021-07-10 04:57:26.000000,50,7.0,8.0,596.0,1060.0,Monitor deep learning model training and hardware usage from your mobile phone.,6.0,21,True,2021-07-05 10:18:40.000000,0.4.126,103.0,labml,,,,,31.0,31.0,https://pypi.org/project/labml,2021-07-05 10:18:40.000000,0.0,1171.0,1171.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n584,explainerdashboard,oegedijk/explainerdashboard,,interpretability,https://github.com/oegedijk/explainerdashboard,https://github.com/oegedijk/explainerdashboard,MIT,2019-10-30 08:26:16.000000,2021-07-08 17:17:35.000000,2021-07-08 17:17:31.000000,72,9.0,98.0,588.0,1213.0,Quickly build Explainable AI dashboards that show the inner workings of so-called blackbox machine learning models.,12.0,21,True,2021-07-08 14:22:49.000000,0.3.6.2,77.0,explainerdashboard,,,,,28.0,28.0,https://pypi.org/project/explainerdashboard,2021-07-08 14:24:19.000000,,6323.0,6323.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n585,Feature Engine,solegalli/feature_engine,,others,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2018-12-31 01:47:18.000000,2021-07-14 14:16:37.000000,2021-07-14 06:30:35.000000,158,30.0,94.0,585.0,124.0,Feature engineering package with sklearn like functionality.,24.0,21,True,2021-06-22 09:56:39.000000,1.1.0,26.0,feature_engine,conda-forge/feature_engine,,,,2.0,,https://pypi.org/project/feature_engine,2021-06-22 08:04:44.000000,2.0,28838.0,29176.0,https://anaconda.org/conda-forge/feature_engine,2021-06-22 09:58:00.823000,3725.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n586,pickleDB,patx/pickledb,,data-containers,https://github.com/patx/pickledb,https://github.com/patx/pickledb,BSD-3-Clause,2011-10-28 00:04:40.000000,2021-03-23 21:52:22.000000,2019-11-15 03:38:30.000000,98,22.0,39.0,570.0,105.0,pickleDB is an open source key-value store using Python's json module.,11.0,21,False,2019-01-14 18:48:25.000000,0.9.2,20.0,pickledb,,,,,760.0,648.0,https://pypi.org/project/pickledb,2019-01-14 18:48:25.000000,112.0,18531.0,18531.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n587,combo,yzhao062/combo,,sklearn-utils,https://github.com/yzhao062/combo,https://github.com/yzhao062/combo,BSD-2-Clause,2019-07-14 01:13:36.000000,2021-03-29 00:05:33.000000,2021-03-15 01:39:54.000000,85,9.0,3.0,503.0,202.0,(AAAI' 20) A Python Toolbox for Machine Learning Model Combination.,1.0,21,True,2020-12-23 02:21:49.000000,0.1.2,12.0,combo,,,,\"['sklearn', 'xgboost']\",368.0,368.0,https://pypi.org/project/combo,2020-12-23 02:21:49.000000,0.0,49987.0,49987.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n588,nnAudio,KinWaiCheuk/nnAudio,,audio,https://github.com/KinWaiCheuk/nnAudio,https://github.com/KinWaiCheuk/nnAudio,MIT,2019-09-02 04:31:14.000000,2021-06-29 14:21:06.000000,2021-06-29 14:21:05.000000,51,9.0,31.0,501.0,257.0,Audio processing by using pytorch 1D convolution network.,11.0,21,True,2021-06-11 06:57:25.000000,0.2.4,34.0,nnAudio,,,,,16.0,16.0,https://pypi.org/project/nnAudio,2021-06-11 06:57:25.000000,,4285.0,4285.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n589,random-forest-importances,parrt/random-forest-importances,,interpretability,https://github.com/parrt/random-forest-importances,https://github.com/parrt/random-forest-importances,MIT,2018-03-22 19:20:13.000000,2021-01-30 21:50:08.000000,2021-01-30 21:50:02.000000,100,4.0,27.0,461.0,249.0,Code to compute permutation and drop-column importances in Python scikit-learn models.,14.0,21,True,2021-01-28 23:23:17.000000,1.3.7,22.0,rfpimp,,,,['sklearn'],76.0,72.0,https://pypi.org/project/rfpimp,2021-01-28 23:19:33.000000,4.0,19124.0,19124.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n590,FiftyOne,voxel51/fiftyone,,data-viz,https://github.com/voxel51/fiftyone,https://github.com/voxel51/fiftyone,Apache-2.0,2020-04-22 13:43:28.000000,2021-07-15 15:20:24.000000,2021-07-15 13:08:23.000000,42,145.0,307.0,461.0,5467.0,\"Visualize, create, and debug image and video datasets and model predictions.\",14.0,21,True,2021-06-29 17:50:39.000000,0.11.1,55.0,fiftyone,,,,\"['tensorflow', 'pytorch', 'jupyter']\",8.0,8.0,https://pypi.org/project/fiftyone,2021-06-29 17:50:39.000000,0.0,6448.0,6448.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n591,pivottablejs,nicolaskruchten/jupyter_pivottablejs,,data-viz,https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,MIT,2015-09-09 13:39:18.000000,2018-12-04 14:43:26.000000,2018-12-04 14:43:25.000000,59,16.0,37.0,440.0,32.0,\"Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js.\",3.0,21,False,2018-01-15 18:14:37.000000,0.9.0,10.0,pivottablejs,,,,['jupyter'],209.0,175.0,https://pypi.org/project/pivottablejs,2018-01-15 18:14:37.000000,34.0,14022.0,14022.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n592,Neuraxle,Neuraxio/Neuraxle,,hyperopt,https://github.com/Neuraxio/Neuraxle,https://github.com/Neuraxio/Neuraxle,Apache-2.0,2019-03-26 21:01:54.000000,2021-07-12 16:01:49.000000,2021-07-12 16:01:48.000000,48,147.0,162.0,426.0,1549.0,A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right..,7.0,21,True,2021-06-29 01:10:09.000000,0.6.0,21.0,neuraxle,,,,,21.0,21.0,https://pypi.org/project/neuraxle,2021-06-29 00:24:34.000000,0.0,376.0,376.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n593,Submit it,facebookincubator/submitit,,distributed-ml,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09.000000,2021-07-12 16:06:16.000000,2021-07-12 16:06:16.000000,33,22.0,25.0,423.0,70.0,Python 3.6+ toolbox for submitting jobs to Slurm.,14.0,21,True,2021-04-08 08:01:58.000000,1.3.2,13.0,submitit,conda-forge/submitit,,,,180.0,180.0,https://pypi.org/project/submitit,2021-04-08 08:01:58.000000,0.0,5399.0,5703.0,https://anaconda.org/conda-forge/submitit,2021-02-10 12:48:57.745000,3344.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n594,skope-rules,scikit-learn-contrib/skope-rules,,sklearn-utils,https://github.com/scikit-learn-contrib/skope-rules,https://github.com/scikit-learn-contrib/skope-rules,BSD-1-Clause,2018-02-18 13:42:47.000000,2021-05-12 08:25:18.000000,2020-10-23 14:31:57.000000,67,23.0,5.0,401.0,247.0,machine learning with logical rules in Python.,18.0,21,False,2020-12-11 09:37:02.000000,1.0.1,4.0,skope-rules,,,,['sklearn'],44.0,38.0,https://pypi.org/project/skope-rules,2020-01-25 12:01:37.000000,6.0,42000.0,42000.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n595,aequitas,dssg/aequitas,,interpretability,https://github.com/dssg/aequitas,https://github.com/dssg/aequitas,MIT,2018-02-13 19:40:30.000000,2021-07-13 10:19:56.000000,2021-05-27 09:45:10.000000,77,37.0,21.0,400.0,857.0,Bias and Fairness Audit Toolkit.,16.0,21,True,2020-12-16 11:48:14.000000,0.42.0,16.0,aequitas,,,,,83.0,77.0,https://pypi.org/project/aequitas,2020-12-16 11:48:14.000000,6.0,1351.0,1351.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n596,AutoViz,AutoViML/AutoViz,,data-viz,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06.000000,2021-07-01 13:34:56.000000,2021-07-01 13:32:23.000000,72,3.0,25.0,389.0,98.0,\"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..\",10.0,21,True,2021-07-01 13:34:56.000000,0.0.83,27.0,autoviz,,,,,69.0,69.0,https://pypi.org/project/autoviz,2021-07-01 13:34:56.000000,0.0,3698.0,3698.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n597,optunity,claesenm/optunity,,hyperopt,https://github.com/claesenm/optunity,https://github.com/claesenm/optunity,BSD-3-Clause,2014-05-28 17:29:11.000000,2020-05-11 14:32:39.000000,2020-05-11 14:32:38.000000,73,47.0,48.0,372.0,782.0,optimization routines for hyperparameter tuning.,9.0,21,False,2015-09-30 05:02:00.000000,1.1.1,6.0,optunity,,,,,85.0,61.0,https://pypi.org/project/optunity,2015-09-30 05:02:00.000000,24.0,14646.0,14646.0,,,,,,,,3.0,67.0,,,,,,,,,,,,,,,,,,,,\n598,Pandas Summary,mouradmourafiq/pandas-summary,,data-containers,https://github.com/mouradmourafiq/pandas-summary,https://github.com/mouradmourafiq/pandas-summary,MIT,2016-03-25 21:59:32.000000,2019-08-24 21:10:25.000000,2019-08-24 21:10:24.000000,34,8.0,5.0,365.0,24.0,An extension to pandas dataframes describe function.,6.0,21,False,2016-08-30 07:54:59.000000,0.0.41,8.0,pandas-summary,,,,['pandas'],725.0,635.0,https://pypi.org/project/pandas-summary,2016-08-30 07:54:59.000000,90.0,30174.0,30174.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n599,MedPy,loli/medpy,,medical-data,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34.000000,2020-05-01 15:25:39.000000,2020-05-01 15:25:38.000000,111,12.0,67.0,355.0,324.0,Medical image processing in Python.,13.0,21,False,2019-02-14 17:12:59.000000,0.4.0,6.0,MedPy,,,,,356.0,326.0,https://pypi.org/project/MedPy,2019-02-14 17:12:59.000000,30.0,8261.0,8261.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n600,joypy,leotac/joypy,,data-viz,https://github.com/leotac/joypy,https://github.com/leotac/joypy,MIT,2017-07-30 17:18:50.000000,2021-06-13 10:07:53.000000,2021-06-13 10:07:43.000000,36,6.0,36.0,338.0,111.0,Joyplots in Python with matplotlib & pandas.,5.0,21,True,2020-12-28 11:54:36.000000,0.2.4,16.0,joypy,conda-forge/joypy,,,,93.0,87.0,https://pypi.org/project/joypy,2020-12-28 11:54:36.000000,6.0,24497.0,24858.0,https://anaconda.org/conda-forge/joypy,2020-12-28 14:07:53.760000,10125.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n601,ploomber,ploomber/ploomber,,data-pipelines,https://github.com/ploomber/ploomber,https://github.com/ploomber/ploomber,Apache-2.0,2020-01-20 20:13:06.000000,2021-07-12 22:58:05.000000,2021-07-11 14:58:42.000000,9,48.0,258.0,328.0,1903.0,\"Write maintainable, production-ready pipelines using Jupyter or your favorite text editor. Develop locally, deploy to..\",6.0,21,True,2021-06-09 02:00:25.000000,0.11.1,47.0,ploomber,,,,,13.0,13.0,https://pypi.org/project/ploomber,2021-07-09 17:22:36.000000,0.0,3135.0,3135.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n602,sklearn-evaluation,edublancas/sklearn-evaluation,,interpretability,https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2015-09-04 16:33:42.000000,2021-07-10 03:58:35.000000,2021-07-10 03:58:32.000000,28,8.0,29.0,310.0,523.0,\"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook..\",6.0,21,True,2021-06-26 14:03:00.000000,0.5.6,18.0,sklearn-evaluation,,,,['sklearn'],31.0,29.0,https://pypi.org/project/sklearn-evaluation,2021-06-26 14:01:25.000000,2.0,1544.0,1544.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n603,Hyperactive,SimonBlanke/Hyperactive,,hyperopt,https://github.com/SimonBlanke/Hyperactive,https://github.com/SimonBlanke/Hyperactive,MIT,2018-11-01 08:53:30.000000,2021-07-07 12:40:57.000000,2021-07-07 12:23:00.000000,25,3.0,23.0,275.0,1914.0,A hyperparameter optimization and data collection toolbox for convenient and fast prototyping of machine-learning..,3.0,21,False,2021-07-07 12:40:57.000000,3.2.4,56.0,hyperactive,,,,,9.0,9.0,https://pypi.org/project/hyperactive,2021-07-02 12:19:28.000000,0.0,1587.0,1590.0,,,,,,,,3.0,97.0,,,,,,,,,,,,,,,,,,,,\n604,Auto ViML,AutoViML/Auto_ViML,,hyperopt,https://github.com/AutoViML/Auto_ViML,https://github.com/AutoViML/Auto_ViML,Apache-2.0,2019-06-10 13:09:15.000000,2021-05-17 02:25:55.000000,2021-05-17 02:24:37.000000,59,4.0,14.0,274.0,291.0,Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome...,6.0,21,False,2021-04-15 00:54:35.000000,0.1.681,131.0,autoviml,,,,,13.0,13.0,https://pypi.org/project/autoviml,2021-05-17 02:25:55.000000,0.0,1405.0,1405.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n605,StaticFrame,InvestmentSystems/static-frame,,data-containers,https://github.com/InvestmentSystems/static-frame,https://github.com/InvestmentSystems/static-frame,MIT,2018-01-03 15:07:52.000000,2021-07-15 04:40:31.000000,2021-07-15 04:36:42.000000,22,35.0,277.0,233.0,2691.0,Immutable and grow-only Pandas-like DataFrames with a more explicit and consistent interface.,16.0,21,False,2021-06-14 19:18:02.000000,0.8.14,113.0,static-frame,conda-forge/static-frame,,,,9.0,9.0,https://pypi.org/project/static-frame,2021-06-14 19:15:57.000000,0.0,1603.0,4948.0,https://anaconda.org/conda-forge/static-frame,2021-06-14 20:52:49.304000,97023.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n606,scikit-posthocs,maximtrp/scikit-posthocs,,probabilistics,https://github.com/maximtrp/scikit-posthocs,https://github.com/maximtrp/scikit-posthocs,MIT,2017-06-22 19:41:37.000000,2021-06-12 08:46:35.000000,2021-06-12 08:46:25.000000,23,4.0,37.0,211.0,458.0,Multiple Pairwise Comparisons (Post Hoc) Tests in Python.,8.0,21,False,2021-03-17 06:05:28.000000,0.6.7,21.0,scikit-posthocs,,,,['sklearn'],6.0,,https://pypi.org/project/scikit-posthocs,2021-03-15 16:05:51.000000,6.0,37627.0,37627.0,,,,,,,,3.0,23.0,,,,,,,,,,,,,,,,,,,,\n607,huggingface_hub,huggingface/huggingface_hub,,model-serialisation,https://github.com/huggingface/huggingface_hub,https://github.com/huggingface/huggingface_hub,Apache-2.0,2020-12-22 10:20:28.000000,2021-07-15 15:02:43.000000,2021-07-15 14:49:41.000000,22,40.0,21.0,161.0,,Client library to download and publish models and other files on the huggingface.co hub.,26.0,21,False,2021-06-28 12:57:27.000000,0.0.13,15.0,huggingface_hub,conda-forge/huggingface_hub,,,,0.0,,https://pypi.org/project/huggingface_hub,2021-06-28 12:50:02.000000,0.0,1254258.0,1255404.0,https://anaconda.org/conda-forge/huggingface_hub,2021-06-29 07:16:19.550000,5732.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n608,cuDF,rapidsai/cudf,,gpu-utilities,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000000,2021-07-15 13:29:44.000000,2021-07-15 13:23:04.000000,529,597.0,3240.0,4053.0,,cuDF - GPU DataFrame Library.,217.0,20,True,2021-06-17 15:12:32.000000,21.06.01,12.0,cudf,,,,,4.0,,https://pypi.org/project/cudf,2020-06-01 20:07:47.000000,4.0,1011.0,1011.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n609,MindsDB,mindsdb/mindsdb,,ml-frameworks,https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,GPL-3.0,2018-08-02 17:56:45.000000,2021-07-15 13:55:38.000000,2021-07-15 12:08:08.000000,442,57.0,549.0,3797.0,,Predictive AI layer for existing databases.,56.0,20,False,2021-07-15 12:40:59.000000,2.41.1,57.0,mindsdb,,,,['pytorch'],6.0,,https://pypi.org/project/mindsdb,2019-03-19 05:07:23.000000,6.0,4188.0,4188.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n610,FATE,FederatedAI/FATE,,privacy-ml,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000000,2021-07-15 12:37:38.000000,2021-07-07 03:54:33.000000,936,308.0,599.0,3252.0,7611.0,An Industrial Grade Federated Learning Framework.,58.0,20,True,2021-03-31 14:56:10.000000,1.6.0,26.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n611,AdaBound,Luolc/AdaBound,,pytorch-utils,https://github.com/Luolc/AdaBound,https://github.com/Luolc/AdaBound,Apache-2.0,2019-02-15 18:05:20.000000,2019-03-06 17:01:52.000000,2019-03-06 17:01:45.000000,327,16.0,7.0,2859.0,27.0,An optimizer that trains as fast as Adam and as good as SGD.,2.0,20,False,2019-03-06 16:44:42.000000,0.0.5,4.0,adabound,,,,['pytorch'],125.0,113.0,https://pypi.org/project/adabound,2019-02-26 04:23:45.000000,12.0,1125.0,1125.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n612,tf-quant-finance,google/tf-quant-finance,,financial-data,https://github.com/google/tf-quant-finance,https://github.com/google/tf-quant-finance,Apache-2.0,2019-07-24 16:09:50.000000,2021-07-14 15:41:13.000000,2021-07-14 15:41:05.000000,361,18.0,16.0,2710.0,746.0,High-performance TensorFlow library for quantitative finance.,33.0,20,True,,,23.0,tf-quant-finance,,,,['tensorflow'],7.0,7.0,https://pypi.org/project/tf-quant-finance,2021-07-13 12:32:27.000000,0.0,282.0,282.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n613,NLP Architect,IntelLabs/nlp-architect,,nlp,https://github.com/IntelLabs/nlp-architect,https://github.com/IntelLabs/nlp-architect,Apache-2.0,2018-05-17 21:00:13.000000,2021-06-10 23:23:07.000000,2021-04-13 08:02:56.000000,404,16.0,110.0,2700.0,953.0,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,36.0,20,True,2020-11-17 12:32:37.000000,0.5.5.1,13.0,nlp-architect,,,,,8.0,8.0,https://pypi.org/project/nlp-architect,2020-04-12 11:34:38.000000,,557.0,557.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n614,dpark,douban/dpark,,data-pipelines,https://github.com/douban/dpark,https://github.com/douban/dpark,BSD-3-Clause,2012-04-11 08:35:06.000000,2020-12-25 10:36:06.000000,2020-12-25 10:36:05.000000,554,,60.0,2661.0,1467.0,\"Python clone of Spark, a MapReduce alike framework in Python.\",35.0,20,True,2018-07-27 04:11:36.000000,0.5.0,19.0,dpark,,,,['spark'],4.0,3.0,https://pypi.org/project/dpark,2018-07-27 04:11:36.000000,1.0,110.0,110.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n615,DeepVariant,google/deepvariant,,medical-data,https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000000,2021-07-12 13:17:16.000000,2021-03-31 18:23:13.000000,551,3.0,421.0,2294.0,1503.0,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,19.0,20,True,2020-12-07 17:56:31.000000,1.1.0,15.0,,bioconda/deepvariant,,,['tensorflow'],,,,,,,822.0,https://anaconda.org/bioconda/deepvariant,2021-04-30 21:23:18.277000,31273.0,,,,,3.0,3390.0,,,,,,,,,,,,,,,,,,,,\n616,HiPlot,facebookresearch/hiplot,,data-viz,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41.000000,2021-07-12 10:23:00.135000,2021-07-12 08:31:54.000000,98,10.0,57.0,2141.0,147.0,HiPlot makes understanding high dimensional data easy.,6.0,20,True,2021-07-12 08:34:13.000000,0.1.26,70.0,hiplot,conda-forge/hiplot,,,,2.0,2.0,https://pypi.org/project/hiplot,2021-07-12 08:45:22.000000,0.0,8179.0,11610.0,https://anaconda.org/conda-forge/hiplot,2021-07-12 10:23:00.135000,58343.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n617,Kashgari,BrikerMan/Kashgari,,nlp,https://github.com/BrikerMan/Kashgari,https://github.com/BrikerMan/Kashgari,Apache-2.0,2019-01-19 01:53:28.000000,2021-07-09 03:57:16.000000,2021-07-09 03:57:16.000000,409,32.0,318.0,2140.0,,Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-..,21.0,20,True,2021-07-04 10:44:36.000000,2.0.2,24.0,kashgari-tf,,,,['tensorflow'],42.0,40.0,https://pypi.org/project/kashgari-tf,2019-10-18 07:57:55.000000,2.0,137.0,137.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n618,Coach,IntelLabs/coach,,reinforcement-learning,https://github.com/IntelLabs/coach,https://github.com/IntelLabs/coach,Apache-2.0,2017-10-01 19:27:43.000000,2021-06-28 07:40:53.000000,2021-06-28 07:40:53.000000,392,86.0,183.0,2007.0,521.0,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,35.0,20,True,2019-10-10 14:17:10.000000,1.0.1,13.0,rl_coach,,,,,2.0,,https://pypi.org/project/rl_coach,2019-10-10 14:17:10.000000,2.0,286.0,286.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n619,fast-bert,utterworks/fast-bert,,nlp,https://github.com/utterworks/fast-bert,https://github.com/utterworks/fast-bert,Apache-2.0,2019-04-18 22:01:20.000000,2021-07-12 23:15:34.000000,2021-07-12 23:15:29.000000,321,146.0,93.0,1611.0,,Super easy library for BERT based NLP models.,35.0,20,True,2021-05-23 14:35:28.000000,1.9.9,43.0,fast-bert,,,,,2.0,,https://pypi.org/project/fast-bert,2021-05-23 14:35:28.000000,2.0,1938.0,1938.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n620,auto_ml,ClimbsRocks/auto_ml,,hyperopt,https://github.com/ClimbsRocks/auto_ml,https://github.com/ClimbsRocks/auto_ml,MIT,2016-08-07 21:35:08.000000,2021-02-10 07:52:35.000000,2018-03-25 19:46:25.000000,295,185.0,216.0,1542.0,1149.0,[UNMAINTAINED] Automated machine learning for analytics & production.,13.0,20,False,2018-02-22 01:13:03.000000,2.9.10,78.0,auto_ml,,,,,2.0,,https://pypi.org/project/auto_ml,2018-02-22 01:13:03.000000,2.0,3285.0,3285.0,,,,,,,,3.0,38.0,,,,,,,,,,,,,,,,,,,,\n621,DELTA,Delta-ML/delta,,nlp,https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57.000000,2021-07-14 14:10:52.025857,2020-12-17 06:57:15.000000,292,5.0,71.0,1432.0,932.0,DELTA is a deep learning based natural language and speech processing platform.,41.0,20,True,2020-07-16 09:31:45.000000,0.3.3,4.0,delta-nlp,,zh794390558/delta,,['tensorflow'],,,https://pypi.org/project/delta-nlp,2020-03-27 04:46:19.000000,,27.0,525.0,,,,https://hub.docker.com/r/zh794390558/delta,2021-07-14 14:10:52.025857,,12958.0,3.0,,,,,,,,,,,,,,,,,,,,,\n622,DLTK,DLTK/DLTK,,medical-data,https://github.com/DLTK/DLTK,https://github.com/DLTK/DLTK,Apache-2.0,2017-05-02 15:40:36.000000,2021-01-15 01:31:30.000000,2019-01-21 14:01:28.000000,387,11.0,24.0,1265.0,379.0,Deep Learning Toolkit for Medical Image Analysis.,9.0,20,False,2018-02-26 17:43:57.000000,0.2.1,5.0,dltk,,,,['tensorflow'],20.0,20.0,https://pypi.org/project/dltk,2018-02-26 17:43:57.000000,,197.0,197.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n623,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,,pytorch-utils,https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000000,2021-07-14 14:56:16.000000,2021-07-14 14:56:11.000000,75,3.0,16.0,1048.0,675.0,PyTorch extensions for fast R&D prototyping and Kaggle farming.,5.0,20,True,2021-04-02 10:59:33.000000,0.4.3,21.0,pytorch_toolbelt,,,,['pytorch'],2.0,,https://pypi.org/project/pytorch_toolbelt,2021-04-02 10:59:33.000000,2.0,10619.0,10619.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n624,Sockeye,awslabs/sockeye,,nlp,https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30.000000,2021-07-15 10:01:58.000000,2021-07-14 12:32:09.000000,295,20.0,228.0,1010.0,751.0,Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet.,52.0,20,True,2021-06-17 10:51:22.000000,2.3.17,64.0,sockeye,,,,['mxnet'],2.0,,https://pypi.org/project/sockeye,2021-06-17 10:51:22.000000,2.0,529.0,529.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n625,fairlearn,fairlearn/fairlearn,,interpretability,https://github.com/fairlearn/fairlearn,https://github.com/fairlearn/fairlearn,MIT,2018-05-15 01:51:35.000000,2021-07-15 15:29:26.000000,2021-07-15 08:53:37.000000,232,123.0,160.0,997.0,,A Python package to assess and improve fairness of machine learning models.,50.0,20,True,2021-07-07 08:16:09.000000,0.7.0,16.0,fairlearn,conda-forge/fairlearn,,,['sklearn'],2.0,,https://pypi.org/project/fairlearn,2021-07-07 05:54:23.000000,2.0,17470.0,18256.0,https://anaconda.org/conda-forge/fairlearn,2021-07-07 15:56:16.605000,13371.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n626,pyts,johannfaouzi/pyts,,time-series-data,https://github.com/johannfaouzi/pyts,https://github.com/johannfaouzi/pyts,BSD-3-Clause,2017-07-31 09:23:16.000000,2021-05-26 11:15:05.000000,2021-05-26 11:15:03.000000,104,28.0,19.0,994.0,,A Python package for time series classification.,9.0,20,True,2020-03-21 12:41:33.000000,0.11.0,17.0,pyts,conda-forge/pyts,,,,133.0,129.0,https://pypi.org/project/pyts,2020-03-21 12:36:40.000000,4.0,16467.0,16814.0,https://anaconda.org/conda-forge/pyts,2020-03-21 14:08:24.734000,7987.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n627,TensorNets,taehoonlee/tensornets,,tensorflow-utils,https://github.com/taehoonlee/tensornets,https://github.com/taehoonlee/tensornets,MIT,2017-09-19 05:19:01.000000,2021-01-02 06:28:10.000000,2021-01-02 06:26:24.000000,184,14.0,42.0,990.0,284.0,High level network definitions with pre-trained weights in TensorFlow.,6.0,20,True,2020-03-31 04:38:27.000000,0.4.6,12.0,tensornets,,,,['tensorflow'],43.0,39.0,https://pypi.org/project/tensornets,2020-03-31 04:35:15.000000,4.0,175.0,175.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n628,fastFM,ibayer/fastFM,,recommender-systems,https://github.com/ibayer/fastFM,https://github.com/ibayer/fastFM,BSD-3-Clause,2014-10-27 12:25:51.000000,2021-03-24 12:22:31.000000,2021-03-24 12:22:31.000000,186,44.0,59.0,923.0,297.0,fastFM: A Library for Factorization Machines.,20.0,20,True,2017-11-23 06:59:56.000000,0.2.11,10.0,fastfm,,,,,91.0,83.0,https://pypi.org/project/fastfm,2017-11-23 06:59:56.000000,8.0,671.0,676.0,,,,,,,,3.0,389.0,,,,,,,,,,,,,,,,,,,,\n629,DALEX,ModelOriented/DALEX,,interpretability,https://github.com/ModelOriented/DALEX,https://github.com/ModelOriented/DALEX,GPL-3.0,2018-02-18 03:24:12.000000,2021-07-13 18:13:08.000000,2021-07-13 18:13:06.000000,116,13.0,285.0,859.0,568.0,moDel Agnostic Language for Exploration and eXplanation.,19.0,20,False,2021-05-31 21:17:29.000000,1.2.0,20.0,dalex,,,,,17.0,17.0,https://pypi.org/project/dalex,2021-05-31 21:17:29.000000,0.0,6662.0,6662.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n630,mrq,pricingassistant/mrq,,data-pipelines,https://github.com/pricingassistant/mrq,https://github.com/pricingassistant/mrq,MIT,2014-02-13 09:32:40.000000,2021-05-19 17:32:27.000000,2020-12-13 18:58:15.000000,113,59.0,119.0,844.0,709.0,Mr. Queue - A distributed worker task queue in Python using Redis & gevent.,37.0,20,True,2018-08-31 16:03:04.000000,0.9.10,70.0,mrq,,,,,35.0,23.0,https://pypi.org/project/mrq,2018-08-31 16:03:04.000000,12.0,441.0,441.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n631,nude.py,hhatto/nude.py,,image,https://github.com/hhatto/nude.py,https://github.com/hhatto/nude.py,MIT,2013-06-09 06:55:55.000000,2020-11-23 13:49:32.000000,2020-11-23 13:49:02.000000,132,7.0,2.0,804.0,79.0,Nudity detection with Python.,12.0,20,True,2020-11-23 13:49:17.000000,0.5.1,10.0,nudepy,,,,,519.0,501.0,https://pypi.org/project/nudepy,2020-11-23 13:49:17.000000,18.0,3456.0,3456.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n632,TensorFrames,databricks/tensorframes,,distributed-ml,https://github.com/databricks/tensorframes,https://github.com/databricks/tensorframes,Apache-2.0,2016-03-04 19:25:19.000000,2021-05-21 14:50:19.000000,2019-11-15 21:43:53.000000,156,51.0,43.0,763.0,221.0,[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark.,16.0,20,False,2018-11-16 20:50:02.000000,0.6.0,6.0,tensorframes,,,,\"['tensorflow', 'spark']\",1.0,,https://pypi.org/project/tensorframes,2018-05-16 14:20:28.000000,1.0,15128.0,15128.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n633,AstroML,astroML/astroML,,others,https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50.000000,2021-06-30 15:57:42.000000,2021-04-07 06:12:17.000000,271,53.0,84.0,761.0,,\"Machine learning, statistics, and data mining for astronomy and astrophysics.\",30.0,20,True,2019-10-02 06:32:58.000000,0.4.1,10.0,astroML,conda-forge/astroml,,,['sklearn'],29.0,,https://pypi.org/project/astroML,2020-03-23 23:20:49.000000,29.0,1405.0,1924.0,https://anaconda.org/conda-forge/astroml,2020-02-16 04:18:54.678000,24411.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n634,NGT,yahoojapan/NGT,,nn-search,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000000,2021-07-15 06:52:25.000000,2021-07-15 06:52:25.000000,76,7.0,74.0,758.0,131.0,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,12.0,20,True,2021-03-12 02:52:55.000000,1.13.5,49.0,ngt,,,,,6.0,,https://pypi.org/project/ngt,2020-09-23 06:52:45.000000,6.0,11760.0,11760.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n635,YouTokenToMe,vkcom/youtokentome,,nlp,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28.000000,2021-01-28 23:05:01.000000,2021-01-28 19:04:09.000000,48,24.0,22.0,751.0,79.0,Unsupervised text tokenizer focused on computational efficiency.,6.0,20,True,2020-02-13 09:57:47.000000,1.0.6,14.0,youtokentome,,,,,148.0,136.0,https://pypi.org/project/youtokentome,2020-02-12 18:24:46.000000,12.0,16443.0,16443.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n636,Saliency,PAIR-code/saliency,,tensorflow-utils,https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35.000000,2021-06-22 15:29:23.000000,2021-06-21 14:03:32.000000,156,17.0,12.0,691.0,77.0,\"Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).\",14.0,20,True,2021-05-03 16:33:29.000000,0.1.3,10.0,saliency,,,,['tensorflow'],18.0,16.0,https://pypi.org/project/saliency,2021-05-03 16:33:29.000000,2.0,692.0,692.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n637,NearPy,pixelogik/NearPy,,nn-search,https://github.com/pixelogik/NearPy,https://github.com/pixelogik/NearPy,MIT,2013-04-25 09:10:26.000000,2020-02-17 20:24:08.000000,2018-10-21 17:54:28.000000,139,24.0,38.0,681.0,159.0,\"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..\",18.0,20,False,2016-09-27 13:04:44.000000,1.0.0,8.0,NearPy,,,,,69.0,53.0,https://pypi.org/project/NearPy,2016-09-27 13:03:12.000000,16.0,3263.0,3263.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n638,PFRL,pfnet/pfrl,,reinforcement-learning,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50.000000,2021-07-07 02:48:20.000000,2021-07-07 02:39:27.000000,81,22.0,29.0,653.0,382.0,PFRL: a PyTorch-based deep reinforcement learning library.,14.0,20,True,2021-07-07 02:43:23.000000,0.3.0,5.0,pfrl,,,,,15.0,15.0,https://pypi.org/project/pfrl,2021-07-07 02:48:20.000000,0.0,695.0,695.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n639,finetune,IndicoDataSolutions/finetune,,nlp,https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16.000000,2021-07-13 17:44:21.000000,2021-07-13 17:44:21.000000,68,21.0,115.0,649.0,1201.0,Scikit-learn style model finetuning for NLP.,19.0,20,True,2020-01-10 22:42:24.000000,0.8.6,37.0,finetune,,,,\"['tensorflow', 'sklearn']\",11.0,9.0,https://pypi.org/project/finetune,2020-01-10 22:42:24.000000,2.0,180.0,180.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n640,bambi,bambinos/bambi,,probabilistics,https://github.com/bambinos/bambi,https://github.com/bambinos/bambi,MIT,2016-05-16 03:21:00.000000,2021-07-15 13:59:21.000000,2021-07-13 15:51:59.000000,55,31.0,154.0,630.0,575.0,BAyesian Model-Building Interface (Bambi) in Python.,17.0,20,True,2021-05-16 23:07:43.000000,0.5.0,13.0,bambi,,,,,16.0,13.0,https://pypi.org/project/bambi,2021-05-16 23:07:43.000000,3.0,653.0,653.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n641,RLax,deepmind/rlax,,reinforcement-learning,https://github.com/deepmind/rlax,https://github.com/deepmind/rlax,Apache-2.0,2020-02-18 07:14:59.000000,2021-07-08 18:31:19.000000,2021-07-08 18:27:05.000000,46,7.0,6.0,628.0,118.0,A library of reinforcement learning building blocks in JAX.,12.0,20,True,2021-07-08 18:31:19.000000,0.0.4,4.0,rlax,,,,['jax'],20.0,20.0,https://pypi.org/project/rlax,2020-02-19 23:01:30.000000,,1294.0,1294.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n642,Objax,google/objax,,ml-frameworks,https://github.com/google/objax,https://github.com/google/objax,Apache-2.0,2020-08-20 06:20:40.000000,2021-06-16 14:14:50.000000,2021-04-21 22:04:16.000000,50,40.0,54.0,622.0,411.0,Objax is a machine learning framework that provides an Object Oriented layer for JAX.,20.0,20,True,2021-04-01 00:14:18.000000,1.4.0,7.0,objax,,,,['jax'],13.0,13.0,https://pypi.org/project/objax,2021-04-01 00:02:37.000000,0.0,758.0,758.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n643,Orbit,uber/orbit,,probabilistics,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000000,2021-07-14 21:32:59.000000,2021-07-14 21:28:18.000000,43,19.0,189.0,591.0,619.0,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,11.0,20,True,2021-04-03 01:15:52.000000,1.0.13,12.0,orbit-ml,,,,,4.0,4.0,https://pypi.org/project/orbit-ml,2021-04-03 01:15:52.000000,,3962.0,3962.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n644,DiCE,interpretml/DiCE,,interpretability,https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000000,2021-07-09 06:11:23.000000,2021-07-09 06:11:23.000000,78,26.0,38.0,586.0,402.0,Generate Diverse Counterfactual Explanations for any machine learning model.,11.0,20,True,2021-05-10 16:05:55.000000,0.6.1,5.0,dice-ml,,,,\"['tensorflow', 'pytorch']\",0.0,,https://pypi.org/project/dice-ml,2021-05-10 16:05:55.000000,0.0,11122.0,11122.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n645,scikit-lego,koaning/scikit-lego,,sklearn-utils,https://github.com/koaning/scikit-lego,https://github.com/koaning/scikit-lego,MIT,2019-01-21 15:30:15.000000,2021-07-03 14:39:23.330000,2021-07-03 12:36:19.000000,74,25.0,198.0,546.0,,Extra blocks for scikit-learn pipelines.,47.0,20,True,2021-07-03 12:36:43.000000,0.6.8,34.0,scikit-lego,conda-forge/scikit-lego,,,['sklearn'],28.0,28.0,https://pypi.org/project/scikit-lego,2021-07-03 12:38:43.000000,0.0,7335.0,7923.0,https://anaconda.org/conda-forge/scikit-lego,2021-07-03 14:39:23.330000,12366.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n646,pyhsmm,mattjj/pyhsmm,,probabilistics,https://github.com/mattjj/pyhsmm,https://github.com/mattjj/pyhsmm,MIT,2012-03-18 17:40:13.000000,2020-09-29 20:58:26.000000,2020-08-24 17:03:59.000000,159,39.0,60.0,493.0,1426.0,Bayesian inference in HSMMs and HMMs.,13.0,20,True,2017-05-10 17:14:37.000000,0.1.7,8.0,pyhsmm,,,,,28.0,20.0,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37.000000,8.0,198.0,198.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n647,Poutyne,GRAAL-Research/poutyne,,pytorch-utils,https://github.com/GRAAL-Research/poutyne,https://github.com/GRAAL-Research/poutyne,LGPL-3.0,2017-12-07 18:30:17.000000,2021-07-13 14:10:50.000000,2021-06-09 17:53:33.000000,51,7.0,38.0,483.0,571.0,A simplified framework and utilities for PyTorch.,16.0,20,False,2021-05-22 14:42:18.000000,1.5,22.0,poutyne,,,,['pytorch'],65.0,61.0,https://pypi.org/project/poutyne,2021-05-22 14:42:36.000000,4.0,6957.0,6957.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n648,HpBandSter,automl/HpBandSter,,hyperopt,https://github.com/automl/HpBandSter,https://github.com/automl/HpBandSter,BSD-3-Clause,2017-12-17 20:28:20.000000,2021-01-31 10:05:37.000000,2019-03-26 09:26:28.000000,101,57.0,35.0,478.0,187.0,a distributed Hyperband implementation on Steroids.,11.0,20,False,2019-07-30 12:47:43.000000,1.0,8.0,hpbandster,,,,,165.0,149.0,https://pypi.org/project/hpbandster,2018-11-06 12:56:55.000000,16.0,23533.0,23533.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n649,N2,kakao/n2,,nn-search,https://github.com/kakao/n2,https://github.com/kakao/n2,Apache-2.0,2017-11-23 02:27:59.000000,2021-05-20 05:41:36.000000,2021-05-20 05:39:44.000000,50,17.0,22.0,477.0,242.0,TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets.,18.0,20,True,2020-10-16 03:43:47.000000,0.1.7,9.0,n2,,,,,20.0,16.0,https://pypi.org/project/n2,2020-10-16 03:10:01.000000,4.0,2658.0,2658.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n650,PyKEEN,pykeen/pykeen,,graph,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000000,2021-07-14 07:43:34.000000,2021-07-03 21:11:58.000000,71,81.0,151.0,473.0,2427.0,A Python library for learning and evaluating knowledge graph embeddings.,19.0,20,True,2021-06-13 21:50:49.000000,1.5.0,36.0,pykeen,,,,,2.0,,https://pypi.org/project/pykeen,2021-06-13 21:46:17.000000,2.0,1097.0,1104.0,,,,,,,,3.0,92.0,,,,,,,,,,,,,,,,,,,,\n651,PyWaffle,gyli/PyWaffle,,data-viz,https://github.com/gyli/PyWaffle,https://github.com/gyli/PyWaffle,MIT,2017-11-14 20:03:47.000000,2020-07-26 23:22:17.000000,2020-07-26 23:22:13.000000,70,2.0,10.0,435.0,249.0,Make Waffle Charts in Python.,6.0,20,True,2020-07-26 19:16:45.000000,0.6.1,22.0,pywaffle,,,,,77.0,77.0,https://pypi.org/project/pywaffle,2020-07-26 19:16:45.000000,,1861.0,1861.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n652,kale,kubeflow-kale/kale,,data-pipelines,https://github.com/kubeflow-kale/kale,https://github.com/kubeflow-kale/kale,Apache-2.0,2019-01-24 17:58:44.000000,2021-07-14 07:14:19.000000,2021-05-19 12:47:47.000000,74,83.0,61.0,401.0,641.0,Kubeflows superfood for Data Scientists.,10.0,20,True,2021-05-19 12:56:53.000000,0.7.0,15.0,kubeflow-kale,,,,['jupyter'],9.0,9.0,https://pypi.org/project/kubeflow-kale,2021-05-19 12:56:53.000000,,1590.0,1590.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n653,pydlm,wwrechard/pydlm,,time-series-data,https://github.com/wwrechard/pydlm,https://github.com/wwrechard/pydlm,BSD-3-Clause,2016-06-29 07:58:53.000000,2021-02-24 14:21:28.000000,2019-10-22 07:18:40.000000,86,35.0,8.0,396.0,362.0,A python library for Bayesian time series modeling.,6.0,20,False,2016-11-06 01:43:35.000000,0.1.1,13.0,pydlm,,,,,23.0,21.0,https://pypi.org/project/pydlm,2018-12-19 10:27:54.000000,2.0,21781.0,21781.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n654,DESlib,scikit-learn-contrib/DESlib,,sklearn-utils,https://github.com/scikit-learn-contrib/DESlib,https://github.com/scikit-learn-contrib/DESlib,BSD-3-Clause,2017-12-08 22:49:49.000000,2021-04-09 04:41:52.000000,2021-04-09 04:41:45.000000,73,14.0,127.0,337.0,272.0,A Python library for dynamic classifier and ensemble selection.,13.0,20,True,2021-02-08 06:29:25.000000,0.3.5,4.0,deslib,,,,['sklearn'],21.0,21.0,https://pypi.org/project/deslib,2021-02-08 06:29:25.000000,0.0,2041.0,2041.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n655,impyute,eltonlaw/impyute,,others,https://github.com/eltonlaw/impyute,https://github.com/eltonlaw/impyute,MIT,2017-01-21 09:16:27.000000,2020-06-12 21:08:40.000000,2019-10-05 20:39:08.000000,42,27.0,36.0,279.0,289.0,Data imputations library to preprocess datasets with missing data.,10.0,20,False,2019-04-29 02:31:32.000000,0.0.8,8.0,impyute,,,,,106.0,102.0,https://pypi.org/project/impyute,2019-04-29 02:31:32.000000,4.0,1826.0,1826.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n656,SUOD,yzhao062/SUOD,,others,https://github.com/yzhao062/SUOD,https://github.com/yzhao062/SUOD,BSD-2-Clause,2019-11-20 00:23:54.000000,2021-01-19 14:42:08.000000,2021-01-19 14:42:01.000000,31,3.0,2.0,275.0,134.0,(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection).,1.0,20,False,2021-01-15 02:12:04.000000,0.0.6,7.0,suod,,,,,346.0,346.0,https://pypi.org/project/suod,2021-01-15 02:12:04.000000,,38679.0,38679.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n657,EarthPy,earthlab/earthpy,,geospatial-data,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000000,2021-07-14 20:06:37.000000,2021-07-01 19:57:43.000000,110,19.0,205.0,269.0,,A package built to support working with spatial data using open source python.,40.0,20,False,2020-06-18 23:58:08.000000,0.9.2,22.0,earthpy,conda-forge/earthpy,,,,103.0,97.0,https://pypi.org/project/earthpy,2020-06-18 23:58:08.000000,6.0,3345.0,4602.0,https://anaconda.org/conda-forge/earthpy,2020-06-19 15:23:44.425000,33952.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n658,quinn,MrPowers/quinn,,ml-experiments,https://github.com/MrPowers/quinn,https://github.com/MrPowers/quinn,Apache-2.0,2017-09-15 13:02:42.000000,2021-03-27 14:31:44.000000,2021-02-09 04:48:07.000000,29,17.0,9.0,261.0,110.0,pyspark methods to enhance developer productivity.,6.0,20,False,2021-02-06 15:21:04.000000,0.9.0,12.0,quinn,,,,['spark'],6.0,,https://pypi.org/project/quinn,2021-02-06 15:21:04.000000,6.0,411868.0,411868.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n659,chefboost,serengil/chefboost,,ml-frameworks,https://github.com/serengil/chefboost,https://github.com/serengil/chefboost,MIT,2019-03-06 12:26:27.000000,2021-06-29 13:35:23.000000,2021-06-29 13:35:23.000000,63,,13.0,261.0,316.0,\"A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some..\",5.0,20,False,2021-06-28 19:23:52.000000,0.0.13,13.0,chefboost,,,,,12.0,12.0,https://pypi.org/project/chefboost,2021-06-28 19:23:52.000000,,537.0,537.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n660,Brainiak,brainiak/brainiak,,medical-data,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27.000000,2021-05-28 01:21:58.000000,2021-05-28 01:21:58.000000,113,68.0,120.0,247.0,393.0,Brain Imaging Analysis Kit.,33.0,20,False,2019-08-27 23:52:29.000000,0.9.1,15.0,brainiak,,brainiak/brainiak,,,14.0,13.0,https://pypi.org/project/brainiak,2020-10-15 20:45:08.000000,1.0,301.0,310.0,,,,https://hub.docker.com/r/brainiak/brainiak,2020-10-15 21:11:03.379549,1.0,620.0,3.0,,,,,,,,,,,,,,,,,,,,,\n661,ivis,beringresearch/ivis,,data-viz,https://github.com/beringresearch/ivis,https://github.com/beringresearch/ivis,Apache-2.0,2018-08-13 08:31:01.000000,2021-07-15 05:48:28.000000,2021-07-12 14:21:39.000000,25,3.0,46.0,240.0,596.0,Dimensionality reduction in very large datasets using Siamese Networks.,9.0,20,False,2021-07-13 05:59:35.000000,2.0.5,31.0,ivis,,,,['tensorflow'],15.0,15.0,https://pypi.org/project/ivis,2021-07-13 05:55:01.000000,0.0,559.0,559.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n662,Glow,projectglow/glow,,medical-data,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47.000000,2021-07-08 00:21:37.000000,2021-07-08 00:21:37.000000,46,30.0,65.0,170.0,329.0,An open-source toolkit for large-scale genomic analysis.,14.0,20,False,2021-04-28 00:07:10.000000,1.0.1,11.0,glow.py,,,,,,,https://pypi.org/project/glow.py,2021-04-28 00:05:18.000000,,33484.0,33484.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n663,nvidia-ml-py3,nicolargo/nvidia-ml-py3,,gpu-utilities,https://github.com/nicolargo/nvidia-ml-py3,https://github.com/nicolargo/nvidia-ml-py3,BSD-3-Clause,2017-06-03 07:47:03.000000,2019-03-06 20:41:10.000000,2019-03-06 20:41:09.000000,15,2.0,,68.0,5.0,Python 3 Bindings for the NVIDIA Management Library.,2.0,20,False,2017-06-03 07:43:46.000000,7.352.0,1.0,nvidia-ml-py3,,,,,3865.0,3645.0,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46.000000,220.0,614934.0,614934.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n664,TTS,mozilla/TTS,,audio,https://github.com/mozilla/TTS,https://github.com/mozilla/TTS,MPL-2.0,2018-01-23 14:22:06.000000,2021-06-10 11:11:38.000000,2021-02-12 10:36:31.000000,802,20.0,488.0,4884.0,2184.0,Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts).,56.0,19,True,2021-01-29 00:03:56.000000,0.0.9,1.0,,,,,,,,,,,,136.0,,,,,,,,3.0,821.0,,,,,,,,,,,,,,,,,,,,\n665,AugLy,facebookresearch/AugLy,,others,https://github.com/facebookresearch/AugLy,https://github.com/facebookresearch/AugLy,MIT,2021-06-09 17:57:28.000000,2021-07-12 08:59:43.000000,2021-07-12 08:52:47.000000,153,9.0,21.0,3571.0,,\"A data augmentations library for audio, image, text, and video.\",5.0,19,True,2021-07-09 08:21:04.000000,0.1.5,10.0,augly,,,,,3.0,3.0,https://pypi.org/project/augly,2021-07-08 15:36:10.000000,,3012.0,3012.0,,,,,,,,3.0,,,,,,,,2.0,,,,,,,,,,,,,\n666,Crypto Signals,CryptoSignal/crypto-signal,,financial-data,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24.000000,2021-07-07 16:32:22.000000,2021-06-28 16:44:17.000000,838,43.0,196.0,3230.0,564.0,\"Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 2,100 + stars, 580 + forks.\",28.0,19,True,,,,,,shadowreaver/crypto-signal,,,,,,,,,2988.0,,,,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133,7.0,137482.0,3.0,,,,,,,,,,,,,,,,,,,,,\n667,BytePS,bytedance/byteps,,distributed-ml,https://github.com/bytedance/byteps,https://github.com/bytedance/byteps,Apache-2.0,2019-06-25 07:00:13.000000,2021-07-10 16:28:21.000000,2021-06-26 07:59:51.000000,396,90.0,150.0,2884.0,418.0,A high performance and generic framework for distributed DNN training.,19.0,19,True,2020-08-27 15:42:13.000000,0.2.4,7.0,byteps,,bytepsimage/tensorflow,,,,,https://pypi.org/project/byteps,2020-11-04 00:05:46.000000,,269.0,314.0,,,,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,1130.0,3.0,,,,,,,,,,,,,,,,,,,,,\n668,image-match,ProvenanceLabs/image-match,,image,https://github.com/ProvenanceLabs/image-match,https://github.com/ProvenanceLabs/image-match,Apache-2.0,2016-03-08 18:16:45.000000,2021-01-04 18:36:01.000000,2021-01-04 18:35:59.000000,371,45.0,48.0,2597.0,404.0,Quickly search over billions of images.,18.0,19,True,2017-02-13 14:54:48.000000,1.1.2,10.0,image_match,,,,,6.0,,https://pypi.org/project/image_match,2017-02-13 14:54:48.000000,6.0,894.0,894.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n669,StreamAlert,airbnb/streamalert,,others,https://github.com/airbnb/streamalert,https://github.com/airbnb/streamalert,Apache-2.0,2017-01-22 01:10:56.000000,2021-06-02 03:48:19.000000,2021-02-10 05:03:05.000000,298,88.0,249.0,2556.0,1893.0,\"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data..\",31.0,19,True,2020-10-05 21:50:56.000000,3.4.1,27.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n670,Apache Singa,apache/singa,,distributed-ml,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000000,2021-07-12 11:02:09.000000,2021-07-11 13:19:16.000000,642,40.0,38.0,2308.0,2349.0,a distributed deep learning platform.,76.0,19,True,2020-04-21 08:01:08.000000,3.0.0,14.0,,nusdbsystem/singa,apache/singa,,,1.0,1.0,,,,,7.0,https://anaconda.org/nusdbsystem/singa,2021-07-11 12:43:37.697000,273.0,https://hub.docker.com/r/apache/singa,2019-06-04 04:32:52.195956,2.0,173.0,3.0,,,,,,,,,,,,,,,,,,,,,\n671,pdftabextract,WZBSocialScienceCenter/pdftabextract,,ocr,https://github.com/WZBSocialScienceCenter/pdftabextract,https://github.com/WZBSocialScienceCenter/pdftabextract,Apache-2.0,2016-07-08 11:44:46.000000,2020-12-28 00:52:23.000000,2018-10-26 13:57:02.000000,336,3.0,18.0,1934.0,168.0,A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.,2.0,19,False,2018-01-09 08:00:24.000000,0.3.0,5.0,pdftabextract,,,,,38.0,37.0,https://pypi.org/project/pdftabextract,2018-01-09 08:00:24.000000,1.0,917.0,917.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n672,Coqui TTS,coqui-ai/TTS,,audio,https://github.com/coqui-ai/TTS,https://github.com/coqui-ai/TTS,MPL-2.0,2020-05-20 15:45:28.000000,2021-07-15 09:38:53.000000,2021-07-06 12:44:59.000000,138,16.0,85.0,1896.0,,\"- a deep learning toolkit for Text-to-Speech, battle-tested in research and production.\",74.0,19,True,2021-07-06 13:26:09.000000,0.1.2,11.0,tts,,,,\"['pytorch', 'tensorflow']\",,,https://pypi.org/project/tts,2017-07-14 20:02:42.000000,,2716.0,6178.0,,,,,,,,3.0,13848.0,,,,,,,,,,,,,,,,,,,,\n673,River,online-ml/river,,others,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000000,2021-07-12 16:14:35.000000,2021-06-29 19:11:12.000000,223,25.0,286.0,1748.0,3134.0,Online machine learning in Python.,65.0,19,True,,,,,,,,,28.0,28.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n674,NeuroNER,Franck-Dernoncourt/NeuroNER,,nlp,https://github.com/Franck-Dernoncourt/NeuroNER,https://github.com/Franck-Dernoncourt/NeuroNER,MIT,2017-03-07 01:24:15.000000,2021-05-21 15:20:14.000000,2019-10-02 23:26:11.000000,442,81.0,67.0,1561.0,132.0,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,7.0,19,False,2019-10-02 23:30:15.000000,1.0.8,7.0,pyneuroner,,,,,10.0,10.0,https://pypi.org/project/pyneuroner,2019-10-02 23:30:15.000000,,90.0,90.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n675,Neural Tangents,google/neural-tangents,,ml-frameworks,https://github.com/google/neural-tangents,https://github.com/google/neural-tangents,Apache-2.0,2019-04-08 16:48:48.000000,2021-06-29 21:13:20.000000,2021-06-29 21:13:12.000000,160,28.0,60.0,1484.0,,Fast and Easy Infinite Neural Networks in Python.,19.0,19,True,2021-01-25 23:20:02.000000,0.3.6,20.0,neural-tangents,,,,,20.0,20.0,https://pypi.org/project/neural-tangents,2021-01-25 23:06:16.000000,0.0,410.0,420.0,,,,,,,,3.0,133.0,,,,,,,,,,,,,,,,,,,,\n676,ThunderSVM,Xtra-Computing/thundersvm,,ml-frameworks,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04.000000,2021-02-10 05:12:44.000000,2021-02-10 05:12:44.000000,173,51.0,146.0,1323.0,902.0,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,33.0,19,True,2020-03-13 12:36:30.000000,0.3.12,9.0,thundersvm,,,,,,,https://pypi.org/project/thundersvm,2020-03-13 12:36:30.000000,,636.0,675.0,,,,,,,,3.0,2220.0,,,,,,,,,,,,,,,,,,,,\n677,Haiku,deepmind/dm-haiku,,ml-frameworks,https://github.com/deepmind/dm-haiku,https://github.com/deepmind/dm-haiku,Apache-2.0,2020-02-18 07:14:02.000000,2021-07-15 13:42:02.000000,2021-07-15 13:41:52.000000,86,23.0,73.0,1196.0,,JAX-based neural network library.,43.0,19,True,2021-04-12 13:12:13.000000,0.0.4,6.0,,,,,,122.0,122.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n678,Paddle Graph Learning,PaddlePaddle/PGL,,graph,https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28.000000,2021-07-15 05:30:41.000000,2021-07-13 07:58:47.000000,161,31.0,47.0,1073.0,,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,17.0,19,True,2021-07-10 15:12:05.000000,2.1.5,13.0,pgl,,,,['paddle'],19.0,17.0,https://pypi.org/project/pgl,2021-07-10 15:12:05.000000,2.0,887.0,887.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n679,Norfair,tryolabs/norfair,,image,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000000,2021-06-10 17:13:45.000000,2021-06-10 17:13:44.000000,77,8.0,25.0,1054.0,278.0,Lightweight Python library for adding real-time 2D object tracking to any detector.,9.0,19,True,2021-05-31 21:03:19.000000,0.3.0,11.0,norfair,,,,,,,https://pypi.org/project/norfair,2021-05-31 21:03:19.000000,,2100.0,2100.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n680,Skater,oracle/Skater,,interpretability,https://github.com/oracle/Skater,https://github.com/oracle/Skater,UPL-1.0,2017-01-26 05:45:42.000000,2020-11-01 15:57:12.273000,2020-06-29 20:07:12.000000,163,69.0,97.0,986.0,1101.0,Python Library for Model Interpretation/Explanations.,34.0,19,False,2018-09-21 07:03:32.000000,1.1.2,23.0,skater,conda-forge/skater,,,,,,https://pypi.org/project/skater,2018-09-21 07:03:32.000000,,2699.0,3552.0,https://anaconda.org/conda-forge/skater,2020-11-01 15:57:12.273000,41802.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n681,Databolt Flow,d6t/d6tflow,,data-pipelines,https://github.com/d6t/d6tflow,https://github.com/d6t/d6tflow,MIT,2019-02-03 01:51:22.000000,2021-04-28 04:27:05.000000,2021-04-28 04:27:05.000000,67,8.0,13.0,921.0,241.0,Python library for building highly effective data science workflows.,12.0,19,True,2021-03-17 03:43:31.000000,0.2.3,20.0,d6tflow,,,,,13.0,13.0,https://pypi.org/project/d6tflow,2021-03-17 03:43:31.000000,,289.0,289.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n682,Fiber,uber/fiber,,distributed-ml,https://github.com/uber/fiber,https://github.com/uber/fiber,Apache-2.0,2020-01-07 18:16:24.000000,2021-06-30 02:02:42.000000,2021-03-15 07:00:08.000000,102,20.0,8.0,912.0,66.0,Distributed Computing for AI Made Simple.,5.0,19,True,2020-07-09 03:28:28.000000,0.2.1,6.0,fiber,,,,,29.0,28.0,https://pypi.org/project/fiber,2020-07-09 03:28:28.000000,1.0,1463.0,1463.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n683,advertorch,BorealisAI/advertorch,,adversarial,https://github.com/BorealisAI/advertorch,https://github.com/BorealisAI/advertorch,GPL-3.0,2018-11-29 22:17:33.000000,2021-07-02 22:54:44.000000,2020-06-15 01:16:18.000000,140,15.0,30.0,887.0,270.0,A Toolbox for Adversarial Robustness Research.,16.0,19,False,2020-06-15 01:20:07.000000,0.2.3,10.0,advertorch,,,,['pytorch'],50.0,44.0,https://pypi.org/project/advertorch,2020-06-15 01:20:07.000000,6.0,900.0,900.0,,,,,,,,3.0,,,,,,,,-1.0,,,,,,,,,,,,,\n684,graph4nlp,graph4ai/graph4nlp,,graph,https://github.com/graph4ai/graph4nlp,https://github.com/graph4ai/graph4nlp,Apache-2.0,2020-07-16 03:28:48.000000,2021-07-15 09:19:56.000000,2021-07-10 21:14:23.000000,96,2.0,62.0,883.0,1381.0,Graph4nlp is the library for the easy use of Graph Neural Networks for NLP.,19.0,19,True,2021-06-15 16:00:17.000000,0.4.1-alpha,9.0,graph4nlp,,,,['pytorch'],,,https://pypi.org/project/graph4nlp,2021-06-06 14:20:47.000000,,180.0,180.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n685,pytorch_geometric_temporal,benedekrozemberczki/pytorch_geometric_temporal,,graph,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,MIT,2020-06-27 01:11:33.000000,2021-07-13 21:33:19.000000,2021-07-13 21:27:01.000000,112,2.0,42.0,870.0,1693.0,A Temporal Extension Library for PyTorch Geometric.,11.0,19,True,2021-07-13 21:33:19.000000,_00038,36.0,torch-geometric-temporal,,,,['pytorch'],,,https://pypi.org/project/torch-geometric-temporal,2021-07-13 21:28:04.000000,,1606.0,1606.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n686,calamari,Calamari-OCR/calamari,,ocr,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,Apache-2.0,2018-03-20 15:22:29.000000,2021-07-09 13:47:27.000000,2021-07-01 14:19:49.000000,178,33.0,181.0,846.0,386.0,Line based ATR Engine based on OCRopy.,18.0,19,True,2021-05-30 10:58:28.000000,2.1.2,28.0,calamari_ocr,,,,,2.0,,https://pypi.org/project/calamari_ocr,2018-11-13 11:24:45.000000,2.0,983.0,983.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n687,tffm,geffy/tffm,,tensorflow-utils,https://github.com/geffy/tffm,https://github.com/geffy/tffm,MIT,2016-05-02 17:06:07.000000,2020-05-22 21:40:58.000000,2020-05-22 21:40:57.000000,176,17.0,21.0,765.0,106.0,TensorFlow implementation of an arbitrary order Factorization Machine.,10.0,19,False,2018-01-27 11:43:26.000000,1.0.1,2.0,tffm,,,,['tensorflow'],12.0,11.0,https://pypi.org/project/tffm,2018-01-27 11:43:26.000000,1.0,2029.0,2029.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n688,Hivemind,learning-at-home/hivemind,,distributed-ml,https://github.com/learning-at-home/hivemind,https://github.com/learning-at-home/hivemind,MIT,2020-02-27 13:50:19.000000,2021-07-15 15:05:49.000000,2021-07-15 15:00:45.000000,42,43.0,51.0,723.0,389.0,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,17.0,19,True,2021-06-22 21:50:15.000000,0.9.9,12.0,hivemind,,,,,4.0,3.0,https://pypi.org/project/hivemind,2021-06-22 22:57:34.000000,1.0,273.0,273.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n689,pytorch2keras,gmalivenko/pytorch2keras,,model-serialisation,https://github.com/gmalivenko/pytorch2keras,https://github.com/gmalivenko/pytorch2keras,MIT,2017-11-16 20:21:43.000000,2021-05-09 08:11:50.000000,2021-05-09 08:06:07.000000,117,49.0,66.0,719.0,278.0,PyTorch to Keras model convertor.,12.0,19,True,2020-05-14 10:03:56.000000,0.2.4,23.0,pytorch2keras,,,,,25.0,24.0,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56.000000,1.0,887.0,887.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n690,Test Tube,williamFalcon/test-tube,,hyperopt,https://github.com/williamFalcon/test-tube,https://github.com/williamFalcon/test-tube,MIT,2017-09-06 02:14:57.000000,2021-01-17 20:04:39.000000,2020-03-17 22:44:47.000000,63,25.0,21.0,694.0,642.0,Python library to easily log experiments and parallelize hyperparameter search for neural networks.,16.0,19,False,2019-12-01 01:19:36.000000,0.7.5,53.0,test_tube,,,,,5.0,,https://pypi.org/project/test_tube,2018-12-12 22:45:59.000000,5.0,14048.0,14048.0,,,,,,,,3.0,9.0,,,,,,,,,,,,,,,,,,,,\n691,XAI,EthicalML/xai,,interpretability,https://github.com/EthicalML/xai,https://github.com/EthicalML/xai,MIT,2019-01-11 20:00:09.000000,2021-07-05 11:00:43.000000,2021-04-23 07:08:20.000000,101,4.0,3.0,659.0,87.0,XAI - An eXplainability toolbox for machine learning.,3.0,19,True,2019-04-21 14:53:12.000000,0.0.5,5.0,xai,,,,,17.0,11.0,https://pypi.org/project/xai,2019-04-21 14:53:12.000000,6.0,1194.0,1194.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n692,matrixprofile-ts,target/matrixprofile-ts,,time-series-data,https://github.com/target/matrixprofile-ts,https://github.com/target/matrixprofile-ts,Apache-2.0,2018-09-10 19:03:34.000000,2020-04-25 18:38:20.000000,2020-04-25 18:37:42.000000,92,19.0,34.0,639.0,198.0,A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile.,15.0,19,False,2019-08-08 01:24:38.000000,0.0.9,9.0,matrixprofile-ts,,,,,17.0,17.0,https://pypi.org/project/matrixprofile-ts,2019-08-08 01:24:38.000000,,1550.0,1550.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n693,vecstack,vecxoz/vecstack,,others,https://github.com/vecxoz/vecstack,https://github.com/vecxoz/vecstack,MIT,2016-11-08 13:23:21.000000,2020-09-14 08:31:07.000000,2019-10-30 09:27:48.000000,74,,37.0,627.0,189.0,Python package for stacking (machine learning technique).,1.0,19,False,2019-08-12 16:09:01.000000,0.4.0,6.0,vecstack,,,,,147.0,139.0,https://pypi.org/project/vecstack,2019-08-12 16:01:22.000000,8.0,2194.0,2194.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n694,Torchbearer,pytorchbearer/torchbearer,,ml-frameworks,https://github.com/pytorchbearer/torchbearer,https://github.com/pytorchbearer/torchbearer,MIT,2018-03-12 16:30:42.000000,2021-03-26 19:56:57.000000,2021-03-26 19:56:57.000000,66,8.0,237.0,605.0,430.0,torchbearer: A model fitting library for PyTorch.,13.0,19,True,2020-01-31 14:07:22.000000,0.5.3,24.0,torchbearer,,,,['pytorch'],57.0,51.0,https://pypi.org/project/torchbearer,2020-01-31 14:05:56.000000,6.0,991.0,991.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n695,iterative-stratification,trent-b/iterative-stratification,,sklearn-utils,https://github.com/trent-b/iterative-stratification,https://github.com/trent-b/iterative-stratification,BSD-3-Clause,2018-02-04 00:32:10.000000,2020-09-12 15:32:44.000000,2020-09-12 15:35:02.000000,52,2.0,11.0,578.0,47.0,scikit-learn cross validators for iterative stratification of multilabel data.,4.0,19,True,2018-08-12 18:28:50.000000,0.1.6,5.0,iterative-stratification,,,,['sklearn'],163.0,149.0,https://pypi.org/project/iterative-stratification,2018-08-12 18:28:50.000000,14.0,6267.0,6267.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n696,robustness,MadryLab/robustness,,adversarial,https://github.com/MadryLab/robustness,https://github.com/MadryLab/robustness,MIT,2019-08-21 09:26:33.000000,2021-07-14 04:30:15.000000,2021-03-04 15:19:19.000000,103,9.0,52.0,559.0,139.0,\"A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.\",12.0,19,True,2020-12-01 06:11:12.000000,1.2.1.post2,10.0,robustness,,,,,59.0,57.0,https://pypi.org/project/robustness,2020-12-01 06:21:33.000000,2.0,1801.0,1801.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n697,What-If Tool,PAIR-code/what-if-tool,,interpretability,https://github.com/PAIR-code/what-if-tool,https://github.com/PAIR-code/what-if-tool,Apache-2.0,2018-09-07 20:26:10.000000,2021-05-11 09:27:28.000000,2021-03-17 12:46:20.000000,106,38.0,39.0,552.0,319.0,Source code/webpage/demos for the What-If Tool.,19.0,19,True,2021-01-19 14:40:37.214000,1.8.0,38.0,witwidget,,,,,0.0,,https://pypi.org/project/witwidget,2021-01-19 14:40:21.000000,0.0,9625.0,12420.0,,,,,,,,3.0,,,wit-widget,https://www.npmjs.com/package/wit-widget,2021-01-19 14:40:37.214000,,2795.0,,,,,,,,,,,,,,\n698,deeplift,kundajelab/deeplift,,interpretability,https://github.com/kundajelab/deeplift,https://github.com/kundajelab/deeplift,MIT,2016-06-01 02:18:06.000000,2020-11-11 19:56:24.000000,2020-11-11 19:56:23.000000,127,29.0,47.0,545.0,551.0,Public facing deeplift repo.,11.0,19,True,2018-07-13 21:11:52.000000,0.6.6,21.0,deeplift,,,,,53.0,49.0,https://pypi.org/project/deeplift,2020-11-11 09:32:57.000000,4.0,635.0,635.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n699,Caer,jasmcaus/caer,,image,https://github.com/jasmcaus/caer,https://github.com/jasmcaus/caer,MIT,2020-08-06 18:36:14.000000,2021-06-23 00:43:23.000000,2021-05-29 03:10:28.000000,83,3.0,10.0,518.0,4941.0,\"A lightweight Computer Vision library. Scale your models, not boilerplate.\",6.0,19,True,2021-01-28 14:06:10.000000,1.9.8,109.0,caer,,,https://caer.rtfd.io,,0.0,,https://pypi.org/project/caer,2021-01-28 14:06:10.000000,0.0,7352.0,7353.0,,,,,,,,3.0,19.0,,,,,,,-1.0,,,,,,,,,,,,,\n700,tcav,tensorflow/tcav,,interpretability,https://github.com/tensorflow/tcav,https://github.com/tensorflow/tcav,Apache-2.0,2018-07-03 17:45:35.000000,2021-06-08 19:53:23.000000,2021-05-07 12:33:34.000000,113,3.0,51.0,471.0,164.0,Code for the TCAV ML interpretability project.,19.0,19,True,2021-02-23 16:17:42.000000,0.2.2,4.0,tcav,,,,['tensorflow'],11.0,9.0,https://pypi.org/project/tcav,2021-02-23 16:17:42.000000,2.0,112.0,112.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n701,seglearn,dmbee/seglearn,,time-series-data,https://github.com/dmbee/seglearn,https://github.com/dmbee/seglearn,BSD-3-Clause,2018-03-05 20:53:59.000000,2021-03-13 16:18:30.000000,2021-03-12 17:12:50.000000,47,5.0,23.0,464.0,268.0,Python module for machine learning time series:.,13.0,19,True,2021-03-13 16:18:30.000000,1.2.3,22.0,seglearn,,,,,9.0,8.0,https://pypi.org/project/seglearn,2021-03-13 16:18:30.000000,1.0,1394.0,1394.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n702,MXBoard,awslabs/mxboard,,ml-experiments,https://github.com/awslabs/mxboard,https://github.com/awslabs/mxboard,Apache-2.0,2018-02-06 23:03:51.000000,2020-01-24 23:21:56.000000,2020-01-24 23:21:55.000000,46,16.0,15.0,332.0,42.0,Logging MXNet data for visualization in TensorBoard.,9.0,19,False,2018-05-22 20:25:51.000000,0.1.0,12.0,mxboard,,,,['mxnet'],124.0,112.0,https://pypi.org/project/mxboard,2018-05-22 20:25:51.000000,12.0,3150.0,3150.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n703,rrcf,kLabUM/rrcf,,others,https://github.com/kLabUM/rrcf,https://github.com/kLabUM/rrcf,MIT,2018-10-20 05:39:05.000000,2021-01-13 23:05:23.000000,2020-06-10 01:07:39.000000,77,22.0,17.0,320.0,253.0,Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams.,4.0,19,False,2020-06-10 01:53:55.000000,0.4.3,7.0,rrcf,,,,,19.0,19.0,https://pypi.org/project/rrcf,2020-06-10 01:53:55.000000,0.0,4578.0,4578.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n704,pandas-ml,pandas-ml/pandas-ml,,others,https://github.com/pandas-ml/pandas-ml,https://github.com/pandas-ml/pandas-ml,BSD-3-Clause,2015-02-21 03:14:04.000000,2020-08-14 12:29:33.000000,2019-03-05 01:36:55.000000,59,24.0,17.0,273.0,153.0,\"pandas, scikit-learn, xgboost and seaborn integration.\",4.0,19,False,2019-03-05 01:36:12.000000,0.6.1,9.0,pandas-ml,,,,\"['sklearn', 'pandas']\",10.0,,https://pypi.org/project/pandas-ml,2019-03-05 01:35:23.000000,10.0,3686.0,3686.0,,,,,,,,3.0,5.0,,,,,,,,,,,,,,,,,,,,\n705,sk-dist,Ibotta/sk-dist,,distributed-ml,https://github.com/Ibotta/sk-dist,https://github.com/Ibotta/sk-dist,Apache-2.0,2019-08-14 21:07:17.000000,2021-07-07 00:44:10.000000,2021-07-07 00:44:07.000000,46,6.0,10.0,267.0,58.0,Distributed scikit-learn meta-estimators in PySpark.,7.0,19,False,2020-05-14 22:20:14.000000,0.1.9,12.0,sk-dist,,,,\"['sklearn', 'spark']\",9.0,7.0,https://pypi.org/project/sk-dist,2020-05-14 22:20:14.000000,2.0,13935.0,13935.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n706,Auto TS,AutoViML/Auto_TS,,time-series-data,https://github.com/AutoViML/Auto_TS,https://github.com/AutoViML/Auto_TS,Apache-2.0,2020-02-15 15:23:32.000000,2021-06-29 13:49:39.000000,2021-06-29 13:48:07.000000,51,8.0,35.0,259.0,235.0,\"Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of..\",6.0,19,False,2021-06-29 13:49:39.000000,0.0.37,16.0,auto-ts,,,,,,,https://pypi.org/project/auto-ts,2021-06-29 13:49:39.000000,,1460.0,1460.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n707,imodels,csinva/imodels,,interpretability,https://github.com/csinva/imodels,https://github.com/csinva/imodels,MIT,2019-07-04 15:38:48.000000,2021-07-01 21:24:20.000000,2021-06-24 01:06:00.000000,21,,12.0,233.0,360.0,\"Interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible).\",4.0,19,False,2021-03-11 18:51:58.000000,0.2.8,8.0,imodels,,,,,7.0,7.0,https://pypi.org/project/imodels,2021-03-11 18:44:07.000000,,910.0,910.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n708,pyfasttext,vrasneur/pyfasttext,,nlp,https://github.com/vrasneur/pyfasttext,https://github.com/vrasneur/pyfasttext,GPL-3.0,2017-06-30 18:44:42.000000,2018-12-08 15:32:09.000000,2018-12-08 15:02:12.000000,30,21.0,28.0,229.0,153.0,Yet another Python binding for fastText.,4.0,19,False,2018-12-08 15:32:09.000000,0.4.6,13.0,pyfasttext,,,,,183.0,170.0,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09.000000,13.0,3607.0,3614.0,,,,,,,,3.0,338.0,,,,,,,,,,,,,,,,,,,,\n709,somoclu,peterwittek/somoclu,,distributed-ml,https://github.com/peterwittek/somoclu,https://github.com/peterwittek/somoclu,MIT,2013-01-16 06:33:16.000000,2021-06-14 00:58:58.000000,2021-06-14 00:58:58.000000,59,27.0,105.0,227.0,618.0,\"Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters.\",19.0,19,False,2018-03-03 02:44:37.000000,1.7.5,17.0,somoclu,conda-forge/somoclu,,,,4.0,,https://pypi.org/project/somoclu,2020-04-25 05:33:32.000000,4.0,789.0,1902.0,https://anaconda.org/conda-forge/somoclu,2020-10-13 18:39:07.609000,51435.0,,,,,3.0,1509.0,,,,,,,,,,,,,,,,,,,,\n710,responsible-ai-widgets,microsoft/responsible-ai-widgets,,interpretability,https://github.com/microsoft/responsible-ai-widgets,https://github.com/microsoft/responsible-ai-widgets,MIT,2020-07-06 20:46:53.000000,2021-07-15 07:51:31.000000,2021-07-15 00:25:13.000000,55,84.0,106.0,224.0,,\"This project provides responsible AI user interfaces for Fairlearn, interpret-community, and Error Analysis, as well..\",16.0,19,False,2021-06-28 23:07:45.000000,0.8.0,17.0,raiwidgets,,,,\"['pytorch', 'tensorflow', 'jupyter']\",10.0,10.0,https://pypi.org/project/raiwidgets,2021-06-28 23:07:45.000000,0.0,3217.0,3217.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n711,fairness-indicators,tensorflow/fairness-indicators,,interpretability,https://github.com/tensorflow/fairness-indicators,https://github.com/tensorflow/fairness-indicators,Apache-2.0,2019-09-30 22:56:45.000000,2021-07-15 04:40:58.000000,2021-07-15 04:40:50.000000,59,15.0,7.0,212.0,267.0,Tensorflow's Fairness Evaluation and Visualization Toolkit.,21.0,19,False,2021-05-25 23:38:51.000000,0.30.1,18.0,fairness-indicators,,,,\"['tensorflow', 'jupyter']\",,,https://pypi.org/project/fairness-indicators,2021-05-25 23:38:51.000000,,628.0,628.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n712,pymap3d,geospace-code/pymap3d,,geospatial-data,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03.000000,2021-06-09 19:39:13.000000,2021-06-09 19:39:08.000000,60,2.0,24.0,201.0,,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,10.0,19,False,2021-05-25 21:45:42.000000,2.7.0,49.0,pymap3d,conda-forge/pymap3d,,,,6.0,,https://pypi.org/project/pymap3d,2021-05-25 21:45:42.000000,6.0,45563.0,46248.0,https://anaconda.org/conda-forge/pymap3d,2021-05-26 06:22:15.584000,10964.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n713,gokart,m3dev/gokart,,ml-experiments,https://github.com/m3dev/gokart,https://github.com/m3dev/gokart,MIT,2018-12-23 07:40:27.000000,2021-07-12 02:36:13.000000,2021-07-03 11:08:20.000000,33,9.0,37.0,196.0,415.0,\"Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning..\",27.0,19,False,2021-04-26 01:41:26.000000,1.0.0,56.0,gokart,,,,,2.0,,https://pypi.org/project/gokart,2020-02-25 06:01:19.000000,2.0,774.0,774.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n714,Muda,bmcfee/muda,,audio,https://github.com/bmcfee/muda,https://github.com/bmcfee/muda,ISC,2014-11-07 21:21:22.000000,2021-05-03 14:04:37.000000,2021-05-03 14:04:36.000000,34,5.0,44.0,191.0,293.0,A library for augmenting annotated audio data.,7.0,19,False,2019-11-15 15:46:21.000000,0.4.1,11.0,muda,,,,,10.0,9.0,https://pypi.org/project/muda,2019-11-15 15:46:21.000000,1.0,159.0,159.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n715,Funsor,pyro-ppl/funsor,,probabilistics,https://github.com/pyro-ppl/funsor,https://github.com/pyro-ppl/funsor,Apache-2.0,2019-01-30 23:13:39.000000,2021-07-02 04:09:26.000000,2021-07-02 04:03:08.000000,14,73.0,67.0,176.0,536.0,Functional tensors for probabilistic programming.,9.0,19,False,2021-07-02 04:10:35.000000,0.4.1,7.0,funsor,,,,['pytorch'],14.0,14.0,https://pypi.org/project/funsor,2021-07-02 04:09:26.000000,0.0,968.0,968.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n716,BatchFlow,analysiscenter/batchflow,,data-pipelines,https://github.com/analysiscenter/batchflow,https://github.com/analysiscenter/batchflow,Apache-2.0,2017-03-13 14:22:53.000000,2021-07-13 09:39:40.000000,2021-07-06 15:38:33.000000,37,40.0,65.0,161.0,4687.0,BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and..,30.0,19,False,2021-06-10 10:54:52.000000,0.5.0,7.0,batchflow,,,,,,,https://pypi.org/project/batchflow,2021-06-10 10:54:52.000000,,72.0,72.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n717,flupy,olirice/flupy,,data-pipelines,https://github.com/olirice/flupy,https://github.com/olirice/flupy,MIT,2018-01-06 16:46:04.000000,2021-05-26 18:54:20.000000,2021-05-26 18:54:08.000000,9,,7.0,158.0,180.0,Fluent data pipelines for python and your shell.,4.0,19,False,2021-05-26 18:53:55.000000,1.1.7,35.0,flupy,,,,,0.0,,https://pypi.org/project/flupy,2021-05-26 18:53:55.000000,0.0,59010.0,59010.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n718,graph-nets,deepmind/graph_nets,,graph,https://github.com/deepmind/graph_nets,https://github.com/deepmind/graph_nets,Apache-2.0,2018-08-31 08:19:28.000000,2020-12-04 17:43:48.000000,2020-12-04 17:43:47.000000,738,9.0,108.0,4919.0,47.0,Build Graph Nets in Tensorflow.,10.0,18,True,2020-01-29 16:00:25.000000,1.1.0,7.0,graph-nets,,,,['tensorflow'],7.0,,https://pypi.org/project/graph-nets,2020-01-29 16:00:25.000000,7.0,1038.0,1038.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n719,PaddleDetection,PaddlePaddle/PaddleDetection,,image,https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000000,2021-07-15 09:21:07.000000,2021-07-14 12:41:56.000000,1076,453.0,1626.0,4341.0,,Object detection and instance segmentation toolkit based on PaddlePaddle.,63.0,18,True,2021-05-20 11:25:07.000000,2.1.0,3.0,,,,,['paddle'],5.0,5.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n720,LIT,PAIR-code/lit,,interpretability,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000000,2021-07-14 20:22:43.000000,2021-04-05 17:58:30.000000,258,48.0,44.0,2594.0,,The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and..,14.0,18,True,2021-04-05 19:14:45.000000,0.3,5.0,lit-nlp,,,,,4.0,4.0,https://pypi.org/project/lit-nlp,2021-04-05 19:12:37.000000,,517.0,517.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n721,opyrator,ml-tooling/opyrator,,others,https://github.com/ml-tooling/opyrator,https://github.com/ml-tooling/opyrator,MIT,2021-04-06 08:09:06.000000,2021-06-02 04:27:49.000000,2021-05-06 12:10:38.000000,98,14.0,7.0,2314.0,,\"Turns your machine learning code into microservices with web API, interactive GUI, and more.\",4.0,18,True,2021-05-04 18:48:03.000000,0.0.12,11.0,opyrator,,,,,17.0,17.0,https://pypi.org/project/opyrator,2021-05-04 18:48:03.000000,,464.0,464.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n722,cuML,rapidsai/cuml,,gpu-utilities,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000000,2021-07-15 14:33:31.000000,2021-07-14 05:16:37.000000,337,629.0,1180.0,2261.0,,cuML - RAPIDS Machine Learning Library.,133.0,18,True,2021-06-17 15:17:06.000000,21.06.02,11.0,cuml,,,,,0.0,,https://pypi.org/project/cuml,2020-06-01 20:09:10.000000,0.0,571.0,571.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n723,spark-deep-learning,databricks/spark-deep-learning,,data-pipelines,https://github.com/databricks/spark-deep-learning,https://github.com/databricks/spark-deep-learning,Apache-2.0,2017-05-31 17:30:28.000000,2021-07-02 02:54:02.000000,2021-01-20 15:00:20.000000,450,73.0,27.0,1854.0,135.0,Deep Learning Pipelines for Apache Spark.,15.0,18,True,2020-01-08 19:50:31.000000,1.6.0,9.0,,,,,['spark'],17.0,17.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n724,pytorchvideo,facebookresearch/pytorchvideo,,image,https://github.com/facebookresearch/pytorchvideo,https://github.com/facebookresearch/pytorchvideo,Apache-2.0,2021-03-09 20:39:13.000000,2021-07-08 06:25:11.000000,2021-07-08 06:25:06.000000,116,25.0,39.0,1651.0,80.0,A deep learning library for video understanding research.,20.0,18,True,2021-06-26 00:17:07.000000,0.1.2,7.0,pytorchvideo,,,,['pytorch'],0.0,,https://pypi.org/project/pytorchvideo,2021-06-26 00:17:07.000000,0.0,2838.0,2838.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n725,riko,nerevu/riko,,data-pipelines,https://github.com/nerevu/riko,https://github.com/nerevu/riko,MIT,2016-06-02 12:22:51.000000,2020-08-14 18:29:28.000000,2020-08-14 16:47:45.000000,72,22.0,8.0,1566.0,1257.0,A Python stream processing engine modeled after Yahoo! Pipes.,18.0,18,True,2020-08-14 18:29:28.000000,0.66.0,58.0,riko,,,,,1.0,,https://pypi.org/project/riko,2020-08-14 18:29:28.000000,1.0,241.0,241.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n726,Backtesting.py,kernc/backtesting.py,,financial-data,https://github.com/kernc/backtesting.py,https://github.com/kernc/backtesting.py,AGPL-3.0,2019-01-02 03:11:32.000000,2021-06-23 08:50:34.000000,2021-04-29 23:59:19.000000,332,35.0,206.0,1503.0,230.0,Backtest trading strategies in Python.,13.0,18,False,2017-07-22 02:00:06.000000,0.0.1,1.0,backtesting,,,,,2.0,,https://pypi.org/project/backtesting,2017-07-22 02:00:06.000000,2.0,5431.0,5431.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n727,keepsake,replicate/keepsake,,ml-experiments,https://github.com/replicate/keepsake,https://github.com/replicate/keepsake,Apache-2.0,2020-07-01 04:37:44.000000,2021-07-14 23:17:29.000000,2021-05-07 00:33:52.000000,56,123.0,64.0,1494.0,,Version control for machine learning.,16.0,18,True,2021-03-11 21:15:01.000000,0.4.2,7.0,keepsake,,,,,,,https://pypi.org/project/keepsake,2021-03-11 21:15:01.000000,,1163.0,1163.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n728,aim,aimhubio/aim,,ml-experiments,https://github.com/aimhubio/aim,https://github.com/aimhubio/aim,Apache-2.0,2019-05-31 18:25:07.000000,2021-07-15 14:39:51.000000,2021-07-15 12:55:13.000000,80,101.0,92.0,1366.0,,\"Aim a super-easy way to record, search and compare 1000s of ML training runs.\",17.0,18,True,2019-11-06 08:06:11.000000,3.1.0,63.0,aim,,,,,2.0,,https://pypi.org/project/aim,2019-11-06 08:06:11.000000,2.0,41349.0,41349.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n729,lightseq,bytedance/lightseq,,nlp,https://github.com/bytedance/lightseq,https://github.com/bytedance/lightseq,Apache-2.0,2019-12-06 08:25:24.000000,2021-07-14 11:47:29.000000,2021-07-13 12:08:12.000000,119,13.0,32.0,1312.0,136.0,LightSeq: A High Performance Library for Sequence Processing and Generation.,5.0,18,True,2021-06-29 10:24:06.000000,2.0.3,8.0,lightseq,,,,,,,https://pypi.org/project/lightseq,2021-06-29 10:24:06.000000,,973.0,995.0,,,,,,,,3.0,432.0,,,,,,,,,,,,,,,,,,,,\n730,doc2text,jlsutherland/doc2text,,ocr,https://github.com/jlsutherland/doc2text,https://github.com/jlsutherland/doc2text,MIT,2016-08-28 19:30:02.000000,2020-12-01 22:56:27.000000,2020-12-01 22:56:26.000000,101,14.0,9.0,1242.0,62.0,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,5.0,18,True,2016-09-06 21:59:21.000000,0.2.4,5.0,doc2text,,,,,41.0,41.0,https://pypi.org/project/doc2text,2016-09-06 21:59:21.000000,,568.0,568.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n731,AdvBox,advboxes/AdvBox,,adversarial,https://github.com/advboxes/AdvBox,https://github.com/advboxes/AdvBox,Apache-2.0,2018-08-08 08:55:41.000000,2021-06-08 19:16:50.000000,2021-05-03 22:51:52.000000,233,8.0,29.0,1122.0,375.0,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,19.0,18,True,2018-12-05 02:48:50.000000,0.4.1,2.0,advbox,,,,,,,https://pypi.org/project/advbox,2018-12-05 02:48:50.000000,,54.0,54.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n732,Bounter,RaRe-Technologies/bounter,,data-containers,https://github.com/RaRe-Technologies/bounter,https://github.com/RaRe-Technologies/bounter,MIT,2017-07-18 07:24:15.000000,2021-05-24 07:30:15.000000,2021-05-24 07:29:54.000000,48,12.0,9.0,918.0,156.0,Efficient Counter that uses a limited (bounded) amount of memory regardless of data size.,8.0,18,True,2020-08-17 06:37:51.000000,1.1.1,7.0,bounter,,,,,38.0,24.0,https://pypi.org/project/bounter,2020-08-17 06:37:51.000000,14.0,143.0,143.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n733,iNNvestigate,albermax/innvestigate,,interpretability,https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20.000000,2021-07-09 14:29:46.000000,2021-07-09 14:29:46.000000,183,71.0,156.0,846.0,932.0,A toolbox to iNNvestigate neural networks' predictions!.,19.0,18,True,2020-11-14 11:35:59.000000,1.0.9,2.0,innvestigate,,,,['tensorflow'],1.0,,https://pypi.org/project/innvestigate,2020-11-14 11:35:59.000000,1.0,447.0,447.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n734,CrypTen,facebookresearch/CrypTen,,privacy-ml,https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000000,2021-06-25 05:20:35.000000,2021-06-25 05:20:31.000000,121,27.0,62.0,846.0,286.0,A framework for Privacy Preserving Machine Learning.,24.0,18,True,2020-04-21 13:59:37.000000,0.1,1.0,crypten,,,,['pytorch'],11.0,11.0,https://pypi.org/project/crypten,2020-02-05 18:53:03.000000,,327.0,327.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n735,ADTK,arundo/adtk,,time-series-data,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22.000000,2020-04-29 19:54:40.000000,2020-04-17 02:27:44.000000,86,25.0,31.0,684.0,78.0,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,11.0,18,False,2020-04-17 02:18:00.000000,0.6.2,13.0,adtk,,,,,,,https://pypi.org/project/adtk,2020-04-17 02:18:00.000000,,63843.0,63843.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n736,Performer Pytorch,lucidrains/performer-pytorch,,pytorch-utils,https://github.com/lucidrains/performer-pytorch,https://github.com/lucidrains/performer-pytorch,MIT,2020-10-03 03:41:36.000000,2021-04-21 06:30:05.000000,2021-04-21 06:29:48.000000,82,26.0,39.0,649.0,,\"An implementation of Performer, a linear attention-based transformer, in Pytorch.\",4.0,18,True,2021-04-21 06:30:05.000000,1.0.11,75.0,performer-pytorch,,,,['pytorch'],26.0,26.0,https://pypi.org/project/performer-pytorch,2021-04-21 05:45:21.000000,0.0,1750.0,1750.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n737,sklearn-deap,rsteca/sklearn-deap,,hyperopt,https://github.com/rsteca/sklearn-deap,https://github.com/rsteca/sklearn-deap,MIT,2015-10-28 22:52:34.000000,2019-12-03 13:29:06.000000,2019-12-03 13:29:04.000000,109,21.0,31.0,644.0,98.0,Use evolutionary algorithms instead of gridsearch in scikit-learn.,21.0,18,False,2019-07-15 09:24:09.000000,0.2.4,13.0,sklearn-deap,,,,['sklearn'],27.0,25.0,https://pypi.org/project/sklearn-deap,2019-07-15 09:24:09.000000,2.0,821.0,821.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n738,Dragonfly,dragonfly/dragonfly,,hyperopt,https://github.com/dragonfly/dragonfly,https://github.com/dragonfly/dragonfly,MIT,2018-04-20 22:19:50.000000,2020-07-26 17:44:31.000000,2020-07-03 18:01:17.000000,80,26.0,17.0,585.0,397.0,An open source python library for scalable Bayesian optimisation.,12.0,18,True,2020-07-03 18:05:12.000000,0.1.6,9.0,dragonfly-opt,,,,,2.0,,https://pypi.org/project/dragonfly-opt,2020-07-03 18:05:12.000000,2.0,24431.0,24431.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n739,baikal,alegonz/baikal,,others,https://github.com/alegonz/baikal,https://github.com/alegonz/baikal,BSD-3-Clause,2019-01-21 12:59:02.000000,2021-04-18 08:09:10.000000,2021-04-11 07:50:00.000000,29,6.0,14.0,579.0,405.0,A graph-based functional API for building complex scikit-learn pipelines.,2.0,18,True,2020-11-15 13:40:18.000000,0.4.2,7.0,baikal,conda-forge/cython-blis,,,,3.0,3.0,https://pypi.org/project/baikal,2020-11-15 13:40:18.000000,0.0,330.0,34589.0,https://anaconda.org/conda-forge/cython-blis,2021-01-31 09:13:47.685000,959255.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n740,nboost,koursaros-ai/nboost,,nlp,https://github.com/koursaros-ai/nboost,https://github.com/koursaros-ai/nboost,Apache-2.0,2019-10-29 20:56:24.000000,2020-09-30 14:51:16.000000,2020-07-16 19:48:25.000000,64,28.0,50.0,579.0,1336.0,\"NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search..\",10.0,18,True,2020-06-12 20:05:15.000000,0.3.9,26.0,nboost,,,,,3.0,3.0,https://pypi.org/project/nboost,2020-06-12 20:05:15.000000,,157.0,157.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n741,SKLL,EducationalTestingService/skll,,ml-experiments,https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,BSD-1-Clause,2013-08-02 14:31:46.000000,2021-05-14 14:51:58.000000,2021-04-30 14:40:12.000000,64,39.0,348.0,523.0,,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,35.0,18,False,2021-02-26 03:01:01.000000,2.5,64.0,skll,,,,['sklearn'],47.0,30.0,https://pypi.org/project/skll,2020-03-13 16:23:35.000000,17.0,496.0,496.0,,,,,,,,3.0,11.0,,,,,,,,,,,,,,,,,,,,\n742,TF Compression,tensorflow/compression,,tensorflow-utils,https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19.000000,2021-06-12 08:59:39.000000,2021-06-12 08:54:12.000000,178,,66.0,510.0,173.0,Data compression in TensorFlow.,10.0,18,True,2021-05-14 00:38:32.000000,2.2,11.0,tensorflow-compression,,,,['tensorflow'],1.0,,https://pypi.org/project/tensorflow-compression,2021-05-14 00:25:53.000000,1.0,870.0,870.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n743,animatplot,t-makaro/animatplot,,data-viz,https://github.com/t-makaro/animatplot,https://github.com/t-makaro/animatplot,MIT,2017-04-03 00:54:04.000000,2021-04-07 10:46:25.000000,2020-10-05 06:14:18.000000,33,17.0,16.0,377.0,178.0,A python package for animating plots build on matplotlib.,7.0,18,True,2020-10-05 06:20:52.000000,0.4.2,10.0,animatplot,conda-forge/animatplot,,,,24.0,22.0,https://pypi.org/project/animatplot,2020-10-05 06:20:52.000000,2.0,411.0,621.0,https://anaconda.org/conda-forge/animatplot,2020-10-06 02:02:00.460000,6104.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n744,Baal,ElementAI/baal,,probabilistics,https://github.com/ElementAI/baal,https://github.com/ElementAI/baal,Apache-2.0,2019-09-30 20:16:26.000000,2021-07-14 15:33:19.000000,2021-07-14 15:33:18.000000,33,11.0,36.0,365.0,114.0,Using approximate bayesian posteriors in deep nets for active learning.,9.0,18,True,2021-03-16 13:48:22.000000,1.3.0,8.0,baal,,,,,9.0,9.0,https://pypi.org/project/baal,2021-03-16 13:38:39.000000,,459.0,459.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n745,tick,X-DataInitiative/tick,,time-series-data,https://github.com/X-DataInitiative/tick,https://github.com/X-DataInitiative/tick,BSD-3-Clause,2016-12-01 10:59:08.000000,2020-08-11 12:36:43.000000,2020-06-15 12:01:36.000000,78,55.0,161.0,348.0,413.0,\"Module for statistical learning, with a particular emphasis on time-dependent modelling.\",16.0,18,False,2019-09-11 11:25:15.000000,0.6,23.0,tick,,,,,40.0,39.0,https://pypi.org/project/tick,2020-05-24 22:01:17.000000,1.0,1586.0,1589.0,,,,,,,,3.0,179.0,,,,,,,,,,,,,,,,,,,,\n746,Case Recommender,caserec/CaseRecommender,,recommender-systems,https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39.000000,2021-06-17 10:47:07.000000,2021-06-17 10:47:07.000000,73,7.0,17.0,348.0,203.0,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems.,11.0,18,True,2019-08-20 13:48:43.000000,1.1.0,41.0,caserecommender,,,,['sklearn'],9.0,9.0,https://pypi.org/project/caserecommender,2019-08-20 13:48:43.000000,,343.0,343.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n747,Camphr,PKSHATechnology-Research/camphr,,nlp,https://github.com/PKSHATechnology-Research/camphr,https://github.com/PKSHATechnology-Research/camphr,Apache-2.0,2020-02-10 03:39:58.000000,2021-07-12 10:46:25.000000,2021-07-12 10:46:22.000000,18,8.0,25.0,336.0,1367.0,\"spaCy plugin for Transformers , Udify, ELmo, etc.\",7.0,18,True,2021-03-05 10:59:35.000000,0.8.8,46.0,camphr,,,,['spacy'],0.0,,https://pypi.org/project/camphr,2021-07-12 04:03:26.000000,0.0,635.0,635.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n748,Sherpa,sherpa-ai/sherpa,,hyperopt,https://github.com/sherpa-ai/sherpa,https://github.com/sherpa-ai/sherpa,GPL-3.0,2018-05-16 21:41:54.000000,2020-10-18 07:57:50.000000,2020-10-18 07:57:48.000000,45,13.0,41.0,297.0,823.0,\"Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.\",43.0,18,False,2020-07-31 05:29:09.000000,1.0.7,8.0,parameter-sherpa,,,,,13.0,11.0,https://pypi.org/project/parameter-sherpa,2019-11-23 21:32:27.000000,2.0,744.0,744.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n749,textpipe,textpipe/textpipe,,nlp,https://github.com/textpipe/textpipe,https://github.com/textpipe/textpipe,MIT,2018-06-21 16:23:32.000000,2021-06-09 11:55:53.000000,2021-06-09 11:55:53.000000,20,21.0,25.0,293.0,371.0,Textpipe: clean and extract metadata from text.,27.0,18,False,2021-01-25 14:05:21.000000,0.12.2,39.0,textpipe,,,,,1.0,,https://pypi.org/project/textpipe,2021-01-25 14:05:21.000000,1.0,3285.0,3285.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n750,recmetrics,statisticianinstilettos/recmetrics,,recommender-systems,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49.000000,2020-12-03 21:21:02.000000,2020-12-03 21:21:00.000000,62,5.0,7.0,282.0,233.0,A library of metrics for evaluating recommender systems.,12.0,18,False,2019-03-05 04:11:15.000000,0.0.12,14.0,recmetrics,,,,,19.0,19.0,https://pypi.org/project/recmetrics,2019-03-05 04:11:15.000000,,411.0,411.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n751,fletcher,xhochy/fletcher,,data-containers,https://github.com/xhochy/fletcher,https://github.com/xhochy/fletcher,MIT,2018-03-04 16:44:22.000000,2021-02-18 14:46:18.000000,2021-02-18 14:46:18.000000,33,34.0,40.0,213.0,520.0,Pandas ExtensionDType/Array backed by Apache Arrow.,24.0,18,False,2021-01-17 20:11:01.000000,0.7.2,16.0,fletcher,conda-forge/fletcher,,,['pandas'],3.0,3.0,https://pypi.org/project/fletcher,2021-01-17 20:11:01.000000,0.0,310.0,1052.0,https://anaconda.org/conda-forge/fletcher,2021-01-17 21:23:17.140000,26747.0,,,,,3.0,13.0,,,,,,,,,,,,,,,,,,,,\n752,model-card-toolkit,tensorflow/model-card-toolkit,,interpretability,https://github.com/tensorflow/model-card-toolkit,https://github.com/tensorflow/model-card-toolkit,Apache-2.0,2020-07-24 16:48:58.000000,2021-07-15 01:32:24.000000,2021-06-24 15:36:34.000000,28,12.0,2.0,204.0,129.0,a tool that leverages rich metadata and lineage information in MLMD to build a model card.,10.0,18,False,2021-02-05 20:56:01.000000,0.1.3,4.0,model-card-toolkit,,,,,3.0,3.0,https://pypi.org/project/model-card-toolkit,2021-02-05 20:54:29.000000,,330.0,330.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n753,textaugment,dsfsi/textaugment,,nlp,https://github.com/dsfsi/textaugment,https://github.com/dsfsi/textaugment,MIT,2019-05-06 12:28:19.000000,2021-06-28 17:34:26.000000,2021-06-28 17:34:05.000000,26,10.0,10.0,150.0,54.0,TextAugment: Text Augmentation Library.,4.0,18,False,2020-11-05 15:04:26.000000,1.3.4,8.0,textaugment,,,,,5.0,5.0,https://pypi.org/project/textaugment,2020-11-05 15:02:11.000000,,2917.0,2919.0,,,,,,,,3.0,53.0,,,,,,,,,,,,,,,,,,,,\n754,DALI,NVIDIA/DALI,,gpu-utilities,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000000,2021-07-15 14:24:26.000000,2021-07-13 18:49:12.000000,409,171.0,840.0,3366.0,,A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to..,60.0,17,True,2021-06-30 13:15:12.000000,1.3.0,41.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n755,ReAgent,facebookresearch/ReAgent,,reinforcement-learning,https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000000,2021-07-13 21:13:48.000000,2021-07-13 21:13:25.000000,426,41.0,75.0,2959.0,1245.0,\"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).\",104.0,17,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n756,Spotlight,maciejkula/spotlight,,recommender-systems,https://github.com/maciejkula/spotlight,https://github.com/maciejkula/spotlight,MIT,2017-06-25 18:52:19.000000,2020-11-15 08:21:28.000000,2020-02-09 21:03:48.000000,374,67.0,48.0,2532.0,299.0,Deep recommender models using PyTorch.,11.0,17,False,2019-09-08 10:19:53.000000,0.1.6,7.0,,maciejkula/spotlight,,,['pytorch'],,,,,,,128.0,https://anaconda.org/maciejkula/spotlight,2018-05-27 18:32:12.235000,6291.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n757,Mara Pipelines,mara/mara-pipelines,,data-pipelines,https://github.com/mara/mara-pipelines,https://github.com/mara/mara-pipelines,MIT,2018-03-31 20:37:22.000000,2021-07-10 15:56:16.000000,2021-03-08 23:02:33.000000,80,11.0,12.0,1740.0,134.0,\"A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow.\",16.0,17,True,2021-01-23 22:34:03.000000,3.1.2,7.0,mara-pipelines,,,,,7.0,7.0,https://pypi.org/project/mara-pipelines,2021-01-23 22:34:03.000000,,97.0,97.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n758,pycls,facebookresearch/pycls,,image,https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17.000000,2021-07-09 21:21:46.000000,2021-07-09 15:25:41.000000,180,17.0,50.0,1650.0,90.0,\"Codebase for Image Classification Research, written in PyTorch.\",13.0,17,True,2021-05-21 00:29:47.000000,0.2,2.0,,,,,['pytorch'],3.0,3.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n759,BlazingSQL,BlazingDB/blazingsql,,gpu-utilities,https://github.com/BlazingDB/blazingsql,https://github.com/BlazingDB/blazingsql,Apache-2.0,2018-09-24 18:25:45.000000,2021-07-13 22:41:15.000000,2021-07-13 22:41:15.000000,144,129.0,583.0,1531.0,,\"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.\",46.0,17,True,2021-04-21 21:35:59.000000,0.19.0,17.0,,blazingsql/blazingsql-protocol,,,,,,,,,,42.0,https://anaconda.org/blazingsql/blazingsql-protocol,2019-11-11 19:54:17.621000,930.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n760,Lambda Networks,lucidrains/lambda-networks,,pytorch-utils,https://github.com/lucidrains/lambda-networks,https://github.com/lucidrains/lambda-networks,MIT,2020-10-08 19:01:15.000000,2020-11-18 19:54:34.000000,2020-11-18 19:54:30.000000,150,12.0,15.0,1471.0,,\"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.\",3.0,17,True,2020-11-18 08:19:23.000000,0.4.0,11.0,lambda-networks,,,,['pytorch'],3.0,3.0,https://pypi.org/project/lambda-networks,2020-11-18 08:19:23.000000,,833.0,833.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n761,Advisor,tobegit3hub/advisor,,hyperopt,https://github.com/tobegit3hub/advisor,https://github.com/tobegit3hub/advisor,Apache-2.0,2017-09-14 03:50:33.000000,2019-11-11 07:09:57.869705,2019-11-11 06:59:31.000000,250,20.0,13.0,1384.0,165.0,Open-source implementation of Google Vizier for hyper parameters tuning.,11.0,17,False,2018-10-18 02:54:09.000000,0.1.6,4.0,advisor,,tobegit3hub/advisor,,,,,https://pypi.org/project/advisor,2018-10-18 02:54:09.000000,,73.0,107.0,,,,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1600.0,3.0,,,,,,,,,,,,,,,,,,,,,\n762,zenml,maiot-io/zenml,,data-pipelines,https://github.com/maiot-io/zenml,https://github.com/maiot-io/zenml,Apache-2.0,2020-11-19 09:25:46.000000,2021-07-15 10:09:45.000000,2021-07-15 10:09:43.000000,62,16.0,31.0,1208.0,,ZenML : MLOps framework to create reproducible ML pipelines for production machine learning.,13.0,17,True,2021-06-07 07:09:13.000000,0.3.8,34.0,zenml,,,,,1.0,1.0,https://pypi.org/project/zenml,2021-06-10 19:31:02.000000,,697.0,697.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n763,greykite,linkedin/greykite,,time-series-data,https://github.com/linkedin/greykite,https://github.com/linkedin/greykite,BSD-2-Clause,2021-04-27 17:05:53.000000,2021-07-01 19:41:38.000000,2021-07-01 16:54:07.000000,43,9.0,19.0,1194.0,12.0,\"A flexible, intuitive and fast forecasting library.\",5.0,17,True,2021-07-01 19:41:38.000000,0.2.0,6.0,greykite,,,,,2.0,2.0,https://pypi.org/project/greykite,2021-07-01 19:41:38.000000,,7866.0,7866.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n764,sklearn-porter,nok/sklearn-porter,,model-serialisation,https://github.com/nok/sklearn-porter,https://github.com/nok/sklearn-porter,MIT,2016-06-22 22:21:34.000000,2021-06-01 22:52:09.000000,2019-12-18 13:31:50.000000,138,42.0,29.0,1061.0,699.0,\"Transpile trained scikit-learn estimators to C, Java, JavaScript and others.\",11.0,17,False,2019-12-18 13:39:19.000000,0.7.4,20.0,sklearn-porter,,,,['sklearn'],1.0,,https://pypi.org/project/sklearn-porter,2019-12-18 13:39:19.000000,1.0,458.0,458.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n765,DIG,divelab/DIG,,graph,https://github.com/divelab/DIG,https://github.com/divelab/DIG,GPL-3.0,2020-10-30 03:51:15.000000,2021-07-14 05:29:56.000000,2021-07-14 05:29:56.000000,87,2.0,30.0,784.0,,A library for graph deep learning research.,24.0,17,False,2021-05-20 23:53:44.000000,0.0.4,10.0,dig,,,,,8.0,,https://pypi.org/project/dig,2015-08-23 10:30:20.000000,8.0,290.0,290.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n766,Tez,abhishekkrthakur/tez,,pytorch-utils,https://github.com/abhishekkrthakur/tez,https://github.com/abhishekkrthakur/tez,Apache-2.0,2020-11-13 10:19:22.000000,2021-07-04 15:23:50.000000,2021-05-05 18:56:37.000000,88,14.0,8.0,624.0,,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,,17,True,2021-05-05 18:57:21.000000,0.1.4,10.0,tez,,,,['pytorch'],7.0,7.0,https://pypi.org/project/tez,2021-05-05 18:57:21.000000,0.0,825.0,825.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n767,AlphaPy,ScottfreeLLC/AlphaPy,,hyperopt,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32.000000,2021-02-08 21:35:40.000000,2021-02-08 21:35:40.000000,136,9.0,29.0,614.0,409.0,\"Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost.\",3.0,17,True,2020-08-29 18:48:20.000000,2.5.0,25.0,alphapy,,,,,3.0,3.0,https://pypi.org/project/alphapy,2020-08-29 18:44:15.000000,,164.0,164.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n768,Tensor Sensor,parrt/tensor-sensor,,pytorch-utils,https://github.com/parrt/tensor-sensor,https://github.com/parrt/tensor-sensor,MIT,2020-08-28 22:54:04.000000,2021-05-26 23:19:21.000000,2021-05-26 23:19:17.000000,27,5.0,13.0,567.0,167.0,The goal of this library is to generate more helpful exception messages for numpy/pytorch matrix algebra expressions.,2.0,17,True,2021-05-26 23:15:44.000000,0.1.2,35.0,tensor-sensor,,,,['pytorch'],2.0,2.0,https://pypi.org/project/tensor-sensor,2021-05-26 23:15:44.000000,,652.0,652.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n769,avalanche,ContinualAI/avalanche,,others,https://github.com/ContinualAI/avalanche,https://github.com/ContinualAI/avalanche,MIT,2020-03-05 11:32:13.000000,2021-07-14 14:28:49.000000,2021-07-07 07:25:55.000000,73,61.0,311.0,540.0,1915.0,Avalanche: an End-to-End Library for Continual Learning.,33.0,17,True,2021-03-11 11:51:35.000000,0.0.1,1.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n770,Vulkan Kompute,EthicalML/vulkan-kompute,,gpu-utilities,https://github.com/EthicalML/vulkan-kompute,https://github.com/EthicalML/vulkan-kompute,Apache-2.0,2020-07-29 05:23:33.000000,2021-06-28 10:06:13.000000,2021-06-21 07:00:58.000000,36,53.0,96.0,430.0,873.0,\"General purpose GPU compute framework for cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast,..\",14.0,17,True,2021-03-14 16:03:43.000000,0.7.0,11.0,kp,,,,,2.0,2.0,https://pypi.org/project/kp,2021-03-14 15:37:22.000000,,135.0,141.0,,,,,,,,3.0,70.0,,,,,,,,,,,,,,,,,,,,\n771,BioPandas,rasbt/biopandas,,others,https://github.com/rasbt/biopandas,https://github.com/rasbt/biopandas,BSD-3-Clause,2015-11-21 00:00:14.000000,2021-04-07 03:17:51.000000,2021-04-07 03:17:51.000000,82,16.0,21.0,361.0,,Working with molecular structures in pandas DataFrames.,7.0,17,True,2021-03-03 00:55:13.000000,0.2.8,12.0,biopandas,conda-forge/biopandas,,,['pandas'],6.0,,https://pypi.org/project/biopandas,2021-03-03 00:55:13.000000,6.0,790.0,2231.0,https://anaconda.org/conda-forge/biopandas,2020-08-08 06:33:59.197000,79305.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n772,Sematch,gsi-upm/sematch,,graph,https://github.com/gsi-upm/sematch,https://github.com/gsi-upm/sematch,Apache-2.0,2012-11-30 11:11:53.000000,2020-11-05 21:20:52.000000,2019-03-27 03:17:24.000000,100,14.0,19.0,357.0,122.0,semantic similarity framework for knowledge graph.,5.0,17,False,2017-04-17 10:56:52.000000,1.0.4,5.0,sematch,,,,,32.0,29.0,https://pypi.org/project/sematch,2017-04-17 10:56:52.000000,3.0,151.0,151.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n773,carefree-learn,carefree0910/carefree-learn,,tabular,https://github.com/carefree0910/carefree-learn,https://github.com/carefree0910/carefree-learn,MIT,2020-06-17 17:44:17.000000,2021-07-13 17:08:41.000000,2021-04-12 01:09:21.000000,28,4.0,75.0,336.0,194.0,Tabular Datasets PyTorch.,1.0,17,True,2021-04-09 01:12:31.000000,0.1.16,17.0,carefree-learn,,,,['pytorch'],2.0,2.0,https://pypi.org/project/carefree-learn,2021-03-18 01:39:58.000000,,322.0,322.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n774,datmo,datmo/datmo,,ml-experiments,https://github.com/datmo/datmo,https://github.com/datmo/datmo,MIT,2017-11-03 05:46:43.000000,2021-06-01 22:48:33.000000,2019-11-29 00:48:44.000000,27,42.0,149.0,334.0,1051.0,Open source production model management tool for data scientists.,6.0,17,False,2018-12-07 06:16:42.000000,0.0.40,41.0,datmo,,,,,5.0,5.0,https://pypi.org/project/datmo,2018-12-07 06:16:42.000000,,85.0,85.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n775,apricot,jmschrei/apricot,,others,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12.000000,2021-02-18 03:37:56.000000,2021-02-18 03:37:55.000000,30,3.0,15.0,323.0,167.0,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,2.0,17,True,2020-09-28 07:19:15.000000,0.6.0,13.0,apricot-select,,,,,19.0,19.0,https://pypi.org/project/apricot-select,2020-09-28 07:19:15.000000,0.0,554.0,554.0,,,,,,,,3.0,9.0,,,,,,,,,,,,,,,,,,,,\n776,scikit-tda,scikit-tda/scikit-tda,,sklearn-utils,https://github.com/scikit-tda/scikit-tda,https://github.com/scikit-tda/scikit-tda,MIT,2018-04-13 21:00:31.000000,2021-01-09 19:51:04.000000,2021-01-09 19:50:05.000000,33,11.0,4.0,294.0,56.0,Topological Data Analysis for Python.,2.0,17,False,2021-01-09 19:51:04.000000,0.1.0,3.0,scikit-tda,,,,['sklearn'],20.0,20.0,https://pypi.org/project/scikit-tda,2021-01-09 19:51:04.000000,,4512.0,4512.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n777,bodywork-core,bodywork-ml/bodywork-core,,data-pipelines,https://github.com/bodywork-ml/bodywork-core,https://github.com/bodywork-ml/bodywork-core,AGPL-3.0,2020-11-17 11:38:17.000000,2021-07-15 14:33:24.000000,2021-07-05 08:09:48.000000,11,6.0,27.0,257.0,467.0,MLOps tool for deploying machine learning projects to Kubernetes.,4.0,17,False,2021-07-05 08:15:59.000000,2.1.7,45.0,bodywork,,,,,6.0,6.0,https://pypi.org/project/bodywork,2021-07-05 08:15:59.000000,,617.0,617.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n778,solt,MIPT-Oulu/solt,,image,https://github.com/MIPT-Oulu/solt,https://github.com/MIPT-Oulu/solt,MIT,2018-08-02 15:09:05.000000,2020-12-05 11:06:18.000000,2020-04-09 06:44:39.000000,19,16.0,30.0,253.0,336.0,Streaming over lightweight data transformations.,4.0,17,False,2020-03-10 14:09:31.000000,0.1.9,18.0,solt,,,,,24.0,21.0,https://pypi.org/project/solt,2020-03-10 14:09:31.000000,3.0,246.0,246.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n779,DeepGraph,deepgraph/deepgraph,,graph,https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45.000000,2021-06-14 10:58:14.000000,2021-06-14 10:58:10.000000,35,8.0,5.0,239.0,162.0,Analyze Data with Pandas-based Networks. Documentation:.,2.0,17,False,2020-10-01 13:20:38.000000,0.2.3,13.0,deepgraph,conda-forge/deepgraph,,,['pandas'],1.0,1.0,https://pypi.org/project/deepgraph,2020-10-01 13:18:38.000000,,367.0,2532.0,https://anaconda.org/conda-forge/deepgraph,2021-01-15 08:36:25.609000,101778.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n780,elegy,poets-ai/elegy,,ml-frameworks,https://github.com/poets-ai/elegy,https://github.com/poets-ai/elegy,Apache-2.0,2020-06-30 14:00:37.000000,2021-06-01 16:05:08.000000,2021-06-01 16:05:00.000000,13,21.0,38.0,228.0,304.0,Elegy is a framework-agnostic Trainer interface for the Jax ecosystem.,13.0,17,False,2021-06-01 15:54:50.000000,0.7.4,23.0,elegy,,,,\"['tensorflow', 'jax']\",,,https://pypi.org/project/elegy,2021-06-01 15:45:43.000000,,299.0,299.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n781,ExplainX.ai,explainX/explainx,,interpretability,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15.000000,2021-02-07 11:06:21.000000,2021-02-02 09:03:57.000000,36,10.0,17.0,214.0,184.0,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,4.0,17,False,2021-02-07 11:06:21.000000,2.407,56.0,explainx,,,,,,,https://pypi.org/project/explainx,2021-02-04 16:44:24.000000,,1524.0,1524.0,,,,,,,,3.0,2.0,,,,,,,,,,,,,,,,,,,,\n782,Julius,adefossez/julius,,audio,https://github.com/adefossez/julius,https://github.com/adefossez/julius,MIT,2020-10-26 10:54:21.000000,2021-06-22 15:54:57.000000,2021-06-22 15:53:16.000000,9,,6.0,203.0,,Fast PyTorch based DSP for audio and 1D signals.,2.0,17,False,2021-06-22 15:53:57.000000,0.2.4,8.0,julius,,,,['pytorch'],23.0,23.0,https://pypi.org/project/julius,2021-06-22 15:53:57.000000,0.0,5379.0,5379.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n783,lkpy,lenskit/lkpy,,recommender-systems,https://github.com/lenskit/lkpy,https://github.com/lenskit/lkpy,MIT,2018-06-08 21:05:10.000000,2021-07-13 22:16:05.000000,2021-07-13 22:15:58.000000,49,26.0,60.0,174.0,,Python recommendation toolkit.,13.0,17,False,2021-06-22 17:06:47.000000,0.13.1,20.0,lenskit,conda-forge/lenskit,,,,0.0,,https://pypi.org/project/lenskit,2021-06-22 17:07:09.000000,0.0,1668.0,2286.0,https://anaconda.org/conda-forge/lenskit,2021-06-22 22:08:21.249000,4947.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n784,Larq Compute Engine,larq/compute-engine,,model-serialisation,https://github.com/larq/compute-engine,https://github.com/larq/compute-engine,Apache-2.0,2019-08-29 15:02:43.000000,2021-07-09 20:05:04.000000,2021-07-09 13:57:41.000000,23,21.0,101.0,154.0,,Highly optimized inference engine for Binarized Neural Networks.,16.0,17,False,2021-07-09 20:05:04.000000,0.6.1,14.0,larq-compute-engine,,,,,3.0,3.0,https://pypi.org/project/larq-compute-engine,2021-07-09 20:05:04.000000,,601.0,616.0,,,,,,,,3.0,255.0,,,,,,,,,,,,,,,,,,,,\n785,pyRDF2Vec,IBCNServices/pyRDF2Vec,,graph,https://github.com/IBCNServices/pyRDF2Vec,https://github.com/IBCNServices/pyRDF2Vec,MIT,2019-06-13 11:36:12.000000,2021-07-05 07:13:02.000000,2021-07-05 07:12:54.000000,20,3.0,37.0,124.0,1136.0,Python Implementation and Extension of RDF2Vec.,5.0,17,False,2021-06-09 10:56:14.000000,0.2.3,11.0,pyrdf2vec,,,,,,,https://pypi.org/project/pyrdf2vec,2021-06-09 10:56:14.000000,,211.0,211.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n786,DE⫶TR,facebookresearch/detr,,image,https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52.000000,2021-07-09 14:23:04.000000,2021-06-30 10:31:23.000000,1179,97.0,255.0,7203.0,42.0,End-to-End Object Detection with Transformers.,21.0,16,True,2020-06-29 16:41:01.000000,0.2,1.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n787,DeepMind Lab,deepmind/lab,,reinforcement-learning,https://github.com/deepmind/lab,https://github.com/deepmind/lab,GPL-2.0,2016-11-30 13:41:26.000000,2021-07-14 22:02:27.000000,2021-07-01 16:21:35.000000,1323,43.0,159.0,6495.0,486.0,A customisable 3D platform for agent-based AI research.,7.0,16,False,2020-12-07 11:26:33.000000,release-2020-12-07,8.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n788,tinygrad,geohot/tinygrad,,pytorch-utils,https://github.com/geohot/tinygrad,https://github.com/geohot/tinygrad,MIT,2020-10-18 16:23:12.000000,2021-07-02 15:19:09.000000,2021-06-29 14:20:54.000000,539,21.0,64.0,4871.0,561.0,You like pytorch? You like micrograd? You love tinygrad!.,49.0,16,True,,,,,,,,['pytorch'],1.0,1.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n789,PySlowFast,facebookresearch/SlowFast,,image,https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26.000000,2021-07-08 06:26:53.000000,2021-07-08 06:26:48.000000,762,208.0,224.0,3915.0,147.0,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,24.0,16,True,,,,,,,,['pytorch'],4.0,4.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n790,GraphEmbedding,shenweichen/GraphEmbedding,,graph,https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20.000000,2021-07-11 08:20:02.000000,2020-10-18 09:32:47.000000,635,35.0,14.0,2122.0,28.0,Implementation and experiments of graph embedding algorithms.,8.0,16,True,,,,,,,,['sklearn'],12.0,12.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n791,automl-gs,minimaxir/automl-gs,,hyperopt,https://github.com/minimaxir/automl-gs,https://github.com/minimaxir/automl-gs,MIT,2019-01-13 18:57:44.000000,2019-10-22 11:20:40.000000,2019-04-05 06:48:14.000000,164,26.0,6.0,1746.0,102.0,\"Provide an input CSV and a target field to predict, generate a model + code to run it.\",7.0,16,False,2019-04-05 06:51:04.000000,0.2.1,2.0,automl_gs,,,,,,,https://pypi.org/project/automl_gs,2019-04-05 06:47:54.000000,,39.0,39.0,,,,,,,,3.0,22.0,,,,,,,,,,,,,,,,,,,,\n792,Antialiased CNNs,adobe/antialiased-cnns,,pytorch-utils,https://github.com/adobe/antialiased-cnns,https://github.com/adobe/antialiased-cnns,CC BY-NC-SA 4.0,2019-05-14 20:51:25.000000,2021-03-01 18:01:57.000000,2020-10-22 19:40:07.000000,184,10.0,31.0,1398.0,238.0,pip install antialiased-cnns to improve stability and accuracy.,6.0,16,False,2020-10-23 22:45:52.000000,0.3,6.0,antialiased-cnns,,,,['pytorch'],1.0,1.0,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49.000000,,356.0,356.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n793,Xcessiv,reiinakano/xcessiv,,hyperopt,https://github.com/reiinakano/xcessiv,https://github.com/reiinakano/xcessiv,Apache-2.0,2017-03-07 18:18:25.000000,2018-06-06 22:23:37.000000,2017-08-21 00:51:15.000000,109,22.0,13.0,1258.0,316.0,\"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.\",6.0,16,False,2017-08-21 00:53:25.000000,0.5.1,34.0,xcessiv,,,,,2.0,1.0,https://pypi.org/project/xcessiv,2017-08-21 00:49:41.000000,1.0,143.0,143.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n794,Botflow,kkyon/botflow,,data-pipelines,https://github.com/kkyon/botflow,https://github.com/kkyon/botflow,BSD-3-Clause,2018-08-20 03:13:31.000000,2020-12-31 09:03:22.000000,2019-05-23 14:40:50.000000,99,2.0,2.0,1176.0,192.0,\"Python Fast Dataflow programming framework for Data pipeline work( Web Crawler,Machine Learning,Quantitative..\",11.0,16,False,2018-09-14 14:38:32.000000,0.2.0,5.0,botflow,,,,,1.0,1.0,https://pypi.org/project/botflow,2018-09-14 14:38:32.000000,,81.0,81.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n795,ecco,jalammar/ecco,,interpretability,https://github.com/jalammar/ecco,https://github.com/jalammar/ecco,BSD-3-Clause,2020-11-07 10:06:34.000000,2021-07-11 12:04:10.000000,2021-02-25 11:02:31.000000,50,10.0,9.0,817.0,,Visualize and explore NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks..,2.0,16,True,2021-02-25 09:54:16.000000,0.0.14,14.0,ecco,,,,['pytorch'],3.0,3.0,https://pypi.org/project/ecco,2021-02-08 05:55:57.000000,,194.0,194.0,,,,,,,,3.0,2.0,,,,,,,,,,,,,,,,,,,,\n796,cuGraph,rapidsai/cugraph,,gpu-utilities,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000000,2021-07-14 16:34:26.000000,2021-07-14 16:34:25.000000,151,111.0,563.0,762.0,,cuGraph - RAPIDS Graph Analytics Library.,64.0,16,True,2021-06-09 21:07:01.000000,21.06.00,9.0,cugraph,,,,,0.0,,https://pypi.org/project/cugraph,2020-06-01 20:09:06.000000,0.0,88.0,88.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n797,NeoML,neoml-lib/neoml,,ml-frameworks,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000000,2021-07-14 08:18:23.000000,2021-07-14 08:18:23.000000,86,31.0,20.0,628.0,388.0,Machine learning framework for both deep learning and traditional algorithms.,21.0,16,True,2021-06-22 05:25:53.000000,NeoML-master_2.0.5.0,2.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n798,SpeedTorch,Santosh-Gupta/SpeedTorch,,gpu-utilities,https://github.com/Santosh-Gupta/SpeedTorch,https://github.com/Santosh-Gupta/SpeedTorch,MIT,2019-09-07 18:57:52.000000,2020-02-21 23:13:29.000000,2020-02-21 23:13:28.000000,39,3.0,2.0,622.0,170.0,Library for faster pinned CPU - GPU transfer in Pytorch.,3.0,16,False,2020-01-06 05:27:17.000000,0.1.6,14.0,SpeedTorch,,,,['pytorch'],5.0,3.0,https://pypi.org/project/SpeedTorch,2020-01-06 05:27:17.000000,2.0,127.0,127.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n799,FlashTorch,MisaOgura/flashtorch,,interpretability,https://github.com/MisaOgura/flashtorch,https://github.com/MisaOgura/flashtorch,MIT,2019-03-22 13:00:57.000000,2021-06-30 12:46:02.000000,2021-04-27 11:10:20.000000,71,10.0,22.0,605.0,127.0,Visualization toolkit for neural networks in PyTorch! Demo --.,2.0,16,True,2020-05-29 14:39:38.000000,0.1.3,12.0,flashtorch,,,,['pytorch'],6.0,6.0,https://pypi.org/project/flashtorch,2020-05-29 14:38:32.000000,,190.0,190.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n800,Auto Tune Models,HDI-Project/ATM,,hyperopt,https://github.com/HDI-Project/ATM,https://github.com/HDI-Project/ATM,MIT,2016-10-14 18:03:00.000000,2020-02-21 17:44:07.000000,2020-02-21 17:40:58.000000,128,17.0,71.0,507.0,775.0,\"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).\",16.0,16,False,2019-07-30 09:28:26.000000,0.2.2,14.0,atm,,,,,6.0,6.0,https://pypi.org/project/atm,2019-07-30 09:25:11.000000,,121.0,121.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n801,kglib,vaticle/kglib,,graph,https://github.com/vaticle/kglib,https://github.com/vaticle/kglib,Apache-2.0,2018-09-16 16:46:48.000000,2021-05-31 07:19:24.000000,2021-01-15 11:17:51.000000,84,12.0,49.0,440.0,487.0,Grakn Knowledge Graph Library (ML R&D).,7.0,16,True,2020-08-19 15:39:10.000000,0.2.2,7.0,grakn-kglib,,,,,,,https://pypi.org/project/grakn-kglib,2020-08-19 15:39:10.000000,,129.0,136.0,,,,,,,,3.0,211.0,,,,,,,,,,,,,,,,,,,,\n802,OpenRec,ylongqi/openrec,,recommender-systems,https://github.com/ylongqi/openrec,https://github.com/ylongqi/openrec,Apache-2.0,2017-11-29 16:04:40.000000,2021-05-21 14:50:17.000000,2020-02-19 07:57:17.000000,84,5.0,12.0,376.0,213.0,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms.,11.0,16,False,2020-02-18 06:52:11.000000,0.3.0,12.0,openrec,,,,,2.0,1.0,https://pypi.org/project/openrec,2020-02-18 06:52:11.000000,1.0,54.0,54.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n803,atspy,firmai/atspy,,time-series-data,https://github.com/firmai/atspy,https://github.com/firmai/atspy,MIT,2020-01-28 05:00:10.000000,2021-05-21 16:09:11.000000,2020-11-12 16:15:26.000000,68,18.0,2.0,365.0,97.0,AtsPy: Automated Time Series Models in Python (by @firmai).,5.0,16,True,2020-11-12 16:10:48.000000,zen,39.0,atspy,,,,,3.0,3.0,https://pypi.org/project/atspy,2020-04-24 18:16:15.000000,,691.0,691.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n804,VizSeq,facebookresearch/vizseq,,nlp,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38.000000,2021-06-16 13:39:30.000000,2021-06-16 13:39:22.000000,40,7.0,8.0,341.0,50.0,\"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).\",3.0,16,True,2020-08-07 01:13:52.000000,0.1.15,16.0,vizseq,,,,,2.0,2.0,https://pypi.org/project/vizseq,2020-08-07 01:13:52.000000,,224.0,224.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n805,pdvega,altair-viz/pdvega,,data-viz,https://github.com/altair-viz/pdvega,https://github.com/altair-viz/pdvega,MIT,2018-01-11 21:30:27.000000,2019-03-29 16:09:14.000000,2019-03-29 16:09:13.000000,29,16.0,10.0,340.0,177.0,Interactive plotting for Pandas using Vega-Lite.,9.0,16,False,,,1.0,pdvega,,,,,58.0,51.0,https://pypi.org/project/pdvega,2018-02-01 04:56:43.000000,7.0,145.0,145.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n806,LOFO,aerdem4/lofo-importance,,interpretability,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46.000000,2021-01-27 13:57:42.000000,2020-07-02 11:49:52.000000,41,3.0,10.0,332.0,24.0,Leave One Feature Out Importance.,3.0,16,True,2020-07-02 11:44:57.000000,0.2.6,9.0,lofo-importance,,,,,5.0,5.0,https://pypi.org/project/lofo-importance,2020-07-02 11:44:57.000000,,156.0,156.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n807,Pywick,achaiah/pywick,,pytorch-utils,https://github.com/achaiah/pywick,https://github.com/achaiah/pywick,MIT,2019-03-25 15:42:47.000000,2021-07-12 21:18:26.000000,2021-05-17 15:46:51.000000,36,3.0,10.0,328.0,124.0,High-level batteries-included neural network training library for Pytorch.,4.0,16,True,2020-01-20 22:14:21.000000,0.5.6,6.0,pywick,,,,['pytorch'],4.0,4.0,https://pypi.org/project/pywick,2020-01-20 22:14:21.000000,,62.0,62.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n808,TextBox,RUCAIBox/TextBox,,nlp,https://github.com/RUCAIBox/TextBox,https://github.com/RUCAIBox/TextBox,MIT,2020-11-08 07:35:46.000000,2021-06-09 10:30:04.000000,2021-06-09 10:30:04.000000,44,2.0,5.0,277.0,,TextBox is an open-source library for building text generation system.,10.0,16,False,2021-04-15 13:39:28.000000,0.2.1,10.0,textbox,,,,,5.0,5.0,https://pypi.org/project/textbox,2021-04-15 09:35:06.000000,,71.0,71.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n809,Headliner,as-ideas/headliner,,nlp,https://github.com/as-ideas/headliner,https://github.com/as-ideas/headliner,MIT,2019-09-30 11:33:28.000000,2021-03-26 07:19:57.000000,2020-02-14 09:03:27.000000,39,1.0,13.0,230.0,276.0,Easy training and deployment of seq2seq models.,2.0,16,False,2020-01-24 09:06:29.000000,1.0.2,30.0,headliner,,,,,4.0,3.0,https://pypi.org/project/headliner,2020-01-24 09:06:29.000000,1.0,295.0,295.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n810,skift,shaypal5/skift,,nlp,https://github.com/shaypal5/skift,https://github.com/shaypal5/skift,MIT,2018-02-03 11:37:21.000000,2021-03-31 10:11:28.000000,2021-03-31 10:11:20.000000,22,2.0,8.0,218.0,129.0,scikit-learn wrappers for Python fastText.,7.0,16,False,2020-08-27 15:01:05.000000,0.0.19,15.0,skift,,,,['sklearn'],8.0,8.0,https://pypi.org/project/skift,2020-08-27 15:01:05.000000,,590.0,590.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n811,Parfit,jmcarpenter2/parfit,,hyperopt,https://github.com/jmcarpenter2/parfit,https://github.com/jmcarpenter2/parfit,MIT,2017-11-22 20:17:51.000000,2020-04-04 19:26:44.000000,2020-04-04 19:26:37.000000,25,6.0,5.0,197.0,127.0,\"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..\",2.0,16,False,,,23.0,parfit,,,,['sklearn'],8.0,8.0,https://pypi.org/project/parfit,2018-10-11 22:03:16.000000,,15177.0,15177.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n812,dstack,dstackai/dstack,,others,https://github.com/dstackai/dstack,https://github.com/dstackai/dstack,Apache-2.0,2020-06-22 09:03:03.000000,2021-03-23 15:50:23.000000,2021-03-23 15:50:02.000000,11,21.0,122.0,187.0,639.0,An open-source tool to rapidly develop data applications with Python.,4.0,16,False,2021-03-04 19:20:57.000000,0.6.4,22.0,dstack,,,,,,,https://pypi.org/project/dstack,2021-03-23 15:46:40.000000,,176.0,176.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n813,skggm,skggm/skggm,,sklearn-utils,https://github.com/skggm/skggm,https://github.com/skggm/skggm,MIT,2016-06-11 18:35:56.000000,2020-12-24 08:36:00.000000,2020-12-24 05:43:15.000000,31,28.0,47.0,183.0,691.0,Scikit-learn compatible estimation of general graphical models.,5.0,16,False,2018-09-12 01:12:49.000000,0.2.8,6.0,skggm,,,,['sklearn'],8.0,6.0,https://pypi.org/project/skggm,2018-09-12 01:12:49.000000,2.0,117.0,117.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n814,nx-altair,Zsailer/nx_altair,,data-viz,https://github.com/Zsailer/nx_altair,https://github.com/Zsailer/nx_altair,MIT,2018-05-13 00:10:12.000000,2020-09-30 12:01:08.000000,2020-06-02 21:10:26.000000,21,6.0,4.0,167.0,51.0,Draw interactive NetworkX graphs with Altair.,3.0,16,False,2020-06-02 21:11:12.000000,0.1.6,8.0,nx-altair,,,,['jupyter'],4.0,,https://pypi.org/project/nx-altair,2020-06-02 21:11:12.000000,4.0,358.0,358.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n815,ipyexperiments,stas00/ipyexperiments,,gpu-utilities,https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40.000000,2021-03-28 18:24:12.000000,2021-03-28 18:23:45.000000,9,,4.0,135.0,196.0,jupyter/ipython experiment containers for GPU and general RAM re-use.,3.0,16,False,2021-03-28 03:39:09.000000,0.1.26,23.0,ipyexperiments,,,,['jupyter'],7.0,5.0,https://pypi.org/project/ipyexperiments,2021-03-28 03:39:09.000000,2.0,412.0,412.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n816,steppy,minerva-ml/steppy,,ml-experiments,https://github.com/minerva-ml/steppy,https://github.com/minerva-ml/steppy,MIT,2018-01-15 09:40:49.000000,2018-11-23 09:49:59.000000,2018-11-23 09:47:34.000000,31,16.0,50.0,127.0,69.0,\"Lightweight, Python library for fast and reproducible experimentation.\",5.0,16,False,2018-11-23 09:49:59.000000,0.1.16,16.0,steppy,,,,,44.0,39.0,https://pypi.org/project/steppy,2018-11-23 09:49:59.000000,5.0,133.0,133.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n817,celer,mathurinm/celer,,sklearn-utils,https://github.com/mathurinm/celer,https://github.com/mathurinm/celer,BSD-3-Clause,2018-02-20 19:37:31.000000,2021-04-16 13:53:18.000000,2021-04-16 13:43:48.000000,21,16.0,52.0,118.0,218.0,\"Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.\",9.0,16,False,2020-10-12 12:26:09.000000,0.5.1,10.0,celer,,,,['sklearn'],4.0,4.0,https://pypi.org/project/celer,2020-12-09 13:19:10.000000,,223.0,223.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n818,dabl,amueller/dabl,,sklearn-utils,https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49.000000,2021-07-09 20:34:09.000000,2021-07-09 18:47:52.000000,8,1.0,,88.0,,Data Analysis Baseline Library.,21.0,16,False,2021-07-09 19:20:43.000000,0.2.2,12.0,dabl,,,,['sklearn'],,,https://pypi.org/project/dabl,2021-07-09 19:20:43.000000,,1997.0,1997.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n819,OpenNRE,thunlp/OpenNRE,,nlp,https://github.com/thunlp/OpenNRE,https://github.com/thunlp/OpenNRE,MIT,2017-02-26 07:37:12.000000,2021-06-21 10:38:53.000000,2021-05-31 02:53:22.000000,864,21.0,313.0,3206.0,158.0,An Open-Source Package for Neural Relation Extraction (NRE).,9.0,15,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n820,Torch-Struct,harvardnlp/pytorch-struct,,pytorch-utils,https://github.com/harvardnlp/pytorch-struct,https://github.com/harvardnlp/pytorch-struct,MIT,2019-08-26 19:34:30.000000,2021-05-09 17:27:03.000000,2021-05-09 17:25:02.000000,72,18.0,25.0,960.0,262.0,\"Fast, general, and tested differentiable structured prediction in PyTorch.\",13.0,15,True,2021-02-15 20:20:59.000000,0.5,2.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n821,torchsde,google-research/torchsde,,pytorch-utils,https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11.000000,2021-07-07 11:41:52.000000,2021-07-07 11:41:52.000000,76,6.0,32.0,771.0,154.0,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,5.0,15,True,2021-01-05 18:31:38.000000,0.2.4,4.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n822,MedicalTorch,perone/medicaltorch,,medical-data,https://github.com/perone/medicaltorch,https://github.com/perone/medicaltorch,Apache-2.0,2018-02-27 02:50:07.000000,2021-04-16 18:50:54.000000,2021-04-16 18:50:54.000000,110,14.0,9.0,737.0,57.0,A medical imaging framework for Pytorch.,8.0,15,True,2018-11-24 00:33:11.000000,0.2,2.0,medicaltorch,,,,['pytorch'],10.0,10.0,https://pypi.org/project/medicaltorch,2018-11-24 00:29:36.000000,,101.0,101.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n823,Translate,pytorch/translate,,nlp,https://github.com/pytorch/translate,https://github.com/pytorch/translate,BSD-3-Clause,2018-04-24 16:44:04.000000,2021-06-30 10:47:11.000000,2021-05-05 05:16:56.000000,169,66.0,27.0,702.0,807.0,Translate - a PyTorch Language Library.,86.0,15,True,,,1.0,pytorch-translate,,,,['pytorch'],,,https://pypi.org/project/pytorch-translate,2018-05-01 19:59:40.000000,,11.0,11.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n824,madgrad,facebookresearch/madgrad,,pytorch-utils,https://github.com/facebookresearch/madgrad,https://github.com/facebookresearch/madgrad,MIT,2021-01-12 19:41:06.000000,2021-04-01 13:54:29.000000,2021-04-01 13:46:36.000000,48,2.0,7.0,702.0,12.0,MADGRAD Optimization Method.,1.0,15,True,,,2.0,madgrad,,,,['pytorch'],13.0,13.0,https://pypi.org/project/madgrad,2021-04-01 13:54:29.000000,,5380.0,5380.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n825,HyperparameterHunter,HunterMcGushion/hyperparameter_hunter,,hyperopt,https://github.com/HunterMcGushion/hyperparameter_hunter,https://github.com/HunterMcGushion/hyperparameter_hunter,MIT,2018-06-01 23:17:00.000000,2021-01-20 03:52:41.000000,2021-01-20 03:52:40.000000,83,37.0,84.0,658.0,1096.0,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries.,4.0,15,True,2019-08-06 09:09:45.000000,3.0.0,16.0,hyperparameter-hunter,,,,,2.0,,https://pypi.org/project/hyperparameter-hunter,2019-08-06 08:52:20.000000,2.0,122.0,131.0,,,,,,,,3.0,327.0,,,,,,,,,,,,,,,,,,,,\n826,ThunderGBM,Xtra-Computing/thundergbm,,ml-frameworks,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08.000000,2021-04-01 02:08:51.000000,2021-01-05 04:22:15.000000,78,22.0,28.0,602.0,606.0,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,10.0,15,True,2020-05-01 23:16:25.000000,0.3.16,24.0,thundergbm,,,,,,,https://pypi.org/project/thundergbm,2020-05-01 23:16:25.000000,,107.0,107.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n827,textflint,textflint/textflint,,adversarial,https://github.com/textflint/textflint,https://github.com/textflint/textflint,GPL-3.0,2021-03-06 11:15:52.000000,2021-07-11 12:35:44.000000,2021-07-11 12:35:29.000000,69,1.0,14.0,473.0,154.0,Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing.,11.0,15,False,2021-07-09 03:21:27.000000,0.0.4,4.0,textflint,,,,,1.0,1.0,https://pypi.org/project/textflint,2021-07-09 03:21:27.000000,,134.0,134.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n828,pytorch_tabular,manujosephv/pytorch_tabular,,tabular,https://github.com/manujosephv/pytorch_tabular,https://github.com/manujosephv/pytorch_tabular,MIT,2020-12-15 07:17:03.000000,2021-07-09 00:52:53.000000,2021-07-09 00:52:53.000000,30,12.0,16.0,362.0,,A standard framework for modelling Deep Learning Models for tabular data.,2.0,15,True,2021-06-20 06:57:47.000000,0.6.0,7.0,pytorch_tabular,,,,['pytorch'],,,https://pypi.org/project/pytorch_tabular,2021-06-20 06:57:47.000000,,1077.0,1077.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n829,tfdeploy,riga/tfdeploy,,model-serialisation,https://github.com/riga/tfdeploy,https://github.com/riga/tfdeploy,BSD-3-Clause,2016-03-07 13:08:21.000000,2021-01-08 09:52:54.000000,2021-01-08 09:52:49.000000,38,10.0,23.0,346.0,170.0,Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.,4.0,15,True,2017-03-30 10:51:26.000000,0.4.2,22.0,tfdeploy,,,,['tensorflow'],2.0,,https://pypi.org/project/tfdeploy,2017-03-30 10:51:26.000000,2.0,93.0,93.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n830,TransferNLP,feedly/transfer-nlp,,nlp,https://github.com/feedly/transfer-nlp,https://github.com/feedly/transfer-nlp,MIT,2019-03-12 20:00:31.000000,2020-05-28 19:00:02.000000,2020-05-28 17:31:53.000000,18,4.0,20.0,287.0,465.0,NLP library designed for reproducible experimentation management.,7.0,15,False,2020-05-28 19:00:02.000000,0.1.6,8.0,transfer-nlp,,,,['pytorch'],,,https://pypi.org/project/transfer-nlp,2020-05-28 19:00:02.000000,,169.0,169.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n831,data-describe,data-describe/data-describe,,data-viz,https://github.com/data-describe/data-describe,https://github.com/data-describe/data-describe,Apache-2.0,2020-05-04 17:58:14.000000,2021-07-02 20:30:09.000000,2021-03-02 19:30:45.000000,15,69.0,175.0,284.0,695.0,datadescribe: Pythonic EDA Accelerator for Data Science.,14.0,15,False,,,5.0,data-describe,,,,,,,https://pypi.org/project/data-describe,2020-12-03 23:07:43.000000,,200.0,200.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n832,interpret-text,interpretml/interpret-text,,interpretability,https://github.com/interpretml/interpret-text,https://github.com/interpretml/interpret-text,MIT,2019-09-04 16:39:48.000000,2021-06-17 01:09:14.000000,2021-03-02 02:33:00.000000,48,30.0,16.0,259.0,143.0,A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the..,17.0,15,False,2020-05-20 23:42:32.000000,0.1.2,3.0,interpret-text,,,,['jupyter'],,,https://pypi.org/project/interpret-text,2020-05-20 23:42:32.000000,,104.0,104.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n833,NeuralQA,victordibia/neuralqa,,nlp,https://github.com/victordibia/neuralqa,https://github.com/victordibia/neuralqa,MIT,2020-05-19 03:55:56.000000,2021-06-08 12:29:19.000000,2020-12-16 17:41:37.000000,30,31.0,8.0,199.0,312.0,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,3.0,15,False,,,27.0,neuralqa,,,,,2.0,2.0,https://pypi.org/project/neuralqa,2020-09-18 17:54:50.000000,,127.0,127.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n834,backprop,backprop-ai/backprop,,model-serialisation,https://github.com/backprop-ai/backprop,https://github.com/backprop-ai/backprop,Apache-2.0,2020-10-30 15:25:14.000000,2021-05-03 09:15:25.000000,2021-05-03 09:15:21.000000,9,,4.0,193.0,,\"Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.\",8.0,15,False,2021-04-20 13:53:12.000000,0.1.2,14.0,backprop,,,,,,,https://pypi.org/project/backprop,2021-04-20 13:53:12.000000,,206.0,206.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n835,ONNX-T5,abelriboulot/onnxt5,,nlp,https://github.com/abelriboulot/onnxt5,https://github.com/abelriboulot/onnxt5,Apache-2.0,2020-08-01 09:38:35.000000,2021-01-28 09:26:15.000000,2021-01-28 09:24:52.000000,21,6.0,8.0,172.0,74.0,\"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..\",3.0,15,False,2021-01-28 09:26:15.000000,0.1.8,11.0,onnxt5,,,,,,,https://pypi.org/project/onnxt5,2021-01-28 09:26:15.000000,,166.0,166.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n836,Auptimizer,LGE-ARC-AdvancedAI/auptimizer,,hyperopt,https://github.com/LGE-ARC-AdvancedAI/auptimizer,https://github.com/LGE-ARC-AdvancedAI/auptimizer,GPL-3.0,2019-09-12 01:08:37.000000,2021-05-21 14:45:19.000000,2021-03-03 01:30:06.000000,21,1.0,5.0,170.0,79.0,An automatic ML model optimization tool.,11.0,15,False,2021-03-03 02:00:23.000000,2.0,7.0,auptimizer,,,,,,,https://pypi.org/project/auptimizer,2021-03-02 02:40:32.000000,,166.0,166.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n837,TorchDrift,torchdrift/torchdrift,,pytorch-utils,https://github.com/TorchDrift/TorchDrift,https://github.com/TorchDrift/TorchDrift,Apache-2.0,2021-02-10 09:27:48.000000,2021-06-29 11:52:29.000000,2021-06-29 11:52:29.000000,4,1.0,3.0,159.0,33.0,Drift Detection for your PyTorch Models.,2.0,15,False,2021-03-08 12:21:48.000000,0.1.0,3.0,torchdrift,,,,['pytorch'],8.0,8.0,https://pypi.org/project/torchdrift,2021-03-08 12:51:05.000000,,222.0,222.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n838,ModelChimp,ModelChimp/modelchimp,,ml-experiments,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03.000000,2021-07-15 09:26:46.000000,2021-02-15 13:37:13.000000,12,4.0,10.0,121.0,361.0,Experiment tracking for machine and deep learning projects.,3.0,15,False,2019-04-09 10:43:15.000000,0.4.0,37.0,modelchimp,,modelchimp/modelchimp-server,,,,,https://pypi.org/project/modelchimp,2019-04-09 10:41:20.000000,,177.0,196.0,,,,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,639.0,3.0,,,,,,,,,,,,,,,,,,,,,\n839,Euler,alibaba/euler,,graph,https://github.com/alibaba/euler,https://github.com/alibaba/euler,Apache-2.0,2019-01-10 06:32:32.000000,2021-04-19 11:30:28.000000,2020-07-29 05:53:01.000000,522,211.0,102.0,2610.0,8.0,A distributed graph deep learning framework.,5.0,14,True,2020-07-07 02:24:18.000000,2.0.0,2.0,euler-gl,,,,['tensorflow'],,,https://pypi.org/project/euler-gl,2019-04-10 01:53:45.000000,,18.0,18.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n840,GraphSAGE,williamleif/GraphSAGE,,graph,https://github.com/williamleif/GraphSAGE,https://github.com/williamleif/GraphSAGE,MIT,2017-05-29 15:36:22.000000,2021-05-21 14:52:52.000000,2018-09-19 19:27:00.000000,664,86.0,58.0,2398.0,59.0,Representation learning on large graphs using stochastic graph convolutions.,9.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n841,ZhuSuan,thu-ml/zhusuan,,probabilistics,https://github.com/thu-ml/zhusuan,https://github.com/thu-ml/zhusuan,MIT,2016-07-18 13:31:38.000000,2020-01-09 14:51:27.000000,2019-08-05 10:00:04.000000,393,8.0,53.0,2057.0,439.0,\"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.\",20.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n842,micrograd,karpathy/micrograd,,pytorch-utils,https://github.com/karpathy/micrograd,https://github.com/karpathy/micrograd,MIT,2020-04-13 04:31:18.000000,2021-06-24 12:28:13.000000,2020-04-18 19:15:25.000000,137,2.0,3.0,1761.0,24.0,A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.,2.0,14,False,2020-04-18 19:06:59.000000,0.1.0,1.0,micrograd,,,,['pytorch'],1.0,1.0,https://pypi.org/project/micrograd,2020-04-18 19:06:59.000000,0.0,56.0,56.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n843,Anchor,marcotcr/anchor,,interpretability,https://github.com/marcotcr/anchor,https://github.com/marcotcr/anchor,BSD-2-Clause,2018-02-02 23:38:50.000000,2021-04-19 22:37:30.000000,2021-04-19 22:37:22.000000,89,16.0,46.0,653.0,42.0,Code for High-Precision Model-Agnostic Explanations paper.,8.0,14,True,,,8.0,anchor_exp,,,,,,,https://pypi.org/project/anchor_exp,2020-06-26 20:56:50.000000,,663.0,663.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n844,AutoGL,THUMNLab/AutoGL,,graph,https://github.com/THUMNLab/AutoGL,https://github.com/THUMNLab/AutoGL,Apache-2.0,2020-11-30 14:26:22.000000,2021-07-15 13:32:28.000000,2021-07-15 13:26:50.000000,69,5.0,8.0,652.0,,An autoML framework & toolkit for machine learning on graphs.,9.0,14,True,2020-12-23 08:15:15.000000,0.1.1,2.0,auto-graph-learning,,,,['pytorch'],,,https://pypi.org/project/auto-graph-learning,2020-12-23 08:05:25.000000,,64.0,64.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n845,cuSignal,rapidsai/cusignal,,gpu-utilities,https://github.com/rapidsai/cusignal,https://github.com/rapidsai/cusignal,Apache-2.0,2019-08-22 14:27:27.000000,2021-07-14 18:43:50.000000,2021-07-14 18:43:50.000000,66,15.0,103.0,505.0,,GPU accelerated signal processing.,31.0,14,True,2021-06-09 16:42:33.000000,21.06.00,7.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n846,PandaPy,firmai/pandapy,,data-containers,https://github.com/firmai/pandapy,https://github.com/firmai/pandapy,MIT,2020-01-15 18:21:23.000000,2021-06-06 06:59:37.000000,2020-11-12 16:18:44.000000,49,2.0,1.0,478.0,83.0,PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai).,3.0,14,True,2020-11-12 16:12:54.000000,zen,22.0,pandapy,,,,['pandas'],1.0,1.0,https://pypi.org/project/pandapy,2020-01-25 23:10:32.000000,,66.0,66.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n847,Adversary,airbnb/artificial-adversary,,adversarial,https://github.com/airbnb/artificial-adversary,https://github.com/airbnb/artificial-adversary,MIT,2018-08-08 04:42:11.000000,2018-10-14 05:34:44.000000,2018-08-29 15:31:30.000000,51,6.0,,352.0,15.0,Tool to generate adversarial text examples and test machine learning models against them.,5.0,14,False,2018-08-29 15:14:41.000000,1.1.1,3.0,Adversary,,,,,6.0,6.0,https://pypi.org/project/Adversary,2018-08-29 15:14:41.000000,0.0,89.0,89.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n848,pykale,pykale/pykale,,others,https://github.com/pykale/pykale,https://github.com/pykale/pykale,MIT,2020-06-30 08:06:10.000000,2021-07-13 14:22:54.000000,2021-07-06 19:25:28.000000,20,13.0,23.0,248.0,,Knowledge-Aware machine LEarning (KALE) from multiple sources in Python.,12.0,14,False,2021-06-21 08:53:21.000000,0.1.0rc2,6.0,pykale,,,,['pytorch'],,,https://pypi.org/project/pykale,2021-06-21 08:54:23.000000,,150.0,150.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n849,tsaug,arundo/tsaug,,time-series-data,https://github.com/arundo/tsaug,https://github.com/arundo/tsaug,Apache-2.0,2019-09-27 00:38:05.000000,2020-04-17 02:55:58.000000,2020-04-17 02:46:38.000000,19,6.0,3.0,199.0,10.0,A Python package for time series augmentation.,4.0,14,False,2020-04-17 02:50:25.000000,0.2.1,4.0,tsaug,,,,,,,https://pypi.org/project/tsaug,2020-04-17 02:50:25.000000,,1500.0,1500.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n850,launchpad,deepmind/launchpad,,distributed-ml,https://github.com/deepmind/launchpad,https://github.com/deepmind/launchpad,Apache-2.0,2021-02-18 15:16:49.000000,2021-07-15 13:41:06.000000,2021-07-15 13:40:19.000000,11,2.0,9.0,196.0,113.0,Launchpad is a library that simplifies writing distributed programs and seamlessly launching them on a range of..,10.0,14,False,2021-05-19 06:05:12.000000,0.3.0,3.0,dm-launchpad,,,,['tensorflow'],,,https://pypi.org/project/dm-launchpad,2021-05-19 06:05:12.000000,,98.0,98.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n851,textvec,textvec/textvec,,nlp,https://github.com/textvec/textvec,https://github.com/textvec/textvec,MIT,2018-04-12 14:03:53.000000,2020-12-03 14:23:11.000000,2020-12-03 14:23:04.000000,21,2.0,6.0,173.0,70.0,Text vectorization tool to outperform TFIDF for classification tasks.,4.0,14,False,2019-09-12 07:41:04.000000,2.0,4.0,textvec,,,,['sklearn'],4.0,4.0,https://pypi.org/project/textvec,2020-12-03 14:17:09.000000,,114.0,114.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n852,DeepNeuro,QTIM-Lab/DeepNeuro,,medical-data,https://github.com/QTIM-Lab/DeepNeuro,https://github.com/QTIM-Lab/DeepNeuro,MIT,2017-06-01 19:36:34.000000,2020-06-24 13:00:15.000000,2020-06-24 13:00:14.000000,32,27.0,16.0,104.0,285.0,A deep learning python package for neuroimaging data. Made by:.,6.0,14,False,2019-06-10 21:04:04.000000,0.2.3,6.0,deepneuro,,,,,1.0,1.0,https://pypi.org/project/deepneuro,2019-06-10 21:04:04.000000,,54.0,54.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n853,Hypermax,electricbrainio/hypermax,,hyperopt,https://github.com/electricbrainio/hypermax,https://github.com/electricbrainio/hypermax,BSD-3-Clause,2018-07-27 18:43:01.000000,2020-08-02 18:08:50.000000,2020-08-02 18:08:46.000000,14,3.0,1.0,96.0,207.0,\"Better, faster hyper-parameter optimization.\",9.0,14,False,2019-10-23 15:40:12.000000,0.5.1,11.0,hypermax,,,,,4.0,4.0,https://pypi.org/project/hypermax,2019-10-23 15:40:12.000000,,37.0,37.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n854,contextual-ai,SAP/contextual-ai,,interpretability,https://github.com/SAP/contextual-ai,https://github.com/SAP/contextual-ai,Apache-2.0,2020-05-12 07:15:56.000000,2021-03-25 23:48:34.000000,2021-01-25 04:03:23.000000,9,5.0,1.0,69.0,621.0,\"Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference -..\",10.0,14,False,2021-01-25 04:56:57.000000,0.0.2,2.0,contextual-ai,,,,,,,https://pypi.org/project/contextual-ai,2021-01-25 04:56:57.000000,,202.0,202.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n855,nptsne,biovault/nptsne,,data-viz,https://github.com/biovault/nptsne,https://github.com/biovault/nptsne,Apache-2.0,2019-06-28 08:40:25.000000,2021-06-30 15:55:11.000000,2021-02-03 08:52:27.000000,2,6.0,5.0,25.0,857.0,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,3.0,14,False,2020-09-10 23:54:14.000000,1.1.0,2.0,nptsne,,,,,3.0,3.0,https://pypi.org/project/nptsne,2020-09-10 23:54:14.000000,,101.0,101.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n856,StarSpace,facebookresearch/StarSpace,,ml-frameworks,https://github.com/facebookresearch/StarSpace,https://github.com/facebookresearch/StarSpace,MIT,2017-06-28 17:50:18.000000,2021-04-23 05:17:29.000000,2019-12-13 19:03:25.000000,494,50.0,148.0,3630.0,138.0,\"Learning embeddings for classification, retrieval and ranking.\",17.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n857,OpenKE,thunlp/OpenKE,,graph,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,MIT,2017-10-08 11:20:23.000000,2021-04-06 08:24:33.000000,2021-04-06 08:24:50.000000,796,66.0,231.0,2632.0,97.0,An Open-Source Package for Knowledge Embedding (KE).,10.0,13,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n858,ENAS,carpedm20/ENAS-pytorch,,hyperopt,https://github.com/carpedm20/ENAS-pytorch,https://github.com/carpedm20/ENAS-pytorch,Apache-2.0,2018-02-15 04:54:37.000000,2020-12-09 18:13:03.000000,2020-06-16 07:23:32.000000,452,37.0,7.0,2455.0,53.0,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,6.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n859,OpenNE,thunlp/OpenNE,,graph,https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20.000000,2021-03-22 13:16:57.000000,2019-08-12 10:56:27.000000,454,50.0,82.0,1478.0,98.0,An Open-Source Package for Network Embedding (NE).,10.0,13,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n860,Medical Detection Toolkit,MIC-DKFZ/medicaldetectiontoolkit,,medical-data,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,Apache-2.0,2018-10-12 12:34:57.000000,2021-06-08 20:55:07.000000,2021-05-31 17:04:14.000000,261,37.0,85.0,1001.0,38.0,\"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..\",3.0,13,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n861,deltapy,firmai/deltapy,,tabular,https://github.com/firmai/deltapy,https://github.com/firmai/deltapy,MIT,2020-04-08 05:27:53.000000,2021-01-21 16:27:58.000000,2021-01-21 16:27:57.000000,33,2.0,,357.0,37.0,DeltaPy - Tabular Data Augmentation (by @firmai).,4.0,13,True,2020-11-12 16:13:21.000000,zen,11.0,deltapy,,,,,2.0,2.0,https://pypi.org/project/deltapy,2020-04-09 01:48:32.000000,,81.0,81.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n862,fastT5,Ki6an/fastT5,,nlp,https://github.com/Ki6an/fastT5,https://github.com/Ki6an/fastT5,Apache-2.0,2021-03-11 08:46:42.000000,2021-07-15 09:51:05.000000,2021-07-15 09:46:50.000000,17,9.0,10.0,182.0,11.0,boost inference speed of T5 models by 5x & reduce the model size by 3x.,2.0,13,False,2021-07-15 09:51:05.000000,0.0.6,6.0,fastt5,,,,,1.0,1.0,https://pypi.org/project/fastt5,2021-07-15 09:51:05.000000,,687.0,687.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n863,numerizer,jaidevd/numerizer,,nlp,https://github.com/jaidevd/numerizer,https://github.com/jaidevd/numerizer,MIT,2019-12-02 07:00:34.000000,2021-04-04 05:05:33.000000,2021-04-03 04:27:49.000000,7,1.0,4.0,119.0,17.0,A Python module to convert natural language numerics into ints and floats.,2.0,13,False,2021-04-03 04:33:45.000000,0.2.0,8.0,numerizer,,,,,9.0,9.0,https://pypi.org/project/numerizer,2021-04-03 04:33:45.000000,,264.0,264.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n864,Attribution Priors,suinleelab/attributionpriors,,interpretability,https://github.com/suinleelab/attributionpriors,https://github.com/suinleelab/attributionpriors,MIT,2019-06-24 23:54:24.000000,2021-03-19 19:43:58.000000,2021-03-19 19:43:51.000000,7,1.0,3.0,83.0,72.0,Tools for training explainable models using attribution priors.,6.0,13,False,2021-03-16 17:47:18.000000,1.0.0,4.0,attributionpriors,,,,\"['tensorflow', 'pytorch']\",2.0,2.0,https://pypi.org/project/attributionpriors,2019-10-31 18:03:05.000000,,55.0,55.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n865,featurewiz,AutoViML/featurewiz,,hyperopt,https://github.com/AutoViML/featurewiz,https://github.com/AutoViML/featurewiz,Apache-2.0,2020-11-29 16:46:16.000000,2021-07-13 12:15:03.000000,2021-07-08 21:39:56.000000,19,2.0,1.0,67.0,,Use advanced feature engineering strategies and select the best features from your data set fast with a single line of..,2.0,13,False,2021-07-08 21:40:45.000000,0.0.42,42.0,featurewiz,,,,,,,https://pypi.org/project/featurewiz,2021-07-08 21:40:45.000000,,1089.0,1089.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n866,nylon,Palashio/nylon,,others,https://github.com/Palashio/nylon,https://github.com/Palashio/nylon,MIT,2021-06-04 17:33:49.000000,2021-07-12 21:19:40.000000,2021-06-29 15:05:17.000000,8,14.0,17.0,62.0,,\"An intelligent, flexible grammar of machine learning.\",3.0,13,False,2021-06-25 14:27:32.000000,0.0.7,8.0,nylon-ai,,,,,,,https://pypi.org/project/nylon-ai,2021-06-25 14:27:32.000000,,318.0,318.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n867,surpriver,tradytics/surpriver,,financial-data,https://github.com/tradytics/surpriver,https://github.com/tradytics/surpriver,GPL-3.0,2020-08-30 07:56:22.000000,2020-11-13 00:48:16.000000,2020-09-21 04:32:05.000000,239,10.0,5.0,1254.0,64.0,Find big moving stocks before they move using machine learning and anomaly detection.,6.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n868,MedicalNet,Tencent/MedicalNet,,medical-data,https://github.com/Tencent/MedicalNet,https://github.com/Tencent/MedicalNet,MIT,2019-07-17 09:53:10.000000,2020-08-27 13:37:27.000000,2020-08-27 13:37:26.000000,318,47.0,14.0,1144.0,26.0,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,1.0,12,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n869,GraphVite,DeepGraphLearning/graphvite,,graph,https://github.com/DeepGraphLearning/graphvite,https://github.com/DeepGraphLearning/graphvite,Apache-2.0,2019-07-16 15:48:20.000000,2021-01-14 02:19:03.000000,2021-01-14 02:18:46.000000,122,30.0,56.0,916.0,15.0,GraphVite: A General and High-performance Graph Embedding System.,1.0,12,True,,,4.0,,milagraph/graphvite,,,,,,,,,,165.0,https://anaconda.org/milagraph/graphvite,2020-03-19 18:21:30.972000,3813.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n870,BLINK,facebookresearch/BLINK,,nlp,https://github.com/facebookresearch/BLINK,https://github.com/facebookresearch/BLINK,MIT,2019-09-25 21:27:44.000000,2021-04-02 03:03:43.000000,2021-04-02 03:03:34.000000,107,34.0,28.0,667.0,211.0,Entity Linker solution.,16.0,12,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n871,autodist,petuum/autodist,,distributed-ml,https://github.com/petuum/autodist,https://github.com/petuum/autodist,Apache-2.0,2020-06-29 19:45:38.000000,2021-04-12 21:55:36.000000,2021-01-28 00:04:40.000000,20,11.0,1.0,100.0,208.0,Simple Distributed Deep Learning on TensorFlow.,11.0,12,False,,,2.0,autodist,,,,['tensorflow'],,,https://pypi.org/project/autodist,2020-07-16 05:36:19.000000,,39.0,39.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n872,LazyCluster,ml-tooling/lazycluster,,distributed-ml,https://github.com/ml-tooling/lazycluster,https://github.com/ml-tooling/lazycluster,Apache-2.0,2019-08-07 08:05:13.000000,2021-07-14 02:07:41.000000,2020-12-14 15:24:53.000000,6,,,40.0,,Distributed machine learning made simple.,2.0,12,False,2020-12-14 15:25:59.000000,0.2.4,5.0,lazycluster,,,,,7.0,7.0,https://pypi.org/project/lazycluster,2020-12-14 14:49:33.000000,,81.0,81.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n873,spacy-dbpedia-spotlight,MartinoMensio/spacy-dbpedia-spotlight,,nlp,https://github.com/MartinoMensio/spacy-dbpedia-spotlight,https://github.com/MartinoMensio/spacy-dbpedia-spotlight,MIT,2020-04-29 19:35:04.000000,2021-04-12 13:38:53.000000,2021-04-12 13:38:47.000000,4,5.0,,37.0,13.0,A spaCy wrapper for DBpedia Spotlight.,1.0,12,False,2021-04-12 13:25:07.000000,0.2.1,6.0,spacy-dbpedia-spotlight,,,,['spacy'],,,https://pypi.org/project/spacy-dbpedia-spotlight,2021-04-09 13:21:45.000000,,228.0,228.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n874,bias-detector,intuit/bias-detector,,interpretability,https://github.com/intuit/bias-detector,https://github.com/intuit/bias-detector,MIT,2021-02-02 16:58:52.000000,2021-06-01 09:13:29.000000,2021-06-01 09:12:00.000000,7,,,34.0,,Bias Detector is a python package for detecting bias in machine learning models.,4.0,12,False,2021-04-22 15:20:54.000000,0.0.12,11.0,bias-detector,,,,,,,https://pypi.org/project/bias-detector,2021-04-22 15:20:54.000000,,119.0,119.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n875,model_search,google/model_search,,hyperopt,https://github.com/google/model_search,https://github.com/google/model_search,Apache-2.0,2021-01-19 18:26:34.000000,2021-03-28 10:43:16.000000,2021-03-17 17:06:04.000000,298,34.0,13.0,3099.0,8.0,AutoML algorithms for model architecture search at scale.,1.0,11,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n876,traingenerator,jrieke/traingenerator,,others,https://github.com/jrieke/traingenerator,https://github.com/jrieke/traingenerator,MIT,2020-12-03 16:47:16.000000,2021-06-28 17:42:41.000000,2021-04-29 13:46:13.000000,136,9.0,3.0,1035.0,,A web app to generate template code for machine learning.,3.0,11,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n877,Devol,joeddav/devol,,hyperopt,https://github.com/joeddav/devol,https://github.com/joeddav/devol,MIT,2017-02-10 03:07:54.000000,2020-07-05 21:56:59.000000,2020-07-05 21:56:58.000000,109,7.0,20.0,932.0,116.0,Genetic neural architecture search with Keras.,18.0,11,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n878,PySparNN,facebookresearch/pysparnn,,nn-search,https://github.com/facebookresearch/pysparnn,https://github.com/facebookresearch/pysparnn,BSD-3-Clause,2016-03-28 20:43:42.000000,2020-10-02 06:01:01.000000,2018-01-31 16:50:23.000000,142,15.0,14.0,879.0,147.0,Approximate Nearest Neighbor Search for Sparse Data in Python!.,5.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n879,Mozart,aashrafh/Mozart,,ocr,https://github.com/aashrafh/Mozart,https://github.com/aashrafh/Mozart,Apache-2.0,2020-12-14 11:49:14.000000,2021-05-05 17:21:44.000000,2021-05-05 17:21:44.000000,41,1.0,3.0,275.0,,An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.,5.0,11,False,,,,,,,,['sklearn'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n880,Maze,enlite-ai/maze,,reinforcement-learning,https://github.com/enlite-ai/maze,https://github.com/enlite-ai/maze,Custom,2021-02-11 08:26:37.000000,2021-07-14 13:03:08.000000,2021-06-24 20:06:29.000000,2,,1.0,141.0,,Maze Applied Reinforcement Learning Framework.,3.0,11,False,2021-06-24 20:08:22.000000,0.1.7,18.0,maze-rl,,enliteai/maze,,['pytorch'],1.0,1.0,https://pypi.org/project/maze-rl,2021-06-24 20:28:17.000000,,169.0,214.0,,,,https://hub.docker.com/r/enliteai/maze,2021-06-24 21:00:27.801118,,227.0,3.0,,,,,,,,,,,,,,,,,,,,,\n881,Hypertunity,gdikov/hypertunity,,hyperopt,https://github.com/gdikov/hypertunity,https://github.com/gdikov/hypertunity,Apache-2.0,2019-06-02 12:04:55.000000,2020-01-26 23:14:49.000000,2020-01-26 22:53:29.000000,9,,2.0,121.0,64.0,A toolset for black-box hyperparameter optimisation.,2.0,11,False,2020-01-26 23:08:16.000000,1.0.1,7.0,hypertunity,,,,,2.0,2.0,https://pypi.org/project/hypertunity,2020-01-26 23:08:16.000000,,27.0,27.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n882,traintool,jrieke/traintool,,ml-experiments,https://github.com/jrieke/traintool,https://github.com/jrieke/traintool,Apache-2.0,2020-09-30 22:23:05.000000,2021-03-12 01:44:04.000000,2021-03-12 01:43:14.000000,1,,,9.0,122.0,Train off-the-shelf machine learning models in one line of code.,,10,False,2020-11-02 02:25:32.000000,0.0.3,3.0,traintool,,,,\"['pytorch', 'tensorflow', 'sklearn']\",,,https://pypi.org/project/traintool,2020-11-02 02:25:32.000000,,52.0,52.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n883,Lea,,,probabilistics,,http://bitbucket.org/piedenis/lea,GPL-3.0,,2020-11-13 19:50:21.000000,,3,,,,,Discrete probability distributions in Python.,,10,False,2020-11-13 19:50:21.000000,3.4.0,50.0,lea,,,,,21.0,,https://pypi.org/project/lea,2020-11-13 19:50:21.000000,21.0,1606.0,1606.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,piedenis/lea\n"
  },
  {
    "path": "history/2021-08-19_changes.md",
    "content": "## 📈 Trending Up\n\n_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._\n\n- <b><a href=\"https://github.com/apache/beam\">Beam</a></b> (🥇34 ·  ⭐ 5K · 📈) - Unified programming model to define and execute data processing.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/zarr-developers/zarr-python\">zarr</a></b> (🥈28 ·  ⭐ 740 · 📈) - An implementation of chunked, compressed, N-dimensional arrays for Python. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/carla-simulator/carla\">carla</a></b> (🥈27 ·  ⭐ 6.4K · 📈) - Open-source simulator for autonomous driving research. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/jamesturk/jellyfish\">jellyfish</a></b> (🥈27 ·  ⭐ 1.5K · 📈) - a python library for doing approximate and phonetic matching of.. <code><a href=\"http://bit.ly/3rqEWVr\">BSD-2</a></code>\n- <b><a href=\"https://github.com/parrt/dtreeviz\">dtreeviz</a></b> (🥈26 ·  ⭐ 1.6K · 📈) - A python library for decision tree visualization and model.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/SALib/SALib\">SALib</a></b> (🥉26 ·  ⭐ 510 · 📈) - Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST,.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/twopirllc/pandas-ta\">pandas-ta</a></b> (🥉25 ·  ⭐ 1.5K · 📈) - Technical Analysis Indicators - Pandas TA is an easy to use.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1S\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/rsteca/sklearn-deap\">sklearn-deap</a></b> (🥉21 ·  ⭐ 650 · 📈) - Use evolutionary algorithms instead of gridsearch in.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/scikit-tda/scikit-tda\">scikit-tda</a></b> (🥉20 ·  ⭐ 300 · 📈) - Topological Data Analysis for Python. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/enlite-ai/maze\">Maze</a></b> (🥉14 ·  ⭐ 160 · 🐣) - Maze Applied Reinforcement Learning Framework. <code><a href=\"https://tldrlegal.com/search?q=Custom\">❗️Custom</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n\n## 📉 Trending Down\n\n_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._\n\n- <b><a href=\"https://github.com/pytorch/pytorch\">PyTorch</a></b> (🥇39 ·  ⭐ 50K · 📉) - Tensors and Dynamic neural networks in Python with strong GPU.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/ray-project/ray\">Ray</a></b> (🥇32 ·  ⭐ 17K · 📉) - An open source framework that provides a simple, universal API for.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/apache/flink\">PyFlink</a></b> (🥈30 ·  ⭐ 17K · 📉) - Apache Flink Python API. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/tensorflow/datasets\">TensorFlow Datasets</a></b> (🥈30 ·  ⭐ 2.9K · 📉) - TFDS is a collection of datasets ready to use with.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/pytorch/audio\">torchaudio</a></b> (🥈26 ·  ⭐ 1.4K · 📉) - Data manipulation and transformation for audio signal.. <code><a href=\"http://bit.ly/3rqEWVr\">BSD-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/pytorch/serve\">TorchServe</a></b> (🥈24 ·  ⭐ 2K · 📉) - Model Serving on PyTorch. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/facebookresearch/pytorch3d\">PyTorch3D</a></b> (🥉22 ·  ⭐ 5.1K · 📉) - PyTorch3D is FAIR's library of reusable components.. <code>❗Unlicensed</code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/databand-ai/dbnd\">dbnd</a></b> (🥉21 ·  ⭐ 200 · 📉) - DBND is an agile pipeline framework that helps data engineering teams.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/hi-primus/optimus\">Optimus</a></b> (🥉18 ·  ⭐ 1K · 📉) - Agile Data Preparation Workflows madeeasy with Pandas, Dask,.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1N\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/dstackai/dstack\">dstack</a></b> (🥉13 ·  ⭐ 180 · 📉) - An open-source tool to rapidly develop data applications with.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n\n"
  },
  {
    "path": "history/2021-08-19_projects.csv",
    "content": ",name,github_id,resource,category,github_url,homepage,license,created_at,updated_at,last_commit_pushed_at,fork_count,open_issue_count,closed_issue_count,star_count,commit_count,description,contributor_count,projectrank,show,latest_stable_release_published_at,latest_stable_release_number,release_count,pypi_id,conda_id,dockerhub_id,docs_url,labels,dependent_project_count,github_dependent_project_count,pypi_url,pypi_latest_release_published_at,pypi_dependent_project_count,pypi_monthly_downloads,monthly_downloads,conda_url,conda_latest_release_published_at,conda_total_downloads,dockerhub_url,dockerhub_latest_release_published_at,dockerhub_stars,dockerhub_pulls,projectrank_placing,github_release_downloads,trending,helm_id,npm_id,npm_url,npm_latest_release_published_at,npm_dependent_project_count,npm_monthly_downloads,conda_dependent_project_count,brew_id,apt_id,yum_id,updated_github_id,snap_id,dnf_id,yay_id,maven_id,maven_url,maven_latest_release_published_at,maven_dependent_project_count,bitbucket_id\n0,ANN Benchmarks,erikbern/ann-benchmarks,True,nn-search,https://github.com/erikbern/ann-benchmarks,https://github.com/erikbern/ann-benchmarks,MIT,2015-05-28 13:21:43.000000,2021-08-11 14:43:45.000000,2021-08-09 09:52:28.000000,382,35.0,66.0,2430.0,1228.0,Benchmarks of approximate nearest neighbor libraries in Python.,59.0,0,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n1,best-of-web-python - Web Scraping,ml-tooling/best-of-web-python,True,web-scraping,https://github.com/ml-tooling/best-of-web-python,https://github.com/ml-tooling/best-of-web-python#web-scraping--crawling,CC-BY-SA-4.0,2021-01-05 13:09:27.000000,2021-08-19 15:23:38.000000,2021-07-16 21:43:54.000000,86,1.0,2.0,1306.0,,Collection of web-scraping and crawling libraries.,6.0,0,True,2021-07-16 21:44:03.000000,2021.07.15,21.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n2,best-of-python - Data Extraction,ml-tooling/best-of-python,True,data-loading,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-loading--extraction,CC-BY-SA-4.0,2021-01-11 19:11:32.000000,2021-08-19 14:59:25.000000,2021-07-16 21:43:31.000000,134,1.0,4.0,1723.0,,Collection of data-loading and -extraction libraries.,5.0,0,True,2021-07-16 21:43:43.000000,2021.07.15,22.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n3,best-of-python - DB Clients,ml-tooling/best-of-python,True,db-clients,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#database-clients,CC-BY-SA-4.0,2021-01-11 19:11:32.000000,2021-08-19 14:59:25.000000,2021-07-16 21:43:31.000000,134,1.0,4.0,1723.0,,Collection of database clients for python.,5.0,0,True,2021-07-16 21:43:43.000000,2021.07.15,22.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n4,Tensorflow,tensorflow/tensorflow,,ml-frameworks,https://github.com/tensorflow/tensorflow,https://github.com/tensorflow/tensorflow,Apache-2.0,2015-11-07 01:19:20.000000,2021-08-19 13:45:29.000000,2021-08-19 10:56:01.000000,85110,3599.0,29267.0,160444.0,116358.0,An Open Source Machine Learning Framework for Everyone.,3764.0,44,True,2021-08-12 16:04:34.000000,2.4.3,132.0,tensorflow,conda-forge/tensorflow,tensorflow/tensorflow,https://www.tensorflow.org/overview,['tensorflow'],176126.0,153602.0,https://pypi.org/project/tensorflow,2021-08-11 17:09:07.000000,22524.0,10881923.0,11763223.0,https://anaconda.org/conda-forge/tensorflow,2021-04-30 05:11:44.185000,2735881.0,https://hub.docker.com/r/tensorflow/tensorflow,2021-08-19 13:35:38.185512,1935.0,57905522.0,1.0,,,,,,,,,,,,,,,,,,,,,\n5,pandas,pandas-dev/pandas,,data-containers,https://github.com/pandas-dev/pandas,https://github.com/pandas-dev/pandas,BSD-3-Clause,2010-08-24 01:37:33.000000,2021-08-19 14:54:45.000000,2021-08-19 12:56:02.000000,12878,3567.0,17716.0,30740.0,27534.0,\"Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R..\",2757.0,43,True,2021-08-15 16:14:47.000000,1.3.2,96.0,pandas,conda-forge/pandas,,,['pandas'],588326.0,511542.0,https://pypi.org/project/pandas,2021-08-15 16:14:47.000000,76784.0,77974988.0,78270762.0,https://anaconda.org/conda-forge/pandas,2021-08-16 17:26:49.855000,18552576.0,,,,,1.0,117324.0,,,,,,,,,,,,,,,,,,,,\n6,Matplotlib,matplotlib/matplotlib,,data-viz,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,Python-2.0,2011-02-19 03:17:12.000000,2021-08-19 14:02:15.000000,2021-08-19 14:02:15.000000,5961,1662.0,6462.0,14076.0,39976.0,matplotlib: plotting with Python.,1264.0,42,True,2021-08-13 03:27:23.000000,3.4.3,69.0,matplotlib,conda-forge/matplotlib,,,,495527.0,416423.0,https://pypi.org/project/matplotlib,2021-08-13 03:23:56.000000,79104.0,28728532.0,28863105.0,https://anaconda.org/conda-forge/matplotlib,2021-08-17 03:07:59.440000,9554704.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n7,scipy,scipy/scipy,,others,https://github.com/scipy/scipy,https://github.com/scipy/scipy,BSD-3-Clause,2011-03-09 18:52:03.000000,2021-08-19 11:04:36.000000,2021-08-19 11:04:36.000000,3814,1763.0,6055.0,8482.0,26169.0,\"Ecosystem of open-source software for mathematics, science, and engineering.\",1151.0,42,True,2021-08-02 02:24:12.000000,1.7.1,67.0,scipy,conda-forge/scipy,,,,472075.0,385213.0,https://pypi.org/project/scipy,2021-08-02 00:14:42.000000,86862.0,30122265.0,30394174.0,https://anaconda.org/conda-forge/scipy,2021-08-06 15:58:05.659000,16850394.0,,,,,1.0,324407.0,,,,,,,,,,,,,,,,,,,,\n8,Pillow,python-pillow/Pillow,,image,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000000,2021-08-18 15:56:05.000000,2021-08-18 15:56:05.000000,1691,196.0,2108.0,8864.0,12070.0,The friendly PIL fork (Python Imaging Library).,370.0,40,True,2021-07-07 00:05:31.000000,8.3.1,82.0,Pillow,conda-forge/pillow,,,,645545.0,534119.0,https://pypi.org/project/Pillow,2021-07-06 23:56:58.000000,111426.0,31630470.0,31783890.0,https://anaconda.org/conda-forge/pillow,2021-08-06 18:57:18.687000,9818883.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n9,PyTorch,pytorch/pytorch,,ml-frameworks,https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41.000000,2021-08-19 14:03:16.000000,2021-08-19 13:50:56.000000,13636,9636.0,15149.0,50219.0,39427.0,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,2819.0,39,True,2021-08-17 18:33:00.000000,1.8.2,34.0,torch,pytorch/pytorch,,https://pytorch.org/docs/stable/index.html,['pytorch'],6682.0,,https://pypi.org/project/torch,2021-06-15 15:09:35.000000,6682.0,4815896.0,5091155.0,https://anaconda.org/pytorch/pytorch,2021-06-15 16:26:06.511000,12386694.0,,,,,1.0,,-2.0,,,,,,,,,,,,,,,,,,,\n10,Celery,celery/celery,,data-pipelines,https://github.com/celery/celery,https://github.com/celery/celery,BSD-3-Clause,2009-04-24 11:31:24.000000,2021-08-18 18:16:37.000000,2021-08-18 18:16:37.000000,4037,517.0,4050.0,17775.0,11682.0,Asynchronous task queue/job queue based on distributed message passing.,1139.0,39,True,2021-08-11 17:48:56.000000,5.2.0b1,180.0,celery,conda-forge/celery,,,,85187.0,56953.0,https://pypi.org/project/celery,2021-08-17 14:35:34.000000,28234.0,4660000.0,4669047.0,https://anaconda.org/conda-forge/celery,2021-06-29 08:06:51.307000,588063.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n11,scikit-learn,scikit-learn/scikit-learn,,ml-frameworks,https://github.com/scikit-learn/scikit-learn,https://github.com/scikit-learn/scikit-learn,BSD-3-Clause,2010-08-17 09:43:38.000000,2021-08-19 06:56:53.000000,2021-08-19 06:56:53.000000,21707,2368.0,7067.0,46850.0,,scikit-learn: machine learning in Python.,2322.0,38,True,2021-04-28 17:20:23.000000,0.24.2,54.0,scikit-learn,conda-forge/scikit-learn,,,['sklearn'],292508.0,254620.0,https://pypi.org/project/scikit-learn,2021-04-28 11:18:29.000000,37888.0,25531890.0,25675773.0,https://anaconda.org/conda-forge/scikit-learn,2021-08-08 17:42:51.112000,9063983.0,,,,,1.0,721.0,,,,,,,,,,,,,,,,,,,,\n12,numpy,numpy/numpy,,data-containers,https://github.com/numpy/numpy,https://github.com/numpy/numpy,BSD-3-Clause,2010-09-13 23:02:39.000000,2021-08-19 14:39:14.000000,2021-08-19 14:39:14.000000,5751,2341.0,7726.0,17972.0,,The fundamental package for scientific computing with Python.,1308.0,38,True,2021-08-15 20:24:41.000000,1.21.2,103.0,numpy,conda-forge/numpy,,,,969338.0,799616.0,https://pypi.org/project/numpy,2021-08-15 20:07:03.000000,169722.0,80616785.0,80977885.0,https://anaconda.org/conda-forge/numpy,2021-08-16 10:02:25.525000,22329855.0,,,,,1.0,379541.0,,,,,,,,,,,,,,,,,,,,\n13,Seaborn,mwaskom/seaborn,,data-viz,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000000,2021-08-16 06:42:17.619000,2021-08-15 22:50:27.000000,1468,94.0,1805.0,8678.0,2800.0,Statistical data visualization in Python.,156.0,38,True,2021-08-16 00:39:03.000000,0.11.2,25.0,seaborn,conda-forge/seaborn,,,,123694.0,110908.0,https://pypi.org/project/seaborn,2021-08-16 00:42:18.000000,12786.0,8278734.0,8323022.0,https://anaconda.org/conda-forge/seaborn,2021-08-16 06:42:17.619000,2657197.0,,,,,1.0,189.0,,,,,,,,,,,,,,,,,,,,\n14,transformers,huggingface/transformers,,nlp,https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000000,2021-08-19 13:45:55.000000,2021-08-19 12:29:51.000000,11783,420.0,7199.0,50125.0,7758.0,\"Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.\",964.0,37,True,2021-08-09 14:27:29.000000,4.9.2,65.0,transformers,conda-forge/transformers,,,\"['pytorch', 'tensorflow']\",14928.0,14800.0,https://pypi.org/project/transformers,2021-08-09 14:27:09.000000,128.0,3594923.0,3597747.0,https://anaconda.org/conda-forge/transformers,2021-08-09 19:24:47.825000,61209.0,,,,,1.0,1392.0,,,,,,,,,,,,,,,,,,,,\n15,PySpark,apache/spark,,ml-frameworks,https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08.000000,2021-08-19 13:56:19.000000,2021-08-19 13:33:21.000000,24097,235.0,,30585.0,31074.0,Apache Spark Python API.,2523.0,37,True,2021-05-27 17:18:30.000000,3.1.2,26.0,pyspark,conda-forge/pyspark,,,['spark'],760.0,,https://pypi.org/project/pyspark,2021-05-27 17:18:30.000000,760.0,12758896.0,12781646.0,https://anaconda.org/conda-forge/pyspark,2021-05-29 01:33:32.376000,1205772.0,,,,,1.0,,,stable/spark,,,,,,,,,,,,,,,,,,\n16,XGBoost,dmlc/xgboost,,ml-frameworks,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000000,2021-08-18 11:33:27.000000,2021-08-18 06:02:19.000000,7983,296.0,3859.0,21447.0,5432.0,\"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..\",535.0,37,True,2021-05-13 11:35:17.000000,1.4.2,57.0,xgboost,conda-forge/xgboost,,https://xgboost.readthedocs.io/en/latest/,,22056.0,20464.0,https://pypi.org/project/xgboost,2021-05-13 11:49:10.000000,1592.0,6427815.0,6462847.0,https://anaconda.org/conda-forge/xgboost,2021-08-09 14:06:55.576000,1855043.0,,,,,1.0,2882.0,,,,,,,,,,,,,,,,,,,,\n17,spaCy,explosion/spaCy,,nlp,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000000,2021-08-19 12:37:47.000000,2021-08-18 07:56:56.000000,3518,103.0,4729.0,21125.0,14770.0,Industrial-strength Natural Language Processing (NLP) in Python.,610.0,37,True,2021-07-23 08:37:31.000000,3.0.7,182.0,spacy,conda-forge/spacy,,,,31695.0,28629.0,https://pypi.org/project/spacy,2021-07-20 08:39:51.000000,3066.0,2603663.0,2645338.0,https://anaconda.org/conda-forge/spacy,2021-07-21 09:36:07.628000,2247659.0,,,,,1.0,3054.0,,,,,,,,,,,,,,,,,,,,\n18,SymPy,sympy/sympy,,others,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000000,2021-08-19 15:10:44.000000,2021-08-18 17:03:13.000000,3425,4174.0,7461.0,8298.0,48130.0,A computer algebra system written in pure Python.,1099.0,37,True,2021-04-09 22:38:24.000000,sympy-1.8,37.0,sympy,conda-forge/sympy,,,,40985.0,34563.0,https://pypi.org/project/sympy,2021-04-09 22:41:01.000000,6422.0,2548747.0,2578926.0,https://anaconda.org/conda-forge/sympy,2021-04-10 01:00:41.286000,1622201.0,,,,,1.0,429760.0,,,,,,,,,,,,,,,,,,,,\n19,Arrow,apache/arrow,,data-containers,https://github.com/apache/arrow,https://github.com/apache/arrow,Apache-2.0,2016-02-17 08:00:23.000000,2021-08-19 14:27:07.000000,2021-08-19 09:32:20.000000,1990,144.0,631.0,8265.0,9746.0,Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing.,719.0,37,True,2021-05-30 17:16:04.000000,4.0.1,33.0,pyarrow,conda-forge/arrow,,,,1036.0,50.0,https://pypi.org/project/pyarrow,2021-07-28 18:21:54.000000,986.0,30155875.0,30167251.0,https://anaconda.org/conda-forge/arrow,2021-06-24 17:36:08.348000,716720.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n20,Tensorboard,tensorflow/tensorboard,,ml-experiments,https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000000,2021-08-18 23:13:50.000000,2021-08-18 23:13:50.000000,1414,555.0,1012.0,5601.0,4730.0,TensorFlow's Visualization Toolkit.,265.0,37,True,2021-08-06 18:23:28.000000,2.6.0,38.0,tensorboard,conda-forge/tensorboard,,,['tensorflow'],78969.0,75355.0,https://pypi.org/project/tensorboard,2021-08-06 18:23:28.000000,3614.0,10148436.0,10200029.0,https://anaconda.org/conda-forge/tensorboard,2021-08-10 01:38:55.756000,2321702.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n21,OpenAI Gym,openai/gym,,reinforcement-learning,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16.000000,2021-08-18 21:16:52.000000,2021-08-18 20:36:40.000000,7150,152.0,1211.0,25002.0,1331.0,A toolkit for developing and comparing reinforcement learning algorithms.,307.0,36,True,2021-08-16 22:25:35.000000,0.19.0,94.0,gym,,,,,25941.0,22379.0,https://pypi.org/project/gym,2021-08-16 22:25:35.000000,3562.0,1769925.0,1769925.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n22,LightGBM,microsoft/LightGBM,,ml-frameworks,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000000,2021-08-19 12:53:45.000000,2021-08-19 04:38:35.000000,3325,118.0,2238.0,12859.0,2635.0,\"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..\",235.0,36,True,2021-04-12 23:03:24.000000,3.2.1,25.0,lightgbm,conda-forge/lightgbm,,,,8980.0,8424.0,https://pypi.org/project/lightgbm,2021-03-22 15:04:09.000000,556.0,8220430.0,8236639.0,https://anaconda.org/conda-forge/lightgbm,2021-04-20 13:04:15.819000,687353.0,,,,,1.0,113482.0,,,,,,,,,,,,,,,,,,,,\n23,gensim,RaRe-Technologies/gensim,,nlp,https://github.com/RaRe-Technologies/gensim,https://github.com/RaRe-Technologies/gensim,LGPL-2.1,2011-02-10 07:43:04.000000,2021-08-19 03:19:21.000000,2021-08-18 12:55:44.000000,4039,373.0,1332.0,12354.0,4234.0,Topic Modelling for Humans.,409.0,36,True,2021-04-01 14:19:26.000000,4.0.1,85.0,gensim,conda-forge/gensim,,,,30823.0,26081.0,https://pypi.org/project/gensim,2021-03-25 13:43:34.000000,4742.0,8578197.0,8593217.0,https://anaconda.org/conda-forge/gensim,2021-06-15 14:29:56.801000,703609.0,,,,,1.0,3500.0,,,,,,,,,,,,,,,,,,,,\n24,Plotly,plotly/plotly.py,,data-viz,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000000,2021-08-16 13:08:29.082000,2021-08-14 01:49:09.000000,1865,931.0,1126.0,10019.0,5220.0,The interactive graphing library for Python (includes Plotly Express).,181.0,36,True,2021-08-14 01:46:57.000000,5.2.1,271.0,plotly,conda-forge/plotly,,,,4991.0,5.0,https://pypi.org/project/plotly,2021-08-14 00:36:19.000000,4982.0,6376883.0,6448790.0,https://anaconda.org/conda-forge/plotly,2021-08-16 13:08:29.082000,1695461.0,,,,,1.0,,,,plotlywidget,https://www.npmjs.com/package/plotlywidget,2021-01-12 16:09:46.133000,4.0,43650.0,,,,,,,,,,,,,\n25,h5py,h5py/h5py,,data-containers,https://github.com/h5py/h5py,https://github.com/h5py/h5py,BSD-3-Clause,2012-09-21 00:40:02.000000,2021-08-19 14:00:26.000000,2021-08-12 18:53:24.000000,409,214.0,1014.0,1565.0,3705.0,HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.,167.0,36,True,2021-06-22 12:06:46.000000,3.3.0,28.0,h5py,conda-forge/h5py,,,,151087.0,128151.0,https://pypi.org/project/h5py,2021-06-22 12:26:45.000000,22936.0,9897084.0,9987273.0,https://anaconda.org/conda-forge/h5py,2021-08-19 04:46:16.991000,5860764.0,,,,,2.0,1301.0,,,,,,,,,,,,,,,,,,,,\n26,pytorch-lightning,PyTorchLightning/pytorch-lightning,,ml-frameworks,https://github.com/PyTorchLightning/pytorch-lightning,https://github.com/PyTorchLightning/pytorch-lightning,Apache-2.0,2019-03-31 00:45:57.000000,2021-08-19 14:06:13.000000,2021-08-19 04:19:50.000000,1782,317.0,3411.0,15045.0,5452.0,\"The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.\",516.0,35,True,2021-08-11 14:03:23.000000,1.4.2,183.0,pytorch-lightning,conda-forge/pytorch-lightning,,,['pytorch'],4222.0,4208.0,https://pypi.org/project/pytorch-lightning,2021-08-11 14:03:23.000000,14.0,725032.0,741758.0,https://anaconda.org/conda-forge/pytorch-lightning,2021-08-11 15:44:36.889000,231933.0,,,,,2.0,4001.0,,,,,,,,,,,,,,,,,,,,\n27,onnx,onnx/onnx,,model-serialisation,https://github.com/onnx/onnx,https://github.com/onnx/onnx,Apache-2.0,2017-09-07 04:53:45.000000,2021-08-19 08:55:06.000000,2021-08-15 20:37:09.000000,2064,489.0,1181.0,11155.0,1800.0,Open standard for machine learning interoperability.,209.0,35,True,2021-08-02 20:22:19.000000,1.10.1,23.0,onnx,conda-forge/onnx,,,,4158.0,3862.0,https://pypi.org/project/onnx,2021-08-02 20:16:08.000000,296.0,1956136.0,1962600.0,https://anaconda.org/conda-forge/onnx,2021-08-03 16:10:13.459000,275364.0,,,,,1.0,15906.0,,,,,,,,,,,,,,,,,,,,\n28,nltk,nltk/nltk,,nlp,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58.000000,2021-08-18 23:31:35.000000,2021-08-18 23:31:35.000000,2467,235.0,1299.0,10055.0,,Suite of libraries and programs for symbolic and statistical natural language processing for English.,399.0,35,True,2021-04-07 21:36:50.000000,3.6.1,41.0,nltk,conda-forge/nltk,,,,132499.0,111507.0,https://pypi.org/project/nltk,2021-04-07 21:36:50.000000,20992.0,12017349.0,12031282.0,https://anaconda.org/conda-forge/nltk,2021-04-20 15:34:03.018000,836016.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n29,torchvision,pytorch/vision,,image,https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000000,2021-08-19 14:10:51.000000,2021-08-19 11:18:59.000000,4959,521.0,1378.0,9631.0,1916.0,\"Datasets, Transforms and Models specific to Computer Vision.\",409.0,35,True,2021-06-15 16:00:00.000000,0.10.0,24.0,torchvision,conda-forge/torchvision,,,['pytorch'],4612.0,,https://pypi.org/project/torchvision,2021-06-15 16:00:00.000000,4612.0,1862774.0,1864961.0,https://anaconda.org/conda-forge/torchvision,2021-08-10 21:16:36.194000,96266.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n30,networkx,networkx/networkx,,graph,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44.000000,2021-08-18 10:07:07.000000,2021-08-14 16:17:40.000000,2372,299.0,2415.0,9503.0,,Network Analysis in Python.,537.0,35,True,2021-07-27 02:21:18.000000,2.6.2,58.0,networkx,conda-forge/networkx,,,,103226.0,82408.0,https://pypi.org/project/networkx,2021-07-27 02:21:18.000000,20818.0,12195152.0,12267795.0,https://anaconda.org/conda-forge/networkx,2021-07-27 05:26:42.933000,4213337.0,,,,,1.0,56.0,,,,,,,,,,,,,,,,,,,,\n31,joblib,joblib/joblib,,data-pipelines,https://github.com/joblib/joblib,https://github.com/joblib/joblib,BSD-3-Clause,2010-05-07 06:48:26.000000,2021-08-10 14:35:47.000000,2021-06-11 10:31:40.000000,296,291.0,365.0,2518.0,1375.0,Computing with Python functions.,102.0,35,True,2021-02-09 16:46:29.000000,1.0.1,100.0,joblib,conda-forge/joblib,,,,129389.0,122779.0,https://pypi.org/project/joblib,2021-02-09 16:46:29.000000,6610.0,27319253.0,27399280.0,https://anaconda.org/conda-forge/joblib,2021-02-09 19:26:28.194000,4881696.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n32,luigi,spotify/luigi,,data-pipelines,https://github.com/spotify/luigi,https://github.com/spotify/luigi,Apache-2.0,2012-09-20 15:06:38.000000,2021-08-18 13:39:39.000000,2021-07-07 10:18:00.000000,2266,87.0,845.0,14889.0,3994.0,\"Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution,..\",556.0,34,True,2021-04-17 01:06:10.000000,3.0.3,72.0,luigi,luigi,,,,2187.0,1511.0,https://pypi.org/project/luigi,2020-09-23 11:57:12.000000,676.0,758295.0,758413.0,https://anaconda.org/anaconda/luigi,2021-04-17 18:49:18.708000,7790.0,,,,,1.0,,,stable/luigi,,,,,,0.0,,,,,,,,,,,,\n33,shap,slundberg/shap,,interpretability,https://github.com/slundberg/shap,https://github.com/slundberg/shap,MIT,2016-11-22 19:17:08.000000,2021-08-12 08:12:39.000000,2021-08-05 22:28:22.000000,2010,1124.0,548.0,13743.0,1989.0,A game theoretic approach to explain the output of any machine learning model.,162.0,34,True,2021-03-03 18:38:33.000000,0.39.0,93.0,shap,conda-forge/shap,,,,3311.0,3175.0,https://pypi.org/project/shap,2021-01-15 21:02:34.000000,136.0,2896464.0,2913055.0,https://anaconda.org/conda-forge/shap,2021-04-29 12:11:05.706000,597308.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n34,Theano,Theano/Theano,,ml-frameworks,https://github.com/Theano/Theano,https://github.com/Theano/Theano,BSD-3-Clause,2011-08-10 03:48:06.000000,2021-06-05 14:19:15.755000,2021-04-13 19:05:58.000000,2508,677.0,2085.0,9455.0,28126.0,\"Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving..\",384.0,34,True,2020-07-27 16:13:54.000000,1.0.5,45.0,theano,conda-forge/theano,,,,16897.0,11423.0,https://pypi.org/project/theano,2020-07-27 16:13:54.000000,5474.0,242307.0,269433.0,https://anaconda.org/conda-forge/theano,2021-06-05 14:19:15.755000,1654715.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n35,pydeck,visgl/deck.gl,,geospatial-data,https://github.com/visgl/deck.gl,https://github.com/visgl/deck.gl,MIT,2015-12-15 08:38:29.000000,2021-08-18 23:46:27.000000,2021-08-18 23:46:26.000000,1591,94.0,2109.0,8913.0,3755.0,WebGL2 powered geospatial visualization layers.,169.0,34,True,2021-08-17 21:18:49.000000,8.5.4,486.0,pydeck,conda-forge/pydeck,,,['jupyter'],2248.0,1686.0,https://pypi.org/project/pydeck,2021-04-13 02:26:45.000000,2.0,413724.0,633665.0,https://anaconda.org/conda-forge/pydeck,2021-04-13 20:41:22.066000,46759.0,,,,,1.0,,,,deck.gl,https://www.npmjs.com/package/deck.gl,2021-08-09 18:25:35.468000,560.0,217344.0,,,,,,,,,,,,,\n36,dask,dask/dask,,distributed-ml,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000000,2021-08-19 10:15:45.000000,2021-08-19 03:51:39.000000,1318,782.0,3152.0,8670.0,,Parallel computing with task scheduling.,463.0,34,True,2021-08-13 23:04:41.000000,2021.8.0,125.0,dask,conda-forge/dask,,,,33682.0,29766.0,https://pypi.org/project/dask,2021-08-13 23:04:41.000000,3916.0,4158699.0,4220202.0,https://anaconda.org/conda-forge/dask,2021-08-14 03:36:36.410000,3874735.0,,,,,1.0,,,stable/dask,,,,,,,,,,,,,,,,,,\n37,rq,rq/rq,,data-pipelines,https://github.com/rq/rq,https://github.com/rq/rq,BSD-3-Clause,2011-11-14 10:53:48.000000,2021-08-16 18:18:27.000000,2021-08-03 01:00:49.000000,1237,164.0,727.0,7848.0,1590.0,Simple job queues for Python.,243.0,34,True,2021-06-30 07:22:37.000000,1.9.0,66.0,rq,conda-forge/rq,,,,11915.0,8591.0,https://pypi.org/project/rq,2021-06-30 07:21:51.000000,3324.0,479952.0,480915.0,https://anaconda.org/conda-forge/rq,2021-06-30 09:49:43.099000,58755.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n38,Beam,apache/beam,,data-pipelines,https://github.com/apache/beam,https://github.com/apache/beam,Apache-2.0,2016-02-02 08:00:06.000000,2021-08-19 14:33:52.000000,2021-08-19 14:33:51.000000,3137,178.0,,4952.0,32723.0,\"Unified programming model to define and execute data processing pipelines, including ETL, batch and stream processing.\",1112.0,34,True,2021-07-08 17:30:57.000000,2.31.0,38.0,apache-beam,,,,,186.0,,https://pypi.org/project/apache-beam,2021-08-11 07:48:44.000000,186.0,3294518.0,3294518.0,,,,,,,,1.0,,2.0,,,,,,,,,,,,,,,,,,,\n39,TF Addons,tensorflow/addons,,tensorflow-utils,https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17.000000,2021-08-19 13:57:20.000000,2021-08-19 13:57:17.000000,480,218.0,668.0,1352.0,1379.0,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,172.0,34,True,2021-08-19 12:57:05.000000,0.14.0,27.0,tensorflow-addons,,,,['tensorflow'],3920.0,3902.0,https://pypi.org/project/tensorflow-addons,2021-08-19 13:22:01.000000,18.0,8371036.0,8371036.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n40,MXNet,apache/incubator-mxnet,,ml-frameworks,https://github.com/apache/incubator-mxnet,https://github.com/apache/incubator-mxnet,Apache-2.0,2015-04-30 16:21:15.000000,2021-08-19 10:10:26.000000,2021-08-19 10:10:25.000000,6860,1922.0,7665.0,19606.0,11643.0,\"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..\",964.0,33,True,2021-03-21 14:56:00.000000,1.8.0,980.0,mxnet,mxnet,,,['mxnet'],444.0,,https://pypi.org/project/mxnet,2021-03-31 20:05:38.000000,444.0,305705.0,306234.0,https://anaconda.org/anaconda/mxnet,2020-02-29 00:58:31.007000,6433.0,,,,,2.0,24131.0,,,,,,,,0.0,,,,,,,,,,,,\n41,Bokeh,bokeh/bokeh,,data-viz,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000000,2021-08-19 08:32:11.000000,2021-08-19 08:32:11.000000,3768,688.0,5986.0,15398.0,,\"Interactive Data Visualization in the browser, from Python.\",566.0,33,True,2021-07-07 18:02:49.000000,2.3.3,101.0,bokeh,conda-forge/bokeh,,,,43581.0,37709.0,https://pypi.org/project/bokeh,2021-08-18 03:40:57.000000,5872.0,1628456.0,1727253.0,https://anaconda.org/conda-forge/bokeh,2021-07-08 16:05:38.712000,5137470.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n42,dash,plotly/dash,,data-viz,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000000,2021-08-19 05:06:22.000000,2021-08-18 15:28:10.000000,1516,454.0,597.0,14986.0,3772.0,\"Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.\",80.0,33,True,2021-07-13 16:17:17.000000,1.21.0,138.0,dash,conda-forge/dash,,,,1748.0,140.0,https://pypi.org/project/dash,2021-07-13 05:49:28.000000,1608.0,644525.0,651672.0,https://anaconda.org/conda-forge/dash,2021-07-25 05:00:57.468000,278757.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n43,tensor2tensor,tensorflow/tensor2tensor,,tensorflow-utils,https://github.com/tensorflow/tensor2tensor,https://github.com/tensorflow/tensor2tensor,Apache-2.0,2017-06-15 16:57:39.000000,2021-08-14 15:58:18.000000,2021-06-22 02:47:08.000000,2929,563.0,667.0,11495.0,4351.0,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,233.0,33,True,2020-06-17 16:15:36.000000,1.15.7,79.0,tensor2tensor,,,,['tensorflow'],1186.0,1022.0,https://pypi.org/project/tensor2tensor,2020-06-17 16:15:36.000000,164.0,1407289.0,1407289.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n44,dlib,davisking/dlib,,ml-frameworks,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000000,2021-08-19 12:02:10.000000,2021-08-19 12:02:10.000000,2958,48.0,1897.0,10478.0,7964.0,A toolkit for making real world machine learning and data analysis applications in C++.,167.0,33,False,2021-08-14 14:21:18.000000,19.22.1,29.0,dlib,conda-forge/dlib,,,,12503.0,11145.0,https://pypi.org/project/dlib,2021-08-14 14:21:18.000000,1358.0,107235.0,113462.0,https://anaconda.org/conda-forge/dlib,2021-04-03 09:47:47.788000,347768.0,,,,,2.0,24693.0,,,,,,,,,,,,,,,,,,,,\n45,mlflow,mlflow/mlflow,,ml-experiments,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000000,2021-08-19 11:00:27.000000,2021-08-19 11:00:26.000000,2174,849.0,1110.0,9951.0,2175.0,Open source platform for the machine learning lifecycle.,311.0,33,True,2021-07-14 09:35:29.000000,1.19.0,47.0,mlflow,conda-forge/mlflow,,,,154.0,,https://pypi.org/project/mlflow,2021-07-14 09:02:28.000000,154.0,10914201.0,10927705.0,https://anaconda.org/conda-forge/mlflow,2021-07-14 13:59:19.774000,378114.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n46,DVC,iterative/dvc,,ml-experiments,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000000,2021-08-19 14:46:16.000000,2021-08-19 01:18:51.000000,797,564.0,2590.0,8424.0,6769.0,Data Version Control | Git for Data & Models | ML Experiments Management.,234.0,33,True,2021-08-17 12:18:09.000000,2.6.3,332.0,dvc,conda-forge/dvc,,,,1471.0,1425.0,https://pypi.org/project/dvc,2021-08-17 12:20:19.000000,46.0,1243653.0,1279558.0,https://anaconda.org/conda-forge/dvc,2021-07-09 06:25:26.275000,833273.0,,,,,1.0,33475.0,,,,,,,,,dvc,dvc,dvc,,,,,,,,,\n47,scikit-image,scikit-image/scikit-image,,image,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,BSD-2-Clause,2011-07-07 22:07:20.000000,2021-08-19 12:34:49.000000,2021-08-17 11:34:20.000000,1824,699.0,1563.0,4465.0,,Image processing in Python.,509.0,33,True,2021-06-29 01:49:12.000000,0.18.2,38.0,scikit-image,conda-forge/scikit-image,,,,92119.0,77345.0,https://pypi.org/project/scikit-image,2021-06-29 01:49:12.000000,14774.0,3124485.0,3168024.0,https://anaconda.org/conda-forge/scikit-image,2021-07-08 03:21:46.788000,2742983.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n48,geopy,geopy/geopy,,geospatial-data,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000000,2021-08-19 02:39:49.000000,2021-08-16 09:19:25.000000,549,23.0,225.0,3398.0,1065.0,Geocoding library for Python.,123.0,33,True,2021-07-11 12:18:10.000000,2.2.0,58.0,geopy,conda-forge/geopy,,,,32535.0,25291.0,https://pypi.org/project/geopy,2021-07-11 12:15:26.000000,7244.0,5212321.0,5221261.0,https://anaconda.org/conda-forge/geopy,2021-07-12 18:34:05.605000,581130.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n49,tensorflow-hub,tensorflow/hub,,tensorflow-utils,https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42.000000,2021-08-19 13:16:49.000000,2021-08-19 13:16:46.000000,1522,34.0,595.0,2910.0,962.0,A library for transfer learning by reusing parts of TensorFlow models.,76.0,33,True,2021-04-14 13:17:26.000000,0.12.0,15.0,tensorflow-hub,conda-forge/tensorflow-hub,,,['tensorflow'],8303.0,7989.0,https://pypi.org/project/tensorflow-hub,2021-04-14 12:54:13.000000,314.0,5009139.0,5010613.0,https://anaconda.org/conda-forge/tensorflow-hub,2021-04-18 18:01:14.779000,56041.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n50,Shapely,Toblerity/Shapely,,geospatial-data,https://github.com/Toblerity/Shapely,https://github.com/Toblerity/Shapely,BSD-3-Clause,2011-12-31 19:43:11.000000,2021-08-05 23:35:02.848000,2021-07-26 20:32:01.000000,415,145.0,628.0,2382.0,1528.0,Manipulation and analysis of geometric objects.,118.0,33,True,2020-12-15 18:27:01.000000,1.7.1,101.0,shapely,conda-forge/shapely,,,,26807.0,21349.0,https://pypi.org/project/shapely,2021-07-15 17:46:09.000000,5458.0,5581021.0,5618180.0,https://anaconda.org/conda-forge/shapely,2021-08-05 23:35:02.848000,2601181.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n51,Airflow,apache/airflow,,data-pipelines,https://github.com/apache/airflow,https://github.com/apache/airflow,Apache-2.0,2015-04-13 18:04:58.000000,2021-08-19 15:05:02.000000,2021-08-19 15:05:02.000000,9025,1014.0,3036.0,23101.0,,\"Platform to programmatically author, schedule, and monitor workflows.\",1992.0,32,True,2021-07-28 20:37:11.000000,helm-chart/1.1.0,83.0,apache-airflow,conda-forge/airflow,apache/airflow,,,294.0,,https://pypi.org/project/apache-airflow,2021-08-18 00:26:33.000000,294.0,3139271.0,3613749.0,https://anaconda.org/conda-forge/airflow,2021-07-16 19:58:00.135000,376505.0,https://hub.docker.com/r/apache/airflow,2021-08-18 01:01:24.179233,277.0,35323825.0,2.0,166317.0,,stable/airflow,,,,,,,,,,,,,,,,,,\n52,Fastai,fastai/fastai,,ml-frameworks,https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000000,2021-08-19 13:41:32.000000,2021-08-19 00:28:47.000000,7078,91.0,1408.0,21293.0,1801.0,The fastai deep learning library.,472.0,32,True,2021-08-11 05:11:46.000000,2.5.1,124.0,fastai,,,,['pytorch'],368.0,,https://pypi.org/project/fastai,2021-08-11 05:11:59.000000,368.0,237024.0,237024.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n53,Ray,ray-project/ray,,distributed-ml,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000000,2021-08-19 14:55:11.000000,2021-08-19 14:55:10.000000,2853,1785.0,5852.0,16966.0,9135.0,\"An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged..\",550.0,32,True,2021-08-12 19:24:00.000000,ray-1.5.2,52.0,ray,,,,,160.0,,https://pypi.org/project/ray,2021-08-12 17:58:07.000000,160.0,513913.0,513913.0,,,,,,,,1.0,,-3.0,,,,,,,,,,,,,,,,,,,\n54,imgaug,aleju/imgaug,,image,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33.000000,2021-07-09 08:52:02.000000,2020-06-01 14:58:26.000000,2100,244.0,215.0,11641.0,2913.0,Image augmentation for machine learning experiments.,36.0,32,False,2020-02-06 06:18:40.000000,0.4.0,11.0,imgaug,conda-forge/imgaug,,,,7902.0,7346.0,https://pypi.org/project/imgaug,2020-02-05 20:54:22.000000,556.0,221072.0,222930.0,https://anaconda.org/conda-forge/imgaug,2020-02-14 16:06:53.525000,48325.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n55,ChatterBot,gunthercox/ChatterBot,,nlp,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00.000000,2021-08-07 10:01:34.000000,2021-06-01 10:43:00.000000,3810,276.0,1240.0,11425.0,1848.0,\"ChatterBot is a machine learning, conversational dialog engine for creating chat bots.\",103.0,32,True,2020-08-22 18:42:43.000000,1.0.8,86.0,chatterbot,,,,,4417.0,3737.0,https://pypi.org/project/chatterbot,2020-08-22 18:40:36.000000,680.0,60182.0,60182.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n56,flair,flairNLP/flair,,nlp,https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,MIT,2018-06-11 11:04:18.000000,2021-08-19 13:57:45.000000,2021-08-18 15:24:05.000000,1654,95.0,1525.0,10677.0,3544.0,A very simple framework for state-of-the-art Natural Language Processing (NLP).,205.0,32,True,2021-03-05 11:57:03.000000,0.8,21.0,flair,,,,['pytorch'],949.0,901.0,https://pypi.org/project/flair,2021-03-08 23:08:40.000000,48.0,71693.0,71693.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n57,AllenNLP,allenai/allennlp,,nlp,https://github.com/allenai/allennlp,https://github.com/allenai/allennlp,Apache-2.0,2017-05-15 15:52:41.000000,2021-08-19 13:53:30.000000,2021-08-18 19:07:10.000000,2106,94.0,2314.0,10400.0,2357.0,\"An open-source NLP research library, built on PyTorch.\",247.0,32,True,2021-07-19 23:03:10.000000,2.6.0,226.0,allennlp,,,,['pytorch'],2116.0,1882.0,https://pypi.org/project/allennlp,2021-08-19 11:53:13.000000,234.0,38964.0,38964.0,,,,,,,,1.0,43.0,,,,,,,,,,,,,,,,,,,,\n58,MoviePy,Zulko/moviepy,,image,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000000,2021-08-19 02:27:37.000000,2021-08-18 13:55:30.000000,1080,337.0,753.0,8361.0,1065.0,Video editing with Python.,143.0,32,True,2020-05-07 16:29:35.000000,1.0.3,84.0,moviepy,conda-forge/moviepy,,,,10548.0,9418.0,https://pypi.org/project/moviepy,2020-10-05 00:26:29.000000,1130.0,4212239.0,4214054.0,https://anaconda.org/conda-forge/moviepy,2020-02-23 19:57:49.975000,88948.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n59,pandas-profiling,pandas-profiling/pandas-profiling,,data-viz,https://github.com/pandas-profiling/pandas-profiling,https://github.com/pandas-profiling/pandas-profiling,MIT,2016-01-09 23:47:55.000000,2021-08-14 18:14:10.000000,2021-06-27 20:16:39.000000,1127,81.0,401.0,7803.0,852.0,Create HTML profiling reports from pandas DataFrame objects.,79.0,32,True,2021-05-11 22:24:40.000000,3.0.0,30.0,pandas-profiling,conda-forge/pandas-profiling,,,\"['jupyter', 'pandas']\",5120.0,4960.0,https://pypi.org/project/pandas-profiling,2021-05-11 22:24:40.000000,160.0,634257.0,636840.0,https://anaconda.org/conda-forge/pandas-profiling,2021-05-12 01:17:17.354000,155002.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n60,StatsModels,statsmodels/statsmodels,,ml-frameworks,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000000,2021-08-19 14:00:51.000000,2021-08-19 10:52:38.000000,2278,2137.0,2381.0,6542.0,,Statsmodels: statistical modeling and econometrics in Python.,327.0,32,True,2021-02-02 11:08:49.000000,0.12.2,25.0,statsmodels,conda-forge/statsmodels,,,,54612.0,47956.0,https://pypi.org/project/statsmodels,2021-02-02 11:08:49.000000,6656.0,5216980.0,5290712.0,https://anaconda.org/conda-forge/statsmodels,2021-02-15 17:38:00.380000,4571408.0,,,,,2.0,25.0,,,,,,,,,,,,,,,,,,,,\n61,Chainer,chainer/chainer,,ml-frameworks,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37.000000,2021-06-10 09:05:27.000000,2021-06-10 08:30:31.000000,1374,18.0,2026.0,5607.0,30595.0,A flexible framework of neural networks for deep learning.,318.0,32,True,2021-06-10 09:05:28.000000,7.8.0,110.0,chainer,,,,,3103.0,2361.0,https://pypi.org/project/chainer,2021-06-10 08:29:05.000000,742.0,25629.0,25629.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n62,folium,python-visualization/folium,,geospatial-data,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000000,2021-08-13 18:04:59.000000,2021-06-19 11:04:19.000000,1965,176.0,705.0,5370.0,1475.0,Python Data. Leaflet.js Maps.,122.0,32,True,2021-01-18 17:29:40.000000,0.12.1,25.0,folium,conda-forge/folium,,,,12377.0,11409.0,https://pypi.org/project/folium,2021-01-18 17:29:40.000000,968.0,649600.0,655607.0,https://anaconda.org/conda-forge/folium,2021-03-12 17:41:57.124000,390494.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n63,CuPy,cupy/cupy,,gpu-utilities,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000000,2021-08-19 04:04:24.000000,2021-08-18 16:04:51.000000,491,346.0,1143.0,5293.0,22709.0,NumPy & SciPy for GPU.,268.0,32,True,2021-08-05 08:20:11.000000,9.3.0,98.0,cupy,conda-forge/cupy,cupy/cupy,,,986.0,794.0,https://pypi.org/project/cupy,2021-08-05 07:01:31.000000,192.0,73855.0,112999.0,https://anaconda.org/conda-forge/cupy,2021-08-07 23:00:37.341000,833905.0,https://hub.docker.com/r/cupy/cupy,2021-08-05 07:54:23.501323,6.0,52168.0,1.0,17557.0,,,,,,,,,,,,,,,,,,,,\n64,Optuna,optuna/optuna,,hyperopt,https://github.com/optuna/optuna,https://github.com/optuna/optuna,MIT,2018-02-21 06:12:56.000000,2021-08-18 11:51:16.000000,2021-08-18 11:51:15.000000,546,109.0,770.0,4998.0,10406.0,A hyperparameter optimization framework.,145.0,32,True,2021-08-03 05:51:26.000000,2.9.1,40.0,optuna,conda-forge/optuna,,,,1799.0,1747.0,https://pypi.org/project/optuna,2021-08-03 05:51:26.000000,52.0,614421.0,616148.0,https://anaconda.org/conda-forge/optuna,2021-08-05 08:28:48.666000,36274.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n65,wandb client,wandb/client,,ml-experiments,https://github.com/wandb/client,https://github.com/wandb/client,MIT,2017-03-24 05:46:23.000000,2021-08-19 14:24:05.000000,2021-08-19 03:38:52.000000,238,380.0,900.0,3213.0,4125.0,A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.,86.0,32,True,2021-08-10 18:39:14.000000,0.12.0,207.0,wandb,,,,,4144.0,4066.0,https://pypi.org/project/wandb,2021-08-10 18:35:00.000000,78.0,442426.0,442426.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n66,Thinc,explosion/thinc,,ml-frameworks,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59.000000,2021-08-17 08:40:22.000000,2021-08-17 08:40:21.000000,211,17.0,94.0,2337.0,4953.0,\"A refreshing functional take on deep learning, compatible with your favorite libraries.\",40.0,32,True,2021-07-19 09:15:18.000000,8.0.8,194.0,thinc,conda-forge/thinc,,,,16462.0,15324.0,https://pypi.org/project/thinc,2021-07-19 09:10:52.000000,1138.0,2429237.0,2458200.0,https://anaconda.org/conda-forge/thinc,2021-07-19 14:12:53.809000,1564041.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n67,Rasterio,mapbox/rasterio,,geospatial-data,https://github.com/mapbox/rasterio,https://github.com/mapbox/rasterio,BSD-3-Clause,2013-11-04 16:36:27.000000,2021-08-18 16:43:28.000000,2021-08-18 16:43:28.000000,427,157.0,1281.0,1552.0,3382.0,Rasterio reads and writes geospatial raster datasets.,112.0,32,True,2021-06-23 00:38:10.000000,1.2.6,127.0,rasterio,conda-forge/rasterio,,,,4428.0,3578.0,https://pypi.org/project/rasterio,2021-06-23 00:38:10.000000,850.0,1096923.0,1115237.0,https://anaconda.org/conda-forge/rasterio,2021-06-24 09:36:51.700000,1189799.0,,,,,2.0,740.0,,,,,,,,,,,,,,,,,,,,\n68,dask.distributed,dask/distributed,,distributed-ml,https://github.com/dask/distributed,https://github.com/dask/distributed,BSD-3-Clause,2015-09-13 18:42:29.000000,2021-08-19 14:55:35.000000,2021-08-19 03:18:46.000000,543,907.0,1457.0,1227.0,,A distributed task scheduler for Dask.,246.0,32,True,2021-07-30 19:47:58.000000,2021.7.2,156.0,distributed,conda-forge/distributed,,,,21465.0,19687.0,https://pypi.org/project/distributed,2021-08-13 23:04:47.000000,1778.0,3454167.0,3532678.0,https://anaconda.org/conda-forge/distributed,2021-08-14 02:07:09.765000,4946205.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n69,imageio,imageio/imageio,,image,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000000,2021-08-09 19:36:12.000000,2021-08-09 19:36:12.000000,180,69.0,305.0,911.0,1271.0,Python library for reading and writing image data.,80.0,32,True,2020-07-10 07:45:22.000000,2.9.0,31.0,imageio,conda-forge/imageio,,,,50436.0,46598.0,https://pypi.org/project/imageio,2020-07-06 13:20:41.000000,3838.0,7529289.0,7568376.0,https://anaconda.org/conda-forge/imageio,2020-07-06 14:13:25.518000,2149814.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n70,pyproj,pyproj4/pyproj,,geospatial-data,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000000,2021-08-18 00:59:51.000000,2021-08-18 00:57:50.000000,157,10.0,421.0,646.0,1192.0,Python interface to PROJ (cartographic projections and coordinate transformations library).,42.0,32,True,2021-05-24 21:05:22.000000,3.1.0,35.0,pyproj,conda-forge/pyproj,,,,13246.0,10784.0,https://pypi.org/project/pyproj,2021-05-24 21:05:22.000000,2462.0,3370611.0,3406019.0,https://anaconda.org/conda-forge/pyproj,2021-08-12 17:50:10.549000,2407803.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n71,Keras,keras-team/keras,,ml-frameworks,https://github.com/keras-team/keras,https://github.com/keras-team/keras,Apache-2.0,2015-03-28 00:35:42.000000,2021-08-19 09:56:16.000000,2021-08-19 04:12:03.000000,18768,429.0,10337.0,52170.0,5849.0,Deep Learning for humans.,960.0,31,True,2021-08-09 17:27:44.000000,2.6.0,55.0,keras,conda-forge/keras,,https://keras.io,['tensorflow'],0.0,,https://pypi.org/project/keras,2021-08-09 17:06:05.000000,0.0,3967635.0,3997610.0,https://anaconda.org/conda-forge/keras,2021-04-19 19:56:38.549000,1798554.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n72,jieba,fxsjy/jieba,,chinese-nlp,https://github.com/fxsjy/jieba,https://github.com/fxsjy/jieba,MIT,2012-09-29 07:52:01.000000,2021-07-25 14:17:48.000000,2020-02-15 08:33:35.000000,6293,617.0,206.0,26847.0,523.0,Chinese Words Segmentation Utilities.,48.0,31,False,2020-01-20 14:27:23.000000,0.42.1,32.0,jieba,conda-forge/jieba,,,,13484.0,10968.0,https://pypi.org/project/jieba,2020-01-20 14:27:23.000000,2516.0,428883.0,430585.0,https://anaconda.org/conda-forge/jieba,2021-05-30 19:33:02.597000,88526.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n73,PaddlePaddle,PaddlePaddle/Paddle,,ml-frameworks,https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000000,2021-08-19 14:04:44.000000,2021-08-19 11:26:49.000000,3936,2813.0,11089.0,16303.0,15069.0,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,608.0,31,True,2021-08-11 08:08:12.000000,2.1.2,47.0,paddlepaddle,,,,['paddle'],82.0,66.0,https://pypi.org/project/paddlepaddle,2021-08-03 10:51:44.000000,16.0,33365.0,33620.0,,,,,,,,2.0,15302.0,,,,,,,,,,,,,,,,,,,,\n74,jax,google/jax,,ml-frameworks,https://github.com/google/jax,https://github.com/google/jax,Apache-2.0,2018-10-25 21:25:02.000000,2021-08-19 13:32:10.000000,2021-08-18 22:15:48.000000,1286,818.0,1795.0,13919.0,,\"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.\",316.0,31,True,2021-08-13 04:41:56.000000,0.2.19,98.0,jax,conda-forge/jaxlib,,,,2320.0,2274.0,https://pypi.org/project/jax,2021-08-13 04:41:56.000000,46.0,1578802.0,1586030.0,https://anaconda.org/conda-forge/jaxlib,2021-08-06 20:42:49.754000,180710.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n75,Albumentations,albumentations-team/albumentations,,image,https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000000,2021-08-18 07:38:02.000000,2021-08-18 07:38:01.000000,1088,219.0,297.0,8586.0,659.0,Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation:..,86.0,31,True,2021-07-15 10:14:24.000000,1.0.3,48.0,albumentations,conda-forge/albumentations,,,['pytorch'],4904.0,4776.0,https://pypi.org/project/albumentations,2021-07-15 10:14:24.000000,128.0,193926.0,194821.0,https://anaconda.org/conda-forge/albumentations,2021-07-15 13:53:18.638000,23275.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n76,wordcloud,amueller/word_cloud,,data-viz,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59.000000,2021-07-27 04:30:36.000000,2021-03-01 23:14:14.000000,2079,100.0,353.0,8242.0,543.0,A little word cloud generator in Python.,61.0,31,True,2020-11-11 21:41:02.000000,1.8.1,16.0,wordcloud,conda-forge/wordcloud,,,,1104.0,,https://pypi.org/project/wordcloud,2020-11-11 21:41:02.000000,1104.0,558000.0,561879.0,https://anaconda.org/conda-forge/wordcloud,2021-01-14 18:03:24.960000,232783.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n77,Altair,altair-viz/altair,,data-viz,https://github.com/altair-viz/altair,https://github.com/altair-viz/altair,BSD-3-Clause,2015-09-19 03:14:04.000000,2021-08-18 16:13:39.000000,2021-08-18 16:13:39.000000,608,234.0,1328.0,6860.0,3070.0,Declarative statistical visualization library for Python.,130.0,31,True,2020-04-01 13:29:16.000000,4.1.0,26.0,altair,conda-forge/altair,,,,15001.0,14631.0,https://pypi.org/project/altair,2020-04-01 13:23:10.000000,370.0,2118908.0,2132814.0,https://anaconda.org/conda-forge/altair,2020-04-01 16:49:36.519000,848307.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n78,Prefect,PrefectHQ/prefect,,data-pipelines,https://github.com/PrefectHQ/prefect,https://github.com/PrefectHQ/prefect,Apache-2.0,2018-06-29 21:59:26.000000,2021-08-19 15:10:23.000000,2021-08-17 23:02:47.000000,636,369.0,1504.0,6703.0,14098.0,The easiest way to automate your data.,228.0,31,True,2021-08-17 23:03:36.000000,0.15.4,100.0,prefect,conda-forge/prefect,,,,410.0,408.0,https://pypi.org/project/prefect,2021-08-17 23:04:00.000000,2.0,157731.0,162044.0,https://anaconda.org/conda-forge/prefect,2021-07-28 16:33:18.774000,125084.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n79,Catboost,catboost/catboost,,ml-frameworks,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000000,2021-08-19 13:49:55.000000,2021-08-19 13:49:52.000000,909,311.0,1270.0,6006.0,17631.0,\"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..\",856.0,31,True,2021-08-05 15:47:36.000000,0.26.1,95.0,catboost,conda-forge/catboost,,,,162.0,,https://pypi.org/project/catboost,2021-08-05 15:34:18.000000,162.0,2452215.0,2473603.0,https://anaconda.org/conda-forge/catboost,2021-08-05 16:31:13.541000,782971.0,,,,,2.0,61698.0,,,,,,,,,,,,,,,,,,,,\n80,sentence-transformers,UKPLab/sentence-transformers,,nlp,https://github.com/UKPLab/sentence-transformers,https://github.com/UKPLab/sentence-transformers,Apache-2.0,2019-07-24 10:53:51.000000,2021-08-17 19:20:38.000000,2021-08-14 04:11:35.000000,1104,498.0,522.0,5843.0,955.0,Multilingual Sentence & Image Embeddings with BERT.,59.0,31,True,2021-06-24 16:16:11.000000,2.0.0,39.0,sentence-transformers,,,,['pytorch'],1430.0,1430.0,https://pypi.org/project/sentence-transformers,2021-06-24 15:02:44.000000,0.0,483723.0,483723.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n81,Hyperopt,hyperopt/hyperopt,,hyperopt,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59.000000,2021-08-02 12:12:55.000000,2021-08-02 12:12:55.000000,880,344.0,228.0,5801.0,1182.0,Distributed Asynchronous Hyperparameter Optimization in Python.,89.0,31,True,2020-10-07 09:52:56.000000,0.2.5,11.0,hyperopt,conda-forge/hyperopt,,,,4484.0,3980.0,https://pypi.org/project/hyperopt,2020-10-07 09:52:56.000000,504.0,1117310.0,1124509.0,https://anaconda.org/conda-forge/hyperopt,2020-10-14 07:57:14.292000,251987.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n82,Pydub,jiaaro/pydub,,audio,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38.000000,2021-06-29 21:59:01.000000,2021-06-08 14:06:40.000000,736,204.0,248.0,5535.0,742.0,Manipulate audio with a simple and easy high level interface.,90.0,31,True,2021-03-10 02:10:41.000000,0.25.1,68.0,pydub,conda-forge/pydub,,,,9677.0,8323.0,https://pypi.org/project/pydub,2021-03-10 02:09:53.000000,1354.0,1734084.0,1734620.0,https://anaconda.org/conda-forge/pydub,2021-03-13 05:16:50.142000,17181.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n83,imbalanced-learn,scikit-learn-contrib/imbalanced-learn,,sklearn-utils,https://github.com/scikit-learn-contrib/imbalanced-learn,https://github.com/scikit-learn-contrib/imbalanced-learn,MIT,2014-08-16 05:08:26.000000,2021-08-11 15:07:11.000000,2021-05-25 16:10:30.000000,1110,42.0,434.0,5403.0,740.0,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,58.0,31,True,2021-02-18 14:00:33.000000,0.8.0,27.0,imbalanced-learn,conda-forge/imbalanced-learn,,,['sklearn'],7036.0,6756.0,https://pypi.org/project/imbalanced-learn,2021-02-18 13:50:00.000000,280.0,1773254.0,1776517.0,https://anaconda.org/conda-forge/imbalanced-learn,2021-02-18 15:40:00.937000,150102.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n84,sentencepiece,google/sentencepiece,,nlp,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000000,2021-08-15 04:24:15.000000,2021-07-02 15:44:09.000000,705,36.0,426.0,5293.0,697.0,Unsupervised text tokenizer for Neural Network-based text generation.,57.0,31,True,2021-06-18 09:34:31.000000,0.1.96,31.0,sentencepiece,conda-forge/sentencepiece,,,,9659.0,9419.0,https://pypi.org/project/sentencepiece,2021-06-18 09:34:31.000000,240.0,3109816.0,3116668.0,https://anaconda.org/conda-forge/sentencepiece,2021-02-09 05:49:50.247000,83376.0,,,,,1.0,15825.0,,,,,,,,,,,,,,,,,,,,\n85,Dagster,dagster-io/dagster,,data-pipelines,https://github.com/dagster-io/dagster,https://github.com/dagster-io/dagster,Apache-2.0,2018-04-30 16:30:04.000000,2021-08-19 15:14:22.000000,2021-08-19 08:30:45.000000,422,669.0,2472.0,3673.0,8366.0,\"A data orchestrator for machine learning, analytics, and ETL.\",151.0,31,True,2021-08-13 06:04:15.000000,0.12.6,355.0,dagster,conda-forge/dagster,,,,216.0,212.0,https://pypi.org/project/dagster,2021-08-12 23:22:02.000000,4.0,205861.0,222496.0,https://anaconda.org/conda-forge/dagster,2021-08-13 12:02:03.148000,349354.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n86,MLxtend,rasbt/mlxtend,,sklearn-utils,https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16.000000,2021-07-19 12:30:10.000000,2021-07-19 12:30:10.000000,712,95.0,292.0,3601.0,1224.0,A library of extension and helper modules for Python's data analysis and machine learning libraries.,85.0,31,True,2020-11-26 04:18:15.000000,0.18.0,46.0,mlxtend,conda-forge/mlxtend,,,['sklearn'],4104.0,3914.0,https://pypi.org/project/mlxtend,2020-11-26 04:18:15.000000,190.0,1060301.0,1063942.0,https://anaconda.org/conda-forge/mlxtend,2020-11-26 05:32:00.667000,178414.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n87,dbt,fishtown-analytics/dbt,,data-pipelines,https://github.com/dbt-labs/dbt,https://github.com/dbt-labs/dbt,Apache-2.0,2016-03-10 02:38:00.000000,2021-08-19 13:26:54.000000,2021-08-19 13:26:53.000000,639,383.0,1751.0,3381.0,2481.0,dbt (data build tool) enables data analysts and engineers to transform their data using the same practices that..,165.0,31,True,2021-08-11 20:06:59.000000,0.20.1,161.0,dbt,conda-forge/dbt,,,,380.0,362.0,https://pypi.org/project/dbt,2021-08-16 19:25:50.000000,18.0,450568.0,453688.0,https://anaconda.org/conda-forge/dbt,2021-05-04 13:04:32.097000,177886.0,,,,,2.0,,,,,,,,,,dbt,,,dbt-labs/dbt,,,,,,,,\n88,GeoPandas,geopandas/geopandas,,geospatial-data,https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000000,2021-08-19 03:48:39.000000,2021-08-09 10:21:51.000000,604,338.0,763.0,2743.0,1422.0,Python tools for geographic data.,146.0,31,True,2021-02-28 21:10:46.000000,0.9.0,37.0,geopandas,conda-forge/geopandas,,,['pandas'],10822.0,9656.0,https://pypi.org/project/geopandas,2021-02-28 21:10:43.000000,1166.0,1407788.0,1424674.0,https://anaconda.org/conda-forge/geopandas,2021-06-09 14:45:13.341000,1096438.0,,,,,2.0,1111.0,,,,,,,,,,,,,,,,,,,,\n89,opencv-python,opencv/opencv-python,,image,https://github.com/opencv/opencv-python,https://github.com/opencv/opencv-python,MIT,2016-04-08 13:36:40.000000,2021-07-23 13:14:10.000000,2021-07-23 13:14:10.000000,411,27.0,425.0,2159.0,769.0,\"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..\",32.0,31,True,2021-07-09 10:29:36.000000,56,55.0,opencv-python,,,,,12560.0,,https://pypi.org/project/opencv-python,2021-07-11 05:16:04.000000,12560.0,5639620.0,5639620.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n90,numexpr,pydata/numexpr,,data-containers,https://github.com/pydata/numexpr,https://github.com/pydata/numexpr,MIT,2013-11-30 22:33:48.000000,2021-07-07 23:40:02.000000,2021-03-03 18:33:11.000000,169,55.0,252.0,1622.0,686.0,\"Fast numerical array expression evaluator for Python, NumPy, PyTables, pandas, bcolz and more.\",58.0,31,True,2021-03-03 18:13:19.000000,2.7.3,40.0,numexpr,conda-forge/numexpr,,,,5482.0,,https://pypi.org/project/numexpr,2021-03-03 18:13:19.000000,5482.0,1509304.0,1556913.0,https://anaconda.org/conda-forge/numexpr,2021-03-05 20:56:41.232000,2856586.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n91,SageMaker SDK,aws/sagemaker-python-sdk,,ml-experiments,https://github.com/aws/sagemaker-python-sdk,https://github.com/aws/sagemaker-python-sdk,Apache-2.0,2017-11-14 01:03:33.000000,2021-08-19 06:29:33.000000,2021-08-19 05:41:38.000000,660,252.0,614.0,1448.0,2141.0,A library for training and deploying machine learning models on Amazon SageMaker.,218.0,31,True,2021-08-16 16:42:34.000000,2.54.0,361.0,sagemaker,,,,\"['mxnet', 'tensorflow']\",851.0,823.0,https://pypi.org/project/sagemaker,2021-08-16 16:42:39.000000,28.0,906959.0,906959.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n92,Geocoder,DenisCarriere/geocoder,,geospatial-data,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21.000000,2021-08-10 15:25:56.000000,2018-10-12 15:53:05.000000,260,90.0,217.0,1377.0,1251.0,Python Geocoder.,74.0,31,False,2018-04-04 12:34:51.000000,1.38.1,108.0,geocoder,conda-forge/geocoder,,,,4580.0,3736.0,https://pypi.org/project/geocoder,2018-04-04 12:34:51.000000,844.0,2072644.0,2074337.0,https://anaconda.org/conda-forge/geocoder,2019-06-27 16:40:50.469000,91462.0,,,,,2.0,,,,,,,,,,,,,,geocoder,,,,,,,\n93,Wand,emcconville/wand,,image,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000000,2021-08-17 02:13:00.000000,2021-08-17 02:07:44.000000,187,18.0,343.0,1109.0,1720.0,The ctypes-based simple ImageMagick binding for Python.,96.0,31,True,2021-08-17 02:43:04.000000,0.6.7,49.0,wand,,,,,7196.0,6026.0,https://pypi.org/project/wand,2021-08-17 02:13:00.000000,1170.0,395586.0,395745.0,,,,,,,,2.0,5252.0,,,,,,,,,,,,,,,,,,,,\n94,Fiona,Toblerity/Fiona,,geospatial-data,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00.000000,2021-08-12 02:24:51.195000,2021-06-24 02:36:41.000000,175,80.0,566.0,827.0,1264.0,Fiona reads and writes geographic data files.,65.0,31,True,2021-05-31 23:04:33.000000,1.8.20,98.0,fiona,conda-forge/fiona,,,,7635.0,6447.0,https://pypi.org/project/fiona,2021-05-31 23:04:33.000000,1188.0,1749432.0,1782657.0,https://anaconda.org/conda-forge/fiona,2021-08-12 02:24:51.195000,2159655.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n95,fastText,facebookresearch/fastText,,nlp,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000000,2021-08-06 15:56:31.393000,2020-07-18 00:20:40.000000,4369,460.0,597.0,22857.0,379.0,Library for fast text representation and classification.,58.0,30,False,2020-04-28 09:54:50.000000,0.9.2,35.0,fasttext,conda-forge/fasttext,,,,2229.0,2039.0,https://pypi.org/project/fasttext,2020-04-28 09:54:50.000000,190.0,379118.0,379590.0,https://anaconda.org/conda-forge/fasttext,2021-08-06 15:56:31.393000,21751.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n96,DeepSpeech,mozilla/DeepSpeech,,audio,https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53.000000,2021-07-30 19:01:32.000000,2021-07-30 18:50:58.000000,3232,109.0,1918.0,17927.0,3464.0,\"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..\",161.0,30,True,2020-12-10 17:22:09.000000,0.9.3,100.0,deepspeech,,,,['tensorflow'],618.0,560.0,https://pypi.org/project/deepspeech,2020-12-19 10:05:12.000000,58.0,15511.0,34295.0,,,,,,,,1.0,657454.0,,,,,,,,,,,,,,,,,,,,\n97,PyFlink,apache/flink,,ml-frameworks,https://github.com/apache/flink,https://github.com/apache/flink,Apache-2.0,2014-06-07 07:00:10.000000,2021-08-19 13:46:39.000000,2021-08-19 10:14:34.000000,9226,573.0,,16930.0,28041.0,Apache Flink Python API.,1347.0,30,True,2021-08-02 04:01:31.000000,1.13.2,21.0,apache-flink,,,,,0.0,,https://pypi.org/project/apache-flink,2021-08-02 04:01:31.000000,0.0,12317.0,12317.0,,,,,,,,2.0,,-3.0,,,,,,,,,,,,,,,,,,,\n98,fairseq,pytorch/fairseq,,nlp,https://github.com/pytorch/fairseq,https://github.com/pytorch/fairseq,MIT,2017-08-29 16:26:12.000000,2021-08-18 12:08:08.000000,2021-08-17 14:03:33.000000,3436,912.0,1965.0,13582.0,1993.0,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,346.0,30,True,2021-01-05 20:26:45.000000,0.10.2,13.0,fairseq,,,,['pytorch'],510.0,490.0,https://pypi.org/project/fairseq,2021-01-05 20:26:45.000000,20.0,31110.0,31113.0,,,,,,,,2.0,136.0,,,,,,,,,,,,,,,,,,,,\n99,PyTorch Image Models,rwightman/pytorch-image-models,,image,https://github.com/rwightman/pytorch-image-models,https://github.com/rwightman/pytorch-image-models,Apache-2.0,2019-02-02 05:51:12.000000,2021-08-19 10:01:38.000000,2021-08-19 05:55:02.000000,1865,43.0,322.0,12285.0,1037.0,\"PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision..\",52.0,30,True,2021-06-30 16:35:55.000000,0.4.12,25.0,,,,,['pytorch'],944.0,944.0,,,,,20045.0,,,,,,,,2.0,541219.0,,,,,,,,,,,,,,,,,,,,\n100,pyecharts,pyecharts/pyecharts,,data-viz,https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000000,2021-08-02 09:46:10.000000,2021-05-07 10:24:17.000000,2485,22.0,1439.0,11334.0,1515.0,Python Echarts Plotting Library.,30.0,30,True,2020-10-29 15:14:08.000000,1.9.0,66.0,pyecharts,,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,['jupyter'],2057.0,1775.0,https://pypi.org/project/pyecharts,2020-10-29 15:14:08.000000,282.0,38678.0,38678.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n101,Sonnet,deepmind/sonnet,,ml-frameworks,https://github.com/deepmind/sonnet,https://github.com/deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35.000000,2021-08-13 18:12:26.000000,2021-08-13 18:12:21.000000,1281,22.0,142.0,8956.0,545.0,TensorFlow-based neural network library.,52.0,30,True,2020-03-27 10:36:19.000000,2.0.0,27.0,dm-sonnet,conda-forge/sonnet,,,['tensorflow'],723.0,641.0,https://pypi.org/project/dm-sonnet,2020-03-27 10:36:10.000000,82.0,1372452.0,1372975.0,https://anaconda.org/conda-forge/sonnet,2020-11-14 18:13:23.843000,10987.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n102,Annoy,spotify/annoy,,nn-search,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40.000000,2021-08-17 09:37:15.000000,2021-08-17 09:37:15.000000,931,37.0,289.0,8860.0,826.0,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,71.0,30,True,2020-09-18 16:07:59.000000,1.17.0,43.0,annoy,,,,,2071.0,1711.0,https://pypi.org/project/annoy,2020-09-18 16:07:59.000000,360.0,622399.0,622399.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n103,fuzzywuzzy,seatgeek/fuzzywuzzy,,nlp,https://github.com/seatgeek/fuzzywuzzy,https://github.com/seatgeek/fuzzywuzzy,GPL-2.0,2011-07-08 19:32:34.000000,2021-05-25 22:02:00.000000,2021-02-20 06:36:20.000000,851,103.0,102.0,8425.0,381.0,Fuzzy String Matching in Python.,68.0,30,False,2020-02-13 22:14:12.000000,0.18.0,27.0,fuzzywuzzy,conda-forge/fuzzywuzzy,,,,12850.0,9644.0,https://pypi.org/project/fuzzywuzzy,2020-02-13 21:06:25.000000,3206.0,5410307.0,5415530.0,https://anaconda.org/conda-forge/fuzzywuzzy,2020-11-18 12:59:01.409000,318633.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n104,pretrainedmodels,Cadene/pretrained-models.pytorch,,pytorch-utils,https://github.com/Cadene/pretrained-models.pytorch,https://github.com/Cadene/pretrained-models.pytorch,BSD-3-Clause,2017-04-09 15:54:23.000000,2021-07-29 10:41:37.000000,2020-04-16 08:02:22.000000,1686,90.0,89.0,8129.0,154.0,\"Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.\",22.0,30,False,2018-10-29 08:18:45.000000,0.7.4,16.0,pretrainedmodels,,,,['pytorch'],1257.0,1153.0,https://pypi.org/project/pretrainedmodels,2018-10-29 08:18:45.000000,104.0,71737.0,71737.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n105,glfw,glfw/glfw,,image,https://github.com/glfw/glfw,https://github.com/glfw/glfw,Zlib,2013-04-18 15:24:53.000000,2021-08-16 23:03:37.000000,2021-08-16 19:27:40.000000,2922,466.0,1033.0,7971.0,4286.0,\"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.\",169.0,30,False,2021-04-08 17:55:06.000000,3.3.4,38.0,glfw,conda-forge/glfw,,,,214.0,,https://pypi.org/project/glfw,2021-02-28 20:43:49.000000,214.0,78421.0,110986.0,https://anaconda.org/conda-forge/glfw,2021-04-08 18:43:30.580000,36466.0,,,,,2.0,2413989.0,,,,,,,,,,,,,,,,,,,,\n106,TextBlob,sloria/TextBlob,,nlp,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18.000000,2021-07-27 12:13:10.000000,2021-05-10 13:15:20.000000,995,85.0,151.0,7795.0,535.0,\"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..\",34.0,30,True,2019-02-24 23:03:17.000000,0.15.3,55.0,textblob,conda-forge/textblob,,,,16564.0,14072.0,https://pypi.org/project/textblob,2019-02-24 23:03:17.000000,2492.0,629068.0,631245.0,https://anaconda.org/conda-forge/textblob,2019-02-24 23:32:55.233000,130620.0,,,,,2.0,94.0,,,,,,,,,,,,,,,,,,,,\n107,Vowpal Wabbit,VowpalWabbit/vowpal_wabbit,,ml-frameworks,https://github.com/VowpalWabbit/vowpal_wabbit,https://github.com/VowpalWabbit/vowpal_wabbit,BSD-3-Clause,2009-07-31 19:36:58.000000,2021-08-19 13:22:38.000000,2021-08-18 22:23:18.000000,1746,154.0,930.0,7655.0,9331.0,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,302.0,30,True,2021-07-14 18:02:58.000000,8.11.0,18.0,vowpalwabbit,,,,,178.0,162.0,https://pypi.org/project/vowpalwabbit,2021-07-14 18:02:58.000000,16.0,22136.0,22136.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n108,tensorboardX,lanpa/tensorboardX,,ml-experiments,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19.000000,2021-08-10 02:00:22.589000,2021-07-09 12:39:08.000000,825,66.0,361.0,7065.0,473.0,\"tensorboard for pytorch (and chainer, mxnet, numpy, ...).\",67.0,30,True,2021-07-09 12:36:58.000000,2.4,15.0,tensorboardX,conda-forge/tensorboardx,,,,15159.0,13825.0,https://pypi.org/project/tensorboardX,2021-06-30 12:49:17.000000,1334.0,1767315.0,1777984.0,https://anaconda.org/conda-forge/tensorboardx,2021-08-10 02:00:22.589000,458540.0,,,,,2.0,339.0,,,,,,,,,,,,,,,,,,,,\n109,SpeechRecognition,Uberi/speech_recognition,,audio,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54.000000,2021-07-07 12:44:37.000000,2019-07-02 17:29:47.000000,1966,229.0,277.0,5794.0,360.0,\"Speech recognition module for Python, supporting several engines and APIs, online and offline.\",41.0,30,False,2017-12-05 14:05:14.000000,3.8.1,52.0,SpeechRecognition,conda-forge/speechrecognition,,,,10995.0,9907.0,https://pypi.org/project/SpeechRecognition,2017-12-05 13:58:29.000000,1088.0,225512.0,227563.0,https://anaconda.org/conda-forge/speechrecognition,2021-01-11 17:26:33.040000,123111.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n110,UMAP,lmcinnes/umap,,data-viz,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17.000000,2021-08-10 18:12:08.000000,2021-08-10 18:12:08.000000,536,268.0,270.0,4962.0,1466.0,Uniform Manifold Approximation and Projection.,90.0,30,True,2021-02-08 21:04:43.000000,0.5.1,35.0,umap-learn,,,,,3724.0,3498.0,https://pypi.org/project/umap-learn,2021-02-08 21:04:43.000000,226.0,632112.0,632112.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n111,GluonCV,dmlc/gluon-cv,,image,https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21.000000,2021-08-19 09:00:51.000000,2021-08-06 05:53:35.000000,1106,63.0,722.0,4871.0,885.0,Gluon CV Toolkit.,114.0,30,True,2021-07-25 02:48:59.000000,0.10.4,1195.0,gluoncv,,,,['mxnet'],589.0,559.0,https://pypi.org/project/gluoncv,2021-08-19 09:00:51.000000,30.0,590804.0,590804.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n112,PyCaret,pycaret/pycaret,,ml-experiments,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000000,2021-08-18 15:32:33.000000,2021-08-16 14:18:37.000000,865,156.0,838.0,3883.0,1878.0,\"An open-source, low-code machine learning library in Python.\",60.0,30,True,2021-07-25 13:16:53.000000,2.3.3,72.0,pycaret,,,,,1193.0,1193.0,https://pypi.org/project/pycaret,2021-07-25 13:16:53.000000,0.0,120261.0,120294.0,,,,,,,,2.0,435.0,,,,,,,,,,,,,,,,,,,,\n113,Tesseract,madmaze/pytesseract,,ocr,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000000,2021-08-10 07:42:00.000000,2021-08-10 07:41:58.000000,539,10.0,259.0,3737.0,411.0,Python-tesseract is an optical character recognition (OCR) tool for python.,38.0,30,True,2021-06-28 23:00:22.000000,0.3.8,25.0,pytesseract,conda-forge/pytesseract,,,,1428.0,,https://pypi.org/project/pytesseract,2021-06-28 23:00:22.000000,1428.0,1445436.0,1464080.0,https://anaconda.org/conda-forge/pytesseract,2021-06-05 17:42:22.118000,466106.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n114,TensorFlow Datasets,tensorflow/datasets,,tensorflow-utils,https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000000,2021-08-19 15:21:23.000000,2021-08-19 15:11:00.000000,1082,486.0,580.0,2944.0,4159.0,\"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...\",217.0,30,True,2021-07-28 12:29:08.000000,4.4.0,23.0,tensorflow-datasets,,,,['tensorflow'],102.0,,https://pypi.org/project/tensorflow-datasets,2021-07-28 12:24:01.000000,102.0,2393333.0,2393333.0,,,,,,,,2.0,,-3.0,,,,,,,,,,,,,,,,,,,\n115,Koalas,databricks/koalas,,data-containers,https://github.com/databricks/koalas,https://github.com/databricks/koalas,Apache-2.0,2019-01-03 21:46:54.000000,2021-08-09 08:57:52.000000,2021-06-18 16:22:43.000000,317,121.0,480.0,2899.0,1542.0,Koalas: pandas API on Apache Spark.,50.0,30,True,2021-06-18 16:33:05.000000,1.8.1,46.0,koalas,conda-forge/koalas,,,\"['spark', 'pandas']\",109.0,107.0,https://pypi.org/project/koalas,2021-06-18 16:33:05.000000,2.0,3578964.0,3582598.0,https://anaconda.org/conda-forge/koalas,2021-06-18 20:03:35.848000,97225.0,,,,,2.0,998.0,,,,,,,,,,,,,,,,,,,,\n116,missingno,ResidentMario/missingno,,data-viz,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50.000000,2021-07-04 16:12:30.000000,2021-07-04 16:09:34.000000,371,9.0,101.0,2860.0,180.0,Missing data visualization module for Python.,17.0,30,True,2021-07-04 16:12:30.000000,0.5.0,24.0,missingno,conda-forge/missingno,,,,4778.0,4626.0,https://pypi.org/project/missingno,2021-07-04 16:12:30.000000,152.0,465541.0,467912.0,https://anaconda.org/conda-forge/missingno,2020-02-15 10:07:41.253000,116207.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n117,AzureML SDK,Azure/MachineLearningNotebooks,,ml-experiments,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000000,2021-08-19 01:16:32.000000,2021-08-19 01:16:31.000000,1816,166.0,988.0,2613.0,1148.0,Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft.,57.0,30,True,2021-07-06 16:18:52.000000,1.32.0,79.0,azureml-sdk,,,,,60.0,,https://pypi.org/project/azureml-sdk,2021-08-02 16:37:56.000000,60.0,761931.0,761943.0,,,,,,,,2.0,426.0,,,,,,,,,,,,,,,,,,,,\n118,PyQtGraph,pyqtgraph/pyqtgraph,,data-viz,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21.000000,2021-08-17 22:07:59.000000,2021-08-17 14:29:10.000000,859,285.0,622.0,2513.0,2981.0,Fast data visualization and GUI tools for scientific / engineering applications.,204.0,30,True,2021-07-08 07:34:18.000000,pyqtgraph-0.12.2,15.0,pyqtgraph,conda-forge/pyqtgraph,,,,890.0,,https://pypi.org/project/pyqtgraph,2021-07-08 08:19:30.000000,890.0,63023.0,66506.0,https://anaconda.org/conda-forge/pyqtgraph,2021-07-08 16:50:03.536000,191566.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n119,scikit-optimize,scikit-optimize/scikit-optimize,,hyperopt,https://github.com/scikit-optimize/scikit-optimize,https://github.com/scikit-optimize/scikit-optimize,BSD-3-Clause,2016-03-20 21:10:54.000000,2021-08-19 09:29:43.000000,2021-06-22 12:20:42.000000,396,205.0,373.0,2162.0,1562.0,Sequential model-based optimization with a `scipy.optimize` interface.,74.0,30,True,2020-09-04 09:08:10.000000,0.8.1,22.0,scikit-optimize,conda-forge/scikit-optimize,,,,2056.0,1896.0,https://pypi.org/project/scikit-optimize,2020-09-04 09:08:10.000000,160.0,971678.0,979373.0,https://anaconda.org/conda-forge/scikit-optimize,2020-09-04 09:50:52.372000,377088.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n120,xarray,pydata/xarray,,data-containers,https://github.com/pydata/xarray,https://github.com/pydata/xarray,Apache-2.0,2013-09-30 17:21:10.000000,2021-08-19 13:40:38.000000,2021-08-19 05:12:37.000000,690,852.0,2129.0,2160.0,,N-D labeled arrays and datasets in Python.,328.0,30,True,2021-07-23 21:37:47.000000,0.19.0,60.0,xarray,conda-forge/xarray,,,,8386.0,7254.0,https://pypi.org/project/xarray,2021-07-23 21:37:47.000000,1132.0,856674.0,914130.0,https://anaconda.org/conda-forge/xarray,2021-07-26 15:07:14.617000,3734682.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n121,Graphviz,xflr6/graphviz,,data-viz,https://github.com/xflr6/graphviz,https://github.com/xflr6/graphviz,MIT,2014-01-12 17:49:29.000000,2021-08-02 19:18:18.000000,2021-07-31 14:06:38.000000,150,9.0,104.0,1041.0,491.0,Simple Python interface for Graphviz.,15.0,30,True,2020-10-07 09:06:41.000000,0.14.2,48.0,graphviz,,,,,27364.0,22982.0,https://pypi.org/project/graphviz,2021-07-14 07:23:59.000000,4382.0,6379313.0,6379313.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n122,Bottleneck,pydata/bottleneck,,data-containers,https://github.com/pydata/bottleneck,https://github.com/pydata/bottleneck,BSD-2-Clause,2010-11-27 23:21:22.000000,2021-07-28 08:23:33.000000,2021-01-24 18:39:03.000000,73,33.0,177.0,633.0,1241.0,Fast NumPy array functions written in C.,21.0,30,True,2020-02-21 06:22:16.000000,1.3.2,21.0,Bottleneck,conda-forge/bottleneck,,,,27855.0,24963.0,https://pypi.org/project/Bottleneck,2020-02-21 06:22:16.000000,2892.0,643933.0,670122.0,https://anaconda.org/conda-forge/bottleneck,2021-01-21 02:48:32.623000,1649957.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n123,Face Recognition,ageitgey/face_recognition,,image,https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39.000000,2021-08-18 05:50:19.000000,2021-06-14 10:10:40.000000,11242,615.0,546.0,41103.0,219.0,The world's simplest facial recognition api for Python and the command line.,47.0,29,True,2018-08-21 18:34:21.000000,1.2.3,21.0,face_recognition,,,,['pytorch'],406.0,,https://pypi.org/project/face_recognition,2018-08-21 18:34:21.000000,406.0,50800.0,50808.0,,,,,,,,2.0,444.0,,,,,,,,,,,,,,,,,,,,\n124,detectron2,facebookresearch/detectron2,,image,https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000000,2021-08-19 06:33:36.000000,2021-08-19 06:33:34.000000,4578,112.0,2479.0,17649.0,1214.0,\"Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.\",174.0,29,True,2021-07-23 18:55:45.000000,0.5,9.0,,conda-forge/detectron2,,,['pytorch'],282.0,282.0,,,,,1887.0,https://anaconda.org/conda-forge/detectron2,2021-07-30 18:54:13.472000,28307.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n125,Faiss,facebookresearch/faiss,,nn-search,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000000,2021-08-19 14:09:51.000000,2021-07-26 22:11:36.000000,2260,175.0,1393.0,14389.0,558.0,A library for efficient similarity search and clustering of dense vectors.,87.0,29,True,2021-06-09 09:16:17.000000,1.1.2,53.0,pymilvus,conda-forge/faiss,,,,456.0,450.0,https://pypi.org/project/pymilvus,2021-08-11 10:58:45.000000,6.0,29236.0,39934.0,https://anaconda.org/conda-forge/faiss,2021-04-19 13:07:02.042000,160482.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n126,zipline,quantopian/zipline,,financial-data,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29.000000,2021-04-18 22:05:29.000000,2020-10-14 16:36:49.000000,4107,343.0,651.0,14301.0,6226.0,\"Zipline, a Pythonic Algorithmic Trading Library.\",152.0,29,True,2020-10-05 15:46:20.429000,1.4.1,30.0,zipline,,,,,914.0,756.0,https://pypi.org/project/zipline,2020-10-05 15:46:20.429000,158.0,5010.0,5010.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n127,Prophet,facebook/prophet,,time-series-data,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000000,2021-08-14 12:57:43.000000,2021-05-11 23:44:25.000000,3776,129.0,1543.0,13201.0,667.0,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,132.0,29,True,2021-04-02 23:45:16.000000,1.0,14.0,fbprophet,,,,,150.0,,https://pypi.org/project/fbprophet,2020-09-05 16:12:50.000000,150.0,1075118.0,1075129.0,,,,,,,,1.0,629.0,,,,,,,,,,,,,,,,,,,,\n128,EasyOCR,JaidedAI/EasyOCR,,ocr,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000000,2021-08-12 08:37:25.000000,2021-08-10 07:16:15.000000,1479,123.0,262.0,12326.0,433.0,\"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..\",83.0,29,True,2021-06-29 09:44:35.000000,1.4,24.0,easyocr,,,,,450.0,450.0,https://pypi.org/project/easyocr,2021-07-20 08:56:36.000000,0.0,43313.0,75151.0,,,,,,,,1.0,445743.0,,,,,,,,,,,,,,,,,,,,\n129,PyTorch Geometric,rusty1s/pytorch_geometric,,graph,https://github.com/rusty1s/pytorch_geometric,https://github.com/rusty1s/pytorch_geometric,MIT,2017-10-06 16:03:03.000000,2021-08-18 12:55:33.000000,2021-08-18 12:55:32.000000,2034,815.0,1308.0,11723.0,4910.0,Geometric Deep Learning Extension Library for PyTorch.,188.0,29,True,2021-06-26 08:51:08.000000,1.7.2,28.0,torch-geometric,,,,['pytorch'],24.0,,https://pypi.org/project/torch-geometric,2021-06-26 08:51:08.000000,24.0,38209.0,38209.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n130,horovod,horovod/horovod,,distributed-ml,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000000,2021-08-19 08:07:35.000000,2021-08-18 11:46:57.000000,1880,254.0,1605.0,11555.0,1023.0,\"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.\",125.0,29,True,2021-06-10 15:58:27.000000,0.22.1,66.0,horovod,,,,,453.0,413.0,https://pypi.org/project/horovod,2021-06-10 15:58:27.000000,40.0,42785.0,42785.0,,,,,,,,2.0,,,stable/horovod,,,,,,,,,,,,,,,,,,\n131,InsightFace,deepinsight/insightface,,image,https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,MIT,2017-09-01 00:36:51.000000,2021-08-18 08:34:06.000000,2021-08-18 08:34:06.000000,3291,861.0,776.0,9913.0,1760.0,State-of-the-art 2D and 3D Face Analysis Project.,25.0,29,True,2021-07-08 07:03:37.000000,0.3.8,18.0,insightface,,,,['mxnet'],90.0,88.0,https://pypi.org/project/insightface,2021-07-09 06:38:29.000000,2.0,16760.0,16760.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n132,TFlearn,tflearn/tflearn,,ml-frameworks,https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,MIT,2016-03-31 12:05:53.000000,2021-01-25 09:41:59.000000,2020-11-30 04:34:51.000000,2429,563.0,362.0,9558.0,613.0,Deep learning library featuring a higher-level API for TensorFlow.,128.0,29,True,2020-11-11 19:26:11.000000,0.5.0,8.0,tflearn,,,,['tensorflow'],4433.0,3471.0,https://pypi.org/project/tflearn,2020-11-11 19:13:47.000000,962.0,26106.0,26106.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n133,Dopamine,google/dopamine,,reinforcement-learning,https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36.000000,2021-08-13 03:15:27.000000,2021-06-29 21:35:04.000000,1265,77.0,79.0,9498.0,241.0,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,14.0,29,True,2021-06-29 21:40:57.000000,3.2.1,39.0,dopamine-rl,,,,['tensorflow'],62.0,,https://pypi.org/project/dopamine-rl,2021-06-29 21:40:57.000000,62.0,1905835.0,1905835.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n134,Lime,marcotcr/lime,,interpretability,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10.000000,2021-07-29 23:17:25.000000,2021-07-29 23:17:25.000000,1470,17.0,522.0,9031.0,531.0,Lime: Explaining the predictions of any machine learning classifier.,61.0,29,True,2020-04-03 22:05:03.000000,0.2.0.0,38.0,lime,conda-forge/lime,,,,1580.0,1452.0,https://pypi.org/project/lime,2020-06-26 21:38:15.000000,128.0,439470.0,440889.0,https://anaconda.org/conda-forge/lime,2020-06-28 01:02:41.538000,79470.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n135,TPOT,EpistasisLab/tpot,,hyperopt,https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40.000000,2021-07-01 15:13:10.000000,2021-01-06 15:17:46.000000,1404,224.0,600.0,8188.0,2368.0,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,108.0,29,False,2021-01-06 15:20:08.000000,0.11.7,60.0,tpot,conda-forge/tpot,,,['sklearn'],1184.0,1104.0,https://pypi.org/project/tpot,2021-01-06 15:20:08.000000,80.0,22090.0,24263.0,https://anaconda.org/conda-forge/tpot,2021-03-05 04:04:38.005000,128251.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n136,AutoKeras,keras-team/autokeras,,hyperopt,https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20.000000,2021-08-16 19:51:18.000000,2021-08-07 03:04:11.000000,1308,56.0,714.0,8095.0,1266.0,AutoML library for deep learning.,129.0,29,True,2021-08-16 19:51:18.000000,1.0.16,50.0,autokeras,,,,['tensorflow'],228.0,214.0,https://pypi.org/project/autokeras,2021-08-16 19:51:18.000000,14.0,13208.0,13220.0,,,,,,,,1.0,565.0,,,,,,,,,,,,,,,,,,,,\n137,dgl,dmlc/dgl,,graph,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000000,2021-08-19 09:39:49.000000,2021-08-19 08:16:08.000000,1666,268.0,909.0,7849.0,1908.0,\"Python package built to ease deep learning on graph, on top of existing DL frameworks.\",155.0,29,True,2021-07-22 02:01:12.000000,0.7.0,438.0,dgl,,,,,30.0,,https://pypi.org/project/dgl,2021-05-27 13:25:52.000000,30.0,73074.0,73074.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n138,Pyro,pyro-ppl/pyro,,probabilistics,https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000000,2021-08-17 18:26:26.000000,2021-08-17 18:26:26.000000,854,165.0,719.0,7054.0,2248.0,Deep universal probabilistic programming with Python and PyTorch.,112.0,29,True,2021-07-06 23:56:51.000000,1.7.0,27.0,pyro-ppl,,,,['pytorch'],549.0,513.0,https://pypi.org/project/pyro-ppl,2021-07-07 00:00:51.000000,36.0,62469.0,62469.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n139,Modin,modin-project/modin,,data-containers,https://github.com/modin-project/modin,https://github.com/modin-project/modin,Apache-2.0,2018-06-21 21:35:05.000000,2021-08-19 13:44:52.000000,2021-08-19 10:00:08.000000,446,583.0,1333.0,6336.0,1466.0,Modin: Speed up your Pandas workflows by changing a single line of code.,80.0,29,True,2021-07-13 01:38:08.000000,0.10.1,39.0,modin,,,,['pandas'],455.0,437.0,https://pypi.org/project/modin,2021-07-13 01:36:41.000000,18.0,121924.0,127211.0,,,,,,,,2.0,195637.0,,,,,,,,,,,,,,,,,,,,\n140,tensorpack,tensorpack/tensorpack,,ml-frameworks,https://github.com/tensorpack/tensorpack,https://github.com/tensorpack/tensorpack,Apache-2.0,2015-12-25 23:08:44.000000,2021-08-10 20:36:44.000000,2021-08-10 20:36:44.000000,1793,11.0,1327.0,6063.0,2935.0,\"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.\",57.0,29,True,2020-04-24 19:01:06.000000,0.10.1,37.0,tensorpack,,,,['tensorflow'],920.0,844.0,https://pypi.org/project/tensorpack,2021-01-22 08:44:03.000000,76.0,17716.0,17718.0,,,,,,,,2.0,124.0,,,,,,,,,,,,,,,,,,,,\n141,PyMC3,pymc-devs/pymc3,,probabilistics,https://github.com/pymc-devs/pymc3,https://github.com/pymc-devs/pymc3,Apache-2.0,2009-05-05 09:43:50.000000,2021-08-19 14:19:42.000000,2021-08-19 11:52:31.000000,1371,205.0,2138.0,5960.0,,Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara.,323.0,29,True,2021-03-14 22:31:10.000000,3.11.2,33.0,pymc3,conda-forge/pymc3,,,,3158.0,2872.0,https://pypi.org/project/pymc3,2021-03-14 22:31:10.000000,286.0,326970.0,332304.0,https://anaconda.org/conda-forge/pymc3,2021-08-13 17:52:22.850000,309268.0,,,,,1.0,171.0,,,,,,,,,,,,,,,,,,,,\n142,faust,robinhood/faust,,data-pipelines,https://github.com/robinhood/faust,https://github.com/robinhood/faust,BSD-3-Clause,2017-03-08 18:36:11.000000,2021-06-24 17:38:27.000000,2020-10-09 12:59:42.000000,482,249.0,231.0,5716.0,4137.0,Python Stream Processing.,91.0,29,True,2020-02-25 22:57:18.000000,1.10.4,46.0,faust,,,,,854.0,826.0,https://pypi.org/project/faust,2020-02-25 22:57:18.000000,28.0,478277.0,478277.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n143,yfinance,ranaroussi/yfinance,,financial-data,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000000,2021-08-16 11:20:20.000000,2021-07-10 20:55:48.000000,1319,349.0,275.0,5554.0,,Yahoo! Finance market data downloader (+faster Pandas Datareader).,41.0,29,True,2021-07-10 20:28:59.000000,0.1.63,28.0,yfinance,ranaroussi/yfinance,,,,6348.0,6322.0,https://pypi.org/project/yfinance,2021-07-10 20:28:59.000000,26.0,291503.0,297053.0,https://anaconda.org/ranaroussi/yfinance,2021-07-10 20:29:09.532000,5550.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n144,Autograd,HIPS/autograd,,others,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23.000000,2021-04-22 18:19:00.000000,2021-03-03 09:27:58.000000,754,164.0,218.0,5372.0,1376.0,Efficiently computes derivatives of numpy code.,51.0,29,True,2017-08-24 17:00:41.000000,1.1.13,24.0,autograd,conda-forge/autograd,,,,2640.0,2296.0,https://pypi.org/project/autograd,2019-07-25 16:21:07.000000,344.0,1156423.0,1159475.0,https://anaconda.org/conda-forge/autograd,2019-07-25 18:29:55.493000,183148.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n145,Datasette,simonw/datasette,,others,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000000,2021-08-16 20:06:21.000000,2021-08-16 18:56:32.000000,321,280.0,841.0,5330.0,1740.0,An open source multi-tool for exploring and publishing data.,56.0,29,True,2021-07-16 19:59:42.000000,0.58.1,103.0,datasette,,,,,546.0,476.0,https://pypi.org/project/datasette,2021-08-09 01:21:38.000000,70.0,120316.0,120316.0,,,,,,,,1.0,32.0,,,,,,,,,datasette,,,,,,,,,,,\n146,Tokenizers,huggingface/tokenizers,,nlp,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000000,2021-08-19 13:50:50.000000,2021-08-13 14:53:39.000000,368,135.0,359.0,4750.0,1476.0,Fast State-of-the-Art Tokenizers optimized for Research and Production.,46.0,29,True,2021-05-24 21:47:49.000000,0.10.3,62.0,tokenizers,conda-forge/tokenizers,,,,36.0,36.0,https://pypi.org/project/tokenizers,2021-05-24 21:47:49.000000,0.0,3904822.0,3910742.0,https://anaconda.org/conda-forge/tokenizers,2021-03-10 20:31:28.913000,76962.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n147,TinyDB,msiemens/tinydb,,data-containers,https://github.com/msiemens/tinydb,https://github.com/msiemens/tinydb,MIT,2013-07-12 23:31:13.000000,2021-08-14 16:35:26.031000,2021-08-14 14:18:19.000000,406,13.0,258.0,4497.0,632.0,TinyDB is a lightweight document oriented database optimized for your happiness :).,68.0,29,True,2021-07-17 08:35:23.000000,4.5.1,61.0,tinydb,conda-forge/tinydb,,,,1118.0,,https://pypi.org/project/tinydb,2021-07-17 08:35:20.000000,1118.0,318165.0,320297.0,https://anaconda.org/conda-forge/tinydb,2021-08-14 16:35:26.031000,132197.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n148,Kornia,kornia/kornia,,image,https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000000,2021-08-18 14:43:16.000000,2021-08-18 13:17:59.000000,437,114.0,333.0,4411.0,1714.0,Open Source Differentiable Computer Vision Library for PyTorch.,117.0,29,True,2021-08-06 18:18:51.000000,0.5.8,21.0,kornia,,,,['pytorch'],559.0,559.0,https://pypi.org/project/kornia,2021-08-06 18:18:51.000000,0.0,182791.0,182793.0,,,,,,,,2.0,91.0,,,,,,,,,,,,,,,,,,,,\n149,kaggle,Kaggle/kaggle-api,,ml-experiments,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000000,2021-07-01 04:23:38.000000,2021-03-15 15:49:05.000000,821,177.0,127.0,4251.0,145.0,Official Kaggle API.,36.0,29,True,2021-03-13 00:50:03.000000,1.5.12,48.0,kaggle,conda-forge/kaggle,,,,6866.0,6302.0,https://pypi.org/project/kaggle,2021-03-13 00:50:03.000000,564.0,207885.0,210391.0,https://anaconda.org/conda-forge/kaggle,2021-03-16 16:09:03.613000,67682.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n150,Kedro,quantumblacklabs/kedro,,data-pipelines,https://github.com/quantumblacklabs/kedro,https://github.com/quantumblacklabs/kedro,Apache-2.0,2019-04-18 10:29:56.000000,2021-08-19 14:50:40.000000,2021-08-18 14:43:43.000000,479,38.0,484.0,4247.0,1280.0,\"A Python framework for creating reproducible, maintainable and modular data science code.\",113.0,29,True,2021-06-16 09:10:32.000000,0.17.4,28.0,kedro,,,,,550.0,534.0,https://pypi.org/project/kedro,2021-06-16 09:10:32.000000,16.0,204880.0,204880.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n151,tensorflow-probability,tensorflow/probability,,probabilistics,https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000000,2021-08-19 01:43:50.000000,2021-08-19 01:43:48.000000,905,480.0,604.0,3412.0,,Probabilistic reasoning and statistical analysis in TensorFlow.,422.0,29,True,2021-06-18 21:06:22.000000,0.13.0,38.0,tensorflow-probability,conda-forge/tensorflow-probability,,,['tensorflow'],252.0,,https://pypi.org/project/tensorflow-probability,2021-06-18 17:30:03.000000,252.0,4003732.0,4005117.0,https://anaconda.org/conda-forge/tensorflow-probability,2021-06-21 12:46:28.642000,41574.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n152,Dedupe,dedupeio/dedupe,,nlp,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36.000000,2021-07-21 08:16:22.000000,2021-06-09 23:50:33.000000,433,63.0,593.0,3123.0,2823.0,\"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.\",56.0,29,True,2021-04-17 00:35:34.000000,2.0.8,159.0,dedupe,,,,,273.0,195.0,https://pypi.org/project/dedupe,2021-04-17 00:35:34.000000,78.0,119962.0,119962.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n153,mrjob,Yelp/mrjob,,data-pipelines,https://github.com/Yelp/mrjob,https://github.com/Yelp/mrjob,Apache-2.0,2010-10-13 18:35:21.000000,2021-03-31 18:37:58.000000,2020-11-16 22:20:52.000000,590,202.0,1091.0,2557.0,8622.0,Run MapReduce jobs on Hadoop or Amazon Web Services.,142.0,29,True,2020-09-17 22:26:01.000000,0.7.4,60.0,mrjob,conda-forge/mrjob,,,,923.0,811.0,https://pypi.org/project/mrjob,2020-09-17 22:26:01.000000,112.0,119674.0,126235.0,https://anaconda.org/conda-forge/mrjob,2020-12-24 22:44:29.424000,387148.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n154,GPyTorch,cornellius-gp/gpytorch,,probabilistics,https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000000,2021-08-18 18:36:22.000000,2021-08-12 16:04:16.000000,356,215.0,739.0,2475.0,3474.0,A highly efficient and modular implementation of Gaussian Processes in PyTorch.,85.0,29,True,2021-06-24 16:29:38.000000,1.5.0,29.0,gpytorch,,,,['pytorch'],369.0,361.0,https://pypi.org/project/gpytorch,2021-06-24 16:29:38.000000,8.0,80325.0,80325.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n155,Keras Tuner,keras-team/keras-tuner,,hyperopt,https://github.com/keras-team/keras-tuner,https://github.com/keras-team/keras-tuner,Apache-2.0,2019-06-06 22:38:21.000000,2021-08-17 21:25:53.000000,2021-08-17 21:25:53.000000,295,164.0,186.0,2359.0,834.0,Hyperparameter tuning for humans.,35.0,29,True,2021-06-17 21:45:06.000000,1.0.3,7.0,keras-tuner,,,,['tensorflow'],801.0,797.0,https://pypi.org/project/keras-tuner,2021-08-15 06:08:19.000000,4.0,1926148.0,1926148.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n156,hmmlearn,hmmlearn/hmmlearn,,probabilistics,https://github.com/hmmlearn/hmmlearn,https://github.com/hmmlearn/hmmlearn,BSD-3-Clause,2014-03-23 10:33:09.000000,2021-07-18 15:46:16.643000,2021-07-18 13:33:09.000000,665,55.0,302.0,2322.0,369.0,\"Hidden Markov Models in Python, with scikit-learn like API.\",34.0,29,True,2021-07-18 14:01:41.000000,0.2.6,8.0,hmmlearn,conda-forge/hmmlearn,,,['sklearn'],1254.0,1048.0,https://pypi.org/project/hmmlearn,2021-07-18 14:01:41.000000,206.0,106564.0,109444.0,https://anaconda.org/conda-forge/hmmlearn,2021-07-18 15:46:16.643000,95048.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n157,Cufflinks,santosjorge/cufflinks,,data-viz,https://github.com/santosjorge/cufflinks,https://github.com/santosjorge/cufflinks,MIT,2014-11-19 20:59:33.000000,2021-08-16 20:23:25.000000,2021-02-25 05:05:09.000000,541,81.0,123.0,2285.0,452.0,Productivity Tools for Plotly + Pandas.,38.0,29,True,2020-03-01 17:42:01.000000,0.17.3,27.0,cufflinks,,,,['pandas'],4290.0,4056.0,https://pypi.org/project/cufflinks,2020-03-01 17:42:01.000000,234.0,202758.0,202758.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n158,ImageHash,JohannesBuchner/imagehash,,image,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48.000000,2021-08-12 15:01:12.000000,2021-07-15 22:40:35.000000,272,13.0,88.0,2060.0,205.0,A Python Perceptual Image Hashing Module.,18.0,29,True,2021-07-15 12:35:01.000000,4.2.1,18.0,ImageHash,conda-forge/imagehash,,,,3693.0,3161.0,https://pypi.org/project/ImageHash,2021-07-15 12:35:01.000000,532.0,931273.0,933783.0,https://anaconda.org/conda-forge/imagehash,2021-07-15 15:00:27.543000,143115.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n159,HoloViews,holoviz/holoviews,,data-viz,https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000000,2021-08-12 19:16:10.000000,2021-08-09 12:57:05.000000,324,781.0,1876.0,1967.0,10230.0,\"With Holoviews, your data visualizes itself.\",113.0,29,True,2021-07-19 16:43:02.000000,1.14.5,72.0,holoviews,conda-forge/holoviews,,,['jupyter'],170.0,,https://pypi.org/project/holoviews,2021-07-16 20:49:11.000000,170.0,133922.0,147687.0,https://anaconda.org/conda-forge/holoviews,2021-07-19 14:01:41.535000,551627.0,,,,,2.0,,,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,2020-05-24 13:49:54.205000,,5010.0,,,,,,,,,,,,,\n160,filterpy,rlabbe/filterpy,,probabilistics,https://github.com/rlabbe/filterpy,https://github.com/rlabbe/filterpy,MIT,2014-07-15 02:15:19.000000,2021-07-25 19:21:03.000000,2021-05-04 18:33:52.000000,438,35.0,152.0,1917.0,542.0,\"Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman..\",36.0,29,True,2018-10-10 22:38:24.000000,1.4.5,48.0,filterpy,conda-forge/filterpy,,,,1200.0,988.0,https://pypi.org/project/filterpy,2018-10-10 22:38:24.000000,212.0,626048.0,627367.0,https://anaconda.org/conda-forge/filterpy,2020-05-05 21:13:59.073000,65973.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n161,Lifelines,CamDavidsonPilon/lifelines,,medical-data,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42.000000,2021-08-18 14:24:42.000000,2021-08-18 14:24:38.000000,429,204.0,605.0,1675.0,2139.0,Survival analysis in Python.,98.0,29,True,2021-05-27 00:34:08.000000,0.26.0,157.0,lifelines,conda-forge/lifelines,,,,760.0,634.0,https://pypi.org/project/lifelines,2021-05-27 00:34:08.000000,126.0,251822.0,254436.0,https://anaconda.org/conda-forge/lifelines,2021-05-27 04:55:00.431000,162113.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n162,pyLDAvis,bmabey/pyLDAvis,,interpretability,https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03.000000,2021-06-24 14:14:46.000000,2021-03-24 13:03:31.000000,312,80.0,77.0,1498.0,240.0,Python library for interactive topic model visualization. Port of the R LDAvis package.,32.0,29,True,2021-03-24 13:05:21.000000,3.3.1,24.0,pyldavis,conda-forge/pyldavis,,,['jupyter'],2684.0,2486.0,https://pypi.org/project/pyldavis,2021-03-24 12:57:08.000000,198.0,262708.0,263430.0,https://anaconda.org/conda-forge/pyldavis,2021-03-24 15:17:07.309000,27457.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n163,ipyleaflet,jupyter-widgets/ipyleaflet,,geospatial-data,https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10.000000,2021-08-13 05:56:07.000000,2021-08-06 15:22:17.000000,303,170.0,267.0,1166.0,946.0,A Jupyter - Leaflet.js bridge.,68.0,29,True,2021-07-21 12:23:32.000000,0.14.0,71.0,ipyleaflet,conda-forge/ipyleaflet,,,['jupyter'],1148.0,1048.0,https://pypi.org/project/ipyleaflet,2021-06-17 16:00:18.000000,98.0,57540.0,92735.0,https://anaconda.org/conda-forge/ipyleaflet,2021-06-17 16:32:56.948000,736090.0,,,,,3.0,,,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2021-06-17 15:58:50.351000,2.0,23512.0,,,,,,,,,,,,,\n164,PyTables,PyTables/PyTables,,data-containers,https://github.com/PyTables/PyTables,https://github.com/PyTables/PyTables,BSD-3-Clause,2011-06-03 19:44:46.000000,2021-07-19 13:56:32.000000,2021-07-19 13:56:32.000000,204,168.0,452.0,1050.0,3956.0,A Python package to manage extremely large amounts of data.,98.0,29,True,2019-10-30 19:33:37.000000,3.6.1,25.0,tables,conda-forge/pytables,,,,3754.0,,https://pypi.org/project/tables,2019-10-30 19:33:37.000000,3754.0,814778.0,864041.0,https://anaconda.org/conda-forge/pytables,2021-01-14 18:41:06.536000,2955718.0,,,,,2.0,160.0,,,,,,,,,,,,,,,,,,,,\n165,Keras-Preprocessing,keras-team/keras-preprocessing,,tensorflow-utils,https://github.com/keras-team/keras-preprocessing,https://github.com/keras-team/keras-preprocessing,MIT,2018-05-30 22:43:36.000000,2021-07-02 00:20:02.000000,2021-02-04 19:43:30.000000,420,93.0,100.0,974.0,284.0,\"Utilities for working with image data, text data, and sequence data.\",50.0,29,True,2020-05-14 03:53:47.000000,1.1.2,12.0,keras-preprocessing,conda-forge/keras-preprocessing,,,['tensorflow'],2736.0,,https://pypi.org/project/keras-preprocessing,2020-05-14 03:53:47.000000,2736.0,6443840.0,6471690.0,https://anaconda.org/conda-forge/keras-preprocessing,2021-01-15 12:28:58.923000,1058330.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n166,TensorFlow Transform,tensorflow/transform,,tensorflow-utils,https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53.000000,2021-08-18 00:19:05.000000,2021-08-17 17:04:01.000000,173,19.0,146.0,882.0,684.0,Input pipeline framework.,27.0,29,True,2021-07-29 00:24:12.000000,1.2.0,41.0,tensorflow-transform,,,,['tensorflow'],606.0,522.0,https://pypi.org/project/tensorflow-transform,2021-07-29 00:24:12.000000,84.0,9153457.0,9153457.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n167,patsy,pydata/patsy,,probabilistics,https://github.com/pydata/patsy,https://github.com/pydata/patsy,BSD-2-Clause,2012-07-10 12:30:06.000000,2021-07-30 13:55:44.000000,2018-10-31 21:55:48.000000,85,78.0,53.0,784.0,517.0,Describing statistical models in Python using symbolic formulas.,13.0,29,False,2018-10-28 05:07:55.000000,0.5.1,8.0,patsy,conda-forge/patsy,,,,44023.0,39099.0,https://pypi.org/project/patsy,2018-10-28 03:59:51.000000,4924.0,3381984.0,3438235.0,https://anaconda.org/conda-forge/patsy,2018-10-28 05:21:35.412000,3375099.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n168,NIPYPE,nipy/nipype,,medical-data,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000000,2021-08-08 20:50:25.000000,2021-07-23 19:46:50.000000,466,346.0,887.0,581.0,14196.0,Workflows and interfaces for neuroimaging packages.,219.0,29,True,2020-11-28 17:23:30.000000,1.6.0,55.0,nipype,conda-forge/nipype,,,,889.0,697.0,https://pypi.org/project/nipype,2021-06-16 13:18:05.000000,192.0,51567.0,58694.0,https://anaconda.org/conda-forge/nipype,2021-07-13 18:06:39.806000,434801.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n169,snowballstemmer,snowballstem/snowball,,nlp,https://github.com/snowballstem/snowball,https://github.com/snowballstem/snowball,BSD-3-Clause,2013-02-23 07:17:42.000000,2021-08-10 05:32:47.000000,2021-08-10 05:30:57.000000,142,19.0,43.0,512.0,855.0,Snowball compiler and stemming algorithms.,26.0,29,True,2021-01-21 11:43:00.000000,2.1.0,9.0,snowballstemmer,conda-forge/snowballstemmer,,,,13186.0,4.0,https://pypi.org/project/snowballstemmer,2021-01-21 11:43:00.000000,13182.0,5258573.0,5307447.0,https://anaconda.org/conda-forge/snowballstemmer,2021-01-21 23:16:54.597000,2932497.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n170,NiBabel,nipy/nibabel,,medical-data,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30.000000,2021-08-16 20:06:21.000000,2021-08-09 23:42:13.000000,214,112.0,303.0,431.0,5044.0,Python package to access a cacophony of neuro-imaging file formats.,93.0,29,True,2020-11-28 22:19:50.000000,3.2.1,32.0,nibabel,conda-forge/nibabel,,,,6348.0,5084.0,https://pypi.org/project/nibabel,2020-11-28 22:18:23.000000,1264.0,206031.0,211890.0,https://anaconda.org/conda-forge/nibabel,2020-11-29 03:40:05.178000,369176.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n171,Rasa,RasaHQ/rasa,,nlp,https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49.000000,2021-08-19 14:07:26.000000,2021-08-19 07:14:42.000000,3617,749.0,5023.0,12527.0,,\"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..\",498.0,28,True,2021-08-09 09:12:18.000000,2.7.2,211.0,rasa,,,,['tensorflow'],64.0,,https://pypi.org/project/rasa,2021-08-04 11:14:17.000000,64.0,184906.0,184906.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n172,NNI,microsoft/nni,,hyperopt,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44.000000,2021-08-19 13:07:31.000000,2021-08-19 13:07:31.000000,1411,209.0,1149.0,10134.0,2279.0,\"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..\",143.0,28,True,2021-08-12 00:36:12.000000,2.4,43.0,nni,,,,,154.0,138.0,https://pypi.org/project/nni,2021-08-12 00:44:33.000000,16.0,10573.0,10573.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n173,ParlAI,facebookresearch/ParlAI,,nlp,https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44.000000,2021-08-19 13:55:53.000000,2021-08-19 13:55:52.000000,1604,101.0,993.0,8205.0,3885.0,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,159.0,28,True,2021-07-23 14:14:36.000000,1.4.1,19.0,parlai,,,,['pytorch'],37.0,37.0,https://pypi.org/project/parlai,2021-07-23 14:26:08.000000,0.0,4150.0,4150.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n174,auto-sklearn,automl/auto-sklearn,,hyperopt,https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10.000000,2021-08-19 13:21:41.000000,2021-08-10 13:37:35.000000,1041,105.0,651.0,5598.0,2496.0,Automated Machine Learning with scikit-learn.,73.0,28,True,2021-07-28 07:35:52.000000,0.13.0,33.0,auto-sklearn,,,,['sklearn'],216.0,186.0,https://pypi.org/project/auto-sklearn,2021-07-28 07:33:05.000000,30.0,23985.0,23985.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n175,DeepPavlov,deepmipt/DeepPavlov,,nlp,https://github.com/deepmipt/DeepPavlov,https://github.com/deepmipt/DeepPavlov,Apache-2.0,2017-11-17 14:35:29.000000,2021-08-19 13:05:44.000000,2021-08-02 07:02:04.000000,967,126.0,465.0,5359.0,2601.0,An open source library for deep learning end-to-end dialog systems and chatbots.,66.0,28,True,2021-08-02 07:07:34.000000,0.16.0,44.0,deeppavlov,,,,['tensorflow'],220.0,212.0,https://pypi.org/project/deeppavlov,2021-08-02 07:07:34.000000,8.0,11666.0,11666.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n176,Bayesian Optimization,fmfn/BayesianOptimization,,hyperopt,https://github.com/fmfn/BayesianOptimization,https://github.com/fmfn/BayesianOptimization,MIT,2014-06-06 08:18:56.000000,2021-05-01 01:55:39.000000,2020-12-19 01:11:23.000000,1143,41.0,170.0,5325.0,199.0,A Python implementation of global optimization with gaussian processes.,27.0,28,True,2020-05-16 16:03:51.000000,1.2.0,8.0,bayesian-optimization,,,,,941.0,849.0,https://pypi.org/project/bayesian-optimization,2020-05-16 15:56:09.000000,92.0,146337.0,146338.0,,,,,,,,2.0,63.0,,,,,,,,,,,,,,,,,,,,\n177,OpenNMT,OpenNMT/OpenNMT-py,,nlp,https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000000,2021-08-13 04:50:09.000000,2021-07-28 13:45:32.000000,1869,113.0,1163.0,5166.0,2569.0,Open Source Neural Machine Translation in PyTorch.,170.0,28,True,2021-04-30 16:41:28.000000,2.1.2,31.0,OpenNMT-py,,,,['pytorch'],102.0,98.0,https://pypi.org/project/OpenNMT-py,2021-04-30 16:41:28.000000,4.0,3883.0,3883.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n178,PyOD,yzhao062/pyod,,others,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04.000000,2021-08-15 22:24:48.000000,2021-08-15 22:21:27.000000,951,116.0,99.0,4733.0,1324.0,(JMLR'19) A Python Toolbox for Scalable Outlier Detection (Anomaly Detection).,28.0,28,True,2021-08-15 22:24:48.000000,V0.9.2,70.0,pyod,,,,,793.0,787.0,https://pypi.org/project/pyod,2021-08-15 22:23:21.000000,6.0,235111.0,235111.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n179,librosa,librosa/librosa,,audio,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000000,2021-08-18 14:14:45.000000,2021-07-01 13:06:00.000000,739,49.0,845.0,4669.0,,Python library for audio and music analysis.,90.0,28,True,2021-05-26 10:15:06.000000,0.8.1,31.0,librosa,conda-forge/librosa,,,,1750.0,,https://pypi.org/project/librosa,2021-05-26 10:15:06.000000,1750.0,495339.0,501556.0,https://anaconda.org/conda-forge/librosa,2021-05-26 10:44:27.607000,379272.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n180,DEAP,deap/deap,,distributed-ml,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39.000000,2021-08-01 13:37:33.275000,2021-05-08 10:26:27.000000,913,219.0,227.0,4343.0,2149.0,Distributed Evolutionary Algorithms in Python.,68.0,28,False,2020-01-21 01:18:06.000000,1.3.1,16.0,deap,conda-forge/deap,,,,2525.0,2043.0,https://pypi.org/project/deap,2020-01-21 01:18:06.000000,482.0,116251.0,118567.0,https://anaconda.org/conda-forge/deap,2021-08-01 13:37:33.275000,143644.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n181,InterpretML,interpretml/interpret,,interpretability,https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000000,2021-08-16 17:02:27.000000,2021-08-10 22:37:33.000000,497,75.0,156.0,4014.0,1763.0,Fit interpretable models. Explain blackbox machine learning.,27.0,28,True,2021-07-20 21:49:22.000000,0.2.6,36.0,interpret,,,,['jupyter'],113.0,111.0,https://pypi.org/project/interpret,2021-07-20 21:28:01.000000,2.0,69966.0,69966.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n182,pyfolio,quantopian/pyfolio,,financial-data,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39.000000,2021-07-18 20:15:36.000000,2020-07-15 13:46:58.000000,1255,134.0,264.0,3978.0,1184.0,Portfolio and risk analytics in Python.,55.0,28,False,2019-04-15 15:00:21.000000,0.9.2,22.0,pyfolio,conda-forge/pyfolio,,,,349.0,295.0,https://pypi.org/project/pyfolio,2019-04-15 15:00:21.000000,54.0,9611.0,9778.0,https://anaconda.org/conda-forge/pyfolio,2020-05-16 14:11:57.267000,7025.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n183,imutils,jrosebr1/imutils,,image,https://github.com/jrosebr1/imutils,https://github.com/jrosebr1/imutils,MIT,2015-01-11 20:05:39.000000,2021-08-10 17:46:37.000000,2021-01-15 10:46:45.000000,911,142.0,76.0,3780.0,138.0,\"A series of convenience functions to make basic image processing operations such as translation, rotation, resizing,..\",20.0,28,True,2021-01-15 10:53:17.000000,0.5.4,29.0,imutils,conda-forge/imutils,,,,18831.0,17635.0,https://pypi.org/project/imutils,2021-01-15 10:53:17.000000,1196.0,290251.0,292609.0,https://anaconda.org/conda-forge/imutils,2021-01-15 14:27:25.471000,61317.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n184,Ignite,pytorch/ignite,,ml-frameworks,https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000000,2021-08-19 14:05:49.000000,2021-08-17 05:13:47.000000,477,127.0,764.0,3644.0,1191.0,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,148.0,28,True,2021-08-02 17:05:34.000000,0.4.6,653.0,pytorch-ignite,pytorch/ignite,,,['pytorch'],62.0,,https://pypi.org/project/pytorch-ignite,2021-08-19 00:10:08.000000,62.0,68541.0,70256.0,https://anaconda.org/pytorch/ignite,2021-08-02 17:07:03.674000,65184.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n185,huey,coleifer/huey,,data-pipelines,https://github.com/coleifer/huey,https://github.com/coleifer/huey,MIT,2011-11-03 16:39:43.000000,2021-08-13 18:05:12.000000,2021-08-13 18:05:00.000000,314,,465.0,3600.0,917.0,a little task queue for python.,65.0,28,True,2021-08-10 16:25:56.000000,2.4.0,60.0,huey,conda-forge/huey,,,,1068.0,782.0,https://pypi.org/project/huey,2021-08-10 16:24:43.000000,286.0,44539.0,45062.0,https://anaconda.org/conda-forge/huey,2019-10-16 15:34:27.487000,20945.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n186,sacred,IDSIA/sacred,,ml-experiments,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29.000000,2021-07-20 13:59:38.000000,2021-07-20 13:59:38.000000,317,92.0,423.0,3558.0,1311.0,\"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.\",93.0,28,True,2020-12-14 15:21:05.000000,0.8.2,27.0,sacred,,,,,1166.0,1012.0,https://pypi.org/project/sacred,2020-12-14 15:21:05.000000,154.0,24103.0,24103.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n187,Gradio,gradio-app/gradio,,others,https://github.com/gradio-app/gradio,https://github.com/gradio-app/gradio,Apache-2.0,2018-12-19 08:24:04.000000,2021-08-18 22:45:04.000000,2021-08-18 22:44:56.000000,205,16.0,140.0,3296.0,1177.0,\"Wrap UIs around any model, share with anyone.\",26.0,28,True,2021-08-18 22:44:53.000000,2.2.13,128.0,gradio,,,,,254.0,252.0,https://pypi.org/project/gradio,2021-08-18 22:44:53.000000,2.0,12451.0,12451.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n188,dyNET,clab/dynet,,ml-frameworks,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21.000000,2021-06-08 19:03:01.000000,2021-01-27 15:43:03.000000,703,259.0,661.0,3240.0,3267.0,DyNet: The Dynamic Neural Network Toolkit.,156.0,28,True,2020-10-21 14:31:01.000000,2.1.2,24.0,dyNET,,,,,223.0,185.0,https://pypi.org/project/dyNET,2020-10-21 14:31:01.000000,38.0,15956.0,16016.0,,,,,,,,3.0,3511.0,,,,,,,,,,,,,,,,,,,,\n189,bqplot,bqplot/bqplot,,data-viz,https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18.000000,2021-08-19 11:12:04.000000,2021-08-18 13:37:35.000000,414,195.0,346.0,3125.0,3409.0,Plotting library for IPython/Jupyter notebooks.,54.0,28,True,2021-07-16 08:16:38.000000,0.12.30,97.0,bqplot,conda-forge/bqplot,,,['jupyter'],149.0,27.0,https://pypi.org/project/bqplot,2021-07-16 08:04:30.000000,112.0,63493.0,88574.0,https://anaconda.org/conda-forge/bqplot,2021-07-16 09:06:48.168000,734963.0,,,,,2.0,,,,bqplot,https://www.npmjs.com/package/bqplot,2021-07-16 08:02:45.624000,10.0,13415.0,,,,,,,,,,,,,\n190,ftfy,LuminosoInsight/python-ftfy,,nlp,https://github.com/LuminosoInsight/python-ftfy,https://github.com/LuminosoInsight/python-ftfy,MIT,2012-08-24 16:14:59.000000,2021-05-25 06:35:21.702000,2021-05-17 19:04:10.000000,102,13.0,106.0,3037.0,590.0,\"Fixes mojibake and other glitches in Unicode text, after the fact.\",18.0,28,True,2021-05-24 05:17:15.000000,6.0.3,45.0,ftfy,conda-forge/ftfy,,,,4466.0,3706.0,https://pypi.org/project/ftfy,2021-05-24 05:17:15.000000,760.0,927198.0,929453.0,https://anaconda.org/conda-forge/ftfy,2021-05-25 06:35:21.702000,117268.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n191,Blaze,blaze/blaze,,data-containers,https://github.com/blaze/blaze,https://github.com/blaze/blaze,BSD-3-Clause,2012-10-26 14:25:22.000000,2020-02-01 19:33:09.000000,2019-08-15 21:14:59.000000,373,262.0,500.0,2978.0,7496.0,NumPy and Pandas interface to Big Data.,64.0,28,False,2016-07-19 20:40:03.000000,0.11.0,14.0,blaze,conda-forge/blaze,,,,9449.0,7827.0,https://pypi.org/project/blaze,2016-05-06 21:19:21.000000,1622.0,10753.0,14778.0,https://anaconda.org/conda-forge/blaze,2018-07-15 22:16:17.685000,193214.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n192,torchtext,pytorch/text,,nlp,https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000000,2021-08-19 11:36:13.000000,2021-08-16 21:26:50.000000,648,316.0,329.0,2824.0,847.0,Data loaders and abstractions for text and NLP.,113.0,28,True,2021-06-15 16:03:12.000000,0.10.0,15.0,torchtext,,,,['pytorch'],682.0,,https://pypi.org/project/torchtext,2021-06-15 15:32:07.000000,682.0,119132.0,119132.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n193,plotnine,has2k1/plotnine,,data-viz,https://github.com/has2k1/plotnine,https://github.com/has2k1/plotnine,GPL-2.0,2017-04-24 19:00:44.000000,2021-08-12 06:39:53.000000,2021-05-24 08:44:04.000000,143,64.0,373.0,2766.0,1698.0,A grammar of graphics for Python.,85.0,28,False,2021-03-25 12:57:10.000000,0.8.0,11.0,plotnine,conda-forge/plotnine,,,,2538.0,2284.0,https://pypi.org/project/plotnine,2021-03-25 10:49:20.000000,254.0,284455.0,286805.0,https://anaconda.org/conda-forge/plotnine,2021-03-25 12:31:04.423000,119883.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n194,datashader,holoviz/datashader,,data-viz,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000000,2021-08-02 17:27:55.000000,2021-06-05 20:55:59.000000,328,123.0,351.0,2577.0,1295.0,Quickly and accurately render even the largest data.,43.0,28,True,2021-06-09 23:30:20.000000,0.13.0,24.0,datashader,conda-forge/datashader,,,,850.0,780.0,https://pypi.org/project/datashader,2021-06-09 22:59:52.000000,70.0,38333.0,43013.0,https://anaconda.org/conda-forge/datashader,2021-06-10 09:04:19.929000,210636.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n195,Captum,pytorch/captum,,interpretability,https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000000,2021-08-18 23:42:03.000000,2021-08-18 23:42:00.000000,266,61.0,200.0,2543.0,843.0,Model interpretability and understanding for PyTorch.,74.0,28,True,2021-07-07 05:16:49.000000,0.4.0,6.0,captum,,,,['pytorch'],240.0,240.0,https://pypi.org/project/captum,2021-07-07 04:40:26.000000,0.0,88894.0,88894.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n196,gpustat,wookayin/gpustat,,gpu-utilities,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43.000000,2021-08-05 11:07:01.000000,2021-08-05 10:51:21.000000,205,22.0,54.0,2529.0,169.0,A simple command-line utility for querying and monitoring GPU status.,12.0,28,True,2019-07-22 06:37:00.000000,0.6.0,11.0,gpustat,conda-forge/gpustat,,,,1180.0,1122.0,https://pypi.org/project/gpustat,2021-01-02 05:59:41.000000,58.0,548958.0,551286.0,https://anaconda.org/conda-forge/gpustat,2020-11-24 19:59:04.772000,67528.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n197,NMSLIB,nmslib/nmslib,,nn-search,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06.000000,2021-07-28 14:36:48.000000,2021-07-14 14:01:41.000000,359,54.0,330.0,2513.0,1507.0,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,45.0,28,True,2021-02-03 16:40:09.000000,2.1.1,32.0,nmslib,conda-forge/nmslib,,,,506.0,454.0,https://pypi.org/project/nmslib,2021-02-03 00:02:08.000000,52.0,98893.0,101313.0,https://anaconda.org/conda-forge/nmslib,2021-01-08 16:19:07.762000,38730.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n198,TF-Agents,tensorflow/agents,,reinforcement-learning,https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000000,2021-08-18 21:13:10.000000,2021-08-18 19:29:13.000000,549,119.0,372.0,1998.0,1864.0,\"TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.\",100.0,28,True,2021-08-12 17:16:54.000000,0.9.0,24.0,tf-agents,,,,['tensorflow'],556.0,544.0,https://pypi.org/project/tf-agents,2021-08-12 17:16:54.000000,12.0,18448.0,18448.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n199,tesserocr,sirfz/tesserocr,,ocr,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36.000000,2021-07-21 23:24:42.000000,2021-06-19 22:44:28.000000,202,63.0,150.0,1497.0,167.0,A Python wrapper for the tesseract-ocr API.,26.0,28,True,2021-06-19 21:10:18.000000,2.5.2,16.0,tesserocr,conda-forge/tesserocr,,,,642.0,542.0,https://pypi.org/project/tesserocr,2021-06-19 21:10:18.000000,100.0,65995.0,68512.0,https://anaconda.org/conda-forge/tesserocr,2021-01-13 16:38:14.456000,55390.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n200,mleap,combust/mleap,,data-pipelines,https://github.com/combust/mleap,https://github.com/combust/mleap,Apache-2.0,2016-08-23 03:51:03.000000,2021-08-03 14:51:51.000000,2021-08-02 19:38:30.000000,278,86.0,343.0,1279.0,859.0,MLeap: Deploy ML Pipelines to Production.,69.0,28,True,2021-05-07 20:42:11.000000,0.17.0,6.0,mleap,conda-forge/mleap,,,,188.0,156.0,https://pypi.org/project/mleap,2021-05-07 20:42:11.000000,32.0,474919.0,476247.0,https://anaconda.org/conda-forge/mleap,2021-05-10 09:48:39.778000,37205.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n201,TF Model Optimization,tensorflow/model-optimization,,tensorflow-utils,https://github.com/tensorflow/model-optimization,https://github.com/tensorflow/model-optimization,Apache-2.0,2018-10-31 20:34:28.000000,2021-08-18 16:16:10.000000,2021-08-18 16:16:05.000000,247,85.0,130.0,1094.0,644.0,\"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.\",58.0,28,True,2021-06-18 06:40:44.000000,0.6.0,23.0,tensorflow-model-optimization,,,,['tensorflow'],1075.0,1069.0,https://pypi.org/project/tensorflow-model-optimization,2021-06-18 06:24:07.000000,6.0,155434.0,155434.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n202,Mesh,tensorflow/mesh,,distributed-ml,https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34.000000,2021-08-19 04:00:08.000000,2021-08-18 18:21:26.000000,178,79.0,13.0,1086.0,633.0,Mesh TensorFlow: Model Parallelism Made Easier.,42.0,28,True,2021-03-24 19:03:46.000000,0.1.19,25.0,mesh-tensorflow,,,,['tensorflow'],614.0,558.0,https://pypi.org/project/mesh-tensorflow,2021-03-24 19:03:46.000000,56.0,1393587.0,1393587.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n203,pmdarima,alkaline-ml/pmdarima,,time-series-data,https://github.com/alkaline-ml/pmdarima,https://github.com/alkaline-ml/pmdarima,MIT,2017-03-30 14:58:30.000000,2021-08-03 16:06:45.000000,2021-07-24 17:10:53.000000,174,22.0,225.0,952.0,1032.0,\"A statistical library designed to fill the void in Python's time series analysis capabilities, including the..\",19.0,28,True,2021-04-19 22:17:02.000000,1.8.2,34.0,pmdarima,,,,,1276.0,1264.0,https://pypi.org/project/pmdarima,2021-04-19 22:17:02.000000,12.0,868905.0,868905.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n204,igraph,igraph/python-igraph,,graph,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16.000000,2021-08-19 07:31:47.000000,2021-08-09 11:46:41.000000,196,28.0,298.0,854.0,1753.0,Python interface for igraph.,53.0,28,False,2021-06-12 08:08:59.000000,0.9.6,23.0,python-igraph,conda-forge/igraph,,,,2265.0,1841.0,https://pypi.org/project/python-igraph,2021-06-12 08:23:34.000000,424.0,116985.0,125194.0,https://anaconda.org/conda-forge/igraph,2021-06-16 15:20:14.330000,242642.0,,,,,1.0,212739.0,,,,,,,,,,,,,,,,,,,,\n205,TensorFlow Text,tensorflow/text,,nlp,https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000000,2021-08-18 23:57:48.000000,2021-08-17 18:24:11.000000,117,65.0,103.0,791.0,483.0,Making text a first-class citizen in TensorFlow.,52.0,28,True,2021-08-18 20:58:42.000000,2.6.0,36.0,tensorflow-text,,,,['tensorflow'],905.0,901.0,https://pypi.org/project/tensorflow-text,2021-08-17 18:06:30.000000,4.0,2127826.0,2127826.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n206,zarr,zarr-developers/zarr-python,,data-containers,https://github.com/zarr-developers/zarr-python,https://github.com/zarr-developers/zarr-python,MIT,2015-12-15 14:49:40.000000,2021-08-19 13:55:40.000000,2021-08-17 07:27:34.000000,120,199.0,244.0,744.0,1444.0,\"An implementation of chunked, compressed, N-dimensional arrays for Python.\",45.0,28,True,2021-07-12 09:01:27.000000,2.8.3,37.0,zarr,conda-forge/zarr,,,,887.0,815.0,https://pypi.org/project/zarr,2021-05-20 14:34:13.000000,72.0,47438.0,61407.0,https://anaconda.org/conda-forge/zarr,2021-05-21 03:10:15.230000,880086.0,,,,,2.0,,2.0,,,,,,,,,,,,,,,,,,,\n207,geojson,jazzband/geojson,,geospatial-data,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48.000000,2021-08-10 19:44:32.000000,2021-08-08 04:35:17.000000,84,23.0,53.0,643.0,449.0,Python bindings and utilities for GeoJSON.,44.0,28,True,2019-08-09 20:32:15.000000,2.5.0,28.0,geojson,conda-forge/geojson,,,,9238.0,7404.0,https://pypi.org/project/geojson,2019-08-09 20:32:15.000000,1834.0,734604.0,741231.0,https://anaconda.org/conda-forge/geojson,2019-08-11 12:10:34.426000,430794.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n208,data-validation,tensorflow/data-validation,,data-viz,https://github.com/tensorflow/data-validation,https://github.com/tensorflow/data-validation,Apache-2.0,2018-07-02 15:47:02.000000,2021-08-17 23:46:44.000000,2021-08-12 18:11:50.000000,102,37.0,95.0,567.0,649.0,Library for exploring and validating machine learning data.,21.0,28,True,2021-07-28 23:29:27.000000,1.2.0,32.0,tensorflow-data-validation,,,,\"['tensorflow', 'jupyter']\",337.0,319.0,https://pypi.org/project/tensorflow-data-validation,2021-07-28 23:29:27.000000,18.0,7920819.0,7920826.0,,,,,,,,2.0,275.0,,,,,,,,,,,,,,,,,,,,\n209,DIPY,dipy/dipy,,medical-data,https://github.com/dipy/dipy,https://github.com/dipy/dipy,BSD-3-Clause,2010-02-06 11:43:08.000000,2021-08-17 10:47:02.000000,2021-07-22 13:53:16.000000,313,156.0,622.0,453.0,11653.0,\"DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal..\",123.0,28,True,2021-03-14 14:05:15.000000,1.4.0,23.0,dipy,conda-forge/dipy,,,,513.0,419.0,https://pypi.org/project/dipy,2021-05-06 04:40:48.000000,94.0,12164.0,16142.0,https://anaconda.org/conda-forge/dipy,2021-05-06 13:36:55.402000,250672.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n210,CNTK,microsoft/CNTK,,ml-frameworks,https://github.com/microsoft/CNTK,https://github.com/microsoft/CNTK,MIT,2015-11-26 09:52:06.000000,2021-08-03 10:21:10.000000,2020-03-31 15:55:14.000000,4402,836.0,2523.0,17076.0,16116.0,\"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.\",268.0,27,False,2019-04-26 14:13:32.000000,2.7,32.0,cntk,,,,,34.0,,https://pypi.org/project/cntk,2020-12-09 22:21:57.000000,34.0,1888.0,2094.0,,,,,,,,3.0,13859.0,,,,,,,,,,,,,,,,,,,,\n211,Streamlit,streamlit/streamlit,,others,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000000,2021-08-19 09:52:40.000000,2021-08-17 13:21:06.000000,1356,561.0,1372.0,15614.0,,Streamlit The fastest way to build data apps in Python.,115.0,27,True,2021-08-05 23:18:10.000000,0.86.0,138.0,streamlit,,,,,140.0,106.0,https://pypi.org/project/streamlit,2021-08-05 23:18:10.000000,34.0,431012.0,431012.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n212,PaddleOCR,PaddlePaddle/PaddleOCR,,ocr,https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000000,2021-08-19 12:26:40.000000,2021-08-19 12:26:40.000000,2991,838.0,1864.0,14664.0,,\"Awesome multilingual OCR toolkits based on PaddlePaddle practical ultra lightweight OCR system, support 80+ languages..\",66.0,27,True,2021-05-26 11:43:06.000000,2.1.1,16.0,paddleocr,,,,['paddle'],296.0,296.0,https://pypi.org/project/paddleocr,2021-08-10 08:39:17.000000,0.0,31767.0,31767.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n213,baselines,openai/baselines,,reinforcement-learning,https://github.com/openai/baselines,https://github.com/openai/baselines,MIT,2017-05-24 01:58:13.000000,2021-06-12 21:46:56.000000,2020-01-31 13:06:18.000000,4040,455.0,429.0,11777.0,347.0,OpenAI Baselines: high-quality implementations of reinforcement learning algorithms.,114.0,27,False,2018-02-26 17:07:07.000000,0.1.5,6.0,baselines,,,,,408.0,334.0,https://pypi.org/project/baselines,2018-02-26 17:07:07.000000,74.0,1317.0,1317.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n214,Jina,jina-ai/jina,,ml-frameworks,https://github.com/jina-ai/jina,https://github.com/jina-ai/jina,Apache-2.0,2020-02-13 17:04:44.000000,2021-08-19 12:47:05.000000,2021-08-19 08:03:51.000000,1060,80.0,906.0,8066.0,6049.0,Cloud-native neural search framework for kind of data.,112.0,27,True,2021-08-18 11:55:06.000000,2.0.19,1068.0,jina,,jinaai/jina,,,126.0,126.0,https://pypi.org/project/jina,2021-08-19 08:05:32.000000,,14772.0,59149.0,,,,https://hub.docker.com/r/jinaai/jina,2021-08-19 08:27:48.690718,4.0,798798.0,3.0,,,,,,,,,,,,,,,,,,,,,\n215,PySyft,OpenMined/PySyft,,privacy-ml,https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,Apache-2.0,2017-07-18 20:41:16.000000,2021-08-19 13:41:52.000000,2021-08-19 05:01:38.000000,1685,268.0,2752.0,7492.0,9339.0,A library for answering questions using data you cannot see.,412.0,27,True,2021-06-28 06:55:25.000000,0.5.0,54.0,syft,,,,['pytorch'],6.0,,https://pypi.org/project/syft,2021-06-28 06:55:25.000000,6.0,2616.0,2616.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n216,imageai,OlafenwaMoses/ImageAI,,image,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33.000000,2021-06-14 09:00:26.000000,2021-05-08 20:05:36.000000,1776,231.0,419.0,6411.0,292.0,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,15.0,27,True,2021-01-05 01:26:01.000000,2.1.6,10.0,imageai,,,,,937.0,913.0,https://pypi.org/project/imageai,2021-01-05 01:26:01.000000,24.0,8555.0,24128.0,,,,,,,,2.0,622927.0,,,,,,,,,,,,,,,,,,,,\n217,carla,carla-simulator/carla,,others,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000000,2021-08-18 02:48:28.000000,2021-08-02 16:06:44.000000,1879,377.0,2975.0,6351.0,5331.0,Open-source simulator for autonomous driving research.,130.0,27,True,2021-08-03 14:09:24.000000,0.9.12,23.0,carla,,,,,86.0,82.0,https://pypi.org/project/carla,2021-08-02 23:54:33.000000,4.0,1561.0,1561.0,,,,,,,,2.0,,2.0,,,,,,,,,,,,,,,,,,,\n218,EfficientNet-PyTorch,lukemelas/EfficientNet-PyTorch,,pytorch-utils,https://github.com/lukemelas/EfficientNet-PyTorch,https://github.com/lukemelas/EfficientNet-PyTorch,Apache-2.0,2019-05-30 05:24:11.000000,2021-07-21 18:37:43.000000,2021-04-15 15:16:36.000000,1226,122.0,133.0,6339.0,162.0,A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!).,24.0,27,True,2021-04-15 15:17:23.000000,0.7.1,13.0,efficientnet-pytorch,,,,['pytorch'],14.0,,https://pypi.org/project/efficientnet-pytorch,2021-04-15 15:17:23.000000,14.0,67384.0,109500.0,,,,,,,,1.0,715987.0,,,,,,,,,,,,,,,,,,,,\n219,tsfresh,blue-yonder/tsfresh,,time-series-data,https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17.000000,2021-07-09 20:36:12.000000,2021-07-09 20:29:39.000000,897,38.0,428.0,5852.0,398.0,Automatic extraction of relevant features from time series:.,79.0,27,True,2021-03-06 08:49:53.000000,0.18.0,26.0,tsfresh,conda-forge/tsfresh,,,['sklearn'],66.0,,https://pypi.org/project/tsfresh,2020-09-09 21:08:22.000000,66.0,260435.0,261326.0,https://anaconda.org/conda-forge/tsfresh,2021-03-07 06:57:04.012000,40107.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n220,featuretools,alteryx/featuretools,,hyperopt,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17.000000,2021-08-19 14:28:27.000000,2021-08-17 23:34:25.000000,745,131.0,504.0,5682.0,,An open source python library for automated feature engineering.,53.0,27,True,2021-08-17 23:39:01.000000,0.26.2,83.0,featuretools,conda-forge/featuretools,,,,885.0,815.0,https://pypi.org/project/featuretools,2021-08-17 23:40:01.000000,70.0,290669.0,292595.0,https://anaconda.org/conda-forge/featuretools,2021-08-18 14:42:17.715000,61635.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n221,CleverHans,cleverhans-lab/cleverhans,,adversarial,https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04.000000,2021-07-24 08:53:21.000000,2021-07-24 08:40:44.000000,1304,25.0,419.0,5219.0,3196.0,\"An adversarial example library for constructing attacks, building defenses, and benchmarking both.\",126.0,27,True,2021-07-24 08:53:21.000000,4.0.0,8.0,cleverhans,,,,['tensorflow'],261.0,245.0,https://pypi.org/project/cleverhans,2021-07-24 08:53:21.000000,16.0,913.0,913.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n222,scikit-surprise,NicolasHug/Surprise,,recommender-systems,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38.000000,2020-10-13 01:22:58.850000,2020-08-05 17:45:59.000000,870,51.0,291.0,4987.0,622.0,A Python scikit for building and analyzing recommender systems.,38.0,27,True,2020-07-19 14:50:48.000000,1.1.1,9.0,scikit-surprise,conda-forge/scikit-surprise,,,,1285.0,1237.0,https://pypi.org/project/scikit-surprise,2020-07-19 14:50:48.000000,48.0,63059.0,67465.0,https://anaconda.org/conda-forge/scikit-surprise,2020-10-13 01:22:58.850000,189482.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n223,skorch,skorch-dev/skorch,,ml-frameworks,https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000000,2021-08-15 21:58:27.000000,2021-07-29 13:18:05.000000,283,45.0,352.0,4085.0,964.0,A scikit-learn compatible neural network library that wraps PyTorch.,43.0,27,True,2021-03-23 15:34:51.000000,0.10.0,13.0,skorch,conda-forge/skorch,,,\"['pytorch', 'sklearn']\",399.0,373.0,https://pypi.org/project/skorch,2021-03-23 15:32:29.000000,26.0,14612.0,24317.0,https://anaconda.org/conda-forge/skorch,2021-03-24 00:24:03.810000,339701.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n224,pyAudioAnalysis,tyiannak/pyAudioAnalysis,,audio,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13.000000,2021-08-05 21:03:21.000000,2021-08-05 21:03:21.000000,1017,175.0,109.0,4077.0,692.0,\"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.\",25.0,27,True,2021-05-13 14:14:02.000000,0.3.7,16.0,pyAudioAnalysis,,,,,251.0,229.0,https://pypi.org/project/pyAudioAnalysis,2021-05-13 14:14:02.000000,22.0,12068.0,12068.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n225,espnet,espnet/espnet,,audio,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000000,2021-08-19 13:19:05.000000,2021-08-19 05:37:45.000000,1266,222.0,1225.0,4069.0,12019.0,End-to-End Speech Processing Toolkit.,176.0,27,True,2021-08-12 13:08:13.000000,.0.10.1,37.0,espnet,,,,,16.0,16.0,https://pypi.org/project/espnet,2021-08-12 13:08:45.000000,0.0,3934.0,3935.0,,,,,,,,2.0,73.0,,,,,,,,,,,,,,,,,,,,\n226,Perspective,finos/perspective,,data-viz,https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000000,2021-08-18 18:52:08.000000,2021-08-16 23:47:03.000000,386,75.0,366.0,3510.0,4606.0,Streaming pivot visualization via WebAssembly.,64.0,27,True,2021-07-08 06:14:18.000000,0.10.0,48.0,perspective-python,,,,['jupyter'],212.0,204.0,https://pypi.org/project/perspective-python,2021-07-08 06:14:18.000000,8.0,2085.0,4524.0,,,,,,,,2.0,,,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2021-08-12 06:12:31.068000,,2439.0,,,,,,,,,,,,,\n227,DeepChem,deepchem/deepchem,,others,https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000000,2021-08-19 14:27:35.000000,2021-08-12 01:22:50.000000,1031,415.0,909.0,3104.0,7034.0,\"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.\",169.0,27,True,2021-03-18 03:10:52.000000,2.5.0,315.0,deepchem,,,,['tensorflow'],53.0,49.0,https://pypi.org/project/deepchem,2021-08-12 03:52:34.000000,4.0,5610.0,5610.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n228,BentoML,bentoml/BentoML,,model-serialisation,https://github.com/bentoml/BentoML,https://github.com/bentoml/BentoML,Apache-2.0,2019-04-02 01:39:27.000000,2021-08-18 11:07:23.000000,2021-08-13 16:34:01.000000,317,74.0,397.0,2730.0,1152.0,Model Serving Made Easy.,85.0,27,True,2021-07-13 10:52:52.000000,0.13.1,70.0,bentoml,,,,,111.0,103.0,https://pypi.org/project/bentoml,2021-07-13 07:00:28.000000,8.0,11281.0,11312.0,,,,,,,,1.0,881.0,,,,,,,,,,,,,,,,,,,,\n229,pomegranate,jmschrei/pomegranate,,probabilistics,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000000,2021-08-03 08:04:16.000000,2021-07-26 18:40:59.000000,495,59.0,571.0,2722.0,900.0,\"Fast, flexible and easy to use probabilistic modelling in Python.\",63.0,27,True,2021-03-29 16:51:20.000000,0.14.4,65.0,pomegranate,conda-forge/pomegranate,,,,562.0,506.0,https://pypi.org/project/pomegranate,2021-03-29 16:51:20.000000,56.0,52755.0,55481.0,https://anaconda.org/conda-forge/pomegranate,2020-11-01 16:22:04.857000,68151.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n230,Catalyst,catalyst-team/catalyst,,ml-experiments,https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13.000000,2021-08-19 14:54:25.000000,2021-08-19 04:28:59.000000,335,16.0,308.0,2685.0,1583.0,Accelerated deep learning R&D.,96.0,27,True,2021-07-29 06:01:51.000000,21.07,97.0,catalyst,,,,['pytorch'],433.0,395.0,https://pypi.org/project/catalyst,2021-07-29 05:58:06.000000,38.0,11392.0,11392.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n231,ClearML,allegroai/clearml,,ml-experiments,https://github.com/allegroai/clearml,https://github.com/allegroai/clearml,Apache-2.0,2019-06-10 08:18:32.000000,2021-08-18 07:57:38.000000,2021-08-18 07:57:38.000000,375,122.0,244.0,2637.0,1276.0,\"ClearML - Auto-Magical Suite of tools to streamline your ML workflow. Experiment Manager, ML-Ops and Data-Management.\",34.0,27,True,2021-08-05 21:15:04.000000,1.0.5,46.0,clearml,,allegroai/trains,,,65.0,65.0,https://pypi.org/project/clearml,2021-08-05 21:14:24.000000,0.0,47394.0,48564.0,,,,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,30068.0,2.0,368.0,,,,,,,,,,,,,,,,,,,,\n232,Sumy,miso-belica/sumy,,nlp,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48.000000,2021-07-12 09:31:49.000000,2021-06-17 15:47:06.000000,456,13.0,78.0,2628.0,398.0,Module for automatic summarization of text documents and HTML pages.,21.0,27,True,2019-05-19 14:39:21.000000,0.8.1,13.0,sumy,,,,,1060.0,868.0,https://pypi.org/project/sumy,2019-05-19 14:38:29.000000,192.0,20344.0,20344.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n233,sklearn-pandas,scikit-learn-contrib/sklearn-pandas,,data-containers,https://github.com/scikit-learn-contrib/sklearn-pandas,https://github.com/scikit-learn-contrib/sklearn-pandas,Zlib,2013-04-22 22:55:20.000000,2021-05-08 08:31:08.000000,2021-05-08 08:05:59.000000,393,25.0,125.0,2472.0,287.0,Pandas integration with sklearn.,37.0,27,False,2021-05-08 08:32:08.000000,2.1.0,27.0,sklearn-pandas,,,,\"['sklearn', 'pandas']\",2920.0,2698.0,https://pypi.org/project/sklearn-pandas,2021-05-08 08:14:28.000000,222.0,201599.0,201599.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n234,eli5,TeamHG-Memex/eli5,,interpretability,https://github.com/TeamHG-Memex/eli5,https://github.com/TeamHG-Memex/eli5,MIT,2016-09-15 01:04:57.000000,2021-06-10 22:02:56.000000,2020-01-22 07:39:36.000000,302,145.0,110.0,2424.0,1198.0,A library for debugging/inspecting machine learning classifiers and explaining their predictions.,14.0,27,False,2021-01-23 14:25:24.000000,0.11.0,28.0,eli5,conda-forge/eli5,,,,110.0,,https://pypi.org/project/eli5,2021-01-23 14:25:24.000000,110.0,610170.0,612150.0,https://anaconda.org/conda-forge/eli5,2021-01-25 08:24:59.385000,101030.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n235,pygal,Kozea/pygal,,graph,https://github.com/Kozea/pygal,https://github.com/Kozea/pygal,LGPL-3.0,2011-09-23 10:17:50.000000,2021-08-18 06:57:48.000000,2021-08-18 06:57:48.000000,384,164.0,242.0,2381.0,1015.0,PYthon svg GrAph plotting Library.,71.0,27,False,2017-07-05 09:22:41.000000,2.4.0,74.0,pygal,conda-forge/pygal,,,,1152.0,,https://pypi.org/project/pygal,2020-10-14 13:06:35.000000,1152.0,113798.0,114096.0,https://anaconda.org/conda-forge/pygal,2019-06-04 02:55:56.728000,7762.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n236,ta,bukosabino/ta,,financial-data,https://github.com/bukosabino/ta,https://github.com/bukosabino/ta,MIT,2018-01-02 18:08:48.000000,2021-07-31 02:47:33.000000,2020-11-29 21:08:14.000000,577,100.0,87.0,2352.0,582.0,Technical Analysis Library using Pandas and Numpy.,23.0,27,True,2020-11-29 10:49:09.000000,0.7.0,49.0,ta,,,,,712.0,700.0,https://pypi.org/project/ta,2020-11-29 10:49:09.000000,12.0,63918.0,63918.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n237,spark-nlp,JohnSnowLabs/spark-nlp,,nlp,https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000000,2021-08-19 14:44:33.000000,2021-08-17 18:55:58.000000,475,80.0,462.0,2287.0,11762.0,State of the Art Natural Language Processing.,93.0,27,True,2021-08-11 20:23:01.000000,3.2.1,90.0,spark-nlp,,,,['spark'],0.0,,https://pypi.org/project/spark-nlp,2021-08-11 19:49:01.000000,0.0,936290.0,936290.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n238,Flax,google/flax,,ml-frameworks,https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000000,2021-08-17 01:57:31.000000,2021-08-17 01:57:26.000000,239,168.0,229.0,2069.0,,Flax is a neural network library for JAX that is designed for flexibility.,107.0,27,True,2021-05-18 11:27:56.000000,0.3.4,13.0,flax,,,,['jax'],357.0,351.0,https://pypi.org/project/flax,2021-05-18 11:27:56.000000,6.0,1394588.0,1394589.0,,,,,,,,3.0,25.0,,,,,,,,,,,,,,,,,,,,\n239,hdbscan,scikit-learn-contrib/hdbscan,,others,https://github.com/scikit-learn-contrib/hdbscan,https://github.com/scikit-learn-contrib/hdbscan,BSD-3-Clause,2015-04-22 13:32:37.000000,2021-04-07 15:55:02.000000,2021-04-07 15:55:02.000000,339,235.0,147.0,1952.0,884.0,A high performance implementation of HDBSCAN clustering.,69.0,27,True,2021-02-03 20:21:02.000000,0.8.27,43.0,hdbscan,conda-forge/hdbscan,,,['sklearn'],1081.0,957.0,https://pypi.org/project/hdbscan,2021-02-03 20:21:02.000000,124.0,310156.0,323177.0,https://anaconda.org/conda-forge/hdbscan,2021-02-14 03:07:15.749000,794282.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n240,MNE,mne-tools/mne-python,,medical-data,https://github.com/mne-tools/mne-python,https://github.com/mne-tools/mne-python,BSD-3-Clause,2011-01-28 03:31:13.000000,2021-08-19 14:42:31.000000,2021-08-19 13:13:08.000000,915,332.0,3395.0,1649.0,,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,265.0,27,True,2021-04-27 19:00:31.000000,0.23.0,52.0,mne,conda-forge/mne,,,,1270.0,1072.0,https://pypi.org/project/mne,2021-04-27 19:00:31.000000,198.0,42399.0,45317.0,https://anaconda.org/conda-forge/mne,2021-04-27 21:31:05.562000,157587.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n241,Pythran,serge-sans-paille/pythran,,others,https://github.com/serge-sans-paille/pythran,https://github.com/serge-sans-paille/pythran,BSD-3-Clause,2012-05-29 08:02:14.000000,2021-08-18 21:50:22.000000,2021-08-18 21:50:22.000000,153,112.0,601.0,1592.0,3437.0,Ahead of Time compiler for numeric kernels.,60.0,27,True,2021-07-13 20:41:53.000000,0.9.12,50.0,pythran,conda-forge/pythran,,,,86.0,60.0,https://pypi.org/project/pythran,2021-07-14 12:11:19.000000,26.0,51105.0,55873.0,https://anaconda.org/conda-forge/pythran,2021-07-22 09:00:34.986000,185982.0,,,,,2.0,,,,,,,,,,,,,,,pythran,python-pythran,,,,,\n242,TFX,tensorflow/tfx,,data-pipelines,https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000000,2021-08-19 06:43:21.000000,2021-08-18 23:48:01.000000,464,236.0,438.0,1565.0,3743.0,TFX is an end-to-end platform for deploying production ML pipelines.,119.0,27,True,2021-08-17 15:45:43.000000,1.2.0,57.0,tfx,,,,['tensorflow'],4.0,,https://pypi.org/project/tfx,2021-08-17 17:16:04.000000,4.0,1737175.0,1737175.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n243,jellyfish,jamesturk/jellyfish,,nlp,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,BSD-2-Clause,2010-07-09 20:41:11.000000,2021-08-17 18:51:33.000000,2021-08-17 18:44:17.000000,138,10.0,92.0,1503.0,,a python library for doing approximate and phonetic matching of strings.,23.0,27,True,2021-08-17 18:51:33.000000,0.8.8,30.0,jellyfish,conda-forge/jellyfish,,,,3318.0,2672.0,https://pypi.org/project/jellyfish,2021-08-17 18:51:33.000000,646.0,1290228.0,1292662.0,https://anaconda.org/conda-forge/jellyfish,2021-01-08 15:04:47.681000,143611.0,,,,,2.0,,2.0,,,,,,,,,,,,,,,,,,,\n244,GPflow,GPflow/GPflow,,probabilistics,https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000000,2021-07-29 16:48:50.000000,2021-07-06 08:24:44.000000,404,103.0,612.0,1492.0,2229.0,Gaussian processes in TensorFlow.,71.0,27,True,2021-04-29 14:49:29.000000,2.2.1,31.0,gpflow,conda-forge/gpflow,,,['tensorflow'],315.0,281.0,https://pypi.org/project/gpflow,2021-04-29 14:49:29.000000,34.0,6008.0,6251.0,https://anaconda.org/conda-forge/gpflow,2018-11-06 08:51:39.744000,9481.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n245,Model Analysis,tensorflow/model-analysis,,interpretability,https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000000,2021-08-18 00:09:59.000000,2021-08-17 00:11:40.000000,222,25.0,45.0,1082.0,1012.0,Model analysis tools for TensorFlow.,35.0,27,True,2021-07-28 20:55:20.000000,0.33.0,42.0,tensorflow-model-analysis,,,,\"['tensorflow', 'jupyter']\",20.0,,https://pypi.org/project/tensorflow-model-analysis,2021-07-28 21:11:39.000000,20.0,7393112.0,7393112.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n246,agate,wireservice/agate,,others,https://github.com/wireservice/agate,https://github.com/wireservice/agate,MIT,2014-04-25 13:59:09.000000,2021-07-16 07:46:42.405000,2021-07-15 17:22:49.000000,131,54.0,630.0,1053.0,1466.0,A Python data analysis library that is optimized for humans instead of machines.,49.0,27,True,2018-03-11 14:37:30.000000,1.6.1,25.0,agate,conda-forge/agate,,,,851.0,609.0,https://pypi.org/project/agate,2021-07-15 16:32:29.000000,242.0,736082.0,737351.0,https://anaconda.org/conda-forge/agate,2021-07-16 07:46:42.405000,68544.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n247,petl,petl-developers/petl,,data-pipelines,https://github.com/petl-developers/petl,https://github.com/petl-developers/petl,MIT,2011-08-19 09:51:03.000000,2021-06-17 10:01:39.000000,2021-06-11 01:18:26.000000,154,69.0,348.0,914.0,1145.0,Python Extract Transform and Load Tables of Data.,47.0,27,True,2021-03-27 03:06:14.000000,1.7.4,79.0,petl,conda-forge/petl,,http://petl.readthedocs.org,,610.0,496.0,https://pypi.org/project/petl,2021-03-27 03:06:14.000000,114.0,52313.0,52808.0,https://anaconda.org/conda-forge/petl,2021-04-05 21:49:41.242000,29226.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n248,cartopy,SciTools/cartopy,,data-viz,https://github.com/SciTools/cartopy,https://github.com/SciTools/cartopy,LGPL-3.0,2012-08-03 07:43:59.000000,2021-08-18 23:49:29.000000,2021-08-12 01:51:53.000000,282,297.0,675.0,901.0,2329.0,Cartopy - a cartographic python library with matplotlib support.,99.0,27,False,2021-04-23 16:45:56.000000,0.19.0.post1,22.0,cartopy,conda-forge/cartopy,,,,2167.0,1821.0,https://pypi.org/project/cartopy,2021-04-23 16:49:22.000000,346.0,61274.0,87678.0,https://anaconda.org/conda-forge/cartopy,2021-05-21 06:58:00.865000,1716312.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n249,PyVista,pyvista/pyvista,,data-viz,https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000000,2021-08-19 04:59:08.000000,2021-08-18 22:33:03.000000,171,153.0,395.0,893.0,2250.0,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,58.0,27,True,2021-06-23 21:59:31.000000,0.31.3,47.0,pyvista,conda-forge/pyvista,,,['jupyter'],444.0,418.0,https://pypi.org/project/pyvista,2021-06-23 21:59:31.000000,26.0,22498.0,26457.0,https://anaconda.org/conda-forge/pyvista,2021-06-24 01:50:57.553000,106828.0,,,,,2.0,164.0,,,,,,,,,,,,,,,,,,,,\n250,Nilearn,nilearn/nilearn,,medical-data,https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000000,2021-08-19 14:59:45.000000,2021-08-19 14:13:42.000000,437,261.0,1241.0,762.0,,Machine learning for NeuroImaging in Python.,174.0,27,True,2021-06-16 14:57:54.000000,0.8.0,37.0,nilearn,conda-forge/nilearn,,,['sklearn'],1466.0,1164.0,https://pypi.org/project/nilearn,2021-06-16 14:52:34.000000,302.0,62890.0,64666.0,https://anaconda.org/conda-forge/nilearn,2021-06-16 19:16:17.369000,111684.0,,,,,2.0,8.0,,,,,,,,,,,,,,,,,,,,\n251,Magenta,magenta/magenta,,audio,https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40.000000,2021-08-12 18:40:53.000000,2021-06-30 21:44:13.000000,3470,315.0,566.0,16890.0,,Magenta: Music and Art Generation with Machine Intelligence.,149.0,26,True,2020-11-12 19:17:18.000000,2.1.3,66.0,magenta,,,,['tensorflow'],377.0,307.0,https://pypi.org/project/magenta,2020-11-12 19:17:18.000000,70.0,4527.0,4527.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n252,MMDetection,open-mmlab/mmdetection,,image,https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000000,2021-08-19 12:08:31.000000,2021-08-18 14:29:17.000000,5616,366.0,3926.0,16087.0,1705.0,OpenMMLab Detection Toolbox and Benchmark.,247.0,26,True,2021-08-11 03:59:21.000000,2.15.1,16.0,,,,,['pytorch'],104.0,104.0,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n253,Turi Create,apple/turicreate,,ml-frameworks,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04.000000,2021-08-16 18:50:46.000000,2021-08-16 18:50:46.000000,1101,483.0,1272.0,10381.0,,Turi Create simplifies the development of custom machine learning models.,82.0,26,True,2020-09-30 22:51:40.000000,6.4.1,31.0,turicreate,,,,,293.0,259.0,https://pypi.org/project/turicreate,2020-09-30 22:51:40.000000,34.0,26092.0,26200.0,,,,,,,,3.0,4779.0,,,,,,,,,,,,,,,,,,,,\n254,Milvus,milvus-io/milvus,,nn-search,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000000,2021-08-19 12:35:02.000000,2021-08-19 07:50:12.000000,1012,313.0,2831.0,7495.0,7685.0,\"An open source vector database powered by Faiss, NMSLIB and Annoy.\",149.0,26,True,2021-06-16 06:50:46.000000,1.1.1,53.0,pymilvus,,milvusdb/milvus,,,6.0,,https://pypi.org/project/pymilvus,2021-08-11 10:58:45.000000,6.0,29236.0,48744.0,,,,https://hub.docker.com/r/milvusdb/milvus,2021-08-11 11:29:54.612216,14.0,448703.0,2.0,,,,,,,,,,,,,,,,,,,,,\n255,pysc2,deepmind/pysc2,,others,https://github.com/deepmind/pysc2,https://github.com/deepmind/pysc2,Apache-2.0,2017-07-25 18:16:57.000000,2021-08-13 05:11:09.000000,2019-09-27 15:23:22.000000,1112,60.0,203.0,7317.0,513.0,StarCraft II Learning Environment.,34.0,26,False,2019-09-27 15:48:01.000000,3.0.0,7.0,pysc2,,,,,313.0,273.0,https://pypi.org/project/pysc2,2019-09-27 15:48:01.000000,40.0,1337.0,1902.0,,,,,,,,2.0,27146.0,,,,,,,,,,,,,,,,,,,,\n256,backtrader,mementum/backtrader,,financial-data,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52.000000,2021-08-11 12:20:56.000000,2021-07-17 22:17:12.000000,2202,36.0,,7091.0,2385.0,Python Backtesting library for trading strategies.,52.0,26,False,,,155.0,backtrader,,,,,765.0,695.0,https://pypi.org/project/backtrader,2020-07-03 13:02:14.000000,70.0,38621.0,38621.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n257,TensorLayer,tensorlayer/tensorlayer,,reinforcement-learning,https://github.com/tensorlayer/tensorlayer,https://github.com/tensorlayer/tensorlayer,Apache-2.0,2016-06-07 15:55:16.000000,2021-08-19 06:16:46.000000,2021-08-10 09:19:11.000000,1487,20.0,434.0,6688.0,3348.0,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,131.0,26,True,2021-01-06 07:16:21.000000,2.2.4,82.0,tensorlayer,,,,['tensorflow'],68.0,,https://pypi.org/project/tensorlayer,2020-06-19 00:53:37.000000,68.0,3035.0,3056.0,,,,,,,,2.0,1285.0,,,,,,,,,,,,,,,,,,,,\n258,Facets Overview,pair-code/facets,,data-viz,https://github.com/PAIR-code/facets,https://github.com/PAIR-code/facets,Apache-2.0,2017-07-07 14:03:03.000000,2021-08-16 22:05:29.000000,2021-05-06 12:01:05.000000,834,76.0,76.0,6655.0,264.0,Visualizations for machine learning datasets.,28.0,26,True,2019-07-24 15:57:06.000000,1.0.0,4.0,facets-overview,,,,['jupyter'],67.0,61.0,https://pypi.org/project/facets-overview,2019-07-24 15:57:06.000000,6.0,105979.0,105979.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n259,DeepSpeed,microsoft/DeepSpeed,,distributed-ml,https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,MIT,2020-01-23 18:35:18.000000,2021-08-19 10:00:26.000000,2021-08-18 17:13:15.000000,549,290.0,299.0,5384.0,654.0,\"DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.\",61.0,26,True,2021-08-17 05:29:19.000000,0.5.0,31.0,deepspeed,,deepspeed/deepspeed,,['pytorch'],74.0,74.0,https://pypi.org/project/deepspeed,2021-08-17 05:25:44.000000,0.0,49776.0,50268.0,,,,https://hub.docker.com/r/deepspeed/deepspeed,2021-05-05 21:39:11.981563,2.0,9357.0,2.0,,,,,,,,,,,,,,,,,,,,,\n260,OCRmyPDF,jbarlow83/OCRmyPDF,,ocr,https://github.com/jbarlow83/OCRmyPDF,https://github.com/jbarlow83/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000000,2021-08-17 09:19:28.000000,2021-08-15 03:05:27.000000,465,90.0,642.0,4693.0,2998.0,\"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.\",55.0,26,True,2021-08-04 10:45:27.000000,12.3.2,178.0,ocrmypdf,,,,,12.0,,https://pypi.org/project/ocrmypdf,2021-08-04 10:45:27.000000,12.0,20359.0,20359.0,,,,,,,,2.0,,,,,,,,,,ocrmypdf,ocrmypdf,,,,,,,,,,\n261,Metaflow,Netflix/metaflow,,ml-experiments,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000000,2021-08-19 01:51:42.000000,2021-08-17 01:01:26.000000,397,174.0,172.0,4550.0,302.0,Build and manage real-life data science projects with ease.,35.0,26,True,2021-08-11 20:24:34.000000,2.3.4,28.0,metaflow,conda-forge/metaflow,,,,188.0,186.0,https://pypi.org/project/metaflow,2021-08-11 21:25:41.000000,2.0,58625.0,59707.0,https://anaconda.org/conda-forge/metaflow,2021-08-12 13:58:37.672000,21645.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n262,sktime,alan-turing-institute/sktime,,time-series-data,https://github.com/alan-turing-institute/sktime,https://github.com/alan-turing-institute/sktime,BSD-3-Clause,2018-11-06 15:08:24.000000,2021-08-19 14:57:38.000000,2021-08-18 17:44:11.000000,608,240.0,399.0,4365.0,,A unified framework for machine learning with time series.,106.0,26,True,2021-07-13 13:29:02.000000,0.7.0,16.0,sktime,,,,['sklearn'],222.0,222.0,https://pypi.org/project/sktime,2021-07-12 19:18:54.000000,0.0,112848.0,112850.0,,,,,,,,2.0,63.0,,,,,,,,,,,,,,,,,,,,\n263,AutoGluon,awslabs/autogluon,,hyperopt,https://github.com/awslabs/autogluon,https://github.com/awslabs/autogluon,Apache-2.0,2019-07-29 18:51:24.000000,2021-08-19 09:04:35.000000,2021-08-18 21:18:02.000000,466,106.0,422.0,3522.0,659.0,\"AutoGluon: AutoML for Text, Image, and Tabular Data.\",60.0,26,True,2021-08-15 02:43:16.000000,0.3.0,513.0,autogluon,,,,['mxnet'],62.0,62.0,https://pypi.org/project/autogluon,2021-08-19 09:04:35.000000,0.0,19627.0,19627.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n264,Alpha Vantage,RomelTorres/alpha_vantage,,financial-data,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00.000000,2021-06-15 14:33:06.000000,2021-06-14 05:10:42.000000,610,16.0,230.0,3457.0,497.0,A python wrapper for Alpha Vantage API for financial data.,39.0,26,True,2020-12-21 02:37:29.000000,2.3.1,28.0,alpha_vantage,,,,,202.0,,https://pypi.org/project/alpha_vantage,2018-08-26 18:55:11.000000,202.0,22464.0,22464.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n265,Activeloop,activeloopai/Hub,,data-pipelines,https://github.com/activeloopai/Hub,https://github.com/activeloopai/Hub,MPL-2.0,2019-08-09 06:17:59.000000,2021-08-19 12:43:12.000000,2021-08-18 13:56:34.000000,264,32.0,252.0,3422.0,2201.0,Fastest dataset optimization and management for machine and deep learning. Stream data real-time & version-control it...,80.0,26,True,2021-08-11 21:00:46.000000,2.0.7,110.0,hub,,,,,181.0,129.0,https://pypi.org/project/hub,2021-08-16 19:58:08.000000,52.0,3399.0,3399.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n266,Stable Baselines,hill-a/stable-baselines,,reinforcement-learning,https://github.com/hill-a/stable-baselines,https://github.com/hill-a/stable-baselines,MIT,2018-07-02 14:28:59.000000,2021-08-17 08:33:54.000000,2021-06-02 12:43:17.000000,630,128.0,787.0,3245.0,837.0,\"A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.\",111.0,26,True,2021-04-06 12:37:09.000000,2.10.2,31.0,stable-baselines,,,,,50.0,,https://pypi.org/project/stable-baselines,2021-04-06 12:37:09.000000,50.0,8879.0,8879.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n267,pytorch-summary,sksq96/pytorch-summary,,pytorch-utils,https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04.000000,2021-06-20 09:40:21.000000,2021-05-10 18:34:53.000000,365,118.0,37.0,3208.0,57.0,Model summary in PyTorch similar to `model.summary()` in Keras.,11.0,26,True,2018-09-26 05:07:28.000000,1.5.1,12.0,torchsummary,,,,['pytorch'],3244.0,3126.0,https://pypi.org/project/torchsummary,2018-09-26 05:07:28.000000,118.0,94024.0,94024.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n268,DoWhy,Microsoft/dowhy,,interpretability,https://github.com/microsoft/dowhy,https://github.com/microsoft/dowhy,MIT,2018-05-31 13:07:04.000000,2021-08-02 04:54:59.000000,2021-08-02 04:54:59.000000,462,36.0,98.0,3146.0,459.0,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,44.0,26,True,2021-03-03 03:44:46.000000,0.6,6.0,dowhy,conda-forge/dowhy,,,,57.0,57.0,https://pypi.org/project/dowhy,2021-03-03 03:45:16.000000,0.0,60805.0,61001.0,https://anaconda.org/conda-forge/dowhy,2021-04-28 19:20:04.698000,2953.0,,,,,2.0,24.0,,,,,,,,,,,,,,,,,,,,\n269,vaderSentiment,cjhutto/vaderSentiment,,nlp,https://github.com/cjhutto/vaderSentiment,https://github.com/cjhutto/vaderSentiment,MIT,2014-11-17 16:31:45.000000,2021-06-15 23:12:57.000000,2021-03-15 18:43:06.000000,794,33.0,74.0,3116.0,127.0,VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based..,10.0,26,True,2020-05-22 15:07:00.000000,3.3.2,15.0,vadersentiment,,,,,3218.0,2932.0,https://pypi.org/project/vadersentiment,2020-05-22 15:07:00.000000,286.0,134062.0,134062.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n270,nevergrad,facebookresearch/nevergrad,,hyperopt,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000000,2021-08-19 14:40:24.000000,2021-08-18 14:57:43.000000,291,98.0,137.0,3099.0,872.0,A Python toolbox for performing gradient-free optimization.,44.0,26,True,2021-01-28 12:05:40.000000,0.4.3,32.0,nevergrad,conda-forge/nevergrad,,,,222.0,208.0,https://pypi.org/project/nevergrad,2021-08-12 08:21:27.000000,14.0,33378.0,34165.0,https://anaconda.org/conda-forge/nevergrad,2021-06-14 12:44:22.518000,12595.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n271,TensorForce,tensorforce/tensorforce,,reinforcement-learning,https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22.000000,2021-07-31 17:45:56.000000,2021-07-31 17:45:53.000000,510,8.0,587.0,2995.0,2074.0,Tensorforce: a TensorFlow library for applied reinforcement learning.,79.0,26,True,2021-06-05 10:34:19.000000,0.6.4,13.0,tensorforce,,,,['tensorflow'],46.0,,https://pypi.org/project/tensorforce,2019-09-07 13:56:18.000000,46.0,1448.0,1448.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n272,VisPy,vispy/vispy,,data-viz,https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22.000000,2021-08-19 14:21:23.000000,2021-08-18 18:00:59.000000,567,348.0,899.0,2710.0,,High-performance interactive 2D/3D data visualization library.,158.0,26,True,2021-07-21 13:26:48.000000,0.7.3,20.0,vispy,conda-forge/vispy,,,['jupyter'],681.0,559.0,https://pypi.org/project/vispy,2021-07-21 12:39:50.000000,122.0,32212.0,36015.0,https://anaconda.org/conda-forge/vispy,2021-07-21 15:23:23.190000,172382.0,,,,,3.0,,,,vispy,https://www.npmjs.com/package/vispy,2020-03-15 14:39:41.516000,,56.0,,,,,,,,,,,,,\n273,implicit,benfred/implicit,,recommender-systems,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000000,2021-05-14 05:51:51.000000,2021-05-08 16:08:26.000000,490,84.0,269.0,2445.0,309.0,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,29.0,26,True,2020-09-15 22:01:38.000000,0.4.4,34.0,implicit,conda-forge/implicit,,,,497.0,453.0,https://pypi.org/project/implicit,2020-09-15 22:01:38.000000,44.0,151692.0,158358.0,https://anaconda.org/conda-forge/implicit,2020-11-24 06:44:37.378000,286645.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n274,GluonNLP,dmlc/gluon-nlp,,nlp,https://github.com/dmlc/gluon-nlp,https://github.com/dmlc/gluon-nlp,Apache-2.0,2018-04-04 20:57:13.000000,2021-05-27 17:38:36.000000,2021-05-24 15:19:12.000000,508,252.0,291.0,2317.0,838.0,\"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..\",81.0,26,True,2020-08-13 19:17:42.000000,0.10.0,26.0,gluonnlp,,,,['mxnet'],583.0,561.0,https://pypi.org/project/gluonnlp,2020-08-13 19:17:42.000000,22.0,88223.0,88223.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n275,haystack,deepset-ai/haystack,,nlp,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000000,2021-08-19 14:33:34.000000,2021-08-19 08:36:21.000000,442,112.0,676.0,2242.0,728.0,End-to-end Python framework for building natural language search interfaces to data. Leverages Transformers and the..,61.0,26,True,2021-06-21 16:50:42.000000,0.9.0,34.0,haystack,,,,,238.0,72.0,https://pypi.org/project/haystack,2017-07-03 04:44:52.000000,166.0,1897.0,1897.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n276,aubio,aubio/aubio,,audio,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44.000000,2021-07-27 23:02:36.000000,2021-01-19 09:51:49.000000,314,117.0,175.0,2179.0,4111.0,a library for audio and music analysis.,24.0,26,False,2019-02-27 09:00:43.000000,0.4.9,10.0,aubio,conda-forge/aubio,,,,279.0,243.0,https://pypi.org/project/aubio,2019-02-08 11:21:02.000000,36.0,2179.0,10734.0,https://anaconda.org/conda-forge/aubio,2021-01-19 16:59:52.641000,453426.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n277,deepface,serengil/deepface,,image,https://github.com/serengil/deepface,https://github.com/serengil/deepface,MIT,2020-02-08 20:42:28.000000,2021-08-19 14:43:09.000000,2021-08-19 14:37:01.000000,465,2.0,300.0,2164.0,617.0,\"A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python.\",15.0,26,True,2021-08-01 19:59:40.000000,0.0.67,66.0,deepface,,,,,224.0,224.0,https://pypi.org/project/deepface,2021-08-01 19:59:40.000000,0.0,13861.0,13861.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n278,scikit-plot,reiinakano/scikit-plot,,interpretability,https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59.000000,2021-08-11 23:58:11.000000,2018-08-19 12:37:47.000000,250,21.0,39.0,2125.0,130.0,An intuitive library to add plotting functionality to scikit-learn objects.,13.0,26,False,2018-08-19 12:21:01.000000,0.3.7,27.0,scikit-plot,conda-forge/scikit-plot,,,['sklearn'],1275.0,1221.0,https://pypi.org/project/scikit-plot,2018-08-19 12:18:46.000000,54.0,285657.0,287615.0,https://anaconda.org/conda-forge/scikit-plot,2019-06-05 14:23:59.043000,95961.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n279,StellarGraph,stellargraph/stellargraph,,graph,https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51.000000,2021-08-17 14:04:47.000000,2021-02-18 01:03:15.000000,303,249.0,720.0,2059.0,2515.0,StellarGraph - Machine Learning on Graphs.,32.0,26,True,2020-06-30 05:15:21.000000,1.2.1,25.0,stellargraph,,,,['tensorflow'],87.0,83.0,https://pypi.org/project/stellargraph,2020-06-30 05:10:43.000000,4.0,14247.0,14247.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n280,pytorch-optimizer,jettify/pytorch-optimizer,,pytorch-utils,https://github.com/jettify/pytorch-optimizer,https://github.com/jettify/pytorch-optimizer,Apache-2.0,2020-01-03 03:16:39.000000,2021-08-16 10:11:29.000000,2021-07-06 02:10:38.000000,191,18.0,26.0,2030.0,403.0,torch-optimizer -- collection of optimizers for Pytorch.,21.0,26,True,2021-01-01 16:51:15.000000,0.1.0,19.0,torch_optimizer,,,,['pytorch'],290.0,290.0,https://pypi.org/project/torch_optimizer,2021-01-01 16:51:15.000000,0.0,44507.0,44507.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n281,TextDistance,life4/textdistance,,nlp,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10.000000,2021-07-29 09:43:38.000000,2021-07-29 09:43:38.000000,166,9.0,,2024.0,311.0,\"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..\",11.0,26,True,2021-01-29 09:04:46.000000,.4.2.1,21.0,textdistance,conda-forge/textdistance,,,,912.0,884.0,https://pypi.org/project/textdistance,2021-01-29 09:03:27.000000,28.0,216643.0,217895.0,https://anaconda.org/conda-forge/textdistance,2021-01-29 15:41:57.288000,48766.0,,,,,2.0,124.0,,,,,,,,,,,,,,,,,,,,\n282,Foolbox,bethgelab/foolbox,,adversarial,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48.000000,2021-07-06 10:16:42.000000,2021-06-05 09:38:18.000000,358,58.0,269.0,1995.0,1648.0,\"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.\",32.0,26,True,2021-02-23 07:09:34.000000,3.3.1,68.0,foolbox,,,,,243.0,225.0,https://pypi.org/project/foolbox,2021-02-23 07:07:53.000000,18.0,1718.0,1718.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n283,PyFunctional,EntilZha/PyFunctional,,data-pipelines,https://github.com/EntilZha/PyFunctional,https://github.com/EntilZha/PyFunctional,MIT,2015-02-05 17:17:51.000000,2021-08-18 15:33:33.000000,2021-07-06 23:48:13.000000,104,3.0,118.0,1886.0,519.0,Python library for creating data pipelines with chain functional programming.,24.0,26,True,2021-01-12 19:21:07.000000,1.4.3,14.0,pyfunctional,,,,,326.0,326.0,https://pypi.org/project/pyfunctional,2021-01-12 19:14:48.000000,0.0,71940.0,71940.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n284,langid,saffsd/langid.py,,nlp,https://github.com/saffsd/langid.py,https://github.com/saffsd/langid.py,BSD-3-Clause,2011-04-29 00:16:56.000000,2020-01-01 10:49:30.000000,2017-07-15 02:49:17.000000,269,25.0,45.0,1833.0,242.0,Stand-alone language identification system.,9.0,26,False,2016-04-05 22:34:15.000000,1.1.6,8.0,langid,,,,,1017.0,767.0,https://pypi.org/project/langid,2016-04-05 22:34:15.000000,250.0,355502.0,355502.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n285,tslearn,tslearn-team/tslearn,,time-series-data,https://github.com/tslearn-team/tslearn,https://github.com/tslearn-team/tslearn,BSD-2-Clause,2017-05-04 13:08:13.000000,2021-08-17 07:16:40.000000,2021-08-17 07:16:39.000000,240,68.0,173.0,1755.0,,A machine learning toolkit dedicated to time-series data.,32.0,26,True,2021-08-16 07:09:52.000000,0.5.2,94.0,tslearn,conda-forge/tslearn,,,['sklearn'],300.0,278.0,https://pypi.org/project/tslearn,2021-08-16 07:29:50.000000,22.0,144489.0,150127.0,https://anaconda.org/conda-forge/tslearn,2021-08-16 11:07:26.939000,231164.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n286,swifter,jmcarpenter2/swifter,,data-containers,https://github.com/jmcarpenter2/swifter,https://github.com/jmcarpenter2/swifter,MIT,2018-04-07 21:37:19.000000,2021-06-26 01:03:15.021000,2021-06-25 21:30:09.000000,84,21.0,82.0,1731.0,427.0,A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner.,14.0,26,True,2021-06-25 21:31:10.000000,1.0.9,73.0,swifter,conda-forge/swifter,,,['pandas'],403.0,371.0,https://pypi.org/project/swifter,2021-06-25 21:31:10.000000,32.0,83216.0,87319.0,https://anaconda.org/conda-forge/swifter,2021-06-26 01:03:15.021000,114886.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n287,category_encoders,scikit-learn-contrib/category_encoders,,sklearn-utils,https://github.com/scikit-learn-contrib/category_encoders,https://github.com/scikit-learn-contrib/category_encoders,BSD-3-Clause,2015-11-29 19:32:37.000000,2021-06-22 21:39:16.000000,2020-07-31 10:43:44.000000,318,77.0,138.0,1713.0,671.0,A library of sklearn compatible categorical variable encoders.,37.0,26,False,2020-04-29 02:09:51.000000,2.2.2,19.0,category_encoders,conda-forge/category_encoders,,,['sklearn'],23.0,,https://pypi.org/project/category_encoders,2018-10-14 14:15:54.000000,23.0,592074.0,594000.0,https://anaconda.org/conda-forge/category_encoders,2020-04-29 22:37:35.948000,117539.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n288,HyperTools,ContextLab/hypertools,,data-viz,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25.000000,2021-07-19 16:15:16.000000,2021-07-19 16:15:16.000000,154,67.0,122.0,1660.0,1599.0,A Python toolbox for gaining geometric insights into high-dimensional data.,21.0,26,True,2021-06-15 19:22:37.000000,0.7.0,20.0,hypertools,,,,,145.0,136.0,https://pypi.org/project/hypertools,2021-06-15 19:22:37.000000,9.0,5642.0,5642.0,,,,,,,,3.0,2.0,,,,,,,,,,,,,,,,,,,,\n289,hnswlib,nmslib/hnswlib,,nn-search,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000000,2021-07-29 14:22:16.000000,2021-06-30 05:17:40.000000,296,103.0,116.0,1656.0,315.0,Header-only C++/python library for fast approximate nearest neighbors.,46.0,26,True,2021-06-30 22:24:23.000000,0.5.2,6.0,hnswlib,,,,,144.0,142.0,https://pypi.org/project/hnswlib,2021-06-30 22:24:23.000000,2.0,42814.0,42814.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n290,dtreeviz,parrt/dtreeviz,,interpretability,https://github.com/parrt/dtreeviz,https://github.com/parrt/dtreeviz,MIT,2018-08-13 21:45:15.000000,2021-08-12 06:13:06.000000,2021-07-14 16:14:07.000000,211,20.0,82.0,1632.0,365.0,A python library for decision tree visualization and model interpretation.,16.0,26,True,2021-03-16 21:49:18.000000,1.2,23.0,dtreeviz,,,,,202.0,198.0,https://pypi.org/project/dtreeviz,2021-04-05 19:35:08.000000,4.0,133487.0,133487.0,,,,,,,,2.0,,2.0,,,,,,,,,,,,,,,,,,,\n291,mtcnn,ipazc/mtcnn,,image,https://github.com/ipazc/mtcnn,https://github.com/ipazc/mtcnn,MIT,2018-01-05 04:08:32.000000,2021-07-09 12:30:42.000000,2021-07-09 11:06:18.000000,423,62.0,37.0,1594.0,56.0,\"MTCNN face detection implementation for TensorFlow, as a PIP package.\",15.0,26,True,2021-07-09 11:16:39.000000,0.1.1,11.0,mtcnn,,,,['tensorflow'],1456.0,1414.0,https://pypi.org/project/mtcnn,2021-07-09 11:16:39.000000,42.0,21409.0,21409.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n292,Ax,facebook/Ax,,hyperopt,https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000000,2021-08-19 14:28:38.000000,2021-08-19 03:19:09.000000,167,37.0,253.0,1584.0,,Adaptive Experimentation Platform.,100.0,26,True,2021-08-11 00:08:25.000000,0.2.1,23.0,ax-platform,,,,['pytorch'],198.0,194.0,https://pypi.org/project/ax-platform,2021-08-11 00:08:25.000000,4.0,62625.0,62625.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n293,TextAttack,QData/TextAttack,,adversarial,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000000,2021-08-13 14:52:54.000000,2021-08-03 02:29:30.000000,195,44.0,100.0,1582.0,2168.0,\"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP..\",40.0,26,True,2021-08-03 02:33:46.000000,0.3.3,41.0,textattack,,,,,28.0,28.0,https://pypi.org/project/textattack,2021-08-03 02:33:46.000000,0.0,8358.0,8358.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n294,datasketch,ekzhu/datasketch,,data-containers,https://github.com/ekzhu/datasketch,https://github.com/ekzhu/datasketch,MIT,2015-03-20 01:21:46.000000,2021-06-02 06:52:35.000000,2021-06-02 06:48:06.000000,216,23.0,95.0,1562.0,195.0,\"MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble.\",18.0,26,True,2020-12-23 21:01:43.000000,1.5.3,75.0,datasketch,,,,,391.0,305.0,https://pypi.org/project/datasketch,2020-12-23 21:01:43.000000,86.0,329487.0,329487.0,,,,,,,,3.0,18.0,,,,,,,,,,,,,,,,,,,,\n295,Elephas,maxpumperla/elephas,,distributed-ml,https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19.000000,2021-08-17 01:14:43.000000,2021-08-17 01:01:38.000000,290,25.0,126.0,1494.0,501.0,Distributed Deep learning with Keras & Spark.,27.0,26,True,2021-08-17 01:14:44.000000,3.0.0,22.0,elephas,,,,\"['keras', 'spark']\",48.0,45.0,https://pypi.org/project/elephas,2021-08-17 00:36:20.000000,3.0,20421.0,20421.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n296,torchaudio,pytorch/audio,,audio,https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000000,2021-08-19 14:37:12.000000,2021-08-19 07:26:39.000000,332,155.0,394.0,1398.0,943.0,\"Data manipulation and transformation for audio signal processing, powered by PyTorch.\",136.0,26,True,2021-06-15 15:32:33.000000,0.9.0,15.0,torchaudio,,,,['pytorch'],18.0,,https://pypi.org/project/torchaudio,2021-06-15 15:29:03.000000,18.0,263991.0,263991.0,,,,,,,,2.0,,-4.0,,,,,,,,,,,,,,,,,,,\n297,petastorm,uber/petastorm,,distributed-ml,https://github.com/uber/petastorm,https://github.com/uber/petastorm,Apache-2.0,2018-06-15 23:15:29.000000,2021-08-19 05:12:19.000000,2021-08-19 05:12:18.000000,202,138.0,128.0,1204.0,659.0,Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets..,40.0,26,True,2021-08-03 05:30:19.000000,0.11.2,73.0,petastorm,,,,,38.0,38.0,https://pypi.org/project/petastorm,2021-08-03 05:31:05.000000,0.0,148444.0,148452.0,,,,,,,,2.0,308.0,,,,,,,,,,,,,,,,,,,,\n298,snakemake,snakemake/snakemake,,ml-experiments,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867000,2021-08-19 10:17:15.000000,2021-08-17 15:02:17.000000,242,448.0,262.0,1054.0,,\"This is the development home of the workflow management system Snakemake. For general information, see.\",211.0,26,True,2021-08-12 10:23:29.000000,6.7.0,183.0,snakemake,bioconda/snakemake,,,,1177.0,889.0,https://pypi.org/project/snakemake,2021-08-12 10:23:44.000000,288.0,16866.0,21503.0,https://anaconda.org/bioconda/snakemake,2021-08-12 12:51:55.570000,324632.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n299,fancyimpute,iskandr/fancyimpute,,sklearn-utils,https://github.com/iskandr/fancyimpute,https://github.com/iskandr/fancyimpute,Apache-2.0,2015-11-05 23:39:34.000000,2021-08-11 18:31:22.000000,2021-06-18 18:17:55.000000,153,5.0,106.0,983.0,199.0,Multivariate imputation and matrix completion algorithms implemented in Python.,11.0,26,True,2021-06-19 06:16:43.000000,0.6.0,27.0,fancyimpute,,,,['sklearn'],1094.0,1052.0,https://pypi.org/project/fancyimpute,2021-06-19 06:16:43.000000,42.0,9056.0,9056.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n300,ktrain,amaiya/ktrain,,ml-frameworks,https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39.000000,2021-07-28 23:24:27.000000,2021-07-28 23:23:30.000000,216,6.0,355.0,876.0,2428.0,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,12.0,26,True,2021-07-28 23:24:27.000000,0.27.2,156.0,ktrain,,,,['tensorflow'],212.0,210.0,https://pypi.org/project/ktrain,2021-07-28 23:23:21.000000,2.0,28384.0,28384.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n301,Hail,hail-is/hail,,medical-data,https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000000,2021-08-19 14:59:59.000000,2021-08-18 19:51:58.000000,195,55.0,1958.0,738.0,7617.0,Scalable genomic data analysis.,74.0,26,True,2021-07-27 00:59:20.000000,0.2.74,94.0,hail,,,,['spark'],44.0,44.0,https://pypi.org/project/hail,2021-07-27 00:59:24.000000,0.0,15239.0,15239.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n302,CLTK,cltk/cltk,,nlp,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000000,2021-08-13 21:25:18.000000,2021-08-13 20:38:46.000000,301,122.0,383.0,675.0,3581.0,The Classical Language Toolkit.,112.0,26,True,2021-07-18 06:23:30.000000,1.0.17,188.0,cltk,,,,,242.0,174.0,https://pypi.org/project/cltk,2021-08-13 21:25:18.000000,68.0,2493.0,2493.0,,,,,,,,2.0,22.0,,,,,,,,,,,,,,,,,,,,\n303,SMAC3,automl/SMAC3,,hyperopt,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-3-Clause,2016-08-17 10:58:05.000000,2021-08-18 17:55:45.000000,2021-08-06 16:01:42.000000,166,64.0,270.0,603.0,2046.0,Sequential Model-based Algorithm Configuration.,38.0,26,True,2021-08-06 16:03:25.000000,1.0.1,32.0,smac,,,,,58.0,,https://pypi.org/project/smac,2021-08-06 16:07:15.000000,58.0,26345.0,26345.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n304,SALib,SALib/SALib,,probabilistics,https://github.com/SALib/SALib,https://github.com/SALib/SALib,MIT,2013-05-30 13:38:10.000000,2021-08-15 02:12:49.000000,2021-08-14 01:10:17.000000,158,47.0,207.0,506.0,965.0,\"Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.\",32.0,26,True,2021-08-12 15:10:01.000000,1.4.4,38.0,salib,conda-forge/salib,,,,44.0,,https://pypi.org/project/salib,2021-08-12 15:10:01.000000,44.0,79597.0,80792.0,https://anaconda.org/conda-forge/salib,2021-08-12 18:36:23.945000,68132.0,,,,,3.0,,2.0,,,,,,,,,,,,,,,,,,,\n305,PyNNDescent,lmcinnes/pynndescent,,nn-search,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000000,2021-07-27 17:39:54.000000,2021-07-27 17:39:44.000000,60,33.0,42.0,468.0,515.0,A Python nearest neighbor descent for approximate nearest neighbors.,15.0,26,True,2021-07-06 16:06:28.000000,0.5.4,23.0,pynndescent,conda-forge/pynndescent,,,,715.0,709.0,https://pypi.org/project/pynndescent,2021-07-06 16:06:28.000000,6.0,574237.0,582757.0,https://anaconda.org/conda-forge/pynndescent,2021-07-06 21:40:43.689000,221544.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n306,mpi4py,mpi4py/mpi4py,,distributed-ml,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-3-Clause,2013-09-05 14:44:25.000000,2021-08-18 11:03:52.000000,2021-08-18 11:03:51.000000,69,6.0,31.0,440.0,2332.0,Python bindings for MPI.,17.0,26,True,2021-08-14 12:17:40.000000,3.1.1,15.0,mpi4py,conda-forge/mpi4py,,,,752.0,,https://pypi.org/project/mpi4py,2021-08-14 12:09:23.000000,752.0,120158.0,132667.0,https://anaconda.org/conda-forge/mpi4py,2021-08-15 10:17:15.752000,731653.0,,,,,2.0,1417.0,,,,,,,,,,,,,,,,,,,,\n307,audioread,beetbox/audioread,,audio,https://github.com/beetbox/audioread,https://github.com/beetbox/audioread,MIT,2011-11-08 19:53:18.000000,2021-03-16 02:44:53.632000,2020-10-20 11:22:05.000000,83,31.0,44.0,368.0,232.0,cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python.,20.0,26,True,2020-10-20 11:23:09.000000,2.1.9,25.0,audioread,conda-forge/audioread,,,,6500.0,5914.0,https://pypi.org/project/audioread,2020-10-20 11:23:09.000000,586.0,525877.0,531253.0,https://anaconda.org/conda-forge/audioread,2021-03-16 02:44:53.632000,327994.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n308,TensorFlow Cloud,tensorflow/cloud,,tensorflow-utils,https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59.000000,2021-08-18 16:12:14.000000,2021-08-09 17:10:53.000000,53,48.0,26.0,302.0,563.0,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,24.0,26,True,2021-06-17 01:15:10.000000,0.1.16,19.0,tensorflow-cloud,,,,['tensorflow'],92.0,92.0,https://pypi.org/project/tensorflow-cloud,2021-06-17 01:15:10.000000,0.0,1629036.0,1629036.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n309,Cython BLIS,explosion/cython-blis,,others,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16.000000,2021-03-15 19:42:45.000000,2021-03-15 19:42:37.000000,26,6.0,16.0,171.0,526.0,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,9.0,26,False,2020-12-07 08:56:44.000000,0.7.4,35.0,blis,conda-forge/cython-blis,,,,12731.0,12341.0,https://pypi.org/project/blis,2020-12-07 08:56:44.000000,390.0,2346681.0,2380642.0,https://anaconda.org/conda-forge/cython-blis,2021-01-31 09:13:47.685000,984883.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n310,spleeter,deezer/spleeter,,audio,https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000000,2021-06-29 20:46:58.000000,2021-06-02 14:43:25.000000,1806,96.0,476.0,17201.0,463.0,Deezer source separation library including pretrained models.,17.0,25,True,2021-04-15 15:05:07.000000,2.2.2,33.0,spleeter,conda-forge/spleeter,,,['tensorflow'],0.0,,https://pypi.org/project/spleeter,2021-04-15 15:05:07.000000,0.0,8723.0,64766.0,https://anaconda.org/conda-forge/spleeter,2020-06-30 14:33:43.220000,57516.0,,,,,2.0,1172715.0,,,,,,,,,,,,,,,,,,,,\n311,Ludwig,ludwig-ai/ludwig,,ml-frameworks,https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000000,2021-08-18 23:45:12.000000,2021-08-18 03:27:48.000000,915,121.0,443.0,7839.0,2190.0,Ludwig is a toolbox that allows to train and evaluate deep learning models without the need to write code.,94.0,25,True,2021-06-15 04:22:19.000000,0.4,19.0,ludwig,,,,['tensorflow'],105.0,93.0,https://pypi.org/project/ludwig,2021-06-15 04:19:55.000000,12.0,2149.0,2149.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n312,PaddleHub,PaddlePaddle/PaddleHub,,others,https://github.com/PaddlePaddle/PaddleHub,https://github.com/PaddlePaddle/PaddleHub,Apache-2.0,2018-12-21 06:00:48.000000,2021-08-19 13:35:25.000000,2021-08-10 07:52:24.000000,1355,304.0,605.0,6847.0,,\"Awesome pre-trained models toolkit based on PaddlePaddle.(300+ models including Image, Text, Audio and Video with Easy..\",41.0,25,True,2021-04-27 09:56:48.000000,2.1.0,45.0,paddlehub,,,,['paddle'],434.0,434.0,https://pypi.org/project/paddlehub,2021-04-27 09:56:48.000000,0.0,7288.0,7306.0,,,,,,,,2.0,548.0,,,,,,,,,,,,,,,,,,,,\n313,Vaex,vaexio/vaex,,data-containers,https://github.com/vaexio/vaex,https://github.com/vaexio/vaex,MIT,2014-09-27 09:44:42.000000,2021-08-19 11:25:59.000000,2021-08-17 12:18:05.000000,505,334.0,524.0,6501.0,3186.0,\"Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualize and explore big tabular data at a billion..\",51.0,25,True,2021-08-13 14:45:38.000000,4.4.0,54.0,vaex,conda-forge/vaex,,,,4.0,,https://pypi.org/project/vaex,2021-08-13 14:45:38.000000,4.0,22403.0,24350.0,https://anaconda.org/conda-forge/vaex,2021-06-18 07:36:59.502000,112841.0,,,,,3.0,218.0,,,,,,,,,,,,,,,,,,,,\n314,Trax,google/trax,,others,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000000,2021-08-19 07:56:31.000000,2021-08-11 16:39:07.000000,625,77.0,118.0,6387.0,1532.0,Trax Deep Learning with Clear Code and Speed.,71.0,25,True,2021-05-21 19:54:43.000000,1.3.9,22.0,trax,,,,,32.0,32.0,https://pypi.org/project/trax,2021-05-21 19:54:03.000000,,4316.0,4316.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n315,PyText,facebookresearch/pytext,,nlp,https://github.com/facebookresearch/pytext,https://github.com/facebookresearch/pytext,BSD-3-Clause,2018-07-31 23:40:46.000000,2021-08-19 08:01:50.000000,2021-08-19 08:01:48.000000,804,145.0,74.0,6235.0,1629.0,A natural language modeling framework based on PyTorch.,203.0,25,True,2020-06-08 23:30:58.000000,0.3.3,13.0,pytext-nlp,,,,['pytorch'],96.0,95.0,https://pypi.org/project/pytext-nlp,2020-06-08 22:49:33.000000,1.0,482.0,489.0,,,,,,,,2.0,255.0,,,,,,,,,,,,,,,,,,,,\n316,stanza,stanfordnlp/stanza,,nlp,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56.000000,2021-08-19 02:06:52.000000,2021-08-09 23:11:56.000000,729,63.0,492.0,5609.0,,Official Stanford NLP Python Library for Many Human Languages.,39.0,25,True,2021-08-09 23:13:15.000000,1.2.3,13.0,stanza,stanfordnlp/stanza,,,,604.0,600.0,https://pypi.org/project/stanza,2021-08-09 23:13:15.000000,4.0,50273.0,50510.0,https://anaconda.org/stanfordnlp/stanza,2021-08-09 23:52:16.081000,4035.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n317,keras-rl,keras-rl/keras-rl,,reinforcement-learning,https://github.com/keras-rl/keras-rl,https://github.com/keras-rl/keras-rl,MIT,2016-07-02 15:53:12.000000,2020-11-20 07:32:13.000000,2019-11-11 22:14:54.000000,1323,40.0,219.0,5097.0,308.0,Deep Reinforcement Learning for Keras.,40.0,25,False,2018-06-01 07:52:24.000000,0.4.2,8.0,keras-rl,,,,['tensorflow'],614.0,512.0,https://pypi.org/project/keras-rl,2018-06-01 07:52:24.000000,102.0,1671.0,1671.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n318,Great Expectations,great-expectations/great_expectations,,data-pipelines,https://github.com/great-expectations/great_expectations,https://github.com/great-expectations/great_expectations,Apache-2.0,2017-09-11 00:18:46.000000,2021-08-19 14:50:06.000000,2021-08-19 07:57:20.000000,635,142.0,834.0,4821.0,,Always know what to expect from your data.,217.0,25,True,2021-08-13 22:01:23.000000,0.13.28,118.0,great_expectations,,,,,6.0,,https://pypi.org/project/great_expectations,2021-08-13 21:53:11.000000,6.0,1155679.0,1155679.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n319,Edward,blei-lab/edward,,probabilistics,https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05.000000,2019-10-22 20:30:48.000000,2018-07-25 01:28:08.000000,767,212.0,327.0,4646.0,1796.0,\"A probabilistic programming language in TensorFlow. Deep generative models, variational inference.\",87.0,25,False,2018-01-22 06:03:37.000000,1.3.5,28.0,edward,,,,['tensorflow'],313.0,235.0,https://pypi.org/project/edward,2018-01-22 06:03:05.000000,78.0,3391.0,3391.0,,,,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,,,\n320,Augmentor,mdbloice/Augmentor,,image,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55.000000,2020-11-10 05:20:01.000000,2020-03-09 11:32:02.000000,818,121.0,67.0,4511.0,511.0,Image augmentation library in Python for machine learning.,22.0,25,False,2020-01-17 11:59:53.000000,0.2.8,20.0,Augmentor,,,,,390.0,348.0,https://pypi.org/project/Augmentor,2020-01-17 11:59:53.000000,42.0,19605.0,19605.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n321,Lucid,tensorflow/lucid,,interpretability,https://github.com/tensorflow/lucid,https://github.com/tensorflow/lucid,Apache-2.0,2018-01-25 17:41:44.000000,2021-07-02 01:49:08.000000,2021-03-19 15:48:33.000000,592,65.0,100.0,4266.0,667.0,A collection of infrastructure and tools for research in neural network interpretability.,40.0,25,True,2021-03-19 16:01:00.000000,0.3.10,17.0,lucid,,,,['tensorflow'],581.0,575.0,https://pypi.org/project/lucid,2021-03-19 16:01:00.000000,6.0,1025.0,1025.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n322,VisualDL,PaddlePaddle/VisualDL,,ml-experiments,https://github.com/PaddlePaddle/VisualDL,https://github.com/PaddlePaddle/VisualDL,Apache-2.0,2017-12-20 12:34:31.000000,2021-08-03 21:28:31.000000,2021-06-21 06:09:59.000000,564,40.0,325.0,4180.0,,Deep Learning Visualization Toolkit.,30.0,25,True,2021-05-24 15:45:53.000000,2.2.0,32.0,visualdl,,,,['paddle'],623.0,613.0,https://pypi.org/project/visualdl,2021-05-23 12:50:12.000000,10.0,32996.0,33006.0,,,,,,,,2.0,141.0,,,,,,,,,,,,,,,,,,,,\n323,mlpack,mlpack/mlpack,,ml-frameworks,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59.000000,2021-08-19 09:23:29.000000,2021-08-16 22:58:10.000000,1347,147.0,1300.0,3764.0,26911.0,mlpack: a scalable C++ machine learning library --.,277.0,25,True,2020-10-28 18:28:47.000000,3.4.2,40.0,mlpack,conda-forge/mlpack,,,,0.0,,https://pypi.org/project/mlpack,2020-10-28 18:28:47.000000,0.0,1161.0,3486.0,https://anaconda.org/conda-forge/mlpack,2021-07-07 23:51:11.771000,86037.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n324,BigDL,intel-analytics/BigDL,,distributed-ml,https://github.com/intel-analytics/BigDL,https://github.com/intel-analytics/BigDL,Apache-2.0,2016-08-29 07:59:50.000000,2021-07-28 08:27:55.000000,2021-07-28 08:27:55.000000,918,190.0,730.0,3761.0,2677.0,BigDL: Distributed Deep Learning Framework for Apache Spark.,74.0,25,True,2021-07-09 12:20:26.000000,0.13.0,42.0,bigdl,,,,,32.0,26.0,https://pypi.org/project/bigdl,2021-07-23 06:53:44.000000,6.0,2527.0,2527.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,com.intel.analytics.bigdl:bigdl-SPARK_2.4,https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4,2021-04-20 01:33:14.000000,0.0,\n325,lightfm,lyst/lightfm,,recommender-systems,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00.000000,2021-03-25 21:33:37.000000,2021-02-07 21:16:06.000000,596,82.0,343.0,3739.0,428.0,\"A Python implementation of LightFM, a hybrid recommendation algorithm.\",44.0,25,True,2020-11-27 19:48:30.000000,1.16,14.0,lightfm,conda-forge/lightfm,,,,586.0,530.0,https://pypi.org/project/lightfm,2020-11-27 19:55:08.000000,56.0,232831.0,235222.0,https://anaconda.org/conda-forge/lightfm,2021-02-07 22:19:58.097000,102852.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n326,TensorFlowOnSpark,yahoo/TensorFlowOnSpark,,distributed-ml,https://github.com/yahoo/TensorFlowOnSpark,https://github.com/yahoo/TensorFlowOnSpark,Apache-2.0,2017-01-20 18:15:57.000000,2021-07-14 16:10:04.000000,2021-07-07 00:06:56.000000,945,12.0,350.0,3697.0,626.0,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,33.0,25,True,2021-05-25 22:25:31.000000,2.2.4,31.0,tensorflowonspark,,,,\"['tensorflow', 'spark']\",5.0,,https://pypi.org/project/tensorflowonspark,2021-05-25 20:44:29.000000,5.0,235036.0,235036.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n327,PML,KevinMusgrave/pytorch-metric-learning,,pytorch-utils,https://github.com/KevinMusgrave/pytorch-metric-learning,https://github.com/KevinMusgrave/pytorch-metric-learning,MIT,2019-10-23 17:20:35.000000,2021-08-17 08:28:08.000000,2021-08-03 16:06:56.000000,447,47.0,239.0,3522.0,710.0,\"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.\",19.0,25,True,2021-05-10 02:52:47.000000,0.9.99,164.0,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,,['pytorch'],116.0,116.0,https://pypi.org/project/pytorch-metric-learning,2021-08-17 08:28:08.000000,0.0,11932.0,12120.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2021-05-10 03:54:12.379000,3590.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n328,einops,arogozhnikov/einops,,ml-frameworks,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08.000000,2021-06-06 15:02:21.000000,2021-06-04 04:11:08.000000,127,28.0,49.0,3504.0,321.0,\"Deep learning operations reinvented (for pytorch, tensorflow, jax and others).\",12.0,25,True,2020-09-08 08:33:29.000000,0.3,3.0,einops,conda-forge/einops,,,,942.0,932.0,https://pypi.org/project/einops,2020-09-08 08:21:26.000000,10.0,341765.0,342037.0,https://anaconda.org/conda-forge/einops,2020-10-15 20:10:19.681000,6261.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n329,D-Tale,man-group/dtale,,data-viz,https://github.com/man-group/dtale,https://github.com/man-group/dtale,LGPL-2.1,2019-07-15 09:34:48.000000,2021-08-18 12:42:53.046000,2021-08-18 11:52:18.000000,202,34.0,361.0,2567.0,481.0,Visualizer for pandas data structures.,17.0,25,True,2021-08-18 12:24:16.000000,1.55.0,130.0,dtale,conda-forge/dtale,,,\"['pandas', 'jupyter']\",217.0,217.0,https://pypi.org/project/dtale,2021-08-18 12:19:21.000000,0.0,14197.0,18477.0,https://anaconda.org/conda-forge/dtale,2021-08-18 12:42:53.046000,77048.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n330,Neural Network Libraries,sony/nnabla,,ml-frameworks,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10.000000,2021-08-16 08:07:50.000000,2021-08-16 08:07:46.000000,300,29.0,39.0,2485.0,2812.0,Neural Network Libraries.,61.0,25,True,2021-06-27 06:20:56.000000,1.20.1,57.0,nnabla,,,,,34.0,,https://pypi.org/project/nnabla,2021-06-26 22:40:20.000000,34.0,4828.0,4838.0,,,,,,,,3.0,528.0,,,,,,,,,,,,,,,,,,,,\n331,neuralcoref,huggingface/neuralcoref,,nlp,https://github.com/huggingface/neuralcoref,https://github.com/huggingface/neuralcoref,MIT,2017-07-03 13:04:16.000000,2021-06-22 10:51:48.000000,2021-06-22 10:51:48.000000,412,53.0,227.0,2362.0,116.0,Fast Coreference Resolution in spaCy with Neural Networks.,21.0,25,True,2019-04-08 11:28:27.000000,4.0.0,5.0,neuralcoref,conda-forge/neuralcoref,,,,397.0,379.0,https://pypi.org/project/neuralcoref,2019-04-08 09:56:00.000000,18.0,18322.0,18852.0,https://anaconda.org/conda-forge/neuralcoref,2020-02-21 22:10:40.453000,9451.0,,,,,2.0,249.0,,,,,,,,,,,,,,,,,,,,\n332,nlpaug,makcedward/nlpaug,,nlp,https://github.com/makcedward/nlpaug,https://github.com/makcedward/nlpaug,MIT,2019-03-21 03:00:17.000000,2021-07-30 22:15:52.000000,2021-07-30 22:14:30.000000,275,28.0,109.0,2346.0,647.0,Data augmentation for NLP.,19.0,25,True,2021-07-21 04:02:25.000000,1.1.7,33.0,nlpaug,,,,,172.0,170.0,https://pypi.org/project/nlpaug,2021-07-21 04:02:25.000000,2.0,21716.0,21716.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n333,facenet-pytorch,timesler/facenet-pytorch,,image,https://github.com/timesler/facenet-pytorch,https://github.com/timesler/facenet-pytorch,MIT,2019-05-25 01:29:24.000000,2021-05-23 21:26:30.000000,2021-05-23 21:26:30.000000,495,47.0,89.0,2297.0,234.0,Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models.,14.0,25,True,2021-03-10 01:00:20.000000,2.5.2,31.0,facenet-pytorch,,,,['pytorch'],444.0,438.0,https://pypi.org/project/facenet-pytorch,2021-03-10 01:00:20.000000,6.0,10683.0,17071.0,,,,,,,,2.0,134165.0,,,,,,,,,,,,,,,,,,,,\n334,causalml,uber/causalml,,others,https://github.com/uber/causalml,https://github.com/uber/causalml,Apache-2.0,2019-07-09 02:08:58.000000,2021-08-02 20:49:15.000000,2021-08-02 20:26:30.000000,324,48.0,158.0,2191.0,346.0,Uplift modeling and causal inference with machine learning algorithms.,27.0,25,True,2021-08-02 20:49:15.000000,0.11.1,15.0,causalml,,,,,29.0,29.0,https://pypi.org/project/causalml,2021-08-02 20:49:15.000000,0.0,41190.0,41190.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n335,Hyperas,maxpumperla/hyperas,,hyperopt,https://github.com/maxpumperla/hyperas,https://github.com/maxpumperla/hyperas,MIT,2016-02-19 14:45:10.000000,2020-12-22 08:31:48.000000,2020-12-22 08:31:47.000000,305,88.0,158.0,2090.0,209.0,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,21.0,25,True,2019-02-28 09:16:54.000000,0.4.1,9.0,hyperas,,,,['tensorflow'],254.0,212.0,https://pypi.org/project/hyperas,2019-02-28 09:16:54.000000,42.0,28138.0,28138.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n336,ipyparallel,ipython/ipyparallel,,distributed-ml,https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,BSD-3-Clause,2015-04-09 07:43:55.000000,2021-08-19 14:02:13.000000,2021-08-19 13:57:05.000000,808,63.0,229.0,2034.0,,Interactive Parallel Computing in Python.,101.0,25,True,2020-05-05 18:42:38.000000,6.3.0,27.0,ipyparallel,conda-forge/ipyparallel,,,['jupyter'],2139.0,1649.0,https://pypi.org/project/ipyparallel,2021-08-11 18:34:59.000000,490.0,43560.0,51254.0,https://anaconda.org/conda-forge/ipyparallel,2021-08-05 06:25:22.813000,492427.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n337,BoTorch,pytorch/botorch,,hyperopt,https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000000,2021-08-19 14:37:58.000000,2021-08-18 15:27:02.000000,210,42.0,151.0,2032.0,,Bayesian optimization in PyTorch.,59.0,25,True,2021-06-29 19:31:00.000000,0.5.0,17.0,botorch,,,,['pytorch'],149.0,149.0,https://pypi.org/project/botorch,2021-06-29 19:37:54.000000,0.0,70461.0,70461.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n338,polyglot,aboSamoor/polyglot,,nlp,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,GPL-3.0,2014-06-30 02:07:45.000000,2021-04-28 03:41:03.000000,2020-09-22 22:35:28.000000,300,132.0,64.0,1879.0,271.0,Multilingual text (NLP) processing toolkit.,26.0,25,False,2016-07-03 20:05:42.000000,16.7.4,8.0,polyglot,,,,,674.0,544.0,https://pypi.org/project/polyglot,2016-07-03 20:05:42.000000,130.0,74881.0,74881.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n339,efficientnet,qubvel/efficientnet,,tensorflow-utils,https://github.com/qubvel/efficientnet,https://github.com/qubvel/efficientnet,Apache-2.0,2019-05-30 20:21:09.000000,2021-08-16 07:14:52.000000,2021-07-16 09:03:20.000000,422,59.0,55.0,1876.0,66.0,Implementation of EfficientNet model. Keras and TensorFlow Keras.,10.0,25,True,2020-09-15 16:26:00.000000,1.1.1,9.0,efficientnet,,,,['tensorflow'],716.0,712.0,https://pypi.org/project/efficientnet,2020-09-15 16:26:00.000000,4.0,64183.0,71092.0,,,,,,,,3.0,186545.0,,,,,,,,,,,,,,,,,,,,\n340,pgmpy,pgmpy/pgmpy,,probabilistics,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000000,2021-08-17 10:02:57.000000,2021-08-17 09:43:37.000000,585,224.0,534.0,1857.0,6.0,Python Library for learning (Structure and Parameter) and inference (Probabilistic and Causal) in Bayesian Networks.,97.0,25,True,2021-06-30 09:15:38.000000,0.1.15,14.0,pgmpy,,,,,268.0,256.0,https://pypi.org/project/pgmpy,2021-06-30 08:05:07.000000,12.0,32639.0,32645.0,,,,,,,,3.0,95.0,,,,,,,,,,,,,,,,,,,,\n341,scattertext,JasonKessler/scattertext,,nlp,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12.000000,2021-07-07 11:03:19.668000,2021-07-07 05:57:36.000000,224,17.0,65.0,1648.0,351.0,Beautiful visualizations of how language differs among document types.,11.0,25,True,2021-07-07 06:00:32.000000,0.1.4,133.0,scattertext,conda-forge/scattertext,,,,228.0,212.0,https://pypi.org/project/scattertext,2021-07-07 06:00:32.000000,16.0,4618.0,5770.0,https://anaconda.org/conda-forge/scattertext,2021-07-07 11:03:19.668000,55308.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n342,pandas-ta,twopirllc/pandas-ta,,probabilistics,https://github.com/twopirllc/pandas-ta,https://github.com/twopirllc/pandas-ta,MIT,2019-02-19 16:41:09.000000,2021-08-18 23:00:08.000000,2021-07-28 18:50:31.000000,364,33.0,227.0,1505.0,,Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators.,44.0,25,True,2021-07-28 20:21:21.000000,0.3.14,19.0,pandas-ta,,,,['pandas'],200.0,200.0,https://pypi.org/project/pandas-ta,2021-07-28 20:51:17.000000,0.0,30721.0,30721.0,,,,,,,,3.0,,2.0,,,,,,,,,,,,,,,,,,,\n343,Fairness 360,Trusted-AI/AIF360,,interpretability,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15.000000,2021-08-13 06:31:17.000000,2021-07-21 12:17:13.000000,467,52.0,55.0,1466.0,335.0,\"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..\",44.0,25,True,2021-03-04 18:11:34.000000,0.4.0,9.0,aif360,,,,,112.0,108.0,https://pypi.org/project/aif360,2021-03-04 18:11:34.000000,4.0,6306.0,6306.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n344,mljar-supervised,mljar/mljar-supervised,,hyperopt,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000000,2021-08-12 09:13:54.000000,2021-08-12 09:13:54.000000,192,61.0,354.0,1459.0,938.0,Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning.,11.0,25,True,2021-06-08 20:39:40.000000,0.10.6,73.0,mljar-supervised,,,,,15.0,15.0,https://pypi.org/project/mljar-supervised,2021-06-08 20:39:40.000000,,90502.0,90502.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n345,chainercv,chainer/chainercv,,image,https://github.com/chainer/chainercv,https://github.com/chainer/chainercv,MIT,2017-02-13 04:15:10.000000,2021-07-01 16:54:50.000000,2020-01-07 11:48:31.000000,318,54.0,168.0,1459.0,4930.0,ChainerCV: a Library for Deep Learning in Computer Vision.,39.0,25,False,2019-06-12 11:55:02.000000,0.13.1,24.0,chainercv,,,,,60.0,,https://pypi.org/project/chainercv,2019-06-12 11:55:40.000000,60.0,5146.0,5146.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n346,FairScale,facebookresearch/fairscale,,distributed-ml,https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000000,2021-08-18 15:46:54.000000,2021-08-18 15:46:54.000000,101,46.0,150.0,1312.0,500.0,PyTorch extensions for high performance and large scale training.,40.0,25,True,2021-08-12 17:42:24.000000,0.4.0,22.0,fairscale,,,,['pytorch'],62.0,62.0,https://pypi.org/project/fairscale,2021-08-01 04:46:31.000000,0.0,31674.0,31674.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n347,shapash,MAIF/shapash,,interpretability,https://github.com/MAIF/shapash,https://github.com/MAIF/shapash,Apache-2.0,2020-04-29 07:34:23.000000,2021-08-19 13:35:03.000000,2021-08-13 13:53:57.000000,181,8.0,69.0,1287.0,806.0,Shapash makes Machine Learning models transparent and understandable by everyone.,24.0,25,True,2021-07-19 15:12:11.000000,1.4.4,14.0,shapash,,,,['jupyter'],24.0,24.0,https://pypi.org/project/shapash,2021-07-19 15:12:11.000000,,12937.0,12937.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n348,ViZDoom,mwydmuch/ViZDoom,,reinforcement-learning,https://github.com/mwydmuch/ViZDoom,https://github.com/mwydmuch/ViZDoom,MIT,2015-06-26 18:38:23.000000,2021-08-18 22:36:24.000000,2021-08-18 22:36:24.000000,298,88.0,332.0,1242.0,1493.0,Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information.,45.0,25,True,2020-10-29 15:56:20.000000,1.1.8,19.0,vizdoom,,,,,140.0,116.0,https://pypi.org/project/vizdoom,2020-10-29 15:56:20.000000,24.0,997.0,1169.0,,,,,,,,2.0,11198.0,,,,,,,,,,,,,,,,,,,,\n349,PyCUDA,inducer/pycuda,,gpu-utilities,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000000,2021-08-04 03:12:23.000000,2021-07-27 15:24:00.000000,239,55.0,142.0,1197.0,,\"CUDA integration for Python, plus shiny features.\",74.0,25,True,2019-08-12 04:15:37.000000,2019.1.2,47.0,pycuda,,,,,1251.0,959.0,https://pypi.org/project/pycuda,2021-04-03 22:28:54.000000,292.0,27718.0,27718.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n350,bt,pmorissette/bt,,financial-data,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28.000000,2021-05-15 18:58:08.000000,2021-05-15 18:58:08.000000,290,39.0,215.0,1137.0,438.0,bt - flexible backtesting for Python.,24.0,25,True,2021-04-21 02:52:26.000000,0.2.9,25.0,bt,,,,,109.0,69.0,https://pypi.org/project/bt,2021-04-21 02:52:26.000000,40.0,9037.0,9037.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n351,TabPy,tableau/TabPy,,others,https://github.com/tableau/TabPy,https://github.com/tableau/TabPy,MIT,2016-09-27 21:26:03.000000,2021-08-13 02:32:46.000000,2021-08-12 13:06:39.000000,415,17.0,267.0,1114.0,836.0,Execute Python code on the fly and display results in Tableau visualizations:.,43.0,25,True,2020-11-11 19:06:41.000000,2.3.1,24.0,tabpy,,,,,70.0,70.0,https://pypi.org/project/tabpy,2020-11-11 19:06:41.000000,0.0,14217.0,14217.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n352,livelossplot,stared/livelossplot,,ml-experiments,https://github.com/stared/livelossplot,https://github.com/stared/livelossplot,MIT,2018-03-10 17:51:43.000000,2021-08-16 11:53:49.000000,2021-08-16 11:51:40.000000,137,3.0,70.0,1106.0,327.0,\"Live training loss plot in Jupyter Notebook for Keras, PyTorch and others.\",17.0,25,True,2021-02-03 16:25:47.000000,0.5.4,24.0,livelossplot,,,,['jupyter'],618.0,608.0,https://pypi.org/project/livelossplot,2021-02-03 16:25:47.000000,10.0,64969.0,64969.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n353,ArcGIS API,Esri/arcgis-python-api,,geospatial-data,https://github.com/Esri/arcgis-python-api,https://github.com/Esri/arcgis-python-api,Apache-2.0,2016-03-16 01:09:14.000000,2021-08-19 12:05:22.000000,2021-08-11 04:48:24.000000,781,128.0,241.0,1099.0,3199.0,Documentation and samples for ArcGIS API for Python.,70.0,25,True,2021-07-06 17:37:19.000000,1.9,30.0,arcgis,,esridocker/arcgis-api-python-notebook,,,20.0,,https://pypi.org/project/arcgis,2021-07-08 16:38:29.000000,20.0,42595.0,42668.0,,,,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,2020-03-06 00:53:45.164342,33.0,4756.0,3.0,,,,,,,,,,,,,,,,,,,,,\n354,arviz,arviz-devs/arviz,,interpretability,https://github.com/arviz-devs/arviz,https://github.com/arviz-devs/arviz,Apache-2.0,2015-07-29 11:51:10.000000,2021-08-18 13:53:01.000000,2021-08-03 19:24:23.000000,219,141.0,488.0,1068.0,,Exploratory analysis of Bayesian models with Python.,86.0,25,True,2021-02-21 19:39:56.000000,0.11.2,23.0,arviz,conda-forge/arviz,,,,1303.0,1267.0,https://pypi.org/project/arviz,2021-02-21 19:39:56.000000,36.0,335788.0,351584.0,https://anaconda.org/conda-forge/arviz,2021-04-20 19:35:43.998000,426430.0,,,,,2.0,109.0,,,,,,,,,,,,,,,,,,,,\n355,spacy-transformers,explosion/spacy-transformers,,nlp,https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000000,2021-08-17 06:41:12.000000,2021-08-17 06:41:12.000000,121,1.0,,1010.0,1338.0,\"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.\",16.0,25,True,2021-08-12 08:57:47.000000,1.0.4,46.0,spacy-transformers,,,,['spacy'],250.0,244.0,https://pypi.org/project/spacy-transformers,2021-08-12 08:54:27.000000,6.0,56104.0,56104.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n356,PennyLane,PennyLaneAI/PennyLane,,others,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000000,2021-08-19 15:17:21.000000,2021-08-19 14:11:46.000000,292,126.0,345.0,968.0,2034.0,PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum..,65.0,25,True,2021-08-17 02:25:24.000000,0.17.0,24.0,pennylane,,,,,20.0,,https://pypi.org/project/pennylane,2021-08-17 02:25:24.000000,20.0,8200.0,8201.0,,,,,,,,2.0,59.0,,,,,,,,,,,,,,,,,,,,\n357,bcolz,Blosc/bcolz,,data-containers,https://github.com/Blosc/bcolz,https://github.com/Blosc/bcolz,BSD-3-Clause,2010-08-18 15:27:02.000000,2021-04-02 08:59:38.000000,2020-09-10 12:12:45.000000,120,126.0,122.0,930.0,1280.0,A columnar data container that can be compressed.,33.0,25,True,2018-04-13 07:44:26.000000,1.2.1,23.0,bcolz,conda-forge/bcolz,,,,2599.0,1631.0,https://pypi.org/project/bcolz,2018-04-13 07:44:26.000000,968.0,26858.0,31716.0,https://anaconda.org/conda-forge/bcolz,2019-11-05 21:09:48.045000,262370.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n358,kmodes,nicodv/kmodes,,others,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40.000000,2021-07-15 04:36:49.000000,2021-07-15 04:36:46.000000,349,19.0,115.0,889.0,464.0,\"Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data.\",18.0,25,True,2021-02-13 03:34:23.000000,0.11.0,13.0,kmodes,,,,,745.0,719.0,https://pypi.org/project/kmodes,2021-02-13 03:26:34.000000,26.0,175266.0,175266.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n359,PySAL,pysal/pysal,,geospatial-data,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42.000000,2021-08-02 16:50:41.186000,2021-08-01 00:01:38.000000,247,58.0,586.0,888.0,4123.0,PySAL: Python Spatial Analysis Library Meta-Package.,72.0,25,True,2021-08-01 00:02:42.000000,2.5.0,26.0,pysal,conda-forge/pysal,,,,36.0,,https://pypi.org/project/pysal,2021-08-01 00:14:07.000000,36.0,14223.0,21137.0,https://anaconda.org/conda-forge/pysal,2021-08-02 16:50:41.186000,421789.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n360,pyclustering,annoviko/pyclustering,,others,https://github.com/annoviko/pyclustering,https://github.com/annoviko/pyclustering,BSD-3-Clause,2014-02-25 18:59:03.000000,2021-07-15 10:56:43.000000,2021-02-12 19:04:59.000000,198,54.0,585.0,862.0,2079.0,\"pyclustring is a Python, C++ data mining library.\",26.0,25,True,2020-11-25 22:33:07.000000,0.10.1.2,46.0,pyclustering,conda-forge/pyclustering,,,,257.0,221.0,https://pypi.org/project/pyclustering,2020-11-25 22:41:20.000000,36.0,44068.0,45445.0,https://anaconda.org/conda-forge/pyclustering,2021-07-14 21:12:14.195000,27435.0,,,,,2.0,357.0,,,,,,,,,,,,,,,,,,,,\n361,empyrical,quantopian/empyrical,,financial-data,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52.000000,2020-10-14 13:28:13.625000,2020-10-14 13:22:39.000000,269,27.0,26.0,817.0,167.0,Common financial risk and performance metrics. Used by zipline and pyfolio.,22.0,25,True,2020-10-13 21:29:19.000000,0.5.5,21.0,empyrical,conda-forge/empyrical,,,,904.0,682.0,https://pypi.org/project/empyrical,2020-10-13 21:29:19.000000,222.0,45379.0,45684.0,https://anaconda.org/conda-forge/empyrical,2020-10-14 13:28:13.625000,12821.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n362,pingouin,raphaelvallat/pingouin,,probabilistics,https://github.com/raphaelvallat/pingouin,https://github.com/raphaelvallat/pingouin,GPL-3.0,2018-04-01 01:10:22.000000,2021-08-17 09:36:27.300000,2021-08-13 17:56:02.000000,67,15.0,137.0,779.0,1135.0,Statistical package in Python based on Pandas.,20.0,25,False,2021-08-13 18:00:34.000000,0.4.0,34.0,pingouin,conda-forge/pingouin,,,,303.0,293.0,https://pypi.org/project/pingouin,2021-08-13 17:49:09.000000,10.0,138154.0,139486.0,https://anaconda.org/conda-forge/pingouin,2021-08-17 09:36:27.300000,42653.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n363,pythreejs,jupyter-widgets/pythreejs,,data-viz,https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,BSD-3-Clause,2013-12-23 17:02:11.000000,2021-07-28 20:50:00.000000,2021-02-26 14:01:59.000000,162,63.0,142.0,749.0,1659.0,A Jupyter - Three.js bridge.,27.0,25,True,2021-02-26 14:01:21.000000,2.3.0,43.0,pythreejs,conda-forge/pythreejs,,,['jupyter'],51.0,17.0,https://pypi.org/project/pythreejs,2021-02-26 14:01:21.000000,26.0,41359.0,53910.0,https://anaconda.org/conda-forge/pythreejs,2021-03-02 13:32:39.505000,327012.0,,,,,3.0,,,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,2021-02-26 13:59:06.062000,8.0,7361.0,,,,,,,,,,,,,\n364,mahotas,luispedro/mahotas,,image,https://github.com/luispedro/mahotas,https://github.com/luispedro/mahotas,MIT,2010-01-31 00:13:06.000000,2021-05-31 13:33:21.000000,2021-05-31 13:33:21.000000,132,16.0,58.0,703.0,1280.0,Computer Vision in Python.,31.0,25,True,2020-08-16 17:22:48.000000,1.4.11,57.0,mahotas,conda-forge/mahotas,,,,862.0,672.0,https://pypi.org/project/mahotas,2020-08-16 17:22:48.000000,190.0,20973.0,25540.0,https://anaconda.org/conda-forge/mahotas,2021-01-22 05:47:20.379000,296896.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n365,PDPbox,SauceCat/PDPbox,,data-viz,https://github.com/SauceCat/PDPbox,https://github.com/SauceCat/PDPbox,MIT,2017-06-26 08:01:54.000000,2021-06-24 15:32:01.000000,2021-03-14 16:01:01.000000,93,20.0,38.0,598.0,227.0,python partial dependence plot toolbox.,7.0,25,True,2021-03-14 16:21:17.000000,0.2.1,3.0,pdpbox,conda-forge/pdpbox,,,,455.0,421.0,https://pypi.org/project/pdpbox,2021-03-14 16:21:17.000000,34.0,71038.0,71391.0,https://anaconda.org/conda-forge/pdpbox,2021-03-14 19:37:51.465000,8836.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n366,tensorflow-upstream,ROCmSoftwarePlatform/tensorflow-upstream,,ml-frameworks,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,Apache-2.0,2018-04-09 21:24:50.000000,2021-08-19 12:03:04.000000,2021-08-17 10:42:33.000000,64,55.0,249.0,567.0,79524.0,TensorFlow ROCm port.,3773.0,25,True,2021-05-21 16:17:54.000000,2.4.3,67.0,tensorflow-rocm,,,,['tensorflow'],0.0,,https://pypi.org/project/tensorflow-rocm,2021-08-16 21:22:25.000000,0.0,2550.0,2550.0,,,,,,,,3.0,17.0,,,,,,,,,,,,,,,,,,,,\n367,hvPlot,holoviz/hvplot,,data-viz,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000000,2021-08-16 14:35:49.000000,2021-08-05 14:23:50.000000,59,126.0,255.0,430.0,419.0,\"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.\",30.0,25,True,2021-07-26 16:25:50.000000,0.7.3,36.0,hvplot,conda-forge/hvplot,,,,753.0,723.0,https://pypi.org/project/hvplot,2021-07-23 11:33:46.000000,30.0,30739.0,33839.0,https://anaconda.org/conda-forge/hvplot,2021-07-23 14:04:28.244000,111627.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n368,python-soundfile,bastibe/python-soundfile,,audio,https://github.com/bastibe/python-soundfile,https://github.com/bastibe/python-soundfile,BSD-3-Clause,2013-08-27 13:36:52.000000,2021-01-13 07:52:51.000000,2020-12-01 18:42:47.000000,51,62.0,94.0,403.0,493.0,\"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.\",19.0,25,True,2019-12-04 10:03:39.000000,0.10.3post1,7.0,soundfile,,,,,9118.0,8378.0,https://pypi.org/project/soundfile,2019-11-27 12:16:19.000000,740.0,777047.0,777075.0,,,,,,,,2.0,2531.0,,,,,,,,,,,,,,,,,,,,\n369,ml-metadata,google/ml-metadata,,ml-experiments,https://github.com/google/ml-metadata,https://github.com/google/ml-metadata,Apache-2.0,2019-01-15 21:02:09.000000,2021-08-19 08:07:40.000000,2021-08-19 08:07:37.000000,74,18.0,51.0,364.0,545.0,For recording and retrieving metadata associated with ML developer and data scientist workflows.,13.0,25,True,2021-08-10 19:35:12.000000,1.2.0,29.0,ml-metadata,,,,,146.0,146.0,https://pypi.org/project/ml-metadata,2021-08-10 19:35:12.000000,0.0,1858496.0,1858546.0,,,,,,,,2.0,1478.0,,,,,,,,,,,,,,,,,,,,\n370,Ciphey,Ciphey/Ciphey,,nlp,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39.000000,2021-08-15 16:34:40.000000,2021-07-14 06:56:11.000000,461,53.0,207.0,7953.0,1854.0,\"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.\",45.0,24,True,2021-06-06 17:14:16.000000,5.14.0,50.0,ciphey,,remnux/ciphey,,,,,https://pypi.org/project/ciphey,2021-06-06 17:13:48.000000,,14914.0,15359.0,,,,https://hub.docker.com/r/remnux/ciphey,2021-06-06 19:39:58.688952,4.0,11136.0,3.0,,,,,,,,,,,,,,,,,,,,,\n371,NuPIC,numenta/nupic,,ml-frameworks,https://github.com/numenta/nupic,https://github.com/numenta/nupic,AGPL-3.0,2013-04-05 23:14:27.000000,2021-03-25 21:39:47.000000,2019-10-23 20:45:07.000000,1585,456.0,1337.0,6265.0,6625.0,\"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..\",121.0,24,False,2018-06-01 15:37:54.000000,1.0.5,53.0,nupic,,,,,142.0,104.0,https://pypi.org/project/nupic,2018-06-01 15:37:54.000000,38.0,3516.0,3516.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n372,english-words,dwyl/english-words,,nlp,https://github.com/dwyl/english-words,https://github.com/dwyl/english-words,Unlicense,2014-07-13 22:20:45.000000,2021-08-02 04:02:28.000000,2020-10-15 08:03:00.000000,1153,44.0,26.0,5460.0,83.0,A text file containing 479k English words for all your dictionary/word-based projects e.g: auto-completion /..,25.0,24,True,2021-08-02 04:02:28.000000,1.0.4,5.0,english-words,,,,,4.0,,https://pypi.org/project/english-words,2021-08-02 04:02:28.000000,4.0,14386.0,14386.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n373,Face Alignment,1adrianb/face-alignment,,image,https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44.000000,2021-08-04 06:54:32.000000,2021-08-04 06:54:21.000000,1089,41.0,213.0,5137.0,205.0,2D and 3D Face alignment library build using pytorch.,23.0,24,True,2021-04-28 22:17:22.000000,1.3.4,10.0,face-alignment,,,,['pytorch'],12.0,,https://pypi.org/project/face-alignment,2021-04-28 22:17:22.000000,12.0,6022.0,6022.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n374,flashtext,vi3k6i5/flashtext,,nlp,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01.000000,2021-07-26 20:38:52.000000,2020-05-03 07:13:22.000000,556,54.0,49.0,4902.0,108.0,Extract Keywords from sentence or Replace keywords in sentences.,8.0,24,False,,,18.0,flashtext,,,,,582.0,550.0,https://pypi.org/project/flashtext,2018-02-16 05:24:17.000000,32.0,439555.0,439555.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n375,textgenrnn,minimaxir/textgenrnn,,nlp,https://github.com/minimaxir/textgenrnn,https://github.com/minimaxir/textgenrnn,MIT,2017-08-07 02:13:37.000000,2021-06-18 06:05:47.000000,2020-07-14 02:41:10.000000,690,117.0,85.0,4488.0,174.0,Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines..,19.0,24,False,2020-02-03 01:07:00.000000,2.0.0,14.0,textgenrnn,,,,['tensorflow'],958.0,930.0,https://pypi.org/project/textgenrnn,2020-02-02 21:16:15.000000,28.0,895.0,908.0,,,,,,,,3.0,555.0,,,,,,,,,,,,,,,,,,,,\n376,Lasagne,Lasagne/Lasagne,,ml-frameworks,https://github.com/Lasagne/Lasagne,https://github.com/Lasagne/Lasagne,MIT,2014-09-11 15:31:41.000000,2019-11-20 20:28:31.000000,2019-11-20 20:28:30.000000,983,139.0,402.0,3783.0,1161.0,Lightweight library to build and train neural networks in Theano.,72.0,24,False,2015-08-13 21:00:09.000000,0.1,1.0,lasagne,,,,,1352.0,846.0,https://pypi.org/project/lasagne,2015-08-13 21:10:53.000000,506.0,3279.0,3279.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n377,DeepMatcher,anhaidgroup/deepmatcher,,nlp,https://github.com/anhaidgroup/deepmatcher,https://github.com/anhaidgroup/deepmatcher,BSD-3-Clause,2017-12-01 19:01:11.000000,2021-06-13 01:13:43.000000,2021-06-13 00:22:13.000000,1399,53.0,22.0,3749.0,176.0,Python package for performing Entity and Text Matching using Deep Learning.,7.0,24,True,2021-05-27 22:28:29.000000,0.1.2,13.0,deepmatcher,,,,,14.0,14.0,https://pypi.org/project/deepmatcher,2021-06-13 01:13:24.000000,,2563.0,2563.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n378,torchdiffeq,rtqichen/torchdiffeq,,pytorch-utils,https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25.000000,2021-07-27 23:37:59.000000,2021-07-27 23:35:33.000000,618,27.0,126.0,3641.0,219.0,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,19.0,24,True,2021-06-02 23:04:51.000000,0.2.2,6.0,torchdiffeq,,,,['pytorch'],124.0,124.0,https://pypi.org/project/torchdiffeq,2021-06-02 23:04:51.000000,0.0,6408.0,6408.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n379,T5,google-research/text-to-text-transfer-transformer,,nlp,https://github.com/google-research/text-to-text-transfer-transformer,https://github.com/google-research/text-to-text-transfer-transformer,Apache-2.0,2019-10-17 21:45:14.000000,2021-08-17 13:55:04.000000,2021-08-17 13:54:58.000000,482,54.0,326.0,3556.0,,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,40.0,24,True,2021-08-04 19:15:10.000000,0.9.2,27.0,t5,,,,['tensorflow'],44.0,44.0,https://pypi.org/project/t5,2021-08-04 19:15:10.000000,0.0,12640.0,12640.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n380,xLearn,aksnzhy/xlearn,,ml-frameworks,https://github.com/aksnzhy/xlearn,https://github.com/aksnzhy/xlearn,Apache-2.0,2017-06-10 08:09:31.000000,2021-01-28 14:17:44.000000,2020-03-03 10:12:35.000000,528,193.0,108.0,2909.0,1340.0,\"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..\",30.0,24,False,2019-04-25 02:10:05.000000,0.4.4,15.0,xlearn,,,,,67.0,65.0,https://pypi.org/project/xlearn,2018-12-04 11:05:06.000000,2.0,6824.0,6891.0,,,,,,,,3.0,2765.0,,,,,,,,,,,,,,,,,,,,\n381,keras-vis,raghakot/keras-vis,,interpretability,https://github.com/raghakot/keras-vis,https://github.com/raghakot/keras-vis,MIT,2016-11-11 23:27:34.000000,2020-04-20 01:03:13.000000,2020-04-20 01:03:12.000000,598,114.0,99.0,2855.0,195.0,Neural network visualization toolkit for keras.,10.0,24,False,2017-07-06 04:55:04.000000,0.4.1,11.0,keras-vis,,,,['tensorflow'],1302.0,1246.0,https://pypi.org/project/keras-vis,2017-07-06 04:55:04.000000,56.0,4793.0,4793.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n382,Core ML Tools,apple/coremltools,,model-serialisation,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000000,2021-08-16 20:52:56.000000,2021-08-16 20:39:42.000000,378,394.0,388.0,2341.0,,\"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.\",116.0,24,True,2021-02-05 02:07:15.000000,4.1,31.0,coremltools,,,,,861.0,595.0,https://pypi.org/project/coremltools,2021-08-16 20:40:35.000000,266.0,53257.0,53328.0,,,,,,,,2.0,3383.0,,,,,,,,,,,,,,,,,,,,\n383,Acme,deepmind/acme,,reinforcement-learning,https://github.com/deepmind/acme,https://github.com/deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000000,2021-08-18 14:17:35.000000,2021-08-18 14:16:48.000000,258,54.0,75.0,2270.0,532.0,A library of reinforcement learning components and agents.,44.0,24,True,2021-05-26 17:12:29.000000,0.2.1,10.0,dm-acme,,,,['tensorflow'],39.0,39.0,https://pypi.org/project/dm-acme,2021-05-26 17:12:54.000000,0.0,4105.0,4105.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n384,Darts,unit8co/darts,,time-series-data,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000000,2021-08-19 14:04:02.000000,2021-08-13 12:12:12.000000,170,24.0,95.0,2231.0,425.0,A python library for easy manipulation and forecasting of time series.,33.0,24,True,2021-08-13 12:18:48.000000,0.10.0,16.0,u8darts,,unit8/darts,,,10.0,10.0,https://pypi.org/project/u8darts,2021-08-13 12:18:48.000000,0.0,4853.0,4856.0,,,,https://hub.docker.com/r/unit8/darts,2021-08-13 12:22:11.131704,,139.0,2.0,,,,,,,,,,,,,,,,,,,,,\n385,MONAI,Project-MONAI/MONAI,,medical-data,https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000000,2021-08-19 14:34:15.000000,2021-08-19 12:05:21.000000,411,121.0,996.0,2191.0,,AI Toolkit for Healthcare Imaging.,74.0,24,True,2021-07-08 23:37:30.000000,0.6.0,25.0,monai,,,,['pytorch'],100.0,100.0,https://pypi.org/project/monai,2021-07-08 20:50:31.000000,0.0,14250.0,14250.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n386,polars,pola-rs/polars,,data-containers,https://github.com/pola-rs/polars,https://github.com/pola-rs/polars,MIT,2020-05-13 19:45:33.000000,2021-08-19 14:15:45.000000,2021-08-19 11:41:14.000000,120,54.0,424.0,2167.0,2021.0,Fast multi-threaded DataFrame library in Rust and Python.,34.0,24,True,2021-08-18 09:55:08.000000,0.8.23,60.0,polars,,,,,4.0,4.0,https://pypi.org/project/polars,2021-08-18 09:55:08.000000,0.0,12187.0,12187.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n387,TorchServe,pytorch/serve,,model-serialisation,https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000000,2021-08-19 15:02:56.000000,2021-08-18 00:10:56.000000,360,114.0,562.0,2033.0,1916.0,Model Serving on PyTorch.,76.0,24,True,2021-08-02 21:31:05.000000,0.4.2,10.0,torchserve,pytorch/torchserve,pytorch/torchserve,,['pytorch'],0.0,,https://pypi.org/project/torchserve,2021-08-02 20:44:55.000000,0.0,9877.0,15091.0,https://anaconda.org/pytorch/torchserve,2021-08-02 20:45:16.815000,11984.0,https://hub.docker.com/r/pytorch/torchserve,2021-08-02 20:52:41.515485,5.0,97447.0,2.0,576.0,-3.0,,,,,,,,,,,,,,,,,,,\n388,Alphalens,quantopian/alphalens,,financial-data,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15.000000,2020-09-05 16:48:14.000000,2020-04-27 18:40:41.000000,758,38.0,145.0,2017.0,522.0,Performance analysis of predictive (alpha) stock factors.,25.0,24,False,2020-04-30 15:42:52.000000,0.4.0,10.0,alphalens,conda-forge/alphalens,,,,456.0,428.0,https://pypi.org/project/alphalens,2020-04-27 21:03:10.000000,28.0,2437.0,2743.0,https://anaconda.org/conda-forge/alphalens,2020-05-16 13:52:44.922000,12872.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n389,SRU,asappresearch/sru,,pytorch-utils,https://github.com/asappresearch/sru,https://github.com/asappresearch/sru,MIT,2017-08-28 20:37:41.000000,2021-06-29 18:11:30.000000,2021-05-19 15:52:48.000000,290,53.0,66.0,1960.0,400.0,Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755).,21.0,24,True,2021-05-18 16:13:10.000000,2.6.0,32.0,sru,,,,['pytorch'],18.0,16.0,https://pypi.org/project/sru,2021-06-17 23:33:37.000000,2.0,4484.0,4484.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n390,python_speech_features,jameslyons/python_speech_features,,audio,https://github.com/jameslyons/python_speech_features,https://github.com/jameslyons/python_speech_features,MIT,2013-10-31 02:42:08.000000,2020-12-31 13:27:02.000000,2020-12-31 13:27:01.000000,559,23.0,49.0,1948.0,120.0,This library provides common speech features for ASR including MFCCs and filterbank energies.,19.0,24,True,2020-01-14 14:12:10.000000,0.6.1,6.0,python_speech_features,,,,,300.0,,https://pypi.org/project/python_speech_features,2017-08-16 01:46:13.000000,300.0,102039.0,102039.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n391,pytorch-nlp,PetrochukM/PyTorch-NLP,,nlp,https://github.com/PetrochukM/PyTorch-NLP,https://github.com/PetrochukM/PyTorch-NLP,BSD-3-Clause,2018-02-25 05:00:36.000000,2021-07-10 15:56:42.000000,2021-07-10 15:56:42.000000,236,16.0,49.0,1945.0,447.0,Basic Utilities for PyTorch Natural Language Processing (NLP).,18.0,24,True,2019-11-04 05:16:00.000000,0.5.0,19.0,pytorch-nlp,,,,['pytorch'],285.0,267.0,https://pypi.org/project/pytorch-nlp,2019-11-04 04:35:18.000000,18.0,5196.0,5196.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n392,PyFlux,RJT1990/pyflux,,time-series-data,https://github.com/RJT1990/pyflux,https://github.com/RJT1990/pyflux,BSD-3-Clause,2016-02-16 20:12:02.000000,2019-03-19 10:45:02.000000,2018-12-16 15:30:13.000000,217,80.0,65.0,1905.0,118.0,Open source time series library for Python.,6.0,24,False,2017-11-21 16:27:06.000000,0.4.16,35.0,pyflux,,,,,224.0,194.0,https://pypi.org/project/pyflux,2017-11-21 16:27:06.000000,30.0,64994.0,64994.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n393,Essentia,MTG/essentia,,audio,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000000,2021-08-18 09:26:54.000000,2021-08-18 09:26:54.000000,422,331.0,582.0,1886.0,2896.0,\"C++ library for audio and music analysis, description and synthesis, including Python bindings.\",71.0,24,False,2015-03-31 16:33:30.000000,2.0,9.0,essentia,,,,,231.0,221.0,https://pypi.org/project/essentia,2021-01-13 00:12:18.000000,10.0,2029.0,2029.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n394,Spektral,danielegrattarola/spektral,,graph,https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10.000000,2021-08-10 12:54:02.000000,2021-07-28 15:30:03.000000,240,35.0,145.0,1840.0,1018.0,Graph Neural Networks with Keras and Tensorflow 2.,18.0,24,True,2021-07-09 07:53:54.000000,1.0.7,30.0,spektral,,,,\"['tensorflow\"\"']\",70.0,70.0,https://pypi.org/project/spektral,2021-07-09 07:53:54.000000,0.0,4227.0,4227.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n395,Pillow-SIMD,uploadcare/pillow-simd,,image,https://github.com/uploadcare/pillow-simd,https://github.com/uploadcare/pillow-simd,PIL,2014-11-12 15:33:02.000000,2021-08-02 11:34:58.000000,2020-06-02 14:50:14.000000,72,12.0,56.0,1626.0,,The friendly PIL fork.,310.0,24,False,2020-01-02 05:19:26.000000,7.0.0,35.0,pillow-simd,,,,,487.0,437.0,https://pypi.org/project/pillow-simd,2020-01-26 14:30:27.000000,50.0,72950.0,72950.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n396,IB-insync,erdewit/ib_insync,,financial-data,https://github.com/erdewit/ib_insync,https://github.com/erdewit/ib_insync,BSD-2-Clause,2017-07-12 12:09:24.000000,2021-07-09 03:44:35.000000,2021-07-08 17:52:51.000000,438,8.0,324.0,1512.0,592.0,Python sync/async framework for Interactive Brokers API.,28.0,24,True,2021-04-26 18:22:55.000000,0.9.66,91.0,ib_insync,conda-forge/ib-insync,,,,12.0,,https://pypi.org/project/ib_insync,2021-04-26 18:22:55.000000,12.0,7135.0,7594.0,https://anaconda.org/conda-forge/ib-insync,2021-02-25 02:28:19.625000,11488.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n397,sklearn-contrib-lightning,scikit-learn-contrib/lightning,,sklearn-utils,https://github.com/scikit-learn-contrib/lightning,https://github.com/scikit-learn-contrib/lightning,BSD-3-Clause,2012-01-11 13:53:52.000000,2021-06-15 21:59:11.000000,2021-06-15 21:53:37.000000,193,50.0,40.0,1473.0,728.0,\"Large-scale linear classification, regression and ranking in Python.\",17.0,24,True,2021-06-16 21:04:08.000000,0.6.1,10.0,sklearn-contrib-lightning,conda-forge/sklearn-contrib-lightning,,,['sklearn'],96.0,86.0,https://pypi.org/project/sklearn-contrib-lightning,2021-06-15 21:53:28.000000,10.0,4691.0,7229.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2020-12-20 22:58:20.890000,152708.0,,,,,2.0,71.0,,,,,,,,,,,,,,,,,,,,\n398,streamparse,Parsely/streamparse,,data-pipelines,https://github.com/Parsely/streamparse,https://github.com/Parsely/streamparse,Apache-2.0,2014-05-02 20:33:50.000000,2021-06-21 22:49:33.000000,2020-12-18 18:43:59.000000,219,69.0,263.0,1439.0,1059.0,\"Run Python in Apache Storm topologies. Pythonic API, CLI tooling, and a topology DSL.\",41.0,24,True,2020-10-07 19:53:15.000000,4.0.0,47.0,streamparse,,,,,101.0,49.0,https://pypi.org/project/streamparse,2020-10-07 19:45:19.000000,52.0,3709.0,3709.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n399,Torchmeta,tristandeleu/pytorch-meta,,pytorch-utils,https://github.com/tristandeleu/pytorch-meta,https://github.com/tristandeleu/pytorch-meta,MIT,2018-12-04 23:36:45.000000,2021-08-02 17:05:06.000000,2021-07-31 11:01:33.000000,161,34.0,79.0,1407.0,376.0,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.,12.0,24,True,2021-03-19 14:49:53.000000,1.7.0,27.0,torchmeta,,,,['pytorch'],56.0,56.0,https://pypi.org/project/torchmeta,2021-03-19 14:49:53.000000,,2015.0,2015.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n400,Karate Club,benedekrozemberczki/karateclub,,graph,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56.000000,2021-08-17 19:55:20.000000,2021-08-17 19:55:17.000000,160,1.0,59.0,1372.0,2158.0,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,13.0,24,False,2021-08-04 20:14:06.000000,_10201,100.0,karateclub,,,,,52.0,52.0,https://pypi.org/project/karateclub,2021-08-04 20:04:35.000000,0.0,11532.0,11532.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n401,sense2vec,explosion/sense2vec,,nlp,https://github.com/explosion/sense2vec,https://github.com/explosion/sense2vec,MIT,2016-01-23 22:15:49.000000,2021-08-16 11:44:51.000000,2021-08-16 11:44:51.000000,214,19.0,85.0,1277.0,454.0,Contextually-keyed word vectors.,17.0,24,True,2021-04-19 07:05:28.000000,3.0.0,22.0,sense2vec,conda-forge/sense2vec,,,,92.0,80.0,https://pypi.org/project/sense2vec,2021-04-19 07:05:28.000000,12.0,4048.0,5472.0,https://anaconda.org/conda-forge/sense2vec,2021-07-14 13:20:19.752000,21790.0,,,,,3.0,19107.0,,,,,,,,,,,,,,,,,,,,\n402,garage,rlworkgroup/garage,,reinforcement-learning,https://github.com/rlworkgroup/garage,https://github.com/rlworkgroup/garage,MIT,2018-06-10 21:31:23.000000,2021-08-10 03:24:53.000000,2021-06-22 02:58:36.000000,236,205.0,796.0,1258.0,1213.0,A toolkit for reproducible reinforcement learning research.,77.0,24,True,2021-03-23 22:18:36.000000,2021.3.0,21.0,garage,,,,['tensorflow'],19.0,19.0,https://pypi.org/project/garage,2021-03-23 22:18:36.000000,0.0,328.0,328.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n403,FinTA,peerchemist/finta,,financial-data,https://github.com/peerchemist/finta,https://github.com/peerchemist/finta,LGPL-3.0,2016-09-01 21:02:46.000000,2021-07-23 15:06:12.000000,2021-07-23 15:06:07.000000,395,14.0,63.0,1209.0,387.0,Common financial technical indicators implemented in Pandas.,25.0,24,False,2021-04-03 08:51:49.000000,1.3,19.0,finta,,,,,95.0,91.0,https://pypi.org/project/finta,2020-10-21 11:39:44.000000,4.0,9277.0,9277.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n404,pycm,sepandhaghighi/pycm,,others,https://github.com/sepandhaghighi/pycm,https://github.com/sepandhaghighi/pycm,MIT,2018-01-22 19:46:54.000000,2021-08-19 13:51:17.000000,2021-08-11 12:52:10.000000,97,11.0,157.0,1126.0,2695.0,Multi-class confusion matrix library in Python.,15.0,24,True,2021-08-11 13:07:51.000000,3.2,36.0,pycm,,,,,120.0,110.0,https://pypi.org/project/pycm,2021-08-11 13:08:23.000000,10.0,20335.0,20335.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n405,Alibi,SeldonIO/alibi,,interpretability,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Apache-2.0,2019-02-26 10:10:56.000000,2021-08-13 15:52:28.000000,2021-08-13 15:52:28.000000,139,102.0,126.0,1116.0,288.0,Algorithms for explaining machine learning models.,15.0,24,True,2021-07-08 14:26:57.000000,0.6.0,19.0,alibi,,,,,117.0,99.0,https://pypi.org/project/alibi,2021-07-08 14:25:46.000000,18.0,13074.0,13074.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n406,pandasql,yhat/pandasql,,data-containers,https://github.com/yhat/pandasql,https://github.com/yhat/pandasql,MIT,2013-02-18 01:53:56.000000,2020-08-14 13:00:13.000000,2017-02-01 15:40:30.000000,145,44.0,23.0,1029.0,127.0,sqldf for pandas.,15.0,24,False,2016-04-20 21:52:36.000000,0.7.3,31.0,pandasql,,,,['pandas'],973.0,875.0,https://pypi.org/project/pandasql,2016-04-20 21:52:36.000000,98.0,502260.0,502260.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n407,Streamz,python-streamz/streamz,,time-series-data,https://github.com/python-streamz/streamz,https://github.com/python-streamz/streamz,BSD-3-Clause,2017-04-04 21:45:49.000000,2021-06-23 01:24:18.000000,2021-06-23 01:24:18.000000,122,95.0,136.0,969.0,749.0,Real-time stream processing for python.,41.0,24,True,2021-01-14 20:47:38.000000,0.6.2,15.0,streamz,conda-forge/streamz,,,,242.0,226.0,https://pypi.org/project/streamz,2021-01-14 20:47:38.000000,16.0,9452.0,13459.0,https://anaconda.org/conda-forge/streamz,2021-01-15 14:38:35.032000,188349.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n408,ffn,pmorissette/ffn,,financial-data,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09.000000,2021-05-15 18:59:42.000000,2021-04-24 00:58:10.000000,195,18.0,77.0,922.0,351.0,ffn - a financial function library for Python.,26.0,24,True,2021-04-21 02:47:21.000000,0.3.6,27.0,ffn,,,,,178.0,136.0,https://pypi.org/project/ffn,2021-04-21 02:47:21.000000,42.0,38928.0,38928.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n409,minisom,JustGlowing/minisom,,others,https://github.com/JustGlowing/minisom,https://github.com/JustGlowing/minisom,CC-BY-3.0,2013-07-03 10:10:06.000000,2021-08-14 15:08:39.000000,2021-08-09 09:12:41.000000,288,6.0,74.0,897.0,459.0,MiniSom is a minimalistic implementation of the Self Organizing Maps.,23.0,24,False,2021-04-24 17:22:39.000000,2.2.9,1.0,minisom,,,,,197.0,189.0,https://pypi.org/project/minisom,2021-04-24 17:21:29.000000,8.0,9451.0,9451.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n410,openTSNE,pavlin-policar/openTSNE,,data-viz,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000000,2021-08-09 08:48:44.275000,2021-06-06 07:18:34.000000,91,8.0,86.0,870.0,557.0,\"Extensible, parallel implementations of t-SNE.\",10.0,24,True,2021-04-25 19:32:11.000000,0.6.0,21.0,opentsne,conda-forge/opentsne,,,,247.0,243.0,https://pypi.org/project/opentsne,2021-04-25 19:24:59.000000,4.0,14796.0,18384.0,https://anaconda.org/conda-forge/opentsne,2021-08-09 08:48:44.275000,114828.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n411,Opacus,pytorch/opacus,,privacy-ml,https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000000,2021-08-12 16:27:14.000000,2021-08-12 16:24:04.000000,133,15.0,78.0,865.0,268.0,Training PyTorch models with differential privacy.,31.0,24,True,2021-06-23 16:51:56.000000,0.14.0,9.0,opacus,,,,['pytorch'],44.0,44.0,https://pypi.org/project/opacus,2021-06-23 16:51:56.000000,0.0,9342.0,9344.0,,,,,,,,2.0,40.0,,,,,,,,,,,,,,,,,,,,\n412,Neural Structured Learning,tensorflow/neural-structured-learning,,tensorflow-utils,https://github.com/tensorflow/neural-structured-learning,https://github.com/tensorflow/neural-structured-learning,Apache-2.0,2019-08-27 21:48:16.000000,2021-08-13 14:30:48.000000,2021-08-13 14:30:46.000000,152,3.0,53.0,847.0,462.0,Training neural models with structured signals.,29.0,24,True,2020-08-18 00:35:35.000000,1.3.1,7.0,neural-structured-learning,,,,['tensorflow'],101.0,101.0,https://pypi.org/project/neural-structured-learning,2020-08-18 00:35:35.000000,0.0,51734.0,51734.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n413,pyopencl,inducer/pyopencl,,others,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,MIT,2011-04-06 02:51:33.000000,2021-08-16 17:32:00.000000,2021-08-16 17:26:37.000000,213,63.0,225.0,833.0,,\"OpenCL integration for Python, plus shiny features.\",88.0,24,True,2021-06-27 23:38:57.000000,2021.2.5,68.0,pyopencl,conda-forge/pyopencl,,,,785.0,547.0,https://pypi.org/project/pyopencl,2021-07-07 05:35:37.000000,238.0,11721.0,20118.0,https://anaconda.org/conda-forge/pyopencl,2021-07-07 15:54:32.199000,487027.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n414,PySwarms,ljvmiranda921/pyswarms,,others,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45.000000,2021-07-28 15:56:29.000000,2021-06-23 11:19:05.000000,257,16.0,180.0,817.0,409.0,A research toolkit for particle swarm optimization in Python.,43.0,24,True,2021-01-03 21:34:15.000000,1.3.0,20.0,pyswarms,,,,,131.0,131.0,https://pypi.org/project/pyswarms,2021-01-03 21:34:15.000000,0.0,16477.0,16477.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n415,arch,bashtage/arch,,financial-data,https://github.com/bashtage/arch,https://github.com/bashtage/arch,NCSA,2014-08-29 15:41:28.000000,2021-07-22 22:42:37.000000,2021-07-22 22:37:30.000000,182,13.0,142.0,779.0,,ARCH models in Python.,26.0,24,False,2021-07-22 22:40:03.000000,5.0.1,34.0,arch,,,,,397.0,355.0,https://pypi.org/project/arch,2021-07-22 22:40:03.000000,42.0,130194.0,130194.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n416,GPyOpt,SheffieldML/GPyOpt,,hyperopt,https://github.com/SheffieldML/GPyOpt,https://github.com/SheffieldML/GPyOpt,BSD-3-Clause,2014-08-13 09:58:25.000000,2020-11-17 10:32:02.000000,2020-11-05 15:16:04.000000,229,100.0,186.0,755.0,514.0,Gaussian Process Optimization using GPy.,49.0,24,True,2020-03-19 21:21:18.000000,1.2.6,11.0,gpyopt,,,,,243.0,207.0,https://pypi.org/project/gpyopt,2020-03-19 11:37:45.000000,36.0,15629.0,15629.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n417,dask-ml,dask/dask-ml,,distributed-ml,https://github.com/dask/dask-ml,https://github.com/dask/dask-ml,BSD-3-Clause,2017-06-15 15:56:06.000000,2021-08-05 13:50:51.000000,2021-08-05 13:46:12.000000,198,200.0,223.0,739.0,,Scalable Machine Learning with Dask.,66.0,24,True,2021-05-03 13:02:34.000000,1.9.0,28.0,dask-ml,conda-forge/dask-ml,,,,495.0,453.0,https://pypi.org/project/dask-ml,2021-05-03 13:02:34.000000,42.0,48301.0,53416.0,https://anaconda.org/conda-forge/dask-ml,2021-05-03 15:21:05.642000,235330.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n418,pyjanitor,pyjanitor-devs/pyjanitor,,others,https://github.com/pyjanitor-devs/pyjanitor,https://github.com/pyjanitor-devs/pyjanitor,MIT,2018-03-04 22:43:33.000000,2021-08-19 12:50:46.000000,2021-08-19 12:47:12.000000,129,101.0,310.0,714.0,1162.0,Clean APIs for data cleaning. Python implementation of R package Janitor.,92.0,24,True,2021-02-25 17:30:52.000000,0.20.13,50.0,pyjanitor,conda-forge/pyjanitor,,,,108.0,104.0,https://pypi.org/project/pyjanitor,2021-07-16 11:13:33.000000,4.0,10187.0,12595.0,https://anaconda.org/conda-forge/pyjanitor,2021-07-16 13:00:11.949000,98762.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n419,CellProfiler,CellProfiler/CellProfiler,,image,https://github.com/CellProfiler/CellProfiler,https://github.com/CellProfiler/CellProfiler,BSD-3-Clause,2011-04-05 12:10:12.000000,2021-08-18 20:36:13.000000,2021-07-26 18:19:07.000000,288,177.0,2812.0,596.0,15352.0,An open-source application for biological image analysis.,120.0,24,True,2021-07-22 19:01:42.000000,4.2.1,43.0,cellprofiler,,,,,4.0,4.0,https://pypi.org/project/cellprofiler,2017-09-04 18:03:36.000000,,1118.0,1133.0,,,,,,,,3.0,1366.0,,,,,,,,,,,,,,,,,,,,\n420,TensorFlow I/O,tensorflow/io,,tensorflow-utils,https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05.000000,2021-08-16 11:23:15.000000,2021-08-15 17:06:53.000000,178,139.0,302.0,487.0,1485.0,\"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.\",76.0,24,True,2021-08-12 03:38:51.000000,0.20.0,26.0,tensorflow-io,,,,['tensorflow'],0.0,,https://pypi.org/project/tensorflow-io,2021-08-12 03:35:58.000000,0.0,188342.0,188342.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n421,metrics,PyTorchLightning/metrics,,distributed-ml,https://github.com/PyTorchLightning/metrics,https://github.com/PyTorchLightning/metrics,Apache-2.0,2020-12-22 20:02:42.000000,2021-08-19 11:33:28.000000,2021-08-18 10:07:20.000000,82,25.0,132.0,435.0,468.0,\"Machine learning metrics for distributed, scalable PyTorch applications.\",85.0,24,True,2021-08-10 14:22:44.000000,0.5.0,15.0,metrics,,,,['pytorch'],616.0,604.0,https://pypi.org/project/metrics,2018-04-28 10:58:56.000000,12.0,3257.0,3291.0,,,,,,,,3.0,174.0,,,,,,,,,,,,,,,,,,,,\n422,findspark,minrk/findspark,,others,https://github.com/minrk/findspark,https://github.com/minrk/findspark,BSD-3-Clause,2015-06-12 21:34:06.000000,2021-06-14 06:11:28.000000,2021-06-14 06:10:09.000000,66,11.0,9.0,409.0,,Find pyspark to make it importable.,14.0,24,True,2020-06-08 09:32:23.000000,1.4.2,12.0,findspark,conda-forge/findspark,,,['spark'],2099.0,1897.0,https://pypi.org/project/findspark,2020-06-08 09:32:23.000000,202.0,1488148.0,1497299.0,https://anaconda.org/conda-forge/findspark,2018-07-06 12:57:33.438000,567366.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n423,Cornac,PreferredAI/cornac,,recommender-systems,https://github.com/PreferredAI/cornac,https://github.com/PreferredAI/cornac,Apache-2.0,2018-07-17 06:31:35.000000,2021-08-13 06:18:09.000000,2021-08-13 06:18:09.000000,74,2.0,55.0,397.0,1223.0,A Comparative Framework for Multimodal Recommender Systems.,13.0,24,True,2021-07-13 09:51:11.000000,1.13.5,43.0,cornac,conda-forge/cornac,,,,57.0,55.0,https://pypi.org/project/cornac,2021-07-13 10:05:17.000000,2.0,5827.0,12082.0,https://anaconda.org/conda-forge/cornac,2021-07-13 13:03:31.017000,168892.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n424,sklearn-crfsuite,TeamHG-Memex/sklearn-crfsuite,,sklearn-utils,https://github.com/TeamHG-Memex/sklearn-crfsuite,https://github.com/TeamHG-Memex/sklearn-crfsuite,MIT,2015-11-26 21:15:41.000000,2020-12-30 08:00:27.000000,2019-12-05 08:17:22.000000,158,33.0,23.0,374.0,46.0,scikit-learn inspired API for CRFsuite.,6.0,24,False,2017-06-22 18:49:27.000000,0.3.6,9.0,sklearn-crfsuite,,,,['sklearn'],3406.0,3010.0,https://pypi.org/project/sklearn-crfsuite,2017-06-22 18:49:27.000000,396.0,90521.0,90521.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n425,pyvips,libvips/pyvips,,image,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000000,2021-07-26 12:59:52.000000,2021-07-26 12:59:40.000000,30,85.0,157.0,346.0,399.0,python binding for libvips using cffi.,11.0,24,True,2021-06-28 10:56:34.000000,2.1.15,21.0,pyvips,conda-forge/pyvips,,,,234.0,212.0,https://pypi.org/project/pyvips,2021-06-28 10:56:34.000000,22.0,12585.0,13039.0,https://anaconda.org/conda-forge/pyvips,2021-06-28 13:47:18.054000,10918.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n426,datalad,datalad/datalad,,others,https://github.com/datalad/datalad,https://github.com/datalad/datalad,MIT,2013-11-01 19:40:08.000000,2021-08-19 15:24:11.000000,2021-08-19 12:55:33.000000,81,722.0,2447.0,253.0,14265.0,\"Keep code, data, containers under control with git and git-annex.\",42.0,24,False,2021-08-03 17:26:48.000000,0.14.7,71.0,datalad,conda-forge/datalad,,,,26.0,,https://pypi.org/project/datalad,2021-08-03 17:27:04.000000,26.0,4268.0,7995.0,https://anaconda.org/conda-forge/datalad,2021-08-05 22:44:39.328000,152813.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n427,Orion,Epistimio/orion,,hyperopt,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21.000000,2021-08-17 09:22:55.000000,2021-07-29 20:15:30.000000,41,45.0,124.0,195.0,2859.0,Asynchronous Distributed Hyperparameter Optimization.,23.0,24,False,2021-05-19 20:08:31.000000,0.1.15,16.0,orion,,,,,50.0,42.0,https://pypi.org/project/orion,2021-05-19 20:08:31.000000,8.0,2038.0,2038.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n428,cortex,cortexlabs/cortex,,model-serialisation,https://github.com/cortexlabs/cortex,https://github.com/cortexlabs/cortex,Apache-2.0,2019-01-24 04:43:14.000000,2021-08-05 04:33:35.000000,2021-08-05 04:24:57.000000,574,99.0,968.0,7577.0,2272.0,Containers as a service on AWS.,21.0,23,True,2021-08-05 04:33:35.000000,0.40.0,60.0,cortex,,,,,0.0,,https://pypi.org/project/cortex,2021-08-05 04:27:22.000000,0.0,1659.0,1659.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n429,Apex,NVIDIA/apex,,gpu-utilities,https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000000,2021-07-17 00:53:59.000000,2021-07-17 00:53:59.000000,784,494.0,383.0,5630.0,848.0,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,83.0,23,True,,,1.0,,conda-forge/nvidia-apex,,,['pytorch'],676.0,676.0,,,,,2700.0,https://anaconda.org/conda-forge/nvidia-apex,2021-04-22 16:13:47.237000,59418.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n430,snownlp,isnowfy/snownlp,,chinese-nlp,https://github.com/isnowfy/snownlp,https://github.com/isnowfy/snownlp,MIT,2013-11-26 11:46:56.000000,2020-01-19 02:39:05.000000,2020-01-19 02:39:03.000000,1276,37.0,65.0,5525.0,57.0,Python library for processing Chinese text.,8.0,23,False,2015-09-27 16:35:23.000000,0.12.3,17.0,snownlp,,,,,739.0,663.0,https://pypi.org/project/snownlp,2015-09-27 16:35:23.000000,76.0,3473.0,3473.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n431,neon,NervanaSystems/neon,,ml-frameworks,https://github.com/NervanaSystems/neon,https://github.com/NervanaSystems/neon,Apache-2.0,2014-10-16 01:00:17.000000,2020-12-23 01:21:42.000000,2019-05-22 18:27:54.000000,848,87.0,306.0,3854.0,1118.0,Intel Nervana reference deep learning framework committed to best performance on all hardware.,109.0,23,False,2018-01-05 23:25:04.000000,2.6.0,32.0,nervananeon,,,,,49.0,48.0,https://pypi.org/project/nervananeon,2018-01-05 23:25:04.000000,1.0,188.0,192.0,,,,,,,,3.0,317.0,,,,,,,,,,,,,,,,,,,,\n432,Snips NLU,snipsco/snips-nlu,,nlp,https://github.com/snipsco/snips-nlu,https://github.com/snipsco/snips-nlu,Apache-2.0,2017-02-08 16:16:36.000000,2021-05-03 12:18:32.000000,2021-05-03 12:18:31.000000,476,53.0,196.0,3535.0,2154.0,Snips Python library to extract meaning from text.,22.0,23,True,2020-01-15 10:13:17.000000,0.20.2,58.0,snips-nlu,,,,,16.0,,https://pypi.org/project/snips-nlu,2020-01-15 10:13:17.000000,16.0,3613.0,3613.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n433,MatchZoo,NTMC-Community/MatchZoo,,nlp,https://github.com/NTMC-Community/MatchZoo,https://github.com/NTMC-Community/MatchZoo,Apache-2.0,2017-06-08 08:55:22.000000,2021-06-03 02:58:49.000000,2021-06-02 17:38:16.000000,887,28.0,429.0,3491.0,1810.0,\"Facilitating the design, comparison and sharing of deep text matching models.\",36.0,23,True,2019-10-24 13:09:11.000000,2.2.0,5.0,matchzoo,,,,['tensorflow'],10.0,10.0,https://pypi.org/project/matchzoo,2019-10-24 13:09:11.000000,,253.0,253.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n434,TensorTrade,tensortrade-org/tensortrade,,financial-data,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32.000000,2021-06-19 21:14:44.000000,2021-06-19 21:14:43.000000,784,21.0,154.0,3386.0,902.0,\"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.\",53.0,23,True,2021-05-10 18:04:30.000000,1.0.3,27.0,tensortrade,,,,,22.0,21.0,https://pypi.org/project/tensortrade,2021-05-10 18:00:35.000000,1.0,926.0,926.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n435,yellowbrick,DistrictDataLabs/yellowbrick,,interpretability,https://github.com/DistrictDataLabs/yellowbrick,https://github.com/DistrictDataLabs/yellowbrick,Apache-2.0,2016-05-18 14:12:17.000000,2021-07-13 11:59:04.000000,2021-07-12 16:25:52.000000,480,95.0,543.0,3325.0,,Visual analysis and diagnostic tools to facilitate machine learning model selection.,100.0,23,True,2021-02-13 20:31:18.000000,1.3.post1,22.0,yellowbrick,,,,['sklearn'],62.0,,https://pypi.org/project/yellowbrick,2021-02-13 20:42:26.000000,62.0,223545.0,223545.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n436,TRFL,deepmind/trfl,,reinforcement-learning,https://github.com/deepmind/trfl,https://github.com/deepmind/trfl,Apache-2.0,2018-08-08 14:44:11.000000,2021-08-16 12:19:16.000000,2021-08-16 11:45:18.000000,372,6.0,16.0,3077.0,123.0,TensorFlow Reinforcement Learning.,13.0,23,True,2021-08-16 12:19:16.000000,1.2.0,5.0,trfl,,,,['tensorflow'],62.0,58.0,https://pypi.org/project/trfl,2021-08-16 12:19:16.000000,4.0,4126.0,4126.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n437,Image Super-Resolution,idealo/image-super-resolution,,image,https://github.com/idealo/image-super-resolution,https://github.com/idealo/image-super-resolution,Apache-2.0,2018-11-26 13:41:13.000000,2021-06-02 09:48:09.000000,2021-06-02 09:45:13.000000,547,76.0,107.0,2990.0,150.0,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,10.0,23,True,2020-01-08 15:37:35.000000,2.2.0,11.0,ISR,,idealo/image-super-resolution-gpu,,['tensorflow'],67.0,59.0,https://pypi.org/project/ISR,2020-01-08 15:37:35.000000,8.0,4374.0,4378.0,,,,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,,156.0,3.0,,,,,,,,,,,,,,,,,,,,,\n438,Chartify,spotify/chartify,,data-viz,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05.000000,2021-03-20 11:20:12.000000,2021-02-05 18:49:02.000000,259,40.0,30.0,2955.0,195.0,Python library that makes it easy for data scientists to create charts.,21.0,23,True,2020-11-02 22:14:08.000000,3.0.3,16.0,chartify,conda-forge/chartify,,,,61.0,56.0,https://pypi.org/project/chartify,2020-11-02 22:14:08.000000,5.0,1818.0,2284.0,https://anaconda.org/conda-forge/chartify,2020-11-07 19:52:50.628000,15394.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n439,SHOGUN,shogun-toolbox/shogun,,ml-frameworks,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32.000000,2021-07-19 16:40:30.000000,2020-12-08 16:56:38.000000,1049,462.0,1092.0,2839.0,16205.0,Unified and efficient Machine Learning.,248.0,23,True,2019-07-05 10:23:31.000000,shogun_6.1.4,10.0,,conda-forge/shogun,shogun/shogun,,,,,,,,,2164.0,https://anaconda.org/conda-forge/shogun,2018-06-25 20:49:17.070000,105515.0,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1464.0,3.0,,,,,,,,,,shogun,,,,,,,,,,,\n440,tensorflow-graphics,tensorflow/graphics,,image,https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44.000000,2021-08-12 15:27:23.000000,2021-08-11 13:39:09.000000,301,121.0,85.0,2499.0,721.0,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,34.0,23,True,2021-08-06 02:12:18.000000,2021.8.6,22.0,tensorflow-graphics,,,,['tensorflow'],6.0,,https://pypi.org/project/tensorflow-graphics,2021-08-06 02:12:18.000000,6.0,4511.0,4511.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n441,scikit-opt,guofei9987/scikit-opt,,sklearn-utils,https://github.com/guofei9987/scikit-opt,https://github.com/guofei9987/scikit-opt,MIT,2017-12-05 10:20:41.000000,2021-08-10 02:16:44.000000,2021-08-10 02:16:44.000000,578,21.0,92.0,2455.0,294.0,\"Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune..\",13.0,23,True,2021-06-28 12:45:52.000000,0.6.5,22.0,scikit-opt,,,,['sklearn'],43.0,40.0,https://pypi.org/project/scikit-opt,2021-06-28 12:36:56.000000,3.0,1022.0,1022.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n442,ART,Trusted-AI/adversarial-robustness-toolbox,,adversarial,https://github.com/Trusted-AI/adversarial-robustness-toolbox,https://github.com/Trusted-AI/adversarial-robustness-toolbox,MIT,2018-03-15 14:40:43.000000,2021-08-18 08:19:15.000000,2021-08-09 16:24:30.000000,675,64.0,502.0,2411.0,,\"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..\",81.0,23,True,2021-07-12 12:12:56.000000,1.7.1,33.0,adversarial-robustness-toolbox,,,,,145.0,145.0,https://pypi.org/project/adversarial-robustness-toolbox,2021-07-12 11:31:04.000000,0.0,3967.0,3967.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n443,Arctic,man-group/arctic,,data-containers,https://github.com/man-group/arctic,https://github.com/man-group/arctic,LGPL-2.1,2015-05-29 13:37:30.000000,2021-07-23 15:29:07.000000,2021-07-23 15:29:07.000000,462,86.0,439.0,2370.0,1079.0,Arctic is a high performance datastore for numeric data.,71.0,23,True,2020-12-01 23:17:26.000000,1.79.4,83.0,arctic,conda-forge/arctic,,,,172.0,130.0,https://pypi.org/project/arctic,2020-12-01 23:16:12.000000,42.0,5263.0,5823.0,https://anaconda.org/conda-forge/arctic,2019-12-16 08:57:24.231000,15086.0,,,,,3.0,159.0,,,,,,,,,,,,,,,,,,,,\n444,analytics-zoo,intel-analytics/analytics-zoo,,distributed-ml,https://github.com/intel-analytics/analytics-zoo,https://github.com/intel-analytics/analytics-zoo,Apache-2.0,2017-05-05 02:27:30.000000,2021-08-19 12:28:36.000000,2021-08-19 09:31:26.000000,679,562.0,754.0,2356.0,3255.0,\"Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray.\",104.0,23,True,2021-07-19 00:31:21.000000,0.11.0,95.0,analytics-zoo,,,,['spark'],2.0,2.0,https://pypi.org/project/analytics-zoo,2021-08-15 16:19:08.000000,,1795.0,1795.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n445,PandasGUI,adamerose/pandasgui,,data-viz,https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT,2019-06-12 02:19:42.000000,2021-08-14 09:16:41.000000,2021-08-14 09:13:38.000000,141,26.0,104.0,2330.0,703.0,A GUI for Pandas DataFrames.,9.0,23,True,2021-08-14 09:14:51.000000,0.2.13,43.0,pandasgui,,,,['pandas'],92.0,90.0,https://pypi.org/project/pandasgui,2021-08-14 09:14:51.000000,2.0,6997.0,6997.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n446,PaddleSeg,PaddlePaddle/PaddleSeg,,image,https://github.com/PaddlePaddle/PaddleSeg,https://github.com/PaddlePaddle/PaddleSeg,Apache-2.0,2019-08-26 02:32:22.000000,2021-08-19 14:53:42.000000,2021-08-19 07:09:42.000000,516,323.0,279.0,2271.0,,End-to-end image segmentation kit based on PaddlePaddle.,53.0,23,True,2021-07-13 13:07:18.000000,2.2.0,12.0,paddleseg,,,,['paddle'],272.0,272.0,https://pypi.org/project/paddleseg,2021-07-13 13:05:34.000000,0.0,508.0,508.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n447,Enigma Catalyst,enigmampc/catalyst,,financial-data,https://github.com/enigmampc/catalyst,https://github.com/enigmampc/catalyst,Apache-2.0,2017-06-13 22:31:34.000000,2021-01-05 19:10:30.000000,2020-12-28 10:58:58.000000,645,135.0,356.0,2263.0,6362.0,An Algorithmic Trading Library for Crypto-Assets in Python.,145.0,23,True,2018-11-11 16:46:28.000000,0.5.21,52.0,enigma-catalyst,,,,,25.0,23.0,https://pypi.org/project/enigma-catalyst,2018-11-11 16:46:28.000000,2.0,1876.0,1876.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n448,fastNLP,fastnlp/fastNLP,,nlp,https://github.com/fastnlp/fastNLP,https://github.com/fastnlp/fastNLP,Apache-2.0,2018-03-07 13:30:20.000000,2021-07-13 05:14:00.000000,2021-07-13 05:14:00.000000,378,22.0,138.0,2254.0,1743.0,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,50.0,23,True,2020-11-06 15:31:29.000000,0.6.0,10.0,fastnlp,,,,,41.0,40.0,https://pypi.org/project/fastnlp,2019-02-04 02:35:37.000000,1.0,967.0,968.0,,,,,,,,3.0,63.0,,,,,,,,,,,,,,,,,,,,\n449,knockknock,huggingface/knockknock,,ml-experiments,https://github.com/huggingface/knockknock,https://github.com/huggingface/knockknock,MIT,2019-03-20 13:08:55.000000,2021-07-18 15:25:50.000000,2020-03-16 04:26:47.000000,180,14.0,21.0,2212.0,75.0,Knock Knock: Get notified when your training ends with only two additional lines of code.,18.0,23,False,2020-03-04 04:15:47.000000,0.1.8,10.0,knockknock,conda-forge/knockknock,,,,201.0,198.0,https://pypi.org/project/knockknock,2020-03-16 14:30:23.000000,3.0,1566.0,1902.0,https://anaconda.org/conda-forge/knockknock,2020-03-17 01:52:16.317000,7405.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n450,GluonTS,awslabs/gluon-ts,,time-series-data,https://github.com/awslabs/gluon-ts,https://github.com/awslabs/gluon-ts,Apache-2.0,2019-05-15 17:17:29.000000,2021-08-19 14:11:58.000000,2021-08-19 14:11:58.000000,437,222.0,412.0,2068.0,773.0,Probabilistic time series modeling in Python.,77.0,23,True,2021-08-12 10:05:38.000000,0.8.1,42.0,gluonts,,,,['mxnet'],0.0,,https://pypi.org/project/gluonts,2021-08-12 10:05:38.000000,0.0,47667.0,47667.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n451,textacy,chartbeat-labs/textacy,,nlp,https://github.com/chartbeat-labs/textacy,https://github.com/chartbeat-labs/textacy,Apache-2.0,2016-02-03 16:52:45.000000,2021-05-31 17:18:30.000000,2021-05-31 16:43:05.000000,226,30.0,210.0,1728.0,,\"NLP, before and after spaCy.\",31.0,23,True,2021-04-12 15:49:48.000000,0.11.0,30.0,textacy,conda-forge/textacy,,,,154.0,,https://pypi.org/project/textacy,2021-04-12 15:49:48.000000,154.0,35795.0,37680.0,https://anaconda.org/conda-forge/textacy,2021-04-13 18:57:20.207000,96177.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n452,Pandaral·lel,nalepae/pandarallel,,data-containers,https://github.com/nalepae/pandarallel,https://github.com/nalepae/pandarallel,BSD-3-Clause,2019-03-10 11:58:29.000000,2021-05-06 18:57:22.000000,2021-02-04 21:27:26.000000,116,77.0,58.0,1700.0,114.0,A simple and efficient tool to parallelize Pandas operations on all availableCPUs.,14.0,23,True,2021-02-04 21:35:01.000000,1.5.2,29.0,pandarallel,,,,\"['pandas', 'jupyter']\",273.0,273.0,https://pypi.org/project/pandarallel,2021-02-04 21:35:01.000000,0.0,186547.0,186547.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n453,Multicore-TSNE,DmitryUlyanov/Multicore-TSNE,,data-viz,https://github.com/DmitryUlyanov/Multicore-TSNE,https://github.com/DmitryUlyanov/Multicore-TSNE,BSD-3-Clause,2016-10-19 05:46:52.000000,2021-06-03 12:17:47.000000,2020-08-19 14:58:00.000000,200,37.0,20.0,1610.0,113.0,Parallel t-SNE implementation with Python and Torch wrappers.,15.0,23,True,2017-11-08 13:32:20.000000,0.0.1,3.0,MulticoreTSNE,conda-forge/multicore-tsne,,,['pytorch'],272.0,244.0,https://pypi.org/project/MulticoreTSNE,2019-01-09 07:23:04.000000,28.0,4316.0,4602.0,https://anaconda.org/conda-forge/multicore-tsne,2021-04-23 10:26:30.160000,9461.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n454,PyTextRank,DerwenAI/pytextrank,,nlp,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000000,2021-08-10 22:06:09.000000,2021-07-25 06:03:11.000000,307,19.0,56.0,1597.0,,Python implementation of TextRank for phrase extraction and summarization of text documents.,15.0,23,True,2021-07-24 20:28:32.000000,3.2.1,17.0,pytextrank,,,,,188.0,176.0,https://pypi.org/project/pytextrank,2021-07-24 20:28:32.000000,12.0,13814.0,13814.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n455,TensorFlow Privacy,tensorflow/privacy,,privacy-ml,https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000000,2021-08-12 20:39:02.000000,2021-08-12 20:39:00.000000,318,60.0,81.0,1468.0,509.0,Library for training machine learning models with privacy for training data.,41.0,23,True,2021-08-10 20:05:28.000000,0.7.0,15.0,tensorflow-privacy,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow-privacy,2021-08-11 17:45:56.000000,2.0,15622.0,15623.0,,,,,,,,2.0,46.0,,,,,,,,,,,,,,,,,,,,\n456,checklist,marcotcr/checklist,,interpretability,https://github.com/marcotcr/checklist,https://github.com/marcotcr/checklist,MIT,2020-03-09 17:18:49.000000,2021-08-12 09:48:35.000000,2021-08-09 21:14:13.000000,131,8.0,71.0,1455.0,230.0,Beyond Accuracy: Behavioral Testing of NLP models with CheckList.,10.0,23,True,2021-05-24 16:45:59.000000,0.0.11,10.0,checklist,,,,['jupyter'],19.0,17.0,https://pypi.org/project/checklist,2021-05-24 16:45:59.000000,2.0,15289.0,15289.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n457,bonobo,python-bonobo/bonobo,,data-pipelines,https://github.com/python-bonobo/bonobo,https://github.com/python-bonobo/bonobo,Apache-2.0,2016-12-09 04:03:23.000000,2021-06-01 22:24:45.000000,2021-03-10 15:44:00.000000,119,69.0,108.0,1452.0,978.0,Extract Transform Load for Python 3.5+.,37.0,23,True,2019-05-16 13:19:48.000000,0.6.4,38.0,bonobo,,,http://docs.bonobo-project.org/en/master/,,174.0,122.0,https://pypi.org/project/bonobo,2019-07-20 13:33:19.000000,52.0,5697.0,5697.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n458,Torch Points 3D,nicolas-chaulet/torch-points3d,,image,https://github.com/nicolas-chaulet/torch-points3d,https://github.com/nicolas-chaulet/torch-points3d,BSD-3-Clause,2019-12-06 11:33:34.000000,2021-08-02 16:21:44.000000,2021-08-02 14:53:46.000000,220,71.0,197.0,1406.0,1718.0,Pytorch framework for doing deep learning on point clouds.,26.0,23,True,2021-04-30 09:00:22.000000,1.3.0,14.0,torch-points3d,,,,['pytorch'],3.0,3.0,https://pypi.org/project/torch-points3d,2021-04-30 09:00:22.000000,,799.0,799.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n459,EfficientNets,rwightman/gen-efficientnet-pytorch,,pytorch-utils,https://github.com/rwightman/gen-efficientnet-pytorch,https://github.com/rwightman/gen-efficientnet-pytorch,Apache-2.0,2019-05-11 19:35:56.000000,2021-07-08 19:05:05.000000,2021-07-08 19:03:55.000000,185,1.0,48.0,1370.0,108.0,\"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.\",5.0,23,True,2021-07-08 19:05:05.000000,1.0.2,10.0,geffnet,,,,['pytorch'],68.0,68.0,https://pypi.org/project/geffnet,2021-07-08 19:05:05.000000,0.0,5866.0,5866.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n460,modAL,modAL-python/modAL,,others,https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000000,2021-08-08 11:58:47.000000,2021-01-07 09:40:40.000000,211,59.0,52.0,1359.0,648.0,A modular active learning framework for Python.,14.0,23,True,2021-01-07 09:47:49.000000,0.4.1,12.0,modAL,,,,['sklearn'],103.0,95.0,https://pypi.org/project/modAL,2021-01-07 09:47:49.000000,8.0,2976.0,2976.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,,,\n461,TNT,pytorch/tnt,,ml-experiments,https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58.000000,2021-01-22 09:14:29.000000,2021-01-05 19:36:17.000000,187,30.0,35.0,1331.0,156.0,\"Simple tools for logging and visualizing, loading and training.\",35.0,23,True,2019-11-15 12:57:59.000000,0.0.5.1,3.0,torchnet,,,,['pytorch'],50.0,,https://pypi.org/project/torchnet,2018-07-29 23:16:03.000000,50.0,14473.0,14473.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n462,FARM,deepset-ai/FARM,,nlp,https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12.000000,2021-08-18 17:39:06.000000,2021-08-18 17:39:06.000000,192,38.0,366.0,1284.0,587.0,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,35.0,23,True,2021-06-10 09:45:12.000000,0.8.0,24.0,farm,,,,['pytorch'],2.0,,https://pypi.org/project/farm,2021-06-10 09:41:53.000000,2.0,15380.0,15380.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n463,metric-learn,scikit-learn-contrib/metric-learn,,others,https://github.com/scikit-learn-contrib/metric-learn,https://github.com/scikit-learn-contrib/metric-learn,MIT,2013-11-02 08:29:47.000000,2021-05-23 21:08:50.000000,2021-04-26 08:27:27.000000,216,52.0,111.0,1154.0,266.0,Metric learning algorithms in Python.,19.0,23,True,2020-07-02 12:59:23.000000,0.6.2,10.0,metric-learn,,,,['sklearn'],181.0,163.0,https://pypi.org/project/metric-learn,2020-07-02 12:59:23.000000,18.0,50163.0,50163.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n464,tensorly,tensorly/tensorly,,others,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52.000000,2021-08-16 18:57:16.000000,2021-08-16 18:57:16.000000,207,35.0,114.0,1069.0,,TensorLy: Tensor Learning in Python.,46.0,23,True,2021-04-15 15:01:47.000000,0.5.1,17.0,tensorly,conda-forge/tensorly,,,,183.0,163.0,https://pypi.org/project/tensorly,2021-04-14 11:18:01.000000,20.0,5373.0,9454.0,https://anaconda.org/conda-forge/tensorly,2020-12-07 22:44:30.386000,159159.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n465,ogb,snap-stanford/ogb,,graph,https://github.com/snap-stanford/ogb,https://github.com/snap-stanford/ogb,MIT,2019-11-22 22:13:57.000000,2021-07-17 17:34:02.000000,2021-06-22 03:31:02.000000,211,1.0,156.0,1045.0,532.0,\"Benchmark datasets, data loaders, and evaluators for graph machine learning.\",15.0,23,True,2021-04-07 08:44:37.000000,1.3.1,14.0,ogb,,,,,139.0,139.0,https://pypi.org/project/ogb,2021-04-07 08:44:37.000000,0.0,7382.0,7382.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n466,ChainerRL,chainer/chainerrl,,reinforcement-learning,https://github.com/chainer/chainerrl,https://github.com/chainer/chainerrl,MIT,2017-01-30 04:58:15.000000,2021-08-10 18:25:48.000000,2021-04-17 06:02:30.000000,208,75.0,147.0,978.0,3471.0,ChainerRL is a deep reinforcement learning library built on top of Chainer.,29.0,23,True,2020-02-14 05:35:56.000000,0.8.0,10.0,chainerrl,,,,,117.0,103.0,https://pypi.org/project/chainerrl,2020-02-14 05:35:56.000000,14.0,429.0,429.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n467,keract,philipperemy/keract,,interpretability,https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57.000000,2021-07-28 09:17:30.000000,2021-07-28 09:17:30.000000,181,1.0,81.0,913.0,382.0,Layers Outputs and Gradients in Keras. Made easy.,16.0,23,True,2021-06-19 16:14:57.000000,4.5.0,38.0,keract,,,,['tensorflow'],99.0,94.0,https://pypi.org/project/keract,2021-06-19 16:14:15.000000,5.0,1631.0,1631.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n468,arq,samuelcolvin/arq,,data-pipelines,https://github.com/samuelcolvin/arq,https://github.com/samuelcolvin/arq,MIT,2016-07-21 18:24:42.000000,2021-08-16 07:52:11.000000,2021-07-06 11:20:03.000000,74,26.0,86.0,896.0,309.0,Fast job queuing and RPC in python with asyncio and redis.,28.0,23,True,2021-07-06 11:22:17.000000,0.21,53.0,arq,,,,,75.0,67.0,https://pypi.org/project/arq,2021-07-06 11:24:00.000000,8.0,15948.0,15948.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n469,scikit-cuda,lebedov/scikit-cuda,,gpu-utilities,https://github.com/lebedov/scikit-cuda,https://github.com/lebedov/scikit-cuda,BSD-3-Clause,2010-09-27 02:02:07.000000,2021-07-13 12:58:06.000000,2021-07-13 12:58:06.000000,163,46.0,165.0,849.0,1032.0,Python interface to GPU-powered libraries.,45.0,23,True,2019-05-27 00:29:00.000000,0.5.3,7.0,scikit-cuda,,,,,204.0,134.0,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00.000000,70.0,1019.0,1019.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n470,stockstats,jealous/stockstats,,financial-data,https://github.com/jealous/stockstats,https://github.com/jealous/stockstats,BSD-3-Clause,2016-06-05 15:21:22.000000,2021-08-03 02:23:19.000000,2021-08-03 02:23:19.000000,227,33.0,33.0,831.0,26.0,Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.,8.0,23,True,2020-10-17 11:10:43.000000,0.3.2,14.0,stockstats,,,,,347.0,299.0,https://pypi.org/project/stockstats,2020-10-17 11:10:43.000000,48.0,23211.0,23211.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n471,kapre,keunwoochoi/kapre,,audio,https://github.com/keunwoochoi/kapre,https://github.com/keunwoochoi/kapre,MIT,2016-12-14 18:36:36.000000,2021-07-27 23:33:59.000000,2021-03-25 21:02:44.000000,130,9.0,80.0,762.0,190.0,kapre: Keras Audio Preprocessors.,13.0,23,True,2021-03-18 22:14:02.000000,Kapre-0.3.5,21.0,kapre,,,,['tensorflow'],1018.0,996.0,https://pypi.org/project/kapre,2020-09-29 18:49:13.000000,22.0,2159.0,2159.0,,,,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,,,\n472,Node2Vec,eliorc/node2vec,,graph,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000000,2021-04-16 07:45:36.000000,2021-04-16 07:42:56.000000,175,3.0,64.0,753.0,56.0,Implementation of the node2vec algorithm.,8.0,23,True,2021-04-16 07:45:36.000000,0.4.3,14.0,node2vec,conda-forge/node2vec,,,,191.0,181.0,https://pypi.org/project/node2vec,2021-04-02 06:33:26.000000,10.0,7987.0,8466.0,https://anaconda.org/conda-forge/node2vec,2020-04-25 22:41:13.714000,18692.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n473,GPUtil,anderskm/gputil,,gpu-utilities,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43.000000,2020-10-01 05:42:49.000000,2019-08-16 09:00:15.000000,84,11.0,14.0,753.0,140.0,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,13.0,23,False,2018-12-18 09:12:13.000000,1.4.0,8.0,gputil,,,,,1460.0,1358.0,https://pypi.org/project/gputil,2018-12-18 09:12:13.000000,102.0,144563.0,144563.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n474,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,,data-viz,https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14.000000,2021-05-10 08:15:20.000000,2021-05-10 08:14:09.000000,86,23.0,64.0,707.0,289.0,Bokeh Plotting Backend for Pandas and GeoPandas.,12.0,23,True,2021-04-11 17:43:13.000000,0.5.5,16.0,pandas-bokeh,,,,['pandas'],219.0,209.0,https://pypi.org/project/pandas-bokeh,2021-04-11 17:43:13.000000,10.0,9097.0,9097.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n475,NeuPy,itdxer/neupy,,ml-frameworks,https://github.com/itdxer/neupy,https://github.com/itdxer/neupy,MIT,2015-08-24 19:45:11.000000,2021-06-08 20:04:22.000000,2019-09-02 19:02:38.000000,149,28.0,234.0,689.0,1145.0,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,7.0,23,False,2019-04-04 19:44:59.000000,0.8.2,34.0,neupy,,,,,125.0,114.0,https://pypi.org/project/neupy,2019-04-04 19:43:06.000000,11.0,1514.0,1514.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n476,scikit-multilearn,scikit-multilearn/scikit-multilearn,,sklearn-utils,https://github.com/scikit-multilearn/scikit-multilearn,https://github.com/scikit-multilearn/scikit-multilearn,BSD-2-Clause,2014-04-30 13:05:44.000000,2020-06-30 10:19:46.000000,2019-05-21 11:29:06.000000,123,66.0,93.0,669.0,487.0,A scikit-learn based module for multi-label et. al. classification.,15.0,23,False,2018-12-10 16:24:47.000000,0.2.0,6.0,scikit-multilearn,,,,['sklearn'],535.0,513.0,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47.000000,22.0,79864.0,79864.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n477,Sentinelsat,sentinelsat/sentinelsat,,geospatial-data,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26.000000,2021-08-17 06:54:09.000000,2021-08-15 18:46:07.000000,183,11.0,291.0,647.0,,Search and download Copernicus Sentinel satellite images.,41.0,23,False,2021-05-25 11:28:50.000000,1.0.1,38.0,sentinelsat,,,,,264.0,220.0,https://pypi.org/project/sentinelsat,2021-05-25 11:28:50.000000,44.0,19683.0,19686.0,,,,,,,,3.0,223.0,,,,,,,,,,,,,,,,,,,,\n478,python-ternary,marcharper/python-ternary,,data-viz,https://github.com/marcharper/python-ternary,https://github.com/marcharper/python-ternary,MIT,2012-08-07 23:48:55.000000,2021-08-18 21:45:34.000000,2021-08-18 21:45:34.000000,117,24.0,88.0,450.0,391.0,Ternary plotting library for python with matplotlib.,27.0,23,True,2021-02-17 18:38:15.000000,1.0.8,11.0,python-ternary,conda-forge/python-ternary,,,,86.0,66.0,https://pypi.org/project/python-ternary,2021-02-17 18:38:15.000000,20.0,16598.0,17497.0,https://anaconda.org/conda-forge/python-ternary,2021-02-17 22:38:55.625000,57547.0,,,,,3.0,17.0,,,,,,,,,,,,,,,,,,,,\n479,vega,vega/ipyvega,,data-viz,https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000000,2021-08-11 21:51:27.565000,2021-08-02 08:17:20.000000,46,11.0,80.0,311.0,521.0,IPython/Jupyter notebook module for Vega and Vega-Lite.,10.0,23,True,2021-06-03 20:52:09.000000,3.5.0,38.0,vega,conda-forge/vega,,,['jupyter'],148.0,,https://pypi.org/project/vega,2021-06-03 20:52:09.000000,148.0,26425.0,33685.0,https://anaconda.org/conda-forge/vega,2021-08-11 21:51:27.565000,450179.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n480,NIPY,nipy/nipy,,medical-data,https://github.com/nipy/nipy,https://github.com/nipy/nipy,BSD-3-Clause,2010-05-02 10:00:33.000000,2021-06-20 21:19:21.000000,2021-03-29 16:56:48.000000,123,43.0,110.0,301.0,6427.0,Neuroimaging in Python FMRI analysis package.,63.0,23,True,2018-02-19 14:14:08.000000,0.4.2,6.0,nipy,conda-forge/nipy,,,,82.0,,https://pypi.org/project/nipy,2018-02-19 14:14:08.000000,82.0,1884.0,3635.0,https://anaconda.org/conda-forge/nipy,2020-05-04 19:38:04.112000,85817.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n481,py3nvml,fbcotter/py3nvml,,gpu-utilities,https://github.com/fbcotter/py3nvml,https://github.com/fbcotter/py3nvml,BSD-3-Clause,2016-11-21 01:07:37.000000,2021-07-07 09:10:57.000000,2021-07-07 09:10:57.000000,24,1.0,10.0,185.0,81.0,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,7.0,23,False,2020-04-06 16:02:10.000000,0.2.6,13.0,py3nvml,conda-forge/py3nvml,,,,330.0,310.0,https://pypi.org/project/py3nvml,2020-04-06 16:02:10.000000,20.0,124715.0,125820.0,https://anaconda.org/conda-forge/py3nvml,2020-10-10 10:41:08.987000,20997.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n482,PyStan,stan-dev/pystan,,probabilistics,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,ISC,2017-03-06 19:56:42.094000,2021-07-29 15:13:30.000000,2021-06-03 10:18:34.000000,23,12.0,141.0,105.0,,\"PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io.\",8.0,23,False,2021-06-03 10:17:59.000000,3.2.0,64.0,pystan,conda-forge/pystan,,,,342.0,,https://pypi.org/project/pystan,2021-06-03 10:17:59.000000,342.0,1470061.0,1492194.0,https://anaconda.org/conda-forge/pystan,2021-05-12 13:39:30.313000,1173082.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n483,mmdnn,Microsoft/MMdnn,,model-serialisation,https://github.com/microsoft/MMdnn,https://github.com/microsoft/MMdnn,MIT,2017-08-16 08:03:52.000000,2021-03-01 14:17:24.000000,2020-08-14 02:32:30.000000,942,317.0,287.0,5412.0,1083.0,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,85.0,22,True,2020-07-24 06:34:39.000000,0.3.1,12.0,mmdnn,,,,,68.0,65.0,https://pypi.org/project/mmdnn,2020-07-24 06:34:39.000000,3.0,748.0,824.0,,,,,,,,2.0,3433.0,,,,,,,,,,,,,,,,,,,,\n484,PyTorch3D,facebookresearch/pytorch3d,,image,https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,,2019-10-25 02:23:45.000000,2021-08-17 15:07:57.000000,2021-08-17 15:07:55.000000,643,54.0,636.0,5100.0,,PyTorch3D is FAIR's library of reusable components for deep learning with 3D data.,65.0,22,False,2021-08-05 14:51:34.000000,0.5.0,8.0,pytorch3d,pytorch3d/pytorch3d,,,['pytorch'],99.0,99.0,https://pypi.org/project/pytorch3d,2021-08-05 14:36:30.000000,0.0,8662.0,9338.0,https://anaconda.org/pytorch3d/pytorch3d,2021-08-05 14:36:29.439000,14209.0,,,,,3.0,,-4.0,,,,,,,,,,,,,,,,,,,\n485,deep-daze,lucidrains/deep-daze,,image,https://github.com/lucidrains/deep-daze,https://github.com/lucidrains/deep-daze,MIT,2021-01-17 06:00:50.000000,2021-07-04 20:22:19.000000,2021-07-04 20:22:19.000000,242,68.0,65.0,3633.0,,Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation..,12.0,22,True,2021-04-08 01:08:57.000000,0.10.2,64.0,deep-daze,,,,,23.0,23.0,https://pypi.org/project/deep-daze,2021-04-07 18:15:40.000000,,16529.0,16529.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n486,ArrayFire,arrayfire/arrayfire,,gpu-utilities,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000000,2021-08-18 21:15:05.000000,2021-08-18 07:09:46.000000,475,239.0,1247.0,3579.0,5767.0,ArrayFire: a general purpose GPU library.,82.0,22,True,2021-01-08 21:41:09.000000,3.8.0,30.0,arrayfire,,,,,8.0,,https://pypi.org/project/arrayfire,2021-03-05 17:36:30.000000,8.0,659.0,678.0,,,,,,,,3.0,1429.0,,,,,,,,,,,,,,,,,,,,\n487,PyAlgoTrade,gbeced/pyalgotrade,,financial-data,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54.000000,2021-04-19 00:39:07.000000,2018-08-21 02:42:52.000000,1216,45.0,84.0,3447.0,1156.0,Python Algorithmic Trading Library.,11.0,22,False,,,8.0,pyalgotrade,,,,,109.0,88.0,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25.000000,21.0,818.0,818.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n488,segmentation_models,qubvel/segmentation_models,,image,https://github.com/qubvel/segmentation_models,https://github.com/qubvel/segmentation_models,MIT,2018-06-05 13:27:56.000000,2021-05-18 07:51:15.000000,2020-04-17 09:51:20.000000,790,187.0,250.0,3374.0,204.0,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,14.0,22,False,2020-01-10 11:36:02.000000,1.0.1,8.0,segmentation_models,,,,['tensorflow'],24.0,,https://pypi.org/project/segmentation_models,2020-01-10 11:36:02.000000,24.0,19193.0,19193.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n489,AdaNet,tensorflow/adanet,,hyperopt,https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24.000000,2020-07-09 21:03:28.000000,2020-07-09 20:51:04.000000,515,65.0,47.0,3308.0,439.0,Fast and flexible AutoML with learning guarantees.,26.0,22,False,2020-07-09 21:03:28.000000,0.9.0,13.0,adanet,,,,['tensorflow'],41.0,39.0,https://pypi.org/project/adanet,2020-07-09 21:03:28.000000,2.0,1400.0,1400.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n490,TensorWatch,microsoft/tensorwatch,,ml-experiments,https://github.com/microsoft/tensorwatch,https://github.com/microsoft/tensorwatch,MIT,2019-05-15 08:29:34.000000,2021-04-13 09:44:02.000000,2021-01-15 19:46:05.000000,333,50.0,15.0,3153.0,112.0,\"Debugging, monitoring and visualization for Python Machine Learning and Data Science.\",13.0,22,True,2020-03-04 07:26:22.000000,0.9.1,14.0,tensorwatch,,,,,62.0,56.0,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22.000000,6.0,25598.0,25598.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n491,speechbrain,speechbrain/speechbrain,,audio,https://github.com/speechbrain/speechbrain,https://github.com/speechbrain/speechbrain,Apache-2.0,2020-04-28 17:48:45.000000,2021-08-19 09:28:29.000000,2021-08-16 22:39:07.000000,431,46.0,309.0,2825.0,,A PyTorch-based Speech Toolkit.,118.0,22,True,2021-06-17 01:25:19.000000,0.5.9,8.0,speechbrain,,,,['pytorch'],34.0,34.0,https://pypi.org/project/speechbrain,2021-06-17 01:26:07.000000,,2881.0,2881.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n492,Hummingbird,microsoft/hummingbird,,model-serialisation,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000000,2021-08-06 17:13:37.000000,2021-08-06 16:46:54.000000,192,48.0,170.0,2540.0,,Hummingbird compiles trained ML models into tensor computation for faster inference.,24.0,22,True,2021-06-22 21:28:04.000000,0.4.0,13.0,hummingbird-ml,,,,,18.0,18.0,https://pypi.org/project/hummingbird-ml,2021-06-22 21:26:04.000000,,3650.0,3659.0,,,,,,,,2.0,142.0,,,,,,,,,,,,,,,,,,,,\n493,Porcupine,Picovoice/Porcupine,,audio,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000000,2021-08-18 20:25:45.000000,2021-08-16 18:54:09.000000,369,16.0,317.0,2513.0,538.0,On-device wake word detection powered by deep learning.,29.0,22,True,2021-04-14 16:39:57.000000,1.9.5,19.0,pvporcupine,,,,,5.0,5.0,https://pypi.org/project/pvporcupine,2021-04-14 16:39:57.000000,0.0,881.0,881.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n494,layout-parser,Layout-Parser/layout-parser,,image,https://github.com/Layout-Parser/layout-parser,https://github.com/Layout-Parser/layout-parser,Apache-2.0,2020-06-10 20:22:54.000000,2021-08-17 16:34:03.000000,2021-08-17 16:33:14.000000,203,21.0,18.0,2417.0,144.0,A unified toolkit for Deep Learning Based Document Image Analysis.,5.0,22,True,2021-04-12 20:00:00.000000,0.2.0,6.0,layoutparser,,,,,13.0,13.0,https://pypi.org/project/layoutparser,2021-04-12 20:00:00.000000,,2402.0,2402.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n495,MMLSpark,Azure/mmlspark,,distributed-ml,https://github.com/Azure/mmlspark,https://github.com/Azure/mmlspark,MIT,2017-06-05 08:23:44.000000,2021-08-19 14:20:37.000000,2021-08-17 17:46:37.000000,541,211.0,249.0,2395.0,908.0,Microsoft Machine Learning for Apache Spark.,68.0,22,True,2020-10-02 19:36:01.000000,1.0.0-rc3,17.0,mmlspark,,,,['spark'],,,https://pypi.org/project/mmlspark,2020-03-18 01:27:31.000000,,33250.0,33250.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n496,Texthero,jbesomi/texthero,,nlp,https://github.com/jbesomi/texthero,https://github.com/jbesomi/texthero,MIT,2020-04-06 15:16:05.000000,2021-07-19 13:56:08.000000,2021-07-19 13:56:08.000000,198,76.0,58.0,2316.0,269.0,\"Text preprocessing, representation and visualization from zero to hero.\",18.0,22,True,2021-07-01 17:11:02.000000,1.1.0,10.0,texthero,,,,,0.0,,https://pypi.org/project/texthero,2021-07-01 17:11:02.000000,0.0,9971.0,9976.0,,,,,,,,3.0,80.0,,,,,,,,,,,,,,,,,,,,\n497,TF Ranking,tensorflow/ranking,,recommender-systems,https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57.000000,2021-07-22 23:55:13.000000,2021-07-22 22:48:31.000000,393,32.0,225.0,2237.0,406.0,Learning to Rank in TensorFlow.,20.0,22,True,2021-07-22 23:55:13.000000,0.4.2,18.0,tensorflow_ranking,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow_ranking,2021-07-22 23:33:10.000000,2.0,31675.0,31675.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n498,Texar,asyml/texar,,nlp,https://github.com/asyml/texar,https://github.com/asyml/texar,Apache-2.0,2017-07-22 19:02:05.000000,2020-09-17 07:03:55.000000,2020-07-29 00:38:30.000000,356,33.0,126.0,2196.0,1719.0,\"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the..\",41.0,22,False,2019-11-19 04:11:18.000000,0.2.4,6.0,texar,,,,['tensorflow'],17.0,15.0,https://pypi.org/project/texar,2019-11-19 04:11:18.000000,2.0,208.0,208.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n499,Mars,mars-project/mars,,others,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03.000000,2021-08-19 14:58:13.000000,2021-08-19 13:38:27.000000,271,136.0,731.0,2195.0,893.0,\"Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and..\",27.0,22,True,2021-08-06 16:44:10.000000,0.7.0,89.0,pymars,,,,,0.0,,https://pypi.org/project/pymars,2021-08-06 16:44:10.000000,0.0,6012.0,6012.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n500,DDSP,magenta/ddsp,,audio,https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27.000000,2021-08-18 07:51:08.000000,2021-08-18 07:51:02.000000,196,19.0,101.0,1937.0,,DDSP: Differentiable Digital Signal Processing.,27.0,22,True,2021-07-22 22:56:25.000000,1.6.2,36.0,ddsp,,,,['tensorflow'],15.0,15.0,https://pypi.org/project/ddsp,2021-07-30 19:21:03.000000,,1628.0,1628.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n501,STUMPY,TDAmeritrade/stumpy,,time-series-data,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000000,2021-08-15 07:47:57.000000,2021-08-15 07:47:39.000000,184,30.0,228.0,1876.0,,\"STUMPY is a powerful and scalable Python library for computing a Matrix Profile, which can be used for a variety of..\",25.0,22,True,2021-07-28 11:44:51.000000,1.9.2,22.0,stumpy,conda-forge/stumpy,,,,0.0,,https://pypi.org/project/stumpy,2021-07-28 11:44:51.000000,0.0,107460.0,108482.0,https://anaconda.org/conda-forge/stumpy,2021-07-28 11:53:53.364000,27614.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n502,vidgear,abhiTronix/vidgear,,image,https://github.com/abhiTronix/vidgear,https://github.com/abhiTronix/vidgear,Apache-2.0,2019-03-17 02:42:42.000000,2021-08-17 16:07:17.000000,2021-04-25 17:12:04.000000,137,4.0,161.0,1872.0,649.0,High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features.,6.0,22,True,2021-04-25 18:49:14.000000,idgear-0.2.1,13.0,vidgear,,,,,125.0,123.0,https://pypi.org/project/vidgear,2021-01-01 07:57:09.000000,2.0,2061.0,2074.0,,,,,,,,3.0,395.0,,,,,,,,,,,,,,,,,,,,\n503,m2cgen,BayesWitnesses/m2cgen,,model-serialisation,https://github.com/BayesWitnesses/m2cgen,https://github.com/BayesWitnesses/m2cgen,MIT,2019-01-13 02:32:55.000000,2021-08-18 22:45:29.000000,2021-08-18 22:45:28.000000,155,36.0,47.0,1861.0,311.0,\"Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart,..\",12.0,22,True,2020-09-18 19:17:26.000000,0.9.0,12.0,m2cgen,,,,,6.0,6.0,https://pypi.org/project/m2cgen,2020-09-18 19:16:17.000000,,29012.0,29012.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n504,accelerate,huggingface/accelerate,,pytorch-utils,https://github.com/huggingface/accelerate,https://github.com/huggingface/accelerate,Apache-2.0,2020-10-30 13:27:12.000000,2021-08-10 08:38:28.000000,2021-08-10 08:40:24.000000,82,22.0,63.0,1684.0,,\"A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision.\",20.0,22,True,2021-08-10 09:46:51.000000,0.4.0,6.0,accelerate,,,,['pytorch'],129.0,129.0,https://pypi.org/project/accelerate,2021-08-10 08:35:35.000000,0.0,24601.0,24601.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n505,AmpliGraph,Accenture/AmpliGraph,,graph,https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05.000000,2021-05-25 16:56:00.000000,2021-05-25 16:49:48.000000,174,24.0,181.0,1567.0,947.0,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,19.0,22,True,2021-05-25 16:57:42.000000,1.4.0,12.0,ampligraph,,,,['tensorflow'],15.0,15.0,https://pypi.org/project/ampligraph,2021-05-25 16:47:29.000000,,1249.0,1249.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n506,Magnitude,plasticityai/magnitude,,nn-search,https://github.com/plasticityai/magnitude,https://github.com/plasticityai/magnitude,MIT,2018-02-24 07:28:16.000000,2021-02-23 18:10:43.000000,2020-07-17 20:19:46.000000,102,28.0,51.0,1472.0,350.0,\"A fast, efficient universal vector embedding utility package.\",4.0,22,False,2020-05-25 11:26:36.000000,0.1.143,128.0,pymagnitude,,,,,210.0,196.0,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36.000000,14.0,5365.0,5365.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n507,pygraphistry,graphistry/pygraphistry,,graph,https://github.com/graphistry/pygraphistry,https://github.com/graphistry/pygraphistry,BSD-3-Clause,2015-06-02 20:28:42.000000,2021-08-16 02:52:04.000000,2021-08-16 01:40:43.000000,135,57.0,103.0,1417.0,795.0,\"PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated..\",16.0,22,True,2021-08-16 02:52:04.000000,0.19.6,120.0,graphistry,,,,['jupyter'],52.0,48.0,https://pypi.org/project/graphistry,2021-08-16 02:52:04.000000,4.0,931.0,931.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n508,Classy Vision,facebookresearch/ClassyVision,,image,https://github.com/facebookresearch/ClassyVision,https://github.com/facebookresearch/ClassyVision,MIT,2019-09-13 22:54:44.000000,2021-08-12 01:12:54.000000,2021-08-12 01:12:52.000000,234,53.0,58.0,1330.0,382.0,An end-to-end PyTorch framework for image and video classification.,63.0,22,True,2021-07-19 20:08:51.000000,0.6.0,17.0,classy_vision,conda-forge/classy_vision,,,['pytorch'],0.0,,https://pypi.org/project/classy_vision,2021-07-09 22:58:06.000000,0.0,940.0,1417.0,https://anaconda.org/conda-forge/classy_vision,2020-12-11 20:08:25.437000,9070.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n509,jiant,nyu-mll/jiant,,nlp,https://github.com/nyu-mll/jiant,https://github.com/nyu-mll/jiant,MIT,2018-06-18 18:12:47.000000,2021-07-26 19:02:52.000000,2021-07-26 19:02:52.000000,248,57.0,482.0,1318.0,1920.0,jiant is an nlp toolkit.,56.0,22,True,2021-05-10 18:56:39.000000,2.2.0,19.0,jiant,,,,,2.0,2.0,https://pypi.org/project/jiant,2021-05-10 18:56:39.000000,,250.0,250.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n510,datatable,h2oai/datatable,,data-containers,https://github.com/h2oai/datatable,https://github.com/h2oai/datatable,MPL-2.0,2017-03-03 02:32:59.000000,2021-08-18 23:01:48.000000,2021-08-18 23:01:46.000000,114,136.0,1218.0,1315.0,,A Python package for manipulating 2-dimensional tabular data structures.,29.0,22,True,2021-07-02 00:15:35.000000,1.0.0,16.0,datatable,,,,,6.0,,https://pypi.org/project/datatable,2021-07-01 23:36:34.000000,6.0,87137.0,87160.0,,,,,,,,3.0,1107.0,,,,,,,,,,,,,,,,,,,,\n511,NiftyNet,NifTK/NiftyNet,,medical-data,https://github.com/NifTK/NiftyNet,https://github.com/NifTK/NiftyNet,Apache-2.0,2017-08-30 07:55:43.000000,2020-04-21 19:54:52.000000,2020-04-21 19:54:51.000000,385,102.0,224.0,1286.0,2848.0,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,58.0,22,False,2019-10-10 10:59:33.000000,0.6.0,11.0,niftynet,,,,['tensorflow'],37.0,36.0,https://pypi.org/project/niftynet,2019-10-10 10:59:33.000000,1.0,157.0,157.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n512,pytorch-forecasting,jdb78/pytorch-forecasting,,time-series-data,https://github.com/jdb78/pytorch-forecasting,https://github.com/jdb78/pytorch-forecasting,MIT,2020-07-03 13:05:24.000000,2021-08-11 20:02:07.000000,2021-08-11 20:01:52.000000,162,91.0,200.0,1275.0,964.0,Time series forecasting with PyTorch.,18.0,22,True,2021-06-04 17:48:44.000000,0.9.0,27.0,pytorch-forecasting,,,,,,,https://pypi.org/project/pytorch-forecasting,2021-06-04 17:48:44.000000,,15857.0,15857.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n513,Higher,facebookresearch/higher,,pytorch-utils,https://github.com/facebookresearch/higher,https://github.com/facebookresearch/higher,Apache-2.0,2019-09-06 18:58:36.000000,2021-08-03 01:26:54.000000,2021-06-21 15:17:40.000000,84,36.0,49.0,1209.0,30.0,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,9.0,22,True,2020-07-14 12:20:32.000000,0.2.1,2.0,higher,,,,['pytorch'],70.0,70.0,https://pypi.org/project/higher,2020-07-14 12:20:32.000000,0.0,37734.0,37734.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n514,RecBole,RUCAIBox/RecBole,,recommender-systems,https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000000,2021-08-19 14:13:01.000000,2021-07-11 02:23:22.000000,191,38.0,133.0,1175.0,3028.0,\"A unified, comprehensive and efficient recommendation library.\",40.0,22,True,2021-04-06 09:53:37.000000,0.2.1,5.0,recbole,aibox/recbole,,,['pytorch'],,,https://pypi.org/project/recbole,2021-03-22 14:22:38.000000,,472.0,539.0,https://anaconda.org/aibox/recbole,2021-03-22 14:53:52.593000,609.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n515,tensorrec,jfkirk/tensorrec,,recommender-systems,https://github.com/jfkirk/tensorrec,https://github.com/jfkirk/tensorrec,Apache-2.0,2017-02-28 18:51:11.000000,2021-06-08 20:06:07.000000,2020-02-04 21:10:25.000000,218,35.0,90.0,1161.0,334.0,A TensorFlow recommendation algorithm and framework in Python.,9.0,22,False,2019-04-02 00:53:47.000000,0.26.2,30.0,tensorrec,,,,['tensorflow'],29.0,26.0,https://pypi.org/project/tensorrec,2019-04-02 00:53:47.000000,3.0,1489.0,1489.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n516,lightly,lightly-ai/lightly,,image,https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000000,2021-08-19 11:34:38.000000,2021-08-16 12:54:09.000000,66,54.0,161.0,1137.0,491.0,A python library for self-supervised learning on images.,11.0,22,True,2021-08-06 16:11:50.000000,1.1.17,29.0,lightly,,,,['pytorch'],18.0,18.0,https://pypi.org/project/lightly,2021-08-06 16:13:34.000000,0.0,2026.0,2026.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n517,gplearn,trevorstephens/gplearn,,others,https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14.000000,2021-07-01 00:24:09.000000,2021-07-01 00:24:09.000000,169,40.0,124.0,989.0,147.0,\"Genetic Programming in Python, with a scikit-learn inspired API.\",10.0,22,True,2019-06-01 02:04:52.000000,0.4.1,5.0,gplearn,,,,['sklearn'],196.0,182.0,https://pypi.org/project/gplearn,2019-06-01 02:04:52.000000,14.0,2218.0,2218.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n518,SciSpacy,allenai/scispacy,,nlp,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52.000000,2021-07-15 18:43:58.000000,2021-07-15 18:43:58.000000,134,28.0,186.0,979.0,,A full spaCy pipeline and models for scientific/biomedical documents.,21.0,22,True,2021-02-12 22:56:06.000000,0.4.0,10.0,scispacy,,,,,327.0,315.0,https://pypi.org/project/scispacy,2021-02-12 22:56:06.000000,12.0,27948.0,27948.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n519,alibi-detect,SeldonIO/alibi-detect,,others,https://github.com/SeldonIO/alibi-detect,https://github.com/SeldonIO/alibi-detect,Apache-2.0,2019-10-07 13:29:13.000000,2021-08-17 09:44:35.000000,2021-08-17 09:44:35.000000,88,73.0,85.0,805.0,380.0,\"Algorithms for outlier, adversarial and drift detection.\",8.0,22,True,2021-08-17 09:43:00.000000,0.7.2,17.0,alibi-detect,,,,,35.0,33.0,https://pypi.org/project/alibi-detect,2021-08-17 09:41:07.000000,2.0,10843.0,10843.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n520,torch-scatter,rusty1s/pytorch_scatter,,pytorch-utils,https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23.000000,2021-08-18 08:02:32.000000,2021-08-18 08:02:31.000000,83,71.0,134.0,733.0,930.0,PyTorch Extension Library of Optimized Scatter Operations.,17.0,22,True,2021-07-29 04:05:23.000000,2.0.8,28.0,torch-scatter,,,,['pytorch'],32.0,,https://pypi.org/project/torch-scatter,2021-07-29 04:05:23.000000,32.0,22948.0,22948.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n521,gmaps,pbugnion/gmaps,,geospatial-data,https://github.com/pbugnion/gmaps,https://github.com/pbugnion/gmaps,BSD-3-Clause,2014-12-01 09:12:06.000000,2020-10-13 07:09:18.000000,2019-07-22 06:22:45.000000,143,66.0,136.0,717.0,1380.0,Google maps for Jupyter notebooks.,16.0,22,False,2019-07-21 08:49:48.715000,0.9.0,94.0,gmaps,conda-forge/gmaps,,,['jupyter'],75.0,1.0,https://pypi.org/project/gmaps,2019-07-21 08:49:39.000000,74.0,16063.0,22728.0,https://anaconda.org/conda-forge/gmaps,2019-08-02 11:56:50.940000,239724.0,,,,,3.0,,,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715000,,1965.0,,,,,,,,,,,,,\n522,Labml,labmlai/labml,,ml-experiments,https://github.com/labmlai/labml,https://github.com/labmlai/labml,MIT,2018-11-16 09:34:48.000000,2021-08-19 11:50:21.000000,2021-08-19 11:50:17.000000,56,14.0,9.0,678.0,1120.0,Monitor deep learning model training and hardware usage from your mobile phone.,6.0,22,True,2021-08-19 10:30:50.000000,0.4.131,106.0,labml,,,,,31.0,31.0,https://pypi.org/project/labml,2021-08-13 10:58:06.000000,0.0,1206.0,1206.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n523,audiomentations,iver56/audiomentations,,audio,https://github.com/iver56/audiomentations,https://github.com/iver56/audiomentations,MIT,2019-02-12 16:36:24.000000,2021-08-05 07:52:09.000000,2021-08-05 07:52:06.000000,86,20.0,64.0,666.0,476.0,A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.,17.0,22,True,2021-08-05 07:43:16.000000,0.18.0,20.0,audiomentations,,,,,66.0,66.0,https://pypi.org/project/audiomentations,2021-08-05 07:43:16.000000,,2908.0,2908.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n524,lets-plot,JetBrains/lets-plot,,data-viz,https://github.com/JetBrains/lets-plot,https://github.com/JetBrains/lets-plot,MIT,2019-03-20 16:13:03.000000,2021-08-19 14:31:38.000000,2021-08-18 13:23:17.000000,25,67.0,127.0,662.0,2088.0,An open-source plotting library for statistical data.,15.0,22,True,2021-08-16 15:13:33.000000,2.1.0,39.0,lets-plot,,,,,11.0,11.0,https://pypi.org/project/lets-plot,2021-08-16 14:42:27.000000,0.0,4564.0,4568.0,,,,,,,,3.0,104.0,,,,,,,,,,,,,,,,,,,,\n525,Objax,google/objax,,ml-frameworks,https://github.com/google/objax,https://github.com/google/objax,Apache-2.0,2020-08-20 06:20:40.000000,2021-07-27 16:24:03.000000,2021-07-27 16:24:03.000000,51,40.0,56.0,642.0,413.0,Objax is a machine learning framework that provides an Object Oriented layer for JAX.,21.0,22,True,2021-04-01 00:14:18.000000,1.4.0,7.0,objax,,,,['jax'],15.0,15.0,https://pypi.org/project/objax,2021-04-01 00:02:37.000000,0.0,3215.0,3215.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n526,Guild AI,guildai/guildai,,ml-experiments,https://github.com/guildai/guildai,https://github.com/guildai/guildai,Apache-2.0,2017-09-27 18:57:50.000000,2021-08-18 19:32:56.000000,2021-08-18 19:32:43.000000,44,109.0,172.0,616.0,4548.0,\"Experiment tracking, ML developer tools.\",18.0,22,True,2021-03-25 22:43:31.000000,0.7.3,171.0,guildai,,,,,37.0,37.0,https://pypi.org/project/guildai,2021-07-27 18:30:46.000000,,5978.0,5978.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n527,TensorBoard Logger,TeamHG-Memex/tensorboard_logger,,ml-experiments,https://github.com/TeamHG-Memex/tensorboard_logger,https://github.com/TeamHG-Memex/tensorboard_logger,MIT,2016-10-27 14:02:25.000000,2021-06-09 17:35:49.000000,2019-10-21 07:52:07.000000,50,9.0,15.0,615.0,46.0,Log TensorBoard events without touching TensorFlow.,5.0,22,False,2018-02-08 07:28:51.000000,0.1.0,5.0,tensorboard_logger,,,,,96.0,,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51.000000,96.0,93893.0,93893.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n528,Mapbox GL,mapbox/mapboxgl-jupyter,,geospatial-data,https://github.com/mapbox/mapboxgl-jupyter,https://github.com/mapbox/mapboxgl-jupyter,MIT,2017-08-08 15:10:51.000000,2021-05-31 23:04:25.000000,2021-04-19 05:00:36.000000,121,35.0,67.0,576.0,221.0,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,21.0,22,True,2019-06-03 21:24:10.000000,0.10.2,20.0,mapboxgl,,,,['jupyter'],133.0,115.0,https://pypi.org/project/mapboxgl,2019-06-02 15:18:57.000000,18.0,16818.0,16818.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n529,nnAudio,KinWaiCheuk/nnAudio,,audio,https://github.com/KinWaiCheuk/nnAudio,https://github.com/KinWaiCheuk/nnAudio,MIT,2019-09-02 04:31:14.000000,2021-08-06 14:28:16.000000,2021-08-06 14:22:35.000000,55,8.0,33.0,525.0,262.0,Audio processing by using pytorch 1D convolution network.,12.0,22,True,2021-08-06 14:28:16.000000,0.2.5,35.0,nnAudio,,,,,19.0,19.0,https://pypi.org/project/nnAudio,2021-08-06 14:28:16.000000,,9435.0,9435.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n530,tinytag,devsnd/tinytag,,audio,https://github.com/devsnd/tinytag,https://github.com/devsnd/tinytag,MIT,2014-01-27 15:27:01.000000,2021-08-08 20:52:58.000000,2021-06-13 14:20:35.000000,82,16.0,67.0,479.0,322.0,\"Read music meta data and length of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA and Wave files with python 2 or 3.\",20.0,22,True,2020-11-05 12:44:52.000000,1.5.0,33.0,tinytag,,,,,489.0,393.0,https://pypi.org/project/tinytag,2020-11-05 12:44:52.000000,96.0,5718.0,5718.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n531,PyTorch Sparse,rusty1s/pytorch_sparse,,pytorch-utils,https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53.000000,2021-08-18 08:01:46.000000,2021-08-18 08:01:46.000000,58,57.0,74.0,457.0,621.0,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,17.0,22,True,2021-07-29 17:31:50.000000,0.6.11,23.0,torch-sparse,,,,['pytorch'],34.0,,https://pypi.org/project/torch-sparse,2021-07-29 17:33:17.000000,34.0,16003.0,16003.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n532,PyWaffle,gyli/PyWaffle,,data-viz,https://github.com/gyli/PyWaffle,https://github.com/gyli/PyWaffle,MIT,2017-11-14 20:03:47.000000,2021-07-28 14:49:22.000000,2021-07-28 14:49:15.000000,74,2.0,11.0,442.0,254.0,Make Waffle Charts in Python.,6.0,22,True,2021-07-28 01:11:09.000000,0.6.3,24.0,pywaffle,,,,,80.0,80.0,https://pypi.org/project/pywaffle,2021-07-28 01:11:09.000000,0.0,2029.0,2029.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n533,Submit it,facebookincubator/submitit,,distributed-ml,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09.000000,2021-08-16 09:03:00.000000,2021-08-16 09:03:00.000000,33,22.0,28.0,436.0,72.0,Python 3.6+ toolbox for submitting jobs to Slurm.,14.0,22,True,2021-04-08 08:01:58.000000,1.3.2,13.0,submitit,conda-forge/submitit,,,,202.0,202.0,https://pypi.org/project/submitit,2021-04-08 08:01:58.000000,0.0,6646.0,6970.0,https://anaconda.org/conda-forge/submitit,2021-02-10 12:48:57.745000,3893.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n534,Studio.ml,studioml/studio,,ml-experiments,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28.000000,2021-08-18 17:20:26.000000,2021-08-18 17:20:21.000000,52,57.0,195.0,372.0,2406.0,Studio: Simplify and expedite model building process.,21.0,22,True,2021-07-30 03:01:06.000000,0.0.48,207.0,studioml,,,,,4.0,4.0,https://pypi.org/project/studioml,2021-08-16 20:53:36.000000,,1240.0,1240.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n535,GeoViews,holoviz/geoviews,,geospatial-data,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000000,2021-08-03 04:04:01.000000,2021-04-13 11:40:25.000000,65,90.0,181.0,359.0,656.0,\"Simple, concise geographical visualization in Python.\",23.0,22,True,2021-03-13 16:29:11.000000,1.9.1,26.0,geoviews,conda-forge/geoviews,,,,20.0,,https://pypi.org/project/geoviews,2021-03-13 16:29:11.000000,20.0,5153.0,7013.0,https://anaconda.org/conda-forge/geoviews,2021-03-14 15:19:05.550000,76260.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n536,pySBD,nipunsadvilkar/pySBD,,nlp,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20.000000,2021-04-25 08:42:15.000000,2021-02-11 16:40:18.000000,34,9.0,48.0,352.0,279.0,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,6.0,22,True,2021-02-11 16:42:37.000000,0.3.4,15.0,pysbd,,,,,199.0,195.0,https://pypi.org/project/pysbd,2021-02-11 16:36:33.000000,4.0,36316.0,36316.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n537,pysparkling,svenkreiss/pysparkling,,data-pipelines,https://github.com/svenkreiss/pysparkling,https://github.com/svenkreiss/pysparkling,MIT,2015-05-09 19:23:20.000000,2021-03-05 14:35:43.000000,2021-02-22 17:29:11.000000,45,7.0,21.0,237.0,1527.0,A pure Python implementation of Apache Spark's RDD and DStream interfaces.,10.0,22,False,2021-01-10 21:15:26.000000,0.6.1,68.0,pysparkling,,,,,83.0,69.0,https://pypi.org/project/pysparkling,2021-01-10 21:15:26.000000,14.0,23652.0,23652.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n538,stop-words,Alir3z4/python-stop-words,,nlp,https://github.com/Alir3z4/python-stop-words,https://github.com/Alir3z4/python-stop-words,BSD-3-Clause,2014-05-26 06:44:03.000000,2019-10-16 15:01:43.000000,2018-07-23 21:04:09.000000,23,3.0,9.0,129.0,90.0,Get list of common stop words in various languages in Python.,8.0,22,False,2018-07-23 20:58:34.000000,2018.7.23,8.0,stop-words,,,,,1541.0,1283.0,https://pypi.org/project/stop-words,2018-07-23 20:55:55.000000,258.0,82903.0,82903.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n539,Qlib,microsoft/qlib,,financial-data,https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000000,2021-08-19 14:07:11.000000,2021-08-14 10:07:49.000000,930,87.0,204.0,5485.0,,\"Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research,..\",57.0,21,True,2021-07-11 14:44:17.000000,0.7.0,17.0,pyqlib,,,,['pytorch'],5.0,5.0,https://pypi.org/project/pyqlib,2021-07-11 14:44:17.000000,,4760.0,4784.0,,,,,,,,3.0,267.0,,,,,,,,,,,,,,,,,,,,\n540,vit-pytorch,lucidrains/vit-pytorch,,image,https://github.com/lucidrains/vit-pytorch,https://github.com/lucidrains/vit-pytorch,MIT,2020-10-03 22:47:24.000000,2021-08-19 15:23:41.000000,2021-08-19 15:22:55.000000,709,58.0,70.0,5382.0,,\"Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single..\",10.0,21,True,2021-08-19 15:23:41.000000,0.20.5,89.0,vit-pytorch,,,,['pytorch'],31.0,31.0,https://pypi.org/project/vit-pytorch,2021-08-19 15:23:41.000000,0.0,3781.0,3781.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n541,MMF,facebookresearch/mmf,,image,https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40.000000,2021-08-19 12:37:29.000000,2021-08-18 01:37:47.000000,712,159.0,399.0,4540.0,927.0,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,70.0,21,True,2019-08-26 19:04:21.000000,0.3.1,12.0,mmf,,,,['pytorch'],8.0,8.0,https://pypi.org/project/mmf,2020-06-12 22:15:02.000000,0.0,496.0,496.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n542,mace,XiaoMi/mace,,ml-frameworks,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12.000000,2021-08-11 09:00:41.000000,2021-08-09 07:12:54.000000,770,41.0,611.0,4450.0,3241.0,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,64.0,21,True,2021-03-18 10:07:32.000000,1.0.4,11.0,,,,,,,,,,,,37.0,,,,,,,,3.0,1367.0,,,,,,,,,,,,,,,,,,,,\n543,Image Deduplicator,idealo/imagededup,,image,https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54.000000,2021-03-16 10:25:33.000000,2020-11-23 17:40:40.000000,314,21.0,57.0,3746.0,460.0,Finding duplicate images made easy!.,9.0,21,True,2020-11-23 17:55:24.000000,0.2.4,9.0,imagededup,,,,['tensorflow'],17.0,15.0,https://pypi.org/project/imagededup,2020-11-22 21:09:36.000000,2.0,2885.0,2885.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n544,NeMo,NVIDIA/NeMo,,nlp,https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000000,2021-08-19 11:41:44.000000,2021-08-17 22:04:17.000000,585,80.0,638.0,3065.0,,NeMo: a toolkit for conversational AI.,105.0,21,True,2021-07-30 20:05:41.000000,1.2.0,41.0,nemo-toolkit,,,,['pytorch'],4.0,,https://pypi.org/project/nemo-toolkit,2021-07-30 19:38:45.000000,4.0,4312.0,4627.0,,,,,,,,3.0,7261.0,,,,,,,,,,,,,,,,,,,,\n545,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,,graph,https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16.000000,2021-08-16 15:44:14.000000,2021-08-16 15:44:12.000000,383,48.0,115.0,2867.0,155.0,Generate embeddings from large-scale graph-structured data.,24.0,21,True,2019-10-14 16:45:11.000000,1.0.0,3.0,torchbiggraph,,,,['pytorch'],4.0,,https://pypi.org/project/torchbiggraph,2019-05-01 21:31:13.000000,4.0,549.0,553.0,,,,,,,,2.0,118.0,,,,,,,,,,,,,,,,,,,,\n546,gpt-2-simple,minimaxir/gpt-2-simple,,nlp,https://github.com/minimaxir/gpt-2-simple,https://github.com/minimaxir/gpt-2-simple,MIT,2019-04-13 20:00:52.000000,2021-07-29 00:11:59.000000,2021-02-14 19:39:38.000000,556,144.0,93.0,2751.0,133.0,Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts.,17.0,21,True,2021-02-14 21:13:20.000000,0.7.2,16.0,gpt-2-simple,,,,['tensorflow'],6.0,,https://pypi.org/project/gpt-2-simple,2021-02-14 20:20:24.000000,6.0,8928.0,8937.0,,,,,,,,3.0,259.0,,,,,,,,,,,,,,,,,,,,\n547,finmarketpy,cuemacro/finmarketpy,,financial-data,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03.000000,2021-07-23 10:48:32.000000,2021-07-23 10:48:25.000000,438,23.0,3.0,2648.0,675.0,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,14.0,21,True,2021-06-01 16:13:24.000000,0.11.9,10.0,finmarketpy,,,,,3.0,3.0,https://pypi.org/project/finmarketpy,2021-06-01 16:13:24.000000,,158.0,158.0,,,,,,,,3.0,40.0,,,,,,,,,,,,,,,,,,,,\n548,FinRL,AI4Finance-LLC/FinRL,,reinforcement-learning,https://github.com/AI4Finance-LLC/FinRL,https://github.com/AI4Finance-LLC/FinRL,MIT,2020-07-26 13:18:16.000000,2021-08-18 17:11:52.000000,2021-08-18 17:11:51.000000,637,64.0,108.0,2431.0,807.0,A Deep Reinforcement Learning Framework for Automated Trading in Quantitative Finance. NeurIPS 2020.,30.0,21,True,2021-02-28 17:05:19.000000,0.3.0,4.0,finrl,,,,,7.0,7.0,https://pypi.org/project/finrl,2021-02-28 17:05:19.000000,,260.0,260.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n549,Luminoth,tryolabs/luminoth,,image,https://github.com/tryolabs/luminoth,https://github.com/tryolabs/luminoth,BSD-3-Clause,2017-02-16 15:07:46.000000,2021-05-21 16:21:18.000000,2020-01-07 20:53:25.000000,403,52.0,127.0,2380.0,838.0,Deep Learning toolkit for Computer Vision.,15.0,21,False,2018-11-09 21:35:17.000000,0.2.3,10.0,luminoth,,,,['tensorflow'],34.0,32.0,https://pypi.org/project/luminoth,2018-11-09 21:35:17.000000,2.0,1412.0,1666.0,,,,,,,,3.0,11725.0,,,,,,,,,,,,,,,,,,,,\n550,DeepVariant,google/deepvariant,,medical-data,https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000000,2021-08-09 14:44:52.000000,2021-08-09 14:43:13.000000,565,3.0,426.0,2321.0,1746.0,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,20.0,21,True,2021-07-29 16:59:05.000000,1.2.0,16.0,,bioconda/deepvariant,,,['tensorflow'],,,,,,,833.0,https://anaconda.org/bioconda/deepvariant,2021-07-30 23:35:30.579000,32482.0,,,,,3.0,3453.0,,,,,,,,,,,,,,,,,,,,\n551,DeepWalk,phanein/deepwalk,,graph,https://github.com/phanein/deepwalk,https://github.com/phanein/deepwalk,GPL-3.0,2014-08-23 03:38:20.000000,2021-07-13 03:49:24.000000,2020-04-02 01:05:35.000000,765,29.0,80.0,2287.0,46.0,DeepWalk - Deep Learning for Graphs.,10.0,21,False,2018-04-29 21:05:18.000000,1.0.3,4.0,deepwalk,,,,,50.0,43.0,https://pypi.org/project/deepwalk,2018-04-29 21:05:18.000000,7.0,2867.0,2867.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n552,PARL,PaddlePaddle/PARL,,reinforcement-learning,https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22.000000,2021-08-18 03:36:49.000000,2021-08-12 17:00:10.000000,519,52.0,193.0,2157.0,1.0,A high-performance distributed training framework for Reinforcement Learning.,26.0,21,True,2021-07-08 13:09:56.000000,2.0.2,22.0,parl,,,,['paddle'],76.0,76.0,https://pypi.org/project/parl,2021-07-08 13:09:56.000000,,842.0,842.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n553,cleanlab,cgnorthcutt/cleanlab,,others,https://github.com/cgnorthcutt/cleanlab,https://github.com/cgnorthcutt/cleanlab,AGPL-3.0,2018-05-11 01:55:21.000000,2021-06-06 01:28:39.000000,2021-06-06 01:28:39.000000,203,23.0,45.0,2121.0,808.0,The standard package for machine learning with noisy labels and finding mislabeled data. Works with most datasets and..,6.0,21,False,2021-04-18 19:52:49.000000,1.0,15.0,cleanlab,,,,,18.0,18.0,https://pypi.org/project/cleanlab,2020-02-17 07:33:06.000000,,6598.0,6598.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n554,vissl,facebookresearch/vissl,,image,https://github.com/facebookresearch/vissl,https://github.com/facebookresearch/vissl,MIT,2020-04-09 19:40:33.000000,2021-08-18 21:19:49.000000,2021-08-13 18:03:38.000000,174,37.0,50.0,1885.0,240.0,\"VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.\",25.0,21,True,2021-03-02 18:51:51.000000,0.1.5,5.0,vissl,,,,['pytorch'],,,https://pypi.org/project/vissl,2021-01-25 17:22:19.000000,,395.0,395.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n555,Sweetviz,fbdesignpro/sweetviz,,data-viz,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47.000000,2021-07-08 14:32:09.000000,2021-07-08 14:31:20.000000,172,23.0,62.0,1709.0,102.0,\"Visualize and compare datasets, target values and associations, with one line of code.\",6.0,21,True,2021-07-08 14:32:09.000000,2.1.3,31.0,sweetviz,,,,,0.0,,https://pypi.org/project/sweetviz,2021-07-08 14:32:09.000000,0.0,23456.0,23456.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n556,reformer-pytorch,lucidrains/reformer-pytorch,,pytorch-utils,https://github.com/lucidrains/reformer-pytorch,https://github.com/lucidrains/reformer-pytorch,MIT,2020-01-09 20:42:37.000000,2021-05-09 14:50:10.000000,2021-05-09 14:49:27.000000,209,11.0,102.0,1572.0,243.0,\"Reformer, the efficient Transformer, in Pytorch.\",10.0,21,True,2021-05-09 14:49:45.000000,1.4.2,137.0,reformer-pytorch,,,,['pytorch'],,,https://pypi.org/project/reformer-pytorch,2021-05-09 14:50:10.000000,,10748.0,10748.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n557,lore,instacart/lore,,ml-experiments,https://github.com/instacart/lore,https://github.com/instacart/lore,MIT,2017-10-19 21:51:45.000000,2021-05-26 18:44:09.000000,2020-05-11 22:26:45.000000,120,16.0,18.0,1522.0,270.0,Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers.,22.0,21,False,2020-05-11 22:28:23.000000,0.8.4,231.0,lore,,,,,17.0,16.0,https://pypi.org/project/lore,2020-05-11 22:28:23.000000,1.0,1841.0,1841.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n558,hiddenlayer,waleedka/hiddenlayer,,ml-experiments,https://github.com/waleedka/hiddenlayer,https://github.com/waleedka/hiddenlayer,MIT,2018-05-18 22:34:51.000000,2021-06-12 16:54:12.000000,2020-04-24 06:58:09.000000,214,45.0,34.0,1486.0,58.0,\"Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.\",6.0,21,False,2018-12-03 04:33:29.000000,0.2,3.0,hiddenlayer,,,,\"['pytorch', 'tensorflow', 'jupyter']\",86.0,78.0,https://pypi.org/project/hiddenlayer,2020-04-24 07:32:11.000000,8.0,2827.0,2827.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n559,Talos,autonomio/talos,,hyperopt,https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41.000000,2021-05-27 09:49:51.000000,2021-05-27 09:49:50.000000,242,35.0,352.0,1427.0,559.0,\"Hyperparameter Optimization for TensorFlow, Keras and PyTorch.\",19.0,21,True,2020-11-09 16:48:30.000000,1.0,14.0,talos,,,,['tensorflow'],132.0,126.0,https://pypi.org/project/talos,2020-11-09 16:49:08.000000,6.0,1691.0,1691.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n560,anaGo,Hironsan/anago,,nlp,https://github.com/Hironsan/anago,https://github.com/Hironsan/anago,MIT,2017-06-26 21:28:36.000000,2021-06-01 21:53:57.000000,2021-04-01 12:34:50.000000,362,37.0,72.0,1420.0,298.0,\"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.\",11.0,21,True,2018-07-17 01:59:21.000000,1.0.8,14.0,anago,,,,['tensorflow'],32.0,27.0,https://pypi.org/project/anago,2018-07-17 01:59:21.000000,5.0,674.0,674.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n561,fklearn,nubank/fklearn,,ml-frameworks,https://github.com/nubank/fklearn,https://github.com/nubank/fklearn,Apache-2.0,2019-02-27 14:32:57.000000,2021-04-28 13:19:12.000000,2021-04-28 13:19:08.000000,149,19.0,20.0,1330.0,118.0,fklearn: Functional Machine Learning.,37.0,21,True,2021-02-09 17:12:04.000000,1.22.0,20.0,fklearn,,,,,10.0,10.0,https://pypi.org/project/fklearn,2021-02-09 17:12:04.000000,,4733.0,4733.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n562,MLBox,AxeldeRomblay/MLBox,,hyperopt,https://github.com/AxeldeRomblay/MLBox,https://github.com/AxeldeRomblay/MLBox,BSD-1-Clause,2017-06-01 16:59:24.000000,2021-05-21 15:42:44.000000,2020-08-25 09:26:27.000000,253,15.0,74.0,1239.0,1121.0,MLBox is a powerful Automated Machine Learning python library.,9.0,21,False,2020-08-25 09:32:37.000000,0.8.5,21.0,mlbox,,,,,26.0,26.0,https://pypi.org/project/mlbox,2020-08-25 09:32:37.000000,,2413.0,2413.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n563,Pypeline,cgarciae/pypeln,,data-pipelines,https://github.com/cgarciae/pypeln,https://github.com/cgarciae/pypeln,MIT,2018-09-01 13:43:31.000000,2021-05-01 11:58:40.000000,2021-04-13 00:55:39.000000,72,14.0,38.0,1231.0,235.0,Concurrent data pipelines in Python .,10.0,21,True,2021-01-05 18:00:06.000000,0.4.7,34.0,pypeln,,,,,10.0,,https://pypi.org/project/pypeln,2021-01-05 18:00:06.000000,10.0,20811.0,20811.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n564,TabNet,dreamquark-ai/tabnet,,pytorch-utils,https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000000,2021-06-24 08:47:54.000000,2021-05-27 09:32:27.000000,242,37.0,134.0,1213.0,168.0,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,18.0,21,True,2021-02-02 08:05:11.000000,3.1.1,17.0,pytorch-tabnet,,,,['pytorch'],0.0,,https://pypi.org/project/pytorch-tabnet,2021-02-02 08:05:11.000000,0.0,19237.0,19237.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n565,CausalNex,quantumblacklabs/causalnex,,interpretability,https://github.com/quantumblacklabs/causalnex,https://github.com/quantumblacklabs/causalnex,Apache-2.0,2019-12-12 15:26:09.000000,2021-08-13 09:03:09.000000,2021-08-13 08:54:08.000000,129,33.0,71.0,1209.0,117.0,A Python library that helps data scientists to infer causation rather than observing correlation.,20.0,21,True,2021-05-11 18:35:56.000000,0.10.0,15.0,causalnex,,,,\"['pytorch', 'sklearn']\",14.0,14.0,https://pypi.org/project/causalnex,2021-05-11 18:35:56.000000,,3014.0,3014.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n566,TaskTiger,closeio/tasktiger,,data-pipelines,https://github.com/closeio/tasktiger,https://github.com/closeio/tasktiger,MIT,2015-05-14 00:26:32.000000,2021-08-16 12:17:52.000000,2021-08-16 12:17:52.000000,59,36.0,35.0,1085.0,270.0,Python task queue using Redis.,22.0,21,True,2021-04-21 06:15:46.000000,0.15,25.0,tasktiger,,,,,38.0,20.0,https://pypi.org/project/tasktiger,2021-04-16 07:36:13.000000,18.0,1826.0,1826.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n567,TF Recommenders,tensorflow/recommenders,,recommender-systems,https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01.000000,2021-08-16 19:04:27.000000,2021-08-16 19:04:22.000000,126,86.0,81.0,962.0,,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,27.0,21,True,2021-07-16 21:31:01.000000,0.5.2,11.0,tensorflow-recommenders,,,,['tensorflow'],34.0,34.0,https://pypi.org/project/tensorflow-recommenders,2021-07-16 21:31:01.000000,0.0,26544.0,26544.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n568,luminol,linkedin/luminol,,time-series-data,https://github.com/linkedin/luminol,https://github.com/linkedin/luminol,Apache-2.0,2015-11-18 23:16:33.000000,2020-12-27 09:54:35.000000,2018-01-09 07:46:55.000000,193,31.0,12.0,956.0,69.0,Anomaly Detection and Correlation library.,8.0,21,False,2016-01-20 01:01:44.000000,0.3.1,5.0,luminol,,,,,70.0,42.0,https://pypi.org/project/luminol,2017-12-11 06:04:15.000000,28.0,43189.0,43189.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n569,TFEncrypted,tf-encrypted/tf-encrypted,,privacy-ml,https://github.com/tf-encrypted/tf-encrypted,https://github.com/tf-encrypted/tf-encrypted,Apache-2.0,2018-03-21 18:22:13.000000,2021-04-21 08:39:31.000000,2020-08-19 16:56:56.000000,163,172.0,232.0,923.0,595.0,A Framework for Encrypted Machine Learning in TensorFlow.,28.0,21,True,2019-09-27 20:00:01.000000,0.5.9,35.0,tf-encrypted,,,,['tensorflow'],70.0,54.0,https://pypi.org/project/tf-encrypted,2019-10-21 18:05:53.000000,16.0,996.0,996.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n570,Explainability 360,Trusted-AI/AIX360,,interpretability,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48.000000,2021-08-19 12:47:11.000000,2021-05-02 10:43:29.000000,183,29.0,23.0,903.0,307.0,Interpretability and explainability of data and machine learning models.,27.0,21,True,2020-10-28 09:32:21.000000,0.2.1,4.0,aix360,,,,,29.0,28.0,https://pypi.org/project/aix360,2020-10-28 09:18:17.000000,1.0,700.0,700.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n571,keras-ocr,faustomorales/keras-ocr,,ocr,https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50.000000,2021-06-30 10:06:10.000000,2021-06-18 05:03:36.000000,215,43.0,100.0,896.0,180.0,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,10.0,21,True,2021-06-14 13:06:32.000000,0.8.7,27.0,keras-ocr,,,,['tensorflow'],2.0,,https://pypi.org/project/keras-ocr,2021-06-14 13:06:32.000000,2.0,15073.0,23091.0,,,,,,,,3.0,88206.0,,,,,,,,,,,,,,,,,,,,\n572,lightning-flash,PyTorchLightning/lightning-flash,,pytorch-utils,https://github.com/PyTorchLightning/lightning-flash,https://github.com/PyTorchLightning/lightning-flash,Apache-2.0,2021-01-28 18:47:16.000000,2021-08-19 15:32:10.000000,2021-08-19 15:32:09.000000,80,115.0,153.0,889.0,547.0,\"Collection of tasks for fast prototyping, baselining, finetuning and solving problems with deep learning.\",39.0,21,True,2021-06-22 11:20:42.000000,0.4.0,22.0,lightning-flash,,,,['pytorch'],16.0,16.0,https://pypi.org/project/lightning-flash,2021-06-22 11:20:42.000000,0.0,947.0,947.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n573,tf-explain,sicara/tf-explain,,interpretability,https://github.com/sicara/tf-explain,https://github.com/sicara/tf-explain,MIT,2019-07-15 08:26:24.000000,2021-06-22 10:19:30.000000,2021-06-22 10:19:30.000000,81,34.0,48.0,850.0,199.0,Interpretability Methods for tf.keras models with Tensorflow 2.x.,15.0,21,True,2021-02-16 18:59:38.000000,0.3.0,7.0,tf-explain,,,,['tensorflow'],87.0,85.0,https://pypi.org/project/tf-explain,2021-02-16 18:59:38.000000,2.0,1501.0,1501.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n574,Madmom,CPJKU/madmom,,audio,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06.000000,2021-05-06 10:13:17.000000,2019-12-19 14:46:37.000000,132,54.0,182.0,784.0,1722.0,Python audio and music signal processing library.,19.0,21,False,2018-11-14 14:57:41.000000,0.16.1,11.0,madmom,,,,,171.0,137.0,https://pypi.org/project/madmom,2018-11-14 14:56:22.000000,34.0,4975.0,4975.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n575,Satpy,pytroll/satpy,,geospatial-data,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000000,2021-08-19 13:12:01.000000,2021-08-18 18:41:12.000000,201,307.0,376.0,735.0,,Python package for earth-observing satellite data processing.,112.0,21,False,2021-08-13 07:16:18.000000,0.24.0,68.0,satpy,conda-forge/satpy,,,,51.0,45.0,https://pypi.org/project/satpy,2021-06-06 14:38:31.000000,6.0,1425.0,3340.0,https://anaconda.org/conda-forge/satpy,2021-06-06 21:57:26.187000,70870.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n576,Prince,MaxHalford/prince,,others,https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000000,2021-04-15 19:05:12.000000,2021-01-11 21:14:58.000000,123,33.0,66.0,681.0,179.0,\"Python factor analysis library (PCA, CA, MCA, MFA, FAMD).\",9.0,21,True,2020-10-06 11:26:47.000000,0.7.1,41.0,prince,,,,['sklearn'],148.0,142.0,https://pypi.org/project/prince,2020-10-06 11:26:47.000000,6.0,21569.0,21569.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n577,TreeInterpreter,andosa/treeinterpreter,,interpretability,https://github.com/andosa/treeinterpreter,https://github.com/andosa/treeinterpreter,BSD-3-Clause,2015-08-02 20:26:21.000000,2021-02-28 18:33:06.000000,2021-02-28 18:33:06.000000,132,24.0,4.0,676.0,37.0,Package for interpreting scikit-learn's decision tree and random forest predictions.,11.0,21,True,2021-01-10 20:12:39.000000,0.2.3,5.0,treeinterpreter,,,,['sklearn'],175.0,157.0,https://pypi.org/project/treeinterpreter,2021-01-10 20:12:39.000000,18.0,235748.0,235748.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n578,sklearn-deap,rsteca/sklearn-deap,,hyperopt,https://github.com/rsteca/sklearn-deap,https://github.com/rsteca/sklearn-deap,MIT,2015-10-28 22:52:34.000000,2021-07-30 15:13:54.000000,2021-07-30 15:06:27.000000,114,21.0,33.0,649.0,104.0,Use evolutionary algorithms instead of gridsearch in scikit-learn.,22.0,21,True,2021-07-30 15:13:54.000000,0.3.0,14.0,sklearn-deap,,,,['sklearn'],27.0,25.0,https://pypi.org/project/sklearn-deap,2021-07-30 15:13:54.000000,2.0,1356.0,1356.0,,,,,,,,3.0,,3.0,,,,,,,,,,,,,,,,,,,\n579,explainerdashboard,oegedijk/explainerdashboard,,interpretability,https://github.com/oegedijk/explainerdashboard,https://github.com/oegedijk/explainerdashboard,MIT,2019-10-30 08:26:16.000000,2021-07-08 17:17:35.000000,2021-07-08 17:17:31.000000,80,10.0,105.0,621.0,1213.0,Quickly build Explainable AI dashboards that show the inner workings of so-called blackbox machine learning models.,12.0,21,True,2021-07-08 14:22:49.000000,0.3.6.2,77.0,explainerdashboard,,,,,37.0,37.0,https://pypi.org/project/explainerdashboard,2021-07-08 14:24:19.000000,,7843.0,7843.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n580,pdpipe,pdpipe/pdpipe,,data-pipelines,https://github.com/pdpipe/pdpipe,https://github.com/pdpipe/pdpipe,MIT,2017-01-24 20:37:22.000000,2021-08-18 12:06:48.000000,2021-08-18 12:05:57.000000,28,7.0,15.0,615.0,345.0,Easy pipelines for pandas DataFrames.,8.0,21,True,2021-08-18 12:06:48.000000,0.0.56,52.0,pdpipe,,,,['pandas'],34.0,34.0,https://pypi.org/project/pdpipe,2021-08-18 12:06:48.000000,0.0,2029.0,2029.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n581,pickleDB,patx/pickledb,,data-containers,https://github.com/patx/pickledb,https://github.com/patx/pickledb,BSD-3-Clause,2011-10-28 00:04:40.000000,2021-03-23 21:52:22.000000,2019-11-15 03:38:30.000000,101,22.0,39.0,594.0,105.0,pickleDB is an open source key-value store using Python's json module.,12.0,21,False,2019-01-14 18:48:25.000000,0.9.2,20.0,pickledb,,,,,795.0,683.0,https://pypi.org/project/pickledb,2019-01-14 18:48:25.000000,112.0,13324.0,13324.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n582,scikit-lego,koaning/scikit-lego,,sklearn-utils,https://github.com/koaning/scikit-lego,https://github.com/koaning/scikit-lego,MIT,2019-01-21 15:30:15.000000,2021-07-03 14:39:23.330000,2021-07-03 12:36:19.000000,75,25.0,198.0,567.0,,Extra blocks for scikit-learn pipelines.,47.0,21,True,2021-07-03 12:36:43.000000,0.6.8,34.0,scikit-lego,conda-forge/scikit-lego,,,['sklearn'],29.0,29.0,https://pypi.org/project/scikit-lego,2021-07-03 12:38:43.000000,0.0,16768.0,17384.0,https://anaconda.org/conda-forge/scikit-lego,2021-07-03 14:39:23.330000,13573.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n583,FiftyOne,voxel51/fiftyone,,data-viz,https://github.com/voxel51/fiftyone,https://github.com/voxel51/fiftyone,Apache-2.0,2020-04-22 13:43:28.000000,2021-08-19 15:29:36.000000,2021-08-17 19:11:47.000000,62,145.0,346.0,541.0,5467.0,\"Visualize, create, and debug image and video datasets and model predictions.\",17.0,21,True,2021-08-10 14:30:39.000000,desktop-v0.14.0,58.0,fiftyone,,,,\"['tensorflow', 'pytorch', 'jupyter']\",10.0,10.0,https://pypi.org/project/fiftyone,2021-08-10 14:06:33.000000,0.0,6860.0,6860.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n584,combo,yzhao062/combo,,sklearn-utils,https://github.com/yzhao062/combo,https://github.com/yzhao062/combo,BSD-2-Clause,2019-07-14 01:13:36.000000,2021-03-29 00:05:33.000000,2021-03-15 01:39:54.000000,90,9.0,3.0,530.0,202.0,(AAAI' 20) A Python Toolbox for Machine Learning Model Combination.,1.0,21,True,2020-12-23 02:21:49.000000,0.1.2,12.0,combo,,,,\"['sklearn', 'xgboost']\",382.0,382.0,https://pypi.org/project/combo,2020-12-23 02:21:49.000000,0.0,53463.0,53463.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n585,random-forest-importances,parrt/random-forest-importances,,interpretability,https://github.com/parrt/random-forest-importances,https://github.com/parrt/random-forest-importances,MIT,2018-03-22 19:20:13.000000,2021-01-30 21:50:08.000000,2021-01-30 21:50:02.000000,101,4.0,28.0,469.0,249.0,Code to compute permutation and drop-column importances in Python scikit-learn models.,14.0,21,True,2021-01-28 23:23:17.000000,1.3.7,22.0,rfpimp,,,,['sklearn'],80.0,76.0,https://pypi.org/project/rfpimp,2021-01-28 23:19:33.000000,4.0,20459.0,20459.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n586,AutoViz,AutoViML/AutoViz,,data-viz,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06.000000,2021-07-01 13:34:56.000000,2021-07-01 13:32:23.000000,73,4.0,26.0,445.0,98.0,\"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..\",10.0,21,True,2021-07-01 13:34:56.000000,0.0.83,27.0,autoviz,,,,,80.0,80.0,https://pypi.org/project/autoviz,2021-07-01 13:34:56.000000,0.0,3456.0,3456.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n587,pivottablejs,nicolaskruchten/jupyter_pivottablejs,,data-viz,https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,MIT,2015-09-09 13:39:18.000000,2018-12-04 14:43:26.000000,2018-12-04 14:43:25.000000,59,16.0,37.0,440.0,32.0,\"Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js.\",3.0,21,False,2018-01-15 18:14:37.000000,0.9.0,10.0,pivottablejs,,,,['jupyter'],214.0,180.0,https://pypi.org/project/pivottablejs,2018-01-15 18:14:37.000000,34.0,13825.0,13825.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n588,Neuraxle,Neuraxio/Neuraxle,,hyperopt,https://github.com/Neuraxio/Neuraxle,https://github.com/Neuraxio/Neuraxle,Apache-2.0,2019-03-26 21:01:54.000000,2021-07-27 10:43:40.000000,2021-07-26 20:57:55.000000,50,147.0,162.0,439.0,1558.0,A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right..,7.0,21,True,2021-06-29 01:10:09.000000,0.6.0,21.0,neuraxle,,,,,21.0,21.0,https://pypi.org/project/neuraxle,2021-06-29 00:24:34.000000,0.0,401.0,401.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n589,skope-rules,scikit-learn-contrib/skope-rules,,sklearn-utils,https://github.com/scikit-learn-contrib/skope-rules,https://github.com/scikit-learn-contrib/skope-rules,BSD-1-Clause,2018-02-18 13:42:47.000000,2021-05-12 08:25:18.000000,2020-10-23 14:31:57.000000,67,23.0,5.0,411.0,247.0,machine learning with logical rules in Python.,18.0,21,False,2020-12-11 09:37:02.000000,1.0.1,4.0,skope-rules,,,,['sklearn'],49.0,43.0,https://pypi.org/project/skope-rules,2020-01-25 12:01:37.000000,6.0,75214.0,75214.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n590,torch-cluster,rusty1s/pytorch_cluster,,graph,https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06.000000,2021-08-18 08:06:41.000000,2021-08-18 08:06:40.000000,77,40.0,45.0,399.0,546.0,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,18.0,21,True,2021-03-01 13:58:47.000000,1.5.9,39.0,torch-cluster,,,,['pytorch'],32.0,,https://pypi.org/project/torch-cluster,2021-03-01 12:28:43.000000,32.0,7500.0,7500.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n591,lazypredict,shankarpandala/lazypredict,,hyperopt,https://github.com/shankarpandala/lazypredict,https://github.com/shankarpandala/lazypredict,MIT,2019-11-16 09:56:35.000000,2021-07-13 17:13:10.000000,2021-07-13 17:13:10.000000,84,23.0,30.0,380.0,195.0,Lazy Predict help build a lot of basic models without much code and helps understand which models works better without..,14.0,21,True,2021-02-17 15:38:45.000000,0.2.9,11.0,lazypredict,,,,['sklearn'],129.0,129.0,https://pypi.org/project/lazypredict,2021-02-17 15:38:45.000000,,5447.0,5447.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n592,ploomber,ploomber/ploomber,,data-pipelines,https://github.com/ploomber/ploomber,https://github.com/ploomber/ploomber,Apache-2.0,2020-01-20 20:13:06.000000,2021-08-16 16:25:23.000000,2021-08-16 15:59:57.000000,10,50.0,263.0,378.0,1965.0,\"Write maintainable, production-ready pipelines using Jupyter or your favorite text editor. Develop locally, deploy to..\",6.0,21,True,2021-08-16 16:25:23.000000,0.12.5,51.0,ploomber,,,,,13.0,13.0,https://pypi.org/project/ploomber,2021-08-16 16:25:23.000000,0.0,3534.0,3534.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n593,optunity,claesenm/optunity,,hyperopt,https://github.com/claesenm/optunity,https://github.com/claesenm/optunity,BSD-3-Clause,2014-05-28 17:29:11.000000,2020-05-11 14:32:39.000000,2020-05-11 14:32:38.000000,72,47.0,48.0,374.0,782.0,optimization routines for hyperparameter tuning.,9.0,21,False,2015-09-30 05:02:00.000000,1.1.1,6.0,optunity,,,,,87.0,63.0,https://pypi.org/project/optunity,2015-09-30 05:02:00.000000,24.0,15881.0,15881.0,,,,,,,,3.0,67.0,,,,,,,,,,,,,,,,,,,,\n594,Pandas Summary,mouradmourafiq/pandas-summary,,data-containers,https://github.com/mouradmourafiq/pandas-summary,https://github.com/mouradmourafiq/pandas-summary,MIT,2016-03-25 21:59:32.000000,2019-08-24 21:10:25.000000,2019-08-24 21:10:24.000000,34,8.0,5.0,364.0,24.0,An extension to pandas dataframes describe function.,6.0,21,False,2016-08-30 07:54:59.000000,0.0.41,8.0,pandas-summary,,,,['pandas'],740.0,650.0,https://pypi.org/project/pandas-summary,2016-08-30 07:54:59.000000,90.0,31110.0,31110.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n595,MedPy,loli/medpy,,medical-data,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34.000000,2020-05-01 15:25:39.000000,2020-05-01 15:25:38.000000,111,12.0,67.0,359.0,324.0,Medical image processing in Python.,13.0,21,False,2019-02-14 17:12:59.000000,0.4.0,6.0,MedPy,,,,,384.0,354.0,https://pypi.org/project/MedPy,2019-02-14 17:12:59.000000,30.0,9256.0,9256.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n596,joypy,leotac/joypy,,data-viz,https://github.com/leotac/joypy,https://github.com/leotac/joypy,MIT,2017-07-30 17:18:50.000000,2021-07-27 16:03:44.000000,2021-06-13 10:07:43.000000,36,7.0,36.0,343.0,111.0,Joyplots in Python with matplotlib & pandas.,5.0,21,True,2020-12-28 11:54:36.000000,0.2.4,16.0,joypy,conda-forge/joypy,,,,97.0,91.0,https://pypi.org/project/joypy,2020-12-28 11:54:36.000000,6.0,20706.0,21074.0,https://anaconda.org/conda-forge/joypy,2020-12-28 14:07:53.760000,10684.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n597,scikit-rebate,EpistasisLab/scikit-rebate,,others,https://github.com/EpistasisLab/scikit-rebate,https://github.com/EpistasisLab/scikit-rebate,MIT,2016-09-19 13:36:17.000000,2021-05-18 21:20:09.000000,2021-02-15 17:10:59.000000,59,13.0,19.0,327.0,283.0,\"A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for..\",13.0,21,True,2017-04-12 16:12:01.000000,0.3.4,13.0,skrebate,,,,['sklearn'],204.0,142.0,https://pypi.org/project/skrebate,2021-03-20 17:11:52.000000,62.0,5284.0,5284.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n598,sklearn-evaluation,edublancas/sklearn-evaluation,,interpretability,https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2015-09-04 16:33:42.000000,2021-07-10 03:58:35.000000,2021-07-10 03:58:32.000000,28,8.0,29.0,312.0,523.0,\"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook..\",6.0,21,True,2021-06-26 14:03:00.000000,0.5.6,18.0,sklearn-evaluation,,,,['sklearn'],31.0,29.0,https://pypi.org/project/sklearn-evaluation,2021-06-26 14:01:25.000000,2.0,1365.0,1365.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n599,Hyperactive,SimonBlanke/Hyperactive,,hyperopt,https://github.com/SimonBlanke/Hyperactive,https://github.com/SimonBlanke/Hyperactive,MIT,2018-11-01 08:53:30.000000,2021-08-19 11:32:31.000000,2021-08-19 11:32:31.000000,27,3.0,24.0,288.0,1928.0,An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.,3.0,21,False,2021-07-07 12:40:57.000000,3.2.4,56.0,hyperactive,,,,,9.0,9.0,https://pypi.org/project/hyperactive,2021-07-02 12:19:28.000000,0.0,1403.0,1406.0,,,,,,,,3.0,97.0,,,,,,,,,,,,,,,,,,,,\n600,Auto ViML,AutoViML/Auto_ViML,,hyperopt,https://github.com/AutoViML/Auto_ViML,https://github.com/AutoViML/Auto_ViML,Apache-2.0,2019-06-10 13:09:15.000000,2021-07-25 14:31:54.000000,2021-07-25 14:30:59.000000,63,4.0,14.0,279.0,292.0,Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome...,6.0,21,False,2021-05-17 02:25:55.000000,0.1.682,132.0,autoviml,,,,,13.0,13.0,https://pypi.org/project/autoviml,2021-07-25 14:31:54.000000,0.0,1720.0,1720.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n601,StaticFrame,InvestmentSystems/static-frame,,data-containers,https://github.com/InvestmentSystems/static-frame,https://github.com/InvestmentSystems/static-frame,MIT,2018-01-03 15:07:52.000000,2021-08-19 05:03:37.000000,2021-08-19 05:03:22.000000,23,34.0,291.0,236.0,2805.0,Immutable and grow-only Pandas-like DataFrames with a more explicit and consistent interface.,16.0,21,False,2021-08-08 21:26:04.000000,0.8.17,116.0,static-frame,conda-forge/static-frame,,,,9.0,9.0,https://pypi.org/project/static-frame,2021-08-08 21:24:34.000000,0.0,2437.0,6006.0,https://anaconda.org/conda-forge/static-frame,2021-08-08 23:18:01.680000,107071.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n602,scikit-posthocs,maximtrp/scikit-posthocs,,probabilistics,https://github.com/maximtrp/scikit-posthocs,https://github.com/maximtrp/scikit-posthocs,MIT,2017-06-22 19:41:37.000000,2021-08-04 18:39:31.000000,2021-08-04 18:39:31.000000,23,4.0,37.0,216.0,462.0,Multiple Pairwise Comparisons (Post Hoc) Tests in Python.,8.0,21,False,2021-03-17 06:05:28.000000,0.6.7,21.0,scikit-posthocs,,,,['sklearn'],6.0,,https://pypi.org/project/scikit-posthocs,2021-03-15 16:05:51.000000,6.0,26044.0,26044.0,,,,,,,,3.0,23.0,,,,,,,,,,,,,,,,,,,,\n603,dbnd,databand-ai/dbnd,,data-pipelines,https://github.com/databand-ai/dbnd,https://github.com/databand-ai/dbnd,Apache-2.0,2020-01-02 10:42:47.000000,2021-08-19 13:52:46.000000,2021-08-19 13:17:18.000000,16,2.0,2.0,197.0,42.0,DBND is an agile pipeline framework that helps data engineering teams track and orchestrate their data processes.,15.0,21,False,2021-08-15 14:51:12.000000,0.46.5,195.0,dbnd,,,,,25.0,25.0,https://pypi.org/project/dbnd,2021-08-19 13:48:52.000000,0.0,97125.0,97125.0,,,,,,,,3.0,,-3.0,,,,,,,,,,,,,,,,,,,\n604,huggingface_hub,huggingface/huggingface_hub,,model-serialisation,https://github.com/huggingface/huggingface_hub,https://github.com/huggingface/huggingface_hub,Apache-2.0,2020-12-22 10:20:28.000000,2021-08-19 15:11:36.000000,2021-08-17 16:07:27.000000,33,58.0,41.0,189.0,,all the open source things related to the Hugging Face Hub.,32.0,21,False,2021-07-28 18:44:45.000000,0.0.15,17.0,huggingface_hub,conda-forge/huggingface_hub,,,,0.0,,https://pypi.org/project/huggingface_hub,2021-07-28 12:32:56.000000,0.0,1655943.0,1657474.0,https://anaconda.org/conda-forge/huggingface_hub,2021-07-29 12:26:54.862000,9186.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n605,Glow,projectglow/glow,,medical-data,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47.000000,2021-08-05 19:25:06.000000,2021-08-05 19:25:06.000000,47,35.0,67.0,172.0,331.0,An open-source toolkit for large-scale genomic analysis.,15.0,21,False,2021-04-28 00:07:10.000000,1.0.1,11.0,glow.py,,,,,,,https://pypi.org/project/glow.py,2021-04-28 00:05:18.000000,,75704.0,75704.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n606,Dejavu,worldveil/dejavu,,audio,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35.000000,2020-10-29 17:40:17.000000,2020-06-03 05:58:03.000000,1250,84.0,129.0,5497.0,146.0,Audio fingerprinting and recognition in Python.,23.0,20,False,2015-04-19 21:20:16.000000,0.1.3,4.0,PyDejavu,,,,,21.0,18.0,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16.000000,3.0,117.0,117.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n607,cuDF,rapidsai/cudf,,gpu-utilities,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000000,2021-08-19 15:09:59.000000,2021-08-19 14:12:08.000000,539,632.0,3349.0,4115.0,,cuDF - GPU DataFrame Library.,220.0,20,True,2021-08-06 20:26:33.000000,21.08.02,15.0,cudf,,,,,4.0,,https://pypi.org/project/cudf,2020-06-01 20:07:47.000000,4.0,901.0,901.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n608,MindsDB,mindsdb/mindsdb,,ml-frameworks,https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,GPL-3.0,2018-08-02 17:56:45.000000,2021-08-19 13:52:22.000000,2021-08-10 15:20:28.000000,452,68.0,565.0,3873.0,,Predictive AI layer for existing databases.,56.0,20,False,2021-08-10 16:29:14.000000,2.45.2,65.0,mindsdb,,,,['pytorch'],6.0,,https://pypi.org/project/mindsdb,2019-03-19 05:07:23.000000,6.0,2662.0,2662.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n609,FATE,FederatedAI/FATE,,privacy-ml,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000000,2021-08-19 11:48:47.000000,2021-08-05 03:58:18.000000,964,324.0,607.0,3361.0,7617.0,An Industrial Grade Federated Learning Framework.,58.0,20,True,2021-07-29 11:56:10.000000,1.5.2,27.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n610,NLP Architect,IntelLabs/nlp-architect,,nlp,https://github.com/IntelLabs/nlp-architect,https://github.com/IntelLabs/nlp-architect,Apache-2.0,2018-05-17 21:00:13.000000,2021-06-10 23:23:07.000000,2021-04-13 08:02:56.000000,431,17.0,111.0,2714.0,953.0,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,36.0,20,True,2020-11-17 12:32:37.000000,0.5.5.1,13.0,nlp-architect,,,,,8.0,8.0,https://pypi.org/project/nlp-architect,2020-04-12 11:34:38.000000,,407.0,407.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n611,dpark,douban/dpark,,data-pipelines,https://github.com/douban/dpark,https://github.com/douban/dpark,BSD-3-Clause,2012-04-11 08:35:06.000000,2020-12-25 10:36:06.000000,2020-12-25 10:36:05.000000,554,,60.0,2659.0,1467.0,\"Python clone of Spark, a MapReduce alike framework in Python.\",35.0,20,True,2018-07-27 04:11:36.000000,0.5.0,19.0,dpark,,,,['spark'],4.0,3.0,https://pypi.org/project/dpark,2018-07-27 04:11:36.000000,1.0,76.0,76.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n612,Kashgari,BrikerMan/Kashgari,,nlp,https://github.com/BrikerMan/Kashgari,https://github.com/BrikerMan/Kashgari,Apache-2.0,2019-01-19 01:53:28.000000,2021-07-09 03:57:16.000000,2021-07-09 03:57:16.000000,411,34.0,318.0,2157.0,,Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-..,21.0,20,True,2021-07-04 10:44:36.000000,2.0.2,24.0,kashgari-tf,,,,['tensorflow'],42.0,40.0,https://pypi.org/project/kashgari-tf,2019-10-18 07:57:55.000000,2.0,138.0,138.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n613,Coqui TTS,coqui-ai/TTS,,audio,https://github.com/coqui-ai/TTS,https://github.com/coqui-ai/TTS,MPL-2.0,2020-05-20 15:45:28.000000,2021-08-19 13:53:13.000000,2021-08-11 08:29:27.000000,162,27.0,103.0,2035.0,,\"- a deep learning toolkit for Text-to-Speech, battle-tested in research and production.\",77.0,20,True,2021-08-11 08:43:19.000000,0.2.0,13.0,tts,,,,\"['pytorch', 'tensorflow']\",,,https://pypi.org/project/tts,2017-07-14 20:02:42.000000,,2372.0,6210.0,,,,,,,,3.0,19193.0,,,,,,,,,,,,,,,,,,,,\n614,Coach,IntelLabs/coach,,reinforcement-learning,https://github.com/IntelLabs/coach,https://github.com/IntelLabs/coach,Apache-2.0,2017-10-01 19:27:43.000000,2021-06-28 07:40:53.000000,2021-06-28 07:40:53.000000,393,86.0,183.0,2019.0,521.0,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,35.0,20,True,2019-10-10 14:17:10.000000,1.0.1,13.0,rl_coach,,,,,2.0,,https://pypi.org/project/rl_coach,2019-10-10 14:17:10.000000,2.0,241.0,241.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n615,fast-bert,utterworks/fast-bert,,nlp,https://github.com/utterworks/fast-bert,https://github.com/utterworks/fast-bert,Apache-2.0,2019-04-18 22:01:20.000000,2021-08-02 08:09:20.000000,2021-08-02 08:09:20.000000,321,146.0,93.0,1623.0,,Super easy library for BERT based NLP models.,35.0,20,True,2021-05-23 14:35:28.000000,1.9.9,43.0,fast-bert,,,,,2.0,,https://pypi.org/project/fast-bert,2021-05-23 14:35:28.000000,2.0,1494.0,1494.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n616,auto_ml,ClimbsRocks/auto_ml,,hyperopt,https://github.com/ClimbsRocks/auto_ml,https://github.com/ClimbsRocks/auto_ml,MIT,2016-08-07 21:35:08.000000,2021-02-10 07:52:35.000000,2018-03-25 19:46:25.000000,294,185.0,216.0,1547.0,1149.0,[UNMAINTAINED] Automated machine learning for analytics & production.,13.0,20,False,2018-02-22 01:13:03.000000,2.9.10,78.0,auto_ml,,,,,2.0,,https://pypi.org/project/auto_ml,2018-02-22 01:13:03.000000,2.0,3874.0,3874.0,,,,,,,,3.0,38.0,,,,,,,,,,,,,,,,,,,,\n617,DELTA,Delta-ML/delta,,nlp,https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57.000000,2021-08-03 14:50:00.516864,2020-12-17 06:57:15.000000,292,5.0,72.0,1449.0,932.0,DELTA is a deep learning based natural language and speech processing platform.,41.0,20,True,2020-07-16 09:31:45.000000,0.3.3,4.0,delta-nlp,,zh794390558/delta,,['tensorflow'],,,https://pypi.org/project/delta-nlp,2020-03-27 04:46:19.000000,,41.0,524.0,,,,https://hub.docker.com/r/zh794390558/delta,2021-08-03 14:50:00.516864,,13043.0,3.0,,,,,,,,,,,,,,,,,,,,,\n618,DLTK,DLTK/DLTK,,medical-data,https://github.com/DLTK/DLTK,https://github.com/DLTK/DLTK,Apache-2.0,2017-05-02 15:40:36.000000,2021-01-15 01:31:30.000000,2019-01-21 14:01:28.000000,385,11.0,24.0,1263.0,379.0,Deep Learning Toolkit for Medical Image Analysis.,9.0,20,False,2018-02-26 17:43:57.000000,0.2.1,5.0,dltk,,,,['tensorflow'],20.0,20.0,https://pypi.org/project/dltk,2018-02-26 17:43:57.000000,,222.0,222.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n619,Paddle Graph Learning,PaddlePaddle/PGL,,graph,https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28.000000,2021-08-18 04:13:25.000000,2021-08-05 02:47:21.000000,171,31.0,59.0,1099.0,,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,19.0,20,True,2021-07-10 15:12:05.000000,2.1.5,13.0,pgl,,,,['paddle'],20.0,18.0,https://pypi.org/project/pgl,2021-07-10 15:12:05.000000,2.0,1048.0,1048.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n620,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,,pytorch-utils,https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000000,2021-08-12 07:50:57.000000,2021-08-12 07:50:56.000000,78,3.0,17.0,1089.0,744.0,PyTorch extensions for fast R&D prototyping and Kaggle farming.,6.0,20,True,2021-08-12 07:49:51.000000,0.4.4,22.0,pytorch_toolbelt,,,,['pytorch'],2.0,,https://pypi.org/project/pytorch_toolbelt,2021-08-12 07:49:51.000000,2.0,13016.0,13016.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n621,fairlearn,fairlearn/fairlearn,,interpretability,https://github.com/fairlearn/fairlearn,https://github.com/fairlearn/fairlearn,MIT,2018-05-15 01:51:35.000000,2021-08-17 20:50:22.000000,2021-08-12 13:30:16.000000,240,123.0,167.0,1039.0,,A Python package to assess and improve fairness of machine learning models.,51.0,20,True,2021-07-07 08:16:09.000000,0.7.0,16.0,fairlearn,conda-forge/fairlearn,,,['sklearn'],2.0,,https://pypi.org/project/fairlearn,2021-07-07 05:54:23.000000,2.0,27629.0,28422.0,https://anaconda.org/conda-forge/fairlearn,2021-07-07 15:56:16.605000,14291.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n622,Sockeye,awslabs/sockeye,,nlp,https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30.000000,2021-08-13 21:26:14.000000,2021-08-11 23:27:16.000000,295,20.0,230.0,1014.0,752.0,Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet.,52.0,20,True,2021-06-17 10:51:22.000000,2.3.17,64.0,sockeye,,,,['mxnet'],2.0,,https://pypi.org/project/sockeye,2021-06-17 10:51:22.000000,2.0,678.0,678.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n623,TensorNets,taehoonlee/tensornets,,tensorflow-utils,https://github.com/taehoonlee/tensornets,https://github.com/taehoonlee/tensornets,MIT,2017-09-19 05:19:01.000000,2021-01-02 06:28:10.000000,2021-01-02 06:26:24.000000,185,14.0,42.0,993.0,284.0,High level network definitions with pre-trained weights in TensorFlow.,6.0,20,True,2020-03-31 04:38:27.000000,0.4.6,12.0,tensornets,,,,['tensorflow'],44.0,40.0,https://pypi.org/project/tensornets,2020-03-31 04:35:15.000000,4.0,343.0,343.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n624,fastFM,ibayer/fastFM,,recommender-systems,https://github.com/ibayer/fastFM,https://github.com/ibayer/fastFM,BSD-3-Clause,2014-10-27 12:25:51.000000,2021-03-24 12:22:31.000000,2021-03-24 12:22:31.000000,186,44.0,59.0,929.0,297.0,fastFM: A Library for Factorization Machines.,20.0,20,True,2017-11-23 06:59:56.000000,0.2.11,10.0,fastfm,,,,,93.0,85.0,https://pypi.org/project/fastfm,2017-11-23 06:59:56.000000,8.0,869.0,874.0,,,,,,,,3.0,398.0,,,,,,,,,,,,,,,,,,,,\n625,geoplotlib,andrea-cuttone/geoplotlib,,geospatial-data,https://github.com/andrea-cuttone/geoplotlib,https://github.com/andrea-cuttone/geoplotlib,MIT,2015-02-24 13:13:07.000000,2020-04-10 20:00:31.000000,2019-05-06 07:06:50.000000,155,30.0,18.0,928.0,159.0,python toolbox for visualizing geographical data and making maps.,8.0,20,False,2016-07-27 14:55:01.000000,0.3.2,4.0,geoplotlib,,,,,121.0,110.0,https://pypi.org/project/geoplotlib,2016-07-27 14:55:01.000000,11.0,942.0,942.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n626,DALEX,ModelOriented/DALEX,,interpretability,https://github.com/ModelOriented/DALEX,https://github.com/ModelOriented/DALEX,GPL-3.0,2018-02-18 03:24:12.000000,2021-08-19 13:57:31.000000,2021-08-19 13:52:25.000000,118,16.0,295.0,876.0,578.0,moDel Agnostic Language for Exploration and eXplanation.,20.0,20,False,2021-07-17 14:35:51.000000,1.3.0,21.0,dalex,,,,,18.0,18.0,https://pypi.org/project/dalex,2021-07-17 14:35:51.000000,0.0,7147.0,7147.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n627,attention-ocr,emedvedev/attention-ocr,,ocr,https://github.com/emedvedev/attention-ocr,https://github.com/emedvedev/attention-ocr,MIT,2017-07-21 18:35:19.000000,2021-02-23 04:33:25.000000,2020-10-31 19:40:19.000000,233,21.0,126.0,873.0,196.0,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,27.0,20,True,2020-10-12 06:56:40.000000,0.7.6,21.0,aocr,,,,['tensorflow'],18.0,18.0,https://pypi.org/project/aocr,2019-04-19 05:28:27.000000,,808.0,808.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n628,nude.py,hhatto/nude.py,,image,https://github.com/hhatto/nude.py,https://github.com/hhatto/nude.py,MIT,2013-06-09 06:55:55.000000,2020-11-23 13:49:32.000000,2020-11-23 13:49:02.000000,131,7.0,2.0,813.0,79.0,Nudity detection with Python.,12.0,20,True,2020-11-23 13:49:17.000000,0.5.1,10.0,nudepy,,,,,682.0,664.0,https://pypi.org/project/nudepy,2020-11-23 13:49:17.000000,18.0,3668.0,3668.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n629,AstroML,astroML/astroML,,others,https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50.000000,2021-08-04 16:00:40.000000,2021-04-07 06:12:17.000000,271,53.0,84.0,768.0,,\"Machine learning, statistics, and data mining for astronomy and astrophysics.\",30.0,20,True,2019-10-02 06:32:58.000000,0.4.1,10.0,astroML,conda-forge/astroml,,,['sklearn'],29.0,,https://pypi.org/project/astroML,2020-03-23 23:20:49.000000,29.0,1171.0,1693.0,https://anaconda.org/conda-forge/astroml,2020-02-16 04:18:54.678000,25098.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n630,NGT,yahoojapan/NGT,,nn-search,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000000,2021-07-15 06:52:25.000000,2021-07-15 06:52:25.000000,78,7.0,74.0,767.0,131.0,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,12.0,20,True,2021-03-12 02:52:55.000000,1.13.5,49.0,ngt,,,,,6.0,,https://pypi.org/project/ngt,2020-09-23 06:52:45.000000,6.0,12649.0,12649.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n631,YouTokenToMe,vkcom/youtokentome,,nlp,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28.000000,2021-01-28 23:05:01.000000,2021-01-28 19:04:09.000000,49,25.0,22.0,754.0,79.0,Unsupervised text tokenizer focused on computational efficiency.,6.0,20,True,2020-02-13 09:57:47.000000,1.0.6,14.0,youtokentome,,,,,154.0,142.0,https://pypi.org/project/youtokentome,2020-02-12 18:24:46.000000,12.0,15001.0,15001.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n632,Saliency,PAIR-code/saliency,,tensorflow-utils,https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35.000000,2021-07-28 22:22:28.000000,2021-07-28 22:22:27.000000,159,14.0,26.0,706.0,79.0,\"Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).\",14.0,20,True,2021-05-03 16:33:29.000000,0.1.3,10.0,saliency,,,,['tensorflow'],20.0,18.0,https://pypi.org/project/saliency,2021-05-03 16:33:29.000000,2.0,353.0,353.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n633,mlens,flennerhag/mlens,,others,https://github.com/flennerhag/mlens,https://github.com/flennerhag/mlens,MIT,2017-01-10 20:53:47.000000,2020-02-25 14:32:48.000000,2020-02-25 14:31:53.000000,89,8.0,73.0,696.0,879.0,ML-Ensemble high performance ensemble learning.,7.0,20,False,2018-10-30 22:34:35.000000,0.2.3,14.0,mlens,,,,,151.0,148.0,https://pypi.org/project/mlens,2018-10-30 22:30:43.000000,3.0,3389.0,3389.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n634,NearPy,pixelogik/NearPy,,nn-search,https://github.com/pixelogik/NearPy,https://github.com/pixelogik/NearPy,MIT,2013-04-25 09:10:26.000000,2020-02-17 20:24:08.000000,2018-10-21 17:54:28.000000,140,24.0,38.0,684.0,159.0,\"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..\",18.0,20,False,2016-09-27 13:04:44.000000,1.0.0,8.0,NearPy,,,,,70.0,54.0,https://pypi.org/project/NearPy,2016-09-27 13:03:12.000000,16.0,2477.0,2477.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n635,PFRL,pfnet/pfrl,,reinforcement-learning,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50.000000,2021-07-17 16:40:09.000000,2021-07-07 02:39:27.000000,86,22.0,30.0,680.0,382.0,PFRL: a PyTorch-based deep reinforcement learning library.,14.0,20,True,2021-07-07 02:43:23.000000,0.3.0,5.0,pfrl,,,,,22.0,22.0,https://pypi.org/project/pfrl,2021-07-07 02:48:20.000000,0.0,663.0,663.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n636,RLax,deepmind/rlax,,reinforcement-learning,https://github.com/deepmind/rlax,https://github.com/deepmind/rlax,Apache-2.0,2020-02-18 07:14:59.000000,2021-08-13 16:18:12.000000,2021-07-08 18:27:05.000000,49,7.0,6.0,660.0,118.0,A library of reinforcement learning building blocks in JAX.,12.0,20,True,2021-07-08 18:31:19.000000,0.0.4,4.0,rlax,,,,['jax'],23.0,23.0,https://pypi.org/project/rlax,2020-02-19 23:01:30.000000,,1163.0,1163.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n637,finetune,IndicoDataSolutions/finetune,,nlp,https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16.000000,2021-08-17 13:46:26.000000,2021-08-17 13:46:23.000000,69,21.0,115.0,648.0,1201.0,Scikit-learn style model finetuning for NLP.,19.0,20,True,2020-01-10 22:42:24.000000,0.8.6,37.0,finetune,,,,\"['tensorflow', 'sklearn']\",11.0,9.0,https://pypi.org/project/finetune,2020-01-10 22:42:24.000000,2.0,196.0,196.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n638,Orbit,uber/orbit,,probabilistics,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000000,2021-08-19 05:34:13.000000,2021-08-05 05:28:44.000000,47,33.0,201.0,644.0,663.0,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,12.0,20,True,2021-08-02 22:15:29.000000,1.0.15,13.0,orbit-ml,,,,,4.0,4.0,https://pypi.org/project/orbit-ml,2021-08-02 22:15:29.000000,0.0,4659.0,4659.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n639,Feature Engine,solegalli/feature_engine,,others,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2020-08-06 19:43:35.639000,2021-08-09 10:22:55.000000,2021-08-06 12:03:40.000000,168,,,601.0,,Feature engineering package with sklearn like functionality.,24.0,20,True,2021-06-22 08:04:44.000000,1.1.0,27.0,feature_engine,conda-forge/feature_engine,,,,2.0,,https://pypi.org/project/feature_engine,2021-08-06 13:07:57.000000,2.0,28462.0,28836.0,https://anaconda.org/conda-forge/feature_engine,2021-08-06 16:51:22.906000,4488.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n640,pyhsmm,mattjj/pyhsmm,,probabilistics,https://github.com/mattjj/pyhsmm,https://github.com/mattjj/pyhsmm,MIT,2012-03-18 17:40:13.000000,2020-09-29 20:58:26.000000,2020-08-24 17:03:59.000000,159,39.0,60.0,497.0,1426.0,Bayesian inference in HSMMs and HMMs.,13.0,20,True,2017-05-10 17:14:37.000000,0.1.7,8.0,pyhsmm,,,,,29.0,21.0,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37.000000,8.0,226.0,226.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n641,Poutyne,GRAAL-Research/poutyne,,pytorch-utils,https://github.com/GRAAL-Research/poutyne,https://github.com/GRAAL-Research/poutyne,LGPL-3.0,2017-12-07 18:30:17.000000,2021-08-17 14:56:31.000000,2021-06-09 17:53:33.000000,50,7.0,38.0,484.0,571.0,A simplified framework and utilities for PyTorch.,16.0,20,False,2021-05-22 14:42:18.000000,1.5,22.0,poutyne,,,,['pytorch'],65.0,61.0,https://pypi.org/project/poutyne,2021-05-22 14:42:36.000000,4.0,3273.0,3273.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n642,HpBandSter,automl/HpBandSter,,hyperopt,https://github.com/automl/HpBandSter,https://github.com/automl/HpBandSter,BSD-3-Clause,2017-12-17 20:28:20.000000,2021-01-31 10:05:37.000000,2019-03-26 09:26:28.000000,103,57.0,35.0,482.0,187.0,a distributed Hyperband implementation on Steroids.,11.0,20,False,2019-07-30 12:47:43.000000,1.0,8.0,hpbandster,,,,,172.0,156.0,https://pypi.org/project/hpbandster,2018-11-06 12:56:55.000000,16.0,25944.0,25944.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n643,seglearn,dmbee/seglearn,,time-series-data,https://github.com/dmbee/seglearn,https://github.com/dmbee/seglearn,BSD-3-Clause,2018-03-05 20:53:59.000000,2021-03-13 16:18:30.000000,2021-03-12 17:12:50.000000,49,5.0,23.0,472.0,268.0,Python module for machine learning time series:.,13.0,20,True,2021-03-13 16:18:30.000000,1.2.3,22.0,seglearn,,,,,11.0,10.0,https://pypi.org/project/seglearn,2021-03-13 16:18:30.000000,1.0,1201.0,1201.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n644,aequitas,dssg/aequitas,,interpretability,https://github.com/dssg/aequitas,https://github.com/dssg/aequitas,MIT,2018-02-13 19:40:30.000000,2021-07-13 10:19:56.000000,2021-05-27 09:45:10.000000,77,37.0,21.0,410.0,857.0,Bias and Fairness Audit Toolkit.,16.0,20,True,2020-12-16 11:48:14.000000,0.42.0,16.0,aequitas,,,,,83.0,77.0,https://pypi.org/project/aequitas,2020-12-16 11:48:14.000000,6.0,972.0,972.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n645,pydlm,wwrechard/pydlm,,time-series-data,https://github.com/wwrechard/pydlm,https://github.com/wwrechard/pydlm,BSD-3-Clause,2016-06-29 07:58:53.000000,2021-02-24 14:21:28.000000,2019-10-22 07:18:40.000000,86,35.0,8.0,399.0,362.0,A python library for Bayesian time series modeling.,6.0,20,False,2016-11-06 01:43:35.000000,0.1.1,13.0,pydlm,,,,,24.0,22.0,https://pypi.org/project/pydlm,2018-12-19 10:27:54.000000,2.0,16870.0,16870.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n646,DESlib,scikit-learn-contrib/DESlib,,sklearn-utils,https://github.com/scikit-learn-contrib/DESlib,https://github.com/scikit-learn-contrib/DESlib,BSD-3-Clause,2017-12-08 22:49:49.000000,2021-07-25 18:34:49.000000,2021-04-09 04:41:45.000000,73,14.0,127.0,341.0,272.0,A Python library for dynamic classifier and ensemble selection.,13.0,20,True,2021-02-08 06:29:25.000000,0.3.5,4.0,deslib,,,,['sklearn'],22.0,22.0,https://pypi.org/project/deslib,2021-02-08 06:29:25.000000,0.0,2433.0,2433.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n647,scikit-tda,scikit-tda/scikit-tda,,sklearn-utils,https://github.com/scikit-tda/scikit-tda,https://github.com/scikit-tda/scikit-tda,MIT,2018-04-13 21:00:31.000000,2021-08-03 00:23:20.000000,2021-08-03 00:21:54.000000,35,12.0,4.0,299.0,60.0,Topological Data Analysis for Python.,3.0,20,False,2021-08-03 00:23:20.000000,1.0.0,4.0,scikit-tda,,,,['sklearn'],21.0,21.0,https://pypi.org/project/scikit-tda,2021-08-03 00:23:20.000000,,3991.0,3991.0,,,,,,,,3.0,,3.0,,,,,,,,,,,,,,,,,,,\n648,impyute,eltonlaw/impyute,,others,https://github.com/eltonlaw/impyute,https://github.com/eltonlaw/impyute,MIT,2017-01-21 09:16:27.000000,2020-06-12 21:08:40.000000,2019-10-05 20:39:08.000000,42,27.0,36.0,286.0,289.0,Data imputations library to preprocess datasets with missing data.,10.0,20,False,2019-04-29 02:31:32.000000,0.0.8,8.0,impyute,,,,,116.0,112.0,https://pypi.org/project/impyute,2019-04-29 02:31:32.000000,4.0,2358.0,2358.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n649,EarthPy,earthlab/earthpy,,geospatial-data,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000000,2021-08-18 19:10:15.000000,2021-07-01 19:57:43.000000,116,20.0,205.0,284.0,,A package built to support working with spatial data using open source python.,40.0,20,False,2020-06-18 23:58:08.000000,0.9.2,22.0,earthpy,conda-forge/earthpy,,,,106.0,100.0,https://pypi.org/project/earthpy,2020-06-18 23:58:08.000000,6.0,3408.0,4674.0,https://anaconda.org/conda-forge/earthpy,2020-06-19 15:23:44.425000,35457.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n650,SUOD,yzhao062/SUOD,,others,https://github.com/yzhao062/SUOD,https://github.com/yzhao062/SUOD,BSD-2-Clause,2019-11-20 00:23:54.000000,2021-01-19 14:42:08.000000,2021-01-19 14:42:01.000000,32,3.0,2.0,282.0,134.0,(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection).,1.0,20,False,2021-01-15 02:12:04.000000,0.0.6,7.0,suod,,,,,359.0,359.0,https://pypi.org/project/suod,2021-01-15 02:12:04.000000,,37575.0,37575.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n651,chefboost,serengil/chefboost,,ml-frameworks,https://github.com/serengil/chefboost,https://github.com/serengil/chefboost,MIT,2019-03-06 12:26:27.000000,2021-06-29 13:35:23.000000,2021-06-29 13:35:23.000000,64,1.0,13.0,265.0,316.0,\"A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some..\",5.0,20,False,2021-06-28 19:23:52.000000,0.0.13,13.0,chefboost,,,,,13.0,13.0,https://pypi.org/project/chefboost,2021-06-28 19:23:52.000000,,546.0,546.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n652,imodels,csinva/imodels,,interpretability,https://github.com/csinva/imodels,https://github.com/csinva/imodels,MIT,2019-07-04 15:38:48.000000,2021-08-13 02:25:32.000000,2021-08-13 02:25:29.000000,22,,12.0,242.0,377.0,\"Interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible).\",5.0,20,False,2021-07-20 00:24:59.000000,0.2.9,9.0,imodels,,,,,7.0,7.0,https://pypi.org/project/imodels,2021-07-20 00:22:47.000000,,1151.0,1151.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n653,ivis,beringresearch/ivis,,data-viz,https://github.com/beringresearch/ivis,https://github.com/beringresearch/ivis,Apache-2.0,2018-08-13 08:31:01.000000,2021-07-15 05:48:28.000000,2021-07-12 14:21:39.000000,25,4.0,46.0,241.0,596.0,Dimensionality reduction in very large datasets using Siamese Networks.,9.0,20,False,2021-07-13 05:59:35.000000,2.0.5,31.0,ivis,,,,['tensorflow'],17.0,17.0,https://pypi.org/project/ivis,2021-07-13 05:55:01.000000,0.0,428.0,428.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n654,Funsor,pyro-ppl/funsor,,probabilistics,https://github.com/pyro-ppl/funsor,https://github.com/pyro-ppl/funsor,Apache-2.0,2019-01-30 23:13:39.000000,2021-08-17 21:50:54.000000,2021-08-03 15:01:18.000000,14,73.0,68.0,178.0,537.0,Functional tensors for probabilistic programming.,9.0,20,False,2021-07-02 04:10:35.000000,0.4.1,7.0,funsor,,,,['pytorch'],16.0,16.0,https://pypi.org/project/funsor,2021-07-02 04:09:26.000000,0.0,1673.0,1673.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n655,nvidia-ml-py3,nicolargo/nvidia-ml-py3,,gpu-utilities,https://github.com/nicolargo/nvidia-ml-py3,https://github.com/nicolargo/nvidia-ml-py3,BSD-3-Clause,2017-06-03 07:47:03.000000,2019-03-06 20:41:10.000000,2019-03-06 20:41:09.000000,15,2.0,,67.0,5.0,Python 3 Bindings for the NVIDIA Management Library.,2.0,20,False,2017-06-03 07:43:46.000000,7.352.0,1.0,nvidia-ml-py3,,,,,4059.0,3839.0,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46.000000,220.0,749142.0,749142.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n656,Recommenders,microsoft/recommenders,,recommender-systems,https://github.com/microsoft/recommenders,https://github.com/microsoft/recommenders,MIT,2018-09-19 10:06:07.000000,2021-08-19 14:38:59.000000,2021-06-17 16:41:09.000000,1852,147.0,465.0,10894.0,,Best Practices on Recommendation Systems.,96.0,19,True,2021-06-18 15:59:34.000000,0.6.0,8.0,,,,,,,,,,,,0.0,,,,,,,,3.0,30.0,,,,,,,,,,,,,,,,,,,,\n657,TTS,mozilla/TTS,,audio,https://github.com/mozilla/TTS,https://github.com/mozilla/TTS,MPL-2.0,2018-01-23 14:22:06.000000,2021-08-10 18:22:41.000000,2021-02-12 10:36:31.000000,806,19.0,493.0,5014.0,2184.0,Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts).,56.0,19,True,2021-01-29 00:03:56.000000,0.0.9,1.0,,,,,,,,,,,,144.0,,,,,,,,3.0,1010.0,,,,,,,,,,,,,,,,,,,,\n658,PaddleDetection,PaddlePaddle/PaddleDetection,,image,https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000000,2021-08-19 13:04:00.000000,2021-08-18 12:53:15.000000,1139,540.0,1734.0,4495.0,,Object detection and instance segmentation toolkit based on PaddlePaddle.,65.0,19,True,2021-08-17 09:24:50.000000,2.2.0,4.0,,,,,['paddle'],5.0,5.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n659,AugLy,facebookresearch/AugLy,,others,https://github.com/facebookresearch/AugLy,https://github.com/facebookresearch/AugLy,MIT,2021-06-09 17:57:28.000000,2021-08-16 20:29:44.000000,2021-08-15 23:43:35.000000,172,11.0,29.0,3759.0,,\"A data augmentations library for audio, image, text, and video.\",9.0,19,True,2021-07-09 08:21:04.000000,0.1.5,11.0,augly,,,,,6.0,6.0,https://pypi.org/project/augly,2021-07-20 17:57:06.000000,,1606.0,1606.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n660,Crypto Signals,CryptoSignal/crypto-signal,,financial-data,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24.000000,2021-08-13 23:34:14.000000,2021-06-28 16:44:17.000000,896,48.0,197.0,3311.0,564.0,\"Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 2,100 + stars, 580 + forks.\",28.0,19,True,,,,,,shadowreaver/crypto-signal,,,,,,,,,2936.0,,,,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133,7.0,138014.0,3.0,,,,,,,,,,,,,,,,,,,,,\n661,BytePS,bytedance/byteps,,distributed-ml,https://github.com/bytedance/byteps,https://github.com/bytedance/byteps,Apache-2.0,2019-06-25 07:00:13.000000,2021-08-11 22:41:14.000000,2021-08-11 22:41:09.000000,403,100.0,154.0,2927.0,422.0,A high performance and generic framework for distributed DNN training.,19.0,19,True,2020-08-27 15:42:13.000000,0.2.4,8.0,byteps,,bytepsimage/tensorflow,,,,,https://pypi.org/project/byteps,2021-08-02 17:37:42.000000,,246.0,290.0,,,,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,1151.0,3.0,,,,,,,,,,,,,,,,,,,,,\n662,AdaBound,Luolc/AdaBound,,pytorch-utils,https://github.com/Luolc/AdaBound,https://github.com/Luolc/AdaBound,Apache-2.0,2019-02-15 18:05:20.000000,2019-03-06 17:01:52.000000,2019-03-06 17:01:45.000000,327,16.0,7.0,2862.0,27.0,An optimizer that trains as fast as Adam and as good as SGD.,2.0,19,False,2019-03-06 16:44:42.000000,0.0.5,4.0,adabound,,,,['pytorch'],128.0,116.0,https://pypi.org/project/adabound,2019-02-26 04:23:45.000000,12.0,877.0,877.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n663,tf-quant-finance,google/tf-quant-finance,,financial-data,https://github.com/google/tf-quant-finance,https://github.com/google/tf-quant-finance,Apache-2.0,2019-07-24 16:09:50.000000,2021-08-18 13:05:57.000000,2021-08-18 13:05:51.000000,369,17.0,18.0,2758.0,794.0,High-performance TensorFlow library for quantitative finance.,33.0,19,True,,,24.0,tf-quant-finance,,,,['tensorflow'],0.0,,https://pypi.org/project/tf-quant-finance,2021-07-22 17:18:53.000000,0.0,337.0,337.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n664,image-match,ProvenanceLabs/image-match,,image,https://github.com/ProvenanceLabs/image-match,https://github.com/ProvenanceLabs/image-match,Apache-2.0,2016-03-08 18:16:45.000000,2021-01-04 18:36:01.000000,2021-01-04 18:35:59.000000,371,46.0,48.0,2612.0,404.0,Quickly search over billions of images.,18.0,19,True,2017-02-13 14:54:48.000000,1.1.2,10.0,image_match,,,,,6.0,,https://pypi.org/project/image_match,2017-02-13 14:54:48.000000,6.0,565.0,565.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n665,StreamAlert,airbnb/streamalert,,others,https://github.com/airbnb/streamalert,https://github.com/airbnb/streamalert,Apache-2.0,2017-01-22 01:10:56.000000,2021-07-30 00:57:52.000000,2021-02-10 05:03:05.000000,322,84.0,255.0,2572.0,1893.0,\"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data..\",31.0,19,True,2020-10-05 21:50:56.000000,3.4.1,27.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n666,Apache Singa,apache/singa,,distributed-ml,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000000,2021-08-11 02:00:38.000000,2021-08-10 09:12:48.000000,654,40.0,38.0,2328.0,2360.0,a distributed deep learning platform.,76.0,19,True,2020-04-21 08:01:08.000000,3.0.0,16.0,,nusdbsystem/singa,apache/singa,,,1.0,1.0,,,,,7.0,https://anaconda.org/nusdbsystem/singa,2021-08-09 13:10:26.397000,289.0,https://hub.docker.com/r/apache/singa,2019-06-04 04:32:52.195956,2.0,181.0,3.0,,,,,,,,,,,,,,,,,,,,,\n667,HiPlot,facebookresearch/hiplot,,data-viz,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41.000000,2021-08-13 08:14:15.000000,2021-08-13 08:06:35.000000,98,11.0,57.0,2166.0,,HiPlot makes understanding high dimensional data easy.,6.0,19,True,2021-07-28 20:18:20.000000,0.1.28,74.0,hiplot,conda-forge/hiplot,,,,2.0,2.0,https://pypi.org/project/hiplot,2021-07-28 20:29:29.000000,0.0,11707.0,15165.0,https://anaconda.org/conda-forge/hiplot,2021-07-28 22:53:46.570000,62252.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n668,pdftabextract,WZBSocialScienceCenter/pdftabextract,,ocr,https://github.com/WZBSocialScienceCenter/pdftabextract,https://github.com/WZBSocialScienceCenter/pdftabextract,Apache-2.0,2016-07-08 11:44:46.000000,2020-12-28 00:52:23.000000,2018-10-26 13:57:02.000000,336,3.0,18.0,1943.0,168.0,A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.,2.0,19,False,2018-01-09 08:00:24.000000,0.3.0,5.0,pdftabextract,,,,,38.0,37.0,https://pypi.org/project/pdftabextract,2018-01-09 08:00:24.000000,1.0,595.0,595.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n669,River,online-ml/river,,others,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000000,2021-08-19 15:06:24.000000,2021-08-19 12:22:28.000000,231,29.0,307.0,1856.0,3148.0,Online machine learning in Python.,66.0,19,True,,,,,,,,,33.0,33.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n670,pytorchvideo,facebookresearch/pytorchvideo,,image,https://github.com/facebookresearch/pytorchvideo,https://github.com/facebookresearch/pytorchvideo,Apache-2.0,2021-03-09 20:39:13.000000,2021-08-18 19:49:36.000000,2021-08-18 19:49:33.000000,130,28.0,40.0,1729.0,84.0,A deep learning library for video understanding research.,21.0,19,True,2021-06-26 00:17:07.000000,0.1.2,7.0,pytorchvideo,,,,['pytorch'],0.0,,https://pypi.org/project/pytorchvideo,2021-06-26 00:17:07.000000,0.0,4751.0,4751.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n671,Backtesting.py,kernc/backtesting.py,,financial-data,https://github.com/kernc/backtesting.py,https://github.com/kernc/backtesting.py,AGPL-3.0,2019-01-02 03:11:32.000000,2021-08-19 07:16:54.000000,2021-08-16 02:10:34.000000,352,34.0,212.0,1608.0,239.0,Backtest trading strategies in Python.,15.0,19,False,2017-07-22 02:00:06.000000,0.0.1,1.0,backtesting,,,,,2.0,,https://pypi.org/project/backtesting,2017-07-22 02:00:06.000000,2.0,11496.0,11496.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n672,lightseq,bytedance/lightseq,,nlp,https://github.com/bytedance/lightseq,https://github.com/bytedance/lightseq,Apache-2.0,2019-12-06 08:25:24.000000,2021-08-19 12:51:11.000000,2021-08-19 12:40:38.000000,147,28.0,45.0,1599.0,159.0,LightSeq: A High Performance Library for Sequence Processing and Generation.,6.0,19,True,2021-08-19 12:51:11.000000,2.1.3,11.0,lightseq,,,,,,,https://pypi.org/project/lightseq,2021-08-10 09:14:27.000000,,788.0,810.0,,,,,,,,3.0,447.0,,,,,,,,,,,,,,,,,,,,\n673,NeuroNER,Franck-Dernoncourt/NeuroNER,,nlp,https://github.com/Franck-Dernoncourt/NeuroNER,https://github.com/Franck-Dernoncourt/NeuroNER,MIT,2017-03-07 01:24:15.000000,2021-05-21 15:20:14.000000,2019-10-02 23:26:11.000000,442,81.0,67.0,1564.0,132.0,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,7.0,19,False,2019-10-02 23:30:15.000000,1.0.8,7.0,pyneuroner,,,,,13.0,13.0,https://pypi.org/project/pyneuroner,2019-10-02 23:30:15.000000,,217.0,217.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n674,Neural Tangents,google/neural-tangents,,ml-frameworks,https://github.com/google/neural-tangents,https://github.com/google/neural-tangents,Apache-2.0,2019-04-08 16:48:48.000000,2021-08-19 03:51:47.000000,2021-08-19 03:51:39.000000,166,28.0,62.0,1519.0,,Fast and Easy Infinite Neural Networks in Python.,19.0,19,True,2021-01-25 23:20:02.000000,0.3.6,20.0,neural-tangents,,,,,21.0,21.0,https://pypi.org/project/neural-tangents,2021-01-25 23:06:16.000000,0.0,746.0,755.0,,,,,,,,3.0,133.0,,,,,,,,,,,,,,,,,,,,\n675,ThunderSVM,Xtra-Computing/thundersvm,,ml-frameworks,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04.000000,2021-02-10 05:12:44.000000,2021-02-10 05:12:44.000000,176,52.0,146.0,1323.0,902.0,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,33.0,19,True,2020-03-13 12:36:30.000000,0.3.12,9.0,thundersvm,,,,,,,https://pypi.org/project/thundersvm,2020-03-13 12:36:30.000000,,599.0,638.0,,,,,,,,3.0,2233.0,,,,,,,,,,,,,,,,,,,,\n676,Haiku,deepmind/dm-haiku,,ml-frameworks,https://github.com/deepmind/dm-haiku,https://github.com/deepmind/dm-haiku,Apache-2.0,2020-02-18 07:14:02.000000,2021-08-16 18:11:01.000000,2021-08-16 18:10:56.000000,97,24.0,80.0,1306.0,,JAX-based neural network library.,45.0,19,True,2021-04-12 13:12:13.000000,0.0.4,6.0,,,,,,159.0,159.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n677,greykite,linkedin/greykite,,time-series-data,https://github.com/linkedin/greykite,https://github.com/linkedin/greykite,BSD-2-Clause,2021-04-27 17:05:53.000000,2021-08-14 05:30:36.000000,2021-08-14 05:30:35.000000,52,11.0,28.0,1269.0,14.0,\"A flexible, intuitive and fast forecasting library.\",6.0,19,True,2021-07-01 19:41:38.000000,0.2.0,6.0,greykite,,,,,6.0,6.0,https://pypi.org/project/greykite,2021-07-01 19:41:38.000000,,8651.0,8651.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n678,Norfair,tryolabs/norfair,,image,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000000,2021-07-29 16:06:18.000000,2021-07-29 16:06:09.000000,79,9.0,29.0,1073.0,281.0,Lightweight Python library for adding real-time object tracking to any detector.,9.0,19,True,2021-07-29 15:49:06.000000,0.3.1,12.0,norfair,,,,,0.0,,https://pypi.org/project/norfair,2021-07-29 15:49:06.000000,0.0,2553.0,2553.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n679,pyts,johannfaouzi/pyts,,time-series-data,https://github.com/johannfaouzi/pyts,https://github.com/johannfaouzi/pyts,BSD-3-Clause,2017-07-31 09:23:16.000000,2021-05-26 11:15:05.000000,2021-05-26 11:15:03.000000,106,31.0,19.0,1018.0,,A Python package for time series classification.,9.0,19,True,2020-03-21 12:41:33.000000,0.11.0,17.0,pyts,conda-forge/pyts,,,,138.0,134.0,https://pypi.org/project/pyts,2020-03-21 12:36:40.000000,4.0,10752.0,11105.0,https://anaconda.org/conda-forge/pyts,2020-03-21 14:08:24.734000,8475.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n680,Skater,oracle/Skater,,interpretability,https://github.com/oracle/Skater,https://github.com/oracle/Skater,UPL-1.0,2017-01-26 05:45:42.000000,2020-11-01 15:57:12.273000,2020-06-29 20:07:12.000000,163,69.0,97.0,994.0,1101.0,Python Library for Model Interpretation/Explanations.,34.0,19,False,2018-09-21 07:03:32.000000,1.1.2,23.0,skater,conda-forge/skater,,,,,,https://pypi.org/project/skater,2018-09-21 07:03:32.000000,,3385.0,4244.0,https://anaconda.org/conda-forge/skater,2020-11-01 15:57:12.273000,42980.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n681,graph4nlp,graph4ai/graph4nlp,,graph,https://github.com/graph4ai/graph4nlp,https://github.com/graph4ai/graph4nlp,Apache-2.0,2020-07-16 03:28:48.000000,2021-08-18 14:14:21.000000,2021-08-18 14:12:31.000000,103,2.0,64.0,956.0,1389.0,Graph4nlp is the library for the easy use of Graph Neural Networks for NLP.,19.0,19,True,2021-06-15 16:00:17.000000,0.4.1-alpha,9.0,graph4nlp,,,,['pytorch'],,,https://pypi.org/project/graph4nlp,2021-06-06 14:20:47.000000,,203.0,203.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n682,pytorch_geometric_temporal,benedekrozemberczki/pytorch_geometric_temporal,,graph,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,MIT,2020-06-27 01:11:33.000000,2021-08-17 19:48:32.000000,2021-08-17 19:48:29.000000,121,1.0,50.0,944.0,1755.0,PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021).,11.0,19,True,2021-08-04 20:01:57.000000,_00040,38.0,torch-geometric-temporal,,,,['pytorch'],,,https://pypi.org/project/torch-geometric-temporal,2021-08-04 20:00:43.000000,,1148.0,1148.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n683,Fiber,uber/fiber,,distributed-ml,https://github.com/uber/fiber,https://github.com/uber/fiber,Apache-2.0,2020-01-07 18:16:24.000000,2021-06-30 02:02:42.000000,2021-03-15 07:00:08.000000,102,20.0,8.0,926.0,66.0,Distributed Computing for AI Made Simple.,5.0,19,True,2020-07-09 03:28:28.000000,0.2.1,6.0,fiber,,,,,29.0,28.0,https://pypi.org/project/fiber,2020-07-09 03:28:28.000000,1.0,1271.0,1271.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n684,Databolt Flow,d6t/d6tflow,,data-pipelines,https://github.com/d6t/d6tflow,https://github.com/d6t/d6tflow,MIT,2019-02-03 01:51:22.000000,2021-04-28 04:27:05.000000,2021-04-28 04:27:05.000000,67,8.0,13.0,920.0,241.0,Python library for building highly effective data science workflows.,12.0,19,True,2021-03-17 03:43:31.000000,0.2.3,20.0,d6tflow,,,,,13.0,13.0,https://pypi.org/project/d6tflow,2021-03-17 03:43:31.000000,,454.0,454.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n685,advertorch,BorealisAI/advertorch,,adversarial,https://github.com/BorealisAI/advertorch,https://github.com/BorealisAI/advertorch,GPL-3.0,2018-11-29 22:17:33.000000,2021-08-13 05:19:49.000000,2021-07-30 15:59:28.000000,148,15.0,32.0,906.0,273.0,A Toolbox for Adversarial Robustness Research.,18.0,19,False,2020-06-15 01:20:07.000000,0.2.3,10.0,advertorch,,,,['pytorch'],53.0,47.0,https://pypi.org/project/advertorch,2020-06-15 01:20:07.000000,6.0,912.0,912.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n686,calamari,Calamari-OCR/calamari,,ocr,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,Apache-2.0,2018-03-20 15:22:29.000000,2021-08-06 08:51:00.000000,2021-08-05 13:44:31.000000,180,33.0,181.0,857.0,388.0,Line based ATR Engine based on OCRopy.,18.0,19,True,2021-05-30 10:58:28.000000,2.1.2,28.0,calamari_ocr,,,,,2.0,,https://pypi.org/project/calamari_ocr,2018-11-13 11:24:45.000000,2.0,952.0,952.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n687,mrq,pricingassistant/mrq,,data-pipelines,https://github.com/pricingassistant/mrq,https://github.com/pricingassistant/mrq,MIT,2014-02-13 09:32:40.000000,2021-05-19 17:32:27.000000,2020-12-13 18:58:15.000000,113,59.0,119.0,847.0,709.0,Mr. Queue - A distributed worker task queue in Python using Redis & gevent.,37.0,19,True,2018-08-31 16:03:04.000000,0.9.10,70.0,mrq,,,,,37.0,25.0,https://pypi.org/project/mrq,2018-08-31 16:03:04.000000,12.0,538.0,538.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n688,tffm,geffy/tffm,,tensorflow-utils,https://github.com/geffy/tffm,https://github.com/geffy/tffm,MIT,2016-05-02 17:06:07.000000,2020-05-22 21:40:58.000000,2020-05-22 21:40:57.000000,176,17.0,21.0,769.0,106.0,TensorFlow implementation of an arbitrary order Factorization Machine.,10.0,19,False,2018-01-27 11:43:26.000000,1.0.1,2.0,tffm,,,,['tensorflow'],12.0,11.0,https://pypi.org/project/tffm,2018-01-27 11:43:26.000000,1.0,1835.0,1835.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n689,TensorFrames,databricks/tensorframes,,distributed-ml,https://github.com/databricks/tensorframes,https://github.com/databricks/tensorframes,Apache-2.0,2016-03-04 19:25:19.000000,2021-05-21 14:50:19.000000,2019-11-15 21:43:53.000000,156,51.0,43.0,764.0,221.0,[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark.,16.0,19,False,2018-11-16 20:50:02.000000,0.6.0,6.0,tensorframes,,,,\"['tensorflow', 'spark']\",1.0,,https://pypi.org/project/tensorframes,2018-05-16 14:20:28.000000,1.0,18237.0,18237.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n690,Hivemind,learning-at-home/hivemind,,distributed-ml,https://github.com/learning-at-home/hivemind,https://github.com/learning-at-home/hivemind,MIT,2020-02-27 13:50:19.000000,2021-08-18 21:10:45.000000,2021-08-18 21:10:45.000000,43,42.0,56.0,759.0,408.0,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,17.0,19,True,2021-07-16 12:29:49.000000,0.9.10,13.0,hivemind,,,,,4.0,3.0,https://pypi.org/project/hivemind,2021-07-16 12:29:49.000000,1.0,180.0,180.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n691,pytorch2keras,gmalivenko/pytorch2keras,,model-serialisation,https://github.com/gmalivenko/pytorch2keras,https://github.com/gmalivenko/pytorch2keras,MIT,2017-11-16 20:21:43.000000,2021-08-06 08:18:46.000000,2021-08-06 08:18:46.000000,120,49.0,67.0,728.0,282.0,PyTorch to Keras model convertor.,13.0,19,True,2020-05-14 10:03:56.000000,0.2.4,23.0,pytorch2keras,,,,,25.0,24.0,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56.000000,1.0,831.0,831.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n692,ADTK,arundo/adtk,,time-series-data,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22.000000,2021-07-18 06:52:12.000000,2020-04-17 02:27:44.000000,89,26.0,34.0,714.0,78.0,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,11.0,19,False,2020-04-17 02:18:00.000000,0.6.2,13.0,adtk,,,,,,,https://pypi.org/project/adtk,2020-04-17 02:18:00.000000,,59935.0,59935.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n693,Test Tube,williamFalcon/test-tube,,hyperopt,https://github.com/williamFalcon/test-tube,https://github.com/williamFalcon/test-tube,MIT,2017-09-06 02:14:57.000000,2021-01-17 20:04:39.000000,2020-03-17 22:44:47.000000,64,25.0,21.0,693.0,642.0,Python library to easily log experiments and parallelize hyperparameter search for neural networks.,16.0,19,False,2019-12-01 01:19:36.000000,0.7.5,53.0,test_tube,,,,,5.0,,https://pypi.org/project/test_tube,2018-12-12 22:45:59.000000,5.0,10841.0,10841.0,,,,,,,,3.0,9.0,,,,,,,,,,,,,,,,,,,,\n694,Performer Pytorch,lucidrains/performer-pytorch,,pytorch-utils,https://github.com/lucidrains/performer-pytorch,https://github.com/lucidrains/performer-pytorch,MIT,2020-10-03 03:41:36.000000,2021-08-05 10:02:55.000000,2021-04-21 06:29:48.000000,90,26.0,39.0,691.0,,\"An implementation of Performer, a linear attention-based transformer, in Pytorch.\",4.0,19,True,2021-04-21 06:30:05.000000,1.0.11,75.0,performer-pytorch,,,,['pytorch'],26.0,26.0,https://pypi.org/project/performer-pytorch,2021-04-21 05:45:21.000000,0.0,1585.0,1585.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n695,matrixprofile-ts,target/matrixprofile-ts,,time-series-data,https://github.com/target/matrixprofile-ts,https://github.com/target/matrixprofile-ts,Apache-2.0,2018-09-10 19:03:34.000000,2020-04-25 18:38:20.000000,2020-04-25 18:37:42.000000,93,19.0,34.0,650.0,198.0,A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile.,15.0,19,False,2019-08-08 01:24:38.000000,0.0.9,9.0,matrixprofile-ts,,,,,17.0,17.0,https://pypi.org/project/matrixprofile-ts,2019-08-08 01:24:38.000000,,1102.0,1102.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n696,vecstack,vecxoz/vecstack,,others,https://github.com/vecxoz/vecstack,https://github.com/vecxoz/vecstack,MIT,2016-11-08 13:23:21.000000,2020-09-14 08:31:07.000000,2019-10-30 09:27:48.000000,74,,37.0,628.0,189.0,Python package for stacking (machine learning technique).,1.0,19,False,2019-08-12 16:09:01.000000,0.4.0,6.0,vecstack,,,,,153.0,145.0,https://pypi.org/project/vecstack,2019-08-12 16:01:22.000000,8.0,1834.0,1834.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n697,Torchbearer,pytorchbearer/torchbearer,,ml-frameworks,https://github.com/pytorchbearer/torchbearer,https://github.com/pytorchbearer/torchbearer,MIT,2018-03-12 16:30:42.000000,2021-03-26 19:56:57.000000,2021-03-26 19:56:57.000000,68,8.0,237.0,609.0,430.0,torchbearer: A model fitting library for PyTorch.,13.0,19,True,2020-01-31 14:07:22.000000,0.5.3,24.0,torchbearer,,,,['pytorch'],59.0,53.0,https://pypi.org/project/torchbearer,2020-01-31 14:05:56.000000,6.0,879.0,879.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n698,DiCE,interpretml/DiCE,,interpretability,https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000000,2021-08-18 19:49:19.000000,2021-08-17 13:04:14.000000,81,33.0,44.0,604.0,415.0,Generate Diverse Counterfactual Explanations for any machine learning model.,11.0,19,True,2021-08-17 13:07:08.000000,0.7,6.0,dice-ml,,,,\"['tensorflow', 'pytorch']\",0.0,,https://pypi.org/project/dice-ml,2021-08-17 13:07:46.000000,0.0,22762.0,22762.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n699,Dragonfly,dragonfly/dragonfly,,hyperopt,https://github.com/dragonfly/dragonfly,https://github.com/dragonfly/dragonfly,MIT,2018-04-20 22:19:50.000000,2021-07-31 04:54:26.000000,2020-07-03 18:01:17.000000,81,26.0,17.0,591.0,397.0,An open source python library for scalable Bayesian optimisation.,12.0,19,False,2020-07-03 18:05:12.000000,0.1.6,9.0,dragonfly-opt,,,,,2.0,,https://pypi.org/project/dragonfly-opt,2020-07-03 18:05:12.000000,2.0,31869.0,31869.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n700,iterative-stratification,trent-b/iterative-stratification,,sklearn-utils,https://github.com/trent-b/iterative-stratification,https://github.com/trent-b/iterative-stratification,BSD-3-Clause,2018-02-04 00:32:10.000000,2020-09-12 15:32:44.000000,2020-09-12 15:35:02.000000,52,3.0,11.0,579.0,47.0,scikit-learn cross validators for iterative stratification of multilabel data.,4.0,19,True,2018-08-12 18:28:50.000000,0.1.6,5.0,iterative-stratification,,,,['sklearn'],173.0,159.0,https://pypi.org/project/iterative-stratification,2018-08-12 18:28:50.000000,14.0,6911.0,6911.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n701,robustness,MadryLab/robustness,,adversarial,https://github.com/MadryLab/robustness,https://github.com/MadryLab/robustness,MIT,2019-08-21 09:26:33.000000,2021-07-24 21:43:43.000000,2021-03-04 15:19:19.000000,109,9.0,53.0,573.0,139.0,\"A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.\",12.0,19,True,2020-12-01 06:11:12.000000,1.2.1.post2,10.0,robustness,,,,,61.0,59.0,https://pypi.org/project/robustness,2020-12-01 06:21:33.000000,2.0,1364.0,1364.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n702,What-If Tool,PAIR-code/what-if-tool,,interpretability,https://github.com/PAIR-code/what-if-tool,https://github.com/PAIR-code/what-if-tool,Apache-2.0,2018-09-07 20:26:10.000000,2021-08-11 19:34:07.000000,2021-03-17 12:46:20.000000,109,40.0,42.0,566.0,319.0,Source code/webpage/demos for the What-If Tool.,19.0,19,True,2021-01-19 14:40:37.214000,1.8.0,38.0,witwidget,,,,,0.0,,https://pypi.org/project/witwidget,2021-01-19 14:40:21.000000,0.0,10319.0,12511.0,,,,,,,,3.0,,,,wit-widget,https://www.npmjs.com/package/wit-widget,2021-01-19 14:40:37.214000,,2192.0,,,,,,,,,,,,,\n703,deeplift,kundajelab/deeplift,,interpretability,https://github.com/kundajelab/deeplift,https://github.com/kundajelab/deeplift,MIT,2016-06-01 02:18:06.000000,2020-11-11 19:56:24.000000,2020-11-11 19:56:23.000000,128,29.0,47.0,553.0,551.0,Public facing deeplift repo.,11.0,19,True,2018-07-13 21:11:52.000000,0.6.6,21.0,deeplift,,,,,53.0,49.0,https://pypi.org/project/deeplift,2020-11-11 09:32:57.000000,4.0,589.0,589.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n704,Caer,jasmcaus/caer,,image,https://github.com/jasmcaus/caer,https://github.com/jasmcaus/caer,MIT,2020-08-06 18:36:14.000000,2021-08-19 04:15:42.000000,2021-07-21 06:46:39.000000,83,3.0,10.0,527.0,4987.0,\"A lightweight Computer Vision library. Scale your models, not boilerplate.\",6.0,19,True,2021-01-28 14:06:10.000000,1.9.8,109.0,caer,,,https://caer.rtfd.io,,0.0,,https://pypi.org/project/caer,2021-01-28 14:06:10.000000,0.0,4597.0,4598.0,,,,,,,,3.0,19.0,,,,,,,,,,,,,,,,,,,,\n705,PyKEEN,pykeen/pykeen,,graph,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000000,2021-08-19 09:25:56.000000,2021-08-19 09:25:55.000000,75,84.0,166.0,502.0,2437.0,A Python library for learning and evaluating knowledge graph embeddings.,19.0,19,True,2021-06-13 21:50:49.000000,1.5.0,36.0,pykeen,,,,,2.0,,https://pypi.org/project/pykeen,2021-06-13 21:46:17.000000,2.0,869.0,875.0,,,,,,,,3.0,92.0,,,,,,,,,,,,,,,,,,,,\n706,N2,kakao/n2,,nn-search,https://github.com/kakao/n2,https://github.com/kakao/n2,Apache-2.0,2017-11-23 02:27:59.000000,2021-05-20 05:41:36.000000,2021-05-20 05:39:44.000000,52,17.0,22.0,481.0,242.0,TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets.,18.0,19,True,2020-10-16 03:43:47.000000,0.1.7,9.0,n2,,,,,21.0,17.0,https://pypi.org/project/n2,2020-10-16 03:10:01.000000,4.0,1626.0,1626.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n707,kale,kubeflow-kale/kale,,data-pipelines,https://github.com/kubeflow-kale/kale,https://github.com/kubeflow-kale/kale,Apache-2.0,2019-01-24 17:58:44.000000,2021-07-14 07:14:19.000000,2021-05-19 12:47:47.000000,75,83.0,61.0,414.0,641.0,Kubeflows superfood for Data Scientists.,10.0,19,True,2021-05-19 12:56:53.000000,0.7.0,15.0,kubeflow-kale,,,,['jupyter'],,,https://pypi.org/project/kubeflow-kale,2021-05-19 12:56:53.000000,,1749.0,1749.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n708,MXBoard,awslabs/mxboard,,ml-experiments,https://github.com/awslabs/mxboard,https://github.com/awslabs/mxboard,Apache-2.0,2018-02-06 23:03:51.000000,2020-01-24 23:21:56.000000,2020-01-24 23:21:55.000000,45,16.0,15.0,332.0,42.0,Logging MXNet data for visualization in TensorBoard.,9.0,19,False,2018-05-22 20:25:51.000000,0.1.0,12.0,mxboard,,,,['mxnet'],129.0,117.0,https://pypi.org/project/mxboard,2018-05-22 20:25:51.000000,12.0,2638.0,2638.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n709,apricot,jmschrei/apricot,,others,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12.000000,2021-08-12 17:18:16.000000,2021-08-12 17:18:16.000000,32,3.0,17.0,326.0,169.0,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,3.0,19,True,2020-09-28 07:19:15.000000,0.6.0,13.0,apricot-select,,,,,20.0,20.0,https://pypi.org/project/apricot-select,2020-09-28 07:19:15.000000,0.0,500.0,500.0,,,,,,,,3.0,9.0,,,,,,,,,,,,,,,,,,,,\n710,rrcf,kLabUM/rrcf,,others,https://github.com/kLabUM/rrcf,https://github.com/kLabUM/rrcf,MIT,2018-10-20 05:39:05.000000,2021-01-13 23:05:23.000000,2020-06-10 01:07:39.000000,78,22.0,17.0,324.0,253.0,Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams.,4.0,19,False,2020-06-10 01:53:55.000000,0.4.3,7.0,rrcf,,,,,19.0,19.0,https://pypi.org/project/rrcf,2020-06-10 01:53:55.000000,0.0,7236.0,7236.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n711,textpipe,textpipe/textpipe,,nlp,https://github.com/textpipe/textpipe,https://github.com/textpipe/textpipe,MIT,2018-06-21 16:23:32.000000,2021-06-09 11:55:53.000000,2021-06-09 11:55:53.000000,22,24.0,25.0,293.0,371.0,Textpipe: clean and extract metadata from text.,28.0,19,False,2021-01-25 14:05:21.000000,0.12.2,39.0,textpipe,,,,,1.0,,https://pypi.org/project/textpipe,2021-01-25 14:05:21.000000,1.0,1580.0,1580.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n712,Auto TS,AutoViML/Auto_TS,,time-series-data,https://github.com/AutoViML/Auto_TS,https://github.com/AutoViML/Auto_TS,Apache-2.0,2020-02-15 15:23:32.000000,2021-06-29 13:49:39.000000,2021-06-29 13:48:07.000000,55,8.0,40.0,275.0,235.0,\"Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of..\",6.0,19,False,2021-06-29 13:49:39.000000,0.0.37,16.0,auto-ts,,,,,,,https://pypi.org/project/auto-ts,2021-06-29 13:49:39.000000,,1158.0,1158.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n713,pandas-ml,pandas-ml/pandas-ml,,others,https://github.com/pandas-ml/pandas-ml,https://github.com/pandas-ml/pandas-ml,BSD-3-Clause,2015-02-21 03:14:04.000000,2020-08-14 12:29:33.000000,2019-03-05 01:36:55.000000,60,24.0,17.0,275.0,153.0,\"pandas, scikit-learn, xgboost and seaborn integration.\",4.0,19,False,2019-03-05 01:36:12.000000,0.6.1,9.0,pandas-ml,,,,\"['sklearn', 'pandas']\",10.0,,https://pypi.org/project/pandas-ml,2019-03-05 01:35:23.000000,10.0,3408.0,3408.0,,,,,,,,3.0,5.0,,,,,,,,,,,,,,,,,,,,\n714,quinn,MrPowers/quinn,,ml-experiments,https://github.com/MrPowers/quinn,https://github.com/MrPowers/quinn,Apache-2.0,2017-09-15 13:02:42.000000,2021-03-27 14:31:44.000000,2021-02-09 04:48:07.000000,29,17.0,9.0,269.0,110.0,pyspark methods to enhance developer productivity.,6.0,19,False,2021-02-06 15:21:04.000000,0.9.0,12.0,quinn,,,,['spark'],6.0,,https://pypi.org/project/quinn,2021-02-06 15:21:04.000000,6.0,400890.0,400890.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n715,sk-dist,Ibotta/sk-dist,,distributed-ml,https://github.com/Ibotta/sk-dist,https://github.com/Ibotta/sk-dist,Apache-2.0,2019-08-14 21:07:17.000000,2021-07-07 00:44:10.000000,2021-07-07 00:44:07.000000,47,7.0,10.0,268.0,58.0,Distributed scikit-learn meta-estimators in PySpark.,7.0,19,False,2020-05-14 22:20:14.000000,0.1.9,12.0,sk-dist,,,,\"['sklearn', 'spark']\",9.0,7.0,https://pypi.org/project/sk-dist,2020-05-14 22:20:14.000000,2.0,10024.0,10024.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n716,Brainiak,brainiak/brainiak,,medical-data,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27.000000,2021-05-28 01:21:58.000000,2021-05-28 01:21:58.000000,113,68.0,120.0,248.0,393.0,Brain Imaging Analysis Kit.,33.0,19,False,2019-08-27 23:52:29.000000,0.9.1,15.0,brainiak,,brainiak/brainiak,,,14.0,13.0,https://pypi.org/project/brainiak,2020-10-15 20:45:08.000000,1.0,187.0,196.0,,,,https://hub.docker.com/r/brainiak/brainiak,2020-10-15 21:11:03.379549,1.0,622.0,3.0,,,,,,,,,,,,,,,,,,,,,\n717,responsible-ai-widgets,microsoft/responsible-ai-widgets,,interpretability,https://github.com/microsoft/responsible-ai-widgets,https://github.com/microsoft/responsible-ai-widgets,MIT,2020-07-06 20:46:53.000000,2021-08-19 14:13:19.000000,2021-08-19 14:11:58.000000,64,90.0,108.0,247.0,,\"This project provides responsible AI user interfaces for Fairlearn, interpret-community, and Error Analysis, as well..\",16.0,19,False,2021-08-18 22:27:26.000000,0.9.4,22.0,raiwidgets,,,,\"['pytorch', 'tensorflow', 'jupyter']\",14.0,14.0,https://pypi.org/project/raiwidgets,2021-08-18 22:27:26.000000,0.0,3828.0,3828.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n718,pyfasttext,vrasneur/pyfasttext,,nlp,https://github.com/vrasneur/pyfasttext,https://github.com/vrasneur/pyfasttext,GPL-3.0,2017-06-30 18:44:42.000000,2018-12-08 15:32:09.000000,2018-12-08 15:02:12.000000,30,21.0,28.0,230.0,153.0,Yet another Python binding for fastText.,4.0,19,False,2018-12-08 15:32:09.000000,0.4.6,13.0,pyfasttext,,,,,189.0,176.0,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09.000000,13.0,3114.0,3121.0,,,,,,,,3.0,339.0,,,,,,,,,,,,,,,,,,,,\n719,somoclu,peterwittek/somoclu,,distributed-ml,https://github.com/peterwittek/somoclu,https://github.com/peterwittek/somoclu,MIT,2013-01-16 06:33:16.000000,2021-06-14 00:58:58.000000,2021-06-14 00:58:58.000000,59,27.0,105.0,227.0,618.0,\"Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters.\",19.0,19,False,2018-03-03 02:44:37.000000,1.7.5,17.0,somoclu,conda-forge/somoclu,,,,4.0,,https://pypi.org/project/somoclu,2020-04-25 05:33:32.000000,4.0,1278.0,2404.0,https://anaconda.org/conda-forge/somoclu,2020-10-13 18:39:07.609000,53138.0,,,,,3.0,1518.0,,,,,,,,,,,,,,,,,,,,\n720,fairness-indicators,tensorflow/fairness-indicators,,interpretability,https://github.com/tensorflow/fairness-indicators,https://github.com/tensorflow/fairness-indicators,Apache-2.0,2019-09-30 22:56:45.000000,2021-08-12 18:47:49.000000,2021-08-12 18:47:44.000000,61,12.0,7.0,217.0,269.0,Tensorflow's Fairness Evaluation and Visualization Toolkit.,22.0,19,False,2021-08-09 17:42:04.000000,0.33.0,19.0,fairness-indicators,,,,\"['tensorflow', 'jupyter']\",,,https://pypi.org/project/fairness-indicators,2021-08-09 17:42:04.000000,,862.0,862.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n721,fletcher,xhochy/fletcher,,data-containers,https://github.com/xhochy/fletcher,https://github.com/xhochy/fletcher,MIT,2018-03-04 16:44:22.000000,2021-02-18 14:46:18.000000,2021-02-18 14:46:18.000000,33,34.0,40.0,213.0,520.0,Pandas ExtensionDType/Array backed by Apache Arrow.,24.0,19,False,2021-01-17 20:11:01.000000,0.7.2,16.0,fletcher,conda-forge/fletcher,,,['pandas'],3.0,3.0,https://pypi.org/project/fletcher,2021-01-17 20:11:01.000000,0.0,387.0,1165.0,https://anaconda.org/conda-forge/fletcher,2021-01-17 21:23:17.140000,28790.0,,,,,3.0,13.0,,,,,,,,,,,,,,,,,,,,\n722,pymap3d,geospace-code/pymap3d,,geospatial-data,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03.000000,2021-07-16 00:00:10.000000,2021-06-09 19:39:08.000000,59,3.0,24.0,207.0,,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,10.0,19,False,2021-05-25 21:45:42.000000,2.7.0,49.0,pymap3d,conda-forge/pymap3d,,,,6.0,,https://pypi.org/project/pymap3d,2021-05-25 21:45:42.000000,6.0,41807.0,42524.0,https://anaconda.org/conda-forge/pymap3d,2021-05-26 06:22:15.584000,12205.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n723,gokart,m3dev/gokart,,ml-experiments,https://github.com/m3dev/gokart,https://github.com/m3dev/gokart,MIT,2018-12-23 07:40:27.000000,2021-08-10 14:07:30.000000,2021-08-10 01:04:03.000000,33,12.0,40.0,204.0,426.0,\"Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning..\",27.0,19,False,2021-08-10 01:14:38.000000,1.0.2,57.0,gokart,,,,,2.0,,https://pypi.org/project/gokart,2020-02-25 06:01:19.000000,2.0,694.0,694.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n724,BatchFlow,analysiscenter/batchflow,,data-pipelines,https://github.com/analysiscenter/batchflow,https://github.com/analysiscenter/batchflow,Apache-2.0,2017-03-13 14:22:53.000000,2021-08-18 09:39:00.000000,2021-08-18 09:33:04.000000,37,40.0,67.0,163.0,4779.0,BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and..,30.0,19,False,2021-06-10 10:54:52.000000,0.5.0,7.0,batchflow,,,,,,,https://pypi.org/project/batchflow,2021-06-10 10:54:52.000000,,66.0,66.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n725,textaugment,dsfsi/textaugment,,nlp,https://github.com/dsfsi/textaugment,https://github.com/dsfsi/textaugment,MIT,2019-05-06 12:28:19.000000,2021-06-28 17:34:26.000000,2021-06-28 17:34:05.000000,27,10.0,10.0,162.0,54.0,TextAugment: Text Augmentation Library.,4.0,19,False,2020-11-05 15:04:26.000000,1.3.4,8.0,textaugment,,,,,10.0,10.0,https://pypi.org/project/textaugment,2020-11-05 15:02:11.000000,,2821.0,2823.0,,,,,,,,3.0,53.0,,,,,,,,,,,,,,,,,,,,\n726,flupy,olirice/flupy,,data-pipelines,https://github.com/olirice/flupy,https://github.com/olirice/flupy,MIT,2018-01-06 16:46:04.000000,2021-05-26 18:54:20.000000,2021-05-26 18:54:08.000000,9,,7.0,159.0,180.0,Fluent data pipelines for python and your shell.,4.0,19,False,2021-05-26 18:53:55.000000,1.1.7,35.0,flupy,,,,,0.0,,https://pypi.org/project/flupy,2021-05-26 18:53:55.000000,0.0,65957.0,65957.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n727,graph-nets,deepmind/graph_nets,,graph,https://github.com/deepmind/graph_nets,https://github.com/deepmind/graph_nets,Apache-2.0,2018-08-31 08:19:28.000000,2020-12-04 17:43:48.000000,2020-12-04 17:43:47.000000,745,7.0,116.0,4955.0,47.0,Build Graph Nets in Tensorflow.,10.0,18,True,2020-01-29 16:00:25.000000,1.1.0,7.0,graph-nets,,,,['tensorflow'],7.0,,https://pypi.org/project/graph-nets,2020-01-29 16:00:25.000000,7.0,821.0,821.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n728,LIT,PAIR-code/lit,,interpretability,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000000,2021-08-19 13:29:28.000000,2021-04-05 17:58:30.000000,263,65.0,44.0,2627.0,,The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and..,14.0,18,True,2021-04-05 19:14:45.000000,0.3,5.0,lit-nlp,,,,,6.0,6.0,https://pypi.org/project/lit-nlp,2021-04-05 19:12:37.000000,,284.0,284.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n729,opyrator,ml-tooling/opyrator,,others,https://github.com/ml-tooling/opyrator,https://github.com/ml-tooling/opyrator,MIT,2021-04-06 08:09:06.000000,2021-06-02 04:27:49.000000,2021-05-06 12:10:38.000000,102,14.0,11.0,2372.0,,\"Turns your machine learning code into microservices with web API, interactive GUI, and more.\",4.0,18,True,2021-05-04 18:48:03.000000,0.0.12,11.0,opyrator,,,,,23.0,23.0,https://pypi.org/project/opyrator,2021-05-04 18:48:03.000000,,578.0,578.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n730,cuML,rapidsai/cuml,,gpu-utilities,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000000,2021-08-19 13:01:04.000000,2021-08-18 19:17:37.000000,345,629.0,1230.0,2310.0,,cuML - RAPIDS Machine Learning Library.,134.0,18,True,2021-08-06 20:27:37.000000,21.08.01,13.0,cuml,,,,,0.0,,https://pypi.org/project/cuml,2020-06-01 20:09:10.000000,0.0,555.0,555.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n731,spark-deep-learning,databricks/spark-deep-learning,,data-pipelines,https://github.com/databricks/spark-deep-learning,https://github.com/databricks/spark-deep-learning,Apache-2.0,2017-05-31 17:30:28.000000,2021-08-19 02:08:33.000000,2021-08-19 02:08:33.000000,457,73.0,27.0,1869.0,136.0,Deep Learning Pipelines for Apache Spark.,16.0,18,True,2020-01-08 19:50:31.000000,1.6.0,9.0,,,,,['spark'],17.0,17.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n732,riko,nerevu/riko,,data-pipelines,https://github.com/nerevu/riko,https://github.com/nerevu/riko,MIT,2016-06-02 12:22:51.000000,2020-08-14 18:29:28.000000,2020-08-14 16:47:45.000000,72,22.0,8.0,1567.0,1257.0,A Python stream processing engine modeled after Yahoo! Pipes.,18.0,18,True,2020-08-14 18:29:28.000000,0.66.0,58.0,riko,,,,,1.0,,https://pypi.org/project/riko,2020-08-14 18:29:28.000000,1.0,552.0,552.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n733,aim,aimhubio/aim,,ml-experiments,https://github.com/aimhubio/aim,https://github.com/aimhubio/aim,Apache-2.0,2019-05-31 18:25:07.000000,2021-08-19 13:43:34.000000,2021-08-19 13:43:34.000000,83,102.0,92.0,1403.0,,\"Aim a super-easy way to record, search and compare 1000s of ML training runs.\",18.0,18,True,2019-11-06 08:06:11.000000,3.1.0,67.0,aim,,,,,2.0,,https://pypi.org/project/aim,2021-07-20 11:35:48.000000,2.0,13979.0,13979.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n734,doc2text,jlsutherland/doc2text,,ocr,https://github.com/jlsutherland/doc2text,https://github.com/jlsutherland/doc2text,MIT,2016-08-28 19:30:02.000000,2020-12-01 22:56:27.000000,2020-12-01 22:56:26.000000,101,14.0,9.0,1244.0,62.0,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,5.0,18,True,2016-09-06 21:59:21.000000,0.2.4,5.0,doc2text,,,,,42.0,42.0,https://pypi.org/project/doc2text,2016-09-06 21:59:21.000000,,455.0,455.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n735,AdvBox,advboxes/AdvBox,,adversarial,https://github.com/advboxes/AdvBox,https://github.com/advboxes/AdvBox,Apache-2.0,2018-08-08 08:55:41.000000,2021-06-08 19:16:50.000000,2021-05-03 22:51:52.000000,234,8.0,29.0,1141.0,375.0,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,19.0,18,True,2018-12-05 02:48:50.000000,0.4.1,2.0,advbox,,,,,,,https://pypi.org/project/advbox,2018-12-05 02:48:50.000000,,56.0,56.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n736,Optimus,hi-primus/optimus,,data-pipelines,https://github.com/hi-primus/optimus,https://github.com/hi-primus/optimus,Apache-2.0,2017-07-13 02:31:18.000000,2021-08-19 02:53:03.000000,2021-08-19 02:51:28.000000,198,43.0,173.0,1042.0,,\"Agile Data Preparation Workflows madeeasy with Pandas, Dask, cuDF, Dask-cuDF and PySpark.\",25.0,18,True,2020-07-19 03:05:40.000000,2.2.32,85.0,optimuspyspark,,,,['spark'],,,https://pypi.org/project/optimuspyspark,2019-05-30 02:22:54.000000,,8016.0,8016.0,,,,,,,,3.0,,-4.0,,,,,,,,,,,,,,,,,,,\n737,Bounter,RaRe-Technologies/bounter,,data-containers,https://github.com/RaRe-Technologies/bounter,https://github.com/RaRe-Technologies/bounter,MIT,2017-07-18 07:24:15.000000,2021-05-24 07:30:15.000000,2021-05-24 07:29:54.000000,48,12.0,9.0,922.0,156.0,Efficient Counter that uses a limited (bounded) amount of memory regardless of data size.,8.0,18,True,2020-08-17 06:37:51.000000,1.1.1,7.0,bounter,,,,,38.0,24.0,https://pypi.org/project/bounter,2020-08-17 06:37:51.000000,14.0,158.0,158.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n738,iNNvestigate,albermax/innvestigate,,interpretability,https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20.000000,2021-08-03 15:45:16.000000,2021-08-03 15:45:16.000000,187,71.0,158.0,875.0,943.0,A toolbox to iNNvestigate neural networks' predictions!.,19.0,18,True,2020-11-14 11:35:59.000000,1.0.9,2.0,innvestigate,,,,['tensorflow'],1.0,,https://pypi.org/project/innvestigate,2020-11-14 11:35:59.000000,1.0,432.0,432.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n739,CrypTen,facebookresearch/CrypTen,,privacy-ml,https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000000,2021-08-12 16:52:38.000000,2021-08-12 16:52:36.000000,131,27.0,64.0,875.0,289.0,A framework for Privacy Preserving Machine Learning.,24.0,18,True,2020-04-21 13:59:37.000000,0.1,1.0,crypten,,,,['pytorch'],11.0,11.0,https://pypi.org/project/crypten,2020-02-05 18:53:03.000000,,194.0,194.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n740,XAI,EthicalML/xai,,interpretability,https://github.com/EthicalML/xai,https://github.com/EthicalML/xai,MIT,2019-01-11 20:00:09.000000,2021-07-20 20:24:37.000000,2021-04-23 07:08:20.000000,104,4.0,3.0,679.0,87.0,XAI - An eXplainability toolbox for machine learning.,3.0,18,True,2019-04-21 14:53:12.000000,0.0.5,5.0,xai,,,,,17.0,11.0,https://pypi.org/project/xai,2019-04-21 14:53:12.000000,6.0,312.0,312.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n741,bambi,bambinos/bambi,,probabilistics,https://github.com/bambinos/bambi,https://github.com/bambinos/bambi,MIT,2016-05-16 03:21:00.000000,2021-08-18 15:14:37.000000,2021-08-18 15:11:51.000000,60,26.0,167.0,660.0,,BAyesian Model-Building Interface (Bambi) in Python.,20.0,18,True,2021-08-09 16:56:37.000000,0.6.0,14.0,bambi,,,,,16.0,13.0,https://pypi.org/project/bambi,2021-08-09 16:56:37.000000,3.0,623.0,623.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n742,baikal,alegonz/baikal,,others,https://github.com/alegonz/baikal,https://github.com/alegonz/baikal,BSD-3-Clause,2019-01-21 12:59:02.000000,2021-04-18 08:09:10.000000,2021-04-11 07:50:00.000000,29,6.0,14.0,580.0,405.0,A graph-based functional API for building complex scikit-learn pipelines.,2.0,18,True,2020-11-15 13:40:18.000000,0.4.2,7.0,baikal,conda-forge/cython-blis,,,,3.0,3.0,https://pypi.org/project/baikal,2020-11-15 13:40:18.000000,0.0,815.0,34776.0,https://anaconda.org/conda-forge/cython-blis,2021-01-31 09:13:47.685000,984883.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n743,nboost,koursaros-ai/nboost,,nlp,https://github.com/koursaros-ai/nboost,https://github.com/koursaros-ai/nboost,Apache-2.0,2019-10-29 20:56:24.000000,2020-09-30 14:51:16.000000,2020-07-16 19:48:25.000000,63,28.0,50.0,580.0,1336.0,\"NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search..\",10.0,18,False,2020-06-12 20:05:15.000000,0.3.9,26.0,nboost,,,,,3.0,3.0,https://pypi.org/project/nboost,2020-06-12 20:05:15.000000,,209.0,209.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n744,TF Compression,tensorflow/compression,,tensorflow-utils,https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19.000000,2021-06-12 08:59:39.000000,2021-06-12 08:54:12.000000,178,1.0,67.0,517.0,173.0,Data compression in TensorFlow.,10.0,18,True,2021-05-14 00:38:32.000000,2.2,11.0,tensorflow-compression,,,,['tensorflow'],1.0,,https://pypi.org/project/tensorflow-compression,2021-05-14 00:25:53.000000,1.0,839.0,839.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n745,tcav,tensorflow/tcav,,interpretability,https://github.com/tensorflow/tcav,https://github.com/tensorflow/tcav,Apache-2.0,2018-07-03 17:45:35.000000,2021-08-07 23:04:18.000000,2021-08-07 23:04:15.000000,112,2.0,52.0,477.0,168.0,Code for the TCAV ML interpretability project.,19.0,18,True,2021-02-23 16:17:42.000000,0.2.2,4.0,tcav,,,,['tensorflow'],11.0,9.0,https://pypi.org/project/tcav,2021-02-23 16:17:42.000000,2.0,92.0,92.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n746,Vulkan Kompute,EthicalML/vulkan-kompute,,gpu-utilities,https://github.com/KomputeProject/kompute,https://github.com/KomputeProject/kompute,Apache-2.0,2020-07-29 05:23:33.000000,2021-07-25 17:45:59.000000,2021-07-25 17:45:59.000000,37,54.0,96.0,468.0,891.0,\"General purpose GPU compute framework for cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast,..\",14.0,18,True,2021-03-14 16:03:43.000000,0.7.0,11.0,kp,,,,,2.0,2.0,https://pypi.org/project/kp,2021-03-14 15:37:22.000000,,161.0,167.0,,,,,,,,3.0,75.0,,,,,,,,,,,,KomputeProject/kompute,,,,,,,,\n747,Baal,ElementAI/baal,,probabilistics,https://github.com/ElementAI/baal,https://github.com/ElementAI/baal,Apache-2.0,2019-09-30 20:16:26.000000,2021-08-18 17:42:54.000000,2021-08-16 13:30:28.000000,35,12.0,37.0,381.0,122.0,Using approximate bayesian posteriors in deep nets for active learning.,10.0,18,True,2021-08-06 14:40:02.000000,1.3.2,10.0,baal,,,,,9.0,9.0,https://pypi.org/project/baal,2021-08-06 14:40:02.000000,,298.0,298.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n748,animatplot,t-makaro/animatplot,,data-viz,https://github.com/t-makaro/animatplot,https://github.com/t-makaro/animatplot,MIT,2017-04-03 00:54:04.000000,2021-04-07 10:46:25.000000,2020-10-05 06:14:18.000000,34,17.0,16.0,378.0,178.0,A python package for animating plots build on matplotlib.,7.0,18,True,2020-10-05 06:20:52.000000,0.4.2,10.0,animatplot,conda-forge/animatplot,,,,27.0,25.0,https://pypi.org/project/animatplot,2020-10-05 06:20:52.000000,2.0,254.0,467.0,https://anaconda.org/conda-forge/animatplot,2020-10-06 02:02:00.460000,6402.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n749,BioPandas,rasbt/biopandas,,others,https://github.com/rasbt/biopandas,https://github.com/rasbt/biopandas,BSD-3-Clause,2015-11-21 00:00:14.000000,2021-07-30 14:48:13.000000,2021-07-30 14:48:13.000000,85,15.0,22.0,366.0,,Working with molecular structures in pandas DataFrames.,8.0,18,True,2021-03-03 00:55:13.000000,0.2.8,12.0,biopandas,conda-forge/biopandas,,,['pandas'],6.0,,https://pypi.org/project/biopandas,2021-03-03 00:55:13.000000,6.0,969.0,2459.0,https://anaconda.org/conda-forge/biopandas,2020-08-08 06:33:59.197000,83462.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n750,tick,X-DataInitiative/tick,,time-series-data,https://github.com/X-DataInitiative/tick,https://github.com/X-DataInitiative/tick,BSD-3-Clause,2016-12-01 10:59:08.000000,2020-08-11 12:36:43.000000,2020-06-15 12:01:36.000000,80,55.0,161.0,355.0,413.0,\"Module for statistical learning, with a particular emphasis on time-dependent modelling.\",16.0,18,False,2019-09-11 11:25:15.000000,0.6,23.0,tick,,,,,40.0,39.0,https://pypi.org/project/tick,2020-05-24 22:01:17.000000,1.0,1599.0,1602.0,,,,,,,,3.0,188.0,,,,,,,,,,,,,,,,,,,,\n751,Case Recommender,caserec/CaseRecommender,,recommender-systems,https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39.000000,2021-06-17 10:47:07.000000,2021-06-17 10:47:07.000000,75,7.0,17.0,354.0,203.0,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems.,11.0,18,True,2019-08-20 13:48:43.000000,1.1.0,41.0,caserecommender,,,,['sklearn'],9.0,9.0,https://pypi.org/project/caserecommender,2019-08-20 13:48:43.000000,,201.0,201.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n752,Camphr,PKSHATechnology-Research/camphr,,nlp,https://github.com/PKSHATechnology-Research/camphr,https://github.com/PKSHATechnology-Research/camphr,Apache-2.0,2020-02-10 03:39:58.000000,2021-08-18 06:06:52.000000,2021-08-18 06:06:51.000000,17,2.0,25.0,341.0,1404.0,Camphr - NLP libary for creating pipeline components.,7.0,18,True,2021-07-28 07:48:46.000000,0.10.0,48.0,camphr,,,,['spacy'],0.0,,https://pypi.org/project/camphr,2021-07-28 07:48:46.000000,0.0,708.0,708.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n753,datmo,datmo/datmo,,ml-experiments,https://github.com/datmo/datmo,https://github.com/datmo/datmo,MIT,2017-11-03 05:46:43.000000,2021-06-01 22:48:33.000000,2019-11-29 00:48:44.000000,27,42.0,149.0,336.0,1051.0,Open source production model management tool for data scientists.,6.0,18,False,2018-12-07 06:16:42.000000,0.0.40,41.0,datmo,,,,,5.0,5.0,https://pypi.org/project/datmo,2018-12-07 06:16:42.000000,,261.0,261.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n754,Sherpa,sherpa-ai/sherpa,,hyperopt,https://github.com/sherpa-ai/sherpa,https://github.com/sherpa-ai/sherpa,GPL-3.0,2018-05-16 21:41:54.000000,2020-10-18 07:57:50.000000,2020-10-18 07:57:48.000000,45,13.0,41.0,298.0,823.0,\"Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.\",43.0,18,False,2020-07-31 05:29:09.000000,1.0.7,8.0,parameter-sherpa,,,,,15.0,13.0,https://pypi.org/project/parameter-sherpa,2019-11-23 21:32:27.000000,2.0,543.0,543.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n755,recmetrics,statisticianinstilettos/recmetrics,,recommender-systems,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49.000000,2020-12-03 21:21:02.000000,2020-12-03 21:21:00.000000,66,5.0,7.0,284.0,233.0,A library of metrics for evaluating recommender systems.,12.0,18,False,2019-03-05 04:11:15.000000,0.0.12,14.0,recmetrics,,,,,19.0,19.0,https://pypi.org/project/recmetrics,2019-03-05 04:11:15.000000,,559.0,559.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n756,model-card-toolkit,tensorflow/model-card-toolkit,,interpretability,https://github.com/tensorflow/model-card-toolkit,https://github.com/tensorflow/model-card-toolkit,Apache-2.0,2020-07-24 16:48:58.000000,2021-08-19 03:44:24.000000,2021-08-10 07:00:45.000000,30,14.0,2.0,208.0,134.0,a tool that leverages rich metadata and lineage information in MLMD to build a model card.,11.0,18,False,2021-08-03 00:08:17.000000,1.0.0,5.0,model-card-toolkit,,,,,4.0,4.0,https://pypi.org/project/model-card-toolkit,2021-08-03 00:04:03.000000,,329.0,329.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n757,Muda,bmcfee/muda,,audio,https://github.com/bmcfee/muda,https://github.com/bmcfee/muda,ISC,2014-11-07 21:21:22.000000,2021-05-03 14:04:37.000000,2021-05-03 14:04:36.000000,34,5.0,44.0,193.0,293.0,A library for augmenting annotated audio data.,7.0,18,False,2019-11-15 15:46:21.000000,0.4.1,11.0,muda,,,,,13.0,12.0,https://pypi.org/project/muda,2019-11-15 15:46:21.000000,1.0,335.0,335.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n758,pyRDF2Vec,IBCNServices/pyRDF2Vec,,graph,https://github.com/IBCNServices/pyRDF2Vec,https://github.com/IBCNServices/pyRDF2Vec,MIT,2019-06-13 11:36:12.000000,2021-07-05 07:13:02.000000,2021-07-05 07:12:54.000000,21,3.0,39.0,128.0,1136.0,Python Implementation and Extension of RDF2Vec.,5.0,18,False,2021-06-09 10:56:14.000000,0.2.3,11.0,pyrdf2vec,,,,,,,https://pypi.org/project/pyrdf2vec,2021-06-09 10:56:14.000000,,181.0,181.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n759,PySlowFast,facebookresearch/SlowFast,,image,https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26.000000,2021-08-19 05:53:59.000000,2021-08-19 05:53:57.000000,770,217.0,228.0,4075.0,156.0,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,24.0,17,True,,,,,,,,['pytorch'],4.0,4.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n760,DALI,NVIDIA/DALI,,gpu-utilities,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000000,2021-08-18 21:25:29.000000,2021-08-17 20:29:59.000000,416,171.0,871.0,3418.0,,A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to..,62.0,17,True,2021-07-26 10:48:39.000000,1.4.0,42.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n761,ReAgent,facebookresearch/ReAgent,,reinforcement-learning,https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000000,2021-08-19 03:17:09.000000,2021-08-19 03:17:06.000000,426,41.0,75.0,2994.0,1281.0,\"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).\",106.0,17,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n762,Spotlight,maciejkula/spotlight,,recommender-systems,https://github.com/maciejkula/spotlight,https://github.com/maciejkula/spotlight,MIT,2017-06-25 18:52:19.000000,2020-11-15 08:21:28.000000,2020-02-09 21:03:48.000000,378,67.0,48.0,2552.0,299.0,Deep recommender models using PyTorch.,11.0,17,False,2019-09-08 10:19:53.000000,0.1.6,7.0,,maciejkula/spotlight,,,['pytorch'],,,,,,,127.0,https://anaconda.org/maciejkula/spotlight,2018-05-27 18:32:12.235000,6374.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n763,Mara Pipelines,mara/mara-pipelines,,data-pipelines,https://github.com/mara/mara-pipelines,https://github.com/mara/mara-pipelines,MIT,2018-03-31 20:37:22.000000,2021-07-10 15:56:16.000000,2021-03-08 23:02:33.000000,83,11.0,12.0,1757.0,134.0,\"A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow.\",16.0,17,True,2021-01-23 22:34:03.000000,3.1.2,7.0,mara-pipelines,,,,,7.0,7.0,https://pypi.org/project/mara-pipelines,2021-01-23 22:34:03.000000,,87.0,87.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n764,keepsake,replicate/keepsake,,ml-experiments,https://github.com/replicate/keepsake,https://github.com/replicate/keepsake,Apache-2.0,2020-07-01 04:37:44.000000,2021-08-18 23:19:24.000000,2021-05-07 00:33:52.000000,57,123.0,64.0,1507.0,,Version control for machine learning.,16.0,17,True,2021-03-11 21:15:01.000000,0.4.2,7.0,keepsake,,,,,,,https://pypi.org/project/keepsake,2021-03-11 21:15:01.000000,,971.0,971.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n765,Lambda Networks,lucidrains/lambda-networks,,pytorch-utils,https://github.com/lucidrains/lambda-networks,https://github.com/lucidrains/lambda-networks,MIT,2020-10-08 19:01:15.000000,2020-11-18 19:54:34.000000,2020-11-18 19:54:30.000000,152,12.0,15.0,1483.0,,\"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.\",3.0,17,True,2020-11-18 08:19:23.000000,0.4.0,11.0,lambda-networks,,,,['pytorch'],3.0,3.0,https://pypi.org/project/lambda-networks,2020-11-18 08:19:23.000000,,226.0,226.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n766,Antialiased CNNs,adobe/antialiased-cnns,,pytorch-utils,https://github.com/adobe/antialiased-cnns,https://github.com/adobe/antialiased-cnns,CC BY-NC-SA 4.0,2019-05-14 20:51:25.000000,2021-03-01 18:01:57.000000,2020-10-22 19:40:07.000000,184,10.0,31.0,1406.0,238.0,pip install antialiased-cnns to improve stability and accuracy.,6.0,17,False,2020-10-23 22:45:52.000000,0.3,6.0,antialiased-cnns,,,,['pytorch'],2.0,2.0,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49.000000,,2102.0,2102.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n767,Advisor,tobegit3hub/advisor,,hyperopt,https://github.com/tobegit3hub/advisor,https://github.com/tobegit3hub/advisor,Apache-2.0,2017-09-14 03:50:33.000000,2019-11-11 07:09:57.869705,2019-11-11 06:59:31.000000,254,20.0,13.0,1389.0,165.0,Open-source implementation of Google Vizier for hyper parameters tuning.,11.0,17,False,2018-10-18 02:54:09.000000,0.1.6,4.0,advisor,,tobegit3hub/advisor,,,,,https://pypi.org/project/advisor,2018-10-18 02:54:09.000000,,65.0,99.0,,,,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1609.0,3.0,,,,,,,,,,,,,,,,,,,,,\n768,Xcessiv,reiinakano/xcessiv,,hyperopt,https://github.com/reiinakano/xcessiv,https://github.com/reiinakano/xcessiv,Apache-2.0,2017-03-07 18:18:25.000000,2018-06-06 22:23:37.000000,2017-08-21 00:51:15.000000,109,22.0,13.0,1258.0,316.0,\"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.\",6.0,17,False,2017-08-21 00:53:25.000000,0.5.1,34.0,xcessiv,,,,,2.0,1.0,https://pypi.org/project/xcessiv,2017-08-21 00:49:41.000000,1.0,155.0,155.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n769,zenml,maiot-io/zenml,,data-pipelines,https://github.com/zenml-io/zenml,https://github.com/zenml-io/zenml,Apache-2.0,2020-11-19 09:25:46.000000,2021-08-18 15:36:09.000000,2021-08-16 09:52:35.000000,68,16.0,32.0,1252.0,,ZenML : MLOps framework to create reproducible ML pipelines for production machine learning.,13.0,17,True,2021-06-07 07:09:13.000000,0.3.8,34.0,zenml,,,,,1.0,1.0,https://pypi.org/project/zenml,2021-06-10 19:31:02.000000,,253.0,253.0,,,,,,,,3.0,,,,,,,,,,,,,zenml-io/zenml,,,,,,,,\n770,sklearn-porter,nok/sklearn-porter,,model-serialisation,https://github.com/nok/sklearn-porter,https://github.com/nok/sklearn-porter,MIT,2016-06-22 22:21:34.000000,2021-06-01 22:52:09.000000,2019-12-18 13:31:50.000000,138,42.0,29.0,1078.0,699.0,\"Transpile trained scikit-learn estimators to C, Java, JavaScript and others.\",11.0,17,False,2019-12-18 13:39:19.000000,0.7.4,20.0,sklearn-porter,,,,['sklearn'],1.0,,https://pypi.org/project/sklearn-porter,2019-12-18 13:39:19.000000,1.0,449.0,449.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n771,ecco,jalammar/ecco,,interpretability,https://github.com/jalammar/ecco,https://github.com/jalammar/ecco,BSD-3-Clause,2020-11-07 10:06:34.000000,2021-08-02 09:18:24.000000,2021-08-02 09:18:22.000000,52,11.0,9.0,867.0,,Visualize and explore NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks..,3.0,17,True,2021-08-02 08:50:55.000000,0.0.15,15.0,ecco,,,,['pytorch'],3.0,3.0,https://pypi.org/project/ecco,2021-08-02 08:50:55.000000,0.0,321.0,321.0,,,,,,,,3.0,2.0,,,,,,,,,,,,,,,,,,,,\n772,DIG,divelab/DIG,,graph,https://github.com/divelab/DIG,https://github.com/divelab/DIG,GPL-3.0,2020-10-30 03:51:15.000000,2021-08-18 22:27:50.000000,2021-08-18 22:27:50.000000,96,1.0,36.0,845.0,,A library for graph deep learning research.,27.0,17,False,2021-08-12 15:18:20.000000,0.1.1,10.0,dig,,,,,8.0,,https://pypi.org/project/dig,2015-08-23 10:30:20.000000,8.0,329.0,329.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n773,AlphaPy,ScottfreeLLC/AlphaPy,,hyperopt,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32.000000,2021-02-08 21:35:40.000000,2021-02-08 21:35:40.000000,136,9.0,29.0,624.0,409.0,\"Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost.\",3.0,17,True,2020-08-29 18:48:20.000000,2.5.0,25.0,alphapy,,,,,3.0,3.0,https://pypi.org/project/alphapy,2020-08-29 18:44:15.000000,,191.0,191.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n774,Tensor Sensor,parrt/tensor-sensor,,pytorch-utils,https://github.com/parrt/tensor-sensor,https://github.com/parrt/tensor-sensor,MIT,2020-08-28 22:54:04.000000,2021-05-26 23:19:21.000000,2021-05-26 23:19:17.000000,27,5.0,13.0,576.0,167.0,The goal of this library is to generate more helpful exception messages for numpy/pytorch matrix algebra expressions.,2.0,17,True,2021-05-26 23:15:44.000000,0.1.2,35.0,tensor-sensor,,,,['pytorch'],2.0,2.0,https://pypi.org/project/tensor-sensor,2021-05-26 23:15:44.000000,,2229.0,2229.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n775,avalanche,ContinualAI/avalanche,,others,https://github.com/ContinualAI/avalanche,https://github.com/ContinualAI/avalanche,MIT,2020-03-05 11:32:13.000000,2021-08-18 10:42:00.000000,2021-08-05 15:11:21.000000,81,61.0,329.0,562.0,2014.0,Avalanche: an End-to-End Library for Continual Learning.,36.0,17,True,2021-03-11 11:51:35.000000,0.0.1,1.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n776,Sematch,gsi-upm/sematch,,graph,https://github.com/gsi-upm/sematch,https://github.com/gsi-upm/sematch,Apache-2.0,2012-11-30 11:11:53.000000,2020-11-05 21:20:52.000000,2019-03-27 03:17:24.000000,100,14.0,19.0,361.0,122.0,semantic similarity framework for knowledge graph.,5.0,17,False,2017-04-17 10:56:52.000000,1.0.4,5.0,sematch,,,,,32.0,29.0,https://pypi.org/project/sematch,2017-04-17 10:56:52.000000,3.0,199.0,199.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n777,bodywork-core,bodywork-ml/bodywork-core,,data-pipelines,https://github.com/bodywork-ml/bodywork-core,https://github.com/bodywork-ml/bodywork-core,AGPL-3.0,2020-11-17 11:38:17.000000,2021-08-19 10:05:23.000000,2021-07-05 08:09:48.000000,12,12.0,27.0,267.0,467.0,MLOps tool for deploying machine learning projects to Kubernetes.,4.0,17,False,2021-07-05 08:15:59.000000,2.1.7,45.0,bodywork,,,,,6.0,6.0,https://pypi.org/project/bodywork,2021-07-05 08:15:59.000000,,473.0,473.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n778,solt,MIPT-Oulu/solt,,image,https://github.com/MIPT-Oulu/solt,https://github.com/MIPT-Oulu/solt,MIT,2018-08-02 15:09:05.000000,2020-12-05 11:06:18.000000,2020-04-09 06:44:39.000000,19,17.0,30.0,252.0,336.0,Streaming over lightweight data transformations.,4.0,17,False,2020-03-10 14:09:31.000000,0.1.9,18.0,solt,,,,,26.0,23.0,https://pypi.org/project/solt,2020-03-10 14:09:31.000000,3.0,197.0,197.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n779,elegy,poets-ai/elegy,,ml-frameworks,https://github.com/poets-ai/elegy,https://github.com/poets-ai/elegy,Apache-2.0,2020-06-30 14:00:37.000000,2021-08-13 02:23:05.000000,2021-08-13 02:23:05.000000,14,23.0,39.0,246.0,307.0,Elegy is a framework-agnostic Trainer interface for the Jax ecosystem.,14.0,17,False,2021-06-01 15:54:50.000000,0.7.4,23.0,elegy,,,,\"['tensorflow', 'jax']\",,,https://pypi.org/project/elegy,2021-06-01 15:45:43.000000,,353.0,353.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n780,DeepGraph,deepgraph/deepgraph,,graph,https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45.000000,2021-07-26 14:36:30.155000,2021-06-14 10:58:10.000000,35,9.0,5.0,242.0,162.0,Analyze Data with Pandas-based Networks. Documentation:.,2.0,17,False,2020-10-01 13:20:38.000000,0.2.3,13.0,deepgraph,conda-forge/deepgraph,,,['pandas'],1.0,1.0,https://pypi.org/project/deepgraph,2020-10-01 13:18:38.000000,,493.0,2695.0,https://anaconda.org/conda-forge/deepgraph,2021-07-26 14:36:30.155000,105732.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n781,Julius,adefossez/julius,,audio,https://github.com/adefossez/julius,https://github.com/adefossez/julius,MIT,2020-10-26 10:54:21.000000,2021-07-28 09:20:01.000000,2021-07-28 09:18:16.000000,10,1.0,6.0,218.0,,Fast PyTorch based DSP for audio and 1D signals.,2.0,17,False,2021-07-28 09:19:47.000000,0.2.5,9.0,julius,,,,['pytorch'],27.0,27.0,https://pypi.org/project/julius,2021-07-28 09:19:47.000000,0.0,5680.0,5680.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n782,lkpy,lenskit/lkpy,,recommender-systems,https://github.com/lenskit/lkpy,https://github.com/lenskit/lkpy,MIT,2018-06-08 21:05:10.000000,2021-08-16 18:31:50.000000,2021-08-16 18:31:46.000000,49,26.0,60.0,179.0,,Python recommendation toolkit.,13.0,17,False,2021-06-22 17:06:47.000000,0.13.1,20.0,lenskit,conda-forge/lenskit,,,,0.0,,https://pypi.org/project/lenskit,2021-06-22 17:07:09.000000,0.0,1556.0,2201.0,https://anaconda.org/conda-forge/lenskit,2021-06-22 22:08:21.249000,5806.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n783,TorchDrift,torchdrift/torchdrift,,pytorch-utils,https://github.com/TorchDrift/TorchDrift,https://github.com/TorchDrift/TorchDrift,Apache-2.0,2021-02-10 09:27:48.000000,2021-06-29 11:52:29.000000,2021-06-29 11:52:29.000000,4,1.0,3.0,166.0,33.0,Drift Detection for your PyTorch Models.,2.0,17,False,2021-03-08 12:21:48.000000,0.1.0,3.0,torchdrift,,,,['pytorch'],11.0,11.0,https://pypi.org/project/torchdrift,2021-03-08 12:51:05.000000,,208.0,208.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n784,Larq Compute Engine,larq/compute-engine,,model-serialisation,https://github.com/larq/compute-engine,https://github.com/larq/compute-engine,Apache-2.0,2019-08-29 15:02:43.000000,2021-08-01 14:51:57.000000,2021-07-30 09:01:02.000000,24,22.0,101.0,162.0,,Highly optimized inference engine for Binarized Neural Networks.,16.0,17,False,2021-07-09 20:05:04.000000,0.6.1,14.0,larq-compute-engine,,,,,4.0,4.0,https://pypi.org/project/larq-compute-engine,2021-07-09 20:05:04.000000,,800.0,815.0,,,,,,,,3.0,283.0,,,,,,,,,,,,,,,,,,,,\n785,steppy,minerva-ml/steppy,,ml-experiments,https://github.com/minerva-ml/steppy,https://github.com/minerva-ml/steppy,MIT,2018-01-15 09:40:49.000000,2018-11-23 09:49:59.000000,2018-11-23 09:47:34.000000,32,16.0,50.0,128.0,69.0,\"Lightweight, Python library for fast and reproducible experimentation.\",5.0,17,False,2018-11-23 09:49:59.000000,0.1.16,16.0,steppy,,,,,44.0,39.0,https://pypi.org/project/steppy,2018-11-23 09:49:59.000000,5.0,195.0,195.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n786,DE⫶TR,facebookresearch/detr,,image,https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52.000000,2021-08-19 14:01:27.000000,2021-06-30 10:31:23.000000,1212,100.0,258.0,7387.0,42.0,End-to-End Object Detection with Transformers.,21.0,16,True,2020-06-29 16:41:01.000000,0.2,1.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n787,DeepMind Lab,deepmind/lab,,reinforcement-learning,https://github.com/deepmind/lab,https://github.com/deepmind/lab,GPL-2.0,2016-11-30 13:41:26.000000,2021-08-16 13:53:16.000000,2021-07-21 17:50:32.000000,1323,43.0,159.0,6518.0,488.0,A customisable 3D platform for agent-based AI research.,7.0,16,False,2020-12-07 11:26:33.000000,release-2020-12-07,8.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n788,tinygrad,geohot/tinygrad,,pytorch-utils,https://github.com/geohot/tinygrad,https://github.com/geohot/tinygrad,MIT,2020-10-18 16:23:12.000000,2021-08-06 14:58:13.000000,2021-08-06 14:58:13.000000,547,21.0,64.0,4942.0,562.0,You like pytorch? You like micrograd? You love tinygrad!.,50.0,16,True,,,,,,,,['pytorch'],1.0,1.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n789,GraphEmbedding,shenweichen/GraphEmbedding,,graph,https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20.000000,2021-07-11 08:20:02.000000,2020-10-18 09:32:47.000000,665,35.0,14.0,2197.0,28.0,Implementation and experiments of graph embedding algorithms.,8.0,16,True,,,,,,,,['sklearn'],12.0,12.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n790,automl-gs,minimaxir/automl-gs,,hyperopt,https://github.com/minimaxir/automl-gs,https://github.com/minimaxir/automl-gs,MIT,2019-01-13 18:57:44.000000,2019-10-22 11:20:40.000000,2019-04-05 06:48:14.000000,164,26.0,6.0,1749.0,102.0,\"Provide an input CSV and a target field to predict, generate a model + code to run it.\",7.0,16,False,2019-04-05 06:51:04.000000,0.2.1,2.0,automl_gs,,,,,,,https://pypi.org/project/automl_gs,2019-04-05 06:47:54.000000,,44.0,44.0,,,,,,,,3.0,22.0,,,,,,,,,,,,,,,,,,,,\n791,pycls,facebookresearch/pycls,,image,https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17.000000,2021-08-19 02:33:56.000000,2021-08-19 02:33:54.000000,182,17.0,52.0,1675.0,,\"Codebase for Image Classification Research, written in PyTorch.\",13.0,16,True,2021-05-21 00:29:47.000000,0.2,2.0,,,,,['pytorch'],3.0,3.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n792,BlazingSQL,BlazingDB/blazingsql,,gpu-utilities,https://github.com/BlazingDB/blazingsql,https://github.com/BlazingDB/blazingsql,Apache-2.0,2018-09-24 18:25:45.000000,2021-08-18 22:14:36.000000,2021-08-18 22:11:20.000000,148,129.0,586.0,1558.0,,\"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.\",47.0,16,True,2021-08-16 15:40:43.000000,21.08.00,19.0,,blazingsql/blazingsql-protocol,,,,,,,,,,40.0,https://anaconda.org/blazingsql/blazingsql-protocol,2019-11-11 19:54:17.621000,932.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n793,Botflow,kkyon/botflow,,data-pipelines,https://github.com/kkyon/botflow,https://github.com/kkyon/botflow,BSD-3-Clause,2018-08-20 03:13:31.000000,2020-12-31 09:03:22.000000,2019-05-23 14:40:50.000000,99,2.0,2.0,1175.0,192.0,\"Python Fast Dataflow programming framework for Data pipeline work( Web Crawler,Machine Learning,Quantitative..\",11.0,16,False,2018-09-14 14:38:32.000000,0.2.0,5.0,botflow,,,,,1.0,1.0,https://pypi.org/project/botflow,2018-09-14 14:38:32.000000,,75.0,75.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n794,torchsde,google-research/torchsde,,pytorch-utils,https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11.000000,2021-07-26 13:59:41.000000,2021-07-26 13:59:38.000000,83,7.0,32.0,800.0,157.0,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,5.0,16,True,2021-01-05 18:31:38.000000,0.2.4,4.0,,,,,['pytorch'],7.0,7.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n795,cuGraph,rapidsai/cugraph,,gpu-utilities,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000000,2021-08-19 14:23:04.000000,2021-08-18 21:10:23.000000,151,111.0,603.0,782.0,,cuGraph - RAPIDS Graph Analytics Library.,65.0,16,True,2021-08-17 14:01:10.000000,21.08.03,13.0,cugraph,,,,,0.0,,https://pypi.org/project/cugraph,2020-06-01 20:09:06.000000,0.0,71.0,71.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n796,MedicalTorch,perone/medicaltorch,,medical-data,https://github.com/perone/medicaltorch,https://github.com/perone/medicaltorch,Apache-2.0,2018-02-27 02:50:07.000000,2021-04-16 18:50:54.000000,2021-04-16 18:50:54.000000,111,14.0,9.0,740.0,57.0,A medical imaging framework for Pytorch.,8.0,16,True,2018-11-24 00:33:11.000000,0.2,2.0,medicaltorch,,,,['pytorch'],11.0,11.0,https://pypi.org/project/medicaltorch,2018-11-24 00:29:36.000000,,234.0,234.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n797,madgrad,facebookresearch/madgrad,,pytorch-utils,https://github.com/facebookresearch/madgrad,https://github.com/facebookresearch/madgrad,MIT,2021-01-12 19:41:06.000000,2021-08-11 19:03:34.000000,2021-04-01 13:46:36.000000,50,2.0,7.0,719.0,,MADGRAD Optimization Method.,1.0,16,True,,,2.0,madgrad,,,,['pytorch'],13.0,13.0,https://pypi.org/project/madgrad,2021-04-01 13:54:29.000000,,3502.0,3502.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n798,HyperparameterHunter,HunterMcGushion/hyperparameter_hunter,,hyperopt,https://github.com/HunterMcGushion/hyperparameter_hunter,https://github.com/HunterMcGushion/hyperparameter_hunter,MIT,2018-06-01 23:17:00.000000,2021-01-20 03:52:41.000000,2021-01-20 03:52:40.000000,83,37.0,84.0,661.0,1096.0,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries.,4.0,16,True,2019-08-06 09:09:45.000000,3.0.0,16.0,hyperparameter-hunter,,,,,2.0,,https://pypi.org/project/hyperparameter-hunter,2019-08-06 08:52:20.000000,2.0,153.0,162.0,,,,,,,,3.0,327.0,,,,,,,,,,,,,,,,,,,,\n799,Tez,abhishekkrthakur/tez,,pytorch-utils,https://github.com/abhishekkrthakur/tez,https://github.com/abhishekkrthakur/tez,Apache-2.0,2020-11-13 10:19:22.000000,2021-08-16 18:42:17.000000,2021-08-16 12:37:59.000000,91,15.0,9.0,643.0,,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,1.0,16,True,2021-08-16 18:42:17.000000,0.1.8,13.0,tez,,,,['pytorch'],9.0,9.0,https://pypi.org/project/tez,2021-08-16 12:38:36.000000,0.0,1054.0,1054.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n800,NeoML,neoml-lib/neoml,,ml-frameworks,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000000,2021-08-19 10:11:29.000000,2021-08-12 20:50:17.000000,90,28.0,20.0,641.0,407.0,Machine learning framework for both deep learning and traditional algorithms.,21.0,16,True,2021-06-22 05:25:53.000000,NeoML-master_2.0.5.0,2.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n801,SpeedTorch,Santosh-Gupta/SpeedTorch,,gpu-utilities,https://github.com/Santosh-Gupta/SpeedTorch,https://github.com/Santosh-Gupta/SpeedTorch,MIT,2019-09-07 18:57:52.000000,2020-02-21 23:13:29.000000,2020-02-21 23:13:28.000000,39,3.0,2.0,621.0,170.0,Library for faster pinned CPU - GPU transfer in Pytorch.,3.0,16,False,2020-01-06 05:27:17.000000,0.1.6,14.0,SpeedTorch,,,,['pytorch'],5.0,3.0,https://pypi.org/project/SpeedTorch,2020-01-06 05:27:17.000000,2.0,145.0,145.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n802,FlashTorch,MisaOgura/flashtorch,,interpretability,https://github.com/MisaOgura/flashtorch,https://github.com/MisaOgura/flashtorch,MIT,2019-03-22 13:00:57.000000,2021-06-30 12:46:02.000000,2021-04-27 11:10:20.000000,71,10.0,22.0,613.0,127.0,Visualization toolkit for neural networks in PyTorch! Demo --.,2.0,16,True,2020-05-29 14:39:38.000000,0.1.3,12.0,flashtorch,,,,['pytorch'],7.0,7.0,https://pypi.org/project/flashtorch,2020-05-29 14:38:32.000000,,240.0,240.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n803,ThunderGBM,Xtra-Computing/thundergbm,,ml-frameworks,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08.000000,2021-04-01 02:08:51.000000,2021-01-05 04:22:15.000000,79,22.0,28.0,607.0,606.0,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,10.0,16,True,2020-05-01 23:16:25.000000,0.3.16,24.0,thundergbm,,,,,,,https://pypi.org/project/thundergbm,2020-05-01 23:16:25.000000,,151.0,151.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n804,SKLL,EducationalTestingService/skll,,ml-experiments,https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,BSD-1-Clause,2013-08-02 14:31:46.000000,2021-05-14 14:51:58.000000,2021-04-30 14:40:12.000000,64,39.0,348.0,523.0,,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,35.0,16,False,2021-02-26 03:01:01.000000,2.5,64.0,skll,,,,['sklearn'],47.0,30.0,https://pypi.org/project/skll,2020-03-13 16:23:35.000000,17.0,635.0,635.0,,,,,,,,3.0,11.0,,,,,,,,,,,,,,,,,,,,\n805,Auto Tune Models,HDI-Project/ATM,,hyperopt,https://github.com/HDI-Project/ATM,https://github.com/HDI-Project/ATM,MIT,2016-10-14 18:03:00.000000,2020-02-21 17:44:07.000000,2020-02-21 17:40:58.000000,127,17.0,71.0,510.0,775.0,\"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).\",16.0,16,False,2019-07-30 09:28:26.000000,0.2.2,14.0,atm,,,,,6.0,6.0,https://pypi.org/project/atm,2019-07-30 09:25:11.000000,,128.0,128.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n806,pytorch_tabular,manujosephv/pytorch_tabular,,tabular,https://github.com/manujosephv/pytorch_tabular,https://github.com/manujosephv/pytorch_tabular,MIT,2020-12-15 07:17:03.000000,2021-08-06 02:24:47.000000,2021-08-06 02:24:47.000000,37,15.0,19.0,392.0,,A standard framework for modelling Deep Learning Models for tabular data.,3.0,16,True,2021-06-20 06:57:47.000000,0.6.0,7.0,pytorch_tabular,,,,['pytorch'],,,https://pypi.org/project/pytorch_tabular,2021-06-20 06:57:47.000000,,980.0,980.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n807,atspy,firmai/atspy,,time-series-data,https://github.com/firmai/atspy,https://github.com/firmai/atspy,MIT,2020-01-28 05:00:10.000000,2021-05-21 16:09:11.000000,2020-11-12 16:15:26.000000,74,18.0,2.0,370.0,97.0,AtsPy: Automated Time Series Models in Python (by @firmai).,5.0,16,True,2020-11-12 16:10:48.000000,zen,39.0,atspy,,,,,3.0,3.0,https://pypi.org/project/atspy,2020-04-24 18:16:15.000000,,1166.0,1166.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n808,VizSeq,facebookresearch/vizseq,,nlp,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38.000000,2021-08-11 15:45:42.000000,2021-08-04 14:49:54.000000,41,7.0,8.0,349.0,52.0,\"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).\",3.0,16,True,2020-08-07 01:13:52.000000,0.1.15,16.0,vizseq,,,,,2.0,2.0,https://pypi.org/project/vizseq,2020-08-07 01:13:52.000000,,164.0,164.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n809,carefree-learn,carefree0910/carefree-learn,,tabular,https://github.com/carefree0910/carefree-learn,https://github.com/carefree0910/carefree-learn,MIT,2020-06-17 17:44:17.000000,2021-08-19 15:31:27.000000,2021-08-13 05:58:26.000000,28,4.0,77.0,343.0,194.0,Deep Learning PyTorch.,1.0,16,True,2021-04-09 01:12:31.000000,0.1.16,17.0,carefree-learn,,,,['pytorch'],2.0,2.0,https://pypi.org/project/carefree-learn,2021-03-18 01:39:58.000000,,109.0,109.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n810,LOFO,aerdem4/lofo-importance,,interpretability,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46.000000,2021-01-27 13:57:42.000000,2020-07-02 11:49:52.000000,42,3.0,10.0,341.0,24.0,Leave One Feature Out Importance.,3.0,16,False,2020-07-02 11:44:57.000000,0.2.6,9.0,lofo-importance,,,,,5.0,5.0,https://pypi.org/project/lofo-importance,2020-07-02 11:44:57.000000,,321.0,321.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n811,pdvega,altair-viz/pdvega,,data-viz,https://github.com/altair-viz/pdvega,https://github.com/altair-viz/pdvega,MIT,2018-01-11 21:30:27.000000,2019-03-29 16:09:14.000000,2019-03-29 16:09:13.000000,30,16.0,10.0,339.0,177.0,Interactive plotting for Pandas using Vega-Lite.,9.0,16,False,,,1.0,pdvega,,,,,58.0,51.0,https://pypi.org/project/pdvega,2018-02-01 04:56:43.000000,7.0,132.0,132.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n812,Pywick,achaiah/pywick,,pytorch-utils,https://github.com/achaiah/pywick,https://github.com/achaiah/pywick,MIT,2019-03-25 15:42:47.000000,2021-08-09 21:56:35.000000,2021-05-17 15:46:51.000000,36,3.0,10.0,328.0,124.0,High-level batteries-included neural network training library for Pytorch.,4.0,16,True,2020-01-20 22:14:21.000000,0.5.6,6.0,pywick,,,,['pytorch'],4.0,4.0,https://pypi.org/project/pywick,2020-01-20 22:14:21.000000,,62.0,62.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n813,TextBox,RUCAIBox/TextBox,,nlp,https://github.com/RUCAIBox/TextBox,https://github.com/RUCAIBox/TextBox,MIT,2020-11-08 07:35:46.000000,2021-08-01 04:00:07.000000,2021-08-01 04:00:07.000000,45,3.0,7.0,292.0,,TextBox is an open-source library for building text generation system.,10.0,16,False,2021-04-15 13:39:28.000000,0.2.1,10.0,textbox,,,,,5.0,5.0,https://pypi.org/project/textbox,2021-04-15 09:35:06.000000,,87.0,87.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n814,Headliner,as-ideas/headliner,,nlp,https://github.com/as-ideas/headliner,https://github.com/as-ideas/headliner,MIT,2019-09-30 11:33:28.000000,2021-03-26 07:19:57.000000,2020-02-14 09:03:27.000000,39,1.0,13.0,230.0,276.0,Easy training and deployment of seq2seq models.,2.0,16,False,2020-01-24 09:06:29.000000,1.0.2,30.0,headliner,,,,,4.0,3.0,https://pypi.org/project/headliner,2020-01-24 09:06:29.000000,1.0,447.0,447.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n815,skift,shaypal5/skift,,nlp,https://github.com/shaypal5/skift,https://github.com/shaypal5/skift,MIT,2018-02-03 11:37:21.000000,2021-03-31 10:11:28.000000,2021-03-31 10:11:20.000000,22,2.0,8.0,222.0,129.0,scikit-learn wrappers for Python fastText.,7.0,16,False,2020-08-27 15:01:05.000000,0.0.19,15.0,skift,,,,['sklearn'],8.0,8.0,https://pypi.org/project/skift,2020-08-27 15:01:05.000000,,554.0,554.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n816,launchpad,deepmind/launchpad,,distributed-ml,https://github.com/deepmind/launchpad,https://github.com/deepmind/launchpad,Apache-2.0,2021-02-18 15:16:49.000000,2021-08-19 08:12:01.000000,2021-08-19 08:11:23.000000,13,1.0,12.0,219.0,127.0,Launchpad is a library that simplifies writing distributed programs and seamlessly launching them on a range of..,11.0,16,False,2021-07-19 14:37:01.000000,0.3.1,4.0,dm-launchpad,,,,['tensorflow'],,,https://pypi.org/project/dm-launchpad,2021-07-19 14:37:01.000000,,185.0,185.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n817,NeuralQA,victordibia/neuralqa,,nlp,https://github.com/victordibia/neuralqa,https://github.com/victordibia/neuralqa,MIT,2020-05-19 03:55:56.000000,2021-08-12 21:16:03.000000,2020-12-16 17:41:37.000000,30,31.0,8.0,202.0,312.0,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,3.0,16,False,,,27.0,neuralqa,,,,,2.0,2.0,https://pypi.org/project/neuralqa,2020-09-18 17:54:50.000000,,153.0,153.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n818,Parfit,jmcarpenter2/parfit,,hyperopt,https://github.com/jmcarpenter2/parfit,https://github.com/jmcarpenter2/parfit,MIT,2017-11-22 20:17:51.000000,2020-04-04 19:26:44.000000,2020-04-04 19:26:37.000000,25,6.0,5.0,197.0,127.0,\"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..\",2.0,16,False,,,23.0,parfit,,,,['sklearn'],8.0,8.0,https://pypi.org/project/parfit,2018-10-11 22:03:16.000000,,17499.0,17499.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n819,skggm,skggm/skggm,,sklearn-utils,https://github.com/skggm/skggm,https://github.com/skggm/skggm,MIT,2016-06-11 18:35:56.000000,2020-12-24 08:36:00.000000,2020-12-24 05:43:15.000000,31,28.0,47.0,185.0,691.0,Scikit-learn compatible estimation of general graphical models.,5.0,16,False,2018-09-12 01:12:49.000000,0.2.8,6.0,skggm,,,,['sklearn'],8.0,6.0,https://pypi.org/project/skggm,2018-09-12 01:12:49.000000,2.0,69.0,69.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n820,nx-altair,Zsailer/nx_altair,,data-viz,https://github.com/Zsailer/nx_altair,https://github.com/Zsailer/nx_altair,MIT,2018-05-13 00:10:12.000000,2020-09-30 12:01:08.000000,2020-06-02 21:10:26.000000,21,6.0,4.0,168.0,51.0,Draw interactive NetworkX graphs with Altair.,3.0,16,False,2020-06-02 21:11:12.000000,0.1.6,8.0,nx-altair,,,,['jupyter'],4.0,,https://pypi.org/project/nx-altair,2020-06-02 21:11:12.000000,4.0,416.0,416.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n821,ipyexperiments,stas00/ipyexperiments,,gpu-utilities,https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40.000000,2021-03-28 18:24:12.000000,2021-03-28 18:23:45.000000,10,,4.0,136.0,196.0,jupyter/ipython experiment containers for GPU and general RAM re-use.,3.0,16,False,2021-03-28 03:39:09.000000,0.1.26,23.0,ipyexperiments,,,,['jupyter'],7.0,5.0,https://pypi.org/project/ipyexperiments,2021-03-28 03:39:09.000000,2.0,242.0,242.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n822,celer,mathurinm/celer,,sklearn-utils,https://github.com/mathurinm/celer,https://github.com/mathurinm/celer,BSD-3-Clause,2018-02-20 19:37:31.000000,2021-07-27 15:03:30.000000,2021-07-20 14:09:21.000000,22,16.0,52.0,120.0,219.0,\"Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.\",9.0,16,False,2020-10-12 12:26:09.000000,0.5.1,10.0,celer,,,,['sklearn'],5.0,5.0,https://pypi.org/project/celer,2020-12-09 13:19:10.000000,,115.0,115.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n823,dabl,amueller/dabl,,sklearn-utils,https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49.000000,2021-07-09 20:34:09.000000,2021-07-09 18:47:52.000000,9,1.0,,104.0,,Data Analysis Baseline Library.,21.0,16,False,2021-07-09 19:20:43.000000,0.2.2,12.0,dabl,,,,['sklearn'],,,https://pypi.org/project/dabl,2021-07-09 19:20:43.000000,,1787.0,1787.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n824,OpenNRE,thunlp/OpenNRE,,nlp,https://github.com/thunlp/OpenNRE,https://github.com/thunlp/OpenNRE,MIT,2017-02-26 07:37:12.000000,2021-06-21 10:38:53.000000,2021-05-31 02:53:22.000000,864,21.0,315.0,3256.0,158.0,An Open-Source Package for Neural Relation Extraction (NRE).,9.0,15,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n825,Euler,alibaba/euler,,graph,https://github.com/alibaba/euler,https://github.com/alibaba/euler,Apache-2.0,2019-01-10 06:32:32.000000,2021-04-19 11:30:28.000000,2020-07-29 05:53:01.000000,524,212.0,102.0,2638.0,8.0,A distributed graph deep learning framework.,5.0,15,False,2020-07-07 02:24:18.000000,2.0.0,2.0,euler-gl,,,,['tensorflow'],,,https://pypi.org/project/euler-gl,2019-04-10 01:53:45.000000,,42.0,42.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n826,Translate,pytorch/translate,,nlp,https://github.com/pytorch/translate,https://github.com/pytorch/translate,BSD-3-Clause,2018-04-24 16:44:04.000000,2021-08-17 13:09:32.000000,2021-08-17 13:09:30.000000,169,66.0,27.0,708.0,808.0,Translate - a PyTorch Language Library.,86.0,15,True,,,1.0,pytorch-translate,,,,['pytorch'],,,https://pypi.org/project/pytorch-translate,2018-05-01 19:59:40.000000,,13.0,13.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n827,textflint,textflint/textflint,,adversarial,https://github.com/textflint/textflint,https://github.com/textflint/textflint,GPL-3.0,2021-03-06 11:15:52.000000,2021-07-25 11:25:11.000000,2021-07-11 12:35:29.000000,72,1.0,14.0,493.0,154.0,Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing.,11.0,15,False,2021-07-09 03:21:27.000000,0.0.4,4.0,textflint,,,,,1.0,1.0,https://pypi.org/project/textflint,2021-07-09 03:21:27.000000,,125.0,125.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n828,kglib,vaticle/kglib,,graph,https://github.com/vaticle/kglib,https://github.com/vaticle/kglib,Apache-2.0,2018-09-16 16:46:48.000000,2021-05-31 07:19:24.000000,2021-01-15 11:17:51.000000,84,12.0,49.0,451.0,487.0,Grakn Knowledge Graph Library (ML R&D).,7.0,15,True,2020-08-19 15:39:10.000000,0.2.2,7.0,grakn-kglib,,,,,,,https://pypi.org/project/grakn-kglib,2020-08-19 15:39:10.000000,,128.0,134.0,,,,,,,,3.0,211.0,,,,,,,,,,,,,,,,,,,,\n829,OpenRec,ylongqi/openrec,,recommender-systems,https://github.com/ylongqi/openrec,https://github.com/ylongqi/openrec,Apache-2.0,2017-11-29 16:04:40.000000,2021-05-21 14:50:17.000000,2020-02-19 07:57:17.000000,84,5.0,12.0,377.0,213.0,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms.,11.0,15,False,2020-02-18 06:52:11.000000,0.3.0,12.0,openrec,,,,,2.0,1.0,https://pypi.org/project/openrec,2020-02-18 06:52:11.000000,1.0,103.0,103.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n830,tfdeploy,riga/tfdeploy,,model-serialisation,https://github.com/riga/tfdeploy,https://github.com/riga/tfdeploy,BSD-3-Clause,2016-03-07 13:08:21.000000,2021-01-08 09:52:54.000000,2021-01-08 09:52:49.000000,38,10.0,23.0,346.0,170.0,Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.,4.0,15,True,2017-03-30 10:51:26.000000,0.4.2,22.0,tfdeploy,,,,['tensorflow'],2.0,,https://pypi.org/project/tfdeploy,2017-03-30 10:51:26.000000,2.0,120.0,120.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n831,TransferNLP,feedly/transfer-nlp,,nlp,https://github.com/feedly/transfer-nlp,https://github.com/feedly/transfer-nlp,MIT,2019-03-12 20:00:31.000000,2020-05-28 19:00:02.000000,2020-05-28 17:31:53.000000,18,4.0,20.0,287.0,465.0,NLP library designed for reproducible experimentation management.,7.0,15,False,2020-05-28 19:00:02.000000,0.1.6,8.0,transfer-nlp,,,,['pytorch'],,,https://pypi.org/project/transfer-nlp,2020-05-28 19:00:02.000000,,174.0,174.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n832,data-describe,data-describe/data-describe,,data-viz,https://github.com/data-describe/data-describe,https://github.com/data-describe/data-describe,Apache-2.0,2020-05-04 17:58:14.000000,2021-07-02 20:30:09.000000,2021-03-02 19:30:45.000000,15,69.0,175.0,285.0,695.0,datadescribe: Pythonic EDA Accelerator for Data Science.,14.0,15,False,,,5.0,data-describe,,,,,,,https://pypi.org/project/data-describe,2020-12-03 23:07:43.000000,,207.0,207.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n833,interpret-text,interpretml/interpret-text,,interpretability,https://github.com/interpretml/interpret-text,https://github.com/interpretml/interpret-text,MIT,2019-09-04 16:39:48.000000,2021-08-12 03:06:16.000000,2021-03-02 02:33:00.000000,48,30.0,16.0,261.0,143.0,A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the..,17.0,15,False,2020-05-20 23:42:32.000000,0.1.2,3.0,interpret-text,,,,['jupyter'],,,https://pypi.org/project/interpret-text,2020-05-20 23:42:32.000000,,90.0,90.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n834,ExplainX.ai,explainX/explainx,,interpretability,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15.000000,2021-02-07 11:06:21.000000,2021-02-02 09:03:57.000000,36,10.0,17.0,217.0,184.0,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,4.0,15,False,2021-02-07 11:06:21.000000,2.407,56.0,explainx,,,,,,,https://pypi.org/project/explainx,2021-02-04 16:44:24.000000,,857.0,857.0,,,,,,,,3.0,2.0,,,,,,,,,,,,,,,,,,,,\n835,ONNX-T5,abelriboulot/onnxt5,,nlp,https://github.com/abelriboulot/onnxt5,https://github.com/abelriboulot/onnxt5,Apache-2.0,2020-08-01 09:38:35.000000,2021-01-28 09:26:15.000000,2021-01-28 09:24:52.000000,22,6.0,8.0,176.0,74.0,\"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..\",3.0,15,False,2021-01-28 09:26:15.000000,0.1.8,11.0,onnxt5,,,,,,,https://pypi.org/project/onnxt5,2021-01-28 09:26:15.000000,,926.0,926.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n836,ModelChimp,ModelChimp/modelchimp,,ml-experiments,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03.000000,2021-08-18 13:55:23.000000,2021-08-01 07:11:57.000000,12,4.0,10.0,121.0,363.0,Experiment tracking for machine and deep learning projects.,3.0,15,False,2019-04-09 10:43:15.000000,0.4.0,37.0,modelchimp,,modelchimp/modelchimp-server,,,,,https://pypi.org/project/modelchimp,2019-04-09 10:41:20.000000,,183.0,202.0,,,,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,639.0,3.0,,,,,,,,,,,,,,,,,,,,,\n837,GraphSAGE,williamleif/GraphSAGE,,graph,https://github.com/williamleif/GraphSAGE,https://github.com/williamleif/GraphSAGE,MIT,2017-05-29 15:36:22.000000,2021-08-11 18:48:51.000000,2018-09-19 19:27:00.000000,683,88.0,58.0,2438.0,59.0,Representation learning on large graphs using stochastic graph convolutions.,9.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n838,ZhuSuan,thu-ml/zhusuan,,probabilistics,https://github.com/thu-ml/zhusuan,https://github.com/thu-ml/zhusuan,MIT,2016-07-18 13:31:38.000000,2020-01-09 14:51:27.000000,2019-08-05 10:00:04.000000,394,8.0,53.0,2070.0,439.0,\"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.\",20.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n839,micrograd,karpathy/micrograd,,pytorch-utils,https://github.com/karpathy/micrograd,https://github.com/karpathy/micrograd,MIT,2020-04-13 04:31:18.000000,2021-06-24 12:28:13.000000,2020-04-18 19:15:25.000000,139,2.0,3.0,1778.0,24.0,A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.,2.0,14,False,2020-04-18 19:06:59.000000,0.1.0,1.0,micrograd,,,,['pytorch'],1.0,1.0,https://pypi.org/project/micrograd,2020-04-18 19:06:59.000000,0.0,36.0,36.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n840,AutoGL,THUMNLab/AutoGL,,graph,https://github.com/THUMNLab/AutoGL,https://github.com/THUMNLab/AutoGL,Apache-2.0,2020-11-30 14:26:22.000000,2021-08-17 09:47:13.000000,2021-08-12 08:32:06.000000,70,5.0,8.0,668.0,,An autoML framework & toolkit for machine learning on graphs.,9.0,14,True,2020-12-23 08:15:15.000000,0.1.1,2.0,auto-graph-learning,,,,['pytorch'],,,https://pypi.org/project/auto-graph-learning,2020-12-23 08:05:25.000000,,55.0,55.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n841,Anchor,marcotcr/anchor,,interpretability,https://github.com/marcotcr/anchor,https://github.com/marcotcr/anchor,BSD-2-Clause,2018-02-02 23:38:50.000000,2021-04-19 22:37:30.000000,2021-04-19 22:37:22.000000,86,18.0,48.0,661.0,42.0,Code for High-Precision Model-Agnostic Explanations paper.,8.0,14,True,,,8.0,anchor_exp,,,,,,,https://pypi.org/project/anchor_exp,2020-06-26 20:56:50.000000,,833.0,833.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n842,cuSignal,rapidsai/cusignal,,gpu-utilities,https://github.com/rapidsai/cusignal,https://github.com/rapidsai/cusignal,Apache-2.0,2019-08-22 14:27:27.000000,2021-08-18 13:16:59.000000,2021-08-18 13:16:59.000000,71,15.0,105.0,513.0,,GPU accelerated signal processing.,32.0,14,True,2021-08-04 14:38:39.000000,21.08.00,8.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n843,PandaPy,firmai/pandapy,,data-containers,https://github.com/firmai/pandapy,https://github.com/firmai/pandapy,MIT,2020-01-15 18:21:23.000000,2021-06-06 06:59:37.000000,2020-11-12 16:18:44.000000,50,2.0,1.0,479.0,83.0,PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai).,3.0,14,True,2020-11-12 16:12:54.000000,zen,22.0,pandapy,,,,['pandas'],1.0,1.0,https://pypi.org/project/pandapy,2020-01-25 23:10:32.000000,,139.0,139.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n844,Adversary,airbnb/artificial-adversary,,adversarial,https://github.com/airbnb/artificial-adversary,https://github.com/airbnb/artificial-adversary,MIT,2018-08-08 04:42:11.000000,2018-10-14 05:34:44.000000,2018-08-29 15:31:30.000000,51,6.0,,352.0,15.0,Tool to generate adversarial text examples and test machine learning models against them.,5.0,14,False,2018-08-29 15:14:41.000000,1.1.1,3.0,Adversary,,,,,6.0,6.0,https://pypi.org/project/Adversary,2018-08-29 15:14:41.000000,0.0,32.0,32.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n845,pykale,pykale/pykale,,others,https://github.com/pykale/pykale,https://github.com/pykale/pykale,MIT,2020-06-30 08:06:10.000000,2021-08-19 15:05:47.000000,2021-08-18 10:28:43.000000,23,5.0,37.0,263.0,,Knowledge-Aware machine LEarning (KALE) from multiple sources in Python.,13.0,14,False,2021-06-21 08:53:21.000000,0.1.0rc2,6.0,pykale,,,,['pytorch'],,,https://pypi.org/project/pykale,2021-06-21 08:54:23.000000,,105.0,105.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n846,backprop,backprop-ai/backprop,,model-serialisation,https://github.com/backprop-ai/backprop,https://github.com/backprop-ai/backprop,Apache-2.0,2020-10-30 15:25:14.000000,2021-05-03 09:15:25.000000,2021-05-03 09:15:21.000000,9,,4.0,199.0,,\"Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.\",8.0,14,False,2021-04-20 13:53:12.000000,0.1.2,14.0,backprop,,,,,,,https://pypi.org/project/backprop,2021-04-20 13:53:12.000000,,230.0,230.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n847,fastT5,Ki6an/fastT5,,nlp,https://github.com/Ki6an/fastT5,https://github.com/Ki6an/fastT5,Apache-2.0,2021-03-11 08:46:42.000000,2021-07-15 09:51:05.000000,2021-07-15 09:46:50.000000,17,9.0,10.0,198.0,11.0,boost inference speed of T5 models by 5x & reduce the model size by 3x.,2.0,14,False,2021-07-15 09:51:05.000000,0.0.6,6.0,fastt5,,,,,1.0,1.0,https://pypi.org/project/fastt5,2021-07-15 09:51:05.000000,,1270.0,1270.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n848,textvec,textvec/textvec,,nlp,https://github.com/textvec/textvec,https://github.com/textvec/textvec,MIT,2018-04-12 14:03:53.000000,2020-12-03 14:23:11.000000,2020-12-03 14:23:04.000000,21,2.0,6.0,174.0,70.0,Text vectorization tool to outperform TFIDF for classification tasks.,4.0,14,False,2019-09-12 07:41:04.000000,2.0,4.0,textvec,,,,['sklearn'],4.0,4.0,https://pypi.org/project/textvec,2020-12-03 14:17:09.000000,,109.0,109.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n849,Maze,enlite-ai/maze,,reinforcement-learning,https://github.com/enlite-ai/maze,https://github.com/enlite-ai/maze,Custom,2021-02-11 08:26:37.000000,2021-08-18 13:14:22.000000,2021-06-24 20:06:29.000000,3,,2.0,158.0,,Maze Applied Reinforcement Learning Framework.,3.0,14,False,2021-06-24 20:08:22.000000,0.1.7,18.0,maze-rl,,enliteai/maze,,['pytorch'],1.0,1.0,https://pypi.org/project/maze-rl,2021-06-24 20:28:17.000000,,152.0,189.0,,,,https://hub.docker.com/r/enliteai/maze,2021-06-24 21:00:27.801118,,227.0,3.0,,3.0,,,,,,,,,,,,,,,,,,,\n850,DeepNeuro,QTIM-Lab/DeepNeuro,,medical-data,https://github.com/QTIM-Lab/DeepNeuro,https://github.com/QTIM-Lab/DeepNeuro,MIT,2017-06-01 19:36:34.000000,2020-06-24 13:00:15.000000,2020-06-24 13:00:14.000000,33,27.0,16.0,106.0,285.0,A deep learning python package for neuroimaging data. Made by:.,6.0,14,False,2019-06-10 21:04:04.000000,0.2.3,6.0,deepneuro,,,,,1.0,1.0,https://pypi.org/project/deepneuro,2019-06-10 21:04:04.000000,,73.0,73.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n851,Hypermax,electricbrainio/hypermax,,hyperopt,https://github.com/electricbrainio/hypermax,https://github.com/electricbrainio/hypermax,BSD-3-Clause,2018-07-27 18:43:01.000000,2020-08-02 18:08:50.000000,2020-08-02 18:08:46.000000,14,3.0,1.0,97.0,207.0,\"Better, faster hyper-parameter optimization.\",9.0,14,False,2019-10-23 15:40:12.000000,0.5.1,11.0,hypermax,,,,,4.0,4.0,https://pypi.org/project/hypermax,2019-10-23 15:40:12.000000,,74.0,74.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n852,featurewiz,AutoViML/featurewiz,,hyperopt,https://github.com/AutoViML/featurewiz,https://github.com/AutoViML/featurewiz,Apache-2.0,2020-11-29 16:46:16.000000,2021-07-13 12:15:03.000000,2021-07-08 21:39:56.000000,21,3.0,1.0,72.0,,Use advanced feature engineering strategies and select the best features from your data set fast with a single line of..,2.0,14,False,2021-07-08 21:40:45.000000,0.0.42,42.0,featurewiz,,,,,,,https://pypi.org/project/featurewiz,2021-07-08 21:40:45.000000,,858.0,858.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n853,nptsne,biovault/nptsne,,data-viz,https://github.com/biovault/nptsne,https://github.com/biovault/nptsne,Apache-2.0,2019-06-28 08:40:25.000000,2021-08-16 16:13:49.000000,2021-02-03 08:52:27.000000,2,6.0,5.0,25.0,857.0,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,3.0,14,False,2020-09-10 23:54:14.000000,1.1.0,2.0,nptsne,,,,,3.0,3.0,https://pypi.org/project/nptsne,2020-09-10 23:54:14.000000,,145.0,145.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n854,StarSpace,facebookresearch/StarSpace,,ml-frameworks,https://github.com/facebookresearch/StarSpace,https://github.com/facebookresearch/StarSpace,MIT,2017-06-28 17:50:18.000000,2021-04-23 05:17:29.000000,2019-12-13 19:03:25.000000,494,50.0,148.0,3650.0,138.0,\"Learning embeddings for classification, retrieval and ranking.\",17.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n855,OpenKE,thunlp/OpenKE,,graph,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,MIT,2017-10-08 11:20:23.000000,2021-04-06 08:24:33.000000,2021-04-06 08:24:50.000000,810,71.0,231.0,2675.0,97.0,An Open-Source Package for Knowledge Embedding (KE).,10.0,13,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n856,ENAS,carpedm20/ENAS-pytorch,,hyperopt,https://github.com/carpedm20/ENAS-pytorch,https://github.com/carpedm20/ENAS-pytorch,Apache-2.0,2018-02-15 04:54:37.000000,2020-12-09 18:13:03.000000,2020-06-16 07:23:32.000000,452,37.0,7.0,2459.0,53.0,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,6.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n857,OpenNE,thunlp/OpenNE,,graph,https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20.000000,2021-03-22 13:16:57.000000,2019-08-12 10:56:27.000000,454,50.0,82.0,1484.0,98.0,An Open-Source Package for Network Embedding (NE).,10.0,13,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n858,surpriver,tradytics/surpriver,,financial-data,https://github.com/tradytics/surpriver,https://github.com/tradytics/surpriver,GPL-3.0,2020-08-30 07:56:22.000000,2021-08-13 08:02:31.000000,2020-09-21 04:32:05.000000,243,10.0,6.0,1280.0,64.0,Find big moving stocks before they move using machine learning and anomaly detection.,6.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n859,Medical Detection Toolkit,MIC-DKFZ/medicaldetectiontoolkit,,medical-data,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,Apache-2.0,2018-10-12 12:34:57.000000,2021-06-08 20:55:07.000000,2021-05-31 17:04:14.000000,261,37.0,85.0,1018.0,38.0,\"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..\",3.0,13,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n860,Torch-Struct,harvardnlp/pytorch-struct,,pytorch-utils,https://github.com/harvardnlp/pytorch-struct,https://github.com/harvardnlp/pytorch-struct,MIT,2019-08-26 19:34:30.000000,2021-05-09 17:27:03.000000,2021-05-09 17:25:02.000000,72,18.0,25.0,971.0,262.0,\"Fast, general, and tested differentiable structured prediction in PyTorch.\",13.0,13,True,2021-02-15 20:20:59.000000,0.5,2.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n861,BLINK,facebookresearch/BLINK,,nlp,https://github.com/facebookresearch/BLINK,https://github.com/facebookresearch/BLINK,MIT,2019-09-25 21:27:44.000000,2021-07-30 08:38:19.000000,2021-04-02 03:03:34.000000,116,35.0,28.0,701.0,211.0,Entity Linker solution.,16.0,13,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n862,deltapy,firmai/deltapy,,tabular,https://github.com/firmai/deltapy,https://github.com/firmai/deltapy,MIT,2020-04-08 05:27:53.000000,2021-01-21 16:27:58.000000,2021-01-21 16:27:57.000000,34,2.0,,367.0,37.0,DeltaPy - Tabular Data Augmentation (by @firmai).,4.0,13,True,2020-11-12 16:13:21.000000,zen,11.0,deltapy,,,,,2.0,2.0,https://pypi.org/project/deltapy,2020-04-09 01:48:32.000000,,94.0,94.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n863,tsaug,arundo/tsaug,,time-series-data,https://github.com/arundo/tsaug,https://github.com/arundo/tsaug,Apache-2.0,2019-09-27 00:38:05.000000,2020-04-17 02:55:58.000000,2020-04-17 02:46:38.000000,19,6.0,3.0,201.0,10.0,A Python package for time series augmentation.,4.0,13,False,2020-04-17 02:50:25.000000,0.2.1,4.0,tsaug,,,,,,,https://pypi.org/project/tsaug,2020-04-17 02:50:25.000000,,1065.0,1065.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n864,dstack,dstackai/dstack,,others,https://github.com/dstackai/dstack,https://github.com/dstackai/dstack,Apache-2.0,2020-06-22 09:03:03.000000,2021-03-23 15:50:23.000000,,11,21.0,,183.0,,An open-source tool to rapidly develop data applications with Python.,2.0,13,False,2021-03-04 19:20:57.000000,0.6.4,22.0,dstack,,,,,,,https://pypi.org/project/dstack,2021-03-23 15:46:40.000000,,319.0,319.0,,,,,,,,3.0,,-3.0,,,,,,,,,,,,,,,,,,,\n865,Auptimizer,LGE-ARC-AdvancedAI/auptimizer,,hyperopt,https://github.com/LGE-ARC-AdvancedAI/auptimizer,https://github.com/LGE-ARC-AdvancedAI/auptimizer,GPL-3.0,2019-09-12 01:08:37.000000,2021-05-21 14:45:19.000000,2021-03-03 01:30:06.000000,21,1.0,5.0,174.0,79.0,An automatic ML model optimization tool.,11.0,13,False,2021-03-03 02:00:23.000000,2.0,7.0,auptimizer,,,,,,,https://pypi.org/project/auptimizer,2021-03-02 02:40:32.000000,,115.0,115.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n866,numerizer,jaidevd/numerizer,,nlp,https://github.com/jaidevd/numerizer,https://github.com/jaidevd/numerizer,MIT,2019-12-02 07:00:34.000000,2021-04-04 05:05:33.000000,2021-04-03 04:27:49.000000,7,1.0,4.0,123.0,17.0,A Python module to convert natural language numerics into ints and floats.,2.0,13,False,2021-04-03 04:33:45.000000,0.2.0,8.0,numerizer,,,,,9.0,9.0,https://pypi.org/project/numerizer,2021-04-03 04:33:45.000000,,447.0,447.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n867,Attribution Priors,suinleelab/attributionpriors,,interpretability,https://github.com/suinleelab/attributionpriors,https://github.com/suinleelab/attributionpriors,MIT,2019-06-24 23:54:24.000000,2021-03-19 19:43:58.000000,2021-03-19 19:43:51.000000,7,1.0,3.0,84.0,72.0,Tools for training explainable models using attribution priors.,6.0,13,False,2021-03-16 17:47:18.000000,1.0.0,4.0,attributionpriors,,,,\"['tensorflow', 'pytorch']\",2.0,2.0,https://pypi.org/project/attributionpriors,2019-10-31 18:03:05.000000,,62.0,62.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n868,contextual-ai,SAP/contextual-ai,,interpretability,https://github.com/SAP/contextual-ai,https://github.com/SAP/contextual-ai,Apache-2.0,2020-05-12 07:15:56.000000,2021-03-25 23:48:34.000000,2021-01-25 04:03:23.000000,9,10.0,1.0,72.0,621.0,\"Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference -..\",10.0,13,False,2021-01-25 04:56:57.000000,0.0.2,2.0,contextual-ai,,,,,,,https://pypi.org/project/contextual-ai,2021-01-25 04:56:57.000000,,140.0,140.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n869,bias-detector,intuit/bias-detector,,interpretability,https://github.com/intuit/bias-detector,https://github.com/intuit/bias-detector,MIT,2021-02-02 16:58:52.000000,2021-06-01 09:13:29.000000,2021-06-01 09:12:00.000000,7,,,34.0,,Bias Detector is a python package for detecting bias in machine learning models.,4.0,13,False,2021-04-22 15:20:54.000000,0.0.12,11.0,bias-detector,,,,,,,https://pypi.org/project/bias-detector,2021-04-22 15:20:54.000000,,121.0,121.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n870,model_search,google/model_search,,hyperopt,https://github.com/google/model_search,https://github.com/google/model_search,Apache-2.0,2021-01-19 18:26:34.000000,2021-07-26 12:43:38.000000,2021-03-17 17:06:04.000000,301,34.0,13.0,3123.0,8.0,AutoML algorithms for model architecture search at scale.,1.0,12,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n871,MedicalNet,Tencent/MedicalNet,,medical-data,https://github.com/Tencent/MedicalNet,https://github.com/Tencent/MedicalNet,MIT,2019-07-17 09:53:10.000000,2020-08-27 13:37:27.000000,2020-08-27 13:37:26.000000,318,47.0,14.0,1173.0,26.0,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,1.0,12,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n872,GraphVite,DeepGraphLearning/graphvite,,graph,https://github.com/DeepGraphLearning/graphvite,https://github.com/DeepGraphLearning/graphvite,Apache-2.0,2019-07-16 15:48:20.000000,2021-01-14 02:19:03.000000,2021-01-14 02:18:46.000000,125,30.0,56.0,930.0,15.0,GraphVite: A General and High-performance Graph Embedding System.,1.0,12,True,,,4.0,,milagraph/graphvite,,,,,,,,,,160.0,https://anaconda.org/milagraph/graphvite,2020-03-19 18:21:30.972000,3847.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n873,autodist,petuum/autodist,,distributed-ml,https://github.com/petuum/autodist,https://github.com/petuum/autodist,Apache-2.0,2020-06-29 19:45:38.000000,2021-04-12 21:55:36.000000,2021-01-28 00:04:40.000000,20,11.0,1.0,104.0,208.0,Simple Distributed Deep Learning on TensorFlow.,11.0,12,False,,,2.0,autodist,,,,['tensorflow'],,,https://pypi.org/project/autodist,2020-07-16 05:36:19.000000,,42.0,42.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n874,nylon,Palashio/nylon,,others,https://github.com/Palashio/nylon,https://github.com/Palashio/nylon,MIT,2021-06-04 17:33:49.000000,2021-07-29 20:34:04.000000,2021-07-23 19:37:10.000000,10,14.0,18.0,70.0,,\"An intelligent, flexible grammar of machine learning.\",3.0,12,False,2021-06-25 14:27:32.000000,0.0.7,8.0,nylon-ai,,,,,,,https://pypi.org/project/nylon-ai,2021-06-25 14:27:32.000000,,120.0,120.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n875,LazyCluster,ml-tooling/lazycluster,,distributed-ml,https://github.com/ml-tooling/lazycluster,https://github.com/ml-tooling/lazycluster,Apache-2.0,2019-08-07 08:05:13.000000,2021-08-19 13:59:11.000000,2021-08-19 13:59:11.000000,7,,,43.0,,Distributed machine learning made simple.,2.0,12,False,2020-12-14 15:25:59.000000,0.2.4,5.0,lazycluster,,,,,7.0,7.0,https://pypi.org/project/lazycluster,2020-12-14 14:49:33.000000,,104.0,104.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n876,spacy-dbpedia-spotlight,MartinoMensio/spacy-dbpedia-spotlight,,nlp,https://github.com/MartinoMensio/spacy-dbpedia-spotlight,https://github.com/MartinoMensio/spacy-dbpedia-spotlight,MIT,2020-04-29 19:35:04.000000,2021-04-12 13:38:53.000000,2021-04-12 13:38:47.000000,5,6.0,,40.0,13.0,A spaCy wrapper for DBpedia Spotlight.,1.0,12,False,2021-04-12 13:25:07.000000,0.2.1,6.0,spacy-dbpedia-spotlight,,,,['spacy'],,,https://pypi.org/project/spacy-dbpedia-spotlight,2021-04-09 13:21:45.000000,,160.0,160.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n877,traingenerator,jrieke/traingenerator,,others,https://github.com/jrieke/traingenerator,https://github.com/jrieke/traingenerator,MIT,2020-12-03 16:47:16.000000,2021-06-28 17:42:41.000000,2021-04-29 13:46:13.000000,141,9.0,3.0,1063.0,,A web app to generate template code for machine learning.,3.0,11,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n878,Devol,joeddav/devol,,hyperopt,https://github.com/joeddav/devol,https://github.com/joeddav/devol,MIT,2017-02-10 03:07:54.000000,2020-07-05 21:56:59.000000,2020-07-05 21:56:58.000000,108,7.0,20.0,932.0,116.0,Genetic neural architecture search with Keras.,18.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n879,PySparNN,facebookresearch/pysparnn,,nn-search,https://github.com/facebookresearch/pysparnn,https://github.com/facebookresearch/pysparnn,BSD-3-Clause,2016-03-28 20:43:42.000000,2020-10-02 06:01:01.000000,2018-01-31 16:50:23.000000,144,15.0,14.0,881.0,147.0,Approximate Nearest Neighbor Search for Sparse Data in Python!.,5.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n880,Hypertunity,gdikov/hypertunity,,hyperopt,https://github.com/gdikov/hypertunity,https://github.com/gdikov/hypertunity,Apache-2.0,2019-06-02 12:04:55.000000,2020-01-26 23:14:49.000000,2020-01-26 22:53:29.000000,9,,2.0,121.0,64.0,A toolset for black-box hyperparameter optimisation.,2.0,11,False,2020-01-26 23:08:16.000000,1.0.1,7.0,hypertunity,,,,,2.0,2.0,https://pypi.org/project/hypertunity,2020-01-26 23:08:16.000000,,45.0,45.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n881,Mozart,aashrafh/Mozart,,ocr,https://github.com/aashrafh/Mozart,https://github.com/aashrafh/Mozart,Apache-2.0,2020-12-14 11:49:14.000000,2021-05-05 17:21:44.000000,2021-05-05 17:21:44.000000,43,1.0,4.0,287.0,,An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.,5.0,10,False,,,,,,,,['sklearn'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n882,traintool,jrieke/traintool,,ml-experiments,https://github.com/jrieke/traintool,https://github.com/jrieke/traintool,Apache-2.0,2020-09-30 22:23:05.000000,2021-03-12 01:44:04.000000,2021-03-12 01:43:14.000000,1,,,9.0,122.0,Train off-the-shelf machine learning models in one line of code.,,10,False,2020-11-02 02:25:32.000000,0.0.3,3.0,traintool,,,,\"['pytorch', 'tensorflow', 'sklearn']\",,,https://pypi.org/project/traintool,2020-11-02 02:25:32.000000,,53.0,53.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n883,Lea,,,probabilistics,,http://bitbucket.org/piedenis/lea,GPL-3.0,,2020-11-13 19:50:21.000000,,3,,,,,Discrete probability distributions in Python.,,10,False,2020-11-13 19:50:21.000000,3.4.0,50.0,lea,,,,,21.0,,https://pypi.org/project/lea,2020-11-13 19:50:21.000000,21.0,1884.0,1884.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,piedenis/lea\n"
  },
  {
    "path": "history/2021-08-26_changes.md",
    "content": "## 📈 Trending Up\n\n_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._\n\n- <b><a href=\"https://github.com/scikit-image/scikit-image\">scikit-image</a></b> (🥇34 ·  ⭐ 4.5K · 📈) - Image processing in Python. <code><a href=\"http://bit.ly/3rqEWVr\">BSD-2</a></code>\n- <b><a href=\"https://github.com/apache/airflow\">Airflow</a></b> (🥈33 ·  ⭐ 23K · 📈) - Platform to programmatically author, schedule, and monitor.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/fxsjy/jieba\">jieba</a></b> (🥇32 ·  ⭐ 27K · 💀) - Chinese Words Segmentation Utilities. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/aws/sagemaker-python-sdk\">SageMaker SDK</a></b> (🥇32 ·  ⭐ 1.5K · 📈) - A library for training and deploying machine learning.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1X\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/marcotcr/lime\">Lime</a></b> (🥇30 ·  ⭐ 9K · 📈) - Lime: Explaining the predictions of any machine learning classifier. <code><a href=\"http://bit.ly/3rqEWVr\">BSD-2</a></code>\n- <b><a href=\"https://github.com/robinhood/faust\">faust</a></b> (🥈30 ·  ⭐ 5.7K · 💤) - Python Stream Processing. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/jina-ai/jina\">Jina</a></b> (🥈29 ·  ⭐ 8.2K · 📈) - Cloud-native neural search framework for kind of data. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/holoviz/datashader\">datashader</a></b> (🥈29 ·  ⭐ 2.6K · 📈) - Quickly and accurately render even the largest data. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/combust/mleap\">mleap</a></b> (🥈29 ·  ⭐ 1.3K · 📈) - MLeap: Deploy ML Pipelines to Production. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/streamlit/streamlit\">Streamlit</a></b> (🥇28 ·  ⭐ 16K · 📈) - Streamlit The fastest way to build data apps in Python. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n\n## 📉 Trending Down\n\n_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._\n\n- <b><a href=\"https://github.com/sympy/sympy\">SymPy</a></b> (🥇36 ·  ⭐ 8.3K · 📉) - A computer algebra system written in pure Python. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/gunthercox/ChatterBot\">ChatterBot</a></b> (🥇31 ·  ⭐ 11K · 📉) - ChatterBot is a machine learning, conversational dialog engine.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/mozilla/DeepSpeech\">DeepSpeech</a></b> (🥈25 ·  ⭐ 18K · 📉) - DeepSpeech is an open source embedded (offline, on-.. <code><a href=\"http://bit.ly/3postzC\">MPL-2.0</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/miso-belica/sumy\">Sumy</a></b> (🥈25 ·  ⭐ 2.6K · 📉) - Module for automatic summarization of text documents and HTML pages. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/iskandr/fancyimpute\">fancyimpute</a></b> (🥈25 ·  ⭐ 990 · 📉) - Multivariate imputation and matrix completion.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/jfkirk/tensorrec\">tensorrec</a></b> (🥉21 ·  ⭐ 1.2K · 💀) - A TensorFlow recommendation algorithm and framework in.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/labmlai/labml\">Labml</a></b> (🥉21 ·  ⭐ 700 · 📉) - Monitor deep learning model training and hardware usage from your mobile.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/studioml/studio\">Studio.ml</a></b> (🥉21 ·  ⭐ 370 · 📉) - Studio: Simplify and expedite model building process. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/cuemacro/finmarketpy\">finmarketpy</a></b> (🥉20 ·  ⭐ 2.7K · 📉) - Python library for backtesting trading strategies &.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/IndicoDataSolutions/finetune\">finetune</a></b> (🥉19 ·  ⭐ 650 · 📉) - Scikit-learn style model finetuning for NLP. <code><a href=\"http://bit.ly/3postzC\">MPL-2.0</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n\n"
  },
  {
    "path": "history/2021-08-26_projects.csv",
    "content": ",name,github_id,resource,category,github_url,homepage,license,created_at,updated_at,last_commit_pushed_at,fork_count,open_issue_count,closed_issue_count,star_count,commit_count,description,contributor_count,projectrank,show,latest_stable_release_published_at,latest_stable_release_number,release_count,pypi_id,conda_id,dockerhub_id,docs_url,labels,dependent_project_count,github_dependent_project_count,pypi_url,pypi_latest_release_published_at,pypi_dependent_project_count,pypi_monthly_downloads,monthly_downloads,conda_url,conda_latest_release_published_at,conda_total_downloads,dockerhub_url,dockerhub_latest_release_published_at,dockerhub_stars,dockerhub_pulls,projectrank_placing,github_release_downloads,helm_id,npm_id,npm_url,npm_latest_release_published_at,npm_dependent_project_count,npm_monthly_downloads,trending,conda_dependent_project_count,brew_id,apt_id,yum_id,updated_github_id,snap_id,dnf_id,yay_id,maven_id,maven_url,maven_latest_release_published_at,maven_dependent_project_count,bitbucket_id\n0,ANN Benchmarks,erikbern/ann-benchmarks,True,nn-search,https://github.com/erikbern/ann-benchmarks,https://github.com/erikbern/ann-benchmarks,MIT,2015-05-28 13:21:43.000000,2021-08-25 08:13:02.000000,2021-08-09 09:52:28.000000,382,35.0,67.0,2445.0,1228.0,Benchmarks of approximate nearest neighbor libraries in Python.,59.0,0,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n1,best-of-web-python - Web Scraping,ml-tooling/best-of-web-python,True,web-scraping,https://github.com/ml-tooling/best-of-web-python,https://github.com/ml-tooling/best-of-web-python#web-scraping--crawling,CC-BY-SA-4.0,2021-01-05 13:09:27.000000,2021-08-26 14:18:36.000000,2021-07-16 21:43:54.000000,86,1.0,2.0,1310.0,,Collection of web-scraping and crawling libraries.,6.0,0,True,2021-07-16 21:44:03.000000,2021.07.15,21.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n2,best-of-python - Data Extraction,ml-tooling/best-of-python,True,data-loading,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-loading--extraction,CC-BY-SA-4.0,2021-01-11 19:11:32.000000,2021-08-26 15:01:16.000000,2021-07-16 21:43:31.000000,134,1.0,4.0,1726.0,,Collection of data-loading and -extraction libraries.,5.0,0,True,2021-07-16 21:43:43.000000,2021.07.15,22.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n3,best-of-python - DB Clients,ml-tooling/best-of-python,True,db-clients,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#database-clients,CC-BY-SA-4.0,2021-01-11 19:11:32.000000,2021-08-26 15:01:16.000000,2021-07-16 21:43:31.000000,134,1.0,4.0,1726.0,,Collection of database clients for python.,5.0,0,True,2021-07-16 21:43:43.000000,2021.07.15,22.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n4,Tensorflow,tensorflow/tensorflow,,ml-frameworks,https://github.com/tensorflow/tensorflow,https://github.com/tensorflow/tensorflow,Apache-2.0,2015-11-07 01:19:20.000000,2021-08-26 13:54:08.000000,2021-08-26 13:52:21.000000,85371,3458.0,29404.0,160583.0,116692.0,An Open Source Machine Learning Framework for Everyone.,3773.0,44,True,2021-08-12 16:04:34.000000,2.4.3,132.0,tensorflow,conda-forge/tensorflow,tensorflow/tensorflow,https://www.tensorflow.org/overview,['tensorflow'],177181.0,154657.0,https://pypi.org/project/tensorflow,2021-08-11 17:09:07.000000,22524.0,11234238.0,12120218.0,https://anaconda.org/conda-forge/tensorflow,2021-04-30 05:11:44.185000,2751853.0,https://hub.docker.com/r/tensorflow/tensorflow,2021-08-26 13:36:29.948036,1941.0,58211440.0,1.0,,,,,,,,,,,,,,,,,,,,,\n5,pandas,pandas-dev/pandas,,data-containers,https://github.com/pandas-dev/pandas,https://github.com/pandas-dev/pandas,BSD-3-Clause,2010-08-24 01:37:33.000000,2021-08-26 14:51:40.000000,2021-08-25 19:53:06.000000,12878,3567.0,17778.0,30834.0,27560.0,\"Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R..\",2760.0,43,True,2021-08-15 16:14:47.000000,1.3.2,96.0,pandas,conda-forge/pandas,,,['pandas'],592944.0,516160.0,https://pypi.org/project/pandas,2021-08-15 16:14:47.000000,76784.0,83093456.0,83392141.0,https://anaconda.org/conda-forge/pandas,2021-08-16 17:26:49.855000,18735538.0,,,,,1.0,117993.0,,,,,,,,,,,,,,,,,,,,\n6,Matplotlib,matplotlib/matplotlib,,data-viz,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,Python-2.0,2011-02-19 03:17:12.000000,2021-08-26 06:14:30.000000,2021-08-26 06:14:29.000000,5961,1662.0,6475.0,14104.0,40062.0,matplotlib: plotting with Python.,1268.0,42,True,2021-08-13 03:27:23.000000,3.4.3,70.0,matplotlib,conda-forge/matplotlib,,,,498541.0,419437.0,https://pypi.org/project/matplotlib,2021-08-24 07:59:49.000000,79104.0,29927122.0,30062391.0,https://anaconda.org/conda-forge/matplotlib,2021-08-17 03:07:59.440000,9604165.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n7,scipy,scipy/scipy,,others,https://github.com/scipy/scipy,https://github.com/scipy/scipy,BSD-3-Clause,2011-03-09 18:52:03.000000,2021-08-26 12:08:30.000000,2021-08-26 10:19:30.000000,3814,1763.0,6067.0,8514.0,26201.0,\"Ecosystem of open-source software for mathematics, science, and engineering.\",1155.0,42,True,2021-08-02 02:24:12.000000,1.7.1,67.0,scipy,conda-forge/scipy,,,,474884.0,388022.0,https://pypi.org/project/scipy,2021-08-02 00:14:42.000000,86862.0,30392684.0,30667248.0,https://anaconda.org/conda-forge/scipy,2021-08-19 22:46:14.714000,17017203.0,,,,,1.0,324871.0,,,,,,,,,,,,,,,,,,,,\n8,Pillow,python-pillow/Pillow,,image,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000000,2021-08-25 14:52:22.000000,2021-08-24 12:33:08.000000,1691,196.0,2113.0,8889.0,12087.0,The friendly PIL fork (Python Imaging Library).,370.0,40,True,2021-07-07 00:05:31.000000,8.3.1,82.0,Pillow,conda-forge/pillow,,,,650423.0,538997.0,https://pypi.org/project/Pillow,2021-07-06 23:56:58.000000,111426.0,32091731.0,32246780.0,https://anaconda.org/conda-forge/pillow,2021-08-06 18:57:18.687000,9923173.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n9,PyTorch,pytorch/pytorch,,ml-frameworks,https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41.000000,2021-08-26 14:03:11.000000,2021-08-26 13:59:46.000000,13701,9706.0,15228.0,50449.0,39614.0,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,2826.0,39,True,2021-08-17 18:33:00.000000,1.8.2,34.0,torch,pytorch/pytorch,,https://pytorch.org/docs/stable/index.html,['pytorch'],6682.0,,https://pypi.org/project/torch,2021-06-15 15:09:35.000000,6682.0,4893645.0,5171029.0,https://anaconda.org/pytorch/pytorch,2021-06-15 16:26:06.511000,12482314.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n10,Celery,celery/celery,,data-pipelines,https://github.com/celery/celery,https://github.com/celery/celery,BSD-3-Clause,2009-04-24 11:31:24.000000,2021-08-26 07:49:53.000000,2021-08-26 07:49:51.000000,4037,517.0,4058.0,17804.0,11686.0,Asynchronous task queue/job queue based on distributed message passing.,1141.0,39,True,2021-08-11 17:48:56.000000,5.2.0b1,180.0,celery,conda-forge/celery,,,,85486.0,57252.0,https://pypi.org/project/celery,2021-08-17 14:35:34.000000,28234.0,4795419.0,4804599.0,https://anaconda.org/conda-forge/celery,2021-06-29 08:06:51.307000,596718.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n11,scikit-learn,scikit-learn/scikit-learn,,ml-frameworks,https://github.com/scikit-learn/scikit-learn,https://github.com/scikit-learn/scikit-learn,BSD-3-Clause,2010-08-17 09:43:38.000000,2021-08-26 12:51:38.000000,2021-08-26 11:44:45.000000,21707,2368.0,7068.0,46935.0,,scikit-learn: machine learning in Python.,2323.0,38,True,2021-04-28 17:20:23.000000,0.24.2,54.0,scikit-learn,conda-forge/scikit-learn,,,['sklearn'],294609.0,256721.0,https://pypi.org/project/scikit-learn,2021-04-28 11:18:29.000000,37888.0,25442036.0,25587191.0,https://anaconda.org/conda-forge/scikit-learn,2021-08-08 17:42:51.112000,9144091.0,,,,,1.0,722.0,,,,,,,,,,,,,,,,,,,,\n12,numpy,numpy/numpy,,data-containers,https://github.com/numpy/numpy,https://github.com/numpy/numpy,BSD-3-Clause,2010-09-13 23:02:39.000000,2021-08-26 14:34:20.000000,2021-08-26 14:02:49.000000,5751,2341.0,7743.0,18052.0,,The fundamental package for scientific computing with Python.,1311.0,38,True,2021-08-15 20:24:41.000000,1.21.2,103.0,numpy,conda-forge/numpy,,,,975386.0,805664.0,https://pypi.org/project/numpy,2021-08-15 20:07:03.000000,169722.0,82885142.0,83250180.0,https://anaconda.org/conda-forge/numpy,2021-08-16 10:02:25.525000,22574732.0,,,,,1.0,382446.0,,,,,,,,,,,,,,,,,,,,\n13,Seaborn,mwaskom/seaborn,,data-viz,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000000,2021-08-23 00:11:56.000000,2021-08-22 14:06:17.000000,1468,94.0,1809.0,8695.0,2803.0,Statistical data visualization in Python.,156.0,38,True,2021-08-16 00:39:03.000000,0.11.2,25.0,seaborn,conda-forge/seaborn,,,,124683.0,111897.0,https://pypi.org/project/seaborn,2021-08-16 00:42:18.000000,12786.0,9115493.0,9160189.0,https://anaconda.org/conda-forge/seaborn,2021-08-16 06:42:17.619000,2681648.0,,,,,1.0,189.0,,,,,,,,,,,,,,,,,,,,\n14,transformers,huggingface/transformers,,nlp,https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000000,2021-08-26 14:02:16.000000,2021-08-26 13:09:57.000000,11783,420.0,7241.0,50389.0,7790.0,\"Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.\",968.0,37,True,2021-08-09 14:27:29.000000,4.9.2,65.0,transformers,conda-forge/transformers,,,\"['pytorch', 'tensorflow']\",15214.0,15086.0,https://pypi.org/project/transformers,2021-08-09 14:27:09.000000,128.0,3534793.0,3537691.0,https://anaconda.org/conda-forge/transformers,2021-08-09 19:24:47.825000,62847.0,,,,,1.0,1393.0,,,,,,,,,,,,,,,,,,,,\n15,PySpark,apache/spark,,ml-frameworks,https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08.000000,2021-08-26 13:34:52.000000,2021-08-26 12:36:04.000000,24097,235.0,,30644.0,31114.0,Apache Spark Python API.,2525.0,37,True,2021-05-27 17:18:30.000000,3.1.2,26.0,pyspark,conda-forge/pyspark,,,['spark'],760.0,,https://pypi.org/project/pyspark,2021-05-27 17:18:30.000000,760.0,13016733.0,13039688.0,https://anaconda.org/conda-forge/pyspark,2021-05-29 01:33:32.376000,1216620.0,,,,,1.0,,stable/spark,,,,,,,,,,,,,,,,,,,\n16,XGBoost,dmlc/xgboost,,ml-frameworks,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000000,2021-08-26 11:08:32.000000,2021-08-25 11:15:22.000000,7983,296.0,3860.0,21478.0,5439.0,\"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..\",535.0,37,True,2021-05-13 11:35:17.000000,1.4.2,57.0,xgboost,conda-forge/xgboost,,https://xgboost.readthedocs.io/en/latest/,,22255.0,20663.0,https://pypi.org/project/xgboost,2021-05-13 11:49:10.000000,1592.0,6730029.0,6765381.0,https://anaconda.org/conda-forge/xgboost,2021-08-09 14:06:55.576000,1871976.0,,,,,1.0,2928.0,,,,,,,,,,,,,,,,,,,,\n17,spaCy,explosion/spaCy,,nlp,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000000,2021-08-26 11:00:35.000000,2021-08-26 07:50:35.000000,3558,88.0,4739.0,21171.0,14783.0,Industrial-strength Natural Language Processing (NLP) in Python.,612.0,37,True,2021-08-20 13:13:45.000000,3.1.2,183.0,spacy,conda-forge/spacy,,,,31909.0,28843.0,https://pypi.org/project/spacy,2021-08-20 13:12:32.000000,3066.0,2699822.0,2741749.0,https://anaconda.org/conda-forge/spacy,2021-08-25 13:27:28.360000,2261267.0,,,,,1.0,3058.0,,,,,,,,,,,,,,,,,,,,\n18,Arrow,apache/arrow,,data-containers,https://github.com/apache/arrow,https://github.com/apache/arrow,Apache-2.0,2016-02-17 08:00:23.000000,2021-08-26 14:22:51.000000,2021-08-26 14:03:16.000000,1990,144.0,637.0,8295.0,9775.0,Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing.,724.0,37,True,2021-05-30 17:16:04.000000,4.0.1,33.0,pyarrow,conda-forge/arrow,,,,1037.0,51.0,https://pypi.org/project/pyarrow,2021-07-28 18:21:54.000000,986.0,31363700.0,31375299.0,https://anaconda.org/conda-forge/arrow,2021-06-24 17:36:08.348000,730797.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n19,Tensorboard,tensorflow/tensorboard,,ml-experiments,https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000000,2021-08-25 23:56:02.000000,2021-08-24 21:32:48.000000,1420,560.0,1014.0,5613.0,4741.0,TensorFlow's Visualization Toolkit.,266.0,37,True,2021-08-06 18:23:28.000000,2.6.0,38.0,tensorboard,conda-forge/tensorboard,,,['tensorflow'],79654.0,76040.0,https://pypi.org/project/tensorboard,2021-08-06 18:23:28.000000,3614.0,10154143.0,10206350.0,https://anaconda.org/conda-forge/tensorboard,2021-08-23 13:40:58.886000,2349346.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n20,OpenAI Gym,openai/gym,,reinforcement-learning,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16.000000,2021-08-26 14:39:35.000000,2021-08-25 22:02:55.000000,7150,152.0,1254.0,25070.0,1347.0,A toolkit for developing and comparing reinforcement learning algorithms.,311.0,36,True,2021-08-16 22:25:35.000000,0.19.0,94.0,gym,,,,,26084.0,22522.0,https://pypi.org/project/gym,2021-08-16 22:25:35.000000,3562.0,1715681.0,1715681.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n21,LightGBM,microsoft/LightGBM,,ml-frameworks,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000000,2021-08-26 03:14:33.000000,2021-08-25 23:22:23.000000,3325,118.0,2248.0,12883.0,2646.0,\"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..\",237.0,36,True,2021-04-12 23:03:24.000000,3.2.1,25.0,lightgbm,conda-forge/lightgbm,,,,9059.0,8503.0,https://pypi.org/project/lightgbm,2021-03-22 15:04:09.000000,556.0,9790969.0,9807346.0,https://anaconda.org/conda-forge/lightgbm,2021-04-20 13:04:15.819000,694738.0,,,,,1.0,114396.0,,,,,,,,,,,,,,,,,,,,\n22,gensim,RaRe-Technologies/gensim,,nlp,https://github.com/RaRe-Technologies/gensim,https://github.com/RaRe-Technologies/gensim,LGPL-2.1,2011-02-10 07:43:04.000000,2021-08-19 18:08:15.000000,2021-08-18 12:55:44.000000,4039,373.0,1332.0,12394.0,4234.0,Topic Modelling for Humans.,409.0,36,True,2021-04-01 14:19:26.000000,4.0.1,85.0,gensim,conda-forge/gensim,,,,30991.0,26249.0,https://pypi.org/project/gensim,2021-03-25 13:43:34.000000,4742.0,9382977.0,9398060.0,https://anaconda.org/conda-forge/gensim,2021-06-15 14:29:56.801000,706594.0,,,,,1.0,3500.0,,,,,,,,,,,,,,,,,,,,\n23,Plotly,plotly/plotly.py,,data-viz,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000000,2021-08-23 20:10:14.982000,2021-08-23 18:43:23.000000,1872,934.0,1128.0,10057.0,5223.0,The interactive graphing library for Python (includes Plotly Express).,181.0,36,True,2021-08-23 19:15:29.000000,5.2.2,272.0,plotly,conda-forge/plotly,,,,4991.0,5.0,https://pypi.org/project/plotly,2021-08-23 18:52:48.000000,4982.0,7395940.0,7469851.0,https://anaconda.org/conda-forge/plotly,2021-08-23 20:10:14.982000,1715696.0,,,,,1.0,,,plotlywidget,https://www.npmjs.com/package/plotlywidget,2021-01-12 16:09:46.133000,4.0,45317.0,,,,,,,,,,,,,,\n24,SymPy,sympy/sympy,,others,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000000,2021-08-26 15:08:02.000000,2021-08-26 15:08:01.000000,3425,4174.0,7484.0,8318.0,48214.0,A computer algebra system written in pure Python.,1087.0,36,True,2021-04-09 22:38:24.000000,sympy-1.8,37.0,sympy,conda-forge/sympy,,,,41153.0,34731.0,https://pypi.org/project/sympy,2021-04-09 22:41:01.000000,6422.0,2493028.0,2523384.0,https://anaconda.org/conda-forge/sympy,2021-04-10 01:00:41.286000,1633089.0,,,,,1.0,430190.0,,,,,,,-1.0,,,,,,,,,,,,,\n25,h5py,h5py/h5py,,data-containers,https://github.com/h5py/h5py,https://github.com/h5py/h5py,BSD-3-Clause,2012-09-21 00:40:02.000000,2021-08-25 14:00:43.000000,2021-08-23 08:28:17.000000,409,214.0,1016.0,1569.0,3718.0,HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.,168.0,36,True,2021-08-23 08:30:07.000000,3.4.0,29.0,h5py,conda-forge/h5py,,,,151885.0,128949.0,https://pypi.org/project/h5py,2021-08-23 09:06:42.000000,22936.0,9903943.0,9994964.0,https://anaconda.org/conda-forge/h5py,2021-08-19 04:46:16.991000,5914823.0,,,,,2.0,1303.0,,,,,,,,,,,,,,,,,,,,\n26,pytorch-lightning,PyTorchLightning/pytorch-lightning,,ml-frameworks,https://github.com/PyTorchLightning/pytorch-lightning,https://github.com/PyTorchLightning/pytorch-lightning,Apache-2.0,2019-03-31 00:45:57.000000,2021-08-26 14:04:18.000000,2021-08-26 12:13:31.000000,1804,355.0,3438.0,15124.0,5503.0,\"The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.\",523.0,35,True,2021-08-24 15:21:23.000000,1.4.4,185.0,pytorch-lightning,conda-forge/pytorch-lightning,,,['pytorch'],4319.0,4305.0,https://pypi.org/project/pytorch-lightning,2021-08-24 15:21:23.000000,14.0,731486.0,748803.0,https://anaconda.org/conda-forge/pytorch-lightning,2021-08-24 18:38:48.430000,240181.0,,,,,2.0,4074.0,,,,,,,,,,,,,,,,,,,,\n27,onnx,onnx/onnx,,model-serialisation,https://github.com/onnx/onnx,https://github.com/onnx/onnx,Apache-2.0,2017-09-07 04:53:45.000000,2021-08-26 11:48:14.000000,2021-08-25 16:25:46.000000,2064,489.0,1184.0,11279.0,1802.0,Open standard for machine learning interoperability.,209.0,35,True,2021-08-02 20:22:19.000000,1.10.1,23.0,onnx,conda-forge/onnx,,,,4220.0,3924.0,https://pypi.org/project/onnx,2021-08-02 20:16:08.000000,296.0,1833735.0,1840252.0,https://anaconda.org/conda-forge/onnx,2021-08-03 16:10:13.459000,277564.0,,,,,1.0,16080.0,,,,,,,,,,,,,,,,,,,,\n28,nltk,nltk/nltk,,nlp,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58.000000,2021-08-26 00:19:49.000000,2021-08-26 00:19:49.000000,2467,235.0,1300.0,10073.0,,Suite of libraries and programs for symbolic and statistical natural language processing for English.,399.0,35,True,2021-04-07 21:36:50.000000,3.6.1,41.0,nltk,conda-forge/nltk,,,,133105.0,112113.0,https://pypi.org/project/nltk,2021-04-07 21:36:50.000000,20992.0,11752361.0,11766473.0,https://anaconda.org/conda-forge/nltk,2021-04-20 15:34:03.018000,846737.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n29,torchvision,pytorch/vision,,image,https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000000,2021-08-26 14:00:18.000000,2021-08-26 12:58:09.000000,4959,521.0,1385.0,9689.0,1919.0,\"Datasets, Transforms and Models specific to Computer Vision.\",410.0,35,True,2021-06-15 16:00:00.000000,0.10.0,24.0,torchvision,conda-forge/torchvision,,,['pytorch'],4612.0,,https://pypi.org/project/torchvision,2021-06-15 16:00:00.000000,4612.0,1994618.0,1996892.0,https://anaconda.org/conda-forge/torchvision,2021-08-10 21:16:36.194000,100092.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n30,networkx,networkx/networkx,,graph,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44.000000,2021-08-26 13:39:52.000000,2021-08-23 23:43:28.000000,2372,299.0,2416.0,9554.0,,Network Analysis in Python.,538.0,35,True,2021-07-27 02:21:18.000000,2.6.2,58.0,networkx,conda-forge/networkx,,,,103760.0,82942.0,https://pypi.org/project/networkx,2021-07-27 02:21:18.000000,20818.0,13565601.0,13639153.0,https://anaconda.org/conda-forge/networkx,2021-07-27 05:26:42.933000,4266021.0,,,,,1.0,56.0,,,,,,,,,,,,,,,,,,,,\n31,joblib,joblib/joblib,,data-pipelines,https://github.com/joblib/joblib,https://github.com/joblib/joblib,BSD-3-Clause,2010-05-07 06:48:26.000000,2021-08-24 15:23:38.000000,2021-08-24 15:23:38.000000,297,291.0,365.0,2531.0,1376.0,Computing with Python functions.,103.0,35,True,2021-02-09 16:46:29.000000,1.0.1,100.0,joblib,conda-forge/joblib,,,,130783.0,124173.0,https://pypi.org/project/joblib,2021-02-09 16:46:29.000000,6610.0,28138426.0,28219527.0,https://anaconda.org/conda-forge/joblib,2021-02-09 19:26:28.194000,4947165.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n32,luigi,spotify/luigi,,data-pipelines,https://github.com/spotify/luigi,https://github.com/spotify/luigi,Apache-2.0,2012-09-20 15:06:38.000000,2021-08-26 00:15:28.000000,2021-08-26 00:15:27.000000,2266,87.0,848.0,14908.0,3997.0,\"Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution,..\",559.0,34,True,2021-04-17 01:06:10.000000,3.0.3,72.0,luigi,luigi,,,,2196.0,1520.0,https://pypi.org/project/luigi,2020-09-23 11:57:12.000000,676.0,785357.0,785475.0,https://anaconda.org/anaconda/luigi,2021-04-17 18:49:18.708000,7852.0,,,,,1.0,,stable/luigi,,,,,,,0.0,,,,,,,,,,,,\n33,shap,slundberg/shap,,interpretability,https://github.com/slundberg/shap,https://github.com/slundberg/shap,MIT,2016-11-22 19:17:08.000000,2021-08-26 07:40:54.000000,2021-08-24 23:42:52.000000,2023,1129.0,549.0,13807.0,1990.0,A game theoretic approach to explain the output of any machine learning model.,162.0,34,True,2021-03-03 18:38:33.000000,0.39.0,93.0,shap,conda-forge/shap,,,,3353.0,3217.0,https://pypi.org/project/shap,2021-01-15 21:02:34.000000,136.0,2978716.0,2995493.0,https://anaconda.org/conda-forge/shap,2021-04-29 12:11:05.706000,603995.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n34,Theano,Theano/Theano,,ml-frameworks,https://github.com/Theano/Theano,https://github.com/Theano/Theano,BSD-3-Clause,2011-08-10 03:48:06.000000,2021-06-05 14:19:15.755000,2021-04-13 19:05:58.000000,2508,677.0,2085.0,9457.0,28126.0,\"Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving..\",384.0,34,True,2020-07-27 16:13:54.000000,1.0.5,45.0,theano,conda-forge/theano,,,,16926.0,11452.0,https://pypi.org/project/theano,2020-07-27 16:13:54.000000,5474.0,238845.0,266159.0,https://anaconda.org/conda-forge/theano,2021-06-05 14:19:15.755000,1666190.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n35,pydeck,visgl/deck.gl,,geospatial-data,https://github.com/visgl/deck.gl,https://github.com/visgl/deck.gl,MIT,2015-12-15 08:38:29.000000,2021-08-26 03:28:02.000000,2021-08-26 00:24:09.000000,1591,94.0,2114.0,8935.0,3761.0,WebGL2 powered geospatial visualization layers.,169.0,34,True,2021-08-26 03:05:05.000000,8.5.5,487.0,pydeck,conda-forge/pydeck,,,['jupyter'],2256.0,1694.0,https://pypi.org/project/pydeck,2021-04-13 02:26:45.000000,2.0,441984.0,661200.0,https://anaconda.org/conda-forge/pydeck,2021-04-13 20:41:22.066000,47865.0,,,,,1.0,,,deck.gl,https://www.npmjs.com/package/deck.gl,2021-08-09 18:25:35.468000,560.0,216557.0,,,,,,,,,,,,,,\n36,dask,dask/dask,,distributed-ml,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000000,2021-08-26 14:53:20.000000,2021-08-25 23:27:58.000000,1330,778.0,3166.0,8698.0,,Parallel computing with task scheduling.,464.0,34,True,2021-08-20 20:54:47.000000,2021.8.1,126.0,dask,conda-forge/dask,,,,33815.0,29899.0,https://pypi.org/project/dask,2021-08-20 20:54:47.000000,3916.0,4925376.0,4987738.0,https://anaconda.org/conda-forge/dask,2021-08-21 07:44:40.815000,3928855.0,,,,,1.0,,stable/dask,,,,,,,,,,,,,,,,,,,\n37,rq,rq/rq,,data-pipelines,https://github.com/rq/rq,https://github.com/rq/rq,BSD-3-Clause,2011-11-14 10:53:48.000000,2021-08-26 12:16:56.000000,2021-08-26 12:16:52.000000,1237,158.0,742.0,7862.0,1602.0,Simple job queues for Python.,245.0,34,True,2021-06-30 07:22:37.000000,1.9.0,66.0,rq,conda-forge/rq,,,,11963.0,8639.0,https://pypi.org/project/rq,2021-06-30 07:21:51.000000,3324.0,469468.0,470437.0,https://anaconda.org/conda-forge/rq,2021-06-30 09:49:43.099000,59152.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n38,Beam,apache/beam,,data-pipelines,https://github.com/apache/beam,https://github.com/apache/beam,Apache-2.0,2016-02-02 08:00:06.000000,2021-08-26 14:29:04.000000,2021-08-26 06:01:33.000000,3154,176.0,,4961.0,32768.0,\"Unified programming model to define and execute data processing pipelines, including ETL, batch and stream processing.\",1116.0,34,True,2021-08-26 05:43:04.000000,2.32.0,39.0,apache-beam,,,,,186.0,,https://pypi.org/project/apache-beam,2021-08-26 05:43:04.000000,186.0,4293960.0,4293960.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n39,scikit-image,scikit-image/scikit-image,,image,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,BSD-2-Clause,2011-07-07 22:07:20.000000,2021-08-26 14:10:10.000000,2021-08-26 08:11:36.000000,1860,706.0,1570.0,4482.0,,Image processing in Python.,515.0,34,True,2021-08-24 18:20:04.000000,0.18.3,39.0,scikit-image,conda-forge/scikit-image,,,,92657.0,77883.0,https://pypi.org/project/scikit-image,2021-08-24 18:09:55.000000,14774.0,4072292.0,4116167.0,https://anaconda.org/conda-forge/scikit-image,2021-08-25 00:33:23.832000,2764184.0,,,,,1.0,,,,,,,,1.0,,,,,,,,,,,,,\n40,TF Addons,tensorflow/addons,,tensorflow-utils,https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17.000000,2021-08-25 18:43:57.000000,2021-08-25 18:43:57.000000,480,218.0,668.0,1360.0,1380.0,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,173.0,34,True,2021-08-19 12:57:05.000000,0.14.0,27.0,tensorflow-addons,,,,['tensorflow'],3972.0,3954.0,https://pypi.org/project/tensorflow-addons,2021-08-19 13:22:01.000000,18.0,8967272.0,8967272.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n41,Airflow,apache/airflow,,data-pipelines,https://github.com/apache/airflow,https://github.com/apache/airflow,Apache-2.0,2015-04-13 18:04:58.000000,2021-08-26 14:34:14.000000,2021-08-26 12:53:44.000000,9061,1003.0,3070.0,23182.0,,\"Platform to programmatically author, schedule, and monitor workflows.\",2002.0,33,True,2021-08-23 16:35:01.000000,2.1.3,84.0,apache-airflow,conda-forge/airflow,apache/airflow,,,294.0,,https://pypi.org/project/apache-airflow,2021-08-23 16:35:01.000000,294.0,3308783.0,3792976.0,https://anaconda.org/conda-forge/airflow,2021-07-16 19:58:00.135000,379979.0,https://hub.docker.com/r/apache/airflow,2021-08-23 18:57:46.470406,279.0,36053768.0,2.0,169352.0,stable/airflow,,,,,,1.0,,,,,,,,,,,,,\n42,MXNet,apache/incubator-mxnet,,ml-frameworks,https://github.com/apache/incubator-mxnet,https://github.com/apache/incubator-mxnet,Apache-2.0,2015-04-30 16:21:15.000000,2021-08-26 13:07:59.000000,2021-08-26 02:27:22.000000,6860,1922.0,7666.0,19620.0,11649.0,\"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..\",964.0,33,True,2021-03-21 14:56:00.000000,1.8.0,980.0,mxnet,mxnet,,,['mxnet'],444.0,,https://pypi.org/project/mxnet,2021-03-31 20:05:38.000000,444.0,374622.0,375150.0,https://anaconda.org/anaconda/mxnet,2020-02-29 00:58:31.007000,6450.0,,,,,2.0,24083.0,,,,,,,,0.0,,,,,,,,,,,,\n43,Bokeh,bokeh/bokeh,,data-viz,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000000,2021-08-26 11:11:57.000000,2021-08-26 09:30:46.000000,3768,688.0,5990.0,15424.0,,\"Interactive Data Visualization in the browser, from Python.\",566.0,33,True,2021-07-07 18:02:49.000000,2.3.3,101.0,bokeh,conda-forge/bokeh,,,,43818.0,37946.0,https://pypi.org/project/bokeh,2021-08-18 03:40:57.000000,5872.0,1692489.0,1792275.0,https://anaconda.org/conda-forge/bokeh,2021-08-20 00:39:31.537000,5188920.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n44,dash,plotly/dash,,data-viz,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000000,2021-08-26 14:20:25.000000,2021-08-26 14:20:20.000000,1516,458.0,599.0,15041.0,3772.0,\"Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.\",96.0,33,True,2021-07-13 16:17:17.000000,1.21.0,140.0,dash,conda-forge/dash,,,,1751.0,143.0,https://pypi.org/project/dash,2021-08-24 15:30:46.000000,1608.0,642661.0,649879.0,https://anaconda.org/conda-forge/dash,2021-07-25 05:00:57.468000,281532.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n45,tensor2tensor,tensorflow/tensor2tensor,,tensorflow-utils,https://github.com/tensorflow/tensor2tensor,https://github.com/tensorflow/tensor2tensor,Apache-2.0,2017-06-15 16:57:39.000000,2021-08-21 04:00:25.000000,2021-08-21 04:00:22.000000,2929,563.0,668.0,11506.0,4354.0,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,234.0,33,True,2020-06-17 16:15:36.000000,1.15.7,79.0,tensor2tensor,,,,['tensorflow'],1190.0,1026.0,https://pypi.org/project/tensor2tensor,2020-06-17 16:15:36.000000,164.0,1311259.0,1311259.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n46,dlib,davisking/dlib,,ml-frameworks,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000000,2021-08-19 12:02:10.000000,2021-08-19 12:02:10.000000,2958,48.0,1899.0,10494.0,7964.0,A toolkit for making real world machine learning and data analysis applications in C++.,167.0,33,False,2021-08-14 14:21:18.000000,19.22.1,29.0,dlib,conda-forge/dlib,,,,12576.0,11218.0,https://pypi.org/project/dlib,2021-08-14 14:21:18.000000,1358.0,107771.0,114031.0,https://anaconda.org/conda-forge/dlib,2021-04-03 09:47:47.788000,349713.0,,,,,2.0,24706.0,,,,,,,,,,,,,,,,,,,,\n47,mlflow,mlflow/mlflow,,ml-experiments,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000000,2021-08-26 12:52:53.000000,2021-08-26 08:34:17.000000,2228,870.0,1114.0,9984.0,2199.0,Open source platform for the machine learning lifecycle.,312.0,33,True,2021-08-26 08:01:47.000000,1.20.1,49.0,mlflow,conda-forge/mlflow,,,,154.0,,https://pypi.org/project/mlflow,2021-08-26 07:27:57.000000,154.0,11921427.0,11935062.0,https://anaconda.org/conda-forge/mlflow,2021-07-14 13:59:19.774000,381781.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n48,DVC,iterative/dvc,,ml-experiments,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000000,2021-08-26 11:54:43.000000,2021-08-25 19:15:22.000000,797,568.0,2597.0,8464.0,6776.0,Data Version Control | Git for Data & Models | ML Experiments Management.,236.0,33,True,2021-08-20 17:01:20.000000,2.6.4,333.0,dvc,conda-forge/dvc,,,,1512.0,1466.0,https://pypi.org/project/dvc,2021-08-20 17:03:06.000000,46.0,1205017.0,1241296.0,https://anaconda.org/conda-forge/dvc,2021-07-09 06:25:26.275000,840663.0,,,,,1.0,34494.0,,,,,,,,,dvc,dvc,dvc,,,,,,,,,\n49,geopy,geopy/geopy,,geospatial-data,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000000,2021-08-19 02:39:49.000000,2021-08-16 09:19:25.000000,549,23.0,226.0,3402.0,1065.0,Geocoding library for Python.,123.0,33,True,2021-07-11 12:18:10.000000,2.2.0,58.0,geopy,conda-forge/geopy,,,,32846.0,25602.0,https://pypi.org/project/geopy,2021-07-11 12:15:26.000000,7244.0,5164016.0,5173018.0,https://anaconda.org/conda-forge/geopy,2021-07-12 18:34:05.605000,585148.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n50,tensorflow-hub,tensorflow/hub,,tensorflow-utils,https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42.000000,2021-08-26 09:42:14.000000,2021-08-26 09:42:11.000000,1531,34.0,597.0,2920.0,963.0,A library for transfer learning by reusing parts of TensorFlow models.,76.0,33,True,2021-04-14 13:17:26.000000,0.12.0,15.0,tensorflow-hub,conda-forge/tensorflow-hub,,,['tensorflow'],8389.0,8075.0,https://pypi.org/project/tensorflow-hub,2021-04-14 12:54:13.000000,314.0,4909013.0,4910494.0,https://anaconda.org/conda-forge/tensorflow-hub,2021-04-18 18:01:14.779000,56287.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n51,Shapely,Toblerity/Shapely,,geospatial-data,https://github.com/Toblerity/Shapely,https://github.com/Toblerity/Shapely,BSD-3-Clause,2011-12-31 19:43:11.000000,2021-08-24 22:13:52.000000,2021-08-24 20:09:19.000000,419,149.0,629.0,2389.0,1532.0,Manipulation and analysis of geometric objects.,118.0,33,True,2020-12-15 18:27:01.000000,1.7.1,102.0,shapely,conda-forge/shapely,,,,26993.0,21535.0,https://pypi.org/project/shapely,2021-08-24 21:01:46.000000,5458.0,5457387.0,5494802.0,https://anaconda.org/conda-forge/shapely,2021-08-05 23:35:02.848000,2619097.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n52,jieba,fxsjy/jieba,,chinese-nlp,https://github.com/fxsjy/jieba,https://github.com/fxsjy/jieba,MIT,2012-09-29 07:52:01.000000,2021-07-25 14:17:48.000000,2020-02-15 08:33:35.000000,6293,617.0,206.0,26878.0,523.0,Chinese Words Segmentation Utilities.,48.0,32,False,2020-01-20 14:27:23.000000,0.42.1,32.0,jieba,conda-forge/jieba,,,,13551.0,11035.0,https://pypi.org/project/jieba,2020-01-20 14:27:23.000000,2516.0,460181.0,461898.0,https://anaconda.org/conda-forge/jieba,2021-05-30 19:33:02.597000,89335.0,,,,,1.0,,,,,,,,1.0,,,,,,,,,,,,,\n53,Fastai,fastai/fastai,,ml-frameworks,https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000000,2021-08-23 21:10:43.000000,2021-08-23 21:10:43.000000,7087,96.0,1412.0,21329.0,1810.0,The fastai deep learning library.,472.0,32,True,2021-08-11 05:11:59.000000,2.5.1,125.0,fastai,,,,['pytorch'],368.0,,https://pypi.org/project/fastai,2021-08-21 17:43:31.000000,368.0,305723.0,305723.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n54,Ray,ray-project/ray,,distributed-ml,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000000,2021-08-26 14:56:59.000000,2021-08-26 14:51:44.000000,2875,1806.0,5896.0,17032.0,9229.0,\"An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged..\",554.0,32,True,2021-08-23 20:22:41.000000,ray-1.6.0,53.0,ray,,,,,160.0,,https://pypi.org/project/ray,2021-08-23 20:14:00.000000,160.0,560664.0,560664.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n55,imgaug,aleju/imgaug,,image,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33.000000,2021-07-09 08:52:02.000000,2020-06-01 14:58:26.000000,2100,244.0,216.0,11668.0,2913.0,Image augmentation for machine learning experiments.,36.0,32,False,2020-02-06 06:18:40.000000,0.4.0,11.0,imgaug,conda-forge/imgaug,,,,7969.0,7413.0,https://pypi.org/project/imgaug,2020-02-05 20:54:22.000000,556.0,212366.0,214250.0,https://anaconda.org/conda-forge/imgaug,2020-02-14 16:06:53.525000,48985.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n56,flair,flairNLP/flair,,nlp,https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,MIT,2018-06-11 11:04:18.000000,2021-08-26 10:58:29.000000,2021-08-25 14:10:24.000000,1654,95.0,1532.0,10692.0,3600.0,A very simple framework for state-of-the-art Natural Language Processing (NLP).,205.0,32,True,2021-03-05 11:57:03.000000,0.8,21.0,flair,,,,['pytorch'],960.0,912.0,https://pypi.org/project/flair,2021-03-08 23:08:40.000000,48.0,73546.0,73546.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n57,AllenNLP,allenai/allennlp,,nlp,https://github.com/allenai/allennlp,https://github.com/allenai/allennlp,Apache-2.0,2017-05-15 15:52:41.000000,2021-08-26 11:56:31.000000,2021-08-25 02:20:11.000000,2106,94.0,2318.0,10417.0,2357.0,\"An open-source NLP research library, built on PyTorch.\",249.0,32,True,2021-07-19 23:03:10.000000,2.6.0,231.0,allennlp,,,,['pytorch'],2130.0,1896.0,https://pypi.org/project/allennlp,2021-08-26 11:56:31.000000,234.0,39772.0,39772.0,,,,,,,,1.0,43.0,,,,,,,,,,,,,,,,,,,,\n58,MoviePy,Zulko/moviepy,,image,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000000,2021-08-19 21:18:04.000000,2021-08-19 21:18:03.000000,1079,337.0,755.0,8379.0,1067.0,Video editing with Python.,143.0,32,True,2020-05-07 16:29:35.000000,1.0.3,84.0,moviepy,conda-forge/moviepy,,,,10702.0,9572.0,https://pypi.org/project/moviepy,2020-10-05 00:26:29.000000,1130.0,4289140.0,4290970.0,https://anaconda.org/conda-forge/moviepy,2020-02-23 19:57:49.975000,89711.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n59,pandas-profiling,pandas-profiling/pandas-profiling,,data-viz,https://github.com/pandas-profiling/pandas-profiling,https://github.com/pandas-profiling/pandas-profiling,MIT,2016-01-09 23:47:55.000000,2021-08-23 17:52:57.000000,2021-06-27 20:16:39.000000,1135,83.0,401.0,7829.0,852.0,Create HTML profiling reports from pandas DataFrame objects.,79.0,32,True,2021-05-11 22:24:40.000000,3.0.0,30.0,pandas-profiling,conda-forge/pandas-profiling,,,\"['jupyter', 'pandas']\",5178.0,5018.0,https://pypi.org/project/pandas-profiling,2021-05-11 22:24:40.000000,160.0,1404643.0,1407257.0,https://anaconda.org/conda-forge/pandas-profiling,2021-05-12 01:17:17.354000,156840.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n60,StatsModels,statsmodels/statsmodels,,ml-frameworks,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000000,2021-08-25 16:35:17.000000,2021-08-25 14:43:58.000000,2278,2137.0,2384.0,6561.0,,Statsmodels: statistical modeling and econometrics in Python.,328.0,32,True,2021-02-02 11:08:49.000000,0.12.2,25.0,statsmodels,conda-forge/statsmodels,,,,54940.0,48284.0,https://pypi.org/project/statsmodels,2021-02-02 11:08:49.000000,6656.0,5463709.0,5538098.0,https://anaconda.org/conda-forge/statsmodels,2021-02-15 17:38:00.380000,4612155.0,,,,,2.0,25.0,,,,,,,,,,,,,,,,,,,,\n61,Chainer,chainer/chainer,,ml-frameworks,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37.000000,2021-06-10 09:05:27.000000,2021-06-10 08:30:31.000000,1374,18.0,2026.0,5605.0,30595.0,A flexible framework of neural networks for deep learning.,318.0,32,True,2021-06-10 09:05:28.000000,7.8.0,110.0,chainer,,,,,3110.0,2368.0,https://pypi.org/project/chainer,2021-06-10 08:29:05.000000,742.0,26412.0,26412.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n62,folium,python-visualization/folium,,geospatial-data,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000000,2021-08-13 18:04:59.000000,2021-06-19 11:04:19.000000,1965,176.0,705.0,5377.0,1475.0,Python Data. Leaflet.js Maps.,122.0,32,True,2021-01-18 17:29:40.000000,0.12.1,25.0,folium,conda-forge/folium,,,,12460.0,11492.0,https://pypi.org/project/folium,2021-01-18 17:29:40.000000,968.0,654878.0,660920.0,https://anaconda.org/conda-forge/folium,2021-03-12 17:41:57.124000,392748.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n63,CuPy,cupy/cupy,,gpu-utilities,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000000,2021-08-26 07:41:49.153550,2021-08-26 04:56:10.000000,492,322.0,1146.0,5318.0,22743.0,NumPy & SciPy for GPU.,268.0,32,True,2021-08-26 07:39:16.000000,9.4.0,100.0,cupy,conda-forge/cupy,cupy/cupy,,,992.0,800.0,https://pypi.org/project/cupy,2021-08-26 02:27:02.000000,192.0,75070.0,114826.0,https://anaconda.org/conda-forge/cupy,2021-08-07 23:00:37.341000,847339.0,https://hub.docker.com/r/cupy/cupy,2021-08-26 07:41:49.153550,6.0,52206.0,1.0,17637.0,,,,,,,,,,,,,,,,,,,,\n64,Optuna,optuna/optuna,,hyperopt,https://github.com/optuna/optuna,https://github.com/optuna/optuna,MIT,2018-02-21 06:12:56.000000,2021-08-26 09:32:37.000000,2021-08-24 00:58:38.000000,549,109.0,775.0,5055.0,10408.0,A hyperparameter optimization framework.,146.0,32,True,2021-08-03 05:51:26.000000,2.9.1,40.0,optuna,conda-forge/optuna,,,,1833.0,1781.0,https://pypi.org/project/optuna,2021-08-03 05:51:26.000000,52.0,689375.0,691141.0,https://anaconda.org/conda-forge/optuna,2021-08-05 08:28:48.666000,37089.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n65,wandb client,wandb/client,,ml-experiments,https://github.com/wandb/client,https://github.com/wandb/client,MIT,2017-03-24 05:46:23.000000,2021-08-26 15:20:24.000000,2021-08-25 21:39:34.000000,241,380.0,909.0,3247.0,4145.0,A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.,90.0,32,True,2021-08-10 18:39:14.000000,0.12.0,207.0,wandb,,,,,4236.0,4158.0,https://pypi.org/project/wandb,2021-08-10 18:35:00.000000,78.0,453544.0,453544.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n66,Thinc,explosion/thinc,,ml-frameworks,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59.000000,2021-08-26 13:53:00.000000,2021-08-24 11:41:53.000000,211,17.0,94.0,2342.0,4954.0,\"A refreshing functional take on deep learning, compatible with your favorite libraries.\",40.0,32,True,2021-07-19 09:15:18.000000,8.0.8,194.0,thinc,conda-forge/thinc,,,,16575.0,15437.0,https://pypi.org/project/thinc,2021-07-19 09:10:52.000000,1138.0,2503808.0,2532899.0,https://anaconda.org/conda-forge/thinc,2021-07-19 14:12:53.809000,1570914.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n67,Rasterio,mapbox/rasterio,,geospatial-data,https://github.com/mapbox/rasterio,https://github.com/mapbox/rasterio,BSD-3-Clause,2013-11-04 16:36:27.000000,2021-08-23 15:07:25.000000,2021-08-18 16:43:28.000000,427,157.0,1284.0,1554.0,3382.0,Rasterio reads and writes geospatial raster datasets.,112.0,32,True,2021-06-23 00:38:10.000000,1.2.6,127.0,rasterio,conda-forge/rasterio,,,,4466.0,3616.0,https://pypi.org/project/rasterio,2021-06-23 00:38:10.000000,850.0,1009087.0,1027569.0,https://anaconda.org/conda-forge/rasterio,2021-06-24 09:36:51.700000,1200691.0,,,,,2.0,741.0,,,,,,,,,,,,,,,,,,,,\n68,SageMaker SDK,aws/sagemaker-python-sdk,,ml-experiments,https://github.com/aws/sagemaker-python-sdk,https://github.com/aws/sagemaker-python-sdk,Apache-2.0,2017-11-14 01:03:33.000000,2021-08-25 21:48:28.000000,2021-08-25 21:44:26.000000,660,252.0,615.0,1455.0,2150.0,A library for training and deploying machine learning models on Amazon SageMaker.,219.0,32,True,2021-08-25 06:26:56.000000,2.55.0,363.0,sagemaker,,,,\"['mxnet', 'tensorflow']\",859.0,831.0,https://pypi.org/project/sagemaker,2021-08-25 06:27:01.000000,28.0,956808.0,956808.0,,,,,,,,1.0,,,,,,,,1.0,,,,,,,,,,,,,\n69,dask.distributed,dask/distributed,,distributed-ml,https://github.com/dask/distributed,https://github.com/dask/distributed,BSD-3-Clause,2015-09-13 18:42:29.000000,2021-08-26 14:24:01.000000,2021-08-26 14:24:01.000000,545,907.0,1463.0,1230.0,,A distributed task scheduler for Dask.,249.0,32,True,2021-08-13 23:04:47.000000,2021.8.0,157.0,distributed,conda-forge/distributed,,,,21551.0,19773.0,https://pypi.org/project/distributed,2021-08-20 20:54:48.000000,1778.0,4208854.0,4288392.0,https://anaconda.org/conda-forge/distributed,2021-08-21 02:13:37.412000,5010955.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n70,imageio,imageio/imageio,,image,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000000,2021-08-09 19:36:12.000000,2021-08-09 19:36:12.000000,180,69.0,305.0,913.0,1271.0,Python library for reading and writing image data.,80.0,32,True,2020-07-10 07:45:22.000000,2.9.0,31.0,imageio,conda-forge/imageio,,,,50755.0,46917.0,https://pypi.org/project/imageio,2020-07-06 13:20:41.000000,3838.0,8532919.0,8572292.0,https://anaconda.org/conda-forge/imageio,2020-07-06 14:13:25.518000,2165564.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n71,pyproj,pyproj4/pyproj,,geospatial-data,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000000,2021-08-26 01:53:02.000000,2021-08-26 01:50:53.000000,157,10.0,425.0,647.0,1217.0,Python interface to PROJ (cartographic projections and coordinate transformations library).,42.0,32,True,2021-05-24 21:05:22.000000,3.1.0,35.0,pyproj,conda-forge/pyproj,,,,13318.0,10856.0,https://pypi.org/project/pyproj,2021-05-24 21:05:22.000000,2462.0,3415153.0,3450802.0,https://anaconda.org/conda-forge/pyproj,2021-08-12 17:50:10.549000,2424148.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n72,Keras,keras-team/keras,,ml-frameworks,https://github.com/keras-team/keras,https://github.com/keras-team/keras,Apache-2.0,2015-03-28 00:35:42.000000,2021-08-26 00:00:49.000000,2021-08-26 00:00:42.000000,18768,429.0,10362.0,52229.0,5874.0,Deep Learning for humans.,963.0,31,True,2021-08-09 17:27:44.000000,2.6.0,55.0,keras,conda-forge/keras,,https://keras.io,['tensorflow'],0.0,,https://pypi.org/project/keras,2021-08-09 17:06:05.000000,0.0,4486611.0,4516784.0,https://anaconda.org/conda-forge/keras,2021-04-19 19:56:38.549000,1810426.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n73,PaddlePaddle,PaddlePaddle/Paddle,,ml-frameworks,https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000000,2021-08-26 13:54:30.000000,2021-08-26 11:49:20.000000,3966,2922.0,11116.0,16336.0,15069.0,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,612.0,31,True,2021-08-11 08:08:12.000000,2.1.2,47.0,paddlepaddle,,,,['paddle'],84.0,68.0,https://pypi.org/project/paddlepaddle,2021-08-03 10:51:44.000000,16.0,34802.0,35057.0,,,,,,,,2.0,15305.0,,,,,,,,,,,,,,,,,,,,\n74,jax,google/jax,,ml-frameworks,https://github.com/google/jax,https://github.com/google/jax,Apache-2.0,2018-10-25 21:25:02.000000,2021-08-26 12:08:29.000000,2021-08-25 21:32:46.000000,1286,818.0,1808.0,13984.0,,\"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.\",321.0,31,True,2021-08-13 04:41:56.000000,0.2.19,98.0,jax,conda-forge/jaxlib,,,,2353.0,2307.0,https://pypi.org/project/jax,2021-08-13 04:41:56.000000,46.0,1595176.0,1602497.0,https://anaconda.org/conda-forge/jaxlib,2021-08-24 14:30:18.406000,183037.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n75,ChatterBot,gunthercox/ChatterBot,,nlp,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00.000000,2021-08-19 17:24:57.000000,2021-06-01 10:43:00.000000,3810,276.0,1240.0,11448.0,1848.0,\"ChatterBot is a machine learning, conversational dialog engine for creating chat bots.\",103.0,31,True,2020-08-22 18:42:43.000000,1.0.8,86.0,chatterbot,,,,,4436.0,3756.0,https://pypi.org/project/chatterbot,2020-08-22 18:40:36.000000,680.0,58630.0,58630.0,,,,,,,,1.0,,,,,,,,-1.0,,,,,,,,,,,,,\n76,Albumentations,albumentations-team/albumentations,,image,https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000000,2021-08-25 09:22:03.000000,2021-08-24 15:40:17.000000,1096,219.0,298.0,8632.0,660.0,Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation:..,87.0,31,True,2021-07-15 10:14:24.000000,1.0.3,48.0,albumentations,conda-forge/albumentations,,,['pytorch'],4974.0,4846.0,https://pypi.org/project/albumentations,2021-07-15 10:14:24.000000,128.0,202391.0,203305.0,https://anaconda.org/conda-forge/albumentations,2021-07-15 13:53:18.638000,23780.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n77,wordcloud,amueller/word_cloud,,data-viz,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59.000000,2021-07-27 04:30:36.000000,2021-03-01 23:14:14.000000,2079,100.0,353.0,8253.0,543.0,A little word cloud generator in Python.,61.0,31,True,2020-11-11 21:41:02.000000,1.8.1,16.0,wordcloud,conda-forge/wordcloud,,,,1104.0,,https://pypi.org/project/wordcloud,2020-11-11 21:41:02.000000,1104.0,606792.0,610687.0,https://anaconda.org/conda-forge/wordcloud,2021-01-14 18:03:24.960000,233716.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n78,Altair,altair-viz/altair,,data-viz,https://github.com/altair-viz/altair,https://github.com/altair-viz/altair,BSD-3-Clause,2015-09-19 03:14:04.000000,2021-08-18 16:13:39.000000,2021-08-18 16:13:39.000000,608,234.0,1328.0,6874.0,3070.0,Declarative statistical visualization library for Python.,130.0,31,True,2020-04-01 13:29:16.000000,4.1.0,26.0,altair,conda-forge/altair,,,,15239.0,14869.0,https://pypi.org/project/altair,2020-04-01 13:23:10.000000,370.0,2279506.0,2293574.0,https://anaconda.org/conda-forge/altair,2020-04-01 16:49:36.519000,858171.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n79,Prefect,PrefectHQ/prefect,,data-pipelines,https://github.com/PrefectHQ/prefect,https://github.com/PrefectHQ/prefect,Apache-2.0,2018-06-29 21:59:26.000000,2021-08-26 06:57:54.000000,2021-08-25 14:22:28.000000,642,374.0,1510.0,6732.0,14112.0,The easiest way to automate your data.,236.0,31,True,2021-08-17 23:04:00.000000,0.15.4,100.0,prefect,conda-forge/prefect,,,,411.0,409.0,https://pypi.org/project/prefect,2021-08-17 23:04:00.000000,2.0,163777.0,168618.0,https://anaconda.org/conda-forge/prefect,2021-08-21 18:05:15.247000,140406.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n80,Catboost,catboost/catboost,,ml-frameworks,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000000,2021-08-26 11:31:41.000000,2021-08-26 11:31:39.000000,909,311.0,1275.0,6016.0,17719.0,\"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..\",860.0,31,True,2021-08-05 15:47:36.000000,0.26.1,95.0,catboost,conda-forge/catboost,,,,162.0,,https://pypi.org/project/catboost,2021-08-05 15:34:18.000000,162.0,2555049.0,2576600.0,https://anaconda.org/conda-forge/catboost,2021-08-05 16:31:13.541000,789030.0,,,,,2.0,62076.0,,,,,,,,,,,,,,,,,,,,\n81,sentence-transformers,UKPLab/sentence-transformers,,nlp,https://github.com/UKPLab/sentence-transformers,https://github.com/UKPLab/sentence-transformers,Apache-2.0,2019-07-24 10:53:51.000000,2021-08-24 04:24:21.000000,2021-08-24 04:24:21.000000,1113,501.0,532.0,5884.0,957.0,Multilingual Sentence & Image Embeddings with BERT.,59.0,31,True,2021-06-24 16:16:11.000000,2.0.0,39.0,sentence-transformers,,,,['pytorch'],1464.0,1464.0,https://pypi.org/project/sentence-transformers,2021-06-24 15:02:44.000000,0.0,485844.0,485844.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n82,Hyperopt,hyperopt/hyperopt,,hyperopt,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59.000000,2021-08-02 12:12:55.000000,2021-08-02 12:12:55.000000,880,344.0,228.0,5813.0,1182.0,Distributed Asynchronous Hyperparameter Optimization in Python.,89.0,31,True,2020-10-07 09:52:56.000000,0.2.5,11.0,hyperopt,conda-forge/hyperopt,,,,4590.0,4086.0,https://pypi.org/project/hyperopt,2020-10-07 09:52:56.000000,504.0,1143499.0,1150765.0,https://anaconda.org/conda-forge/hyperopt,2020-10-14 07:57:14.292000,254340.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n83,Pydub,jiaaro/pydub,,audio,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38.000000,2021-08-26 14:25:37.000000,2021-06-08 14:06:40.000000,736,204.0,248.0,5546.0,742.0,Manipulate audio with a simple and easy high level interface.,90.0,31,True,2021-03-10 02:10:41.000000,0.25.1,68.0,pydub,conda-forge/pydub,,,,9777.0,8423.0,https://pypi.org/project/pydub,2021-03-10 02:09:53.000000,1354.0,1869489.0,1870030.0,https://anaconda.org/conda-forge/pydub,2021-03-13 05:16:50.142000,17320.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n84,imbalanced-learn,scikit-learn-contrib/imbalanced-learn,,sklearn-utils,https://github.com/scikit-learn-contrib/imbalanced-learn,https://github.com/scikit-learn-contrib/imbalanced-learn,MIT,2014-08-16 05:08:26.000000,2021-08-11 15:07:11.000000,2021-05-25 16:10:30.000000,1110,42.0,434.0,5415.0,740.0,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,58.0,31,True,2021-02-18 14:00:33.000000,0.8.0,27.0,imbalanced-learn,conda-forge/imbalanced-learn,,,['sklearn'],7124.0,6844.0,https://pypi.org/project/imbalanced-learn,2021-02-18 13:50:00.000000,280.0,1844905.0,1848195.0,https://anaconda.org/conda-forge/imbalanced-learn,2021-02-18 15:40:00.937000,151384.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n85,sentencepiece,google/sentencepiece,,nlp,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000000,2021-08-15 04:24:15.000000,2021-07-02 15:44:09.000000,705,32.0,434.0,5312.0,697.0,Unsupervised text tokenizer for Neural Network-based text generation.,57.0,31,True,2021-06-18 09:34:31.000000,0.1.96,31.0,sentencepiece,conda-forge/sentencepiece,,,,9772.0,9532.0,https://pypi.org/project/sentencepiece,2021-06-18 09:34:31.000000,240.0,3119744.0,3126789.0,https://anaconda.org/conda-forge/sentencepiece,2021-02-09 05:49:50.247000,85875.0,,,,,1.0,15862.0,,,,,,,,,,,,,,,,,,,,\n86,Dagster,dagster-io/dagster,,data-pipelines,https://github.com/dagster-io/dagster,https://github.com/dagster-io/dagster,Apache-2.0,2018-04-30 16:30:04.000000,2021-08-26 14:24:45.000000,2021-08-26 00:10:31.000000,434,687.0,2489.0,3696.0,8410.0,\"A data orchestrator for machine learning, analytics, and ETL.\",154.0,31,True,2021-08-20 14:25:52.000000,0.12.7,357.0,dagster,conda-forge/dagster,,,,219.0,215.0,https://pypi.org/project/dagster,2021-08-19 21:54:29.000000,4.0,168449.0,185312.0,https://anaconda.org/conda-forge/dagster,2021-08-24 17:34:33.326000,354127.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n87,MLxtend,rasbt/mlxtend,,sklearn-utils,https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16.000000,2021-07-19 12:30:10.000000,2021-07-19 12:30:10.000000,713,95.0,293.0,3611.0,1224.0,A library of extension and helper modules for Python's data analysis and machine learning libraries.,85.0,31,True,2020-11-26 04:18:15.000000,0.18.0,46.0,mlxtend,conda-forge/mlxtend,,,['sklearn'],4142.0,3952.0,https://pypi.org/project/mlxtend,2020-11-26 04:18:15.000000,190.0,1072185.0,1075839.0,https://anaconda.org/conda-forge/mlxtend,2020-11-26 05:32:00.667000,179055.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n88,dbt,fishtown-analytics/dbt,,data-pipelines,https://github.com/dbt-labs/dbt,https://github.com/dbt-labs/dbt,Apache-2.0,2016-03-10 02:38:00.000000,2021-08-26 14:59:59.000000,2021-08-26 14:37:50.000000,643,391.0,1761.0,3401.0,2481.0,dbt (data build tool) enables data analysts and engineers to transform their data using the same practices that..,165.0,31,True,2021-08-11 20:06:59.000000,0.20.1,162.0,dbt,conda-forge/dbt,,,,382.0,364.0,https://pypi.org/project/dbt,2021-08-19 23:25:41.000000,18.0,487047.0,490179.0,https://anaconda.org/conda-forge/dbt,2021-05-04 13:04:32.097000,178550.0,,,,,2.0,,,,,,,,,,dbt,,,dbt-labs/dbt,,,,,,,,\n89,GeoPandas,geopandas/geopandas,,geospatial-data,https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000000,2021-08-26 13:13:24.000000,2021-08-25 22:14:12.000000,604,338.0,769.0,2757.0,1434.0,Python tools for geographic data.,148.0,31,True,2021-02-28 21:10:46.000000,0.9.0,37.0,geopandas,conda-forge/geopandas,,,['pandas'],10915.0,9749.0,https://pypi.org/project/geopandas,2021-02-28 21:10:43.000000,1166.0,1439458.0,1456478.0,https://anaconda.org/conda-forge/geopandas,2021-06-09 14:45:13.341000,1105176.0,,,,,2.0,1114.0,,,,,,,,,,,,,,,,,,,,\n90,opencv-python,opencv/opencv-python,,image,https://github.com/opencv/opencv-python,https://github.com/opencv/opencv-python,MIT,2016-04-08 13:36:40.000000,2021-07-23 13:14:10.000000,2021-07-23 13:14:10.000000,411,30.0,426.0,2172.0,769.0,\"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..\",32.0,31,True,2021-07-09 10:29:36.000000,56,55.0,opencv-python,,,,,12560.0,,https://pypi.org/project/opencv-python,2021-07-11 05:16:04.000000,12560.0,5634436.0,5634436.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n91,numexpr,pydata/numexpr,,data-containers,https://github.com/pydata/numexpr,https://github.com/pydata/numexpr,MIT,2013-11-30 22:33:48.000000,2021-07-07 23:40:02.000000,2021-03-03 18:33:11.000000,169,55.0,252.0,1626.0,686.0,\"Fast numerical array expression evaluator for Python, NumPy, PyTables, pandas, bcolz and more.\",58.0,31,True,2021-03-03 18:13:19.000000,2.7.3,40.0,numexpr,conda-forge/numexpr,,,,5482.0,,https://pypi.org/project/numexpr,2021-03-03 18:13:19.000000,5482.0,1540972.0,1588969.0,https://anaconda.org/conda-forge/numexpr,2021-03-05 20:56:41.232000,2879828.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n92,Geocoder,DenisCarriere/geocoder,,geospatial-data,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21.000000,2021-08-10 15:25:56.000000,2018-10-12 15:53:05.000000,260,90.0,217.0,1377.0,1251.0,Python Geocoder.,74.0,31,False,2018-04-04 12:34:51.000000,1.38.1,108.0,geocoder,conda-forge/geocoder,,,,4600.0,3756.0,https://pypi.org/project/geocoder,2018-04-04 12:34:51.000000,844.0,2042993.0,2044693.0,https://anaconda.org/conda-forge/geocoder,2019-06-27 16:40:50.469000,91816.0,,,,,2.0,,,,,,,,,,,,,,geocoder,,,,,,,\n93,Wand,emcconville/wand,,image,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000000,2021-08-23 13:04:46.000000,2021-08-23 13:04:42.000000,187,18.0,345.0,1111.0,1728.0,The ctypes-based simple ImageMagick binding for Python.,96.0,31,True,2021-08-17 02:43:04.000000,0.6.7,49.0,wand,,,,,7308.0,6138.0,https://pypi.org/project/wand,2021-08-17 02:13:00.000000,1170.0,402107.0,402266.0,,,,,,,,2.0,5254.0,,,,,,,,,,,,,,,,,,,,\n94,Fiona,Toblerity/Fiona,,geospatial-data,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00.000000,2021-08-21 01:43:40.000000,2021-06-24 02:36:41.000000,175,80.0,566.0,828.0,1264.0,Fiona reads and writes geographic data files.,65.0,31,True,2021-05-31 23:04:33.000000,1.8.20,98.0,fiona,conda-forge/fiona,,,,7680.0,6492.0,https://pypi.org/project/fiona,2021-05-31 23:04:33.000000,1188.0,1794037.0,1827499.0,https://anaconda.org/conda-forge/fiona,2021-08-12 02:24:51.195000,2175036.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n95,fastText,facebookresearch/fastText,,nlp,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000000,2021-08-06 15:56:31.393000,2020-07-18 00:20:40.000000,4369,460.0,597.0,22878.0,379.0,Library for fast text representation and classification.,58.0,30,False,2020-04-28 09:54:50.000000,0.9.2,35.0,fasttext,conda-forge/fasttext,,,,2246.0,2056.0,https://pypi.org/project/fasttext,2020-04-28 09:54:50.000000,190.0,389783.0,390259.0,https://anaconda.org/conda-forge/fasttext,2021-08-06 15:56:31.393000,21904.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n96,PyFlink,apache/flink,,ml-frameworks,https://github.com/apache/flink,https://github.com/apache/flink,Apache-2.0,2014-06-07 07:00:10.000000,2021-08-26 13:11:10.000000,2021-08-26 13:11:10.000000,9254,573.0,,16969.0,28146.0,Apache Flink Python API.,1353.0,30,True,2021-08-02 04:01:31.000000,1.13.2,21.0,apache-flink,,,,,0.0,,https://pypi.org/project/apache-flink,2021-08-02 04:01:31.000000,0.0,14534.0,14534.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n97,fairseq,pytorch/fairseq,,nlp,https://github.com/pytorch/fairseq,https://github.com/pytorch/fairseq,MIT,2017-08-29 16:26:12.000000,2021-08-26 12:47:42.000000,2021-08-26 12:47:39.000000,3436,920.0,1972.0,13623.0,1995.0,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,346.0,30,True,2021-01-05 20:26:45.000000,0.10.2,13.0,fairseq,,,,['pytorch'],517.0,497.0,https://pypi.org/project/fairseq,2021-01-05 20:26:45.000000,20.0,33343.0,33346.0,,,,,,,,2.0,137.0,,,,,,,,,,,,,,,,,,,,\n98,PyTorch Image Models,rwightman/pytorch-image-models,,image,https://github.com/rwightman/pytorch-image-models,https://github.com/rwightman/pytorch-image-models,Apache-2.0,2019-02-02 05:51:12.000000,2021-08-25 16:48:54.000000,2021-08-19 21:26:23.000000,1888,43.0,327.0,12417.0,1040.0,\"PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision..\",53.0,30,True,2021-06-30 16:35:55.000000,0.4.12,25.0,,,,,['pytorch'],970.0,970.0,,,,,20521.0,,,,,,,,2.0,554089.0,,,,,,,,,,,,,,,,,,,,\n99,pyecharts,pyecharts/pyecharts,,data-viz,https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000000,2021-08-02 09:46:10.000000,2021-05-07 10:24:17.000000,2486,24.0,1439.0,11359.0,1515.0,Python Echarts Plotting Library.,30.0,30,True,2020-10-29 15:14:08.000000,1.9.0,66.0,pyecharts,,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,['jupyter'],2071.0,1789.0,https://pypi.org/project/pyecharts,2020-10-29 15:14:08.000000,282.0,37345.0,37345.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n100,Lime,marcotcr/lime,,interpretability,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10.000000,2021-07-29 23:17:25.000000,2021-07-29 23:17:25.000000,1470,17.0,522.0,9048.0,531.0,Lime: Explaining the predictions of any machine learning classifier.,61.0,30,True,2020-04-03 22:05:03.000000,0.2.0.0,38.0,lime,conda-forge/lime,,,,1590.0,1462.0,https://pypi.org/project/lime,2020-06-26 21:38:15.000000,128.0,463643.0,465070.0,https://anaconda.org/conda-forge/lime,2020-06-28 01:02:41.538000,79915.0,,,,,1.0,,,,,,,,1.0,,,,,,,,,,,,,\n101,Sonnet,deepmind/sonnet,,ml-frameworks,https://github.com/deepmind/sonnet,https://github.com/deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35.000000,2021-08-25 14:45:10.000000,2021-08-13 18:12:21.000000,1281,22.0,143.0,8962.0,545.0,TensorFlow-based neural network library.,52.0,30,True,2020-03-27 10:36:19.000000,2.0.0,27.0,dm-sonnet,conda-forge/sonnet,,,['tensorflow'],723.0,641.0,https://pypi.org/project/dm-sonnet,2020-03-27 10:36:10.000000,82.0,1311013.0,1311541.0,https://anaconda.org/conda-forge/sonnet,2020-11-14 18:13:23.843000,11100.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n102,Annoy,spotify/annoy,,nn-search,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40.000000,2021-08-17 09:37:15.000000,2021-08-17 09:37:15.000000,931,37.0,289.0,8886.0,826.0,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,71.0,30,True,2020-09-18 16:07:59.000000,1.17.0,43.0,annoy,,,,,2079.0,1719.0,https://pypi.org/project/annoy,2020-09-18 16:07:59.000000,360.0,688148.0,688148.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n103,fuzzywuzzy,seatgeek/fuzzywuzzy,,nlp,https://github.com/seatgeek/fuzzywuzzy,https://github.com/seatgeek/fuzzywuzzy,GPL-2.0,2011-07-08 19:32:34.000000,2021-05-25 22:02:00.000000,2021-02-20 06:36:20.000000,851,103.0,102.0,8442.0,381.0,Fuzzy String Matching in Python.,68.0,30,False,2020-02-13 22:14:12.000000,0.18.0,27.0,fuzzywuzzy,conda-forge/fuzzywuzzy,,,,12909.0,9703.0,https://pypi.org/project/fuzzywuzzy,2020-02-13 21:06:25.000000,3206.0,5320976.0,5326221.0,https://anaconda.org/conda-forge/fuzzywuzzy,2020-11-18 12:59:01.409000,319967.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n104,pretrainedmodels,Cadene/pretrained-models.pytorch,,pytorch-utils,https://github.com/Cadene/pretrained-models.pytorch,https://github.com/Cadene/pretrained-models.pytorch,BSD-3-Clause,2017-04-09 15:54:23.000000,2021-07-29 10:41:37.000000,2020-04-16 08:02:22.000000,1686,90.0,89.0,8147.0,154.0,\"Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.\",22.0,30,False,2018-10-29 08:18:45.000000,0.7.4,16.0,pretrainedmodels,,,,['pytorch'],1263.0,1159.0,https://pypi.org/project/pretrainedmodels,2018-10-29 08:18:45.000000,104.0,63971.0,63971.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n105,glfw,glfw/glfw,,image,https://github.com/glfw/glfw,https://github.com/glfw/glfw,Zlib,2013-04-18 15:24:53.000000,2021-08-26 14:18:36.000000,2021-08-26 14:03:58.000000,2922,466.0,1035.0,7996.0,4299.0,\"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.\",170.0,30,False,2021-04-08 17:55:06.000000,3.3.4,38.0,glfw,conda-forge/glfw,,,,214.0,,https://pypi.org/project/glfw,2021-02-28 20:43:49.000000,214.0,76408.0,109086.0,https://anaconda.org/conda-forge/glfw,2021-04-08 18:43:30.580000,36763.0,,,,,2.0,2421933.0,,,,,,,,,,,,,,,,,,,,\n106,TextBlob,sloria/TextBlob,,nlp,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18.000000,2021-08-21 11:51:22.000000,2021-05-10 13:15:20.000000,995,85.0,151.0,7805.0,535.0,\"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..\",34.0,30,True,2019-02-24 23:03:17.000000,0.15.3,55.0,textblob,conda-forge/textblob,,,,16680.0,14188.0,https://pypi.org/project/textblob,2019-02-24 23:03:17.000000,2492.0,637751.0,639939.0,https://anaconda.org/conda-forge/textblob,2019-02-24 23:32:55.233000,131291.0,,,,,2.0,94.0,,,,,,,,,,,,,,,,,,,,\n107,Vowpal Wabbit,VowpalWabbit/vowpal_wabbit,,ml-frameworks,https://github.com/VowpalWabbit/vowpal_wabbit,https://github.com/VowpalWabbit/vowpal_wabbit,BSD-3-Clause,2009-07-31 19:36:58.000000,2021-08-26 13:34:58.000000,2021-08-25 22:48:04.000000,1746,154.0,934.0,7668.0,9343.0,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,302.0,30,True,2021-07-14 18:02:58.000000,8.11.0,18.0,vowpalwabbit,,,,,180.0,164.0,https://pypi.org/project/vowpalwabbit,2021-07-14 18:02:58.000000,16.0,22836.0,22836.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n108,tensorboardX,lanpa/tensorboardX,,ml-experiments,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19.000000,2021-08-10 02:00:22.589000,2021-07-09 12:39:08.000000,825,66.0,361.0,7074.0,473.0,\"tensorboard for pytorch (and chainer, mxnet, numpy, ...).\",67.0,30,True,2021-07-09 12:36:58.000000,2.4,15.0,tensorboardX,conda-forge/tensorboardx,,,,15290.0,13956.0,https://pypi.org/project/tensorboardX,2021-06-30 12:49:17.000000,1334.0,1690316.0,1701165.0,https://anaconda.org/conda-forge/tensorboardx,2021-08-10 02:00:22.589000,466276.0,,,,,2.0,339.0,,,,,,,,,,,,,,,,,,,,\n109,SpeechRecognition,Uberi/speech_recognition,,audio,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54.000000,2021-07-07 12:44:37.000000,2019-07-02 17:29:47.000000,1966,229.0,277.0,5803.0,360.0,\"Speech recognition module for Python, supporting several engines and APIs, online and offline.\",41.0,30,False,2017-12-05 14:05:14.000000,3.8.1,52.0,SpeechRecognition,conda-forge/speechrecognition,,,,11113.0,10025.0,https://pypi.org/project/SpeechRecognition,2017-12-05 13:58:29.000000,1088.0,218798.0,220864.0,https://anaconda.org/conda-forge/speechrecognition,2021-01-11 17:26:33.040000,124006.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n110,faust,robinhood/faust,,data-pipelines,https://github.com/robinhood/faust,https://github.com/robinhood/faust,BSD-3-Clause,2017-03-08 18:36:11.000000,2021-06-24 17:38:27.000000,2020-10-09 12:59:42.000000,482,249.0,234.0,5728.0,4137.0,Python Stream Processing.,91.0,30,True,2020-02-25 22:57:18.000000,1.10.4,46.0,faust,,,,,861.0,833.0,https://pypi.org/project/faust,2020-02-25 22:57:18.000000,28.0,491021.0,491021.0,,,,,,,,2.0,,,,,,,,1.0,,,,,,,,,,,,,\n111,UMAP,lmcinnes/umap,,data-viz,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17.000000,2021-08-10 18:12:08.000000,2021-08-10 18:12:08.000000,537,268.0,270.0,4980.0,1466.0,Uniform Manifold Approximation and Projection.,90.0,30,True,2021-02-08 21:04:43.000000,0.5.1,35.0,umap-learn,,,,,3754.0,3528.0,https://pypi.org/project/umap-learn,2021-02-08 21:04:43.000000,226.0,680506.0,680506.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n112,GluonCV,dmlc/gluon-cv,,image,https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21.000000,2021-08-26 09:00:58.000000,2021-08-06 05:53:35.000000,1105,63.0,723.0,4882.0,885.0,Gluon CV Toolkit.,114.0,30,True,2021-07-25 02:48:59.000000,0.10.4,1202.0,gluoncv,,,,['mxnet'],591.0,561.0,https://pypi.org/project/gluoncv,2021-08-26 09:00:58.000000,30.0,655307.0,655307.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n113,PyCaret,pycaret/pycaret,,ml-experiments,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000000,2021-08-26 12:33:05.000000,2021-08-23 19:58:30.000000,874,154.0,845.0,3922.0,1883.0,\"An open-source, low-code machine learning library in Python.\",60.0,30,True,2021-07-25 13:16:53.000000,2.3.3,72.0,pycaret,,,,,1214.0,1214.0,https://pypi.org/project/pycaret,2021-07-25 13:16:53.000000,0.0,131001.0,131034.0,,,,,,,,2.0,440.0,,,,,,,,,,,,,,,,,,,,\n114,Tesseract,madmaze/pytesseract,,ocr,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000000,2021-08-23 20:05:40.000000,2021-08-23 20:05:37.000000,539,10.0,259.0,3754.0,413.0,Python-tesseract is an optical character recognition (OCR) tool for python.,38.0,30,True,2021-06-28 23:00:22.000000,0.3.8,25.0,pytesseract,conda-forge/pytesseract,,,,1428.0,,https://pypi.org/project/pytesseract,2021-06-28 23:00:22.000000,1428.0,1446298.0,1464974.0,https://anaconda.org/conda-forge/pytesseract,2021-06-05 17:42:22.118000,466903.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n115,TensorFlow Datasets,tensorflow/datasets,,tensorflow-utils,https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000000,2021-08-26 00:12:04.000000,2021-08-25 21:38:34.000000,1082,486.0,580.0,2953.0,4174.0,\"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...\",217.0,30,True,2021-07-28 12:29:08.000000,4.4.0,23.0,tensorflow-datasets,,,,['tensorflow'],102.0,,https://pypi.org/project/tensorflow-datasets,2021-07-28 12:24:01.000000,102.0,2337699.0,2337699.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n116,Koalas,databricks/koalas,,data-containers,https://github.com/databricks/koalas,https://github.com/databricks/koalas,Apache-2.0,2019-01-03 21:46:54.000000,2021-08-26 00:39:38.000000,2021-08-26 00:39:38.000000,317,121.0,481.0,2905.0,1543.0,Koalas: pandas API on Apache Spark.,51.0,30,True,2021-06-18 16:33:05.000000,1.8.1,46.0,koalas,conda-forge/koalas,,,\"['spark', 'pandas']\",110.0,108.0,https://pypi.org/project/koalas,2021-06-18 16:33:05.000000,2.0,3552310.0,3555978.0,https://anaconda.org/conda-forge/koalas,2021-06-18 20:03:35.848000,98124.0,,,,,2.0,998.0,,,,,,,,,,,,,,,,,,,,\n117,missingno,ResidentMario/missingno,,data-viz,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50.000000,2021-07-04 16:12:30.000000,2021-07-04 16:09:34.000000,371,9.0,101.0,2867.0,180.0,Missing data visualization module for Python.,17.0,30,True,2021-07-04 16:12:30.000000,0.5.0,24.0,missingno,conda-forge/missingno,,,,4828.0,4676.0,https://pypi.org/project/missingno,2021-07-04 16:12:30.000000,152.0,488995.0,491399.0,https://anaconda.org/conda-forge/missingno,2020-02-15 10:07:41.253000,117823.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n118,AzureML SDK,Azure/MachineLearningNotebooks,,ml-experiments,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000000,2021-08-25 22:37:50.000000,2021-08-20 16:21:08.000000,1816,166.0,989.0,2625.0,1150.0,Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft.,57.0,30,True,2021-08-02 16:37:56.000000,1.33.0,80.0,azureml-sdk,,,,,60.0,,https://pypi.org/project/azureml-sdk,2021-08-25 22:37:50.000000,60.0,784039.0,784051.0,,,,,,,,2.0,426.0,,,,,,,,,,,,,,,,,,,,\n119,PyQtGraph,pyqtgraph/pyqtgraph,,data-viz,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21.000000,2021-08-23 07:30:27.000000,2021-08-17 14:29:10.000000,859,285.0,621.0,2526.0,2981.0,Fast data visualization and GUI tools for scientific / engineering applications.,204.0,30,True,2021-07-08 07:34:18.000000,pyqtgraph-0.12.2,15.0,pyqtgraph,conda-forge/pyqtgraph,,,,890.0,,https://pypi.org/project/pyqtgraph,2021-07-08 08:19:30.000000,890.0,68682.0,72181.0,https://anaconda.org/conda-forge/pyqtgraph,2021-07-08 16:50:03.536000,192462.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n120,xarray,pydata/xarray,,data-containers,https://github.com/pydata/xarray,https://github.com/pydata/xarray,Apache-2.0,2013-09-30 17:21:10.000000,2021-08-26 13:26:10.000000,2021-08-25 21:08:01.000000,690,852.0,2133.0,2173.0,,N-D labeled arrays and datasets in Python.,329.0,30,True,2021-07-23 21:37:47.000000,0.19.0,60.0,xarray,conda-forge/xarray,,,,8442.0,7310.0,https://pypi.org/project/xarray,2021-07-23 21:37:47.000000,1132.0,835557.0,893454.0,https://anaconda.org/conda-forge/xarray,2021-07-26 15:07:14.617000,3763363.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n121,scikit-optimize,scikit-optimize/scikit-optimize,,hyperopt,https://github.com/scikit-optimize/scikit-optimize,https://github.com/scikit-optimize/scikit-optimize,BSD-3-Clause,2016-03-20 21:10:54.000000,2021-08-19 09:29:43.000000,2021-06-22 12:20:42.000000,396,205.0,373.0,2167.0,1562.0,Sequential model-based optimization with a `scipy.optimize` interface.,74.0,30,True,2020-09-04 09:08:10.000000,0.8.1,22.0,scikit-optimize,conda-forge/scikit-optimize,,,,2073.0,1913.0,https://pypi.org/project/scikit-optimize,2020-09-04 09:08:10.000000,160.0,985193.0,993036.0,https://anaconda.org/conda-forge/scikit-optimize,2020-09-04 09:50:52.372000,384333.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n122,Graphviz,xflr6/graphviz,,data-viz,https://github.com/xflr6/graphviz,https://github.com/xflr6/graphviz,MIT,2014-01-12 17:49:29.000000,2021-08-02 19:18:18.000000,2021-07-31 14:06:38.000000,151,9.0,104.0,1044.0,491.0,Simple Python interface for Graphviz.,15.0,30,True,2020-10-07 09:06:41.000000,0.14.2,48.0,graphviz,,,,,27556.0,23174.0,https://pypi.org/project/graphviz,2021-07-14 07:23:59.000000,4382.0,6590448.0,6590448.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n123,Bottleneck,pydata/bottleneck,,data-containers,https://github.com/pydata/bottleneck,https://github.com/pydata/bottleneck,BSD-2-Clause,2010-11-27 23:21:22.000000,2021-08-24 22:52:26.120000,2021-01-24 18:39:03.000000,73,33.0,177.0,633.0,1241.0,Fast NumPy array functions written in C.,21.0,30,True,2020-02-21 06:22:16.000000,1.3.2,21.0,Bottleneck,conda-forge/bottleneck,,,,28036.0,25144.0,https://pypi.org/project/Bottleneck,2020-02-21 06:22:16.000000,2892.0,664722.0,691037.0,https://anaconda.org/conda-forge/bottleneck,2021-08-24 22:52:26.120000,1657856.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n124,Face Recognition,ageitgey/face_recognition,,image,https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39.000000,2021-08-25 18:04:08.000000,2021-06-14 10:10:40.000000,11261,615.0,546.0,41189.0,219.0,The world's simplest facial recognition api for Python and the command line.,47.0,29,True,2018-08-21 18:34:21.000000,1.2.3,21.0,face_recognition,,,,['pytorch'],406.0,,https://pypi.org/project/face_recognition,2018-08-21 18:34:21.000000,406.0,47960.0,47968.0,,,,,,,,2.0,444.0,,,,,,,,,,,,,,,,,,,,\n125,detectron2,facebookresearch/detectron2,,image,https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000000,2021-08-26 04:51:14.000000,2021-08-26 04:51:12.000000,4578,112.0,2488.0,17730.0,1228.0,\"Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.\",175.0,29,True,2021-07-23 18:55:45.000000,0.5,9.0,,conda-forge/detectron2,,,['pytorch'],289.0,289.0,,,,,1916.0,https://anaconda.org/conda-forge/detectron2,2021-07-30 18:54:13.472000,28747.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n126,Faiss,facebookresearch/faiss,,nn-search,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000000,2021-08-25 13:37:37.000000,2021-08-25 13:37:33.000000,2267,177.0,1394.0,14432.0,560.0,A library for efficient similarity search and clustering of dense vectors.,87.0,29,True,2021-06-09 09:16:17.000000,1.1.2,53.0,pymilvus,conda-forge/faiss,,,,459.0,453.0,https://pypi.org/project/pymilvus,2021-08-11 10:58:45.000000,6.0,29030.0,39955.0,https://anaconda.org/conda-forge/faiss,2021-04-19 13:07:02.042000,163876.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n127,zipline,quantopian/zipline,,financial-data,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29.000000,2021-04-18 22:05:29.000000,2020-10-14 16:36:49.000000,4107,343.0,651.0,14330.0,6226.0,\"Zipline, a Pythonic Algorithmic Trading Library.\",152.0,29,True,2020-10-05 15:46:20.429000,1.4.1,30.0,zipline,,,,,918.0,760.0,https://pypi.org/project/zipline,2020-10-05 15:46:20.429000,158.0,4780.0,4780.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n128,Prophet,facebook/prophet,,time-series-data,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000000,2021-08-25 22:45:28.000000,2021-08-25 22:45:28.000000,3776,131.0,1544.0,13235.0,671.0,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,132.0,29,True,2021-04-02 23:45:16.000000,1.0,14.0,fbprophet,,,,,150.0,,https://pypi.org/project/fbprophet,2020-09-05 16:12:50.000000,150.0,1127729.0,1127740.0,,,,,,,,1.0,630.0,,,,,,,,,,,,,,,,,,,,\n129,EasyOCR,JaidedAI/EasyOCR,,ocr,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000000,2021-08-26 05:31:22.000000,2021-08-26 05:31:22.000000,1494,125.0,262.0,12376.0,442.0,\"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..\",85.0,29,True,2021-06-29 09:44:35.000000,1.4,24.0,easyocr,,,,,476.0,476.0,https://pypi.org/project/easyocr,2021-07-20 08:56:36.000000,0.0,44579.0,77575.0,,,,,,,,1.0,461951.0,,,,,,,,,,,,,,,,,,,,\n130,PyTorch Geometric,rusty1s/pytorch_geometric,,graph,https://github.com/rusty1s/pytorch_geometric,https://github.com/rusty1s/pytorch_geometric,MIT,2017-10-06 16:03:03.000000,2021-08-23 03:37:45.000000,2021-08-20 15:58:00.000000,2034,815.0,1313.0,11762.0,4916.0,Geometric Deep Learning Extension Library for PyTorch.,188.0,29,True,2021-06-26 08:51:08.000000,1.7.2,28.0,torch-geometric,,,,['pytorch'],24.0,,https://pypi.org/project/torch-geometric,2021-06-26 08:51:08.000000,24.0,39406.0,39406.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n131,horovod,horovod/horovod,,distributed-ml,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000000,2021-08-26 10:05:26.000000,2021-08-25 00:26:16.000000,1880,254.0,1606.0,11577.0,1027.0,\"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.\",127.0,29,True,2021-06-10 15:58:27.000000,0.22.1,66.0,horovod,,,,,456.0,416.0,https://pypi.org/project/horovod,2021-06-10 15:58:27.000000,40.0,44631.0,44631.0,,,,,,,,2.0,,stable/horovod,,,,,,,,,,,,,,,,,,,\n132,InsightFace,deepinsight/insightface,,image,https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,MIT,2017-09-01 00:36:51.000000,2021-08-26 13:31:37.000000,2021-08-26 13:31:37.000000,3333,888.0,778.0,9959.0,1770.0,State-of-the-art 2D and 3D Face Analysis Project.,26.0,29,True,2021-08-23 11:26:19.000000,0.4.1,19.0,insightface,,,,['mxnet'],94.0,92.0,https://pypi.org/project/insightface,2021-08-23 11:26:19.000000,2.0,17073.0,17073.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n133,TFlearn,tflearn/tflearn,,ml-frameworks,https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,MIT,2016-03-31 12:05:53.000000,2021-01-25 09:41:59.000000,2020-11-30 04:34:51.000000,2429,563.0,362.0,9560.0,613.0,Deep learning library featuring a higher-level API for TensorFlow.,128.0,29,True,2020-11-11 19:26:11.000000,0.5.0,8.0,tflearn,,,,['tensorflow'],4448.0,3486.0,https://pypi.org/project/tflearn,2020-11-11 19:13:47.000000,962.0,25571.0,25571.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n134,Dopamine,google/dopamine,,reinforcement-learning,https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36.000000,2021-08-26 13:44:51.000000,2021-08-26 13:44:50.000000,1265,77.0,79.0,9505.0,253.0,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,14.0,29,True,2021-06-29 21:40:57.000000,3.2.1,39.0,dopamine-rl,,,,['tensorflow'],62.0,,https://pypi.org/project/dopamine-rl,2021-06-29 21:40:57.000000,62.0,1421099.0,1421099.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n135,TPOT,EpistasisLab/tpot,,hyperopt,https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40.000000,2021-07-01 15:13:10.000000,2021-01-06 15:17:46.000000,1404,225.0,600.0,8196.0,2368.0,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,108.0,29,False,2021-01-06 15:20:08.000000,0.11.7,60.0,tpot,conda-forge/tpot,,,['sklearn'],1189.0,1109.0,https://pypi.org/project/tpot,2021-01-06 15:20:08.000000,80.0,21311.0,23494.0,https://anaconda.org/conda-forge/tpot,2021-03-05 04:04:38.005000,128823.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n136,Jina,jina-ai/jina,,ml-frameworks,https://github.com/jina-ai/jina,https://github.com/jina-ai/jina,Apache-2.0,2020-02-13 17:04:44.000000,2021-08-26 14:05:47.000000,2021-08-26 14:01:32.000000,1065,82.0,924.0,8157.0,6105.0,Cloud-native neural search framework for kind of data.,112.0,29,True,2021-08-22 12:35:26.000000,2.0.20,1099.0,jina,,jinaai/jina,,,130.0,130.0,https://pypi.org/project/jina,2021-08-26 13:34:27.000000,,15701.0,60732.0,,,,https://hub.docker.com/r/jinaai/jina,2021-08-26 13:53:33.989015,4.0,810562.0,2.0,,,,,,,,2.0,,,,,,,,,,,,,\n137,AutoKeras,keras-team/autokeras,,hyperopt,https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20.000000,2021-08-22 08:48:54.000000,2021-08-07 03:04:11.000000,1308,56.0,714.0,8102.0,1266.0,AutoML library for deep learning.,129.0,29,True,2021-08-16 19:51:18.000000,1.0.16,50.0,autokeras,,,,['tensorflow'],229.0,215.0,https://pypi.org/project/autokeras,2021-08-16 19:51:18.000000,14.0,13093.0,13106.0,,,,,,,,1.0,594.0,,,,,,,,,,,,,,,,,,,,\n138,dgl,dmlc/dgl,,graph,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000000,2021-08-26 06:31:30.000000,2021-08-25 09:59:17.000000,1666,268.0,918.0,7882.0,1918.0,\"Python package built to ease deep learning on graph, on top of existing DL frameworks.\",157.0,29,True,2021-07-22 02:01:12.000000,0.7.0,438.0,dgl,,,,,30.0,,https://pypi.org/project/dgl,2021-05-27 13:25:52.000000,30.0,71928.0,71928.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n139,Pyro,pyro-ppl/pyro,,probabilistics,https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000000,2021-08-24 21:33:36.000000,2021-08-20 22:20:47.000000,854,165.0,720.0,7067.0,2248.0,Deep universal probabilistic programming with Python and PyTorch.,112.0,29,True,2021-07-06 23:56:51.000000,1.7.0,27.0,pyro-ppl,,,,['pytorch'],553.0,517.0,https://pypi.org/project/pyro-ppl,2021-07-07 00:00:51.000000,36.0,62525.0,62525.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n140,Modin,modin-project/modin,,data-containers,https://github.com/modin-project/modin,https://github.com/modin-project/modin,Apache-2.0,2018-06-21 21:35:05.000000,2021-08-26 14:42:46.000000,2021-08-26 11:46:49.000000,450,621.0,1342.0,6365.0,1471.0,Modin: Speed up your Pandas workflows by changing a single line of code.,81.0,29,True,2021-08-21 01:31:35.000000,0.10.2,40.0,modin,,,,['pandas'],458.0,440.0,https://pypi.org/project/modin,2021-08-21 01:31:35.000000,18.0,125156.0,130443.0,,,,,,,,2.0,195644.0,,,,,,,,,,,,,,,,,,,,\n141,tensorpack,tensorpack/tensorpack,,ml-frameworks,https://github.com/tensorpack/tensorpack,https://github.com/tensorpack/tensorpack,Apache-2.0,2015-12-25 23:08:44.000000,2021-08-25 14:45:05.000000,2021-08-10 20:36:44.000000,1793,11.0,1327.0,6065.0,2935.0,\"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.\",57.0,29,True,2020-04-24 19:01:06.000000,0.10.1,37.0,tensorpack,,,,['tensorflow'],923.0,847.0,https://pypi.org/project/tensorpack,2021-01-22 08:44:03.000000,76.0,17446.0,17448.0,,,,,,,,2.0,125.0,,,,,,,,,,,,,,,,,,,,\n142,PyMC3,pymc-devs/pymc3,,probabilistics,https://github.com/pymc-devs/pymc3,https://github.com/pymc-devs/pymc3,Apache-2.0,2009-05-05 09:43:50.000000,2021-08-26 15:02:19.000000,2021-08-24 07:12:52.000000,1424,232.0,2143.0,5976.0,,Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara.,325.0,29,True,2021-08-24 01:17:21.000000,3.11.4,35.0,pymc3,conda-forge/pymc3,,,,3181.0,2895.0,https://pypi.org/project/pymc3,2021-08-24 01:17:21.000000,286.0,280568.0,285943.0,https://anaconda.org/conda-forge/pymc3,2021-08-24 08:21:10.198000,311689.0,,,,,1.0,171.0,,,,,,,,,,,,,,,,,,,,\n143,yfinance,ranaroussi/yfinance,,financial-data,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000000,2021-08-16 11:20:20.000000,2021-07-10 20:55:48.000000,1319,352.0,276.0,5582.0,,Yahoo! Finance market data downloader (+faster Pandas Datareader).,41.0,29,True,2021-07-10 20:28:59.000000,0.1.63,28.0,yfinance,ranaroussi/yfinance,,,,6474.0,6448.0,https://pypi.org/project/yfinance,2021-07-10 20:28:59.000000,26.0,284741.0,290996.0,https://anaconda.org/ranaroussi/yfinance,2021-07-10 20:29:09.532000,6255.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n144,Autograd,HIPS/autograd,,others,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23.000000,2021-04-22 18:19:00.000000,2021-03-03 09:27:58.000000,754,164.0,218.0,5381.0,1376.0,Efficiently computes derivatives of numpy code.,51.0,29,True,2017-08-24 17:00:41.000000,1.1.13,24.0,autograd,conda-forge/autograd,,,,2660.0,2316.0,https://pypi.org/project/autograd,2019-07-25 16:21:07.000000,344.0,1273272.0,1276336.0,https://anaconda.org/conda-forge/autograd,2019-07-25 18:29:55.493000,183897.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n145,Datasette,simonw/datasette,,others,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000000,2021-08-26 13:09:53.000000,2021-08-25 01:29:55.000000,321,280.0,844.0,5354.0,1747.0,An open source multi-tool for exploring and publishing data.,57.0,29,True,2021-07-16 19:59:42.000000,0.58.1,103.0,datasette,,,,,550.0,480.0,https://pypi.org/project/datasette,2021-08-09 01:21:38.000000,70.0,121008.0,121008.0,,,,,,,,1.0,32.0,,,,,,,,,datasette,,,,,,,,,,,\n146,Tokenizers,huggingface/tokenizers,,nlp,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000000,2021-08-24 09:31:21.000000,2021-08-13 14:53:39.000000,369,135.0,359.0,4764.0,1476.0,Fast State-of-the-Art Tokenizers optimized for Research and Production.,46.0,29,True,2021-05-24 21:47:49.000000,0.10.3,62.0,tokenizers,conda-forge/tokenizers,,,,36.0,36.0,https://pypi.org/project/tokenizers,2021-05-24 21:47:49.000000,0.0,3920576.0,3926625.0,https://anaconda.org/conda-forge/tokenizers,2021-03-10 20:31:28.913000,78646.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n147,TinyDB,msiemens/tinydb,,data-containers,https://github.com/msiemens/tinydb,https://github.com/msiemens/tinydb,MIT,2013-07-12 23:31:13.000000,2021-08-14 16:35:26.031000,2021-08-14 14:18:19.000000,406,13.0,258.0,4500.0,632.0,TinyDB is a lightweight document oriented database optimized for your happiness :).,68.0,29,True,2021-07-17 08:35:23.000000,4.5.1,61.0,tinydb,conda-forge/tinydb,,,,1118.0,,https://pypi.org/project/tinydb,2021-07-17 08:35:20.000000,1118.0,318762.0,320909.0,https://anaconda.org/conda-forge/tinydb,2021-08-14 16:35:26.031000,133171.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n148,Kornia,kornia/kornia,,image,https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000000,2021-08-25 17:22:31.000000,2021-08-25 17:22:30.000000,440,114.0,336.0,4441.0,1728.0,Open Source Differentiable Computer Vision Library for PyTorch.,121.0,29,True,2021-08-06 18:18:51.000000,0.5.8,21.0,kornia,,,,['pytorch'],574.0,574.0,https://pypi.org/project/kornia,2021-08-06 18:18:51.000000,0.0,186370.0,186372.0,,,,,,,,2.0,94.0,,,,,,,,,,,,,,,,,,,,\n149,kaggle,Kaggle/kaggle-api,,ml-experiments,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000000,2021-08-24 15:23:25.000000,2021-03-15 15:49:05.000000,826,177.0,130.0,4272.0,145.0,Official Kaggle API.,36.0,29,True,2021-03-13 00:50:03.000000,1.5.12,48.0,kaggle,conda-forge/kaggle,,,,6922.0,6358.0,https://pypi.org/project/kaggle,2021-03-13 00:50:03.000000,564.0,265536.0,268058.0,https://anaconda.org/conda-forge/kaggle,2021-03-16 16:09:03.613000,68103.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n150,Kedro,quantumblacklabs/kedro,,data-pipelines,https://github.com/quantumblacklabs/kedro,https://github.com/quantumblacklabs/kedro,Apache-2.0,2019-04-18 10:29:56.000000,2021-08-24 15:04:57.000000,2021-08-23 10:43:01.000000,481,38.0,487.0,4272.0,1283.0,\"A Python framework for creating reproducible, maintainable and modular data science code.\",114.0,29,True,2021-06-16 09:10:32.000000,0.17.4,28.0,kedro,,,,,553.0,537.0,https://pypi.org/project/kedro,2021-06-16 09:10:32.000000,16.0,207634.0,207634.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n151,tensorflow-probability,tensorflow/probability,,probabilistics,https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000000,2021-08-26 08:53:28.000000,2021-08-26 08:52:21.000000,905,480.0,610.0,3425.0,,Probabilistic reasoning and statistical analysis in TensorFlow.,423.0,29,True,2021-06-18 21:06:22.000000,0.13.0,38.0,tensorflow-probability,conda-forge/tensorflow-probability,,,['tensorflow'],252.0,,https://pypi.org/project/tensorflow-probability,2021-06-18 17:30:03.000000,252.0,3843636.0,3845032.0,https://anaconda.org/conda-forge/tensorflow-probability,2021-06-21 12:46:28.642000,41907.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n152,Dedupe,dedupeio/dedupe,,nlp,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36.000000,2021-08-24 01:47:06.000000,2021-08-23 22:35:07.000000,433,63.0,594.0,3130.0,2830.0,\"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.\",58.0,29,True,2021-04-17 00:35:34.000000,2.0.8,159.0,dedupe,,,,,274.0,196.0,https://pypi.org/project/dedupe,2021-04-17 00:35:34.000000,78.0,121298.0,121298.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n153,datashader,holoviz/datashader,,data-viz,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000000,2021-08-02 17:27:55.000000,2021-06-05 20:55:59.000000,328,123.0,351.0,2582.0,1295.0,Quickly and accurately render even the largest data.,43.0,29,True,2021-06-09 23:30:20.000000,0.13.0,24.0,datashader,conda-forge/datashader,,,,853.0,783.0,https://pypi.org/project/datashader,2021-06-09 22:59:52.000000,70.0,96895.0,101625.0,https://anaconda.org/conda-forge/datashader,2021-06-10 09:04:19.929000,212861.0,,,,,2.0,,,,,,,,1.0,,,,,,,,,,,,,\n154,mrjob,Yelp/mrjob,,data-pipelines,https://github.com/Yelp/mrjob,https://github.com/Yelp/mrjob,Apache-2.0,2010-10-13 18:35:21.000000,2021-03-31 18:37:58.000000,2020-11-16 22:20:52.000000,590,202.0,1091.0,2557.0,8622.0,Run MapReduce jobs on Hadoop or Amazon Web Services.,142.0,29,True,2020-09-17 22:26:01.000000,0.7.4,60.0,mrjob,conda-forge/mrjob,,,,933.0,821.0,https://pypi.org/project/mrjob,2020-09-17 22:26:01.000000,112.0,119988.0,126582.0,https://anaconda.org/conda-forge/mrjob,2020-12-24 22:44:29.424000,389055.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n155,GPyTorch,cornellius-gp/gpytorch,,probabilistics,https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000000,2021-08-25 15:59:15.000000,2021-08-23 20:46:50.000000,356,215.0,740.0,2483.0,3480.0,A highly efficient and modular implementation of Gaussian Processes in PyTorch.,85.0,29,True,2021-06-24 16:29:38.000000,1.5.0,29.0,gpytorch,,,,['pytorch'],372.0,364.0,https://pypi.org/project/gpytorch,2021-06-24 16:29:38.000000,8.0,81342.0,81342.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n156,Keras Tuner,keras-team/keras-tuner,,hyperopt,https://github.com/keras-team/keras-tuner,https://github.com/keras-team/keras-tuner,Apache-2.0,2019-06-06 22:38:21.000000,2021-08-26 08:32:02.000000,2021-08-24 07:43:13.000000,297,165.0,186.0,2364.0,837.0,Hyperparameter tuning for humans.,36.0,29,True,2021-08-25 22:23:36.000000,1.0.4,9.0,keras-tuner,,,,['tensorflow'],811.0,807.0,https://pypi.org/project/keras-tuner,2021-08-25 22:23:36.000000,4.0,1940394.0,1940394.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n157,hmmlearn,hmmlearn/hmmlearn,,probabilistics,https://github.com/hmmlearn/hmmlearn,https://github.com/hmmlearn/hmmlearn,BSD-3-Clause,2014-03-23 10:33:09.000000,2021-08-26 14:36:33.000000,2021-08-26 14:36:23.000000,665,56.0,302.0,2328.0,372.0,\"Hidden Markov Models in Python, with scikit-learn like API.\",34.0,29,True,2021-07-18 14:01:41.000000,0.2.6,8.0,hmmlearn,conda-forge/hmmlearn,,,['sklearn'],1260.0,1054.0,https://pypi.org/project/hmmlearn,2021-07-18 14:01:41.000000,206.0,110031.0,112931.0,https://anaconda.org/conda-forge/hmmlearn,2021-07-18 15:46:16.643000,95711.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n158,Cufflinks,santosjorge/cufflinks,,data-viz,https://github.com/santosjorge/cufflinks,https://github.com/santosjorge/cufflinks,MIT,2014-11-19 20:59:33.000000,2021-08-24 17:17:58.000000,2021-02-25 05:05:09.000000,543,81.0,123.0,2288.0,452.0,Productivity Tools for Plotly + Pandas.,38.0,29,True,2020-03-01 17:42:01.000000,0.17.3,27.0,cufflinks,,,,['pandas'],4328.0,4094.0,https://pypi.org/project/cufflinks,2020-03-01 17:42:01.000000,234.0,210700.0,210700.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n159,ImageHash,JohannesBuchner/imagehash,,image,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48.000000,2021-08-12 15:01:12.000000,2021-07-15 22:40:35.000000,274,13.0,89.0,2068.0,205.0,A Python Perceptual Image Hashing Module.,18.0,29,True,2021-07-15 12:35:01.000000,4.2.1,18.0,ImageHash,conda-forge/imagehash,,,,3727.0,3195.0,https://pypi.org/project/ImageHash,2021-07-15 12:35:01.000000,532.0,968974.0,971511.0,https://anaconda.org/conda-forge/imagehash,2021-07-15 15:00:27.543000,144643.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n160,HoloViews,holoviz/holoviews,,data-viz,https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000000,2021-08-23 15:37:08.000000,2021-08-23 15:10:00.000000,324,781.0,1876.0,1973.0,10231.0,\"With Holoviews, your data visualizes itself.\",113.0,29,True,2021-07-19 16:43:02.000000,1.14.5,72.0,holoviews,conda-forge/holoviews,,,['jupyter'],170.0,,https://pypi.org/project/holoviews,2021-07-16 20:49:11.000000,170.0,191042.0,204469.0,https://anaconda.org/conda-forge/holoviews,2021-07-19 14:01:41.535000,555392.0,,,,,2.0,,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,2020-05-24 13:49:54.205000,,4612.0,,,,,,,,,,,,,,\n161,filterpy,rlabbe/filterpy,,probabilistics,https://github.com/rlabbe/filterpy,https://github.com/rlabbe/filterpy,MIT,2014-07-15 02:15:19.000000,2021-07-25 19:21:03.000000,2021-05-04 18:33:52.000000,438,35.0,152.0,1920.0,542.0,\"Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman..\",36.0,29,True,2018-10-10 22:38:24.000000,1.4.5,48.0,filterpy,conda-forge/filterpy,,,,1206.0,994.0,https://pypi.org/project/filterpy,2018-10-10 22:38:24.000000,212.0,620691.0,622014.0,https://anaconda.org/conda-forge/filterpy,2020-05-05 21:13:59.073000,66184.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n162,Lifelines,CamDavidsonPilon/lifelines,,medical-data,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42.000000,2021-08-18 14:24:42.000000,2021-08-18 14:24:38.000000,429,204.0,605.0,1682.0,2139.0,Survival analysis in Python.,98.0,29,True,2021-05-27 00:34:08.000000,0.26.0,157.0,lifelines,conda-forge/lifelines,,,,765.0,639.0,https://pypi.org/project/lifelines,2021-05-27 00:34:08.000000,126.0,261027.0,263661.0,https://anaconda.org/conda-forge/lifelines,2021-05-27 04:55:00.431000,163332.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n163,pyLDAvis,bmabey/pyLDAvis,,interpretability,https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03.000000,2021-06-24 14:14:46.000000,2021-03-24 13:03:31.000000,312,80.0,77.0,1500.0,240.0,Python library for interactive topic model visualization. Port of the R LDAvis package.,32.0,29,True,2021-03-24 13:05:21.000000,3.3.1,24.0,pyldavis,conda-forge/pyldavis,,,['jupyter'],2701.0,2503.0,https://pypi.org/project/pyldavis,2021-03-24 12:57:08.000000,198.0,278254.0,278982.0,https://anaconda.org/conda-forge/pyldavis,2021-03-24 15:17:07.309000,27693.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n164,mleap,combust/mleap,,data-pipelines,https://github.com/combust/mleap,https://github.com/combust/mleap,Apache-2.0,2016-08-23 03:51:03.000000,2021-08-25 21:53:13.000000,2021-08-02 19:38:30.000000,278,86.0,343.0,1282.0,859.0,MLeap: Deploy ML Pipelines to Production.,69.0,29,True,2021-05-07 20:42:11.000000,0.17.0,6.0,mleap,conda-forge/mleap,,,,191.0,159.0,https://pypi.org/project/mleap,2021-05-07 20:42:11.000000,32.0,454721.0,456056.0,https://anaconda.org/conda-forge/mleap,2021-05-10 09:48:39.778000,37405.0,,,,,2.0,,,,,,,,1.0,,,,,,,,,,,,,\n165,ipyleaflet,jupyter-widgets/ipyleaflet,,geospatial-data,https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10.000000,2021-08-13 05:56:07.000000,2021-08-06 15:22:17.000000,303,170.0,270.0,1169.0,946.0,A Jupyter - Leaflet.js bridge.,68.0,29,True,2021-07-21 12:23:32.000000,0.14.0,71.0,ipyleaflet,conda-forge/ipyleaflet,,,['jupyter'],1154.0,1054.0,https://pypi.org/project/ipyleaflet,2021-06-17 16:00:18.000000,98.0,54163.0,89864.0,https://anaconda.org/conda-forge/ipyleaflet,2021-06-17 16:32:56.948000,738807.0,,,,,3.0,,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2021-06-17 15:58:50.351000,2.0,23974.0,,,,,,,,,,,,,,\n166,PyTables,PyTables/PyTables,,data-containers,https://github.com/PyTables/PyTables,https://github.com/PyTables/PyTables,BSD-3-Clause,2011-06-03 19:44:46.000000,2021-07-19 13:56:32.000000,2021-07-19 13:56:32.000000,204,168.0,452.0,1053.0,3956.0,A Python package to manage extremely large amounts of data.,98.0,29,True,2019-10-30 19:33:37.000000,3.6.1,25.0,tables,conda-forge/pytables,,,,3754.0,,https://pypi.org/project/tables,2019-10-30 19:33:37.000000,3754.0,842512.0,892180.0,https://anaconda.org/conda-forge/pytables,2021-01-14 18:41:06.536000,2980000.0,,,,,2.0,160.0,,,,,,,,,,,,,,,,,,,,\n167,Keras-Preprocessing,keras-team/keras-preprocessing,,tensorflow-utils,https://github.com/keras-team/keras-preprocessing,https://github.com/keras-team/keras-preprocessing,MIT,2018-05-30 22:43:36.000000,2021-07-02 00:20:02.000000,2021-02-04 19:43:30.000000,420,93.0,100.0,978.0,284.0,\"Utilities for working with image data, text data, and sequence data.\",50.0,29,True,2020-05-14 03:53:47.000000,1.1.2,12.0,keras-preprocessing,conda-forge/keras-preprocessing,,,['tensorflow'],2736.0,,https://pypi.org/project/keras-preprocessing,2020-05-14 03:53:47.000000,2736.0,6587871.0,6616005.0,https://anaconda.org/conda-forge/keras-preprocessing,2021-01-15 12:28:58.923000,1069111.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n168,TensorFlow Transform,tensorflow/transform,,tensorflow-utils,https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53.000000,2021-08-25 20:04:37.000000,2021-08-25 19:04:16.000000,173,19.0,146.0,882.0,685.0,Input pipeline framework.,27.0,29,True,2021-08-25 19:47:44.000000,1.3.0,42.0,tensorflow-transform,,,,['tensorflow'],608.0,524.0,https://pypi.org/project/tensorflow-transform,2021-08-25 20:04:37.000000,84.0,9614422.0,9614422.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n169,patsy,pydata/patsy,,probabilistics,https://github.com/pydata/patsy,https://github.com/pydata/patsy,BSD-2-Clause,2012-07-10 12:30:06.000000,2021-07-30 13:55:44.000000,2018-10-31 21:55:48.000000,85,78.0,53.0,786.0,517.0,Describing statistical models in Python using symbolic formulas.,13.0,29,False,2018-10-28 05:07:55.000000,0.5.1,8.0,patsy,conda-forge/patsy,,,,44284.0,39360.0,https://pypi.org/project/patsy,2018-10-28 03:59:51.000000,4924.0,3633226.0,3689932.0,https://anaconda.org/conda-forge/patsy,2018-10-28 05:21:35.412000,3402389.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n170,NIPYPE,nipy/nipype,,medical-data,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000000,2021-08-21 09:53:26.000000,2021-07-23 19:46:50.000000,466,346.0,887.0,584.0,14196.0,Workflows and interfaces for neuroimaging packages.,219.0,29,True,2020-11-28 17:23:30.000000,1.6.0,55.0,nipype,conda-forge/nipype,,,,893.0,701.0,https://pypi.org/project/nipype,2021-06-16 13:18:05.000000,192.0,50957.0,58105.0,https://anaconda.org/conda-forge/nipype,2021-07-13 18:06:39.806000,436028.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n171,snowballstemmer,snowballstem/snowball,,nlp,https://github.com/snowballstem/snowball,https://github.com/snowballstem/snowball,BSD-3-Clause,2013-02-23 07:17:42.000000,2021-08-25 05:30:59.000000,2021-08-25 04:43:53.000000,142,19.0,43.0,515.0,861.0,Snowball compiler and stemming algorithms.,27.0,29,True,2021-01-21 11:43:00.000000,2.1.0,9.0,snowballstemmer,conda-forge/snowballstemmer,,,,13186.0,4.0,https://pypi.org/project/snowballstemmer,2021-01-21 11:43:00.000000,13182.0,5261147.0,5310519.0,https://anaconda.org/conda-forge/snowballstemmer,2021-01-21 23:16:54.597000,2962325.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n172,NiBabel,nipy/nibabel,,medical-data,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30.000000,2021-08-22 06:14:15.000000,2021-08-09 23:42:13.000000,214,112.0,303.0,432.0,5044.0,Python package to access a cacophony of neuro-imaging file formats.,93.0,29,True,2020-11-28 22:19:50.000000,3.2.1,32.0,nibabel,conda-forge/nibabel,,,,6390.0,5126.0,https://pypi.org/project/nibabel,2020-11-28 22:18:23.000000,1264.0,205537.0,211429.0,https://anaconda.org/conda-forge/nibabel,2020-11-29 03:40:05.178000,371246.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n173,Streamlit,streamlit/streamlit,,others,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000000,2021-08-26 07:30:28.000000,2021-08-24 22:47:35.000000,1361,565.0,1378.0,15669.0,,Streamlit The fastest way to build data apps in Python.,116.0,28,True,2021-08-19 22:48:03.000000,0.87.0,139.0,streamlit,,,,,140.0,106.0,https://pypi.org/project/streamlit,2021-08-19 22:46:30.000000,34.0,457392.0,457392.0,,,,,,,,1.0,,,,,,,,1.0,,,,,,,,,,,,,\n174,Rasa,RasaHQ/rasa,,nlp,https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49.000000,2021-08-26 14:07:51.000000,2021-08-26 12:51:02.000000,3617,749.0,5052.0,12556.0,,\"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..\",500.0,28,True,2021-08-19 16:41:41.000000,2.8.3,212.0,rasa,,,,['tensorflow'],64.0,,https://pypi.org/project/rasa,2021-08-19 16:41:24.000000,64.0,173905.0,173905.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n175,NNI,microsoft/nni,,hyperopt,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44.000000,2021-08-26 08:42:56.000000,2021-08-26 07:36:04.000000,1411,209.0,1152.0,10167.0,2289.0,\"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..\",144.0,28,True,2021-08-12 00:36:12.000000,2.4,43.0,nni,,,,,155.0,139.0,https://pypi.org/project/nni,2021-08-12 00:44:33.000000,16.0,11365.0,11365.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n176,ParlAI,facebookresearch/ParlAI,,nlp,https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44.000000,2021-08-26 13:18:43.000000,2021-08-26 01:04:52.000000,1604,102.0,1000.0,8222.0,3896.0,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,161.0,28,True,2021-08-25 13:23:55.000000,1.5.0,20.0,parlai,,,,['pytorch'],38.0,38.0,https://pypi.org/project/parlai,2021-08-25 13:23:55.000000,0.0,4208.0,4208.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n177,auto-sklearn,automl/auto-sklearn,,hyperopt,https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10.000000,2021-08-26 13:02:19.000000,2021-08-10 13:37:35.000000,1041,105.0,654.0,5614.0,2496.0,Automated Machine Learning with scikit-learn.,73.0,28,True,2021-07-28 07:35:52.000000,0.13.0,33.0,auto-sklearn,,,,['sklearn'],218.0,188.0,https://pypi.org/project/auto-sklearn,2021-07-28 07:33:05.000000,30.0,22982.0,22982.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n178,DeepPavlov,deepmipt/DeepPavlov,,nlp,https://github.com/deepmipt/DeepPavlov,https://github.com/deepmipt/DeepPavlov,Apache-2.0,2017-11-17 14:35:29.000000,2021-08-26 10:42:58.000000,2021-08-02 07:02:04.000000,967,126.0,466.0,5364.0,2601.0,An open source library for deep learning end-to-end dialog systems and chatbots.,66.0,28,True,2021-08-02 07:07:34.000000,0.16.0,44.0,deeppavlov,,,,['tensorflow'],220.0,212.0,https://pypi.org/project/deeppavlov,2021-08-02 07:07:34.000000,8.0,10937.0,10937.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n179,Bayesian Optimization,fmfn/BayesianOptimization,,hyperopt,https://github.com/fmfn/BayesianOptimization,https://github.com/fmfn/BayesianOptimization,MIT,2014-06-06 08:18:56.000000,2021-05-01 01:55:39.000000,2020-12-19 01:11:23.000000,1149,40.0,171.0,5337.0,199.0,A Python implementation of global optimization with gaussian processes.,27.0,28,True,2020-05-16 16:03:51.000000,1.2.0,8.0,bayesian-optimization,,,,,949.0,857.0,https://pypi.org/project/bayesian-optimization,2020-05-16 15:56:09.000000,92.0,143622.0,143623.0,,,,,,,,2.0,65.0,,,,,,,,,,,,,,,,,,,,\n180,OpenNMT,OpenNMT/OpenNMT-py,,nlp,https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000000,2021-08-26 14:07:22.000000,2021-08-23 08:38:37.000000,1869,113.0,1164.0,5174.0,2570.0,Open Source Neural Machine Translation in PyTorch.,171.0,28,True,2021-04-30 16:41:28.000000,2.1.2,31.0,OpenNMT-py,,,,['pytorch'],105.0,101.0,https://pypi.org/project/OpenNMT-py,2021-04-30 16:41:28.000000,4.0,4207.0,4207.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n181,PyOD,yzhao062/pyod,,others,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04.000000,2021-08-19 18:05:05.000000,2021-08-19 18:03:11.000000,951,116.0,100.0,4791.0,1341.0,(JMLR'19) A Python Toolbox for Scalable Outlier Detection (Anomaly Detection).,28.0,28,True,2021-08-15 22:24:48.000000,V0.9.2,70.0,pyod,,,,,804.0,798.0,https://pypi.org/project/pyod,2021-08-15 22:23:21.000000,6.0,252430.0,252430.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n182,librosa,librosa/librosa,,audio,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000000,2021-08-26 01:21:07.000000,2021-07-01 13:06:00.000000,739,49.0,846.0,4687.0,,Python library for audio and music analysis.,90.0,28,True,2021-05-26 10:15:06.000000,0.8.1,31.0,librosa,conda-forge/librosa,,,,1750.0,,https://pypi.org/project/librosa,2021-05-26 10:15:06.000000,1750.0,535214.0,541474.0,https://anaconda.org/conda-forge/librosa,2021-05-26 10:44:27.607000,381865.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n183,DEAP,deap/deap,,distributed-ml,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39.000000,2021-08-01 13:37:33.275000,2021-05-08 10:26:27.000000,913,219.0,227.0,4362.0,2149.0,Distributed Evolutionary Algorithms in Python.,68.0,28,False,2020-01-21 01:18:06.000000,1.3.1,16.0,deap,conda-forge/deap,,,,2538.0,2056.0,https://pypi.org/project/deap,2020-01-21 01:18:06.000000,482.0,125912.0,128239.0,https://anaconda.org/conda-forge/deap,2021-08-01 13:37:33.275000,144289.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n184,InterpretML,interpretml/interpret,,interpretability,https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000000,2021-08-16 17:02:27.000000,2021-08-10 22:37:33.000000,498,77.0,156.0,4024.0,1763.0,Fit interpretable models. Explain blackbox machine learning.,27.0,28,True,2021-07-20 21:49:22.000000,0.2.6,36.0,interpret,,,,['jupyter'],113.0,111.0,https://pypi.org/project/interpret,2021-07-20 21:28:01.000000,2.0,68491.0,68491.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n185,pyfolio,quantopian/pyfolio,,financial-data,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39.000000,2021-07-18 20:15:36.000000,2020-07-15 13:46:58.000000,1255,134.0,264.0,3989.0,1184.0,Portfolio and risk analytics in Python.,55.0,28,False,2019-04-15 15:00:21.000000,0.9.2,22.0,pyfolio,conda-forge/pyfolio,,,,352.0,298.0,https://pypi.org/project/pyfolio,2019-04-15 15:00:21.000000,54.0,9358.0,9526.0,https://anaconda.org/conda-forge/pyfolio,2020-05-16 14:11:57.267000,7085.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n186,imutils,jrosebr1/imutils,,image,https://github.com/jrosebr1/imutils,https://github.com/jrosebr1/imutils,MIT,2015-01-11 20:05:39.000000,2021-08-10 17:46:37.000000,2021-01-15 10:46:45.000000,911,142.0,76.0,3787.0,138.0,\"A series of convenience functions to make basic image processing operations such as translation, rotation, resizing,..\",20.0,28,True,2021-01-15 10:53:17.000000,0.5.4,29.0,imutils,conda-forge/imutils,,,,19018.0,17822.0,https://pypi.org/project/imutils,2021-01-15 10:53:17.000000,1196.0,307329.0,309711.0,https://anaconda.org/conda-forge/imutils,2021-01-15 14:27:25.471000,61943.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n187,Ignite,pytorch/ignite,,ml-frameworks,https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000000,2021-08-26 07:34:59.000000,2021-08-24 14:35:46.000000,477,127.0,768.0,3650.0,1196.0,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,148.0,28,True,2021-08-02 17:05:34.000000,0.4.6,660.0,pytorch-ignite,pytorch/ignite,,,['pytorch'],62.0,,https://pypi.org/project/pytorch-ignite,2021-08-26 00:10:14.000000,62.0,70525.0,72256.0,https://anaconda.org/pytorch/ignite,2021-08-02 17:07:03.674000,65787.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n188,huey,coleifer/huey,,data-pipelines,https://github.com/coleifer/huey,https://github.com/coleifer/huey,MIT,2011-11-03 16:39:43.000000,2021-08-13 18:05:12.000000,2021-08-13 18:05:00.000000,314,,465.0,3612.0,917.0,a little task queue for python.,65.0,28,True,2021-08-10 16:25:56.000000,2.4.0,60.0,huey,conda-forge/huey,,,,1074.0,788.0,https://pypi.org/project/huey,2021-08-10 16:24:43.000000,286.0,45789.0,46317.0,https://anaconda.org/conda-forge/huey,2019-10-16 15:34:27.487000,21123.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n189,sacred,IDSIA/sacred,,ml-experiments,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29.000000,2021-07-20 13:59:38.000000,2021-07-20 13:59:38.000000,318,92.0,423.0,3571.0,1311.0,\"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.\",93.0,28,True,2020-12-14 15:21:05.000000,0.8.2,27.0,sacred,,,,,1171.0,1017.0,https://pypi.org/project/sacred,2020-12-14 15:21:05.000000,154.0,25660.0,25660.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n190,Gradio,gradio-app/gradio,,others,https://github.com/gradio-app/gradio,https://github.com/gradio-app/gradio,Apache-2.0,2018-12-19 08:24:04.000000,2021-08-25 21:42:48.000000,2021-08-25 21:42:45.000000,210,17.0,140.0,3380.0,1182.0,\"Wrap UIs around any model, share with anyone.\",26.0,28,True,2021-08-24 19:38:10.000000,2.2.14,129.0,gradio,,,,,268.0,266.0,https://pypi.org/project/gradio,2021-08-24 19:38:10.000000,2.0,13221.0,13221.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n191,dyNET,clab/dynet,,ml-frameworks,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21.000000,2021-06-08 19:03:01.000000,2021-01-27 15:43:03.000000,703,259.0,661.0,3242.0,3267.0,DyNet: The Dynamic Neural Network Toolkit.,156.0,28,True,2020-10-21 14:31:01.000000,2.1.2,24.0,dyNET,,,,,223.0,185.0,https://pypi.org/project/dyNET,2020-10-21 14:31:01.000000,38.0,15270.0,15330.0,,,,,,,,3.0,3528.0,,,,,,,,,,,,,,,,,,,,\n192,bqplot,bqplot/bqplot,,data-viz,https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18.000000,2021-08-26 08:01:45.000000,2021-08-25 15:22:42.000000,414,194.0,348.0,3128.0,3414.0,Plotting library for IPython/Jupyter notebooks.,54.0,28,True,2021-07-16 08:16:38.000000,0.12.30,97.0,bqplot,conda-forge/bqplot,,,['jupyter'],149.0,27.0,https://pypi.org/project/bqplot,2021-07-16 08:04:30.000000,112.0,62860.0,87878.0,https://anaconda.org/conda-forge/bqplot,2021-07-16 09:06:48.168000,744292.0,,,,,2.0,,,bqplot,https://www.npmjs.com/package/bqplot,2021-07-16 08:02:45.624000,10.0,13204.0,,,,,,,,,,,,,,\n193,ftfy,LuminosoInsight/python-ftfy,,nlp,https://github.com/rspeer/python-ftfy,https://github.com/rspeer/python-ftfy,MIT,2012-08-24 16:14:59.000000,2021-05-25 06:35:21.702000,2021-05-17 19:04:10.000000,102,13.0,106.0,3045.0,590.0,\"Fixes mojibake and other glitches in Unicode text, after the fact.\",18.0,28,True,2021-08-23 21:02:05.000000,6.0.3,45.0,ftfy,conda-forge/ftfy,,,,4510.0,3750.0,https://pypi.org/project/ftfy,2021-05-24 05:17:15.000000,760.0,956685.0,958955.0,https://anaconda.org/conda-forge/ftfy,2021-05-25 06:35:21.702000,118045.0,,,,,2.0,,,,,,,,,,,,,rspeer/python-ftfy,,,,,,,,\n194,Blaze,blaze/blaze,,data-containers,https://github.com/blaze/blaze,https://github.com/blaze/blaze,BSD-3-Clause,2012-10-26 14:25:22.000000,2020-02-01 19:33:09.000000,2019-08-15 21:14:59.000000,373,262.0,500.0,2984.0,7496.0,NumPy and Pandas interface to Big Data.,64.0,28,False,2016-07-19 20:40:03.000000,0.11.0,14.0,blaze,conda-forge/blaze,,,,9460.0,7838.0,https://pypi.org/project/blaze,2016-05-06 21:19:21.000000,1622.0,11236.0,15264.0,https://anaconda.org/conda-forge/blaze,2018-07-15 22:16:17.685000,193346.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n195,torchtext,pytorch/text,,nlp,https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000000,2021-08-26 11:37:42.000000,2021-08-24 05:50:17.000000,648,316.0,330.0,2835.0,847.0,Data loaders and abstractions for text and NLP.,113.0,28,True,2021-06-15 16:03:12.000000,0.10.0,15.0,torchtext,,,,['pytorch'],682.0,,https://pypi.org/project/torchtext,2021-06-15 15:32:07.000000,682.0,115268.0,115268.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n196,plotnine,has2k1/plotnine,,data-viz,https://github.com/has2k1/plotnine,https://github.com/has2k1/plotnine,GPL-2.0,2017-04-24 19:00:44.000000,2021-08-12 06:39:53.000000,2021-05-24 08:44:04.000000,143,64.0,373.0,2773.0,1698.0,A grammar of graphics for Python.,85.0,28,False,2021-03-25 12:57:10.000000,0.8.0,11.0,plotnine,conda-forge/plotnine,,,,2560.0,2306.0,https://pypi.org/project/plotnine,2021-03-25 10:49:20.000000,254.0,260664.0,263033.0,https://anaconda.org/conda-forge/plotnine,2021-03-25 12:31:04.423000,120851.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n197,Captum,pytorch/captum,,interpretability,https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000000,2021-08-24 02:53:50.000000,2021-08-24 02:46:15.000000,266,61.0,199.0,2554.0,847.0,Model interpretability and understanding for PyTorch.,74.0,28,True,2021-07-07 05:16:49.000000,0.4.0,6.0,captum,,,,['pytorch'],245.0,245.0,https://pypi.org/project/captum,2021-07-07 04:40:26.000000,0.0,90873.0,90873.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n198,gpustat,wookayin/gpustat,,gpu-utilities,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43.000000,2021-08-05 11:07:01.000000,2021-08-05 10:51:21.000000,205,22.0,54.0,2541.0,169.0,A simple command-line utility for querying and monitoring GPU status.,12.0,28,True,2019-07-22 06:37:00.000000,0.6.0,11.0,gpustat,conda-forge/gpustat,,,,1200.0,1142.0,https://pypi.org/project/gpustat,2021-01-02 05:59:41.000000,58.0,602481.0,604820.0,https://anaconda.org/conda-forge/gpustat,2020-11-24 19:59:04.772000,67838.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n199,NMSLIB,nmslib/nmslib,,nn-search,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06.000000,2021-07-28 14:36:48.000000,2021-07-14 14:01:41.000000,359,54.0,331.0,2520.0,1507.0,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,45.0,28,True,2021-02-03 16:40:09.000000,2.1.1,32.0,nmslib,conda-forge/nmslib,,,,506.0,454.0,https://pypi.org/project/nmslib,2021-02-03 00:02:08.000000,52.0,93577.0,96023.0,https://anaconda.org/conda-forge/nmslib,2021-01-08 16:19:07.762000,39142.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n200,TF-Agents,tensorflow/agents,,reinforcement-learning,https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000000,2021-08-25 22:57:03.000000,2021-08-25 22:56:11.000000,549,117.0,376.0,2006.0,1870.0,\"TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.\",100.0,28,True,2021-08-12 17:16:54.000000,0.9.0,24.0,tf-agents,,,,['tensorflow'],562.0,550.0,https://pypi.org/project/tf-agents,2021-08-12 17:16:54.000000,12.0,18175.0,18175.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n201,tesserocr,sirfz/tesserocr,,ocr,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36.000000,2021-08-26 06:43:12.000000,2021-06-19 22:44:28.000000,202,66.0,150.0,1500.0,167.0,A Python wrapper for the tesseract-ocr API.,26.0,28,True,2021-06-19 21:10:18.000000,2.5.2,16.0,tesserocr,conda-forge/tesserocr,,,,644.0,544.0,https://pypi.org/project/tesserocr,2021-06-19 21:10:18.000000,100.0,68697.0,71236.0,https://anaconda.org/conda-forge/tesserocr,2021-01-13 16:38:14.456000,55869.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n202,Mesh,tensorflow/mesh,,distributed-ml,https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34.000000,2021-08-24 17:51:45.000000,2021-08-24 17:50:22.000000,180,79.0,13.0,1096.0,635.0,Mesh TensorFlow: Model Parallelism Made Easier.,42.0,28,True,2021-03-24 19:03:46.000000,0.1.19,25.0,mesh-tensorflow,,,,['tensorflow'],619.0,563.0,https://pypi.org/project/mesh-tensorflow,2021-03-24 19:03:46.000000,56.0,1325043.0,1325043.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n203,TF Model Optimization,tensorflow/model-optimization,,tensorflow-utils,https://github.com/tensorflow/model-optimization,https://github.com/tensorflow/model-optimization,Apache-2.0,2018-10-31 20:34:28.000000,2021-08-26 13:50:28.000000,2021-08-26 03:11:22.000000,247,92.0,130.0,1096.0,645.0,\"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.\",58.0,28,True,2021-06-18 06:40:44.000000,0.6.0,23.0,tensorflow-model-optimization,,,,['tensorflow'],1091.0,1085.0,https://pypi.org/project/tensorflow-model-optimization,2021-06-18 06:24:07.000000,6.0,145948.0,145948.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n204,pmdarima,alkaline-ml/pmdarima,,time-series-data,https://github.com/alkaline-ml/pmdarima,https://github.com/alkaline-ml/pmdarima,MIT,2017-03-30 14:58:30.000000,2021-08-26 15:24:10.000000,2021-07-24 17:10:53.000000,176,24.0,225.0,965.0,1032.0,\"A statistical library designed to fill the void in Python's time series analysis capabilities, including the..\",19.0,28,True,2021-04-19 22:17:02.000000,1.8.2,34.0,pmdarima,,,,,1291.0,1279.0,https://pypi.org/project/pmdarima,2021-04-19 22:17:02.000000,12.0,890786.0,890786.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n205,igraph,igraph/python-igraph,,graph,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16.000000,2021-08-24 00:04:25.000000,2021-08-09 11:46:41.000000,198,28.0,298.0,856.0,1753.0,Python interface for igraph.,53.0,28,False,2021-06-12 08:08:59.000000,0.9.6,23.0,python-igraph,conda-forge/igraph,,,,2277.0,1853.0,https://pypi.org/project/python-igraph,2021-06-12 08:23:34.000000,424.0,120747.0,129103.0,https://anaconda.org/conda-forge/igraph,2021-06-16 15:20:14.330000,245031.0,,,,,1.0,218495.0,,,,,,,,,,,,,,,,,,,,\n206,TensorFlow Text,tensorflow/text,,nlp,https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000000,2021-08-26 04:02:17.000000,2021-08-25 20:21:26.000000,119,66.0,104.0,799.0,490.0,Making text a first-class citizen in TensorFlow.,53.0,28,True,2021-08-18 20:58:42.000000,2.6.0,36.0,tensorflow-text,,,,['tensorflow'],923.0,919.0,https://pypi.org/project/tensorflow-text,2021-08-17 18:06:30.000000,4.0,2007426.0,2007426.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n207,zarr,zarr-developers/zarr-python,,data-containers,https://github.com/zarr-developers/zarr-python,https://github.com/zarr-developers/zarr-python,MIT,2015-12-15 14:49:40.000000,2021-08-26 09:58:46.000000,2021-08-26 09:45:33.000000,128,208.0,247.0,748.0,1456.0,\"An implementation of chunked, compressed, N-dimensional arrays for Python.\",47.0,28,True,2021-08-26 10:12:19.000000,2.9.3,41.0,zarr,conda-forge/zarr,,,,894.0,822.0,https://pypi.org/project/zarr,2021-08-26 09:58:46.000000,72.0,47016.0,61167.0,https://anaconda.org/conda-forge/zarr,2021-05-21 03:10:15.230000,891515.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n208,geojson,jazzband/geojson,,geospatial-data,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48.000000,2021-08-10 19:44:32.000000,2021-08-08 04:35:17.000000,84,23.0,53.0,643.0,449.0,Python bindings and utilities for GeoJSON.,44.0,28,True,2019-08-09 20:32:15.000000,2.5.0,28.0,geojson,conda-forge/geojson,,,,9278.0,7444.0,https://pypi.org/project/geojson,2019-08-09 20:32:15.000000,1834.0,714005.0,720665.0,https://anaconda.org/conda-forge/geojson,2019-08-11 12:10:34.426000,432954.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n209,data-validation,tensorflow/data-validation,,data-viz,https://github.com/tensorflow/data-validation,https://github.com/tensorflow/data-validation,Apache-2.0,2018-07-02 15:47:02.000000,2021-08-24 12:56:51.000000,2021-08-24 12:56:48.000000,104,37.0,95.0,570.0,650.0,Library for exploring and validating machine learning data.,21.0,28,True,2021-07-28 23:29:27.000000,1.2.0,32.0,tensorflow-data-validation,,,,\"['tensorflow', 'jupyter']\",337.0,319.0,https://pypi.org/project/tensorflow-data-validation,2021-07-28 23:29:27.000000,18.0,8481975.0,8481982.0,,,,,,,,2.0,277.0,,,,,,,,,,,,,,,,,,,,\n210,DIPY,dipy/dipy,,medical-data,https://github.com/dipy/dipy,https://github.com/dipy/dipy,BSD-3-Clause,2010-02-06 11:43:08.000000,2021-08-26 01:53:30.000000,2021-07-22 13:53:16.000000,313,156.0,622.0,457.0,11653.0,\"DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal..\",123.0,28,True,2021-03-14 14:05:15.000000,1.4.0,23.0,dipy,conda-forge/dipy,,,,515.0,421.0,https://pypi.org/project/dipy,2021-05-06 04:40:48.000000,94.0,10849.0,14854.0,https://anaconda.org/conda-forge/dipy,2021-05-06 13:36:55.402000,252348.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n211,CNTK,microsoft/CNTK,,ml-frameworks,https://github.com/microsoft/CNTK,https://github.com/microsoft/CNTK,MIT,2015-11-26 09:52:06.000000,2021-08-03 10:21:10.000000,2020-03-31 15:55:14.000000,4402,836.0,2523.0,17086.0,16116.0,\"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.\",268.0,27,False,2019-04-26 14:13:32.000000,2.7,32.0,cntk,,,,,34.0,,https://pypi.org/project/cntk,2020-12-09 22:21:57.000000,34.0,1853.0,2059.0,,,,,,,,3.0,13861.0,,,,,,,,,,,,,,,,,,,,\n212,PaddleOCR,PaddlePaddle/PaddleOCR,,ocr,https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000000,2021-08-26 11:12:18.000000,2021-08-25 02:11:22.000000,3044,838.0,1893.0,14795.0,,\"Awesome multilingual OCR toolkits based on PaddlePaddle practical ultra lightweight OCR system, support 80+ languages..\",66.0,27,True,2021-05-26 11:43:06.000000,2.1.1,16.0,paddleocr,,,,['paddle'],298.0,298.0,https://pypi.org/project/paddleocr,2021-08-10 08:39:17.000000,0.0,34410.0,34410.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n213,baselines,openai/baselines,,reinforcement-learning,https://github.com/openai/baselines,https://github.com/openai/baselines,MIT,2017-05-24 01:58:13.000000,2021-06-12 21:46:56.000000,2020-01-31 13:06:18.000000,4040,455.0,429.0,11795.0,347.0,OpenAI Baselines: high-quality implementations of reinforcement learning algorithms.,114.0,27,False,2018-02-26 17:07:07.000000,0.1.5,6.0,baselines,,,,,409.0,335.0,https://pypi.org/project/baselines,2018-02-26 17:07:07.000000,74.0,1211.0,1211.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n214,PySyft,OpenMined/PySyft,,privacy-ml,https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,Apache-2.0,2017-07-18 20:41:16.000000,2021-08-26 08:41:29.000000,2021-08-24 06:47:04.000000,1685,270.0,2752.0,7517.0,9339.0,A library for answering questions using data you cannot see.,415.0,27,True,2021-06-28 06:55:25.000000,0.5.0,54.0,syft,,,,['pytorch'],6.0,,https://pypi.org/project/syft,2021-06-28 06:55:25.000000,6.0,2538.0,2538.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n215,imageai,OlafenwaMoses/ImageAI,,image,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33.000000,2021-08-25 14:44:16.000000,2021-05-08 20:05:36.000000,1776,231.0,422.0,6435.0,292.0,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,15.0,27,True,2021-01-05 01:26:01.000000,2.1.6,10.0,imageai,,,,,944.0,920.0,https://pypi.org/project/imageai,2021-01-05 01:26:01.000000,24.0,8245.0,23878.0,,,,,,,,2.0,625349.0,,,,,,,,,,,,,,,,,,,,\n216,carla,carla-simulator/carla,,others,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000000,2021-08-18 02:48:28.000000,2021-08-02 16:06:44.000000,1879,377.0,2980.0,6378.0,5331.0,Open-source simulator for autonomous driving research.,130.0,27,True,2021-08-03 14:09:24.000000,0.9.12,23.0,carla,,,,,86.0,82.0,https://pypi.org/project/carla,2021-08-02 23:54:33.000000,4.0,1692.0,1692.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n217,EfficientNet-PyTorch,lukemelas/EfficientNet-PyTorch,,pytorch-utils,https://github.com/lukemelas/EfficientNet-PyTorch,https://github.com/lukemelas/EfficientNet-PyTorch,Apache-2.0,2019-05-30 05:24:11.000000,2021-07-21 18:37:43.000000,2021-04-15 15:16:36.000000,1227,122.0,133.0,6369.0,162.0,A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!).,24.0,27,True,2021-04-15 15:17:23.000000,0.7.1,13.0,efficientnet-pytorch,,,,['pytorch'],14.0,,https://pypi.org/project/efficientnet-pytorch,2021-04-15 15:17:23.000000,14.0,173448.0,216609.0,,,,,,,,1.0,733747.0,,,,,,,,,,,,,,,,,,,,\n218,tsfresh,blue-yonder/tsfresh,,time-series-data,https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17.000000,2021-08-22 15:37:02.000000,2021-07-09 20:29:39.000000,898,38.0,429.0,5874.0,398.0,Automatic extraction of relevant features from time series:.,79.0,27,True,2021-03-06 08:49:53.000000,0.18.0,26.0,tsfresh,conda-forge/tsfresh,,,['sklearn'],66.0,,https://pypi.org/project/tsfresh,2020-09-09 21:08:22.000000,66.0,339567.0,340483.0,https://anaconda.org/conda-forge/tsfresh,2021-03-07 06:57:04.012000,41249.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n219,featuretools,alteryx/featuretools,,hyperopt,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17.000000,2021-08-26 14:43:34.000000,2021-08-25 18:04:22.000000,745,131.0,506.0,5702.0,,An open source python library for automated feature engineering.,53.0,27,True,2021-08-17 23:39:01.000000,0.26.2,83.0,featuretools,conda-forge/featuretools,,,,889.0,819.0,https://pypi.org/project/featuretools,2021-08-17 23:40:01.000000,70.0,313677.0,315627.0,https://anaconda.org/conda-forge/featuretools,2021-08-18 14:42:17.715000,62406.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n220,CleverHans,cleverhans-lab/cleverhans,,adversarial,https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04.000000,2021-07-24 08:53:21.000000,2021-07-24 08:40:44.000000,1304,25.0,420.0,5224.0,3196.0,\"An adversarial example library for constructing attacks, building defenses, and benchmarking both.\",126.0,27,True,2021-07-24 08:53:21.000000,4.0.0,8.0,cleverhans,,,,['tensorflow'],263.0,247.0,https://pypi.org/project/cleverhans,2021-07-24 08:53:21.000000,16.0,844.0,844.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n221,scikit-surprise,NicolasHug/Surprise,,recommender-systems,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38.000000,2020-10-13 01:22:58.850000,2020-08-05 17:45:59.000000,869,51.0,291.0,4994.0,622.0,A Python scikit for building and analyzing recommender systems.,38.0,27,True,2020-07-19 14:50:48.000000,1.1.1,9.0,scikit-surprise,conda-forge/scikit-surprise,,,,1295.0,1247.0,https://pypi.org/project/scikit-surprise,2020-07-19 14:50:48.000000,48.0,63507.0,67928.0,https://anaconda.org/conda-forge/scikit-surprise,2020-10-13 01:22:58.850000,190144.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n222,Metaflow,Netflix/metaflow,,ml-experiments,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000000,2021-08-26 03:23:50.000000,2021-08-25 03:52:55.000000,396,175.0,174.0,4564.0,310.0,Build and manage real-life data science projects with ease.,36.0,27,True,2021-08-23 21:46:06.000000,2.3.5,29.0,metaflow,conda-forge/metaflow,,,,193.0,191.0,https://pypi.org/project/metaflow,2021-08-23 22:35:15.000000,2.0,43921.0,45035.0,https://anaconda.org/conda-forge/metaflow,2021-08-24 00:33:29.181000,22281.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n223,skorch,skorch-dev/skorch,,ml-frameworks,https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000000,2021-08-15 21:58:27.000000,2021-07-29 13:18:05.000000,283,45.0,352.0,4095.0,964.0,A scikit-learn compatible neural network library that wraps PyTorch.,43.0,27,True,2021-03-23 15:34:51.000000,0.10.0,13.0,skorch,conda-forge/skorch,,,\"['pytorch', 'sklearn']\",400.0,374.0,https://pypi.org/project/skorch,2021-03-23 15:32:29.000000,26.0,14718.0,24628.0,https://anaconda.org/conda-forge/skorch,2021-03-24 00:24:03.810000,346879.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n224,espnet,espnet/espnet,,audio,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000000,2021-08-26 14:45:35.000000,2021-08-26 08:37:39.000000,1266,222.0,1231.0,4086.0,12294.0,End-to-End Speech Processing Toolkit.,179.0,27,True,2021-08-12 13:08:13.000000,.0.10.1,37.0,espnet,,,,,17.0,17.0,https://pypi.org/project/espnet,2021-08-12 13:08:45.000000,0.0,4233.0,4234.0,,,,,,,,2.0,73.0,,,,,,,,,,,,,,,,,,,,\n225,pyAudioAnalysis,tyiannak/pyAudioAnalysis,,audio,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13.000000,2021-08-05 21:03:21.000000,2021-08-05 21:03:21.000000,1017,175.0,109.0,4084.0,692.0,\"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.\",25.0,27,True,2021-05-13 14:14:02.000000,0.3.7,16.0,pyAudioAnalysis,,,,,252.0,230.0,https://pypi.org/project/pyAudioAnalysis,2021-05-13 14:14:02.000000,22.0,10570.0,10570.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n226,Perspective,finos/perspective,,data-viz,https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000000,2021-08-26 08:14:09.000000,2021-08-16 23:47:03.000000,386,75.0,366.0,3520.0,4606.0,Streaming pivot visualization via WebAssembly.,64.0,27,True,2021-07-08 06:14:18.000000,0.10.0,48.0,perspective-python,,,,['jupyter'],212.0,204.0,https://pypi.org/project/perspective-python,2021-07-08 06:14:18.000000,8.0,1853.0,4244.0,,,,,,,,2.0,,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2021-08-12 06:12:31.068000,,2391.0,,,,,,,,,,,,,,\n227,DeepChem,deepchem/deepchem,,others,https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000000,2021-08-25 19:35:11.000000,2021-08-24 19:17:04.000000,1035,426.0,916.0,3117.0,7077.0,\"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.\",169.0,27,True,2021-03-18 03:10:52.000000,2.5.0,318.0,deepchem,,,,['tensorflow'],54.0,50.0,https://pypi.org/project/deepchem,2021-08-24 19:29:09.000000,4.0,5312.0,5312.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n228,BentoML,bentoml/BentoML,,model-serialisation,https://github.com/bentoml/BentoML,https://github.com/bentoml/BentoML,Apache-2.0,2019-04-02 01:39:27.000000,2021-08-26 07:52:23.000000,2021-08-13 16:34:01.000000,319,74.0,398.0,2751.0,1152.0,Model Serving Made Easy.,85.0,27,True,2021-07-13 10:52:52.000000,0.13.1,70.0,bentoml,,,,,113.0,105.0,https://pypi.org/project/bentoml,2021-07-13 07:00:28.000000,8.0,11444.0,11475.0,,,,,,,,1.0,882.0,,,,,,,,,,,,,,,,,,,,\n229,pomegranate,jmschrei/pomegranate,,probabilistics,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000000,2021-08-03 08:04:16.000000,2021-07-26 18:40:59.000000,495,59.0,572.0,2726.0,900.0,\"Fast, flexible and easy to use probabilistic modelling in Python.\",63.0,27,True,2021-03-29 16:51:20.000000,0.14.4,65.0,pomegranate,conda-forge/pomegranate,,,,564.0,508.0,https://pypi.org/project/pomegranate,2021-03-29 16:51:20.000000,56.0,51607.0,54351.0,https://anaconda.org/conda-forge/pomegranate,2020-11-01 16:22:04.857000,68604.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n230,Catalyst,catalyst-team/catalyst,,ml-experiments,https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13.000000,2021-08-24 14:12:53.000000,2021-08-20 07:15:49.000000,335,16.0,308.0,2693.0,1585.0,Accelerated deep learning R&D.,96.0,27,True,2021-07-29 06:01:51.000000,21.07,97.0,catalyst,,,,['pytorch'],438.0,400.0,https://pypi.org/project/catalyst,2021-07-29 05:58:06.000000,38.0,11484.0,11484.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n231,ClearML,allegroai/clearml,,ml-experiments,https://github.com/allegroai/clearml,https://github.com/allegroai/clearml,Apache-2.0,2019-06-10 08:18:32.000000,2021-08-25 13:47:27.000000,2021-08-25 13:47:11.000000,375,123.0,246.0,2651.0,1292.0,\"ClearML - Auto-Magical Suite of tools to streamline your ML workflow. Experiment Manager, ML-Ops and Data-Management.\",34.0,27,True,2021-08-05 21:15:04.000000,1.0.5,46.0,clearml,,allegroai/trains,,,68.0,68.0,https://pypi.org/project/clearml,2021-08-05 21:14:24.000000,0.0,48945.0,50115.0,,,,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,30075.0,2.0,368.0,,,,,,,,,,,,,,,,,,,,\n232,sklearn-pandas,scikit-learn-contrib/sklearn-pandas,,data-containers,https://github.com/scikit-learn-contrib/sklearn-pandas,https://github.com/scikit-learn-contrib/sklearn-pandas,Zlib,2013-04-22 22:55:20.000000,2021-05-08 08:31:08.000000,2021-05-08 08:05:59.000000,393,25.0,125.0,2478.0,287.0,Pandas integration with sklearn.,37.0,27,False,2021-05-08 08:32:08.000000,2.1.0,27.0,sklearn-pandas,,,,\"['sklearn', 'pandas']\",2941.0,2719.0,https://pypi.org/project/sklearn-pandas,2021-05-08 08:14:28.000000,222.0,202473.0,202473.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n233,eli5,TeamHG-Memex/eli5,,interpretability,https://github.com/TeamHG-Memex/eli5,https://github.com/TeamHG-Memex/eli5,MIT,2016-09-15 01:04:57.000000,2021-06-10 22:02:56.000000,2020-01-22 07:39:36.000000,303,145.0,110.0,2434.0,1198.0,A library for debugging/inspecting machine learning classifiers and explaining their predictions.,14.0,27,False,2021-01-23 14:25:24.000000,0.11.0,28.0,eli5,conda-forge/eli5,,,,110.0,,https://pypi.org/project/eli5,2021-01-23 14:25:24.000000,110.0,639606.0,641594.0,https://anaconda.org/conda-forge/eli5,2021-01-25 08:24:59.385000,101409.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n234,pygal,Kozea/pygal,,graph,https://github.com/Kozea/pygal,https://github.com/Kozea/pygal,LGPL-3.0,2011-09-23 10:17:50.000000,2021-08-18 06:57:48.000000,2021-08-18 06:57:48.000000,384,164.0,242.0,2384.0,1015.0,PYthon svg GrAph plotting Library.,71.0,27,False,2017-07-05 09:22:41.000000,2.4.0,74.0,pygal,conda-forge/pygal,,,,1152.0,,https://pypi.org/project/pygal,2020-10-14 13:06:35.000000,1152.0,113108.0,113410.0,https://anaconda.org/conda-forge/pygal,2019-06-04 02:55:56.728000,7871.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n235,ta,bukosabino/ta,,financial-data,https://github.com/bukosabino/ta,https://github.com/bukosabino/ta,MIT,2018-01-02 18:08:48.000000,2021-08-23 20:39:46.000000,2020-11-29 21:08:14.000000,577,100.0,87.0,2378.0,582.0,Technical Analysis Library using Pandas and Numpy.,23.0,27,True,2020-11-29 10:49:09.000000,0.7.0,49.0,ta,,,,,719.0,707.0,https://pypi.org/project/ta,2020-11-29 10:49:09.000000,12.0,73064.0,73064.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n236,GluonNLP,dmlc/gluon-nlp,,nlp,https://github.com/dmlc/gluon-nlp,https://github.com/dmlc/gluon-nlp,Apache-2.0,2018-04-04 20:57:13.000000,2021-08-24 19:11:38.000000,2021-08-24 19:11:38.000000,508,252.0,294.0,2318.0,840.0,\"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..\",82.0,27,True,2020-08-13 19:17:42.000000,0.10.0,26.0,gluonnlp,,,,['mxnet'],587.0,565.0,https://pypi.org/project/gluonnlp,2020-08-13 19:17:42.000000,22.0,77228.0,77228.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n237,spark-nlp,JohnSnowLabs/spark-nlp,,nlp,https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000000,2021-08-26 14:57:13.000000,2021-08-26 11:42:52.000000,475,80.0,464.0,2295.0,11774.0,State of the Art Natural Language Processing.,93.0,27,True,2021-08-11 20:23:01.000000,3.2.1,90.0,spark-nlp,,,,['spark'],0.0,,https://pypi.org/project/spark-nlp,2021-08-11 19:49:01.000000,0.0,1002618.0,1002618.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n238,Flax,google/flax,,ml-frameworks,https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000000,2021-08-25 18:06:50.000000,2021-08-25 18:06:41.000000,239,168.0,230.0,2076.0,,Flax is a neural network library for JAX that is designed for flexibility.,108.0,27,True,2021-05-18 11:27:56.000000,0.3.4,13.0,flax,,,,['jax'],365.0,359.0,https://pypi.org/project/flax,2021-05-18 11:27:56.000000,6.0,1418349.0,1418350.0,,,,,,,,3.0,26.0,,,,,,,,,,,,,,,,,,,,\n239,hdbscan,scikit-learn-contrib/hdbscan,,others,https://github.com/scikit-learn-contrib/hdbscan,https://github.com/scikit-learn-contrib/hdbscan,BSD-3-Clause,2015-04-22 13:32:37.000000,2021-04-07 15:55:02.000000,2021-04-07 15:55:02.000000,339,236.0,147.0,1954.0,884.0,A high performance implementation of HDBSCAN clustering.,69.0,27,True,2021-02-03 20:21:02.000000,0.8.27,43.0,hdbscan,conda-forge/hdbscan,,,['sklearn'],1087.0,963.0,https://pypi.org/project/hdbscan,2021-02-03 20:21:02.000000,124.0,385406.0,398574.0,https://anaconda.org/conda-forge/hdbscan,2021-02-14 03:07:15.749000,803285.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n240,MNE,mne-tools/mne-python,,medical-data,https://github.com/mne-tools/mne-python,https://github.com/mne-tools/mne-python,BSD-3-Clause,2011-01-28 03:31:13.000000,2021-08-26 14:33:16.000000,2021-08-25 21:40:22.000000,954,359.0,3403.0,1654.0,,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,265.0,27,True,2021-08-26 13:47:28.000000,0.23.2,54.0,mne,conda-forge/mne,,,,1281.0,1083.0,https://pypi.org/project/mne,2021-08-26 13:47:10.000000,198.0,40756.0,43699.0,https://anaconda.org/conda-forge/mne,2021-08-24 18:46:48.320000,158949.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n241,Pythran,serge-sans-paille/pythran,,others,https://github.com/serge-sans-paille/pythran,https://github.com/serge-sans-paille/pythran,BSD-3-Clause,2012-05-29 08:02:14.000000,2021-08-25 20:19:50.000000,2021-08-24 13:27:43.000000,154,112.0,601.0,1599.0,3438.0,Ahead of Time compiler for numeric kernels.,60.0,27,True,2021-07-13 20:41:53.000000,0.9.12,50.0,pythran,conda-forge/pythran,,,,87.0,61.0,https://pypi.org/project/pythran,2021-07-14 12:11:19.000000,26.0,49812.0,54618.0,https://anaconda.org/conda-forge/pythran,2021-07-22 09:00:34.986000,187464.0,,,,,2.0,,,,,,,,,,,,,,,pythran,python-pythran,,,,,\n242,TFX,tensorflow/tfx,,data-pipelines,https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000000,2021-08-26 14:39:56.000000,2021-08-26 05:18:30.000000,464,236.0,440.0,1574.0,3758.0,TFX is an end-to-end platform for deploying production ML pipelines.,120.0,27,True,2021-08-17 15:45:43.000000,1.2.0,57.0,tfx,,,,['tensorflow'],4.0,,https://pypi.org/project/tfx,2021-08-17 17:16:04.000000,4.0,1735109.0,1735109.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n243,jellyfish,jamesturk/jellyfish,,nlp,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,BSD-2-Clause,2010-07-09 20:41:11.000000,2021-08-17 18:51:33.000000,2021-08-17 18:44:17.000000,138,10.0,92.0,1506.0,,a python library for doing approximate and phonetic matching of strings.,23.0,27,True,2021-08-17 18:51:33.000000,0.8.8,30.0,jellyfish,conda-forge/jellyfish,,,,3340.0,2694.0,https://pypi.org/project/jellyfish,2021-08-17 18:51:33.000000,646.0,1284340.0,1286786.0,https://anaconda.org/conda-forge/jellyfish,2021-01-08 15:04:47.681000,144338.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n244,GPflow,GPflow/GPflow,,probabilistics,https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000000,2021-08-26 09:15:05.000000,2021-07-06 08:24:44.000000,404,103.0,612.0,1497.0,2229.0,Gaussian processes in TensorFlow.,71.0,27,True,2021-04-29 14:49:29.000000,2.2.1,31.0,gpflow,conda-forge/gpflow,,,['tensorflow'],318.0,284.0,https://pypi.org/project/gpflow,2021-04-29 14:49:29.000000,34.0,5697.0,5940.0,https://anaconda.org/conda-forge/gpflow,2018-11-06 08:51:39.744000,9501.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n245,Model Analysis,tensorflow/model-analysis,,interpretability,https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000000,2021-08-26 04:11:51.000000,2021-08-26 04:11:43.000000,222,25.0,45.0,1083.0,1021.0,Model analysis tools for TensorFlow.,35.0,27,True,2021-07-28 20:55:20.000000,0.33.0,42.0,tensorflow-model-analysis,,,,\"['tensorflow', 'jupyter']\",20.0,,https://pypi.org/project/tensorflow-model-analysis,2021-07-28 21:11:39.000000,20.0,8108588.0,8108588.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n246,agate,wireservice/agate,,others,https://github.com/wireservice/agate,https://github.com/wireservice/agate,MIT,2014-04-25 13:59:09.000000,2021-07-16 07:46:42.405000,2021-07-15 17:22:49.000000,131,54.0,630.0,1053.0,1466.0,A Python data analysis library that is optimized for humans instead of machines.,49.0,27,True,2018-03-11 14:37:30.000000,1.6.1,25.0,agate,conda-forge/agate,,,,854.0,612.0,https://pypi.org/project/agate,2021-07-15 16:32:29.000000,242.0,720648.0,721924.0,https://anaconda.org/conda-forge/agate,2021-07-16 07:46:42.405000,68930.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n247,petl,petl-developers/petl,,data-pipelines,https://github.com/petl-developers/petl,https://github.com/petl-developers/petl,MIT,2011-08-19 09:51:03.000000,2021-06-17 10:01:39.000000,2021-06-11 01:18:26.000000,154,69.0,349.0,916.0,1145.0,Python Extract Transform and Load Tables of Data.,47.0,27,True,2021-03-27 03:06:14.000000,1.7.4,79.0,petl,conda-forge/petl,,http://petl.readthedocs.org,,614.0,500.0,https://pypi.org/project/petl,2021-03-27 03:06:14.000000,114.0,56163.0,56665.0,https://anaconda.org/conda-forge/petl,2021-04-05 21:49:41.242000,29626.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n248,cartopy,SciTools/cartopy,,data-viz,https://github.com/SciTools/cartopy,https://github.com/SciTools/cartopy,LGPL-3.0,2012-08-03 07:43:59.000000,2021-08-24 01:20:58.000000,2021-08-12 01:51:53.000000,282,297.0,676.0,908.0,2329.0,Cartopy - a cartographic python library with matplotlib support.,99.0,27,False,2021-04-23 16:45:56.000000,0.19.0.post1,22.0,cartopy,conda-forge/cartopy,,,,2183.0,1837.0,https://pypi.org/project/cartopy,2021-04-23 16:49:22.000000,346.0,61338.0,87884.0,https://anaconda.org/conda-forge/cartopy,2021-05-21 06:58:00.865000,1725540.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n249,PyVista,pyvista/pyvista,,data-viz,https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000000,2021-08-26 12:54:17.000000,2021-08-26 09:38:19.000000,172,151.0,401.0,897.0,2250.0,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,58.0,27,True,2021-06-23 21:59:31.000000,0.31.3,47.0,pyvista,conda-forge/pyvista,,,['jupyter'],447.0,421.0,https://pypi.org/project/pyvista,2021-06-23 21:59:31.000000,26.0,20974.0,25002.0,https://anaconda.org/conda-forge/pyvista,2021-06-24 01:50:57.553000,108674.0,,,,,2.0,209.0,,,,,,,,,,,,,,,,,,,,\n250,Nilearn,nilearn/nilearn,,medical-data,https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000000,2021-08-26 14:16:55.000000,2021-08-26 12:10:26.000000,437,261.0,1242.0,764.0,,Machine learning for NeuroImaging in Python.,174.0,27,True,2021-06-16 14:57:54.000000,0.8.0,37.0,nilearn,conda-forge/nilearn,,,['sklearn'],1473.0,1171.0,https://pypi.org/project/nilearn,2021-06-16 14:52:34.000000,302.0,61389.0,63186.0,https://anaconda.org/conda-forge/nilearn,2021-06-16 19:16:17.369000,112967.0,,,,,2.0,8.0,,,,,,,,,,,,,,,,,,,,\n251,Magenta,magenta/magenta,,audio,https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40.000000,2021-08-12 18:40:53.000000,2021-06-30 21:44:13.000000,3470,315.0,566.0,16909.0,,Magenta: Music and Art Generation with Machine Intelligence.,149.0,26,True,2020-11-12 19:17:18.000000,2.1.3,66.0,magenta,,,,['tensorflow'],380.0,310.0,https://pypi.org/project/magenta,2020-11-12 19:17:18.000000,70.0,4598.0,4598.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n252,MMDetection,open-mmlab/mmdetection,,image,https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000000,2021-08-26 14:11:56.000000,2021-08-25 13:02:43.000000,5616,366.0,3972.0,16169.0,1720.0,OpenMMLab Detection Toolbox and Benchmark.,250.0,26,True,2021-08-11 03:59:21.000000,2.15.1,16.0,,,,,['pytorch'],106.0,106.0,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n253,Turi Create,apple/turicreate,,ml-frameworks,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04.000000,2021-08-16 18:50:46.000000,2021-08-16 18:50:46.000000,1101,483.0,1276.0,10389.0,,Turi Create simplifies the development of custom machine learning models.,82.0,26,True,2020-09-30 22:51:40.000000,6.4.1,31.0,turicreate,,,,,297.0,263.0,https://pypi.org/project/turicreate,2020-09-30 22:51:40.000000,34.0,25647.0,25755.0,,,,,,,,3.0,4784.0,,,,,,,,,,,,,,,,,,,,\n254,Milvus,milvus-io/milvus,,nn-search,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000000,2021-08-26 11:26:08.000000,2021-08-26 06:17:54.000000,1012,324.0,2886.0,7546.0,7729.0,An open-source vector database for embedding similarity search and AI applications.,151.0,26,True,2021-06-16 06:50:46.000000,1.1.1,53.0,pymilvus,,milvusdb/milvus,,,6.0,,https://pypi.org/project/pymilvus,2021-08-11 10:58:45.000000,6.0,29030.0,48878.0,,,,https://hub.docker.com/r/milvusdb/milvus,2021-08-11 11:29:54.612216,14.0,456511.0,2.0,,,,,,,,,,,,,,,,,,,,,\n255,pysc2,deepmind/pysc2,,others,https://github.com/deepmind/pysc2,https://github.com/deepmind/pysc2,Apache-2.0,2017-07-25 18:16:57.000000,2021-08-13 05:11:09.000000,2019-09-27 15:23:22.000000,1112,60.0,203.0,7323.0,513.0,StarCraft II Learning Environment.,34.0,26,False,2019-09-27 15:48:01.000000,3.0.0,7.0,pysc2,,,,,318.0,278.0,https://pypi.org/project/pysc2,2019-09-27 15:48:01.000000,40.0,1316.0,1882.0,,,,,,,,2.0,27183.0,,,,,,,,,,,,,,,,,,,,\n256,backtrader,mementum/backtrader,,financial-data,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52.000000,2021-08-21 10:44:36.000000,2021-07-17 22:17:12.000000,2202,36.0,,7145.0,2385.0,Python Backtesting library for trading strategies.,52.0,26,False,,,155.0,backtrader,,,,,779.0,709.0,https://pypi.org/project/backtrader,2020-07-03 13:02:14.000000,70.0,34594.0,34594.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n257,TensorLayer,tensorlayer/tensorlayer,,reinforcement-learning,https://github.com/tensorlayer/tensorlayer,https://github.com/tensorlayer/tensorlayer,Apache-2.0,2016-06-07 15:55:16.000000,2021-08-19 06:16:46.000000,2021-08-10 09:19:11.000000,1487,20.0,434.0,6696.0,3348.0,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,131.0,26,True,2021-01-06 07:16:21.000000,2.2.4,82.0,tensorlayer,,,,['tensorflow'],68.0,,https://pypi.org/project/tensorlayer,2020-06-19 00:53:37.000000,68.0,2731.0,2752.0,,,,,,,,2.0,1285.0,,,,,,,,,,,,,,,,,,,,\n258,Facets Overview,pair-code/facets,,data-viz,https://github.com/PAIR-code/facets,https://github.com/PAIR-code/facets,Apache-2.0,2017-07-07 14:03:03.000000,2021-08-16 22:05:29.000000,2021-05-06 12:01:05.000000,834,76.0,76.0,6664.0,264.0,Visualizations for machine learning datasets.,28.0,26,True,2019-07-24 15:57:06.000000,1.0.0,4.0,facets-overview,,,,['jupyter'],68.0,62.0,https://pypi.org/project/facets-overview,2019-07-24 15:57:06.000000,6.0,124621.0,124621.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n259,DeepSpeed,microsoft/DeepSpeed,,distributed-ml,https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,MIT,2020-01-23 18:35:18.000000,2021-08-26 11:05:12.000000,2021-08-25 20:01:07.000000,554,290.0,304.0,5417.0,657.0,\"DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.\",61.0,26,True,2021-08-17 05:29:19.000000,0.5.0,31.0,deepspeed,,deepspeed/deepspeed,,['pytorch'],77.0,77.0,https://pypi.org/project/deepspeed,2021-08-17 05:25:44.000000,0.0,53644.0,54143.0,,,,https://hub.docker.com/r/deepspeed/deepspeed,2021-05-05 21:39:11.981563,2.0,9490.0,2.0,,,,,,,,,,,,,,,,,,,,,\n260,OCRmyPDF,jbarlow83/OCRmyPDF,,ocr,https://github.com/jbarlow83/OCRmyPDF,https://github.com/jbarlow83/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000000,2021-08-22 01:06:18.000000,2021-08-22 01:06:14.000000,465,90.0,643.0,4718.0,3004.0,\"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.\",55.0,26,True,2021-08-04 10:45:27.000000,12.3.2,178.0,ocrmypdf,,,,,12.0,,https://pypi.org/project/ocrmypdf,2021-08-04 10:45:27.000000,12.0,19193.0,19193.0,,,,,,,,2.0,,,,,,,,,,ocrmypdf,ocrmypdf,,,,,,,,,,\n261,sktime,alan-turing-institute/sktime,,time-series-data,https://github.com/alan-turing-institute/sktime,https://github.com/alan-turing-institute/sktime,BSD-3-Clause,2018-11-06 15:08:24.000000,2021-08-26 14:48:05.000000,2021-08-26 12:04:41.000000,612,240.0,403.0,4381.0,,A unified framework for machine learning with time series.,107.0,26,True,2021-07-13 13:29:02.000000,0.7.0,16.0,sktime,,,,['sklearn'],225.0,225.0,https://pypi.org/project/sktime,2021-07-12 19:18:54.000000,0.0,115653.0,115655.0,,,,,,,,2.0,64.0,,,,,,,,,,,,,,,,,,,,\n262,AutoGluon,awslabs/autogluon,,hyperopt,https://github.com/awslabs/autogluon,https://github.com/awslabs/autogluon,Apache-2.0,2019-07-29 18:51:24.000000,2021-08-26 09:04:15.000000,2021-08-25 19:19:31.000000,465,108.0,423.0,3542.0,662.0,\"AutoGluon: AutoML for Text, Image, and Tabular Data.\",60.0,26,True,2021-08-15 02:43:16.000000,0.3.0,520.0,autogluon,,,,['mxnet'],62.0,62.0,https://pypi.org/project/autogluon,2021-08-26 09:04:15.000000,0.0,17436.0,17436.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n263,Activeloop,activeloopai/Hub,,data-pipelines,https://github.com/activeloopai/Hub,https://github.com/activeloopai/Hub,MPL-2.0,2019-08-09 06:17:59.000000,2021-08-26 12:54:47.000000,2021-08-26 12:41:54.000000,267,32.0,252.0,3485.0,2201.0,Fastest dataset optimization and management for machine and deep learning. Stream data real-time & version-control it...,80.0,26,True,2021-08-11 21:00:46.000000,2.0.7,110.0,hub,,,,,183.0,131.0,https://pypi.org/project/hub,2021-08-16 19:58:08.000000,52.0,5563.0,5563.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n264,Alpha Vantage,RomelTorres/alpha_vantage,,financial-data,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00.000000,2021-06-15 14:33:06.000000,2021-06-14 05:10:42.000000,610,17.0,230.0,3465.0,497.0,A python wrapper for Alpha Vantage API for financial data.,39.0,26,True,2020-12-21 02:37:29.000000,2.3.1,28.0,alpha_vantage,,,,,202.0,,https://pypi.org/project/alpha_vantage,2018-08-26 18:55:11.000000,202.0,19829.0,19829.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n265,Stable Baselines,hill-a/stable-baselines,,reinforcement-learning,https://github.com/hill-a/stable-baselines,https://github.com/hill-a/stable-baselines,MIT,2018-07-02 14:28:59.000000,2021-08-25 09:25:32.000000,2021-08-25 09:25:32.000000,631,128.0,789.0,3248.0,838.0,\"A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.\",112.0,26,True,2021-04-06 12:37:09.000000,2.10.2,31.0,stable-baselines,,,,,50.0,,https://pypi.org/project/stable-baselines,2021-04-06 12:37:09.000000,50.0,8931.0,8931.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n266,pytorch-summary,sksq96/pytorch-summary,,pytorch-utils,https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04.000000,2021-06-20 09:40:21.000000,2021-05-10 18:34:53.000000,365,118.0,37.0,3215.0,57.0,Model summary in PyTorch similar to `model.summary()` in Keras.,11.0,26,True,2018-09-26 05:07:28.000000,1.5.1,12.0,torchsummary,,,,['pytorch'],3300.0,3182.0,https://pypi.org/project/torchsummary,2018-09-26 05:07:28.000000,118.0,89766.0,89766.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n267,DoWhy,Microsoft/dowhy,,interpretability,https://github.com/microsoft/dowhy,https://github.com/microsoft/dowhy,MIT,2018-05-31 13:07:04.000000,2021-08-25 11:16:49.000000,2021-08-02 04:54:59.000000,465,33.0,101.0,3162.0,459.0,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,44.0,26,True,2021-03-03 03:44:46.000000,0.6,6.0,dowhy,conda-forge/dowhy,,,,58.0,58.0,https://pypi.org/project/dowhy,2021-03-03 03:45:16.000000,0.0,62666.0,62870.0,https://anaconda.org/conda-forge/dowhy,2021-04-28 19:20:04.698000,3068.0,,,,,2.0,24.0,,,,,,,,,,,,,,,,,,,,\n268,vaderSentiment,cjhutto/vaderSentiment,,nlp,https://github.com/cjhutto/vaderSentiment,https://github.com/cjhutto/vaderSentiment,MIT,2014-11-17 16:31:45.000000,2021-06-15 23:12:57.000000,2021-03-15 18:43:06.000000,797,33.0,74.0,3121.0,127.0,VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based..,10.0,26,True,2020-05-22 15:07:00.000000,3.3.2,15.0,vadersentiment,,,,,3234.0,2948.0,https://pypi.org/project/vadersentiment,2020-05-22 15:07:00.000000,286.0,138841.0,138841.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n269,nevergrad,facebookresearch/nevergrad,,hyperopt,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000000,2021-08-26 14:09:27.000000,2021-08-25 15:52:10.000000,293,99.0,139.0,3106.0,880.0,A Python toolbox for performing gradient-free optimization.,44.0,26,True,2021-01-28 12:05:40.000000,0.4.3,33.0,nevergrad,conda-forge/nevergrad,,,,226.0,212.0,https://pypi.org/project/nevergrad,2021-08-23 12:44:53.000000,14.0,33075.0,33890.0,https://anaconda.org/conda-forge/nevergrad,2021-06-14 12:44:22.518000,13040.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n270,TensorForce,tensorforce/tensorforce,,reinforcement-learning,https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22.000000,2021-08-25 21:48:38.000000,2021-08-25 21:48:22.000000,510,6.0,590.0,3001.0,2079.0,Tensorforce: a TensorFlow library for applied reinforcement learning.,80.0,26,True,2021-06-05 10:34:19.000000,0.6.4,13.0,tensorforce,,,,['tensorflow'],46.0,,https://pypi.org/project/tensorforce,2019-09-07 13:56:18.000000,46.0,1463.0,1463.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n271,VisPy,vispy/vispy,,data-viz,https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22.000000,2021-08-26 13:40:46.000000,2021-08-25 14:34:24.000000,569,343.0,904.0,2715.0,,High-performance interactive 2D/3D data visualization library.,160.0,26,True,2021-08-20 12:21:31.000000,0.8.0,21.0,vispy,conda-forge/vispy,,,['jupyter'],684.0,562.0,https://pypi.org/project/vispy,2021-08-20 12:21:03.000000,122.0,31467.0,35310.0,https://anaconda.org/conda-forge/vispy,2021-08-20 19:49:32.753000,174016.0,,,,,3.0,,,vispy,https://www.npmjs.com/package/vispy,2020-03-15 14:39:41.516000,,61.0,,,,,,,,,,,,,,\n272,implicit,benfred/implicit,,recommender-systems,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000000,2021-05-14 05:51:51.000000,2021-05-08 16:08:26.000000,490,84.0,269.0,2453.0,309.0,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,29.0,26,True,2020-09-15 22:01:38.000000,0.4.4,34.0,implicit,conda-forge/implicit,,,,502.0,458.0,https://pypi.org/project/implicit,2020-09-15 22:01:38.000000,44.0,155109.0,161823.0,https://anaconda.org/conda-forge/implicit,2020-11-24 06:44:37.378000,288715.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n273,haystack,deepset-ai/haystack,,nlp,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000000,2021-08-26 13:55:22.000000,2021-08-24 13:56:11.000000,450,112.0,680.0,2262.0,733.0,End-to-end Python framework for building natural language search interfaces to data. Leverages Transformers and the..,61.0,26,True,2021-06-21 16:50:42.000000,0.9.0,34.0,haystack,,,,,240.0,74.0,https://pypi.org/project/haystack,2017-07-03 04:44:52.000000,166.0,1830.0,1830.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n274,deepface,serengil/deepface,,image,https://github.com/serengil/deepface,https://github.com/serengil/deepface,MIT,2020-02-08 20:42:28.000000,2021-08-25 12:36:43.000000,2021-08-23 13:46:52.000000,473,,303.0,2205.0,621.0,\"DeepFace: A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for..\",16.0,26,True,2021-08-20 15:03:44.000000,0.0.68,67.0,deepface,,,,,233.0,233.0,https://pypi.org/project/deepface,2021-08-20 15:03:44.000000,0.0,12397.0,12397.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n275,aubio,aubio/aubio,,audio,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44.000000,2021-07-27 23:02:36.000000,2021-01-19 09:51:49.000000,314,117.0,175.0,2185.0,4111.0,a library for audio and music analysis.,24.0,26,False,2019-02-27 09:00:43.000000,0.4.9,10.0,aubio,conda-forge/aubio,,,,281.0,245.0,https://pypi.org/project/aubio,2019-02-08 11:21:02.000000,36.0,2147.0,10726.0,https://anaconda.org/conda-forge/aubio,2021-01-19 16:59:52.641000,454707.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n276,scikit-plot,reiinakano/scikit-plot,,interpretability,https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59.000000,2021-08-11 23:58:11.000000,2018-08-19 12:37:47.000000,251,21.0,39.0,2127.0,130.0,An intuitive library to add plotting functionality to scikit-learn objects.,13.0,26,False,2018-08-19 12:21:01.000000,0.3.7,27.0,scikit-plot,conda-forge/scikit-plot,,,['sklearn'],1287.0,1233.0,https://pypi.org/project/scikit-plot,2018-08-19 12:18:46.000000,54.0,321786.0,323753.0,https://anaconda.org/conda-forge/scikit-plot,2019-06-05 14:23:59.043000,96386.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n277,StellarGraph,stellargraph/stellargraph,,graph,https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51.000000,2021-08-17 14:04:47.000000,2021-02-18 01:03:15.000000,304,249.0,720.0,2072.0,2515.0,StellarGraph - Machine Learning on Graphs.,32.0,26,True,2020-06-30 05:15:21.000000,1.2.1,25.0,stellargraph,,,,['tensorflow'],87.0,83.0,https://pypi.org/project/stellargraph,2020-06-30 05:10:43.000000,4.0,13534.0,13534.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n278,pytorch-optimizer,jettify/pytorch-optimizer,,pytorch-utils,https://github.com/jettify/pytorch-optimizer,https://github.com/jettify/pytorch-optimizer,Apache-2.0,2020-01-03 03:16:39.000000,2021-08-23 10:06:25.000000,2021-07-06 02:10:38.000000,191,18.0,26.0,2038.0,403.0,torch-optimizer -- collection of optimizers for Pytorch.,21.0,26,True,2021-01-01 16:51:15.000000,0.1.0,19.0,torch_optimizer,,,,['pytorch'],294.0,294.0,https://pypi.org/project/torch_optimizer,2021-01-01 16:51:15.000000,0.0,50297.0,50297.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n279,TextDistance,life4/textdistance,,nlp,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10.000000,2021-07-29 09:43:38.000000,2021-07-29 09:43:38.000000,166,9.0,,2028.0,311.0,\"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..\",11.0,26,True,2021-01-29 09:04:46.000000,.4.2.1,21.0,textdistance,conda-forge/textdistance,,,,942.0,914.0,https://pypi.org/project/textdistance,2021-01-29 09:03:27.000000,28.0,210062.0,211335.0,https://anaconda.org/conda-forge/textdistance,2021-01-29 15:41:57.288000,49574.0,,,,,2.0,124.0,,,,,,,,,,,,,,,,,,,,\n280,Foolbox,bethgelab/foolbox,,adversarial,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48.000000,2021-08-25 14:47:59.000000,2021-06-05 09:38:18.000000,358,58.0,269.0,1993.0,1648.0,\"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.\",32.0,26,True,2021-02-23 07:09:34.000000,3.3.1,68.0,foolbox,,,,,244.0,226.0,https://pypi.org/project/foolbox,2021-02-23 07:07:53.000000,18.0,1738.0,1738.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n281,PyFunctional,EntilZha/PyFunctional,,data-pipelines,https://github.com/EntilZha/PyFunctional,https://github.com/EntilZha/PyFunctional,MIT,2015-02-05 17:17:51.000000,2021-08-20 00:43:24.000000,2021-07-06 23:48:13.000000,104,3.0,118.0,1885.0,519.0,Python library for creating data pipelines with chain functional programming.,24.0,26,True,2021-01-12 19:21:07.000000,1.4.3,14.0,pyfunctional,,,,,328.0,328.0,https://pypi.org/project/pyfunctional,2021-01-12 19:14:48.000000,0.0,72065.0,72065.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n282,langid,saffsd/langid.py,,nlp,https://github.com/saffsd/langid.py,https://github.com/saffsd/langid.py,BSD-3-Clause,2011-04-29 00:16:56.000000,2020-01-01 10:49:30.000000,2017-07-15 02:49:17.000000,270,25.0,45.0,1839.0,242.0,Stand-alone language identification system.,9.0,26,False,2016-04-05 22:34:15.000000,1.1.6,8.0,langid,,,,,1024.0,774.0,https://pypi.org/project/langid,2016-04-05 22:34:15.000000,250.0,356091.0,356091.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n283,tslearn,tslearn-team/tslearn,,time-series-data,https://github.com/tslearn-team/tslearn,https://github.com/tslearn-team/tslearn,BSD-2-Clause,2017-05-04 13:08:13.000000,2021-08-17 07:16:40.000000,2021-08-17 07:16:39.000000,240,68.0,173.0,1774.0,,A machine learning toolkit dedicated to time-series data.,32.0,26,True,2021-08-16 07:09:52.000000,0.5.2,94.0,tslearn,conda-forge/tslearn,,,['sklearn'],303.0,281.0,https://pypi.org/project/tslearn,2021-08-16 07:29:50.000000,22.0,168757.0,174417.0,https://anaconda.org/conda-forge/tslearn,2021-08-16 11:07:26.939000,232075.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n284,swifter,jmcarpenter2/swifter,,data-containers,https://github.com/jmcarpenter2/swifter,https://github.com/jmcarpenter2/swifter,MIT,2018-04-07 21:37:19.000000,2021-08-23 20:06:26.000000,2021-06-25 21:30:09.000000,84,21.0,82.0,1744.0,427.0,A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner.,14.0,26,True,2021-06-25 21:31:10.000000,1.0.9,73.0,swifter,conda-forge/swifter,,,['pandas'],405.0,373.0,https://pypi.org/project/swifter,2021-06-25 21:31:10.000000,32.0,90218.0,94344.0,https://anaconda.org/conda-forge/swifter,2021-06-26 01:03:15.021000,115532.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n285,category_encoders,scikit-learn-contrib/category_encoders,,sklearn-utils,https://github.com/scikit-learn-contrib/category_encoders,https://github.com/scikit-learn-contrib/category_encoders,BSD-3-Clause,2015-11-29 19:32:37.000000,2021-06-22 21:39:16.000000,2020-07-31 10:43:44.000000,318,78.0,138.0,1718.0,671.0,A library of sklearn compatible categorical variable encoders.,37.0,26,False,2020-04-29 02:09:51.000000,2.2.2,19.0,category_encoders,conda-forge/category_encoders,,,['sklearn'],23.0,,https://pypi.org/project/category_encoders,2018-10-14 14:15:54.000000,23.0,684765.0,686708.0,https://anaconda.org/conda-forge/category_encoders,2020-04-29 22:37:35.948000,118575.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n286,HyperTools,ContextLab/hypertools,,data-viz,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25.000000,2021-07-19 16:15:16.000000,2021-07-19 16:15:16.000000,154,67.0,122.0,1662.0,1599.0,A Python toolbox for gaining geometric insights into high-dimensional data.,21.0,26,True,2021-06-15 19:22:37.000000,0.7.0,20.0,hypertools,,,,,146.0,137.0,https://pypi.org/project/hypertools,2021-06-15 19:22:37.000000,9.0,2345.0,2345.0,,,,,,,,3.0,2.0,,,,,,,,,,,,,,,,,,,,\n287,hnswlib,nmslib/hnswlib,,nn-search,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000000,2021-07-29 14:22:16.000000,2021-06-30 05:17:40.000000,299,103.0,116.0,1662.0,315.0,Header-only C++/python library for fast approximate nearest neighbors.,46.0,26,True,2021-06-30 22:24:23.000000,0.5.2,6.0,hnswlib,,,,,151.0,149.0,https://pypi.org/project/hnswlib,2021-06-30 22:24:23.000000,2.0,41164.0,41164.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n288,dtreeviz,parrt/dtreeviz,,interpretability,https://github.com/parrt/dtreeviz,https://github.com/parrt/dtreeviz,MIT,2018-08-13 21:45:15.000000,2021-08-25 20:15:33.000000,2021-08-25 20:15:33.000000,211,20.0,83.0,1639.0,367.0,A python library for decision tree visualization and model interpretation.,16.0,26,True,2021-03-16 21:49:18.000000,1.2,23.0,dtreeviz,,,,,202.0,198.0,https://pypi.org/project/dtreeviz,2021-04-05 19:35:08.000000,4.0,159584.0,159584.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n289,mtcnn,ipazc/mtcnn,,image,https://github.com/ipazc/mtcnn,https://github.com/ipazc/mtcnn,MIT,2018-01-05 04:08:32.000000,2021-07-09 12:30:42.000000,2021-07-09 11:06:18.000000,423,62.0,37.0,1599.0,56.0,\"MTCNN face detection implementation for TensorFlow, as a PIP package.\",15.0,26,True,2021-07-09 11:16:39.000000,0.1.1,11.0,mtcnn,,,,['tensorflow'],1482.0,1440.0,https://pypi.org/project/mtcnn,2021-07-09 11:16:39.000000,42.0,21238.0,21238.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n290,Ax,facebook/Ax,,hyperopt,https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000000,2021-08-26 08:08:11.000000,2021-08-25 19:48:44.000000,167,37.0,255.0,1592.0,,Adaptive Experimentation Platform.,100.0,26,True,2021-08-11 00:08:25.000000,0.2.1,23.0,ax-platform,,,,['pytorch'],198.0,194.0,https://pypi.org/project/ax-platform,2021-08-11 00:08:25.000000,4.0,63106.0,63106.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n291,TextAttack,QData/TextAttack,,adversarial,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000000,2021-08-25 15:19:46.000000,2021-08-21 18:54:08.000000,195,44.0,101.0,1590.0,2174.0,\"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP..\",40.0,26,True,2021-08-03 02:33:46.000000,0.3.3,41.0,textattack,,,,,28.0,28.0,https://pypi.org/project/textattack,2021-08-03 02:33:46.000000,0.0,13026.0,13026.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n292,datasketch,ekzhu/datasketch,,data-containers,https://github.com/ekzhu/datasketch,https://github.com/ekzhu/datasketch,MIT,2015-03-20 01:21:46.000000,2021-06-02 06:52:35.000000,2021-06-02 06:48:06.000000,215,23.0,95.0,1565.0,195.0,\"MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble.\",18.0,26,True,2020-12-23 21:01:43.000000,1.5.3,75.0,datasketch,,,,,393.0,307.0,https://pypi.org/project/datasketch,2020-12-23 21:01:43.000000,86.0,332912.0,332912.0,,,,,,,,3.0,18.0,,,,,,,,,,,,,,,,,,,,\n293,Elephas,maxpumperla/elephas,,distributed-ml,https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19.000000,2021-08-17 01:14:43.000000,2021-08-17 01:01:38.000000,290,25.0,127.0,1495.0,501.0,Distributed Deep learning with Keras & Spark.,27.0,26,True,2021-08-17 01:14:44.000000,3.0.0,22.0,elephas,,,,\"['keras', 'spark']\",49.0,46.0,https://pypi.org/project/elephas,2021-08-17 00:36:20.000000,3.0,23538.0,23538.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n294,torchaudio,pytorch/audio,,audio,https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000000,2021-08-26 13:57:18.000000,2021-08-26 07:40:08.000000,333,155.0,396.0,1401.0,943.0,\"Data manipulation and transformation for audio signal processing, powered by PyTorch.\",137.0,26,True,2021-06-15 15:32:33.000000,0.9.0,15.0,torchaudio,,,,['pytorch'],18.0,,https://pypi.org/project/torchaudio,2021-06-15 15:29:03.000000,18.0,266636.0,266636.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n295,petastorm,uber/petastorm,,distributed-ml,https://github.com/uber/petastorm,https://github.com/uber/petastorm,Apache-2.0,2018-06-15 23:15:29.000000,2021-08-25 15:53:05.000000,2021-08-25 15:53:04.000000,202,138.0,128.0,1211.0,660.0,Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets..,40.0,26,True,2021-08-03 05:30:19.000000,0.11.2,73.0,petastorm,,,,,39.0,39.0,https://pypi.org/project/petastorm,2021-08-03 05:31:05.000000,0.0,146353.0,146361.0,,,,,,,,2.0,308.0,,,,,,,,,,,,,,,,,,,,\n296,TabPy,tableau/TabPy,,others,https://github.com/tableau/TabPy,https://github.com/tableau/TabPy,MIT,2016-09-27 21:26:03.000000,2021-08-25 16:46:08.000000,2021-08-12 13:06:39.000000,422,17.0,267.0,1118.0,836.0,Execute Python code on the fly and display results in Tableau visualizations:.,43.0,26,True,2021-08-20 14:18:35.000000,2.4.0,25.0,tabpy,,,,,71.0,71.0,https://pypi.org/project/tabpy,2021-08-20 14:18:35.000000,0.0,14258.0,14258.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n297,snakemake,snakemake/snakemake,,ml-experiments,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867000,2021-08-26 08:37:38.000000,2021-08-23 10:38:35.000000,243,448.0,264.0,1064.0,,\"This is the development home of the workflow management system Snakemake. For general information, see.\",214.0,26,True,2021-08-12 10:23:29.000000,6.7.0,183.0,snakemake,bioconda/snakemake,,,,1185.0,897.0,https://pypi.org/project/snakemake,2021-08-12 10:23:44.000000,288.0,16726.0,21398.0,https://anaconda.org/bioconda/snakemake,2021-08-12 12:51:55.570000,327045.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n298,ktrain,amaiya/ktrain,,ml-frameworks,https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39.000000,2021-07-28 23:24:27.000000,2021-07-28 23:23:30.000000,216,6.0,355.0,883.0,2428.0,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,12.0,26,True,2021-07-28 23:24:27.000000,0.27.2,156.0,ktrain,,,,['tensorflow'],215.0,213.0,https://pypi.org/project/ktrain,2021-07-28 23:23:21.000000,2.0,26166.0,26166.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n299,pingouin,raphaelvallat/pingouin,,probabilistics,https://github.com/raphaelvallat/pingouin,https://github.com/raphaelvallat/pingouin,GPL-3.0,2018-04-01 01:10:22.000000,2021-08-24 15:14:45.000000,2021-08-24 15:14:26.000000,68,16.0,137.0,781.0,1137.0,Statistical package in Python based on Pandas.,21.0,26,False,2021-08-13 18:00:34.000000,0.4.0,34.0,pingouin,conda-forge/pingouin,,,,306.0,296.0,https://pypi.org/project/pingouin,2021-08-13 17:49:09.000000,10.0,147279.0,148629.0,https://anaconda.org/conda-forge/pingouin,2021-08-17 09:36:27.300000,43206.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n300,Hail,hail-is/hail,,medical-data,https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000000,2021-08-26 14:16:53.000000,2021-08-25 22:31:36.000000,195,55.0,1959.0,739.0,7617.0,Scalable genomic data analysis.,74.0,26,True,2021-07-27 00:59:20.000000,0.2.74,94.0,hail,,,,['spark'],44.0,44.0,https://pypi.org/project/hail,2021-07-27 00:59:24.000000,0.0,16507.0,16507.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n301,CLTK,cltk/cltk,,nlp,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000000,2021-08-25 14:08:06.000000,2021-08-20 04:57:25.000000,301,122.0,383.0,676.0,3582.0,The Classical Language Toolkit.,112.0,26,True,2021-07-18 06:23:30.000000,1.0.17,189.0,cltk,,,,,242.0,174.0,https://pypi.org/project/cltk,2021-08-20 05:00:46.000000,68.0,2020.0,2020.0,,,,,,,,2.0,22.0,,,,,,,,,,,,,,,,,,,,\n302,SMAC3,automl/SMAC3,,hyperopt,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-3-Clause,2016-08-17 10:58:05.000000,2021-08-26 08:15:28.000000,2021-08-06 16:01:42.000000,166,64.0,270.0,605.0,2046.0,Sequential Model-based Algorithm Configuration.,38.0,26,True,2021-08-06 16:03:25.000000,1.0.1,32.0,smac,,,,,58.0,,https://pypi.org/project/smac,2021-08-06 16:07:15.000000,58.0,26526.0,26526.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n303,SALib,SALib/SALib,,probabilistics,https://github.com/SALib/SALib,https://github.com/SALib/SALib,MIT,2013-05-30 13:38:10.000000,2021-08-22 02:59:46.000000,2021-08-14 01:10:17.000000,158,47.0,208.0,508.0,965.0,\"Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.\",32.0,26,True,2021-08-12 15:10:01.000000,1.4.4,38.0,salib,conda-forge/salib,,,,44.0,,https://pypi.org/project/salib,2021-08-12 15:10:01.000000,44.0,78942.0,80143.0,https://anaconda.org/conda-forge/salib,2021-08-12 18:36:23.945000,68465.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n304,PyNNDescent,lmcinnes/pynndescent,,nn-search,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000000,2021-07-27 17:39:54.000000,2021-07-27 17:39:44.000000,60,33.0,42.0,472.0,515.0,A Python nearest neighbor descent for approximate nearest neighbors.,15.0,26,True,2021-07-06 16:06:28.000000,0.5.4,23.0,pynndescent,conda-forge/pynndescent,,,,729.0,723.0,https://pypi.org/project/pynndescent,2021-07-06 16:06:28.000000,6.0,649532.0,658389.0,https://anaconda.org/conda-forge/pynndescent,2021-07-06 21:40:43.689000,230305.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n305,mpi4py,mpi4py/mpi4py,,distributed-ml,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-3-Clause,2013-09-05 14:44:25.000000,2021-08-22 08:54:48.000000,2021-08-22 08:54:43.000000,68,6.0,31.0,441.0,2334.0,Python bindings for MPI.,17.0,26,True,2021-08-14 12:17:40.000000,3.1.1,15.0,mpi4py,conda-forge/mpi4py,,,,752.0,,https://pypi.org/project/mpi4py,2021-08-14 12:09:23.000000,752.0,125289.0,137913.0,https://anaconda.org/conda-forge/mpi4py,2021-08-15 10:17:15.752000,738325.0,,,,,2.0,1451.0,,,,,,,,,,,,,,,,,,,,\n306,audioread,beetbox/audioread,,audio,https://github.com/beetbox/audioread,https://github.com/beetbox/audioread,MIT,2011-11-08 19:53:18.000000,2021-03-16 02:44:53.632000,2020-10-20 11:22:05.000000,83,31.0,44.0,368.0,232.0,cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python.,20.0,26,True,2020-10-20 11:23:09.000000,2.1.9,25.0,audioread,conda-forge/audioread,,,,6552.0,5966.0,https://pypi.org/project/audioread,2020-10-20 11:23:09.000000,586.0,560079.0,565496.0,https://anaconda.org/conda-forge/audioread,2021-03-16 02:44:53.632000,330481.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n307,TensorFlow Cloud,tensorflow/cloud,,tensorflow-utils,https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59.000000,2021-08-24 12:59:13.000000,2021-08-24 12:57:08.000000,53,49.0,26.0,304.0,564.0,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,24.0,26,True,2021-06-17 01:15:10.000000,0.1.16,19.0,tensorflow-cloud,,,,['tensorflow'],92.0,92.0,https://pypi.org/project/tensorflow-cloud,2021-06-17 01:15:10.000000,0.0,1614915.0,1614915.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n308,Cython BLIS,explosion/cython-blis,,others,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16.000000,2021-03-15 19:42:45.000000,2021-03-15 19:42:37.000000,26,6.0,16.0,171.0,526.0,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,9.0,26,False,2020-12-07 08:56:44.000000,0.7.4,35.0,blis,conda-forge/cython-blis,,,,12843.0,12453.0,https://pypi.org/project/blis,2020-12-07 08:56:44.000000,390.0,2433452.0,2467561.0,https://anaconda.org/conda-forge/cython-blis,2021-01-31 09:13:47.685000,989162.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n309,DeepSpeech,mozilla/DeepSpeech,,audio,https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53.000000,2021-07-30 19:01:32.000000,,3232,109.0,,17795.0,,\"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..\",93.0,25,True,2020-12-10 17:22:09.000000,0.9.3,100.0,deepspeech,,,,['tensorflow'],58.0,,https://pypi.org/project/deepspeech,2020-12-19 10:05:12.000000,58.0,12769.0,12769.0,,,,,,,,2.0,,,,,,,,-5.0,,,,,,,,,,,,,\n310,spleeter,deezer/spleeter,,audio,https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000000,2021-08-24 15:42:03.000000,2021-06-02 14:43:25.000000,1810,96.0,480.0,17271.0,463.0,Deezer source separation library including pretrained models.,17.0,25,True,2021-04-15 15:05:07.000000,2.2.2,33.0,spleeter,conda-forge/spleeter,,,['tensorflow'],0.0,,https://pypi.org/project/spleeter,2021-04-15 15:05:07.000000,0.0,8814.0,65206.0,https://anaconda.org/conda-forge/spleeter,2020-06-30 14:33:43.220000,57769.0,,,,,2.0,1180134.0,,,,,,,,,,,,,,,,,,,,\n311,Ludwig,ludwig-ai/ludwig,,ml-frameworks,https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000000,2021-08-26 13:47:05.000000,2021-08-24 02:04:53.000000,915,121.0,444.0,7851.0,2192.0,Ludwig is a toolbox that allows to train and evaluate deep learning models without the need to write code.,94.0,25,True,2021-06-15 04:22:19.000000,0.4,19.0,ludwig,,,,['tensorflow'],106.0,94.0,https://pypi.org/project/ludwig,2021-06-15 04:19:55.000000,12.0,2234.0,2234.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n312,PaddleHub,PaddlePaddle/PaddleHub,,others,https://github.com/PaddlePaddle/PaddleHub,https://github.com/PaddlePaddle/PaddleHub,Apache-2.0,2018-12-21 06:00:48.000000,2021-08-26 12:42:12.000000,2021-08-26 04:00:23.000000,1357,304.0,605.0,6863.0,,\"Awesome pre-trained models toolkit based on PaddlePaddle.(300+ models including Image, Text, Audio and Video with Easy..\",44.0,25,True,2021-04-27 09:56:48.000000,2.1.0,45.0,paddlehub,,,,['paddle'],440.0,440.0,https://pypi.org/project/paddlehub,2021-04-27 09:56:48.000000,0.0,6898.0,6917.0,,,,,,,,2.0,551.0,,,,,,,,,,,,,,,,,,,,\n313,Vaex,vaexio/vaex,,data-containers,https://github.com/vaexio/vaex,https://github.com/vaexio/vaex,MIT,2014-09-27 09:44:42.000000,2021-08-26 07:34:06.000000,2021-08-25 13:52:43.000000,505,334.0,528.0,6517.0,3189.0,\"Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualize and explore big tabular data at a billion..\",51.0,25,True,2021-08-13 14:45:38.000000,4.4.0,54.0,vaex,conda-forge/vaex,,,,4.0,,https://pypi.org/project/vaex,2021-08-13 14:45:38.000000,4.0,21433.0,23388.0,https://anaconda.org/conda-forge/vaex,2021-06-18 07:36:59.502000,113304.0,,,,,3.0,218.0,,,,,,,,,,,,,,,,,,,,\n314,Trax,google/trax,,others,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000000,2021-08-24 21:46:42.000000,2021-08-24 21:44:58.000000,630,77.0,118.0,6405.0,1553.0,Trax Deep Learning with Clear Code and Speed.,71.0,25,True,2021-05-21 19:54:43.000000,1.3.9,22.0,trax,,,,,33.0,33.0,https://pypi.org/project/trax,2021-05-21 19:54:03.000000,,4188.0,4188.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n315,PyText,facebookresearch/pytext,,nlp,https://github.com/facebookresearch/pytext,https://github.com/facebookresearch/pytext,BSD-3-Clause,2018-07-31 23:40:46.000000,2021-08-26 05:52:08.000000,2021-08-26 05:52:06.000000,804,145.0,74.0,6232.0,1634.0,A natural language modeling framework based on PyTorch.,203.0,25,True,2020-06-08 23:30:58.000000,0.3.3,13.0,pytext-nlp,,,,['pytorch'],97.0,96.0,https://pypi.org/project/pytext-nlp,2020-06-08 22:49:33.000000,1.0,426.0,433.0,,,,,,,,2.0,255.0,,,,,,,,,,,,,,,,,,,,\n316,stanza,stanfordnlp/stanza,,nlp,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56.000000,2021-08-26 06:38:00.000000,2021-08-09 23:11:56.000000,729,63.0,497.0,5630.0,,Official Stanford NLP Python Library for Many Human Languages.,39.0,25,True,2021-08-09 23:13:15.000000,1.2.3,13.0,stanza,stanfordnlp/stanza,,,,612.0,608.0,https://pypi.org/project/stanza,2021-08-09 23:13:15.000000,4.0,50499.0,50737.0,https://anaconda.org/stanfordnlp/stanza,2021-08-09 23:52:16.081000,4062.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n317,keras-rl,keras-rl/keras-rl,,reinforcement-learning,https://github.com/keras-rl/keras-rl,https://github.com/keras-rl/keras-rl,MIT,2016-07-02 15:53:12.000000,2020-11-20 07:32:13.000000,2019-11-11 22:14:54.000000,1323,40.0,219.0,5100.0,308.0,Deep Reinforcement Learning for Keras.,40.0,25,False,2018-06-01 07:52:24.000000,0.4.2,8.0,keras-rl,,,,['tensorflow'],614.0,512.0,https://pypi.org/project/keras-rl,2018-06-01 07:52:24.000000,102.0,1628.0,1628.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n318,flashtext,vi3k6i5/flashtext,,nlp,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01.000000,2021-07-26 20:38:52.000000,2020-05-03 07:13:22.000000,556,54.0,49.0,4907.0,108.0,Extract Keywords from sentence or Replace keywords in sentences.,8.0,25,False,,,18.0,flashtext,,,,,586.0,554.0,https://pypi.org/project/flashtext,2018-02-16 05:24:17.000000,32.0,450781.0,450781.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n319,Great Expectations,great-expectations/great_expectations,,data-pipelines,https://github.com/great-expectations/great_expectations,https://github.com/great-expectations/great_expectations,Apache-2.0,2017-09-11 00:18:46.000000,2021-08-26 14:30:51.000000,2021-08-26 12:01:02.000000,646,145.0,839.0,4854.0,,Always know what to expect from your data.,220.0,25,True,2021-08-23 19:49:12.000000,0.13.30,120.0,great_expectations,,,,,6.0,,https://pypi.org/project/great_expectations,2021-08-23 19:41:34.000000,6.0,1255962.0,1255962.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n320,Edward,blei-lab/edward,,probabilistics,https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05.000000,2019-10-22 20:30:48.000000,2018-07-25 01:28:08.000000,767,212.0,327.0,4648.0,1796.0,\"A probabilistic programming language in TensorFlow. Deep generative models, variational inference.\",87.0,25,False,2018-01-22 06:03:37.000000,1.3.5,28.0,edward,,,,['tensorflow'],313.0,235.0,https://pypi.org/project/edward,2018-01-22 06:03:05.000000,78.0,3413.0,3413.0,,,,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,,,\n321,Augmentor,mdbloice/Augmentor,,image,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55.000000,2020-11-10 05:20:01.000000,2020-03-09 11:32:02.000000,818,121.0,67.0,4520.0,511.0,Image augmentation library in Python for machine learning.,22.0,25,False,2020-01-17 11:59:53.000000,0.2.8,20.0,Augmentor,,,,,394.0,352.0,https://pypi.org/project/Augmentor,2020-01-17 11:59:53.000000,42.0,18701.0,18701.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n322,Lucid,tensorflow/lucid,,interpretability,https://github.com/tensorflow/lucid,https://github.com/tensorflow/lucid,Apache-2.0,2018-01-25 17:41:44.000000,2021-07-02 01:49:08.000000,2021-03-19 15:48:33.000000,592,66.0,100.0,4267.0,667.0,A collection of infrastructure and tools for research in neural network interpretability.,40.0,25,True,2021-03-19 16:01:00.000000,0.3.10,17.0,lucid,,,,['tensorflow'],581.0,575.0,https://pypi.org/project/lucid,2021-03-19 16:01:00.000000,6.0,1038.0,1038.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n323,VisualDL,PaddlePaddle/VisualDL,,ml-experiments,https://github.com/PaddlePaddle/VisualDL,https://github.com/PaddlePaddle/VisualDL,Apache-2.0,2017-12-20 12:34:31.000000,2021-08-25 07:42:28.000000,2021-08-25 07:42:28.000000,575,42.0,325.0,4185.0,,Deep Learning Visualization Toolkit.,30.0,25,True,2021-05-24 15:45:53.000000,2.2.0,32.0,visualdl,,,,['paddle'],641.0,631.0,https://pypi.org/project/visualdl,2021-05-23 12:50:12.000000,10.0,34600.0,34610.0,,,,,,,,2.0,142.0,,,,,,,,,,,,,,,,,,,,\n324,mlpack,mlpack/mlpack,,ml-frameworks,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59.000000,2021-08-26 08:12:03.000000,2021-08-24 18:59:42.000000,1348,147.0,1305.0,3769.0,26912.0,mlpack: a scalable C++ machine learning library --.,277.0,25,True,2020-10-28 18:28:47.000000,3.4.2,40.0,mlpack,conda-forge/mlpack,,,,0.0,,https://pypi.org/project/mlpack,2020-10-28 18:28:47.000000,0.0,1014.0,3355.0,https://anaconda.org/conda-forge/mlpack,2021-07-07 23:51:11.771000,86623.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n325,BigDL,intel-analytics/BigDL,,distributed-ml,https://github.com/intel-analytics/BigDL,https://github.com/intel-analytics/BigDL,Apache-2.0,2016-08-29 07:59:50.000000,2021-07-28 08:27:55.000000,2021-07-28 08:27:55.000000,918,190.0,730.0,3765.0,2677.0,BigDL: Distributed Deep Learning Framework for Apache Spark.,74.0,25,True,2021-07-09 12:20:26.000000,0.13.0,42.0,bigdl,,,,,32.0,26.0,https://pypi.org/project/bigdl,2021-07-23 06:53:44.000000,6.0,2150.0,2150.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,com.intel.analytics.bigdl:bigdl-SPARK_2.4,https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4,2021-04-20 01:33:14.000000,0.0,\n326,lightfm,lyst/lightfm,,recommender-systems,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00.000000,2021-03-25 21:33:37.000000,2021-02-07 21:16:06.000000,597,83.0,343.0,3744.0,428.0,\"A Python implementation of LightFM, a hybrid recommendation algorithm.\",44.0,25,True,2020-11-27 19:48:30.000000,1.16,14.0,lightfm,conda-forge/lightfm,,,,593.0,537.0,https://pypi.org/project/lightfm,2020-11-27 19:55:08.000000,56.0,238543.0,240945.0,https://anaconda.org/conda-forge/lightfm,2021-02-07 22:19:58.097000,103312.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n327,TensorFlowOnSpark,yahoo/TensorFlowOnSpark,,distributed-ml,https://github.com/yahoo/TensorFlowOnSpark,https://github.com/yahoo/TensorFlowOnSpark,Apache-2.0,2017-01-20 18:15:57.000000,2021-07-14 16:10:04.000000,2021-07-07 00:06:56.000000,945,12.0,352.0,3703.0,626.0,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,33.0,25,True,2021-05-25 22:25:31.000000,2.2.4,31.0,tensorflowonspark,,,,\"['tensorflow', 'spark']\",5.0,,https://pypi.org/project/tensorflowonspark,2021-05-25 20:44:29.000000,5.0,273266.0,273266.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n328,PML,KevinMusgrave/pytorch-metric-learning,,pytorch-utils,https://github.com/KevinMusgrave/pytorch-metric-learning,https://github.com/KevinMusgrave/pytorch-metric-learning,MIT,2019-10-23 17:20:35.000000,2021-08-17 08:28:08.000000,2021-08-03 16:06:56.000000,448,47.0,239.0,3552.0,710.0,\"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.\",19.0,25,True,2021-05-10 02:52:47.000000,0.9.99,164.0,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,,['pytorch'],117.0,117.0,https://pypi.org/project/pytorch-metric-learning,2021-08-17 08:28:08.000000,0.0,10705.0,10897.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2021-05-10 03:54:12.379000,3665.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n329,einops,arogozhnikov/einops,,ml-frameworks,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08.000000,2021-06-06 15:02:21.000000,2021-06-04 04:11:08.000000,129,28.0,50.0,3528.0,321.0,\"Deep learning operations reinvented (for pytorch, tensorflow, jax and others).\",12.0,25,True,2020-09-08 08:33:29.000000,0.3,3.0,einops,conda-forge/einops,,,,989.0,979.0,https://pypi.org/project/einops,2020-09-08 08:21:26.000000,10.0,388596.0,388874.0,https://anaconda.org/conda-forge/einops,2020-10-15 20:10:19.681000,6396.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n330,Sumy,miso-belica/sumy,,nlp,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48.000000,2021-08-26 09:04:30.000000,2021-06-17 15:47:06.000000,456,14.0,78.0,2632.0,,Module for automatic summarization of text documents and HTML pages.,21.0,25,True,2019-05-19 14:39:21.000000,0.8.1,13.0,sumy,,,,,1073.0,881.0,https://pypi.org/project/sumy,2019-05-19 14:38:29.000000,192.0,20968.0,20968.0,,,,,,,,2.0,,,,,,,,-2.0,,,,,,,,,,,,,\n331,D-Tale,man-group/dtale,,data-viz,https://github.com/man-group/dtale,https://github.com/man-group/dtale,LGPL-2.1,2019-07-15 09:34:48.000000,2021-08-18 12:42:53.046000,2021-08-18 11:52:18.000000,202,36.0,361.0,2579.0,481.0,Visualizer for pandas data structures.,17.0,25,True,2021-08-18 12:24:16.000000,1.55.0,130.0,dtale,conda-forge/dtale,,,\"['pandas', 'jupyter']\",217.0,217.0,https://pypi.org/project/dtale,2021-08-18 12:19:21.000000,0.0,13522.0,17918.0,https://anaconda.org/conda-forge/dtale,2021-08-18 12:42:53.046000,79142.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n332,Neural Network Libraries,sony/nnabla,,ml-frameworks,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10.000000,2021-08-25 16:13:46.000000,2021-08-25 03:04:14.000000,300,29.0,39.0,2485.0,2826.0,Neural Network Libraries.,64.0,25,True,2021-06-27 06:20:56.000000,1.20.1,57.0,nnabla,,,,,34.0,,https://pypi.org/project/nnabla,2021-06-26 22:40:20.000000,34.0,4248.0,4258.0,,,,,,,,3.0,528.0,,,,,,,,,,,,,,,,,,,,\n333,nlpaug,makcedward/nlpaug,,nlp,https://github.com/makcedward/nlpaug,https://github.com/makcedward/nlpaug,MIT,2019-03-21 03:00:17.000000,2021-07-30 22:15:52.000000,2021-07-30 22:14:30.000000,275,29.0,109.0,2371.0,647.0,Data augmentation for NLP.,19.0,25,True,2021-07-21 04:02:25.000000,1.1.7,33.0,nlpaug,,,,,174.0,172.0,https://pypi.org/project/nlpaug,2021-07-21 04:02:25.000000,2.0,21823.0,21823.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n334,neuralcoref,huggingface/neuralcoref,,nlp,https://github.com/huggingface/neuralcoref,https://github.com/huggingface/neuralcoref,MIT,2017-07-03 13:04:16.000000,2021-06-22 10:51:48.000000,2021-06-22 10:51:48.000000,412,53.0,227.0,2366.0,116.0,Fast Coreference Resolution in spaCy with Neural Networks.,21.0,25,True,2019-04-08 11:28:27.000000,4.0.0,5.0,neuralcoref,conda-forge/neuralcoref,,,,398.0,380.0,https://pypi.org/project/neuralcoref,2019-04-08 09:56:00.000000,18.0,18918.0,19451.0,https://anaconda.org/conda-forge/neuralcoref,2020-02-21 22:10:40.453000,9509.0,,,,,2.0,252.0,,,,,,,,,,,,,,,,,,,,\n335,facenet-pytorch,timesler/facenet-pytorch,,image,https://github.com/timesler/facenet-pytorch,https://github.com/timesler/facenet-pytorch,MIT,2019-05-25 01:29:24.000000,2021-05-23 21:26:30.000000,2021-05-23 21:26:30.000000,497,47.0,89.0,2310.0,234.0,Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models.,14.0,25,True,2021-03-10 01:00:20.000000,2.5.2,31.0,facenet-pytorch,,,,['pytorch'],457.0,451.0,https://pypi.org/project/facenet-pytorch,2021-03-10 01:00:20.000000,6.0,10622.0,17122.0,,,,,,,,2.0,136503.0,,,,,,,,,,,,,,,,,,,,\n336,causalml,uber/causalml,,others,https://github.com/uber/causalml,https://github.com/uber/causalml,Apache-2.0,2019-07-09 02:08:58.000000,2021-08-02 20:49:15.000000,2021-08-02 20:26:30.000000,324,48.0,158.0,2205.0,346.0,Uplift modeling and causal inference with machine learning algorithms.,27.0,25,True,2021-08-02 20:49:15.000000,0.11.1,15.0,causalml,,,,,29.0,29.0,https://pypi.org/project/causalml,2021-08-02 20:49:15.000000,0.0,40981.0,40981.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n337,Hyperas,maxpumperla/hyperas,,hyperopt,https://github.com/maxpumperla/hyperas,https://github.com/maxpumperla/hyperas,MIT,2016-02-19 14:45:10.000000,2020-12-22 08:31:48.000000,2020-12-22 08:31:47.000000,305,88.0,158.0,2089.0,209.0,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,21.0,25,True,2019-02-28 09:16:54.000000,0.4.1,9.0,hyperas,,,,['tensorflow'],255.0,213.0,https://pypi.org/project/hyperas,2019-02-28 09:16:54.000000,42.0,27060.0,27060.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n338,BoTorch,pytorch/botorch,,hyperopt,https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000000,2021-08-25 21:41:19.000000,2021-08-25 06:23:42.000000,211,41.0,154.0,2045.0,,Bayesian optimization in PyTorch.,59.0,25,True,2021-06-29 19:31:00.000000,0.5.0,17.0,botorch,,,,['pytorch'],150.0,150.0,https://pypi.org/project/botorch,2021-06-29 19:37:54.000000,0.0,71418.0,71418.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n339,ipyparallel,ipython/ipyparallel,,distributed-ml,https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,BSD-3-Clause,2015-04-09 07:43:55.000000,2021-08-26 13:09:01.000000,2021-08-26 11:54:34.000000,808,63.0,229.0,2038.0,,Interactive Parallel Computing in Python.,101.0,25,True,2020-05-05 18:42:38.000000,6.3.0,27.0,ipyparallel,conda-forge/ipyparallel,,,['jupyter'],2146.0,1656.0,https://pypi.org/project/ipyparallel,2021-08-11 18:34:59.000000,490.0,43249.0,50989.0,https://anaconda.org/conda-forge/ipyparallel,2021-08-05 06:25:22.813000,495384.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n340,polyglot,aboSamoor/polyglot,,nlp,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,GPL-3.0,2014-06-30 02:07:45.000000,2021-04-28 03:41:03.000000,2020-09-22 22:35:28.000000,300,132.0,64.0,1884.0,271.0,Multilingual text (NLP) processing toolkit.,26.0,25,False,2016-07-03 20:05:42.000000,16.7.4,8.0,polyglot,,,,,682.0,552.0,https://pypi.org/project/polyglot,2016-07-03 20:05:42.000000,130.0,75707.0,75707.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n341,efficientnet,qubvel/efficientnet,,tensorflow-utils,https://github.com/qubvel/efficientnet,https://github.com/qubvel/efficientnet,Apache-2.0,2019-05-30 20:21:09.000000,2021-08-16 07:14:52.000000,2021-07-16 09:03:20.000000,422,59.0,55.0,1878.0,66.0,Implementation of EfficientNet model. Keras and TensorFlow Keras.,10.0,25,True,2020-09-15 16:26:00.000000,1.1.1,9.0,efficientnet,,,,['tensorflow'],720.0,716.0,https://pypi.org/project/efficientnet,2020-09-15 16:26:00.000000,4.0,63923.0,70850.0,,,,,,,,3.0,187043.0,,,,,,,,,,,,,,,,,,,,\n342,pgmpy,pgmpy/pgmpy,,probabilistics,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000000,2021-08-24 13:18:02.000000,2021-08-24 13:18:01.000000,585,224.0,534.0,1863.0,6.0,Python Library for learning (Structure and Parameter) and inference (Probabilistic and Causal) in Bayesian Networks.,97.0,25,True,2021-06-30 09:15:38.000000,0.1.15,14.0,pgmpy,,,,,272.0,260.0,https://pypi.org/project/pgmpy,2021-06-30 08:05:07.000000,12.0,37924.0,37930.0,,,,,,,,3.0,96.0,,,,,,,,,,,,,,,,,,,,\n343,scattertext,JasonKessler/scattertext,,nlp,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12.000000,2021-07-07 11:03:19.668000,2021-07-07 05:57:36.000000,224,17.0,65.0,1652.0,351.0,Beautiful visualizations of how language differs among document types.,11.0,25,True,2021-07-07 06:00:32.000000,0.1.4,133.0,scattertext,conda-forge/scattertext,,,,229.0,213.0,https://pypi.org/project/scattertext,2021-07-07 06:00:32.000000,16.0,4319.0,5478.0,https://anaconda.org/conda-forge/scattertext,2021-07-07 11:03:19.668000,55655.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n344,pandas-ta,twopirllc/pandas-ta,,probabilistics,https://github.com/twopirllc/pandas-ta,https://github.com/twopirllc/pandas-ta,MIT,2019-02-19 16:41:09.000000,2021-08-19 18:54:26.000000,2021-07-28 18:50:31.000000,370,33.0,229.0,1534.0,,Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators.,44.0,25,True,2021-07-28 20:21:21.000000,0.3.14,19.0,pandas-ta,,,,['pandas'],213.0,213.0,https://pypi.org/project/pandas-ta,2021-07-28 20:51:17.000000,0.0,31889.0,31889.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n345,mljar-supervised,mljar/mljar-supervised,,hyperopt,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000000,2021-08-23 17:08:31.000000,2021-08-23 09:42:38.000000,197,62.0,354.0,1482.0,941.0,Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning.,12.0,25,True,2021-06-08 20:39:40.000000,0.10.6,73.0,mljar-supervised,,,,,15.0,15.0,https://pypi.org/project/mljar-supervised,2021-06-08 20:39:40.000000,,114313.0,114313.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n346,Fairness 360,Trusted-AI/AIF360,,interpretability,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15.000000,2021-08-23 18:52:34.000000,2021-07-21 12:17:13.000000,467,52.0,55.0,1474.0,335.0,\"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..\",44.0,25,True,2021-03-04 18:11:34.000000,0.4.0,9.0,aif360,,,,,114.0,110.0,https://pypi.org/project/aif360,2021-03-04 18:11:34.000000,4.0,5663.0,5663.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n347,chainercv,chainer/chainercv,,image,https://github.com/chainer/chainercv,https://github.com/chainer/chainercv,MIT,2017-02-13 04:15:10.000000,2021-07-01 16:54:50.000000,2020-01-07 11:48:31.000000,318,54.0,168.0,1460.0,4930.0,ChainerCV: a Library for Deep Learning in Computer Vision.,39.0,25,False,2019-06-12 11:55:02.000000,0.13.1,24.0,chainercv,,,,,60.0,,https://pypi.org/project/chainercv,2019-06-12 11:55:40.000000,60.0,5399.0,5399.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n348,FairScale,facebookresearch/fairscale,,distributed-ml,https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000000,2021-08-25 19:12:08.000000,2021-08-18 15:46:54.000000,102,48.0,152.0,1348.0,500.0,PyTorch extensions for high performance and large scale training.,40.0,25,True,2021-08-12 17:42:24.000000,0.4.0,22.0,fairscale,,,,['pytorch'],64.0,64.0,https://pypi.org/project/fairscale,2021-08-01 04:46:31.000000,0.0,32767.0,32767.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n349,shapash,MAIF/shapash,,interpretability,https://github.com/MAIF/shapash,https://github.com/MAIF/shapash,Apache-2.0,2020-04-29 07:34:23.000000,2021-08-26 12:43:43.000000,2021-08-26 12:43:43.000000,183,8.0,69.0,1299.0,813.0,Shapash makes Machine Learning models transparent and understandable by everyone.,26.0,25,True,2021-07-19 15:12:11.000000,1.4.4,14.0,shapash,,,,['jupyter'],24.0,24.0,https://pypi.org/project/shapash,2021-07-19 15:12:11.000000,,12697.0,12697.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n350,ViZDoom,mwydmuch/ViZDoom,,reinforcement-learning,https://github.com/mwydmuch/ViZDoom,https://github.com/mwydmuch/ViZDoom,MIT,2015-06-26 18:38:23.000000,2021-08-18 22:36:24.000000,2021-08-18 22:36:24.000000,298,88.0,332.0,1243.0,1493.0,Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information.,45.0,25,True,2020-10-29 15:56:20.000000,1.1.8,19.0,vizdoom,,,,,140.0,116.0,https://pypi.org/project/vizdoom,2020-10-29 15:56:20.000000,24.0,1027.0,1199.0,,,,,,,,2.0,11230.0,,,,,,,,,,,,,,,,,,,,\n351,PyCUDA,inducer/pycuda,,gpu-utilities,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000000,2021-08-04 03:12:23.000000,2021-07-27 15:24:00.000000,239,55.0,142.0,1198.0,,\"CUDA integration for Python, plus shiny features.\",74.0,25,True,2019-08-12 04:15:37.000000,2019.1.2,47.0,pycuda,,,,,1264.0,972.0,https://pypi.org/project/pycuda,2021-04-03 22:28:54.000000,292.0,28935.0,28935.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n352,bt,pmorissette/bt,,financial-data,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28.000000,2021-05-15 18:58:08.000000,2021-05-15 18:58:08.000000,290,39.0,216.0,1144.0,438.0,bt - flexible backtesting for Python.,24.0,25,True,2021-04-21 02:52:26.000000,0.2.9,25.0,bt,,,,,110.0,70.0,https://pypi.org/project/bt,2021-04-21 02:52:26.000000,40.0,9312.0,9312.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n353,livelossplot,stared/livelossplot,,ml-experiments,https://github.com/stared/livelossplot,https://github.com/stared/livelossplot,MIT,2018-03-10 17:51:43.000000,2021-08-16 11:53:49.000000,2021-08-16 11:51:40.000000,137,3.0,70.0,1107.0,327.0,\"Live training loss plot in Jupyter Notebook for Keras, PyTorch and others.\",17.0,25,True,2021-02-03 16:25:47.000000,0.5.4,24.0,livelossplot,,,,['jupyter'],620.0,610.0,https://pypi.org/project/livelossplot,2021-02-03 16:25:47.000000,10.0,70626.0,70626.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n354,ArcGIS API,Esri/arcgis-python-api,,geospatial-data,https://github.com/Esri/arcgis-python-api,https://github.com/Esri/arcgis-python-api,Apache-2.0,2016-03-16 01:09:14.000000,2021-08-24 04:31:02.000000,2021-08-24 04:31:02.000000,781,128.0,249.0,1099.0,3200.0,Documentation and samples for ArcGIS API for Python.,70.0,25,True,2021-07-06 17:37:19.000000,1.9,30.0,arcgis,,esridocker/arcgis-api-python-notebook,,,20.0,,https://pypi.org/project/arcgis,2021-07-08 16:38:29.000000,20.0,42493.0,42566.0,,,,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,2020-03-06 00:53:45.164342,33.0,4801.0,3.0,,,,,,,,,,,,,,,,,,,,,\n355,arviz,arviz-devs/arviz,,interpretability,https://github.com/arviz-devs/arviz,https://github.com/arviz-devs/arviz,Apache-2.0,2015-07-29 11:51:10.000000,2021-08-26 07:58:09.000000,2021-08-26 06:14:49.000000,219,141.0,491.0,1073.0,,Exploratory analysis of Bayesian models with Python.,87.0,25,True,2021-02-21 19:39:56.000000,0.11.2,23.0,arviz,conda-forge/arviz,,,,1329.0,1293.0,https://pypi.org/project/arviz,2021-02-21 19:39:56.000000,36.0,288594.0,304720.0,https://anaconda.org/conda-forge/arviz,2021-04-20 19:35:43.998000,435342.0,,,,,2.0,109.0,,,,,,,,,,,,,,,,,,,,\n356,spacy-transformers,explosion/spacy-transformers,,nlp,https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000000,2021-08-26 11:49:41.000000,2021-08-17 06:41:12.000000,121,1.0,,1016.0,1338.0,\"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.\",16.0,25,True,2021-08-26 11:50:14.000000,1.0.5,47.0,spacy-transformers,,,,['spacy'],255.0,249.0,https://pypi.org/project/spacy-transformers,2021-08-26 11:49:41.000000,6.0,57198.0,57198.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n357,fancyimpute,iskandr/fancyimpute,,sklearn-utils,https://github.com/iskandr/fancyimpute,https://github.com/iskandr/fancyimpute,Apache-2.0,2015-11-05 23:39:34.000000,2021-08-26 07:37:31.000000,2021-08-26 05:43:42.000000,155,4.0,107.0,990.0,200.0,Multivariate imputation and matrix completion algorithms implemented in Python.,11.0,25,True,2021-08-26 07:37:31.000000,0.6.1,28.0,fancyimpute,,,,['sklearn'],1095.0,1053.0,https://pypi.org/project/fancyimpute,2021-08-26 07:37:31.000000,42.0,6286.0,6286.0,,,,,,,,2.0,,,,,,,,-1.0,,,,,,,,,,,,,\n358,PennyLane,PennyLaneAI/PennyLane,,others,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000000,2021-08-26 15:14:31.000000,2021-08-26 06:03:30.000000,292,126.0,355.0,979.0,2054.0,PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum..,66.0,25,True,2021-08-17 02:25:24.000000,0.17.0,24.0,pennylane,,,,,20.0,,https://pypi.org/project/pennylane,2021-08-17 02:25:24.000000,20.0,8207.0,8208.0,,,,,,,,2.0,59.0,,,,,,,,,,,,,,,,,,,,\n359,bcolz,Blosc/bcolz,,data-containers,https://github.com/Blosc/bcolz,https://github.com/Blosc/bcolz,BSD-3-Clause,2010-08-18 15:27:02.000000,2021-04-02 08:59:38.000000,2020-09-10 12:12:45.000000,120,126.0,122.0,930.0,1280.0,A columnar data container that can be compressed.,33.0,25,True,2018-04-13 07:44:26.000000,1.2.1,23.0,bcolz,conda-forge/bcolz,,,,2601.0,1633.0,https://pypi.org/project/bcolz,2018-04-13 07:44:26.000000,968.0,27071.0,31952.0,https://anaconda.org/conda-forge/bcolz,2019-11-05 21:09:48.045000,263614.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n360,kmodes,nicodv/kmodes,,others,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40.000000,2021-07-15 04:36:49.000000,2021-07-15 04:36:46.000000,349,19.0,115.0,892.0,464.0,\"Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data.\",18.0,25,True,2021-02-13 03:34:23.000000,0.11.0,13.0,kmodes,,,,,755.0,729.0,https://pypi.org/project/kmodes,2021-02-13 03:26:34.000000,26.0,184299.0,184299.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n361,PySAL,pysal/pysal,,geospatial-data,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42.000000,2021-08-02 16:50:41.186000,2021-08-01 00:01:38.000000,248,58.0,586.0,890.0,4123.0,PySAL: Python Spatial Analysis Library Meta-Package.,72.0,25,True,2021-08-01 00:02:42.000000,2.5.0,26.0,pysal,conda-forge/pysal,,,,36.0,,https://pypi.org/project/pysal,2021-08-01 00:14:07.000000,36.0,14132.0,21058.0,https://anaconda.org/conda-forge/pysal,2021-08-02 16:50:41.186000,422539.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n362,pyclustering,annoviko/pyclustering,,others,https://github.com/annoviko/pyclustering,https://github.com/annoviko/pyclustering,BSD-3-Clause,2014-02-25 18:59:03.000000,2021-07-15 10:56:43.000000,2021-02-12 19:04:59.000000,200,56.0,585.0,865.0,2079.0,\"pyclustring is a Python, C++ data mining library.\",26.0,25,True,2020-11-25 22:33:07.000000,0.10.1.2,46.0,pyclustering,conda-forge/pyclustering,,,,259.0,223.0,https://pypi.org/project/pyclustering,2020-11-25 22:41:20.000000,36.0,43891.0,45281.0,https://anaconda.org/conda-forge/pyclustering,2021-07-14 21:12:14.195000,27697.0,,,,,2.0,357.0,,,,,,,,,,,,,,,,,,,,\n363,Neural Structured Learning,tensorflow/neural-structured-learning,,tensorflow-utils,https://github.com/tensorflow/neural-structured-learning,https://github.com/tensorflow/neural-structured-learning,Apache-2.0,2019-08-27 21:48:16.000000,2021-08-25 22:31:00.000000,2021-08-25 22:30:06.000000,151,4.0,54.0,850.0,464.0,Training neural models with structured signals.,29.0,25,True,2020-08-18 00:35:35.000000,1.3.1,7.0,neural-structured-learning,,,,['tensorflow'],101.0,101.0,https://pypi.org/project/neural-structured-learning,2020-08-18 00:35:35.000000,0.0,118011.0,118011.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n364,empyrical,quantopian/empyrical,,financial-data,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52.000000,2020-10-14 13:28:13.625000,2020-10-14 13:22:39.000000,269,27.0,26.0,820.0,167.0,Common financial risk and performance metrics. Used by zipline and pyfolio.,22.0,25,True,2020-10-13 21:29:19.000000,0.5.5,21.0,empyrical,conda-forge/empyrical,,,,907.0,685.0,https://pypi.org/project/empyrical,2020-10-13 21:29:19.000000,222.0,51237.0,51545.0,https://anaconda.org/conda-forge/empyrical,2020-10-14 13:28:13.625000,12969.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n365,pythreejs,jupyter-widgets/pythreejs,,data-viz,https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,BSD-3-Clause,2013-12-23 17:02:11.000000,2021-07-28 20:50:00.000000,2021-02-26 14:01:59.000000,162,63.0,142.0,754.0,1659.0,A Jupyter - Three.js bridge.,27.0,25,True,2021-02-26 14:01:21.000000,2.3.0,43.0,pythreejs,conda-forge/pythreejs,,,['jupyter'],52.0,18.0,https://pypi.org/project/pythreejs,2021-02-26 14:01:21.000000,26.0,41504.0,54162.0,https://anaconda.org/conda-forge/pythreejs,2021-03-02 13:32:39.505000,328747.0,,,,,3.0,,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,2021-02-26 13:59:06.062000,8.0,7440.0,,,,,,,,,,,,,,\n366,mahotas,luispedro/mahotas,,image,https://github.com/luispedro/mahotas,https://github.com/luispedro/mahotas,MIT,2010-01-31 00:13:06.000000,2021-05-31 13:33:21.000000,2021-05-31 13:33:21.000000,132,16.0,58.0,703.0,1280.0,Computer Vision in Python.,31.0,25,True,2020-08-16 17:22:48.000000,1.4.11,57.0,mahotas,conda-forge/mahotas,,,,865.0,675.0,https://pypi.org/project/mahotas,2020-08-16 17:22:48.000000,190.0,13163.0,17740.0,https://anaconda.org/conda-forge/mahotas,2021-01-22 05:47:20.379000,297516.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n367,PDPbox,SauceCat/PDPbox,,data-viz,https://github.com/SauceCat/PDPbox,https://github.com/SauceCat/PDPbox,MIT,2017-06-26 08:01:54.000000,2021-06-24 15:32:01.000000,2021-03-14 16:01:01.000000,94,20.0,38.0,602.0,227.0,python partial dependence plot toolbox.,7.0,25,True,2021-03-14 16:21:17.000000,0.2.1,3.0,pdpbox,conda-forge/pdpbox,,,,456.0,422.0,https://pypi.org/project/pdpbox,2021-03-14 16:21:17.000000,34.0,74469.0,74827.0,https://anaconda.org/conda-forge/pdpbox,2021-03-14 19:37:51.465000,8952.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n368,tensorflow-upstream,ROCmSoftwarePlatform/tensorflow-upstream,,ml-frameworks,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,Apache-2.0,2018-04-09 21:24:50.000000,2021-08-25 22:42:01.000000,2021-08-23 19:18:53.000000,64,55.0,249.0,567.0,79524.0,TensorFlow ROCm port.,3774.0,25,True,2021-05-21 16:17:54.000000,2.4.3,67.0,tensorflow-rocm,,,,['tensorflow'],0.0,,https://pypi.org/project/tensorflow-rocm,2021-08-16 21:22:25.000000,0.0,3667.0,3667.0,,,,,,,,3.0,17.0,,,,,,,,,,,,,,,,,,,,\n369,hvPlot,holoviz/hvplot,,data-viz,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000000,2021-08-24 17:53:26.000000,2021-08-05 14:23:50.000000,59,126.0,255.0,438.0,419.0,\"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.\",30.0,25,True,2021-07-26 16:25:50.000000,0.7.3,36.0,hvplot,conda-forge/hvplot,,,,764.0,734.0,https://pypi.org/project/hvplot,2021-07-23 11:33:46.000000,30.0,32193.0,35335.0,https://anaconda.org/conda-forge/hvplot,2021-07-23 14:04:28.244000,113130.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n370,python-soundfile,bastibe/python-soundfile,,audio,https://github.com/bastibe/python-soundfile,https://github.com/bastibe/python-soundfile,BSD-3-Clause,2013-08-27 13:36:52.000000,2021-01-13 07:52:51.000000,2020-12-01 18:42:47.000000,52,62.0,94.0,405.0,493.0,\"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.\",19.0,25,True,2019-12-04 10:03:39.000000,0.10.3post1,7.0,soundfile,,,,,9201.0,8461.0,https://pypi.org/project/soundfile,2019-11-27 12:16:19.000000,740.0,814434.0,814462.0,,,,,,,,2.0,2539.0,,,,,,,,,,,,,,,,,,,,\n371,ml-metadata,google/ml-metadata,,ml-experiments,https://github.com/google/ml-metadata,https://github.com/google/ml-metadata,Apache-2.0,2019-01-15 21:02:09.000000,2021-08-23 21:33:47.000000,2021-08-23 21:18:12.000000,74,17.0,52.0,365.0,549.0,For recording and retrieving metadata associated with ML developer and data scientist workflows.,13.0,25,True,2021-08-23 21:33:47.000000,1.3.0,30.0,ml-metadata,,,,,146.0,146.0,https://pypi.org/project/ml-metadata,2021-08-23 21:33:47.000000,0.0,1872755.0,1872805.0,,,,,,,,2.0,1478.0,,,,,,,,,,,,,,,,,,,,\n372,Ciphey,Ciphey/Ciphey,,nlp,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39.000000,2021-08-19 17:03:25.000000,2021-08-19 17:03:24.000000,463,53.0,207.0,8009.0,1857.0,\"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.\",45.0,24,True,2021-06-06 17:14:16.000000,5.14.0,50.0,ciphey,,remnux/ciphey,,,,,https://pypi.org/project/ciphey,2021-06-06 17:13:48.000000,,13630.0,14080.0,,,,https://hub.docker.com/r/remnux/ciphey,2021-06-06 19:39:58.688952,4.0,11254.0,3.0,,,,,,,,,,,,,,,,,,,,,\n373,NuPIC,numenta/nupic,,ml-frameworks,https://github.com/numenta/nupic,https://github.com/numenta/nupic,AGPL-3.0,2013-04-05 23:14:27.000000,2021-03-25 21:39:47.000000,2019-10-23 20:45:07.000000,1585,456.0,1337.0,6265.0,6625.0,\"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..\",121.0,24,False,2018-06-01 15:37:54.000000,1.0.5,53.0,nupic,,,,,142.0,104.0,https://pypi.org/project/nupic,2018-06-01 15:37:54.000000,38.0,3154.0,3154.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n374,english-words,dwyl/english-words,,nlp,https://github.com/dwyl/english-words,https://github.com/dwyl/english-words,Unlicense,2014-07-13 22:20:45.000000,2021-08-02 04:02:28.000000,2020-10-15 08:03:00.000000,1155,44.0,26.0,5477.0,83.0,A text file containing 479k English words for all your dictionary/word-based projects e.g: auto-completion /..,25.0,24,True,2021-08-02 04:02:28.000000,1.0.4,5.0,english-words,,,,,4.0,,https://pypi.org/project/english-words,2021-08-02 04:02:28.000000,4.0,11932.0,11932.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n375,Face Alignment,1adrianb/face-alignment,,image,https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44.000000,2021-08-04 06:54:32.000000,2021-08-04 06:54:21.000000,1089,41.0,214.0,5146.0,205.0,2D and 3D Face alignment library build using pytorch.,23.0,24,True,2021-04-28 22:17:22.000000,1.3.4,10.0,face-alignment,,,,['pytorch'],12.0,,https://pypi.org/project/face-alignment,2021-04-28 22:17:22.000000,12.0,5767.0,5767.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n376,textgenrnn,minimaxir/textgenrnn,,nlp,https://github.com/minimaxir/textgenrnn,https://github.com/minimaxir/textgenrnn,MIT,2017-08-07 02:13:37.000000,2021-06-18 06:05:47.000000,2020-07-14 02:41:10.000000,693,117.0,85.0,4494.0,174.0,Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines..,19.0,24,False,2020-02-03 01:07:00.000000,2.0.0,14.0,textgenrnn,,,,['tensorflow'],958.0,930.0,https://pypi.org/project/textgenrnn,2020-02-02 21:16:15.000000,28.0,716.0,729.0,,,,,,,,3.0,557.0,,,,,,,,,,,,,,,,,,,,\n377,Lasagne,Lasagne/Lasagne,,ml-frameworks,https://github.com/Lasagne/Lasagne,https://github.com/Lasagne/Lasagne,MIT,2014-09-11 15:31:41.000000,2019-11-20 20:28:31.000000,2019-11-20 20:28:30.000000,983,139.0,402.0,3783.0,1161.0,Lightweight library to build and train neural networks in Theano.,72.0,24,False,2015-08-13 21:00:09.000000,0.1,1.0,lasagne,,,,,1352.0,846.0,https://pypi.org/project/lasagne,2015-08-13 21:10:53.000000,506.0,3388.0,3388.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n378,DeepMatcher,anhaidgroup/deepmatcher,,nlp,https://github.com/anhaidgroup/deepmatcher,https://github.com/anhaidgroup/deepmatcher,BSD-3-Clause,2017-12-01 19:01:11.000000,2021-06-13 01:13:43.000000,2021-06-13 00:22:13.000000,1401,53.0,22.0,3752.0,176.0,Python package for performing Entity and Text Matching using Deep Learning.,7.0,24,True,2021-05-27 22:28:29.000000,0.1.2,13.0,deepmatcher,,,,,14.0,14.0,https://pypi.org/project/deepmatcher,2021-06-13 01:13:24.000000,,2049.0,2049.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n379,torchdiffeq,rtqichen/torchdiffeq,,pytorch-utils,https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25.000000,2021-07-27 23:37:59.000000,2021-07-27 23:35:33.000000,620,27.0,126.0,3648.0,219.0,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,19.0,24,True,2021-06-02 23:04:51.000000,0.2.2,6.0,torchdiffeq,,,,['pytorch'],126.0,126.0,https://pypi.org/project/torchdiffeq,2021-06-02 23:04:51.000000,0.0,5980.0,5980.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n380,T5,google-research/text-to-text-transfer-transformer,,nlp,https://github.com/google-research/text-to-text-transfer-transformer,https://github.com/google-research/text-to-text-transfer-transformer,Apache-2.0,2019-10-17 21:45:14.000000,2021-08-24 17:54:30.000000,2021-08-24 17:52:58.000000,482,54.0,326.0,3571.0,,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,40.0,24,True,2021-08-04 19:15:10.000000,0.9.2,27.0,t5,,,,['tensorflow'],47.0,47.0,https://pypi.org/project/t5,2021-08-04 19:15:10.000000,0.0,12997.0,12997.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n381,xLearn,aksnzhy/xlearn,,ml-frameworks,https://github.com/aksnzhy/xlearn,https://github.com/aksnzhy/xlearn,Apache-2.0,2017-06-10 08:09:31.000000,2021-01-28 14:17:44.000000,2020-03-03 10:12:35.000000,528,193.0,108.0,2913.0,1340.0,\"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..\",30.0,24,False,2019-04-25 02:10:05.000000,0.4.4,15.0,xlearn,,,,,67.0,65.0,https://pypi.org/project/xlearn,2018-12-04 11:05:06.000000,2.0,7079.0,7146.0,,,,,,,,3.0,2778.0,,,,,,,,,,,,,,,,,,,,\n382,keras-vis,raghakot/keras-vis,,interpretability,https://github.com/raghakot/keras-vis,https://github.com/raghakot/keras-vis,MIT,2016-11-11 23:27:34.000000,2020-04-20 01:03:13.000000,2020-04-20 01:03:12.000000,599,114.0,99.0,2857.0,195.0,Neural network visualization toolkit for keras.,10.0,24,False,2017-07-06 04:55:04.000000,0.4.1,11.0,keras-vis,,,,['tensorflow'],1318.0,1262.0,https://pypi.org/project/keras-vis,2017-07-06 04:55:04.000000,56.0,4448.0,4448.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n383,Core ML Tools,apple/coremltools,,model-serialisation,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000000,2021-08-25 01:55:31.000000,2021-08-25 01:55:31.000000,378,394.0,388.0,2348.0,,\"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.\",116.0,24,True,2021-02-05 02:07:15.000000,4.1,31.0,coremltools,,,,,869.0,603.0,https://pypi.org/project/coremltools,2021-08-16 20:40:35.000000,266.0,50088.0,50160.0,,,,,,,,2.0,3394.0,,,,,,,,,,,,,,,,,,,,\n384,Darts,unit8co/darts,,time-series-data,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000000,2021-08-26 11:45:09.000000,2021-08-19 18:52:26.000000,171,25.0,98.0,2340.0,431.0,A python library for easy manipulation and forecasting of time series.,34.0,24,True,2021-08-19 18:56:44.000000,0.10.1,17.0,u8darts,,unit8/darts,,,10.0,10.0,https://pypi.org/project/u8darts,2021-08-19 18:56:44.000000,0.0,4477.0,4481.0,,,,https://hub.docker.com/r/unit8/darts,2021-08-19 19:04:25.348302,,151.0,2.0,,,,,,,,,,,,,,,,,,,,,\n385,Acme,deepmind/acme,,reinforcement-learning,https://github.com/deepmind/acme,https://github.com/deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000000,2021-08-26 14:45:32.000000,2021-08-26 14:44:00.000000,258,54.0,75.0,2282.0,534.0,A library of reinforcement learning components and agents.,44.0,24,True,2021-05-26 17:12:29.000000,0.2.1,10.0,dm-acme,,,,['tensorflow'],40.0,40.0,https://pypi.org/project/dm-acme,2021-05-26 17:12:54.000000,0.0,4171.0,4171.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n386,polars,pola-rs/polars,,data-containers,https://github.com/pola-rs/polars,https://github.com/pola-rs/polars,MIT,2020-05-13 19:45:33.000000,2021-08-26 14:57:09.000000,2021-08-26 14:50:12.000000,126,61.0,433.0,2218.0,2069.0,Fast multi-threaded DataFrame library in Rust and Python.,35.0,24,True,2021-08-26 14:45:04.000000,0.8.28,67.0,polars,,,,,4.0,4.0,https://pypi.org/project/polars,2021-08-26 14:45:04.000000,0.0,11428.0,11428.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n387,MONAI,Project-MONAI/MONAI,,medical-data,https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000000,2021-08-26 14:46:43.000000,2021-08-26 01:23:40.000000,418,128.0,1005.0,2212.0,,AI Toolkit for Healthcare Imaging.,74.0,24,True,2021-07-08 23:37:30.000000,0.6.0,25.0,monai,,,,['pytorch'],104.0,104.0,https://pypi.org/project/monai,2021-07-08 20:50:31.000000,0.0,13811.0,13811.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n388,TorchServe,pytorch/serve,,model-serialisation,https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000000,2021-08-26 14:53:36.000000,2021-08-18 00:10:56.000000,363,114.0,562.0,2042.0,1916.0,Model Serving on PyTorch.,76.0,24,True,2021-08-02 21:31:05.000000,0.4.2,10.0,torchserve,pytorch/torchserve,pytorch/torchserve,,['pytorch'],0.0,,https://pypi.org/project/torchserve,2021-08-02 20:44:55.000000,0.0,10274.0,16035.0,https://anaconda.org/pytorch/torchserve,2021-08-02 20:45:16.815000,12363.0,https://hub.docker.com/r/pytorch/torchserve,2021-08-02 20:52:41.515485,6.0,108981.0,2.0,578.0,,,,,,,,,,,,,,,,,,,,\n389,Alphalens,quantopian/alphalens,,financial-data,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15.000000,2020-09-05 16:48:14.000000,2020-04-27 18:40:41.000000,761,38.0,145.0,2025.0,522.0,Performance analysis of predictive (alpha) stock factors.,25.0,24,False,2020-04-30 15:42:52.000000,0.4.0,10.0,alphalens,conda-forge/alphalens,,,,456.0,428.0,https://pypi.org/project/alphalens,2020-04-27 21:03:10.000000,28.0,2362.0,2670.0,https://anaconda.org/conda-forge/alphalens,2020-05-16 13:52:44.922000,12972.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n390,SRU,asappresearch/sru,,pytorch-utils,https://github.com/asappresearch/sru,https://github.com/asappresearch/sru,MIT,2017-08-28 20:37:41.000000,2021-06-29 18:11:30.000000,2021-05-19 15:52:48.000000,290,53.0,66.0,1961.0,400.0,Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755).,21.0,24,True,2021-05-18 16:13:10.000000,2.6.0,32.0,sru,,,,['pytorch'],18.0,16.0,https://pypi.org/project/sru,2021-06-17 23:33:37.000000,2.0,3839.0,3839.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n391,python_speech_features,jameslyons/python_speech_features,,audio,https://github.com/jameslyons/python_speech_features,https://github.com/jameslyons/python_speech_features,MIT,2013-10-31 02:42:08.000000,2020-12-31 13:27:02.000000,2020-12-31 13:27:01.000000,562,23.0,49.0,1948.0,120.0,This library provides common speech features for ASR including MFCCs and filterbank energies.,19.0,24,True,2020-01-14 14:12:10.000000,0.6.1,6.0,python_speech_features,,,,,300.0,,https://pypi.org/project/python_speech_features,2017-08-16 01:46:13.000000,300.0,102700.0,102700.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n392,pytorch-nlp,PetrochukM/PyTorch-NLP,,nlp,https://github.com/PetrochukM/PyTorch-NLP,https://github.com/PetrochukM/PyTorch-NLP,BSD-3-Clause,2018-02-25 05:00:36.000000,2021-08-22 16:33:38.000000,2021-07-10 15:56:42.000000,236,16.0,49.0,1946.0,447.0,Basic Utilities for PyTorch Natural Language Processing (NLP).,18.0,24,True,2019-11-04 05:16:00.000000,0.5.0,19.0,pytorch-nlp,,,,['pytorch'],289.0,271.0,https://pypi.org/project/pytorch-nlp,2019-11-04 04:35:18.000000,18.0,4987.0,4987.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n393,PyFlux,RJT1990/pyflux,,time-series-data,https://github.com/RJT1990/pyflux,https://github.com/RJT1990/pyflux,BSD-3-Clause,2016-02-16 20:12:02.000000,2019-03-19 10:45:02.000000,2018-12-16 15:30:13.000000,217,80.0,65.0,1908.0,118.0,Open source time series library for Python.,6.0,24,False,2017-11-21 16:27:06.000000,0.4.16,35.0,pyflux,,,,,224.0,194.0,https://pypi.org/project/pyflux,2017-11-21 16:27:06.000000,30.0,67691.0,67691.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n394,Essentia,MTG/essentia,,audio,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000000,2021-08-23 17:31:12.000000,2021-08-23 17:30:36.000000,422,331.0,584.0,1892.0,2899.0,\"C++ library for audio and music analysis, description and synthesis, including Python bindings.\",71.0,24,False,2015-03-31 16:33:30.000000,2.0,9.0,essentia,,,,,232.0,222.0,https://pypi.org/project/essentia,2021-01-13 00:12:18.000000,10.0,1910.0,1910.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n395,Spektral,danielegrattarola/spektral,,graph,https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10.000000,2021-08-24 11:18:02.000000,2021-08-24 11:13:18.000000,242,24.0,146.0,1844.0,1030.0,Graph Neural Networks with Keras and Tensorflow 2.,19.0,24,True,2021-08-23 13:15:21.000000,1.0.8,31.0,spektral,,,,\"['tensorflow\"\"']\",72.0,72.0,https://pypi.org/project/spektral,2021-08-23 13:15:21.000000,0.0,4234.0,4234.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n396,Pandaral·lel,nalepae/pandarallel,,data-containers,https://github.com/nalepae/pandarallel,https://github.com/nalepae/pandarallel,BSD-3-Clause,2019-03-10 11:58:29.000000,2021-08-23 09:48:07.000000,2021-02-04 21:27:26.000000,118,77.0,58.0,1708.0,114.0,A simple and efficient tool to parallelize Pandas operations on all availableCPUs.,14.0,24,True,2021-02-04 21:35:01.000000,1.5.2,29.0,pandarallel,,,,\"['pandas', 'jupyter']\",276.0,276.0,https://pypi.org/project/pandarallel,2021-02-04 21:35:01.000000,0.0,180681.0,180681.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n397,Pillow-SIMD,uploadcare/pillow-simd,,image,https://github.com/uploadcare/pillow-simd,https://github.com/uploadcare/pillow-simd,PIL,2014-11-12 15:33:02.000000,2021-08-02 11:34:58.000000,2020-06-02 14:50:14.000000,72,12.0,56.0,1630.0,,The friendly PIL fork.,310.0,24,False,2020-01-02 05:19:26.000000,7.0.0,35.0,pillow-simd,,,,,489.0,439.0,https://pypi.org/project/pillow-simd,2020-01-26 14:30:27.000000,50.0,74334.0,74334.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n398,IB-insync,erdewit/ib_insync,,financial-data,https://github.com/erdewit/ib_insync,https://github.com/erdewit/ib_insync,BSD-2-Clause,2017-07-12 12:09:24.000000,2021-07-09 03:44:35.000000,2021-07-08 17:52:51.000000,437,8.0,324.0,1520.0,592.0,Python sync/async framework for Interactive Brokers API.,28.0,24,True,2021-04-26 18:22:55.000000,0.9.66,91.0,ib_insync,conda-forge/ib-insync,,,,12.0,,https://pypi.org/project/ib_insync,2021-04-26 18:22:55.000000,12.0,7290.0,7756.0,https://anaconda.org/conda-forge/ib-insync,2021-02-25 02:28:19.625000,11668.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n399,sklearn-contrib-lightning,scikit-learn-contrib/lightning,,sklearn-utils,https://github.com/scikit-learn-contrib/lightning,https://github.com/scikit-learn-contrib/lightning,BSD-3-Clause,2012-01-11 13:53:52.000000,2021-06-15 21:59:11.000000,2021-06-15 21:53:37.000000,193,50.0,40.0,1473.0,728.0,\"Large-scale linear classification, regression and ranking in Python.\",17.0,24,True,2021-06-16 21:04:08.000000,0.6.1,10.0,sklearn-contrib-lightning,conda-forge/sklearn-contrib-lightning,,,['sklearn'],96.0,86.0,https://pypi.org/project/sklearn-contrib-lightning,2021-06-15 21:53:28.000000,10.0,4370.0,6916.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2020-12-20 22:58:20.890000,153218.0,,,,,2.0,71.0,,,,,,,,,,,,,,,,,,,,\n400,streamparse,Parsely/streamparse,,data-pipelines,https://github.com/Parsely/streamparse,https://github.com/Parsely/streamparse,Apache-2.0,2014-05-02 20:33:50.000000,2021-06-21 22:49:33.000000,2020-12-18 18:43:59.000000,219,69.0,263.0,1439.0,1059.0,\"Run Python in Apache Storm topologies. Pythonic API, CLI tooling, and a topology DSL.\",41.0,24,True,2020-10-07 19:53:15.000000,4.0.0,47.0,streamparse,,,,,101.0,49.0,https://pypi.org/project/streamparse,2020-10-07 19:45:19.000000,52.0,3593.0,3593.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n401,Torchmeta,tristandeleu/pytorch-meta,,pytorch-utils,https://github.com/tristandeleu/pytorch-meta,https://github.com/tristandeleu/pytorch-meta,MIT,2018-12-04 23:36:45.000000,2021-08-02 17:05:06.000000,2021-07-31 11:01:33.000000,162,34.0,79.0,1413.0,376.0,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.,12.0,24,True,2021-03-19 14:49:53.000000,1.7.0,27.0,torchmeta,,,,['pytorch'],58.0,58.0,https://pypi.org/project/torchmeta,2021-03-19 14:49:53.000000,,2229.0,2229.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n402,Karate Club,benedekrozemberczki/karateclub,,graph,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56.000000,2021-08-17 19:55:20.000000,2021-08-17 19:55:17.000000,160,1.0,59.0,1376.0,2158.0,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,13.0,24,False,2021-08-04 20:14:06.000000,_10201,100.0,karateclub,,,,,53.0,53.0,https://pypi.org/project/karateclub,2021-08-04 20:04:35.000000,0.0,10999.0,10999.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n403,sense2vec,explosion/sense2vec,,nlp,https://github.com/explosion/sense2vec,https://github.com/explosion/sense2vec,MIT,2016-01-23 22:15:49.000000,2021-08-16 11:44:51.000000,2021-08-16 11:44:51.000000,214,19.0,85.0,1281.0,454.0,Contextually-keyed word vectors.,17.0,24,True,2021-04-19 07:05:28.000000,3.0.0,22.0,sense2vec,conda-forge/sense2vec,,,,93.0,81.0,https://pypi.org/project/sense2vec,2021-04-19 07:05:28.000000,12.0,5074.0,6512.0,https://anaconda.org/conda-forge/sense2vec,2021-07-14 13:20:19.752000,21945.0,,,,,3.0,19397.0,,,,,,,,,,,,,,,,,,,,\n404,garage,rlworkgroup/garage,,reinforcement-learning,https://github.com/rlworkgroup/garage,https://github.com/rlworkgroup/garage,MIT,2018-06-10 21:31:23.000000,2021-08-10 03:24:53.000000,2021-06-22 02:58:36.000000,235,205.0,796.0,1264.0,1213.0,A toolkit for reproducible reinforcement learning research.,77.0,24,True,2021-03-23 22:18:36.000000,2021.3.0,21.0,garage,,,,['tensorflow'],19.0,19.0,https://pypi.org/project/garage,2021-03-23 22:18:36.000000,0.0,318.0,318.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n405,FinTA,peerchemist/finta,,financial-data,https://github.com/peerchemist/finta,https://github.com/peerchemist/finta,LGPL-3.0,2016-09-01 21:02:46.000000,2021-07-23 15:06:12.000000,2021-07-23 15:06:07.000000,398,14.0,63.0,1215.0,387.0,Common financial technical indicators implemented in Pandas.,25.0,24,False,2021-04-03 08:51:49.000000,1.3,19.0,finta,,,,,98.0,94.0,https://pypi.org/project/finta,2020-10-21 11:39:44.000000,4.0,9891.0,9891.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n406,metric-learn,scikit-learn-contrib/metric-learn,,others,https://github.com/scikit-learn-contrib/metric-learn,https://github.com/scikit-learn-contrib/metric-learn,MIT,2013-11-02 08:29:47.000000,2021-05-23 21:08:50.000000,2021-04-26 08:27:27.000000,216,52.0,111.0,1157.0,266.0,Metric learning algorithms in Python.,19.0,24,True,2020-07-02 12:59:23.000000,0.6.2,10.0,metric-learn,,,,['sklearn'],182.0,164.0,https://pypi.org/project/metric-learn,2020-07-02 12:59:23.000000,18.0,115921.0,115921.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n407,pycm,sepandhaghighi/pycm,,others,https://github.com/sepandhaghighi/pycm,https://github.com/sepandhaghighi/pycm,MIT,2018-01-22 19:46:54.000000,2021-08-25 07:11:51.000000,2021-08-11 12:52:10.000000,98,11.0,158.0,1141.0,2695.0,Multi-class confusion matrix library in Python.,15.0,24,True,2021-08-11 13:07:51.000000,3.2,36.0,pycm,,,,,122.0,112.0,https://pypi.org/project/pycm,2021-08-11 13:08:23.000000,10.0,21309.0,21309.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n408,Alibi,SeldonIO/alibi,,interpretability,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Apache-2.0,2019-02-26 10:10:56.000000,2021-08-26 12:12:17.000000,2021-08-24 20:30:01.000000,139,102.0,126.0,1128.0,290.0,Algorithms for explaining machine learning models.,16.0,24,True,2021-07-08 14:26:57.000000,0.6.0,19.0,alibi,,,,,117.0,99.0,https://pypi.org/project/alibi,2021-07-08 14:25:46.000000,18.0,13594.0,13594.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n409,pandasql,yhat/pandasql,,data-containers,https://github.com/yhat/pandasql,https://github.com/yhat/pandasql,MIT,2013-02-18 01:53:56.000000,2020-08-14 13:00:13.000000,2017-02-01 15:40:30.000000,145,44.0,23.0,1031.0,127.0,sqldf for pandas.,15.0,24,False,2016-04-20 21:52:36.000000,0.7.3,31.0,pandasql,,,,['pandas'],978.0,880.0,https://pypi.org/project/pandasql,2016-04-20 21:52:36.000000,98.0,508920.0,508920.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n410,Streamz,python-streamz/streamz,,time-series-data,https://github.com/python-streamz/streamz,https://github.com/python-streamz/streamz,BSD-3-Clause,2017-04-04 21:45:49.000000,2021-06-23 01:24:18.000000,2021-06-23 01:24:18.000000,122,95.0,136.0,970.0,749.0,Real-time stream processing for python.,41.0,24,True,2021-01-14 20:47:38.000000,0.6.2,15.0,streamz,conda-forge/streamz,,,,243.0,227.0,https://pypi.org/project/streamz,2021-01-14 20:47:38.000000,16.0,9502.0,13557.0,https://anaconda.org/conda-forge/streamz,2021-01-15 14:38:35.032000,190608.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n411,ffn,pmorissette/ffn,,financial-data,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09.000000,2021-05-15 18:59:42.000000,2021-04-24 00:58:10.000000,195,18.0,77.0,938.0,351.0,ffn - a financial function library for Python.,26.0,24,True,2021-04-21 02:47:21.000000,0.3.6,27.0,ffn,,,,,179.0,137.0,https://pypi.org/project/ffn,2021-04-21 02:47:21.000000,42.0,39082.0,39082.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n412,minisom,JustGlowing/minisom,,others,https://github.com/JustGlowing/minisom,https://github.com/JustGlowing/minisom,CC-BY-3.0,2013-07-03 10:10:06.000000,2021-08-14 15:08:39.000000,2021-08-09 09:12:41.000000,291,6.0,74.0,900.0,459.0,MiniSom is a minimalistic implementation of the Self Organizing Maps.,23.0,24,False,2021-04-24 17:22:39.000000,2.2.9,1.0,minisom,,,,,199.0,191.0,https://pypi.org/project/minisom,2021-04-24 17:21:29.000000,8.0,9858.0,9858.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n413,openTSNE,pavlin-policar/openTSNE,,data-viz,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000000,2021-08-09 08:48:44.275000,2021-06-06 07:18:34.000000,91,8.0,86.0,874.0,557.0,\"Extensible, parallel implementations of t-SNE.\",10.0,24,True,2021-04-25 19:32:11.000000,0.6.0,21.0,opentsne,conda-forge/opentsne,,,,248.0,244.0,https://pypi.org/project/opentsne,2021-04-25 19:24:59.000000,4.0,19022.0,22632.0,https://anaconda.org/conda-forge/opentsne,2021-08-09 08:48:44.275000,115541.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n414,Opacus,pytorch/opacus,,privacy-ml,https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000000,2021-08-23 22:52:24.000000,2021-08-12 16:24:04.000000,133,15.0,78.0,868.0,268.0,Training PyTorch models with differential privacy.,31.0,24,True,2021-06-23 16:51:56.000000,0.14.0,9.0,opacus,,,,['pytorch'],45.0,45.0,https://pypi.org/project/opacus,2021-06-23 16:51:56.000000,0.0,8241.0,8243.0,,,,,,,,2.0,40.0,,,,,,,,,,,,,,,,,,,,\n415,pyopencl,inducer/pyopencl,,others,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,MIT,2011-04-06 02:51:33.000000,2021-08-16 17:32:00.000000,2021-08-16 17:26:37.000000,213,63.0,225.0,836.0,,\"OpenCL integration for Python, plus shiny features.\",88.0,24,True,2021-06-27 23:38:57.000000,2021.2.5,68.0,pyopencl,conda-forge/pyopencl,,,,788.0,550.0,https://pypi.org/project/pyopencl,2021-07-07 05:35:37.000000,238.0,11398.0,19849.0,https://anaconda.org/conda-forge/pyopencl,2021-07-07 15:54:32.199000,490187.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n416,PySwarms,ljvmiranda921/pyswarms,,others,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45.000000,2021-07-28 15:56:29.000000,2021-06-23 11:19:05.000000,259,16.0,180.0,821.0,409.0,A research toolkit for particle swarm optimization in Python.,43.0,24,True,2021-01-03 21:34:15.000000,1.3.0,20.0,pyswarms,,,,,132.0,132.0,https://pypi.org/project/pyswarms,2021-01-03 21:34:15.000000,0.0,16906.0,16906.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n417,arch,bashtage/arch,,financial-data,https://github.com/bashtage/arch,https://github.com/bashtage/arch,NCSA,2014-08-29 15:41:28.000000,2021-07-22 22:42:37.000000,2021-07-22 22:37:30.000000,182,13.0,142.0,783.0,,ARCH models in Python.,26.0,24,False,2021-07-22 22:40:03.000000,5.0.1,34.0,arch,,,,,399.0,357.0,https://pypi.org/project/arch,2021-07-22 22:40:03.000000,42.0,141688.0,141688.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n418,GPyOpt,SheffieldML/GPyOpt,,hyperopt,https://github.com/SheffieldML/GPyOpt,https://github.com/SheffieldML/GPyOpt,BSD-3-Clause,2014-08-13 09:58:25.000000,2020-11-17 10:32:02.000000,2020-11-05 15:16:04.000000,228,100.0,186.0,756.0,514.0,Gaussian Process Optimization using GPy.,49.0,24,True,2020-03-19 21:21:18.000000,1.2.6,11.0,gpyopt,,,,,243.0,207.0,https://pypi.org/project/gpyopt,2020-03-19 11:37:45.000000,36.0,17501.0,17501.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n419,dask-ml,dask/dask-ml,,distributed-ml,https://github.com/dask/dask-ml,https://github.com/dask/dask-ml,BSD-3-Clause,2017-06-15 15:56:06.000000,2021-08-05 13:50:51.000000,2021-08-05 13:46:12.000000,199,200.0,223.0,743.0,,Scalable Machine Learning with Dask.,66.0,24,True,2021-05-03 13:02:34.000000,1.9.0,28.0,dask-ml,conda-forge/dask-ml,,,,497.0,455.0,https://pypi.org/project/dask-ml,2021-05-03 13:02:34.000000,42.0,46783.0,51923.0,https://anaconda.org/conda-forge/dask-ml,2021-05-03 15:21:05.642000,236483.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n420,pyjanitor,pyjanitor-devs/pyjanitor,,others,https://github.com/pyjanitor-devs/pyjanitor,https://github.com/pyjanitor-devs/pyjanitor,MIT,2018-03-04 22:43:33.000000,2021-08-26 02:46:35.000000,2021-08-23 04:08:44.000000,129,101.0,311.0,727.0,1162.0,Clean APIs for data cleaning. Python implementation of R package Janitor.,92.0,24,True,2021-02-25 17:30:52.000000,0.20.13,50.0,pyjanitor,conda-forge/pyjanitor,,,,109.0,105.0,https://pypi.org/project/pyjanitor,2021-07-16 11:13:33.000000,4.0,9587.0,12018.0,https://anaconda.org/conda-forge/pyjanitor,2021-07-16 13:00:11.949000,99685.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n421,CellProfiler,CellProfiler/CellProfiler,,image,https://github.com/CellProfiler/CellProfiler,https://github.com/CellProfiler/CellProfiler,BSD-3-Clause,2011-04-05 12:10:12.000000,2021-08-23 17:20:52.000000,2021-07-26 18:19:07.000000,288,178.0,2812.0,601.0,15352.0,An open-source application for biological image analysis.,120.0,24,True,2021-07-22 19:01:42.000000,4.2.1,43.0,cellprofiler,,,,,4.0,4.0,https://pypi.org/project/cellprofiler,2017-09-04 18:03:36.000000,,1319.0,1334.0,,,,,,,,3.0,1399.0,,,,,,,,,,,,,,,,,,,,\n422,TensorFlow I/O,tensorflow/io,,tensorflow-utils,https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05.000000,2021-08-26 08:43:17.000000,2021-08-26 00:23:48.000000,181,148.0,303.0,491.0,1488.0,\"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.\",76.0,24,True,2021-08-12 03:38:51.000000,0.20.0,26.0,tensorflow-io,,,,['tensorflow'],0.0,,https://pypi.org/project/tensorflow-io,2021-08-12 03:35:58.000000,0.0,196064.0,196064.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n423,metrics,PyTorchLightning/metrics,,distributed-ml,https://github.com/PyTorchLightning/metrics,https://github.com/PyTorchLightning/metrics,Apache-2.0,2020-12-22 20:02:42.000000,2021-08-26 12:31:59.000000,2021-08-26 11:39:41.000000,84,24.0,138.0,441.0,475.0,\"Machine learning metrics for distributed, scalable PyTorch applications.\",87.0,24,True,2021-08-10 14:22:44.000000,0.5.0,15.0,metrics,,,,['pytorch'],654.0,642.0,https://pypi.org/project/metrics,2018-04-28 10:58:56.000000,12.0,3144.0,3179.0,,,,,,,,3.0,177.0,,,,,,,,,,,,,,,,,,,,\n424,findspark,minrk/findspark,,others,https://github.com/minrk/findspark,https://github.com/minrk/findspark,BSD-3-Clause,2015-06-12 21:34:06.000000,2021-06-14 06:11:28.000000,2021-06-14 06:10:09.000000,66,11.0,9.0,410.0,,Find pyspark to make it importable.,14.0,24,True,2020-06-08 09:32:23.000000,1.4.2,12.0,findspark,conda-forge/findspark,,,['spark'],2111.0,1909.0,https://pypi.org/project/findspark,2020-06-08 09:32:23.000000,202.0,1488974.0,1498144.0,https://anaconda.org/conda-forge/findspark,2018-07-06 12:57:33.438000,568599.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n425,Cornac,PreferredAI/cornac,,recommender-systems,https://github.com/PreferredAI/cornac,https://github.com/PreferredAI/cornac,Apache-2.0,2018-07-17 06:31:35.000000,2021-08-25 15:02:40.000000,2021-08-13 06:18:09.000000,74,4.0,55.0,398.0,1223.0,A Comparative Framework for Multimodal Recommender Systems.,13.0,24,True,2021-07-13 09:51:11.000000,1.13.5,43.0,cornac,conda-forge/cornac,,,,59.0,57.0,https://pypi.org/project/cornac,2021-07-13 10:05:17.000000,2.0,5498.0,11805.0,https://anaconda.org/conda-forge/cornac,2021-07-13 13:03:31.017000,170309.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n426,sklearn-crfsuite,TeamHG-Memex/sklearn-crfsuite,,sklearn-utils,https://github.com/TeamHG-Memex/sklearn-crfsuite,https://github.com/TeamHG-Memex/sklearn-crfsuite,MIT,2015-11-26 21:15:41.000000,2020-12-30 08:00:27.000000,2019-12-05 08:17:22.000000,158,33.0,23.0,375.0,46.0,scikit-learn inspired API for CRFsuite.,6.0,24,False,2017-06-22 18:49:27.000000,0.3.6,9.0,sklearn-crfsuite,,,,['sklearn'],3427.0,3031.0,https://pypi.org/project/sklearn-crfsuite,2017-06-22 18:49:27.000000,396.0,91805.0,91805.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n427,pyvips,libvips/pyvips,,image,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000000,2021-07-26 12:59:52.000000,2021-07-26 12:59:40.000000,30,85.0,157.0,347.0,399.0,python binding for libvips using cffi.,11.0,24,True,2021-06-28 10:56:34.000000,2.1.15,21.0,pyvips,conda-forge/pyvips,,,,234.0,212.0,https://pypi.org/project/pyvips,2021-06-28 10:56:34.000000,22.0,11964.0,12423.0,https://anaconda.org/conda-forge/pyvips,2021-06-28 13:47:18.054000,11035.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n428,datalad,datalad/datalad,,others,https://github.com/datalad/datalad,https://github.com/datalad/datalad,MIT,2013-11-01 19:40:08.000000,2021-08-26 14:26:40.000000,2021-08-26 00:32:23.000000,81,722.0,2453.0,253.0,14291.0,\"Keep code, data, containers under control with git and git-annex.\",42.0,24,False,2021-08-03 17:26:48.000000,0.14.7,71.0,datalad,conda-forge/datalad,,,,26.0,,https://pypi.org/project/datalad,2021-08-03 17:27:04.000000,26.0,4112.0,7880.0,https://anaconda.org/conda-forge/datalad,2021-08-05 22:44:39.328000,154497.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n429,Orion,Epistimio/orion,,hyperopt,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21.000000,2021-08-25 20:27:38.000000,2021-08-23 19:38:54.000000,43,47.0,128.0,197.0,2914.0,Asynchronous Distributed Hyperparameter Optimization.,23.0,24,False,2021-08-23 21:04:28.000000,0.1.16,17.0,orion,,,,,50.0,42.0,https://pypi.org/project/orion,2021-08-23 21:04:28.000000,8.0,2208.0,2208.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n430,cortex,cortexlabs/cortex,,model-serialisation,https://github.com/cortexlabs/cortex,https://github.com/cortexlabs/cortex,Apache-2.0,2019-01-24 04:43:14.000000,2021-08-05 04:33:35.000000,2021-08-05 04:24:57.000000,574,99.0,968.0,7579.0,2272.0,Containers as a service on AWS.,21.0,23,True,2021-08-05 04:33:35.000000,0.40.0,60.0,cortex,,,,,0.0,,https://pypi.org/project/cortex,2021-08-05 04:27:22.000000,0.0,1436.0,1436.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n431,Apex,NVIDIA/apex,,gpu-utilities,https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000000,2021-08-20 23:42:47.000000,2021-08-20 23:42:46.000000,784,494.0,383.0,5652.0,849.0,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,83.0,23,True,,,1.0,,conda-forge/nvidia-apex,,,['pytorch'],684.0,684.0,,,,,2728.0,https://anaconda.org/conda-forge/nvidia-apex,2021-04-22 16:13:47.237000,60017.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n432,snownlp,isnowfy/snownlp,,chinese-nlp,https://github.com/isnowfy/snownlp,https://github.com/isnowfy/snownlp,MIT,2013-11-26 11:46:56.000000,2020-01-19 02:39:05.000000,2020-01-19 02:39:03.000000,1276,37.0,65.0,5531.0,57.0,Python library for processing Chinese text.,8.0,23,False,2015-09-27 16:35:23.000000,0.12.3,17.0,snownlp,,,,,742.0,666.0,https://pypi.org/project/snownlp,2015-09-27 16:35:23.000000,76.0,3493.0,3493.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n433,neon,NervanaSystems/neon,,ml-frameworks,https://github.com/NervanaSystems/neon,https://github.com/NervanaSystems/neon,Apache-2.0,2014-10-16 01:00:17.000000,2020-12-23 01:21:42.000000,2019-05-22 18:27:54.000000,848,87.0,306.0,3851.0,1118.0,Intel Nervana reference deep learning framework committed to best performance on all hardware.,109.0,23,False,2018-01-05 23:25:04.000000,2.6.0,32.0,nervananeon,,,,,49.0,48.0,https://pypi.org/project/nervananeon,2018-01-05 23:25:04.000000,1.0,182.0,186.0,,,,,,,,3.0,317.0,,,,,,,,,,,,,,,,,,,,\n434,Snips NLU,snipsco/snips-nlu,,nlp,https://github.com/snipsco/snips-nlu,https://github.com/snipsco/snips-nlu,Apache-2.0,2017-02-08 16:16:36.000000,2021-05-03 12:18:32.000000,2021-05-03 12:18:31.000000,475,53.0,196.0,3540.0,2154.0,Snips Python library to extract meaning from text.,22.0,23,True,2020-01-15 10:13:17.000000,0.20.2,58.0,snips-nlu,,,,,16.0,,https://pypi.org/project/snips-nlu,2020-01-15 10:13:17.000000,16.0,2923.0,2923.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n435,MatchZoo,NTMC-Community/MatchZoo,,nlp,https://github.com/NTMC-Community/MatchZoo,https://github.com/NTMC-Community/MatchZoo,Apache-2.0,2017-06-08 08:55:22.000000,2021-06-03 02:58:49.000000,2021-06-02 17:38:16.000000,886,28.0,429.0,3495.0,1810.0,\"Facilitating the design, comparison and sharing of deep text matching models.\",36.0,23,True,2019-10-24 13:09:11.000000,2.2.0,5.0,matchzoo,,,,['tensorflow'],10.0,10.0,https://pypi.org/project/matchzoo,2019-10-24 13:09:11.000000,,256.0,256.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n436,TensorTrade,tensortrade-org/tensortrade,,financial-data,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32.000000,2021-08-26 05:47:44.000000,2021-08-24 19:27:16.000000,784,21.0,154.0,3443.0,904.0,\"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.\",54.0,23,True,2021-05-10 18:04:30.000000,1.0.3,27.0,tensortrade,,,,,22.0,21.0,https://pypi.org/project/tensortrade,2021-05-10 18:00:35.000000,1.0,978.0,978.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n437,yellowbrick,DistrictDataLabs/yellowbrick,,interpretability,https://github.com/DistrictDataLabs/yellowbrick,https://github.com/DistrictDataLabs/yellowbrick,Apache-2.0,2016-05-18 14:12:17.000000,2021-07-13 11:59:04.000000,2021-07-12 16:25:52.000000,480,95.0,543.0,3334.0,,Visual analysis and diagnostic tools to facilitate machine learning model selection.,100.0,23,True,2021-02-13 20:31:18.000000,1.3.post1,22.0,yellowbrick,,,,['sklearn'],62.0,,https://pypi.org/project/yellowbrick,2021-02-13 20:42:26.000000,62.0,243181.0,243181.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n438,TRFL,deepmind/trfl,,reinforcement-learning,https://github.com/deepmind/trfl,https://github.com/deepmind/trfl,Apache-2.0,2018-08-08 14:44:11.000000,2021-08-16 12:19:16.000000,2021-08-16 11:45:18.000000,372,6.0,16.0,3079.0,123.0,TensorFlow Reinforcement Learning.,13.0,23,True,2021-08-16 12:19:16.000000,1.2.0,5.0,trfl,,,,['tensorflow'],62.0,58.0,https://pypi.org/project/trfl,2021-08-16 12:19:16.000000,4.0,4259.0,4259.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n439,Image Super-Resolution,idealo/image-super-resolution,,image,https://github.com/idealo/image-super-resolution,https://github.com/idealo/image-super-resolution,Apache-2.0,2018-11-26 13:41:13.000000,2021-06-02 09:48:09.000000,2021-06-02 09:45:13.000000,547,77.0,107.0,3004.0,150.0,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,10.0,23,True,2020-01-08 15:37:35.000000,2.2.0,11.0,ISR,,idealo/image-super-resolution-gpu,,['tensorflow'],67.0,59.0,https://pypi.org/project/ISR,2020-01-08 15:37:35.000000,8.0,5752.0,5756.0,,,,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,,159.0,3.0,,,,,,,,,,,,,,,,,,,,,\n440,Chartify,spotify/chartify,,data-viz,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05.000000,2021-03-20 11:20:12.000000,2021-02-05 18:49:02.000000,259,40.0,30.0,2963.0,195.0,Python library that makes it easy for data scientists to create charts.,21.0,23,True,2020-11-02 22:14:08.000000,3.0.3,16.0,chartify,conda-forge/chartify,,,,62.0,57.0,https://pypi.org/project/chartify,2020-11-02 22:14:08.000000,5.0,1837.0,2308.0,https://anaconda.org/conda-forge/chartify,2020-11-07 19:52:50.628000,15571.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n441,SHOGUN,shogun-toolbox/shogun,,ml-frameworks,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32.000000,2021-07-19 16:40:30.000000,2020-12-08 16:56:38.000000,1049,462.0,1092.0,2840.0,16205.0,Unified and efficient Machine Learning.,248.0,23,True,2019-07-05 10:23:31.000000,shogun_6.1.4,10.0,,conda-forge/shogun,shogun/shogun,,,,,,,,,2173.0,https://anaconda.org/conda-forge/shogun,2018-06-25 20:49:17.070000,105956.0,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1464.0,3.0,,,,,,,,,,shogun,,,,,,,,,,,\n442,tensorflow-graphics,tensorflow/graphics,,image,https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44.000000,2021-08-25 12:06:04.000000,2021-08-25 12:04:44.000000,302,121.0,85.0,2505.0,724.0,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,34.0,23,True,2021-08-06 02:12:18.000000,2021.8.6,22.0,tensorflow-graphics,,,,['tensorflow'],6.0,,https://pypi.org/project/tensorflow-graphics,2021-08-06 02:12:18.000000,6.0,3500.0,3500.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n443,scikit-opt,guofei9987/scikit-opt,,sklearn-utils,https://github.com/guofei9987/scikit-opt,https://github.com/guofei9987/scikit-opt,MIT,2017-12-05 10:20:41.000000,2021-08-10 02:16:44.000000,2021-08-10 02:16:44.000000,578,22.0,92.0,2475.0,294.0,\"Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune..\",13.0,23,True,2021-06-28 12:45:52.000000,0.6.5,22.0,scikit-opt,,,,['sklearn'],44.0,41.0,https://pypi.org/project/scikit-opt,2021-06-28 12:36:56.000000,3.0,1080.0,1080.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n444,ART,Trusted-AI/adversarial-robustness-toolbox,,adversarial,https://github.com/Trusted-AI/adversarial-robustness-toolbox,https://github.com/Trusted-AI/adversarial-robustness-toolbox,MIT,2018-03-15 14:40:43.000000,2021-08-26 13:21:09.000000,2021-08-25 10:20:19.000000,679,64.0,505.0,2422.0,,\"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..\",81.0,23,True,2021-07-12 12:12:56.000000,1.7.1,33.0,adversarial-robustness-toolbox,,,,,146.0,146.0,https://pypi.org/project/adversarial-robustness-toolbox,2021-07-12 11:31:04.000000,0.0,3721.0,3721.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n445,Arctic,man-group/arctic,,data-containers,https://github.com/man-group/arctic,https://github.com/man-group/arctic,LGPL-2.1,2015-05-29 13:37:30.000000,2021-07-23 15:29:07.000000,2021-07-23 15:29:07.000000,462,86.0,439.0,2385.0,1079.0,Arctic is a high performance datastore for numeric data.,71.0,23,True,2020-12-01 23:17:26.000000,1.79.4,83.0,arctic,conda-forge/arctic,,,,172.0,130.0,https://pypi.org/project/arctic,2020-12-01 23:16:12.000000,42.0,4754.0,5321.0,https://anaconda.org/conda-forge/arctic,2019-12-16 08:57:24.231000,15256.0,,,,,3.0,159.0,,,,,,,,,,,,,,,,,,,,\n446,PaddleSeg,PaddlePaddle/PaddleSeg,,image,https://github.com/PaddlePaddle/PaddleSeg,https://github.com/PaddlePaddle/PaddleSeg,Apache-2.0,2019-08-26 02:32:22.000000,2021-08-26 12:09:57.000000,2021-08-26 08:31:06.000000,528,330.0,288.0,2383.0,,End-to-end image segmentation kit based on PaddlePaddle.,53.0,23,True,2021-07-13 13:07:18.000000,2.2.0,12.0,paddleseg,,,,['paddle'],273.0,273.0,https://pypi.org/project/paddleseg,2021-07-13 13:05:34.000000,0.0,548.0,548.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n447,analytics-zoo,intel-analytics/analytics-zoo,,distributed-ml,https://github.com/intel-analytics/analytics-zoo,https://github.com/intel-analytics/analytics-zoo,Apache-2.0,2017-05-05 02:27:30.000000,2021-08-26 10:08:47.000000,2021-08-26 08:37:17.000000,679,558.0,759.0,2360.0,3275.0,\"Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray.\",104.0,23,True,2021-07-19 00:31:21.000000,0.11.0,96.0,analytics-zoo,,,,['spark'],2.0,2.0,https://pypi.org/project/analytics-zoo,2021-08-22 16:20:28.000000,,1671.0,1671.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n448,PandasGUI,adamerose/pandasgui,,data-viz,https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT,2019-06-12 02:19:42.000000,2021-08-14 09:16:41.000000,2021-08-14 09:13:38.000000,141,27.0,104.0,2342.0,703.0,A GUI for Pandas DataFrames.,9.0,23,True,2021-08-14 09:14:51.000000,0.2.13,43.0,pandasgui,,,,['pandas'],92.0,90.0,https://pypi.org/project/pandasgui,2021-08-14 09:14:51.000000,2.0,7610.0,7610.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n449,Enigma Catalyst,enigmampc/catalyst,,financial-data,https://github.com/enigmampc/catalyst,https://github.com/enigmampc/catalyst,Apache-2.0,2017-06-13 22:31:34.000000,2021-01-05 19:10:30.000000,2020-12-28 10:58:58.000000,647,135.0,356.0,2274.0,6362.0,An Algorithmic Trading Library for Crypto-Assets in Python.,145.0,23,True,2018-11-11 16:46:28.000000,0.5.21,52.0,enigma-catalyst,,,,,25.0,23.0,https://pypi.org/project/enigma-catalyst,2018-11-11 16:46:28.000000,2.0,1678.0,1678.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n450,fastNLP,fastnlp/fastNLP,,nlp,https://github.com/fastnlp/fastNLP,https://github.com/fastnlp/fastNLP,Apache-2.0,2018-03-07 13:30:20.000000,2021-07-13 05:14:00.000000,2021-07-13 05:14:00.000000,380,22.0,138.0,2266.0,1743.0,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,50.0,23,True,2020-11-06 15:31:29.000000,0.6.0,10.0,fastnlp,,,,,41.0,40.0,https://pypi.org/project/fastnlp,2019-02-04 02:35:37.000000,1.0,949.0,950.0,,,,,,,,3.0,63.0,,,,,,,,,,,,,,,,,,,,\n451,knockknock,huggingface/knockknock,,ml-experiments,https://github.com/huggingface/knockknock,https://github.com/huggingface/knockknock,MIT,2019-03-20 13:08:55.000000,2021-07-18 15:25:50.000000,2020-03-16 04:26:47.000000,182,14.0,21.0,2217.0,75.0,Knock Knock: Get notified when your training ends with only two additional lines of code.,18.0,23,False,2020-03-04 04:15:47.000000,0.1.8,10.0,knockknock,conda-forge/knockknock,,,,201.0,198.0,https://pypi.org/project/knockknock,2020-03-16 14:30:23.000000,3.0,1365.0,1706.0,https://anaconda.org/conda-forge/knockknock,2020-03-17 01:52:16.317000,7502.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n452,Texar,asyml/texar,,nlp,https://github.com/asyml/texar,https://github.com/asyml/texar,Apache-2.0,2017-07-22 19:02:05.000000,2021-08-26 09:49:50.000000,2020-07-29 00:38:30.000000,356,33.0,126.0,2199.0,1719.0,\"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the..\",41.0,23,False,2019-11-19 04:11:18.000000,0.2.4,6.0,texar,,,,['tensorflow'],17.0,15.0,https://pypi.org/project/texar,2019-11-19 04:11:18.000000,2.0,199.0,199.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n453,GluonTS,awslabs/gluon-ts,,time-series-data,https://github.com/awslabs/gluon-ts,https://github.com/awslabs/gluon-ts,Apache-2.0,2019-05-15 17:17:29.000000,2021-08-26 10:17:28.000000,2021-08-26 10:17:28.000000,437,222.0,412.0,2080.0,777.0,Probabilistic time series modeling in Python.,78.0,23,True,2021-08-12 10:05:38.000000,0.8.1,42.0,gluonts,,,,['mxnet'],0.0,,https://pypi.org/project/gluonts,2021-08-12 10:05:38.000000,0.0,54730.0,54730.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n454,textacy,chartbeat-labs/textacy,,nlp,https://github.com/chartbeat-labs/textacy,https://github.com/chartbeat-labs/textacy,Apache-2.0,2016-02-03 16:52:45.000000,2021-05-31 17:18:30.000000,2021-05-31 16:43:05.000000,226,30.0,210.0,1729.0,,\"NLP, before and after spaCy.\",31.0,23,True,2021-04-12 15:49:48.000000,0.11.0,30.0,textacy,conda-forge/textacy,,,,154.0,,https://pypi.org/project/textacy,2021-04-12 15:49:48.000000,154.0,32484.0,34376.0,https://anaconda.org/conda-forge/textacy,2021-04-13 18:57:20.207000,96537.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n455,Multicore-TSNE,DmitryUlyanov/Multicore-TSNE,,data-viz,https://github.com/DmitryUlyanov/Multicore-TSNE,https://github.com/DmitryUlyanov/Multicore-TSNE,BSD-3-Clause,2016-10-19 05:46:52.000000,2021-06-03 12:17:47.000000,2020-08-19 14:58:00.000000,200,37.0,20.0,1613.0,113.0,Parallel t-SNE implementation with Python and Torch wrappers.,15.0,23,True,2017-11-08 13:32:20.000000,0.0.1,3.0,MulticoreTSNE,conda-forge/multicore-tsne,,,['pytorch'],274.0,246.0,https://pypi.org/project/MulticoreTSNE,2019-01-09 07:23:04.000000,28.0,4242.0,4532.0,https://anaconda.org/conda-forge/multicore-tsne,2021-04-23 10:26:30.160000,9574.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n456,PyTextRank,DerwenAI/pytextrank,,nlp,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000000,2021-08-22 17:14:38.000000,2021-07-25 06:03:11.000000,307,20.0,56.0,1602.0,,Python implementation of TextRank for phrase extraction and summarization of text documents.,15.0,23,True,2021-07-24 20:28:32.000000,3.2.1,17.0,pytextrank,,,,,190.0,178.0,https://pypi.org/project/pytextrank,2021-07-24 20:28:32.000000,12.0,14343.0,14343.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n457,TensorFlow Privacy,tensorflow/privacy,,privacy-ml,https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000000,2021-08-26 02:07:19.000000,2021-08-26 02:07:18.000000,317,62.0,81.0,1468.0,518.0,Library for training machine learning models with privacy for training data.,43.0,23,True,2021-08-20 21:22:17.000000,0.7.2,16.0,tensorflow-privacy,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow-privacy,2021-08-20 21:22:17.000000,2.0,15204.0,15205.0,,,,,,,,2.0,46.0,,,,,,,,,,,,,,,,,,,,\n458,checklist,marcotcr/checklist,,interpretability,https://github.com/marcotcr/checklist,https://github.com/marcotcr/checklist,MIT,2020-03-09 17:18:49.000000,2021-08-23 12:19:28.000000,2021-08-09 21:14:13.000000,133,8.0,72.0,1458.0,230.0,Beyond Accuracy: Behavioral Testing of NLP models with CheckList.,10.0,23,True,2021-05-24 16:45:59.000000,0.0.11,10.0,checklist,,,,['jupyter'],24.0,22.0,https://pypi.org/project/checklist,2021-05-24 16:45:59.000000,2.0,15131.0,15131.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n459,bonobo,python-bonobo/bonobo,,data-pipelines,https://github.com/python-bonobo/bonobo,https://github.com/python-bonobo/bonobo,Apache-2.0,2016-12-09 04:03:23.000000,2021-08-23 19:42:27.000000,2021-03-10 15:44:00.000000,119,69.0,108.0,1454.0,978.0,Extract Transform Load for Python 3.5+.,37.0,23,True,2019-05-16 13:19:48.000000,0.6.4,38.0,bonobo,,,http://docs.bonobo-project.org/en/master/,,174.0,122.0,https://pypi.org/project/bonobo,2019-07-20 13:33:19.000000,52.0,2736.0,2736.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n460,Torch Points 3D,nicolas-chaulet/torch-points3d,,image,https://github.com/nicolas-chaulet/torch-points3d,https://github.com/nicolas-chaulet/torch-points3d,BSD-3-Clause,2019-12-06 11:33:34.000000,2021-08-23 21:01:05.000000,2021-08-02 14:53:46.000000,222,71.0,198.0,1423.0,1718.0,Pytorch framework for doing deep learning on point clouds.,26.0,23,True,2021-04-30 09:00:22.000000,1.3.0,14.0,torch-points3d,,,,['pytorch'],3.0,3.0,https://pypi.org/project/torch-points3d,2021-04-30 09:00:22.000000,,782.0,782.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n461,modAL,modAL-python/modAL,,others,https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000000,2021-08-25 18:04:51.000000,2021-01-07 09:40:40.000000,211,59.0,52.0,1387.0,648.0,A modular active learning framework for Python.,14.0,23,True,2021-01-07 09:47:49.000000,0.4.1,12.0,modAL,,,,['sklearn'],104.0,96.0,https://pypi.org/project/modAL,2021-01-07 09:47:49.000000,8.0,3061.0,3061.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,,,\n462,EfficientNets,rwightman/gen-efficientnet-pytorch,,pytorch-utils,https://github.com/rwightman/gen-efficientnet-pytorch,https://github.com/rwightman/gen-efficientnet-pytorch,Apache-2.0,2019-05-11 19:35:56.000000,2021-07-08 19:05:05.000000,2021-07-08 19:03:55.000000,185,,49.0,1375.0,108.0,\"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.\",5.0,23,True,2021-07-08 19:05:05.000000,1.0.2,10.0,geffnet,,,,['pytorch'],68.0,68.0,https://pypi.org/project/geffnet,2021-07-08 19:05:05.000000,0.0,5787.0,5787.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n463,TNT,pytorch/tnt,,ml-experiments,https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58.000000,2021-01-22 09:14:29.000000,2021-01-05 19:36:17.000000,187,30.0,35.0,1335.0,156.0,\"Simple tools for logging and visualizing, loading and training.\",35.0,23,True,2019-11-15 12:57:59.000000,0.0.5.1,3.0,torchnet,,,,['pytorch'],50.0,,https://pypi.org/project/torchnet,2018-07-29 23:16:03.000000,50.0,15418.0,15418.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n464,FARM,deepset-ai/FARM,,nlp,https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12.000000,2021-08-20 08:37:54.000000,2021-08-20 08:37:54.000000,193,38.0,367.0,1288.0,588.0,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,35.0,23,True,2021-06-10 09:45:12.000000,0.8.0,24.0,farm,,,,['pytorch'],2.0,,https://pypi.org/project/farm,2021-06-10 09:41:53.000000,2.0,14414.0,14414.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n465,tensorly,tensorly/tensorly,,others,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52.000000,2021-08-26 14:40:15.000000,2021-08-26 14:40:14.000000,207,39.0,118.0,1073.0,,TensorLy: Tensor Learning in Python.,46.0,23,True,2021-04-15 15:01:47.000000,0.5.1,17.0,tensorly,conda-forge/tensorly,,,,184.0,164.0,https://pypi.org/project/tensorly,2021-04-14 11:18:01.000000,20.0,5639.0,9763.0,https://anaconda.org/conda-forge/tensorly,2020-12-07 22:44:30.386000,160854.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n466,ogb,snap-stanford/ogb,,graph,https://github.com/snap-stanford/ogb,https://github.com/snap-stanford/ogb,MIT,2019-11-22 22:13:57.000000,2021-08-24 21:35:00.000000,2021-08-24 21:34:59.000000,211,1.0,157.0,1054.0,533.0,\"Benchmark datasets, data loaders, and evaluators for graph machine learning.\",15.0,23,True,2021-04-07 08:44:37.000000,1.3.1,14.0,ogb,,,,,148.0,148.0,https://pypi.org/project/ogb,2021-04-07 08:44:37.000000,0.0,7467.0,7467.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n467,ChainerRL,chainer/chainerrl,,reinforcement-learning,https://github.com/chainer/chainerrl,https://github.com/chainer/chainerrl,MIT,2017-01-30 04:58:15.000000,2021-08-10 18:25:48.000000,2021-04-17 06:02:30.000000,209,75.0,147.0,981.0,3471.0,ChainerRL is a deep reinforcement learning library built on top of Chainer.,29.0,23,True,2020-02-14 05:35:56.000000,0.8.0,10.0,chainerrl,,,,,117.0,103.0,https://pypi.org/project/chainerrl,2020-02-14 05:35:56.000000,14.0,399.0,399.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n468,keract,philipperemy/keract,,interpretability,https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57.000000,2021-07-28 09:17:30.000000,2021-07-28 09:17:30.000000,180,1.0,81.0,914.0,382.0,Layers Outputs and Gradients in Keras. Made easy.,16.0,23,True,2021-06-19 16:14:57.000000,4.5.0,38.0,keract,,,,['tensorflow'],99.0,94.0,https://pypi.org/project/keract,2021-06-19 16:14:15.000000,5.0,1686.0,1686.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n469,arq,samuelcolvin/arq,,data-pipelines,https://github.com/samuelcolvin/arq,https://github.com/samuelcolvin/arq,MIT,2016-07-21 18:24:42.000000,2021-08-16 07:52:11.000000,2021-07-06 11:20:03.000000,74,26.0,87.0,911.0,309.0,Fast job queuing and RPC in python with asyncio and redis.,28.0,23,True,2021-07-06 11:22:17.000000,0.21,53.0,arq,,,,,78.0,70.0,https://pypi.org/project/arq,2021-07-06 11:24:00.000000,8.0,15051.0,15051.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n470,scikit-cuda,lebedov/scikit-cuda,,gpu-utilities,https://github.com/lebedov/scikit-cuda,https://github.com/lebedov/scikit-cuda,BSD-3-Clause,2010-09-27 02:02:07.000000,2021-07-13 12:58:06.000000,2021-07-13 12:58:06.000000,163,47.0,165.0,852.0,1032.0,Python interface to GPU-powered libraries.,45.0,23,True,2019-05-27 00:29:00.000000,0.5.3,7.0,scikit-cuda,,,,,206.0,136.0,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00.000000,70.0,1010.0,1010.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n471,stockstats,jealous/stockstats,,financial-data,https://github.com/jealous/stockstats,https://github.com/jealous/stockstats,BSD-3-Clause,2016-06-05 15:21:22.000000,2021-08-03 02:23:19.000000,2021-08-03 02:23:19.000000,228,33.0,33.0,838.0,26.0,Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.,8.0,23,True,2020-10-17 11:10:43.000000,0.3.2,14.0,stockstats,,,,,352.0,304.0,https://pypi.org/project/stockstats,2020-10-17 11:10:43.000000,48.0,20285.0,20285.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n472,kapre,keunwoochoi/kapre,,audio,https://github.com/keunwoochoi/kapre,https://github.com/keunwoochoi/kapre,MIT,2016-12-14 18:36:36.000000,2021-07-27 23:33:59.000000,2021-03-25 21:02:44.000000,130,10.0,80.0,765.0,190.0,kapre: Keras Audio Preprocessors.,13.0,23,True,2021-03-18 22:14:02.000000,Kapre-0.3.5,21.0,kapre,,,,['tensorflow'],1033.0,1011.0,https://pypi.org/project/kapre,2020-09-29 18:49:13.000000,22.0,2241.0,2241.0,,,,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,,,\n473,Node2Vec,eliorc/node2vec,,graph,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000000,2021-04-16 07:45:36.000000,2021-04-16 07:42:56.000000,175,3.0,65.0,754.0,56.0,Implementation of the node2vec algorithm.,8.0,23,True,2021-04-16 07:45:36.000000,0.4.3,14.0,node2vec,conda-forge/node2vec,,,,194.0,184.0,https://pypi.org/project/node2vec,2021-04-02 06:33:26.000000,10.0,8012.0,8493.0,https://anaconda.org/conda-forge/node2vec,2020-04-25 22:41:13.714000,18777.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n474,GPUtil,anderskm/gputil,,gpu-utilities,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43.000000,2020-10-01 05:42:49.000000,2019-08-16 09:00:15.000000,84,11.0,14.0,753.0,140.0,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,13.0,23,False,2018-12-18 09:12:13.000000,1.4.0,8.0,gputil,,,,,1474.0,1372.0,https://pypi.org/project/gputil,2018-12-18 09:12:13.000000,102.0,154795.0,154795.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n475,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,,data-viz,https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14.000000,2021-05-10 08:15:20.000000,2021-05-10 08:14:09.000000,86,23.0,64.0,709.0,289.0,Bokeh Plotting Backend for Pandas and GeoPandas.,12.0,23,True,2021-04-11 17:43:13.000000,0.5.5,16.0,pandas-bokeh,,,,['pandas'],219.0,209.0,https://pypi.org/project/pandas-bokeh,2021-04-11 17:43:13.000000,10.0,8962.0,8962.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n476,NeuPy,itdxer/neupy,,ml-frameworks,https://github.com/itdxer/neupy,https://github.com/itdxer/neupy,MIT,2015-08-24 19:45:11.000000,2021-06-08 20:04:22.000000,2019-09-02 19:02:38.000000,149,28.0,234.0,691.0,1145.0,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,7.0,23,False,2019-04-04 19:44:59.000000,0.8.2,34.0,neupy,,,,,125.0,114.0,https://pypi.org/project/neupy,2019-04-04 19:43:06.000000,11.0,1606.0,1606.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n477,scikit-multilearn,scikit-multilearn/scikit-multilearn,,sklearn-utils,https://github.com/scikit-multilearn/scikit-multilearn,https://github.com/scikit-multilearn/scikit-multilearn,BSD-2-Clause,2014-04-30 13:05:44.000000,2020-06-30 10:19:46.000000,2019-05-21 11:29:06.000000,123,66.0,93.0,671.0,487.0,A scikit-learn based module for multi-label et. al. classification.,15.0,23,False,2018-12-10 16:24:47.000000,0.2.0,6.0,scikit-multilearn,,,,['sklearn'],541.0,519.0,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47.000000,22.0,79491.0,79491.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n478,Sentinelsat,sentinelsat/sentinelsat,,geospatial-data,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26.000000,2021-08-24 09:00:17.000000,2021-08-24 09:00:17.000000,194,6.0,297.0,654.0,,Search and download Copernicus Sentinel satellite images.,41.0,23,False,2021-08-19 17:37:51.000000,1.1.0,39.0,sentinelsat,,,,,265.0,221.0,https://pypi.org/project/sentinelsat,2021-08-19 17:37:51.000000,44.0,19568.0,19571.0,,,,,,,,3.0,223.0,,,,,,,,,,,,,,,,,,,,\n479,python-ternary,marcharper/python-ternary,,data-viz,https://github.com/marcharper/python-ternary,https://github.com/marcharper/python-ternary,MIT,2012-08-07 23:48:55.000000,2021-08-24 03:43:21.000000,2021-08-24 03:43:21.000000,117,24.0,88.0,452.0,392.0,Ternary plotting library for python with matplotlib.,27.0,23,True,2021-02-17 18:38:15.000000,1.0.8,11.0,python-ternary,conda-forge/python-ternary,,,,87.0,67.0,https://pypi.org/project/python-ternary,2021-02-17 18:38:15.000000,20.0,13666.0,14568.0,https://anaconda.org/conda-forge/python-ternary,2021-02-17 22:38:55.625000,57757.0,,,,,3.0,17.0,,,,,,,,,,,,,,,,,,,,\n480,vega,vega/ipyvega,,data-viz,https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000000,2021-08-11 21:51:27.565000,2021-08-02 08:17:20.000000,46,11.0,80.0,311.0,521.0,IPython/Jupyter notebook module for Vega and Vega-Lite.,10.0,23,True,2021-06-03 20:52:09.000000,3.5.0,38.0,vega,conda-forge/vega,,,['jupyter'],148.0,,https://pypi.org/project/vega,2021-06-03 20:52:09.000000,148.0,27512.0,34799.0,https://anaconda.org/conda-forge/vega,2021-08-11 21:51:27.565000,451851.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n481,NIPY,nipy/nipy,,medical-data,https://github.com/nipy/nipy,https://github.com/nipy/nipy,BSD-3-Clause,2010-05-02 10:00:33.000000,2021-06-20 21:19:21.000000,2021-03-29 16:56:48.000000,123,43.0,110.0,302.0,6427.0,Neuroimaging in Python FMRI analysis package.,63.0,23,True,2018-02-19 14:14:08.000000,0.4.2,6.0,nipy,conda-forge/nipy,,,,82.0,,https://pypi.org/project/nipy,2018-02-19 14:14:08.000000,82.0,1669.0,3424.0,https://anaconda.org/conda-forge/nipy,2020-05-04 19:38:04.112000,86033.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n482,py3nvml,fbcotter/py3nvml,,gpu-utilities,https://github.com/fbcotter/py3nvml,https://github.com/fbcotter/py3nvml,BSD-3-Clause,2016-11-21 01:07:37.000000,2021-07-07 09:10:57.000000,2021-07-07 09:10:57.000000,24,1.0,10.0,187.0,81.0,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,7.0,23,False,2020-04-06 16:02:10.000000,0.2.6,13.0,py3nvml,conda-forge/py3nvml,,,,331.0,311.0,https://pypi.org/project/py3nvml,2020-04-06 16:02:10.000000,20.0,123338.0,124452.0,https://anaconda.org/conda-forge/py3nvml,2020-10-10 10:41:08.987000,21180.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n483,PyStan,stan-dev/pystan,,probabilistics,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,ISC,2017-03-06 19:56:42.094000,2021-07-29 15:13:30.000000,2021-06-03 10:18:34.000000,24,12.0,142.0,105.0,,\"PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io.\",8.0,23,False,2021-06-03 10:17:59.000000,3.2.0,64.0,pystan,conda-forge/pystan,,,,342.0,,https://pypi.org/project/pystan,2021-06-03 10:17:59.000000,342.0,1521930.0,1544253.0,https://anaconda.org/conda-forge/pystan,2021-05-12 13:39:30.313000,1183147.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n484,mmdnn,Microsoft/MMdnn,,model-serialisation,https://github.com/microsoft/MMdnn,https://github.com/microsoft/MMdnn,MIT,2017-08-16 08:03:52.000000,2021-03-01 14:17:24.000000,2020-08-14 02:32:30.000000,942,317.0,287.0,5415.0,1083.0,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,85.0,22,True,2020-07-24 06:34:39.000000,0.3.1,12.0,mmdnn,,,,,69.0,66.0,https://pypi.org/project/mmdnn,2020-07-24 06:34:39.000000,3.0,815.0,891.0,,,,,,,,2.0,3434.0,,,,,,,,,,,,,,,,,,,,\n485,PyTorch3D,facebookresearch/pytorch3d,,image,https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,,2019-10-25 02:23:45.000000,2021-08-23 15:32:43.000000,2021-08-23 15:32:41.000000,643,54.0,643.0,5118.0,,PyTorch3D is FAIR's library of reusable components for deep learning with 3D data.,65.0,22,False,2021-08-05 14:51:34.000000,0.5.0,8.0,pytorch3d,pytorch3d/pytorch3d,,,['pytorch'],101.0,101.0,https://pypi.org/project/pytorch3d,2021-08-05 14:36:30.000000,0.0,9192.0,9899.0,https://anaconda.org/pytorch3d/pytorch3d,2021-08-05 14:36:29.439000,14856.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n486,deep-daze,lucidrains/deep-daze,,image,https://github.com/lucidrains/deep-daze,https://github.com/lucidrains/deep-daze,MIT,2021-01-17 06:00:50.000000,2021-07-04 20:22:19.000000,2021-07-04 20:22:19.000000,240,70.0,65.0,3651.0,,Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation..,12.0,22,True,2021-04-08 01:08:57.000000,0.10.2,64.0,deep-daze,,,,,23.0,23.0,https://pypi.org/project/deep-daze,2021-04-07 18:15:40.000000,,17173.0,17173.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n487,ArrayFire,arrayfire/arrayfire,,gpu-utilities,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000000,2021-08-18 21:15:05.000000,2021-08-18 07:09:46.000000,475,239.0,1247.0,3588.0,5767.0,ArrayFire: a general purpose GPU library.,82.0,22,True,2021-01-08 21:41:09.000000,3.8.0,30.0,arrayfire,,,,,8.0,,https://pypi.org/project/arrayfire,2021-03-05 17:36:30.000000,8.0,500.0,519.0,,,,,,,,3.0,1449.0,,,,,,,,,,,,,,,,,,,,\n488,PyAlgoTrade,gbeced/pyalgotrade,,financial-data,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54.000000,2021-04-19 00:39:07.000000,2018-08-21 02:42:52.000000,1216,45.0,84.0,3455.0,1156.0,Python Algorithmic Trading Library.,11.0,22,False,,,8.0,pyalgotrade,,,,,111.0,90.0,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25.000000,21.0,851.0,851.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n489,segmentation_models,qubvel/segmentation_models,,image,https://github.com/qubvel/segmentation_models,https://github.com/qubvel/segmentation_models,MIT,2018-06-05 13:27:56.000000,2021-05-18 07:51:15.000000,2020-04-17 09:51:20.000000,793,187.0,250.0,3388.0,204.0,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,14.0,22,False,2020-01-10 11:36:02.000000,1.0.1,8.0,segmentation_models,,,,['tensorflow'],24.0,,https://pypi.org/project/segmentation_models,2020-01-10 11:36:02.000000,24.0,18646.0,18646.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n490,AdaNet,tensorflow/adanet,,hyperopt,https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24.000000,2020-07-09 21:03:28.000000,2020-07-09 20:51:04.000000,515,65.0,47.0,3309.0,439.0,Fast and flexible AutoML with learning guarantees.,26.0,22,False,2020-07-09 21:03:28.000000,0.9.0,13.0,adanet,,,,['tensorflow'],41.0,39.0,https://pypi.org/project/adanet,2020-07-09 21:03:28.000000,2.0,1623.0,1623.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n491,TensorWatch,microsoft/tensorwatch,,ml-experiments,https://github.com/microsoft/tensorwatch,https://github.com/microsoft/tensorwatch,MIT,2019-05-15 08:29:34.000000,2021-04-13 09:44:02.000000,2021-01-15 19:46:05.000000,334,50.0,15.0,3156.0,112.0,\"Debugging, monitoring and visualization for Python Machine Learning and Data Science.\",13.0,22,True,2020-03-04 07:26:22.000000,0.9.1,14.0,tensorwatch,,,,,62.0,56.0,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22.000000,6.0,18051.0,18051.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n492,speechbrain,speechbrain/speechbrain,,audio,https://github.com/speechbrain/speechbrain,https://github.com/speechbrain/speechbrain,Apache-2.0,2020-04-28 17:48:45.000000,2021-08-26 01:25:46.000000,2021-08-26 01:25:45.000000,439,46.0,314.0,2865.0,,A PyTorch-based Speech Toolkit.,120.0,22,True,2021-06-17 01:25:19.000000,0.5.9,8.0,speechbrain,,,,['pytorch'],38.0,38.0,https://pypi.org/project/speechbrain,2021-06-17 01:26:07.000000,,3041.0,3041.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n493,Hummingbird,microsoft/hummingbird,,model-serialisation,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000000,2021-08-24 21:59:10.000000,2021-08-06 16:46:54.000000,195,48.0,170.0,2545.0,,Hummingbird compiles trained ML models into tensor computation for faster inference.,24.0,22,True,2021-06-22 21:28:04.000000,0.4.0,13.0,hummingbird-ml,,,,,18.0,18.0,https://pypi.org/project/hummingbird-ml,2021-06-22 21:26:04.000000,,3733.0,3742.0,,,,,,,,2.0,142.0,,,,,,,,,,,,,,,,,,,,\n494,Porcupine,Picovoice/Porcupine,,audio,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000000,2021-08-26 00:24:29.000000,2021-08-16 18:54:09.000000,369,16.0,317.0,2520.0,538.0,On-device wake word detection powered by deep learning.,29.0,22,True,2021-04-14 16:39:57.000000,1.9.5,19.0,pvporcupine,,,,,5.0,5.0,https://pypi.org/project/pvporcupine,2021-04-14 16:39:57.000000,0.0,838.0,838.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n495,layout-parser,Layout-Parser/layout-parser,,image,https://github.com/Layout-Parser/layout-parser,https://github.com/Layout-Parser/layout-parser,Apache-2.0,2020-06-10 20:22:54.000000,2021-08-21 01:28:18.000000,2021-08-21 01:28:18.000000,206,21.0,18.0,2444.0,146.0,A unified toolkit for Deep Learning Based Document Image Analysis.,5.0,22,True,2021-04-12 20:00:00.000000,0.2.0,6.0,layoutparser,,,,,15.0,15.0,https://pypi.org/project/layoutparser,2021-04-12 20:00:00.000000,,2362.0,2362.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n496,MMLSpark,Azure/mmlspark,,distributed-ml,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000000,2021-08-26 09:57:24.000000,2021-08-25 16:47:59.000000,541,211.0,249.0,2403.0,915.0,Microsoft Machine Learning for Apache Spark.,69.0,22,True,2020-10-02 19:36:01.000000,1.0.0-rc3,17.0,mmlspark,,,,['spark'],,,https://pypi.org/project/mmlspark,2020-03-18 01:27:31.000000,,33893.0,33893.0,,,,,,,,3.0,,,,,,,,,,,,,microsoft/SynapseML,,,,,,,,\n497,Luminoth,tryolabs/luminoth,,image,https://github.com/tryolabs/luminoth,https://github.com/tryolabs/luminoth,BSD-3-Clause,2017-02-16 15:07:46.000000,2021-08-25 16:02:32.000000,2020-01-07 20:53:25.000000,403,53.0,127.0,2379.0,838.0,Deep Learning toolkit for Computer Vision.,15.0,22,False,2018-11-09 21:35:17.000000,0.2.3,10.0,luminoth,,,,['tensorflow'],34.0,32.0,https://pypi.org/project/luminoth,2018-11-09 21:35:17.000000,2.0,1291.0,1546.0,,,,,,,,3.0,11754.0,,,,,,,,,,,,,,,,,,,,\n498,Texthero,jbesomi/texthero,,nlp,https://github.com/jbesomi/texthero,https://github.com/jbesomi/texthero,MIT,2020-04-06 15:16:05.000000,2021-07-19 13:56:08.000000,2021-07-19 13:56:08.000000,198,76.0,58.0,2322.0,269.0,\"Text preprocessing, representation and visualization from zero to hero.\",18.0,22,True,2021-07-01 17:11:02.000000,1.1.0,10.0,texthero,,,,,0.0,,https://pypi.org/project/texthero,2021-07-01 17:11:02.000000,0.0,15789.0,15794.0,,,,,,,,3.0,80.0,,,,,,,,,,,,,,,,,,,,\n499,TF Ranking,tensorflow/ranking,,recommender-systems,https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57.000000,2021-07-22 23:55:13.000000,2021-07-22 22:48:31.000000,394,31.0,226.0,2250.0,406.0,Learning to Rank in TensorFlow.,20.0,22,True,2021-07-22 23:55:13.000000,0.4.2,18.0,tensorflow_ranking,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow_ranking,2021-07-22 23:33:10.000000,2.0,26941.0,26941.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n500,Mars,mars-project/mars,,others,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03.000000,2021-08-26 15:11:21.000000,2021-08-26 13:05:55.000000,273,131.0,739.0,2200.0,907.0,\"Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and..\",31.0,22,True,2021-08-23 16:50:43.000000,0.7.1,91.0,pymars,,,,,0.0,,https://pypi.org/project/pymars,2021-08-23 16:50:43.000000,0.0,6356.0,6356.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n501,DDSP,magenta/ddsp,,audio,https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27.000000,2021-08-20 21:42:50.000000,2021-08-18 07:51:02.000000,196,19.0,101.0,1945.0,,DDSP: Differentiable Digital Signal Processing.,27.0,22,True,2021-07-22 22:56:25.000000,1.6.2,36.0,ddsp,,,,['tensorflow'],15.0,15.0,https://pypi.org/project/ddsp,2021-07-30 19:21:03.000000,,1371.0,1371.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n502,STUMPY,TDAmeritrade/stumpy,,time-series-data,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000000,2021-08-23 02:03:16.000000,2021-08-23 02:02:32.000000,184,30.0,230.0,1896.0,,STUMPY is a powerful and scalable Python library for modern time series analysis.,25.0,22,True,2021-07-28 11:44:51.000000,1.9.2,22.0,stumpy,conda-forge/stumpy,,,,0.0,,https://pypi.org/project/stumpy,2021-07-28 11:44:51.000000,0.0,152640.0,153683.0,https://anaconda.org/conda-forge/stumpy,2021-07-28 11:53:53.364000,28172.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n503,vidgear,abhiTronix/vidgear,,image,https://github.com/abhiTronix/vidgear,https://github.com/abhiTronix/vidgear,Apache-2.0,2019-03-17 02:42:42.000000,2021-08-23 04:34:40.000000,2021-04-25 17:12:04.000000,137,4.0,163.0,1879.0,649.0,High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features.,6.0,22,True,2021-04-25 18:49:14.000000,idgear-0.2.1,13.0,vidgear,,,,,127.0,125.0,https://pypi.org/project/vidgear,2021-01-01 07:57:09.000000,2.0,2012.0,2026.0,,,,,,,,3.0,410.0,,,,,,,,,,,,,,,,,,,,\n504,m2cgen,BayesWitnesses/m2cgen,,model-serialisation,https://github.com/BayesWitnesses/m2cgen,https://github.com/BayesWitnesses/m2cgen,MIT,2019-01-13 02:32:55.000000,2021-08-18 22:45:29.000000,2021-08-18 22:45:28.000000,155,36.0,47.0,1870.0,311.0,\"Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart,..\",12.0,22,True,2020-09-18 19:17:26.000000,0.9.0,12.0,m2cgen,,,,,6.0,6.0,https://pypi.org/project/m2cgen,2020-09-18 19:16:17.000000,,29994.0,29994.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n505,accelerate,huggingface/accelerate,,pytorch-utils,https://github.com/huggingface/accelerate,https://github.com/huggingface/accelerate,Apache-2.0,2020-10-30 13:27:12.000000,2021-08-10 08:38:28.000000,2021-08-10 08:40:24.000000,85,26.0,64.0,1782.0,,\"A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision.\",20.0,22,True,2021-08-10 09:46:51.000000,0.4.0,6.0,accelerate,,,,['pytorch'],133.0,133.0,https://pypi.org/project/accelerate,2021-08-10 08:35:35.000000,0.0,28784.0,28784.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n506,reformer-pytorch,lucidrains/reformer-pytorch,,pytorch-utils,https://github.com/lucidrains/reformer-pytorch,https://github.com/lucidrains/reformer-pytorch,MIT,2020-01-09 20:42:37.000000,2021-08-25 11:58:14.000000,2021-08-25 11:57:32.000000,210,11.0,103.0,1577.0,244.0,\"Reformer, the efficient Transformer, in Pytorch.\",10.0,22,True,2021-08-25 11:57:49.000000,1.4.3,138.0,reformer-pytorch,,,,['pytorch'],,,https://pypi.org/project/reformer-pytorch,2021-08-25 11:58:14.000000,,11457.0,11457.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n507,AmpliGraph,Accenture/AmpliGraph,,graph,https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05.000000,2021-05-25 16:56:00.000000,2021-05-25 16:49:48.000000,174,24.0,181.0,1569.0,947.0,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,19.0,22,True,2021-05-25 16:57:42.000000,1.4.0,12.0,ampligraph,,,,['tensorflow'],15.0,15.0,https://pypi.org/project/ampligraph,2021-05-25 16:47:29.000000,,1299.0,1299.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n508,Magnitude,plasticityai/magnitude,,nn-search,https://github.com/plasticityai/magnitude,https://github.com/plasticityai/magnitude,MIT,2018-02-24 07:28:16.000000,2021-02-23 18:10:43.000000,2020-07-17 20:19:46.000000,102,28.0,51.0,1474.0,350.0,\"A fast, efficient universal vector embedding utility package.\",4.0,22,False,2020-05-25 11:26:36.000000,0.1.143,128.0,pymagnitude,,,,,212.0,198.0,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36.000000,14.0,5231.0,5231.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n509,pygraphistry,graphistry/pygraphistry,,graph,https://github.com/graphistry/pygraphistry,https://github.com/graphistry/pygraphistry,BSD-3-Clause,2015-06-02 20:28:42.000000,2021-08-25 04:19:51.000000,2021-08-25 04:19:50.000000,136,56.0,104.0,1420.0,805.0,\"PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated..\",16.0,22,True,2021-08-24 23:44:36.000000,0.20.1,122.0,graphistry,,,,['jupyter'],52.0,48.0,https://pypi.org/project/graphistry,2021-08-24 23:44:36.000000,4.0,939.0,939.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n510,Classy Vision,facebookresearch/ClassyVision,,image,https://github.com/facebookresearch/ClassyVision,https://github.com/facebookresearch/ClassyVision,MIT,2019-09-13 22:54:44.000000,2021-08-25 02:37:33.000000,2021-08-12 01:12:52.000000,234,53.0,58.0,1336.0,382.0,An end-to-end PyTorch framework for image and video classification.,63.0,22,True,2021-07-19 20:08:51.000000,0.6.0,17.0,classy_vision,conda-forge/classy_vision,,,['pytorch'],0.0,,https://pypi.org/project/classy_vision,2021-07-09 22:58:06.000000,0.0,1164.0,1646.0,https://anaconda.org/conda-forge/classy_vision,2020-12-11 20:08:25.437000,9162.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n511,datatable,h2oai/datatable,,data-containers,https://github.com/h2oai/datatable,https://github.com/h2oai/datatable,MPL-2.0,2017-03-03 02:32:59.000000,2021-08-24 18:44:16.000000,2021-08-24 18:44:15.000000,115,134.0,1222.0,1328.0,,A Python package for manipulating 2-dimensional tabular data structures.,29.0,22,True,2021-07-02 00:15:35.000000,1.0.0,16.0,datatable,,,,,6.0,,https://pypi.org/project/datatable,2021-07-01 23:36:34.000000,6.0,94703.0,94726.0,,,,,,,,3.0,1109.0,,,,,,,,,,,,,,,,,,,,\n512,jiant,nyu-mll/jiant,,nlp,https://github.com/nyu-mll/jiant,https://github.com/nyu-mll/jiant,MIT,2018-06-18 18:12:47.000000,2021-07-26 19:02:52.000000,2021-07-26 19:02:52.000000,249,59.0,483.0,1318.0,1920.0,jiant is an nlp toolkit.,56.0,22,True,2021-05-10 18:56:39.000000,2.2.0,19.0,jiant,,,,,2.0,2.0,https://pypi.org/project/jiant,2021-05-10 18:56:39.000000,,259.0,259.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n513,pytorch-forecasting,jdb78/pytorch-forecasting,,time-series-data,https://github.com/jdb78/pytorch-forecasting,https://github.com/jdb78/pytorch-forecasting,MIT,2020-07-03 13:05:24.000000,2021-08-24 19:55:17.000000,2021-08-24 19:55:10.000000,163,95.0,202.0,1293.0,967.0,Time series forecasting with PyTorch.,18.0,22,True,2021-06-04 17:48:44.000000,0.9.0,27.0,pytorch-forecasting,,,,,,,https://pypi.org/project/pytorch-forecasting,2021-06-04 17:48:44.000000,,15682.0,15682.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n514,NiftyNet,NifTK/NiftyNet,,medical-data,https://github.com/NifTK/NiftyNet,https://github.com/NifTK/NiftyNet,Apache-2.0,2017-08-30 07:55:43.000000,2020-04-21 19:54:52.000000,2020-04-21 19:54:51.000000,385,102.0,224.0,1288.0,2848.0,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,58.0,22,False,2019-10-10 10:59:33.000000,0.6.0,11.0,niftynet,,,,['tensorflow'],37.0,36.0,https://pypi.org/project/niftynet,2019-10-10 10:59:33.000000,1.0,160.0,160.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n515,MLBox,AxeldeRomblay/MLBox,,hyperopt,https://github.com/AxeldeRomblay/MLBox,https://github.com/AxeldeRomblay/MLBox,BSD-1-Clause,2017-06-01 16:59:24.000000,2021-08-25 15:38:03.000000,2020-08-25 09:26:27.000000,253,15.0,74.0,1242.0,1121.0,MLBox is a powerful Automated Machine Learning python library.,9.0,22,False,2020-08-25 09:32:37.000000,0.8.5,21.0,mlbox,,,,,26.0,26.0,https://pypi.org/project/mlbox,2020-08-25 09:32:37.000000,,2218.0,2218.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n516,Higher,facebookresearch/higher,,pytorch-utils,https://github.com/facebookresearch/higher,https://github.com/facebookresearch/higher,Apache-2.0,2019-09-06 18:58:36.000000,2021-08-03 01:26:54.000000,2021-06-21 15:17:40.000000,84,36.0,49.0,1216.0,30.0,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,9.0,22,True,2020-07-14 12:20:32.000000,0.2.1,2.0,higher,,,,['pytorch'],72.0,72.0,https://pypi.org/project/higher,2020-07-14 12:20:32.000000,0.0,40292.0,40292.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n517,RecBole,RUCAIBox/RecBole,,recommender-systems,https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000000,2021-08-26 04:10:49.000000,2021-07-11 02:23:22.000000,192,38.0,134.0,1194.0,3028.0,\"A unified, comprehensive and efficient recommendation library.\",40.0,22,True,2021-04-06 09:53:37.000000,0.2.1,5.0,recbole,aibox/recbole,,,['pytorch'],,,https://pypi.org/project/recbole,2021-03-22 14:22:38.000000,,440.0,508.0,https://anaconda.org/aibox/recbole,2021-03-22 14:53:52.593000,617.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n518,lightly,lightly-ai/lightly,,image,https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000000,2021-08-26 14:24:35.000000,2021-08-25 08:08:25.000000,68,56.0,162.0,1150.0,493.0,A python library for self-supervised learning on images.,11.0,22,True,2021-08-25 08:23:41.000000,1.1.18,30.0,lightly,,,,['pytorch'],18.0,18.0,https://pypi.org/project/lightly,2021-08-25 08:28:28.000000,0.0,1584.0,1584.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n519,gplearn,trevorstephens/gplearn,,others,https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14.000000,2021-07-01 00:24:09.000000,2021-07-01 00:24:09.000000,170,40.0,124.0,994.0,147.0,\"Genetic Programming in Python, with a scikit-learn inspired API.\",10.0,22,True,2019-06-01 02:04:52.000000,0.4.1,5.0,gplearn,,,,['sklearn'],197.0,183.0,https://pypi.org/project/gplearn,2019-06-01 02:04:52.000000,14.0,2516.0,2516.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n520,SciSpacy,allenai/scispacy,,nlp,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52.000000,2021-07-15 18:43:58.000000,2021-07-15 18:43:58.000000,136,29.0,187.0,988.0,,A full spaCy pipeline and models for scientific/biomedical documents.,21.0,22,True,2021-02-12 22:56:06.000000,0.4.0,10.0,scispacy,,,,,328.0,316.0,https://pypi.org/project/scispacy,2021-02-12 22:56:06.000000,12.0,25463.0,25463.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n521,lightning-flash,PyTorchLightning/lightning-flash,,pytorch-utils,https://github.com/PyTorchLightning/lightning-flash,https://github.com/PyTorchLightning/lightning-flash,Apache-2.0,2021-01-28 18:47:16.000000,2021-08-26 15:26:29.000000,2021-08-26 15:26:28.000000,87,83.0,164.0,893.0,555.0,\"Collection of tasks for fast prototyping, baselining, finetuning and solving problems with deep learning.\",40.0,22,True,2021-06-22 11:20:42.000000,0.4.0,22.0,lightning-flash,,,,['pytorch'],19.0,19.0,https://pypi.org/project/lightning-flash,2021-06-22 11:20:42.000000,0.0,1157.0,1157.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n522,alibi-detect,SeldonIO/alibi-detect,,others,https://github.com/SeldonIO/alibi-detect,https://github.com/SeldonIO/alibi-detect,Apache-2.0,2019-10-07 13:29:13.000000,2021-08-24 16:43:45.000000,2021-08-24 16:43:01.000000,90,73.0,85.0,816.0,382.0,\"Algorithms for outlier, adversarial and drift detection.\",9.0,22,True,2021-08-17 09:43:00.000000,0.7.2,17.0,alibi-detect,,,,,35.0,33.0,https://pypi.org/project/alibi-detect,2021-08-17 09:41:07.000000,2.0,10138.0,10138.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n523,Madmom,CPJKU/madmom,,audio,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06.000000,2021-08-23 20:11:23.000000,2021-08-23 17:19:35.000000,132,54.0,182.0,790.0,1728.0,Python audio and music signal processing library.,20.0,22,True,2018-11-14 14:57:41.000000,0.16.1,11.0,madmom,,,,,171.0,137.0,https://pypi.org/project/madmom,2018-11-14 14:56:22.000000,34.0,5319.0,5319.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n524,torch-scatter,rusty1s/pytorch_scatter,,pytorch-utils,https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23.000000,2021-08-24 06:44:56.000000,2021-08-24 06:44:55.000000,83,73.0,135.0,742.0,931.0,PyTorch Extension Library of Optimized Scatter Operations.,17.0,22,True,2021-07-29 04:05:23.000000,2.0.8,28.0,torch-scatter,,,,['pytorch'],32.0,,https://pypi.org/project/torch-scatter,2021-07-29 04:05:23.000000,32.0,24286.0,24286.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n525,gmaps,pbugnion/gmaps,,geospatial-data,https://github.com/pbugnion/gmaps,https://github.com/pbugnion/gmaps,BSD-3-Clause,2014-12-01 09:12:06.000000,2020-10-13 07:09:18.000000,2019-07-22 06:22:45.000000,143,66.0,136.0,717.0,1380.0,Google maps for Jupyter notebooks.,16.0,22,False,2019-07-21 08:49:48.715000,0.9.0,94.0,gmaps,conda-forge/gmaps,,,['jupyter'],75.0,1.0,https://pypi.org/project/gmaps,2019-07-21 08:49:39.000000,74.0,16738.0,23406.0,https://anaconda.org/conda-forge/gmaps,2019-08-02 11:56:50.940000,240453.0,,,,,3.0,,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715000,,1954.0,,,,,,,,,,,,,,\n526,Prince,MaxHalford/prince,,others,https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000000,2021-08-20 19:11:31.000000,2021-01-11 21:14:58.000000,123,33.0,66.0,687.0,179.0,\"Python factor analysis library (PCA, CA, MCA, MFA, FAMD).\",9.0,22,True,2020-10-06 11:26:47.000000,0.7.1,41.0,prince,,,,['sklearn'],148.0,142.0,https://pypi.org/project/prince,2020-10-06 11:26:47.000000,6.0,16935.0,16935.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n527,audiomentations,iver56/audiomentations,,audio,https://github.com/iver56/audiomentations,https://github.com/iver56/audiomentations,MIT,2019-02-12 16:36:24.000000,2021-08-05 07:52:09.000000,2021-08-05 07:52:06.000000,87,20.0,64.0,675.0,476.0,A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.,17.0,22,True,2021-08-05 07:43:16.000000,0.18.0,20.0,audiomentations,,,,,66.0,66.0,https://pypi.org/project/audiomentations,2021-08-05 07:43:16.000000,,3345.0,3345.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n528,lets-plot,JetBrains/lets-plot,,data-viz,https://github.com/JetBrains/lets-plot,https://github.com/JetBrains/lets-plot,MIT,2019-03-20 16:13:03.000000,2021-08-25 22:31:09.000000,2021-08-25 22:31:07.000000,26,67.0,127.0,665.0,2092.0,An open-source plotting library for statistical data.,15.0,22,True,2021-08-16 15:13:33.000000,2.1.0,39.0,lets-plot,,,,,11.0,11.0,https://pypi.org/project/lets-plot,2021-08-16 14:42:27.000000,0.0,3854.0,3858.0,,,,,,,,3.0,104.0,,,,,,,,,,,,,,,,,,,,\n529,Objax,google/objax,,ml-frameworks,https://github.com/google/objax,https://github.com/google/objax,Apache-2.0,2020-08-20 06:20:40.000000,2021-07-27 16:24:03.000000,2021-07-27 16:24:03.000000,51,40.0,56.0,643.0,413.0,Objax is a machine learning framework that provides an Object Oriented layer for JAX.,21.0,22,True,2021-04-01 00:14:18.000000,1.4.0,7.0,objax,,,,['jax'],15.0,15.0,https://pypi.org/project/objax,2021-04-01 00:02:37.000000,0.0,3217.0,3217.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n530,Guild AI,guildai/guildai,,ml-experiments,https://github.com/guildai/guildai,https://github.com/guildai/guildai,Apache-2.0,2017-09-27 18:57:50.000000,2021-08-18 19:32:56.000000,2021-08-18 19:32:43.000000,44,109.0,172.0,621.0,4548.0,\"Experiment tracking, ML developer tools.\",18.0,22,True,2021-03-25 22:43:31.000000,0.7.3,171.0,guildai,,,,,37.0,37.0,https://pypi.org/project/guildai,2021-07-27 18:30:46.000000,,5929.0,5929.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n531,TensorBoard Logger,TeamHG-Memex/tensorboard_logger,,ml-experiments,https://github.com/TeamHG-Memex/tensorboard_logger,https://github.com/TeamHG-Memex/tensorboard_logger,MIT,2016-10-27 14:02:25.000000,2021-06-09 17:35:49.000000,2019-10-21 07:52:07.000000,50,9.0,15.0,615.0,46.0,Log TensorBoard events without touching TensorFlow.,5.0,22,False,2018-02-08 07:28:51.000000,0.1.0,5.0,tensorboard_logger,,,,,96.0,,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51.000000,96.0,101001.0,101001.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n532,Mapbox GL,mapbox/mapboxgl-jupyter,,geospatial-data,https://github.com/mapbox/mapboxgl-jupyter,https://github.com/mapbox/mapboxgl-jupyter,MIT,2017-08-08 15:10:51.000000,2021-05-31 23:04:25.000000,2021-04-19 05:00:36.000000,121,35.0,67.0,576.0,221.0,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,21.0,22,True,2019-06-03 21:24:10.000000,0.10.2,20.0,mapboxgl,,,,['jupyter'],133.0,115.0,https://pypi.org/project/mapboxgl,2019-06-02 15:18:57.000000,18.0,16794.0,16794.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n533,FiftyOne,voxel51/fiftyone,,data-viz,https://github.com/voxel51/fiftyone,https://github.com/voxel51/fiftyone,Apache-2.0,2020-04-22 13:43:28.000000,2021-08-26 14:17:53.000000,2021-08-25 17:16:28.000000,64,147.0,354.0,564.0,5467.0,\"Visualize, create, and debug image and video datasets and model predictions.\",17.0,22,True,2021-08-25 17:13:14.000000,0.13.1,60.0,fiftyone,,,,\"['tensorflow', 'pytorch', 'jupyter']\",13.0,13.0,https://pypi.org/project/fiftyone,2021-08-25 17:13:14.000000,0.0,7414.0,7414.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n534,nnAudio,KinWaiCheuk/nnAudio,,audio,https://github.com/KinWaiCheuk/nnAudio,https://github.com/KinWaiCheuk/nnAudio,MIT,2019-09-02 04:31:14.000000,2021-08-06 14:28:16.000000,2021-08-06 14:22:35.000000,55,8.0,33.0,532.0,262.0,Audio processing by using pytorch 1D convolution network.,12.0,22,True,2021-08-06 14:28:16.000000,0.2.5,35.0,nnAudio,,,,,19.0,19.0,https://pypi.org/project/nnAudio,2021-08-06 14:28:16.000000,,12000.0,12000.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n535,tinytag,devsnd/tinytag,,audio,https://github.com/devsnd/tinytag,https://github.com/devsnd/tinytag,MIT,2014-01-27 15:27:01.000000,2021-08-08 20:52:58.000000,2021-06-13 14:20:35.000000,82,16.0,67.0,478.0,322.0,\"Read music meta data and length of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA and Wave files with python 2 or 3.\",20.0,22,True,2020-11-05 12:44:52.000000,1.5.0,33.0,tinytag,,,,,491.0,395.0,https://pypi.org/project/tinytag,2020-11-05 12:44:52.000000,96.0,6172.0,6172.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n536,PyTorch Sparse,rusty1s/pytorch_sparse,,pytorch-utils,https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53.000000,2021-08-26 09:31:05.000000,2021-08-26 09:31:03.000000,58,59.0,76.0,463.0,626.0,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,17.0,22,True,2021-07-29 17:31:50.000000,0.6.11,23.0,torch-sparse,,,,['pytorch'],34.0,,https://pypi.org/project/torch-sparse,2021-07-29 17:33:17.000000,34.0,16800.0,16800.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n537,PyWaffle,gyli/PyWaffle,,data-viz,https://github.com/gyli/PyWaffle,https://github.com/gyli/PyWaffle,MIT,2017-11-14 20:03:47.000000,2021-07-28 14:49:22.000000,2021-07-28 14:49:15.000000,74,2.0,11.0,442.0,254.0,Make Waffle Charts in Python.,6.0,22,True,2021-07-28 01:11:09.000000,0.6.3,24.0,pywaffle,,,,,81.0,81.0,https://pypi.org/project/pywaffle,2021-07-28 01:11:09.000000,0.0,2003.0,2003.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n538,Submit it,facebookincubator/submitit,,distributed-ml,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09.000000,2021-08-20 13:41:57.000000,2021-08-20 13:41:42.000000,34,22.0,28.0,439.0,73.0,Python 3.6+ toolbox for submitting jobs to Slurm.,14.0,22,True,2021-04-08 08:01:58.000000,1.3.2,13.0,submitit,conda-forge/submitit,,,,205.0,205.0,https://pypi.org/project/submitit,2021-04-08 08:01:58.000000,0.0,6582.0,6915.0,https://anaconda.org/conda-forge/submitit,2021-02-10 12:48:57.745000,3997.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n539,torch-cluster,rusty1s/pytorch_cluster,,graph,https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06.000000,2021-08-18 08:06:41.000000,2021-08-18 08:06:40.000000,77,40.0,46.0,402.0,546.0,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,18.0,22,True,2021-03-01 13:58:47.000000,1.5.9,39.0,torch-cluster,,,,['pytorch'],32.0,,https://pypi.org/project/torch-cluster,2021-03-01 12:28:43.000000,32.0,8402.0,8402.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n540,GeoViews,holoviz/geoviews,,geospatial-data,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000000,2021-08-03 04:04:01.000000,2021-04-13 11:40:25.000000,65,91.0,181.0,361.0,656.0,\"Simple, concise geographical visualization in Python.\",23.0,22,True,2021-03-13 16:29:11.000000,1.9.1,26.0,geoviews,conda-forge/geoviews,,,,20.0,,https://pypi.org/project/geoviews,2021-03-13 16:29:11.000000,20.0,5300.0,7179.0,https://anaconda.org/conda-forge/geoviews,2021-03-14 15:19:05.550000,77052.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n541,pySBD,nipunsadvilkar/pySBD,,nlp,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20.000000,2021-04-25 08:42:15.000000,2021-02-11 16:40:18.000000,35,9.0,48.0,355.0,279.0,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,6.0,22,True,2021-02-11 16:42:37.000000,0.3.4,15.0,pysbd,,,,,204.0,200.0,https://pypi.org/project/pysbd,2021-02-11 16:36:33.000000,4.0,33889.0,33889.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n542,pysparkling,svenkreiss/pysparkling,,data-pipelines,https://github.com/svenkreiss/pysparkling,https://github.com/svenkreiss/pysparkling,MIT,2015-05-09 19:23:20.000000,2021-03-05 14:35:43.000000,2021-02-22 17:29:11.000000,45,7.0,21.0,237.0,1527.0,A pure Python implementation of Apache Spark's RDD and DStream interfaces.,10.0,22,False,2021-01-10 21:15:26.000000,0.6.1,68.0,pysparkling,,,,,84.0,70.0,https://pypi.org/project/pysparkling,2021-01-10 21:15:26.000000,14.0,23978.0,23978.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n543,stop-words,Alir3z4/python-stop-words,,nlp,https://github.com/Alir3z4/python-stop-words,https://github.com/Alir3z4/python-stop-words,BSD-3-Clause,2014-05-26 06:44:03.000000,2019-10-16 15:01:43.000000,2018-07-23 21:04:09.000000,23,3.0,9.0,129.0,90.0,Get list of common stop words in various languages in Python.,8.0,22,False,2018-07-23 20:58:34.000000,2018.7.23,8.0,stop-words,,,,,1544.0,1286.0,https://pypi.org/project/stop-words,2018-07-23 20:55:55.000000,258.0,81820.0,81820.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n544,Qlib,microsoft/qlib,,financial-data,https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000000,2021-08-26 12:59:26.000000,2021-08-26 12:59:26.000000,933,87.0,205.0,5512.0,,\"Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research,..\",59.0,21,True,2021-07-11 14:44:17.000000,0.7.0,17.0,pyqlib,,,,['pytorch'],5.0,5.0,https://pypi.org/project/pyqlib,2021-07-11 14:44:17.000000,,4900.0,4924.0,,,,,,,,3.0,267.0,,,,,,,,,,,,,,,,,,,,\n545,vit-pytorch,lucidrains/vit-pytorch,,image,https://github.com/lucidrains/vit-pytorch,https://github.com/lucidrains/vit-pytorch,MIT,2020-10-03 22:47:24.000000,2021-08-21 16:04:25.000000,2021-08-21 16:03:54.000000,727,58.0,71.0,5466.0,,\"Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single..\",11.0,21,True,2021-08-21 16:04:25.000000,0.20.6,90.0,vit-pytorch,,,,['pytorch'],31.0,31.0,https://pypi.org/project/vit-pytorch,2021-08-21 16:04:25.000000,0.0,3410.0,3410.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n546,MMF,facebookresearch/mmf,,image,https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40.000000,2021-08-26 08:04:23.000000,2021-08-20 23:59:48.000000,724,159.0,403.0,4551.0,928.0,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,70.0,21,True,2019-08-26 19:04:21.000000,0.3.1,12.0,mmf,,,,['pytorch'],8.0,8.0,https://pypi.org/project/mmf,2020-06-12 22:15:02.000000,0.0,384.0,384.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n547,mace,XiaoMi/mace,,ml-frameworks,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12.000000,2021-08-11 09:00:41.000000,2021-08-09 07:12:54.000000,770,41.0,611.0,4459.0,3241.0,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,64.0,21,True,2021-03-18 10:07:32.000000,1.0.4,11.0,,,,,,,,,,,,38.0,,,,,,,,3.0,1368.0,,,,,,,,,,,,,,,,,,,,\n548,Image Deduplicator,idealo/imagededup,,image,https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54.000000,2021-03-16 10:25:33.000000,2020-11-23 17:40:40.000000,315,21.0,57.0,3765.0,460.0,Finding duplicate images made easy!.,9.0,21,True,2020-11-23 17:55:24.000000,0.2.4,9.0,imagededup,,,,['tensorflow'],20.0,18.0,https://pypi.org/project/imagededup,2020-11-22 21:09:36.000000,2.0,2858.0,2858.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n549,NeMo,NVIDIA/NeMo,,nlp,https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000000,2021-08-26 12:17:46.000000,2021-08-25 03:11:50.000000,597,80.0,648.0,3100.0,,NeMo: a toolkit for conversational AI.,107.0,21,True,2021-07-30 20:05:41.000000,1.2.0,41.0,nemo-toolkit,,,,['pytorch'],4.0,,https://pypi.org/project/nemo-toolkit,2021-07-30 19:38:45.000000,4.0,4027.0,4366.0,,,,,,,,3.0,7799.0,,,,,,,,,,,,,,,,,,,,\n550,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,,graph,https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16.000000,2021-08-19 21:15:44.000000,2021-08-19 18:13:37.000000,384,48.0,115.0,2872.0,156.0,Generate embeddings from large-scale graph-structured data.,24.0,21,True,2019-10-14 16:45:11.000000,1.0.0,3.0,torchbiggraph,,,,['pytorch'],4.0,,https://pypi.org/project/torchbiggraph,2019-05-01 21:31:13.000000,4.0,600.0,604.0,,,,,,,,3.0,118.0,,,,,,,,,,,,,,,,,,,,\n551,gpt-2-simple,minimaxir/gpt-2-simple,,nlp,https://github.com/minimaxir/gpt-2-simple,https://github.com/minimaxir/gpt-2-simple,MIT,2019-04-13 20:00:52.000000,2021-07-29 00:11:59.000000,2021-02-14 19:39:38.000000,558,144.0,93.0,2758.0,133.0,Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts.,17.0,21,True,2021-02-14 21:13:20.000000,0.7.2,16.0,gpt-2-simple,,,,['tensorflow'],6.0,,https://pypi.org/project/gpt-2-simple,2021-02-14 20:20:24.000000,6.0,8664.0,8673.0,,,,,,,,3.0,260.0,,,,,,,,,,,,,,,,,,,,\n552,FinRL,AI4Finance-LLC/FinRL,,reinforcement-learning,https://github.com/AI4Finance-LLC/FinRL,https://github.com/AI4Finance-LLC/FinRL,MIT,2020-07-26 13:18:16.000000,2021-08-24 17:37:59.000000,2021-08-24 17:37:59.000000,644,64.0,110.0,2465.0,809.0,A Deep Reinforcement Learning Framework for Automated Trading in Quantitative Finance. NeurIPS 2020.,30.0,21,True,2021-02-28 17:05:19.000000,0.3.0,4.0,finrl,,,,,7.0,7.0,https://pypi.org/project/finrl,2021-02-28 17:05:19.000000,,270.0,270.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n553,DeepVariant,google/deepvariant,,medical-data,https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000000,2021-08-09 14:44:52.000000,2021-08-09 14:43:13.000000,565,3.0,428.0,2326.0,1746.0,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,20.0,21,True,2021-07-29 16:59:05.000000,1.2.0,16.0,,bioconda/deepvariant,,,['tensorflow'],,,,,,,838.0,https://anaconda.org/bioconda/deepvariant,2021-07-30 23:35:30.579000,32683.0,,,,,3.0,3458.0,,,,,,,,,,,,,,,,,,,,\n554,DeepWalk,phanein/deepwalk,,graph,https://github.com/phanein/deepwalk,https://github.com/phanein/deepwalk,GPL-3.0,2014-08-23 03:38:20.000000,2021-07-13 03:49:24.000000,2020-04-02 01:05:35.000000,764,29.0,80.0,2291.0,46.0,DeepWalk - Deep Learning for Graphs.,10.0,21,False,2018-04-29 21:05:18.000000,1.0.3,4.0,deepwalk,,,,,50.0,43.0,https://pypi.org/project/deepwalk,2018-04-29 21:05:18.000000,7.0,3292.0,3292.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n555,PARL,PaddlePaddle/PARL,,reinforcement-learning,https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22.000000,2021-08-26 03:12:53.000000,2021-08-24 04:40:44.000000,525,52.0,195.0,2168.0,1.0,A high-performance distributed training framework for Reinforcement Learning.,27.0,21,True,2021-07-08 13:09:56.000000,2.0.2,22.0,parl,,,,['paddle'],78.0,78.0,https://pypi.org/project/parl,2021-07-08 13:09:56.000000,,839.0,839.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n556,cleanlab,cgnorthcutt/cleanlab,,others,https://github.com/cgnorthcutt/cleanlab,https://github.com/cgnorthcutt/cleanlab,AGPL-3.0,2018-05-11 01:55:21.000000,2021-06-06 01:28:39.000000,2021-06-06 01:28:39.000000,205,24.0,45.0,2141.0,808.0,The standard package for machine learning with noisy labels and finding mislabeled data. Works with most datasets and..,6.0,21,False,2021-04-18 19:52:49.000000,1.0,15.0,cleanlab,,,,,18.0,18.0,https://pypi.org/project/cleanlab,2020-02-17 07:33:06.000000,,5345.0,5345.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n557,vissl,facebookresearch/vissl,,image,https://github.com/facebookresearch/vissl,https://github.com/facebookresearch/vissl,MIT,2020-04-09 19:40:33.000000,2021-08-26 14:07:33.000000,2021-08-24 16:32:39.000000,176,37.0,52.0,1902.0,246.0,\"VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.\",25.0,21,True,2021-03-02 18:51:51.000000,0.1.5,5.0,vissl,,,,['pytorch'],,,https://pypi.org/project/vissl,2021-01-25 17:22:19.000000,,390.0,390.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n558,Sweetviz,fbdesignpro/sweetviz,,data-viz,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47.000000,2021-08-23 03:30:32.000000,2021-07-08 14:31:20.000000,172,23.0,62.0,1716.0,102.0,\"Visualize and compare datasets, target values and associations, with one line of code.\",6.0,21,True,2021-07-08 14:32:09.000000,2.1.3,31.0,sweetviz,,,,,0.0,,https://pypi.org/project/sweetviz,2021-07-08 14:32:09.000000,0.0,23859.0,23859.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n559,lore,instacart/lore,,ml-experiments,https://github.com/instacart/lore,https://github.com/instacart/lore,MIT,2017-10-19 21:51:45.000000,2021-05-26 18:44:09.000000,2020-05-11 22:26:45.000000,121,16.0,18.0,1522.0,270.0,Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers.,22.0,21,False,2020-05-11 22:28:23.000000,0.8.4,231.0,lore,,,,,17.0,16.0,https://pypi.org/project/lore,2020-05-11 22:28:23.000000,1.0,1372.0,1372.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n560,hiddenlayer,waleedka/hiddenlayer,,ml-experiments,https://github.com/waleedka/hiddenlayer,https://github.com/waleedka/hiddenlayer,MIT,2018-05-18 22:34:51.000000,2021-06-12 16:54:12.000000,2020-04-24 06:58:09.000000,214,45.0,34.0,1491.0,58.0,\"Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.\",6.0,21,False,2018-12-03 04:33:29.000000,0.2,3.0,hiddenlayer,,,,\"['pytorch', 'tensorflow', 'jupyter']\",86.0,78.0,https://pypi.org/project/hiddenlayer,2020-04-24 07:32:11.000000,8.0,2540.0,2540.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n561,Talos,autonomio/talos,,hyperopt,https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41.000000,2021-05-27 09:49:51.000000,2021-05-27 09:49:50.000000,242,35.0,352.0,1429.0,559.0,\"Hyperparameter Optimization for TensorFlow, Keras and PyTorch.\",19.0,21,True,2020-11-09 16:48:30.000000,1.0,14.0,talos,,,,['tensorflow'],132.0,126.0,https://pypi.org/project/talos,2020-11-09 16:49:08.000000,6.0,1616.0,1616.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n562,anaGo,Hironsan/anago,,nlp,https://github.com/Hironsan/anago,https://github.com/Hironsan/anago,MIT,2017-06-26 21:28:36.000000,2021-08-25 14:45:13.000000,2021-04-01 12:34:50.000000,362,37.0,72.0,1420.0,298.0,\"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.\",11.0,21,True,2018-07-17 01:59:21.000000,1.0.8,14.0,anago,,,,['tensorflow'],32.0,27.0,https://pypi.org/project/anago,2018-07-17 01:59:21.000000,5.0,623.0,623.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n563,fklearn,nubank/fklearn,,ml-frameworks,https://github.com/nubank/fklearn,https://github.com/nubank/fklearn,Apache-2.0,2019-02-27 14:32:57.000000,2021-04-28 13:19:12.000000,2021-04-28 13:19:08.000000,149,19.0,20.0,1332.0,118.0,fklearn: Functional Machine Learning.,37.0,21,True,2021-02-09 17:12:04.000000,1.22.0,20.0,fklearn,,,,,10.0,10.0,https://pypi.org/project/fklearn,2021-02-09 17:12:04.000000,,3391.0,3391.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n564,DLTK,DLTK/DLTK,,medical-data,https://github.com/DLTK/DLTK,https://github.com/DLTK/DLTK,Apache-2.0,2017-05-02 15:40:36.000000,2021-08-25 14:40:15.000000,2019-01-21 14:01:28.000000,385,11.0,24.0,1263.0,379.0,Deep Learning Toolkit for Medical Image Analysis.,9.0,21,False,2018-02-26 17:43:57.000000,0.2.1,5.0,dltk,,,,['tensorflow'],20.0,20.0,https://pypi.org/project/dltk,2018-02-26 17:43:57.000000,,209.0,209.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n565,CausalNex,quantumblacklabs/causalnex,,interpretability,https://github.com/quantumblacklabs/causalnex,https://github.com/quantumblacklabs/causalnex,Apache-2.0,2019-12-12 15:26:09.000000,2021-08-21 14:03:14.000000,2021-08-21 13:35:54.000000,135,33.0,73.0,1240.0,117.0,A Python library that helps data scientists to infer causation rather than observing correlation.,20.0,21,True,2021-05-11 18:35:56.000000,0.10.0,15.0,causalnex,,,,\"['pytorch', 'sklearn']\",14.0,14.0,https://pypi.org/project/causalnex,2021-05-11 18:35:56.000000,,3162.0,3162.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n566,Pypeline,cgarciae/pypeln,,data-pipelines,https://github.com/cgarciae/pypeln,https://github.com/cgarciae/pypeln,MIT,2018-09-01 13:43:31.000000,2021-05-01 11:58:40.000000,2021-04-13 00:55:39.000000,73,14.0,38.0,1232.0,235.0,Concurrent data pipelines in Python .,10.0,21,True,2021-01-05 18:00:06.000000,0.4.7,34.0,pypeln,,,,,10.0,,https://pypi.org/project/pypeln,2021-01-05 18:00:06.000000,10.0,14280.0,14280.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n567,TabNet,dreamquark-ai/tabnet,,pytorch-utils,https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000000,2021-06-24 08:47:54.000000,2021-05-27 09:32:27.000000,242,37.0,135.0,1230.0,168.0,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,18.0,21,True,2021-02-02 08:05:11.000000,3.1.1,17.0,pytorch-tabnet,,,,['pytorch'],0.0,,https://pypi.org/project/pytorch-tabnet,2021-02-02 08:05:11.000000,0.0,19400.0,19400.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n568,tensorrec,jfkirk/tensorrec,,recommender-systems,https://github.com/jfkirk/tensorrec,https://github.com/jfkirk/tensorrec,Apache-2.0,2017-02-28 18:51:11.000000,2021-08-26 09:42:05.000000,2020-02-04 21:10:25.000000,219,35.0,90.0,1161.0,334.0,A TensorFlow recommendation algorithm and framework in Python.,9.0,21,False,2019-04-02 00:53:47.000000,0.26.2,30.0,tensorrec,,,,['tensorflow'],29.0,26.0,https://pypi.org/project/tensorrec,2019-04-02 00:53:47.000000,3.0,1071.0,1071.0,,,,,,,,3.0,,,,,,,,-1.0,,,,,,,,,,,,,\n569,TaskTiger,closeio/tasktiger,,data-pipelines,https://github.com/closeio/tasktiger,https://github.com/closeio/tasktiger,MIT,2015-05-14 00:26:32.000000,2021-08-16 12:17:52.000000,2021-08-16 12:17:52.000000,59,36.0,35.0,1086.0,270.0,Python task queue using Redis.,23.0,21,True,2021-04-21 06:15:46.000000,0.15,25.0,tasktiger,,,,,38.0,20.0,https://pypi.org/project/tasktiger,2021-04-16 07:36:13.000000,18.0,2159.0,2159.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n570,TF Recommenders,tensorflow/recommenders,,recommender-systems,https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01.000000,2021-08-25 00:08:07.000000,2021-08-25 00:05:46.000000,133,94.0,83.0,969.0,,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,27.0,21,True,2021-08-23 23:29:59.000000,0.6.0,12.0,tensorflow-recommenders,,,,['tensorflow'],37.0,37.0,https://pypi.org/project/tensorflow-recommenders,2021-08-23 23:29:59.000000,0.0,48430.0,48430.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n571,luminol,linkedin/luminol,,time-series-data,https://github.com/linkedin/luminol,https://github.com/linkedin/luminol,Apache-2.0,2015-11-18 23:16:33.000000,2020-12-27 09:54:35.000000,2018-01-09 07:46:55.000000,193,31.0,12.0,959.0,69.0,Anomaly Detection and Correlation library.,8.0,21,False,2016-01-20 01:01:44.000000,0.3.1,5.0,luminol,,,,,70.0,42.0,https://pypi.org/project/luminol,2017-12-11 06:04:15.000000,28.0,44596.0,44596.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n572,TFEncrypted,tf-encrypted/tf-encrypted,,privacy-ml,https://github.com/tf-encrypted/tf-encrypted,https://github.com/tf-encrypted/tf-encrypted,Apache-2.0,2018-03-21 18:22:13.000000,2021-04-21 08:39:31.000000,2020-08-19 16:56:56.000000,163,173.0,232.0,924.0,595.0,A Framework for Encrypted Machine Learning in TensorFlow.,28.0,21,True,2019-09-27 20:00:01.000000,0.5.9,35.0,tf-encrypted,,,,['tensorflow'],70.0,54.0,https://pypi.org/project/tf-encrypted,2019-10-21 18:05:53.000000,16.0,893.0,893.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n573,Explainability 360,Trusted-AI/AIX360,,interpretability,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48.000000,2021-08-23 19:07:00.000000,2021-05-02 10:43:29.000000,184,30.0,23.0,918.0,307.0,Interpretability and explainability of data and machine learning models.,27.0,21,True,2020-10-28 09:32:21.000000,0.2.1,4.0,aix360,,,,,29.0,28.0,https://pypi.org/project/aix360,2020-10-28 09:18:17.000000,1.0,818.0,818.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n574,keras-ocr,faustomorales/keras-ocr,,ocr,https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50.000000,2021-06-30 10:06:10.000000,2021-06-18 05:03:36.000000,215,42.0,101.0,898.0,180.0,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,10.0,21,True,2021-06-14 13:06:32.000000,0.8.7,27.0,keras-ocr,,,,['tensorflow'],2.0,,https://pypi.org/project/keras-ocr,2021-06-14 13:06:32.000000,2.0,15209.0,24275.0,,,,,,,,3.0,99730.0,,,,,,,,,,,,,,,,,,,,\n575,tf-explain,sicara/tf-explain,,interpretability,https://github.com/sicara/tf-explain,https://github.com/sicara/tf-explain,MIT,2019-07-15 08:26:24.000000,2021-06-22 10:19:30.000000,2021-06-22 10:19:30.000000,81,34.0,48.0,851.0,199.0,Interpretability Methods for tf.keras models with Tensorflow 2.x.,15.0,21,True,2021-02-16 18:59:38.000000,0.3.0,7.0,tf-explain,,,,['tensorflow'],87.0,85.0,https://pypi.org/project/tf-explain,2021-02-16 18:59:38.000000,2.0,1506.0,1506.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n576,Satpy,pytroll/satpy,,geospatial-data,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000000,2021-08-26 14:27:57.000000,2021-08-26 14:14:47.000000,202,307.0,380.0,737.0,,Python package for earth-observing satellite data processing.,114.0,21,False,2021-08-13 07:16:18.000000,0.24.0,68.0,satpy,conda-forge/satpy,,,,52.0,46.0,https://pypi.org/project/satpy,2021-06-06 14:38:31.000000,6.0,1206.0,3143.0,https://anaconda.org/conda-forge/satpy,2021-06-06 21:57:26.187000,71702.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n577,Labml,labmlai/labml,,ml-experiments,https://github.com/labmlai/labml,https://github.com/labmlai/labml,MIT,2018-11-16 09:34:48.000000,2021-08-25 09:30:34.000000,2021-08-25 09:30:30.000000,56,14.0,9.0,699.0,1127.0,Monitor deep learning model training and hardware usage from your mobile phone.,6.0,21,True,2021-08-20 07:46:01.000000,0.4.132,109.0,labml,,,,,32.0,32.0,https://pypi.org/project/labml,2021-08-20 07:46:01.000000,0.0,1076.0,1076.0,,,,,,,,3.0,,,,,,,,-1.0,,,,,,,,,,,,,\n578,TreeInterpreter,andosa/treeinterpreter,,interpretability,https://github.com/andosa/treeinterpreter,https://github.com/andosa/treeinterpreter,BSD-3-Clause,2015-08-02 20:26:21.000000,2021-02-28 18:33:06.000000,2021-02-28 18:33:06.000000,132,24.0,4.0,678.0,37.0,Package for interpreting scikit-learn's decision tree and random forest predictions.,11.0,21,True,2021-01-10 20:12:39.000000,0.2.3,5.0,treeinterpreter,,,,['sklearn'],175.0,157.0,https://pypi.org/project/treeinterpreter,2021-01-10 20:12:39.000000,18.0,240086.0,240086.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n579,sklearn-deap,rsteca/sklearn-deap,,hyperopt,https://github.com/rsteca/sklearn-deap,https://github.com/rsteca/sklearn-deap,MIT,2015-10-28 22:52:34.000000,2021-07-30 15:13:54.000000,2021-07-30 15:06:27.000000,114,21.0,33.0,650.0,104.0,Use evolutionary algorithms instead of gridsearch in scikit-learn.,22.0,21,True,2021-07-30 15:13:54.000000,0.3.0,14.0,sklearn-deap,,,,['sklearn'],27.0,25.0,https://pypi.org/project/sklearn-deap,2021-07-30 15:13:54.000000,2.0,1400.0,1400.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n580,explainerdashboard,oegedijk/explainerdashboard,,interpretability,https://github.com/oegedijk/explainerdashboard,https://github.com/oegedijk/explainerdashboard,MIT,2019-10-30 08:26:16.000000,2021-07-08 17:17:35.000000,2021-07-08 17:17:31.000000,80,10.0,105.0,625.0,1213.0,Quickly build Explainable AI dashboards that show the inner workings of so-called blackbox machine learning models.,12.0,21,True,2021-07-08 14:22:49.000000,0.3.6.2,77.0,explainerdashboard,,,,,37.0,37.0,https://pypi.org/project/explainerdashboard,2021-07-08 14:24:19.000000,,7880.0,7880.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n581,pdpipe,pdpipe/pdpipe,,data-pipelines,https://github.com/pdpipe/pdpipe,https://github.com/pdpipe/pdpipe,MIT,2017-01-24 20:37:22.000000,2021-08-25 10:54:44.000000,2021-08-25 10:37:01.000000,28,7.0,15.0,616.0,347.0,Easy pipelines for pandas DataFrames.,8.0,21,True,2021-08-25 10:02:35.000000,0.0.57,53.0,pdpipe,,,,['pandas'],34.0,34.0,https://pypi.org/project/pdpipe,2021-08-25 10:02:35.000000,0.0,2132.0,2132.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n582,pickleDB,patx/pickledb,,data-containers,https://github.com/patx/pickledb,https://github.com/patx/pickledb,BSD-3-Clause,2011-10-28 00:04:40.000000,2021-03-23 21:52:22.000000,2019-11-15 03:38:30.000000,101,22.0,39.0,595.0,105.0,pickleDB is an open source key-value store using Python's json module.,12.0,21,False,2019-01-14 18:48:25.000000,0.9.2,20.0,pickledb,,,,,801.0,689.0,https://pypi.org/project/pickledb,2019-01-14 18:48:25.000000,112.0,11520.0,11520.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n583,scikit-lego,koaning/scikit-lego,,sklearn-utils,https://github.com/koaning/scikit-lego,https://github.com/koaning/scikit-lego,MIT,2019-01-21 15:30:15.000000,2021-07-03 14:39:23.330000,2021-07-03 12:36:19.000000,75,25.0,198.0,572.0,,Extra blocks for scikit-learn pipelines.,47.0,21,True,2021-07-03 12:36:43.000000,0.6.8,34.0,scikit-lego,conda-forge/scikit-lego,,,['sklearn'],29.0,29.0,https://pypi.org/project/scikit-lego,2021-07-03 12:38:43.000000,0.0,17667.0,18295.0,https://anaconda.org/conda-forge/scikit-lego,2021-07-03 14:39:23.330000,13823.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n584,combo,yzhao062/combo,,sklearn-utils,https://github.com/yzhao062/combo,https://github.com/yzhao062/combo,BSD-2-Clause,2019-07-14 01:13:36.000000,2021-03-29 00:05:33.000000,2021-03-15 01:39:54.000000,90,9.0,3.0,539.0,202.0,(AAAI' 20) A Python Toolbox for Machine Learning Model Combination.,1.0,21,True,2020-12-23 02:21:49.000000,0.1.2,12.0,combo,,,,\"['sklearn', 'xgboost']\",385.0,385.0,https://pypi.org/project/combo,2020-12-23 02:21:49.000000,0.0,56019.0,56019.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n585,random-forest-importances,parrt/random-forest-importances,,interpretability,https://github.com/parrt/random-forest-importances,https://github.com/parrt/random-forest-importances,MIT,2018-03-22 19:20:13.000000,2021-01-30 21:50:08.000000,2021-01-30 21:50:02.000000,101,4.0,28.0,470.0,249.0,Code to compute permutation and drop-column importances in Python scikit-learn models.,14.0,21,True,2021-01-28 23:23:17.000000,1.3.7,22.0,rfpimp,,,,['sklearn'],80.0,76.0,https://pypi.org/project/rfpimp,2021-01-28 23:19:33.000000,4.0,20792.0,20792.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n586,AutoViz,AutoViML/AutoViz,,data-viz,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06.000000,2021-07-01 13:34:56.000000,2021-07-01 13:32:23.000000,80,4.0,26.0,455.0,98.0,\"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..\",10.0,21,True,2021-07-01 13:34:56.000000,0.0.83,27.0,autoviz,,,,,82.0,82.0,https://pypi.org/project/autoviz,2021-07-01 13:34:56.000000,0.0,4068.0,4068.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n587,pivottablejs,nicolaskruchten/jupyter_pivottablejs,,data-viz,https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,MIT,2015-09-09 13:39:18.000000,2018-12-04 14:43:26.000000,2018-12-04 14:43:25.000000,59,16.0,37.0,441.0,32.0,\"Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js.\",3.0,21,False,2018-01-15 18:14:37.000000,0.9.0,10.0,pivottablejs,,,,['jupyter'],217.0,183.0,https://pypi.org/project/pivottablejs,2018-01-15 18:14:37.000000,34.0,14369.0,14369.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n588,Neuraxle,Neuraxio/Neuraxle,,hyperopt,https://github.com/Neuraxio/Neuraxle,https://github.com/Neuraxio/Neuraxle,Apache-2.0,2019-03-26 21:01:54.000000,2021-07-27 10:43:40.000000,2021-07-26 20:57:55.000000,50,147.0,162.0,440.0,1558.0,A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right..,7.0,21,True,2021-06-29 01:10:09.000000,0.6.0,21.0,neuraxle,,,,,21.0,21.0,https://pypi.org/project/neuraxle,2021-06-29 00:24:34.000000,0.0,364.0,364.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n589,skope-rules,scikit-learn-contrib/skope-rules,,sklearn-utils,https://github.com/scikit-learn-contrib/skope-rules,https://github.com/scikit-learn-contrib/skope-rules,BSD-1-Clause,2018-02-18 13:42:47.000000,2021-05-12 08:25:18.000000,2020-10-23 14:31:57.000000,67,23.0,5.0,414.0,247.0,machine learning with logical rules in Python.,18.0,21,False,2020-12-11 09:37:02.000000,1.0.1,4.0,skope-rules,,,,['sklearn'],49.0,43.0,https://pypi.org/project/skope-rules,2020-01-25 12:01:37.000000,6.0,74033.0,74033.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n590,ploomber,ploomber/ploomber,,data-pipelines,https://github.com/ploomber/ploomber,https://github.com/ploomber/ploomber,Apache-2.0,2020-01-20 20:13:06.000000,2021-08-23 19:56:02.000000,2021-08-23 19:56:01.000000,13,50.0,265.0,386.0,1966.0,\"Write maintainable, production-ready pipelines using Jupyter or your favorite text editor. Develop locally, deploy to..\",7.0,21,True,2021-08-16 16:25:23.000000,0.12.5,51.0,ploomber,,,,,13.0,13.0,https://pypi.org/project/ploomber,2021-08-16 16:25:23.000000,0.0,3441.0,3441.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n591,optunity,claesenm/optunity,,hyperopt,https://github.com/claesenm/optunity,https://github.com/claesenm/optunity,BSD-3-Clause,2014-05-28 17:29:11.000000,2020-05-11 14:32:39.000000,2020-05-11 14:32:38.000000,72,47.0,48.0,374.0,782.0,optimization routines for hyperparameter tuning.,9.0,21,False,2015-09-30 05:02:00.000000,1.1.1,6.0,optunity,,,,,87.0,63.0,https://pypi.org/project/optunity,2015-09-30 05:02:00.000000,24.0,17100.0,17100.0,,,,,,,,3.0,67.0,,,,,,,,,,,,,,,,,,,,\n592,Studio.ml,studioml/studio,,ml-experiments,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28.000000,2021-08-18 17:20:26.000000,2021-08-18 17:20:21.000000,52,57.0,195.0,372.0,2406.0,Studio: Simplify and expedite model building process.,21.0,21,True,2021-07-30 03:01:06.000000,0.0.48,207.0,studioml,,,,,4.0,4.0,https://pypi.org/project/studioml,2021-08-16 20:53:36.000000,,1013.0,1013.0,,,,,,,,3.0,,,,,,,,-1.0,,,,,,,,,,,,,\n593,Pandas Summary,mouradmourafiq/pandas-summary,,data-containers,https://github.com/mouradmourafiq/pandas-summary,https://github.com/mouradmourafiq/pandas-summary,MIT,2016-03-25 21:59:32.000000,2019-08-24 21:10:25.000000,2019-08-24 21:10:24.000000,34,8.0,5.0,364.0,24.0,An extension to pandas dataframes describe function.,6.0,21,False,2016-08-30 07:54:59.000000,0.0.41,8.0,pandas-summary,,,,['pandas'],743.0,653.0,https://pypi.org/project/pandas-summary,2016-08-30 07:54:59.000000,90.0,31808.0,31808.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n594,MedPy,loli/medpy,,medical-data,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34.000000,2020-05-01 15:25:39.000000,2020-05-01 15:25:38.000000,111,12.0,67.0,359.0,324.0,Medical image processing in Python.,13.0,21,False,2019-02-14 17:12:59.000000,0.4.0,6.0,MedPy,,,,,387.0,357.0,https://pypi.org/project/MedPy,2019-02-14 17:12:59.000000,30.0,9432.0,9432.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n595,joypy,leotac/joypy,,data-viz,https://github.com/leotac/joypy,https://github.com/leotac/joypy,MIT,2017-07-30 17:18:50.000000,2021-07-27 16:03:44.000000,2021-06-13 10:07:43.000000,36,7.0,36.0,343.0,111.0,Joyplots in Python with matplotlib & pandas.,5.0,21,True,2020-12-28 11:54:36.000000,0.2.4,16.0,joypy,conda-forge/joypy,,,,97.0,91.0,https://pypi.org/project/joypy,2020-12-28 11:54:36.000000,6.0,18598.0,18970.0,https://anaconda.org/conda-forge/joypy,2020-12-28 14:07:53.760000,10801.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n596,scikit-rebate,EpistasisLab/scikit-rebate,,others,https://github.com/EpistasisLab/scikit-rebate,https://github.com/EpistasisLab/scikit-rebate,MIT,2016-09-19 13:36:17.000000,2021-05-18 21:20:09.000000,2021-02-15 17:10:59.000000,60,13.0,19.0,328.0,283.0,\"A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for..\",13.0,21,True,2017-04-12 16:12:01.000000,0.3.4,13.0,skrebate,,,,['sklearn'],204.0,142.0,https://pypi.org/project/skrebate,2021-03-20 17:11:52.000000,62.0,3226.0,3226.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n597,sklearn-evaluation,edublancas/sklearn-evaluation,,interpretability,https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2015-09-04 16:33:42.000000,2021-07-10 03:58:35.000000,2021-07-10 03:58:32.000000,28,8.0,29.0,312.0,523.0,\"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook..\",6.0,21,True,2021-06-26 14:03:00.000000,0.5.6,18.0,sklearn-evaluation,,,,['sklearn'],31.0,29.0,https://pypi.org/project/sklearn-evaluation,2021-06-26 14:01:25.000000,2.0,1255.0,1255.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n598,Hyperactive,SimonBlanke/Hyperactive,,hyperopt,https://github.com/SimonBlanke/Hyperactive,https://github.com/SimonBlanke/Hyperactive,MIT,2018-11-01 08:53:30.000000,2021-08-20 09:37:45.000000,2021-08-20 09:36:33.000000,27,3.0,24.0,291.0,1929.0,An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.,3.0,21,False,2021-07-07 12:40:57.000000,3.2.4,56.0,hyperactive,,,,,9.0,9.0,https://pypi.org/project/hyperactive,2021-07-02 12:19:28.000000,0.0,1259.0,1262.0,,,,,,,,3.0,97.0,,,,,,,,,,,,,,,,,,,,\n599,Auto ViML,AutoViML/Auto_ViML,,hyperopt,https://github.com/AutoViML/Auto_ViML,https://github.com/AutoViML/Auto_ViML,Apache-2.0,2019-06-10 13:09:15.000000,2021-07-25 14:31:54.000000,2021-07-25 14:30:59.000000,63,4.0,14.0,279.0,292.0,Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome...,6.0,21,False,2021-05-17 02:25:55.000000,0.1.682,132.0,autoviml,,,,,13.0,13.0,https://pypi.org/project/autoviml,2021-07-25 14:31:54.000000,0.0,1168.0,1168.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n600,StaticFrame,InvestmentSystems/static-frame,,data-containers,https://github.com/InvestmentSystems/static-frame,https://github.com/InvestmentSystems/static-frame,MIT,2018-01-03 15:07:52.000000,2021-08-26 02:09:03.000000,2021-08-25 00:41:23.000000,23,32.0,291.0,238.0,2839.0,Immutable and grow-only Pandas-like DataFrames with a more explicit and consistent interface.,16.0,21,False,2021-08-22 18:03:43.000000,0.8.18,117.0,static-frame,conda-forge/static-frame,,,,9.0,9.0,https://pypi.org/project/static-frame,2021-08-22 18:01:50.000000,0.0,2577.0,6204.0,https://anaconda.org/conda-forge/static-frame,2021-08-22 20:59:09.762000,108834.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n601,scikit-posthocs,maximtrp/scikit-posthocs,,probabilistics,https://github.com/maximtrp/scikit-posthocs,https://github.com/maximtrp/scikit-posthocs,MIT,2017-06-22 19:41:37.000000,2021-08-04 18:39:31.000000,2021-08-04 18:39:31.000000,23,4.0,37.0,217.0,462.0,Multiple Pairwise Comparisons (Post Hoc) Tests in Python.,8.0,21,False,2021-03-17 06:05:28.000000,0.6.7,21.0,scikit-posthocs,,,,['sklearn'],6.0,,https://pypi.org/project/scikit-posthocs,2021-03-15 16:05:51.000000,6.0,30815.0,30815.0,,,,,,,,3.0,23.0,,,,,,,,,,,,,,,,,,,,\n602,dbnd,databand-ai/dbnd,,data-pipelines,https://github.com/databand-ai/dbnd,https://github.com/databand-ai/dbnd,Apache-2.0,2020-01-02 10:42:47.000000,2021-08-25 14:10:23.000000,2021-08-25 13:56:37.000000,16,2.0,2.0,197.0,40.0,DBND is an agile pipeline framework that helps data engineering teams track and orchestrate their data processes.,10.0,21,False,2021-08-25 10:07:47.000000,0.47.3,199.0,dbnd,,,,,25.0,25.0,https://pypi.org/project/dbnd,2021-08-25 13:07:37.000000,0.0,101065.0,101065.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n603,huggingface_hub,huggingface/huggingface_hub,,model-serialisation,https://github.com/huggingface/huggingface_hub,https://github.com/huggingface/huggingface_hub,Apache-2.0,2020-12-22 10:20:28.000000,2021-08-24 14:22:00.000000,2021-08-24 14:22:00.000000,34,58.0,42.0,193.0,,all the open source things related to the Hugging Face Hub.,32.0,21,False,2021-07-28 18:44:45.000000,0.0.15,17.0,huggingface_hub,conda-forge/huggingface_hub,,,,0.0,,https://pypi.org/project/huggingface_hub,2021-07-28 12:32:56.000000,0.0,1695765.0,1697391.0,https://anaconda.org/conda-forge/huggingface_hub,2021-07-29 12:26:54.862000,9760.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n604,Glow,projectglow/glow,,medical-data,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47.000000,2021-08-05 19:25:06.000000,2021-08-05 19:25:06.000000,47,36.0,67.0,173.0,331.0,An open-source toolkit for large-scale genomic analysis.,15.0,21,False,2021-04-28 00:07:10.000000,1.0.1,11.0,glow.py,,,,,,,https://pypi.org/project/glow.py,2021-04-28 00:05:18.000000,,64073.0,64073.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n605,lazypredict,shankarpandala/lazypredict,,hyperopt,https://github.com/shankarpandala/lazypredict,https://github.com/shankarpandala/lazypredict,MIT,2019-11-16 09:56:35.000000,2021-07-13 17:13:10.000000,2021-07-13 17:13:10.000000,24,29.0,30.0,163.0,195.0,Lazy Predict help build a lot of basic models without much code and helps understand which models works better without..,14.0,21,False,2021-02-17 15:38:45.000000,0.2.9,11.0,lazypredict,,,,['sklearn'],131.0,131.0,https://pypi.org/project/lazypredict,2021-02-17 15:38:45.000000,,5269.0,5269.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n606,Dejavu,worldveil/dejavu,,audio,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35.000000,2020-10-29 17:40:17.000000,2020-06-03 05:58:03.000000,1250,84.0,129.0,5503.0,146.0,Audio fingerprinting and recognition in Python.,23.0,20,False,2015-04-19 21:20:16.000000,0.1.3,4.0,PyDejavu,,,,,21.0,18.0,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16.000000,3.0,98.0,98.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n607,TTS,mozilla/TTS,,audio,https://github.com/mozilla/TTS,https://github.com/mozilla/TTS,MPL-2.0,2018-01-23 14:22:06.000000,2021-08-10 18:22:41.000000,2021-02-12 10:36:31.000000,806,19.0,493.0,5045.0,2184.0,Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts).,56.0,20,True,2021-01-29 00:03:56.000000,0.0.9,1.0,,,,,,,,,,,,150.0,,,,,,,,3.0,1053.0,,,,,,,,,,,,,,,,,,,,\n608,cuDF,rapidsai/cudf,,gpu-utilities,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000000,2021-08-26 14:38:46.000000,2021-08-26 11:19:31.000000,539,632.0,3365.0,4130.0,,cuDF - GPU DataFrame Library.,220.0,20,True,2021-08-06 20:26:33.000000,21.08.02,15.0,cudf,,,,,4.0,,https://pypi.org/project/cudf,2020-06-01 20:07:47.000000,4.0,897.0,897.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n609,MindsDB,mindsdb/mindsdb,,ml-frameworks,https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,GPL-3.0,2018-08-02 17:56:45.000000,2021-08-26 12:55:03.000000,2021-08-10 15:20:28.000000,454,58.0,576.0,3885.0,,Predictive AI layer for existing databases.,56.0,20,False,2021-08-10 16:29:14.000000,2.45.2,65.0,mindsdb,,,,['pytorch'],6.0,,https://pypi.org/project/mindsdb,2019-03-19 05:07:23.000000,6.0,2317.0,2317.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n610,FATE,FederatedAI/FATE,,privacy-ml,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000000,2021-08-26 13:05:08.000000,2021-08-24 06:38:21.000000,967,324.0,612.0,3380.0,7621.0,An Industrial Grade Federated Learning Framework.,58.0,20,True,2021-07-29 11:56:10.000000,1.5.2,27.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n611,NLP Architect,IntelLabs/nlp-architect,,nlp,https://github.com/IntelLabs/nlp-architect,https://github.com/IntelLabs/nlp-architect,Apache-2.0,2018-05-17 21:00:13.000000,2021-08-25 16:14:36.000000,2021-04-13 08:02:56.000000,431,17.0,111.0,2715.0,953.0,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,36.0,20,True,2020-11-17 12:32:37.000000,0.5.5.1,13.0,nlp-architect,,,,,8.0,8.0,https://pypi.org/project/nlp-architect,2020-04-12 11:34:38.000000,,336.0,336.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n612,finmarketpy,cuemacro/finmarketpy,,financial-data,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03.000000,2021-07-23 10:48:32.000000,2021-07-23 10:48:25.000000,438,23.0,3.0,2662.0,675.0,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,14.0,20,True,2021-06-01 16:13:24.000000,0.11.9,10.0,finmarketpy,,,,,3.0,3.0,https://pypi.org/project/finmarketpy,2021-06-01 16:13:24.000000,,121.0,121.0,,,,,,,,3.0,40.0,,,,,,,-1.0,,,,,,,,,,,,,\n613,dpark,douban/dpark,,data-pipelines,https://github.com/douban/dpark,https://github.com/douban/dpark,BSD-3-Clause,2012-04-11 08:35:06.000000,2020-12-25 10:36:06.000000,2020-12-25 10:36:05.000000,554,,60.0,2659.0,1467.0,\"Python clone of Spark, a MapReduce alike framework in Python.\",35.0,20,True,2018-07-27 04:11:36.000000,0.5.0,19.0,dpark,,,,['spark'],4.0,3.0,https://pypi.org/project/dpark,2018-07-27 04:11:36.000000,1.0,58.0,58.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n614,Kashgari,BrikerMan/Kashgari,,nlp,https://github.com/BrikerMan/Kashgari,https://github.com/BrikerMan/Kashgari,Apache-2.0,2019-01-19 01:53:28.000000,2021-07-09 03:57:16.000000,2021-07-09 03:57:16.000000,410,34.0,318.0,2159.0,,Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-..,21.0,20,True,2021-07-04 10:44:36.000000,2.0.2,24.0,kashgari-tf,,,,['tensorflow'],42.0,40.0,https://pypi.org/project/kashgari-tf,2019-10-18 07:57:55.000000,2.0,138.0,138.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n615,Coqui TTS,coqui-ai/TTS,,audio,https://github.com/coqui-ai/TTS,https://github.com/coqui-ai/TTS,MPL-2.0,2020-05-20 15:45:28.000000,2021-08-26 15:19:29.000000,2021-08-11 08:29:27.000000,166,27.0,105.0,2068.0,,\"- a deep learning toolkit for Text-to-Speech, battle-tested in research and production.\",77.0,20,True,2021-08-11 08:43:19.000000,0.2.0,13.0,tts,,,,\"['pytorch', 'tensorflow']\",,,https://pypi.org/project/tts,2017-07-14 20:02:42.000000,,2489.0,6547.0,,,,,,,,3.0,20294.0,,,,,,,,,,,,,,,,,,,,\n616,Coach,IntelLabs/coach,,reinforcement-learning,https://github.com/IntelLabs/coach,https://github.com/IntelLabs/coach,Apache-2.0,2017-10-01 19:27:43.000000,2021-08-21 06:45:37.000000,2021-06-28 07:40:53.000000,395,86.0,183.0,2025.0,521.0,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,35.0,20,True,2019-10-10 14:17:10.000000,1.0.1,13.0,rl_coach,,,,,2.0,,https://pypi.org/project/rl_coach,2019-10-10 14:17:10.000000,2.0,223.0,223.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n617,fast-bert,utterworks/fast-bert,,nlp,https://github.com/utterworks/fast-bert,https://github.com/utterworks/fast-bert,Apache-2.0,2019-04-18 22:01:20.000000,2021-08-02 08:09:20.000000,2021-08-02 08:09:20.000000,321,146.0,94.0,1627.0,,Super easy library for BERT based NLP models.,35.0,20,True,2021-05-23 14:35:28.000000,1.9.9,43.0,fast-bert,,,,,2.0,,https://pypi.org/project/fast-bert,2021-05-23 14:35:28.000000,2.0,1392.0,1392.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n618,lightseq,bytedance/lightseq,,nlp,https://github.com/bytedance/lightseq,https://github.com/bytedance/lightseq,Apache-2.0,2019-12-06 08:25:24.000000,2021-08-26 12:10:17.000000,2021-08-20 12:05:03.000000,152,30.0,50.0,1622.0,160.0,LightSeq: A High Performance Library for Sequence Processing and Generation.,6.0,20,True,2021-08-20 03:45:03.000000,2.1.3,14.0,lightseq,,,,,,,https://pypi.org/project/lightseq,2021-08-24 05:26:25.000000,,967.0,989.0,,,,,,,,3.0,452.0,,,,,,,,,,,,,,,,,,,,\n619,NeuroNER,Franck-Dernoncourt/NeuroNER,,nlp,https://github.com/Franck-Dernoncourt/NeuroNER,https://github.com/Franck-Dernoncourt/NeuroNER,MIT,2017-03-07 01:24:15.000000,2021-08-25 15:26:28.000000,2019-10-02 23:26:11.000000,441,81.0,67.0,1564.0,132.0,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,7.0,20,False,2019-10-02 23:30:15.000000,1.0.8,7.0,pyneuroner,,,,,13.0,13.0,https://pypi.org/project/pyneuroner,2019-10-02 23:30:15.000000,,232.0,232.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n620,auto_ml,ClimbsRocks/auto_ml,,hyperopt,https://github.com/ClimbsRocks/auto_ml,https://github.com/ClimbsRocks/auto_ml,MIT,2016-08-07 21:35:08.000000,2021-02-10 07:52:35.000000,2018-03-25 19:46:25.000000,294,185.0,216.0,1547.0,1149.0,[UNMAINTAINED] Automated machine learning for analytics & production.,13.0,20,False,2018-02-22 01:13:03.000000,2.9.10,78.0,auto_ml,,,,,2.0,,https://pypi.org/project/auto_ml,2018-02-22 01:13:03.000000,2.0,3807.0,3807.0,,,,,,,,3.0,38.0,,,,,,,,,,,,,,,,,,,,\n621,Neural Tangents,google/neural-tangents,,ml-frameworks,https://github.com/google/neural-tangents,https://github.com/google/neural-tangents,Apache-2.0,2019-04-08 16:48:48.000000,2021-08-25 00:45:06.000000,2021-08-25 00:44:56.000000,171,27.0,65.0,1523.0,,Fast and Easy Infinite Neural Networks in Python.,19.0,20,True,2021-08-23 23:15:21.000000,0.3.7,21.0,neural-tangents,,,,,21.0,21.0,https://pypi.org/project/neural-tangents,2021-08-23 22:56:17.000000,0.0,778.0,787.0,,,,,,,,3.0,133.0,,,,,,,,,,,,,,,,,,,,\n622,DELTA,Delta-ML/delta,,nlp,https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57.000000,2021-08-25 14:40:10.000000,2020-12-17 06:57:15.000000,292,5.0,72.0,1455.0,932.0,DELTA is a deep learning based natural language and speech processing platform.,41.0,20,True,2020-07-16 09:31:45.000000,0.3.3,4.0,delta-nlp,,zh794390558/delta,,['tensorflow'],,,https://pypi.org/project/delta-nlp,2020-03-27 04:46:19.000000,,36.0,519.0,,,,https://hub.docker.com/r/zh794390558/delta,2021-08-03 14:50:00.516864,,13050.0,3.0,,,,,,,,,,,,,,,,,,,,,\n623,Paddle Graph Learning,PaddlePaddle/PGL,,graph,https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28.000000,2021-08-25 06:58:35.000000,2021-08-23 04:03:07.000000,171,31.0,59.0,1102.0,,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,19.0,20,True,2021-07-10 15:12:05.000000,2.1.5,13.0,pgl,,,,['paddle'],22.0,20.0,https://pypi.org/project/pgl,2021-07-10 15:12:05.000000,2.0,887.0,887.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n624,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,,pytorch-utils,https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000000,2021-08-12 07:50:57.000000,2021-08-12 07:50:56.000000,78,3.0,17.0,1094.0,744.0,PyTorch extensions for fast R&D prototyping and Kaggle farming.,6.0,20,True,2021-08-12 07:49:51.000000,0.4.4,22.0,pytorch_toolbelt,,,,['pytorch'],2.0,,https://pypi.org/project/pytorch_toolbelt,2021-08-12 07:49:51.000000,2.0,13474.0,13474.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n625,fairlearn,fairlearn/fairlearn,,interpretability,https://github.com/fairlearn/fairlearn,https://github.com/fairlearn/fairlearn,MIT,2018-05-15 01:51:35.000000,2021-08-26 15:20:37.000000,2021-08-26 15:20:37.000000,244,123.0,167.0,1042.0,,A Python package to assess and improve fairness of machine learning models.,51.0,20,True,2021-07-07 08:16:09.000000,0.7.0,16.0,fairlearn,conda-forge/fairlearn,,,['sklearn'],2.0,,https://pypi.org/project/fairlearn,2021-07-07 05:54:23.000000,2.0,27944.0,28749.0,https://anaconda.org/conda-forge/fairlearn,2021-07-07 15:56:16.605000,14490.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n626,pyts,johannfaouzi/pyts,,time-series-data,https://github.com/johannfaouzi/pyts,https://github.com/johannfaouzi/pyts,BSD-3-Clause,2017-07-31 09:23:16.000000,2021-08-26 13:27:29.000000,2021-08-26 13:27:18.000000,106,31.0,20.0,1032.0,,A Python package for time series classification.,9.0,20,True,2020-03-21 12:41:33.000000,0.11.0,17.0,pyts,conda-forge/pyts,,,,139.0,135.0,https://pypi.org/project/pyts,2020-03-21 12:36:40.000000,4.0,10346.0,10703.0,https://anaconda.org/conda-forge/pyts,2020-03-21 14:08:24.734000,8586.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n627,Sockeye,awslabs/sockeye,,nlp,https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30.000000,2021-08-26 09:52:21.000000,2021-08-11 23:27:16.000000,295,20.0,230.0,1015.0,752.0,Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet.,52.0,20,True,2021-06-17 10:51:22.000000,2.3.17,64.0,sockeye,,,,['mxnet'],2.0,,https://pypi.org/project/sockeye,2021-06-17 10:51:22.000000,2.0,543.0,543.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n628,TensorNets,taehoonlee/tensornets,,tensorflow-utils,https://github.com/taehoonlee/tensornets,https://github.com/taehoonlee/tensornets,MIT,2017-09-19 05:19:01.000000,2021-01-02 06:28:10.000000,2021-01-02 06:26:24.000000,185,16.0,42.0,993.0,284.0,High level network definitions with pre-trained weights in TensorFlow.,6.0,20,True,2020-03-31 04:38:27.000000,0.4.6,12.0,tensornets,,,,['tensorflow'],44.0,40.0,https://pypi.org/project/tensornets,2020-03-31 04:35:15.000000,4.0,359.0,359.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n629,fastFM,ibayer/fastFM,,recommender-systems,https://github.com/ibayer/fastFM,https://github.com/ibayer/fastFM,BSD-3-Clause,2014-10-27 12:25:51.000000,2021-03-24 12:22:31.000000,2021-03-24 12:22:31.000000,186,44.0,60.0,932.0,297.0,fastFM: A Library for Factorization Machines.,20.0,20,True,2017-11-23 06:59:56.000000,0.2.11,10.0,fastfm,,,,,93.0,85.0,https://pypi.org/project/fastfm,2017-11-23 06:59:56.000000,8.0,893.0,898.0,,,,,,,,3.0,398.0,,,,,,,,,,,,,,,,,,,,\n630,geoplotlib,andrea-cuttone/geoplotlib,,geospatial-data,https://github.com/andrea-cuttone/geoplotlib,https://github.com/andrea-cuttone/geoplotlib,MIT,2015-02-24 13:13:07.000000,2020-04-10 20:00:31.000000,2019-05-06 07:06:50.000000,155,30.0,18.0,929.0,159.0,python toolbox for visualizing geographical data and making maps.,8.0,20,False,2016-07-27 14:55:01.000000,0.3.2,4.0,geoplotlib,,,,,121.0,110.0,https://pypi.org/project/geoplotlib,2016-07-27 14:55:01.000000,11.0,874.0,874.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n631,advertorch,BorealisAI/advertorch,,adversarial,https://github.com/BorealisAI/advertorch,https://github.com/BorealisAI/advertorch,GPL-3.0,2018-11-29 22:17:33.000000,2021-08-24 22:30:15.000000,2021-07-30 15:59:28.000000,149,15.0,33.0,908.0,273.0,A Toolbox for Adversarial Robustness Research.,18.0,20,False,2020-06-15 01:20:07.000000,0.2.3,10.0,advertorch,,,,['pytorch'],53.0,47.0,https://pypi.org/project/advertorch,2020-06-15 01:20:07.000000,6.0,937.0,937.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n632,DALEX,ModelOriented/DALEX,,interpretability,https://github.com/ModelOriented/DALEX,https://github.com/ModelOriented/DALEX,GPL-3.0,2018-02-18 03:24:12.000000,2021-08-26 11:48:32.000000,2021-08-24 19:37:32.000000,118,17.0,299.0,884.0,580.0,moDel Agnostic Language for Exploration and eXplanation.,20.0,20,False,2021-07-17 14:35:51.000000,1.3.0,21.0,dalex,,,,,18.0,18.0,https://pypi.org/project/dalex,2021-07-17 14:35:51.000000,0.0,7345.0,7345.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n633,attention-ocr,emedvedev/attention-ocr,,ocr,https://github.com/emedvedev/attention-ocr,https://github.com/emedvedev/attention-ocr,MIT,2017-07-21 18:35:19.000000,2021-02-23 04:33:25.000000,2020-10-31 19:40:19.000000,233,21.0,126.0,873.0,196.0,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,27.0,20,True,2020-10-12 06:56:40.000000,0.7.6,21.0,aocr,,,,['tensorflow'],18.0,18.0,https://pypi.org/project/aocr,2019-04-19 05:28:27.000000,,522.0,522.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n634,nude.py,hhatto/nude.py,,image,https://github.com/hhatto/nude.py,https://github.com/hhatto/nude.py,MIT,2013-06-09 06:55:55.000000,2020-11-23 13:49:32.000000,2020-11-23 13:49:02.000000,131,7.0,2.0,813.0,79.0,Nudity detection with Python.,12.0,20,True,2020-11-23 13:49:17.000000,0.5.1,10.0,nudepy,,,,,700.0,682.0,https://pypi.org/project/nudepy,2020-11-23 13:49:17.000000,18.0,3842.0,3842.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n635,NGT,yahoojapan/NGT,,nn-search,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000000,2021-07-15 06:52:25.000000,2021-07-15 06:52:25.000000,78,7.0,74.0,772.0,131.0,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,12.0,20,True,2021-03-12 02:52:55.000000,1.13.5,49.0,ngt,,,,,6.0,,https://pypi.org/project/ngt,2020-09-23 06:52:45.000000,6.0,12594.0,12594.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n636,AstroML,astroML/astroML,,others,https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50.000000,2021-08-04 16:00:40.000000,2021-04-07 06:12:17.000000,271,53.0,84.0,770.0,,\"Machine learning, statistics, and data mining for astronomy and astrophysics.\",30.0,20,True,2019-10-02 06:32:58.000000,0.4.1,10.0,astroML,conda-forge/astroml,,,['sklearn'],29.0,,https://pypi.org/project/astroML,2020-03-23 23:20:49.000000,29.0,1176.0,1701.0,https://anaconda.org/conda-forge/astroml,2020-02-16 04:18:54.678000,25226.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n637,TensorFrames,databricks/tensorframes,,distributed-ml,https://github.com/databricks/tensorframes,https://github.com/databricks/tensorframes,Apache-2.0,2016-03-04 19:25:19.000000,2021-08-25 14:58:55.000000,2019-11-15 21:43:53.000000,156,51.0,43.0,764.0,221.0,[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark.,16.0,20,False,2018-11-16 20:50:02.000000,0.6.0,6.0,tensorframes,,,,\"['tensorflow', 'spark']\",1.0,,https://pypi.org/project/tensorframes,2018-05-16 14:20:28.000000,1.0,18348.0,18348.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n638,YouTokenToMe,vkcom/youtokentome,,nlp,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28.000000,2021-01-28 23:05:01.000000,2021-01-28 19:04:09.000000,49,25.0,22.0,757.0,79.0,Unsupervised text tokenizer focused on computational efficiency.,6.0,20,True,2020-02-13 09:57:47.000000,1.0.6,14.0,youtokentome,,,,,156.0,144.0,https://pypi.org/project/youtokentome,2020-02-12 18:24:46.000000,12.0,14627.0,14627.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n639,Saliency,PAIR-code/saliency,,tensorflow-utils,https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35.000000,2021-07-28 22:22:28.000000,2021-07-28 22:22:27.000000,159,14.0,26.0,709.0,79.0,\"Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).\",14.0,20,True,2021-05-03 16:33:29.000000,0.1.3,10.0,saliency,,,,['tensorflow'],20.0,18.0,https://pypi.org/project/saliency,2021-05-03 16:33:29.000000,2.0,334.0,334.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n640,mlens,flennerhag/mlens,,others,https://github.com/flennerhag/mlens,https://github.com/flennerhag/mlens,MIT,2017-01-10 20:53:47.000000,2020-02-25 14:32:48.000000,2020-02-25 14:31:53.000000,89,8.0,73.0,697.0,879.0,ML-Ensemble high performance ensemble learning.,7.0,20,False,2018-10-30 22:34:35.000000,0.2.3,14.0,mlens,,,,,152.0,149.0,https://pypi.org/project/mlens,2018-10-30 22:30:43.000000,3.0,3196.0,3196.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n641,PFRL,pfnet/pfrl,,reinforcement-learning,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50.000000,2021-07-17 16:40:09.000000,2021-07-07 02:39:27.000000,87,22.0,30.0,687.0,382.0,PFRL: a PyTorch-based deep reinforcement learning library.,14.0,20,True,2021-07-07 02:43:23.000000,0.3.0,5.0,pfrl,,,,,22.0,22.0,https://pypi.org/project/pfrl,2021-07-07 02:48:20.000000,0.0,564.0,564.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n642,NearPy,pixelogik/NearPy,,nn-search,https://github.com/pixelogik/NearPy,https://github.com/pixelogik/NearPy,MIT,2013-04-25 09:10:26.000000,2020-02-17 20:24:08.000000,2018-10-21 17:54:28.000000,140,24.0,38.0,685.0,159.0,\"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..\",18.0,20,False,2016-09-27 13:04:44.000000,1.0.0,8.0,NearPy,,,,,70.0,54.0,https://pypi.org/project/NearPy,2016-09-27 13:03:12.000000,16.0,1696.0,1696.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n643,RLax,deepmind/rlax,,reinforcement-learning,https://github.com/deepmind/rlax,https://github.com/deepmind/rlax,Apache-2.0,2020-02-18 07:14:59.000000,2021-08-26 14:38:40.000000,2021-08-26 13:56:38.000000,49,7.0,6.0,660.0,120.0,A library of reinforcement learning building blocks in JAX.,12.0,20,True,2021-07-08 18:31:19.000000,0.0.4,4.0,rlax,,,,['jax'],23.0,23.0,https://pypi.org/project/rlax,2020-02-19 23:01:30.000000,,1204.0,1204.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n644,Orbit,uber/orbit,,probabilistics,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000000,2021-08-26 14:53:13.000000,2021-08-25 19:26:47.000000,48,40.0,207.0,649.0,663.0,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,12.0,20,True,2021-08-02 22:15:29.000000,1.0.15,13.0,orbit-ml,,,,,4.0,4.0,https://pypi.org/project/orbit-ml,2021-08-02 22:15:29.000000,0.0,4243.0,4243.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n645,DiCE,interpretml/DiCE,,interpretability,https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000000,2021-08-25 23:27:38.000000,2021-08-24 06:51:17.000000,81,32.0,45.0,619.0,418.0,Generate Diverse Counterfactual Explanations for any machine learning model.,11.0,20,True,2021-08-24 06:54:07.000000,0.7.1,7.0,dice-ml,,,,\"['tensorflow', 'pytorch']\",0.0,,https://pypi.org/project/dice-ml,2021-08-24 06:54:07.000000,0.0,21562.0,21562.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n646,Feature Engine,solegalli/feature_engine,,others,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2020-08-06 19:43:35.639000,2021-08-09 10:22:55.000000,2021-08-06 12:03:40.000000,168,,,601.0,,Feature engineering package with sklearn like functionality.,24.0,20,True,2021-06-22 08:04:44.000000,1.1.0,27.0,feature_engine,conda-forge/feature_engine,,,,2.0,,https://pypi.org/project/feature_engine,2021-08-06 13:07:57.000000,2.0,30459.0,30847.0,https://anaconda.org/conda-forge/feature_engine,2021-08-06 16:51:22.906000,4658.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n647,pyhsmm,mattjj/pyhsmm,,probabilistics,https://github.com/mattjj/pyhsmm,https://github.com/mattjj/pyhsmm,MIT,2012-03-18 17:40:13.000000,2020-09-29 20:58:26.000000,2020-08-24 17:03:59.000000,159,39.0,60.0,497.0,1426.0,Bayesian inference in HSMMs and HMMs.,13.0,20,True,2017-05-10 17:14:37.000000,0.1.7,8.0,pyhsmm,,,,,29.0,21.0,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37.000000,8.0,221.0,221.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n648,Poutyne,GRAAL-Research/poutyne,,pytorch-utils,https://github.com/GRAAL-Research/poutyne,https://github.com/GRAAL-Research/poutyne,LGPL-3.0,2017-12-07 18:30:17.000000,2021-08-20 15:45:08.000000,2021-06-09 17:53:33.000000,50,7.0,38.0,484.0,571.0,A simplified framework and utilities for PyTorch.,16.0,20,False,2021-05-22 14:42:18.000000,1.5,22.0,poutyne,,,,['pytorch'],66.0,62.0,https://pypi.org/project/poutyne,2021-05-22 14:42:36.000000,4.0,3146.0,3146.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n649,HpBandSter,automl/HpBandSter,,hyperopt,https://github.com/automl/HpBandSter,https://github.com/automl/HpBandSter,BSD-3-Clause,2017-12-17 20:28:20.000000,2021-01-31 10:05:37.000000,2019-03-26 09:26:28.000000,103,57.0,35.0,482.0,187.0,a distributed Hyperband implementation on Steroids.,11.0,20,False,2019-07-30 12:47:43.000000,1.0,8.0,hpbandster,,,,,173.0,157.0,https://pypi.org/project/hpbandster,2018-11-06 12:56:55.000000,16.0,26357.0,26357.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n650,seglearn,dmbee/seglearn,,time-series-data,https://github.com/dmbee/seglearn,https://github.com/dmbee/seglearn,BSD-3-Clause,2018-03-05 20:53:59.000000,2021-03-13 16:18:30.000000,2021-03-12 17:12:50.000000,49,5.0,23.0,473.0,268.0,Python module for machine learning time series:.,13.0,20,True,2021-03-13 16:18:30.000000,1.2.3,22.0,seglearn,,,,,11.0,10.0,https://pypi.org/project/seglearn,2021-03-13 16:18:30.000000,1.0,1121.0,1121.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n651,aequitas,dssg/aequitas,,interpretability,https://github.com/dssg/aequitas,https://github.com/dssg/aequitas,MIT,2018-02-13 19:40:30.000000,2021-07-13 10:19:56.000000,2021-05-27 09:45:10.000000,77,37.0,21.0,410.0,857.0,Bias and Fairness Audit Toolkit.,16.0,20,True,2020-12-16 11:48:14.000000,0.42.0,16.0,aequitas,,,,,83.0,77.0,https://pypi.org/project/aequitas,2020-12-16 11:48:14.000000,6.0,890.0,890.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n652,pydlm,wwrechard/pydlm,,time-series-data,https://github.com/wwrechard/pydlm,https://github.com/wwrechard/pydlm,BSD-3-Clause,2016-06-29 07:58:53.000000,2021-02-24 14:21:28.000000,2019-10-22 07:18:40.000000,86,35.0,8.0,400.0,362.0,A python library for Bayesian time series modeling.,6.0,20,False,2016-11-06 01:43:35.000000,0.1.1,13.0,pydlm,,,,,24.0,22.0,https://pypi.org/project/pydlm,2018-12-19 10:27:54.000000,2.0,16999.0,16999.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n653,DESlib,scikit-learn-contrib/DESlib,,sklearn-utils,https://github.com/scikit-learn-contrib/DESlib,https://github.com/scikit-learn-contrib/DESlib,BSD-3-Clause,2017-12-08 22:49:49.000000,2021-07-25 18:34:49.000000,2021-04-09 04:41:45.000000,73,14.0,127.0,342.0,272.0,A Python library for dynamic classifier and ensemble selection.,13.0,20,True,2021-02-08 06:29:25.000000,0.3.5,4.0,deslib,,,,['sklearn'],22.0,22.0,https://pypi.org/project/deslib,2021-02-08 06:29:25.000000,0.0,2158.0,2158.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n654,scikit-tda,scikit-tda/scikit-tda,,sklearn-utils,https://github.com/scikit-tda/scikit-tda,https://github.com/scikit-tda/scikit-tda,MIT,2018-04-13 21:00:31.000000,2021-08-03 00:23:20.000000,2021-08-03 00:21:54.000000,35,12.0,4.0,300.0,60.0,Topological Data Analysis for Python.,3.0,20,True,2021-08-03 00:23:20.000000,1.0.0,4.0,scikit-tda,,,,['sklearn'],21.0,21.0,https://pypi.org/project/scikit-tda,2021-08-03 00:23:20.000000,,3784.0,3784.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n655,EarthPy,earthlab/earthpy,,geospatial-data,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000000,2021-08-22 19:14:37.000000,2021-07-01 19:57:43.000000,116,20.0,205.0,286.0,,A package built to support working with spatial data using open source python.,40.0,20,False,2020-06-18 23:58:08.000000,0.9.2,22.0,earthpy,conda-forge/earthpy,,,,108.0,102.0,https://pypi.org/project/earthpy,2020-06-18 23:58:08.000000,6.0,3358.0,4637.0,https://anaconda.org/conda-forge/earthpy,2020-06-19 15:23:44.425000,35830.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n656,impyute,eltonlaw/impyute,,others,https://github.com/eltonlaw/impyute,https://github.com/eltonlaw/impyute,MIT,2017-01-21 09:16:27.000000,2020-06-12 21:08:40.000000,2019-10-05 20:39:08.000000,42,27.0,36.0,286.0,289.0,Data imputations library to preprocess datasets with missing data.,10.0,20,False,2019-04-29 02:31:32.000000,0.0.8,8.0,impyute,,,,,118.0,114.0,https://pypi.org/project/impyute,2019-04-29 02:31:32.000000,4.0,2408.0,2408.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n657,SUOD,yzhao062/SUOD,,others,https://github.com/yzhao062/SUOD,https://github.com/yzhao062/SUOD,BSD-2-Clause,2019-11-20 00:23:54.000000,2021-01-19 14:42:08.000000,2021-01-19 14:42:01.000000,32,3.0,2.0,284.0,134.0,(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection).,1.0,20,False,2021-01-15 02:12:04.000000,0.0.6,7.0,suod,,,,,361.0,361.0,https://pypi.org/project/suod,2021-01-15 02:12:04.000000,,39722.0,39722.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n658,chefboost,serengil/chefboost,,ml-frameworks,https://github.com/serengil/chefboost,https://github.com/serengil/chefboost,MIT,2019-03-06 12:26:27.000000,2021-06-29 13:35:23.000000,2021-06-29 13:35:23.000000,64,1.0,13.0,266.0,316.0,\"A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some..\",5.0,20,False,2021-06-28 19:23:52.000000,0.0.13,13.0,chefboost,,,,,13.0,13.0,https://pypi.org/project/chefboost,2021-06-28 19:23:52.000000,,461.0,461.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n659,imodels,csinva/imodels,,interpretability,https://github.com/csinva/imodels,https://github.com/csinva/imodels,MIT,2019-07-04 15:38:48.000000,2021-08-20 18:14:21.000000,2021-08-20 18:14:21.000000,22,,12.0,246.0,378.0,\"Interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible).\",5.0,20,False,2021-07-20 00:24:59.000000,0.2.9,9.0,imodels,,,,,7.0,7.0,https://pypi.org/project/imodels,2021-07-20 00:22:47.000000,,1205.0,1205.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n660,ivis,beringresearch/ivis,,data-viz,https://github.com/beringresearch/ivis,https://github.com/beringresearch/ivis,Apache-2.0,2018-08-13 08:31:01.000000,2021-07-15 05:48:28.000000,2021-07-12 14:21:39.000000,25,3.0,47.0,242.0,596.0,Dimensionality reduction in very large datasets using Siamese Networks.,9.0,20,False,2021-07-13 05:59:35.000000,2.0.5,31.0,ivis,,,,['tensorflow'],17.0,17.0,https://pypi.org/project/ivis,2021-07-13 05:55:01.000000,0.0,383.0,383.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n661,pyfasttext,vrasneur/pyfasttext,,nlp,https://github.com/vrasneur/pyfasttext,https://github.com/vrasneur/pyfasttext,GPL-3.0,2017-06-30 18:44:42.000000,2018-12-08 15:32:09.000000,2018-12-08 15:02:12.000000,30,21.0,28.0,230.0,153.0,Yet another Python binding for fastText.,4.0,20,False,2018-12-08 15:32:09.000000,0.4.6,13.0,pyfasttext,,,,,191.0,178.0,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09.000000,13.0,3505.0,3512.0,,,,,,,,3.0,340.0,,,,,,,,,,,,,,,,,,,,\n662,Funsor,pyro-ppl/funsor,,probabilistics,https://github.com/pyro-ppl/funsor,https://github.com/pyro-ppl/funsor,Apache-2.0,2019-01-30 23:13:39.000000,2021-08-26 03:28:14.000000,2021-08-24 11:39:54.000000,14,73.0,68.0,179.0,538.0,Functional tensors for probabilistic programming.,9.0,20,False,2021-07-02 04:10:35.000000,0.4.1,7.0,funsor,,,,['pytorch'],16.0,16.0,https://pypi.org/project/funsor,2021-07-02 04:09:26.000000,0.0,1458.0,1458.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n663,nvidia-ml-py3,nicolargo/nvidia-ml-py3,,gpu-utilities,https://github.com/nicolargo/nvidia-ml-py3,https://github.com/nicolargo/nvidia-ml-py3,BSD-3-Clause,2017-06-03 07:47:03.000000,2019-03-06 20:41:10.000000,2019-03-06 20:41:09.000000,15,2.0,,67.0,5.0,Python 3 Bindings for the NVIDIA Management Library.,2.0,20,False,2017-06-03 07:43:46.000000,7.352.0,1.0,nvidia-ml-py3,,,,,4115.0,3895.0,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46.000000,220.0,784639.0,784639.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n664,Recommenders,microsoft/recommenders,,recommender-systems,https://github.com/microsoft/recommenders,https://github.com/microsoft/recommenders,MIT,2018-09-19 10:06:07.000000,2021-08-26 12:25:41.000000,2021-08-23 13:49:38.000000,1852,147.0,465.0,10935.0,,Best Practices on Recommendation Systems.,100.0,19,True,2021-06-18 15:59:34.000000,0.6.0,8.0,,,,,,1.0,1.0,,,,,0.0,,,,,,,,3.0,32.0,,,,,,,,,,,,,,,,,,,,\n665,PaddleDetection,PaddlePaddle/PaddleDetection,,image,https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000000,2021-08-26 08:44:41.000000,2021-08-26 06:51:35.000000,1151,540.0,1753.0,4527.0,,Object detection and instance segmentation toolkit based on PaddlePaddle.,65.0,19,True,2021-08-17 09:24:50.000000,2.2.0,4.0,,,,,['paddle'],5.0,5.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n666,AugLy,facebookresearch/AugLy,,others,https://github.com/facebookresearch/AugLy,https://github.com/facebookresearch/AugLy,MIT,2021-06-09 17:57:28.000000,2021-08-26 13:23:19.000000,2021-08-15 23:43:35.000000,175,11.0,29.0,3774.0,,\"A data augmentations library for audio, image, text, and video.\",9.0,19,True,2021-07-09 08:21:04.000000,0.1.5,11.0,augly,,,,,6.0,6.0,https://pypi.org/project/augly,2021-07-20 17:57:06.000000,,1427.0,1427.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n667,Crypto Signals,CryptoSignal/crypto-signal,,financial-data,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24.000000,2021-08-13 23:34:14.000000,2021-06-28 16:44:17.000000,896,48.0,197.0,3334.0,564.0,\"Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 2,100 + stars, 580 + forks.\",28.0,19,True,,,,,,shadowreaver/crypto-signal,,,,,,,,,2938.0,,,,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133,7.0,138125.0,3.0,,,,,,,,,,,,,,,,,,,,,\n668,BytePS,bytedance/byteps,,distributed-ml,https://github.com/bytedance/byteps,https://github.com/bytedance/byteps,Apache-2.0,2019-06-25 07:00:13.000000,2021-08-26 07:10:09.000000,2021-08-11 22:41:09.000000,405,100.0,154.0,2934.0,422.0,A high performance and generic framework for distributed DNN training.,19.0,19,True,2020-08-27 15:42:13.000000,0.2.4,8.0,byteps,,bytepsimage/tensorflow,,,,,https://pypi.org/project/byteps,2021-08-02 17:37:42.000000,,245.0,289.0,,,,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,1153.0,3.0,,,,,,,,,,,,,,,,,,,,,\n669,AdaBound,Luolc/AdaBound,,pytorch-utils,https://github.com/Luolc/AdaBound,https://github.com/Luolc/AdaBound,Apache-2.0,2019-02-15 18:05:20.000000,2019-03-06 17:01:52.000000,2019-03-06 17:01:45.000000,327,16.0,7.0,2865.0,27.0,An optimizer that trains as fast as Adam and as good as SGD.,2.0,19,False,2019-03-06 16:44:42.000000,0.0.5,4.0,adabound,,,,['pytorch'],128.0,116.0,https://pypi.org/project/adabound,2019-02-26 04:23:45.000000,12.0,928.0,928.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n670,tf-quant-finance,google/tf-quant-finance,,financial-data,https://github.com/google/tf-quant-finance,https://github.com/google/tf-quant-finance,Apache-2.0,2019-07-24 16:09:50.000000,2021-08-25 18:17:39.000000,2021-08-25 18:17:33.000000,369,17.0,18.0,2769.0,795.0,High-performance TensorFlow library for quantitative finance.,33.0,19,True,,,24.0,tf-quant-finance,,,,['tensorflow'],0.0,,https://pypi.org/project/tf-quant-finance,2021-07-22 17:18:53.000000,0.0,352.0,352.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n671,image-match,ProvenanceLabs/image-match,,image,https://github.com/ProvenanceLabs/image-match,https://github.com/ProvenanceLabs/image-match,Apache-2.0,2016-03-08 18:16:45.000000,2021-01-04 18:36:01.000000,2021-01-04 18:35:59.000000,371,47.0,48.0,2619.0,404.0,Quickly search over billions of images.,18.0,19,True,2017-02-13 14:54:48.000000,1.1.2,10.0,image_match,,,,,6.0,,https://pypi.org/project/image_match,2017-02-13 14:54:48.000000,6.0,577.0,577.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n672,StreamAlert,airbnb/streamalert,,others,https://github.com/airbnb/streamalert,https://github.com/airbnb/streamalert,Apache-2.0,2017-01-22 01:10:56.000000,2021-08-25 00:02:27.000000,2021-02-10 05:03:05.000000,322,84.0,255.0,2573.0,1893.0,\"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data..\",31.0,19,True,2020-10-05 21:50:56.000000,3.4.1,27.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n673,Apache Singa,apache/singa,,distributed-ml,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000000,2021-08-26 14:24:06.000000,2021-08-10 09:12:48.000000,655,40.0,38.0,2329.0,2360.0,a distributed deep learning platform.,76.0,19,True,2020-04-21 08:01:08.000000,3.0.0,16.0,,nusdbsystem/singa,apache/singa,,,1.0,1.0,,,,,7.0,https://anaconda.org/nusdbsystem/singa,2021-08-09 13:10:26.397000,291.0,https://hub.docker.com/r/apache/singa,2019-06-04 04:32:52.195956,3.0,182.0,3.0,,,,,,,,,,,,,,,,,,,,,\n674,HiPlot,facebookresearch/hiplot,,data-viz,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41.000000,2021-08-13 08:14:15.000000,2021-08-13 08:06:35.000000,98,11.0,57.0,2172.0,,HiPlot makes understanding high dimensional data easy.,6.0,19,True,2021-07-28 20:18:20.000000,0.1.28,74.0,hiplot,conda-forge/hiplot,,,,2.0,2.0,https://pypi.org/project/hiplot,2021-07-28 20:29:29.000000,0.0,10927.0,14428.0,https://anaconda.org/conda-forge/hiplot,2021-07-28 22:53:46.570000,63020.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n675,pdftabextract,WZBSocialScienceCenter/pdftabextract,,ocr,https://github.com/WZBSocialScienceCenter/pdftabextract,https://github.com/WZBSocialScienceCenter/pdftabextract,Apache-2.0,2016-07-08 11:44:46.000000,2020-12-28 00:52:23.000000,2018-10-26 13:57:02.000000,336,3.0,18.0,1944.0,168.0,A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.,2.0,19,False,2018-01-09 08:00:24.000000,0.3.0,5.0,pdftabextract,,,,,38.0,37.0,https://pypi.org/project/pdftabextract,2018-01-09 08:00:24.000000,1.0,598.0,598.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n676,River,online-ml/river,,others,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000000,2021-08-24 02:01:34.000000,2021-08-24 02:01:33.000000,232,29.0,309.0,1878.0,3151.0,Online machine learning in Python.,66.0,19,True,,,,,,,,,33.0,33.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n677,pytorchvideo,facebookresearch/pytorchvideo,,image,https://github.com/facebookresearch/pytorchvideo,https://github.com/facebookresearch/pytorchvideo,Apache-2.0,2021-03-09 20:39:13.000000,2021-08-25 21:04:17.000000,2021-08-25 21:04:14.000000,135,36.0,40.0,1741.0,86.0,A deep learning library for video understanding research.,21.0,19,True,2021-06-26 00:17:07.000000,0.1.2,7.0,pytorchvideo,,,,['pytorch'],0.0,,https://pypi.org/project/pytorchvideo,2021-06-26 00:17:07.000000,0.0,5215.0,5215.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n678,Backtesting.py,kernc/backtesting.py,,financial-data,https://github.com/kernc/backtesting.py,https://github.com/kernc/backtesting.py,AGPL-3.0,2019-01-02 03:11:32.000000,2021-08-19 07:16:54.000000,2021-08-16 02:10:34.000000,356,34.0,212.0,1634.0,239.0,Backtest trading strategies in Python.,15.0,19,False,2017-07-22 02:00:06.000000,0.0.1,1.0,backtesting,,,,,2.0,,https://pypi.org/project/backtesting,2017-07-22 02:00:06.000000,2.0,11992.0,11992.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n679,ThunderSVM,Xtra-Computing/thundersvm,,ml-frameworks,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04.000000,2021-02-10 05:12:44.000000,2021-02-10 05:12:44.000000,177,52.0,146.0,1327.0,902.0,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,33.0,19,True,2020-03-13 12:36:30.000000,0.3.12,9.0,thundersvm,,,,,,,https://pypi.org/project/thundersvm,2020-03-13 12:36:30.000000,,582.0,621.0,,,,,,,,3.0,2237.0,,,,,,,,,,,,,,,,,,,,\n680,Haiku,deepmind/dm-haiku,,ml-frameworks,https://github.com/deepmind/dm-haiku,https://github.com/deepmind/dm-haiku,Apache-2.0,2020-02-18 07:14:02.000000,2021-08-25 15:00:24.000000,2021-08-16 18:10:56.000000,97,24.0,80.0,1320.0,,JAX-based neural network library.,45.0,19,True,2021-04-12 13:12:13.000000,0.0.4,6.0,,,,,,165.0,165.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n681,doc2text,jlsutherland/doc2text,,ocr,https://github.com/jlsutherland/doc2text,https://github.com/jlsutherland/doc2text,MIT,2016-08-28 19:30:02.000000,2020-12-01 22:56:27.000000,2020-12-01 22:56:26.000000,101,14.0,9.0,1244.0,62.0,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,5.0,19,True,2016-09-06 21:59:21.000000,0.2.4,5.0,doc2text,,,,,44.0,44.0,https://pypi.org/project/doc2text,2016-09-06 21:59:21.000000,,431.0,431.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n682,Norfair,tryolabs/norfair,,image,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000000,2021-07-29 16:06:18.000000,2021-07-29 16:06:09.000000,79,9.0,29.0,1076.0,281.0,Lightweight Python library for adding real-time object tracking to any detector.,9.0,19,True,2021-07-29 15:49:06.000000,0.3.1,12.0,norfair,,,,,0.0,,https://pypi.org/project/norfair,2021-07-29 15:49:06.000000,0.0,2425.0,2425.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n683,Skater,oracle/Skater,,interpretability,https://github.com/oracle/Skater,https://github.com/oracle/Skater,UPL-1.0,2017-01-26 05:45:42.000000,2020-11-01 15:57:12.273000,2020-06-29 20:07:12.000000,163,69.0,97.0,997.0,1101.0,Python Library for Model Interpretation/Explanations.,34.0,19,False,2018-09-21 07:03:32.000000,1.1.2,23.0,skater,conda-forge/skater,,,,,,https://pypi.org/project/skater,2018-09-21 07:03:32.000000,,3792.0,4654.0,https://anaconda.org/conda-forge/skater,2020-11-01 15:57:12.273000,43125.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n684,graph4nlp,graph4ai/graph4nlp,,graph,https://github.com/graph4ai/graph4nlp,https://github.com/graph4ai/graph4nlp,Apache-2.0,2020-07-16 03:28:48.000000,2021-08-26 14:54:11.000000,2021-08-18 14:12:31.000000,105,5.0,64.0,975.0,1389.0,Graph4nlp is the library for the easy use of Graph Neural Networks for NLP.,19.0,19,True,2021-06-15 16:00:17.000000,0.4.1-alpha,9.0,graph4nlp,,,,['pytorch'],,,https://pypi.org/project/graph4nlp,2021-06-06 14:20:47.000000,,172.0,172.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n685,pytorch_geometric_temporal,benedekrozemberczki/pytorch_geometric_temporal,,graph,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,MIT,2020-06-27 01:11:33.000000,2021-08-17 19:48:32.000000,2021-08-17 19:48:29.000000,122,3.0,50.0,953.0,1755.0,PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021).,11.0,19,True,2021-08-04 20:01:57.000000,_00040,38.0,torch-geometric-temporal,,,,['pytorch'],,,https://pypi.org/project/torch-geometric-temporal,2021-08-04 20:00:43.000000,,1250.0,1250.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n686,Fiber,uber/fiber,,distributed-ml,https://github.com/uber/fiber,https://github.com/uber/fiber,Apache-2.0,2020-01-07 18:16:24.000000,2021-06-30 02:02:42.000000,2021-03-15 07:00:08.000000,102,20.0,8.0,928.0,66.0,Distributed Computing for AI Made Simple.,5.0,19,True,2020-07-09 03:28:28.000000,0.2.1,6.0,fiber,,,,,29.0,28.0,https://pypi.org/project/fiber,2020-07-09 03:28:28.000000,1.0,1139.0,1139.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n687,Databolt Flow,d6t/d6tflow,,data-pipelines,https://github.com/d6t/d6tflow,https://github.com/d6t/d6tflow,MIT,2019-02-03 01:51:22.000000,2021-04-28 04:27:05.000000,2021-04-28 04:27:05.000000,67,9.0,13.0,920.0,241.0,Python library for building highly effective data science workflows.,12.0,19,True,2021-03-17 03:43:31.000000,0.2.3,20.0,d6tflow,,,,,13.0,13.0,https://pypi.org/project/d6tflow,2021-03-17 03:43:31.000000,,376.0,376.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n688,calamari,Calamari-OCR/calamari,,ocr,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,Apache-2.0,2018-03-20 15:22:29.000000,2021-08-06 08:51:00.000000,2021-08-05 13:44:31.000000,180,33.0,181.0,858.0,388.0,Line based ATR Engine based on OCRopy.,18.0,19,True,2021-05-30 10:58:28.000000,2.1.2,28.0,calamari_ocr,,,,,2.0,,https://pypi.org/project/calamari_ocr,2018-11-13 11:24:45.000000,2.0,825.0,825.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n689,mrq,pricingassistant/mrq,,data-pipelines,https://github.com/pricingassistant/mrq,https://github.com/pricingassistant/mrq,MIT,2014-02-13 09:32:40.000000,2021-05-19 17:32:27.000000,2020-12-13 18:58:15.000000,113,59.0,119.0,846.0,709.0,Mr. Queue - A distributed worker task queue in Python using Redis & gevent.,37.0,19,True,2018-08-31 16:03:04.000000,0.9.10,70.0,mrq,,,,,37.0,25.0,https://pypi.org/project/mrq,2018-08-31 16:03:04.000000,12.0,419.0,419.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n690,tffm,geffy/tffm,,tensorflow-utils,https://github.com/geffy/tffm,https://github.com/geffy/tffm,MIT,2016-05-02 17:06:07.000000,2020-05-22 21:40:58.000000,2020-05-22 21:40:57.000000,176,17.0,21.0,770.0,106.0,TensorFlow implementation of an arbitrary order Factorization Machine.,10.0,19,False,2018-01-27 11:43:26.000000,1.0.1,2.0,tffm,,,,['tensorflow'],12.0,11.0,https://pypi.org/project/tffm,2018-01-27 11:43:26.000000,1.0,1866.0,1866.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n691,pytorch2keras,gmalivenko/pytorch2keras,,model-serialisation,https://github.com/gmalivenko/pytorch2keras,https://github.com/gmalivenko/pytorch2keras,MIT,2017-11-16 20:21:43.000000,2021-08-06 08:18:46.000000,2021-08-06 08:18:46.000000,122,49.0,67.0,735.0,282.0,PyTorch to Keras model convertor.,13.0,19,True,2020-05-14 10:03:56.000000,0.2.4,23.0,pytorch2keras,,,,,25.0,24.0,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56.000000,1.0,695.0,695.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n692,Performer Pytorch,lucidrains/performer-pytorch,,pytorch-utils,https://github.com/lucidrains/performer-pytorch,https://github.com/lucidrains/performer-pytorch,MIT,2020-10-03 03:41:36.000000,2021-08-23 09:45:10.000000,2021-08-21 17:28:24.000000,92,27.0,39.0,697.0,,\"An implementation of Performer, a linear attention-based transformer, in Pytorch.\",4.0,19,True,2021-08-21 17:29:10.000000,1.1.0,76.0,performer-pytorch,,,,['pytorch'],27.0,27.0,https://pypi.org/project/performer-pytorch,2021-08-21 17:29:10.000000,0.0,1265.0,1265.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n693,Test Tube,williamFalcon/test-tube,,hyperopt,https://github.com/williamFalcon/test-tube,https://github.com/williamFalcon/test-tube,MIT,2017-09-06 02:14:57.000000,2021-01-17 20:04:39.000000,2020-03-17 22:44:47.000000,64,25.0,21.0,694.0,642.0,Python library to easily log experiments and parallelize hyperparameter search for neural networks.,16.0,19,False,2019-12-01 01:19:36.000000,0.7.5,53.0,test_tube,,,,,5.0,,https://pypi.org/project/test_tube,2018-12-12 22:45:59.000000,5.0,10856.0,10856.0,,,,,,,,3.0,10.0,,,,,,,,,,,,,,,,,,,,\n694,matrixprofile-ts,target/matrixprofile-ts,,time-series-data,https://github.com/target/matrixprofile-ts,https://github.com/target/matrixprofile-ts,Apache-2.0,2018-09-10 19:03:34.000000,2020-04-25 18:38:20.000000,2020-04-25 18:37:42.000000,93,19.0,34.0,651.0,198.0,A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile.,15.0,19,False,2019-08-08 01:24:38.000000,0.0.9,9.0,matrixprofile-ts,,,,,17.0,17.0,https://pypi.org/project/matrixprofile-ts,2019-08-08 01:24:38.000000,,1176.0,1176.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n695,finetune,IndicoDataSolutions/finetune,,nlp,https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16.000000,2021-08-17 13:46:26.000000,2021-08-17 13:46:23.000000,69,21.0,115.0,648.0,1201.0,Scikit-learn style model finetuning for NLP.,19.0,19,True,2020-01-10 22:42:24.000000,0.8.6,37.0,finetune,,,,\"['tensorflow', 'sklearn']\",11.0,9.0,https://pypi.org/project/finetune,2020-01-10 22:42:24.000000,2.0,140.0,140.0,,,,,,,,3.0,,,,,,,,-1.0,,,,,,,,,,,,,\n696,vecstack,vecxoz/vecstack,,others,https://github.com/vecxoz/vecstack,https://github.com/vecxoz/vecstack,MIT,2016-11-08 13:23:21.000000,2020-09-14 08:31:07.000000,2019-10-30 09:27:48.000000,74,,37.0,629.0,189.0,Python package for stacking (machine learning technique).,1.0,19,False,2019-08-12 16:09:01.000000,0.4.0,6.0,vecstack,,,,,154.0,146.0,https://pypi.org/project/vecstack,2019-08-12 16:01:22.000000,8.0,1759.0,1759.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n697,Torchbearer,pytorchbearer/torchbearer,,ml-frameworks,https://github.com/pytorchbearer/torchbearer,https://github.com/pytorchbearer/torchbearer,MIT,2018-03-12 16:30:42.000000,2021-03-26 19:56:57.000000,2021-03-26 19:56:57.000000,68,8.0,237.0,609.0,430.0,torchbearer: A model fitting library for PyTorch.,13.0,19,True,2020-01-31 14:07:22.000000,0.5.3,24.0,torchbearer,,,,['pytorch'],59.0,53.0,https://pypi.org/project/torchbearer,2020-01-31 14:05:56.000000,6.0,855.0,855.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n698,Dragonfly,dragonfly/dragonfly,,hyperopt,https://github.com/dragonfly/dragonfly,https://github.com/dragonfly/dragonfly,MIT,2018-04-20 22:19:50.000000,2021-07-31 04:54:26.000000,2020-07-03 18:01:17.000000,81,27.0,17.0,592.0,397.0,An open source python library for scalable Bayesian optimisation.,12.0,19,False,2020-07-03 18:05:12.000000,0.1.6,9.0,dragonfly-opt,,,,,2.0,,https://pypi.org/project/dragonfly-opt,2020-07-03 18:05:12.000000,2.0,32962.0,32962.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n699,iterative-stratification,trent-b/iterative-stratification,,sklearn-utils,https://github.com/trent-b/iterative-stratification,https://github.com/trent-b/iterative-stratification,BSD-3-Clause,2018-02-04 00:32:10.000000,2020-09-12 15:32:44.000000,2020-09-12 15:35:02.000000,52,3.0,11.0,580.0,47.0,scikit-learn cross validators for iterative stratification of multilabel data.,4.0,19,True,2018-08-12 18:28:50.000000,0.1.6,5.0,iterative-stratification,,,,['sklearn'],174.0,160.0,https://pypi.org/project/iterative-stratification,2018-08-12 18:28:50.000000,14.0,6909.0,6909.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n700,robustness,MadryLab/robustness,,adversarial,https://github.com/MadryLab/robustness,https://github.com/MadryLab/robustness,MIT,2019-08-21 09:26:33.000000,2021-07-24 21:43:43.000000,2021-03-04 15:19:19.000000,110,9.0,53.0,576.0,139.0,\"A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.\",12.0,19,True,2020-12-01 06:11:12.000000,1.2.1.post2,10.0,robustness,,,,,61.0,59.0,https://pypi.org/project/robustness,2020-12-01 06:21:33.000000,2.0,1430.0,1430.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n701,What-If Tool,PAIR-code/what-if-tool,,interpretability,https://github.com/PAIR-code/what-if-tool,https://github.com/PAIR-code/what-if-tool,Apache-2.0,2018-09-07 20:26:10.000000,2021-08-11 19:34:07.000000,2021-03-17 12:46:20.000000,110,40.0,42.0,567.0,319.0,Source code/webpage/demos for the What-If Tool.,19.0,19,True,2021-01-19 14:40:37.214000,1.8.0,38.0,witwidget,,,,,0.0,,https://pypi.org/project/witwidget,2021-01-19 14:40:21.000000,0.0,9701.0,12061.0,,,,,,,,3.0,,,wit-widget,https://www.npmjs.com/package/wit-widget,2021-01-19 14:40:37.214000,,2360.0,,,,,,,,,,,,,,\n702,deeplift,kundajelab/deeplift,,interpretability,https://github.com/kundajelab/deeplift,https://github.com/kundajelab/deeplift,MIT,2016-06-01 02:18:06.000000,2020-11-11 19:56:24.000000,2020-11-11 19:56:23.000000,128,29.0,47.0,557.0,551.0,Public facing deeplift repo.,11.0,19,True,2018-07-13 21:11:52.000000,0.6.6,21.0,deeplift,,,,,53.0,49.0,https://pypi.org/project/deeplift,2020-11-11 09:32:57.000000,4.0,588.0,588.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n703,Caer,jasmcaus/caer,,image,https://github.com/jasmcaus/caer,https://github.com/jasmcaus/caer,MIT,2020-08-06 18:36:14.000000,2021-08-19 15:04:55.000000,2021-08-19 15:04:55.000000,83,3.0,10.0,530.0,4998.0,\"A lightweight Computer Vision library. Scale your models, not boilerplate.\",6.0,19,True,2021-01-28 14:06:10.000000,1.9.8,109.0,caer,,,https://caer.rtfd.io,,0.0,,https://pypi.org/project/caer,2021-01-28 14:06:10.000000,0.0,4296.0,4297.0,,,,,,,,3.0,19.0,,,,,,,,,,,,,,,,,,,,\n704,PyKEEN,pykeen/pykeen,,graph,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000000,2021-08-25 13:23:21.000000,2021-08-20 15:15:23.000000,76,88.0,168.0,508.0,2438.0,A Python library for learning and evaluating knowledge graph embeddings.,19.0,19,True,2021-06-13 21:50:49.000000,1.5.0,36.0,pykeen,,,,,2.0,,https://pypi.org/project/pykeen,2021-06-13 21:46:17.000000,2.0,688.0,694.0,,,,,,,,3.0,92.0,,,,,,,,,,,,,,,,,,,,\n705,N2,kakao/n2,,nn-search,https://github.com/kakao/n2,https://github.com/kakao/n2,Apache-2.0,2017-11-23 02:27:59.000000,2021-05-20 05:41:36.000000,2021-05-20 05:39:44.000000,52,17.0,22.0,483.0,242.0,TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets.,18.0,19,True,2020-10-16 03:43:47.000000,0.1.7,9.0,n2,,,,,21.0,17.0,https://pypi.org/project/n2,2020-10-16 03:10:01.000000,4.0,1772.0,1772.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n706,kale,kubeflow-kale/kale,,data-pipelines,https://github.com/kubeflow-kale/kale,https://github.com/kubeflow-kale/kale,Apache-2.0,2019-01-24 17:58:44.000000,2021-08-25 16:12:30.000000,2021-05-19 12:47:47.000000,75,83.0,61.0,418.0,641.0,Kubeflows superfood for Data Scientists.,10.0,19,True,2021-05-19 12:56:53.000000,0.7.0,15.0,kubeflow-kale,,,,['jupyter'],,,https://pypi.org/project/kubeflow-kale,2021-05-19 12:56:53.000000,,1679.0,1679.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n707,MXBoard,awslabs/mxboard,,ml-experiments,https://github.com/awslabs/mxboard,https://github.com/awslabs/mxboard,Apache-2.0,2018-02-06 23:03:51.000000,2020-01-24 23:21:56.000000,2020-01-24 23:21:55.000000,46,16.0,15.0,332.0,42.0,Logging MXNet data for visualization in TensorBoard.,9.0,19,False,2018-05-22 20:25:51.000000,0.1.0,12.0,mxboard,,,,['mxnet'],129.0,117.0,https://pypi.org/project/mxboard,2018-05-22 20:25:51.000000,12.0,2508.0,2508.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n708,apricot,jmschrei/apricot,,others,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12.000000,2021-08-12 17:18:16.000000,2021-08-12 17:18:16.000000,32,3.0,17.0,328.0,169.0,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,3.0,19,True,2020-09-28 07:19:15.000000,0.6.0,13.0,apricot-select,,,,,20.0,20.0,https://pypi.org/project/apricot-select,2020-09-28 07:19:15.000000,0.0,548.0,548.0,,,,,,,,3.0,9.0,,,,,,,,,,,,,,,,,,,,\n709,rrcf,kLabUM/rrcf,,others,https://github.com/kLabUM/rrcf,https://github.com/kLabUM/rrcf,MIT,2018-10-20 05:39:05.000000,2021-01-13 23:05:23.000000,2020-06-10 01:07:39.000000,78,22.0,17.0,325.0,253.0,Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams.,4.0,19,False,2020-06-10 01:53:55.000000,0.4.3,7.0,rrcf,,,,,19.0,19.0,https://pypi.org/project/rrcf,2020-06-10 01:53:55.000000,0.0,7738.0,7738.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n710,Auto TS,AutoViML/Auto_TS,,time-series-data,https://github.com/AutoViML/Auto_TS,https://github.com/AutoViML/Auto_TS,Apache-2.0,2020-02-15 15:23:32.000000,2021-06-29 13:49:39.000000,2021-06-29 13:48:07.000000,55,8.0,41.0,279.0,235.0,\"Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of..\",6.0,19,False,2021-06-29 13:49:39.000000,0.0.37,16.0,auto-ts,,,,,,,https://pypi.org/project/auto-ts,2021-06-29 13:49:39.000000,,1111.0,1111.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n711,pandas-ml,pandas-ml/pandas-ml,,others,https://github.com/pandas-ml/pandas-ml,https://github.com/pandas-ml/pandas-ml,BSD-3-Clause,2015-02-21 03:14:04.000000,2020-08-14 12:29:33.000000,2019-03-05 01:36:55.000000,60,24.0,17.0,275.0,153.0,\"pandas, scikit-learn, xgboost and seaborn integration.\",4.0,19,False,2019-03-05 01:36:12.000000,0.6.1,9.0,pandas-ml,,,,\"['sklearn', 'pandas']\",10.0,,https://pypi.org/project/pandas-ml,2019-03-05 01:35:23.000000,10.0,3058.0,3058.0,,,,,,,,3.0,5.0,,,,,,,,,,,,,,,,,,,,\n712,quinn,MrPowers/quinn,,ml-experiments,https://github.com/MrPowers/quinn,https://github.com/MrPowers/quinn,Apache-2.0,2017-09-15 13:02:42.000000,2021-03-27 14:31:44.000000,2021-02-09 04:48:07.000000,31,17.0,9.0,272.0,110.0,pyspark methods to enhance developer productivity.,6.0,19,False,2021-02-06 15:21:04.000000,0.9.0,12.0,quinn,,,,['spark'],6.0,,https://pypi.org/project/quinn,2021-02-06 15:21:04.000000,6.0,398174.0,398174.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n713,sk-dist,Ibotta/sk-dist,,distributed-ml,https://github.com/Ibotta/sk-dist,https://github.com/Ibotta/sk-dist,Apache-2.0,2019-08-14 21:07:17.000000,2021-07-07 00:44:10.000000,2021-07-07 00:44:07.000000,47,7.0,10.0,268.0,58.0,Distributed scikit-learn meta-estimators in PySpark.,7.0,19,False,2020-05-14 22:20:14.000000,0.1.9,12.0,sk-dist,,,,\"['sklearn', 'spark']\",9.0,7.0,https://pypi.org/project/sk-dist,2020-05-14 22:20:14.000000,2.0,10179.0,10179.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n714,responsible-ai-widgets,microsoft/responsible-ai-widgets,,interpretability,https://github.com/microsoft/responsible-ai-widgets,https://github.com/microsoft/responsible-ai-widgets,MIT,2020-07-06 20:46:53.000000,2021-08-26 05:06:39.000000,2021-08-26 05:06:38.000000,64,90.0,109.0,250.0,,\"This project provides responsible AI user interfaces for Fairlearn, interpret-community, and Error Analysis, as well..\",17.0,19,False,2021-08-18 22:27:26.000000,0.9.4,22.0,raiwidgets,,,,\"['pytorch', 'tensorflow', 'jupyter']\",15.0,15.0,https://pypi.org/project/raiwidgets,2021-08-18 22:27:26.000000,0.0,3549.0,3549.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n715,Brainiak,brainiak/brainiak,,medical-data,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27.000000,2021-05-28 01:21:58.000000,2021-05-28 01:21:58.000000,113,68.0,120.0,249.0,393.0,Brain Imaging Analysis Kit.,33.0,19,False,2019-08-27 23:52:29.000000,0.9.1,15.0,brainiak,,brainiak/brainiak,,,14.0,13.0,https://pypi.org/project/brainiak,2020-10-15 20:45:08.000000,1.0,147.0,156.0,,,,https://hub.docker.com/r/brainiak/brainiak,2020-10-15 21:11:03.379549,1.0,625.0,3.0,,,,,,,,,,,,,,,,,,,,,\n716,somoclu,peterwittek/somoclu,,distributed-ml,https://github.com/peterwittek/somoclu,https://github.com/peterwittek/somoclu,MIT,2013-01-16 06:33:16.000000,2021-06-14 00:58:58.000000,2021-06-14 00:58:58.000000,59,27.0,105.0,227.0,618.0,\"Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters.\",19.0,19,False,2018-03-03 02:44:37.000000,1.7.5,17.0,somoclu,conda-forge/somoclu,,,,4.0,,https://pypi.org/project/somoclu,2020-04-25 05:33:32.000000,4.0,1764.0,2895.0,https://anaconda.org/conda-forge/somoclu,2020-10-13 18:39:07.609000,53380.0,,,,,3.0,1520.0,,,,,,,,,,,,,,,,,,,,\n717,fairness-indicators,tensorflow/fairness-indicators,,interpretability,https://github.com/tensorflow/fairness-indicators,https://github.com/tensorflow/fairness-indicators,Apache-2.0,2019-09-30 22:56:45.000000,2021-08-12 18:47:49.000000,2021-08-12 18:47:44.000000,61,12.0,7.0,217.0,269.0,Tensorflow's Fairness Evaluation and Visualization Toolkit.,22.0,19,False,2021-08-09 17:42:04.000000,0.33.0,19.0,fairness-indicators,,,,\"['tensorflow', 'jupyter']\",,,https://pypi.org/project/fairness-indicators,2021-08-09 17:42:04.000000,,840.0,840.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n718,fletcher,xhochy/fletcher,,data-containers,https://github.com/xhochy/fletcher,https://github.com/xhochy/fletcher,MIT,2018-03-04 16:44:22.000000,2021-02-18 14:46:18.000000,2021-02-18 14:46:18.000000,33,34.0,40.0,214.0,520.0,Pandas ExtensionDType/Array backed by Apache Arrow.,24.0,19,False,2021-01-17 20:11:01.000000,0.7.2,16.0,fletcher,conda-forge/fletcher,,,['pandas'],3.0,3.0,https://pypi.org/project/fletcher,2021-01-17 20:11:01.000000,0.0,345.0,1132.0,https://anaconda.org/conda-forge/fletcher,2021-01-17 21:23:17.140000,29138.0,,,,,3.0,13.0,,,,,,,,,,,,,,,,,,,,\n719,pymap3d,geospace-code/pymap3d,,geospatial-data,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03.000000,2021-07-16 00:00:10.000000,2021-06-09 19:39:08.000000,59,3.0,24.0,207.0,,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,10.0,19,False,2021-05-25 21:45:42.000000,2.7.0,49.0,pymap3d,conda-forge/pymap3d,,,,6.0,,https://pypi.org/project/pymap3d,2021-05-25 21:45:42.000000,6.0,42346.0,43079.0,https://anaconda.org/conda-forge/pymap3d,2021-05-26 06:22:15.584000,12471.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n720,gokart,m3dev/gokart,,ml-experiments,https://github.com/m3dev/gokart,https://github.com/m3dev/gokart,MIT,2018-12-23 07:40:27.000000,2021-08-24 14:26:09.000000,2021-08-22 08:37:26.000000,34,13.0,40.0,205.0,432.0,\"Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning..\",27.0,19,False,2021-08-10 01:14:38.000000,1.0.2,57.0,gokart,,,,,2.0,,https://pypi.org/project/gokart,2020-02-25 06:01:19.000000,2.0,610.0,610.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n721,BatchFlow,analysiscenter/batchflow,,data-pipelines,https://github.com/analysiscenter/batchflow,https://github.com/analysiscenter/batchflow,Apache-2.0,2017-03-13 14:22:53.000000,2021-08-26 11:03:57.000000,2021-08-26 10:57:43.000000,38,40.0,67.0,163.0,4781.0,BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and..,30.0,19,False,2021-06-10 10:54:52.000000,0.5.0,7.0,batchflow,,,,,,,https://pypi.org/project/batchflow,2021-06-10 10:54:52.000000,,44.0,44.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n722,textaugment,dsfsi/textaugment,,nlp,https://github.com/dsfsi/textaugment,https://github.com/dsfsi/textaugment,MIT,2019-05-06 12:28:19.000000,2021-06-28 17:34:26.000000,2021-06-28 17:34:05.000000,27,10.0,10.0,163.0,54.0,TextAugment: Text Augmentation Library.,4.0,19,False,2020-11-05 15:04:26.000000,1.3.4,8.0,textaugment,,,,,10.0,10.0,https://pypi.org/project/textaugment,2020-11-05 15:02:11.000000,,2825.0,2827.0,,,,,,,,3.0,53.0,,,,,,,,,,,,,,,,,,,,\n723,flupy,olirice/flupy,,data-pipelines,https://github.com/olirice/flupy,https://github.com/olirice/flupy,MIT,2018-01-06 16:46:04.000000,2021-05-26 18:54:20.000000,2021-05-26 18:54:08.000000,9,,7.0,160.0,180.0,Fluent data pipelines for python and your shell.,4.0,19,False,2021-05-26 18:53:55.000000,1.1.7,35.0,flupy,,,,,0.0,,https://pypi.org/project/flupy,2021-05-26 18:53:55.000000,0.0,73024.0,73024.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n724,graph-nets,deepmind/graph_nets,,graph,https://github.com/deepmind/graph_nets,https://github.com/deepmind/graph_nets,Apache-2.0,2018-08-31 08:19:28.000000,2020-12-04 17:43:48.000000,2020-12-04 17:43:47.000000,749,7.0,116.0,4959.0,47.0,Build Graph Nets in Tensorflow.,10.0,18,True,2020-01-29 16:00:25.000000,1.1.0,7.0,graph-nets,,,,['tensorflow'],7.0,,https://pypi.org/project/graph-nets,2020-01-29 16:00:25.000000,7.0,791.0,791.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n725,LIT,PAIR-code/lit,,interpretability,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000000,2021-08-25 16:59:50.000000,2021-04-05 17:58:30.000000,263,65.0,44.0,2631.0,,The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and..,14.0,18,True,2021-04-05 19:14:45.000000,0.3,5.0,lit-nlp,,,,,6.0,6.0,https://pypi.org/project/lit-nlp,2021-04-05 19:12:37.000000,,331.0,331.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n726,opyrator,ml-tooling/opyrator,,others,https://github.com/ml-tooling/opyrator,https://github.com/ml-tooling/opyrator,MIT,2021-04-06 08:09:06.000000,2021-08-23 21:21:52.000000,2021-05-06 12:10:38.000000,103,14.0,13.0,2380.0,,\"Turns your machine learning code into microservices with web API, interactive GUI, and more.\",4.0,18,True,2021-05-04 18:48:03.000000,0.0.12,11.0,opyrator,,,,,24.0,24.0,https://pypi.org/project/opyrator,2021-05-04 18:48:03.000000,,529.0,529.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n727,cuML,rapidsai/cuml,,gpu-utilities,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000000,2021-08-26 08:10:49.000000,2021-08-25 18:10:17.000000,347,629.0,1230.0,2322.0,,cuML - RAPIDS Machine Learning Library.,134.0,18,True,2021-08-06 20:27:37.000000,21.08.01,13.0,cuml,,,,,0.0,,https://pypi.org/project/cuml,2020-06-01 20:09:10.000000,0.0,543.0,543.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n728,spark-deep-learning,databricks/spark-deep-learning,,data-pipelines,https://github.com/databricks/spark-deep-learning,https://github.com/databricks/spark-deep-learning,Apache-2.0,2017-05-31 17:30:28.000000,2021-08-19 02:08:33.000000,2021-08-19 02:08:33.000000,457,73.0,27.0,1871.0,136.0,Deep Learning Pipelines for Apache Spark.,16.0,18,True,2020-01-08 19:50:31.000000,1.6.0,9.0,,,,,['spark'],17.0,17.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n729,riko,nerevu/riko,,data-pipelines,https://github.com/nerevu/riko,https://github.com/nerevu/riko,MIT,2016-06-02 12:22:51.000000,2020-08-14 18:29:28.000000,2020-08-14 16:47:45.000000,72,22.0,8.0,1567.0,1257.0,A Python stream processing engine modeled after Yahoo! Pipes.,18.0,18,True,2020-08-14 18:29:28.000000,0.66.0,58.0,riko,,,,,1.0,,https://pypi.org/project/riko,2020-08-14 18:29:28.000000,1.0,412.0,412.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n730,greykite,linkedin/greykite,,time-series-data,https://github.com/linkedin/greykite,https://github.com/linkedin/greykite,BSD-2-Clause,2021-04-27 17:05:53.000000,2021-08-26 13:41:32.000000,2021-08-14 05:30:35.000000,53,11.0,30.0,1277.0,14.0,\"A flexible, intuitive and fast forecasting library.\",6.0,18,True,2021-07-01 19:41:38.000000,0.2.0,6.0,greykite,,,,,6.0,6.0,https://pypi.org/project/greykite,2021-07-01 19:41:38.000000,,8086.0,8086.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n731,AdvBox,advboxes/AdvBox,,adversarial,https://github.com/advboxes/AdvBox,https://github.com/advboxes/AdvBox,Apache-2.0,2018-08-08 08:55:41.000000,2021-08-25 15:17:38.000000,2021-05-03 22:51:52.000000,235,8.0,29.0,1140.0,375.0,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,19.0,18,True,2018-12-05 02:48:50.000000,0.4.1,2.0,advbox,,,,,,,https://pypi.org/project/advbox,2018-12-05 02:48:50.000000,,48.0,48.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n732,Optimus,hi-primus/optimus,,data-pipelines,https://github.com/hi-primus/optimus,https://github.com/hi-primus/optimus,Apache-2.0,2017-07-13 02:31:18.000000,2021-08-25 22:55:02.000000,2021-08-25 22:54:43.000000,198,43.0,173.0,1043.0,,\"Agile Data Preparation Workflows madeeasy with Pandas, Dask, cuDF, Dask-cuDF and PySpark.\",25.0,18,True,2020-07-19 03:05:40.000000,2.2.32,85.0,optimuspyspark,,,,['spark'],,,https://pypi.org/project/optimuspyspark,2019-05-30 02:22:54.000000,,8010.0,8010.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n733,CrypTen,facebookresearch/CrypTen,,privacy-ml,https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000000,2021-08-19 21:17:11.000000,2021-08-12 16:52:36.000000,131,27.0,66.0,879.0,289.0,A framework for Privacy Preserving Machine Learning.,24.0,18,True,2020-04-21 13:59:37.000000,0.1,1.0,crypten,,,,['pytorch'],11.0,11.0,https://pypi.org/project/crypten,2020-02-05 18:53:03.000000,,178.0,178.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n734,iNNvestigate,albermax/innvestigate,,interpretability,https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20.000000,2021-08-03 15:45:16.000000,2021-08-03 15:45:16.000000,188,71.0,158.0,878.0,943.0,A toolbox to iNNvestigate neural networks' predictions!.,19.0,18,True,2020-11-14 11:35:59.000000,1.0.9,2.0,innvestigate,,,,['tensorflow'],1.0,,https://pypi.org/project/innvestigate,2020-11-14 11:35:59.000000,1.0,392.0,392.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n735,Hivemind,learning-at-home/hivemind,,distributed-ml,https://github.com/learning-at-home/hivemind,https://github.com/learning-at-home/hivemind,MIT,2020-02-27 13:50:19.000000,2021-08-26 13:20:03.000000,2021-08-26 08:51:32.000000,44,40.0,59.0,769.0,420.0,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,17.0,18,True,2021-08-26 08:46:51.000000,0.10.0,14.0,hivemind,,,,,4.0,3.0,https://pypi.org/project/hivemind,2021-08-26 08:49:41.000000,1.0,133.0,133.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n736,ADTK,arundo/adtk,,time-series-data,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22.000000,2021-07-18 06:52:12.000000,2020-04-17 02:27:44.000000,89,26.0,34.0,718.0,78.0,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,11.0,18,False,2020-04-17 02:18:00.000000,0.6.2,13.0,adtk,,,,,,,https://pypi.org/project/adtk,2020-04-17 02:18:00.000000,,59335.0,59335.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n737,XAI,EthicalML/xai,,interpretability,https://github.com/EthicalML/xai,https://github.com/EthicalML/xai,MIT,2019-01-11 20:00:09.000000,2021-07-20 20:24:37.000000,2021-04-23 07:08:20.000000,104,4.0,3.0,682.0,87.0,XAI - An eXplainability toolbox for machine learning.,3.0,18,True,2019-04-21 14:53:12.000000,0.0.5,5.0,xai,,,,,17.0,11.0,https://pypi.org/project/xai,2019-04-21 14:53:12.000000,6.0,369.0,369.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n738,bambi,bambinos/bambi,,probabilistics,https://github.com/bambinos/bambi,https://github.com/bambinos/bambi,MIT,2016-05-16 03:21:00.000000,2021-08-24 17:33:22.000000,2021-08-24 16:33:48.000000,61,25.0,168.0,664.0,,BAyesian Model-Building Interface (Bambi) in Python.,20.0,18,True,2021-08-24 17:29:49.000000,0.6.1,15.0,bambi,,,,,16.0,13.0,https://pypi.org/project/bambi,2021-08-24 17:29:49.000000,3.0,693.0,693.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n739,baikal,alegonz/baikal,,others,https://github.com/alegonz/baikal,https://github.com/alegonz/baikal,BSD-3-Clause,2019-01-21 12:59:02.000000,2021-04-18 08:09:10.000000,2021-04-11 07:50:00.000000,29,6.0,14.0,580.0,405.0,A graph-based functional API for building complex scikit-learn pipelines.,2.0,18,True,2020-11-15 13:40:18.000000,0.4.2,7.0,baikal,conda-forge/cython-blis,,,,3.0,3.0,https://pypi.org/project/baikal,2020-11-15 13:40:18.000000,0.0,733.0,34842.0,https://anaconda.org/conda-forge/cython-blis,2021-01-31 09:13:47.685000,989162.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n740,nboost,koursaros-ai/nboost,,nlp,https://github.com/koursaros-ai/nboost,https://github.com/koursaros-ai/nboost,Apache-2.0,2019-10-29 20:56:24.000000,2020-09-30 14:51:16.000000,2020-07-16 19:48:25.000000,64,28.0,50.0,580.0,1336.0,\"NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search..\",10.0,18,False,2020-06-12 20:05:15.000000,0.3.9,26.0,nboost,,,,,3.0,3.0,https://pypi.org/project/nboost,2020-06-12 20:05:15.000000,,179.0,179.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n741,TF Compression,tensorflow/compression,,tensorflow-utils,https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19.000000,2021-06-12 08:59:39.000000,2021-06-12 08:54:12.000000,181,,68.0,519.0,173.0,Data compression in TensorFlow.,10.0,18,True,2021-05-14 00:38:32.000000,2.2,11.0,tensorflow-compression,,,,['tensorflow'],1.0,,https://pypi.org/project/tensorflow-compression,2021-05-14 00:25:53.000000,1.0,937.0,937.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n742,tcav,tensorflow/tcav,,interpretability,https://github.com/tensorflow/tcav,https://github.com/tensorflow/tcav,Apache-2.0,2018-07-03 17:45:35.000000,2021-08-25 14:43:05.000000,2021-08-07 23:04:15.000000,112,2.0,52.0,480.0,168.0,Code for the TCAV ML interpretability project.,19.0,18,True,2021-02-23 16:17:42.000000,0.2.2,4.0,tcav,,,,['tensorflow'],11.0,9.0,https://pypi.org/project/tcav,2021-02-23 16:17:42.000000,2.0,88.0,88.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n743,Baal,ElementAI/baal,,probabilistics,https://github.com/ElementAI/baal,https://github.com/ElementAI/baal,Apache-2.0,2019-09-30 20:16:26.000000,2021-08-23 20:40:16.000000,2021-08-16 13:30:28.000000,35,12.0,37.0,385.0,122.0,Library to enable Bayesian active learning in your research or labeling work.,10.0,18,True,2021-08-06 14:40:02.000000,1.3.2,10.0,baal,,,,,9.0,9.0,https://pypi.org/project/baal,2021-08-06 14:40:02.000000,,287.0,287.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n744,animatplot,t-makaro/animatplot,,data-viz,https://github.com/t-makaro/animatplot,https://github.com/t-makaro/animatplot,MIT,2017-04-03 00:54:04.000000,2021-04-07 10:46:25.000000,2020-10-05 06:14:18.000000,34,17.0,16.0,378.0,178.0,A python package for animating plots build on matplotlib.,7.0,18,True,2020-10-05 06:20:52.000000,0.4.2,10.0,animatplot,conda-forge/animatplot,,,,27.0,25.0,https://pypi.org/project/animatplot,2020-10-05 06:20:52.000000,2.0,335.0,550.0,https://anaconda.org/conda-forge/animatplot,2020-10-06 02:02:00.460000,6467.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n745,BioPandas,rasbt/biopandas,,others,https://github.com/rasbt/biopandas,https://github.com/rasbt/biopandas,BSD-3-Clause,2015-11-21 00:00:14.000000,2021-07-30 14:48:13.000000,2021-07-30 14:48:13.000000,85,16.0,22.0,366.0,,Working with molecular structures in pandas DataFrames.,8.0,18,True,2021-03-03 00:55:13.000000,0.2.8,12.0,biopandas,conda-forge/biopandas,,,['pandas'],6.0,,https://pypi.org/project/biopandas,2021-03-03 00:55:13.000000,6.0,936.0,2436.0,https://anaconda.org/conda-forge/biopandas,2020-08-08 06:33:59.197000,84004.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n746,tick,X-DataInitiative/tick,,time-series-data,https://github.com/X-DataInitiative/tick,https://github.com/X-DataInitiative/tick,BSD-3-Clause,2016-12-01 10:59:08.000000,2020-08-11 12:36:43.000000,2020-06-15 12:01:36.000000,80,55.0,161.0,355.0,413.0,\"Module for statistical learning, with a particular emphasis on time-dependent modelling.\",16.0,18,False,2019-09-11 11:25:15.000000,0.6,23.0,tick,,,,,40.0,39.0,https://pypi.org/project/tick,2020-05-24 22:01:17.000000,1.0,1528.0,1531.0,,,,,,,,3.0,188.0,,,,,,,,,,,,,,,,,,,,\n747,Camphr,PKSHATechnology-Research/camphr,,nlp,https://github.com/PKSHATechnology-Research/camphr,https://github.com/PKSHATechnology-Research/camphr,Apache-2.0,2020-02-10 03:39:58.000000,2021-08-18 06:06:52.000000,2021-08-18 06:06:51.000000,17,2.0,25.0,341.0,1404.0,Camphr - NLP libary for creating pipeline components.,7.0,18,True,2021-07-28 07:48:46.000000,0.10.0,48.0,camphr,,,,['spacy'],0.0,,https://pypi.org/project/camphr,2021-07-28 07:48:46.000000,0.0,508.0,508.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n748,datmo,datmo/datmo,,ml-experiments,https://github.com/datmo/datmo,https://github.com/datmo/datmo,MIT,2017-11-03 05:46:43.000000,2021-06-01 22:48:33.000000,2019-11-29 00:48:44.000000,27,42.0,149.0,336.0,1051.0,Open source production model management tool for data scientists.,6.0,18,False,2018-12-07 06:16:42.000000,0.0.40,41.0,datmo,,,,,5.0,5.0,https://pypi.org/project/datmo,2018-12-07 06:16:42.000000,,182.0,182.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n749,Sherpa,sherpa-ai/sherpa,,hyperopt,https://github.com/sherpa-ai/sherpa,https://github.com/sherpa-ai/sherpa,GPL-3.0,2018-05-16 21:41:54.000000,2020-10-18 07:57:50.000000,2020-10-18 07:57:48.000000,45,13.0,41.0,298.0,823.0,\"Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.\",43.0,18,False,2020-07-31 05:29:09.000000,1.0.7,8.0,parameter-sherpa,,,,,15.0,13.0,https://pypi.org/project/parameter-sherpa,2019-11-23 21:32:27.000000,2.0,570.0,570.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n750,textpipe,textpipe/textpipe,,nlp,https://github.com/textpipe/textpipe,https://github.com/textpipe/textpipe,MIT,2018-06-21 16:23:32.000000,2021-06-09 11:55:53.000000,2021-06-09 11:55:53.000000,22,24.0,25.0,293.0,371.0,Textpipe: clean and extract metadata from text.,28.0,18,False,2021-01-25 14:05:21.000000,0.12.2,39.0,textpipe,,,,,1.0,,https://pypi.org/project/textpipe,2021-01-25 14:05:21.000000,1.0,988.0,988.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n751,recmetrics,statisticianinstilettos/recmetrics,,recommender-systems,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49.000000,2020-12-03 21:21:02.000000,2020-12-03 21:21:00.000000,67,5.0,7.0,286.0,233.0,A library of metrics for evaluating recommender systems.,12.0,18,False,2019-03-05 04:11:15.000000,0.0.12,14.0,recmetrics,,,,,20.0,20.0,https://pypi.org/project/recmetrics,2019-03-05 04:11:15.000000,,520.0,520.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n752,model-card-toolkit,tensorflow/model-card-toolkit,,interpretability,https://github.com/tensorflow/model-card-toolkit,https://github.com/tensorflow/model-card-toolkit,Apache-2.0,2020-07-24 16:48:58.000000,2021-08-19 17:31:57.000000,2021-08-19 17:31:50.000000,30,14.0,2.0,209.0,135.0,a tool that leverages rich metadata and lineage information in MLMD to build a model card.,11.0,18,False,2021-08-03 00:08:17.000000,1.0.0,5.0,model-card-toolkit,,,,,4.0,4.0,https://pypi.org/project/model-card-toolkit,2021-08-03 00:04:03.000000,,299.0,299.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n753,Muda,bmcfee/muda,,audio,https://github.com/bmcfee/muda,https://github.com/bmcfee/muda,ISC,2014-11-07 21:21:22.000000,2021-05-03 14:04:37.000000,2021-05-03 14:04:36.000000,34,5.0,44.0,193.0,293.0,A library for augmenting annotated audio data.,7.0,18,False,2019-11-15 15:46:21.000000,0.4.1,11.0,muda,,,,,13.0,12.0,https://pypi.org/project/muda,2019-11-15 15:46:21.000000,1.0,343.0,343.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n754,pyRDF2Vec,IBCNServices/pyRDF2Vec,,graph,https://github.com/IBCNServices/pyRDF2Vec,https://github.com/IBCNServices/pyRDF2Vec,MIT,2019-06-13 11:36:12.000000,2021-07-05 07:13:02.000000,2021-07-05 07:12:54.000000,21,3.0,39.0,129.0,1136.0,Python Implementation and Extension of RDF2Vec.,5.0,18,False,2021-06-09 10:56:14.000000,0.2.3,11.0,pyrdf2vec,,,,,,,https://pypi.org/project/pyrdf2vec,2021-06-09 10:56:14.000000,,181.0,181.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n755,PySlowFast,facebookresearch/SlowFast,,image,https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26.000000,2021-08-25 00:42:45.000000,2021-08-25 00:42:43.000000,770,220.0,228.0,4089.0,158.0,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,24.0,17,True,,,,,,,,['pytorch'],4.0,4.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n756,DALI,NVIDIA/DALI,,gpu-utilities,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000000,2021-08-26 14:32:43.000000,2021-08-26 11:26:25.000000,417,171.0,874.0,3428.0,,A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to..,62.0,17,True,2021-08-23 09:28:43.000000,1.5.0,43.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n757,ReAgent,facebookresearch/ReAgent,,reinforcement-learning,https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000000,2021-08-25 09:34:42.000000,2021-08-25 09:34:19.000000,426,41.0,75.0,2997.0,1287.0,\"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).\",106.0,17,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n758,Spotlight,maciejkula/spotlight,,recommender-systems,https://github.com/maciejkula/spotlight,https://github.com/maciejkula/spotlight,MIT,2017-06-25 18:52:19.000000,2020-11-15 08:21:28.000000,2020-02-09 21:03:48.000000,378,67.0,48.0,2557.0,299.0,Deep recommender models using PyTorch.,11.0,17,False,2019-09-08 10:19:53.000000,0.1.6,7.0,,maciejkula/spotlight,,,['pytorch'],,,,,,,128.0,https://anaconda.org/maciejkula/spotlight,2018-05-27 18:32:12.235000,6417.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n759,Mara Pipelines,mara/mara-pipelines,,data-pipelines,https://github.com/mara/mara-pipelines,https://github.com/mara/mara-pipelines,MIT,2018-03-31 20:37:22.000000,2021-07-10 15:56:16.000000,2021-03-08 23:02:33.000000,83,11.0,12.0,1762.0,134.0,\"A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow.\",16.0,17,True,2021-01-23 22:34:03.000000,3.1.2,7.0,mara-pipelines,,,,,7.0,7.0,https://pypi.org/project/mara-pipelines,2021-01-23 22:34:03.000000,,80.0,80.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n760,keepsake,replicate/keepsake,,ml-experiments,https://github.com/replicate/keepsake,https://github.com/replicate/keepsake,Apache-2.0,2020-07-01 04:37:44.000000,2021-08-25 23:18:08.000000,2021-05-07 00:33:52.000000,57,123.0,64.0,1507.0,,Version control for machine learning.,16.0,17,True,2021-03-11 21:15:01.000000,0.4.2,7.0,keepsake,,,,,,,https://pypi.org/project/keepsake,2021-03-11 21:15:01.000000,,869.0,869.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n761,Lambda Networks,lucidrains/lambda-networks,,pytorch-utils,https://github.com/lucidrains/lambda-networks,https://github.com/lucidrains/lambda-networks,MIT,2020-10-08 19:01:15.000000,2020-11-18 19:54:34.000000,2020-11-18 19:54:30.000000,152,12.0,15.0,1483.0,,\"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.\",3.0,17,True,2020-11-18 08:19:23.000000,0.4.0,11.0,lambda-networks,,,,['pytorch'],3.0,3.0,https://pypi.org/project/lambda-networks,2020-11-18 08:19:23.000000,,215.0,215.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n762,aim,aimhubio/aim,,ml-experiments,https://github.com/aimhubio/aim,https://github.com/aimhubio/aim,Apache-2.0,2019-05-31 18:25:07.000000,2021-08-26 15:02:22.000000,2021-08-26 12:58:21.000000,83,102.0,92.0,1410.0,,\"Aim a super-easy way to record, search and compare 1000s of ML training runs.\",19.0,17,True,2019-11-06 08:06:11.000000,3.1.0,67.0,aim,,,,,2.0,,https://pypi.org/project/aim,2021-07-20 11:35:48.000000,2.0,2186.0,2186.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n763,Antialiased CNNs,adobe/antialiased-cnns,,pytorch-utils,https://github.com/adobe/antialiased-cnns,https://github.com/adobe/antialiased-cnns,CC BY-NC-SA 4.0,2019-05-14 20:51:25.000000,2021-03-01 18:01:57.000000,2020-10-22 19:40:07.000000,184,10.0,31.0,1406.0,238.0,pip install antialiased-cnns to improve stability and accuracy.,6.0,17,False,2020-10-23 22:45:52.000000,0.3,6.0,antialiased-cnns,,,,['pytorch'],2.0,2.0,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49.000000,,2102.0,2102.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n764,Advisor,tobegit3hub/advisor,,hyperopt,https://github.com/tobegit3hub/advisor,https://github.com/tobegit3hub/advisor,Apache-2.0,2017-09-14 03:50:33.000000,2019-11-11 07:09:57.869705,2019-11-11 06:59:31.000000,254,20.0,13.0,1392.0,165.0,Open-source implementation of Google Vizier for hyper parameters tuning.,11.0,17,False,2018-10-18 02:54:09.000000,0.1.6,4.0,advisor,,tobegit3hub/advisor,,,,,https://pypi.org/project/advisor,2018-10-18 02:54:09.000000,,59.0,93.0,,,,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1612.0,3.0,,,,,,,,,,,,,,,,,,,,,\n765,zenml,maiot-io/zenml,,data-pipelines,https://github.com/zenml-io/zenml,https://github.com/zenml-io/zenml,Apache-2.0,2020-11-19 09:25:46.000000,2021-08-26 09:21:16.000000,2021-08-23 14:08:03.000000,68,16.0,32.0,1262.0,,ZenML : MLOps framework to create reproducible ML pipelines for production machine learning.,13.0,17,True,2021-06-07 07:09:13.000000,0.3.8,34.0,zenml,,,,,1.0,1.0,https://pypi.org/project/zenml,2021-06-10 19:31:02.000000,,263.0,263.0,,,,,,,,3.0,,,,,,,,,,,,,zenml-io/zenml,,,,,,,,\n766,sklearn-porter,nok/sklearn-porter,,model-serialisation,https://github.com/nok/sklearn-porter,https://github.com/nok/sklearn-porter,MIT,2016-06-22 22:21:34.000000,2021-06-01 22:52:09.000000,2019-12-18 13:31:50.000000,138,42.0,29.0,1079.0,699.0,\"Transpile trained scikit-learn estimators to C, Java, JavaScript and others.\",11.0,17,False,2019-12-18 13:39:19.000000,0.7.4,20.0,sklearn-porter,,,,['sklearn'],1.0,,https://pypi.org/project/sklearn-porter,2019-12-18 13:39:19.000000,1.0,408.0,408.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n767,Bounter,RaRe-Technologies/bounter,,data-containers,https://github.com/RaRe-Technologies/bounter,https://github.com/RaRe-Technologies/bounter,MIT,2017-07-18 07:24:15.000000,2021-05-24 07:30:15.000000,2021-05-24 07:29:54.000000,48,12.0,9.0,923.0,156.0,Efficient Counter that uses a limited (bounded) amount of memory regardless of data size.,8.0,17,True,2020-08-17 06:37:51.000000,1.1.1,7.0,bounter,,,,,38.0,24.0,https://pypi.org/project/bounter,2020-08-17 06:37:51.000000,14.0,142.0,142.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n768,ecco,jalammar/ecco,,interpretability,https://github.com/jalammar/ecco,https://github.com/jalammar/ecco,BSD-3-Clause,2020-11-07 10:06:34.000000,2021-08-02 09:18:24.000000,2021-08-02 09:18:22.000000,52,11.0,9.0,871.0,,Visualize and explore NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks..,3.0,17,True,2021-08-02 08:50:55.000000,0.0.15,15.0,ecco,,,,['pytorch'],3.0,3.0,https://pypi.org/project/ecco,2021-08-02 08:50:55.000000,0.0,307.0,307.0,,,,,,,,3.0,2.0,,,,,,,,,,,,,,,,,,,,\n769,DIG,divelab/DIG,,graph,https://github.com/divelab/DIG,https://github.com/divelab/DIG,GPL-3.0,2020-10-30 03:51:15.000000,2021-08-20 16:15:37.000000,2021-08-20 16:15:37.000000,98,1.0,36.0,848.0,,A library for graph deep learning research.,27.0,17,False,2021-08-12 15:18:20.000000,0.1.1,10.0,dig,,,,,8.0,,https://pypi.org/project/dig,2015-08-23 10:30:20.000000,8.0,385.0,385.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n770,Tensor Sensor,parrt/tensor-sensor,,pytorch-utils,https://github.com/parrt/tensor-sensor,https://github.com/parrt/tensor-sensor,MIT,2020-08-28 22:54:04.000000,2021-05-26 23:19:21.000000,2021-05-26 23:19:17.000000,28,5.0,13.0,579.0,167.0,The goal of this library is to generate more helpful exception messages for numpy/pytorch matrix algebra expressions.,2.0,17,True,2021-05-26 23:15:44.000000,0.1.2,35.0,tensor-sensor,,,,['pytorch'],2.0,2.0,https://pypi.org/project/tensor-sensor,2021-05-26 23:15:44.000000,,3232.0,3232.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n771,avalanche,ContinualAI/avalanche,,others,https://github.com/ContinualAI/avalanche,https://github.com/ContinualAI/avalanche,MIT,2020-03-05 11:32:13.000000,2021-08-25 16:13:29.000000,2021-08-23 14:44:36.000000,84,61.0,329.0,569.0,2020.0,Avalanche: an End-to-End Library for Continual Learning.,38.0,17,True,2021-03-11 11:51:35.000000,0.0.1,1.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n772,Vulkan Kompute,EthicalML/vulkan-kompute,,gpu-utilities,https://github.com/KomputeProject/kompute,https://github.com/KomputeProject/kompute,Apache-2.0,2020-07-29 05:23:33.000000,2021-08-24 05:43:39.000000,2021-08-24 05:43:39.000000,38,54.0,96.0,471.0,899.0,\"General purpose GPU compute framework for cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast,..\",14.0,17,True,2021-03-14 16:03:43.000000,0.7.0,11.0,kp,,,,,2.0,2.0,https://pypi.org/project/kp,2021-03-14 15:37:22.000000,,123.0,129.0,,,,,,,,3.0,75.0,,,,,,,,,,,,KomputeProject/kompute,,,,,,,,\n773,pytorch_tabular,manujosephv/pytorch_tabular,,tabular,https://github.com/manujosephv/pytorch_tabular,https://github.com/manujosephv/pytorch_tabular,MIT,2020-12-15 07:17:03.000000,2021-08-06 02:24:47.000000,2021-08-06 02:24:47.000000,37,16.0,19.0,395.0,,A standard framework for modelling Deep Learning Models for tabular data.,3.0,17,True,2021-06-20 06:57:47.000000,0.6.0,7.0,pytorch_tabular,,,,['pytorch'],,,https://pypi.org/project/pytorch_tabular,2021-06-20 06:57:47.000000,,1126.0,1126.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n774,atspy,firmai/atspy,,time-series-data,https://github.com/firmai/atspy,https://github.com/firmai/atspy,MIT,2020-01-28 05:00:10.000000,2021-08-25 15:58:20.000000,2020-11-12 16:15:26.000000,74,18.0,2.0,371.0,97.0,AtsPy: Automated Time Series Models in Python (by @firmai).,5.0,17,True,2020-11-12 16:10:48.000000,zen,39.0,atspy,,,,,3.0,3.0,https://pypi.org/project/atspy,2020-04-24 18:16:15.000000,,1211.0,1211.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n775,Sematch,gsi-upm/sematch,,graph,https://github.com/gsi-upm/sematch,https://github.com/gsi-upm/sematch,Apache-2.0,2012-11-30 11:11:53.000000,2020-11-05 21:20:52.000000,2019-03-27 03:17:24.000000,100,14.0,19.0,362.0,122.0,semantic similarity framework for knowledge graph.,5.0,17,False,2017-04-17 10:56:52.000000,1.0.4,5.0,sematch,,,,,32.0,29.0,https://pypi.org/project/sematch,2017-04-17 10:56:52.000000,3.0,228.0,228.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n776,Case Recommender,caserec/CaseRecommender,,recommender-systems,https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39.000000,2021-06-17 10:47:07.000000,2021-06-17 10:47:07.000000,75,7.0,17.0,354.0,203.0,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems.,11.0,17,True,2019-08-20 13:48:43.000000,1.1.0,41.0,caserecommender,,,,['sklearn'],9.0,9.0,https://pypi.org/project/caserecommender,2019-08-20 13:48:43.000000,,139.0,139.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n777,bodywork-core,bodywork-ml/bodywork-core,,data-pipelines,https://github.com/bodywork-ml/bodywork-core,https://github.com/bodywork-ml/bodywork-core,AGPL-3.0,2020-11-17 11:38:17.000000,2021-08-25 16:22:17.000000,2021-07-05 08:09:48.000000,12,12.0,27.0,274.0,467.0,MLOps tool for deploying machine learning projects to Kubernetes.,4.0,17,False,2021-07-05 08:15:59.000000,2.1.7,45.0,bodywork,,,,,6.0,6.0,https://pypi.org/project/bodywork,2021-07-05 08:15:59.000000,,293.0,293.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n778,solt,MIPT-Oulu/solt,,image,https://github.com/MIPT-Oulu/solt,https://github.com/MIPT-Oulu/solt,MIT,2018-08-02 15:09:05.000000,2020-12-05 11:06:18.000000,2020-04-09 06:44:39.000000,19,17.0,30.0,252.0,336.0,Streaming over lightweight data transformations.,4.0,17,False,2020-03-10 14:09:31.000000,0.1.9,18.0,solt,,,,,26.0,23.0,https://pypi.org/project/solt,2020-03-10 14:09:31.000000,3.0,187.0,187.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n779,elegy,poets-ai/elegy,,ml-frameworks,https://github.com/poets-ai/elegy,https://github.com/poets-ai/elegy,Apache-2.0,2020-06-30 14:00:37.000000,2021-08-13 02:23:05.000000,2021-08-13 02:23:05.000000,14,23.0,39.0,249.0,307.0,Elegy is a framework-agnostic Trainer interface for the Jax ecosystem.,14.0,17,False,2021-06-01 15:54:50.000000,0.7.4,23.0,elegy,,,,\"['tensorflow', 'jax']\",,,https://pypi.org/project/elegy,2021-06-01 15:45:43.000000,,353.0,353.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n780,DeepGraph,deepgraph/deepgraph,,graph,https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45.000000,2021-07-26 14:36:30.155000,2021-06-14 10:58:10.000000,35,9.0,5.0,242.0,162.0,Analyze Data with Pandas-based Networks. Documentation:.,2.0,17,False,2020-10-01 13:20:38.000000,0.2.3,13.0,deepgraph,conda-forge/deepgraph,,,['pandas'],1.0,1.0,https://pypi.org/project/deepgraph,2020-10-01 13:18:38.000000,,413.0,2626.0,https://anaconda.org/conda-forge/deepgraph,2021-07-26 14:36:30.155000,106248.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n781,Julius,adefossez/julius,,audio,https://github.com/adefossez/julius,https://github.com/adefossez/julius,MIT,2020-10-26 10:54:21.000000,2021-07-28 09:20:01.000000,2021-07-28 09:18:16.000000,10,1.0,6.0,222.0,,Fast PyTorch based DSP for audio and 1D signals.,2.0,17,False,2021-07-28 09:19:47.000000,0.2.5,9.0,julius,,,,['pytorch'],28.0,28.0,https://pypi.org/project/julius,2021-07-28 09:19:47.000000,0.0,5294.0,5294.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n782,lkpy,lenskit/lkpy,,recommender-systems,https://github.com/lenskit/lkpy,https://github.com/lenskit/lkpy,MIT,2018-06-08 21:05:10.000000,2021-08-16 18:31:50.000000,2021-08-16 18:31:46.000000,49,26.0,60.0,179.0,,Python recommendation toolkit.,13.0,17,False,2021-06-22 17:06:47.000000,0.13.1,20.0,lenskit,conda-forge/lenskit,,,,0.0,,https://pypi.org/project/lenskit,2021-06-22 17:07:09.000000,0.0,1527.0,2187.0,https://anaconda.org/conda-forge/lenskit,2021-06-22 22:08:21.249000,5945.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n783,TorchDrift,torchdrift/torchdrift,,pytorch-utils,https://github.com/TorchDrift/TorchDrift,https://github.com/TorchDrift/TorchDrift,Apache-2.0,2021-02-10 09:27:48.000000,2021-06-29 11:52:29.000000,2021-06-29 11:52:29.000000,4,1.0,3.0,168.0,33.0,Drift Detection for your PyTorch Models.,2.0,17,False,2021-03-08 12:21:48.000000,0.1.0,3.0,torchdrift,,,,['pytorch'],12.0,12.0,https://pypi.org/project/torchdrift,2021-03-08 12:51:05.000000,,192.0,192.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n784,Larq Compute Engine,larq/compute-engine,,model-serialisation,https://github.com/larq/compute-engine,https://github.com/larq/compute-engine,Apache-2.0,2019-08-29 15:02:43.000000,2021-08-01 14:51:57.000000,2021-07-30 09:01:02.000000,24,22.0,101.0,163.0,,Highly optimized inference engine for Binarized Neural Networks.,16.0,17,False,2021-07-09 20:05:04.000000,0.6.1,14.0,larq-compute-engine,,,,,4.0,4.0,https://pypi.org/project/larq-compute-engine,2021-07-09 20:05:04.000000,,682.0,697.0,,,,,,,,3.0,283.0,,,,,,,,,,,,,,,,,,,,\n785,DE⫶TR,facebookresearch/detr,,image,https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52.000000,2021-08-19 14:33:03.000000,2021-06-30 10:31:23.000000,1222,100.0,259.0,7418.0,42.0,End-to-End Object Detection with Transformers.,21.0,16,True,2020-06-29 16:41:01.000000,0.2,1.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n786,DeepMind Lab,deepmind/lab,,reinforcement-learning,https://github.com/deepmind/lab,https://github.com/deepmind/lab,GPL-2.0,2016-11-30 13:41:26.000000,2021-08-16 13:53:16.000000,2021-07-21 17:50:32.000000,1323,44.0,159.0,6526.0,488.0,A customisable 3D platform for agent-based AI research.,7.0,16,False,2020-12-07 11:26:33.000000,release-2020-12-07,8.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n787,tinygrad,geohot/tinygrad,,pytorch-utils,https://github.com/geohot/tinygrad,https://github.com/geohot/tinygrad,MIT,2020-10-18 16:23:12.000000,2021-08-22 23:56:34.000000,2021-08-06 14:58:13.000000,552,21.0,64.0,4954.0,562.0,You like pytorch? You like micrograd? You love tinygrad!.,50.0,16,True,,,,,,,,['pytorch'],1.0,1.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n788,GraphEmbedding,shenweichen/GraphEmbedding,,graph,https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20.000000,2021-07-11 08:20:02.000000,2020-10-18 09:32:47.000000,668,35.0,14.0,2215.0,28.0,Implementation and experiments of graph embedding algorithms.,8.0,16,True,,,,,,,,['sklearn'],12.0,12.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n789,automl-gs,minimaxir/automl-gs,,hyperopt,https://github.com/minimaxir/automl-gs,https://github.com/minimaxir/automl-gs,MIT,2019-01-13 18:57:44.000000,2019-10-22 11:20:40.000000,2019-04-05 06:48:14.000000,164,26.0,6.0,1749.0,102.0,\"Provide an input CSV and a target field to predict, generate a model + code to run it.\",7.0,16,False,2019-04-05 06:51:04.000000,0.2.1,2.0,automl_gs,,,,,,,https://pypi.org/project/automl_gs,2019-04-05 06:47:54.000000,,36.0,36.0,,,,,,,,3.0,22.0,,,,,,,,,,,,,,,,,,,,\n790,pycls,facebookresearch/pycls,,image,https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17.000000,2021-08-19 21:16:20.000000,2021-08-19 02:33:54.000000,183,17.0,52.0,1688.0,,\"Codebase for Image Classification Research, written in PyTorch.\",13.0,16,True,2021-05-21 00:29:47.000000,0.2,2.0,,,,,['pytorch'],3.0,3.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n791,BlazingSQL,BlazingDB/blazingsql,,gpu-utilities,https://github.com/BlazingDB/blazingsql,https://github.com/BlazingDB/blazingsql,Apache-2.0,2018-09-24 18:25:45.000000,2021-08-20 22:36:26.000000,2021-08-20 22:33:49.000000,148,129.0,586.0,1565.0,,\"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.\",47.0,16,True,2021-08-16 15:40:43.000000,21.08.00,19.0,,blazingsql/blazingsql-protocol,,,,,,,,,,40.0,https://anaconda.org/blazingsql/blazingsql-protocol,2019-11-11 19:54:17.621000,933.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n792,Xcessiv,reiinakano/xcessiv,,hyperopt,https://github.com/reiinakano/xcessiv,https://github.com/reiinakano/xcessiv,Apache-2.0,2017-03-07 18:18:25.000000,2018-06-06 22:23:37.000000,2017-08-21 00:51:15.000000,109,22.0,13.0,1258.0,316.0,\"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.\",6.0,16,False,2017-08-21 00:53:25.000000,0.5.1,34.0,xcessiv,,,,,2.0,1.0,https://pypi.org/project/xcessiv,2017-08-21 00:49:41.000000,1.0,121.0,121.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n793,Botflow,kkyon/botflow,,data-pipelines,https://github.com/kkyon/botflow,https://github.com/kkyon/botflow,BSD-3-Clause,2018-08-20 03:13:31.000000,2020-12-31 09:03:22.000000,2019-05-23 14:40:50.000000,99,2.0,2.0,1175.0,192.0,\"Python Fast Dataflow programming framework for Data pipeline work( Web Crawler,Machine Learning,Quantitative..\",11.0,16,False,2018-09-14 14:38:32.000000,0.2.0,5.0,botflow,,,,,1.0,1.0,https://pypi.org/project/botflow,2018-09-14 14:38:32.000000,,52.0,52.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n794,torchsde,google-research/torchsde,,pytorch-utils,https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11.000000,2021-07-26 13:59:41.000000,2021-07-26 13:59:38.000000,85,7.0,32.0,809.0,157.0,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,5.0,16,True,2021-01-05 18:31:38.000000,0.2.4,4.0,,,,,['pytorch'],7.0,7.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n795,cuGraph,rapidsai/cugraph,,gpu-utilities,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000000,2021-08-26 14:07:12.000000,2021-08-25 19:25:26.000000,152,111.0,603.0,790.0,,cuGraph - RAPIDS Graph Analytics Library.,65.0,16,True,2021-08-17 14:01:10.000000,21.08.03,13.0,cugraph,,,,,0.0,,https://pypi.org/project/cugraph,2020-06-01 20:09:06.000000,0.0,82.0,82.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n796,MedicalTorch,perone/medicaltorch,,medical-data,https://github.com/perone/medicaltorch,https://github.com/perone/medicaltorch,Apache-2.0,2018-02-27 02:50:07.000000,2021-04-16 18:50:54.000000,2021-04-16 18:50:54.000000,111,14.0,9.0,740.0,57.0,A medical imaging framework for Pytorch.,8.0,16,True,2018-11-24 00:33:11.000000,0.2,2.0,medicaltorch,,,,['pytorch'],11.0,11.0,https://pypi.org/project/medicaltorch,2018-11-24 00:29:36.000000,,227.0,227.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n797,madgrad,facebookresearch/madgrad,,pytorch-utils,https://github.com/facebookresearch/madgrad,https://github.com/facebookresearch/madgrad,MIT,2021-01-12 19:41:06.000000,2021-08-20 18:31:57.000000,2021-08-20 18:31:57.000000,50,2.0,7.0,732.0,,MADGRAD Optimization Method.,1.0,16,True,,,2.0,madgrad,,,,['pytorch'],13.0,13.0,https://pypi.org/project/madgrad,2021-04-01 13:54:29.000000,,3012.0,3012.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n798,Tez,abhishekkrthakur/tez,,pytorch-utils,https://github.com/abhishekkrthakur/tez,https://github.com/abhishekkrthakur/tez,Apache-2.0,2020-11-13 10:19:22.000000,2021-08-16 18:42:17.000000,2021-08-16 12:37:59.000000,91,15.0,9.0,647.0,,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,1.0,16,True,2021-08-16 18:42:17.000000,0.1.8,13.0,tez,,,,['pytorch'],9.0,9.0,https://pypi.org/project/tez,2021-08-16 12:38:36.000000,0.0,1057.0,1057.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n799,NeoML,neoml-lib/neoml,,ml-frameworks,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000000,2021-08-26 11:16:56.000000,2021-08-25 19:38:29.000000,90,28.0,20.0,643.0,409.0,Machine learning framework for both deep learning and traditional algorithms.,21.0,16,True,2021-06-22 05:25:53.000000,NeoML-master_2.0.5.0,2.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n800,AlphaPy,ScottfreeLLC/AlphaPy,,hyperopt,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32.000000,2021-02-08 21:35:40.000000,2021-02-08 21:35:40.000000,136,9.0,29.0,625.0,409.0,\"Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost.\",3.0,16,True,2020-08-29 18:48:20.000000,2.5.0,25.0,alphapy,,,,,3.0,3.0,https://pypi.org/project/alphapy,2020-08-29 18:44:15.000000,,147.0,147.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n801,SpeedTorch,Santosh-Gupta/SpeedTorch,,gpu-utilities,https://github.com/Santosh-Gupta/SpeedTorch,https://github.com/Santosh-Gupta/SpeedTorch,MIT,2019-09-07 18:57:52.000000,2020-02-21 23:13:29.000000,2020-02-21 23:13:28.000000,39,3.0,2.0,622.0,170.0,Library for faster pinned CPU - GPU transfer in Pytorch.,3.0,16,False,2020-01-06 05:27:17.000000,0.1.6,14.0,SpeedTorch,,,,['pytorch'],5.0,3.0,https://pypi.org/project/SpeedTorch,2020-01-06 05:27:17.000000,2.0,117.0,117.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n802,FlashTorch,MisaOgura/flashtorch,,interpretability,https://github.com/MisaOgura/flashtorch,https://github.com/MisaOgura/flashtorch,MIT,2019-03-22 13:00:57.000000,2021-06-30 12:46:02.000000,2021-04-27 11:10:20.000000,71,10.0,22.0,615.0,127.0,Visualization toolkit for neural networks in PyTorch! Demo --.,2.0,16,True,2020-05-29 14:39:38.000000,0.1.3,12.0,flashtorch,,,,['pytorch'],7.0,7.0,https://pypi.org/project/flashtorch,2020-05-29 14:38:32.000000,,193.0,193.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n803,SKLL,EducationalTestingService/skll,,ml-experiments,https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,BSD-1-Clause,2013-08-02 14:31:46.000000,2021-05-14 14:51:58.000000,2021-04-30 14:40:12.000000,64,39.0,348.0,523.0,,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,35.0,16,False,2021-02-26 03:01:01.000000,2.5,64.0,skll,,,,['sklearn'],47.0,30.0,https://pypi.org/project/skll,2020-03-13 16:23:35.000000,17.0,506.0,506.0,,,,,,,,3.0,11.0,,,,,,,,,,,,,,,,,,,,\n804,Auto Tune Models,HDI-Project/ATM,,hyperopt,https://github.com/HDI-Project/ATM,https://github.com/HDI-Project/ATM,MIT,2016-10-14 18:03:00.000000,2020-02-21 17:44:07.000000,2020-02-21 17:40:58.000000,127,17.0,71.0,510.0,775.0,\"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).\",16.0,16,False,2019-07-30 09:28:26.000000,0.2.2,14.0,atm,,,,,6.0,6.0,https://pypi.org/project/atm,2019-07-30 09:25:11.000000,,106.0,106.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n805,OpenRec,ylongqi/openrec,,recommender-systems,https://github.com/ylongqi/openrec,https://github.com/ylongqi/openrec,Apache-2.0,2017-11-29 16:04:40.000000,2021-08-25 14:59:08.000000,2020-02-19 07:57:17.000000,84,5.0,12.0,379.0,213.0,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms.,11.0,16,False,2020-02-18 06:52:11.000000,0.3.0,12.0,openrec,,,,,2.0,1.0,https://pypi.org/project/openrec,2020-02-18 06:52:11.000000,1.0,89.0,89.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n806,carefree-learn,carefree0910/carefree-learn,,tabular,https://github.com/carefree0910/carefree-learn,https://github.com/carefree0910/carefree-learn,MIT,2020-06-17 17:44:17.000000,2021-08-26 07:12:37.000000,2021-08-13 05:58:26.000000,28,4.0,77.0,345.0,194.0,Deep Learning PyTorch.,1.0,16,True,2021-04-09 01:12:31.000000,0.1.16,17.0,carefree-learn,,,,['pytorch'],2.0,2.0,https://pypi.org/project/carefree-learn,2021-03-18 01:39:58.000000,,75.0,75.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n807,LOFO,aerdem4/lofo-importance,,interpretability,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46.000000,2021-01-27 13:57:42.000000,2020-07-02 11:49:52.000000,42,3.0,10.0,342.0,24.0,Leave One Feature Out Importance.,3.0,16,False,2020-07-02 11:44:57.000000,0.2.6,9.0,lofo-importance,,,,,5.0,5.0,https://pypi.org/project/lofo-importance,2020-07-02 11:44:57.000000,,285.0,285.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n808,pdvega,altair-viz/pdvega,,data-viz,https://github.com/altair-viz/pdvega,https://github.com/altair-viz/pdvega,MIT,2018-01-11 21:30:27.000000,2019-03-29 16:09:14.000000,2019-03-29 16:09:13.000000,30,16.0,10.0,339.0,177.0,Interactive plotting for Pandas using Vega-Lite.,9.0,16,False,,,1.0,pdvega,,,,,58.0,51.0,https://pypi.org/project/pdvega,2018-02-01 04:56:43.000000,7.0,126.0,126.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n809,Pywick,achaiah/pywick,,pytorch-utils,https://github.com/achaiah/pywick,https://github.com/achaiah/pywick,MIT,2019-03-25 15:42:47.000000,2021-08-09 21:56:35.000000,2021-05-17 15:46:51.000000,36,3.0,10.0,328.0,124.0,High-level batteries-included neural network training library for Pytorch.,4.0,16,True,2020-01-20 22:14:21.000000,0.5.6,6.0,pywick,,,,['pytorch'],4.0,4.0,https://pypi.org/project/pywick,2020-01-20 22:14:21.000000,,56.0,56.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n810,TextBox,RUCAIBox/TextBox,,nlp,https://github.com/RUCAIBox/TextBox,https://github.com/RUCAIBox/TextBox,MIT,2020-11-08 07:35:46.000000,2021-08-01 04:00:07.000000,2021-08-01 04:00:07.000000,46,3.0,7.0,293.0,,TextBox is an open-source library for building text generation system.,10.0,16,False,2021-04-15 13:39:28.000000,0.2.1,10.0,textbox,,,,,5.0,5.0,https://pypi.org/project/textbox,2021-04-15 09:35:06.000000,,78.0,78.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n811,Headliner,as-ideas/headliner,,nlp,https://github.com/as-ideas/headliner,https://github.com/as-ideas/headliner,MIT,2019-09-30 11:33:28.000000,2021-03-26 07:19:57.000000,2020-02-14 09:03:27.000000,39,1.0,13.0,230.0,276.0,Easy training and deployment of seq2seq models.,2.0,16,False,2020-01-24 09:06:29.000000,1.0.2,30.0,headliner,,,,,4.0,3.0,https://pypi.org/project/headliner,2020-01-24 09:06:29.000000,1.0,435.0,435.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n812,skift,shaypal5/skift,,nlp,https://github.com/shaypal5/skift,https://github.com/shaypal5/skift,MIT,2018-02-03 11:37:21.000000,2021-03-31 10:11:28.000000,2021-03-31 10:11:20.000000,22,2.0,8.0,223.0,129.0,scikit-learn wrappers for Python fastText.,7.0,16,False,2020-08-27 15:01:05.000000,0.0.19,15.0,skift,,,,['sklearn'],9.0,9.0,https://pypi.org/project/skift,2020-08-27 15:01:05.000000,,523.0,523.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n813,launchpad,deepmind/launchpad,,distributed-ml,https://github.com/deepmind/launchpad,https://github.com/deepmind/launchpad,Apache-2.0,2021-02-18 15:16:49.000000,2021-08-24 14:02:56.000000,2021-08-24 14:00:49.000000,13,,13.0,221.0,128.0,Launchpad is a library that simplifies writing distributed programs and seamlessly launching them on a range of..,11.0,16,False,2021-07-19 14:37:01.000000,0.3.1,4.0,dm-launchpad,,,,['tensorflow'],,,https://pypi.org/project/dm-launchpad,2021-07-19 14:37:01.000000,,153.0,153.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n814,Parfit,jmcarpenter2/parfit,,hyperopt,https://github.com/jmcarpenter2/parfit,https://github.com/jmcarpenter2/parfit,MIT,2017-11-22 20:17:51.000000,2020-04-04 19:26:44.000000,2020-04-04 19:26:37.000000,25,6.0,5.0,197.0,127.0,\"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..\",2.0,16,False,,,23.0,parfit,,,,['sklearn'],8.0,8.0,https://pypi.org/project/parfit,2018-10-11 22:03:16.000000,,18141.0,18141.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n815,skggm,skggm/skggm,,sklearn-utils,https://github.com/skggm/skggm,https://github.com/skggm/skggm,MIT,2016-06-11 18:35:56.000000,2020-12-24 08:36:00.000000,2020-12-24 05:43:15.000000,32,28.0,47.0,185.0,691.0,Scikit-learn compatible estimation of general graphical models.,5.0,16,False,2018-09-12 01:12:49.000000,0.2.8,6.0,skggm,,,,['sklearn'],8.0,6.0,https://pypi.org/project/skggm,2018-09-12 01:12:49.000000,2.0,64.0,64.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n816,nx-altair,Zsailer/nx_altair,,data-viz,https://github.com/Zsailer/nx_altair,https://github.com/Zsailer/nx_altair,MIT,2018-05-13 00:10:12.000000,2020-09-30 12:01:08.000000,2020-06-02 21:10:26.000000,21,6.0,4.0,168.0,51.0,Draw interactive NetworkX graphs with Altair.,3.0,16,False,2020-06-02 21:11:12.000000,0.1.6,8.0,nx-altair,,,,['jupyter'],4.0,,https://pypi.org/project/nx-altair,2020-06-02 21:11:12.000000,4.0,426.0,426.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n817,ipyexperiments,stas00/ipyexperiments,,gpu-utilities,https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40.000000,2021-03-28 18:24:12.000000,2021-03-28 18:23:45.000000,10,,4.0,136.0,196.0,jupyter/ipython experiment containers for GPU and general RAM re-use.,3.0,16,False,2021-03-28 03:39:09.000000,0.1.26,23.0,ipyexperiments,,,,['jupyter'],7.0,5.0,https://pypi.org/project/ipyexperiments,2021-03-28 03:39:09.000000,2.0,169.0,169.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n818,steppy,minerva-ml/steppy,,ml-experiments,https://github.com/minerva-ml/steppy,https://github.com/minerva-ml/steppy,MIT,2018-01-15 09:40:49.000000,2018-11-23 09:49:59.000000,2018-11-23 09:47:34.000000,32,16.0,50.0,129.0,69.0,\"Lightweight, Python library for fast and reproducible experimentation.\",5.0,16,False,2018-11-23 09:49:59.000000,0.1.16,16.0,steppy,,,,,44.0,39.0,https://pypi.org/project/steppy,2018-11-23 09:49:59.000000,5.0,135.0,135.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n819,celer,mathurinm/celer,,sklearn-utils,https://github.com/mathurinm/celer,https://github.com/mathurinm/celer,BSD-3-Clause,2018-02-20 19:37:31.000000,2021-07-27 15:03:30.000000,2021-07-20 14:09:21.000000,22,16.0,52.0,119.0,219.0,\"Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.\",9.0,16,False,2020-10-12 12:26:09.000000,0.5.1,10.0,celer,,,,['sklearn'],5.0,5.0,https://pypi.org/project/celer,2020-12-09 13:19:10.000000,,86.0,86.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n820,dabl,amueller/dabl,,sklearn-utils,https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49.000000,2021-07-09 20:34:09.000000,2021-07-09 18:47:52.000000,9,1.0,,105.0,,Data Analysis Baseline Library.,21.0,16,False,2021-07-09 19:20:43.000000,0.2.2,12.0,dabl,,,,['sklearn'],,,https://pypi.org/project/dabl,2021-07-09 19:20:43.000000,,1864.0,1864.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n821,OpenNRE,thunlp/OpenNRE,,nlp,https://github.com/thunlp/OpenNRE,https://github.com/thunlp/OpenNRE,MIT,2017-02-26 07:37:12.000000,2021-06-21 10:38:53.000000,2021-05-31 02:53:22.000000,866,21.0,315.0,3271.0,158.0,An Open-Source Package for Neural Relation Extraction (NRE).,9.0,15,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n822,Euler,alibaba/euler,,graph,https://github.com/alibaba/euler,https://github.com/alibaba/euler,Apache-2.0,2019-01-10 06:32:32.000000,2021-04-19 11:30:28.000000,2020-07-29 05:53:01.000000,525,212.0,102.0,2646.0,8.0,A distributed graph deep learning framework.,5.0,15,False,2020-07-07 02:24:18.000000,2.0.0,2.0,euler-gl,,,,['tensorflow'],,,https://pypi.org/project/euler-gl,2019-04-10 01:53:45.000000,,39.0,39.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n823,Translate,pytorch/translate,,nlp,https://github.com/pytorch/translate,https://github.com/pytorch/translate,BSD-3-Clause,2018-04-24 16:44:04.000000,2021-08-19 21:29:03.000000,2021-08-17 13:09:30.000000,169,66.0,27.0,709.0,808.0,Translate - a PyTorch Language Library.,86.0,15,True,,,1.0,pytorch-translate,,,,['pytorch'],,,https://pypi.org/project/pytorch-translate,2018-05-01 19:59:40.000000,,13.0,13.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n824,HyperparameterHunter,HunterMcGushion/hyperparameter_hunter,,hyperopt,https://github.com/HunterMcGushion/hyperparameter_hunter,https://github.com/HunterMcGushion/hyperparameter_hunter,MIT,2018-06-01 23:17:00.000000,2021-01-20 03:52:41.000000,2021-01-20 03:52:40.000000,83,37.0,84.0,662.0,1096.0,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries.,4.0,15,True,2019-08-06 09:09:45.000000,3.0.0,16.0,hyperparameter-hunter,,,,,2.0,,https://pypi.org/project/hyperparameter-hunter,2019-08-06 08:52:20.000000,2.0,100.0,109.0,,,,,,,,3.0,327.0,,,,,,,,,,,,,,,,,,,,\n825,ThunderGBM,Xtra-Computing/thundergbm,,ml-frameworks,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08.000000,2021-04-01 02:08:51.000000,2021-01-05 04:22:15.000000,79,22.0,28.0,608.0,606.0,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,10.0,15,True,2020-05-01 23:16:25.000000,0.3.16,24.0,thundergbm,,,,,,,https://pypi.org/project/thundergbm,2020-05-01 23:16:25.000000,,120.0,120.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n826,textflint,textflint/textflint,,adversarial,https://github.com/textflint/textflint,https://github.com/textflint/textflint,GPL-3.0,2021-03-06 11:15:52.000000,2021-07-25 11:25:11.000000,2021-07-11 12:35:29.000000,72,1.0,15.0,493.0,154.0,Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing.,11.0,15,False,2021-07-09 03:21:27.000000,0.0.4,4.0,textflint,,,,,1.0,1.0,https://pypi.org/project/textflint,2021-07-09 03:21:27.000000,,118.0,118.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n827,kglib,vaticle/kglib,,graph,https://github.com/vaticle/kglib,https://github.com/vaticle/kglib,Apache-2.0,2018-09-16 16:46:48.000000,2021-05-31 07:19:24.000000,2021-01-15 11:17:51.000000,84,12.0,49.0,452.0,487.0,Grakn Knowledge Graph Library (ML R&D).,7.0,15,True,2020-08-19 15:39:10.000000,0.2.2,7.0,grakn-kglib,,,,,,,https://pypi.org/project/grakn-kglib,2020-08-19 15:39:10.000000,,109.0,115.0,,,,,,,,3.0,211.0,,,,,,,,,,,,,,,,,,,,\n828,VizSeq,facebookresearch/vizseq,,nlp,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38.000000,2021-08-19 14:30:26.000000,2021-08-19 14:30:23.000000,41,7.0,8.0,350.0,54.0,\"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).\",3.0,15,True,2020-08-07 01:13:52.000000,0.1.15,16.0,vizseq,,,,,2.0,2.0,https://pypi.org/project/vizseq,2020-08-07 01:13:52.000000,,132.0,132.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n829,tfdeploy,riga/tfdeploy,,model-serialisation,https://github.com/riga/tfdeploy,https://github.com/riga/tfdeploy,BSD-3-Clause,2016-03-07 13:08:21.000000,2021-01-08 09:52:54.000000,2021-01-08 09:52:49.000000,38,11.0,23.0,346.0,170.0,Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.,4.0,15,True,2017-03-30 10:51:26.000000,0.4.2,22.0,tfdeploy,,,,['tensorflow'],2.0,,https://pypi.org/project/tfdeploy,2017-03-30 10:51:26.000000,2.0,98.0,98.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n830,TransferNLP,feedly/transfer-nlp,,nlp,https://github.com/feedly/transfer-nlp,https://github.com/feedly/transfer-nlp,MIT,2019-03-12 20:00:31.000000,2020-05-28 19:00:02.000000,2020-05-28 17:31:53.000000,18,4.0,20.0,287.0,465.0,NLP library designed for reproducible experimentation management.,7.0,15,False,2020-05-28 19:00:02.000000,0.1.6,8.0,transfer-nlp,,,,['pytorch'],,,https://pypi.org/project/transfer-nlp,2020-05-28 19:00:02.000000,,183.0,183.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n831,data-describe,data-describe/data-describe,,data-viz,https://github.com/data-describe/data-describe,https://github.com/data-describe/data-describe,Apache-2.0,2020-05-04 17:58:14.000000,2021-07-02 20:30:09.000000,2021-03-02 19:30:45.000000,15,69.0,175.0,285.0,695.0,datadescribe: Pythonic EDA Accelerator for Data Science.,14.0,15,False,,,5.0,data-describe,,,,,,,https://pypi.org/project/data-describe,2020-12-03 23:07:43.000000,,190.0,190.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n832,interpret-text,interpretml/interpret-text,,interpretability,https://github.com/interpretml/interpret-text,https://github.com/interpretml/interpret-text,MIT,2019-09-04 16:39:48.000000,2021-08-12 03:06:16.000000,2021-03-02 02:33:00.000000,49,30.0,16.0,261.0,143.0,A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the..,17.0,15,False,2020-05-20 23:42:32.000000,0.1.2,3.0,interpret-text,,,,['jupyter'],,,https://pypi.org/project/interpret-text,2020-05-20 23:42:32.000000,,82.0,82.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n833,ExplainX.ai,explainX/explainx,,interpretability,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15.000000,2021-02-07 11:06:21.000000,2021-02-02 09:03:57.000000,36,10.0,17.0,217.0,184.0,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,4.0,15,False,2021-02-07 11:06:21.000000,2.407,56.0,explainx,,,,,,,https://pypi.org/project/explainx,2021-02-04 16:44:24.000000,,695.0,695.0,,,,,,,,3.0,2.0,,,,,,,,,,,,,,,,,,,,\n834,NeuralQA,victordibia/neuralqa,,nlp,https://github.com/victordibia/neuralqa,https://github.com/victordibia/neuralqa,MIT,2020-05-19 03:55:56.000000,2021-08-25 14:51:41.000000,2020-12-16 17:41:37.000000,30,31.0,8.0,203.0,312.0,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,3.0,15,False,,,27.0,neuralqa,,,,,2.0,2.0,https://pypi.org/project/neuralqa,2020-09-18 17:54:50.000000,,146.0,146.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n835,ONNX-T5,abelriboulot/onnxt5,,nlp,https://github.com/abelriboulot/onnxt5,https://github.com/abelriboulot/onnxt5,Apache-2.0,2020-08-01 09:38:35.000000,2021-01-28 09:26:15.000000,2021-01-28 09:24:52.000000,23,6.0,8.0,176.0,74.0,\"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..\",3.0,15,False,2021-01-28 09:26:15.000000,0.1.8,11.0,onnxt5,,,,,,,https://pypi.org/project/onnxt5,2021-01-28 09:26:15.000000,,765.0,765.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n836,ModelChimp,ModelChimp/modelchimp,,ml-experiments,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03.000000,2021-08-25 15:38:30.000000,2021-08-01 07:11:57.000000,12,4.0,10.0,121.0,363.0,Experiment tracking for machine and deep learning projects.,3.0,15,False,2019-04-09 10:43:15.000000,0.4.0,37.0,modelchimp,,modelchimp/modelchimp-server,,,,,https://pypi.org/project/modelchimp,2019-04-09 10:41:20.000000,,138.0,157.0,,,,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,642.0,3.0,,,,,,,,,,,,,,,,,,,,,\n837,GraphSAGE,williamleif/GraphSAGE,,graph,https://github.com/williamleif/GraphSAGE,https://github.com/williamleif/GraphSAGE,MIT,2017-05-29 15:36:22.000000,2021-08-25 15:01:46.000000,2018-09-19 19:27:00.000000,685,88.0,58.0,2448.0,59.0,Representation learning on large graphs using stochastic graph convolutions.,9.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n838,ZhuSuan,thu-ml/zhusuan,,probabilistics,https://github.com/thu-ml/zhusuan,https://github.com/thu-ml/zhusuan,MIT,2016-07-18 13:31:38.000000,2020-01-09 14:51:27.000000,2019-08-05 10:00:04.000000,393,8.0,53.0,2071.0,439.0,\"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.\",20.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n839,micrograd,karpathy/micrograd,,pytorch-utils,https://github.com/karpathy/micrograd,https://github.com/karpathy/micrograd,MIT,2020-04-13 04:31:18.000000,2021-06-24 12:28:13.000000,2020-04-18 19:15:25.000000,140,2.0,3.0,1786.0,24.0,A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.,2.0,14,False,2020-04-18 19:06:59.000000,0.1.0,1.0,micrograd,,,,['pytorch'],1.0,1.0,https://pypi.org/project/micrograd,2020-04-18 19:06:59.000000,0.0,33.0,33.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n840,AutoGL,THUMNLab/AutoGL,,graph,https://github.com/THUMNLab/AutoGL,https://github.com/THUMNLab/AutoGL,Apache-2.0,2020-11-30 14:26:22.000000,2021-08-25 18:25:49.000000,2021-08-12 08:32:06.000000,70,5.0,8.0,668.0,,An autoML framework & toolkit for machine learning on graphs.,9.0,14,True,2020-12-23 08:15:15.000000,0.1.1,2.0,auto-graph-learning,,,,['pytorch'],,,https://pypi.org/project/auto-graph-learning,2020-12-23 08:05:25.000000,,47.0,47.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n841,Anchor,marcotcr/anchor,,interpretability,https://github.com/marcotcr/anchor,https://github.com/marcotcr/anchor,BSD-2-Clause,2018-02-02 23:38:50.000000,2021-04-19 22:37:30.000000,2021-04-19 22:37:22.000000,88,18.0,48.0,661.0,42.0,Code for High-Precision Model-Agnostic Explanations paper.,8.0,14,True,,,8.0,anchor_exp,,,,,,,https://pypi.org/project/anchor_exp,2020-06-26 20:56:50.000000,,879.0,879.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n842,cuSignal,rapidsai/cusignal,,gpu-utilities,https://github.com/rapidsai/cusignal,https://github.com/rapidsai/cusignal,Apache-2.0,2019-08-22 14:27:27.000000,2021-08-23 13:59:49.000000,2021-08-23 13:59:49.000000,72,15.0,105.0,516.0,,GPU accelerated signal processing.,33.0,14,True,2021-08-04 14:38:39.000000,21.08.00,8.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n843,PandaPy,firmai/pandapy,,data-containers,https://github.com/firmai/pandapy,https://github.com/firmai/pandapy,MIT,2020-01-15 18:21:23.000000,2021-06-06 06:59:37.000000,2020-11-12 16:18:44.000000,52,2.0,1.0,479.0,83.0,PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai).,3.0,14,True,2020-11-12 16:12:54.000000,zen,22.0,pandapy,,,,['pandas'],1.0,1.0,https://pypi.org/project/pandapy,2020-01-25 23:10:32.000000,,93.0,93.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n844,Adversary,airbnb/artificial-adversary,,adversarial,https://github.com/airbnb/artificial-adversary,https://github.com/airbnb/artificial-adversary,MIT,2018-08-08 04:42:11.000000,2018-10-14 05:34:44.000000,2018-08-29 15:31:30.000000,51,6.0,,353.0,15.0,Tool to generate adversarial text examples and test machine learning models against them.,5.0,14,False,2018-08-29 15:14:41.000000,1.1.1,3.0,Adversary,,,,,6.0,6.0,https://pypi.org/project/Adversary,2018-08-29 15:14:41.000000,0.0,26.0,26.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n845,pykale,pykale/pykale,,others,https://github.com/pykale/pykale,https://github.com/pykale/pykale,MIT,2020-06-30 08:06:10.000000,2021-08-26 09:31:06.000000,2021-08-20 12:12:32.000000,24,4.0,38.0,263.0,,Knowledge-Aware machine LEarning (KALE) from multiple sources in Python.,13.0,14,False,2021-06-21 08:53:21.000000,0.1.0rc2,6.0,pykale,,,,['pytorch'],,,https://pypi.org/project/pykale,2021-06-21 08:54:23.000000,,83.0,83.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n846,backprop,backprop-ai/backprop,,model-serialisation,https://github.com/backprop-ai/backprop,https://github.com/backprop-ai/backprop,Apache-2.0,2020-10-30 15:25:14.000000,2021-05-03 09:15:25.000000,2021-05-03 09:15:21.000000,9,,4.0,202.0,,\"Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.\",8.0,14,False,2021-04-20 13:53:12.000000,0.1.2,14.0,backprop,,,,,,,https://pypi.org/project/backprop,2021-04-20 13:53:12.000000,,156.0,156.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n847,tsaug,arundo/tsaug,,time-series-data,https://github.com/arundo/tsaug,https://github.com/arundo/tsaug,Apache-2.0,2019-09-27 00:38:05.000000,2020-04-17 02:55:58.000000,2020-04-17 02:46:38.000000,19,6.0,3.0,201.0,10.0,A Python package for time series augmentation.,4.0,14,False,2020-04-17 02:50:25.000000,0.2.1,4.0,tsaug,,,,,,,https://pypi.org/project/tsaug,2020-04-17 02:50:25.000000,,1148.0,1148.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n848,fastT5,Ki6an/fastT5,,nlp,https://github.com/Ki6an/fastT5,https://github.com/Ki6an/fastT5,Apache-2.0,2021-03-11 08:46:42.000000,2021-07-15 09:51:05.000000,2021-07-15 09:46:50.000000,18,9.0,10.0,198.0,11.0,boost inference speed of T5 models by 5x & reduce the model size by 3x.,2.0,14,False,2021-07-15 09:51:05.000000,0.0.6,6.0,fastt5,,,,,1.0,1.0,https://pypi.org/project/fastt5,2021-07-15 09:51:05.000000,,1306.0,1306.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n849,Auptimizer,LGE-ARC-AdvancedAI/auptimizer,,hyperopt,https://github.com/LGE-ARC-AdvancedAI/auptimizer,https://github.com/LGE-ARC-AdvancedAI/auptimizer,GPL-3.0,2019-09-12 01:08:37.000000,2021-08-25 15:02:18.000000,2021-03-03 01:30:06.000000,21,1.0,5.0,174.0,79.0,An automatic ML model optimization tool.,11.0,14,False,2021-03-03 02:00:23.000000,2.0,7.0,auptimizer,,,,,,,https://pypi.org/project/auptimizer,2021-03-02 02:40:32.000000,,77.0,77.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n850,textvec,textvec/textvec,,nlp,https://github.com/textvec/textvec,https://github.com/textvec/textvec,MIT,2018-04-12 14:03:53.000000,2020-12-03 14:23:11.000000,2020-12-03 14:23:04.000000,21,2.0,6.0,174.0,70.0,Text vectorization tool to outperform TFIDF for classification tasks.,4.0,14,False,2019-09-12 07:41:04.000000,2.0,4.0,textvec,,,,['sklearn'],4.0,4.0,https://pypi.org/project/textvec,2020-12-03 14:17:09.000000,,107.0,107.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n851,Maze,enlite-ai/maze,,reinforcement-learning,https://github.com/enlite-ai/maze,https://github.com/enlite-ai/maze,Custom,2021-02-11 08:26:37.000000,2021-08-18 13:14:22.000000,2021-06-24 20:06:29.000000,4,,2.0,173.0,,Maze Applied Reinforcement Learning Framework.,3.0,14,False,2021-06-24 20:08:22.000000,0.1.7,18.0,maze-rl,,enliteai/maze,,['pytorch'],1.0,1.0,https://pypi.org/project/maze-rl,2021-06-24 20:28:17.000000,,113.0,150.0,,,,https://hub.docker.com/r/enliteai/maze,2021-06-24 21:00:27.801118,,227.0,3.0,,,,,,,,,,,,,,,,,,,,,\n852,DeepNeuro,QTIM-Lab/DeepNeuro,,medical-data,https://github.com/QTIM-Lab/DeepNeuro,https://github.com/QTIM-Lab/DeepNeuro,MIT,2017-06-01 19:36:34.000000,2020-06-24 13:00:15.000000,2020-06-24 13:00:14.000000,33,27.0,16.0,106.0,285.0,A deep learning python package for neuroimaging data. Made by:.,6.0,14,False,2019-06-10 21:04:04.000000,0.2.3,6.0,deepneuro,,,,,1.0,1.0,https://pypi.org/project/deepneuro,2019-06-10 21:04:04.000000,,53.0,53.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n853,Hypermax,electricbrainio/hypermax,,hyperopt,https://github.com/electricbrainio/hypermax,https://github.com/electricbrainio/hypermax,BSD-3-Clause,2018-07-27 18:43:01.000000,2020-08-02 18:08:50.000000,2020-08-02 18:08:46.000000,14,3.0,1.0,97.0,207.0,\"Better, faster hyper-parameter optimization.\",9.0,14,False,2019-10-23 15:40:12.000000,0.5.1,11.0,hypermax,,,,,4.0,4.0,https://pypi.org/project/hypermax,2019-10-23 15:40:12.000000,,46.0,46.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n854,featurewiz,AutoViML/featurewiz,,hyperopt,https://github.com/AutoViML/featurewiz,https://github.com/AutoViML/featurewiz,Apache-2.0,2020-11-29 16:46:16.000000,2021-07-13 12:15:03.000000,2021-07-08 21:39:56.000000,21,3.0,1.0,72.0,,Use advanced feature engineering strategies and select the best features from your data set fast with a single line of..,2.0,14,False,2021-07-08 21:40:45.000000,0.0.42,42.0,featurewiz,,,,,1.0,1.0,https://pypi.org/project/featurewiz,2021-07-08 21:40:45.000000,,710.0,710.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n855,contextual-ai,SAP/contextual-ai,,interpretability,https://github.com/SAP/contextual-ai,https://github.com/SAP/contextual-ai,Apache-2.0,2020-05-12 07:15:56.000000,2021-08-24 09:17:38.000000,2021-01-25 04:03:23.000000,10,11.0,1.0,72.0,621.0,\"Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference -..\",10.0,14,False,2021-01-25 04:56:57.000000,0.0.2,2.0,contextual-ai,,,,,,,https://pypi.org/project/contextual-ai,2021-01-25 04:56:57.000000,,140.0,140.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n856,nptsne,biovault/nptsne,,data-viz,https://github.com/biovault/nptsne,https://github.com/biovault/nptsne,Apache-2.0,2019-06-28 08:40:25.000000,2021-08-16 16:13:49.000000,2021-02-03 08:52:27.000000,2,6.0,5.0,25.0,857.0,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,3.0,14,False,2020-09-10 23:54:14.000000,1.1.0,2.0,nptsne,,,,,3.0,3.0,https://pypi.org/project/nptsne,2020-09-10 23:54:14.000000,,125.0,125.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n857,StarSpace,facebookresearch/StarSpace,,ml-frameworks,https://github.com/facebookresearch/StarSpace,https://github.com/facebookresearch/StarSpace,MIT,2017-06-28 17:50:18.000000,2021-04-23 05:17:29.000000,2019-12-13 19:03:25.000000,494,50.0,148.0,3655.0,138.0,\"Learning embeddings for classification, retrieval and ranking.\",17.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n858,OpenKE,thunlp/OpenKE,,graph,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,MIT,2017-10-08 11:20:23.000000,2021-04-06 08:24:33.000000,2021-04-06 08:24:50.000000,810,73.0,231.0,2682.0,97.0,An Open-Source Package for Knowledge Embedding (KE).,10.0,13,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n859,ENAS,carpedm20/ENAS-pytorch,,hyperopt,https://github.com/carpedm20/ENAS-pytorch,https://github.com/carpedm20/ENAS-pytorch,Apache-2.0,2018-02-15 04:54:37.000000,2020-12-09 18:13:03.000000,2020-06-16 07:23:32.000000,453,37.0,7.0,2461.0,53.0,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,6.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n860,OpenNE,thunlp/OpenNE,,graph,https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20.000000,2021-03-22 13:16:57.000000,2019-08-12 10:56:27.000000,455,50.0,82.0,1485.0,98.0,An Open-Source Package for Network Embedding (NE).,10.0,13,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n861,surpriver,tradytics/surpriver,,financial-data,https://github.com/tradytics/surpriver,https://github.com/tradytics/surpriver,GPL-3.0,2020-08-30 07:56:22.000000,2021-08-13 08:02:31.000000,2020-09-21 04:32:05.000000,242,10.0,6.0,1298.0,64.0,Find big moving stocks before they move using machine learning and anomaly detection.,6.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n862,Medical Detection Toolkit,MIC-DKFZ/medicaldetectiontoolkit,,medical-data,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,Apache-2.0,2018-10-12 12:34:57.000000,2021-06-08 20:55:07.000000,2021-05-31 17:04:14.000000,262,37.0,85.0,1021.0,38.0,\"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..\",3.0,13,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n863,Torch-Struct,harvardnlp/pytorch-struct,,pytorch-utils,https://github.com/harvardnlp/pytorch-struct,https://github.com/harvardnlp/pytorch-struct,MIT,2019-08-26 19:34:30.000000,2021-05-09 17:27:03.000000,2021-05-09 17:25:02.000000,72,18.0,25.0,972.0,262.0,\"Fast, general, and tested differentiable structured prediction in PyTorch.\",13.0,13,True,2021-02-15 20:20:59.000000,0.5,2.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n864,BLINK,facebookresearch/BLINK,,nlp,https://github.com/facebookresearch/BLINK,https://github.com/facebookresearch/BLINK,MIT,2019-09-25 21:27:44.000000,2021-07-30 08:38:19.000000,2021-04-02 03:03:34.000000,117,35.0,28.0,705.0,211.0,Entity Linker solution.,16.0,13,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n865,deltapy,firmai/deltapy,,tabular,https://github.com/firmai/deltapy,https://github.com/firmai/deltapy,MIT,2020-04-08 05:27:53.000000,2021-01-21 16:27:58.000000,2021-01-21 16:27:57.000000,36,2.0,,372.0,37.0,DeltaPy - Tabular Data Augmentation (by @firmai).,4.0,13,True,2020-11-12 16:13:21.000000,zen,11.0,deltapy,,,,,2.0,2.0,https://pypi.org/project/deltapy,2020-04-09 01:48:32.000000,,77.0,77.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n866,dstack,dstackai/dstack,,others,https://github.com/dstackai/dstack,https://github.com/dstackai/dstack,Apache-2.0,2020-06-22 09:03:03.000000,2021-03-23 15:50:23.000000,,11,21.0,,183.0,,An open-source tool to rapidly develop data applications with Python.,2.0,13,False,2021-03-04 19:20:57.000000,0.6.4,22.0,dstack,,,,,,,https://pypi.org/project/dstack,2021-03-23 15:46:40.000000,,298.0,298.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n867,numerizer,jaidevd/numerizer,,nlp,https://github.com/jaidevd/numerizer,https://github.com/jaidevd/numerizer,MIT,2019-12-02 07:00:34.000000,2021-04-04 05:05:33.000000,2021-04-03 04:27:49.000000,7,1.0,4.0,123.0,17.0,A Python module to convert natural language numerics into ints and floats.,2.0,13,False,2021-04-03 04:33:45.000000,0.2.0,8.0,numerizer,,,,,9.0,9.0,https://pypi.org/project/numerizer,2021-04-03 04:33:45.000000,,478.0,478.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n868,Attribution Priors,suinleelab/attributionpriors,,interpretability,https://github.com/suinleelab/attributionpriors,https://github.com/suinleelab/attributionpriors,MIT,2019-06-24 23:54:24.000000,2021-03-19 19:43:58.000000,2021-03-19 19:43:51.000000,8,1.0,3.0,85.0,72.0,Tools for training explainable models using attribution priors.,6.0,13,False,2021-03-16 17:47:18.000000,1.0.0,4.0,attributionpriors,,,,\"['tensorflow', 'pytorch']\",2.0,2.0,https://pypi.org/project/attributionpriors,2019-10-31 18:03:05.000000,,39.0,39.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n869,bias-detector,intuit/bias-detector,,interpretability,https://github.com/intuit/bias-detector,https://github.com/intuit/bias-detector,MIT,2021-02-02 16:58:52.000000,2021-06-01 09:13:29.000000,2021-06-01 09:12:00.000000,7,,,34.0,,Bias Detector is a python package for detecting bias in machine learning models.,4.0,13,False,2021-04-22 15:20:54.000000,0.0.12,11.0,bias-detector,,,,,,,https://pypi.org/project/bias-detector,2021-04-22 15:20:54.000000,,75.0,75.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n870,model_search,google/model_search,,hyperopt,https://github.com/google/model_search,https://github.com/google/model_search,Apache-2.0,2021-01-19 18:26:34.000000,2021-07-26 12:43:38.000000,2021-03-17 17:06:04.000000,301,34.0,13.0,3126.0,8.0,AutoML algorithms for model architecture search at scale.,1.0,12,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n871,MedicalNet,Tencent/MedicalNet,,medical-data,https://github.com/Tencent/MedicalNet,https://github.com/Tencent/MedicalNet,MIT,2019-07-17 09:53:10.000000,2020-08-27 13:37:27.000000,2020-08-27 13:37:26.000000,318,47.0,14.0,1196.0,26.0,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,1.0,12,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n872,GraphVite,DeepGraphLearning/graphvite,,graph,https://github.com/DeepGraphLearning/graphvite,https://github.com/DeepGraphLearning/graphvite,Apache-2.0,2019-07-16 15:48:20.000000,2021-01-14 02:19:03.000000,2021-01-14 02:18:46.000000,126,30.0,56.0,933.0,15.0,GraphVite: A General and High-performance Graph Embedding System.,1.0,12,True,,,4.0,,milagraph/graphvite,,,,,,,,,,160.0,https://anaconda.org/milagraph/graphvite,2020-03-19 18:21:30.972000,3853.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n873,autodist,petuum/autodist,,distributed-ml,https://github.com/petuum/autodist,https://github.com/petuum/autodist,Apache-2.0,2020-06-29 19:45:38.000000,2021-04-12 21:55:36.000000,2021-01-28 00:04:40.000000,20,11.0,1.0,104.0,208.0,Simple Distributed Deep Learning on TensorFlow.,11.0,12,False,,,2.0,autodist,,,,['tensorflow'],,,https://pypi.org/project/autodist,2020-07-16 05:36:19.000000,,30.0,30.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n874,nylon,Palashio/nylon,,others,https://github.com/Palashio/nylon,https://github.com/Palashio/nylon,MIT,2021-06-04 17:33:49.000000,2021-07-29 20:34:04.000000,2021-07-23 19:37:10.000000,10,14.0,18.0,71.0,,\"An intelligent, flexible grammar of machine learning.\",3.0,12,False,2021-06-25 14:27:32.000000,0.0.7,8.0,nylon-ai,,,,,,,https://pypi.org/project/nylon-ai,2021-06-25 14:27:32.000000,,106.0,106.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n875,LazyCluster,ml-tooling/lazycluster,,distributed-ml,https://github.com/ml-tooling/lazycluster,https://github.com/ml-tooling/lazycluster,Apache-2.0,2019-08-07 08:05:13.000000,2021-08-19 13:59:11.000000,2021-08-19 13:59:11.000000,7,,,43.0,,Distributed machine learning made simple.,2.0,12,False,2020-12-14 15:25:59.000000,0.2.4,5.0,lazycluster,,,,,7.0,7.0,https://pypi.org/project/lazycluster,2020-12-14 14:49:33.000000,,80.0,80.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n876,spacy-dbpedia-spotlight,MartinoMensio/spacy-dbpedia-spotlight,,nlp,https://github.com/MartinoMensio/spacy-dbpedia-spotlight,https://github.com/MartinoMensio/spacy-dbpedia-spotlight,MIT,2020-04-29 19:35:04.000000,2021-04-12 13:38:53.000000,2021-04-12 13:38:47.000000,5,6.0,,40.0,13.0,A spaCy wrapper for DBpedia Spotlight.,1.0,12,False,2021-04-12 13:25:07.000000,0.2.1,6.0,spacy-dbpedia-spotlight,,,,['spacy'],,,https://pypi.org/project/spacy-dbpedia-spotlight,2021-04-09 13:21:45.000000,,163.0,163.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n877,traingenerator,jrieke/traingenerator,,others,https://github.com/jrieke/traingenerator,https://github.com/jrieke/traingenerator,MIT,2020-12-03 16:47:16.000000,2021-06-28 17:42:41.000000,2021-04-29 13:46:13.000000,141,9.0,3.0,1066.0,,A web app to generate template code for machine learning.,3.0,11,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n878,Devol,joeddav/devol,,hyperopt,https://github.com/joeddav/devol,https://github.com/joeddav/devol,MIT,2017-02-10 03:07:54.000000,2020-07-05 21:56:59.000000,2020-07-05 21:56:58.000000,108,7.0,20.0,931.0,116.0,Genetic neural architecture search with Keras.,18.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n879,PySparNN,facebookresearch/pysparnn,,nn-search,https://github.com/facebookresearch/pysparnn,https://github.com/facebookresearch/pysparnn,BSD-3-Clause,2016-03-28 20:43:42.000000,2020-10-02 06:01:01.000000,2018-01-31 16:50:23.000000,144,15.0,14.0,880.0,147.0,Approximate Nearest Neighbor Search for Sparse Data in Python!.,5.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n880,Hypertunity,gdikov/hypertunity,,hyperopt,https://github.com/gdikov/hypertunity,https://github.com/gdikov/hypertunity,Apache-2.0,2019-06-02 12:04:55.000000,2020-01-26 23:14:49.000000,2020-01-26 22:53:29.000000,9,,2.0,121.0,64.0,A toolset for black-box hyperparameter optimisation.,2.0,11,False,2020-01-26 23:08:16.000000,1.0.1,7.0,hypertunity,,,,,2.0,2.0,https://pypi.org/project/hypertunity,2020-01-26 23:08:16.000000,,30.0,30.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n881,Mozart,aashrafh/Mozart,,ocr,https://github.com/aashrafh/Mozart,https://github.com/aashrafh/Mozart,Apache-2.0,2020-12-14 11:49:14.000000,2021-05-05 17:21:44.000000,2021-05-05 17:21:44.000000,43,1.0,4.0,288.0,,An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.,5.0,10,False,,,,,,,,['sklearn'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n882,traintool,jrieke/traintool,,ml-experiments,https://github.com/jrieke/traintool,https://github.com/jrieke/traintool,Apache-2.0,2020-09-30 22:23:05.000000,2021-03-12 01:44:04.000000,2021-03-12 01:43:14.000000,1,,,9.0,122.0,Train off-the-shelf machine learning models in one line of code.,,10,False,2020-11-02 02:25:32.000000,0.0.3,3.0,traintool,,,,\"['pytorch', 'tensorflow', 'sklearn']\",,,https://pypi.org/project/traintool,2020-11-02 02:25:32.000000,,42.0,42.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n883,Lea,,,probabilistics,,http://bitbucket.org/piedenis/lea,GPL-3.0,,2020-11-13 19:50:21.000000,,3,,,,,Discrete probability distributions in Python.,,10,False,2020-11-13 19:50:21.000000,3.4.0,50.0,lea,,,,,21.0,,https://pypi.org/project/lea,2020-11-13 19:50:21.000000,21.0,2730.0,2730.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,piedenis/lea\n"
  },
  {
    "path": "history/2021-11-17_changes.md",
    "content": "## 📈 Trending Up\n\n_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._\n\n- <b><a href=\"https://github.com/yzhao062/pyod\">PyOD</a></b> (🥇31 ·  ⭐ 5K · 📈) - A Python Toolbox for Scalable Outlier Detection (Anomaly Detection). <code><a href=\"http://bit.ly/3rqEWVr\">BSD-2</a></code>\n- <b><a href=\"https://github.com/arogozhnikov/einops\">einops</a></b> (🥈30 ·  ⭐ 3.9K · 📈) - Deep learning operations reinvented (for pytorch, tensorflow, jax and.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/scikit-learn-contrib/category_encoders\">category_encoders</a></b> (🥈30 ·  ⭐ 1.8K · 📈) - A library of sklearn compatible categorical variable.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/milvus-io/milvus\">Milvus</a></b> (🥇29 ·  ⭐ 8.8K · 📈) - An open-source vector database for embedding similarity search.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/explosion/cython-blis\">Cython BLIS</a></b> (🥇29 ·  ⭐ 180 · 📈) - Fast matrix-multiplication as a self-contained Python library.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/apple/coremltools\">Core ML Tools</a></b> (🥇27 ·  ⭐ 2.4K · 📈) - Core ML tools contain supporting tools for Core ML model.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/huggingface/accelerate\">accelerate</a></b> (🥇25 ·  ⭐ 2K · 📈) - A simple way to train and use PyTorch models with multi-.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/quantumblacklabs/causalnex\">CausalNex</a></b> (🥈24 ·  ⭐ 1.4K · 📈) - A Python library that helps data scientists to infer.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/trent-b/iterative-stratification\">iterative-stratification</a></b> (🥉22 ·  ⭐ 610 · 📈) - scikit-learn cross validators for iterative.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/aimhubio/aim\">aim</a></b> (🥉20 ·  ⭐ 1.7K · 📈) - Aim an easy-to-use and performant open-source experiment tracker. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n\n## 📉 Trending Down\n\n_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._\n\n- <b><a href=\"https://github.com/matplotlib/matplotlib\">Matplotlib</a></b> (🥇38 ·  ⭐ 15K · 📉) - matplotlib: plotting with Python. <code><a href=\"http://bit.ly/35wkF7y\">Python-2.0</a></code>\n- <b><a href=\"https://github.com/python-pillow/Pillow\">Pillow</a></b> (🥇35 ·  ⭐ 9.1K · 📉) - The friendly PIL fork (Python Imaging Library). <code><a href=\"https://tldrlegal.com/search?q=PIL\">❗️PIL</a></code>\n- <b><a href=\"https://github.com/iterative/dvc\">DVC</a></b> (🥇30 ·  ⭐ 8.9K · 📉) - Data Version Control | Git for Data & Models | ML Experiments.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/python-visualization/folium\">folium</a></b> (🥈29 ·  ⭐ 5.5K · 📉) - Python Data. Leaflet.js Maps. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/wandb/client\">wandb client</a></b> (🥈29 ·  ⭐ 3.5K · 📉) - A tool for visualizing and tracking your machine learning.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/pytorch/fairseq\">fairseq</a></b> (🥈27 ·  ⭐ 15K · 📉) - Facebook AI Research Sequence-to-Sequence Toolkit written in.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/deepmind/sonnet\">Sonnet</a></b> (🥉27 ·  ⭐ 9.1K · 📉) - TensorFlow-based neural network library. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/facebookresearch/detectron2\">detectron2</a></b> (🥈26 ·  ⭐ 19K · 📉) - Detectron2 is FAIR's next-generation platform for object.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/NervanaSystems/neon\">neon</a></b> (🥉19 ·  ⭐ 3.9K · 💀) - Intel Nervana reference deep learning framework committed to best.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/solegalli/feature_engine\">Feature Engine</a></b> (🥉16 ·  ⭐ 5 · 📉) - Feature engineering package with sklearn like functionality. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n\n## ➕ Added Projects\n\n_Projects that were recently added to this best-of list._\n\n- <b><a href=\"https://github.com/fraunhoferportugal/tsfel\">TSFEL</a></b> (🥉20 ·  ⭐ 310 · ➕) - An intuitive library to extract features from time series. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/whylabs/whylogs\">whylogs</a></b> (🥉18 ·  ⭐ 610 · ➕) - Open standard for end-to-end data and ML monitoring for any scale.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n\n"
  },
  {
    "path": "history/2021-12-02_changes.md",
    "content": "## 📈 Trending Up\n\n_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._\n\n- <b><a href=\"https://github.com/pydata/numexpr\">numexpr</a></b> (🥈32 ·  ⭐ 1.7K · 📈) - Fast numerical array expression evaluator for Python, NumPy,.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/xflr6/graphviz\">Graphviz</a></b> (🥈32 ·  ⭐ 1.1K · 📈) - Simple Python interface for Graphviz. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/bukosabino/ta\">ta</a></b> (🥇29 ·  ⭐ 2.6K · 📈) - Technical Analysis Library using Pandas and Numpy. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/Kozea/pygal\">pygal</a></b> (🥇28 ·  ⭐ 2.4K · 📈) - PYthon svg GrAph plotting Library. <code><a href=\"http://bit.ly/37RvQcA\">❗️LGPL-3.0</a></code>\n- <b><a href=\"https://github.com/KevinMusgrave/pytorch-metric-learning\">PML</a></b> (🥇27 ·  ⭐ 3.9K · 📈) - The easiest way to use deep metric learning in your application... <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/aimhubio/aim\">aim</a></b> (🥉22 ·  ⭐ 1.8K · 📈) - Aim an easy-to-use and performant open-source experiment tracker. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/achaiah/pywick\">Pywick</a></b> (🥉20 ·  ⭐ 360 · 📈) - High-level batteries-included neural network training library for.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/online-ml/river\">River</a></b> (🥉19 ·  ⭐ 2.9K · 📈) - Online machine learning in Python. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/caserec/CaseRecommender\">Case Recommender</a></b> (🥉19 ·  ⭐ 370 · 📈) - Case Recommender: A Flexible and Extensible Python.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/AutoViML/featurewiz\">featurewiz</a></b> (🥉19 ·  ⭐ 90 · 📈) - Use advanced feature engineering strategies and select best.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n\n## 📉 Trending Down\n\n_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._\n\n- <b><a href=\"https://github.com/tensorflow/tensorflow\">Tensorflow</a></b> (🥇37 ·  ⭐ 160K · 📉) - An Open Source Machine Learning Framework for Everyone. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/sirfz/tesserocr\">tesserocr</a></b> (🥈26 ·  ⭐ 1.6K · 📉) - A Python wrapper for the tesseract-ocr API. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/ContextLab/hypertools\">HyperTools</a></b> (🥉23 ·  ⭐ 1.7K · 📉) - A Python toolbox for gaining geometric insights into high-.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/rtqichen/torchdiffeq\">torchdiffeq</a></b> (🥈22 ·  ⭐ 3.8K · 📉) - Differentiable ODE solvers with full GPU support and.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/guofei9987/scikit-opt\">scikit-opt</a></b> (🥈22 ·  ⭐ 2.7K · 📉) - Genetic Algorithm, Particle Swarm Optimization, Simulated.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/devsnd/tinytag\">tinytag</a></b> (🥉22 ·  ⭐ 490 · 📉) - Read music meta data and length of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/Accenture/AmpliGraph\">AmpliGraph</a></b> (🥉20 ·  ⭐ 1.6K · 💤) - Python library for Representation Learning on Knowledge.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/philipperemy/keract\">keract</a></b> (🥉20 ·  ⭐ 940 · 📉) - Layers Outputs and Gradients in Keras. Made easy. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/pixelogik/NearPy\">NearPy</a></b> (🥉19 ·  ⭐ 690 · 💀) - Python framework for fast (approximated) nearest neighbour search in.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/facebookincubator/submitit\">Submit it</a></b> (🥉17 ·  ⭐ 510 · 📉) - Python 3.6+ toolbox for submitting jobs to Slurm. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n\n"
  },
  {
    "path": "history/2021-12-02_projects.csv",
    "content": ",name,github_id,resource,category,github_url,homepage,license,created_at,updated_at,last_commit_pushed_at,fork_count,open_issue_count,closed_issue_count,star_count,commit_count,description,contributor_count,projectrank,show,latest_stable_release_published_at,latest_stable_release_number,release_count,pypi_id,conda_id,labels,github_release_downloads,monthly_downloads,dependent_project_count,github_dependent_project_count,pypi_url,pypi_latest_release_published_at,pypi_dependent_project_count,pypi_monthly_downloads,conda_url,conda_latest_release_published_at,conda_total_downloads,projectrank_placing,docs_url,dockerhub_id,dockerhub_url,dockerhub_latest_release_published_at,dockerhub_stars,dockerhub_pulls,trending,helm_id,npm_id,npm_url,npm_latest_release_published_at,npm_dependent_project_count,npm_monthly_downloads,conda_dependent_project_count,brew_id,updated_github_id,apt_id,yum_id,snap_id,dnf_id,yay_id,maven_id,maven_url,maven_latest_release_published_at,maven_dependent_project_count,bitbucket_id\n0,ANN Benchmarks,erikbern/ann-benchmarks,True,nn-search,https://github.com/erikbern/ann-benchmarks,https://github.com/erikbern/ann-benchmarks,MIT,2015-05-28 13:21:43.000000,2021-12-01 21:41:47.000000,2021-11-30 17:46:21.000000,400,37.0,73.0,2632.0,1253.0,Benchmarks of approximate nearest neighbor libraries in Python.,64.0,0,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n1,best-of-web-python - Web Scraping,ml-tooling/best-of-web-python,True,web-scraping,https://github.com/ml-tooling/best-of-web-python,https://github.com/ml-tooling/best-of-web-python#web-scraping--crawling,CC-BY-SA-4.0,2021-01-05 13:09:27.000000,2021-11-25 16:40:18.000000,2021-11-17 18:43:57.000000,93,4.0,2.0,1379.0,,Collection of web-scraping and crawling libraries.,7.0,0,True,2021-11-17 18:45:05.000000,2021.11.17,23.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n2,best-of-python - Data Extraction,ml-tooling/best-of-python,True,data-loading,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-loading--extraction,CC-BY-SA-4.0,2021-01-11 19:11:32.000000,2021-12-02 13:36:56.000000,2021-11-25 16:35:52.000000,136,,4.0,1841.0,,Collection of data-loading and -extraction libraries.,5.0,0,True,2021-11-25 16:35:58.000000,2021.11.25,25.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n3,best-of-python - DB Clients,ml-tooling/best-of-python,True,db-clients,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#database-clients,CC-BY-SA-4.0,2021-01-11 19:11:32.000000,2021-12-02 13:36:56.000000,2021-11-25 16:35:52.000000,136,,4.0,1841.0,,Collection of database clients for python.,5.0,0,True,2021-11-25 16:35:58.000000,2021.11.25,25.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n4,pandas,pandas-dev/pandas,,data-containers,https://github.com/pandas-dev/pandas,https://github.com/pandas-dev/pandas,BSD-3-Clause,2010-08-24 01:37:33.000000,2021-12-02 14:21:27.000000,2021-12-02 02:02:05.000000,13512,3538.0,18285.0,31854.0,28345.0,\"Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R..\",2860.0,43,True,2021-10-17 16:42:57.000000,1.3.4,98.0,pandas,conda-forge/pandas,['pandas'],127941.0,53264954.0,661649.0,584865.0,https://pypi.org/project/pandas,2021-10-17 16:42:57.000000,76784.0,52942387.0,https://anaconda.org/conda-forge/pandas,2021-11-06 20:35:19.852000,21521855.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n5,scipy,scipy/scipy,,others,https://github.com/scipy/scipy,https://github.com/scipy/scipy,BSD-3-Clause,2011-03-09 18:52:03.000000,2021-12-02 12:50:38.000000,2021-12-02 11:19:51.000000,3981,1833.0,6269.0,8897.0,26776.0,\"Ecosystem of open-source software for mathematics, science, and engineering.\",1200.0,42,True,2021-11-24 18:44:51.000000,1.7.3,69.0,scipy,conda-forge/scipy,,332806.0,25509877.0,516331.0,429469.0,https://pypi.org/project/scipy,2021-11-24 16:07:40.000000,86862.0,25212447.0,https://anaconda.org/conda-forge/scipy,2021-11-25 04:00:02.224000,19638274.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n6,Celery,celery/celery,,data-pipelines,https://github.com/celery/celery,https://github.com/celery/celery,BSD-3-Clause,2009-04-24 11:31:24.000000,2021-12-01 18:38:56.000000,2021-11-30 18:56:57.000000,4134,484.0,4140.0,18288.0,11794.0,Asynchronous task queue/job queue based on distributed message passing.,1162.0,40,True,2021-11-16 14:56:22.000000,5.2.1,185.0,celery,conda-forge/celery,,,3642318.0,89673.0,61439.0,https://pypi.org/project/celery,2021-11-16 14:56:13.000000,28234.0,3631327.0,https://anaconda.org/conda-forge/celery,2021-06-29 08:06:51.307000,758407.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n7,PyTorch,pytorch/pytorch,,ml-frameworks,https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41.000000,2021-12-02 14:02:40.000000,2021-12-02 13:03:12.000000,14347,10584.0,16166.0,52481.0,42100.0,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,2985.0,39,True,2021-10-21 15:49:53.000000,1.10.0,36.0,torch,pytorch/pytorch,['pytorch'],471.0,4993685.0,6682.0,,https://pypi.org/project/torch,2021-10-21 14:45:53.000000,6682.0,4705203.0,https://anaconda.org/pytorch/pytorch,2021-10-20 22:42:47.223000,14135306.0,1.0,https://pytorch.org/docs/stable/index.html,,,,,,,,,,,,,,,,,,,,,,,,,\n8,transformers,huggingface/transformers,,nlp,https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000000,2021-12-02 14:05:31.000000,2021-12-02 14:05:31.000000,12830,416.0,7901.0,54933.0,8393.0,\"Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.\",1082.0,38,True,2021-11-17 16:38:32.000000,4.12.5,79.0,transformers,conda-forge/transformers,\"['pytorch', 'tensorflow']\",1416.0,2603882.0,19407.0,19279.0,https://pypi.org/project/transformers,2021-11-17 16:37:50.000000,128.0,2600579.0,https://anaconda.org/conda-forge/transformers,2021-11-17 21:22:29.910000,84901.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n9,XGBoost,dmlc/xgboost,,ml-frameworks,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000000,2021-12-02 00:57:07.000000,2021-11-27 07:22:06.000000,8246,308.0,3965.0,21941.0,5576.0,\"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..\",541.0,38,True,2021-11-24 19:51:13.000000,1.5.1,60.0,xgboost,conda-forge/xgboost,,3430.0,6956505.0,25876.0,24284.0,https://pypi.org/project/xgboost,2021-11-24 19:51:13.000000,1592.0,6919215.0,https://anaconda.org/conda-forge/xgboost,2021-11-20 17:37:18.728000,2123502.0,1.0,https://xgboost.readthedocs.io/en/latest/,,,,,,,,,,,,,,,,,,,,,,,,,\n10,numpy,numpy/numpy,,data-containers,https://github.com/numpy/numpy,https://github.com/numpy/numpy,BSD-3-Clause,2010-09-13 23:02:39.000000,2021-12-02 14:26:11.000000,2021-12-02 14:26:11.000000,6207,2305.0,8072.0,18952.0,,The fundamental package for scientific computing with Python.,1367.0,38,True,2021-11-05 01:42:23.000000,1.21.4,106.0,numpy,conda-forge/numpy,,426175.0,68508896.0,1068849.0,899127.0,https://pypi.org/project/numpy,2021-11-23 19:36:52.000000,169722.0,68104008.0,https://anaconda.org/conda-forge/numpy,2021-11-05 22:05:37.357000,26659434.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n11,Seaborn,mwaskom/seaborn,,data-viz,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000000,2021-11-27 18:58:32.000000,2021-11-27 18:58:32.000000,1489,97.0,1842.0,8968.0,2812.0,Statistical data visualization in Python.,161.0,38,True,2021-08-16 00:39:03.000000,0.11.2,25.0,seaborn,conda-forge/seaborn,,209.0,6472470.0,140206.0,127420.0,https://pypi.org/project/seaborn,2021-08-16 00:42:18.000000,12786.0,6423532.0,https://anaconda.org/conda-forge/seaborn,2021-08-16 06:42:17.619000,3131954.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n12,Tensorflow,tensorflow/tensorflow,,ml-frameworks,https://github.com/tensorflow/tensorflow,https://github.com/tensorflow/tensorflow,Apache-2.0,2015-11-07 01:19:20.000000,2021-12-02 13:48:18.147729,,85871,2811.0,,162945.0,,An Open Source Machine Learning Framework for Everyone.,882.0,37,True,2021-11-04 21:19:34.000000,2.7.0,139.0,tensorflow,conda-forge/tensorflow,['tensorflow'],,11231980.0,22524.0,,https://pypi.org/project/tensorflow,2021-11-04 21:19:34.000000,22524.0,10336995.0,https://anaconda.org/conda-forge/tensorflow,2021-11-22 10:59:19.834000,2925897.0,1.0,https://www.tensorflow.org/overview,tensorflow/tensorflow,https://hub.docker.com/r/tensorflow/tensorflow,2021-12-02 13:48:18.147729,1969.0,62238463.0,-7.0,,,,,,,,,,,,,,,,,,,\n13,scikit-learn,scikit-learn/scikit-learn,,ml-frameworks,https://github.com/scikit-learn/scikit-learn,https://github.com/scikit-learn/scikit-learn,BSD-3-Clause,2010-08-17 09:43:38.000000,2021-12-02 14:05:58.000000,2021-12-02 13:26:37.000000,22237,2467.0,7289.0,48130.0,,scikit-learn: machine learning in Python.,2416.0,37,True,2021-10-25 11:00:07.000000,1.0.1,58.0,scikit-learn,conda-forge/scikit-learn,['sklearn'],755.0,19251840.0,327049.0,289161.0,https://pypi.org/project/scikit-learn,2021-10-25 11:00:07.000000,37888.0,19093746.0,https://anaconda.org/conda-forge/scikit-learn,2021-11-13 11:24:34.144000,10591610.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n14,PySpark,apache/spark,,ml-frameworks,https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08.000000,2021-12-02 13:21:44.000000,2021-12-02 08:47:44.000000,24756,218.0,,31473.0,31812.0,Apache Spark Python API.,2575.0,37,True,2021-10-18 08:17:19.000000,3.2.0,27.0,pyspark,conda-forge/pyspark,['spark'],,11623942.0,760.0,,https://pypi.org/project/pyspark,2021-10-18 08:17:19.000000,760.0,11599861.0,https://anaconda.org/conda-forge/pyspark,2021-10-18 11:47:59.356000,1372660.0,1.0,,,,,,,,stable/spark,,,,,,,,,,,,,,,,,,\n15,spaCy,explosion/spaCy,,nlp,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000000,2021-12-01 01:02:55.000000,2021-11-30 10:58:59.000000,3635,87.0,4851.0,21861.0,15195.0,Industrial-strength Natural Language Processing (NLP) in Python.,642.0,37,True,2021-11-05 15:54:48.000000,3.2.0,186.0,spacy,conda-forge/spacy,,3097.0,2597331.0,35387.0,32321.0,https://pypi.org/project/spacy,2021-11-05 15:49:02.000000,3066.0,2554602.0,https://anaconda.org/conda-forge/spacy,2021-11-08 22:47:56.654000,2475451.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n16,Matplotlib,matplotlib/matplotlib,,data-viz,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,Python-2.0,2011-02-19 03:17:12.000000,2021-12-02 11:02:08.000000,2021-12-01 22:19:29.000000,6155,1699.0,6704.0,14634.0,,matplotlib: plotting with Python.,1309.0,37,True,2021-11-16 07:19:21.000000,3.5.0,72.0,matplotlib,conda-forge/matplotlib,,,21199772.0,545089.0,465985.0,https://pypi.org/project/matplotlib,2021-11-16 05:01:00.000000,79104.0,21060359.0,https://anaconda.org/conda-forge/matplotlib,2021-11-19 09:51:33.352000,10455980.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n17,Arrow,apache/arrow,,data-containers,https://github.com/apache/arrow,https://github.com/apache/arrow,Apache-2.0,2016-02-17 08:00:23.000000,2021-12-02 14:42:21.000000,2021-12-02 14:41:41.000000,2119,190.0,675.0,8752.0,10464.0,Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing.,767.0,37,True,2021-10-26 15:00:11.000000,6.0.0,35.0,pyarrow,conda-forge/arrow,,,25389308.0,1042.0,56.0,https://pypi.org/project/pyarrow,2021-11-18 03:54:39.000000,986.0,25376905.0,https://anaconda.org/conda-forge/arrow,2021-10-26 15:18:02.635000,831043.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n18,SymPy,sympy/sympy,,others,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000000,2021-12-02 15:07:30.000000,2021-12-02 14:36:10.000000,3508,4242.0,7683.0,8647.0,49395.0,A computer algebra system written in pure Python.,1121.0,37,True,2021-10-08 23:27:06.000000,sympy-1.9,39.0,sympy,conda-forge/sympy,,438904.0,1529967.0,43885.0,37463.0,https://pypi.org/project/sympy,2021-10-08 23:29:29.000000,6422.0,1498747.0,https://anaconda.org/conda-forge/sympy,2021-11-06 22:30:34.086000,1800670.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n19,Tensorboard,tensorflow/tensorboard,,ml-experiments,https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000000,2021-12-02 00:49:10.000000,2021-12-01 20:46:38.000000,1451,558.0,1051.0,5706.0,4873.0,TensorFlow's Visualization Toolkit.,274.0,37,True,2021-10-13 16:17:43.000000,2.7.0,39.0,tensorboard,conda-forge/tensorboard,['tensorflow'],,8618724.0,90221.0,86607.0,https://pypi.org/project/tensorboard,2021-10-13 16:17:43.000000,3614.0,8563993.0,https://anaconda.org/conda-forge/tensorboard,2021-11-10 21:16:52.072000,2681827.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n20,OpenAI Gym,openai/gym,,reinforcement-learning,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16.000000,2021-12-02 10:15:53.000000,2021-11-22 21:39:00.000000,7337,118.0,1329.0,25823.0,1437.0,A toolkit for developing and comparing reinforcement learning algorithms.,328.0,36,True,2021-10-06 22:04:25.000000,0.21.0,96.0,gym,,,,793711.0,28316.0,24754.0,https://pypi.org/project/gym,2021-10-06 22:04:25.000000,3562.0,793711.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n21,shap,slundberg/shap,,interpretability,https://github.com/slundberg/shap,https://github.com/slundberg/shap,MIT,2016-11-22 19:17:08.000000,2021-12-01 18:59:05.000000,2021-12-01 18:13:08.000000,2165,1204.0,561.0,14777.0,2010.0,A game theoretic approach to explain the output of any machine learning model.,162.0,36,True,2021-10-20 18:36:57.000000,0.40.0,94.0,shap,conda-forge/shap,,,3372199.0,4048.0,3912.0,https://pypi.org/project/shap,2021-10-20 19:13:31.000000,136.0,3354487.0,https://anaconda.org/conda-forge/shap,2021-10-24 14:05:16.285000,708493.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n22,LightGBM,microsoft/LightGBM,,ml-frameworks,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000000,2021-12-02 13:56:58.000000,2021-12-02 04:56:01.000000,3433,163.0,2336.0,13237.0,2793.0,\"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..\",246.0,36,True,2021-10-27 23:58:39.000000,3.3.1,27.0,lightgbm,conda-forge/lightgbm,,128928.0,8904772.0,10640.0,10084.0,https://pypi.org/project/lightgbm,2021-10-27 23:58:39.000000,556.0,8887003.0,https://anaconda.org/conda-forge/lightgbm,2021-11-20 15:50:31.621000,819760.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n23,gensim,RaRe-Technologies/gensim,,nlp,https://github.com/RaRe-Technologies/gensim,https://github.com/RaRe-Technologies/gensim,LGPL-2.1,2011-02-10 07:43:04.000000,2021-11-26 13:49:23.000000,2021-10-28 01:18:52.000000,4094,380.0,1357.0,12702.0,4263.0,Topic Modelling for Humans.,411.0,36,True,2021-09-18 14:21:47.000000,4.1.2,89.0,gensim,conda-forge/gensim,,3501.0,8174336.0,33445.0,28703.0,https://pypi.org/project/gensim,2021-09-17 00:24:57.000000,4742.0,8159566.0,https://anaconda.org/conda-forge/gensim,2021-11-09 13:39:50.380000,750889.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n24,Plotly,plotly/plotly.py,,data-viz,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000000,2021-12-01 21:16:57.000000,2021-11-23 16:09:16.000000,2035,1005.0,1150.0,10621.0,5318.0,The interactive graphing library for Python (includes Plotly Express).,189.0,36,True,2021-11-15 14:40:20.000000,5.4.0,275.0,plotly,conda-forge/plotly,,,7398240.0,4991.0,5.0,https://pypi.org/project/plotly,2021-11-15 14:39:00.000000,4982.0,7307938.0,https://anaconda.org/conda-forge/plotly,2021-11-15 16:33:27.242000,2099654.0,1.0,,,,,,,,,plotlywidget,https://www.npmjs.com/package/plotlywidget,2021-01-12 16:09:46.133000,4.0,57495.0,,,,,,,,,,,,,\n25,h5py,h5py/h5py,,data-containers,https://github.com/h5py/h5py,https://github.com/h5py/h5py,BSD-3-Clause,2012-09-21 00:40:02.000000,2021-11-26 22:25:41.747000,2021-11-24 11:35:21.000000,431,221.0,1051.0,1621.0,3843.0,HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.,172.0,36,True,2021-11-16 09:55:10.000000,3.6.0,31.0,h5py,conda-forge/h5py,,1605.0,8404868.0,163812.0,140876.0,https://pypi.org/project/h5py,2021-11-16 13:35:22.000000,22936.0,8307552.0,https://anaconda.org/conda-forge/h5py,2021-11-26 22:25:41.747000,6712874.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n26,pytorch-lightning,PyTorchLightning/pytorch-lightning,,ml-frameworks,https://github.com/PyTorchLightning/pytorch-lightning,https://github.com/PyTorchLightning/pytorch-lightning,Apache-2.0,2019-03-31 00:45:57.000000,2021-12-02 12:09:59.000000,2021-12-02 11:46:57.000000,2004,441.0,3897.0,16415.0,6178.0,\"The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.\",581.0,35,True,2021-11-30 14:52:17.000000,1.5.4,197.0,pytorch-lightning,conda-forge/pytorch-lightning,['pytorch'],4773.0,654473.0,5783.0,5769.0,https://pypi.org/project/pytorch-lightning,2021-11-30 14:52:17.000000,14.0,633161.0,https://anaconda.org/conda-forge/pytorch-lightning,2021-11-30 21:51:35.151000,380672.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n27,onnx,onnx/onnx,,model-serialisation,https://github.com/onnx/onnx,https://github.com/onnx/onnx,Apache-2.0,2017-09-07 04:53:45.000000,2021-12-01 23:27:00.000000,2021-11-22 22:40:13.000000,2215,481.0,1300.0,11750.0,1855.0,Open standard for machine learning interoperability.,215.0,35,True,2021-10-26 19:14:09.000000,1.10.2,24.0,onnx,conda-forge/onnx,,17247.0,1151635.0,5123.0,4827.0,https://pypi.org/project/onnx,2021-10-26 19:14:09.000000,296.0,1144745.0,https://anaconda.org/conda-forge/onnx,2021-10-24 18:06:22.378000,320783.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n28,nltk,nltk/nltk,,nlp,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58.000000,2021-12-02 09:37:17.000000,2021-11-29 08:07:24.000000,2513,220.0,1357.0,10275.0,,Suite of libraries and programs for symbolic and statistical natural language processing for English.,411.0,35,True,2021-10-11 03:49:05.000000,3.6.5,45.0,nltk,conda-forge/nltk,,,7133509.0,143374.0,122382.0,https://pypi.org/project/nltk,2021-10-11 03:49:05.000000,20992.0,7116826.0,https://anaconda.org/conda-forge/nltk,2021-10-11 12:28:19.966000,1067749.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n29,networkx,networkx/networkx,,graph,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44.000000,2021-11-25 03:56:10.000000,2021-11-25 03:56:09.000000,2431,317.0,2449.0,9978.0,,Network Analysis in Python.,554.0,35,True,2021-09-09 22:09:39.000000,2.6.3,59.0,networkx,conda-forge/networkx,,57.0,13979770.0,112558.0,91740.0,https://pypi.org/project/networkx,2021-09-09 22:09:39.000000,20818.0,13897616.0,https://anaconda.org/conda-forge/networkx,2021-10-26 12:59:30.009000,5093601.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n30,Theano,Theano/Theano,,ml-frameworks,https://github.com/Theano/Theano,https://github.com/Theano/Theano,BSD-3-Clause,2011-08-10 03:48:06.000000,2021-12-01 00:24:43.000000,2021-11-23 08:52:10.000000,2509,679.0,2086.0,9500.0,28127.0,\"Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving..\",384.0,35,True,2020-07-27 16:13:54.000000,1.0.5,45.0,theano,conda-forge/theano,,,200774.0,17315.0,11841.0,https://pypi.org/project/theano,2020-07-27 16:13:54.000000,5474.0,173356.0,https://anaconda.org/conda-forge/theano,2021-11-10 16:59:17.809000,1782219.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n31,Pillow,python-pillow/Pillow,,image,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000000,2021-12-02 00:15:17.000000,2021-11-27 08:28:37.000000,1733,174.0,2194.0,9197.0,,The friendly PIL fork (Python Imaging Library).,374.0,35,True,2021-10-15 08:16:09.000000,8.4.0,84.0,Pillow,conda-forge/pillow,,,27069505.0,111426.0,,https://pypi.org/project/Pillow,2021-10-15 08:10:15.000000,111426.0,26897425.0,https://anaconda.org/conda-forge/pillow,2021-11-10 16:07:31.860000,11701484.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n32,luigi,spotify/luigi,,data-pipelines,https://github.com/spotify/luigi,https://github.com/spotify/luigi,Apache-2.0,2012-09-20 15:06:38.000000,2021-12-01 15:18:56.000000,2021-11-27 16:59:30.000000,2303,92.0,850.0,15172.0,4011.0,\"Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution,..\",568.0,34,True,2021-11-06 14:59:15.000000,3.0.3,72.0,luigi,luigi,,,568894.0,2276.0,1600.0,https://pypi.org/project/luigi,2020-09-23 11:57:12.000000,676.0,568774.0,https://anaconda.org/anaconda/luigi,2021-04-17 18:49:18.708000,8420.0,1.0,,,,,,,,stable/luigi,,,,,,0.0,,,,,,,,,,,,\n33,pydeck,visgl/deck.gl,,geospatial-data,https://github.com/visgl/deck.gl,https://github.com/visgl/deck.gl,MIT,2015-12-15 08:38:29.000000,2021-12-02 14:33:01.000000,2021-12-02 14:10:01.000000,1676,138.0,2184.0,9254.0,3863.0,WebGL2 powered visualization framework.,183.0,34,True,2021-11-14 22:51:34.270000,8.6.4,503.0,pydeck,conda-forge/pydeck,['jupyter'],,726578.0,2532.0,1970.0,https://pypi.org/project/pydeck,2021-10-25 17:38:40.000000,2.0,497065.0,https://anaconda.org/conda-forge/pydeck,2021-10-26 00:42:05.329000,62033.0,1.0,,,,,,,,,deck.gl,https://www.npmjs.com/package/deck.gl,2021-11-25 18:58:27.006000,560.0,226694.0,,,,,,,,,,,,,\n34,dask,dask/dask,,distributed-ml,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000000,2021-12-02 14:33:59.000000,2021-11-30 02:55:09.000000,1391,740.0,3351.0,9239.0,,Parallel computing with task scheduling.,488.0,34,True,2021-11-19 20:18:29.000000,2021.11.2,132.0,dask,conda-forge/dask,,,6277054.0,35908.0,31992.0,https://pypi.org/project/dask,2021-11-19 20:18:29.000000,3916.0,6207742.0,https://anaconda.org/conda-forge/dask,2021-11-20 05:27:05.139000,4643954.0,1.0,,,,,,,,stable/dask,,,,,,,,,,,,,,,,,,\n35,scikit-image,scikit-image/scikit-image,,image,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,BSD-2-Clause,2011-07-07 22:07:20.000000,2021-12-02 04:57:34.000000,2021-12-02 03:41:46.000000,1915,310.0,2003.0,4656.0,,Image processing in Python.,535.0,34,True,2021-08-24 18:20:04.000000,0.18.3,40.0,scikit-image,conda-forge/scikit-image,,,5783934.0,101723.0,86949.0,https://pypi.org/project/scikit-image,2021-11-22 06:24:01.000000,14774.0,5738558.0,https://anaconda.org/conda-forge/scikit-image,2021-12-01 16:53:56.975000,3040229.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n36,joblib,joblib/joblib,,data-pipelines,https://github.com/joblib/joblib,https://github.com/joblib/joblib,BSD-3-Clause,2010-05-07 06:48:26.000000,2021-11-08 20:50:44.000000,2021-11-08 20:50:44.000000,315,332.0,376.0,2618.0,1385.0,Computing with Python functions.,106.0,34,True,2021-02-09 16:46:29.000000,1.0.1,102.0,joblib,conda-forge/joblib,,,21512264.0,152279.0,145669.0,https://pypi.org/project/joblib,2021-10-07 14:42:42.000000,6610.0,21414935.0,https://anaconda.org/conda-forge/joblib,2021-10-07 20:15:36.705000,6326436.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n37,TF Addons,tensorflow/addons,,tensorflow-utils,https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17.000000,2021-12-01 22:51:07.000000,2021-11-20 15:16:46.000000,480,218.0,691.0,1422.0,1419.0,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,182.0,34,True,2021-11-10 21:09:55.000000,0.15.0,28.0,tensorflow-addons,,['tensorflow'],,5894634.0,4777.0,4759.0,https://pypi.org/project/tensorflow-addons,2021-11-10 21:40:18.000000,18.0,5894634.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n38,MXNet,apache/incubator-mxnet,,ml-frameworks,https://github.com/apache/incubator-mxnet,https://github.com/apache/incubator-mxnet,Apache-2.0,2015-04-30 16:21:15.000000,2021-12-02 12:47:06.000000,2021-12-02 12:47:06.000000,6875,1944.0,7690.0,19771.0,11749.0,\"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..\",971.0,33,True,2021-03-21 14:56:00.000000,1.8.0,980.0,mxnet,mxnet,['mxnet'],24275.0,492386.0,444.0,,https://pypi.org/project/mxnet,2021-03-31 20:05:38.000000,444.0,491883.0,https://anaconda.org/anaconda/mxnet,2020-02-29 00:58:31.007000,6798.0,2.0,,,,,,,,,,,,,,0.0,,,,,,,,,,,,\n39,Bokeh,bokeh/bokeh,,data-viz,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000000,2021-12-02 03:21:53.000000,2021-11-30 04:17:53.000000,3826,705.0,6084.0,15759.0,,\"Interactive Data Visualization in the browser, from Python.\",583.0,33,True,2021-11-22 17:49:14.000000,2.4.2,115.0,bokeh,conda-forge/bokeh,,,1711877.0,47314.0,41442.0,https://pypi.org/project/bokeh,2021-11-22 17:49:14.000000,5872.0,1602464.0,https://anaconda.org/conda-forge/bokeh,2021-11-22 21:24:20.205000,6127147.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n40,dash,plotly/dash,,data-viz,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000000,2021-11-29 19:39:00.000000,2021-11-17 13:37:24.000000,1589,541.0,613.0,15495.0,5518.0,\"Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.\",101.0,33,True,2021-09-04 01:00:46.000000,2.0.0,142.0,dash,conda-forge/dash,,,696931.0,1762.0,154.0,https://pypi.org/project/dash,2021-09-04 00:32:40.000000,1608.0,689262.0,https://anaconda.org/conda-forge/dash,2021-09-21 14:47:05.413000,329799.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n41,mlflow,mlflow/mlflow,,ml-experiments,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000000,2021-12-02 14:46:54.000000,2021-12-02 11:52:36.000000,2397,946.0,1165.0,10803.0,2385.0,Open source platform for the machine learning lifecycle.,339.0,33,True,2021-11-30 01:37:44.000000,1.22.0,52.0,mlflow,conda-forge/mlflow,,,11268112.0,154.0,,https://pypi.org/project/mlflow,2021-11-30 00:54:31.000000,154.0,11254106.0,https://anaconda.org/conda-forge/mlflow,2021-11-30 08:15:18.947000,448219.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n42,dlib,davisking/dlib,,ml-frameworks,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000000,2021-11-25 15:37:13.000000,2021-11-25 15:37:13.000000,2987,36.0,1930.0,10741.0,7992.0,A toolkit for making real world machine learning and data analysis applications in C++.,171.0,33,False,2021-08-14 14:21:18.000000,19.22.1,29.0,dlib,conda-forge/dlib,,24802.0,98761.0,13639.0,12281.0,https://pypi.org/project/dlib,2021-08-14 14:21:18.000000,1358.0,92502.0,https://anaconda.org/conda-forge/dlib,2021-04-03 09:47:47.788000,374348.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n43,pandas-profiling,pandas-profiling/pandas-profiling,,data-viz,https://github.com/pandas-profiling/pandas-profiling,https://github.com/pandas-profiling/pandas-profiling,MIT,2016-01-09 23:47:55.000000,2021-12-01 15:36:51.000000,2021-11-25 17:52:32.000000,1194,94.0,432.0,8269.0,922.0,Create HTML profiling reports from pandas DataFrame objects.,82.0,33,True,2021-09-27 23:12:22.000000,3.1.0,31.0,pandas-profiling,conda-forge/pandas-profiling,\"['jupyter', 'pandas']\",,2691887.0,6083.0,5923.0,https://pypi.org/project/pandas-profiling,2021-09-27 23:12:22.000000,160.0,2689088.0,https://anaconda.org/conda-forge/pandas-profiling,2021-09-28 13:50:05.966000,179170.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n44,StatsModels,statsmodels/statsmodels,,ml-frameworks,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000000,2021-12-02 13:35:22.000000,2021-12-02 13:35:22.000000,2358,2216.0,2437.0,6890.0,,Statsmodels: statistical modeling and econometrics in Python.,346.0,33,True,2021-11-12 23:27:25.000000,0.13.1,28.0,statsmodels,conda-forge/statsmodels,,26.0,5613737.0,60489.0,53833.0,https://pypi.org/project/statsmodels,2021-11-12 23:27:25.000000,6656.0,5532746.0,https://anaconda.org/conda-forge/statsmodels,2021-11-13 01:23:06.115000,5345410.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n45,Optuna,optuna/optuna,,hyperopt,https://github.com/optuna/optuna,https://github.com/optuna/optuna,MIT,2018-02-21 06:12:56.000000,2021-12-02 07:30:53.000000,2021-12-02 07:30:53.000000,610,142.0,877.0,5588.0,11040.0,A hyperparameter optimization framework.,167.0,33,True,2021-10-04 06:37:16.000000,2.10.0,41.0,optuna,conda-forge/optuna,,,724091.0,2320.0,2268.0,https://pypi.org/project/optuna,2021-10-04 06:37:16.000000,52.0,722199.0,https://anaconda.org/conda-forge/optuna,2021-10-04 08:58:48.864000,47303.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n46,Beam,apache/beam,,data-pipelines,https://github.com/apache/beam,https://github.com/apache/beam,Apache-2.0,2016-02-02 08:00:06.000000,2021-12-02 14:40:18.000000,2021-12-02 14:03:55.000000,3269,189.0,,5120.0,33749.0,\"Unified programming model to define and execute data processing pipelines, including ETL, batch and stream processing.\",1177.0,33,True,2021-11-11 20:03:02.000000,2.34.0,45.0,apache-beam,,,,2300532.0,186.0,,https://pypi.org/project/apache-beam,2021-11-11 18:47:17.000000,186.0,2300532.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n47,GeoPandas,geopandas/geopandas,,geospatial-data,https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000000,2021-12-02 14:07:41.000000,2021-11-27 14:06:14.000000,648,403.0,828.0,2892.0,1501.0,Python tools for geographic data.,156.0,33,True,2021-10-16 06:59:55.000000,0.10.2,40.0,geopandas,conda-forge/geopandas,['pandas'],1283.0,1422723.0,12276.0,11110.0,https://pypi.org/project/geopandas,2021-10-16 06:59:50.000000,1166.0,1404787.0,https://anaconda.org/conda-forge/geopandas,2021-12-01 18:19:27.710000,1236293.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n48,Thinc,explosion/thinc,,ml-frameworks,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59.000000,2021-11-23 12:33:17.000000,2021-11-08 07:50:00.000000,223,18.0,97.0,2412.0,5003.0,\"A refreshing functional take on deep learning, compatible with your favorite libraries.\",42.0,33,True,2021-11-05 12:27:02.000000,8.0.13,199.0,thinc,conda-forge/thinc,,,2435188.0,18590.0,17452.0,https://pypi.org/project/thinc,2021-11-05 12:27:02.000000,1138.0,2405252.0,https://anaconda.org/conda-forge/thinc,2021-10-29 09:02:13.534000,1736344.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n49,imageio,imageio/imageio,,image,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000000,2021-12-02 08:49:30.453000,2021-12-01 04:54:00.000000,191,69.0,328.0,956.0,1303.0,Python library for reading and writing image data.,83.0,33,True,2021-12-01 04:54:15.000000,2.13.1,41.0,imageio,conda-forge/imageio,,21.0,7596807.0,55822.0,51984.0,https://pypi.org/project/imageio,2021-12-01 04:54:12.000000,3838.0,7556316.0,https://anaconda.org/conda-forge/imageio,2021-12-02 08:49:30.453000,2388982.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n50,Airflow,apache/airflow,,data-pipelines,https://github.com/apache/airflow,https://github.com/apache/airflow,Apache-2.0,2015-04-13 18:04:58.000000,2021-12-02 15:20:11.000000,2021-12-01 19:29:40.000000,9657,937.0,3713.0,24235.0,,\"Platform to programmatically author, schedule, and monitor workflows.\",2162.0,32,True,2021-11-15 18:37:15.000000,2.2.2,97.0,apache-airflow,conda-forge/airflow,,213393.0,3260582.0,294.0,,https://pypi.org/project/apache-airflow,2021-11-15 16:45:23.000000,294.0,2585549.0,https://anaconda.org/conda-forge/airflow,2021-11-15 23:14:59.448000,496149.0,1.0,,apache/airflow,https://hub.docker.com/r/apache/airflow,2021-11-16 16:55:54.259054,304.0,53056551.0,,stable/airflow,,,,,,,,,,,,,,,,,,\n51,Fastai,fastai/fastai,,ml-frameworks,https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000000,2021-11-29 12:45:30.000000,2021-11-29 01:25:55.000000,7126,96.0,1442.0,21675.0,1851.0,The fastai deep learning library.,605.0,32,True,2021-10-23 07:16:08.000000,2.5.3,126.0,fastai,,['pytorch'],,332172.0,368.0,,https://pypi.org/project/fastai,2021-10-23 07:16:08.000000,368.0,332172.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n52,Ray,ray-project/ray,,distributed-ml,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000000,2021-12-02 14:56:59.000000,2021-12-02 12:17:10.000000,3068,2108.0,6711.0,18351.0,10595.0,\"An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged..\",596.0,32,True,2021-11-02 18:33:14.000000,ray-1.8.0,59.0,ray,,,,580217.0,160.0,,https://pypi.org/project/ray,2021-11-25 06:50:56.000000,160.0,580217.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n53,PaddlePaddle,PaddlePaddle/Paddle,,ml-frameworks,https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000000,2021-12-02 14:04:55.000000,2021-12-02 13:15:57.000000,4158,2798.0,11828.0,17099.0,15069.0,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,666.0,32,True,2021-12-02 06:01:39.000000,2.2.1,51.0,paddlepaddle,,['paddle'],15306.0,72142.0,96.0,80.0,https://pypi.org/project/paddlepaddle,2021-12-02 06:01:39.000000,16.0,71903.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n54,imgaug,aleju/imgaug,,image,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33.000000,2021-10-27 15:54:07.000000,2020-06-01 14:58:26.000000,2146,255.0,219.0,12044.0,2913.0,Image augmentation for machine learning experiments.,36.0,32,False,2020-02-06 06:18:40.000000,0.4.0,11.0,imgaug,conda-forge/imgaug,,,202610.0,8843.0,8287.0,https://pypi.org/project/imgaug,2020-02-05 20:54:22.000000,556.0,200673.0,https://anaconda.org/conda-forge/imgaug,2020-02-14 16:06:53.525000,58124.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n55,tensor2tensor,tensorflow/tensor2tensor,,tensorflow-utils,https://github.com/tensorflow/tensor2tensor,https://github.com/tensorflow/tensor2tensor,Apache-2.0,2017-06-15 16:57:39.000000,2021-11-05 20:07:42.000000,2021-11-05 20:07:41.000000,2929,563.0,668.0,11817.0,4360.0,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,235.0,32,True,2020-06-17 16:15:36.000000,1.15.7,79.0,tensor2tensor,,['tensorflow'],,255821.0,1243.0,1079.0,https://pypi.org/project/tensor2tensor,2020-06-17 16:15:36.000000,164.0,255821.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n56,pyecharts,pyecharts/pyecharts,,data-viz,https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000000,2021-11-16 07:17:28.000000,2021-11-16 06:25:52.000000,2559,24.0,1487.0,11736.0,1522.0,Python Echarts Plotting Library.,30.0,32,True,2021-11-16 06:27:35.000000,1.9.1,67.0,pyecharts,,['jupyter'],,65687.0,2208.0,1926.0,https://pypi.org/project/pyecharts,2021-11-16 06:27:35.000000,282.0,65687.0,,,,2.0,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,,,,,,,,,,,,,,,,,,,,,,,,,\n57,flair,flairNLP/flair,,nlp,https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,MIT,2018-06-11 11:04:18.000000,2021-12-02 13:12:26.000000,2021-12-01 20:25:52.000000,1769,88.0,1612.0,11014.0,3979.0,A very simple framework for state-of-the-art Natural Language Processing (NLP).,214.0,32,True,2021-11-18 08:33:59.000000,0.10,23.0,flair,,['pytorch'],,62597.0,1107.0,1059.0,https://pypi.org/project/flair,2021-11-18 08:22:02.000000,48.0,62597.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n58,AllenNLP,allenai/allennlp,,nlp,https://github.com/allenai/allennlp,https://github.com/allenai/allennlp,Apache-2.0,2017-05-15 15:52:41.000000,2021-12-01 01:57:34.000000,2021-12-01 01:54:31.000000,2144,108.0,2367.0,10651.0,2357.0,\"An open-source NLP research library, built on PyTorch.\",253.0,32,True,2021-11-01 21:44:06.000000,2.8.0,236.0,allennlp,,['pytorch'],43.0,32780.0,2338.0,2104.0,https://pypi.org/project/allennlp,2021-11-01 21:44:06.000000,234.0,32780.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n59,torchvision,pytorch/vision,,image,https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000000,2021-12-02 14:04:49.000000,2021-12-02 10:08:01.000000,5283,568.0,1526.0,10411.0,,\"Datasets, Transforms and Models specific to Computer Vision.\",442.0,32,True,2021-10-21 16:58:04.000000,0.11.1,27.0,torchvision,conda-forge/torchvision,['pytorch'],,2640460.0,4612.0,,https://pypi.org/project/torchvision,2021-10-21 16:53:30.000000,4612.0,2637319.0,https://anaconda.org/conda-forge/torchvision,2021-09-27 23:35:13.750000,150794.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n60,Albumentations,albumentations-team/albumentations,,image,https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000000,2021-12-02 01:20:26.000000,2021-12-01 07:15:37.000000,1167,239.0,323.0,9254.0,687.0,Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation:..,98.0,32,True,2021-10-04 09:30:33.000000,1.1.0,49.0,albumentations,conda-forge/albumentations,['pytorch'],,167685.0,5985.0,5857.0,https://pypi.org/project/albumentations,2021-10-04 09:30:33.000000,128.0,166740.0,https://anaconda.org/conda-forge/albumentations,2021-07-15 13:53:18.638000,28350.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n61,MoviePy,Zulko/moviepy,,image,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000000,2021-11-14 16:13:10.000000,2021-11-12 17:14:13.000000,1163,340.0,763.0,8758.0,1072.0,Video editing with Python.,144.0,32,True,2020-05-07 16:29:35.000000,1.0.3,84.0,moviepy,conda-forge/moviepy,,,1211176.0,13070.0,11940.0,https://pypi.org/project/moviepy,2020-10-05 00:26:29.000000,1130.0,1209325.0,https://anaconda.org/conda-forge/moviepy,2020-02-23 19:57:49.975000,98132.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n62,rq,rq/rq,,data-pipelines,https://github.com/rq/rq,https://github.com/rq/rq,BSD-3-Clause,2011-11-14 10:53:48.000000,2021-12-02 00:47:47.000000,2021-12-02 00:47:43.000000,1254,169.0,767.0,8024.0,1613.0,Simple job queues for Python.,247.0,32,True,2021-09-09 11:33:34.000000,1.10,67.0,rq,conda-forge/rq,,,380297.0,12493.0,9169.0,https://pypi.org/project/rq,2021-09-09 11:32:32.000000,3324.0,379300.0,https://anaconda.org/conda-forge/rq,2021-06-30 09:49:43.099000,64813.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n63,TextBlob,sloria/TextBlob,,nlp,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18.000000,2021-10-22 03:18:24.000000,2021-10-22 03:17:05.000000,1042,97.0,154.0,7960.0,535.0,\"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..\",35.0,32,True,2021-10-22 03:18:24.000000,0.17.1,57.0,textblob,conda-forge/textblob,,97.0,619790.0,18407.0,15915.0,https://pypi.org/project/textblob,2021-10-22 03:18:24.000000,2492.0,617534.0,https://anaconda.org/conda-forge/textblob,2019-02-24 23:32:55.233000,144443.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n64,Altair,altair-viz/altair,,data-viz,https://github.com/altair-viz/altair,https://github.com/altair-viz/altair,BSD-3-Clause,2015-09-19 03:14:04.000000,2021-11-28 01:21:40.000000,2021-11-19 14:06:58.000000,630,240.0,1344.0,7074.0,3097.0,Declarative statistical visualization library for Python.,133.0,32,True,2020-04-01 13:29:16.000000,4.1.0,27.0,altair,conda-forge/altair,,,2853875.0,19172.0,18802.0,https://pypi.org/project/altair,2021-11-19 14:11:43.000000,370.0,2837964.0,https://anaconda.org/conda-forge/altair,2020-04-01 16:49:36.519000,1034236.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n65,Hyperopt,hyperopt/hyperopt,,hyperopt,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59.000000,2021-11-30 14:23:20.000000,2021-11-29 10:21:36.000000,924,353.0,230.0,5965.0,1194.0,Distributed Asynchronous Hyperparameter Optimization in Python.,93.0,32,True,2021-11-17 10:05:44.000000,0.2.7,13.0,hyperopt,conda-forge/hyperopt,,,1311923.0,5794.0,5290.0,https://pypi.org/project/hyperopt,2021-11-17 10:05:44.000000,504.0,1304296.0,https://anaconda.org/conda-forge/hyperopt,2020-10-14 07:57:14.292000,297490.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n66,imbalanced-learn,scikit-learn-contrib/imbalanced-learn,,sklearn-utils,https://github.com/scikit-learn-contrib/imbalanced-learn,https://github.com/scikit-learn-contrib/imbalanced-learn,MIT,2014-08-16 05:08:26.000000,2021-11-27 15:30:48.000000,2021-11-27 15:30:48.000000,1131,56.0,436.0,5596.0,746.0,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,58.0,32,True,2021-09-29 13:11:34.000000,0.8.1,28.0,imbalanced-learn,conda-forge/imbalanced-learn,['sklearn'],,1907892.0,8472.0,8192.0,https://pypi.org/project/imbalanced-learn,2021-09-29 12:58:22.000000,280.0,1904456.0,https://anaconda.org/conda-forge/imbalanced-learn,2021-09-29 14:10:14.261000,171800.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n67,CuPy,cupy/cupy,,gpu-utilities,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000000,2021-12-02 15:18:56.000000,2021-12-02 15:18:56.000000,514,362.0,1252.0,5577.0,23998.0,NumPy & SciPy for GPU.,285.0,32,True,2021-11-11 07:02:21.000000,9.6.0,104.0,cupy,conda-forge/cupy,,22928.0,126153.0,1074.0,882.0,https://pypi.org/project/cupy,2021-11-10 08:22:49.000000,192.0,84355.0,https://anaconda.org/conda-forge/cupy,2021-11-12 15:11:06.183000,1052824.0,1.0,,cupy/cupy,https://hub.docker.com/r/cupy/cupy,2021-11-11 07:05:26.114315,7.0,53298.0,,,,,,,,,,,,,,,,,,,,\n68,UMAP,lmcinnes/umap,,data-viz,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17.000000,2021-11-30 16:21:33.000000,2021-11-30 16:21:33.000000,586,303.0,285.0,5230.0,1504.0,Uniform Manifold Approximation and Projection.,94.0,32,True,2021-10-29 16:33:56.000000,0.5.2,36.0,umap-learn,,,,1258592.0,4346.0,4120.0,https://pypi.org/project/umap-learn,2021-10-29 16:33:56.000000,226.0,1258592.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n69,MLxtend,rasbt/mlxtend,,sklearn-utils,https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16.000000,2021-11-29 20:19:30.000000,2021-11-29 20:19:30.000000,729,99.0,295.0,3706.0,1249.0,A library of extension and helper modules for Python's data analysis and machine learning libraries.,85.0,32,True,2021-09-03 00:02:55.000000,0.19.0,47.0,mlxtend,conda-forge/mlxtend,['sklearn'],,1067885.0,4851.0,4661.0,https://pypi.org/project/mlxtend,2021-09-03 00:02:55.000000,190.0,1064310.0,https://anaconda.org/conda-forge/mlxtend,2021-09-03 13:27:33.719000,189500.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n70,geopy,geopy/geopy,,geospatial-data,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000000,2021-11-08 14:42:04.000000,2021-09-26 10:28:21.000000,555,24.0,227.0,3493.0,1072.0,Geocoding library for Python.,123.0,32,True,2021-07-11 12:18:10.000000,2.2.0,58.0,geopy,conda-forge/geopy,,,2367155.0,37088.0,29844.0,https://pypi.org/project/geopy,2021-07-11 12:15:26.000000,7244.0,2358075.0,https://anaconda.org/conda-forge/geopy,2021-07-12 18:34:05.605000,626586.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n71,numexpr,pydata/numexpr,,data-containers,https://github.com/pydata/numexpr,https://github.com/pydata/numexpr,MIT,2013-11-30 22:33:48.000000,2021-12-02 06:09:52.000000,2021-12-02 06:09:51.000000,174,60.0,256.0,1682.0,696.0,\"Fast numerical array expression evaluator for Python, NumPy, PyTables, pandas, bcolz and more.\",59.0,32,True,2021-12-02 06:01:02.000000,2.8.0,41.0,numexpr,conda-forge/numexpr,,,1461979.0,41320.0,35838.0,https://pypi.org/project/numexpr,2021-12-02 06:01:02.000000,5482.0,1410022.0,https://anaconda.org/conda-forge/numexpr,2021-11-16 18:28:45.809000,3325282.0,2.0,,,,,,,1.0,,,,,,,,,,,,,,,,,,,\n72,SageMaker SDK,aws/sagemaker-python-sdk,,ml-experiments,https://github.com/aws/sagemaker-python-sdk,https://github.com/aws/sagemaker-python-sdk,Apache-2.0,2017-11-14 01:03:33.000000,2021-12-02 13:00:54.000000,2021-11-23 18:22:34.000000,715,316.0,636.0,1515.0,2280.0,A library for training and deploying machine learning models on Amazon SageMaker.,233.0,32,True,2021-12-02 06:12:11.000000,2.70.0,393.0,sagemaker,,\"['mxnet', 'tensorflow']\",,1429225.0,985.0,957.0,https://pypi.org/project/sagemaker,2021-12-02 06:12:11.000000,28.0,1429225.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n73,dask.distributed,dask/distributed,,distributed-ml,https://github.com/dask/distributed,https://github.com/dask/distributed,BSD-3-Clause,2015-09-13 18:42:29.000000,2021-12-02 14:19:16.000000,2021-11-30 15:00:55.000000,573,874.0,1639.0,1277.0,,A distributed task scheduler for Dask.,256.0,32,True,2021-11-08 17:52:26.000000,2021.11.1,163.0,distributed,conda-forge/distributed,,,6530406.0,22927.0,21149.0,https://pypi.org/project/distributed,2021-11-19 20:18:31.000000,1778.0,6443146.0,https://anaconda.org/conda-forge/distributed,2021-11-20 03:39:26.127000,5846437.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n74,Graphviz,xflr6/graphviz,,data-viz,https://github.com/xflr6/graphviz,https://github.com/xflr6/graphviz,MIT,2014-01-12 17:49:29.000000,2021-12-01 17:21:47.000000,2021-12-01 17:21:40.000000,162,4.0,115.0,1094.0,1100.0,Simple Python interface for Graphviz.,17.0,32,True,2021-11-15 18:30:42.000000,0.18.2,52.0,graphviz,,,,6793799.0,30341.0,25959.0,https://pypi.org/project/graphviz,2021-11-28 19:51:43.000000,4382.0,6793799.0,,,,2.0,,,,,,,1.0,,,,,,,,,,,,,,,,,,,\n75,Keras,keras-team/keras,,ml-frameworks,https://github.com/keras-team/keras,https://github.com/keras-team/keras,Apache-2.0,2015-03-28 00:35:42.000000,2021-12-02 05:56:32.000000,2021-12-02 05:25:28.000000,18898,247.0,10741.0,53330.0,6236.0,Deep Learning for humans.,1005.0,31,True,2021-11-03 16:24:54.000000,2.7.0,58.0,keras,conda-forge/keras,['tensorflow'],,5835838.0,0.0,,https://pypi.org/project/keras,2021-11-03 16:16:34.000000,0.0,5805305.0,https://anaconda.org/conda-forge/keras,2021-11-25 20:30:37.739000,1954157.0,2.0,https://keras.io,,,,,,,,,,,,,,,,,,,,,,,,,\n76,jax,google/jax,,ml-frameworks,https://github.com/google/jax,https://github.com/google/jax,Apache-2.0,2018-10-25 21:25:02.000000,2021-12-02 14:00:03.000000,2021-12-02 11:14:31.000000,1390,924.0,1964.0,15206.0,,\"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.\",339.0,31,True,2021-11-16 20:13:06.000000,jaxlib-v0.1.74,104.0,jax,conda-forge/jaxlib,,,4361397.0,3000.0,2954.0,https://pypi.org/project/jax,2021-11-10 21:36:20.000000,46.0,4353279.0,https://anaconda.org/conda-forge/jaxlib,2021-11-20 03:39:49.053000,235446.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n77,ChatterBot,gunthercox/ChatterBot,,nlp,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00.000000,2021-11-24 23:13:22.000000,2021-06-01 10:43:00.000000,3910,300.0,1246.0,11754.0,1848.0,\"ChatterBot is a machine learning, conversational dialog engine for creating chat bots.\",103.0,31,True,2020-08-22 18:42:43.000000,1.0.8,86.0,chatterbot,,,,29450.0,4692.0,4012.0,https://pypi.org/project/chatterbot,2020-08-22 18:40:36.000000,680.0,29450.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n78,fuzzywuzzy,seatgeek/fuzzywuzzy,,nlp,https://github.com/seatgeek/fuzzywuzzy,https://github.com/seatgeek/fuzzywuzzy,GPL-2.0,2011-07-08 19:32:34.000000,2021-11-02 23:56:01.000000,2021-09-09 20:54:41.000000,858,103.0,102.0,8565.0,384.0,Fuzzy String Matching in Python.,70.0,31,False,2020-02-13 22:14:12.000000,0.18.0,27.0,fuzzywuzzy,conda-forge/fuzzywuzzy,,,4013121.0,13716.0,10510.0,https://pypi.org/project/fuzzywuzzy,2020-02-13 21:06:25.000000,3206.0,4007914.0,https://anaconda.org/conda-forge/fuzzywuzzy,2020-11-18 12:59:01.409000,338503.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n79,wordcloud,amueller/word_cloud,,data-viz,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59.000000,2021-11-19 09:10:54.000000,2021-11-13 00:48:18.000000,2144,110.0,360.0,8446.0,549.0,A little word cloud generator in Python.,64.0,31,True,2020-11-11 21:41:02.000000,1.8.1,16.0,wordcloud,conda-forge/wordcloud,,,538756.0,1104.0,,https://pypi.org/project/wordcloud,2020-11-11 21:41:02.000000,1104.0,534869.0,https://anaconda.org/conda-forge/wordcloud,2021-11-15 20:34:05.364000,248792.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n80,glfw,glfw/glfw,,image,https://github.com/glfw/glfw,https://github.com/glfw/glfw,Zlib,2013-04-18 15:24:53.000000,2021-12-01 20:57:06.000000,2021-12-01 20:13:00.000000,3187,466.0,1055.0,8354.0,4362.0,\"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.\",176.0,31,False,2021-11-07 10:21:30.000000,2.4.0,41.0,glfw,conda-forge/glfw,,2539691.0,88006.0,215.0,1.0,https://pypi.org/project/glfw,2021-11-07 10:21:30.000000,214.0,55438.0,https://anaconda.org/conda-forge/glfw,2021-10-29 00:59:54.298000,41305.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n81,Prefect,PrefectHQ/prefect,,data-pipelines,https://github.com/PrefectHQ/prefect,https://github.com/PrefectHQ/prefect,Apache-2.0,2018-06-29 21:59:26.000000,2021-12-02 01:18:48.000000,2021-12-01 16:44:37.000000,743,386.0,1577.0,7847.0,14215.0,The easiest way to automate your data.,272.0,31,True,2021-12-01 00:24:16.000000,0.15.10,110.0,prefect,conda-forge/prefect,,,150727.0,515.0,513.0,https://pypi.org/project/prefect,2021-12-01 00:24:16.000000,2.0,143962.0,https://anaconda.org/conda-forge/prefect,2021-12-01 07:32:48.953000,223267.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n82,tensorboardX,lanpa/tensorboardX,,ml-experiments,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19.000000,2021-11-21 09:12:04.000000,2021-09-12 12:57:41.000000,841,74.0,361.0,7177.0,474.0,\"tensorboard for pytorch (and chainer, mxnet, numpy, ...).\",67.0,31,True,2021-11-21 09:12:04.000000,2.4.1,16.0,tensorboardX,conda-forge/tensorboardx,,341.0,534918.0,17101.0,15767.0,https://pypi.org/project/tensorboardX,2021-11-21 09:12:04.000000,1334.0,521683.0,https://anaconda.org/conda-forge/tensorboardx,2021-08-10 02:00:22.589000,621768.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n83,Catboost,catboost/catboost,,ml-frameworks,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000000,2021-12-02 13:15:14.000000,2021-12-02 13:15:11.000000,937,310.0,1355.0,6237.0,19639.0,\"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..\",923.0,31,True,2021-11-04 04:25:01.000000,1.0.3,100.0,catboost,conda-forge/catboost,,68913.0,2360048.0,162.0,,https://pypi.org/project/catboost,2021-11-04 02:36:37.000000,162.0,2338424.0,https://anaconda.org/conda-forge/catboost,2021-11-09 18:53:14.338000,871759.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n84,Dagster,dagster-io/dagster,,data-pipelines,https://github.com/dagster-io/dagster,https://github.com/dagster-io/dagster,Apache-2.0,2018-04-30 16:30:04.000000,2021-12-02 14:49:29.000000,2021-12-02 05:24:46.000000,484,845.0,2665.0,4041.0,9183.0,\"An orchestration platform for the development, production, and observation of data assets.\",175.0,31,True,2021-11-29 22:47:38.000000,0.13.9,401.0,dagster,conda-forge/dagster,,,147027.0,267.0,263.0,https://pypi.org/project/dagster,2021-11-29 22:21:50.000000,4.0,130581.0,https://anaconda.org/conda-forge/dagster,2021-11-30 14:51:29.769000,411161.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n85,dbt,fishtown-analytics/dbt,,data-pipelines,https://github.com/dbt-labs/dbt-core,https://github.com/dbt-labs/dbt-core,Apache-2.0,2016-03-10 02:38:00.000000,2021-12-02 15:17:34.000000,2021-12-02 14:44:10.000000,703,282.0,2075.0,3829.0,2481.0,dbt enables data analysts and engineers to transform their data using the same practices that software engineers use..,188.0,31,True,2021-11-29 17:23:24.000000,0.21.1,172.0,dbt,conda-forge/dbt,,9.0,535839.0,237.0,219.0,https://pypi.org/project/dbt,2021-11-29 16:01:01.000000,18.0,532772.0,https://anaconda.org/conda-forge/dbt,2021-11-30 14:26:12.735000,187141.0,2.0,,,,,,,,,,,,,,,dbt,dbt-labs/dbt-core,,,,,,,,,,\n86,TensorFlow Datasets,tensorflow/datasets,,tensorflow-utils,https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000000,2021-12-02 15:24:47.000000,2021-12-02 14:41:09.000000,1165,524.0,593.0,3072.0,4391.0,\"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...\",230.0,31,True,2021-07-28 12:29:08.000000,4.4.0,23.0,tensorflow-datasets,,['tensorflow'],,1386167.0,102.0,,https://pypi.org/project/tensorflow-datasets,2021-07-28 12:24:01.000000,102.0,1386167.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n87,tensorflow-hub,tensorflow/hub,,tensorflow-utils,https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42.000000,2021-11-25 14:02:51.000000,2021-11-25 14:02:49.000000,1598,13.0,611.0,2999.0,1015.0,A library for transfer learning by reusing parts of TensorFlow models.,83.0,31,True,2021-04-14 13:17:26.000000,0.12.0,15.0,tensorflow-hub,conda-forge/tensorflow-hub,['tensorflow'],,2545082.0,9633.0,9319.0,https://pypi.org/project/tensorflow-hub,2021-04-14 12:54:13.000000,314.0,2543678.0,https://anaconda.org/conda-forge/tensorflow-hub,2021-04-18 18:01:14.779000,59002.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n88,Shapely,Toblerity/Shapely,,geospatial-data,https://github.com/Toblerity/Shapely,https://github.com/Toblerity/Shapely,BSD-3-Clause,2011-12-31 19:43:11.000000,2021-12-02 09:03:24.000000,2021-12-02 08:37:44.000000,440,143.0,656.0,2522.0,,Manipulation and analysis of geometric objects.,131.0,31,True,2021-10-25 16:52:16.000000,1.8.0,105.0,shapely,conda-forge/shapely,,,4421700.0,29683.0,24225.0,https://pypi.org/project/shapely,2021-10-25 16:26:07.000000,5458.0,4380942.0,https://anaconda.org/conda-forge/shapely,2021-11-20 09:37:12.537000,3016095.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n89,opencv-python,opencv/opencv-python,,image,https://github.com/opencv/opencv-python,https://github.com/opencv/opencv-python,MIT,2016-04-08 13:36:40.000000,2021-11-29 07:43:38.000000,2021-11-29 07:43:38.000000,469,38.0,456.0,2384.0,811.0,\"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..\",36.0,31,True,2021-11-19 15:28:16.000000,60,59.0,opencv-python,,,,3917012.0,12560.0,,https://pypi.org/project/opencv-python,2021-11-22 05:47:48.000000,12560.0,3917012.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n90,Rasterio,mapbox/rasterio,,geospatial-data,https://github.com/rasterio/rasterio,https://github.com/rasterio/rasterio,BSD-3-Clause,2013-11-04 16:36:27.000000,2021-12-01 01:16:13.000000,2021-12-01 01:16:13.000000,455,148.0,1329.0,1624.0,3452.0,Rasterio reads and writes geospatial raster datasets.,117.0,31,True,2021-10-21 15:00:11.000000,1.3a2,133.0,rasterio,conda-forge/rasterio,,742.0,569814.0,4877.0,4027.0,https://pypi.org/project/rasterio,2021-10-15 02:04:49.000000,850.0,550421.0,https://anaconda.org/conda-forge/rasterio,2021-11-24 18:04:21.279000,1337525.0,2.0,,,,,,,,,,,,,,,,rasterio/rasterio,,,,,,,,,,\n91,Wand,emcconville/wand,,image,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000000,2021-11-20 16:28:51.000000,2021-11-20 16:28:47.000000,189,18.0,347.0,1128.0,1741.0,The ctypes-based simple ImageMagick binding for Python.,97.0,31,True,2021-08-17 02:43:04.000000,0.6.7,49.0,wand,,,5270.0,275767.0,8788.0,7618.0,https://pypi.org/project/wand,2021-08-17 02:13:00.000000,1170.0,275625.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n92,pyproj,pyproj4/pyproj,,geospatial-data,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000000,2021-11-18 03:44:35.000000,2021-11-18 03:42:11.000000,167,8.0,448.0,686.0,1277.0,Python interface to PROJ (cartographic projections and coordinate transformations library).,44.0,31,True,2021-11-18 01:52:35.000000,3.3.0,39.0,pyproj,conda-forge/pyproj,,,2874521.0,14551.0,12089.0,https://pypi.org/project/pyproj,2021-11-18 01:52:35.000000,2462.0,2836740.0,https://anaconda.org/conda-forge/pyproj,2021-11-18 03:35:21.354000,2720254.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n93,jieba,fxsjy/jieba,,chinese-nlp,https://github.com/fxsjy/jieba,https://github.com/fxsjy/jieba,MIT,2012-09-29 07:52:01.000000,2021-07-25 14:17:48.000000,2020-02-15 08:33:35.000000,6399,624.0,207.0,27436.0,523.0,Chinese Words Segmentation Utilities.,48.0,30,False,2020-01-20 14:27:23.000000,0.42.1,32.0,jieba,conda-forge/jieba,,,384822.0,14331.0,11815.0,https://pypi.org/project/jieba,2020-01-20 14:27:23.000000,2516.0,383057.0,https://anaconda.org/conda-forge/jieba,2021-05-30 19:33:02.597000,98867.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n94,fastText,facebookresearch/fastText,,nlp,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000000,2021-11-08 12:46:40.327000,2020-07-18 00:20:40.000000,4392,470.0,596.0,23170.0,379.0,Library for fast text representation and classification.,58.0,30,False,2020-04-28 09:54:50.000000,0.9.2,35.0,fasttext,conda-forge/fasttext,,,329801.0,2540.0,2350.0,https://pypi.org/project/fasttext,2020-04-28 09:54:50.000000,190.0,329302.0,https://anaconda.org/conda-forge/fasttext,2021-11-08 12:46:40.327000,24960.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n95,PyTorch Image Models,rwightman/pytorch-image-models,,image,https://github.com/rwightman/pytorch-image-models,https://github.com/rwightman/pytorch-image-models,Apache-2.0,2019-02-02 05:51:12.000000,2021-12-01 22:59:33.000000,2021-11-24 21:21:24.000000,2312,57.0,371.0,14910.0,1215.0,\"PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision..\",61.0,30,True,2021-10-04 00:02:48.000000,0.1-rsb-weights,27.0,,,['pytorch'],748382.0,24141.0,1503.0,1503.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n96,zipline,quantopian/zipline,,financial-data,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29.000000,2021-11-01 20:36:25.000000,2020-10-14 16:36:49.000000,4203,346.0,651.0,14664.0,6226.0,\"Zipline, a Pythonic Algorithmic Trading Library.\",153.0,30,False,2020-10-05 15:46:20.429000,1.4.1,30.0,zipline,,,,2934.0,955.0,797.0,https://pypi.org/project/zipline,2020-10-05 15:46:20.429000,158.0,2934.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n97,EasyOCR,JaidedAI/EasyOCR,,ocr,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000000,2021-10-26 03:14:14.000000,2021-10-15 02:56:26.000000,1676,131.0,324.0,13197.0,474.0,\"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..\",90.0,30,True,2021-09-11 09:38:37.000000,1.4.1,25.0,easyocr,,,816728.0,143407.0,707.0,707.0,https://pypi.org/project/easyocr,2021-09-11 09:38:37.000000,0.0,98034.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n98,horovod,horovod/horovod,,distributed-ml,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000000,2021-12-01 11:30:02.000000,2021-11-25 07:11:02.000000,1931,266.0,1654.0,11898.0,1106.0,\"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.\",139.0,30,True,2021-10-06 18:03:55.000000,0.23.0,67.0,horovod,,,,39261.0,507.0,467.0,https://pypi.org/project/horovod,2021-10-06 18:03:55.000000,40.0,39261.0,,,,2.0,,,,,,,,stable/horovod,,,,,,,,,,,,,,,,,,\n99,Lime,marcotcr/lime,,interpretability,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10.000000,2021-10-19 11:55:10.000000,2021-07-29 23:17:25.000000,1481,20.0,525.0,9355.0,531.0,Lime: Explaining the predictions of any machine learning classifier.,61.0,30,True,2020-04-03 22:05:03.000000,0.2.0.0,38.0,lime,conda-forge/lime,,,1028719.0,1870.0,1742.0,https://pypi.org/project/lime,2020-06-26 21:38:15.000000,128.0,1027265.0,https://anaconda.org/conda-forge/lime,2020-06-28 01:02:41.538000,87295.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n100,Annoy,spotify/annoy,,nn-search,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40.000000,2021-10-18 14:07:24.000000,2021-10-18 14:07:24.000000,951,37.0,298.0,9221.0,832.0,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,75.0,30,True,2020-09-18 16:07:59.000000,1.17.0,43.0,annoy,,,,570144.0,2198.0,1838.0,https://pypi.org/project/annoy,2020-09-18 16:07:59.000000,360.0,570144.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n101,DVC,iterative/dvc,,ml-experiments,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000000,2021-12-02 12:24:10.000000,2021-12-02 07:39:41.000000,853,560.0,2830.0,8932.0,7112.0,Data Version Control | Git for Data & Models | ML Experiments Management.,252.0,30,True,2021-11-08 14:12:26.000000,2.8.3,340.0,dvc,conda-forge/dvc,,46158.0,299659.0,46.0,,https://pypi.org/project/dvc,2021-11-08 14:12:26.000000,46.0,264657.0,https://anaconda.org/conda-forge/dvc,2021-11-22 10:54:48.065000,936342.0,2.0,,,,,,,,,,,,,,,dvc,,dvc,dvc,,,,,,,,\n102,sentence-transformers,UKPLab/sentence-transformers,,nlp,https://github.com/UKPLab/sentence-transformers,https://github.com/UKPLab/sentence-transformers,Apache-2.0,2019-07-24 10:53:51.000000,2021-12-02 00:49:08.000000,2021-11-12 13:49:35.000000,1258,590.0,589.0,6566.0,1016.0,Multilingual Sentence & Image Embeddings with BERT.,67.0,30,True,2021-10-01 09:10:30.000000,2.1.0,40.0,sentence-transformers,,['pytorch'],,385766.0,1965.0,1965.0,https://pypi.org/project/sentence-transformers,2021-10-01 08:44:06.000000,0.0,385766.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n103,Pydub,jiaaro/pydub,,audio,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38.000000,2021-11-08 23:25:49.000000,2021-06-08 14:06:40.000000,763,204.0,252.0,5737.0,742.0,Manipulate audio with a simple and easy high level interface.,90.0,30,True,2021-03-10 02:10:41.000000,0.25.1,68.0,pydub,conda-forge/pydub,,,694014.0,11017.0,9663.0,https://pypi.org/project/pydub,2021-03-10 02:09:53.000000,1354.0,693468.0,https://anaconda.org/conda-forge/pydub,2021-03-13 05:16:50.142000,19661.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n104,Chainer,chainer/chainer,,ml-frameworks,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37.000000,2021-06-10 09:05:27.000000,2021-06-10 08:30:31.000000,1374,18.0,2026.0,5642.0,30595.0,A flexible framework of neural networks for deep learning.,320.0,30,True,2021-06-10 09:05:28.000000,7.8.0,110.0,chainer,,,,18803.0,3176.0,2434.0,https://pypi.org/project/chainer,2021-06-10 08:29:05.000000,742.0,18803.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n105,sentencepiece,google/sentencepiece,,nlp,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000000,2021-11-05 06:32:08.219000,2021-07-02 15:44:09.000000,724,46.0,439.0,5497.0,697.0,Unsupervised text tokenizer for Neural Network-based text generation.,57.0,30,True,2021-06-18 09:34:31.000000,0.1.96,31.0,sentencepiece,conda-forge/sentencepiece,,18171.0,2340277.0,11547.0,11307.0,https://pypi.org/project/sentencepiece,2021-06-18 09:34:31.000000,240.0,2332511.0,https://anaconda.org/conda-forge/sentencepiece,2021-11-05 06:32:08.219000,124320.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n106,PyOD,yzhao062/pyod,,others,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04.000000,2021-11-09 11:41:55.000000,2021-11-01 13:46:08.000000,982,122.0,112.0,5047.0,1398.0,A Python Toolbox for Scalable Outlier Detection (Anomaly Detection).,31.0,30,True,2021-10-27 18:18:19.000000,0.9.5,73.0,pyod,,,,409366.0,996.0,990.0,https://pypi.org/project/pyod,2021-10-27 18:16:43.000000,6.0,409366.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n107,GluonCV,dmlc/gluon-cv,,image,https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21.000000,2021-11-14 01:12:13.000000,2021-11-14 01:12:13.000000,1113,65.0,736.0,4987.0,886.0,Gluon CV Toolkit.,114.0,30,True,2021-07-25 02:48:59.000000,0.10.4,1247.0,gluoncv,,['mxnet'],,654419.0,659.0,629.0,https://pypi.org/project/gluoncv,2021-10-10 09:00:58.000000,30.0,654419.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n108,PyCaret,pycaret/pycaret,,ml-experiments,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000000,2021-12-02 13:55:44.000000,2021-11-30 14:17:14.000000,1030,204.0,1004.0,4440.0,1992.0,\"An open-source, low-code machine learning library in Python.\",66.0,30,True,2021-11-19 19:07:34.000000,2.3.5,74.0,pycaret,,,487.0,236607.0,1551.0,1551.0,https://pypi.org/project/pycaret,2021-11-19 19:07:34.000000,0.0,236579.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n109,einops,arogozhnikov/einops,,ml-frameworks,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08.000000,2021-10-14 07:02:59.000000,2021-10-11 05:04:02.000000,152,30.0,53.0,3915.0,375.0,\"Deep learning operations reinvented (for pytorch, tensorflow, jax and others).\",12.0,30,True,2021-08-31 22:49:08.000000,0.3.2,5.0,einops,conda-forge/einops,,,4232822.0,1544.0,1534.0,https://pypi.org/project/einops,2021-08-31 21:29:29.000000,10.0,4232489.0,https://anaconda.org/conda-forge/einops,2021-08-31 23:13:47.214000,9010.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n110,AzureML SDK,Azure/MachineLearningNotebooks,,ml-experiments,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000000,2021-12-02 02:53:01.000000,2021-11-08 17:48:25.000000,1954,199.0,1012.0,2777.0,1162.0,Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft.,57.0,30,True,2021-10-11 15:20:56.000000,1.35.0,83.0,azureml-sdk,,,426.0,1548387.0,60.0,,https://pypi.org/project/azureml-sdk,2021-11-08 15:39:29.000000,60.0,1548376.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n111,PyQtGraph,pyqtgraph/pyqtgraph,,data-viz,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21.000000,2021-12-02 08:23:51.000000,2021-11-28 02:42:09.000000,896,309.0,669.0,2644.0,3112.0,Fast data visualization and GUI tools for scientific / engineering applications.,213.0,30,True,2021-10-11 03:04:34.000000,pyqtgraph-0.12.3,16.0,pyqtgraph,conda-forge/pyqtgraph,,,62886.0,890.0,,https://pypi.org/project/pyqtgraph,2021-10-11 03:35:04.000000,890.0,59363.0,https://anaconda.org/conda-forge/pyqtgraph,2021-10-11 16:15:08.513000,207860.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n112,mrjob,Yelp/mrjob,,data-pipelines,https://github.com/Yelp/mrjob,https://github.com/Yelp/mrjob,Apache-2.0,2010-10-13 18:35:21.000000,2021-11-08 11:23:32.000000,2020-11-16 22:20:52.000000,590,203.0,1092.0,2569.0,8622.0,Run MapReduce jobs on Hadoop or Amazon Web Services.,142.0,30,False,2020-09-17 22:26:01.000000,0.7.4,60.0,mrjob,conda-forge/mrjob,,,90387.0,1006.0,894.0,https://pypi.org/project/mrjob,2020-09-17 22:26:01.000000,112.0,83787.0,https://anaconda.org/conda-forge/mrjob,2020-12-24 22:44:29.424000,415823.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n113,Keras Tuner,keras-team/keras-tuner,,hyperopt,https://github.com/keras-team/keras-tuner,https://github.com/keras-team/keras-tuner,Apache-2.0,2019-06-06 22:38:21.000000,2021-11-24 12:17:50.000000,2021-11-05 18:17:40.000000,308,166.0,196.0,2412.0,859.0,Hyperparameter tuning for humans.,39.0,30,True,2021-11-05 17:28:50.000000,1.1.0,11.0,keras-tuner,,['tensorflow'],,707706.0,985.0,981.0,https://pypi.org/project/keras-tuner,2021-11-05 17:28:50.000000,4.0,707706.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n114,xarray,pydata/xarray,,data-containers,https://github.com/pydata/xarray,https://github.com/pydata/xarray,Apache-2.0,2013-09-30 17:21:10.000000,2021-12-02 02:16:26.000000,2021-11-30 00:33:07.000000,739,917.0,2186.0,2327.0,,N-D labeled arrays and datasets in Python.,345.0,30,True,2021-11-05 17:03:48.000000,0.20.1,62.0,xarray,conda-forge/xarray,,,1110746.0,9480.0,8348.0,https://pypi.org/project/xarray,2021-11-05 17:03:48.000000,1132.0,1048594.0,https://anaconda.org/conda-forge/xarray,2021-11-08 01:21:44.036000,4288499.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n115,scikit-optimize,scikit-optimize/scikit-optimize,,hyperopt,https://github.com/scikit-optimize/scikit-optimize,https://github.com/scikit-optimize/scikit-optimize,BSD-3-Clause,2016-03-20 21:10:54.000000,2021-11-20 14:09:54.000000,2021-10-12 13:32:38.000000,417,232.0,385.0,2242.0,1570.0,Sequential model-based optimization with a `scipy.optimize` interface.,75.0,30,True,2021-10-12 15:33:19.000000,0.9.0,23.0,scikit-optimize,conda-forge/scikit-optimize,,,425873.0,2344.0,2184.0,https://pypi.org/project/scikit-optimize,2021-10-12 14:21:32.000000,160.0,416129.0,https://anaconda.org/conda-forge/scikit-optimize,2021-10-24 07:56:21.816000,516465.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n116,ImageHash,JohannesBuchner/imagehash,,image,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48.000000,2021-11-28 20:34:50.000000,2021-09-07 19:15:32.000000,284,13.0,92.0,2187.0,209.0,A Python Perceptual Image Hashing Module.,20.0,30,True,2021-07-15 12:35:01.000000,4.2.1,18.0,ImageHash,conda-forge/imagehash,,,855566.0,4329.0,3797.0,https://pypi.org/project/ImageHash,2021-07-15 12:35:01.000000,532.0,852912.0,https://anaconda.org/conda-forge/imagehash,2021-07-15 15:00:27.543000,161941.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n117,category_encoders,scikit-learn-contrib/category_encoders,,sklearn-utils,https://github.com/scikit-learn-contrib/category_encoders,https://github.com/scikit-learn-contrib/category_encoders,BSD-3-Clause,2015-11-29 19:32:37.000000,2021-11-28 14:52:41.000000,2021-11-16 22:47:58.000000,336,78.0,160.0,1791.0,740.0,A library of sklearn compatible categorical variable encoders.,48.0,30,True,2021-10-13 15:40:27.000000,2.3.0-rerelease,19.0,category_encoders,conda-forge/category_encoders,['sklearn'],,720356.0,2736.0,2713.0,https://pypi.org/project/category_encoders,2018-10-14 14:15:54.000000,23.0,718313.0,https://anaconda.org/conda-forge/category_encoders,2021-10-13 18:33:34.503000,132849.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n118,Geocoder,DenisCarriere/geocoder,,geospatial-data,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21.000000,2021-08-26 23:24:43.000000,2018-10-12 15:53:05.000000,260,90.0,217.0,1401.0,1251.0,Python Geocoder.,74.0,30,False,2018-04-04 12:34:51.000000,1.38.1,108.0,geocoder,conda-forge/geocoder,,,2029338.0,5011.0,4167.0,https://pypi.org/project/geocoder,2018-04-04 12:34:51.000000,844.0,2027707.0,https://anaconda.org/conda-forge/geocoder,2019-06-27 16:40:50.469000,94636.0,2.0,,,,,,,,,,,,,,,,,,,geocoder,,,,,,,\n119,Fiona,Toblerity/Fiona,,geospatial-data,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00.000000,2021-12-01 17:00:06.524000,2021-11-22 07:52:57.000000,175,80.0,571.0,869.0,1271.0,Fiona reads and writes geographic data files.,65.0,30,True,2021-05-31 23:04:33.000000,1.8.20,98.0,fiona,conda-forge/fiona,,,1704958.0,8422.0,7234.0,https://pypi.org/project/fiona,2021-05-31 23:04:33.000000,1188.0,1670318.0,https://anaconda.org/conda-forge/fiona,2021-12-01 17:00:06.524000,2390203.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n120,NIPYPE,nipy/nipype,,medical-data,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000000,2021-12-02 14:30:55.000000,2021-12-02 14:30:42.000000,475,359.0,893.0,597.0,14304.0,Workflows and interfaces for neuroimaging packages.,226.0,30,True,2021-10-20 17:40:54.000000,1.7.0,56.0,nipype,conda-forge/nipype,,,38851.0,983.0,791.0,https://pypi.org/project/nipype,2021-10-20 15:33:29.000000,192.0,31887.0,https://anaconda.org/conda-forge/nipype,2021-10-20 17:02:23.801000,452662.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n121,snowballstemmer,snowballstem/snowball,,nlp,https://github.com/snowballstem/snowball,https://github.com/snowballstem/snowball,BSD-3-Clause,2013-02-23 07:17:42.000000,2021-11-17 09:59:16.947000,2021-11-16 18:29:31.000000,148,25.0,44.0,531.0,918.0,Snowball compiler and stemming algorithms.,28.0,30,True,2021-11-16 18:38:34.000000,2.2.0,10.0,snowballstemmer,conda-forge/snowballstemmer,,,4233659.0,13186.0,4.0,https://pypi.org/project/snowballstemmer,2021-11-16 18:38:34.000000,13182.0,4179263.0,https://anaconda.org/conda-forge/snowballstemmer,2021-11-17 09:59:16.947000,3481400.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n122,Face Recognition,ageitgey/face_recognition,,image,https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39.000000,2021-11-26 23:12:17.000000,2021-06-14 10:10:40.000000,11744,658.0,552.0,42350.0,219.0,The world's simplest facial recognition api for Python and the command line.,47.0,29,True,2018-08-21 18:34:21.000000,1.2.3,21.0,face_recognition,,['pytorch'],449.0,38258.0,406.0,,https://pypi.org/project/face_recognition,2018-08-21 18:34:21.000000,406.0,38250.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n123,PyFlink,apache/flink,,ml-frameworks,https://github.com/apache/flink,https://github.com/apache/flink,Apache-2.0,2014-06-07 07:00:10.000000,2021-12-02 14:03:13.000000,2021-12-02 12:35:23.000000,9774,690.0,,17654.0,29043.0,Apache Flink Python API.,1417.0,29,True,2021-09-29 02:49:08.000000,1.14.0,23.0,apache-flink,,,,6694.0,0.0,,https://pypi.org/project/apache-flink,2021-09-29 02:49:08.000000,0.0,6694.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n124,Streamlit,streamlit/streamlit,,others,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000000,2021-12-02 08:21:21.000000,2021-11-30 18:44:42.000000,1483,553.0,1603.0,16722.0,,Streamlit The fastest way to build data apps in Python.,132.0,29,True,2021-11-11 19:39:24.000000,1.2.0,144.0,streamlit,,,,514067.0,210.0,176.0,https://pypi.org/project/streamlit,2021-11-11 19:38:44.000000,34.0,514067.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n125,PyTorch Geometric,rusty1s/pytorch_geometric,,graph,https://github.com/pyg-team/pytorch_geometric,https://github.com/pyg-team/pytorch_geometric,MIT,2017-10-06 16:03:03.000000,2021-12-02 14:27:58.000000,2021-12-01 12:04:38.000000,2214,859.0,1442.0,13210.0,5192.0,Graph Neural Network Library for PyTorch.,223.0,29,True,2021-10-26 12:42:36.000000,2.0.2,31.0,torch-geometric,,['pytorch'],,35712.0,24.0,,https://pypi.org/project/torch-geometric,2021-10-26 12:42:36.000000,24.0,35712.0,,,,1.0,,,,,,,,,,,,,,,,pyg-team/pytorch_geometric,,,,,,,,,,\n126,Jina,jina-ai/jina,,ml-frameworks,https://github.com/jina-ai/jina,https://github.com/jina-ai/jina,Apache-2.0,2020-02-13 17:04:44.000000,2021-12-02 14:10:06.333688,2021-12-02 13:51:31.000000,1641,80.0,1150.0,12411.0,6786.0,Cloud-native neural search framework for kind of data.,134.0,29,True,2021-12-02 13:52:23.000000,2.5.1,1489.0,jina,,,,55788.0,182.0,182.0,https://pypi.org/project/jina,2021-12-02 13:51:28.000000,,11279.0,,,,2.0,,jinaai/jina,https://hub.docker.com/r/jinaai/jina,2021-12-02 14:10:06.333688,6.0,979217.0,,,,,,,,,,,,,,,,,,,,\n127,InsightFace,deepinsight/insightface,,image,https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,MIT,2017-09-01 00:36:51.000000,2021-12-01 05:16:45.000000,2021-12-01 05:16:37.000000,3502,964.0,808.0,10767.0,1907.0,State-of-the-art 2D and 3D Face Analysis Project.,31.0,29,True,2021-08-31 06:20:24.000000,0.4.2,21.0,insightface,,['mxnet'],,14840.0,116.0,114.0,https://pypi.org/project/insightface,2021-09-21 02:50:54.000000,2.0,14840.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n128,NNI,microsoft/nni,,hyperopt,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44.000000,2021-12-02 09:23:05.000000,2021-12-01 06:47:19.000000,1472,224.0,1214.0,10624.0,2401.0,\"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..\",153.0,29,True,2021-11-04 00:55:22.000000,2.5,44.0,nni,,,,8405.0,173.0,157.0,https://pypi.org/project/nni,2021-11-04 00:40:20.000000,16.0,8405.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n129,Dopamine,google/dopamine,,reinforcement-learning,https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36.000000,2021-11-12 16:08:08.000000,2021-11-09 14:30:54.000000,1276,78.0,82.0,9655.0,276.0,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,14.0,29,True,2021-09-23 18:11:25.000000,4.0.0,40.0,dopamine-rl,,['tensorflow'],,917678.0,62.0,,https://pypi.org/project/dopamine-rl,2021-09-23 18:11:25.000000,62.0,917678.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n130,TFlearn,tflearn/tflearn,,ml-frameworks,https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,MIT,2016-03-31 12:05:53.000000,2021-01-25 09:41:59.000000,2020-11-30 04:34:51.000000,2429,563.0,362.0,9570.0,613.0,Deep learning library featuring a higher-level API for TensorFlow.,128.0,29,False,2020-11-11 19:26:11.000000,0.5.0,8.0,tflearn,,['tensorflow'],,11557.0,4605.0,3643.0,https://pypi.org/project/tflearn,2020-11-11 19:13:47.000000,962.0,11557.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n131,dgl,dmlc/dgl,,graph,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000000,2021-12-02 12:16:16.000000,2021-12-02 06:25:31.000000,1837,297.0,991.0,8556.0,2022.0,\"Python package built to ease deep learning on graph, on top of existing DL frameworks.\",174.0,29,True,2021-11-08 04:09:08.000000,0.7.2,438.0,dgl,,,,54846.0,30.0,,https://pypi.org/project/dgl,2021-05-27 13:25:52.000000,30.0,54846.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n132,ParlAI,facebookresearch/ParlAI,,nlp,https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44.000000,2021-12-02 06:50:03.000000,2021-12-02 05:43:25.000000,1665,93.0,1095.0,8466.0,3892.0,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,167.0,29,True,2021-10-12 21:51:23.000000,1.5.1,21.0,parlai,,['pytorch'],,1712.0,50.0,50.0,https://pypi.org/project/parlai,2021-10-12 21:51:23.000000,0.0,1712.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n133,pretrainedmodels,Cadene/pretrained-models.pytorch,,pytorch-utils,https://github.com/Cadene/pretrained-models.pytorch,https://github.com/Cadene/pretrained-models.pytorch,BSD-3-Clause,2017-04-09 15:54:23.000000,2021-07-29 10:41:37.000000,2020-04-16 08:02:22.000000,1755,92.0,91.0,8288.0,154.0,\"Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.\",22.0,29,False,2018-10-29 08:18:45.000000,0.7.4,16.0,pretrainedmodels,,['pytorch'],,61539.0,1419.0,1315.0,https://pypi.org/project/pretrainedmodels,2018-10-29 08:18:45.000000,104.0,61539.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n134,AutoKeras,keras-team/autokeras,,hyperopt,https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20.000000,2021-11-02 00:27:01.000000,2021-10-20 06:34:58.000000,1327,60.0,726.0,8251.0,1271.0,AutoML library for deep learning.,130.0,29,True,2021-11-02 00:16:03.000000,1.0.16.post1,53.0,autokeras,,['tensorflow'],1210.0,24129.0,268.0,254.0,https://pypi.org/project/autokeras,2021-11-02 00:27:01.000000,14.0,24105.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n135,Vowpal Wabbit,VowpalWabbit/vowpal_wabbit,,ml-frameworks,https://github.com/VowpalWabbit/vowpal_wabbit,https://github.com/VowpalWabbit/vowpal_wabbit,BSD-3-Clause,2009-07-31 19:36:58.000000,2021-12-02 05:22:39.000000,2021-12-02 05:22:39.000000,1758,180.0,964.0,7799.0,9520.0,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,309.0,29,True,2021-07-14 18:02:58.000000,8.11.0,18.0,vowpalwabbit,,,,30758.0,16.0,,https://pypi.org/project/vowpalwabbit,2021-07-14 18:02:58.000000,16.0,30758.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n136,Pyro,pyro-ppl/pyro,,probabilistics,https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000000,2021-11-30 23:12:11.000000,2021-11-28 22:53:38.000000,875,174.0,736.0,7206.0,2248.0,Deep universal probabilistic programming with Python and PyTorch.,116.0,29,True,2021-07-06 23:56:51.000000,1.7.0,27.0,pyro-ppl,,['pytorch'],,60885.0,614.0,578.0,https://pypi.org/project/pyro-ppl,2021-07-07 00:00:51.000000,36.0,60885.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n137,Modin,modin-project/modin,,data-containers,https://github.com/modin-project/modin,https://github.com/modin-project/modin,Apache-2.0,2018-06-21 21:35:05.000000,2021-12-02 14:49:46.000000,2021-12-02 14:00:17.000000,466,645.0,1543.0,6605.0,1617.0,Modin: Speed up your Pandas workflows by changing a single line of code.,85.0,29,True,2021-11-24 01:58:18.000000,0.12.0,46.0,modin,,['pandas'],195794.0,122232.0,531.0,513.0,https://pypi.org/project/modin,2021-11-24 01:58:18.000000,18.0,117457.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n138,tensorpack,tensorpack/tensorpack,,ml-frameworks,https://github.com/tensorpack/tensorpack,https://github.com/tensorpack/tensorpack,Apache-2.0,2015-12-25 23:08:44.000000,2021-11-27 04:08:51.000000,2021-11-27 04:08:51.000000,1808,13.0,1330.0,6129.0,2937.0,\"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.\",58.0,29,True,2020-04-24 19:01:06.000000,0.10.1,37.0,tensorpack,,['tensorflow'],128.0,17672.0,982.0,906.0,https://pypi.org/project/tensorpack,2021-01-22 08:44:03.000000,76.0,17670.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n139,yfinance,ranaroussi/yfinance,,financial-data,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000000,2021-11-24 21:04:02.000000,2021-11-21 10:41:35.000000,1421,376.0,320.0,6071.0,,Download market data from Yahoo! Finance's API.,49.0,29,True,2021-11-20 20:56:26.000000,0.1.67,32.0,yfinance,ranaroussi/yfinance,,,277565.0,8206.0,8180.0,https://pypi.org/project/yfinance,2021-11-20 20:56:26.000000,26.0,273907.0,https://anaconda.org/ranaroussi/yfinance,2021-07-10 20:29:09.532000,18294.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n140,SpeechRecognition,Uberi/speech_recognition,,audio,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54.000000,2021-11-07 03:48:13.000000,2019-07-02 17:29:47.000000,1995,234.0,279.0,5965.0,360.0,\"Speech recognition module for Python, supporting several engines and APIs, online and offline.\",41.0,29,False,2017-12-05 14:05:14.000000,3.8.1,52.0,SpeechRecognition,conda-forge/speechrecognition,,,214050.0,1088.0,,https://pypi.org/project/SpeechRecognition,2017-12-05 13:58:29.000000,1088.0,212010.0,https://anaconda.org/conda-forge/speechrecognition,2021-01-11 17:26:33.040000,130607.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n141,faust,robinhood/faust,,data-pipelines,https://github.com/robinhood/faust,https://github.com/robinhood/faust,BSD-3-Clause,2017-03-08 18:36:11.000000,2021-10-26 06:31:36.000000,2020-10-09 12:59:42.000000,485,249.0,236.0,5876.0,4137.0,Python Stream Processing.,93.0,29,False,2020-02-25 22:57:18.000000,1.10.4,46.0,faust,,,,272289.0,918.0,890.0,https://pypi.org/project/faust,2020-02-25 22:57:18.000000,28.0,272289.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n142,Datasette,simonw/datasette,,others,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000000,2021-11-30 06:57:58.000000,2021-11-30 06:45:37.000000,379,320.0,875.0,5603.0,1821.0,An open source multi-tool for exploring and publishing data.,60.0,29,True,2021-11-30 06:57:58.000000,0.59.4,109.0,datasette,,,34.0,101567.0,626.0,556.0,https://pypi.org/project/datasette,2021-11-30 06:57:58.000000,70.0,101567.0,,,,1.0,,,,,,,,,,,,,,,datasette,,,,,,,,,,,\n143,Bayesian Optimization,fmfn/BayesianOptimization,,hyperopt,https://github.com/fmfn/BayesianOptimization,https://github.com/fmfn/BayesianOptimization,MIT,2014-06-06 08:18:56.000000,2021-11-25 04:39:23.000000,2020-12-19 01:11:23.000000,1181,45.0,172.0,5566.0,199.0,A Python implementation of global optimization with gaussian processes.,27.0,29,True,2020-05-16 16:03:51.000000,1.2.0,8.0,bayesian-optimization,,,70.0,153151.0,1064.0,972.0,https://pypi.org/project/bayesian-optimization,2020-05-16 15:56:09.000000,92.0,153150.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n144,Autograd,HIPS/autograd,,others,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23.000000,2021-04-22 18:19:00.000000,2021-03-03 09:27:58.000000,782,163.0,219.0,5539.0,1376.0,Efficiently computes derivatives of numpy code.,51.0,29,True,2017-08-24 17:00:41.000000,1.1.13,24.0,autograd,conda-forge/autograd,,,1123719.0,3022.0,2678.0,https://pypi.org/project/autograd,2019-07-25 16:21:07.000000,344.0,1120684.0,https://anaconda.org/conda-forge/autograd,2019-07-25 18:29:55.493000,194295.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n145,folium,python-visualization/folium,,geospatial-data,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000000,2021-12-01 16:04:44.000000,2021-11-30 20:51:51.000000,2028,204.0,712.0,5517.0,,Python Data. Leaflet.js Maps.,124.0,29,True,2021-11-19 21:01:43.000000,0.12.1.post1,26.0,folium,conda-forge/folium,,,543953.0,14035.0,13067.0,https://pypi.org/project/folium,2021-11-19 21:08:10.000000,968.0,537176.0,https://anaconda.org/conda-forge/folium,2021-11-19 21:32:47.521000,467662.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n146,Kornia,kornia/kornia,,image,https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000000,2021-12-02 12:28:58.000000,2021-12-02 12:19:37.000000,531,120.0,383.0,5442.0,1918.0,Open Source Differentiable Computer Vision Library.,143.0,29,True,2021-10-22 21:48:22.000000,0.6.1,25.0,kornia,,['pytorch'],153.0,137357.0,796.0,796.0,https://pypi.org/project/kornia,2021-10-22 21:48:22.000000,0.0,137353.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n147,Kedro,quantumblacklabs/kedro,,data-pipelines,https://github.com/quantumblacklabs/kedro,https://github.com/quantumblacklabs/kedro,Apache-2.0,2019-04-18 10:29:56.000000,2021-12-02 15:19:33.000000,2021-12-01 12:27:38.000000,526,49.0,535.0,4714.0,1382.0,\"A Python framework for creating reproducible, maintainable and modular data science code.\",132.0,29,True,2021-09-14 15:12:54.000000,0.17.5,29.0,kedro,,,,164365.0,635.0,619.0,https://pypi.org/project/kedro,2021-09-14 15:12:54.000000,16.0,164365.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n148,TinyDB,msiemens/tinydb,,data-containers,https://github.com/msiemens/tinydb,https://github.com/msiemens/tinydb,MIT,2013-07-12 23:31:13.000000,2021-12-01 15:50:25.000000,2021-12-01 10:06:43.000000,410,13.0,264.0,4677.0,636.0,TinyDB is a lightweight document oriented database optimized for your happiness :).,69.0,29,True,2021-09-23 18:07:35.000000,4.5.2,62.0,tinydb,conda-forge/tinydb,,,271171.0,1118.0,,https://pypi.org/project/tinydb,2021-09-23 18:07:32.000000,1118.0,268907.0,https://anaconda.org/conda-forge/tinydb,2021-09-23 23:38:10.536000,149452.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n149,Gradio,gradio-app/gradio,,others,https://github.com/gradio-app/gradio,https://github.com/gradio-app/gradio,Apache-2.0,2018-12-19 08:24:04.000000,2021-12-01 03:01:37.000000,2021-12-01 03:01:23.000000,258,40.0,188.0,4164.0,2693.0,\"Wrap UIs around any model, share with anyone.\",34.0,29,True,2021-11-22 21:21:03.000000,2.4.6,163.0,gradio,,,,62945.0,427.0,425.0,https://pypi.org/project/gradio,2021-12-01 03:01:20.000000,2.0,62945.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n150,Tesseract,madmaze/pytesseract,,ocr,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000000,2021-11-23 15:28:53.000000,2021-11-23 15:28:50.000000,552,10.0,272.0,3903.0,434.0,Python-tesseract is an optical character recognition (OCR) tool for python.,38.0,29,True,2021-06-28 23:00:22.000000,0.3.8,25.0,pytesseract,conda-forge/pytesseract,,,870560.0,1428.0,,https://pypi.org/project/pytesseract,2021-06-28 23:00:22.000000,1428.0,854115.0,https://anaconda.org/conda-forge/pytesseract,2021-06-05 17:42:22.118000,476916.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n151,Ignite,pytorch/ignite,,ml-frameworks,https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000000,2021-12-01 00:13:57.000000,2021-11-29 16:52:24.000000,507,142.0,829.0,3777.0,1276.0,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,156.0,29,True,2021-10-13 09:11:37.000000,0.4.7,756.0,pytorch-ignite,pytorch/ignite,['pytorch'],,65966.0,62.0,,https://pypi.org/project/pytorch-ignite,2021-12-01 00:13:57.000000,62.0,64198.0,https://anaconda.org/pytorch/ignite,2021-10-19 15:47:07.847000,74266.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n152,Koalas,databricks/koalas,,data-containers,https://github.com/databricks/koalas,https://github.com/databricks/koalas,Apache-2.0,2019-01-03 21:46:54.000000,2021-10-26 06:53:37.000000,2021-10-21 22:12:35.000000,322,94.0,482.0,3029.0,1547.0,Koalas: pandas API on Apache Spark.,51.0,29,True,2021-10-19 22:26:46.000000,1.8.2,47.0,koalas,conda-forge/koalas,\"['spark', 'pandas']\",998.0,2170807.0,160.0,158.0,https://pypi.org/project/koalas,2021-10-19 22:26:05.000000,2.0,2167293.0,https://anaconda.org/conda-forge/koalas,2021-10-20 00:43:43.868000,108004.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n153,missingno,ResidentMario/missingno,,data-viz,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50.000000,2021-07-04 16:12:30.000000,2021-07-04 16:09:34.000000,385,10.0,102.0,3003.0,180.0,Missing data visualization module for Python.,17.0,29,True,2021-07-04 16:12:30.000000,0.5.0,24.0,missingno,conda-forge/missingno,,,539630.0,5684.0,5532.0,https://pypi.org/project/missingno,2021-07-04 16:12:30.000000,152.0,537042.0,https://anaconda.org/conda-forge/missingno,2020-02-15 10:07:41.253000,137180.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n154,ta,bukosabino/ta,,financial-data,https://github.com/bukosabino/ta,https://github.com/bukosabino/ta,MIT,2018-01-02 18:08:48.000000,2021-11-20 15:52:15.000000,2021-11-20 09:04:46.000000,631,111.0,89.0,2608.0,588.0,Technical Analysis Library using Pandas and Numpy.,23.0,29,True,2021-11-20 09:07:49.000000,0.8.0,50.0,ta,,,,80064.0,894.0,882.0,https://pypi.org/project/ta,2021-11-20 09:07:49.000000,12.0,80064.0,,,,1.0,,,,,,,2.0,,,,,,,,,,,,,,,,,,,\n155,GPyTorch,cornellius-gp/gpytorch,,probabilistics,https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000000,2021-11-30 16:39:40.000000,2021-11-24 15:08:23.000000,388,240.0,779.0,2597.0,3525.0,A highly efficient and modular implementation of Gaussian Processes in PyTorch.,89.0,29,True,2021-09-02 12:05:08.000000,1.5.1,30.0,gpytorch,,['pytorch'],,132797.0,448.0,440.0,https://pypi.org/project/gpytorch,2021-09-02 12:05:08.000000,8.0,132797.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n156,Cufflinks,santosjorge/cufflinks,,data-viz,https://github.com/santosjorge/cufflinks,https://github.com/santosjorge/cufflinks,MIT,2014-11-19 20:59:33.000000,2021-11-25 17:30:29.000000,2021-02-25 05:05:09.000000,555,81.0,123.0,2398.0,452.0,Productivity Tools for Plotly + Pandas.,38.0,29,True,2020-03-01 17:42:01.000000,0.17.3,27.0,cufflinks,,['pandas'],,215125.0,4988.0,4754.0,https://pypi.org/project/cufflinks,2020-03-01 17:42:01.000000,234.0,215125.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n157,hmmlearn,hmmlearn/hmmlearn,,probabilistics,https://github.com/hmmlearn/hmmlearn,https://github.com/hmmlearn/hmmlearn,BSD-3-Clause,2014-03-23 10:33:09.000000,2021-12-02 08:09:18.000000,2021-11-16 12:27:25.000000,665,52.0,313.0,2378.0,386.0,\"Hidden Markov Models in Python, with scikit-learn like API.\",37.0,29,True,2021-07-18 14:01:41.000000,0.2.6,8.0,hmmlearn,conda-forge/hmmlearn,['sklearn'],,362014.0,1335.0,1129.0,https://pypi.org/project/hmmlearn,2021-07-18 14:01:41.000000,206.0,359175.0,https://anaconda.org/conda-forge/hmmlearn,2021-11-13 15:23:53.699000,105066.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n158,TF-Agents,tensorflow/agents,,reinforcement-learning,https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000000,2021-12-01 22:24:45.000000,2021-12-01 22:23:58.000000,582,101.0,414.0,2119.0,1979.0,\"TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.\",115.0,29,True,2021-11-15 17:59:06.000000,0.11.0,29.0,tf-agents,,['tensorflow'],,63315.0,645.0,633.0,https://pypi.org/project/tf-agents,2021-11-15 17:59:06.000000,12.0,63315.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n159,HoloViews,holoviz/holoviews,,data-viz,https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000000,2021-12-01 07:48:23.000000,2021-11-29 16:06:36.000000,328,795.0,1909.0,2050.0,10260.0,\"With Holoviews, your data visualizes itself.\",116.0,29,True,2021-09-30 16:18:23.000000,1.14.6,73.0,holoviews,conda-forge/holoviews,['jupyter'],,235136.0,170.0,,https://pypi.org/project/holoviews,2021-09-17 08:22:12.000000,170.0,222454.0,https://anaconda.org/conda-forge/holoviews,2021-09-17 16:26:42.464000,611701.0,2.0,,,,,,,,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,2020-05-24 13:49:54.205000,,3553.0,,,,,,,,,,,,,\n160,filterpy,rlabbe/filterpy,,probabilistics,https://github.com/rlabbe/filterpy,https://github.com/rlabbe/filterpy,MIT,2014-07-15 02:15:19.000000,2021-12-01 02:05:36.000000,2021-05-04 18:33:52.000000,460,39.0,154.0,2018.0,542.0,\"Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman..\",36.0,29,True,2018-10-10 22:38:24.000000,1.4.5,48.0,filterpy,conda-forge/filterpy,,,535532.0,1335.0,1123.0,https://pypi.org/project/filterpy,2018-10-10 22:38:24.000000,212.0,534242.0,https://anaconda.org/conda-forge/filterpy,2020-05-05 21:13:59.073000,69702.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n161,Lifelines,CamDavidsonPilon/lifelines,,medical-data,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42.000000,2021-12-01 02:47:32.482000,2021-11-30 19:30:36.000000,449,218.0,619.0,1757.0,2154.0,Survival analysis in Python.,98.0,29,True,2021-11-30 20:20:36.000000,0.26.4,160.0,lifelines,conda-forge/lifelines,,,228399.0,845.0,719.0,https://pypi.org/project/lifelines,2021-11-30 20:20:36.000000,126.0,225742.0,https://anaconda.org/conda-forge/lifelines,2021-12-01 02:47:32.482000,175416.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n162,ipyleaflet,jupyter-widgets/ipyleaflet,,geospatial-data,https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10.000000,2021-12-01 13:49:37.000000,2021-12-01 13:49:36.000000,303,174.0,278.0,1196.0,969.0,A Jupyter - Leaflet.js bridge.,71.0,29,True,2021-07-21 12:23:32.000000,0.14.0,71.0,ipyleaflet,conda-forge/ipyleaflet,['jupyter'],,96545.0,1392.0,1292.0,https://pypi.org/project/ipyleaflet,2021-06-17 16:00:18.000000,98.0,41263.0,https://anaconda.org/conda-forge/ipyleaflet,2021-06-17 16:32:56.948000,775797.0,2.0,,,,,,,,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2021-06-17 15:58:50.351000,2.0,43703.0,,,,,,,,,,,,,\n163,TF Model Optimization,tensorflow/model-optimization,,tensorflow-utils,https://github.com/tensorflow/model-optimization,https://github.com/tensorflow/model-optimization,Apache-2.0,2018-10-31 20:34:28.000000,2021-12-02 05:28:08.000000,2021-12-02 05:28:03.000000,254,135.0,144.0,1162.0,683.0,\"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.\",64.0,29,True,2021-09-30 10:12:08.000000,0.7.0,24.0,tensorflow-model-optimization,,['tensorflow'],,119019.0,1333.0,1327.0,https://pypi.org/project/tensorflow-model-optimization,2021-09-30 10:05:24.000000,6.0,119019.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n164,PyTables,PyTables/PyTables,,data-containers,https://github.com/PyTables/PyTables,https://github.com/PyTables/PyTables,BSD-3-Clause,2011-06-03 19:44:46.000000,2021-11-29 19:12:08.113000,2021-09-26 08:04:19.000000,218,178.0,455.0,1077.0,3964.0,A Python package to manage extremely large amounts of data.,100.0,29,True,2019-10-30 19:33:37.000000,3.6.1,25.0,tables,conda-forge/pytables,,163.0,857446.0,3754.0,,https://pypi.org/project/tables,2019-10-30 19:33:37.000000,3754.0,802410.0,https://anaconda.org/conda-forge/pytables,2021-11-29 19:12:08.113000,3522228.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n165,Keras-Preprocessing,keras-team/keras-preprocessing,,tensorflow-utils,https://github.com/keras-team/keras-preprocessing,https://github.com/keras-team/keras-preprocessing,MIT,2018-05-30 22:43:36.000000,2021-11-30 15:10:46.000000,2021-02-04 19:43:30.000000,428,93.0,100.0,995.0,284.0,\"Utilities for working with image data, text data, and sequence data.\",50.0,29,True,2020-05-14 03:53:47.000000,1.1.2,12.0,keras-preprocessing,conda-forge/keras-preprocessing,['tensorflow'],,6068593.0,2736.0,,https://pypi.org/project/keras-preprocessing,2020-05-14 03:53:47.000000,2736.0,6041007.0,https://anaconda.org/conda-forge/keras-preprocessing,2021-01-15 12:28:58.923000,1158650.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n166,TensorFlow Transform,tensorflow/transform,,tensorflow-utils,https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53.000000,2021-12-01 23:08:11.000000,2021-12-01 23:07:56.000000,178,20.0,151.0,898.0,726.0,Input pipeline framework.,27.0,29,True,2021-11-05 18:43:04.000000,1.4.0,43.0,tensorflow-transform,,['tensorflow'],,6838513.0,701.0,617.0,https://pypi.org/project/tensorflow-transform,2021-11-05 18:43:04.000000,84.0,6838513.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n167,TensorFlow Text,tensorflow/text,,nlp,https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000000,2021-11-30 20:05:30.000000,2021-11-30 20:05:27.000000,161,61.0,112.0,848.0,563.0,Making text a first-class citizen in TensorFlow.,64.0,29,True,2021-11-19 12:59:24.000000,2.7.3,42.0,tensorflow-text,,['tensorflow'],,1169381.0,1192.0,1188.0,https://pypi.org/project/tensorflow-text,2021-11-19 12:46:51.000000,4.0,1169381.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n168,patsy,pydata/patsy,,probabilistics,https://github.com/pydata/patsy,https://github.com/pydata/patsy,BSD-2-Clause,2012-07-10 12:30:06.000000,2021-09-26 16:29:44.000000,2021-09-26 16:29:39.000000,94,73.0,68.0,804.0,539.0,Describing statistical models in Python using symbolic formulas.,16.0,29,True,2021-09-27 02:10:26.000000,0.5.2,9.0,patsy,conda-forge/patsy,,,3465790.0,48912.0,43988.0,https://pypi.org/project/patsy,2021-09-26 05:26:37.000000,4924.0,3404139.0,https://anaconda.org/conda-forge/patsy,2021-09-26 14:43:31.594000,3945696.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n169,Bottleneck,pydata/bottleneck,,data-containers,https://github.com/pydata/bottleneck,https://github.com/pydata/bottleneck,BSD-2-Clause,2010-11-27 23:21:22.000000,2021-11-04 11:55:30.352000,2021-01-24 18:39:03.000000,74,37.0,179.0,675.0,1241.0,Fast NumPy array functions written in C.,21.0,29,True,2020-02-21 06:22:16.000000,1.3.2,21.0,Bottleneck,conda-forge/bottleneck,,,383620.0,31303.0,28411.0,https://pypi.org/project/Bottleneck,2020-02-21 06:22:16.000000,2892.0,357052.0,https://anaconda.org/conda-forge/bottleneck,2021-11-04 11:55:30.352000,1780073.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n170,NiBabel,nipy/nibabel,,medical-data,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30.000000,2021-11-19 13:45:46.000000,2021-09-30 22:21:56.000000,223,128.0,309.0,450.0,5065.0,Python package to access a cacophony of neuro-imaging file formats.,93.0,29,True,2020-11-28 22:19:50.000000,3.2.1,32.0,nibabel,conda-forge/nibabel,,,119070.0,7061.0,5797.0,https://pypi.org/project/nibabel,2020-11-28 22:18:23.000000,1264.0,113112.0,https://anaconda.org/conda-forge/nibabel,2020-11-29 03:40:05.178000,399251.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n171,Rasa,RasaHQ/rasa,,nlp,https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49.000000,2021-12-02 14:12:07.000000,2021-12-02 14:07:31.000000,3806,950.0,5445.0,13127.0,,\"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..\",515.0,28,True,2021-12-02 11:22:34.000000,3.0.1,229.0,rasa,,['tensorflow'],,165460.0,64.0,,https://pypi.org/project/rasa,2021-12-02 11:22:24.000000,64.0,165460.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n172,Milvus,milvus-io/milvus,,nn-search,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000000,2021-12-02 15:11:35.000000,2021-12-02 15:11:35.000000,1322,237.0,3860.0,8898.0,11891.0,An open-source vector database for embedding similarity search and AI applications.,176.0,28,True,2021-06-16 06:50:46.000000,1.1.1,100.0,pymilvus,,,5219.0,38004.0,6.0,,https://pypi.org/project/pymilvus,2021-11-01 10:54:41.000000,6.0,14119.0,,,,1.0,,milvusdb/milvus,https://hub.docker.com/r/milvusdb/milvus,2021-11-26 07:36:40.300171,16.0,637900.0,,,,,,,,,,,,,,,,,,,,\n173,TPOT,EpistasisLab/tpot,,hyperopt,https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40.000000,2021-07-01 15:13:10.000000,2021-01-06 15:17:46.000000,1406,231.0,602.0,8360.0,2368.0,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,108.0,28,False,2021-01-06 15:20:08.000000,0.11.7,60.0,tpot,conda-forge/tpot,['sklearn'],,20242.0,1294.0,1214.0,https://pypi.org/project/tpot,2021-01-06 15:20:08.000000,80.0,18064.0,https://anaconda.org/conda-forge/tpot,2021-03-05 04:04:38.005000,137215.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n174,PyMC3,pymc-devs/pymc3,,probabilistics,https://github.com/pymc-devs/pymc,https://github.com/pymc-devs/pymc,Apache-2.0,2009-05-05 09:43:50.000000,2021-12-02 14:46:41.000000,2021-12-01 11:55:30.000000,1424,232.0,2247.0,6191.0,,Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara.,347.0,28,True,2021-08-24 01:17:21.000000,3.11.4,35.0,pymc3,conda-forge/pymc3,,1044.0,213977.0,852.0,566.0,https://pypi.org/project/pymc3,2021-08-24 01:17:21.000000,286.0,208307.0,https://anaconda.org/conda-forge/pymc3,2021-10-12 16:32:39.553000,350818.0,2.0,,,,,,,,,,,,,,,,pymc-devs/pymc,,,,,,,,,,\n175,auto-sklearn,automl/auto-sklearn,,hyperopt,https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10.000000,2021-12-02 14:12:58.000000,2021-11-09 19:34:35.000000,1086,120.0,710.0,5882.0,2582.0,Automated Machine Learning with scikit-learn.,77.0,28,True,2021-11-10 09:01:03.000000,0.14.2,36.0,auto-sklearn,,['sklearn'],,26318.0,261.0,231.0,https://pypi.org/project/auto-sklearn,2021-11-10 09:01:03.000000,30.0,26318.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n176,featuretools,alteryx/featuretools,,hyperopt,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17.000000,2021-12-01 22:44:39.000000,2021-11-30 22:49:28.000000,767,150.0,551.0,5876.0,,An open source python library for automated feature engineering.,57.0,28,True,2021-11-15 22:31:16.000000,1.2.0,94.0,featuretools,conda-forge/featuretools,,,902196.0,951.0,881.0,https://pypi.org/project/featuretools,2021-11-15 22:31:16.000000,70.0,900178.0,https://anaconda.org/conda-forge/featuretools,2021-11-16 19:59:02.573000,72660.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n177,OpenNMT,OpenNMT/OpenNMT-py,,nlp,https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000000,2021-11-15 09:06:25.000000,2021-11-04 15:08:42.000000,2034,120.0,1196.0,5345.0,2585.0,Open Source Neural Machine Translation in PyTorch.,172.0,28,True,2021-09-14 08:49:23.000000,2.2.0,32.0,OpenNMT-py,,['pytorch'],,3654.0,120.0,116.0,https://pypi.org/project/OpenNMT-py,2021-09-14 08:49:23.000000,4.0,3654.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n178,CleverHans,cleverhans-lab/cleverhans,,adversarial,https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04.000000,2021-11-28 16:27:56.000000,2021-09-23 22:14:27.000000,1304,25.0,422.0,5323.0,3201.0,\"An adversarial example library for constructing attacks, building defenses, and benchmarking both.\",128.0,28,True,2021-07-24 08:53:21.000000,4.0.0,8.0,cleverhans,,['tensorflow'],,1910.0,292.0,276.0,https://pypi.org/project/cleverhans,2021-07-24 08:53:21.000000,16.0,1910.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n179,DEAP,deap/deap,,distributed-ml,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39.000000,2021-11-21 13:38:50.000000,2021-11-21 13:38:49.000000,920,225.0,244.0,4505.0,2179.0,Distributed Evolutionary Algorithms in Python.,76.0,28,False,2020-01-21 01:18:06.000000,1.3.1,16.0,deap,conda-forge/deap,,,170209.0,2747.0,2265.0,https://pypi.org/project/deap,2020-01-21 01:18:06.000000,482.0,167860.0,https://anaconda.org/conda-forge/deap,2021-11-07 17:27:38.136000,155069.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n180,espnet,espnet/espnet,,audio,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000000,2021-12-02 07:49:15.000000,2021-12-01 10:37:31.000000,1365,249.0,1318.0,4469.0,13239.0,End-to-End Speech Processing Toolkit.,207.0,28,True,2021-11-10 08:24:37.000000,0.10.4,40.0,espnet,,,73.0,3429.0,25.0,25.0,https://pypi.org/project/espnet,2021-11-10 08:24:37.000000,0.0,3428.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n181,imutils,jrosebr1/imutils,,image,https://github.com/PyImageSearch/imutils,https://github.com/PyImageSearch/imutils,MIT,2015-01-11 20:05:39.000000,2021-11-11 07:07:30.000000,2021-01-15 10:46:45.000000,935,83.0,76.0,3903.0,138.0,\"A series of convenience functions to make basic image processing operations such as translation, rotation, resizing,..\",20.0,28,True,2021-01-15 10:53:17.000000,0.5.4,29.0,imutils,conda-forge/imutils,,,285328.0,22307.0,21111.0,https://pypi.org/project/imutils,2021-01-15 10:53:17.000000,1196.0,282904.0,https://anaconda.org/conda-forge/imutils,2021-01-15 14:27:25.471000,72744.0,2.0,,,,,,,,,,,,,,,,PyImageSearch/imutils,,,,,,,,,,\n182,huey,coleifer/huey,,data-pipelines,https://github.com/coleifer/huey,https://github.com/coleifer/huey,MIT,2011-11-03 16:39:43.000000,2021-11-28 15:49:11.000000,2021-11-28 15:49:05.000000,326,,482.0,3730.0,931.0,a little task queue for python.,66.0,28,True,2021-11-28 15:46:21.000000,2.4.2,62.0,huey,conda-forge/huey,,,35635.0,1115.0,829.0,https://pypi.org/project/huey,2021-11-28 15:46:03.000000,286.0,35125.0,https://anaconda.org/conda-forge/huey,2019-10-16 15:34:27.487000,22456.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n183,sacred,IDSIA/sacred,,ml-experiments,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29.000000,2021-12-01 20:34:46.000000,2021-11-05 12:51:21.000000,335,92.0,427.0,3667.0,1314.0,\"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.\",95.0,28,True,2020-12-14 15:21:05.000000,0.8.2,27.0,sacred,,,,32789.0,1278.0,1124.0,https://pypi.org/project/sacred,2020-12-14 15:21:05.000000,154.0,32789.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n184,tensorflow-probability,tensorflow/probability,,probabilistics,https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000000,2021-12-01 18:10:30.000000,2021-12-01 18:10:28.000000,949,526.0,628.0,3545.0,,Probabilistic reasoning and statistical analysis in TensorFlow.,430.0,28,True,2021-11-18 15:49:59.000000,0.15.0,41.0,tensorflow-probability,conda-forge/tensorflow-probability,['tensorflow'],,977452.0,252.0,,https://pypi.org/project/tensorflow-probability,2021-11-17 17:40:22.000000,252.0,976060.0,https://anaconda.org/conda-forge/tensorflow-probability,2021-10-22 19:50:42.522000,47340.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n185,wandb client,wandb/client,,ml-experiments,https://github.com/wandb/client,https://github.com/wandb/client,MIT,2017-03-24 05:46:23.000000,2021-12-02 02:37:56.000000,2021-11-29 21:25:57.000000,279,398.0,1134.0,3539.0,4304.0,A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.,97.0,28,True,2021-11-19 17:08:43.000000,0.12.7,214.0,wandb,,,,413580.0,78.0,,https://pypi.org/project/wandb,2021-11-19 17:03:56.000000,78.0,413580.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n186,Dedupe,dedupeio/dedupe,,nlp,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36.000000,2021-10-14 13:15:50.000000,2021-10-14 13:15:50.000000,436,64.0,602.0,3233.0,2842.0,\"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.\",61.0,28,True,2021-04-17 00:35:34.000000,2.0.8,159.0,dedupe,,,,179116.0,284.0,206.0,https://pypi.org/project/dedupe,2021-04-17 00:35:34.000000,78.0,179116.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n187,bqplot,bqplot/bqplot,,data-viz,https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18.000000,2021-12-02 10:07:20.000000,2021-12-02 10:07:18.000000,445,219.0,352.0,3189.0,3436.0,Plotting library for IPython/Jupyter notebooks.,55.0,28,True,2021-10-01 09:15:22.000000,0.12.31,98.0,bqplot,conda-forge/bqplot,['jupyter'],,82880.0,150.0,28.0,https://pypi.org/project/bqplot,2021-10-01 09:15:22.000000,112.0,47129.0,https://anaconda.org/conda-forge/bqplot,2021-10-01 09:49:41.042000,900945.0,2.0,,,,,,,,,bqplot,https://www.npmjs.com/package/bqplot,2021-10-01 09:13:14.243000,10.0,22305.0,,,,,,,,,,,,,\n188,ftfy,LuminosoInsight/python-ftfy,,nlp,https://github.com/rspeer/python-ftfy,https://github.com/rspeer/python-ftfy,MIT,2012-08-24 16:14:59.000000,2021-05-25 06:35:21.702000,2021-05-17 19:04:10.000000,104,11.0,111.0,3107.0,590.0,\"Fixes mojibake and other glitches in Unicode text, after the fact.\",18.0,28,True,2021-08-23 21:02:05.000000,6.0.3,45.0,ftfy,conda-forge/ftfy,,,682408.0,5136.0,4376.0,https://pypi.org/project/ftfy,2021-05-24 05:17:15.000000,760.0,680044.0,https://anaconda.org/conda-forge/ftfy,2021-05-25 06:35:21.702000,132425.0,2.0,,,,,,,,,,,,,,,,rspeer/python-ftfy,,,,,,,,,,\n189,Blaze,blaze/blaze,,data-containers,https://github.com/blaze/blaze,https://github.com/blaze/blaze,BSD-3-Clause,2012-10-26 14:25:22.000000,2020-02-01 19:33:09.000000,2019-08-15 21:14:59.000000,381,263.0,500.0,3007.0,7496.0,NumPy and Pandas interface to Big Data.,64.0,28,False,2016-07-19 20:40:03.000000,0.11.0,14.0,blaze,conda-forge/blaze,,,15565.0,9579.0,7957.0,https://pypi.org/project/blaze,2016-05-06 21:19:21.000000,1622.0,11816.0,https://anaconda.org/conda-forge/blaze,2018-07-15 22:16:17.685000,194984.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n190,torchtext,pytorch/text,,nlp,https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000000,2021-12-02 12:35:59.000000,2021-11-28 22:59:41.000000,662,339.0,335.0,2899.0,847.0,Data loaders and abstractions for text and NLP.,118.0,28,True,2021-10-21 17:20:17.000000,0.11.0-rc3,17.0,torchtext,,['pytorch'],,96892.0,682.0,,https://pypi.org/project/torchtext,2021-10-21 15:11:48.000000,682.0,96892.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n191,datashader,holoviz/datashader,,data-viz,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000000,2021-11-29 21:57:52.000000,2021-11-29 09:59:14.000000,328,127.0,353.0,2657.0,1298.0,Quickly and accurately render even the largest data.,45.0,28,True,2021-06-09 23:30:20.000000,0.13.0,24.0,datashader,conda-forge/datashader,,,45705.0,955.0,885.0,https://pypi.org/project/datashader,2021-06-09 22:59:52.000000,70.0,40687.0,https://anaconda.org/conda-forge/datashader,2021-06-10 09:04:19.929000,245902.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n192,NMSLIB,nmslib/nmslib,,nn-search,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06.000000,2021-11-22 21:32:33.032000,2021-09-19 04:51:57.000000,371,60.0,331.0,2634.0,1511.0,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,45.0,28,True,2021-02-03 16:40:09.000000,2.1.1,32.0,nmslib,conda-forge/nmslib,,,71187.0,560.0,508.0,https://pypi.org/project/nmslib,2021-02-03 00:02:08.000000,52.0,68944.0,https://anaconda.org/conda-forge/nmslib,2021-11-22 21:32:33.032000,44878.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n193,TextDistance,life4/textdistance,,nlp,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10.000000,2021-11-29 10:29:02.000000,2021-11-29 10:29:02.000000,203,9.0,,2559.0,321.0,\"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..\",11.0,28,True,2021-10-27 13:15:53.000000,4.2.2,22.0,textdistance,conda-forge/textdistance,,354.0,205424.0,1394.0,1366.0,https://pypi.org/project/textdistance,2021-10-27 13:15:53.000000,28.0,203903.0,https://anaconda.org/conda-forge/textdistance,2021-10-27 17:04:18.548000,65116.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n194,pygal,Kozea/pygal,,graph,https://github.com/Kozea/pygal,https://github.com/Kozea/pygal,LGPL-3.0,2011-09-23 10:17:50.000000,2021-11-29 10:47:48.000000,2021-11-24 21:04:02.000000,391,177.0,244.0,2412.0,1018.0,PYthon svg GrAph plotting Library.,71.0,28,False,2021-11-24 21:07:22.000000,3.0.0,75.0,pygal,conda-forge/pygal,,,79697.0,1152.0,,https://pypi.org/project/pygal,2021-11-24 21:07:22.000000,1152.0,79385.0,https://anaconda.org/conda-forge/pygal,2019-06-04 02:55:56.728000,9377.0,1.0,,,,,,,2.0,,,,,,,,,,,,,,,,,,,\n195,Flax,google/flax,,ml-frameworks,https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000000,2021-12-02 10:57:07.000000,2021-12-01 13:19:29.000000,267,166.0,268.0,2343.0,,Flax is a neural network library for JAX that is designed for flexibility.,121.0,28,True,2021-10-27 21:00:51.000000,0.3.6,15.0,flax,,['jax'],31.0,4197212.0,540.0,534.0,https://pypi.org/project/flax,2021-10-27 21:00:51.000000,6.0,4197211.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n196,hdbscan,scikit-learn-contrib/hdbscan,,others,https://github.com/scikit-learn-contrib/hdbscan,https://github.com/scikit-learn-contrib/hdbscan,BSD-3-Clause,2015-04-22 13:32:37.000000,2021-11-26 23:18:05.000000,2021-11-24 18:26:20.000000,369,252.0,151.0,2025.0,923.0,A high performance implementation of HDBSCAN clustering.,74.0,28,True,2021-02-03 20:21:02.000000,0.8.27,43.0,hdbscan,conda-forge/hdbscan,['sklearn'],,293561.0,1223.0,1099.0,https://pypi.org/project/hdbscan,2021-02-03 20:21:02.000000,124.0,278477.0,https://anaconda.org/conda-forge/hdbscan,2021-02-14 03:07:15.749000,980465.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n197,Pythran,serge-sans-paille/pythran,,others,https://github.com/serge-sans-paille/pythran,https://github.com/serge-sans-paille/pythran,BSD-3-Clause,2012-05-29 08:02:14.000000,2021-12-01 12:11:38.000000,2021-12-01 12:11:37.000000,162,113.0,626.0,1651.0,3482.0,Ahead of Time compiler for numeric kernels.,64.0,28,True,2021-09-14 05:37:45.000000,0.10.0,51.0,pythran,conda-forge/pythran,,,237244.0,112.0,86.0,https://pypi.org/project/pythran,2021-09-14 05:37:45.000000,26.0,232411.0,https://anaconda.org/conda-forge/pythran,2021-11-05 02:26:49.727000,207833.0,2.0,,,,,,,,,,,,,,,,,,,,pythran,python-pythran,,,,,\n198,pyLDAvis,bmabey/pyLDAvis,,interpretability,https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03.000000,2021-11-22 20:42:31.000000,2021-03-24 13:03:31.000000,320,86.0,77.0,1544.0,240.0,Python library for interactive topic model visualization. Port of the R LDAvis package.,32.0,28,True,2021-03-24 13:05:21.000000,3.3.1,24.0,pyldavis,conda-forge/pyldavis,['jupyter'],,430134.0,3042.0,2844.0,https://pypi.org/project/pyldavis,2021-03-24 12:57:08.000000,198.0,429382.0,https://anaconda.org/conda-forge/pyldavis,2021-03-24 15:17:07.309000,31598.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n199,mleap,combust/mleap,,data-pipelines,https://github.com/combust/mleap,https://github.com/combust/mleap,Apache-2.0,2016-08-23 03:51:03.000000,2021-12-01 22:53:26.000000,2021-11-08 18:05:46.000000,285,85.0,348.0,1323.0,926.0,MLeap: Deploy ML Pipelines to Production.,70.0,28,True,2021-09-27 15:16:57.000000,0.18.1,8.0,mleap,conda-forge/mleap,,,105751.0,202.0,170.0,https://pypi.org/project/mleap,2021-09-27 15:16:57.000000,32.0,104463.0,https://anaconda.org/conda-forge/mleap,2021-10-02 22:28:24.067000,41216.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n200,Model Analysis,tensorflow/model-analysis,,interpretability,https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000000,2021-12-02 04:44:01.000000,2021-12-02 01:08:13.000000,234,25.0,47.0,1134.0,1072.0,Model analysis tools for TensorFlow.,36.0,28,True,2021-12-02 04:44:01.000000,0.36.0,46.0,tensorflow-model-analysis,,\"['tensorflow', 'jupyter']\",,5682502.0,20.0,,https://pypi.org/project/tensorflow-model-analysis,2021-12-02 04:44:01.000000,20.0,5682502.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n201,agate,wireservice/agate,,others,https://github.com/wireservice/agate,https://github.com/wireservice/agate,MIT,2014-04-25 13:59:09.000000,2021-10-06 19:36:50.000000,2021-07-15 17:22:49.000000,133,54.0,630.0,1069.0,1466.0,A Python data analysis library that is optimized for humans instead of machines.,49.0,28,True,2018-03-11 14:37:30.000000,1.6.1,25.0,agate,conda-forge/agate,,,760757.0,922.0,680.0,https://pypi.org/project/agate,2021-07-15 16:32:29.000000,242.0,759488.0,https://anaconda.org/conda-forge/agate,2021-07-16 07:46:42.405000,73621.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n202,pmdarima,alkaline-ml/pmdarima,,time-series-data,https://github.com/alkaline-ml/pmdarima,https://github.com/alkaline-ml/pmdarima,MIT,2017-03-30 14:58:30.000000,2021-11-28 22:03:01.000000,2021-11-28 21:48:59.000000,186,21.0,240.0,1062.0,1043.0,\"A statistical library designed to fill the void in Python's time series analysis capabilities, including the..\",19.0,28,True,2021-11-05 12:39:58.000000,1.8.4,36.0,pmdarima,,,,851731.0,1543.0,1531.0,https://pypi.org/project/pmdarima,2021-11-05 12:39:58.000000,12.0,851731.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n203,cartopy,SciTools/cartopy,,data-viz,https://github.com/SciTools/cartopy,https://github.com/SciTools/cartopy,LGPL-3.0,2012-08-03 07:43:59.000000,2021-11-28 22:07:50.000000,2021-11-28 04:33:29.000000,298,288.0,742.0,965.0,2558.0,Cartopy - a cartographic python library with matplotlib support.,105.0,28,False,2021-10-20 19:04:16.000000,0.20.1,24.0,cartopy,conda-forge/cartopy,,,118524.0,2383.0,2037.0,https://pypi.org/project/cartopy,2021-10-08 23:44:10.000000,346.0,91539.0,https://anaconda.org/conda-forge/cartopy,2021-11-20 12:45:41.185000,1862002.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n204,zarr,zarr-developers/zarr-python,,data-containers,https://github.com/zarr-developers/zarr-python,https://github.com/zarr-developers/zarr-python,MIT,2015-12-15 14:49:40.000000,2021-12-02 11:54:02.000000,2021-12-02 08:50:21.000000,134,198.0,273.0,820.0,1513.0,\"An implementation of chunked, compressed, N-dimensional arrays for Python.\",52.0,28,True,2021-11-19 08:12:25.000000,2.10.3,49.0,zarr,conda-forge/zarr,,,72436.0,1026.0,954.0,https://pypi.org/project/zarr,2021-11-19 08:12:25.000000,72.0,55123.0,https://anaconda.org/conda-forge/zarr,2021-11-19 10:43:50.744000,1159995.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n205,geojson,jazzband/geojson,,geospatial-data,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48.000000,2021-11-11 11:08:46.000000,2021-11-11 10:02:01.000000,87,19.0,58.0,673.0,455.0,Python bindings and utilities for GeoJSON.,45.0,28,True,2019-08-09 20:32:15.000000,2.5.0,28.0,geojson,conda-forge/geojson,,,495081.0,9929.0,8095.0,https://pypi.org/project/geojson,2019-08-09 20:32:15.000000,1834.0,488408.0,https://anaconda.org/conda-forge/geojson,2019-08-11 12:10:34.426000,460488.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n206,data-validation,tensorflow/data-validation,,data-viz,https://github.com/tensorflow/data-validation,https://github.com/tensorflow/data-validation,Apache-2.0,2018-07-02 15:47:02.000000,2021-12-01 23:17:43.000000,2021-12-01 22:30:18.000000,113,37.0,109.0,592.0,699.0,Library for exploring and validating machine learning data.,23.0,28,True,2021-12-01 23:17:43.000000,1.5.0,35.0,tensorflow-data-validation,,\"['tensorflow', 'jupyter']\",288.0,5884958.0,371.0,353.0,https://pypi.org/project/tensorflow-data-validation,2021-12-01 23:17:43.000000,18.0,5884951.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n207,Cython BLIS,explosion/cython-blis,,others,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16.000000,2021-11-17 12:08:58.000000,2021-11-17 12:08:58.000000,29,6.0,22.0,181.0,532.0,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,10.0,28,False,2021-10-27 09:16:31.000000,0.7.5,36.0,blis,conda-forge/cython-blis,,,2343321.0,14773.0,14383.0,https://pypi.org/project/blis,2021-10-22 08:50:51.000000,390.0,2308914.0,https://anaconda.org/conda-forge/cython-blis,2021-11-04 20:09:22.632000,1135442.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n208,fairseq,pytorch/fairseq,,nlp,https://github.com/pytorch/fairseq,https://github.com/pytorch/fairseq,MIT,2017-08-29 16:26:12.000000,2021-12-01 13:38:14.000000,2021-11-29 20:32:59.000000,3747,1087.0,2015.0,14709.0,,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,364.0,27,True,2021-01-05 20:26:45.000000,0.10.2,13.0,fairseq,,['pytorch'],151.0,24728.0,614.0,594.0,https://pypi.org/project/fairseq,2021-01-05 20:26:45.000000,20.0,24725.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n209,Sonnet,deepmind/sonnet,,ml-frameworks,https://github.com/deepmind/sonnet,https://github.com/deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35.000000,2021-11-30 10:18:29.000000,2021-11-30 10:18:21.000000,1281,22.0,146.0,9091.0,,TensorFlow-based neural network library.,53.0,27,True,2020-03-27 10:36:19.000000,2.0.0,27.0,dm-sonnet,conda-forge/sonnet,['tensorflow'],,232894.0,799.0,717.0,https://pypi.org/project/dm-sonnet,2020-03-27 10:36:10.000000,82.0,232397.0,https://anaconda.org/conda-forge/sonnet,2020-11-14 18:13:23.843000,12448.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n210,PySyft,OpenMined/PySyft,,privacy-ml,https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,Apache-2.0,2017-07-18 20:41:16.000000,2021-12-02 12:29:41.000000,2021-12-02 05:23:35.000000,1747,301.0,2753.0,7768.0,9339.0,A library for answering questions using data you cannot see.,426.0,27,True,2021-12-01 19:46:09.000000,0.6.0,61.0,syft,,['pytorch'],,2759.0,6.0,,https://pypi.org/project/syft,2021-12-01 19:46:09.000000,6.0,2759.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n211,backtrader,mementum/backtrader,,financial-data,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52.000000,2021-11-02 14:00:05.000000,2021-07-17 22:17:12.000000,2390,37.0,,7727.0,2385.0,Python Backtesting library for trading strategies.,52.0,27,False,,,155.0,backtrader,,,,11371.0,895.0,825.0,https://pypi.org/project/backtrader,2020-07-03 13:02:14.000000,70.0,11371.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n212,carla,carla-simulator/carla,,others,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000000,2021-12-02 10:24:53.000000,2021-11-19 11:13:47.000000,2041,504.0,3129.0,6926.0,5439.0,Open-source simulator for autonomous driving research.,140.0,27,True,2021-11-17 08:28:27.000000,0.9.13,24.0,carla,,,,2172.0,108.0,104.0,https://pypi.org/project/carla,2021-11-17 08:28:27.000000,4.0,2172.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n213,imageai,OlafenwaMoses/ImageAI,,image,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33.000000,2021-12-02 10:25:30.000000,2021-05-08 20:05:36.000000,1852,250.0,424.0,6693.0,292.0,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,15.0,27,True,2021-01-05 01:26:01.000000,2.1.6,10.0,imageai,,,671778.0,22202.0,1021.0,997.0,https://pypi.org/project/imageai,2021-01-05 01:26:01.000000,24.0,6935.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n214,DeepPavlov,deepmipt/DeepPavlov,,nlp,https://github.com/deepmipt/DeepPavlov,https://github.com/deepmipt/DeepPavlov,Apache-2.0,2017-11-17 14:35:29.000000,2021-12-01 16:04:37.000000,2021-09-28 17:29:02.000000,983,143.0,498.0,5504.0,2607.0,An open source library for deep learning end-to-end dialog systems and chatbots.,67.0,27,True,2021-09-28 17:35:36.000000,0.17.1,46.0,deeppavlov,,['tensorflow'],,7202.0,243.0,235.0,https://pypi.org/project/deeppavlov,2021-09-28 17:35:36.000000,8.0,7202.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n215,Metaflow,Netflix/metaflow,,ml-experiments,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000000,2021-12-02 03:53:49.000000,2021-11-30 09:58:18.000000,448,224.0,187.0,5041.0,388.0,Build and manage real-life data science projects with ease!.,41.0,27,True,2021-11-30 01:01:16.000000,2.4.4,35.0,metaflow,conda-forge/metaflow,,,27115.0,226.0,224.0,https://pypi.org/project/metaflow,2021-11-30 02:06:43.000000,2.0,25931.0,https://anaconda.org/conda-forge/metaflow,2021-11-30 06:12:11.086000,28430.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n216,Tokenizers,huggingface/tokenizers,,nlp,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000000,2021-12-02 12:12:52.000000,2021-10-07 14:56:48.000000,399,145.0,381.0,5035.0,1493.0,Fast State-of-the-Art Tokenizers optimized for Research and Production.,46.0,27,True,2021-09-08 07:18:04.000000,python-v0.11.0,62.0,tokenizers,conda-forge/tokenizers,,,3117577.0,38.0,38.0,https://pypi.org/project/tokenizers,2021-05-24 21:47:49.000000,0.0,3111513.0,https://anaconda.org/conda-forge/tokenizers,2021-09-22 14:56:29.695000,103089.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n217,Augmentor,mdbloice/Augmentor,,image,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55.000000,2021-10-15 05:38:50.000000,2021-10-15 05:38:50.000000,830,122.0,70.0,4575.0,537.0,Image augmentation library in Python for machine learning.,22.0,27,True,2021-10-14 08:49:48.000000,0.2.9,21.0,Augmentor,,,,10167.0,422.0,380.0,https://pypi.org/project/Augmentor,2021-10-14 08:49:48.000000,42.0,10167.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n218,InterpretML,interpretml/interpret,,interpretability,https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000000,2021-12-02 10:15:15.000000,2021-11-19 23:00:01.000000,531,91.0,166.0,4319.0,1791.0,Fit interpretable models. Explain blackbox machine learning.,27.0,27,True,2021-09-23 20:41:03.000000,0.2.7,37.0,interpret,,['jupyter'],,39858.0,134.0,132.0,https://pypi.org/project/interpret,2021-09-23 19:52:27.000000,2.0,39858.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n219,pyAudioAnalysis,tyiannak/pyAudioAnalysis,,audio,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13.000000,2021-11-12 09:45:54.000000,2021-11-12 09:42:45.000000,1047,173.0,114.0,4253.0,723.0,\"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.\",25.0,27,True,2021-11-12 09:45:54.000000,0.3.8,17.0,pyAudioAnalysis,,,,8257.0,263.0,241.0,https://pypi.org/project/pyAudioAnalysis,2021-11-12 09:45:54.000000,22.0,8257.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n220,skorch,skorch-dev/skorch,,ml-frameworks,https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000000,2021-11-30 10:48:50.965000,2021-11-28 00:07:58.000000,298,52.0,366.0,4233.0,973.0,A scikit-learn compatible neural network library that wraps PyTorch.,46.0,27,True,2021-10-31 15:54:20.000000,0.11.0,14.0,skorch,conda-forge/skorch,\"['pytorch', 'sklearn']\",,26477.0,438.0,412.0,https://pypi.org/project/skorch,2021-10-31 15:48:51.000000,26.0,13913.0,https://anaconda.org/conda-forge/skorch,2021-11-30 10:48:50.965000,490002.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n221,Perspective,finos/perspective,,data-viz,https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000000,2021-12-02 02:49:27.000000,2021-11-29 19:20:28.000000,416,66.0,407.0,3959.0,4878.0,\"A data visualization and analytics component, especially well-suited for large and/or streaming datasets.\",65.0,27,True,2021-11-24 03:10:29.000000,1.0.3,55.0,perspective-python,,['jupyter'],,3871.0,227.0,219.0,https://pypi.org/project/perspective-python,2021-11-24 03:10:29.000000,8.0,1974.0,,,,2.0,,,,,,,,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2021-11-23 18:46:53.499000,,1897.0,,,,,,,,,,,,,\n222,PML,KevinMusgrave/pytorch-metric-learning,,pytorch-utils,https://github.com/KevinMusgrave/pytorch-metric-learning,https://github.com/KevinMusgrave/pytorch-metric-learning,MIT,2019-10-23 17:20:35.000000,2021-12-02 08:43:17.000000,2021-11-30 11:16:47.000000,486,54.0,266.0,3868.0,802.0,\"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.\",21.0,27,True,2021-11-28 20:20:55.000000,1.0.0,166.0,pytorch-metric-learning,metric-learning/pytorch-metric-learning,['pytorch'],,105909.0,170.0,170.0,https://pypi.org/project/pytorch-metric-learning,2021-11-28 19:05:22.000000,0.0,105695.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2021-11-28 19:31:02.821000,4926.0,1.0,,,,,,,2.0,,,,,,,,,,,,,,,,,,,\n223,DeepChem,deepchem/deepchem,,others,https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000000,2021-11-30 16:43:52.000000,2021-11-30 16:38:49.000000,1208,431.0,968.0,3291.0,7315.0,\"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.\",173.0,27,True,2021-03-18 03:10:52.000000,2.5.0,353.0,deepchem,,['tensorflow'],,4610.0,69.0,65.0,https://pypi.org/project/deepchem,2021-11-30 16:43:52.000000,4.0,4610.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n224,dyNET,clab/dynet,,ml-frameworks,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21.000000,2021-09-07 23:47:31.000000,2021-01-27 15:43:03.000000,703,259.0,659.0,3264.0,3267.0,DyNet: The Dynamic Neural Network Toolkit.,156.0,27,True,2020-10-21 14:31:01.000000,2.1.2,24.0,dyNET,,,4201.0,14917.0,233.0,195.0,https://pypi.org/project/dyNET,2020-10-21 14:31:01.000000,38.0,14850.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n225,BentoML,bentoml/BentoML,,model-serialisation,https://github.com/bentoml/BentoML,https://github.com/bentoml/BentoML,Apache-2.0,2019-04-02 01:39:27.000000,2021-12-02 13:13:08.000000,2021-11-22 02:09:17.000000,346,72.0,419.0,3025.0,1161.0,Model Serving Made Easy.,90.0,27,True,2021-07-13 10:52:52.000000,0.13.1,70.0,bentoml,,,932.0,9724.0,145.0,137.0,https://pypi.org/project/bentoml,2021-07-13 07:00:28.000000,8.0,9695.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n226,plotnine,has2k1/plotnine,,data-viz,https://github.com/has2k1/plotnine,https://github.com/has2k1/plotnine,GPL-2.0,2017-04-24 19:00:44.000000,2021-11-30 10:05:16.000000,2021-11-30 09:43:37.000000,146,72.0,378.0,2863.0,1709.0,A grammar of graphics for Python.,89.0,27,False,2021-03-25 12:57:10.000000,0.8.0,11.0,plotnine,conda-forge/plotnine,,,143033.0,2942.0,2688.0,https://pypi.org/project/plotnine,2021-03-25 10:49:20.000000,254.0,140485.0,https://anaconda.org/conda-forge/plotnine,2021-03-25 12:31:04.423000,140194.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n227,ClearML,allegroai/clearml,,ml-experiments,https://github.com/allegroai/clearml,https://github.com/allegroai/clearml,Apache-2.0,2019-06-10 08:18:32.000000,2021-12-02 09:28:35.000000,2021-12-02 09:28:35.000000,394,132.0,282.0,2827.0,1437.0,\"ClearML - Auto-Magical Suite of tools to streamline your ML workflow. Experiment Manager, MLOps and Data-Management.\",40.0,27,True,2021-11-08 09:06:16.000000,1.1.4,51.0,clearml,,,376.0,46448.0,160.0,160.0,https://pypi.org/project/clearml,2021-11-28 17:42:16.000000,0.0,45433.0,,,,2.0,,allegroai/trains,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,30094.0,,,,,,,,,,,,,,,,,,,,\n228,Captum,pytorch/captum,,interpretability,https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000000,2021-12-02 03:13:00.000000,2021-12-02 03:12:58.000000,293,75.0,223.0,2801.0,872.0,Model interpretability and understanding for PyTorch.,77.0,27,True,2021-11-02 21:47:58.000000,0.4.1,7.0,captum,,['pytorch'],,28468.0,324.0,324.0,https://pypi.org/project/captum,2021-11-02 02:41:19.000000,0.0,28468.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n229,Catalyst,catalyst-team/catalyst,,ml-experiments,https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13.000000,2021-12-02 09:28:18.000000,2021-12-02 09:27:24.000000,350,10.0,318.0,2790.0,1658.0,Accelerated deep learning R&D.,101.0,27,True,2021-11-30 07:36:48.000000,21.11,103.0,catalyst,,['pytorch'],,9510.0,479.0,441.0,https://pypi.org/project/catalyst,2021-11-30 07:53:23.000000,38.0,9510.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n230,pomegranate,jmschrei/pomegranate,,probabilistics,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000000,2021-12-01 22:51:35.000000,2021-11-20 02:50:26.000000,509,59.0,606.0,2783.0,930.0,\"Fast, flexible and easy to use probabilistic modelling in Python.\",65.0,27,True,2021-11-01 20:09:53.000000,0.14.6,67.0,pomegranate,conda-forge/pomegranate,,,38168.0,633.0,577.0,https://pypi.org/project/pomegranate,2021-11-19 21:46:05.000000,56.0,35535.0,https://anaconda.org/conda-forge/pomegranate,2021-11-16 01:22:35.020000,76379.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n231,nlpaug,makcedward/nlpaug,,nlp,https://github.com/makcedward/nlpaug,https://github.com/makcedward/nlpaug,MIT,2019-03-21 03:00:17.000000,2021-12-01 15:44:08.000000,2021-12-01 15:40:42.000000,308,24.0,129.0,2700.0,691.0,Data augmentation for NLP.,24.0,27,True,2021-12-01 15:44:08.000000,1.1.9,35.0,nlpaug,,,,27154.0,214.0,212.0,https://pypi.org/project/nlpaug,2021-12-01 15:43:27.000000,2.0,27154.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n232,gpustat,wookayin/gpustat,,gpu-utilities,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43.000000,2021-11-07 22:16:42.000000,2021-08-13 10:24:05.000000,206,22.0,56.0,2650.0,170.0,A simple command-line utility for querying and monitoring GPU status.,12.0,27,True,2019-07-22 06:37:00.000000,0.6.0,11.0,gpustat,conda-forge/gpustat,,,294089.0,1510.0,1452.0,https://pypi.org/project/gpustat,2021-01-02 05:59:41.000000,58.0,291133.0,https://anaconda.org/conda-forge/gpustat,2020-11-24 19:59:04.772000,97573.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n233,sklearn-pandas,scikit-learn-contrib/sklearn-pandas,,data-containers,https://github.com/scikit-learn-contrib/sklearn-pandas,https://github.com/scikit-learn-contrib/sklearn-pandas,Zlib,2013-04-22 22:55:20.000000,2021-10-17 18:07:36.000000,2021-05-08 08:05:59.000000,393,25.0,127.0,2523.0,287.0,Pandas integration with sklearn.,37.0,27,False,2021-05-08 08:32:08.000000,2.1.0,27.0,sklearn-pandas,,\"['sklearn', 'pandas']\",,358790.0,3353.0,3131.0,https://pypi.org/project/sklearn-pandas,2021-05-08 08:14:28.000000,222.0,358790.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n234,spark-nlp,JohnSnowLabs/spark-nlp,,nlp,https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000000,2021-12-02 14:41:14.000000,2021-12-02 10:38:52.000000,512,91.0,514.0,2497.0,13057.0,State of the Art Natural Language Processing.,103.0,27,True,2021-11-25 15:16:53.000000,3.3.4,97.0,spark-nlp,,['spark'],,1058048.0,0.0,,https://pypi.org/project/spark-nlp,2021-11-25 14:32:50.000000,0.0,1058048.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n235,GluonNLP,dmlc/gluon-nlp,,nlp,https://github.com/dmlc/gluon-nlp,https://github.com/dmlc/gluon-nlp,Apache-2.0,2018-04-04 20:57:13.000000,2021-10-12 07:24:36.000000,2021-08-24 19:11:38.000000,519,260.0,295.0,2345.0,840.0,\"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..\",82.0,27,True,2020-08-13 19:17:42.000000,0.10.0,26.0,gluonnlp,,['mxnet'],,160963.0,684.0,662.0,https://pypi.org/project/gluonnlp,2020-08-13 19:17:42.000000,22.0,160963.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n236,pytorch-optimizer,jettify/pytorch-optimizer,,pytorch-utils,https://github.com/jettify/pytorch-optimizer,https://github.com/jettify/pytorch-optimizer,Apache-2.0,2020-01-03 03:16:39.000000,2021-11-29 10:09:32.000000,2021-11-11 16:56:57.000000,205,16.0,28.0,2217.0,430.0,torch-optimizer -- collection of optimizers for Pytorch.,25.0,27,True,2021-10-31 03:00:19.000000,0.3.0,21.0,torch_optimizer,,['pytorch'],,49737.0,400.0,400.0,https://pypi.org/project/torch_optimizer,2021-10-31 03:00:19.000000,0.0,49737.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n237,dtreeviz,parrt/dtreeviz,,interpretability,https://github.com/parrt/dtreeviz,https://github.com/parrt/dtreeviz,MIT,2018-08-13 21:45:15.000000,2021-11-30 10:32:47.000000,2021-11-15 22:04:42.000000,229,22.0,90.0,1791.0,372.0,A python library for decision tree visualization and model interpretation.,16.0,27,True,2021-11-10 22:55:11.000000,1.3.2,25.0,dtreeviz,,,,136544.0,273.0,269.0,https://pypi.org/project/dtreeviz,2021-11-10 22:51:55.000000,4.0,136544.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n238,MNE,mne-tools/mne-python,,medical-data,https://github.com/mne-tools/mne-python,https://github.com/mne-tools/mne-python,BSD-3-Clause,2011-01-28 03:31:13.000000,2021-12-02 14:21:11.000000,2021-12-02 14:21:11.000000,973,354.0,3520.0,1748.0,,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,274.0,27,True,2021-12-01 22:27:11.000000,0.24.1,58.0,mne,conda-forge/mne,,,29987.0,1469.0,1271.0,https://pypi.org/project/mne,2021-12-01 22:27:11.000000,198.0,26953.0,https://anaconda.org/conda-forge/mne,2021-12-02 00:46:15.614000,176013.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n239,TFX,tensorflow/tfx,,data-pipelines,https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000000,2021-12-02 05:40:04.000000,2021-12-01 02:34:18.000000,519,249.0,475.0,1649.0,3980.0,TFX is an end-to-end platform for deploying production ML pipelines.,125.0,27,True,2021-11-17 03:34:21.000000,1.4.0,65.0,tfx,,['tensorflow'],,568950.0,4.0,,https://pypi.org/project/tfx,2021-11-17 03:34:21.000000,4.0,568950.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n240,jellyfish,jamesturk/jellyfish,,nlp,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,BSD-2-Clause,2010-07-09 20:41:11.000000,2021-11-27 00:31:52.397000,2021-11-16 18:49:21.000000,142,9.0,98.0,1558.0,,a python library for doing approximate and phonetic matching of strings.,25.0,27,True,2021-10-26 15:22:58.000000,0.8.9,31.0,jellyfish,conda-forge/jellyfish,,,1179390.0,3628.0,2982.0,https://pypi.org/project/jellyfish,2021-10-26 15:22:58.000000,646.0,1176894.0,https://anaconda.org/conda-forge/jellyfish,2021-11-27 00:31:52.397000,157284.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n241,GPflow,GPflow/GPflow,,probabilistics,https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000000,2021-12-01 15:07:52.000000,2021-11-30 12:17:33.000000,411,119.0,620.0,1538.0,2248.0,Gaussian processes in TensorFlow.,72.0,27,True,2021-10-26 09:45:06.000000,2.3.0,32.0,gpflow,conda-forge/gpflow,['tensorflow'],,5312.0,346.0,312.0,https://pypi.org/project/gpflow,2021-10-26 09:45:06.000000,34.0,5085.0,https://anaconda.org/conda-forge/gpflow,2018-11-06 08:51:39.744000,9774.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n242,torchaudio,pytorch/audio,,audio,https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000000,2021-12-02 12:45:04.000000,2021-11-30 20:20:55.000000,358,132.0,437.0,1484.0,1168.0,\"Data manipulation and transformation for audio signal processing, powered by PyTorch.\",143.0,27,True,2021-10-21 15:55:34.000000,0.10.0,17.0,torchaudio,,['pytorch'],,233261.0,18.0,,https://pypi.org/project/torchaudio,2021-10-21 15:06:46.000000,18.0,233261.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n243,petastorm,uber/petastorm,,distributed-ml,https://github.com/uber/petastorm,https://github.com/uber/petastorm,Apache-2.0,2018-06-15 23:15:29.000000,2021-10-27 18:10:41.000000,2021-10-27 18:10:41.000000,215,135.0,132.0,1297.0,664.0,Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets..,43.0,27,True,2021-09-04 05:47:24.000000,0.11.3,75.0,petastorm,,,309.0,100178.0,47.0,47.0,https://pypi.org/project/petastorm,2021-09-04 05:47:24.000000,0.0,100171.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n244,snakemake,snakemake/snakemake,,ml-experiments,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867000,2021-12-02 08:57:49.000000,2021-11-29 16:01:31.000000,272,529.0,292.0,1173.0,,\"This is the development home of the workflow management system Snakemake. For general information, see.\",229.0,27,True,2021-11-29 16:02:47.000000,6.12.1,193.0,snakemake,bioconda/snakemake,,,21049.0,1266.0,978.0,https://pypi.org/project/snakemake,2021-11-29 16:03:06.000000,288.0,16241.0,https://anaconda.org/bioconda/snakemake,2021-11-29 17:01:23.028000,355818.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n245,Mesh,tensorflow/mesh,,distributed-ml,https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34.000000,2021-11-09 23:55:29.000000,2021-10-18 19:57:56.000000,195,88.0,14.0,1158.0,643.0,Mesh TensorFlow: Model Parallelism Made Easier.,44.0,27,True,2021-03-24 19:03:46.000000,0.1.19,25.0,mesh-tensorflow,,['tensorflow'],,260285.0,663.0,607.0,https://pypi.org/project/mesh-tensorflow,2021-03-24 19:03:46.000000,56.0,260285.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n246,arviz,arviz-devs/arviz,,interpretability,https://github.com/arviz-devs/arviz,https://github.com/arviz-devs/arviz,Apache-2.0,2015-07-29 11:51:10.000000,2021-12-02 12:12:32.000000,2021-11-15 18:56:19.000000,252,193.0,551.0,1117.0,,Exploratory analysis of Bayesian models with Python.,104.0,27,True,2021-10-03 11:17:21.000000,0.11.4,25.0,arviz,conda-forge/arviz,,111.0,239332.0,1673.0,1637.0,https://pypi.org/project/arviz,2021-10-03 11:17:21.000000,36.0,221026.0,https://anaconda.org/conda-forge/arviz,2021-10-03 15:30:41.137000,567441.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n247,PyVista,pyvista/pyvista,,data-viz,https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000000,2021-12-02 08:04:10.000000,2021-12-02 02:30:33.000000,196,173.0,464.0,1017.0,2250.0,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,64.0,27,True,2021-09-11 20:03:16.000000,0.32.1,49.0,pyvista,conda-forge/pyvista,['jupyter'],383.0,28666.0,553.0,527.0,https://pypi.org/project/pyvista,2021-09-11 20:03:16.000000,26.0,24420.0,https://anaconda.org/conda-forge/pyvista,2021-09-12 01:56:26.368000,131417.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n248,petl,petl-developers/petl,,data-pipelines,https://github.com/petl-developers/petl,https://github.com/petl-developers/petl,MIT,2011-08-19 09:51:03.000000,2021-10-15 03:48:10.000000,2021-10-15 01:37:34.000000,163,73.0,351.0,949.0,1154.0,Python Extract Transform and Load Tables of Data.,51.0,27,True,2021-10-15 03:48:10.000000,1.7.5,79.0,petl,conda-forge/petl,,,28851.0,680.0,566.0,https://pypi.org/project/petl,2021-03-27 03:06:14.000000,114.0,28119.0,https://anaconda.org/conda-forge/petl,2021-04-05 21:49:41.242000,46157.0,2.0,http://petl.readthedocs.org,,,,,,,,,,,,,,,,,,,,,,,,,\n249,kmodes,nicodv/kmodes,,others,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40.000000,2021-10-08 04:35:56.000000,2021-10-08 04:32:34.000000,354,19.0,122.0,929.0,470.0,\"Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data.\",19.0,27,True,2021-10-08 04:41:31.000000,0.11.1,14.0,kmodes,,,,211505.0,904.0,878.0,https://pypi.org/project/kmodes,2021-10-08 04:35:56.000000,26.0,211505.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n250,igraph,igraph/python-igraph,,graph,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16.000000,2021-12-02 13:20:56.000000,2021-11-29 08:16:22.000000,206,27.0,316.0,900.0,1836.0,Python interface for igraph.,56.0,27,False,2021-10-29 01:08:18.000000,0.9.8,25.0,python-igraph,conda-forge/igraph,,286249.0,138839.0,786.0,362.0,https://pypi.org/project/python-igraph,2021-10-29 00:55:02.000000,424.0,129637.0,https://anaconda.org/conda-forge/igraph,2021-11-12 06:30:55.873000,261534.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n251,PyNNDescent,lmcinnes/pynndescent,,nn-search,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000000,2021-11-29 16:05:37.000000,2021-10-22 18:18:33.000000,69,41.0,47.0,521.0,529.0,A Python nearest neighbor descent for approximate nearest neighbors.,17.0,27,True,2021-10-15 14:06:19.000000,0.5.5,24.0,pynndescent,conda-forge/pynndescent,,,1327060.0,999.0,993.0,https://pypi.org/project/pynndescent,2021-10-15 13:34:09.000000,6.0,1313572.0,https://anaconda.org/conda-forge/pynndescent,2021-10-15 15:32:23.572000,404650.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n252,hvPlot,holoviz/hvplot,,data-viz,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000000,2021-11-30 14:15:06.000000,2021-11-30 14:15:06.000000,61,136.0,261.0,481.0,426.0,\"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.\",33.0,27,True,2021-07-26 16:25:50.000000,0.7.3,36.0,hvplot,conda-forge/hvplot,,,103389.0,948.0,918.0,https://pypi.org/project/hvplot,2021-07-23 11:33:46.000000,30.0,99963.0,https://anaconda.org/conda-forge/hvplot,2021-07-23 14:04:28.244000,137064.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n253,DIPY,dipy/dipy,,medical-data,https://github.com/dipy/dipy,https://github.com/dipy/dipy,BSD-3-Clause,2010-02-06 11:43:08.000000,2021-12-02 14:53:42.000000,2021-11-19 17:32:50.000000,331,123.0,636.0,479.0,11737.0,\"DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal..\",127.0,27,True,2021-03-14 14:05:15.000000,1.4.0,23.0,dipy,conda-forge/dipy,,,10729.0,561.0,467.0,https://pypi.org/project/dipy,2021-05-06 04:40:48.000000,94.0,6678.0,https://anaconda.org/conda-forge/dipy,2021-05-06 13:36:55.402000,271480.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n254,audioread,beetbox/audioread,,audio,https://github.com/beetbox/audioread,https://github.com/beetbox/audioread,MIT,2011-11-08 19:53:18.000000,2021-12-01 15:32:51.000000,2021-11-30 19:40:12.000000,89,31.0,45.0,379.0,245.0,cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python.,21.0,27,True,2020-10-20 11:23:09.000000,2.1.9,25.0,audioread,conda-forge/audioread,,,393699.0,7321.0,6735.0,https://pypi.org/project/audioread,2020-10-20 11:23:09.000000,586.0,388091.0,https://anaconda.org/conda-forge/audioread,2021-11-07 14:43:40.465000,364577.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n255,detectron2,facebookresearch/detectron2,,image,https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000000,2021-12-02 13:10:44.000000,2021-12-01 20:05:58.000000,5019,143.0,2634.0,19064.0,,\"Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.\",195.0,26,True,2021-11-15 22:08:26.000000,0.6,10.0,,conda-forge/detectron2,['pytorch'],,1832.0,422.0,422.0,,,,,https://anaconda.org/conda-forge/detectron2,2021-07-30 18:54:13.472000,34816.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n256,PaddleOCR,PaddlePaddle/PaddleOCR,,ocr,https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000000,2021-12-02 12:52:31.000000,2021-11-22 04:16:55.000000,3550,961.0,2545.0,17709.0,,\"Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages..\",72.0,26,True,2021-05-26 11:43:06.000000,2.1.1,19.0,paddleocr,,['paddle'],,33301.0,429.0,429.0,https://pypi.org/project/paddleocr,2021-11-17 08:44:28.000000,0.0,33301.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n257,MMDetection,open-mmlab/mmdetection,,image,https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000000,2021-12-02 10:55:57.000000,2021-11-30 14:13:41.000000,6210,366.0,4456.0,17423.0,1838.0,OpenMMLab Detection Toolbox and Benchmark.,283.0,26,True,2021-11-30 14:15:59.000000,2.19.0,21.0,,,['pytorch'],,,186.0,186.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n258,Magenta,magenta/magenta,,audio,https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40.000000,2021-10-18 02:01:53.000000,2021-06-30 21:44:13.000000,3518,321.0,569.0,17230.0,,Magenta: Music and Art Generation with Machine Intelligence.,149.0,26,True,2020-11-12 19:17:18.000000,2.1.3,66.0,magenta,,['tensorflow'],,6055.0,391.0,321.0,https://pypi.org/project/magenta,2020-11-12 19:17:18.000000,70.0,6055.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n259,CNTK,microsoft/CNTK,,ml-frameworks,https://github.com/microsoft/CNTK,https://github.com/microsoft/CNTK,MIT,2015-11-26 09:52:06.000000,2021-08-27 04:46:43.000000,2020-03-31 15:55:14.000000,4402,836.0,2524.0,17122.0,16116.0,\"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.\",270.0,26,False,2019-04-26 14:13:32.000000,2.7,32.0,cntk,,,13893.0,1335.0,34.0,,https://pypi.org/project/cntk,2020-12-09 22:21:57.000000,34.0,1140.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n260,Faiss,facebookresearch/faiss,,nn-search,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000000,2021-12-02 08:00:58.000000,2021-12-02 07:55:01.000000,2391,216.0,1442.0,15286.0,,A library for efficient similarity search and clustering of dense vectors.,90.0,26,True,2021-06-09 09:16:17.000000,1.1.2,57.0,pymilvus,conda-forge/faiss,,,25514.0,514.0,508.0,https://pypi.org/project/pymilvus,2021-11-01 10:54:41.000000,6.0,14119.0,https://anaconda.org/conda-forge/faiss,2021-11-20 08:01:48.432000,216520.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n261,Prophet,facebook/prophet,,time-series-data,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000000,2021-11-09 17:34:47.000000,2021-10-03 23:20:15.000000,3879,158.0,1574.0,13754.0,,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,137.0,26,True,2021-04-02 23:45:16.000000,1.0,14.0,fbprophet,,,638.0,859773.0,150.0,,https://pypi.org/project/fbprophet,2020-09-05 16:12:50.000000,150.0,859762.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n262,baselines,openai/baselines,,reinforcement-learning,https://github.com/openai/baselines,https://github.com/openai/baselines,MIT,2017-05-24 01:58:13.000000,2021-10-26 01:03:48.000000,2020-01-31 13:06:18.000000,4144,472.0,430.0,12093.0,347.0,OpenAI Baselines: high-quality implementations of reinforcement learning algorithms.,114.0,26,False,2018-02-26 17:07:07.000000,0.1.5,6.0,baselines,,,,1087.0,428.0,354.0,https://pypi.org/project/baselines,2018-02-26 17:07:07.000000,74.0,1087.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n263,Turi Create,apple/turicreate,,ml-frameworks,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04.000000,2021-11-29 19:55:31.000000,2021-11-29 19:55:31.000000,1111,484.0,1281.0,10501.0,,Turi Create simplifies the development of custom machine learning models.,82.0,26,True,2020-09-30 22:51:40.000000,6.4.1,31.0,turicreate,,,4920.0,19971.0,313.0,279.0,https://pypi.org/project/turicreate,2020-09-30 22:51:40.000000,34.0,19869.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n264,TensorLayer,tensorlayer/tensorlayer,,reinforcement-learning,https://github.com/tensorlayer/tensorlayer,https://github.com/tensorlayer/tensorlayer,Apache-2.0,2016-06-07 15:55:16.000000,2021-10-29 08:29:08.000000,2021-10-29 08:29:08.000000,1487,20.0,437.0,6782.0,3350.0,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,132.0,26,True,2021-01-06 07:16:21.000000,2.2.4,82.0,tensorlayer,,['tensorflow'],1287.0,2096.0,68.0,,https://pypi.org/project/tensorlayer,2020-06-19 00:53:37.000000,68.0,2076.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n265,Facets Overview,pair-code/facets,,data-viz,https://github.com/PAIR-code/facets,https://github.com/PAIR-code/facets,Apache-2.0,2017-07-07 14:03:03.000000,2021-11-29 10:48:23.000000,2021-05-06 12:01:05.000000,834,76.0,76.0,6734.0,264.0,Visualizations for machine learning datasets.,28.0,26,True,2019-07-24 15:57:06.000000,1.0.0,4.0,facets-overview,,['jupyter'],,138541.0,97.0,91.0,https://pypi.org/project/facets-overview,2019-07-24 15:57:06.000000,6.0,138541.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n266,EfficientNet-PyTorch,lukemelas/EfficientNet-PyTorch,,pytorch-utils,https://github.com/lukemelas/EfficientNet-PyTorch,https://github.com/lukemelas/EfficientNet-PyTorch,Apache-2.0,2019-05-30 05:24:11.000000,2021-11-02 08:10:31.000000,2021-04-15 15:16:36.000000,1306,130.0,134.0,6663.0,162.0,A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!).,24.0,26,True,2021-04-15 15:17:23.000000,0.7.1,13.0,efficientnet-pytorch,,['pytorch'],1005344.0,222158.0,14.0,,https://pypi.org/project/efficientnet-pytorch,2021-04-15 15:17:23.000000,14.0,174285.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n267,tsfresh,blue-yonder/tsfresh,,time-series-data,https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17.000000,2021-11-18 20:18:15.000000,2021-10-31 20:49:30.000000,924,42.0,432.0,6052.0,398.0,Automatic extraction of relevant features from time series:.,79.0,26,True,2021-03-06 08:49:53.000000,0.18.0,26.0,tsfresh,conda-forge/tsfresh,['sklearn'],,208171.0,66.0,,https://pypi.org/project/tsfresh,2020-09-09 21:08:22.000000,66.0,206793.0,https://anaconda.org/conda-forge/tsfresh,2021-03-07 06:57:04.012000,67565.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n268,DeepSpeed,microsoft/DeepSpeed,,distributed-ml,https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,MIT,2020-01-23 18:35:18.000000,2021-12-02 06:10:51.000000,2021-12-02 06:10:51.000000,649,372.0,367.0,5955.0,802.0,\"DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.\",84.0,26,True,2021-12-01 01:16:49.000000,0.5.8,39.0,deepspeed,,['pytorch'],,32149.0,122.0,122.0,https://pypi.org/project/deepspeed,2021-12-01 01:15:45.000000,0.0,31624.0,,,,2.0,,deepspeed/deepspeed,https://hub.docker.com/r/deepspeed/deepspeed,2021-05-05 21:39:11.981563,3.0,12075.0,,,,,,,,,,,,,,,,,,,,\n269,OCRmyPDF,jbarlow83/OCRmyPDF,,ocr,https://github.com/jbarlow83/OCRmyPDF,https://github.com/jbarlow83/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000000,2021-11-16 00:38:14.000000,2021-11-15 08:32:58.000000,498,93.0,682.0,5299.0,3074.0,\"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.\",57.0,26,True,2021-11-04 21:51:31.000000,12.7.2,186.0,ocrmypdf,,,,15738.0,12.0,,https://pypi.org/project/ocrmypdf,2021-11-13 20:54:23.000000,12.0,15738.0,,,,2.0,,,,,,,,,,,,,,,ocrmypdf,,ocrmypdf,,,,,,,,,\n270,librosa,librosa/librosa,,audio,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000000,2021-11-29 20:40:54.000000,2021-11-29 15:28:32.000000,773,47.0,883.0,4869.0,,Python library for audio and music analysis.,92.0,26,True,2021-05-26 10:15:06.000000,0.8.1,31.0,librosa,conda-forge/librosa,,,406268.0,1750.0,,https://pypi.org/project/librosa,2021-05-26 10:15:06.000000,1750.0,399884.0,https://anaconda.org/conda-forge/librosa,2021-05-26 10:44:27.607000,415014.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n271,sktime,alan-turing-institute/sktime,,time-series-data,https://github.com/alan-turing-institute/sktime,https://github.com/alan-turing-institute/sktime,BSD-3-Clause,2018-11-06 15:08:24.000000,2021-12-02 13:46:23.000000,2021-12-02 00:30:14.000000,689,251.0,501.0,4700.0,,A unified framework for machine learning with time series.,131.0,26,True,2021-10-28 19:14:26.000000,0.8.1,18.0,sktime,,['sklearn'],64.0,101506.0,297.0,297.0,https://pypi.org/project/sktime,2021-10-28 19:14:26.000000,0.0,101504.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n272,kaggle,Kaggle/kaggle-api,,ml-experiments,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000000,2021-11-28 20:23:07.000000,2021-03-15 15:49:05.000000,862,190.0,143.0,4433.0,145.0,Official Kaggle API.,36.0,26,True,2021-03-13 00:50:03.000000,1.5.12,48.0,kaggle,conda-forge/kaggle,,,302067.0,564.0,,https://pypi.org/project/kaggle,2021-03-13 00:50:03.000000,564.0,299676.0,https://anaconda.org/conda-forge/kaggle,2021-11-15 19:59:06.419000,74121.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n273,pyfolio,quantopian/pyfolio,,financial-data,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39.000000,2021-09-29 21:14:06.000000,2020-07-15 13:46:58.000000,1263,134.0,265.0,4145.0,1184.0,Portfolio and risk analytics in Python.,55.0,26,False,2019-04-15 15:00:21.000000,0.9.2,22.0,pyfolio,conda-forge/pyfolio,,,4862.0,389.0,335.0,https://pypi.org/project/pyfolio,2019-04-15 15:00:21.000000,54.0,4695.0,https://anaconda.org/conda-forge/pyfolio,2020-05-16 14:11:57.267000,7682.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n274,lightfm,lyst/lightfm,,recommender-systems,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00.000000,2021-10-29 14:19:26.000000,2021-02-07 21:16:06.000000,610,90.0,344.0,3864.0,428.0,\"A Python implementation of LightFM, a hybrid recommendation algorithm.\",44.0,26,True,2020-11-27 19:48:30.000000,1.16,14.0,lightfm,conda-forge/lightfm,,,180599.0,649.0,593.0,https://pypi.org/project/lightfm,2020-11-27 19:55:08.000000,56.0,178250.0,https://anaconda.org/conda-forge/lightfm,2021-02-07 22:19:58.097000,110444.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n275,AutoGluon,awslabs/autogluon,,hyperopt,https://github.com/awslabs/autogluon,https://github.com/awslabs/autogluon,Apache-2.0,2019-07-29 18:51:24.000000,2021-12-02 09:04:22.000000,2021-11-26 07:00:33.000000,500,130.0,435.0,3843.0,708.0,\"AutoGluon: AutoML for Text, Image, and Tabular Data.\",62.0,26,True,2021-08-31 20:48:52.000000,0.3.1,619.0,autogluon,,['mxnet'],,15937.0,84.0,84.0,https://pypi.org/project/autogluon,2021-12-02 09:04:22.000000,0.0,15937.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n276,BigDL,intel-analytics/BigDL,,distributed-ml,https://github.com/intel-analytics/BigDL,https://github.com/intel-analytics/BigDL,Apache-2.0,2016-08-29 07:59:50.000000,2021-12-02 12:56:07.000000,2021-12-02 08:57:17.000000,951,325.0,768.0,3806.0,2679.0,Building Large-Scale AI Applications for Distributed Big Data.,127.0,26,True,2021-07-09 12:20:26.000000,0.13.0,58.0,bigdl,,,,10255.0,29.0,29.0,https://pypi.org/project/bigdl,2021-12-02 12:56:07.000000,0.0,10255.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,com.intel.analytics.bigdl:bigdl-SPARK_2.4,https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4,2021-04-20 01:33:14.000000,0.0,\n277,Activeloop,activeloopai/Hub,,data-pipelines,https://github.com/activeloopai/Hub,https://github.com/activeloopai/Hub,MPL-2.0,2019-08-09 06:17:59.000000,2021-12-02 14:13:18.000000,2021-12-02 14:13:18.000000,306,67.0,262.0,3730.0,2201.0,Dataset format for AI. Easily build and manage datasets for machine and deep learning. Stream data real-time &..,88.0,26,True,2021-11-29 01:57:28.000000,2.1.1,119.0,hub,,,,1589.0,186.0,134.0,https://pypi.org/project/hub,2021-11-29 01:56:04.000000,52.0,1589.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n278,Alpha Vantage,RomelTorres/alpha_vantage,,financial-data,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00.000000,2021-10-26 23:23:33.000000,2021-06-14 05:10:42.000000,624,14.0,248.0,3542.0,497.0,A python wrapper for Alpha Vantage API for financial data.,39.0,26,True,2020-12-21 02:37:29.000000,2.3.1,28.0,alpha_vantage,,,,18883.0,202.0,,https://pypi.org/project/alpha_vantage,2018-08-26 18:55:11.000000,202.0,18883.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n279,pytorch-summary,sksq96/pytorch-summary,,pytorch-utils,https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04.000000,2021-06-20 09:40:21.000000,2021-05-10 18:34:53.000000,374,118.0,39.0,3334.0,57.0,Model summary in PyTorch similar to `model.summary()` in Keras.,11.0,26,True,2018-09-26 05:07:28.000000,1.5.1,12.0,torchsummary,,['pytorch'],,94446.0,3919.0,3801.0,https://pypi.org/project/torchsummary,2018-09-26 05:07:28.000000,118.0,94446.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n280,deepface,serengil/deepface,,image,https://github.com/serengil/deepface,https://github.com/serengil/deepface,MIT,2020-02-08 20:42:28.000000,2021-11-24 07:47:13.000000,2021-11-24 07:47:12.000000,629,5.0,353.0,2805.0,642.0,\"A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python.\",18.0,26,True,2021-08-20 15:03:44.000000,0.0.68,67.0,deepface,,,,24870.0,314.0,314.0,https://pypi.org/project/deepface,2021-08-20 15:03:44.000000,0.0,24870.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n281,VisPy,vispy/vispy,,data-viz,https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22.000000,2021-11-29 12:53:50.000000,2021-11-29 12:53:49.000000,582,289.0,999.0,2766.0,,High-performance interactive 2D/3D data visualization library.,166.0,26,True,2021-11-24 17:23:39.000000,0.9.4,27.0,vispy,conda-forge/vispy,['jupyter'],,30726.0,761.0,639.0,https://pypi.org/project/vispy,2021-11-24 16:27:44.000000,122.0,26832.0,https://anaconda.org/conda-forge/vispy,2021-11-24 21:55:08.590000,194116.0,3.0,,,,,,,,,vispy,https://www.npmjs.com/package/vispy,2020-03-15 14:39:41.516000,,12.0,,,,,,,,,,,,,\n282,haystack,deepset-ai/haystack,,nlp,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000000,2021-12-02 15:29:41.000000,2021-12-02 15:04:01.000000,547,144.0,868.0,2761.0,934.0,Haystack is an open source NLP framework that leverages Transformer models. It enables developers to implement..,81.0,26,True,2021-09-16 08:31:17.000000,0.10.0,34.0,haystack,,,,1580.0,258.0,92.0,https://pypi.org/project/haystack,2017-07-03 04:44:52.000000,166.0,1580.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n283,Sumy,miso-belica/sumy,,nlp,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48.000000,2021-11-23 21:07:29.000000,2021-11-23 21:07:29.000000,462,15.0,79.0,2692.0,,Module for automatic summarization of text documents and HTML pages.,21.0,26,True,2021-10-21 17:24:42.000000,0.9.0,14.0,sumy,,,,19045.0,1202.0,1010.0,https://pypi.org/project/sumy,2021-10-21 17:24:42.000000,192.0,19045.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n284,aubio,aubio/aubio,,audio,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44.000000,2021-11-09 17:08:03.654000,2021-01-19 09:51:49.000000,331,127.0,175.0,2587.0,4111.0,a library for audio and music analysis.,24.0,26,False,2019-02-27 09:00:43.000000,0.4.9,10.0,aubio,conda-forge/aubio,,,11616.0,309.0,273.0,https://pypi.org/project/aubio,2019-02-08 11:21:02.000000,36.0,3303.0,https://anaconda.org/conda-forge/aubio,2021-11-09 17:08:03.654000,473852.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n285,implicit,benfred/implicit,,recommender-systems,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000000,2021-12-02 05:41:13.000000,2021-10-02 05:11:29.000000,509,89.0,283.0,2549.0,,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,30.0,26,True,2021-08-29 04:23:02.000000,0.4.8,38.0,implicit,conda-forge/implicit,,,92664.0,554.0,510.0,https://pypi.org/project/implicit,2021-08-29 04:23:02.000000,44.0,85895.0,https://anaconda.org/conda-forge/implicit,2021-08-29 07:42:53.163000,318186.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n286,eli5,TeamHG-Memex/eli5,,interpretability,https://github.com/TeamHG-Memex/eli5,https://github.com/TeamHG-Memex/eli5,MIT,2016-09-15 01:04:57.000000,2021-06-10 22:02:56.000000,2020-01-22 07:39:36.000000,313,153.0,110.0,2473.0,1198.0,A library for debugging/inspecting machine learning classifiers and explaining their predictions.,14.0,26,False,2021-01-23 14:25:24.000000,0.11.0,28.0,eli5,conda-forge/eli5,,,1225327.0,110.0,,https://pypi.org/project/eli5,2021-01-23 14:25:24.000000,110.0,1223405.0,https://anaconda.org/conda-forge/eli5,2021-01-25 08:24:59.385000,105760.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n287,Core ML Tools,apple/coremltools,,model-serialisation,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000000,2021-11-11 20:52:48.000000,2021-11-10 15:56:44.000000,389,318.0,513.0,2458.0,,\"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.\",117.0,26,True,2021-11-09 18:32:21.000000,5.1.0,35.0,coremltools,,,3802.0,56666.0,958.0,692.0,https://pypi.org/project/coremltools,2021-11-09 18:32:21.000000,266.0,56592.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n288,StellarGraph,stellargraph/stellargraph,,graph,https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51.000000,2021-11-05 18:02:28.000000,2021-10-29 06:15:49.000000,319,249.0,729.0,2219.0,2515.0,StellarGraph - Machine Learning on Graphs.,36.0,26,True,2020-06-30 05:15:21.000000,1.2.1,25.0,stellargraph,,['tensorflow'],,16281.0,103.0,99.0,https://pypi.org/project/stellargraph,2020-06-30 05:10:43.000000,4.0,16281.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n289,ipyparallel,ipython/ipyparallel,,distributed-ml,https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,BSD-3-Clause,2015-04-09 07:43:55.000000,2021-12-02 14:29:25.000000,2021-12-02 07:08:49.000000,809,63.0,262.0,2116.0,,IPython Parallel: Interactive Parallel Computing in Python.,104.0,26,True,2021-09-30 12:56:24.000000,7.1.0,34.0,ipyparallel,conda-forge/ipyparallel,['jupyter'],,51753.0,2232.0,1742.0,https://pypi.org/project/ipyparallel,2021-11-12 13:31:42.000000,490.0,43864.0,https://anaconda.org/conda-forge/ipyparallel,2021-12-02 07:17:02.707000,536474.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n290,Hyperas,maxpumperla/hyperas,,hyperopt,https://github.com/maxpumperla/hyperas,https://github.com/maxpumperla/hyperas,MIT,2016-02-19 14:45:10.000000,2021-11-19 13:23:59.000000,2021-11-19 13:23:56.000000,305,88.0,158.0,2105.0,211.0,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,21.0,26,True,2019-02-28 09:16:54.000000,0.4.1,9.0,hyperas,,['tensorflow'],,13459.0,264.0,222.0,https://pypi.org/project/hyperas,2019-02-28 09:16:54.000000,42.0,13459.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n291,Foolbox,bethgelab/foolbox,,adversarial,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48.000000,2021-11-10 19:47:32.000000,2021-06-05 09:38:18.000000,371,61.0,269.0,2081.0,1648.0,\"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.\",32.0,26,True,2021-02-23 07:09:34.000000,3.3.1,68.0,foolbox,,,,2444.0,272.0,254.0,https://pypi.org/project/foolbox,2021-02-23 07:07:53.000000,18.0,2444.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n292,pandas-ta,twopirllc/pandas-ta,,probabilistics,https://github.com/twopirllc/pandas-ta,https://github.com/twopirllc/pandas-ta,MIT,2019-02-19 16:41:09.000000,2021-11-27 22:47:41.000000,2021-11-16 21:57:10.000000,435,57.0,263.0,1894.0,,Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators.,44.0,26,True,2021-07-28 20:21:21.000000,0.3.14,19.0,pandas-ta,,['pandas'],,64008.0,331.0,331.0,https://pypi.org/project/pandas-ta,2021-07-28 20:51:17.000000,0.0,64008.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n293,tslearn,tslearn-team/tslearn,,time-series-data,https://github.com/tslearn-team/tslearn,https://github.com/tslearn-team/tslearn,BSD-2-Clause,2017-05-04 13:08:13.000000,2021-12-02 13:53:30.000000,2021-12-02 08:43:31.000000,245,68.0,178.0,1890.0,,A machine learning toolkit dedicated to time-series data.,34.0,26,True,2021-08-16 07:09:52.000000,0.5.2,94.0,tslearn,conda-forge/tslearn,['sklearn'],,80866.0,377.0,355.0,https://pypi.org/project/tslearn,2021-08-16 07:29:50.000000,22.0,75474.0,https://anaconda.org/conda-forge/tslearn,2021-08-16 11:07:26.939000,242682.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n294,langid,saffsd/langid.py,,nlp,https://github.com/saffsd/langid.py,https://github.com/saffsd/langid.py,BSD-3-Clause,2011-04-29 00:16:56.000000,2020-01-01 10:49:30.000000,2017-07-15 02:49:17.000000,276,26.0,45.0,1885.0,242.0,Stand-alone language identification system.,9.0,26,False,2016-04-05 22:34:15.000000,1.1.6,8.0,langid,,,,253188.0,1107.0,857.0,https://pypi.org/project/langid,2016-04-05 22:34:15.000000,250.0,253188.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n295,hnswlib,nmslib/hnswlib,,nn-search,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000000,2021-11-30 21:24:15.000000,2021-06-30 05:17:40.000000,330,116.0,118.0,1785.0,315.0,Header-only C++/python library for fast approximate nearest neighbors.,46.0,26,True,2021-06-30 22:24:23.000000,0.5.2,6.0,hnswlib,,,,129480.0,174.0,172.0,https://pypi.org/project/hnswlib,2021-06-30 22:24:23.000000,2.0,129480.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n296,TextAttack,QData/TextAttack,,adversarial,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000000,2021-11-21 18:24:48.000000,2021-11-21 18:24:48.000000,214,39.0,148.0,1748.0,2386.0,\"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP..\",46.0,26,True,2021-11-10 01:36:28.000000,0.3.4,42.0,textattack,,,,1984.0,45.0,45.0,https://pypi.org/project/textattack,2021-11-10 01:36:28.000000,0.0,1984.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n297,mtcnn,ipazc/mtcnn,,image,https://github.com/ipazc/mtcnn,https://github.com/ipazc/mtcnn,MIT,2018-01-05 04:08:32.000000,2021-11-22 17:31:06.000000,2021-07-09 11:06:18.000000,430,62.0,37.0,1679.0,56.0,\"MTCNN face detection implementation for TensorFlow, as a PIP package.\",15.0,26,True,2021-07-09 11:16:39.000000,0.1.1,11.0,mtcnn,,['tensorflow'],,22388.0,1736.0,1694.0,https://pypi.org/project/mtcnn,2021-07-09 11:16:39.000000,42.0,22388.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n298,Ax,facebook/Ax,,hyperopt,https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000000,2021-12-02 02:57:27.000000,2021-12-02 02:57:24.000000,173,33.0,287.0,1650.0,,Adaptive Experimentation Platform.,108.0,26,True,2021-09-15 03:59:33.000000,0.2.2,24.0,ax-platform,,['pytorch'],,95269.0,226.0,222.0,https://pypi.org/project/ax-platform,2021-09-15 03:59:33.000000,4.0,95269.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n299,datasketch,ekzhu/datasketch,,data-containers,https://github.com/ekzhu/datasketch,https://github.com/ekzhu/datasketch,MIT,2015-03-20 01:21:46.000000,2021-10-27 14:26:10.000000,2021-06-02 06:48:06.000000,228,25.0,96.0,1628.0,195.0,\"MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble.\",18.0,26,True,2020-12-23 21:01:43.000000,1.5.3,75.0,datasketch,,,18.0,265171.0,418.0,332.0,https://pypi.org/project/datasketch,2020-12-23 21:01:43.000000,86.0,265171.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n300,tesserocr,sirfz/tesserocr,,ocr,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36.000000,2021-11-09 18:12:48.000000,2021-11-09 18:12:47.000000,202,73.0,158.0,1556.0,178.0,A Python wrapper for the tesseract-ocr API.,26.0,26,True,2021-06-19 21:10:18.000000,2.5.2,16.0,tesserocr,conda-forge/tesserocr,,,54983.0,676.0,576.0,https://pypi.org/project/tesserocr,2021-06-19 21:10:18.000000,100.0,52618.0,https://anaconda.org/conda-forge/tesserocr,2021-01-13 16:38:14.456000,61510.0,2.0,,,,,,,-2.0,,,,,,,,,,,,,,,,,,,\n301,Elephas,maxpumperla/elephas,,distributed-ml,https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19.000000,2021-11-18 11:51:00.000000,2021-08-17 01:01:38.000000,290,25.0,135.0,1518.0,501.0,Distributed Deep learning with Keras & Spark.,27.0,26,True,2021-08-17 01:14:44.000000,3.0.0,22.0,elephas,,\"['keras', 'spark']\",,34111.0,53.0,50.0,https://pypi.org/project/elephas,2021-08-17 00:36:20.000000,3.0,34111.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n302,shapash,MAIF/shapash,,interpretability,https://github.com/MAIF/shapash,https://github.com/MAIF/shapash,Apache-2.0,2020-04-29 07:34:23.000000,2021-12-01 09:14:30.000000,2021-12-01 09:14:30.000000,190,8.0,81.0,1423.0,938.0,Shapash makes Machine Learning models transparent and understandable by everyone.,29.0,26,True,2021-09-27 09:00:46.000000,1.5.0,15.0,shapash,,['jupyter'],,10952.0,52.0,52.0,https://pypi.org/project/shapash,2021-09-27 09:00:46.000000,,10952.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n303,ViZDoom,mwydmuch/ViZDoom,,reinforcement-learning,https://github.com/mwydmuch/ViZDoom,https://github.com/mwydmuch/ViZDoom,MIT,2015-06-26 18:38:23.000000,2021-11-28 12:26:39.000000,2021-11-28 12:26:39.000000,309,89.0,340.0,1288.0,1521.0,Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information.,45.0,26,True,2021-11-22 11:15:55.000000,1.1.11,22.0,vizdoom,,,11403.0,1259.0,142.0,118.0,https://pypi.org/project/vizdoom,2021-11-22 11:16:41.000000,24.0,1094.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n304,ArcGIS API,Esri/arcgis-python-api,,geospatial-data,https://github.com/Esri/arcgis-python-api,https://github.com/Esri/arcgis-python-api,Apache-2.0,2016-03-16 01:09:14.000000,2021-12-02 11:06:59.000000,2021-12-02 11:06:59.000000,819,112.0,288.0,1177.0,3300.0,Documentation and samples for ArcGIS API for Python.,73.0,26,True,2021-10-04 20:36:31.000000,1.9.1,31.0,arcgis,,,843.0,40878.0,20.0,,https://pypi.org/project/arcgis,2021-10-04 17:20:11.000000,20.0,40788.0,,,,3.0,,esridocker/arcgis-api-python-notebook,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,2021-10-05 23:20:06.966942,33.0,5325.0,,,,,,,,,,,,,,,,,,,,\n305,TabPy,tableau/TabPy,,others,https://github.com/tableau/TabPy,https://github.com/tableau/TabPy,MIT,2016-09-27 21:26:03.000000,2021-11-24 19:05:40.000000,2021-10-11 22:49:25.000000,433,16.0,267.0,1164.0,842.0,Execute Python code on the fly and display results in Tableau visualizations:.,43.0,26,True,2021-08-20 14:18:35.000000,2.4.0,25.0,tabpy,,,,9574.0,78.0,78.0,https://pypi.org/project/tabpy,2021-08-20 14:18:35.000000,0.0,9574.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n306,spacy-transformers,explosion/spacy-transformers,,nlp,https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000000,2021-12-02 12:42:44.000000,2021-10-28 07:14:22.000000,127,1.0,,1061.0,1380.0,\"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.\",18.0,26,True,2021-10-28 07:35:51.000000,1.1.2,56.0,spacy-transformers,,['spacy'],,118058.0,339.0,333.0,https://pypi.org/project/spacy-transformers,2021-10-28 07:29:55.000000,6.0,118058.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n307,ktrain,amaiya/ktrain,,ml-frameworks,https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39.000000,2021-11-23 15:55:56.000000,2021-11-23 15:55:56.000000,224,6.0,372.0,922.0,2545.0,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,12.0,26,True,2021-11-05 20:42:40.000000,0.28.3,161.0,ktrain,,['tensorflow'],,22699.0,243.0,241.0,https://pypi.org/project/ktrain,2021-11-05 20:30:43.000000,2.0,22699.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n308,pingouin,raphaelvallat/pingouin,,probabilistics,https://github.com/raphaelvallat/pingouin,https://github.com/raphaelvallat/pingouin,GPL-3.0,2018-04-01 01:10:22.000000,2021-12-01 08:01:52.000000,2021-10-29 19:20:53.000000,76,20.0,154.0,850.0,1156.0,Statistical package in Python based on Pandas.,22.0,26,False,2021-10-28 22:09:53.000000,0.5.0,35.0,pingouin,conda-forge/pingouin,,,177220.0,407.0,397.0,https://pypi.org/project/pingouin,2021-10-28 21:59:14.000000,10.0,175882.0,https://anaconda.org/conda-forge/pingouin,2021-10-29 00:37:42.640000,48200.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n309,Nilearn,nilearn/nilearn,,medical-data,https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000000,2021-12-02 10:57:22.000000,2021-11-30 08:21:22.000000,438,270.0,1275.0,789.0,,Machine learning for NeuroImaging in Python.,175.0,26,True,2021-09-16 14:49:56.000000,0.8.1,38.0,nilearn,conda-forge/nilearn,['sklearn'],14.0,17255.0,1600.0,1298.0,https://pypi.org/project/nilearn,2021-09-16 14:47:18.000000,302.0,15296.0,https://anaconda.org/conda-forge/nilearn,2021-09-16 18:04:31.312000,131181.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n310,Hail,hail-is/hail,,medical-data,https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000000,2021-12-02 01:52:03.000000,2021-12-02 01:52:03.000000,200,55.0,1967.0,763.0,7617.0,Scalable genomic data analysis.,76.0,26,True,2021-11-19 18:16:55.000000,0.2.79,99.0,hail,,['spark'],,14270.0,45.0,45.0,https://pypi.org/project/hail,2021-11-19 18:16:55.000000,0.0,14270.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n311,mahotas,luispedro/mahotas,,image,https://github.com/luispedro/mahotas,https://github.com/luispedro/mahotas,MIT,2010-01-31 00:13:06.000000,2021-11-17 20:03:30.117000,2021-11-10 09:10:43.000000,136,16.0,60.0,721.0,1284.0,Computer Vision in Python.,32.0,26,True,2020-08-16 17:22:48.000000,1.4.11,58.0,mahotas,conda-forge/mahotas,,,13724.0,901.0,711.0,https://pypi.org/project/mahotas,2021-10-14 12:53:24.000000,190.0,9270.0,https://anaconda.org/conda-forge/mahotas,2021-11-17 20:03:30.117000,307385.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n312,CLTK,cltk/cltk,,nlp,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000000,2021-12-01 23:04:34.000000,2021-10-21 22:56:32.000000,301,121.0,487.0,694.0,3592.0,The Classical Language Toolkit.,113.0,26,True,2021-10-17 05:32:29.000000,1.0.21,191.0,cltk,,,22.0,1366.0,251.0,183.0,https://pypi.org/project/cltk,2021-10-17 05:32:29.000000,68.0,1366.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n313,SMAC3,automl/SMAC3,,hyperopt,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-3-Clause,2016-08-17 10:58:05.000000,2021-11-18 18:18:52.000000,2021-11-05 09:44:04.000000,170,67.0,282.0,632.0,2048.0,Sequential Model-based Algorithm Configuration.,38.0,26,True,2021-10-21 07:38:01.000000,1.1.0,34.0,smac,,,,29321.0,58.0,,https://pypi.org/project/smac,2021-11-05 10:44:49.000000,58.0,29321.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n314,SALib,SALib/SALib,,probabilistics,https://github.com/SALib/SALib,https://github.com/SALib/SALib,MIT,2013-05-30 13:38:10.000000,2021-11-25 13:20:11.000000,2021-11-25 13:20:11.000000,166,50.0,219.0,544.0,965.0,\"Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.\",34.0,26,True,2021-09-04 09:49:51.000000,1.4.5,40.0,salib,conda-forge/salib,,,68042.0,44.0,,https://pypi.org/project/salib,2021-09-04 05:27:03.000000,44.0,66839.0,https://anaconda.org/conda-forge/salib,2021-09-04 07:03:28.179000,73389.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n315,mpi4py,mpi4py/mpi4py,,distributed-ml,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-2-Clause,2013-09-05 14:44:25.000000,2021-11-25 23:30:14.783000,2021-11-25 21:50:26.000000,74,12.0,41.0,480.0,2441.0,Python bindings for MPI.,20.0,26,True,2021-11-25 21:07:13.000000,3.1.3,17.0,mpi4py,conda-forge/mpi4py,,2568.0,167566.0,752.0,,https://pypi.org/project/mpi4py,2021-11-25 21:07:13.000000,752.0,153932.0,https://anaconda.org/conda-forge/mpi4py,2021-11-25 23:30:14.783000,849437.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n316,pysc2,deepmind/pysc2,,others,https://github.com/deepmind/pysc2,https://github.com/deepmind/pysc2,Apache-2.0,2017-07-25 18:16:57.000000,2021-08-13 05:11:09.000000,2019-09-27 15:23:22.000000,1112,60.0,204.0,7383.0,513.0,StarCraft II Learning Environment.,34.0,25,False,2019-09-27 15:48:01.000000,3.0.0,7.0,pysc2,,,27710.0,1838.0,353.0,313.0,https://pypi.org/project/pysc2,2019-09-27 15:48:01.000000,40.0,1306.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n317,PaddleHub,PaddlePaddle/PaddleHub,,others,https://github.com/PaddlePaddle/PaddleHub,https://github.com/PaddlePaddle/PaddleHub,Apache-2.0,2018-12-21 06:00:48.000000,2021-12-02 09:47:07.000000,2021-11-17 13:01:33.000000,1435,348.0,616.0,7231.0,,\"Awesome pre-trained models toolkit based on PaddlePaddle.(300+ models including Image, Text, Audio and Video with Easy..\",48.0,25,True,2021-09-27 12:05:48.000000,2.1.1,46.0,paddlehub,,['paddle'],560.0,7990.0,592.0,592.0,https://pypi.org/project/paddlehub,2021-09-27 12:05:48.000000,0.0,7974.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n318,Vaex,vaexio/vaex,,data-containers,https://github.com/vaexio/vaex,https://github.com/vaexio/vaex,MIT,2014-09-27 09:44:42.000000,2021-12-02 10:22:44.000000,2021-11-30 07:40:59.000000,530,353.0,607.0,6763.0,3323.0,\"Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualize and explore big tabular data at a billion..\",61.0,25,True,2021-11-26 13:53:29.000000,4.6.0,56.0,vaex,conda-forge/vaex,,220.0,18671.0,4.0,,https://pypi.org/project/vaex,2021-11-26 13:53:29.000000,4.0,16746.0,https://anaconda.org/conda-forge/vaex,2021-11-30 10:56:24.298000,119284.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n319,Trax,google/trax,,others,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000000,2021-11-16 22:32:32.000000,2021-11-16 22:32:28.000000,662,82.0,119.0,6630.0,1589.0,Trax Deep Learning with Clear Code and Speed.,74.0,25,True,2021-10-26 20:29:38.000000,1.4.1,24.0,trax,,,,3043.0,39.0,39.0,https://pypi.org/project/trax,2021-10-26 20:27:35.000000,,3043.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n320,stanza,stanfordnlp/stanza,,nlp,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56.000000,2021-12-02 07:26:55.000000,2021-11-18 23:03:56.000000,738,65.0,538.0,5848.0,,Official Stanford NLP Python Library for Many Human Languages.,41.0,25,True,2021-10-06 06:28:19.000000,1.3.0,14.0,stanza,stanfordnlp/stanza,,,55185.0,763.0,759.0,https://pypi.org/project/stanza,2021-10-05 06:37:56.000000,4.0,54976.0,https://anaconda.org/stanfordnlp/stanza,2021-10-05 07:17:34.873000,4398.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n321,Great Expectations,great-expectations/great_expectations,,data-pipelines,https://github.com/great-expectations/great_expectations,https://github.com/great-expectations/great_expectations,Apache-2.0,2017-09-11 00:18:46.000000,2021-12-02 15:05:24.000000,2021-12-02 14:50:43.000000,762,176.0,962.0,5732.0,,Always know what to expect from your data.,250.0,25,True,2021-11-24 21:26:48.000000,0.13.44,134.0,great_expectations,,,,1828331.0,6.0,,https://pypi.org/project/great_expectations,2021-11-24 20:59:17.000000,6.0,1828331.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n322,Face Alignment,1adrianb/face-alignment,,image,https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44.000000,2021-11-16 17:00:34.000000,2021-08-04 06:54:21.000000,1120,51.0,215.0,5368.0,205.0,2D and 3D Face alignment library build using pytorch.,23.0,25,True,2021-09-14 15:35:24.000000,1.3.5,11.0,face-alignment,,['pytorch'],,5611.0,12.0,,https://pypi.org/project/face-alignment,2021-09-14 15:35:24.000000,12.0,5611.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n323,keras-rl,keras-rl/keras-rl,,reinforcement-learning,https://github.com/keras-rl/keras-rl,https://github.com/keras-rl/keras-rl,MIT,2016-07-02 15:53:12.000000,2020-11-20 07:32:13.000000,2019-11-11 22:14:54.000000,1323,40.0,219.0,5148.0,308.0,Deep Reinforcement Learning for Keras.,40.0,25,False,2018-06-01 07:52:24.000000,0.4.2,8.0,keras-rl,,['tensorflow'],,1367.0,639.0,537.0,https://pypi.org/project/keras-rl,2018-06-01 07:52:24.000000,102.0,1367.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n324,scikit-surprise,NicolasHug/Surprise,,recommender-systems,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38.000000,2021-11-18 20:15:44.176000,2020-08-05 17:45:59.000000,886,51.0,292.0,5125.0,622.0,A Python scikit for building and analyzing recommender systems.,38.0,25,False,2020-07-19 14:50:48.000000,1.1.1,9.0,scikit-surprise,conda-forge/scikit-surprise,,,56934.0,48.0,,https://pypi.org/project/scikit-surprise,2020-07-19 14:50:48.000000,48.0,52626.0,https://anaconda.org/conda-forge/scikit-surprise,2021-11-18 20:15:44.176000,202486.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n325,Edward,blei-lab/edward,,probabilistics,https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05.000000,2019-10-22 20:30:48.000000,2018-07-25 01:28:08.000000,767,212.0,328.0,4670.0,1796.0,\"A probabilistic programming language in TensorFlow. Deep generative models, variational inference.\",87.0,25,False,2018-01-22 06:03:37.000000,1.3.5,28.0,edward,,['tensorflow'],15.0,2138.0,325.0,247.0,https://pypi.org/project/edward,2018-01-22 06:03:05.000000,78.0,2138.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n326,VisualDL,PaddlePaddle/VisualDL,,ml-experiments,https://github.com/PaddlePaddle/VisualDL,https://github.com/PaddlePaddle/VisualDL,Apache-2.0,2017-12-20 12:34:31.000000,2021-11-30 07:04:07.000000,2021-11-26 06:55:16.000000,577,54.0,331.0,4246.0,,Deep Learning Visualization Toolkit.,31.0,25,True,2021-09-07 02:12:38.000000,2.2.1,34.0,visualdl,,['paddle'],156.0,39687.0,832.0,822.0,https://pypi.org/project/visualdl,2021-11-09 12:29:34.000000,10.0,39679.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n327,mlpack,mlpack/mlpack,,ml-frameworks,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59.000000,2021-11-29 18:48:17.000000,2021-11-20 16:36:02.000000,1377,103.0,1330.0,3847.0,27248.0,mlpack: a scalable C++ machine learning library --.,280.0,25,True,2020-10-28 18:28:47.000000,3.4.2,40.0,mlpack,conda-forge/mlpack,,,2446.0,0.0,,https://pypi.org/project/mlpack,2020-10-28 18:28:47.000000,0.0,131.0,https://anaconda.org/conda-forge/mlpack,2021-11-09 18:05:21.719000,94939.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n328,vaderSentiment,cjhutto/vaderSentiment,,nlp,https://github.com/cjhutto/vaderSentiment,https://github.com/cjhutto/vaderSentiment,MIT,2014-11-17 16:31:45.000000,2021-06-15 23:12:57.000000,2021-03-15 18:43:06.000000,817,33.0,74.0,3284.0,127.0,VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based..,10.0,25,True,2020-05-22 15:07:00.000000,3.3.2,15.0,vadersentiment,,,,168563.0,3503.0,3217.0,https://pypi.org/project/vadersentiment,2020-05-22 15:07:00.000000,286.0,168563.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n329,polars,pola-rs/polars,,data-containers,https://github.com/pola-rs/polars,https://github.com/pola-rs/polars,MIT,2020-05-13 19:45:33.000000,2021-12-02 14:50:51.000000,2021-12-02 10:47:12.000000,193,81.0,666.0,3246.0,2644.0,Fast multi-threaded DataFrame library in Rust and Python.,57.0,25,True,2021-11-28 10:39:06.000000,0.10.25,112.0,polars,,,,14260.0,5.0,5.0,https://pypi.org/project/polars,2021-11-28 10:39:06.000000,0.0,14260.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n330,TensorForce,tensorforce/tensorforce,,reinforcement-learning,https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22.000000,2021-11-10 20:00:27.000000,2021-11-10 20:00:19.000000,512,7.0,614.0,3056.0,2090.0,Tensorforce: a TensorFlow library for applied reinforcement learning.,81.0,25,True,2021-08-30 20:20:58.000000,0.6.5,14.0,tensorforce,,['tensorflow'],,924.0,46.0,,https://pypi.org/project/tensorforce,2019-09-07 13:56:18.000000,46.0,924.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n331,D-Tale,man-group/dtale,,data-viz,https://github.com/man-group/dtale,https://github.com/man-group/dtale,LGPL-2.1,2019-07-15 09:34:48.000000,2021-12-02 14:11:48.000000,2021-12-02 14:11:42.000000,218,35.0,398.0,2810.0,539.0,Visualizer for pandas data structures.,18.0,25,True,2021-11-18 04:17:35.000000,1.61.1,141.0,dtale,conda-forge/dtale,\"['pandas', 'jupyter']\",,37212.0,268.0,268.0,https://pypi.org/project/dtale,2021-11-18 04:17:35.000000,0.0,32757.0,https://anaconda.org/conda-forge/dtale,2021-11-18 04:41:08.411000,98027.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n332,Neural Network Libraries,sony/nnabla,,ml-frameworks,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10.000000,2021-12-02 04:34:54.000000,2021-12-01 02:50:41.000000,309,32.0,44.0,2510.0,2915.0,Neural Network Libraries.,63.0,25,True,2021-11-25 10:43:29.000000,1.23.0,60.0,nnabla,,,532.0,2029.0,34.0,,https://pypi.org/project/nnabla,2021-11-25 08:13:14.000000,34.0,2019.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n333,causalml,uber/causalml,,others,https://github.com/uber/causalml,https://github.com/uber/causalml,Apache-2.0,2019-07-09 02:08:58.000000,2021-12-01 21:28:05.000000,2021-12-01 21:28:04.000000,376,48.0,188.0,2464.0,377.0,Uplift modeling and causal inference with machine learning algorithms.,30.0,25,True,2021-08-02 20:49:15.000000,0.11.1,15.0,causalml,,,,32588.0,33.0,33.0,https://pypi.org/project/causalml,2021-08-02 20:49:15.000000,0.0,32588.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n334,neuralcoref,huggingface/neuralcoref,,nlp,https://github.com/huggingface/neuralcoref,https://github.com/huggingface/neuralcoref,MIT,2017-07-03 13:04:16.000000,2021-10-10 04:28:21.000000,2021-06-22 10:51:48.000000,422,60.0,228.0,2436.0,116.0,Fast Coreference Resolution in spaCy with Neural Networks.,21.0,25,True,2019-04-08 11:28:27.000000,4.0.0,5.0,neuralcoref,conda-forge/neuralcoref,,282.0,20991.0,440.0,422.0,https://pypi.org/project/neuralcoref,2019-04-08 09:56:00.000000,18.0,20521.0,https://anaconda.org/conda-forge/neuralcoref,2020-02-21 22:10:40.453000,10250.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n335,fastNLP,fastnlp/fastNLP,,nlp,https://github.com/fastnlp/fastNLP,https://github.com/fastnlp/fastNLP,Apache-2.0,2018-03-07 13:30:20.000000,2021-12-02 12:25:13.000000,2021-10-15 03:26:15.000000,400,35.0,143.0,2411.0,1756.0,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,53.0,25,True,2020-11-06 15:31:29.000000,0.6.0,10.0,fastnlp,,,65.0,1231.0,51.0,49.0,https://pypi.org/project/fastnlp,2019-02-04 02:35:37.000000,2.0,1230.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n336,Acme,deepmind/acme,,reinforcement-learning,https://github.com/deepmind/acme,https://github.com/deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000000,2021-12-01 16:38:20.000000,2021-12-01 16:37:43.000000,282,57.0,93.0,2404.0,646.0,A library of reinforcement learning components and agents.,53.0,25,True,2021-08-27 13:09:44.000000,0.2.2,11.0,dm-acme,,['tensorflow'],,1909.0,47.0,47.0,https://pypi.org/project/dm-acme,2021-08-27 13:10:10.000000,0.0,1909.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n337,scikit-plot,reiinakano/scikit-plot,,interpretability,https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59.000000,2021-08-11 23:58:11.000000,2018-08-19 12:37:47.000000,254,21.0,39.0,2153.0,130.0,An intuitive library to add plotting functionality to scikit-learn objects.,13.0,25,False,2018-08-19 12:21:01.000000,0.3.7,27.0,scikit-plot,conda-forge/scikit-plot,['sklearn'],,326772.0,1556.0,1502.0,https://pypi.org/project/scikit-plot,2018-08-19 12:18:46.000000,54.0,324840.0,https://anaconda.org/conda-forge/scikit-plot,2019-06-05 14:23:59.043000,102396.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n338,BoTorch,pytorch/botorch,,hyperopt,https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000000,2021-12-01 23:33:54.000000,2021-11-30 06:56:53.000000,228,60.0,170.0,2136.0,,Bayesian optimization in PyTorch.,61.0,25,True,2021-09-02 20:51:30.000000,0.5.1,18.0,botorch,,['pytorch'],,112931.0,187.0,187.0,https://pypi.org/project/botorch,2021-09-02 20:51:30.000000,0.0,112931.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n339,Alphalens,quantopian/alphalens,,financial-data,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15.000000,2021-11-22 16:28:18.000000,2020-04-27 18:40:41.000000,791,38.0,145.0,2105.0,522.0,Performance analysis of predictive (alpha) stock factors.,25.0,25,False,2020-04-30 15:42:52.000000,0.4.0,10.0,alphalens,conda-forge/alphalens,,,2111.0,494.0,466.0,https://pypi.org/project/alphalens,2020-04-27 21:03:10.000000,28.0,1810.0,https://anaconda.org/conda-forge/alphalens,2020-05-16 13:52:44.922000,13871.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n340,python_speech_features,jameslyons/python_speech_features,,audio,https://github.com/jameslyons/python_speech_features,https://github.com/jameslyons/python_speech_features,MIT,2013-10-31 02:42:08.000000,2021-10-20 10:08:48.000000,2020-12-31 13:27:01.000000,570,23.0,51.0,2006.0,120.0,This library provides common speech features for ASR including MFCCs and filterbank energies.,19.0,25,True,2020-01-14 14:12:10.000000,0.6.1,6.0,python_speech_features,,,,87692.0,300.0,,https://pypi.org/project/python_speech_features,2017-08-16 01:46:13.000000,300.0,87692.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n341,pgmpy,pgmpy/pgmpy,,probabilistics,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000000,2021-11-23 15:48:30.000000,2021-11-23 15:48:29.000000,606,212.0,548.0,1936.0,6.0,Python Library for learning (Structure and Parameter) and inference (Probabilistic and Causal) in Bayesian Networks.,100.0,25,True,2021-09-30 16:00:43.000000,0.1.16,15.0,pgmpy,,,115.0,54264.0,298.0,286.0,https://pypi.org/project/pgmpy,2021-09-30 15:45:27.000000,12.0,54258.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n342,PyFunctional,EntilZha/PyFunctional,,data-pipelines,https://github.com/EntilZha/PyFunctional,https://github.com/EntilZha/PyFunctional,MIT,2015-02-05 17:17:51.000000,2021-11-26 14:50:52.000000,2021-11-05 18:58:53.000000,104,5.0,119.0,1930.0,520.0,Python library for creating data pipelines with chain functional programming.,25.0,25,True,2021-01-12 19:21:07.000000,1.4.3,14.0,pyfunctional,,,,57037.0,366.0,366.0,https://pypi.org/project/pyfunctional,2021-01-12 19:14:48.000000,0.0,57037.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n343,polyglot,aboSamoor/polyglot,,nlp,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,GPL-3.0,2014-06-30 02:07:45.000000,2021-04-28 03:41:03.000000,2020-09-22 22:35:28.000000,305,135.0,64.0,1926.0,271.0,Multilingual text (NLP) processing toolkit.,26.0,25,False,2016-07-03 20:05:42.000000,16.7.4,8.0,polyglot,,,,64227.0,740.0,610.0,https://pypi.org/project/polyglot,2016-07-03 20:05:42.000000,130.0,64227.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n344,Pandaral·lel,nalepae/pandarallel,,data-containers,https://github.com/nalepae/pandarallel,https://github.com/nalepae/pandarallel,BSD-3-Clause,2019-03-10 11:58:29.000000,2021-10-17 19:32:08.000000,2021-10-17 19:29:29.000000,121,75.0,64.0,1864.0,128.0,A simple and efficient tool to parallelize Pandas operations on all availableCPUs.,18.0,25,True,2021-10-17 19:32:08.000000,1.5.4,31.0,pandarallel,,\"['pandas', 'jupyter']\",,153262.0,350.0,350.0,https://pypi.org/project/pandarallel,2021-10-17 19:32:08.000000,0.0,153262.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n345,swifter,jmcarpenter2/swifter,,data-containers,https://github.com/jmcarpenter2/swifter,https://github.com/jmcarpenter2/swifter,MIT,2018-04-07 21:37:19.000000,2021-10-27 19:07:25.000000,2021-06-25 21:30:09.000000,84,21.0,83.0,1831.0,427.0,A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner.,14.0,25,True,2021-06-25 21:31:10.000000,1.0.9,73.0,swifter,conda-forge/swifter,['pandas'],,102669.0,456.0,424.0,https://pypi.org/project/swifter,2021-06-25 21:31:10.000000,32.0,98802.0,https://anaconda.org/conda-forge/swifter,2021-06-26 01:03:15.021000,123755.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n346,scattertext,JasonKessler/scattertext,,nlp,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12.000000,2021-11-15 13:11:26.058000,2021-11-15 03:48:32.000000,233,17.0,65.0,1708.0,356.0,Beautiful visualizations of how language differs among document types.,12.0,25,True,2021-11-15 04:01:17.000000,0.1.5,134.0,scattertext,conda-forge/scattertext,,,3828.0,262.0,246.0,https://pypi.org/project/scattertext,2021-11-15 04:01:17.000000,16.0,2700.0,https://anaconda.org/conda-forge/scattertext,2021-11-15 13:11:26.058000,58699.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n347,mljar-supervised,mljar/mljar-supervised,,hyperopt,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000000,2021-12-01 12:50:54.000000,2021-12-01 12:50:54.000000,229,70.0,373.0,1682.0,973.0,\"Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and..\",14.0,25,True,2021-10-01 07:25:05.000000,0.11.1,75.0,mljar-supervised,,,,99381.0,25.0,25.0,https://pypi.org/project/mljar-supervised,2021-10-01 07:25:05.000000,,99381.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n348,chainercv,chainer/chainercv,,image,https://github.com/chainer/chainercv,https://github.com/chainer/chainercv,MIT,2017-02-13 04:15:10.000000,2021-07-01 16:54:50.000000,2020-01-07 11:48:31.000000,318,54.0,168.0,1461.0,4930.0,ChainerCV: a Library for Deep Learning in Computer Vision.,39.0,25,False,2019-06-12 11:55:02.000000,0.13.1,24.0,chainercv,,,,2838.0,332.0,272.0,https://pypi.org/project/chainercv,2019-06-12 11:55:40.000000,60.0,2838.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n349,Alibi,SeldonIO/alibi,,interpretability,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Apache-2.0,2019-02-26 10:10:56.000000,2021-12-02 13:58:13.000000,2021-12-02 11:01:58.000000,158,102.0,143.0,1389.0,341.0,Algorithms for explaining machine learning models.,18.0,25,True,2021-11-18 13:42:16.000000,0.6.2,21.0,alibi,,,,9668.0,140.0,122.0,https://pypi.org/project/alibi,2021-11-18 13:40:41.000000,18.0,9668.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n350,PyCUDA,inducer/pycuda,,gpu-utilities,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000000,2021-12-01 17:35:05.000000,2021-12-01 17:35:04.000000,244,65.0,150.0,1241.0,,\"CUDA integration for Python, plus shiny features.\",74.0,25,True,2019-08-12 04:15:37.000000,2019.1.2,47.0,pycuda,,,,23702.0,1369.0,1077.0,https://pypi.org/project/pycuda,2021-04-03 22:28:54.000000,292.0,23702.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n351,metric-learn,scikit-learn-contrib/metric-learn,,others,https://github.com/scikit-learn-contrib/metric-learn,https://github.com/scikit-learn-contrib/metric-learn,MIT,2013-11-02 08:29:47.000000,2021-11-18 16:12:53.000000,2021-11-17 13:54:36.000000,216,52.0,117.0,1194.0,280.0,Metric learning algorithms in Python.,21.0,25,True,2020-07-02 12:59:23.000000,0.6.2,10.0,metric-learn,,['sklearn'],,5463.0,198.0,180.0,https://pypi.org/project/metric-learn,2020-07-02 12:59:23.000000,18.0,5463.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n352,tensorly,tensorly/tensorly,,others,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52.000000,2021-12-01 17:41:12.000000,2021-12-01 17:41:12.000000,220,47.0,127.0,1126.0,,TensorLy: Tensor Learning in Python.,48.0,25,True,2021-11-08 13:38:03.000000,0.7.0,18.0,tensorly,conda-forge/tensorly,,,9471.0,213.0,193.0,https://pypi.org/project/tensorly,2021-11-08 13:38:03.000000,20.0,5199.0,https://anaconda.org/conda-forge/tensorly,2020-12-07 22:44:30.386000,183712.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n353,PennyLane,PennyLaneAI/PennyLane,,others,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000000,2021-12-02 15:23:55.000000,2021-12-02 14:50:05.000000,327,148.0,416.0,1089.0,2259.0,PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum..,82.0,25,True,2021-11-25 06:59:29.000000,0.19.1,29.0,pennylane,,,59.0,8759.0,20.0,,https://pypi.org/project/pennylane,2021-11-25 06:59:29.000000,20.0,8758.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n354,fancyimpute,iskandr/fancyimpute,,sklearn-utils,https://github.com/iskandr/fancyimpute,https://github.com/iskandr/fancyimpute,Apache-2.0,2015-11-05 23:39:34.000000,2021-10-21 17:50:40.000000,2021-10-21 17:45:17.000000,160,1.0,111.0,1020.0,202.0,Multivariate imputation and matrix completion algorithms implemented in Python.,12.0,25,True,2021-10-21 17:50:40.000000,0.7.0,29.0,fancyimpute,,['sklearn'],,5522.0,1143.0,1101.0,https://pypi.org/project/fancyimpute,2021-10-21 17:50:40.000000,42.0,5522.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n355,Streamz,python-streamz/streamz,,time-series-data,https://github.com/python-streamz/streamz,https://github.com/python-streamz/streamz,BSD-3-Clause,2017-04-04 21:45:49.000000,2021-11-02 13:02:08.000000,2021-11-02 13:02:08.000000,126,103.0,144.0,1004.0,775.0,Real-time stream processing for python.,43.0,25,True,2021-10-04 14:47:39.000000,0.6.3,16.0,streamz,conda-forge/streamz,,,12374.0,265.0,249.0,https://pypi.org/project/streamz,2021-10-04 14:47:39.000000,16.0,8007.0,https://anaconda.org/conda-forge/streamz,2021-10-04 16:06:59.119000,222721.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n356,PySAL,pysal/pysal,,geospatial-data,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42.000000,2021-10-18 18:27:28.000000,2021-10-18 18:27:28.000000,273,11.0,591.0,943.0,4136.0,PySAL: Python Spatial Analysis Library Meta-Package.,73.0,25,True,2021-08-01 00:02:42.000000,2.5.0,26.0,pysal,conda-forge/pysal,,,18845.0,36.0,,https://pypi.org/project/pysal,2021-08-01 00:14:07.000000,36.0,12233.0,https://anaconda.org/conda-forge/pysal,2021-08-02 16:50:41.186000,429832.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n357,bcolz,Blosc/bcolz,,data-containers,https://github.com/Blosc/bcolz,https://github.com/Blosc/bcolz,BSD-3-Clause,2010-08-18 15:27:02.000000,2021-09-07 20:42:40.000000,2020-09-10 12:12:45.000000,123,126.0,122.0,934.0,1280.0,A columnar data container that can be compressed.,33.0,25,False,2018-04-13 07:44:26.000000,1.2.1,23.0,bcolz,conda-forge/bcolz,,,11797.0,2641.0,1673.0,https://pypi.org/project/bcolz,2018-04-13 07:44:26.000000,968.0,7018.0,https://anaconda.org/conda-forge/bcolz,2019-11-05 21:09:48.045000,277206.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n358,pyclustering,annoviko/pyclustering,,others,https://github.com/annoviko/pyclustering,https://github.com/annoviko/pyclustering,BSD-3-Clause,2014-02-25 18:59:03.000000,2021-11-19 04:07:59.000000,2021-02-12 19:04:59.000000,208,56.0,589.0,900.0,2079.0,\"pyclustring is a Python, C++ data mining library.\",26.0,25,True,2020-11-25 22:33:07.000000,0.10.1.2,46.0,pyclustering,conda-forge/pyclustering,,374.0,31316.0,288.0,252.0,https://pypi.org/project/pyclustering,2020-11-25 22:41:20.000000,36.0,29984.0,https://anaconda.org/conda-forge/pyclustering,2021-09-13 14:29:08.300000,31843.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n359,empyrical,quantopian/empyrical,,financial-data,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52.000000,2020-10-14 13:28:13.625000,2020-10-14 13:22:39.000000,276,27.0,26.0,864.0,167.0,Common financial risk and performance metrics. Used by zipline and pyfolio.,22.0,25,False,2020-10-13 21:29:19.000000,0.5.5,21.0,empyrical,conda-forge/empyrical,,,52599.0,974.0,752.0,https://pypi.org/project/empyrical,2020-10-13 21:29:19.000000,222.0,52291.0,https://anaconda.org/conda-forge/empyrical,2020-10-14 13:28:13.625000,14212.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n360,pyjanitor,pyjanitor-devs/pyjanitor,,others,https://github.com/pyjanitor-devs/pyjanitor,https://github.com/pyjanitor-devs/pyjanitor,MIT,2018-03-04 22:43:33.000000,2021-12-02 02:30:57.000000,2021-11-22 18:59:22.000000,134,92.0,329.0,774.0,1162.0,Clean APIs for data cleaning. Python implementation of R package Janitor.,95.0,25,True,2021-11-21 02:25:32.000000,0.22.0,53.0,pyjanitor,conda-forge/pyjanitor,,,20276.0,132.0,128.0,https://pypi.org/project/pyjanitor,2021-11-21 02:25:27.000000,4.0,17871.0,https://anaconda.org/conda-forge/pyjanitor,2021-11-22 17:28:45.154000,108254.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n361,dask-ml,dask/dask-ml,,distributed-ml,https://github.com/dask/dask-ml,https://github.com/dask/dask-ml,BSD-3-Clause,2017-06-15 15:56:06.000000,2021-11-30 22:00:24.715000,2021-11-30 14:46:11.000000,215,225.0,234.0,765.0,,Scalable Machine Learning with Dask.,69.0,25,True,2021-11-30 15:21:04.000000,2021.11.30,31.0,dask-ml,conda-forge/dask-ml,,,60447.0,562.0,520.0,https://pypi.org/project/dask-ml,2021-11-30 15:21:04.000000,42.0,55374.0,https://anaconda.org/conda-forge/dask-ml,2021-11-30 22:00:24.715000,253699.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n362,metrics,PyTorchLightning/metrics,,distributed-ml,https://github.com/PyTorchLightning/metrics,https://github.com/PyTorchLightning/metrics,Apache-2.0,2020-12-22 20:02:42.000000,2021-12-02 12:24:19.000000,2021-12-02 10:38:42.000000,115,37.0,191.0,574.0,551.0,\"Machine learning metrics for distributed, scalable PyTorch applications.\",99.0,25,True,2021-10-28 22:42:32.000000,0.6.0,15.0,metrics,,['pytorch'],281.0,2798.0,1299.0,1287.0,https://pypi.org/project/metrics,2018-04-28 10:58:56.000000,12.0,2767.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n363,python-soundfile,bastibe/python-soundfile,,audio,https://github.com/bastibe/python-soundfile,https://github.com/bastibe/python-soundfile,BSD-3-Clause,2013-08-27 13:36:52.000000,2021-11-27 10:18:19.000000,2021-10-26 14:28:38.000000,58,62.0,99.0,424.0,499.0,\"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.\",22.0,25,True,2019-12-04 10:03:39.000000,0.10.3post1,7.0,soundfile,,,2701.0,648228.0,740.0,,https://pypi.org/project/soundfile,2019-11-27 12:16:19.000000,740.0,648200.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n364,ml-metadata,google/ml-metadata,,ml-experiments,https://github.com/google/ml-metadata,https://github.com/google/ml-metadata,Apache-2.0,2019-01-15 21:02:09.000000,2021-11-30 00:03:34.000000,2021-11-29 21:16:39.000000,81,20.0,56.0,406.0,571.0,For recording and retrieving metadata associated with ML developer and data scientist workflows.,13.0,25,True,2021-11-30 00:03:34.000000,1.5.0,32.0,ml-metadata,,,1708.0,654603.0,167.0,167.0,https://pypi.org/project/ml-metadata,2021-11-30 00:03:34.000000,0.0,654552.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n365,sklearn-crfsuite,TeamHG-Memex/sklearn-crfsuite,,sklearn-utils,https://github.com/TeamHG-Memex/sklearn-crfsuite,https://github.com/TeamHG-Memex/sklearn-crfsuite,MIT,2015-11-26 21:15:41.000000,2021-10-27 17:57:56.000000,2019-12-05 08:17:22.000000,173,37.0,23.0,385.0,46.0,scikit-learn inspired API for CRFsuite.,6.0,25,False,2017-06-22 18:49:27.000000,0.3.6,9.0,sklearn-crfsuite,,['sklearn'],,78239.0,3686.0,3290.0,https://pypi.org/project/sklearn-crfsuite,2017-06-22 18:49:27.000000,396.0,78239.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n366,TensorFlow Cloud,tensorflow/cloud,,tensorflow-utils,https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59.000000,2021-11-29 20:10:32.000000,2021-09-07 17:39:33.000000,64,52.0,26.0,318.0,565.0,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,25.0,25,True,2021-06-17 01:15:10.000000,0.1.16,19.0,tensorflow-cloud,,['tensorflow'],,576088.0,110.0,110.0,https://pypi.org/project/tensorflow-cloud,2021-06-17 01:15:10.000000,0.0,576088.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n367,datalad,datalad/datalad,,others,https://github.com/datalad/datalad,https://github.com/datalad/datalad,MIT,2013-11-01 19:40:08.000000,2021-12-02 14:27:35.000000,2021-12-02 14:27:35.000000,89,523.0,2812.0,268.0,14882.0,\"Keep code, data, containers under control with git and git-annex.\",46.0,25,False,2021-10-30 08:45:36.000000,0.15.3,76.0,datalad,conda-forge/datalad,,,8428.0,26.0,,https://pypi.org/project/datalad,2021-10-30 08:45:36.000000,26.0,4530.0,https://anaconda.org/conda-forge/datalad,2021-11-18 19:05:43.182000,175444.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n368,spleeter,deezer/spleeter,,audio,https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000000,2021-11-10 20:24:58.000000,2021-09-03 09:55:05.000000,1906,100.0,499.0,18025.0,473.0,Deezer source separation library including pretrained models.,18.0,24,True,2021-09-03 09:59:00.000000,2.3.0,34.0,spleeter,conda-forge/spleeter,['tensorflow'],1316149.0,59624.0,0.0,,https://pypi.org/project/spleeter,2021-09-03 09:55:50.000000,0.0,6565.0,https://anaconda.org/conda-forge/spleeter,2020-06-30 14:33:43.220000,60963.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n369,Ciphey,Ciphey/Ciphey,,nlp,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39.000000,2021-11-16 13:31:49.535232,2021-11-03 02:20:58.000000,559,51.0,228.0,9046.0,1873.0,\"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.\",46.0,24,True,2021-06-06 17:14:16.000000,5.14.0,50.0,ciphey,,,,13055.0,,,https://pypi.org/project/ciphey,2021-06-06 17:13:48.000000,,12592.0,,,,3.0,,remnux/ciphey,https://hub.docker.com/r/remnux/ciphey,2021-11-16 13:31:49.535232,5.0,13452.0,,,,,,,,,,,,,,,,,,,,\n370,Ludwig,ludwig-ai/ludwig,,ml-frameworks,https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000000,2021-12-02 13:51:04.000000,2021-12-02 03:50:52.000000,947,157.0,476.0,7997.0,2265.0,Data-centric declarative deep learning framework.,105.0,24,True,2021-06-15 04:22:19.000000,0.4,19.0,ludwig,,['tensorflow'],,3145.0,109.0,97.0,https://pypi.org/project/ludwig,2021-06-15 04:19:55.000000,12.0,3145.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n371,NuPIC,numenta/nupic,,ml-frameworks,https://github.com/numenta/nupic,https://github.com/numenta/nupic,AGPL-3.0,2013-04-05 23:14:27.000000,2021-03-25 21:39:47.000000,2019-10-23 20:45:07.000000,1585,456.0,1337.0,6289.0,6625.0,\"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..\",121.0,24,False,2018-06-01 15:37:54.000000,1.0.5,53.0,nupic,,,,2325.0,144.0,106.0,https://pypi.org/project/nupic,2018-06-01 15:37:54.000000,38.0,2325.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n372,textgenrnn,minimaxir/textgenrnn,,nlp,https://github.com/minimaxir/textgenrnn,https://github.com/minimaxir/textgenrnn,MIT,2017-08-07 02:13:37.000000,2021-06-18 06:05:47.000000,2020-07-14 02:41:10.000000,705,117.0,86.0,4572.0,174.0,Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines..,19.0,24,False,2020-02-03 01:07:00.000000,2.0.0,14.0,textgenrnn,,['tensorflow'],616.0,2092.0,974.0,946.0,https://pypi.org/project/textgenrnn,2020-02-02 21:16:15.000000,28.0,2078.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n373,Lasagne,Lasagne/Lasagne,,ml-frameworks,https://github.com/Lasagne/Lasagne,https://github.com/Lasagne/Lasagne,MIT,2014-09-11 15:31:41.000000,2019-11-20 20:28:31.000000,2019-11-20 20:28:30.000000,977,139.0,402.0,3795.0,1161.0,Lightweight library to build and train neural networks in Theano.,72.0,24,False,2015-08-13 21:00:09.000000,0.1,1.0,lasagne,,,,2265.0,1383.0,877.0,https://pypi.org/project/lasagne,2015-08-13 21:10:53.000000,506.0,2265.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n374,TensorFlowOnSpark,yahoo/TensorFlowOnSpark,,distributed-ml,https://github.com/yahoo/TensorFlowOnSpark,https://github.com/yahoo/TensorFlowOnSpark,Apache-2.0,2017-01-20 18:15:57.000000,2021-10-15 23:08:42.000000,2021-10-15 23:08:39.000000,959,5.0,354.0,3745.0,628.0,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,33.0,24,True,2021-05-25 22:25:31.000000,2.2.4,31.0,tensorflowonspark,,\"['tensorflow', 'spark']\",,190983.0,5.0,,https://pypi.org/project/tensorflowonspark,2021-05-25 20:44:29.000000,5.0,190983.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n375,Snips NLU,snipsco/snips-nlu,,nlp,https://github.com/snipsco/snips-nlu,https://github.com/snipsco/snips-nlu,Apache-2.0,2017-02-08 16:16:36.000000,2021-11-17 15:23:01.000000,2021-05-03 12:18:31.000000,495,55.0,196.0,3577.0,2154.0,Snips Python library to extract meaning from text.,22.0,24,True,2020-01-15 10:13:17.000000,0.20.2,58.0,snips-nlu,,,,3635.0,16.0,,https://pypi.org/project/snips-nlu,2020-01-15 10:13:17.000000,16.0,3635.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n376,DoWhy,Microsoft/dowhy,,interpretability,https://github.com/microsoft/dowhy,https://github.com/microsoft/dowhy,MIT,2018-05-31 13:07:04.000000,2021-12-02 10:38:58.000000,2021-11-30 03:25:45.000000,513,42.0,114.0,3435.0,470.0,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,45.0,24,True,2021-03-03 03:44:46.000000,0.6,6.0,dowhy,conda-forge/dowhy,,24.0,32985.0,77.0,77.0,https://pypi.org/project/dowhy,2021-03-03 03:45:16.000000,0.0,32776.0,https://anaconda.org/conda-forge/dowhy,2021-04-28 19:20:04.698000,3988.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n377,nevergrad,facebookresearch/nevergrad,,hyperopt,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000000,2021-12-02 12:12:17.000000,2021-11-25 18:39:38.000000,299,97.0,152.0,3174.0,,A Python toolbox for performing gradient-free optimization.,46.0,24,True,2021-01-28 12:05:40.000000,0.4.3,34.0,nevergrad,conda-forge/nevergrad,,,35306.0,281.0,267.0,https://pypi.org/project/nevergrad,2021-11-10 18:52:59.000000,14.0,34349.0,https://anaconda.org/conda-forge/nevergrad,2021-06-14 12:44:22.518000,19152.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n378,Darts,unit8co/darts,,time-series-data,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000000,2021-12-02 14:25:58.000000,2021-12-01 15:35:40.000000,272,98.0,174.0,3172.0,651.0,A python library for easy manipulation and forecasting of time series.,41.0,24,True,2021-11-28 09:32:55.000000,0.14.0,22.0,u8darts,,,,2801.0,22.0,22.0,https://pypi.org/project/u8darts,2021-11-28 09:32:55.000000,0.0,2796.0,,,,2.0,,unit8/darts,https://hub.docker.com/r/unit8/darts,2021-11-28 09:42:06.260681,,205.0,,,,,,,,,,,,,,,,,,,,\n379,xLearn,aksnzhy/xlearn,,ml-frameworks,https://github.com/aksnzhy/xlearn,https://github.com/aksnzhy/xlearn,Apache-2.0,2017-06-10 08:09:31.000000,2021-01-28 14:17:44.000000,2020-03-03 10:12:35.000000,528,193.0,109.0,2960.0,1340.0,\"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..\",30.0,24,False,2019-04-25 02:10:05.000000,0.4.4,15.0,xlearn,,,2981.0,1798.0,74.0,72.0,https://pypi.org/project/xlearn,2018-12-04 11:05:06.000000,2.0,1732.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n380,keras-vis,raghakot/keras-vis,,interpretability,https://github.com/raghakot/keras-vis,https://github.com/raghakot/keras-vis,MIT,2016-11-11 23:27:34.000000,2020-04-20 01:03:13.000000,2020-04-20 01:03:12.000000,612,114.0,99.0,2900.0,195.0,Neural network visualization toolkit for keras.,10.0,24,False,2017-07-06 04:55:04.000000,0.4.1,11.0,keras-vis,,['tensorflow'],,3228.0,1519.0,1463.0,https://pypi.org/project/keras-vis,2017-07-06 04:55:04.000000,56.0,3228.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n381,MONAI,Project-MONAI/MONAI,,medical-data,https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000000,2021-12-02 13:09:32.000000,2021-12-02 09:20:47.000000,473,116.0,1202.0,2533.0,,AI Toolkit for Healthcare Imaging.,83.0,24,True,2021-11-25 21:19:49.000000,0.8.0,34.0,monai,,['pytorch'],,13078.0,152.0,152.0,https://pypi.org/project/monai,2021-11-25 21:11:33.000000,0.0,13078.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n382,facenet-pytorch,timesler/facenet-pytorch,,image,https://github.com/timesler/facenet-pytorch,https://github.com/timesler/facenet-pytorch,MIT,2019-05-25 01:29:24.000000,2021-05-23 21:26:30.000000,2021-05-23 21:26:30.000000,539,52.0,89.0,2530.0,234.0,Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models.,14.0,24,True,2021-03-10 01:00:20.000000,2.5.2,31.0,facenet-pytorch,,['pytorch'],169937.0,15092.0,559.0,553.0,https://pypi.org/project/facenet-pytorch,2021-03-10 01:00:20.000000,6.0,8295.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n383,Arctic,man-group/arctic,,data-containers,https://github.com/man-group/arctic,https://github.com/man-group/arctic,LGPL-2.1,2015-05-29 13:37:30.000000,2021-12-01 10:56:58.000000,2021-11-30 13:30:02.000000,496,95.0,441.0,2508.0,1087.0,Arctic is a high performance datastore for numeric data.,72.0,24,True,2021-10-28 17:14:57.000000,1.80.0,84.0,arctic,conda-forge/arctic,,176.0,4569.0,183.0,141.0,https://pypi.org/project/arctic,2021-10-28 17:14:57.000000,42.0,4029.0,https://anaconda.org/conda-forge/arctic,2019-12-16 08:57:24.231000,16678.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n384,PandasGUI,adamerose/pandasgui,,data-viz,https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT,2019-06-12 02:19:42.000000,2021-11-02 18:53:17.000000,2021-09-25 15:27:41.000000,152,32.0,109.0,2475.0,706.0,A GUI for Pandas DataFrames.,10.0,24,True,2021-08-14 09:14:51.000000,0.2.13,43.0,pandasgui,,['pandas'],,5401.0,118.0,116.0,https://pypi.org/project/pandasgui,2021-08-14 09:14:51.000000,2.0,5401.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n385,analytics-zoo,intel-analytics/analytics-zoo,,distributed-ml,https://github.com/intel-analytics/analytics-zoo,https://github.com/intel-analytics/analytics-zoo,Apache-2.0,2017-05-05 02:27:30.000000,2021-12-01 21:27:20.000000,2021-12-01 02:34:40.000000,698,567.0,829.0,2437.0,3408.0,\"Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray.\",105.0,24,True,2021-07-19 00:31:21.000000,0.11.0,175.0,analytics-zoo,,['spark'],,8224.0,2.0,2.0,https://pypi.org/project/analytics-zoo,2021-12-01 21:27:20.000000,,8224.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n386,TorchServe,pytorch/serve,,model-serialisation,https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000000,2021-11-30 17:50:39.000000,2021-11-23 17:18:32.000000,417,116.0,633.0,2281.0,2364.0,Model Serving on PyTorch.,92.0,24,True,2021-11-19 20:57:33.000000,0.5.0,11.0,torchserve,pytorch/torchserve,['pytorch'],699.0,49268.0,0.0,,https://pypi.org/project/torchserve,2021-11-19 20:57:33.000000,0.0,11969.0,https://anaconda.org/pytorch/torchserve,2021-11-19 20:52:30.682000,16405.0,2.0,,pytorch/torchserve,https://hub.docker.com/r/pytorch/torchserve,2021-11-22 21:46:40.121540,9.0,947582.0,,,,,,,,,,,,,,,,,,,,\n387,vidgear,abhiTronix/vidgear,,image,https://github.com/abhiTronix/vidgear,https://github.com/abhiTronix/vidgear,Apache-2.0,2019-03-17 02:42:42.000000,2021-12-02 03:07:35.000000,2021-10-27 03:55:38.000000,153,3.0,188.0,2014.0,796.0,A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features.,7.0,24,True,2021-10-27 05:06:39.000000,0.2.3,15.0,vidgear,,,500.0,2283.0,151.0,149.0,https://pypi.org/project/vidgear,2021-10-27 05:06:39.000000,2.0,2268.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n388,accelerate,huggingface/accelerate,,pytorch-utils,https://github.com/huggingface/accelerate,https://github.com/huggingface/accelerate,Apache-2.0,2020-10-30 13:27:12.000000,2021-11-12 12:53:32.000000,2021-11-12 12:53:32.000000,110,46.0,84.0,2006.0,,\"A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision.\",27.0,24,True,2021-09-27 15:05:40.000000,0.5.1,8.0,accelerate,,['pytorch'],,50259.0,227.0,227.0,https://pypi.org/project/accelerate,2021-09-27 15:04:05.000000,0.0,50259.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n389,Essentia,MTG/essentia,,audio,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000000,2021-11-24 14:48:24.000000,2021-11-24 14:48:17.000000,430,347.0,595.0,1974.0,2942.0,\"C++ library for audio and music analysis, description and synthesis, including Python bindings.\",73.0,24,False,2015-03-31 16:33:30.000000,2.0,10.0,essentia,,,,2087.0,260.0,250.0,https://pypi.org/project/essentia,2021-11-04 15:23:58.000000,10.0,2087.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n390,Spektral,danielegrattarola/spektral,,graph,https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10.000000,2021-11-05 12:39:30.000000,2021-10-26 09:35:54.000000,259,35.0,159.0,1929.0,1033.0,Graph Neural Networks with Keras and Tensorflow 2.,19.0,24,True,2021-08-23 13:15:21.000000,1.0.8,31.0,spektral,,\"['tensorflow\"\"']\",,3136.0,82.0,82.0,https://pypi.org/project/spektral,2021-08-23 13:15:21.000000,0.0,3136.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n391,efficientnet,qubvel/efficientnet,,tensorflow-utils,https://github.com/qubvel/efficientnet,https://github.com/qubvel/efficientnet,Apache-2.0,2019-05-30 20:21:09.000000,2021-08-16 07:14:52.000000,2021-07-16 09:03:20.000000,431,59.0,56.0,1916.0,66.0,Implementation of EfficientNet model. Keras and TensorFlow Keras.,10.0,24,True,2020-09-15 16:26:00.000000,1.1.1,9.0,efficientnet,,['tensorflow'],196667.0,72707.0,824.0,820.0,https://pypi.org/project/efficientnet,2020-09-15 16:26:00.000000,4.0,66363.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n392,PyTextRank,DerwenAI/pytextrank,,nlp,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000000,2021-10-10 01:12:32.000000,2021-10-10 01:07:35.000000,319,22.0,57.0,1664.0,,Python implementation of TextRank for phrase extraction and summarization of text documents.,17.0,24,True,2021-10-10 01:12:11.000000,3.2.2,18.0,pytextrank,,,,13563.0,225.0,213.0,https://pypi.org/project/pytextrank,2021-10-10 01:12:11.000000,12.0,13563.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n393,IB-insync,erdewit/ib_insync,,financial-data,https://github.com/erdewit/ib_insync,https://github.com/erdewit/ib_insync,BSD-2-Clause,2017-07-12 12:09:24.000000,2021-11-29 01:17:29.243000,2021-11-28 19:31:51.000000,462,5.0,347.0,1629.0,616.0,Python sync/async framework for Interactive Brokers API.,29.0,24,True,2021-11-28 19:34:09.000000,0.9.70,95.0,ib_insync,conda-forge/ib-insync,,,6884.0,12.0,,https://pypi.org/project/ib_insync,2021-11-28 19:34:09.000000,12.0,6419.0,https://anaconda.org/conda-forge/ib-insync,2021-11-29 01:17:29.243000,13504.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n394,Fairness 360,Trusted-AI/AIF360,,interpretability,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15.000000,2021-11-24 01:25:57.000000,2021-11-18 15:43:53.000000,485,53.0,59.0,1581.0,342.0,\"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..\",46.0,24,True,2021-03-04 18:11:34.000000,0.4.0,9.0,aif360,,,,5442.0,129.0,125.0,https://pypi.org/project/aif360,2021-03-04 18:11:34.000000,4.0,5442.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n395,CausalNex,quantumblacklabs/causalnex,,interpretability,https://github.com/quantumblacklabs/causalnex,https://github.com/quantumblacklabs/causalnex,Apache-2.0,2019-12-12 15:26:09.000000,2021-11-11 15:15:32.000000,2021-11-11 15:06:17.000000,149,12.0,87.0,1379.0,155.0,A Python library that helps data scientists to infer causation rather than observing correlation.,22.0,24,True,2021-11-11 15:15:32.000000,0.11.0,16.0,causalnex,,\"['pytorch', 'sklearn']\",,3669.0,32.0,32.0,https://pypi.org/project/causalnex,2021-11-11 15:15:32.000000,0.0,3669.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n396,pycm,sepandhaghighi/pycm,,others,https://github.com/sepandhaghighi/pycm,https://github.com/sepandhaghighi/pycm,MIT,2018-01-22 19:46:54.000000,2021-11-29 11:42:53.000000,2021-10-27 05:51:03.000000,102,17.0,161.0,1186.0,2773.0,Multi-class confusion matrix library in Python.,16.0,24,True,2021-10-27 06:03:28.000000,3.3,37.0,pycm,,,,34382.0,131.0,121.0,https://pypi.org/project/pycm,2021-10-27 06:04:03.000000,10.0,34382.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n397,ogb,snap-stanford/ogb,,graph,https://github.com/snap-stanford/ogb,https://github.com/snap-stanford/ogb,MIT,2019-11-22 22:13:57.000000,2021-11-08 08:19:54.000000,2021-11-08 08:19:54.000000,233,2.0,173.0,1155.0,574.0,\"Benchmark datasets, data loaders, and evaluators for graph machine learning.\",17.0,24,True,2021-09-29 04:42:13.000000,1.3.2,15.0,ogb,,,,6403.0,185.0,185.0,https://pypi.org/project/ogb,2021-09-29 04:33:43.000000,0.0,6403.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n398,livelossplot,stared/livelossplot,,ml-experiments,https://github.com/stared/livelossplot,https://github.com/stared/livelossplot,MIT,2018-03-10 17:51:43.000000,2021-10-12 11:52:57.000000,2021-10-12 11:52:20.000000,137,3.0,70.0,1138.0,328.0,\"Live training loss plot in Jupyter Notebook for Keras, PyTorch and others.\",17.0,24,True,2021-02-03 16:25:47.000000,0.5.4,24.0,livelossplot,,['jupyter'],,58661.0,693.0,683.0,https://pypi.org/project/livelossplot,2021-02-03 16:25:47.000000,10.0,58661.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n399,TF Recommenders,tensorflow/recommenders,,recommender-systems,https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01.000000,2021-12-02 00:29:42.000000,2021-12-02 00:29:37.000000,148,107.0,93.0,1100.0,,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,29.0,24,True,2021-08-23 23:29:59.000000,0.6.0,12.0,tensorflow-recommenders,,['tensorflow'],,168870.0,60.0,60.0,https://pypi.org/project/tensorflow-recommenders,2021-08-23 23:29:59.000000,0.0,168870.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n400,pandasql,yhat/pandasql,,data-containers,https://github.com/yhat/pandasql,https://github.com/yhat/pandasql,MIT,2013-02-18 01:53:56.000000,2020-08-14 13:00:13.000000,2017-02-01 15:40:30.000000,147,44.0,23.0,1057.0,127.0,sqldf for pandas.,15.0,24,False,2016-04-20 21:52:36.000000,0.7.3,31.0,pandasql,,['pandas'],,761152.0,1110.0,1012.0,https://pypi.org/project/pandasql,2016-04-20 21:52:36.000000,98.0,761152.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n401,ffn,pmorissette/ffn,,financial-data,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09.000000,2021-05-15 18:59:42.000000,2021-04-24 00:58:10.000000,200,16.0,80.0,1009.0,351.0,ffn - a financial function library for Python.,26.0,24,True,2021-04-21 02:47:21.000000,0.3.6,27.0,ffn,,,,23591.0,200.0,158.0,https://pypi.org/project/ffn,2021-04-21 02:47:21.000000,42.0,23591.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n402,openTSNE,pavlin-policar/openTSNE,,data-viz,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000000,2021-11-13 15:59:24.399000,2021-10-25 08:00:42.000000,99,3.0,95.0,922.0,578.0,\"Extensible, parallel implementations of t-SNE.\",10.0,24,True,2021-10-25 08:35:29.000000,0.6.1,22.0,opentsne,conda-forge/opentsne,,,23338.0,268.0,264.0,https://pypi.org/project/opentsne,2021-10-25 08:35:29.000000,4.0,19848.0,https://anaconda.org/conda-forge/opentsne,2021-11-13 15:59:24.399000,125649.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n403,PySwarms,ljvmiranda921/pyswarms,,others,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45.000000,2021-11-15 09:55:43.000000,2021-06-23 11:19:05.000000,279,16.0,181.0,860.0,409.0,A research toolkit for particle swarm optimization in Python.,43.0,24,True,2021-01-03 21:34:15.000000,1.3.0,20.0,pyswarms,,,,29784.0,144.0,144.0,https://pypi.org/project/pyswarms,2021-01-03 21:34:15.000000,0.0,29784.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n404,pyopencl,inducer/pyopencl,,others,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,MIT,2011-04-06 02:51:33.000000,2021-11-24 23:40:36.000000,2021-11-24 23:40:36.000000,213,69.0,230.0,856.0,,\"OpenCL integration for Python, plus shiny features.\",89.0,24,True,2021-10-07 01:34:13.000000,2021.2.8,71.0,pyopencl,conda-forge/pyopencl,,,18991.0,823.0,585.0,https://pypi.org/project/pyopencl,2021-10-18 03:11:29.000000,238.0,10363.0,https://anaconda.org/conda-forge/pyopencl,2021-11-04 14:31:26.133000,534996.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n405,FiftyOne,voxel51/fiftyone,,data-viz,https://github.com/voxel51/fiftyone,https://github.com/voxel51/fiftyone,Apache-2.0,2020-04-22 13:43:28.000000,2021-12-02 01:31:49.000000,2021-11-30 16:18:01.000000,96,187.0,415.0,836.0,5467.0,\"Visualize, create, and debug image and video datasets and model predictions.\",20.0,24,True,2021-11-24 17:48:22.000000,0.14.2,65.0,fiftyone,,\"['tensorflow', 'pytorch', 'jupyter']\",,9375.0,56.0,56.0,https://pypi.org/project/fiftyone,2021-11-24 17:48:22.000000,0.0,9375.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n406,arch,bashtage/arch,,financial-data,https://github.com/bashtage/arch,https://github.com/bashtage/arch,NCSA,2014-08-29 15:41:28.000000,2021-11-19 16:04:07.000000,2021-11-19 15:39:38.000000,194,15.0,147.0,835.0,,ARCH models in Python.,30.0,24,False,2021-11-19 16:00:03.000000,5.1.0,35.0,arch,,,,153352.0,452.0,410.0,https://pypi.org/project/arch,2021-11-19 16:00:03.000000,42.0,153352.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n407,Madmom,CPJKU/madmom,,audio,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06.000000,2021-11-30 17:35:33.000000,2021-08-23 17:19:35.000000,145,54.0,187.0,831.0,1728.0,Python audio and music signal processing library.,20.0,24,True,2018-11-14 14:57:41.000000,0.16.1,11.0,madmom,,,,9409.0,201.0,167.0,https://pypi.org/project/madmom,2018-11-14 14:56:22.000000,34.0,9409.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n408,kapre,keunwoochoi/kapre,,audio,https://github.com/keunwoochoi/kapre,https://github.com/keunwoochoi/kapre,MIT,2016-12-14 18:36:36.000000,2021-11-25 13:16:06.000000,2021-11-14 01:15:18.000000,138,11.0,81.0,788.0,193.0,kapre: Keras Audio Preprocessors.,13.0,24,True,2021-11-14 01:13:37.000000,0.3.6,22.0,kapre,,['tensorflow'],19.0,1495.0,1228.0,1206.0,https://pypi.org/project/kapre,2021-11-14 01:13:37.000000,22.0,1495.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n409,GPyOpt,SheffieldML/GPyOpt,,hyperopt,https://github.com/SheffieldML/GPyOpt,https://github.com/SheffieldML/GPyOpt,BSD-3-Clause,2014-08-13 09:58:25.000000,2020-11-17 10:32:02.000000,2020-11-05 15:16:04.000000,235,98.0,186.0,778.0,514.0,Gaussian Process Optimization using GPy.,49.0,24,False,2020-03-19 21:21:18.000000,1.2.6,11.0,gpyopt,,,,12092.0,269.0,233.0,https://pypi.org/project/gpyopt,2020-03-19 11:37:45.000000,36.0,12092.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n410,pythreejs,jupyter-widgets/pythreejs,,data-viz,https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,BSD-3-Clause,2013-12-23 17:02:11.000000,2021-09-28 14:44:01.000000,2021-02-26 14:01:59.000000,162,67.0,144.0,773.0,1659.0,A Jupyter - Three.js bridge.,27.0,24,True,2021-02-26 14:01:21.000000,2.3.0,43.0,pythreejs,conda-forge/pythreejs,['jupyter'],,40028.0,53.0,19.0,https://pypi.org/project/pythreejs,2021-02-26 14:01:21.000000,26.0,28377.0,https://anaconda.org/conda-forge/pythreejs,2021-03-02 13:32:39.505000,353255.0,3.0,,,,,,,,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,2021-02-26 13:59:06.062000,8.0,6379.0,,,,,,,,,,,,,\n411,tensorflow-upstream,ROCmSoftwarePlatform/tensorflow-upstream,,ml-frameworks,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,Apache-2.0,2018-04-09 21:24:50.000000,2021-11-30 23:21:49.000000,2021-11-30 20:22:42.000000,66,56.0,260.0,573.0,79524.0,TensorFlow ROCm port.,3880.0,24,True,2021-10-14 03:13:43.000000,2.6.2,70.0,tensorflow-rocm,,['tensorflow'],17.0,905.0,0.0,,https://pypi.org/project/tensorflow-rocm,2021-10-14 03:13:43.000000,0.0,905.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n412,TensorFlow I/O,tensorflow/io,,tensorflow-utils,https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05.000000,2021-12-01 20:32:47.000000,2021-12-01 20:25:24.000000,204,158.0,321.0,520.0,1517.0,\"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.\",83.0,24,True,2021-11-10 18:53:06.000000,0.22.0,28.0,tensorflow-io,,['tensorflow'],,128989.0,0.0,,https://pypi.org/project/tensorflow-io,2021-11-10 18:47:31.000000,0.0,128989.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n413,Cornac,PreferredAI/cornac,,recommender-systems,https://github.com/PreferredAI/cornac,https://github.com/PreferredAI/cornac,Apache-2.0,2018-07-17 06:31:35.000000,2021-11-22 07:20:04.000000,2021-09-30 10:13:24.000000,78,4.0,70.0,478.0,1230.0,A Comparative Framework for Multimodal Recommender Systems.,13.0,24,True,2021-09-26 07:01:44.000000,1.14.1,45.0,cornac,conda-forge/cornac,,,11177.0,70.0,68.0,https://pypi.org/project/cornac,2021-09-26 07:12:34.000000,2.0,5064.0,https://anaconda.org/conda-forge/cornac,2021-11-15 19:24:15.089000,189529.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n414,pyvips,libvips/pyvips,,image,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000000,2021-11-22 15:51:16.569000,2021-11-16 14:19:31.000000,32,91.0,162.0,367.0,410.0,python binding for libvips using cffi.,12.0,24,True,2021-11-20 11:46:55.000000,2.1.16,22.0,pyvips,conda-forge/pyvips,,,11410.0,269.0,247.0,https://pypi.org/project/pyvips,2021-11-20 11:46:55.000000,22.0,10939.0,https://anaconda.org/conda-forge/pyvips,2021-11-22 15:51:16.569000,13202.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n415,Orion,Epistimio/orion,,hyperopt,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21.000000,2021-12-01 18:33:49.000000,2021-12-01 17:47:52.000000,44,65.0,143.0,207.0,3037.0,Asynchronous Distributed Hyperparameter Optimization.,24.0,24,False,2021-11-26 18:02:35.000000,0.2.1,20.0,orion,,,,2481.0,53.0,45.0,https://pypi.org/project/orion,2021-11-26 18:02:35.000000,8.0,2481.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n416,py3nvml,fbcotter/py3nvml,,gpu-utilities,https://github.com/fbcotter/py3nvml,https://github.com/fbcotter/py3nvml,BSD-3-Clause,2016-11-21 01:07:37.000000,2021-11-22 14:30:25.000000,2021-09-06 14:45:26.000000,31,3.0,10.0,199.0,83.0,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,8.0,24,False,2021-11-22 14:30:25.000000,0.2.7,14.0,py3nvml,conda-forge/py3nvml,,,66824.0,373.0,353.0,https://pypi.org/project/py3nvml,2021-11-22 14:30:25.000000,20.0,65806.0,https://anaconda.org/conda-forge/py3nvml,2021-11-19 20:12:42.962000,23416.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n417,DeepSpeech,mozilla/DeepSpeech,,audio,https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53.000000,2021-07-30 19:01:32.000000,,3312,119.0,,18334.0,,\"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..\",142.0,23,True,2020-12-10 17:22:09.000000,0.9.3,100.0,deepspeech,,['tensorflow'],,7824.0,58.0,,https://pypi.org/project/deepspeech,2020-12-19 10:05:12.000000,58.0,7824.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n418,Apex,NVIDIA/apex,,gpu-utilities,https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000000,2021-12-01 22:32:04.000000,2021-11-19 07:05:40.000000,863,530.0,391.0,5915.0,896.0,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,87.0,23,True,,,1.0,,conda-forge/nvidia-apex,['pytorch'],,2663.0,810.0,810.0,,,,,https://anaconda.org/conda-forge/nvidia-apex,2021-04-22 16:13:47.237000,69263.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n419,english-words,dwyl/english-words,,nlp,https://github.com/dwyl/english-words,https://github.com/dwyl/english-words,Unlicense,2014-07-13 22:20:45.000000,2021-11-10 15:08:38.000000,2021-10-20 08:05:51.000000,1207,45.0,26.0,5790.0,85.0,A text file containing 479k English words for all your dictionary/word-based projects e.g: auto-completion /..,26.0,23,True,2021-08-02 04:02:28.000000,1.0.4,5.0,english-words,,,,5154.0,4.0,,https://pypi.org/project/english-words,2021-08-02 04:02:28.000000,4.0,5154.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n420,snownlp,isnowfy/snownlp,,chinese-nlp,https://github.com/isnowfy/snownlp,https://github.com/isnowfy/snownlp,MIT,2013-11-26 11:46:56.000000,2020-01-19 02:39:05.000000,2020-01-19 02:39:03.000000,1298,39.0,65.0,5632.0,57.0,Python library for processing Chinese text.,8.0,23,False,2015-09-27 16:35:23.000000,0.12.3,17.0,snownlp,,,,5789.0,817.0,741.0,https://pypi.org/project/snownlp,2015-09-27 16:35:23.000000,76.0,5789.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n421,flashtext,vi3k6i5/flashtext,,nlp,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01.000000,2021-07-26 20:38:52.000000,2020-05-03 07:13:22.000000,556,54.0,51.0,4998.0,108.0,Extract Keywords from sentence or Replace keywords in sentences.,7.0,23,False,,,18.0,flashtext,,,,347776.0,663.0,631.0,https://pypi.org/project/flashtext,2018-02-16 05:24:17.000000,32.0,347776.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n422,Lucid,tensorflow/lucid,,interpretability,https://github.com/tensorflow/lucid,https://github.com/tensorflow/lucid,Apache-2.0,2018-01-25 17:41:44.000000,2021-07-02 01:49:08.000000,2021-03-19 15:48:33.000000,592,69.0,100.0,4337.0,667.0,A collection of infrastructure and tools for research in neural network interpretability.,40.0,23,True,2021-03-19 16:01:00.000000,0.3.10,17.0,lucid,,['tensorflow'],,803.0,597.0,591.0,https://pypi.org/project/lucid,2021-03-19 16:01:00.000000,6.0,803.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n423,T5,google-research/text-to-text-transfer-transformer,,nlp,https://github.com/google-research/text-to-text-transfer-transformer,https://github.com/google-research/text-to-text-transfer-transformer,Apache-2.0,2019-10-17 21:45:14.000000,2021-11-29 17:48:52.000000,2021-11-29 17:48:47.000000,526,64.0,333.0,3829.0,,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,43.0,23,True,2021-10-18 13:55:26.000000,0.9.3,28.0,t5,,['tensorflow'],,7118.0,70.0,70.0,https://pypi.org/project/t5,2021-10-18 13:55:26.000000,0.0,7118.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n424,PyAlgoTrade,gbeced/pyalgotrade,,financial-data,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54.000000,2021-11-28 22:07:38.000000,2018-08-21 02:42:52.000000,1216,45.0,84.0,3555.0,1156.0,Python Algorithmic Trading Library.,11.0,23,False,,,8.0,pyalgotrade,,,,839.0,118.0,97.0,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25.000000,21.0,839.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n425,yellowbrick,DistrictDataLabs/yellowbrick,,interpretability,https://github.com/DistrictDataLabs/yellowbrick,https://github.com/DistrictDataLabs/yellowbrick,Apache-2.0,2016-05-18 14:12:17.000000,2021-11-10 14:17:21.000000,2021-11-10 14:17:20.000000,490,95.0,547.0,3423.0,,Visual analysis and diagnostic tools to facilitate machine learning model selection.,102.0,23,True,2021-02-13 20:31:18.000000,1.3.post1,22.0,yellowbrick,,['sklearn'],,285659.0,62.0,,https://pypi.org/project/yellowbrick,2021-02-13 20:42:26.000000,62.0,285659.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n426,speechbrain,speechbrain/speechbrain,,audio,https://github.com/speechbrain/speechbrain,https://github.com/speechbrain/speechbrain,Apache-2.0,2020-04-28 17:48:45.000000,2021-12-01 14:31:52.000000,2021-11-30 22:06:03.000000,586,110.0,421.0,3371.0,,A PyTorch-based Speech Toolkit.,141.0,23,True,2021-09-11 22:34:16.000000,0.5.10,9.0,speechbrain,,['pytorch'],,5248.0,94.0,94.0,https://pypi.org/project/speechbrain,2021-09-11 22:35:26.000000,0.0,5248.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n427,Stable Baselines,hill-a/stable-baselines,,reinforcement-learning,https://github.com/hill-a/stable-baselines,https://github.com/hill-a/stable-baselines,MIT,2018-07-02 14:28:59.000000,2021-08-25 09:25:32.000000,2021-08-25 09:25:32.000000,650,128.0,796.0,3364.0,838.0,\"A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.\",112.0,23,True,2021-04-06 12:37:09.000000,2.10.2,31.0,stable-baselines,,,,7791.0,50.0,,https://pypi.org/project/stable-baselines,2021-04-06 12:37:09.000000,50.0,7791.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n428,PaddleSeg,PaddlePaddle/PaddleSeg,,image,https://github.com/PaddlePaddle/PaddleSeg,https://github.com/PaddlePaddle/PaddleSeg,Apache-2.0,2019-08-26 02:32:22.000000,2021-12-02 09:17:50.000000,2021-12-02 04:54:20.000000,735,374.0,405.0,3270.0,,\"Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks..\",58.0,23,True,2021-10-13 06:47:17.000000,2.3.0,13.0,paddleseg,,['paddle'],,811.0,402.0,402.0,https://pypi.org/project/paddleseg,2021-10-13 06:47:17.000000,0.0,811.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n429,Image Super-Resolution,idealo/image-super-resolution,,image,https://github.com/idealo/image-super-resolution,https://github.com/idealo/image-super-resolution,Apache-2.0,2018-11-26 13:41:13.000000,2021-11-02 15:48:01.000000,2021-06-02 09:45:13.000000,571,79.0,108.0,3263.0,150.0,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,10.0,23,True,2020-01-08 15:37:35.000000,2.2.0,11.0,ISR,,['tensorflow'],,4182.0,74.0,66.0,https://pypi.org/project/ISR,2020-01-08 15:37:35.000000,8.0,4177.0,,,,3.0,,idealo/image-super-resolution-gpu,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,,188.0,,,,,,,,,,,,,,,,,,,,\n430,Chartify,spotify/chartify,,data-viz,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05.000000,2021-09-17 06:10:10.000000,2021-02-05 18:49:02.000000,269,40.0,31.0,3042.0,195.0,Python library that makes it easy for data scientists to create charts.,21.0,23,True,2020-11-02 22:14:08.000000,3.0.3,16.0,chartify,conda-forge/chartify,,,1989.0,65.0,60.0,https://pypi.org/project/chartify,2020-11-02 22:14:08.000000,5.0,1528.0,https://anaconda.org/conda-forge/chartify,2020-11-07 19:52:50.628000,17087.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n431,FinRL,AI4Finance-LLC/FinRL,,reinforcement-learning,https://github.com/AI4Finance-Foundation/FinRL,https://github.com/AI4Finance-Foundation/FinRL,MIT,2020-07-26 13:18:16.000000,2021-12-02 06:25:26.000000,2021-12-02 06:25:26.000000,787,97.0,142.0,2935.0,1230.0,FinRL: Financial Reinforcement Learning Framework.,47.0,23,True,2021-09-05 12:46:17.000000,0.3.1,5.0,finrl,,,,210.0,7.0,7.0,https://pypi.org/project/finrl,2021-09-05 12:46:17.000000,,210.0,,,,3.0,,,,,,,,,,,,,,,,AI4Finance-Foundation/FinRL,,,,,,,,,,\n432,MMLSpark,Azure/mmlspark,,distributed-ml,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000000,2021-12-02 09:20:50.000000,2021-12-02 09:12:02.000000,580,186.0,271.0,2844.0,986.0,Simple and Distributed Machine Learning.,76.0,23,True,2021-11-16 05:19:37.000000,0.9.4,22.0,mmlspark,,['spark'],,40430.0,,,https://pypi.org/project/mmlspark,2020-03-18 01:27:31.000000,,40430.0,,,,3.0,,,,,,,,,,,,,,,,microsoft/SynapseML,,,,,,,,,,\n433,layout-parser,Layout-Parser/layout-parser,,image,https://github.com/Layout-Parser/layout-parser,https://github.com/Layout-Parser/layout-parser,Apache-2.0,2020-06-10 20:22:54.000000,2021-11-25 05:39:12.000000,2021-09-23 16:39:47.000000,239,35.0,31.0,2656.0,166.0,A Unified Toolkit for Deep Learning Based Document Image Analysis.,5.0,23,True,2021-09-23 17:37:22.000000,0.3.2,9.0,layoutparser,,,,3008.0,30.0,30.0,https://pypi.org/project/layoutparser,2021-09-23 17:37:22.000000,0.0,3008.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n434,ART,Trusted-AI/adversarial-robustness-toolbox,,adversarial,https://github.com/Trusted-AI/adversarial-robustness-toolbox,https://github.com/Trusted-AI/adversarial-robustness-toolbox,MIT,2018-03-15 14:40:43.000000,2021-12-02 14:19:30.000000,2021-12-01 19:57:58.000000,723,69.0,537.0,2600.0,,\"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..\",87.0,23,True,2021-10-15 15:52:28.000000,1.8.1,36.0,adversarial-robustness-toolbox,,,,4372.0,170.0,170.0,https://pypi.org/project/adversarial-robustness-toolbox,2021-10-15 15:41:12.000000,0.0,4372.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n435,tensorflow-graphics,tensorflow/graphics,,image,https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44.000000,2021-12-01 23:46:16.000000,2021-11-30 17:42:36.000000,324,129.0,88.0,2560.0,738.0,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,34.0,23,True,2021-10-21 20:42:30.000000,2021.10.21,23.0,tensorflow-graphics,,['tensorflow'],,2140.0,6.0,,https://pypi.org/project/tensorflow-graphics,2021-10-21 20:42:30.000000,6.0,2140.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n436,TF Ranking,tensorflow/ranking,,recommender-systems,https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57.000000,2021-11-22 21:37:02.000000,2021-11-22 21:36:59.000000,406,42.0,231.0,2352.0,442.0,Learning to Rank in TensorFlow.,25.0,23,True,2021-11-16 23:49:54.000000,0.5.0,19.0,tensorflow_ranking,,['tensorflow'],,30291.0,2.0,,https://pypi.org/project/tensorflow_ranking,2021-11-16 01:31:58.000000,2.0,30291.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n437,GluonTS,awslabs/gluon-ts,,time-series-data,https://github.com/awslabs/gluon-ts,https://github.com/awslabs/gluon-ts,Apache-2.0,2019-05-15 17:17:29.000000,2021-12-02 01:11:39.000000,2021-12-02 01:11:39.000000,475,273.0,419.0,2286.0,816.0,Probabilistic time series modeling in Python.,79.0,23,True,2021-08-12 10:05:38.000000,0.8.1,43.0,gluonts,,['mxnet'],,57784.0,0.0,,https://pypi.org/project/gluonts,2021-11-11 15:18:16.000000,0.0,57784.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n438,pytorch-nlp,PetrochukM/PyTorch-NLP,,nlp,https://github.com/PetrochukM/PyTorch-NLP,https://github.com/PetrochukM/PyTorch-NLP,BSD-3-Clause,2018-02-25 05:00:36.000000,2021-08-22 16:33:38.000000,2021-07-10 15:56:42.000000,242,18.0,49.0,1994.0,447.0,Basic Utilities for PyTorch Natural Language Processing (NLP).,18.0,23,True,2019-11-04 05:16:00.000000,0.5.0,19.0,pytorch-nlp,,['pytorch'],,6767.0,327.0,309.0,https://pypi.org/project/pytorch-nlp,2019-11-04 04:35:18.000000,18.0,6767.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n439,PyFlux,RJT1990/pyflux,,time-series-data,https://github.com/RJT1990/pyflux,https://github.com/RJT1990/pyflux,BSD-3-Clause,2016-02-16 20:12:02.000000,2019-03-19 10:45:02.000000,2018-12-16 15:30:13.000000,218,81.0,65.0,1930.0,118.0,Open source time series library for Python.,6.0,23,False,2017-11-21 16:27:06.000000,0.4.16,35.0,pyflux,,,,17538.0,235.0,205.0,https://pypi.org/project/pyflux,2017-11-21 16:27:06.000000,30.0,17538.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n440,textacy,chartbeat-labs/textacy,,nlp,https://github.com/chartbeat-labs/textacy,https://github.com/chartbeat-labs/textacy,Apache-2.0,2016-02-03 16:52:45.000000,2021-12-01 02:51:26.000000,2021-11-14 17:15:43.000000,232,31.0,215.0,1818.0,,\"NLP, before and after spaCy.\",31.0,23,True,2021-04-12 15:49:48.000000,0.11.0,30.0,textacy,conda-forge/textacy,,,36094.0,154.0,,https://pypi.org/project/textacy,2021-04-12 15:49:48.000000,154.0,34258.0,https://anaconda.org/conda-forge/textacy,2021-04-13 18:57:20.207000,101015.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n441,HyperTools,ContextLab/hypertools,,data-viz,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25.000000,2021-07-19 16:15:16.000000,2021-07-19 16:15:16.000000,155,67.0,122.0,1674.0,1599.0,A Python toolbox for gaining geometric insights into high-dimensional data.,21.0,23,True,2021-06-15 19:22:37.000000,0.7.0,20.0,hypertools,,,8.0,833.0,164.0,155.0,https://pypi.org/project/hypertools,2021-06-15 19:22:37.000000,9.0,833.0,,,,3.0,,,,,,,-2.0,,,,,,,,,,,,,,,,,,,\n442,Multicore-TSNE,DmitryUlyanov/Multicore-TSNE,,data-viz,https://github.com/DmitryUlyanov/Multicore-TSNE,https://github.com/DmitryUlyanov/Multicore-TSNE,BSD-3-Clause,2016-10-19 05:46:52.000000,2021-11-09 17:22:51.512000,2020-08-19 14:58:00.000000,200,37.0,21.0,1658.0,113.0,Parallel t-SNE implementation with Python and Torch wrappers.,15.0,23,False,2017-11-08 13:32:20.000000,0.0.1,3.0,MulticoreTSNE,conda-forge/multicore-tsne,['pytorch'],,5396.0,290.0,262.0,https://pypi.org/project/MulticoreTSNE,2019-01-09 07:23:04.000000,28.0,5086.0,https://anaconda.org/conda-forge/multicore-tsne,2021-11-09 17:22:51.512000,11487.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n443,checklist,marcotcr/checklist,,interpretability,https://github.com/marcotcr/checklist,https://github.com/marcotcr/checklist,MIT,2020-03-09 17:18:49.000000,2021-11-23 19:38:48.000000,2021-09-28 21:55:38.000000,142,12.0,75.0,1530.0,247.0,Beyond Accuracy: Behavioral Testing of NLP models with CheckList.,12.0,23,True,2021-05-24 16:45:59.000000,0.0.11,10.0,checklist,,['jupyter'],,11756.0,55.0,51.0,https://pypi.org/project/checklist,2021-05-24 16:45:59.000000,4.0,11756.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n444,pytorch-forecasting,jdb78/pytorch-forecasting,,time-series-data,https://github.com/jdb78/pytorch-forecasting,https://github.com/jdb78/pytorch-forecasting,MIT,2020-07-03 13:05:24.000000,2021-12-02 15:32:50.000000,2021-12-02 10:08:15.000000,215,138.0,226.0,1528.0,1083.0,Time series forecasting with PyTorch.,24.0,23,True,2021-11-29 19:55:05.000000,0.9.2,29.0,pytorch-forecasting,,,,14150.0,0.0,,https://pypi.org/project/pytorch-forecasting,2021-11-29 19:55:05.000000,0.0,14150.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n445,FairScale,facebookresearch/fairscale,,distributed-ml,https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000000,2021-12-02 15:32:40.000000,2021-12-02 15:32:40.000000,135,55.0,193.0,1524.0,,PyTorch extensions for high performance and large scale training.,50.0,23,True,2021-11-18 22:57:34.000000,0.4.3,25.0,fairscale,,['pytorch'],,32214.0,108.0,108.0,https://pypi.org/project/fairscale,2021-11-18 22:49:54.000000,0.0,32214.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n446,TensorFlow Privacy,tensorflow/privacy,,privacy-ml,https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000000,2021-12-01 23:06:32.000000,2021-12-01 23:06:31.000000,324,62.0,83.0,1519.0,554.0,Library for training machine learning models with privacy for training data.,43.0,23,True,2021-09-01 02:54:34.000000,0.7.3,17.0,tensorflow-privacy,,['tensorflow'],59.0,15989.0,2.0,,https://pypi.org/project/tensorflow-privacy,2021-09-01 02:54:34.000000,2.0,15987.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n447,modAL,modAL-python/modAL,,others,https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000000,2021-11-29 10:05:36.000000,2021-01-07 09:40:40.000000,226,62.0,53.0,1495.0,648.0,A modular active learning framework for Python.,14.0,23,True,2021-01-07 09:47:49.000000,0.4.1,12.0,modAL,,['sklearn'],19.0,1605.0,115.0,107.0,https://pypi.org/project/modAL,2021-01-07 09:47:49.000000,8.0,1605.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n448,sklearn-contrib-lightning,scikit-learn-contrib/lightning,,sklearn-utils,https://github.com/scikit-learn-contrib/lightning,https://github.com/scikit-learn-contrib/lightning,BSD-3-Clause,2012-01-11 13:53:52.000000,2021-11-13 15:37:21.493000,2021-06-15 21:53:37.000000,193,50.0,40.0,1493.0,728.0,\"Large-scale linear classification, regression and ranking in Python.\",17.0,23,True,2021-06-16 21:04:08.000000,0.6.1,10.0,sklearn-contrib-lightning,conda-forge/sklearn-contrib-lightning,['sklearn'],100.0,3978.0,106.0,96.0,https://pypi.org/project/sklearn-contrib-lightning,2021-06-15 21:53:28.000000,10.0,1517.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2021-11-13 15:37:21.493000,158946.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n449,bonobo,python-bonobo/bonobo,,data-pipelines,https://github.com/python-bonobo/bonobo,https://github.com/python-bonobo/bonobo,Apache-2.0,2016-12-09 04:03:23.000000,2021-11-10 16:43:45.000000,2021-03-10 15:44:00.000000,123,95.0,108.0,1475.0,978.0,Extract Transform Load for Python 3.5+.,37.0,23,True,2019-05-16 13:19:48.000000,0.6.4,38.0,bonobo,,,,3856.0,178.0,126.0,https://pypi.org/project/bonobo,2019-07-20 13:33:19.000000,52.0,3856.0,,,,3.0,http://docs.bonobo-project.org/en/master/,,,,,,,,,,,,,,,,,,,,,,,,,\n450,Karate Club,benedekrozemberczki/karateclub,,graph,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56.000000,2021-11-21 17:31:34.000000,2021-11-21 17:31:16.000000,170,,64.0,1446.0,2202.0,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,13.0,23,False,2021-09-29 21:05:51.000000,_10202,101.0,karateclub,,,,3321.0,63.0,63.0,https://pypi.org/project/karateclub,2021-09-29 21:00:31.000000,0.0,3321.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n451,streamparse,Parsely/streamparse,,data-pipelines,https://github.com/Parsely/streamparse,https://github.com/Parsely/streamparse,Apache-2.0,2014-05-02 20:33:50.000000,2021-06-21 22:49:33.000000,2020-12-18 18:43:59.000000,219,69.0,263.0,1445.0,1059.0,\"Run Python in Apache Storm topologies. Pythonic API, CLI tooling, and a topology DSL.\",41.0,23,True,2020-10-07 19:53:15.000000,4.0.0,47.0,streamparse,,,,3135.0,103.0,51.0,https://pypi.org/project/streamparse,2020-10-07 19:45:19.000000,52.0,3135.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n452,fklearn,nubank/fklearn,,ml-frameworks,https://github.com/nubank/fklearn,https://github.com/nubank/fklearn,Apache-2.0,2019-02-27 14:32:57.000000,2021-12-02 13:22:02.000000,2021-11-17 18:18:12.000000,150,19.0,21.0,1358.0,128.0,fklearn: Functional Machine Learning.,40.0,23,True,2021-10-29 18:26:34.000000,1.23.0,22.0,fklearn,,,,2408.0,10.0,10.0,https://pypi.org/project/fklearn,2021-10-29 18:26:34.000000,,2408.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n453,TNT,pytorch/tnt,,ml-experiments,https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58.000000,2021-01-22 09:14:29.000000,2021-01-05 19:36:17.000000,188,30.0,35.0,1354.0,156.0,\"Simple tools for logging and visualizing, loading and training.\",35.0,23,True,2019-11-15 12:57:59.000000,0.0.5.1,3.0,torchnet,,['pytorch'],,9761.0,50.0,,https://pypi.org/project/torchnet,2018-07-29 23:16:03.000000,50.0,9761.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n454,garage,rlworkgroup/garage,,reinforcement-learning,https://github.com/rlworkgroup/garage,https://github.com/rlworkgroup/garage,MIT,2018-06-10 21:31:23.000000,2021-10-20 05:09:03.000000,2021-10-20 05:09:03.000000,239,205.0,798.0,1348.0,1217.0,A toolkit for reproducible reinforcement learning research.,78.0,23,True,2021-03-23 22:18:36.000000,2021.3.0,21.0,garage,,['tensorflow'],,776.0,21.0,21.0,https://pypi.org/project/garage,2021-03-23 22:18:36.000000,0.0,776.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n455,lightning-flash,PyTorchLightning/lightning-flash,,pytorch-utils,https://github.com/PyTorchLightning/lightning-flash,https://github.com/PyTorchLightning/lightning-flash,Apache-2.0,2021-01-28 18:47:16.000000,2021-12-02 14:38:07.000000,2021-12-02 14:09:03.000000,126,89.0,294.0,1291.0,711.0,Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7..,56.0,23,True,2021-11-05 15:01:01.000000,0.5.2,27.0,lightning-flash,,['pytorch'],,1995.0,35.0,35.0,https://pypi.org/project/lightning-flash,2021-11-05 15:01:01.000000,0.0,1995.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n456,bt,pmorissette/bt,,financial-data,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28.000000,2021-05-15 18:58:08.000000,2021-05-15 18:58:08.000000,290,46.0,221.0,1227.0,438.0,bt - flexible backtesting for Python.,24.0,23,True,2021-04-21 02:52:26.000000,0.2.9,25.0,bt,,,,7272.0,123.0,83.0,https://pypi.org/project/bt,2021-04-21 02:52:26.000000,40.0,7272.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n457,arq,samuelcolvin/arq,,data-pipelines,https://github.com/samuelcolvin/arq,https://github.com/samuelcolvin/arq,MIT,2016-07-21 18:24:42.000000,2021-12-01 08:00:32.000000,2021-10-15 19:26:51.000000,83,31.0,90.0,1016.0,314.0,Fast job queuing and RPC in python with asyncio and redis.,32.0,23,True,2021-09-02 12:45:02.000000,0.22,55.0,arq,,,,10871.0,126.0,118.0,https://pypi.org/project/arq,2021-09-02 12:46:58.000000,8.0,10871.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n458,alibi-detect,SeldonIO/alibi-detect,,others,https://github.com/SeldonIO/alibi-detect,https://github.com/SeldonIO/alibi-detect,Apache-2.0,2019-10-07 13:29:13.000000,2021-12-02 11:02:33.000000,2021-12-02 11:02:33.000000,103,71.0,114.0,967.0,430.0,\"Algorithms for outlier, adversarial and drift detection.\",13.0,23,True,2021-10-29 10:56:10.000000,0.7.3,18.0,alibi-detect,,,,11755.0,48.0,46.0,https://pypi.org/project/alibi-detect,2021-10-29 10:53:12.000000,2.0,11755.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n459,minisom,JustGlowing/minisom,,others,https://github.com/JustGlowing/minisom,https://github.com/JustGlowing/minisom,CC-BY-3.0,2013-07-03 10:10:06.000000,2021-11-30 08:40:18.000000,2021-11-30 08:40:06.000000,305,10.0,83.0,966.0,460.0,MiniSom is a minimalistic implementation of the Self Organizing Maps.,23.0,23,False,2021-04-24 17:22:39.000000,2.2.9,1.0,minisom,,,,11734.0,215.0,207.0,https://pypi.org/project/minisom,2021-04-24 17:21:29.000000,8.0,11734.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n460,stockstats,jealous/stockstats,,financial-data,https://github.com/jealous/stockstats,https://github.com/jealous/stockstats,BSD-3-Clause,2016-06-05 15:21:22.000000,2021-11-20 06:22:47.000000,2021-11-20 06:22:44.000000,242,33.0,41.0,898.0,28.0,Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.,8.0,23,True,2020-10-17 11:10:43.000000,0.3.2,14.0,stockstats,,,,8590.0,401.0,353.0,https://pypi.org/project/stockstats,2020-10-17 11:10:43.000000,48.0,8590.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n461,Neural Structured Learning,tensorflow/neural-structured-learning,,tensorflow-utils,https://github.com/tensorflow/neural-structured-learning,https://github.com/tensorflow/neural-structured-learning,Apache-2.0,2019-08-27 21:48:16.000000,2021-11-12 16:48:40.000000,2021-11-12 16:48:24.000000,160,3.0,57.0,886.0,491.0,Training neural models with structured signals.,30.0,23,True,2020-08-18 00:35:35.000000,1.3.1,7.0,neural-structured-learning,,['tensorflow'],,7623.0,144.0,144.0,https://pypi.org/project/neural-structured-learning,2020-08-18 00:35:35.000000,0.0,7623.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n462,Node2Vec,eliorc/node2vec,,graph,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000000,2021-10-09 06:10:48.000000,2021-10-09 06:09:16.000000,185,1.0,67.0,812.0,64.0,Implementation of the node2vec algorithm.,9.0,23,True,2021-10-09 06:10:48.000000,0.4.4,15.0,node2vec,conda-forge/node2vec,,,184192.0,10.0,,https://pypi.org/project/node2vec,2021-10-09 06:07:52.000000,10.0,183738.0,https://anaconda.org/conda-forge/node2vec,2020-04-25 22:41:13.714000,19553.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n463,GPUtil,anderskm/gputil,,gpu-utilities,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43.000000,2020-10-01 05:42:49.000000,2019-08-16 09:00:15.000000,85,11.0,14.0,795.0,140.0,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,13.0,23,False,2018-12-18 09:12:13.000000,1.4.0,8.0,gputil,,,,331590.0,1693.0,1591.0,https://pypi.org/project/gputil,2018-12-18 09:12:13.000000,102.0,331590.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n464,ploomber,ploomber/ploomber,,data-pipelines,https://github.com/ploomber/ploomber,https://github.com/ploomber/ploomber,Apache-2.0,2020-01-20 20:13:06.000000,2021-12-02 14:02:37.000000,2021-12-02 14:02:23.000000,63,75.0,321.0,765.0,2183.0,\"Write maintainable, production-ready pipelines using Jupyter or your favorite text editor. Develop locally, deploy to..\",23.0,23,True,2021-11-17 19:15:24.000000,0.13.6,61.0,ploomber,,,,2648.0,21.0,21.0,https://pypi.org/project/ploomber,2021-11-17 19:15:24.000000,0.0,2648.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n465,Sentinelsat,sentinelsat/sentinelsat,,geospatial-data,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26.000000,2021-12-02 13:46:18.000000,2021-12-02 13:46:18.000000,194,6.0,306.0,692.0,,Search and download Copernicus Sentinel satellite images.,42.0,23,False,2021-08-19 17:37:51.000000,1.1.0,39.0,sentinelsat,,,225.0,10070.0,296.0,252.0,https://pypi.org/project/sentinelsat,2021-08-19 17:37:51.000000,44.0,10067.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n466,explainerdashboard,oegedijk/explainerdashboard,,interpretability,https://github.com/oegedijk/explainerdashboard,https://github.com/oegedijk/explainerdashboard,MIT,2019-10-30 08:26:16.000000,2021-10-24 19:56:57.000000,2021-10-24 19:30:56.000000,88,19.0,111.0,683.0,1220.0,Quickly build Explainable AI dashboards that show the inner workings of so-called blackbox machine learning models.,12.0,23,True,2021-10-24 19:56:57.000000,0.3.7,78.0,explainerdashboard,,,,4466.0,45.0,45.0,https://pypi.org/project/explainerdashboard,2021-10-24 19:56:57.000000,,4466.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n467,CellProfiler,CellProfiler/CellProfiler,,image,https://github.com/CellProfiler/CellProfiler,https://github.com/CellProfiler/CellProfiler,BSD-3-Clause,2011-04-05 12:10:12.000000,2021-11-22 12:29:52.000000,2021-11-05 20:24:04.000000,294,194.0,2817.0,632.0,15358.0,An open-source application for biological image analysis.,121.0,23,True,2021-07-22 19:01:42.000000,4.2.1,43.0,cellprofiler,,,1889.0,652.0,5.0,5.0,https://pypi.org/project/cellprofiler,2017-09-04 18:03:36.000000,,633.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n468,pickleDB,patx/pickledb,,data-containers,https://github.com/patx/pickledb,https://github.com/patx/pickledb,BSD-3-Clause,2011-10-28 00:04:40.000000,2021-11-09 10:02:37.000000,2019-11-15 03:38:30.000000,106,22.0,39.0,619.0,105.0,pickleDB is an open source key-value store using Python's json module.,12.0,23,False,2019-01-14 18:48:25.000000,0.9.2,20.0,pickledb,,,,11565.0,889.0,777.0,https://pypi.org/project/pickledb,2019-01-14 18:48:25.000000,112.0,11565.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n469,python-ternary,marcharper/python-ternary,,data-viz,https://github.com/marcharper/python-ternary,https://github.com/marcharper/python-ternary,MIT,2012-08-07 23:48:55.000000,2021-10-21 03:04:53.000000,2021-10-21 03:04:53.000000,127,25.0,90.0,494.0,393.0,Ternary plotting library for python with matplotlib.,27.0,23,True,2021-02-17 18:38:15.000000,1.0.8,11.0,python-ternary,conda-forge/python-ternary,,17.0,15616.0,96.0,76.0,https://pypi.org/project/python-ternary,2021-02-17 18:38:15.000000,20.0,14734.0,https://anaconda.org/conda-forge/python-ternary,2021-02-17 22:38:55.625000,59983.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n470,findspark,minrk/findspark,,others,https://github.com/minrk/findspark,https://github.com/minrk/findspark,BSD-3-Clause,2015-06-12 21:34:06.000000,2021-06-14 06:11:28.000000,2021-06-14 06:10:09.000000,66,11.0,10.0,423.0,,Find pyspark to make it importable.,14.0,23,True,2020-06-08 09:32:23.000000,1.4.2,12.0,findspark,conda-forge/findspark,['spark'],,1317718.0,2292.0,2090.0,https://pypi.org/project/findspark,2020-06-08 09:32:23.000000,202.0,1308719.0,https://anaconda.org/conda-forge/findspark,2018-07-06 12:57:33.438000,593964.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n471,pysparkling,svenkreiss/pysparkling,,data-pipelines,https://github.com/svenkreiss/pysparkling,https://github.com/svenkreiss/pysparkling,MIT,2015-05-09 19:23:20.000000,2021-10-31 16:40:25.000000,2021-02-22 17:29:11.000000,45,7.0,21.0,241.0,1527.0,A pure Python implementation of Apache Spark's RDD and DStream interfaces.,10.0,23,False,2021-01-10 21:15:26.000000,0.6.1,68.0,pysparkling,,,,14223.0,93.0,79.0,https://pypi.org/project/pysparkling,2021-01-10 21:15:26.000000,14.0,14223.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n472,PyStan,stan-dev/pystan,,probabilistics,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,ISC,2017-03-06 19:56:42.094000,2021-10-27 08:33:56.000000,2021-10-21 11:47:11.000000,33,8.0,149.0,140.0,,\"PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io.\",10.0,23,False,2021-10-06 01:05:34.000000,3.3.0,65.0,pystan,conda-forge/pystan,,,1352750.0,342.0,,https://pypi.org/project/pystan,2021-10-06 01:05:34.000000,342.0,1329440.0,https://anaconda.org/conda-forge/pystan,2021-09-21 02:32:24.465000,1328699.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n473,cortex,cortexlabs/cortex,,model-serialisation,https://github.com/cortexlabs/cortex,https://github.com/cortexlabs/cortex,Apache-2.0,2019-01-24 04:43:14.000000,2021-12-02 01:49:57.000000,2021-12-02 01:21:46.000000,582,107.0,971.0,7617.0,2283.0,Production infrastructure for machine learning at scale.,23.0,22,True,2021-08-05 04:33:35.000000,0.40.0,60.0,cortex,,,,1076.0,0.0,,https://pypi.org/project/cortex,2021-08-05 04:27:22.000000,0.0,1076.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n474,vit-pytorch,lucidrains/vit-pytorch,,image,https://github.com/lucidrains/vit-pytorch,https://github.com/lucidrains/vit-pytorch,MIT,2020-10-03 22:47:24.000000,2021-11-24 16:13:52.000000,2021-11-24 16:13:52.000000,994,71.0,79.0,6888.0,,\"Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single..\",12.0,22,True,2021-11-23 02:09:31.000000,0.24.2,101.0,vit-pytorch,,['pytorch'],,4615.0,53.0,53.0,https://pypi.org/project/vit-pytorch,2021-11-23 02:09:31.000000,0.0,4615.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n475,PyText,facebookresearch/pytext,,nlp,https://github.com/facebookresearch/pytext,https://github.com/facebookresearch/pytext,BSD-3-Clause,2018-07-31 23:40:46.000000,2021-11-25 06:45:18.000000,2021-11-25 06:45:15.000000,804,145.0,74.0,6266.0,,A natural language modeling framework based on PyTorch.,215.0,22,True,2020-06-08 23:30:58.000000,0.3.3,13.0,pytext-nlp,,['pytorch'],280.0,163.0,104.0,103.0,https://pypi.org/project/pytext-nlp,2020-06-08 22:49:33.000000,1.0,156.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n476,mmdnn,Microsoft/MMdnn,,model-serialisation,https://github.com/microsoft/MMdnn,https://github.com/microsoft/MMdnn,MIT,2017-08-16 08:03:52.000000,2021-03-01 14:17:24.000000,2020-08-14 02:32:30.000000,964,327.0,288.0,5468.0,1083.0,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,85.0,22,False,2020-07-24 06:34:39.000000,0.3.1,12.0,mmdnn,,,3471.0,870.0,69.0,66.0,https://pypi.org/project/mmdnn,2020-07-24 06:34:39.000000,3.0,800.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n477,deep-daze,lucidrains/deep-daze,,image,https://github.com/lucidrains/deep-daze,https://github.com/lucidrains/deep-daze,MIT,2021-01-17 06:00:50.000000,2021-10-19 02:59:23.000000,2021-10-19 02:58:47.000000,270,82.0,71.0,3938.0,,Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation..,13.0,22,True,2021-10-19 02:59:23.000000,0.10.3,65.0,deep-daze,,,,15531.0,32.0,32.0,https://pypi.org/project/deep-daze,2021-10-19 02:59:23.000000,,15531.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n478,Image Deduplicator,idealo/imagededup,,image,https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54.000000,2021-10-03 16:17:32.000000,2020-11-23 17:40:40.000000,331,30.0,59.0,3893.0,460.0,Finding duplicate images made easy!.,10.0,22,False,2020-11-23 17:55:24.000000,0.2.4,9.0,imagededup,,['tensorflow'],,2161.0,22.0,20.0,https://pypi.org/project/imagededup,2020-11-22 21:09:36.000000,2.0,2161.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n479,torchdiffeq,rtqichen/torchdiffeq,,pytorch-utils,https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25.000000,2021-09-22 21:49:42.000000,2021-09-22 21:49:42.000000,655,27.0,129.0,3801.0,224.0,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,20.0,22,True,2021-06-02 23:04:51.000000,0.2.2,6.0,torchdiffeq,,['pytorch'],,5916.0,174.0,174.0,https://pypi.org/project/torchdiffeq,2021-06-02 23:04:51.000000,0.0,5916.0,,,,2.0,,,,,,,-3.0,,,,,,,,,,,,,,,,,,,\n480,ArrayFire,arrayfire/arrayfire,,gpu-utilities,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000000,2021-11-05 19:29:01.000000,2021-10-15 20:16:28.000000,492,232.0,1258.0,3674.0,5776.0,ArrayFire: a general purpose GPU library.,81.0,22,True,2021-01-08 21:41:09.000000,3.8.0,30.0,arrayfire,,,1706.0,370.0,8.0,,https://pypi.org/project/arrayfire,2021-03-05 17:36:30.000000,8.0,349.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n481,TensorTrade,tensortrade-org/tensortrade,,financial-data,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32.000000,2021-11-26 00:58:29.000000,2021-11-26 00:58:29.000000,817,26.0,167.0,3623.0,925.0,\"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.\",56.0,22,True,2021-05-10 18:04:30.000000,1.0.3,27.0,tensortrade,,,,652.0,28.0,27.0,https://pypi.org/project/tensortrade,2021-05-10 18:00:35.000000,1.0,652.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n482,segmentation_models,qubvel/segmentation_models,,image,https://github.com/qubvel/segmentation_models,https://github.com/qubvel/segmentation_models,MIT,2018-06-05 13:27:56.000000,2021-05-18 07:51:15.000000,2020-04-17 09:51:20.000000,831,197.0,253.0,3553.0,204.0,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,14.0,22,False,2020-01-10 11:36:02.000000,1.0.1,8.0,segmentation_models,,['tensorflow'],,38356.0,24.0,,https://pypi.org/project/segmentation_models,2020-01-10 11:36:02.000000,24.0,38356.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n483,AdaNet,tensorflow/adanet,,hyperopt,https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24.000000,2021-08-30 19:33:24.000000,2021-08-30 19:33:24.000000,520,65.0,47.0,3342.0,440.0,Fast and flexible AutoML with learning guarantees.,27.0,22,True,2020-07-09 21:03:28.000000,0.9.0,13.0,adanet,,['tensorflow'],,843.0,43.0,41.0,https://pypi.org/project/adanet,2020-07-09 21:03:28.000000,2.0,843.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n484,TRFL,deepmind/trfl,,reinforcement-learning,https://github.com/deepmind/trfl,https://github.com/deepmind/trfl,Apache-2.0,2018-08-08 14:44:11.000000,2021-08-16 12:19:16.000000,2021-08-16 11:45:18.000000,372,6.0,16.0,3098.0,123.0,TensorFlow Reinforcement Learning.,13.0,22,True,2021-08-16 12:19:16.000000,1.2.0,5.0,trfl,,['tensorflow'],,2093.0,72.0,68.0,https://pypi.org/project/trfl,2021-08-16 12:19:16.000000,4.0,2093.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n485,SHOGUN,shogun-toolbox/shogun,,ml-frameworks,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32.000000,2021-07-19 16:40:30.000000,2020-12-08 16:56:38.000000,1047,437.0,1099.0,2856.0,16205.0,Unified and efficient Machine Learning.,248.0,22,True,2019-07-05 10:23:31.000000,shogun_6.1.4,10.0,,conda-forge/shogun,,,2075.0,,,,,,,https://anaconda.org/conda-forge/shogun,2018-06-25 20:49:17.070000,109405.0,3.0,,shogun/shogun,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1470.0,,,,,,,,,shogun,,,,,,,,,,,\n486,scikit-opt,guofei9987/scikit-opt,,sklearn-utils,https://github.com/guofei9987/scikit-opt,https://github.com/guofei9987/scikit-opt,MIT,2017-12-05 10:20:41.000000,2021-10-15 20:00:02.000000,2021-09-26 12:16:22.000000,647,28.0,96.0,2741.0,296.0,\"Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune..\",13.0,22,True,2021-06-28 12:45:52.000000,0.6.5,22.0,scikit-opt,,['sklearn'],,1057.0,60.0,54.0,https://pypi.org/project/scikit-opt,2021-06-28 12:36:56.000000,6.0,1057.0,,,,2.0,,,,,,,-2.0,,,,,,,,,,,,,,,,,,,\n487,Hummingbird,microsoft/hummingbird,,model-serialisation,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000000,2021-11-15 19:52:56.000000,2021-11-15 19:38:33.000000,203,49.0,173.0,2693.0,,Hummingbird compiles trained ML models into tensor computation for faster inference.,26.0,22,True,2021-08-31 22:55:45.000000,0.4.1,14.0,hummingbird-ml,,,147.0,2405.0,20.0,20.0,https://pypi.org/project/hummingbird-ml,2021-08-31 22:53:58.000000,,2398.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n488,Porcupine,Picovoice/Porcupine,,audio,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000000,2021-12-02 01:31:49.000000,2021-12-01 02:34:54.000000,374,12.0,329.0,2599.0,605.0,On-device wake word detection powered by deep learning.,29.0,22,True,2021-11-30 19:16:26.000000,2.0.1,21.0,pvporcupine,,,,647.0,6.0,6.0,https://pypi.org/project/pvporcupine,2021-11-30 19:16:26.000000,0.0,647.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n489,Enigma Catalyst,enigmampc/catalyst,,financial-data,https://github.com/scrtlabs/catalyst,https://github.com/scrtlabs/catalyst,Apache-2.0,2017-06-13 22:31:34.000000,2021-09-22 15:32:01.000000,2021-09-22 15:31:55.000000,669,123.0,358.0,2309.0,6364.0,An Algorithmic Trading Library for Crypto-Assets in Python.,147.0,22,True,2018-11-11 16:46:28.000000,0.5.21,52.0,enigma-catalyst,,,,545.0,25.0,23.0,https://pypi.org/project/enigma-catalyst,2018-11-11 16:46:28.000000,2.0,545.0,,,,3.0,,,,,,,,,,,,,,,,scrtlabs/catalyst,,,,,,,,,,\n490,knockknock,huggingface/knockknock,,ml-experiments,https://github.com/huggingface/knockknock,https://github.com/huggingface/knockknock,MIT,2019-03-20 13:08:55.000000,2021-09-22 02:27:34.000000,2020-03-16 04:26:47.000000,190,14.0,23.0,2294.0,75.0,Knock Knock: Get notified when your training ends with only two additional lines of code.,18.0,22,False,2020-03-04 04:15:47.000000,0.1.8,10.0,knockknock,conda-forge/knockknock,,,2008.0,229.0,226.0,https://pypi.org/project/knockknock,2020-03-16 14:30:23.000000,3.0,1692.0,https://anaconda.org/conda-forge/knockknock,2020-03-17 01:52:16.317000,8236.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n491,Mars,mars-project/mars,,others,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03.000000,2021-12-02 13:28:54.000000,2021-12-02 11:35:55.000000,285,142.0,781.0,2288.0,991.0,\"Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and..\",38.0,22,True,2021-10-23 17:50:11.000000,0.7.5,100.0,pymars,,,,1840.0,0.0,,https://pypi.org/project/pymars,2021-10-23 17:50:11.000000,0.0,1840.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n492,STUMPY,TDAmeritrade/stumpy,,time-series-data,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000000,2021-11-26 21:08:38.000000,2021-11-26 21:08:20.000000,193,31.0,240.0,2009.0,,STUMPY is a powerful and scalable Python library for modern time series analysis.,26.0,22,True,2021-11-20 21:33:28.000000,1.10.0,23.0,stumpy,conda-forge/stumpy,,,267824.0,0.0,,https://pypi.org/project/stumpy,2021-11-20 21:30:59.000000,0.0,266750.0,https://anaconda.org/conda-forge/stumpy,2021-11-20 22:08:06.805000,33311.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n493,DDSP,magenta/ddsp,,audio,https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27.000000,2021-11-30 01:16:44.000000,2021-11-24 22:03:54.000000,211,21.0,105.0,2009.0,,DDSP: Differentiable Digital Signal Processing.,29.0,22,True,2021-11-22 18:43:52.000000,1.7.0,38.0,ddsp,,['tensorflow'],,1176.0,17.0,17.0,https://pypi.org/project/ddsp,2021-11-22 18:40:07.000000,,1176.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n494,SRU,asappresearch/sru,,pytorch-utils,https://github.com/asappresearch/sru,https://github.com/asappresearch/sru,MIT,2017-08-28 20:37:41.000000,2021-06-29 18:11:30.000000,2021-05-19 15:52:48.000000,293,53.0,66.0,2004.0,400.0,Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755).,21.0,22,True,2021-05-18 16:13:10.000000,2.6.0,32.0,sru,,['pytorch'],,2862.0,19.0,17.0,https://pypi.org/project/sru,2021-06-17 23:33:37.000000,2.0,2862.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n495,m2cgen,BayesWitnesses/m2cgen,,model-serialisation,https://github.com/BayesWitnesses/m2cgen,https://github.com/BayesWitnesses/m2cgen,MIT,2019-01-13 02:32:55.000000,2021-11-25 12:36:04.000000,2021-11-25 12:36:04.000000,161,36.0,48.0,1946.0,327.0,\"Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart,..\",12.0,22,True,2020-09-18 19:17:26.000000,0.9.0,12.0,m2cgen,,,,39144.0,7.0,7.0,https://pypi.org/project/m2cgen,2020-09-18 19:16:17.000000,,39144.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n496,aim,aimhubio/aim,,ml-experiments,https://github.com/aimhubio/aim,https://github.com/aimhubio/aim,Apache-2.0,2019-05-31 18:25:07.000000,2021-12-02 15:25:48.000000,2021-12-02 13:26:28.000000,105,110.0,160.0,1826.0,,Aim an easy-to-use and performant open-source experiment tracker.,20.0,22,True,2021-11-25 05:02:34.000000,3.1.1,104.0,aim,,,,26113.0,44.0,42.0,https://pypi.org/project/aim,2021-11-25 05:36:27.000000,2.0,26113.0,,,,3.0,,,,,,,2.0,,,,,,,,,,,,,,,,,,,\n497,Pillow-SIMD,uploadcare/pillow-simd,,image,https://github.com/uploadcare/pillow-simd,https://github.com/uploadcare/pillow-simd,PIL,2014-11-12 15:33:02.000000,2021-08-02 11:34:58.000000,2020-06-02 14:50:14.000000,72,12.0,57.0,1686.0,,The friendly PIL fork.,310.0,22,False,2020-01-02 05:19:26.000000,7.0.0,35.0,pillow-simd,,,,28713.0,539.0,489.0,https://pypi.org/project/pillow-simd,2020-01-26 14:30:27.000000,50.0,28713.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n498,reformer-pytorch,lucidrains/reformer-pytorch,,pytorch-utils,https://github.com/lucidrains/reformer-pytorch,https://github.com/lucidrains/reformer-pytorch,MIT,2020-01-09 20:42:37.000000,2021-11-06 23:09:00.000000,2021-11-06 23:08:22.000000,220,13.0,104.0,1643.0,245.0,\"Reformer, the efficient Transformer, in Pytorch.\",10.0,22,True,2021-11-06 23:09:00.000000,1.4.4,139.0,reformer-pytorch,,['pytorch'],,20550.0,,,https://pypi.org/project/reformer-pytorch,2021-11-06 23:09:00.000000,,20550.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n499,Torch Points 3D,nicolas-chaulet/torch-points3d,,image,https://github.com/nicolas-chaulet/torch-points3d,https://github.com/nicolas-chaulet/torch-points3d,BSD-3-Clause,2019-12-06 11:33:34.000000,2021-11-09 18:19:26.000000,2021-11-09 18:19:21.000000,250,87.0,208.0,1608.0,1774.0,Pytorch framework for doing deep learning on point clouds.,29.0,22,True,2021-04-30 09:00:22.000000,1.3.0,14.0,torch-points3d,,['pytorch'],,735.0,4.0,4.0,https://pypi.org/project/torch-points3d,2021-04-30 09:00:22.000000,,735.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n500,Torchmeta,tristandeleu/pytorch-meta,,pytorch-utils,https://github.com/tristandeleu/pytorch-meta,https://github.com/tristandeleu/pytorch-meta,MIT,2018-12-04 23:36:45.000000,2021-09-20 16:06:33.000000,2021-09-20 16:03:46.000000,181,31.0,87.0,1502.0,382.0,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.,12.0,22,True,2021-09-20 16:06:33.000000,1.8.0,28.0,torchmeta,,['pytorch'],,794.0,76.0,76.0,https://pypi.org/project/torchmeta,2021-09-20 16:06:33.000000,,794.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n501,pygraphistry,graphistry/pygraphistry,,graph,https://github.com/graphistry/pygraphistry,https://github.com/graphistry/pygraphistry,BSD-3-Clause,2015-06-02 20:28:42.000000,2021-12-02 09:08:35.000000,2021-12-01 04:24:08.000000,145,64.0,107.0,1499.0,813.0,\"PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated..\",19.0,22,True,2021-11-22 07:12:54.000000,0.20.4,125.0,graphistry,,['jupyter'],,746.0,56.0,52.0,https://pypi.org/project/graphistry,2021-11-22 07:12:54.000000,4.0,746.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n502,Magnitude,plasticityai/magnitude,,nn-search,https://github.com/plasticityai/magnitude,https://github.com/plasticityai/magnitude,MIT,2018-02-24 07:28:16.000000,2021-02-23 18:10:43.000000,2020-07-17 20:19:46.000000,103,29.0,51.0,1495.0,350.0,\"A fast, efficient universal vector embedding utility package.\",4.0,22,False,2020-05-25 11:26:36.000000,0.1.143,128.0,pymagnitude,,,,3947.0,224.0,210.0,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36.000000,14.0,3947.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n503,RecBole,RUCAIBox/RecBole,,recommender-systems,https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000000,2021-12-01 02:24:46.000000,2021-12-01 02:24:46.000000,240,43.0,205.0,1436.0,3374.0,\"A unified, comprehensive and efficient recommendation library.\",41.0,22,True,2021-09-16 13:45:46.000000,1.0.0,6.0,recbole,aibox/recbole,['pytorch'],,461.0,,,https://pypi.org/project/recbole,2021-09-16 13:45:46.000000,,395.0,https://anaconda.org/aibox/recbole,2021-09-16 16:45:01.892000,869.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n504,datatable,h2oai/datatable,,data-containers,https://github.com/h2oai/datatable,https://github.com/h2oai/datatable,MPL-2.0,2017-03-03 02:32:59.000000,2021-12-01 07:18:30.000000,2021-11-19 00:35:38.000000,123,138.0,1246.0,1412.0,,A Python package for manipulating 2-dimensional tabular data structures.,32.0,22,True,2021-07-02 00:15:35.000000,1.0.0,16.0,datatable,,,1194.0,70715.0,6.0,,https://pypi.org/project/datatable,2021-07-01 23:36:34.000000,6.0,70693.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n505,EfficientNets,rwightman/gen-efficientnet-pytorch,,pytorch-utils,https://github.com/rwightman/gen-efficientnet-pytorch,https://github.com/rwightman/gen-efficientnet-pytorch,Apache-2.0,2019-05-11 19:35:56.000000,2021-07-08 19:05:05.000000,2021-07-08 19:03:55.000000,188,2.0,49.0,1412.0,108.0,\"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.\",5.0,22,True,2021-07-08 19:05:05.000000,1.0.2,10.0,geffnet,,['pytorch'],,6576.0,84.0,84.0,https://pypi.org/project/geffnet,2021-07-08 19:05:05.000000,0.0,6576.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n506,FinTA,peerchemist/finta,,financial-data,https://github.com/peerchemist/finta,https://github.com/peerchemist/finta,LGPL-3.0,2016-09-01 21:02:46.000000,2021-10-19 18:06:53.000000,2021-10-19 18:06:53.000000,431,16.0,63.0,1357.0,392.0,Common financial technical indicators implemented in Pandas.,27.0,22,False,2021-04-03 08:51:49.000000,1.3,19.0,finta,,,,5168.0,137.0,133.0,https://pypi.org/project/finta,2020-10-21 11:39:44.000000,4.0,5168.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n507,lightly,lightly-ai/lightly,,image,https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000000,2021-12-02 12:48:18.000000,2021-12-01 09:12:41.000000,84,64.0,224.0,1331.0,559.0,A python library for self-supervised learning on images.,14.0,22,True,2021-12-01 16:05:36.000000,1.2.0,36.0,lightly,,['pytorch'],,1351.0,25.0,25.0,https://pypi.org/project/lightly,2021-12-01 16:08:58.000000,0.0,1351.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n508,sense2vec,explosion/sense2vec,,nlp,https://github.com/explosion/sense2vec,https://github.com/explosion/sense2vec,MIT,2016-01-23 22:15:49.000000,2021-08-16 11:44:51.000000,2021-08-16 11:44:51.000000,216,19.0,87.0,1320.0,454.0,Contextually-keyed word vectors.,17.0,22,True,2021-04-19 07:05:28.000000,3.0.0,22.0,sense2vec,conda-forge/sense2vec,,22709.0,4029.0,112.0,100.0,https://pypi.org/project/sense2vec,2021-04-19 07:05:28.000000,12.0,2638.0,https://anaconda.org/conda-forge/sense2vec,2021-07-14 13:20:19.752000,23632.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n509,pyts,johannfaouzi/pyts,,time-series-data,https://github.com/johannfaouzi/pyts,https://github.com/johannfaouzi/pyts,BSD-3-Clause,2017-07-31 09:23:16.000000,2021-10-31 15:13:32.850000,2021-10-31 13:30:02.000000,114,32.0,24.0,1112.0,,A Python package for time series classification.,9.0,22,True,2021-10-31 13:51:09.000000,0.12.0,18.0,pyts,conda-forge/pyts,,,11485.0,159.0,155.0,https://pypi.org/project/pyts,2021-10-31 13:51:09.000000,4.0,11143.0,https://anaconda.org/conda-forge/pyts,2021-10-31 15:13:32.850000,9581.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n510,gplearn,trevorstephens/gplearn,,others,https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14.000000,2021-10-18 05:33:30.000000,2021-10-18 05:33:29.000000,180,44.0,126.0,1042.0,148.0,\"Genetic Programming in Python, with a scikit-learn inspired API.\",10.0,22,True,2019-06-01 02:04:52.000000,0.4.1,5.0,gplearn,,['sklearn'],,2668.0,222.0,208.0,https://pypi.org/project/gplearn,2019-06-01 02:04:52.000000,14.0,2668.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n511,ChainerRL,chainer/chainerrl,,reinforcement-learning,https://github.com/chainer/chainerrl,https://github.com/chainer/chainerrl,MIT,2017-01-30 04:58:15.000000,2021-08-10 18:25:48.000000,2021-04-17 06:02:30.000000,208,75.0,147.0,1005.0,3471.0,ChainerRL is a deep reinforcement learning library built on top of Chainer.,29.0,22,True,2020-02-14 05:35:56.000000,0.8.0,10.0,chainerrl,,,,414.0,120.0,106.0,https://pypi.org/project/chainerrl,2020-02-14 05:35:56.000000,14.0,414.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n512,Opacus,pytorch/opacus,,privacy-ml,https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000000,2021-12-02 15:08:08.000000,2021-12-02 15:03:31.000000,150,15.0,90.0,956.0,,Training PyTorch models with differential privacy.,36.0,22,True,2021-12-01 08:54:32.000000,1.0.0,11.0,opacus,,['pytorch'],40.0,2342.0,63.0,63.0,https://pypi.org/project/opacus,2021-12-01 08:54:32.000000,0.0,2340.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n513,fastFM,ibayer/fastFM,,recommender-systems,https://github.com/ibayer/fastFM,https://github.com/ibayer/fastFM,BSD-3-Clause,2014-10-27 12:25:51.000000,2021-11-02 08:59:28.000000,2021-03-24 12:22:31.000000,190,46.0,60.0,954.0,297.0,fastFM: A Library for Factorization Machines.,20.0,22,True,2017-11-23 06:59:56.000000,0.2.11,10.0,fastfm,,,423.0,2248.0,99.0,91.0,https://pypi.org/project/fastfm,2017-11-23 06:59:56.000000,8.0,2243.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n514,tf-explain,sicara/tf-explain,,interpretability,https://github.com/sicara/tf-explain,https://github.com/sicara/tf-explain,MIT,2019-07-15 08:26:24.000000,2021-11-30 09:54:42.000000,2021-11-30 09:54:40.000000,88,39.0,49.0,884.0,206.0,Interpretability Methods for tf.keras models with Tensorflow 2.x.,15.0,22,True,2021-11-18 20:57:29.000000,0.3.1,8.0,tf-explain,,['tensorflow'],,1221.0,94.0,92.0,https://pypi.org/project/tf-explain,2021-11-18 20:57:29.000000,2.0,1221.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n515,scikit-cuda,lebedov/scikit-cuda,,gpu-utilities,https://github.com/lebedov/scikit-cuda,https://github.com/lebedov/scikit-cuda,BSD-3-Clause,2010-09-27 02:02:07.000000,2021-07-13 12:58:06.000000,2021-07-13 12:58:06.000000,166,50.0,166.0,867.0,1032.0,Python interface to GPU-powered libraries.,45.0,22,True,2019-05-27 00:29:00.000000,0.5.3,7.0,scikit-cuda,,,,837.0,216.0,146.0,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00.000000,70.0,837.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n516,torch-scatter,rusty1s/pytorch_scatter,,pytorch-utils,https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23.000000,2021-11-13 17:38:08.000000,2021-11-13 17:38:07.000000,89,22.0,208.0,829.0,970.0,PyTorch Extension Library of Optimized Scatter Operations.,18.0,22,True,2021-10-22 11:01:13.000000,2.0.9,29.0,torch-scatter,,['pytorch'],,25263.0,32.0,,https://pypi.org/project/torch-scatter,2021-10-22 11:01:13.000000,32.0,25263.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n517,audiomentations,iver56/audiomentations,,audio,https://github.com/iver56/audiomentations,https://github.com/iver56/audiomentations,MIT,2019-02-12 16:36:24.000000,2021-11-22 14:07:17.000000,2021-11-22 14:07:11.000000,101,24.0,66.0,785.0,544.0,A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.,19.0,22,True,2021-11-18 14:29:10.000000,0.20.0,22.0,audiomentations,,,,1737.0,91.0,91.0,https://pypi.org/project/audiomentations,2021-11-18 14:29:10.000000,,1737.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n518,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,,data-viz,https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14.000000,2021-11-01 09:41:26.000000,2021-05-10 08:14:09.000000,91,25.0,66.0,732.0,289.0,Bokeh Plotting Backend for Pandas and GeoPandas.,12.0,22,True,2021-04-11 17:43:13.000000,0.5.5,16.0,pandas-bokeh,,['pandas'],,7948.0,262.0,252.0,https://pypi.org/project/pandas-bokeh,2021-04-11 17:43:13.000000,10.0,7948.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n519,Prince,MaxHalford/prince,,others,https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000000,2021-11-26 22:15:17.000000,2021-11-26 22:15:17.000000,129,34.0,67.0,730.0,194.0,\"Python factor analysis library (PCA, CA, MCA, MFA, FAMD).\",10.0,22,True,2020-10-06 11:26:47.000000,0.7.1,41.0,prince,,['sklearn'],,12036.0,170.0,164.0,https://pypi.org/project/prince,2020-10-06 11:26:47.000000,6.0,12036.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n520,gmaps,pbugnion/gmaps,,geospatial-data,https://github.com/pbugnion/gmaps,https://github.com/pbugnion/gmaps,BSD-3-Clause,2014-12-01 09:12:06.000000,2020-10-13 07:09:18.000000,2019-07-22 06:22:45.000000,143,66.0,136.0,722.0,1380.0,Google maps for Jupyter notebooks.,16.0,22,False,2019-07-21 08:49:48.715000,0.9.0,94.0,gmaps,conda-forge/gmaps,['jupyter'],,17758.0,75.0,1.0,https://pypi.org/project/gmaps,2019-07-21 08:49:39.000000,74.0,11325.0,https://anaconda.org/conda-forge/gmaps,2019-08-02 11:56:50.940000,248930.0,3.0,,,,,,,,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715000,,1907.0,,,,,,,,,,,,,\n521,scikit-multilearn,scikit-multilearn/scikit-multilearn,,sklearn-utils,https://github.com/scikit-multilearn/scikit-multilearn,https://github.com/scikit-multilearn/scikit-multilearn,BSD-2-Clause,2014-04-30 13:05:44.000000,2020-06-30 10:19:46.000000,2019-05-21 11:29:06.000000,130,72.0,94.0,701.0,487.0,A scikit-learn based module for multi-label et. al. classification.,15.0,22,False,2018-12-10 16:24:47.000000,0.2.0,6.0,scikit-multilearn,,['sklearn'],,43605.0,615.0,593.0,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47.000000,22.0,43605.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n522,lets-plot,JetBrains/lets-plot,,data-viz,https://github.com/JetBrains/lets-plot,https://github.com/JetBrains/lets-plot,MIT,2019-03-20 16:13:03.000000,2021-12-01 18:04:02.000000,2021-12-01 02:43:31.000000,31,71.0,146.0,699.0,2282.0,An open-source plotting library for statistical data.,16.0,22,True,2021-10-29 19:15:50.000000,2.2.0,43.0,lets-plot,,,126.0,1256.0,12.0,12.0,https://pypi.org/project/lets-plot,2021-10-29 18:51:33.000000,0.0,1251.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n523,NeuPy,itdxer/neupy,,ml-frameworks,https://github.com/itdxer/neupy,https://github.com/itdxer/neupy,MIT,2015-08-24 19:45:11.000000,2021-09-29 17:25:21.000000,2019-09-02 19:02:38.000000,149,30.0,234.0,692.0,1145.0,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,7.0,22,False,2019-04-04 19:44:59.000000,0.8.2,34.0,neupy,,,,2184.0,128.0,117.0,https://pypi.org/project/neupy,2019-04-04 19:43:06.000000,11.0,2184.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n524,TreeInterpreter,andosa/treeinterpreter,,interpretability,https://github.com/andosa/treeinterpreter,https://github.com/andosa/treeinterpreter,BSD-3-Clause,2015-08-02 20:26:21.000000,2021-02-28 18:33:06.000000,2021-02-28 18:33:06.000000,133,24.0,4.0,684.0,37.0,Package for interpreting scikit-learn's decision tree and random forest predictions.,11.0,22,True,2021-01-10 20:12:39.000000,0.2.3,5.0,treeinterpreter,,['sklearn'],,172738.0,196.0,178.0,https://pypi.org/project/treeinterpreter,2021-01-10 20:12:39.000000,18.0,172738.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n525,Guild AI,guildai/guildai,,ml-experiments,https://github.com/guildai/guildai,https://github.com/guildai/guildai,Apache-2.0,2017-09-27 18:57:50.000000,2021-11-15 16:46:41.000000,2021-11-15 16:46:15.000000,56,116.0,174.0,642.0,4569.0,\"Experiment tracking, ML developer tools.\",18.0,22,True,2021-10-12 21:28:06.000000,0.7.4,173.0,guildai,,,,3607.0,38.0,38.0,https://pypi.org/project/guildai,2021-11-15 16:45:14.000000,,3607.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n526,PDPbox,SauceCat/PDPbox,,data-viz,https://github.com/SauceCat/PDPbox,https://github.com/SauceCat/PDPbox,MIT,2017-06-26 08:01:54.000000,2021-06-24 15:32:01.000000,2021-03-14 16:01:01.000000,103,20.0,38.0,628.0,227.0,python partial dependence plot toolbox.,7.0,22,True,2021-03-14 16:21:17.000000,0.2.1,3.0,pdpbox,conda-forge/pdpbox,,,50620.0,490.0,456.0,https://pypi.org/project/pdpbox,2021-03-14 16:21:17.000000,34.0,50269.0,https://anaconda.org/conda-forge/pdpbox,2021-03-14 19:37:51.465000,10201.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n527,iterative-stratification,trent-b/iterative-stratification,,sklearn-utils,https://github.com/trent-b/iterative-stratification,https://github.com/trent-b/iterative-stratification,BSD-3-Clause,2018-02-04 00:32:10.000000,2021-11-11 01:20:14.000000,2021-11-11 01:20:14.000000,56,4.0,15.0,613.0,55.0,scikit-learn cross validators for iterative stratification of multilabel data.,6.0,22,True,2021-10-03 18:49:49.000000,0.1.7,6.0,iterative-stratification,,['sklearn'],,57717.0,190.0,176.0,https://pypi.org/project/iterative-stratification,2021-10-03 18:49:49.000000,14.0,57717.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n528,Mapbox GL,mapbox/mapboxgl-jupyter,,geospatial-data,https://github.com/mapbox/mapboxgl-jupyter,https://github.com/mapbox/mapboxgl-jupyter,MIT,2017-08-08 15:10:51.000000,2021-10-11 17:16:45.000000,2021-04-19 05:00:36.000000,122,35.0,67.0,591.0,221.0,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,21.0,22,True,2019-06-03 21:24:10.000000,0.10.2,20.0,mapboxgl,,['jupyter'],,7271.0,140.0,122.0,https://pypi.org/project/mapboxgl,2019-06-02 15:18:57.000000,18.0,7271.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n529,AutoViz,AutoViML/AutoViz,,data-viz,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06.000000,2021-11-19 13:59:19.000000,2021-11-19 13:59:19.000000,88,6.0,34.0,554.0,109.0,\"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..\",11.0,22,True,2021-11-19 03:37:51.000000,0.1.23,35.0,autoviz,,,,12291.0,118.0,118.0,https://pypi.org/project/autoviz,2021-11-19 03:37:51.000000,0.0,12291.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n530,combo,yzhao062/combo,,sklearn-utils,https://github.com/yzhao062/combo,https://github.com/yzhao062/combo,BSD-2-Clause,2019-07-14 01:13:36.000000,2021-10-02 13:57:54.000000,2021-10-02 13:57:52.000000,92,9.0,3.0,554.0,207.0,(AAAI' 20) A Python Toolbox for Machine Learning Model Combination.,1.0,22,True,2020-12-23 02:21:49.000000,0.1.2,12.0,combo,,\"['sklearn', 'xgboost']\",,31848.0,432.0,432.0,https://pypi.org/project/combo,2020-12-23 02:21:49.000000,0.0,31848.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n531,PyTorch Sparse,rusty1s/pytorch_sparse,,pytorch-utils,https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53.000000,2021-11-13 22:13:04.000000,2021-11-13 22:13:02.000000,68,60.0,129.0,534.0,650.0,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,17.0,22,True,2021-09-08 09:32:15.000000,0.6.12,24.0,torch-sparse,,['pytorch'],,15086.0,34.0,,https://pypi.org/project/torch-sparse,2021-09-08 09:27:37.000000,34.0,15086.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n532,tinytag,devsnd/tinytag,,audio,https://github.com/devsnd/tinytag,https://github.com/devsnd/tinytag,MIT,2014-01-27 15:27:01.000000,2021-09-08 21:50:14.000000,2021-08-28 19:33:41.000000,84,15.0,69.0,493.0,329.0,\"Read music meta data and length of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA and Wave files with python 2 or 3.\",20.0,22,True,2021-08-28 19:37:31.000000,1.6.0,34.0,tinytag,,,,7202.0,539.0,443.0,https://pypi.org/project/tinytag,2021-08-28 19:37:31.000000,96.0,7202.0,,,,3.0,,,,,,,-2.0,,,,,,,,,,,,,,,,,,,\n533,pySBD,nipunsadvilkar/pySBD,,nlp,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20.000000,2021-04-25 08:42:15.000000,2021-02-11 16:40:18.000000,42,12.0,48.0,386.0,279.0,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,6.0,22,True,2021-02-11 16:42:37.000000,0.3.4,15.0,pysbd,,,,24627.0,253.0,249.0,https://pypi.org/project/pysbd,2021-02-11 16:36:33.000000,4.0,24627.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n534,GeoViews,holoviz/geoviews,,geospatial-data,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000000,2021-12-01 14:45:08.000000,2021-12-01 14:42:28.000000,68,103.0,187.0,374.0,670.0,\"Simple, concise geographical visualization in Python.\",25.0,22,True,2021-09-30 16:31:39.000000,1.9.2,29.0,geoviews,conda-forge/geoviews,,,7455.0,20.0,,https://pypi.org/project/geoviews,2021-09-29 14:36:26.000000,20.0,5542.0,https://anaconda.org/conda-forge/geoviews,2021-09-29 18:42:51.694000,86117.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n535,Pandas Summary,mouradmourafiq/pandas-summary,,data-containers,https://github.com/polyaxon/datatile,https://github.com/polyaxon/datatile,Apache-2.0,2016-03-25 21:59:32.000000,2021-11-26 12:52:07.000000,2021-11-26 12:51:53.000000,36,7.0,6.0,372.0,25.0,\"A library for managing, validating, summarizing, and visualizing data.\",6.0,22,True,2021-11-25 22:52:42.000000,0.2.0,10.0,pandas-summary,,['pandas'],,29765.0,90.0,,https://pypi.org/project/pandas-summary,2021-11-25 22:52:42.000000,90.0,29765.0,,,,3.0,,,,,,,,,,,,,,,,polyaxon/datatile,,,,,,,,,,\n536,MXBoard,awslabs/mxboard,,ml-experiments,https://github.com/awslabs/mxboard,https://github.com/awslabs/mxboard,Apache-2.0,2018-02-06 23:03:51.000000,2021-11-30 10:46:24.000000,2020-01-24 23:21:55.000000,47,16.0,15.0,333.0,42.0,Logging MXNet data for visualization in TensorBoard.,9.0,22,False,2018-05-22 20:25:51.000000,0.1.0,12.0,mxboard,,['mxnet'],,92609.0,136.0,124.0,https://pypi.org/project/mxboard,2018-05-22 20:25:51.000000,12.0,92609.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n537,Hyperactive,SimonBlanke/Hyperactive,,hyperopt,https://github.com/SimonBlanke/Hyperactive,https://github.com/SimonBlanke/Hyperactive,MIT,2018-11-01 08:53:30.000000,2021-12-02 12:30:48.000000,2021-12-02 12:23:01.000000,31,7.0,32.0,322.0,2046.0,An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.,4.0,22,True,2021-12-02 12:30:48.000000,4.0.1,62.0,hyperactive,,,97.0,1481.0,10.0,10.0,https://pypi.org/project/hyperactive,2021-12-02 12:30:48.000000,0.0,1478.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n538,vega,vega/ipyvega,,data-viz,https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000000,2021-12-02 08:13:41.000000,2021-12-02 08:13:40.000000,51,14.0,81.0,315.0,541.0,IPython/Jupyter notebook module for Vega and Vega-Lite.,10.0,22,True,2021-06-03 20:52:09.000000,3.5.0,38.0,vega,conda-forge/vega,['jupyter'],,24128.0,148.0,,https://pypi.org/project/vega,2021-06-03 20:52:09.000000,148.0,17059.0,https://anaconda.org/conda-forge/vega,2021-11-18 16:21:37.805000,466606.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n539,NIPY,nipy/nipy,,medical-data,https://github.com/nipy/nipy,https://github.com/nipy/nipy,BSD-3-Clause,2010-05-02 10:00:33.000000,2021-06-20 21:19:21.000000,2021-03-29 16:56:48.000000,130,45.0,111.0,310.0,6427.0,Neuroimaging in Python FMRI analysis package.,63.0,22,True,2018-02-19 14:14:08.000000,0.4.2,6.0,nipy,conda-forge/nipy,,,3063.0,82.0,,https://pypi.org/project/nipy,2018-02-19 14:14:08.000000,82.0,1385.0,https://anaconda.org/conda-forge/nipy,2020-05-04 19:38:04.112000,88945.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n540,SUOD,yzhao062/SUOD,,others,https://github.com/yzhao062/SUOD,https://github.com/yzhao062/SUOD,BSD-2-Clause,2019-11-20 00:23:54.000000,2021-10-02 14:00:14.000000,2021-10-02 14:00:01.000000,35,4.0,2.0,298.0,144.0,(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection).,1.0,22,False,2021-10-01 18:05:35.000000,0.0.8,9.0,suod,,,,20802.0,400.0,400.0,https://pypi.org/project/suod,2021-10-01 18:05:35.000000,,20802.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n541,lazypredict,shankarpandala/lazypredict,,hyperopt,https://github.com/shankarpandala/lazypredict,https://github.com/shankarpandala/lazypredict,MIT,2019-11-16 09:56:35.000000,2021-10-18 15:23:13.000000,2021-10-18 15:23:12.000000,35,29.0,30.0,261.0,195.0,Lazy Predict help build a lot of basic models without much code and helps understand which models works better without..,16.0,22,False,2021-02-17 15:38:45.000000,0.2.9,11.0,lazypredict,,['sklearn'],,4704.0,200.0,200.0,https://pypi.org/project/lazypredict,2021-02-17 15:38:45.000000,,4704.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n542,StaticFrame,InvestmentSystems/static-frame,,data-containers,https://github.com/InvestmentSystems/static-frame,https://github.com/InvestmentSystems/static-frame,MIT,2018-01-03 15:07:52.000000,2021-12-01 23:47:44.000000,2021-12-01 23:47:37.000000,23,36.0,318.0,255.0,3298.0,Immutable and grow-only Pandas-like DataFrames with a more explicit and consistent interface.,16.0,22,False,2021-12-01 17:49:53.000000,0.8.31,130.0,static-frame,conda-forge/static-frame,,,4948.0,10.0,10.0,https://pypi.org/project/static-frame,2021-12-01 17:48:13.000000,0.0,1193.0,https://anaconda.org/conda-forge/static-frame,2021-12-01 20:00:21.054000,127686.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n543,stop-words,Alir3z4/python-stop-words,,nlp,https://github.com/Alir3z4/python-stop-words,https://github.com/Alir3z4/python-stop-words,BSD-3-Clause,2014-05-26 06:44:03.000000,2019-10-16 15:01:43.000000,2018-07-23 21:04:09.000000,24,3.0,9.0,133.0,90.0,Get list of common stop words in various languages in Python.,8.0,22,False,2018-07-23 20:58:34.000000,2018.7.23,8.0,stop-words,,,,156653.0,1621.0,1363.0,https://pypi.org/project/stop-words,2018-07-23 20:55:55.000000,258.0,156653.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n544,Qlib,microsoft/qlib,,financial-data,https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000000,2021-12-02 14:04:48.000000,2021-11-28 05:44:49.000000,1170,108.0,245.0,7409.0,,\"Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research,..\",70.0,21,True,2021-09-30 19:00:18.000000,0.8.0a1,20.0,pyqlib,,['pytorch'],268.0,3489.0,7.0,7.0,https://pypi.org/project/pyqlib,2021-09-30 19:01:16.000000,,3472.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n545,PyTorch3D,facebookresearch/pytorch3d,,image,https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,,2019-10-25 02:23:45.000000,2021-11-29 15:01:31.000000,2021-11-29 15:01:28.000000,739,63.0,756.0,5428.0,,PyTorch3D is FAIR's library of reusable components for deep learning with 3D data.,75.0,21,False,2021-10-06 13:00:09.000000,0.6.0,9.0,pytorch3d,pytorch3d/pytorch3d,['pytorch'],,7293.0,128.0,128.0,https://pypi.org/project/pytorch3d,2021-08-05 14:36:30.000000,0.0,6281.0,https://anaconda.org/pytorch3d/pytorch3d,2021-10-06 12:54:50.207000,25310.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n546,AugLy,facebookresearch/AugLy,,others,https://github.com/facebookresearch/AugLy,https://github.com/facebookresearch/AugLy,MIT,2021-06-09 17:57:28.000000,2021-12-01 19:10:58.000000,2021-12-01 11:26:21.000000,205,20.0,39.0,4007.0,,\"A data augmentations library for audio, image, text, and video.\",13.0,21,True,2021-10-18 20:48:05.000000,0.1.10,15.0,augly,,,,1257.0,19.0,19.0,https://pypi.org/project/augly,2021-10-18 18:20:59.000000,0.0,1257.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n547,DeepMatcher,anhaidgroup/deepmatcher,,nlp,https://github.com/anhaidgroup/deepmatcher,https://github.com/anhaidgroup/deepmatcher,BSD-3-Clause,2017-12-01 19:01:11.000000,2021-06-13 01:13:43.000000,2021-06-13 00:22:13.000000,1461,54.0,22.0,3910.0,176.0,Python package for performing Entity and Text Matching using Deep Learning.,7.0,21,True,2021-05-27 22:28:29.000000,0.1.2,13.0,deepmatcher,,,,527.0,14.0,14.0,https://pypi.org/project/deepmatcher,2021-06-13 01:13:24.000000,,527.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n548,FATE,FederatedAI/FATE,,privacy-ml,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000000,2021-12-02 12:04:40.000000,2021-12-02 06:12:09.000000,1085,347.0,650.0,3715.0,9666.0,An Industrial Grade Federated Learning Framework.,66.0,21,True,2021-11-24 09:37:50.000000,1.7.0,29.0,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n549,NeMo,NVIDIA/NeMo,,nlp,https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000000,2021-12-02 13:52:22.000000,2021-12-01 20:59:23.000000,767,66.0,813.0,3616.0,,NeMo: a toolkit for conversational AI.,118.0,21,True,2021-11-20 01:55:45.000000,1.5.0,44.0,nemo-toolkit,,['pytorch'],15207.0,4731.0,4.0,,https://pypi.org/project/nemo-toolkit,2021-11-19 23:46:21.000000,4.0,4168.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n550,MatchZoo,NTMC-Community/MatchZoo,,nlp,https://github.com/NTMC-Community/MatchZoo,https://github.com/NTMC-Community/MatchZoo,Apache-2.0,2017-06-08 08:55:22.000000,2021-06-03 02:58:49.000000,2021-06-02 17:38:16.000000,908,28.0,429.0,3556.0,1810.0,\"Facilitating the design, comparison and sharing of deep text matching models.\",36.0,21,True,2019-10-24 13:09:11.000000,2.2.0,5.0,matchzoo,,['tensorflow'],,137.0,10.0,10.0,https://pypi.org/project/matchzoo,2019-10-24 13:09:11.000000,,137.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n551,TensorWatch,microsoft/tensorwatch,,ml-experiments,https://github.com/microsoft/tensorwatch,https://github.com/microsoft/tensorwatch,MIT,2019-05-15 08:29:34.000000,2021-04-13 09:44:02.000000,2021-01-15 19:46:05.000000,336,50.0,15.0,3184.0,112.0,\"Debugging, monitoring and visualization for Python Machine Learning and Data Science.\",13.0,21,True,2020-03-04 07:26:22.000000,0.9.1,14.0,tensorwatch,,,,6256.0,70.0,64.0,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22.000000,6.0,6256.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n552,gpt-2-simple,minimaxir/gpt-2-simple,,nlp,https://github.com/minimaxir/gpt-2-simple,https://github.com/minimaxir/gpt-2-simple,MIT,2019-04-13 20:00:52.000000,2021-10-18 02:38:38.000000,2021-10-18 01:45:21.000000,591,151.0,93.0,2825.0,143.0,Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts.,18.0,21,True,2021-10-18 02:38:39.000000,0.8.1,18.0,gpt-2-simple,,['tensorflow'],279.0,5785.0,6.0,,https://pypi.org/project/gpt-2-simple,2021-10-18 01:47:20.000000,6.0,5777.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n553,Texthero,jbesomi/texthero,,nlp,https://github.com/jbesomi/texthero,https://github.com/jbesomi/texthero,MIT,2020-04-06 15:16:05.000000,2021-07-19 13:56:08.000000,2021-07-19 13:56:08.000000,204,76.0,59.0,2396.0,269.0,\"Text preprocessing, representation and visualization from zero to hero.\",18.0,21,True,2021-07-01 17:11:02.000000,1.1.0,10.0,texthero,,,87.0,12129.0,0.0,,https://pypi.org/project/texthero,2021-07-01 17:11:02.000000,0.0,12125.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n554,DeepVariant,google/deepvariant,,medical-data,https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000000,2021-10-27 20:48:21.000000,2021-10-27 20:47:25.000000,574,4.0,442.0,2384.0,1746.0,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,20.0,21,True,2021-07-29 16:59:05.000000,1.2.0,16.0,,bioconda/deepvariant,['tensorflow'],3585.0,830.0,,,,,,,https://anaconda.org/bioconda/deepvariant,2021-07-30 23:35:30.579000,35535.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n555,PARL,PaddlePaddle/PARL,,reinforcement-learning,https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22.000000,2021-12-02 10:14:52.000000,2021-12-02 10:13:22.000000,590,58.0,219.0,2328.0,1.0,A high-performance distributed training framework for Reinforcement Learning.,28.0,21,True,2021-07-08 13:09:56.000000,2.0.2,22.0,parl,,['paddle'],,536.0,83.0,83.0,https://pypi.org/project/parl,2021-07-08 13:09:56.000000,,536.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n556,Texar,asyml/texar,,nlp,https://github.com/asyml/texar,https://github.com/asyml/texar,Apache-2.0,2017-07-22 19:02:05.000000,2021-08-26 09:49:50.000000,2020-07-29 00:38:30.000000,356,33.0,126.0,2227.0,1719.0,\"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the..\",43.0,21,False,2019-11-19 04:11:18.000000,0.2.4,6.0,texar,,['tensorflow'],,56.0,19.0,17.0,https://pypi.org/project/texar,2019-11-19 04:11:18.000000,2.0,56.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n557,Sweetviz,fbdesignpro/sweetviz,,data-viz,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47.000000,2021-10-01 14:11:39.000000,2021-07-08 14:31:20.000000,182,27.0,69.0,1826.0,102.0,\"Visualize and compare datasets, target values and associations, with one line of code.\",6.0,21,True,2021-07-08 14:32:09.000000,2.1.3,31.0,sweetviz,,,,40623.0,0.0,,https://pypi.org/project/sweetviz,2021-07-08 14:32:09.000000,0.0,40623.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n558,Neural Tangents,google/neural-tangents,,ml-frameworks,https://github.com/google/neural-tangents,https://github.com/google/neural-tangents,Apache-2.0,2019-04-08 16:48:48.000000,2021-11-18 18:42:10.000000,2021-11-18 18:42:05.000000,182,31.0,71.0,1608.0,,Fast and Easy Infinite Neural Networks in Python.,21.0,21,True,2021-11-17 06:35:11.000000,0.3.9,23.0,neural-tangents,,,183.0,448.0,26.0,26.0,https://pypi.org/project/neural-tangents,2021-11-17 06:30:38.000000,0.0,438.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n559,hiddenlayer,waleedka/hiddenlayer,,ml-experiments,https://github.com/waleedka/hiddenlayer,https://github.com/waleedka/hiddenlayer,MIT,2018-05-18 22:34:51.000000,2021-10-16 05:29:37.000000,2020-04-24 06:58:09.000000,217,46.0,34.0,1554.0,58.0,\"Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.\",6.0,21,False,2018-12-03 04:33:29.000000,0.2,3.0,hiddenlayer,,\"['pytorch', 'tensorflow', 'jupyter']\",,1426.0,94.0,86.0,https://pypi.org/project/hiddenlayer,2020-04-24 07:32:11.000000,8.0,1426.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n560,lore,instacart/lore,,ml-experiments,https://github.com/instacart/lore,https://github.com/instacart/lore,MIT,2017-10-19 21:51:45.000000,2021-11-22 20:05:31.000000,2020-05-11 22:26:45.000000,122,16.0,18.0,1534.0,270.0,Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers.,22.0,21,False,2020-05-11 22:28:23.000000,0.8.4,231.0,lore,,,,578.0,17.0,16.0,https://pypi.org/project/lore,2020-05-11 22:28:23.000000,1.0,578.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n561,TabNet,dreamquark-ai/tabnet,,pytorch-utils,https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000000,2021-11-12 19:33:57.000000,2021-11-12 19:32:28.000000,285,40.0,158.0,1430.0,168.0,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,18.0,21,True,2021-02-02 08:05:11.000000,3.1.1,17.0,pytorch-tabnet,,['pytorch'],,25480.0,0.0,,https://pypi.org/project/pytorch-tabnet,2021-02-02 08:05:11.000000,0.0,25480.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n562,FARM,deepset-ai/FARM,,nlp,https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12.000000,2021-11-23 16:56:58.000000,2021-11-23 16:56:58.000000,209,38.0,379.0,1418.0,592.0,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,36.0,21,True,2021-06-10 09:45:12.000000,0.8.0,24.0,farm,,['pytorch'],,4651.0,2.0,,https://pypi.org/project/farm,2021-06-10 09:41:53.000000,2.0,4651.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n563,jiant,nyu-mll/jiant,,nlp,https://github.com/nyu-mll/jiant,https://github.com/nyu-mll/jiant,MIT,2018-06-18 18:12:47.000000,2021-10-17 21:26:07.000000,2021-10-17 21:25:23.000000,261,62.0,484.0,1352.0,1921.0,jiant is an nlp toolkit.,56.0,21,True,2021-05-10 18:56:39.000000,2.2.0,19.0,jiant,,,,211.0,2.0,2.0,https://pypi.org/project/jiant,2021-05-10 18:56:39.000000,,211.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n564,NiftyNet,NifTK/NiftyNet,,medical-data,https://github.com/NifTK/NiftyNet,https://github.com/NifTK/NiftyNet,Apache-2.0,2017-08-30 07:55:43.000000,2020-04-21 19:54:52.000000,2020-04-21 19:54:51.000000,387,102.0,224.0,1291.0,2848.0,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,58.0,21,False,2019-10-10 10:59:33.000000,0.6.0,11.0,niftynet,,['tensorflow'],,102.0,38.0,37.0,https://pypi.org/project/niftynet,2019-10-10 10:59:33.000000,1.0,102.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n565,Pypeline,cgarciae/pypeln,,data-pipelines,https://github.com/cgarciae/pypeln,https://github.com/cgarciae/pypeln,MIT,2018-09-01 13:43:31.000000,2021-05-01 11:58:40.000000,2021-04-13 00:55:39.000000,74,14.0,38.0,1286.0,235.0,Concurrent data pipelines in Python .,10.0,21,True,2021-01-05 18:00:06.000000,0.4.7,34.0,pypeln,,,,10510.0,10.0,,https://pypi.org/project/pypeln,2021-01-05 18:00:06.000000,10.0,10510.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n566,Higher,facebookresearch/higher,,pytorch-utils,https://github.com/facebookresearch/higher,https://github.com/facebookresearch/higher,Apache-2.0,2019-09-06 18:58:36.000000,2021-11-30 14:53:11.000000,2021-10-26 07:08:33.000000,93,44.0,50.0,1282.0,,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,9.0,21,True,2020-07-14 12:20:32.000000,0.2.1,2.0,higher,,['pytorch'],,44536.0,100.0,100.0,https://pypi.org/project/higher,2020-07-14 12:20:32.000000,0.0,44536.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n567,MLBox,AxeldeRomblay/MLBox,,hyperopt,https://github.com/AxeldeRomblay/MLBox,https://github.com/AxeldeRomblay/MLBox,BSD-1-Clause,2017-06-01 16:59:24.000000,2021-08-25 15:38:03.000000,2020-08-25 09:26:27.000000,259,15.0,74.0,1263.0,1121.0,MLBox is a powerful Automated Machine Learning python library.,9.0,21,False,2020-08-25 09:32:37.000000,0.8.5,21.0,mlbox,,,,1258.0,28.0,28.0,https://pypi.org/project/mlbox,2020-08-25 09:32:37.000000,,1258.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n568,Paddle Graph Learning,PaddlePaddle/PGL,,graph,https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28.000000,2021-12-02 08:41:37.000000,2021-12-02 08:41:37.000000,182,39.0,61.0,1154.0,,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,21.0,21,True,2021-07-10 15:12:05.000000,2.1.5,13.0,pgl,,['paddle'],,471.0,23.0,21.0,https://pypi.org/project/pgl,2021-07-10 15:12:05.000000,2.0,471.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n569,fairlearn,fairlearn/fairlearn,,interpretability,https://github.com/fairlearn/fairlearn,https://github.com/fairlearn/fairlearn,MIT,2018-05-15 01:51:35.000000,2021-12-01 09:35:07.000000,2021-11-29 01:35:25.000000,263,134.0,198.0,1131.0,,A Python package to assess and improve fairness of machine learning models.,60.0,21,True,2021-07-07 08:16:09.000000,0.7.0,16.0,fairlearn,conda-forge/fairlearn,['sklearn'],,22084.0,2.0,,https://pypi.org/project/fairlearn,2021-07-07 05:54:23.000000,2.0,21347.0,https://anaconda.org/conda-forge/fairlearn,2021-07-07 15:56:16.605000,16231.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n570,TaskTiger,closeio/tasktiger,,data-pipelines,https://github.com/closeio/tasktiger,https://github.com/closeio/tasktiger,MIT,2015-05-14 00:26:32.000000,2021-12-02 10:05:43.000000,2021-12-02 10:05:39.000000,59,36.0,35.0,1099.0,272.0,Python task queue using Redis.,24.0,21,True,2021-04-21 06:15:46.000000,0.15,25.0,tasktiger,,,,1524.0,39.0,21.0,https://pypi.org/project/tasktiger,2021-04-16 07:36:13.000000,18.0,1524.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n571,SciSpacy,allenai/scispacy,,nlp,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52.000000,2021-09-08 22:25:11.000000,2021-07-15 18:43:58.000000,142,35.0,194.0,1055.0,,A full spaCy pipeline and models for scientific/biomedical documents.,21.0,21,True,2021-02-12 22:56:06.000000,0.4.0,10.0,scispacy,,,,16433.0,373.0,361.0,https://pypi.org/project/scispacy,2021-02-12 22:56:06.000000,12.0,16433.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n572,Explainability 360,Trusted-AI/AIX360,,interpretability,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48.000000,2021-10-12 06:36:29.000000,2021-10-12 06:35:26.000000,209,38.0,25.0,997.0,316.0,Interpretability and explainability of data and machine learning models.,29.0,21,True,2020-10-28 09:32:21.000000,0.2.1,4.0,aix360,,,,827.0,36.0,35.0,https://pypi.org/project/aix360,2020-10-28 09:18:17.000000,1.0,827.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n573,luminol,linkedin/luminol,,time-series-data,https://github.com/linkedin/luminol,https://github.com/linkedin/luminol,Apache-2.0,2015-11-18 23:16:33.000000,2020-12-27 09:54:35.000000,2018-01-09 07:46:55.000000,193,31.0,12.0,980.0,69.0,Anomaly Detection and Correlation library.,8.0,21,False,2016-01-20 01:01:44.000000,0.3.1,5.0,luminol,,,,31169.0,75.0,47.0,https://pypi.org/project/luminol,2017-12-11 06:04:15.000000,28.0,31169.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n574,TFEncrypted,tf-encrypted/tf-encrypted,,privacy-ml,https://github.com/tf-encrypted/tf-encrypted,https://github.com/tf-encrypted/tf-encrypted,Apache-2.0,2018-03-21 18:22:13.000000,2021-04-21 08:39:31.000000,2020-08-19 16:56:56.000000,170,173.0,235.0,961.0,595.0,A Framework for Encrypted Machine Learning in TensorFlow.,28.0,21,False,2019-09-27 20:00:01.000000,0.5.9,35.0,tf-encrypted,,['tensorflow'],,477.0,74.0,58.0,https://pypi.org/project/tf-encrypted,2019-10-21 18:05:53.000000,16.0,477.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n575,keras-ocr,faustomorales/keras-ocr,,ocr,https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50.000000,2021-11-24 10:16:01.000000,2021-11-24 10:01:11.000000,239,46.0,104.0,945.0,184.0,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,12.0,21,True,2021-11-24 10:05:08.000000,0.8.9,29.0,keras-ocr,,['tensorflow'],190030.0,16694.0,2.0,,https://pypi.org/project/keras-ocr,2021-11-24 10:05:08.000000,2.0,4026.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n576,geoplotlib,andrea-cuttone/geoplotlib,,geospatial-data,https://github.com/andrea-cuttone/geoplotlib,https://github.com/andrea-cuttone/geoplotlib,MIT,2015-02-24 13:13:07.000000,2021-10-20 12:00:24.000000,2019-05-06 07:06:50.000000,155,30.0,18.0,939.0,159.0,python toolbox for visualizing geographical data and making maps.,8.0,21,False,2016-07-27 14:55:01.000000,0.3.2,4.0,geoplotlib,,,,993.0,133.0,122.0,https://pypi.org/project/geoplotlib,2016-07-27 14:55:01.000000,11.0,993.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n577,attention-ocr,emedvedev/attention-ocr,,ocr,https://github.com/emedvedev/attention-ocr,https://github.com/emedvedev/attention-ocr,MIT,2017-07-21 18:35:19.000000,2021-10-29 14:44:11.000000,2021-10-29 14:44:08.000000,239,22.0,126.0,880.0,205.0,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,27.0,21,True,2020-10-12 06:56:40.000000,0.7.6,21.0,aocr,,['tensorflow'],,287.0,18.0,18.0,https://pypi.org/project/aocr,2019-04-19 05:28:27.000000,,287.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n578,nude.py,hhatto/nude.py,,image,https://github.com/hhatto/nude.py,https://github.com/hhatto/nude.py,MIT,2013-06-09 06:55:55.000000,2020-11-23 13:49:32.000000,2020-11-23 13:49:02.000000,132,7.0,3.0,825.0,79.0,Nudity detection with Python.,12.0,21,False,2020-11-23 13:49:17.000000,0.5.1,10.0,nudepy,,,,5324.0,1286.0,1268.0,https://pypi.org/project/nudepy,2020-11-23 13:49:17.000000,18.0,5324.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n579,Satpy,pytroll/satpy,,geospatial-data,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000000,2021-12-02 14:35:24.000000,2021-12-01 13:06:54.000000,224,359.0,413.0,773.0,,Python package for earth-observing satellite data processing.,120.0,21,False,2021-12-01 13:09:19.000000,0.32.0,72.0,satpy,conda-forge/satpy,,,4623.0,58.0,52.0,https://pypi.org/project/satpy,2021-12-01 13:09:19.000000,6.0,2706.0,https://anaconda.org/conda-forge/satpy,2021-12-01 15:27:08.136000,78632.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n580,PFRL,pfnet/pfrl,,reinforcement-learning,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50.000000,2021-11-12 09:06:18.000000,2021-09-07 23:59:43.000000,97,27.0,33.0,742.0,386.0,PFRL: a PyTorch-based deep reinforcement learning library.,15.0,21,True,2021-07-07 02:43:23.000000,0.3.0,5.0,pfrl,,,,2079.0,27.0,27.0,https://pypi.org/project/pfrl,2021-07-07 02:48:20.000000,0.0,2079.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n581,scikit-lego,koaning/scikit-lego,,sklearn-utils,https://github.com/koaning/scikit-lego,https://github.com/koaning/scikit-lego,MIT,2019-01-21 15:30:15.000000,2021-11-30 09:08:07.000000,2021-11-30 09:08:05.000000,74,32.0,200.0,649.0,,Extra blocks for scikit-learn pipelines.,47.0,21,True,2021-07-03 12:36:43.000000,0.6.8,34.0,scikit-lego,conda-forge/scikit-lego,['sklearn'],,20060.0,38.0,38.0,https://pypi.org/project/scikit-lego,2021-07-03 12:38:43.000000,0.0,19441.0,https://anaconda.org/conda-forge/scikit-lego,2021-07-03 14:39:23.330000,16103.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n582,pdpipe,pdpipe/pdpipe,,data-pipelines,https://github.com/pdpipe/pdpipe,https://github.com/pdpipe/pdpipe,MIT,2017-01-24 20:37:22.000000,2021-11-30 17:09:41.000000,2021-11-30 17:09:41.000000,30,15.0,22.0,628.0,366.0,Easy pipelines for pandas DataFrames.,9.0,21,True,2021-11-15 15:25:17.000000,0.0.67,63.0,pdpipe,,['pandas'],,1831.0,38.0,38.0,https://pypi.org/project/pdpipe,2021-11-15 15:24:31.000000,0.0,1831.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n583,TensorBoard Logger,TeamHG-Memex/tensorboard_logger,,ml-experiments,https://github.com/TeamHG-Memex/tensorboard_logger,https://github.com/TeamHG-Memex/tensorboard_logger,MIT,2016-10-27 14:02:25.000000,2021-11-15 17:46:29.000000,2019-10-21 07:52:07.000000,51,11.0,15.0,619.0,46.0,Log TensorBoard events without touching TensorFlow.,5.0,21,False,2018-02-08 07:28:51.000000,0.1.0,5.0,tensorboard_logger,,,,31591.0,96.0,,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51.000000,96.0,31591.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n584,nnAudio,KinWaiCheuk/nnAudio,,audio,https://github.com/KinWaiCheuk/nnAudio,https://github.com/KinWaiCheuk/nnAudio,MIT,2019-09-02 04:31:14.000000,2021-11-29 16:13:23.000000,2021-11-19 13:34:56.000000,61,11.0,36.0,604.0,275.0,Audio processing by using pytorch 1D convolution network.,13.0,21,True,2021-11-19 13:09:35.000000,0.3.0,37.0,nnAudio,,,,1534.0,37.0,37.0,https://pypi.org/project/nnAudio,2021-11-19 13:09:35.000000,0.0,1534.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n585,HpBandSter,automl/HpBandSter,,hyperopt,https://github.com/automl/HpBandSter,https://github.com/automl/HpBandSter,BSD-3-Clause,2017-12-17 20:28:20.000000,2021-01-31 10:05:37.000000,2019-03-26 09:26:28.000000,107,57.0,35.0,502.0,187.0,a distributed Hyperband implementation on Steroids.,11.0,21,False,2019-07-30 12:47:43.000000,1.0,8.0,hpbandster,,,,28243.0,200.0,184.0,https://pypi.org/project/hpbandster,2018-11-06 12:56:55.000000,16.0,28243.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n586,Neuraxle,Neuraxio/Neuraxle,,hyperopt,https://github.com/Neuraxio/Neuraxle,https://github.com/Neuraxio/Neuraxle,Apache-2.0,2019-03-26 21:01:54.000000,2021-12-01 20:47:13.000000,2021-11-01 21:10:39.000000,52,142.0,181.0,484.0,1593.0,A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right..,7.0,21,True,2021-10-17 21:12:29.000000,0.6.1,22.0,neuraxle,,,,187.0,24.0,24.0,https://pypi.org/project/neuraxle,2021-10-17 21:07:02.000000,0.0,187.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n587,random-forest-importances,parrt/random-forest-importances,,interpretability,https://github.com/parrt/random-forest-importances,https://github.com/parrt/random-forest-importances,MIT,2018-03-22 19:20:13.000000,2021-01-30 21:50:08.000000,2021-01-30 21:50:02.000000,107,6.0,28.0,483.0,249.0,Code to compute permutation and drop-column importances in Python scikit-learn models.,14.0,21,True,2021-01-28 23:23:17.000000,1.3.7,22.0,rfpimp,,['sklearn'],,12942.0,90.0,86.0,https://pypi.org/project/rfpimp,2021-01-28 23:19:33.000000,4.0,12942.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n588,PyWaffle,gyli/PyWaffle,,data-viz,https://github.com/gyli/PyWaffle,https://github.com/gyli/PyWaffle,MIT,2017-11-14 20:03:47.000000,2021-09-29 23:50:34.000000,2021-07-28 14:49:15.000000,78,3.0,11.0,460.0,254.0,Make Waffle Charts in Python.,6.0,21,True,2021-07-28 01:11:09.000000,0.6.3,24.0,pywaffle,,,,1567.0,98.0,98.0,https://pypi.org/project/pywaffle,2021-07-28 01:11:09.000000,0.0,1567.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n589,pivottablejs,nicolaskruchten/jupyter_pivottablejs,,data-viz,https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,MIT,2015-09-09 13:39:18.000000,2018-12-04 14:43:26.000000,2018-12-04 14:43:25.000000,60,17.0,39.0,451.0,32.0,\"Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js.\",3.0,21,False,2018-01-15 18:14:37.000000,0.9.0,10.0,pivottablejs,,['jupyter'],,11965.0,239.0,205.0,https://pypi.org/project/pivottablejs,2018-01-15 18:14:37.000000,34.0,11965.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n590,torch-cluster,rusty1s/pytorch_cluster,,graph,https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06.000000,2021-11-13 22:11:52.000000,2021-11-13 22:11:50.000000,82,37.0,81.0,446.0,561.0,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,19.0,21,True,2021-03-01 13:58:47.000000,1.5.9,39.0,torch-cluster,,['pytorch'],,8482.0,32.0,,https://pypi.org/project/torch-cluster,2021-03-01 12:28:43.000000,32.0,8482.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n591,optunity,claesenm/optunity,,hyperopt,https://github.com/claesenm/optunity,https://github.com/claesenm/optunity,BSD-3-Clause,2014-05-28 17:29:11.000000,2020-05-11 14:32:39.000000,2020-05-11 14:32:38.000000,73,47.0,48.0,378.0,782.0,optimization routines for hyperparameter tuning.,9.0,21,False,2015-09-30 05:02:00.000000,1.1.1,6.0,optunity,,,67.0,11590.0,92.0,68.0,https://pypi.org/project/optunity,2015-09-30 05:02:00.000000,24.0,11590.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n592,EarthPy,earthlab/earthpy,,geospatial-data,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000000,2021-12-01 01:34:26.000000,2021-10-11 19:46:23.000000,123,16.0,207.0,302.0,,A package built to support working with spatial data using open source python.,40.0,21,True,2021-10-01 22:51:04.000000,0.9.4,23.0,earthpy,conda-forge/earthpy,,,4912.0,118.0,112.0,https://pypi.org/project/earthpy,2021-10-01 22:51:04.000000,6.0,3681.0,https://anaconda.org/conda-forge/earthpy,2021-10-04 19:35:49.510000,39423.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n593,impyute,eltonlaw/impyute,,others,https://github.com/eltonlaw/impyute,https://github.com/eltonlaw/impyute,MIT,2017-01-21 09:16:27.000000,2021-11-06 21:15:04.000000,2021-11-06 21:15:04.000000,43,27.0,37.0,299.0,292.0,Data imputations library to preprocess datasets with missing data.,11.0,21,False,2019-04-29 02:31:32.000000,0.0.8,8.0,impyute,,,,1897.0,124.0,120.0,https://pypi.org/project/impyute,2019-04-29 02:31:32.000000,4.0,1897.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n594,huggingface_hub,huggingface/huggingface_hub,,model-serialisation,https://github.com/huggingface/huggingface_hub,https://github.com/huggingface/huggingface_hub,Apache-2.0,2020-12-22 10:20:28.000000,2021-12-02 12:37:57.000000,2021-12-01 17:38:43.000000,58,87.0,82.0,284.0,,All the open source things related to the Hugging Face Hub.,46.0,21,False,2021-12-01 17:39:20.000000,0.2.0,23.0,huggingface_hub,conda-forge/huggingface_hub,,,1847022.0,0.0,,https://pypi.org/project/huggingface_hub,2021-12-01 17:39:20.000000,0.0,1844966.0,https://anaconda.org/conda-forge/huggingface_hub,2021-12-01 19:57:11.558000,20563.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n595,dbnd,databand-ai/dbnd,,data-pipelines,https://github.com/databand-ai/dbnd,https://github.com/databand-ai/dbnd,Apache-2.0,2020-01-02 10:42:47.000000,2021-12-01 11:38:30.000000,2021-12-01 10:45:30.000000,19,2.0,2.0,206.0,25.0,DBND is an agile pipeline framework that helps data engineering teams track and orchestrate their data processes.,13.0,21,False,2021-12-01 11:32:14.000000,0.55.1,235.0,dbnd,,,,83980.0,25.0,25.0,https://pypi.org/project/dbnd,2021-12-01 11:32:14.000000,0.0,83980.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n596,nvidia-ml-py3,nicolargo/nvidia-ml-py3,,gpu-utilities,https://github.com/nicolargo/nvidia-ml-py3,https://github.com/nicolargo/nvidia-ml-py3,BSD-3-Clause,2017-06-03 07:47:03.000000,2019-03-06 20:41:10.000000,2019-03-06 20:41:09.000000,49,2.0,,71.0,5.0,Python 3 Bindings for the NVIDIA Management Library.,2.0,21,False,2017-06-03 07:43:46.000000,7.352.0,1.0,nvidia-ml-py3,,,,626028.0,4753.0,4533.0,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46.000000,220.0,626028.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n597,Dejavu,worldveil/dejavu,,audio,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35.000000,2020-10-29 17:40:17.000000,2020-06-03 05:58:03.000000,1250,84.0,129.0,5600.0,146.0,Audio fingerprinting and recognition in Python.,23.0,20,False,2015-04-19 21:20:16.000000,0.1.3,4.0,PyDejavu,,,,91.0,22.0,19.0,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16.000000,3.0,91.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n598,MMF,facebookresearch/mmf,,image,https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40.000000,2021-12-02 09:26:39.000000,2021-12-02 09:24:39.000000,776,189.0,416.0,4687.0,,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,88.0,20,True,2019-08-26 19:04:21.000000,0.3.1,12.0,mmf,,['pytorch'],,340.0,10.0,10.0,https://pypi.org/project/mmf,2020-06-12 22:15:02.000000,0.0,340.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n599,mace,XiaoMi/mace,,ml-frameworks,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12.000000,2021-11-25 02:59:03.000000,2021-11-25 01:46:39.000000,771,41.0,612.0,4526.0,3302.0,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,63.0,20,True,2021-03-18 10:07:32.000000,1.0.4,11.0,,,,1385.0,34.0,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n600,cuDF,rapidsai/cudf,,gpu-utilities,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000000,2021-12-02 13:16:32.000000,2021-12-02 13:12:01.000000,566,643.0,3551.0,4340.0,,cuDF - GPU DataFrame Library.,226.0,20,True,2021-10-12 20:19:08.000000,21.10.01,19.0,cudf,,,,819.0,4.0,,https://pypi.org/project/cudf,2020-06-01 20:07:47.000000,4.0,819.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n601,MindsDB,mindsdb/mindsdb,,ml-frameworks,https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,GPL-3.0,2018-08-02 17:56:45.000000,2021-12-02 13:58:36.000000,2021-12-01 17:48:28.000000,548,84.0,694.0,4127.0,,Predictive AI layer for existing databases.,89.0,20,False,2021-11-22 11:23:27.000000,2.58.3,78.0,mindsdb,,['pytorch'],,6345.0,6.0,,https://pypi.org/project/mindsdb,2019-03-19 05:07:23.000000,6.0,6345.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n602,Coqui TTS,coqui-ai/TTS,,audio,https://github.com/coqui-ai/TTS,https://github.com/coqui-ai/TTS,MPL-2.0,2020-05-20 15:45:28.000000,2021-12-02 10:35:37.000000,2021-10-29 16:20:51.000000,221,20.0,163.0,2862.0,,\"- a deep learning toolkit for Text-to-Speech, battle-tested in research and production.\",79.0,20,True,2021-10-26 17:55:11.000000,0.4.1,19.0,tts,,\"['pytorch', 'tensorflow']\",43398.0,6857.0,,,https://pypi.org/project/tts,2017-07-14 20:02:42.000000,,2035.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n603,finmarketpy,cuemacro/finmarketpy,,financial-data,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03.000000,2021-10-07 14:58:03.000000,2021-10-07 14:55:28.000000,448,23.0,3.0,2776.0,678.0,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,14.0,20,True,2021-10-07 14:58:03.000000,0.11.11,12.0,finmarketpy,,,40.0,103.0,4.0,4.0,https://pypi.org/project/finmarketpy,2021-10-07 14:58:03.000000,,103.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n604,dpark,douban/dpark,,data-pipelines,https://github.com/douban/dpark,https://github.com/douban/dpark,BSD-3-Clause,2012-04-11 08:35:06.000000,2020-12-25 10:36:06.000000,2020-12-25 10:36:05.000000,554,,60.0,2666.0,1467.0,\"Python clone of Spark, a MapReduce alike framework in Python.\",35.0,20,True,2018-07-27 04:11:36.000000,0.5.0,19.0,dpark,,['spark'],,30.0,5.0,4.0,https://pypi.org/project/dpark,2018-07-27 04:11:36.000000,1.0,30.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n605,StreamAlert,airbnb/streamalert,,others,https://github.com/airbnb/streamalert,https://github.com/airbnb/streamalert,Apache-2.0,2017-01-22 01:10:56.000000,2021-11-09 01:45:50.000000,2021-11-04 18:52:02.000000,322,84.0,257.0,2626.0,1900.0,\"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data..\",33.0,20,True,2021-11-04 19:07:51.000000,3.5.0,28.0,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n606,cleanlab,cgnorthcutt/cleanlab,,others,https://github.com/cleanlab/cleanlab,https://github.com/cleanlab/cleanlab,AGPL-3.0,2018-05-11 01:55:21.000000,2021-11-17 00:07:37.000000,2021-11-08 16:11:39.000000,237,34.0,47.0,2473.0,814.0,\"The standard package for machine learning with noisy labels, finding mislabeled data, and uncertainty quantification...\",6.0,20,False,2021-04-18 19:52:49.000000,1.0,15.0,cleanlab,,,,4393.0,24.0,24.0,https://pypi.org/project/cleanlab,2020-02-17 07:33:06.000000,0.0,4393.0,,,,3.0,,,,,,,,,,,,,,,,cleanlab/cleanlab,,,,,,,,,,\n607,Luminoth,tryolabs/luminoth,,image,https://github.com/tryolabs/luminoth,https://github.com/tryolabs/luminoth,BSD-3-Clause,2017-02-16 15:07:46.000000,2021-08-25 16:02:32.000000,2020-01-07 20:53:25.000000,413,60.0,128.0,2387.0,838.0,Deep Learning toolkit for Computer Vision.,15.0,20,False,2018-11-09 21:35:17.000000,0.2.3,10.0,luminoth,,['tensorflow'],11986.0,838.0,41.0,39.0,https://pypi.org/project/luminoth,2018-11-09 21:35:17.000000,2.0,599.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n608,DeepWalk,phanein/deepwalk,,graph,https://github.com/phanein/deepwalk,https://github.com/phanein/deepwalk,GPL-3.0,2014-08-23 03:38:20.000000,2021-09-16 12:01:08.000000,2020-04-02 01:05:35.000000,782,37.0,80.0,2357.0,46.0,DeepWalk - Deep Learning for Graphs.,10.0,20,False,2018-04-29 21:05:18.000000,1.0.3,4.0,deepwalk,,,,2089.0,52.0,45.0,https://pypi.org/project/deepwalk,2018-04-29 21:05:18.000000,7.0,2089.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n609,Kashgari,BrikerMan/Kashgari,,nlp,https://github.com/BrikerMan/Kashgari,https://github.com/BrikerMan/Kashgari,Apache-2.0,2019-01-19 01:53:28.000000,2021-07-09 03:57:16.000000,2021-07-09 03:57:16.000000,419,35.0,323.0,2230.0,,Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-..,21.0,20,True,2021-07-04 10:44:36.000000,2.0.2,24.0,kashgari-tf,,['tensorflow'],,72.0,51.0,49.0,https://pypi.org/project/kashgari-tf,2019-10-18 07:57:55.000000,2.0,72.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n610,HiPlot,facebookresearch/hiplot,,data-viz,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41.000000,2021-11-05 18:07:40.000000,2021-11-05 17:54:23.000000,105,10.0,61.0,2215.0,,HiPlot makes understanding high dimensional data easy.,7.0,20,True,2021-11-04 14:37:14.000000,0.1.32,94.0,hiplot,conda-forge/hiplot,,,11458.0,3.0,3.0,https://pypi.org/project/hiplot,2021-11-05 18:07:40.000000,0.0,8165.0,https://anaconda.org/conda-forge/hiplot,2021-11-05 06:41:13.441000,72467.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n611,pytorchvideo,facebookresearch/pytorchvideo,,image,https://github.com/facebookresearch/pytorchvideo,https://github.com/facebookresearch/pytorchvideo,Apache-2.0,2021-03-09 20:39:13.000000,2021-12-01 18:27:37.000000,2021-12-01 18:27:35.000000,194,41.0,62.0,2089.0,,A deep learning library for video understanding research.,25.0,20,True,2021-09-14 00:17:10.000000,0.1.3,8.0,pytorchvideo,,['pytorch'],,7604.0,0.0,,https://pypi.org/project/pytorchvideo,2021-09-14 00:17:10.000000,0.0,7604.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n612,lightseq,bytedance/lightseq,,nlp,https://github.com/bytedance/lightseq,https://github.com/bytedance/lightseq,Apache-2.0,2019-12-06 08:25:24.000000,2021-12-01 03:30:04.000000,2021-11-30 03:40:48.000000,189,67.0,64.0,1830.0,176.0,LightSeq: A High Performance Library for Sequence Processing and Generation.,7.0,20,True,2021-11-30 07:39:10.000000,2.2.1,18.0,lightseq,,,525.0,563.0,,,https://pypi.org/project/lightseq,2021-11-30 07:39:10.000000,,542.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n613,AmpliGraph,Accenture/AmpliGraph,,graph,https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05.000000,2021-09-24 18:27:27.000000,2021-05-25 16:49:48.000000,184,20.0,181.0,1647.0,947.0,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,19.0,20,True,2021-05-25 16:57:42.000000,1.4.0,12.0,ampligraph,,['tensorflow'],,1005.0,16.0,16.0,https://pypi.org/project/ampligraph,2021-05-25 16:47:29.000000,,1005.0,,,,3.0,,,,,,,-2.0,,,,,,,,,,,,,,,,,,,\n614,auto_ml,ClimbsRocks/auto_ml,,hyperopt,https://github.com/ClimbsRocks/auto_ml,https://github.com/ClimbsRocks/auto_ml,MIT,2016-08-07 21:35:08.000000,2021-02-10 07:52:35.000000,2018-03-25 19:46:25.000000,297,185.0,216.0,1558.0,1149.0,[UNMAINTAINED] Automated machine learning for analytics & production.,13.0,20,False,2018-02-22 01:13:03.000000,2.9.10,78.0,auto_ml,,,38.0,1155.0,2.0,,https://pypi.org/project/auto_ml,2018-02-22 01:13:03.000000,2.0,1155.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n615,Haiku,deepmind/dm-haiku,,ml-frameworks,https://github.com/deepmind/dm-haiku,https://github.com/deepmind/dm-haiku,Apache-2.0,2020-02-18 07:14:02.000000,2021-12-02 11:21:05.000000,2021-12-02 11:21:00.000000,116,33.0,93.0,1501.0,,JAX-based neural network library.,53.0,20,True,2021-11-01 13:18:04.000000,0.0.5,7.0,,,,,,256.0,256.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n616,DELTA,Delta-ML/delta,,nlp,https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57.000000,2021-11-08 22:20:35.000000,2020-12-17 06:57:15.000000,292,5.0,74.0,1473.0,932.0,DELTA is a deep learning based natural language and speech processing platform.,41.0,20,True,2020-07-16 09:31:45.000000,0.3.3,4.0,delta-nlp,,['tensorflow'],,438.0,,,https://pypi.org/project/delta-nlp,2020-03-27 04:46:19.000000,,17.0,,,,3.0,,zh794390558/delta,https://hub.docker.com/r/zh794390558/delta,2021-08-03 14:50:00.516864,,13063.0,,,,,,,,,,,,,,,,,,,,\n617,Talos,autonomio/talos,,hyperopt,https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41.000000,2021-05-27 09:49:51.000000,2021-05-27 09:49:50.000000,246,35.0,354.0,1469.0,559.0,\"Hyperparameter Optimization for TensorFlow, Keras and PyTorch.\",19.0,20,True,2020-11-09 16:48:30.000000,1.0,14.0,talos,,['tensorflow'],,859.0,137.0,131.0,https://pypi.org/project/talos,2020-11-09 16:49:08.000000,6.0,859.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n618,anaGo,Hironsan/anago,,nlp,https://github.com/Hironsan/anago,https://github.com/Hironsan/anago,MIT,2017-06-26 21:28:36.000000,2021-08-25 14:45:13.000000,2021-04-01 12:34:50.000000,361,37.0,72.0,1423.0,298.0,\"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.\",11.0,20,True,2018-07-17 01:59:21.000000,1.0.8,14.0,anago,,['tensorflow'],,482.0,32.0,27.0,https://pypi.org/project/anago,2018-07-17 01:59:21.000000,5.0,482.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n619,Classy Vision,facebookresearch/ClassyVision,,image,https://github.com/facebookresearch/ClassyVision,https://github.com/facebookresearch/ClassyVision,MIT,2019-09-13 22:54:44.000000,2021-11-18 09:32:53.000000,2021-11-18 09:32:51.000000,237,53.0,61.0,1384.0,,An end-to-end PyTorch framework for image and video classification.,66.0,20,True,2021-07-19 20:08:51.000000,0.6.0,17.0,classy_vision,conda-forge/classy_vision,['pytorch'],,2094.0,0.0,,https://pypi.org/project/classy_vision,2021-07-09 22:58:06.000000,0.0,1639.0,https://anaconda.org/conda-forge/classy_vision,2020-12-11 20:08:25.437000,10487.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n620,DLTK,DLTK/DLTK,,medical-data,https://github.com/DLTK/DLTK,https://github.com/DLTK/DLTK,Apache-2.0,2017-05-02 15:40:36.000000,2021-08-25 14:40:15.000000,2019-01-21 14:01:28.000000,389,11.0,24.0,1286.0,379.0,Deep Learning Toolkit for Medical Image Analysis.,9.0,20,False,2018-02-26 17:43:57.000000,0.2.1,5.0,dltk,,['tensorflow'],,199.0,21.0,21.0,https://pypi.org/project/dltk,2018-02-26 17:43:57.000000,,199.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n621,pytorch_geometric_temporal,benedekrozemberczki/pytorch_geometric_temporal,,graph,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,MIT,2020-06-27 01:11:33.000000,2021-11-21 18:51:53.000000,2021-11-21 18:51:52.000000,157,2.0,67.0,1184.0,1794.0,PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021).,12.0,20,True,2021-09-11 12:03:52.000000,_00041,39.0,torch-geometric-temporal,,['pytorch'],,729.0,,,https://pypi.org/project/torch-geometric-temporal,2021-09-11 12:02:32.000000,,729.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n622,tensorrec,jfkirk/tensorrec,,recommender-systems,https://github.com/jfkirk/tensorrec,https://github.com/jfkirk/tensorrec,Apache-2.0,2017-02-28 18:51:11.000000,2021-09-07 23:58:55.000000,2020-02-04 21:10:25.000000,218,35.0,90.0,1166.0,334.0,A TensorFlow recommendation algorithm and framework in Python.,9.0,20,False,2019-04-02 00:53:47.000000,0.26.2,30.0,tensorrec,,['tensorflow'],,357.0,29.0,26.0,https://pypi.org/project/tensorrec,2019-04-02 00:53:47.000000,3.0,357.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n623,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,,pytorch-utils,https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000000,2021-11-30 13:42:42.000000,2021-11-30 13:42:40.000000,84,3.0,18.0,1155.0,744.0,PyTorch extensions for fast R&D prototyping and Kaggle farming.,6.0,20,True,2021-08-12 07:49:51.000000,0.4.4,22.0,pytorch_toolbelt,,['pytorch'],,7214.0,2.0,,https://pypi.org/project/pytorch_toolbelt,2021-08-12 07:49:51.000000,2.0,7214.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n624,Norfair,tryolabs/norfair,,image,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000000,2021-10-01 22:03:27.000000,2021-10-01 22:03:26.000000,85,8.0,31.0,1149.0,283.0,Lightweight Python library for adding real-time object tracking to any detector.,9.0,20,True,2021-07-29 15:49:06.000000,0.3.1,12.0,norfair,,,,2039.0,0.0,,https://pypi.org/project/norfair,2021-07-29 15:49:06.000000,0.0,2039.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n625,graph4nlp,graph4ai/graph4nlp,,graph,https://github.com/graph4ai/graph4nlp,https://github.com/graph4ai/graph4nlp,Apache-2.0,2020-07-16 03:28:48.000000,2021-11-24 15:04:42.000000,2021-09-27 01:47:06.000000,129,7.0,80.0,1126.0,1742.0,Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website..,22.0,20,True,2021-09-30 16:52:44.000000,0.5.1-alpha,10.0,graph4nlp,,['pytorch'],,104.0,,,https://pypi.org/project/graph4nlp,2021-09-29 15:52:03.000000,,104.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n626,Skater,oracle/Skater,,interpretability,https://github.com/oracle/Skater,https://github.com/oracle/Skater,UPL-1.0,2017-01-26 05:45:42.000000,2021-11-15 19:51:51.883000,2020-06-29 20:07:12.000000,163,69.0,97.0,1006.0,1101.0,Python Library for Model Interpretation/Explanations.,34.0,20,False,2018-09-21 07:03:32.000000,1.1.2,23.0,skater,conda-forge/skater,,,5982.0,,,https://pypi.org/project/skater,2018-09-21 07:03:32.000000,,5144.0,https://anaconda.org/conda-forge/skater,2021-11-15 19:51:51.883000,45264.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n627,CrypTen,facebookresearch/CrypTen,,privacy-ml,https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000000,2021-12-01 19:19:12.000000,2021-12-01 19:19:09.000000,153,32.0,92.0,965.0,,A framework for Privacy Preserving Machine Learning.,25.0,20,True,2021-09-09 15:15:11.000000,0.4.0,2.0,crypten,,['pytorch'],,311.0,12.0,12.0,https://pypi.org/project/crypten,2021-09-09 15:15:11.000000,,311.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n628,DALEX,ModelOriented/DALEX,,interpretability,https://github.com/ModelOriented/DALEX,https://github.com/ModelOriented/DALEX,GPL-3.0,2018-02-18 03:24:12.000000,2021-11-08 12:23:05.000000,2021-11-08 12:23:03.000000,123,16.0,310.0,962.0,594.0,moDel Agnostic Language for Exploration and eXplanation.,20.0,20,False,2021-11-08 12:22:11.000000,1.4.1,23.0,dalex,,,,6463.0,25.0,25.0,https://pypi.org/project/dalex,2021-11-08 12:22:11.000000,0.0,6463.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n629,keract,philipperemy/keract,,interpretability,https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57.000000,2021-09-24 23:52:45.000000,2021-07-28 09:17:30.000000,184,2.0,81.0,941.0,382.0,Layers Outputs and Gradients in Keras. Made easy.,16.0,20,True,2021-06-19 16:14:57.000000,4.5.0,38.0,keract,,['tensorflow'],,931.0,109.0,104.0,https://pypi.org/project/keract,2021-06-19 16:14:15.000000,5.0,931.0,,,,3.0,,,,,,,-3.0,,,,,,,,,,,,,,,,,,,\n630,Databolt Flow,d6t/d6tflow,,data-pipelines,https://github.com/d6t/d6tflow,https://github.com/d6t/d6tflow,MIT,2019-02-03 01:51:22.000000,2021-10-06 00:53:48.000000,2021-09-28 02:59:00.000000,69,10.0,13.0,936.0,266.0,Python library for building highly effective data science workflows.,12.0,20,True,2021-10-06 00:53:48.000000,0.2.5,21.0,d6tflow,,,,209.0,17.0,17.0,https://pypi.org/project/d6tflow,2021-10-06 00:53:48.000000,,209.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n631,Labml,labmlai/labml,,ml-experiments,https://github.com/labmlai/labml,https://github.com/labmlai/labml,MIT,2018-11-16 09:34:48.000000,2021-09-06 14:08:38.000000,2021-09-06 14:08:28.000000,57,15.0,10.0,848.0,1139.0,Monitor deep learning model training and hardware usage from your mobile phone.,6.0,20,True,2021-08-31 06:09:27.000000,0.4.134,111.0,labml,,,,559.0,39.0,39.0,https://pypi.org/project/labml,2021-08-31 06:09:27.000000,0.0,559.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n632,Orbit,uber/orbit,,probabilistics,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000000,2021-12-01 02:44:43.000000,2021-12-01 01:39:58.000000,60,44.0,257.0,815.0,684.0,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,14.0,20,True,2021-08-30 17:57:34.000000,1.0.17,15.0,orbit-ml,,,,1585.0,5.0,5.0,https://pypi.org/project/orbit-ml,2021-08-30 17:58:36.000000,0.0,1585.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n633,YouTokenToMe,vkcom/youtokentome,,nlp,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28.000000,2021-01-28 23:05:01.000000,2021-01-28 19:04:09.000000,57,28.0,23.0,778.0,79.0,Unsupervised text tokenizer focused on computational efficiency.,6.0,20,True,2020-02-13 09:57:47.000000,1.0.6,14.0,youtokentome,,,,24328.0,186.0,174.0,https://pypi.org/project/youtokentome,2020-02-12 18:24:46.000000,12.0,24328.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n634,DiCE,interpretml/DiCE,,interpretability,https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000000,2021-12-01 19:26:41.000000,2021-11-30 06:55:24.000000,93,46.0,50.0,714.0,470.0,Generate Diverse Counterfactual Explanations for any machine learning model.,12.0,20,True,2021-09-27 06:59:57.000000,0.7.2,8.0,dice-ml,,\"['tensorflow', 'pytorch']\",,15253.0,0.0,,https://pypi.org/project/dice-ml,2021-09-27 06:59:57.000000,0.0,15253.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n635,RLax,deepmind/rlax,,reinforcement-learning,https://github.com/deepmind/rlax,https://github.com/deepmind/rlax,Apache-2.0,2020-02-18 07:14:59.000000,2021-12-01 16:31:43.000000,2021-12-01 16:31:38.000000,55,9.0,9.0,712.0,142.0,A library of reinforcement learning building blocks in JAX.,16.0,20,True,2021-11-19 12:34:30.000000,0.1.1,6.0,rlax,,['jax'],,1570.0,32.0,32.0,https://pypi.org/project/rlax,2021-11-19 12:34:30.000000,,1570.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n636,mlens,flennerhag/mlens,,others,https://github.com/flennerhag/mlens,https://github.com/flennerhag/mlens,MIT,2017-01-10 20:53:47.000000,2020-02-25 14:32:48.000000,2020-02-25 14:31:53.000000,91,10.0,74.0,707.0,879.0,ML-Ensemble high performance ensemble learning.,7.0,20,False,2018-10-30 22:34:35.000000,0.2.3,14.0,mlens,,,,2490.0,174.0,171.0,https://pypi.org/project/mlens,2018-10-30 22:30:43.000000,3.0,2490.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n637,Test Tube,williamFalcon/test-tube,,hyperopt,https://github.com/williamFalcon/test-tube,https://github.com/williamFalcon/test-tube,MIT,2017-09-06 02:14:57.000000,2021-10-14 18:44:27.000000,2020-03-17 22:44:47.000000,64,25.0,21.0,702.0,642.0,Python library to easily log experiments and parallelize hyperparameter search for neural networks.,16.0,20,False,2019-12-01 01:19:36.000000,0.7.5,53.0,test_tube,,,10.0,10414.0,5.0,,https://pypi.org/project/test_tube,2018-12-12 22:45:59.000000,5.0,10414.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n638,Objax,google/objax,,ml-frameworks,https://github.com/google/objax,https://github.com/google/objax,Apache-2.0,2020-08-20 06:20:40.000000,2021-09-20 23:54:26.000000,2021-09-20 23:54:26.000000,56,40.0,56.0,665.0,414.0,Objax is a machine learning framework that provides an Object Oriented layer for JAX.,22.0,20,True,2021-04-01 00:14:18.000000,1.4.0,7.0,objax,,['jax'],,3489.0,17.0,17.0,https://pypi.org/project/objax,2021-04-01 00:02:37.000000,0.0,3489.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n639,sklearn-deap,rsteca/sklearn-deap,,hyperopt,https://github.com/rsteca/sklearn-deap,https://github.com/rsteca/sklearn-deap,MIT,2015-10-28 22:52:34.000000,2021-07-30 15:13:54.000000,2021-07-30 15:06:27.000000,114,21.0,34.0,664.0,104.0,Use evolutionary algorithms instead of gridsearch in scikit-learn.,22.0,20,True,2021-07-30 15:13:54.000000,0.3.0,14.0,sklearn-deap,,['sklearn'],,1168.0,32.0,30.0,https://pypi.org/project/sklearn-deap,2021-07-30 15:13:54.000000,2.0,1168.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n640,Tensor Sensor,parrt/tensor-sensor,,pytorch-utils,https://github.com/parrt/tensor-sensor,https://github.com/parrt/tensor-sensor,MIT,2020-08-28 22:54:04.000000,2021-11-16 17:09:14.000000,2021-11-15 22:34:39.000000,30,10.0,14.0,604.0,207.0,\"The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy,..\",3.0,20,True,2021-09-27 20:15:04.000000,0.1.3,36.0,tensor-sensor,,['pytorch'],,1133.0,7.0,7.0,https://pypi.org/project/tensor-sensor,2021-09-27 20:15:04.000000,,1133.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n641,What-If Tool,PAIR-code/what-if-tool,,interpretability,https://github.com/PAIR-code/what-if-tool,https://github.com/PAIR-code/what-if-tool,Apache-2.0,2018-09-07 20:26:10.000000,2021-11-01 12:13:56.000000,2021-11-01 12:13:55.000000,118,55.0,46.0,603.0,324.0,Source code/webpage/demos for the What-If Tool.,20.0,20,True,2021-10-12 17:42:50.869000,1.8.1,40.0,witwidget,,,,9855.0,0.0,,https://pypi.org/project/witwidget,2021-10-12 17:42:30.000000,0.0,5550.0,,,,3.0,,,,,,,,,wit-widget,https://www.npmjs.com/package/wit-widget,2021-10-12 17:42:50.869000,,4305.0,,,,,,,,,,,,,\n642,PyKEEN,pykeen/pykeen,,graph,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000000,2021-11-29 16:19:53.000000,2021-11-29 15:15:00.000000,84,106.0,200.0,597.0,2487.0,A Python library for learning and evaluating knowledge graph embeddings.,24.0,20,True,2021-10-18 09:50:50.000000,1.6.0,37.0,pykeen,,,92.0,606.0,2.0,,https://pypi.org/project/pykeen,2021-10-18 09:48:18.000000,2.0,601.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n643,deeplift,kundajelab/deeplift,,interpretability,https://github.com/kundajelab/deeplift,https://github.com/kundajelab/deeplift,MIT,2016-06-01 02:18:06.000000,2021-11-11 17:50:26.000000,2021-11-11 17:50:26.000000,135,33.0,48.0,592.0,553.0,Public facing deeplift repo.,11.0,20,True,2018-07-13 21:11:52.000000,0.6.6,21.0,deeplift,,,,522.0,56.0,52.0,https://pypi.org/project/deeplift,2020-11-11 09:32:57.000000,4.0,522.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n644,Caer,jasmcaus/caer,,image,https://github.com/jasmcaus/caer,https://github.com/jasmcaus/caer,MIT,2020-08-06 18:36:14.000000,2021-10-13 21:04:50.000000,2021-10-13 21:05:33.000000,101,2.0,13.0,574.0,5078.0,\"A lightweight Computer Vision library. Scale your models, not boilerplate.\",8.0,20,True,2021-10-13 21:04:12.000000,2.0.8,119.0,caer,,,19.0,3098.0,0.0,,https://pypi.org/project/caer,2021-10-13 21:04:12.000000,0.0,3097.0,,,,3.0,https://caer.rtfd.io,,,,,,,,,,,,,,,,,,,,,,,,,\n645,Poutyne,GRAAL-Research/poutyne,,pytorch-utils,https://github.com/GRAAL-Research/poutyne,https://github.com/GRAAL-Research/poutyne,LGPL-3.0,2017-12-07 18:30:17.000000,2021-12-01 15:33:10.000000,2021-11-09 22:44:59.000000,55,7.0,38.0,506.0,614.0,A simplified framework and utilities for PyTorch.,16.0,20,False,2021-10-30 18:41:03.000000,1.7,24.0,poutyne,,['pytorch'],,4669.0,75.0,71.0,https://pypi.org/project/poutyne,2021-10-30 18:41:31.000000,4.0,4669.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n646,aequitas,dssg/aequitas,,interpretability,https://github.com/dssg/aequitas,https://github.com/dssg/aequitas,MIT,2018-02-13 19:40:30.000000,2021-07-13 10:19:56.000000,2021-05-27 09:45:10.000000,80,37.0,21.0,435.0,857.0,Bias and Fairness Audit Toolkit.,16.0,20,True,2020-12-16 11:48:14.000000,0.42.0,16.0,aequitas,,,,1331.0,93.0,87.0,https://pypi.org/project/aequitas,2020-12-16 11:48:14.000000,6.0,1331.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n647,skope-rules,scikit-learn-contrib/skope-rules,,sklearn-utils,https://github.com/scikit-learn-contrib/skope-rules,https://github.com/scikit-learn-contrib/skope-rules,BSD-1-Clause,2018-02-18 13:42:47.000000,2021-05-12 08:25:18.000000,2020-10-23 14:31:57.000000,69,23.0,5.0,421.0,247.0,machine learning with logical rules in Python.,18.0,20,False,2020-12-11 09:37:02.000000,1.0.1,4.0,skope-rules,,['sklearn'],,45041.0,62.0,56.0,https://pypi.org/project/skope-rules,2020-01-25 12:01:37.000000,6.0,45041.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n648,pydlm,wwrechard/pydlm,,time-series-data,https://github.com/wwrechard/pydlm,https://github.com/wwrechard/pydlm,BSD-3-Clause,2016-06-29 07:58:53.000000,2021-02-24 14:21:28.000000,2019-10-22 07:18:40.000000,87,35.0,8.0,403.0,362.0,A python library for Bayesian time series modeling.,6.0,20,False,2016-11-06 01:43:35.000000,0.1.1,13.0,pydlm,,,,12695.0,26.0,24.0,https://pypi.org/project/pydlm,2018-12-19 10:27:54.000000,2.0,12695.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n649,MedPy,loli/medpy,,medical-data,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34.000000,2020-05-01 15:25:39.000000,2020-05-01 15:25:38.000000,113,11.0,67.0,379.0,324.0,Medical image processing in Python.,13.0,20,False,2019-02-14 17:12:59.000000,0.4.0,6.0,MedPy,,,,7160.0,467.0,437.0,https://pypi.org/project/MedPy,2019-02-14 17:12:59.000000,30.0,7160.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n650,Studio.ml,studioml/studio,,ml-experiments,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28.000000,2021-09-14 22:55:51.000000,2021-09-14 22:26:21.000000,52,57.0,195.0,374.0,2409.0,Studio: Simplify and expedite model building process.,21.0,20,True,2021-09-14 22:55:51.000000,0.0.49,208.0,studioml,,,,311.0,5.0,5.0,https://pypi.org/project/studioml,2021-09-14 22:55:51.000000,,311.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n651,Pywick,achaiah/pywick,,pytorch-utils,https://github.com/achaiah/pywick,https://github.com/achaiah/pywick,MIT,2019-03-25 15:42:47.000000,2021-11-22 22:04:50.000000,2021-10-22 03:09:17.000000,38,2.0,12.0,363.0,149.0,High-level batteries-included neural network training library for Pytorch.,4.0,20,True,2021-10-22 03:19:11.000000,0.6.5,8.0,pywick,,['pytorch'],,7861.0,5.0,5.0,https://pypi.org/project/pywick,2021-10-22 03:19:11.000000,,7861.0,,,,3.0,,,,,,,2.0,,,,,,,,,,,,,,,,,,,\n652,joypy,leotac/joypy,,data-viz,https://github.com/leotac/joypy,https://github.com/leotac/joypy,MIT,2017-07-30 17:18:50.000000,2021-07-27 16:03:44.000000,2021-06-13 10:07:43.000000,41,9.0,36.0,355.0,111.0,Joyplots in Python with matplotlib & pandas.,5.0,20,True,2020-12-28 11:54:36.000000,0.2.4,16.0,joypy,conda-forge/joypy,,,16986.0,114.0,108.0,https://pypi.org/project/joypy,2020-12-28 11:54:36.000000,6.0,16626.0,https://anaconda.org/conda-forge/joypy,2020-12-28 14:07:53.760000,11909.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n653,rrcf,kLabUM/rrcf,,others,https://github.com/kLabUM/rrcf,https://github.com/kLabUM/rrcf,MIT,2018-10-20 05:39:05.000000,2021-01-13 23:05:23.000000,2020-06-10 01:07:39.000000,79,22.0,17.0,345.0,253.0,Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams.,4.0,20,False,2020-06-10 01:53:55.000000,0.4.3,7.0,rrcf,,,,12784.0,29.0,29.0,https://pypi.org/project/rrcf,2020-06-10 01:53:55.000000,0.0,12784.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n654,responsible-ai-widgets,microsoft/responsible-ai-widgets,,interpretability,https://github.com/microsoft/responsible-ai-toolbox,https://github.com/microsoft/responsible-ai-toolbox,MIT,2020-07-06 20:46:53.000000,2021-12-02 06:46:43.000000,2021-12-02 06:44:26.000000,81,65.0,143.0,334.0,,\"This project provides responsible AI user interfaces for Fairlearn, interpret-community, and Error Analysis, as well..\",23.0,20,True,2021-12-01 20:21:43.000000,0.15.1,30.0,raiwidgets,,\"['pytorch', 'tensorflow', 'jupyter']\",,3962.0,18.0,18.0,https://pypi.org/project/raiwidgets,2021-12-01 20:03:11.000000,0.0,3962.0,,,,3.0,,,,,,,,,,,,,,,,microsoft/responsible-ai-toolbox,,,,,,,,,,\n655,scikit-rebate,EpistasisLab/scikit-rebate,,others,https://github.com/EpistasisLab/scikit-rebate,https://github.com/EpistasisLab/scikit-rebate,MIT,2016-09-19 13:36:17.000000,2021-05-18 21:20:09.000000,2021-02-15 17:10:59.000000,60,13.0,19.0,333.0,283.0,\"A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for..\",13.0,20,True,2017-04-12 16:12:01.000000,0.3.4,13.0,skrebate,,['sklearn'],,2038.0,62.0,,https://pypi.org/project/skrebate,2021-03-20 17:11:52.000000,62.0,2038.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n656,scikit-tda,scikit-tda/scikit-tda,,sklearn-utils,https://github.com/scikit-tda/scikit-tda,https://github.com/scikit-tda/scikit-tda,MIT,2018-04-13 21:00:31.000000,2021-10-01 15:05:45.000000,2021-08-03 00:21:54.000000,38,12.0,4.0,320.0,60.0,Topological Data Analysis for Python.,3.0,20,True,2021-08-03 00:23:20.000000,1.0.0,4.0,scikit-tda,,['sklearn'],,3598.0,23.0,23.0,https://pypi.org/project/scikit-tda,2021-08-03 00:23:20.000000,,3598.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n657,recmetrics,statisticianinstilettos/recmetrics,,recommender-systems,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49.000000,2021-10-27 14:22:31.000000,2021-10-27 14:16:34.000000,74,6.0,10.0,319.0,237.0,A library of metrics for evaluating recommender systems.,13.0,20,True,2021-09-24 21:30:26.000000,0.1.0,15.0,recmetrics,,,,747.0,20.0,20.0,https://pypi.org/project/recmetrics,2021-09-24 21:30:26.000000,,747.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n658,sklearn-evaluation,edublancas/sklearn-evaluation,,interpretability,https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2015-09-04 16:33:42.000000,2021-10-17 18:15:40.000000,2021-10-17 18:09:37.000000,28,8.0,29.0,317.0,533.0,\"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook..\",6.0,20,True,2021-10-17 18:15:40.000000,0.5.7,19.0,sklearn-evaluation,,['sklearn'],,686.0,35.0,33.0,https://pypi.org/project/sklearn-evaluation,2021-10-17 18:15:40.000000,2.0,686.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n659,imodels,csinva/imodels,,interpretability,https://github.com/csinva/imodels,https://github.com/csinva/imodels,MIT,2019-07-04 15:38:48.000000,2021-12-02 02:04:36.000000,2021-12-01 16:53:09.000000,28,2.0,14.0,314.0,466.0,\"Interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible).\",5.0,20,True,2021-11-15 21:34:37.000000,1.1.3,15.0,imodels,,,,1002.0,10.0,10.0,https://pypi.org/project/imodels,2021-11-15 21:27:44.000000,,1002.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n660,pyfasttext,vrasneur/pyfasttext,,nlp,https://github.com/vrasneur/pyfasttext,https://github.com/vrasneur/pyfasttext,GPL-3.0,2017-06-30 18:44:42.000000,2018-12-08 15:32:09.000000,2018-12-08 15:02:12.000000,30,21.0,28.0,230.0,153.0,Yet another Python binding for fastText.,4.0,20,False,2018-12-08 15:32:09.000000,0.4.6,13.0,pyfasttext,,,343.0,3497.0,211.0,198.0,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09.000000,13.0,3491.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n661,somoclu,peterwittek/somoclu,,distributed-ml,https://github.com/peterwittek/somoclu,https://github.com/peterwittek/somoclu,MIT,2013-01-16 06:33:16.000000,2021-11-15 19:51:57.895000,2021-10-31 08:28:12.000000,61,26.0,107.0,230.0,619.0,\"Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters.\",19.0,20,False,2021-10-31 08:33:47.000000,1.7.6,17.0,somoclu,conda-forge/somoclu,,1538.0,2190.0,4.0,,https://pypi.org/project/somoclu,2020-04-25 05:33:32.000000,4.0,1083.0,https://anaconda.org/conda-forge/somoclu,2021-11-15 19:51:57.895000,56649.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n662,scikit-posthocs,maximtrp/scikit-posthocs,,probabilistics,https://github.com/maximtrp/scikit-posthocs,https://github.com/maximtrp/scikit-posthocs,MIT,2017-06-22 19:41:37.000000,2021-11-26 21:39:34.000000,2021-11-26 21:39:28.000000,23,4.0,39.0,224.0,466.0,Multiple Pairwise Comparisons (Post Hoc) Tests in Python.,8.0,20,False,2021-03-17 06:05:28.000000,0.6.7,21.0,scikit-posthocs,,['sklearn'],23.0,24774.0,6.0,,https://pypi.org/project/scikit-posthocs,2021-03-15 16:05:51.000000,6.0,24774.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n663,Glow,projectglow/glow,,medical-data,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47.000000,2021-12-02 00:37:53.000000,2021-12-01 20:08:47.000000,55,42.0,77.0,183.0,363.0,An open-source toolkit for large-scale genomic analysis.,18.0,20,False,2021-10-30 01:16:11.000000,1.1.1,14.0,glow.py,,,,33639.0,,,https://pypi.org/project/glow.py,2021-10-30 01:03:44.000000,,33639.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n664,Recommenders,microsoft/recommenders,,recommender-systems,https://github.com/microsoft/recommenders,https://github.com/microsoft/recommenders,MIT,2018-09-19 10:06:07.000000,2021-12-02 14:36:48.000000,2021-09-23 08:42:12.000000,1988,157.0,483.0,11736.0,,Best Practices on Recommendation Systems.,101.0,19,True,2021-09-23 18:03:12.000000,0.7.0,9.0,,,,74.0,2.0,5.0,5.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n665,PaddleDetection,PaddlePaddle/PaddleDetection,,image,https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000000,2021-12-02 13:57:25.000000,2021-12-02 11:00:37.000000,1399,758.0,1920.0,5644.0,,\"Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object..\",74.0,19,True,2021-08-17 09:24:50.000000,2.2.0,4.0,,,['paddle'],,,6.0,6.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n666,neon,NervanaSystems/neon,,ml-frameworks,https://github.com/NervanaSystems/neon,https://github.com/NervanaSystems/neon,Apache-2.0,2014-10-16 01:00:17.000000,2020-12-23 01:21:42.000000,2019-05-22 18:27:54.000000,832,90.0,306.0,3853.0,1118.0,Intel Nervana reference deep learning framework committed to best performance on all hardware.,109.0,19,False,2018-01-05 23:25:04.000000,2.6.0,32.0,nervananeon,,,317.0,113.0,1.0,,https://pypi.org/project/nervananeon,2018-01-05 23:25:04.000000,1.0,109.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n667,Crypto Signals,CryptoSignal/crypto-signal,,financial-data,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24.000000,2021-10-19 20:21:49.000000,2021-06-28 16:44:17.000000,993,54.0,198.0,3650.0,564.0,\"Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 3,100+ stars, 900+ forks.\",28.0,19,True,,,,,,,,2746.0,,,,,,,,,,3.0,,shadowreaver/crypto-signal,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133,7.0,140094.0,,,,,,,,,,,,,,,,,,,,\n668,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,,graph,https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16.000000,2021-11-28 17:50:14.000000,2021-10-27 14:34:36.000000,395,55.0,119.0,2954.0,,Generate embeddings from large-scale graph-structured data.,24.0,19,True,2019-10-14 16:45:11.000000,1.0.0,3.0,torchbiggraph,,['pytorch'],122.0,737.0,4.0,,https://pypi.org/project/torchbiggraph,2019-05-01 21:31:13.000000,4.0,734.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n669,River,online-ml/river,,others,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000000,2021-12-02 12:00:23.000000,2021-12-01 23:54:29.000000,316,7.0,325.0,2933.0,,Online machine learning in Python.,70.0,19,True,2021-12-01 16:11:26.000000,0.9.0,1.0,,,,,,50.0,50.0,,,,,,,,3.0,,,,,,,2.0,,,,,,,,,,,,,,,,,,,\n670,tf-quant-finance,google/tf-quant-finance,,financial-data,https://github.com/google/tf-quant-finance,https://github.com/google/tf-quant-finance,Apache-2.0,2019-07-24 16:09:50.000000,2021-11-25 10:57:36.000000,2021-11-25 10:57:34.000000,392,18.0,18.0,2896.0,823.0,High-performance TensorFlow library for quantitative finance.,36.0,19,True,,,25.0,tf-quant-finance,,['tensorflow'],,491.0,0.0,,https://pypi.org/project/tf-quant-finance,2021-11-15 14:17:10.000000,0.0,491.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n671,AdaBound,Luolc/AdaBound,,pytorch-utils,https://github.com/Luolc/AdaBound,https://github.com/Luolc/AdaBound,Apache-2.0,2019-02-15 18:05:20.000000,2019-03-06 17:01:52.000000,2019-03-06 17:01:45.000000,327,16.0,7.0,2878.0,27.0,An optimizer that trains as fast as Adam and as good as SGD.,2.0,19,False,2019-03-06 16:44:42.000000,0.0.5,4.0,adabound,,['pytorch'],,885.0,134.0,122.0,https://pypi.org/project/adabound,2019-02-26 04:23:45.000000,12.0,885.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n672,NLP Architect,IntelLabs/nlp-architect,,nlp,https://github.com/IntelLabs/nlp-architect,https://github.com/IntelLabs/nlp-architect,Apache-2.0,2018-05-17 21:00:13.000000,2021-09-12 08:32:45.000000,2021-09-12 08:29:06.000000,437,21.0,112.0,2765.0,954.0,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,37.0,19,True,2020-11-17 12:32:37.000000,0.5.5.1,13.0,nlp-architect,,,,335.0,8.0,8.0,https://pypi.org/project/nlp-architect,2020-04-12 11:34:38.000000,,335.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n673,image-match,ProvenanceLabs/image-match,,image,https://github.com/ProvenanceLabs/image-match,https://github.com/ProvenanceLabs/image-match,Apache-2.0,2016-03-08 18:16:45.000000,2021-09-21 13:07:59.000000,2021-09-21 13:07:59.000000,380,56.0,48.0,2658.0,405.0,Quickly search over billions of images.,19.0,19,True,2017-02-13 14:54:48.000000,1.1.2,10.0,image_match,,,,848.0,6.0,,https://pypi.org/project/image_match,2017-02-13 14:54:48.000000,6.0,848.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n674,Apache Singa,apache/singa,,distributed-ml,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000000,2021-12-02 04:35:29.000000,2021-08-10 09:12:48.000000,725,40.0,49.0,2452.0,2360.0,a distributed deep learning platform.,76.0,19,True,2020-04-21 08:01:08.000000,3.0.0,16.0,,nusdbsystem/singa,,,8.0,1.0,1.0,,,,,https://anaconda.org/nusdbsystem/singa,2021-08-09 13:10:26.397000,387.0,3.0,,apache/singa,https://hub.docker.com/r/apache/singa,2019-06-04 04:32:52.195956,4.0,207.0,,,,,,,,,,,,,,,,,,,,\n675,vissl,facebookresearch/vissl,,image,https://github.com/facebookresearch/vissl,https://github.com/facebookresearch/vissl,MIT,2020-04-09 19:40:33.000000,2021-11-30 01:14:02.000000,2021-11-29 14:28:03.000000,213,44.0,84.0,2205.0,,\"VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.\",30.0,19,True,2021-11-02 17:21:02.000000,0.1.6,6.0,vissl,,['pytorch'],,137.0,3.0,3.0,https://pypi.org/project/vissl,2021-11-02 15:36:07.000000,0.0,137.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n676,pdftabextract,WZBSocialScienceCenter/pdftabextract,,ocr,https://github.com/WZBSocialScienceCenter/pdftabextract,https://github.com/WZBSocialScienceCenter/pdftabextract,Apache-2.0,2016-07-08 11:44:46.000000,2020-12-28 00:52:23.000000,2018-10-26 13:57:02.000000,339,3.0,18.0,1966.0,168.0,A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.,2.0,19,False,2018-01-09 08:00:24.000000,0.3.0,5.0,pdftabextract,,,,332.0,38.0,37.0,https://pypi.org/project/pdftabextract,2018-01-09 08:00:24.000000,1.0,332.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n677,Backtesting.py,kernc/backtesting.py,,financial-data,https://github.com/kernc/backtesting.py,https://github.com/kernc/backtesting.py,AGPL-3.0,2019-01-02 03:11:32.000000,2021-10-15 10:47:14.000000,2021-10-14 09:35:40.000000,407,44.0,226.0,1929.0,245.0,Backtest trading strategies in Python.,15.0,19,False,2017-07-22 02:00:06.000000,0.0.1,1.0,backtesting,,,,8782.0,2.0,,https://pypi.org/project/backtesting,2017-07-22 02:00:06.000000,2.0,8782.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n678,greykite,linkedin/greykite,,time-series-data,https://github.com/linkedin/greykite,https://github.com/linkedin/greykite,BSD-2-Clause,2021-04-27 17:05:53.000000,2021-10-18 23:45:08.000000,2021-10-18 23:45:08.000000,58,11.0,46.0,1352.0,15.0,\"A flexible, intuitive and fast forecasting library.\",7.0,19,True,2021-07-01 19:41:38.000000,0.2.0,6.0,greykite,,,,6000.0,8.0,8.0,https://pypi.org/project/greykite,2021-07-01 19:41:38.000000,,6000.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n679,ThunderSVM,Xtra-Computing/thundersvm,,ml-frameworks,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04.000000,2021-02-10 05:12:44.000000,2021-02-10 05:12:44.000000,180,57.0,145.0,1351.0,902.0,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,33.0,19,True,2020-03-13 12:36:30.000000,0.3.12,9.0,thundersvm,,,2288.0,453.0,,,https://pypi.org/project/thundersvm,2020-03-13 12:36:30.000000,,416.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n680,doc2text,jlsutherland/doc2text,,ocr,https://github.com/jlsutherland/doc2text,https://github.com/jlsutherland/doc2text,MIT,2016-08-28 19:30:02.000000,2020-12-01 22:56:27.000000,2020-12-01 22:56:26.000000,101,14.0,9.0,1252.0,62.0,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,5.0,19,True,2016-09-06 21:59:21.000000,0.2.4,5.0,doc2text,,,,342.0,50.0,50.0,https://pypi.org/project/doc2text,2016-09-06 21:59:21.000000,,342.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n681,TensorNets,taehoonlee/tensornets,,tensorflow-utils,https://github.com/taehoonlee/tensornets,https://github.com/taehoonlee/tensornets,MIT,2017-09-19 05:19:01.000000,2021-01-02 06:28:10.000000,2021-01-02 06:26:24.000000,186,16.0,42.0,994.0,284.0,High level network definitions with pre-trained weights in TensorFlow.,6.0,19,True,2020-03-31 04:38:27.000000,0.4.6,12.0,tensornets,,['tensorflow'],,111.0,46.0,42.0,https://pypi.org/project/tensornets,2020-03-31 04:35:15.000000,4.0,111.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n682,advertorch,BorealisAI/advertorch,,adversarial,https://github.com/BorealisAI/advertorch,https://github.com/BorealisAI/advertorch,GPL-3.0,2018-11-29 22:17:33.000000,2021-08-26 22:02:01.000000,2021-07-30 15:59:28.000000,153,15.0,33.0,967.0,273.0,A Toolbox for Adversarial Robustness Research.,18.0,19,False,2020-06-15 01:20:07.000000,0.2.3,10.0,advertorch,,['pytorch'],,512.0,61.0,55.0,https://pypi.org/project/advertorch,2020-06-15 01:20:07.000000,6.0,512.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n683,calamari,Calamari-OCR/calamari,,ocr,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,Apache-2.0,2018-03-20 15:22:29.000000,2021-10-28 09:18:45.000000,2021-10-02 08:17:09.000000,184,39.0,191.0,877.0,405.0,Line based ATR Engine based on OCRopy.,19.0,19,True,2021-10-02 07:50:30.000000,2.1.4,30.0,calamari_ocr,,,,747.0,2.0,,https://pypi.org/project/calamari_ocr,2018-11-13 11:24:45.000000,2.0,747.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n684,mrq,pricingassistant/mrq,,data-pipelines,https://github.com/pricingassistant/mrq,https://github.com/pricingassistant/mrq,MIT,2014-02-13 09:32:40.000000,2021-05-19 17:32:27.000000,2020-12-13 18:58:15.000000,113,59.0,119.0,856.0,709.0,Mr. Queue - A distributed worker task queue in Python using Redis & gevent.,37.0,19,True,2018-08-31 16:03:04.000000,0.9.10,70.0,mrq,,,,174.0,39.0,27.0,https://pypi.org/project/mrq,2018-08-31 16:03:04.000000,12.0,174.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n685,NGT,yahoojapan/NGT,,nn-search,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000000,2021-11-06 00:02:46.000000,2021-10-25 04:48:23.000000,82,8.0,74.0,823.0,132.0,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,12.0,19,True,2021-04-14 00:31:14.000000,1.13.7,50.0,ngt,,,,11979.0,6.0,,https://pypi.org/project/ngt,2020-09-23 06:52:45.000000,6.0,11979.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n686,AstroML,astroML/astroML,,others,https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50.000000,2021-08-04 16:00:40.000000,2021-04-07 06:12:17.000000,271,53.0,86.0,784.0,,\"Machine learning, statistics, and data mining for astronomy and astrophysics.\",30.0,19,True,2019-10-02 06:32:58.000000,0.4.1,10.0,astroML,conda-forge/astroml,['sklearn'],,1588.0,29.0,,https://pypi.org/project/astroML,2020-03-23 23:20:49.000000,29.0,1079.0,https://anaconda.org/conda-forge/astroml,2020-02-16 04:18:54.678000,26518.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n687,tffm,geffy/tffm,,tensorflow-utils,https://github.com/geffy/tffm,https://github.com/geffy/tffm,MIT,2016-05-02 17:06:07.000000,2020-05-22 21:40:58.000000,2020-05-22 21:40:57.000000,180,17.0,22.0,774.0,106.0,TensorFlow implementation of an arbitrary order Factorization Machine.,10.0,19,False,2018-01-27 11:43:26.000000,1.0.1,2.0,tffm,,['tensorflow'],,1724.0,12.0,11.0,https://pypi.org/project/tffm,2018-01-27 11:43:26.000000,1.0,1724.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n688,TensorFrames,databricks/tensorframes,,distributed-ml,https://github.com/databricks/tensorframes,https://github.com/databricks/tensorframes,Apache-2.0,2016-03-04 19:25:19.000000,2021-08-25 14:58:55.000000,2019-11-15 21:43:53.000000,157,51.0,43.0,762.0,221.0,[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark.,16.0,19,False,2018-11-16 20:50:02.000000,0.6.0,6.0,tensorframes,,\"['tensorflow', 'spark']\",,15216.0,1.0,,https://pypi.org/project/tensorframes,2018-05-16 14:20:28.000000,1.0,15216.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n689,XAI,EthicalML/xai,,interpretability,https://github.com/EthicalML/xai,https://github.com/EthicalML/xai,MIT,2019-01-11 20:00:09.000000,2021-10-30 06:35:19.000000,2021-10-30 06:30:12.000000,114,1.0,7.0,740.0,91.0,XAI - An eXplainability toolbox for machine learning.,3.0,19,True,2021-10-30 06:35:19.000000,0.1.0,6.0,xai,,,,279.0,17.0,11.0,https://pypi.org/project/xai,2021-10-30 06:33:26.000000,6.0,279.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n690,bambi,bambinos/bambi,,probabilistics,https://github.com/bambinos/bambi,https://github.com/bambinos/bambi,MIT,2016-05-16 03:21:00.000000,2021-12-01 12:18:02.000000,2021-12-01 12:18:01.000000,65,30.0,179.0,700.0,,BAyesian Model-Building Interface (Bambi) in Python.,21.0,19,True,2021-09-17 11:44:34.000000,0.6.3,17.0,bambi,,,,966.0,19.0,16.0,https://pypi.org/project/bambi,2021-09-17 11:44:34.000000,3.0,966.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n691,NearPy,pixelogik/NearPy,,nn-search,https://github.com/pixelogik/NearPy,https://github.com/pixelogik/NearPy,MIT,2013-04-25 09:10:26.000000,2021-09-26 01:44:54.000000,2018-10-21 17:54:28.000000,142,24.0,38.0,693.0,159.0,\"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..\",18.0,19,False,2016-09-27 13:04:44.000000,1.0.0,8.0,NearPy,,,,888.0,75.0,59.0,https://pypi.org/project/NearPy,2016-09-27 13:03:12.000000,16.0,888.0,,,,3.0,,,,,,,-2.0,,,,,,,,,,,,,,,,,,,\n692,matrixprofile-ts,target/matrixprofile-ts,,time-series-data,https://github.com/target/matrixprofile-ts,https://github.com/target/matrixprofile-ts,Apache-2.0,2018-09-10 19:03:34.000000,2020-04-25 18:38:20.000000,2020-04-25 18:37:42.000000,92,19.0,34.0,666.0,198.0,A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile.,15.0,19,False,2019-08-08 01:24:38.000000,0.0.9,9.0,matrixprofile-ts,,,,1138.0,17.0,17.0,https://pypi.org/project/matrixprofile-ts,2019-08-08 01:24:38.000000,,1138.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n693,finetune,IndicoDataSolutions/finetune,,nlp,https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16.000000,2021-11-30 11:05:21.000000,2021-11-18 10:57:22.000000,69,21.0,116.0,656.0,1201.0,Scikit-learn style model finetuning for NLP.,19.0,19,True,2020-01-10 22:42:24.000000,0.8.6,37.0,finetune,,\"['tensorflow', 'sklearn']\",,107.0,11.0,9.0,https://pypi.org/project/finetune,2020-01-10 22:42:24.000000,2.0,107.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n694,vecstack,vecxoz/vecstack,,others,https://github.com/vecxoz/vecstack,https://github.com/vecxoz/vecstack,MIT,2016-11-08 13:23:21.000000,2020-09-14 08:31:07.000000,2019-10-30 09:27:48.000000,74,,38.0,640.0,189.0,Python package for stacking (machine learning technique).,1.0,19,False,2019-08-12 16:09:01.000000,0.4.0,6.0,vecstack,,,,4733.0,176.0,168.0,https://pypi.org/project/vecstack,2019-08-12 16:01:22.000000,8.0,4733.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n695,Torchbearer,pytorchbearer/torchbearer,,ml-frameworks,https://github.com/pytorchbearer/torchbearer,https://github.com/pytorchbearer/torchbearer,MIT,2018-03-12 16:30:42.000000,2021-03-26 19:56:57.000000,2021-03-26 19:56:57.000000,68,8.0,237.0,614.0,430.0,torchbearer: A model fitting library for PyTorch.,13.0,19,True,2020-01-31 14:07:22.000000,0.5.3,24.0,torchbearer,,['pytorch'],,752.0,62.0,56.0,https://pypi.org/project/torchbearer,2020-01-31 14:05:56.000000,6.0,752.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n696,Dragonfly,dragonfly/dragonfly,,hyperopt,https://github.com/dragonfly/dragonfly,https://github.com/dragonfly/dragonfly,MIT,2018-04-20 22:19:50.000000,2021-07-31 04:54:26.000000,2020-07-03 18:01:17.000000,199,32.0,18.0,608.0,397.0,An open source python library for scalable Bayesian optimisation.,12.0,19,False,2020-07-03 18:05:12.000000,0.1.6,9.0,dragonfly-opt,,,,42234.0,2.0,,https://pypi.org/project/dragonfly-opt,2020-07-03 18:05:12.000000,2.0,42234.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n697,baikal,alegonz/baikal,,others,https://github.com/alegonz/baikal,https://github.com/alegonz/baikal,BSD-3-Clause,2019-01-21 12:59:02.000000,2021-11-04 20:09:22.632000,2021-04-11 07:50:00.000000,29,6.0,14.0,585.0,405.0,A graph-based functional API for building complex scikit-learn pipelines.,2.0,19,True,2020-11-15 13:40:18.000000,0.4.2,8.0,baikal,conda-forge/cython-blis,,,34623.0,3.0,3.0,https://pypi.org/project/baikal,2020-11-15 13:40:18.000000,0.0,216.0,https://anaconda.org/conda-forge/cython-blis,2021-11-04 20:09:22.632000,1135442.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n698,pyhsmm,mattjj/pyhsmm,,probabilistics,https://github.com/mattjj/pyhsmm,https://github.com/mattjj/pyhsmm,MIT,2012-03-18 17:40:13.000000,2020-09-29 20:58:26.000000,2020-08-24 17:03:59.000000,159,39.0,60.0,504.0,1426.0,Bayesian inference in HSMMs and HMMs.,13.0,19,False,2017-05-10 17:14:37.000000,0.1.7,8.0,pyhsmm,,,,141.0,31.0,23.0,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37.000000,8.0,141.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n699,apricot,jmschrei/apricot,,others,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12.000000,2021-11-18 21:06:56.000000,2021-11-18 21:06:54.000000,40,5.0,18.0,381.0,172.0,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,4.0,19,True,2020-09-28 07:19:15.000000,0.6.0,13.0,apricot-select,,,9.0,244.0,21.0,21.0,https://pypi.org/project/apricot-select,2020-09-28 07:19:15.000000,0.0,244.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n700,Case Recommender,caserec/CaseRecommender,,recommender-systems,https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39.000000,2021-11-25 23:19:05.000000,2021-11-25 23:08:43.000000,77,7.0,20.0,369.0,204.0,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems.,11.0,19,True,2021-11-25 23:19:05.000000,1.1.1,42.0,caserecommender,,['sklearn'],,426.0,9.0,9.0,https://pypi.org/project/caserecommender,2021-11-25 23:19:05.000000,,426.0,,,,3.0,,,,,,,2.0,,,,,,,,,,,,,,,,,,,\n701,DESlib,scikit-learn-contrib/DESlib,,sklearn-utils,https://github.com/scikit-learn-contrib/DESlib,https://github.com/scikit-learn-contrib/DESlib,BSD-3-Clause,2017-12-08 22:49:49.000000,2021-10-10 00:13:26.000000,2021-10-10 00:13:26.000000,73,14.0,129.0,360.0,273.0,A Python library for dynamic classifier and ensemble selection.,13.0,19,True,2021-02-08 06:29:25.000000,0.3.5,4.0,deslib,,['sklearn'],,1087.0,22.0,22.0,https://pypi.org/project/deslib,2021-02-08 06:29:25.000000,0.0,1087.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n702,Auto TS,AutoViML/Auto_TS,,time-series-data,https://github.com/AutoViML/Auto_TS,https://github.com/AutoViML/Auto_TS,Apache-2.0,2020-02-15 15:23:32.000000,2021-11-26 03:17:43.000000,2021-11-26 03:16:13.000000,64,9.0,47.0,336.0,240.0,\"Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of..\",6.0,19,True,2021-11-26 03:17:43.000000,0.0.43,21.0,auto-ts,,,,1669.0,,,https://pypi.org/project/auto-ts,2021-11-26 03:17:43.000000,,1669.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n703,TSFEL,fraunhoferportugal/tsfel,,time-series-data,https://github.com/fraunhoferportugal/tsfel,https://github.com/fraunhoferportugal/tsfel,BSD-3-Clause,2019-01-09 16:41:30.000000,2021-09-19 18:16:30.000000,2021-09-10 15:56:34.000000,43,7.0,39.0,322.0,273.0,An intuitive library to extract features from time series.,11.0,19,True,2021-02-14 17:48:46.000000,0.1.4,8.0,tsfel,,,,3299.0,25.0,25.0,https://pypi.org/project/tsfel,2021-02-14 17:40:32.000000,,3299.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n704,quinn,MrPowers/quinn,,ml-experiments,https://github.com/MrPowers/quinn,https://github.com/MrPowers/quinn,Apache-2.0,2017-09-15 13:02:42.000000,2021-03-27 14:31:44.000000,2021-02-09 04:48:07.000000,36,17.0,9.0,297.0,110.0,pyspark methods to enhance developer productivity.,6.0,19,False,2021-02-06 15:21:04.000000,0.9.0,12.0,quinn,,['spark'],,344218.0,6.0,,https://pypi.org/project/quinn,2021-02-06 15:21:04.000000,6.0,344218.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n705,textpipe,textpipe/textpipe,,nlp,https://github.com/textpipe/textpipe,https://github.com/textpipe/textpipe,MIT,2018-06-21 16:23:32.000000,2021-06-09 11:55:53.000000,2021-06-09 11:55:53.000000,22,24.0,25.0,293.0,371.0,Textpipe: clean and extract metadata from text.,28.0,19,False,2021-01-25 14:05:21.000000,0.12.2,39.0,textpipe,,,,1536.0,9.0,8.0,https://pypi.org/project/textpipe,2021-01-25 14:05:21.000000,1.0,1536.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n706,chefboost,serengil/chefboost,,ml-frameworks,https://github.com/serengil/chefboost,https://github.com/serengil/chefboost,MIT,2019-03-06 12:26:27.000000,2021-11-03 06:31:33.000000,2021-11-03 06:31:33.000000,75,2.0,15.0,286.0,327.0,\"A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some..\",5.0,19,False,2021-06-28 19:23:52.000000,0.0.13,13.0,chefboost,,,,465.0,16.0,16.0,https://pypi.org/project/chefboost,2021-06-28 19:23:52.000000,,465.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n707,pandas-ml,pandas-ml/pandas-ml,,others,https://github.com/pandas-ml/pandas-ml,https://github.com/pandas-ml/pandas-ml,BSD-3-Clause,2015-02-21 03:14:04.000000,2020-08-14 12:29:33.000000,2019-03-05 01:36:55.000000,61,24.0,17.0,280.0,153.0,\"pandas, scikit-learn, xgboost and seaborn integration.\",4.0,19,False,2019-03-05 01:36:12.000000,0.6.1,9.0,pandas-ml,,\"['sklearn', 'pandas']\",5.0,2628.0,10.0,,https://pypi.org/project/pandas-ml,2019-03-05 01:35:23.000000,10.0,2628.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n708,sk-dist,Ibotta/sk-dist,,distributed-ml,https://github.com/Ibotta/sk-dist,https://github.com/Ibotta/sk-dist,Apache-2.0,2019-08-14 21:07:17.000000,2021-07-07 00:44:10.000000,2021-07-07 00:44:07.000000,47,7.0,10.0,270.0,58.0,Distributed scikit-learn meta-estimators in PySpark.,7.0,19,False,2020-05-14 22:20:14.000000,0.1.9,12.0,sk-dist,,\"['sklearn', 'spark']\",,38053.0,10.0,8.0,https://pypi.org/project/sk-dist,2020-05-14 22:20:14.000000,2.0,38053.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n709,Brainiak,brainiak/brainiak,,medical-data,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27.000000,2021-05-28 01:21:58.000000,2021-05-28 01:21:58.000000,123,72.0,122.0,258.0,393.0,Brain Imaging Analysis Kit.,33.0,19,False,2019-08-27 23:52:29.000000,0.9.1,15.0,brainiak,,,,157.0,16.0,15.0,https://pypi.org/project/brainiak,2020-10-15 20:45:08.000000,1.0,148.0,,,,3.0,,brainiak/brainiak,https://hub.docker.com/r/brainiak/brainiak,2020-10-15 21:11:03.379549,1.0,675.0,,,,,,,,,,,,,,,,,,,,\n710,ivis,beringresearch/ivis,,data-viz,https://github.com/beringresearch/ivis,https://github.com/beringresearch/ivis,Apache-2.0,2018-08-13 08:31:01.000000,2021-11-08 17:08:45.000000,2021-11-08 17:08:42.000000,26,3.0,50.0,249.0,611.0,Dimensionality reduction in very large datasets using Siamese Networks.,10.0,19,False,2021-10-17 09:48:21.000000,2.06,32.0,ivis,,['tensorflow'],,483.0,19.0,19.0,https://pypi.org/project/ivis,2021-10-17 09:46:36.000000,0.0,483.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n711,fairness-indicators,tensorflow/fairness-indicators,,interpretability,https://github.com/tensorflow/fairness-indicators,https://github.com/tensorflow/fairness-indicators,Apache-2.0,2019-09-30 22:56:45.000000,2021-11-12 23:53:35.000000,2021-11-12 23:22:02.000000,65,12.0,8.0,239.0,278.0,Tensorflow's Fairness Evaluation and Visualization Toolkit.,25.0,19,False,2021-11-12 23:53:35.000000,0.35.0,21.0,fairness-indicators,,\"['tensorflow', 'jupyter']\",,848.0,,,https://pypi.org/project/fairness-indicators,2021-11-12 23:53:35.000000,,848.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n712,model-card-toolkit,tensorflow/model-card-toolkit,,interpretability,https://github.com/tensorflow/model-card-toolkit,https://github.com/tensorflow/model-card-toolkit,Apache-2.0,2020-07-24 16:48:58.000000,2021-12-02 04:26:37.000000,2021-12-02 04:26:33.000000,40,15.0,2.0,238.0,165.0,a tool that leverages rich metadata and lineage information in MLMD to build a model card.,11.0,19,False,2021-09-02 22:08:38.000000,1.1.0,6.0,model-card-toolkit,,,,270.0,5.0,5.0,https://pypi.org/project/model-card-toolkit,2021-09-02 22:06:45.000000,,270.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n713,gokart,m3dev/gokart,,ml-experiments,https://github.com/m3dev/gokart,https://github.com/m3dev/gokart,MIT,2018-12-23 07:40:27.000000,2021-11-16 10:27:07.000000,2021-11-16 10:27:07.000000,38,14.0,51.0,227.0,449.0,\"Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning..\",29.0,19,False,2021-10-15 10:18:50.000000,1.0.6,61.0,gokart,,,,544.0,2.0,,https://pypi.org/project/gokart,2020-02-25 06:01:19.000000,2.0,544.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n714,fletcher,xhochy/fletcher,,data-containers,https://github.com/xhochy/fletcher,https://github.com/xhochy/fletcher,MIT,2018-03-04 16:44:22.000000,2021-11-04 09:30:27.570000,2021-02-18 14:46:18.000000,34,34.0,40.0,219.0,520.0,Pandas ExtensionDType/Array backed by Apache Arrow.,24.0,19,False,2021-01-17 20:11:01.000000,0.7.2,16.0,fletcher,conda-forge/fletcher,['pandas'],13.0,1090.0,3.0,3.0,https://pypi.org/project/fletcher,2021-01-17 20:11:01.000000,0.0,239.0,https://anaconda.org/conda-forge/fletcher,2021-11-04 09:30:27.570000,34910.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n715,pymap3d,geospace-code/pymap3d,,geospatial-data,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03.000000,2021-11-28 17:12:07.000000,2021-11-28 17:12:04.000000,61,2.0,28.0,218.0,,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,11.0,19,False,2021-11-22 06:36:42.000000,2.7.3,51.0,pymap3d,conda-forge/pymap3d,,,47550.0,6.0,,https://pypi.org/project/pymap3d,2021-10-18 21:07:53.000000,6.0,46806.0,https://anaconda.org/conda-forge/pymap3d,2021-10-19 05:47:09.404000,15624.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n716,Funsor,pyro-ppl/funsor,,probabilistics,https://github.com/pyro-ppl/funsor,https://github.com/pyro-ppl/funsor,Apache-2.0,2019-01-30 23:13:39.000000,2021-11-12 22:44:06.000000,2021-11-12 22:44:05.000000,15,73.0,73.0,184.0,560.0,Functional tensors for probabilistic programming.,9.0,19,False,2021-07-02 04:10:35.000000,0.4.1,7.0,funsor,,['pytorch'],,602.0,19.0,19.0,https://pypi.org/project/funsor,2021-07-02 04:09:26.000000,0.0,602.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n717,flupy,olirice/flupy,,data-pipelines,https://github.com/olirice/flupy,https://github.com/olirice/flupy,MIT,2018-01-06 16:46:04.000000,2021-11-05 17:01:59.000000,2021-11-05 17:01:56.000000,12,3.0,9.0,167.0,195.0,Fluent data pipelines for python and your shell.,6.0,19,False,2021-10-15 12:35:59.000000,1.1.9,37.0,flupy,,,,32082.0,0.0,,https://pypi.org/project/flupy,2021-10-15 12:35:59.000000,0.0,32082.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n718,featurewiz,AutoViML/featurewiz,,hyperopt,https://github.com/AutoViML/featurewiz,https://github.com/AutoViML/featurewiz,Apache-2.0,2020-11-29 16:46:16.000000,2021-11-20 13:39:21.000000,2021-11-20 13:39:21.000000,27,6.0,1.0,90.0,,Use advanced feature engineering strategies and select best features from your data set with a single line of code.,3.0,19,False,2021-11-10 13:54:30.000000,0.0.51,45.0,featurewiz,,,,75052.0,3.0,3.0,https://pypi.org/project/featurewiz,2021-11-10 13:54:30.000000,,75052.0,,,,3.0,,,,,,,3.0,,,,,,,,,,,,,,,,,,,\n719,TTS,mozilla/TTS,,audio,https://github.com/mozilla/TTS,https://github.com/mozilla/TTS,MPL-2.0,2018-01-23 14:22:06.000000,2021-08-10 18:22:41.000000,2021-02-12 10:36:31.000000,840,13.0,506.0,5376.0,2184.0,Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts).,56.0,18,True,2021-01-29 00:03:56.000000,0.0.9,1.0,,,,1463.0,133.0,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n720,graph-nets,deepmind/graph_nets,,graph,https://github.com/deepmind/graph_nets,https://github.com/deepmind/graph_nets,Apache-2.0,2018-08-31 08:19:28.000000,2020-12-04 17:43:48.000000,2020-12-04 17:43:47.000000,763,7.0,118.0,5047.0,47.0,Build Graph Nets in Tensorflow.,10.0,18,True,2020-01-29 16:00:25.000000,1.1.0,7.0,graph-nets,,['tensorflow'],,885.0,7.0,,https://pypi.org/project/graph-nets,2020-01-29 16:00:25.000000,7.0,885.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n721,BytePS,bytedance/byteps,,distributed-ml,https://github.com/bytedance/byteps,https://github.com/bytedance/byteps,Apache-2.0,2019-06-25 07:00:13.000000,2021-10-12 17:02:08.000000,2021-10-12 16:17:49.000000,421,100.0,155.0,3016.0,427.0,A high performance and generic framework for distributed DNN training.,19.0,18,True,2020-08-27 15:42:13.000000,0.2.4,8.0,byteps,,,,82.0,,,https://pypi.org/project/byteps,2021-08-02 17:37:42.000000,,43.0,,,,3.0,,bytepsimage/tensorflow,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,1196.0,,,,,,,,,,,,,,,,,,,,\n722,LIT,PAIR-code/lit,,interpretability,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000000,2021-12-02 09:19:04.000000,2021-11-14 21:25:56.000000,270,77.0,61.0,2714.0,,The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and..,17.0,18,True,2021-11-09 03:06:04.000000,0.4,6.0,lit-nlp,,,,326.0,7.0,7.0,https://pypi.org/project/lit-nlp,2021-11-09 03:07:05.000000,,326.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n723,cuML,rapidsai/cuml,,gpu-utilities,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000000,2021-12-02 04:25:06.000000,2021-12-01 14:46:57.000000,365,656.0,1278.0,2473.0,,cuML - RAPIDS Machine Learning Library.,144.0,18,True,2021-11-12 10:16:39.000000,21.10.02,19.0,cuml,,,,556.0,0.0,,https://pypi.org/project/cuml,2020-06-01 20:09:10.000000,0.0,556.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n724,Coach,IntelLabs/coach,,reinforcement-learning,https://github.com/IntelLabs/coach,https://github.com/IntelLabs/coach,Apache-2.0,2017-10-01 19:27:43.000000,2021-08-21 06:45:37.000000,2021-06-28 07:40:53.000000,407,87.0,183.0,2083.0,521.0,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,35.0,18,True,2019-10-10 14:17:10.000000,1.0.1,13.0,rl_coach,,,,134.0,2.0,,https://pypi.org/project/rl_coach,2019-10-10 14:17:10.000000,2.0,134.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n725,fast-bert,utterworks/fast-bert,,nlp,https://github.com/utterworks/fast-bert,https://github.com/utterworks/fast-bert,Apache-2.0,2019-04-18 22:01:20.000000,2021-09-23 12:14:23.000000,2021-08-31 13:59:28.000000,324,147.0,94.0,1676.0,,Super easy library for BERT based NLP models.,35.0,18,True,2021-05-23 14:35:28.000000,1.9.9,43.0,fast-bert,,,,1387.0,2.0,,https://pypi.org/project/fast-bert,2021-05-23 14:35:28.000000,2.0,1387.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n726,NeuroNER,Franck-Dernoncourt/NeuroNER,,nlp,https://github.com/Franck-Dernoncourt/NeuroNER,https://github.com/Franck-Dernoncourt/NeuroNER,MIT,2017-03-07 01:24:15.000000,2021-10-16 02:17:23.000000,2019-10-02 23:26:11.000000,447,82.0,67.0,1579.0,132.0,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,7.0,18,False,2019-10-02 23:30:15.000000,1.0.8,7.0,pyneuroner,,,,208.0,,,https://pypi.org/project/pyneuroner,2019-10-02 23:30:15.000000,,208.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n727,riko,nerevu/riko,,data-pipelines,https://github.com/nerevu/riko,https://github.com/nerevu/riko,MIT,2016-06-02 12:22:51.000000,2020-08-14 18:29:28.000000,2020-08-14 16:47:45.000000,72,22.0,8.0,1568.0,1257.0,A Python stream processing engine modeled after Yahoo! Pipes.,18.0,18,False,2020-08-14 18:29:28.000000,0.66.0,58.0,riko,,,,156.0,1.0,,https://pypi.org/project/riko,2020-08-14 18:29:28.000000,1.0,156.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n728,Antialiased CNNs,adobe/antialiased-cnns,,pytorch-utils,https://github.com/adobe/antialiased-cnns,https://github.com/adobe/antialiased-cnns,CC BY-NC-SA 4.0,2019-05-14 20:51:25.000000,2021-09-29 18:48:52.000000,2021-09-29 18:48:52.000000,185,11.0,31.0,1454.0,239.0,pip install antialiased-cnns to improve stability and accuracy.,6.0,18,False,2020-10-23 22:45:52.000000,0.3,6.0,antialiased-cnns,,['pytorch'],,840.0,11.0,11.0,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49.000000,0.0,840.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n729,Optimus,hi-primus/optimus,,data-pipelines,https://github.com/hi-primus/optimus,https://github.com/hi-primus/optimus,Apache-2.0,2017-07-13 02:31:18.000000,2021-12-02 14:02:14.000000,2021-12-02 14:02:04.000000,205,32.0,192.0,1140.0,1.0,\"Agile Data Preparation Workflows madeeasy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark.\",25.0,18,True,2020-07-19 03:05:40.000000,2.2.32,85.0,optimuspyspark,,['spark'],,3388.0,,,https://pypi.org/project/optimuspyspark,2019-05-30 02:22:54.000000,,3388.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n730,sklearn-porter,nok/sklearn-porter,,model-serialisation,https://github.com/nok/sklearn-porter,https://github.com/nok/sklearn-porter,MIT,2016-06-22 22:21:34.000000,2021-11-23 15:46:59.000000,2019-12-18 13:31:50.000000,140,42.0,29.0,1105.0,699.0,\"Transpile trained scikit-learn estimators to C, Java, JavaScript and others.\",11.0,18,False,2019-12-18 13:39:19.000000,0.7.4,20.0,sklearn-porter,,['sklearn'],,362.0,1.0,,https://pypi.org/project/sklearn-porter,2019-12-18 13:39:19.000000,1.0,362.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n731,Sockeye,awslabs/sockeye,,nlp,https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30.000000,2021-12-01 11:33:39.000000,2021-12-01 11:33:35.000000,303,15.0,247.0,1031.0,,Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch.,54.0,18,True,2021-11-30 09:51:37.000000,3.0.0,67.0,sockeye,,['mxnet'],12.0,391.0,2.0,,https://pypi.org/project/sockeye,2021-11-30 09:51:37.000000,2.0,391.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n732,Fiber,uber/fiber,,distributed-ml,https://github.com/uber/fiber,https://github.com/uber/fiber,Apache-2.0,2020-01-07 18:16:24.000000,2021-06-30 02:02:42.000000,2021-03-15 07:00:08.000000,102,20.0,8.0,947.0,66.0,Distributed Computing for AI Made Simple.,5.0,18,True,2020-07-09 03:28:28.000000,0.2.1,6.0,fiber,,,,1982.0,30.0,29.0,https://pypi.org/project/fiber,2020-07-09 03:28:28.000000,1.0,1982.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n733,Hivemind,learning-at-home/hivemind,,distributed-ml,https://github.com/learning-at-home/hivemind,https://github.com/learning-at-home/hivemind,MIT,2020-02-27 13:50:19.000000,2021-12-02 14:31:37.000000,2021-12-02 14:31:35.000000,54,45.0,64.0,866.0,460.0,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,19.0,18,True,2021-08-26 08:49:41.000000,0.10.0,14.0,hivemind,,,,62.0,5.0,4.0,https://pypi.org/project/hivemind,2021-08-26 08:49:41.000000,1.0,62.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n734,pytorch2keras,gmalivenko/pytorch2keras,,model-serialisation,https://github.com/gmalivenko/pytorch2keras,https://github.com/gmalivenko/pytorch2keras,MIT,2017-11-16 20:21:43.000000,2021-09-28 21:39:06.000000,2021-08-06 08:18:46.000000,128,49.0,67.0,762.0,282.0,PyTorch to Keras model convertor.,13.0,18,True,2020-05-14 10:03:56.000000,0.2.4,23.0,pytorch2keras,,,,545.0,25.0,24.0,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56.000000,1.0,545.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n735,Performer Pytorch,lucidrains/performer-pytorch,,pytorch-utils,https://github.com/lucidrains/performer-pytorch,https://github.com/lucidrains/performer-pytorch,MIT,2020-10-03 03:41:36.000000,2021-11-07 01:03:14.000000,2021-11-07 01:02:14.000000,101,27.0,41.0,750.0,,\"An implementation of Performer, a linear attention-based transformer, in Pytorch.\",6.0,18,True,2021-11-07 01:03:14.000000,1.1.3,79.0,performer-pytorch,,['pytorch'],,1012.0,33.0,33.0,https://pypi.org/project/performer-pytorch,2021-11-07 01:03:14.000000,0.0,1012.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n736,Saliency,PAIR-code/saliency,,tensorflow-utils,https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35.000000,2021-07-28 22:22:28.000000,2021-07-28 22:22:27.000000,159,14.0,26.0,746.0,79.0,\"Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).\",14.0,18,True,2021-05-03 16:33:29.000000,0.1.3,10.0,saliency,,['tensorflow'],,743.0,21.0,19.0,https://pypi.org/project/saliency,2021-05-03 16:33:29.000000,2.0,743.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n737,Tez,abhishekkrthakur/tez,,pytorch-utils,https://github.com/abhishekkrthakur/tez,https://github.com/abhishekkrthakur/tez,Apache-2.0,2020-11-13 10:19:22.000000,2021-10-01 10:49:27.000000,2021-09-27 14:42:42.000000,104,15.0,10.0,725.0,,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,1.0,18,True,2021-08-16 18:42:17.000000,0.1.8,13.0,tez,,['pytorch'],,1226.0,17.0,17.0,https://pypi.org/project/tez,2021-08-16 12:38:36.000000,0.0,1226.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n738,avalanche,ContinualAI/avalanche,,others,https://github.com/ContinualAI/avalanche,https://github.com/ContinualAI/avalanche,MIT,2020-03-05 11:32:13.000000,2021-12-02 11:09:25.000000,2021-12-01 09:12:44.000000,103,71.0,373.0,672.0,2246.0,Avalanche: an End-to-End Library for Continual Learning.,46.0,18,True,2021-11-05 17:05:51.000000,0.1.0,2.0,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n739,AlphaPy,ScottfreeLLC/AlphaPy,,hyperopt,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32.000000,2021-10-23 07:17:16.000000,2021-10-23 07:17:16.000000,139,11.0,29.0,663.0,413.0,\"Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost.\",3.0,18,True,2020-08-29 18:48:20.000000,2.5.0,25.0,alphapy,,,,293.0,3.0,3.0,https://pypi.org/project/alphapy,2020-08-29 18:44:15.000000,,293.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n740,whylogs,whylabs/whylogs,,data-pipelines,https://github.com/whylabs/whylogs,https://github.com/whylabs/whylogs,Apache-2.0,2020-08-14 23:25:32.000000,2021-12-02 14:35:34.000000,2021-12-01 20:42:05.000000,32,36.0,58.0,636.0,,Open standard for end-to-end data and ML monitoring for any scale in any infrastructure.,22.0,18,True,2021-11-30 21:09:07.000000,0.6.15,104.0,whylogs,,,47.0,2162.0,,,https://pypi.org/project/whylogs,2021-11-30 21:09:07.000000,,2160.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n741,robustness,MadryLab/robustness,,adversarial,https://github.com/MadryLab/robustness,https://github.com/MadryLab/robustness,MIT,2019-08-21 09:26:33.000000,2021-11-30 00:11:07.000000,2021-11-30 00:11:07.000000,117,12.0,54.0,628.0,141.0,\"A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.\",13.0,18,True,2020-12-01 06:11:12.000000,1.2.1.post2,10.0,robustness,,,,624.0,68.0,66.0,https://pypi.org/project/robustness,2020-12-01 06:21:33.000000,2.0,624.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n742,tcav,tensorflow/tcav,,interpretability,https://github.com/tensorflow/tcav,https://github.com/tensorflow/tcav,Apache-2.0,2018-07-03 17:45:35.000000,2021-11-10 19:43:31.000000,2021-09-16 17:56:31.000000,116,3.0,52.0,497.0,171.0,Code for the TCAV ML interpretability project.,19.0,18,True,2021-02-23 16:17:42.000000,0.2.2,4.0,tcav,,['tensorflow'],,110.0,13.0,11.0,https://pypi.org/project/tcav,2021-02-23 16:17:42.000000,2.0,110.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n743,N2,kakao/n2,,nn-search,https://github.com/kakao/n2,https://github.com/kakao/n2,Apache-2.0,2017-11-23 02:27:59.000000,2021-05-20 05:41:36.000000,2021-05-20 05:39:44.000000,61,17.0,20.0,496.0,242.0,TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets.,18.0,18,True,2020-10-16 03:43:47.000000,0.1.7,9.0,n2,,,,496.0,25.0,21.0,https://pypi.org/project/n2,2020-10-16 03:10:01.000000,4.0,496.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n744,seglearn,dmbee/seglearn,,time-series-data,https://github.com/dmbee/seglearn,https://github.com/dmbee/seglearn,BSD-3-Clause,2018-03-05 20:53:59.000000,2021-03-13 16:18:30.000000,2021-03-12 17:12:50.000000,52,5.0,23.0,481.0,268.0,Python module for machine learning time series:.,13.0,18,True,2021-03-13 16:18:30.000000,1.2.3,22.0,seglearn,,,,1045.0,12.0,11.0,https://pypi.org/project/seglearn,2021-03-13 16:18:30.000000,1.0,1045.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n745,LOFO,aerdem4/lofo-importance,,interpretability,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46.000000,2021-10-04 13:21:59.000000,2021-10-04 13:20:39.000000,49,4.0,13.0,423.0,26.0,Leave One Feature Out Importance.,3.0,18,True,2021-10-04 13:21:59.000000,0.3.1,11.0,lofo-importance,,,,428.0,6.0,6.0,https://pypi.org/project/lofo-importance,2021-10-04 13:21:59.000000,,428.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n746,animatplot,t-makaro/animatplot,,data-viz,https://github.com/t-makaro/animatplot,https://github.com/t-makaro/animatplot,MIT,2017-04-03 00:54:04.000000,2021-04-07 10:46:25.000000,2020-10-05 06:14:18.000000,35,17.0,17.0,386.0,178.0,A python package for animating plots build on matplotlib.,7.0,18,False,2020-10-05 06:20:52.000000,0.4.2,10.0,animatplot,conda-forge/animatplot,,,399.0,31.0,29.0,https://pypi.org/project/animatplot,2020-10-05 06:20:52.000000,2.0,190.0,https://anaconda.org/conda-forge/animatplot,2020-10-06 02:02:00.460000,7111.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n747,tick,X-DataInitiative/tick,,time-series-data,https://github.com/X-DataInitiative/tick,https://github.com/X-DataInitiative/tick,BSD-3-Clause,2016-12-01 10:59:08.000000,2020-08-11 12:36:43.000000,2020-06-15 12:01:36.000000,80,55.0,164.0,362.0,413.0,\"Module for statistical learning, with a particular emphasis on time-dependent modelling.\",16.0,18,False,2019-09-11 11:25:15.000000,0.6,23.0,tick,,,188.0,806.0,45.0,44.0,https://pypi.org/project/tick,2020-05-24 22:01:17.000000,1.0,803.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n748,Auto ViML,AutoViML/Auto_ViML,,hyperopt,https://github.com/AutoViML/Auto_ViML,https://github.com/AutoViML/Auto_ViML,Apache-2.0,2019-06-10 13:09:15.000000,2021-07-25 14:31:54.000000,2021-07-25 14:30:59.000000,70,4.0,14.0,309.0,292.0,Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome...,6.0,18,True,2021-05-17 02:25:55.000000,0.1.682,132.0,autoviml,,,,1078.0,15.0,15.0,https://pypi.org/project/autoviml,2021-07-25 14:31:54.000000,0.0,1078.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n749,Sherpa,sherpa-ai/sherpa,,hyperopt,https://github.com/sherpa-ai/sherpa,https://github.com/sherpa-ai/sherpa,GPL-3.0,2018-05-16 21:41:54.000000,2020-10-18 07:57:50.000000,2020-10-18 07:57:48.000000,48,14.0,41.0,307.0,823.0,\"Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.\",43.0,18,False,2020-07-31 05:29:09.000000,1.0.7,8.0,parameter-sherpa,,,,308.0,18.0,16.0,https://pypi.org/project/parameter-sherpa,2019-11-23 21:32:27.000000,2.0,308.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n750,elegy,poets-ai/elegy,,ml-frameworks,https://github.com/poets-ai/elegy,https://github.com/poets-ai/elegy,MIT,2020-06-30 14:00:37.000000,2021-11-16 03:15:56.000000,2021-11-16 03:15:56.000000,21,28.0,62.0,293.0,319.0,A High Level API for Deep Learning in JAX.,14.0,18,False,2021-11-08 21:19:03.000000,0.8.1,25.0,elegy,,\"['tensorflow', 'jax']\",,473.0,,,https://pypi.org/project/elegy,2021-11-08 21:19:03.000000,,473.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n751,Julius,adefossez/julius,,audio,https://github.com/adefossez/julius,https://github.com/adefossez/julius,MIT,2020-10-26 10:54:21.000000,2021-10-20 08:30:11.000000,2021-10-20 08:28:45.000000,12,3.0,6.0,239.0,,Fast PyTorch based DSP for audio and 1D signals.,2.0,18,False,2021-10-20 08:30:11.000000,0.2.6,10.0,julius,,['pytorch'],,6058.0,48.0,48.0,https://pypi.org/project/julius,2021-10-20 08:30:11.000000,0.0,6058.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n752,skift,shaypal5/skift,,nlp,https://github.com/shaypal5/skift,https://github.com/shaypal5/skift,MIT,2018-02-03 11:37:21.000000,2021-10-10 22:59:31.000000,2021-03-31 10:11:20.000000,22,2.0,9.0,223.0,129.0,scikit-learn wrappers for Python fastText.,7.0,18,False,2020-08-27 15:01:05.000000,0.0.19,15.0,skift,,['sklearn'],,365.0,10.0,10.0,https://pypi.org/project/skift,2020-08-27 15:01:05.000000,,365.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n753,skggm,skggm/skggm,,sklearn-utils,https://github.com/skggm/skggm,https://github.com/skggm/skggm,MIT,2016-06-11 18:35:56.000000,2021-10-01 04:11:05.000000,2020-12-24 05:43:15.000000,34,28.0,47.0,189.0,691.0,Scikit-learn compatible estimation of general graphical models.,5.0,18,False,2018-09-12 01:12:49.000000,0.2.8,6.0,skggm,,['sklearn'],,71.0,10.0,8.0,https://pypi.org/project/skggm,2018-09-12 01:12:49.000000,2.0,71.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n754,textaugment,dsfsi/textaugment,,nlp,https://github.com/dsfsi/textaugment,https://github.com/dsfsi/textaugment,MIT,2019-05-06 12:28:19.000000,2021-09-15 07:35:53.000000,2021-09-15 07:35:53.000000,33,10.0,13.0,187.0,60.0,TextAugment: Text Augmentation Library.,5.0,18,False,2020-11-05 15:04:26.000000,1.3.4,8.0,textaugment,,,53.0,2149.0,12.0,12.0,https://pypi.org/project/textaugment,2020-11-05 15:02:11.000000,,2148.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n755,BatchFlow,analysiscenter/batchflow,,data-pipelines,https://github.com/analysiscenter/batchflow,https://github.com/analysiscenter/batchflow,Apache-2.0,2017-03-13 14:22:53.000000,2021-11-15 12:26:36.000000,2021-11-15 12:19:59.000000,37,40.0,67.0,168.0,4868.0,BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and..,30.0,18,False,2021-06-10 10:54:52.000000,0.5.0,7.0,batchflow,,,,35.0,,,https://pypi.org/project/batchflow,2021-06-10 10:54:52.000000,,35.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n756,celer,mathurinm/celer,,sklearn-utils,https://github.com/mathurinm/celer,https://github.com/mathurinm/celer,BSD-3-Clause,2018-02-20 19:37:31.000000,2021-10-28 10:16:13.000000,2021-10-28 09:58:54.000000,23,13.0,55.0,127.0,,\"Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.\",9.0,18,False,2021-10-28 09:58:28.000000,0.6.1,11.0,celer,,['sklearn'],,1981.0,10.0,10.0,https://pypi.org/project/celer,2021-10-28 09:58:28.000000,,1981.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n757,DALI,NVIDIA/DALI,,gpu-utilities,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000000,2021-12-02 10:39:14.000000,2021-12-02 10:39:14.000000,451,146.0,922.0,3605.0,,A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to..,68.0,17,True,2021-11-22 18:51:41.000000,1.8.0,46.0,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n758,ReAgent,facebookresearch/ReAgent,,reinforcement-learning,https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000000,2021-12-02 09:24:51.000000,2021-12-02 09:24:27.000000,426,41.0,75.0,3065.0,1339.0,\"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).\",122.0,17,True,,,,,,['pytorch'],,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n759,Spotlight,maciejkula/spotlight,,recommender-systems,https://github.com/maciejkula/spotlight,https://github.com/maciejkula/spotlight,MIT,2017-06-25 18:52:19.000000,2020-11-15 08:21:28.000000,2020-02-09 21:03:48.000000,389,67.0,48.0,2611.0,299.0,Deep recommender models using PyTorch.,11.0,17,False,2019-09-08 10:19:53.000000,0.1.6,7.0,,maciejkula/spotlight,['pytorch'],,120.0,,,,,,,https://anaconda.org/maciejkula/spotlight,2018-05-27 18:32:12.235000,6521.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n760,opyrator,ml-tooling/opyrator,,others,https://github.com/ml-tooling/opyrator,https://github.com/ml-tooling/opyrator,MIT,2021-04-06 08:09:06.000000,2021-09-16 02:13:50.000000,2021-05-06 12:10:38.000000,106,14.0,22.0,2471.0,,\"Turns your machine learning code into microservices with web API, interactive GUI, and more.\",4.0,17,True,2021-05-04 18:48:03.000000,0.0.12,11.0,opyrator,,,,206.0,26.0,26.0,https://pypi.org/project/opyrator,2021-05-04 18:48:03.000000,,206.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n761,spark-deep-learning,databricks/spark-deep-learning,,data-pipelines,https://github.com/databricks/spark-deep-learning,https://github.com/databricks/spark-deep-learning,Apache-2.0,2017-05-31 17:30:28.000000,2021-09-26 02:36:04.000000,2021-08-19 02:08:33.000000,456,75.0,27.0,1896.0,136.0,Deep Learning Pipelines for Apache Spark.,16.0,17,True,2020-01-08 19:50:31.000000,1.6.0,9.0,,,['spark'],,,19.0,19.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n762,Mara Pipelines,mara/mara-pipelines,,data-pipelines,https://github.com/mara/mara-pipelines,https://github.com/mara/mara-pipelines,MIT,2018-03-31 20:37:22.000000,2021-10-27 08:01:17.000000,2021-09-18 06:45:18.000000,85,11.0,12.0,1835.0,141.0,\"A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow.\",16.0,17,True,2021-01-23 22:34:03.000000,3.1.2,7.0,mara-pipelines,,,,29.0,8.0,8.0,https://pypi.org/project/mara-pipelines,2021-01-23 22:34:03.000000,,29.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n763,BlazingSQL,BlazingDB/blazingsql,,gpu-utilities,https://github.com/BlazingDB/blazingsql,https://github.com/BlazingDB/blazingsql,Apache-2.0,2018-09-24 18:25:45.000000,2021-10-08 18:42:47.000000,2021-09-30 21:51:09.000000,160,129.0,585.0,1648.0,,\"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.\",47.0,17,True,2021-08-16 15:40:43.000000,21.08.00,19.0,,blazingsql/blazingsql-protocol,,,34.0,,,,,,,https://anaconda.org/blazingsql/blazingsql-protocol,2019-11-11 19:54:17.621000,938.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n764,Advisor,tobegit3hub/advisor,,hyperopt,https://github.com/tobegit3hub/advisor,https://github.com/tobegit3hub/advisor,Apache-2.0,2017-09-14 03:50:33.000000,2019-11-11 07:09:57.869705,2019-11-11 06:59:31.000000,254,20.0,13.0,1414.0,165.0,Open-source implementation of Google Vizier for hyper parameters tuning.,11.0,17,False,2018-10-18 02:54:09.000000,0.1.6,4.0,advisor,,,,111.0,,,https://pypi.org/project/advisor,2018-10-18 02:54:09.000000,,79.0,,,,3.0,,tobegit3hub/advisor,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1635.0,,,,,,,,,,,,,,,,,,,,\n765,zenml,maiot-io/zenml,,data-pipelines,https://github.com/zenml-io/zenml,https://github.com/zenml-io/zenml,Apache-2.0,2020-11-19 09:25:46.000000,2021-12-02 15:23:41.000000,2021-12-02 15:10:04.000000,79,4.0,45.0,1400.0,,ZenML : MLOps framework to create reproducible ML pipelines for production machine learning.,19.0,17,True,2021-11-23 12:23:25.000000,0.5.3,40.0,zenml,,,,393.0,,,https://pypi.org/project/zenml,2021-11-23 12:26:22.000000,,393.0,,,,3.0,,,,,,,,,,,,,,,,zenml-io/zenml,,,,,,,,,,\n766,AdvBox,advboxes/AdvBox,,adversarial,https://github.com/advboxes/AdvBox,https://github.com/advboxes/AdvBox,Apache-2.0,2018-08-08 08:55:41.000000,2021-09-08 00:05:01.000000,2021-05-03 22:51:52.000000,237,8.0,29.0,1176.0,375.0,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,19.0,17,True,2018-12-05 02:48:50.000000,0.4.1,2.0,advbox,,,,46.0,,,https://pypi.org/project/advbox,2018-12-05 02:48:50.000000,,46.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n767,DIG,divelab/DIG,,graph,https://github.com/divelab/DIG,https://github.com/divelab/DIG,GPL-3.0,2020-10-30 03:51:15.000000,2021-11-30 18:55:43.000000,2021-11-30 18:55:35.000000,121,1.0,55.0,966.0,,A library for graph deep learning research.,28.0,17,False,2021-10-13 00:38:18.000000,0.1.2,10.0,dig,,,,318.0,8.0,,https://pypi.org/project/dig,2015-08-23 10:30:20.000000,8.0,318.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n768,Bounter,RaRe-Technologies/bounter,,data-containers,https://github.com/RaRe-Technologies/bounter,https://github.com/RaRe-Technologies/bounter,MIT,2017-07-18 07:24:15.000000,2021-09-19 00:43:46.000000,2021-05-24 07:29:54.000000,48,14.0,9.0,930.0,156.0,Efficient Counter that uses a limited (bounded) amount of memory regardless of data size.,8.0,17,True,2020-08-17 06:37:51.000000,1.1.1,7.0,bounter,,,,72.0,39.0,25.0,https://pypi.org/project/bounter,2020-08-17 06:37:51.000000,14.0,72.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n769,ecco,jalammar/ecco,,interpretability,https://github.com/jalammar/ecco,https://github.com/jalammar/ecco,BSD-3-Clause,2020-11-07 10:06:34.000000,2021-11-29 18:36:08.000000,2021-10-29 13:14:11.000000,58,12.0,11.0,928.0,,Visualize and explore NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks..,6.0,17,True,2021-08-02 08:50:55.000000,0.0.15,15.0,ecco,,['pytorch'],2.0,421.0,3.0,3.0,https://pypi.org/project/ecco,2021-08-02 08:50:55.000000,0.0,421.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n770,iNNvestigate,albermax/innvestigate,,interpretability,https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20.000000,2021-08-03 15:45:16.000000,2021-08-03 15:45:16.000000,197,71.0,163.0,918.0,943.0,A toolbox to iNNvestigate neural networks' predictions!.,19.0,17,True,2020-11-14 11:35:59.000000,1.0.9,2.0,innvestigate,,['tensorflow'],,296.0,1.0,,https://pypi.org/project/innvestigate,2020-11-14 11:35:59.000000,1.0,296.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n771,ADTK,arundo/adtk,,time-series-data,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22.000000,2021-07-18 06:52:12.000000,2020-04-17 02:27:44.000000,94,26.0,34.0,755.0,78.0,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,11.0,17,False,2020-04-17 02:18:00.000000,0.6.2,13.0,adtk,,,,42969.0,,,https://pypi.org/project/adtk,2020-04-17 02:18:00.000000,,42969.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n772,Vulkan Kompute,EthicalML/vulkan-kompute,,gpu-utilities,https://github.com/KomputeProject/kompute,https://github.com/KomputeProject/kompute,Apache-2.0,2020-07-29 05:23:33.000000,2021-11-17 08:24:46.000000,2021-11-17 08:24:46.000000,49,51.0,106.0,615.0,964.0,\"General purpose GPU compute framework for cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast,..\",16.0,17,True,2021-09-16 04:09:57.000000,0.8.0,12.0,kp,,,102.0,79.0,2.0,2.0,https://pypi.org/project/kp,2021-09-15 06:20:19.000000,,73.0,,,,3.0,,,,,,,,,,,,,,,,KomputeProject/kompute,,,,,,,,,,\n773,nboost,koursaros-ai/nboost,,nlp,https://github.com/koursaros-ai/nboost,https://github.com/koursaros-ai/nboost,Apache-2.0,2019-10-29 20:56:24.000000,2020-09-30 14:51:16.000000,2020-07-16 19:48:25.000000,65,29.0,50.0,599.0,1336.0,\"NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search..\",10.0,17,False,2020-06-12 20:05:15.000000,0.3.9,26.0,nboost,,,,50.0,3.0,3.0,https://pypi.org/project/nboost,2020-06-12 20:05:15.000000,,50.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n774,TF Compression,tensorflow/compression,,tensorflow-utils,https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19.000000,2021-10-27 09:21:15.000000,2021-10-26 22:08:24.000000,196,2.0,73.0,548.0,175.0,Data compression in TensorFlow.,10.0,17,True,2021-05-14 00:38:32.000000,2.2,11.0,tensorflow-compression,,['tensorflow'],,513.0,1.0,,https://pypi.org/project/tensorflow-compression,2021-05-14 00:25:53.000000,1.0,513.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n775,SKLL,EducationalTestingService/skll,,ml-experiments,https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,BSD-1-Clause,2013-08-02 14:31:46.000000,2021-11-30 19:46:29.000000,2021-11-30 19:46:15.000000,65,45.0,350.0,527.0,,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,35.0,17,False,2021-02-26 03:01:01.000000,2.5,64.0,skll,,['sklearn'],11.0,319.0,67.0,33.0,https://pypi.org/project/skll,2020-03-13 16:23:35.000000,34.0,319.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n776,Submit it,facebookincubator/submitit,,distributed-ml,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09.000000,2021-11-30 13:57:53.000000,2021-11-30 13:24:17.000000,43,25.0,31.0,507.0,,Python 3.6+ toolbox for submitting jobs to Slurm.,16.0,17,True,2021-11-30 13:57:53.000000,1.4.1,15.0,submitit,conda-forge/submitit,,,7254.0,0.0,,https://pypi.org/project/submitit,2021-11-30 13:57:53.000000,0.0,6944.0,https://anaconda.org/conda-forge/submitit,2021-02-10 12:48:57.745000,4962.0,3.0,,,,,,,-5.0,,,,,,,,,,,,,,,,,,,\n777,Baal,ElementAI/baal,,probabilistics,https://github.com/ElementAI/baal,https://github.com/ElementAI/baal,Apache-2.0,2019-09-30 20:16:26.000000,2021-12-01 20:45:08.000000,2021-11-24 20:30:45.000000,45,16.0,43.0,475.0,143.0,Library to enable Bayesian active learning in your research or labeling work.,11.0,17,True,2021-10-12 17:54:54.000000,1.4.0,11.0,baal,,,,403.0,0.0,,https://pypi.org/project/baal,2021-10-12 17:53:39.000000,0.0,403.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n778,kale,kubeflow-kale/kale,,data-pipelines,https://github.com/kubeflow-kale/kale,https://github.com/kubeflow-kale/kale,Apache-2.0,2019-01-24 17:58:44.000000,2021-11-09 16:15:00.000000,2021-10-20 12:44:09.000000,88,83.0,71.0,463.0,644.0,Kubeflows superfood for Data Scientists.,10.0,17,True,2021-05-19 12:56:53.000000,0.7.0,15.0,kubeflow-kale,,['jupyter'],,665.0,,,https://pypi.org/project/kubeflow-kale,2021-05-19 12:56:53.000000,,665.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n779,BioPandas,rasbt/biopandas,,others,https://github.com/rasbt/biopandas,https://github.com/rasbt/biopandas,BSD-3-Clause,2015-11-21 00:00:14.000000,2021-09-24 00:14:13.000000,2021-09-24 00:11:37.000000,89,15.0,24.0,396.0,,Working with molecular structures in pandas DataFrames.,8.0,17,True,2021-08-30 11:52:40.000000,0.2.9,14.0,biopandas,conda-forge/biopandas,['pandas'],,2774.0,6.0,,https://pypi.org/project/biopandas,2021-09-24 00:14:13.000000,6.0,1241.0,https://anaconda.org/conda-forge/biopandas,2021-08-31 18:19:35.536000,91980.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n780,Sematch,gsi-upm/sematch,,graph,https://github.com/gsi-upm/sematch,https://github.com/gsi-upm/sematch,Apache-2.0,2012-11-30 11:11:53.000000,2020-11-05 21:20:52.000000,2019-03-27 03:17:24.000000,101,14.0,19.0,367.0,122.0,semantic similarity framework for knowledge graph.,5.0,17,False,2017-04-17 10:56:52.000000,1.0.4,5.0,sematch,,,,166.0,32.0,29.0,https://pypi.org/project/sematch,2017-04-17 10:56:52.000000,3.0,166.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n781,Camphr,PKSHATechnology-Research/camphr,,nlp,https://github.com/PKSHATechnology-Research/camphr,https://github.com/PKSHATechnology-Research/camphr,Apache-2.0,2020-02-10 03:39:58.000000,2021-08-18 06:06:52.000000,2021-08-18 06:06:51.000000,17,2.0,25.0,342.0,1404.0,Camphr - NLP libary for creating pipeline components.,7.0,17,True,2021-07-28 07:48:46.000000,0.10.0,48.0,camphr,,['spacy'],,317.0,0.0,,https://pypi.org/project/camphr,2021-07-28 07:48:46.000000,0.0,317.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n782,bodywork-core,bodywork-ml/bodywork-core,,data-pipelines,https://github.com/bodywork-ml/bodywork-core,https://github.com/bodywork-ml/bodywork-core,AGPL-3.0,2020-11-17 11:38:17.000000,2021-11-21 16:03:07.000000,2021-07-05 08:09:48.000000,14,12.0,43.0,308.0,467.0,\"ML pipeline orchestration and model deployments on Kubernetes, made really easy.\",4.0,17,False,2021-07-05 08:15:59.000000,2.1.7,45.0,bodywork,,,,189.0,9.0,9.0,https://pypi.org/project/bodywork,2021-07-05 08:15:59.000000,,189.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n783,solt,MIPT-Oulu/solt,,image,https://github.com/MIPT-Oulu/solt,https://github.com/MIPT-Oulu/solt,MIT,2018-08-02 15:09:05.000000,2021-10-12 22:58:52.000000,2020-04-09 06:44:39.000000,19,17.0,30.0,251.0,336.0,Streaming over lightweight data transformations.,4.0,17,False,2020-03-10 14:09:31.000000,0.1.9,18.0,solt,,,,87.0,27.0,24.0,https://pypi.org/project/solt,2020-03-10 14:09:31.000000,3.0,87.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n784,DeepGraph,deepgraph/deepgraph,,graph,https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45.000000,2021-11-08 16:53:47.290000,2021-06-14 10:58:10.000000,36,9.0,5.0,246.0,162.0,Analyze Data with Pandas-based Networks. Documentation:.,2.0,17,False,2020-10-01 13:20:38.000000,0.2.3,13.0,deepgraph,conda-forge/deepgraph,['pandas'],,2466.0,2.0,2.0,https://pypi.org/project/deepgraph,2020-10-01 13:18:38.000000,,291.0,https://anaconda.org/conda-forge/deepgraph,2021-11-08 16:53:47.290000,113136.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n785,launchpad,deepmind/launchpad,,distributed-ml,https://github.com/deepmind/launchpad,https://github.com/deepmind/launchpad,Apache-2.0,2021-02-18 15:16:49.000000,2021-12-01 17:25:22.000000,2021-12-01 17:24:36.000000,16,1.0,16.0,237.0,198.0,Launchpad is a library that simplifies writing distributed programs and seamlessly launching them on a range of..,13.0,17,False,2021-11-09 09:39:17.000000,0.3.2,5.0,dm-launchpad,,['tensorflow'],,789.0,1.0,1.0,https://pypi.org/project/dm-launchpad,2021-11-09 09:39:17.000000,,789.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n786,fastT5,Ki6an/fastT5,,nlp,https://github.com/Ki6an/fastT5,https://github.com/Ki6an/fastT5,Apache-2.0,2021-03-11 08:46:42.000000,2021-11-28 10:38:49.000000,2021-11-28 10:38:49.000000,25,12.0,14.0,232.0,19.0,boost inference speed of T5 models by 5x & reduce the model size by 3x.,4.0,17,False,2021-09-02 06:35:26.000000,0.0.7,7.0,fastt5,,,,512.0,5.0,5.0,https://pypi.org/project/fastt5,2021-09-02 06:35:26.000000,,512.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n787,Muda,bmcfee/muda,,audio,https://github.com/bmcfee/muda,https://github.com/bmcfee/muda,ISC,2014-11-07 21:21:22.000000,2021-05-03 14:04:37.000000,2021-05-03 14:04:36.000000,34,5.0,44.0,196.0,293.0,A library for augmenting annotated audio data.,7.0,17,False,2019-11-15 15:46:21.000000,0.4.1,11.0,muda,,,,106.0,14.0,13.0,https://pypi.org/project/muda,2019-11-15 15:46:21.000000,1.0,106.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n788,nx-altair,Zsailer/nx_altair,,data-viz,https://github.com/Zsailer/nx_altair,https://github.com/Zsailer/nx_altair,MIT,2018-05-13 00:10:12.000000,2020-09-30 12:01:08.000000,2020-06-02 21:10:26.000000,21,6.0,4.0,180.0,51.0,Draw interactive NetworkX graphs with Altair.,3.0,17,False,2020-06-02 21:11:12.000000,0.1.6,8.0,nx-altair,,['jupyter'],,2382.0,4.0,,https://pypi.org/project/nx-altair,2020-06-02 21:11:12.000000,4.0,2382.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n789,Larq Compute Engine,larq/compute-engine,,model-serialisation,https://github.com/larq/compute-engine,https://github.com/larq/compute-engine,Apache-2.0,2019-08-29 15:02:43.000000,2021-12-02 12:52:25.000000,2021-11-24 09:03:00.000000,27,21.0,113.0,174.0,,Highly optimized inference engine for Binarized Neural Networks.,17.0,17,False,2021-09-08 21:44:17.000000,0.6.2,15.0,larq-compute-engine,,,320.0,412.0,4.0,4.0,https://pypi.org/project/larq-compute-engine,2021-09-08 21:44:17.000000,,398.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n790,DE⫶TR,facebookresearch/detr,,image,https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52.000000,2021-11-28 09:13:56.000000,2021-10-18 10:06:31.000000,1354,130.0,266.0,7998.0,42.0,End-to-End Object Detection with Transformers.,24.0,16,True,2020-06-29 16:41:01.000000,0.2,1.0,,,['pytorch'],,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n791,DeepMind Lab,deepmind/lab,,reinforcement-learning,https://github.com/deepmind/lab,https://github.com/deepmind/lab,GPL-2.0,2016-11-30 13:41:26.000000,2021-11-01 21:58:46.000000,2021-07-21 17:50:32.000000,1323,50.0,159.0,6580.0,488.0,A customisable 3D platform for agent-based AI research.,7.0,16,False,2020-12-07 11:26:33.000000,release-2020-12-07,8.0,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n792,tinygrad,geohot/tinygrad,,pytorch-utils,https://github.com/geohot/tinygrad,https://github.com/geohot/tinygrad,MIT,2020-10-18 16:23:12.000000,2021-12-01 18:30:04.000000,2021-11-30 21:25:37.000000,566,21.0,81.0,5090.0,640.0,You like pytorch? You like micrograd? You love tinygrad!.,52.0,16,True,,,,,,['pytorch'],,,1.0,1.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n793,GraphEmbedding,shenweichen/GraphEmbedding,,graph,https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20.000000,2021-10-08 04:42:07.000000,2020-10-18 09:32:47.000000,727,38.0,14.0,2424.0,28.0,Implementation and experiments of graph embedding algorithms.,8.0,16,False,,,,,,['sklearn'],,,12.0,12.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n794,automl-gs,minimaxir/automl-gs,,hyperopt,https://github.com/minimaxir/automl-gs,https://github.com/minimaxir/automl-gs,MIT,2019-01-13 18:57:44.000000,2019-10-22 11:20:40.000000,2019-04-05 06:48:14.000000,164,26.0,6.0,1763.0,102.0,\"Provide an input CSV and a target field to predict, generate a model + code to run it.\",7.0,16,False,2019-04-05 06:51:04.000000,0.2.1,2.0,automl_gs,,,27.0,28.0,,,https://pypi.org/project/automl_gs,2019-04-05 06:47:54.000000,,28.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n795,keepsake,replicate/keepsake,,ml-experiments,https://github.com/replicate/keepsake,https://github.com/replicate/keepsake,Apache-2.0,2020-07-01 04:37:44.000000,2021-12-01 23:21:13.000000,2021-05-07 00:33:52.000000,59,123.0,64.0,1527.0,,Version control for machine learning.,16.0,16,True,2021-03-11 21:15:01.000000,0.4.2,7.0,keepsake,,,,682.0,,,https://pypi.org/project/keepsake,2021-03-11 21:15:01.000000,,682.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n796,Lambda Networks,lucidrains/lambda-networks,,pytorch-utils,https://github.com/lucidrains/lambda-networks,https://github.com/lucidrains/lambda-networks,MIT,2020-10-08 19:01:15.000000,2020-11-18 19:54:34.000000,2020-11-18 19:54:30.000000,150,12.0,15.0,1495.0,,\"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.\",3.0,16,False,2020-11-18 08:19:23.000000,0.4.0,11.0,lambda-networks,,['pytorch'],,72.0,3.0,3.0,https://pypi.org/project/lambda-networks,2020-11-18 08:19:23.000000,,72.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n797,Xcessiv,reiinakano/xcessiv,,hyperopt,https://github.com/reiinakano/xcessiv,https://github.com/reiinakano/xcessiv,Apache-2.0,2017-03-07 18:18:25.000000,2018-06-06 22:23:37.000000,2017-08-21 00:51:15.000000,109,22.0,13.0,1260.0,316.0,\"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.\",6.0,16,False,2017-08-21 00:53:25.000000,0.5.1,34.0,xcessiv,,,,48.0,2.0,1.0,https://pypi.org/project/xcessiv,2017-08-21 00:49:41.000000,1.0,48.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n798,Botflow,kkyon/botflow,,data-pipelines,https://github.com/kkyon/botflow,https://github.com/kkyon/botflow,BSD-3-Clause,2018-08-20 03:13:31.000000,2020-12-31 09:03:22.000000,2019-05-23 14:40:50.000000,100,2.0,2.0,1177.0,192.0,\"Python Fast Dataflow programming framework for Data pipeline work( Web Crawler,Machine Learning,Quantitative..\",11.0,16,False,2018-09-14 14:38:32.000000,0.2.0,5.0,botflow,,,,34.0,1.0,1.0,https://pypi.org/project/botflow,2018-09-14 14:38:32.000000,,34.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n799,cuGraph,rapidsai/cugraph,,gpu-utilities,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000000,2021-12-02 14:59:17.000000,2021-12-01 14:14:16.000000,164,87.0,662.0,867.0,,cuGraph - RAPIDS Graph Analytics Library.,70.0,16,True,2021-10-06 19:07:49.000000,21.10.00,16.0,cugraph,,,,145.0,0.0,,https://pypi.org/project/cugraph,2020-06-01 20:09:06.000000,0.0,145.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n800,MedicalTorch,perone/medicaltorch,,medical-data,https://github.com/perone/medicaltorch,https://github.com/perone/medicaltorch,Apache-2.0,2018-02-27 02:50:07.000000,2021-04-16 18:50:54.000000,2021-04-16 18:50:54.000000,111,14.0,9.0,756.0,57.0,A medical imaging framework for Pytorch.,8.0,16,True,2018-11-24 00:33:11.000000,0.2,2.0,medicaltorch,,['pytorch'],,152.0,11.0,11.0,https://pypi.org/project/medicaltorch,2018-11-24 00:29:36.000000,,152.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n801,SpeedTorch,Santosh-Gupta/SpeedTorch,,gpu-utilities,https://github.com/Santosh-Gupta/SpeedTorch,https://github.com/Santosh-Gupta/SpeedTorch,MIT,2019-09-07 18:57:52.000000,2020-02-21 23:13:29.000000,2020-02-21 23:13:28.000000,39,4.0,2.0,644.0,170.0,Library for faster pinned CPU - GPU transfer in Pytorch.,3.0,16,False,2020-01-06 05:27:17.000000,0.1.6,14.0,SpeedTorch,,['pytorch'],,66.0,5.0,3.0,https://pypi.org/project/SpeedTorch,2020-01-06 05:27:17.000000,2.0,66.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n802,ThunderGBM,Xtra-Computing/thundergbm,,ml-frameworks,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08.000000,2021-11-23 01:55:15.000000,2021-01-05 04:22:15.000000,80,30.0,29.0,614.0,606.0,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,10.0,16,True,2020-05-01 23:16:25.000000,0.3.16,24.0,thundergbm,,,,70.0,,,https://pypi.org/project/thundergbm,2020-05-01 23:16:25.000000,,70.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n803,textflint,textflint/textflint,,adversarial,https://github.com/textflint/textflint,https://github.com/textflint/textflint,GPL-3.0,2021-03-06 11:15:52.000000,2021-11-29 07:53:39.000000,2021-10-08 13:25:47.000000,78,1.0,21.0,522.0,169.0,Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing.,12.0,16,False,2021-08-30 06:41:29.000000,0.0.5,5.0,textflint,,,,96.0,2.0,2.0,https://pypi.org/project/textflint,2021-08-30 06:41:29.000000,,96.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n804,Auto Tune Models,HDI-Project/ATM,,hyperopt,https://github.com/HDI-Project/ATM,https://github.com/HDI-Project/ATM,MIT,2016-10-14 18:03:00.000000,2020-02-21 17:44:07.000000,2020-02-21 17:40:58.000000,129,17.0,71.0,513.0,775.0,\"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).\",16.0,16,False,2019-07-30 09:28:26.000000,0.2.2,14.0,atm,,,,104.0,8.0,8.0,https://pypi.org/project/atm,2019-07-30 09:25:11.000000,,104.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n805,pytorch_tabular,manujosephv/pytorch_tabular,,tabular,https://github.com/manujosephv/pytorch_tabular,https://github.com/manujosephv/pytorch_tabular,MIT,2020-12-15 07:17:03.000000,2021-11-26 07:02:00.000000,2021-10-07 10:17:15.000000,43,16.0,29.0,485.0,,A standard framework for modelling Deep Learning Models for tabular data.,4.0,16,True,2021-09-01 11:51:30.000000,0.7.0,8.0,pytorch_tabular,,['pytorch'],,435.0,,,https://pypi.org/project/pytorch_tabular,2021-09-01 11:51:30.000000,,435.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n806,kglib,vaticle/kglib,,graph,https://github.com/vaticle/kglib,https://github.com/vaticle/kglib,Apache-2.0,2018-09-16 16:46:48.000000,2021-10-22 14:09:11.000000,2021-10-22 14:09:00.000000,85,12.0,49.0,478.0,488.0,Grakn Knowledge Graph Library (ML R&D).,7.0,16,True,2020-08-19 15:39:10.000000,0.2.2,7.0,grakn-kglib,,,211.0,67.0,,,https://pypi.org/project/grakn-kglib,2020-08-19 15:39:10.000000,,61.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n807,OpenRec,ylongqi/openrec,,recommender-systems,https://github.com/ylongqi/openrec,https://github.com/ylongqi/openrec,Apache-2.0,2017-11-29 16:04:40.000000,2021-11-10 19:40:54.000000,2020-02-19 07:57:17.000000,84,5.0,12.0,390.0,213.0,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms.,11.0,16,False,2020-02-18 06:52:11.000000,0.3.0,12.0,openrec,,,,37.0,2.0,1.0,https://pypi.org/project/openrec,2020-02-18 06:52:11.000000,1.0,37.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n808,carefree-learn,carefree0910/carefree-learn,,tabular,https://github.com/carefree0910/carefree-learn,https://github.com/carefree0910/carefree-learn,MIT,2020-06-17 17:44:17.000000,2021-11-24 16:17:44.000000,2021-11-24 16:17:41.000000,30,,80.0,354.0,194.0,Deep Learning PyTorch.,1.0,16,True,2021-10-29 05:39:15.000000,0.2.1,20.0,carefree-learn,,['pytorch'],,91.0,2.0,2.0,https://pypi.org/project/carefree-learn,2021-10-29 05:36:03.000000,,91.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n809,pdvega,altair-viz/pdvega,,data-viz,https://github.com/altair-viz/pdvega,https://github.com/altair-viz/pdvega,MIT,2018-01-11 21:30:27.000000,2019-03-29 16:09:14.000000,2019-03-29 16:09:13.000000,30,16.0,10.0,338.0,177.0,Interactive plotting for Pandas using Vega-Lite.,9.0,16,False,,,1.0,pdvega,,,,100.0,66.0,59.0,https://pypi.org/project/pdvega,2018-02-01 04:56:43.000000,7.0,100.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n810,datmo,datmo/datmo,,ml-experiments,https://github.com/datmo/datmo,https://github.com/datmo/datmo,MIT,2017-11-03 05:46:43.000000,2021-06-01 22:48:33.000000,2019-11-29 00:48:44.000000,28,42.0,149.0,338.0,1051.0,Open source production model management tool for data scientists.,6.0,16,False,2018-12-07 06:16:42.000000,0.0.40,41.0,datmo,,,,92.0,5.0,5.0,https://pypi.org/project/datmo,2018-12-07 06:16:42.000000,,92.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n811,Parfit,jmcarpenter2/parfit,,hyperopt,https://github.com/jmcarpenter2/parfit,https://github.com/jmcarpenter2/parfit,MIT,2017-11-22 20:17:51.000000,2020-04-04 19:26:44.000000,2020-04-04 19:26:37.000000,25,6.0,5.0,199.0,127.0,\"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..\",2.0,16,False,,,23.0,parfit,,['sklearn'],,11635.0,9.0,9.0,https://pypi.org/project/parfit,2018-10-11 22:03:16.000000,,11635.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n812,lkpy,lenskit/lkpy,,recommender-systems,https://github.com/lenskit/lkpy,https://github.com/lenskit/lkpy,MIT,2018-06-08 21:05:10.000000,2021-11-12 01:30:50.433000,2021-11-08 21:58:32.000000,49,26.0,63.0,183.0,,Python recommendation toolkit.,13.0,16,False,2021-06-22 17:06:47.000000,0.13.1,20.0,lenskit,conda-forge/lenskit,,,1702.0,0.0,,https://pypi.org/project/lenskit,2021-06-22 17:07:09.000000,0.0,1127.0,https://anaconda.org/conda-forge/lenskit,2021-11-12 01:30:50.433000,7479.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n813,pyRDF2Vec,IBCNServices/pyRDF2Vec,,graph,https://github.com/IBCNServices/pyRDF2Vec,https://github.com/IBCNServices/pyRDF2Vec,MIT,2019-06-13 11:36:12.000000,2021-11-08 12:31:08.000000,2021-11-08 12:31:08.000000,23,3.0,39.0,133.0,1143.0,Python Implementation and Extension of RDF2Vec.,5.0,16,False,2021-06-09 10:56:14.000000,0.2.3,11.0,pyrdf2vec,,,,136.0,,,https://pypi.org/project/pyrdf2vec,2021-06-09 10:56:14.000000,,136.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n814,steppy,minerva-ml/steppy,,ml-experiments,https://github.com/minerva-ml/steppy,https://github.com/minerva-ml/steppy,MIT,2018-01-15 09:40:49.000000,2018-11-23 09:49:59.000000,2018-11-23 09:47:34.000000,33,16.0,50.0,132.0,69.0,\"Lightweight, Python library for fast and reproducible experimentation.\",5.0,16,False,2018-11-23 09:49:59.000000,0.1.16,16.0,steppy,,,,28.0,47.0,42.0,https://pypi.org/project/steppy,2018-11-23 09:49:59.000000,5.0,28.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n815,Feature Engine,solegalli/feature_engine,,others,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2020-08-06 19:43:35.639000,2021-11-09 20:33:15.000000,2021-08-06 12:03:40.000000,5,,,9.0,,Feature engineering package with sklearn like functionality.,24.0,16,False,2021-08-31 12:15:02.000000,1.1.2,28.0,feature_engine,conda-forge/feature_engine,,,42821.0,2.0,,https://pypi.org/project/feature_engine,2021-08-31 12:15:02.000000,2.0,42415.0,https://anaconda.org/conda-forge/feature_engine,2021-09-01 07:47:26.156000,6500.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n816,PySlowFast,facebookresearch/SlowFast,,image,https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26.000000,2021-11-03 07:05:48.000000,2021-10-28 14:20:52.000000,844,237.0,235.0,4377.0,,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,26.0,15,True,,,,,,['pytorch'],,,5.0,5.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n817,pycls,facebookresearch/pycls,,image,https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17.000000,2021-10-14 20:53:57.000000,2021-08-19 02:33:54.000000,201,20.0,54.0,1792.0,,\"Codebase for Image Classification Research, written in PyTorch.\",13.0,15,True,2021-05-21 00:29:47.000000,0.2,2.0,,,['pytorch'],,,4.0,4.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n818,torchsde,google-research/torchsde,,pytorch-utils,https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11.000000,2021-07-26 13:59:41.000000,2021-07-26 13:59:38.000000,92,7.0,34.0,877.0,157.0,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,5.0,15,True,2021-01-05 18:31:38.000000,0.2.4,4.0,,,['pytorch'],,,9.0,9.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n819,madgrad,facebookresearch/madgrad,,pytorch-utils,https://github.com/facebookresearch/madgrad,https://github.com/facebookresearch/madgrad,MIT,2021-01-12 19:41:06.000000,2021-08-20 18:31:57.000000,2021-08-20 18:31:57.000000,51,2.0,7.0,750.0,,MADGRAD Optimization Method.,1.0,15,True,,,2.0,madgrad,,['pytorch'],,3927.0,18.0,18.0,https://pypi.org/project/madgrad,2021-04-01 13:54:29.000000,,3927.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n820,Translate,pytorch/translate,,nlp,https://github.com/pytorch/translate,https://github.com/pytorch/translate,BSD-3-Clause,2018-04-24 16:44:04.000000,2021-10-06 18:21:48.000000,2021-10-06 18:21:42.000000,171,66.0,27.0,717.0,810.0,Translate - a PyTorch Language Library.,87.0,15,True,,,1.0,pytorch-translate,,['pytorch'],,6.0,,,https://pypi.org/project/pytorch-translate,2018-05-01 19:59:40.000000,,6.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n821,HyperparameterHunter,HunterMcGushion/hyperparameter_hunter,,hyperopt,https://github.com/HunterMcGushion/hyperparameter_hunter,https://github.com/HunterMcGushion/hyperparameter_hunter,MIT,2018-06-01 23:17:00.000000,2021-01-20 03:52:41.000000,2021-01-20 03:52:40.000000,87,37.0,84.0,678.0,1096.0,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries.,4.0,15,True,2019-08-06 09:09:45.000000,3.0.0,16.0,hyperparameter-hunter,,,329.0,67.0,2.0,,https://pypi.org/project/hyperparameter-hunter,2019-08-06 08:52:20.000000,2.0,59.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n822,Anchor,marcotcr/anchor,,interpretability,https://github.com/marcotcr/anchor,https://github.com/marcotcr/anchor,BSD-2-Clause,2018-02-02 23:38:50.000000,2021-11-17 21:38:50.000000,2021-11-17 21:38:50.000000,93,18.0,50.0,674.0,45.0,Code for High-Precision Model-Agnostic Explanations paper.,10.0,15,True,,,8.0,anchor_exp,,,,962.0,,,https://pypi.org/project/anchor_exp,2020-06-26 20:56:50.000000,,962.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n823,NeoML,neoml-lib/neoml,,ml-frameworks,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000000,2021-11-27 15:33:04.000000,2021-11-27 15:33:03.000000,98,28.0,22.0,656.0,481.0,Machine learning framework for both deep learning and traditional algorithms.,24.0,15,True,2021-06-22 05:25:53.000000,NeoML-master_2.0.5.0,2.0,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n824,FlashTorch,MisaOgura/flashtorch,,interpretability,https://github.com/MisaOgura/flashtorch,https://github.com/MisaOgura/flashtorch,MIT,2019-03-22 13:00:57.000000,2021-06-30 12:46:02.000000,2021-04-27 11:10:20.000000,75,10.0,22.0,633.0,127.0,Visualization toolkit for neural networks in PyTorch! Demo --.,2.0,15,True,2020-05-29 14:39:38.000000,0.1.3,12.0,flashtorch,,['pytorch'],,180.0,7.0,7.0,https://pypi.org/project/flashtorch,2020-05-29 14:38:32.000000,,180.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n825,atspy,firmai/atspy,,time-series-data,https://github.com/firmai/atspy,https://github.com/firmai/atspy,MIT,2020-01-28 05:00:10.000000,2021-08-30 13:03:29.000000,2021-08-30 13:03:29.000000,77,18.0,2.0,395.0,98.0,AtsPy: Automated Time Series Models in Python (by @firmai).,5.0,15,True,2020-11-12 16:10:48.000000,zen,39.0,atspy,,,,866.0,3.0,3.0,https://pypi.org/project/atspy,2020-04-24 18:16:15.000000,,866.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n826,tfdeploy,riga/tfdeploy,,model-serialisation,https://github.com/riga/tfdeploy,https://github.com/riga/tfdeploy,BSD-3-Clause,2016-03-07 13:08:21.000000,2021-01-08 09:52:54.000000,2021-01-08 09:52:49.000000,38,11.0,23.0,345.0,170.0,Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.,4.0,15,True,2017-03-30 10:51:26.000000,0.4.2,22.0,tfdeploy,,['tensorflow'],,41.0,2.0,,https://pypi.org/project/tfdeploy,2017-03-30 10:51:26.000000,2.0,41.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n827,TextBox,RUCAIBox/TextBox,,nlp,https://github.com/RUCAIBox/TextBox,https://github.com/RUCAIBox/TextBox,MIT,2020-11-08 07:35:46.000000,2021-12-01 01:14:03.000000,2021-12-01 01:14:02.000000,53,4.0,13.0,319.0,,TextBox is an open-source library for building text generation system.,11.0,15,True,2021-04-15 13:39:28.000000,0.2.1,10.0,textbox,,,,49.0,5.0,5.0,https://pypi.org/project/textbox,2021-04-15 09:35:06.000000,,49.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n828,data-describe,data-describe/data-describe,,data-viz,https://github.com/data-describe/data-describe,https://github.com/data-describe/data-describe,Apache-2.0,2020-05-04 17:58:14.000000,2021-11-30 05:04:57.000000,2021-11-19 06:05:15.000000,15,69.0,175.0,287.0,700.0,datadescribe: Pythonic EDA Accelerator for Data Science.,14.0,15,False,,,5.0,data-describe,,,,244.0,,,https://pypi.org/project/data-describe,2020-12-03 23:07:43.000000,,244.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n829,interpret-text,interpretml/interpret-text,,interpretability,https://github.com/interpretml/interpret-text,https://github.com/interpretml/interpret-text,MIT,2019-09-04 16:39:48.000000,2021-12-02 15:35:17.000000,2021-11-30 19:24:23.000000,53,55.0,16.0,285.0,144.0,A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the..,17.0,15,False,2020-05-20 23:42:32.000000,0.1.2,3.0,interpret-text,,['jupyter'],,83.0,,,https://pypi.org/project/interpret-text,2020-05-20 23:42:32.000000,,83.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n830,ExplainX.ai,explainX/explainx,,interpretability,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15.000000,2021-02-07 11:06:21.000000,2021-02-02 09:03:57.000000,37,10.0,17.0,249.0,184.0,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,4.0,15,False,2021-02-07 11:06:21.000000,2.407,56.0,explainx,,,2.0,350.0,,,https://pypi.org/project/explainx,2021-02-04 16:44:24.000000,,350.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n831,Headliner,as-ideas/headliner,,nlp,https://github.com/as-ideas/headliner,https://github.com/as-ideas/headliner,MIT,2019-09-30 11:33:28.000000,2021-03-26 07:19:57.000000,2020-02-14 09:03:27.000000,40,1.0,13.0,229.0,276.0,Easy training and deployment of seq2seq models.,2.0,15,False,2020-01-24 09:06:29.000000,1.0.2,30.0,headliner,,,,111.0,4.0,3.0,https://pypi.org/project/headliner,2020-01-24 09:06:29.000000,1.0,111.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n832,NeuralQA,victordibia/neuralqa,,nlp,https://github.com/victordibia/neuralqa,https://github.com/victordibia/neuralqa,MIT,2020-05-19 03:55:56.000000,2021-11-10 19:59:22.000000,2020-12-16 17:41:37.000000,31,31.0,8.0,216.0,312.0,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,3.0,15,False,,,27.0,neuralqa,,,,68.0,2.0,2.0,https://pypi.org/project/neuralqa,2020-09-18 17:54:50.000000,,68.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n833,dabl,amueller/dabl,,sklearn-utils,https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49.000000,2021-07-09 20:34:09.000000,2021-07-09 18:47:52.000000,9,1.0,,113.0,,Data Analysis Baseline Library.,21.0,15,False,2021-07-09 19:20:43.000000,0.2.2,12.0,dabl,,['sklearn'],,2016.0,,,https://pypi.org/project/dabl,2021-07-09 19:20:43.000000,,2016.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n834,OpenNRE,thunlp/OpenNRE,,nlp,https://github.com/thunlp/OpenNRE,https://github.com/thunlp/OpenNRE,MIT,2017-02-26 07:37:12.000000,2021-06-21 10:38:53.000000,2021-05-31 02:53:22.000000,894,21.0,315.0,3407.0,158.0,An Open-Source Package for Neural Relation Extraction (NRE).,9.0,14,True,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n835,Euler,alibaba/euler,,graph,https://github.com/alibaba/euler,https://github.com/alibaba/euler,Apache-2.0,2019-01-10 06:32:32.000000,2021-04-19 11:30:28.000000,2020-07-29 05:53:01.000000,536,213.0,102.0,2692.0,8.0,A distributed graph deep learning framework.,5.0,14,False,2020-07-07 02:24:18.000000,2.0.0,2.0,euler-gl,,['tensorflow'],,16.0,,,https://pypi.org/project/euler-gl,2019-04-10 01:53:45.000000,,16.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n836,ZhuSuan,thu-ml/zhusuan,,probabilistics,https://github.com/thu-ml/zhusuan,https://github.com/thu-ml/zhusuan,MIT,2016-07-18 13:31:38.000000,2020-01-09 14:51:27.000000,2019-08-05 10:00:04.000000,400,8.0,53.0,2087.0,439.0,\"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.\",20.0,14,False,,,,,,['tensorflow'],,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n837,micrograd,karpathy/micrograd,,pytorch-utils,https://github.com/karpathy/micrograd,https://github.com/karpathy/micrograd,MIT,2020-04-13 04:31:18.000000,2021-06-24 12:28:13.000000,2020-04-18 19:15:25.000000,143,2.0,3.0,1834.0,24.0,A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.,2.0,14,False,2020-04-18 19:06:59.000000,0.1.0,1.0,micrograd,,['pytorch'],,32.0,4.0,4.0,https://pypi.org/project/micrograd,2020-04-18 19:06:59.000000,0.0,32.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n838,Torch-Struct,harvardnlp/pytorch-struct,,pytorch-utils,https://github.com/harvardnlp/pytorch-struct,https://github.com/harvardnlp/pytorch-struct,MIT,2019-08-26 19:34:30.000000,2021-11-15 13:42:41.000000,2021-11-04 18:34:31.000000,76,21.0,28.0,1003.0,268.0,\"Fast, general, and tested differentiable structured prediction in PyTorch.\",13.0,14,True,2021-02-15 20:20:59.000000,0.5,2.0,,,['pytorch'],,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n839,AutoGL,THUMNLab/AutoGL,,graph,https://github.com/THUMNLab/AutoGL,https://github.com/THUMNLab/AutoGL,Apache-2.0,2020-11-30 14:26:22.000000,2021-12-02 07:08:42.000000,2021-11-23 02:46:46.000000,70,5.0,11.0,716.0,,An autoML framework & toolkit for machine learning on graphs.,9.0,14,True,2020-12-23 08:15:15.000000,0.1.1,2.0,auto-graph-learning,,['pytorch'],,41.0,,,https://pypi.org/project/auto-graph-learning,2020-12-23 08:05:25.000000,,41.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n840,cuSignal,rapidsai/cusignal,,gpu-utilities,https://github.com/rapidsai/cusignal,https://github.com/rapidsai/cusignal,Apache-2.0,2019-08-22 14:27:27.000000,2021-12-02 14:19:04.000000,2021-12-02 14:19:03.000000,79,15.0,110.0,549.0,,GPU accelerated signal processing.,36.0,14,True,2021-10-07 00:27:16.000000,21.10.00,10.0,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n841,PandaPy,firmai/pandapy,,data-containers,https://github.com/firmai/pandapy,https://github.com/firmai/pandapy,MIT,2020-01-15 18:21:23.000000,2021-10-20 11:36:04.000000,2021-10-20 11:36:04.000000,56,2.0,1.0,485.0,85.0,PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai).,3.0,14,True,2020-11-12 16:12:54.000000,zen,22.0,pandapy,,['pandas'],,39.0,1.0,1.0,https://pypi.org/project/pandapy,2020-01-25 23:10:32.000000,,39.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n842,deltapy,firmai/deltapy,,tabular,https://github.com/firmai/deltapy,https://github.com/firmai/deltapy,MIT,2020-04-08 05:27:53.000000,2021-10-20 12:30:02.000000,2021-10-20 12:30:02.000000,39,1.0,1.0,383.0,40.0,DeltaPy - Tabular Data Augmentation (by @firmai).,4.0,14,True,2020-11-12 16:13:21.000000,zen,11.0,deltapy,,,,106.0,2.0,2.0,https://pypi.org/project/deltapy,2020-04-09 01:48:32.000000,,106.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n843,VizSeq,facebookresearch/vizseq,,nlp,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38.000000,2021-09-14 21:59:53.000000,2021-09-02 03:19:31.000000,42,7.0,9.0,368.0,,\"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).\",3.0,14,True,2020-08-07 01:13:52.000000,0.1.15,16.0,vizseq,,,,50.0,3.0,3.0,https://pypi.org/project/vizseq,2020-08-07 01:13:52.000000,,50.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n844,Adversary,airbnb/artificial-adversary,,adversarial,https://github.com/airbnb/artificial-adversary,https://github.com/airbnb/artificial-adversary,MIT,2018-08-08 04:42:11.000000,2018-10-14 05:34:44.000000,2018-08-29 15:31:30.000000,51,6.0,,360.0,15.0,Tool to generate adversarial text examples and test machine learning models against them.,5.0,14,False,2018-08-29 15:14:41.000000,1.1.1,3.0,Adversary,,,,42.0,6.0,6.0,https://pypi.org/project/Adversary,2018-08-29 15:14:41.000000,0.0,42.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n845,pykale,pykale/pykale,,others,https://github.com/pykale/pykale,https://github.com/pykale/pykale,MIT,2020-06-30 08:06:10.000000,2021-11-21 02:19:03.000000,2021-11-20 16:19:21.000000,35,10.0,61.0,310.0,,Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary..,16.0,14,True,2021-10-13 22:01:16.000000,0.1.0rc4,8.0,pykale,,['pytorch'],,44.0,,,https://pypi.org/project/pykale,2021-10-13 22:02:19.000000,,44.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n846,TransferNLP,feedly/transfer-nlp,,nlp,https://github.com/feedly/transfer-nlp,https://github.com/feedly/transfer-nlp,MIT,2019-03-12 20:00:31.000000,2020-05-28 19:00:02.000000,2020-05-28 17:31:53.000000,18,4.0,20.0,287.0,465.0,NLP library designed for reproducible experimentation management.,7.0,14,False,2020-05-28 19:00:02.000000,0.1.6,8.0,transfer-nlp,,['pytorch'],,76.0,,,https://pypi.org/project/transfer-nlp,2020-05-28 19:00:02.000000,,76.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n847,tsaug,arundo/tsaug,,time-series-data,https://github.com/arundo/tsaug,https://github.com/arundo/tsaug,Apache-2.0,2019-09-27 00:38:05.000000,2020-04-17 02:55:58.000000,2020-04-17 02:46:38.000000,22,6.0,3.0,215.0,10.0,A Python package for time series augmentation.,4.0,14,False,2020-04-17 02:50:25.000000,0.2.1,4.0,tsaug,,,,490.0,,,https://pypi.org/project/tsaug,2020-04-17 02:50:25.000000,,490.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n848,ONNX-T5,abelriboulot/onnxt5,,nlp,https://github.com/abelriboulot/onnxt5,https://github.com/abelriboulot/onnxt5,Apache-2.0,2020-08-01 09:38:35.000000,2021-01-28 09:26:15.000000,2021-01-28 09:24:52.000000,23,6.0,8.0,185.0,74.0,\"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..\",3.0,14,False,2021-01-28 09:26:15.000000,0.1.8,11.0,onnxt5,,,,74.0,,,https://pypi.org/project/onnxt5,2021-01-28 09:26:15.000000,,74.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n849,TorchDrift,torchdrift/torchdrift,,pytorch-utils,https://github.com/TorchDrift/TorchDrift,https://github.com/TorchDrift/TorchDrift,Apache-2.0,2021-02-10 09:27:48.000000,2021-06-29 11:52:29.000000,2021-06-29 11:52:29.000000,5,2.0,4.0,182.0,33.0,Drift Detection for your PyTorch Models.,2.0,14,False,2021-03-08 12:21:48.000000,0.1.0,3.0,torchdrift,,['pytorch'],,112.0,12.0,12.0,https://pypi.org/project/torchdrift,2021-03-08 12:51:05.000000,,112.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n850,textvec,textvec/textvec,,nlp,https://github.com/textvec/textvec,https://github.com/textvec/textvec,MIT,2018-04-12 14:03:53.000000,2020-12-03 14:23:11.000000,2020-12-03 14:23:04.000000,21,3.0,6.0,178.0,70.0,Text vectorization tool to outperform TFIDF for classification tasks.,4.0,14,False,2019-09-12 07:41:04.000000,2.0,4.0,textvec,,['sklearn'],,44.0,4.0,4.0,https://pypi.org/project/textvec,2020-12-03 14:17:09.000000,,44.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n851,ipyexperiments,stas00/ipyexperiments,,gpu-utilities,https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40.000000,2021-09-16 21:08:52.000000,2021-09-16 21:08:49.000000,10,,4.0,142.0,197.0,jupyter/ipython experiment containers for GPU and general RAM re-use.,3.0,14,False,2021-03-28 03:39:09.000000,0.1.26,23.0,ipyexperiments,,['jupyter'],,96.0,7.0,5.0,https://pypi.org/project/ipyexperiments,2021-03-28 03:39:09.000000,2.0,96.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n852,numerizer,jaidevd/numerizer,,nlp,https://github.com/jaidevd/numerizer,https://github.com/jaidevd/numerizer,MIT,2019-12-02 07:00:34.000000,2021-04-04 05:05:33.000000,2021-04-03 04:27:49.000000,8,2.0,4.0,131.0,17.0,A Python module to convert natural language numerics into ints and floats.,2.0,14,False,2021-04-03 04:33:45.000000,0.2.0,8.0,numerizer,,,,2197.0,14.0,14.0,https://pypi.org/project/numerizer,2021-04-03 04:33:45.000000,,2197.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n853,ModelChimp,ModelChimp/modelchimp,,ml-experiments,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03.000000,2021-12-02 03:57:15.000000,2021-08-01 07:11:57.000000,12,4.0,10.0,122.0,363.0,Experiment tracking for machine and deep learning projects.,3.0,14,False,2019-04-09 10:43:15.000000,0.4.0,37.0,modelchimp,,,,81.0,,,https://pypi.org/project/modelchimp,2019-04-09 10:41:20.000000,,64.0,,,,3.0,,modelchimp/modelchimp-server,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,647.0,,,,,,,,,,,,,,,,,,,,\n854,DeepNeuro,QTIM-Lab/DeepNeuro,,medical-data,https://github.com/QTIM-Lab/DeepNeuro,https://github.com/QTIM-Lab/DeepNeuro,MIT,2017-06-01 19:36:34.000000,2020-06-24 13:00:15.000000,2020-06-24 13:00:14.000000,34,27.0,16.0,108.0,285.0,A deep learning python package for neuroimaging data. Made by:.,6.0,14,False,2019-06-10 21:04:04.000000,0.2.3,6.0,deepneuro,,,,52.0,1.0,1.0,https://pypi.org/project/deepneuro,2019-06-10 21:04:04.000000,,52.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n855,Hypermax,electricbrainio/hypermax,,hyperopt,https://github.com/electricbrainio/hypermax,https://github.com/electricbrainio/hypermax,BSD-3-Clause,2018-07-27 18:43:01.000000,2020-08-02 18:08:50.000000,2020-08-02 18:08:46.000000,14,3.0,2.0,97.0,207.0,\"Better, faster hyper-parameter optimization.\",9.0,14,False,2019-10-23 15:40:12.000000,0.5.1,11.0,hypermax,,,,33.0,4.0,4.0,https://pypi.org/project/hypermax,2019-10-23 15:40:12.000000,,33.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n856,contextual-ai,SAP/contextual-ai,,interpretability,https://github.com/SAP/contextual-ai,https://github.com/SAP/contextual-ai,Apache-2.0,2020-05-12 07:15:56.000000,2021-11-11 10:54:41.000000,2021-11-11 10:53:33.000000,10,4.0,11.0,73.0,630.0,\"Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference -..\",12.0,14,False,2021-01-25 04:56:57.000000,0.0.2,2.0,contextual-ai,,,,95.0,,,https://pypi.org/project/contextual-ai,2021-01-25 04:56:57.000000,,95.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n857,nptsne,biovault/nptsne,,data-viz,https://github.com/biovault/nptsne,https://github.com/biovault/nptsne,Apache-2.0,2019-06-28 08:40:25.000000,2021-12-02 08:18:44.000000,2021-02-03 08:52:27.000000,2,7.0,5.0,27.0,857.0,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,3.0,14,False,2020-09-10 23:54:14.000000,1.1.0,2.0,nptsne,,,,57.0,3.0,3.0,https://pypi.org/project/nptsne,2020-09-10 23:54:14.000000,,57.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n858,StarSpace,facebookresearch/StarSpace,,ml-frameworks,https://github.com/facebookresearch/StarSpace,https://github.com/facebookresearch/StarSpace,MIT,2017-06-28 17:50:18.000000,2021-11-03 16:23:46.000000,2019-12-13 19:03:25.000000,499,50.0,148.0,3704.0,,\"Learning embeddings for classification, retrieval and ranking.\",17.0,13,False,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n859,OpenKE,thunlp/OpenKE,,graph,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,MIT,2017-10-08 11:20:23.000000,2021-09-29 09:46:39.000000,2021-04-06 08:24:50.000000,822,68.0,308.0,2824.0,97.0,An Open-Source Package for Knowledge Embedding (KE).,10.0,13,True,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n860,GraphSAGE,williamleif/GraphSAGE,,graph,https://github.com/williamleif/GraphSAGE,https://github.com/williamleif/GraphSAGE,MIT,2017-05-29 15:36:22.000000,2021-08-25 15:01:46.000000,2018-09-19 19:27:00.000000,712,96.0,59.0,2563.0,59.0,Representation learning on large graphs using stochastic graph convolutions.,9.0,13,False,,,,,,['tensorflow'],,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n861,ENAS,carpedm20/ENAS-pytorch,,hyperopt,https://github.com/carpedm20/ENAS-pytorch,https://github.com/carpedm20/ENAS-pytorch,Apache-2.0,2018-02-15 04:54:37.000000,2020-12-09 18:13:03.000000,2020-06-16 07:23:32.000000,456,37.0,7.0,2499.0,53.0,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,6.0,13,False,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n862,OpenNE,thunlp/OpenNE,,graph,https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20.000000,2021-09-15 14:38:30.000000,2019-08-12 10:56:27.000000,468,50.0,94.0,1522.0,98.0,An Open-Source Package for Network Embedding (NE).,10.0,13,False,,,,,,['tensorflow'],,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n863,Auptimizer,LGE-ARC-AdvancedAI/auptimizer,,hyperopt,https://github.com/LGE-ARC-AdvancedAI/auptimizer,https://github.com/LGE-ARC-AdvancedAI/auptimizer,GPL-3.0,2019-09-12 01:08:37.000000,2021-11-10 20:14:57.000000,2021-03-03 01:30:06.000000,21,1.0,5.0,178.0,79.0,An automatic ML model optimization tool.,11.0,13,False,2021-03-03 02:00:23.000000,2.0,7.0,auptimizer,,,,55.0,,,https://pypi.org/project/auptimizer,2021-03-02 02:40:32.000000,,55.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n864,autodist,petuum/autodist,,distributed-ml,https://github.com/petuum/autodist,https://github.com/petuum/autodist,Apache-2.0,2020-06-29 19:45:38.000000,2021-04-12 21:55:36.000000,2021-01-28 00:04:40.000000,21,11.0,1.0,113.0,208.0,Simple Distributed Deep Learning on TensorFlow.,11.0,13,False,,,2.0,autodist,,['tensorflow'],,23.0,,,https://pypi.org/project/autodist,2020-07-16 05:36:19.000000,,23.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n865,Attribution Priors,suinleelab/attributionpriors,,interpretability,https://github.com/suinleelab/attributionpriors,https://github.com/suinleelab/attributionpriors,MIT,2019-06-24 23:54:24.000000,2021-03-19 19:43:58.000000,2021-03-19 19:43:51.000000,10,1.0,3.0,90.0,72.0,Tools for training explainable models using attribution priors.,6.0,13,False,2021-03-16 17:47:18.000000,1.0.0,4.0,attributionpriors,,\"['tensorflow', 'pytorch']\",,35.0,3.0,3.0,https://pypi.org/project/attributionpriors,2019-10-31 18:03:05.000000,,35.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n866,surpriver,tradytics/surpriver,,financial-data,https://github.com/tradytics/surpriver,https://github.com/tradytics/surpriver,GPL-3.0,2020-08-30 07:56:22.000000,2021-08-13 08:02:31.000000,2020-09-21 04:32:05.000000,249,10.0,6.0,1369.0,64.0,Find big moving stocks before they move using machine learning and anomaly detection.,6.0,12,False,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n867,MedicalNet,Tencent/MedicalNet,,medical-data,https://github.com/Tencent/MedicalNet,https://github.com/Tencent/MedicalNet,MIT,2019-07-17 09:53:10.000000,2021-09-16 22:05:49.000000,2020-08-27 13:37:26.000000,332,50.0,14.0,1275.0,26.0,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,1.0,12,False,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n868,traingenerator,jrieke/traingenerator,,others,https://github.com/jrieke/traingenerator,https://github.com/jrieke/traingenerator,MIT,2020-12-03 16:47:16.000000,2021-06-28 17:42:41.000000,2021-04-29 13:46:13.000000,156,13.0,3.0,1110.0,,A web app to generate template code for machine learning.,3.0,12,True,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n869,Medical Detection Toolkit,MIC-DKFZ/medicaldetectiontoolkit,,medical-data,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,Apache-2.0,2018-10-12 12:34:57.000000,2021-09-09 14:14:09.000000,2021-09-09 14:14:04.000000,275,40.0,85.0,1061.0,40.0,\"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..\",3.0,12,True,,,,,,['pytorch'],,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n870,backprop,backprop-ai/backprop,,model-serialisation,https://github.com/backprop-ai/backprop,https://github.com/backprop-ai/backprop,Apache-2.0,2020-10-30 15:25:14.000000,2021-05-03 09:15:25.000000,2021-05-03 09:15:21.000000,11,3.0,4.0,219.0,,\"Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.\",8.0,12,False,2021-04-20 13:53:12.000000,0.1.2,14.0,backprop,,,,113.0,,,https://pypi.org/project/backprop,2021-04-20 13:53:12.000000,,113.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n871,Maze,enlite-ai/maze,,reinforcement-learning,https://github.com/enlite-ai/maze,https://github.com/enlite-ai/maze,Custom,2021-02-11 08:26:37.000000,2021-12-01 06:42:04.000000,2021-06-24 20:06:29.000000,4,,2.0,199.0,,Maze Applied Reinforcement Learning Framework.,3.0,12,False,2021-06-24 20:08:22.000000,0.1.7,18.0,maze-rl,,['pytorch'],,62.0,1.0,1.0,https://pypi.org/project/maze-rl,2021-06-24 20:28:17.000000,,39.0,,,,3.0,,enliteai/maze,https://hub.docker.com/r/enliteai/maze,2021-06-24 21:00:27.801118,,234.0,,,,,,,,,,,,,,,,,,,,\n872,dstack,dstackai/dstack,,others,https://github.com/dstackai/dstack,https://github.com/dstackai/dstack,Apache-2.0,2020-06-22 09:03:03.000000,2021-11-16 16:00:28.000000,,11,21.0,,183.0,,An open-source tool to rapidly develop data applications with Python.,2.0,12,False,2021-03-23 15:46:40.000000,0.6.5,33.0,dstack,,,,139.0,,,https://pypi.org/project/dstack,2021-11-16 16:00:28.000000,,139.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n873,bias-detector,intuit/bias-detector,,interpretability,https://github.com/intuit/bias-detector,https://github.com/intuit/bias-detector,MIT,2021-02-02 16:58:52.000000,2021-10-27 10:28:48.000000,2021-10-27 10:28:48.000000,8,,,35.0,,Bias Detector is a python package for detecting bias in machine learning models.,4.0,12,False,2021-04-22 15:20:54.000000,0.0.12,11.0,bias-detector,,,,54.0,,,https://pypi.org/project/bias-detector,2021-04-22 15:20:54.000000,,54.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n874,model_search,google/model_search,,hyperopt,https://github.com/google/model_search,https://github.com/google/model_search,Apache-2.0,2021-01-19 18:26:34.000000,2021-07-26 12:43:38.000000,2021-03-17 17:06:04.000000,304,34.0,15.0,3158.0,8.0,AutoML algorithms for model architecture search at scale.,1.0,11,True,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n875,GraphVite,DeepGraphLearning/graphvite,,graph,https://github.com/DeepGraphLearning/graphvite,https://github.com/DeepGraphLearning/graphvite,Apache-2.0,2019-07-16 15:48:20.000000,2021-01-14 02:19:03.000000,2021-01-14 02:18:46.000000,129,35.0,56.0,971.0,15.0,GraphVite: A General and High-performance Graph Embedding System.,1.0,11,True,,,4.0,,milagraph/graphvite,,,144.0,,,,,,,https://anaconda.org/milagraph/graphvite,2020-03-19 18:21:30.972000,4044.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n876,Devol,joeddav/devol,,hyperopt,https://github.com/joeddav/devol,https://github.com/joeddav/devol,MIT,2017-02-10 03:07:54.000000,2020-07-05 21:56:59.000000,2020-07-05 21:56:58.000000,109,7.0,20.0,935.0,116.0,Genetic neural architecture search with Keras.,18.0,11,False,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n877,PySparNN,facebookresearch/pysparnn,,nn-search,https://github.com/facebookresearch/pysparnn,https://github.com/facebookresearch/pysparnn,BSD-3-Clause,2016-03-28 20:43:42.000000,2020-10-02 06:01:01.000000,2018-01-31 16:50:23.000000,146,15.0,14.0,890.0,147.0,Approximate Nearest Neighbor Search for Sparse Data in Python!.,5.0,11,False,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n878,BLINK,facebookresearch/BLINK,,nlp,https://github.com/facebookresearch/BLINK,https://github.com/facebookresearch/BLINK,MIT,2019-09-25 21:27:44.000000,2021-10-28 02:39:25.000000,2021-04-02 03:03:34.000000,136,45.0,28.0,765.0,,Entity Linker solution.,16.0,11,True,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n879,nylon,Palashio/nylon,,others,https://github.com/Palashio/nylon,https://github.com/Palashio/nylon,MIT,2021-06-04 17:33:49.000000,2021-07-29 20:34:04.000000,2021-07-23 19:37:10.000000,9,14.0,18.0,76.0,,\"An intelligent, flexible grammar of machine learning.\",3.0,11,False,2021-06-25 14:27:32.000000,0.0.7,8.0,nylon-ai,,,,46.0,1.0,1.0,https://pypi.org/project/nylon-ai,2021-06-25 14:27:32.000000,,46.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n880,spacy-dbpedia-spotlight,MartinoMensio/spacy-dbpedia-spotlight,,nlp,https://github.com/MartinoMensio/spacy-dbpedia-spotlight,https://github.com/MartinoMensio/spacy-dbpedia-spotlight,MIT,2020-04-29 19:35:04.000000,2021-04-12 13:38:53.000000,2021-04-12 13:38:47.000000,5,6.0,,45.0,13.0,A spaCy wrapper for DBpedia Spotlight.,1.0,11,False,2021-04-12 13:25:07.000000,0.2.1,6.0,spacy-dbpedia-spotlight,,['spacy'],,313.0,,,https://pypi.org/project/spacy-dbpedia-spotlight,2021-04-09 13:21:45.000000,,313.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n881,LazyCluster,ml-tooling/lazycluster,,distributed-ml,https://github.com/ml-tooling/lazycluster,https://github.com/ml-tooling/lazycluster,Apache-2.0,2019-08-07 08:05:13.000000,2021-09-16 02:14:06.000000,2021-08-19 13:59:11.000000,8,,,43.0,,Distributed machine learning made simple.,2.0,11,False,2020-12-14 15:25:59.000000,0.2.4,5.0,lazycluster,,,,31.0,7.0,7.0,https://pypi.org/project/lazycluster,2020-12-14 14:49:33.000000,,31.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n882,Mozart,aashrafh/Mozart,,ocr,https://github.com/aashrafh/Mozart,https://github.com/aashrafh/Mozart,Apache-2.0,2020-12-14 11:49:14.000000,2021-05-05 17:21:44.000000,2021-05-05 17:21:44.000000,47,3.0,6.0,335.0,,An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.,5.0,10,True,,,,,,['sklearn'],,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n883,Hypertunity,gdikov/hypertunity,,hyperopt,https://github.com/gdikov/hypertunity,https://github.com/gdikov/hypertunity,Apache-2.0,2019-06-02 12:04:55.000000,2020-01-26 23:14:49.000000,2020-01-26 22:53:29.000000,9,,2.0,119.0,64.0,A toolset for black-box hyperparameter optimisation.,2.0,10,False,2020-01-26 23:08:16.000000,1.0.1,7.0,hypertunity,,,,16.0,2.0,2.0,https://pypi.org/project/hypertunity,2020-01-26 23:08:16.000000,,16.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n884,Lea,,,probabilistics,,http://bitbucket.org/piedenis/lea,GPL-3.0,,2020-11-13 19:50:21.000000,,3,,,,,Discrete probability distributions in Python.,,10,False,2020-11-13 19:50:21.000000,3.4.0,50.0,lea,,,,2197.0,21.0,,https://pypi.org/project/lea,2020-11-13 19:50:21.000000,21.0,2197.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,piedenis/lea\n885,traintool,jrieke/traintool,,ml-experiments,https://github.com/jrieke/traintool,https://github.com/jrieke/traintool,Apache-2.0,2020-09-30 22:23:05.000000,2021-03-12 01:44:04.000000,2021-03-12 01:43:14.000000,1,,,9.0,122.0,Train off-the-shelf machine learning models in one line of code.,,9,False,2020-11-02 02:25:32.000000,0.0.3,3.0,traintool,,\"['pytorch', 'tensorflow', 'sklearn']\",,18.0,,,https://pypi.org/project/traintool,2020-11-02 02:25:32.000000,,18.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n"
  },
  {
    "path": "history/2021-12-09_changes.md",
    "content": "## 📈 Trending Up\n\n_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._\n\n- <b><a href=\"https://github.com/ray-project/ray\">Ray</a></b> (🥇33 ·  ⭐ 18K · 📈) - An open source framework that provides a simple, universal API for.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/rq/rq\">rq</a></b> (🥇33 ·  ⭐ 8K · 📈) - Simple job queues for Python. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/xflr6/graphviz\">Graphviz</a></b> (🥇33 ·  ⭐ 1.1K · 📈) - Simple Python interface for Graphviz. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/ekzhu/datasketch\">datasketch</a></b> (🥉27 ·  ⭐ 1.6K · 📈) - MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog,.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/snap-stanford/ogb\">ogb</a></b> (🥈25 ·  ⭐ 1.2K · 📈) - Benchmark datasets, data loaders, and evaluators for graph machine learning. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/tensorflow/recommenders\">TF Recommenders</a></b> (🥈25 ·  ⭐ 1.1K · 📈) - TensorFlow Recommenders is a library for building.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/jupyter-widgets/pythreejs\">pythreejs</a></b> (🥉25 ·  ⭐ 770 · 📈) - A Jupyter - Three.js bridge. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/AutoViML/Auto_ViML\">Auto ViML</a></b> (🥉20 ·  ⭐ 310 · 📈) - Automatically Build Multiple ML Models with a Single Line of.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/stas00/ipyexperiments\">ipyexperiments</a></b> (🥉16 ·  ⭐ 140 · 📈) - jupyter/ipython experiment containers for GPU and.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"http://bitbucket.org/piedenis/lea\">Lea</a></b> (🥉12 · 📈) - Discrete probability distributions in Python. <code><a href=\"http://bit.ly/2M0xdwT\">❗️GPL-3.0</a></code>\n\n## 📉 Trending Down\n\n_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._\n\n- <b><a href=\"https://github.com/scipy/scipy\">scipy</a></b> (🥇41 ·  ⭐ 8.9K · 📉) - Ecosystem of open-source software for mathematics, science, and.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/celery/celery\">Celery</a></b> (🥇39 ·  ⭐ 18K · 📉) - Asynchronous task queue/job queue based on distributed message passing. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/apache/arrow\">Arrow</a></b> (🥇36 ·  ⭐ 8.8K · 📉) - Apache Arrow is a multi-language toolbox for accelerated data.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/slundberg/shap\">shap</a></b> (🥇35 ·  ⭐ 15K · 📉) - A game theoretic approach to explain the output of any machine learning.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/python-pillow/Pillow\">Pillow</a></b> (🥇34 ·  ⭐ 9.2K · 📉) - The friendly PIL fork (Python Imaging Library). <code><a href=\"https://tldrlegal.com/search?q=PIL\">❗️PIL</a></code>\n- <b><a href=\"https://github.com/spotify/luigi\">luigi</a></b> (🥇33 ·  ⭐ 15K · 📉) - Luigi is a Python module that helps you build complex pipelines of.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/apache/incubator-mxnet\">MXNet</a></b> (🥈32 ·  ⭐ 20K · 📉) - Lightweight, Portable, Flexible Distributed/Mobile Deep.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1X\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/plotly/dash\">dash</a></b> (🥈32 ·  ⭐ 16K · 📉) - Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/pyproj4/pyproj\">pyproj</a></b> (🥈28 ·  ⭐ 690 · 📉) - Python interface to PROJ (cartographic projections and coordinate.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/quantumblacklabs/kedro\">Kedro</a></b> (🥈26 ·  ⭐ 4.7K · 📉) - A Python framework for creating reproducible, maintainable and.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n\n"
  },
  {
    "path": "history/2021-12-09_projects.csv",
    "content": ",name,github_id,resource,category,github_url,homepage,license,created_at,updated_at,last_commit_pushed_at,fork_count,open_issue_count,closed_issue_count,star_count,commit_count,description,contributor_count,projectrank,show,latest_stable_release_published_at,latest_stable_release_number,release_count,pypi_id,conda_id,labels,github_release_downloads,monthly_downloads,dependent_project_count,github_dependent_project_count,pypi_url,pypi_latest_release_published_at,pypi_dependent_project_count,pypi_monthly_downloads,conda_url,conda_latest_release_published_at,conda_total_downloads,projectrank_placing,trending,docs_url,dockerhub_id,dockerhub_url,dockerhub_latest_release_published_at,dockerhub_stars,dockerhub_pulls,helm_id,npm_id,npm_url,npm_latest_release_published_at,npm_dependent_project_count,npm_monthly_downloads,conda_dependent_project_count,brew_id,apt_id,yum_id,updated_github_id,snap_id,dnf_id,yay_id,maven_id,maven_url,maven_latest_release_published_at,maven_dependent_project_count,bitbucket_id\n0,ANN Benchmarks,erikbern/ann-benchmarks,True,nn-search,https://github.com/erikbern/ann-benchmarks,https://github.com/erikbern/ann-benchmarks,MIT,2015-05-28 13:21:43.000000,2021-12-05 13:14:34.000000,2021-12-05 13:14:34.000000,403,38.0,73.0,2649.0,1257.0,Benchmarks of approximate nearest neighbor libraries in Python.,65.0,0,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n1,best-of-web-python - Web Scraping,ml-tooling/best-of-web-python,True,web-scraping,https://github.com/ml-tooling/best-of-web-python,https://github.com/ml-tooling/best-of-web-python#web-scraping--crawling,CC-BY-SA-4.0,2021-01-05 13:09:27.000000,2021-12-02 23:58:23.000000,2021-12-02 23:58:22.000000,93,4.0,2.0,1384.0,,Collection of web-scraping and crawling libraries.,7.0,0,True,2021-12-02 23:58:56.000000,2021.12.02,24.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n2,best-of-python - Data Extraction,ml-tooling/best-of-python,True,data-loading,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-loading--extraction,CC-BY-SA-4.0,2021-01-11 19:11:32.000000,2021-12-09 13:37:34.000000,2021-12-03 00:04:06.000000,138,,4.0,1862.0,,Collection of data-loading and -extraction libraries.,5.0,0,True,2021-12-03 00:04:18.000000,2021.12.02,26.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n3,best-of-python - DB Clients,ml-tooling/best-of-python,True,db-clients,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#database-clients,CC-BY-SA-4.0,2021-01-11 19:11:32.000000,2021-12-09 13:37:34.000000,2021-12-03 00:04:06.000000,138,,4.0,1862.0,,Collection of database clients for python.,5.0,0,True,2021-12-03 00:04:18.000000,2021.12.02,26.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n4,pandas,pandas-dev/pandas,,data-containers,https://github.com/pandas-dev/pandas,https://github.com/pandas-dev/pandas,BSD-3-Clause,2010-08-24 01:37:33.000000,2021-12-09 14:39:21.000000,2021-12-08 16:22:47.000000,13512,3538.0,18299.0,31947.0,28406.0,\"Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R..\",2865.0,43,True,2021-10-17 16:42:57.000000,1.3.4,98.0,pandas,conda-forge/pandas,['pandas'],128572.0,37083576.0,666992.0,590208.0,https://pypi.org/project/pandas,2021-10-17 16:42:57.000000,76784.0,36759081.0,https://anaconda.org/conda-forge/pandas,2021-11-06 20:35:19.852000,21650524.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n5,scipy,scipy/scipy,,others,https://github.com/scipy/scipy,https://github.com/scipy/scipy,BSD-3-Clause,2011-03-09 18:52:03.000000,2021-12-09 14:45:14.000000,2021-12-08 20:42:31.000000,3981,1833.0,6281.0,8913.0,26844.0,\"Ecosystem of open-source software for mathematics, science, and engineering.\",1203.0,41,True,2021-11-24 18:44:51.000000,1.7.3,69.0,scipy,conda-forge/scipy,,333420.0,17598172.0,519562.0,432700.0,https://pypi.org/project/scipy,2021-11-24 16:07:40.000000,86862.0,17298988.0,https://anaconda.org/conda-forge/scipy,2021-11-25 04:00:02.224000,19755247.0,1.0,-1.0,,,,,,,,,,,,,,,,,,,,,,,,,\n6,PyTorch,pytorch/pytorch,,ml-frameworks,https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41.000000,2021-12-09 14:03:20.000000,2021-12-09 10:58:57.000000,14430,10653.0,16242.0,52638.0,42294.0,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,2996.0,39,True,2021-10-21 15:49:53.000000,1.10.0,36.0,torch,pytorch/pytorch,['pytorch'],525.0,3548836.0,6682.0,,https://pypi.org/project/torch,2021-10-21 14:45:53.000000,6682.0,3258020.0,https://anaconda.org/pytorch/pytorch,2021-10-20 22:42:47.223000,14249623.0,1.0,,https://pytorch.org/docs/stable/index.html,,,,,,,,,,,,,,,,,,,,,,,,\n7,Celery,celery/celery,,data-pipelines,https://github.com/celery/celery,https://github.com/celery/celery,BSD-3-Clause,2009-04-24 11:31:24.000000,2021-12-09 14:41:39.000000,2021-12-06 19:02:51.000000,4134,484.0,4141.0,18345.0,11796.0,Asynchronous task queue/job queue based on distributed message passing.,1163.0,39,True,2021-11-16 14:56:22.000000,5.2.1,185.0,celery,conda-forge/celery,,,2577532.0,89966.0,61732.0,https://pypi.org/project/celery,2021-11-16 14:56:13.000000,28234.0,2566498.0,https://anaconda.org/conda-forge/celery,2021-06-29 08:06:51.307000,761375.0,1.0,-1.0,,,,,,,,,,,,,,,,,,,,,,,,,\n8,transformers,huggingface/transformers,,nlp,https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000000,2021-12-09 14:04:32.000000,2021-12-09 13:42:23.000000,12830,416.0,7946.0,55238.0,8443.0,\"Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.\",1090.0,38,True,2021-11-17 16:38:32.000000,4.12.5,79.0,transformers,conda-forge/transformers,\"['pytorch', 'tensorflow']\",1417.0,1817912.0,19705.0,19577.0,https://pypi.org/project/transformers,2021-11-17 16:37:50.000000,128.0,1814565.0,https://anaconda.org/conda-forge/transformers,2021-11-17 21:22:29.910000,86053.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n9,XGBoost,dmlc/xgboost,,ml-frameworks,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000000,2021-12-09 06:24:51.000000,2021-12-09 06:24:51.000000,8246,308.0,3969.0,21963.0,5579.0,\"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..\",541.0,38,True,2021-11-24 19:51:13.000000,1.5.1,60.0,xgboost,conda-forge/xgboost,,3461.0,4809480.0,26159.0,24567.0,https://pypi.org/project/xgboost,2021-11-24 19:51:13.000000,1592.0,4771942.0,https://anaconda.org/conda-forge/xgboost,2021-11-20 17:37:18.728000,2137604.0,1.0,,https://xgboost.readthedocs.io/en/latest/,,,,,,,,,,,,,,,,,,,,,,,,\n10,numpy,numpy/numpy,,data-containers,https://github.com/numpy/numpy,https://github.com/numpy/numpy,BSD-3-Clause,2010-09-13 23:02:39.000000,2021-12-09 13:10:43.000000,2021-12-09 01:45:51.000000,6207,2305.0,8082.0,19018.0,,The fundamental package for scientific computing with Python.,1370.0,38,True,2021-11-05 01:42:23.000000,1.21.4,106.0,numpy,conda-forge/numpy,,429568.0,47120978.0,1076260.0,906538.0,https://pypi.org/project/numpy,2021-11-23 19:36:52.000000,169722.0,46713066.0,https://anaconda.org/conda-forge/numpy,2021-11-05 22:05:37.357000,26858295.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n11,Seaborn,mwaskom/seaborn,,data-viz,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000000,2021-12-06 01:59:35.000000,2021-11-27 18:58:32.000000,1489,97.0,1843.0,8986.0,2812.0,Statistical data visualization in Python.,161.0,38,True,2021-08-16 00:39:03.000000,0.11.2,25.0,seaborn,conda-forge/seaborn,,209.0,4083399.0,141394.0,128608.0,https://pypi.org/project/seaborn,2021-08-16 00:42:18.000000,12786.0,4034149.0,https://anaconda.org/conda-forge/seaborn,2021-08-16 06:42:17.619000,3151897.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n12,Tensorflow,tensorflow/tensorflow,,ml-frameworks,https://github.com/tensorflow/tensorflow,https://github.com/tensorflow/tensorflow,Apache-2.0,2015-11-07 01:19:20.000000,2021-12-09 13:51:19.902535,,85920,2787.0,,163095.0,,An Open Source Machine Learning Framework for Everyone.,882.0,37,True,2021-11-04 21:19:34.000000,2.7.0,139.0,tensorflow,conda-forge/tensorflow,['tensorflow'],,8120773.0,22524.0,,https://pypi.org/project/tensorflow,2021-11-04 21:19:34.000000,22524.0,7222427.0,https://anaconda.org/conda-forge/tensorflow,2021-12-08 18:39:34.795000,2936035.0,1.0,,https://www.tensorflow.org/overview,tensorflow/tensorflow,https://hub.docker.com/r/tensorflow/tensorflow,2021-12-09 13:51:19.902535,1971.0,62473074.0,,,,,,,,,,,,,,,,,,,\n13,scikit-learn,scikit-learn/scikit-learn,,ml-frameworks,https://github.com/scikit-learn/scikit-learn,https://github.com/scikit-learn/scikit-learn,BSD-3-Clause,2010-08-17 09:43:38.000000,2021-12-09 10:49:27.000000,2021-12-09 09:24:03.000000,22344,2470.0,7309.0,48222.0,,scikit-learn: machine learning in Python.,2424.0,37,True,2021-10-25 11:00:07.000000,1.0.1,58.0,scikit-learn,conda-forge/scikit-learn,['sklearn'],756.0,13438972.0,329545.0,291657.0,https://pypi.org/project/scikit-learn,2021-10-25 11:00:07.000000,37888.0,13279856.0,https://anaconda.org/conda-forge/scikit-learn,2021-11-13 11:24:34.144000,10660062.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n14,PySpark,apache/spark,,ml-frameworks,https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08.000000,2021-12-09 13:19:19.000000,2021-12-09 09:08:37.000000,24756,218.0,,31536.0,31863.0,Apache Spark Python API.,2578.0,37,True,2021-10-18 08:17:19.000000,3.2.0,27.0,pyspark,conda-forge/pyspark,['spark'],,8308793.0,760.0,,https://pypi.org/project/pyspark,2021-10-18 08:17:19.000000,760.0,8284572.0,https://anaconda.org/conda-forge/pyspark,2021-10-18 11:47:59.356000,1380634.0,1.0,,,,,,,,stable/spark,,,,,,,,,,,,,,,,,,\n15,spaCy,explosion/spaCy,,nlp,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000000,2021-12-09 07:35:29.000000,2021-12-07 09:51:45.000000,3648,97.0,4857.0,21915.0,15202.0,Industrial-strength Natural Language Processing (NLP) in Python.,642.0,37,True,2021-12-07 16:30:56.000000,3.2.1,187.0,spacy,conda-forge/spacy,,3100.0,1818718.0,35604.0,32538.0,https://pypi.org/project/spacy,2021-12-07 16:29:15.000000,3066.0,1775729.0,https://anaconda.org/conda-forge/spacy,2021-11-08 22:47:56.654000,2490502.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n16,Matplotlib,matplotlib/matplotlib,,data-viz,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,Python-2.0,2011-02-19 03:17:12.000000,2021-12-09 09:57:28.000000,2021-12-08 16:08:42.000000,6155,1699.0,6718.0,14681.0,,matplotlib: plotting with Python.,1312.0,37,True,2021-11-16 07:19:21.000000,3.5.0,72.0,matplotlib,conda-forge/matplotlib,,,14336354.0,548808.0,469704.0,https://pypi.org/project/matplotlib,2021-11-16 05:01:00.000000,79104.0,14196180.0,https://anaconda.org/conda-forge/matplotlib,2021-11-19 09:51:33.352000,10513085.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n17,SymPy,sympy/sympy,,others,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000000,2021-12-09 14:52:50.000000,2021-12-08 23:11:54.000000,3508,4242.0,7690.0,8669.0,49461.0,A computer algebra system written in pure Python.,1122.0,37,True,2021-10-08 23:27:06.000000,sympy-1.9,39.0,sympy,conda-forge/sympy,,439442.0,1007836.0,44053.0,37631.0,https://pypi.org/project/sympy,2021-10-08 23:29:29.000000,6422.0,976504.0,https://anaconda.org/conda-forge/sympy,2021-11-06 22:30:34.086000,1807839.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n18,Tensorboard,tensorflow/tensorboard,,ml-experiments,https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000000,2021-12-09 12:52:26.000000,2021-12-07 23:34:47.000000,1452,557.0,1052.0,5714.0,4878.0,TensorFlow's Visualization Toolkit.,274.0,37,True,2021-10-13 16:17:43.000000,2.7.0,39.0,tensorboard,conda-forge/tensorboard,['tensorflow'],,6009976.0,91039.0,87425.0,https://pypi.org/project/tensorboard,2021-10-13 16:17:43.000000,3614.0,5955099.0,https://anaconda.org/conda-forge/tensorboard,2021-11-10 21:16:52.072000,2688989.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n19,OpenAI Gym,openai/gym,,reinforcement-learning,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16.000000,2021-12-09 07:46:58.000000,2021-12-09 05:40:07.000000,7337,118.0,1336.0,25877.0,1441.0,A toolkit for developing and comparing reinforcement learning algorithms.,328.0,36,True,2021-10-06 22:04:25.000000,0.21.0,96.0,gym,,,,451860.0,28513.0,24951.0,https://pypi.org/project/gym,2021-10-06 22:04:25.000000,3562.0,451860.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n20,LightGBM,microsoft/LightGBM,,ml-frameworks,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000000,2021-12-09 06:11:44.000000,2021-12-07 22:51:58.000000,3433,163.0,2342.0,13252.0,2813.0,\"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..\",246.0,36,True,2021-10-27 23:58:39.000000,3.3.1,27.0,lightgbm,conda-forge/lightgbm,,130087.0,5932938.0,10760.0,10204.0,https://pypi.org/project/lightgbm,2021-10-27 23:58:39.000000,556.0,5915012.0,https://anaconda.org/conda-forge/lightgbm,2021-11-20 15:50:31.621000,827046.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n21,gensim,RaRe-Technologies/gensim,,nlp,https://github.com/RaRe-Technologies/gensim,https://github.com/RaRe-Technologies/gensim,LGPL-2.1,2011-02-10 07:43:04.000000,2021-12-05 07:50:38.000000,2021-12-05 07:13:57.000000,4094,380.0,1360.0,12732.0,4263.0,Topic Modelling for Humans.,415.0,36,True,2021-09-18 14:21:47.000000,4.1.2,89.0,gensim,conda-forge/gensim,,3501.0,5380542.0,33632.0,28890.0,https://pypi.org/project/gensim,2021-09-17 00:24:57.000000,4742.0,5365711.0,https://anaconda.org/conda-forge/gensim,2021-11-09 13:39:50.380000,754015.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n22,Plotly,plotly/plotly.py,,data-viz,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000000,2021-12-09 01:05:06.000000,2021-12-04 19:11:58.000000,2035,1005.0,1152.0,10658.0,5319.0,The interactive graphing library for Python (includes Plotly Express).,189.0,36,True,2021-11-15 14:40:20.000000,5.4.0,275.0,plotly,conda-forge/plotly,,,4771559.0,4991.0,5.0,https://pypi.org/project/plotly,2021-11-15 14:39:00.000000,4982.0,4681117.0,https://anaconda.org/conda-forge/plotly,2021-11-15 16:33:27.242000,2111807.0,1.0,,,,,,,,,plotlywidget,https://www.npmjs.com/package/plotlywidget,2021-01-12 16:09:46.133000,4.0,57446.0,,,,,,,,,,,,,\n23,Arrow,apache/arrow,,data-containers,https://github.com/apache/arrow,https://github.com/apache/arrow,Apache-2.0,2016-02-17 08:00:23.000000,2021-12-09 14:42:01.000000,2021-12-09 13:04:49.000000,2125,188.0,678.0,8787.0,10528.0,Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing.,777.0,36,True,2021-10-26 15:00:11.000000,6.0.0,35.0,pyarrow,conda-forge/arrow,,,17462177.0,1043.0,57.0,https://pypi.org/project/pyarrow,2021-11-18 03:54:39.000000,986.0,17449700.0,https://anaconda.org/conda-forge/arrow,2021-10-26 15:18:02.635000,836019.0,1.0,-1.0,,,,,,,,,,,,,,,,,,,,,,,,,\n24,h5py,h5py/h5py,,data-containers,https://github.com/h5py/h5py,https://github.com/h5py/h5py,BSD-3-Clause,2012-09-21 00:40:02.000000,2021-11-26 22:25:41.747000,2021-11-24 11:35:21.000000,431,221.0,1052.0,1623.0,3843.0,HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.,172.0,36,True,2021-11-16 09:55:10.000000,3.6.0,31.0,h5py,conda-forge/h5py,,1616.0,5843253.0,164704.0,141768.0,https://pypi.org/project/h5py,2021-11-16 13:35:22.000000,22936.0,5745477.0,https://anaconda.org/conda-forge/h5py,2021-11-26 22:25:41.747000,6744615.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n25,pytorch-lightning,PyTorchLightning/pytorch-lightning,,ml-frameworks,https://github.com/PyTorchLightning/pytorch-lightning,https://github.com/PyTorchLightning/pytorch-lightning,Apache-2.0,2019-03-31 00:45:57.000000,2021-12-09 13:52:21.000000,2021-12-09 01:27:13.000000,2022,447.0,3916.0,16510.0,6211.0,\"The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.\",585.0,35,True,2021-12-07 15:47:00.000000,1.5.5,198.0,pytorch-lightning,conda-forge/pytorch-lightning,['pytorch'],4837.0,480254.0,5906.0,5892.0,https://pypi.org/project/pytorch-lightning,2021-12-07 15:47:00.000000,14.0,458839.0,https://anaconda.org/conda-forge/pytorch-lightning,2021-12-08 08:15:53.604000,382491.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n26,shap,slundberg/shap,,interpretability,https://github.com/slundberg/shap,https://github.com/slundberg/shap,MIT,2016-11-22 19:17:08.000000,2021-12-09 13:56:54.000000,2021-12-04 17:24:08.000000,2178,1209.0,563.0,14834.0,2011.0,A game theoretic approach to explain the output of any machine learning model.,162.0,35,True,2021-10-20 18:36:57.000000,0.40.0,94.0,shap,conda-forge/shap,,,2285812.0,4108.0,3972.0,https://pypi.org/project/shap,2021-10-20 19:13:31.000000,136.0,2267938.0,https://anaconda.org/conda-forge/shap,2021-10-24 14:05:16.285000,714983.0,1.0,-1.0,,,,,,,,,,,,,,,,,,,,,,,,,\n27,onnx,onnx/onnx,,model-serialisation,https://github.com/onnx/onnx,https://github.com/onnx/onnx,Apache-2.0,2017-09-07 04:53:45.000000,2021-12-09 03:34:25.000000,2021-12-09 01:14:34.000000,2215,481.0,1306.0,11779.0,1859.0,Open standard for machine learning interoperability.,216.0,35,True,2021-10-26 19:14:09.000000,1.10.2,24.0,onnx,conda-forge/onnx,,17266.0,722820.0,5191.0,4895.0,https://pypi.org/project/onnx,2021-10-26 19:14:09.000000,296.0,715866.0,https://anaconda.org/conda-forge/onnx,2021-10-24 18:06:22.378000,323841.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n28,nltk,nltk/nltk,,nlp,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58.000000,2021-12-09 11:32:30.000000,2021-12-08 14:19:56.000000,2513,220.0,1358.0,10288.0,,Suite of libraries and programs for symbolic and statistical natural language processing for English.,411.0,35,True,2021-10-11 03:49:05.000000,3.6.5,45.0,nltk,conda-forge/nltk,,,5027399.0,144105.0,123113.0,https://pypi.org/project/nltk,2021-10-11 03:49:05.000000,20992.0,5010620.0,https://anaconda.org/conda-forge/nltk,2021-10-11 12:28:19.966000,1073890.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n29,networkx,networkx/networkx,,graph,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44.000000,2021-12-08 22:04:26.000000,2021-12-06 17:23:40.000000,2431,317.0,2450.0,10009.0,,Network Analysis in Python.,555.0,35,True,2021-09-09 22:09:39.000000,2.6.3,59.0,networkx,conda-forge/networkx,,57.0,9528972.0,113219.0,92401.0,https://pypi.org/project/networkx,2021-09-09 22:09:39.000000,20818.0,9446210.0,https://anaconda.org/conda-forge/networkx,2021-10-26 12:59:30.009000,5131267.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n30,Theano,Theano/Theano,,ml-frameworks,https://github.com/Theano/Theano,https://github.com/Theano/Theano,BSD-3-Clause,2011-08-10 03:48:06.000000,2021-12-01 00:24:43.000000,2021-11-23 08:52:10.000000,2509,679.0,2086.0,9499.0,28127.0,\"Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving..\",384.0,35,True,2020-07-27 16:13:54.000000,1.0.5,45.0,theano,conda-forge/theano,,,149225.0,17336.0,11862.0,https://pypi.org/project/theano,2020-07-27 16:13:54.000000,5474.0,121728.0,https://anaconda.org/conda-forge/theano,2021-11-10 16:59:17.809000,1787352.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n31,pydeck,visgl/deck.gl,,geospatial-data,https://github.com/visgl/deck.gl,https://github.com/visgl/deck.gl,MIT,2015-12-15 08:38:29.000000,2021-12-09 13:46:51.000000,2021-12-09 05:58:27.000000,1676,138.0,2188.0,9280.0,3879.0,WebGL2 powered visualization framework.,185.0,34,True,2021-11-14 22:51:34.270000,8.6.4,503.0,pydeck,conda-forge/pydeck,['jupyter'],,586907.0,2590.0,2028.0,https://pypi.org/project/pydeck,2021-10-25 17:38:40.000000,2.0,348764.0,https://anaconda.org/conda-forge/pydeck,2021-10-26 00:42:05.329000,62532.0,1.0,,,,,,,,,deck.gl,https://www.npmjs.com/package/deck.gl,2021-11-25 18:58:27.006000,560.0,235301.0,,,,,,,,,,,,,\n32,dask,dask/dask,,distributed-ml,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000000,2021-12-08 23:21:14.000000,2021-12-08 20:50:10.000000,1391,740.0,3359.0,9272.0,,Parallel computing with task scheduling.,489.0,34,True,2021-11-19 20:18:29.000000,2021.11.2,132.0,dask,conda-forge/dask,,,4341535.0,36081.0,32165.0,https://pypi.org/project/dask,2021-11-19 20:18:29.000000,3916.0,4271634.0,https://anaconda.org/conda-forge/dask,2021-11-20 05:27:05.139000,4683412.0,1.0,,,,,,,,stable/dask,,,,,,,,,,,,,,,,,,\n33,Pillow,python-pillow/Pillow,,image,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000000,2021-12-08 11:42:37.000000,2021-12-08 11:42:37.000000,1733,174.0,2211.0,9218.0,,The friendly PIL fork (Python Imaging Library).,375.0,34,True,2021-10-15 08:16:09.000000,8.4.0,84.0,Pillow,conda-forge/pillow,,,18617916.0,111426.0,,https://pypi.org/project/Pillow,2021-10-15 08:10:15.000000,111426.0,18444336.0,https://anaconda.org/conda-forge/pillow,2021-11-10 16:07:31.860000,11803483.0,1.0,-1.0,,,,,,,,,,,,,,,,,,,,,,,,,\n34,scikit-image,scikit-image/scikit-image,,image,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,BSD-2-Clause,2011-07-07 22:07:20.000000,2021-12-09 09:06:07.000000,2021-12-09 02:08:58.000000,1923,318.0,2016.0,4666.0,,Image processing in Python.,536.0,34,True,2021-12-03 08:07:17.000000,0.19.0,41.0,scikit-image,conda-forge/scikit-image,,,3755806.0,102441.0,87667.0,https://pypi.org/project/scikit-image,2021-12-03 07:49:37.000000,14774.0,3710260.0,https://anaconda.org/conda-forge/scikit-image,2021-12-01 16:53:56.975000,3051635.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n35,joblib,joblib/joblib,,data-pipelines,https://github.com/joblib/joblib,https://github.com/joblib/joblib,BSD-3-Clause,2010-05-07 06:48:26.000000,2021-11-08 20:50:44.000000,2021-11-08 20:50:44.000000,315,332.0,376.0,2618.0,1385.0,Computing with Python functions.,106.0,34,True,2021-02-09 16:46:29.000000,1.0.1,102.0,joblib,conda-forge/joblib,,,14692592.0,153769.0,147159.0,https://pypi.org/project/joblib,2021-10-07 14:42:42.000000,6610.0,14593886.0,https://anaconda.org/conda-forge/joblib,2021-10-07 20:15:36.705000,6415913.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n36,TF Addons,tensorflow/addons,,tensorflow-utils,https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17.000000,2021-12-08 16:50:32.000000,2021-11-20 15:16:46.000000,480,218.0,691.0,1423.0,1419.0,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,182.0,34,True,2021-11-10 21:09:55.000000,0.15.0,28.0,tensorflow-addons,,['tensorflow'],,3837717.0,4833.0,4815.0,https://pypi.org/project/tensorflow-addons,2021-11-10 21:40:18.000000,18.0,3837717.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n37,Ray,ray-project/ray,,distributed-ml,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000000,2021-12-09 14:50:05.000000,2021-12-09 13:48:56.000000,3085,2148.0,6758.0,18458.0,10654.0,\"An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged..\",601.0,33,True,2021-12-03 19:08:29.000000,ray-1.9.0,60.0,ray,,,,402687.0,3665.0,3505.0,https://pypi.org/project/ray,2021-12-03 03:29:57.000000,160.0,402687.0,,,,1.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,\n38,Bokeh,bokeh/bokeh,,data-viz,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000000,2021-12-09 13:14:32.000000,2021-12-09 00:51:08.000000,3843,715.0,6086.0,15808.0,,\"Interactive Data Visualization in the browser, from Python.\",583.0,33,True,2021-11-22 17:49:14.000000,2.4.2,116.0,bokeh,conda-forge/bokeh,,,1214211.0,47653.0,41781.0,https://pypi.org/project/bokeh,2021-12-09 00:55:55.000000,5872.0,1103979.0,https://anaconda.org/conda-forge/bokeh,2021-11-22 21:24:20.205000,6173013.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n39,luigi,spotify/luigi,,data-pipelines,https://github.com/spotify/luigi,https://github.com/spotify/luigi,Apache-2.0,2012-09-20 15:06:38.000000,2021-12-07 21:33:03.000000,2021-11-27 16:59:30.000000,2303,92.0,850.0,15198.0,4011.0,\"Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution,..\",568.0,33,True,2021-11-06 14:59:15.000000,3.0.3,72.0,luigi,luigi,,,394652.0,2280.0,1604.0,https://pypi.org/project/luigi,2020-09-23 11:57:12.000000,676.0,394531.0,https://anaconda.org/anaconda/luigi,2021-04-17 18:49:18.708000,8506.0,1.0,-1.0,,,,,,,stable/luigi,,,,,,0.0,,,,,,,,,,,,\n40,mlflow,mlflow/mlflow,,ml-experiments,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000000,2021-12-09 14:08:07.000000,2021-12-07 13:32:15.000000,2401,935.0,1171.0,10850.0,2395.0,Open source platform for the machine learning lifecycle.,344.0,33,True,2021-11-30 01:37:44.000000,1.22.0,52.0,mlflow,conda-forge/mlflow,,,7648547.0,154.0,,https://pypi.org/project/mlflow,2021-11-30 00:54:31.000000,154.0,7634415.0,https://anaconda.org/conda-forge/mlflow,2021-12-08 06:29:58.220000,452237.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n41,dlib,davisking/dlib,,ml-frameworks,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000000,2021-12-08 02:49:06.000000,2021-12-08 02:49:06.000000,2987,36.0,1934.0,10758.0,7993.0,A toolkit for making real world machine learning and data analysis applications in C++.,171.0,33,False,2021-08-14 14:21:18.000000,19.22.1,29.0,dlib,conda-forge/dlib,,24811.0,71944.0,13710.0,12352.0,https://pypi.org/project/dlib,2021-08-14 14:21:18.000000,1358.0,65660.0,https://anaconda.org/conda-forge/dlib,2021-04-03 09:47:47.788000,375915.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n42,pandas-profiling,pandas-profiling/pandas-profiling,,data-viz,https://github.com/pandas-profiling/pandas-profiling,https://github.com/pandas-profiling/pandas-profiling,MIT,2016-01-09 23:47:55.000000,2021-12-08 03:25:21.000000,2021-12-06 17:52:39.000000,1194,93.0,433.0,8300.0,922.0,Create HTML profiling reports from pandas DataFrame objects.,83.0,33,True,2021-09-27 23:12:22.000000,3.1.0,31.0,pandas-profiling,conda-forge/pandas-profiling,\"['jupyter', 'pandas']\",,1573710.0,6186.0,6026.0,https://pypi.org/project/pandas-profiling,2021-09-27 23:12:22.000000,160.0,1570899.0,https://anaconda.org/conda-forge/pandas-profiling,2021-09-28 13:50:05.966000,179907.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n43,rq,rq/rq,,data-pipelines,https://github.com/rq/rq,https://github.com/rq/rq,BSD-3-Clause,2011-11-14 10:53:48.000000,2021-12-08 00:31:44.000000,2021-12-07 12:45:48.000000,1261,169.0,767.0,8041.0,1616.0,Simple job queues for Python.,248.0,33,True,2021-12-07 12:48:17.000000,1.10.1,68.0,rq,conda-forge/rq,,,260141.0,12532.0,9208.0,https://pypi.org/project/rq,2021-12-07 12:46:58.000000,3324.0,259136.0,https://anaconda.org/conda-forge/rq,2021-06-30 09:49:43.099000,65342.0,1.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,\n44,StatsModels,statsmodels/statsmodels,,ml-frameworks,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000000,2021-12-08 20:16:50.000000,2021-12-07 17:36:45.000000,2358,2216.0,2441.0,6910.0,,Statsmodels: statistical modeling and econometrics in Python.,347.0,33,True,2021-11-12 23:27:25.000000,0.13.1,28.0,statsmodels,conda-forge/statsmodels,,26.0,3944115.0,60879.0,54223.0,https://pypi.org/project/statsmodels,2021-11-12 23:27:25.000000,6656.0,3862741.0,https://anaconda.org/conda-forge/statsmodels,2021-11-13 01:23:06.115000,5370738.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n45,Optuna,optuna/optuna,,hyperopt,https://github.com/optuna/optuna,https://github.com/optuna/optuna,MIT,2018-02-21 06:12:56.000000,2021-12-09 10:37:30.000000,2021-12-06 14:23:14.000000,614,142.0,880.0,5627.0,11060.0,A hyperparameter optimization framework.,167.0,33,True,2021-10-04 06:37:16.000000,2.10.0,42.0,optuna,conda-forge/optuna,,,500085.0,2362.0,2310.0,https://pypi.org/project/optuna,2021-12-06 06:45:58.000000,52.0,498173.0,https://anaconda.org/conda-forge/optuna,2021-10-04 08:58:48.864000,47808.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n46,Beam,apache/beam,,data-pipelines,https://github.com/apache/beam,https://github.com/apache/beam,Apache-2.0,2016-02-02 08:00:06.000000,2021-12-09 14:54:05.000000,2021-12-09 00:06:46.000000,3275,203.0,,5135.0,33822.0,\"Unified programming model to define and execute data processing pipelines, including ETL, batch and stream processing.\",1177.0,33,True,2021-11-11 20:03:02.000000,2.34.0,47.0,apache-beam,,,,1625179.0,186.0,,https://pypi.org/project/apache-beam,2021-12-08 20:12:59.000000,186.0,1625179.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n47,GeoPandas,geopandas/geopandas,,geospatial-data,https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000000,2021-12-07 10:42:15.000000,2021-12-06 11:32:45.000000,648,403.0,832.0,2905.0,1504.0,Python tools for geographic data.,156.0,33,True,2021-10-16 06:59:55.000000,0.10.2,40.0,geopandas,conda-forge/geopandas,['pandas'],1292.0,1020900.0,12376.0,11210.0,https://pypi.org/project/geopandas,2021-10-16 06:59:50.000000,1166.0,1002858.0,https://anaconda.org/conda-forge/geopandas,2021-12-01 18:19:27.710000,1243644.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n48,Thinc,explosion/thinc,,ml-frameworks,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59.000000,2021-12-08 16:36:35.030000,2021-11-08 07:50:00.000000,223,18.0,97.0,2414.0,5003.0,\"A refreshing functional take on deep learning, compatible with your favorite libraries.\",42.0,33,True,2021-11-05 12:27:02.000000,8.0.13,199.0,thinc,conda-forge/thinc,,,1694831.0,18731.0,17593.0,https://pypi.org/project/thinc,2021-11-05 12:27:02.000000,1138.0,1664633.0,https://anaconda.org/conda-forge/thinc,2021-12-08 16:36:35.030000,1751507.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n49,Graphviz,xflr6/graphviz,,data-viz,https://github.com/xflr6/graphviz,https://github.com/xflr6/graphviz,MIT,2014-01-12 17:49:29.000000,2021-12-06 22:30:29.000000,2021-12-06 22:30:20.000000,162,4.0,116.0,1102.0,1110.0,Simple Python interface for Graphviz.,17.0,33,True,2021-11-15 18:30:42.000000,0.18.2,52.0,graphviz,,,,4809566.0,30542.0,26160.0,https://pypi.org/project/graphviz,2021-11-28 19:51:43.000000,4382.0,4809566.0,,,,1.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,\n50,imageio,imageio/imageio,,image,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000000,2021-12-09 10:32:02.335000,2021-12-08 19:10:14.000000,192,72.0,329.0,959.0,1308.0,Python library for reading and writing image data.,83.0,33,True,2021-12-08 19:10:28.000000,2.13.3,43.0,imageio,conda-forge/imageio,,26.0,5088741.0,56257.0,52419.0,https://pypi.org/project/imageio,2021-12-08 19:10:24.000000,3838.0,5048018.0,https://anaconda.org/conda-forge/imageio,2021-12-09 10:32:02.335000,2402679.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n51,Airflow,apache/airflow,,data-pipelines,https://github.com/apache/airflow,https://github.com/apache/airflow,Apache-2.0,2015-04-13 18:04:58.000000,2021-12-09 14:53:35.000000,2021-12-09 14:02:46.000000,9696,982.0,3765.0,24304.0,,\"Platform to programmatically author, schedule, and monitor workflows.\",2174.0,32,True,2021-11-15 18:37:15.000000,2.2.2,97.0,apache-airflow,conda-forge/airflow,,216672.0,2607237.0,294.0,,https://pypi.org/project/apache-airflow,2021-11-15 16:45:23.000000,294.0,1921000.0,https://anaconda.org/conda-forge/airflow,2021-11-15 23:14:59.448000,501099.0,2.0,,,apache/airflow,https://hub.docker.com/r/apache/airflow,2021-12-07 11:37:03.512727,305.0,53942194.0,stable/airflow,,,,,,,,,,,,,,,,,,\n52,Fastai,fastai/fastai,,ml-frameworks,https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000000,2021-12-07 14:34:43.000000,2021-11-29 01:25:55.000000,7126,96.0,1442.0,21698.0,1851.0,The fastai deep learning library.,605.0,32,True,2021-10-23 07:16:08.000000,2.5.3,126.0,fastai,,['pytorch'],,174400.0,368.0,,https://pypi.org/project/fastai,2021-10-23 07:16:08.000000,368.0,174400.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n53,MXNet,apache/incubator-mxnet,,ml-frameworks,https://github.com/apache/incubator-mxnet,https://github.com/apache/incubator-mxnet,Apache-2.0,2015-04-30 16:21:15.000000,2021-12-09 11:48:10.000000,2021-12-02 18:14:13.000000,6875,1944.0,7692.0,19785.0,11750.0,\"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..\",971.0,32,True,2021-03-21 14:56:00.000000,1.8.0,980.0,mxnet,mxnet,['mxnet'],24303.0,241927.0,444.0,,https://pypi.org/project/mxnet,2021-03-31 20:05:38.000000,444.0,241423.0,https://anaconda.org/anaconda/mxnet,2020-02-29 00:58:31.007000,6837.0,2.0,-1.0,,,,,,,,,,,,,0.0,,,,,,,,,,,,\n54,dash,plotly/dash,,data-viz,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000000,2021-12-09 00:33:54.000000,2021-12-08 14:49:49.000000,1601,555.0,613.0,15542.0,5518.0,\"Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.\",102.0,32,True,2021-09-04 01:00:46.000000,2.0.0,142.0,dash,conda-forge/dash,,,401841.0,1768.0,160.0,https://pypi.org/project/dash,2021-09-04 00:32:40.000000,1608.0,394118.0,https://anaconda.org/conda-forge/dash,2021-09-21 14:47:05.413000,332122.0,2.0,-1.0,,,,,,,,,,,,,,,,,,,,,,,,,\n55,imgaug,aleju/imgaug,,image,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33.000000,2021-10-27 15:54:07.000000,2020-06-01 14:58:26.000000,2151,256.0,219.0,12080.0,2913.0,Image augmentation for machine learning experiments.,36.0,32,False,2020-02-06 06:18:40.000000,0.4.0,11.0,imgaug,conda-forge/imgaug,,,143650.0,8913.0,8357.0,https://pypi.org/project/imgaug,2020-02-05 20:54:22.000000,556.0,141701.0,https://anaconda.org/conda-forge/imgaug,2020-02-14 16:06:53.525000,58471.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n56,tensor2tensor,tensorflow/tensor2tensor,,tensorflow-utils,https://github.com/tensorflow/tensor2tensor,https://github.com/tensorflow/tensor2tensor,Apache-2.0,2017-06-15 16:57:39.000000,2021-12-02 18:50:34.000000,2021-12-02 18:50:33.000000,2929,563.0,669.0,11839.0,4361.0,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,235.0,32,True,2020-06-17 16:15:36.000000,1.15.7,79.0,tensor2tensor,,['tensorflow'],,174447.0,1252.0,1088.0,https://pypi.org/project/tensor2tensor,2020-06-17 16:15:36.000000,164.0,174447.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n57,AllenNLP,allenai/allennlp,,nlp,https://github.com/allenai/allennlp,https://github.com/allenai/allennlp,Apache-2.0,2017-05-15 15:52:41.000000,2021-12-09 01:37:56.000000,2021-12-09 01:37:55.000000,2144,108.0,2369.0,10676.0,2357.0,\"An open-source NLP research library, built on PyTorch.\",253.0,32,True,2021-11-01 21:44:06.000000,2.8.0,236.0,allennlp,,['pytorch'],43.0,21746.0,2351.0,2117.0,https://pypi.org/project/allennlp,2021-11-01 21:44:06.000000,234.0,21746.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n58,torchvision,pytorch/vision,,image,https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000000,2021-12-09 14:18:36.000000,2021-12-09 14:16:49.000000,5301,568.0,1536.0,10476.0,,\"Datasets, Transforms and Models specific to Computer Vision.\",443.0,32,True,2021-10-21 16:58:04.000000,0.11.1,27.0,torchvision,conda-forge/torchvision,['pytorch'],,1810266.0,4612.0,,https://pypi.org/project/torchvision,2021-10-21 16:53:30.000000,4612.0,1807072.0,https://anaconda.org/conda-forge/torchvision,2021-09-27 23:35:13.750000,153355.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n59,Albumentations,albumentations-team/albumentations,,image,https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000000,2021-12-09 12:54:35.000000,2021-12-09 12:41:51.000000,1170,239.0,325.0,9293.0,690.0,Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation:..,98.0,32,True,2021-10-04 09:30:33.000000,1.1.0,49.0,albumentations,conda-forge/albumentations,['pytorch'],,122117.0,6079.0,5951.0,https://pypi.org/project/albumentations,2021-10-04 09:30:33.000000,128.0,121163.0,https://anaconda.org/conda-forge/albumentations,2021-07-15 13:53:18.638000,28642.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n60,MoviePy,Zulko/moviepy,,image,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000000,2021-11-14 16:13:10.000000,2021-11-12 17:14:13.000000,1163,340.0,763.0,8773.0,1072.0,Video editing with Python.,144.0,32,True,2020-05-07 16:29:35.000000,1.0.3,84.0,moviepy,conda-forge/moviepy,,,844622.0,13227.0,12097.0,https://pypi.org/project/moviepy,2020-10-05 00:26:29.000000,1130.0,842765.0,https://anaconda.org/conda-forge/moviepy,2020-02-23 19:57:49.975000,98426.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n61,Altair,altair-viz/altair,,data-viz,https://github.com/altair-viz/altair,https://github.com/altair-viz/altair,BSD-3-Clause,2015-09-19 03:14:04.000000,2021-12-03 04:24:08.000000,2021-11-19 14:06:58.000000,630,240.0,1344.0,7086.0,3097.0,Declarative statistical visualization library for Python.,133.0,32,True,2020-04-01 13:29:16.000000,4.1.0,27.0,altair,conda-forge/altair,,,2058425.0,19617.0,19247.0,https://pypi.org/project/altair,2021-11-19 14:11:43.000000,370.0,2042461.0,https://anaconda.org/conda-forge/altair,2020-04-01 16:49:36.519000,1037688.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n62,Hyperopt,hyperopt/hyperopt,,hyperopt,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59.000000,2021-11-30 14:23:20.000000,2021-11-29 10:21:36.000000,924,355.0,231.0,5978.0,1194.0,Distributed Asynchronous Hyperparameter Optimization in Python.,93.0,32,True,2021-11-17 10:05:44.000000,0.2.7,13.0,hyperopt,conda-forge/hyperopt,,,999606.0,5849.0,5345.0,https://pypi.org/project/hyperopt,2021-11-17 10:05:44.000000,504.0,991867.0,https://anaconda.org/conda-forge/hyperopt,2020-10-14 07:57:14.292000,301839.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n63,imbalanced-learn,scikit-learn-contrib/imbalanced-learn,,sklearn-utils,https://github.com/scikit-learn-contrib/imbalanced-learn,https://github.com/scikit-learn-contrib/imbalanced-learn,MIT,2014-08-16 05:08:26.000000,2021-12-08 12:43:13.000000,2021-12-07 14:20:09.000000,1131,56.0,439.0,5605.0,757.0,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,61.0,32,True,2021-09-29 13:11:34.000000,0.8.1,28.0,imbalanced-learn,conda-forge/imbalanced-learn,['sklearn'],,1318500.0,8577.0,8297.0,https://pypi.org/project/imbalanced-learn,2021-09-29 12:58:22.000000,280.0,1315033.0,https://anaconda.org/conda-forge/imbalanced-learn,2021-09-29 14:10:14.261000,173367.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n64,CuPy,cupy/cupy,,gpu-utilities,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000000,2021-12-09 12:00:28.000000,2021-12-09 11:59:52.000000,533,366.0,1256.0,5589.0,24045.0,NumPy & SciPy for GPU.,287.0,32,True,2021-12-09 06:46:26.000000,10.0.0,105.0,cupy,conda-forge/cupy,,23003.0,100046.0,1079.0,887.0,https://pypi.org/project/cupy,2021-12-09 03:55:11.000000,192.0,57680.0,https://anaconda.org/conda-forge/cupy,2021-11-12 15:11:06.183000,1067510.0,1.0,,,cupy/cupy,https://hub.docker.com/r/cupy/cupy,2021-12-09 06:50:02.321705,7.0,53363.0,,,,,,,,,,,,,,,,,,,\n65,UMAP,lmcinnes/umap,,data-viz,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17.000000,2021-12-03 13:30:07.000000,2021-12-03 13:30:07.000000,587,303.0,285.0,5249.0,1506.0,Uniform Manifold Approximation and Projection.,94.0,32,True,2021-10-29 16:33:56.000000,0.5.2,36.0,umap-learn,,,,876433.0,4401.0,4175.0,https://pypi.org/project/umap-learn,2021-10-29 16:33:56.000000,226.0,876433.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n66,MLxtend,rasbt/mlxtend,,sklearn-utils,https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16.000000,2021-11-29 20:19:30.000000,2021-11-29 20:19:30.000000,729,99.0,297.0,3721.0,1249.0,A library of extension and helper modules for Python's data analysis and machine learning libraries.,85.0,32,True,2021-09-03 00:02:55.000000,0.19.0,47.0,mlxtend,conda-forge/mlxtend,['sklearn'],,709997.0,4912.0,4722.0,https://pypi.org/project/mlxtend,2021-09-03 00:02:55.000000,190.0,706411.0,https://anaconda.org/conda-forge/mlxtend,2021-09-03 13:27:33.719000,190078.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n67,geopy,geopy/geopy,,geospatial-data,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000000,2021-11-08 14:42:04.000000,2021-09-26 10:28:21.000000,555,24.0,227.0,3503.0,1072.0,Geocoding library for Python.,123.0,32,True,2021-07-11 12:18:10.000000,2.2.0,58.0,geopy,conda-forge/geopy,,,1543470.0,37433.0,30189.0,https://pypi.org/project/geopy,2021-07-11 12:15:26.000000,7244.0,1534356.0,https://anaconda.org/conda-forge/geopy,2021-07-12 18:34:05.605000,628870.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n68,SageMaker SDK,aws/sagemaker-python-sdk,,ml-experiments,https://github.com/aws/sagemaker-python-sdk,https://github.com/aws/sagemaker-python-sdk,Apache-2.0,2017-11-14 01:03:33.000000,2021-12-08 23:34:50.000000,2021-12-08 23:34:50.000000,715,316.0,637.0,1521.0,2291.0,A library for training and deploying machine learning models on Amazon SageMaker.,236.0,32,True,2021-12-06 16:33:12.000000,2.71.0,393.0,sagemaker,,\"['mxnet', 'tensorflow']\",,1025522.0,991.0,963.0,https://pypi.org/project/sagemaker,2021-12-02 06:12:11.000000,28.0,1025522.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n69,dask.distributed,dask/distributed,,distributed-ml,https://github.com/dask/distributed,https://github.com/dask/distributed,BSD-3-Clause,2015-09-13 18:42:29.000000,2021-12-09 13:28:28.000000,2021-12-08 20:22:11.000000,573,874.0,1644.0,1278.0,,A distributed task scheduler for Dask.,256.0,32,True,2021-11-08 17:52:26.000000,2021.11.1,163.0,distributed,conda-forge/distributed,,,4637891.0,23014.0,21236.0,https://pypi.org/project/distributed,2021-11-19 20:18:31.000000,1778.0,4549913.0,https://anaconda.org/conda-forge/distributed,2021-11-20 03:39:26.127000,5894567.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n70,Keras,keras-team/keras,,ml-frameworks,https://github.com/keras-team/keras,https://github.com/keras-team/keras,Apache-2.0,2015-03-28 00:35:42.000000,2021-12-08 19:01:44.000000,2021-12-08 17:48:14.000000,18898,247.0,10762.0,53405.0,6272.0,Deep Learning for humans.,1008.0,31,True,2021-11-03 16:24:54.000000,2.7.0,58.0,keras,conda-forge/keras,['tensorflow'],,4123692.0,0.0,,https://pypi.org/project/keras,2021-11-03 16:16:34.000000,0.0,4093028.0,https://anaconda.org/conda-forge/keras,2021-11-25 20:30:37.739000,1962545.0,2.0,,https://keras.io,,,,,,,,,,,,,,,,,,,,,,,,\n71,PaddlePaddle,PaddlePaddle/Paddle,,ml-frameworks,https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000000,2021-12-09 13:59:54.000000,2021-12-09 13:59:54.000000,4158,2798.0,11853.0,17165.0,15069.0,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,669.0,31,True,2021-12-08 05:04:30.000000,2.2.1,51.0,paddlepaddle,,['paddle'],15306.0,55661.0,97.0,81.0,https://pypi.org/project/paddlepaddle,2021-12-02 06:01:39.000000,16.0,55422.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n72,jax,google/jax,,ml-frameworks,https://github.com/google/jax,https://github.com/google/jax,Apache-2.0,2018-10-25 21:25:02.000000,2021-12-09 14:04:05.000000,2021-12-09 06:04:46.000000,1410,918.0,1972.0,15284.0,,\"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.\",341.0,31,True,2021-12-08 19:21:57.000000,0.2.26,105.0,jax,conda-forge/jaxlib,,,2735735.0,3068.0,3022.0,https://pypi.org/project/jax,2021-12-08 19:21:57.000000,46.0,2727451.0,https://anaconda.org/conda-forge/jaxlib,2021-11-20 03:39:49.053000,240236.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n73,ChatterBot,gunthercox/ChatterBot,,nlp,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00.000000,2021-11-24 23:13:22.000000,2021-06-01 10:43:00.000000,3910,300.0,1247.0,11784.0,1848.0,\"ChatterBot is a machine learning, conversational dialog engine for creating chat bots.\",103.0,31,True,2020-08-22 18:42:43.000000,1.0.8,86.0,chatterbot,,,,17764.0,4708.0,4028.0,https://pypi.org/project/chatterbot,2020-08-22 18:40:36.000000,680.0,17764.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n74,pyecharts,pyecharts/pyecharts,,data-viz,https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000000,2021-11-16 07:17:28.000000,2021-11-16 06:25:52.000000,2559,24.0,1497.0,11761.0,1522.0,Python Echarts Plotting Library.,30.0,31,True,2021-11-16 06:27:35.000000,1.9.1,67.0,pyecharts,,['jupyter'],,47742.0,2220.0,1938.0,https://pypi.org/project/pyecharts,2021-11-16 06:27:35.000000,282.0,47742.0,,,,2.0,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,,,,,,,,,,,,,,,,,,,,,,,,\n75,flair,flairNLP/flair,,nlp,https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,MIT,2018-06-11 11:04:18.000000,2021-12-09 09:21:33.000000,2021-12-04 13:35:01.000000,1769,88.0,1614.0,11031.0,3981.0,A very simple framework for state-of-the-art Natural Language Processing (NLP).,214.0,31,True,2021-11-18 08:33:59.000000,0.10,23.0,flair,,['pytorch'],,44828.0,1116.0,1068.0,https://pypi.org/project/flair,2021-11-18 08:22:02.000000,48.0,44828.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n76,glfw,glfw/glfw,,image,https://github.com/glfw/glfw,https://github.com/glfw/glfw,Zlib,2013-04-18 15:24:53.000000,2021-12-05 16:52:47.000000,2021-12-01 20:13:00.000000,3187,466.0,1058.0,8374.0,4362.0,\"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.\",176.0,31,False,2021-11-07 10:21:30.000000,2.4.0,41.0,glfw,conda-forge/glfw,,2547446.0,75008.0,215.0,1.0,https://pypi.org/project/glfw,2021-11-07 10:21:30.000000,214.0,42334.0,https://anaconda.org/conda-forge/glfw,2021-10-29 00:59:54.298000,41651.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n77,TextBlob,sloria/TextBlob,,nlp,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18.000000,2021-12-09 03:19:59.000000,2021-10-22 03:17:05.000000,1042,97.0,154.0,7972.0,535.0,\"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..\",35.0,31,True,2021-10-22 03:18:24.000000,0.17.1,57.0,textblob,conda-forge/textblob,,97.0,432323.0,18532.0,16040.0,https://pypi.org/project/textblob,2021-10-22 03:18:24.000000,2492.0,430056.0,https://anaconda.org/conda-forge/textblob,2019-02-24 23:32:55.233000,145111.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n78,Prefect,PrefectHQ/prefect,,data-pipelines,https://github.com/PrefectHQ/prefect,https://github.com/PrefectHQ/prefect,Apache-2.0,2018-06-29 21:59:26.000000,2021-12-09 01:58:12.000000,2021-12-08 16:51:31.000000,743,386.0,1593.0,7905.0,14224.0,The easiest way to automate your data.,275.0,31,True,2021-12-01 00:24:16.000000,0.15.10,110.0,prefect,conda-forge/prefect,,,110836.0,523.0,521.0,https://pypi.org/project/prefect,2021-12-01 00:24:16.000000,2.0,103989.0,https://anaconda.org/conda-forge/prefect,2021-12-01 07:32:48.953000,225982.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n79,tensorboardX,lanpa/tensorboardX,,ml-experiments,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19.000000,2021-11-21 09:12:04.000000,2021-09-12 12:57:41.000000,841,74.0,361.0,7181.0,474.0,\"tensorboard for pytorch (and chainer, mxnet, numpy, ...).\",67.0,31,True,2021-11-21 09:12:04.000000,2.4.1,16.0,tensorboardX,conda-forge/tensorboardx,,341.0,372025.0,17257.0,15923.0,https://pypi.org/project/tensorboardX,2021-11-21 09:12:04.000000,1334.0,358737.0,https://anaconda.org/conda-forge/tensorboardx,2021-08-10 02:00:22.589000,624278.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n80,Catboost,catboost/catboost,,ml-frameworks,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000000,2021-12-08 11:15:58.000000,2021-12-08 11:15:55.000000,937,313.0,1356.0,6253.0,19739.0,\"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..\",924.0,31,True,2021-11-04 04:25:01.000000,1.0.3,100.0,catboost,conda-forge/catboost,,69453.0,1679875.0,162.0,,https://pypi.org/project/catboost,2021-11-04 02:36:37.000000,162.0,1658124.0,https://anaconda.org/conda-forge/catboost,2021-11-09 18:53:14.338000,876782.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n81,Dagster,dagster-io/dagster,,data-pipelines,https://github.com/dagster-io/dagster,https://github.com/dagster-io/dagster,Apache-2.0,2018-04-30 16:30:04.000000,2021-12-09 06:07:57.000000,2021-12-09 06:04:44.000000,486,839.0,2678.0,4063.0,9228.0,\"An orchestration platform for the development, production, and observation of data assets.\",175.0,31,True,2021-12-02 23:03:07.000000,0.13.10,406.0,dagster,conda-forge/dagster,,,114166.0,273.0,269.0,https://pypi.org/project/dagster,2021-12-02 21:29:40.000000,4.0,97501.0,https://anaconda.org/conda-forge/dagster,2021-12-03 22:04:26.615000,416630.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n82,TensorFlow Datasets,tensorflow/datasets,,tensorflow-utils,https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000000,2021-12-09 14:54:35.000000,2021-12-08 21:04:38.000000,1171,528.0,595.0,3080.0,4413.0,\"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...\",230.0,31,True,2021-07-28 12:29:08.000000,4.4.0,23.0,tensorflow-datasets,,['tensorflow'],,985317.0,102.0,,https://pypi.org/project/tensorflow-datasets,2021-07-28 12:24:01.000000,102.0,985317.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n83,tensorflow-hub,tensorflow/hub,,tensorflow-utils,https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42.000000,2021-11-25 14:02:51.000000,2021-11-25 14:02:49.000000,1599,12.0,613.0,3000.0,1015.0,A library for transfer learning by reusing parts of TensorFlow models.,83.0,31,True,2021-04-14 13:17:26.000000,0.12.0,15.0,tensorflow-hub,conda-forge/tensorflow-hub,['tensorflow'],,1826052.0,9737.0,9423.0,https://pypi.org/project/tensorflow-hub,2021-04-14 12:54:13.000000,314.0,1824644.0,https://anaconda.org/conda-forge/tensorflow-hub,2021-04-18 18:01:14.779000,59166.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n84,numexpr,pydata/numexpr,,data-containers,https://github.com/pydata/numexpr,https://github.com/pydata/numexpr,MIT,2013-11-30 22:33:48.000000,2021-12-08 00:21:27.000000,2021-12-08 00:21:26.000000,174,60.0,256.0,1687.0,699.0,\"Fast numerical array expression evaluator for Python, NumPy, PyTables, pandas, bcolz and more.\",59.0,31,True,2021-12-02 06:01:02.000000,2.8.0,41.0,numexpr,conda-forge/numexpr,,,990032.0,5482.0,,https://pypi.org/project/numexpr,2021-12-02 06:01:02.000000,5482.0,937562.0,https://anaconda.org/conda-forge/numexpr,2021-11-16 18:28:45.809000,3358137.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n85,Wand,emcconville/wand,,image,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000000,2021-11-20 16:28:51.000000,2021-11-20 16:28:47.000000,189,18.0,347.0,1129.0,1741.0,The ctypes-based simple ImageMagick binding for Python.,97.0,31,True,2021-08-17 02:43:04.000000,0.6.7,49.0,wand,,,5270.0,197771.0,8937.0,7767.0,https://pypi.org/project/wand,2021-08-17 02:13:00.000000,1170.0,197629.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n86,jieba,fxsjy/jieba,,chinese-nlp,https://github.com/fxsjy/jieba,https://github.com/fxsjy/jieba,MIT,2012-09-29 07:52:01.000000,2021-07-25 14:17:48.000000,2020-02-15 08:33:35.000000,6399,624.0,207.0,27498.0,523.0,Chinese Words Segmentation Utilities.,48.0,30,False,2020-01-20 14:27:23.000000,0.42.1,32.0,jieba,conda-forge/jieba,,,262875.0,14399.0,11883.0,https://pypi.org/project/jieba,2020-01-20 14:27:23.000000,2516.0,261104.0,https://anaconda.org/conda-forge/jieba,2021-05-30 19:33:02.597000,99191.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n87,fastText,facebookresearch/fastText,,nlp,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000000,2021-12-09 13:04:06.000000,2020-07-18 00:20:40.000000,4392,470.0,596.0,23187.0,379.0,Library for fast text representation and classification.,58.0,30,False,2020-04-28 09:54:50.000000,0.9.2,35.0,fasttext,conda-forge/fasttext,,,237985.0,2567.0,2377.0,https://pypi.org/project/fasttext,2020-04-28 09:54:50.000000,190.0,237481.0,https://anaconda.org/conda-forge/fasttext,2021-11-08 12:46:40.327000,25202.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n88,PyTorch Image Models,rwightman/pytorch-image-models,,image,https://github.com/rwightman/pytorch-image-models,https://github.com/rwightman/pytorch-image-models,Apache-2.0,2019-02-02 05:51:12.000000,2021-12-08 22:15:14.000000,2021-11-24 21:21:24.000000,2348,57.0,373.0,15063.0,1215.0,\"PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision..\",61.0,30,True,2021-10-04 00:02:48.000000,0.1-rsb-weights,27.0,,,['pytorch'],763978.0,24644.0,1547.0,1547.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n89,zipline,quantopian/zipline,,financial-data,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29.000000,2021-11-01 20:36:25.000000,2020-10-14 16:36:49.000000,4203,346.0,651.0,14694.0,6226.0,\"Zipline, a Pythonic Algorithmic Trading Library.\",153.0,30,False,2020-10-05 15:46:20.429000,1.4.1,30.0,zipline,,,,2039.0,956.0,798.0,https://pypi.org/project/zipline,2020-10-05 15:46:20.429000,158.0,2039.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n90,EasyOCR,JaidedAI/EasyOCR,,ocr,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000000,2021-12-09 09:49:44.000000,2021-10-15 02:56:26.000000,1689,136.0,326.0,13287.0,474.0,\"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..\",90.0,30,True,2021-09-11 09:38:37.000000,1.4.1,25.0,easyocr,,,842330.0,109586.0,737.0,737.0,https://pypi.org/project/easyocr,2021-09-11 09:38:37.000000,0.0,62790.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n91,horovod,horovod/horovod,,distributed-ml,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000000,2021-12-09 13:59:37.000000,2021-12-09 08:56:08.000000,1931,266.0,1658.0,11915.0,1107.0,\"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.\",140.0,30,True,2021-10-06 18:03:55.000000,0.23.0,67.0,horovod,,,,26974.0,509.0,469.0,https://pypi.org/project/horovod,2021-10-06 18:03:55.000000,40.0,26974.0,,,,2.0,,,,,,,,stable/horovod,,,,,,,,,,,,,,,,,,\n92,Lime,marcotcr/lime,,interpretability,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10.000000,2021-10-19 11:55:10.000000,2021-07-29 23:17:25.000000,1486,21.0,525.0,9376.0,531.0,Lime: Explaining the predictions of any machine learning classifier.,61.0,30,True,2020-04-03 22:05:03.000000,0.2.0.0,38.0,lime,conda-forge/lime,,,726087.0,1897.0,1769.0,https://pypi.org/project/lime,2020-06-26 21:38:15.000000,128.0,724622.0,https://anaconda.org/conda-forge/lime,2020-06-28 01:02:41.538000,87929.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n93,DVC,iterative/dvc,,ml-experiments,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000000,2021-12-09 13:20:22.000000,2021-12-09 13:20:22.000000,865,575.0,2844.0,8965.0,7144.0,Data Version Control | Git for Data & Models | ML Experiments Management.,252.0,30,True,2021-12-07 22:02:37.000000,2.9.1,342.0,dvc,conda-forge/dvc,,46955.0,214373.0,46.0,,https://pypi.org/project/dvc,2021-12-07 22:02:37.000000,46.0,179053.0,https://anaconda.org/conda-forge/dvc,2021-11-22 10:54:48.065000,944183.0,2.0,,,,,,,,,,,,,,,dvc,dvc,dvc,,,,,,,,,\n94,fuzzywuzzy,seatgeek/fuzzywuzzy,,nlp,https://github.com/seatgeek/fuzzywuzzy,https://github.com/seatgeek/fuzzywuzzy,GPL-2.0,2011-07-08 19:32:34.000000,2021-11-02 23:56:01.000000,2021-09-09 20:54:41.000000,859,103.0,102.0,8570.0,384.0,Fuzzy String Matching in Python.,70.0,30,False,2020-02-13 22:14:12.000000,0.18.0,27.0,fuzzywuzzy,conda-forge/fuzzywuzzy,,,2710313.0,13770.0,10564.0,https://pypi.org/project/fuzzywuzzy,2020-02-13 21:06:25.000000,3206.0,2705088.0,https://anaconda.org/conda-forge/fuzzywuzzy,2020-11-18 12:59:01.409000,339681.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n95,wordcloud,amueller/word_cloud,,data-viz,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59.000000,2021-11-19 09:10:54.000000,2021-11-13 00:48:18.000000,2144,110.0,360.0,8466.0,549.0,A little word cloud generator in Python.,64.0,30,True,2020-11-11 21:41:02.000000,1.8.1,16.0,wordcloud,conda-forge/wordcloud,,,380693.0,1104.0,,https://pypi.org/project/wordcloud,2020-11-11 21:41:02.000000,1104.0,376790.0,https://anaconda.org/conda-forge/wordcloud,2021-11-15 20:34:05.364000,249854.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n96,sentence-transformers,UKPLab/sentence-transformers,,nlp,https://github.com/UKPLab/sentence-transformers,https://github.com/UKPLab/sentence-transformers,Apache-2.0,2019-07-24 10:53:51.000000,2021-12-07 01:00:16.000000,2021-11-12 13:49:35.000000,1258,590.0,601.0,6631.0,1016.0,Multilingual Sentence & Image Embeddings with BERT.,67.0,30,True,2021-10-01 09:10:30.000000,2.1.0,40.0,sentence-transformers,,['pytorch'],,281985.0,2019.0,2019.0,https://pypi.org/project/sentence-transformers,2021-10-01 08:44:06.000000,0.0,281985.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n97,Pydub,jiaaro/pydub,,audio,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38.000000,2021-11-08 23:25:49.000000,2021-06-08 14:06:40.000000,767,204.0,253.0,5752.0,742.0,Manipulate audio with a simple and easy high level interface.,90.0,30,True,2021-03-10 02:10:41.000000,0.25.1,68.0,pydub,conda-forge/pydub,,,461491.0,11121.0,9767.0,https://pypi.org/project/pydub,2021-03-10 02:09:53.000000,1354.0,460943.0,https://anaconda.org/conda-forge/pydub,2021-03-13 05:16:50.142000,19750.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n98,Chainer,chainer/chainer,,ml-frameworks,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37.000000,2021-06-10 09:05:27.000000,2021-06-10 08:30:31.000000,1374,18.0,2026.0,5647.0,30595.0,A flexible framework of neural networks for deep learning.,320.0,30,True,2021-06-10 09:05:28.000000,7.8.0,110.0,chainer,,,,13295.0,3181.0,2439.0,https://pypi.org/project/chainer,2021-06-10 08:29:05.000000,742.0,13295.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n99,sentencepiece,google/sentencepiece,,nlp,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000000,2021-12-06 11:05:06.000000,2021-07-02 15:44:09.000000,727,45.0,441.0,5513.0,697.0,Unsupervised text tokenizer for Neural Network-based text generation.,57.0,30,True,2021-06-18 09:34:31.000000,0.1.96,31.0,sentencepiece,conda-forge/sentencepiece,,18345.0,1661961.0,11674.0,11434.0,https://pypi.org/project/sentencepiece,2021-06-18 09:34:31.000000,240.0,1654029.0,https://anaconda.org/conda-forge/sentencepiece,2021-11-05 06:32:08.219000,127066.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n100,PyOD,yzhao062/pyod,,others,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04.000000,2021-11-09 11:41:55.000000,2021-11-01 13:46:08.000000,985,122.0,113.0,5065.0,1398.0,A Python Toolbox for Scalable Outlier Detection (Anomaly Detection).,31.0,30,True,2021-10-27 18:18:19.000000,0.9.5,73.0,pyod,,,,289634.0,1007.0,1001.0,https://pypi.org/project/pyod,2021-10-27 18:16:43.000000,6.0,289634.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n101,PyCaret,pycaret/pycaret,,ml-experiments,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000000,2021-12-09 14:04:23.000000,2021-12-09 12:07:45.000000,1038,197.0,1019.0,4494.0,1998.0,\"An open-source, low-code machine learning library in Python.\",66.0,30,True,2021-11-19 19:07:34.000000,2.3.5,74.0,pycaret,,,490.0,168228.0,1570.0,1570.0,https://pypi.org/project/pycaret,2021-11-19 19:07:34.000000,0.0,168200.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n102,dbt,fishtown-analytics/dbt,,data-pipelines,https://github.com/dbt-labs/dbt-core,https://github.com/dbt-labs/dbt-core,Apache-2.0,2016-03-10 02:38:00.000000,2021-12-08 19:06:32.000000,2021-12-08 16:30:41.000000,704,283.0,2097.0,3881.0,2481.0,dbt enables data analysts and engineers to transform their data using the same practices that software engineers use..,189.0,30,True,2021-12-06 20:32:12.000000,1.0.0,173.0,dbt,conda-forge/dbt,,9.0,399137.0,243.0,225.0,https://pypi.org/project/dbt,2021-12-06 20:32:12.000000,18.0,396059.0,https://anaconda.org/conda-forge/dbt,2021-11-30 14:26:12.735000,187785.0,2.0,,,,,,,,,,,,,,,dbt,,,dbt-labs/dbt-core,,,,,,,,\n103,AzureML SDK,Azure/MachineLearningNotebooks,,ml-experiments,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000000,2021-12-02 02:53:01.000000,2021-11-08 17:48:25.000000,1954,199.0,1013.0,2782.0,1162.0,Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft.,57.0,30,True,2021-10-11 15:20:56.000000,1.35.0,83.0,azureml-sdk,,,426.0,1006220.0,60.0,,https://pypi.org/project/azureml-sdk,2021-11-08 15:39:29.000000,60.0,1006209.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n104,mrjob,Yelp/mrjob,,data-pipelines,https://github.com/Yelp/mrjob,https://github.com/Yelp/mrjob,Apache-2.0,2010-10-13 18:35:21.000000,2021-11-08 11:23:32.000000,2020-11-16 22:20:52.000000,590,203.0,1092.0,2571.0,8622.0,Run MapReduce jobs on Hadoop or Amazon Web Services.,142.0,30,False,2020-09-17 22:26:01.000000,0.7.4,60.0,mrjob,conda-forge/mrjob,,,64376.0,1008.0,896.0,https://pypi.org/project/mrjob,2020-09-17 22:26:01.000000,112.0,57745.0,https://anaconda.org/conda-forge/mrjob,2020-12-24 22:44:29.424000,417789.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n105,Shapely,Toblerity/Shapely,,geospatial-data,https://github.com/Toblerity/Shapely,https://github.com/Toblerity/Shapely,BSD-3-Clause,2011-12-31 19:43:11.000000,2021-12-05 14:51:08.000000,2021-12-05 13:00:48.000000,440,143.0,657.0,2532.0,,Manipulation and analysis of geometric objects.,131.0,30,True,2021-10-25 16:52:16.000000,1.8.0,105.0,shapely,conda-forge/shapely,,,3147116.0,29889.0,24431.0,https://pypi.org/project/shapely,2021-10-25 16:26:07.000000,5458.0,3106126.0,https://anaconda.org/conda-forge/shapely,2021-11-20 09:37:12.537000,3033263.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n106,Keras Tuner,keras-team/keras-tuner,,hyperopt,https://github.com/keras-team/keras-tuner,https://github.com/keras-team/keras-tuner,Apache-2.0,2019-06-06 22:38:21.000000,2021-12-09 05:20:34.000000,2021-12-04 05:01:06.000000,308,166.0,197.0,2429.0,861.0,Hyperparameter tuning for humans.,40.0,30,True,2021-11-05 17:28:50.000000,1.1.0,11.0,keras-tuner,,['tensorflow'],,491808.0,1005.0,1001.0,https://pypi.org/project/keras-tuner,2021-11-05 17:28:50.000000,4.0,491808.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n107,opencv-python,opencv/opencv-python,,image,https://github.com/opencv/opencv-python,https://github.com/opencv/opencv-python,MIT,2016-04-08 13:36:40.000000,2021-12-08 09:10:25.000000,2021-12-03 06:59:13.000000,471,38.0,463.0,2393.0,813.0,\"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..\",36.0,30,True,2021-11-19 15:28:16.000000,60,59.0,opencv-python,,,,2573225.0,12560.0,,https://pypi.org/project/opencv-python,2021-11-22 05:47:48.000000,12560.0,2573225.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n108,xarray,pydata/xarray,,data-containers,https://github.com/pydata/xarray,https://github.com/pydata/xarray,Apache-2.0,2013-09-30 17:21:10.000000,2021-12-06 22:04:06.000000,2021-12-06 18:44:44.000000,739,917.0,2186.0,2339.0,,N-D labeled arrays and datasets in Python.,345.0,30,True,2021-11-05 17:03:48.000000,0.20.1,62.0,xarray,conda-forge/xarray,,,847299.0,9555.0,8423.0,https://pypi.org/project/xarray,2021-11-05 17:03:48.000000,1132.0,784617.0,https://anaconda.org/conda-forge/xarray,2021-11-08 01:21:44.036000,4325105.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n109,scikit-optimize,scikit-optimize/scikit-optimize,,hyperopt,https://github.com/scikit-optimize/scikit-optimize,https://github.com/scikit-optimize/scikit-optimize,BSD-3-Clause,2016-03-20 21:10:54.000000,2021-12-02 15:41:32.000000,2021-10-12 13:32:38.000000,417,232.0,385.0,2245.0,1570.0,Sequential model-based optimization with a `scipy.optimize` interface.,75.0,30,True,2021-10-12 15:33:19.000000,0.9.0,23.0,scikit-optimize,conda-forge/scikit-optimize,,,304220.0,2362.0,2202.0,https://pypi.org/project/scikit-optimize,2021-10-12 14:21:32.000000,160.0,294454.0,https://anaconda.org/conda-forge/scikit-optimize,2021-10-24 07:56:21.816000,517609.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n110,ImageHash,JohannesBuchner/imagehash,,image,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48.000000,2021-11-28 20:34:50.000000,2021-09-07 19:15:32.000000,283,13.0,92.0,2196.0,209.0,A Python Perceptual Image Hashing Module.,20.0,30,True,2021-07-15 12:35:01.000000,4.2.1,18.0,ImageHash,conda-forge/imagehash,,,590392.0,4401.0,3869.0,https://pypi.org/project/ImageHash,2021-07-15 12:35:01.000000,532.0,587732.0,https://anaconda.org/conda-forge/imagehash,2021-07-15 15:00:27.543000,162294.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n111,category_encoders,scikit-learn-contrib/category_encoders,,sklearn-utils,https://github.com/scikit-learn-contrib/category_encoders,https://github.com/scikit-learn-contrib/category_encoders,BSD-3-Clause,2015-11-29 19:32:37.000000,2021-11-28 14:52:41.000000,2021-11-16 22:47:58.000000,336,78.0,161.0,1793.0,740.0,A library of sklearn compatible categorical variable encoders.,48.0,30,True,2021-10-13 15:40:27.000000,2.3.0-rerelease,19.0,category_encoders,conda-forge/category_encoders,['sklearn'],,522384.0,2763.0,2740.0,https://pypi.org/project/category_encoders,2018-10-14 14:15:54.000000,23.0,520326.0,https://anaconda.org/conda-forge/category_encoders,2021-10-13 18:33:34.503000,133808.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n112,Rasterio,mapbox/rasterio,,geospatial-data,https://github.com/rasterio/rasterio,https://github.com/rasterio/rasterio,BSD-3-Clause,2013-11-04 16:36:27.000000,2021-12-08 23:25:20.000000,2021-12-01 01:16:13.000000,455,152.0,1331.0,1632.0,3452.0,Rasterio reads and writes geospatial raster datasets.,117.0,30,True,2021-10-21 15:00:11.000000,1.3a2,133.0,rasterio,conda-forge/rasterio,,742.0,408741.0,4924.0,4074.0,https://pypi.org/project/rasterio,2021-10-15 02:04:49.000000,850.0,389251.0,https://anaconda.org/conda-forge/rasterio,2021-12-03 17:40:11.927000,1344193.0,2.0,,,,,,,,,,,,,,,,,,rasterio/rasterio,,,,,,,,\n113,Geocoder,DenisCarriere/geocoder,,geospatial-data,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21.000000,2021-08-26 23:24:43.000000,2018-10-12 15:53:05.000000,260,90.0,217.0,1403.0,1251.0,Python Geocoder.,74.0,30,False,2018-04-04 12:34:51.000000,1.38.1,108.0,geocoder,conda-forge/geocoder,,,1502892.0,5043.0,4199.0,https://pypi.org/project/geocoder,2018-04-04 12:34:51.000000,844.0,1501259.0,https://anaconda.org/conda-forge/geocoder,2019-06-27 16:40:50.469000,94738.0,2.0,,,,,,,,,,,,,,,,,,,geocoder,,,,,,,\n114,Fiona,Toblerity/Fiona,,geospatial-data,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00.000000,2021-12-09 00:51:57.000000,2021-12-09 00:51:57.000000,175,80.0,571.0,871.0,1273.0,Fiona reads and writes geographic data files.,65.0,30,True,2021-05-31 23:04:33.000000,1.8.20,98.0,fiona,conda-forge/fiona,,,1222800.0,8479.0,7291.0,https://pypi.org/project/fiona,2021-05-31 23:04:33.000000,1188.0,1187970.0,https://anaconda.org/conda-forge/fiona,2021-12-01 17:00:06.524000,2403283.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n115,NIPYPE,nipy/nipype,,medical-data,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000000,2021-12-08 22:02:12.000000,2021-12-08 22:02:09.000000,475,359.0,894.0,602.0,14310.0,Workflows and interfaces for neuroimaging packages.,227.0,30,True,2021-10-20 17:40:54.000000,1.7.0,56.0,nipype,conda-forge/nipype,,,28464.0,992.0,800.0,https://pypi.org/project/nipype,2021-10-20 15:33:29.000000,192.0,21481.0,https://anaconda.org/conda-forge/nipype,2021-10-20 17:02:23.801000,453906.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n116,Face Recognition,ageitgey/face_recognition,,image,https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39.000000,2021-12-04 17:06:24.000000,2021-06-14 10:10:40.000000,11744,658.0,552.0,42430.0,219.0,The world's simplest facial recognition api for Python and the command line.,47.0,29,True,2018-08-21 18:34:21.000000,1.2.3,21.0,face_recognition,,['pytorch'],449.0,26515.0,406.0,,https://pypi.org/project/face_recognition,2018-08-21 18:34:21.000000,406.0,26507.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n117,PyFlink,apache/flink,,ml-frameworks,https://github.com/apache/flink,https://github.com/apache/flink,Apache-2.0,2014-06-07 07:00:10.000000,2021-12-09 14:02:04.000000,2021-12-09 12:49:06.000000,9774,690.0,,17702.0,29119.0,Apache Flink Python API.,1421.0,29,True,2021-09-29 02:49:08.000000,1.14.0,23.0,apache-flink,,,,4952.0,0.0,,https://pypi.org/project/apache-flink,2021-09-29 02:49:08.000000,0.0,4952.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n118,PyTorch Geometric,rusty1s/pytorch_geometric,,graph,https://github.com/pyg-team/pytorch_geometric,https://github.com/pyg-team/pytorch_geometric,MIT,2017-10-06 16:03:03.000000,2021-12-09 08:41:12.000000,2021-12-09 08:41:11.000000,2219,856.0,1451.0,13279.0,5210.0,Graph Neural Network Library for PyTorch.,226.0,29,True,2021-10-26 12:42:36.000000,2.0.2,31.0,torch-geometric,,['pytorch'],,26141.0,24.0,,https://pypi.org/project/torch-geometric,2021-10-26 12:42:36.000000,24.0,26141.0,,,,1.0,,,,,,,,,,,,,,,,,,pyg-team/pytorch_geometric,,,,,,,,\n119,Jina,jina-ai/jina,,ml-frameworks,https://github.com/jina-ai/jina,https://github.com/jina-ai/jina,Apache-2.0,2020-02-13 17:04:44.000000,2021-12-09 13:09:48.000000,2021-12-09 10:17:14.000000,1683,73.0,1154.0,12492.0,6826.0,Cloud-native neural search framework for kind of data.,134.0,29,True,2021-12-08 18:12:01.000000,2.5.5,1511.0,jina,,,,52230.0,185.0,185.0,https://pypi.org/project/jina,2021-12-09 10:19:22.000000,,7315.0,,,,2.0,,,jinaai/jina,https://hub.docker.com/r/jinaai/jina,2021-12-09 10:49:27.151102,6.0,988134.0,,,,,,,,,,,,,,,,,,,\n120,InsightFace,deepinsight/insightface,,image,https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,MIT,2017-09-01 00:36:51.000000,2021-12-03 17:00:53.000000,2021-12-03 17:00:53.000000,3502,964.0,809.0,10810.0,1912.0,State-of-the-art 2D and 3D Face Analysis Project.,31.0,29,True,2021-08-31 06:20:24.000000,0.4.2,21.0,insightface,,['mxnet'],,10429.0,120.0,118.0,https://pypi.org/project/insightface,2021-09-21 02:50:54.000000,2.0,10429.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n121,Dopamine,google/dopamine,,reinforcement-learning,https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36.000000,2021-12-02 23:16:59.000000,2021-12-02 23:09:16.000000,1297,80.0,82.0,9670.0,280.0,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,14.0,29,True,2021-12-02 23:16:59.000000,4.0.1,41.0,dopamine-rl,,['tensorflow'],,678933.0,62.0,,https://pypi.org/project/dopamine-rl,2021-12-02 23:16:59.000000,62.0,678933.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n122,Annoy,spotify/annoy,,nn-search,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40.000000,2021-10-18 14:07:24.000000,2021-10-18 14:07:24.000000,953,37.0,298.0,9237.0,832.0,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,75.0,29,True,2020-09-18 16:07:59.000000,1.17.0,43.0,annoy,,,,398200.0,2215.0,1855.0,https://pypi.org/project/annoy,2020-09-18 16:07:59.000000,360.0,398200.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n123,dgl,dmlc/dgl,,graph,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000000,2021-12-09 08:50:24.000000,2021-12-09 08:50:24.000000,1853,297.0,996.0,8594.0,2034.0,\"Python package built to ease deep learning on graph, on top of existing DL frameworks.\",175.0,29,True,2021-11-08 04:09:08.000000,0.7.2,438.0,dgl,,,,38771.0,30.0,,https://pypi.org/project/dgl,2021-05-27 13:25:52.000000,30.0,38771.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n124,ParlAI,facebookresearch/ParlAI,,nlp,https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44.000000,2021-12-09 10:16:58.000000,2021-12-08 19:49:44.000000,1665,92.0,1101.0,8482.0,3892.0,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,167.0,29,True,2021-10-12 21:51:23.000000,1.5.1,21.0,parlai,,['pytorch'],,1249.0,50.0,50.0,https://pypi.org/project/parlai,2021-10-12 21:51:23.000000,0.0,1249.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n125,AutoKeras,keras-team/autokeras,,hyperopt,https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20.000000,2021-12-04 04:40:36.000000,2021-12-04 04:40:18.000000,1327,60.0,727.0,8264.0,1274.0,AutoML library for deep learning.,130.0,29,True,2021-11-02 00:16:03.000000,1.0.16.post1,53.0,autokeras,,['tensorflow'],1622.0,19541.0,273.0,259.0,https://pypi.org/project/autokeras,2021-11-02 00:27:01.000000,14.0,19508.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n126,Vowpal Wabbit,VowpalWabbit/vowpal_wabbit,,ml-frameworks,https://github.com/VowpalWabbit/vowpal_wabbit,https://github.com/VowpalWabbit/vowpal_wabbit,BSD-3-Clause,2009-07-31 19:36:58.000000,2021-12-09 01:45:36.000000,2021-12-09 01:27:29.000000,1758,180.0,973.0,7807.0,9540.0,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,310.0,29,True,2021-07-14 18:02:58.000000,8.11.0,18.0,vowpalwabbit,,,,20616.0,16.0,,https://pypi.org/project/vowpalwabbit,2021-07-14 18:02:58.000000,16.0,20616.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n127,Modin,modin-project/modin,,data-containers,https://github.com/modin-project/modin,https://github.com/modin-project/modin,Apache-2.0,2018-06-21 21:35:05.000000,2021-12-09 13:31:48.000000,2021-12-09 13:31:48.000000,466,645.0,1565.0,6623.0,1635.0,Modin: Speed up your Pandas workflows by changing a single line of code.,85.0,29,True,2021-11-24 01:58:18.000000,0.12.0,46.0,modin,,['pandas'],195794.0,90730.0,535.0,517.0,https://pypi.org/project/modin,2021-11-24 01:58:18.000000,18.0,85955.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n128,tensorpack,tensorpack/tensorpack,,ml-frameworks,https://github.com/tensorpack/tensorpack,https://github.com/tensorpack/tensorpack,Apache-2.0,2015-12-25 23:08:44.000000,2021-11-27 04:08:51.000000,2021-11-27 04:08:51.000000,1808,13.0,1330.0,6135.0,2937.0,\"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.\",58.0,29,True,2020-04-24 19:01:06.000000,0.10.1,37.0,tensorpack,,['tensorflow'],128.0,13788.0,988.0,912.0,https://pypi.org/project/tensorpack,2021-01-22 08:44:03.000000,76.0,13786.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n129,yfinance,ranaroussi/yfinance,,financial-data,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000000,2021-11-24 21:04:02.000000,2021-11-21 10:41:35.000000,1421,378.0,320.0,6107.0,,Download market data from Yahoo! Finance's API.,49.0,29,True,2021-11-20 20:56:26.000000,0.1.67,32.0,yfinance,ranaroussi/yfinance,,,195046.0,8312.0,8286.0,https://pypi.org/project/yfinance,2021-11-20 20:56:26.000000,26.0,191205.0,https://anaconda.org/ranaroussi/yfinance,2021-07-10 20:29:09.532000,19207.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n130,SpeechRecognition,Uberi/speech_recognition,,audio,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54.000000,2021-11-07 03:48:13.000000,2019-07-02 17:29:47.000000,1995,234.0,279.0,5982.0,360.0,\"Speech recognition module for Python, supporting several engines and APIs, online and offline.\",41.0,29,False,2017-12-05 14:05:14.000000,3.8.1,52.0,SpeechRecognition,conda-forge/speechrecognition,,,144083.0,1088.0,,https://pypi.org/project/SpeechRecognition,2017-12-05 13:58:29.000000,1088.0,142036.0,https://anaconda.org/conda-forge/speechrecognition,2021-01-11 17:26:33.040000,131020.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n131,faust,robinhood/faust,,data-pipelines,https://github.com/robinhood/faust,https://github.com/robinhood/faust,BSD-3-Clause,2017-03-08 18:36:11.000000,2021-10-26 06:31:36.000000,2020-10-09 12:59:42.000000,487,249.0,236.0,5883.0,4137.0,Python Stream Processing.,93.0,29,False,2020-02-25 22:57:18.000000,1.10.4,46.0,faust,,,,190058.0,921.0,893.0,https://pypi.org/project/faust,2020-02-25 22:57:18.000000,28.0,190058.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n132,Datasette,simonw/datasette,,others,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000000,2021-12-07 20:03:58.000000,2021-12-07 20:03:42.000000,379,320.0,875.0,5624.0,1823.0,An open source multi-tool for exploring and publishing data.,60.0,29,True,2021-11-30 06:57:58.000000,0.59.4,109.0,datasette,,,34.0,70952.0,630.0,560.0,https://pypi.org/project/datasette,2021-11-30 06:57:58.000000,70.0,70952.0,,,,1.0,,,,,,,,,,,,,,,datasette,,,,,,,,,,,\n133,Bayesian Optimization,fmfn/BayesianOptimization,,hyperopt,https://github.com/fmfn/BayesianOptimization,https://github.com/fmfn/BayesianOptimization,MIT,2014-06-06 08:18:56.000000,2021-11-25 04:39:23.000000,2020-12-19 01:11:23.000000,1185,45.0,172.0,5588.0,199.0,A Python implementation of global optimization with gaussian processes.,27.0,29,True,2020-05-16 16:03:51.000000,1.2.0,8.0,bayesian-optimization,,,70.0,117790.0,1075.0,983.0,https://pypi.org/project/bayesian-optimization,2020-05-16 15:56:09.000000,92.0,117789.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n134,Autograd,HIPS/autograd,,others,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23.000000,2021-04-22 18:19:00.000000,2021-03-03 09:27:58.000000,782,163.0,219.0,5552.0,1376.0,Efficiently computes derivatives of numpy code.,51.0,29,True,2017-08-24 17:00:41.000000,1.1.13,24.0,autograd,conda-forge/autograd,,,672888.0,3059.0,2715.0,https://pypi.org/project/autograd,2019-07-25 16:21:07.000000,344.0,669844.0,https://anaconda.org/conda-forge/autograd,2019-07-25 18:29:55.493000,194828.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n135,Kornia,kornia/kornia,,image,https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000000,2021-12-09 09:54:49.000000,2021-12-05 07:57:45.000000,536,119.0,383.0,5495.0,1923.0,Open Source Differentiable Computer Vision Library.,143.0,29,True,2021-12-03 21:54:30.000000,0.6.2,26.0,kornia,,['pytorch'],161.0,95316.0,813.0,813.0,https://pypi.org/project/kornia,2021-12-03 21:54:30.000000,0.0,95312.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n136,GluonCV,dmlc/gluon-cv,,image,https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21.000000,2021-11-14 01:12:13.000000,2021-11-14 01:12:13.000000,1113,65.0,741.0,4992.0,886.0,Gluon CV Toolkit.,114.0,29,True,2021-07-25 02:48:59.000000,0.10.4,1247.0,gluoncv,,['mxnet'],,347085.0,664.0,634.0,https://pypi.org/project/gluoncv,2021-10-10 09:00:58.000000,30.0,347085.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n137,TinyDB,msiemens/tinydb,,data-containers,https://github.com/msiemens/tinydb,https://github.com/msiemens/tinydb,MIT,2013-07-12 23:31:13.000000,2021-12-04 14:24:59.000000,2021-12-04 14:24:59.000000,410,13.0,265.0,4693.0,637.0,TinyDB is a lightweight document oriented database optimized for your happiness :).,70.0,29,True,2021-09-23 18:07:35.000000,4.5.2,62.0,tinydb,conda-forge/tinydb,,,170134.0,1118.0,,https://pypi.org/project/tinydb,2021-09-23 18:07:32.000000,1118.0,167854.0,https://anaconda.org/conda-forge/tinydb,2021-09-23 23:38:10.536000,150524.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n138,einops,arogozhnikov/einops,,ml-frameworks,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08.000000,2021-12-06 19:25:45.000000,2021-12-06 19:25:44.000000,153,30.0,54.0,3987.0,380.0,\"Deep learning operations reinvented (for pytorch, tensorflow, jax and others).\",12.0,29,True,2021-08-31 22:49:08.000000,0.3.2,5.0,einops,conda-forge/einops,,,2653225.0,1594.0,1584.0,https://pypi.org/project/einops,2021-08-31 21:29:29.000000,10.0,2652887.0,https://anaconda.org/conda-forge/einops,2021-08-31 23:13:47.214000,9135.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n139,Tesseract,madmaze/pytesseract,,ocr,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000000,2021-12-08 07:47:43.000000,2021-12-08 07:47:40.000000,554,10.0,272.0,3913.0,436.0,Python-tesseract is an optical character recognition (OCR) tool for python.,38.0,29,True,2021-06-28 23:00:22.000000,0.3.8,25.0,pytesseract,conda-forge/pytesseract,,,517069.0,1428.0,,https://pypi.org/project/pytesseract,2021-06-28 23:00:22.000000,1428.0,500593.0,https://anaconda.org/conda-forge/pytesseract,2021-06-05 17:42:22.118000,477804.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n140,Koalas,databricks/koalas,,data-containers,https://github.com/databricks/koalas,https://github.com/databricks/koalas,Apache-2.0,2019-01-03 21:46:54.000000,2021-10-26 06:53:37.000000,2021-10-21 22:12:35.000000,322,94.0,483.0,3034.0,1547.0,Koalas: pandas API on Apache Spark.,51.0,29,True,2021-10-19 22:26:46.000000,1.8.2,47.0,koalas,conda-forge/koalas,\"['spark', 'pandas']\",998.0,1506301.0,160.0,158.0,https://pypi.org/project/koalas,2021-10-19 22:26:05.000000,2.0,1502772.0,https://anaconda.org/conda-forge/koalas,2021-10-20 00:43:43.868000,108499.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n141,PyQtGraph,pyqtgraph/pyqtgraph,,data-viz,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21.000000,2021-12-08 16:44:57.000000,2021-12-04 18:57:11.000000,896,309.0,672.0,2649.0,3114.0,Fast data visualization and GUI tools for scientific / engineering applications.,213.0,29,True,2021-10-11 03:04:34.000000,pyqtgraph-0.12.3,16.0,pyqtgraph,conda-forge/pyqtgraph,,,42646.0,890.0,,https://pypi.org/project/pyqtgraph,2021-10-11 03:35:04.000000,890.0,39097.0,https://anaconda.org/conda-forge/pyqtgraph,2021-10-11 16:15:08.513000,209428.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n142,GPyTorch,cornellius-gp/gpytorch,,probabilistics,https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000000,2021-12-08 13:16:38.000000,2021-12-08 13:16:35.000000,392,249.0,783.0,2610.0,3534.0,A highly efficient and modular implementation of Gaussian Processes in PyTorch.,89.0,29,True,2021-12-04 15:50:17.000000,1.6.0,31.0,gpytorch,,['pytorch'],,90213.0,450.0,442.0,https://pypi.org/project/gpytorch,2021-12-04 15:50:17.000000,8.0,90213.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n143,Cufflinks,santosjorge/cufflinks,,data-viz,https://github.com/santosjorge/cufflinks,https://github.com/santosjorge/cufflinks,MIT,2014-11-19 20:59:33.000000,2021-11-25 17:30:29.000000,2021-02-25 05:05:09.000000,558,81.0,123.0,2408.0,452.0,Productivity Tools for Plotly + Pandas.,38.0,29,True,2020-03-01 17:42:01.000000,0.17.3,27.0,cufflinks,,['pandas'],,148855.0,5033.0,4799.0,https://pypi.org/project/cufflinks,2020-03-01 17:42:01.000000,234.0,148855.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n144,hmmlearn,hmmlearn/hmmlearn,,probabilistics,https://github.com/hmmlearn/hmmlearn,https://github.com/hmmlearn/hmmlearn,BSD-3-Clause,2014-03-23 10:33:09.000000,2021-12-09 12:29:59.000000,2021-12-09 12:25:42.000000,665,52.0,313.0,2384.0,388.0,\"Hidden Markov Models in Python, with scikit-learn like API.\",38.0,29,True,2021-07-18 14:01:41.000000,0.2.6,8.0,hmmlearn,conda-forge/hmmlearn,['sklearn'],,271304.0,1344.0,1138.0,https://pypi.org/project/hmmlearn,2021-07-18 14:01:41.000000,206.0,268447.0,https://anaconda.org/conda-forge/hmmlearn,2021-11-13 15:23:53.699000,105725.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n145,HoloViews,holoviz/holoviews,,data-viz,https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000000,2021-12-08 11:39:42.000000,2021-12-08 11:39:42.000000,328,795.0,1910.0,2056.0,10265.0,\"With Holoviews, your data visualizes itself.\",116.0,29,True,2021-09-30 16:18:23.000000,1.14.6,73.0,holoviews,conda-forge/holoviews,['jupyter'],,137201.0,170.0,,https://pypi.org/project/holoviews,2021-09-17 08:22:12.000000,170.0,124616.0,https://anaconda.org/conda-forge/holoviews,2021-09-17 16:26:42.464000,614715.0,2.0,,,,,,,,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,2020-05-24 13:49:54.205000,,3411.0,,,,,,,,,,,,,\n146,Lifelines,CamDavidsonPilon/lifelines,,medical-data,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42.000000,2021-12-01 02:47:32.482000,2021-11-30 19:30:36.000000,449,218.0,619.0,1760.0,2154.0,Survival analysis in Python.,98.0,29,True,2021-11-30 20:20:36.000000,0.26.4,160.0,lifelines,conda-forge/lifelines,,,165872.0,852.0,726.0,https://pypi.org/project/lifelines,2021-11-30 20:20:36.000000,126.0,163205.0,https://anaconda.org/conda-forge/lifelines,2021-12-01 02:47:32.482000,176061.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n147,ipyleaflet,jupyter-widgets/ipyleaflet,,geospatial-data,https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10.000000,2021-12-07 10:55:31.000000,2021-12-07 08:33:38.000000,316,181.0,279.0,1196.0,975.0,A Jupyter - Leaflet.js bridge.,71.0,29,True,2021-12-06 12:34:17.000000,0.15.0,72.0,ipyleaflet,conda-forge/ipyleaflet,['jupyter'],,86308.0,1410.0,1310.0,https://pypi.org/project/ipyleaflet,2021-12-06 12:34:17.000000,98.0,30870.0,https://anaconda.org/conda-forge/ipyleaflet,2021-12-06 21:49:04.525000,778211.0,2.0,,,,,,,,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2021-12-06 12:32:39.669000,2.0,43823.0,,,,,,,,,,,,,\n148,TF Model Optimization,tensorflow/model-optimization,,tensorflow-utils,https://github.com/tensorflow/model-optimization,https://github.com/tensorflow/model-optimization,Apache-2.0,2018-10-31 20:34:28.000000,2021-12-09 14:03:15.000000,2021-12-09 14:03:09.000000,254,135.0,145.0,1165.0,688.0,\"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.\",64.0,29,True,2021-09-30 10:12:08.000000,0.7.0,24.0,tensorflow-model-optimization,,['tensorflow'],,86006.0,1352.0,1346.0,https://pypi.org/project/tensorflow-model-optimization,2021-09-30 10:05:24.000000,6.0,86006.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n149,PyTables,PyTables/PyTables,,data-containers,https://github.com/PyTables/PyTables,https://github.com/PyTables/PyTables,BSD-3-Clause,2011-06-03 19:44:46.000000,2021-12-08 21:18:14.000000,2021-12-08 21:04:34.000000,218,178.0,459.0,1079.0,3970.0,A Python package to manage extremely large amounts of data.,101.0,29,True,2019-10-30 19:33:37.000000,3.6.1,25.0,tables,conda-forge/pytables,,163.0,553089.0,3754.0,,https://pypi.org/project/tables,2019-10-30 19:33:37.000000,3754.0,497543.0,https://anaconda.org/conda-forge/pytables,2021-11-29 19:12:08.113000,3554831.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n150,Keras-Preprocessing,keras-team/keras-preprocessing,,tensorflow-utils,https://github.com/keras-team/keras-preprocessing,https://github.com/keras-team/keras-preprocessing,MIT,2018-05-30 22:43:36.000000,2021-11-30 15:10:46.000000,2021-02-04 19:43:30.000000,429,93.0,100.0,998.0,284.0,\"Utilities for working with image data, text data, and sequence data.\",50.0,29,True,2020-05-14 03:53:47.000000,1.1.2,12.0,keras-preprocessing,conda-forge/keras-preprocessing,['tensorflow'],,4176178.0,2736.0,,https://pypi.org/project/keras-preprocessing,2020-05-14 03:53:47.000000,2736.0,4148492.0,https://anaconda.org/conda-forge/keras-preprocessing,2021-01-15 12:28:58.923000,1162844.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n151,TensorFlow Transform,tensorflow/transform,,tensorflow-utils,https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53.000000,2021-12-07 14:38:17.000000,2021-12-07 14:38:14.000000,178,20.0,151.0,899.0,728.0,Input pipeline framework.,27.0,29,True,2021-12-02 21:13:55.000000,1.5.0,44.0,tensorflow-transform,,['tensorflow'],,4544665.0,711.0,627.0,https://pypi.org/project/tensorflow-transform,2021-12-02 21:13:55.000000,84.0,4544665.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n152,TensorFlow Text,tensorflow/text,,nlp,https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000000,2021-12-08 17:16:11.000000,2021-12-08 17:16:06.000000,163,62.0,113.0,850.0,577.0,Making text a first-class citizen in TensorFlow.,66.0,29,True,2021-11-19 12:59:24.000000,2.7.3,42.0,tensorflow-text,,['tensorflow'],,863690.0,1221.0,1217.0,https://pypi.org/project/tensorflow-text,2021-11-19 12:46:51.000000,4.0,863690.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n153,Bottleneck,pydata/bottleneck,,data-containers,https://github.com/pydata/bottleneck,https://github.com/pydata/bottleneck,BSD-2-Clause,2010-11-27 23:21:22.000000,2021-11-04 11:55:30.352000,2021-01-24 18:39:03.000000,74,37.0,179.0,679.0,1241.0,Fast NumPy array functions written in C.,21.0,29,True,2020-02-21 06:22:16.000000,1.3.2,21.0,Bottleneck,conda-forge/bottleneck,,,276300.0,31541.0,28649.0,https://pypi.org/project/Bottleneck,2020-02-21 06:22:16.000000,2892.0,249604.0,https://anaconda.org/conda-forge/bottleneck,2021-11-04 11:55:30.352000,1788655.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n154,snowballstemmer,snowballstem/snowball,,nlp,https://github.com/snowballstem/snowball,https://github.com/snowballstem/snowball,BSD-3-Clause,2013-02-23 07:17:42.000000,2021-12-08 15:51:34.000000,2021-11-16 18:29:31.000000,148,25.0,44.0,533.0,918.0,Snowball compiler and stemming algorithms.,28.0,29,True,2021-11-16 18:38:34.000000,2.2.0,10.0,snowballstemmer,conda-forge/snowballstemmer,,,3002996.0,13186.0,4.0,https://pypi.org/project/snowballstemmer,2021-11-16 18:38:34.000000,13182.0,2948117.0,https://anaconda.org/conda-forge/snowballstemmer,2021-11-17 09:59:16.947000,3512258.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n155,NiBabel,nipy/nibabel,,medical-data,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30.000000,2021-11-19 13:45:46.000000,2021-09-30 22:21:56.000000,223,128.0,309.0,453.0,5065.0,Python package to access a cacophony of neuro-imaging file formats.,93.0,29,True,2020-11-28 22:19:50.000000,3.2.1,32.0,nibabel,conda-forge/nibabel,,,85115.0,7126.0,5862.0,https://pypi.org/project/nibabel,2020-11-28 22:18:23.000000,1264.0,79133.0,https://anaconda.org/conda-forge/nibabel,2020-11-29 03:40:05.178000,400825.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n156,Streamlit,streamlit/streamlit,,others,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000000,2021-12-09 14:42:33.000000,2021-12-08 23:34:12.000000,1489,553.0,1622.0,16815.0,,Streamlit The fastest way to build data apps in Python.,132.0,28,True,2021-11-11 19:39:24.000000,1.2.0,144.0,streamlit,,,,359983.0,216.0,182.0,https://pypi.org/project/streamlit,2021-11-11 19:38:44.000000,34.0,359983.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n157,Rasa,RasaHQ/rasa,,nlp,https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49.000000,2021-12-09 14:03:17.000000,2021-12-09 13:39:52.000000,3817,961.0,5461.0,13162.0,,\"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..\",516.0,28,True,2021-12-02 11:22:34.000000,3.0.1,229.0,rasa,,['tensorflow'],,123287.0,64.0,,https://pypi.org/project/rasa,2021-12-02 11:22:24.000000,64.0,123287.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n158,NNI,microsoft/nni,,hyperopt,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44.000000,2021-12-09 11:39:32.000000,2021-12-08 02:56:51.000000,1472,224.0,1220.0,10663.0,2413.0,\"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..\",153.0,28,True,2021-11-04 00:55:22.000000,2.5,44.0,nni,,,,5732.0,174.0,158.0,https://pypi.org/project/nni,2021-11-04 00:40:20.000000,16.0,5732.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n159,TFlearn,tflearn/tflearn,,ml-frameworks,https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,MIT,2016-03-31 12:05:53.000000,2021-01-25 09:41:59.000000,2020-11-30 04:34:51.000000,2429,563.0,362.0,9571.0,613.0,Deep learning library featuring a higher-level API for TensorFlow.,128.0,28,False,2020-11-11 19:26:11.000000,0.5.0,8.0,tflearn,,['tensorflow'],,7920.0,4614.0,3652.0,https://pypi.org/project/tflearn,2020-11-11 19:13:47.000000,962.0,7920.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n160,Milvus,milvus-io/milvus,,nn-search,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000000,2021-12-09 14:35:47.000000,2021-12-09 14:25:08.000000,1325,237.0,3905.0,8944.0,12274.0,An open-source vector database for embedding similarity search and AI applications.,176.0,28,True,2021-06-16 06:50:46.000000,1.1.1,100.0,pymilvus,,,5653.0,34275.0,6.0,,https://pypi.org/project/pymilvus,2021-11-01 10:54:41.000000,6.0,9834.0,,,,1.0,,,milvusdb/milvus,https://hub.docker.com/r/milvusdb/milvus,2021-11-26 07:36:40.300171,16.0,650958.0,,,,,,,,,,,,,,,,,,,\n161,TPOT,EpistasisLab/tpot,,hyperopt,https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40.000000,2021-07-01 15:13:10.000000,2021-01-06 15:17:46.000000,1408,231.0,602.0,8368.0,2368.0,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,108.0,28,False,2021-01-06 15:20:08.000000,0.11.7,60.0,tpot,conda-forge/tpot,['sklearn'],,14886.0,1303.0,1223.0,https://pypi.org/project/tpot,2021-01-06 15:20:08.000000,80.0,12699.0,https://anaconda.org/conda-forge/tpot,2021-03-05 04:04:38.005000,137829.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n162,pretrainedmodels,Cadene/pretrained-models.pytorch,,pytorch-utils,https://github.com/Cadene/pretrained-models.pytorch,https://github.com/Cadene/pretrained-models.pytorch,BSD-3-Clause,2017-04-09 15:54:23.000000,2021-07-29 10:41:37.000000,2020-04-16 08:02:22.000000,1755,92.0,91.0,8300.0,154.0,\"Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.\",22.0,28,False,2018-10-29 08:18:45.000000,0.7.4,16.0,pretrainedmodels,,['pytorch'],,44532.0,1425.0,1321.0,https://pypi.org/project/pretrainedmodels,2018-10-29 08:18:45.000000,104.0,44532.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n163,Pyro,pyro-ppl/pyro,,probabilistics,https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000000,2021-12-08 19:46:53.000000,2021-12-08 01:29:51.000000,875,174.0,736.0,7219.0,2248.0,Deep universal probabilistic programming with Python and PyTorch.,116.0,28,True,2021-07-06 23:56:51.000000,1.7.0,27.0,pyro-ppl,,['pytorch'],,42361.0,624.0,588.0,https://pypi.org/project/pyro-ppl,2021-07-07 00:00:51.000000,36.0,42361.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n164,PyMC3,pymc-devs/pymc3,,probabilistics,https://github.com/pymc-devs/pymc,https://github.com/pymc-devs/pymc,Apache-2.0,2009-05-05 09:43:50.000000,2021-12-09 14:46:11.000000,2021-12-09 14:46:11.000000,1424,232.0,2250.0,6199.0,,Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara.,347.0,28,True,2021-08-24 01:17:21.000000,3.11.4,35.0,pymc3,conda-forge/pymc3,,1100.0,152849.0,854.0,568.0,https://pypi.org/project/pymc3,2021-08-24 01:17:21.000000,286.0,147109.0,https://anaconda.org/conda-forge/pymc3,2021-10-12 16:32:39.553000,355172.0,1.0,,,,,,,,,,,,,,,,,,pymc-devs/pymc,,,,,,,,\n165,auto-sklearn,automl/auto-sklearn,,hyperopt,https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10.000000,2021-12-09 11:37:25.000000,2021-11-09 19:34:35.000000,1086,120.0,714.0,5899.0,2582.0,Automated Machine Learning with scikit-learn.,77.0,28,True,2021-11-10 09:01:03.000000,0.14.2,36.0,auto-sklearn,,['sklearn'],,18323.0,261.0,231.0,https://pypi.org/project/auto-sklearn,2021-11-10 09:01:03.000000,30.0,18323.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n166,featuretools,alteryx/featuretools,,hyperopt,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17.000000,2021-12-07 02:45:30.000000,2021-12-02 23:02:04.000000,769,147.0,554.0,5887.0,,An open source python library for automated feature engineering.,57.0,28,True,2021-12-02 23:04:15.000000,1.3.0,96.0,featuretools,conda-forge/featuretools,,,633659.0,959.0,889.0,https://pypi.org/project/featuretools,2021-12-02 23:04:15.000000,70.0,631623.0,https://anaconda.org/conda-forge/featuretools,2021-12-03 15:45:58.881000,73321.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n167,folium,python-visualization/folium,,geospatial-data,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000000,2021-12-07 19:23:42.000000,2021-11-30 20:51:51.000000,2028,204.0,712.0,5527.0,,Python Data. Leaflet.js Maps.,124.0,28,True,2021-11-19 21:01:43.000000,0.12.1.post1,26.0,folium,conda-forge/folium,,,385710.0,14160.0,13192.0,https://pypi.org/project/folium,2021-11-19 21:08:10.000000,968.0,378837.0,https://anaconda.org/conda-forge/folium,2021-12-03 19:47:05.533000,474242.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n168,OpenNMT,OpenNMT/OpenNMT-py,,nlp,https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000000,2021-12-08 13:58:12.000000,2021-12-08 13:58:12.000000,2034,120.0,1198.0,5362.0,2586.0,Open Source Neural Machine Translation in PyTorch.,172.0,28,True,2021-09-14 08:49:23.000000,2.2.0,32.0,OpenNMT-py,,['pytorch'],,2613.0,121.0,117.0,https://pypi.org/project/OpenNMT-py,2021-09-14 08:49:23.000000,4.0,2613.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n169,CleverHans,cleverhans-lab/cleverhans,,adversarial,https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04.000000,2021-11-28 16:27:56.000000,2021-09-23 22:14:27.000000,1304,25.0,422.0,5335.0,3201.0,\"An adversarial example library for constructing attacks, building defenses, and benchmarking both.\",128.0,28,True,2021-07-24 08:53:21.000000,4.0.0,8.0,cleverhans,,['tensorflow'],,1452.0,297.0,281.0,https://pypi.org/project/cleverhans,2021-07-24 08:53:21.000000,16.0,1452.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n170,DEAP,deap/deap,,distributed-ml,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39.000000,2021-11-21 13:38:50.000000,2021-11-21 13:38:49.000000,923,225.0,245.0,4512.0,2179.0,Distributed Evolutionary Algorithms in Python.,76.0,28,False,2020-01-21 01:18:06.000000,1.3.1,16.0,deap,conda-forge/deap,,,123200.0,2765.0,2283.0,https://pypi.org/project/deap,2020-01-21 01:18:06.000000,482.0,120835.0,https://anaconda.org/conda-forge/deap,2021-11-07 17:27:38.136000,156136.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n171,espnet,espnet/espnet,,audio,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000000,2021-12-09 08:19:09.000000,2021-12-08 11:25:02.000000,1365,249.0,1326.0,4490.0,13261.0,End-to-End Speech Processing Toolkit.,207.0,28,True,2021-11-10 08:24:37.000000,0.10.4,40.0,espnet,,,74.0,2473.0,25.0,25.0,https://pypi.org/project/espnet,2021-11-10 08:24:37.000000,0.0,2472.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n172,Gradio,gradio-app/gradio,,others,https://github.com/gradio-app/gradio,https://github.com/gradio-app/gradio,Apache-2.0,2018-12-19 08:24:04.000000,2021-12-09 09:48:59.000000,2021-12-08 01:20:50.000000,258,40.0,190.0,4191.0,2694.0,\"Wrap UIs around any model, share with anyone.\",34.0,28,True,2021-11-22 21:21:03.000000,2.4.6,163.0,gradio,,,,45119.0,437.0,435.0,https://pypi.org/project/gradio,2021-12-01 03:01:20.000000,2.0,45119.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n173,imutils,jrosebr1/imutils,,image,https://github.com/PyImageSearch/imutils,https://github.com/PyImageSearch/imutils,MIT,2015-01-11 20:05:39.000000,2021-12-09 01:25:49.387000,2021-01-15 10:46:45.000000,935,83.0,76.0,3913.0,138.0,\"A series of convenience functions to make basic image processing operations such as translation, rotation, resizing,..\",20.0,28,True,2021-01-15 10:53:17.000000,0.5.4,29.0,imutils,conda-forge/imutils,,,199027.0,22491.0,21295.0,https://pypi.org/project/imutils,2021-01-15 10:53:17.000000,1196.0,196584.0,https://anaconda.org/conda-forge/imutils,2021-12-09 01:25:49.387000,73294.0,2.0,,,,,,,,,,,,,,,,,,PyImageSearch/imutils,,,,,,,,\n174,Ignite,pytorch/ignite,,ml-frameworks,https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000000,2021-12-07 16:42:35.000000,2021-12-07 16:42:35.000000,507,142.0,831.0,3791.0,1279.0,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,157.0,28,True,2021-10-13 09:11:37.000000,0.4.7,756.0,pytorch-ignite,pytorch/ignite,['pytorch'],,45331.0,62.0,,https://pypi.org/project/pytorch-ignite,2021-12-01 00:13:57.000000,62.0,43551.0,https://anaconda.org/pytorch/ignite,2021-10-19 15:47:07.847000,74778.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n175,huey,coleifer/huey,,data-pipelines,https://github.com/coleifer/huey,https://github.com/coleifer/huey,MIT,2011-11-03 16:39:43.000000,2021-12-03 14:53:51.000000,2021-12-03 14:53:19.000000,326,,483.0,3745.0,932.0,a little task queue for python.,66.0,28,True,2021-11-28 15:46:21.000000,2.4.2,62.0,huey,conda-forge/huey,,,24899.0,1117.0,831.0,https://pypi.org/project/huey,2021-11-28 15:46:03.000000,286.0,24388.0,https://anaconda.org/conda-forge/huey,2019-10-16 15:34:27.487000,22519.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n176,sacred,IDSIA/sacred,,ml-experiments,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29.000000,2021-12-01 20:34:46.000000,2021-11-05 12:51:21.000000,335,92.0,427.0,3671.0,1314.0,\"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.\",95.0,28,True,2020-12-14 15:21:05.000000,0.8.2,27.0,sacred,,,,25752.0,1283.0,1129.0,https://pypi.org/project/sacred,2020-12-14 15:21:05.000000,154.0,25752.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n177,wandb client,wandb/client,,ml-experiments,https://github.com/wandb/client,https://github.com/wandb/client,MIT,2017-03-24 05:46:23.000000,2021-12-09 06:02:09.000000,2021-12-09 02:14:40.000000,279,398.0,1156.0,3560.0,4322.0,A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.,97.0,28,True,2021-11-19 17:08:43.000000,0.12.7,214.0,wandb,,,,290963.0,78.0,,https://pypi.org/project/wandb,2021-11-19 17:03:56.000000,78.0,290963.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n178,tensorflow-probability,tensorflow/probability,,probabilistics,https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000000,2021-12-09 10:55:53.000000,2021-12-09 10:55:51.000000,949,526.0,628.0,3549.0,,Probabilistic reasoning and statistical analysis in TensorFlow.,431.0,28,True,2021-11-18 15:49:59.000000,0.15.0,41.0,tensorflow-probability,conda-forge/tensorflow-probability,['tensorflow'],,658035.0,252.0,,https://pypi.org/project/tensorflow-probability,2021-11-17 17:40:22.000000,252.0,656635.0,https://anaconda.org/conda-forge/tensorflow-probability,2021-10-22 19:50:42.522000,47633.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n179,Dedupe,dedupeio/dedupe,,nlp,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36.000000,2021-10-14 13:15:50.000000,2021-10-14 13:15:50.000000,453,66.0,603.0,3234.0,2842.0,\"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.\",61.0,28,True,2021-04-17 00:35:34.000000,2.0.8,159.0,dedupe,,,,137860.0,284.0,206.0,https://pypi.org/project/dedupe,2021-04-17 00:35:34.000000,78.0,137860.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n180,bqplot,bqplot/bqplot,,data-viz,https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18.000000,2021-12-09 13:18:00.000000,2021-12-02 10:07:18.000000,445,219.0,352.0,3194.0,3436.0,Plotting library for IPython/Jupyter notebooks.,55.0,28,True,2021-10-01 09:15:22.000000,0.12.31,98.0,bqplot,conda-forge/bqplot,['jupyter'],,72079.0,150.0,28.0,https://pypi.org/project/bqplot,2021-10-01 09:15:22.000000,112.0,34385.0,https://anaconda.org/conda-forge/bqplot,2021-10-01 09:49:41.042000,903582.0,2.0,,,,,,,,,bqplot,https://www.npmjs.com/package/bqplot,2021-10-01 09:13:14.243000,10.0,24208.0,,,,,,,,,,,,,\n181,ftfy,LuminosoInsight/python-ftfy,,nlp,https://github.com/rspeer/python-ftfy,https://github.com/rspeer/python-ftfy,MIT,2012-08-24 16:14:59.000000,2021-05-25 06:35:21.702000,2021-05-17 19:04:10.000000,104,11.0,111.0,3113.0,590.0,\"Fixes mojibake and other glitches in Unicode text, after the fact.\",18.0,28,True,2021-08-23 21:02:05.000000,6.0.3,45.0,ftfy,conda-forge/ftfy,,,482682.0,5168.0,4408.0,https://pypi.org/project/ftfy,2021-05-24 05:17:15.000000,760.0,480304.0,https://anaconda.org/conda-forge/ftfy,2021-05-25 06:35:21.702000,133186.0,2.0,,,,,,,,,,,,,,,,,,rspeer/python-ftfy,,,,,,,,\n182,missingno,ResidentMario/missingno,,data-viz,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50.000000,2021-07-04 16:12:30.000000,2021-07-04 16:09:34.000000,385,11.0,102.0,3008.0,180.0,Missing data visualization module for Python.,17.0,28,True,2021-07-04 16:12:30.000000,0.5.0,24.0,missingno,conda-forge/missingno,,,372079.0,5781.0,5629.0,https://pypi.org/project/missingno,2021-07-04 16:12:30.000000,152.0,369481.0,https://anaconda.org/conda-forge/missingno,2020-02-15 10:07:41.253000,137744.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n183,Blaze,blaze/blaze,,data-containers,https://github.com/blaze/blaze,https://github.com/blaze/blaze,BSD-3-Clause,2012-10-26 14:25:22.000000,2020-02-01 19:33:09.000000,2019-08-15 21:14:59.000000,381,263.0,500.0,3008.0,7496.0,NumPy and Pandas interface to Big Data.,64.0,28,False,2016-07-19 20:40:03.000000,0.11.0,14.0,blaze,conda-forge/blaze,,,12739.0,9587.0,7965.0,https://pypi.org/project/blaze,2016-05-06 21:19:21.000000,1622.0,8988.0,https://anaconda.org/conda-forge/blaze,2018-07-15 22:16:17.685000,195056.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n184,torchtext,pytorch/text,,nlp,https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000000,2021-12-09 12:37:32.000000,2021-12-08 22:46:30.000000,662,339.0,335.0,2907.0,847.0,Data loaders and abstractions for text and NLP.,118.0,28,True,2021-10-21 17:20:17.000000,0.11.0-rc3,17.0,torchtext,,['pytorch'],,67123.0,682.0,,https://pypi.org/project/torchtext,2021-10-21 15:11:48.000000,682.0,67123.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n185,datashader,holoviz/datashader,,data-viz,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000000,2021-11-29 21:57:52.000000,2021-11-29 09:59:14.000000,328,127.0,353.0,2662.0,1298.0,Quickly and accurately render even the largest data.,45.0,28,True,2021-06-09 23:30:20.000000,0.13.0,24.0,datashader,conda-forge/datashader,,,34506.0,963.0,893.0,https://pypi.org/project/datashader,2021-06-09 22:59:52.000000,70.0,29452.0,https://anaconda.org/conda-forge/datashader,2021-06-10 09:04:19.929000,247680.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n186,ta,bukosabino/ta,,financial-data,https://github.com/bukosabino/ta,https://github.com/bukosabino/ta,MIT,2018-01-02 18:08:48.000000,2021-12-08 10:31:53.000000,2021-12-08 10:31:50.000000,631,111.0,89.0,2630.0,590.0,Technical Analysis Library using Pandas and Numpy.,24.0,28,True,2021-11-20 09:07:49.000000,0.8.0,50.0,ta,,,,53099.0,907.0,895.0,https://pypi.org/project/ta,2021-11-20 09:07:49.000000,12.0,53099.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n187,TextDistance,life4/textdistance,,nlp,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10.000000,2021-12-03 13:09:42.000000,2021-11-29 10:29:02.000000,203,9.0,,2564.0,321.0,\"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..\",11.0,28,True,2021-10-27 13:15:53.000000,4.2.2,22.0,textdistance,conda-forge/textdistance,,389.0,144810.0,1417.0,1389.0,https://pypi.org/project/textdistance,2021-10-27 13:15:53.000000,28.0,143270.0,https://anaconda.org/conda-forge/textdistance,2021-10-27 17:04:18.548000,65916.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n188,TF-Agents,tensorflow/agents,,reinforcement-learning,https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000000,2021-12-06 18:43:02.000000,2021-12-06 18:42:05.000000,583,102.0,414.0,2124.0,1983.0,\"TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.\",115.0,28,True,2021-11-15 17:59:06.000000,0.11.0,29.0,tf-agents,,['tensorflow'],,42517.0,650.0,638.0,https://pypi.org/project/tf-agents,2021-11-15 17:59:06.000000,12.0,42517.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n189,hdbscan,scikit-learn-contrib/hdbscan,,others,https://github.com/scikit-learn-contrib/hdbscan,https://github.com/scikit-learn-contrib/hdbscan,BSD-3-Clause,2015-04-22 13:32:37.000000,2021-11-26 23:18:05.000000,2021-11-24 18:26:20.000000,369,252.0,151.0,2031.0,923.0,A high performance implementation of HDBSCAN clustering.,74.0,28,True,2021-02-03 20:21:02.000000,0.8.27,43.0,hdbscan,conda-forge/hdbscan,['sklearn'],,222196.0,1234.0,1110.0,https://pypi.org/project/hdbscan,2021-02-03 20:21:02.000000,124.0,207055.0,https://anaconda.org/conda-forge/hdbscan,2021-02-14 03:07:15.749000,984184.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n190,filterpy,rlabbe/filterpy,,probabilistics,https://github.com/rlabbe/filterpy,https://github.com/rlabbe/filterpy,MIT,2014-07-15 02:15:19.000000,2021-12-09 10:44:51.000000,2021-05-04 18:33:52.000000,463,39.0,154.0,2031.0,542.0,\"Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman..\",36.0,28,True,2018-10-10 22:38:24.000000,1.4.5,48.0,filterpy,conda-forge/filterpy,,,372184.0,1346.0,1134.0,https://pypi.org/project/filterpy,2018-10-10 22:38:24.000000,212.0,370890.0,https://anaconda.org/conda-forge/filterpy,2020-05-05 21:13:59.073000,69920.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n191,Pythran,serge-sans-paille/pythran,,others,https://github.com/serge-sans-paille/pythran,https://github.com/serge-sans-paille/pythran,BSD-3-Clause,2012-05-29 08:02:14.000000,2021-12-08 20:21:24.000000,2021-12-06 06:16:28.000000,162,113.0,627.0,1659.0,3486.0,Ahead of Time compiler for numeric kernels.,64.0,28,True,2021-09-14 05:37:45.000000,0.10.0,51.0,pythran,conda-forge/pythran,,,190311.0,114.0,88.0,https://pypi.org/project/pythran,2021-09-14 05:37:45.000000,26.0,185429.0,https://anaconda.org/conda-forge/pythran,2021-11-05 02:26:49.727000,209931.0,1.0,,,,,,,,,,,,,,,,,,,,pythran,python-pythran,,,,,\n192,pyLDAvis,bmabey/pyLDAvis,,interpretability,https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03.000000,2021-11-22 20:42:31.000000,2021-03-24 13:03:31.000000,320,86.0,77.0,1545.0,240.0,Python library for interactive topic model visualization. Port of the R LDAvis package.,32.0,28,True,2021-03-24 13:05:21.000000,3.3.1,24.0,pyldavis,conda-forge/pyldavis,['jupyter'],,306311.0,3066.0,2868.0,https://pypi.org/project/pyldavis,2021-03-24 12:57:08.000000,198.0,305556.0,https://anaconda.org/conda-forge/pyldavis,2021-03-24 15:17:07.309000,31749.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n193,mleap,combust/mleap,,data-pipelines,https://github.com/combust/mleap,https://github.com/combust/mleap,Apache-2.0,2016-08-23 03:51:03.000000,2021-12-09 00:08:30.000000,2021-11-08 18:05:46.000000,285,85.0,348.0,1327.0,926.0,MLeap: Deploy ML Pipelines to Production.,70.0,28,True,2021-09-27 15:16:57.000000,0.18.1,8.0,mleap,conda-forge/mleap,,,72169.0,203.0,171.0,https://pypi.org/project/mleap,2021-09-27 15:16:57.000000,32.0,70875.0,https://anaconda.org/conda-forge/mleap,2021-10-02 22:28:24.067000,41438.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n194,Model Analysis,tensorflow/model-analysis,,interpretability,https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000000,2021-12-06 18:22:36.000000,2021-12-06 18:22:35.000000,238,25.0,47.0,1135.0,1073.0,Model analysis tools for TensorFlow.,36.0,28,True,2021-12-02 04:44:01.000000,0.36.0,46.0,tensorflow-model-analysis,,\"['tensorflow', 'jupyter']\",,3701647.0,20.0,,https://pypi.org/project/tensorflow-model-analysis,2021-12-02 04:44:01.000000,20.0,3701647.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n195,agate,wireservice/agate,,others,https://github.com/wireservice/agate,https://github.com/wireservice/agate,MIT,2014-04-25 13:59:09.000000,2021-10-06 19:36:50.000000,2021-07-15 17:22:49.000000,133,54.0,630.0,1071.0,1466.0,A Python data analysis library that is optimized for humans instead of machines.,49.0,28,True,2018-03-11 14:37:30.000000,1.6.1,25.0,agate,conda-forge/agate,,,561569.0,928.0,686.0,https://pypi.org/project/agate,2021-07-15 16:32:29.000000,242.0,560294.0,https://anaconda.org/conda-forge/agate,2021-07-16 07:46:42.405000,73965.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n196,pmdarima,alkaline-ml/pmdarima,,time-series-data,https://github.com/alkaline-ml/pmdarima,https://github.com/alkaline-ml/pmdarima,MIT,2017-03-30 14:58:30.000000,2021-11-28 22:03:01.000000,2021-11-28 21:48:59.000000,186,21.0,241.0,1065.0,1043.0,\"A statistical library designed to fill the void in Python's time series analysis capabilities, including the..\",19.0,28,True,2021-11-05 12:39:58.000000,1.8.4,36.0,pmdarima,,,,612421.0,1562.0,1550.0,https://pypi.org/project/pmdarima,2021-11-05 12:39:58.000000,12.0,612421.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n197,cartopy,SciTools/cartopy,,data-viz,https://github.com/SciTools/cartopy,https://github.com/SciTools/cartopy,LGPL-3.0,2012-08-03 07:43:59.000000,2021-12-05 19:00:38.000000,2021-12-05 15:31:32.000000,300,288.0,743.0,970.0,2560.0,Cartopy - a cartographic python library with matplotlib support.,106.0,28,False,2021-10-20 19:04:16.000000,0.20.1,24.0,cartopy,conda-forge/cartopy,,,91097.0,2400.0,2054.0,https://pypi.org/project/cartopy,2021-10-08 23:44:10.000000,346.0,63983.0,https://anaconda.org/conda-forge/cartopy,2021-11-20 12:45:41.185000,1870894.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n198,patsy,pydata/patsy,,probabilistics,https://github.com/pydata/patsy,https://github.com/pydata/patsy,BSD-2-Clause,2012-07-10 12:30:06.000000,2021-09-26 16:29:44.000000,2021-09-26 16:29:39.000000,94,73.0,68.0,806.0,539.0,Describing statistical models in Python using symbolic formulas.,16.0,28,True,2021-09-27 02:10:26.000000,0.5.2,9.0,patsy,conda-forge/patsy,,,2389828.0,49240.0,44316.0,https://pypi.org/project/patsy,2021-09-26 05:26:37.000000,4924.0,2327754.0,https://anaconda.org/conda-forge/patsy,2021-09-26 14:43:31.594000,3972758.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n199,pyproj,pyproj4/pyproj,,geospatial-data,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000000,2021-12-06 16:22:25.000000,2021-12-06 16:20:24.000000,167,8.0,449.0,687.0,,Python interface to PROJ (cartographic projections and coordinate transformations library).,44.0,28,True,2021-11-18 01:52:35.000000,3.3.0,39.0,pyproj,conda-forge/pyproj,,,2030683.0,14645.0,12183.0,https://pypi.org/project/pyproj,2021-11-18 01:52:35.000000,2462.0,1992648.0,https://anaconda.org/conda-forge/pyproj,2021-11-18 03:35:21.354000,2738565.0,2.0,-3.0,,,,,,,,,,,,,,,,,,,,,,,,,\n200,data-validation,tensorflow/data-validation,,data-viz,https://github.com/tensorflow/data-validation,https://github.com/tensorflow/data-validation,Apache-2.0,2018-07-02 15:47:02.000000,2021-12-03 21:38:47.000000,2021-12-03 21:38:46.000000,113,37.0,109.0,593.0,700.0,Library for exploring and validating machine learning data.,23.0,28,True,2021-12-01 23:17:43.000000,1.5.0,35.0,tensorflow-data-validation,,\"['tensorflow', 'jupyter']\",288.0,3841502.0,375.0,357.0,https://pypi.org/project/tensorflow-data-validation,2021-12-01 23:17:43.000000,18.0,3841495.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n201,Cython BLIS,explosion/cython-blis,,others,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16.000000,2021-11-17 12:08:58.000000,2021-11-17 12:08:58.000000,29,6.0,22.0,182.0,532.0,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,10.0,28,False,2021-10-27 09:16:31.000000,0.7.5,36.0,blis,conda-forge/cython-blis,,,1624151.0,14901.0,14511.0,https://pypi.org/project/blis,2021-10-22 08:50:51.000000,390.0,1589372.0,https://anaconda.org/conda-forge/cython-blis,2021-11-04 20:09:22.632000,1147725.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n202,fairseq,pytorch/fairseq,,nlp,https://github.com/pytorch/fairseq,https://github.com/pytorch/fairseq,MIT,2017-08-29 16:26:12.000000,2021-12-09 10:34:34.000000,2021-12-09 10:34:30.000000,3747,1087.0,2017.0,14787.0,,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,365.0,27,True,2021-01-05 20:26:45.000000,0.10.2,13.0,fairseq,,['pytorch'],151.0,15163.0,619.0,599.0,https://pypi.org/project/fairseq,2021-01-05 20:26:45.000000,20.0,15160.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n203,Sonnet,deepmind/sonnet,,ml-frameworks,https://github.com/deepmind/sonnet,https://github.com/deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35.000000,2021-11-30 10:18:29.000000,2021-11-30 10:18:21.000000,1281,22.0,146.0,9101.0,,TensorFlow-based neural network library.,53.0,27,True,2020-03-27 10:36:19.000000,2.0.0,27.0,dm-sonnet,conda-forge/sonnet,['tensorflow'],,155525.0,805.0,723.0,https://pypi.org/project/dm-sonnet,2020-03-27 10:36:10.000000,82.0,155023.0,https://anaconda.org/conda-forge/sonnet,2020-11-14 18:13:23.843000,12551.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n204,PySyft,OpenMined/PySyft,,privacy-ml,https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,Apache-2.0,2017-07-18 20:41:16.000000,2021-12-09 11:35:33.000000,2021-12-09 11:35:33.000000,1747,301.0,2754.0,7794.0,9339.0,A library for answering questions using data you cannot see.,426.0,27,True,2021-12-01 19:46:09.000000,0.6.0,61.0,syft,,['pytorch'],,2143.0,6.0,,https://pypi.org/project/syft,2021-12-01 19:46:09.000000,6.0,2143.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n205,carla,carla-simulator/carla,,others,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000000,2021-12-03 17:11:19.000000,2021-11-19 11:13:47.000000,2041,504.0,3134.0,6972.0,5439.0,Open-source simulator for autonomous driving research.,140.0,27,True,2021-11-17 08:28:27.000000,0.9.13,24.0,carla,,,,1561.0,110.0,106.0,https://pypi.org/project/carla,2021-11-17 08:28:27.000000,4.0,1561.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n206,imageai,OlafenwaMoses/ImageAI,,image,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33.000000,2021-12-04 10:57:04.000000,2021-05-08 20:05:36.000000,1852,250.0,424.0,6713.0,292.0,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,15.0,27,True,2021-01-05 01:26:01.000000,2.1.6,10.0,imageai,,,676240.0,20199.0,1024.0,1000.0,https://pypi.org/project/imageai,2021-01-05 01:26:01.000000,24.0,4830.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n207,DeepPavlov,deepmipt/DeepPavlov,,nlp,https://github.com/deepmipt/DeepPavlov,https://github.com/deepmipt/DeepPavlov,Apache-2.0,2017-11-17 14:35:29.000000,2021-12-08 06:00:12.000000,2021-09-28 17:29:02.000000,983,143.0,498.0,5509.0,2607.0,An open source library for deep learning end-to-end dialog systems and chatbots.,67.0,27,True,2021-09-28 17:35:36.000000,0.17.1,46.0,deeppavlov,,['tensorflow'],,5321.0,245.0,237.0,https://pypi.org/project/deeppavlov,2021-09-28 17:35:36.000000,8.0,5321.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n208,Metaflow,Netflix/metaflow,,ml-experiments,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000000,2021-12-09 14:17:16.000000,2021-12-09 06:42:00.000000,456,227.0,188.0,5077.0,393.0,Build and manage real-life data science projects with ease!.,42.0,27,True,2021-12-09 06:46:37.000000,2.4.5,36.0,metaflow,conda-forge/metaflow,,,19793.0,227.0,225.0,https://pypi.org/project/metaflow,2021-12-09 07:53:58.000000,2.0,18591.0,https://anaconda.org/conda-forge/metaflow,2021-12-09 09:01:48.220000,28852.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n209,Tokenizers,huggingface/tokenizers,,nlp,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000000,2021-12-07 08:08:58.000000,2021-10-07 14:56:48.000000,403,146.0,383.0,5062.0,1493.0,Fast State-of-the-Art Tokenizers optimized for Research and Production.,46.0,27,True,2021-09-08 07:18:04.000000,python-v0.11.0,62.0,tokenizers,conda-forge/tokenizers,,,2114447.0,38.0,38.0,https://pypi.org/project/tokenizers,2021-05-24 21:47:49.000000,0.0,2108312.0,https://anaconda.org/conda-forge/tokenizers,2021-09-22 14:56:29.695000,104295.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n210,InterpretML,interpretml/interpret,,interpretability,https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000000,2021-12-09 11:50:34.000000,2021-12-09 11:43:32.000000,536,93.0,167.0,4336.0,1791.0,Fit interpretable models. Explain blackbox machine learning.,28.0,27,True,2021-09-23 20:41:03.000000,0.2.7,37.0,interpret,,['jupyter'],,26999.0,135.0,133.0,https://pypi.org/project/interpret,2021-09-23 19:52:27.000000,2.0,26999.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n211,skorch,skorch-dev/skorch,,ml-frameworks,https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000000,2021-11-30 10:48:50.965000,2021-11-28 00:07:58.000000,298,52.0,366.0,4238.0,973.0,A scikit-learn compatible neural network library that wraps PyTorch.,47.0,27,True,2021-10-31 15:54:20.000000,0.11.0,14.0,skorch,conda-forge/skorch,\"['pytorch', 'sklearn']\",,22326.0,441.0,415.0,https://pypi.org/project/skorch,2021-10-31 15:48:51.000000,26.0,9707.0,https://anaconda.org/conda-forge/skorch,2021-11-30 10:48:50.965000,492141.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n212,Perspective,finos/perspective,,data-viz,https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000000,2021-12-09 09:30:07.000000,2021-12-09 02:34:28.000000,418,71.0,411.0,3971.0,4918.0,\"A data visualization and analytics component, especially well-suited for large and/or streaming datasets.\",65.0,27,True,2021-12-06 18:36:24.000000,1.0.5,57.0,perspective-python,,['jupyter'],,3441.0,227.0,219.0,https://pypi.org/project/perspective-python,2021-12-06 18:36:24.000000,8.0,1475.0,,,,2.0,,,,,,,,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2021-12-06 14:19:20.098000,,1966.0,,,,,,,,,,,,,\n213,PML,KevinMusgrave/pytorch-metric-learning,,pytorch-utils,https://github.com/KevinMusgrave/pytorch-metric-learning,https://github.com/KevinMusgrave/pytorch-metric-learning,MIT,2019-10-23 17:20:35.000000,2021-12-08 02:55:41.000000,2021-12-08 02:55:41.000000,486,54.0,267.0,3899.0,803.0,\"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.\",21.0,27,True,2021-11-28 20:20:55.000000,1.0.0,166.0,pytorch-metric-learning,metric-learning/pytorch-metric-learning,['pytorch'],,85616.0,171.0,171.0,https://pypi.org/project/pytorch-metric-learning,2021-11-28 19:05:22.000000,0.0,85398.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2021-11-28 19:31:02.821000,5017.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n214,DeepChem,deepchem/deepchem,,others,https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000000,2021-12-08 17:17:05.000000,2021-12-07 17:21:17.000000,1213,423.0,976.0,3307.0,7327.0,\"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.\",173.0,27,True,2021-03-18 03:10:52.000000,2.5.0,355.0,deepchem,,['tensorflow'],,3273.0,69.0,65.0,https://pypi.org/project/deepchem,2021-12-07 17:33:24.000000,4.0,3273.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n215,dyNET,clab/dynet,,ml-frameworks,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21.000000,2021-09-07 23:47:31.000000,2021-01-27 15:43:03.000000,703,259.0,659.0,3265.0,3267.0,DyNet: The Dynamic Neural Network Toolkit.,156.0,27,True,2020-10-21 14:31:01.000000,2.1.2,24.0,dyNET,,,4237.0,10537.0,234.0,196.0,https://pypi.org/project/dyNET,2020-10-21 14:31:01.000000,38.0,10469.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n216,plotnine,has2k1/plotnine,,data-viz,https://github.com/has2k1/plotnine,https://github.com/has2k1/plotnine,GPL-2.0,2017-04-24 19:00:44.000000,2021-12-03 12:07:16.000000,2021-12-03 12:04:39.000000,146,73.0,378.0,2867.0,1710.0,A grammar of graphics for Python.,89.0,27,False,2021-03-25 12:57:10.000000,0.8.0,11.0,plotnine,conda-forge/plotnine,,,96446.0,2974.0,2720.0,https://pypi.org/project/plotnine,2021-03-25 10:49:20.000000,254.0,93883.0,https://anaconda.org/conda-forge/plotnine,2021-03-25 12:31:04.423000,141002.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n217,ClearML,allegroai/clearml,,ml-experiments,https://github.com/allegroai/clearml,https://github.com/allegroai/clearml,Apache-2.0,2019-06-10 08:18:32.000000,2021-12-08 09:42:46.000000,2021-12-08 09:41:55.000000,395,137.0,283.0,2845.0,1444.0,\"ClearML - Auto-Magical Suite of tools to streamline your ML workflow. Experiment Manager, MLOps and Data-Management.\",40.0,27,True,2021-11-08 09:06:16.000000,1.1.4,51.0,clearml,,,376.0,37175.0,165.0,165.0,https://pypi.org/project/clearml,2021-12-04 21:24:18.000000,0.0,36160.0,,,,2.0,,,allegroai/trains,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,30094.0,,,,,,,,,,,,,,,,,,,\n218,Captum,pytorch/captum,,interpretability,https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000000,2021-12-07 03:54:26.000000,2021-12-07 03:54:23.000000,293,75.0,225.0,2813.0,880.0,Model interpretability and understanding for PyTorch.,77.0,27,True,2021-11-02 21:47:58.000000,0.4.1,7.0,captum,,['pytorch'],,19262.0,333.0,333.0,https://pypi.org/project/captum,2021-11-02 02:41:19.000000,0.0,19262.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n219,pomegranate,jmschrei/pomegranate,,probabilistics,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000000,2021-12-01 22:51:35.000000,2021-11-20 02:50:26.000000,509,59.0,606.0,2784.0,930.0,\"Fast, flexible and easy to use probabilistic modelling in Python.\",65.0,27,True,2021-11-01 20:09:53.000000,0.14.6,67.0,pomegranate,conda-forge/pomegranate,,,27717.0,636.0,580.0,https://pypi.org/project/pomegranate,2021-11-19 21:46:05.000000,56.0,25071.0,https://anaconda.org/conda-forge/pomegranate,2021-11-16 01:22:35.020000,76745.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n220,nlpaug,makcedward/nlpaug,,nlp,https://github.com/makcedward/nlpaug,https://github.com/makcedward/nlpaug,MIT,2019-03-21 03:00:17.000000,2021-12-06 14:18:42.000000,2021-12-01 15:40:42.000000,308,26.0,129.0,2721.0,691.0,Data augmentation for NLP.,24.0,27,True,2021-12-01 15:44:08.000000,1.1.9,35.0,nlpaug,,,,19774.0,214.0,212.0,https://pypi.org/project/nlpaug,2021-12-01 15:43:27.000000,2.0,19774.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n221,gpustat,wookayin/gpustat,,gpu-utilities,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43.000000,2021-11-07 22:16:42.000000,2021-08-13 10:24:05.000000,207,22.0,56.0,2653.0,170.0,A simple command-line utility for querying and monitoring GPU status.,12.0,27,True,2019-07-22 06:37:00.000000,0.6.0,11.0,gpustat,conda-forge/gpustat,,,206955.0,1523.0,1465.0,https://pypi.org/project/gpustat,2021-01-02 05:59:41.000000,58.0,203903.0,https://anaconda.org/conda-forge/gpustat,2020-11-24 19:59:04.772000,100734.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n222,NMSLIB,nmslib/nmslib,,nn-search,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06.000000,2021-11-22 21:32:33.032000,2021-09-19 04:51:57.000000,371,60.0,331.0,2646.0,1511.0,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,45.0,27,True,2021-02-03 16:40:09.000000,2.1.1,32.0,nmslib,conda-forge/nmslib,,,47735.0,564.0,512.0,https://pypi.org/project/nmslib,2021-02-03 00:02:08.000000,52.0,45469.0,https://anaconda.org/conda-forge/nmslib,2021-11-22 21:32:33.032000,45322.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n223,sklearn-pandas,scikit-learn-contrib/sklearn-pandas,,data-containers,https://github.com/scikit-learn-contrib/sklearn-pandas,https://github.com/scikit-learn-contrib/sklearn-pandas,Zlib,2013-04-22 22:55:20.000000,2021-10-17 18:07:36.000000,2021-05-08 08:05:59.000000,393,25.0,127.0,2525.0,287.0,Pandas integration with sklearn.,37.0,27,False,2021-05-08 08:32:08.000000,2.1.0,27.0,sklearn-pandas,,\"['sklearn', 'pandas']\",,255526.0,3399.0,3177.0,https://pypi.org/project/sklearn-pandas,2021-05-08 08:14:28.000000,222.0,255526.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n224,spark-nlp,JohnSnowLabs/spark-nlp,,nlp,https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000000,2021-12-09 13:31:11.000000,2021-12-09 09:07:30.000000,512,91.0,519.0,2504.0,13086.0,State of the Art Natural Language Processing.,104.0,27,True,2021-11-25 15:16:53.000000,3.3.4,97.0,spark-nlp,,['spark'],,744827.0,0.0,,https://pypi.org/project/spark-nlp,2021-11-25 14:32:50.000000,0.0,744827.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n225,pygal,Kozea/pygal,,graph,https://github.com/Kozea/pygal,https://github.com/Kozea/pygal,LGPL-3.0,2011-09-23 10:17:50.000000,2021-11-29 10:47:48.000000,2021-11-24 21:04:02.000000,391,177.0,244.0,2414.0,1018.0,PYthon svg GrAph plotting Library.,71.0,27,False,2021-11-24 21:07:22.000000,3.0.0,75.0,pygal,conda-forge/pygal,,,56086.0,1152.0,,https://pypi.org/project/pygal,2021-11-24 21:07:22.000000,1152.0,55771.0,https://anaconda.org/conda-forge/pygal,2019-06-04 02:55:56.728000,9455.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n226,Flax,google/flax,,ml-frameworks,https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000000,2021-12-09 00:25:41.000000,2021-12-09 00:25:37.000000,267,166.0,272.0,2361.0,,Flax is a neural network library for JAX that is designed for flexibility.,123.0,27,True,2021-10-27 21:00:51.000000,0.3.6,15.0,flax,,['jax'],31.0,2617323.0,557.0,551.0,https://pypi.org/project/flax,2021-10-27 21:00:51.000000,6.0,2617322.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n227,GluonNLP,dmlc/gluon-nlp,,nlp,https://github.com/dmlc/gluon-nlp,https://github.com/dmlc/gluon-nlp,Apache-2.0,2018-04-04 20:57:13.000000,2021-12-02 15:56:37.000000,2021-08-24 19:11:38.000000,519,260.0,295.0,2347.0,840.0,\"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..\",82.0,27,True,2020-08-13 19:17:42.000000,0.10.0,26.0,gluonnlp,,['mxnet'],,113851.0,696.0,674.0,https://pypi.org/project/gluonnlp,2020-08-13 19:17:42.000000,22.0,113851.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n228,pytorch-optimizer,jettify/pytorch-optimizer,,pytorch-utils,https://github.com/jettify/pytorch-optimizer,https://github.com/jettify/pytorch-optimizer,Apache-2.0,2020-01-03 03:16:39.000000,2021-12-06 10:09:18.000000,2021-11-11 16:56:57.000000,207,16.0,28.0,2230.0,430.0,torch-optimizer -- collection of optimizers for Pytorch.,25.0,27,True,2021-10-31 03:00:19.000000,0.3.0,21.0,torch_optimizer,,['pytorch'],,34935.0,404.0,404.0,https://pypi.org/project/torch_optimizer,2021-10-31 03:00:19.000000,0.0,34935.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n229,dtreeviz,parrt/dtreeviz,,interpretability,https://github.com/parrt/dtreeviz,https://github.com/parrt/dtreeviz,MIT,2018-08-13 21:45:15.000000,2021-12-03 00:18:48.000000,2021-12-03 00:18:48.000000,231,20.0,93.0,1829.0,373.0,A python library for decision tree visualization and model interpretation.,17.0,27,True,2021-11-10 22:55:11.000000,1.3.2,25.0,dtreeviz,,,,94774.0,274.0,270.0,https://pypi.org/project/dtreeviz,2021-11-10 22:51:55.000000,4.0,94774.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n230,MNE,mne-tools/mne-python,,medical-data,https://github.com/mne-tools/mne-python,https://github.com/mne-tools/mne-python,BSD-3-Clause,2011-01-28 03:31:13.000000,2021-12-09 12:05:47.000000,2021-12-09 10:28:52.000000,973,354.0,3531.0,1754.0,,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,277.0,27,True,2021-12-01 22:27:11.000000,0.24.1,58.0,mne,conda-forge/mne,,,20664.0,1485.0,1287.0,https://pypi.org/project/mne,2021-12-01 22:27:11.000000,198.0,17609.0,https://anaconda.org/conda-forge/mne,2021-12-02 00:46:15.614000,177193.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n231,datasketch,ekzhu/datasketch,,data-containers,https://github.com/ekzhu/datasketch,https://github.com/ekzhu/datasketch,MIT,2015-03-20 01:21:46.000000,2021-12-04 09:09:27.000000,2021-12-04 09:05:51.000000,232,29.0,96.0,1628.0,199.0,\"MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble.\",19.0,27,True,2021-12-04 06:29:48.000000,1.5.4,76.0,datasketch,,,18.0,185822.0,419.0,333.0,https://pypi.org/project/datasketch,2021-12-04 06:28:45.000000,86.0,185822.0,,,,3.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,\n232,jellyfish,jamesturk/jellyfish,,nlp,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,BSD-2-Clause,2010-07-09 20:41:11.000000,2021-12-09 10:35:27.000000,2021-11-16 18:49:21.000000,142,9.0,98.0,1561.0,,a python library for doing approximate and phonetic matching of strings.,25.0,27,True,2021-10-26 15:22:58.000000,0.8.9,31.0,jellyfish,conda-forge/jellyfish,,,830539.0,3652.0,3006.0,https://pypi.org/project/jellyfish,2021-10-26 15:22:58.000000,646.0,828018.0,https://anaconda.org/conda-forge/jellyfish,2021-12-07 17:07:35.913000,158829.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n233,GPflow,GPflow/GPflow,,probabilistics,https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000000,2021-12-07 12:04:37.000000,2021-12-03 16:30:55.000000,411,119.0,621.0,1541.0,2248.0,Gaussian processes in TensorFlow.,72.0,27,True,2021-10-26 09:45:06.000000,2.3.0,32.0,gpflow,conda-forge/gpflow,['tensorflow'],,3679.0,347.0,313.0,https://pypi.org/project/gpflow,2021-10-26 09:45:06.000000,34.0,3452.0,https://anaconda.org/conda-forge/gpflow,2018-11-06 08:51:39.744000,9792.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n234,torchaudio,pytorch/audio,,audio,https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000000,2021-12-09 12:45:29.000000,2021-12-08 02:49:56.000000,358,132.0,440.0,1494.0,1168.0,\"Data manipulation and transformation for audio signal processing, powered by PyTorch.\",144.0,27,True,2021-10-21 15:55:34.000000,0.10.0,17.0,torchaudio,,['pytorch'],,164452.0,18.0,,https://pypi.org/project/torchaudio,2021-10-21 15:06:46.000000,18.0,164452.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n235,petastorm,uber/petastorm,,distributed-ml,https://github.com/uber/petastorm,https://github.com/uber/petastorm,Apache-2.0,2018-06-15 23:15:29.000000,2021-10-27 18:10:41.000000,2021-10-27 18:10:41.000000,217,135.0,132.0,1305.0,664.0,Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets..,43.0,27,True,2021-09-04 05:47:24.000000,0.11.3,75.0,petastorm,,,309.0,68540.0,51.0,51.0,https://pypi.org/project/petastorm,2021-09-04 05:47:24.000000,0.0,68533.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n236,snakemake,snakemake/snakemake,,ml-experiments,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867000,2021-12-09 11:23:12.000000,2021-12-09 09:36:54.000000,272,529.0,292.0,1182.0,,\"This is the development home of the workflow management system Snakemake. For general information, see.\",229.0,27,True,2021-12-09 09:37:52.000000,6.12.3,195.0,snakemake,bioconda/snakemake,,,15837.0,1272.0,984.0,https://pypi.org/project/snakemake,2021-12-09 09:38:13.000000,288.0,10996.0,https://anaconda.org/bioconda/snakemake,2021-12-09 07:55:24.711000,358239.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n237,Mesh,tensorflow/mesh,,distributed-ml,https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34.000000,2021-11-09 23:55:29.000000,2021-10-18 19:57:56.000000,196,88.0,14.0,1163.0,643.0,Mesh TensorFlow: Model Parallelism Made Easier.,44.0,27,True,2021-03-24 19:03:46.000000,0.1.19,25.0,mesh-tensorflow,,['tensorflow'],,177458.0,667.0,611.0,https://pypi.org/project/mesh-tensorflow,2021-03-24 19:03:46.000000,56.0,177458.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n238,arviz,arviz-devs/arviz,,interpretability,https://github.com/arviz-devs/arviz,https://github.com/arviz-devs/arviz,Apache-2.0,2015-07-29 11:51:10.000000,2021-12-09 01:51:15.000000,2021-12-09 01:51:15.000000,252,193.0,553.0,1119.0,,Exploratory analysis of Bayesian models with Python.,105.0,27,True,2021-10-03 11:17:21.000000,0.11.4,25.0,arviz,conda-forge/arviz,,111.0,175264.0,1710.0,1674.0,https://pypi.org/project/arviz,2021-10-03 11:17:21.000000,36.0,156749.0,https://anaconda.org/conda-forge/arviz,2021-10-03 15:30:41.137000,573921.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n239,PyVista,pyvista/pyvista,,data-viz,https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000000,2021-12-09 02:57:29.000000,2021-12-08 07:01:54.000000,196,173.0,467.0,1027.0,2250.0,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,64.0,27,True,2021-09-11 20:03:16.000000,0.32.1,49.0,pyvista,conda-forge/pyvista,['jupyter'],383.0,21915.0,563.0,537.0,https://pypi.org/project/pyvista,2021-09-11 20:03:16.000000,26.0,17624.0,https://anaconda.org/conda-forge/pyvista,2021-09-12 01:56:26.368000,132823.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n240,petl,petl-developers/petl,,data-pipelines,https://github.com/petl-developers/petl,https://github.com/petl-developers/petl,MIT,2011-08-19 09:51:03.000000,2021-12-07 13:12:03.000000,2021-10-15 01:37:34.000000,165,73.0,351.0,951.0,1154.0,Python Extract Transform and Load Tables of Data.,51.0,27,True,2021-10-15 03:48:10.000000,1.7.5,79.0,petl,conda-forge/petl,,,20390.0,690.0,576.0,https://pypi.org/project/petl,2021-03-27 03:06:14.000000,114.0,19609.0,https://anaconda.org/conda-forge/petl,2021-04-05 21:49:41.242000,49237.0,2.0,,http://petl.readthedocs.org,,,,,,,,,,,,,,,,,,,,,,,,\n241,kmodes,nicodv/kmodes,,others,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40.000000,2021-10-08 04:35:56.000000,2021-10-08 04:32:34.000000,354,19.0,122.0,931.0,470.0,\"Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data.\",19.0,27,True,2021-10-08 04:41:31.000000,0.11.1,14.0,kmodes,,,,148262.0,919.0,893.0,https://pypi.org/project/kmodes,2021-10-08 04:35:56.000000,26.0,148262.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n242,igraph,igraph/python-igraph,,graph,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16.000000,2021-12-03 06:12:11.000000,2021-12-02 18:46:18.000000,206,29.0,316.0,901.0,1837.0,Python interface for igraph.,56.0,27,False,2021-10-29 01:08:18.000000,0.9.8,25.0,python-igraph,conda-forge/igraph,,291113.0,101977.0,801.0,377.0,https://pypi.org/project/python-igraph,2021-10-29 00:55:02.000000,424.0,92679.0,https://anaconda.org/conda-forge/igraph,2021-11-12 06:30:55.873000,262380.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n243,zarr,zarr-developers/zarr-python,,data-containers,https://github.com/zarr-developers/zarr-python,https://github.com/zarr-developers/zarr-python,MIT,2015-12-15 14:49:40.000000,2021-12-09 11:39:34.000000,2021-12-02 08:50:21.000000,134,198.0,273.0,823.0,1513.0,\"An implementation of chunked, compressed, N-dimensional arrays for Python.\",52.0,27,True,2021-11-19 08:12:25.000000,2.10.3,49.0,zarr,conda-forge/zarr,,,58569.0,1033.0,961.0,https://pypi.org/project/zarr,2021-11-19 08:12:25.000000,72.0,41152.0,https://anaconda.org/conda-forge/zarr,2021-11-19 10:43:50.744000,1166977.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n244,geojson,jazzband/geojson,,geospatial-data,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48.000000,2021-11-11 11:08:46.000000,2021-11-11 10:02:01.000000,87,19.0,58.0,675.0,455.0,Python bindings and utilities for GeoJSON.,45.0,27,True,2019-08-09 20:32:15.000000,2.5.0,28.0,geojson,conda-forge/geojson,,,343816.0,9984.0,8150.0,https://pypi.org/project/geojson,2019-08-09 20:32:15.000000,1834.0,337116.0,https://anaconda.org/conda-forge/geojson,2019-08-11 12:10:34.426000,462347.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n245,PyNNDescent,lmcinnes/pynndescent,,nn-search,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000000,2021-12-08 17:38:15.000000,2021-12-08 17:38:15.000000,69,42.0,47.0,523.0,534.0,A Python nearest neighbor descent for approximate nearest neighbors.,18.0,27,True,2021-10-15 14:06:19.000000,0.5.5,24.0,pynndescent,conda-forge/pynndescent,,,916727.0,1031.0,1025.0,https://pypi.org/project/pynndescent,2021-10-15 13:34:09.000000,6.0,903025.0,https://anaconda.org/conda-forge/pynndescent,2021-10-15 15:32:23.572000,411071.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n246,DIPY,dipy/dipy,,medical-data,https://github.com/dipy/dipy,https://github.com/dipy/dipy,BSD-3-Clause,2010-02-06 11:43:08.000000,2021-12-03 03:48:36.000000,2021-12-03 03:48:36.000000,331,123.0,636.0,482.0,11739.0,\"DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal..\",127.0,27,True,2021-03-14 14:05:15.000000,1.4.0,23.0,dipy,conda-forge/dipy,,,8952.0,568.0,474.0,https://pypi.org/project/dipy,2021-05-06 04:40:48.000000,94.0,4880.0,https://anaconda.org/conda-forge/dipy,2021-05-06 13:36:55.402000,272872.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n247,audioread,beetbox/audioread,,audio,https://github.com/beetbox/audioread,https://github.com/beetbox/audioread,MIT,2011-11-08 19:53:18.000000,2021-12-03 18:19:53.000000,2021-12-03 18:19:53.000000,89,31.0,46.0,381.0,251.0,cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python.,21.0,27,True,2020-10-20 11:23:09.000000,2.1.9,25.0,audioread,conda-forge/audioread,,,282203.0,7389.0,6803.0,https://pypi.org/project/audioread,2020-10-20 11:23:09.000000,586.0,276558.0,https://anaconda.org/conda-forge/audioread,2021-11-07 14:43:40.465000,366953.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n248,detectron2,facebookresearch/detectron2,,image,https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000000,2021-12-08 22:08:54.000000,2021-12-08 22:08:51.000000,5019,143.0,2643.0,19142.0,,\"Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.\",195.0,26,True,2021-11-15 22:08:26.000000,0.6,10.0,,conda-forge/detectron2,['pytorch'],,1857.0,431.0,431.0,,,,,https://anaconda.org/conda-forge/detectron2,2021-07-30 18:54:13.472000,35297.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n249,PaddleOCR,PaddlePaddle/PaddleOCR,,ocr,https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000000,2021-12-09 12:04:59.000000,2021-12-09 05:45:54.000000,3610,970.0,2578.0,17904.0,,\"Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages..\",73.0,26,True,2021-05-26 11:43:06.000000,2.1.1,19.0,paddleocr,,['paddle'],,19433.0,446.0,446.0,https://pypi.org/project/paddleocr,2021-11-17 08:44:28.000000,0.0,19433.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n250,MMDetection,open-mmlab/mmdetection,,image,https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000000,2021-12-09 12:57:41.000000,2021-11-30 14:13:41.000000,6210,366.0,4490.0,17519.0,1838.0,OpenMMLab Detection Toolbox and Benchmark.,283.0,26,True,2021-11-30 14:15:59.000000,2.19.0,21.0,,,['pytorch'],,,190.0,190.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n251,Magenta,magenta/magenta,,audio,https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40.000000,2021-10-18 02:01:53.000000,2021-06-30 21:44:13.000000,3518,321.0,569.0,17244.0,,Magenta: Music and Art Generation with Machine Intelligence.,149.0,26,True,2020-11-12 19:17:18.000000,2.1.3,66.0,magenta,,['tensorflow'],,4347.0,396.0,326.0,https://pypi.org/project/magenta,2020-11-12 19:17:18.000000,70.0,4347.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n252,Faiss,facebookresearch/faiss,,nn-search,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000000,2021-12-07 21:12:33.000000,2021-12-07 21:12:30.000000,2391,216.0,1446.0,15343.0,,A library for efficient similarity search and clustering of dense vectors.,90.0,26,True,2021-06-09 09:16:17.000000,1.1.2,57.0,pymilvus,conda-forge/faiss,,,21471.0,524.0,518.0,https://pypi.org/project/pymilvus,2021-11-01 10:54:41.000000,6.0,9834.0,https://anaconda.org/conda-forge/faiss,2021-11-20 08:01:48.432000,221119.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n253,Prophet,facebook/prophet,,time-series-data,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000000,2021-11-09 17:34:47.000000,2021-10-03 23:20:15.000000,3888,161.0,1575.0,13792.0,,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,137.0,26,True,2021-04-02 23:45:16.000000,1.0,14.0,fbprophet,,,639.0,608114.0,150.0,,https://pypi.org/project/fbprophet,2020-09-05 16:12:50.000000,150.0,608103.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n254,baselines,openai/baselines,,reinforcement-learning,https://github.com/openai/baselines,https://github.com/openai/baselines,MIT,2017-05-24 01:58:13.000000,2021-12-03 07:10:56.000000,2020-01-31 13:06:18.000000,4144,472.0,430.0,12121.0,347.0,OpenAI Baselines: high-quality implementations of reinforcement learning algorithms.,114.0,26,False,2018-02-26 17:07:07.000000,0.1.5,6.0,baselines,,,,766.0,432.0,358.0,https://pypi.org/project/baselines,2018-02-26 17:07:07.000000,74.0,766.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n255,Turi Create,apple/turicreate,,ml-frameworks,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04.000000,2021-11-29 19:55:31.000000,2021-11-29 19:55:31.000000,1111,484.0,1281.0,10512.0,,Turi Create simplifies the development of custom machine learning models.,82.0,26,True,2020-09-30 22:51:40.000000,6.4.1,31.0,turicreate,,,4923.0,14916.0,313.0,279.0,https://pypi.org/project/turicreate,2020-09-30 22:51:40.000000,34.0,14814.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n256,backtrader,mementum/backtrader,,financial-data,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52.000000,2021-12-08 22:13:35.000000,2021-07-17 22:17:12.000000,2390,37.0,,7774.0,2385.0,Python Backtesting library for trading strategies.,52.0,26,False,,,155.0,backtrader,,,,7961.0,903.0,833.0,https://pypi.org/project/backtrader,2020-07-03 13:02:14.000000,70.0,7961.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n257,TensorLayer,tensorlayer/tensorlayer,,reinforcement-learning,https://github.com/tensorlayer/TensorLayer,https://github.com/tensorlayer/TensorLayer,Apache-2.0,2016-06-07 15:55:16.000000,2021-12-03 08:14:02.000000,2021-10-29 08:29:08.000000,1487,20.0,437.0,6788.0,3350.0,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,132.0,26,True,2021-01-06 07:16:21.000000,2.2.4,82.0,tensorlayer,,['tensorflow'],1289.0,1440.0,68.0,,https://pypi.org/project/tensorlayer,2020-06-19 00:53:37.000000,68.0,1420.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n258,Facets Overview,pair-code/facets,,data-viz,https://github.com/PAIR-code/facets,https://github.com/PAIR-code/facets,Apache-2.0,2017-07-07 14:03:03.000000,2021-11-29 10:48:23.000000,2021-05-06 12:01:05.000000,834,76.0,76.0,6737.0,264.0,Visualizations for machine learning datasets.,28.0,26,True,2019-07-24 15:57:06.000000,1.0.0,4.0,facets-overview,,['jupyter'],,90427.0,97.0,91.0,https://pypi.org/project/facets-overview,2019-07-24 15:57:06.000000,6.0,90427.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n259,EfficientNet-PyTorch,lukemelas/EfficientNet-PyTorch,,pytorch-utils,https://github.com/lukemelas/EfficientNet-PyTorch,https://github.com/lukemelas/EfficientNet-PyTorch,Apache-2.0,2019-05-30 05:24:11.000000,2021-11-02 08:10:31.000000,2021-04-15 15:16:36.000000,1309,130.0,134.0,6670.0,162.0,A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!).,24.0,26,True,2021-04-15 15:17:23.000000,0.7.1,13.0,efficientnet-pytorch,,['pytorch'],1026301.0,173673.0,14.0,,https://pypi.org/project/efficientnet-pytorch,2021-04-15 15:17:23.000000,14.0,124802.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n260,tsfresh,blue-yonder/tsfresh,,time-series-data,https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17.000000,2021-12-02 15:36:20.000000,2021-10-31 20:49:30.000000,927,42.0,432.0,6064.0,398.0,Automatic extraction of relevant features from time series:.,79.0,26,True,2021-03-06 08:49:53.000000,0.18.0,26.0,tsfresh,conda-forge/tsfresh,['sklearn'],,155559.0,66.0,,https://pypi.org/project/tsfresh,2020-09-09 21:08:22.000000,66.0,154156.0,https://anaconda.org/conda-forge/tsfresh,2021-03-07 06:57:04.012000,68777.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n261,DeepSpeed,microsoft/DeepSpeed,,distributed-ml,https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,MIT,2020-01-23 18:35:18.000000,2021-12-09 06:23:59.000000,2021-12-09 00:29:13.000000,649,372.0,373.0,5997.0,804.0,\"DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.\",84.0,26,True,2021-12-01 01:16:49.000000,0.5.8,39.0,deepspeed,,['pytorch'],,23573.0,127.0,127.0,https://pypi.org/project/deepspeed,2021-12-01 01:15:45.000000,0.0,23047.0,,,,2.0,,,deepspeed/deepspeed,https://hub.docker.com/r/deepspeed/deepspeed,2021-05-05 21:39:11.981563,3.0,12112.0,,,,,,,,,,,,,,,,,,,\n262,OCRmyPDF,jbarlow83/OCRmyPDF,,ocr,https://github.com/jbarlow83/OCRmyPDF,https://github.com/jbarlow83/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000000,2021-12-07 19:29:37.000000,2021-12-07 04:00:53.000000,515,87.0,685.0,5496.0,3129.0,\"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.\",58.0,26,True,2021-12-07 08:36:05.000000,13.1.0,188.0,ocrmypdf,,,,10201.0,12.0,,https://pypi.org/project/ocrmypdf,2021-12-07 08:36:05.000000,12.0,10201.0,,,,2.0,,,,,,,,,,,,,,,ocrmypdf,ocrmypdf,,,,,,,,,,\n263,librosa,librosa/librosa,,audio,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000000,2021-12-09 12:57:14.000000,2021-12-07 14:52:22.000000,773,47.0,887.0,4885.0,,Python library for audio and music analysis.,92.0,26,True,2021-05-26 10:15:06.000000,0.8.1,31.0,librosa,conda-forge/librosa,,,291256.0,1750.0,,https://pypi.org/project/librosa,2021-05-26 10:15:06.000000,1750.0,284840.0,https://anaconda.org/conda-forge/librosa,2021-05-26 10:44:27.607000,417052.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n264,Kedro,quantumblacklabs/kedro,,data-pipelines,https://github.com/quantumblacklabs/kedro,https://github.com/quantumblacklabs/kedro,Apache-2.0,2019-04-18 10:29:56.000000,2021-12-09 14:48:16.000000,2021-12-09 13:31:38.000000,530,50.0,538.0,4738.0,,\"A Python framework for creating reproducible, maintainable and modular data science code.\",134.0,26,True,2021-09-14 15:12:54.000000,0.17.5,29.0,kedro,,,,116478.0,639.0,623.0,https://pypi.org/project/kedro,2021-09-14 15:12:54.000000,16.0,116478.0,,,,2.0,-3.0,,,,,,,,,,,,,,,,,,,,,,,,,\n265,sktime,alan-turing-institute/sktime,,time-series-data,https://github.com/alan-turing-institute/sktime,https://github.com/alan-turing-institute/sktime,BSD-3-Clause,2018-11-06 15:08:24.000000,2021-12-09 13:49:36.000000,2021-12-08 23:37:29.000000,709,274.0,534.0,4714.0,,A unified framework for machine learning with time series.,131.0,26,True,2021-12-08 20:04:41.000000,0.9.0,19.0,sktime,,['sklearn'],64.0,68977.0,307.0,307.0,https://pypi.org/project/sktime,2021-12-08 20:04:41.000000,0.0,68975.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n266,Augmentor,mdbloice/Augmentor,,image,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55.000000,2021-10-15 05:38:50.000000,2021-10-15 05:38:50.000000,830,122.0,70.0,4583.0,537.0,Image augmentation library in Python for machine learning.,22.0,26,True,2021-10-14 08:49:48.000000,0.2.9,21.0,Augmentor,,,,5701.0,425.0,383.0,https://pypi.org/project/Augmentor,2021-10-14 08:49:48.000000,42.0,5701.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n267,kaggle,Kaggle/kaggle-api,,ml-experiments,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000000,2021-11-28 20:23:07.000000,2021-03-15 15:49:05.000000,863,190.0,144.0,4446.0,145.0,Official Kaggle API.,36.0,26,True,2021-03-13 00:50:03.000000,1.5.12,48.0,kaggle,conda-forge/kaggle,,,155306.0,564.0,,https://pypi.org/project/kaggle,2021-03-13 00:50:03.000000,564.0,152901.0,https://anaconda.org/conda-forge/kaggle,2021-11-15 19:59:06.419000,74566.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n268,pyAudioAnalysis,tyiannak/pyAudioAnalysis,,audio,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13.000000,2021-11-12 09:45:54.000000,2021-11-12 09:42:45.000000,1047,173.0,114.0,4261.0,723.0,\"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.\",25.0,26,True,2021-11-12 09:45:54.000000,0.3.8,17.0,pyAudioAnalysis,,,,5776.0,264.0,242.0,https://pypi.org/project/pyAudioAnalysis,2021-11-12 09:45:54.000000,22.0,5776.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n269,pyfolio,quantopian/pyfolio,,financial-data,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39.000000,2021-09-29 21:14:06.000000,2020-07-15 13:46:58.000000,1266,134.0,265.0,4150.0,1184.0,Portfolio and risk analytics in Python.,55.0,26,False,2019-04-15 15:00:21.000000,0.9.2,22.0,pyfolio,conda-forge/pyfolio,,,3567.0,391.0,337.0,https://pypi.org/project/pyfolio,2019-04-15 15:00:21.000000,54.0,3400.0,https://anaconda.org/conda-forge/pyfolio,2020-05-16 14:11:57.267000,7715.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n270,AutoGluon,awslabs/autogluon,,hyperopt,https://github.com/awslabs/autogluon,https://github.com/awslabs/autogluon,Apache-2.0,2019-07-29 18:51:24.000000,2021-12-09 09:04:12.000000,2021-12-06 21:29:38.000000,504,131.0,439.0,3879.0,711.0,\"AutoGluon: AutoML for Text, Image, and Tabular Data.\",62.0,26,True,2021-08-31 20:48:52.000000,0.3.1,626.0,autogluon,,['mxnet'],,11360.0,86.0,86.0,https://pypi.org/project/autogluon,2021-12-09 09:04:12.000000,0.0,11360.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n271,Activeloop,activeloopai/Hub,,data-pipelines,https://github.com/activeloopai/Hub,https://github.com/activeloopai/Hub,MPL-2.0,2019-08-09 06:17:59.000000,2021-12-09 12:11:13.000000,2021-12-09 05:59:37.000000,311,67.0,262.0,3877.0,2201.0,Dataset format for AI. Easily build and manage datasets for machine and deep learning. Stream data real-time &..,88.0,26,True,2021-11-29 01:57:28.000000,2.1.1,119.0,hub,,,,1225.0,187.0,135.0,https://pypi.org/project/hub,2021-11-29 01:56:04.000000,52.0,1225.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n272,lightfm,lyst/lightfm,,recommender-systems,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00.000000,2021-10-29 14:19:26.000000,2021-02-07 21:16:06.000000,610,90.0,344.0,3870.0,428.0,\"A Python implementation of LightFM, a hybrid recommendation algorithm.\",44.0,26,True,2020-11-27 19:48:30.000000,1.16,14.0,lightfm,conda-forge/lightfm,,,113143.0,658.0,602.0,https://pypi.org/project/lightfm,2020-11-27 19:55:08.000000,56.0,110785.0,https://anaconda.org/conda-forge/lightfm,2021-02-07 22:19:58.097000,110853.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n273,Alpha Vantage,RomelTorres/alpha_vantage,,financial-data,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00.000000,2021-12-06 01:38:57.000000,2021-06-14 05:10:42.000000,625,14.0,248.0,3552.0,497.0,A python wrapper for Alpha Vantage API for financial data.,39.0,26,True,2020-12-21 02:37:29.000000,2.3.1,28.0,alpha_vantage,,,,12218.0,202.0,,https://pypi.org/project/alpha_vantage,2018-08-26 18:55:11.000000,202.0,12218.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n274,pytorch-summary,sksq96/pytorch-summary,,pytorch-utils,https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04.000000,2021-06-20 09:40:21.000000,2021-05-10 18:34:53.000000,374,118.0,39.0,3336.0,57.0,Model summary in PyTorch similar to `model.summary()` in Keras.,11.0,26,True,2018-09-26 05:07:28.000000,1.5.1,12.0,torchsummary,,['pytorch'],,62822.0,3969.0,3851.0,https://pypi.org/project/torchsummary,2018-09-26 05:07:28.000000,118.0,62822.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n275,BentoML,bentoml/BentoML,,model-serialisation,https://github.com/bentoml/BentoML,https://github.com/bentoml/BentoML,Apache-2.0,2019-04-02 01:39:27.000000,2021-12-09 10:27:18.000000,2021-12-03 06:24:55.000000,351,84.0,420.0,3043.0,1161.0,Model Serving Made Easy.,90.0,26,True,2021-07-13 10:52:52.000000,0.13.1,70.0,bentoml,,,932.0,6625.0,150.0,142.0,https://pypi.org/project/bentoml,2021-07-13 07:00:28.000000,8.0,6596.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n276,deepface,serengil/deepface,,image,https://github.com/serengil/deepface,https://github.com/serengil/deepface,MIT,2020-02-08 20:42:28.000000,2021-11-24 07:47:13.000000,2021-11-24 07:47:12.000000,645,7.0,354.0,2855.0,642.0,\"A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python.\",18.0,26,True,2021-08-20 15:03:44.000000,0.0.68,67.0,deepface,,,,17991.0,326.0,326.0,https://pypi.org/project/deepface,2021-08-20 15:03:44.000000,0.0,17991.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n277,Catalyst,catalyst-team/catalyst,,ml-experiments,https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13.000000,2021-12-09 08:40:48.000000,2021-12-09 06:43:56.000000,350,10.0,318.0,2795.0,1663.0,Accelerated deep learning R&D.,101.0,26,True,2021-11-30 07:36:48.000000,21.11,103.0,catalyst,,['pytorch'],,6855.0,485.0,447.0,https://pypi.org/project/catalyst,2021-11-30 07:53:23.000000,38.0,6855.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n278,VisPy,vispy/vispy,,data-viz,https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22.000000,2021-12-07 08:58:14.000000,2021-12-07 08:58:13.000000,582,289.0,1010.0,2769.0,,High-performance interactive 2D/3D data visualization library.,166.0,26,True,2021-11-24 17:23:39.000000,0.9.4,27.0,vispy,conda-forge/vispy,['jupyter'],,23381.0,766.0,644.0,https://pypi.org/project/vispy,2021-11-24 16:27:44.000000,122.0,19458.0,https://anaconda.org/conda-forge/vispy,2021-11-24 21:55:08.590000,195563.0,3.0,,,,,,,,,vispy,https://www.npmjs.com/package/vispy,2020-03-15 14:39:41.516000,,12.0,,,,,,,,,,,,,\n279,Sumy,miso-belica/sumy,,nlp,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48.000000,2021-11-23 21:07:29.000000,2021-11-23 21:07:29.000000,462,15.0,80.0,2695.0,,Module for automatic summarization of text documents and HTML pages.,21.0,26,True,2021-10-21 17:24:42.000000,0.9.0,14.0,sumy,,,,12360.0,1211.0,1019.0,https://pypi.org/project/sumy,2021-10-21 17:24:42.000000,192.0,12360.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n280,aubio,aubio/aubio,,audio,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44.000000,2021-11-09 17:08:03.654000,2021-01-19 09:51:49.000000,331,127.0,175.0,2595.0,4111.0,a library for audio and music analysis.,24.0,26,False,2019-02-27 09:00:43.000000,0.4.9,10.0,aubio,conda-forge/aubio,,,10849.0,310.0,274.0,https://pypi.org/project/aubio,2019-02-08 11:21:02.000000,36.0,2503.0,https://anaconda.org/conda-forge/aubio,2021-11-09 17:08:03.654000,475745.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n281,implicit,benfred/implicit,,recommender-systems,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000000,2021-12-07 19:05:43.000000,2021-10-02 05:11:29.000000,509,89.0,283.0,2555.0,,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,30.0,26,True,2021-08-29 04:23:02.000000,0.4.8,38.0,implicit,conda-forge/implicit,,,67649.0,561.0,517.0,https://pypi.org/project/implicit,2021-08-29 04:23:02.000000,44.0,60840.0,https://anaconda.org/conda-forge/implicit,2021-08-29 07:42:53.163000,320045.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n282,eli5,TeamHG-Memex/eli5,,interpretability,https://github.com/TeamHG-Memex/eli5,https://github.com/TeamHG-Memex/eli5,MIT,2016-09-15 01:04:57.000000,2021-06-10 22:02:56.000000,2020-01-22 07:39:36.000000,313,153.0,110.0,2473.0,1198.0,A library for debugging/inspecting machine learning classifiers and explaining their predictions.,14.0,26,False,2021-01-23 14:25:24.000000,0.11.0,28.0,eli5,conda-forge/eli5,,,868241.0,110.0,,https://pypi.org/project/eli5,2021-01-23 14:25:24.000000,110.0,866313.0,https://anaconda.org/conda-forge/eli5,2021-01-25 08:24:59.385000,106046.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n283,Core ML Tools,apple/coremltools,,model-serialisation,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000000,2021-12-05 03:35:07.000000,2021-11-10 15:56:44.000000,389,318.0,515.0,2473.0,,\"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.\",117.0,26,True,2021-11-09 18:32:21.000000,5.1.0,35.0,coremltools,,,3820.0,44311.0,962.0,696.0,https://pypi.org/project/coremltools,2021-11-09 18:32:21.000000,266.0,44237.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n284,StellarGraph,stellargraph/stellargraph,,graph,https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51.000000,2021-12-07 09:11:08.000000,2021-10-29 06:15:49.000000,322,249.0,729.0,2228.0,2515.0,StellarGraph - Machine Learning on Graphs.,36.0,26,True,2020-06-30 05:15:21.000000,1.2.1,25.0,stellargraph,,['tensorflow'],,14231.0,103.0,99.0,https://pypi.org/project/stellargraph,2020-06-30 05:10:43.000000,4.0,14231.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n285,ipyparallel,ipython/ipyparallel,,distributed-ml,https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,BSD-3-Clause,2015-04-09 07:43:55.000000,2021-12-08 16:35:01.000000,2021-12-08 07:51:51.000000,811,63.0,263.0,2120.0,,IPython Parallel: Interactive Parallel Computing in Python.,104.0,26,True,2021-09-30 12:56:24.000000,7.1.0,34.0,ipyparallel,conda-forge/ipyparallel,['jupyter'],,38697.0,2239.0,1749.0,https://pypi.org/project/ipyparallel,2021-11-12 13:31:42.000000,490.0,30774.0,https://anaconda.org/conda-forge/ipyparallel,2021-12-02 07:17:02.707000,538769.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n286,Hyperas,maxpumperla/hyperas,,hyperopt,https://github.com/maxpumperla/hyperas,https://github.com/maxpumperla/hyperas,MIT,2016-02-19 14:45:10.000000,2021-11-19 13:23:59.000000,2021-11-19 13:23:56.000000,305,88.0,158.0,2108.0,211.0,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,21.0,26,True,2019-02-28 09:16:54.000000,0.4.1,9.0,hyperas,,['tensorflow'],,8498.0,264.0,222.0,https://pypi.org/project/hyperas,2019-02-28 09:16:54.000000,42.0,8498.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n287,Foolbox,bethgelab/foolbox,,adversarial,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48.000000,2021-11-10 19:47:32.000000,2021-06-05 09:38:18.000000,371,61.0,269.0,2097.0,1648.0,\"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.\",32.0,26,True,2021-02-23 07:09:34.000000,3.3.1,68.0,foolbox,,,,1916.0,273.0,255.0,https://pypi.org/project/foolbox,2021-02-23 07:07:53.000000,18.0,1916.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n288,langid,saffsd/langid.py,,nlp,https://github.com/saffsd/langid.py,https://github.com/saffsd/langid.py,BSD-3-Clause,2011-04-29 00:16:56.000000,2020-01-01 10:49:30.000000,2017-07-15 02:49:17.000000,276,26.0,45.0,1890.0,242.0,Stand-alone language identification system.,9.0,26,False,2016-04-05 22:34:15.000000,1.1.6,8.0,langid,,,,177800.0,1113.0,863.0,https://pypi.org/project/langid,2016-04-05 22:34:15.000000,250.0,177800.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n289,hnswlib,nmslib/hnswlib,,nn-search,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000000,2021-11-30 21:24:15.000000,2021-06-30 05:17:40.000000,333,116.0,118.0,1793.0,315.0,Header-only C++/python library for fast approximate nearest neighbors.,46.0,26,True,2021-06-30 22:24:23.000000,0.5.2,6.0,hnswlib,,,,103737.0,176.0,174.0,https://pypi.org/project/hnswlib,2021-06-30 22:24:23.000000,2.0,103737.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n290,TextAttack,QData/TextAttack,,adversarial,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000000,2021-12-09 10:40:05.000000,2021-12-03 20:53:21.000000,214,39.0,150.0,1761.0,2391.0,\"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP..\",46.0,26,True,2021-11-10 01:36:28.000000,0.3.4,42.0,textattack,,,,1601.0,46.0,46.0,https://pypi.org/project/textattack,2021-11-10 01:36:28.000000,0.0,1601.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n291,mtcnn,ipazc/mtcnn,,image,https://github.com/ipazc/mtcnn,https://github.com/ipazc/mtcnn,MIT,2018-01-05 04:08:32.000000,2021-11-22 17:31:06.000000,2021-07-09 11:06:18.000000,430,62.0,37.0,1684.0,56.0,\"MTCNN face detection implementation for TensorFlow, as a PIP package.\",15.0,26,True,2021-07-09 11:16:39.000000,0.1.1,11.0,mtcnn,,['tensorflow'],,15662.0,1759.0,1717.0,https://pypi.org/project/mtcnn,2021-07-09 11:16:39.000000,42.0,15662.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n292,Ax,facebook/Ax,,hyperopt,https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000000,2021-12-08 07:40:15.000000,2021-12-08 07:40:12.000000,175,33.0,294.0,1659.0,,Adaptive Experimentation Platform.,108.0,26,True,2021-09-15 03:59:33.000000,0.2.2,24.0,ax-platform,,['pytorch'],,64152.0,227.0,223.0,https://pypi.org/project/ax-platform,2021-09-15 03:59:33.000000,4.0,64152.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n293,TFX,tensorflow/tfx,,data-pipelines,https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000000,2021-12-09 01:55:42.000000,2021-12-08 09:02:15.000000,519,249.0,477.0,1651.0,3988.0,TFX is an end-to-end platform for deploying production ML pipelines.,125.0,26,True,2021-12-07 02:05:29.000000,1.3.4,67.0,tfx,,['tensorflow'],,396824.0,4.0,,https://pypi.org/project/tfx,2021-12-07 03:29:04.000000,4.0,396824.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n294,tesserocr,sirfz/tesserocr,,ocr,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36.000000,2021-11-09 18:12:48.000000,2021-11-09 18:12:47.000000,202,73.0,158.0,1562.0,178.0,A Python wrapper for the tesseract-ocr API.,26.0,26,True,2021-06-19 21:10:18.000000,2.5.2,16.0,tesserocr,conda-forge/tesserocr,,,41138.0,677.0,577.0,https://pypi.org/project/tesserocr,2021-06-19 21:10:18.000000,100.0,38758.0,https://anaconda.org/conda-forge/tesserocr,2021-01-13 16:38:14.456000,61896.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n295,Elephas,maxpumperla/elephas,,distributed-ml,https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19.000000,2021-11-18 11:51:00.000000,2021-08-17 01:01:38.000000,290,25.0,136.0,1520.0,501.0,Distributed Deep learning with Keras & Spark.,27.0,26,True,2021-08-17 01:14:44.000000,3.0.0,22.0,elephas,,\"['keras', 'spark']\",,13338.0,53.0,50.0,https://pypi.org/project/elephas,2021-08-17 00:36:20.000000,3.0,13338.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n296,shapash,MAIF/shapash,,interpretability,https://github.com/MAIF/shapash,https://github.com/MAIF/shapash,Apache-2.0,2020-04-29 07:34:23.000000,2021-12-08 17:02:39.000000,2021-12-08 17:02:39.000000,196,10.0,85.0,1472.0,954.0,Shapash makes Machine Learning models transparent and understandable by everyone.,31.0,26,True,2021-12-06 14:50:36.000000,1.6.0,16.0,shapash,,['jupyter'],,8454.0,54.0,54.0,https://pypi.org/project/shapash,2021-12-06 14:50:36.000000,,8454.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n297,ArcGIS API,Esri/arcgis-python-api,,geospatial-data,https://github.com/Esri/arcgis-python-api,https://github.com/Esri/arcgis-python-api,Apache-2.0,2016-03-16 01:09:14.000000,2021-12-09 07:41:07.000000,2021-12-09 07:41:07.000000,819,112.0,290.0,1180.0,3318.0,Documentation and samples for ArcGIS API for Python.,73.0,26,True,2021-10-04 20:36:31.000000,1.9.1,31.0,arcgis,,,950.0,28777.0,20.0,,https://pypi.org/project/arcgis,2021-10-04 17:20:11.000000,20.0,28685.0,,,,3.0,,,esridocker/arcgis-api-python-notebook,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,2021-10-05 23:20:06.966942,33.0,5362.0,,,,,,,,,,,,,,,,,,,\n298,spacy-transformers,explosion/spacy-transformers,,nlp,https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000000,2021-12-07 09:10:08.000000,2021-12-07 08:51:15.000000,134,,,1061.0,1384.0,\"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.\",18.0,26,True,2021-12-07 09:10:50.000000,1.1.3,57.0,spacy-transformers,,['spacy'],,77978.0,341.0,335.0,https://pypi.org/project/spacy-transformers,2021-12-07 09:10:08.000000,6.0,77978.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n299,ktrain,amaiya/ktrain,,ml-frameworks,https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39.000000,2021-11-23 15:55:56.000000,2021-11-23 15:55:56.000000,224,6.0,373.0,923.0,2545.0,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,12.0,26,True,2021-11-05 20:42:40.000000,0.28.3,161.0,ktrain,,['tensorflow'],,15391.0,246.0,244.0,https://pypi.org/project/ktrain,2021-11-05 20:30:43.000000,2.0,15391.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n300,pingouin,raphaelvallat/pingouin,,probabilistics,https://github.com/raphaelvallat/pingouin,https://github.com/raphaelvallat/pingouin,GPL-3.0,2018-04-01 01:10:22.000000,2021-12-08 18:19:29.000000,2021-12-08 18:19:29.000000,77,21.0,154.0,857.0,1160.0,Statistical package in Python based on Pandas.,23.0,26,False,2021-10-28 22:09:53.000000,0.5.0,35.0,pingouin,conda-forge/pingouin,,,133957.0,410.0,400.0,https://pypi.org/project/pingouin,2021-10-28 21:59:14.000000,10.0,132611.0,https://anaconda.org/conda-forge/pingouin,2021-10-29 00:37:42.640000,48490.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n301,Nilearn,nilearn/nilearn,,medical-data,https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000000,2021-12-09 12:57:51.000000,2021-12-08 08:21:28.000000,438,270.0,1276.0,790.0,,Machine learning for NeuroImaging in Python.,176.0,26,True,2021-09-16 14:49:56.000000,0.8.1,38.0,nilearn,conda-forge/nilearn,['sklearn'],14.0,12651.0,1617.0,1315.0,https://pypi.org/project/nilearn,2021-09-16 14:47:18.000000,302.0,10678.0,https://anaconda.org/conda-forge/nilearn,2021-09-16 18:04:31.312000,132099.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n302,Hail,hail-is/hail,,medical-data,https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000000,2021-12-09 14:49:35.000000,2021-12-09 14:49:34.000000,200,55.0,1967.0,765.0,7617.0,Scalable genomic data analysis.,76.0,26,True,2021-11-19 18:16:55.000000,0.2.79,99.0,hail,,['spark'],,12083.0,45.0,45.0,https://pypi.org/project/hail,2021-11-19 18:16:55.000000,0.0,12083.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n303,mahotas,luispedro/mahotas,,image,https://github.com/luispedro/mahotas,https://github.com/luispedro/mahotas,MIT,2010-01-31 00:13:06.000000,2021-12-07 00:42:53.000000,2021-12-07 00:42:43.000000,137,16.0,61.0,722.0,1286.0,Computer Vision in Python.,32.0,26,True,2020-08-16 17:22:48.000000,1.4.11,58.0,mahotas,conda-forge/mahotas,,,10573.0,906.0,716.0,https://pypi.org/project/mahotas,2021-10-14 12:53:24.000000,190.0,6109.0,https://anaconda.org/conda-forge/mahotas,2021-11-17 20:03:30.117000,308036.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n304,CLTK,cltk/cltk,,nlp,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000000,2021-12-06 21:15:50.000000,2021-10-21 22:56:32.000000,301,121.0,488.0,695.0,3592.0,The Classical Language Toolkit.,113.0,26,True,2021-10-17 05:32:29.000000,1.0.21,191.0,cltk,,,22.0,1181.0,252.0,184.0,https://pypi.org/project/cltk,2021-10-17 05:32:29.000000,68.0,1181.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n305,SMAC3,automl/SMAC3,,hyperopt,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-3-Clause,2016-08-17 10:58:05.000000,2021-12-09 14:37:55.000000,2021-11-05 09:44:04.000000,170,67.0,283.0,636.0,2048.0,Sequential Model-based Algorithm Configuration.,38.0,26,True,2021-10-21 07:38:01.000000,1.1.0,34.0,smac,,,,14952.0,58.0,,https://pypi.org/project/smac,2021-11-05 10:44:49.000000,58.0,14952.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n306,hvPlot,holoviz/hvplot,,data-viz,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000000,2021-11-30 14:15:06.000000,2021-11-30 14:15:06.000000,62,137.0,262.0,484.0,426.0,\"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.\",33.0,26,True,2021-07-26 16:25:50.000000,0.7.3,36.0,hvplot,conda-forge/hvplot,,,40592.0,967.0,937.0,https://pypi.org/project/hvplot,2021-07-23 11:33:46.000000,30.0,37146.0,https://anaconda.org/conda-forge/hvplot,2021-07-23 14:04:28.244000,137875.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n307,mpi4py,mpi4py/mpi4py,,distributed-ml,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-2-Clause,2013-09-05 14:44:25.000000,2021-11-25 23:30:14.783000,2021-11-25 21:50:26.000000,74,13.0,41.0,481.0,2441.0,Python bindings for MPI.,20.0,26,True,2021-11-25 21:07:13.000000,3.1.3,17.0,mpi4py,conda-forge/mpi4py,,2667.0,138456.0,752.0,,https://pypi.org/project/mpi4py,2021-11-25 21:07:13.000000,752.0,124703.0,https://anaconda.org/conda-forge/mpi4py,2021-11-25 23:30:14.783000,856667.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n308,CNTK,microsoft/CNTK,,ml-frameworks,https://github.com/microsoft/CNTK,https://github.com/microsoft/CNTK,MIT,2015-11-26 09:52:06.000000,2021-08-27 04:46:43.000000,2020-03-31 15:55:14.000000,4402,836.0,2524.0,17116.0,16116.0,\"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.\",271.0,25,False,2019-04-26 14:13:32.000000,2.7,32.0,cntk,,,13894.0,948.0,34.0,,https://pypi.org/project/cntk,2020-12-09 22:21:57.000000,34.0,753.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n309,pysc2,deepmind/pysc2,,others,https://github.com/deepmind/pysc2,https://github.com/deepmind/pysc2,Apache-2.0,2017-07-25 18:16:57.000000,2021-08-13 05:11:09.000000,2019-09-27 15:23:22.000000,1112,60.0,204.0,7388.0,513.0,StarCraft II Learning Environment.,34.0,25,False,2019-09-27 15:48:01.000000,3.0.0,7.0,pysc2,,,27738.0,1522.0,358.0,318.0,https://pypi.org/project/pysc2,2019-09-27 15:48:01.000000,40.0,989.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n310,PaddleHub,PaddlePaddle/PaddleHub,,others,https://github.com/PaddlePaddle/PaddleHub,https://github.com/PaddlePaddle/PaddleHub,Apache-2.0,2018-12-21 06:00:48.000000,2021-12-09 09:51:31.000000,2021-11-17 13:01:33.000000,1439,349.0,619.0,7260.0,,\"Awesome pre-trained models toolkit based on PaddlePaddle.(300+ models including Image, Text, Audio and Video with Easy..\",48.0,25,True,2021-09-27 12:05:48.000000,2.1.1,46.0,paddlehub,,['paddle'],560.0,5421.0,593.0,593.0,https://pypi.org/project/paddlehub,2021-09-27 12:05:48.000000,0.0,5405.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n311,Vaex,vaexio/vaex,,data-containers,https://github.com/vaexio/vaex,https://github.com/vaexio/vaex,MIT,2014-09-27 09:44:42.000000,2021-12-07 16:33:40.000000,2021-12-07 08:00:23.000000,530,353.0,607.0,6777.0,3327.0,\"Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualize and explore big tabular data at a billion..\",61.0,25,True,2021-11-26 13:53:29.000000,4.6.0,56.0,vaex,conda-forge/vaex,,220.0,15349.0,4.0,,https://pypi.org/project/vaex,2021-11-26 13:53:29.000000,4.0,13416.0,https://anaconda.org/conda-forge/vaex,2021-11-30 10:56:24.298000,119748.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n312,Trax,google/trax,,others,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000000,2021-12-09 04:26:32.000000,2021-12-03 21:48:53.000000,662,83.0,119.0,6658.0,1590.0,Trax Deep Learning with Clear Code and Speed.,74.0,25,True,2021-10-26 20:29:38.000000,1.4.1,24.0,trax,,,,2176.0,39.0,39.0,https://pypi.org/project/trax,2021-10-26 20:27:35.000000,,2176.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n313,stanza,stanfordnlp/stanza,,nlp,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56.000000,2021-12-08 23:18:11.000000,2021-11-18 23:03:56.000000,739,66.0,538.0,5860.0,,Official Stanford NLP Python Library for Many Human Languages.,41.0,25,True,2021-10-06 06:28:19.000000,1.3.0,14.0,stanza,stanfordnlp/stanza,,,36859.0,774.0,770.0,https://pypi.org/project/stanza,2021-10-05 06:37:56.000000,4.0,36647.0,https://anaconda.org/stanfordnlp/stanza,2021-10-05 07:17:34.873000,4469.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n314,Great Expectations,great-expectations/great_expectations,,data-pipelines,https://github.com/great-expectations/great_expectations,https://github.com/great-expectations/great_expectations,Apache-2.0,2017-09-11 00:18:46.000000,2021-12-09 14:47:47.000000,2021-12-09 03:11:12.000000,774,175.0,973.0,5756.0,,Always know what to expect from your data.,251.0,25,True,2021-12-02 22:35:50.000000,0.13.45,135.0,great_expectations,,,,1343983.0,6.0,,https://pypi.org/project/great_expectations,2021-12-02 22:23:30.000000,6.0,1343983.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n315,Face Alignment,1adrianb/face-alignment,,image,https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44.000000,2021-11-16 17:00:34.000000,2021-08-04 06:54:21.000000,1120,51.0,215.0,5387.0,205.0,2D and 3D Face alignment library build using pytorch.,23.0,25,True,2021-09-14 15:35:24.000000,1.3.5,11.0,face-alignment,,['pytorch'],,4056.0,12.0,,https://pypi.org/project/face-alignment,2021-09-14 15:35:24.000000,12.0,4056.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n316,scikit-surprise,NicolasHug/Surprise,,recommender-systems,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38.000000,2021-11-18 20:15:44.176000,2020-08-05 17:45:59.000000,887,51.0,292.0,5130.0,622.0,A Python scikit for building and analyzing recommender systems.,38.0,25,False,2020-07-19 14:50:48.000000,1.1.1,9.0,scikit-surprise,conda-forge/scikit-surprise,,,42376.0,48.0,,https://pypi.org/project/scikit-surprise,2020-07-19 14:50:48.000000,48.0,38048.0,https://anaconda.org/conda-forge/scikit-surprise,2021-11-18 20:15:44.176000,203457.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n317,Edward,blei-lab/edward,,probabilistics,https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05.000000,2019-10-22 20:30:48.000000,2018-07-25 01:28:08.000000,767,212.0,328.0,4673.0,1796.0,\"A probabilistic programming language in TensorFlow. Deep generative models, variational inference.\",87.0,25,False,2018-01-22 06:03:37.000000,1.3.5,28.0,edward,,['tensorflow'],15.0,1492.0,326.0,248.0,https://pypi.org/project/edward,2018-01-22 06:03:05.000000,78.0,1492.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n318,VisualDL,PaddlePaddle/VisualDL,,ml-experiments,https://github.com/PaddlePaddle/VisualDL,https://github.com/PaddlePaddle/VisualDL,Apache-2.0,2017-12-20 12:34:31.000000,2021-12-09 05:37:02.000000,2021-11-26 06:55:16.000000,577,56.0,331.0,4252.0,,Deep Learning Visualization Toolkit.,31.0,25,True,2021-09-07 02:12:38.000000,2.2.1,34.0,visualdl,,['paddle'],156.0,27135.0,838.0,828.0,https://pypi.org/project/visualdl,2021-11-09 12:29:34.000000,10.0,27127.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n319,mlpack,mlpack/mlpack,,ml-frameworks,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59.000000,2021-12-06 08:37:03.000000,2021-11-20 16:36:02.000000,1377,103.0,1330.0,3853.0,27248.0,mlpack: a scalable C++ machine learning library --.,280.0,25,True,2020-10-28 18:28:47.000000,3.4.2,40.0,mlpack,conda-forge/mlpack,,,2431.0,0.0,,https://pypi.org/project/mlpack,2020-10-28 18:28:47.000000,0.0,103.0,https://anaconda.org/conda-forge/mlpack,2021-11-09 18:05:21.719000,95470.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n320,BigDL,intel-analytics/BigDL,,distributed-ml,https://github.com/intel-analytics/BigDL,https://github.com/intel-analytics/BigDL,Apache-2.0,2016-08-29 07:59:50.000000,2021-12-09 12:54:16.000000,2021-12-09 10:51:08.000000,953,328.0,773.0,3807.0,2679.0,Building Large-Scale AI Applications for Distributed Big Data.,128.0,25,True,2021-07-09 12:20:26.000000,0.13.0,66.0,bigdl,,,,8053.0,30.0,30.0,https://pypi.org/project/bigdl,2021-12-09 12:54:16.000000,0.0,8053.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,com.intel.analytics.bigdl:bigdl-SPARK_2.4,https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4,2021-04-20 01:33:14.000000,0.0,\n321,polars,pola-rs/polars,,data-containers,https://github.com/pola-rs/polars,https://github.com/pola-rs/polars,MIT,2020-05-13 19:45:33.000000,2021-12-09 11:16:55.000000,2021-12-09 11:10:37.000000,196,78.0,693.0,3335.0,2683.0,Fast multi-threaded DataFrame library in Rust and Python.,59.0,25,True,2021-12-06 10:24:00.000000,0.10.27,114.0,polars,,,,10216.0,5.0,5.0,https://pypi.org/project/polars,2021-12-06 10:24:00.000000,0.0,10216.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n322,vaderSentiment,cjhutto/vaderSentiment,,nlp,https://github.com/cjhutto/vaderSentiment,https://github.com/cjhutto/vaderSentiment,MIT,2014-11-17 16:31:45.000000,2021-06-15 23:12:57.000000,2021-03-15 18:43:06.000000,818,33.0,74.0,3292.0,127.0,VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based..,10.0,25,True,2020-05-22 15:07:00.000000,3.3.2,15.0,vadersentiment,,,,127154.0,3530.0,3244.0,https://pypi.org/project/vadersentiment,2020-05-22 15:07:00.000000,286.0,127154.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n323,TensorForce,tensorforce/tensorforce,,reinforcement-learning,https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22.000000,2021-11-10 20:00:27.000000,2021-11-10 20:00:19.000000,512,7.0,616.0,3058.0,2090.0,Tensorforce: a TensorFlow library for applied reinforcement learning.,81.0,25,True,2021-08-30 20:20:58.000000,0.6.5,14.0,tensorforce,,['tensorflow'],,624.0,46.0,,https://pypi.org/project/tensorforce,2019-09-07 13:56:18.000000,46.0,624.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n324,haystack,deepset-ai/haystack,,nlp,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000000,2021-12-08 21:01:06.000000,2021-12-08 17:19:03.000000,557,151.0,880.0,2923.0,950.0,Haystack is an open source NLP framework that leverages Transformer models. It enables developers to implement..,83.0,25,True,2021-12-08 08:05:22.000000,1.0.0,34.0,haystack,,,,871.0,259.0,93.0,https://pypi.org/project/haystack,2017-07-03 04:44:52.000000,166.0,871.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n325,D-Tale,man-group/dtale,,data-viz,https://github.com/man-group/dtale,https://github.com/man-group/dtale,LGPL-2.1,2019-07-15 09:34:48.000000,2021-12-09 08:30:37.000000,2021-12-02 14:11:42.000000,219,36.0,399.0,2838.0,539.0,Visualizer for pandas data structures.,18.0,25,True,2021-11-18 04:17:35.000000,1.61.1,141.0,dtale,conda-forge/dtale,\"['pandas', 'jupyter']\",,26479.0,274.0,274.0,https://pypi.org/project/dtale,2021-11-18 04:17:35.000000,0.0,21985.0,https://anaconda.org/conda-forge/dtale,2021-11-18 04:41:08.411000,98888.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n326,Neural Network Libraries,sony/nnabla,,ml-frameworks,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10.000000,2021-12-08 10:38:45.000000,2021-12-08 10:38:42.000000,309,32.0,44.0,2511.0,2923.0,Neural Network Libraries.,63.0,25,True,2021-11-25 10:43:29.000000,1.23.0,60.0,nnabla,,,533.0,1406.0,34.0,,https://pypi.org/project/nnabla,2021-11-25 08:13:14.000000,34.0,1396.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n327,causalml,uber/causalml,,others,https://github.com/uber/causalml,https://github.com/uber/causalml,Apache-2.0,2019-07-09 02:08:58.000000,2021-12-09 01:05:49.000000,2021-12-09 01:05:49.000000,376,48.0,192.0,2475.0,379.0,Uplift modeling and causal inference with machine learning algorithms.,31.0,25,True,2021-08-02 20:49:15.000000,0.11.1,15.0,causalml,,,,20119.0,33.0,33.0,https://pypi.org/project/causalml,2021-08-02 20:49:15.000000,0.0,20119.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n328,neuralcoref,huggingface/neuralcoref,,nlp,https://github.com/huggingface/neuralcoref,https://github.com/huggingface/neuralcoref,MIT,2017-07-03 13:04:16.000000,2021-10-10 04:28:21.000000,2021-06-22 10:51:48.000000,424,60.0,228.0,2447.0,116.0,Fast Coreference Resolution in spaCy with Neural Networks.,21.0,25,True,2019-04-08 11:28:27.000000,4.0.0,5.0,neuralcoref,conda-forge/neuralcoref,,294.0,18547.0,444.0,426.0,https://pypi.org/project/neuralcoref,2019-04-08 09:56:00.000000,18.0,18074.0,https://anaconda.org/conda-forge/neuralcoref,2020-02-21 22:10:40.453000,10303.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n329,Acme,deepmind/acme,,reinforcement-learning,https://github.com/deepmind/acme,https://github.com/deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000000,2021-12-09 12:31:13.000000,2021-12-09 12:22:57.000000,289,40.0,104.0,2423.0,657.0,A library of reinforcement learning components and agents.,53.0,25,True,2021-12-09 12:30:43.000000,0.2.4,13.0,dm-acme,,['tensorflow'],,1542.0,47.0,47.0,https://pypi.org/project/dm-acme,2021-12-09 12:31:13.000000,0.0,1542.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n330,scikit-plot,reiinakano/scikit-plot,,interpretability,https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59.000000,2021-08-11 23:58:11.000000,2018-08-19 12:37:47.000000,256,21.0,39.0,2157.0,130.0,An intuitive library to add plotting functionality to scikit-learn objects.,13.0,25,False,2018-08-19 12:21:01.000000,0.3.7,27.0,scikit-plot,conda-forge/scikit-plot,['sklearn'],,229006.0,1574.0,1520.0,https://pypi.org/project/scikit-plot,2018-08-19 12:18:46.000000,54.0,227067.0,https://anaconda.org/conda-forge/scikit-plot,2019-06-05 14:23:59.043000,102775.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n331,BoTorch,pytorch/botorch,,hyperopt,https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000000,2021-12-09 10:53:22.000000,2021-12-09 00:50:06.000000,233,54.0,178.0,2141.0,,Bayesian optimization in PyTorch.,62.0,25,True,2021-12-09 01:25:08.000000,0.6.0,19.0,botorch,,['pytorch'],,76593.0,189.0,189.0,https://pypi.org/project/botorch,2021-12-09 01:25:08.000000,0.0,76593.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n332,Alphalens,quantopian/alphalens,,financial-data,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15.000000,2021-12-05 06:35:06.000000,2020-04-27 18:40:41.000000,794,38.0,145.0,2114.0,522.0,Performance analysis of predictive (alpha) stock factors.,25.0,25,False,2020-04-30 15:42:52.000000,0.4.0,10.0,alphalens,conda-forge/alphalens,,,1412.0,494.0,466.0,https://pypi.org/project/alphalens,2020-04-27 21:03:10.000000,28.0,1110.0,https://anaconda.org/conda-forge/alphalens,2020-05-16 13:52:44.922000,13903.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n333,python_speech_features,jameslyons/python_speech_features,,audio,https://github.com/jameslyons/python_speech_features,https://github.com/jameslyons/python_speech_features,MIT,2013-10-31 02:42:08.000000,2021-10-20 10:08:48.000000,2020-12-31 13:27:01.000000,571,23.0,51.0,2009.0,120.0,This library provides common speech features for ASR including MFCCs and filterbank energies.,19.0,25,True,2020-01-14 14:12:10.000000,0.6.1,6.0,python_speech_features,,,,66960.0,300.0,,https://pypi.org/project/python_speech_features,2017-08-16 01:46:13.000000,300.0,66960.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n334,pgmpy,pgmpy/pgmpy,,probabilistics,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000000,2021-12-04 18:46:10.000000,2021-12-04 18:46:09.000000,606,212.0,549.0,1939.0,6.0,Python Library for learning (Structure and Parameter) and inference (Probabilistic and Causal) in Bayesian Networks.,101.0,25,True,2021-09-30 16:00:43.000000,0.1.16,15.0,pgmpy,,,115.0,38797.0,305.0,293.0,https://pypi.org/project/pgmpy,2021-09-30 15:45:27.000000,12.0,38791.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n335,PyFunctional,EntilZha/PyFunctional,,data-pipelines,https://github.com/EntilZha/PyFunctional,https://github.com/EntilZha/PyFunctional,MIT,2015-02-05 17:17:51.000000,2021-11-26 14:50:52.000000,2021-11-05 18:58:53.000000,104,5.0,119.0,1938.0,520.0,Python library for creating data pipelines with chain functional programming.,25.0,25,True,2021-01-12 19:21:07.000000,1.4.3,14.0,pyfunctional,,,,40070.0,367.0,367.0,https://pypi.org/project/pyfunctional,2021-01-12 19:14:48.000000,0.0,40070.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n336,pandas-ta,twopirllc/pandas-ta,,probabilistics,https://github.com/twopirllc/pandas-ta,https://github.com/twopirllc/pandas-ta,MIT,2019-02-19 16:41:09.000000,2021-12-08 20:59:18.000000,2021-11-16 21:57:10.000000,437,57.0,267.0,1924.0,,Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators.,44.0,25,True,2021-07-28 20:21:21.000000,0.3.14,19.0,pandas-ta,,['pandas'],,43803.0,337.0,337.0,https://pypi.org/project/pandas-ta,2021-07-28 20:51:17.000000,0.0,43803.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n337,tslearn,tslearn-team/tslearn,,time-series-data,https://github.com/tslearn-team/tslearn,https://github.com/tslearn-team/tslearn,BSD-2-Clause,2017-05-04 13:08:13.000000,2021-12-06 15:56:44.000000,2021-12-06 15:56:44.000000,246,68.0,178.0,1898.0,,A machine learning toolkit dedicated to time-series data.,36.0,25,True,2021-08-16 07:09:52.000000,0.5.2,94.0,tslearn,conda-forge/tslearn,['sklearn'],,58061.0,380.0,358.0,https://pypi.org/project/tslearn,2021-08-16 07:29:50.000000,22.0,52649.0,https://anaconda.org/conda-forge/tslearn,2021-08-16 11:07:26.939000,243563.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n338,Pandaral·lel,nalepae/pandarallel,,data-containers,https://github.com/nalepae/pandarallel,https://github.com/nalepae/pandarallel,BSD-3-Clause,2019-03-10 11:58:29.000000,2021-10-17 19:32:08.000000,2021-10-17 19:29:29.000000,122,76.0,64.0,1873.0,128.0,A simple and efficient tool to parallelize Pandas operations on all availableCPUs.,18.0,25,True,2021-10-17 19:32:08.000000,1.5.4,31.0,pandarallel,,\"['pandas', 'jupyter']\",,113467.0,357.0,357.0,https://pypi.org/project/pandarallel,2021-10-17 19:32:08.000000,0.0,113467.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n339,swifter,jmcarpenter2/swifter,,data-containers,https://github.com/jmcarpenter2/swifter,https://github.com/jmcarpenter2/swifter,MIT,2018-04-07 21:37:19.000000,2021-10-27 19:07:25.000000,2021-06-25 21:30:09.000000,84,21.0,83.0,1834.0,427.0,A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner.,14.0,25,True,2021-06-25 21:31:10.000000,1.0.9,73.0,swifter,conda-forge/swifter,['pandas'],,74461.0,463.0,431.0,https://pypi.org/project/swifter,2021-06-25 21:31:10.000000,32.0,70576.0,https://anaconda.org/conda-forge/swifter,2021-06-26 01:03:15.021000,124349.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n340,scattertext,JasonKessler/scattertext,,nlp,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12.000000,2021-11-15 13:11:26.058000,2021-11-15 03:48:32.000000,233,17.0,65.0,1711.0,356.0,Beautiful visualizations of how language differs among document types.,12.0,25,True,2021-11-15 04:01:17.000000,0.1.5,134.0,scattertext,conda-forge/scattertext,,,3067.0,267.0,251.0,https://pypi.org/project/scattertext,2021-11-15 04:01:17.000000,16.0,1935.0,https://anaconda.org/conda-forge/scattertext,2021-11-15 13:11:26.058000,58872.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n341,mljar-supervised,mljar/mljar-supervised,,hyperopt,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000000,2021-12-06 08:40:00.000000,2021-12-06 08:40:00.000000,234,74.0,373.0,1697.0,983.0,\"Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and..\",14.0,25,True,2021-10-01 07:25:05.000000,0.11.1,75.0,mljar-supervised,,,,69612.0,26.0,26.0,https://pypi.org/project/mljar-supervised,2021-10-01 07:25:05.000000,,69612.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n342,chainercv,chainer/chainercv,,image,https://github.com/chainer/chainercv,https://github.com/chainer/chainercv,MIT,2017-02-13 04:15:10.000000,2021-07-01 16:54:50.000000,2020-01-07 11:48:31.000000,318,54.0,168.0,1463.0,4930.0,ChainerCV: a Library for Deep Learning in Computer Vision.,39.0,25,False,2019-06-12 11:55:02.000000,0.13.1,24.0,chainercv,,,,2160.0,332.0,272.0,https://pypi.org/project/chainercv,2019-06-12 11:55:40.000000,60.0,2160.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n343,ViZDoom,mwydmuch/ViZDoom,,reinforcement-learning,https://github.com/mwydmuch/ViZDoom,https://github.com/mwydmuch/ViZDoom,MIT,2015-06-26 18:38:23.000000,2021-11-28 12:26:39.000000,2021-11-28 12:26:39.000000,309,89.0,343.0,1292.0,1521.0,Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information.,45.0,25,True,2021-11-22 11:15:55.000000,1.1.11,22.0,vizdoom,,,11404.0,1052.0,142.0,118.0,https://pypi.org/project/vizdoom,2021-11-22 11:16:41.000000,24.0,887.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n344,PyCUDA,inducer/pycuda,,gpu-utilities,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000000,2021-12-07 05:24:20.000000,2021-12-07 05:24:19.000000,245,65.0,150.0,1243.0,,\"CUDA integration for Python, plus shiny features.\",74.0,25,True,2019-08-12 04:15:37.000000,2019.1.2,47.0,pycuda,,,,17135.0,1380.0,1088.0,https://pypi.org/project/pycuda,2021-04-03 22:28:54.000000,292.0,17135.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n345,metric-learn,scikit-learn-contrib/metric-learn,,others,https://github.com/scikit-learn-contrib/metric-learn,https://github.com/scikit-learn-contrib/metric-learn,MIT,2013-11-02 08:29:47.000000,2021-12-08 20:56:26.000000,2021-11-17 13:54:36.000000,216,52.0,117.0,1196.0,280.0,Metric learning algorithms in Python.,21.0,25,True,2020-07-02 12:59:23.000000,0.6.2,10.0,metric-learn,,['sklearn'],,4130.0,199.0,181.0,https://pypi.org/project/metric-learn,2020-07-02 12:59:23.000000,18.0,4130.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n346,TabPy,tableau/TabPy,,others,https://github.com/tableau/TabPy,https://github.com/tableau/TabPy,MIT,2016-09-27 21:26:03.000000,2021-11-24 19:05:40.000000,2021-10-11 22:49:25.000000,432,16.0,267.0,1165.0,842.0,Execute Python code on the fly and display results in Tableau visualizations:.,43.0,25,True,2021-08-20 14:18:35.000000,2.4.0,25.0,tabpy,,,,6742.0,78.0,78.0,https://pypi.org/project/tabpy,2021-08-20 14:18:35.000000,0.0,6742.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n347,ogb,snap-stanford/ogb,,graph,https://github.com/snap-stanford/ogb,https://github.com/snap-stanford/ogb,MIT,2019-11-22 22:13:57.000000,2021-12-06 08:19:01.000000,2021-12-06 08:19:01.000000,233,2.0,176.0,1163.0,576.0,\"Benchmark datasets, data loaders, and evaluators for graph machine learning.\",18.0,25,True,2021-09-29 04:42:13.000000,1.3.2,15.0,ogb,,,,4710.0,192.0,192.0,https://pypi.org/project/ogb,2021-09-29 04:33:43.000000,0.0,4710.0,,,,2.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,\n348,TF Recommenders,tensorflow/recommenders,,recommender-systems,https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01.000000,2021-12-02 00:29:42.000000,2021-12-02 00:29:37.000000,149,111.0,93.0,1108.0,,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,29.0,25,True,2021-08-23 23:29:59.000000,0.6.0,12.0,tensorflow-recommenders,,['tensorflow'],,121754.0,60.0,60.0,https://pypi.org/project/tensorflow-recommenders,2021-08-23 23:29:59.000000,0.0,121754.0,,,,2.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,\n349,PennyLane,PennyLaneAI/PennyLane,,others,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000000,2021-12-09 14:31:21.000000,2021-12-07 20:39:34.000000,327,148.0,424.0,1100.0,2275.0,PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum..,84.0,25,True,2021-11-25 06:59:29.000000,0.19.1,29.0,pennylane,,,59.0,6107.0,20.0,,https://pypi.org/project/pennylane,2021-11-25 06:59:29.000000,20.0,6106.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n350,fancyimpute,iskandr/fancyimpute,,sklearn-utils,https://github.com/iskandr/fancyimpute,https://github.com/iskandr/fancyimpute,Apache-2.0,2015-11-05 23:39:34.000000,2021-10-21 17:50:40.000000,2021-10-21 17:45:17.000000,160,1.0,111.0,1021.0,202.0,Multivariate imputation and matrix completion algorithms implemented in Python.,12.0,25,True,2021-10-21 17:50:40.000000,0.7.0,29.0,fancyimpute,,['sklearn'],,3794.0,1143.0,1101.0,https://pypi.org/project/fancyimpute,2021-10-21 17:50:40.000000,42.0,3794.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n351,Streamz,python-streamz/streamz,,time-series-data,https://github.com/python-streamz/streamz,https://github.com/python-streamz/streamz,BSD-3-Clause,2017-04-04 21:45:49.000000,2021-12-08 17:44:20.000000,2021-12-08 17:44:20.000000,128,103.0,144.0,1008.0,777.0,Real-time stream processing for python.,44.0,25,True,2021-10-04 14:47:39.000000,0.6.3,16.0,streamz,conda-forge/streamz,,,10057.0,267.0,251.0,https://pypi.org/project/streamz,2021-10-04 14:47:39.000000,16.0,5649.0,https://anaconda.org/conda-forge/streamz,2021-10-04 16:06:59.119000,224837.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n352,PySAL,pysal/pysal,,geospatial-data,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42.000000,2021-10-18 18:27:28.000000,2021-10-18 18:27:28.000000,273,11.0,591.0,946.0,4136.0,PySAL: Python Spatial Analysis Library Meta-Package.,73.0,25,True,2021-08-01 00:02:42.000000,2.5.0,26.0,pysal,conda-forge/pysal,,,15816.0,36.0,,https://pypi.org/project/pysal,2021-08-01 00:14:07.000000,36.0,9198.0,https://anaconda.org/conda-forge/pysal,2021-08-02 16:50:41.186000,430223.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n353,bcolz,Blosc/bcolz,,data-containers,https://github.com/Blosc/bcolz,https://github.com/Blosc/bcolz,BSD-3-Clause,2010-08-18 15:27:02.000000,2021-09-07 20:42:40.000000,2020-09-10 12:12:45.000000,123,126.0,122.0,934.0,1280.0,A columnar data container that can be compressed.,33.0,25,False,2018-04-13 07:44:26.000000,1.2.1,23.0,bcolz,conda-forge/bcolz,,,9733.0,2645.0,1677.0,https://pypi.org/project/bcolz,2018-04-13 07:44:26.000000,968.0,4939.0,https://anaconda.org/conda-forge/bcolz,2019-11-05 21:09:48.045000,278080.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n354,pyclustering,annoviko/pyclustering,,others,https://github.com/annoviko/pyclustering,https://github.com/annoviko/pyclustering,BSD-3-Clause,2014-02-25 18:59:03.000000,2021-11-19 04:07:59.000000,2021-02-12 19:04:59.000000,208,56.0,589.0,901.0,2079.0,\"pyclustring is a Python, C++ data mining library.\",26.0,25,True,2020-11-25 22:33:07.000000,0.10.1.2,46.0,pyclustering,conda-forge/pyclustering,,377.0,23001.0,289.0,253.0,https://pypi.org/project/pyclustering,2020-11-25 22:41:20.000000,36.0,21658.0,https://anaconda.org/conda-forge/pyclustering,2021-09-13 14:29:08.300000,32106.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n355,empyrical,quantopian/empyrical,,financial-data,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52.000000,2020-10-14 13:28:13.625000,2020-10-14 13:22:39.000000,276,27.0,26.0,869.0,167.0,Common financial risk and performance metrics. Used by zipline and pyfolio.,22.0,25,False,2020-10-13 21:29:19.000000,0.5.5,21.0,empyrical,conda-forge/empyrical,,,36128.0,976.0,754.0,https://pypi.org/project/empyrical,2020-10-13 21:29:19.000000,222.0,35818.0,https://anaconda.org/conda-forge/empyrical,2020-10-14 13:28:13.625000,14272.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n356,pyjanitor,pyjanitor-devs/pyjanitor,,others,https://github.com/pyjanitor-devs/pyjanitor,https://github.com/pyjanitor-devs/pyjanitor,MIT,2018-03-04 22:43:33.000000,2021-12-06 18:24:58.000000,2021-11-22 18:59:22.000000,134,92.0,330.0,776.0,1162.0,Clean APIs for data cleaning. Python implementation of R package Janitor.,95.0,25,True,2021-11-21 02:25:32.000000,0.22.0,53.0,pyjanitor,conda-forge/pyjanitor,,,15266.0,132.0,128.0,https://pypi.org/project/pyjanitor,2021-11-21 02:25:27.000000,4.0,12849.0,https://anaconda.org/conda-forge/pyjanitor,2021-11-22 17:28:45.154000,108793.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n357,pythreejs,jupyter-widgets/pythreejs,,data-viz,https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,BSD-3-Clause,2013-12-23 17:02:11.000000,2021-12-06 21:48:19.000000,2021-12-06 21:48:19.000000,162,67.0,144.0,774.0,1667.0,A Jupyter - Three.js bridge.,29.0,25,True,2021-02-26 14:01:21.000000,2.3.0,43.0,pythreejs,conda-forge/pythreejs,['jupyter'],,32736.0,53.0,19.0,https://pypi.org/project/pythreejs,2021-02-26 14:01:21.000000,26.0,21332.0,https://anaconda.org/conda-forge/pythreejs,2021-03-02 13:32:39.505000,354831.0,3.0,1.0,,,,,,,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,2021-02-26 13:59:06.062000,8.0,6109.0,,,,,,,,,,,,,\n358,metrics,PyTorchLightning/metrics,,distributed-ml,https://github.com/PyTorchLightning/metrics,https://github.com/PyTorchLightning/metrics,Apache-2.0,2020-12-22 20:02:42.000000,2021-12-09 13:16:55.000000,2021-12-08 20:37:56.000000,120,38.0,197.0,582.0,565.0,\"Machine learning metrics for distributed, scalable PyTorch applications.\",100.0,25,True,2021-12-06 09:43:08.000000,0.6.1,15.0,metrics,,['pytorch'],302.0,1987.0,1366.0,1354.0,https://pypi.org/project/metrics,2018-04-28 10:58:56.000000,12.0,1954.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n359,SALib,SALib/SALib,,probabilistics,https://github.com/SALib/SALib,https://github.com/SALib/SALib,MIT,2013-05-30 13:38:10.000000,2021-11-25 13:20:11.000000,2021-11-25 13:20:11.000000,166,50.0,219.0,546.0,965.0,\"Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.\",34.0,25,True,2021-09-04 09:49:51.000000,1.4.5,40.0,salib,conda-forge/salib,,,48316.0,44.0,,https://pypi.org/project/salib,2021-09-04 05:27:03.000000,44.0,47108.0,https://anaconda.org/conda-forge/salib,2021-09-04 07:03:28.179000,73702.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n360,python-soundfile,bastibe/python-soundfile,,audio,https://github.com/bastibe/python-soundfile,https://github.com/bastibe/python-soundfile,BSD-3-Clause,2013-08-27 13:36:52.000000,2021-12-08 13:45:41.000000,2021-12-07 08:14:03.000000,58,62.0,99.0,427.0,501.0,\"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.\",23.0,25,True,2019-12-04 10:03:39.000000,0.10.3post1,7.0,soundfile,,,2719.0,447263.0,740.0,,https://pypi.org/project/soundfile,2019-11-27 12:16:19.000000,740.0,447235.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n361,ml-metadata,google/ml-metadata,,ml-experiments,https://github.com/google/ml-metadata,https://github.com/google/ml-metadata,Apache-2.0,2019-01-15 21:02:09.000000,2021-12-03 00:55:20.000000,2021-12-03 00:55:19.000000,81,20.0,56.0,408.0,572.0,For recording and retrieving metadata associated with ML developer and data scientist workflows.,13.0,25,True,2021-11-30 00:03:34.000000,1.5.0,32.0,ml-metadata,,,1708.0,451490.0,168.0,168.0,https://pypi.org/project/ml-metadata,2021-11-30 00:03:34.000000,0.0,451439.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n362,spleeter,deezer/spleeter,,audio,https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000000,2021-12-08 16:06:40.000000,2021-12-08 16:06:40.000000,1912,100.0,500.0,18076.0,474.0,Deezer source separation library including pretrained models.,18.0,24,True,2021-09-03 09:59:00.000000,2.3.0,34.0,spleeter,conda-forge/spleeter,['tensorflow'],1327518.0,57810.0,0.0,,https://pypi.org/project/spleeter,2021-09-03 09:55:50.000000,0.0,4304.0,https://anaconda.org/conda-forge/spleeter,2020-06-30 14:33:43.220000,61203.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n363,Ciphey,Ciphey/Ciphey,,nlp,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39.000000,2021-12-06 03:13:19.000000,2021-11-03 02:20:58.000000,558,51.0,228.0,9077.0,1873.0,\"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.\",46.0,24,True,2021-06-06 17:14:16.000000,5.14.0,50.0,ciphey,,,,9346.0,,,https://pypi.org/project/ciphey,2021-06-06 17:13:48.000000,,8878.0,,,,3.0,,,remnux/ciphey,https://hub.docker.com/r/remnux/ciphey,2021-11-16 13:31:49.535232,5.0,13583.0,,,,,,,,,,,,,,,,,,,\n364,Ludwig,ludwig-ai/ludwig,,ml-frameworks,https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000000,2021-12-09 09:16:13.000000,2021-12-08 05:27:10.000000,947,157.0,478.0,8008.0,2276.0,Data-centric declarative deep learning framework.,106.0,24,True,2021-06-15 04:22:19.000000,0.4,19.0,ludwig,,['tensorflow'],,2064.0,109.0,97.0,https://pypi.org/project/ludwig,2021-06-15 04:19:55.000000,12.0,2064.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n365,NuPIC,numenta/nupic,,ml-frameworks,https://github.com/numenta/nupic,https://github.com/numenta/nupic,AGPL-3.0,2013-04-05 23:14:27.000000,2021-03-25 21:39:47.000000,2019-10-23 20:45:07.000000,1585,456.0,1337.0,6289.0,6625.0,\"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..\",121.0,24,False,2018-06-01 15:37:54.000000,1.0.5,53.0,nupic,,,,1660.0,144.0,106.0,https://pypi.org/project/nupic,2018-06-01 15:37:54.000000,38.0,1660.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n366,keras-rl,keras-rl/keras-rl,,reinforcement-learning,https://github.com/keras-rl/keras-rl,https://github.com/keras-rl/keras-rl,MIT,2016-07-02 15:53:12.000000,2020-11-20 07:32:13.000000,2019-11-11 22:14:54.000000,1323,40.0,219.0,5156.0,308.0,Deep Reinforcement Learning for Keras.,40.0,24,False,2018-06-01 07:52:24.000000,0.4.2,8.0,keras-rl,,['tensorflow'],,890.0,640.0,538.0,https://pypi.org/project/keras-rl,2018-06-01 07:52:24.000000,102.0,890.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n367,Lasagne,Lasagne/Lasagne,,ml-frameworks,https://github.com/Lasagne/Lasagne,https://github.com/Lasagne/Lasagne,MIT,2014-09-11 15:31:41.000000,2019-11-20 20:28:31.000000,2019-11-20 20:28:30.000000,977,139.0,402.0,3797.0,1161.0,Lightweight library to build and train neural networks in Theano.,72.0,24,False,2015-08-13 21:00:09.000000,0.1,1.0,lasagne,,,,1463.0,1383.0,877.0,https://pypi.org/project/lasagne,2015-08-13 21:10:53.000000,506.0,1463.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n368,TensorFlowOnSpark,yahoo/TensorFlowOnSpark,,distributed-ml,https://github.com/yahoo/TensorFlowOnSpark,https://github.com/yahoo/TensorFlowOnSpark,Apache-2.0,2017-01-20 18:15:57.000000,2021-10-15 23:08:42.000000,2021-10-15 23:08:39.000000,959,5.0,354.0,3746.0,628.0,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,33.0,24,True,2021-05-25 22:25:31.000000,2.2.4,31.0,tensorflowonspark,,\"['tensorflow', 'spark']\",,128989.0,5.0,,https://pypi.org/project/tensorflowonspark,2021-05-25 20:44:29.000000,5.0,128989.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n369,Snips NLU,snipsco/snips-nlu,,nlp,https://github.com/snipsco/snips-nlu,https://github.com/snipsco/snips-nlu,Apache-2.0,2017-02-08 16:16:36.000000,2021-11-17 15:23:01.000000,2021-05-03 12:18:31.000000,495,55.0,196.0,3580.0,2154.0,Snips Python library to extract meaning from text.,22.0,24,True,2020-01-15 10:13:17.000000,0.20.2,58.0,snips-nlu,,,,2649.0,16.0,,https://pypi.org/project/snips-nlu,2020-01-15 10:13:17.000000,16.0,2649.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n370,DoWhy,Microsoft/dowhy,,interpretability,https://github.com/microsoft/dowhy,https://github.com/microsoft/dowhy,MIT,2018-05-31 13:07:04.000000,2021-12-05 16:33:38.000000,2021-12-05 16:33:33.000000,517,43.0,114.0,3456.0,471.0,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,45.0,24,True,2021-03-03 03:44:46.000000,0.6,6.0,dowhy,conda-forge/dowhy,,24.0,23325.0,77.0,77.0,https://pypi.org/project/dowhy,2021-03-03 03:45:16.000000,0.0,23114.0,https://anaconda.org/conda-forge/dowhy,2021-04-28 19:20:04.698000,4025.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n371,Darts,unit8co/darts,,time-series-data,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000000,2021-12-09 14:36:11.000000,2021-12-09 14:36:07.000000,275,104.0,179.0,3195.0,659.0,A python library for easy manipulation and forecasting of time series.,41.0,24,True,2021-11-28 09:32:55.000000,0.14.0,22.0,u8darts,,,,2180.0,22.0,22.0,https://pypi.org/project/u8darts,2021-11-28 09:32:55.000000,0.0,2175.0,,,,2.0,,,unit8/darts,https://hub.docker.com/r/unit8/darts,2021-11-28 09:42:06.260681,,205.0,,,,,,,,,,,,,,,,,,,\n372,nevergrad,facebookresearch/nevergrad,,hyperopt,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000000,2021-12-03 10:06:41.000000,2021-11-25 18:39:38.000000,299,97.0,152.0,3181.0,,A Python toolbox for performing gradient-free optimization.,46.0,24,True,2021-01-28 12:05:40.000000,0.4.3,34.0,nevergrad,conda-forge/nevergrad,,,25503.0,281.0,267.0,https://pypi.org/project/nevergrad,2021-11-10 18:52:59.000000,14.0,24530.0,https://anaconda.org/conda-forge/nevergrad,2021-06-14 12:44:22.518000,19477.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n373,xLearn,aksnzhy/xlearn,,ml-frameworks,https://github.com/aksnzhy/xlearn,https://github.com/aksnzhy/xlearn,Apache-2.0,2017-06-10 08:09:31.000000,2021-01-28 14:17:44.000000,2020-03-03 10:12:35.000000,528,193.0,110.0,2965.0,1340.0,\"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..\",30.0,24,False,2019-04-25 02:10:05.000000,0.4.4,15.0,xlearn,,,2992.0,1353.0,74.0,72.0,https://pypi.org/project/xlearn,2018-12-04 11:05:06.000000,2.0,1287.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n374,keras-vis,raghakot/keras-vis,,interpretability,https://github.com/raghakot/keras-vis,https://github.com/raghakot/keras-vis,MIT,2016-11-11 23:27:34.000000,2020-04-20 01:03:13.000000,2020-04-20 01:03:12.000000,614,114.0,99.0,2899.0,195.0,Neural network visualization toolkit for keras.,10.0,24,False,2017-07-06 04:55:04.000000,0.4.1,11.0,keras-vis,,['tensorflow'],,2114.0,1540.0,1484.0,https://pypi.org/project/keras-vis,2017-07-06 04:55:04.000000,56.0,2114.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n375,MONAI,Project-MONAI/MONAI,,medical-data,https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000000,2021-12-09 14:11:33.000000,2021-12-09 13:37:46.000000,483,123.0,1212.0,2545.0,,AI Toolkit for Healthcare Imaging.,83.0,24,True,2021-11-25 21:19:49.000000,0.8.0,34.0,monai,,['pytorch'],,9213.0,158.0,158.0,https://pypi.org/project/monai,2021-11-25 21:11:33.000000,0.0,9213.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n376,facenet-pytorch,timesler/facenet-pytorch,,image,https://github.com/timesler/facenet-pytorch,https://github.com/timesler/facenet-pytorch,MIT,2019-05-25 01:29:24.000000,2021-05-23 21:26:30.000000,2021-05-23 21:26:30.000000,542,52.0,89.0,2544.0,234.0,Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models.,14.0,24,True,2021-03-10 01:00:20.000000,2.5.2,31.0,facenet-pytorch,,['pytorch'],173440.0,12820.0,569.0,563.0,https://pypi.org/project/facenet-pytorch,2021-03-10 01:00:20.000000,6.0,5883.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n377,Arctic,man-group/arctic,,data-containers,https://github.com/man-group/arctic,https://github.com/man-group/arctic,LGPL-2.1,2015-05-29 13:37:30.000000,2021-12-08 13:46:39.000000,2021-12-08 13:46:39.000000,508,96.0,441.0,2512.0,1088.0,Arctic is a high performance datastore for numeric data.,72.0,24,True,2021-10-28 17:14:57.000000,1.80.0,84.0,arctic,conda-forge/arctic,,176.0,3507.0,185.0,143.0,https://pypi.org/project/arctic,2021-10-28 17:14:57.000000,42.0,2965.0,https://anaconda.org/conda-forge/arctic,2019-12-16 08:57:24.231000,16745.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n378,PandasGUI,adamerose/pandasgui,,data-viz,https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT,2019-06-12 02:19:42.000000,2021-11-02 18:53:17.000000,2021-09-25 15:27:41.000000,153,32.0,109.0,2482.0,706.0,A GUI for Pandas DataFrames.,10.0,24,True,2021-08-14 09:14:51.000000,0.2.13,43.0,pandasgui,,['pandas'],,3808.0,119.0,117.0,https://pypi.org/project/pandasgui,2021-08-14 09:14:51.000000,2.0,3808.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n379,fastNLP,fastnlp/fastNLP,,nlp,https://github.com/fastnlp/fastNLP,https://github.com/fastnlp/fastNLP,Apache-2.0,2018-03-07 13:30:20.000000,2021-12-06 12:23:20.000000,2021-12-06 11:37:15.000000,400,35.0,143.0,2430.0,1769.0,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,54.0,24,True,2020-11-06 15:31:29.000000,0.6.0,10.0,fastnlp,,,65.0,868.0,53.0,51.0,https://pypi.org/project/fastnlp,2019-02-04 02:35:37.000000,2.0,867.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n380,TorchServe,pytorch/serve,,model-serialisation,https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000000,2021-12-09 08:56:13.000000,2021-12-06 23:49:52.000000,417,116.0,634.0,2300.0,2369.0,Model Serving on PyTorch.,93.0,24,True,2021-11-19 20:57:33.000000,0.5.0,11.0,torchserve,pytorch/torchserve,['pytorch'],702.0,45827.0,0.0,,https://pypi.org/project/torchserve,2021-11-19 20:57:33.000000,0.0,8430.0,https://anaconda.org/pytorch/torchserve,2021-11-19 20:52:30.682000,16674.0,2.0,,,pytorch/torchserve,https://hub.docker.com/r/pytorch/torchserve,2021-11-22 21:46:40.121540,9.0,949770.0,,,,,,,,,,,,,,,,,,,\n381,vidgear,abhiTronix/vidgear,,image,https://github.com/abhiTronix/vidgear,https://github.com/abhiTronix/vidgear,Apache-2.0,2019-03-17 02:42:42.000000,2021-12-05 13:10:07.000000,2021-12-05 10:14:09.000000,154,2.0,189.0,2033.0,826.0,A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features.,9.0,24,True,2021-12-05 13:04:13.000000,0.2.4,16.0,vidgear,,,503.0,1641.0,154.0,152.0,https://pypi.org/project/vidgear,2021-12-05 13:04:13.000000,2.0,1626.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n382,accelerate,huggingface/accelerate,,pytorch-utils,https://github.com/huggingface/accelerate,https://github.com/huggingface/accelerate,Apache-2.0,2020-10-30 13:27:12.000000,2021-12-08 18:36:45.000000,2021-12-08 18:36:45.000000,113,47.0,86.0,2026.0,,\"A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision.\",29.0,24,True,2021-09-27 15:05:40.000000,0.5.1,8.0,accelerate,,['pytorch'],,36640.0,235.0,235.0,https://pypi.org/project/accelerate,2021-09-27 15:04:05.000000,0.0,36640.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n383,Essentia,MTG/essentia,,audio,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000000,2021-11-24 14:48:24.000000,2021-11-24 14:48:17.000000,430,347.0,596.0,1979.0,2942.0,\"C++ library for audio and music analysis, description and synthesis, including Python bindings.\",73.0,24,False,2015-03-31 16:33:30.000000,2.0,10.0,essentia,,,,1332.0,264.0,254.0,https://pypi.org/project/essentia,2021-11-04 15:23:58.000000,10.0,1332.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n384,Spektral,danielegrattarola/spektral,,graph,https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10.000000,2021-11-05 12:39:30.000000,2021-10-26 09:35:54.000000,259,36.0,159.0,1935.0,1033.0,Graph Neural Networks with Keras and Tensorflow 2.,19.0,24,True,2021-08-23 13:15:21.000000,1.0.8,31.0,spektral,,\"['tensorflow\"\"']\",,2202.0,84.0,84.0,https://pypi.org/project/spektral,2021-08-23 13:15:21.000000,0.0,2202.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n385,polyglot,aboSamoor/polyglot,,nlp,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,GPL-3.0,2014-06-30 02:07:45.000000,2021-04-28 03:41:03.000000,2020-09-22 22:35:28.000000,304,136.0,64.0,1928.0,271.0,Multilingual text (NLP) processing toolkit.,26.0,24,False,2016-07-03 20:05:42.000000,16.7.4,8.0,polyglot,,,,46373.0,747.0,617.0,https://pypi.org/project/polyglot,2016-07-03 20:05:42.000000,130.0,46373.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n386,textacy,chartbeat-labs/textacy,,nlp,https://github.com/chartbeat-labs/textacy,https://github.com/chartbeat-labs/textacy,Apache-2.0,2016-02-03 16:52:45.000000,2021-12-06 15:00:07.000000,2021-12-06 14:45:21.000000,232,26.0,219.0,1840.0,,\"NLP, before and after spaCy.\",31.0,24,True,2021-12-06 15:00:07.000000,0.12.0,31.0,textacy,conda-forge/textacy,,,27485.0,154.0,,https://pypi.org/project/textacy,2021-12-06 15:00:07.000000,154.0,25643.0,https://anaconda.org/conda-forge/textacy,2021-04-13 18:57:20.207000,101362.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n387,PyTextRank,DerwenAI/pytextrank,,nlp,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000000,2021-10-10 01:12:32.000000,2021-10-10 01:07:35.000000,320,22.0,57.0,1670.0,,Python implementation of TextRank for phrase extraction and summarization of text documents.,17.0,24,True,2021-10-10 01:12:11.000000,3.2.2,18.0,pytextrank,,,,9820.0,225.0,213.0,https://pypi.org/project/pytextrank,2021-10-10 01:12:11.000000,12.0,9820.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n388,IB-insync,erdewit/ib_insync,,financial-data,https://github.com/erdewit/ib_insync,https://github.com/erdewit/ib_insync,BSD-2-Clause,2017-07-12 12:09:24.000000,2021-11-29 01:17:29.243000,2021-11-28 19:31:51.000000,462,7.0,348.0,1634.0,616.0,Python sync/async framework for Interactive Brokers API.,29.0,24,True,2021-11-28 19:34:09.000000,0.9.70,95.0,ib_insync,conda-forge/ib-insync,,,4860.0,12.0,,https://pypi.org/project/ib_insync,2021-11-28 19:34:09.000000,12.0,4391.0,https://anaconda.org/conda-forge/ib-insync,2021-11-29 01:17:29.243000,13622.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n389,Fairness 360,Trusted-AI/AIF360,,interpretability,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15.000000,2021-12-09 12:10:04.000000,2021-11-18 15:43:53.000000,491,54.0,59.0,1585.0,342.0,\"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..\",46.0,24,True,2021-03-04 18:11:34.000000,0.4.0,9.0,aif360,,,,3065.0,132.0,128.0,https://pypi.org/project/aif360,2021-03-04 18:11:34.000000,4.0,3065.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n390,Alibi,SeldonIO/alibi,,interpretability,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Apache-2.0,2019-02-26 10:10:56.000000,2021-12-08 18:38:51.000000,2021-12-08 16:16:33.000000,159,102.0,146.0,1401.0,348.0,Algorithms for explaining machine learning models.,18.0,24,True,2021-11-18 13:42:16.000000,0.6.2,21.0,alibi,,,,6948.0,141.0,123.0,https://pypi.org/project/alibi,2021-11-18 13:40:41.000000,18.0,6948.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n391,CausalNex,quantumblacklabs/causalnex,,interpretability,https://github.com/quantumblacklabs/causalnex,https://github.com/quantumblacklabs/causalnex,Apache-2.0,2019-12-12 15:26:09.000000,2021-11-11 15:15:32.000000,2021-11-11 15:06:17.000000,149,13.0,87.0,1381.0,155.0,A Python library that helps data scientists to infer causation rather than observing correlation.,22.0,24,True,2021-11-11 15:15:32.000000,0.11.0,16.0,causalnex,,\"['pytorch', 'sklearn']\",,2722.0,33.0,33.0,https://pypi.org/project/causalnex,2021-11-11 15:15:32.000000,0.0,2722.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n392,pycm,sepandhaghighi/pycm,,others,https://github.com/sepandhaghighi/pycm,https://github.com/sepandhaghighi/pycm,MIT,2018-01-22 19:46:54.000000,2021-12-09 13:42:39.000000,2021-10-27 05:51:03.000000,102,17.0,161.0,1188.0,2773.0,Multi-class confusion matrix library in Python.,16.0,24,True,2021-10-27 06:03:28.000000,3.3,37.0,pycm,,,,26060.0,131.0,121.0,https://pypi.org/project/pycm,2021-10-27 06:04:03.000000,10.0,26060.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n393,livelossplot,stared/livelossplot,,ml-experiments,https://github.com/stared/livelossplot,https://github.com/stared/livelossplot,MIT,2018-03-10 17:51:43.000000,2021-10-12 11:52:57.000000,2021-10-12 11:52:20.000000,138,3.0,70.0,1138.0,328.0,\"Live training loss plot in Jupyter Notebook for Keras, PyTorch and others.\",17.0,24,True,2021-02-03 16:25:47.000000,0.5.4,24.0,livelossplot,,['jupyter'],,42530.0,696.0,686.0,https://pypi.org/project/livelossplot,2021-02-03 16:25:47.000000,10.0,42530.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n394,tensorly,tensorly/tensorly,,others,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52.000000,2021-12-07 15:16:38.000000,2021-12-01 17:41:12.000000,220,47.0,127.0,1129.0,,TensorLy: Tensor Learning in Python.,48.0,24,True,2021-11-08 13:38:03.000000,0.7.0,18.0,tensorly,conda-forge/tensorly,,,7851.0,216.0,196.0,https://pypi.org/project/tensorly,2021-11-08 13:38:03.000000,20.0,3535.0,https://anaconda.org/conda-forge/tensorly,2020-12-07 22:44:30.386000,185593.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n395,pandasql,yhat/pandasql,,data-containers,https://github.com/yhat/pandasql,https://github.com/yhat/pandasql,MIT,2013-02-18 01:53:56.000000,2020-08-14 13:00:13.000000,2017-02-01 15:40:30.000000,147,44.0,23.0,1058.0,127.0,sqldf for pandas.,15.0,24,False,2016-04-20 21:52:36.000000,0.7.3,31.0,pandasql,,['pandas'],,524590.0,1120.0,1022.0,https://pypi.org/project/pandasql,2016-04-20 21:52:36.000000,98.0,524590.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n396,ffn,pmorissette/ffn,,financial-data,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09.000000,2021-05-15 18:59:42.000000,2021-04-24 00:58:10.000000,200,16.0,80.0,1013.0,351.0,ffn - a financial function library for Python.,26.0,24,True,2021-04-21 02:47:21.000000,0.3.6,27.0,ffn,,,,15886.0,202.0,160.0,https://pypi.org/project/ffn,2021-04-21 02:47:21.000000,42.0,15886.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n397,openTSNE,pavlin-policar/openTSNE,,data-viz,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000000,2021-11-13 15:59:24.399000,2021-10-25 08:00:42.000000,99,3.0,95.0,925.0,578.0,\"Extensible, parallel implementations of t-SNE.\",10.0,24,True,2021-10-25 08:35:29.000000,0.6.1,22.0,opentsne,conda-forge/opentsne,,,16421.0,270.0,266.0,https://pypi.org/project/opentsne,2021-10-25 08:35:29.000000,4.0,12912.0,https://anaconda.org/conda-forge/opentsne,2021-11-13 15:59:24.399000,126329.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n398,PySwarms,ljvmiranda921/pyswarms,,others,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45.000000,2021-12-03 19:52:38.000000,2021-06-23 11:19:05.000000,280,16.0,181.0,862.0,409.0,A research toolkit for particle swarm optimization in Python.,43.0,24,True,2021-01-03 21:34:15.000000,1.3.0,20.0,pyswarms,,,,20614.0,145.0,145.0,https://pypi.org/project/pyswarms,2021-01-03 21:34:15.000000,0.0,20614.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n399,pyopencl,inducer/pyopencl,,others,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,MIT,2011-04-06 02:51:33.000000,2021-12-07 05:29:09.000000,2021-12-07 05:29:09.000000,216,69.0,233.0,858.0,,\"OpenCL integration for Python, plus shiny features.\",90.0,24,True,2021-10-18 03:11:29.000000,2021.2.9,72.0,pyopencl,conda-forge/pyopencl,,,15716.0,831.0,593.0,https://pypi.org/project/pyopencl,2021-12-05 22:06:06.000000,238.0,7031.0,https://anaconda.org/conda-forge/pyopencl,2021-12-06 03:04:41.546000,538481.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n400,arch,bashtage/arch,,financial-data,https://github.com/bashtage/arch,https://github.com/bashtage/arch,NCSA,2014-08-29 15:41:28.000000,2021-11-19 16:04:07.000000,2021-11-19 15:39:38.000000,194,15.0,148.0,836.0,,ARCH models in Python.,30.0,24,False,2021-11-19 16:00:03.000000,5.1.0,35.0,arch,,,,108370.0,455.0,413.0,https://pypi.org/project/arch,2021-11-19 16:00:03.000000,42.0,108370.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n401,GPyOpt,SheffieldML/GPyOpt,,hyperopt,https://github.com/SheffieldML/GPyOpt,https://github.com/SheffieldML/GPyOpt,BSD-3-Clause,2014-08-13 09:58:25.000000,2020-11-17 10:32:02.000000,2020-11-05 15:16:04.000000,236,99.0,186.0,780.0,514.0,Gaussian Process Optimization using GPy.,49.0,24,False,2020-03-19 21:21:18.000000,1.2.6,11.0,gpyopt,,,,8958.0,270.0,234.0,https://pypi.org/project/gpyopt,2020-03-19 11:37:45.000000,36.0,8958.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n402,dask-ml,dask/dask-ml,,distributed-ml,https://github.com/dask/dask-ml,https://github.com/dask/dask-ml,BSD-3-Clause,2017-06-15 15:56:06.000000,2021-11-30 22:00:24.715000,2021-11-30 14:46:11.000000,215,225.0,234.0,770.0,,Scalable Machine Learning with Dask.,69.0,24,True,2021-11-30 15:21:04.000000,2021.11.30,31.0,dask-ml,conda-forge/dask-ml,,,45932.0,566.0,524.0,https://pypi.org/project/dask-ml,2021-11-30 15:21:04.000000,42.0,40837.0,https://anaconda.org/conda-forge/dask-ml,2021-11-30 22:00:24.715000,254779.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n403,tensorflow-upstream,ROCmSoftwarePlatform/tensorflow-upstream,,ml-frameworks,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,Apache-2.0,2018-04-09 21:24:50.000000,2021-12-09 13:03:56.000000,2021-12-08 23:47:19.000000,66,56.0,262.0,573.0,79524.0,TensorFlow ROCm port.,3884.0,24,True,2021-10-14 03:13:43.000000,2.6.2,70.0,tensorflow-rocm,,['tensorflow'],17.0,706.0,0.0,,https://pypi.org/project/tensorflow-rocm,2021-10-14 03:13:43.000000,0.0,706.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n404,TensorFlow I/O,tensorflow/io,,tensorflow-utils,https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05.000000,2021-12-08 05:31:48.000000,2021-12-01 20:25:24.000000,204,158.0,324.0,521.0,1517.0,\"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.\",83.0,24,True,2021-11-10 18:53:06.000000,0.22.0,28.0,tensorflow-io,,['tensorflow'],,96588.0,0.0,,https://pypi.org/project/tensorflow-io,2021-11-10 18:47:31.000000,0.0,96588.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n405,Cornac,PreferredAI/cornac,,recommender-systems,https://github.com/PreferredAI/cornac,https://github.com/PreferredAI/cornac,Apache-2.0,2018-07-17 06:31:35.000000,2021-11-22 07:20:04.000000,2021-09-30 10:13:24.000000,79,3.0,71.0,479.0,1230.0,A Comparative Framework for Multimodal Recommender Systems.,13.0,24,True,2021-09-26 07:01:44.000000,1.14.1,45.0,cornac,conda-forge/cornac,,,10080.0,70.0,68.0,https://pypi.org/project/cornac,2021-09-26 07:12:34.000000,2.0,3917.0,https://anaconda.org/conda-forge/cornac,2021-11-15 19:24:15.089000,191074.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n406,sklearn-crfsuite,TeamHG-Memex/sklearn-crfsuite,,sklearn-utils,https://github.com/TeamHG-Memex/sklearn-crfsuite,https://github.com/TeamHG-Memex/sklearn-crfsuite,MIT,2015-11-26 21:15:41.000000,2021-10-27 17:57:56.000000,2019-12-05 08:17:22.000000,173,37.0,23.0,385.0,46.0,scikit-learn inspired API for CRFsuite.,6.0,24,False,2017-06-22 18:49:27.000000,0.3.6,9.0,sklearn-crfsuite,,['sklearn'],,53700.0,3703.0,3307.0,https://pypi.org/project/sklearn-crfsuite,2017-06-22 18:49:27.000000,396.0,53700.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n407,pyvips,libvips/pyvips,,image,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000000,2021-11-22 15:51:16.569000,2021-11-16 14:19:31.000000,32,92.0,162.0,370.0,410.0,python binding for libvips using cffi.,12.0,24,True,2021-11-20 11:46:55.000000,2.1.16,22.0,pyvips,conda-forge/pyvips,,,8442.0,271.0,249.0,https://pypi.org/project/pyvips,2021-11-20 11:46:55.000000,22.0,7960.0,https://anaconda.org/conda-forge/pyvips,2021-11-22 15:51:16.569000,13499.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n408,TensorFlow Cloud,tensorflow/cloud,,tensorflow-utils,https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59.000000,2021-12-07 19:35:30.000000,2021-09-07 17:39:33.000000,64,53.0,26.0,318.0,565.0,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,25.0,24,True,2021-06-17 01:15:10.000000,0.1.16,19.0,tensorflow-cloud,,['tensorflow'],,408841.0,115.0,115.0,https://pypi.org/project/tensorflow-cloud,2021-06-17 01:15:10.000000,0.0,408841.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n409,datalad,datalad/datalad,,others,https://github.com/datalad/datalad,https://github.com/datalad/datalad,MIT,2013-11-01 19:40:08.000000,2021-12-09 14:22:01.000000,2021-12-09 09:16:49.000000,89,523.0,2823.0,268.0,14954.0,\"Keep code, data, containers under control with git and git-annex.\",46.0,24,False,2021-10-30 08:45:36.000000,0.15.3,76.0,datalad,conda-forge/datalad,,,7086.0,26.0,,https://pypi.org/project/datalad,2021-10-30 08:45:36.000000,26.0,3150.0,https://anaconda.org/conda-forge/datalad,2021-11-18 19:05:43.182000,177161.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n410,Orion,Epistimio/orion,,hyperopt,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21.000000,2021-12-09 10:05:50.000000,2021-12-01 17:47:52.000000,44,65.0,143.0,208.0,3037.0,Asynchronous Distributed Hyperparameter Optimization.,24.0,24,False,2021-11-26 18:02:35.000000,0.2.1,20.0,orion,,,,1966.0,53.0,45.0,https://pypi.org/project/orion,2021-11-26 18:02:35.000000,8.0,1966.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n411,DeepSpeech,mozilla/DeepSpeech,,audio,https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53.000000,2021-07-30 19:01:32.000000,,3312,119.0,,18334.0,,\"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..\",142.0,23,True,2020-12-10 17:22:09.000000,0.9.3,100.0,deepspeech,,['tensorflow'],,5618.0,58.0,,https://pypi.org/project/deepspeech,2020-12-19 10:05:12.000000,58.0,5618.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n412,Apex,NVIDIA/apex,,gpu-utilities,https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000000,2021-12-09 07:12:56.000000,2021-12-09 07:12:55.000000,863,530.0,392.0,5930.0,898.0,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,87.0,23,True,,,1.0,,conda-forge/nvidia-apex,['pytorch'],,2694.0,815.0,815.0,,,,,https://anaconda.org/conda-forge/nvidia-apex,2021-04-22 16:13:47.237000,70059.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n413,english-words,dwyl/english-words,,nlp,https://github.com/dwyl/english-words,https://github.com/dwyl/english-words,Unlicense,2014-07-13 22:20:45.000000,2021-11-10 15:08:38.000000,2021-10-20 08:05:51.000000,1209,45.0,26.0,5808.0,85.0,A text file containing 479k English words for all your dictionary/word-based projects e.g: auto-completion /..,26.0,23,True,2021-08-02 04:02:28.000000,1.0.4,5.0,english-words,,,,3460.0,4.0,,https://pypi.org/project/english-words,2021-08-02 04:02:28.000000,4.0,3460.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n414,snownlp,isnowfy/snownlp,,chinese-nlp,https://github.com/isnowfy/snownlp,https://github.com/isnowfy/snownlp,MIT,2013-11-26 11:46:56.000000,2020-01-19 02:39:05.000000,2020-01-19 02:39:03.000000,1298,39.0,65.0,5640.0,57.0,Python library for processing Chinese text.,8.0,23,False,2015-09-27 16:35:23.000000,0.12.3,17.0,snownlp,,,,3969.0,820.0,744.0,https://pypi.org/project/snownlp,2015-09-27 16:35:23.000000,76.0,3969.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n415,flashtext,vi3k6i5/flashtext,,nlp,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01.000000,2021-07-26 20:38:52.000000,2020-05-03 07:13:22.000000,556,54.0,51.0,5003.0,108.0,Extract Keywords from sentence or Replace keywords in sentences.,7.0,23,False,,,18.0,flashtext,,,,241064.0,671.0,639.0,https://pypi.org/project/flashtext,2018-02-16 05:24:17.000000,32.0,241064.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n416,textgenrnn,minimaxir/textgenrnn,,nlp,https://github.com/minimaxir/textgenrnn,https://github.com/minimaxir/textgenrnn,MIT,2017-08-07 02:13:37.000000,2021-06-18 06:05:47.000000,2020-07-14 02:41:10.000000,706,117.0,86.0,4576.0,174.0,Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines..,19.0,23,False,2020-02-03 01:07:00.000000,2.0.0,14.0,textgenrnn,,['tensorflow'],619.0,584.0,974.0,946.0,https://pypi.org/project/textgenrnn,2020-02-02 21:16:15.000000,28.0,570.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n417,Lucid,tensorflow/lucid,,interpretability,https://github.com/tensorflow/lucid,https://github.com/tensorflow/lucid,Apache-2.0,2018-01-25 17:41:44.000000,2021-07-02 01:49:08.000000,2021-03-19 15:48:33.000000,592,70.0,100.0,4340.0,667.0,A collection of infrastructure and tools for research in neural network interpretability.,40.0,23,True,2021-03-19 16:01:00.000000,0.3.10,17.0,lucid,,['tensorflow'],,557.0,597.0,591.0,https://pypi.org/project/lucid,2021-03-19 16:01:00.000000,6.0,557.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n418,T5,google-research/text-to-text-transfer-transformer,,nlp,https://github.com/google-research/text-to-text-transfer-transformer,https://github.com/google-research/text-to-text-transfer-transformer,Apache-2.0,2019-10-17 21:45:14.000000,2021-12-08 21:26:05.000000,2021-12-08 21:25:59.000000,527,64.0,333.0,3843.0,,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,43.0,23,True,2021-10-18 13:55:26.000000,0.9.3,28.0,t5,,['tensorflow'],,5137.0,70.0,70.0,https://pypi.org/project/t5,2021-10-18 13:55:26.000000,0.0,5137.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n419,segmentation_models,qubvel/segmentation_models,,image,https://github.com/qubvel/segmentation_models,https://github.com/qubvel/segmentation_models,MIT,2018-06-05 13:27:56.000000,2021-12-06 07:58:05.000000,2020-04-17 09:51:20.000000,832,198.0,253.0,3562.0,204.0,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,14.0,23,False,2020-01-10 11:36:02.000000,1.0.1,8.0,segmentation_models,,['tensorflow'],,27647.0,24.0,,https://pypi.org/project/segmentation_models,2020-01-10 11:36:02.000000,24.0,27647.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n420,PyAlgoTrade,gbeced/pyalgotrade,,financial-data,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54.000000,2021-11-28 22:07:38.000000,2018-08-21 02:42:52.000000,1216,45.0,84.0,3561.0,1156.0,Python Algorithmic Trading Library.,11.0,23,False,,,8.0,pyalgotrade,,,,624.0,118.0,97.0,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25.000000,21.0,624.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n421,yellowbrick,DistrictDataLabs/yellowbrick,,interpretability,https://github.com/DistrictDataLabs/yellowbrick,https://github.com/DistrictDataLabs/yellowbrick,Apache-2.0,2016-05-18 14:12:17.000000,2021-11-10 14:17:21.000000,2021-11-10 14:17:20.000000,491,95.0,547.0,3426.0,,Visual analysis and diagnostic tools to facilitate machine learning model selection.,102.0,23,True,2021-02-13 20:31:18.000000,1.3.post1,22.0,yellowbrick,,['sklearn'],,197255.0,62.0,,https://pypi.org/project/yellowbrick,2021-02-13 20:42:26.000000,62.0,197255.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n422,speechbrain,speechbrain/speechbrain,,audio,https://github.com/speechbrain/speechbrain,https://github.com/speechbrain/speechbrain,Apache-2.0,2020-04-28 17:48:45.000000,2021-12-09 10:58:30.000000,2021-12-09 05:10:22.000000,593,110.0,424.0,3405.0,,A PyTorch-based Speech Toolkit.,141.0,23,True,2021-09-11 22:34:16.000000,0.5.10,9.0,speechbrain,,['pytorch'],,3874.0,98.0,98.0,https://pypi.org/project/speechbrain,2021-09-11 22:35:26.000000,0.0,3874.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n423,Stable Baselines,hill-a/stable-baselines,,reinforcement-learning,https://github.com/hill-a/stable-baselines,https://github.com/hill-a/stable-baselines,MIT,2018-07-02 14:28:59.000000,2021-08-25 09:25:32.000000,2021-08-25 09:25:32.000000,650,128.0,797.0,3366.0,838.0,\"A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.\",112.0,23,True,2021-04-06 12:37:09.000000,2.10.2,31.0,stable-baselines,,,,5479.0,50.0,,https://pypi.org/project/stable-baselines,2021-04-06 12:37:09.000000,50.0,5479.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n424,PaddleSeg,PaddlePaddle/PaddleSeg,,image,https://github.com/PaddlePaddle/PaddleSeg,https://github.com/PaddlePaddle/PaddleSeg,Apache-2.0,2019-08-26 02:32:22.000000,2021-12-09 15:03:52.000000,2021-12-06 02:51:03.000000,743,380.0,409.0,3305.0,,\"Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks..\",58.0,23,True,2021-10-13 06:47:17.000000,2.3.0,13.0,paddleseg,,['paddle'],,653.0,407.0,407.0,https://pypi.org/project/paddleseg,2021-10-13 06:47:17.000000,0.0,653.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n425,Image Super-Resolution,idealo/image-super-resolution,,image,https://github.com/idealo/image-super-resolution,https://github.com/idealo/image-super-resolution,Apache-2.0,2018-11-26 13:41:13.000000,2021-11-02 15:48:01.000000,2021-06-02 09:45:13.000000,571,80.0,108.0,3273.0,150.0,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,10.0,23,True,2020-01-08 15:37:35.000000,2.2.0,11.0,ISR,,['tensorflow'],,2887.0,75.0,67.0,https://pypi.org/project/ISR,2020-01-08 15:37:35.000000,8.0,2882.0,,,,3.0,,,idealo/image-super-resolution-gpu,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,,188.0,,,,,,,,,,,,,,,,,,,\n426,Chartify,spotify/chartify,,data-viz,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05.000000,2021-09-17 06:10:10.000000,2021-02-05 18:49:02.000000,270,40.0,31.0,3047.0,195.0,Python library that makes it easy for data scientists to create charts.,21.0,23,True,2020-11-02 22:14:08.000000,3.0.3,16.0,chartify,conda-forge/chartify,,,1393.0,66.0,61.0,https://pypi.org/project/chartify,2020-11-02 22:14:08.000000,5.0,930.0,https://anaconda.org/conda-forge/chartify,2020-11-07 19:52:50.628000,17160.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n427,MMLSpark,Azure/mmlspark,,distributed-ml,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000000,2021-12-09 07:22:54.000000,2021-12-09 07:13:12.000000,582,192.0,274.0,2865.0,991.0,Simple and Distributed Machine Learning.,76.0,23,True,2021-11-16 05:19:37.000000,0.9.4,22.0,mmlspark,,['spark'],,32092.0,,,https://pypi.org/project/mmlspark,2020-03-18 01:27:31.000000,,32092.0,,,,3.0,,,,,,,,,,,,,,,,,,microsoft/SynapseML,,,,,,,,\n428,layout-parser,Layout-Parser/layout-parser,,image,https://github.com/Layout-Parser/layout-parser,https://github.com/Layout-Parser/layout-parser,Apache-2.0,2020-06-10 20:22:54.000000,2021-12-03 06:49:39.000000,2021-09-23 16:39:47.000000,245,36.0,31.0,2677.0,166.0,A Unified Toolkit for Deep Learning Based Document Image Analysis.,5.0,23,True,2021-09-23 17:37:22.000000,0.3.2,9.0,layoutparser,,,,2229.0,32.0,32.0,https://pypi.org/project/layoutparser,2021-09-23 17:37:22.000000,0.0,2229.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n429,ART,Trusted-AI/adversarial-robustness-toolbox,,adversarial,https://github.com/Trusted-AI/adversarial-robustness-toolbox,https://github.com/Trusted-AI/adversarial-robustness-toolbox,MIT,2018-03-15 14:40:43.000000,2021-12-09 14:33:31.000000,2021-12-09 00:05:05.000000,728,70.0,537.0,2618.0,,\"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..\",87.0,23,True,2021-10-15 15:52:28.000000,1.8.1,36.0,adversarial-robustness-toolbox,,,,2943.0,170.0,170.0,https://pypi.org/project/adversarial-robustness-toolbox,2021-10-15 15:41:12.000000,0.0,2943.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n430,tensorflow-graphics,tensorflow/graphics,,image,https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44.000000,2021-12-06 23:26:55.000000,2021-12-06 14:39:04.000000,325,126.0,89.0,2562.0,741.0,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,34.0,23,True,2021-12-03 22:33:39.000000,2021.12.3,25.0,tensorflow-graphics,,['tensorflow'],,1370.0,6.0,,https://pypi.org/project/tensorflow-graphics,2021-12-03 22:33:39.000000,6.0,1370.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n431,analytics-zoo,intel-analytics/analytics-zoo,,distributed-ml,https://github.com/intel-analytics/analytics-zoo,https://github.com/intel-analytics/analytics-zoo,Apache-2.0,2017-05-05 02:27:30.000000,2021-12-08 20:18:57.000000,2021-12-08 13:42:35.000000,701,561.0,836.0,2445.0,3410.0,\"Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray.\",105.0,23,True,2021-07-19 00:31:21.000000,0.11.0,181.0,analytics-zoo,,['spark'],,6196.0,2.0,2.0,https://pypi.org/project/analytics-zoo,2021-12-08 20:18:57.000000,,6196.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n432,TF Ranking,tensorflow/ranking,,recommender-systems,https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57.000000,2021-11-22 21:37:02.000000,2021-11-22 21:36:59.000000,408,42.0,231.0,2357.0,442.0,Learning to Rank in TensorFlow.,25.0,23,True,2021-11-16 23:49:54.000000,0.5.0,19.0,tensorflow_ranking,,['tensorflow'],,21749.0,2.0,,https://pypi.org/project/tensorflow_ranking,2021-11-16 01:31:58.000000,2.0,21749.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n433,GluonTS,awslabs/gluon-ts,,time-series-data,https://github.com/awslabs/gluon-ts,https://github.com/awslabs/gluon-ts,Apache-2.0,2019-05-15 17:17:29.000000,2021-12-09 14:08:12.000000,2021-12-09 14:00:14.000000,475,273.0,419.0,2313.0,822.0,Probabilistic time series modeling in Python.,79.0,23,True,2021-08-12 10:05:38.000000,0.8.1,43.0,gluonts,,['mxnet'],,43908.0,0.0,,https://pypi.org/project/gluonts,2021-11-11 15:18:16.000000,0.0,43908.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n434,pytorch-nlp,PetrochukM/PyTorch-NLP,,nlp,https://github.com/PetrochukM/PyTorch-NLP,https://github.com/PetrochukM/PyTorch-NLP,BSD-3-Clause,2018-02-25 05:00:36.000000,2021-08-22 16:33:38.000000,2021-07-10 15:56:42.000000,242,18.0,49.0,1997.0,447.0,Basic Utilities for PyTorch Natural Language Processing (NLP).,18.0,23,True,2019-11-04 05:16:00.000000,0.5.0,19.0,pytorch-nlp,,['pytorch'],,4389.0,330.0,312.0,https://pypi.org/project/pytorch-nlp,2019-11-04 04:35:18.000000,18.0,4389.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n435,PyFlux,RJT1990/pyflux,,time-series-data,https://github.com/RJT1990/pyflux,https://github.com/RJT1990/pyflux,BSD-3-Clause,2016-02-16 20:12:02.000000,2019-03-19 10:45:02.000000,2018-12-16 15:30:13.000000,218,82.0,65.0,1931.0,118.0,Open source time series library for Python.,6.0,23,False,2017-11-21 16:27:06.000000,0.4.16,35.0,pyflux,,,,12042.0,235.0,205.0,https://pypi.org/project/pyflux,2017-11-21 16:27:06.000000,30.0,12042.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n436,efficientnet,qubvel/efficientnet,,tensorflow-utils,https://github.com/qubvel/efficientnet,https://github.com/qubvel/efficientnet,Apache-2.0,2019-05-30 20:21:09.000000,2021-08-16 07:14:52.000000,2021-07-16 09:03:20.000000,432,59.0,56.0,1915.0,66.0,Implementation of EfficientNet model. Keras and TensorFlow Keras.,10.0,23,True,2020-09-15 16:26:00.000000,1.1.1,9.0,efficientnet,,['tensorflow'],197069.0,51712.0,832.0,828.0,https://pypi.org/project/efficientnet,2020-09-15 16:26:00.000000,4.0,45355.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n437,HyperTools,ContextLab/hypertools,,data-viz,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25.000000,2021-07-19 16:15:16.000000,2021-07-19 16:15:16.000000,155,67.0,122.0,1677.0,1599.0,A Python toolbox for gaining geometric insights into high-dimensional data.,21.0,23,True,2021-06-15 19:22:37.000000,0.7.0,20.0,hypertools,,,8.0,596.0,168.0,159.0,https://pypi.org/project/hypertools,2021-06-15 19:22:37.000000,9.0,596.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n438,Multicore-TSNE,DmitryUlyanov/Multicore-TSNE,,data-viz,https://github.com/DmitryUlyanov/Multicore-TSNE,https://github.com/DmitryUlyanov/Multicore-TSNE,BSD-3-Clause,2016-10-19 05:46:52.000000,2021-11-09 17:22:51.512000,2020-08-19 14:58:00.000000,200,37.0,21.0,1660.0,113.0,Parallel t-SNE implementation with Python and Torch wrappers.,15.0,23,False,2017-11-08 13:32:20.000000,0.0.1,3.0,MulticoreTSNE,conda-forge/multicore-tsne,['pytorch'],,3777.0,290.0,262.0,https://pypi.org/project/MulticoreTSNE,2019-01-09 07:23:04.000000,28.0,3464.0,https://anaconda.org/conda-forge/multicore-tsne,2021-11-09 17:22:51.512000,11616.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n439,pytorch-forecasting,jdb78/pytorch-forecasting,,time-series-data,https://github.com/jdb78/pytorch-forecasting,https://github.com/jdb78/pytorch-forecasting,MIT,2020-07-03 13:05:24.000000,2021-12-08 19:15:04.000000,2021-12-06 14:49:56.000000,219,138.0,227.0,1555.0,1089.0,Time series forecasting with PyTorch.,24.0,23,True,2021-11-29 19:55:05.000000,0.9.2,29.0,pytorch-forecasting,,,,9679.0,0.0,,https://pypi.org/project/pytorch-forecasting,2021-11-29 19:55:05.000000,0.0,9679.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n440,FairScale,facebookresearch/fairscale,,distributed-ml,https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000000,2021-12-09 05:07:38.000000,2021-12-06 16:08:38.000000,135,55.0,195.0,1534.0,,PyTorch extensions for high performance and large scale training.,51.0,23,True,2021-11-18 22:57:34.000000,0.4.3,25.0,fairscale,,['pytorch'],,21620.0,117.0,117.0,https://pypi.org/project/fairscale,2021-11-18 22:49:54.000000,0.0,21620.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n441,checklist,marcotcr/checklist,,interpretability,https://github.com/marcotcr/checklist,https://github.com/marcotcr/checklist,MIT,2020-03-09 17:18:49.000000,2021-11-23 19:38:48.000000,2021-09-28 21:55:38.000000,144,12.0,76.0,1534.0,247.0,Beyond Accuracy: Behavioral Testing of NLP models with CheckList.,12.0,23,True,2021-05-24 16:45:59.000000,0.0.11,10.0,checklist,,['jupyter'],,8298.0,61.0,57.0,https://pypi.org/project/checklist,2021-05-24 16:45:59.000000,4.0,8298.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n442,TensorFlow Privacy,tensorflow/privacy,,privacy-ml,https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000000,2021-12-07 18:48:55.000000,2021-12-07 18:48:55.000000,325,62.0,84.0,1523.0,556.0,Library for training machine learning models with privacy for training data.,43.0,23,True,2021-09-01 02:54:34.000000,0.7.3,17.0,tensorflow-privacy,,['tensorflow'],59.0,11045.0,2.0,,https://pypi.org/project/tensorflow-privacy,2021-09-01 02:54:34.000000,2.0,11043.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n443,Torchmeta,tristandeleu/pytorch-meta,,pytorch-utils,https://github.com/tristandeleu/pytorch-meta,https://github.com/tristandeleu/pytorch-meta,MIT,2018-12-04 23:36:45.000000,2021-12-07 20:25:01.000000,2021-09-20 16:03:46.000000,183,31.0,87.0,1506.0,382.0,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.,12.0,23,True,2021-09-20 16:06:33.000000,1.8.0,28.0,torchmeta,,['pytorch'],,591.0,77.0,77.0,https://pypi.org/project/torchmeta,2021-09-20 16:06:33.000000,,591.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n444,modAL,modAL-python/modAL,,others,https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000000,2021-12-08 01:37:00.000000,2021-01-07 09:40:40.000000,229,62.0,53.0,1501.0,648.0,A modular active learning framework for Python.,14.0,23,True,2021-01-07 09:47:49.000000,0.4.1,12.0,modAL,,['sklearn'],19.0,1157.0,117.0,109.0,https://pypi.org/project/modAL,2021-01-07 09:47:49.000000,8.0,1157.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n445,sklearn-contrib-lightning,scikit-learn-contrib/lightning,,sklearn-utils,https://github.com/scikit-learn-contrib/lightning,https://github.com/scikit-learn-contrib/lightning,BSD-3-Clause,2012-01-11 13:53:52.000000,2021-11-13 15:37:21.493000,2021-06-15 21:53:37.000000,193,50.0,40.0,1496.0,728.0,\"Large-scale linear classification, regression and ranking in Python.\",17.0,23,True,2021-06-16 21:04:08.000000,0.6.1,10.0,sklearn-contrib-lightning,conda-forge/sklearn-contrib-lightning,['sklearn'],100.0,3628.0,106.0,96.0,https://pypi.org/project/sklearn-contrib-lightning,2021-06-15 21:53:28.000000,10.0,1159.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2021-11-13 15:37:21.493000,159484.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n446,bonobo,python-bonobo/bonobo,,data-pipelines,https://github.com/python-bonobo/bonobo,https://github.com/python-bonobo/bonobo,Apache-2.0,2016-12-09 04:03:23.000000,2021-11-10 16:43:45.000000,2021-03-10 15:44:00.000000,123,95.0,108.0,1475.0,978.0,Extract Transform Load for Python 3.5+.,37.0,23,True,2019-05-16 13:19:48.000000,0.6.4,38.0,bonobo,,,,2966.0,178.0,126.0,https://pypi.org/project/bonobo,2019-07-20 13:33:19.000000,52.0,2966.0,,,,3.0,,http://docs.bonobo-project.org/en/master/,,,,,,,,,,,,,,,,,,,,,,,,\n447,Karate Club,benedekrozemberczki/karateclub,,graph,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56.000000,2021-11-21 17:31:34.000000,2021-11-21 17:31:16.000000,171,1.0,64.0,1458.0,2202.0,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,13.0,23,False,2021-09-29 21:05:51.000000,_10202,101.0,karateclub,,,,2244.0,64.0,64.0,https://pypi.org/project/karateclub,2021-09-29 21:00:31.000000,0.0,2244.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n448,streamparse,Parsely/streamparse,,data-pipelines,https://github.com/Parsely/streamparse,https://github.com/Parsely/streamparse,Apache-2.0,2014-05-02 20:33:50.000000,2021-06-21 22:49:33.000000,2020-12-18 18:43:59.000000,219,69.0,263.0,1445.0,1059.0,\"Run Python in Apache Storm topologies. Pythonic API, CLI tooling, and a topology DSL.\",41.0,23,True,2020-10-07 19:53:15.000000,4.0.0,47.0,streamparse,,,,2614.0,104.0,52.0,https://pypi.org/project/streamparse,2020-10-07 19:45:19.000000,52.0,2614.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n449,fklearn,nubank/fklearn,,ml-frameworks,https://github.com/nubank/fklearn,https://github.com/nubank/fklearn,Apache-2.0,2019-02-27 14:32:57.000000,2021-12-06 18:26:25.000000,2021-12-06 18:24:05.000000,150,19.0,21.0,1360.0,131.0,fklearn: Functional Machine Learning.,41.0,23,True,2021-12-06 18:26:25.000000,1.24.0,23.0,fklearn,,,,1694.0,10.0,10.0,https://pypi.org/project/fklearn,2021-12-06 18:26:25.000000,,1694.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n450,garage,rlworkgroup/garage,,reinforcement-learning,https://github.com/rlworkgroup/garage,https://github.com/rlworkgroup/garage,MIT,2018-06-10 21:31:23.000000,2021-10-20 05:09:03.000000,2021-10-20 05:09:03.000000,240,205.0,798.0,1351.0,1217.0,A toolkit for reproducible reinforcement learning research.,78.0,23,True,2021-03-23 22:18:36.000000,2021.3.0,21.0,garage,,['tensorflow'],,355.0,22.0,22.0,https://pypi.org/project/garage,2021-03-23 22:18:36.000000,0.0,355.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n451,lightning-flash,PyTorchLightning/lightning-flash,,pytorch-utils,https://github.com/PyTorchLightning/lightning-flash,https://github.com/PyTorchLightning/lightning-flash,Apache-2.0,2021-01-28 18:47:16.000000,2021-12-09 14:49:54.000000,2021-12-09 13:46:56.000000,126,89.0,305.0,1308.0,726.0,Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7..,56.0,23,True,2021-11-05 15:01:01.000000,0.5.2,27.0,lightning-flash,,['pytorch'],,1508.0,36.0,36.0,https://pypi.org/project/lightning-flash,2021-11-05 15:01:01.000000,0.0,1508.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n452,bt,pmorissette/bt,,financial-data,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28.000000,2021-05-15 18:58:08.000000,2021-05-15 18:58:08.000000,290,46.0,221.0,1235.0,438.0,bt - flexible backtesting for Python.,24.0,23,True,2021-04-21 02:52:26.000000,0.2.9,25.0,bt,,,,4745.0,127.0,87.0,https://pypi.org/project/bt,2021-04-21 02:52:26.000000,40.0,4745.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n453,alibi-detect,SeldonIO/alibi-detect,,others,https://github.com/SeldonIO/alibi-detect,https://github.com/SeldonIO/alibi-detect,Apache-2.0,2019-10-07 13:29:13.000000,2021-12-09 09:29:55.000000,2021-12-08 13:27:45.000000,103,70.0,115.0,982.0,433.0,\"Algorithms for outlier, adversarial and drift detection.\",13.0,23,True,2021-10-29 10:56:10.000000,0.7.3,18.0,alibi-detect,,,,9099.0,48.0,46.0,https://pypi.org/project/alibi-detect,2021-10-29 10:53:12.000000,2.0,9099.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n454,Neural Structured Learning,tensorflow/neural-structured-learning,,tensorflow-utils,https://github.com/tensorflow/neural-structured-learning,https://github.com/tensorflow/neural-structured-learning,Apache-2.0,2019-08-27 21:48:16.000000,2021-12-06 22:50:08.000000,2021-12-06 22:50:05.000000,161,3.0,57.0,886.0,493.0,Training neural models with structured signals.,30.0,23,True,2020-08-18 00:35:35.000000,1.3.1,7.0,neural-structured-learning,,['tensorflow'],,5166.0,147.0,147.0,https://pypi.org/project/neural-structured-learning,2020-08-18 00:35:35.000000,0.0,5166.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n455,FiftyOne,voxel51/fiftyone,,data-viz,https://github.com/voxel51/fiftyone,https://github.com/voxel51/fiftyone,Apache-2.0,2020-04-22 13:43:28.000000,2021-12-09 10:50:35.000000,2021-11-30 16:18:01.000000,96,187.0,418.0,851.0,5467.0,\"Visualize, create, and debug image and video datasets and model predictions.\",20.0,23,True,2021-11-24 17:48:22.000000,0.14.2,65.0,fiftyone,,\"['tensorflow', 'pytorch', 'jupyter']\",,6540.0,57.0,57.0,https://pypi.org/project/fiftyone,2021-11-24 17:48:22.000000,0.0,6540.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n456,Madmom,CPJKU/madmom,,audio,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06.000000,2021-11-30 17:35:33.000000,2021-08-23 17:19:35.000000,145,54.0,187.0,833.0,1728.0,Python audio and music signal processing library.,20.0,23,True,2018-11-14 14:57:41.000000,0.16.1,11.0,madmom,,,,7297.0,201.0,167.0,https://pypi.org/project/madmom,2018-11-14 14:56:22.000000,34.0,7297.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n457,GPUtil,anderskm/gputil,,gpu-utilities,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43.000000,2020-10-01 05:42:49.000000,2019-08-16 09:00:15.000000,85,11.0,14.0,800.0,140.0,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,13.0,23,False,2018-12-18 09:12:13.000000,1.4.0,8.0,gputil,,,,216764.0,1720.0,1618.0,https://pypi.org/project/gputil,2018-12-18 09:12:13.000000,102.0,216764.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n458,kapre,keunwoochoi/kapre,,audio,https://github.com/keunwoochoi/kapre,https://github.com/keunwoochoi/kapre,MIT,2016-12-14 18:36:36.000000,2021-11-25 13:16:06.000000,2021-11-14 01:15:18.000000,138,12.0,81.0,793.0,193.0,kapre: Keras Audio Preprocessors.,13.0,23,True,2021-11-14 01:13:37.000000,0.3.6,22.0,kapre,,['tensorflow'],19.0,1022.0,1249.0,1227.0,https://pypi.org/project/kapre,2021-11-14 01:13:37.000000,22.0,1022.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n459,ploomber,ploomber/ploomber,,data-pipelines,https://github.com/ploomber/ploomber,https://github.com/ploomber/ploomber,Apache-2.0,2020-01-20 20:13:06.000000,2021-12-07 12:42:57.000000,2021-12-02 14:02:23.000000,64,76.0,322.0,780.0,2183.0,\"Write maintainable, production-ready pipelines using Jupyter or your favorite text editor. Develop locally, deploy to..\",23.0,23,True,2021-11-17 19:15:24.000000,0.13.6,61.0,ploomber,,,,1868.0,22.0,22.0,https://pypi.org/project/ploomber,2021-11-17 19:15:24.000000,0.0,1868.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n460,explainerdashboard,oegedijk/explainerdashboard,,interpretability,https://github.com/oegedijk/explainerdashboard,https://github.com/oegedijk/explainerdashboard,MIT,2019-10-30 08:26:16.000000,2021-12-08 13:50:00.000000,2021-12-08 13:49:58.000000,93,19.0,113.0,749.0,1224.0,Quickly build Explainable AI dashboards that show the inner workings of so-called blackbox machine learning models.,12.0,23,True,2021-10-24 19:56:57.000000,0.3.7,78.0,explainerdashboard,,,,3193.0,46.0,46.0,https://pypi.org/project/explainerdashboard,2021-10-24 19:56:57.000000,,3193.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n461,CellProfiler,CellProfiler/CellProfiler,,image,https://github.com/CellProfiler/CellProfiler,https://github.com/CellProfiler/CellProfiler,BSD-3-Clause,2011-04-05 12:10:12.000000,2021-11-22 12:29:52.000000,2021-11-05 20:24:04.000000,294,194.0,2817.0,632.0,15358.0,An open-source application for biological image analysis.,121.0,23,True,2021-07-22 19:01:42.000000,4.2.1,43.0,cellprofiler,,,1973.0,468.0,5.0,5.0,https://pypi.org/project/cellprofiler,2017-09-04 18:03:36.000000,,448.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n462,iterative-stratification,trent-b/iterative-stratification,,sklearn-utils,https://github.com/trent-b/iterative-stratification,https://github.com/trent-b/iterative-stratification,BSD-3-Clause,2018-02-04 00:32:10.000000,2021-11-11 01:20:14.000000,2021-11-11 01:20:14.000000,56,4.0,15.0,613.0,55.0,scikit-learn cross validators for iterative stratification of multilabel data.,6.0,23,True,2021-10-03 18:49:49.000000,0.1.7,6.0,iterative-stratification,,['sklearn'],,56719.0,192.0,178.0,https://pypi.org/project/iterative-stratification,2021-10-03 18:49:49.000000,14.0,56719.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n463,python-ternary,marcharper/python-ternary,,data-viz,https://github.com/marcharper/python-ternary,https://github.com/marcharper/python-ternary,MIT,2012-08-07 23:48:55.000000,2021-10-21 03:04:53.000000,2021-10-21 03:04:53.000000,127,25.0,90.0,497.0,393.0,Ternary plotting library for python with matplotlib.,27.0,23,True,2021-02-17 18:38:15.000000,1.0.8,11.0,python-ternary,conda-forge/python-ternary,,17.0,11187.0,96.0,76.0,https://pypi.org/project/python-ternary,2021-02-17 18:38:15.000000,20.0,10303.0,https://anaconda.org/conda-forge/python-ternary,2021-02-17 22:38:55.625000,60147.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n464,findspark,minrk/findspark,,others,https://github.com/minrk/findspark,https://github.com/minrk/findspark,BSD-3-Clause,2015-06-12 21:34:06.000000,2021-06-14 06:11:28.000000,2021-06-14 06:10:09.000000,66,11.0,10.0,424.0,,Find pyspark to make it importable.,14.0,23,True,2020-06-08 09:32:23.000000,1.4.2,12.0,findspark,conda-forge/findspark,['spark'],,943921.0,2307.0,2105.0,https://pypi.org/project/findspark,2020-06-08 09:32:23.000000,202.0,934890.0,https://anaconda.org/conda-forge/findspark,2018-07-06 12:57:33.438000,596069.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n465,NIPY,nipy/nipy,,medical-data,https://github.com/nipy/nipy,https://github.com/nipy/nipy,BSD-3-Clause,2010-05-02 10:00:33.000000,2021-12-05 02:53:17.000000,2021-03-29 16:56:48.000000,130,45.0,111.0,310.0,6427.0,Neuroimaging in Python FMRI analysis package.,63.0,23,True,2018-02-19 14:14:08.000000,0.4.2,6.0,nipy,conda-forge/nipy,,,2590.0,82.0,,https://pypi.org/project/nipy,2018-02-19 14:14:08.000000,82.0,909.0,https://anaconda.org/conda-forge/nipy,2020-05-04 19:38:04.112000,89138.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n466,pysparkling,svenkreiss/pysparkling,,data-pipelines,https://github.com/svenkreiss/pysparkling,https://github.com/svenkreiss/pysparkling,MIT,2015-05-09 19:23:20.000000,2021-10-31 16:40:25.000000,2021-02-22 17:29:11.000000,45,7.0,21.0,242.0,1527.0,A pure Python implementation of Apache Spark's RDD and DStream interfaces.,10.0,23,False,2021-01-10 21:15:26.000000,0.6.1,68.0,pysparkling,,,,10382.0,94.0,80.0,https://pypi.org/project/pysparkling,2021-01-10 21:15:26.000000,14.0,10382.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n467,py3nvml,fbcotter/py3nvml,,gpu-utilities,https://github.com/fbcotter/py3nvml,https://github.com/fbcotter/py3nvml,BSD-3-Clause,2016-11-21 01:07:37.000000,2021-11-22 14:30:25.000000,2021-09-06 14:45:26.000000,31,3.0,10.0,199.0,83.0,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,8.0,23,False,2021-11-22 14:30:25.000000,0.2.7,14.0,py3nvml,conda-forge/py3nvml,,,50956.0,375.0,355.0,https://pypi.org/project/py3nvml,2021-11-22 14:30:25.000000,20.0,49930.0,https://anaconda.org/conda-forge/py3nvml,2021-11-19 20:12:42.962000,23611.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n468,PyStan,stan-dev/pystan,,probabilistics,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,ISC,2017-03-06 19:56:42.094000,2021-10-27 08:33:56.000000,2021-10-21 11:47:11.000000,34,8.0,150.0,141.0,,\"PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io.\",10.0,23,False,2021-10-06 01:05:34.000000,3.3.0,65.0,pystan,conda-forge/pystan,,,956507.0,342.0,,https://pypi.org/project/pystan,2021-10-06 01:05:34.000000,342.0,933108.0,https://anaconda.org/conda-forge/pystan,2021-09-21 02:32:24.465000,1333759.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n469,cortex,cortexlabs/cortex,,model-serialisation,https://github.com/cortexlabs/cortex,https://github.com/cortexlabs/cortex,Apache-2.0,2019-01-24 04:43:14.000000,2021-12-08 02:15:29.000000,2021-12-08 01:09:13.000000,583,106.0,972.0,7620.0,2288.0,Production infrastructure for machine learning at scale.,23.0,22,True,2021-12-08 02:15:29.000000,0.41.0,61.0,cortex,,,,738.0,0.0,,https://pypi.org/project/cortex,2021-12-08 01:09:48.000000,0.0,738.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n470,Qlib,microsoft/qlib,,financial-data,https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000000,2021-12-09 02:45:25.000000,2021-12-09 02:45:25.000000,1200,121.0,247.0,7490.0,,\"Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research,..\",70.0,22,True,2021-12-07 23:37:07.000000,0.8.0,21.0,pyqlib,,['pytorch'],269.0,2727.0,7.0,7.0,https://pypi.org/project/pyqlib,2021-12-07 23:37:07.000000,,2710.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n471,vit-pytorch,lucidrains/vit-pytorch,,image,https://github.com/lucidrains/vit-pytorch,https://github.com/lucidrains/vit-pytorch,MIT,2020-10-03 22:47:24.000000,2021-12-04 04:07:18.000000,2021-12-04 04:07:18.000000,1029,72.0,79.0,7035.0,,\"Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single..\",12.0,22,True,2021-12-04 03:53:23.000000,0.24.3,102.0,vit-pytorch,,['pytorch'],,3220.0,55.0,55.0,https://pypi.org/project/vit-pytorch,2021-12-04 03:53:23.000000,0.0,3220.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n472,mmdnn,Microsoft/MMdnn,,model-serialisation,https://github.com/microsoft/MMdnn,https://github.com/microsoft/MMdnn,MIT,2017-08-16 08:03:52.000000,2021-03-01 14:17:24.000000,2020-08-14 02:32:30.000000,964,327.0,288.0,5470.0,1083.0,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,85.0,22,False,2020-07-24 06:34:39.000000,0.3.1,12.0,mmdnn,,,3473.0,748.0,69.0,66.0,https://pypi.org/project/mmdnn,2020-07-24 06:34:39.000000,3.0,678.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n473,deep-daze,lucidrains/deep-daze,,image,https://github.com/lucidrains/deep-daze,https://github.com/lucidrains/deep-daze,MIT,2021-01-17 06:00:50.000000,2021-10-19 02:59:23.000000,2021-10-19 02:58:47.000000,270,81.0,72.0,3953.0,,Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation..,13.0,22,True,2021-10-19 02:59:23.000000,0.10.3,65.0,deep-daze,,,,9105.0,32.0,32.0,https://pypi.org/project/deep-daze,2021-10-19 02:59:23.000000,,9105.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n474,Image Deduplicator,idealo/imagededup,,image,https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54.000000,2021-10-03 16:17:32.000000,2020-11-23 17:40:40.000000,331,30.0,59.0,3900.0,460.0,Finding duplicate images made easy!.,10.0,22,False,2020-11-23 17:55:24.000000,0.2.4,9.0,imagededup,,['tensorflow'],,1589.0,22.0,20.0,https://pypi.org/project/imagededup,2020-11-22 21:09:36.000000,2.0,1589.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n475,torchdiffeq,rtqichen/torchdiffeq,,pytorch-utils,https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25.000000,2021-09-22 21:49:42.000000,2021-09-22 21:49:42.000000,656,28.0,129.0,3816.0,224.0,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,20.0,22,True,2021-06-02 23:04:51.000000,0.2.2,6.0,torchdiffeq,,['pytorch'],,4728.0,177.0,177.0,https://pypi.org/project/torchdiffeq,2021-06-02 23:04:51.000000,0.0,4728.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n476,FATE,FederatedAI/FATE,,privacy-ml,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000000,2021-12-09 12:54:52.000000,2021-12-09 03:00:00.000000,1097,352.0,657.0,3740.0,9676.0,An Industrial Grade Federated Learning Framework.,68.0,22,True,2021-11-24 09:37:50.000000,1.7.0,29.0,,,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n477,ArrayFire,arrayfire/arrayfire,,gpu-utilities,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000000,2021-12-08 20:36:25.000000,2021-10-15 20:16:28.000000,492,232.0,1262.0,3681.0,5776.0,ArrayFire: a general purpose GPU library.,81.0,22,True,2021-01-08 21:41:09.000000,3.8.0,30.0,arrayfire,,,1719.0,299.0,8.0,,https://pypi.org/project/arrayfire,2021-03-05 17:36:30.000000,8.0,277.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n478,TensorTrade,tensortrade-org/tensortrade,,financial-data,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32.000000,2021-12-07 23:06:23.000000,2021-12-07 23:03:39.000000,817,25.0,170.0,3633.0,941.0,\"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.\",57.0,22,True,2021-05-10 18:04:30.000000,1.0.3,27.0,tensortrade,,,,462.0,28.0,27.0,https://pypi.org/project/tensortrade,2021-05-10 18:00:35.000000,1.0,462.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n479,AdaNet,tensorflow/adanet,,hyperopt,https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24.000000,2021-08-30 19:33:24.000000,2021-08-30 19:33:24.000000,519,65.0,47.0,3341.0,440.0,Fast and flexible AutoML with learning guarantees.,27.0,22,True,2020-07-09 21:03:28.000000,0.9.0,13.0,adanet,,['tensorflow'],,385.0,43.0,41.0,https://pypi.org/project/adanet,2020-07-09 21:03:28.000000,2.0,385.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n480,TRFL,deepmind/trfl,,reinforcement-learning,https://github.com/deepmind/trfl,https://github.com/deepmind/trfl,Apache-2.0,2018-08-08 14:44:11.000000,2021-08-16 12:19:16.000000,2021-08-16 11:45:18.000000,372,6.0,16.0,3099.0,123.0,TensorFlow Reinforcement Learning.,13.0,22,True,2021-08-16 12:19:16.000000,1.2.0,5.0,trfl,,['tensorflow'],,1702.0,72.0,68.0,https://pypi.org/project/trfl,2021-08-16 12:19:16.000000,4.0,1702.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n481,FinRL,AI4Finance-LLC/FinRL,,reinforcement-learning,https://github.com/AI4Finance-Foundation/FinRL,https://github.com/AI4Finance-Foundation/FinRL,MIT,2020-07-26 13:18:16.000000,2021-12-09 06:07:15.000000,2021-12-09 06:07:13.000000,798,103.0,143.0,2976.0,1257.0,FinRL: Financial Reinforcement Learning Framework. Please star.,49.0,22,True,2021-09-05 12:46:17.000000,0.3.1,5.0,finrl,,,,134.0,8.0,8.0,https://pypi.org/project/finrl,2021-09-05 12:46:17.000000,,134.0,,,,3.0,,,,,,,,,,,,,,,,,,AI4Finance-Foundation/FinRL,,,,,,,,\n482,SHOGUN,shogun-toolbox/shogun,,ml-frameworks,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32.000000,2021-07-19 16:40:30.000000,2020-12-08 16:56:38.000000,1047,437.0,1100.0,2857.0,16205.0,Unified and efficient Machine Learning.,248.0,22,True,2019-07-05 10:23:31.000000,shogun_6.1.4,10.0,,conda-forge/shogun,,,2080.0,,,,,,,https://anaconda.org/conda-forge/shogun,2018-06-25 20:49:17.070000,109667.0,3.0,,,shogun/shogun,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1470.0,,,,,,,,shogun,,,,,,,,,,,\n483,scikit-opt,guofei9987/scikit-opt,,sklearn-utils,https://github.com/guofei9987/scikit-opt,https://github.com/guofei9987/scikit-opt,MIT,2017-12-05 10:20:41.000000,2021-12-04 09:28:24.000000,2021-12-04 09:28:24.000000,650,26.0,98.0,2764.0,304.0,\"Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune..\",13.0,22,True,2021-06-28 12:45:52.000000,0.6.5,22.0,scikit-opt,,['sklearn'],,736.0,60.0,54.0,https://pypi.org/project/scikit-opt,2021-06-28 12:36:56.000000,6.0,736.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n484,Hummingbird,microsoft/hummingbird,,model-serialisation,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000000,2021-12-07 22:50:44.000000,2021-12-07 22:12:59.000000,204,50.0,175.0,2701.0,,Hummingbird compiles trained ML models into tensor computation for faster inference.,26.0,22,True,2021-08-31 22:55:45.000000,0.4.1,14.0,hummingbird-ml,,,147.0,1793.0,20.0,20.0,https://pypi.org/project/hummingbird-ml,2021-08-31 22:53:58.000000,,1786.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n485,Porcupine,Picovoice/Porcupine,,audio,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000000,2021-12-09 01:48:06.000000,2021-12-07 18:25:51.000000,374,12.0,336.0,2601.0,610.0,On-device wake word detection powered by deep learning.,30.0,22,True,2021-11-30 19:16:26.000000,2.0.1,21.0,pvporcupine,,,,460.0,6.0,6.0,https://pypi.org/project/pvporcupine,2021-11-30 19:16:26.000000,0.0,460.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n486,Enigma Catalyst,enigmampc/catalyst,,financial-data,https://github.com/scrtlabs/catalyst,https://github.com/scrtlabs/catalyst,Apache-2.0,2017-06-13 22:31:34.000000,2021-09-22 15:32:01.000000,2021-09-22 15:31:55.000000,671,123.0,358.0,2312.0,6364.0,An Algorithmic Trading Library for Crypto-Assets in Python.,147.0,22,True,2018-11-11 16:46:28.000000,0.5.21,52.0,enigma-catalyst,,,,421.0,25.0,23.0,https://pypi.org/project/enigma-catalyst,2018-11-11 16:46:28.000000,2.0,421.0,,,,3.0,,,,,,,,,,,,,,,,,,scrtlabs/catalyst,,,,,,,,\n487,Mars,mars-project/mars,,others,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03.000000,2021-12-09 09:02:40.000000,2021-12-09 07:58:31.000000,288,142.0,782.0,2302.0,996.0,\"Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and..\",39.0,22,True,2021-10-23 17:50:11.000000,0.7.5,100.0,pymars,,,,1627.0,0.0,,https://pypi.org/project/pymars,2021-10-23 17:50:11.000000,0.0,1627.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n488,knockknock,huggingface/knockknock,,ml-experiments,https://github.com/huggingface/knockknock,https://github.com/huggingface/knockknock,MIT,2019-03-20 13:08:55.000000,2021-09-22 02:27:34.000000,2020-03-16 04:26:47.000000,191,14.0,23.0,2298.0,75.0,Knock Knock: Get notified when your training ends with only two additional lines of code.,18.0,22,False,2020-03-04 04:15:47.000000,0.1.8,10.0,knockknock,conda-forge/knockknock,,,1731.0,229.0,226.0,https://pypi.org/project/knockknock,2020-03-16 14:30:23.000000,3.0,1413.0,https://anaconda.org/conda-forge/knockknock,2020-03-17 01:52:16.317000,8268.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n489,STUMPY,TDAmeritrade/stumpy,,time-series-data,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000000,2021-12-07 03:40:26.000000,2021-12-03 01:38:36.000000,193,31.0,240.0,2013.0,,STUMPY is a powerful and scalable Python library for modern time series analysis.,26.0,22,True,2021-11-20 21:33:28.000000,1.10.0,23.0,stumpy,conda-forge/stumpy,,,200486.0,0.0,,https://pypi.org/project/stumpy,2021-11-20 21:30:59.000000,0.0,199401.0,https://anaconda.org/conda-forge/stumpy,2021-11-20 22:08:06.805000,33644.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n490,SRU,asappresearch/sru,,pytorch-utils,https://github.com/asappresearch/sru,https://github.com/asappresearch/sru,MIT,2017-08-28 20:37:41.000000,2021-06-29 18:11:30.000000,2021-05-19 15:52:48.000000,293,54.0,67.0,2005.0,400.0,Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755).,21.0,22,True,2021-05-18 16:13:10.000000,2.6.0,32.0,sru,,['pytorch'],,2320.0,19.0,17.0,https://pypi.org/project/sru,2021-06-17 23:33:37.000000,2.0,2320.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n491,m2cgen,BayesWitnesses/m2cgen,,model-serialisation,https://github.com/BayesWitnesses/m2cgen,https://github.com/BayesWitnesses/m2cgen,MIT,2019-01-13 02:32:55.000000,2021-11-25 12:36:04.000000,2021-11-25 12:36:04.000000,161,36.0,48.0,1950.0,327.0,\"Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart,..\",12.0,22,True,2020-09-18 19:17:26.000000,0.9.0,12.0,m2cgen,,,,28377.0,7.0,7.0,https://pypi.org/project/m2cgen,2020-09-18 19:16:17.000000,,28377.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n492,aim,aimhubio/aim,,ml-experiments,https://github.com/aimhubio/aim,https://github.com/aimhubio/aim,Apache-2.0,2019-05-31 18:25:07.000000,2021-12-09 12:41:15.000000,2021-12-09 10:49:01.000000,106,110.0,171.0,1864.0,,Aim an easy-to-use and performant open-source experiment tracker.,20.0,22,True,2021-12-08 18:28:42.000000,3.2.1,106.0,aim,,,,17586.0,45.0,43.0,https://pypi.org/project/aim,2021-12-08 18:28:42.000000,2.0,17586.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n493,Pillow-SIMD,uploadcare/pillow-simd,,image,https://github.com/uploadcare/pillow-simd,https://github.com/uploadcare/pillow-simd,PIL,2014-11-12 15:33:02.000000,2021-08-02 11:34:58.000000,2020-06-02 14:50:14.000000,72,12.0,57.0,1690.0,,The friendly PIL fork.,310.0,22,False,2020-01-02 05:19:26.000000,7.0.0,35.0,pillow-simd,,,,21448.0,546.0,496.0,https://pypi.org/project/pillow-simd,2020-01-26 14:30:27.000000,50.0,21448.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n494,reformer-pytorch,lucidrains/reformer-pytorch,,pytorch-utils,https://github.com/lucidrains/reformer-pytorch,https://github.com/lucidrains/reformer-pytorch,MIT,2020-01-09 20:42:37.000000,2021-11-06 23:09:00.000000,2021-11-06 23:08:22.000000,220,13.0,104.0,1643.0,245.0,\"Reformer, the efficient Transformer, in Pytorch.\",10.0,22,True,2021-11-06 23:09:00.000000,1.4.4,139.0,reformer-pytorch,,['pytorch'],,13369.0,,,https://pypi.org/project/reformer-pytorch,2021-11-06 23:09:00.000000,,13369.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n495,Torch Points 3D,nicolas-chaulet/torch-points3d,,image,https://github.com/nicolas-chaulet/torch-points3d,https://github.com/nicolas-chaulet/torch-points3d,BSD-3-Clause,2019-12-06 11:33:34.000000,2021-12-03 15:03:10.000000,2021-11-09 18:19:21.000000,254,86.0,209.0,1618.0,1774.0,Pytorch framework for doing deep learning on point clouds.,29.0,22,True,2021-04-30 09:00:22.000000,1.3.0,14.0,torch-points3d,,['pytorch'],,562.0,4.0,4.0,https://pypi.org/project/torch-points3d,2021-04-30 09:00:22.000000,,562.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n496,pygraphistry,graphistry/pygraphistry,,graph,https://github.com/graphistry/pygraphistry,https://github.com/graphistry/pygraphistry,BSD-3-Clause,2015-06-02 20:28:42.000000,2021-12-09 01:51:58.000000,2021-12-09 01:51:58.000000,147,63.0,108.0,1503.0,818.0,\"PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated..\",19.0,22,True,2021-12-07 07:06:16.000000,0.20.5,126.0,graphistry,,['jupyter'],,652.0,56.0,52.0,https://pypi.org/project/graphistry,2021-12-07 07:06:16.000000,4.0,652.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n497,Magnitude,plasticityai/magnitude,,nn-search,https://github.com/plasticityai/magnitude,https://github.com/plasticityai/magnitude,MIT,2018-02-24 07:28:16.000000,2021-02-23 18:10:43.000000,2020-07-17 20:19:46.000000,103,29.0,51.0,1497.0,350.0,\"A fast, efficient universal vector embedding utility package.\",4.0,22,False,2020-05-25 11:26:36.000000,0.1.143,128.0,pymagnitude,,,,2835.0,225.0,211.0,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36.000000,14.0,2835.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n498,RecBole,RUCAIBox/RecBole,,recommender-systems,https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000000,2021-12-09 11:53:17.000000,2021-12-09 11:53:17.000000,242,47.0,209.0,1461.0,3378.0,\"A unified, comprehensive and efficient recommendation library.\",41.0,22,True,2021-09-16 13:45:46.000000,1.0.0,6.0,recbole,aibox/recbole,['pytorch'],,363.0,,,https://pypi.org/project/recbole,2021-09-16 13:45:46.000000,,295.0,https://anaconda.org/aibox/recbole,2021-09-16 16:45:01.892000,893.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n499,EfficientNets,rwightman/gen-efficientnet-pytorch,,pytorch-utils,https://github.com/rwightman/gen-efficientnet-pytorch,https://github.com/rwightman/gen-efficientnet-pytorch,Apache-2.0,2019-05-11 19:35:56.000000,2021-07-08 19:05:05.000000,2021-07-08 19:03:55.000000,188,2.0,49.0,1415.0,108.0,\"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.\",5.0,22,True,2021-07-08 19:05:05.000000,1.0.2,10.0,geffnet,,['pytorch'],,4332.0,84.0,84.0,https://pypi.org/project/geffnet,2021-07-08 19:05:05.000000,0.0,4332.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n500,FinTA,peerchemist/finta,,financial-data,https://github.com/peerchemist/finta,https://github.com/peerchemist/finta,LGPL-3.0,2016-09-01 21:02:46.000000,2021-10-19 18:06:53.000000,2021-10-19 18:06:53.000000,436,17.0,63.0,1371.0,392.0,Common financial technical indicators implemented in Pandas.,27.0,22,False,2021-04-03 08:51:49.000000,1.3,19.0,finta,,,,3811.0,141.0,137.0,https://pypi.org/project/finta,2020-10-21 11:39:44.000000,4.0,3811.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n501,TNT,pytorch/tnt,,ml-experiments,https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58.000000,2021-01-22 09:14:29.000000,2021-01-05 19:36:17.000000,189,30.0,35.0,1356.0,156.0,\"Simple tools for logging and visualizing, loading and training.\",35.0,22,True,2019-11-15 12:57:59.000000,0.0.5.1,3.0,torchnet,,['pytorch'],,6499.0,50.0,,https://pypi.org/project/torchnet,2018-07-29 23:16:03.000000,50.0,6499.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n502,sense2vec,explosion/sense2vec,,nlp,https://github.com/explosion/sense2vec,https://github.com/explosion/sense2vec,MIT,2016-01-23 22:15:49.000000,2021-08-16 11:44:51.000000,2021-08-16 11:44:51.000000,217,19.0,87.0,1321.0,454.0,Contextually-keyed word vectors.,17.0,22,True,2021-04-19 07:05:28.000000,3.0.0,22.0,sense2vec,conda-forge/sense2vec,,22944.0,3429.0,114.0,102.0,https://pypi.org/project/sense2vec,2021-04-19 07:05:28.000000,12.0,2028.0,https://anaconda.org/conda-forge/sense2vec,2021-07-14 13:20:19.752000,23765.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n503,pyts,johannfaouzi/pyts,,time-series-data,https://github.com/johannfaouzi/pyts,https://github.com/johannfaouzi/pyts,BSD-3-Clause,2017-07-31 09:23:16.000000,2021-12-09 13:27:33.000000,2021-12-09 13:27:29.000000,114,32.0,24.0,1115.0,,A Python package for time series classification.,10.0,22,True,2021-10-31 13:51:09.000000,0.12.0,18.0,pyts,conda-forge/pyts,,,9685.0,163.0,159.0,https://pypi.org/project/pyts,2021-10-31 13:51:09.000000,4.0,9341.0,https://anaconda.org/conda-forge/pyts,2021-10-31 15:13:32.850000,9636.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n504,gplearn,trevorstephens/gplearn,,others,https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14.000000,2021-10-18 05:33:30.000000,2021-10-18 05:33:29.000000,181,45.0,127.0,1045.0,148.0,\"Genetic Programming in Python, with a scikit-learn inspired API.\",10.0,22,True,2019-06-01 02:04:52.000000,0.4.1,5.0,gplearn,,['sklearn'],,1685.0,226.0,212.0,https://pypi.org/project/gplearn,2019-06-01 02:04:52.000000,14.0,1685.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n505,arq,samuelcolvin/arq,,data-pipelines,https://github.com/samuelcolvin/arq,https://github.com/samuelcolvin/arq,MIT,2016-07-21 18:24:42.000000,2021-12-01 08:00:32.000000,2021-10-15 19:26:51.000000,83,31.0,90.0,1025.0,314.0,Fast job queuing and RPC in python with asyncio and redis.,32.0,22,True,2021-09-02 12:45:02.000000,0.22,55.0,arq,,,,7895.0,139.0,131.0,https://pypi.org/project/arq,2021-09-02 12:46:58.000000,8.0,7895.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n506,ChainerRL,chainer/chainerrl,,reinforcement-learning,https://github.com/chainer/chainerrl,https://github.com/chainer/chainerrl,MIT,2017-01-30 04:58:15.000000,2021-08-10 18:25:48.000000,2021-04-17 06:02:30.000000,208,75.0,147.0,1006.0,3471.0,ChainerRL is a deep reinforcement learning library built on top of Chainer.,29.0,22,True,2020-02-14 05:35:56.000000,0.8.0,10.0,chainerrl,,,,314.0,120.0,106.0,https://pypi.org/project/chainerrl,2020-02-14 05:35:56.000000,14.0,314.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n507,Opacus,pytorch/opacus,,privacy-ml,https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000000,2021-12-08 18:40:51.000000,2021-12-08 18:40:48.000000,157,15.0,90.0,985.0,,Training PyTorch models with differential privacy.,39.0,22,True,2021-12-01 08:54:32.000000,1.0.0,11.0,opacus,,['pytorch'],40.0,1674.0,66.0,66.0,https://pypi.org/project/opacus,2021-12-01 08:54:32.000000,0.0,1672.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n508,minisom,JustGlowing/minisom,,others,https://github.com/JustGlowing/minisom,https://github.com/JustGlowing/minisom,CC-BY-3.0,2013-07-03 10:10:06.000000,2021-11-30 08:40:18.000000,2021-11-30 08:40:06.000000,305,10.0,83.0,972.0,460.0,MiniSom is a minimalistic implementation of the Self Organizing Maps.,23.0,22,False,2021-04-24 17:22:39.000000,2.2.9,1.0,minisom,,,,8043.0,217.0,209.0,https://pypi.org/project/minisom,2021-04-24 17:21:29.000000,8.0,8043.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n509,fastFM,ibayer/fastFM,,recommender-systems,https://github.com/ibayer/fastFM,https://github.com/ibayer/fastFM,BSD-3-Clause,2014-10-27 12:25:51.000000,2021-12-06 14:42:35.000000,2021-03-24 12:22:31.000000,190,46.0,60.0,956.0,297.0,fastFM: A Library for Factorization Machines.,20.0,22,True,2017-11-23 06:59:56.000000,0.2.11,10.0,fastfm,,,424.0,1993.0,99.0,91.0,https://pypi.org/project/fastfm,2017-11-23 06:59:56.000000,8.0,1988.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n510,stockstats,jealous/stockstats,,financial-data,https://github.com/jealous/stockstats,https://github.com/jealous/stockstats,BSD-3-Clause,2016-06-05 15:21:22.000000,2021-11-20 06:22:47.000000,2021-11-20 06:22:44.000000,243,33.0,42.0,910.0,28.0,Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.,8.0,22,True,2020-10-17 11:10:43.000000,0.3.2,14.0,stockstats,,,,5375.0,405.0,357.0,https://pypi.org/project/stockstats,2020-10-17 11:10:43.000000,48.0,5375.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n511,scikit-cuda,lebedov/scikit-cuda,,gpu-utilities,https://github.com/lebedov/scikit-cuda,https://github.com/lebedov/scikit-cuda,BSD-3-Clause,2010-09-27 02:02:07.000000,2021-07-13 12:58:06.000000,2021-07-13 12:58:06.000000,166,50.0,167.0,867.0,1032.0,Python interface to GPU-powered libraries.,45.0,22,True,2019-05-27 00:29:00.000000,0.5.3,7.0,scikit-cuda,,,,654.0,217.0,147.0,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00.000000,70.0,654.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n512,torch-scatter,rusty1s/pytorch_scatter,,pytorch-utils,https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23.000000,2021-11-13 17:38:08.000000,2021-11-13 17:38:07.000000,89,22.0,209.0,832.0,970.0,PyTorch Extension Library of Optimized Scatter Operations.,18.0,22,True,2021-10-22 11:01:13.000000,2.0.9,29.0,torch-scatter,,['pytorch'],,17671.0,32.0,,https://pypi.org/project/torch-scatter,2021-10-22 11:01:13.000000,32.0,17671.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n513,Node2Vec,eliorc/node2vec,,graph,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000000,2021-10-09 06:10:48.000000,2021-10-09 06:09:16.000000,185,1.0,67.0,817.0,64.0,Implementation of the node2vec algorithm.,9.0,22,True,2021-10-09 06:10:48.000000,0.4.4,15.0,node2vec,conda-forge/node2vec,,,38705.0,10.0,,https://pypi.org/project/node2vec,2021-10-09 06:07:52.000000,10.0,38250.0,https://anaconda.org/conda-forge/node2vec,2020-04-25 22:41:13.714000,19603.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n514,audiomentations,iver56/audiomentations,,audio,https://github.com/iver56/audiomentations,https://github.com/iver56/audiomentations,MIT,2019-02-12 16:36:24.000000,2021-11-22 14:07:17.000000,2021-11-22 14:07:11.000000,100,24.0,66.0,791.0,544.0,A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.,19.0,22,True,2021-11-18 14:29:10.000000,0.20.0,22.0,audiomentations,,,,1278.0,92.0,92.0,https://pypi.org/project/audiomentations,2021-11-18 14:29:10.000000,,1278.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n515,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,,data-viz,https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14.000000,2021-11-01 09:41:26.000000,2021-05-10 08:14:09.000000,92,26.0,66.0,734.0,289.0,Bokeh Plotting Backend for Pandas and GeoPandas.,12.0,22,True,2021-04-11 17:43:13.000000,0.5.5,16.0,pandas-bokeh,,['pandas'],,5819.0,263.0,253.0,https://pypi.org/project/pandas-bokeh,2021-04-11 17:43:13.000000,10.0,5819.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n516,Prince,MaxHalford/prince,,others,https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000000,2021-11-26 22:15:17.000000,2021-11-26 22:15:17.000000,128,34.0,67.0,733.0,194.0,\"Python factor analysis library (PCA, CA, MCA, MFA, FAMD).\",10.0,22,True,2020-10-06 11:26:47.000000,0.7.1,41.0,prince,,['sklearn'],,9003.0,171.0,165.0,https://pypi.org/project/prince,2020-10-06 11:26:47.000000,6.0,9003.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n517,gmaps,pbugnion/gmaps,,geospatial-data,https://github.com/pbugnion/gmaps,https://github.com/pbugnion/gmaps,BSD-3-Clause,2014-12-01 09:12:06.000000,2020-10-13 07:09:18.000000,2019-07-22 06:22:45.000000,143,66.0,136.0,723.0,1380.0,Google maps for Jupyter notebooks.,16.0,22,False,2019-07-21 08:49:48.715000,0.9.0,94.0,gmaps,conda-forge/gmaps,['jupyter'],,14305.0,75.0,1.0,https://pypi.org/project/gmaps,2019-07-21 08:49:39.000000,74.0,7832.0,https://anaconda.org/conda-forge/gmaps,2019-08-02 11:56:50.940000,249464.0,3.0,,,,,,,,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715000,,1938.0,,,,,,,,,,,,,\n518,scikit-multilearn,scikit-multilearn/scikit-multilearn,,sklearn-utils,https://github.com/scikit-multilearn/scikit-multilearn,https://github.com/scikit-multilearn/scikit-multilearn,BSD-2-Clause,2014-04-30 13:05:44.000000,2020-06-30 10:19:46.000000,2019-05-21 11:29:06.000000,128,72.0,94.0,705.0,487.0,A scikit-learn based module for multi-label et. al. classification.,15.0,22,False,2018-12-10 16:24:47.000000,0.2.0,6.0,scikit-multilearn,,['sklearn'],,30586.0,626.0,604.0,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47.000000,22.0,30586.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n519,Sentinelsat,sentinelsat/sentinelsat,,geospatial-data,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26.000000,2021-12-02 13:46:18.000000,2021-12-02 13:46:18.000000,194,6.0,306.0,698.0,,Search and download Copernicus Sentinel satellite images.,42.0,22,False,2021-08-19 17:37:51.000000,1.1.0,39.0,sentinelsat,,,225.0,6608.0,297.0,253.0,https://pypi.org/project/sentinelsat,2021-08-19 17:37:51.000000,44.0,6605.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n520,NeuPy,itdxer/neupy,,ml-frameworks,https://github.com/itdxer/neupy,https://github.com/itdxer/neupy,MIT,2015-08-24 19:45:11.000000,2021-09-29 17:25:21.000000,2019-09-02 19:02:38.000000,149,30.0,234.0,695.0,1145.0,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,7.0,22,False,2019-04-04 19:44:59.000000,0.8.2,34.0,neupy,,,,1581.0,128.0,117.0,https://pypi.org/project/neupy,2019-04-04 19:43:06.000000,11.0,1581.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n521,TreeInterpreter,andosa/treeinterpreter,,interpretability,https://github.com/andosa/treeinterpreter,https://github.com/andosa/treeinterpreter,BSD-3-Clause,2015-08-02 20:26:21.000000,2021-02-28 18:33:06.000000,2021-02-28 18:33:06.000000,133,24.0,4.0,687.0,37.0,Package for interpreting scikit-learn's decision tree and random forest predictions.,11.0,22,True,2021-01-10 20:12:39.000000,0.2.3,5.0,treeinterpreter,,['sklearn'],,122472.0,197.0,179.0,https://pypi.org/project/treeinterpreter,2021-01-10 20:12:39.000000,18.0,122472.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n522,Guild AI,guildai/guildai,,ml-experiments,https://github.com/guildai/guildai,https://github.com/guildai/guildai,Apache-2.0,2017-09-27 18:57:50.000000,2021-12-08 16:16:37.000000,2021-12-08 16:16:28.000000,56,119.0,174.0,644.0,4579.0,\"Experiment tracking, ML developer tools.\",18.0,22,True,2021-10-12 21:28:06.000000,0.7.4,174.0,guildai,,,,2095.0,38.0,38.0,https://pypi.org/project/guildai,2021-12-07 18:17:16.000000,,2095.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n523,PDPbox,SauceCat/PDPbox,,data-viz,https://github.com/SauceCat/PDPbox,https://github.com/SauceCat/PDPbox,MIT,2017-06-26 08:01:54.000000,2021-06-24 15:32:01.000000,2021-03-14 16:01:01.000000,102,20.0,38.0,634.0,227.0,python partial dependence plot toolbox.,7.0,22,True,2021-03-14 16:21:17.000000,0.2.1,3.0,pdpbox,conda-forge/pdpbox,,,34313.0,490.0,456.0,https://pypi.org/project/pdpbox,2021-03-14 16:21:17.000000,34.0,33960.0,https://anaconda.org/conda-forge/pdpbox,2021-03-14 19:37:51.465000,10259.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n524,pickleDB,patx/pickledb,,data-containers,https://github.com/patx/pickledb,https://github.com/patx/pickledb,BSD-3-Clause,2011-10-28 00:04:40.000000,2021-11-09 10:02:37.000000,2019-11-15 03:38:30.000000,105,22.0,39.0,621.0,105.0,pickleDB is an open source key-value store using Python's json module.,12.0,22,False,2019-01-14 18:48:25.000000,0.9.2,20.0,pickledb,,,,5121.0,896.0,784.0,https://pypi.org/project/pickledb,2019-01-14 18:48:25.000000,112.0,5121.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n525,Mapbox GL,mapbox/mapboxgl-jupyter,,geospatial-data,https://github.com/mapbox/mapboxgl-jupyter,https://github.com/mapbox/mapboxgl-jupyter,MIT,2017-08-08 15:10:51.000000,2021-10-11 17:16:45.000000,2021-04-19 05:00:36.000000,122,35.0,67.0,592.0,221.0,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,21.0,22,True,2019-06-03 21:24:10.000000,0.10.2,20.0,mapboxgl,,['jupyter'],,5369.0,141.0,123.0,https://pypi.org/project/mapboxgl,2019-06-02 15:18:57.000000,18.0,5369.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n526,AutoViz,AutoViML/AutoViz,,data-viz,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06.000000,2021-12-09 00:59:41.000000,2021-12-09 00:12:15.000000,89,4.0,34.0,558.0,110.0,\"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..\",11.0,22,True,2021-12-09 00:59:41.000000,0.1.24,36.0,autoviz,,,,8564.0,121.0,121.0,https://pypi.org/project/autoviz,2021-12-09 00:59:41.000000,0.0,8564.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n527,combo,yzhao062/combo,,sklearn-utils,https://github.com/yzhao062/combo,https://github.com/yzhao062/combo,BSD-2-Clause,2019-07-14 01:13:36.000000,2021-10-02 13:57:54.000000,2021-10-02 13:57:52.000000,92,9.0,3.0,556.0,207.0,(AAAI' 20) A Python Toolbox for Machine Learning Model Combination.,1.0,22,True,2020-12-23 02:21:49.000000,0.1.2,12.0,combo,,\"['sklearn', 'xgboost']\",,22955.0,433.0,433.0,https://pypi.org/project/combo,2020-12-23 02:21:49.000000,0.0,22955.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n528,PyTorch Sparse,rusty1s/pytorch_sparse,,pytorch-utils,https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53.000000,2021-11-13 22:13:04.000000,2021-11-13 22:13:02.000000,68,60.0,129.0,536.0,650.0,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,17.0,22,True,2021-09-08 09:32:15.000000,0.6.12,24.0,torch-sparse,,['pytorch'],,11277.0,34.0,,https://pypi.org/project/torch-sparse,2021-09-08 09:27:37.000000,34.0,11277.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n529,tinytag,devsnd/tinytag,,audio,https://github.com/devsnd/tinytag,https://github.com/devsnd/tinytag,MIT,2014-01-27 15:27:01.000000,2021-09-08 21:50:14.000000,2021-08-28 19:33:41.000000,84,15.0,69.0,492.0,329.0,\"Read music meta data and length of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA and Wave files with python 2 or 3.\",20.0,22,True,2021-08-28 19:37:31.000000,1.6.0,34.0,tinytag,,,,4608.0,542.0,446.0,https://pypi.org/project/tinytag,2021-08-28 19:37:31.000000,96.0,4608.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n530,pySBD,nipunsadvilkar/pySBD,,nlp,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20.000000,2021-04-25 08:42:15.000000,2021-02-11 16:40:18.000000,42,12.0,48.0,388.0,279.0,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,6.0,22,True,2021-02-11 16:42:37.000000,0.3.4,15.0,pysbd,,,,17685.0,254.0,250.0,https://pypi.org/project/pysbd,2021-02-11 16:36:33.000000,4.0,17685.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n531,GeoViews,holoviz/geoviews,,geospatial-data,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000000,2021-12-06 16:05:30.000000,2021-12-01 14:42:28.000000,68,102.0,188.0,375.0,670.0,\"Simple, concise geographical visualization in Python.\",25.0,22,True,2021-09-30 16:31:39.000000,1.9.2,29.0,geoviews,conda-forge/geoviews,,,5828.0,20.0,,https://pypi.org/project/geoviews,2021-09-29 14:36:26.000000,20.0,3891.0,https://anaconda.org/conda-forge/geoviews,2021-09-29 18:42:51.694000,87187.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n532,Pandas Summary,mouradmourafiq/pandas-summary,,data-containers,https://github.com/polyaxon/datatile,https://github.com/polyaxon/datatile,Apache-2.0,2016-03-25 21:59:32.000000,2021-12-02 15:32:38.000000,2021-12-02 15:32:38.000000,37,7.0,6.0,373.0,26.0,\"A library for managing, validating, summarizing, and visualizing data.\",7.0,22,True,2021-11-25 22:52:42.000000,0.2.0,10.0,pandas-summary,,['pandas'],,20764.0,92.0,2.0,https://pypi.org/project/pandas-summary,2021-11-25 22:52:42.000000,90.0,20764.0,,,,3.0,,,,,,,,,,,,,,,,,,polyaxon/datatile,,,,,,,,\n533,vega,vega/ipyvega,,data-viz,https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000000,2021-12-07 22:16:34.000000,2021-12-02 08:13:40.000000,52,14.0,81.0,316.0,541.0,IPython/Jupyter notebook module for Vega and Vega-Lite.,10.0,22,True,2021-06-03 20:52:09.000000,3.5.0,38.0,vega,conda-forge/vega,['jupyter'],,19627.0,148.0,,https://pypi.org/project/vega,2021-06-03 20:52:09.000000,148.0,12539.0,https://anaconda.org/conda-forge/vega,2021-11-18 16:21:37.805000,467829.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n534,SUOD,yzhao062/SUOD,,others,https://github.com/yzhao062/SUOD,https://github.com/yzhao062/SUOD,BSD-2-Clause,2019-11-20 00:23:54.000000,2021-10-02 14:00:14.000000,2021-10-02 14:00:01.000000,36,4.0,2.0,300.0,144.0,(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection).,1.0,22,True,2021-10-01 18:05:35.000000,0.0.8,9.0,suod,,,,14941.0,401.0,401.0,https://pypi.org/project/suod,2021-10-01 18:05:35.000000,,14941.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n535,lazypredict,shankarpandala/lazypredict,,hyperopt,https://github.com/shankarpandala/lazypredict,https://github.com/shankarpandala/lazypredict,MIT,2019-11-16 09:56:35.000000,2021-10-18 15:23:13.000000,2021-10-18 15:23:12.000000,36,29.0,30.0,264.0,195.0,Lazy Predict help build a lot of basic models without much code and helps understand which models works better without..,16.0,22,False,2021-02-17 15:38:45.000000,0.2.9,11.0,lazypredict,,['sklearn'],,3586.0,203.0,203.0,https://pypi.org/project/lazypredict,2021-02-17 15:38:45.000000,,3586.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n536,StaticFrame,InvestmentSystems/static-frame,,data-containers,https://github.com/InvestmentSystems/static-frame,https://github.com/InvestmentSystems/static-frame,MIT,2018-01-03 15:07:52.000000,2021-12-09 05:50:29.000000,2021-12-09 05:49:43.000000,23,38.0,318.0,255.0,3318.0,Immutable and grow-only Pandas-like DataFrames with a more explicit and consistent interface.,16.0,22,False,2021-12-01 17:49:53.000000,0.8.31,130.0,static-frame,conda-forge/static-frame,,,4625.0,10.0,10.0,https://pypi.org/project/static-frame,2021-12-01 17:48:13.000000,0.0,839.0,https://anaconda.org/conda-forge/static-frame,2021-12-01 20:00:21.054000,128748.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n537,stop-words,Alir3z4/python-stop-words,,nlp,https://github.com/Alir3z4/python-stop-words,https://github.com/Alir3z4/python-stop-words,BSD-3-Clause,2014-05-26 06:44:03.000000,2019-10-16 15:01:43.000000,2018-07-23 21:04:09.000000,24,3.0,9.0,134.0,90.0,Get list of common stop words in various languages in Python.,8.0,22,False,2018-07-23 20:58:34.000000,2018.7.23,8.0,stop-words,,,,110947.0,1634.0,1376.0,https://pypi.org/project/stop-words,2018-07-23 20:55:55.000000,258.0,110947.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n538,PyText,facebookresearch/pytext,,nlp,https://github.com/facebookresearch/pytext,https://github.com/facebookresearch/pytext,BSD-3-Clause,2018-07-31 23:40:46.000000,2021-12-08 23:19:53.000000,2021-12-08 23:19:50.000000,804,145.0,74.0,6265.0,,A natural language modeling framework based on PyTorch.,215.0,21,True,2020-06-08 23:30:58.000000,0.3.3,13.0,pytext-nlp,,['pytorch'],280.0,124.0,104.0,103.0,https://pypi.org/project/pytext-nlp,2020-06-08 22:49:33.000000,1.0,117.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n539,PyTorch3D,facebookresearch/pytorch3d,,image,https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,,2019-10-25 02:23:45.000000,2021-12-09 08:10:23.000000,2021-12-09 08:10:21.000000,746,71.0,762.0,5459.0,,PyTorch3D is FAIR's library of reusable components for deep learning with 3D data.,75.0,21,False,2021-10-06 13:00:09.000000,0.6.0,9.0,pytorch3d,pytorch3d/pytorch3d,['pytorch'],,5392.0,131.0,131.0,https://pypi.org/project/pytorch3d,2021-08-05 14:36:30.000000,0.0,4359.0,https://anaconda.org/pytorch3d/pytorch3d,2021-10-06 12:54:50.207000,25847.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n540,DeepMatcher,anhaidgroup/deepmatcher,,nlp,https://github.com/anhaidgroup/deepmatcher,https://github.com/anhaidgroup/deepmatcher,BSD-3-Clause,2017-12-01 19:01:11.000000,2021-06-13 01:13:43.000000,2021-06-13 00:22:13.000000,1461,54.0,22.0,3918.0,176.0,Python package for performing Entity and Text Matching using Deep Learning.,7.0,21,True,2021-05-27 22:28:29.000000,0.1.2,13.0,deepmatcher,,,,360.0,14.0,14.0,https://pypi.org/project/deepmatcher,2021-06-13 01:13:24.000000,,360.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n541,NeMo,NVIDIA/NeMo,,nlp,https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000000,2021-12-09 09:41:46.000000,2021-12-08 17:25:00.000000,794,56.0,820.0,3639.0,,NeMo: a toolkit for conversational AI.,119.0,21,True,2021-12-04 00:12:07.000000,1.5.1,45.0,nemo-toolkit,,['pytorch'],15773.0,3480.0,4.0,,https://pypi.org/project/nemo-toolkit,2021-12-04 00:12:07.000000,4.0,2896.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n542,MatchZoo,NTMC-Community/MatchZoo,,nlp,https://github.com/NTMC-Community/MatchZoo,https://github.com/NTMC-Community/MatchZoo,Apache-2.0,2017-06-08 08:55:22.000000,2021-06-03 02:58:49.000000,2021-06-02 17:38:16.000000,908,28.0,429.0,3564.0,1810.0,\"Facilitating the design, comparison and sharing of deep text matching models.\",36.0,21,True,2019-10-24 13:09:11.000000,2.2.0,5.0,matchzoo,,['tensorflow'],,74.0,10.0,10.0,https://pypi.org/project/matchzoo,2019-10-24 13:09:11.000000,,74.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n543,TensorWatch,microsoft/tensorwatch,,ml-experiments,https://github.com/microsoft/tensorwatch,https://github.com/microsoft/tensorwatch,MIT,2019-05-15 08:29:34.000000,2021-04-13 09:44:02.000000,2021-01-15 19:46:05.000000,336,50.0,15.0,3189.0,112.0,\"Debugging, monitoring and visualization for Python Machine Learning and Data Science.\",13.0,21,True,2020-03-04 07:26:22.000000,0.9.1,14.0,tensorwatch,,,,5144.0,70.0,64.0,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22.000000,6.0,5144.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n544,gpt-2-simple,minimaxir/gpt-2-simple,,nlp,https://github.com/minimaxir/gpt-2-simple,https://github.com/minimaxir/gpt-2-simple,MIT,2019-04-13 20:00:52.000000,2021-10-18 02:38:38.000000,2021-10-18 01:45:21.000000,591,151.0,93.0,2826.0,143.0,Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts.,18.0,21,True,2021-10-18 02:38:39.000000,0.8.1,18.0,gpt-2-simple,,['tensorflow'],280.0,3393.0,6.0,,https://pypi.org/project/gpt-2-simple,2021-10-18 01:47:20.000000,6.0,3385.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n545,Texthero,jbesomi/texthero,,nlp,https://github.com/jbesomi/texthero,https://github.com/jbesomi/texthero,MIT,2020-04-06 15:16:05.000000,2021-07-19 13:56:08.000000,2021-07-19 13:56:08.000000,204,76.0,59.0,2399.0,269.0,\"Text preprocessing, representation and visualization from zero to hero.\",18.0,21,True,2021-07-01 17:11:02.000000,1.1.0,10.0,texthero,,,87.0,8433.0,0.0,,https://pypi.org/project/texthero,2021-07-01 17:11:02.000000,0.0,8429.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n546,DeepVariant,google/deepvariant,,medical-data,https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000000,2021-12-05 06:03:17.000000,2021-12-05 06:01:00.000000,574,3.0,443.0,2390.0,1746.0,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,20.0,21,True,2021-07-29 16:59:05.000000,1.2.0,16.0,,bioconda/deepvariant,['tensorflow'],3589.0,834.0,,,,,,,https://anaconda.org/bioconda/deepvariant,2021-07-30 23:35:30.579000,35721.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n547,PARL,PaddlePaddle/PARL,,reinforcement-learning,https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22.000000,2021-12-06 11:14:49.000000,2021-12-06 11:14:38.000000,592,59.0,221.0,2334.0,1.0,A high-performance distributed training framework for Reinforcement Learning.,28.0,21,True,2021-07-08 13:09:56.000000,2.0.2,22.0,parl,,['paddle'],,401.0,83.0,83.0,https://pypi.org/project/parl,2021-07-08 13:09:56.000000,,401.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n548,Texar,asyml/texar,,nlp,https://github.com/asyml/texar,https://github.com/asyml/texar,Apache-2.0,2017-07-22 19:02:05.000000,2021-08-26 09:49:50.000000,2020-07-29 00:38:30.000000,357,33.0,126.0,2232.0,1719.0,\"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the..\",43.0,21,False,2019-11-19 04:11:18.000000,0.2.4,6.0,texar,,['tensorflow'],,42.0,19.0,17.0,https://pypi.org/project/texar,2019-11-19 04:11:18.000000,2.0,42.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n549,DDSP,magenta/ddsp,,audio,https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27.000000,2021-12-06 22:26:58.000000,2021-12-06 22:26:09.000000,213,21.0,105.0,2012.0,,DDSP: Differentiable Digital Signal Processing.,29.0,21,True,2021-12-06 22:26:58.000000,1.7.1,39.0,ddsp,,['tensorflow'],,833.0,18.0,18.0,https://pypi.org/project/ddsp,2021-12-06 22:26:58.000000,,833.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n550,Sweetviz,fbdesignpro/sweetviz,,data-viz,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47.000000,2021-10-01 14:11:39.000000,2021-07-08 14:31:20.000000,183,27.0,69.0,1841.0,102.0,\"Visualize and compare datasets, target values and associations, with one line of code.\",6.0,21,True,2021-07-08 14:32:09.000000,2.1.3,31.0,sweetviz,,,,28439.0,0.0,,https://pypi.org/project/sweetviz,2021-07-08 14:32:09.000000,0.0,28439.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n551,Neural Tangents,google/neural-tangents,,ml-frameworks,https://github.com/google/neural-tangents,https://github.com/google/neural-tangents,Apache-2.0,2019-04-08 16:48:48.000000,2021-11-18 18:42:10.000000,2021-11-18 18:42:05.000000,182,31.0,71.0,1612.0,,Fast and Easy Infinite Neural Networks in Python.,21.0,21,True,2021-11-17 06:35:11.000000,0.3.9,23.0,neural-tangents,,,183.0,352.0,26.0,26.0,https://pypi.org/project/neural-tangents,2021-11-17 06:30:38.000000,0.0,342.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n552,lore,instacart/lore,,ml-experiments,https://github.com/instacart/lore,https://github.com/instacart/lore,MIT,2017-10-19 21:51:45.000000,2021-11-22 20:05:31.000000,2020-05-11 22:26:45.000000,122,16.0,18.0,1535.0,270.0,Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers.,22.0,21,False,2020-05-11 22:28:23.000000,0.8.4,231.0,lore,,,,526.0,17.0,16.0,https://pypi.org/project/lore,2020-05-11 22:28:23.000000,1.0,526.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n553,TabNet,dreamquark-ai/tabnet,,pytorch-utils,https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000000,2021-11-12 19:33:57.000000,2021-11-12 19:32:28.000000,288,40.0,160.0,1446.0,168.0,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,18.0,21,True,2021-02-02 08:05:11.000000,3.1.1,17.0,pytorch-tabnet,,['pytorch'],,17077.0,0.0,,https://pypi.org/project/pytorch-tabnet,2021-02-02 08:05:11.000000,0.0,17077.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n554,FARM,deepset-ai/FARM,,nlp,https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12.000000,2021-11-23 16:56:58.000000,2021-11-23 16:56:58.000000,209,38.0,380.0,1426.0,592.0,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,36.0,21,True,2021-06-10 09:45:12.000000,0.8.0,24.0,farm,,['pytorch'],,3351.0,2.0,,https://pypi.org/project/farm,2021-06-10 09:41:53.000000,2.0,3351.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n555,datatable,h2oai/datatable,,data-containers,https://github.com/h2oai/datatable,https://github.com/h2oai/datatable,MPL-2.0,2017-03-03 02:32:59.000000,2021-12-08 10:17:37.000000,2021-12-08 04:39:35.000000,123,139.0,1246.0,1415.0,,A Python package for manipulating 2-dimensional tabular data structures.,32.0,21,True,2021-07-02 00:15:35.000000,1.0.0,16.0,datatable,,,1197.0,53852.0,6.0,,https://pypi.org/project/datatable,2021-07-01 23:36:34.000000,6.0,53829.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n556,jiant,nyu-mll/jiant,,nlp,https://github.com/nyu-mll/jiant,https://github.com/nyu-mll/jiant,MIT,2018-06-18 18:12:47.000000,2021-10-17 21:26:07.000000,2021-10-17 21:25:23.000000,262,62.0,484.0,1353.0,1921.0,jiant is an nlp toolkit.,56.0,21,True,2021-05-10 18:56:39.000000,2.2.0,19.0,jiant,,,,186.0,2.0,2.0,https://pypi.org/project/jiant,2021-05-10 18:56:39.000000,,186.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n557,lightly,lightly-ai/lightly,,image,https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000000,2021-12-09 13:25:00.000000,2021-12-07 14:58:02.000000,86,60.0,229.0,1339.0,566.0,A python library for self-supervised learning on images.,14.0,21,True,2021-12-01 16:05:36.000000,1.2.0,36.0,lightly,,['pytorch'],,1068.0,25.0,25.0,https://pypi.org/project/lightly,2021-12-01 16:08:58.000000,0.0,1068.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n558,Pypeline,cgarciae/pypeln,,data-pipelines,https://github.com/cgarciae/pypeln,https://github.com/cgarciae/pypeln,MIT,2018-09-01 13:43:31.000000,2021-05-01 11:58:40.000000,2021-04-13 00:55:39.000000,73,14.0,38.0,1291.0,235.0,Concurrent data pipelines in Python .,10.0,21,True,2021-01-05 18:00:06.000000,0.4.7,34.0,pypeln,,,,8500.0,10.0,,https://pypi.org/project/pypeln,2021-01-05 18:00:06.000000,10.0,8500.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n559,NiftyNet,NifTK/NiftyNet,,medical-data,https://github.com/NifTK/NiftyNet,https://github.com/NifTK/NiftyNet,Apache-2.0,2017-08-30 07:55:43.000000,2020-04-21 19:54:52.000000,2020-04-21 19:54:51.000000,386,102.0,224.0,1290.0,2848.0,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,58.0,21,False,2019-10-10 10:59:33.000000,0.6.0,11.0,niftynet,,['tensorflow'],,66.0,38.0,37.0,https://pypi.org/project/niftynet,2019-10-10 10:59:33.000000,1.0,66.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n560,Higher,facebookresearch/higher,,pytorch-utils,https://github.com/facebookresearch/higher,https://github.com/facebookresearch/higher,Apache-2.0,2019-09-06 18:58:36.000000,2021-11-30 14:53:11.000000,2021-10-26 07:08:33.000000,94,44.0,50.0,1289.0,,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,9.0,21,True,2020-07-14 12:20:32.000000,0.2.1,2.0,higher,,['pytorch'],,27657.0,101.0,101.0,https://pypi.org/project/higher,2020-07-14 12:20:32.000000,0.0,27657.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n561,Paddle Graph Learning,PaddlePaddle/PGL,,graph,https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28.000000,2021-12-08 14:38:29.000000,2021-12-08 14:38:29.000000,184,39.0,61.0,1166.0,,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,21.0,21,True,2021-07-10 15:12:05.000000,2.1.5,13.0,pgl,,['paddle'],,395.0,24.0,22.0,https://pypi.org/project/pgl,2021-07-10 15:12:05.000000,2.0,395.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n562,fairlearn,fairlearn/fairlearn,,interpretability,https://github.com/fairlearn/fairlearn,https://github.com/fairlearn/fairlearn,MIT,2018-05-15 01:51:35.000000,2021-12-09 08:00:42.000000,2021-12-08 09:47:07.000000,266,134.0,198.0,1136.0,,A Python package to assess and improve fairness of machine learning models.,61.0,21,True,2021-07-07 08:16:09.000000,0.7.0,16.0,fairlearn,conda-forge/fairlearn,['sklearn'],,16879.0,2.0,,https://pypi.org/project/fairlearn,2021-07-07 05:54:23.000000,2.0,16138.0,https://anaconda.org/conda-forge/fairlearn,2021-07-07 15:56:16.605000,16311.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n563,TaskTiger,closeio/tasktiger,,data-pipelines,https://github.com/closeio/tasktiger,https://github.com/closeio/tasktiger,MIT,2015-05-14 00:26:32.000000,2021-12-02 18:08:25.000000,2021-12-02 17:40:09.000000,62,33.0,35.0,1100.0,273.0,Python task queue using Redis.,25.0,21,True,2021-12-02 17:42:13.000000,0.16,26.0,tasktiger,,,,1053.0,39.0,21.0,https://pypi.org/project/tasktiger,2021-12-02 18:08:25.000000,18.0,1053.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n564,SciSpacy,allenai/scispacy,,nlp,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52.000000,2021-09-08 22:25:11.000000,2021-07-15 18:43:58.000000,142,35.0,194.0,1059.0,,A full spaCy pipeline and models for scientific/biomedical documents.,21.0,21,True,2021-02-12 22:56:06.000000,0.4.0,10.0,scispacy,,,,11736.0,377.0,365.0,https://pypi.org/project/scispacy,2021-02-12 22:56:06.000000,12.0,11736.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n565,Explainability 360,Trusted-AI/AIX360,,interpretability,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48.000000,2021-10-12 06:36:29.000000,2021-10-12 06:35:26.000000,209,38.0,25.0,1003.0,316.0,Interpretability and explainability of data and machine learning models.,29.0,21,True,2020-10-28 09:32:21.000000,0.2.1,4.0,aix360,,,,597.0,37.0,36.0,https://pypi.org/project/aix360,2020-10-28 09:18:17.000000,1.0,597.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n566,luminol,linkedin/luminol,,time-series-data,https://github.com/linkedin/luminol,https://github.com/linkedin/luminol,Apache-2.0,2015-11-18 23:16:33.000000,2020-12-27 09:54:35.000000,2018-01-09 07:46:55.000000,192,31.0,12.0,981.0,69.0,Anomaly Detection and Correlation library.,8.0,21,False,2016-01-20 01:01:44.000000,0.3.1,5.0,luminol,,,,19111.0,75.0,47.0,https://pypi.org/project/luminol,2017-12-11 06:04:15.000000,28.0,19111.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n567,TFEncrypted,tf-encrypted/tf-encrypted,,privacy-ml,https://github.com/tf-encrypted/tf-encrypted,https://github.com/tf-encrypted/tf-encrypted,Apache-2.0,2018-03-21 18:22:13.000000,2021-04-21 08:39:31.000000,2020-08-19 16:56:56.000000,170,173.0,235.0,961.0,595.0,A Framework for Encrypted Machine Learning in TensorFlow.,28.0,21,False,2019-09-27 20:00:01.000000,0.5.9,35.0,tf-encrypted,,['tensorflow'],,354.0,74.0,58.0,https://pypi.org/project/tf-encrypted,2019-10-21 18:05:53.000000,16.0,354.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n568,keras-ocr,faustomorales/keras-ocr,,ocr,https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50.000000,2021-11-24 10:16:01.000000,2021-11-24 10:01:11.000000,239,47.0,104.0,953.0,184.0,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,12.0,21,True,2021-11-24 10:05:08.000000,0.8.9,29.0,keras-ocr,,['tensorflow'],195756.0,15941.0,2.0,,https://pypi.org/project/keras-ocr,2021-11-24 10:05:08.000000,2.0,2891.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n569,geoplotlib,andrea-cuttone/geoplotlib,,geospatial-data,https://github.com/andrea-cuttone/geoplotlib,https://github.com/andrea-cuttone/geoplotlib,MIT,2015-02-24 13:13:07.000000,2021-10-20 12:00:24.000000,2019-05-06 07:06:50.000000,155,30.0,18.0,939.0,159.0,python toolbox for visualizing geographical data and making maps.,8.0,21,False,2016-07-27 14:55:01.000000,0.3.2,4.0,geoplotlib,,,,773.0,135.0,124.0,https://pypi.org/project/geoplotlib,2016-07-27 14:55:01.000000,11.0,773.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n570,tf-explain,sicara/tf-explain,,interpretability,https://github.com/sicara/tf-explain,https://github.com/sicara/tf-explain,MIT,2019-07-15 08:26:24.000000,2021-11-30 09:54:42.000000,2021-11-30 09:54:40.000000,89,39.0,49.0,886.0,206.0,Interpretability Methods for tf.keras models with Tensorflow 2.x.,16.0,21,True,2021-11-18 20:57:29.000000,0.3.1,8.0,tf-explain,,['tensorflow'],,858.0,94.0,92.0,https://pypi.org/project/tf-explain,2021-11-18 20:57:29.000000,2.0,858.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n571,attention-ocr,emedvedev/attention-ocr,,ocr,https://github.com/emedvedev/attention-ocr,https://github.com/emedvedev/attention-ocr,MIT,2017-07-21 18:35:19.000000,2021-10-29 14:44:11.000000,2021-10-29 14:44:08.000000,240,22.0,126.0,881.0,205.0,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,27.0,21,True,2020-10-12 06:56:40.000000,0.7.6,21.0,aocr,,['tensorflow'],,186.0,18.0,18.0,https://pypi.org/project/aocr,2019-04-19 05:28:27.000000,,186.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n572,nude.py,hhatto/nude.py,,image,https://github.com/hhatto/nude.py,https://github.com/hhatto/nude.py,MIT,2013-06-09 06:55:55.000000,2020-11-23 13:49:32.000000,2020-11-23 13:49:02.000000,132,7.0,3.0,825.0,79.0,Nudity detection with Python.,12.0,21,False,2020-11-23 13:49:17.000000,0.5.1,10.0,nudepy,,,,3608.0,1324.0,1306.0,https://pypi.org/project/nudepy,2020-11-23 13:49:17.000000,18.0,3608.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n573,YouTokenToMe,vkcom/youtokentome,,nlp,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28.000000,2021-01-28 23:05:01.000000,2021-01-28 19:04:09.000000,57,28.0,23.0,780.0,79.0,Unsupervised text tokenizer focused on computational efficiency.,6.0,21,True,2020-02-13 09:57:47.000000,1.0.6,14.0,youtokentome,,,,12130.0,193.0,181.0,https://pypi.org/project/youtokentome,2020-02-12 18:24:46.000000,12.0,12130.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n574,Satpy,pytroll/satpy,,geospatial-data,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000000,2021-12-09 13:07:06.000000,2021-12-08 21:31:55.000000,224,359.0,414.0,778.0,,Python package for earth-observing satellite data processing.,120.0,21,False,2021-12-01 13:09:19.000000,0.32.0,72.0,satpy,conda-forge/satpy,,,3292.0,60.0,54.0,https://pypi.org/project/satpy,2021-12-01 13:09:19.000000,6.0,1364.0,https://anaconda.org/conda-forge/satpy,2021-12-01 15:27:08.136000,79050.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n575,lets-plot,JetBrains/lets-plot,,data-viz,https://github.com/JetBrains/lets-plot,https://github.com/JetBrains/lets-plot,MIT,2019-03-20 16:13:03.000000,2021-12-09 13:40:58.000000,2021-12-09 13:40:56.000000,31,75.0,147.0,702.0,2303.0,An open-source plotting library for statistical data.,16.0,21,True,2021-10-29 19:15:50.000000,2.2.0,44.0,lets-plot,,,136.0,946.0,12.0,12.0,https://pypi.org/project/lets-plot,2021-12-06 22:37:16.000000,0.0,941.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n576,scikit-lego,koaning/scikit-lego,,sklearn-utils,https://github.com/koaning/scikit-lego,https://github.com/koaning/scikit-lego,MIT,2019-01-21 15:30:15.000000,2021-12-09 11:40:28.000000,2021-12-09 11:40:28.000000,76,32.0,200.0,654.0,,Extra blocks for scikit-learn pipelines.,48.0,21,True,2021-12-09 11:34:28.000000,0.6.9,35.0,scikit-lego,conda-forge/scikit-lego,['sklearn'],,14195.0,38.0,38.0,https://pypi.org/project/scikit-lego,2021-12-09 11:39:03.000000,0.0,13572.0,https://anaconda.org/conda-forge/scikit-lego,2021-07-03 14:39:23.330000,16200.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n577,pdpipe,pdpipe/pdpipe,,data-pipelines,https://github.com/pdpipe/pdpipe,https://github.com/pdpipe/pdpipe,MIT,2017-01-24 20:37:22.000000,2021-12-08 10:42:05.000000,2021-12-08 10:40:51.000000,30,15.0,22.0,628.0,368.0,Easy pipelines for pandas DataFrames.,9.0,21,True,2021-12-08 10:42:43.000000,0.0.68,64.0,pdpipe,,['pandas'],,1267.0,38.0,38.0,https://pypi.org/project/pdpipe,2021-12-08 10:42:05.000000,0.0,1267.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n578,TensorBoard Logger,TeamHG-Memex/tensorboard_logger,,ml-experiments,https://github.com/TeamHG-Memex/tensorboard_logger,https://github.com/TeamHG-Memex/tensorboard_logger,MIT,2016-10-27 14:02:25.000000,2021-11-15 17:46:29.000000,2019-10-21 07:52:07.000000,51,11.0,15.0,620.0,46.0,Log TensorBoard events without touching TensorFlow.,5.0,21,False,2018-02-08 07:28:51.000000,0.1.0,5.0,tensorboard_logger,,,,27149.0,96.0,,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51.000000,96.0,27149.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n579,nnAudio,KinWaiCheuk/nnAudio,,audio,https://github.com/KinWaiCheuk/nnAudio,https://github.com/KinWaiCheuk/nnAudio,MIT,2019-09-02 04:31:14.000000,2021-12-03 15:01:51.000000,2021-12-03 15:01:51.000000,61,10.0,37.0,609.0,277.0,Audio processing by using pytorch 1D convolution network.,13.0,21,True,2021-11-19 13:09:35.000000,0.3.0,37.0,nnAudio,,,,1161.0,37.0,37.0,https://pypi.org/project/nnAudio,2021-11-19 13:09:35.000000,0.0,1161.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n580,HpBandSter,automl/HpBandSter,,hyperopt,https://github.com/automl/HpBandSter,https://github.com/automl/HpBandSter,BSD-3-Clause,2017-12-17 20:28:20.000000,2021-01-31 10:05:37.000000,2019-03-26 09:26:28.000000,107,57.0,35.0,503.0,187.0,a distributed Hyperband implementation on Steroids.,11.0,21,False,2019-07-30 12:47:43.000000,1.0,8.0,hpbandster,,,,19483.0,200.0,184.0,https://pypi.org/project/hpbandster,2018-11-06 12:56:55.000000,16.0,19483.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n581,Neuraxle,Neuraxio/Neuraxle,,hyperopt,https://github.com/Neuraxio/Neuraxle,https://github.com/Neuraxio/Neuraxle,Apache-2.0,2019-03-26 21:01:54.000000,2021-12-07 22:31:57.000000,2021-11-01 21:10:39.000000,52,142.0,181.0,486.0,1593.0,A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right..,7.0,21,True,2021-10-17 21:12:29.000000,0.6.1,22.0,neuraxle,,,,150.0,24.0,24.0,https://pypi.org/project/neuraxle,2021-10-17 21:07:02.000000,0.0,150.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n582,random-forest-importances,parrt/random-forest-importances,,interpretability,https://github.com/parrt/random-forest-importances,https://github.com/parrt/random-forest-importances,MIT,2018-03-22 19:20:13.000000,2021-01-30 21:50:08.000000,2021-01-30 21:50:02.000000,107,6.0,28.0,485.0,249.0,Code to compute permutation and drop-column importances in Python scikit-learn models.,14.0,21,True,2021-01-28 23:23:17.000000,1.3.7,22.0,rfpimp,,['sklearn'],,9224.0,91.0,87.0,https://pypi.org/project/rfpimp,2021-01-28 23:19:33.000000,4.0,9224.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n583,PyWaffle,gyli/PyWaffle,,data-viz,https://github.com/gyli/PyWaffle,https://github.com/gyli/PyWaffle,MIT,2017-11-14 20:03:47.000000,2021-09-29 23:50:34.000000,2021-07-28 14:49:15.000000,79,3.0,11.0,459.0,254.0,Make Waffle Charts in Python.,6.0,21,True,2021-07-28 01:11:09.000000,0.6.3,24.0,pywaffle,,,,1135.0,100.0,100.0,https://pypi.org/project/pywaffle,2021-07-28 01:11:09.000000,0.0,1135.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n584,pivottablejs,nicolaskruchten/jupyter_pivottablejs,,data-viz,https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,MIT,2015-09-09 13:39:18.000000,2018-12-04 14:43:26.000000,2018-12-04 14:43:25.000000,61,16.0,40.0,452.0,32.0,\"Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js.\",3.0,21,False,2018-01-15 18:14:37.000000,0.9.0,10.0,pivottablejs,,['jupyter'],,8390.0,239.0,205.0,https://pypi.org/project/pivottablejs,2018-01-15 18:14:37.000000,34.0,8390.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n585,optunity,claesenm/optunity,,hyperopt,https://github.com/claesenm/optunity,https://github.com/claesenm/optunity,BSD-3-Clause,2014-05-28 17:29:11.000000,2020-05-11 14:32:39.000000,2020-05-11 14:32:38.000000,73,47.0,48.0,378.0,782.0,optimization routines for hyperparameter tuning.,9.0,21,False,2015-09-30 05:02:00.000000,1.1.1,6.0,optunity,,,67.0,8295.0,92.0,68.0,https://pypi.org/project/optunity,2015-09-30 05:02:00.000000,24.0,8295.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n586,MXBoard,awslabs/mxboard,,ml-experiments,https://github.com/awslabs/mxboard,https://github.com/awslabs/mxboard,Apache-2.0,2018-02-06 23:03:51.000000,2021-11-30 10:46:24.000000,2020-01-24 23:21:55.000000,47,16.0,15.0,333.0,42.0,Logging MXNet data for visualization in TensorBoard.,9.0,21,False,2018-05-22 20:25:51.000000,0.1.0,12.0,mxboard,,['mxnet'],,11203.0,137.0,125.0,https://pypi.org/project/mxboard,2018-05-22 20:25:51.000000,12.0,11203.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n587,Hyperactive,SimonBlanke/Hyperactive,,hyperopt,https://github.com/SimonBlanke/Hyperactive,https://github.com/SimonBlanke/Hyperactive,MIT,2018-11-01 08:53:30.000000,2021-12-08 15:34:58.000000,2021-12-08 14:43:34.000000,32,7.0,33.0,322.0,2054.0,An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.,4.0,21,True,2021-12-05 15:03:12.000000,4.0.2,63.0,hyperactive,,,97.0,933.0,10.0,10.0,https://pypi.org/project/hyperactive,2021-12-05 15:03:12.000000,0.0,930.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n588,EarthPy,earthlab/earthpy,,geospatial-data,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000000,2021-12-01 01:34:26.000000,2021-10-11 19:46:23.000000,123,16.0,207.0,304.0,,A package built to support working with spatial data using open source python.,40.0,21,True,2021-10-01 22:51:04.000000,0.9.4,23.0,earthpy,conda-forge/earthpy,,,3928.0,119.0,113.0,https://pypi.org/project/earthpy,2021-10-01 22:51:04.000000,6.0,2692.0,https://anaconda.org/conda-forge/earthpy,2021-10-04 19:35:49.510000,39583.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n589,impyute,eltonlaw/impyute,,others,https://github.com/eltonlaw/impyute,https://github.com/eltonlaw/impyute,MIT,2017-01-21 09:16:27.000000,2021-11-06 21:15:04.000000,2021-11-06 21:15:04.000000,43,27.0,37.0,299.0,292.0,Data imputations library to preprocess datasets with missing data.,11.0,21,False,2019-04-29 02:31:32.000000,0.0.8,8.0,impyute,,,,1345.0,124.0,120.0,https://pypi.org/project/impyute,2019-04-29 02:31:32.000000,4.0,1345.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n590,huggingface_hub,huggingface/huggingface_hub,,model-serialisation,https://github.com/huggingface/huggingface_hub,https://github.com/huggingface/huggingface_hub,Apache-2.0,2020-12-22 10:20:28.000000,2021-12-09 13:58:07.000000,2021-12-09 09:59:23.000000,61,88.0,83.0,290.0,,All the open source things related to the Hugging Face Hub.,47.0,21,False,2021-12-03 08:02:59.000000,0.2.1,24.0,huggingface_hub,conda-forge/huggingface_hub,,,1258408.0,0.0,,https://pypi.org/project/huggingface_hub,2021-12-03 08:02:59.000000,0.0,1256267.0,https://anaconda.org/conda-forge/huggingface_hub,2021-12-03 12:55:49.145000,21415.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n591,nvidia-ml-py3,nicolargo/nvidia-ml-py3,,gpu-utilities,https://github.com/nicolargo/nvidia-ml-py3,https://github.com/nicolargo/nvidia-ml-py3,BSD-3-Clause,2017-06-03 07:47:03.000000,2019-03-06 20:41:10.000000,2019-03-06 20:41:09.000000,49,2.0,,71.0,5.0,Python 3 Bindings for the NVIDIA Management Library.,2.0,21,False,2017-06-03 07:43:46.000000,7.352.0,1.0,nvidia-ml-py3,,,,477248.0,4796.0,4576.0,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46.000000,220.0,477248.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n592,Dejavu,worldveil/dejavu,,audio,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35.000000,2020-10-29 17:40:17.000000,2020-06-03 05:58:03.000000,1250,84.0,129.0,5604.0,146.0,Audio fingerprinting and recognition in Python.,23.0,20,False,2015-04-19 21:20:16.000000,0.1.3,4.0,PyDejavu,,,,70.0,22.0,19.0,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16.000000,3.0,70.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n593,MMF,facebookresearch/mmf,,image,https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40.000000,2021-12-08 22:29:33.000000,2021-12-08 20:22:09.000000,776,189.0,416.0,4697.0,,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,89.0,20,True,2019-08-26 19:04:21.000000,0.3.1,12.0,mmf,,['pytorch'],,272.0,10.0,10.0,https://pypi.org/project/mmf,2020-06-12 22:15:02.000000,0.0,272.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n594,mace,XiaoMi/mace,,ml-frameworks,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12.000000,2021-12-06 07:43:58.000000,2021-12-06 07:43:40.000000,773,41.0,612.0,4531.0,3306.0,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,63.0,20,True,2021-03-18 10:07:32.000000,1.0.4,11.0,,,,1388.0,34.0,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n595,cuDF,rapidsai/cudf,,gpu-utilities,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000000,2021-12-09 14:48:20.000000,2021-12-09 07:19:50.000000,566,643.0,3571.0,4353.0,,cuDF - GPU DataFrame Library.,226.0,20,True,2021-12-03 19:17:01.000000,21.12.00,19.0,cudf,,,,600.0,4.0,,https://pypi.org/project/cudf,2020-06-01 20:07:47.000000,4.0,600.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n596,MindsDB,mindsdb/mindsdb,,ml-frameworks,https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,GPL-3.0,2018-08-02 17:56:45.000000,2021-12-09 13:24:44.000000,2021-12-09 13:24:44.000000,548,84.0,697.0,4169.0,,Predictive AI layer for existing databases.,89.0,20,False,2021-11-22 11:23:27.000000,2.58.3,78.0,mindsdb,,['pytorch'],,4451.0,6.0,,https://pypi.org/project/mindsdb,2019-03-19 05:07:23.000000,6.0,4451.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n597,AugLy,facebookresearch/AugLy,,others,https://github.com/facebookresearch/AugLy,https://github.com/facebookresearch/AugLy,MIT,2021-06-09 17:57:28.000000,2021-12-08 23:46:32.000000,2021-12-08 21:53:11.000000,206,20.0,39.0,4022.0,,\"A data augmentations library for audio, image, text, and video.\",13.0,20,True,2021-10-18 20:48:05.000000,0.1.10,15.0,augly,,,,838.0,20.0,20.0,https://pypi.org/project/augly,2021-10-18 18:20:59.000000,0.0,838.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n598,Coqui TTS,coqui-ai/TTS,,audio,https://github.com/coqui-ai/TTS,https://github.com/coqui-ai/TTS,MPL-2.0,2020-05-20 15:45:28.000000,2021-12-09 13:17:46.000000,2021-12-08 15:41:44.000000,232,21.0,167.0,2903.0,,\"- a deep learning toolkit for Text-to-Speech, battle-tested in research and production.\",81.0,20,True,2021-12-08 15:42:51.000000,0.4.2,20.0,tts,,\"['pytorch', 'tensorflow']\",46895.0,6599.0,,,https://pypi.org/project/tts,2017-07-14 20:02:42.000000,,1389.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n599,finmarketpy,cuemacro/finmarketpy,,financial-data,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03.000000,2021-10-07 14:58:03.000000,2021-10-07 14:55:28.000000,448,23.0,3.0,2785.0,678.0,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,14.0,20,True,2021-10-07 14:58:03.000000,0.11.11,12.0,finmarketpy,,,40.0,73.0,4.0,4.0,https://pypi.org/project/finmarketpy,2021-10-07 14:58:03.000000,,73.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n600,dpark,douban/dpark,,data-pipelines,https://github.com/douban/dpark,https://github.com/douban/dpark,BSD-3-Clause,2012-04-11 08:35:06.000000,2020-12-25 10:36:06.000000,2020-12-25 10:36:05.000000,554,,60.0,2667.0,1467.0,\"Python clone of Spark, a MapReduce alike framework in Python.\",35.0,20,True,2018-07-27 04:11:36.000000,0.5.0,19.0,dpark,,['spark'],,29.0,5.0,4.0,https://pypi.org/project/dpark,2018-07-27 04:11:36.000000,1.0,29.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n601,StreamAlert,airbnb/streamalert,,others,https://github.com/airbnb/streamalert,https://github.com/airbnb/streamalert,Apache-2.0,2017-01-22 01:10:56.000000,2021-12-06 17:56:08.000000,2021-11-04 18:52:02.000000,322,84.0,257.0,2628.0,1900.0,\"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data..\",33.0,20,True,2021-11-04 19:07:51.000000,3.5.0,28.0,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n602,cleanlab,cgnorthcutt/cleanlab,,others,https://github.com/cleanlab/cleanlab,https://github.com/cleanlab/cleanlab,AGPL-3.0,2018-05-11 01:55:21.000000,2021-11-17 00:07:37.000000,2021-11-08 16:11:39.000000,238,34.0,47.0,2504.0,814.0,\"The standard package for machine learning with noisy labels, finding mislabeled data, and uncertainty quantification...\",6.0,20,False,2021-04-18 19:52:49.000000,1.0,15.0,cleanlab,,,,3203.0,24.0,24.0,https://pypi.org/project/cleanlab,2020-02-17 07:33:06.000000,0.0,3203.0,,,,3.0,,,,,,,,,,,,,,,,,,cleanlab/cleanlab,,,,,,,,\n603,Luminoth,tryolabs/luminoth,,image,https://github.com/tryolabs/luminoth,https://github.com/tryolabs/luminoth,BSD-3-Clause,2017-02-16 15:07:46.000000,2021-08-25 16:02:32.000000,2020-01-07 20:53:25.000000,413,60.0,128.0,2386.0,838.0,Deep Learning toolkit for Computer Vision.,15.0,20,False,2018-11-09 21:35:17.000000,0.2.3,10.0,luminoth,,['tensorflow'],12002.0,659.0,41.0,39.0,https://pypi.org/project/luminoth,2018-11-09 21:35:17.000000,2.0,419.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n604,DeepWalk,phanein/deepwalk,,graph,https://github.com/phanein/deepwalk,https://github.com/phanein/deepwalk,GPL-3.0,2014-08-23 03:38:20.000000,2021-09-16 12:01:08.000000,2020-04-02 01:05:35.000000,782,37.0,80.0,2363.0,46.0,DeepWalk - Deep Learning for Graphs.,10.0,20,False,2018-04-29 21:05:18.000000,1.0.3,4.0,deepwalk,,,,1405.0,53.0,46.0,https://pypi.org/project/deepwalk,2018-04-29 21:05:18.000000,7.0,1405.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n605,Kashgari,BrikerMan/Kashgari,,nlp,https://github.com/BrikerMan/Kashgari,https://github.com/BrikerMan/Kashgari,Apache-2.0,2019-01-19 01:53:28.000000,2021-07-09 03:57:16.000000,2021-07-09 03:57:16.000000,420,32.0,326.0,2235.0,,Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-..,21.0,20,True,2021-07-04 10:44:36.000000,2.0.2,24.0,kashgari-tf,,['tensorflow'],,48.0,51.0,49.0,https://pypi.org/project/kashgari-tf,2019-10-18 07:57:55.000000,2.0,48.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n606,HiPlot,facebookresearch/hiplot,,data-viz,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41.000000,2021-11-05 18:07:40.000000,2021-11-05 17:54:23.000000,105,10.0,61.0,2218.0,,HiPlot makes understanding high dimensional data easy.,7.0,20,True,2021-11-04 14:37:14.000000,0.1.32,94.0,hiplot,conda-forge/hiplot,,,8491.0,3.0,3.0,https://pypi.org/project/hiplot,2021-11-05 18:07:40.000000,0.0,5176.0,https://anaconda.org/conda-forge/hiplot,2021-11-05 06:41:13.441000,72940.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n607,pytorchvideo,facebookresearch/pytorchvideo,,image,https://github.com/facebookresearch/pytorchvideo,https://github.com/facebookresearch/pytorchvideo,Apache-2.0,2021-03-09 20:39:13.000000,2021-12-01 18:27:37.000000,2021-12-01 18:27:35.000000,194,41.0,62.0,2115.0,,A deep learning library for video understanding research.,25.0,20,True,2021-09-14 00:17:10.000000,0.1.3,8.0,pytorchvideo,,['pytorch'],,6015.0,0.0,,https://pypi.org/project/pytorchvideo,2021-09-14 00:17:10.000000,0.0,6015.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n608,lightseq,bytedance/lightseq,,nlp,https://github.com/bytedance/lightseq,https://github.com/bytedance/lightseq,Apache-2.0,2019-12-06 08:25:24.000000,2021-12-09 08:56:51.000000,2021-12-08 07:00:41.000000,189,67.0,64.0,1839.0,177.0,LightSeq: A High Performance Library for Sequence Processing and Generation.,7.0,20,True,2021-11-30 07:39:10.000000,2.2.1,18.0,lightseq,,,526.0,341.0,,,https://pypi.org/project/lightseq,2021-11-30 07:39:10.000000,,320.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n609,AmpliGraph,Accenture/AmpliGraph,,graph,https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05.000000,2021-09-24 18:27:27.000000,2021-05-25 16:49:48.000000,186,20.0,181.0,1656.0,947.0,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,19.0,20,True,2021-05-25 16:57:42.000000,1.4.0,12.0,ampligraph,,['tensorflow'],,693.0,16.0,16.0,https://pypi.org/project/ampligraph,2021-05-25 16:47:29.000000,,693.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n610,hiddenlayer,waleedka/hiddenlayer,,ml-experiments,https://github.com/waleedka/hiddenlayer,https://github.com/waleedka/hiddenlayer,MIT,2018-05-18 22:34:51.000000,2021-10-16 05:29:37.000000,2020-04-24 06:58:09.000000,218,46.0,34.0,1558.0,58.0,\"Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.\",6.0,20,False,2018-12-03 04:33:29.000000,0.2,3.0,hiddenlayer,,\"['pytorch', 'tensorflow', 'jupyter']\",,970.0,95.0,87.0,https://pypi.org/project/hiddenlayer,2020-04-24 07:32:11.000000,8.0,970.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n611,Haiku,deepmind/dm-haiku,,ml-frameworks,https://github.com/deepmind/dm-haiku,https://github.com/deepmind/dm-haiku,Apache-2.0,2020-02-18 07:14:02.000000,2021-12-03 13:04:42.000000,2021-12-02 11:21:00.000000,117,33.0,93.0,1515.0,,JAX-based neural network library.,53.0,20,True,2021-11-01 13:18:04.000000,0.0.5,7.0,,,,,,265.0,265.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n612,DELTA,Delta-ML/delta,,nlp,https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57.000000,2021-11-08 22:20:35.000000,2020-12-17 06:57:15.000000,292,5.0,74.0,1475.0,932.0,DELTA is a deep learning based natural language and speech processing platform.,41.0,20,True,2020-07-16 09:31:45.000000,0.3.3,4.0,delta-nlp,,['tensorflow'],,433.0,,,https://pypi.org/project/delta-nlp,2020-03-27 04:46:19.000000,,12.0,,,,3.0,,,zh794390558/delta,https://hub.docker.com/r/zh794390558/delta,2021-08-03 14:50:00.516864,,13063.0,,,,,,,,,,,,,,,,,,,\n613,Talos,autonomio/talos,,hyperopt,https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41.000000,2021-05-27 09:49:51.000000,2021-05-27 09:49:50.000000,247,35.0,354.0,1472.0,559.0,\"Hyperparameter Optimization for TensorFlow, Keras and PyTorch.\",19.0,20,True,2020-11-09 16:48:30.000000,1.0,14.0,talos,,['tensorflow'],,540.0,137.0,131.0,https://pypi.org/project/talos,2020-11-09 16:49:08.000000,6.0,540.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n614,anaGo,Hironsan/anago,,nlp,https://github.com/Hironsan/anago,https://github.com/Hironsan/anago,MIT,2017-06-26 21:28:36.000000,2021-08-25 14:45:13.000000,2021-04-01 12:34:50.000000,360,37.0,72.0,1425.0,298.0,\"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.\",11.0,20,True,2018-07-17 01:59:21.000000,1.0.8,14.0,anago,,['tensorflow'],,290.0,32.0,27.0,https://pypi.org/project/anago,2018-07-17 01:59:21.000000,5.0,290.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n615,Classy Vision,facebookresearch/ClassyVision,,image,https://github.com/facebookresearch/ClassyVision,https://github.com/facebookresearch/ClassyVision,MIT,2019-09-13 22:54:44.000000,2021-12-02 21:13:23.000000,2021-11-18 09:32:51.000000,237,53.0,61.0,1384.0,,An end-to-end PyTorch framework for image and video classification.,66.0,20,True,2021-07-19 20:08:51.000000,0.6.0,17.0,classy_vision,conda-forge/classy_vision,['pytorch'],,1499.0,0.0,,https://pypi.org/project/classy_vision,2021-07-09 22:58:06.000000,0.0,1039.0,https://anaconda.org/conda-forge/classy_vision,2020-12-11 20:08:25.437000,10593.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n616,MLBox,AxeldeRomblay/MLBox,,hyperopt,https://github.com/AxeldeRomblay/MLBox,https://github.com/AxeldeRomblay/MLBox,BSD-1-Clause,2017-06-01 16:59:24.000000,2021-08-25 15:38:03.000000,2020-08-25 09:26:27.000000,261,15.0,74.0,1266.0,1121.0,MLBox is a powerful Automated Machine Learning python library.,9.0,20,False,2020-08-25 09:32:37.000000,0.8.5,21.0,mlbox,,,,763.0,28.0,28.0,https://pypi.org/project/mlbox,2020-08-25 09:32:37.000000,,763.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n617,pytorch_geometric_temporal,benedekrozemberczki/pytorch_geometric_temporal,,graph,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,MIT,2020-06-27 01:11:33.000000,2021-11-21 18:51:53.000000,2021-11-21 18:51:52.000000,161,2.0,68.0,1200.0,1794.0,PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021).,12.0,20,True,2021-09-11 12:03:52.000000,_00041,39.0,torch-geometric-temporal,,['pytorch'],,539.0,,,https://pypi.org/project/torch-geometric-temporal,2021-09-11 12:02:32.000000,,539.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n618,tensorrec,jfkirk/tensorrec,,recommender-systems,https://github.com/jfkirk/tensorrec,https://github.com/jfkirk/tensorrec,Apache-2.0,2017-02-28 18:51:11.000000,2021-09-07 23:58:55.000000,2020-02-04 21:10:25.000000,218,35.0,90.0,1167.0,334.0,A TensorFlow recommendation algorithm and framework in Python.,9.0,20,False,2019-04-02 00:53:47.000000,0.26.2,30.0,tensorrec,,['tensorflow'],,183.0,29.0,26.0,https://pypi.org/project/tensorrec,2019-04-02 00:53:47.000000,3.0,183.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n619,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,,pytorch-utils,https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000000,2021-12-06 21:24:47.000000,2021-12-06 21:24:44.000000,84,3.0,18.0,1157.0,744.0,PyTorch extensions for fast R&D prototyping and Kaggle farming.,6.0,20,True,2021-08-12 07:49:51.000000,0.4.4,22.0,pytorch_toolbelt,,['pytorch'],,4507.0,2.0,,https://pypi.org/project/pytorch_toolbelt,2021-08-12 07:49:51.000000,2.0,4507.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n620,Norfair,tryolabs/norfair,,image,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000000,2021-10-01 22:03:27.000000,2021-10-01 22:03:26.000000,86,8.0,31.0,1148.0,283.0,Lightweight Python library for adding real-time object tracking to any detector.,9.0,20,True,2021-07-29 15:49:06.000000,0.3.1,12.0,norfair,,,,1478.0,0.0,,https://pypi.org/project/norfair,2021-07-29 15:49:06.000000,0.0,1478.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n621,graph4nlp,graph4ai/graph4nlp,,graph,https://github.com/graph4ai/graph4nlp,https://github.com/graph4ai/graph4nlp,Apache-2.0,2020-07-16 03:28:48.000000,2021-12-08 14:24:28.000000,2021-09-27 01:47:06.000000,131,6.0,85.0,1131.0,1742.0,Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website..,22.0,20,True,2021-09-30 16:52:44.000000,0.5.1-alpha,10.0,graph4nlp,,['pytorch'],,56.0,,,https://pypi.org/project/graph4nlp,2021-09-29 15:52:03.000000,,56.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n622,Skater,oracle/Skater,,interpretability,https://github.com/oracle/Skater,https://github.com/oracle/Skater,UPL-1.0,2017-01-26 05:45:42.000000,2021-11-15 19:51:51.883000,2020-06-29 20:07:12.000000,163,69.0,97.0,1006.0,1101.0,Python Library for Model Interpretation/Explanations.,34.0,20,False,2018-09-21 07:03:32.000000,1.1.2,23.0,skater,conda-forge/skater,,,4254.0,,,https://pypi.org/project/skater,2018-09-21 07:03:32.000000,,3413.0,https://anaconda.org/conda-forge/skater,2021-11-15 19:51:51.883000,45449.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n623,CrypTen,facebookresearch/CrypTen,,privacy-ml,https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000000,2021-12-07 18:25:21.000000,2021-12-07 18:25:18.000000,157,32.0,93.0,970.0,,A framework for Privacy Preserving Machine Learning.,25.0,20,True,2021-09-09 15:15:11.000000,0.4.0,2.0,crypten,,['pytorch'],,239.0,12.0,12.0,https://pypi.org/project/crypten,2021-09-09 15:15:11.000000,,239.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n624,DALEX,ModelOriented/DALEX,,interpretability,https://github.com/ModelOriented/DALEX,https://github.com/ModelOriented/DALEX,GPL-3.0,2018-02-18 03:24:12.000000,2021-11-08 12:23:05.000000,2021-11-08 12:23:03.000000,123,16.0,310.0,968.0,594.0,moDel Agnostic Language for Exploration and eXplanation.,20.0,20,False,2021-11-08 12:22:11.000000,1.4.1,23.0,dalex,,,,4248.0,26.0,26.0,https://pypi.org/project/dalex,2021-11-08 12:22:11.000000,0.0,4248.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n625,keract,philipperemy/keract,,interpretability,https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57.000000,2021-09-24 23:52:45.000000,2021-07-28 09:17:30.000000,184,2.0,81.0,944.0,382.0,Layers Outputs and Gradients in Keras. Made easy.,16.0,20,True,2021-06-19 16:14:57.000000,4.5.0,38.0,keract,,['tensorflow'],,700.0,109.0,104.0,https://pypi.org/project/keract,2021-06-19 16:14:15.000000,5.0,700.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n626,Databolt Flow,d6t/d6tflow,,data-pipelines,https://github.com/d6t/d6tflow,https://github.com/d6t/d6tflow,MIT,2019-02-03 01:51:22.000000,2021-10-06 00:53:48.000000,2021-09-28 02:59:00.000000,69,10.0,13.0,936.0,266.0,Python library for building highly effective data science workflows.,12.0,20,True,2021-10-06 00:53:48.000000,0.2.5,21.0,d6tflow,,,,167.0,17.0,17.0,https://pypi.org/project/d6tflow,2021-10-06 00:53:48.000000,,167.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n627,Labml,labmlai/labml,,ml-experiments,https://github.com/labmlai/labml,https://github.com/labmlai/labml,MIT,2018-11-16 09:34:48.000000,2021-09-06 14:08:38.000000,2021-09-06 14:08:28.000000,57,15.0,10.0,881.0,1139.0,Monitor deep learning model training and hardware usage from your mobile phone.,6.0,20,True,2021-08-31 06:09:27.000000,0.4.134,111.0,labml,,,,436.0,39.0,39.0,https://pypi.org/project/labml,2021-08-31 06:09:27.000000,0.0,436.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n628,Orbit,uber/orbit,,probabilistics,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000000,2021-12-08 01:16:22.000000,2021-12-05 04:24:28.000000,60,44.0,259.0,831.0,684.0,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,14.0,20,True,2021-08-30 17:57:34.000000,1.0.17,15.0,orbit-ml,,,,1163.0,5.0,5.0,https://pypi.org/project/orbit-ml,2021-08-30 17:58:36.000000,0.0,1163.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n629,PFRL,pfnet/pfrl,,reinforcement-learning,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50.000000,2021-12-06 07:44:27.000000,2021-12-06 07:44:27.000000,98,27.0,33.0,746.0,388.0,PFRL: a PyTorch-based deep reinforcement learning library.,15.0,20,True,2021-07-07 02:43:23.000000,0.3.0,5.0,pfrl,,,,270.0,27.0,27.0,https://pypi.org/project/pfrl,2021-07-07 02:48:20.000000,0.0,270.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n630,DiCE,interpretml/DiCE,,interpretability,https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000000,2021-12-06 21:15:59.000000,2021-11-30 06:55:24.000000,95,46.0,50.0,722.0,470.0,Generate Diverse Counterfactual Explanations for any machine learning model.,12.0,20,True,2021-09-27 06:59:57.000000,0.7.2,8.0,dice-ml,,\"['tensorflow', 'pytorch']\",,11336.0,0.0,,https://pypi.org/project/dice-ml,2021-09-27 06:59:57.000000,0.0,11336.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n631,RLax,deepmind/rlax,,reinforcement-learning,https://github.com/deepmind/rlax,https://github.com/deepmind/rlax,Apache-2.0,2020-02-18 07:14:59.000000,2021-12-02 17:18:58.000000,2021-12-02 17:18:54.000000,55,9.0,9.0,720.0,144.0,A library of reinforcement learning building blocks in JAX.,16.0,20,True,2021-11-19 12:34:30.000000,0.1.1,6.0,rlax,,['jax'],,1214.0,32.0,32.0,https://pypi.org/project/rlax,2021-11-19 12:34:30.000000,,1214.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n632,mlens,flennerhag/mlens,,others,https://github.com/flennerhag/mlens,https://github.com/flennerhag/mlens,MIT,2017-01-10 20:53:47.000000,2020-02-25 14:32:48.000000,2020-02-25 14:31:53.000000,91,10.0,74.0,707.0,879.0,ML-Ensemble high performance ensemble learning.,7.0,20,False,2018-10-30 22:34:35.000000,0.2.3,14.0,mlens,,,,1717.0,178.0,175.0,https://pypi.org/project/mlens,2018-10-30 22:30:43.000000,3.0,1717.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n633,Objax,google/objax,,ml-frameworks,https://github.com/google/objax,https://github.com/google/objax,Apache-2.0,2020-08-20 06:20:40.000000,2021-09-20 23:54:26.000000,2021-09-20 23:54:26.000000,56,40.0,56.0,666.0,414.0,Objax is a machine learning framework that provides an Object Oriented layer for JAX.,22.0,20,True,2021-04-01 00:14:18.000000,1.4.0,7.0,objax,,['jax'],,1614.0,17.0,17.0,https://pypi.org/project/objax,2021-04-01 00:02:37.000000,0.0,1614.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n634,What-If Tool,PAIR-code/what-if-tool,,interpretability,https://github.com/PAIR-code/what-if-tool,https://github.com/PAIR-code/what-if-tool,Apache-2.0,2018-09-07 20:26:10.000000,2021-11-01 12:13:56.000000,2021-11-01 12:13:55.000000,118,55.0,46.0,607.0,324.0,Source code/webpage/demos for the What-If Tool.,20.0,20,True,2021-10-12 17:42:50.869000,1.8.1,40.0,witwidget,,,,8174.0,0.0,,https://pypi.org/project/witwidget,2021-10-12 17:42:30.000000,0.0,3912.0,,,,3.0,,,,,,,,,wit-widget,https://www.npmjs.com/package/wit-widget,2021-10-12 17:42:50.869000,,4262.0,,,,,,,,,,,,,\n635,PyKEEN,pykeen/pykeen,,graph,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000000,2021-12-09 08:20:55.000000,2021-12-09 08:18:20.000000,85,106.0,205.0,605.0,2493.0,A Python library for learning and evaluating knowledge graph embeddings.,24.0,20,True,2021-10-18 09:50:50.000000,1.6.0,37.0,pykeen,,,92.0,475.0,2.0,,https://pypi.org/project/pykeen,2021-10-18 09:48:18.000000,2.0,470.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n636,deeplift,kundajelab/deeplift,,interpretability,https://github.com/kundajelab/deeplift,https://github.com/kundajelab/deeplift,MIT,2016-06-01 02:18:06.000000,2021-11-11 17:50:26.000000,2021-11-11 17:50:26.000000,134,33.0,48.0,595.0,553.0,Public facing deeplift repo.,11.0,20,True,2018-07-13 21:11:52.000000,0.6.6,21.0,deeplift,,,,425.0,56.0,52.0,https://pypi.org/project/deeplift,2020-11-11 09:32:57.000000,4.0,425.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n637,Caer,jasmcaus/caer,,image,https://github.com/jasmcaus/caer,https://github.com/jasmcaus/caer,MIT,2020-08-06 18:36:14.000000,2021-10-13 21:04:50.000000,2021-10-13 21:05:33.000000,101,2.0,13.0,576.0,5078.0,\"A lightweight Computer Vision library. Scale your models, not boilerplate.\",8.0,20,True,2021-10-13 21:04:12.000000,2.0.8,119.0,caer,,,19.0,2302.0,0.0,,https://pypi.org/project/caer,2021-10-13 21:04:12.000000,0.0,2301.0,,,,3.0,,https://caer.rtfd.io,,,,,,,,,,,,,,,,,,,,,,,,\n638,Poutyne,GRAAL-Research/poutyne,,pytorch-utils,https://github.com/GRAAL-Research/poutyne,https://github.com/GRAAL-Research/poutyne,LGPL-3.0,2017-12-07 18:30:17.000000,2021-12-01 15:33:10.000000,2021-11-09 22:44:59.000000,55,7.0,38.0,507.0,614.0,A simplified framework and utilities for PyTorch.,16.0,20,False,2021-10-30 18:41:03.000000,1.7,24.0,poutyne,,['pytorch'],,3076.0,76.0,72.0,https://pypi.org/project/poutyne,2021-10-30 18:41:31.000000,4.0,3076.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n639,torch-cluster,rusty1s/pytorch_cluster,,graph,https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06.000000,2021-11-13 22:11:52.000000,2021-11-13 22:11:50.000000,84,37.0,82.0,451.0,561.0,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,19.0,20,True,2021-03-01 13:58:47.000000,1.5.9,39.0,torch-cluster,,['pytorch'],,6655.0,32.0,,https://pypi.org/project/torch-cluster,2021-03-01 12:28:43.000000,32.0,6655.0,,,,2.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n640,skope-rules,scikit-learn-contrib/skope-rules,,sklearn-utils,https://github.com/scikit-learn-contrib/skope-rules,https://github.com/scikit-learn-contrib/skope-rules,BSD-1-Clause,2018-02-18 13:42:47.000000,2021-05-12 08:25:18.000000,2020-10-23 14:31:57.000000,69,23.0,5.0,422.0,247.0,machine learning with logical rules in Python.,18.0,20,False,2020-12-11 09:37:02.000000,1.0.1,4.0,skope-rules,,['sklearn'],,30778.0,63.0,57.0,https://pypi.org/project/skope-rules,2020-01-25 12:01:37.000000,6.0,30778.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n641,pydlm,wwrechard/pydlm,,time-series-data,https://github.com/wwrechard/pydlm,https://github.com/wwrechard/pydlm,BSD-3-Clause,2016-06-29 07:58:53.000000,2021-02-24 14:21:28.000000,2019-10-22 07:18:40.000000,87,35.0,8.0,404.0,362.0,A python library for Bayesian time series modeling.,6.0,20,False,2016-11-06 01:43:35.000000,0.1.1,13.0,pydlm,,,,9440.0,26.0,24.0,https://pypi.org/project/pydlm,2018-12-19 10:27:54.000000,2.0,9440.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n642,MedPy,loli/medpy,,medical-data,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34.000000,2020-05-01 15:25:39.000000,2020-05-01 15:25:38.000000,114,11.0,67.0,379.0,324.0,Medical image processing in Python.,13.0,20,False,2019-02-14 17:12:59.000000,0.4.0,6.0,MedPy,,,,4892.0,476.0,446.0,https://pypi.org/project/MedPy,2019-02-14 17:12:59.000000,30.0,4892.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n643,Studio.ml,studioml/studio,,ml-experiments,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28.000000,2021-09-14 22:55:51.000000,2021-09-14 22:26:21.000000,52,57.0,195.0,374.0,2409.0,Studio: Simplify and expedite model building process.,21.0,20,True,2021-09-14 22:55:51.000000,0.0.49,208.0,studioml,,,,297.0,5.0,5.0,https://pypi.org/project/studioml,2021-09-14 22:55:51.000000,,297.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n644,Pywick,achaiah/pywick,,pytorch-utils,https://github.com/achaiah/pywick,https://github.com/achaiah/pywick,MIT,2019-03-25 15:42:47.000000,2021-11-22 22:04:50.000000,2021-10-22 03:09:17.000000,38,2.0,12.0,364.0,149.0,High-level batteries-included neural network training library for Pytorch.,4.0,20,True,2021-10-22 03:19:11.000000,0.6.5,8.0,pywick,,['pytorch'],,7845.0,5.0,5.0,https://pypi.org/project/pywick,2021-10-22 03:19:11.000000,,7845.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n645,joypy,leotac/joypy,,data-viz,https://github.com/leotac/joypy,https://github.com/leotac/joypy,MIT,2017-07-30 17:18:50.000000,2021-07-27 16:03:44.000000,2021-06-13 10:07:43.000000,41,9.0,36.0,357.0,111.0,Joyplots in Python with matplotlib & pandas.,5.0,20,True,2020-12-28 11:54:36.000000,0.2.4,16.0,joypy,conda-forge/joypy,,,13295.0,117.0,111.0,https://pypi.org/project/joypy,2020-12-28 11:54:36.000000,6.0,12933.0,https://anaconda.org/conda-forge/joypy,2020-12-28 14:07:53.760000,11964.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n646,imodels,csinva/imodels,,interpretability,https://github.com/csinva/imodels,https://github.com/csinva/imodels,MIT,2019-07-04 15:38:48.000000,2021-12-09 14:29:12.000000,2021-12-07 19:58:01.000000,33,3.0,14.0,351.0,478.0,\"Interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible).\",6.0,20,True,2021-12-07 19:56:28.000000,1.2.1,17.0,imodels,,,,929.0,10.0,10.0,https://pypi.org/project/imodels,2021-12-07 19:56:28.000000,,929.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n647,rrcf,kLabUM/rrcf,,others,https://github.com/kLabUM/rrcf,https://github.com/kLabUM/rrcf,MIT,2018-10-20 05:39:05.000000,2021-01-13 23:05:23.000000,2020-06-10 01:07:39.000000,81,22.0,17.0,346.0,253.0,Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams.,4.0,20,False,2020-06-10 01:53:55.000000,0.4.3,7.0,rrcf,,,,8459.0,32.0,32.0,https://pypi.org/project/rrcf,2020-06-10 01:53:55.000000,0.0,8459.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n648,responsible-ai-widgets,microsoft/responsible-ai-widgets,,interpretability,https://github.com/microsoft/responsible-ai-toolbox,https://github.com/microsoft/responsible-ai-toolbox,MIT,2020-07-06 20:46:53.000000,2021-12-09 04:56:20.000000,2021-12-09 04:56:19.000000,81,65.0,145.0,346.0,,\"This project provides responsible AI user interfaces for Fairlearn, interpret-community, and Error Analysis, as well..\",23.0,20,True,2021-12-01 20:21:43.000000,0.15.1,30.0,raiwidgets,,\"['pytorch', 'tensorflow', 'jupyter']\",,2906.0,18.0,18.0,https://pypi.org/project/raiwidgets,2021-12-01 20:03:11.000000,0.0,2906.0,,,,3.0,,,,,,,,,,,,,,,,,,microsoft/responsible-ai-toolbox,,,,,,,,\n649,scikit-rebate,EpistasisLab/scikit-rebate,,others,https://github.com/EpistasisLab/scikit-rebate,https://github.com/EpistasisLab/scikit-rebate,MIT,2016-09-19 13:36:17.000000,2021-05-18 21:20:09.000000,2021-02-15 17:10:59.000000,60,13.0,19.0,334.0,283.0,\"A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for..\",13.0,20,True,2017-04-12 16:12:01.000000,0.3.4,13.0,skrebate,,['sklearn'],,1580.0,62.0,,https://pypi.org/project/skrebate,2021-03-20 17:11:52.000000,62.0,1580.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n650,TSFEL,fraunhoferportugal/tsfel,,time-series-data,https://github.com/fraunhoferportugal/tsfel,https://github.com/fraunhoferportugal/tsfel,BSD-3-Clause,2019-01-09 16:41:30.000000,2021-12-06 09:53:57.000000,2021-12-06 09:53:56.000000,45,7.0,39.0,328.0,275.0,An intuitive library to extract features from time series.,12.0,20,True,2021-02-14 17:48:46.000000,0.1.4,8.0,tsfel,,,,2561.0,25.0,25.0,https://pypi.org/project/tsfel,2021-02-14 17:40:32.000000,,2561.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n651,recmetrics,statisticianinstilettos/recmetrics,,recommender-systems,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49.000000,2021-10-27 14:22:31.000000,2021-10-27 14:16:34.000000,74,6.0,10.0,320.0,237.0,A library of metrics for evaluating recommender systems.,13.0,20,True,2021-09-24 21:30:26.000000,0.1.0,15.0,recmetrics,,,,476.0,20.0,20.0,https://pypi.org/project/recmetrics,2021-09-24 21:30:26.000000,,476.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n652,scikit-tda,scikit-tda/scikit-tda,,sklearn-utils,https://github.com/scikit-tda/scikit-tda,https://github.com/scikit-tda/scikit-tda,MIT,2018-04-13 21:00:31.000000,2021-10-01 15:05:45.000000,2021-08-03 00:21:54.000000,38,12.0,4.0,320.0,60.0,Topological Data Analysis for Python.,3.0,20,True,2021-08-03 00:23:20.000000,1.0.0,4.0,scikit-tda,,['sklearn'],,2383.0,24.0,24.0,https://pypi.org/project/scikit-tda,2021-08-03 00:23:20.000000,,2383.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n653,sklearn-evaluation,edublancas/sklearn-evaluation,,interpretability,https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2015-09-04 16:33:42.000000,2021-10-17 18:15:40.000000,2021-10-17 18:09:37.000000,28,8.0,29.0,315.0,533.0,\"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook..\",6.0,20,True,2021-10-17 18:15:40.000000,0.5.7,19.0,sklearn-evaluation,,['sklearn'],,439.0,35.0,33.0,https://pypi.org/project/sklearn-evaluation,2021-10-17 18:15:40.000000,2.0,439.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n654,Auto ViML,AutoViML/Auto_ViML,,hyperopt,https://github.com/AutoViML/Auto_ViML,https://github.com/AutoViML/Auto_ViML,Apache-2.0,2019-06-10 13:09:15.000000,2021-12-06 01:40:00.000000,2021-12-06 01:38:51.000000,70,4.0,14.0,311.0,293.0,Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome...,6.0,20,True,2021-12-06 01:40:00.000000,0.1.684,133.0,autoviml,,,,841.0,15.0,15.0,https://pypi.org/project/autoviml,2021-12-06 01:40:00.000000,0.0,841.0,,,,3.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,\n655,pyfasttext,vrasneur/pyfasttext,,nlp,https://github.com/vrasneur/pyfasttext,https://github.com/vrasneur/pyfasttext,GPL-3.0,2017-06-30 18:44:42.000000,2018-12-08 15:32:09.000000,2018-12-08 15:02:12.000000,30,21.0,28.0,230.0,153.0,Yet another Python binding for fastText.,4.0,20,False,2018-12-08 15:32:09.000000,0.4.6,13.0,pyfasttext,,,343.0,2451.0,215.0,202.0,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09.000000,13.0,2445.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n656,somoclu,peterwittek/somoclu,,distributed-ml,https://github.com/peterwittek/somoclu,https://github.com/peterwittek/somoclu,MIT,2013-01-16 06:33:16.000000,2021-11-15 19:51:57.895000,2021-10-31 08:28:12.000000,61,26.0,107.0,230.0,619.0,\"Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters.\",19.0,20,False,2021-10-31 08:33:47.000000,1.7.6,17.0,somoclu,conda-forge/somoclu,,1539.0,2030.0,4.0,,https://pypi.org/project/somoclu,2020-04-25 05:33:32.000000,4.0,918.0,https://anaconda.org/conda-forge/somoclu,2021-11-15 19:51:57.895000,56919.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n657,scikit-posthocs,maximtrp/scikit-posthocs,,probabilistics,https://github.com/maximtrp/scikit-posthocs,https://github.com/maximtrp/scikit-posthocs,MIT,2017-06-22 19:41:37.000000,2021-11-26 21:39:34.000000,2021-11-26 21:39:28.000000,23,4.0,39.0,224.0,466.0,Multiple Pairwise Comparisons (Post Hoc) Tests in Python.,8.0,20,False,2021-03-17 06:05:28.000000,0.6.7,21.0,scikit-posthocs,,['sklearn'],23.0,16715.0,6.0,,https://pypi.org/project/scikit-posthocs,2021-03-15 16:05:51.000000,6.0,16715.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n658,dbnd,databand-ai/dbnd,,data-pipelines,https://github.com/databand-ai/dbnd,https://github.com/databand-ai/dbnd,Apache-2.0,2020-01-02 10:42:47.000000,2021-12-08 16:37:16.000000,2021-12-08 15:42:12.000000,19,2.0,2.0,207.0,19.0,DBND is an agile pipeline framework that helps data engineering teams track and orchestrate their data processes.,13.0,20,False,2021-12-08 16:30:35.000000,0.56.1,239.0,dbnd,,,,59985.0,25.0,25.0,https://pypi.org/project/dbnd,2021-12-08 16:30:35.000000,0.0,59985.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n659,Glow,projectglow/glow,,medical-data,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47.000000,2021-12-02 20:35:10.000000,2021-12-01 20:08:47.000000,55,44.0,77.0,184.0,363.0,An open-source toolkit for large-scale genomic analysis.,18.0,20,False,2021-10-30 01:16:11.000000,1.1.1,14.0,glow.py,,,,19201.0,,,https://pypi.org/project/glow.py,2021-10-30 01:03:44.000000,,19201.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n660,Recommenders,microsoft/recommenders,,recommender-systems,https://github.com/microsoft/recommenders,https://github.com/microsoft/recommenders,MIT,2018-09-19 10:06:07.000000,2021-12-09 11:38:56.000000,2021-09-23 08:42:12.000000,1988,157.0,486.0,11776.0,,Best Practices on Recommendation Systems.,101.0,19,True,2021-09-23 18:03:12.000000,0.7.0,9.0,,,,81.0,2.0,5.0,5.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n661,PaddleDetection,PaddlePaddle/PaddleDetection,,image,https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000000,2021-12-09 13:46:39.000000,2021-12-09 10:44:04.000000,1417,758.0,1936.0,5729.0,,\"Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object..\",75.0,19,True,2021-12-09 11:11:05.000000,2.3.0,5.0,,,['paddle'],,,6.0,6.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n662,neon,NervanaSystems/neon,,ml-frameworks,https://github.com/NervanaSystems/neon,https://github.com/NervanaSystems/neon,Apache-2.0,2014-10-16 01:00:17.000000,2020-12-23 01:21:42.000000,2019-05-22 18:27:54.000000,832,90.0,306.0,3855.0,1118.0,Intel Nervana reference deep learning framework committed to best performance on all hardware.,109.0,19,False,2018-01-05 23:25:04.000000,2.6.0,32.0,nervananeon,,,317.0,76.0,1.0,,https://pypi.org/project/nervananeon,2018-01-05 23:25:04.000000,1.0,72.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n663,Crypto Signals,CryptoSignal/crypto-signal,,financial-data,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24.000000,2021-10-19 20:21:49.000000,2021-06-28 16:44:17.000000,993,54.0,198.0,3672.0,564.0,\"Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 3,100+ stars, 900+ forks.\",28.0,19,True,,,,,,,,2749.0,,,,,,,,,,3.0,,,shadowreaver/crypto-signal,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133,7.0,140221.0,,,,,,,,,,,,,,,,,,,\n664,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,,graph,https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16.000000,2021-11-28 17:50:14.000000,2021-10-27 14:34:36.000000,397,55.0,119.0,2963.0,,Generate embeddings from large-scale graph-structured data.,24.0,19,True,2019-10-14 16:45:11.000000,1.0.0,3.0,torchbiggraph,,['pytorch'],122.0,575.0,4.0,,https://pypi.org/project/torchbiggraph,2019-05-01 21:31:13.000000,4.0,572.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n665,River,online-ml/river,,others,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000000,2021-12-07 09:31:27.000000,2021-12-07 09:27:27.000000,316,7.0,325.0,2952.0,,Online machine learning in Python.,70.0,19,True,2021-12-01 16:11:26.000000,0.9.0,1.0,,,,,,51.0,51.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n666,tf-quant-finance,google/tf-quant-finance,,financial-data,https://github.com/google/tf-quant-finance,https://github.com/google/tf-quant-finance,Apache-2.0,2019-07-24 16:09:50.000000,2021-12-08 17:32:38.000000,2021-12-08 17:32:35.000000,394,18.0,18.0,2916.0,824.0,High-performance TensorFlow library for quantitative finance.,36.0,19,True,,,25.0,tf-quant-finance,,['tensorflow'],,403.0,0.0,,https://pypi.org/project/tf-quant-finance,2021-11-15 14:17:10.000000,0.0,403.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n667,AdaBound,Luolc/AdaBound,,pytorch-utils,https://github.com/Luolc/AdaBound,https://github.com/Luolc/AdaBound,Apache-2.0,2019-02-15 18:05:20.000000,2019-03-06 17:01:52.000000,2019-03-06 17:01:45.000000,327,16.0,7.0,2882.0,27.0,An optimizer that trains as fast as Adam and as good as SGD.,2.0,19,False,2019-03-06 16:44:42.000000,0.0.5,4.0,adabound,,['pytorch'],,663.0,135.0,123.0,https://pypi.org/project/adabound,2019-02-26 04:23:45.000000,12.0,663.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n668,NLP Architect,IntelLabs/nlp-architect,,nlp,https://github.com/IntelLabs/nlp-architect,https://github.com/IntelLabs/nlp-architect,Apache-2.0,2018-05-17 21:00:13.000000,2021-09-12 08:32:45.000000,2021-09-12 08:29:06.000000,437,21.0,112.0,2766.0,954.0,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,37.0,19,True,2020-11-17 12:32:37.000000,0.5.5.1,13.0,nlp-architect,,,,253.0,8.0,8.0,https://pypi.org/project/nlp-architect,2020-04-12 11:34:38.000000,,253.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n669,image-match,ProvenanceLabs/image-match,,image,https://github.com/ProvenanceLabs/image-match,https://github.com/ProvenanceLabs/image-match,Apache-2.0,2016-03-08 18:16:45.000000,2021-09-21 13:07:59.000000,2021-09-21 13:07:59.000000,380,56.0,48.0,2660.0,405.0,Quickly search over billions of images.,19.0,19,True,2017-02-13 14:54:48.000000,1.1.2,10.0,image_match,,,,720.0,6.0,,https://pypi.org/project/image_match,2017-02-13 14:54:48.000000,6.0,720.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n670,Apache Singa,apache/singa,,distributed-ml,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000000,2021-12-02 04:35:29.000000,2021-08-10 09:12:48.000000,725,40.0,49.0,2456.0,2360.0,a distributed deep learning platform.,76.0,19,True,2020-04-21 08:01:08.000000,3.0.0,16.0,,nusdbsystem/singa,,,8.0,1.0,1.0,,,,,https://anaconda.org/nusdbsystem/singa,2021-08-09 13:10:26.397000,389.0,3.0,,,apache/singa,https://hub.docker.com/r/apache/singa,2019-06-04 04:32:52.195956,4.0,207.0,,,,,,,,,,,,,,,,,,,\n671,vissl,facebookresearch/vissl,,image,https://github.com/facebookresearch/vissl,https://github.com/facebookresearch/vissl,MIT,2020-04-09 19:40:33.000000,2021-11-30 01:14:02.000000,2021-11-29 14:28:03.000000,215,44.0,84.0,2217.0,,\"VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.\",30.0,19,True,2021-11-02 17:21:02.000000,0.1.6,6.0,vissl,,['pytorch'],,78.0,3.0,3.0,https://pypi.org/project/vissl,2021-11-02 15:36:07.000000,0.0,78.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n672,pdftabextract,WZBSocialScienceCenter/pdftabextract,,ocr,https://github.com/WZBSocialScienceCenter/pdftabextract,https://github.com/WZBSocialScienceCenter/pdftabextract,Apache-2.0,2016-07-08 11:44:46.000000,2020-12-28 00:52:23.000000,2018-10-26 13:57:02.000000,339,3.0,18.0,1969.0,168.0,A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.,2.0,19,False,2018-01-09 08:00:24.000000,0.3.0,5.0,pdftabextract,,,,223.0,38.0,37.0,https://pypi.org/project/pdftabextract,2018-01-09 08:00:24.000000,1.0,223.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n673,auto_ml,ClimbsRocks/auto_ml,,hyperopt,https://github.com/ClimbsRocks/auto_ml,https://github.com/ClimbsRocks/auto_ml,MIT,2016-08-07 21:35:08.000000,2021-02-10 07:52:35.000000,2018-03-25 19:46:25.000000,297,185.0,216.0,1557.0,1149.0,[UNMAINTAINED] Automated machine learning for analytics & production.,13.0,19,False,2018-02-22 01:13:03.000000,2.9.10,78.0,auto_ml,,,38.0,838.0,2.0,,https://pypi.org/project/auto_ml,2018-02-22 01:13:03.000000,2.0,838.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n674,greykite,linkedin/greykite,,time-series-data,https://github.com/linkedin/greykite,https://github.com/linkedin/greykite,BSD-2-Clause,2021-04-27 17:05:53.000000,2021-10-18 23:45:08.000000,2021-10-18 23:45:08.000000,58,11.0,49.0,1355.0,15.0,\"A flexible, intuitive and fast forecasting library.\",7.0,19,True,2021-07-01 19:41:38.000000,0.2.0,6.0,greykite,,,,3943.0,8.0,8.0,https://pypi.org/project/greykite,2021-07-01 19:41:38.000000,,3943.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n675,ThunderSVM,Xtra-Computing/thundersvm,,ml-frameworks,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04.000000,2021-02-10 05:12:44.000000,2021-02-10 05:12:44.000000,179,57.0,145.0,1354.0,902.0,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,33.0,19,True,2020-03-13 12:36:30.000000,0.3.12,9.0,thundersvm,,,2293.0,318.0,,,https://pypi.org/project/thundersvm,2020-03-13 12:36:30.000000,,281.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n676,DLTK,DLTK/DLTK,,medical-data,https://github.com/DLTK/DLTK,https://github.com/DLTK/DLTK,Apache-2.0,2017-05-02 15:40:36.000000,2021-08-25 14:40:15.000000,2019-01-21 14:01:28.000000,389,11.0,24.0,1286.0,379.0,Deep Learning Toolkit for Medical Image Analysis.,9.0,19,False,2018-02-26 17:43:57.000000,0.2.1,5.0,dltk,,['tensorflow'],,110.0,21.0,21.0,https://pypi.org/project/dltk,2018-02-26 17:43:57.000000,,110.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n677,doc2text,jlsutherland/doc2text,,ocr,https://github.com/jlsutherland/doc2text,https://github.com/jlsutherland/doc2text,MIT,2016-08-28 19:30:02.000000,2020-12-01 22:56:27.000000,2020-12-01 22:56:26.000000,101,14.0,9.0,1252.0,62.0,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,5.0,19,True,2016-09-06 21:59:21.000000,0.2.4,5.0,doc2text,,,,226.0,50.0,50.0,https://pypi.org/project/doc2text,2016-09-06 21:59:21.000000,,226.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n678,TensorNets,taehoonlee/tensornets,,tensorflow-utils,https://github.com/taehoonlee/tensornets,https://github.com/taehoonlee/tensornets,MIT,2017-09-19 05:19:01.000000,2021-01-02 06:28:10.000000,2021-01-02 06:26:24.000000,186,16.0,42.0,997.0,284.0,High level network definitions with pre-trained weights in TensorFlow.,6.0,19,True,2020-03-31 04:38:27.000000,0.4.6,12.0,tensornets,,['tensorflow'],,67.0,46.0,42.0,https://pypi.org/project/tensornets,2020-03-31 04:35:15.000000,4.0,67.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n679,advertorch,BorealisAI/advertorch,,adversarial,https://github.com/BorealisAI/advertorch,https://github.com/BorealisAI/advertorch,GPL-3.0,2018-11-29 22:17:33.000000,2021-08-26 22:02:01.000000,2021-07-30 15:59:28.000000,155,15.0,33.0,976.0,273.0,A Toolbox for Adversarial Robustness Research.,18.0,19,False,2020-06-15 01:20:07.000000,0.2.3,10.0,advertorch,,['pytorch'],,357.0,61.0,55.0,https://pypi.org/project/advertorch,2020-06-15 01:20:07.000000,6.0,357.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n680,calamari,Calamari-OCR/calamari,,ocr,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,Apache-2.0,2018-03-20 15:22:29.000000,2021-10-28 09:18:45.000000,2021-10-02 08:17:09.000000,184,39.0,191.0,879.0,405.0,Line based ATR Engine based on OCRopy.,19.0,19,True,2021-10-02 07:50:30.000000,2.1.4,30.0,calamari_ocr,,,,408.0,2.0,,https://pypi.org/project/calamari_ocr,2018-11-13 11:24:45.000000,2.0,408.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n681,NGT,yahoojapan/NGT,,nn-search,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000000,2021-11-06 00:02:46.000000,2021-10-25 04:48:23.000000,82,8.0,74.0,826.0,132.0,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,12.0,19,True,2021-04-14 00:31:14.000000,1.13.7,50.0,ngt,,,,8271.0,6.0,,https://pypi.org/project/ngt,2020-09-23 06:52:45.000000,6.0,8271.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n682,AstroML,astroML/astroML,,others,https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50.000000,2021-08-04 16:00:40.000000,2021-04-07 06:12:17.000000,271,53.0,86.0,785.0,,\"Machine learning, statistics, and data mining for astronomy and astrophysics.\",30.0,19,True,2019-10-02 06:32:58.000000,0.4.1,10.0,astroML,conda-forge/astroml,['sklearn'],,1209.0,29.0,,https://pypi.org/project/astroML,2020-03-23 23:20:49.000000,29.0,698.0,https://anaconda.org/conda-forge/astroml,2020-02-16 04:18:54.678000,26597.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n683,tffm,geffy/tffm,,tensorflow-utils,https://github.com/geffy/tffm,https://github.com/geffy/tffm,MIT,2016-05-02 17:06:07.000000,2020-05-22 21:40:58.000000,2020-05-22 21:40:57.000000,180,17.0,22.0,774.0,106.0,TensorFlow implementation of an arbitrary order Factorization Machine.,10.0,19,False,2018-01-27 11:43:26.000000,1.0.1,2.0,tffm,,['tensorflow'],,1281.0,12.0,11.0,https://pypi.org/project/tffm,2018-01-27 11:43:26.000000,1.0,1281.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n684,TensorFrames,databricks/tensorframes,,distributed-ml,https://github.com/databricks/tensorframes,https://github.com/databricks/tensorframes,Apache-2.0,2016-03-04 19:25:19.000000,2021-08-25 14:58:55.000000,2019-11-15 21:43:53.000000,157,51.0,43.0,761.0,221.0,[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark.,16.0,19,False,2018-11-16 20:50:02.000000,0.6.0,6.0,tensorframes,,\"['tensorflow', 'spark']\",,10402.0,1.0,,https://pypi.org/project/tensorframes,2018-05-16 14:20:28.000000,1.0,10402.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n685,XAI,EthicalML/xai,,interpretability,https://github.com/EthicalML/xai,https://github.com/EthicalML/xai,MIT,2019-01-11 20:00:09.000000,2021-10-30 06:35:19.000000,2021-10-30 06:30:12.000000,114,1.0,7.0,741.0,91.0,XAI - An eXplainability toolbox for machine learning.,3.0,19,True,2021-10-30 06:35:19.000000,0.1.0,6.0,xai,,,,216.0,17.0,11.0,https://pypi.org/project/xai,2021-10-30 06:33:26.000000,6.0,216.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n686,Test Tube,williamFalcon/test-tube,,hyperopt,https://github.com/williamFalcon/test-tube,https://github.com/williamFalcon/test-tube,MIT,2017-09-06 02:14:57.000000,2021-10-14 18:44:27.000000,2020-03-17 22:44:47.000000,64,25.0,21.0,703.0,642.0,Python library to easily log experiments and parallelize hyperparameter search for neural networks.,16.0,19,False,2019-12-01 01:19:36.000000,0.7.5,53.0,test_tube,,,10.0,7027.0,5.0,,https://pypi.org/project/test_tube,2018-12-12 22:45:59.000000,5.0,7027.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n687,bambi,bambinos/bambi,,probabilistics,https://github.com/bambinos/bambi,https://github.com/bambinos/bambi,MIT,2016-05-16 03:21:00.000000,2021-12-01 12:18:02.000000,2021-12-01 12:18:01.000000,66,31.0,179.0,703.0,,BAyesian Model-Building Interface (Bambi) in Python.,21.0,19,True,2021-09-17 11:44:34.000000,0.6.3,17.0,bambi,,,,644.0,20.0,17.0,https://pypi.org/project/bambi,2021-09-17 11:44:34.000000,3.0,644.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n688,NearPy,pixelogik/NearPy,,nn-search,https://github.com/pixelogik/NearPy,https://github.com/pixelogik/NearPy,MIT,2013-04-25 09:10:26.000000,2021-09-26 01:44:54.000000,2018-10-21 17:54:28.000000,141,24.0,38.0,693.0,159.0,\"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..\",18.0,19,False,2016-09-27 13:04:44.000000,1.0.0,8.0,NearPy,,,,623.0,76.0,60.0,https://pypi.org/project/NearPy,2016-09-27 13:03:12.000000,16.0,623.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n689,sklearn-deap,rsteca/sklearn-deap,,hyperopt,https://github.com/rsteca/sklearn-deap,https://github.com/rsteca/sklearn-deap,MIT,2015-10-28 22:52:34.000000,2021-07-30 15:13:54.000000,2021-07-30 15:06:27.000000,114,21.0,34.0,666.0,104.0,Use evolutionary algorithms instead of gridsearch in scikit-learn.,22.0,19,True,2021-07-30 15:13:54.000000,0.3.0,14.0,sklearn-deap,,['sklearn'],,555.0,32.0,30.0,https://pypi.org/project/sklearn-deap,2021-07-30 15:13:54.000000,2.0,555.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n690,finetune,IndicoDataSolutions/finetune,,nlp,https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16.000000,2021-12-03 22:52:29.000000,2021-11-18 10:57:22.000000,69,22.0,116.0,656.0,1201.0,Scikit-learn style model finetuning for NLP.,19.0,19,True,2020-01-10 22:42:24.000000,0.8.6,37.0,finetune,,\"['tensorflow', 'sklearn']\",,95.0,11.0,9.0,https://pypi.org/project/finetune,2020-01-10 22:42:24.000000,2.0,95.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n691,vecstack,vecxoz/vecstack,,others,https://github.com/vecxoz/vecstack,https://github.com/vecxoz/vecstack,MIT,2016-11-08 13:23:21.000000,2020-09-14 08:31:07.000000,2019-10-30 09:27:48.000000,74,,38.0,639.0,189.0,Python package for stacking (machine learning technique).,1.0,19,False,2019-08-12 16:09:01.000000,0.4.0,6.0,vecstack,,,,4228.0,180.0,172.0,https://pypi.org/project/vecstack,2019-08-12 16:01:22.000000,8.0,4228.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n692,Torchbearer,pytorchbearer/torchbearer,,ml-frameworks,https://github.com/pytorchbearer/torchbearer,https://github.com/pytorchbearer/torchbearer,MIT,2018-03-12 16:30:42.000000,2021-03-26 19:56:57.000000,2021-03-26 19:56:57.000000,68,8.0,237.0,614.0,430.0,torchbearer: A model fitting library for PyTorch.,13.0,19,True,2020-01-31 14:07:22.000000,0.5.3,24.0,torchbearer,,['pytorch'],,261.0,62.0,56.0,https://pypi.org/project/torchbearer,2020-01-31 14:05:56.000000,6.0,261.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n693,Dragonfly,dragonfly/dragonfly,,hyperopt,https://github.com/dragonfly/dragonfly,https://github.com/dragonfly/dragonfly,MIT,2018-04-20 22:19:50.000000,2021-07-31 04:54:26.000000,2020-07-03 18:01:17.000000,199,32.0,18.0,610.0,397.0,An open source python library for scalable Bayesian optimisation.,12.0,19,False,2020-07-03 18:05:12.000000,0.1.6,9.0,dragonfly-opt,,,,26966.0,2.0,,https://pypi.org/project/dragonfly-opt,2020-07-03 18:05:12.000000,2.0,26966.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n694,Tensor Sensor,parrt/tensor-sensor,,pytorch-utils,https://github.com/parrt/tensor-sensor,https://github.com/parrt/tensor-sensor,MIT,2020-08-28 22:54:04.000000,2021-12-09 00:41:28.000000,2021-11-15 22:34:39.000000,30,10.0,14.0,605.0,207.0,\"The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy,..\",3.0,19,True,2021-09-27 20:15:04.000000,0.1.3,36.0,tensor-sensor,,['pytorch'],,801.0,7.0,7.0,https://pypi.org/project/tensor-sensor,2021-09-27 20:15:04.000000,,801.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n695,baikal,alegonz/baikal,,others,https://github.com/alegonz/baikal,https://github.com/alegonz/baikal,BSD-3-Clause,2019-01-21 12:59:02.000000,2021-11-04 20:09:22.632000,2021-04-11 07:50:00.000000,29,6.0,14.0,585.0,405.0,A graph-based functional API for building complex scikit-learn pipelines.,2.0,19,True,2020-11-15 13:40:18.000000,0.4.2,8.0,baikal,conda-forge/cython-blis,,,34940.0,3.0,3.0,https://pypi.org/project/baikal,2020-11-15 13:40:18.000000,0.0,161.0,https://anaconda.org/conda-forge/cython-blis,2021-11-04 20:09:22.632000,1147725.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n696,pyhsmm,mattjj/pyhsmm,,probabilistics,https://github.com/mattjj/pyhsmm,https://github.com/mattjj/pyhsmm,MIT,2012-03-18 17:40:13.000000,2020-09-29 20:58:26.000000,2020-08-24 17:03:59.000000,159,39.0,60.0,504.0,1426.0,Bayesian inference in HSMMs and HMMs.,13.0,19,False,2017-05-10 17:14:37.000000,0.1.7,8.0,pyhsmm,,,,113.0,31.0,23.0,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37.000000,8.0,113.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n697,aequitas,dssg/aequitas,,interpretability,https://github.com/dssg/aequitas,https://github.com/dssg/aequitas,MIT,2018-02-13 19:40:30.000000,2021-07-13 10:19:56.000000,2021-05-27 09:45:10.000000,81,37.0,21.0,438.0,857.0,Bias and Fairness Audit Toolkit.,16.0,19,True,2020-12-16 11:48:14.000000,0.42.0,16.0,aequitas,,,,790.0,93.0,87.0,https://pypi.org/project/aequitas,2020-12-16 11:48:14.000000,6.0,790.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n698,apricot,jmschrei/apricot,,others,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12.000000,2021-11-18 21:06:56.000000,2021-11-18 21:06:54.000000,40,5.0,18.0,381.0,172.0,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,4.0,19,True,2020-09-28 07:19:15.000000,0.6.0,13.0,apricot-select,,,9.0,168.0,21.0,21.0,https://pypi.org/project/apricot-select,2020-09-28 07:19:15.000000,0.0,168.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n699,Case Recommender,caserec/CaseRecommender,,recommender-systems,https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39.000000,2021-11-25 23:19:05.000000,2021-11-25 23:08:43.000000,77,7.0,20.0,369.0,204.0,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems.,11.0,19,True,2021-11-25 23:19:05.000000,1.1.1,42.0,caserecommender,,['sklearn'],,358.0,9.0,9.0,https://pypi.org/project/caserecommender,2021-11-25 23:19:05.000000,,358.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n700,DESlib,scikit-learn-contrib/DESlib,,sklearn-utils,https://github.com/scikit-learn-contrib/DESlib,https://github.com/scikit-learn-contrib/DESlib,BSD-3-Clause,2017-12-08 22:49:49.000000,2021-10-10 00:13:26.000000,2021-10-10 00:13:26.000000,73,14.0,129.0,362.0,273.0,A Python library for dynamic classifier and ensemble selection.,13.0,19,True,2021-02-08 06:29:25.000000,0.3.5,4.0,deslib,,['sklearn'],,770.0,22.0,22.0,https://pypi.org/project/deslib,2021-02-08 06:29:25.000000,0.0,770.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n701,Auto TS,AutoViML/Auto_TS,,time-series-data,https://github.com/AutoViML/Auto_TS,https://github.com/AutoViML/Auto_TS,Apache-2.0,2020-02-15 15:23:32.000000,2021-12-07 02:37:46.000000,2021-12-07 02:36:42.000000,64,10.0,48.0,341.0,242.0,\"Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of..\",6.0,19,True,2021-12-06 01:45:13.000000,0.0.44,23.0,auto-ts,,,,1159.0,,,https://pypi.org/project/auto-ts,2021-12-07 02:37:46.000000,,1159.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n702,quinn,MrPowers/quinn,,ml-experiments,https://github.com/MrPowers/quinn,https://github.com/MrPowers/quinn,Apache-2.0,2017-09-15 13:02:42.000000,2021-03-27 14:31:44.000000,2021-02-09 04:48:07.000000,37,17.0,9.0,297.0,110.0,pyspark methods to enhance developer productivity.,6.0,19,False,2021-02-06 15:21:04.000000,0.9.0,12.0,quinn,,['spark'],,235616.0,6.0,,https://pypi.org/project/quinn,2021-02-06 15:21:04.000000,6.0,235616.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n703,chefboost,serengil/chefboost,,ml-frameworks,https://github.com/serengil/chefboost,https://github.com/serengil/chefboost,MIT,2019-03-06 12:26:27.000000,2021-12-05 09:28:47.000000,2021-11-03 06:31:33.000000,76,2.0,15.0,286.0,327.0,\"A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some..\",5.0,19,False,2021-06-28 19:23:52.000000,0.0.13,13.0,chefboost,,,,341.0,17.0,17.0,https://pypi.org/project/chefboost,2021-06-28 19:23:52.000000,,341.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n704,pandas-ml,pandas-ml/pandas-ml,,others,https://github.com/pandas-ml/pandas-ml,https://github.com/pandas-ml/pandas-ml,BSD-3-Clause,2015-02-21 03:14:04.000000,2020-08-14 12:29:33.000000,2019-03-05 01:36:55.000000,61,24.0,17.0,280.0,153.0,\"pandas, scikit-learn, xgboost and seaborn integration.\",4.0,19,False,2019-03-05 01:36:12.000000,0.6.1,9.0,pandas-ml,,\"['sklearn', 'pandas']\",5.0,1844.0,10.0,,https://pypi.org/project/pandas-ml,2019-03-05 01:35:23.000000,10.0,1844.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n705,sk-dist,Ibotta/sk-dist,,distributed-ml,https://github.com/Ibotta/sk-dist,https://github.com/Ibotta/sk-dist,Apache-2.0,2019-08-14 21:07:17.000000,2021-07-07 00:44:10.000000,2021-07-07 00:44:07.000000,47,7.0,10.0,270.0,58.0,Distributed scikit-learn meta-estimators in PySpark.,7.0,19,False,2020-05-14 22:20:14.000000,0.1.9,12.0,sk-dist,,\"['sklearn', 'spark']\",,30930.0,10.0,8.0,https://pypi.org/project/sk-dist,2020-05-14 22:20:14.000000,2.0,30930.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n706,Brainiak,brainiak/brainiak,,medical-data,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27.000000,2021-12-03 01:07:31.000000,2021-05-28 01:21:58.000000,123,72.0,123.0,260.0,393.0,Brain Imaging Analysis Kit.,33.0,19,False,2019-08-27 23:52:29.000000,0.9.1,15.0,brainiak,,,,118.0,16.0,15.0,https://pypi.org/project/brainiak,2020-10-15 20:45:08.000000,1.0,109.0,,,,3.0,,,brainiak/brainiak,https://hub.docker.com/r/brainiak/brainiak,2020-10-15 21:11:03.379549,1.0,678.0,,,,,,,,,,,,,,,,,,,\n707,ivis,beringresearch/ivis,,data-viz,https://github.com/beringresearch/ivis,https://github.com/beringresearch/ivis,Apache-2.0,2018-08-13 08:31:01.000000,2021-11-08 17:08:45.000000,2021-11-08 17:08:42.000000,26,3.0,50.0,253.0,611.0,Dimensionality reduction in very large datasets using Siamese Networks.,10.0,19,False,2021-10-17 09:48:21.000000,2.06,32.0,ivis,,['tensorflow'],,331.0,19.0,19.0,https://pypi.org/project/ivis,2021-10-17 09:46:36.000000,0.0,331.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n708,fairness-indicators,tensorflow/fairness-indicators,,interpretability,https://github.com/tensorflow/fairness-indicators,https://github.com/tensorflow/fairness-indicators,Apache-2.0,2019-09-30 22:56:45.000000,2021-12-03 20:30:47.000000,2021-12-03 19:26:37.000000,68,12.0,8.0,239.0,279.0,Tensorflow's Fairness Evaluation and Visualization Toolkit.,25.0,19,False,2021-12-03 20:30:47.000000,0.36.0,22.0,fairness-indicators,,\"['tensorflow', 'jupyter']\",,637.0,,,https://pypi.org/project/fairness-indicators,2021-12-03 20:30:47.000000,,637.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n709,gokart,m3dev/gokart,,ml-experiments,https://github.com/m3dev/gokart,https://github.com/m3dev/gokart,MIT,2018-12-23 07:40:27.000000,2021-11-16 10:27:07.000000,2021-11-16 10:27:07.000000,38,14.0,51.0,227.0,449.0,\"Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning..\",29.0,19,False,2021-10-15 10:18:50.000000,1.0.6,61.0,gokart,,,,398.0,2.0,,https://pypi.org/project/gokart,2020-02-25 06:01:19.000000,2.0,398.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n710,pymap3d,geospace-code/pymap3d,,geospatial-data,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03.000000,2021-11-28 17:12:07.000000,2021-11-28 17:12:04.000000,61,2.0,30.0,219.0,,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,11.0,19,False,2021-11-22 06:36:42.000000,2.7.3,51.0,pymap3d,conda-forge/pymap3d,,,32675.0,6.0,,https://pypi.org/project/pymap3d,2021-10-18 21:07:53.000000,6.0,31922.0,https://anaconda.org/conda-forge/pymap3d,2021-10-19 05:47:09.404000,15827.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n711,fletcher,xhochy/fletcher,,data-containers,https://github.com/xhochy/fletcher,https://github.com/xhochy/fletcher,MIT,2018-03-04 16:44:22.000000,2021-11-04 09:30:27.570000,2021-02-18 14:46:18.000000,34,34.0,40.0,219.0,520.0,Pandas ExtensionDType/Array backed by Apache Arrow.,24.0,19,False,2021-01-17 20:11:01.000000,0.7.2,16.0,fletcher,conda-forge/fletcher,['pandas'],13.0,1073.0,3.0,3.0,https://pypi.org/project/fletcher,2021-01-17 20:11:01.000000,0.0,215.0,https://anaconda.org/conda-forge/fletcher,2021-11-04 09:30:27.570000,35193.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n712,Funsor,pyro-ppl/funsor,,probabilistics,https://github.com/pyro-ppl/funsor,https://github.com/pyro-ppl/funsor,Apache-2.0,2019-01-30 23:13:39.000000,2021-11-12 22:44:06.000000,2021-11-12 22:44:05.000000,14,73.0,73.0,184.0,560.0,Functional tensors for probabilistic programming.,9.0,19,False,2021-07-02 04:10:35.000000,0.4.1,7.0,funsor,,['pytorch'],,339.0,20.0,20.0,https://pypi.org/project/funsor,2021-07-02 04:09:26.000000,0.0,339.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n713,flupy,olirice/flupy,,data-pipelines,https://github.com/olirice/flupy,https://github.com/olirice/flupy,MIT,2018-01-06 16:46:04.000000,2021-11-05 17:01:59.000000,2021-11-05 17:01:56.000000,12,3.0,9.0,167.0,195.0,Fluent data pipelines for python and your shell.,6.0,19,False,2021-10-15 12:35:59.000000,1.1.9,37.0,flupy,,,,24736.0,0.0,,https://pypi.org/project/flupy,2021-10-15 12:35:59.000000,0.0,24736.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n714,featurewiz,AutoViML/featurewiz,,hyperopt,https://github.com/AutoViML/featurewiz,https://github.com/AutoViML/featurewiz,Apache-2.0,2020-11-29 16:46:16.000000,2021-11-20 13:39:21.000000,2021-11-20 13:39:21.000000,27,6.0,1.0,95.0,,Use advanced feature engineering strategies and select best features from your data set with a single line of code.,3.0,19,False,2021-11-10 13:54:30.000000,0.0.51,45.0,featurewiz,,,,74620.0,3.0,3.0,https://pypi.org/project/featurewiz,2021-11-10 13:54:30.000000,,74620.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n715,TTS,mozilla/TTS,,audio,https://github.com/mozilla/TTS,https://github.com/mozilla/TTS,MPL-2.0,2018-01-23 14:22:06.000000,2021-08-10 18:22:41.000000,2021-02-12 10:36:31.000000,841,14.0,506.0,5392.0,2184.0,Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts).,56.0,18,True,2021-01-29 00:03:56.000000,0.0.9,1.0,,,,1498.0,136.0,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n716,graph-nets,deepmind/graph_nets,,graph,https://github.com/deepmind/graph_nets,https://github.com/deepmind/graph_nets,Apache-2.0,2018-08-31 08:19:28.000000,2020-12-04 17:43:48.000000,2020-12-04 17:43:47.000000,763,7.0,118.0,5048.0,47.0,Build Graph Nets in Tensorflow.,10.0,18,True,2020-01-29 16:00:25.000000,1.1.0,7.0,graph-nets,,['tensorflow'],,633.0,7.0,,https://pypi.org/project/graph-nets,2020-01-29 16:00:25.000000,7.0,633.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n717,BytePS,bytedance/byteps,,distributed-ml,https://github.com/bytedance/byteps,https://github.com/bytedance/byteps,Apache-2.0,2019-06-25 07:00:13.000000,2021-10-12 17:02:08.000000,2021-10-12 16:17:49.000000,423,100.0,155.0,3024.0,427.0,A high performance and generic framework for distributed DNN training.,19.0,18,True,2020-08-27 15:42:13.000000,0.2.4,8.0,byteps,,,,72.0,,,https://pypi.org/project/byteps,2021-08-02 17:37:42.000000,,33.0,,,,3.0,,,bytepsimage/tensorflow,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,1199.0,,,,,,,,,,,,,,,,,,,\n718,LIT,PAIR-code/lit,,interpretability,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000000,2021-12-06 20:34:45.000000,2021-11-14 21:25:56.000000,270,77.0,61.0,2719.0,,The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and..,17.0,18,True,2021-11-09 03:06:04.000000,0.4,6.0,lit-nlp,,,,236.0,7.0,7.0,https://pypi.org/project/lit-nlp,2021-11-09 03:07:05.000000,,236.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n719,cuML,rapidsai/cuml,,gpu-utilities,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000000,2021-12-09 14:48:40.000000,2021-12-08 18:10:45.000000,367,656.0,1282.0,2486.0,,cuML - RAPIDS Machine Learning Library.,144.0,18,True,2021-12-08 19:17:51.000000,21.12.00,19.0,cuml,,,,384.0,0.0,,https://pypi.org/project/cuml,2020-06-01 20:09:10.000000,0.0,384.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n720,opyrator,ml-tooling/opyrator,,others,https://github.com/ml-tooling/opyrator,https://github.com/ml-tooling/opyrator,MIT,2021-04-06 08:09:06.000000,2021-12-06 02:13:12.000000,2021-05-06 12:10:38.000000,106,14.0,22.0,2476.0,,\"Turns your machine learning code into microservices with web API, interactive GUI, and more.\",4.0,18,True,2021-05-04 18:48:03.000000,0.0.12,11.0,opyrator,,,,157.0,26.0,26.0,https://pypi.org/project/opyrator,2021-05-04 18:48:03.000000,,157.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n721,Coach,IntelLabs/coach,,reinforcement-learning,https://github.com/IntelLabs/coach,https://github.com/IntelLabs/coach,Apache-2.0,2017-10-01 19:27:43.000000,2021-08-21 06:45:37.000000,2021-06-28 07:40:53.000000,407,87.0,183.0,2083.0,521.0,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,35.0,18,True,2019-10-10 14:17:10.000000,1.0.1,13.0,rl_coach,,,,103.0,2.0,,https://pypi.org/project/rl_coach,2019-10-10 14:17:10.000000,2.0,103.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n722,Backtesting.py,kernc/backtesting.py,,financial-data,https://github.com/kernc/backtesting.py,https://github.com/kernc/backtesting.py,AGPL-3.0,2019-01-02 03:11:32.000000,2021-10-15 10:47:14.000000,2021-10-14 09:35:40.000000,405,44.0,226.0,1944.0,245.0,Backtest trading strategies in Python.,15.0,18,False,2017-07-22 02:00:06.000000,0.0.1,1.0,backtesting,,,,6057.0,2.0,,https://pypi.org/project/backtesting,2017-07-22 02:00:06.000000,2.0,6057.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n723,NeuroNER,Franck-Dernoncourt/NeuroNER,,nlp,https://github.com/Franck-Dernoncourt/NeuroNER,https://github.com/Franck-Dernoncourt/NeuroNER,MIT,2017-03-07 01:24:15.000000,2021-10-16 02:17:23.000000,2019-10-02 23:26:11.000000,447,82.0,67.0,1578.0,132.0,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,7.0,18,False,2019-10-02 23:30:15.000000,1.0.8,7.0,pyneuroner,,,,149.0,,,https://pypi.org/project/pyneuroner,2019-10-02 23:30:15.000000,,149.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n724,Antialiased CNNs,adobe/antialiased-cnns,,pytorch-utils,https://github.com/adobe/antialiased-cnns,https://github.com/adobe/antialiased-cnns,CC BY-NC-SA 4.0,2019-05-14 20:51:25.000000,2021-09-29 18:48:52.000000,2021-09-29 18:48:52.000000,185,11.0,31.0,1458.0,239.0,pip install antialiased-cnns to improve stability and accuracy.,6.0,18,False,2020-10-23 22:45:52.000000,0.3,6.0,antialiased-cnns,,['pytorch'],,698.0,11.0,11.0,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49.000000,0.0,698.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n725,Optimus,hi-primus/optimus,,data-pipelines,https://github.com/hi-primus/optimus,https://github.com/hi-primus/optimus,Apache-2.0,2017-07-13 02:31:18.000000,2021-12-09 01:20:59.000000,2021-12-09 01:20:57.000000,205,30.0,195.0,1144.0,1.0,\"Agile Data Preparation Workflows madeeasy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark.\",25.0,18,True,2020-07-19 03:05:40.000000,2.2.32,85.0,optimuspyspark,,['spark'],,2149.0,,,https://pypi.org/project/optimuspyspark,2019-05-30 02:22:54.000000,,2149.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n726,sklearn-porter,nok/sklearn-porter,,model-serialisation,https://github.com/nok/sklearn-porter,https://github.com/nok/sklearn-porter,MIT,2016-06-22 22:21:34.000000,2021-11-23 15:46:59.000000,2019-12-18 13:31:50.000000,142,42.0,29.0,1109.0,699.0,\"Transpile trained scikit-learn estimators to C, Java, JavaScript and others.\",11.0,18,False,2019-12-18 13:39:19.000000,0.7.4,20.0,sklearn-porter,,['sklearn'],,243.0,1.0,,https://pypi.org/project/sklearn-porter,2019-12-18 13:39:19.000000,1.0,243.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n727,Sockeye,awslabs/sockeye,,nlp,https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30.000000,2021-12-08 12:50:53.000000,2021-12-08 12:50:49.000000,303,15.0,248.0,1035.0,,Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch.,54.0,18,True,2021-11-30 09:51:37.000000,3.0.0,67.0,sockeye,,['mxnet'],12.0,272.0,2.0,,https://pypi.org/project/sockeye,2021-11-30 09:51:37.000000,2.0,272.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n728,Fiber,uber/fiber,,distributed-ml,https://github.com/uber/fiber,https://github.com/uber/fiber,Apache-2.0,2020-01-07 18:16:24.000000,2021-06-30 02:02:42.000000,2021-03-15 07:00:08.000000,102,20.0,8.0,946.0,66.0,Distributed Computing for AI Made Simple.,5.0,18,True,2020-07-09 03:28:28.000000,0.2.1,6.0,fiber,,,,1259.0,30.0,29.0,https://pypi.org/project/fiber,2020-07-09 03:28:28.000000,1.0,1259.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n729,Hivemind,learning-at-home/hivemind,,distributed-ml,https://github.com/learning-at-home/hivemind,https://github.com/learning-at-home/hivemind,MIT,2020-02-27 13:50:19.000000,2021-12-07 14:25:42.000000,2021-12-06 00:12:35.000000,55,45.0,64.0,873.0,463.0,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,19.0,18,True,2021-08-26 08:49:41.000000,0.10.0,14.0,hivemind,,,,35.0,5.0,4.0,https://pypi.org/project/hivemind,2021-08-26 08:49:41.000000,1.0,35.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n730,mrq,pricingassistant/mrq,,data-pipelines,https://github.com/pricingassistant/mrq,https://github.com/pricingassistant/mrq,MIT,2014-02-13 09:32:40.000000,2021-05-19 17:32:27.000000,2020-12-13 18:58:15.000000,113,59.0,119.0,857.0,709.0,Mr. Queue - A distributed worker task queue in Python using Redis & gevent.,37.0,18,True,2018-08-31 16:03:04.000000,0.9.10,70.0,mrq,,,,136.0,39.0,27.0,https://pypi.org/project/mrq,2018-08-31 16:03:04.000000,12.0,136.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n731,pytorch2keras,gmalivenko/pytorch2keras,,model-serialisation,https://github.com/gmalivenko/pytorch2keras,https://github.com/gmalivenko/pytorch2keras,MIT,2017-11-16 20:21:43.000000,2021-09-28 21:39:06.000000,2021-08-06 08:18:46.000000,127,50.0,67.0,762.0,282.0,PyTorch to Keras model convertor.,13.0,18,True,2020-05-14 10:03:56.000000,0.2.4,23.0,pytorch2keras,,,,362.0,25.0,24.0,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56.000000,1.0,362.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n732,Performer Pytorch,lucidrains/performer-pytorch,,pytorch-utils,https://github.com/lucidrains/performer-pytorch,https://github.com/lucidrains/performer-pytorch,MIT,2020-10-03 03:41:36.000000,2021-11-07 01:03:14.000000,2021-11-07 01:02:14.000000,101,27.0,41.0,752.0,,\"An implementation of Performer, a linear attention-based transformer, in Pytorch.\",6.0,18,True,2021-11-07 01:03:14.000000,1.1.3,79.0,performer-pytorch,,['pytorch'],,652.0,33.0,33.0,https://pypi.org/project/performer-pytorch,2021-11-07 01:03:14.000000,0.0,652.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n733,Saliency,PAIR-code/saliency,,tensorflow-utils,https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35.000000,2021-07-28 22:22:28.000000,2021-07-28 22:22:27.000000,159,14.0,26.0,747.0,79.0,\"Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).\",14.0,18,True,2021-05-03 16:33:29.000000,0.1.3,10.0,saliency,,['tensorflow'],,471.0,21.0,19.0,https://pypi.org/project/saliency,2021-05-03 16:33:29.000000,2.0,471.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n734,avalanche,ContinualAI/avalanche,,others,https://github.com/ContinualAI/avalanche,https://github.com/ContinualAI/avalanche,MIT,2020-03-05 11:32:13.000000,2021-12-05 05:54:17.000000,2021-12-01 09:12:44.000000,104,71.0,373.0,681.0,2246.0,Avalanche: an End-to-End Library for Continual Learning.,46.0,18,True,2021-11-05 17:05:51.000000,0.1.0,2.0,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n735,AlphaPy,ScottfreeLLC/AlphaPy,,hyperopt,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32.000000,2021-10-23 07:17:16.000000,2021-10-23 07:17:16.000000,142,11.0,29.0,672.0,413.0,\"Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost.\",3.0,18,True,2020-08-29 18:48:20.000000,2.5.0,25.0,alphapy,,,,157.0,3.0,3.0,https://pypi.org/project/alphapy,2020-08-29 18:44:15.000000,,157.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n736,matrixprofile-ts,target/matrixprofile-ts,,time-series-data,https://github.com/target/matrixprofile-ts,https://github.com/target/matrixprofile-ts,Apache-2.0,2018-09-10 19:03:34.000000,2020-04-25 18:38:20.000000,2020-04-25 18:37:42.000000,92,19.0,34.0,668.0,198.0,A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile.,15.0,18,False,2019-08-08 01:24:38.000000,0.0.9,9.0,matrixprofile-ts,,,,879.0,17.0,17.0,https://pypi.org/project/matrixprofile-ts,2019-08-08 01:24:38.000000,,879.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n737,whylogs,whylabs/whylogs,,data-pipelines,https://github.com/whylabs/whylogs,https://github.com/whylabs/whylogs,Apache-2.0,2020-08-14 23:25:32.000000,2021-12-09 12:31:56.000000,2021-12-01 20:42:05.000000,32,36.0,58.0,643.0,,Open standard for end-to-end data and ML monitoring for any scale in any infrastructure.,22.0,18,True,2021-11-30 21:09:07.000000,0.6.15,104.0,whylogs,,,47.0,1281.0,,,https://pypi.org/project/whylogs,2021-11-30 21:09:07.000000,,1279.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n738,robustness,MadryLab/robustness,,adversarial,https://github.com/MadryLab/robustness,https://github.com/MadryLab/robustness,MIT,2019-08-21 09:26:33.000000,2021-11-30 00:11:07.000000,2021-11-30 00:11:07.000000,117,12.0,54.0,632.0,141.0,\"A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.\",13.0,18,True,2020-12-01 06:11:12.000000,1.2.1.post2,10.0,robustness,,,,504.0,68.0,66.0,https://pypi.org/project/robustness,2020-12-01 06:21:33.000000,2.0,504.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n739,N2,kakao/n2,,nn-search,https://github.com/kakao/n2,https://github.com/kakao/n2,Apache-2.0,2017-11-23 02:27:59.000000,2021-05-20 05:41:36.000000,2021-05-20 05:39:44.000000,61,17.0,20.0,498.0,242.0,TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets.,18.0,18,True,2020-10-16 03:43:47.000000,0.1.7,9.0,n2,,,,290.0,25.0,21.0,https://pypi.org/project/n2,2020-10-16 03:10:01.000000,4.0,290.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n740,tcav,tensorflow/tcav,,interpretability,https://github.com/tensorflow/tcav,https://github.com/tensorflow/tcav,Apache-2.0,2018-07-03 17:45:35.000000,2021-11-10 19:43:31.000000,2021-09-16 17:56:31.000000,118,3.0,52.0,498.0,171.0,Code for the TCAV ML interpretability project.,19.0,18,True,2021-02-23 16:17:42.000000,0.2.2,4.0,tcav,,['tensorflow'],,84.0,13.0,11.0,https://pypi.org/project/tcav,2021-02-23 16:17:42.000000,2.0,84.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n741,seglearn,dmbee/seglearn,,time-series-data,https://github.com/dmbee/seglearn,https://github.com/dmbee/seglearn,BSD-3-Clause,2018-03-05 20:53:59.000000,2021-03-13 16:18:30.000000,2021-03-12 17:12:50.000000,52,5.0,23.0,481.0,268.0,Python module for machine learning time series:.,13.0,18,True,2021-03-13 16:18:30.000000,1.2.3,22.0,seglearn,,,,726.0,12.0,11.0,https://pypi.org/project/seglearn,2021-03-13 16:18:30.000000,1.0,726.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n742,LOFO,aerdem4/lofo-importance,,interpretability,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46.000000,2021-10-04 13:21:59.000000,2021-10-04 13:20:39.000000,49,4.0,13.0,423.0,26.0,Leave One Feature Out Importance.,3.0,18,True,2021-10-04 13:21:59.000000,0.3.1,11.0,lofo-importance,,,,275.0,6.0,6.0,https://pypi.org/project/lofo-importance,2021-10-04 13:21:59.000000,,275.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n743,animatplot,t-makaro/animatplot,,data-viz,https://github.com/t-makaro/animatplot,https://github.com/t-makaro/animatplot,MIT,2017-04-03 00:54:04.000000,2021-04-07 10:46:25.000000,2020-10-05 06:14:18.000000,35,17.0,17.0,386.0,178.0,A python package for animating plots build on matplotlib.,7.0,18,False,2020-10-05 06:20:52.000000,0.4.2,10.0,animatplot,conda-forge/animatplot,,,326.0,31.0,29.0,https://pypi.org/project/animatplot,2020-10-05 06:20:52.000000,2.0,117.0,https://anaconda.org/conda-forge/animatplot,2020-10-06 02:02:00.460000,7139.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n744,tick,X-DataInitiative/tick,,time-series-data,https://github.com/X-DataInitiative/tick,https://github.com/X-DataInitiative/tick,BSD-3-Clause,2016-12-01 10:59:08.000000,2020-08-11 12:36:43.000000,2020-06-15 12:01:36.000000,80,55.0,164.0,362.0,413.0,\"Module for statistical learning, with a particular emphasis on time-dependent modelling.\",16.0,18,False,2019-09-11 11:25:15.000000,0.6,23.0,tick,,,188.0,542.0,45.0,44.0,https://pypi.org/project/tick,2020-05-24 22:01:17.000000,1.0,539.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n745,Sherpa,sherpa-ai/sherpa,,hyperopt,https://github.com/sherpa-ai/sherpa,https://github.com/sherpa-ai/sherpa,GPL-3.0,2018-05-16 21:41:54.000000,2020-10-18 07:57:50.000000,2020-10-18 07:57:48.000000,48,14.0,41.0,307.0,823.0,\"Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.\",43.0,18,False,2020-07-31 05:29:09.000000,1.0.7,8.0,parameter-sherpa,,,,244.0,19.0,17.0,https://pypi.org/project/parameter-sherpa,2019-11-23 21:32:27.000000,2.0,244.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n746,elegy,poets-ai/elegy,,ml-frameworks,https://github.com/poets-ai/elegy,https://github.com/poets-ai/elegy,MIT,2020-06-30 14:00:37.000000,2021-11-16 03:15:56.000000,2021-11-16 03:15:56.000000,21,28.0,62.0,296.0,319.0,A High Level API for Deep Learning in JAX.,14.0,18,False,2021-11-08 21:19:03.000000,0.8.1,25.0,elegy,,\"['tensorflow', 'jax']\",,307.0,,,https://pypi.org/project/elegy,2021-11-08 21:19:03.000000,,307.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n747,textpipe,textpipe/textpipe,,nlp,https://github.com/textpipe/textpipe,https://github.com/textpipe/textpipe,MIT,2018-06-21 16:23:32.000000,2021-06-09 11:55:53.000000,2021-06-09 11:55:53.000000,22,24.0,25.0,293.0,371.0,Textpipe: clean and extract metadata from text.,28.0,18,False,2021-01-25 14:05:21.000000,0.12.2,39.0,textpipe,,,,1055.0,9.0,8.0,https://pypi.org/project/textpipe,2021-01-25 14:05:21.000000,1.0,1055.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n748,Julius,adefossez/julius,,audio,https://github.com/adefossez/julius,https://github.com/adefossez/julius,MIT,2020-10-26 10:54:21.000000,2021-10-20 08:30:11.000000,2021-10-20 08:28:45.000000,12,2.0,8.0,239.0,,Fast PyTorch based DSP for audio and 1D signals.,2.0,18,False,2021-10-20 08:30:11.000000,0.2.6,10.0,julius,,['pytorch'],,4655.0,48.0,48.0,https://pypi.org/project/julius,2021-10-20 08:30:11.000000,0.0,4655.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n749,model-card-toolkit,tensorflow/model-card-toolkit,,interpretability,https://github.com/tensorflow/model-card-toolkit,https://github.com/tensorflow/model-card-toolkit,Apache-2.0,2020-07-24 16:48:58.000000,2021-12-08 22:52:16.000000,2021-12-08 19:22:26.000000,40,15.0,2.0,239.0,174.0,a tool that leverages rich metadata and lineage information in MLMD to build a model card.,11.0,18,False,2021-09-02 22:08:38.000000,1.1.0,6.0,model-card-toolkit,,,,130.0,5.0,5.0,https://pypi.org/project/model-card-toolkit,2021-09-02 22:06:45.000000,,130.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n750,fastT5,Ki6an/fastT5,,nlp,https://github.com/Ki6an/fastT5,https://github.com/Ki6an/fastT5,Apache-2.0,2021-03-11 08:46:42.000000,2021-12-08 04:10:20.000000,2021-12-08 04:04:50.000000,27,11.0,17.0,233.0,24.0,boost inference speed of T5 models by 5x & reduce the model size by 3x.,4.0,18,False,2021-12-08 04:10:20.000000,0.0.9,9.0,fastt5,,,,372.0,6.0,6.0,https://pypi.org/project/fastt5,2021-12-08 04:10:20.000000,,372.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n751,skift,shaypal5/skift,,nlp,https://github.com/shaypal5/skift,https://github.com/shaypal5/skift,MIT,2018-02-03 11:37:21.000000,2021-10-10 22:59:31.000000,2021-03-31 10:11:20.000000,22,2.0,9.0,223.0,129.0,scikit-learn wrappers for Python fastText.,7.0,18,False,2020-08-27 15:01:05.000000,0.0.19,15.0,skift,,['sklearn'],,251.0,10.0,10.0,https://pypi.org/project/skift,2020-08-27 15:01:05.000000,,251.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n752,skggm,skggm/skggm,,sklearn-utils,https://github.com/skggm/skggm,https://github.com/skggm/skggm,MIT,2016-06-11 18:35:56.000000,2021-10-01 04:11:05.000000,2020-12-24 05:43:15.000000,34,28.0,47.0,190.0,691.0,Scikit-learn compatible estimation of general graphical models.,5.0,18,False,2018-09-12 01:12:49.000000,0.2.8,6.0,skggm,,['sklearn'],,55.0,10.0,8.0,https://pypi.org/project/skggm,2018-09-12 01:12:49.000000,2.0,55.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n753,textaugment,dsfsi/textaugment,,nlp,https://github.com/dsfsi/textaugment,https://github.com/dsfsi/textaugment,MIT,2019-05-06 12:28:19.000000,2021-09-15 07:35:53.000000,2021-09-15 07:35:53.000000,33,10.0,13.0,189.0,60.0,TextAugment: Text Augmentation Library.,5.0,18,False,2020-11-05 15:04:26.000000,1.3.4,8.0,textaugment,,,53.0,1491.0,12.0,12.0,https://pypi.org/project/textaugment,2020-11-05 15:02:11.000000,,1490.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n754,BatchFlow,analysiscenter/batchflow,,data-pipelines,https://github.com/analysiscenter/batchflow,https://github.com/analysiscenter/batchflow,Apache-2.0,2017-03-13 14:22:53.000000,2021-11-15 12:26:36.000000,2021-11-15 12:19:59.000000,37,40.0,67.0,168.0,4868.0,BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and..,30.0,18,False,2021-06-10 10:54:52.000000,0.5.0,7.0,batchflow,,,,28.0,,,https://pypi.org/project/batchflow,2021-06-10 10:54:52.000000,,28.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n755,DALI,NVIDIA/DALI,,gpu-utilities,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000000,2021-12-09 13:03:26.000000,2021-12-09 10:27:48.000000,452,146.0,924.0,3617.0,,A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to..,68.0,17,True,2021-11-22 18:51:41.000000,1.8.0,46.0,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n756,ReAgent,facebookresearch/ReAgent,,reinforcement-learning,https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000000,2021-12-08 23:34:16.000000,2021-12-08 23:33:50.000000,426,41.0,75.0,3071.0,1339.0,\"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).\",122.0,17,True,,,,,,['pytorch'],,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n757,Spotlight,maciejkula/spotlight,,recommender-systems,https://github.com/maciejkula/spotlight,https://github.com/maciejkula/spotlight,MIT,2017-06-25 18:52:19.000000,2020-11-15 08:21:28.000000,2020-02-09 21:03:48.000000,389,67.0,48.0,2615.0,299.0,Deep recommender models using PyTorch.,11.0,17,False,2019-09-08 10:19:53.000000,0.1.6,7.0,,maciejkula/spotlight,['pytorch'],,120.0,,,,,,,https://anaconda.org/maciejkula/spotlight,2018-05-27 18:32:12.235000,6529.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n758,spark-deep-learning,databricks/spark-deep-learning,,data-pipelines,https://github.com/databricks/spark-deep-learning,https://github.com/databricks/spark-deep-learning,Apache-2.0,2017-05-31 17:30:28.000000,2021-09-26 02:36:04.000000,2021-08-19 02:08:33.000000,456,75.0,27.0,1899.0,136.0,Deep Learning Pipelines for Apache Spark.,16.0,17,True,2020-01-08 19:50:31.000000,1.6.0,9.0,,,['spark'],,,19.0,19.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n759,Mara Pipelines,mara/mara-pipelines,,data-pipelines,https://github.com/mara/mara-pipelines,https://github.com/mara/mara-pipelines,MIT,2018-03-31 20:37:22.000000,2021-10-27 08:01:17.000000,2021-09-18 06:45:18.000000,85,11.0,12.0,1835.0,141.0,\"A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow.\",16.0,17,True,2021-01-23 22:34:03.000000,3.1.2,7.0,mara-pipelines,,,,21.0,8.0,8.0,https://pypi.org/project/mara-pipelines,2021-01-23 22:34:03.000000,,21.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n760,fast-bert,utterworks/fast-bert,,nlp,https://github.com/utterworks/fast-bert,https://github.com/utterworks/fast-bert,Apache-2.0,2019-04-18 22:01:20.000000,2021-09-23 12:14:23.000000,2021-08-31 13:59:28.000000,325,147.0,94.0,1677.0,,Super easy library for BERT based NLP models.,35.0,17,True,2021-05-23 14:35:28.000000,1.9.9,43.0,fast-bert,,,,1003.0,2.0,,https://pypi.org/project/fast-bert,2021-05-23 14:35:28.000000,2.0,1003.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n761,BlazingSQL,BlazingDB/blazingsql,,gpu-utilities,https://github.com/BlazingDB/blazingsql,https://github.com/BlazingDB/blazingsql,Apache-2.0,2018-09-24 18:25:45.000000,2021-10-08 18:42:47.000000,2021-09-30 21:51:09.000000,160,129.0,585.0,1649.0,,\"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.\",47.0,17,True,2021-08-16 15:40:43.000000,21.08.00,19.0,,blazingsql/blazingsql-protocol,,,34.0,,,,,,,https://anaconda.org/blazingsql/blazingsql-protocol,2019-11-11 19:54:17.621000,938.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n762,riko,nerevu/riko,,data-pipelines,https://github.com/nerevu/riko,https://github.com/nerevu/riko,MIT,2016-06-02 12:22:51.000000,2020-08-14 18:29:28.000000,2020-08-14 16:47:45.000000,72,22.0,8.0,1570.0,1257.0,A Python stream processing engine modeled after Yahoo! Pipes.,18.0,17,False,2020-08-14 18:29:28.000000,0.66.0,58.0,riko,,,,142.0,1.0,,https://pypi.org/project/riko,2020-08-14 18:29:28.000000,1.0,142.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n763,Advisor,tobegit3hub/advisor,,hyperopt,https://github.com/tobegit3hub/advisor,https://github.com/tobegit3hub/advisor,Apache-2.0,2017-09-14 03:50:33.000000,2019-11-11 07:09:57.869705,2019-11-11 06:59:31.000000,255,20.0,13.0,1417.0,165.0,Open-source implementation of Google Vizier for hyper parameters tuning.,11.0,17,False,2018-10-18 02:54:09.000000,0.1.6,4.0,advisor,,,,78.0,,,https://pypi.org/project/advisor,2018-10-18 02:54:09.000000,,46.0,,,,3.0,,,tobegit3hub/advisor,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1635.0,,,,,,,,,,,,,,,,,,,\n764,zenml,maiot-io/zenml,,data-pipelines,https://github.com/zenml-io/zenml,https://github.com/zenml-io/zenml,Apache-2.0,2020-11-19 09:25:46.000000,2021-12-09 15:01:50.000000,2021-12-08 10:29:08.000000,80,4.0,45.0,1408.0,,ZenML : MLOps framework to create reproducible ML pipelines for production machine learning.,20.0,17,True,2021-12-05 22:02:14.000000,0.5.4,41.0,zenml,,,,251.0,,,https://pypi.org/project/zenml,2021-12-05 22:05:52.000000,,251.0,,,,3.0,,,,,,,,,,,,,,,,,,zenml-io/zenml,,,,,,,,\n765,AdvBox,advboxes/AdvBox,,adversarial,https://github.com/advboxes/AdvBox,https://github.com/advboxes/AdvBox,Apache-2.0,2018-08-08 08:55:41.000000,2021-09-08 00:05:01.000000,2021-05-03 22:51:52.000000,240,8.0,29.0,1183.0,375.0,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,19.0,17,True,2018-12-05 02:48:50.000000,0.4.1,2.0,advbox,,,,21.0,,,https://pypi.org/project/advbox,2018-12-05 02:48:50.000000,,21.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n766,DIG,divelab/DIG,,graph,https://github.com/divelab/DIG,https://github.com/divelab/DIG,GPL-3.0,2020-10-30 03:51:15.000000,2021-11-30 18:55:43.000000,2021-11-30 18:55:35.000000,125,2.0,57.0,970.0,,A library for graph deep learning research.,28.0,17,False,2021-10-13 00:38:18.000000,0.1.2,10.0,dig,,,,217.0,8.0,,https://pypi.org/project/dig,2015-08-23 10:30:20.000000,8.0,217.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n767,Bounter,RaRe-Technologies/bounter,,data-containers,https://github.com/RaRe-Technologies/bounter,https://github.com/RaRe-Technologies/bounter,MIT,2017-07-18 07:24:15.000000,2021-09-19 00:43:46.000000,2021-05-24 07:29:54.000000,48,14.0,9.0,930.0,156.0,Efficient Counter that uses a limited (bounded) amount of memory regardless of data size.,8.0,17,True,2020-08-17 06:37:51.000000,1.1.1,7.0,bounter,,,,57.0,39.0,25.0,https://pypi.org/project/bounter,2020-08-17 06:37:51.000000,14.0,57.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n768,ecco,jalammar/ecco,,interpretability,https://github.com/jalammar/ecco,https://github.com/jalammar/ecco,BSD-3-Clause,2020-11-07 10:06:34.000000,2021-12-06 19:25:05.000000,2021-12-04 10:39:44.000000,58,11.0,15.0,930.0,,Visualize and explore NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks..,6.0,17,True,2021-08-02 08:50:55.000000,0.0.15,15.0,ecco,,['pytorch'],2.0,265.0,3.0,3.0,https://pypi.org/project/ecco,2021-08-02 08:50:55.000000,0.0,265.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n769,iNNvestigate,albermax/innvestigate,,interpretability,https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20.000000,2021-08-03 15:45:16.000000,2021-08-03 15:45:16.000000,199,71.0,163.0,918.0,943.0,A toolbox to iNNvestigate neural networks' predictions!.,19.0,17,True,2020-11-14 11:35:59.000000,1.0.9,2.0,innvestigate,,['tensorflow'],,195.0,1.0,,https://pypi.org/project/innvestigate,2020-11-14 11:35:59.000000,1.0,195.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n770,ADTK,arundo/adtk,,time-series-data,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22.000000,2021-07-18 06:52:12.000000,2020-04-17 02:27:44.000000,94,26.0,34.0,758.0,78.0,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,11.0,17,False,2020-04-17 02:18:00.000000,0.6.2,13.0,adtk,,,,27280.0,,,https://pypi.org/project/adtk,2020-04-17 02:18:00.000000,,27280.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n771,Tez,abhishekkrthakur/tez,,pytorch-utils,https://github.com/abhishekkrthakur/tez,https://github.com/abhishekkrthakur/tez,Apache-2.0,2020-11-13 10:19:22.000000,2021-10-01 10:49:27.000000,2021-09-27 14:42:42.000000,106,16.0,10.0,727.0,,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,1.0,17,True,2021-08-16 18:42:17.000000,0.1.8,13.0,tez,,['pytorch'],,939.0,17.0,17.0,https://pypi.org/project/tez,2021-08-16 12:38:36.000000,0.0,939.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n772,Vulkan Kompute,EthicalML/vulkan-kompute,,gpu-utilities,https://github.com/KomputeProject/kompute,https://github.com/KomputeProject/kompute,Apache-2.0,2020-07-29 05:23:33.000000,2021-11-17 08:24:46.000000,2021-11-17 08:24:46.000000,49,51.0,106.0,617.0,964.0,\"General purpose GPU compute framework for cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast,..\",16.0,17,True,2021-09-16 04:09:57.000000,0.8.0,12.0,kp,,,103.0,59.0,2.0,2.0,https://pypi.org/project/kp,2021-09-15 06:20:19.000000,,53.0,,,,3.0,,,,,,,,,,,,,,,,,,KomputeProject/kompute,,,,,,,,\n773,nboost,koursaros-ai/nboost,,nlp,https://github.com/koursaros-ai/nboost,https://github.com/koursaros-ai/nboost,Apache-2.0,2019-10-29 20:56:24.000000,2020-09-30 14:51:16.000000,2020-07-16 19:48:25.000000,65,29.0,50.0,600.0,1336.0,\"NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search..\",10.0,17,False,2020-06-12 20:05:15.000000,0.3.9,26.0,nboost,,,,43.0,3.0,3.0,https://pypi.org/project/nboost,2020-06-12 20:05:15.000000,,43.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n774,TF Compression,tensorflow/compression,,tensorflow-utils,https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19.000000,2021-12-07 10:23:50.000000,2021-10-26 22:08:24.000000,198,2.0,73.0,549.0,175.0,Data compression in TensorFlow.,10.0,17,True,2021-05-14 00:38:32.000000,2.2,11.0,tensorflow-compression,,['tensorflow'],,328.0,1.0,,https://pypi.org/project/tensorflow-compression,2021-05-14 00:25:53.000000,1.0,328.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n775,SKLL,EducationalTestingService/skll,,ml-experiments,https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,BSD-1-Clause,2013-08-02 14:31:46.000000,2021-12-08 22:02:15.000000,2021-12-08 19:44:50.000000,65,45.0,357.0,527.0,,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,36.0,17,False,2021-02-26 03:01:01.000000,2.5,64.0,skll,,['sklearn'],11.0,190.0,68.0,34.0,https://pypi.org/project/skll,2020-03-13 16:23:35.000000,34.0,190.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n776,Submit it,facebookincubator/submitit,,distributed-ml,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09.000000,2021-12-09 11:50:36.000000,2021-12-09 11:50:36.000000,45,25.0,31.0,511.0,,Python 3.6+ toolbox for submitting jobs to Slurm.,17.0,17,True,2021-11-30 13:57:53.000000,1.4.1,15.0,submitit,conda-forge/submitit,,,5621.0,0.0,,https://pypi.org/project/submitit,2021-11-30 13:57:53.000000,0.0,5308.0,https://anaconda.org/conda-forge/submitit,2021-02-10 12:48:57.745000,5016.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n777,Baal,ElementAI/baal,,probabilistics,https://github.com/ElementAI/baal,https://github.com/ElementAI/baal,Apache-2.0,2019-09-30 20:16:26.000000,2021-12-08 15:41:54.000000,2021-12-07 15:47:07.000000,46,18.0,43.0,477.0,146.0,Library to enable Bayesian active learning in your research or labeling work.,11.0,17,True,2021-10-12 17:54:54.000000,1.4.0,11.0,baal,,,,271.0,0.0,,https://pypi.org/project/baal,2021-10-12 17:53:39.000000,0.0,271.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n778,kale,kubeflow-kale/kale,,data-pipelines,https://github.com/kubeflow-kale/kale,https://github.com/kubeflow-kale/kale,Apache-2.0,2019-01-24 17:58:44.000000,2021-11-09 16:15:00.000000,2021-10-20 12:44:09.000000,88,83.0,72.0,466.0,644.0,Kubeflows superfood for Data Scientists.,10.0,17,True,2021-05-19 12:56:53.000000,0.7.0,15.0,kubeflow-kale,,['jupyter'],,528.0,,,https://pypi.org/project/kubeflow-kale,2021-05-19 12:56:53.000000,,528.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n779,BioPandas,rasbt/biopandas,,others,https://github.com/rasbt/biopandas,https://github.com/rasbt/biopandas,BSD-3-Clause,2015-11-21 00:00:14.000000,2021-09-24 00:14:13.000000,2021-09-24 00:11:37.000000,89,15.0,24.0,398.0,,Working with molecular structures in pandas DataFrames.,8.0,17,True,2021-08-30 11:52:40.000000,0.2.9,14.0,biopandas,conda-forge/biopandas,['pandas'],,2457.0,6.0,,https://pypi.org/project/biopandas,2021-09-24 00:14:13.000000,6.0,914.0,https://anaconda.org/conda-forge/biopandas,2021-08-31 18:19:35.536000,92582.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n780,Camphr,PKSHATechnology-Research/camphr,,nlp,https://github.com/PKSHATechnology-Research/camphr,https://github.com/PKSHATechnology-Research/camphr,Apache-2.0,2020-02-10 03:39:58.000000,2021-08-18 06:06:52.000000,2021-08-18 06:06:51.000000,17,2.0,25.0,342.0,1404.0,Camphr - NLP libary for creating pipeline components.,7.0,17,True,2021-07-28 07:48:46.000000,0.10.0,48.0,camphr,,['spacy'],,288.0,0.0,,https://pypi.org/project/camphr,2021-07-28 07:48:46.000000,0.0,288.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n781,bodywork-core,bodywork-ml/bodywork-core,,data-pipelines,https://github.com/bodywork-ml/bodywork-core,https://github.com/bodywork-ml/bodywork-core,AGPL-3.0,2020-11-17 11:38:17.000000,2021-11-21 16:03:07.000000,2021-07-05 08:09:48.000000,14,12.0,43.0,310.0,467.0,\"ML pipeline orchestration and model deployments on Kubernetes, made really easy.\",4.0,17,False,2021-07-05 08:15:59.000000,2.1.7,45.0,bodywork,,,,162.0,9.0,9.0,https://pypi.org/project/bodywork,2021-07-05 08:15:59.000000,,162.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n782,solt,MIPT-Oulu/solt,,image,https://github.com/MIPT-Oulu/solt,https://github.com/MIPT-Oulu/solt,MIT,2018-08-02 15:09:05.000000,2021-10-12 22:58:52.000000,2020-04-09 06:44:39.000000,19,17.0,30.0,251.0,336.0,Streaming over lightweight data transformations.,4.0,17,False,2020-03-10 14:09:31.000000,0.1.9,18.0,solt,,,,65.0,28.0,25.0,https://pypi.org/project/solt,2020-03-10 14:09:31.000000,3.0,65.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n783,DeepGraph,deepgraph/deepgraph,,graph,https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45.000000,2021-11-08 16:53:47.290000,2021-06-14 10:58:10.000000,36,9.0,5.0,246.0,162.0,Analyze Data with Pandas-based Networks. Documentation:.,2.0,17,False,2020-10-01 13:20:38.000000,0.2.3,13.0,deepgraph,conda-forge/deepgraph,['pandas'],,2367.0,2.0,2.0,https://pypi.org/project/deepgraph,2020-10-01 13:18:38.000000,,178.0,https://anaconda.org/conda-forge/deepgraph,2021-11-08 16:53:47.290000,113869.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n784,launchpad,deepmind/launchpad,,distributed-ml,https://github.com/deepmind/launchpad,https://github.com/deepmind/launchpad,Apache-2.0,2021-02-18 15:16:49.000000,2021-12-08 12:07:42.000000,2021-12-08 12:07:07.000000,16,,17.0,238.0,201.0,Launchpad is a library that simplifies writing distributed programs and seamlessly launching them on a range of..,13.0,17,False,2021-11-09 09:39:17.000000,0.3.2,5.0,dm-launchpad,,['tensorflow'],,769.0,2.0,2.0,https://pypi.org/project/dm-launchpad,2021-11-09 09:39:17.000000,,769.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n785,Muda,bmcfee/muda,,audio,https://github.com/bmcfee/muda,https://github.com/bmcfee/muda,ISC,2014-11-07 21:21:22.000000,2021-05-03 14:04:37.000000,2021-05-03 14:04:36.000000,34,5.0,44.0,196.0,293.0,A library for augmenting annotated audio data.,7.0,17,False,2019-11-15 15:46:21.000000,0.4.1,11.0,muda,,,,82.0,14.0,13.0,https://pypi.org/project/muda,2019-11-15 15:46:21.000000,1.0,82.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n786,nx-altair,Zsailer/nx_altair,,data-viz,https://github.com/Zsailer/nx_altair,https://github.com/Zsailer/nx_altair,MIT,2018-05-13 00:10:12.000000,2020-09-30 12:01:08.000000,2020-06-02 21:10:26.000000,21,6.0,4.0,181.0,51.0,Draw interactive NetworkX graphs with Altair.,3.0,17,False,2020-06-02 21:11:12.000000,0.1.6,8.0,nx-altair,,['jupyter'],,1942.0,4.0,,https://pypi.org/project/nx-altair,2020-06-02 21:11:12.000000,4.0,1942.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n787,Larq Compute Engine,larq/compute-engine,,model-serialisation,https://github.com/larq/compute-engine,https://github.com/larq/compute-engine,Apache-2.0,2019-08-29 15:02:43.000000,2021-12-07 10:36:22.000000,2021-12-07 10:36:21.000000,27,21.0,114.0,175.0,,Highly optimized inference engine for Binarized Neural Networks.,17.0,17,False,2021-09-08 21:44:17.000000,0.6.2,15.0,larq-compute-engine,,,327.0,344.0,4.0,4.0,https://pypi.org/project/larq-compute-engine,2021-09-08 21:44:17.000000,,330.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n788,celer,mathurinm/celer,,sklearn-utils,https://github.com/mathurinm/celer,https://github.com/mathurinm/celer,BSD-3-Clause,2018-02-20 19:37:31.000000,2021-10-28 10:16:13.000000,2021-10-28 09:58:54.000000,23,13.0,55.0,127.0,,\"Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.\",9.0,17,False,2021-10-28 09:58:28.000000,0.6.1,11.0,celer,,['sklearn'],,190.0,10.0,10.0,https://pypi.org/project/celer,2021-10-28 09:58:28.000000,,190.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n789,DE⫶TR,facebookresearch/detr,,image,https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52.000000,2021-11-28 09:13:56.000000,2021-10-18 10:06:31.000000,1358,130.0,266.0,8033.0,42.0,End-to-End Object Detection with Transformers.,24.0,16,True,2020-06-29 16:41:01.000000,0.2,1.0,,,['pytorch'],,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n790,DeepMind Lab,deepmind/lab,,reinforcement-learning,https://github.com/deepmind/lab,https://github.com/deepmind/lab,GPL-2.0,2016-11-30 13:41:26.000000,2021-11-01 21:58:46.000000,2021-07-21 17:50:32.000000,1323,50.0,160.0,6586.0,488.0,A customisable 3D platform for agent-based AI research.,7.0,16,False,2020-12-07 11:26:33.000000,release-2020-12-07,8.0,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n791,tinygrad,geohot/tinygrad,,pytorch-utils,https://github.com/geohot/tinygrad,https://github.com/geohot/tinygrad,MIT,2020-10-18 16:23:12.000000,2021-12-01 18:30:04.000000,2021-11-30 21:25:37.000000,568,21.0,82.0,5102.0,640.0,You like pytorch? You like micrograd? You love tinygrad!.,52.0,16,True,,,,,,['pytorch'],,,1.0,1.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n792,GraphEmbedding,shenweichen/GraphEmbedding,,graph,https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20.000000,2021-10-08 04:42:07.000000,2020-10-18 09:32:47.000000,736,38.0,14.0,2444.0,28.0,Implementation and experiments of graph embedding algorithms.,8.0,16,False,,,,,,['sklearn'],,,12.0,12.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n793,keepsake,replicate/keepsake,,ml-experiments,https://github.com/replicate/keepsake,https://github.com/replicate/keepsake,Apache-2.0,2020-07-01 04:37:44.000000,2021-12-09 02:01:00.000000,2021-05-07 00:33:52.000000,59,123.0,64.0,1527.0,,Version control for machine learning.,16.0,16,True,2021-03-11 21:15:01.000000,0.4.2,7.0,keepsake,,,,485.0,,,https://pypi.org/project/keepsake,2021-03-11 21:15:01.000000,,485.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n794,Lambda Networks,lucidrains/lambda-networks,,pytorch-utils,https://github.com/lucidrains/lambda-networks,https://github.com/lucidrains/lambda-networks,MIT,2020-10-08 19:01:15.000000,2020-11-18 19:54:34.000000,2020-11-18 19:54:30.000000,150,12.0,15.0,1497.0,,\"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.\",3.0,16,False,2020-11-18 08:19:23.000000,0.4.0,11.0,lambda-networks,,['pytorch'],,59.0,3.0,3.0,https://pypi.org/project/lambda-networks,2020-11-18 08:19:23.000000,,59.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n795,Xcessiv,reiinakano/xcessiv,,hyperopt,https://github.com/reiinakano/xcessiv,https://github.com/reiinakano/xcessiv,Apache-2.0,2017-03-07 18:18:25.000000,2018-06-06 22:23:37.000000,2017-08-21 00:51:15.000000,109,22.0,13.0,1260.0,316.0,\"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.\",6.0,16,False,2017-08-21 00:53:25.000000,0.5.1,34.0,xcessiv,,,,42.0,2.0,1.0,https://pypi.org/project/xcessiv,2017-08-21 00:49:41.000000,1.0,42.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n796,Botflow,kkyon/botflow,,data-pipelines,https://github.com/kkyon/botflow,https://github.com/kkyon/botflow,BSD-3-Clause,2018-08-20 03:13:31.000000,2020-12-31 09:03:22.000000,2019-05-23 14:40:50.000000,100,2.0,2.0,1177.0,192.0,\"Python Fast Dataflow programming framework for Data pipeline work( Web Crawler,Machine Learning,Quantitative..\",11.0,16,False,2018-09-14 14:38:32.000000,0.2.0,5.0,botflow,,,,25.0,1.0,1.0,https://pypi.org/project/botflow,2018-09-14 14:38:32.000000,,25.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n797,cuGraph,rapidsai/cugraph,,gpu-utilities,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000000,2021-12-08 19:15:15.000000,2021-12-07 18:05:38.000000,166,87.0,664.0,868.0,,cuGraph - RAPIDS Graph Analytics Library.,70.0,16,True,2021-12-08 19:15:16.000000,21.12.00,16.0,cugraph,,,,98.0,0.0,,https://pypi.org/project/cugraph,2020-06-01 20:09:06.000000,0.0,98.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n798,MedicalTorch,perone/medicaltorch,,medical-data,https://github.com/perone/medicaltorch,https://github.com/perone/medicaltorch,Apache-2.0,2018-02-27 02:50:07.000000,2021-12-04 23:52:48.000000,2021-04-16 18:50:54.000000,112,14.0,9.0,756.0,57.0,A medical imaging framework for Pytorch.,8.0,16,True,2018-11-24 00:33:11.000000,0.2,2.0,medicaltorch,,['pytorch'],,112.0,11.0,11.0,https://pypi.org/project/medicaltorch,2018-11-24 00:29:36.000000,,112.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n799,SpeedTorch,Santosh-Gupta/SpeedTorch,,gpu-utilities,https://github.com/Santosh-Gupta/SpeedTorch,https://github.com/Santosh-Gupta/SpeedTorch,MIT,2019-09-07 18:57:52.000000,2020-02-21 23:13:29.000000,2020-02-21 23:13:28.000000,39,4.0,2.0,644.0,170.0,Library for faster pinned CPU - GPU transfer in Pytorch.,3.0,16,False,2020-01-06 05:27:17.000000,0.1.6,14.0,SpeedTorch,,['pytorch'],,64.0,5.0,3.0,https://pypi.org/project/SpeedTorch,2020-01-06 05:27:17.000000,2.0,64.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n800,ThunderGBM,Xtra-Computing/thundergbm,,ml-frameworks,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08.000000,2021-11-23 01:55:15.000000,2021-01-05 04:22:15.000000,80,30.0,29.0,615.0,606.0,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,10.0,16,True,2020-05-01 23:16:25.000000,0.3.16,24.0,thundergbm,,,,60.0,,,https://pypi.org/project/thundergbm,2020-05-01 23:16:25.000000,,60.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n801,textflint,textflint/textflint,,adversarial,https://github.com/textflint/textflint,https://github.com/textflint/textflint,GPL-3.0,2021-03-06 11:15:52.000000,2021-12-07 08:54:59.000000,2021-10-08 13:25:47.000000,80,2.0,21.0,525.0,169.0,Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing.,12.0,16,False,2021-08-30 06:41:29.000000,0.0.5,5.0,textflint,,,,56.0,2.0,2.0,https://pypi.org/project/textflint,2021-08-30 06:41:29.000000,,56.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n802,Auto Tune Models,HDI-Project/ATM,,hyperopt,https://github.com/HDI-Project/ATM,https://github.com/HDI-Project/ATM,MIT,2016-10-14 18:03:00.000000,2020-02-21 17:44:07.000000,2020-02-21 17:40:58.000000,129,17.0,71.0,513.0,775.0,\"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).\",16.0,16,False,2019-07-30 09:28:26.000000,0.2.2,14.0,atm,,,,73.0,8.0,8.0,https://pypi.org/project/atm,2019-07-30 09:25:11.000000,,73.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n803,pytorch_tabular,manujosephv/pytorch_tabular,,tabular,https://github.com/manujosephv/pytorch_tabular,https://github.com/manujosephv/pytorch_tabular,MIT,2020-12-15 07:17:03.000000,2021-12-09 04:28:42.000000,2021-10-07 10:17:15.000000,44,16.0,29.0,489.0,,A standard framework for modelling Deep Learning Models for tabular data.,4.0,16,True,2021-09-01 11:51:30.000000,0.7.0,8.0,pytorch_tabular,,['pytorch'],,302.0,,,https://pypi.org/project/pytorch_tabular,2021-09-01 11:51:30.000000,,302.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n804,kglib,vaticle/kglib,,graph,https://github.com/vaticle/kglib,https://github.com/vaticle/kglib,Apache-2.0,2018-09-16 16:46:48.000000,2021-10-22 14:09:11.000000,2021-10-22 14:09:00.000000,85,12.0,49.0,480.0,488.0,Grakn Knowledge Graph Library (ML R&D).,7.0,16,True,2020-08-19 15:39:10.000000,0.2.2,7.0,grakn-kglib,,,211.0,53.0,,,https://pypi.org/project/grakn-kglib,2020-08-19 15:39:10.000000,,47.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n805,OpenRec,ylongqi/openrec,,recommender-systems,https://github.com/ylongqi/openrec,https://github.com/ylongqi/openrec,Apache-2.0,2017-11-29 16:04:40.000000,2021-11-10 19:40:54.000000,2020-02-19 07:57:17.000000,84,5.0,12.0,390.0,213.0,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms.,11.0,16,False,2020-02-18 06:52:11.000000,0.3.0,12.0,openrec,,,,34.0,2.0,1.0,https://pypi.org/project/openrec,2020-02-18 06:52:11.000000,1.0,34.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n806,Sematch,gsi-upm/sematch,,graph,https://github.com/gsi-upm/sematch,https://github.com/gsi-upm/sematch,Apache-2.0,2012-11-30 11:11:53.000000,2020-11-05 21:20:52.000000,2019-03-27 03:17:24.000000,101,14.0,19.0,368.0,122.0,semantic similarity framework for knowledge graph.,5.0,16,False,2017-04-17 10:56:52.000000,1.0.4,5.0,sematch,,,,138.0,32.0,29.0,https://pypi.org/project/sematch,2017-04-17 10:56:52.000000,3.0,138.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n807,carefree-learn,carefree0910/carefree-learn,,tabular,https://github.com/carefree0910/carefree-learn,https://github.com/carefree0910/carefree-learn,MIT,2020-06-17 17:44:17.000000,2021-11-24 16:17:44.000000,2021-11-24 16:17:41.000000,30,,80.0,354.0,194.0,Deep Learning PyTorch.,1.0,16,True,2021-10-29 05:39:15.000000,0.2.1,20.0,carefree-learn,,['pytorch'],,83.0,2.0,2.0,https://pypi.org/project/carefree-learn,2021-10-29 05:36:03.000000,,83.0,,,,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n808,pdvega,altair-viz/pdvega,,data-viz,https://github.com/altair-viz/pdvega,https://github.com/altair-viz/pdvega,MIT,2018-01-11 21:30:27.000000,2019-03-29 16:09:14.000000,2019-03-29 16:09:13.000000,30,16.0,10.0,338.0,177.0,Interactive plotting for Pandas using Vega-Lite.,9.0,16,False,,,1.0,pdvega,,,,77.0,66.0,59.0,https://pypi.org/project/pdvega,2018-02-01 04:56:43.000000,7.0,77.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n809,datmo,datmo/datmo,,ml-experiments,https://github.com/datmo/datmo,https://github.com/datmo/datmo,MIT,2017-11-03 05:46:43.000000,2021-06-01 22:48:33.000000,2019-11-29 00:48:44.000000,28,42.0,149.0,338.0,1051.0,Open source production model management tool for data scientists.,6.0,16,False,2018-12-07 06:16:42.000000,0.0.40,41.0,datmo,,,,73.0,5.0,5.0,https://pypi.org/project/datmo,2018-12-07 06:16:42.000000,,73.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n810,interpret-text,interpretml/interpret-text,,interpretability,https://github.com/interpretml/interpret-text,https://github.com/interpretml/interpret-text,MIT,2019-09-04 16:39:48.000000,2021-12-07 15:12:02.000000,2021-12-06 17:38:41.000000,53,58.0,16.0,287.0,146.0,A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the..,17.0,16,False,2021-12-07 15:12:02.000000,0.1.3,5.0,interpret-text,,['jupyter'],,53.0,,,https://pypi.org/project/interpret-text,2021-12-07 01:57:31.000000,,53.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n811,Parfit,jmcarpenter2/parfit,,hyperopt,https://github.com/jmcarpenter2/parfit,https://github.com/jmcarpenter2/parfit,MIT,2017-11-22 20:17:51.000000,2020-04-04 19:26:44.000000,2020-04-04 19:26:37.000000,25,6.0,5.0,199.0,127.0,\"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..\",2.0,16,False,,,23.0,parfit,,['sklearn'],,8941.0,9.0,9.0,https://pypi.org/project/parfit,2018-10-11 22:03:16.000000,,8941.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n812,lkpy,lenskit/lkpy,,recommender-systems,https://github.com/lenskit/lkpy,https://github.com/lenskit/lkpy,MIT,2018-06-08 21:05:10.000000,2021-11-12 01:30:50.433000,2021-11-08 21:58:32.000000,49,26.0,63.0,186.0,,Python recommendation toolkit.,13.0,16,False,2021-06-22 17:06:47.000000,0.13.1,20.0,lenskit,conda-forge/lenskit,,,1370.0,0.0,,https://pypi.org/project/lenskit,2021-06-22 17:07:09.000000,0.0,788.0,https://anaconda.org/conda-forge/lenskit,2021-11-12 01:30:50.433000,7573.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n813,ipyexperiments,stas00/ipyexperiments,,gpu-utilities,https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40.000000,2021-12-07 18:50:39.000000,2021-12-07 18:50:38.000000,10,1.0,5.0,142.0,203.0,jupyter/ipython experiment containers for GPU and general RAM re-use.,3.0,16,False,2021-12-07 18:44:34.000000,0.1.28,24.0,ipyexperiments,,['jupyter'],,80.0,7.0,5.0,https://pypi.org/project/ipyexperiments,2021-12-07 18:44:34.000000,2.0,80.0,,,,3.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,\n814,pyRDF2Vec,IBCNServices/pyRDF2Vec,,graph,https://github.com/IBCNServices/pyRDF2Vec,https://github.com/IBCNServices/pyRDF2Vec,MIT,2019-06-13 11:36:12.000000,2021-11-08 12:31:08.000000,2021-11-08 12:31:08.000000,24,3.0,40.0,135.0,1143.0,Python Implementation and Extension of RDF2Vec.,5.0,16,False,2021-06-09 10:56:14.000000,0.2.3,11.0,pyrdf2vec,,,,94.0,,,https://pypi.org/project/pyrdf2vec,2021-06-09 10:56:14.000000,,94.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n815,steppy,minerva-ml/steppy,,ml-experiments,https://github.com/minerva-ml/steppy,https://github.com/minerva-ml/steppy,MIT,2018-01-15 09:40:49.000000,2018-11-23 09:49:59.000000,2018-11-23 09:47:34.000000,33,16.0,50.0,132.0,69.0,\"Lightweight, Python library for fast and reproducible experimentation.\",5.0,16,False,2018-11-23 09:49:59.000000,0.1.16,16.0,steppy,,,,25.0,47.0,42.0,https://pypi.org/project/steppy,2018-11-23 09:49:59.000000,5.0,25.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n816,Feature Engine,solegalli/feature_engine,,others,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2020-08-06 19:43:35.639000,2021-11-09 20:33:15.000000,2021-08-06 12:03:40.000000,5,,,9.0,,Feature engineering package with sklearn like functionality.,24.0,16,False,2021-08-31 12:15:02.000000,1.1.2,28.0,feature_engine,conda-forge/feature_engine,,,31054.0,2.0,,https://pypi.org/project/feature_engine,2021-08-31 12:15:02.000000,2.0,30642.0,https://anaconda.org/conda-forge/feature_engine,2021-09-01 07:47:26.156000,6600.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n817,PySlowFast,facebookresearch/SlowFast,,image,https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26.000000,2021-11-03 07:05:48.000000,2021-10-28 14:20:52.000000,844,237.0,236.0,4408.0,,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,26.0,15,True,,,,,,['pytorch'],,,5.0,5.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n818,OpenNRE,thunlp/OpenNRE,,nlp,https://github.com/thunlp/OpenNRE,https://github.com/thunlp/OpenNRE,MIT,2017-02-26 07:37:12.000000,2021-12-06 06:46:09.000000,2021-12-06 06:45:49.000000,901,21.0,315.0,3419.0,160.0,An Open-Source Package for Neural Relation Extraction (NRE).,10.0,15,True,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n819,pycls,facebookresearch/pycls,,image,https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17.000000,2021-10-14 20:53:57.000000,2021-08-19 02:33:54.000000,203,21.0,55.0,1797.0,,\"Codebase for Image Classification Research, written in PyTorch.\",13.0,15,True,2021-05-21 00:29:47.000000,0.2,2.0,,,['pytorch'],,,4.0,4.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n820,automl-gs,minimaxir/automl-gs,,hyperopt,https://github.com/minimaxir/automl-gs,https://github.com/minimaxir/automl-gs,MIT,2019-01-13 18:57:44.000000,2019-10-22 11:20:40.000000,2019-04-05 06:48:14.000000,164,26.0,6.0,1765.0,102.0,\"Provide an input CSV and a target field to predict, generate a model + code to run it.\",7.0,15,False,2019-04-05 06:51:04.000000,0.2.1,2.0,automl_gs,,,27.0,18.0,,,https://pypi.org/project/automl_gs,2019-04-05 06:47:54.000000,,18.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n821,torchsde,google-research/torchsde,,pytorch-utils,https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11.000000,2021-07-26 13:59:41.000000,2021-07-26 13:59:38.000000,94,7.0,34.0,880.0,157.0,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,5.0,15,True,2021-01-05 18:31:38.000000,0.2.4,4.0,,,['pytorch'],,,9.0,9.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n822,madgrad,facebookresearch/madgrad,,pytorch-utils,https://github.com/facebookresearch/madgrad,https://github.com/facebookresearch/madgrad,MIT,2021-01-12 19:41:06.000000,2021-08-20 18:31:57.000000,2021-08-20 18:31:57.000000,51,2.0,7.0,750.0,,MADGRAD Optimization Method.,1.0,15,True,,,2.0,madgrad,,['pytorch'],,2878.0,18.0,18.0,https://pypi.org/project/madgrad,2021-04-01 13:54:29.000000,,2878.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n823,Translate,pytorch/translate,,nlp,https://github.com/pytorch/translate,https://github.com/pytorch/translate,BSD-3-Clause,2018-04-24 16:44:04.000000,2021-10-06 18:21:48.000000,2021-10-06 18:21:42.000000,171,66.0,27.0,716.0,810.0,Translate - a PyTorch Language Library.,87.0,15,True,,,1.0,pytorch-translate,,['pytorch'],,4.0,,,https://pypi.org/project/pytorch-translate,2018-05-01 19:59:40.000000,,4.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n824,HyperparameterHunter,HunterMcGushion/hyperparameter_hunter,,hyperopt,https://github.com/HunterMcGushion/hyperparameter_hunter,https://github.com/HunterMcGushion/hyperparameter_hunter,MIT,2018-06-01 23:17:00.000000,2021-01-20 03:52:41.000000,2021-01-20 03:52:40.000000,87,37.0,84.0,679.0,1096.0,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries.,4.0,15,True,2019-08-06 09:09:45.000000,3.0.0,16.0,hyperparameter-hunter,,,329.0,55.0,2.0,,https://pypi.org/project/hyperparameter-hunter,2019-08-06 08:52:20.000000,2.0,47.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n825,Anchor,marcotcr/anchor,,interpretability,https://github.com/marcotcr/anchor,https://github.com/marcotcr/anchor,BSD-2-Clause,2018-02-02 23:38:50.000000,2021-11-17 21:38:50.000000,2021-11-17 21:38:50.000000,93,18.0,50.0,674.0,45.0,Code for High-Precision Model-Agnostic Explanations paper.,10.0,15,True,,,8.0,anchor_exp,,,,618.0,,,https://pypi.org/project/anchor_exp,2020-06-26 20:56:50.000000,,618.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n826,NeoML,neoml-lib/neoml,,ml-frameworks,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000000,2021-12-09 10:47:08.000000,2021-12-09 10:46:41.000000,97,28.0,22.0,656.0,484.0,Machine learning framework for both deep learning and traditional algorithms.,25.0,15,True,2021-06-22 05:25:53.000000,NeoML-master_2.0.5.0,2.0,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n827,atspy,firmai/atspy,,time-series-data,https://github.com/firmai/atspy,https://github.com/firmai/atspy,MIT,2020-01-28 05:00:10.000000,2021-08-30 13:03:29.000000,2021-08-30 13:03:29.000000,78,18.0,2.0,396.0,98.0,AtsPy: Automated Time Series Models in Python (by @firmai).,5.0,15,True,2020-11-12 16:10:48.000000,zen,39.0,atspy,,,,703.0,3.0,3.0,https://pypi.org/project/atspy,2020-04-24 18:16:15.000000,,703.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n828,tfdeploy,riga/tfdeploy,,model-serialisation,https://github.com/riga/tfdeploy,https://github.com/riga/tfdeploy,BSD-3-Clause,2016-03-07 13:08:21.000000,2021-01-08 09:52:54.000000,2021-01-08 09:52:49.000000,38,11.0,23.0,345.0,170.0,Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.,4.0,15,True,2017-03-30 10:51:26.000000,0.4.2,22.0,tfdeploy,,['tensorflow'],,35.0,2.0,,https://pypi.org/project/tfdeploy,2017-03-30 10:51:26.000000,2.0,35.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n829,TextBox,RUCAIBox/TextBox,,nlp,https://github.com/RUCAIBox/TextBox,https://github.com/RUCAIBox/TextBox,MIT,2020-11-08 07:35:46.000000,2021-12-09 08:30:05.000000,2021-12-01 01:14:02.000000,54,3.0,14.0,320.0,,TextBox is an open-source library for building text generation system.,11.0,15,True,2021-04-15 13:39:28.000000,0.2.1,10.0,textbox,,,,30.0,5.0,5.0,https://pypi.org/project/textbox,2021-04-15 09:35:06.000000,,30.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n830,data-describe,data-describe/data-describe,,data-viz,https://github.com/data-describe/data-describe,https://github.com/data-describe/data-describe,Apache-2.0,2020-05-04 17:58:14.000000,2021-11-30 05:04:57.000000,2021-11-19 06:05:15.000000,15,69.0,175.0,287.0,700.0,datadescribe: Pythonic EDA Accelerator for Data Science.,14.0,15,False,,,5.0,data-describe,,,,164.0,,,https://pypi.org/project/data-describe,2020-12-03 23:07:43.000000,,164.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n831,ExplainX.ai,explainX/explainx,,interpretability,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15.000000,2021-02-07 11:06:21.000000,2021-02-02 09:03:57.000000,37,10.0,17.0,251.0,184.0,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,4.0,15,False,2021-02-07 11:06:21.000000,2.407,56.0,explainx,,,2.0,333.0,,,https://pypi.org/project/explainx,2021-02-04 16:44:24.000000,,333.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n832,Headliner,as-ideas/headliner,,nlp,https://github.com/as-ideas/headliner,https://github.com/as-ideas/headliner,MIT,2019-09-30 11:33:28.000000,2021-03-26 07:19:57.000000,2020-02-14 09:03:27.000000,40,1.0,13.0,230.0,276.0,Easy training and deployment of seq2seq models.,2.0,15,False,2020-01-24 09:06:29.000000,1.0.2,30.0,headliner,,,,102.0,4.0,3.0,https://pypi.org/project/headliner,2020-01-24 09:06:29.000000,1.0,102.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n833,NeuralQA,victordibia/neuralqa,,nlp,https://github.com/victordibia/neuralqa,https://github.com/victordibia/neuralqa,MIT,2020-05-19 03:55:56.000000,2021-11-10 19:59:22.000000,2020-12-16 17:41:37.000000,31,31.0,8.0,218.0,312.0,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,3.0,15,False,,,27.0,neuralqa,,,,56.0,2.0,2.0,https://pypi.org/project/neuralqa,2020-09-18 17:54:50.000000,,56.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n834,dabl,amueller/dabl,,sklearn-utils,https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49.000000,2021-07-09 20:34:09.000000,2021-07-09 18:47:52.000000,9,1.0,,113.0,,Data Analysis Baseline Library.,21.0,15,False,2021-07-09 19:20:43.000000,0.2.2,12.0,dabl,,['sklearn'],,1234.0,,,https://pypi.org/project/dabl,2021-07-09 19:20:43.000000,,1234.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n835,Euler,alibaba/euler,,graph,https://github.com/alibaba/euler,https://github.com/alibaba/euler,Apache-2.0,2019-01-10 06:32:32.000000,2021-04-19 11:30:28.000000,2020-07-29 05:53:01.000000,538,213.0,102.0,2699.0,8.0,A distributed graph deep learning framework.,5.0,14,False,2020-07-07 02:24:18.000000,2.0.0,2.0,euler-gl,,['tensorflow'],,14.0,,,https://pypi.org/project/euler-gl,2019-04-10 01:53:45.000000,,14.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n836,ZhuSuan,thu-ml/zhusuan,,probabilistics,https://github.com/thu-ml/zhusuan,https://github.com/thu-ml/zhusuan,MIT,2016-07-18 13:31:38.000000,2020-01-09 14:51:27.000000,2019-08-05 10:00:04.000000,400,8.0,53.0,2091.0,439.0,\"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.\",20.0,14,False,,,,,,['tensorflow'],,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n837,micrograd,karpathy/micrograd,,pytorch-utils,https://github.com/karpathy/micrograd,https://github.com/karpathy/micrograd,MIT,2020-04-13 04:31:18.000000,2021-06-24 12:28:13.000000,2020-04-18 19:15:25.000000,143,2.0,3.0,1841.0,24.0,A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.,2.0,14,False,2020-04-18 19:06:59.000000,0.1.0,1.0,micrograd,,['pytorch'],,24.0,4.0,4.0,https://pypi.org/project/micrograd,2020-04-18 19:06:59.000000,0.0,24.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n838,Torch-Struct,harvardnlp/pytorch-struct,,pytorch-utils,https://github.com/harvardnlp/pytorch-struct,https://github.com/harvardnlp/pytorch-struct,MIT,2019-08-26 19:34:30.000000,2021-11-15 13:42:41.000000,2021-11-04 18:34:31.000000,76,21.0,28.0,1007.0,268.0,\"Fast, general, and tested differentiable structured prediction in PyTorch.\",13.0,14,True,2021-02-15 20:20:59.000000,0.5,2.0,,,['pytorch'],,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n839,AutoGL,THUMNLab/AutoGL,,graph,https://github.com/THUMNLab/AutoGL,https://github.com/THUMNLab/AutoGL,Apache-2.0,2020-11-30 14:26:22.000000,2021-12-08 08:16:16.000000,2021-11-23 02:46:46.000000,71,5.0,11.0,719.0,,An autoML framework & toolkit for machine learning on graphs.,9.0,14,True,2020-12-23 08:15:15.000000,0.1.1,2.0,auto-graph-learning,,['pytorch'],,28.0,,,https://pypi.org/project/auto-graph-learning,2020-12-23 08:05:25.000000,,28.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n840,FlashTorch,MisaOgura/flashtorch,,interpretability,https://github.com/MisaOgura/flashtorch,https://github.com/MisaOgura/flashtorch,MIT,2019-03-22 13:00:57.000000,2021-06-30 12:46:02.000000,2021-04-27 11:10:20.000000,76,10.0,22.0,633.0,127.0,Visualization toolkit for neural networks in PyTorch! Demo --.,2.0,14,True,2020-05-29 14:39:38.000000,0.1.3,12.0,flashtorch,,['pytorch'],,135.0,8.0,8.0,https://pypi.org/project/flashtorch,2020-05-29 14:38:32.000000,,135.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n841,cuSignal,rapidsai/cusignal,,gpu-utilities,https://github.com/rapidsai/cusignal,https://github.com/rapidsai/cusignal,Apache-2.0,2019-08-22 14:27:27.000000,2021-12-08 17:57:36.000000,2021-12-08 17:57:35.000000,79,15.0,110.0,552.0,,GPU accelerated signal processing.,36.0,14,True,2021-12-08 17:04:15.000000,21.12.00,10.0,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n842,PandaPy,firmai/pandapy,,data-containers,https://github.com/firmai/pandapy,https://github.com/firmai/pandapy,MIT,2020-01-15 18:21:23.000000,2021-10-20 11:36:04.000000,2021-10-20 11:36:04.000000,56,2.0,1.0,486.0,85.0,PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai).,3.0,14,True,2020-11-12 16:12:54.000000,zen,22.0,pandapy,,['pandas'],,35.0,1.0,1.0,https://pypi.org/project/pandapy,2020-01-25 23:10:32.000000,,35.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n843,deltapy,firmai/deltapy,,tabular,https://github.com/firmai/deltapy,https://github.com/firmai/deltapy,MIT,2020-04-08 05:27:53.000000,2021-10-20 12:30:02.000000,2021-10-20 12:30:02.000000,39,1.0,1.0,385.0,40.0,DeltaPy - Tabular Data Augmentation (by @firmai).,4.0,14,True,2020-11-12 16:13:21.000000,zen,11.0,deltapy,,,,80.0,2.0,2.0,https://pypi.org/project/deltapy,2020-04-09 01:48:32.000000,,80.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n844,VizSeq,facebookresearch/vizseq,,nlp,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38.000000,2021-09-14 21:59:53.000000,2021-09-02 03:19:31.000000,42,7.0,9.0,368.0,,\"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).\",3.0,14,True,2020-08-07 01:13:52.000000,0.1.15,16.0,vizseq,,,,42.0,3.0,3.0,https://pypi.org/project/vizseq,2020-08-07 01:13:52.000000,,42.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n845,Adversary,airbnb/artificial-adversary,,adversarial,https://github.com/airbnb/artificial-adversary,https://github.com/airbnb/artificial-adversary,MIT,2018-08-08 04:42:11.000000,2018-10-14 05:34:44.000000,2018-08-29 15:31:30.000000,51,6.0,,360.0,15.0,Tool to generate adversarial text examples and test machine learning models against them.,5.0,14,False,2018-08-29 15:14:41.000000,1.1.1,3.0,Adversary,,,,22.0,6.0,6.0,https://pypi.org/project/Adversary,2018-08-29 15:14:41.000000,0.0,22.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n846,pykale,pykale/pykale,,others,https://github.com/pykale/pykale,https://github.com/pykale/pykale,MIT,2020-06-30 08:06:10.000000,2021-12-09 08:53:41.000000,2021-11-20 16:19:21.000000,35,10.0,62.0,311.0,,Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary..,14.0,14,True,2021-10-13 22:01:16.000000,0.1.0rc4,8.0,pykale,,['pytorch'],,36.0,,,https://pypi.org/project/pykale,2021-10-13 22:02:19.000000,,36.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n847,TransferNLP,feedly/transfer-nlp,,nlp,https://github.com/feedly/transfer-nlp,https://github.com/feedly/transfer-nlp,MIT,2019-03-12 20:00:31.000000,2020-05-28 19:00:02.000000,2020-05-28 17:31:53.000000,18,4.0,20.0,287.0,465.0,NLP library designed for reproducible experimentation management.,7.0,14,False,2020-05-28 19:00:02.000000,0.1.6,8.0,transfer-nlp,,['pytorch'],,33.0,,,https://pypi.org/project/transfer-nlp,2020-05-28 19:00:02.000000,,33.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n848,tsaug,arundo/tsaug,,time-series-data,https://github.com/arundo/tsaug,https://github.com/arundo/tsaug,Apache-2.0,2019-09-27 00:38:05.000000,2020-04-17 02:55:58.000000,2020-04-17 02:46:38.000000,22,6.0,3.0,217.0,10.0,A Python package for time series augmentation.,4.0,14,False,2020-04-17 02:50:25.000000,0.2.1,4.0,tsaug,,,,355.0,,,https://pypi.org/project/tsaug,2020-04-17 02:50:25.000000,,355.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n849,ONNX-T5,abelriboulot/onnxt5,,nlp,https://github.com/abelriboulot/onnxt5,https://github.com/abelriboulot/onnxt5,Apache-2.0,2020-08-01 09:38:35.000000,2021-01-28 09:26:15.000000,2021-01-28 09:24:52.000000,24,6.0,8.0,186.0,74.0,\"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..\",3.0,14,False,2021-01-28 09:26:15.000000,0.1.8,11.0,onnxt5,,,,60.0,,,https://pypi.org/project/onnxt5,2021-01-28 09:26:15.000000,,60.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n850,TorchDrift,torchdrift/torchdrift,,pytorch-utils,https://github.com/TorchDrift/TorchDrift,https://github.com/TorchDrift/TorchDrift,Apache-2.0,2021-02-10 09:27:48.000000,2021-06-29 11:52:29.000000,2021-06-29 11:52:29.000000,5,2.0,4.0,183.0,33.0,Drift Detection for your PyTorch Models.,2.0,14,False,2021-03-08 12:21:48.000000,0.1.0,3.0,torchdrift,,['pytorch'],,97.0,12.0,12.0,https://pypi.org/project/torchdrift,2021-03-08 12:51:05.000000,,97.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n851,textvec,textvec/textvec,,nlp,https://github.com/textvec/textvec,https://github.com/textvec/textvec,MIT,2018-04-12 14:03:53.000000,2020-12-03 14:23:11.000000,2020-12-03 14:23:04.000000,21,3.0,6.0,178.0,70.0,Text vectorization tool to outperform TFIDF for classification tasks.,4.0,14,False,2019-09-12 07:41:04.000000,2.0,4.0,textvec,,['sklearn'],,36.0,4.0,4.0,https://pypi.org/project/textvec,2020-12-03 14:17:09.000000,,36.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n852,numerizer,jaidevd/numerizer,,nlp,https://github.com/jaidevd/numerizer,https://github.com/jaidevd/numerizer,MIT,2019-12-02 07:00:34.000000,2021-04-04 05:05:33.000000,2021-04-03 04:27:49.000000,8,2.0,4.0,133.0,17.0,A Python module to convert natural language numerics into ints and floats.,2.0,14,False,2021-04-03 04:33:45.000000,0.2.0,8.0,numerizer,,,,1345.0,15.0,15.0,https://pypi.org/project/numerizer,2021-04-03 04:33:45.000000,,1345.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n853,ModelChimp,ModelChimp/modelchimp,,ml-experiments,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03.000000,2021-12-08 23:58:28.000000,2021-08-01 07:11:57.000000,12,4.0,10.0,122.0,363.0,Experiment tracking for machine and deep learning projects.,3.0,14,False,2019-04-09 10:43:15.000000,0.4.0,37.0,modelchimp,,,,73.0,,,https://pypi.org/project/modelchimp,2019-04-09 10:41:20.000000,,56.0,,,,3.0,,,modelchimp/modelchimp-server,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,647.0,,,,,,,,,,,,,,,,,,,\n854,DeepNeuro,QTIM-Lab/DeepNeuro,,medical-data,https://github.com/QTIM-Lab/DeepNeuro,https://github.com/QTIM-Lab/DeepNeuro,MIT,2017-06-01 19:36:34.000000,2020-06-24 13:00:15.000000,2020-06-24 13:00:14.000000,34,27.0,16.0,108.0,285.0,A deep learning python package for neuroimaging data. Made by:.,6.0,14,False,2019-06-10 21:04:04.000000,0.2.3,6.0,deepneuro,,,,45.0,1.0,1.0,https://pypi.org/project/deepneuro,2019-06-10 21:04:04.000000,,45.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n855,Hypermax,electricbrainio/hypermax,,hyperopt,https://github.com/electricbrainio/hypermax,https://github.com/electricbrainio/hypermax,BSD-3-Clause,2018-07-27 18:43:01.000000,2020-08-02 18:08:50.000000,2020-08-02 18:08:46.000000,13,3.0,2.0,97.0,207.0,\"Better, faster hyper-parameter optimization.\",9.0,14,False,2019-10-23 15:40:12.000000,0.5.1,11.0,hypermax,,,,25.0,4.0,4.0,https://pypi.org/project/hypermax,2019-10-23 15:40:12.000000,,25.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n856,contextual-ai,SAP/contextual-ai,,interpretability,https://github.com/SAP/contextual-ai,https://github.com/SAP/contextual-ai,Apache-2.0,2020-05-12 07:15:56.000000,2021-11-11 10:54:41.000000,2021-11-11 10:53:33.000000,9,4.0,11.0,73.0,630.0,\"Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference -..\",12.0,14,False,2021-01-25 04:56:57.000000,0.0.2,2.0,contextual-ai,,,,65.0,,,https://pypi.org/project/contextual-ai,2021-01-25 04:56:57.000000,,65.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n857,nptsne,biovault/nptsne,,data-viz,https://github.com/biovault/nptsne,https://github.com/biovault/nptsne,Apache-2.0,2019-06-28 08:40:25.000000,2021-12-09 11:11:48.000000,2021-02-03 08:52:27.000000,2,7.0,5.0,27.0,857.0,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,3.0,14,False,2020-09-10 23:54:14.000000,1.1.0,2.0,nptsne,,,,54.0,3.0,3.0,https://pypi.org/project/nptsne,2020-09-10 23:54:14.000000,,54.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n858,StarSpace,facebookresearch/StarSpace,,ml-frameworks,https://github.com/facebookresearch/StarSpace,https://github.com/facebookresearch/StarSpace,MIT,2017-06-28 17:50:18.000000,2021-11-03 16:23:46.000000,2019-12-13 19:03:25.000000,499,50.0,148.0,3705.0,,\"Learning embeddings for classification, retrieval and ranking.\",17.0,13,False,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n859,OpenKE,thunlp/OpenKE,,graph,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,MIT,2017-10-08 11:20:23.000000,2021-09-29 09:46:39.000000,2021-04-06 08:24:50.000000,826,68.0,308.0,2841.0,97.0,An Open-Source Package for Knowledge Embedding (KE).,10.0,13,True,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n860,GraphSAGE,williamleif/GraphSAGE,,graph,https://github.com/williamleif/GraphSAGE,https://github.com/williamleif/GraphSAGE,MIT,2017-05-29 15:36:22.000000,2021-08-25 15:01:46.000000,2018-09-19 19:27:00.000000,713,96.0,59.0,2572.0,59.0,Representation learning on large graphs using stochastic graph convolutions.,9.0,13,False,,,,,,['tensorflow'],,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n861,ENAS,carpedm20/ENAS-pytorch,,hyperopt,https://github.com/carpedm20/ENAS-pytorch,https://github.com/carpedm20/ENAS-pytorch,Apache-2.0,2018-02-15 04:54:37.000000,2020-12-09 18:13:03.000000,2020-06-16 07:23:32.000000,458,37.0,7.0,2502.0,53.0,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,6.0,13,False,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n862,OpenNE,thunlp/OpenNE,,graph,https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20.000000,2021-09-15 14:38:30.000000,2019-08-12 10:56:27.000000,466,50.0,94.0,1525.0,98.0,An Open-Source Package for Network Embedding (NE).,10.0,13,False,,,,,,['tensorflow'],,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n863,Auptimizer,LGE-ARC-AdvancedAI/auptimizer,,hyperopt,https://github.com/LGE-ARC-AdvancedAI/auptimizer,https://github.com/LGE-ARC-AdvancedAI/auptimizer,GPL-3.0,2019-09-12 01:08:37.000000,2021-11-10 20:14:57.000000,2021-03-03 01:30:06.000000,21,1.0,5.0,178.0,79.0,An automatic ML model optimization tool.,11.0,13,False,2021-03-03 02:00:23.000000,2.0,7.0,auptimizer,,,,46.0,,,https://pypi.org/project/auptimizer,2021-03-02 02:40:32.000000,,46.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n864,Attribution Priors,suinleelab/attributionpriors,,interpretability,https://github.com/suinleelab/attributionpriors,https://github.com/suinleelab/attributionpriors,MIT,2019-06-24 23:54:24.000000,2021-03-19 19:43:58.000000,2021-03-19 19:43:51.000000,10,1.0,3.0,90.0,72.0,Tools for training explainable models using attribution priors.,6.0,13,False,2021-03-16 17:47:18.000000,1.0.0,4.0,attributionpriors,,\"['tensorflow', 'pytorch']\",,25.0,3.0,3.0,https://pypi.org/project/attributionpriors,2019-10-31 18:03:05.000000,,25.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n865,surpriver,tradytics/surpriver,,financial-data,https://github.com/tradytics/surpriver,https://github.com/tradytics/surpriver,GPL-3.0,2020-08-30 07:56:22.000000,2021-08-13 08:02:31.000000,2020-09-21 04:32:05.000000,251,10.0,6.0,1374.0,64.0,Find big moving stocks before they move using machine learning and anomaly detection.,6.0,12,False,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n866,MedicalNet,Tencent/MedicalNet,,medical-data,https://github.com/Tencent/MedicalNet,https://github.com/Tencent/MedicalNet,MIT,2019-07-17 09:53:10.000000,2021-09-16 22:05:49.000000,2020-08-27 13:37:26.000000,332,50.0,14.0,1279.0,26.0,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,1.0,12,False,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n867,traingenerator,jrieke/traingenerator,,others,https://github.com/jrieke/traingenerator,https://github.com/jrieke/traingenerator,MIT,2020-12-03 16:47:16.000000,2021-06-28 17:42:41.000000,2021-04-29 13:46:13.000000,156,13.0,3.0,1112.0,,A web app to generate template code for machine learning.,3.0,12,True,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n868,Medical Detection Toolkit,MIC-DKFZ/medicaldetectiontoolkit,,medical-data,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,Apache-2.0,2018-10-12 12:34:57.000000,2021-09-09 14:14:09.000000,2021-09-09 14:14:04.000000,275,40.0,85.0,1063.0,40.0,\"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..\",3.0,12,True,,,,,,['pytorch'],,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n869,backprop,backprop-ai/backprop,,model-serialisation,https://github.com/backprop-ai/backprop,https://github.com/backprop-ai/backprop,Apache-2.0,2020-10-30 15:25:14.000000,2021-05-03 09:15:25.000000,2021-05-03 09:15:21.000000,11,3.0,4.0,219.0,,\"Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.\",8.0,12,False,2021-04-20 13:53:12.000000,0.1.2,14.0,backprop,,,,72.0,,,https://pypi.org/project/backprop,2021-04-20 13:53:12.000000,,72.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n870,Maze,enlite-ai/maze,,reinforcement-learning,https://github.com/enlite-ai/maze,https://github.com/enlite-ai/maze,Custom,2021-02-11 08:26:37.000000,2021-12-07 15:23:38.000000,2021-06-24 20:06:29.000000,4,,2.0,199.0,,Maze Applied Reinforcement Learning Framework.,3.0,12,False,2021-06-24 20:08:22.000000,0.1.7,18.0,maze-rl,,['pytorch'],,59.0,1.0,1.0,https://pypi.org/project/maze-rl,2021-06-24 20:28:17.000000,,36.0,,,,3.0,,,enliteai/maze,https://hub.docker.com/r/enliteai/maze,2021-06-24 21:00:27.801118,,234.0,,,,,,,,,,,,,,,,,,,\n871,dstack,dstackai/dstack,,others,https://github.com/dstackai/dstack,https://github.com/dstackai/dstack,Apache-2.0,2020-06-22 09:03:03.000000,2021-11-16 16:00:28.000000,,11,21.0,,183.0,,An open-source tool to rapidly develop data applications with Python.,2.0,12,False,2021-03-23 15:46:40.000000,0.6.5,33.0,dstack,,,,128.0,,,https://pypi.org/project/dstack,2021-11-16 16:00:28.000000,,128.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n872,autodist,petuum/autodist,,distributed-ml,https://github.com/petuum/autodist,https://github.com/petuum/autodist,Apache-2.0,2020-06-29 19:45:38.000000,2021-04-12 21:55:36.000000,2021-01-28 00:04:40.000000,21,11.0,1.0,113.0,208.0,Simple Distributed Deep Learning on TensorFlow.,11.0,12,False,,,2.0,autodist,,['tensorflow'],,15.0,,,https://pypi.org/project/autodist,2020-07-16 05:36:19.000000,,15.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n873,bias-detector,intuit/bias-detector,,interpretability,https://github.com/intuit/bias-detector,https://github.com/intuit/bias-detector,MIT,2021-02-02 16:58:52.000000,2021-10-27 10:28:48.000000,2021-10-27 10:28:48.000000,8,,,35.0,,Bias Detector is a python package for detecting bias in machine learning models.,4.0,12,False,2021-04-22 15:20:54.000000,0.0.12,11.0,bias-detector,,,,45.0,,,https://pypi.org/project/bias-detector,2021-04-22 15:20:54.000000,,45.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n874,Lea,,,probabilistics,,http://bitbucket.org/piedenis/lea,GPL-3.0,,2021-12-05 19:02:53.000000,,3,,,,,Discrete probability distributions in Python.,,12,False,2021-12-05 19:02:53.000000,3.4.1,51.0,lea,,,,1639.0,42.0,,https://pypi.org/project/lea,2021-12-05 19:02:53.000000,42.0,1639.0,,,,3.0,2.0,,,,,,,,,,,,,,,,,,,,,,,,,piedenis/lea\n875,model_search,google/model_search,,hyperopt,https://github.com/google/model_search,https://github.com/google/model_search,Apache-2.0,2021-01-19 18:26:34.000000,2021-07-26 12:43:38.000000,2021-03-17 17:06:04.000000,304,34.0,15.0,3158.0,8.0,AutoML algorithms for model architecture search at scale.,1.0,11,True,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n876,GraphVite,DeepGraphLearning/graphvite,,graph,https://github.com/DeepGraphLearning/graphvite,https://github.com/DeepGraphLearning/graphvite,Apache-2.0,2019-07-16 15:48:20.000000,2021-01-14 02:19:03.000000,2021-01-14 02:18:46.000000,129,35.0,56.0,974.0,15.0,GraphVite: A General and High-performance Graph Embedding System.,1.0,11,True,,,4.0,,milagraph/graphvite,,,144.0,,,,,,,https://anaconda.org/milagraph/graphvite,2020-03-19 18:21:30.972000,4049.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n877,Devol,joeddav/devol,,hyperopt,https://github.com/joeddav/devol,https://github.com/joeddav/devol,MIT,2017-02-10 03:07:54.000000,2020-07-05 21:56:59.000000,2020-07-05 21:56:58.000000,109,7.0,20.0,934.0,116.0,Genetic neural architecture search with Keras.,18.0,11,False,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n878,PySparNN,facebookresearch/pysparnn,,nn-search,https://github.com/facebookresearch/pysparnn,https://github.com/facebookresearch/pysparnn,BSD-3-Clause,2016-03-28 20:43:42.000000,2020-10-02 06:01:01.000000,2018-01-31 16:50:23.000000,146,15.0,14.0,891.0,147.0,Approximate Nearest Neighbor Search for Sparse Data in Python!.,5.0,11,False,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n879,BLINK,facebookresearch/BLINK,,nlp,https://github.com/facebookresearch/BLINK,https://github.com/facebookresearch/BLINK,MIT,2019-09-25 21:27:44.000000,2021-10-28 02:39:25.000000,2021-04-02 03:03:34.000000,136,45.0,29.0,767.0,,Entity Linker solution.,16.0,11,True,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n880,nylon,Palashio/nylon,,others,https://github.com/Palashio/nylon,https://github.com/Palashio/nylon,MIT,2021-06-04 17:33:49.000000,2021-07-29 20:34:04.000000,2021-07-23 19:37:10.000000,9,14.0,18.0,76.0,,\"An intelligent, flexible grammar of machine learning.\",3.0,11,False,2021-06-25 14:27:32.000000,0.0.7,8.0,nylon-ai,,,,43.0,1.0,1.0,https://pypi.org/project/nylon-ai,2021-06-25 14:27:32.000000,,43.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n881,spacy-dbpedia-spotlight,MartinoMensio/spacy-dbpedia-spotlight,,nlp,https://github.com/MartinoMensio/spacy-dbpedia-spotlight,https://github.com/MartinoMensio/spacy-dbpedia-spotlight,MIT,2020-04-29 19:35:04.000000,2021-04-12 13:38:53.000000,2021-04-12 13:38:47.000000,5,6.0,,45.0,13.0,A spaCy wrapper for DBpedia Spotlight.,1.0,11,False,2021-04-12 13:25:07.000000,0.2.1,6.0,spacy-dbpedia-spotlight,,['spacy'],,242.0,,,https://pypi.org/project/spacy-dbpedia-spotlight,2021-04-09 13:21:45.000000,,242.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n882,Mozart,aashrafh/Mozart,,ocr,https://github.com/aashrafh/Mozart,https://github.com/aashrafh/Mozart,Apache-2.0,2020-12-14 11:49:14.000000,2021-05-05 17:21:44.000000,2021-05-05 17:21:44.000000,47,3.0,6.0,340.0,,An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.,5.0,10,True,,,,,,['sklearn'],,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n883,Hypertunity,gdikov/hypertunity,,hyperopt,https://github.com/gdikov/hypertunity,https://github.com/gdikov/hypertunity,Apache-2.0,2019-06-02 12:04:55.000000,2020-01-26 23:14:49.000000,2020-01-26 22:53:29.000000,9,,2.0,119.0,64.0,A toolset for black-box hyperparameter optimisation.,2.0,10,False,2020-01-26 23:08:16.000000,1.0.1,7.0,hypertunity,,,,11.0,2.0,2.0,https://pypi.org/project/hypertunity,2020-01-26 23:08:16.000000,,11.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n884,LazyCluster,ml-tooling/lazycluster,,distributed-ml,https://github.com/ml-tooling/lazycluster,https://github.com/ml-tooling/lazycluster,Apache-2.0,2019-08-07 08:05:13.000000,2021-09-16 02:14:06.000000,2021-08-19 13:59:11.000000,8,,,43.0,,Distributed machine learning made simple.,2.0,10,False,2020-12-14 15:25:59.000000,0.2.4,5.0,lazycluster,,,,19.0,7.0,7.0,https://pypi.org/project/lazycluster,2020-12-14 14:49:33.000000,,19.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n885,traintool,jrieke/traintool,,ml-experiments,https://github.com/jrieke/traintool,https://github.com/jrieke/traintool,Apache-2.0,2020-09-30 22:23:05.000000,2021-03-12 01:44:04.000000,2021-03-12 01:43:14.000000,1,,,9.0,122.0,Train off-the-shelf machine learning models in one line of code.,,9,False,2020-11-02 02:25:32.000000,0.0.3,3.0,traintool,,\"['pytorch', 'tensorflow', 'sklearn']\",,15.0,,,https://pypi.org/project/traintool,2020-11-02 02:25:32.000000,,15.0,,,,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,\n"
  },
  {
    "path": "history/2021-12-30_changes.md",
    "content": "## 📈 Trending Up\n\n_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._\n\n- <b><a href=\"https://github.com/tensorflow/tensorflow\">Tensorflow</a></b> (🥇44 ·  ⭐ 160K · 📈) - An Open Source Machine Learning Framework for Everyone. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/joblib/joblib\">joblib</a></b> (🥇36 ·  ⭐ 2.6K · 📈) - Computing with Python functions. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/altair-viz/altair\">Altair</a></b> (🥇34 ·  ⭐ 7.2K · 📈) - Declarative statistical visualization library for Python. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/pyqtgraph/pyqtgraph\">PyQtGraph</a></b> (🥈31 ·  ⭐ 2.7K · 📈) - Fast data visualization and GUI tools for scientific / engineering.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/mozilla/DeepSpeech\">DeepSpeech</a></b> (🥇30 ·  ⭐ 19K · 📈) - DeepSpeech is an open source embedded (offline, on-.. <code><a href=\"http://bit.ly/3postzC\">MPL-2.0</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/devsnd/tinytag\">tinytag</a></b> (🥈25 ·  ⭐ 500 · 📈) - Read audio and music meta data and duration of MP3, OGG, OPUS, MP4,.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/databand-ai/dbnd\">dbnd</a></b> (🥉24 ·  ⭐ 210 · 📈) - DBND is an agile pipeline framework that helps data engineering teams.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/labmlai/labml\">Labml</a></b> (🥉23 ·  ⭐ 920 · 📈) - Monitor deep learning model training and hardware usage from your mobile.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/utterworks/fast-bert\">fast-bert</a></b> (🥉20 ·  ⭐ 1.7K · 📈) - Super easy library for BERT based NLP models. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/nerevu/riko\">riko</a></b> (🥉20 ·  ⭐ 1.6K · 📈) - A Python stream processing engine modeled after Yahoo! Pipes. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n\n## 📉 Trending Down\n\n_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._\n\n- <b><a href=\"https://github.com/geopandas/geopandas\">GeoPandas</a></b> (🥈30 ·  ⭐ 2.9K · 📉) - Python tools for geographic data. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1S\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/iterative/dvc\">DVC</a></b> (🥈27 ·  ⭐ 9K · 📉) - Data Version Control | Git for Data & Models | ML Experiments Management. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/facebookresearch/ParlAI\">ParlAI</a></b> (🥈26 ·  ⭐ 8.5K · 📉) - A framework for training and evaluating AI models on a variety of.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/google/flax\">Flax</a></b> (🥉26 ·  ⭐ 2.5K · 📉) - Flax is a neural network library for JAX that is designed for.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code>jax</code>\n- <b><a href=\"https://github.com/SciTools/cartopy\">cartopy</a></b> (🥉25 ·  ⭐ 980 · 📉) - Cartopy - a cartographic python library with matplotlib support. <code><a href=\"http://bit.ly/37RvQcA\">❗️LGPL-3.0</a></code>\n- <b><a href=\"https://github.com/pola-rs/polars\">polars</a></b> (🥉24 ·  ⭐ 4K · 📉) - Fast multi-threaded DataFrame library in Rust and Python. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/bentoml/BentoML\">BentoML</a></b> (🥈24 ·  ⭐ 3.1K · 📉) - Model Serving Made Easy. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/mljar/mljar-supervised\">mljar-supervised</a></b> (🥈24 ·  ⭐ 1.7K · 📉) - Python package for AutoML on Tabular Data with Feature.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/ibayer/fastFM\">fastFM</a></b> (🥉21 ·  ⭐ 960 · 💤) - fastFM: A Library for Factorization Machines. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/awslabs/mxboard\">MXBoard</a></b> (🥉20 ·  ⭐ 330 · 💀) - Logging MXNet data for visualization in TensorBoard. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1X\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n\n"
  },
  {
    "path": "history/2021-12-30_projects.csv",
    "content": ",name,github_id,resource,category,github_url,homepage,license,created_at,updated_at,last_commit_pushed_at,fork_count,open_issue_count,closed_issue_count,star_count,commit_count,description,contributor_count,projectrank,show,latest_stable_release_published_at,latest_stable_release_number,release_count,pypi_id,conda_id,dockerhub_id,docs_url,labels,dependent_project_count,github_dependent_project_count,pypi_url,pypi_latest_release_published_at,pypi_dependent_project_count,pypi_monthly_downloads,monthly_downloads,conda_url,conda_latest_release_published_at,conda_total_downloads,dockerhub_url,dockerhub_latest_release_published_at,dockerhub_stars,dockerhub_pulls,projectrank_placing,trending,github_release_downloads,helm_id,npm_id,npm_url,npm_latest_release_published_at,npm_dependent_project_count,npm_monthly_downloads,conda_dependent_project_count,brew_id,updated_github_id,snap_id,dnf_id,yay_id,apt_id,yum_id,maven_id,maven_url,maven_latest_release_published_at,maven_dependent_project_count,bitbucket_id\n0,ANN Benchmarks,erikbern/ann-benchmarks,True,nn-search,https://github.com/erikbern/ann-benchmarks,https://github.com/erikbern/ann-benchmarks,MIT,2015-05-28 13:21:43.000000,2021-12-24 06:06:26.000000,2021-12-20 14:23:16.000000,407,37.0,74.0,2689.0,1259.0,Benchmarks of approximate nearest neighbor libraries in Python.,65.0,0,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n1,best-of-web-python - Web Scraping,ml-tooling/best-of-web-python,True,web-scraping,https://github.com/ml-tooling/best-of-web-python,https://github.com/ml-tooling/best-of-web-python#web-scraping--crawling,CC-BY-SA-4.0,2021-01-05 13:09:27.000000,2021-12-23 20:17:25.000000,2021-12-23 20:17:24.000000,92,4.0,2.0,1392.0,,Collection of web-scraping and crawling libraries.,7.0,0,True,2021-12-23 20:17:35.000000,2021.12.23,27.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n2,best-of-python - Data Extraction,ml-tooling/best-of-python,True,data-loading,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-loading--extraction,CC-BY-SA-4.0,2021-01-11 19:11:32.000000,2021-12-30 13:39:02.000000,2021-12-30 12:45:34.000000,139,,4.0,1883.0,,Collection of data-loading and -extraction libraries.,6.0,0,True,2021-12-23 15:23:48.000000,2021.12.23,28.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n3,best-of-python - DB Clients,ml-tooling/best-of-python,True,db-clients,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#database-clients,CC-BY-SA-4.0,2021-01-11 19:11:32.000000,2021-12-30 13:39:02.000000,2021-12-30 12:45:34.000000,139,,4.0,1883.0,,Collection of database clients for python.,6.0,0,True,2021-12-23 15:23:48.000000,2021.12.23,28.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n4,Tensorflow,tensorflow/tensorflow,,ml-frameworks,https://github.com/tensorflow/tensorflow,https://github.com/tensorflow/tensorflow,Apache-2.0,2015-11-07 01:19:20.000000,2021-12-30 13:47:26.344383,2021-12-30 11:52:09.000000,86022,2651.0,31189.0,163499.0,123227.0,An Open Source Machine Learning Framework for Everyone.,3881.0,44,True,2021-11-04 21:39:30.000000,2.7.0,140.0,tensorflow,conda-forge/tensorflow,tensorflow/tensorflow,https://www.tensorflow.org/overview,['tensorflow'],196489.0,173965.0,https://pypi.org/project/tensorflow,2021-12-22 20:40:23.000000,22524.0,14593948.0,15503174.0,https://anaconda.org/conda-forge/tensorflow,2021-12-08 18:39:34.795000,2959831.0,https://hub.docker.com/r/tensorflow/tensorflow,2021-12-30 13:47:26.344383,1978.0,63242143.0,1.0,7.0,,,,,,,,,,,,,,,,,,,,\n5,pandas,pandas-dev/pandas,,data-containers,https://github.com/pandas-dev/pandas,https://github.com/pandas-dev/pandas,BSD-3-Clause,2010-08-24 01:37:33.000000,2021-12-30 14:10:51.000000,2021-12-30 14:10:51.000000,13654,3481.0,18474.0,32146.0,28591.0,\"Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R..\",2885.0,43,True,2021-12-12 14:30:49.000000,1.3.5,99.0,pandas,conda-forge/pandas,,,['pandas'],680315.0,603531.0,https://pypi.org/project/pandas,2021-12-12 14:30:49.000000,76784.0,69664325.0,69993337.0,https://anaconda.org/conda-forge/pandas,2021-12-13 14:57:19.916000,21951690.0,,,,,1.0,,130648.0,,,,,,,,,,,,,,,,,,,\n6,scipy,scipy/scipy,,others,https://github.com/scipy/scipy,https://github.com/scipy/scipy,BSD-3-Clause,2011-03-09 18:52:03.000000,2021-12-30 14:07:04.000000,2021-12-30 08:07:07.000000,4015,1828.0,6322.0,9003.0,26991.0,\"Ecosystem of open-source software for mathematics, science, and engineering.\",1214.0,42,True,2021-11-24 18:44:51.000000,1.7.3,74.0,scipy,conda-forge/scipy,,,,527237.0,440375.0,https://pypi.org/project/scipy,2021-12-21 17:28:09.000000,86862.0,30469478.0,30772481.0,https://anaconda.org/conda-forge/scipy,2021-11-25 04:00:02.224000,20010344.0,,,,,1.0,,334410.0,,,,,,,,,,,,,,,,,,,\n7,Celery,celery/celery,,data-pipelines,https://github.com/celery/celery,https://github.com/celery/celery,BSD-3-Clause,2009-04-24 11:31:24.000000,2021-12-29 05:52:09.000000,2021-12-29 05:49:42.000000,4172,487.0,4156.0,18431.0,11814.0,Asynchronous task queue/job queue based on distributed message passing.,1171.0,40,True,2021-12-29 05:52:09.000000,5.2.3,187.0,celery,conda-forge/celery,,,,90788.0,62554.0,https://pypi.org/project/celery,2021-12-29 05:52:09.000000,28234.0,4548407.0,4559519.0,https://anaconda.org/conda-forge/celery,2021-06-29 08:06:51.307000,766736.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n8,transformers,huggingface/transformers,,nlp,https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000000,2021-12-30 13:50:24.000000,2021-12-30 09:16:03.000000,13220,421.0,8059.0,56234.0,8598.0,\"Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.\",1105.0,39,True,2021-12-22 19:34:56.000000,4.15.0,83.0,transformers,conda-forge/transformers,,,\"['pytorch', 'tensorflow']\",20505.0,20377.0,https://pypi.org/project/transformers,2021-12-22 19:12:19.000000,128.0,2933337.0,2936780.0,https://anaconda.org/conda-forge/transformers,2021-12-23 04:13:36.107000,88549.0,,,,,1.0,,1420.0,,,,,,,,,,,,,,,,,,,\n9,PyTorch,pytorch/pytorch,,ml-frameworks,https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41.000000,2021-12-30 14:02:41.000000,2021-12-30 10:16:36.000000,14554,10830.0,16406.0,53017.0,42681.0,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,3033.0,39,True,2021-12-15 22:27:43.000000,1.10.1,37.0,torch,pytorch/pytorch,,https://pytorch.org/docs/stable/index.html,['pytorch'],6682.0,,https://pypi.org/project/torch,2021-12-15 21:58:45.000000,6682.0,6149966.0,6445954.0,https://anaconda.org/pytorch/pytorch,2021-12-15 21:52:11.758000,14502732.0,,,,,1.0,,883.0,,,,,,,,,,,,,,,,,,,\n10,XGBoost,dmlc/xgboost,,ml-frameworks,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000000,2021-12-30 12:12:25.000000,2021-12-30 12:12:25.000000,8246,308.0,3981.0,22052.0,5596.0,\"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..\",545.0,38,True,2021-11-24 19:51:13.000000,1.5.1,60.0,xgboost,conda-forge/xgboost,,https://xgboost.readthedocs.io/en/latest/,,26922.0,25330.0,https://pypi.org/project/xgboost,2021-11-24 19:51:13.000000,1592.0,8412068.0,8450288.0,https://anaconda.org/conda-forge/xgboost,2021-11-20 17:37:18.728000,2176408.0,,,,,1.0,,3570.0,,,,,,,,,,,,,,,,,,,\n11,spaCy,explosion/spaCy,,nlp,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000000,2021-12-30 12:46:00.000000,2021-12-29 10:41:29.000000,3654,102.0,4878.0,22037.0,15214.0,Industrial-strength Natural Language Processing (NLP) in Python.,644.0,38,True,2021-12-07 16:30:56.000000,3.2.1,189.0,spacy,conda-forge/spacy,,,,36324.0,33258.0,https://pypi.org/project/spacy,2021-12-15 15:54:05.638000,3066.0,5907767.0,5951205.0,https://anaconda.org/conda-forge/spacy,2021-12-14 12:41:39.668000,2516504.0,,,,,1.0,,3104.0,,,,,,,,,,,,,,,,,,,\n12,numpy,numpy/numpy,,data-containers,https://github.com/numpy/numpy,https://github.com/numpy/numpy,BSD-3-Clause,2010-09-13 23:02:39.000000,2021-12-30 10:22:14.000000,2021-12-28 22:24:13.000000,6288,2293.0,8142.0,19197.0,,The fundamental package for scientific computing with Python.,1378.0,38,True,2021-12-20 00:58:47.000000,1.21.5,119.0,numpy,conda-forge/numpy,,,,1093951.0,924229.0,https://pypi.org/project/numpy,2021-12-19 23:58:44.000000,169722.0,85587611.0,86002343.0,https://anaconda.org/conda-forge/numpy,2021-12-21 11:54:25.200000,27306293.0,,,,,1.0,,437742.0,,,,,,,,,,,,,,,,,,,\n13,Matplotlib,matplotlib/matplotlib,,data-viz,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,Python-2.0,2011-02-19 03:17:12.000000,2021-12-30 10:11:24.000000,2021-12-29 21:08:57.000000,6167,1738.0,6757.0,14778.0,,matplotlib: plotting with Python.,1319.0,38,True,2021-12-11 08:22:08.000000,3.5.1,90.0,matplotlib,conda-forge/matplotlib,,,,558120.0,479016.0,https://pypi.org/project/matplotlib,2021-12-11 08:22:08.000000,79104.0,24878225.0,25020099.0,https://anaconda.org/conda-forge/matplotlib,2021-12-13 20:23:04.086000,10640608.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n14,Seaborn,mwaskom/seaborn,,data-viz,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000000,2021-12-30 01:16:45.000000,2021-11-27 18:58:32.000000,1489,97.0,1851.0,9025.0,2812.0,Statistical data visualization in Python.,161.0,38,True,2021-08-16 00:42:18.000000,0.11.2,25.0,seaborn,conda-forge/seaborn,,,,144585.0,131799.0,https://pypi.org/project/seaborn,2021-08-16 00:42:18.000000,12786.0,6218124.0,6268090.0,https://anaconda.org/conda-forge/seaborn,2021-08-16 06:42:17.619000,3197699.0,,,,,1.0,,209.0,,,,,,,,,,,,,,,,,,,\n15,scikit-learn,scikit-learn/scikit-learn,,ml-frameworks,https://github.com/scikit-learn/scikit-learn,https://github.com/scikit-learn/scikit-learn,BSD-3-Clause,2010-08-17 09:43:38.000000,2021-12-30 14:00:02.000000,2021-12-30 11:16:41.000000,22434,2478.0,7377.0,48400.0,,scikit-learn: machine learning in Python.,2433.0,37,True,2021-12-25 20:30:08.000000,1.0.2,60.0,scikit-learn,conda-forge/scikit-learn,,,['sklearn'],335780.0,297892.0,https://pypi.org/project/scikit-learn,2021-12-25 20:30:08.000000,37888.0,23255797.0,23417093.0,https://anaconda.org/conda-forge/scikit-learn,2021-12-26 01:02:52.879000,10806095.0,,,,,1.0,,759.0,,,,,,,,,,,,,,,,,,,\n16,PySpark,apache/spark,,ml-frameworks,https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08.000000,2021-12-30 13:50:36.000000,2021-12-30 13:18:49.000000,24892,244.0,,31699.0,32028.0,Apache Spark Python API.,2595.0,37,True,2021-10-18 08:17:19.000000,3.2.0,27.0,pyspark,conda-forge/pyspark,,,['spark'],760.0,,https://pypi.org/project/pyspark,2021-10-18 08:17:19.000000,760.0,15032816.0,15057398.0,https://anaconda.org/conda-forge/pyspark,2021-10-18 11:47:59.356000,1401192.0,,,,,1.0,,,stable/spark,,,,,,,,,,,,,,,,,,\n17,Arrow,apache/arrow,,data-containers,https://github.com/apache/arrow,https://github.com/apache/arrow,Apache-2.0,2016-02-17 08:00:23.000000,2021-12-30 14:21:29.000000,2021-12-30 11:46:57.000000,2132,182.0,685.0,8881.0,10629.0,Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing.,782.0,37,True,2021-10-26 15:00:11.000000,6.0.0,35.0,pyarrow,conda-forge/arrow,,,,1046.0,60.0,https://pypi.org/project/pyarrow,2021-11-18 03:54:39.000000,986.0,32230168.0,32242849.0,https://anaconda.org/conda-forge/arrow,2021-10-26 15:18:02.635000,849663.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n18,SymPy,sympy/sympy,,others,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000000,2021-12-30 12:36:20.000000,2021-12-29 15:30:07.000000,3508,4242.0,7723.0,8718.0,49674.0,A computer algebra system written in pure Python.,1119.0,37,True,2021-10-08 23:27:06.000000,sympy-1.9,40.0,sympy,conda-forge/sympy,,,,44564.0,38142.0,https://pypi.org/project/sympy,2021-10-08 23:29:29.000000,6422.0,2008852.0,2040423.0,https://anaconda.org/conda-forge/sympy,2021-11-06 22:30:34.086000,1822930.0,,,,,1.0,,440823.0,,,,,,,,,,,,,,,,,,,\n19,Tensorboard,tensorflow/tensorboard,,ml-experiments,https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000000,2021-12-22 19:32:45.000000,2021-12-22 15:23:34.000000,1456,554.0,1059.0,5727.0,4899.0,TensorFlow's Visualization Toolkit.,275.0,37,True,2021-10-13 16:17:43.000000,2.7.0,39.0,tensorboard,conda-forge/tensorboard,,,['tensorflow'],93237.0,89623.0,https://pypi.org/project/tensorboard,2021-10-13 16:17:43.000000,3614.0,12262814.0,12317967.0,https://anaconda.org/conda-forge/tensorboard,2021-11-10 21:16:52.072000,2702520.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n20,OpenAI Gym,openai/gym,,reinforcement-learning,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16.000000,2021-12-29 22:11:57.000000,2021-12-22 23:51:33.000000,7337,118.0,1348.0,26086.0,1460.0,A toolkit for developing and comparing reinforcement learning algorithms.,333.0,36,True,2021-10-06 22:04:25.000000,0.21.0,96.0,gym,,,,,28918.0,25356.0,https://pypi.org/project/gym,2021-10-06 22:04:25.000000,3562.0,1013741.0,1013741.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n21,shap,slundberg/shap,,interpretability,https://github.com/slundberg/shap,https://github.com/slundberg/shap,MIT,2016-11-22 19:17:08.000000,2021-12-26 13:15:20.000000,2021-12-04 17:24:08.000000,2204,1229.0,566.0,14980.0,2011.0,A game theoretic approach to explain the output of any machine learning model.,162.0,36,True,2021-10-20 18:36:57.000000,0.40.0,94.0,shap,conda-forge/shap,,,,4256.0,4120.0,https://pypi.org/project/shap,2021-10-20 19:13:31.000000,136.0,4441970.0,4460305.0,https://anaconda.org/conda-forge/shap,2021-10-24 14:05:16.285000,733413.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n22,LightGBM,microsoft/LightGBM,,ml-frameworks,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000000,2021-12-30 07:57:40.000000,2021-12-30 05:12:00.000000,3433,163.0,2362.0,13331.0,2840.0,\"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..\",248.0,36,True,2021-10-27 23:58:39.000000,3.3.1,27.0,lightgbm,conda-forge/lightgbm,,,,11079.0,10523.0,https://pypi.org/project/lightgbm,2021-10-27 23:58:39.000000,556.0,10342669.0,10360943.0,https://anaconda.org/conda-forge/lightgbm,2021-11-20 15:50:31.621000,843388.0,,,,,1.0,,132298.0,,,,,,,,,,,,,,,,,,,\n23,gensim,RaRe-Technologies/gensim,,nlp,https://github.com/RaRe-Technologies/gensim,https://github.com/RaRe-Technologies/gensim,LGPL-2.1,2011-02-10 07:43:04.000000,2021-12-27 15:56:52.000000,2021-12-24 02:18:28.000000,4094,380.0,1360.0,12794.0,4263.0,Topic Modelling for Humans.,417.0,36,True,2021-09-18 14:21:47.000000,4.1.2,89.0,gensim,conda-forge/gensim,,,,34110.0,29368.0,https://pypi.org/project/gensim,2021-09-17 00:24:57.000000,4742.0,10100225.0,10115163.0,https://anaconda.org/conda-forge/gensim,2021-11-09 13:39:50.380000,759454.0,,,,,1.0,,3501.0,,,,,,,,,,,,,,,,,,,\n24,Plotly,plotly/plotly.py,,data-viz,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000000,2021-12-25 19:29:13.000000,2021-12-21 03:49:19.000000,2078,1036.0,1160.0,10745.0,5375.0,The interactive graphing library for Python (includes Plotly Express).,191.0,36,True,2021-12-21 03:50:17.000000,5.5.0,276.0,plotly,conda-forge/plotly,,,,4995.0,9.0,https://pypi.org/project/plotly,2021-12-21 03:47:21.000000,4982.0,7550654.0,7637368.0,https://anaconda.org/conda-forge/plotly,2021-12-21 05:39:52.763000,2138129.0,,,,,1.0,,,,plotlywidget,https://www.npmjs.com/package/plotlywidget,2021-01-12 16:09:46.133000,4.0,53306.0,,,,,,,,,,,,,\n25,joblib,joblib/joblib,,data-pipelines,https://github.com/joblib/joblib,https://github.com/joblib/joblib,BSD-3-Clause,2010-05-07 06:48:26.000000,2021-12-10 08:11:05.000000,2021-11-08 20:50:44.000000,315,332.0,376.0,2629.0,1385.0,Computing with Python functions.,106.0,36,True,2021-10-07 14:42:42.000000,1.1.0,102.0,joblib,conda-forge/joblib,,,,157786.0,151176.0,https://pypi.org/project/joblib,2021-10-07 14:42:42.000000,6610.0,25177910.0,25279456.0,https://anaconda.org/conda-forge/joblib,2021-10-07 20:15:36.705000,6600511.0,,,,,1.0,2.0,,,,,,,,,,,,,,,,,,,,\n26,h5py,h5py/h5py,,data-containers,https://github.com/h5py/h5py,https://github.com/h5py/h5py,BSD-3-Clause,2012-09-21 00:40:02.000000,2021-12-23 07:07:15.000000,2021-12-18 21:53:00.000000,431,221.0,1056.0,1649.0,3857.0,HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.,172.0,36,True,2021-11-16 13:35:22.000000,3.6.0,31.0,h5py,conda-forge/h5py,,,,167006.0,144070.0,https://pypi.org/project/h5py,2021-11-16 13:35:22.000000,22936.0,11001974.0,11100799.0,https://anaconda.org/conda-forge/h5py,2021-11-26 22:25:41.747000,6817023.0,,,,,2.0,,1646.0,,,,,,,,,,,,,,,,,,,\n27,pytorch-lightning,PyTorchLightning/pytorch-lightning,,ml-frameworks,https://github.com/PyTorchLightning/pytorch-lightning,https://github.com/PyTorchLightning/pytorch-lightning,Apache-2.0,2019-03-31 00:45:57.000000,2021-12-30 10:02:20.000000,2021-12-28 01:20:57.000000,2048,479.0,3983.0,16738.0,6317.0,\"The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.\",593.0,35,True,2021-12-21 18:44:58.000000,1.5.7,200.0,pytorch-lightning,conda-forge/pytorch-lightning,,,['pytorch'],6189.0,6175.0,https://pypi.org/project/pytorch-lightning,2021-12-21 18:44:58.000000,14.0,793395.0,814988.0,https://anaconda.org/conda-forge/pytorch-lightning,2021-12-21 20:18:18.340000,385644.0,,,,,2.0,,4926.0,,,,,,,,,,,,,,,,,,,\n28,onnx,onnx/onnx,,model-serialisation,https://github.com/onnx/onnx,https://github.com/onnx/onnx,Apache-2.0,2017-09-07 04:53:45.000000,2021-12-24 02:24:04.000000,2021-12-17 18:37:19.000000,2255,481.0,1316.0,11867.0,1863.0,Open standard for machine learning interoperability.,217.0,35,True,2021-10-26 19:14:09.000000,1.10.2,24.0,onnx,conda-forge/onnx,,,,5386.0,5090.0,https://pypi.org/project/onnx,2021-10-26 19:14:09.000000,296.0,1205896.0,1213037.0,https://anaconda.org/conda-forge/onnx,2021-12-14 07:56:56.053000,332991.0,,,,,1.0,,17333.0,,,,,,,,,,,,,,,,,,,\n29,nltk,nltk/nltk,,nlp,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58.000000,2021-12-29 13:04:08.000000,2021-12-29 13:03:52.000000,2536,205.0,1368.0,10332.0,,Suite of libraries and programs for symbolic and statistical natural language processing for English.,412.0,35,True,2021-12-28 23:28:57.000000,3.6.7,49.0,nltk,conda-forge/nltk,,,,146116.0,125124.0,https://pypi.org/project/nltk,2021-12-28 23:28:57.000000,20992.0,9182670.0,9199665.0,https://anaconda.org/conda-forge/nltk,2021-12-29 03:25:44.981000,1087703.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n30,networkx,networkx/networkx,,graph,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44.000000,2021-12-28 16:41:50.000000,2021-12-28 16:41:50.000000,2451,327.0,2453.0,10097.0,,Network Analysis in Python.,561.0,35,True,2021-09-09 22:09:39.000000,2.6.3,70.0,networkx,conda-forge/networkx,,,,114865.0,94047.0,https://pypi.org/project/networkx,2021-12-15 13:42:18.312000,20818.0,15768511.0,15852734.0,https://anaconda.org/conda-forge/networkx,2021-10-26 12:59:30.009000,5221864.0,,,,,1.0,,57.0,,,,,,,,,,,,,,,,,,,\n31,Theano,Theano/Theano,,ml-frameworks,https://github.com/Theano/Theano,https://github.com/Theano/Theano,BSD-3-Clause,2011-08-10 03:48:06.000000,2021-12-01 00:24:43.000000,2021-11-23 08:52:10.000000,2509,679.0,2086.0,9500.0,28127.0,\"Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving..\",384.0,35,True,2020-07-27 16:13:54.000000,1.0.5,45.0,theano,conda-forge/theano,,,,17403.0,11929.0,https://pypi.org/project/theano,2020-07-27 16:13:54.000000,5474.0,223118.0,250821.0,https://anaconda.org/conda-forge/theano,2021-11-10 16:59:17.809000,1800740.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n32,pydeck,visgl/deck.gl,,geospatial-data,https://github.com/visgl/deck.gl,https://github.com/visgl/deck.gl,MIT,2015-12-15 08:38:29.000000,2021-12-30 09:39:26.744000,2021-12-30 09:36:56.000000,1702,131.0,2202.0,9328.0,3898.0,WebGL2 powered visualization framework.,187.0,35,True,2021-12-09 17:45:11.000000,8.6.5,509.0,pydeck,conda-forge/pydeck,,,['jupyter'],3972.0,3410.0,https://pypi.org/project/pydeck,2021-10-25 17:38:40.000000,2.0,609778.0,836042.0,https://anaconda.org/conda-forge/pydeck,2021-10-26 00:42:05.329000,63877.0,,,,,1.0,,,,deck.gl,https://www.npmjs.com/package/deck.gl,2021-12-30 09:39:26.744000,560.0,223361.0,,,,,,,,,,,,,\n33,Pillow,python-pillow/Pillow,,image,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000000,2021-12-30 08:39:08.000000,2021-12-30 08:39:08.000000,1733,174.0,2233.0,9275.0,,The friendly PIL fork (Python Imaging Library).,378.0,35,True,2021-10-15 08:16:09.000000,8.4.0,84.0,Pillow,conda-forge/pillow,,,,111426.0,,https://pypi.org/project/Pillow,2021-10-15 08:10:15.000000,111426.0,32270469.0,32447330.0,https://anaconda.org/conda-forge/pillow,2021-11-10 16:07:31.860000,12026588.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n34,Ray,ray-project/ray,,distributed-ml,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000000,2021-12-30 11:36:47.000000,2021-12-30 07:44:06.000000,3147,2164.0,6878.0,18656.0,10803.0,\"An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged..\",608.0,34,True,2021-12-22 00:59:29.000000,ray-1.9.1,62.0,ray,,,,,3780.0,3620.0,https://pypi.org/project/ray,2021-12-22 00:56:20.000000,160.0,765549.0,765549.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n35,luigi,spotify/luigi,,data-pipelines,https://github.com/spotify/luigi,https://github.com/spotify/luigi,Apache-2.0,2012-09-20 15:06:38.000000,2021-12-30 09:04:57.000000,2021-12-28 02:22:14.000000,2314,103.0,851.0,15257.0,4013.0,\"Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution,..\",570.0,34,True,2021-11-06 14:59:15.000000,3.0.3,73.0,luigi,luigi,,,,2293.0,1617.0,https://pypi.org/project/luigi,2020-09-23 11:57:12.000000,676.0,601544.0,601668.0,https://anaconda.org/anaconda/luigi,2021-04-17 18:49:18.708000,8723.0,,,,,1.0,,,stable/luigi,,,,,,0.0,,,,,,,,,,,,\n36,dask,dask/dask,,distributed-ml,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000000,2021-12-28 09:29:57.000000,2021-12-22 14:34:08.000000,1406,752.0,3380.0,9339.0,,Parallel computing with task scheduling.,491.0,34,True,2021-12-10 19:50:17.000000,2021.12.0,133.0,dask,conda-forge/dask,,,,36537.0,32621.0,https://pypi.org/project/dask,2021-12-10 19:50:17.000000,3916.0,4883073.0,4954171.0,https://anaconda.org/conda-forge/dask,2021-12-11 02:29:38.463000,4763613.0,,,,,1.0,,,stable/dask,,,,,,,,,,,,,,,,,,\n37,rq,rq/rq,,data-pipelines,https://github.com/rq/rq,https://github.com/rq/rq,BSD-3-Clause,2011-11-14 10:53:48.000000,2021-12-14 14:40:21.000000,2021-12-11 11:36:16.000000,1261,169.0,772.0,8080.0,1618.0,Simple job queues for Python.,249.0,34,True,2021-12-07 12:48:17.000000,1.10.1,68.0,rq,conda-forge/rq,,,,12647.0,9323.0,https://pypi.org/project/rq,2021-12-07 12:46:58.000000,3324.0,457813.0,458832.0,https://anaconda.org/conda-forge/rq,2021-06-30 09:49:43.099000,66275.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n38,Altair,altair-viz/altair,,data-viz,https://github.com/altair-viz/altair,https://github.com/altair-viz/altair,BSD-3-Clause,2015-09-19 03:14:04.000000,2021-12-29 17:47:26.885000,2021-12-29 13:37:47.000000,630,240.0,1346.0,7176.0,3109.0,Declarative statistical visualization library for Python.,133.0,34,True,2021-12-29 13:30:58.000000,4.2.0,28.0,altair,conda-forge/altair,,,,20487.0,20117.0,https://pypi.org/project/altair,2021-12-29 13:25:37.000000,370.0,3828486.0,3844588.0,https://anaconda.org/conda-forge/altair,2021-12-29 17:47:26.885000,1046635.0,,,,,1.0,2.0,,,,,,,,,,,,,,,,,,,,\n39,Beam,apache/beam,,data-pipelines,https://github.com/apache/beam,https://github.com/apache/beam,Apache-2.0,2016-02-02 08:00:06.000000,2021-12-30 14:12:49.000000,2021-12-30 14:12:49.000000,3320,231.0,,5180.0,34064.0,\"Unified programming model to define and execute data processing pipelines, including ETL, batch and stream processing.\",1190.0,34,True,2021-12-30 02:00:52.000000,2.35.0,51.0,apache-beam,,,,,186.0,,https://pypi.org/project/apache-beam,2021-12-30 00:07:35.000000,186.0,4149431.0,4149431.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n40,scikit-image,scikit-image/scikit-image,,image,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,BSD-2-Clause,2011-07-07 22:07:20.000000,2021-12-30 04:13:03.000000,2021-12-29 20:50:47.000000,1929,314.0,2024.0,4701.0,,Image processing in Python.,538.0,34,True,2021-12-15 17:06:01.000000,0.19.1,43.0,scikit-image,conda-forge/scikit-image,,,,104174.0,89400.0,https://pypi.org/project/scikit-image,2021-12-15 17:04:53.000000,14774.0,6048345.0,6094317.0,https://anaconda.org/conda-forge/scikit-image,2021-12-17 22:08:09.599000,3080144.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n41,Thinc,explosion/thinc,,ml-frameworks,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59.000000,2021-12-21 12:40:42.000000,2021-12-21 12:40:42.000000,227,20.0,97.0,2425.0,5011.0,\"A refreshing functional take on deep learning, compatible with your favorite libraries.\",43.0,34,True,2021-11-05 12:27:02.000000,8.0.13,200.0,thinc,conda-forge/thinc,,,,19179.0,18041.0,https://pypi.org/project/thinc,2021-12-17 10:16:52.000000,1138.0,5634255.0,5664995.0,https://anaconda.org/conda-forge/thinc,2021-12-08 16:36:35.030000,1782956.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n42,TF Addons,tensorflow/addons,,tensorflow-utils,https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17.000000,2021-12-29 23:10:34.000000,2021-12-29 23:10:34.000000,480,218.0,695.0,1428.0,1428.0,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,182.0,34,True,2021-11-10 21:09:55.000000,0.15.0,28.0,tensorflow-addons,,,,['tensorflow'],5019.0,5001.0,https://pypi.org/project/tensorflow-addons,2021-11-10 21:40:18.000000,18.0,7097440.0,7097440.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n43,Airflow,apache/airflow,,data-pipelines,https://github.com/apache/airflow,https://github.com/apache/airflow,Apache-2.0,2015-04-13 18:04:58.000000,2021-12-30 14:08:05.000000,2021-12-30 14:08:04.000000,9778,946.0,3872.0,24506.0,,\"Platform to programmatically author, schedule, and monitor workflows.\",2206.0,33,True,2021-12-21 17:25:57.000000,2.2.3,100.0,apache-airflow,conda-forge/airflow,apache/airflow,,,294.0,,https://pypi.org/project/apache-airflow,2021-12-21 16:23:13.000000,294.0,4052224.0,4776223.0,https://anaconda.org/conda-forge/airflow,2021-12-22 16:00:13.998000,516015.0,https://hub.docker.com/r/apache/airflow,2021-12-21 23:47:08.459338,308.0,56931214.0,2.0,,226321.0,stable/airflow,,,,,,,,,,,,,,,,,,\n44,MXNet,apache/incubator-mxnet,,ml-frameworks,https://github.com/apache/incubator-mxnet,https://github.com/apache/incubator-mxnet,Apache-2.0,2015-04-30 16:21:15.000000,2021-12-29 13:45:20.000000,2021-12-29 00:24:06.000000,6882,1953.0,7695.0,19802.0,11762.0,\"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..\",971.0,33,True,2021-12-18 21:55:54.000000,1.9.0,981.0,mxnet,mxnet,,,['mxnet'],444.0,,https://pypi.org/project/mxnet,2021-12-18 21:55:54.000000,444.0,295837.0,296342.0,https://anaconda.org/anaconda/mxnet,2020-02-29 00:58:31.007000,6860.0,,,,,2.0,,24385.0,,,,,,,0.0,,,,,,,,,,,,\n45,Bokeh,bokeh/bokeh,,data-viz,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000000,2021-12-29 22:54:17.000000,2021-12-29 18:50:25.000000,3843,715.0,6104.0,15838.0,,\"Interactive Data Visualization in the browser, from Python.\",590.0,33,True,2021-11-22 17:49:14.000000,2.4.2,116.0,bokeh,conda-forge/bokeh,,,,48351.0,42479.0,https://pypi.org/project/bokeh,2021-12-09 00:55:55.000000,5872.0,1977903.0,2089784.0,https://anaconda.org/conda-forge/bokeh,2021-11-22 21:24:20.205000,6265372.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n46,dash,plotly/dash,,data-viz,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000000,2021-12-24 23:37:02.000000,2021-12-24 23:36:39.000000,1608,553.0,617.0,15667.0,5518.0,\"Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.\",103.0,33,True,2021-09-04 01:00:46.000000,2.0.0,143.0,dash,conda-forge/dash,,,,1773.0,165.0,https://pypi.org/project/dash,2021-09-04 00:32:40.000000,1608.0,1011388.0,1019242.0,https://anaconda.org/conda-forge/dash,2021-09-21 14:47:05.413000,337746.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n47,mlflow,mlflow/mlflow,,ml-experiments,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000000,2021-12-29 23:48:31.000000,2021-12-27 03:13:41.000000,2413,936.0,1180.0,10948.0,2419.0,Open source platform for the machine learning lifecycle.,347.0,33,True,2021-11-30 01:37:44.000000,1.22.0,52.0,mlflow,conda-forge/mlflow,,,,154.0,,https://pypi.org/project/mlflow,2021-11-30 00:54:31.000000,154.0,14763228.0,14777601.0,https://anaconda.org/conda-forge/mlflow,2021-12-08 06:29:58.220000,459948.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n48,dlib,davisking/dlib,,ml-frameworks,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000000,2021-12-29 09:56:21.000000,2021-12-16 13:16:59.000000,2987,36.0,1941.0,10825.0,7995.0,A toolkit for making real world machine learning and data analysis applications in C++.,171.0,33,False,2021-08-14 14:21:18.000000,19.22.1,29.0,dlib,conda-forge/dlib,,,,13896.0,12538.0,https://pypi.org/project/dlib,2021-08-14 14:21:18.000000,1358.0,122737.0,129070.0,https://anaconda.org/conda-forge/dlib,2021-04-03 09:47:47.788000,378964.0,,,,,2.0,,24832.0,,,,,,,,,,,,,,,,,,,\n49,pandas-profiling,pandas-profiling/pandas-profiling,,data-viz,https://github.com/pandas-profiling/pandas-profiling,https://github.com/pandas-profiling/pandas-profiling,MIT,2016-01-09 23:47:55.000000,2021-12-29 08:19:57.000000,2021-12-23 17:54:10.000000,1194,95.0,434.0,8356.0,922.0,Create HTML profiling reports from pandas DataFrame objects.,83.0,33,True,2021-09-27 23:12:22.000000,3.1.0,31.0,pandas-profiling,conda-forge/pandas-profiling,,,\"['jupyter', 'pandas']\",6390.0,6230.0,https://pypi.org/project/pandas-profiling,2021-09-27 23:12:22.000000,160.0,1965782.0,1968623.0,https://anaconda.org/conda-forge/pandas-profiling,2021-09-28 13:50:05.966000,181878.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n50,StatsModels,statsmodels/statsmodels,,ml-frameworks,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000000,2021-12-23 15:17:05.000000,2021-12-21 20:10:45.000000,2372,2242.0,2459.0,6967.0,,Statsmodels: statistical modeling and econometrics in Python.,349.0,33,True,2021-11-12 23:27:25.000000,0.13.1,29.0,statsmodels,conda-forge/statsmodels,,,,61939.0,55283.0,https://pypi.org/project/statsmodels,2021-12-15 13:56:38.577000,6656.0,7217011.0,7299250.0,https://anaconda.org/conda-forge/statsmodels,2021-11-13 01:23:06.115000,5427783.0,,,,,2.0,,26.0,,,,,,,,,,,,,,,,,,,\n51,Optuna,optuna/optuna,,hyperopt,https://github.com/optuna/optuna,https://github.com/optuna/optuna,MIT,2018-02-21 06:12:56.000000,2021-12-30 03:36:54.000000,2021-12-28 06:13:25.000000,627,142.0,899.0,5728.0,11170.0,A hyperparameter optimization framework.,171.0,33,True,2021-10-04 06:37:16.000000,2.10.0,42.0,optuna,conda-forge/optuna,,,,2476.0,2424.0,https://pypi.org/project/optuna,2021-12-06 06:45:58.000000,52.0,703112.0,705075.0,https://anaconda.org/conda-forge/optuna,2021-10-04 08:58:48.864000,49078.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n52,geopy,geopy/geopy,,geospatial-data,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000000,2021-12-15 15:51:51.000000,2021-09-26 10:28:21.000000,555,24.0,227.0,3526.0,1072.0,Geocoding library for Python.,123.0,33,True,2021-07-11 12:18:10.000000,2.2.0,58.0,geopy,conda-forge/geopy,,,,38288.0,31044.0,https://pypi.org/project/geopy,2021-07-11 12:15:26.000000,7244.0,3361437.0,3370638.0,https://anaconda.org/conda-forge/geopy,2021-07-12 18:34:05.605000,634877.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n53,Graphviz,xflr6/graphviz,,data-viz,https://github.com/xflr6/graphviz,https://github.com/xflr6/graphviz,MIT,2014-01-12 17:49:29.000000,2021-12-21 11:02:13.000000,2021-12-21 10:59:04.000000,164,4.0,119.0,1120.0,1129.0,Simple Python interface for Graphviz.,17.0,33,True,2021-12-12 11:06:31.000000,0.19.1,53.0,graphviz,,,,,31124.0,26742.0,https://pypi.org/project/graphviz,2021-12-12 11:06:31.000000,4382.0,8393297.0,8393297.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n54,imageio,imageio/imageio,,image,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000000,2021-12-29 11:44:58.030000,2021-12-23 02:38:56.000000,193,72.0,334.0,971.0,1314.0,Python library for reading and writing image data.,83.0,33,True,2021-12-23 02:39:09.000000,2.13.5,45.0,imageio,conda-forge/imageio,,,,57326.0,53488.0,https://pypi.org/project/imageio,2021-12-23 02:39:06.000000,3838.0,14535221.0,14576467.0,https://anaconda.org/conda-forge/imageio,2021-12-29 11:44:58.030000,2433416.0,,,,,1.0,,92.0,,,,,,,,,,,,,,,,,,,\n55,Fastai,fastai/fastai,,ml-frameworks,https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000000,2021-12-23 22:18:20.000000,2021-11-29 01:25:55.000000,7126,96.0,1446.0,21759.0,1851.0,The fastai deep learning library.,605.0,32,True,2021-10-23 07:16:08.000000,2.5.3,126.0,fastai,,,,['pytorch'],368.0,,https://pypi.org/project/fastai,2021-10-23 07:16:08.000000,368.0,207646.0,207646.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n56,PaddlePaddle,PaddlePaddle/Paddle,,ml-frameworks,https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000000,2021-12-30 13:54:05.000000,2021-12-30 12:22:23.000000,4209,2796.0,11978.0,17351.0,15069.0,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,679.0,32,True,2021-12-08 05:04:30.000000,2.2.1,51.0,paddlepaddle,,,,['paddle'],101.0,85.0,https://pypi.org/project/paddlepaddle,2021-12-02 06:01:39.000000,16.0,105185.0,105424.0,,,,,,,,2.0,,15306.0,,,,,,,,,,,,,,,,,,,\n57,imgaug,aleju/imgaug,,image,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33.000000,2021-10-27 15:54:07.000000,2020-06-01 14:58:26.000000,2164,256.0,219.0,12139.0,2913.0,Image augmentation for machine learning experiments.,36.0,32,False,2020-02-06 06:18:40.000000,0.4.0,11.0,imgaug,conda-forge/imgaug,,,,9110.0,8554.0,https://pypi.org/project/imgaug,2020-02-05 20:54:22.000000,556.0,239102.0,241076.0,https://anaconda.org/conda-forge/imgaug,2020-02-14 16:06:53.525000,59221.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n58,tensor2tensor,tensorflow/tensor2tensor,,tensorflow-utils,https://github.com/tensorflow/tensor2tensor,https://github.com/tensorflow/tensor2tensor,Apache-2.0,2017-06-15 16:57:39.000000,2021-12-02 18:50:34.000000,2021-12-02 18:50:33.000000,2929,563.0,669.0,11892.0,4361.0,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,235.0,32,True,2020-06-17 16:15:36.000000,1.15.7,79.0,tensor2tensor,,,,['tensorflow'],1263.0,1099.0,https://pypi.org/project/tensor2tensor,2020-06-17 16:15:36.000000,164.0,335175.0,335175.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n59,pyecharts,pyecharts/pyecharts,,data-viz,https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000000,2021-12-13 09:21:35.000000,2021-11-16 06:25:52.000000,2559,29.0,1501.0,11851.0,1522.0,Python Echarts Plotting Library.,30.0,32,True,2021-11-16 06:27:35.000000,1.9.1,67.0,pyecharts,,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,['jupyter'],2252.0,1970.0,https://pypi.org/project/pyecharts,2021-11-16 06:27:35.000000,282.0,81746.0,81746.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n60,AllenNLP,allenai/allennlp,,nlp,https://github.com/allenai/allennlp,https://github.com/allenai/allennlp,Apache-2.0,2017-05-15 15:52:41.000000,2021-12-30 11:51:07.000000,2021-12-24 00:03:40.000000,2152,112.0,2379.0,10724.0,2357.0,\"An open-source NLP research library, built on PyTorch.\",254.0,32,True,2021-11-01 21:44:06.000000,2.8.0,242.0,allennlp,,,,['pytorch'],2387.0,2153.0,https://pypi.org/project/allennlp,2021-12-30 11:51:07.000000,234.0,34352.0,34352.0,,,,,,,,1.0,,43.0,,,,,,,,,,,,,,,,,,,\n61,torchvision,pytorch/vision,,image,https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000000,2021-12-30 12:48:12.000000,2021-12-27 09:09:33.000000,5438,584.0,1548.0,10626.0,,\"Datasets, Transforms and Models specific to Computer Vision.\",446.0,32,True,2021-12-16 10:07:38.000000,0.11.2,28.0,torchvision,conda-forge/torchvision,,,['pytorch'],4612.0,,https://pypi.org/project/torchvision,2021-12-15 22:24:28.000000,4612.0,3173787.0,3177083.0,https://anaconda.org/conda-forge/torchvision,2021-09-27 23:35:13.750000,158217.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n62,Albumentations,albumentations-team/albumentations,,image,https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000000,2021-12-29 22:10:33.000000,2021-12-24 19:26:29.000000,1188,239.0,331.0,9418.0,698.0,Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation:..,100.0,32,True,2021-10-04 09:30:33.000000,1.1.0,49.0,albumentations,conda-forge/albumentations,,,['pytorch'],6259.0,6131.0,https://pypi.org/project/albumentations,2021-10-04 09:30:33.000000,128.0,190922.0,191897.0,https://anaconda.org/conda-forge/albumentations,2021-07-15 13:53:18.638000,29270.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n63,MoviePy,Zulko/moviepy,,image,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000000,2021-12-30 09:32:20.000000,2021-11-12 17:14:13.000000,1183,346.0,765.0,8833.0,1072.0,Video editing with Python.,145.0,32,True,2020-05-07 16:29:35.000000,1.0.3,85.0,moviepy,conda-forge/moviepy,,,,13666.0,12536.0,https://pypi.org/project/moviepy,2021-12-15 14:41:26.454000,1130.0,1454022.0,1455893.0,https://anaconda.org/conda-forge/moviepy,2020-02-23 19:57:49.975000,99164.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n64,TextBlob,sloria/TextBlob,,nlp,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18.000000,2021-12-15 14:34:36.304000,2021-10-22 03:17:05.000000,1057,101.0,154.0,8004.0,535.0,\"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..\",35.0,32,True,2021-10-22 03:18:24.000000,0.17.1,59.0,textblob,conda-forge/textblob,,,,18917.0,16425.0,https://pypi.org/project/textblob,2021-12-15 14:34:36.304000,2492.0,770593.0,772883.0,https://anaconda.org/conda-forge/textblob,2019-02-24 23:32:55.233000,146617.0,,,,,1.0,,97.0,,,,,,,,,,,,,,,,,,,\n65,tensorboardX,lanpa/tensorboardX,,ml-experiments,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19.000000,2021-12-26 14:56:05.000000,2021-12-26 14:56:05.000000,841,74.0,361.0,7195.0,479.0,\"tensorboard for pytorch (and chainer, mxnet, numpy, ...).\",70.0,32,True,2021-11-21 09:12:04.000000,2.4.1,16.0,tensorboardX,conda-forge/tensorboardx,,,,17564.0,16230.0,https://pypi.org/project/tensorboardX,2021-11-21 09:12:04.000000,1334.0,623862.0,637236.0,https://anaconda.org/conda-forge/tensorboardx,2021-08-10 02:00:22.589000,628296.0,,,,,1.0,,341.0,,,,,,,,,,,,,,,,,,,\n66,Hyperopt,hyperopt/hyperopt,,hyperopt,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59.000000,2021-12-16 22:20:37.000000,2021-11-29 10:21:36.000000,924,356.0,231.0,6008.0,1194.0,Distributed Asynchronous Hyperparameter Optimization in Python.,93.0,32,True,2021-11-17 10:05:44.000000,0.2.7,13.0,hyperopt,conda-forge/hyperopt,,,,5985.0,5481.0,https://pypi.org/project/hyperopt,2021-11-17 10:05:44.000000,504.0,1820837.0,1828884.0,https://anaconda.org/conda-forge/hyperopt,2020-10-14 07:57:14.292000,313857.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n67,CuPy,cupy/cupy,,gpu-utilities,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000000,2021-12-30 13:25:51.000000,2021-12-28 09:09:05.000000,534,360.0,1267.0,5650.0,24091.0,NumPy & SciPy for GPU.,289.0,32,True,2021-12-09 06:46:26.000000,10.0.0,105.0,cupy,conda-forge/cupy,cupy/cupy,,,1094.0,902.0,https://pypi.org/project/cupy,2021-12-09 03:55:11.000000,192.0,97603.0,141195.0,https://anaconda.org/conda-forge/cupy,2021-12-16 20:36:38.854000,1098904.0,https://hub.docker.com/r/cupy/cupy,2021-12-09 06:50:02.321705,7.0,53680.0,1.0,,23737.0,,,,,,,,,,,,,,,,,,,\n68,imbalanced-learn,scikit-learn-contrib/imbalanced-learn,,sklearn-utils,https://github.com/scikit-learn-contrib/imbalanced-learn,https://github.com/scikit-learn-contrib/imbalanced-learn,MIT,2014-08-16 05:08:26.000000,2021-12-20 08:30:06.000000,2021-12-07 14:20:09.000000,1131,56.0,439.0,5633.0,757.0,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,61.0,32,True,2021-09-29 13:11:34.000000,0.8.1,28.0,imbalanced-learn,conda-forge/imbalanced-learn,,,['sklearn'],8929.0,8649.0,https://pypi.org/project/imbalanced-learn,2021-09-29 12:58:22.000000,280.0,2816996.0,2820514.0,https://anaconda.org/conda-forge/imbalanced-learn,2021-09-29 14:10:14.261000,175900.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n69,UMAP,lmcinnes/umap,,data-viz,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17.000000,2021-12-30 00:48:12.000000,2021-12-29 17:27:23.000000,598,305.0,285.0,5299.0,1512.0,Uniform Manifold Approximation and Projection.,95.0,32,True,2021-10-29 16:33:56.000000,0.5.2,36.0,umap-learn,,,,,4515.0,4289.0,https://pypi.org/project/umap-learn,2021-10-29 16:33:56.000000,226.0,1554839.0,1554839.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n70,MLxtend,rasbt/mlxtend,,sklearn-utils,https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16.000000,2021-12-20 19:21:56.000000,2021-12-20 19:21:56.000000,729,99.0,298.0,3739.0,1251.0,A library of extension and helper modules for Python's data analysis and machine learning libraries.,85.0,32,True,2021-09-03 00:02:55.000000,0.19.0,47.0,mlxtend,conda-forge/mlxtend,,,['sklearn'],5063.0,4873.0,https://pypi.org/project/mlxtend,2021-09-03 00:02:55.000000,190.0,1345785.0,1349395.0,https://anaconda.org/conda-forge/mlxtend,2021-09-03 13:27:33.719000,191332.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n71,SageMaker SDK,aws/sagemaker-python-sdk,,ml-experiments,https://github.com/aws/sagemaker-python-sdk,https://github.com/aws/sagemaker-python-sdk,Apache-2.0,2017-11-14 01:03:33.000000,2021-12-30 04:56:31.000000,2021-12-30 00:21:45.000000,724,324.0,638.0,1534.0,2299.0,A library for training and deploying machine learning models on Amazon SageMaker.,240.0,32,True,2021-12-20 16:35:39.000000,2.72.1,396.0,sagemaker,,,,\"['mxnet', 'tensorflow']\",1023.0,995.0,https://pypi.org/project/sagemaker,2021-12-20 16:35:39.000000,28.0,2332871.0,2332871.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n72,dask.distributed,dask/distributed,,distributed-ml,https://github.com/dask/distributed,https://github.com/dask/distributed,BSD-3-Clause,2015-09-13 18:42:29.000000,2021-12-30 06:57:08.000000,2021-12-23 14:36:41.000000,581,881.0,1656.0,1284.0,,A distributed task scheduler for Dask.,258.0,32,True,2021-12-10 19:50:18.000000,2021.12.0,164.0,distributed,conda-forge/distributed,,,,23284.0,21506.0,https://pypi.org/project/distributed,2021-12-10 19:50:18.000000,1778.0,5625108.0,5714549.0,https://anaconda.org/conda-forge/distributed,2021-12-11 01:03:02.700000,5992609.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n73,Keras,keras-team/keras,,ml-frameworks,https://github.com/keras-team/keras,https://github.com/keras-team/keras,Apache-2.0,2015-03-28 00:35:42.000000,2021-12-29 02:09:18.000000,2021-12-29 02:09:13.000000,18898,247.0,10791.0,53566.0,6303.0,Deep Learning for humans.,1010.0,31,True,2021-11-03 16:24:54.000000,2.7.0,59.0,keras,conda-forge/keras,,https://keras.io,['tensorflow'],0.0,,https://pypi.org/project/keras,2021-12-21 23:41:49.000000,0.0,7342899.0,7373895.0,https://anaconda.org/conda-forge/keras,2021-11-25 20:30:37.739000,1983805.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n74,jieba,fxsjy/jieba,,chinese-nlp,https://github.com/fxsjy/jieba,https://github.com/fxsjy/jieba,MIT,2012-09-29 07:52:01.000000,2021-07-25 14:17:48.000000,2020-02-15 08:33:35.000000,6437,630.0,208.0,27637.0,523.0,Chinese Words Segmentation Utilities.,48.0,31,False,2020-01-20 14:27:23.000000,0.42.1,32.0,jieba,conda-forge/jieba,,,,14545.0,12029.0,https://pypi.org/project/jieba,2020-01-20 14:27:23.000000,2516.0,487700.0,489482.0,https://anaconda.org/conda-forge/jieba,2021-05-30 19:33:02.597000,99800.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n75,jax,google/jax,,ml-frameworks,https://github.com/google/jax,https://github.com/google/jax,Apache-2.0,2018-10-25 21:25:02.000000,2021-12-30 09:39:43.000000,2021-12-30 09:39:40.000000,1420,928.0,2001.0,15740.0,,\"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.\",348.0,31,True,2021-12-08 19:21:57.000000,0.2.26,105.0,jax,conda-forge/jaxlib,,,,3193.0,3147.0,https://pypi.org/project/jax,2021-12-08 19:21:57.000000,46.0,471948.0,480658.0,https://anaconda.org/conda-forge/jaxlib,2021-12-10 12:52:23.006000,252604.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n76,ChatterBot,gunthercox/ChatterBot,,nlp,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00.000000,2021-12-30 02:23:26.000000,2021-06-01 10:43:00.000000,3910,300.0,1247.0,11868.0,1848.0,\"ChatterBot is a machine learning, conversational dialog engine for creating chat bots.\",103.0,31,True,2020-08-22 18:42:43.000000,1.0.8,86.0,chatterbot,,,,,4742.0,4062.0,https://pypi.org/project/chatterbot,2020-08-22 18:40:36.000000,680.0,32030.0,32030.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n77,flair,flairNLP/flair,,nlp,https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,MIT,2018-06-11 11:04:18.000000,2021-12-30 13:05:36.000000,2021-12-30 13:02:30.000000,1769,88.0,1634.0,11093.0,4135.0,A very simple framework for state-of-the-art Natural Language Processing (NLP).,215.0,31,True,2021-11-18 08:33:59.000000,0.10,23.0,flair,,,,['pytorch'],1148.0,1100.0,https://pypi.org/project/flair,2021-11-18 08:22:02.000000,48.0,56766.0,56766.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n78,fuzzywuzzy,seatgeek/fuzzywuzzy,,nlp,https://github.com/seatgeek/fuzzywuzzy,https://github.com/seatgeek/fuzzywuzzy,GPL-2.0,2011-07-08 19:32:34.000000,2021-11-02 23:56:01.000000,2021-09-09 20:54:41.000000,860,103.0,102.0,8588.0,384.0,Fuzzy String Matching in Python.,70.0,31,False,2020-02-13 22:14:12.000000,0.18.0,27.0,fuzzywuzzy,conda-forge/fuzzywuzzy,,,,13926.0,10720.0,https://pypi.org/project/fuzzywuzzy,2020-02-13 21:06:25.000000,3206.0,5086805.0,5092066.0,https://anaconda.org/conda-forge/fuzzywuzzy,2020-11-18 12:59:01.409000,342024.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n79,wordcloud,amueller/word_cloud,,data-viz,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59.000000,2021-11-19 09:10:54.000000,2021-11-13 00:48:18.000000,2144,110.0,360.0,8517.0,549.0,A little word cloud generator in Python.,64.0,31,True,2020-11-11 21:41:02.000000,1.8.1,16.0,wordcloud,conda-forge/wordcloud,,,,1104.0,,https://pypi.org/project/wordcloud,2020-11-11 21:41:02.000000,1104.0,580028.0,583966.0,https://anaconda.org/conda-forge/wordcloud,2021-11-15 20:34:05.364000,252083.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n80,glfw,glfw/glfw,,image,https://github.com/glfw/glfw,https://github.com/glfw/glfw,Zlib,2013-04-18 15:24:53.000000,2021-12-30 09:49:20.000000,2021-12-27 00:31:38.000000,3230,467.0,1068.0,8465.0,4375.0,\"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.\",178.0,31,False,2021-12-18 09:10:57.000000,2.5.0,42.0,glfw,conda-forge/glfw,,,,215.0,1.0,https://pypi.org/project/glfw,2021-12-18 09:10:57.000000,214.0,71416.0,104394.0,https://anaconda.org/conda-forge/glfw,2021-12-10 00:25:15.337000,42591.0,,,,,2.0,,2569809.0,,,,,,,,,,,,,,,,,,,\n81,Prefect,PrefectHQ/prefect,,data-pipelines,https://github.com/PrefectHQ/prefect,https://github.com/PrefectHQ/prefect,Apache-2.0,2018-06-29 21:59:26.000000,2021-12-30 13:35:51.000000,2021-12-29 17:53:14.000000,759,392.0,1612.0,8015.0,14251.0,The easiest way to automate your data.,281.0,31,True,2021-12-22 22:07:01.000000,0.15.11,112.0,prefect,conda-forge/prefect,,,,542.0,540.0,https://pypi.org/project/prefect,2021-12-22 22:07:01.000000,2.0,162184.0,169191.0,https://anaconda.org/conda-forge/prefect,2021-12-23 15:32:46.415000,231241.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n82,sentence-transformers,UKPLab/sentence-transformers,,nlp,https://github.com/UKPLab/sentence-transformers,https://github.com/UKPLab/sentence-transformers,Apache-2.0,2019-07-24 10:53:51.000000,2021-12-30 09:32:37.000000,2021-12-30 09:32:37.000000,1283,607.0,618.0,6746.0,1023.0,Multilingual Sentence & Image Embeddings with BERT.,68.0,31,True,2021-10-01 09:10:30.000000,2.1.0,40.0,sentence-transformers,,,,['pytorch'],2123.0,2123.0,https://pypi.org/project/sentence-transformers,2021-10-01 08:44:06.000000,0.0,535230.0,535230.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n83,Catboost,catboost/catboost,,ml-frameworks,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000000,2021-12-30 13:33:26.000000,2021-12-30 13:33:23.000000,937,324.0,1359.0,6269.0,20247.0,\"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..\",935.0,31,True,2021-11-04 04:25:01.000000,1.0.3,100.0,catboost,conda-forge/catboost,,,,162.0,,https://pypi.org/project/catboost,2021-11-04 02:36:37.000000,162.0,3238274.0,3260339.0,https://anaconda.org/conda-forge/catboost,2021-11-09 18:53:14.338000,889260.0,,,,,2.0,,70642.0,,,,,,,,,,,,,,,,,,,\n84,Chainer,chainer/chainer,,ml-frameworks,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37.000000,2021-12-30 07:37:11.000000,2021-06-10 08:30:31.000000,1374,18.0,2026.0,5662.0,30595.0,A flexible framework of neural networks for deep learning.,320.0,31,True,2021-06-10 09:05:28.000000,7.8.0,110.0,chainer,,,,,3197.0,2455.0,https://pypi.org/project/chainer,2021-06-10 08:29:05.000000,742.0,20871.0,20871.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n85,PyOD,yzhao062/pyod,,others,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04.000000,2021-12-28 20:37:52.000000,2021-12-25 03:11:38.000000,1007,116.0,116.0,5126.0,1410.0,A Python Toolbox for Scalable Outlier Detection (Anomaly Detection).,33.0,31,True,2021-12-25 03:24:47.000000,0.9.6,74.0,pyod,,,,,1043.0,1037.0,https://pypi.org/project/pyod,2021-12-25 03:23:33.000000,6.0,469946.0,469946.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n86,Dagster,dagster-io/dagster,,data-pipelines,https://github.com/dagster-io/dagster,https://github.com/dagster-io/dagster,Apache-2.0,2018-04-30 16:30:04.000000,2021-12-30 05:23:43.000000,2021-12-24 02:57:15.000000,494,850.0,2695.0,4134.0,9333.0,\"An orchestration platform for the development, production, and observation of data assets.\",178.0,31,True,2021-12-17 00:42:03.000000,0.13.12,410.0,dagster,conda-forge/dagster,,,,281.0,277.0,https://pypi.org/project/dagster,2021-12-17 00:36:33.000000,4.0,174190.0,191296.0,https://anaconda.org/conda-forge/dagster,2021-12-17 19:04:03.892000,427667.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n87,dbt,fishtown-analytics/dbt,,data-pipelines,https://github.com/dbt-labs/dbt-core,https://github.com/dbt-labs/dbt-core,Apache-2.0,2016-03-10 02:38:00.000000,2021-12-28 20:10:29.000000,2021-12-23 14:26:22.000000,711,263.0,2150.0,3956.0,2481.0,dbt enables data analysts and engineers to transform their data using the same practices that software engineers use..,189.0,31,True,2021-12-06 20:32:12.000000,1.0.0,173.0,dbt,conda-forge/dbt,,,,255.0,237.0,https://pypi.org/project/dbt,2021-12-06 20:32:12.000000,18.0,578216.0,581318.0,https://anaconda.org/conda-forge/dbt,2021-12-09 22:07:39.668000,189201.0,,,,,2.0,,113.0,,,,,,,,dbt,dbt-labs/dbt-core,,,,,,,,,,\n88,TensorFlow Datasets,tensorflow/datasets,,tensorflow-utils,https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000000,2021-12-29 20:46:51.000000,2021-12-29 20:46:47.000000,1184,515.0,605.0,3096.0,4498.0,\"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...\",240.0,31,True,2021-07-28 12:29:08.000000,4.4.0,23.0,tensorflow-datasets,,,,['tensorflow'],102.0,,https://pypi.org/project/tensorflow-datasets,2021-07-28 12:24:01.000000,102.0,1705180.0,1705180.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n89,tensorflow-hub,tensorflow/hub,,tensorflow-utils,https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42.000000,2021-12-30 14:43:51.000000,2021-12-30 14:43:49.000000,1610,15.0,617.0,3013.0,1018.0,A library for transfer learning by reusing parts of TensorFlow models.,83.0,31,True,2021-04-14 13:17:26.000000,0.12.0,15.0,tensorflow-hub,conda-forge/tensorflow-hub,,,['tensorflow'],10024.0,9710.0,https://pypi.org/project/tensorflow-hub,2021-04-14 12:54:13.000000,314.0,3118427.0,3119842.0,https://anaconda.org/conda-forge/tensorflow-hub,2021-04-18 18:01:14.779000,59459.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n90,PyQtGraph,pyqtgraph/pyqtgraph,,data-viz,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21.000000,2021-12-30 09:17:32.000000,2021-12-15 18:20:57.000000,896,309.0,677.0,2667.0,3138.0,Fast data visualization and GUI tools for scientific / engineering applications.,214.0,31,True,2021-10-11 03:35:04.000000,0.12.3,16.0,pyqtgraph,conda-forge/pyqtgraph,,,,890.0,,https://pypi.org/project/pyqtgraph,2021-10-11 03:35:04.000000,890.0,69154.0,72746.0,https://anaconda.org/conda-forge/pyqtgraph,2021-10-11 16:15:08.513000,211950.0,,,,,2.0,2.0,,,,,,,,,,,,,,,,,,,,\n91,Shapely,Toblerity/Shapely,,geospatial-data,https://github.com/shapely/shapely,https://github.com/shapely/shapely,BSD-3-Clause,2011-12-31 19:43:11.000000,2021-12-29 15:05:56.000000,2021-12-27 14:37:51.000000,440,148.0,660.0,2573.0,,Manipulation and analysis of geometric objects.,131.0,31,True,2021-10-25 16:52:16.000000,1.8.0,105.0,shapely,conda-forge/shapely,,,,30420.0,24962.0,https://pypi.org/project/shapely,2021-10-25 16:26:07.000000,5458.0,5797132.0,5838657.0,https://anaconda.org/conda-forge/shapely,2021-11-20 09:37:12.537000,3072912.0,,,,,1.0,,,,,,,,,,,shapely/shapely,,,,,,,,,,\n92,opencv-python,opencv/opencv-python,,image,https://github.com/opencv/opencv-python,https://github.com/opencv/opencv-python,MIT,2016-04-08 13:36:40.000000,2021-12-29 05:59:26.000000,2021-12-27 16:40:57.000000,483,30.0,467.0,2432.0,820.0,\"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..\",36.0,31,True,2021-12-28 06:05:52.000000,62,61.0,opencv-python,,,,,12560.0,,https://pypi.org/project/opencv-python,2021-12-29 05:59:26.000000,12560.0,4337546.0,4337546.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n93,numexpr,pydata/numexpr,,data-containers,https://github.com/pydata/numexpr,https://github.com/pydata/numexpr,MIT,2013-11-30 22:33:48.000000,2021-12-16 07:15:20.000000,2021-12-10 22:32:48.000000,172,58.0,258.0,1708.0,701.0,\"Fast numerical array expression evaluator for Python, NumPy, PyTables, pandas, bcolz and more.\",59.0,31,True,2021-12-10 22:03:53.000000,2.8.1,43.0,numexpr,conda-forge/numexpr,,,,5482.0,,https://pypi.org/project/numexpr,2021-12-15 14:40:01.971000,5482.0,1534126.0,1587667.0,https://anaconda.org/conda-forge/numexpr,2021-12-09 17:29:02.384000,3426677.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n94,Rasterio,mapbox/rasterio,,geospatial-data,https://github.com/rasterio/rasterio,https://github.com/rasterio/rasterio,BSD-3-Clause,2013-11-04 16:36:27.000000,2021-12-29 20:50:59.000000,2021-12-23 03:16:02.000000,455,138.0,1352.0,1644.0,3465.0,Rasterio reads and writes geospatial raster datasets.,118.0,31,True,2021-10-21 15:00:11.000000,1.3a2,133.0,rasterio,conda-forge/rasterio,,,,4994.0,4144.0,https://pypi.org/project/rasterio,2021-10-15 02:04:49.000000,850.0,666820.0,686514.0,https://anaconda.org/conda-forge/rasterio,2021-12-03 17:40:11.927000,1358317.0,,,,,1.0,,742.0,,,,,,,,,rasterio/rasterio,,,,,,,,,,\n95,Wand,emcconville/wand,,image,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000000,2021-11-20 16:28:51.000000,2021-11-20 16:28:47.000000,192,16.0,347.0,1136.0,1741.0,The ctypes-based simple ImageMagick binding for Python.,97.0,31,True,2021-08-17 02:43:04.000000,0.6.7,50.0,wand,,,,,9306.0,8136.0,https://pypi.org/project/wand,2021-08-17 02:13:00.000000,1170.0,331746.0,331888.0,,,,,,,,2.0,,5272.0,,,,,,,,,,,,,,,,,,,\n96,fastText,facebookresearch/fastText,,nlp,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000000,2021-12-17 14:37:54.000000,2020-07-18 00:20:40.000000,4392,470.0,597.0,23234.0,379.0,Library for fast text representation and classification.,58.0,30,False,2020-04-28 09:54:50.000000,0.9.2,35.0,fasttext,conda-forge/fasttext,,,,2637.0,2447.0,https://pypi.org/project/fasttext,2020-04-28 09:54:50.000000,190.0,420306.0,420819.0,https://anaconda.org/conda-forge/fasttext,2021-11-08 12:46:40.327000,25665.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n97,DeepSpeech,mozilla/DeepSpeech,,audio,https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53.000000,2021-12-03 15:25:49.000000,2021-11-17 17:52:52.000000,3312,119.0,1933.0,18737.0,3466.0,\"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..\",162.0,30,True,2020-12-10 17:22:09.000000,0.9.3,100.0,deepspeech,,,,['tensorflow'],705.0,647.0,https://pypi.org/project/deepspeech,2020-12-19 10:05:12.000000,58.0,7120.0,26976.0,,,,,,,,1.0,7.0,774402.0,,,,,,,,,,,,,,,,,,,\n98,PyFlink,apache/flink,,ml-frameworks,https://github.com/apache/flink,https://github.com/apache/flink,Apache-2.0,2014-06-07 07:00:10.000000,2021-12-30 13:40:36.000000,2021-12-30 13:24:24.000000,9836,690.0,,17862.0,29259.0,Apache Flink Python API.,1428.0,30,True,2021-12-16 03:04:06.000000,1.14.2,27.0,apache-flink,,,,,0.0,,https://pypi.org/project/apache-flink,2021-12-16 03:04:06.000000,0.0,8425.0,8425.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n99,PyTorch Image Models,rwightman/pytorch-image-models,,image,https://github.com/rwightman/pytorch-image-models,https://github.com/rwightman/pytorch-image-models,Apache-2.0,2019-02-02 05:51:12.000000,2021-12-29 14:58:50.000000,2021-12-22 07:52:39.000000,2440,57.0,382.0,15431.0,1221.0,\"PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision..\",63.0,30,True,2021-10-04 00:02:48.000000,0.1-rsb-weights,27.0,,,,,['pytorch'],1671.0,1671.0,,,,,25889.0,,,,,,,,2.0,,802566.0,,,,,,,,,,,,,,,,,,,\n100,zipline,quantopian/zipline,,financial-data,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29.000000,2021-11-01 20:36:25.000000,2020-10-14 16:36:49.000000,4203,346.0,651.0,14743.0,6226.0,\"Zipline, a Pythonic Algorithmic Trading Library.\",153.0,30,False,2020-10-05 15:46:20.429000,1.4.1,30.0,zipline,,,,,959.0,801.0,https://pypi.org/project/zipline,2020-10-05 15:46:20.429000,158.0,4544.0,4544.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n101,EasyOCR,JaidedAI/EasyOCR,,ocr,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000000,2021-12-21 20:15:25.000000,2021-10-15 02:56:26.000000,1730,143.0,329.0,13460.0,474.0,\"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..\",90.0,30,True,2021-09-11 09:38:37.000000,1.4.1,25.0,easyocr,,,,,778.0,778.0,https://pypi.org/project/easyocr,2021-09-11 09:38:37.000000,0.0,125026.0,176725.0,,,,,,,,1.0,,930599.0,,,,,,,,,,,,,,,,,,,\n102,Jina,jina-ai/jina,,ml-frameworks,https://github.com/jina-ai/jina,https://github.com/jina-ai/jina,Apache-2.0,2020-02-13 17:04:44.000000,2021-12-30 14:05:40.000000,2021-12-29 23:07:30.000000,1741,90.0,1164.0,12998.0,6883.0,Cloud-native neural search framework for kind of data.,134.0,30,True,2021-12-22 08:39:34.000000,2.6.3,1533.0,jina,,jinaai/jina,,,205.0,205.0,https://pypi.org/project/jina,2021-12-28 14:09:54.000000,,10617.0,56083.0,,,,https://hub.docker.com/r/jinaai/jina,2021-12-28 14:40:56.785802,6.0,1000258.0,2.0,,,,,,,,,,,,,,,,,,,,,\n103,horovod,horovod/horovod,,distributed-ml,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000000,2021-12-30 06:37:04.000000,2021-12-27 06:06:46.000000,1935,266.0,1664.0,11974.0,1115.0,\"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.\",140.0,30,True,2021-10-06 18:03:55.000000,0.23.0,67.0,horovod,,,,,518.0,478.0,https://pypi.org/project/horovod,2021-10-06 18:03:55.000000,40.0,40528.0,40528.0,,,,,,,,2.0,,,stable/horovod,,,,,,,,,,,,,,,,,,\n104,Lime,marcotcr/lime,,interpretability,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10.000000,2021-10-19 11:55:10.000000,2021-07-29 23:17:25.000000,1495,22.0,525.0,9421.0,531.0,Lime: Explaining the predictions of any machine learning classifier.,61.0,30,True,2020-04-03 22:05:03.000000,0.2.0.0,38.0,lime,conda-forge/lime,,,,1954.0,1826.0,https://pypi.org/project/lime,2020-06-26 21:38:15.000000,128.0,1286164.0,1287653.0,https://anaconda.org/conda-forge/lime,2020-06-28 01:02:41.538000,89393.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n105,Annoy,spotify/annoy,,nn-search,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40.000000,2021-12-23 19:08:44.000000,2021-10-18 14:07:24.000000,952,39.0,298.0,9309.0,832.0,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,75.0,30,True,2020-09-18 16:07:59.000000,1.17.0,43.0,annoy,,,,,2240.0,1880.0,https://pypi.org/project/annoy,2020-09-18 16:07:59.000000,360.0,774492.0,774492.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n106,dgl,dmlc/dgl,,graph,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000000,2021-12-30 09:05:57.000000,2021-12-29 06:01:01.000000,1893,297.0,1010.0,8725.0,2051.0,\"Python package built to ease deep learning on graph, on top of existing DL frameworks.\",183.0,30,True,2021-11-08 04:09:08.000000,0.7.2,438.0,dgl,,,,,30.0,,https://pypi.org/project/dgl,2021-05-27 13:25:52.000000,30.0,69836.0,69836.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n107,Pydub,jiaaro/pydub,,audio,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38.000000,2021-12-28 02:38:36.000000,2021-06-08 14:06:40.000000,769,204.0,253.0,5811.0,742.0,Manipulate audio with a simple and easy high level interface.,90.0,30,True,2021-03-10 02:10:41.000000,0.25.1,68.0,pydub,conda-forge/pydub,,,,11376.0,10022.0,https://pypi.org/project/pydub,2021-03-10 02:09:53.000000,1354.0,840980.0,841535.0,https://anaconda.org/conda-forge/pydub,2021-03-13 05:16:50.142000,20004.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n108,Kornia,kornia/kornia,,image,https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000000,2021-12-29 22:23:46.000000,2021-12-29 16:49:08.000000,547,119.0,387.0,5660.0,1929.0,Open Source Differentiable Computer Vision Library.,144.0,30,True,2021-12-03 21:54:30.000000,0.6.2,26.0,kornia,,,,['pytorch'],871.0,871.0,https://pypi.org/project/kornia,2021-12-03 21:54:30.000000,0.0,193629.0,193633.0,,,,,,,,2.0,,173.0,,,,,,,,,,,,,,,,,,,\n109,sentencepiece,google/sentencepiece,,nlp,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000000,2021-12-21 12:01:28.000000,2021-07-02 15:44:09.000000,735,48.0,444.0,5565.0,697.0,Unsupervised text tokenizer for Neural Network-based text generation.,57.0,30,True,2021-06-18 09:34:31.000000,0.1.96,31.0,sentencepiece,conda-forge/sentencepiece,,,,12026.0,11786.0,https://pypi.org/project/sentencepiece,2021-06-18 09:34:31.000000,240.0,3201576.0,3209949.0,https://anaconda.org/conda-forge/sentencepiece,2021-11-05 06:32:08.219000,134418.0,,,,,2.0,,18710.0,,,,,,,,,,,,,,,,,,,\n110,GluonCV,dmlc/gluon-cv,,image,https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21.000000,2021-12-30 09:00:52.000000,2021-12-21 21:45:32.000000,1123,61.0,744.0,5022.0,888.0,Gluon CV Toolkit.,114.0,30,True,2021-07-25 02:48:59.000000,0.10.4,1258.0,gluoncv,,,,['mxnet'],669.0,639.0,https://pypi.org/project/gluoncv,2021-12-30 09:00:52.000000,30.0,518892.0,518892.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n111,PyCaret,pycaret/pycaret,,ml-experiments,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000000,2021-12-30 13:27:03.000000,2021-12-30 13:09:01.000000,1089,208.0,1041.0,4669.0,2063.0,\"An open-source, low-code machine learning library in Python.\",69.0,30,True,2021-11-19 19:07:34.000000,2.3.5,74.0,pycaret,,,,,1634.0,1634.0,https://pypi.org/project/pycaret,2021-11-19 19:07:34.000000,0.0,332370.0,332399.0,,,,,,,,2.0,,502.0,,,,,,,,,,,,,,,,,,,\n112,GeoPandas,geopandas/geopandas,,geospatial-data,https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000000,2021-12-30 14:05:22.000000,2021-12-30 13:27:26.000000,656,417.0,839.0,2927.0,,Python tools for geographic data.,156.0,30,True,2021-10-16 06:59:55.000000,0.10.2,40.0,geopandas,conda-forge/geopandas,,,['pandas'],12609.0,11443.0,https://pypi.org/project/geopandas,2021-10-16 06:59:50.000000,1166.0,1895273.0,1913587.0,https://anaconda.org/conda-forge/geopandas,2021-12-01 18:19:27.710000,1262339.0,,,,,2.0,-3.0,1332.0,,,,,,,,,,,,,,,,,,,\n113,AzureML SDK,Azure/MachineLearningNotebooks,,ml-experiments,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000000,2021-12-13 18:36:09.000000,2021-12-13 18:36:08.000000,1954,199.0,1013.0,2801.0,1164.0,Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft.,57.0,30,True,2021-11-08 15:39:29.000000,1.36.0,84.0,azureml-sdk,,,,,60.0,,https://pypi.org/project/azureml-sdk,2021-12-13 16:21:23.000000,60.0,1869992.0,1870003.0,,,,,,,,2.0,,426.0,,,,,,,,,,,,,,,,,,,\n114,mrjob,Yelp/mrjob,,data-pipelines,https://github.com/Yelp/mrjob,https://github.com/Yelp/mrjob,Apache-2.0,2010-10-13 18:35:21.000000,2021-11-08 11:23:32.000000,2020-11-16 22:20:52.000000,600,205.0,1093.0,2574.0,8622.0,Run MapReduce jobs on Hadoop or Amazon Web Services.,142.0,30,False,2020-09-17 22:26:01.000000,0.7.4,62.0,mrjob,conda-forge/mrjob,,,,1126.0,902.0,https://pypi.org/project/mrjob,2020-09-17 22:26:01.000000,224.0,104377.0,111088.0,https://anaconda.org/conda-forge/mrjob,2020-12-24 22:44:29.424000,422837.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n115,Keras Tuner,keras-team/keras-tuner,,hyperopt,https://github.com/keras-team/keras-tuner,https://github.com/keras-team/keras-tuner,Apache-2.0,2019-06-06 22:38:21.000000,2021-12-30 00:59:47.000000,2021-12-10 03:14:33.000000,310,166.0,197.0,2445.0,862.0,Hyperparameter tuning for humans.,41.0,30,True,2021-11-05 17:28:50.000000,1.1.0,11.0,keras-tuner,,,,['tensorflow'],1043.0,1039.0,https://pypi.org/project/keras-tuner,2021-11-05 17:28:50.000000,4.0,765792.0,765792.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n116,hmmlearn,hmmlearn/hmmlearn,,probabilistics,https://github.com/hmmlearn/hmmlearn,https://github.com/hmmlearn/hmmlearn,BSD-3-Clause,2014-03-23 10:33:09.000000,2021-12-21 12:29:33.000000,2021-12-21 12:28:59.000000,684,57.0,314.0,2396.0,396.0,\"Hidden Markov Models in Python, with scikit-learn like API.\",38.0,30,True,2021-07-18 14:01:41.000000,0.2.6,9.0,hmmlearn,conda-forge/hmmlearn,,,['sklearn'],1359.0,1153.0,https://pypi.org/project/hmmlearn,2021-07-18 14:01:41.000000,206.0,475378.0,478266.0,https://anaconda.org/conda-forge/hmmlearn,2021-11-13 15:23:53.699000,106879.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n117,xarray,pydata/xarray,,data-containers,https://github.com/pydata/xarray,https://github.com/pydata/xarray,Apache-2.0,2013-09-30 17:21:10.000000,2021-12-30 00:09:07.000000,2021-12-29 16:54:17.000000,754,935.0,2202.0,2363.0,,N-D labeled arrays and datasets in Python.,349.0,30,True,2021-12-10 02:09:26.000000,0.20.2,63.0,xarray,conda-forge/xarray,,,,9745.0,8613.0,https://pypi.org/project/xarray,2021-12-10 02:09:26.000000,1132.0,920836.0,984620.0,https://anaconda.org/conda-forge/xarray,2021-12-10 08:48:43.752000,4401105.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n118,scikit-optimize,scikit-optimize/scikit-optimize,,hyperopt,https://github.com/scikit-optimize/scikit-optimize,https://github.com/scikit-optimize/scikit-optimize,BSD-3-Clause,2016-03-20 21:10:54.000000,2021-12-15 05:01:56.230000,2021-10-12 13:32:38.000000,417,232.0,386.0,2266.0,1570.0,Sequential model-based optimization with a `scipy.optimize` interface.,75.0,30,True,2021-10-12 15:33:19.000000,0.9.0,23.0,scikit-optimize,conda-forge/scikit-optimize,,,,2402.0,2242.0,https://pypi.org/project/scikit-optimize,2021-10-12 14:21:32.000000,160.0,427734.0,437542.0,https://anaconda.org/conda-forge/scikit-optimize,2021-12-15 05:01:56.230000,519851.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n119,ImageHash,JohannesBuchner/imagehash,,image,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48.000000,2021-11-28 20:34:50.000000,2021-09-07 19:15:32.000000,281,13.0,92.0,2224.0,209.0,A Python Perceptual Image Hashing Module.,20.0,30,True,2021-07-15 12:35:01.000000,4.2.1,18.0,ImageHash,conda-forge/imagehash,,,,4512.0,3980.0,https://pypi.org/project/ImageHash,2021-07-15 12:35:01.000000,532.0,1115548.0,1118226.0,https://anaconda.org/conda-forge/imagehash,2021-07-15 15:00:27.543000,163383.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n120,category_encoders,scikit-learn-contrib/category_encoders,,sklearn-utils,https://github.com/scikit-learn-contrib/category_encoders,https://github.com/scikit-learn-contrib/category_encoders,BSD-3-Clause,2015-11-29 19:32:37.000000,2021-11-28 14:52:41.000000,2021-11-16 22:47:58.000000,336,78.0,161.0,1803.0,740.0,A library of sklearn compatible categorical variable encoders.,48.0,30,True,2021-10-13 15:40:27.000000,2.3.0-rerelease,19.0,category_encoders,conda-forge/category_encoders,,,['sklearn'],2856.0,2833.0,https://pypi.org/project/category_encoders,2018-10-14 14:15:54.000000,23.0,895881.0,897977.0,https://anaconda.org/conda-forge/category_encoders,2021-10-13 18:33:34.503000,136279.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n121,Lifelines,CamDavidsonPilon/lifelines,,medical-data,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42.000000,2021-12-01 02:47:32.482000,2021-11-30 19:30:36.000000,449,218.0,619.0,1771.0,2154.0,Survival analysis in Python.,98.0,30,True,2021-11-30 20:20:36.000000,0.26.4,160.0,lifelines,conda-forge/lifelines,,,,866.0,740.0,https://pypi.org/project/lifelines,2021-11-30 20:20:36.000000,126.0,305404.0,308093.0,https://anaconda.org/conda-forge/lifelines,2021-12-01 02:47:32.482000,177499.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n122,Geocoder,DenisCarriere/geocoder,,geospatial-data,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21.000000,2021-08-26 23:24:43.000000,2018-10-12 15:53:05.000000,267,99.0,217.0,1411.0,1251.0,Python Geocoder.,74.0,30,False,2018-04-04 12:34:51.000000,1.38.1,110.0,geocoder,conda-forge/geocoder,,,,5110.0,4266.0,https://pypi.org/project/geocoder,2018-04-04 12:34:51.000000,844.0,2096204.0,2097840.0,https://anaconda.org/conda-forge/geocoder,2019-06-27 16:40:50.469000,94943.0,,,,,2.0,,,,,,,,,,,,geocoder,,,,,,,,,\n123,PyTables,PyTables/PyTables,,data-containers,https://github.com/PyTables/PyTables,https://github.com/PyTables/PyTables,BSD-3-Clause,2011-06-03 19:44:46.000000,2021-12-29 14:56:45.000000,2021-12-29 14:55:36.000000,218,178.0,494.0,1089.0,4044.0,A Python package to manage extremely large amounts of data.,103.0,30,True,2021-12-28 21:59:09.000000,3.7.0,35.0,tables,conda-forge/pytables,,,,3754.0,,https://pypi.org/project/tables,2021-12-28 21:42:08.000000,3754.0,696653.0,753189.0,https://anaconda.org/conda-forge/pytables,2021-11-29 19:12:08.113000,3618220.0,,,,,2.0,,163.0,,,,,,,,,,,,,,,,,,,\n124,Fiona,Toblerity/Fiona,,geospatial-data,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00.000000,2021-12-28 21:19:32.000000,2021-12-28 21:19:32.000000,175,80.0,572.0,875.0,1275.0,Fiona reads and writes geographic data files.,65.0,30,True,2021-05-31 23:04:33.000000,1.8.20,98.0,fiona,conda-forge/fiona,,,,8607.0,7419.0,https://pypi.org/project/fiona,2021-05-31 23:04:33.000000,1188.0,2164308.0,2199578.0,https://anaconda.org/conda-forge/fiona,2021-12-01 17:00:06.524000,2433657.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n125,Bottleneck,pydata/bottleneck,,data-containers,https://github.com/pydata/bottleneck,https://github.com/pydata/bottleneck,BSD-2-Clause,2010-11-27 23:21:22.000000,2021-11-04 11:55:30.352000,2021-01-24 18:39:03.000000,74,37.0,179.0,689.0,1241.0,Fast NumPy array functions written in C.,21.0,30,True,2020-02-21 06:22:16.000000,1.3.2,21.0,Bottleneck,conda-forge/bottleneck,,,,32123.0,29231.0,https://pypi.org/project/Bottleneck,2020-02-21 06:22:16.000000,2892.0,505840.0,532835.0,https://anaconda.org/conda-forge/bottleneck,2021-11-04 11:55:30.352000,1808700.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n126,NIPYPE,nipy/nipype,,medical-data,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000000,2021-12-23 08:27:38.000000,2021-12-15 21:43:27.000000,475,359.0,896.0,605.0,14314.0,Workflows and interfaces for neuroimaging packages.,227.0,30,True,2021-10-20 17:40:54.000000,1.7.0,56.0,nipype,conda-forge/nipype,,,,1008.0,816.0,https://pypi.org/project/nipype,2021-10-20 15:33:29.000000,192.0,29040.0,36060.0,https://anaconda.org/conda-forge/nipype,2021-10-20 17:02:23.801000,456320.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n127,snowballstemmer,snowballstem/snowball,,nlp,https://github.com/snowballstem/snowball,https://github.com/snowballstem/snowball,BSD-3-Clause,2013-02-23 07:17:42.000000,2021-12-23 22:15:11.000000,2021-12-17 04:08:52.000000,148,25.0,44.0,537.0,919.0,Snowball compiler and stemming algorithms.,28.0,30,True,2021-11-16 18:38:34.000000,2.2.0,10.0,snowballstemmer,conda-forge/snowballstemmer,,,,13186.0,4.0,https://pypi.org/project/snowballstemmer,2021-11-16 18:38:34.000000,13182.0,5348803.0,5404804.0,https://anaconda.org/conda-forge/snowballstemmer,2021-11-17 09:59:16.947000,3584082.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n128,Face Recognition,ageitgey/face_recognition,,image,https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39.000000,2021-12-04 17:06:24.000000,2021-06-14 10:10:40.000000,11744,658.0,552.0,42671.0,219.0,The world's simplest facial recognition api for Python and the command line.,47.0,29,True,2018-08-21 18:34:21.000000,1.2.3,21.0,face_recognition,,,,['pytorch'],406.0,,https://pypi.org/project/face_recognition,2018-08-21 18:34:21.000000,406.0,49491.0,49499.0,,,,,,,,2.0,,452.0,,,,,,,,,,,,,,,,,,,\n129,Streamlit,streamlit/streamlit,,others,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000000,2021-12-30 13:52:24.000000,2021-12-29 18:31:23.000000,1523,553.0,1655.0,17070.0,,Streamlit The fastest way to build data apps in Python.,133.0,29,True,2021-12-28 16:53:17.000000,1.3.1,146.0,streamlit,,,,,227.0,193.0,https://pypi.org/project/streamlit,2021-12-28 16:53:17.000000,34.0,628262.0,628262.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n130,PyTorch Geometric,rusty1s/pytorch_geometric,,graph,https://github.com/pyg-team/pytorch_geometric,https://github.com/pyg-team/pytorch_geometric,MIT,2017-10-06 16:03:03.000000,2021-12-30 13:48:36.000000,2021-12-29 14:58:48.000000,2326,860.0,1472.0,13444.0,5248.0,Graph Neural Network Library for PyTorch.,230.0,29,True,2021-12-22 06:52:13.000000,2.0.3,32.0,torch-geometric,,,,['pytorch'],24.0,,https://pypi.org/project/torch-geometric,2021-12-22 06:52:13.000000,24.0,46611.0,46611.0,,,,,,,,1.0,,,,,,,,,,,pyg-team/pytorch_geometric,,,,,,,,,,\n131,InsightFace,deepinsight/insightface,,image,https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,MIT,2017-09-01 00:36:51.000000,2021-12-27 02:47:46.000000,2021-12-27 02:47:45.000000,3517,964.0,816.0,10961.0,1918.0,State-of-the-art 2D and 3D Face Analysis Project.,32.0,29,True,2021-08-31 06:20:24.000000,0.4.2,21.0,insightface,,,,['mxnet'],126.0,124.0,https://pypi.org/project/insightface,2021-09-21 02:50:54.000000,2.0,26850.0,26850.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n132,Dopamine,google/dopamine,,reinforcement-learning,https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36.000000,2021-12-14 17:59:05.000000,2021-12-14 17:59:04.000000,1301,80.0,82.0,9696.0,282.0,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,14.0,29,True,2021-12-13 23:17:39.000000,4.0.2,42.0,dopamine-rl,,,,['tensorflow'],62.0,,https://pypi.org/project/dopamine-rl,2021-12-13 23:17:39.000000,62.0,1853131.0,1853131.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n133,TFlearn,tflearn/tflearn,,ml-frameworks,https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,MIT,2016-03-31 12:05:53.000000,2021-01-25 09:41:59.000000,2020-11-30 04:34:51.000000,2429,563.0,362.0,9575.0,613.0,Deep learning library featuring a higher-level API for TensorFlow.,128.0,29,False,2020-11-11 19:26:11.000000,0.5.0,8.0,tflearn,,,,['tensorflow'],4636.0,3674.0,https://pypi.org/project/tflearn,2020-11-11 19:13:47.000000,962.0,12139.0,12139.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n134,AutoKeras,keras-team/autokeras,,hyperopt,https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20.000000,2021-12-23 15:56:45.000000,2021-12-22 21:24:41.000000,1327,63.0,727.0,8287.0,1275.0,AutoML library for deep learning.,130.0,29,True,2021-11-02 00:16:03.000000,1.0.16.post1,53.0,autokeras,,,,['tensorflow'],276.0,262.0,https://pypi.org/project/autokeras,2021-11-02 00:27:01.000000,14.0,39840.0,39879.0,,,,,,,,1.0,,1944.0,,,,,,,,,,,,,,,,,,,\n135,Vowpal Wabbit,VowpalWabbit/vowpal_wabbit,,ml-frameworks,https://github.com/VowpalWabbit/vowpal_wabbit,https://github.com/VowpalWabbit/vowpal_wabbit,BSD-3-Clause,2009-07-31 19:36:58.000000,2021-12-30 13:34:46.000000,2021-12-30 13:32:31.000000,1758,180.0,977.0,7826.0,9556.0,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,310.0,29,True,2021-07-14 18:02:58.000000,8.11.0,18.0,vowpalwabbit,,,,,16.0,,https://pypi.org/project/vowpalwabbit,2021-07-14 18:02:58.000000,16.0,52025.0,52025.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n136,Pyro,pyro-ppl/pyro,,probabilistics,https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000000,2021-12-28 23:33:02.000000,2021-12-28 23:32:56.000000,881,184.0,739.0,7243.0,2298.0,Deep universal probabilistic programming with Python and PyTorch.,116.0,29,True,2021-12-14 16:17:56.000000,1.8.0,28.0,pyro-ppl,,,,['pytorch'],632.0,596.0,https://pypi.org/project/pyro-ppl,2021-12-14 16:19:58.000000,36.0,70878.0,70878.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n137,Modin,modin-project/modin,,data-containers,https://github.com/modin-project/modin,https://github.com/modin-project/modin,Apache-2.0,2018-06-21 21:35:05.000000,2021-12-30 08:27:45.000000,2021-12-24 11:54:42.000000,469,676.0,1583.0,6660.0,1652.0,Modin: Speed up your Pandas workflows by changing a single line of code.,87.0,29,True,2021-12-19 03:40:24.000000,0.12.1,47.0,modin,,,,['pandas'],542.0,524.0,https://pypi.org/project/modin,2021-12-19 03:40:24.000000,18.0,176153.0,180928.0,,,,,,,,2.0,,195810.0,,,,,,,,,,,,,,,,,,,\n138,PyMC3,pymc-devs/pymc3,,probabilistics,https://github.com/pymc-devs/pymc,https://github.com/pymc-devs/pymc,Apache-2.0,2009-05-05 09:43:50.000000,2021-12-30 12:44:21.000000,2021-12-27 14:15:43.000000,1491,193.0,2276.0,6234.0,,Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara.,351.0,29,True,2021-08-24 01:17:21.000000,3.11.4,35.0,pymc3,conda-forge/pymc3,,,,856.0,570.0,https://pypi.org/project/pymc3,2021-08-24 01:17:21.000000,286.0,257564.0,263489.0,https://anaconda.org/conda-forge/pymc3,2021-10-12 16:32:39.553000,366459.0,,,,,1.0,,1308.0,,,,,,,,,pymc-devs/pymc,,,,,,,,,,\n139,yfinance,ranaroussi/yfinance,,financial-data,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000000,2021-12-30 13:41:18.000000,2021-11-21 10:41:35.000000,1421,384.0,322.0,6209.0,,Download market data from Yahoo! Finance's API.,49.0,29,True,2021-11-20 20:56:26.000000,0.1.67,32.0,yfinance,ranaroussi/yfinance,,,,8655.0,8629.0,https://pypi.org/project/yfinance,2021-11-20 20:56:26.000000,26.0,289213.0,293638.0,https://anaconda.org/ranaroussi/yfinance,2021-07-10 20:29:09.532000,22127.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n140,tensorpack,tensorpack/tensorpack,,ml-frameworks,https://github.com/tensorpack/tensorpack,https://github.com/tensorpack/tensorpack,Apache-2.0,2015-12-25 23:08:44.000000,2021-11-27 04:08:51.000000,2021-11-27 04:08:51.000000,1808,13.0,1330.0,6142.0,2937.0,\"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.\",58.0,29,True,2020-04-24 19:01:06.000000,0.10.1,37.0,tensorpack,,,,['tensorflow'],995.0,919.0,https://pypi.org/project/tensorpack,2021-01-22 08:44:03.000000,76.0,24839.0,24841.0,,,,,,,,2.0,,128.0,,,,,,,,,,,,,,,,,,,\n141,SpeechRecognition,Uberi/speech_recognition,,audio,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54.000000,2021-12-14 05:54:09.000000,2021-12-14 05:54:08.000000,1995,234.0,279.0,6009.0,361.0,\"Speech recognition module for Python, supporting several engines and APIs, online and offline.\",41.0,29,True,2017-12-05 14:05:14.000000,3.8.1,52.0,SpeechRecognition,conda-forge/speechrecognition,,,,1088.0,,https://pypi.org/project/SpeechRecognition,2017-12-05 13:58:29.000000,1088.0,250049.0,252106.0,https://anaconda.org/conda-forge/speechrecognition,2021-12-13 09:59:53.408000,131658.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n142,faust,robinhood/faust,,data-pipelines,https://github.com/robinhood/faust,https://github.com/robinhood/faust,BSD-3-Clause,2017-03-08 18:36:11.000000,2021-12-28 13:12:14.000000,2020-10-09 12:59:42.000000,494,249.0,236.0,5918.0,4137.0,Python Stream Processing.,93.0,29,False,2020-02-25 22:57:18.000000,1.10.4,46.0,faust,,,,,934.0,906.0,https://pypi.org/project/faust,2020-02-25 22:57:18.000000,28.0,292920.0,292920.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n143,Datasette,simonw/datasette,,others,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000000,2021-12-28 18:26:51.000000,2021-12-23 19:18:20.000000,383,334.0,895.0,5673.0,1867.0,An open source multi-tool for exploring and publishing data.,60.0,29,True,2021-11-30 06:57:58.000000,0.59.4,111.0,datasette,,,,,639.0,569.0,https://pypi.org/project/datasette,2021-12-19 22:18:10.000000,70.0,136493.0,136493.0,,,,,,,,1.0,,34.0,,,,,,,,datasette,,,,,,,,,,,\n144,Bayesian Optimization,fmfn/BayesianOptimization,,hyperopt,https://github.com/fmfn/BayesianOptimization,https://github.com/fmfn/BayesianOptimization,MIT,2014-06-06 08:18:56.000000,2021-11-25 04:39:23.000000,2020-12-19 01:11:23.000000,1197,45.0,172.0,5652.0,199.0,A Python implementation of global optimization with gaussian processes.,27.0,29,True,2020-05-16 16:03:51.000000,1.2.0,8.0,bayesian-optimization,,,,,1090.0,998.0,https://pypi.org/project/bayesian-optimization,2020-05-16 15:56:09.000000,92.0,138092.0,138093.0,,,,,,,,1.0,,71.0,,,,,,,,,,,,,,,,,,,\n145,Autograd,HIPS/autograd,,others,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23.000000,2021-04-22 18:19:00.000000,2021-03-03 09:27:58.000000,782,163.0,219.0,5590.0,1376.0,Efficiently computes derivatives of numpy code.,51.0,29,True,2017-08-24 17:00:41.000000,1.1.13,24.0,autograd,conda-forge/autograd,,,,3147.0,2803.0,https://pypi.org/project/autograd,2019-07-25 16:21:07.000000,344.0,1143586.0,1146652.0,https://anaconda.org/conda-forge/autograd,2019-07-25 18:29:55.493000,196249.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n146,folium,python-visualization/folium,,geospatial-data,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000000,2021-12-29 19:31:42.000000,2021-12-29 19:31:42.000000,2028,204.0,713.0,5559.0,,Python Data. Leaflet.js Maps.,126.0,29,True,2021-11-19 21:01:43.000000,0.12.1.post1,26.0,folium,conda-forge/folium,,,,14469.0,13501.0,https://pypi.org/project/folium,2021-11-19 21:08:10.000000,968.0,689996.0,697100.0,https://anaconda.org/conda-forge/folium,2021-12-03 19:47:05.533000,490211.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n147,Tokenizers,huggingface/tokenizers,,nlp,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000000,2021-12-30 10:10:19.000000,2021-12-28 12:59:31.000000,422,156.0,393.0,5114.0,1504.0,Fast State-of-the-Art Tokenizers optimized for Research and Production.,48.0,29,True,2021-12-28 13:17:49.000000,0.11.1,64.0,tokenizers,conda-forge/tokenizers,,,,40.0,40.0,https://pypi.org/project/tokenizers,2021-12-28 13:17:49.000000,0.0,3645911.0,3652195.0,https://anaconda.org/conda-forge/tokenizers,2021-12-29 01:55:02.771000,106830.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n148,TinyDB,msiemens/tinydb,,data-containers,https://github.com/msiemens/tinydb,https://github.com/msiemens/tinydb,MIT,2013-07-12 23:31:13.000000,2021-12-20 07:47:12.000000,2021-12-20 07:47:12.000000,418,9.0,266.0,4731.0,639.0,TinyDB is a lightweight document oriented database optimized for your happiness :).,71.0,29,True,2021-09-23 18:07:35.000000,4.5.2,63.0,tinydb,conda-forge/tinydb,,,,1118.0,,https://pypi.org/project/tinydb,2021-09-23 18:07:32.000000,1118.0,288122.0,290432.0,https://anaconda.org/conda-forge/tinydb,2021-09-23 23:38:10.536000,152496.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n149,Gradio,gradio-app/gradio,,others,https://github.com/gradio-app/gradio,https://github.com/gradio-app/gradio,Apache-2.0,2018-12-19 08:24:04.000000,2021-12-30 11:12:25.000000,2021-12-30 11:12:09.000000,289,38.0,212.0,4626.0,2883.0,\"Wrap UIs around any model, share with anyone.\",40.0,29,True,2021-12-30 11:12:05.000000,2.6.4,178.0,gradio,,,,,466.0,464.0,https://pypi.org/project/gradio,2021-12-30 11:12:05.000000,2.0,74758.0,74758.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n150,einops,arogozhnikov/einops,,ml-frameworks,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08.000000,2021-12-26 17:23:12.000000,2021-12-14 06:14:18.000000,162,30.0,59.0,4072.0,382.0,\"Deep learning operations reinvented (for pytorch, tensorflow, jax and others).\",13.0,29,True,2021-08-31 22:49:08.000000,0.3.2,5.0,einops,conda-forge/einops,,,,1693.0,1683.0,https://pypi.org/project/einops,2021-08-31 21:29:29.000000,10.0,477296.0,477645.0,https://anaconda.org/conda-forge/einops,2021-08-31 23:13:47.214000,9434.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n151,Tesseract,madmaze/pytesseract,,ocr,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000000,2021-12-27 19:04:44.000000,2021-12-08 07:47:40.000000,555,10.0,274.0,3942.0,436.0,Python-tesseract is an optical character recognition (OCR) tool for python.,38.0,29,True,2021-06-28 23:00:22.000000,0.3.8,25.0,pytesseract,conda-forge/pytesseract,,,,1428.0,,https://pypi.org/project/pytesseract,2021-06-28 23:00:22.000000,1428.0,661701.0,678259.0,https://anaconda.org/conda-forge/pytesseract,2021-06-05 17:42:22.118000,480197.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n152,Ignite,pytorch/ignite,,ml-frameworks,https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000000,2021-12-30 00:12:57.000000,2021-12-29 13:42:34.000000,509,136.0,849.0,3806.0,1309.0,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,160.0,29,True,2021-10-13 09:11:37.000000,0.4.7,766.0,pytorch-ignite,pytorch/ignite,,,['pytorch'],62.0,,https://pypi.org/project/pytorch-ignite,2021-12-30 00:12:57.000000,62.0,65207.0,67021.0,https://anaconda.org/pytorch/ignite,2021-10-19 15:47:07.847000,76225.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n153,wandb client,wandb/client,,ml-experiments,https://github.com/wandb/client,https://github.com/wandb/client,MIT,2017-03-24 05:46:23.000000,2021-12-30 04:48:48.000000,2021-12-17 01:49:29.000000,282,370.0,1226.0,3599.0,4347.0,A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.,98.0,29,True,2021-12-17 00:59:09.000000,0.12.9,216.0,wandb,,,,,78.0,,https://pypi.org/project/wandb,2021-12-17 00:58:05.000000,78.0,526533.0,526533.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n154,Koalas,databricks/koalas,,data-containers,https://github.com/databricks/koalas,https://github.com/databricks/koalas,Apache-2.0,2019-01-03 21:46:54.000000,2021-10-26 06:53:37.000000,2021-10-21 22:12:35.000000,322,94.0,483.0,3047.0,1547.0,Koalas: pandas API on Apache Spark.,51.0,29,True,2021-10-19 22:26:46.000000,1.8.2,47.0,koalas,conda-forge/koalas,,,\"['spark', 'pandas']\",167.0,165.0,https://pypi.org/project/koalas,2021-10-19 22:26:05.000000,2.0,2078697.0,2082274.0,https://anaconda.org/conda-forge/koalas,2021-10-20 00:43:43.868000,109960.0,,,,,2.0,,998.0,,,,,,,,,,,,,,,,,,,\n155,missingno,ResidentMario/missingno,,data-viz,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50.000000,2021-07-04 16:12:30.000000,2021-07-04 16:09:34.000000,385,11.0,102.0,3025.0,180.0,Missing data visualization module for Python.,17.0,29,True,2021-07-04 16:12:30.000000,0.5.0,24.0,missingno,conda-forge/missingno,,,,5983.0,5831.0,https://pypi.org/project/missingno,2021-07-04 16:12:30.000000,152.0,680277.0,682909.0,https://anaconda.org/conda-forge/missingno,2020-02-15 10:07:41.253000,139500.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n156,datashader,holoviz/datashader,,data-viz,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000000,2021-12-25 17:43:23.000000,2021-12-25 17:20:24.000000,328,127.0,354.0,2675.0,1300.0,Quickly and accurately render even the largest data.,45.0,29,True,2021-06-09 23:30:20.000000,0.13.0,24.0,datashader,conda-forge/datashader,,,,988.0,918.0,https://pypi.org/project/datashader,2021-06-09 22:59:52.000000,70.0,57486.0,62610.0,https://anaconda.org/conda-forge/datashader,2021-06-10 09:04:19.929000,251076.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n157,GPyTorch,cornellius-gp/gpytorch,,probabilistics,https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000000,2021-12-27 15:32:43.000000,2021-12-21 00:57:25.000000,392,249.0,787.0,2639.0,3538.0,A highly efficient and modular implementation of Gaussian Processes in PyTorch.,90.0,29,True,2021-12-04 15:50:17.000000,1.6.0,31.0,gpytorch,,,,['pytorch'],463.0,455.0,https://pypi.org/project/gpytorch,2021-12-04 15:50:17.000000,8.0,128843.0,128843.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n158,Cufflinks,santosjorge/cufflinks,,data-viz,https://github.com/santosjorge/cufflinks,https://github.com/santosjorge/cufflinks,MIT,2014-11-19 20:59:33.000000,2021-12-15 15:49:58.297000,2021-02-25 05:05:09.000000,585,92.0,123.0,2430.0,452.0,Productivity Tools for Plotly + Pandas.,38.0,29,True,2020-03-01 17:42:01.000000,0.17.3,28.0,cufflinks,,,,['pandas'],5155.0,4921.0,https://pypi.org/project/cufflinks,2021-12-15 15:49:58.297000,234.0,248169.0,248169.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n159,TF-Agents,tensorflow/agents,,reinforcement-learning,https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000000,2021-12-29 18:14:25.000000,2021-12-29 18:13:55.000000,586,105.0,415.0,2142.0,1988.0,\"TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.\",115.0,29,True,2021-11-15 17:59:06.000000,0.11.0,29.0,tf-agents,,,,['tensorflow'],668.0,656.0,https://pypi.org/project/tf-agents,2021-11-15 17:59:06.000000,12.0,86088.0,86088.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n160,HoloViews,holoviz/holoviews,,data-viz,https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000000,2021-12-21 14:14:34.000000,2021-12-18 20:04:58.000000,339,812.0,1911.0,2069.0,10270.0,\"With Holoviews, your data visualizes itself.\",116.0,29,True,2021-12-16 15:54:33.000000,1.14.7,75.0,holoviews,conda-forge/holoviews,,,['jupyter'],170.0,,https://pypi.org/project/holoviews,2021-12-16 11:46:55.000000,170.0,234320.0,245916.0,https://anaconda.org/conda-forge/holoviews,2021-09-17 16:26:42.464000,621105.0,,,,,2.0,,,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,2020-05-24 13:49:54.205000,,2326.0,,,,,,,,,,,,,\n161,filterpy,rlabbe/filterpy,,probabilistics,https://github.com/rlabbe/filterpy,https://github.com/rlabbe/filterpy,MIT,2014-07-15 02:15:19.000000,2021-12-27 15:31:49.000000,2021-05-04 18:33:52.000000,475,47.0,154.0,2060.0,542.0,\"Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman..\",36.0,29,True,2018-10-10 22:38:24.000000,1.4.5,49.0,filterpy,conda-forge/filterpy,,,,1375.0,1163.0,https://pypi.org/project/filterpy,2018-10-10 22:38:24.000000,212.0,637065.0,638371.0,https://anaconda.org/conda-forge/filterpy,2020-05-05 21:13:59.073000,70546.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n162,pyLDAvis,bmabey/pyLDAvis,,interpretability,https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03.000000,2021-11-22 20:42:31.000000,2021-03-24 13:03:31.000000,320,86.0,77.0,1555.0,240.0,Python library for interactive topic model visualization. Port of the R LDAvis package.,32.0,29,True,2021-03-24 13:05:21.000000,3.3.1,24.0,pyldavis,conda-forge/pyldavis,,,['jupyter'],3132.0,2934.0,https://pypi.org/project/pyldavis,2021-03-24 12:57:08.000000,198.0,523197.0,523976.0,https://anaconda.org/conda-forge/pyldavis,2021-03-24 15:17:07.309000,32734.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n163,ipyleaflet,jupyter-widgets/ipyleaflet,,geospatial-data,https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10.000000,2021-12-22 09:30:54.000000,2021-12-22 09:30:53.000000,316,181.0,285.0,1203.0,986.0,A Jupyter - Leaflet.js bridge.,73.0,29,True,2021-12-06 12:34:17.000000,0.15.0,72.0,ipyleaflet,conda-forge/ipyleaflet,,,['jupyter'],1439.0,1339.0,https://pypi.org/project/ipyleaflet,2021-12-06 12:34:17.000000,98.0,52558.0,107106.0,https://anaconda.org/conda-forge/ipyleaflet,2021-12-09 18:45:12.043000,782944.0,,,,,2.0,,,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2021-12-06 12:32:39.669000,2.0,42863.0,,,,,,,,,,,,,\n164,TF Model Optimization,tensorflow/model-optimization,,tensorflow-utils,https://github.com/tensorflow/model-optimization,https://github.com/tensorflow/model-optimization,Apache-2.0,2018-10-31 20:34:28.000000,2021-12-29 09:55:36.000000,2021-12-22 01:35:00.000000,254,135.0,145.0,1173.0,695.0,\"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.\",64.0,29,True,2021-09-30 10:12:08.000000,0.7.0,24.0,tensorflow-model-optimization,,,,['tensorflow'],1414.0,1408.0,https://pypi.org/project/tensorflow-model-optimization,2021-09-30 10:05:24.000000,6.0,159556.0,159556.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n165,agate,wireservice/agate,,others,https://github.com/wireservice/agate,https://github.com/wireservice/agate,MIT,2014-04-25 13:59:09.000000,2021-12-15 16:39:08.973000,2021-07-15 17:22:49.000000,133,54.0,630.0,1075.0,1466.0,A Python data analysis library that is optimized for humans instead of machines.,49.0,29,True,2021-07-15 16:32:29.000000,1.6.3,26.0,agate,conda-forge/agate,,,,946.0,704.0,https://pypi.org/project/agate,2021-07-15 16:32:29.000000,242.0,719967.0,721256.0,https://anaconda.org/conda-forge/agate,2021-07-16 07:46:42.405000,74805.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n166,Keras-Preprocessing,keras-team/keras-preprocessing,,tensorflow-utils,https://github.com/keras-team/keras-preprocessing,https://github.com/keras-team/keras-preprocessing,MIT,2018-05-30 22:43:36.000000,2021-11-30 15:10:46.000000,2021-02-04 19:43:30.000000,430,93.0,100.0,1003.0,284.0,\"Utilities for working with image data, text data, and sequence data.\",50.0,29,True,2020-05-14 03:53:47.000000,1.1.2,12.0,keras-preprocessing,conda-forge/keras-preprocessing,,,['tensorflow'],2736.0,,https://pypi.org/project/keras-preprocessing,2020-05-14 03:53:47.000000,2736.0,9007562.0,9035444.0,https://anaconda.org/conda-forge/keras-preprocessing,2021-01-15 12:28:58.923000,1171066.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n167,TensorFlow Transform,tensorflow/transform,,tensorflow-utils,https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53.000000,2021-12-20 17:46:02.000000,2021-12-20 17:46:00.000000,177,20.0,151.0,897.0,731.0,Input pipeline framework.,27.0,29,True,2021-12-02 21:13:55.000000,1.5.0,44.0,tensorflow-transform,,,,['tensorflow'],734.0,650.0,https://pypi.org/project/tensorflow-transform,2021-12-02 21:13:55.000000,84.0,8127539.0,8127539.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n168,TensorFlow Text,tensorflow/text,,nlp,https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000000,2021-12-29 19:53:27.000000,2021-12-21 05:28:53.000000,169,58.0,118.0,867.0,581.0,Making text a first-class citizen in TensorFlow.,66.0,29,True,2021-11-19 12:59:24.000000,2.7.3,42.0,tensorflow-text,,,,['tensorflow'],1290.0,1286.0,https://pypi.org/project/tensorflow-text,2021-11-19 12:46:51.000000,4.0,1591138.0,1591138.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n169,patsy,pydata/patsy,,probabilistics,https://github.com/pydata/patsy,https://github.com/pydata/patsy,BSD-2-Clause,2012-07-10 12:30:06.000000,2021-09-26 16:29:44.000000,2021-09-26 16:29:39.000000,94,73.0,68.0,807.0,539.0,Describing statistical models in Python using symbolic formulas.,16.0,29,True,2021-09-27 02:10:26.000000,0.5.2,9.0,patsy,conda-forge/patsy,,,,50103.0,45179.0,https://pypi.org/project/patsy,2021-09-26 05:26:37.000000,4924.0,4511035.0,4574090.0,https://anaconda.org/conda-forge/patsy,2021-09-26 14:43:31.594000,4035544.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n170,pyproj,pyproj4/pyproj,,geospatial-data,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000000,2021-12-06 16:22:25.000000,2021-12-06 16:20:24.000000,167,7.0,450.0,694.0,,Python interface to PROJ (cartographic projections and coordinate transformations library).,44.0,29,True,2021-11-18 01:52:35.000000,3.3.0,44.0,pyproj,conda-forge/pyproj,,,,14830.0,12368.0,https://pypi.org/project/pyproj,2021-11-18 01:52:35.000000,2462.0,3726497.0,3765150.0,https://anaconda.org/conda-forge/pyproj,2021-11-18 03:35:21.354000,2783029.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n171,NiBabel,nipy/nibabel,,medical-data,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30.000000,2021-11-19 13:45:46.000000,2021-09-30 22:21:56.000000,223,128.0,309.0,454.0,5065.0,Python package to access a cacophony of neuro-imaging file formats.,93.0,29,True,2020-11-28 22:19:50.000000,3.2.1,32.0,nibabel,conda-forge/nibabel,,,,7259.0,5995.0,https://pypi.org/project/nibabel,2020-11-28 22:18:23.000000,1264.0,143064.0,149078.0,https://anaconda.org/conda-forge/nibabel,2020-11-29 03:40:05.178000,402997.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n172,Cython BLIS,explosion/cython-blis,,others,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16.000000,2021-12-13 14:15:12.000000,2021-11-17 12:08:58.000000,30,6.0,23.0,182.0,532.0,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,10.0,29,False,2021-10-27 09:16:31.000000,0.7.5,36.0,blis,conda-forge/cython-blis,,,,15340.0,14950.0,https://pypi.org/project/blis,2021-10-22 08:50:51.000000,390.0,5486293.0,5521632.0,https://anaconda.org/conda-forge/cython-blis,2021-11-04 20:09:22.632000,1166192.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n173,Rasa,RasaHQ/rasa,,nlp,https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49.000000,2021-12-30 14:05:08.000000,2021-12-29 13:00:37.000000,3845,971.0,5479.0,13292.0,,\"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..\",519.0,28,True,2021-12-28 14:24:01.000000,2.8.19,236.0,rasa,,,,['tensorflow'],64.0,,https://pypi.org/project/rasa,2021-12-23 16:13:38.000000,64.0,223500.0,223500.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n174,NNI,microsoft/nni,,hyperopt,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44.000000,2021-12-30 10:40:43.000000,2021-12-29 05:18:51.000000,1472,235.0,1228.0,10755.0,2444.0,\"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..\",154.0,28,True,2021-11-04 00:55:22.000000,2.5,44.0,nni,,,,,180.0,164.0,https://pypi.org/project/nni,2021-11-04 00:40:20.000000,16.0,7897.0,7897.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n175,Milvus,milvus-io/milvus,,nn-search,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000000,2021-12-30 14:08:09.000000,2021-12-30 14:08:09.000000,1356,237.0,4032.0,9103.0,13572.0,An open-source vector database for embedding similarity search and AI applications.,180.0,28,True,2021-06-09 09:16:17.000000,1.1.2,100.0,pymilvus,,milvusdb/milvus,,,6.0,,https://pypi.org/project/pymilvus,2021-11-01 10:54:41.000000,6.0,18421.0,45540.0,,,,https://hub.docker.com/r/milvusdb/milvus,2021-11-26 07:36:40.300171,17.0,684489.0,1.0,,5304.0,,,,,,,,,,,,,,,,,,,\n176,TPOT,EpistasisLab/tpot,,hyperopt,https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40.000000,2021-07-01 15:13:10.000000,2021-01-06 15:17:46.000000,1420,231.0,602.0,8392.0,2368.0,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,108.0,28,False,2021-01-06 15:20:08.000000,0.11.7,60.0,tpot,conda-forge/tpot,,,['sklearn'],1320.0,1240.0,https://pypi.org/project/tpot,2021-01-06 15:20:08.000000,80.0,24110.0,26313.0,https://anaconda.org/conda-forge/tpot,2021-03-05 04:04:38.005000,138811.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n177,pretrainedmodels,Cadene/pretrained-models.pytorch,,pytorch-utils,https://github.com/Cadene/pretrained-models.pytorch,https://github.com/Cadene/pretrained-models.pytorch,BSD-3-Clause,2017-04-09 15:54:23.000000,2021-07-29 10:41:37.000000,2020-04-16 08:02:22.000000,1755,92.0,91.0,8338.0,154.0,\"Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.\",22.0,28,False,2018-10-29 08:18:45.000000,0.7.4,16.0,pretrainedmodels,,,,['pytorch'],1448.0,1344.0,https://pypi.org/project/pretrainedmodels,2018-10-29 08:18:45.000000,104.0,57696.0,57696.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n178,auto-sklearn,automl/auto-sklearn,,hyperopt,https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10.000000,2021-12-26 01:08:47.000000,2021-12-24 22:24:39.000000,1086,120.0,716.0,5932.0,2583.0,Automated Machine Learning with scikit-learn.,77.0,28,True,2021-12-25 18:29:44.000000,0.14.3,36.0,auto-sklearn,,,,['sklearn'],274.0,244.0,https://pypi.org/project/auto-sklearn,2021-11-10 09:01:03.000000,30.0,30300.0,30300.0,,,,,,,,2.0,,1.0,,,,,,,,,,,,,,,,,,,\n179,featuretools,alteryx/featuretools,,hyperopt,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17.000000,2021-12-29 22:06:43.000000,2021-12-29 16:37:05.000000,769,151.0,554.0,5901.0,,An open source python library for automated feature engineering.,57.0,28,True,2021-12-02 23:04:15.000000,1.3.0,96.0,featuretools,conda-forge/featuretools,,,,972.0,902.0,https://pypi.org/project/featuretools,2021-12-02 23:04:15.000000,70.0,1125448.0,1127529.0,https://anaconda.org/conda-forge/featuretools,2021-12-03 15:45:58.881000,74923.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n180,DeepPavlov,deepmipt/DeepPavlov,,nlp,https://github.com/deepmipt/DeepPavlov,https://github.com/deepmipt/DeepPavlov,Apache-2.0,2017-11-17 14:35:29.000000,2021-12-30 06:33:03.000000,2021-12-16 19:43:39.000000,988,116.0,498.0,5535.0,2611.0,An open source library for deep learning end-to-end dialog systems and chatbots.,67.0,28,True,2021-12-16 19:47:39.000000,0.17.2,47.0,deeppavlov,,,,['tensorflow'],248.0,240.0,https://pypi.org/project/deeppavlov,2021-12-16 19:47:39.000000,8.0,10644.0,10644.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n181,OpenNMT,OpenNMT/OpenNMT-py,,nlp,https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000000,2021-12-23 23:18:36.000000,2021-12-08 13:58:12.000000,2034,120.0,1207.0,5401.0,2586.0,Open Source Neural Machine Translation in PyTorch.,172.0,28,True,2021-09-14 08:49:23.000000,2.2.0,32.0,OpenNMT-py,,,,['pytorch'],126.0,122.0,https://pypi.org/project/OpenNMT-py,2021-09-14 08:49:23.000000,4.0,5366.0,5366.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n182,CleverHans,cleverhans-lab/cleverhans,,adversarial,https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04.000000,2021-12-26 19:57:53.000000,2021-09-23 22:14:27.000000,1304,25.0,422.0,5372.0,3201.0,\"An adversarial example library for constructing attacks, building defenses, and benchmarking both.\",128.0,28,True,2021-07-24 08:53:21.000000,4.0.0,8.0,cleverhans,,,,['tensorflow'],299.0,283.0,https://pypi.org/project/cleverhans,2021-07-24 08:53:21.000000,16.0,1110.0,1110.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n183,espnet,espnet/espnet,,audio,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000000,2021-12-28 22:29:43.000000,2021-12-28 19:53:22.000000,1365,249.0,1350.0,4558.0,13531.0,End-to-End Speech Processing Toolkit.,215.0,28,True,2021-11-10 08:24:37.000000,0.10.4,40.0,espnet,,,,,28.0,28.0,https://pypi.org/project/espnet,2021-11-10 08:24:37.000000,0.0,3685.0,3686.0,,,,,,,,2.0,,74.0,,,,,,,,,,,,,,,,,,,\n184,DEAP,deap/deap,,distributed-ml,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39.000000,2021-12-15 13:54:05.103000,2021-11-21 13:38:49.000000,926,225.0,246.0,4541.0,2179.0,Distributed Evolutionary Algorithms in Python.,76.0,28,False,2020-01-21 01:18:06.000000,1.3.1,19.0,deap,conda-forge/deap,,,,2787.0,2305.0,https://pypi.org/project/deap,2020-01-21 01:18:06.000000,482.0,162832.0,165224.0,https://anaconda.org/conda-forge/deap,2021-11-07 17:27:38.136000,157900.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n185,imutils,jrosebr1/imutils,,image,https://github.com/PyImageSearch/imutils,https://github.com/PyImageSearch/imutils,MIT,2015-01-11 20:05:39.000000,2021-12-09 01:25:49.387000,2021-01-15 10:46:45.000000,935,83.0,76.0,3927.0,138.0,\"A series of convenience functions to make basic image processing operations such as translation, rotation, resizing,..\",20.0,28,True,2021-01-15 10:53:17.000000,0.5.4,29.0,imutils,conda-forge/imutils,,,,22922.0,21726.0,https://pypi.org/project/imutils,2021-01-15 10:53:17.000000,1196.0,429315.0,431794.0,https://anaconda.org/conda-forge/imutils,2021-12-09 01:25:49.387000,74387.0,,,,,2.0,,,,,,,,,,,PyImageSearch/imutils,,,,,,,,,,\n186,huey,coleifer/huey,,data-pipelines,https://github.com/coleifer/huey,https://github.com/coleifer/huey,MIT,2011-11-03 16:39:43.000000,2021-12-28 18:36:38.000000,2021-12-28 18:36:19.000000,329,,485.0,3773.0,933.0,a little task queue for python.,66.0,28,True,2021-12-28 18:36:38.000000,2.4.3,64.0,huey,conda-forge/huey,,,,1129.0,843.0,https://pypi.org/project/huey,2021-12-28 18:36:38.000000,286.0,44925.0,45440.0,https://anaconda.org/conda-forge/huey,2019-10-16 15:34:27.487000,22684.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n187,sacred,IDSIA/sacred,,ml-experiments,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29.000000,2021-12-01 20:34:46.000000,2021-11-05 12:51:21.000000,335,93.0,427.0,3684.0,1314.0,\"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.\",95.0,28,True,2020-12-14 15:21:05.000000,0.8.2,27.0,sacred,,,,,1313.0,1159.0,https://pypi.org/project/sacred,2020-12-14 15:21:05.000000,154.0,30405.0,30405.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n188,tensorflow-probability,tensorflow/probability,,probabilistics,https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000000,2021-12-29 02:46:23.000000,2021-12-29 02:46:22.000000,949,526.0,630.0,3560.0,,Probabilistic reasoning and statistical analysis in TensorFlow.,433.0,28,True,2021-11-18 15:49:59.000000,0.15.0,41.0,tensorflow-probability,conda-forge/tensorflow-probability,,,['tensorflow'],252.0,,https://pypi.org/project/tensorflow-probability,2021-11-17 17:40:22.000000,252.0,1297169.0,1298582.0,https://anaconda.org/conda-forge/tensorflow-probability,2021-10-22 19:50:42.522000,48068.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n189,Dedupe,dedupeio/dedupe,,nlp,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36.000000,2021-12-20 14:33:32.000000,2021-12-20 14:33:24.000000,453,66.0,604.0,3245.0,2855.0,\"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.\",62.0,28,True,2021-04-17 00:35:34.000000,2.0.8,159.0,dedupe,,,,,285.0,207.0,https://pypi.org/project/dedupe,2021-04-17 00:35:34.000000,78.0,245161.0,245161.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n190,bqplot,bqplot/bqplot,,data-viz,https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18.000000,2021-12-20 14:55:32.000000,2021-12-20 10:54:38.000000,445,219.0,353.0,3207.0,3441.0,Plotting library for IPython/Jupyter notebooks.,55.0,28,True,2021-10-01 09:15:22.000000,0.12.31,98.0,bqplot,conda-forge/bqplot,,,['jupyter'],150.0,28.0,https://pypi.org/project/bqplot,2021-10-01 09:15:22.000000,112.0,55508.0,91362.0,https://anaconda.org/conda-forge/bqplot,2021-10-01 09:49:41.042000,909247.0,,,,,2.0,,,,bqplot,https://www.npmjs.com/package/bqplot,2021-10-01 09:13:14.243000,10.0,22284.0,,,,,,,,,,,,,\n191,ftfy,LuminosoInsight/python-ftfy,,nlp,https://github.com/rspeer/python-ftfy,https://github.com/rspeer/python-ftfy,MIT,2012-08-24 16:14:59.000000,2021-05-25 06:35:21.702000,2021-05-17 19:04:10.000000,104,11.0,111.0,3124.0,590.0,\"Fixes mojibake and other glitches in Unicode text, after the fact.\",18.0,28,True,2021-08-23 21:02:05.000000,6.0.3,45.0,ftfy,conda-forge/ftfy,,,,5285.0,4525.0,https://pypi.org/project/ftfy,2021-05-24 05:17:15.000000,760.0,981531.0,983949.0,https://anaconda.org/conda-forge/ftfy,2021-05-25 06:35:21.702000,135418.0,,,,,2.0,,,,,,,,,,,rspeer/python-ftfy,,,,,,,,,,\n192,Blaze,blaze/blaze,,data-containers,https://github.com/blaze/blaze,https://github.com/blaze/blaze,BSD-3-Clause,2012-10-26 14:25:22.000000,2020-02-01 19:33:09.000000,2019-08-15 21:14:59.000000,381,263.0,500.0,3013.0,7496.0,NumPy and Pandas interface to Big Data.,64.0,28,False,2016-07-19 20:40:03.000000,0.11.0,14.0,blaze,conda-forge/blaze,,,,9618.0,7996.0,https://pypi.org/project/blaze,2016-05-06 21:19:21.000000,1622.0,10819.0,14573.0,https://anaconda.org/conda-forge/blaze,2018-07-15 22:16:17.685000,195240.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n193,torchtext,pytorch/text,,nlp,https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000000,2021-12-30 12:35:54.000000,2021-12-23 06:31:29.000000,676,340.0,336.0,2922.0,847.0,Data loaders and abstractions for text and NLP.,119.0,28,True,2021-12-15 22:27:14.000000,0.11.1,18.0,torchtext,,,,['pytorch'],682.0,,https://pypi.org/project/torchtext,2021-12-15 22:27:14.000000,682.0,114162.0,114162.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n194,ClearML,allegroai/clearml,,ml-experiments,https://github.com/allegroai/clearml,https://github.com/allegroai/clearml,Apache-2.0,2019-06-10 08:18:32.000000,2021-12-30 12:21:25.000000,2021-12-30 12:17:10.000000,399,144.0,286.0,2890.0,1477.0,\"ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management.\",43.0,28,True,2021-11-08 09:06:16.000000,1.1.4,51.0,clearml,,allegroai/trains,,,171.0,171.0,https://pypi.org/project/clearml,2021-12-30 12:21:25.000000,0.0,64242.0,65257.0,,,,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,30095.0,2.0,,377.0,,,,,,,,,,,,,,,,,,,\n195,ta,bukosabino/ta,,financial-data,https://github.com/bukosabino/ta,https://github.com/bukosabino/ta,MIT,2018-01-02 18:08:48.000000,2021-12-19 09:19:34.000000,2021-12-08 10:31:50.000000,635,111.0,90.0,2671.0,590.0,Technical Analysis Library using Pandas and Numpy.,24.0,28,True,2021-11-20 09:07:49.000000,0.8.0,50.0,ta,,,,,927.0,915.0,https://pypi.org/project/ta,2021-11-20 09:07:49.000000,12.0,55080.0,55080.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n196,NMSLIB,nmslib/nmslib,,nn-search,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06.000000,2021-11-22 21:32:33.032000,2021-09-19 04:51:57.000000,371,60.0,331.0,2663.0,1511.0,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,45.0,28,True,2021-02-03 16:40:09.000000,2.1.1,32.0,nmslib,conda-forge/nmslib,,,,571.0,519.0,https://pypi.org/project/nmslib,2021-02-03 00:02:08.000000,52.0,89687.0,91990.0,https://anaconda.org/conda-forge/nmslib,2021-11-22 21:32:33.032000,46072.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n197,TextDistance,life4/textdistance,,nlp,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10.000000,2021-12-03 13:09:42.000000,2021-11-29 10:29:02.000000,203,9.0,,2583.0,321.0,\"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..\",11.0,28,True,2021-10-27 13:15:53.000000,4.2.2,22.0,textdistance,conda-forge/textdistance,,,,1500.0,1472.0,https://pypi.org/project/textdistance,2021-10-27 13:15:53.000000,28.0,267827.0,269410.0,https://anaconda.org/conda-forge/textdistance,2021-10-27 17:04:18.548000,67722.0,,,,,2.0,,421.0,,,,,,,,,,,,,,,,,,,\n198,sklearn-pandas,scikit-learn-contrib/sklearn-pandas,,data-containers,https://github.com/scikit-learn-contrib/sklearn-pandas,https://github.com/scikit-learn-contrib/sklearn-pandas,Zlib,2013-04-22 22:55:20.000000,2021-10-17 18:07:36.000000,2021-05-08 08:05:59.000000,393,25.0,127.0,2531.0,287.0,Pandas integration with sklearn.,37.0,28,False,2021-05-08 08:32:08.000000,2.1.0,27.0,sklearn-pandas,,,,\"['sklearn', 'pandas']\",3544.0,3322.0,https://pypi.org/project/sklearn-pandas,2021-05-08 08:14:28.000000,222.0,444983.0,444983.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n199,pygal,Kozea/pygal,,graph,https://github.com/Kozea/pygal,https://github.com/Kozea/pygal,LGPL-3.0,2011-09-23 10:17:50.000000,2021-11-29 10:47:48.000000,2021-11-24 21:04:02.000000,391,177.0,244.0,2421.0,1018.0,PYthon svg GrAph plotting Library.,71.0,28,False,2021-11-24 21:07:22.000000,3.0.0,75.0,pygal,conda-forge/pygal,,,,1152.0,,https://pypi.org/project/pygal,2021-11-24 21:07:22.000000,1152.0,110043.0,110361.0,https://anaconda.org/conda-forge/pygal,2019-06-04 02:55:56.728000,9552.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n200,hdbscan,scikit-learn-contrib/hdbscan,,others,https://github.com/scikit-learn-contrib/hdbscan,https://github.com/scikit-learn-contrib/hdbscan,BSD-3-Clause,2015-04-22 13:32:37.000000,2021-12-29 17:28:44.000000,2021-12-29 17:28:43.000000,369,253.0,151.0,2038.0,928.0,A high performance implementation of HDBSCAN clustering.,76.0,28,True,2021-02-03 20:21:02.000000,0.8.27,43.0,hdbscan,conda-forge/hdbscan,,,['sklearn'],1262.0,1138.0,https://pypi.org/project/hdbscan,2021-02-03 20:21:02.000000,124.0,331292.0,346546.0,https://anaconda.org/conda-forge/hdbscan,2021-02-14 03:07:15.749000,991573.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n201,Pythran,serge-sans-paille/pythran,,others,https://github.com/serge-sans-paille/pythran,https://github.com/serge-sans-paille/pythran,BSD-3-Clause,2012-05-29 08:02:14.000000,2021-12-30 13:49:26.000000,2021-12-14 08:14:27.000000,166,113.0,627.0,1669.0,3489.0,Ahead of Time compiler for numeric kernels.,64.0,28,True,2021-12-14 08:16:44.000000,0.11.0,52.0,pythran,conda-forge/pythran,,,,116.0,90.0,https://pypi.org/project/pythran,2021-12-14 08:16:44.000000,26.0,284687.0,289643.0,https://anaconda.org/conda-forge/pythran,2021-12-14 10:56:04.258000,213146.0,,,,,2.0,,,,,,,,,,,,,pythran,python-pythran,,,,,,,\n202,GPflow,GPflow/GPflow,,probabilistics,https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000000,2021-12-16 14:55:00.000000,2021-12-14 11:03:17.000000,411,119.0,622.0,1553.0,2248.0,Gaussian processes in TensorFlow.,72.0,28,True,2021-10-26 09:45:06.000000,2.3.0,32.0,gpflow,conda-forge/gpflow,,,['tensorflow'],352.0,318.0,https://pypi.org/project/gpflow,2021-10-26 09:45:06.000000,34.0,8135.0,8363.0,https://anaconda.org/conda-forge/gpflow,2018-11-06 08:51:39.744000,9825.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n203,mleap,combust/mleap,,data-pipelines,https://github.com/combust/mleap,https://github.com/combust/mleap,Apache-2.0,2016-08-23 03:51:03.000000,2021-12-22 20:30:52.000000,2021-12-20 15:34:29.000000,285,86.0,349.0,1343.0,931.0,MLeap: Deploy ML Pipelines to Production.,71.0,28,True,2021-09-27 15:16:57.000000,0.18.1,8.0,mleap,conda-forge/mleap,,,,205.0,173.0,https://pypi.org/project/mleap,2021-09-27 15:16:57.000000,32.0,183542.0,184859.0,https://anaconda.org/conda-forge/mleap,2021-10-02 22:28:24.067000,42159.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n204,Model Analysis,tensorflow/model-analysis,,interpretability,https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000000,2021-12-28 15:57:03.000000,2021-12-21 15:40:44.000000,238,25.0,47.0,1136.0,1081.0,Model analysis tools for TensorFlow.,36.0,28,True,2021-12-02 04:44:01.000000,0.36.0,46.0,tensorflow-model-analysis,,,,\"['tensorflow', 'jupyter']\",20.0,,https://pypi.org/project/tensorflow-model-analysis,2021-12-02 04:44:01.000000,20.0,6692777.0,6692777.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n205,pmdarima,alkaline-ml/pmdarima,,time-series-data,https://github.com/alkaline-ml/pmdarima,https://github.com/alkaline-ml/pmdarima,MIT,2017-03-30 14:58:30.000000,2021-12-09 18:13:28.000000,2021-11-28 21:48:59.000000,186,21.0,241.0,1086.0,1043.0,\"A statistical library designed to fill the void in Python's time series analysis capabilities, including the..\",19.0,28,True,2021-11-05 12:39:58.000000,1.8.4,36.0,pmdarima,,,,,1630.0,1618.0,https://pypi.org/project/pmdarima,2021-11-05 12:39:58.000000,12.0,1078969.0,1078969.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n206,zarr,zarr-developers/zarr-python,,data-containers,https://github.com/zarr-developers/zarr-python,https://github.com/zarr-developers/zarr-python,MIT,2015-12-15 14:49:40.000000,2021-12-29 04:14:32.000000,2021-12-21 17:12:31.000000,134,198.0,276.0,831.0,1522.0,\"An implementation of chunked, compressed, N-dimensional arrays for Python.\",53.0,28,True,2021-11-19 08:12:25.000000,2.10.3,49.0,zarr,conda-forge/zarr,,,,1047.0,975.0,https://pypi.org/project/zarr,2021-11-19 08:12:25.000000,72.0,56955.0,74573.0,https://anaconda.org/conda-forge/zarr,2021-11-19 10:43:50.744000,1180431.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n207,geojson,jazzband/geojson,,geospatial-data,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48.000000,2021-11-11 11:08:46.000000,2021-11-11 10:02:01.000000,88,19.0,58.0,676.0,455.0,Python bindings and utilities for GeoJSON.,45.0,28,True,2019-08-09 20:32:15.000000,2.5.0,28.0,geojson,conda-forge/geojson,,,,10109.0,8275.0,https://pypi.org/project/geojson,2019-08-09 20:32:15.000000,1834.0,607569.0,614322.0,https://anaconda.org/conda-forge/geojson,2019-08-11 12:10:34.426000,465976.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n208,data-validation,tensorflow/data-validation,,data-viz,https://github.com/tensorflow/data-validation,https://github.com/tensorflow/data-validation,Apache-2.0,2018-07-02 15:47:02.000000,2021-12-16 07:41:17.000000,2021-12-16 07:41:16.000000,112,37.0,109.0,595.0,703.0,Library for exploring and validating machine learning data.,23.0,28,True,2021-12-01 23:17:43.000000,1.5.0,35.0,tensorflow-data-validation,,,,\"['tensorflow', 'jupyter']\",382.0,364.0,https://pypi.org/project/tensorflow-data-validation,2021-12-01 23:17:43.000000,18.0,6991283.0,6991290.0,,,,,,,,2.0,,291.0,,,,,,,,,,,,,,,,,,,\n209,audioread,beetbox/audioread,,audio,https://github.com/beetbox/audioread,https://github.com/beetbox/audioread,MIT,2011-11-08 19:53:18.000000,2021-12-03 18:19:53.000000,2021-12-03 18:19:53.000000,88,31.0,46.0,383.0,251.0,cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python.,21.0,28,True,2020-10-20 11:23:09.000000,2.1.9,25.0,audioread,conda-forge/audioread,,,,7558.0,6972.0,https://pypi.org/project/audioread,2020-10-20 11:23:09.000000,586.0,487811.0,493538.0,https://anaconda.org/conda-forge/audioread,2021-11-07 14:43:40.465000,372315.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n210,MMDetection,open-mmlab/mmdetection,,image,https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000000,2021-12-30 10:44:09.000000,2021-12-30 09:22:44.000000,6404,426.0,4602.0,17777.0,1885.0,OpenMMLab Detection Toolbox and Benchmark.,293.0,27,True,2021-12-30 09:27:38.000000,2.20.0,28.0,,,,,['pytorch'],215.0,215.0,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n211,fairseq,pytorch/fairseq,,nlp,https://github.com/pytorch/fairseq,https://github.com/pytorch/fairseq,MIT,2017-08-29 16:26:12.000000,2021-12-30 10:02:09.000000,2021-12-30 10:02:05.000000,3778,1093.0,2026.0,14959.0,,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,369.0,27,True,2021-01-05 20:26:45.000000,0.10.2,13.0,fairseq,,,,['pytorch'],635.0,615.0,https://pypi.org/project/fairseq,2021-01-05 20:26:45.000000,20.0,32074.0,32077.0,,,,,,,,2.0,,158.0,,,,,,,,,,,,,,,,,,,\n212,baselines,openai/baselines,,reinforcement-learning,https://github.com/openai/baselines,https://github.com/openai/baselines,MIT,2017-05-24 01:58:13.000000,2021-12-03 07:10:56.000000,2020-01-31 13:06:18.000000,4144,472.0,430.0,12190.0,347.0,OpenAI Baselines: high-quality implementations of reinforcement learning algorithms.,114.0,27,False,2018-02-26 17:07:07.000000,0.1.5,6.0,baselines,,,,,434.0,360.0,https://pypi.org/project/baselines,2018-02-26 17:07:07.000000,74.0,2746.0,2746.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n213,Sonnet,deepmind/sonnet,,ml-frameworks,https://github.com/deepmind/sonnet,https://github.com/deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35.000000,2021-12-15 15:36:35.000000,2021-12-15 15:36:30.000000,1281,22.0,147.0,9147.0,,TensorFlow-based neural network library.,53.0,27,True,2020-03-27 10:36:19.000000,2.0.0,27.0,dm-sonnet,conda-forge/sonnet,,,['tensorflow'],818.0,736.0,https://pypi.org/project/dm-sonnet,2020-03-27 10:36:10.000000,82.0,273594.0,274102.0,https://anaconda.org/conda-forge/sonnet,2020-11-14 18:13:23.843000,12712.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n214,DVC,iterative/dvc,,ml-experiments,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000000,2021-12-30 14:31:48.000000,2021-12-29 20:33:36.000000,875,609.0,2857.0,9045.0,,Data Version Control | Git for Data & Models | ML Experiments Management.,252.0,27,True,2021-12-22 15:13:37.000000,2.9.3,344.0,dvc,conda-forge/dvc,,,,46.0,,https://pypi.org/project/dvc,2021-12-22 15:13:37.000000,46.0,319064.0,355397.0,https://anaconda.org/conda-forge/dvc,2021-12-25 11:03:28.304000,961341.0,,,,,2.0,-3.0,50956.0,,,,,,,,dvc,,,,,dvc,dvc,,,,,\n215,backtrader,mementum/backtrader,,financial-data,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52.000000,2021-12-29 09:36:21.000000,2021-07-17 22:17:12.000000,2390,37.0,,7920.0,2385.0,Python Backtesting library for trading strategies.,52.0,27,False,,,155.0,backtrader,,,,,925.0,855.0,https://pypi.org/project/backtrader,2020-07-03 13:02:14.000000,70.0,14164.0,14164.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n216,PySyft,OpenMined/PySyft,,privacy-ml,https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,Apache-2.0,2017-07-18 20:41:16.000000,2021-12-10 05:00:26.000000,2021-12-10 05:00:25.000000,1747,301.0,2754.0,7833.0,9339.0,A library for answering questions using data you cannot see.,426.0,27,True,2021-12-01 19:46:09.000000,0.6.0,61.0,syft,,,,['pytorch'],6.0,,https://pypi.org/project/syft,2021-12-01 19:46:09.000000,6.0,4269.0,4269.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n217,carla,carla-simulator/carla,,others,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000000,2021-12-22 16:05:24.000000,2021-11-19 11:13:47.000000,2041,504.0,3144.0,7050.0,5439.0,Open-source simulator for autonomous driving research.,138.0,27,True,2021-11-17 08:28:27.000000,0.9.13,24.0,carla,,,,,116.0,112.0,https://pypi.org/project/carla,2021-11-17 08:28:27.000000,4.0,2343.0,2343.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n218,imageai,OlafenwaMoses/ImageAI,,image,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33.000000,2021-12-04 10:57:04.000000,2021-05-08 20:05:36.000000,1852,250.0,424.0,6758.0,292.0,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,15.0,27,True,2021-01-05 01:26:01.000000,2.1.6,10.0,imageai,,,,,1036.0,1012.0,https://pypi.org/project/imageai,2021-01-05 01:26:01.000000,24.0,9140.0,24778.0,,,,,,,,2.0,,688079.0,,,,,,,,,,,,,,,,,,,\n219,tsfresh,blue-yonder/tsfresh,,time-series-data,https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17.000000,2021-12-21 18:56:28.651000,2021-12-21 03:31:43.000000,956,41.0,437.0,6096.0,398.0,Automatic extraction of relevant features from time series:.,82.0,27,True,2021-12-21 03:37:03.000000,0.19.0,27.0,tsfresh,conda-forge/tsfresh,,,['sklearn'],66.0,,https://pypi.org/project/tsfresh,2021-12-21 03:37:03.000000,66.0,244312.0,245839.0,https://anaconda.org/conda-forge/tsfresh,2021-12-21 18:56:28.651000,74870.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n220,Metaflow,Netflix/metaflow,,ml-experiments,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000000,2021-12-30 03:04:09.000000,2021-12-22 07:49:37.000000,456,227.0,189.0,5124.0,429.0,Build and manage real-life data science projects with ease!.,42.0,27,True,2021-12-17 06:48:34.000000,2.4.7,37.0,metaflow,conda-forge/metaflow,,,,234.0,232.0,https://pypi.org/project/metaflow,2021-12-17 07:20:33.000000,2.0,46426.0,47658.0,https://anaconda.org/conda-forge/metaflow,2021-12-09 09:01:48.220000,29589.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n221,librosa,librosa/librosa,,audio,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000000,2021-12-29 15:41:27.000000,2021-12-29 15:41:23.000000,779,36.0,893.0,4917.0,,Python library for audio and music analysis.,93.0,27,True,2021-05-26 10:15:06.000000,0.8.1,31.0,librosa,conda-forge/librosa,,,,1750.0,,https://pypi.org/project/librosa,2021-05-26 10:15:06.000000,1750.0,516392.0,522872.0,https://anaconda.org/conda-forge/librosa,2021-05-26 10:44:27.607000,421251.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n222,pyAudioAnalysis,tyiannak/pyAudioAnalysis,,audio,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13.000000,2021-11-12 09:45:54.000000,2021-11-12 09:42:45.000000,1047,173.0,114.0,4513.0,723.0,\"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.\",25.0,27,True,2021-11-12 09:45:54.000000,0.3.8,17.0,pyAudioAnalysis,,,,,269.0,247.0,https://pypi.org/project/pyAudioAnalysis,2021-11-12 09:45:54.000000,22.0,14531.0,14531.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n223,InterpretML,interpretml/interpret,,interpretability,https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000000,2021-12-16 20:03:59.000000,2021-12-16 20:03:59.000000,539,83.0,181.0,4372.0,1791.0,Fit interpretable models. Explain blackbox machine learning.,28.0,27,True,2021-09-23 20:41:03.000000,0.2.7,37.0,interpret,,,,['jupyter'],144.0,142.0,https://pypi.org/project/interpret,2021-09-23 19:52:27.000000,2.0,52004.0,52004.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n224,skorch,skorch-dev/skorch,,ml-frameworks,https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000000,2021-12-30 10:54:07.000000,2021-11-28 00:07:58.000000,298,52.0,368.0,4266.0,973.0,A scikit-learn compatible neural network library that wraps PyTorch.,47.0,27,True,2021-10-31 15:54:20.000000,0.11.0,14.0,skorch,conda-forge/skorch,,,\"['pytorch', 'sklearn']\",445.0,419.0,https://pypi.org/project/skorch,2021-10-31 15:48:51.000000,26.0,22101.0,34801.0,https://anaconda.org/conda-forge/skorch,2021-11-30 10:48:50.965000,495337.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n225,pyfolio,quantopian/pyfolio,,financial-data,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39.000000,2021-12-26 17:08:51.000000,2020-07-15 13:46:58.000000,1275,134.0,265.0,4189.0,1184.0,Portfolio and risk analytics in Python.,55.0,27,False,2019-04-15 15:00:21.000000,0.9.2,22.0,pyfolio,conda-forge/pyfolio,,,,402.0,348.0,https://pypi.org/project/pyfolio,2019-04-15 15:00:21.000000,54.0,5711.0,5880.0,https://anaconda.org/conda-forge/pyfolio,2020-05-16 14:11:57.267000,7805.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n226,Perspective,finos/perspective,,data-viz,https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000000,2021-12-28 19:10:24.000000,2021-12-23 21:43:34.000000,420,70.0,417.0,4009.0,4973.0,\"A data visualization and analytics component, especially well-suited for large and/or streaming datasets.\",65.0,27,True,2021-12-23 23:15:15.000000,1.0.8,60.0,perspective-python,,,,['jupyter'],227.0,219.0,https://pypi.org/project/perspective-python,2021-12-23 23:15:15.000000,8.0,4253.0,6142.0,,,,,,,,2.0,,,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2021-12-23 21:46:49.429000,,1889.0,,,,,,,,,,,,,\n227,PML,KevinMusgrave/pytorch-metric-learning,,pytorch-utils,https://github.com/KevinMusgrave/pytorch-metric-learning,https://github.com/KevinMusgrave/pytorch-metric-learning,MIT,2019-10-23 17:20:35.000000,2021-12-28 05:24:12.000000,2021-12-28 05:23:17.000000,496,41.0,276.0,3983.0,836.0,\"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.\",23.0,27,True,2021-12-28 04:39:25.000000,1.1.0,169.0,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,,['pytorch'],179.0,179.0,https://pypi.org/project/pytorch-metric-learning,2021-12-28 04:25:37.000000,0.0,122480.0,122708.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2021-12-28 05:17:47.281000,5264.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n228,DeepChem,deepchem/deepchem,,others,https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000000,2021-12-29 16:28:44.000000,2021-12-15 16:36:07.000000,1220,423.0,984.0,3344.0,7340.0,\"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.\",175.0,27,True,2021-03-18 03:10:52.000000,2.5.0,358.0,deepchem,,,,['tensorflow'],69.0,65.0,https://pypi.org/project/deepchem,2021-12-15 23:13:49.000000,4.0,3581.0,3581.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n229,dyNET,clab/dynet,,ml-frameworks,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21.000000,2021-09-07 23:47:31.000000,2021-01-27 15:43:03.000000,703,259.0,659.0,3268.0,3267.0,DyNet: The Dynamic Neural Network Toolkit.,156.0,27,True,2020-10-21 14:31:01.000000,2.1.2,24.0,dyNET,,,,,237.0,199.0,https://pypi.org/project/dyNET,2020-10-21 14:31:01.000000,38.0,17211.0,17281.0,,,,,,,,3.0,,4372.0,,,,,,,,,,,,,,,,,,,\n230,plotnine,has2k1/plotnine,,data-viz,https://github.com/has2k1/plotnine,https://github.com/has2k1/plotnine,GPL-2.0,2017-04-24 19:00:44.000000,2021-12-14 20:38:27.000000,2021-12-14 20:02:29.000000,147,76.0,381.0,2889.0,1711.0,A grammar of graphics for Python.,89.0,27,False,2021-03-25 12:57:10.000000,0.8.0,11.0,plotnine,conda-forge/plotnine,,,,3042.0,2788.0,https://pypi.org/project/plotnine,2021-03-25 10:49:20.000000,254.0,183325.0,185926.0,https://anaconda.org/conda-forge/plotnine,2021-03-25 12:31:04.423000,143061.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n231,Captum,pytorch/captum,,interpretability,https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000000,2021-12-28 17:00:00.000000,2021-12-14 23:33:54.000000,293,75.0,240.0,2845.0,883.0,Model interpretability and understanding for PyTorch.,77.0,27,True,2021-11-02 21:47:58.000000,0.4.1,7.0,captum,,,,['pytorch'],350.0,350.0,https://pypi.org/project/captum,2021-11-02 02:41:19.000000,0.0,30922.0,30922.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n232,Catalyst,catalyst-team/catalyst,,ml-experiments,https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13.000000,2021-12-28 04:22:47.000000,2021-12-28 04:19:23.000000,350,6.0,322.0,2815.0,1681.0,Accelerated deep learning R&D.,102.0,27,True,2021-12-28 04:11:48.000000,21.12,104.0,catalyst,,,,['pytorch'],487.0,449.0,https://pypi.org/project/catalyst,2021-12-28 04:12:33.000000,38.0,9861.0,9861.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n233,nlpaug,makcedward/nlpaug,,nlp,https://github.com/makcedward/nlpaug,https://github.com/makcedward/nlpaug,MIT,2019-03-21 03:00:17.000000,2021-12-25 02:49:58.000000,2021-12-23 17:31:28.000000,318,21.0,138.0,2801.0,708.0,Data augmentation for NLP.,26.0,27,True,2021-12-25 02:49:58.000000,1.1.10,36.0,nlpaug,,,,,220.0,218.0,https://pypi.org/project/nlpaug,2021-12-23 17:35:56.000000,2.0,31814.0,31814.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n234,pomegranate,jmschrei/pomegranate,,probabilistics,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000000,2021-12-17 09:45:23.000000,2021-11-20 02:50:26.000000,508,59.0,606.0,2799.0,930.0,\"Fast, flexible and easy to use probabilistic modelling in Python.\",65.0,27,True,2021-11-19 21:46:05.000000,0.14.7,67.0,pomegranate,conda-forge/pomegranate,,,,656.0,600.0,https://pypi.org/project/pomegranate,2021-11-19 21:46:05.000000,56.0,37200.0,39881.0,https://anaconda.org/conda-forge/pomegranate,2021-11-16 01:22:35.020000,77765.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n235,gpustat,wookayin/gpustat,,gpu-utilities,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43.000000,2021-11-07 22:16:42.000000,2021-08-13 10:24:05.000000,207,22.0,56.0,2680.0,170.0,A simple command-line utility for querying and monitoring GPU status.,12.0,27,True,2019-07-22 06:37:00.000000,0.6.0,11.0,gpustat,conda-forge/gpustat,,,,1558.0,1500.0,https://pypi.org/project/gpustat,2021-01-02 05:59:41.000000,58.0,367176.0,370388.0,https://anaconda.org/conda-forge/gpustat,2020-11-24 19:59:04.772000,106014.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n236,spark-nlp,JohnSnowLabs/spark-nlp,,nlp,https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000000,2021-12-30 13:40:15.000000,2021-12-29 17:59:45.000000,512,91.0,520.0,2531.0,13235.0,State of the Art Natural Language Processing.,104.0,27,True,2021-11-25 15:16:53.000000,3.3.4,97.0,spark-nlp,,,,['spark'],0.0,,https://pypi.org/project/spark-nlp,2021-11-25 14:32:50.000000,0.0,1353020.0,1353020.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n237,Core ML Tools,apple/coremltools,,model-serialisation,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000000,2021-12-14 22:33:17.000000,2021-12-14 22:33:17.000000,389,319.0,520.0,2493.0,,\"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.\",117.0,27,True,2021-11-09 18:32:21.000000,5.1.0,35.0,coremltools,,,,,982.0,716.0,https://pypi.org/project/coremltools,2021-11-09 18:32:21.000000,266.0,84089.0,84164.0,,,,,,,,1.0,,3849.0,,,,,,,,,,,,,,,,,,,\n238,GluonNLP,dmlc/gluon-nlp,,nlp,https://github.com/dmlc/gluon-nlp,https://github.com/dmlc/gluon-nlp,Apache-2.0,2018-04-04 20:57:13.000000,2021-12-02 15:56:37.000000,2021-08-24 19:11:38.000000,519,260.0,295.0,2350.0,840.0,\"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..\",82.0,27,True,2020-08-13 19:17:42.000000,0.10.0,26.0,gluonnlp,,,,['mxnet'],706.0,684.0,https://pypi.org/project/gluonnlp,2020-08-13 19:17:42.000000,22.0,104110.0,104110.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n239,pytorch-optimizer,jettify/pytorch-optimizer,,pytorch-utils,https://github.com/jettify/pytorch-optimizer,https://github.com/jettify/pytorch-optimizer,Apache-2.0,2020-01-03 03:16:39.000000,2021-12-20 10:07:58.000000,2021-11-11 16:56:57.000000,211,16.0,28.0,2250.0,430.0,torch-optimizer -- collection of optimizers for Pytorch.,25.0,27,True,2021-10-31 03:00:19.000000,0.3.0,21.0,torch_optimizer,,,,['pytorch'],415.0,415.0,https://pypi.org/project/torch_optimizer,2021-10-31 03:00:19.000000,0.0,53897.0,53897.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n240,dtreeviz,parrt/dtreeviz,,interpretability,https://github.com/parrt/dtreeviz,https://github.com/parrt/dtreeviz,MIT,2018-08-13 21:45:15.000000,2021-12-03 00:18:48.000000,2021-12-03 00:18:48.000000,242,20.0,94.0,1875.0,373.0,A python library for decision tree visualization and model interpretation.,17.0,27,True,2021-11-10 22:55:11.000000,1.3.2,25.0,dtreeviz,,,,,282.0,278.0,https://pypi.org/project/dtreeviz,2021-11-10 22:51:55.000000,4.0,77610.0,77610.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n241,hnswlib,nmslib/hnswlib,,nn-search,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000000,2021-12-28 03:40:23.000000,2021-12-09 22:20:16.000000,348,119.0,118.0,1831.0,347.0,Header-only C++/python library for fast approximate nearest neighbors.,52.0,27,True,2021-12-28 03:40:23.000000,0.6.0,7.0,hnswlib,,,,,183.0,181.0,https://pypi.org/project/hnswlib,2021-12-28 03:40:23.000000,2.0,154879.0,154879.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n242,MNE,mne-tools/mne-python,,medical-data,https://github.com/mne-tools/mne-python,https://github.com/mne-tools/mne-python,BSD-3-Clause,2011-01-28 03:31:13.000000,2021-12-29 01:18:07.000000,2021-12-21 03:09:18.000000,973,354.0,3538.0,1771.0,,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,277.0,27,True,2021-12-01 22:27:11.000000,0.24.1,58.0,mne,conda-forge/mne,,,,1514.0,1316.0,https://pypi.org/project/mne,2021-12-01 22:27:11.000000,198.0,31942.0,35028.0,https://anaconda.org/conda-forge/mne,2021-12-18 15:46:02.719000,179014.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n243,TFX,tensorflow/tfx,,data-pipelines,https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000000,2021-12-30 12:18:41.000000,2021-12-30 03:13:10.000000,519,249.0,479.0,1663.0,4013.0,TFX is an end-to-end platform for deploying production ML pipelines.,127.0,27,True,2021-12-14 20:33:12.000000,1.5.0,68.0,tfx,,,,['tensorflow'],4.0,,https://pypi.org/project/tfx,2021-12-14 20:33:12.000000,4.0,594520.0,594520.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n244,datasketch,ekzhu/datasketch,,data-containers,https://github.com/ekzhu/datasketch,https://github.com/ekzhu/datasketch,MIT,2015-03-20 01:21:46.000000,2021-12-27 20:13:28.000000,2021-12-27 20:10:03.000000,233,29.0,97.0,1640.0,203.0,\"MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble.\",20.0,27,True,2021-12-27 20:13:28.000000,1.5.6,78.0,datasketch,,,,,423.0,337.0,https://pypi.org/project/datasketch,2021-12-27 20:10:31.000000,86.0,357747.0,357747.0,,,,,,,,3.0,,18.0,,,,,,,,,,,,,,,,,,,\n245,jellyfish,jamesturk/jellyfish,,nlp,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,BSD-2-Clause,2010-07-09 20:41:11.000000,2021-12-15 06:50:41.727000,2021-11-16 18:49:21.000000,143,9.0,98.0,1586.0,,a python library for doing approximate and phonetic matching of strings.,25.0,27,True,2021-10-26 15:22:58.000000,0.8.9,31.0,jellyfish,conda-forge/jellyfish,,,,3724.0,3078.0,https://pypi.org/project/jellyfish,2021-10-26 15:22:58.000000,646.0,1672396.0,1674979.0,https://anaconda.org/conda-forge/jellyfish,2021-12-15 06:50:41.727000,162775.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n246,tesserocr,sirfz/tesserocr,,ocr,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36.000000,2021-11-09 18:12:48.000000,2021-11-09 18:12:47.000000,202,74.0,158.0,1572.0,178.0,A Python wrapper for the tesseract-ocr API.,26.0,27,True,2021-06-19 21:10:18.000000,2.5.2,16.0,tesserocr,conda-forge/tesserocr,,,,686.0,586.0,https://pypi.org/project/tesserocr,2021-06-19 21:10:18.000000,100.0,62263.0,64671.0,https://anaconda.org/conda-forge/tesserocr,2021-01-13 16:38:14.456000,62621.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n247,torchaudio,pytorch/audio,,audio,https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000000,2021-12-30 14:45:35.000000,2021-12-30 14:35:26.000000,370,150.0,444.0,1533.0,1168.0,\"Data manipulation and transformation for audio signal processing, powered by PyTorch.\",145.0,27,True,2021-12-16 20:41:17.000000,0.10.1,18.0,torchaudio,,,,['pytorch'],18.0,,https://pypi.org/project/torchaudio,2021-12-15 22:26:34.000000,18.0,262149.0,262149.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n248,petastorm,uber/petastorm,,distributed-ml,https://github.com/uber/petastorm,https://github.com/uber/petastorm,Apache-2.0,2018-06-15 23:15:29.000000,2021-10-27 18:10:41.000000,2021-10-27 18:10:41.000000,221,135.0,132.0,1319.0,664.0,Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets..,43.0,27,True,2021-09-04 05:47:24.000000,0.11.3,75.0,petastorm,,,,,53.0,53.0,https://pypi.org/project/petastorm,2021-09-04 05:47:24.000000,0.0,124711.0,124718.0,,,,,,,,2.0,,309.0,,,,,,,,,,,,,,,,,,,\n249,snakemake,snakemake/snakemake,,ml-experiments,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867000,2021-12-25 22:10:54.000000,2021-12-21 15:52:57.000000,278,529.0,292.0,1202.0,,\"This is the development home of the workflow management system Snakemake. For general information, see.\",229.0,27,True,2021-12-09 09:38:13.000000,6.12.3,195.0,snakemake,bioconda/snakemake,,,,1281.0,993.0,https://pypi.org/project/snakemake,2021-12-09 09:38:13.000000,288.0,17165.0,22091.0,https://anaconda.org/bioconda/snakemake,2021-12-09 16:32:30.693000,364596.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n250,Mesh,tensorflow/mesh,,distributed-ml,https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34.000000,2021-11-09 23:55:29.000000,2021-10-18 19:57:56.000000,196,88.0,14.0,1168.0,643.0,Mesh TensorFlow: Model Parallelism Made Easier.,44.0,27,True,2021-03-24 19:03:46.000000,0.1.19,25.0,mesh-tensorflow,,,,['tensorflow'],672.0,616.0,https://pypi.org/project/mesh-tensorflow,2021-03-24 19:03:46.000000,56.0,325154.0,325154.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n251,arviz,arviz-devs/arviz,,interpretability,https://github.com/arviz-devs/arviz,https://github.com/arviz-devs/arviz,Apache-2.0,2015-07-29 11:51:10.000000,2021-12-15 23:34:31.000000,2021-12-15 22:58:11.000000,255,193.0,554.0,1127.0,,Exploratory analysis of Bayesian models with Python.,106.0,27,True,2021-10-03 11:17:21.000000,0.11.4,25.0,arviz,conda-forge/arviz,,,,1782.0,1746.0,https://pypi.org/project/arviz,2021-10-03 11:17:21.000000,36.0,264477.0,283419.0,https://anaconda.org/conda-forge/arviz,2021-10-03 15:30:41.137000,587158.0,,,,,1.0,,111.0,,,,,,,,,,,,,,,,,,,\n252,PyVista,pyvista/pyvista,,data-viz,https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000000,2021-12-29 18:16:14.000000,2021-12-29 17:32:35.000000,200,172.0,476.0,1060.0,2250.0,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,67.0,27,True,2021-09-11 20:03:16.000000,0.32.1,49.0,pyvista,conda-forge/pyvista,,,['jupyter'],580.0,554.0,https://pypi.org/project/pyvista,2021-09-11 20:03:16.000000,26.0,32452.0,36820.0,https://anaconda.org/conda-forge/pyvista,2021-09-12 01:56:26.368000,135197.0,,,,,2.0,,386.0,,,,,,,,,,,,,,,,,,,\n253,petl,petl-developers/petl,,data-pipelines,https://github.com/petl-developers/petl,https://github.com/petl-developers/petl,MIT,2011-08-19 09:51:03.000000,2021-12-16 03:45:53.000000,2021-12-16 03:45:43.000000,166,73.0,351.0,962.0,1155.0,Python Extract Transform and Load Tables of Data.,51.0,27,True,2021-10-15 03:48:10.000000,1.7.5,79.0,petl,conda-forge/petl,,http://petl.readthedocs.org,,710.0,596.0,https://pypi.org/project/petl,2021-03-27 03:06:14.000000,114.0,45200.0,46122.0,https://anaconda.org/conda-forge/petl,2021-04-05 21:49:41.242000,58120.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n254,kmodes,nicodv/kmodes,,others,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40.000000,2021-12-15 19:40:42.000000,2021-12-15 19:40:41.000000,355,19.0,122.0,945.0,472.0,\"Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data.\",20.0,27,True,2021-10-08 04:41:31.000000,0.11.1,14.0,kmodes,,,,,955.0,929.0,https://pypi.org/project/kmodes,2021-10-08 04:35:56.000000,26.0,259341.0,259341.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n255,igraph,igraph/python-igraph,,graph,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16.000000,2021-12-27 15:52:08.000000,2021-12-27 12:28:28.000000,210,36.0,326.0,912.0,1840.0,Python interface for igraph.,56.0,27,False,2021-10-29 01:08:18.000000,0.9.8,26.0,python-igraph,conda-forge/igraph,,,,824.0,400.0,https://pypi.org/project/python-igraph,2021-10-29 00:55:02.000000,424.0,232292.0,241863.0,https://anaconda.org/conda-forge/igraph,2021-11-12 06:30:55.873000,263983.0,,,,,2.0,,305836.0,,,,,,,,,,,,,,,,,,,\n256,mahotas,luispedro/mahotas,,image,https://github.com/luispedro/mahotas,https://github.com/luispedro/mahotas,MIT,2010-01-31 00:13:06.000000,2021-12-07 00:42:53.000000,2021-12-07 00:42:43.000000,139,16.0,61.0,725.0,1286.0,Computer Vision in Python.,32.0,27,True,2021-10-14 12:53:24.000000,1.4.12,58.0,mahotas,conda-forge/mahotas,,,,916.0,726.0,https://pypi.org/project/mahotas,2021-10-14 12:53:24.000000,190.0,8561.0,13045.0,https://anaconda.org/conda-forge/mahotas,2021-11-17 20:03:30.117000,309447.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n257,PyNNDescent,lmcinnes/pynndescent,,nn-search,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000000,2021-12-08 17:38:15.000000,2021-12-08 17:38:15.000000,69,42.0,50.0,534.0,534.0,A Python nearest neighbor descent for approximate nearest neighbors.,18.0,27,True,2021-10-15 14:06:19.000000,0.5.5,24.0,pynndescent,conda-forge/pynndescent,,,,1092.0,1086.0,https://pypi.org/project/pynndescent,2021-10-15 13:34:09.000000,6.0,1558743.0,1572947.0,https://anaconda.org/conda-forge/pynndescent,2021-10-15 15:32:23.572000,426121.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n258,hvPlot,holoviz/hvplot,,data-viz,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000000,2021-12-16 12:19:48.000000,2021-12-16 11:17:47.000000,62,143.0,262.0,492.0,430.0,\"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.\",33.0,27,True,2021-07-26 16:25:50.000000,0.7.3,39.0,hvplot,conda-forge/hvplot,,,,985.0,955.0,https://pypi.org/project/hvplot,2021-12-09 15:42:22.000000,30.0,95226.0,98738.0,https://anaconda.org/conda-forge/hvplot,2021-07-23 14:04:28.244000,140487.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n259,DIPY,dipy/dipy,,medical-data,https://github.com/dipy/dipy,https://github.com/dipy/dipy,BSD-3-Clause,2010-02-06 11:43:08.000000,2021-12-17 23:10:34.000000,2021-12-03 03:48:36.000000,331,123.0,636.0,482.0,11739.0,\"DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal..\",128.0,27,True,2021-05-06 04:40:48.000000,1.4.1,23.0,dipy,conda-forge/dipy,,,,575.0,481.0,https://pypi.org/project/dipy,2021-05-06 04:40:48.000000,94.0,7607.0,11716.0,https://anaconda.org/conda-forge/dipy,2021-05-06 13:36:55.402000,275306.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n260,detectron2,facebookresearch/detectron2,,image,https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000000,2021-12-30 02:08:45.000000,2021-12-27 09:05:44.000000,5019,143.0,2656.0,19392.0,,\"Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.\",196.0,26,True,2021-11-15 22:08:26.000000,0.6,10.0,,conda-forge/detectron2,,,['pytorch'],453.0,453.0,,,,,1907.0,https://anaconda.org/conda-forge/detectron2,2021-07-30 18:54:13.472000,36234.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n261,PaddleOCR,PaddlePaddle/PaddleOCR,,ocr,https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000000,2021-12-30 13:34:05.000000,2021-12-30 10:52:02.000000,3742,1006.0,2720.0,18380.0,,\"Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages..\",81.0,26,True,2021-05-26 11:43:06.000000,2.1.1,19.0,paddleocr,,,,['paddle'],485.0,485.0,https://pypi.org/project/paddleocr,2021-11-17 08:44:28.000000,0.0,32749.0,32749.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n262,Magenta,magenta/magenta,,audio,https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40.000000,2021-10-18 02:01:53.000000,2021-06-30 21:44:13.000000,3518,321.0,570.0,17292.0,,Magenta: Music and Art Generation with Machine Intelligence.,149.0,26,True,2020-11-12 19:17:18.000000,2.1.3,66.0,magenta,,,,['tensorflow'],399.0,329.0,https://pypi.org/project/magenta,2020-11-12 19:17:18.000000,70.0,7041.0,7041.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n263,CNTK,microsoft/CNTK,,ml-frameworks,https://github.com/microsoft/CNTK,https://github.com/microsoft/CNTK,MIT,2015-11-26 09:52:06.000000,2021-08-27 04:46:43.000000,2020-03-31 15:55:14.000000,4402,836.0,2524.0,17112.0,16116.0,\"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.\",271.0,26,False,2019-04-26 14:13:32.000000,2.7,32.0,cntk,,,,,34.0,,https://pypi.org/project/cntk,2020-12-09 22:21:57.000000,34.0,1433.0,1628.0,,,,,,,,3.0,,13894.0,,,,,,,,,,,,,,,,,,,\n264,Faiss,facebookresearch/faiss,,nn-search,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000000,2021-12-26 12:25:04.000000,2021-12-16 23:44:23.000000,2400,229.0,1448.0,15829.0,,A library for efficient similarity search and clustering of dense vectors.,90.0,26,True,2021-06-09 09:16:17.000000,1.1.2,57.0,pymilvus,conda-forge/faiss,,,,534.0,528.0,https://pypi.org/project/pymilvus,2021-11-01 10:54:41.000000,6.0,18421.0,30604.0,https://anaconda.org/conda-forge/faiss,2021-11-20 08:01:48.432000,231487.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n265,Prophet,facebook/prophet,,time-series-data,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000000,2021-12-25 12:20:27.000000,2021-12-25 12:20:24.000000,3913,162.0,1578.0,13863.0,,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,137.0,26,True,2021-04-02 23:45:16.000000,1.0,14.0,fbprophet,,,,,150.0,,https://pypi.org/project/fbprophet,2020-09-05 16:12:50.000000,150.0,1117265.0,1117276.0,,,,,,,,1.0,,640.0,,,,,,,,,,,,,,,,,,,\n266,Turi Create,apple/turicreate,,ml-frameworks,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04.000000,2021-11-29 19:55:31.000000,2021-11-29 19:55:31.000000,1111,484.0,1281.0,10538.0,,Turi Create simplifies the development of custom machine learning models.,83.0,26,True,2020-09-30 22:51:40.000000,6.4.1,31.0,turicreate,,,,,318.0,284.0,https://pypi.org/project/turicreate,2020-09-30 22:51:40.000000,34.0,22318.0,22421.0,,,,,,,,3.0,,4971.0,,,,,,,,,,,,,,,,,,,\n267,ParlAI,facebookresearch/ParlAI,,nlp,https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44.000000,2021-12-23 23:16:53.000000,2021-12-23 18:04:02.000000,1672,92.0,1127.0,8523.0,,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,169.0,26,True,2021-10-12 21:51:23.000000,1.5.1,21.0,parlai,,,,['pytorch'],54.0,54.0,https://pypi.org/project/parlai,2021-10-12 21:51:23.000000,0.0,2171.0,2171.0,,,,,,,,2.0,-3.0,,,,,,,,,,,,,,,,,,,,\n268,PaddleHub,PaddlePaddle/PaddleHub,,others,https://github.com/PaddlePaddle/PaddleHub,https://github.com/PaddlePaddle/PaddleHub,Apache-2.0,2018-12-21 06:00:48.000000,2021-12-30 10:21:55.000000,2021-12-28 03:05:27.000000,1469,380.0,621.0,7327.0,,\"Awesome pre-trained models toolkit based on PaddlePaddle.(300+ models including Image, Text, Audio and Video with Easy..\",53.0,26,True,2021-12-28 02:55:41.000000,2.2.0,47.0,paddlehub,,,,['paddle'],628.0,628.0,https://pypi.org/project/paddlehub,2021-12-28 02:55:41.000000,0.0,8691.0,8708.0,,,,,,,,2.0,,561.0,,,,,,,,,,,,,,,,,,,\n269,TensorLayer,tensorlayer/tensorlayer,,reinforcement-learning,https://github.com/tensorlayer/TensorLayer,https://github.com/tensorlayer/TensorLayer,Apache-2.0,2016-06-07 15:55:16.000000,2021-12-03 08:14:02.000000,2021-10-29 08:29:08.000000,1488,20.0,437.0,6805.0,3350.0,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,132.0,26,True,2021-01-06 07:16:21.000000,2.2.4,82.0,tensorlayer,,,,['tensorflow'],68.0,,https://pypi.org/project/tensorlayer,2020-06-19 00:53:37.000000,68.0,2557.0,2577.0,,,,,,,,2.0,,1291.0,,,,,,,,,,,,,,,,,,,\n270,Facets Overview,pair-code/facets,,data-viz,https://github.com/PAIR-code/facets,https://github.com/PAIR-code/facets,Apache-2.0,2017-07-07 14:03:03.000000,2021-11-29 10:48:23.000000,2021-05-06 12:01:05.000000,834,76.0,76.0,6748.0,264.0,Visualizations for machine learning datasets.,28.0,26,True,2019-07-24 15:57:06.000000,1.0.0,4.0,facets-overview,,,,['jupyter'],98.0,92.0,https://pypi.org/project/facets-overview,2019-07-24 15:57:06.000000,6.0,122755.0,122755.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n271,EfficientNet-PyTorch,lukemelas/EfficientNet-PyTorch,,pytorch-utils,https://github.com/lukemelas/EfficientNet-PyTorch,https://github.com/lukemelas/EfficientNet-PyTorch,Apache-2.0,2019-05-30 05:24:11.000000,2021-11-02 08:10:31.000000,2021-04-15 15:16:36.000000,1325,130.0,134.0,6703.0,162.0,A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!).,24.0,26,True,2021-04-15 15:17:23.000000,0.7.1,13.0,efficientnet-pytorch,,,,['pytorch'],14.0,,https://pypi.org/project/efficientnet-pytorch,2021-04-15 15:17:23.000000,14.0,248690.0,300008.0,,,,,,,,1.0,,1077679.0,,,,,,,,,,,,,,,,,,,\n272,DeepSpeed,microsoft/DeepSpeed,,distributed-ml,https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,MIT,2020-01-23 18:35:18.000000,2021-12-30 13:46:38.000000,2021-12-30 13:27:31.000000,653,372.0,382.0,6069.0,823.0,\"DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.\",86.0,26,True,2021-12-01 01:16:49.000000,0.5.8,39.0,deepspeed,,deepspeed/deepspeed,,['pytorch'],135.0,135.0,https://pypi.org/project/deepspeed,2021-12-01 01:15:45.000000,0.0,39405.0,39943.0,,,,https://hub.docker.com/r/deepspeed/deepspeed,2021-05-05 21:39:11.981563,3.0,12382.0,2.0,,,,,,,,,,,,,,,,,,,,,\n273,stanza,stanfordnlp/stanza,,nlp,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56.000000,2021-12-30 00:42:28.000000,2021-11-18 23:03:56.000000,745,72.0,544.0,5907.0,,Official Stanford NLP Python Library for Many Human Languages.,41.0,26,True,2021-10-06 06:28:19.000000,1.3.0,14.0,stanza,stanfordnlp/stanza,,,,802.0,798.0,https://pypi.org/project/stanza,2021-10-05 06:37:56.000000,4.0,352562.0,352777.0,https://anaconda.org/stanfordnlp/stanza,2021-10-05 07:17:34.873000,4529.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n274,OCRmyPDF,jbarlow83/OCRmyPDF,,ocr,https://github.com/ocrmypdf/OCRmyPDF,https://github.com/ocrmypdf/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000000,2021-12-29 09:15:49.000000,2021-12-29 09:15:49.000000,521,85.0,699.0,5675.0,3141.0,\"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.\",60.0,26,True,2021-12-19 23:13:40.000000,13.2.0,190.0,ocrmypdf,,,,,12.0,,https://pypi.org/project/ocrmypdf,2021-12-19 23:13:40.000000,12.0,21772.0,21772.0,,,,,,,,2.0,,,,,,,,,,ocrmypdf,ocrmypdf/OCRmyPDF,,,,ocrmypdf,,,,,,\n275,scikit-surprise,NicolasHug/Surprise,,recommender-systems,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38.000000,2021-11-18 20:15:44.176000,2020-08-05 17:45:59.000000,890,51.0,292.0,5164.0,622.0,A Python scikit for building and analyzing recommender systems.,38.0,26,False,2020-07-19 14:50:48.000000,1.1.1,9.0,scikit-surprise,conda-forge/scikit-surprise,,,,48.0,,https://pypi.org/project/scikit-surprise,2020-07-19 14:50:48.000000,48.0,67486.0,71865.0,https://anaconda.org/conda-forge/scikit-surprise,2021-11-18 20:15:44.176000,205823.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n276,Kedro,quantumblacklabs/kedro,,data-pipelines,https://github.com/quantumblacklabs/kedro,https://github.com/quantumblacklabs/kedro,Apache-2.0,2019-04-18 10:29:56.000000,2021-12-28 15:09:51.000000,2021-12-17 17:21:31.000000,539,51.0,550.0,4789.0,,\"A Python framework for creating reproducible, maintainable and modular data science code.\",135.0,26,True,2021-12-09 16:01:14.000000,0.17.6,30.0,kedro,,,,,677.0,661.0,https://pypi.org/project/kedro,2021-12-09 16:01:14.000000,16.0,222798.0,222798.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n277,sktime,alan-turing-institute/sktime,,time-series-data,https://github.com/alan-turing-institute/sktime,https://github.com/alan-turing-institute/sktime,BSD-3-Clause,2018-11-06 15:08:24.000000,2021-12-30 14:28:45.000000,2021-12-29 21:40:49.000000,724,304.0,541.0,4782.0,,A unified framework for machine learning with time series.,133.0,26,True,2021-12-08 20:04:41.000000,0.9.0,19.0,sktime,,,,['sklearn'],319.0,319.0,https://pypi.org/project/sktime,2021-12-08 20:04:41.000000,0.0,139103.0,139105.0,,,,,,,,1.0,,64.0,,,,,,,,,,,,,,,,,,,\n278,Augmentor,mdbloice/Augmentor,,image,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55.000000,2021-10-15 05:38:50.000000,2021-10-15 05:38:50.000000,830,122.0,70.0,4600.0,537.0,Image augmentation library in Python for machine learning.,22.0,26,True,2021-10-14 08:49:48.000000,0.2.9,21.0,Augmentor,,,,,433.0,391.0,https://pypi.org/project/Augmentor,2021-10-14 08:49:48.000000,42.0,8055.0,8055.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n279,kaggle,Kaggle/kaggle-api,,ml-experiments,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000000,2021-12-17 19:19:11.878000,2021-03-15 15:49:05.000000,871,190.0,144.0,4491.0,145.0,Official Kaggle API.,36.0,26,True,2021-03-13 00:50:03.000000,1.5.12,48.0,kaggle,conda-forge/kaggle,,,,564.0,,https://pypi.org/project/kaggle,2021-03-13 00:50:03.000000,564.0,135506.0,137948.0,https://anaconda.org/conda-forge/kaggle,2021-12-17 19:19:11.878000,75724.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n280,VisualDL,PaddlePaddle/VisualDL,,ml-experiments,https://github.com/PaddlePaddle/VisualDL,https://github.com/PaddlePaddle/VisualDL,Apache-2.0,2017-12-20 12:34:31.000000,2021-12-30 09:58:24.000000,2021-12-30 09:58:24.000000,577,57.0,332.0,4260.0,,Deep Learning Visualization Toolkit.,31.0,26,True,2021-09-07 02:12:38.000000,2.2.1,34.0,visualdl,,,,['paddle'],896.0,886.0,https://pypi.org/project/visualdl,2021-11-09 12:29:34.000000,10.0,47487.0,47495.0,,,,,,,,2.0,,161.0,,,,,,,,,,,,,,,,,,,\n281,Activeloop,activeloopai/Hub,,data-pipelines,https://github.com/activeloopai/Hub,https://github.com/activeloopai/Hub,MPL-2.0,2019-08-09 06:17:59.000000,2021-12-30 13:55:10.000000,2021-12-30 07:18:12.000000,334,67.0,265.0,4132.0,2201.0,\"Dataset format for AI. Build, manage, & visualize datasets for deep learning. Stream data real-time to..\",89.0,26,True,2021-12-22 22:49:55.000000,2.2.0,120.0,hub,,,,,190.0,138.0,https://pypi.org/project/hub,2021-12-22 22:48:30.000000,52.0,1999.0,1999.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n282,AutoGluon,awslabs/autogluon,,hyperopt,https://github.com/awslabs/autogluon,https://github.com/awslabs/autogluon,Apache-2.0,2019-07-29 18:51:24.000000,2021-12-30 09:04:16.000000,2021-12-30 04:24:04.000000,521,150.0,443.0,3947.0,738.0,\"AutoGluon: AutoML for Text, Image, and Tabular Data.\",63.0,26,True,2021-08-31 20:48:52.000000,0.3.1,647.0,autogluon,,,,['mxnet'],89.0,89.0,https://pypi.org/project/autogluon,2021-12-30 09:04:16.000000,0.0,18650.0,18650.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n283,lightfm,lyst/lightfm,,recommender-systems,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00.000000,2021-12-29 11:03:55.000000,2021-02-07 21:16:06.000000,611,90.0,345.0,3888.0,428.0,\"A Python implementation of LightFM, a hybrid recommendation algorithm.\",44.0,26,True,2020-11-27 19:48:30.000000,1.16,14.0,lightfm,conda-forge/lightfm,,,,672.0,616.0,https://pypi.org/project/lightfm,2020-11-27 19:55:08.000000,56.0,216707.0,219085.0,https://anaconda.org/conda-forge/lightfm,2021-02-07 22:19:58.097000,111802.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n284,BigDL,intel-analytics/BigDL,,distributed-ml,https://github.com/intel-analytics/BigDL,https://github.com/intel-analytics/BigDL,Apache-2.0,2016-08-29 07:59:50.000000,2021-12-30 14:07:48.000000,2021-12-30 01:25:45.000000,955,342.0,788.0,3817.0,2680.0,Building Large-Scale AI Applications for Distributed Big Data.,129.0,26,True,2021-07-09 12:20:26.000000,0.13.0,86.0,bigdl,,,,,32.0,32.0,https://pypi.org/project/bigdl,2021-12-29 16:29:37.000000,0.0,11225.0,11225.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,com.intel.analytics.bigdl:bigdl-SPARK_2.4,https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4,2021-04-20 01:33:14.000000,0.0,\n285,Lasagne,Lasagne/Lasagne,,ml-frameworks,https://github.com/Lasagne/Lasagne,https://github.com/Lasagne/Lasagne,MIT,2014-09-11 15:31:41.000000,2021-12-15 16:05:43.118000,2019-11-20 20:28:30.000000,977,139.0,402.0,3801.0,1161.0,Lightweight library to build and train neural networks in Theano.,72.0,26,False,2015-08-13 21:00:09.000000,0.1,2.0,lasagne,,,,,1389.0,883.0,https://pypi.org/project/lasagne,2021-12-15 16:05:43.118000,506.0,3155.0,3155.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n286,Alpha Vantage,RomelTorres/alpha_vantage,,financial-data,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00.000000,2021-12-06 01:38:57.000000,2021-06-14 05:10:42.000000,626,14.0,248.0,3565.0,497.0,A python wrapper for Alpha Vantage API for financial data.,39.0,26,True,2020-12-21 02:37:29.000000,2.3.1,28.0,alpha_vantage,,,,,202.0,,https://pypi.org/project/alpha_vantage,2018-08-26 18:55:11.000000,202.0,28609.0,28609.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n287,haystack,deepset-ai/haystack,,nlp,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000000,2021-12-30 12:51:09.000000,2021-12-30 09:15:11.000000,592,151.0,902.0,3497.0,970.0,Haystack is an open source NLP framework that leverages Transformer models. It enables developers to implement..,89.0,26,True,2021-12-08 08:05:22.000000,1.0.0,35.0,haystack,,,,,263.0,97.0,https://pypi.org/project/haystack,2021-12-15 14:01:39.322000,166.0,1449.0,1449.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n288,pytorch-summary,sksq96/pytorch-summary,,pytorch-utils,https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04.000000,2021-06-20 09:40:21.000000,2021-05-10 18:34:53.000000,377,118.0,39.0,3355.0,57.0,Model summary in PyTorch similar to `model.summary()` in Keras.,11.0,26,True,2018-09-26 05:07:28.000000,1.5.1,12.0,torchsummary,,,,['pytorch'],4103.0,3985.0,https://pypi.org/project/torchsummary,2018-09-26 05:07:28.000000,118.0,69017.0,69017.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n289,TensorForce,tensorforce/tensorforce,,reinforcement-learning,https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22.000000,2021-12-29 14:54:33.000000,2021-12-29 14:54:33.000000,512,7.0,618.0,3067.0,2092.0,Tensorforce: a TensorFlow library for applied reinforcement learning.,82.0,26,True,2021-08-30 20:20:58.000000,0.6.5,14.0,tensorforce,,,,['tensorflow'],46.0,,https://pypi.org/project/tensorforce,2019-09-07 13:56:18.000000,46.0,1255.0,1255.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n290,deepface,serengil/deepface,,image,https://github.com/serengil/deepface,https://github.com/serengil/deepface,MIT,2020-02-08 20:42:28.000000,2021-12-27 11:18:37.000000,2021-12-27 11:18:37.000000,661,7.0,365.0,2936.0,667.0,\"A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python.\",19.0,26,True,2021-08-20 15:03:44.000000,0.0.68,67.0,deepface,,,,,351.0,351.0,https://pypi.org/project/deepface,2021-08-20 15:03:44.000000,0.0,40070.0,40070.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n291,VisPy,vispy/vispy,,data-viz,https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22.000000,2021-12-17 13:12:22.000000,2021-12-10 15:33:59.000000,582,289.0,1014.0,2780.0,,High-performance interactive 2D/3D data visualization library.,166.0,26,True,2021-11-24 17:23:39.000000,0.9.4,27.0,vispy,conda-forge/vispy,,,['jupyter'],774.0,652.0,https://pypi.org/project/vispy,2021-11-24 16:27:44.000000,122.0,42435.0,46408.0,https://anaconda.org/conda-forge/vispy,2021-11-24 21:55:08.590000,198160.0,,,,,3.0,,,,vispy,https://www.npmjs.com/package/vispy,2020-03-15 14:39:41.516000,,10.0,,,,,,,,,,,,,\n292,Sumy,miso-belica/sumy,,nlp,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48.000000,2021-11-23 21:07:29.000000,2021-11-23 21:07:29.000000,462,15.0,80.0,2720.0,,Module for automatic summarization of text documents and HTML pages.,21.0,26,True,2021-10-21 17:24:42.000000,0.9.0,14.0,sumy,,,,,1247.0,1055.0,https://pypi.org/project/sumy,2021-10-21 17:24:42.000000,192.0,20614.0,20614.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n293,aubio,aubio/aubio,,audio,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44.000000,2021-12-29 17:17:28.000000,2021-12-29 16:43:47.000000,335,126.0,175.0,2614.0,4122.0,a library for audio and music analysis.,24.0,26,False,2019-02-27 09:00:43.000000,0.4.9,10.0,aubio,conda-forge/aubio,,,,312.0,276.0,https://pypi.org/project/aubio,2019-02-08 11:21:02.000000,36.0,4769.0,13191.0,https://anaconda.org/conda-forge/aubio,2021-11-09 17:08:03.654000,480074.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n294,implicit,benfred/implicit,,recommender-systems,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000000,2021-12-23 19:56:59.000000,2021-12-23 19:27:20.000000,509,89.0,286.0,2576.0,,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,30.0,26,True,2021-08-29 04:23:02.000000,0.4.8,38.0,implicit,conda-forge/implicit,,,,568.0,524.0,https://pypi.org/project/implicit,2021-08-29 04:23:02.000000,44.0,115679.0,122562.0,https://anaconda.org/conda-forge/implicit,2021-08-29 07:42:53.163000,323544.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n295,Flax,google/flax,,ml-frameworks,https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000000,2021-12-30 05:13:18.000000,2021-12-24 10:53:15.000000,269,166.0,277.0,2490.0,,Flax is a neural network library for JAX that is designed for flexibility.,123.0,26,True,2021-10-27 21:00:51.000000,0.3.6,15.0,flax,,,,['jax'],587.0,581.0,https://pypi.org/project/flax,2021-10-27 21:00:51.000000,6.0,311704.0,311705.0,,,,,,,,3.0,-1.0,31.0,,,,,,,,,,,,,,,,,,,\n296,eli5,TeamHG-Memex/eli5,,interpretability,https://github.com/TeamHG-Memex/eli5,https://github.com/TeamHG-Memex/eli5,MIT,2016-09-15 01:04:57.000000,2021-06-10 22:02:56.000000,2020-01-22 07:39:36.000000,313,153.0,111.0,2484.0,1198.0,A library for debugging/inspecting machine learning classifiers and explaining their predictions.,14.0,26,False,2021-01-23 14:25:24.000000,0.11.0,28.0,eli5,conda-forge/eli5,,,,110.0,,https://pypi.org/project/eli5,2021-01-23 14:25:24.000000,110.0,1536376.0,1538315.0,https://anaconda.org/conda-forge/eli5,2021-01-25 08:24:59.385000,106696.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n297,StellarGraph,stellargraph/stellargraph,,graph,https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51.000000,2021-12-25 02:26:17.000000,2021-10-29 06:15:49.000000,328,249.0,734.0,2238.0,2515.0,StellarGraph - Machine Learning on Graphs.,36.0,26,True,2020-06-30 05:15:21.000000,1.2.1,25.0,stellargraph,,,,['tensorflow'],108.0,104.0,https://pypi.org/project/stellargraph,2020-06-30 05:10:43.000000,4.0,12467.0,12467.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n298,BoTorch,pytorch/botorch,,hyperopt,https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000000,2021-12-30 03:07:41.000000,2021-12-30 03:07:39.000000,233,57.0,180.0,2154.0,,Bayesian optimization in PyTorch.,66.0,26,True,2021-12-09 01:25:08.000000,0.6.0,19.0,botorch,,,,['pytorch'],194.0,194.0,https://pypi.org/project/botorch,2021-12-09 01:25:08.000000,0.0,122248.0,122248.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n299,ipyparallel,ipython/ipyparallel,,distributed-ml,https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,BSD-3-Clause,2015-04-09 07:43:55.000000,2021-12-30 11:47:15.000000,2021-12-28 14:27:18.000000,851,49.0,263.0,2133.0,,IPython Parallel: Interactive Parallel Computing in Python.,104.0,26,True,2021-11-12 13:31:42.000000,8.0.0,36.0,ipyparallel,conda-forge/ipyparallel,,,['jupyter'],2261.0,1771.0,https://pypi.org/project/ipyparallel,2021-12-22 08:42:58.000000,490.0,47588.0,55601.0,https://anaconda.org/conda-forge/ipyparallel,2021-12-23 14:25:42.627000,544918.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n300,Foolbox,bethgelab/foolbox,,adversarial,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48.000000,2021-11-10 19:47:32.000000,2021-06-05 09:38:18.000000,371,61.0,269.0,2117.0,1648.0,\"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.\",32.0,26,True,2021-02-23 07:09:34.000000,3.3.1,68.0,foolbox,,,,,274.0,256.0,https://pypi.org/project/foolbox,2021-02-23 07:07:53.000000,18.0,2686.0,2686.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n301,Hyperas,maxpumperla/hyperas,,hyperopt,https://github.com/maxpumperla/hyperas,https://github.com/maxpumperla/hyperas,MIT,2016-02-19 14:45:10.000000,2021-11-19 13:23:59.000000,2021-11-19 13:23:56.000000,305,90.0,158.0,2113.0,211.0,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,21.0,26,True,2019-02-28 09:16:54.000000,0.4.1,9.0,hyperas,,,,['tensorflow'],265.0,223.0,https://pypi.org/project/hyperas,2019-02-28 09:16:54.000000,42.0,13011.0,13011.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n302,PyFunctional,EntilZha/PyFunctional,,data-pipelines,https://github.com/EntilZha/PyFunctional,https://github.com/EntilZha/PyFunctional,MIT,2015-02-05 17:17:51.000000,2021-11-26 14:50:52.000000,2021-11-05 18:58:53.000000,107,5.0,119.0,1952.0,520.0,Python library for creating data pipelines with chain functional programming.,25.0,26,True,2021-01-12 19:21:07.000000,1.4.3,14.0,pyfunctional,,,,,374.0,374.0,https://pypi.org/project/pyfunctional,2021-01-12 19:14:48.000000,0.0,73066.0,73066.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n303,tslearn,tslearn-team/tslearn,,time-series-data,https://github.com/tslearn-team/tslearn,https://github.com/tslearn-team/tslearn,BSD-2-Clause,2017-05-04 13:08:13.000000,2021-12-20 11:06:19.000000,2021-12-06 15:56:44.000000,246,69.0,178.0,1922.0,,A machine learning toolkit dedicated to time-series data.,36.0,26,True,2021-08-16 07:09:52.000000,0.5.2,94.0,tslearn,conda-forge/tslearn,,,['sklearn'],389.0,367.0,https://pypi.org/project/tslearn,2021-08-16 07:29:50.000000,22.0,110887.0,116327.0,https://anaconda.org/conda-forge/tslearn,2021-08-16 11:07:26.939000,244840.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n304,langid,saffsd/langid.py,,nlp,https://github.com/saffsd/langid.py,https://github.com/saffsd/langid.py,BSD-3-Clause,2011-04-29 00:16:56.000000,2020-01-01 10:49:30.000000,2017-07-15 02:49:17.000000,276,26.0,45.0,1896.0,242.0,Stand-alone language identification system.,9.0,26,False,2016-04-05 22:34:15.000000,1.1.6,8.0,langid,,,,,1125.0,875.0,https://pypi.org/project/langid,2016-04-05 22:34:15.000000,250.0,327656.0,327656.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n305,TextAttack,QData/TextAttack,,adversarial,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000000,2021-12-16 02:24:09.000000,2021-12-16 02:24:09.000000,214,39.0,151.0,1786.0,2403.0,\"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP..\",46.0,26,True,2021-11-10 01:36:28.000000,0.3.4,42.0,textattack,,,,,48.0,48.0,https://pypi.org/project/textattack,2021-11-10 01:36:28.000000,0.0,3805.0,3805.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n306,mtcnn,ipazc/mtcnn,,image,https://github.com/ipazc/mtcnn,https://github.com/ipazc/mtcnn,MIT,2018-01-05 04:08:32.000000,2021-11-22 17:31:06.000000,2021-07-09 11:06:18.000000,430,62.0,37.0,1692.0,56.0,\"MTCNN face detection implementation for TensorFlow, as a PIP package.\",15.0,26,True,2021-07-09 11:16:39.000000,0.1.1,11.0,mtcnn,,,,['tensorflow'],1826.0,1784.0,https://pypi.org/project/mtcnn,2021-07-09 11:16:39.000000,42.0,34948.0,34948.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n307,Ax,facebook/Ax,,hyperopt,https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000000,2021-12-30 06:42:24.000000,2021-12-30 02:47:40.000000,180,39.0,303.0,1665.0,,Adaptive Experimentation Platform.,108.0,26,True,2021-12-16 18:07:17.000000,0.2.3,25.0,ax-platform,,,,['pytorch'],230.0,226.0,https://pypi.org/project/ax-platform,2021-12-16 18:07:17.000000,4.0,94744.0,94744.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n308,Elephas,maxpumperla/elephas,,distributed-ml,https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19.000000,2021-11-18 11:51:00.000000,2021-08-17 01:01:38.000000,290,25.0,137.0,1523.0,501.0,Distributed Deep learning with Keras & Spark.,27.0,26,True,2021-08-17 01:14:44.000000,3.0.0,22.0,elephas,,,,\"['keras', 'spark']\",55.0,52.0,https://pypi.org/project/elephas,2021-08-17 00:36:20.000000,3.0,24007.0,24007.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n309,shapash,MAIF/shapash,,interpretability,https://github.com/MAIF/shapash,https://github.com/MAIF/shapash,Apache-2.0,2020-04-29 07:34:23.000000,2021-12-21 15:57:51.000000,2021-12-21 15:57:51.000000,201,10.0,85.0,1505.0,957.0,Shapash makes Machine Learning models transparent and understandable by everyone.,31.0,26,True,2021-12-06 14:50:36.000000,1.6.0,16.0,shapash,,,,['jupyter'],55.0,55.0,https://pypi.org/project/shapash,2021-12-06 14:50:36.000000,,14963.0,14963.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n310,ViZDoom,mwydmuch/ViZDoom,,reinforcement-learning,https://github.com/mwydmuch/ViZDoom,https://github.com/mwydmuch/ViZDoom,MIT,2015-06-26 18:38:23.000000,2021-12-13 14:31:49.000000,2021-12-13 14:31:38.000000,311,89.0,343.0,1306.0,1522.0,Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information.,45.0,26,True,2021-11-22 11:15:55.000000,1.1.11,22.0,vizdoom,,,,,142.0,118.0,https://pypi.org/project/vizdoom,2021-11-22 11:16:41.000000,24.0,969.0,1134.0,,,,,,,,2.0,,11410.0,,,,,,,,,,,,,,,,,,,\n311,metric-learn,scikit-learn-contrib/metric-learn,,others,https://github.com/scikit-learn-contrib/metric-learn,https://github.com/scikit-learn-contrib/metric-learn,MIT,2013-11-02 08:29:47.000000,2021-12-29 13:03:59.000000,2021-11-17 13:54:36.000000,216,52.0,117.0,1205.0,280.0,Metric learning algorithms in Python.,21.0,26,True,2020-07-02 12:59:23.000000,0.6.2,10.0,metric-learn,,,,['sklearn'],200.0,182.0,https://pypi.org/project/metric-learn,2020-07-02 12:59:23.000000,18.0,8972.0,8972.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n312,ArcGIS API,Esri/arcgis-python-api,,geospatial-data,https://github.com/Esri/arcgis-python-api,https://github.com/Esri/arcgis-python-api,Apache-2.0,2016-03-16 01:09:14.000000,2021-12-30 11:39:13.000000,2021-12-09 07:41:07.000000,829,112.0,291.0,1189.0,3318.0,Documentation and samples for ArcGIS API for Python.,73.0,26,True,2021-10-04 20:36:31.000000,1.9.1,31.0,arcgis,,esridocker/arcgis-api-python-notebook,,,20.0,,https://pypi.org/project/arcgis,2021-10-04 17:20:11.000000,20.0,54372.0,54469.0,,,,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,2021-10-05 23:20:06.966942,33.0,5436.0,3.0,,1207.0,,,,,,,,,,,,,,,,,,,\n313,TabPy,tableau/TabPy,,others,https://github.com/tableau/TabPy,https://github.com/tableau/TabPy,MIT,2016-09-27 21:26:03.000000,2021-11-24 19:05:40.000000,2021-10-11 22:49:25.000000,437,16.0,275.0,1177.0,842.0,Execute Python code on the fly and display results in Tableau visualizations:.,43.0,26,True,2021-08-20 14:18:35.000000,2.4.0,25.0,tabpy,,,,,79.0,79.0,https://pypi.org/project/tabpy,2021-08-20 14:18:35.000000,0.0,20452.0,20452.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n314,PennyLane,PennyLaneAI/PennyLane,,others,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000000,2021-12-30 14:18:05.000000,2021-12-23 09:38:58.000000,327,154.0,438.0,1117.0,2294.0,PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum..,86.0,26,True,2021-12-14 07:48:23.000000,0.20.0,30.0,pennylane,,,,,20.0,,https://pypi.org/project/pennylane,2021-12-14 07:48:23.000000,20.0,9153.0,9154.0,,,,,,,,2.0,,59.0,,,,,,,,,,,,,,,,,,,\n315,spacy-transformers,explosion/spacy-transformers,,nlp,https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000000,2021-12-16 08:05:17.000000,2021-12-16 08:05:17.000000,134,,,1063.0,1385.0,\"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.\",18.0,26,True,2021-12-07 09:10:50.000000,1.1.3,57.0,spacy-transformers,,,,['spacy'],353.0,347.0,https://pypi.org/project/spacy-transformers,2021-12-07 09:10:08.000000,6.0,69092.0,69092.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n316,fancyimpute,iskandr/fancyimpute,,sklearn-utils,https://github.com/iskandr/fancyimpute,https://github.com/iskandr/fancyimpute,Apache-2.0,2015-11-05 23:39:34.000000,2021-10-21 17:50:40.000000,2021-10-21 17:45:17.000000,161,1.0,111.0,1022.0,202.0,Multivariate imputation and matrix completion algorithms implemented in Python.,12.0,26,True,2021-10-21 17:50:40.000000,0.7.0,29.0,fancyimpute,,,,['sklearn'],1151.0,1109.0,https://pypi.org/project/fancyimpute,2021-10-21 17:50:40.000000,42.0,10059.0,10059.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n317,ktrain,amaiya/ktrain,,ml-frameworks,https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39.000000,2021-12-28 16:38:23.000000,2021-11-23 15:55:56.000000,224,6.0,374.0,931.0,2545.0,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,12.0,26,True,2021-11-05 20:42:40.000000,0.28.3,161.0,ktrain,,,,['tensorflow'],249.0,247.0,https://pypi.org/project/ktrain,2021-11-05 20:30:43.000000,2.0,27460.0,27460.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n318,pingouin,raphaelvallat/pingouin,,probabilistics,https://github.com/raphaelvallat/pingouin,https://github.com/raphaelvallat/pingouin,GPL-3.0,2018-04-01 01:10:22.000000,2021-12-08 18:19:29.000000,2021-12-08 18:19:29.000000,77,24.0,155.0,874.0,1160.0,Statistical package in Python based on Pandas.,23.0,26,False,2021-10-28 22:09:53.000000,0.5.0,35.0,pingouin,conda-forge/pingouin,,,,425.0,415.0,https://pypi.org/project/pingouin,2021-10-28 21:59:14.000000,10.0,62692.0,64059.0,https://anaconda.org/conda-forge/pingouin,2021-10-29 00:37:42.640000,49228.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n319,Nilearn,nilearn/nilearn,,medical-data,https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000000,2021-12-30 10:39:17.000000,2021-12-20 19:49:24.000000,438,270.0,1279.0,794.0,,Machine learning for NeuroImaging in Python.,177.0,26,True,2021-09-16 14:49:56.000000,0.8.1,38.0,nilearn,conda-forge/nilearn,,,['sklearn'],1636.0,1334.0,https://pypi.org/project/nilearn,2021-09-16 14:47:18.000000,302.0,17800.0,19793.0,https://anaconda.org/conda-forge/nilearn,2021-09-16 18:04:31.312000,133439.0,,,,,2.0,,14.0,,,,,,,,,,,,,,,,,,,\n320,Hail,hail-is/hail,,medical-data,https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000000,2021-12-27 17:43:15.000000,2021-12-27 17:43:15.000000,199,55.0,1967.0,768.0,7617.0,Scalable genomic data analysis.,76.0,26,True,2021-12-21 01:54:07.000000,0.2.81,101.0,hail,,,,['spark'],46.0,46.0,https://pypi.org/project/hail,2021-12-21 01:54:07.000000,0.0,13028.0,13028.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n321,CLTK,cltk/cltk,,nlp,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000000,2021-12-13 21:01:00.000000,2021-10-21 22:56:32.000000,301,121.0,489.0,696.0,3592.0,The Classical Language Toolkit.,113.0,26,True,2021-10-17 05:32:29.000000,1.0.21,191.0,cltk,,,,,255.0,187.0,https://pypi.org/project/cltk,2021-10-17 05:32:29.000000,68.0,1399.0,1399.0,,,,,,,,2.0,,22.0,,,,,,,,,,,,,,,,,,,\n322,SMAC3,automl/SMAC3,,hyperopt,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-3-Clause,2016-08-17 10:58:05.000000,2021-12-22 21:59:04.000000,2021-11-05 09:44:04.000000,170,67.0,287.0,641.0,2048.0,Sequential Model-based Algorithm Configuration.,38.0,26,True,2021-10-21 07:38:01.000000,1.1.0,34.0,smac,,,,,58.0,,https://pypi.org/project/smac,2021-11-05 10:44:49.000000,58.0,24515.0,24515.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n323,SALib,SALib/SALib,,probabilistics,https://github.com/SALib/SALib,https://github.com/SALib/SALib,MIT,2013-05-30 13:38:10.000000,2021-12-19 00:40:31.000000,2021-12-19 00:40:25.000000,169,49.0,220.0,555.0,965.0,\"Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.\",34.0,26,True,2021-09-04 09:49:51.000000,1.4.5,40.0,salib,conda-forge/salib,,,,44.0,,https://pypi.org/project/salib,2021-09-04 05:27:03.000000,44.0,84179.0,85398.0,https://anaconda.org/conda-forge/salib,2021-09-04 07:03:28.179000,74411.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n324,mpi4py,mpi4py/mpi4py,,distributed-ml,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-2-Clause,2013-09-05 14:44:25.000000,2021-12-25 22:38:09.000000,2021-12-25 12:34:16.000000,74,13.0,47.0,492.0,2447.0,Python bindings for MPI.,20.0,26,True,2021-11-25 21:07:13.000000,3.1.3,20.0,mpi4py,conda-forge/mpi4py,,,,752.0,,https://pypi.org/project/mpi4py,2021-12-15 13:48:39.969000,752.0,350238.0,364262.0,https://anaconda.org/conda-forge/mpi4py,2021-11-25 23:30:14.783000,873004.0,,,,,2.0,,2846.0,,,,,,,,,,,,,,,,,,,\n325,spleeter,deezer/spleeter,,audio,https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000000,2021-12-08 16:06:40.000000,2021-12-08 16:06:40.000000,1949,107.0,510.0,18278.0,474.0,Deezer source separation library including pretrained models.,18.0,25,True,2021-09-03 09:59:00.000000,2.3.0,34.0,spleeter,conda-forge/spleeter,,,['tensorflow'],0.0,,https://pypi.org/project/spleeter,2021-09-03 09:55:50.000000,0.0,10325.0,65003.0,https://anaconda.org/conda-forge/spleeter,2020-06-30 14:33:43.220000,61659.0,,,,,2.0,,1357536.0,,,,,,,,,,,,,,,,,,,\n326,pysc2,deepmind/pysc2,,others,https://github.com/deepmind/pysc2,https://github.com/deepmind/pysc2,Apache-2.0,2017-07-25 18:16:57.000000,2021-08-13 05:11:09.000000,2019-09-27 15:23:22.000000,1112,60.0,204.0,7395.0,513.0,StarCraft II Learning Environment.,34.0,25,False,2019-09-27 15:48:01.000000,3.0.0,7.0,pysc2,,,,,369.0,329.0,https://pypi.org/project/pysc2,2019-09-27 15:48:01.000000,40.0,1404.0,1938.0,,,,,,,,2.0,,27804.0,,,,,,,,,,,,,,,,,,,\n327,Vaex,vaexio/vaex,,data-containers,https://github.com/vaexio/vaex,https://github.com/vaexio/vaex,MIT,2014-09-27 09:44:42.000000,2021-12-30 12:48:14.043000,2021-12-28 10:49:26.000000,530,357.0,613.0,6814.0,3368.0,\"Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualize and explore big tabular data at a billion..\",62.0,25,True,2021-12-18 13:46:32.000000,4.7.0,57.0,vaex,conda-forge/vaex,,,,4.0,,https://pypi.org/project/vaex,2021-12-18 13:46:32.000000,4.0,19087.0,21030.0,https://anaconda.org/conda-forge/vaex,2021-12-30 12:48:14.043000,120347.0,,,,,3.0,,220.0,,,,,,,,,,,,,,,,,,,\n328,Trax,google/trax,,others,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000000,2021-12-23 23:40:31.000000,2021-12-23 23:40:26.000000,667,83.0,120.0,6688.0,1591.0,Trax Deep Learning with Clear Code and Speed.,74.0,25,True,2021-10-26 20:29:38.000000,1.4.1,24.0,trax,,,,,40.0,40.0,https://pypi.org/project/trax,2021-10-26 20:27:35.000000,,4166.0,4166.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n329,Great Expectations,great-expectations/great_expectations,,data-pipelines,https://github.com/great-expectations/great_expectations,https://github.com/great-expectations/great_expectations,Apache-2.0,2017-09-11 00:18:46.000000,2021-12-30 07:40:39.000000,2021-12-29 16:33:06.000000,793,194.0,991.0,5853.0,,Always know what to expect from your data.,254.0,25,True,2021-12-24 01:26:59.000000,0.13.49,139.0,great_expectations,,,,,6.0,,https://pypi.org/project/great_expectations,2021-12-24 01:23:09.000000,6.0,2456798.0,2456798.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n330,Face Alignment,1adrianb/face-alignment,,image,https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44.000000,2021-12-21 17:46:18.000000,2021-08-04 06:54:21.000000,1133,51.0,215.0,5439.0,205.0,2D and 3D Face alignment library build using pytorch.,23.0,25,True,2021-09-14 15:35:24.000000,1.3.5,11.0,face-alignment,,,,['pytorch'],12.0,,https://pypi.org/project/face-alignment,2021-09-14 15:35:24.000000,12.0,7820.0,7820.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n331,keras-rl,keras-rl/keras-rl,,reinforcement-learning,https://github.com/keras-rl/keras-rl,https://github.com/keras-rl/keras-rl,MIT,2016-07-02 15:53:12.000000,2020-11-20 07:32:13.000000,2019-11-11 22:14:54.000000,1323,40.0,219.0,5170.0,308.0,Deep Reinforcement Learning for Keras.,40.0,25,False,2018-06-01 07:52:24.000000,0.4.2,8.0,keras-rl,,,,['tensorflow'],645.0,543.0,https://pypi.org/project/keras-rl,2018-06-01 07:52:24.000000,102.0,2561.0,2561.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n332,Edward,blei-lab/edward,,probabilistics,https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05.000000,2019-10-22 20:30:48.000000,2018-07-25 01:28:08.000000,767,212.0,328.0,4679.0,1796.0,\"A probabilistic programming language in TensorFlow. Deep generative models, variational inference.\",87.0,25,False,2018-01-22 06:03:37.000000,1.3.5,28.0,edward,,,,['tensorflow'],327.0,249.0,https://pypi.org/project/edward,2018-01-22 06:03:05.000000,78.0,3202.0,3202.0,,,,,,,,3.0,,15.0,,,,,,,,,,,,,,,,,,,\n333,mlpack,mlpack/mlpack,,ml-frameworks,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59.000000,2021-12-30 11:14:41.000000,2021-12-15 06:18:01.000000,1377,103.0,1337.0,3863.0,27254.0,mlpack: a scalable C++ machine learning library --.,281.0,25,True,2020-10-28 18:28:47.000000,3.4.2,40.0,mlpack,conda-forge/mlpack,,,,0.0,,https://pypi.org/project/mlpack,2020-10-28 18:28:47.000000,0.0,216.0,2568.0,https://anaconda.org/conda-forge/mlpack,2021-11-09 18:05:21.719000,96464.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n334,vaderSentiment,cjhutto/vaderSentiment,,nlp,https://github.com/cjhutto/vaderSentiment,https://github.com/cjhutto/vaderSentiment,MIT,2014-11-17 16:31:45.000000,2021-06-15 23:12:57.000000,2021-03-15 18:43:06.000000,821,33.0,74.0,3312.0,127.0,VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based..,10.0,25,True,2020-05-22 15:07:00.000000,3.3.2,15.0,vadersentiment,,,,,3616.0,3330.0,https://pypi.org/project/vadersentiment,2020-05-22 15:07:00.000000,286.0,201949.0,201949.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n335,D-Tale,man-group/dtale,,data-viz,https://github.com/man-group/dtale,https://github.com/man-group/dtale,LGPL-2.1,2019-07-15 09:34:48.000000,2021-12-28 15:45:59.000000,2021-12-18 04:17:25.000000,222,39.0,399.0,2885.0,544.0,Visualizer for pandas data structures.,19.0,25,True,2021-11-18 04:17:35.000000,1.61.1,141.0,dtale,conda-forge/dtale,,,\"['pandas', 'jupyter']\",275.0,275.0,https://pypi.org/project/dtale,2021-11-18 04:17:35.000000,0.0,46581.0,51168.0,https://anaconda.org/conda-forge/dtale,2021-11-18 04:41:08.411000,100925.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n336,facenet-pytorch,timesler/facenet-pytorch,,image,https://github.com/timesler/facenet-pytorch,https://github.com/timesler/facenet-pytorch,MIT,2019-05-25 01:29:24.000000,2021-12-13 14:59:32.000000,2021-12-13 12:07:11.000000,549,54.0,89.0,2594.0,235.0,Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models.,14.0,25,True,2021-03-10 01:00:20.000000,2.5.2,31.0,facenet-pytorch,,,,['pytorch'],589.0,583.0,https://pypi.org/project/facenet-pytorch,2021-03-10 01:00:20.000000,6.0,12685.0,19805.0,,,,,,,,3.0,,178023.0,,,,,,,,,,,,,,,,,,,\n337,causalml,uber/causalml,,others,https://github.com/uber/causalml,https://github.com/uber/causalml,Apache-2.0,2019-07-09 02:08:58.000000,2021-12-30 00:10:41.000000,2021-12-19 04:44:27.000000,385,48.0,196.0,2537.0,395.0,Uplift modeling and causal inference with machine learning algorithms.,31.0,25,True,2021-08-02 20:49:15.000000,0.11.1,15.0,causalml,,,,,33.0,33.0,https://pypi.org/project/causalml,2021-08-02 20:49:15.000000,0.0,44246.0,44246.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n338,Neural Network Libraries,sony/nnabla,,ml-frameworks,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10.000000,2021-12-27 03:04:43.000000,2021-12-23 08:34:28.000000,313,32.0,44.0,2515.0,2955.0,Neural Network Libraries.,64.0,25,True,2021-12-27 03:07:05.000000,1.24.0,61.0,nnabla,,,,,34.0,,https://pypi.org/project/nnabla,2021-12-23 06:28:19.000000,34.0,4356.0,4366.0,,,,,,,,3.0,,533.0,,,,,,,,,,,,,,,,,,,\n339,PandasGUI,adamerose/pandasgui,,data-viz,https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT,2019-06-12 02:19:42.000000,2021-12-23 17:52:55.000000,2021-12-23 17:52:55.000000,155,33.0,112.0,2498.0,710.0,A GUI for Pandas DataFrames.,11.0,25,True,2021-08-14 09:14:51.000000,0.2.13,43.0,pandasgui,,,,['pandas'],122.0,120.0,https://pypi.org/project/pandasgui,2021-08-14 09:14:51.000000,2.0,9997.0,9997.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n340,neuralcoref,huggingface/neuralcoref,,nlp,https://github.com/huggingface/neuralcoref,https://github.com/huggingface/neuralcoref,MIT,2017-07-03 13:04:16.000000,2021-10-10 04:28:21.000000,2021-06-22 10:51:48.000000,423,60.0,228.0,2457.0,116.0,Fast Coreference Resolution in spaCy with Neural Networks.,21.0,25,True,2019-04-08 11:28:27.000000,4.0.0,5.0,neuralcoref,conda-forge/neuralcoref,,,,452.0,434.0,https://pypi.org/project/neuralcoref,2019-04-08 09:56:00.000000,18.0,51914.0,52392.0,https://anaconda.org/conda-forge/neuralcoref,2020-02-21 22:10:40.453000,10414.0,,,,,2.0,,297.0,,,,,,,,,,,,,,,,,,,\n341,analytics-zoo,intel-analytics/analytics-zoo,,distributed-ml,https://github.com/intel-analytics/analytics-zoo,https://github.com/intel-analytics/analytics-zoo,Apache-2.0,2017-05-05 02:27:30.000000,2021-12-29 23:48:41.000000,2021-12-27 08:10:47.000000,706,557.0,839.0,2453.0,3417.0,\"Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray.\",105.0,25,True,2021-12-23 06:52:03.000000,0.11.1,196.0,analytics-zoo,,,,['spark'],3.0,3.0,https://pypi.org/project/analytics-zoo,2021-12-29 23:48:41.000000,,9254.0,9254.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n342,fastNLP,fastnlp/fastNLP,,nlp,https://github.com/fastnlp/fastNLP,https://github.com/fastnlp/fastNLP,Apache-2.0,2018-03-07 13:30:20.000000,2021-12-06 12:23:20.000000,2021-12-06 11:37:15.000000,401,35.0,143.0,2452.0,1769.0,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,54.0,25,True,2020-11-06 15:31:29.000000,0.6.0,10.0,fastnlp,,,,,55.0,53.0,https://pypi.org/project/fastnlp,2019-02-04 02:35:37.000000,2.0,1640.0,1641.0,,,,,,,,2.0,,65.0,,,,,,,,,,,,,,,,,,,\n343,Acme,deepmind/acme,,reinforcement-learning,https://github.com/deepmind/acme,https://github.com/deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000000,2021-12-23 09:38:15.000000,2021-12-22 10:49:55.000000,292,44.0,108.0,2450.0,665.0,A library of reinforcement learning components and agents.,53.0,25,True,2021-12-23 09:38:15.000000,0.3.0,13.0,dm-acme,,,,['tensorflow'],47.0,47.0,https://pypi.org/project/dm-acme,2021-12-09 12:31:13.000000,0.0,2417.0,2417.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n344,scikit-plot,reiinakano/scikit-plot,,interpretability,https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59.000000,2021-08-11 23:58:11.000000,2018-08-19 12:37:47.000000,256,21.0,39.0,2163.0,130.0,An intuitive library to add plotting functionality to scikit-learn objects.,13.0,25,False,2018-08-19 12:21:01.000000,0.3.7,27.0,scikit-plot,conda-forge/scikit-plot,,,['sklearn'],1621.0,1567.0,https://pypi.org/project/scikit-plot,2018-08-19 12:18:46.000000,54.0,304019.0,305975.0,https://anaconda.org/conda-forge/scikit-plot,2019-06-05 14:23:59.043000,103699.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n345,Alphalens,quantopian/alphalens,,financial-data,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15.000000,2021-12-05 06:35:06.000000,2020-04-27 18:40:41.000000,796,38.0,145.0,2142.0,522.0,Performance analysis of predictive (alpha) stock factors.,25.0,25,False,2020-04-30 15:42:52.000000,0.4.0,10.0,alphalens,conda-forge/alphalens,,,,502.0,474.0,https://pypi.org/project/alphalens,2020-04-27 21:03:10.000000,28.0,2634.0,2938.0,https://anaconda.org/conda-forge/alphalens,2020-05-16 13:52:44.922000,14018.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n346,python_speech_features,jameslyons/python_speech_features,,audio,https://github.com/jameslyons/python_speech_features,https://github.com/jameslyons/python_speech_features,MIT,2013-10-31 02:42:08.000000,2021-10-20 10:08:48.000000,2020-12-31 13:27:01.000000,575,23.0,51.0,2016.0,120.0,This library provides common speech features for ASR including MFCCs and filterbank energies.,19.0,25,True,2020-01-14 14:12:10.000000,0.6.1,6.0,python_speech_features,,,,,300.0,,https://pypi.org/project/python_speech_features,2017-08-16 01:46:13.000000,300.0,119008.0,119008.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n347,pandas-ta,twopirllc/pandas-ta,,probabilistics,https://github.com/twopirllc/pandas-ta,https://github.com/twopirllc/pandas-ta,MIT,2019-02-19 16:41:09.000000,2021-12-25 00:06:16.000000,2021-11-16 21:57:10.000000,450,57.0,273.0,1996.0,,Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators.,44.0,25,True,2021-07-28 20:21:21.000000,0.3.14,19.0,pandas-ta,,,,['pandas'],359.0,359.0,https://pypi.org/project/pandas-ta,2021-07-28 20:51:17.000000,0.0,36975.0,36975.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n348,pgmpy,pgmpy/pgmpy,,probabilistics,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000000,2021-12-04 18:46:10.000000,2021-12-04 18:46:09.000000,612,212.0,549.0,1951.0,6.0,\"Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in..\",101.0,25,True,2021-09-30 16:00:43.000000,0.1.16,15.0,pgmpy,,,,,311.0,299.0,https://pypi.org/project/pgmpy,2021-09-30 15:45:27.000000,12.0,58677.0,58683.0,,,,,,,,3.0,,117.0,,,,,,,,,,,,,,,,,,,\n349,polyglot,aboSamoor/polyglot,,nlp,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,GPL-3.0,2014-06-30 02:07:45.000000,2021-04-28 03:41:03.000000,2020-09-22 22:35:28.000000,310,147.0,64.0,1936.0,271.0,Multilingual text (NLP) processing toolkit.,26.0,25,False,2016-07-03 20:05:42.000000,16.7.4,9.0,polyglot,,,,,758.0,628.0,https://pypi.org/project/polyglot,2016-07-03 20:05:42.000000,130.0,79980.0,79980.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n350,Pandaral·lel,nalepae/pandarallel,,data-containers,https://github.com/nalepae/pandarallel,https://github.com/nalepae/pandarallel,BSD-3-Clause,2019-03-10 11:58:29.000000,2021-10-17 19:32:08.000000,2021-10-17 19:29:29.000000,124,77.0,65.0,1909.0,128.0,A simple and efficient tool to parallelize Pandas operations on all availableCPUs.,18.0,25,True,2021-10-17 19:32:08.000000,1.5.4,31.0,pandarallel,,,,\"['pandas', 'jupyter']\",365.0,365.0,https://pypi.org/project/pandarallel,2021-10-17 19:32:08.000000,0.0,194829.0,194829.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n351,swifter,jmcarpenter2/swifter,,data-containers,https://github.com/jmcarpenter2/swifter,https://github.com/jmcarpenter2/swifter,MIT,2018-04-07 21:37:19.000000,2021-12-20 13:16:09.000000,2021-06-25 21:30:09.000000,86,23.0,83.0,1857.0,427.0,A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner.,14.0,25,True,2021-06-25 21:31:10.000000,1.0.9,73.0,swifter,conda-forge/swifter,,,['pandas'],480.0,448.0,https://pypi.org/project/swifter,2021-06-25 21:31:10.000000,32.0,98344.0,102268.0,https://anaconda.org/conda-forge/swifter,2021-06-26 01:03:15.021000,125573.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n352,scattertext,JasonKessler/scattertext,,nlp,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12.000000,2021-11-15 13:11:26.058000,2021-11-15 03:48:32.000000,233,17.0,66.0,1731.0,356.0,Beautiful visualizations of how language differs among document types.,12.0,25,True,2021-11-15 04:01:17.000000,0.1.5,134.0,scattertext,conda-forge/scattertext,,,,269.0,253.0,https://pypi.org/project/scattertext,2021-11-15 04:01:17.000000,16.0,3003.0,4141.0,https://anaconda.org/conda-forge/scattertext,2021-11-15 13:11:26.058000,59189.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n353,IB-insync,erdewit/ib_insync,,financial-data,https://github.com/erdewit/ib_insync,https://github.com/erdewit/ib_insync,BSD-2-Clause,2017-07-12 12:09:24.000000,2021-12-23 00:09:14.000000,2021-11-28 19:31:51.000000,462,4.0,355.0,1656.0,616.0,Python sync/async framework for Interactive Brokers API.,29.0,25,True,2021-11-28 19:34:09.000000,0.9.70,95.0,ib_insync,conda-forge/ib-insync,,,,12.0,,https://pypi.org/project/ib_insync,2021-11-28 19:34:09.000000,12.0,8788.0,9267.0,https://anaconda.org/conda-forge/ib-insync,2021-11-29 01:17:29.243000,13905.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n354,chainercv,chainer/chainercv,,image,https://github.com/chainer/chainercv,https://github.com/chainer/chainercv,MIT,2017-02-13 04:15:10.000000,2021-07-01 16:54:50.000000,2020-01-07 11:48:31.000000,318,54.0,168.0,1464.0,4930.0,ChainerCV: a Library for Deep Learning in Computer Vision.,39.0,25,False,2019-06-12 11:55:02.000000,0.13.1,24.0,chainercv,,,,,335.0,275.0,https://pypi.org/project/chainercv,2019-06-12 11:55:40.000000,60.0,3441.0,3441.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n355,Alibi,SeldonIO/alibi,,interpretability,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Apache-2.0,2019-02-26 10:10:56.000000,2021-12-23 00:01:05.000000,2021-12-13 12:02:52.000000,161,102.0,146.0,1426.0,350.0,Algorithms for explaining machine learning models.,18.0,25,True,2021-11-18 13:42:16.000000,0.6.2,21.0,alibi,,,,,145.0,127.0,https://pypi.org/project/alibi,2021-11-18 13:40:41.000000,18.0,14315.0,14315.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n356,PyCUDA,inducer/pycuda,,gpu-utilities,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000000,2021-12-07 05:24:20.000000,2021-12-07 05:24:19.000000,244,65.0,153.0,1251.0,,\"CUDA integration for Python, plus shiny features.\",74.0,25,True,2019-08-12 04:15:37.000000,2019.1.2,47.0,pycuda,,,,,1404.0,1112.0,https://pypi.org/project/pycuda,2021-04-03 22:28:54.000000,292.0,37029.0,37029.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n357,ogb,snap-stanford/ogb,,graph,https://github.com/snap-stanford/ogb,https://github.com/snap-stanford/ogb,MIT,2019-11-22 22:13:57.000000,2021-12-06 08:19:01.000000,2021-12-06 08:19:01.000000,242,1.0,178.0,1189.0,576.0,\"Benchmark datasets, data loaders, and evaluators for graph machine learning.\",18.0,25,True,2021-09-29 04:42:13.000000,1.3.2,15.0,ogb,,,,,199.0,199.0,https://pypi.org/project/ogb,2021-09-29 04:33:43.000000,0.0,7702.0,7702.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n358,TF Recommenders,tensorflow/recommenders,,recommender-systems,https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01.000000,2021-12-27 23:13:24.000000,2021-12-22 22:07:19.000000,154,111.0,100.0,1149.0,,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,30.0,25,True,2021-08-23 23:29:59.000000,0.6.0,12.0,tensorflow-recommenders,,,,['tensorflow'],62.0,62.0,https://pypi.org/project/tensorflow-recommenders,2021-08-23 23:29:59.000000,0.0,210197.0,210197.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n359,livelossplot,stared/livelossplot,,ml-experiments,https://github.com/stared/livelossplot,https://github.com/stared/livelossplot,MIT,2018-03-10 17:51:43.000000,2021-10-12 11:52:57.000000,2021-10-12 11:52:20.000000,138,4.0,70.0,1147.0,328.0,\"Live training loss plot in Jupyter Notebook for Keras, PyTorch and others.\",17.0,25,True,2021-02-03 16:25:47.000000,0.5.4,24.0,livelossplot,,,,['jupyter'],708.0,698.0,https://pypi.org/project/livelossplot,2021-02-03 16:25:47.000000,10.0,70034.0,70034.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n360,tensorly,tensorly/tensorly,,others,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52.000000,2021-12-29 18:22:18.000000,2021-12-22 11:36:03.000000,223,45.0,128.0,1141.0,,TensorLy: Tensor Learning in Python.,49.0,25,True,2021-11-08 13:38:03.000000,0.7.0,18.0,tensorly,conda-forge/tensorly,,,,221.0,201.0,https://pypi.org/project/tensorly,2021-11-08 13:38:03.000000,20.0,5527.0,9994.0,https://anaconda.org/conda-forge/tensorly,2021-12-09 16:07:42.501000,192090.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n361,Streamz,python-streamz/streamz,,time-series-data,https://github.com/python-streamz/streamz,https://github.com/python-streamz/streamz,BSD-3-Clause,2017-04-04 21:45:49.000000,2021-12-24 18:36:59.000000,2021-12-24 18:36:59.000000,131,103.0,144.0,1015.0,781.0,Real-time stream processing for python.,45.0,25,True,2021-10-04 14:47:39.000000,0.6.3,16.0,streamz,conda-forge/streamz,,,,270.0,254.0,https://pypi.org/project/streamz,2021-10-04 14:47:39.000000,16.0,8804.0,13325.0,https://anaconda.org/conda-forge/streamz,2021-10-04 16:06:59.119000,230573.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n362,cartopy,SciTools/cartopy,,data-viz,https://github.com/SciTools/cartopy,https://github.com/SciTools/cartopy,LGPL-3.0,2012-08-03 07:43:59.000000,2021-12-25 07:12:31.000000,2021-12-24 23:27:20.000000,299,288.0,752.0,977.0,,Cartopy - a cartographic python library with matplotlib support.,106.0,25,False,2021-10-20 19:04:16.000000,0.20.1,24.0,cartopy,conda-forge/cartopy,,,,2421.0,2075.0,https://pypi.org/project/cartopy,2021-10-08 23:44:10.000000,346.0,114732.0,142110.0,https://anaconda.org/conda-forge/cartopy,2021-11-20 12:45:41.185000,1889133.0,,,,,3.0,-3.0,,,,,,,,,,,,,,,,,,,,\n363,PySAL,pysal/pysal,,geospatial-data,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42.000000,2021-10-18 18:27:28.000000,2021-10-18 18:27:28.000000,273,11.0,592.0,951.0,4136.0,PySAL: Python Spatial Analysis Library Meta-Package.,73.0,25,True,2021-08-01 00:14:07.000000,2.5.0,27.0,pysal,conda-forge/pysal,,,,36.0,,https://pypi.org/project/pysal,2021-08-01 00:14:07.000000,36.0,22776.0,29408.0,https://anaconda.org/conda-forge/pysal,2021-08-02 16:50:41.186000,431086.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n364,bcolz,Blosc/bcolz,,data-containers,https://github.com/Blosc/bcolz,https://github.com/Blosc/bcolz,BSD-3-Clause,2010-08-18 15:27:02.000000,2021-09-07 20:42:40.000000,2020-09-10 12:12:45.000000,134,133.0,122.0,936.0,1280.0,A columnar data container that can be compressed.,33.0,25,False,2018-04-13 07:44:26.000000,1.2.1,23.0,bcolz,conda-forge/bcolz,,,,2653.0,1685.0,https://pypi.org/project/bcolz,2018-04-13 07:44:26.000000,968.0,15537.0,20368.0,https://anaconda.org/conda-forge/bcolz,2019-11-05 21:09:48.045000,280205.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n365,pyclustering,annoviko/pyclustering,,others,https://github.com/annoviko/pyclustering,https://github.com/annoviko/pyclustering,BSD-3-Clause,2014-02-25 18:59:03.000000,2021-11-19 04:07:59.000000,2021-02-12 19:04:59.000000,210,56.0,589.0,906.0,2079.0,\"pyclustring is a Python, C++ data mining library.\",26.0,25,True,2020-11-25 22:33:07.000000,0.10.1.2,46.0,pyclustering,conda-forge/pyclustering,,,,296.0,260.0,https://pypi.org/project/pyclustering,2020-11-25 22:41:20.000000,36.0,43586.0,44951.0,https://anaconda.org/conda-forge/pyclustering,2021-09-13 14:29:08.300000,32632.0,,,,,2.0,,378.0,,,,,,,,,,,,,,,,,,,\n366,FiftyOne,voxel51/fiftyone,,data-viz,https://github.com/voxel51/fiftyone,https://github.com/voxel51/fiftyone,Apache-2.0,2020-04-22 13:43:28.000000,2021-12-30 03:38:13.000000,2021-12-29 17:14:52.000000,104,187.0,430.0,886.0,5467.0,\"Visualize, create, and debug image and video datasets and model predictions.\",21.0,25,True,2021-11-24 17:48:22.000000,0.14.2,65.0,fiftyone,,,,\"['tensorflow', 'pytorch', 'jupyter']\",69.0,69.0,https://pypi.org/project/fiftyone,2021-11-24 17:48:22.000000,0.0,19908.0,19908.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n367,empyrical,quantopian/empyrical,,financial-data,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52.000000,2020-10-14 13:28:13.625000,2020-10-14 13:22:39.000000,276,27.0,26.0,881.0,167.0,Common financial risk and performance metrics. Used by zipline and pyfolio.,22.0,25,False,2020-10-13 21:29:19.000000,0.5.5,21.0,empyrical,conda-forge/empyrical,,,,992.0,770.0,https://pypi.org/project/empyrical,2020-10-13 21:29:19.000000,222.0,21955.0,22268.0,https://anaconda.org/conda-forge/empyrical,2020-10-14 13:28:13.625000,14438.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n368,pyjanitor,pyjanitor-devs/pyjanitor,,others,https://github.com/pyjanitor-devs/pyjanitor,https://github.com/pyjanitor-devs/pyjanitor,MIT,2018-03-04 22:43:33.000000,2021-12-27 20:31:54.000000,2021-12-27 20:30:02.000000,134,92.0,334.0,791.0,1162.0,Clean APIs for data cleaning. Python implementation of R package Janitor.,95.0,25,True,2021-11-21 02:25:32.000000,0.22.0,53.0,pyjanitor,conda-forge/pyjanitor,,,,139.0,135.0,https://pypi.org/project/pyjanitor,2021-11-21 02:25:27.000000,4.0,11862.0,14304.0,https://anaconda.org/conda-forge/pyjanitor,2021-11-22 17:28:45.154000,109911.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n369,pythreejs,jupyter-widgets/pythreejs,,data-viz,https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,BSD-3-Clause,2013-12-23 17:02:11.000000,2021-12-06 21:48:19.000000,2021-12-06 21:48:19.000000,162,67.0,144.0,781.0,1667.0,A Jupyter - Three.js bridge.,29.0,25,True,2021-02-26 14:01:21.000000,2.3.0,43.0,pythreejs,conda-forge/pythreejs,,,['jupyter'],53.0,19.0,https://pypi.org/project/pythreejs,2021-02-26 14:01:21.000000,26.0,34683.0,45243.0,https://anaconda.org/conda-forge/pythreejs,2021-03-02 13:32:39.505000,358286.0,,,,,3.0,,,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,2021-02-26 13:59:06.062000,8.0,5213.0,,,,,,,,,,,,,\n370,metrics,PyTorchLightning/metrics,,distributed-ml,https://github.com/PyTorchLightning/metrics,https://github.com/PyTorchLightning/metrics,Apache-2.0,2020-12-22 20:02:42.000000,2021-12-30 14:32:32.000000,2021-12-29 08:52:47.000000,126,44.0,203.0,601.0,582.0,\"Machine learning metrics for distributed, scalable PyTorch applications.\",102.0,25,True,2021-12-15 16:40:08.000000,0.6.2,15.0,metrics,,,,['pytorch'],1502.0,1478.0,https://pypi.org/project/metrics,2018-04-28 10:58:56.000000,24.0,3544.0,3582.0,,,,,,,,3.0,,346.0,,,,,,,,,,,,,,,,,,,\n371,tensorflow-upstream,ROCmSoftwarePlatform/tensorflow-upstream,,ml-frameworks,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,Apache-2.0,2018-04-09 21:24:50.000000,2021-12-27 22:53:36.000000,2021-12-27 22:51:49.000000,66,56.0,264.0,576.0,79524.0,TensorFlow ROCm port.,3898.0,25,True,2021-12-17 21:13:49.000000,2.7.0,71.0,tensorflow-rocm,,,,['tensorflow'],0.0,,https://pypi.org/project/tensorflow-rocm,2021-12-17 21:13:49.000000,0.0,1816.0,1816.0,,,,,,,,3.0,,17.0,,,,,,,,,,,,,,,,,,,\n372,tinytag,devsnd/tinytag,,audio,https://github.com/devsnd/tinytag,https://github.com/devsnd/tinytag,MIT,2014-01-27 15:27:01.000000,2021-12-18 23:42:08.000000,2021-12-17 13:19:46.000000,87,12.0,75.0,498.0,345.0,\"Read audio and music meta data and duration of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA, Wave and AIFF files with python 2..\",21.0,25,True,2021-12-14 11:17:28.000000,1.7.0,35.0,tinytag,,,,,551.0,455.0,https://pypi.org/project/tinytag,2021-12-14 11:17:28.000000,96.0,12546.0,12546.0,,,,,,,,2.0,3.0,,,,,,,,,,,,,,,,,,,,\n373,python-soundfile,bastibe/python-soundfile,,audio,https://github.com/bastibe/python-soundfile,https://github.com/bastibe/python-soundfile,BSD-3-Clause,2013-08-27 13:36:52.000000,2021-12-11 08:22:06.000000,2021-12-07 08:14:03.000000,59,62.0,99.0,429.0,501.0,\"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.\",23.0,25,True,2019-12-04 10:03:39.000000,0.10.3post1,7.0,soundfile,,,,,740.0,,https://pypi.org/project/soundfile,2019-11-27 12:16:19.000000,740.0,811852.0,811881.0,,,,,,,,2.0,,2783.0,,,,,,,,,,,,,,,,,,,\n374,ml-metadata,google/ml-metadata,,ml-experiments,https://github.com/google/ml-metadata,https://github.com/google/ml-metadata,Apache-2.0,2019-01-15 21:02:09.000000,2021-12-24 08:54:03.000000,2021-12-24 08:54:02.000000,81,20.0,56.0,414.0,575.0,For recording and retrieving metadata associated with ML developer and data scientist workflows.,13.0,25,True,2021-11-30 00:03:34.000000,1.5.0,32.0,ml-metadata,,,,,172.0,172.0,https://pypi.org/project/ml-metadata,2021-11-30 00:03:34.000000,0.0,692482.0,692533.0,,,,,,,,3.0,,1712.0,,,,,,,,,,,,,,,,,,,\n375,sklearn-crfsuite,TeamHG-Memex/sklearn-crfsuite,,sklearn-utils,https://github.com/TeamHG-Memex/sklearn-crfsuite,https://github.com/TeamHG-Memex/sklearn-crfsuite,MIT,2015-11-26 21:15:41.000000,2021-10-27 17:57:56.000000,2019-12-05 08:17:22.000000,175,37.0,23.0,385.0,46.0,scikit-learn inspired API for CRFsuite.,6.0,25,False,2017-06-22 18:49:27.000000,0.3.6,9.0,sklearn-crfsuite,,,,['sklearn'],3760.0,3364.0,https://pypi.org/project/sklearn-crfsuite,2017-06-22 18:49:27.000000,396.0,116893.0,116893.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n376,TensorFlow Cloud,tensorflow/cloud,,tensorflow-utils,https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59.000000,2021-12-22 17:20:07.000000,2021-12-22 17:20:03.000000,63,54.0,26.0,318.0,566.0,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,25.0,25,True,2021-06-17 01:15:10.000000,0.1.16,19.0,tensorflow-cloud,,,,['tensorflow'],117.0,117.0,https://pypi.org/project/tensorflow-cloud,2021-06-17 01:15:10.000000,0.0,549700.0,549700.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n377,datalad,datalad/datalad,,others,https://github.com/datalad/datalad,https://github.com/datalad/datalad,MIT,2013-11-01 19:40:08.000000,2021-12-22 05:59:06.000000,2021-12-22 05:59:06.000000,89,486.0,2834.0,272.0,14987.0,\"Keep code, data, containers under control with git and git-annex.\",46.0,25,False,2021-12-16 01:42:11.000000,0.15.4,77.0,datalad,conda-forge/datalad,,,,26.0,,https://pypi.org/project/datalad,2021-12-16 01:42:11.000000,26.0,4668.0,8686.0,https://anaconda.org/conda-forge/datalad,2021-11-18 19:05:43.182000,180847.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n378,Ciphey,Ciphey/Ciphey,,nlp,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39.000000,2021-12-06 03:13:19.000000,2021-11-03 02:20:58.000000,577,51.0,233.0,9206.0,1873.0,\"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.\",46.0,24,True,2021-06-06 17:14:16.000000,5.14.0,50.0,ciphey,,remnux/ciphey,,,,,https://pypi.org/project/ciphey,2021-06-06 17:13:48.000000,,13554.0,14036.0,,,,https://hub.docker.com/r/remnux/ciphey,2021-11-16 13:31:49.535232,5.0,14000.0,3.0,,,,,,,,,,,,,,,,,,,,,\n379,Ludwig,ludwig-ai/ludwig,,ml-frameworks,https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000000,2021-12-30 04:42:26.000000,2021-12-30 04:42:26.000000,947,157.0,481.0,8026.0,2317.0,Data-centric declarative deep learning framework.,108.0,24,True,2021-06-15 04:22:19.000000,0.4,19.0,ludwig,,,,['tensorflow'],111.0,99.0,https://pypi.org/project/ludwig,2021-06-15 04:19:55.000000,12.0,3633.0,3633.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n380,NuPIC,numenta/nupic,,ml-frameworks,https://github.com/numenta/nupic,https://github.com/numenta/nupic,AGPL-3.0,2013-04-05 23:14:27.000000,2021-03-25 21:39:47.000000,2019-10-23 20:45:07.000000,1585,456.0,1337.0,6291.0,6625.0,\"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..\",121.0,24,False,2018-06-01 15:37:54.000000,1.0.5,53.0,nupic,,,,,146.0,108.0,https://pypi.org/project/nupic,2018-06-01 15:37:54.000000,38.0,3941.0,3941.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n381,snownlp,isnowfy/snownlp,,chinese-nlp,https://github.com/isnowfy/snownlp,https://github.com/isnowfy/snownlp,MIT,2013-11-26 11:46:56.000000,2020-01-19 02:39:05.000000,2020-01-19 02:39:03.000000,1298,39.0,65.0,5662.0,57.0,Python library for processing Chinese text.,8.0,24,False,2015-09-27 16:35:23.000000,0.12.3,17.0,snownlp,,,,,839.0,763.0,https://pypi.org/project/snownlp,2015-09-27 16:35:23.000000,76.0,8346.0,8346.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n382,flashtext,vi3k6i5/flashtext,,nlp,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01.000000,2021-07-26 20:38:52.000000,2020-05-03 07:13:22.000000,556,54.0,51.0,5023.0,108.0,Extract Keywords from sentence or Replace keywords in sentences.,7.0,24,False,,,18.0,flashtext,,,,,685.0,653.0,https://pypi.org/project/flashtext,2018-02-16 05:24:17.000000,32.0,459115.0,459115.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n383,textgenrnn,minimaxir/textgenrnn,,nlp,https://github.com/minimaxir/textgenrnn,https://github.com/minimaxir/textgenrnn,MIT,2017-08-07 02:13:37.000000,2021-12-17 04:03:09.000000,2020-07-14 02:41:10.000000,707,117.0,88.0,4591.0,174.0,Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines..,19.0,24,False,2020-02-03 01:07:00.000000,2.0.0,14.0,textgenrnn,,,,['tensorflow'],981.0,953.0,https://pypi.org/project/textgenrnn,2020-02-02 21:16:15.000000,28.0,717.0,731.0,,,,,,,,3.0,,625.0,,,,,,,,,,,,,,,,,,,\n384,polars,pola-rs/polars,,data-containers,https://github.com/pola-rs/polars,https://github.com/pola-rs/polars,MIT,2020-05-13 19:45:33.000000,2021-12-30 15:00:21.000000,2021-12-30 14:51:48.000000,228,83.0,745.0,3969.0,2863.0,Fast multi-threaded DataFrame library in Rust and Python.,63.0,24,True,2021-12-30 12:35:58.000000,0.12.7,124.0,polars,,,,,0.0,,https://pypi.org/project/polars,2021-12-30 12:35:58.000000,0.0,32867.0,32867.0,,,,,,,,3.0,-1.0,,,,,,,,,,,,,,,,,,,,\n385,TensorFlowOnSpark,yahoo/TensorFlowOnSpark,,distributed-ml,https://github.com/yahoo/TensorFlowOnSpark,https://github.com/yahoo/TensorFlowOnSpark,Apache-2.0,2017-01-20 18:15:57.000000,2021-10-15 23:08:42.000000,2021-10-15 23:08:39.000000,959,6.0,354.0,3745.0,628.0,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,33.0,24,True,2021-05-25 22:25:31.000000,2.2.4,31.0,tensorflowonspark,,,,\"['tensorflow', 'spark']\",5.0,,https://pypi.org/project/tensorflowonspark,2021-05-25 20:44:29.000000,5.0,254649.0,254649.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n386,Snips NLU,snipsco/snips-nlu,,nlp,https://github.com/snipsco/snips-nlu,https://github.com/snipsco/snips-nlu,Apache-2.0,2017-02-08 16:16:36.000000,2021-11-17 15:23:01.000000,2021-05-03 12:18:31.000000,495,57.0,196.0,3587.0,2154.0,Snips Python library to extract meaning from text.,22.0,24,True,2020-01-15 10:13:17.000000,0.20.2,58.0,snips-nlu,,,,,16.0,,https://pypi.org/project/snips-nlu,2020-01-15 10:13:17.000000,16.0,3313.0,3313.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n387,DoWhy,Microsoft/dowhy,,interpretability,https://github.com/microsoft/dowhy,https://github.com/microsoft/dowhy,MIT,2018-05-31 13:07:04.000000,2021-12-23 10:34:24.000000,2021-12-05 16:33:33.000000,530,47.0,115.0,3497.0,471.0,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,45.0,24,True,2021-03-03 03:44:46.000000,0.6,6.0,dowhy,conda-forge/dowhy,,,,79.0,79.0,https://pypi.org/project/dowhy,2021-03-03 03:45:16.000000,0.0,44499.0,44715.0,https://anaconda.org/conda-forge/dowhy,2021-04-28 19:20:04.698000,4113.0,,,,,2.0,,24.0,,,,,,,,,,,,,,,,,,,\n388,PaddleSeg,PaddlePaddle/PaddleSeg,,image,https://github.com/PaddlePaddle/PaddleSeg,https://github.com/PaddlePaddle/PaddleSeg,Apache-2.0,2019-08-26 02:32:22.000000,2021-12-30 12:10:21.000000,2021-12-29 11:39:52.000000,770,408.0,418.0,3471.0,,\"Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks..\",59.0,24,True,2021-10-13 06:47:17.000000,2.3.0,13.0,paddleseg,,,,['paddle'],435.0,435.0,https://pypi.org/project/paddleseg,2021-10-13 06:47:17.000000,0.0,1144.0,1144.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n389,Stable Baselines,hill-a/stable-baselines,,reinforcement-learning,https://github.com/hill-a/stable-baselines,https://github.com/hill-a/stable-baselines,MIT,2018-07-02 14:28:59.000000,2021-08-25 09:25:32.000000,2021-08-25 09:25:32.000000,656,128.0,798.0,3390.0,838.0,\"A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.\",112.0,24,True,2021-04-06 12:37:09.000000,2.10.2,31.0,stable-baselines,,,,,50.0,,https://pypi.org/project/stable-baselines,2021-04-06 12:37:09.000000,50.0,10072.0,10072.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n390,Darts,unit8co/darts,,time-series-data,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000000,2021-12-30 14:10:58.000000,2021-12-29 15:24:51.000000,288,112.0,190.0,3285.0,676.0,A python library for easy manipulation and forecasting of time series.,41.0,24,True,2021-12-24 11:20:45.000000,0.15.0,23.0,u8darts,,unit8/darts,,,24.0,24.0,https://pypi.org/project/u8darts,2021-12-24 11:20:45.000000,0.0,2805.0,2811.0,,,,https://hub.docker.com/r/unit8/darts,2021-12-24 11:27:47.904002,,235.0,2.0,,,,,,,,,,,,,,,,,,,,,\n391,nevergrad,facebookresearch/nevergrad,,hyperopt,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000000,2021-12-23 08:02:26.000000,2021-12-23 08:01:38.000000,299,97.0,152.0,3192.0,,A Python toolbox for performing gradient-free optimization.,46.0,24,True,2021-01-28 12:05:40.000000,0.4.3,34.0,nevergrad,conda-forge/nevergrad,,,,283.0,269.0,https://pypi.org/project/nevergrad,2021-11-10 18:52:59.000000,14.0,22006.0,23004.0,https://anaconda.org/conda-forge/nevergrad,2021-06-14 12:44:22.518000,19974.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n392,BentoML,bentoml/BentoML,,model-serialisation,https://github.com/bentoml/BentoML,https://github.com/bentoml/BentoML,Apache-2.0,2019-04-02 01:39:27.000000,2021-12-29 11:52:14.000000,2021-12-03 06:24:55.000000,354,80.0,422.0,3086.0,,Model Serving Made Easy.,90.0,24,True,2021-07-13 10:52:52.000000,0.13.1,55.0,bentoml,,,,,158.0,158.0,https://pypi.org/project/bentoml,2021-12-14 09:16:07.000000,,12500.0,12528.0,,,,,,,,2.0,-2.0,925.0,,,,,,,,,,,,,,,,,,,\n393,xLearn,aksnzhy/xlearn,,ml-frameworks,https://github.com/aksnzhy/xlearn,https://github.com/aksnzhy/xlearn,Apache-2.0,2017-06-10 08:09:31.000000,2021-01-28 14:17:44.000000,2020-03-03 10:12:35.000000,528,193.0,110.0,2968.0,1340.0,\"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..\",30.0,24,False,2019-04-25 02:10:05.000000,0.4.4,15.0,xlearn,,,,,75.0,73.0,https://pypi.org/project/xlearn,2018-12-04 11:05:06.000000,2.0,2533.0,2600.0,,,,,,,,3.0,,3042.0,,,,,,,,,,,,,,,,,,,\n394,keras-vis,raghakot/keras-vis,,interpretability,https://github.com/raghakot/keras-vis,https://github.com/raghakot/keras-vis,MIT,2016-11-11 23:27:34.000000,2020-04-20 01:03:13.000000,2020-04-20 01:03:12.000000,614,114.0,99.0,2901.0,195.0,Neural network visualization toolkit for keras.,10.0,24,False,2017-07-06 04:55:04.000000,0.4.1,11.0,keras-vis,,,,['tensorflow'],1588.0,1532.0,https://pypi.org/project/keras-vis,2017-07-06 04:55:04.000000,56.0,3612.0,3612.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n395,MONAI,Project-MONAI/MONAI,,medical-data,https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000000,2021-12-30 14:07:18.000000,2021-12-24 12:31:42.000000,497,129.0,1248.0,2594.0,,AI Toolkit for Healthcare Imaging.,84.0,24,True,2021-11-25 21:19:49.000000,0.8.0,35.0,monai,,,,['pytorch'],171.0,171.0,https://pypi.org/project/monai,2021-12-14 12:23:29.000000,0.0,19361.0,19361.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n396,Arctic,man-group/arctic,,data-containers,https://github.com/man-group/arctic,https://github.com/man-group/arctic,LGPL-2.1,2015-05-29 13:37:30.000000,2021-12-09 18:52:59.000000,2021-12-09 18:45:24.000000,512,95.0,441.0,2538.0,1091.0,Arctic is a high performance datastore for numeric data.,72.0,24,True,2021-12-09 18:52:59.000000,1.80.1,86.0,arctic,conda-forge/arctic,,,,186.0,144.0,https://pypi.org/project/arctic,2021-12-09 18:52:59.000000,42.0,5336.0,5884.0,https://anaconda.org/conda-forge/arctic,2019-12-16 08:57:24.231000,16936.0,,,,,3.0,,178.0,,,,,,,,,,,,,,,,,,,\n397,GluonTS,awslabs/gluon-ts,,time-series-data,https://github.com/awslabs/gluon-ts,https://github.com/awslabs/gluon-ts,Apache-2.0,2019-05-15 17:17:29.000000,2021-12-28 15:15:34.000000,2021-12-28 15:15:33.000000,490,273.0,420.0,2386.0,827.0,Probabilistic time series modeling in Python.,80.0,24,True,2021-08-12 10:05:38.000000,0.8.1,43.0,gluonts,,,,['mxnet'],0.0,,https://pypi.org/project/gluonts,2021-11-11 15:18:16.000000,0.0,63410.0,63410.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n398,TF Ranking,tensorflow/ranking,,recommender-systems,https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57.000000,2021-11-22 21:37:02.000000,2021-11-22 21:36:59.000000,408,45.0,232.0,2380.0,442.0,Learning to Rank in TensorFlow.,25.0,24,True,2021-11-16 23:49:54.000000,0.5.0,19.0,tensorflow_ranking,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow_ranking,2021-11-16 01:31:58.000000,2.0,85643.0,85643.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n399,TorchServe,pytorch/serve,,model-serialisation,https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000000,2021-12-29 21:40:13.000000,2021-12-21 19:32:57.000000,428,128.0,638.0,2347.0,2469.0,Model Serving on PyTorch.,94.0,24,True,2021-12-29 21:45:21.000000,0.5.2,13.0,torchserve,pytorch/torchserve,pytorch/torchserve,,['pytorch'],0.0,,https://pypi.org/project/torchserve,2021-12-29 21:04:22.000000,0.0,10543.0,48180.0,https://anaconda.org/pytorch/torchserve,2021-12-29 21:04:49.234000,17510.0,https://hub.docker.com/r/pytorch/torchserve,2021-12-29 21:11:42.894442,10.0,954801.0,2.0,,785.0,,,,,,,,,,,,,,,,,,,\n400,vidgear,abhiTronix/vidgear,,image,https://github.com/abhiTronix/vidgear,https://github.com/abhiTronix/vidgear,Apache-2.0,2019-03-17 02:42:42.000000,2021-12-13 02:51:59.000000,2021-12-05 10:14:09.000000,156,2.0,190.0,2061.0,826.0,A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features.,9.0,24,True,2021-12-05 13:04:13.000000,0.2.4,16.0,vidgear,,,,,163.0,161.0,https://pypi.org/project/vidgear,2021-12-05 13:04:13.000000,2.0,3239.0,3254.0,,,,,,,,3.0,,506.0,,,,,,,,,,,,,,,,,,,\n401,accelerate,huggingface/accelerate,,pytorch-utils,https://github.com/huggingface/accelerate,https://github.com/huggingface/accelerate,Apache-2.0,2020-10-30 13:27:12.000000,2021-12-15 16:15:21.000000,2021-12-15 16:15:19.000000,113,53.0,92.0,2053.0,,\"A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision.\",29.0,24,True,2021-09-27 15:05:40.000000,0.5.1,8.0,accelerate,,,,['pytorch'],262.0,262.0,https://pypi.org/project/accelerate,2021-09-27 15:04:05.000000,0.0,41895.0,41895.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n402,Essentia,MTG/essentia,,audio,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000000,2021-12-30 14:08:37.000000,2021-12-29 13:14:47.000000,430,347.0,597.0,1996.0,2997.0,\"C++ library for audio and music analysis, description and synthesis, including Python bindings.\",73.0,24,False,2015-03-31 16:33:30.000000,2.0,10.0,essentia,,,,,270.0,260.0,https://pypi.org/project/essentia,2021-11-04 15:23:58.000000,10.0,2345.0,2345.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n403,Spektral,danielegrattarola/spektral,,graph,https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10.000000,2021-12-15 18:13:55.000000,2021-10-26 09:35:54.000000,257,37.0,159.0,1952.0,1033.0,Graph Neural Networks with Keras and Tensorflow 2.,19.0,24,True,2021-08-23 13:15:21.000000,1.0.8,31.0,spektral,,,,\"['tensorflow\"\"']\",88.0,88.0,https://pypi.org/project/spektral,2021-08-23 13:15:21.000000,0.0,3857.0,3857.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n404,efficientnet,qubvel/efficientnet,,tensorflow-utils,https://github.com/qubvel/efficientnet,https://github.com/qubvel/efficientnet,Apache-2.0,2019-05-30 20:21:09.000000,2021-08-16 07:14:52.000000,2021-07-16 09:03:20.000000,433,59.0,56.0,1927.0,66.0,Implementation of EfficientNet model. Keras and TensorFlow Keras.,10.0,24,True,2020-09-15 16:26:00.000000,1.1.1,9.0,efficientnet,,,,['tensorflow'],851.0,847.0,https://pypi.org/project/efficientnet,2020-09-15 16:26:00.000000,4.0,78227.0,84626.0,,,,,,,,3.0,,198383.0,,,,,,,,,,,,,,,,,,,\n405,textacy,chartbeat-labs/textacy,,nlp,https://github.com/chartbeat-labs/textacy,https://github.com/chartbeat-labs/textacy,Apache-2.0,2016-02-03 16:52:45.000000,2021-12-06 15:00:07.000000,2021-12-06 14:45:21.000000,232,26.0,219.0,1852.0,,\"NLP, before and after spaCy.\",31.0,24,True,2021-12-06 15:00:07.000000,0.12.0,31.0,textacy,conda-forge/textacy,,,,154.0,,https://pypi.org/project/textacy,2021-12-06 15:00:07.000000,154.0,27254.0,29107.0,https://anaconda.org/conda-forge/textacy,2021-04-13 18:57:20.207000,101928.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n406,mljar-supervised,mljar/mljar-supervised,,hyperopt,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000000,2021-12-06 08:40:00.000000,2021-12-06 08:40:00.000000,238,79.0,374.0,1723.0,983.0,\"Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and..\",14.0,24,True,2021-10-01 07:25:05.000000,0.11.1,75.0,mljar-supervised,,,,,34.0,34.0,https://pypi.org/project/mljar-supervised,2021-10-01 07:25:05.000000,,39138.0,39138.0,,,,,,,,2.0,-1.0,,,,,,,,,,,,,,,,,,,,\n407,Pillow-SIMD,uploadcare/pillow-simd,,image,https://github.com/uploadcare/pillow-simd,https://github.com/uploadcare/pillow-simd,PIL,2014-11-12 15:33:02.000000,2021-12-20 22:16:57.000000,2021-12-20 22:12:26.000000,73,10.0,61.0,1705.0,,The friendly PIL fork.,375.0,24,False,2021-10-15 06:27:22.000000,8.4.0,45.0,pillow-simd,,,,,553.0,503.0,https://pypi.org/project/pillow-simd,2021-12-20 22:14:57.000000,50.0,54180.0,54180.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n408,PyTextRank,DerwenAI/pytextrank,,nlp,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000000,2021-10-10 01:12:32.000000,2021-10-10 01:07:35.000000,320,22.0,57.0,1676.0,,Python implementation of TextRank for phrase extraction and summarization of text documents.,17.0,24,True,2021-10-10 01:12:11.000000,3.2.2,18.0,pytextrank,,,,,233.0,221.0,https://pypi.org/project/pytextrank,2021-10-10 01:12:11.000000,12.0,15937.0,15937.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n409,Multicore-TSNE,DmitryUlyanov/Multicore-TSNE,,data-viz,https://github.com/DmitryUlyanov/Multicore-TSNE,https://github.com/DmitryUlyanov/Multicore-TSNE,BSD-3-Clause,2016-10-19 05:46:52.000000,2021-11-09 17:22:51.512000,2020-08-19 14:58:00.000000,200,37.0,21.0,1667.0,113.0,Parallel t-SNE implementation with Python and Torch wrappers.,15.0,24,False,2017-11-08 13:32:20.000000,0.0.1,3.0,MulticoreTSNE,conda-forge/multicore-tsne,,,['pytorch'],296.0,268.0,https://pypi.org/project/MulticoreTSNE,2019-01-09 07:23:04.000000,28.0,7877.0,8197.0,https://anaconda.org/conda-forge/multicore-tsne,2021-11-09 17:22:51.512000,11866.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n410,pytorch-forecasting,jdb78/pytorch-forecasting,,time-series-data,https://github.com/jdb78/pytorch-forecasting,https://github.com/jdb78/pytorch-forecasting,MIT,2020-07-03 13:05:24.000000,2021-12-28 18:13:00.000000,2021-12-28 17:31:01.000000,238,138.0,230.0,1600.0,1123.0,Time series forecasting with PyTorch.,27.0,24,True,2021-11-29 19:55:05.000000,0.9.2,29.0,pytorch-forecasting,,,,,0.0,,https://pypi.org/project/pytorch-forecasting,2021-11-29 19:55:05.000000,0.0,15559.0,15559.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n411,Fairness 360,Trusted-AI/AIF360,,interpretability,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15.000000,2021-12-28 18:35:16.000000,2021-11-18 15:43:53.000000,498,57.0,59.0,1595.0,342.0,\"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..\",46.0,24,True,2021-03-04 18:11:34.000000,0.4.0,9.0,aif360,,,,,135.0,131.0,https://pypi.org/project/aif360,2021-03-04 18:11:34.000000,4.0,6401.0,6401.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n412,Torchmeta,tristandeleu/pytorch-meta,,pytorch-utils,https://github.com/tristandeleu/pytorch-meta,https://github.com/tristandeleu/pytorch-meta,MIT,2018-12-04 23:36:45.000000,2021-12-22 14:50:07.000000,2021-09-20 16:03:46.000000,188,33.0,88.0,1515.0,382.0,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.,12.0,24,True,2021-09-20 16:06:33.000000,1.8.0,28.0,torchmeta,,,,['pytorch'],78.0,78.0,https://pypi.org/project/torchmeta,2021-09-20 16:06:33.000000,,1305.0,1305.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n413,CausalNex,quantumblacklabs/causalnex,,interpretability,https://github.com/quantumblacklabs/causalnex,https://github.com/quantumblacklabs/causalnex,Apache-2.0,2019-12-12 15:26:09.000000,2021-11-11 15:15:32.000000,2021-11-11 15:06:17.000000,150,14.0,87.0,1406.0,155.0,A Python library that helps data scientists to infer causation rather than observing correlation.,22.0,24,True,2021-11-11 15:15:32.000000,0.11.0,16.0,causalnex,,,,\"['pytorch', 'sklearn']\",35.0,35.0,https://pypi.org/project/causalnex,2021-11-11 15:15:32.000000,0.0,4673.0,4673.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n414,bt,pmorissette/bt,,financial-data,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28.000000,2021-05-15 18:58:08.000000,2021-05-15 18:58:08.000000,292,47.0,223.0,1257.0,438.0,bt - flexible backtesting for Python.,24.0,24,True,2021-04-21 02:52:26.000000,0.2.9,25.0,bt,,,,,130.0,90.0,https://pypi.org/project/bt,2021-04-21 02:52:26.000000,40.0,8530.0,8530.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n415,pycm,sepandhaghighi/pycm,,others,https://github.com/sepandhaghighi/pycm,https://github.com/sepandhaghighi/pycm,MIT,2018-01-22 19:46:54.000000,2021-12-27 01:21:22.000000,2021-10-27 05:51:03.000000,102,19.0,161.0,1196.0,2773.0,Multi-class confusion matrix library in Python.,16.0,24,True,2021-10-27 06:03:28.000000,3.3,37.0,pycm,,,,,132.0,122.0,https://pypi.org/project/pycm,2021-10-27 06:04:03.000000,10.0,33493.0,33493.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n416,pandasql,yhat/pandasql,,data-containers,https://github.com/yhat/pandasql,https://github.com/yhat/pandasql,MIT,2013-02-18 01:53:56.000000,2020-08-14 13:00:13.000000,2017-02-01 15:40:30.000000,148,44.0,23.0,1066.0,127.0,sqldf for pandas.,15.0,24,False,2016-04-20 21:52:36.000000,0.7.3,31.0,pandasql,,,,['pandas'],1141.0,1043.0,https://pypi.org/project/pandasql,2016-04-20 21:52:36.000000,98.0,1119823.0,1119823.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n417,ffn,pmorissette/ffn,,financial-data,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09.000000,2021-05-15 18:59:42.000000,2021-04-24 00:58:10.000000,200,16.0,80.0,1046.0,351.0,ffn - a financial function library for Python.,26.0,24,True,2021-04-21 02:47:21.000000,0.3.6,27.0,ffn,,,,,204.0,162.0,https://pypi.org/project/ffn,2021-04-21 02:47:21.000000,42.0,37987.0,37987.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n418,openTSNE,pavlin-policar/openTSNE,,data-viz,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000000,2021-11-13 15:59:24.399000,2021-10-25 08:00:42.000000,99,3.0,95.0,936.0,578.0,\"Extensible, parallel implementations of t-SNE.\",10.0,24,True,2021-10-25 08:35:29.000000,0.6.1,22.0,opentsne,conda-forge/opentsne,,,,276.0,272.0,https://pypi.org/project/opentsne,2021-10-25 08:35:29.000000,4.0,23238.0,26786.0,https://anaconda.org/conda-forge/opentsne,2021-11-13 15:59:24.399000,127749.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n419,Neural Structured Learning,tensorflow/neural-structured-learning,,tensorflow-utils,https://github.com/tensorflow/neural-structured-learning,https://github.com/tensorflow/neural-structured-learning,Apache-2.0,2019-08-27 21:48:16.000000,2021-12-16 08:25:17.000000,2021-12-06 22:50:05.000000,161,3.0,57.0,889.0,493.0,Training neural models with structured signals.,30.0,24,True,2020-08-18 00:35:35.000000,1.3.1,7.0,neural-structured-learning,,,,['tensorflow'],156.0,156.0,https://pypi.org/project/neural-structured-learning,2020-08-18 00:35:35.000000,0.0,10329.0,10329.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n420,PySwarms,ljvmiranda921/pyswarms,,others,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45.000000,2021-12-03 19:52:38.000000,2021-06-23 11:19:05.000000,281,16.0,181.0,872.0,409.0,A research toolkit for particle swarm optimization in Python.,43.0,24,True,2021-01-03 21:34:15.000000,1.3.0,20.0,pyswarms,,,,,147.0,147.0,https://pypi.org/project/pyswarms,2021-01-03 21:34:15.000000,0.0,33642.0,33642.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n421,pyopencl,inducer/pyopencl,,others,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,MIT,2011-04-06 02:51:33.000000,2021-12-29 22:06:08.000000,2021-12-13 20:35:03.000000,216,69.0,233.0,861.0,,\"OpenCL integration for Python, plus shiny features.\",90.0,24,True,2021-12-05 22:06:06.000000,2021.2.10,72.0,pyopencl,conda-forge/pyopencl,,,,836.0,598.0,https://pypi.org/project/pyopencl,2021-12-05 22:06:06.000000,238.0,16651.0,25444.0,https://anaconda.org/conda-forge/pyopencl,2021-12-06 03:04:41.546000,545192.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n422,arch,bashtage/arch,,financial-data,https://github.com/bashtage/arch,https://github.com/bashtage/arch,NCSA,2014-08-29 15:41:28.000000,2021-11-19 16:04:07.000000,2021-11-19 15:39:38.000000,194,15.0,149.0,845.0,,ARCH models in Python.,30.0,24,False,2021-11-19 16:00:03.000000,5.1.0,35.0,arch,,,,,470.0,428.0,https://pypi.org/project/arch,2021-11-19 16:00:03.000000,42.0,138095.0,138095.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n423,Madmom,CPJKU/madmom,,audio,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06.000000,2021-12-29 21:29:23.000000,2021-12-29 16:18:58.000000,148,54.0,187.0,843.0,1729.0,Python audio and music signal processing library.,20.0,24,True,2018-11-14 14:57:41.000000,0.16.1,11.0,madmom,,,,,205.0,171.0,https://pypi.org/project/madmom,2018-11-14 14:56:22.000000,34.0,9055.0,9055.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n424,kapre,keunwoochoi/kapre,,audio,https://github.com/keunwoochoi/kapre,https://github.com/keunwoochoi/kapre,MIT,2016-12-14 18:36:36.000000,2021-12-14 18:04:32.000000,2021-11-14 01:15:18.000000,138,11.0,82.0,795.0,193.0,kapre: Keras Audio Preprocessors.,13.0,24,True,2021-11-14 01:13:37.000000,0.3.6,22.0,kapre,,,,['tensorflow'],1296.0,1274.0,https://pypi.org/project/kapre,2021-11-14 01:13:37.000000,22.0,1566.0,1566.0,,,,,,,,3.0,,19.0,,,,,,,,,,,,,,,,,,,\n425,GPyOpt,SheffieldML/GPyOpt,,hyperopt,https://github.com/SheffieldML/GPyOpt,https://github.com/SheffieldML/GPyOpt,BSD-3-Clause,2014-08-13 09:58:25.000000,2020-11-17 10:32:02.000000,2020-11-05 15:16:04.000000,237,99.0,186.0,784.0,514.0,Gaussian Process Optimization using GPy.,49.0,24,False,2020-03-19 21:21:18.000000,1.2.6,11.0,gpyopt,,,,,272.0,236.0,https://pypi.org/project/gpyopt,2020-03-19 11:37:45.000000,36.0,14873.0,14873.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n426,dask-ml,dask/dask-ml,,distributed-ml,https://github.com/dask/dask-ml,https://github.com/dask/dask-ml,BSD-3-Clause,2017-06-15 15:56:06.000000,2021-11-30 22:00:24.715000,2021-11-30 14:46:11.000000,215,225.0,234.0,773.0,,Scalable Machine Learning with Dask.,69.0,24,True,2021-11-30 15:21:04.000000,2021.11.30,31.0,dask-ml,conda-forge/dask-ml,,,,573.0,531.0,https://pypi.org/project/dask-ml,2021-11-30 15:21:04.000000,42.0,50266.0,55406.0,https://anaconda.org/conda-forge/dask-ml,2021-11-30 22:00:24.715000,257019.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n427,iterative-stratification,trent-b/iterative-stratification,,sklearn-utils,https://github.com/trent-b/iterative-stratification,https://github.com/trent-b/iterative-stratification,BSD-3-Clause,2018-02-04 00:32:10.000000,2021-11-11 01:20:14.000000,2021-11-11 01:20:14.000000,56,4.0,15.0,614.0,55.0,scikit-learn cross validators for iterative stratification of multilabel data.,6.0,24,True,2021-10-03 18:49:49.000000,0.1.7,6.0,iterative-stratification,,,,['sklearn'],194.0,180.0,https://pypi.org/project/iterative-stratification,2021-10-03 18:49:49.000000,14.0,109501.0,109501.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n428,TensorFlow I/O,tensorflow/io,,tensorflow-utils,https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05.000000,2021-12-23 15:54:10.000000,2021-12-16 20:40:50.000000,208,157.0,327.0,522.0,1530.0,\"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.\",83.0,24,True,2021-12-15 23:04:19.000000,0.23.1,30.0,tensorflow-io,,,,['tensorflow'],0.0,,https://pypi.org/project/tensorflow-io,2021-12-15 23:01:12.000000,0.0,159845.0,159845.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n429,Cornac,PreferredAI/cornac,,recommender-systems,https://github.com/PreferredAI/cornac,https://github.com/PreferredAI/cornac,Apache-2.0,2018-07-17 06:31:35.000000,2021-11-22 07:20:04.000000,2021-09-30 10:13:24.000000,83,2.0,74.0,505.0,1230.0,A Comparative Framework for Multimodal Recommender Systems.,13.0,24,True,2021-09-26 07:01:44.000000,1.14.1,45.0,cornac,conda-forge/cornac,,,,73.0,71.0,https://pypi.org/project/cornac,2021-09-26 07:12:34.000000,2.0,7216.0,13483.0,https://anaconda.org/conda-forge/cornac,2021-11-15 19:24:15.089000,194278.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n430,pyvips,libvips/pyvips,,image,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000000,2021-12-30 09:47:00.631000,2021-12-15 10:05:34.000000,33,97.0,163.0,380.0,411.0,python binding for libvips using cffi.,12.0,24,True,2021-11-20 11:46:55.000000,2.1.16,22.0,pyvips,conda-forge/pyvips,,,,277.0,255.0,https://pypi.org/project/pyvips,2021-11-20 11:46:55.000000,22.0,14176.0,14675.0,https://anaconda.org/conda-forge/pyvips,2021-12-30 09:47:00.631000,13987.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n431,Orion,Epistimio/orion,,hyperopt,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21.000000,2021-12-29 14:37:37.000000,2021-12-01 17:47:52.000000,44,102.0,144.0,212.0,3040.0,Asynchronous Distributed Hyperparameter Optimization.,24.0,24,False,2021-11-26 18:02:35.000000,0.2.1,20.0,orion,,,,,57.0,49.0,https://pypi.org/project/orion,2021-11-26 18:02:35.000000,8.0,2709.0,2709.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n432,dbnd,databand-ai/dbnd,,data-pipelines,https://github.com/databand-ai/dbnd,https://github.com/databand-ai/dbnd,Apache-2.0,2020-01-02 10:42:47.000000,2021-12-28 18:46:12.000000,2021-12-28 16:31:54.000000,19,2.0,2.0,210.0,2760.0,DBND is an agile pipeline framework that helps data engineering teams track and orchestrate their data processes.,51.0,24,False,2021-12-28 18:40:13.000000,0.57.3,248.0,dbnd,,,,,25.0,25.0,https://pypi.org/project/dbnd,2021-12-28 18:40:13.000000,0.0,106603.0,106603.0,,,,,,,,3.0,4.0,,,,,,,,,,,,,,,,,,,,\n433,vit-pytorch,lucidrains/vit-pytorch,,image,https://github.com/lucidrains/vit-pytorch,https://github.com/lucidrains/vit-pytorch,MIT,2020-10-03 22:47:24.000000,2021-12-29 00:00:07.000000,2021-12-29 00:00:00.000000,1129,76.0,81.0,7425.0,,\"Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single..\",13.0,23,True,2021-12-28 18:57:57.000000,0.26.0,109.0,vit-pytorch,,,,['pytorch'],62.0,62.0,https://pypi.org/project/vit-pytorch,2021-12-28 18:57:57.000000,0.0,7464.0,7464.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n434,Apex,NVIDIA/apex,,gpu-utilities,https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000000,2021-12-21 15:34:26.000000,2021-12-17 05:42:38.000000,863,530.0,394.0,5993.0,907.0,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,88.0,23,True,,,1.0,,conda-forge/nvidia-apex,,,['pytorch'],838.0,838.0,,,,,2747.0,https://anaconda.org/conda-forge/nvidia-apex,2021-04-22 16:13:47.237000,71425.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n435,english-words,dwyl/english-words,,nlp,https://github.com/dwyl/english-words,https://github.com/dwyl/english-words,Unlicense,2014-07-13 22:20:45.000000,2021-11-10 15:08:38.000000,2021-10-20 08:05:51.000000,1220,45.0,26.0,5857.0,85.0,A text file containing 479k English words for all your dictionary/word-based projects e.g: auto-completion /..,26.0,23,True,2021-08-02 04:02:28.000000,1.0.4,5.0,english-words,,,,,4.0,,https://pypi.org/project/english-words,2021-08-02 04:02:28.000000,4.0,6423.0,6423.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n436,Lucid,tensorflow/lucid,,interpretability,https://github.com/tensorflow/lucid,https://github.com/tensorflow/lucid,Apache-2.0,2018-01-25 17:41:44.000000,2021-07-02 01:49:08.000000,2021-03-19 15:48:33.000000,592,70.0,100.0,4348.0,667.0,A collection of infrastructure and tools for research in neural network interpretability.,40.0,23,True,2021-03-19 16:01:00.000000,0.3.10,17.0,lucid,,,,['tensorflow'],602.0,596.0,https://pypi.org/project/lucid,2021-03-19 16:01:00.000000,6.0,949.0,949.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n437,T5,google-research/text-to-text-transfer-transformer,,nlp,https://github.com/google-research/text-to-text-transfer-transformer,https://github.com/google-research/text-to-text-transfer-transformer,Apache-2.0,2019-10-17 21:45:14.000000,2021-12-22 15:21:14.000000,2021-12-22 15:21:09.000000,528,64.0,333.0,3869.0,,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,44.0,23,True,2021-10-18 13:55:26.000000,0.9.3,28.0,t5,,,,['tensorflow'],76.0,76.0,https://pypi.org/project/t5,2021-10-18 13:55:26.000000,0.0,5604.0,5604.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n438,torchdiffeq,rtqichen/torchdiffeq,,pytorch-utils,https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25.000000,2021-09-22 21:49:42.000000,2021-09-22 21:49:42.000000,664,28.0,129.0,3841.0,224.0,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,20.0,23,True,2021-06-02 23:04:51.000000,0.2.2,6.0,torchdiffeq,,,,['pytorch'],182.0,182.0,https://pypi.org/project/torchdiffeq,2021-06-02 23:04:51.000000,0.0,9956.0,9956.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n439,segmentation_models,qubvel/segmentation_models,,image,https://github.com/qubvel/segmentation_models,https://github.com/qubvel/segmentation_models,MIT,2018-06-05 13:27:56.000000,2021-12-06 07:58:05.000000,2020-04-17 09:51:20.000000,840,199.0,254.0,3591.0,204.0,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,14.0,23,False,2020-01-10 11:36:02.000000,1.0.1,8.0,segmentation_models,,,,['tensorflow'],24.0,,https://pypi.org/project/segmentation_models,2020-01-10 11:36:02.000000,24.0,52129.0,52129.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n440,PyAlgoTrade,gbeced/pyalgotrade,,financial-data,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54.000000,2021-11-28 22:07:38.000000,2018-08-21 02:42:52.000000,1216,45.0,84.0,3572.0,1156.0,Python Algorithmic Trading Library.,11.0,23,False,,,8.0,pyalgotrade,,,,,121.0,100.0,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25.000000,21.0,798.0,798.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n441,speechbrain,speechbrain/speechbrain,,audio,https://github.com/speechbrain/speechbrain,https://github.com/speechbrain/speechbrain,Apache-2.0,2020-04-28 17:48:45.000000,2021-12-30 08:26:17.000000,2021-12-30 08:26:16.000000,613,110.0,433.0,3538.0,,A PyTorch-based Speech Toolkit.,144.0,23,True,2021-12-20 04:22:27.000000,0.5.11,10.0,speechbrain,,,,['pytorch'],104.0,104.0,https://pypi.org/project/speechbrain,2021-12-20 04:23:25.000000,0.0,5207.0,5207.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n442,yellowbrick,DistrictDataLabs/yellowbrick,,interpretability,https://github.com/DistrictDataLabs/yellowbrick,https://github.com/DistrictDataLabs/yellowbrick,Apache-2.0,2016-05-18 14:12:17.000000,2021-12-10 22:07:08.000000,2021-11-10 14:17:20.000000,491,95.0,547.0,3446.0,,Visual analysis and diagnostic tools to facilitate machine learning model selection.,102.0,23,True,2021-02-13 20:31:18.000000,1.3.post1,22.0,yellowbrick,,,,['sklearn'],62.0,,https://pypi.org/project/yellowbrick,2021-02-13 20:42:26.000000,62.0,289596.0,289596.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n443,Image Super-Resolution,idealo/image-super-resolution,,image,https://github.com/idealo/image-super-resolution,https://github.com/idealo/image-super-resolution,Apache-2.0,2018-11-26 13:41:13.000000,2021-11-02 15:48:01.000000,2021-06-02 09:45:13.000000,575,80.0,108.0,3310.0,150.0,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,10.0,23,True,2020-01-08 15:37:35.000000,2.2.0,11.0,ISR,,idealo/image-super-resolution-gpu,,['tensorflow'],76.0,68.0,https://pypi.org/project/ISR,2020-01-08 15:37:35.000000,8.0,5587.0,5592.0,,,,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,,195.0,3.0,,,,,,,,,,,,,,,,,,,,,\n444,FinRL,AI4Finance-LLC/FinRL,,reinforcement-learning,https://github.com/AI4Finance-Foundation/FinRL,https://github.com/AI4Finance-Foundation/FinRL,MIT,2020-07-26 13:18:16.000000,2021-12-29 07:58:11.000000,2021-12-29 07:58:10.000000,821,106.0,150.0,3087.0,1293.0,FinRL: Financial Reinforcement Learning Framework. Please star.,49.0,23,True,2021-09-05 12:46:17.000000,0.3.1,5.0,finrl,,,,,8.0,8.0,https://pypi.org/project/finrl,2021-09-05 12:46:17.000000,,286.0,286.0,,,,,,,,3.0,,,,,,,,,,,AI4Finance-Foundation/FinRL,,,,,,,,,,\n445,Chartify,spotify/chartify,,data-viz,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05.000000,2021-09-17 06:10:10.000000,2021-02-05 18:49:02.000000,272,41.0,31.0,3059.0,195.0,Python library that makes it easy for data scientists to create charts.,21.0,23,True,2020-11-02 22:14:08.000000,3.0.3,16.0,chartify,conda-forge/chartify,,,,66.0,61.0,https://pypi.org/project/chartify,2020-11-02 22:14:08.000000,5.0,1281.0,1751.0,https://anaconda.org/conda-forge/chartify,2020-11-07 19:52:50.628000,17409.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n446,MMLSpark,Azure/mmlspark,,distributed-ml,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000000,2021-12-30 14:36:54.000000,2021-12-23 04:48:41.000000,591,198.0,282.0,2923.0,1008.0,Simple and Distributed Machine Learning.,80.0,23,True,2021-11-16 05:19:37.000000,0.9.4,22.0,mmlspark,,,,['spark'],,,https://pypi.org/project/mmlspark,2020-03-18 01:27:31.000000,,44983.0,44983.0,,,,,,,,3.0,,,,,,,,,,,microsoft/SynapseML,,,,,,,,,,\n447,scikit-opt,guofei9987/scikit-opt,,sklearn-utils,https://github.com/guofei9987/scikit-opt,https://github.com/guofei9987/scikit-opt,MIT,2017-12-05 10:20:41.000000,2021-12-10 12:26:10.000000,2021-12-04 12:23:59.000000,668,30.0,98.0,2812.0,305.0,\"Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune..\",13.0,23,True,2021-06-28 12:45:52.000000,0.6.5,22.0,scikit-opt,,,,['sklearn'],62.0,56.0,https://pypi.org/project/scikit-opt,2021-06-28 12:36:56.000000,6.0,1174.0,1174.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n448,layout-parser,Layout-Parser/layout-parser,,image,https://github.com/Layout-Parser/layout-parser,https://github.com/Layout-Parser/layout-parser,Apache-2.0,2020-06-10 20:22:54.000000,2021-12-03 06:49:39.000000,2021-09-23 16:39:47.000000,250,36.0,33.0,2713.0,166.0,A Unified Toolkit for Deep Learning Based Document Image Analysis.,5.0,23,True,2021-09-23 17:37:22.000000,0.3.2,9.0,layoutparser,,,,,37.0,37.0,https://pypi.org/project/layoutparser,2021-09-23 17:37:22.000000,0.0,3920.0,3920.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n449,ART,Trusted-AI/adversarial-robustness-toolbox,,adversarial,https://github.com/Trusted-AI/adversarial-robustness-toolbox,https://github.com/Trusted-AI/adversarial-robustness-toolbox,MIT,2018-03-15 14:40:43.000000,2021-12-28 10:50:01.000000,2021-12-18 20:54:19.000000,753,78.0,548.0,2695.0,,\"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..\",90.0,23,True,2021-12-18 22:14:37.000000,1.9.0,37.0,adversarial-robustness-toolbox,,,,,176.0,176.0,https://pypi.org/project/adversarial-robustness-toolbox,2021-12-18 22:30:58.000000,0.0,4791.0,4791.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n450,Porcupine,Picovoice/Porcupine,,audio,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000000,2021-12-30 00:20:47.000000,2021-12-29 23:20:55.000000,378,8.0,337.0,2614.0,634.0,On-device wake word detection powered by deep learning.,30.0,23,True,2021-12-21 00:50:46.000000,2.0.4,24.0,pvporcupine,,,,,7.0,7.0,https://pypi.org/project/pvporcupine,2021-12-21 00:50:46.000000,0.0,1675.0,1675.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n451,tensorflow-graphics,tensorflow/graphics,,image,https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44.000000,2021-12-20 19:16:03.000000,2021-12-20 19:15:58.000000,330,128.0,89.0,2569.0,742.0,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,34.0,23,True,2021-12-03 22:33:39.000000,2021.12.3,25.0,tensorflow-graphics,,,,['tensorflow'],6.0,,https://pypi.org/project/tensorflow-graphics,2021-12-03 22:33:39.000000,6.0,2734.0,2734.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n452,Enigma Catalyst,enigmampc/catalyst,,financial-data,https://github.com/scrtlabs/catalyst,https://github.com/scrtlabs/catalyst,Apache-2.0,2017-06-13 22:31:34.000000,2021-09-22 15:32:01.000000,2021-09-22 15:31:55.000000,681,123.0,358.0,2313.0,6364.0,An Algorithmic Trading Library for Crypto-Assets in Python.,147.0,23,True,2018-11-11 16:46:28.000000,0.5.21,52.0,enigma-catalyst,,,,,25.0,23.0,https://pypi.org/project/enigma-catalyst,2018-11-11 16:46:28.000000,2.0,1491.0,1491.0,,,,,,,,3.0,,,,,,,,,,,scrtlabs/catalyst,,,,,,,,,,\n453,SRU,asappresearch/sru,,pytorch-utils,https://github.com/asappresearch/sru,https://github.com/asappresearch/sru,MIT,2017-08-28 20:37:41.000000,2021-12-27 15:53:27.000000,2021-05-19 15:52:48.000000,296,54.0,67.0,2012.0,400.0,Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755).,21.0,23,True,2021-05-18 16:13:10.000000,2.6.0,32.0,sru,,,,['pytorch'],19.0,17.0,https://pypi.org/project/sru,2021-06-17 23:33:37.000000,2.0,3178.0,3178.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n454,pytorch-nlp,PetrochukM/PyTorch-NLP,,nlp,https://github.com/PetrochukM/PyTorch-NLP,https://github.com/PetrochukM/PyTorch-NLP,BSD-3-Clause,2018-02-25 05:00:36.000000,2021-08-22 16:33:38.000000,2021-07-10 15:56:42.000000,242,18.0,49.0,1998.0,447.0,Basic Utilities for PyTorch Natural Language Processing (NLP).,18.0,23,True,2019-11-04 05:16:00.000000,0.5.0,19.0,pytorch-nlp,,,,['pytorch'],333.0,315.0,https://pypi.org/project/pytorch-nlp,2019-11-04 04:35:18.000000,18.0,7472.0,7472.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n455,PyFlux,RJT1990/pyflux,,time-series-data,https://github.com/RJT1990/pyflux,https://github.com/RJT1990/pyflux,BSD-3-Clause,2016-02-16 20:12:02.000000,2019-03-19 10:45:02.000000,2018-12-16 15:30:13.000000,219,82.0,65.0,1937.0,118.0,Open source time series library for Python.,6.0,23,False,2017-11-21 16:27:06.000000,0.4.16,35.0,pyflux,,,,,237.0,207.0,https://pypi.org/project/pyflux,2017-11-21 16:27:06.000000,30.0,22302.0,22302.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n456,aim,aimhubio/aim,,ml-experiments,https://github.com/aimhubio/aim,https://github.com/aimhubio/aim,Apache-2.0,2019-05-31 18:25:07.000000,2021-12-29 19:18:15.000000,2021-12-24 13:02:53.000000,108,110.0,186.0,1923.0,,Aim an easy-to-use and performant open-source experiment tracker.,25.0,23,True,2021-12-24 13:13:45.000000,3.3.3,112.0,aim,,,,,46.0,44.0,https://pypi.org/project/aim,2021-12-24 13:13:45.000000,2.0,8168.0,8168.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n457,HyperTools,ContextLab/hypertools,,data-viz,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25.000000,2021-07-19 16:15:16.000000,2021-07-19 16:15:16.000000,155,67.0,122.0,1678.0,1599.0,A Python toolbox for gaining geometric insights into high-dimensional data.,21.0,23,True,2021-06-15 19:22:37.000000,0.7.0,20.0,hypertools,,,,,170.0,161.0,https://pypi.org/project/hypertools,2021-06-15 19:22:37.000000,9.0,975.0,975.0,,,,,,,,3.0,,8.0,,,,,,,,,,,,,,,,,,,\n458,FairScale,facebookresearch/fairscale,,distributed-ml,https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000000,2021-12-29 23:59:38.000000,2021-12-24 01:35:22.000000,143,64.0,196.0,1550.0,,PyTorch extensions for high performance and large scale training.,51.0,23,True,2021-12-21 20:08:57.000000,0.4.4,26.0,fairscale,,,,['pytorch'],132.0,132.0,https://pypi.org/project/fairscale,2021-12-21 20:08:54.000000,0.0,38195.0,38195.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n459,checklist,marcotcr/checklist,,interpretability,https://github.com/marcotcr/checklist,https://github.com/marcotcr/checklist,MIT,2020-03-09 17:18:49.000000,2021-11-23 19:38:48.000000,2021-09-28 21:55:38.000000,147,12.0,79.0,1546.0,247.0,Beyond Accuracy: Behavioral Testing of NLP models with CheckList.,12.0,23,True,2021-05-24 16:45:59.000000,0.0.11,10.0,checklist,,,,['jupyter'],66.0,62.0,https://pypi.org/project/checklist,2021-05-24 16:45:59.000000,4.0,14882.0,14882.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n460,TensorFlow Privacy,tensorflow/privacy,,privacy-ml,https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000000,2021-12-22 19:08:55.000000,2021-12-22 19:08:54.000000,328,62.0,86.0,1531.0,562.0,Library for training machine learning models with privacy for training data.,43.0,23,True,2021-09-01 02:54:34.000000,0.7.3,17.0,tensorflow-privacy,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow-privacy,2021-09-01 02:54:34.000000,2.0,21570.0,21572.0,,,,,,,,2.0,,59.0,,,,,,,,,,,,,,,,,,,\n461,modAL,modAL-python/modAL,,others,https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000000,2021-12-19 17:42:50.000000,2021-01-07 09:40:40.000000,229,65.0,53.0,1530.0,648.0,A modular active learning framework for Python.,14.0,23,True,2021-01-07 09:47:49.000000,0.4.1,12.0,modAL,,,,['sklearn'],120.0,112.0,https://pypi.org/project/modAL,2021-01-07 09:47:49.000000,8.0,3154.0,3154.0,,,,,,,,3.0,,19.0,,,,,,,,,,,,,,,,,,,\n462,pygraphistry,graphistry/pygraphistry,,graph,https://github.com/graphistry/pygraphistry,https://github.com/graphistry/pygraphistry,BSD-3-Clause,2015-06-02 20:28:42.000000,2021-12-28 07:04:37.000000,2021-12-22 01:54:09.000000,147,72.0,109.0,1510.0,820.0,\"PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated..\",19.0,23,True,2021-12-07 07:06:16.000000,0.20.5,126.0,graphistry,,,,['jupyter'],57.0,53.0,https://pypi.org/project/graphistry,2021-12-07 07:06:16.000000,4.0,2215.0,2215.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n463,sklearn-contrib-lightning,scikit-learn-contrib/lightning,,sklearn-utils,https://github.com/scikit-learn-contrib/lightning,https://github.com/scikit-learn-contrib/lightning,BSD-3-Clause,2012-01-11 13:53:52.000000,2021-12-30 03:03:20.000000,2021-12-30 00:45:29.000000,193,50.0,40.0,1501.0,731.0,\"Large-scale linear classification, regression and ranking in Python.\",17.0,23,True,2021-06-16 21:04:08.000000,0.6.1,10.0,sklearn-contrib-lightning,conda-forge/sklearn-contrib-lightning,,,['sklearn'],107.0,97.0,https://pypi.org/project/sklearn-contrib-lightning,2021-06-15 21:53:28.000000,10.0,1568.0,4051.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2021-11-13 15:37:21.493000,160291.0,,,,,2.0,,103.0,,,,,,,,,,,,,,,,,,,\n464,bonobo,python-bonobo/bonobo,,data-pipelines,https://github.com/python-bonobo/bonobo,https://github.com/python-bonobo/bonobo,Apache-2.0,2016-12-09 04:03:23.000000,2021-11-10 16:43:45.000000,2021-03-10 15:44:00.000000,123,95.0,108.0,1477.0,978.0,Extract Transform Load for Python 3.5+.,37.0,23,True,2019-05-16 13:19:48.000000,0.6.4,38.0,bonobo,,,http://docs.bonobo-project.org/en/master/,,180.0,128.0,https://pypi.org/project/bonobo,2019-07-20 13:33:19.000000,52.0,3568.0,3568.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n465,Karate Club,benedekrozemberczki/karateclub,,graph,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56.000000,2021-12-19 19:02:45.000000,2021-12-19 19:02:45.000000,172,1.0,64.0,1475.0,2203.0,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,13.0,23,False,2021-09-29 21:05:51.000000,_10202,101.0,karateclub,,,,,66.0,66.0,https://pypi.org/project/karateclub,2021-09-29 21:00:31.000000,0.0,5034.0,5034.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n466,streamparse,Parsely/streamparse,,data-pipelines,https://github.com/Parsely/streamparse,https://github.com/Parsely/streamparse,Apache-2.0,2014-05-02 20:33:50.000000,2021-06-21 22:49:33.000000,2020-12-18 18:43:59.000000,219,69.0,263.0,1446.0,1059.0,\"Run Python in Apache Storm topologies. Pythonic API, CLI tooling, and a topology DSL.\",41.0,23,True,2020-10-07 19:53:15.000000,4.0.0,47.0,streamparse,,,,,105.0,53.0,https://pypi.org/project/streamparse,2020-10-07 19:45:19.000000,52.0,4133.0,4133.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n467,fklearn,nubank/fklearn,,ml-frameworks,https://github.com/nubank/fklearn,https://github.com/nubank/fklearn,Apache-2.0,2019-02-27 14:32:57.000000,2021-12-30 01:18:22.000000,2021-12-30 00:57:17.000000,152,20.0,21.0,1368.0,133.0,fklearn: Functional Machine Learning.,41.0,23,True,2021-12-30 01:18:22.000000,2.0.0,24.0,fklearn,,,,,11.0,11.0,https://pypi.org/project/fklearn,2021-12-30 01:18:22.000000,,3802.0,3802.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n468,garage,rlworkgroup/garage,,reinforcement-learning,https://github.com/rlworkgroup/garage,https://github.com/rlworkgroup/garage,MIT,2018-06-10 21:31:23.000000,2021-10-20 05:09:03.000000,2021-10-20 05:09:03.000000,243,205.0,799.0,1363.0,1217.0,A toolkit for reproducible reinforcement learning research.,78.0,23,True,2021-03-23 22:18:36.000000,2021.3.0,21.0,garage,,,,['tensorflow'],23.0,23.0,https://pypi.org/project/garage,2021-03-23 22:18:36.000000,0.0,261.0,261.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n469,TNT,pytorch/tnt,,ml-experiments,https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58.000000,2021-01-22 09:14:29.000000,2021-01-05 19:36:17.000000,190,30.0,35.0,1358.0,156.0,\"Simple tools for logging and visualizing, loading and training.\",35.0,23,True,2019-11-15 12:57:59.000000,0.0.5.1,3.0,torchnet,,,,['pytorch'],50.0,,https://pypi.org/project/torchnet,2018-07-29 23:16:03.000000,50.0,15150.0,15150.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n470,lightning-flash,PyTorchLightning/lightning-flash,,pytorch-utils,https://github.com/PyTorchLightning/lightning-flash,https://github.com/PyTorchLightning/lightning-flash,Apache-2.0,2021-01-28 18:47:16.000000,2021-12-30 10:36:32.000000,2021-12-30 10:36:32.000000,131,83.0,328.0,1328.0,754.0,Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7..,59.0,23,True,2021-12-13 17:53:06.000000,0.6.0,28.0,lightning-flash,,,,['pytorch'],40.0,40.0,https://pypi.org/project/lightning-flash,2021-12-13 17:53:06.000000,0.0,2268.0,2268.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n471,alibi-detect,SeldonIO/alibi-detect,,others,https://github.com/SeldonIO/alibi-detect,https://github.com/SeldonIO/alibi-detect,Apache-2.0,2019-10-07 13:29:13.000000,2021-12-30 13:25:20.000000,2021-12-13 16:31:05.000000,110,80.0,116.0,1063.0,440.0,\"Algorithms for outlier, adversarial and drift detection.\",14.0,23,True,2021-12-09 19:27:30.000000,0.8.0,20.0,alibi-detect,,,,,48.0,46.0,https://pypi.org/project/alibi-detect,2021-12-09 19:25:39.000000,2.0,11241.0,11241.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n472,arq,samuelcolvin/arq,,data-pipelines,https://github.com/samuelcolvin/arq,https://github.com/samuelcolvin/arq,MIT,2016-07-21 18:24:42.000000,2021-12-01 08:00:32.000000,2021-10-15 19:26:51.000000,84,31.0,90.0,1045.0,314.0,Fast job queuing and RPC in python with asyncio and redis.,32.0,23,True,2021-09-02 12:45:02.000000,0.22,55.0,arq,,,,,161.0,153.0,https://pypi.org/project/arq,2021-09-02 12:46:58.000000,8.0,15604.0,15604.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n473,minisom,JustGlowing/minisom,,others,https://github.com/JustGlowing/minisom,https://github.com/JustGlowing/minisom,CC-BY-3.0,2013-07-03 10:10:06.000000,2021-11-30 08:40:18.000000,2021-11-30 08:40:06.000000,307,10.0,84.0,982.0,460.0,MiniSom is a minimalistic implementation of the Self Organizing Maps.,23.0,23,False,2021-04-24 17:22:39.000000,2.2.9,1.0,minisom,,,,,226.0,218.0,https://pypi.org/project/minisom,2021-04-24 17:21:29.000000,8.0,15760.0,15760.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n474,explainerdashboard,oegedijk/explainerdashboard,,interpretability,https://github.com/oegedijk/explainerdashboard,https://github.com/oegedijk/explainerdashboard,MIT,2019-10-30 08:26:16.000000,2021-12-24 20:27:44.000000,2021-12-24 20:24:09.000000,115,17.0,130.0,940.0,1225.0,Quickly build Explainable AI dashboards that show the inner workings of so-called blackbox machine learning models.,12.0,23,True,2021-10-24 19:56:57.000000,0.3.7,78.0,explainerdashboard,,,,,48.0,48.0,https://pypi.org/project/explainerdashboard,2021-10-24 19:56:57.000000,,5251.0,5251.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n475,stockstats,jealous/stockstats,,financial-data,https://github.com/jealous/stockstats,https://github.com/jealous/stockstats,BSD-3-Clause,2016-06-05 15:21:22.000000,2021-12-19 00:52:27.000000,2021-11-20 06:22:44.000000,243,33.0,42.0,923.0,28.0,Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.,8.0,23,True,2020-10-17 11:10:43.000000,0.3.2,14.0,stockstats,,,,,418.0,370.0,https://pypi.org/project/stockstats,2020-10-17 11:10:43.000000,48.0,10184.0,10184.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n476,Labml,labmlai/labml,,ml-experiments,https://github.com/labmlai/labml,https://github.com/labmlai/labml,MIT,2018-11-16 09:34:48.000000,2021-12-23 16:52:42.000000,2021-12-23 16:52:37.000000,65,14.0,12.0,920.0,1158.0,Monitor deep learning model training and hardware usage from your mobile phone.,6.0,23,True,2021-12-20 05:58:07.000000,0.4.135,112.0,labml,,,,,40.0,40.0,https://pypi.org/project/labml,2021-12-20 05:58:07.000000,0.0,8694.0,8694.0,,,,,,,,3.0,3.0,,,,,,,,,,,,,,,,,,,,\n477,Node2Vec,eliorc/node2vec,,graph,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000000,2021-10-09 06:10:48.000000,2021-10-09 06:09:16.000000,185,,70.0,830.0,64.0,Implementation of the node2vec algorithm.,9.0,23,True,2021-10-09 06:10:48.000000,0.4.4,15.0,node2vec,conda-forge/node2vec,,,,10.0,,https://pypi.org/project/node2vec,2021-10-09 06:07:52.000000,10.0,357432.0,357890.0,https://anaconda.org/conda-forge/node2vec,2020-04-25 22:41:13.714000,19707.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n478,ploomber,ploomber/ploomber,,data-pipelines,https://github.com/ploomber/ploomber,https://github.com/ploomber/ploomber,Apache-2.0,2020-01-20 20:13:06.000000,2021-12-30 14:48:01.000000,2021-12-30 13:52:36.000000,65,85.0,334.0,810.0,2248.0,\"Write maintainable, production-ready pipelines using Jupyter or your favorite text editor. Develop locally, deploy to..\",24.0,23,True,2021-12-18 19:23:03.000000,0.13.7,63.0,ploomber,,,,,24.0,24.0,https://pypi.org/project/ploomber,2021-12-25 21:40:58.000000,0.0,2564.0,2564.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n479,GPUtil,anderskm/gputil,,gpu-utilities,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43.000000,2020-10-01 05:42:49.000000,2019-08-16 09:00:15.000000,86,11.0,14.0,803.0,140.0,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,13.0,23,False,2018-12-18 09:12:13.000000,1.4.0,8.0,gputil,,,,,1766.0,1664.0,https://pypi.org/project/gputil,2018-12-18 09:12:13.000000,102.0,389942.0,389942.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n480,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,,data-viz,https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14.000000,2021-11-01 09:41:26.000000,2021-05-10 08:14:09.000000,93,29.0,66.0,740.0,289.0,Bokeh Plotting Backend for Pandas and GeoPandas.,12.0,23,True,2021-04-11 17:43:13.000000,0.5.5,16.0,pandas-bokeh,,,,['pandas'],267.0,257.0,https://pypi.org/project/pandas-bokeh,2021-04-11 17:43:13.000000,10.0,10364.0,10364.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n481,gmaps,pbugnion/gmaps,,geospatial-data,https://github.com/pbugnion/gmaps,https://github.com/pbugnion/gmaps,BSD-3-Clause,2014-12-01 09:12:06.000000,2021-12-15 15:42:57.506000,2019-07-22 06:22:45.000000,146,67.0,136.0,727.0,1380.0,Google maps for Jupyter notebooks.,16.0,23,False,2019-07-21 08:49:48.715000,0.9.0,95.0,gmaps,conda-forge/gmaps,,,['jupyter'],75.0,1.0,https://pypi.org/project/gmaps,2021-12-15 15:42:57.506000,74.0,11242.0,17496.0,https://anaconda.org/conda-forge/gmaps,2019-08-02 11:56:50.940000,250382.0,,,,,3.0,,,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715000,,1702.0,,,,,,,,,,,,,\n482,Sentinelsat,sentinelsat/sentinelsat,,geospatial-data,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26.000000,2021-12-02 13:46:18.000000,2021-12-02 13:46:18.000000,194,7.0,307.0,701.0,,Search and download Copernicus Sentinel satellite images.,42.0,23,False,2021-08-19 17:37:51.000000,1.1.0,39.0,sentinelsat,,,,,301.0,257.0,https://pypi.org/project/sentinelsat,2021-08-19 17:37:51.000000,44.0,18770.0,18773.0,,,,,,,,3.0,,226.0,,,,,,,,,,,,,,,,,,,\n483,CellProfiler,CellProfiler/CellProfiler,,image,https://github.com/CellProfiler/CellProfiler,https://github.com/CellProfiler/CellProfiler,BSD-3-Clause,2011-04-05 12:10:12.000000,2021-11-22 12:29:52.000000,2021-11-05 20:24:04.000000,294,196.0,2816.0,635.0,15358.0,An open-source application for biological image analysis.,121.0,23,True,2021-07-22 19:01:42.000000,4.2.1,43.0,cellprofiler,,,,,6.0,6.0,https://pypi.org/project/cellprofiler,2017-09-04 18:03:36.000000,,628.0,649.0,,,,,,,,3.0,,2062.0,,,,,,,,,,,,,,,,,,,\n484,pickleDB,patx/pickledb,,data-containers,https://github.com/patx/pickledb,https://github.com/patx/pickledb,BSD-3-Clause,2011-10-28 00:04:40.000000,2021-11-09 10:02:37.000000,2019-11-15 03:38:30.000000,106,22.0,39.0,622.0,105.0,pickleDB is an open source key-value store using Python's json module.,12.0,23,False,2019-01-14 18:48:25.000000,0.9.2,20.0,pickledb,,,,,912.0,800.0,https://pypi.org/project/pickledb,2019-01-14 18:48:25.000000,112.0,14976.0,14976.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n485,Mapbox GL,mapbox/mapboxgl-jupyter,,geospatial-data,https://github.com/mapbox/mapboxgl-jupyter,https://github.com/mapbox/mapboxgl-jupyter,MIT,2017-08-08 15:10:51.000000,2021-10-11 17:16:45.000000,2021-04-19 05:00:36.000000,123,35.0,67.0,592.0,221.0,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,21.0,23,True,2019-06-03 21:24:10.000000,0.10.2,20.0,mapboxgl,,,,['jupyter'],141.0,123.0,https://pypi.org/project/mapboxgl,2019-06-02 15:18:57.000000,18.0,12401.0,12401.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n486,python-ternary,marcharper/python-ternary,,data-viz,https://github.com/marcharper/python-ternary,https://github.com/marcharper/python-ternary,MIT,2012-08-07 23:48:55.000000,2021-12-17 13:03:20.000000,2021-10-21 03:04:53.000000,128,25.0,90.0,501.0,393.0,Ternary plotting library for python with matplotlib.,27.0,23,True,2021-02-17 18:38:15.000000,1.0.8,11.0,python-ternary,conda-forge/python-ternary,,,,98.0,78.0,https://pypi.org/project/python-ternary,2021-02-17 18:38:15.000000,20.0,20516.0,21403.0,https://anaconda.org/conda-forge/python-ternary,2021-02-17 22:38:55.625000,60381.0,,,,,3.0,,17.0,,,,,,,,,,,,,,,,,,,\n487,findspark,minrk/findspark,,others,https://github.com/minrk/findspark,https://github.com/minrk/findspark,BSD-3-Clause,2015-06-12 21:34:06.000000,2021-06-14 06:11:28.000000,2021-06-14 06:10:09.000000,66,11.0,10.0,424.0,,Find pyspark to make it importable.,14.0,23,True,2020-06-08 09:32:23.000000,1.4.2,12.0,findspark,conda-forge/findspark,,,['spark'],2345.0,2143.0,https://pypi.org/project/findspark,2020-06-08 09:32:23.000000,202.0,1900309.0,1909402.0,https://anaconda.org/conda-forge/findspark,2018-07-06 12:57:33.438000,600180.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n488,GeoViews,holoviz/geoviews,,geospatial-data,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000000,2021-12-25 18:33:21.000000,2021-12-25 17:12:31.000000,69,105.0,191.0,385.0,676.0,\"Simple, concise geographical visualization in Python.\",25.0,23,True,2021-12-25 18:09:47.000000,1.9.3,32.0,geoviews,conda-forge/geoviews,,,,20.0,,https://pypi.org/project/geoviews,2021-12-25 17:22:46.000000,20.0,8352.0,10326.0,https://anaconda.org/conda-forge/geoviews,2021-09-29 18:42:51.694000,88865.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n489,NIPY,nipy/nipy,,medical-data,https://github.com/nipy/nipy,https://github.com/nipy/nipy,BSD-3-Clause,2010-05-02 10:00:33.000000,2021-12-05 02:53:17.000000,2021-03-29 16:56:48.000000,130,45.0,111.0,312.0,6427.0,Neuroimaging in Python FMRI analysis package.,63.0,23,True,2018-02-19 14:14:08.000000,0.4.2,6.0,nipy,conda-forge/nipy,,,,82.0,,https://pypi.org/project/nipy,2018-02-19 14:14:08.000000,82.0,1166.0,2854.0,https://anaconda.org/conda-forge/nipy,2020-05-04 19:38:04.112000,89508.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n490,pysparkling,svenkreiss/pysparkling,,data-pipelines,https://github.com/svenkreiss/pysparkling,https://github.com/svenkreiss/pysparkling,MIT,2015-05-09 19:23:20.000000,2021-10-31 16:40:25.000000,2021-02-22 17:29:11.000000,45,7.0,21.0,242.0,1527.0,A pure Python implementation of Apache Spark's RDD and DStream interfaces.,10.0,23,False,2021-01-10 21:15:26.000000,0.6.1,68.0,pysparkling,,,,,98.0,84.0,https://pypi.org/project/pysparkling,2021-01-10 21:15:26.000000,14.0,17186.0,17186.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n491,py3nvml,fbcotter/py3nvml,,gpu-utilities,https://github.com/fbcotter/py3nvml,https://github.com/fbcotter/py3nvml,BSD-3-Clause,2016-11-21 01:07:37.000000,2021-11-22 14:30:25.000000,2021-09-06 14:45:26.000000,31,3.0,10.0,201.0,83.0,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,8.0,23,False,2021-11-22 14:30:25.000000,0.2.7,14.0,py3nvml,conda-forge/py3nvml,,,,381.0,361.0,https://pypi.org/project/py3nvml,2021-11-22 14:30:25.000000,20.0,58401.0,59444.0,https://anaconda.org/conda-forge/py3nvml,2021-11-19 20:12:42.962000,23994.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n492,PyStan,stan-dev/pystan,,probabilistics,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,ISC,2017-03-06 19:56:42.094000,2021-10-27 08:33:56.000000,2021-10-21 11:47:11.000000,34,8.0,150.0,147.0,,\"PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io.\",10.0,23,False,2021-10-06 01:05:34.000000,3.3.0,65.0,pystan,conda-forge/pystan,,,,342.0,,https://pypi.org/project/pystan,2021-10-06 01:05:34.000000,342.0,1816947.0,1840567.0,https://anaconda.org/conda-forge/pystan,2021-09-21 02:32:24.465000,1346364.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n493,stop-words,Alir3z4/python-stop-words,,nlp,https://github.com/Alir3z4/python-stop-words,https://github.com/Alir3z4/python-stop-words,BSD-3-Clause,2014-05-26 06:44:03.000000,2021-12-28 13:59:30.000000,2018-07-23 21:04:09.000000,25,3.0,9.0,135.0,90.0,Get list of common stop words in various languages in Python.,8.0,23,False,2018-07-23 20:58:34.000000,2018.7.23,8.0,stop-words,,,,,1657.0,1399.0,https://pypi.org/project/stop-words,2018-07-23 20:55:55.000000,258.0,376315.0,376315.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n494,Qlib,microsoft/qlib,,financial-data,https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000000,2021-12-30 04:11:47.000000,2021-12-29 01:29:08.000000,1254,125.0,265.0,7727.0,,\"Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research,..\",75.0,22,True,2021-12-07 23:37:07.000000,0.8.0,21.0,pyqlib,,,,['pytorch'],9.0,9.0,https://pypi.org/project/pyqlib,2021-12-07 23:37:07.000000,,2945.0,2962.0,,,,,,,,3.0,,269.0,,,,,,,,,,,,,,,,,,,\n495,cortex,cortexlabs/cortex,,model-serialisation,https://github.com/cortexlabs/cortex,https://github.com/cortexlabs/cortex,Apache-2.0,2019-01-24 04:43:14.000000,2021-12-30 04:53:27.000000,2021-12-29 01:08:27.000000,583,106.0,972.0,7634.0,2298.0,Production infrastructure for machine learning at scale.,23.0,22,True,2021-12-08 02:15:29.000000,0.41.0,61.0,cortex,,,,,0.0,,https://pypi.org/project/cortex,2021-12-08 01:09:48.000000,0.0,1050.0,1050.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n496,PyText,facebookresearch/pytext,,nlp,https://github.com/facebookresearch/pytext,https://github.com/facebookresearch/pytext,BSD-3-Clause,2018-07-31 23:40:46.000000,2021-12-15 19:59:29.000000,2021-12-15 19:59:27.000000,804,145.0,74.0,6266.0,,A natural language modeling framework based on PyTorch.,216.0,22,True,2020-06-08 23:30:58.000000,0.3.3,13.0,pytext-nlp,,,,['pytorch'],104.0,103.0,https://pypi.org/project/pytext-nlp,2020-06-08 22:49:33.000000,1.0,240.0,247.0,,,,,,,,3.0,,282.0,,,,,,,,,,,,,,,,,,,\n497,PyTorch3D,facebookresearch/pytorch3d,,image,https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,,2019-10-25 02:23:45.000000,2021-12-28 19:28:50.000000,2021-12-28 19:28:48.000000,758,82.0,786.0,5503.0,,PyTorch3D is FAIR's library of reusable components for deep learning with 3D data.,75.0,22,False,2021-12-16 19:13:11.000000,0.6.1,10.0,pytorch3d,pytorch3d/pytorch3d,,,['pytorch'],135.0,135.0,https://pypi.org/project/pytorch3d,2021-12-16 16:50:38.000000,0.0,8625.0,9773.0,https://anaconda.org/pytorch3d/pytorch3d,2021-12-16 16:50:37.672000,28709.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n498,mmdnn,Microsoft/MMdnn,,model-serialisation,https://github.com/microsoft/MMdnn,https://github.com/microsoft/MMdnn,MIT,2017-08-16 08:03:52.000000,2021-03-01 14:17:24.000000,2020-08-14 02:32:30.000000,964,327.0,288.0,5476.0,1083.0,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,85.0,22,False,2020-07-24 06:34:39.000000,0.3.1,12.0,mmdnn,,,,,70.0,67.0,https://pypi.org/project/mmdnn,2020-07-24 06:34:39.000000,3.0,791.0,861.0,,,,,,,,2.0,,3476.0,,,,,,,,,,,,,,,,,,,\n499,deep-daze,lucidrains/deep-daze,,image,https://github.com/lucidrains/deep-daze,https://github.com/lucidrains/deep-daze,MIT,2021-01-17 06:00:50.000000,2021-10-19 02:59:23.000000,2021-10-19 02:58:47.000000,278,83.0,72.0,3986.0,,Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation..,13.0,22,True,2021-10-19 02:59:23.000000,0.10.3,65.0,deep-daze,,,,,32.0,32.0,https://pypi.org/project/deep-daze,2021-10-19 02:59:23.000000,,21532.0,21532.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n500,Image Deduplicator,idealo/imagededup,,image,https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54.000000,2021-12-28 20:14:53.000000,2020-11-23 17:40:40.000000,340,30.0,59.0,3922.0,460.0,Finding duplicate images made easy!.,10.0,22,False,2020-11-23 17:55:24.000000,0.2.4,9.0,imagededup,,,,['tensorflow'],23.0,21.0,https://pypi.org/project/imagededup,2020-11-22 21:09:36.000000,2.0,2097.0,2097.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n501,FATE,FederatedAI/FATE,,privacy-ml,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000000,2021-12-30 12:18:50.000000,2021-12-14 04:10:57.000000,1126,347.0,706.0,3815.0,9678.0,An Industrial Grade Federated Learning Framework.,68.0,22,True,2021-11-24 09:37:50.000000,1.7.0,29.0,,,,,,,,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n502,ArrayFire,arrayfire/arrayfire,,gpu-utilities,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000000,2021-12-28 20:55:02.000000,2021-10-15 20:16:28.000000,492,232.0,1264.0,3701.0,5776.0,ArrayFire: a general purpose GPU library.,81.0,22,True,2021-01-08 21:41:09.000000,3.8.0,30.0,arrayfire,,,,,8.0,,https://pypi.org/project/arrayfire,2021-03-05 17:36:30.000000,8.0,507.0,529.0,,,,,,,,2.0,,1761.0,,,,,,,,,,,,,,,,,,,\n503,TensorTrade,tensortrade-org/tensortrade,,financial-data,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32.000000,2021-12-07 23:06:23.000000,2021-12-07 23:03:39.000000,825,25.0,172.0,3656.0,941.0,\"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.\",57.0,22,True,2021-05-10 18:04:30.000000,1.0.3,27.0,tensortrade,,,,,29.0,28.0,https://pypi.org/project/tensortrade,2021-05-10 18:00:35.000000,1.0,961.0,961.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n504,MatchZoo,NTMC-Community/MatchZoo,,nlp,https://github.com/NTMC-Community/MatchZoo,https://github.com/NTMC-Community/MatchZoo,Apache-2.0,2017-06-08 08:55:22.000000,2021-06-03 02:58:49.000000,2021-06-02 17:38:16.000000,908,29.0,429.0,3582.0,1810.0,\"Facilitating the design, comparison and sharing of deep text matching models.\",36.0,22,True,2019-10-24 13:09:11.000000,2.2.0,5.0,matchzoo,,,,['tensorflow'],10.0,10.0,https://pypi.org/project/matchzoo,2019-10-24 13:09:11.000000,,164.0,164.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n505,AdaNet,tensorflow/adanet,,hyperopt,https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24.000000,2021-08-30 19:33:24.000000,2021-08-30 19:33:24.000000,518,65.0,47.0,3348.0,440.0,Fast and flexible AutoML with learning guarantees.,27.0,22,True,2020-07-09 21:03:28.000000,0.9.0,13.0,adanet,,,,['tensorflow'],43.0,41.0,https://pypi.org/project/adanet,2020-07-09 21:03:28.000000,2.0,666.0,666.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n506,TRFL,deepmind/trfl,,reinforcement-learning,https://github.com/deepmind/trfl,https://github.com/deepmind/trfl,Apache-2.0,2018-08-08 14:44:11.000000,2021-08-16 12:19:16.000000,2021-08-16 11:45:18.000000,372,6.0,16.0,3101.0,123.0,TensorFlow Reinforcement Learning.,13.0,22,True,2021-08-16 12:19:16.000000,1.2.0,5.0,trfl,,,,['tensorflow'],73.0,69.0,https://pypi.org/project/trfl,2021-08-16 12:19:16.000000,4.0,2649.0,2649.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n507,SHOGUN,shogun-toolbox/shogun,,ml-frameworks,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32.000000,2021-07-19 16:40:30.000000,2020-12-08 16:56:38.000000,1047,437.0,1100.0,2864.0,16205.0,Unified and efficient Machine Learning.,248.0,22,True,2019-07-05 10:23:31.000000,shogun_6.1.4,10.0,,conda-forge/shogun,shogun/shogun,,,,,,,,,2088.0,https://anaconda.org/conda-forge/shogun,2018-06-25 20:49:17.070000,110113.0,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1472.0,3.0,,,,,,,,,,shogun,,,,,,,,,,,\n508,Hummingbird,microsoft/hummingbird,,model-serialisation,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000000,2021-12-20 21:36:45.000000,2021-12-16 00:55:51.000000,207,54.0,177.0,2709.0,,Hummingbird compiles trained ML models into tensor computation for faster inference.,27.0,22,True,2021-12-14 19:31:26.000000,0.4.2,15.0,hummingbird-ml,,,,,20.0,20.0,https://pypi.org/project/hummingbird-ml,2021-12-14 19:28:14.000000,,2210.0,2217.0,,,,,,,,2.0,,147.0,,,,,,,,,,,,,,,,,,,\n509,DeepVariant,google/deepvariant,,medical-data,https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000000,2021-12-16 06:56:52.044000,2021-12-10 22:24:30.000000,578,4.0,447.0,2412.0,1838.0,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,21.0,22,True,2021-12-10 07:12:31.000000,1.3.0,17.0,,bioconda/deepvariant,,,['tensorflow'],,,,,,,849.0,https://anaconda.org/bioconda/deepvariant,2021-12-16 06:56:52.044000,36269.0,,,,,3.0,,3751.0,,,,,,,,,,,,,,,,,,,\n510,knockknock,huggingface/knockknock,,ml-experiments,https://github.com/huggingface/knockknock,https://github.com/huggingface/knockknock,MIT,2019-03-20 13:08:55.000000,2021-09-22 02:27:34.000000,2020-03-16 04:26:47.000000,194,14.0,23.0,2324.0,75.0,Knock Knock: Get notified when your training ends with only two additional lines of code.,18.0,22,False,2020-03-04 04:15:47.000000,0.1.8,10.0,knockknock,conda-forge/knockknock,,,,233.0,230.0,https://pypi.org/project/knockknock,2020-03-16 14:30:23.000000,3.0,879.0,1200.0,https://anaconda.org/conda-forge/knockknock,2020-03-17 01:52:16.317000,8353.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n511,Mars,mars-project/mars,,others,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03.000000,2021-12-28 02:50:04.000000,2021-12-24 02:50:06.000000,289,150.0,785.0,2320.0,1003.0,\"Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and..\",39.0,22,True,2021-12-16 07:30:04.000000,0.8.0,102.0,pymars,,,,,0.0,,https://pypi.org/project/pymars,2021-12-16 07:30:04.000000,0.0,2295.0,2295.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n512,Texar,asyml/texar,,nlp,https://github.com/asyml/texar,https://github.com/asyml/texar,Apache-2.0,2017-07-22 19:02:05.000000,2021-08-26 09:49:50.000000,2020-07-29 00:38:30.000000,356,33.0,126.0,2235.0,1719.0,\"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the..\",43.0,22,False,2019-11-19 04:11:18.000000,0.2.4,6.0,texar,,,,['tensorflow'],19.0,17.0,https://pypi.org/project/texar,2019-11-19 04:11:18.000000,2.0,207.0,207.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n513,DDSP,magenta/ddsp,,audio,https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27.000000,2021-12-24 01:02:02.000000,2021-12-21 01:12:56.000000,214,22.0,105.0,2028.0,,DDSP: Differentiable Digital Signal Processing.,29.0,22,True,2021-12-24 01:02:03.000000,1.9.0,40.0,ddsp,,,,['tensorflow'],19.0,19.0,https://pypi.org/project/ddsp,2021-12-24 01:00:12.000000,0.0,1953.0,1953.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n514,STUMPY,TDAmeritrade/stumpy,,time-series-data,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000000,2021-12-28 03:42:24.000000,2021-12-24 18:09:47.000000,193,32.0,244.0,2023.0,,STUMPY is a powerful and scalable Python library for modern time series analysis.,26.0,22,True,2021-12-24 18:12:10.000000,1.10.2,25.0,stumpy,conda-forge/stumpy,,,,0.0,,https://pypi.org/project/stumpy,2021-12-24 18:12:10.000000,0.0,263809.0,264914.0,https://anaconda.org/conda-forge/stumpy,2021-12-24 18:44:17.831000,34260.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n515,m2cgen,BayesWitnesses/m2cgen,,model-serialisation,https://github.com/BayesWitnesses/m2cgen,https://github.com/BayesWitnesses/m2cgen,MIT,2019-01-13 02:32:55.000000,2021-12-27 02:01:32.000000,2021-12-26 16:23:12.000000,162,36.0,49.0,1970.0,329.0,\"Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart,..\",12.0,22,True,2020-09-18 19:17:26.000000,0.9.0,12.0,m2cgen,,,,,8.0,8.0,https://pypi.org/project/m2cgen,2020-09-18 19:16:17.000000,,53861.0,53861.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n516,reformer-pytorch,lucidrains/reformer-pytorch,,pytorch-utils,https://github.com/lucidrains/reformer-pytorch,https://github.com/lucidrains/reformer-pytorch,MIT,2020-01-09 20:42:37.000000,2021-11-06 23:09:00.000000,2021-11-06 23:08:22.000000,220,13.0,104.0,1650.0,245.0,\"Reformer, the efficient Transformer, in Pytorch.\",10.0,22,True,2021-11-06 23:09:00.000000,1.4.4,139.0,reformer-pytorch,,,,['pytorch'],,,https://pypi.org/project/reformer-pytorch,2021-11-06 23:09:00.000000,,11642.0,11642.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n517,Torch Points 3D,nicolas-chaulet/torch-points3d,,image,https://github.com/nicolas-chaulet/torch-points3d,https://github.com/nicolas-chaulet/torch-points3d,BSD-3-Clause,2019-12-06 11:33:34.000000,2021-12-10 20:17:18.000000,2021-12-10 20:17:18.000000,259,88.0,210.0,1642.0,1788.0,Pytorch framework for doing deep learning on point clouds.,29.0,22,True,2021-04-30 09:00:22.000000,1.3.0,14.0,torch-points3d,,,,['pytorch'],4.0,4.0,https://pypi.org/project/torch-points3d,2021-04-30 09:00:22.000000,,771.0,771.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n518,RecBole,RUCAIBox/RecBole,,recommender-systems,https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000000,2021-12-23 12:42:56.000000,2021-12-23 12:42:56.000000,262,50.0,219.0,1523.0,3381.0,\"A unified, comprehensive and efficient recommendation library.\",42.0,22,True,2021-09-16 13:45:46.000000,1.0.0,6.0,recbole,aibox/recbole,,,['pytorch'],,,https://pypi.org/project/recbole,2021-09-16 13:45:46.000000,,770.0,842.0,https://anaconda.org/aibox/recbole,2021-09-16 16:45:01.892000,939.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n519,Magnitude,plasticityai/magnitude,,nn-search,https://github.com/plasticityai/magnitude,https://github.com/plasticityai/magnitude,MIT,2018-02-24 07:28:16.000000,2021-02-23 18:10:43.000000,2020-07-17 20:19:46.000000,104,29.0,51.0,1494.0,350.0,\"A fast, efficient universal vector embedding utility package.\",4.0,22,False,2020-05-25 11:26:36.000000,0.1.143,128.0,pymagnitude,,,,,228.0,214.0,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36.000000,14.0,4673.0,4673.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n520,datatable,h2oai/datatable,,data-containers,https://github.com/h2oai/datatable,https://github.com/h2oai/datatable,MPL-2.0,2017-03-03 02:32:59.000000,2021-12-24 00:06:06.000000,2021-12-22 02:45:11.000000,122,136.0,1250.0,1423.0,,A Python package for manipulating 2-dimensional tabular data structures.,32.0,22,True,2021-07-02 00:15:35.000000,1.0.0,16.0,datatable,,,,,6.0,,https://pypi.org/project/datatable,2021-07-01 23:36:34.000000,6.0,65786.0,65809.0,,,,,,,,3.0,,1201.0,,,,,,,,,,,,,,,,,,,\n521,EfficientNets,rwightman/gen-efficientnet-pytorch,,pytorch-utils,https://github.com/rwightman/gen-efficientnet-pytorch,https://github.com/rwightman/gen-efficientnet-pytorch,Apache-2.0,2019-05-11 19:35:56.000000,2021-07-08 19:05:05.000000,2021-07-08 19:03:55.000000,190,2.0,49.0,1416.0,108.0,\"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.\",5.0,22,True,2021-07-08 19:05:05.000000,1.0.2,10.0,geffnet,,,,['pytorch'],88.0,88.0,https://pypi.org/project/geffnet,2021-07-08 19:05:05.000000,0.0,6455.0,6455.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n522,FinTA,peerchemist/finta,,financial-data,https://github.com/peerchemist/finta,https://github.com/peerchemist/finta,LGPL-3.0,2016-09-01 21:02:46.000000,2021-10-19 18:06:53.000000,2021-10-19 18:06:53.000000,449,17.0,63.0,1402.0,392.0,Common financial technical indicators implemented in Pandas.,27.0,22,False,2021-04-03 08:51:49.000000,1.3,19.0,finta,,,,,146.0,142.0,https://pypi.org/project/finta,2020-10-21 11:39:44.000000,4.0,6661.0,6661.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n523,lightly,lightly-ai/lightly,,image,https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000000,2021-12-30 11:56:03.000000,2021-12-30 11:56:02.000000,87,66.0,229.0,1362.0,584.0,A python library for self-supervised learning on images.,14.0,22,True,2021-12-14 14:30:04.000000,1.2.1,37.0,lightly,,,,['pytorch'],25.0,25.0,https://pypi.org/project/lightly,2021-12-14 14:32:40.000000,0.0,1935.0,1935.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n524,sense2vec,explosion/sense2vec,,nlp,https://github.com/explosion/sense2vec,https://github.com/explosion/sense2vec,MIT,2016-01-23 22:15:49.000000,2021-08-16 11:44:51.000000,2021-08-16 11:44:51.000000,218,19.0,88.0,1329.0,454.0,Contextually-keyed word vectors.,17.0,22,True,2021-04-19 07:05:28.000000,3.0.0,22.0,sense2vec,conda-forge/sense2vec,,,,116.0,104.0,https://pypi.org/project/sense2vec,2021-04-19 07:05:28.000000,12.0,4052.0,5476.0,https://anaconda.org/conda-forge/sense2vec,2021-07-14 13:20:19.752000,24038.0,,,,,3.0,,23522.0,,,,,,,,,,,,,,,,,,,\n525,NiftyNet,NifTK/NiftyNet,,medical-data,https://github.com/NifTK/NiftyNet,https://github.com/NifTK/NiftyNet,Apache-2.0,2017-08-30 07:55:43.000000,2020-04-21 19:54:52.000000,2020-04-21 19:54:51.000000,389,102.0,224.0,1291.0,2848.0,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,58.0,22,False,2019-10-10 10:59:33.000000,0.6.0,11.0,niftynet,,,,['tensorflow'],38.0,37.0,https://pypi.org/project/niftynet,2019-10-10 10:59:33.000000,1.0,352.0,352.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n526,Paddle Graph Learning,PaddlePaddle/PGL,,graph,https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28.000000,2021-12-29 06:30:55.000000,2021-12-29 04:06:09.000000,192,38.0,65.0,1185.0,,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,21.0,22,True,2021-12-29 04:02:35.000000,2.2.2,16.0,pgl,,,,['paddle'],25.0,23.0,https://pypi.org/project/pgl,2021-12-20 02:21:36.000000,2.0,1362.0,1362.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n527,pyts,johannfaouzi/pyts,,time-series-data,https://github.com/johannfaouzi/pyts,https://github.com/johannfaouzi/pyts,BSD-3-Clause,2017-07-31 09:23:16.000000,2021-12-09 13:27:33.000000,2021-12-09 13:27:29.000000,116,33.0,24.0,1130.0,,A Python package for time series classification.,10.0,22,True,2021-10-31 13:51:09.000000,0.12.0,18.0,pyts,conda-forge/pyts,,,,165.0,161.0,https://pypi.org/project/pyts,2021-10-31 13:51:09.000000,4.0,48467.0,48815.0,https://anaconda.org/conda-forge/pyts,2021-10-31 15:13:32.850000,9744.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n528,TaskTiger,closeio/tasktiger,,data-pipelines,https://github.com/closeio/tasktiger,https://github.com/closeio/tasktiger,MIT,2015-05-14 00:26:32.000000,2021-12-02 18:08:25.000000,2021-12-02 17:40:09.000000,62,33.0,35.0,1104.0,273.0,Python task queue using Redis.,25.0,22,True,2021-12-02 17:42:13.000000,0.16,26.0,tasktiger,,,,,40.0,22.0,https://pypi.org/project/tasktiger,2021-12-02 18:08:25.000000,18.0,1832.0,1832.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n529,SciSpacy,allenai/scispacy,,nlp,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52.000000,2021-12-23 06:33:53.000000,2021-07-15 18:43:58.000000,144,36.0,197.0,1070.0,,A full spaCy pipeline and models for scientific/biomedical documents.,21.0,22,True,2021-02-12 22:56:06.000000,0.4.0,10.0,scispacy,,,,,385.0,373.0,https://pypi.org/project/scispacy,2021-02-12 22:56:06.000000,12.0,24531.0,24531.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n530,gplearn,trevorstephens/gplearn,,others,https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14.000000,2021-12-15 16:04:40.206000,2021-10-18 05:33:29.000000,185,46.0,128.0,1058.0,148.0,\"Genetic Programming in Python, with a scikit-learn inspired API.\",11.0,22,True,2019-06-01 02:04:52.000000,0.4.1,6.0,gplearn,,,,['sklearn'],229.0,215.0,https://pypi.org/project/gplearn,2019-06-01 02:04:52.000000,14.0,2313.0,2313.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n531,ChainerRL,chainer/chainerrl,,reinforcement-learning,https://github.com/chainer/chainerrl,https://github.com/chainer/chainerrl,MIT,2017-01-30 04:58:15.000000,2021-08-10 18:25:48.000000,2021-04-17 06:02:30.000000,211,75.0,147.0,1018.0,3471.0,ChainerRL is a deep reinforcement learning library built on top of Chainer.,29.0,22,True,2020-02-14 05:35:56.000000,0.8.0,10.0,chainerrl,,,,,121.0,107.0,https://pypi.org/project/chainerrl,2020-02-14 05:35:56.000000,14.0,587.0,587.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n532,Explainability 360,Trusted-AI/AIX360,,interpretability,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48.000000,2021-12-10 23:59:46.000000,2021-10-12 06:35:26.000000,209,38.0,25.0,1015.0,316.0,Interpretability and explainability of data and machine learning models.,29.0,22,True,2020-10-28 09:32:21.000000,0.2.1,4.0,aix360,,,,,38.0,37.0,https://pypi.org/project/aix360,2020-10-28 09:18:17.000000,1.0,1417.0,1417.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n533,Opacus,pytorch/opacus,,privacy-ml,https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000000,2021-12-22 01:17:53.000000,2021-12-22 01:17:50.000000,163,18.0,96.0,1013.0,,Training PyTorch models with differential privacy.,40.0,22,True,2021-12-01 08:54:32.000000,1.0.0,11.0,opacus,,,,['pytorch'],70.0,70.0,https://pypi.org/project/opacus,2021-12-01 08:54:32.000000,0.0,3532.0,3534.0,,,,,,,,2.0,,40.0,,,,,,,,,,,,,,,,,,,\n534,geoplotlib,andrea-cuttone/geoplotlib,,geospatial-data,https://github.com/andrea-cuttone/geoplotlib,https://github.com/andrea-cuttone/geoplotlib,MIT,2015-02-24 13:13:07.000000,2021-10-20 12:00:24.000000,2019-05-06 07:06:50.000000,155,30.0,19.0,943.0,159.0,python toolbox for visualizing geographical data and making maps.,8.0,22,False,2016-07-27 14:55:01.000000,0.3.2,4.0,geoplotlib,,,,,147.0,125.0,https://pypi.org/project/geoplotlib,2016-07-27 14:55:01.000000,22.0,1663.0,1663.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n535,tf-explain,sicara/tf-explain,,interpretability,https://github.com/sicara/tf-explain,https://github.com/sicara/tf-explain,MIT,2019-07-15 08:26:24.000000,2021-11-30 09:54:42.000000,2021-11-30 09:54:40.000000,91,39.0,50.0,891.0,206.0,Interpretability Methods for tf.keras models with Tensorflow 2.x.,16.0,22,True,2021-11-18 20:57:29.000000,0.3.1,8.0,tf-explain,,,,['tensorflow'],96.0,94.0,https://pypi.org/project/tf-explain,2021-11-18 20:57:29.000000,2.0,2020.0,2020.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n536,scikit-cuda,lebedov/scikit-cuda,,gpu-utilities,https://github.com/lebedov/scikit-cuda,https://github.com/lebedov/scikit-cuda,BSD-3-Clause,2010-09-27 02:02:07.000000,2021-07-13 12:58:06.000000,2021-07-13 12:58:06.000000,166,50.0,167.0,871.0,1032.0,Python interface to GPU-powered libraries.,45.0,22,True,2019-05-27 00:29:00.000000,0.5.3,7.0,scikit-cuda,,,,,221.0,151.0,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00.000000,70.0,553.0,553.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n537,torch-scatter,rusty1s/pytorch_scatter,,pytorch-utils,https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23.000000,2021-11-13 17:38:08.000000,2021-11-13 17:38:07.000000,89,22.0,214.0,848.0,970.0,PyTorch Extension Library of Optimized Scatter Operations.,18.0,22,True,2021-10-22 11:01:13.000000,2.0.9,29.0,torch-scatter,,,,['pytorch'],32.0,,https://pypi.org/project/torch-scatter,2021-10-22 11:01:13.000000,32.0,30652.0,30652.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n538,nude.py,hhatto/nude.py,,image,https://github.com/hhatto/nude.py,https://github.com/hhatto/nude.py,MIT,2013-06-09 06:55:55.000000,2020-11-23 13:49:32.000000,2020-11-23 13:49:02.000000,132,7.0,3.0,827.0,79.0,Nudity detection with Python.,12.0,22,False,2020-11-23 13:49:17.000000,0.5.1,10.0,nudepy,,,,,1460.0,1442.0,https://pypi.org/project/nudepy,2020-11-23 13:49:17.000000,18.0,8981.0,8981.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n539,audiomentations,iver56/audiomentations,,audio,https://github.com/iver56/audiomentations,https://github.com/iver56/audiomentations,MIT,2019-02-12 16:36:24.000000,2021-12-25 08:21:48.000000,2021-12-25 08:21:44.000000,105,25.0,66.0,815.0,547.0,A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.,20.0,22,True,2021-11-18 14:29:10.000000,0.20.0,22.0,audiomentations,,,,,97.0,97.0,https://pypi.org/project/audiomentations,2021-11-18 14:29:10.000000,,2688.0,2688.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n540,Prince,MaxHalford/prince,,others,https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000000,2021-12-28 17:01:09.000000,2021-12-28 17:01:09.000000,130,33.0,68.0,741.0,209.0,\"Python factor analysis library (PCA, CA, MCA, MFA, FAMD).\",12.0,22,True,2020-10-06 11:26:47.000000,0.7.1,41.0,prince,,,,['sklearn'],175.0,169.0,https://pypi.org/project/prince,2020-10-06 11:26:47.000000,6.0,14481.0,14481.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n541,lets-plot,JetBrains/lets-plot,,data-viz,https://github.com/JetBrains/lets-plot,https://github.com/JetBrains/lets-plot,MIT,2019-03-20 16:13:03.000000,2021-12-29 14:16:03.000000,2021-12-27 17:34:38.000000,32,74.0,155.0,710.0,2315.0,An open-source plotting library for statistical data.,16.0,22,True,2021-12-10 17:04:12.000000,2.2.1,45.0,lets-plot,,,,,12.0,12.0,https://pypi.org/project/lets-plot,2021-12-10 16:26:26.000000,0.0,1889.0,1895.0,,,,,,,,3.0,,170.0,,,,,,,,,,,,,,,,,,,\n542,scikit-multilearn,scikit-multilearn/scikit-multilearn,,sklearn-utils,https://github.com/scikit-multilearn/scikit-multilearn,https://github.com/scikit-multilearn/scikit-multilearn,BSD-2-Clause,2014-04-30 13:05:44.000000,2020-06-30 10:19:46.000000,2019-05-21 11:29:06.000000,131,72.0,94.0,707.0,487.0,A scikit-learn based module for multi-label et. al. classification.,15.0,22,False,2018-12-10 16:24:47.000000,0.2.0,6.0,scikit-multilearn,,,,['sklearn'],637.0,615.0,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47.000000,22.0,58325.0,58325.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n543,NeuPy,itdxer/neupy,,ml-frameworks,https://github.com/itdxer/neupy,https://github.com/itdxer/neupy,MIT,2015-08-24 19:45:11.000000,2021-09-29 17:25:21.000000,2019-09-02 19:02:38.000000,149,30.0,234.0,699.0,1145.0,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,7.0,22,False,2019-04-04 19:44:59.000000,0.8.2,34.0,neupy,,,,,141.0,119.0,https://pypi.org/project/neupy,2019-04-04 19:43:06.000000,22.0,2483.0,2483.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n544,TreeInterpreter,andosa/treeinterpreter,,interpretability,https://github.com/andosa/treeinterpreter,https://github.com/andosa/treeinterpreter,BSD-3-Clause,2015-08-02 20:26:21.000000,2021-02-28 18:33:06.000000,2021-02-28 18:33:06.000000,132,24.0,4.0,692.0,37.0,Package for interpreting scikit-learn's decision tree and random forest predictions.,11.0,22,True,2021-01-10 20:12:39.000000,0.2.3,5.0,treeinterpreter,,,,['sklearn'],202.0,184.0,https://pypi.org/project/treeinterpreter,2021-01-10 20:12:39.000000,18.0,172983.0,172983.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n545,Guild AI,guildai/guildai,,ml-experiments,https://github.com/guildai/guildai,https://github.com/guildai/guildai,Apache-2.0,2017-09-27 18:57:50.000000,2021-12-15 22:35:27.000000,2021-12-15 22:34:59.000000,58,119.0,174.0,648.0,4586.0,\"Experiment tracking, ML developer tools.\",18.0,22,True,2021-10-12 21:28:06.000000,0.7.4,174.0,guildai,,,,,41.0,41.0,https://pypi.org/project/guildai,2021-12-07 18:17:16.000000,,2146.0,2146.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n546,PDPbox,SauceCat/PDPbox,,data-viz,https://github.com/SauceCat/PDPbox,https://github.com/SauceCat/PDPbox,MIT,2017-06-26 08:01:54.000000,2021-06-24 15:32:01.000000,2021-03-14 16:01:01.000000,104,20.0,38.0,642.0,227.0,python partial dependence plot toolbox.,7.0,22,True,2021-03-14 16:21:17.000000,0.2.1,3.0,pdpbox,conda-forge/pdpbox,,,,495.0,461.0,https://pypi.org/project/pdpbox,2021-03-14 16:21:17.000000,34.0,54894.0,55251.0,https://anaconda.org/conda-forge/pdpbox,2021-03-14 19:37:51.465000,10356.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n547,AutoViz,AutoViML/AutoViz,,data-viz,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06.000000,2021-12-25 14:36:42.000000,2021-12-25 14:35:10.000000,91,6.0,36.0,582.0,123.0,\"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..\",11.0,22,True,2021-12-25 14:36:42.000000,0.1.35,47.0,autoviz,,,,,126.0,126.0,https://pypi.org/project/autoviz,2021-12-25 14:36:42.000000,0.0,22304.0,22304.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n548,combo,yzhao062/combo,,sklearn-utils,https://github.com/yzhao062/combo,https://github.com/yzhao062/combo,BSD-2-Clause,2019-07-14 01:13:36.000000,2021-10-02 13:57:54.000000,2021-10-02 13:57:52.000000,94,9.0,3.0,562.0,207.0,(AAAI' 20) A Python Toolbox for Machine Learning Model Combination.,1.0,22,True,2020-12-23 02:21:49.000000,0.1.2,12.0,combo,,,,\"['sklearn', 'xgboost']\",436.0,436.0,https://pypi.org/project/combo,2020-12-23 02:21:49.000000,0.0,51042.0,51042.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n549,PyTorch Sparse,rusty1s/pytorch_sparse,,pytorch-utils,https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53.000000,2021-11-13 22:13:04.000000,2021-11-13 22:13:02.000000,69,60.0,130.0,542.0,650.0,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,17.0,22,True,2021-09-08 09:32:15.000000,0.6.12,24.0,torch-sparse,,,,['pytorch'],34.0,,https://pypi.org/project/torch-sparse,2021-09-08 09:27:37.000000,34.0,18343.0,18343.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n550,PyWaffle,gyli/PyWaffle,,data-viz,https://github.com/gyli/PyWaffle,https://github.com/gyli/PyWaffle,MIT,2017-11-14 20:03:47.000000,2021-12-21 16:13:13.000000,2021-12-21 16:13:08.000000,80,3.0,12.0,463.0,262.0,Make Waffle Charts in Python.,6.0,22,True,2021-12-21 16:10:13.000000,0.6.4,25.0,pywaffle,,,,,105.0,105.0,https://pypi.org/project/pywaffle,2021-12-21 16:10:13.000000,0.0,2877.0,2877.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n551,pySBD,nipunsadvilkar/pySBD,,nlp,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20.000000,2021-04-25 08:42:15.000000,2021-02-11 16:40:18.000000,44,12.0,48.0,399.0,279.0,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,6.0,22,True,2021-02-11 16:42:37.000000,0.3.4,15.0,pysbd,,,,,262.0,258.0,https://pypi.org/project/pysbd,2021-02-11 16:36:33.000000,4.0,35998.0,35998.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n552,joypy,leotac/joypy,,data-viz,https://github.com/leotac/joypy,https://github.com/leotac/joypy,MIT,2017-07-30 17:18:50.000000,2021-12-21 20:58:11.000000,2021-12-19 09:41:43.000000,44,11.0,37.0,380.0,133.0,Joyplots in Python with matplotlib & pandas.,6.0,22,True,2021-12-19 09:42:50.000000,0.2.6,17.0,joypy,conda-forge/joypy,,,,119.0,113.0,https://pypi.org/project/joypy,2021-12-19 09:42:50.000000,6.0,15277.0,15643.0,https://anaconda.org/conda-forge/joypy,2020-12-28 14:07:53.760000,12089.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n553,Pandas Summary,mouradmourafiq/pandas-summary,,data-containers,https://github.com/polyaxon/datatile,https://github.com/polyaxon/datatile,Apache-2.0,2016-03-25 21:59:32.000000,2021-12-27 14:21:18.000000,2021-12-27 14:21:12.000000,37,7.0,7.0,375.0,27.0,\"A library for managing, validating, summarizing, and visualizing data.\",8.0,22,True,2021-11-25 22:52:42.000000,0.2.0,10.0,pandas-summary,,,,['pandas'],93.0,3.0,https://pypi.org/project/pandas-summary,2021-11-25 22:52:42.000000,90.0,37457.0,37457.0,,,,,,,,3.0,,,,,,,,,,,polyaxon/datatile,,,,,,,,,,\n554,vega,vega/ipyvega,,data-viz,https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000000,2021-12-07 22:16:34.000000,2021-12-02 08:13:40.000000,53,14.0,81.0,319.0,541.0,IPython/Jupyter notebook module for Vega and Vega-Lite.,10.0,22,True,2021-06-03 20:52:09.000000,3.5.0,38.0,vega,conda-forge/vega,,,['jupyter'],148.0,,https://pypi.org/project/vega,2021-06-03 20:52:09.000000,148.0,18078.0,25197.0,https://anaconda.org/conda-forge/vega,2021-11-18 16:21:37.805000,469864.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n555,SUOD,yzhao062/SUOD,,others,https://github.com/yzhao062/SUOD,https://github.com/yzhao062/SUOD,BSD-2-Clause,2019-11-20 00:23:54.000000,2021-10-02 14:00:14.000000,2021-10-02 14:00:01.000000,38,5.0,2.0,302.0,144.0,(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection).,1.0,22,True,2021-10-01 18:05:35.000000,0.0.8,9.0,suod,,,,,404.0,404.0,https://pypi.org/project/suod,2021-10-01 18:05:35.000000,,36422.0,36422.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n556,lazypredict,shankarpandala/lazypredict,,hyperopt,https://github.com/shankarpandala/lazypredict,https://github.com/shankarpandala/lazypredict,MIT,2019-11-16 09:56:35.000000,2021-12-18 16:17:09.000000,2021-10-18 15:23:12.000000,41,29.0,30.0,272.0,195.0,Lazy Predict help build a lot of basic models without much code and helps understand which models works better without..,16.0,22,False,2021-02-17 15:38:45.000000,0.2.9,11.0,lazypredict,,,,['sklearn'],209.0,209.0,https://pypi.org/project/lazypredict,2021-02-17 15:38:45.000000,,7977.0,7977.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n557,StaticFrame,InvestmentSystems/static-frame,,data-containers,https://github.com/InvestmentSystems/static-frame,https://github.com/InvestmentSystems/static-frame,MIT,2018-01-03 15:07:52.000000,2021-12-30 03:05:38.000000,2021-12-30 03:06:58.000000,23,40.0,321.0,258.0,3377.0,Immutable and grow-only Pandas-like DataFrames with a more explicit and consistent interface.,16.0,22,False,2021-12-20 19:41:09.000000,0.8.33,132.0,static-frame,conda-forge/static-frame,,,,10.0,10.0,https://pypi.org/project/static-frame,2021-12-20 19:39:53.000000,0.0,2233.0,6074.0,https://anaconda.org/conda-forge/static-frame,2021-12-20 22:01:27.147000,130610.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n558,AugLy,facebookresearch/AugLy,,others,https://github.com/facebookresearch/AugLy,https://github.com/facebookresearch/AugLy,MIT,2021-06-09 17:57:28.000000,2021-12-29 20:38:43.000000,2021-12-28 17:33:24.000000,213,14.0,41.0,4182.0,,\"A data augmentations library for audio, image, text, and video.\",14.0,21,True,2021-12-17 11:57:25.000000,0.2.1,16.0,augly,,,,,24.0,24.0,https://pypi.org/project/augly,2021-12-17 11:46:02.000000,0.0,1551.0,1551.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n559,DeepMatcher,anhaidgroup/deepmatcher,,nlp,https://github.com/anhaidgroup/deepmatcher,https://github.com/anhaidgroup/deepmatcher,BSD-3-Clause,2017-12-01 19:01:11.000000,2021-06-13 01:13:43.000000,2021-06-13 00:22:13.000000,1473,54.0,22.0,3948.0,176.0,Python package for performing Entity and Text Matching using Deep Learning.,7.0,21,True,2021-05-27 22:28:29.000000,0.1.2,13.0,deepmatcher,,,,,14.0,14.0,https://pypi.org/project/deepmatcher,2021-06-13 01:13:24.000000,,337.0,337.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n560,NeMo,NVIDIA/NeMo,,nlp,https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000000,2021-12-30 13:38:22.000000,2021-12-30 05:57:03.000000,799,56.0,837.0,3718.0,,NeMo: a toolkit for conversational AI.,123.0,21,True,2021-12-04 00:12:07.000000,1.5.1,45.0,nemo-toolkit,,,,['pytorch'],4.0,,https://pypi.org/project/nemo-toolkit,2021-12-04 00:12:07.000000,4.0,7163.0,7798.0,,,,,,,,3.0,,17154.0,,,,,,,,,,,,,,,,,,,\n561,TensorWatch,microsoft/tensorwatch,,ml-experiments,https://github.com/microsoft/tensorwatch,https://github.com/microsoft/tensorwatch,MIT,2019-05-15 08:29:34.000000,2021-04-13 09:44:02.000000,2021-01-15 19:46:05.000000,337,50.0,15.0,3194.0,112.0,\"Debugging, monitoring and visualization for Python Machine Learning and Data Science.\",13.0,21,True,2020-03-04 07:26:22.000000,0.9.1,14.0,tensorwatch,,,,,71.0,65.0,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22.000000,6.0,2957.0,2957.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n562,Coqui TTS,coqui-ai/TTS,,audio,https://github.com/coqui-ai/TTS,https://github.com/coqui-ai/TTS,MPL-2.0,2020-05-20 15:45:28.000000,2021-12-30 14:42:00.000000,2021-12-08 15:41:44.000000,246,25.0,170.0,2976.0,,\"- a deep learning toolkit for Text-to-Speech, battle-tested in research and production.\",81.0,21,True,2021-12-08 15:42:51.000000,0.4.2,20.0,tts,,,,\"['pytorch', 'tensorflow']\",,,https://pypi.org/project/tts,2017-07-14 20:02:42.000000,,3230.0,9288.0,,,,,,,,3.0,,54529.0,,,,,,,,,,,,,,,,,,,\n563,gpt-2-simple,minimaxir/gpt-2-simple,,nlp,https://github.com/minimaxir/gpt-2-simple,https://github.com/minimaxir/gpt-2-simple,MIT,2019-04-13 20:00:52.000000,2021-10-18 02:38:38.000000,2021-10-18 01:45:21.000000,591,151.0,93.0,2840.0,143.0,Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts.,18.0,21,True,2021-10-18 02:38:39.000000,0.8.1,18.0,gpt-2-simple,,,,['tensorflow'],6.0,,https://pypi.org/project/gpt-2-simple,2021-10-18 01:47:20.000000,6.0,5450.0,5458.0,,,,,,,,3.0,,282.0,,,,,,,,,,,,,,,,,,,\n564,Texthero,jbesomi/texthero,,nlp,https://github.com/jbesomi/texthero,https://github.com/jbesomi/texthero,MIT,2020-04-06 15:16:05.000000,2021-07-19 13:56:08.000000,2021-07-19 13:56:08.000000,207,76.0,59.0,2409.0,269.0,\"Text preprocessing, representation and visualization from zero to hero.\",18.0,21,True,2021-07-01 17:11:02.000000,1.1.0,10.0,texthero,,,,,0.0,,https://pypi.org/project/texthero,2021-07-01 17:11:02.000000,0.0,14740.0,14744.0,,,,,,,,3.0,,87.0,,,,,,,,,,,,,,,,,,,\n565,PARL,PaddlePaddle/PARL,,reinforcement-learning,https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22.000000,2021-12-30 06:45:32.000000,2021-12-30 05:35:11.000000,605,71.0,225.0,2365.0,1.0,A high-performance distributed training framework for Reinforcement Learning.,28.0,21,True,2021-12-30 06:45:32.000000,2.0.3,23.0,parl,,,,['paddle'],85.0,85.0,https://pypi.org/project/parl,2021-12-30 06:45:32.000000,,840.0,840.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n566,pytorchvideo,facebookresearch/pytorchvideo,,image,https://github.com/facebookresearch/pytorchvideo,https://github.com/facebookresearch/pytorchvideo,Apache-2.0,2021-03-09 20:39:13.000000,2021-12-20 05:16:26.000000,2021-12-01 18:27:35.000000,203,41.0,63.0,2180.0,,A deep learning library for video understanding research.,24.0,21,True,2021-09-14 00:17:10.000000,0.1.3,8.0,pytorchvideo,,,,['pytorch'],0.0,,https://pypi.org/project/pytorchvideo,2021-09-14 00:17:10.000000,0.0,10473.0,10473.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n567,lightseq,bytedance/lightseq,,nlp,https://github.com/bytedance/lightseq,https://github.com/bytedance/lightseq,Apache-2.0,2019-12-06 08:25:24.000000,2021-12-29 17:26:08.000000,2021-12-29 04:31:35.000000,191,70.0,69.0,1911.0,179.0,LightSeq: A High Performance Library for Sequence Processing and Generation.,7.0,21,True,2021-11-30 07:39:10.000000,2.2.1,18.0,lightseq,,,,,,,https://pypi.org/project/lightseq,2021-11-30 07:39:10.000000,,1442.0,1464.0,,,,,,,,3.0,,533.0,,,,,,,,,,,,,,,,,,,\n568,Sweetviz,fbdesignpro/sweetviz,,data-viz,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47.000000,2021-10-01 14:11:39.000000,2021-07-08 14:31:20.000000,185,27.0,70.0,1860.0,102.0,\"Visualize and compare datasets, target values and associations, with one line of code.\",6.0,21,True,2021-07-08 14:32:09.000000,2.1.3,31.0,sweetviz,,,,,0.0,,https://pypi.org/project/sweetviz,2021-07-08 14:32:09.000000,0.0,54134.0,54134.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n569,Neural Tangents,google/neural-tangents,,ml-frameworks,https://github.com/google/neural-tangents,https://github.com/google/neural-tangents,Apache-2.0,2019-04-08 16:48:48.000000,2021-12-14 11:50:25.000000,2021-12-14 11:50:25.000000,182,31.0,71.0,1647.0,,Fast and Easy Infinite Neural Networks in Python.,21.0,21,True,2021-11-17 06:35:11.000000,0.3.9,23.0,neural-tangents,,,,,27.0,27.0,https://pypi.org/project/neural-tangents,2021-11-17 06:30:38.000000,0.0,384.0,394.0,,,,,,,,3.0,,185.0,,,,,,,,,,,,,,,,,,,\n570,hiddenlayer,waleedka/hiddenlayer,,ml-experiments,https://github.com/waleedka/hiddenlayer,https://github.com/waleedka/hiddenlayer,MIT,2018-05-18 22:34:51.000000,2021-10-16 05:29:37.000000,2020-04-24 06:58:09.000000,220,46.0,34.0,1563.0,58.0,\"Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.\",6.0,21,False,2018-12-03 04:33:29.000000,0.2,3.0,hiddenlayer,,,,\"['pytorch', 'tensorflow', 'jupyter']\",97.0,89.0,https://pypi.org/project/hiddenlayer,2020-04-24 07:32:11.000000,8.0,1877.0,1877.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n571,lore,instacart/lore,,ml-experiments,https://github.com/instacart/lore,https://github.com/instacart/lore,MIT,2017-10-19 21:51:45.000000,2021-11-22 20:05:31.000000,2020-05-11 22:26:45.000000,122,16.0,18.0,1536.0,270.0,Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers.,22.0,21,False,2020-05-11 22:28:23.000000,0.8.4,231.0,lore,,,,,18.0,17.0,https://pypi.org/project/lore,2020-05-11 22:28:23.000000,1.0,207.0,207.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n572,TabNet,dreamquark-ai/tabnet,,pytorch-utils,https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000000,2021-12-27 18:05:54.000000,2021-12-27 18:05:53.000000,299,38.0,165.0,1482.0,168.0,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,19.0,21,True,2021-02-02 08:05:11.000000,3.1.1,17.0,pytorch-tabnet,,,,['pytorch'],0.0,,https://pypi.org/project/pytorch-tabnet,2021-02-02 08:05:11.000000,0.0,33934.0,33934.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n573,FARM,deepset-ai/FARM,,nlp,https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12.000000,2021-11-23 16:56:58.000000,2021-11-23 16:56:58.000000,207,38.0,383.0,1444.0,592.0,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,36.0,21,True,2021-06-10 09:45:12.000000,0.8.0,24.0,farm,,,,['pytorch'],2.0,,https://pypi.org/project/farm,2021-06-10 09:41:53.000000,2.0,4396.0,4396.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n574,jiant,nyu-mll/jiant,,nlp,https://github.com/nyu-mll/jiant,https://github.com/nyu-mll/jiant,MIT,2018-06-18 18:12:47.000000,2021-12-13 20:47:05.000000,2021-10-17 21:25:23.000000,260,62.0,485.0,1360.0,1921.0,jiant is an nlp toolkit.,56.0,21,True,2021-05-10 18:56:39.000000,2.2.0,19.0,jiant,,,,,2.0,2.0,https://pypi.org/project/jiant,2021-05-10 18:56:39.000000,,154.0,154.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n575,Higher,facebookresearch/higher,,pytorch-utils,https://github.com/facebookresearch/higher,https://github.com/facebookresearch/higher,Apache-2.0,2019-09-06 18:58:36.000000,2021-11-30 14:53:11.000000,2021-10-26 07:08:33.000000,93,45.0,50.0,1306.0,,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,9.0,21,True,2020-07-14 12:20:32.000000,0.2.1,2.0,higher,,,,['pytorch'],102.0,102.0,https://pypi.org/project/higher,2020-07-14 12:20:32.000000,0.0,17482.0,17482.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n576,Pypeline,cgarciae/pypeln,,data-pipelines,https://github.com/cgarciae/pypeln,https://github.com/cgarciae/pypeln,MIT,2018-09-01 13:43:31.000000,2021-12-21 05:58:19.000000,2021-04-13 00:55:39.000000,76,14.0,39.0,1295.0,235.0,Concurrent data pipelines in Python .,10.0,21,True,2021-01-05 18:00:06.000000,0.4.7,34.0,pypeln,,,,,10.0,,https://pypi.org/project/pypeln,2021-01-05 18:00:06.000000,10.0,7236.0,7236.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n577,MLBox,AxeldeRomblay/MLBox,,hyperopt,https://github.com/AxeldeRomblay/MLBox,https://github.com/AxeldeRomblay/MLBox,BSD-1-Clause,2017-06-01 16:59:24.000000,2021-08-25 15:38:03.000000,2020-08-25 09:26:27.000000,259,16.0,74.0,1273.0,1121.0,MLBox is a powerful Automated Machine Learning python library.,9.0,21,False,2020-08-25 09:32:37.000000,0.8.5,21.0,mlbox,,,,,28.0,28.0,https://pypi.org/project/mlbox,2020-08-25 09:32:37.000000,,2731.0,2731.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n578,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,,pytorch-utils,https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000000,2021-12-29 20:02:14.000000,2021-12-29 20:02:10.000000,86,4.0,18.0,1169.0,744.0,PyTorch extensions for fast R&D prototyping and Kaggle farming.,7.0,21,True,2021-08-12 07:49:51.000000,0.4.4,22.0,pytorch_toolbelt,,,,['pytorch'],2.0,,https://pypi.org/project/pytorch_toolbelt,2021-08-12 07:49:51.000000,2.0,10341.0,10341.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n579,fairlearn,fairlearn/fairlearn,,interpretability,https://github.com/fairlearn/fairlearn,https://github.com/fairlearn/fairlearn,MIT,2018-05-15 01:51:35.000000,2021-12-21 00:35:33.000000,2021-12-15 16:38:40.000000,270,134.0,199.0,1148.0,,A Python package to assess and improve fairness of machine learning models.,61.0,21,True,2021-07-07 08:16:09.000000,0.7.0,16.0,fairlearn,conda-forge/fairlearn,,,['sklearn'],2.0,,https://pypi.org/project/fairlearn,2021-07-07 05:54:23.000000,2.0,24656.0,25406.0,https://anaconda.org/conda-forge/fairlearn,2021-07-07 15:56:16.605000,16509.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n580,luminol,linkedin/luminol,,time-series-data,https://github.com/linkedin/luminol,https://github.com/linkedin/luminol,Apache-2.0,2015-11-18 23:16:33.000000,2020-12-27 09:54:35.000000,2018-01-09 07:46:55.000000,194,31.0,12.0,985.0,69.0,Anomaly Detection and Correlation library.,8.0,21,False,2016-01-20 01:01:44.000000,0.3.1,5.0,luminol,,,,,76.0,48.0,https://pypi.org/project/luminol,2017-12-11 06:04:15.000000,28.0,42276.0,42276.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n581,DALEX,ModelOriented/DALEX,,interpretability,https://github.com/ModelOriented/DALEX,https://github.com/ModelOriented/DALEX,GPL-3.0,2018-02-18 03:24:12.000000,2021-11-08 12:23:05.000000,2021-11-08 12:23:03.000000,123,16.0,312.0,976.0,594.0,moDel Agnostic Language for Exploration and eXplanation.,20.0,21,False,2021-11-08 12:22:11.000000,1.4.1,23.0,dalex,,,,,29.0,29.0,https://pypi.org/project/dalex,2021-11-08 12:22:11.000000,0.0,8257.0,8257.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n582,TFEncrypted,tf-encrypted/tf-encrypted,,privacy-ml,https://github.com/tf-encrypted/tf-encrypted,https://github.com/tf-encrypted/tf-encrypted,Apache-2.0,2018-03-21 18:22:13.000000,2021-04-21 08:39:31.000000,2020-08-19 16:56:56.000000,169,172.0,236.0,969.0,595.0,A Framework for Encrypted Machine Learning in TensorFlow.,28.0,21,False,2019-09-27 20:00:01.000000,0.5.9,35.0,tf-encrypted,,,,['tensorflow'],75.0,59.0,https://pypi.org/project/tf-encrypted,2019-10-21 18:05:53.000000,16.0,451.0,451.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n583,keras-ocr,faustomorales/keras-ocr,,ocr,https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50.000000,2021-11-24 10:16:01.000000,2021-11-24 10:01:11.000000,239,47.0,105.0,958.0,184.0,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,12.0,21,True,2021-11-24 10:05:08.000000,0.8.9,29.0,keras-ocr,,,,['tensorflow'],2.0,,https://pypi.org/project/keras-ocr,2021-11-24 10:05:08.000000,2.0,4313.0,18482.0,,,,,,,,3.0,,212546.0,,,,,,,,,,,,,,,,,,,\n584,fastFM,ibayer/fastFM,,recommender-systems,https://github.com/ibayer/fastFM,https://github.com/ibayer/fastFM,BSD-3-Clause,2014-10-27 12:25:51.000000,2021-12-06 14:42:35.000000,2021-03-24 12:22:31.000000,190,46.0,60.0,956.0,297.0,fastFM: A Library for Factorization Machines.,20.0,21,True,2017-11-23 06:59:56.000000,0.2.11,10.0,fastfm,,,,,101.0,93.0,https://pypi.org/project/fastfm,2017-11-23 06:59:56.000000,8.0,746.0,751.0,,,,,,,,3.0,-1.0,424.0,,,,,,,,,,,,,,,,,,,\n585,keract,philipperemy/keract,,interpretability,https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57.000000,2021-09-24 23:52:45.000000,2021-07-28 09:17:30.000000,183,2.0,81.0,952.0,382.0,Layers Outputs and Gradients in Keras. Made easy.,16.0,21,True,2021-06-19 16:14:57.000000,4.5.0,38.0,keract,,,,['tensorflow'],112.0,107.0,https://pypi.org/project/keract,2021-06-19 16:14:15.000000,5.0,1194.0,1194.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n586,attention-ocr,emedvedev/attention-ocr,,ocr,https://github.com/emedvedev/attention-ocr,https://github.com/emedvedev/attention-ocr,MIT,2017-07-21 18:35:19.000000,2021-10-29 14:44:11.000000,2021-10-29 14:44:08.000000,240,22.0,126.0,884.0,205.0,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,27.0,21,True,2020-10-12 06:56:40.000000,0.7.6,21.0,aocr,,,,['tensorflow'],18.0,18.0,https://pypi.org/project/aocr,2019-04-19 05:28:27.000000,,228.0,228.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n587,Satpy,pytroll/satpy,,geospatial-data,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000000,2021-12-28 15:46:33.000000,2021-12-27 20:26:49.000000,224,363.0,423.0,786.0,,Python package for earth-observing satellite data processing.,120.0,21,False,2021-12-17 18:19:32.000000,0.33.1,74.0,satpy,conda-forge/satpy,,,,63.0,57.0,https://pypi.org/project/satpy,2021-12-17 18:19:32.000000,6.0,1434.0,3378.0,https://anaconda.org/conda-forge/satpy,2021-12-17 21:16:26.729000,79713.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n588,YouTokenToMe,vkcom/youtokentome,,nlp,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28.000000,2021-01-28 23:05:01.000000,2021-01-28 19:04:09.000000,57,28.0,23.0,781.0,79.0,Unsupervised text tokenizer focused on computational efficiency.,6.0,21,True,2020-02-13 09:57:47.000000,1.0.6,14.0,youtokentome,,,,,204.0,192.0,https://pypi.org/project/youtokentome,2020-02-12 18:24:46.000000,12.0,36531.0,36531.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n589,PFRL,pfnet/pfrl,,reinforcement-learning,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50.000000,2021-12-19 23:44:41.000000,2021-12-06 07:44:27.000000,99,27.0,33.0,756.0,388.0,PFRL: a PyTorch-based deep reinforcement learning library.,15.0,21,True,2021-07-07 02:43:23.000000,0.3.0,5.0,pfrl,,,,,29.0,29.0,https://pypi.org/project/pfrl,2021-07-07 02:48:20.000000,0.0,2441.0,2441.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n590,scikit-lego,koaning/scikit-lego,,sklearn-utils,https://github.com/koaning/scikit-lego,https://github.com/koaning/scikit-lego,MIT,2019-01-21 15:30:15.000000,2021-12-21 18:05:34.000000,2021-12-21 08:08:48.000000,77,32.0,205.0,677.0,,Extra blocks for scikit-learn pipelines.,48.0,21,True,2021-12-09 11:34:28.000000,0.6.9,35.0,scikit-lego,conda-forge/scikit-lego,,,['sklearn'],39.0,39.0,https://pypi.org/project/scikit-lego,2021-12-09 11:39:03.000000,0.0,25534.0,26167.0,https://anaconda.org/conda-forge/scikit-lego,2021-12-09 15:20:11.388000,16473.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n591,pdpipe,pdpipe/pdpipe,,data-pipelines,https://github.com/pdpipe/pdpipe,https://github.com/pdpipe/pdpipe,MIT,2017-01-24 20:37:22.000000,2021-12-26 16:26:57.000000,2021-12-26 16:26:54.000000,30,14.0,26.0,634.0,374.0,Easy pipelines for pandas DataFrames.,9.0,21,True,2021-12-26 16:20:20.000000,0.0.71,67.0,pdpipe,,,,['pandas'],38.0,38.0,https://pypi.org/project/pdpipe,2021-12-26 16:19:18.000000,0.0,2031.0,2031.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n592,nnAudio,KinWaiCheuk/nnAudio,,audio,https://github.com/KinWaiCheuk/nnAudio,https://github.com/KinWaiCheuk/nnAudio,MIT,2019-09-02 04:31:14.000000,2021-12-24 09:38:22.000000,2021-12-24 09:32:42.000000,59,11.0,37.0,625.0,281.0,Audio processing by using pytorch 1D convolution network.,13.0,21,True,2021-12-24 09:38:22.000000,0.3.1,38.0,nnAudio,,,,,38.0,38.0,https://pypi.org/project/nnAudio,2021-12-24 09:38:22.000000,0.0,1298.0,1298.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n593,TensorBoard Logger,TeamHG-Memex/tensorboard_logger,,ml-experiments,https://github.com/TeamHG-Memex/tensorboard_logger,https://github.com/TeamHG-Memex/tensorboard_logger,MIT,2016-10-27 14:02:25.000000,2021-11-15 17:46:29.000000,2019-10-21 07:52:07.000000,51,11.0,15.0,619.0,46.0,Log TensorBoard events without touching TensorFlow.,5.0,21,False,2018-02-08 07:28:51.000000,0.1.0,5.0,tensorboard_logger,,,,,96.0,,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51.000000,96.0,41565.0,41565.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n594,HpBandSter,automl/HpBandSter,,hyperopt,https://github.com/automl/HpBandSter,https://github.com/automl/HpBandSter,BSD-3-Clause,2017-12-17 20:28:20.000000,2021-01-31 10:05:37.000000,2019-03-26 09:26:28.000000,107,57.0,35.0,506.0,187.0,a distributed Hyperband implementation on Steroids.,11.0,21,False,2019-07-30 12:47:43.000000,1.0,8.0,hpbandster,,,,,203.0,187.0,https://pypi.org/project/hpbandster,2018-11-06 12:56:55.000000,16.0,17940.0,17940.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n595,Neuraxle,Neuraxio/Neuraxle,,hyperopt,https://github.com/Neuraxio/Neuraxle,https://github.com/Neuraxio/Neuraxle,Apache-2.0,2019-03-26 21:01:54.000000,2021-12-21 23:55:18.000000,2021-11-01 21:10:39.000000,52,142.0,200.0,493.0,1593.0,A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right..,7.0,21,True,2021-10-17 21:12:29.000000,0.6.1,22.0,neuraxle,,,,,24.0,24.0,https://pypi.org/project/neuraxle,2021-10-17 21:07:02.000000,0.0,350.0,350.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n596,random-forest-importances,parrt/random-forest-importances,,interpretability,https://github.com/parrt/random-forest-importances,https://github.com/parrt/random-forest-importances,MIT,2018-03-22 19:20:13.000000,2021-01-30 21:50:08.000000,2021-01-30 21:50:02.000000,108,6.0,28.0,488.0,249.0,Code to compute permutation and drop-column importances in Python scikit-learn models.,14.0,21,True,2021-01-28 23:23:17.000000,1.3.7,22.0,rfpimp,,,,['sklearn'],92.0,88.0,https://pypi.org/project/rfpimp,2021-01-28 23:19:33.000000,4.0,15324.0,15324.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n597,torch-cluster,rusty1s/pytorch_cluster,,graph,https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06.000000,2021-12-28 16:58:21.000000,2021-12-28 16:56:52.000000,84,37.0,84.0,456.0,564.0,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,19.0,21,True,2021-03-01 13:58:47.000000,1.5.9,39.0,torch-cluster,,,,['pytorch'],32.0,,https://pypi.org/project/torch-cluster,2021-03-01 12:28:43.000000,32.0,8933.0,8933.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n598,pivottablejs,nicolaskruchten/jupyter_pivottablejs,,data-viz,https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,MIT,2015-09-09 13:39:18.000000,2018-12-04 14:43:26.000000,2018-12-04 14:43:25.000000,61,16.0,40.0,452.0,32.0,\"Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js.\",3.0,21,False,2018-01-15 18:14:37.000000,0.9.0,10.0,pivottablejs,,,,['jupyter'],241.0,207.0,https://pypi.org/project/pivottablejs,2018-01-15 18:14:37.000000,34.0,13877.0,13877.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n599,imodels,csinva/imodels,,interpretability,https://github.com/csinva/imodels,https://github.com/csinva/imodels,MIT,2019-07-04 15:38:48.000000,2021-12-29 05:21:28.000000,2021-12-29 05:21:23.000000,40,3.0,14.0,412.0,504.0,\"Interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible).\",7.0,21,True,2021-12-07 19:56:28.000000,1.2.1,17.0,imodels,,,,,10.0,10.0,https://pypi.org/project/imodels,2021-12-07 19:56:28.000000,,1292.0,1292.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n600,MedPy,loli/medpy,,medical-data,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34.000000,2020-05-01 15:25:39.000000,2020-05-01 15:25:38.000000,115,12.0,67.0,383.0,324.0,Medical image processing in Python.,13.0,21,False,2019-02-14 17:12:59.000000,0.4.0,6.0,MedPy,,,,,489.0,459.0,https://pypi.org/project/MedPy,2019-02-14 17:12:59.000000,30.0,12516.0,12516.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n601,optunity,claesenm/optunity,,hyperopt,https://github.com/claesenm/optunity,https://github.com/claesenm/optunity,BSD-3-Clause,2014-05-28 17:29:11.000000,2020-05-11 14:32:39.000000,2020-05-11 14:32:38.000000,73,47.0,48.0,378.0,782.0,optimization routines for hyperparameter tuning.,9.0,21,False,2015-09-30 05:02:00.000000,1.1.1,6.0,optunity,,,,,93.0,69.0,https://pypi.org/project/optunity,2015-09-30 05:02:00.000000,24.0,13784.0,13784.0,,,,,,,,3.0,,67.0,,,,,,,,,,,,,,,,,,,\n602,scikit-rebate,EpistasisLab/scikit-rebate,,others,https://github.com/EpistasisLab/scikit-rebate,https://github.com/EpistasisLab/scikit-rebate,MIT,2016-09-19 13:36:17.000000,2021-12-29 00:49:30.000000,2021-02-15 17:10:59.000000,61,13.0,19.0,340.0,283.0,\"A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for..\",13.0,21,True,2017-04-12 16:12:01.000000,0.3.4,13.0,skrebate,,,,['sklearn'],62.0,,https://pypi.org/project/skrebate,2021-03-20 17:11:52.000000,62.0,3623.0,3623.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n603,Hyperactive,SimonBlanke/Hyperactive,,hyperopt,https://github.com/SimonBlanke/Hyperactive,https://github.com/SimonBlanke/Hyperactive,MIT,2018-11-01 08:53:30.000000,2021-12-14 10:35:19.000000,2021-12-14 10:35:19.000000,32,7.0,34.0,336.0,2056.0,An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.,4.0,21,True,2021-12-05 15:03:12.000000,4.0.2,63.0,hyperactive,,,,,11.0,11.0,https://pypi.org/project/hyperactive,2021-12-05 15:03:12.000000,0.0,1004.0,1007.0,,,,,,,,3.0,,97.0,,,,,,,,,,,,,,,,,,,\n604,EarthPy,earthlab/earthpy,,geospatial-data,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000000,2021-12-29 07:01:15.000000,2021-12-20 23:24:01.000000,123,16.0,207.0,309.0,,A package built to support working with spatial data using open source python.,40.0,21,True,2021-10-01 22:51:04.000000,0.9.4,23.0,earthpy,conda-forge/earthpy,,,,123.0,117.0,https://pypi.org/project/earthpy,2021-10-01 22:51:04.000000,6.0,4437.0,5685.0,https://anaconda.org/conda-forge/earthpy,2021-10-04 19:35:49.510000,39937.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n605,huggingface_hub,huggingface/huggingface_hub,,model-serialisation,https://github.com/huggingface/huggingface_hub,https://github.com/huggingface/huggingface_hub,Apache-2.0,2020-12-22 10:20:28.000000,2021-12-30 10:05:48.000000,2021-12-24 07:14:55.000000,61,88.0,87.0,305.0,,All the open source things related to the Hugging Face Hub.,47.0,21,True,2021-12-03 08:02:59.000000,0.2.1,24.0,huggingface_hub,conda-forge/huggingface_hub,,,,0.0,,https://pypi.org/project/huggingface_hub,2021-12-03 08:02:59.000000,0.0,2028297.0,2030602.0,https://anaconda.org/conda-forge/huggingface_hub,2021-12-03 12:55:49.145000,23058.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n606,impyute,eltonlaw/impyute,,others,https://github.com/eltonlaw/impyute,https://github.com/eltonlaw/impyute,MIT,2017-01-21 09:16:27.000000,2021-11-06 21:15:04.000000,2021-11-06 21:15:04.000000,43,27.0,37.0,301.0,292.0,Data imputations library to preprocess datasets with missing data.,11.0,21,True,2019-04-29 02:31:32.000000,0.0.8,8.0,impyute,,,,,125.0,121.0,https://pypi.org/project/impyute,2019-04-29 02:31:32.000000,4.0,1971.0,1971.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n607,nvidia-ml-py3,nicolargo/nvidia-ml-py3,,gpu-utilities,https://github.com/nicolargo/nvidia-ml-py3,https://github.com/nicolargo/nvidia-ml-py3,BSD-3-Clause,2017-06-03 07:47:03.000000,2019-03-06 20:41:10.000000,2019-03-06 20:41:09.000000,49,2.0,,71.0,5.0,Python 3 Bindings for the NVIDIA Management Library.,2.0,21,False,2017-06-03 07:43:46.000000,7.352.0,1.0,nvidia-ml-py3,,,,,4902.0,4682.0,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46.000000,220.0,953631.0,953631.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n608,Dejavu,worldveil/dejavu,,audio,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35.000000,2020-10-29 17:40:17.000000,2020-06-03 05:58:03.000000,1250,84.0,129.0,5618.0,146.0,Audio fingerprinting and recognition in Python.,23.0,20,False,2015-04-19 21:20:16.000000,0.1.3,4.0,PyDejavu,,,,,23.0,20.0,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16.000000,3.0,93.0,93.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n609,MMF,facebookresearch/mmf,,image,https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40.000000,2021-12-27 15:14:56.000000,2021-12-20 08:33:48.000000,778,189.0,416.0,4735.0,,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,89.0,20,True,2019-08-26 19:04:21.000000,0.3.1,12.0,mmf,,,,['pytorch'],10.0,10.0,https://pypi.org/project/mmf,2020-06-12 22:15:02.000000,0.0,673.0,673.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n610,mace,XiaoMi/mace,,ml-frameworks,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12.000000,2021-12-06 07:43:58.000000,2021-12-06 07:43:40.000000,773,41.0,612.0,4546.0,3306.0,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,63.0,20,True,2021-03-18 10:07:32.000000,1.0.4,11.0,,,,,,,,,,,,34.0,,,,,,,,3.0,,1396.0,,,,,,,,,,,,,,,,,,,\n611,cuDF,rapidsai/cudf,,gpu-utilities,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000000,2021-12-30 02:27:33.000000,2021-12-29 07:04:31.000000,581,695.0,3598.0,4390.0,,cuDF - GPU DataFrame Library.,227.0,20,True,2021-12-16 18:48:18.000000,21.12.02,21.0,cudf,,,,,4.0,,https://pypi.org/project/cudf,2020-06-01 20:07:47.000000,4.0,931.0,931.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n612,AdaBound,Luolc/AdaBound,,pytorch-utils,https://github.com/Luolc/AdaBound,https://github.com/Luolc/AdaBound,Apache-2.0,2019-02-15 18:05:20.000000,2019-03-06 17:01:52.000000,2019-03-06 17:01:45.000000,327,17.0,7.0,2884.0,27.0,An optimizer that trains as fast as Adam and as good as SGD.,2.0,20,False,2019-03-06 16:44:42.000000,0.0.5,4.0,adabound,,,,['pytorch'],138.0,126.0,https://pypi.org/project/adabound,2019-02-26 04:23:45.000000,12.0,1494.0,1494.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n613,finmarketpy,cuemacro/finmarketpy,,financial-data,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03.000000,2021-10-07 14:58:03.000000,2021-10-07 14:55:28.000000,448,23.0,3.0,2822.0,678.0,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,14.0,20,True,2021-10-07 14:58:03.000000,0.11.11,12.0,finmarketpy,,,,,4.0,4.0,https://pypi.org/project/finmarketpy,2021-10-07 14:58:03.000000,,95.0,95.0,,,,,,,,3.0,,40.0,,,,,,,,,,,,,,,,,,,\n614,dpark,douban/dpark,,data-pipelines,https://github.com/douban/dpark,https://github.com/douban/dpark,BSD-3-Clause,2012-04-11 08:35:06.000000,2020-12-25 10:36:06.000000,2020-12-25 10:36:05.000000,554,,60.0,2670.0,1467.0,\"Python clone of Spark, a MapReduce alike framework in Python.\",35.0,20,True,2018-07-27 04:11:36.000000,0.5.0,19.0,dpark,,,,['spark'],6.0,5.0,https://pypi.org/project/dpark,2018-07-27 04:11:36.000000,1.0,92.0,92.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n615,StreamAlert,airbnb/streamalert,,others,https://github.com/airbnb/streamalert,https://github.com/airbnb/streamalert,Apache-2.0,2017-01-22 01:10:56.000000,2021-12-06 17:56:08.000000,2021-11-04 18:52:02.000000,322,84.0,257.0,2637.0,1900.0,\"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data..\",33.0,20,True,2021-11-04 19:07:51.000000,3.5.0,28.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n616,cleanlab,cgnorthcutt/cleanlab,,others,https://github.com/cleanlab/cleanlab,https://github.com/cleanlab/cleanlab,AGPL-3.0,2018-05-11 01:55:21.000000,2021-12-27 15:00:37.000000,2021-12-25 14:28:48.000000,245,34.0,47.0,2562.0,692.0,\"The standard package for machine learning with noisy labels, finding mislabeled data, and uncertainty quantification...\",6.0,20,False,2021-04-18 19:52:49.000000,1.0,15.0,cleanlab,,,,,24.0,24.0,https://pypi.org/project/cleanlab,2020-02-17 07:33:06.000000,0.0,4803.0,4803.0,,,,,,,,3.0,,,,,,,,,,,cleanlab/cleanlab,,,,,,,,,,\n617,Luminoth,tryolabs/luminoth,,image,https://github.com/tryolabs/luminoth,https://github.com/tryolabs/luminoth,BSD-3-Clause,2017-02-16 15:07:46.000000,2021-08-25 16:02:32.000000,2020-01-07 20:53:25.000000,413,60.0,128.0,2386.0,838.0,Deep Learning toolkit for Computer Vision.,15.0,20,False,2018-11-09 21:35:17.000000,0.2.3,10.0,luminoth,,,,['tensorflow'],41.0,39.0,https://pypi.org/project/luminoth,2018-11-09 21:35:17.000000,2.0,802.0,1042.0,,,,,,,,3.0,,12037.0,,,,,,,,,,,,,,,,,,,\n618,DeepWalk,phanein/deepwalk,,graph,https://github.com/phanein/deepwalk,https://github.com/phanein/deepwalk,GPL-3.0,2014-08-23 03:38:20.000000,2021-09-16 12:01:08.000000,2020-04-02 01:05:35.000000,782,37.0,80.0,2371.0,46.0,DeepWalk - Deep Learning for Graphs.,10.0,20,False,2018-04-29 21:05:18.000000,1.0.3,4.0,deepwalk,,,,,54.0,47.0,https://pypi.org/project/deepwalk,2018-04-29 21:05:18.000000,7.0,2296.0,2296.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n619,vissl,facebookresearch/vissl,,image,https://github.com/facebookresearch/vissl,https://github.com/facebookresearch/vissl,MIT,2020-04-09 19:40:33.000000,2021-12-30 01:48:36.000000,2021-12-29 17:38:10.000000,219,44.0,86.0,2255.0,,\"VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.\",30.0,20,True,2021-11-02 17:21:02.000000,0.1.6,6.0,vissl,,,,['pytorch'],4.0,4.0,https://pypi.org/project/vissl,2021-11-02 15:36:07.000000,0.0,187.0,187.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n620,Kashgari,BrikerMan/Kashgari,,nlp,https://github.com/BrikerMan/Kashgari,https://github.com/BrikerMan/Kashgari,Apache-2.0,2019-01-19 01:53:28.000000,2021-07-09 03:57:16.000000,2021-07-09 03:57:16.000000,423,36.0,326.0,2240.0,,Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-..,21.0,20,True,2021-07-04 10:44:36.000000,2.0.2,24.0,kashgari-tf,,,,['tensorflow'],51.0,49.0,https://pypi.org/project/kashgari-tf,2019-10-18 07:57:55.000000,2.0,52.0,52.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n621,HiPlot,facebookresearch/hiplot,,data-viz,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41.000000,2021-11-05 18:07:40.000000,2021-11-05 17:54:23.000000,105,10.0,61.0,2225.0,,HiPlot makes understanding high dimensional data easy.,7.0,20,True,2021-11-04 14:37:14.000000,0.1.32,94.0,hiplot,conda-forge/hiplot,,,,3.0,3.0,https://pypi.org/project/hiplot,2021-11-05 18:07:40.000000,0.0,9736.0,13094.0,https://anaconda.org/conda-forge/hiplot,2021-11-05 06:41:13.441000,73894.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n622,Coach,IntelLabs/coach,,reinforcement-learning,https://github.com/IntelLabs/coach,https://github.com/IntelLabs/coach,Apache-2.0,2017-10-01 19:27:43.000000,2021-12-27 09:52:12.000000,2021-06-28 07:40:53.000000,408,87.0,183.0,2085.0,521.0,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,35.0,20,True,2019-10-10 14:17:10.000000,1.0.1,13.0,rl_coach,,,,,2.0,,https://pypi.org/project/rl_coach,2019-10-10 14:17:10.000000,2.0,169.0,169.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n623,fast-bert,utterworks/fast-bert,,nlp,https://github.com/utterworks/fast-bert,https://github.com/utterworks/fast-bert,Apache-2.0,2019-04-18 22:01:20.000000,2021-12-24 21:15:22.000000,2021-12-23 00:33:36.000000,330,150.0,94.0,1684.0,,Super easy library for BERT based NLP models.,35.0,20,True,2021-12-22 22:11:59.000000,1.9.12,46.0,fast-bert,,,,,2.0,,https://pypi.org/project/fast-bert,2021-12-22 22:11:59.000000,2.0,1533.0,1533.0,,,,,,,,3.0,3.0,,,,,,,,,,,,,,,,,,,,\n624,AmpliGraph,Accenture/AmpliGraph,,graph,https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05.000000,2021-09-24 18:27:27.000000,2021-05-25 16:49:48.000000,191,20.0,181.0,1665.0,947.0,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,19.0,20,True,2021-05-25 16:57:42.000000,1.4.0,12.0,ampligraph,,,,['tensorflow'],17.0,17.0,https://pypi.org/project/ampligraph,2021-05-25 16:47:29.000000,,923.0,923.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n625,Haiku,deepmind/dm-haiku,,ml-frameworks,https://github.com/deepmind/dm-haiku,https://github.com/deepmind/dm-haiku,Apache-2.0,2020-02-18 07:14:02.000000,2021-12-24 12:42:38.000000,2021-12-23 10:57:21.000000,120,33.0,94.0,1620.0,,JAX-based neural network library.,53.0,20,True,2021-11-01 13:18:04.000000,0.0.5,7.0,,,,,,277.0,277.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n626,riko,nerevu/riko,,data-pipelines,https://github.com/nerevu/riko,https://github.com/nerevu/riko,MIT,2016-06-02 12:22:51.000000,2021-12-28 23:04:04.000000,2021-12-28 23:01:31.000000,75,22.0,8.0,1574.0,1269.0,A Python stream processing engine modeled after Yahoo! Pipes.,18.0,20,True,2021-12-28 23:04:04.000000,0.67.0,59.0,riko,,,,,1.0,,https://pypi.org/project/riko,2021-12-28 23:04:04.000000,1.0,190.0,190.0,,,,,,,,3.0,3.0,,,,,,,,,,,,,,,,,,,,\n627,auto_ml,ClimbsRocks/auto_ml,,hyperopt,https://github.com/ClimbsRocks/auto_ml,https://github.com/ClimbsRocks/auto_ml,MIT,2016-08-07 21:35:08.000000,2021-02-10 07:52:35.000000,2018-03-25 19:46:25.000000,297,185.0,216.0,1559.0,1149.0,[UNMAINTAINED] Automated machine learning for analytics & production.,13.0,20,False,2018-02-22 01:13:03.000000,2.9.10,78.0,auto_ml,,,,,2.0,,https://pypi.org/project/auto_ml,2018-02-22 01:13:03.000000,2.0,1292.0,1292.0,,,,,,,,3.0,,38.0,,,,,,,,,,,,,,,,,,,\n628,DELTA,Delta-ML/delta,,nlp,https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57.000000,2021-11-08 22:20:35.000000,2020-12-17 06:57:15.000000,292,5.0,74.0,1481.0,932.0,DELTA is a deep learning based natural language and speech processing platform.,41.0,20,True,2020-07-16 09:31:45.000000,0.3.3,4.0,delta-nlp,,zh794390558/delta,,['tensorflow'],,,https://pypi.org/project/delta-nlp,2020-03-27 04:46:19.000000,,22.0,443.0,,,,https://hub.docker.com/r/zh794390558/delta,2021-08-03 14:50:00.516864,,13067.0,3.0,,,,,,,,,,,,,,,,,,,,,\n629,Talos,autonomio/talos,,hyperopt,https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41.000000,2021-05-27 09:49:51.000000,2021-05-27 09:49:50.000000,247,35.0,354.0,1480.0,559.0,\"Hyperparameter Optimization for TensorFlow, Keras and PyTorch.\",19.0,20,True,2020-11-09 16:48:30.000000,1.0,14.0,talos,,,,['tensorflow'],139.0,133.0,https://pypi.org/project/talos,2020-11-09 16:49:08.000000,6.0,865.0,865.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n630,anaGo,Hironsan/anago,,nlp,https://github.com/Hironsan/anago,https://github.com/Hironsan/anago,MIT,2017-06-26 21:28:36.000000,2021-08-25 14:45:13.000000,2021-04-01 12:34:50.000000,361,37.0,72.0,1426.0,298.0,\"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.\",11.0,20,True,2018-07-17 01:59:21.000000,1.0.8,14.0,anago,,,,['tensorflow'],32.0,27.0,https://pypi.org/project/anago,2018-07-17 01:59:21.000000,5.0,432.0,432.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n631,Classy Vision,facebookresearch/ClassyVision,,image,https://github.com/facebookresearch/ClassyVision,https://github.com/facebookresearch/ClassyVision,MIT,2019-09-13 22:54:44.000000,2021-12-28 18:38:46.000000,2021-12-28 18:38:43.000000,239,53.0,61.0,1394.0,,An end-to-end PyTorch framework for image and video classification.,67.0,20,True,2021-07-19 20:08:51.000000,0.6.0,17.0,classy_vision,conda-forge/classy_vision,,,['pytorch'],0.0,,https://pypi.org/project/classy_vision,2021-07-09 22:58:06.000000,0.0,807.0,1276.0,https://anaconda.org/conda-forge/classy_vision,2020-12-11 20:08:25.437000,10806.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n632,DLTK,DLTK/DLTK,,medical-data,https://github.com/DLTK/DLTK,https://github.com/DLTK/DLTK,Apache-2.0,2017-05-02 15:40:36.000000,2021-08-25 14:40:15.000000,2019-01-21 14:01:28.000000,390,11.0,24.0,1288.0,379.0,Deep Learning Toolkit for Medical Image Analysis.,9.0,20,False,2018-02-26 17:43:57.000000,0.2.1,5.0,dltk,,,,['tensorflow'],21.0,21.0,https://pypi.org/project/dltk,2018-02-26 17:43:57.000000,,186.0,186.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n633,pytorch_geometric_temporal,benedekrozemberczki/pytorch_geometric_temporal,,graph,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,MIT,2020-06-27 01:11:33.000000,2021-12-26 17:02:25.000000,2021-12-26 17:02:25.000000,173,3.0,68.0,1247.0,1809.0,PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021).,15.0,20,True,2021-09-11 12:03:52.000000,_00041,39.0,torch-geometric-temporal,,,,['pytorch'],,,https://pypi.org/project/torch-geometric-temporal,2021-09-11 12:02:32.000000,,932.0,932.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n634,Norfair,tryolabs/norfair,,image,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000000,2021-10-01 22:03:27.000000,2021-10-01 22:03:26.000000,91,8.0,31.0,1173.0,283.0,Lightweight Python library for adding real-time object tracking to any detector.,9.0,20,True,2021-07-29 15:49:06.000000,0.3.1,12.0,norfair,,,,,0.0,,https://pypi.org/project/norfair,2021-07-29 15:49:06.000000,0.0,2425.0,2425.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n635,tensorrec,jfkirk/tensorrec,,recommender-systems,https://github.com/jfkirk/tensorrec,https://github.com/jfkirk/tensorrec,Apache-2.0,2017-02-28 18:51:11.000000,2021-09-07 23:58:55.000000,2020-02-04 21:10:25.000000,218,35.0,90.0,1169.0,334.0,A TensorFlow recommendation algorithm and framework in Python.,9.0,20,False,2019-04-02 00:53:47.000000,0.26.2,30.0,tensorrec,,,,['tensorflow'],29.0,26.0,https://pypi.org/project/tensorrec,2019-04-02 00:53:47.000000,3.0,309.0,309.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n636,graph4nlp,graph4ai/graph4nlp,,graph,https://github.com/graph4ai/graph4nlp,https://github.com/graph4ai/graph4nlp,Apache-2.0,2020-07-16 03:28:48.000000,2021-12-22 07:34:51.000000,2021-09-27 01:47:06.000000,133,3.0,90.0,1142.0,1742.0,Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website..,22.0,20,True,2021-09-30 16:52:44.000000,0.5.1-alpha,10.0,graph4nlp,,,,['pytorch'],,,https://pypi.org/project/graph4nlp,2021-09-29 15:52:03.000000,,63.0,63.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n637,Skater,oracle/Skater,,interpretability,https://github.com/oracle/Skater,https://github.com/oracle/Skater,UPL-1.0,2017-01-26 05:45:42.000000,2021-11-15 19:51:51.883000,2020-06-29 20:07:12.000000,163,69.0,97.0,1009.0,1101.0,Python Library for Model Interpretation/Explanations.,34.0,20,False,2018-09-21 07:03:32.000000,1.1.2,23.0,skater,conda-forge/skater,,,,,,https://pypi.org/project/skater,2018-09-21 07:03:32.000000,,1746.0,2594.0,https://anaconda.org/conda-forge/skater,2021-11-15 19:51:51.883000,45807.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n638,advertorch,BorealisAI/advertorch,,adversarial,https://github.com/BorealisAI/advertorch,https://github.com/BorealisAI/advertorch,GPL-3.0,2018-11-29 22:17:33.000000,2021-12-09 19:16:53.000000,2021-07-30 15:59:28.000000,156,15.0,33.0,984.0,273.0,A Toolbox for Adversarial Robustness Research.,18.0,20,False,2020-06-15 01:20:07.000000,0.2.3,10.0,advertorch,,,,['pytorch'],67.0,61.0,https://pypi.org/project/advertorch,2020-06-15 01:20:07.000000,6.0,524.0,524.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n639,CrypTen,facebookresearch/CrypTen,,privacy-ml,https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000000,2021-12-16 15:25:22.000000,2021-12-15 16:36:16.000000,154,32.0,100.0,982.0,,A framework for Privacy Preserving Machine Learning.,25.0,20,True,2021-09-09 15:15:11.000000,0.4.0,2.0,crypten,,,,['pytorch'],12.0,12.0,https://pypi.org/project/crypten,2021-09-09 15:15:11.000000,,261.0,261.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n640,Databolt Flow,d6t/d6tflow,,data-pipelines,https://github.com/d6t/d6tflow,https://github.com/d6t/d6tflow,MIT,2019-02-03 01:51:22.000000,2021-10-06 00:53:48.000000,2021-09-28 02:59:00.000000,69,10.0,13.0,934.0,266.0,Python library for building highly effective data science workflows.,12.0,20,True,2021-10-06 00:53:48.000000,0.2.5,21.0,d6tflow,,,,,17.0,17.0,https://pypi.org/project/d6tflow,2021-10-06 00:53:48.000000,,246.0,246.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n641,mrq,pricingassistant/mrq,,data-pipelines,https://github.com/pricingassistant/mrq,https://github.com/pricingassistant/mrq,MIT,2014-02-13 09:32:40.000000,2021-12-13 19:45:34.000000,2020-12-13 18:58:15.000000,113,59.0,119.0,857.0,709.0,Mr. Queue - A distributed worker task queue in Python using Redis & gevent.,37.0,20,True,2018-08-31 16:03:04.000000,0.9.10,70.0,mrq,,,,,40.0,28.0,https://pypi.org/project/mrq,2018-08-31 16:03:04.000000,12.0,272.0,272.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n642,Orbit,uber/orbit,,probabilistics,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000000,2021-12-30 02:49:29.000000,2021-12-17 01:42:22.000000,62,44.0,264.0,839.0,684.0,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,14.0,20,True,2021-08-30 17:57:34.000000,1.0.17,15.0,orbit-ml,,,,,5.0,5.0,https://pypi.org/project/orbit-ml,2021-08-30 17:58:36.000000,0.0,3023.0,3023.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n643,AstroML,astroML/astroML,,others,https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50.000000,2021-08-04 16:00:40.000000,2021-04-07 06:12:17.000000,271,53.0,86.0,794.0,,\"Machine learning, statistics, and data mining for astronomy and astrophysics.\",30.0,20,True,2019-10-02 06:32:58.000000,0.4.1,10.0,astroML,conda-forge/astroml,,,['sklearn'],58.0,,https://pypi.org/project/astroML,2020-03-23 23:20:49.000000,58.0,1013.0,1529.0,https://anaconda.org/conda-forge/astroml,2020-02-16 04:18:54.678000,26835.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n644,DiCE,interpretml/DiCE,,interpretability,https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000000,2021-12-22 10:17:11.000000,2021-12-21 00:32:26.000000,99,46.0,51.0,738.0,478.0,Generate Diverse Counterfactual Explanations for any machine learning model.,12.0,20,True,2021-09-27 06:59:57.000000,0.7.2,8.0,dice-ml,,,,\"['tensorflow', 'pytorch']\",0.0,,https://pypi.org/project/dice-ml,2021-09-27 06:59:57.000000,0.0,17302.0,17302.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n645,RLax,deepmind/rlax,,reinforcement-learning,https://github.com/deepmind/rlax,https://github.com/deepmind/rlax,Apache-2.0,2020-02-18 07:14:59.000000,2021-12-21 16:36:29.000000,2021-12-02 17:18:54.000000,56,9.0,9.0,726.0,144.0,A library of reinforcement learning building blocks in JAX.,16.0,20,True,2021-11-19 12:34:30.000000,0.1.1,6.0,rlax,,,,['jax'],32.0,32.0,https://pypi.org/project/rlax,2021-11-19 12:34:30.000000,,1985.0,1985.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n646,mlens,flennerhag/mlens,,others,https://github.com/flennerhag/mlens,https://github.com/flennerhag/mlens,MIT,2017-01-10 20:53:47.000000,2020-02-25 14:32:48.000000,2020-02-25 14:31:53.000000,92,10.0,74.0,710.0,879.0,ML-Ensemble high performance ensemble learning.,7.0,20,False,2018-10-30 22:34:35.000000,0.2.3,14.0,mlens,,,,,178.0,175.0,https://pypi.org/project/mlens,2018-10-30 22:30:43.000000,3.0,2784.0,2784.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n647,bambi,bambinos/bambi,,probabilistics,https://github.com/bambinos/bambi,https://github.com/bambinos/bambi,MIT,2016-05-16 03:21:00.000000,2021-12-01 12:18:02.000000,2021-12-01 12:18:01.000000,68,31.0,179.0,709.0,,BAyesian Model-Building Interface (Bambi) in Python.,21.0,20,True,2021-09-17 11:44:34.000000,0.6.3,17.0,bambi,,,,,22.0,19.0,https://pypi.org/project/bambi,2021-09-17 11:44:34.000000,3.0,1629.0,1629.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n648,Test Tube,williamFalcon/test-tube,,hyperopt,https://github.com/williamFalcon/test-tube,https://github.com/williamFalcon/test-tube,MIT,2017-09-06 02:14:57.000000,2021-10-14 18:44:27.000000,2020-03-17 22:44:47.000000,64,25.0,21.0,703.0,642.0,Python library to easily log experiments and parallelize hyperparameter search for neural networks.,16.0,20,False,2019-12-01 01:19:36.000000,0.7.5,53.0,test_tube,,,,,5.0,,https://pypi.org/project/test_tube,2018-12-12 22:45:59.000000,5.0,12884.0,12884.0,,,,,,,,3.0,,10.0,,,,,,,,,,,,,,,,,,,\n649,NearPy,pixelogik/NearPy,,nn-search,https://github.com/pixelogik/NearPy,https://github.com/pixelogik/NearPy,MIT,2013-04-25 09:10:26.000000,2021-09-26 01:44:54.000000,2018-10-21 17:54:28.000000,139,24.0,38.0,694.0,159.0,\"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..\",18.0,20,False,2016-09-27 13:04:44.000000,1.0.0,8.0,NearPy,,,,,80.0,64.0,https://pypi.org/project/NearPy,2016-09-27 13:03:12.000000,16.0,1112.0,1112.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n650,finetune,IndicoDataSolutions/finetune,,nlp,https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16.000000,2021-12-30 14:00:07.000000,2021-12-20 17:41:00.000000,70,22.0,116.0,657.0,1201.0,Scikit-learn style model finetuning for NLP.,19.0,20,True,2020-01-10 22:42:24.000000,0.8.6,38.0,finetune,,,,\"['tensorflow', 'sklearn']\",11.0,9.0,https://pypi.org/project/finetune,2021-12-20 14:14:00.000000,2.0,160.0,160.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n651,PyKEEN,pykeen/pykeen,,graph,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000000,2021-12-28 11:09:01.000000,2021-12-21 19:25:38.000000,90,106.0,211.0,648.0,2508.0,A Python library for learning and evaluating knowledge graph embeddings.,24.0,20,True,2021-10-18 09:50:50.000000,1.6.0,37.0,pykeen,,,,,2.0,,https://pypi.org/project/pykeen,2021-10-18 09:48:18.000000,2.0,704.0,709.0,,,,,,,,3.0,,92.0,,,,,,,,,,,,,,,,,,,\n652,vecstack,vecxoz/vecstack,,others,https://github.com/vecxoz/vecstack,https://github.com/vecxoz/vecstack,MIT,2016-11-08 13:23:21.000000,2020-09-14 08:31:07.000000,2019-10-30 09:27:48.000000,74,,38.0,640.0,189.0,Python package for stacking (machine learning technique).,1.0,20,False,2019-08-12 16:09:01.000000,0.4.0,6.0,vecstack,,,,,181.0,173.0,https://pypi.org/project/vecstack,2019-08-12 16:01:22.000000,8.0,26801.0,26801.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n653,What-If Tool,PAIR-code/what-if-tool,,interpretability,https://github.com/PAIR-code/what-if-tool,https://github.com/PAIR-code/what-if-tool,Apache-2.0,2018-09-07 20:26:10.000000,2021-11-01 12:13:56.000000,2021-11-01 12:13:55.000000,117,55.0,46.0,617.0,324.0,Source code/webpage/demos for the What-If Tool.,20.0,20,True,2021-10-12 17:42:50.869000,1.8.1,40.0,witwidget,,,,,0.0,,https://pypi.org/project/witwidget,2021-10-12 17:42:30.000000,0.0,6808.0,10416.0,,,,,,,,3.0,,,,wit-widget,https://www.npmjs.com/package/wit-widget,2021-10-12 17:42:50.869000,,3608.0,,,,,,,,,,,,,\n654,deeplift,kundajelab/deeplift,,interpretability,https://github.com/kundajelab/deeplift,https://github.com/kundajelab/deeplift,MIT,2016-06-01 02:18:06.000000,2021-11-11 17:50:26.000000,2021-11-11 17:50:26.000000,134,34.0,48.0,599.0,553.0,Public facing deeplift repo.,11.0,20,True,2018-07-13 21:11:52.000000,0.6.6,21.0,deeplift,,,,,56.0,52.0,https://pypi.org/project/deeplift,2020-11-11 09:32:57.000000,4.0,369.0,369.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n655,Caer,jasmcaus/caer,,image,https://github.com/jasmcaus/caer,https://github.com/jasmcaus/caer,MIT,2020-08-06 18:36:14.000000,2021-10-13 21:04:50.000000,2021-10-13 21:05:33.000000,101,2.0,13.0,578.0,5078.0,\"A lightweight Computer Vision library. Scale your models, not boilerplate.\",8.0,20,True,2021-10-13 21:04:12.000000,2.0.8,119.0,caer,,,https://caer.rtfd.io,,0.0,,https://pypi.org/project/caer,2021-10-13 21:04:12.000000,0.0,3997.0,3998.0,,,,,,,,3.0,,19.0,,,,,,,,,,,,,,,,,,,\n656,Poutyne,GRAAL-Research/poutyne,,pytorch-utils,https://github.com/GRAAL-Research/poutyne,https://github.com/GRAAL-Research/poutyne,LGPL-3.0,2017-12-07 18:30:17.000000,2021-12-29 11:53:57.000000,2021-12-28 17:45:26.000000,57,7.0,38.0,508.0,626.0,A simplified framework and utilities for PyTorch.,16.0,20,False,2021-12-17 18:16:02.000000,1.8,25.0,poutyne,,,,['pytorch'],79.0,75.0,https://pypi.org/project/poutyne,2021-12-17 18:16:24.000000,4.0,4309.0,4309.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n657,pyhsmm,mattjj/pyhsmm,,probabilistics,https://github.com/mattjj/pyhsmm,https://github.com/mattjj/pyhsmm,MIT,2012-03-18 17:40:13.000000,2020-09-29 20:58:26.000000,2020-08-24 17:03:59.000000,159,39.0,60.0,503.0,1426.0,Bayesian inference in HSMMs and HMMs.,13.0,20,False,2017-05-10 17:14:37.000000,0.1.7,8.0,pyhsmm,,,,,32.0,24.0,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37.000000,8.0,166.0,166.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n658,skope-rules,scikit-learn-contrib/skope-rules,,sklearn-utils,https://github.com/scikit-learn-contrib/skope-rules,https://github.com/scikit-learn-contrib/skope-rules,BSD-1-Clause,2018-02-18 13:42:47.000000,2021-05-12 08:25:18.000000,2020-10-23 14:31:57.000000,69,23.0,5.0,422.0,247.0,machine learning with logical rules in Python.,18.0,20,False,2020-12-11 09:37:02.000000,1.0.1,4.0,skope-rules,,,,['sklearn'],66.0,60.0,https://pypi.org/project/skope-rules,2020-01-25 12:01:37.000000,6.0,58417.0,58417.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n659,pydlm,wwrechard/pydlm,,time-series-data,https://github.com/wwrechard/pydlm,https://github.com/wwrechard/pydlm,BSD-3-Clause,2016-06-29 07:58:53.000000,2021-02-24 14:21:28.000000,2019-10-22 07:18:40.000000,87,35.0,8.0,404.0,362.0,A python library for Bayesian time series modeling.,6.0,20,False,2016-11-06 01:43:35.000000,0.1.1,13.0,pydlm,,,,,26.0,24.0,https://pypi.org/project/pydlm,2018-12-19 10:27:54.000000,2.0,18486.0,18486.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n660,responsible-ai-widgets,microsoft/responsible-ai-widgets,,interpretability,https://github.com/microsoft/responsible-ai-toolbox,https://github.com/microsoft/responsible-ai-toolbox,MIT,2020-07-06 20:46:53.000000,2021-12-29 20:29:44.000000,2021-12-29 20:29:42.000000,87,59.0,153.0,374.0,,\"This project provides responsible AI user interfaces for Fairlearn, interpret-community, and Error Analysis, as well..\",24.0,20,True,2021-12-01 20:21:43.000000,0.15.1,30.0,raiwidgets,,,,\"['pytorch', 'tensorflow', 'jupyter']\",18.0,18.0,https://pypi.org/project/raiwidgets,2021-12-01 20:03:11.000000,0.0,4820.0,4820.0,,,,,,,,3.0,,,,,,,,,,,microsoft/responsible-ai-toolbox,,,,,,,,,,\n661,DESlib,scikit-learn-contrib/DESlib,,sklearn-utils,https://github.com/scikit-learn-contrib/DESlib,https://github.com/scikit-learn-contrib/DESlib,BSD-3-Clause,2017-12-08 22:49:49.000000,2021-10-10 00:13:26.000000,2021-10-10 00:13:26.000000,73,14.0,129.0,367.0,273.0,A Python library for dynamic classifier and ensemble selection.,13.0,20,True,2021-02-08 06:29:25.000000,0.3.5,4.0,deslib,,,,['sklearn'],22.0,22.0,https://pypi.org/project/deslib,2021-02-08 06:29:25.000000,0.0,1141.0,1141.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n662,rrcf,kLabUM/rrcf,,others,https://github.com/kLabUM/rrcf,https://github.com/kLabUM/rrcf,MIT,2018-10-20 05:39:05.000000,2021-01-13 23:05:23.000000,2020-06-10 01:07:39.000000,80,22.0,17.0,351.0,253.0,Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams.,4.0,20,False,2020-06-10 01:53:55.000000,0.4.3,7.0,rrcf,,,,,32.0,32.0,https://pypi.org/project/rrcf,2020-06-10 01:53:55.000000,0.0,9390.0,9390.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n663,TSFEL,fraunhoferportugal/tsfel,,time-series-data,https://github.com/fraunhoferportugal/tsfel,https://github.com/fraunhoferportugal/tsfel,BSD-3-Clause,2019-01-09 16:41:30.000000,2021-12-23 11:44:20.000000,2021-12-23 11:44:19.000000,50,6.0,40.0,346.0,277.0,An intuitive library to extract features from time series.,13.0,20,True,2021-02-14 17:48:46.000000,0.1.4,8.0,tsfel,,,,,25.0,25.0,https://pypi.org/project/tsfel,2021-02-14 17:40:32.000000,,3613.0,3613.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n664,recmetrics,statisticianinstilettos/recmetrics,,recommender-systems,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49.000000,2021-10-27 14:22:31.000000,2021-10-27 14:16:34.000000,74,6.0,10.0,334.0,237.0,A library of metrics for evaluating recommender systems.,13.0,20,True,2021-09-24 21:30:26.000000,0.1.0,15.0,recmetrics,,,,,20.0,20.0,https://pypi.org/project/recmetrics,2021-09-24 21:30:26.000000,,903.0,903.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n665,MXBoard,awslabs/mxboard,,ml-experiments,https://github.com/awslabs/mxboard,https://github.com/awslabs/mxboard,Apache-2.0,2018-02-06 23:03:51.000000,2021-11-30 10:46:24.000000,2020-01-24 23:21:55.000000,46,16.0,15.0,331.0,42.0,Logging MXNet data for visualization in TensorBoard.,9.0,20,False,2018-05-22 20:25:51.000000,0.1.0,12.0,mxboard,,,,['mxnet'],139.0,127.0,https://pypi.org/project/mxboard,2018-05-22 20:25:51.000000,12.0,5884.0,5884.0,,,,,,,,3.0,-1.0,,,,,,,,,,,,,,,,,,,,\n666,scikit-tda,scikit-tda/scikit-tda,,sklearn-utils,https://github.com/scikit-tda/scikit-tda,https://github.com/scikit-tda/scikit-tda,MIT,2018-04-13 21:00:31.000000,2021-10-01 15:05:45.000000,2021-08-03 00:21:54.000000,38,12.0,4.0,321.0,60.0,Topological Data Analysis for Python.,3.0,20,True,2021-08-03 00:23:20.000000,1.0.0,4.0,scikit-tda,,,,['sklearn'],24.0,24.0,https://pypi.org/project/scikit-tda,2021-08-03 00:23:20.000000,,4324.0,4324.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n667,sklearn-evaluation,edublancas/sklearn-evaluation,,interpretability,https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2015-09-04 16:33:42.000000,2021-10-17 18:15:40.000000,2021-10-17 18:09:37.000000,28,8.0,29.0,318.0,533.0,\"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook..\",6.0,20,True,2021-10-17 18:15:40.000000,0.5.7,19.0,sklearn-evaluation,,,,['sklearn'],38.0,36.0,https://pypi.org/project/sklearn-evaluation,2021-10-17 18:15:40.000000,2.0,788.0,788.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n668,Auto ViML,AutoViML/Auto_ViML,,hyperopt,https://github.com/AutoViML/Auto_ViML,https://github.com/AutoViML/Auto_ViML,Apache-2.0,2019-06-10 13:09:15.000000,2021-12-06 01:40:00.000000,2021-12-06 01:38:51.000000,70,4.0,14.0,318.0,293.0,Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome...,6.0,20,True,2021-12-06 01:40:00.000000,0.1.684,133.0,autoviml,,,,,15.0,15.0,https://pypi.org/project/autoviml,2021-12-06 01:40:00.000000,0.0,636.0,636.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n669,quinn,MrPowers/quinn,,ml-experiments,https://github.com/MrPowers/quinn,https://github.com/MrPowers/quinn,Apache-2.0,2017-09-15 13:02:42.000000,2021-03-27 14:31:44.000000,2021-02-09 04:48:07.000000,40,17.0,9.0,301.0,110.0,pyspark methods to enhance developer productivity.,6.0,20,True,2021-02-06 15:21:04.000000,0.9.0,12.0,quinn,,,,['spark'],6.0,,https://pypi.org/project/quinn,2021-02-06 15:21:04.000000,6.0,473065.0,473065.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n670,Brainiak,brainiak/brainiak,,medical-data,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27.000000,2021-12-03 01:07:31.000000,2021-05-28 01:21:58.000000,123,72.0,123.0,261.0,393.0,Brain Imaging Analysis Kit.,33.0,20,False,2019-08-27 23:52:29.000000,0.9.1,15.0,brainiak,,brainiak/brainiak,,,16.0,15.0,https://pypi.org/project/brainiak,2020-10-15 20:45:08.000000,1.0,208.0,217.0,,,,https://hub.docker.com/r/brainiak/brainiak,2020-10-15 21:11:03.379549,1.0,686.0,3.0,,,,,,,,,,,,,,,,,,,,,\n671,somoclu,peterwittek/somoclu,,distributed-ml,https://github.com/peterwittek/somoclu,https://github.com/peterwittek/somoclu,MIT,2013-01-16 06:33:16.000000,2021-11-15 19:51:57.895000,2021-10-31 08:28:12.000000,61,26.0,107.0,231.0,619.0,\"Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters.\",19.0,20,False,2021-10-31 08:33:47.000000,1.7.6,17.0,somoclu,conda-forge/somoclu,,,,4.0,,https://pypi.org/project/somoclu,2020-04-25 05:33:32.000000,4.0,1283.0,2404.0,https://anaconda.org/conda-forge/somoclu,2021-11-15 19:51:57.895000,57401.0,,,,,3.0,,1554.0,,,,,,,,,,,,,,,,,,,\n672,pyfasttext,vrasneur/pyfasttext,,nlp,https://github.com/vrasneur/pyfasttext,https://github.com/vrasneur/pyfasttext,GPL-3.0,2017-06-30 18:44:42.000000,2018-12-08 15:32:09.000000,2018-12-08 15:02:12.000000,30,21.0,28.0,230.0,153.0,Yet another Python binding for fastText.,4.0,20,False,2018-12-08 15:32:09.000000,0.4.6,13.0,pyfasttext,,,,,215.0,202.0,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09.000000,13.0,4652.0,4658.0,,,,,,,,3.0,,346.0,,,,,,,,,,,,,,,,,,,\n673,scikit-posthocs,maximtrp/scikit-posthocs,,probabilistics,https://github.com/maximtrp/scikit-posthocs,https://github.com/maximtrp/scikit-posthocs,MIT,2017-06-22 19:41:37.000000,2021-11-26 21:39:34.000000,2021-11-26 21:39:28.000000,23,4.0,39.0,224.0,466.0,Multiple Pairwise Comparisons (Post Hoc) Tests in Python.,8.0,20,False,2021-03-17 06:05:28.000000,0.6.7,21.0,scikit-posthocs,,,,['sklearn'],6.0,,https://pypi.org/project/scikit-posthocs,2021-03-15 16:05:51.000000,6.0,33993.0,33993.0,,,,,,,,3.0,,25.0,,,,,,,,,,,,,,,,,,,\n674,fletcher,xhochy/fletcher,,data-containers,https://github.com/xhochy/fletcher,https://github.com/xhochy/fletcher,MIT,2018-03-04 16:44:22.000000,2021-11-04 09:30:27.570000,2021-02-18 14:46:18.000000,34,34.0,40.0,219.0,520.0,Pandas ExtensionDType/Array backed by Apache Arrow.,24.0,20,False,2021-01-17 20:11:01.000000,0.7.2,16.0,fletcher,conda-forge/fletcher,,,['pandas'],3.0,3.0,https://pypi.org/project/fletcher,2021-01-17 20:11:01.000000,0.0,256.0,1138.0,https://anaconda.org/conda-forge/fletcher,2021-11-04 09:30:27.570000,36183.0,,,,,3.0,,13.0,,,,,,,,,,,,,,,,,,,\n675,Glow,projectglow/glow,,medical-data,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47.000000,2021-12-29 19:34:30.000000,2021-12-29 19:34:30.000000,55,46.0,77.0,185.0,367.0,An open-source toolkit for large-scale genomic analysis.,18.0,20,False,2021-12-02 00:37:53.000000,1.1.2,14.0,glow.py,,,,,,,https://pypi.org/project/glow.py,2021-12-15 00:00:29.000000,,26289.0,26289.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n676,Recommenders,microsoft/recommenders,,recommender-systems,https://github.com/microsoft/recommenders,https://github.com/microsoft/recommenders,MIT,2018-09-19 10:06:07.000000,2021-12-30 14:41:27.000000,2021-12-21 13:47:14.000000,2052,132.0,516.0,11921.0,,Best Practices on Recommendation Systems.,105.0,19,True,2021-09-23 18:03:12.000000,0.7.0,9.0,,,,,,8.0,8.0,,,,,2.0,,,,,,,,3.0,,89.0,,,,,,,,,,,,,,,,,,,\n677,PaddleDetection,PaddlePaddle/PaddleDetection,,image,https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000000,2021-12-30 03:54:48.000000,2021-12-28 04:11:40.000000,1493,834.0,2003.0,5969.0,,\"Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object..\",76.0,19,True,2021-12-09 11:11:05.000000,2.3.0,5.0,,,,,['paddle'],6.0,6.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n678,MindsDB,mindsdb/mindsdb,,ml-frameworks,https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,GPL-3.0,2018-08-02 17:56:45.000000,2021-12-28 13:20:39.000000,2021-12-28 12:10:33.000000,561,81.0,710.0,4214.0,,Predictive AI layer for existing databases.,89.0,19,False,2021-12-28 13:29:39.000000,2.61.0,82.0,mindsdb,,,,['pytorch'],6.0,,https://pypi.org/project/mindsdb,2019-03-19 05:07:23.000000,6.0,1008.0,1008.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n679,neon,NervanaSystems/neon,,ml-frameworks,https://github.com/NervanaSystems/neon,https://github.com/NervanaSystems/neon,Apache-2.0,2014-10-16 01:00:17.000000,2020-12-23 01:21:42.000000,2019-05-22 18:27:54.000000,832,90.0,306.0,3855.0,1118.0,Intel Nervana reference deep learning framework committed to best performance on all hardware.,109.0,19,False,2018-01-05 23:25:04.000000,2.6.0,32.0,nervananeon,,,,,1.0,,https://pypi.org/project/nervananeon,2018-01-05 23:25:04.000000,1.0,84.0,88.0,,,,,,,,3.0,,317.0,,,,,,,,,,,,,,,,,,,\n680,Crypto Signals,CryptoSignal/crypto-signal,,financial-data,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24.000000,2021-10-19 20:21:49.000000,2021-06-28 16:44:17.000000,993,54.0,198.0,3719.0,564.0,\"Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 3,100+ stars, 900+ forks.\",28.0,19,True,,,,,,shadowreaver/crypto-signal,,,,,,,,,2760.0,,,,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133,7.0,140797.0,3.0,,,,,,,,,,,,,,,,,,,,,\n681,River,online-ml/river,,others,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000000,2021-12-29 21:20:14.000000,2021-12-29 21:17:19.000000,320,6.0,327.0,2995.0,,Online machine learning in Python.,70.0,19,True,2021-12-01 16:11:26.000000,0.9.0,1.0,,,,,,61.0,61.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n682,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,,graph,https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16.000000,2021-11-28 17:50:14.000000,2021-10-27 14:34:36.000000,397,55.0,119.0,2978.0,,Generate embeddings from large-scale graph-structured data.,24.0,19,True,2019-10-14 16:45:11.000000,1.0.0,3.0,torchbiggraph,,,,['pytorch'],4.0,,https://pypi.org/project/torchbiggraph,2019-05-01 21:31:13.000000,4.0,871.0,874.0,,,,,,,,3.0,,122.0,,,,,,,,,,,,,,,,,,,\n683,tf-quant-finance,google/tf-quant-finance,,financial-data,https://github.com/google/tf-quant-finance,https://github.com/google/tf-quant-finance,Apache-2.0,2019-07-24 16:09:50.000000,2021-12-23 15:40:54.000000,2021-12-23 15:40:51.000000,397,20.0,18.0,2934.0,832.0,High-performance TensorFlow library for quantitative finance.,36.0,19,True,,,25.0,tf-quant-finance,,,,['tensorflow'],0.0,,https://pypi.org/project/tf-quant-finance,2021-11-15 14:17:10.000000,0.0,573.0,573.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n684,NLP Architect,IntelLabs/nlp-architect,,nlp,https://github.com/IntelLabs/nlp-architect,https://github.com/IntelLabs/nlp-architect,Apache-2.0,2018-05-17 21:00:13.000000,2021-09-12 08:32:45.000000,2021-09-12 08:29:06.000000,437,21.0,112.0,2771.0,954.0,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,37.0,19,True,2020-11-17 12:32:37.000000,0.5.5.1,13.0,nlp-architect,,,,,8.0,8.0,https://pypi.org/project/nlp-architect,2020-04-12 11:34:38.000000,,321.0,321.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n685,LIT,PAIR-code/lit,,interpretability,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000000,2021-12-28 20:50:12.000000,2021-12-21 14:10:50.000000,274,63.0,61.0,2726.0,,The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and..,18.0,19,True,2021-12-21 14:29:03.000000,0.4.1,7.0,lit-nlp,,,,,7.0,7.0,https://pypi.org/project/lit-nlp,2021-12-21 14:20:06.000000,,522.0,522.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n686,image-match,ProvenanceLabs/image-match,,image,https://github.com/ProvenanceLabs/image-match,https://github.com/ProvenanceLabs/image-match,Apache-2.0,2016-03-08 18:16:45.000000,2021-09-21 13:07:59.000000,2021-09-21 13:07:59.000000,380,56.0,48.0,2663.0,405.0,Quickly search over billions of images.,19.0,19,True,2017-02-13 14:54:48.000000,1.1.2,10.0,image_match,,,,,6.0,,https://pypi.org/project/image_match,2017-02-13 14:54:48.000000,6.0,891.0,891.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n687,Apache Singa,apache/singa,,distributed-ml,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000000,2021-12-02 04:35:29.000000,2021-08-10 09:12:48.000000,715,40.0,49.0,2447.0,2360.0,a distributed deep learning platform.,76.0,19,True,2020-04-21 08:01:08.000000,3.0.0,16.0,,nusdbsystem/singa,apache/singa,,,1.0,1.0,,,,,9.0,https://anaconda.org/nusdbsystem/singa,2021-08-09 13:10:26.397000,411.0,https://hub.docker.com/r/apache/singa,2019-06-04 04:32:52.195956,4.0,209.0,3.0,,,,,,,,,,,,,,,,,,,,,\n688,Backtesting.py,kernc/backtesting.py,,financial-data,https://github.com/kernc/backtesting.py,https://github.com/kernc/backtesting.py,AGPL-3.0,2019-01-02 03:11:32.000000,2021-12-18 23:13:25.000000,2021-12-18 23:12:51.000000,417,47.0,228.0,2004.0,250.0,Backtest trading strategies in Python.,15.0,19,False,2017-07-22 02:00:06.000000,0.0.1,1.0,backtesting,,,,,2.0,,https://pypi.org/project/backtesting,2017-07-22 02:00:06.000000,2.0,10808.0,10808.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n689,pdftabextract,WZBSocialScienceCenter/pdftabextract,,ocr,https://github.com/WZBSocialScienceCenter/pdftabextract,https://github.com/WZBSocialScienceCenter/pdftabextract,Apache-2.0,2016-07-08 11:44:46.000000,2020-12-28 00:52:23.000000,2018-10-26 13:57:02.000000,339,3.0,18.0,1969.0,168.0,A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.,2.0,19,False,2018-01-09 08:00:24.000000,0.3.0,5.0,pdftabextract,,,,,38.0,37.0,https://pypi.org/project/pdftabextract,2018-01-09 08:00:24.000000,1.0,478.0,478.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n690,greykite,linkedin/greykite,,time-series-data,https://github.com/linkedin/greykite,https://github.com/linkedin/greykite,BSD-2-Clause,2021-04-27 17:05:53.000000,2021-12-22 19:04:12.000000,2021-12-15 21:44:21.000000,62,7.0,49.0,1419.0,18.0,\"A flexible, intuitive and fast forecasting library.\",7.0,19,True,2021-12-22 19:04:12.000000,0.1.1,7.0,greykite,,,,,8.0,8.0,https://pypi.org/project/greykite,2021-12-15 01:42:19.000000,,6115.0,6115.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n691,ThunderSVM,Xtra-Computing/thundersvm,,ml-frameworks,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04.000000,2021-02-10 05:12:44.000000,2021-02-10 05:12:44.000000,180,58.0,145.0,1357.0,902.0,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,33.0,19,True,2020-03-13 12:36:30.000000,0.3.12,9.0,thundersvm,,,,,,,https://pypi.org/project/thundersvm,2020-03-13 12:36:30.000000,,666.0,703.0,,,,,,,,3.0,,2302.0,,,,,,,,,,,,,,,,,,,\n692,doc2text,jlsutherland/doc2text,,ocr,https://github.com/jlsutherland/doc2text,https://github.com/jlsutherland/doc2text,MIT,2016-08-28 19:30:02.000000,2020-12-01 22:56:27.000000,2020-12-01 22:56:26.000000,101,14.0,9.0,1251.0,62.0,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,5.0,19,True,2016-09-06 21:59:21.000000,0.2.4,5.0,doc2text,,,,,50.0,50.0,https://pypi.org/project/doc2text,2016-09-06 21:59:21.000000,,390.0,390.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n693,Optimus,hi-primus/optimus,,data-pipelines,https://github.com/hi-primus/optimus,https://github.com/hi-primus/optimus,Apache-2.0,2017-07-13 02:31:18.000000,2021-12-20 14:10:13.000000,2021-12-09 01:20:57.000000,205,30.0,195.0,1152.0,1.0,\"Agile Data Preparation Workflows madeeasy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark.\",25.0,19,True,2020-07-19 03:05:40.000000,2.2.32,85.0,optimuspyspark,,,,['spark'],,,https://pypi.org/project/optimuspyspark,2019-05-30 02:22:54.000000,,9184.0,9184.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n694,TensorNets,taehoonlee/tensornets,,tensorflow-utils,https://github.com/taehoonlee/tensornets,https://github.com/taehoonlee/tensornets,MIT,2017-09-19 05:19:01.000000,2021-01-02 06:28:10.000000,2021-01-02 06:26:24.000000,186,16.0,42.0,1000.0,284.0,High level network definitions with pre-trained weights in TensorFlow.,6.0,19,True,2020-03-31 04:38:27.000000,0.4.6,12.0,tensornets,,,,['tensorflow'],46.0,42.0,https://pypi.org/project/tensornets,2020-03-31 04:35:15.000000,4.0,90.0,90.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n695,Hivemind,learning-at-home/hivemind,,distributed-ml,https://github.com/learning-at-home/hivemind,https://github.com/learning-at-home/hivemind,MIT,2020-02-27 13:50:19.000000,2021-12-28 01:06:53.000000,2021-12-28 01:06:52.000000,58,42.0,72.0,888.0,475.0,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,19.0,19,True,2021-12-20 13:17:34.000000,1.0.0,15.0,hivemind,,,,,5.0,4.0,https://pypi.org/project/hivemind,2021-12-20 12:53:27.000000,1.0,266.0,266.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n696,calamari,Calamari-OCR/calamari,,ocr,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,Apache-2.0,2018-03-20 15:22:29.000000,2021-12-20 13:41:31.000000,2021-12-20 13:41:25.000000,185,39.0,192.0,883.0,408.0,Line based ATR Engine based on OCRopy.,19.0,19,True,2021-10-02 07:50:30.000000,2.1.4,30.0,calamari_ocr,,,,,2.0,,https://pypi.org/project/calamari_ocr,2018-11-13 11:24:45.000000,2.0,767.0,767.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n697,NGT,yahoojapan/NGT,,nn-search,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000000,2021-11-06 00:02:46.000000,2021-10-25 04:48:23.000000,82,9.0,76.0,833.0,132.0,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,12.0,19,True,2021-04-14 00:31:14.000000,1.13.7,50.0,ngt,,,,,6.0,,https://pypi.org/project/ngt,2020-09-23 06:52:45.000000,6.0,15341.0,15341.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n698,tffm,geffy/tffm,,tensorflow-utils,https://github.com/geffy/tffm,https://github.com/geffy/tffm,MIT,2016-05-02 17:06:07.000000,2020-05-22 21:40:58.000000,2020-05-22 21:40:57.000000,180,17.0,22.0,774.0,106.0,TensorFlow implementation of an arbitrary order Factorization Machine.,10.0,19,False,2018-01-27 11:43:26.000000,1.0.1,2.0,tffm,,,,['tensorflow'],12.0,11.0,https://pypi.org/project/tffm,2018-01-27 11:43:26.000000,1.0,1932.0,1932.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n699,TensorFrames,databricks/tensorframes,,distributed-ml,https://github.com/databricks/tensorframes,https://github.com/databricks/tensorframes,Apache-2.0,2016-03-04 19:25:19.000000,2021-08-25 14:58:55.000000,2019-11-15 21:43:53.000000,157,51.0,43.0,761.0,221.0,[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark.,16.0,19,False,2018-11-16 20:50:02.000000,0.6.0,6.0,tensorframes,,,,\"['tensorflow', 'spark']\",1.0,,https://pypi.org/project/tensorframes,2018-05-16 14:20:28.000000,1.0,20437.0,20437.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n700,XAI,EthicalML/xai,,interpretability,https://github.com/EthicalML/xai,https://github.com/EthicalML/xai,MIT,2019-01-11 20:00:09.000000,2021-10-30 06:35:19.000000,2021-10-30 06:30:12.000000,114,1.0,7.0,753.0,91.0,XAI - An eXplainability toolbox for machine learning.,3.0,19,True,2021-10-30 06:35:19.000000,0.1.0,6.0,xai,,,,,17.0,11.0,https://pypi.org/project/xai,2021-10-30 06:33:26.000000,6.0,700.0,700.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n701,matrixprofile-ts,target/matrixprofile-ts,,time-series-data,https://github.com/target/matrixprofile-ts,https://github.com/target/matrixprofile-ts,Apache-2.0,2018-09-10 19:03:34.000000,2020-04-25 18:38:20.000000,2020-04-25 18:37:42.000000,92,19.0,34.0,669.0,198.0,A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile.,15.0,19,False,2019-08-08 01:24:38.000000,0.0.9,9.0,matrixprofile-ts,,,,,17.0,17.0,https://pypi.org/project/matrixprofile-ts,2019-08-08 01:24:38.000000,,1161.0,1161.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n702,sklearn-deap,rsteca/sklearn-deap,,hyperopt,https://github.com/rsteca/sklearn-deap,https://github.com/rsteca/sklearn-deap,MIT,2015-10-28 22:52:34.000000,2021-07-30 15:13:54.000000,2021-07-30 15:06:27.000000,114,21.0,34.0,669.0,104.0,Use evolutionary algorithms instead of gridsearch in scikit-learn.,22.0,19,True,2021-07-30 15:13:54.000000,0.3.0,14.0,sklearn-deap,,,,['sklearn'],33.0,31.0,https://pypi.org/project/sklearn-deap,2021-07-30 15:13:54.000000,2.0,974.0,974.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n703,Objax,google/objax,,ml-frameworks,https://github.com/google/objax,https://github.com/google/objax,Apache-2.0,2020-08-20 06:20:40.000000,2021-09-20 23:54:26.000000,2021-09-20 23:54:26.000000,55,40.0,56.0,665.0,414.0,Objax is a machine learning framework that provides an Object Oriented layer for JAX.,22.0,19,True,2021-04-01 00:14:18.000000,1.4.0,7.0,objax,,,,['jax'],17.0,17.0,https://pypi.org/project/objax,2021-04-01 00:02:37.000000,0.0,916.0,916.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n704,Tensor Sensor,parrt/tensor-sensor,,pytorch-utils,https://github.com/parrt/tensor-sensor,https://github.com/parrt/tensor-sensor,MIT,2020-08-28 22:54:04.000000,2021-12-13 18:54:27.000000,2021-12-13 18:54:25.000000,33,8.0,15.0,620.0,234.0,\"The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy,..\",3.0,19,True,2021-12-11 21:24:11.000000,1.0,37.0,tensor-sensor,,,,['pytorch'],7.0,7.0,https://pypi.org/project/tensor-sensor,2021-12-11 21:24:35.000000,,1803.0,1803.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n705,Torchbearer,pytorchbearer/torchbearer,,ml-frameworks,https://github.com/pytorchbearer/torchbearer,https://github.com/pytorchbearer/torchbearer,MIT,2018-03-12 16:30:42.000000,2021-03-26 19:56:57.000000,2021-03-26 19:56:57.000000,68,8.0,237.0,616.0,430.0,torchbearer: A model fitting library for PyTorch.,13.0,19,True,2020-01-31 14:07:22.000000,0.5.3,24.0,torchbearer,,,,['pytorch'],62.0,56.0,https://pypi.org/project/torchbearer,2020-01-31 14:05:56.000000,6.0,581.0,581.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n706,Dragonfly,dragonfly/dragonfly,,hyperopt,https://github.com/dragonfly/dragonfly,https://github.com/dragonfly/dragonfly,MIT,2018-04-20 22:19:50.000000,2021-07-31 04:54:26.000000,2020-07-03 18:01:17.000000,199,32.0,18.0,614.0,397.0,An open source python library for scalable Bayesian optimisation.,12.0,19,False,2020-07-03 18:05:12.000000,0.1.6,9.0,dragonfly-opt,,,,,2.0,,https://pypi.org/project/dragonfly-opt,2020-07-03 18:05:12.000000,2.0,26773.0,26773.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n707,baikal,alegonz/baikal,,others,https://github.com/alegonz/baikal,https://github.com/alegonz/baikal,BSD-3-Clause,2019-01-21 12:59:02.000000,2021-12-13 20:33:34.000000,2021-04-11 07:50:00.000000,29,6.0,14.0,589.0,405.0,A graph-based functional API for building complex scikit-learn pipelines.,2.0,19,True,2020-11-15 13:40:18.000000,0.4.2,8.0,baikal,conda-forge/cython-blis,,,,3.0,3.0,https://pypi.org/project/baikal,2020-11-15 13:40:18.000000,0.0,465.0,35804.0,https://anaconda.org/conda-forge/cython-blis,2021-11-04 20:09:22.632000,1166192.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n708,seglearn,dmbee/seglearn,,time-series-data,https://github.com/dmbee/seglearn,https://github.com/dmbee/seglearn,BSD-3-Clause,2018-03-05 20:53:59.000000,2021-03-13 16:18:30.000000,2021-03-12 17:12:50.000000,52,5.0,23.0,482.0,268.0,Python module for machine learning time series:.,13.0,19,True,2021-03-13 16:18:30.000000,1.2.3,22.0,seglearn,,,,,12.0,11.0,https://pypi.org/project/seglearn,2021-03-13 16:18:30.000000,1.0,1297.0,1297.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n709,aequitas,dssg/aequitas,,interpretability,https://github.com/dssg/aequitas,https://github.com/dssg/aequitas,MIT,2018-02-13 19:40:30.000000,2021-07-13 10:19:56.000000,2021-05-27 09:45:10.000000,84,37.0,21.0,443.0,857.0,Bias and Fairness Audit Toolkit.,16.0,19,True,2020-12-16 11:48:14.000000,0.42.0,16.0,aequitas,,,,,93.0,87.0,https://pypi.org/project/aequitas,2020-12-16 11:48:14.000000,6.0,782.0,782.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n710,apricot,jmschrei/apricot,,others,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12.000000,2021-11-18 21:06:56.000000,2021-11-18 21:06:54.000000,40,5.0,18.0,393.0,172.0,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,4.0,19,True,2020-09-28 07:19:15.000000,0.6.0,13.0,apricot-select,,,,,21.0,21.0,https://pypi.org/project/apricot-select,2020-09-28 07:19:15.000000,0.0,319.0,319.0,,,,,,,,3.0,,9.0,,,,,,,,,,,,,,,,,,,\n711,Case Recommender,caserec/CaseRecommender,,recommender-systems,https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39.000000,2021-11-25 23:19:05.000000,2021-11-25 23:08:43.000000,77,7.0,20.0,375.0,204.0,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems.,11.0,19,True,2021-11-25 23:19:05.000000,1.1.1,42.0,caserecommender,,,,['sklearn'],9.0,9.0,https://pypi.org/project/caserecommender,2021-11-25 23:19:05.000000,,671.0,671.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n712,Studio.ml,studioml/studio,,ml-experiments,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28.000000,2021-09-14 22:55:51.000000,2021-09-14 22:26:21.000000,52,57.0,195.0,374.0,2409.0,Studio: Simplify and expedite model building process.,21.0,19,True,2021-09-14 22:55:51.000000,0.0.49,208.0,studioml,,,,,5.0,5.0,https://pypi.org/project/studioml,2021-09-14 22:55:51.000000,,101.0,101.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n713,Pywick,achaiah/pywick,,pytorch-utils,https://github.com/achaiah/pywick,https://github.com/achaiah/pywick,MIT,2019-03-25 15:42:47.000000,2021-12-14 22:07:33.000000,2021-10-22 03:09:17.000000,38,2.0,12.0,365.0,149.0,High-level batteries-included neural network training library for Pytorch.,4.0,19,True,2021-10-22 03:19:11.000000,0.6.5,8.0,pywick,,,,['pytorch'],5.0,5.0,https://pypi.org/project/pywick,2021-10-22 03:19:11.000000,,412.0,412.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n714,Auto TS,AutoViML/Auto_TS,,time-series-data,https://github.com/AutoViML/Auto_TS,https://github.com/AutoViML/Auto_TS,Apache-2.0,2020-02-15 15:23:32.000000,2021-12-27 13:50:54.000000,2021-12-27 13:49:13.000000,67,9.0,49.0,360.0,244.0,\"Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of..\",6.0,19,True,2021-12-27 13:50:54.000000,0.0.47,25.0,auto-ts,,,,,,,https://pypi.org/project/auto-ts,2021-12-27 13:50:54.000000,,2651.0,2651.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n715,textpipe,textpipe/textpipe,,nlp,https://github.com/textpipe/textpipe,https://github.com/textpipe/textpipe,MIT,2018-06-21 16:23:32.000000,2021-06-09 11:55:53.000000,2021-06-09 11:55:53.000000,22,24.0,25.0,293.0,371.0,Textpipe: clean and extract metadata from text.,28.0,19,False,2021-01-25 14:05:21.000000,0.12.2,39.0,textpipe,,,,,9.0,8.0,https://pypi.org/project/textpipe,2021-01-25 14:05:21.000000,1.0,1737.0,1737.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n716,chefboost,serengil/chefboost,,ml-frameworks,https://github.com/serengil/chefboost,https://github.com/serengil/chefboost,MIT,2019-03-06 12:26:27.000000,2021-12-05 09:28:47.000000,2021-11-03 06:31:33.000000,76,2.0,15.0,289.0,327.0,\"A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some..\",5.0,19,False,2021-06-28 19:23:52.000000,0.0.13,13.0,chefboost,,,,,17.0,17.0,https://pypi.org/project/chefboost,2021-06-28 19:23:52.000000,,536.0,536.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n717,pandas-ml,pandas-ml/pandas-ml,,others,https://github.com/pandas-ml/pandas-ml,https://github.com/pandas-ml/pandas-ml,BSD-3-Clause,2015-02-21 03:14:04.000000,2020-08-14 12:29:33.000000,2019-03-05 01:36:55.000000,60,24.0,17.0,281.0,153.0,\"pandas, scikit-learn, xgboost and seaborn integration.\",4.0,19,False,2019-03-05 01:36:12.000000,0.6.1,9.0,pandas-ml,,,,\"['sklearn', 'pandas']\",20.0,,https://pypi.org/project/pandas-ml,2019-03-05 01:35:23.000000,20.0,3187.0,3187.0,,,,,,,,3.0,,5.0,,,,,,,,,,,,,,,,,,,\n718,sk-dist,Ibotta/sk-dist,,distributed-ml,https://github.com/Ibotta/sk-dist,https://github.com/Ibotta/sk-dist,Apache-2.0,2019-08-14 21:07:17.000000,2021-07-07 00:44:10.000000,2021-07-07 00:44:07.000000,47,7.0,10.0,271.0,58.0,Distributed scikit-learn meta-estimators in PySpark.,7.0,19,False,2020-05-14 22:20:14.000000,0.1.9,12.0,sk-dist,,,,\"['sklearn', 'spark']\",10.0,8.0,https://pypi.org/project/sk-dist,2020-05-14 22:20:14.000000,2.0,52643.0,52643.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n719,ivis,beringresearch/ivis,,data-viz,https://github.com/beringresearch/ivis,https://github.com/beringresearch/ivis,Apache-2.0,2018-08-13 08:31:01.000000,2021-11-08 17:08:45.000000,2021-11-08 17:08:42.000000,26,3.0,50.0,254.0,611.0,Dimensionality reduction in very large datasets using Siamese Networks.,10.0,19,False,2021-10-17 09:48:21.000000,2.06,32.0,ivis,,,,['tensorflow'],19.0,19.0,https://pypi.org/project/ivis,2021-10-17 09:46:36.000000,0.0,978.0,978.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n720,launchpad,deepmind/launchpad,,distributed-ml,https://github.com/deepmind/launchpad,https://github.com/deepmind/launchpad,Apache-2.0,2021-02-18 15:16:49.000000,2021-12-23 16:13:42.000000,2021-12-23 16:13:09.000000,17,,17.0,250.0,212.0,Launchpad is a library that simplifies writing distributed programs and seamlessly launching them on a range of..,13.0,19,False,2021-12-22 18:19:06.000000,0.4.0,6.0,dm-launchpad,,,,['tensorflow'],4.0,4.0,https://pypi.org/project/dm-launchpad,2021-12-22 18:19:06.000000,,1412.0,1412.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n721,model-card-toolkit,tensorflow/model-card-toolkit,,interpretability,https://github.com/tensorflow/model-card-toolkit,https://github.com/tensorflow/model-card-toolkit,Apache-2.0,2020-07-24 16:48:58.000000,2021-12-29 23:22:30.000000,2021-12-29 23:22:30.000000,39,15.0,2.0,241.0,180.0,a tool that leverages rich metadata and lineage information in MLMD to build a model card.,11.0,19,False,2021-09-02 22:08:38.000000,1.1.0,6.0,model-card-toolkit,,,,,5.0,5.0,https://pypi.org/project/model-card-toolkit,2021-09-02 22:06:45.000000,,200.0,200.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n722,fairness-indicators,tensorflow/fairness-indicators,,interpretability,https://github.com/tensorflow/fairness-indicators,https://github.com/tensorflow/fairness-indicators,Apache-2.0,2019-09-30 22:56:45.000000,2021-12-03 20:30:47.000000,2021-12-03 19:26:37.000000,68,12.0,8.0,239.0,279.0,Tensorflow's Fairness Evaluation and Visualization Toolkit.,25.0,19,False,2021-12-03 20:30:47.000000,0.36.0,22.0,fairness-indicators,,,,\"['tensorflow', 'jupyter']\",,,https://pypi.org/project/fairness-indicators,2021-12-03 20:30:47.000000,,732.0,732.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n723,gokart,m3dev/gokart,,ml-experiments,https://github.com/m3dev/gokart,https://github.com/m3dev/gokart,MIT,2018-12-23 07:40:27.000000,2021-12-29 18:01:54.000000,2021-11-16 10:27:07.000000,39,14.0,51.0,228.0,449.0,\"Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning..\",29.0,19,False,2021-10-15 10:18:50.000000,1.0.6,61.0,gokart,,,,,2.0,,https://pypi.org/project/gokart,2020-02-25 06:01:19.000000,2.0,645.0,645.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n724,skift,shaypal5/skift,,nlp,https://github.com/shaypal5/skift,https://github.com/shaypal5/skift,MIT,2018-02-03 11:37:21.000000,2021-12-13 07:34:53.000000,2021-12-13 07:27:35.000000,22,2.0,9.0,224.0,131.0,scikit-learn wrappers for Python fastText.,8.0,19,False,2021-12-13 07:35:28.000000,0.0.21,16.0,skift,,,,['sklearn'],11.0,11.0,https://pypi.org/project/skift,2021-12-13 07:34:53.000000,,693.0,693.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n725,pymap3d,geospace-code/pymap3d,,geospatial-data,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03.000000,2021-11-28 17:12:07.000000,2021-11-28 17:12:04.000000,61,2.0,30.0,223.0,,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,11.0,19,False,2021-11-22 06:36:42.000000,2.7.3,51.0,pymap3d,conda-forge/pymap3d,,,,6.0,,https://pypi.org/project/pymap3d,2021-10-18 21:07:53.000000,6.0,40057.0,40830.0,https://anaconda.org/conda-forge/pymap3d,2021-10-19 05:47:09.404000,16244.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n726,Muda,bmcfee/muda,,audio,https://github.com/bmcfee/muda,https://github.com/bmcfee/muda,ISC,2014-11-07 21:21:22.000000,2021-12-15 16:53:25.527000,2021-05-03 14:04:36.000000,34,7.0,44.0,196.0,293.0,A library for augmenting annotated audio data.,7.0,19,False,2019-11-15 15:46:21.000000,0.4.1,12.0,muda,,,,,15.0,14.0,https://pypi.org/project/muda,2021-12-15 16:53:25.527000,1.0,163.0,163.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n727,Funsor,pyro-ppl/funsor,,probabilistics,https://github.com/pyro-ppl/funsor,https://github.com/pyro-ppl/funsor,Apache-2.0,2019-01-30 23:13:39.000000,2021-12-13 22:27:14.000000,2021-12-13 22:24:28.000000,14,83.0,73.0,186.0,561.0,Functional tensors for probabilistic programming.,9.0,19,False,2021-12-13 22:52:43.000000,0.4.2,8.0,funsor,,,,['pytorch'],21.0,21.0,https://pypi.org/project/funsor,2021-12-13 22:27:14.000000,0.0,1085.0,1085.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n728,flupy,olirice/flupy,,data-pipelines,https://github.com/olirice/flupy,https://github.com/olirice/flupy,MIT,2018-01-06 16:46:04.000000,2021-11-05 17:01:59.000000,2021-11-05 17:01:56.000000,12,3.0,9.0,167.0,195.0,Fluent data pipelines for python and your shell.,6.0,19,False,2021-10-15 12:35:59.000000,1.1.9,37.0,flupy,,,,,0.0,,https://pypi.org/project/flupy,2021-10-15 12:35:59.000000,0.0,31782.0,31782.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n729,TTS,mozilla/TTS,,audio,https://github.com/mozilla/TTS,https://github.com/mozilla/TTS,MPL-2.0,2018-01-23 14:22:06.000000,2021-08-10 18:22:41.000000,2021-02-12 10:36:31.000000,854,17.0,506.0,5476.0,2184.0,Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts).,56.0,18,True,2021-01-29 00:03:56.000000,0.0.9,1.0,,,,,,,,,,,,142.0,,,,,,,,3.0,,1566.0,,,,,,,,,,,,,,,,,,,\n730,graph-nets,deepmind/graph_nets,,graph,https://github.com/deepmind/graph_nets,https://github.com/deepmind/graph_nets,Apache-2.0,2018-08-31 08:19:28.000000,2020-12-04 17:43:48.000000,2020-12-04 17:43:47.000000,764,7.0,120.0,5051.0,47.0,Build Graph Nets in Tensorflow.,10.0,18,True,2020-01-29 16:00:25.000000,1.1.0,7.0,graph-nets,,,,['tensorflow'],7.0,,https://pypi.org/project/graph-nets,2020-01-29 16:00:25.000000,7.0,833.0,833.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n731,BytePS,bytedance/byteps,,distributed-ml,https://github.com/bytedance/byteps,https://github.com/bytedance/byteps,Apache-2.0,2019-06-25 07:00:13.000000,2021-12-23 08:22:00.000000,2021-10-12 16:17:49.000000,425,100.0,156.0,3037.0,427.0,A high performance and generic framework for distributed DNN training.,19.0,18,True,2020-08-27 15:42:13.000000,0.2.4,8.0,byteps,,bytepsimage/tensorflow,,,,,https://pypi.org/project/byteps,2021-08-02 17:37:42.000000,,53.0,93.0,,,,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,1212.0,3.0,,,,,,,,,,,,,,,,,,,,,\n732,opyrator,ml-tooling/opyrator,,others,https://github.com/ml-tooling/opyrator,https://github.com/ml-tooling/opyrator,MIT,2021-04-06 08:09:06.000000,2021-12-22 02:21:20.000000,2021-05-06 12:10:38.000000,107,14.0,22.0,2520.0,,\"Turns your machine learning code into microservices with web API, interactive GUI, and more.\",4.0,18,True,2021-05-04 18:48:03.000000,0.0.12,11.0,opyrator,,,,,29.0,29.0,https://pypi.org/project/opyrator,2021-05-04 18:48:03.000000,,385.0,385.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n733,cuML,rapidsai/cuml,,gpu-utilities,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000000,2021-12-22 08:18:16.000000,2021-12-18 07:13:23.000000,368,656.0,1287.0,2509.0,,cuML - RAPIDS Machine Learning Library.,144.0,18,True,2021-12-08 19:17:51.000000,21.12.00,19.0,cuml,,,,,0.0,,https://pypi.org/project/cuml,2020-06-01 20:09:10.000000,0.0,670.0,670.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n734,zenml,maiot-io/zenml,,data-pipelines,https://github.com/zenml-io/zenml,https://github.com/zenml-io/zenml,Apache-2.0,2020-11-19 09:25:46.000000,2021-12-30 14:52:04.000000,2021-12-29 08:30:21.000000,90,10.0,46.0,1540.0,,ZenML : MLOps framework to create reproducible pipelines.,22.0,18,True,2021-12-23 17:07:22.000000,0.5.6,43.0,zenml,,,,,,,https://pypi.org/project/zenml,2021-12-23 17:03:42.000000,,608.0,608.0,,,,,,,,3.0,,,,,,,,,,,zenml-io/zenml,,,,,,,,,,\n735,Antialiased CNNs,adobe/antialiased-cnns,,pytorch-utils,https://github.com/adobe/antialiased-cnns,https://github.com/adobe/antialiased-cnns,CC BY-NC-SA 4.0,2019-05-14 20:51:25.000000,2021-09-29 18:48:52.000000,2021-09-29 18:48:52.000000,185,11.0,31.0,1471.0,239.0,pip install antialiased-cnns to improve stability and accuracy.,6.0,18,False,2020-10-23 22:45:52.000000,0.3,6.0,antialiased-cnns,,,,['pytorch'],14.0,14.0,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49.000000,0.0,711.0,711.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n736,sklearn-porter,nok/sklearn-porter,,model-serialisation,https://github.com/nok/sklearn-porter,https://github.com/nok/sklearn-porter,MIT,2016-06-22 22:21:34.000000,2021-11-23 15:46:59.000000,2019-12-18 13:31:50.000000,142,42.0,29.0,1114.0,699.0,\"Transpile trained scikit-learn estimators to C, Java, JavaScript and others.\",11.0,18,False,2019-12-18 13:39:19.000000,0.7.4,20.0,sklearn-porter,,,,['sklearn'],1.0,,https://pypi.org/project/sklearn-porter,2019-12-18 13:39:19.000000,1.0,473.0,473.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n737,Sockeye,awslabs/sockeye,,nlp,https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30.000000,2021-12-20 10:02:11.000000,2021-12-19 16:49:18.000000,303,10.0,252.0,1038.0,,Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch.,54.0,18,True,2021-12-20 10:02:11.000000,3.0.7,69.0,sockeye,,,,['mxnet'],2.0,,https://pypi.org/project/sockeye,2021-12-20 10:02:11.000000,2.0,994.0,994.0,,,,,,,,3.0,,14.0,,,,,,,,,,,,,,,,,,,\n738,Fiber,uber/fiber,,distributed-ml,https://github.com/uber/fiber,https://github.com/uber/fiber,Apache-2.0,2020-01-07 18:16:24.000000,2021-06-30 02:02:42.000000,2021-03-15 07:00:08.000000,103,20.0,8.0,948.0,66.0,Distributed Computing for AI Made Simple.,5.0,18,True,2020-07-09 03:28:28.000000,0.2.1,6.0,fiber,,,,,31.0,30.0,https://pypi.org/project/fiber,2020-07-09 03:28:28.000000,1.0,1657.0,1657.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n739,Bounter,RaRe-Technologies/bounter,,data-containers,https://github.com/RaRe-Technologies/bounter,https://github.com/RaRe-Technologies/bounter,MIT,2017-07-18 07:24:15.000000,2021-09-19 00:43:46.000000,2021-05-24 07:29:54.000000,48,14.0,9.0,930.0,156.0,Efficient Counter that uses a limited (bounded) amount of memory regardless of data size.,8.0,18,True,2020-08-17 06:37:51.000000,1.1.1,7.0,bounter,,,,,39.0,25.0,https://pypi.org/project/bounter,2020-08-17 06:37:51.000000,14.0,167.0,167.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n740,pytorch2keras,gmalivenko/pytorch2keras,,model-serialisation,https://github.com/gmalivenko/pytorch2keras,https://github.com/gmalivenko/pytorch2keras,MIT,2017-11-16 20:21:43.000000,2021-09-28 21:39:06.000000,2021-08-06 08:18:46.000000,127,50.0,67.0,767.0,282.0,PyTorch to Keras model convertor.,13.0,18,True,2020-05-14 10:03:56.000000,0.2.4,23.0,pytorch2keras,,,,,27.0,26.0,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56.000000,1.0,646.0,646.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n741,Performer Pytorch,lucidrains/performer-pytorch,,pytorch-utils,https://github.com/lucidrains/performer-pytorch,https://github.com/lucidrains/performer-pytorch,MIT,2020-10-03 03:41:36.000000,2021-11-07 01:03:14.000000,2021-11-07 01:02:14.000000,101,28.0,41.0,764.0,,\"An implementation of Performer, a linear attention-based transformer, in Pytorch.\",6.0,18,True,2021-11-07 01:03:14.000000,1.1.3,79.0,performer-pytorch,,,,['pytorch'],36.0,36.0,https://pypi.org/project/performer-pytorch,2021-11-07 01:03:14.000000,0.0,1048.0,1048.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n742,Saliency,PAIR-code/saliency,,tensorflow-utils,https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35.000000,2021-07-28 22:22:28.000000,2021-07-28 22:22:27.000000,159,14.0,26.0,754.0,79.0,\"Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).\",14.0,18,True,2021-05-03 16:33:29.000000,0.1.3,10.0,saliency,,,,['tensorflow'],21.0,19.0,https://pypi.org/project/saliency,2021-05-03 16:33:29.000000,2.0,809.0,809.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n743,whylogs,whylabs/whylogs,,data-pipelines,https://github.com/whylabs/whylogs,https://github.com/whylabs/whylogs,Apache-2.0,2020-08-14 23:25:32.000000,2021-12-30 13:15:19.000000,2021-12-28 22:24:06.000000,36,36.0,60.0,708.0,,Open standard for end-to-end data and ML monitoring for any scale in any infrastructure.,26.0,18,True,2021-12-29 00:08:26.000000,0.6.19,108.0,whylogs,,,,,,,https://pypi.org/project/whylogs,2021-12-29 00:10:52.000000,,3053.0,3055.0,,,,,,,,3.0,,47.0,,,,,,,,,,,,,,,,,,,\n744,avalanche,ContinualAI/avalanche,,others,https://github.com/ContinualAI/avalanche,https://github.com/ContinualAI/avalanche,MIT,2020-03-05 11:32:13.000000,2021-12-29 04:32:57.000000,2021-12-25 13:46:40.000000,107,71.0,377.0,696.0,2273.0,Avalanche: an End-to-End Library for Continual Learning.,47.0,18,True,2021-12-16 11:04:28.000000,0.1.0,2.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n745,robustness,MadryLab/robustness,,adversarial,https://github.com/MadryLab/robustness,https://github.com/MadryLab/robustness,MIT,2019-08-21 09:26:33.000000,2021-11-30 00:11:07.000000,2021-11-30 00:11:07.000000,121,13.0,54.0,640.0,141.0,\"A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.\",13.0,18,True,2020-12-01 06:11:12.000000,1.2.1.post2,10.0,robustness,,,,,69.0,67.0,https://pypi.org/project/robustness,2020-12-01 06:21:33.000000,2.0,882.0,882.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n746,nboost,koursaros-ai/nboost,,nlp,https://github.com/koursaros-ai/nboost,https://github.com/koursaros-ai/nboost,Apache-2.0,2019-10-29 20:56:24.000000,2020-09-30 14:51:16.000000,2020-07-16 19:48:25.000000,65,29.0,50.0,602.0,1336.0,\"NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search..\",10.0,18,False,2020-06-12 20:05:15.000000,0.3.9,26.0,nboost,,,,,3.0,3.0,https://pypi.org/project/nboost,2020-06-12 20:05:15.000000,,153.0,153.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n747,SKLL,EducationalTestingService/skll,,ml-experiments,https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,BSD-1-Clause,2013-08-02 14:31:46.000000,2021-12-29 21:39:23.000000,2021-12-21 20:03:06.000000,65,32.0,365.0,527.0,,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,36.0,18,False,2021-12-21 20:12:29.000000,3.0,65.0,skll,,,,['sklearn'],69.0,35.0,https://pypi.org/project/skll,2021-12-21 20:08:55.000000,34.0,541.0,541.0,,,,,,,,3.0,,11.0,,,,,,,,,,,,,,,,,,,\n748,Submit it,facebookincubator/submitit,,distributed-ml,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09.000000,2021-12-09 11:50:36.000000,2021-12-09 11:50:36.000000,48,25.0,32.0,518.0,,Python 3.6+ toolbox for submitting jobs to Slurm.,17.0,18,True,2021-11-30 13:57:53.000000,1.4.1,15.0,submitit,conda-forge/submitit,,,,0.0,,https://pypi.org/project/submitit,2021-11-30 13:57:53.000000,0.0,11997.0,12315.0,https://anaconda.org/conda-forge/submitit,2021-02-10 12:48:57.745000,5088.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n749,Baal,ElementAI/baal,,probabilistics,https://github.com/ElementAI/baal,https://github.com/ElementAI/baal,Apache-2.0,2019-09-30 20:16:26.000000,2021-12-24 19:06:57.000000,2021-12-23 17:52:06.000000,49,18.0,44.0,518.0,152.0,Library to enable Bayesian active learning in your research or labeling work.,11.0,18,True,2021-12-17 20:29:34.000000,1.5.1,13.0,baal,,,,,0.0,,https://pypi.org/project/baal,2021-12-17 20:28:12.000000,0.0,608.0,608.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n750,tcav,tensorflow/tcav,,interpretability,https://github.com/tensorflow/tcav,https://github.com/tensorflow/tcav,Apache-2.0,2018-07-03 17:45:35.000000,2021-11-10 19:43:31.000000,2021-09-16 17:56:31.000000,117,5.0,53.0,504.0,171.0,Code for the TCAV ML interpretability project.,19.0,18,True,2021-02-23 16:17:42.000000,0.2.2,4.0,tcav,,,,['tensorflow'],13.0,11.0,https://pypi.org/project/tcav,2021-02-23 16:17:42.000000,2.0,111.0,111.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n751,N2,kakao/n2,,nn-search,https://github.com/kakao/n2,https://github.com/kakao/n2,Apache-2.0,2017-11-23 02:27:59.000000,2021-05-20 05:41:36.000000,2021-05-20 05:39:44.000000,61,17.0,20.0,500.0,242.0,TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets.,18.0,18,True,2020-10-16 03:43:47.000000,0.1.7,9.0,n2,,,,,26.0,22.0,https://pypi.org/project/n2,2020-10-16 03:10:01.000000,4.0,744.0,744.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n752,LOFO,aerdem4/lofo-importance,,interpretability,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46.000000,2021-10-04 13:21:59.000000,2021-10-04 13:20:39.000000,50,4.0,13.0,423.0,26.0,Leave One Feature Out Importance.,3.0,18,True,2021-10-04 13:21:59.000000,0.3.1,11.0,lofo-importance,,,,,6.0,6.0,https://pypi.org/project/lofo-importance,2021-10-04 13:21:59.000000,,243.0,243.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n753,animatplot,t-makaro/animatplot,,data-viz,https://github.com/t-makaro/animatplot,https://github.com/t-makaro/animatplot,MIT,2017-04-03 00:54:04.000000,2021-04-07 10:46:25.000000,2020-10-05 06:14:18.000000,35,17.0,17.0,386.0,178.0,A python package for animating plots build on matplotlib.,7.0,18,False,2020-10-05 06:20:52.000000,0.4.2,10.0,animatplot,conda-forge/animatplot,,,,31.0,29.0,https://pypi.org/project/animatplot,2020-10-05 06:20:52.000000,2.0,431.0,643.0,https://anaconda.org/conda-forge/animatplot,2020-10-06 02:02:00.460000,7234.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n754,tick,X-DataInitiative/tick,,time-series-data,https://github.com/X-DataInitiative/tick,https://github.com/X-DataInitiative/tick,BSD-3-Clause,2016-12-01 10:59:08.000000,2020-08-11 12:36:43.000000,2020-06-15 12:01:36.000000,83,55.0,164.0,364.0,413.0,\"Module for statistical learning, with a particular emphasis on time-dependent modelling.\",16.0,18,False,2019-09-11 11:25:15.000000,0.6,23.0,tick,,,,,47.0,46.0,https://pypi.org/project/tick,2020-05-24 22:01:17.000000,1.0,808.0,811.0,,,,,,,,3.0,,193.0,,,,,,,,,,,,,,,,,,,\n755,Sherpa,sherpa-ai/sherpa,,hyperopt,https://github.com/sherpa-ai/sherpa,https://github.com/sherpa-ai/sherpa,GPL-3.0,2018-05-16 21:41:54.000000,2020-10-18 07:57:50.000000,2020-10-18 07:57:48.000000,49,15.0,41.0,308.0,823.0,\"Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.\",43.0,18,False,2020-07-31 05:29:09.000000,1.0.7,8.0,parameter-sherpa,,,,,19.0,17.0,https://pypi.org/project/parameter-sherpa,2019-11-23 21:32:27.000000,2.0,314.0,314.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n756,elegy,poets-ai/elegy,,ml-frameworks,https://github.com/poets-ai/elegy,https://github.com/poets-ai/elegy,MIT,2020-06-30 14:00:37.000000,2021-12-14 13:57:24.000000,2021-12-14 13:55:52.000000,21,22.0,62.0,301.0,324.0,A High Level API for Deep Learning in JAX.,14.0,18,True,2021-12-14 13:57:24.000000,0.8.4,28.0,elegy,,,,\"['tensorflow', 'jax']\",,,https://pypi.org/project/elegy,2021-12-14 13:56:14.000000,,339.0,339.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n757,DeepGraph,deepgraph/deepgraph,,graph,https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45.000000,2021-11-08 16:53:47.290000,2021-06-14 10:58:10.000000,36,9.0,5.0,247.0,162.0,Analyze Data with Pandas-based Networks. Documentation:.,2.0,18,False,2020-10-01 13:20:38.000000,0.2.3,13.0,deepgraph,conda-forge/deepgraph,,,['pandas'],3.0,3.0,https://pypi.org/project/deepgraph,2020-10-01 13:18:38.000000,,265.0,2479.0,https://anaconda.org/conda-forge/deepgraph,2021-11-08 16:53:47.290000,115165.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n758,Julius,adefossez/julius,,audio,https://github.com/adefossez/julius,https://github.com/adefossez/julius,MIT,2020-10-26 10:54:21.000000,2021-10-20 08:30:11.000000,2021-10-20 08:28:45.000000,12,2.0,8.0,245.0,,Fast PyTorch based DSP for audio and 1D signals.,2.0,18,False,2021-10-20 08:30:11.000000,0.2.6,10.0,julius,,,,['pytorch'],50.0,50.0,https://pypi.org/project/julius,2021-10-20 08:30:11.000000,0.0,7390.0,7390.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n759,fastT5,Ki6an/fastT5,,nlp,https://github.com/Ki6an/fastT5,https://github.com/Ki6an/fastT5,Apache-2.0,2021-03-11 08:46:42.000000,2021-12-23 16:29:01.000000,2021-12-23 16:18:29.000000,27,10.0,19.0,241.0,27.0,boost inference speed of T5 models by 5x & reduce the model size by 3x.,4.0,18,False,2021-12-23 16:29:01.000000,0.1.0,10.0,fastt5,,,,,6.0,6.0,https://pypi.org/project/fastt5,2021-12-23 16:29:01.000000,,1010.0,1010.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n760,textaugment,dsfsi/textaugment,,nlp,https://github.com/dsfsi/textaugment,https://github.com/dsfsi/textaugment,MIT,2019-05-06 12:28:19.000000,2021-09-15 07:35:53.000000,2021-09-15 07:35:53.000000,33,10.0,13.0,193.0,60.0,TextAugment: Text Augmentation Library.,5.0,18,False,2020-11-05 15:04:26.000000,1.3.4,8.0,textaugment,,,,,12.0,12.0,https://pypi.org/project/textaugment,2020-11-05 15:02:11.000000,,2832.0,2833.0,,,,,,,,3.0,,53.0,,,,,,,,,,,,,,,,,,,\n761,skggm,skggm/skggm,,sklearn-utils,https://github.com/skggm/skggm,https://github.com/skggm/skggm,MIT,2016-06-11 18:35:56.000000,2021-10-01 04:11:05.000000,2020-12-24 05:43:15.000000,34,28.0,47.0,190.0,691.0,Scikit-learn compatible estimation of general graphical models.,5.0,18,False,2018-09-12 01:12:49.000000,0.2.8,6.0,skggm,,,,['sklearn'],10.0,8.0,https://pypi.org/project/skggm,2018-09-12 01:12:49.000000,2.0,43.0,43.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n762,nx-altair,Zsailer/nx_altair,,data-viz,https://github.com/Zsailer/nx_altair,https://github.com/Zsailer/nx_altair,MIT,2018-05-13 00:10:12.000000,2021-12-14 21:34:25.000000,2020-06-02 21:10:26.000000,22,6.0,4.0,185.0,51.0,Draw interactive NetworkX graphs with Altair.,3.0,18,False,2020-06-02 21:11:12.000000,0.1.6,8.0,nx-altair,,,,['jupyter'],4.0,,https://pypi.org/project/nx-altair,2020-06-02 21:11:12.000000,4.0,4297.0,4297.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n763,BatchFlow,analysiscenter/batchflow,,data-pipelines,https://github.com/analysiscenter/batchflow,https://github.com/analysiscenter/batchflow,Apache-2.0,2017-03-13 14:22:53.000000,2021-12-30 14:43:58.000000,2021-12-28 18:42:11.000000,38,40.0,67.0,169.0,4906.0,BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and..,30.0,18,False,2021-06-10 10:54:52.000000,0.5.0,7.0,batchflow,,,,,,,https://pypi.org/project/batchflow,2021-06-10 10:54:52.000000,,40.0,40.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n764,featurewiz,AutoViML/featurewiz,,hyperopt,https://github.com/AutoViML/featurewiz,https://github.com/AutoViML/featurewiz,Apache-2.0,2020-11-29 16:46:16.000000,2021-12-29 02:54:58.000000,2021-12-29 02:53:41.000000,31,5.0,3.0,107.0,,Use advanced feature engineering strategies and select best features from your data set with a single line of code.,3.0,18,False,2021-12-29 02:54:58.000000,0.0.58,51.0,featurewiz,,,,,3.0,3.0,https://pypi.org/project/featurewiz,2021-12-29 02:54:58.000000,0.0,46321.0,46321.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n765,DE⫶TR,facebookresearch/detr,,image,https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52.000000,2021-11-28 09:13:56.000000,2021-10-18 10:06:31.000000,1378,131.0,266.0,8127.0,42.0,End-to-End Object Detection with Transformers.,24.0,17,True,2020-06-29 16:41:01.000000,0.2,1.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n766,DALI,NVIDIA/DALI,,gpu-utilities,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000000,2021-12-30 10:56:12.000000,2021-12-29 11:35:09.000000,456,147.0,927.0,3649.0,,A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to..,67.0,17,True,2021-11-22 18:51:41.000000,1.8.0,46.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n767,ReAgent,facebookresearch/ReAgent,,reinforcement-learning,https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000000,2021-12-29 05:57:46.000000,2021-12-29 05:57:22.000000,426,41.0,75.0,3087.0,1339.0,\"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).\",122.0,17,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n768,Spotlight,maciejkula/spotlight,,recommender-systems,https://github.com/maciejkula/spotlight,https://github.com/maciejkula/spotlight,MIT,2017-06-25 18:52:19.000000,2020-11-15 08:21:28.000000,2020-02-09 21:03:48.000000,390,67.0,48.0,2628.0,299.0,Deep recommender models using PyTorch.,11.0,17,False,2019-09-08 10:19:53.000000,0.1.6,7.0,,maciejkula/spotlight,,,['pytorch'],,,,,,,121.0,https://anaconda.org/maciejkula/spotlight,2018-05-27 18:32:12.235000,6579.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n769,spark-deep-learning,databricks/spark-deep-learning,,data-pipelines,https://github.com/databricks/spark-deep-learning,https://github.com/databricks/spark-deep-learning,Apache-2.0,2017-05-31 17:30:28.000000,2021-09-26 02:36:04.000000,2021-08-19 02:08:33.000000,454,75.0,27.0,1901.0,136.0,Deep Learning Pipelines for Apache Spark.,16.0,17,True,2020-01-08 19:50:31.000000,1.6.0,9.0,,,,,['spark'],19.0,19.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n770,Mara Pipelines,mara/mara-pipelines,,data-pipelines,https://github.com/mara/mara-pipelines,https://github.com/mara/mara-pipelines,MIT,2018-03-31 20:37:22.000000,2021-10-27 08:01:17.000000,2021-09-18 06:45:18.000000,85,11.0,13.0,1843.0,141.0,\"A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow.\",16.0,17,True,2021-01-23 22:34:03.000000,3.1.2,7.0,mara-pipelines,,,,,8.0,8.0,https://pypi.org/project/mara-pipelines,2021-01-23 22:34:03.000000,,42.0,42.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n771,BlazingSQL,BlazingDB/blazingsql,,gpu-utilities,https://github.com/BlazingDB/blazingsql,https://github.com/BlazingDB/blazingsql,Apache-2.0,2018-09-24 18:25:45.000000,2021-10-08 18:42:47.000000,2021-09-30 21:51:09.000000,161,129.0,586.0,1655.0,,\"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.\",47.0,17,True,2021-08-16 15:40:43.000000,21.08.00,19.0,,blazingsql/blazingsql-protocol,,,,,,,,,,34.0,https://anaconda.org/blazingsql/blazingsql-protocol,2019-11-11 19:54:17.621000,940.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n772,NeuroNER,Franck-Dernoncourt/NeuroNER,,nlp,https://github.com/Franck-Dernoncourt/NeuroNER,https://github.com/Franck-Dernoncourt/NeuroNER,MIT,2017-03-07 01:24:15.000000,2021-10-16 02:17:23.000000,2019-10-02 23:26:11.000000,446,82.0,67.0,1581.0,132.0,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,7.0,17,False,2019-10-02 23:30:15.000000,1.0.8,7.0,pyneuroner,,,,,,,https://pypi.org/project/pyneuroner,2019-10-02 23:30:15.000000,,142.0,142.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n773,Advisor,tobegit3hub/advisor,,hyperopt,https://github.com/tobegit3hub/advisor,https://github.com/tobegit3hub/advisor,Apache-2.0,2017-09-14 03:50:33.000000,2019-11-11 07:09:57.869705,2019-11-11 06:59:31.000000,255,20.0,13.0,1423.0,165.0,Open-source implementation of Google Vizier for hyper parameters tuning.,11.0,17,False,2018-10-18 02:54:09.000000,0.1.6,4.0,advisor,,tobegit3hub/advisor,,,,,https://pypi.org/project/advisor,2018-10-18 02:54:09.000000,,54.0,86.0,,,,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1639.0,3.0,,,,,,,,,,,,,,,,,,,,,\n774,AdvBox,advboxes/AdvBox,,adversarial,https://github.com/advboxes/AdvBox,https://github.com/advboxes/AdvBox,Apache-2.0,2018-08-08 08:55:41.000000,2021-09-08 00:05:01.000000,2021-05-03 22:51:52.000000,241,8.0,29.0,1193.0,375.0,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,19.0,17,True,2018-12-05 02:48:50.000000,0.4.1,2.0,advbox,,,,,,,https://pypi.org/project/advbox,2018-12-05 02:48:50.000000,,35.0,35.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n775,ecco,jalammar/ecco,,interpretability,https://github.com/jalammar/ecco,https://github.com/jalammar/ecco,BSD-3-Clause,2020-11-07 10:06:34.000000,2021-12-30 11:01:06.000000,2021-12-30 11:01:04.000000,66,11.0,15.0,1022.0,,\"Visualize, analyze, and explore NLP language models. Ecco creates interactive visualizations directly in Jupyter..\",6.0,17,True,2021-12-29 10:27:23.000000,0.1.0,16.0,ecco,,,,['pytorch'],3.0,3.0,https://pypi.org/project/ecco,2021-12-29 10:26:49.000000,0.0,254.0,254.0,,,,,,,,3.0,,2.0,,,,,,,,,,,,,,,,,,,\n776,DIG,divelab/DIG,,graph,https://github.com/divelab/DIG,https://github.com/divelab/DIG,GPL-3.0,2020-10-30 03:51:15.000000,2021-12-13 16:23:00.000000,2021-12-13 16:22:40.000000,131,5.0,63.0,991.0,,A library for graph deep learning research.,29.0,17,False,2021-10-13 00:38:18.000000,0.1.2,10.0,dig,,,,,8.0,,https://pypi.org/project/dig,2015-08-23 10:30:20.000000,8.0,388.0,388.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n777,iNNvestigate,albermax/innvestigate,,interpretability,https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20.000000,2021-08-03 15:45:16.000000,2021-08-03 15:45:16.000000,202,71.0,163.0,930.0,943.0,A toolbox to iNNvestigate neural networks' predictions!.,19.0,17,True,2020-11-14 11:35:59.000000,1.0.9,2.0,innvestigate,,,,['tensorflow'],1.0,,https://pypi.org/project/innvestigate,2020-11-14 11:35:59.000000,1.0,378.0,378.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n778,cuGraph,rapidsai/cugraph,,gpu-utilities,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000000,2021-12-27 18:12:52.000000,2021-12-17 19:07:52.000000,169,87.0,665.0,881.0,,cuGraph - RAPIDS Graph Analytics Library.,70.0,17,True,2021-12-08 19:15:16.000000,21.12.00,16.0,cugraph,,,,,0.0,,https://pypi.org/project/cugraph,2020-06-01 20:09:06.000000,0.0,203.0,203.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n779,ADTK,arundo/adtk,,time-series-data,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22.000000,2021-07-18 06:52:12.000000,2020-04-17 02:27:44.000000,94,26.0,34.0,764.0,78.0,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,11.0,17,False,2020-04-17 02:18:00.000000,0.6.2,13.0,adtk,,,,,,,https://pypi.org/project/adtk,2020-04-17 02:18:00.000000,,52879.0,52879.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n780,Tez,abhishekkrthakur/tez,,pytorch-utils,https://github.com/abhishekkrthakur/tez,https://github.com/abhishekkrthakur/tez,Apache-2.0,2020-11-13 10:19:22.000000,2021-12-28 11:56:53.000000,2021-12-28 11:56:11.000000,105,18.0,10.0,736.0,,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,1.0,17,True,2021-12-28 11:56:53.000000,0.2.0,14.0,tez,,,,['pytorch'],17.0,17.0,https://pypi.org/project/tez,2021-12-28 11:56:53.000000,0.0,1027.0,1027.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n781,AlphaPy,ScottfreeLLC/AlphaPy,,hyperopt,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32.000000,2021-12-22 00:07:44.000000,2021-10-23 07:17:16.000000,143,12.0,29.0,682.0,413.0,\"Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost.\",3.0,17,True,2020-08-29 18:48:20.000000,2.5.0,25.0,alphapy,,,,,3.0,3.0,https://pypi.org/project/alphapy,2020-08-29 18:44:15.000000,,126.0,126.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n782,Vulkan Kompute,EthicalML/vulkan-kompute,,gpu-utilities,https://github.com/KomputeProject/kompute,https://github.com/KomputeProject/kompute,Apache-2.0,2020-07-29 05:23:33.000000,2021-12-23 14:45:07.000000,2021-12-23 14:45:07.000000,51,51.0,106.0,638.0,971.0,\"General purpose GPU compute framework for cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast,..\",16.0,17,True,2021-09-16 04:09:57.000000,0.8.0,12.0,kp,,,,,2.0,2.0,https://pypi.org/project/kp,2021-09-15 06:20:19.000000,,90.0,96.0,,,,,,,,3.0,,106.0,,,,,,,,,KomputeProject/kompute,,,,,,,,,,\n783,TF Compression,tensorflow/compression,,tensorflow-utils,https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19.000000,2021-12-07 10:23:50.000000,2021-10-26 22:08:24.000000,199,3.0,73.0,560.0,175.0,Data compression in TensorFlow.,10.0,17,True,2021-05-14 00:38:32.000000,2.2,11.0,tensorflow-compression,,,,['tensorflow'],1.0,,https://pypi.org/project/tensorflow-compression,2021-05-14 00:25:53.000000,1.0,570.0,570.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n784,kale,kubeflow-kale/kale,,data-pipelines,https://github.com/kubeflow-kale/kale,https://github.com/kubeflow-kale/kale,Apache-2.0,2019-01-24 17:58:44.000000,2021-11-09 16:15:00.000000,2021-10-20 12:44:09.000000,89,83.0,72.0,469.0,644.0,Kubeflows superfood for Data Scientists.,10.0,17,True,2021-05-19 12:56:53.000000,0.7.0,15.0,kubeflow-kale,,,,['jupyter'],,,https://pypi.org/project/kubeflow-kale,2021-05-19 12:56:53.000000,,1094.0,1094.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n785,BioPandas,rasbt/biopandas,,others,https://github.com/rasbt/biopandas,https://github.com/rasbt/biopandas,BSD-3-Clause,2015-11-21 00:00:14.000000,2021-09-24 00:14:13.000000,2021-09-24 00:11:37.000000,89,15.0,24.0,401.0,,Working with molecular structures in pandas DataFrames.,8.0,17,True,2021-08-30 11:52:40.000000,0.2.9,14.0,biopandas,conda-forge/biopandas,,,['pandas'],6.0,,https://pypi.org/project/biopandas,2021-09-24 00:14:13.000000,6.0,2481.0,4044.0,https://anaconda.org/conda-forge/biopandas,2021-08-31 18:19:35.536000,93794.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n786,atspy,firmai/atspy,,time-series-data,https://github.com/firmai/atspy,https://github.com/firmai/atspy,MIT,2020-01-28 05:00:10.000000,2021-12-18 09:26:18.000000,2021-12-18 09:26:18.000000,80,18.0,2.0,400.0,99.0,AtsPy: Automated Time Series Models in Python (by @firmai).,5.0,17,True,2020-11-12 16:10:48.000000,zen,39.0,atspy,,,,,5.0,5.0,https://pypi.org/project/atspy,2020-04-24 18:16:15.000000,,1201.0,1201.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n787,interpret-text,interpretml/interpret-text,,interpretability,https://github.com/interpretml/interpret-text,https://github.com/interpretml/interpret-text,MIT,2019-09-04 16:39:48.000000,2021-12-07 15:12:02.000000,2021-12-06 17:38:41.000000,53,58.0,16.0,288.0,146.0,A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the..,17.0,17,False,2021-12-07 15:12:02.000000,0.1.3,5.0,interpret-text,,,,['jupyter'],,,https://pypi.org/project/interpret-text,2021-12-07 01:57:31.000000,,202.0,202.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n788,solt,MIPT-Oulu/solt,,image,https://github.com/MIPT-Oulu/solt,https://github.com/MIPT-Oulu/solt,MIT,2018-08-02 15:09:05.000000,2021-10-12 22:58:52.000000,2020-04-09 06:44:39.000000,19,17.0,30.0,251.0,336.0,Streaming over lightweight data transformations.,4.0,17,False,2020-03-10 14:09:31.000000,0.1.9,18.0,solt,,,,,28.0,25.0,https://pypi.org/project/solt,2020-03-10 14:09:31.000000,3.0,113.0,113.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n789,Larq Compute Engine,larq/compute-engine,,model-serialisation,https://github.com/larq/compute-engine,https://github.com/larq/compute-engine,Apache-2.0,2019-08-29 15:02:43.000000,2021-12-24 15:47:47.000000,2021-12-22 16:12:03.000000,28,21.0,117.0,177.0,,Highly optimized inference engine for Binarized Neural Networks.,18.0,17,False,2021-09-08 21:44:17.000000,0.6.2,15.0,larq-compute-engine,,,,,4.0,4.0,https://pypi.org/project/larq-compute-engine,2021-09-08 21:44:17.000000,,319.0,334.0,,,,,,,,3.0,,333.0,,,,,,,,,,,,,,,,,,,\n790,ipyexperiments,stas00/ipyexperiments,,gpu-utilities,https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40.000000,2021-12-07 18:50:39.000000,2021-12-07 18:50:38.000000,10,1.0,5.0,143.0,203.0,jupyter/ipython experiment containers for GPU and general RAM re-use.,3.0,17,False,2021-12-07 18:44:34.000000,0.1.28,24.0,ipyexperiments,,,,['jupyter'],7.0,5.0,https://pypi.org/project/ipyexperiments,2021-12-07 18:44:34.000000,2.0,191.0,191.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n791,celer,mathurinm/celer,,sklearn-utils,https://github.com/mathurinm/celer,https://github.com/mathurinm/celer,BSD-3-Clause,2018-02-20 19:37:31.000000,2021-12-10 09:56:59.000000,2021-12-10 09:44:45.000000,23,14.0,55.0,128.0,,\"Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.\",9.0,17,False,2021-10-28 09:58:28.000000,0.6.1,11.0,celer,,,,['sklearn'],10.0,10.0,https://pypi.org/project/celer,2021-10-28 09:58:28.000000,,305.0,305.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n792,DeepMind Lab,deepmind/lab,,reinforcement-learning,https://github.com/deepmind/lab,https://github.com/deepmind/lab,GPL-2.0,2016-11-30 13:41:26.000000,2021-11-01 21:58:46.000000,2021-07-21 17:50:32.000000,1323,51.0,160.0,6608.0,488.0,A customisable 3D platform for agent-based AI research.,7.0,16,False,2020-12-07 11:26:33.000000,release-2020-12-07,8.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n793,tinygrad,geohot/tinygrad,,pytorch-utils,https://github.com/geohot/tinygrad,https://github.com/geohot/tinygrad,MIT,2020-10-18 16:23:12.000000,2021-12-12 18:45:12.000000,2021-12-12 18:45:10.000000,569,21.0,83.0,5126.0,641.0,You like pytorch? You like micrograd? You love tinygrad!.,52.0,16,True,,,,,,,,['pytorch'],1.0,1.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n794,GraphEmbedding,shenweichen/GraphEmbedding,,graph,https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20.000000,2021-12-28 14:47:17.000000,2020-10-18 09:32:47.000000,751,39.0,14.0,2485.0,28.0,Implementation and experiments of graph embedding algorithms.,8.0,16,False,,,,,,,,['sklearn'],12.0,12.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n795,keepsake,replicate/keepsake,,ml-experiments,https://github.com/replicate/keepsake,https://github.com/replicate/keepsake,Apache-2.0,2020-07-01 04:37:44.000000,2021-12-21 23:28:16.000000,2021-05-07 00:33:52.000000,59,123.0,64.0,1529.0,,Version control for machine learning.,16.0,16,True,2021-03-11 21:15:01.000000,0.4.2,7.0,keepsake,,,,,,,https://pypi.org/project/keepsake,2021-03-11 21:15:01.000000,,655.0,655.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n796,Lambda Networks,lucidrains/lambda-networks,,pytorch-utils,https://github.com/lucidrains/lambda-networks,https://github.com/lucidrains/lambda-networks,MIT,2020-10-08 19:01:15.000000,2020-11-18 19:54:34.000000,2020-11-18 19:54:30.000000,152,12.0,15.0,1497.0,,\"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.\",3.0,16,False,2020-11-18 08:19:23.000000,0.4.0,11.0,lambda-networks,,,,['pytorch'],4.0,4.0,https://pypi.org/project/lambda-networks,2020-11-18 08:19:23.000000,,35.0,35.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n797,Xcessiv,reiinakano/xcessiv,,hyperopt,https://github.com/reiinakano/xcessiv,https://github.com/reiinakano/xcessiv,Apache-2.0,2017-03-07 18:18:25.000000,2018-06-06 22:23:37.000000,2017-08-21 00:51:15.000000,109,22.0,13.0,1261.0,316.0,\"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.\",6.0,16,False,2017-08-21 00:53:25.000000,0.5.1,34.0,xcessiv,,,,,2.0,1.0,https://pypi.org/project/xcessiv,2017-08-21 00:49:41.000000,1.0,84.0,84.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n798,Botflow,kkyon/botflow,,data-pipelines,https://github.com/kkyon/botflow,https://github.com/kkyon/botflow,BSD-3-Clause,2018-08-20 03:13:31.000000,2020-12-31 09:03:22.000000,2019-05-23 14:40:50.000000,100,2.0,2.0,1177.0,192.0,\"Python Fast Dataflow programming framework for Data pipeline work( Web Crawler,Machine Learning,Quantitative..\",11.0,16,False,2018-09-14 14:38:32.000000,0.2.0,5.0,botflow,,,,,1.0,1.0,https://pypi.org/project/botflow,2018-09-14 14:38:32.000000,,21.0,21.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n799,MedicalTorch,perone/medicaltorch,,medical-data,https://github.com/perone/medicaltorch,https://github.com/perone/medicaltorch,Apache-2.0,2018-02-27 02:50:07.000000,2021-12-04 23:52:48.000000,2021-04-16 18:50:54.000000,112,14.0,9.0,758.0,57.0,A medical imaging framework for Pytorch.,8.0,16,True,2018-11-24 00:33:11.000000,0.2,2.0,medicaltorch,,,,['pytorch'],11.0,11.0,https://pypi.org/project/medicaltorch,2018-11-24 00:29:36.000000,,146.0,146.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n800,Anchor,marcotcr/anchor,,interpretability,https://github.com/marcotcr/anchor,https://github.com/marcotcr/anchor,BSD-2-Clause,2018-02-02 23:38:50.000000,2021-11-17 21:38:50.000000,2021-11-17 21:38:50.000000,93,18.0,51.0,675.0,45.0,Code for High-Precision Model-Agnostic Explanations paper.,10.0,16,True,,,8.0,anchor_exp,,,,,,,https://pypi.org/project/anchor_exp,2020-06-26 20:56:50.000000,,2335.0,2335.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n801,SpeedTorch,Santosh-Gupta/SpeedTorch,,gpu-utilities,https://github.com/Santosh-Gupta/SpeedTorch,https://github.com/Santosh-Gupta/SpeedTorch,MIT,2019-09-07 18:57:52.000000,2020-02-21 23:13:29.000000,2020-02-21 23:13:28.000000,39,4.0,2.0,644.0,170.0,Library for faster pinned CPU - GPU transfer in Pytorch.,3.0,16,False,2020-01-06 05:27:17.000000,0.1.6,14.0,SpeedTorch,,,,['pytorch'],5.0,3.0,https://pypi.org/project/SpeedTorch,2020-01-06 05:27:17.000000,2.0,32.0,32.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n802,ThunderGBM,Xtra-Computing/thundergbm,,ml-frameworks,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08.000000,2021-11-23 01:55:15.000000,2021-01-05 04:22:15.000000,80,31.0,33.0,616.0,606.0,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,10.0,16,True,2020-05-01 23:16:25.000000,0.3.16,24.0,thundergbm,,,,,,,https://pypi.org/project/thundergbm,2020-05-01 23:16:25.000000,,66.0,66.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n803,textflint,textflint/textflint,,adversarial,https://github.com/textflint/textflint,https://github.com/textflint/textflint,GPL-3.0,2021-03-06 11:15:52.000000,2021-12-30 09:06:33.000000,2021-10-08 13:25:47.000000,82,2.0,23.0,530.0,169.0,Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing.,12.0,16,False,2021-08-30 06:41:29.000000,0.0.5,5.0,textflint,,,,,2.0,2.0,https://pypi.org/project/textflint,2021-08-30 06:41:29.000000,,89.0,89.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n804,Auto Tune Models,HDI-Project/ATM,,hyperopt,https://github.com/HDI-Project/ATM,https://github.com/HDI-Project/ATM,MIT,2016-10-14 18:03:00.000000,2020-02-21 17:44:07.000000,2020-02-21 17:40:58.000000,129,17.0,71.0,512.0,775.0,\"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).\",16.0,16,False,2019-07-30 09:28:26.000000,0.2.2,14.0,atm,,,,,9.0,9.0,https://pypi.org/project/atm,2019-07-30 09:25:11.000000,,85.0,85.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n805,pytorch_tabular,manujosephv/pytorch_tabular,,tabular,https://github.com/manujosephv/pytorch_tabular,https://github.com/manujosephv/pytorch_tabular,MIT,2020-12-15 07:17:03.000000,2021-12-29 01:59:37.000000,2021-12-29 01:59:28.000000,46,16.0,31.0,500.0,,A standard framework for modelling Deep Learning Models for tabular data.,7.0,16,True,2021-09-01 11:51:30.000000,0.7.0,8.0,pytorch_tabular,,,,['pytorch'],,,https://pypi.org/project/pytorch_tabular,2021-09-01 11:51:30.000000,,686.0,686.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n806,kglib,vaticle/kglib,,graph,https://github.com/vaticle/kglib,https://github.com/vaticle/kglib,Apache-2.0,2018-09-16 16:46:48.000000,2021-10-22 14:09:11.000000,2021-10-22 14:09:00.000000,86,12.0,49.0,482.0,488.0,Grakn Knowledge Graph Library (ML R&D).,7.0,16,True,2020-08-19 15:39:10.000000,0.2.2,7.0,grakn-kglib,,,,,,,https://pypi.org/project/grakn-kglib,2020-08-19 15:39:10.000000,,43.0,49.0,,,,,,,,3.0,,211.0,,,,,,,,,,,,,,,,,,,\n807,Sematch,gsi-upm/sematch,,graph,https://github.com/gsi-upm/sematch,https://github.com/gsi-upm/sematch,Apache-2.0,2012-11-30 11:11:53.000000,2020-11-05 21:20:52.000000,2019-03-27 03:17:24.000000,101,14.0,19.0,372.0,122.0,semantic similarity framework for knowledge graph.,5.0,16,False,2017-04-17 10:56:52.000000,1.0.4,5.0,sematch,,,,,33.0,30.0,https://pypi.org/project/sematch,2017-04-17 10:56:52.000000,3.0,142.0,142.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n808,carefree-learn,carefree0910/carefree-learn,,tabular,https://github.com/carefree0910/carefree-learn,https://github.com/carefree0910/carefree-learn,MIT,2020-06-17 17:44:17.000000,2021-12-30 10:06:39.000000,2021-12-30 10:06:35.000000,30,,80.0,355.0,194.0,Deep Learning PyTorch.,1.0,16,True,2021-10-29 05:39:15.000000,0.2.1,20.0,carefree-learn,,,,['pytorch'],2.0,2.0,https://pypi.org/project/carefree-learn,2021-10-29 05:36:03.000000,,39.0,39.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n809,Camphr,PKSHATechnology-Research/camphr,,nlp,https://github.com/PKSHATechnology-Research/camphr,https://github.com/PKSHATechnology-Research/camphr,Apache-2.0,2020-02-10 03:39:58.000000,2021-08-18 06:06:52.000000,2021-08-18 06:06:51.000000,17,2.0,25.0,342.0,1404.0,Camphr - NLP libary for creating pipeline components.,7.0,16,True,2021-07-28 07:48:46.000000,0.10.0,48.0,camphr,,,,['spacy'],0.0,,https://pypi.org/project/camphr,2021-07-28 07:48:46.000000,0.0,117.0,117.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n810,pdvega,altair-viz/pdvega,,data-viz,https://github.com/altair-viz/pdvega,https://github.com/altair-viz/pdvega,MIT,2018-01-11 21:30:27.000000,2019-03-29 16:09:14.000000,2019-03-29 16:09:13.000000,30,16.0,10.0,339.0,177.0,Interactive plotting for Pandas using Vega-Lite.,9.0,16,False,,,1.0,pdvega,,,,,66.0,59.0,https://pypi.org/project/pdvega,2018-02-01 04:56:43.000000,7.0,140.0,140.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n811,datmo,datmo/datmo,,ml-experiments,https://github.com/datmo/datmo,https://github.com/datmo/datmo,MIT,2017-11-03 05:46:43.000000,2021-06-01 22:48:33.000000,2019-11-29 00:48:44.000000,27,42.0,149.0,338.0,1051.0,Open source production model management tool for data scientists.,6.0,16,False,2018-12-07 06:16:42.000000,0.0.40,41.0,datmo,,,,,5.0,5.0,https://pypi.org/project/datmo,2018-12-07 06:16:42.000000,,88.0,88.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n812,bodywork-core,bodywork-ml/bodywork-core,,data-pipelines,https://github.com/bodywork-ml/bodywork-core,https://github.com/bodywork-ml/bodywork-core,AGPL-3.0,2020-11-17 11:38:17.000000,2021-12-24 13:01:44.000000,2021-12-24 12:45:51.000000,16,7.0,48.0,315.0,778.0,\"ML pipeline orchestration and model deployments on Kubernetes, made really easy.\",4.0,16,False,2021-07-05 08:15:59.000000,2.1.7,46.0,bodywork,,,,,9.0,9.0,https://pypi.org/project/bodywork,2021-12-24 12:53:14.000000,,64.0,64.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n813,NeuralQA,victordibia/neuralqa,,nlp,https://github.com/victordibia/neuralqa,https://github.com/victordibia/neuralqa,MIT,2020-05-19 03:55:56.000000,2021-11-10 19:59:22.000000,2020-12-16 17:41:37.000000,31,31.0,8.0,218.0,312.0,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,3.0,16,False,,,27.0,neuralqa,,,,,3.0,3.0,https://pypi.org/project/neuralqa,2020-09-18 17:54:50.000000,,62.0,62.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n814,Parfit,jmcarpenter2/parfit,,hyperopt,https://github.com/jmcarpenter2/parfit,https://github.com/jmcarpenter2/parfit,MIT,2017-11-22 20:17:51.000000,2020-04-04 19:26:44.000000,2020-04-04 19:26:37.000000,25,6.0,5.0,199.0,127.0,\"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..\",2.0,16,False,,,23.0,parfit,,,,['sklearn'],9.0,9.0,https://pypi.org/project/parfit,2018-10-11 22:03:16.000000,,14343.0,14343.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n815,lkpy,lenskit/lkpy,,recommender-systems,https://github.com/lenskit/lkpy,https://github.com/lenskit/lkpy,MIT,2018-06-08 21:05:10.000000,2021-12-21 22:16:59.000000,2021-12-15 19:02:02.000000,49,27.0,63.0,188.0,,Python recommendation toolkit.,13.0,16,False,2021-06-22 17:06:47.000000,0.13.1,20.0,lenskit,conda-forge/lenskit,,,,0.0,,https://pypi.org/project/lenskit,2021-06-22 17:07:09.000000,0.0,1664.0,2260.0,https://anaconda.org/conda-forge/lenskit,2021-11-12 01:30:50.433000,7755.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n816,pyRDF2Vec,IBCNServices/pyRDF2Vec,,graph,https://github.com/IBCNServices/pyRDF2Vec,https://github.com/IBCNServices/pyRDF2Vec,MIT,2019-06-13 11:36:12.000000,2021-11-08 12:31:08.000000,2021-11-08 12:31:08.000000,24,3.0,42.0,137.0,1143.0,Python Implementation and Extension of RDF2Vec.,5.0,16,False,2021-06-09 10:56:14.000000,0.2.3,11.0,pyrdf2vec,,,,,,,https://pypi.org/project/pyrdf2vec,2021-06-09 10:56:14.000000,,130.0,130.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n817,steppy,minerva-ml/steppy,,ml-experiments,https://github.com/minerva-ml/steppy,https://github.com/minerva-ml/steppy,MIT,2018-01-15 09:40:49.000000,2018-11-23 09:49:59.000000,2018-11-23 09:47:34.000000,33,16.0,50.0,132.0,69.0,\"Lightweight, Python library for fast and reproducible experimentation.\",5.0,16,False,2018-11-23 09:49:59.000000,0.1.16,16.0,steppy,,,,,47.0,42.0,https://pypi.org/project/steppy,2018-11-23 09:49:59.000000,5.0,36.0,36.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n818,nptsne,biovault/nptsne,,data-viz,https://github.com/biovault/nptsne,https://github.com/biovault/nptsne,Apache-2.0,2019-06-28 08:40:25.000000,2021-12-23 19:59:24.000000,2021-02-03 08:52:27.000000,2,7.0,5.0,27.0,857.0,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,3.0,16,False,2021-12-23 15:53:08.000000,1.2.0,3.0,nptsne,,,,,3.0,3.0,https://pypi.org/project/nptsne,2021-12-23 15:53:08.000000,,353.0,353.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n819,Feature Engine,solegalli/feature_engine,,others,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2020-08-06 19:43:35.639000,2021-11-09 20:33:15.000000,2021-08-06 12:03:40.000000,5,,,11.0,,Feature engineering package with sklearn like functionality.,24.0,16,False,2021-08-31 12:15:02.000000,1.1.2,28.0,feature_engine,conda-forge/feature_engine,,,,2.0,,https://pypi.org/project/feature_engine,2021-08-31 12:15:02.000000,2.0,57996.0,58424.0,https://anaconda.org/conda-forge/feature_engine,2021-09-01 07:47:26.156000,6859.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n820,PySlowFast,facebookresearch/SlowFast,,image,https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26.000000,2021-11-03 07:05:48.000000,2021-10-28 14:20:52.000000,844,237.0,237.0,4480.0,,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,25.0,15,True,,,,,,,,['pytorch'],6.0,6.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n821,OpenNRE,thunlp/OpenNRE,,nlp,https://github.com/thunlp/OpenNRE,https://github.com/thunlp/OpenNRE,MIT,2017-02-26 07:37:12.000000,2021-12-09 19:53:22.000000,2021-12-09 19:53:22.000000,907,21.0,320.0,3456.0,161.0,An Open-Source Package for Neural Relation Extraction (NRE).,10.0,15,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n822,Euler,alibaba/euler,,graph,https://github.com/alibaba/euler,https://github.com/alibaba/euler,Apache-2.0,2019-01-10 06:32:32.000000,2021-12-30 02:31:11.000000,2020-07-29 05:53:01.000000,544,213.0,102.0,2705.0,8.0,A distributed graph deep learning framework.,5.0,15,False,2020-07-07 02:24:18.000000,2.0.0,2.0,euler-gl,,,,['tensorflow'],,,https://pypi.org/project/euler-gl,2019-04-10 01:53:45.000000,,5.0,5.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n823,pycls,facebookresearch/pycls,,image,https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17.000000,2021-10-14 20:53:57.000000,2021-08-19 02:33:54.000000,205,21.0,56.0,1812.0,,\"Codebase for Image Classification Research, written in PyTorch.\",13.0,15,True,2021-05-21 00:29:47.000000,0.2,2.0,,,,,['pytorch'],4.0,4.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n824,automl-gs,minimaxir/automl-gs,,hyperopt,https://github.com/minimaxir/automl-gs,https://github.com/minimaxir/automl-gs,MIT,2019-01-13 18:57:44.000000,2019-10-22 11:20:40.000000,2019-04-05 06:48:14.000000,164,26.0,6.0,1765.0,102.0,\"Provide an input CSV and a target field to predict, generate a model + code to run it.\",7.0,15,False,2019-04-05 06:51:04.000000,0.2.1,2.0,automl_gs,,,,,,,https://pypi.org/project/automl_gs,2019-04-05 06:47:54.000000,,14.0,14.0,,,,,,,,3.0,,27.0,,,,,,,,,,,,,,,,,,,\n825,torchsde,google-research/torchsde,,pytorch-utils,https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11.000000,2021-07-26 13:59:41.000000,2021-07-26 13:59:38.000000,98,7.0,35.0,884.0,157.0,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,5.0,15,True,2021-01-05 18:31:38.000000,0.2.4,4.0,,,,,['pytorch'],9.0,9.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n826,madgrad,facebookresearch/madgrad,,pytorch-utils,https://github.com/facebookresearch/madgrad,https://github.com/facebookresearch/madgrad,MIT,2021-01-12 19:41:06.000000,2021-08-20 18:31:57.000000,2021-08-20 18:31:57.000000,51,2.0,7.0,749.0,,MADGRAD Optimization Method.,1.0,15,True,,,2.0,madgrad,,,,['pytorch'],20.0,20.0,https://pypi.org/project/madgrad,2021-04-01 13:54:29.000000,,3921.0,3921.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n827,Translate,pytorch/translate,,nlp,https://github.com/pytorch/translate,https://github.com/pytorch/translate,BSD-3-Clause,2018-04-24 16:44:04.000000,2021-10-06 18:21:48.000000,2021-10-06 18:21:42.000000,171,66.0,27.0,716.0,810.0,Translate - a PyTorch Language Library.,87.0,15,True,,,1.0,pytorch-translate,,,,['pytorch'],,,https://pypi.org/project/pytorch-translate,2018-05-01 19:59:40.000000,,3.0,3.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n828,HyperparameterHunter,HunterMcGushion/hyperparameter_hunter,,hyperopt,https://github.com/HunterMcGushion/hyperparameter_hunter,https://github.com/HunterMcGushion/hyperparameter_hunter,MIT,2018-06-01 23:17:00.000000,2021-01-20 03:52:41.000000,2021-01-20 03:52:40.000000,87,37.0,84.0,680.0,1096.0,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries.,4.0,15,True,2019-08-06 09:09:45.000000,3.0.0,16.0,hyperparameter-hunter,,,,,2.0,,https://pypi.org/project/hyperparameter-hunter,2019-08-06 08:52:20.000000,2.0,37.0,45.0,,,,,,,,3.0,,329.0,,,,,,,,,,,,,,,,,,,\n829,NeoML,neoml-lib/neoml,,ml-frameworks,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000000,2021-12-30 13:25:00.000000,2021-12-30 13:24:52.000000,98,28.0,41.0,657.0,528.0,Machine learning framework for both deep learning and traditional algorithms.,27.0,15,True,2021-06-22 05:25:53.000000,NeoML-master_2.0.5.0,2.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n830,FlashTorch,MisaOgura/flashtorch,,interpretability,https://github.com/MisaOgura/flashtorch,https://github.com/MisaOgura/flashtorch,MIT,2019-03-22 13:00:57.000000,2021-06-30 12:46:02.000000,2021-04-27 11:10:20.000000,76,10.0,22.0,636.0,127.0,Visualization toolkit for neural networks in PyTorch! Demo --.,2.0,15,True,2020-05-29 14:39:38.000000,0.1.3,12.0,flashtorch,,,,['pytorch'],9.0,9.0,https://pypi.org/project/flashtorch,2020-05-29 14:38:32.000000,,324.0,324.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n831,OpenRec,ylongqi/openrec,,recommender-systems,https://github.com/ylongqi/openrec,https://github.com/ylongqi/openrec,Apache-2.0,2017-11-29 16:04:40.000000,2021-11-10 19:40:54.000000,2020-02-19 07:57:17.000000,84,5.0,12.0,389.0,213.0,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms.,11.0,15,False,2020-02-18 06:52:11.000000,0.3.0,12.0,openrec,,,,,2.0,1.0,https://pypi.org/project/openrec,2020-02-18 06:52:11.000000,1.0,18.0,18.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n832,tfdeploy,riga/tfdeploy,,model-serialisation,https://github.com/riga/tfdeploy,https://github.com/riga/tfdeploy,BSD-3-Clause,2016-03-07 13:08:21.000000,2021-01-08 09:52:54.000000,2021-01-08 09:52:49.000000,38,11.0,23.0,345.0,170.0,Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.,4.0,15,True,2017-03-30 10:51:26.000000,0.4.2,22.0,tfdeploy,,,,['tensorflow'],2.0,,https://pypi.org/project/tfdeploy,2017-03-30 10:51:26.000000,2.0,123.0,123.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n833,TextBox,RUCAIBox/TextBox,,nlp,https://github.com/RUCAIBox/TextBox,https://github.com/RUCAIBox/TextBox,MIT,2020-11-08 07:35:46.000000,2021-12-30 06:07:50.000000,2021-12-26 03:05:14.000000,55,3.0,15.0,322.0,,TextBox is an open-source library for building text generation system.,12.0,15,True,2021-04-15 13:39:28.000000,0.2.1,10.0,textbox,,,,,5.0,5.0,https://pypi.org/project/textbox,2021-04-15 09:35:06.000000,,59.0,59.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n834,data-describe,data-describe/data-describe,,data-viz,https://github.com/data-describe/data-describe,https://github.com/data-describe/data-describe,Apache-2.0,2020-05-04 17:58:14.000000,2021-11-30 05:04:57.000000,2021-11-19 06:05:15.000000,15,69.0,175.0,289.0,700.0,datadescribe: Pythonic EDA Accelerator for Data Science.,14.0,15,False,,,5.0,data-describe,,,,,,,https://pypi.org/project/data-describe,2020-12-03 23:07:43.000000,,270.0,270.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n835,ExplainX.ai,explainX/explainx,,interpretability,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15.000000,2021-02-07 11:06:21.000000,2021-02-02 09:03:57.000000,36,10.0,17.0,255.0,184.0,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,4.0,15,False,2021-02-07 11:06:21.000000,2.407,56.0,explainx,,,,,,,https://pypi.org/project/explainx,2021-02-04 16:44:24.000000,,416.0,416.0,,,,,,,,3.0,,2.0,,,,,,,,,,,,,,,,,,,\n836,Headliner,as-ideas/headliner,,nlp,https://github.com/as-ideas/headliner,https://github.com/as-ideas/headliner,MIT,2019-09-30 11:33:28.000000,2021-03-26 07:19:57.000000,2020-02-14 09:03:27.000000,40,1.0,13.0,230.0,276.0,Easy training and deployment of seq2seq models.,2.0,15,False,2020-01-24 09:06:29.000000,1.0.2,30.0,headliner,,,,,4.0,3.0,https://pypi.org/project/headliner,2020-01-24 09:06:29.000000,1.0,40.0,40.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n837,tsaug,arundo/tsaug,,time-series-data,https://github.com/arundo/tsaug,https://github.com/arundo/tsaug,Apache-2.0,2019-09-27 00:38:05.000000,2020-04-17 02:55:58.000000,2020-04-17 02:46:38.000000,22,7.0,3.0,219.0,10.0,A Python package for time series augmentation.,4.0,15,False,2020-04-17 02:50:25.000000,0.2.1,4.0,tsaug,,,,,,,https://pypi.org/project/tsaug,2020-04-17 02:50:25.000000,,1173.0,1173.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n838,dabl,amueller/dabl,,sklearn-utils,https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49.000000,2021-07-09 20:34:09.000000,2021-07-09 18:47:52.000000,9,1.0,,113.0,,Data Analysis Baseline Library.,21.0,15,False,2021-07-09 19:20:43.000000,0.2.2,12.0,dabl,,,,['sklearn'],,,https://pypi.org/project/dabl,2021-07-09 19:20:43.000000,,2012.0,2012.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n839,contextual-ai,SAP/contextual-ai,,interpretability,https://github.com/SAP/contextual-ai,https://github.com/SAP/contextual-ai,Apache-2.0,2020-05-12 07:15:56.000000,2021-11-11 10:54:41.000000,2021-11-11 10:53:33.000000,9,4.0,11.0,74.0,630.0,\"Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference -..\",12.0,15,False,2021-01-25 04:56:57.000000,0.0.2,2.0,contextual-ai,,,,,,,https://pypi.org/project/contextual-ai,2021-01-25 04:56:57.000000,,176.0,176.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n840,ZhuSuan,thu-ml/zhusuan,,probabilistics,https://github.com/thu-ml/zhusuan,https://github.com/thu-ml/zhusuan,MIT,2016-07-18 13:31:38.000000,2020-01-09 14:51:27.000000,2019-08-05 10:00:04.000000,401,8.0,53.0,2097.0,439.0,\"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.\",20.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n841,micrograd,karpathy/micrograd,,pytorch-utils,https://github.com/karpathy/micrograd,https://github.com/karpathy/micrograd,MIT,2020-04-13 04:31:18.000000,2021-06-24 12:28:13.000000,2020-04-18 19:15:25.000000,145,2.0,3.0,1855.0,24.0,A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.,2.0,14,False,2020-04-18 19:06:59.000000,0.1.0,1.0,micrograd,,,,['pytorch'],4.0,4.0,https://pypi.org/project/micrograd,2020-04-18 19:06:59.000000,0.0,22.0,22.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n842,Torch-Struct,harvardnlp/pytorch-struct,,pytorch-utils,https://github.com/harvardnlp/pytorch-struct,https://github.com/harvardnlp/pytorch-struct,MIT,2019-08-26 19:34:30.000000,2021-12-28 13:03:45.000000,2021-11-04 18:34:31.000000,79,24.0,28.0,1013.0,268.0,\"Fast, general, and tested differentiable structured prediction in PyTorch.\",13.0,14,True,2021-02-15 20:20:59.000000,0.5,2.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n843,AutoGL,THUMNLab/AutoGL,,graph,https://github.com/THUMNLab/AutoGL,https://github.com/THUMNLab/AutoGL,Apache-2.0,2020-11-30 14:26:22.000000,2021-12-30 14:06:45.000000,2021-11-23 02:46:46.000000,74,5.0,12.0,728.0,,An autoML framework & toolkit for machine learning on graphs.,9.0,14,True,2020-12-23 08:15:15.000000,0.1.1,2.0,auto-graph-learning,,,,['pytorch'],,,https://pypi.org/project/auto-graph-learning,2020-12-23 08:05:25.000000,,33.0,33.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n844,cuSignal,rapidsai/cusignal,,gpu-utilities,https://github.com/rapidsai/cusignal,https://github.com/rapidsai/cusignal,Apache-2.0,2019-08-22 14:27:27.000000,2021-12-17 22:12:25.000000,2021-12-08 17:57:35.000000,80,15.0,110.0,560.0,,GPU accelerated signal processing.,36.0,14,True,2021-12-08 17:04:15.000000,21.12.00,10.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n845,PandaPy,firmai/pandapy,,data-containers,https://github.com/firmai/pandapy,https://github.com/firmai/pandapy,MIT,2020-01-15 18:21:23.000000,2021-10-20 11:36:04.000000,2021-10-20 11:36:04.000000,56,2.0,1.0,488.0,85.0,PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai).,3.0,14,True,2020-11-12 16:12:54.000000,zen,22.0,pandapy,,,,['pandas'],1.0,1.0,https://pypi.org/project/pandapy,2020-01-25 23:10:32.000000,,50.0,50.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n846,deltapy,firmai/deltapy,,tabular,https://github.com/firmai/deltapy,https://github.com/firmai/deltapy,MIT,2020-04-08 05:27:53.000000,2021-12-18 09:25:30.000000,2021-12-18 09:25:30.000000,40,1.0,1.0,393.0,41.0,DeltaPy - Tabular Data Augmentation (by @firmai).,4.0,14,True,2020-11-12 16:13:21.000000,zen,11.0,deltapy,,,,,2.0,2.0,https://pypi.org/project/deltapy,2020-04-09 01:48:32.000000,,42.0,42.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n847,VizSeq,facebookresearch/vizseq,,nlp,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38.000000,2021-09-14 21:59:53.000000,2021-09-02 03:19:31.000000,43,7.0,9.0,373.0,,\"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).\",3.0,14,True,2020-08-07 01:13:52.000000,0.1.15,16.0,vizseq,,,,,3.0,3.0,https://pypi.org/project/vizseq,2020-08-07 01:13:52.000000,,53.0,53.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n848,Adversary,airbnb/artificial-adversary,,adversarial,https://github.com/airbnb/artificial-adversary,https://github.com/airbnb/artificial-adversary,MIT,2018-08-08 04:42:11.000000,2018-10-14 05:34:44.000000,2018-08-29 15:31:30.000000,51,6.0,,358.0,15.0,Tool to generate adversarial text examples and test machine learning models against them.,5.0,14,False,2018-08-29 15:14:41.000000,1.1.1,3.0,Adversary,,,,,6.0,6.0,https://pypi.org/project/Adversary,2018-08-29 15:14:41.000000,0.0,29.0,29.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n849,pykale,pykale/pykale,,others,https://github.com/pykale/pykale,https://github.com/pykale/pykale,MIT,2020-06-30 08:06:10.000000,2021-12-22 22:32:12.000000,2021-12-22 22:32:12.000000,36,10.0,64.0,314.0,,Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary..,14.0,14,True,2021-10-13 22:01:16.000000,0.1.0rc4,8.0,pykale,,,,['pytorch'],,,https://pypi.org/project/pykale,2021-10-13 22:02:19.000000,,78.0,78.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n850,TransferNLP,feedly/transfer-nlp,,nlp,https://github.com/feedly/transfer-nlp,https://github.com/feedly/transfer-nlp,MIT,2019-03-12 20:00:31.000000,2020-05-28 19:00:02.000000,2020-05-28 17:31:53.000000,18,4.0,20.0,288.0,465.0,NLP library designed for reproducible experimentation management.,7.0,14,False,2020-05-28 19:00:02.000000,0.1.6,8.0,transfer-nlp,,,,['pytorch'],,,https://pypi.org/project/transfer-nlp,2020-05-28 19:00:02.000000,,90.0,90.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n851,TorchDrift,torchdrift/torchdrift,,pytorch-utils,https://github.com/TorchDrift/TorchDrift,https://github.com/TorchDrift/TorchDrift,Apache-2.0,2021-02-10 09:27:48.000000,2021-06-29 11:52:29.000000,2021-06-29 11:52:29.000000,5,2.0,5.0,191.0,33.0,Drift Detection for your PyTorch Models.,2.0,14,False,2021-03-08 12:21:48.000000,0.1.0,3.0,torchdrift,,,,['pytorch'],12.0,12.0,https://pypi.org/project/torchdrift,2021-03-08 12:51:05.000000,,21.0,21.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n852,ONNX-T5,abelriboulot/onnxt5,,nlp,https://github.com/abelriboulot/onnxt5,https://github.com/abelriboulot/onnxt5,Apache-2.0,2020-08-01 09:38:35.000000,2021-01-28 09:26:15.000000,2021-01-28 09:24:52.000000,24,6.0,8.0,190.0,74.0,\"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..\",3.0,14,False,2021-01-28 09:26:15.000000,0.1.8,11.0,onnxt5,,,,,,,https://pypi.org/project/onnxt5,2021-01-28 09:26:15.000000,,118.0,118.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n853,textvec,textvec/textvec,,nlp,https://github.com/textvec/textvec,https://github.com/textvec/textvec,MIT,2018-04-12 14:03:53.000000,2020-12-03 14:23:11.000000,2020-12-03 14:23:04.000000,21,3.0,6.0,180.0,70.0,Text vectorization tool to outperform TFIDF for classification tasks.,4.0,14,False,2019-09-12 07:41:04.000000,2.0,4.0,textvec,,,,['sklearn'],4.0,4.0,https://pypi.org/project/textvec,2020-12-03 14:17:09.000000,,34.0,34.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n854,numerizer,jaidevd/numerizer,,nlp,https://github.com/jaidevd/numerizer,https://github.com/jaidevd/numerizer,MIT,2019-12-02 07:00:34.000000,2021-04-04 05:05:33.000000,2021-04-03 04:27:49.000000,10,2.0,4.0,133.0,17.0,A Python module to convert natural language numerics into ints and floats.,2.0,14,False,2021-04-03 04:33:45.000000,0.2.0,8.0,numerizer,,,,,16.0,16.0,https://pypi.org/project/numerizer,2021-04-03 04:33:45.000000,,2830.0,2830.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n855,ModelChimp,ModelChimp/modelchimp,,ml-experiments,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03.000000,2021-12-29 19:11:42.000000,2021-08-01 07:11:57.000000,12,4.0,10.0,122.0,363.0,Experiment tracking for machine and deep learning projects.,3.0,14,False,2019-04-09 10:43:15.000000,0.4.0,37.0,modelchimp,,modelchimp/modelchimp-server,,,,,https://pypi.org/project/modelchimp,2019-04-09 10:41:20.000000,,48.0,65.0,,,,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,650.0,3.0,,,,,,,,,,,,,,,,,,,,,\n856,DeepNeuro,QTIM-Lab/DeepNeuro,,medical-data,https://github.com/QTIM-Lab/DeepNeuro,https://github.com/QTIM-Lab/DeepNeuro,MIT,2017-06-01 19:36:34.000000,2020-06-24 13:00:15.000000,2020-06-24 13:00:14.000000,34,27.0,16.0,108.0,285.0,A deep learning python package for neuroimaging data. Made by:.,6.0,14,False,2019-06-10 21:04:04.000000,0.2.3,6.0,deepneuro,,,,,1.0,1.0,https://pypi.org/project/deepneuro,2019-06-10 21:04:04.000000,,24.0,24.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n857,StarSpace,facebookresearch/StarSpace,,ml-frameworks,https://github.com/facebookresearch/StarSpace,https://github.com/facebookresearch/StarSpace,MIT,2017-06-28 17:50:18.000000,2021-11-03 16:23:46.000000,2019-12-13 19:03:25.000000,500,50.0,148.0,3706.0,,\"Learning embeddings for classification, retrieval and ranking.\",17.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n858,OpenKE,thunlp/OpenKE,,graph,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,MIT,2017-10-08 11:20:23.000000,2021-09-29 09:46:39.000000,2021-04-06 08:24:50.000000,830,68.0,311.0,2864.0,97.0,An Open-Source Package for Knowledge Embedding (KE).,10.0,13,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n859,GraphSAGE,williamleif/GraphSAGE,,graph,https://github.com/williamleif/GraphSAGE,https://github.com/williamleif/GraphSAGE,MIT,2017-05-29 15:36:22.000000,2021-08-25 15:01:46.000000,2018-09-19 19:27:00.000000,722,96.0,59.0,2596.0,59.0,Representation learning on large graphs using stochastic graph convolutions.,9.0,13,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n860,ENAS,carpedm20/ENAS-pytorch,,hyperopt,https://github.com/carpedm20/ENAS-pytorch,https://github.com/carpedm20/ENAS-pytorch,Apache-2.0,2018-02-15 04:54:37.000000,2020-12-09 18:13:03.000000,2020-06-16 07:23:32.000000,463,37.0,7.0,2509.0,53.0,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,6.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n861,OpenNE,thunlp/OpenNE,,graph,https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20.000000,2021-09-15 14:38:30.000000,2019-08-12 10:56:27.000000,466,50.0,94.0,1531.0,98.0,An Open-Source Package for Network Embedding (NE).,10.0,13,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n862,Maze,enlite-ai/maze,,reinforcement-learning,https://github.com/enlite-ai/maze,https://github.com/enlite-ai/maze,Custom,2021-02-11 08:26:37.000000,2021-12-16 16:47:28.000000,2021-12-13 15:30:15.000000,4,1.0,2.0,200.0,,Maze Applied Reinforcement Learning Framework.,3.0,13,False,2021-12-13 16:04:42.000000,0.1.8,20.0,maze-rl,,enliteai/maze,,['pytorch'],1.0,1.0,https://pypi.org/project/maze-rl,2021-12-13 16:04:42.000000,,83.0,106.0,,,,https://hub.docker.com/r/enliteai/maze,2021-06-24 21:00:27.801118,,234.0,3.0,,,,,,,,,,,,,,,,,,,,,\n863,Auptimizer,LGE-ARC-AdvancedAI/auptimizer,,hyperopt,https://github.com/LGE-ARC-AdvancedAI/auptimizer,https://github.com/LGE-ARC-AdvancedAI/auptimizer,GPL-3.0,2019-09-12 01:08:37.000000,2021-11-10 20:14:57.000000,2021-03-03 01:30:06.000000,21,1.0,5.0,180.0,79.0,An automatic ML model optimization tool.,11.0,13,False,2021-03-03 02:00:23.000000,2.0,7.0,auptimizer,,,,,,,https://pypi.org/project/auptimizer,2021-03-02 02:40:32.000000,,34.0,34.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n864,autodist,petuum/autodist,,distributed-ml,https://github.com/petuum/autodist,https://github.com/petuum/autodist,Apache-2.0,2020-06-29 19:45:38.000000,2021-04-12 21:55:36.000000,2021-01-28 00:04:40.000000,21,11.0,1.0,114.0,208.0,Simple Distributed Deep Learning on TensorFlow.,11.0,13,False,,,2.0,autodist,,,,['tensorflow'],,,https://pypi.org/project/autodist,2020-07-16 05:36:19.000000,,36.0,36.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n865,Hypermax,electricbrainio/hypermax,,hyperopt,https://github.com/electricbrainio/hypermax,https://github.com/electricbrainio/hypermax,BSD-3-Clause,2018-07-27 18:43:01.000000,2020-08-02 18:08:50.000000,2020-08-02 18:08:46.000000,13,3.0,2.0,97.0,207.0,\"Better, faster hyper-parameter optimization.\",9.0,13,False,2019-10-23 15:40:12.000000,0.5.1,11.0,hypermax,,,,,4.0,4.0,https://pypi.org/project/hypermax,2019-10-23 15:40:12.000000,,18.0,18.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n866,Attribution Priors,suinleelab/attributionpriors,,interpretability,https://github.com/suinleelab/attributionpriors,https://github.com/suinleelab/attributionpriors,MIT,2019-06-24 23:54:24.000000,2021-03-19 19:43:58.000000,2021-03-19 19:43:51.000000,10,1.0,3.0,90.0,72.0,Tools for training explainable models using attribution priors.,6.0,13,False,2021-03-16 17:47:18.000000,1.0.0,4.0,attributionpriors,,,,\"['tensorflow', 'pytorch']\",3.0,3.0,https://pypi.org/project/attributionpriors,2019-10-31 18:03:05.000000,,35.0,35.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n867,surpriver,tradytics/surpriver,,financial-data,https://github.com/tradytics/surpriver,https://github.com/tradytics/surpriver,GPL-3.0,2020-08-30 07:56:22.000000,2021-08-13 08:02:31.000000,2020-09-21 04:32:05.000000,253,10.0,6.0,1389.0,64.0,Find big moving stocks before they move using machine learning and anomaly detection.,6.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n868,MedicalNet,Tencent/MedicalNet,,medical-data,https://github.com/Tencent/MedicalNet,https://github.com/Tencent/MedicalNet,MIT,2019-07-17 09:53:10.000000,2021-09-16 22:05:49.000000,2020-08-27 13:37:26.000000,333,50.0,14.0,1295.0,26.0,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,1.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n869,traingenerator,jrieke/traingenerator,,others,https://github.com/jrieke/traingenerator,https://github.com/jrieke/traingenerator,MIT,2020-12-03 16:47:16.000000,2021-06-28 17:42:41.000000,2021-04-29 13:46:13.000000,156,13.0,3.0,1120.0,,A web app to generate template code for machine learning.,3.0,12,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n870,Medical Detection Toolkit,MIC-DKFZ/medicaldetectiontoolkit,,medical-data,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,Apache-2.0,2018-10-12 12:34:57.000000,2021-09-09 14:14:09.000000,2021-09-09 14:14:04.000000,275,40.0,85.0,1071.0,40.0,\"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..\",3.0,12,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n871,backprop,backprop-ai/backprop,,model-serialisation,https://github.com/backprop-ai/backprop,https://github.com/backprop-ai/backprop,Apache-2.0,2020-10-30 15:25:14.000000,2021-05-03 09:15:25.000000,2021-05-03 09:15:21.000000,11,4.0,4.0,221.0,,\"Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.\",8.0,12,False,2021-04-20 13:53:12.000000,0.1.2,14.0,backprop,,,,,,,https://pypi.org/project/backprop,2021-04-20 13:53:12.000000,,62.0,62.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n872,dstack,dstackai/dstack,,others,https://github.com/dstackai/dstack,https://github.com/dstackai/dstack,Apache-2.0,2020-06-22 09:03:03.000000,2021-12-30 13:48:30.000000,,11,21.0,,183.0,,An open-source tool to rapidly develop data applications with Python.,2.0,12,False,2021-03-23 15:46:40.000000,0.6.5,37.0,dstack,,,,,,,https://pypi.org/project/dstack,2021-12-30 13:48:30.000000,,117.0,117.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n873,bias-detector,intuit/bias-detector,,interpretability,https://github.com/intuit/bias-detector,https://github.com/intuit/bias-detector,MIT,2021-02-02 16:58:52.000000,2021-12-20 16:28:25.000000,2021-12-20 16:28:25.000000,9,,,37.0,,Bias Detector is a python package for detecting bias in machine learning models.,4.0,12,False,2021-04-22 15:20:54.000000,0.0.12,11.0,bias-detector,,,,,,,https://pypi.org/project/bias-detector,2021-04-22 15:20:54.000000,,39.0,39.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n874,Lea,,,probabilistics,,http://bitbucket.org/piedenis/lea,GPL-3.0,,2021-12-05 19:02:53.000000,,3,,,,,Discrete probability distributions in Python.,,12,False,2021-12-05 19:02:53.000000,3.4.1,51.0,lea,,,,,42.0,,https://pypi.org/project/lea,2021-12-05 19:02:53.000000,42.0,2698.0,2698.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,piedenis/lea\n875,model_search,google/model_search,,hyperopt,https://github.com/google/model_search,https://github.com/google/model_search,Apache-2.0,2021-01-19 18:26:34.000000,2021-07-26 12:43:38.000000,2021-03-17 17:06:04.000000,306,35.0,15.0,3166.0,8.0,AutoML algorithms for model architecture search at scale.,1.0,11,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n876,GraphVite,DeepGraphLearning/graphvite,,graph,https://github.com/DeepGraphLearning/graphvite,https://github.com/DeepGraphLearning/graphvite,Apache-2.0,2019-07-16 15:48:20.000000,2021-01-14 02:19:03.000000,2021-01-14 02:18:46.000000,130,35.0,56.0,984.0,15.0,GraphVite: A General and High-performance Graph Embedding System.,1.0,11,True,,,4.0,,milagraph/graphvite,,,,,,,,,,146.0,https://anaconda.org/milagraph/graphvite,2020-03-19 18:21:30.972000,4096.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n877,Devol,joeddav/devol,,hyperopt,https://github.com/joeddav/devol,https://github.com/joeddav/devol,MIT,2017-02-10 03:07:54.000000,2020-07-05 21:56:59.000000,2020-07-05 21:56:58.000000,109,7.0,20.0,935.0,116.0,Genetic neural architecture search with Keras.,18.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n878,PySparNN,facebookresearch/pysparnn,,nn-search,https://github.com/facebookresearch/pysparnn,https://github.com/facebookresearch/pysparnn,BSD-3-Clause,2016-03-28 20:43:42.000000,2020-10-02 06:01:01.000000,2018-01-31 16:50:23.000000,144,15.0,14.0,892.0,147.0,Approximate Nearest Neighbor Search for Sparse Data in Python!.,5.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n879,BLINK,facebookresearch/BLINK,,nlp,https://github.com/facebookresearch/BLINK,https://github.com/facebookresearch/BLINK,MIT,2019-09-25 21:27:44.000000,2021-10-28 02:39:25.000000,2021-04-02 03:03:34.000000,137,46.0,29.0,771.0,,Entity Linker solution.,16.0,11,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n880,spacy-dbpedia-spotlight,MartinoMensio/spacy-dbpedia-spotlight,,nlp,https://github.com/MartinoMensio/spacy-dbpedia-spotlight,https://github.com/MartinoMensio/spacy-dbpedia-spotlight,MIT,2020-04-29 19:35:04.000000,2021-04-12 13:38:53.000000,2021-04-12 13:38:47.000000,5,6.0,,47.0,13.0,A spaCy wrapper for DBpedia Spotlight.,1.0,11,False,2021-04-12 13:25:07.000000,0.2.1,6.0,spacy-dbpedia-spotlight,,,,['spacy'],,,https://pypi.org/project/spacy-dbpedia-spotlight,2021-04-09 13:21:45.000000,,229.0,229.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n881,LazyCluster,ml-tooling/lazycluster,,distributed-ml,https://github.com/ml-tooling/lazycluster,https://github.com/ml-tooling/lazycluster,Apache-2.0,2019-08-07 08:05:13.000000,2021-09-16 02:14:06.000000,2021-08-19 13:59:11.000000,8,,,43.0,,Distributed machine learning made simple.,2.0,11,False,2020-12-14 15:25:59.000000,0.2.4,5.0,lazycluster,,,,,7.0,7.0,https://pypi.org/project/lazycluster,2020-12-14 14:49:33.000000,,68.0,68.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n882,Mozart,aashrafh/Mozart,,ocr,https://github.com/aashrafh/Mozart,https://github.com/aashrafh/Mozart,Apache-2.0,2020-12-14 11:49:14.000000,2021-05-05 17:21:44.000000,2021-05-05 17:21:44.000000,47,3.0,6.0,344.0,,An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.,5.0,10,True,,,,,,,,['sklearn'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n883,Hypertunity,gdikov/hypertunity,,hyperopt,https://github.com/gdikov/hypertunity,https://github.com/gdikov/hypertunity,Apache-2.0,2019-06-02 12:04:55.000000,2020-01-26 23:14:49.000000,2020-01-26 22:53:29.000000,9,,2.0,120.0,64.0,A toolset for black-box hyperparameter optimisation.,2.0,10,False,2020-01-26 23:08:16.000000,1.0.1,7.0,hypertunity,,,,,2.0,2.0,https://pypi.org/project/hypertunity,2020-01-26 23:08:16.000000,,9.0,9.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n884,nylon,Palashio/nylon,,others,https://github.com/Palashio/nylon,https://github.com/Palashio/nylon,MIT,2021-06-04 17:33:49.000000,2021-07-29 20:34:04.000000,2021-07-23 19:37:10.000000,9,14.0,18.0,76.0,,\"An intelligent, flexible grammar of machine learning.\",3.0,10,False,2021-06-25 14:27:32.000000,0.0.7,8.0,nylon-ai,,,,,1.0,1.0,https://pypi.org/project/nylon-ai,2021-06-25 14:27:32.000000,,11.0,11.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n885,traintool,jrieke/traintool,,ml-experiments,https://github.com/jrieke/traintool,https://github.com/jrieke/traintool,Apache-2.0,2020-09-30 22:23:05.000000,2021-03-12 01:44:04.000000,2021-03-12 01:43:14.000000,1,,,9.0,122.0,Train off-the-shelf machine learning models in one line of code.,,9,False,2020-11-02 02:25:32.000000,0.0.3,3.0,traintool,,,,\"['pytorch', 'tensorflow', 'sklearn']\",,,https://pypi.org/project/traintool,2020-11-02 02:25:32.000000,,10.0,10.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n"
  },
  {
    "path": "history/2022-01-06_changes.md",
    "content": "## 📈 Trending Up\n\n_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._\n\n- <b><a href=\"https://github.com/chainer/chainer\">Chainer</a></b> (🥈32 ·  ⭐ 5.7K · 📈) - A flexible framework of neural networks for deep learning. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/OpenNMT/OpenNMT-py\">OpenNMT</a></b> (🥈29 ·  ⭐ 5.4K · 📈) - Open Source Neural Machine Translation in PyTorch. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/has2k1/plotnine\">plotnine</a></b> (🥈28 ·  ⭐ 2.9K · 📈) - A grammar of graphics for Python. <code><a href=\"http://bit.ly/2KucAZR\">❗️GPL-2.0</a></code>\n- <b><a href=\"https://github.com/keras-rl/keras-rl\">keras-rl</a></b> (🥈26 ·  ⭐ 5.2K · 💀) - Deep Reinforcement Learning for Keras. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/cjhutto/vaderSentiment\">vaderSentiment</a></b> (🥈26 ·  ⭐ 3.3K · 💤) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/pgmpy/pgmpy\">pgmpy</a></b> (🥈26 ·  ⭐ 2K · 📈) - Python Library for learning (Structure and Parameter), inference.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/qubvel/efficientnet\">efficientnet</a></b> (🥉25 ·  ⭐ 1.9K · 📈) - Implementation of EfficientNet model. Keras and.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/marcotcr/checklist\">checklist</a></b> (🥈24 ·  ⭐ 1.6K · 📈) - Beyond Accuracy: Behavioral Testing of NLP models with.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/Parsely/streamparse\">streamparse</a></b> (🥉24 ·  ⭐ 1.4K · 💀) - Run Python in Apache Storm topologies. Pythonic API, CLI.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/eliorc/node2vec\">Node2Vec</a></b> (🥈24 ·  ⭐ 830 · 📈) - Implementation of the node2vec algorithm. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n\n## 📉 Trending Down\n\n_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._\n\n- <b><a href=\"https://github.com/scipy/scipy\">scipy</a></b> (🥇38 ·  ⭐ 9K · 📉) - Ecosystem of open-source software for mathematics, science, and.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/matplotlib/matplotlib\">Matplotlib</a></b> (🥇37 ·  ⭐ 15K · 📉) - matplotlib: plotting with Python. <code><a href=\"http://bit.ly/35wkF7y\">Python-2.0</a></code>\n- <b><a href=\"https://github.com/rq/rq\">rq</a></b> (🥇33 ·  ⭐ 8.1K · 📉) - Simple job queues for Python. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/geopy/geopy\">geopy</a></b> (🥇31 ·  ⭐ 3.5K · 📉) - Geocoding library for Python. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/cleverhans-lab/cleverhans\">CleverHans</a></b> (🥇26 ·  ⭐ 5.4K · 📉) - An adversarial example library for constructing attacks,.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/scikit-learn-contrib/sklearn-pandas\">sklearn-pandas</a></b> (🥉26 ·  ⭐ 2.5K · 💤) - Pandas integration with sklearn. <code><a href=\"https://tldrlegal.com/search?q=Zlib\">❗️Zlib</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code> <code><img src=\"https://git.io/JLy1S\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/hmmlearn/hmmlearn\">hmmlearn</a></b> (🥈26 ·  ⭐ 2.4K · 📉) - Hidden Markov Models in Python, with scikit-learn like API. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/intel-analytics/BigDL\">BigDL</a></b> (🥉24 ·  ⭐ 3.8K · 📉) - Building Large-Scale AI Applications for Distributed Big Data. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/mozilla/DeepSpeech\">DeepSpeech</a></b> (🥉23 ·  ⭐ 18K · 📉) - DeepSpeech is an open source embedded (offline, on-.. <code><a href=\"http://bit.ly/3postzC\">MPL-2.0</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/fbdesignpro/sweetviz\">Sweetviz</a></b> (🥉19 ·  ⭐ 1.9K · 📉) - Visualize and compare datasets, target values and associations, with.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n\n"
  },
  {
    "path": "history/2022-01-09_changes.md",
    "content": "## 📈 Trending Up\n\n_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._\n\n- <b><a href=\"https://github.com/tensorflow/tensorflow\">Tensorflow</a></b> (🥇55 ·  ⭐ 160K · 📈) - An Open Source Machine Learning Framework for Everyone. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/numpy/numpy\">numpy</a></b> (🥇50 ·  ⭐ 19K · 📈) - The fundamental package for scientific computing with Python. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/scikit-learn/scikit-learn\">scikit-learn</a></b> (🥇49 ·  ⭐ 48K · 📈) - scikit-learn: machine learning in Python. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/matplotlib/matplotlib\">Matplotlib</a></b> (🥇49 ·  ⭐ 15K · 📈) - matplotlib: plotting with Python. <code><a href=\"http://bit.ly/35wkF7y\">Python-2.0</a></code>\n- <b><a href=\"https://github.com/scipy/scipy\">scipy</a></b> (🥇49 ·  ⭐ 9.1K · 📈) - Ecosystem of open-source software for mathematics, science, and.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/apache/airflow\">Airflow</a></b> (🥇45 ·  ⭐ 25K · 📈) - Platform to programmatically author, schedule, and monitor.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/keras-team/keras\">Keras</a></b> (🥇44 ·  ⭐ 54K · 📈) - Deep Learning for humans. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/statsmodels/statsmodels\">StatsModels</a></b> (🥇44 ·  ⭐ 7K · 📈) - Statsmodels: statistical modeling and econometrics in Python. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/google/jax\">jax</a></b> (🥈41 ·  ⭐ 16K · 📈) - Composable transformations of Python+NumPy programs: differentiate,.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/RasaHQ/rasa\">Rasa</a></b> (🥇40 ·  ⭐ 13K · 📈) - Open source machine learning framework to automate text- and.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n\n## 📉 Trending Down\n\n_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._\n\n- <b><a href=\"https://github.com/tensorflow/mesh\">Mesh</a></b> (🥉26 ·  ⭐ 1.2K · 📉) - Mesh TensorFlow: Model Parallelism Made Easier. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/trent-b/iterative-stratification\">iterative-stratification</a></b> (🥉21 ·  ⭐ 620 · 📉) - scikit-learn cross validators for iterative.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/shaypal5/skift\">skift</a></b> (🥉17 ·  ⭐ 220 · 📉) - scikit-learn wrappers for Python fastText. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/interpretml/interpret-text\">interpret-text</a></b> (🥉15 ·  ⭐ 290 · 📉) - A library that incorporates state-of-the-art explainers.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/firmai/atspy\">atspy</a></b> (🥉14 ·  ⭐ 400 · 📉) - AtsPy: Automated Time Series Models in Python (by @firmai). <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/electricbrainio/hypermax\">Hypermax</a></b> (🥉12 ·  ⭐ 99 · 💀) - Better, faster hyper-parameter optimization. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/firmai/deltapy\">deltapy</a></b> (🥉11 ·  ⭐ 400 · 📉) - DeltaPy - Tabular Data Augmentation (by @firmai). <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/petuum/autodist\">autodist</a></b> (🥉11 ·  ⭐ 110 · 💤) - Simple Distributed Deep Learning on TensorFlow. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/firmai/pandapy\">PandaPy</a></b> (🥉10 ·  ⭐ 490 · 📉) - PandaPy has the speed of NumPy and the usability of Pandas 10x to.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1S\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/MartinoMensio/spacy-dbpedia-spotlight\">spacy-dbpedia-spotlight</a></b> (🥉10 ·  ⭐ 48 · 💤) - A spaCy wrapper for DBpedia Spotlight. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code>spacy</code>\n\n"
  },
  {
    "path": "history/2022-01-13_changes.md",
    "content": "## 📈 Trending Up\n\n_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._\n\n- <b><a href=\"https://github.com/joblib/joblib\">joblib</a></b> (🥇37 ·  ⭐ 2.6K · 📈) - Computing with Python functions. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/imageio/imageio\">imageio</a></b> (🥇37 ·  ⭐ 980 · 📈) - Python library for reading and writing image data. <code><a href=\"http://bit.ly/3rqEWVr\">BSD-2</a></code>\n- <b><a href=\"https://github.com/pycaret/pycaret\">PyCaret</a></b> (🥇36 ·  ⭐ 4.8K · 📈) - An open-source, low-code machine learning library in Python. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/great-expectations/great_expectations\">Great Expectations</a></b> (🥈35 ·  ⭐ 5.9K · 📈) - Always know what to expect from your data. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/facebookresearch/faiss\">Faiss</a></b> (🥇34 ·  ⭐ 16K · 📈) - A library for efficient similarity search and clustering of dense vectors. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/JaidedAI/EasyOCR\">EasyOCR</a></b> (🥇33 ·  ⭐ 14K · 📈) - Ready-to-use OCR with 80+ supported languages and all popular.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/automl/auto-sklearn\">auto-sklearn</a></b> (🥇33 ·  ⭐ 6K · 📈) - Automated Machine Learning with scikit-learn. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/google/sentencepiece\">sentencepiece</a></b> (🥈33 ·  ⭐ 5.6K · 📈) - Unsupervised text tokenizer for Neural Network-based.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/OpenNMT/OpenNMT-py\">OpenNMT</a></b> (🥈33 ·  ⭐ 5.4K · 📈) - Open Source Neural Machine Translation in PyTorch. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/google/objax\">Objax</a></b> (🥉22 ·  ⭐ 670 · 📈) - Objax is a machine learning framework that provides an Object.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code>jax</code>\n\n## 📉 Trending Down\n\n_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._\n\n- <b><a href=\"https://github.com/apache/airflow\">Airflow</a></b> (🥇44 ·  ⭐ 25K · 📉) - Platform to programmatically author, schedule, and monitor.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/RasaHQ/rasa\">Rasa</a></b> (🥇39 ·  ⭐ 13K · 📉) - Open source machine learning framework to automate text- and.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/dbt-labs/dbt-core\">dbt</a></b> (🥈36 ·  ⭐ 4K · 📉) - dbt enables data analysts and engineers to transform their data using.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/tensorflow/hub\">tensorflow-hub</a></b> (🥈34 ·  ⭐ 3K · 📉) - A library for transfer learning by reusing parts of.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/scikit-learn-contrib/category_encoders\">category_encoders</a></b> (🥈33 ·  ⭐ 1.8K · 📉) - A library of sklearn compatible categorical variable.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/pytorch/audio\">torchaudio</a></b> (🥇32 ·  ⭐ 1.5K · 📉) - Data manipulation and transformation for audio signal.. <code><a href=\"http://bit.ly/3rqEWVr\">BSD-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/snowballstem/snowball\">snowballstemmer</a></b> (🥈32 ·  ⭐ 540 · 📉) - Snowball compiler and stemming algorithms. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/pydata/bottleneck\">Bottleneck</a></b> (🥈31 ·  ⭐ 690 · 💤) - Fast NumPy array functions written in C. <code><a href=\"http://bit.ly/3rqEWVr\">BSD-2</a></code>\n- <b><a href=\"https://github.com/olirice/flupy\">flupy</a></b> (🥉17 ·  ⭐ 170 · 📉) - Fluent data pipelines for python and your shell. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/nicolas-chaulet/torch-points3d\">Torch Points 3D</a></b> (🥉13 ·  ⭐ 1 · 📉) - Pytorch framework for doing deep learning on point.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n\n"
  },
  {
    "path": "history/2022-01-13_projects.csv",
    "content": ",name,github_id,resource,category,github_url,homepage,license,created_at,updated_at,last_commit_pushed_at,commit_count,recent_commit_count,fork_count,watchers_count,pr_count,open_issue_count,closed_issue_count,star_count,description,contributor_count,projectrank,show,latest_stable_release_published_at,latest_stable_release_number,release_count,pypi_id,conda_id,dockerhub_id,docs_url,labels,dependent_project_count,github_dependent_project_count,pypi_url,pypi_latest_release_published_at,pypi_dependent_project_count,pypi_monthly_downloads,monthly_downloads,conda_url,conda_latest_release_published_at,conda_total_downloads,dockerhub_url,dockerhub_latest_release_published_at,dockerhub_stars,dockerhub_pulls,projectrank_placing,github_release_downloads,helm_id,trending,npm_id,npm_url,npm_latest_release_published_at,npm_dependent_project_count,npm_monthly_downloads,conda_dependent_project_count,updated_github_id,brew_id,apt_id,yum_id,snap_id,maven_id,maven_url,maven_latest_release_published_at,maven_dependent_project_count,dnf_id,yay_id,bitbucket_id\n0,ANN Benchmarks,erikbern/ann-benchmarks,True,nn-search,https://github.com/erikbern/ann-benchmarks,https://github.com/erikbern/ann-benchmarks,MIT,2015-05-28 13:21:43.000000,2022-01-10 13:20:20.000000,2021-12-30 20:02:39.000000,1265.0,32.0,409,97.0,175.0,37.0,74.0,2719.0,Benchmarks of approximate nearest neighbor libraries in Python.,65.0,0,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n1,best-of-web-python - Web Scraping,ml-tooling/best-of-web-python,True,web-scraping,https://github.com/ml-tooling/best-of-web-python,https://github.com/ml-tooling/best-of-web-python#web-scraping--crawling,CC-BY-SA-4.0,2021-01-05 13:09:27.000000,2022-01-13 16:05:04.000000,2022-01-11 04:16:58.000000,100.0,18.0,91,49.0,65.0,4.0,2.0,1406.0,Collection of web-scraping and crawling libraries.,7.0,0,True,2022-01-06 18:53:44.000000,2022.01.06,29.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n2,best-of-python - Data 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13:50:09.680319,1983.0,63776784.0,1.0,,,,,,,,,,,,,,,,,,,,,\n5,pandas,pandas-dev/pandas,,data-containers,https://github.com/pandas-dev/pandas,https://github.com/pandas-dev/pandas,BSD-3-Clause,2010-08-24 01:37:33.000000,2022-01-13 15:06:56.000000,2022-01-13 13:47:47.000000,28701.0,748.0,13728,1108.0,23495.0,3404.0,18557.0,32299.0,\"Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R..\",2892.0,52,True,2021-12-12 14:30:49.000000,1.3.5,100.0,pandas,conda-forge/pandas,,,['pandas'],669269.0,612470.0,https://pypi.org/project/pandas,2022-01-06 11:01:13.000000,56799.0,68150312.0,68477511.0,https://anaconda.org/conda-forge/pandas,2022-01-07 11:48:05.436000,22156042.0,,,,,1.0,132007.0,,,,,,,,,,,,,,,,,,,,\n6,numpy,numpy/numpy,,data-containers,https://github.com/numpy/numpy,https://github.com/numpy/numpy,BSD-3-Clause,2010-09-13 23:02:39.000000,2022-01-13 14:48:32.000000,2022-01-13 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21:58:45.000000,6580.0,5714987.0,6008290.0,https://anaconda.org/pytorch/pytorch,2021-12-15 21:52:11.758000,14664181.0,,,,,1.0,1285.0,,,,,,,,,,,,,,,,,,,,\n8,scikit-learn,scikit-learn/scikit-learn,,ml-frameworks,https://github.com/scikit-learn/scikit-learn,https://github.com/scikit-learn/scikit-learn,BSD-3-Clause,2010-08-17 09:43:38.000000,2022-01-13 13:57:17.000000,2022-01-13 13:57:17.000000,27732.0,366.0,22434,2216.0,12700.0,2478.0,7399.0,48532.0,scikit-learn: machine learning in Python.,2446.0,49,True,2021-12-25 20:30:08.000000,1.0.2,60.0,scikit-learn,conda-forge/scikit-learn,,,['sklearn'],326394.0,301918.0,https://pypi.org/project/scikit-learn,2021-12-25 20:30:08.000000,24476.0,22551627.0,22711965.0,https://anaconda.org/conda-forge/scikit-learn,2021-12-26 01:02:52.879000,10902262.0,,,,,1.0,762.0,,,,,,,,,,,,,,,,,,,,\n9,Matplotlib,matplotlib/matplotlib,,data-viz,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,Python-2.0,2011-02-19 03:17:12.000000,2022-01-13 11:58:40.000000,2022-01-13 11:58:40.000000,41882.0,913.0,6167,573.0,13968.0,1738.0,6789.0,14870.0,matplotlib: plotting with Python.,1326.0,49,True,2021-12-11 08:22:08.000000,3.5.1,90.0,matplotlib,conda-forge/matplotlib,,,,537682.0,485244.0,https://pypi.org/project/matplotlib,2021-12-11 08:22:08.000000,52438.0,23734027.0,23875138.0,https://anaconda.org/conda-forge/matplotlib,2021-12-13 20:23:04.086000,10724448.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n10,scipy,scipy/scipy,,others,https://github.com/scipy/scipy,https://github.com/scipy/scipy,BSD-3-Clause,2011-03-09 18:52:03.000000,2022-01-13 14:11:25.000000,2022-01-12 21:35:43.000000,27071.0,599.0,4015,333.0,7576.0,1828.0,6342.0,9082.0,\"Ecosystem of open-source software for mathematics, science, and engineering.\",1219.0,49,True,2021-11-24 18:44:51.000000,1.7.3,74.0,scipy,conda-forge/scipy,,,,501455.0,445488.0,https://pypi.org/project/scipy,2021-12-21 17:28:09.000000,55967.0,29418793.0,29719888.0,https://anaconda.org/conda-forge/scipy,2021-11-25 04:00:02.224000,20182508.0,,,,,1.0,334995.0,,,,,,,,,,,,,,,,,,,,\n11,transformers,huggingface/transformers,,nlp,https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000000,2022-01-13 11:45:30.000000,2022-01-13 11:45:30.000000,8699.0,562.0,13220,788.0,6621.0,421.0,8139.0,56791.0,\"Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.\",1118.0,47,True,2021-12-22 19:34:56.000000,4.15.0,83.0,transformers,conda-forge/transformers,,,\"['pytorch', 'tensorflow']\",21588.0,20872.0,https://pypi.org/project/transformers,2021-12-22 19:12:19.000000,716.0,2804585.0,2807969.0,https://anaconda.org/conda-forge/transformers,2021-12-23 04:13:36.107000,90384.0,,,,,1.0,1423.0,,,,,,,,,,,,,,,,,,,,\n12,Celery,celery/celery,,data-pipelines,https://github.com/celery/celery,https://github.com/celery/celery,BSD-3-Clause,2009-04-24 11:31:24.000000,2022-01-13 14:28:39.000000,2022-01-13 14:28:38.000000,11821.0,90.0,4179,477.0,2468.0,494.0,4158.0,18504.0,Asynchronous task queue/job queue based on distributed message passing.,1173.0,46,True,2021-12-29 05:52:09.000000,5.2.3,187.0,celery,conda-forge/celery,,,,77906.0,63083.0,https://pypi.org/project/celery,2021-12-29 05:52:09.000000,14823.0,4180533.0,4191527.0,https://anaconda.org/conda-forge/celery,2022-01-09 15:08:53.733000,769588.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n13,nltk,nltk/nltk,,nlp,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58.000000,2022-01-11 09:45:52.000000,2022-01-11 09:45:46.000000,14200.0,55.0,2536,477.0,1331.0,205.0,1369.0,10358.0,Suite of libraries and programs for symbolic and statistical natural language processing for English.,412.0,45,True,2021-12-28 23:28:57.000000,3.6.7,49.0,nltk,conda-forge/nltk,,,,138203.0,126467.0,https://pypi.org/project/nltk,2021-12-28 23:28:57.000000,11736.0,9325921.0,9342781.0,https://anaconda.org/conda-forge/nltk,2021-12-29 03:25:44.981000,1095950.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n14,Pillow,python-pillow/Pillow,,image,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000000,2022-01-12 06:42:55.000000,2022-01-11 23:56:03.000000,12488.0,286.0,1777,211.0,3545.0,150.0,2251.0,9330.0,The friendly PIL fork (Python Imaging Library).,380.0,45,True,2022-01-02 22:19:51.000000,9.0.0,85.0,Pillow,conda-forge/pillow,,,,62061.0,,https://pypi.org/project/Pillow,2022-01-02 22:13:51.000000,62061.0,30525796.0,30702269.0,https://anaconda.org/conda-forge/pillow,2021-11-10 16:07:31.860000,12176681.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n15,SymPy,sympy/sympy,,others,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000000,2022-01-13 16:24:49.000000,2022-01-13 13:45:12.000000,49729.0,892.0,3508,288.0,11163.0,4242.0,7751.0,8767.0,A computer algebra system written in pure Python.,1122.0,45,True,2021-10-08 23:27:06.000000,sympy-1.9,40.0,sympy,conda-forge/sympy,,,,42481.0,38434.0,https://pypi.org/project/sympy,2021-10-08 23:29:29.000000,4047.0,1800871.0,1832162.0,https://anaconda.org/conda-forge/sympy,2021-11-06 22:30:34.086000,1833327.0,,,,,1.0,441809.0,,,,,,,,,,,,,,,,,,,,\n16,Keras,keras-team/keras,,ml-frameworks,https://github.com/keras-team/keras,https://github.com/keras-team/keras,Apache-2.0,2015-03-28 00:35:42.000000,2022-01-13 03:27:27.000000,2022-01-12 22:02:29.000000,6354.0,243.0,18898,1988.0,4850.0,247.0,10805.0,53668.0,Deep Learning for humans.,1016.0,44,True,2021-11-03 16:24:54.000000,2.7.0,59.0,keras,conda-forge/keras,,https://keras.io,['tensorflow'],208.0,,https://pypi.org/project/keras,2021-12-21 23:41:49.000000,208.0,6922517.0,6953277.0,https://anaconda.org/conda-forge/keras,2021-11-25 20:30:37.739000,1999415.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n17,Airflow,apache/airflow,,data-pipelines,https://github.com/apache/airflow,https://github.com/apache/airflow,Apache-2.0,2015-04-13 18:04:58.000000,2022-01-13 14:42:54.000000,2022-01-13 10:50:04.000000,14741.0,881.0,9846,730.0,15009.0,909.0,3943.0,24682.0,\"Platform to programmatically author, schedule, and monitor workflows.\",2228.0,44,True,2022-01-10 18:26:40.000000,helm-chart/1.4.0,100.0,apache-airflow,conda-forge/airflow,apache/airflow,,,437.0,,https://pypi.org/project/apache-airflow,2021-12-21 16:23:13.000000,437.0,3533223.0,4272335.0,https://anaconda.org/conda-forge/airflow,2021-12-22 16:00:13.998000,523395.0,https://hub.docker.com/r/apache/airflow,2021-12-21 23:47:08.459338,311.0,58866381.0,1.0,232673.0,stable/airflow,-1.0,,,,,,,,,,,,,,,,,,\n18,spaCy,explosion/spaCy,,nlp,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000000,2022-01-13 13:32:29.000000,2022-01-13 11:25:06.000000,15225.0,138.0,3654,566.0,2862.0,102.0,4898.0,22164.0,Industrial-strength Natural Language Processing (NLP) in Python.,645.0,44,True,2021-12-07 16:30:56.000000,3.2.1,189.0,spacy,conda-forge/spacy,,,,35881.0,33675.0,https://pypi.org/project/spacy,2021-12-15 15:54:05.638000,2206.0,4009691.0,4052527.0,https://anaconda.org/conda-forge/spacy,2021-12-14 12:41:39.668000,2524475.0,,,,,1.0,3110.0,,,,,,,,,,,,,,,,,,,,\n19,XGBoost,dmlc/xgboost,,ml-frameworks,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000000,2022-01-13 13:55:15.000000,2022-01-13 13:53:06.000000,5612.0,122.0,8246,940.0,3306.0,308.0,3993.0,22091.0,\"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..\",545.0,44,True,2021-11-24 19:51:13.000000,1.5.1,60.0,xgboost,conda-forge/xgboost,,https://xgboost.readthedocs.io/en/latest/,,27072.0,25813.0,https://pypi.org/project/xgboost,2021-11-24 19:51:13.000000,1259.0,8023346.0,8061347.0,https://anaconda.org/conda-forge/xgboost,2021-11-20 17:37:18.728000,2201888.0,,,,,1.0,3619.0,,,,,,,,,,,,,,,,,,,,\n20,networkx,networkx/networkx,,graph,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44.000000,2022-01-13 06:54:23.000000,2022-01-12 14:57:47.000000,6664.0,56.0,2461,277.0,2433.0,331.0,2454.0,10152.0,Network Analysis in Python.,562.0,44,True,2021-09-09 22:09:39.000000,2.6.3,70.0,networkx,conda-forge/networkx,,,,108077.0,95032.0,https://pypi.org/project/networkx,2021-12-15 13:42:18.312000,13045.0,14100926.0,14184780.0,https://anaconda.org/conda-forge/networkx,2021-10-26 12:59:30.009000,5282804.0,,,,,1.0,57.0,,,,,,,,,,,,,,,,,,,,\n21,StatsModels,statsmodels/statsmodels,,ml-frameworks,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000000,2022-01-13 13:32:46.000000,2022-01-13 04:17:36.000000,14414.0,223.0,2372,259.0,3436.0,2242.0,2470.0,6994.0,Statsmodels: statistical modeling and econometrics in Python.,351.0,44,True,2021-11-12 23:27:25.000000,0.13.1,29.0,statsmodels,conda-forge/statsmodels,,,,60373.0,55943.0,https://pypi.org/project/statsmodels,2021-12-15 13:56:38.577000,4430.0,6828933.0,6910514.0,https://anaconda.org/conda-forge/statsmodels,2021-11-13 01:23:06.115000,5465942.0,,,,,1.0,26.0,,,,,,,,,,,,,,,,,,,,\n22,scikit-image,scikit-image/scikit-image,,image,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,BSD-2-Clause,2011-07-07 22:07:20.000000,2022-01-13 12:04:19.000000,2022-01-11 19:09:50.000000,13015.0,124.0,1929,184.0,3627.0,314.0,2035.0,4715.0,Image processing in Python.,540.0,44,True,2021-12-15 17:06:01.000000,0.19.1,43.0,scikit-image,conda-forge/scikit-image,,,,99447.0,90438.0,https://pypi.org/project/scikit-image,2021-12-15 17:04:53.000000,9009.0,4923137.0,4968701.0,https://anaconda.org/conda-forge/scikit-image,2021-12-17 22:08:09.599000,3098372.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n23,Ray,ray-project/ray,,distributed-ml,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000000,2022-01-13 13:16:34.000000,2022-01-13 10:31:22.000000,10926.0,1054.0,3181,416.0,12496.0,2220.0,6944.0,18807.0,\"An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged..\",612.0,43,True,2022-01-11 19:46:09.000000,ray-1.9.2,64.0,ray,,,,,3922.0,3693.0,https://pypi.org/project/ray,2022-01-11 23:20:09.000000,229.0,616790.0,616790.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n24,Bokeh,bokeh/bokeh,,data-viz,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000000,2022-01-13 10:45:01.000000,2022-01-12 21:43:16.000000,19465.0,133.0,3859,460.0,5071.0,705.0,6115.0,15892.0,\"Interactive Data Visualization in the browser, from Python.\",593.0,43,True,2021-11-22 17:49:14.000000,2.4.2,117.0,bokeh,conda-forge/bokeh,,,,46657.0,43188.0,https://pypi.org/project/bokeh,2022-01-06 19:58:15.000000,3469.0,1889375.0,2000312.0,https://anaconda.org/conda-forge/bokeh,2021-11-22 21:24:20.205000,6323440.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n25,dask,dask/dask,,distributed-ml,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000000,2022-01-13 15:21:59.000000,2022-01-13 15:21:59.000000,6911.0,120.0,1406,230.0,4358.0,752.0,3389.0,9390.0,Parallel computing with task scheduling.,497.0,43,True,2021-12-10 19:50:17.000000,2021.12.0,133.0,dask,conda-forge/dask,,,,35464.0,32933.0,https://pypi.org/project/dask,2021-12-10 19:50:17.000000,2531.0,4526067.0,4596853.0,https://anaconda.org/conda-forge/dask,2021-12-11 02:29:38.463000,4813462.0,,,,,1.0,,stable/dask,,,,,,,,,,,,,,,,,,,\n26,Arrow,apache/arrow,,data-containers,https://github.com/apache/arrow,https://github.com/apache/arrow,Apache-2.0,2016-02-17 08:00:23.000000,2022-01-13 15:05:15.000000,2022-01-13 13:40:33.000000,10714.0,577.0,2163,332.0,11434.0,199.0,692.0,8938.0,Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing.,789.0,43,True,2021-10-26 15:00:11.000000,6.0.0,35.0,pyarrow,conda-forge/arrow,,,,1385.0,61.0,https://pypi.org/project/pyarrow,2021-11-18 03:54:39.000000,1324.0,33483910.0,33496515.0,https://anaconda.org/conda-forge/arrow,2021-10-26 15:18:02.635000,857165.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n27,PySpark,apache/spark,,ml-frameworks,https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08.000000,2022-01-13 14:00:58.000000,2022-01-13 13:35:17.000000,32132.0,697.0,24892,2089.0,35168.0,244.0,,31806.0,Apache Spark Python API.,2601.0,42,True,2021-10-18 08:17:19.000000,3.2.0,27.0,pyspark,conda-forge/pyspark,,,['spark'],752.0,,https://pypi.org/project/pyspark,2021-10-18 08:17:19.000000,752.0,15024601.0,15049028.0,https://anaconda.org/conda-forge/pyspark,2021-10-18 11:47:59.356000,1416806.0,,,,,2.0,,stable/spark,,,,,,,,,,,,,,,,,,,\n28,OpenAI Gym,openai/gym,,reinforcement-learning,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16.000000,2022-01-13 07:02:51.000000,2022-01-11 17:12:05.000000,1464.0,52.0,7337,990.0,1098.0,118.0,1363.0,26183.0,A toolkit for developing and comparing reinforcement learning algorithms.,334.0,42,True,2021-10-06 22:04:25.000000,0.21.0,96.0,gym,,,,,27959.0,25617.0,https://pypi.org/project/gym,2021-10-06 22:04:25.000000,2342.0,968078.0,968078.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n29,pytorch-lightning,PyTorchLightning/pytorch-lightning,,ml-frameworks,https://github.com/PyTorchLightning/pytorch-lightning,https://github.com/PyTorchLightning/pytorch-lightning,Apache-2.0,2019-03-31 00:45:57.000000,2022-01-13 13:53:18.000000,2022-01-13 13:53:17.000000,6391.0,589.0,2078,220.0,5470.0,461.0,4040.0,16910.0,\"The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.\",599.0,42,True,2022-01-05 15:35:04.000000,1.5.8,201.0,pytorch-lightning,conda-forge/pytorch-lightning,,,['pytorch'],6648.0,6356.0,https://pypi.org/project/pytorch-lightning,2022-01-05 15:35:04.000000,292.0,849748.0,870321.0,https://anaconda.org/conda-forge/pytorch-lightning,2022-01-05 22:37:03.161000,387724.0,,,,,2.0,5026.0,,,,,,,,,,,,,,,,,,,,\n30,LightGBM,microsoft/LightGBM,,ml-frameworks,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000000,2022-01-13 03:30:49.000000,2022-01-09 13:58:00.000000,2851.0,139.0,3456,443.0,2425.0,166.0,2368.0,13367.0,\"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..\",249.0,42,True,2022-01-07 15:20:18.000000,3.3.2,28.0,lightgbm,conda-forge/lightgbm,,,,11291.0,10717.0,https://pypi.org/project/lightgbm,2022-01-07 15:20:18.000000,574.0,10127637.0,10145803.0,https://anaconda.org/conda-forge/lightgbm,2022-01-08 00:29:45.463000,854088.0,,,,,2.0,133982.0,,,,,,,,,,,,,,,,,,,,\n31,pydeck,visgl/deck.gl,,geospatial-data,https://github.com/visgl/deck.gl,https://github.com/visgl/deck.gl,MIT,2015-12-15 08:38:29.000000,2022-01-13 14:53:03.000000,2022-01-13 11:37:02.000000,3899.0,90.0,1702,1759.0,3667.0,131.0,2203.0,9368.0,WebGL2 powered visualization framework.,187.0,42,True,2021-12-09 17:45:11.000000,8.6.5,509.0,pydeck,conda-forge/pydeck,,,['jupyter'],3843.0,3443.0,https://pypi.org/project/pydeck,2021-10-25 17:38:40.000000,15.0,623851.0,826294.0,https://anaconda.org/conda-forge/pydeck,2021-10-26 00:42:05.329000,65219.0,,,,,1.0,,,,deck.gl,https://www.npmjs.com/package/deck.gl,2021-12-30 09:39:26.744000,385.0,199608.0,,,,,,,,,,,,,\n32,Seaborn,mwaskom/seaborn,,data-viz,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000000,2022-01-13 01:38:43.000000,2022-01-02 13:33:23.000000,2813.0,7.0,1489,245.0,770.0,97.0,1853.0,9061.0,Statistical data visualization in Python.,162.0,42,True,2021-08-16 00:42:18.000000,0.11.2,25.0,seaborn,conda-forge/seaborn,,,,142653.0,133811.0,https://pypi.org/project/seaborn,2021-08-16 00:42:18.000000,8842.0,5248250.0,5297937.0,https://anaconda.org/conda-forge/seaborn,2021-08-16 06:42:17.619000,3229534.0,,,,,1.0,209.0,,,,,,,,,,,,,,,,,,,,\n33,Tensorboard,tensorflow/tensorboard,,ml-experiments,https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000000,2022-01-13 12:10:02.000000,2022-01-13 12:10:02.000000,4908.0,82.0,1463,190.0,3906.0,554.0,1069.0,5747.0,TensorFlows Visualization Toolkit.,275.0,42,True,2021-10-13 16:17:43.000000,2.7.0,39.0,tensorboard,conda-forge/tensorboard,,,['tensorflow'],93196.0,90925.0,https://pypi.org/project/tensorboard,2021-10-13 16:17:43.000000,2271.0,10905470.0,10959700.0,https://anaconda.org/conda-forge/tensorboard,2021-11-10 21:16:52.072000,2711513.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n34,PaddlePaddle,PaddlePaddle/Paddle,,ml-frameworks,https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000000,2022-01-13 13:49:08.000000,2022-01-13 11:52:33.000000,33526.0,1236.0,4222,733.0,24806.0,2777.0,12020.0,17450.0,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,686.0,41,True,2021-12-08 05:04:30.000000,2.2.1,51.0,paddlepaddle,,,,['paddle'],129.0,88.0,https://pypi.org/project/paddlepaddle,2021-12-02 06:01:39.000000,41.0,97420.0,97655.0,,,,,,,,2.0,15307.0,,,,,,,,,,,,,,,,,,,,\n35,jax,google/jax,,ml-frameworks,https://github.com/google/jax,https://github.com/google/jax,Apache-2.0,2018-10-25 21:25:02.000000,2022-01-13 13:52:27.000000,2022-01-13 03:48:04.000000,10176.0,738.0,1420,254.0,5560.0,928.0,2020.0,15925.0,\"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.\",354.0,41,True,2021-12-08 19:21:57.000000,0.2.26,105.0,jax,conda-forge/jaxlib,,,,3463.0,3227.0,https://pypi.org/project/jax,2021-12-08 19:21:57.000000,236.0,302000.0,310680.0,https://anaconda.org/conda-forge/jaxlib,2021-12-10 12:52:23.006000,260413.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n36,gensim,RaRe-Technologies/gensim,,nlp,https://github.com/RaRe-Technologies/gensim,https://github.com/RaRe-Technologies/gensim,LGPL-2.1,2011-02-10 07:43:04.000000,2022-01-08 13:45:56.000000,2021-12-24 02:18:28.000000,4293.0,16.0,4094,431.0,1575.0,380.0,1362.0,12824.0,Topic Modelling for Humans.,417.0,41,True,2021-09-18 14:21:47.000000,4.1.2,89.0,gensim,conda-forge/gensim,,,,32440.0,29619.0,https://pypi.org/project/gensim,2021-09-17 00:24:57.000000,2821.0,10056602.0,10071293.0,https://anaconda.org/conda-forge/gensim,2021-11-09 13:39:50.380000,761539.0,,,,,1.0,3503.0,,,,,,,,,,,,,,,,,,,,\n37,Plotly,plotly/plotly.py,,data-viz,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000000,2022-01-13 03:43:45.000000,2021-12-21 03:49:19.000000,5375.0,121.0,2078,268.0,1295.0,1036.0,1160.0,10809.0,The interactive graphing library for Python (includes Plotly Express).,191.0,41,True,2021-12-21 03:50:17.000000,5.5.0,276.0,plotly,conda-forge/plotly,,,,3787.0,9.0,https://pypi.org/project/plotly,2021-12-21 03:47:21.000000,3774.0,6299913.0,6377538.0,https://anaconda.org/conda-forge/plotly,2021-12-21 05:39:52.763000,2154561.0,,,,,1.0,,,,plotlywidget,https://www.npmjs.com/package/plotlywidget,2021-01-12 16:09:46.133000,4.0,44478.0,,,,,,,,,,,,,\n38,torchvision,pytorch/vision,,image,https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000000,2022-01-13 12:50:15.000000,2022-01-13 08:48:13.000000,2368.0,302.0,5438,361.0,3160.0,584.0,1555.0,10689.0,\"Datasets, Transforms and Models specific to Computer Vision.\",450.0,41,True,2021-12-16 10:07:38.000000,0.11.2,28.0,torchvision,conda-forge/torchvision,,,['pytorch'],3401.0,,https://pypi.org/project/torchvision,2021-12-15 22:24:28.000000,3401.0,2875968.0,2879252.0,https://anaconda.org/conda-forge/torchvision,2021-09-27 23:35:13.750000,160948.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n39,MXNet,apache/incubator-mxnet,,ml-frameworks,https://github.com/apache/incubator-mxnet,https://github.com/apache/incubator-mxnet,Apache-2.0,2015-04-30 16:21:15.000000,2022-01-13 10:38:55.000000,2022-01-13 10:38:55.000000,11767.0,80.0,6882,1099.0,10884.0,1953.0,7695.0,19818.0,\"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..\",971.0,40,True,2021-12-18 21:55:54.000000,1.9.0,981.0,mxnet,mxnet,,,['mxnet'],286.0,,https://pypi.org/project/mxnet,2021-12-18 21:55:54.000000,281.0,254845.0,255344.0,https://anaconda.org/anaconda/mxnet,2020-02-29 00:58:31.007000,6889.0,,,,,2.0,24454.0,,,,,,,,5.0,,,,,,,,,,,,\n40,onnx,onnx/onnx,,model-serialisation,https://github.com/onnx/onnx,https://github.com/onnx/onnx,Apache-2.0,2017-09-07 04:53:45.000000,2022-01-13 07:31:27.000000,2022-01-13 00:46:31.000000,1872.0,35.0,2276,431.0,2106.0,481.0,1324.0,11930.0,Open standard for machine learning interoperability.,218.0,40,True,2021-10-26 19:14:09.000000,1.10.2,24.0,onnx,conda-forge/onnx,,,,5556.0,5238.0,https://pypi.org/project/onnx,2021-10-26 19:14:09.000000,318.0,1199202.0,1206302.0,https://anaconda.org/conda-forge/onnx,2021-12-14 07:56:56.053000,338028.0,,,,,1.0,17355.0,,,,,,,,,,,,,,,,,,,,\n41,mlflow,mlflow/mlflow,,ml-experiments,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000000,2022-01-13 13:08:24.000000,2022-01-13 02:07:10.000000,2443.0,184.0,2413,276.0,3255.0,936.0,1187.0,11050.0,Open source platform for the machine learning lifecycle.,348.0,40,True,2021-11-30 01:37:44.000000,1.22.0,52.0,mlflow,conda-forge/mlflow,,,,260.0,,https://pypi.org/project/mlflow,2021-11-30 00:54:31.000000,260.0,14624963.0,14639050.0,https://anaconda.org/conda-forge/mlflow,2021-12-08 06:29:58.220000,464902.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n42,Catboost,catboost/catboost,,ml-frameworks,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000000,2022-01-13 13:18:54.000000,2022-01-13 13:18:52.000000,20485.0,1859.0,952,190.0,277.0,343.0,1366.0,6297.0,\"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..\",938.0,40,True,2021-11-04 04:25:01.000000,1.0.3,100.0,catboost,conda-forge/catboost,,,,194.0,,https://pypi.org/project/catboost,2021-11-04 02:36:37.000000,194.0,3117278.0,3139022.0,https://anaconda.org/conda-forge/catboost,2021-11-09 18:53:14.338000,896447.0,,,,,2.0,71336.0,,,,,,,,,,,,,,,,,,,,\n43,h5py,h5py/h5py,,data-containers,https://github.com/h5py/h5py,https://github.com/h5py/h5py,BSD-3-Clause,2012-09-21 00:40:02.000000,2022-01-10 21:19:13.000000,2022-01-08 18:29:28.000000,3867.0,85.0,431,51.0,766.0,221.0,1059.0,1658.0,HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.,174.0,40,True,2021-11-16 13:35:22.000000,3.6.0,31.0,h5py,conda-forge/h5py,,,,158975.0,145445.0,https://pypi.org/project/h5py,2021-11-16 13:35:22.000000,13530.0,10577098.0,10675195.0,https://anaconda.org/conda-forge/h5py,2021-11-26 22:25:41.747000,6864863.0,,,,,2.0,1657.0,,,,,,,,,,,,,,,,,,,,\n44,dask.distributed,dask/distributed,,distributed-ml,https://github.com/dask/distributed,https://github.com/dask/distributed,BSD-3-Clause,2015-09-13 18:42:29.000000,2022-01-13 15:23:01.000000,2022-01-13 12:59:56.000000,4288.0,102.0,581,66.0,3231.0,881.0,1667.0,1287.0,A distributed task scheduler for Dask.,258.0,40,True,2021-12-10 19:50:18.000000,2021.12.0,164.0,distributed,conda-forge/distributed,,,,22806.0,21661.0,https://pypi.org/project/distributed,2021-12-10 19:50:18.000000,1145.0,4427955.0,4516950.0,https://anaconda.org/conda-forge/distributed,2021-12-11 01:03:02.700000,6051719.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n45,shap,slundberg/shap,,interpretability,https://github.com/slundberg/shap,https://github.com/slundberg/shap,MIT,2016-11-22 19:17:08.000000,2022-01-12 15:30:27.000000,2021-12-04 17:24:08.000000,2011.0,7.0,2220,246.0,414.0,1237.0,567.0,15100.0,A game theoretic approach to explain the output of any machine learning model.,162.0,39,True,2021-10-20 18:36:57.000000,0.40.0,94.0,shap,conda-forge/shap,,,,4456.0,4235.0,https://pypi.org/project/shap,2021-10-20 19:13:31.000000,221.0,4668169.0,4686354.0,https://anaconda.org/conda-forge/shap,2021-10-24 14:05:16.285000,745590.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n46,Rasa,RasaHQ/rasa,,nlp,https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49.000000,2022-01-13 14:05:22.000000,2022-01-12 14:29:35.000000,29664.0,771.0,3851,339.0,4295.0,979.0,5502.0,13362.0,\"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..\",520.0,39,True,2022-01-07 17:49:17.000000,2.8.21,238.0,rasa,,,,['tensorflow'],56.0,,https://pypi.org/project/rasa,2021-12-23 16:13:38.000000,56.0,214647.0,214647.0,,,,,,,,1.0,,,-1.0,,,,,,,,,,,,,,,,,,\n47,Altair,altair-viz/altair,,data-viz,https://github.com/altair-viz/altair,https://github.com/altair-viz/altair,BSD-3-Clause,2015-09-19 03:14:04.000000,2022-01-11 02:44:36.000000,2021-12-29 13:37:47.000000,3109.0,34.0,630,151.0,959.0,240.0,1351.0,7204.0,Declarative statistical visualization library for Python.,133.0,39,True,2021-12-29 13:30:58.000000,4.2.0,28.0,altair,conda-forge/altair,,,,20992.0,20648.0,https://pypi.org/project/altair,2021-12-29 13:25:37.000000,344.0,3666351.0,3682299.0,https://anaconda.org/conda-forge/altair,2021-12-29 17:47:26.885000,1052602.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n48,PyMC3,pymc-devs/pymc3,,probabilistics,https://github.com/pymc-devs/pymc,https://github.com/pymc-devs/pymc,Apache-2.0,2009-05-05 09:43:50.000000,2022-01-13 16:00:49.000000,2022-01-13 12:30:02.000000,8329.0,197.0,1491,231.0,2825.0,196.0,2301.0,6274.0,Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara.,354.0,39,True,2021-08-24 01:17:21.000000,3.11.4,35.0,pymc3,conda-forge/pymc3,,,,802.0,575.0,https://pypi.org/project/pymc3,2021-08-24 01:17:21.000000,227.0,241216.0,247158.0,https://anaconda.org/conda-forge/pymc3,2021-10-12 16:32:39.553000,373286.0,,,,,1.0,1480.0,,,,,,,,,pymc-devs/pymc,,,,,,,,,,,\n49,CuPy,cupy/cupy,,gpu-utilities,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000000,2022-01-13 12:33:46.000000,2022-01-13 12:33:45.000000,24241.0,881.0,534,120.0,4717.0,360.0,1276.0,5683.0,NumPy & SciPy for GPU.,293.0,39,True,2021-12-09 06:46:26.000000,10.0.0,105.0,cupy,conda-forge/cupy,cupy/cupy,,,1053.0,908.0,https://pypi.org/project/cupy,2021-12-09 03:55:11.000000,145.0,82468.0,125041.0,https://anaconda.org/conda-forge/cupy,2021-12-16 20:36:38.854000,1114058.0,https://hub.docker.com/r/cupy/cupy,2021-12-09 06:50:02.321705,7.0,53838.0,1.0,24013.0,,,,,,,,,,,,,,,,,,,,\n50,Beam,apache/beam,,data-pipelines,https://github.com/apache/beam,https://github.com/apache/beam,Apache-2.0,2016-02-02 08:00:06.000000,2022-01-13 15:42:51.000000,2022-01-13 01:47:26.000000,34207.0,936.0,3332,252.0,16488.0,209.0,,5215.0,\"Unified programming model to define and execute data processing pipelines, including ETL, batch and stream processing.\",1196.0,39,True,2021-12-30 02:00:52.000000,2.35.0,51.0,apache-beam,,,,,142.0,,https://pypi.org/project/apache-beam,2021-12-30 00:07:35.000000,142.0,22230750.0,22230750.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n51,Streamlit,streamlit/streamlit,,others,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000000,2022-01-13 06:35:08.000000,2022-01-13 01:18:38.000000,4534.0,116.0,1552,254.0,2027.0,553.0,1671.0,17297.0,Streamlit The fastest way to build data apps in Python.,133.0,38,True,2021-12-28 16:53:17.000000,1.3.1,146.0,streamlit,,,,,485.0,203.0,https://pypi.org/project/streamlit,2021-12-28 16:53:17.000000,282.0,643855.0,643855.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n52,dash,plotly/dash,,data-viz,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000000,2022-01-12 22:52:58.000000,2022-01-12 15:44:58.000000,5620.0,85.0,1608,397.0,647.0,553.0,618.0,15734.0,\"Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.\",104.0,38,True,2021-09-04 01:00:46.000000,2.0.0,143.0,dash,conda-forge/dash,,,,1274.0,166.0,https://pypi.org/project/dash,2021-09-04 00:32:40.000000,1108.0,1140139.0,1147896.0,https://anaconda.org/conda-forge/dash,2021-09-21 14:47:05.413000,341322.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n53,luigi,spotify/luigi,,data-pipelines,https://github.com/spotify/luigi,https://github.com/spotify/luigi,Apache-2.0,2012-09-20 15:06:38.000000,2022-01-11 02:46:18.000000,2022-01-11 02:45:55.000000,4021.0,15.0,2314,489.0,2206.0,103.0,864.0,15302.0,\"Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution,..\",576.0,38,True,2021-11-06 14:59:15.000000,3.0.3,73.0,luigi,luigi,,,,2022.0,1623.0,https://pypi.org/project/luigi,2020-09-23 11:57:12.000000,397.0,569871.0,569995.0,https://anaconda.org/anaconda/luigi,2021-04-17 18:49:18.708000,8849.0,,,,,1.0,,stable/luigi,,,,,,,2.0,,,,,,,,,,,,\n54,flair,flairNLP/flair,,nlp,https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,MIT,2018-06-11 11:04:18.000000,2022-01-12 12:06:52.000000,2022-01-05 13:21:18.000000,4144.0,316.0,1769,201.0,865.0,88.0,1651.0,11136.0,A very simple framework for state-of-the-art Natural Language Processing (NLP).,215.0,38,True,2021-11-18 08:33:59.000000,0.10,23.0,flair,,,,['pytorch'],1176.0,1110.0,https://pypi.org/project/flair,2021-11-18 08:22:02.000000,66.0,58487.0,58487.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n55,dlib,davisking/dlib,,ml-frameworks,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000000,2022-01-13 12:34:25.000000,2022-01-10 11:02:20.000000,7998.0,23.0,2987,481.0,504.0,36.0,1940.0,10868.0,A toolkit for making real world machine learning and data analysis applications in C++.,171.0,38,False,2021-08-14 14:21:18.000000,19.22.1,29.0,dlib,conda-forge/dlib,,,,13441.0,12679.0,https://pypi.org/project/dlib,2021-08-14 14:21:18.000000,762.0,112191.0,118453.0,https://anaconda.org/conda-forge/dlib,2021-04-03 09:47:47.788000,380710.0,,,,,2.0,24848.0,,,,,,,,,,,,,,,,,,,,\n56,Milvus,milvus-io/milvus,,nn-search,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000000,2022-01-13 14:32:17.000000,2022-01-13 13:49:35.000000,14020.0,4198.0,1370,189.0,10455.0,237.0,4105.0,9214.0,An open-source vector database for embedding similarity search and AI applications.,180.0,38,True,2021-06-09 09:16:17.000000,1.1.2,100.0,pymilvus,,milvusdb/milvus,,,15.0,,https://pypi.org/project/pymilvus,2021-12-31 11:23:42.000000,15.0,23849.0,51266.0,,,,https://hub.docker.com/r/milvusdb/milvus,2021-12-31 11:09:41.885641,17.0,723310.0,1.0,6341.0,,,,,,,,,,,,,,,,,,,,\n57,Optuna,optuna/optuna,,hyperopt,https://github.com/optuna/optuna,https://github.com/optuna/optuna,MIT,2018-02-21 06:12:56.000000,2022-01-13 14:06:10.000000,2022-01-12 09:22:47.000000,11248.0,577.0,635,129.0,2196.0,142.0,911.0,5792.0,A hyperparameter optimization framework.,172.0,38,True,2021-10-04 06:37:16.000000,2.10.0,42.0,optuna,conda-forge/optuna,,,,2651.0,2489.0,https://pypi.org/project/optuna,2021-12-06 06:45:58.000000,162.0,644332.0,646257.0,https://anaconda.org/conda-forge/optuna,2021-10-04 08:58:48.864000,50069.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n58,Shapely,Toblerity/Shapely,,geospatial-data,https://github.com/shapely/shapely,https://github.com/shapely/shapely,BSD-3-Clause,2011-12-31 19:43:11.000000,2022-01-13 13:19:09.000000,2022-01-13 13:19:09.000000,1988.0,82.0,440,88.0,469.0,146.0,670.0,2594.0,Manipulation and analysis of geometric objects.,131.0,38,True,2021-10-25 16:52:16.000000,1.8.0,105.0,shapely,conda-forge/shapely,,,,28922.0,25287.0,https://pypi.org/project/shapely,2021-10-25 16:26:07.000000,3635.0,5506407.0,5547756.0,https://anaconda.org/conda-forge/shapely,2021-11-20 09:37:12.537000,3101205.0,,,,,1.0,,,,,,,,,,shapely/shapely,,,,,,,,,,,\n59,xarray,pydata/xarray,,data-containers,https://github.com/pydata/xarray,https://github.com/pydata/xarray,Apache-2.0,2013-09-30 17:21:10.000000,2022-01-13 06:26:26.000000,2022-01-13 00:02:03.000000,3976.0,110.0,754,106.0,2773.0,935.0,2216.0,2373.0,N-D labeled arrays and datasets in Python.,356.0,38,True,2021-12-10 02:09:26.000000,0.20.2,63.0,xarray,conda-forge/xarray,,,,10014.0,8741.0,https://pypi.org/project/xarray,2021-12-10 02:09:26.000000,1273.0,871451.0,934987.0,https://anaconda.org/conda-forge/xarray,2021-12-10 08:48:43.752000,4447521.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n60,Fastai,fastai/fastai,,ml-frameworks,https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000000,2022-01-07 11:44:45.000000,2021-11-29 01:25:55.000000,1851.0,22.0,7126,628.0,2003.0,96.0,1447.0,21814.0,The fastai deep learning library.,605.0,37,True,2021-10-23 07:16:08.000000,2.5.3,126.0,fastai,,,,['pytorch'],288.0,,https://pypi.org/project/fastai,2021-10-23 07:16:08.000000,288.0,185526.0,185526.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n61,Jina,jina-ai/jina,,ml-frameworks,https://github.com/jina-ai/jina,https://github.com/jina-ai/jina,Apache-2.0,2020-02-13 17:04:44.000000,2022-01-13 13:57:33.000000,2022-01-13 11:23:14.000000,6931.0,471.0,1765,166.0,2874.0,79.0,1193.0,13181.0,Cloud-native neural search framework for kind of data.,135.0,37,True,2022-01-04 08:43:20.000000,2.6.4,1546.0,jina,,jinaai/jina,,,209.0,209.0,https://pypi.org/project/jina,2022-01-11 13:03:56.000000,,13189.0,57035.0,,,,https://hub.docker.com/r/jinaai/jina,2022-01-11 13:34:36.126016,6.0,1008465.0,2.0,,,,,,,,,,,,,,,,,,,,,\n62,AllenNLP,allenai/allennlp,,nlp,https://github.com/allenai/allennlp,https://github.com/allenai/allennlp,Apache-2.0,2017-05-15 15:52:41.000000,2022-01-13 11:57:06.000000,2022-01-13 01:17:48.000000,2642.0,41.0,2156,282.0,3004.0,104.0,2387.0,10747.0,\"An open-source NLP research library, built on PyTorch.\",255.0,37,True,2021-11-01 21:44:06.000000,2.8.0,250.0,allennlp,,,,['pytorch'],2340.0,2164.0,https://pypi.org/project/allennlp,2022-01-13 11:57:06.000000,176.0,30077.0,30077.0,,,,,,,,1.0,43.0,,,,,,,,,,,,,,,,,,,,\n63,Theano,Theano/Theano,,ml-frameworks,https://github.com/Theano/Theano,https://github.com/Theano/Theano,BSD-3-Clause,2011-08-10 03:48:06.000000,2021-12-01 00:24:43.000000,2021-11-23 08:52:10.000000,28127.0,1.0,2509,562.0,4114.0,679.0,2086.0,9502.0,\"Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving..\",384.0,37,True,2020-07-27 16:13:54.000000,1.0.5,45.0,theano,conda-forge/theano,,,,14820.0,11982.0,https://pypi.org/project/theano,2020-07-27 16:13:54.000000,2838.0,219726.0,247169.0,https://anaconda.org/conda-forge/theano,2021-11-10 16:59:17.809000,1811255.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n64,Dagster,dagster-io/dagster,,data-pipelines,https://github.com/dagster-io/dagster,https://github.com/dagster-io/dagster,Apache-2.0,2018-04-30 16:30:04.000000,2022-01-13 15:56:19.000000,2022-01-13 01:56:27.000000,9415.0,643.0,506,77.0,2496.0,860.0,2717.0,4175.0,\"An orchestration platform for the development, production, and observation of data assets.\",181.0,37,True,2022-01-06 22:20:31.000000,0.13.13,412.0,dagster,conda-forge/dagster,,,,369.0,286.0,https://pypi.org/project/dagster,2022-01-06 21:31:06.000000,83.0,153953.0,170626.0,https://anaconda.org/conda-forge/dagster,2022-01-07 16:38:47.303000,433500.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n65,tensorflow-probability,tensorflow/probability,,probabilistics,https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000000,2022-01-12 20:54:53.000000,2022-01-12 20:54:51.000000,11236.0,129.0,949,173.0,382.0,526.0,637.0,3569.0,Probabilistic reasoning and statistical analysis in TensorFlow.,433.0,37,True,2021-11-18 15:49:59.000000,0.15.0,41.0,tensorflow-probability,conda-forge/tensorflow-probability,,,['tensorflow'],299.0,,https://pypi.org/project/tensorflow-probability,2021-11-17 17:40:22.000000,299.0,762036.0,763419.0,https://anaconda.org/conda-forge/tensorflow-probability,2021-10-22 19:50:42.522000,48412.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n66,joblib,joblib/joblib,,data-pipelines,https://github.com/joblib/joblib,https://github.com/joblib/joblib,BSD-3-Clause,2010-05-07 06:48:26.000000,2022-01-13 11:42:58.000000,2021-11-08 20:50:44.000000,1385.0,2.0,315,65.0,582.0,332.0,376.0,2641.0,Computing with Python functions.,106.0,37,True,2021-10-07 14:42:42.000000,1.1.0,102.0,joblib,conda-forge/joblib,,,,158625.0,153734.0,https://pypi.org/project/joblib,2021-10-07 14:42:42.000000,4891.0,24070853.0,24172665.0,https://anaconda.org/conda-forge/joblib,2021-10-07 20:15:36.705000,6719652.0,,,,,1.0,,,1.0,,,,,,,,,,,,,,,,,,\n67,MNE,mne-tools/mne-python,,medical-data,https://github.com/mne-tools/mne-python,https://github.com/mne-tools/mne-python,BSD-3-Clause,2011-01-28 03:31:13.000000,2022-01-12 22:53:02.000000,2022-01-12 22:02:50.000000,16571.0,236.0,973,76.0,6298.0,354.0,3548.0,1779.0,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,278.0,37,True,2021-12-01 22:27:11.000000,0.24.1,58.0,mne,conda-forge/mne,,,,1518.0,1326.0,https://pypi.org/project/mne,2021-12-01 22:27:11.000000,192.0,23746.0,26802.0,https://anaconda.org/conda-forge/mne,2021-12-18 15:46:02.719000,180320.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n68,Rasterio,mapbox/rasterio,,geospatial-data,https://github.com/rasterio/rasterio,https://github.com/rasterio/rasterio,BSD-3-Clause,2013-11-04 16:36:27.000000,2022-01-11 22:04:17.000000,2022-01-06 21:09:29.000000,3473.0,43.0,455,158.0,883.0,140.0,1355.0,1651.0,Rasterio reads and writes geospatial raster datasets.,118.0,37,True,2021-10-21 15:00:11.000000,1.3a2,133.0,rasterio,conda-forge/rasterio,,,,4925.0,4197.0,https://pypi.org/project/rasterio,2021-10-15 02:04:49.000000,728.0,619793.0,639349.0,https://anaconda.org/conda-forge/rasterio,2022-01-04 20:48:48.980000,1368327.0,,,,,1.0,743.0,,,,,,,,,rasterio/rasterio,,,,,,,,,,,\n69,TF Addons,tensorflow/addons,,tensorflow-utils,https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17.000000,2022-01-06 15:11:27.000000,2022-01-03 15:51:36.000000,1429.0,30.0,484,58.0,1768.0,218.0,699.0,1431.0,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,182.0,37,True,2021-11-10 21:09:55.000000,0.15.0,28.0,tensorflow-addons,,,,['tensorflow'],5235.0,5096.0,https://pypi.org/project/tensorflow-addons,2021-11-10 21:40:18.000000,139.0,6937111.0,6937111.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n70,Graphviz,xflr6/graphviz,,data-viz,https://github.com/xflr6/graphviz,https://github.com/xflr6/graphviz,MIT,2014-01-12 17:49:29.000000,2022-01-01 15:57:53.000000,2022-01-01 15:57:43.000000,1131.0,640.0,166,29.0,31.0,4.0,119.0,1120.0,Simple Python interface for Graphviz.,17.0,37,True,2021-12-12 11:06:31.000000,0.19.1,53.0,graphviz,,,,,29965.0,27063.0,https://pypi.org/project/graphviz,2021-12-12 11:06:31.000000,2902.0,7848241.0,7848241.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n71,imageio,imageio/imageio,,image,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000000,2022-01-12 22:35:36.000000,2022-01-11 12:23:14.000000,1318.0,43.0,194,30.0,314.0,72.0,339.0,975.0,Python library for reading and writing image data.,83.0,37,True,2021-12-23 02:39:09.000000,2.13.5,45.0,imageio,conda-forge/imageio,,,,56643.0,54101.0,https://pypi.org/project/imageio,2021-12-23 02:39:06.000000,2542.0,16005330.0,16046224.0,https://anaconda.org/conda-forge/imageio,2021-12-29 11:44:58.030000,2453575.0,,,,,1.0,104.0,,1.0,,,,,,,,,,,,,,,,,,\n72,PaddleOCR,PaddlePaddle/PaddleOCR,,ocr,https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000000,2022-01-13 11:28:28.000000,2022-01-10 09:18:27.000000,3850.0,684.0,3802,332.0,1533.0,1014.0,2809.0,18571.0,\"Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages..\",85.0,36,True,2021-05-26 11:43:06.000000,2.1.1,20.0,paddleocr,,,,['paddle'],495.0,491.0,https://pypi.org/project/paddleocr,2022-01-10 07:14:20.000000,4.0,27888.0,27888.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n73,fairseq,pytorch/fairseq,,nlp,https://github.com/pytorch/fairseq,https://github.com/pytorch/fairseq,MIT,2017-08-29 16:26:12.000000,2022-01-13 12:22:30.000000,2022-01-13 09:53:42.000000,2098.0,66.0,3805,319.0,982.0,1117.0,2029.0,15072.0,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,370.0,36,True,2021-01-05 20:26:45.000000,0.10.2,13.0,fairseq,,,,['pytorch'],659.0,631.0,https://pypi.org/project/fairseq,2021-01-05 20:26:45.000000,28.0,26901.0,26904.0,,,,,,,,1.0,162.0,,,,,,,,,,,,,,,,,,,,\n74,horovod,horovod/horovod,,distributed-ml,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000000,2022-01-13 15:13:56.000000,2022-01-10 19:38:23.000000,1119.0,48.0,1944,333.0,1299.0,266.0,1667.0,12024.0,\"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.\",140.0,36,True,2021-10-06 18:03:55.000000,0.23.0,67.0,horovod,,,,,514.0,485.0,https://pypi.org/project/horovod,2021-10-06 18:03:55.000000,29.0,38248.0,38248.0,,,,,,,,2.0,,stable/horovod,,,,,,,,,,,,,,,,,,,\n75,pyecharts,pyecharts/pyecharts,,data-viz,https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000000,2022-01-13 06:37:20.000000,2021-11-16 06:25:52.000000,1522.0,7.0,2571,378.0,433.0,28.0,1505.0,11902.0,Python Echarts Plotting Library.,30.0,36,True,2021-11-16 06:27:35.000000,1.9.1,67.0,pyecharts,,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,['jupyter'],2204.0,1993.0,https://pypi.org/project/pyecharts,2021-11-16 06:27:35.000000,211.0,65730.0,65730.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n76,DVC,iterative/dvc,,ml-experiments,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000000,2022-01-13 13:19:27.000000,2022-01-13 08:00:03.000000,7230.0,274.0,875,124.0,3620.0,609.0,2872.0,9106.0,Data Version Control | Git for Data & Models | ML Experiments Management.,255.0,36,True,2021-12-22 15:13:37.000000,2.9.3,344.0,dvc,conda-forge/dvc,,,,46.0,,https://pypi.org/project/dvc,2021-12-22 15:13:37.000000,46.0,260274.0,295800.0,https://anaconda.org/conda-forge/dvc,2021-12-25 11:03:28.304000,971005.0,,,,,1.0,53728.0,,,,,,,,,,dvc,dvc,dvc,,,,,,,,\n77,pandas-profiling,pandas-profiling/pandas-profiling,,data-viz,https://github.com/pandas-profiling/pandas-profiling,https://github.com/pandas-profiling/pandas-profiling,MIT,2016-01-09 23:47:55.000000,2022-01-09 20:46:37.000000,2022-01-08 10:44:22.000000,933.0,26.0,1194,146.0,373.0,97.0,434.0,8392.0,Create HTML profiling reports from pandas DataFrame objects.,83.0,36,True,2021-09-27 23:12:22.000000,3.1.0,31.0,pandas-profiling,conda-forge/pandas-profiling,,,\"['jupyter', 'pandas']\",6508.0,6364.0,https://pypi.org/project/pandas-profiling,2021-09-27 23:12:22.000000,144.0,963176.0,965994.0,https://anaconda.org/conda-forge/pandas-profiling,2021-09-28 13:50:05.966000,183225.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n78,rq,rq/rq,,data-pipelines,https://github.com/rq/rq,https://github.com/rq/rq,BSD-3-Clause,2011-11-14 10:53:48.000000,2022-01-03 03:44:42.000000,2022-01-03 03:44:42.000000,1619.0,8.0,1261,217.0,663.0,169.0,772.0,8096.0,Simple job queues for Python.,249.0,36,True,2021-12-07 12:48:17.000000,1.10.1,68.0,rq,conda-forge/rq,,,,11138.0,9403.0,https://pypi.org/project/rq,2021-12-07 12:46:58.000000,1735.0,407709.0,408722.0,https://anaconda.org/conda-forge/rq,2021-06-30 09:49:43.099000,66886.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n79,Prefect,PrefectHQ/prefect,,data-pipelines,https://github.com/PrefectHQ/prefect,https://github.com/PrefectHQ/prefect,Apache-2.0,2018-06-29 21:59:26.000000,2022-01-13 15:59:40.000000,2022-01-12 20:07:42.000000,14268.0,110.0,775,143.0,2943.0,386.0,1617.0,8095.0,The easiest way to automate your data.,286.0,36,True,2022-01-12 20:08:39.000000,0.15.12,115.0,prefect,conda-forge/prefect,,,,593.0,553.0,https://pypi.org/project/prefect,2022-01-12 22:20:33.000000,40.0,135237.0,142105.0,https://anaconda.org/conda-forge/prefect,2021-12-23 15:32:46.415000,233544.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n80,yfinance,ranaroussi/yfinance,,financial-data,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000000,2022-01-12 15:47:22.000000,2022-01-12 15:43:10.000000,388.0,46.0,1468,195.0,209.0,400.0,324.0,6276.0,Download market data from Yahoo! Finances API.,51.0,36,True,2022-01-12 15:47:22.000000,0.1.69,34.0,yfinance,ranaroussi/yfinance,,,,9013.0,8898.0,https://pypi.org/project/yfinance,2022-01-12 15:47:22.000000,115.0,277516.0,281510.0,https://anaconda.org/ranaroussi/yfinance,2021-07-10 20:29:09.532000,23966.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n81,Chainer,chainer/chainer,,ml-frameworks,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37.000000,2022-01-05 05:33:36.000000,2022-01-05 04:28:43.000000,30604.0,9.0,1374,294.0,6581.0,18.0,2028.0,5667.0,A flexible framework of neural networks for deep learning.,320.0,36,True,2022-01-05 05:33:36.000000,7.8.1,111.0,chainer,,,,,2867.0,2466.0,https://pypi.org/project/chainer,2022-01-05 05:33:36.000000,401.0,18192.0,18192.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n82,imbalanced-learn,scikit-learn-contrib/imbalanced-learn,,sklearn-utils,https://github.com/scikit-learn-contrib/imbalanced-learn,https://github.com/scikit-learn-contrib/imbalanced-learn,MIT,2014-08-16 05:08:26.000000,2022-01-11 20:45:56.000000,2022-01-11 20:45:50.000000,760.0,17.0,1161,152.0,401.0,62.0,441.0,5658.0,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,61.0,36,True,2022-01-11 18:09:58.000000,0.9.0,28.0,imbalanced-learn,conda-forge/imbalanced-learn,,,['sklearn'],9072.0,8829.0,https://pypi.org/project/imbalanced-learn,2022-01-11 18:09:58.000000,243.0,2611818.0,2615295.0,https://anaconda.org/conda-forge/imbalanced-learn,2022-01-11 19:44:20.853000,177352.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n83,folium,python-visualization/folium,,geospatial-data,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000000,2022-01-08 17:19:53.000000,2022-01-08 17:19:52.000000,1517.0,42.0,2028,171.0,665.0,204.0,714.0,5574.0,Python Data. Leaflet.js Maps.,126.0,36,True,2021-11-19 21:01:43.000000,0.12.1.post1,26.0,folium,conda-forge/folium,,,,14309.0,13678.0,https://pypi.org/project/folium,2021-11-19 21:08:10.000000,631.0,677595.0,684756.0,https://anaconda.org/conda-forge/folium,2021-12-03 19:47:05.533000,501279.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n84,UMAP,lmcinnes/umap,,data-viz,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17.000000,2022-01-04 22:01:11.000000,2022-01-04 22:01:11.000000,1561.0,85.0,602,120.0,203.0,305.0,285.0,5332.0,Uniform Manifold Approximation and Projection.,97.0,36,True,2021-10-29 16:33:56.000000,0.5.2,36.0,umap-learn,,,,,4649.0,4362.0,https://pypi.org/project/umap-learn,2021-10-29 16:33:56.000000,287.0,1404577.0,1404577.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n85,PyCaret,pycaret/pycaret,,ml-experiments,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000000,2022-01-13 13:11:04.000000,2022-01-12 19:36:55.000000,2123.0,208.0,1110,105.0,557.0,209.0,1063.0,4812.0,\"An open-source, low-code machine learning library in Python.\",69.0,36,True,2022-01-12 14:42:28.000000,2.3.6,75.0,pycaret,,,,,1684.0,1673.0,https://pypi.org/project/pycaret,2022-01-12 14:42:28.000000,11.0,277118.0,277146.0,,,,,,,,1.0,510.0,,1.0,,,,,,,,,,,,,,,,,,\n86,dbt,fishtown-analytics/dbt,,data-pipelines,https://github.com/dbt-labs/dbt-core,https://github.com/dbt-labs/dbt-core,Apache-2.0,2016-03-10 02:38:00.000000,2022-01-12 22:58:34.000000,2022-01-12 22:03:11.000000,5309.0,187.0,720,91.0,2029.0,247.0,2180.0,4042.0,dbt enables data analysts and engineers to transform their data using the same practices that software engineers use..,190.0,36,True,2022-01-03 19:01:38.000000,1.0.1,173.0,dbt,conda-forge/dbt,,,,283.0,254.0,https://pypi.org/project/dbt,2021-12-06 20:32:12.000000,29.0,568502.0,571568.0,https://anaconda.org/conda-forge/dbt,2021-12-09 22:07:39.668000,190034.0,,,,,2.0,118.0,,-1.0,,,,,,,dbt-labs/dbt-core,dbt,,,,,,,,,,\n87,GeoPandas,geopandas/geopandas,,geospatial-data,https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000000,2022-01-12 18:55:34.000000,2022-01-12 18:55:31.000000,1515.0,29.0,658,108.0,1109.0,417.0,852.0,2948.0,Python tools for geographic data.,156.0,36,True,2021-10-16 06:59:55.000000,0.10.2,40.0,geopandas,conda-forge/geopandas,,,['pandas'],12686.0,11596.0,https://pypi.org/project/geopandas,2021-10-16 06:59:50.000000,1090.0,1788814.0,1807048.0,https://anaconda.org/conda-forge/geopandas,2021-12-01 18:19:27.710000,1274982.0,,,,,2.0,1355.0,,,,,,,,,,,,,,,,,,,,\n88,Thinc,explosion/thinc,,ml-frameworks,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59.000000,2022-01-12 21:15:17.000000,2021-12-21 12:40:42.000000,5011.0,28.0,227,85.0,459.0,20.0,97.0,2435.0,\"A refreshing functional take on deep learning, compatible with your favorite libraries.\",43.0,36,True,2021-11-05 12:27:02.000000,8.0.13,200.0,thinc,conda-forge/thinc,,,,18891.0,18279.0,https://pypi.org/project/thinc,2021-12-17 10:16:52.000000,612.0,3715416.0,3745832.0,https://anaconda.org/conda-forge/thinc,2021-12-08 16:36:35.030000,1794562.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n89,SageMaker SDK,aws/sagemaker-python-sdk,,ml-experiments,https://github.com/aws/sagemaker-python-sdk,https://github.com/aws/sagemaker-python-sdk,Apache-2.0,2017-11-14 01:03:33.000000,2022-01-13 03:50:21.000000,2022-01-12 21:29:53.000000,2319.0,100.0,731,102.0,1789.0,330.0,646.0,1540.0,A library for training and deploying machine learning models on Amazon SageMaker.,241.0,36,True,2022-01-10 19:39:24.000000,2.72.3,398.0,sagemaker,,,,\"['mxnet', 'tensorflow']\",1080.0,1036.0,https://pypi.org/project/sagemaker,2022-01-10 19:39:24.000000,44.0,2111305.0,2111305.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n90,jieba,fxsjy/jieba,,chinese-nlp,https://github.com/fxsjy/jieba,https://github.com/fxsjy/jieba,MIT,2012-09-29 07:52:01.000000,2021-07-25 14:17:48.000000,2020-02-15 08:33:35.000000,523.0,,6437,1294.0,162.0,630.0,208.0,27714.0,Chinese Words Segmentation Utilities.,48.0,35,False,2020-01-20 14:27:23.000000,0.42.1,32.0,jieba,conda-forge/jieba,,,,13631.0,12124.0,https://pypi.org/project/jieba,2020-01-20 14:27:23.000000,1507.0,539722.0,541477.0,https://anaconda.org/conda-forge/jieba,2021-05-30 19:33:02.597000,100089.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n91,detectron2,facebookresearch/detectron2,,image,https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000000,2022-01-13 01:09:58.000000,2022-01-13 01:09:56.000000,1330.0,59.0,5019,344.0,432.0,143.0,2669.0,19538.0,\"Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.\",197.0,35,True,2021-11-15 22:08:26.000000,0.6,10.0,,conda-forge/detectron2,,,['pytorch'],466.0,466.0,,,,,1846.0,https://anaconda.org/conda-forge/detectron2,2022-01-11 20:10:26.500000,36936.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n92,PyTorch Image Models,rwightman/pytorch-image-models,,image,https://github.com/rwightman/pytorch-image-models,https://github.com/rwightman/pytorch-image-models,Apache-2.0,2019-02-02 05:51:12.000000,2022-01-13 07:14:59.000000,2022-01-08 03:30:51.000000,1237.0,106.0,2505,258.0,203.0,57.0,386.0,15769.0,\"PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision..\",64.0,35,True,2021-10-04 00:02:48.000000,0.1-rsb-weights,27.0,,,,,['pytorch'],1738.0,1738.0,,,,,25873.0,,,,,,,,1.0,827965.0,,,,,,,,,,,,,,,,,,,,\n93,PyTorch Geometric,rusty1s/pytorch_geometric,,graph,https://github.com/pyg-team/pytorch_geometric,https://github.com/pyg-team/pytorch_geometric,MIT,2017-10-06 16:03:03.000000,2022-01-12 17:03:43.000000,2022-01-12 17:03:43.000000,5271.0,172.0,2326,240.0,596.0,868.0,1484.0,13558.0,Graph Neural Network Library for PyTorch.,233.0,35,True,2021-12-22 06:52:13.000000,2.0.3,32.0,torch-geometric,,,,['pytorch'],31.0,,https://pypi.org/project/torch-geometric,2021-12-22 06:52:13.000000,31.0,40010.0,40010.0,,,,,,,,1.0,,,,,,,,,,pyg-team/pytorch_geometric,,,,,,,,,,,\n94,imgaug,aleju/imgaug,,image,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33.000000,2021-12-31 00:20:29.231000,2020-06-01 14:58:26.000000,2913.0,,2172,226.0,327.0,256.0,219.0,12186.0,Image augmentation for machine learning experiments.,36.0,35,False,2020-02-06 06:18:40.000000,0.4.0,11.0,imgaug,conda-forge/imgaug,,,,9037.0,8682.0,https://pypi.org/project/imgaug,2020-02-05 20:54:22.000000,355.0,219363.0,221289.0,https://anaconda.org/conda-forge/imgaug,2021-12-31 00:20:29.231000,59709.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n95,tensor2tensor,tensorflow/tensor2tensor,,tensorflow-utils,https://github.com/tensorflow/tensor2tensor,https://github.com/tensorflow/tensor2tensor,Apache-2.0,2017-06-15 16:57:39.000000,2022-01-12 18:24:42.000000,2022-01-12 18:24:41.000000,4362.0,6.0,2935,449.0,664.0,563.0,669.0,11923.0,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,235.0,35,True,2020-06-17 16:15:36.000000,1.15.7,79.0,tensor2tensor,,,,['tensorflow'],1197.0,1104.0,https://pypi.org/project/tensor2tensor,2020-06-17 16:15:36.000000,93.0,161001.0,161001.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n96,ChatterBot,gunthercox/ChatterBot,,nlp,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00.000000,2022-01-08 01:46:49.000000,2021-06-01 10:43:00.000000,1848.0,,3910,547.0,693.0,300.0,1248.0,11907.0,\"ChatterBot is a machine learning, conversational dialog engine for creating chat bots.\",103.0,35,True,2020-08-22 18:42:43.000000,1.0.8,86.0,chatterbot,,,,,4429.0,4079.0,https://pypi.org/project/chatterbot,2020-08-22 18:40:36.000000,350.0,28443.0,28443.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n97,NNI,microsoft/nni,,hyperopt,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44.000000,2022-01-13 06:26:38.000000,2022-01-13 05:19:46.000000,2460.0,107.0,1524,269.0,2837.0,248.0,1237.0,10830.0,\"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..\",154.0,35,True,2021-11-04 00:55:22.000000,2.5,45.0,nni,,,,,197.0,169.0,https://pypi.org/project/nni,2022-01-13 06:26:38.000000,28.0,5084.0,5084.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n98,Albumentations,albumentations-team/albumentations,,image,https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000000,2022-01-13 09:54:10.000000,2021-12-24 19:26:29.000000,698.0,19.0,1199,125.0,548.0,239.0,335.0,9487.0,Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation:..,100.0,35,True,2021-10-04 09:30:33.000000,1.1.0,49.0,albumentations,conda-forge/albumentations,,,['pytorch'],6428.0,6249.0,https://pypi.org/project/albumentations,2021-10-04 09:30:33.000000,179.0,192553.0,193511.0,https://anaconda.org/conda-forge/albumentations,2021-07-15 13:53:18.638000,29699.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n99,MoviePy,Zulko/moviepy,,image,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000000,2022-01-02 12:17:46.000000,2021-11-12 17:14:13.000000,1072.0,5.0,1183,243.0,602.0,346.0,790.0,8870.0,Video editing with Python.,145.0,35,True,2020-05-07 16:29:35.000000,1.0.3,85.0,moviepy,conda-forge/moviepy,,,,13527.0,12804.0,https://pypi.org/project/moviepy,2021-12-15 14:41:26.454000,723.0,1471621.0,1473467.0,https://anaconda.org/conda-forge/moviepy,2020-02-23 19:57:49.975000,99707.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n100,dgl,dmlc/dgl,,graph,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000000,2022-01-13 10:46:06.000000,2022-01-13 10:46:06.000000,2063.0,93.0,1917,173.0,2342.0,297.0,1019.0,8777.0,\"Python package built to ease deep learning on graph, on top of existing DL frameworks.\",184.0,35,True,2021-11-08 04:09:08.000000,0.7.2,438.0,dgl,,,,,36.0,,https://pypi.org/project/dgl,2021-05-27 13:25:52.000000,36.0,70878.0,70878.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n101,ParlAI,facebookresearch/ParlAI,,nlp,https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44.000000,2022-01-13 05:43:15.000000,2022-01-12 19:17:32.000000,4041.0,99.0,1679,294.0,3004.0,92.0,1137.0,8557.0,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,170.0,35,True,2021-10-12 21:51:23.000000,1.5.1,21.0,parlai,,,,['pytorch'],60.0,57.0,https://pypi.org/project/parlai,2021-10-12 21:51:23.000000,3.0,2391.0,2391.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n102,glfw,glfw/glfw,,image,https://github.com/glfw/glfw,https://github.com/glfw/glfw,Zlib,2013-04-18 15:24:53.000000,2022-01-04 02:47:40.000000,2021-12-31 12:32:25.000000,4398.0,71.0,3230,377.0,531.0,467.0,1070.0,8518.0,\"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.\",178.0,35,False,2021-12-18 09:10:57.000000,2.5.0,42.0,glfw,conda-forge/glfw,,,,145.0,1.0,https://pypi.org/project/glfw,2021-12-18 09:10:57.000000,144.0,68579.0,101339.0,https://anaconda.org/conda-forge/glfw,2021-12-10 00:25:15.337000,43440.0,,,,,1.0,2584563.0,,,,,,,,,,,,,,,,,,,,\n103,PySyft,OpenMined/PySyft,,privacy-ml,https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,Apache-2.0,2017-07-18 20:41:16.000000,2022-01-13 14:55:07.000000,2022-01-12 15:16:37.000000,12848.0,1252.0,1747,209.0,3191.0,301.0,2758.0,7858.0,A library for answering questions using data you cannot see.,426.0,35,True,2021-12-01 19:46:09.000000,0.6.0,61.0,syft,,,,['pytorch'],5.0,,https://pypi.org/project/syft,2021-12-01 19:46:09.000000,5.0,3332.0,3332.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n104,featuretools,alteryx/featuretools,,hyperopt,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17.000000,2022-01-12 16:04:04.000000,2022-01-11 16:34:49.000000,889.0,48.0,777,157.0,1125.0,157.0,556.0,5932.0,An open source python library for automated feature engineering.,57.0,35,True,2022-01-11 05:15:26.000000,1.4.0,97.0,featuretools,conda-forge/featuretools,,,,970.0,908.0,https://pypi.org/project/featuretools,2022-01-11 05:15:26.000000,62.0,1051811.0,1053859.0,https://anaconda.org/conda-forge/featuretools,2022-01-11 19:01:07.170000,75788.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n105,Great Expectations,great-expectations/great_expectations,,data-pipelines,https://github.com/great-expectations/great_expectations,https://github.com/great-expectations/great_expectations,Apache-2.0,2017-09-11 00:18:46.000000,2022-01-13 16:00:40.000000,2022-01-13 16:00:08.000000,8109.0,256.0,802,66.0,2864.0,188.0,1003.0,5920.0,Always know what to expect from your data.,256.0,35,True,2022-01-06 21:52:39.000000,0.14.0,140.0,great_expectations,,,,,27.0,,https://pypi.org/project/great_expectations,2022-01-06 21:36:57.000000,27.0,2263604.0,2263604.0,,,,,,,,2.0,,,1.0,,,,,,,,,,,,,,,,,,\n106,espnet,espnet/espnet,,audio,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000000,2022-01-13 16:20:42.000000,2022-01-13 14:14:49.000000,13549.0,635.0,1424,176.0,2312.0,272.0,1354.0,4598.0,End-to-End Speech Processing Toolkit.,215.0,35,True,2021-12-31 14:15:58.000000,0.10.5,41.0,espnet,,,,,31.0,30.0,https://pypi.org/project/espnet,2021-12-31 14:15:58.000000,1.0,2937.0,2938.0,,,,,,,,1.0,74.0,,,,,,,,,,,,,,,,,,,,\n107,MLxtend,rasbt/mlxtend,,sklearn-utils,https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16.000000,2022-01-04 16:01:32.000000,2022-01-04 14:57:26.000000,1253.0,21.0,729,121.0,449.0,99.0,299.0,3766.0,A library of extension and helper modules for Pythons data analysis and machine learning libraries.,85.0,35,True,2021-09-03 00:02:55.000000,0.19.0,47.0,mlxtend,conda-forge/mlxtend,,,['sklearn'],5100.0,4955.0,https://pypi.org/project/mlxtend,2021-09-03 00:02:55.000000,145.0,1510104.0,1513660.0,https://anaconda.org/conda-forge/mlxtend,2021-09-03 13:27:33.719000,192027.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n108,TensorFlow Datasets,tensorflow/datasets,,tensorflow-utils,https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000000,2022-01-13 16:18:22.000000,2022-01-13 16:18:15.000000,4546.0,226.0,1186,103.0,2759.0,513.0,609.0,3116.0,\"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...\",241.0,35,True,2021-07-28 12:29:08.000000,4.4.0,23.0,tensorflow-datasets,,,,['tensorflow'],142.0,,https://pypi.org/project/tensorflow-datasets,2021-07-28 12:24:01.000000,142.0,1368596.0,1368596.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n109,Nilearn,nilearn/nilearn,,medical-data,https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000000,2022-01-12 11:57:49.000000,2022-01-10 17:04:39.000000,9536.0,61.0,438,74.0,1608.0,270.0,1284.0,800.0,Machine learning for NeuroImaging in Python.,178.0,35,True,2021-09-16 14:49:56.000000,0.8.1,38.0,nilearn,conda-forge/nilearn,,,['sklearn'],1573.0,1343.0,https://pypi.org/project/nilearn,2021-09-16 14:47:18.000000,230.0,16099.0,18077.0,https://anaconda.org/conda-forge/nilearn,2021-09-16 18:04:31.312000,134380.0,,,,,1.0,14.0,,,,,,,,,,,,,,,,,,,,\n110,pyproj,pyproj4/pyproj,,geospatial-data,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000000,2022-01-12 15:24:35.000000,2022-01-12 15:21:35.000000,1283.0,22.0,167,29.0,503.0,9.0,451.0,698.0,Python interface to PROJ (cartographic projections and coordinate transformations library).,45.0,35,True,2021-11-18 01:52:35.000000,3.3.0,44.0,pyproj,conda-forge/pyproj,,,,14107.0,12482.0,https://pypi.org/project/pyproj,2021-11-18 01:52:35.000000,1625.0,3466158.0,3504755.0,https://anaconda.org/conda-forge/pyproj,2022-01-03 12:33:24.114000,2817602.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n111,PyFlink,apache/flink,,ml-frameworks,https://github.com/apache/flink,https://github.com/apache/flink,Apache-2.0,2014-06-07 07:00:10.000000,2022-01-13 13:36:09.000000,2022-01-13 10:29:44.000000,29379.0,745.0,9903,926.0,18339.0,690.0,,17969.0,Apache Flink Python API.,1446.0,34,True,2021-12-16 03:04:06.000000,1.14.2,27.0,apache-flink,,,,,9.0,,https://pypi.org/project/apache-flink,2021-12-16 03:04:06.000000,9.0,7375.0,7375.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n112,Faiss,facebookresearch/faiss,,nn-search,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000000,2022-01-13 07:28:00.000000,2022-01-10 18:31:03.000000,587.0,16.0,2416,445.0,455.0,241.0,1452.0,15972.0,A library for efficient similarity search and clustering of dense vectors.,90.0,34,True,2022-01-10 12:19:49.000000,1.7.2,58.0,pymilvus,conda-forge/faiss,,,,551.0,536.0,https://pypi.org/project/pymilvus,2021-12-31 11:23:42.000000,15.0,23849.0,35594.0,https://anaconda.org/conda-forge/faiss,2021-11-20 08:01:48.432000,234901.0,,,,,1.0,,,1.0,,,,,,,,,,,,,,,,,,\n113,InsightFace,deepinsight/insightface,,image,https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,MIT,2017-09-01 00:36:51.000000,2022-01-12 11:57:22.000000,2022-01-12 11:57:22.000000,1933.0,103.0,3548,451.0,104.0,964.0,820.0,11040.0,State-of-the-art 2D and 3D Face Analysis Project.,35.0,34,True,2021-08-31 06:20:24.000000,0.4.2,21.0,insightface,,,,['mxnet'],131.0,126.0,https://pypi.org/project/insightface,2021-09-21 02:50:54.000000,5.0,23535.0,23535.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n114,TextBlob,sloria/TextBlob,,nlp,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18.000000,2021-12-15 14:34:36.304000,2021-10-22 03:17:05.000000,562.0,2.0,1057,272.0,155.0,101.0,154.0,8020.0,\"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..\",35.0,34,True,2021-10-22 03:18:24.000000,0.17.1,59.0,textblob,conda-forge/textblob,,,,18039.0,16671.0,https://pypi.org/project/textblob,2021-12-15 14:34:36.304000,1368.0,753163.0,755431.0,https://anaconda.org/conda-forge/textblob,2019-02-24 23:32:55.233000,147440.0,,,,,2.0,97.0,,,,,,,,,,,,,,,,,,,,\n115,tensorboardX,lanpa/tensorboardX,,ml-experiments,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19.000000,2022-01-09 09:18:56.000000,2021-12-26 14:56:05.000000,479.0,5.0,841,85.0,226.0,74.0,363.0,7201.0,\"tensorboard for pytorch (and chainer, mxnet, numpy, ...).\",70.0,34,True,2021-11-21 09:12:04.000000,2.4.1,16.0,tensorboardX,conda-forge/tensorboardx,,,,17282.0,16420.0,https://pypi.org/project/tensorboardX,2021-11-21 09:12:04.000000,862.0,535491.0,548626.0,https://anaconda.org/conda-forge/tensorboardx,2021-08-10 02:00:22.589000,630237.0,,,,,2.0,341.0,,,,,,,,,,,,,,,,,,,,\n116,sentence-transformers,UKPLab/sentence-transformers,,nlp,https://github.com/UKPLab/sentence-transformers,https://github.com/UKPLab/sentence-transformers,Apache-2.0,2019-07-24 10:53:51.000000,2022-01-12 17:37:53.000000,2022-01-06 19:48:10.000000,1030.0,25.0,1312,102.0,125.0,620.0,624.0,6830.0,Multilingual Sentence & Image Embeddings with BERT.,70.0,34,True,2021-10-01 09:10:30.000000,2.1.0,40.0,sentence-transformers,,,,['pytorch'],2272.0,2192.0,https://pypi.org/project/sentence-transformers,2021-10-01 08:44:06.000000,80.0,526541.0,526541.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n117,Modin,modin-project/modin,,data-containers,https://github.com/modin-project/modin,https://github.com/modin-project/modin,Apache-2.0,2018-06-21 21:35:05.000000,2022-01-13 14:51:18.000000,2022-01-12 17:07:29.000000,1663.0,118.0,469,107.0,1679.0,676.0,1602.0,6690.0,Modin: Speed up your Pandas workflows by changing a single line of code.,87.0,34,True,2021-12-19 03:40:24.000000,0.12.1,47.0,modin,,,,['pandas'],555.0,535.0,https://pypi.org/project/modin,2021-12-19 03:40:24.000000,20.0,174681.0,179343.0,,,,,,,,2.0,195828.0,,,,,,,,,,,,,,,,,,,,\n118,Hyperopt,hyperopt/hyperopt,,hyperopt,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59.000000,2021-12-16 22:20:37.000000,2021-11-29 10:21:36.000000,1194.0,9.0,924,129.0,250.0,358.0,231.0,6023.0,Distributed Asynchronous Hyperparameter Optimization in Python.,93.0,34,True,2021-11-17 10:05:44.000000,0.2.7,13.0,hyperopt,conda-forge/hyperopt,,,,5943.0,5543.0,https://pypi.org/project/hyperopt,2021-11-17 10:05:44.000000,400.0,1716217.0,1724267.0,https://anaconda.org/conda-forge/hyperopt,2020-10-14 07:57:14.292000,322027.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n119,Kornia,kornia/kornia,,image,https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000000,2022-01-12 07:20:55.000000,2022-01-12 07:20:54.000000,1941.0,87.0,558,109.0,967.0,140.0,389.0,5707.0,Open Source Differentiable Computer Vision Library.,144.0,34,True,2021-12-03 21:54:30.000000,0.6.2,26.0,kornia,,,,['pytorch'],944.0,900.0,https://pypi.org/project/kornia,2021-12-03 21:54:30.000000,44.0,262194.0,262198.0,,,,,,,,2.0,177.0,,,,,,,,,,,,,,,,,,,,\n120,Gradio,gradio-app/gradio,,others,https://github.com/gradio-app/gradio,https://github.com/gradio-app/gradio,Apache-2.0,2018-12-19 08:24:04.000000,2022-01-12 20:12:31.000000,2022-01-10 16:44:17.000000,2893.0,418.0,294,65.0,107.0,41.0,215.0,4727.0,\"Wrap UIs around any model, share with anyone.\",40.0,34,True,2022-01-04 16:51:08.000000,2.7.0,179.0,gradio,,,,,502.0,490.0,https://pypi.org/project/gradio,2022-01-04 16:51:08.000000,12.0,72205.0,72205.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n121,wandb client,wandb/client,,ml-experiments,https://github.com/wandb/client,https://github.com/wandb/client,MIT,2017-03-24 05:46:23.000000,2022-01-13 07:55:13.000000,2022-01-12 01:15:22.000000,4352.0,125.0,283,34.0,1651.0,370.0,1278.0,3640.0,A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.,98.0,34,True,2021-12-17 00:59:09.000000,0.12.9,216.0,wandb,,,,,189.0,,https://pypi.org/project/wandb,2021-12-17 00:58:05.000000,189.0,485775.0,485775.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n122,tensorflow-hub,tensorflow/hub,,tensorflow-utils,https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42.000000,2022-01-13 09:53:05.000000,2022-01-13 09:53:03.000000,1022.0,40.0,1611,138.0,199.0,15.0,620.0,3024.0,A library for transfer learning by reusing parts of TensorFlow models.,83.0,34,True,2021-04-14 13:17:26.000000,0.12.0,15.0,tensorflow-hub,conda-forge/tensorflow-hub,,,['tensorflow'],10144.0,9866.0,https://pypi.org/project/tensorflow-hub,2021-04-14 12:54:13.000000,278.0,2704786.0,2706173.0,https://anaconda.org/conda-forge/tensorflow-hub,2021-04-18 18:01:14.779000,59653.0,,,,,2.0,,,-1.0,,,,,,,,,,,,,,,,,,\n123,AzureML SDK,Azure/MachineLearningNotebooks,,ml-experiments,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000000,2021-12-13 18:36:09.000000,2021-12-13 18:36:08.000000,1164.0,4.0,1971,2086.0,446.0,199.0,1015.0,2817.0,Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft.,57.0,34,True,2021-11-08 15:39:29.000000,1.36.0,84.0,azureml-sdk,,,,,45.0,,https://pypi.org/project/azureml-sdk,2021-12-13 16:21:23.000000,45.0,1776475.0,1776485.0,,,,,,,,2.0,426.0,,,,,,,,,,,,,,,,,,,,\n124,PyQtGraph,pyqtgraph/pyqtgraph,,data-viz,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21.000000,2022-01-12 19:48:36.000000,2022-01-12 19:48:36.000000,3140.0,117.0,896,149.0,1157.0,309.0,677.0,2681.0,Fast data visualization and GUI tools for scientific / engineering applications.,215.0,34,True,2021-10-11 03:35:04.000000,0.12.3,16.0,pyqtgraph,conda-forge/pyqtgraph,,,,761.0,,https://pypi.org/project/pyqtgraph,2021-10-11 03:35:04.000000,761.0,55650.0,59210.0,https://anaconda.org/conda-forge/pyqtgraph,2021-10-11 16:15:08.513000,213609.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n125,spark-nlp,JohnSnowLabs/spark-nlp,,nlp,https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000000,2022-01-13 15:48:34.000000,2022-01-12 13:59:07.000000,13682.0,1217.0,526,88.0,6086.0,87.0,524.0,2563.0,State of the Art Natural Language Processing.,107.0,34,True,2022-01-05 15:25:57.000000,3.4.0,99.0,spark-nlp,,,,['spark'],8.0,,https://pypi.org/project/spark-nlp,2022-01-05 09:46:49.000000,8.0,1363700.0,1363700.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n126,opencv-python,opencv/opencv-python,,image,https://github.com/opencv/opencv-python,https://github.com/opencv/opencv-python,MIT,2016-04-08 13:36:40.000000,2021-12-29 05:59:26.000000,2021-12-27 16:40:57.000000,820.0,30.0,484,77.0,106.0,30.0,474.0,2468.0,\"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..\",36.0,34,True,2021-12-28 06:05:52.000000,62,61.0,opencv-python,,,,,8727.0,,https://pypi.org/project/opencv-python,2021-12-29 05:59:26.000000,8727.0,4071661.0,4071661.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n127,HoloViews,holoviz/holoviews,,data-viz,https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000000,2022-01-13 13:07:17.601000,2021-12-18 20:04:58.000000,10270.0,31.0,339,60.0,2451.0,812.0,1913.0,2073.0,\"With Holoviews, your data visualizes itself.\",116.0,34,True,2021-12-16 15:54:33.000000,1.14.7,75.0,holoviews,conda-forge/holoviews,,,['jupyter'],194.0,,https://pypi.org/project/holoviews,2021-12-16 11:46:55.000000,194.0,221658.0,232514.0,https://anaconda.org/conda-forge/holoviews,2022-01-13 13:07:17.601000,625419.0,,,,,2.0,,,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,2020-05-24 13:49:54.205000,,1659.0,,,,,,,,,,,,,\n128,arviz,arviz-devs/arviz,,interpretability,https://github.com/arviz-devs/arviz,https://github.com/arviz-devs/arviz,Apache-2.0,2015-07-29 11:51:10.000000,2022-01-13 03:11:34.000000,2022-01-07 01:50:57.000000,1335.0,48.0,256,44.0,1262.0,193.0,555.0,1139.0,Exploratory analysis of Bayesian models with Python.,107.0,34,True,2021-10-03 11:17:21.000000,0.11.4,25.0,arviz,conda-forge/arviz,,,,1865.0,1794.0,https://pypi.org/project/arviz,2021-10-03 11:17:21.000000,71.0,242100.0,260714.0,https://anaconda.org/conda-forge/arviz,2021-10-03 15:30:41.137000,595605.0,,,,,1.0,111.0,,,,,,,,,,,,,,,,,,,,\n129,PyTables,PyTables/PyTables,,data-containers,https://github.com/PyTables/PyTables,https://github.com/PyTables/PyTables,BSD-3-Clause,2011-06-03 19:44:46.000000,2022-01-07 12:32:04.000000,2022-01-07 12:31:57.000000,4064.0,100.0,218,59.0,303.0,178.0,497.0,1093.0,A Python package to manage extremely large amounts of data.,103.0,34,True,2021-12-28 21:59:09.000000,3.7.0,35.0,tables,conda-forge/pytables,,,,2324.0,,https://pypi.org/project/tables,2021-12-28 21:42:08.000000,2324.0,633523.0,689749.0,https://anaconda.org/conda-forge/pytables,2021-11-29 19:12:08.113000,3654585.0,,,,,2.0,164.0,,,,,,,,,,,,,,,,,,,,\n130,NIPYPE,nipy/nipype,,medical-data,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000000,2021-12-23 08:27:38.000000,2021-12-15 21:43:27.000000,14314.0,65.0,475,48.0,2184.0,359.0,896.0,609.0,Workflows and interfaces for neuroimaging packages.,227.0,34,True,2021-10-20 17:40:54.000000,1.7.0,56.0,nipype,conda-forge/nipype,,,,975.0,824.0,https://pypi.org/project/nipype,2021-10-20 15:33:29.000000,151.0,29098.0,36033.0,https://anaconda.org/conda-forge/nipype,2021-10-20 17:02:23.801000,457717.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n131,Face Recognition,ageitgey/face_recognition,,image,https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39.000000,2021-12-04 17:06:24.000000,2021-06-14 10:10:40.000000,219.0,,11744,1588.0,191.0,658.0,552.0,42818.0,The worlds simplest facial recognition api for Python and the command line.,47.0,33,True,2018-08-21 18:34:21.000000,1.2.3,21.0,face_recognition,,,,['pytorch'],207.0,,https://pypi.org/project/face_recognition,2018-08-21 18:34:21.000000,207.0,45764.0,45771.0,,,,,,,,2.0,452.0,,,,,,,,,,,,,,,,,,,,\n132,fastText,facebookresearch/fastText,,nlp,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000000,2021-12-17 14:37:54.000000,2020-07-18 00:20:40.000000,379.0,,4392,871.0,233.0,470.0,598.0,23285.0,Library for fast text representation and classification.,58.0,33,False,2020-04-28 09:54:50.000000,0.9.2,35.0,fasttext,conda-forge/fasttext,,,,2639.0,2478.0,https://pypi.org/project/fasttext,2020-04-28 09:54:50.000000,161.0,376212.0,376718.0,https://anaconda.org/conda-forge/fasttext,2021-11-08 12:46:40.327000,25856.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n133,MMDetection,open-mmlab/mmdetection,,image,https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000000,2022-01-13 12:41:55.000000,2021-12-30 09:22:44.000000,1885.0,107.0,6404,351.0,1929.0,426.0,4618.0,17964.0,OpenMMLab Detection Toolbox and Benchmark.,294.0,33,True,2021-12-30 09:27:38.000000,2.20.0,28.0,,,,,['pytorch'],231.0,231.0,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n134,zipline,quantopian/zipline,,financial-data,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29.000000,2021-11-01 20:36:25.000000,2020-10-14 16:36:49.000000,6226.0,,4203,1012.0,1863.0,346.0,651.0,14805.0,\"Zipline, a Pythonic Algorithmic Trading Library.\",153.0,33,False,2020-10-05 15:46:20.429000,1.4.1,30.0,zipline,,,,,893.0,808.0,https://pypi.org/project/zipline,2020-10-05 15:46:20.429000,85.0,4088.0,4088.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n135,EasyOCR,JaidedAI/EasyOCR,,ocr,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000000,2022-01-04 19:37:05.000000,2021-10-15 02:56:26.000000,474.0,,1763,268.0,153.0,150.0,329.0,13564.0,\"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..\",90.0,33,True,2021-09-11 09:38:37.000000,1.4.1,25.0,easyocr,,,,,827.0,806.0,https://pypi.org/project/easyocr,2021-09-11 09:38:37.000000,21.0,120465.0,171861.0,,,,,,,,1.0,976532.0,,1.0,,,,,,,,,,,,,,,,,,\n136,Annoy,spotify/annoy,,nn-search,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40.000000,2022-01-03 17:22:52.000000,2022-01-03 17:22:52.000000,834.0,4.0,955,318.0,247.0,38.0,299.0,9348.0,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,76.0,33,True,2020-09-18 16:07:59.000000,1.17.0,43.0,annoy,,,,,2125.0,1890.0,https://pypi.org/project/annoy,2020-09-18 16:07:59.000000,235.0,775401.0,775401.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n137,fuzzywuzzy,seatgeek/fuzzywuzzy,,nlp,https://github.com/seatgeek/fuzzywuzzy,https://github.com/seatgeek/fuzzywuzzy,GPL-2.0,2011-07-08 19:32:34.000000,2021-11-02 23:56:01.000000,2021-09-09 20:54:41.000000,384.0,,861,265.0,145.0,103.0,102.0,8588.0,Fuzzy String Matching in Python.,70.0,33,False,2020-02-13 22:14:12.000000,0.18.0,27.0,fuzzywuzzy,conda-forge/fuzzywuzzy,,,,12755.0,10822.0,https://pypi.org/project/fuzzywuzzy,2020-02-13 21:06:25.000000,1933.0,5012720.0,5017923.0,https://anaconda.org/conda-forge/fuzzywuzzy,2020-11-18 12:59:01.409000,343435.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n138,wordcloud,amueller/word_cloud,,data-viz,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59.000000,2022-01-10 11:00:09.000000,2021-11-13 00:48:18.000000,549.0,5.0,2144,216.0,207.0,110.0,360.0,8552.0,A little word cloud generator in Python.,64.0,33,True,2020-11-11 21:41:02.000000,1.8.1,16.0,wordcloud,conda-forge/wordcloud,,,,710.0,,https://pypi.org/project/wordcloud,2020-11-11 21:41:02.000000,710.0,498662.0,502557.0,https://anaconda.org/conda-forge/wordcloud,2021-11-15 20:34:05.364000,253205.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n139,Vowpal Wabbit,VowpalWabbit/vowpal_wabbit,,ml-frameworks,https://github.com/VowpalWabbit/vowpal_wabbit,https://github.com/VowpalWabbit/vowpal_wabbit,BSD-3-Clause,2009-07-31 19:36:58.000000,2022-01-12 22:49:04.000000,2022-01-12 20:42:55.000000,9596.0,151.0,1758,368.0,2467.0,180.0,992.0,7835.0,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,310.0,33,True,2021-07-14 18:02:58.000000,8.11.0,18.0,vowpalwabbit,,,,,25.0,,https://pypi.org/project/vowpalwabbit,2021-07-14 18:02:58.000000,25.0,48000.0,48000.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n140,carla,carla-simulator/carla,,others,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000000,2022-01-12 06:19:18.000000,2021-11-19 11:13:47.000000,5439.0,58.0,2046,236.0,1113.0,504.0,3150.0,7122.0,Open-source simulator for autonomous driving research.,138.0,33,True,2021-11-17 08:28:27.000000,0.9.13,24.0,carla,,,,,119.0,116.0,https://pypi.org/project/carla,2021-11-17 08:28:27.000000,3.0,2218.0,2218.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n141,auto-sklearn,automl/auto-sklearn,,hyperopt,https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10.000000,2022-01-13 14:35:56.000000,2021-12-24 22:24:39.000000,2583.0,20.0,1110,217.0,547.0,112.0,722.0,5958.0,Automated Machine Learning with scikit-learn.,77.0,33,True,2022-01-11 11:26:52.000000,0.14.3,37.0,auto-sklearn,,,,['sklearn'],280.0,250.0,https://pypi.org/project/auto-sklearn,2022-01-11 11:26:52.000000,30.0,23003.0,23003.0,,,,,,,,1.0,3.0,,1.0,,,,,,,,,,,,,,,,,,\n142,Datasette,simonw/datasette,,others,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000000,2022-01-13 13:11:50.000000,2021-12-23 19:18:20.000000,1867.0,91.0,383,95.0,297.0,334.0,895.0,5713.0,An open source multi-tool for exploring and publishing data.,60.0,33,True,2021-11-30 06:57:58.000000,0.59.4,111.0,datasette,,,,,715.0,573.0,https://pypi.org/project/datasette,2021-12-19 22:18:10.000000,142.0,144119.0,144119.0,,,,,,,,1.0,34.0,,,,,,,,,,datasette,,,,,,,,,,\n143,sentencepiece,google/sentencepiece,,nlp,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000000,2022-01-12 15:32:47.000000,2021-07-02 15:44:09.000000,697.0,,736,111.0,227.0,48.0,444.0,5593.0,Unsupervised text tokenizer for Neural Network-based text generation.,57.0,33,True,2021-06-18 09:34:31.000000,0.1.96,31.0,sentencepiece,conda-forge/sentencepiece,,,,12283.0,12003.0,https://pypi.org/project/sentencepiece,2021-06-18 09:34:31.000000,280.0,3366586.0,3374786.0,https://anaconda.org/conda-forge/sentencepiece,2021-11-05 06:32:08.219000,139101.0,,,,,2.0,19408.0,,1.0,,,,,,,,,,,,,,,,,,\n144,OpenNMT,OpenNMT/OpenNMT-py,,nlp,https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000000,2022-01-11 14:45:44.000000,2022-01-11 14:45:44.000000,2588.0,6.0,2034,167.0,855.0,120.0,1207.0,5421.0,Open Source Neural Machine Translation in PyTorch.,173.0,33,True,2021-09-14 08:49:23.000000,2.2.0,32.0,OpenNMT-py,,,,['pytorch'],130.0,122.0,https://pypi.org/project/OpenNMT-py,2021-09-14 08:49:23.000000,8.0,14994.0,14994.0,,,,,,,,2.0,,,1.0,,,,,,,,,,,,,,,,,,\n145,PyOD,yzhao062/pyod,,others,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04.000000,2022-01-04 03:05:58.000000,2022-01-04 02:56:06.000000,1414.0,33.0,1015,150.0,144.0,118.0,116.0,5169.0,(JMLR 19) A Python Toolbox for Scalable Outlier Detection (Anomaly Detection).,33.0,33,True,2022-01-04 03:05:12.000000,0.9.7,75.0,pyod,,,,,1083.0,1055.0,https://pypi.org/project/pyod,2022-01-04 03:03:42.000000,28.0,439749.0,439749.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n146,Tokenizers,huggingface/tokenizers,,nlp,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000000,2022-01-12 08:42:13.000000,2022-01-12 08:42:13.000000,1511.0,18.0,424,92.0,329.0,156.0,400.0,5140.0,Fast State-of-the-Art Tokenizers optimized for Research and Production.,50.0,33,True,2022-01-04 14:12:10.000000,0.11.2,65.0,tokenizers,conda-forge/tokenizers,,,,133.0,40.0,https://pypi.org/project/tokenizers,2022-01-04 14:12:10.000000,93.0,3607452.0,3613479.0,https://anaconda.org/conda-forge/tokenizers,2022-01-05 10:55:03.573000,108494.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n147,librosa,librosa/librosa,,audio,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000000,2022-01-12 20:54:55.000000,2022-01-12 20:54:29.000000,3129.0,27.0,779,137.0,501.0,36.0,895.0,4942.0,Python library for audio and music analysis.,93.0,33,True,2021-05-26 10:15:06.000000,0.8.1,31.0,librosa,conda-forge/librosa,,,,1160.0,,https://pypi.org/project/librosa,2021-05-26 10:15:06.000000,1160.0,496003.0,502426.0,https://anaconda.org/conda-forge/librosa,2021-05-26 10:44:27.607000,423983.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n148,sktime,alan-turing-institute/sktime,,time-series-data,https://github.com/alan-turing-institute/sktime,https://github.com/alan-turing-institute/sktime,BSD-3-Clause,2018-11-06 15:08:24.000000,2022-01-13 05:28:30.000000,2022-01-12 21:27:19.000000,2221.0,146.0,724,108.0,960.0,304.0,566.0,4826.0,A unified framework for machine learning with time series.,135.0,33,True,2021-12-08 20:04:41.000000,0.9.0,19.0,sktime,,,,['sklearn'],343.0,324.0,https://pypi.org/project/sktime,2021-12-08 20:04:41.000000,19.0,123654.0,123656.0,,,,,,,,1.0,64.0,,,,,,,,,,,,,,,,,,,,\n149,Kedro,quantumblacklabs/kedro,,data-pipelines,https://github.com/kedro-org/kedro,https://github.com/kedro-org/kedro,Apache-2.0,2019-04-18 10:29:56.000000,2022-01-13 15:46:34.000000,2022-01-13 10:50:23.000000,1399.0,77.0,539,90.0,487.0,51.0,557.0,4821.0,\"A Python framework for creating reproducible, maintainable and modular data science code.\",135.0,33,True,2021-12-09 16:01:14.000000,0.17.6,30.0,kedro,,,,,718.0,683.0,https://pypi.org/project/kedro,2021-12-09 16:01:14.000000,35.0,221007.0,221007.0,,,,,,,,2.0,,,,,,,,,,kedro-org/kedro,,,,,,,,,,,\n150,Ignite,pytorch/ignite,,ml-frameworks,https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000000,2022-01-13 12:55:41.000000,2022-01-10 08:48:28.000000,1316.0,70.0,510,61.0,1414.0,133.0,866.0,3826.0,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,160.0,33,True,2021-10-13 09:11:37.000000,0.4.7,779.0,pytorch-ignite,pytorch/ignite,,,['pytorch'],76.0,,https://pypi.org/project/pytorch-ignite,2022-01-13 00:15:09.000000,76.0,68559.0,70358.0,https://anaconda.org/pytorch/ignite,2021-10-19 15:47:07.847000,77360.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n151,geopy,geopy/geopy,,geospatial-data,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000000,2021-12-15 15:51:51.000000,2021-09-26 10:28:21.000000,1072.0,,555,96.0,250.0,24.0,227.0,3533.0,Geocoding library for Python.,123.0,33,True,2021-07-11 12:18:10.000000,2.2.0,58.0,geopy,conda-forge/geopy,,,,35564.0,31685.0,https://pypi.org/project/geopy,2021-07-11 12:15:26.000000,3879.0,2779773.0,2788895.0,https://anaconda.org/conda-forge/geopy,2021-07-12 18:34:05.605000,638563.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n152,DeepChem,deepchem/deepchem,,others,https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000000,2022-01-13 09:50:59.000000,2022-01-12 16:15:54.000000,7384.0,137.0,1243,155.0,1448.0,429.0,988.0,3362.0,\"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.\",177.0,33,True,2022-01-11 03:23:29.000000,2.6.0,368.0,deepchem,,,,['tensorflow'],70.0,66.0,https://pypi.org/project/deepchem,2022-01-12 16:23:35.000000,4.0,4551.0,4551.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n153,torchtext,pytorch/text,,nlp,https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000000,2022-01-13 14:02:43.000000,2022-01-12 20:41:06.000000,928.0,71.0,676,248.0,909.0,340.0,338.0,2925.0,Data loaders and abstractions for text and NLP.,120.0,33,True,2021-12-15 22:27:14.000000,0.11.1,18.0,torchtext,,,,['pytorch'],431.0,,https://pypi.org/project/torchtext,2021-12-15 22:27:14.000000,431.0,113655.0,113655.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n154,MONAI,Project-MONAI/MONAI,,medical-data,https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000000,2022-01-13 15:11:45.000000,2022-01-13 13:24:39.000000,1644.0,199.0,508,79.0,1767.0,147.0,1272.0,2667.0,AI Toolkit for Healthcare Imaging.,84.0,33,True,2021-11-25 21:19:49.000000,0.8.0,37.0,monai,,,,['pytorch'],189.0,178.0,https://pypi.org/project/monai,2022-01-10 16:00:51.000000,11.0,20377.0,20377.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n155,Flax,google/flax,,ml-frameworks,https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000000,2022-01-13 07:36:14.000000,2022-01-13 07:35:27.000000,2387.0,117.0,272,70.0,1049.0,166.0,284.0,2541.0,Flax is a neural network library for JAX that is designed for flexibility.,125.0,33,True,2021-10-27 21:00:51.000000,0.3.6,15.0,flax,,,,['jax'],656.0,606.0,https://pypi.org/project/flax,2021-10-27 21:00:51.000000,50.0,159375.0,159376.0,,,,,,,,2.0,31.0,,,,,,,,,,,,,,,,,,,,\n156,Keras Tuner,keras-team/keras-tuner,,hyperopt,https://github.com/keras-team/keras-tuner,https://github.com/keras-team/keras-tuner,Apache-2.0,2019-06-06 22:38:21.000000,2022-01-12 18:30:58.000000,2022-01-12 01:17:01.000000,867.0,13.0,315,66.0,270.0,162.0,198.0,2451.0,Hyperparameter tuning for humans.,41.0,33,True,2021-11-05 17:28:50.000000,1.1.0,11.0,keras-tuner,,,,['tensorflow'],1097.0,1063.0,https://pypi.org/project/keras-tuner,2021-11-05 17:28:50.000000,34.0,524247.0,524247.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n157,TF-Agents,tensorflow/agents,,reinforcement-learning,https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000000,2022-01-12 05:08:00.000000,2022-01-12 05:05:15.000000,1993.0,55.0,588,82.0,169.0,106.0,419.0,2152.0,\"TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.\",116.0,33,True,2021-11-15 17:59:06.000000,0.11.0,29.0,tf-agents,,,,['tensorflow'],683.0,669.0,https://pypi.org/project/tf-agents,2021-11-15 17:59:06.000000,14.0,69706.0,69706.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n158,ipyparallel,ipython/ipyparallel,,distributed-ml,https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,BSD-3-Clause,2015-04-09 07:43:55.000000,2022-01-10 11:30:10.000000,2022-01-10 11:30:10.000000,2537.0,116.0,851,114.0,343.0,49.0,266.0,2135.0,IPython Parallel: Interactive Parallel Computing in Python.,105.0,33,True,2021-11-12 13:31:42.000000,8.0.0,36.0,ipyparallel,conda-forge/ipyparallel,,,['jupyter'],2065.0,1782.0,https://pypi.org/project/ipyparallel,2021-12-22 08:42:58.000000,283.0,44106.0,52056.0,https://anaconda.org/conda-forge/ipyparallel,2021-12-23 14:25:42.627000,548607.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n159,category_encoders,scikit-learn-contrib/category_encoders,,sklearn-utils,https://github.com/scikit-learn-contrib/category_encoders,https://github.com/scikit-learn-contrib/category_encoders,BSD-3-Clause,2015-11-29 19:32:37.000000,2021-11-28 14:52:41.000000,2021-11-16 22:47:58.000000,740.0,30.0,338,39.0,103.0,78.0,161.0,1810.0,A library of sklearn compatible categorical variable encoders.,48.0,33,True,2021-10-13 15:40:27.000000,2.3.0-rerelease,19.0,category_encoders,conda-forge/category_encoders,,,['sklearn'],2912.0,2889.0,https://pypi.org/project/category_encoders,2018-10-14 14:15:54.000000,23.0,863665.0,865753.0,https://anaconda.org/conda-forge/category_encoders,2021-10-13 18:33:34.503000,137853.0,,,,,2.0,,,-1.0,,,,,,,,,,,,,,,,,,\n160,numexpr,pydata/numexpr,,data-containers,https://github.com/pydata/numexpr,https://github.com/pydata/numexpr,MIT,2013-11-30 22:33:48.000000,2022-01-07 19:21:38.000000,2022-01-07 19:21:31.000000,701.0,14.0,172,57.0,77.0,58.0,259.0,1708.0,\"Fast numerical array expression evaluator for Python, NumPy, PyTables, pandas, bcolz and more.\",58.0,33,True,2021-12-10 22:03:53.000000,2.8.1,43.0,numexpr,conda-forge/numexpr,,,,2973.0,,https://pypi.org/project/numexpr,2021-12-15 14:40:01.971000,2973.0,1405298.0,1458637.0,https://anaconda.org/conda-forge/numexpr,2021-12-09 17:29:02.384000,3467097.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n161,Ax,facebook/Ax,,hyperopt,https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000000,2022-01-13 07:03:48.000000,2022-01-12 05:02:43.000000,1631.0,174.0,180,71.0,446.0,39.0,312.0,1667.0,Adaptive Experimentation Platform.,108.0,33,True,2021-12-16 18:07:17.000000,0.2.3,25.0,ax-platform,,,,['pytorch'],241.0,227.0,https://pypi.org/project/ax-platform,2021-12-16 18:07:17.000000,14.0,90327.0,90327.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n162,Geocoder,DenisCarriere/geocoder,,geospatial-data,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21.000000,2022-01-10 13:22:10.000000,2018-10-12 15:53:05.000000,1251.0,,267,55.0,151.0,99.0,217.0,1412.0,Python Geocoder.,74.0,33,False,2018-04-04 12:34:51.000000,1.38.1,110.0,geocoder,conda-forge/geocoder,,,,4808.0,4316.0,https://pypi.org/project/geocoder,2018-04-04 12:34:51.000000,492.0,2229893.0,2231504.0,https://anaconda.org/conda-forge/geocoder,2019-06-27 16:40:50.469000,95093.0,,,,,2.0,,,,,,,,,,,,,,geocoder,,,,,,,\n163,snakemake,snakemake/snakemake,,ml-experiments,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867000,2022-01-13 13:04:23.000000,2022-01-11 20:44:31.000000,4267.0,59.0,281,18.0,527.0,529.0,296.0,1206.0,\"This is the development home of the workflow management system Snakemake. For general information, see.\",231.0,33,True,2022-01-11 20:45:29.000000,6.13.1,197.0,snakemake,bioconda/snakemake,,,,1198.0,997.0,https://pypi.org/project/snakemake,2022-01-11 20:45:48.000000,201.0,48618.0,53548.0,https://anaconda.org/bioconda/snakemake,2022-01-12 03:11:58.230000,369755.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n164,Wand,emcconville/wand,,image,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000000,2021-11-20 16:28:51.000000,2021-11-20 16:28:47.000000,1741.0,4.0,192,29.0,190.0,16.0,348.0,1139.0,The ctypes-based simple ImageMagick binding for Python.,97.0,33,True,2021-08-17 02:43:04.000000,0.6.7,50.0,wand,,,,,9095.0,8416.0,https://pypi.org/project/wand,2021-08-17 02:13:00.000000,679.0,292813.0,292957.0,,,,,,,,2.0,5500.0,,,,,,,,,,,,,,,,,,,,\n165,Hail,hail-is/hail,,medical-data,https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000000,2022-01-13 14:11:53.000000,2022-01-13 00:40:57.000000,9363.0,219.0,199,58.0,9230.0,55.0,1967.0,772.0,Scalable genomic data analysis.,77.0,33,True,2021-12-21 01:54:07.000000,0.2.81,101.0,hail,,,,['spark'],52.0,47.0,https://pypi.org/project/hail,2021-12-21 01:54:07.000000,5.0,15048.0,15048.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n166,tensorflow-upstream,ROCmSoftwarePlatform/tensorflow-upstream,,ml-frameworks,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,Apache-2.0,2018-04-09 21:24:50.000000,2022-01-13 02:42:15.000000,2022-01-13 02:42:14.000000,126821.0,4128.0,66,52.0,1221.0,56.0,267.0,578.0,TensorFlow ROCm port.,3907.0,33,True,2021-12-17 21:13:49.000000,2.7.0,71.0,tensorflow-rocm,,,,['tensorflow'],5.0,,https://pypi.org/project/tensorflow-rocm,2021-12-17 21:13:49.000000,5.0,1554.0,1554.0,,,,,,,,2.0,17.0,,,,,,,,,,,,,,,,,,,,\n167,Magenta,magenta/magenta,,audio,https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40.000000,2022-01-11 20:36:29.000000,2021-06-30 21:44:13.000000,1393.0,,3518,796.0,1101.0,321.0,570.0,17350.0,Magenta: Music and Art Generation with Machine Intelligence.,149.0,32,True,2020-11-12 19:17:18.000000,2.1.3,66.0,magenta,,,,['tensorflow'],366.0,330.0,https://pypi.org/project/magenta,2020-11-12 19:17:18.000000,36.0,6592.0,6592.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n168,Prophet,facebook/prophet,,time-series-data,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000000,2022-01-10 15:49:22.000000,2022-01-07 22:03:58.000000,697.0,3.0,3928,416.0,333.0,166.0,1581.0,13916.0,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,137.0,32,True,2021-04-02 23:45:16.000000,1.0,14.0,fbprophet,,,,,120.0,,https://pypi.org/project/fbprophet,2020-09-05 16:12:50.000000,120.0,1086065.0,1086076.0,,,,,,,,1.0,640.0,,,,,,,,,,,,,,,,,,,,\n169,Turi Create,apple/turicreate,,ml-frameworks,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04.000000,2021-11-29 19:55:31.000000,2021-11-29 19:55:31.000000,1571.0,1.0,1111,359.0,1679.0,484.0,1281.0,10546.0,Turi Create simplifies the development of custom machine learning models.,83.0,32,True,2020-09-30 22:51:40.000000,6.4.1,31.0,turicreate,,,,,303.0,284.0,https://pypi.org/project/turicreate,2020-09-30 22:51:40.000000,19.0,21936.0,22037.0,,,,,,,,3.0,4976.0,,,,,,,,,,,,,,,,,,,,\n170,TFlearn,tflearn/tflearn,,ml-frameworks,https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,MIT,2016-03-31 12:05:53.000000,2021-01-25 09:41:59.000000,2020-11-30 04:34:51.000000,613.0,,2429,466.0,255.0,563.0,362.0,9577.0,Deep learning library featuring a higher-level API for TensorFlow.,128.0,32,False,2020-11-11 19:26:11.000000,0.5.0,8.0,tflearn,,,,['tensorflow'],4175.0,3687.0,https://pypi.org/project/tflearn,2020-11-11 19:13:47.000000,488.0,11799.0,11799.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n171,Lime,marcotcr/lime,,interpretability,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10.000000,2021-10-19 11:55:10.000000,2021-07-29 23:17:25.000000,531.0,,1499,273.0,104.0,22.0,525.0,9454.0,Lime: Explaining the predictions of any machine learning classifier.,61.0,32,True,2020-04-03 22:05:03.000000,0.2.0.0,38.0,lime,conda-forge/lime,,,,1965.0,1858.0,https://pypi.org/project/lime,2020-06-26 21:38:15.000000,107.0,1172268.0,1173745.0,https://anaconda.org/conda-forge/lime,2020-06-28 01:02:41.538000,90142.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n172,AutoKeras,keras-team/autokeras,,hyperopt,https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20.000000,2021-12-23 15:56:45.000000,2021-12-22 21:24:41.000000,1275.0,7.0,1327,316.0,786.0,64.0,727.0,8304.0,AutoML library for deep learning.,130.0,32,True,2021-11-02 00:16:03.000000,1.0.16.post1,53.0,autokeras,,,,['tensorflow'],275.0,266.0,https://pypi.org/project/autokeras,2021-11-02 00:27:01.000000,9.0,39739.0,39782.0,,,,,,,,2.0,2168.0,,,,,,,,,,,,,,,,,,,,\n173,PaddleHub,PaddlePaddle/PaddleHub,,others,https://github.com/PaddlePaddle/PaddleHub,https://github.com/PaddlePaddle/PaddleHub,Apache-2.0,2018-12-21 06:00:48.000000,2022-01-07 11:46:48.000000,2021-12-28 03:05:27.000000,2209.0,44.0,1474,140.0,767.0,380.0,623.0,7410.0,\"Awesome pre-trained models toolkit based on PaddlePaddle.(300+ models including Image, Text, Audio and Video with Easy..\",53.0,32,True,2021-12-28 02:55:41.000000,2.2.0,47.0,paddlehub,,,,['paddle'],642.0,638.0,https://pypi.org/project/paddlehub,2021-12-28 02:55:41.000000,4.0,7854.0,7870.0,,,,,,,,2.0,561.0,,,,,,,,,,,,,,,,,,,,\n174,Pyro,pyro-ppl/pyro,,probabilistics,https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000000,2022-01-12 03:14:42.000000,2021-12-28 23:32:56.000000,2296.0,30.0,881,201.0,2101.0,184.0,739.0,7254.0,Deep universal probabilistic programming with Python and PyTorch.,116.0,32,True,2021-12-14 16:17:56.000000,1.8.0,28.0,pyro-ppl,,,,['pytorch'],651.0,602.0,https://pypi.org/project/pyro-ppl,2021-12-14 16:19:58.000000,49.0,59505.0,59505.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n175,tensorpack,tensorpack/tensorpack,,ml-frameworks,https://github.com/tensorpack/tensorpack,https://github.com/tensorpack/tensorpack,Apache-2.0,2015-12-25 23:08:44.000000,2021-11-27 04:08:51.000000,2021-11-27 04:08:51.000000,2937.0,2.0,1808,201.0,204.0,13.0,1330.0,6145.0,\"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.\",58.0,32,True,2020-04-24 19:01:06.000000,0.10.1,37.0,tensorpack,,,,['tensorflow'],968.0,922.0,https://pypi.org/project/tensorpack,2021-01-22 08:44:03.000000,46.0,21444.0,21446.0,,,,,,,,3.0,128.0,,,,,,,,,,,,,,,,,,,,\n176,Pydub,jiaaro/pydub,,audio,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38.000000,2021-12-28 02:38:36.000000,2021-06-08 14:06:40.000000,742.0,,772,126.0,181.0,204.0,253.0,5846.0,Manipulate audio with a simple and easy high level interface.,90.0,32,True,2021-03-10 02:10:41.000000,0.25.1,68.0,pydub,conda-forge/pydub,,,,11081.0,10180.0,https://pypi.org/project/pydub,2021-03-10 02:09:53.000000,901.0,943461.0,944006.0,https://anaconda.org/conda-forge/pydub,2021-03-13 05:16:50.142000,20166.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n177,Bayesian Optimization,fmfn/BayesianOptimization,,hyperopt,https://github.com/fmfn/BayesianOptimization,https://github.com/fmfn/BayesianOptimization,MIT,2014-06-06 08:18:56.000000,2021-11-25 04:39:23.000000,2020-12-19 01:11:23.000000,199.0,,1202,151.0,80.0,45.0,172.0,5678.0,A Python implementation of global optimization with gaussian processes.,27.0,32,False,2020-05-16 16:03:51.000000,1.2.0,8.0,bayesian-optimization,,,,,1078.0,1013.0,https://pypi.org/project/bayesian-optimization,2020-05-16 15:56:09.000000,65.0,108179.0,108180.0,,,,,,,,2.0,74.0,,,,,,,,,,,,,,,,,,,,\n178,Autograd,HIPS/autograd,,others,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23.000000,2021-04-22 18:19:00.000000,2021-03-03 09:27:58.000000,1376.0,,782,218.0,207.0,163.0,222.0,5612.0,Efficiently computes derivatives of numpy code.,51.0,32,True,2017-08-24 17:00:41.000000,1.1.13,24.0,autograd,conda-forge/autograd,,,,3107.0,2837.0,https://pypi.org/project/autograd,2019-07-25 16:21:07.000000,270.0,1094150.0,1097183.0,https://anaconda.org/conda-forge/autograd,2019-07-25 18:29:55.493000,197195.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n179,Metaflow,Netflix/metaflow,,ml-experiments,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000000,2022-01-13 11:49:36.000000,2022-01-11 02:28:29.000000,438.0,88.0,459,232.0,540.0,223.0,190.0,5166.0,Build and manage real-life data science projects with ease!.,44.0,32,True,2022-01-11 02:34:26.000000,2.4.8,38.0,metaflow,conda-forge/metaflow,,,,242.0,238.0,https://pypi.org/project/metaflow,2022-01-11 03:12:42.000000,4.0,45242.0,46446.0,https://anaconda.org/conda-forge/metaflow,2022-01-11 20:04:28.533000,30111.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n180,GluonCV,dmlc/gluon-cv,,image,https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21.000000,2022-01-13 09:00:53.000000,2022-01-09 05:01:44.000000,889.0,4.0,1130,153.0,931.0,60.0,748.0,5035.0,Gluon CV Toolkit.,115.0,32,True,2021-07-25 02:48:59.000000,0.10.4,1272.0,gluoncv,,,,['mxnet'],705.0,646.0,https://pypi.org/project/gluoncv,2022-01-13 09:00:53.000000,59.0,512882.0,512882.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n181,DEAP,deap/deap,,distributed-ml,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39.000000,2022-01-06 19:35:41.000000,2022-01-06 19:35:41.000000,2183.0,22.0,934,205.0,181.0,225.0,246.0,4552.0,Distributed Evolutionary Algorithms in Python.,77.0,32,False,2020-01-21 01:18:06.000000,1.3.1,19.0,deap,conda-forge/deap,,,,2645.0,2324.0,https://pypi.org/project/deap,2020-01-21 01:18:06.000000,321.0,143665.0,146043.0,https://anaconda.org/conda-forge/deap,2021-11-07 17:27:38.136000,159333.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n182,Perspective,finos/perspective,,data-viz,https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000000,2022-01-07 18:07:44.000000,2022-01-06 21:41:52.000000,4989.0,216.0,428,98.0,1155.0,70.0,419.0,4129.0,\"A data visualization and analytics component, especially well-suited for large and/or streaming datasets.\",65.0,32,True,2022-01-06 01:42:23.000000,1.1.0,61.0,perspective-python,,,,['jupyter'],230.0,221.0,https://pypi.org/project/perspective-python,2022-01-06 01:42:23.000000,9.0,3030.0,4747.0,,,,,,,,2.0,,,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2022-01-05 23:51:27.806000,,1717.0,,,,,,,,,,,,,\n183,PML,KevinMusgrave/pytorch-metric-learning,,pytorch-utils,https://github.com/KevinMusgrave/pytorch-metric-learning,https://github.com/KevinMusgrave/pytorch-metric-learning,MIT,2019-10-23 17:20:35.000000,2022-01-12 13:03:18.000000,2022-01-12 13:03:18.000000,838.0,96.0,496,67.0,64.0,41.0,276.0,4024.0,\"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.\",23.0,32,True,2021-12-28 04:39:25.000000,1.1.0,169.0,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,,['pytorch'],193.0,185.0,https://pypi.org/project/pytorch-metric-learning,2021-12-28 04:25:37.000000,8.0,97482.0,97707.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2021-12-28 05:17:47.281000,5423.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n184,Tesseract,madmaze/pytesseract,,ocr,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000000,2022-01-05 23:34:32.000000,2022-01-05 23:34:29.000000,440.0,12.0,555,101.0,118.0,10.0,274.0,3959.0,Python-tesseract is an optical character recognition (OCR) tool for python.,38.0,32,True,2021-06-28 23:00:22.000000,0.3.8,25.0,pytesseract,conda-forge/pytesseract,,,,915.0,,https://pypi.org/project/pytesseract,2021-06-28 23:00:22.000000,915.0,488060.0,504124.0,https://anaconda.org/conda-forge/pytesseract,2021-06-05 17:42:22.118000,481925.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n185,mlpack,mlpack/mlpack,,ml-frameworks,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59.000000,2022-01-13 10:05:33.000000,2022-01-12 19:44:21.000000,27287.0,192.0,1377,188.0,1739.0,103.0,1344.0,3874.0,mlpack: a scalable C++ machine learning library --.,282.0,32,True,2020-10-28 18:28:47.000000,3.4.2,40.0,mlpack,conda-forge/mlpack,,,,1.0,,https://pypi.org/project/mlpack,2020-10-28 18:28:47.000000,1.0,209.0,2512.0,https://anaconda.org/conda-forge/mlpack,2021-11-09 18:05:21.719000,96758.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n186,ClearML,allegroai/clearml,,ml-experiments,https://github.com/allegroai/clearml,https://github.com/allegroai/clearml,Apache-2.0,2019-06-10 08:18:32.000000,2022-01-13 09:58:00.000000,2022-01-13 09:57:44.000000,1494.0,123.0,405,74.0,95.0,147.0,288.0,2924.0,\"ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management.\",44.0,32,True,2022-01-01 21:12:24.000000,1.1.5,52.0,clearml,,allegroai/trains,,,178.0,174.0,https://pypi.org/project/clearml,2022-01-08 21:04:41.000000,4.0,59060.0,60042.0,,,,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,30099.0,2.0,377.0,,,,,,,,,,,,,,,,,,,,\n187,VisPy,vispy/vispy,,data-viz,https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22.000000,2022-01-05 19:58:51.000000,2021-12-10 15:33:59.000000,6909.0,23.0,582,124.0,1006.0,289.0,1015.0,2791.0,High-performance interactive 2D/3D data visualization library.,166.0,32,True,2021-11-24 17:23:39.000000,0.9.4,27.0,vispy,conda-forge/vispy,,,['jupyter'],754.0,661.0,https://pypi.org/project/vispy,2021-11-24 16:27:44.000000,93.0,34994.0,38911.0,https://anaconda.org/conda-forge/vispy,2021-11-24 21:55:08.590000,199150.0,,,,,2.0,,,,vispy,https://www.npmjs.com/package/vispy,2020-03-15 14:39:41.516000,,13.0,,,,,,,,,,,,,\n188,ART,Trusted-AI/adversarial-robustness-toolbox,,adversarial,https://github.com/Trusted-AI/adversarial-robustness-toolbox,https://github.com/Trusted-AI/adversarial-robustness-toolbox,MIT,2018-03-15 14:40:43.000000,2022-01-11 21:37:21.000000,2022-01-10 16:03:49.000000,9376.0,287.0,756,84.0,792.0,72.0,555.0,2719.0,\"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..\",90.0,32,True,2022-01-07 13:51:53.000000,1.9.1,38.0,adversarial-robustness-toolbox,,,,,184.0,178.0,https://pypi.org/project/adversarial-robustness-toolbox,2022-01-07 13:32:42.000000,6.0,3811.0,3811.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n189,GPyTorch,cornellius-gp/gpytorch,,probabilistics,https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000000,2022-01-09 00:10:21.000000,2022-01-05 17:47:42.000000,3539.0,27.0,392,53.0,733.0,249.0,789.0,2649.0,A highly efficient and modular implementation of Gaussian Processes in PyTorch.,90.0,32,True,2021-12-04 15:50:17.000000,1.6.0,31.0,gpytorch,,,,['pytorch'],494.0,464.0,https://pypi.org/project/gpytorch,2021-12-04 15:50:17.000000,30.0,125156.0,125156.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n190,mrjob,Yelp/mrjob,,data-pipelines,https://github.com/Yelp/mrjob,https://github.com/Yelp/mrjob,Apache-2.0,2010-10-13 18:35:21.000000,2021-11-08 11:23:32.000000,2020-11-16 22:20:52.000000,8622.0,,600,111.0,918.0,205.0,1093.0,2574.0,Run MapReduce jobs on Hadoop or Amazon Web Services.,142.0,32,False,2020-09-17 22:26:01.000000,0.7.4,62.0,mrjob,conda-forge/mrjob,,,,1019.0,906.0,https://pypi.org/project/mrjob,2020-09-17 22:26:01.000000,113.0,97331.0,103988.0,https://anaconda.org/conda-forge/mrjob,2020-12-24 22:44:29.424000,426093.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n191,scikit-optimize,scikit-optimize/scikit-optimize,,hyperopt,https://github.com/scikit-optimize/scikit-optimize,https://github.com/scikit-optimize/scikit-optimize,BSD-3-Clause,2016-03-20 21:10:54.000000,2022-01-05 20:41:38.000000,2021-10-12 13:32:38.000000,1570.0,,417,68.0,510.0,232.0,387.0,2270.0,Sequential model-based optimization with a `scipy.optimize` interface.,75.0,32,True,2021-10-12 15:33:19.000000,0.9.0,23.0,scikit-optimize,conda-forge/scikit-optimize,,,,2446.0,2272.0,https://pypi.org/project/scikit-optimize,2021-10-12 14:21:32.000000,174.0,377125.0,386775.0,https://anaconda.org/conda-forge/scikit-optimize,2021-12-15 05:01:56.230000,521105.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n192,BoTorch,pytorch/botorch,,hyperopt,https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000000,2022-01-12 10:53:13.000000,2022-01-12 01:16:06.000000,1067.0,61.0,233,49.0,772.0,57.0,181.0,2170.0,Bayesian optimization in PyTorch.,67.0,32,True,2021-12-09 01:25:08.000000,0.6.0,19.0,botorch,,,,['pytorch'],208.0,196.0,https://pypi.org/project/botorch,2021-12-09 01:25:08.000000,12.0,113253.0,113253.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n193,pgmpy,pgmpy/pgmpy,,probabilistics,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000000,2022-01-12 09:50:55.000000,2022-01-12 09:50:55.000000,2804.0,11.0,627,80.0,753.0,218.0,550.0,1962.0,\"Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in..\",103.0,32,True,2021-12-30 23:16:42.000000,0.1.17,16.0,pgmpy,,,,,310.0,301.0,https://pypi.org/project/pgmpy,2021-12-30 23:11:18.000000,9.0,65277.0,65283.0,,,,,,,,1.0,119.0,,,,,,,,,,,,,,,,,,,,\n194,torchaudio,pytorch/audio,,audio,https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000000,2022-01-13 12:47:09.000000,2022-01-08 19:55:21.000000,1272.0,181.0,370,57.0,1589.0,150.0,444.0,1543.0,\"Data manipulation and transformation for audio signal processing, powered by PyTorch.\",148.0,32,True,2021-12-16 20:41:17.000000,0.10.1,18.0,torchaudio,,,,['pytorch'],103.0,,https://pypi.org/project/torchaudio,2021-12-15 22:26:34.000000,103.0,235795.0,235795.0,,,,,,,,1.0,,,-1.0,,,,,,,,,,,,,,,,,,\n195,ipyleaflet,jupyter-widgets/ipyleaflet,,geospatial-data,https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10.000000,2021-12-22 09:30:54.000000,2021-12-22 09:30:53.000000,986.0,34.0,316,66.0,452.0,181.0,285.0,1208.0,A Jupyter - Leaflet.js bridge.,73.0,32,True,2021-12-06 12:34:17.000000,0.15.0,72.0,ipyleaflet,conda-forge/ipyleaflet,,,['jupyter'],1473.0,1369.0,https://pypi.org/project/ipyleaflet,2021-12-06 12:34:17.000000,102.0,42783.0,90036.0,https://anaconda.org/conda-forge/ipyleaflet,2021-12-09 18:45:12.043000,785709.0,,,,,2.0,,,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2021-12-06 12:32:39.669000,2.0,35699.0,,,,,,,,,,,,,\n196,TensorFlow Transform,tensorflow/transform,,tensorflow-utils,https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53.000000,2022-01-13 13:28:00.000000,2022-01-13 13:27:58.000000,737.0,33.0,177,60.0,78.0,22.0,151.0,901.0,Input pipeline framework.,27.0,32,True,2021-12-02 21:13:55.000000,1.5.0,44.0,tensorflow-transform,,,,['tensorflow'],715.0,661.0,https://pypi.org/project/tensorflow-transform,2021-12-02 21:13:55.000000,54.0,7979088.0,7979088.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n197,Fiona,Toblerity/Fiona,,geospatial-data,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00.000000,2021-12-28 21:19:32.000000,2021-12-28 21:19:32.000000,1275.0,6.0,175,47.0,407.0,80.0,572.0,879.0,Fiona reads and writes geographic data files.,65.0,32,True,2021-05-31 23:04:33.000000,1.8.20,98.0,fiona,conda-forge/fiona,,,,8260.0,7494.0,https://pypi.org/project/fiona,2021-05-31 23:04:33.000000,766.0,2024413.0,2059457.0,https://anaconda.org/conda-forge/fiona,2021-12-01 17:00:06.524000,2453108.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n198,TensorFlow Text,tensorflow/text,,nlp,https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000000,2022-01-13 09:16:57.000000,2022-01-06 15:48:23.000000,584.0,64.0,173,39.0,662.0,56.0,120.0,876.0,Making text a first-class citizen in TensorFlow.,67.0,32,True,2021-11-19 12:59:24.000000,2.7.3,42.0,tensorflow-text,,,,['tensorflow'],1393.0,1327.0,https://pypi.org/project/tensorflow-text,2021-11-19 12:46:51.000000,66.0,1523898.0,1523898.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n199,zarr,zarr-developers/zarr-python,,data-containers,https://github.com/zarr-developers/zarr-python,https://github.com/zarr-developers/zarr-python,MIT,2015-12-15 14:49:40.000000,2022-01-13 07:15:06.000000,2022-01-13 07:14:16.000000,1530.0,57.0,134,42.0,456.0,198.0,278.0,835.0,\"An implementation of chunked, compressed, N-dimensional arrays for Python.\",55.0,32,True,2021-11-19 08:12:25.000000,2.10.3,49.0,zarr,conda-forge/zarr,,,,1167.0,991.0,https://pypi.org/project/zarr,2021-11-19 08:12:25.000000,176.0,52409.0,69886.0,https://anaconda.org/conda-forge/zarr,2021-11-19 10:43:50.744000,1188487.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n200,snowballstemmer,snowballstem/snowball,,nlp,https://github.com/snowballstem/snowball,https://github.com/snowballstem/snowball,BSD-3-Clause,2013-02-23 07:17:42.000000,2021-12-23 22:15:11.000000,2021-12-17 04:08:52.000000,919.0,36.0,148,32.0,104.0,25.0,44.0,540.0,Snowball compiler and stemming algorithms.,28.0,32,True,2021-11-16 18:38:34.000000,2.2.0,10.0,snowballstemmer,conda-forge/snowballstemmer,,,,6731.0,4.0,https://pypi.org/project/snowballstemmer,2021-11-16 18:38:34.000000,6727.0,4917806.0,4973742.0,https://anaconda.org/conda-forge/snowballstemmer,2021-11-17 09:59:16.947000,3635878.0,,,,,2.0,,,-1.0,,,,,,,,,,,,,,,,,,\n201,CNTK,microsoft/CNTK,,ml-frameworks,https://github.com/microsoft/CNTK,https://github.com/microsoft/CNTK,MIT,2015-11-26 09:52:06.000000,2021-08-27 04:46:43.000000,2020-03-31 15:55:14.000000,16116.0,,4402,1289.0,552.0,836.0,2525.0,17117.0,\"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.\",271.0,31,False,2019-04-26 14:13:32.000000,2.7,32.0,cntk,,,,,18.0,,https://pypi.org/project/cntk,2020-12-09 22:21:57.000000,18.0,1025.0,1218.0,,,,,,,,3.0,13899.0,,,,,,,,,,,,,,,,,,,,\n202,Dopamine,google/dopamine,,reinforcement-learning,https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36.000000,2021-12-14 17:59:05.000000,2021-12-14 17:59:04.000000,282.0,11.0,1301,446.0,40.0,80.0,82.0,9713.0,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,14.0,31,True,2021-12-13 23:17:39.000000,4.0.2,42.0,dopamine-rl,,,,['tensorflow'],37.0,,https://pypi.org/project/dopamine-rl,2021-12-13 23:17:39.000000,37.0,1237046.0,1237046.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n203,Sonnet,deepmind/sonnet,,ml-frameworks,https://github.com/deepmind/sonnet,https://github.com/deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35.000000,2021-12-15 15:36:35.000000,2021-12-15 15:36:30.000000,846.0,4.0,1281,439.0,62.0,22.0,147.0,9163.0,TensorFlow-based neural network library.,53.0,31,True,2020-03-27 10:36:19.000000,2.0.0,27.0,dm-sonnet,conda-forge/sonnet,,,['tensorflow'],798.0,746.0,https://pypi.org/project/dm-sonnet,2020-03-27 10:36:10.000000,52.0,116305.0,116795.0,https://anaconda.org/conda-forge/sonnet,2020-11-14 18:13:23.843000,12753.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n204,TPOT,EpistasisLab/tpot,,hyperopt,https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40.000000,2021-07-01 15:13:10.000000,2021-01-06 15:17:46.000000,2368.0,,1419,293.0,402.0,232.0,602.0,8409.0,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,108.0,31,False,2021-01-06 15:20:08.000000,0.11.7,60.0,tpot,conda-forge/tpot,,,['sklearn'],1309.0,1255.0,https://pypi.org/project/tpot,2021-01-06 15:20:08.000000,54.0,23546.0,25729.0,https://anaconda.org/conda-forge/tpot,2021-03-05 04:04:38.005000,139724.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n205,tsfresh,blue-yonder/tsfresh,,time-series-data,https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17.000000,2021-12-21 18:56:28.651000,2021-12-21 03:31:43.000000,507.0,20.0,956,150.0,403.0,41.0,438.0,6122.0,Automatic extraction of relevant features from time series:.,82.0,31,True,2021-12-21 03:37:03.000000,0.19.0,27.0,tsfresh,conda-forge/tsfresh,,,['sklearn'],55.0,,https://pypi.org/project/tsfresh,2021-12-21 03:37:03.000000,55.0,264776.0,266391.0,https://anaconda.org/conda-forge/tsfresh,2021-12-21 18:56:28.651000,80792.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n206,faust,robinhood/faust,,data-pipelines,https://github.com/robinhood/faust,https://github.com/robinhood/faust,BSD-3-Clause,2017-03-08 18:36:11.000000,2021-12-28 13:12:14.000000,2020-10-09 12:59:42.000000,4137.0,,498,136.0,282.0,249.0,236.0,5941.0,Python Stream Processing.,93.0,31,False,2020-02-25 22:57:18.000000,1.10.4,46.0,faust,,,,,948.0,919.0,https://pypi.org/project/faust,2020-02-25 22:57:18.000000,29.0,95975.0,95975.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n207,stanza,stanfordnlp/stanza,,nlp,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56.000000,2022-01-13 08:42:37.000000,2021-11-18 23:03:56.000000,2266.0,2.0,751,142.0,300.0,71.0,550.0,5933.0,Official Stanford NLP Python Library for Many Human Languages.,41.0,31,True,2021-10-06 06:28:19.000000,1.3.0,14.0,stanza,stanfordnlp/stanza,,,,857.0,808.0,https://pypi.org/project/stanza,2021-10-05 06:37:56.000000,49.0,313473.0,313680.0,https://anaconda.org/stanfordnlp/stanza,2021-10-05 07:17:34.873000,4573.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n208,DeepPavlov,deepmipt/DeepPavlov,,nlp,https://github.com/deepmipt/DeepPavlov,https://github.com/deepmipt/DeepPavlov,Apache-2.0,2017-11-17 14:35:29.000000,2022-01-07 09:41:02.000000,2021-12-16 19:43:39.000000,2611.0,4.0,988,215.0,913.0,116.0,498.0,5553.0,An open source library for deep learning end-to-end dialog systems and chatbots.,67.0,31,True,2021-12-16 19:47:39.000000,0.17.2,47.0,deeppavlov,,,,['tensorflow'],247.0,241.0,https://pypi.org/project/deeppavlov,2021-12-16 19:47:39.000000,6.0,9616.0,9616.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n209,TinyDB,msiemens/tinydb,,data-containers,https://github.com/msiemens/tinydb,https://github.com/msiemens/tinydb,MIT,2013-07-12 23:31:13.000000,2022-01-10 19:43:46.000000,2022-01-10 19:43:46.000000,643.0,10.0,418,104.0,133.0,9.0,269.0,4762.0,TinyDB is a lightweight document oriented database optimized for your happiness :).,72.0,31,True,2021-09-23 18:07:35.000000,4.5.2,63.0,tinydb,conda-forge/tinydb,,,,782.0,,https://pypi.org/project/tinydb,2021-09-23 18:07:32.000000,782.0,288259.0,290556.0,https://anaconda.org/conda-forge/tinydb,2021-09-23 23:38:10.536000,153909.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n210,InterpretML,interpretml/interpret,,interpretability,https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000000,2022-01-13 03:48:38.000000,2022-01-13 03:48:31.000000,1870.0,69.0,542,143.0,44.0,85.0,181.0,4406.0,Fit interpretable models. Explain blackbox machine learning.,28.0,31,True,2021-09-23 20:41:03.000000,0.2.7,37.0,interpret,,,,['jupyter'],153.0,145.0,https://pypi.org/project/interpret,2021-09-23 19:52:27.000000,8.0,53094.0,53094.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n211,VisualDL,PaddlePaddle/VisualDL,,ml-experiments,https://github.com/PaddlePaddle/VisualDL,https://github.com/PaddlePaddle/VisualDL,Apache-2.0,2017-12-20 12:34:31.000000,2022-01-13 03:14:38.000000,2021-12-30 09:58:24.000000,860.0,5.0,577,151.0,648.0,58.0,332.0,4265.0,Deep Learning Visualization Toolkit.,31.0,31,True,2021-11-09 12:29:34.000000,2.2.2,35.0,visualdl,,,,['paddle'],920.0,897.0,https://pypi.org/project/visualdl,2022-01-06 11:05:02.000000,23.0,41551.0,41559.0,,,,,,,,2.0,163.0,,,,,,,,,,,,,,,,,,,,\n212,Activeloop,activeloopai/Hub,,data-pipelines,https://github.com/activeloopai/Hub,https://github.com/activeloopai/Hub,MPL-2.0,2019-08-09 06:17:59.000000,2022-01-13 17:15:10.000000,2022-01-12 13:13:15.000000,5037.0,189.0,338,61.0,1095.0,67.0,267.0,4189.0,\"Dataset format for AI. Build, manage, & visualize datasets for deep learning. Stream data real-time to..\",89.0,31,True,2021-12-22 22:49:55.000000,2.2.0,120.0,hub,,,,,191.0,139.0,https://pypi.org/project/hub,2021-12-22 22:48:30.000000,52.0,2070.0,2070.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n213,BigDL,intel-analytics/BigDL,,distributed-ml,https://github.com/intel-analytics/BigDL,https://github.com/intel-analytics/BigDL,Apache-2.0,2016-08-29 07:59:50.000000,2022-01-13 15:10:46.000000,2022-01-13 06:13:13.000000,16548.0,516.0,957,248.0,2799.0,343.0,795.0,3822.0,Building Large-Scale AI Applications for Distributed Big Data.,129.0,31,True,2021-07-09 12:20:26.000000,0.13.0,101.0,bigdl,,,,,37.0,32.0,https://pypi.org/project/bigdl,2022-01-13 12:58:15.000000,1.0,5678.0,5678.0,,,,,,,,2.0,,,,,,,,,,,,,,,com.intel.analytics.bigdl:bigdl-SPARK_2.4,https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4,2021-04-20 01:33:14.000000,4.0,,,\n214,huey,coleifer/huey,,data-pipelines,https://github.com/coleifer/huey,https://github.com/coleifer/huey,MIT,2011-11-03 16:39:43.000000,2022-01-10 17:30:34.000000,2022-01-10 17:30:10.000000,934.0,10.0,329,81.0,159.0,,489.0,3791.0,a little task queue for python.,66.0,31,True,2021-12-28 18:36:38.000000,2.4.3,64.0,huey,conda-forge/huey,,,,1008.0,848.0,https://pypi.org/project/huey,2021-12-28 18:36:38.000000,160.0,45117.0,45623.0,https://anaconda.org/conda-forge/huey,2019-10-16 15:34:27.487000,22783.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n215,speechbrain,speechbrain/speechbrain,,audio,https://github.com/speechbrain/speechbrain,https://github.com/speechbrain/speechbrain,Apache-2.0,2020-04-28 17:48:45.000000,2022-01-13 03:24:27.000000,2022-01-11 14:46:55.000000,5940.0,571.0,637,105.0,645.0,110.0,449.0,3605.0,A PyTorch-based Speech Toolkit.,145.0,31,True,2021-12-20 04:22:27.000000,0.5.11,10.0,speechbrain,,,,['pytorch'],115.0,113.0,https://pypi.org/project/speechbrain,2021-12-20 04:23:25.000000,2.0,4843.0,4843.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n216,dyNET,clab/dynet,,ml-frameworks,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21.000000,2022-01-13 00:41:55.000000,2021-01-27 15:43:03.000000,3267.0,,703,191.0,728.0,259.0,659.0,3268.0,DyNet: The Dynamic Neural Network Toolkit.,156.0,31,True,2020-10-21 14:31:01.000000,2.1.2,24.0,dyNET,,,,,228.0,200.0,https://pypi.org/project/dyNET,2020-10-21 14:31:01.000000,28.0,15482.0,15552.0,,,,,,,,3.0,4421.0,,,,,,,,,,,,,,,,,,,,\n217,Dedupe,dedupeio/dedupe,,nlp,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36.000000,2022-01-09 02:43:21.000000,2022-01-09 02:43:16.000000,2858.0,16.0,453,131.0,264.0,66.0,605.0,3255.0,\"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.\",62.0,31,True,2021-04-17 00:35:34.000000,2.0.8,159.0,dedupe,,,,,254.0,207.0,https://pypi.org/project/dedupe,2021-04-17 00:35:34.000000,47.0,248577.0,248577.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n218,bqplot,bqplot/bqplot,,data-viz,https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18.000000,2022-01-11 13:29:04.000000,2022-01-07 12:45:26.000000,3445.0,23.0,457,108.0,882.0,222.0,354.0,3221.0,Plotting library for IPython/Jupyter notebooks.,55.0,31,True,2022-01-07 12:38:39.000000,0.12.32,99.0,bqplot,conda-forge/bqplot,,,['jupyter'],129.0,29.0,https://pypi.org/project/bqplot,2022-01-07 12:37:12.000000,90.0,46913.0,77764.0,https://anaconda.org/conda-forge/bqplot,2022-01-07 13:02:09.921000,912505.0,,,,,2.0,,,,bqplot,https://www.npmjs.com/package/bqplot,2022-01-07 12:35:41.247000,10.0,17432.0,,,,,,,,,,,,,\n219,Koalas,databricks/koalas,,data-containers,https://github.com/databricks/koalas,https://github.com/databricks/koalas,Apache-2.0,2019-01-03 21:46:54.000000,2021-10-26 06:53:37.000000,2021-10-21 22:12:35.000000,1547.0,4.0,322,224.0,1629.0,94.0,483.0,3054.0,Koalas: pandas API on Apache Spark.,51.0,31,True,2021-10-19 22:26:46.000000,1.8.2,47.0,koalas,conda-forge/koalas,,,\"['spark', 'pandas']\",173.0,166.0,https://pypi.org/project/koalas,2021-10-19 22:26:05.000000,7.0,2040163.0,2043657.0,https://anaconda.org/conda-forge/koalas,2021-10-20 00:43:43.868000,110904.0,,,,,2.0,998.0,,,,,,,,,,,,,,,,,,,,\n220,Blaze,blaze/blaze,,data-containers,https://github.com/blaze/blaze,https://github.com/blaze/blaze,BSD-3-Clause,2012-10-26 14:25:22.000000,2020-02-01 19:33:09.000000,2019-08-15 21:14:59.000000,7496.0,,381,200.0,942.0,263.0,500.0,3015.0,NumPy and Pandas interface to Big Data.,64.0,31,False,2016-07-19 20:40:03.000000,0.11.0,14.0,blaze,conda-forge/blaze,,,,8832.0,8014.0,https://pypi.org/project/blaze,2016-05-06 21:19:21.000000,818.0,11786.0,15472.0,https://anaconda.org/conda-forge/blaze,2018-07-15 22:16:17.685000,195364.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n221,plotnine,has2k1/plotnine,,data-viz,https://github.com/has2k1/plotnine,https://github.com/has2k1/plotnine,GPL-2.0,2017-04-24 19:00:44.000000,2022-01-10 12:11:50.000000,2022-01-07 11:52:10.000000,1713.0,10.0,150,67.0,93.0,75.0,384.0,2905.0,A grammar of graphics for Python.,89.0,31,False,2021-03-25 12:57:10.000000,0.8.0,11.0,plotnine,conda-forge/plotnine,,,,3024.0,2831.0,https://pypi.org/project/plotnine,2021-03-25 10:49:20.000000,193.0,181746.0,184319.0,https://anaconda.org/conda-forge/plotnine,2021-03-25 12:31:04.423000,144103.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n222,Captum,pytorch/captum,,interpretability,https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000000,2022-01-10 22:24:33.000000,2021-12-14 23:33:54.000000,883.0,15.0,303,194.0,533.0,78.0,247.0,2878.0,Model interpretability and understanding for PyTorch.,77.0,31,True,2021-11-02 21:47:58.000000,0.4.1,7.0,captum,,,,['pytorch'],380.0,363.0,https://pypi.org/project/captum,2021-11-02 02:41:19.000000,17.0,24994.0,24994.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n223,Catalyst,catalyst-team/catalyst,,ml-experiments,https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13.000000,2021-12-28 04:22:47.000000,2021-12-28 04:19:23.000000,1681.0,54.0,350,47.0,1057.0,6.0,324.0,2820.0,Accelerated deep learning R&D.,102.0,31,True,2021-12-28 04:11:48.000000,21.12,104.0,catalyst,,,,['pytorch'],485.0,456.0,https://pypi.org/project/catalyst,2021-12-28 04:12:33.000000,29.0,8936.0,8936.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n224,implicit,benfred/implicit,,recommender-systems,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000000,2022-01-13 02:00:42.000000,2022-01-12 18:18:39.000000,345.0,23.0,509,80.0,146.0,89.0,298.0,2588.0,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,30.0,31,True,2021-08-29 04:23:02.000000,0.4.8,38.0,implicit,conda-forge/implicit,,,,557.0,528.0,https://pypi.org/project/implicit,2021-08-29 04:23:02.000000,29.0,111287.0,118064.0,https://anaconda.org/conda-forge/implicit,2021-08-29 07:42:53.163000,325297.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n225,Core ML Tools,apple/coremltools,,model-serialisation,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000000,2022-01-10 21:40:35.000000,2022-01-10 21:40:35.000000,910.0,8.0,389,100.0,536.0,318.0,531.0,2507.0,\"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.\",117.0,31,True,2021-11-09 18:32:21.000000,5.1.0,35.0,coremltools,,,,,876.0,732.0,https://pypi.org/project/coremltools,2021-11-09 18:32:21.000000,144.0,95224.0,95298.0,,,,,,,,1.0,3859.0,,,,,,,,,,,,,,,,,,,,\n226,hmmlearn,hmmlearn/hmmlearn,,probabilistics,https://github.com/hmmlearn/hmmlearn,https://github.com/hmmlearn/hmmlearn,BSD-3-Clause,2014-03-23 10:33:09.000000,2022-01-13 15:56:54.000000,2022-01-13 15:56:40.000000,400.0,25.0,684,113.0,79.0,57.0,316.0,2407.0,\"Hidden Markov Models in Python, with scikit-learn like API.\",38.0,31,True,2021-07-18 14:01:41.000000,0.2.6,9.0,hmmlearn,conda-forge/hmmlearn,,,['sklearn'],1288.0,1162.0,https://pypi.org/project/hmmlearn,2021-07-18 14:01:41.000000,126.0,294745.0,297574.0,https://anaconda.org/conda-forge/hmmlearn,2021-11-13 15:23:53.699000,107522.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n227,filterpy,rlabbe/filterpy,,probabilistics,https://github.com/rlabbe/filterpy,https://github.com/rlabbe/filterpy,MIT,2014-07-15 02:15:19.000000,2021-12-27 15:31:49.000000,2021-05-04 18:33:52.000000,542.0,,476,73.0,68.0,47.0,154.0,2081.0,\"Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman..\",36.0,31,True,2018-10-10 22:38:24.000000,1.4.5,49.0,filterpy,conda-forge/filterpy,,,,1303.0,1177.0,https://pypi.org/project/filterpy,2018-10-10 22:38:24.000000,126.0,629835.0,631125.0,https://anaconda.org/conda-forge/filterpy,2020-05-05 21:13:59.073000,70990.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n228,hdbscan,scikit-learn-contrib/hdbscan,,others,https://github.com/scikit-learn-contrib/hdbscan,https://github.com/scikit-learn-contrib/hdbscan,BSD-3-Clause,2015-04-22 13:32:37.000000,2022-01-12 15:23:49.000000,2022-01-12 15:23:49.000000,935.0,19.0,369,56.0,113.0,254.0,152.0,2053.0,A high performance implementation of HDBSCAN clustering.,76.0,31,True,2021-02-03 20:21:02.000000,0.8.27,43.0,hdbscan,conda-forge/hdbscan,,,['sklearn'],1300.0,1158.0,https://pypi.org/project/hdbscan,2021-02-03 20:21:02.000000,142.0,298397.0,313476.0,https://anaconda.org/conda-forge/hdbscan,2021-02-14 03:07:15.749000,995218.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n229,tslearn,tslearn-team/tslearn,,time-series-data,https://github.com/tslearn-team/tslearn,https://github.com/tslearn-team/tslearn,BSD-2-Clause,2017-05-04 13:08:13.000000,2021-12-20 11:06:19.000000,2021-12-06 15:56:44.000000,1581.0,5.0,252,56.0,127.0,70.0,178.0,1968.0,A machine learning toolkit dedicated to time-series data.,36.0,31,True,2021-08-16 07:09:52.000000,0.5.2,94.0,tslearn,conda-forge/tslearn,,,['sklearn'],394.0,375.0,https://pypi.org/project/tslearn,2021-08-16 07:29:50.000000,19.0,70640.0,75974.0,https://anaconda.org/conda-forge/tslearn,2021-08-16 11:07:26.939000,245405.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n230,aim,aimhubio/aim,,ml-experiments,https://github.com/aimhubio/aim,https://github.com/aimhubio/aim,Apache-2.0,2019-05-31 18:25:07.000000,2022-01-13 14:31:30.000000,2022-01-13 10:05:55.000000,1246.0,246.0,110,27.0,899.0,110.0,187.0,1946.0,Aim an easy-to-use and performant open-source experiment tracker.,25.0,31,True,2022-01-10 12:46:39.000000,3.3.4,113.0,aim,,,,,51.0,49.0,https://pypi.org/project/aim,2022-01-10 12:46:39.000000,2.0,8460.0,8460.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n231,textacy,chartbeat-labs/textacy,,nlp,https://github.com/chartbeat-labs/textacy,https://github.com/chartbeat-labs/textacy,Apache-2.0,2016-02-03 16:52:45.000000,2021-12-06 15:00:07.000000,2021-12-06 14:45:21.000000,1714.0,101.0,232,91.0,108.0,26.0,219.0,1858.0,\"NLP, before and after spaCy.\",31.0,31,True,2021-12-06 15:00:07.000000,0.12.0,31.0,textacy,conda-forge/textacy,,,,100.0,,https://pypi.org/project/textacy,2021-12-06 15:00:07.000000,100.0,25146.0,26970.0,https://anaconda.org/conda-forge/textacy,2021-04-13 18:57:20.207000,102150.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n232,Lifelines,CamDavidsonPilon/lifelines,,medical-data,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42.000000,2022-01-07 17:06:30.000000,2021-11-30 19:30:36.000000,2154.0,6.0,449,65.0,446.0,218.0,621.0,1782.0,Survival analysis in Python.,98.0,31,True,2021-11-30 20:20:36.000000,0.26.4,160.0,lifelines,conda-forge/lifelines,,,,844.0,746.0,https://pypi.org/project/lifelines,2021-11-30 20:20:36.000000,98.0,306327.0,308989.0,https://anaconda.org/conda-forge/lifelines,2021-12-01 02:47:32.482000,178400.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n233,Pillow-SIMD,uploadcare/pillow-simd,,image,https://github.com/uploadcare/pillow-simd,https://github.com/uploadcare/pillow-simd,PIL,2014-11-12 15:33:02.000000,2022-01-05 01:05:41.000000,2022-01-04 16:10:00.000000,12560.0,358.0,75,40.0,39.0,9.0,62.0,1716.0,The friendly PIL fork.,383.0,31,False,2022-01-02 09:51:23.000000,9.0.0,47.0,pillow-simd,,,,,49.0,,https://pypi.org/project/pillow-simd,2022-01-04 16:11:51.000000,49.0,50378.0,50378.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n234,Pythran,serge-sans-paille/pythran,,others,https://github.com/serge-sans-paille/pythran,https://github.com/serge-sans-paille/pythran,BSD-3-Clause,2012-05-29 08:02:14.000000,2022-01-11 18:48:20.000000,2022-01-11 18:48:20.000000,3498.0,38.0,166,55.0,1222.0,113.0,630.0,1673.0,Ahead of Time compiler for numeric kernels.,64.0,31,True,2021-12-14 08:16:44.000000,0.11.0,52.0,pythran,conda-forge/pythran,,,,107.0,93.0,https://pypi.org/project/pythran,2021-12-14 08:16:44.000000,14.0,254348.0,259224.0,https://anaconda.org/conda-forge/pythran,2021-12-14 10:56:04.258000,214586.0,,,,,2.0,,,,,,,,,,,,,,,,,,,pythran,python-pythran,\n235,jellyfish,jamesturk/jellyfish,,nlp,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,BSD-2-Clause,2010-07-09 20:41:11.000000,2022-01-09 18:22:30.772000,2022-01-07 20:13:06.000000,422.0,27.0,148,42.0,51.0,8.0,99.0,1603.0,a python library for doing approximate and phonetic matching of strings.,25.0,31,True,2022-01-07 20:20:43.000000,0.9.0,32.0,jellyfish,conda-forge/jellyfish,,,,3518.0,3120.0,https://pypi.org/project/jellyfish,2022-01-07 20:20:43.000000,398.0,1649471.0,1652058.0,https://anaconda.org/conda-forge/jellyfish,2022-01-09 18:22:30.772000,165569.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n236,mleap,combust/mleap,,data-pipelines,https://github.com/combust/mleap,https://github.com/combust/mleap,Apache-2.0,2016-08-23 03:51:03.000000,2022-01-12 12:53:12.772000,2022-01-12 10:26:19.000000,937.0,13.0,290,75.0,363.0,90.0,350.0,1346.0,MLeap: Deploy ML Pipelines to Production.,71.0,31,True,2022-01-12 10:21:57.000000,0.19.0,9.0,mleap,conda-forge/mleap,,,,199.0,174.0,https://pypi.org/project/mleap,2022-01-12 10:21:57.000000,25.0,199936.0,201224.0,https://anaconda.org/conda-forge/mleap,2022-01-12 12:53:12.772000,42534.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n237,TF Model Optimization,tensorflow/model-optimization,,tensorflow-utils,https://github.com/tensorflow/model-optimization,https://github.com/tensorflow/model-optimization,Apache-2.0,2018-10-31 20:34:28.000000,2022-01-13 15:54:18.000000,2022-01-13 15:54:14.000000,705.0,31.0,254,127.0,646.0,135.0,147.0,1182.0,\"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.\",64.0,31,True,2021-09-30 10:12:08.000000,0.7.0,24.0,tensorflow-model-optimization,,,,['tensorflow'],1448.0,1435.0,https://pypi.org/project/tensorflow-model-optimization,2021-09-30 10:05:24.000000,13.0,146898.0,146898.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n238,tensorly,tensorly/tensorly,,others,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52.000000,2022-01-11 23:12:50.000000,2021-12-22 11:36:03.000000,1336.0,48.0,223,37.0,175.0,45.0,131.0,1166.0,TensorLy: Tensor Learning in Python.,49.0,31,True,2021-11-08 13:38:03.000000,0.7.0,18.0,tensorly,conda-forge/tensorly,,,,235.0,205.0,https://pypi.org/project/tensorly,2021-11-08 13:38:03.000000,30.0,5144.0,9605.0,https://anaconda.org/conda-forge/tensorly,2021-12-09 16:07:42.501000,196312.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n239,pmdarima,alkaline-ml/pmdarima,,time-series-data,https://github.com/alkaline-ml/pmdarima,https://github.com/alkaline-ml/pmdarima,MIT,2017-03-30 14:58:30.000000,2022-01-04 15:33:24.000000,2022-01-04 15:25:50.000000,1046.0,5.0,189,32.0,213.0,22.0,241.0,1097.0,\"A statistical library designed to fill the void in Pythons time series analysis capabilities, including the equivalent..\",19.0,31,True,2021-11-05 12:39:58.000000,1.8.4,36.0,pmdarima,,,,,1698.0,1654.0,https://pypi.org/project/pmdarima,2021-11-05 12:39:58.000000,44.0,926888.0,926888.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n240,PyVista,pyvista/pyvista,,data-viz,https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000000,2022-01-11 14:06:19.759000,2022-01-11 06:06:14.000000,2452.0,83.0,207,27.0,1083.0,178.0,484.0,1073.0,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,68.0,31,True,2022-01-11 06:33:57.000000,0.33.2,54.0,pyvista,conda-forge/pyvista,,,['jupyter'],645.0,560.0,https://pypi.org/project/pyvista,2022-01-11 06:33:57.000000,85.0,31837.0,36124.0,https://anaconda.org/conda-forge/pyvista,2022-01-11 14:06:19.759000,136968.0,,,,,2.0,387.0,,,,,,,,,,,,,,,,,,,,\n241,cartopy,SciTools/cartopy,,data-viz,https://github.com/SciTools/cartopy,https://github.com/SciTools/cartopy,LGPL-3.0,2012-08-03 07:43:59.000000,2022-01-13 08:33:05.489000,2021-12-24 23:27:20.000000,2572.0,36.0,302,57.0,959.0,303.0,756.0,984.0,Cartopy - a cartographic python library with matplotlib support.,106.0,31,False,2022-01-13 02:45:47.000000,0.20.2,25.0,cartopy,conda-forge/cartopy,,,,2396.0,2093.0,https://pypi.org/project/cartopy,2022-01-13 02:48:14.000000,303.0,101187.0,128372.0,https://anaconda.org/conda-forge/cartopy,2022-01-13 08:33:05.489000,1902990.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n242,FiftyOne,voxel51/fiftyone,,data-viz,https://github.com/voxel51/fiftyone,https://github.com/voxel51/fiftyone,Apache-2.0,2020-04-22 13:43:28.000000,2022-01-13 15:50:54.000000,2022-01-13 15:49:47.000000,12166.0,554.0,108,22.0,906.0,200.0,449.0,927.0,\"Visualize, create, and debug image and video datasets and model predictions.\",22.0,31,True,2022-01-13 15:36:10.000000,0.14.3,66.0,fiftyone,,,,\"['tensorflow', 'pytorch', 'jupyter']\",72.0,71.0,https://pypi.org/project/fiftyone,2022-01-13 15:36:10.000000,1.0,17533.0,17533.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n243,igraph,igraph/python-igraph,,graph,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16.000000,2022-01-13 14:14:05.000000,2022-01-12 13:30:12.000000,1854.0,50.0,211,34.0,130.0,37.0,328.0,916.0,Python interface for igraph.,56.0,31,False,2022-01-10 14:51:15.000000,0.9.9,27.0,python-igraph,conda-forge/igraph,,,,789.0,419.0,https://pypi.org/project/python-igraph,2022-01-10 14:51:15.000000,370.0,232851.0,242445.0,https://anaconda.org/conda-forge/igraph,2022-01-11 11:59:41.931000,265170.0,,,,,1.0,315688.0,,,,,,,,,,,,,,,,,,,,\n244,Bottleneck,pydata/bottleneck,,data-containers,https://github.com/pydata/bottleneck,https://github.com/pydata/bottleneck,BSD-2-Clause,2010-11-27 23:21:22.000000,2021-12-31 19:26:29.000000,2021-01-24 18:39:03.000000,1241.0,,75,26.0,177.0,37.0,179.0,694.0,Fast NumPy array functions written in C.,21.0,31,True,2020-02-21 06:22:16.000000,1.3.2,21.0,Bottleneck,conda-forge/bottleneck,,,,31114.0,29558.0,https://pypi.org/project/Bottleneck,2020-02-21 06:22:16.000000,1556.0,410047.0,436869.0,https://anaconda.org/conda-forge/bottleneck,2021-11-04 11:55:30.352000,1823930.0,,,,,2.0,,,-1.0,,,,,,,,,,,,,,,,,,\n245,DIPY,dipy/dipy,,medical-data,https://github.com/dipy/dipy,https://github.com/dipy/dipy,BSD-3-Clause,2010-02-06 11:43:08.000000,2022-01-07 20:06:54.000000,2021-12-03 03:48:36.000000,11739.0,65.0,331,51.0,1708.0,123.0,637.0,484.0,\"DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal..\",128.0,31,True,2021-05-06 04:40:48.000000,1.4.1,23.0,dipy,conda-forge/dipy,,,,566.0,486.0,https://pypi.org/project/dipy,2021-05-06 04:40:48.000000,80.0,7286.0,11356.0,https://anaconda.org/conda-forge/dipy,2021-05-06 13:36:55.402000,276815.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n246,NiBabel,nipy/nibabel,,medical-data,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30.000000,2021-11-19 13:45:46.000000,2021-09-30 22:21:56.000000,5065.0,,223,39.0,654.0,128.0,309.0,455.0,Python package to access a cacophony of neuro-imaging file formats.,93.0,31,True,2020-11-28 22:19:50.000000,3.2.1,32.0,nibabel,conda-forge/nibabel,,,,7024.0,6068.0,https://pypi.org/project/nibabel,2020-11-28 22:18:23.000000,956.0,137720.0,143668.0,https://anaconda.org/conda-forge/nibabel,2020-11-29 03:40:05.178000,404528.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n247,datalad,datalad/datalad,,others,https://github.com/datalad/datalad,https://github.com/datalad/datalad,MIT,2013-11-01 19:40:08.000000,2022-01-13 06:05:34.000000,2022-01-07 14:41:59.000000,14989.0,444.0,87,25.0,2947.0,496.0,2836.0,273.0,\"Keep code, data, containers under control with git and git-annex.\",46.0,31,False,2021-12-16 01:42:11.000000,0.15.4,77.0,datalad,conda-forge/datalad,,,,48.0,,https://pypi.org/project/datalad,2021-12-16 01:42:11.000000,48.0,3987.0,7971.0,https://anaconda.org/conda-forge/datalad,2022-01-10 19:42:09.272000,183295.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n248,baselines,openai/baselines,,reinforcement-learning,https://github.com/openai/baselines,https://github.com/openai/baselines,MIT,2017-05-24 01:58:13.000000,2021-12-03 07:10:56.000000,2020-01-31 13:06:18.000000,347.0,,4144,578.0,367.0,472.0,430.0,12233.0,OpenAI Baselines: high-quality implementations of reinforcement learning algorithms.,114.0,30,False,2018-02-26 17:07:07.000000,0.1.5,6.0,baselines,,,,,399.0,360.0,https://pypi.org/project/baselines,2018-02-26 17:07:07.000000,39.0,2020.0,2020.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n249,pretrainedmodels,Cadene/pretrained-models.pytorch,,pytorch-utils,https://github.com/Cadene/pretrained-models.pytorch,https://github.com/Cadene/pretrained-models.pytorch,BSD-3-Clause,2017-04-09 15:54:23.000000,2021-07-29 10:41:37.000000,2020-04-16 08:02:22.000000,154.0,,1755,226.0,45.0,92.0,92.0,8362.0,\"Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.\",22.0,30,False,2018-10-29 08:18:45.000000,0.7.4,16.0,pretrainedmodels,,,,['pytorch'],1445.0,1365.0,https://pypi.org/project/pretrainedmodels,2018-10-29 08:18:45.000000,80.0,54189.0,54189.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n250,Qlib,microsoft/qlib,,financial-data,https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000000,2022-01-13 13:37:42.000000,2022-01-13 07:29:43.000000,1620.0,112.0,1284,212.0,425.0,139.0,284.0,7805.0,\"Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research,..\",78.0,30,True,2021-12-07 23:37:07.000000,0.8.0,21.0,pyqlib,,,,['pytorch'],9.0,9.0,https://pypi.org/project/pyqlib,2021-12-07 23:37:07.000000,,3005.0,3021.0,,,,,,,,1.0,269.0,,,,,,,,,,,,,,,,,,,,\n251,Vaex,vaexio/vaex,,data-containers,https://github.com/vaexio/vaex,https://github.com/vaexio/vaex,MIT,2014-09-27 09:44:42.000000,2022-01-13 14:46:47.000000,2022-01-13 09:50:15.000000,3378.0,106.0,530,142.0,808.0,357.0,615.0,6844.0,\"Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a..\",62.0,30,True,2021-12-18 13:46:32.000000,4.7.0,57.0,vaex,conda-forge/vaex,,,,16.0,,https://pypi.org/project/vaex,2021-12-18 13:46:32.000000,16.0,15718.0,17634.0,https://anaconda.org/conda-forge/vaex,2021-12-30 12:48:14.043000,120627.0,,,,,3.0,221.0,,,,,,,,,,,,,,,,,,,,\n252,imageai,OlafenwaMoses/ImageAI,,image,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33.000000,2022-01-13 01:19:07.000000,2021-05-08 20:05:36.000000,292.0,,1861,276.0,65.0,250.0,424.0,6785.0,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,15.0,30,True,2021-01-05 01:26:01.000000,2.1.6,10.0,imageai,,,,,1036.0,1020.0,https://pypi.org/project/imageai,2021-01-05 01:26:01.000000,16.0,7751.0,23191.0,,,,,,,,2.0,694824.0,,,,,,,,,,,,,,,,,,,,\n253,DeepSpeed,microsoft/DeepSpeed,,distributed-ml,https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,MIT,2020-01-23 18:35:18.000000,2022-01-12 19:27:15.000000,2022-01-12 17:51:28.000000,838.0,115.0,656,122.0,899.0,372.0,386.0,6105.0,\"DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.\",87.0,30,True,2022-01-04 23:00:02.000000,0.5.9,40.0,deepspeed,,deepspeed/deepspeed,,['pytorch'],147.0,138.0,https://pypi.org/project/deepspeed,2022-01-04 22:59:09.000000,9.0,43198.0,43721.0,,,,https://hub.docker.com/r/deepspeed/deepspeed,2021-05-05 21:39:11.981563,3.0,12568.0,2.0,,,,,,,,,,,,,,,,,,,,,\n254,SpeechRecognition,Uberi/speech_recognition,,audio,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54.000000,2021-12-14 05:54:09.000000,2021-12-14 05:54:08.000000,361.0,1.0,1995,283.0,96.0,234.0,279.0,6025.0,\"Speech recognition module for Python, supporting several engines and APIs, online and offline.\",41.0,30,True,2017-12-05 14:05:14.000000,3.8.1,52.0,SpeechRecognition,conda-forge/speechrecognition,,,,674.0,,https://pypi.org/project/SpeechRecognition,2017-12-05 13:58:29.000000,674.0,245137.0,247167.0,https://anaconda.org/conda-forge/speechrecognition,2021-12-13 09:59:53.408000,131952.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n255,OCRmyPDF,jbarlow83/OCRmyPDF,,ocr,https://github.com/ocrmypdf/OCRmyPDF,https://github.com/ocrmypdf/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000000,2022-01-04 19:43:39.000000,2022-01-04 19:43:28.000000,3142.0,79.0,523,118.0,99.0,89.0,705.0,5760.0,\"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.\",60.0,30,True,2021-12-19 23:13:40.000000,13.2.0,190.0,ocrmypdf,,,,,12.0,,https://pypi.org/project/ocrmypdf,2021-12-19 23:13:40.000000,12.0,20298.0,20298.0,,,,,,,,2.0,,,,,,,,,,ocrmypdf/OCRmyPDF,ocrmypdf,ocrmypdf,,,,,,,,,\n256,pyAudioAnalysis,tyiannak/pyAudioAnalysis,,audio,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13.000000,2022-01-10 13:57:19.000000,2022-01-09 23:32:22.000000,733.0,37.0,1065,203.0,86.0,174.0,114.0,4536.0,\"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.\",26.0,30,True,2022-01-10 13:57:19.000000,0.3.10,19.0,pyAudioAnalysis,,,,,267.0,248.0,https://pypi.org/project/pyAudioAnalysis,2022-01-10 13:57:19.000000,19.0,13954.0,13954.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n257,cuDF,rapidsai/cudf,,gpu-utilities,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000000,2022-01-13 15:39:37.000000,2022-01-13 14:11:42.000000,34545.0,344.0,581,143.0,5768.0,695.0,3631.0,4414.0,cuDF - GPU DataFrame Library.,227.0,30,True,2021-12-16 18:48:18.000000,21.12.02,21.0,cudf,,,,,3.0,,https://pypi.org/project/cudf,2020-06-01 20:07:47.000000,3.0,769.0,769.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n258,pyfolio,quantopian/pyfolio,,financial-data,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39.000000,2021-12-26 17:08:51.000000,2020-07-15 13:46:58.000000,1184.0,,1282,306.0,290.0,134.0,265.0,4209.0,Portfolio and risk analytics in Python.,55.0,30,False,2019-04-15 15:00:21.000000,0.9.2,22.0,pyfolio,conda-forge/pyfolio,,,,383.0,351.0,https://pypi.org/project/pyfolio,2019-04-15 15:00:21.000000,32.0,5962.0,6129.0,https://anaconda.org/conda-forge/pyfolio,2020-05-16 14:11:57.267000,7858.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n259,polars,pola-rs/polars,,data-containers,https://github.com/pola-rs/polars,https://github.com/pola-rs/polars,MIT,2020-05-13 19:45:33.000000,2022-01-13 14:01:33.000000,2022-01-12 23:44:17.000000,2967.0,629.0,233,61.0,1437.0,85.0,787.0,4188.0,Fast multi-threaded DataFrame library in Rust | Python | Node.js.,65.0,30,True,2022-01-10 10:01:57.000000,0.12.10,127.0,polars,,,,,8.0,,https://pypi.org/project/polars,2022-01-10 10:01:57.000000,8.0,34476.0,34476.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n260,einops,arogozhnikov/einops,,ml-frameworks,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08.000000,2022-01-10 01:16:27.000000,2022-01-10 01:16:27.000000,383.0,8.0,165,53.0,54.0,30.0,61.0,4129.0,\"Deep learning operations reinvented (for pytorch, tensorflow, jax and others).\",14.0,30,True,2021-08-31 22:49:08.000000,0.3.2,5.0,einops,conda-forge/einops,,,,1911.0,1755.0,https://pypi.org/project/einops,2021-08-31 21:29:29.000000,156.0,575178.0,575523.0,https://anaconda.org/conda-forge/einops,2021-08-31 23:13:47.214000,9680.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n261,AutoGluon,awslabs/autogluon,,hyperopt,https://github.com/awslabs/autogluon,https://github.com/awslabs/autogluon,Apache-2.0,2019-07-29 18:51:24.000000,2022-01-13 09:04:35.000000,2022-01-13 00:16:12.000000,752.0,70.0,536,80.0,829.0,133.0,463.0,4035.0,\"AutoGluon: AutoML for Text, Image, and Tabular Data.\",64.0,30,True,2021-08-31 20:48:52.000000,0.3.1,661.0,autogluon,,,,['mxnet'],93.0,89.0,https://pypi.org/project/autogluon,2022-01-13 09:04:35.000000,4.0,20350.0,20350.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n262,imutils,jrosebr1/imutils,,image,https://github.com/PyImageSearch/imutils,https://github.com/PyImageSearch/imutils,MIT,2015-01-11 20:05:39.000000,2022-01-07 16:30:16.000000,2021-01-15 10:46:45.000000,138.0,,936,151.0,103.0,83.0,76.0,3933.0,\"A series of convenience functions to make basic image processing operations such as translation, rotation, resizing,..\",20.0,30,True,2021-01-15 10:53:17.000000,0.5.4,29.0,imutils,conda-forge/imutils,,,,22757.0,22002.0,https://pypi.org/project/imutils,2021-01-15 10:53:17.000000,755.0,344830.0,347247.0,https://anaconda.org/conda-forge/imutils,2021-12-09 01:25:49.387000,74952.0,,,,,2.0,,,,,,,,,,PyImageSearch/imutils,,,,,,,,,,,\n263,PaddleSeg,PaddlePaddle/PaddleSeg,,image,https://github.com/PaddlePaddle/PaddleSeg,https://github.com/PaddlePaddle/PaddleSeg,Apache-2.0,2019-08-26 02:32:22.000000,2022-01-13 09:35:18.000000,2022-01-05 14:21:13.000000,2003.0,50.0,785,53.0,866.0,417.0,428.0,3542.0,\"Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in..\",60.0,30,True,2021-10-13 06:47:17.000000,2.3.0,13.0,paddleseg,,,,['paddle'],446.0,444.0,https://pypi.org/project/paddleseg,2021-10-13 06:47:17.000000,2.0,1069.0,1069.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n264,nevergrad,facebookresearch/nevergrad,,hyperopt,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000000,2022-01-13 12:32:36.000000,2022-01-13 12:32:30.000000,945.0,44.0,299,66.0,1121.0,97.0,152.0,3202.0,A Python toolbox for performing gradient-free optimization.,46.0,30,True,2021-01-28 12:05:40.000000,0.4.3,34.0,nevergrad,conda-forge/nevergrad,,,,291.0,274.0,https://pypi.org/project/nevergrad,2021-11-10 18:52:59.000000,17.0,16114.0,17089.0,https://anaconda.org/conda-forge/nevergrad,2021-06-14 12:44:22.518000,20486.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n265,deepface,serengil/deepface,,image,https://github.com/serengil/deepface,https://github.com/serengil/deepface,MIT,2020-02-08 20:42:28.000000,2022-01-13 11:48:00.000000,2022-01-13 11:48:00.000000,702.0,70.0,686,69.0,27.0,4.0,372.0,3012.0,\"A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python.\",20.0,30,True,2022-01-12 10:39:32.000000,0.0.72,71.0,deepface,,,,,369.0,366.0,https://pypi.org/project/deepface,2022-01-12 10:39:32.000000,3.0,37995.0,37995.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n266,nlpaug,makcedward/nlpaug,,nlp,https://github.com/makcedward/nlpaug,https://github.com/makcedward/nlpaug,MIT,2019-03-21 03:00:17.000000,2022-01-04 22:17:45.000000,2022-01-04 22:17:09.000000,710.0,49.0,321,35.0,107.0,23.0,138.0,2842.0,Data augmentation for NLP.,26.0,30,True,2021-12-25 02:49:58.000000,1.1.10,36.0,nlpaug,,,,,245.0,231.0,https://pypi.org/project/nlpaug,2021-12-23 17:35:56.000000,14.0,30307.0,30307.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n267,pomegranate,jmschrei/pomegranate,,probabilistics,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000000,2022-01-04 19:13:10.000000,2021-11-20 02:50:26.000000,930.0,30.0,507,102.0,315.0,59.0,607.0,2804.0,\"Fast, flexible and easy to use probabilistic modelling in Python.\",65.0,30,True,2021-11-19 21:46:05.000000,0.14.7,67.0,pomegranate,conda-forge/pomegranate,,,,651.0,607.0,https://pypi.org/project/pomegranate,2021-11-19 21:46:05.000000,44.0,33176.0,35786.0,https://anaconda.org/conda-forge/pomegranate,2021-11-16 01:22:35.020000,78325.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n268,ta,bukosabino/ta,,financial-data,https://github.com/bukosabino/ta,https://github.com/bukosabino/ta,MIT,2018-01-02 18:08:48.000000,2022-01-09 21:07:25.000000,2022-01-09 21:06:11.000000,598.0,16.0,654,124.0,96.0,109.0,93.0,2719.0,Technical Analysis Library using Pandas and Numpy.,24.0,30,True,2022-01-09 21:07:25.000000,0.9.0,52.0,ta,,,,,964.0,937.0,https://pypi.org/project/ta,2022-01-09 21:07:25.000000,27.0,51979.0,51979.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n269,datashader,holoviz/datashader,,data-viz,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000000,2021-12-25 17:43:23.000000,2021-12-25 17:20:24.000000,1300.0,4.0,328,89.0,549.0,129.0,354.0,2686.0,Quickly and accurately render even the largest data.,45.0,30,True,2021-06-09 23:30:20.000000,0.13.0,24.0,datashader,conda-forge/datashader,,,,1003.0,929.0,https://pypi.org/project/datashader,2021-06-09 22:59:52.000000,74.0,46179.0,51253.0,https://anaconda.org/conda-forge/datashader,2021-06-10 09:04:19.929000,253738.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n270,NMSLIB,nmslib/nmslib,,nn-search,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06.000000,2021-11-22 21:32:33.032000,2021-09-19 04:51:57.000000,1511.0,,371,99.0,119.0,60.0,331.0,2669.0,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,45.0,30,True,2021-02-03 16:40:09.000000,2.1.1,32.0,nmslib,conda-forge/nmslib,,,,573.0,526.0,https://pypi.org/project/nmslib,2021-02-03 00:02:08.000000,47.0,91663.0,93878.0,https://anaconda.org/conda-forge/nmslib,2021-11-22 21:32:33.032000,46525.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n271,Neural Network Libraries,sony/nnabla,,ml-frameworks,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10.000000,2022-01-11 11:33:04.000000,2022-01-11 10:07:02.000000,2957.0,94.0,313,165.0,955.0,32.0,44.0,2516.0,Neural Network Libraries.,64.0,30,True,2021-12-27 03:07:05.000000,1.24.0,61.0,nnabla,,,,,51.0,,https://pypi.org/project/nnabla,2021-12-23 06:28:19.000000,51.0,3943.0,3952.0,,,,,,,,3.0,533.0,,,,,,,,,,,,,,,,,,,,\n272,Cufflinks,santosjorge/cufflinks,,data-viz,https://github.com/santosjorge/cufflinks,https://github.com/santosjorge/cufflinks,MIT,2014-11-19 20:59:33.000000,2021-12-15 15:49:58.297000,2021-02-25 05:05:09.000000,452.0,,585,105.0,72.0,92.0,123.0,2451.0,Productivity Tools for Plotly + Pandas.,38.0,30,True,2020-03-01 17:42:01.000000,0.17.3,28.0,cufflinks,,,,['pandas'],5147.0,4989.0,https://pypi.org/project/cufflinks,2021-12-15 15:49:58.297000,158.0,225607.0,225607.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n273,TorchServe,pytorch/serve,,model-serialisation,https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000000,2022-01-13 04:30:19.000000,2022-01-07 21:30:19.000000,2485.0,349.0,430,49.0,645.0,128.0,643.0,2379.0,Model Serving on PyTorch.,95.0,30,True,2021-12-29 21:45:21.000000,0.5.2,13.0,torchserve,pytorch/torchserve,pytorch/torchserve,,['pytorch'],8.0,,https://pypi.org/project/torchserve,2021-12-29 21:04:22.000000,8.0,9213.0,45593.0,https://anaconda.org/pytorch/torchserve,2021-12-29 21:04:49.234000,18016.0,https://hub.docker.com/r/pytorch/torchserve,2021-12-29 21:11:42.894442,11.0,958135.0,2.0,790.0,,,,,,,,,,,,,,,,,,,,\n274,ImageHash,JohannesBuchner/imagehash,,image,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48.000000,2022-01-04 14:27:58.000000,2021-09-07 19:15:32.000000,209.0,,282,66.0,52.0,13.0,92.0,2238.0,A Python Perceptual Image Hashing Module.,20.0,30,True,2021-07-15 12:35:01.000000,4.2.1,18.0,ImageHash,conda-forge/imagehash,,,,4374.0,4059.0,https://pypi.org/project/ImageHash,2021-07-15 12:35:01.000000,315.0,1061905.0,1064553.0,https://anaconda.org/conda-forge/imagehash,2021-07-15 15:00:27.543000,164235.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n275,hnswlib,nmslib/hnswlib,,nn-search,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000000,2022-01-06 16:02:05.000000,2021-12-09 22:20:16.000000,347.0,12.0,348,59.0,136.0,119.0,119.0,1845.0,Header-only C++/python library for fast approximate nearest neighbors.,52.0,30,True,2021-12-28 03:40:23.000000,0.6.0,7.0,hnswlib,,,,,202.0,182.0,https://pypi.org/project/hnswlib,2021-12-28 03:40:23.000000,20.0,107623.0,107623.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n276,TextAttack,QData/TextAttack,,adversarial,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000000,2021-12-16 02:24:09.000000,2021-12-16 02:24:09.000000,2403.0,133.0,215,31.0,424.0,39.0,151.0,1800.0,\"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP..\",46.0,30,True,2021-11-10 01:36:28.000000,0.3.4,42.0,textattack,,,,,54.0,51.0,https://pypi.org/project/textattack,2021-11-10 01:36:28.000000,3.0,6618.0,6618.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n277,TFX,tensorflow/tfx,,data-pipelines,https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000000,2022-01-13 11:17:37.000000,2022-01-13 11:17:32.000000,4026.0,121.0,521,90.0,3857.0,249.0,480.0,1675.0,TFX is an end-to-end platform for deploying production ML pipelines.,127.0,30,True,2021-12-14 20:33:12.000000,1.5.0,68.0,tfx,,,,['tensorflow'],5.0,,https://pypi.org/project/tfx,2021-12-14 20:33:12.000000,5.0,343255.0,343255.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n278,GPflow,GPflow/GPflow,,probabilistics,https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000000,2022-01-07 14:11:27.000000,2022-01-05 11:07:06.000000,2258.0,15.0,411,77.0,1018.0,119.0,622.0,1561.0,Gaussian processes in TensorFlow.,72.0,30,True,2021-10-26 09:45:06.000000,2.3.0,32.0,gpflow,conda-forge/gpflow,,,['tensorflow'],347.0,319.0,https://pypi.org/project/gpflow,2021-10-26 09:45:06.000000,28.0,7197.0,7420.0,https://anaconda.org/conda-forge/gpflow,2018-11-06 08:51:39.744000,9844.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n279,pyLDAvis,bmabey/pyLDAvis,,interpretability,https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03.000000,2021-11-22 20:42:31.000000,2021-03-24 13:03:31.000000,240.0,,320,56.0,63.0,86.0,77.0,1556.0,Python library for interactive topic model visualization. Port of the R LDAvis package.,32.0,30,True,2021-03-24 13:05:21.000000,3.3.1,24.0,pyldavis,conda-forge/pyldavis,,,['jupyter'],3110.0,2980.0,https://pypi.org/project/pyldavis,2021-03-24 12:57:08.000000,130.0,466497.0,467266.0,https://anaconda.org/conda-forge/pyldavis,2021-03-24 15:17:07.309000,33068.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n280,PyCUDA,inducer/pycuda,,gpu-utilities,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000000,2022-01-11 14:17:15.000000,2022-01-11 14:17:08.000000,1513.0,5.0,246,53.0,116.0,65.0,153.0,1256.0,\"CUDA integration for Python, plus shiny features.\",74.0,30,True,2019-08-12 04:15:37.000000,2019.1.2,47.0,pycuda,,,,,1312.0,1122.0,https://pypi.org/project/pycuda,2021-04-03 22:28:54.000000,190.0,33090.0,33090.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n281,Model Analysis,tensorflow/model-analysis,,interpretability,https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000000,2022-01-12 04:01:37.000000,2022-01-12 04:01:35.000000,1085.0,40.0,238,70.0,87.0,25.0,47.0,1137.0,Model analysis tools for TensorFlow.,36.0,30,True,2021-12-02 04:44:01.000000,0.36.0,46.0,tensorflow-model-analysis,,,,\"['tensorflow', 'jupyter']\",21.0,,https://pypi.org/project/tensorflow-model-analysis,2021-12-02 04:44:01.000000,21.0,6454536.0,6454536.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n282,PennyLane,PennyLaneAI/PennyLane,,others,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000000,2022-01-13 16:34:21.000000,2022-01-13 15:45:12.000000,2305.0,165.0,327,53.0,1540.0,154.0,447.0,1129.0,PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum..,86.0,30,True,2021-12-14 07:48:23.000000,0.20.0,30.0,pennylane,,,,,28.0,,https://pypi.org/project/pennylane,2021-12-14 07:48:23.000000,28.0,8556.0,8557.0,,,,,,,,2.0,59.0,,,,,,,,,,,,,,,,,,,,\n283,agate,wireservice/agate,,others,https://github.com/wireservice/agate,https://github.com/wireservice/agate,MIT,2014-04-25 13:59:09.000000,2021-12-15 16:39:08.973000,2021-07-15 17:22:49.000000,1466.0,,134,42.0,124.0,54.0,630.0,1074.0,A Python data analysis library that is optimized for humans instead of machines.,49.0,30,True,2021-07-15 16:32:29.000000,1.6.3,26.0,agate,conda-forge/agate,,,,855.0,722.0,https://pypi.org/project/agate,2021-07-15 16:32:29.000000,133.0,676327.0,677605.0,https://anaconda.org/conda-forge/agate,2021-07-16 07:46:42.405000,75447.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n284,Keras-Preprocessing,keras-team/keras-preprocessing,,tensorflow-utils,https://github.com/keras-team/keras-preprocessing,https://github.com/keras-team/keras-preprocessing,MIT,2018-05-30 22:43:36.000000,2021-12-30 21:55:25.000000,2021-02-04 19:43:30.000000,284.0,,433,44.0,173.0,93.0,100.0,1004.0,\"Utilities for working with image data, text data, and sequence data.\",50.0,30,True,2020-05-14 03:53:47.000000,1.1.2,12.0,keras-preprocessing,conda-forge/keras-preprocessing,,,['tensorflow'],1481.0,,https://pypi.org/project/keras-preprocessing,2020-05-14 03:53:47.000000,1481.0,7978095.0,8005453.0,https://anaconda.org/conda-forge/keras-preprocessing,2021-01-15 12:28:58.923000,1176407.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n285,ktrain,amaiya/ktrain,,ml-frameworks,https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39.000000,2022-01-06 13:43:31.000000,2021-11-23 15:55:56.000000,2545.0,52.0,224,32.0,32.0,6.0,376.0,938.0,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,12.0,30,True,2021-11-05 20:42:40.000000,0.28.3,161.0,ktrain,,,,['tensorflow'],251.0,249.0,https://pypi.org/project/ktrain,2021-11-05 20:30:43.000000,2.0,30650.0,30650.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n286,pyopencl,inducer/pyopencl,,others,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,MIT,2011-04-06 02:51:33.000000,2021-12-31 11:18:17.000000,2021-12-30 16:17:43.000000,3042.0,11.0,218,48.0,233.0,68.0,234.0,864.0,\"OpenCL integration for Python, plus shiny features.\",90.0,30,True,2021-12-05 22:06:06.000000,2021.2.10,73.0,pyopencl,conda-forge/pyopencl,,,,787.0,610.0,https://pypi.org/project/pyopencl,2021-12-30 16:18:14.000000,177.0,22091.0,30808.0,https://anaconda.org/conda-forge/pyopencl,2021-12-30 21:46:36.891000,549171.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n287,patsy,pydata/patsy,,probabilistics,https://github.com/pydata/patsy,https://github.com/pydata/patsy,BSD-2-Clause,2012-07-10 12:30:06.000000,2021-09-26 16:29:44.000000,2021-09-26 16:29:39.000000,539.0,,94,29.0,52.0,73.0,68.0,808.0,Describing statistical models in Python using symbolic formulas.,16.0,30,True,2021-09-27 02:10:26.000000,0.5.2,9.0,patsy,conda-forge/patsy,,,,48372.0,45726.0,https://pypi.org/project/patsy,2021-09-26 05:26:37.000000,2646.0,4469403.0,4532153.0,https://anaconda.org/conda-forge/patsy,2021-09-26 14:43:31.594000,4078760.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n288,Satpy,pytroll/satpy,,geospatial-data,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000000,2022-01-13 14:21:41.000000,2022-01-12 08:15:34.000000,9511.0,381.0,224,30.0,1259.0,363.0,426.0,788.0,Python package for earth-observing satellite data processing.,120.0,30,False,2021-12-17 18:19:32.000000,0.33.1,74.0,satpy,conda-forge/satpy,,,,66.0,58.0,https://pypi.org/project/satpy,2021-12-17 18:19:32.000000,8.0,1293.0,3202.0,https://anaconda.org/conda-forge/satpy,2021-12-17 21:16:26.729000,80219.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n289,data-validation,tensorflow/data-validation,,data-viz,https://github.com/tensorflow/data-validation,https://github.com/tensorflow/data-validation,Apache-2.0,2018-07-02 15:47:02.000000,2022-01-07 07:17:04.000000,2022-01-07 07:17:03.000000,706.0,19.0,112,47.0,64.0,37.0,109.0,595.0,Library for exploring and validating machine learning data.,23.0,30,True,2021-12-01 23:17:43.000000,1.5.0,35.0,tensorflow-data-validation,,,,\"['tensorflow', 'jupyter']\",392.0,368.0,https://pypi.org/project/tensorflow-data-validation,2021-12-01 23:17:43.000000,24.0,6732002.0,6732009.0,,,,,,,,3.0,291.0,,,,,,,,,,,,,,,,,,,,\n290,Ludwig,ludwig-ai/ludwig,,ml-frameworks,https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000000,2022-01-13 00:16:12.000000,2022-01-12 19:14:54.000000,2336.0,121.0,947,185.0,1009.0,157.0,488.0,8046.0,Data-centric declarative deep learning framework.,109.0,29,True,2021-06-15 04:22:19.000000,0.4,19.0,ludwig,,,,['tensorflow'],107.0,99.0,https://pypi.org/project/ludwig,2021-06-15 04:19:55.000000,8.0,2919.0,2919.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n291,CleverHans,cleverhans-lab/cleverhans,,adversarial,https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04.000000,2021-12-26 19:57:53.000000,2021-09-23 22:14:27.000000,3201.0,,1304,187.0,780.0,25.0,422.0,5381.0,\"An adversarial example library for constructing attacks, building defenses, and benchmarking both.\",128.0,29,True,2021-07-24 08:53:21.000000,4.0.0,8.0,cleverhans,,,,['tensorflow'],296.0,285.0,https://pypi.org/project/cleverhans,2021-07-24 08:53:21.000000,11.0,869.0,869.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n292,keras-rl,keras-rl/keras-rl,,reinforcement-learning,https://github.com/keras-rl/keras-rl,https://github.com/keras-rl/keras-rl,MIT,2016-07-02 15:53:12.000000,2022-01-05 17:17:48.000000,2019-11-11 22:14:54.000000,308.0,,1323,216.0,154.0,40.0,219.0,5180.0,Deep Reinforcement Learning for Keras.,40.0,29,False,2018-06-01 07:52:24.000000,0.4.2,8.0,keras-rl,,,,['tensorflow'],598.0,545.0,https://pypi.org/project/keras-rl,2018-06-01 07:52:24.000000,53.0,1987.0,1987.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n293,MindsDB,mindsdb/mindsdb,,ml-frameworks,https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,GPL-3.0,2018-08-02 17:56:45.000000,2022-01-13 12:53:00.000000,2022-01-13 12:53:00.000000,4676.0,424.0,561,212.0,1011.0,81.0,712.0,4330.0,Predictive AI layer for existing databases.,90.0,29,False,2021-12-28 13:29:39.000000,2.61.0,82.0,mindsdb,,,,['pytorch'],4.0,,https://pypi.org/project/mindsdb,2019-03-19 05:07:23.000000,4.0,1313.0,1313.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n294,skorch,skorch-dev/skorch,,ml-frameworks,https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000000,2021-12-30 17:20:51.000000,2021-12-30 17:19:53.000000,974.0,7.0,298,83.0,412.0,52.0,369.0,4292.0,A scikit-learn compatible neural network library that wraps PyTorch.,47.0,29,True,2021-10-31 15:54:20.000000,0.11.0,14.0,skorch,conda-forge/skorch,,,\"['pytorch', 'sklearn']\",454.0,421.0,https://pypi.org/project/skorch,2021-10-31 15:48:51.000000,33.0,22525.0,34942.0,https://anaconda.org/conda-forge/skorch,2021-11-30 10:48:50.965000,496708.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n295,Lasagne,Lasagne/Lasagne,,ml-frameworks,https://github.com/Lasagne/Lasagne,https://github.com/Lasagne/Lasagne,MIT,2014-09-11 15:31:41.000000,2021-12-15 16:05:43.118000,2019-11-20 20:28:30.000000,1161.0,,977,216.0,407.0,139.0,402.0,3801.0,Lightweight library to build and train neural networks in Theano.,72.0,29,False,2015-08-13 21:00:09.000000,0.1,2.0,lasagne,,,,,1146.0,885.0,https://pypi.org/project/lasagne,2021-12-15 16:05:43.118000,261.0,3079.0,3079.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n296,NeMo,NVIDIA/NeMo,,nlp,https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000000,2022-01-13 14:02:03.000000,2022-01-13 06:06:57.000000,4045.0,152.0,846,128.0,2334.0,72.0,850.0,3761.0,NeMo: a toolkit for conversational AI.,124.0,29,True,2021-12-04 00:12:07.000000,1.5.1,46.0,nemo-toolkit,,,,['pytorch'],7.0,,https://pypi.org/project/nemo-toolkit,2021-12-04 00:12:07.000000,7.0,7824.0,8472.0,,,,,,,,2.0,18156.0,,,,,,,,,,,,,,,,,,,,\n297,sacred,IDSIA/sacred,,ml-experiments,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29.000000,2021-12-01 20:34:46.000000,2021-11-05 12:51:21.000000,1314.0,1.0,335,82.0,334.0,94.0,427.0,3693.0,\"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.\",95.0,29,True,2020-12-14 15:21:05.000000,0.8.2,27.0,sacred,,,,,1272.0,1170.0,https://pypi.org/project/sacred,2020-12-14 15:21:05.000000,102.0,30092.0,30092.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n298,haystack,deepset-ai/haystack,,nlp,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000000,2022-01-13 16:43:14.000000,2022-01-12 18:28:20.000000,1000.0,166.0,610,77.0,853.0,156.0,932.0,3646.0,Haystack is an open source NLP framework that leverages Transformer models. It enables developers to implement..,94.0,29,True,2021-12-08 08:05:22.000000,1.0.0,35.0,haystack,,,,,184.0,99.0,https://pypi.org/project/haystack,2021-12-15 14:01:39.322000,85.0,1172.0,1172.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n299,Coqui TTS,coqui-ai/TTS,,audio,https://github.com/coqui-ai/TTS,https://github.com/coqui-ai/TTS,MPL-2.0,2020-05-20 15:45:28.000000,2022-01-12 14:31:13.000000,2022-01-03 17:25:18.000000,3775.0,323.0,286,79.0,177.0,21.0,179.0,3506.0,\"- a deep learning toolkit for Text-to-Speech, battle-tested in research and production.\",82.0,29,True,2022-01-03 17:28:41.000000,0.5.0,22.0,tts,,,,\"['pytorch', 'tensorflow']\",,,https://pypi.org/project/tts,2017-07-14 20:02:42.000000,,3767.0,10065.0,,,,,,,,2.0,62986.0,,,,,,,,,,,,,,,,,,,,\n300,ftfy,LuminosoInsight/python-ftfy,,nlp,https://github.com/rspeer/python-ftfy,https://github.com/rspeer/python-ftfy,MIT,2012-08-24 16:14:59.000000,2021-05-25 06:35:21.702000,2021-05-17 19:04:10.000000,590.0,,107,73.0,62.0,12.0,111.0,3173.0,\"Fixes mojibake and other glitches in Unicode text, after the fact.\",18.0,29,True,2021-08-23 21:02:05.000000,6.0.3,45.0,ftfy,conda-forge/ftfy,,,,5097.0,4617.0,https://pypi.org/project/ftfy,2021-05-24 05:17:15.000000,480.0,1071016.0,1073413.0,https://anaconda.org/conda-forge/ftfy,2021-05-25 06:35:21.702000,136665.0,,,,,2.0,,,,,,,,,,rspeer/python-ftfy,,,,,,,,,,,\n301,BentoML,bentoml/BentoML,,model-serialisation,https://github.com/bentoml/BentoML,https://github.com/bentoml/BentoML,Apache-2.0,2019-04-02 01:39:27.000000,2022-01-13 06:29:27.000000,2021-12-03 06:24:55.000000,1165.0,19.0,359,52.0,1539.0,92.0,423.0,3117.0,Model Serving Made Easy.,90.0,29,True,2021-07-13 10:52:52.000000,0.13.1,55.0,bentoml,,,,,165.0,164.0,https://pypi.org/project/bentoml,2021-12-14 09:16:07.000000,1.0,10425.0,10453.0,,,,,,,,2.0,927.0,,,,,,,,,,,,,,,,,,,,\n302,TensorForce,tensorforce/tensorforce,,reinforcement-learning,https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22.000000,2022-01-08 21:53:17.000000,2022-01-08 21:53:12.000000,2097.0,12.0,512,150.0,226.0,7.0,620.0,3073.0,Tensorforce: a TensorFlow library for applied reinforcement learning.,82.0,29,True,2021-08-30 20:20:58.000000,0.6.5,14.0,tensorforce,,,,['tensorflow'],26.0,,https://pypi.org/project/tensorforce,2019-09-07 13:56:18.000000,26.0,1400.0,1400.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n303,missingno,ResidentMario/missingno,,data-viz,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50.000000,2021-07-04 16:12:30.000000,2021-07-04 16:09:34.000000,180.0,,385,70.0,32.0,11.0,102.0,3039.0,Missing data visualization module for Python.,17.0,29,True,2021-07-04 16:12:30.000000,0.5.0,24.0,missingno,conda-forge/missingno,,,,6057.0,5946.0,https://pypi.org/project/missingno,2021-07-04 16:12:30.000000,111.0,650226.0,652835.0,https://anaconda.org/conda-forge/missingno,2020-02-15 10:07:41.253000,140923.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n304,Sumy,miso-belica/sumy,,nlp,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48.000000,2021-11-23 21:07:29.000000,2021-11-23 21:07:29.000000,403.0,5.0,462,113.0,68.0,15.0,81.0,2733.0,Module for automatic summarization of text documents and HTML pages.,21.0,29,True,2021-10-21 17:24:42.000000,0.9.0,14.0,sumy,,,,,1169.0,1068.0,https://pypi.org/project/sumy,2021-10-21 17:24:42.000000,101.0,20256.0,20256.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n305,aubio,aubio/aubio,,audio,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44.000000,2021-12-29 17:17:28.000000,2021-12-29 16:43:47.000000,4122.0,11.0,335,84.0,55.0,126.0,175.0,2623.0,a library for audio and music analysis.,24.0,29,False,2019-02-27 09:00:43.000000,0.4.9,10.0,aubio,conda-forge/aubio,,,,305.0,280.0,https://pypi.org/project/aubio,2019-02-08 11:21:02.000000,25.0,3103.0,11419.0,https://anaconda.org/conda-forge/aubio,2021-11-09 17:08:03.654000,482353.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n306,TextDistance,life4/textdistance,,nlp,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10.000000,2021-12-03 13:09:42.000000,2021-11-29 10:29:02.000000,321.0,10.0,204,59.0,41.0,9.0,,2587.0,\"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..\",11.0,29,True,2021-10-27 13:15:53.000000,4.2.2,22.0,textdistance,conda-forge/textdistance,,,,1569.0,1530.0,https://pypi.org/project/textdistance,2021-10-27 13:15:53.000000,39.0,255657.0,257240.0,https://anaconda.org/conda-forge/textdistance,2021-10-27 17:04:18.548000,69257.0,,,,,2.0,443.0,,,,,,,,,,,,,,,,,,,,\n307,causalml,uber/causalml,,others,https://github.com/uber/causalml,https://github.com/uber/causalml,Apache-2.0,2019-07-09 02:08:58.000000,2022-01-10 17:55:33.000000,2022-01-10 17:55:33.000000,413.0,57.0,393,64.0,198.0,48.0,196.0,2568.0,Uplift modeling and causal inference with machine learning algorithms.,32.0,29,True,2021-08-02 20:49:15.000000,0.11.1,15.0,causalml,,,,,34.0,33.0,https://pypi.org/project/causalml,2021-08-02 20:49:15.000000,1.0,43667.0,43667.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n308,Arctic,man-group/arctic,,data-containers,https://github.com/man-group/arctic,https://github.com/man-group/arctic,LGPL-2.1,2015-05-29 13:37:30.000000,2022-01-13 10:15:04.000000,2022-01-10 17:46:53.000000,1098.0,19.0,520,171.0,415.0,94.0,441.0,2555.0,Arctic is a high performance datastore for numeric data.,72.0,29,True,2022-01-10 18:52:11.000000,1.80.2,87.0,arctic,conda-forge/arctic,,,,182.0,148.0,https://pypi.org/project/arctic,2022-01-10 18:52:11.000000,34.0,5408.0,5944.0,https://anaconda.org/conda-forge/arctic,2019-12-16 08:57:24.231000,17116.0,,,,,3.0,178.0,,,,,,,,,,,,,,,,,,,,\n309,pygal,Kozea/pygal,,graph,https://github.com/Kozea/pygal,https://github.com/Kozea/pygal,LGPL-3.0,2011-09-23 10:17:50.000000,2021-11-29 10:47:48.000000,2021-11-24 21:04:02.000000,1018.0,3.0,391,136.0,126.0,177.0,244.0,2427.0,PYthon svg GrAph plotting Library.,71.0,29,False,2021-11-24 21:07:22.000000,3.0.0,75.0,pygal,conda-forge/pygal,,,,628.0,,https://pypi.org/project/pygal,2021-11-24 21:07:22.000000,628.0,107220.0,107529.0,https://anaconda.org/conda-forge/pygal,2019-06-04 02:55:56.728000,9608.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n310,GluonNLP,dmlc/gluon-nlp,,nlp,https://github.com/dmlc/gluon-nlp,https://github.com/dmlc/gluon-nlp,Apache-2.0,2018-04-04 20:57:13.000000,2021-12-02 15:56:37.000000,2021-08-24 19:11:38.000000,840.0,,519,103.0,1034.0,260.0,295.0,2354.0,\"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..\",82.0,29,True,2020-08-13 19:17:42.000000,0.10.0,26.0,gluonnlp,,,,['mxnet'],714.0,692.0,https://pypi.org/project/gluonnlp,2020-08-13 19:17:42.000000,22.0,100426.0,100426.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n311,pytorch-optimizer,jettify/pytorch-optimizer,,pytorch-utils,https://github.com/jettify/pytorch-optimizer,https://github.com/jettify/pytorch-optimizer,Apache-2.0,2020-01-03 03:16:39.000000,2022-01-03 10:07:54.000000,2021-11-11 16:56:57.000000,430.0,14.0,213,32.0,371.0,16.0,28.0,2274.0,torch-optimizer -- collection of optimizers for Pytorch.,25.0,29,True,2021-10-31 03:00:19.000000,0.3.0,21.0,torch_optimizer,,,,['pytorch'],450.0,427.0,https://pypi.org/project/torch_optimizer,2021-10-31 03:00:19.000000,23.0,51866.0,51866.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n312,IB-insync,erdewit/ib_insync,,financial-data,https://github.com/erdewit/ib_insync,https://github.com/erdewit/ib_insync,BSD-2-Clause,2017-07-12 12:09:24.000000,2022-01-06 12:22:14.000000,2022-01-06 12:22:11.000000,620.0,10.0,462,173.0,57.0,4.0,358.0,1678.0,Python sync/async framework for Interactive Brokers API.,29.0,29,True,2021-11-28 19:34:09.000000,0.9.70,95.0,ib_insync,conda-forge/ib-insync,,,,19.0,,https://pypi.org/project/ib_insync,2021-11-28 19:34:09.000000,19.0,8893.0,9362.0,https://anaconda.org/conda-forge/ib-insync,2021-11-29 01:17:29.243000,14091.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n313,pytorch-forecasting,jdb78/pytorch-forecasting,,time-series-data,https://github.com/jdb78/pytorch-forecasting,https://github.com/jdb78/pytorch-forecasting,MIT,2020-07-03 13:05:24.000000,2022-01-13 04:04:43.000000,2022-01-12 12:18:32.000000,1136.0,136.0,242,27.0,453.0,140.0,231.0,1638.0,Time series forecasting with PyTorch.,29.0,29,True,2021-11-29 19:55:05.000000,0.9.2,29.0,pytorch-forecasting,,,,,4.0,,https://pypi.org/project/pytorch-forecasting,2021-11-29 19:55:05.000000,4.0,17741.0,17741.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n314,FairScale,facebookresearch/fairscale,,distributed-ml,https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000000,2022-01-13 08:51:37.000000,2022-01-13 08:51:24.000000,577.0,61.0,143,35.0,646.0,64.0,206.0,1571.0,PyTorch extensions for high performance and large scale training.,53.0,29,True,2021-12-21 20:08:57.000000,0.4.4,26.0,fairscale,,,,['pytorch'],156.0,143.0,https://pypi.org/project/fairscale,2021-12-21 20:08:54.000000,13.0,37883.0,37883.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n315,shapash,MAIF/shapash,,interpretability,https://github.com/MAIF/shapash,https://github.com/MAIF/shapash,Apache-2.0,2020-04-29 07:34:23.000000,2022-01-13 15:59:49.000000,2022-01-04 14:52:13.000000,959.0,69.0,204,32.0,177.0,11.0,85.0,1527.0,Shapash makes Machine Learning models transparent and understandable by everyone.,31.0,29,True,2021-12-06 14:50:36.000000,1.6.0,16.0,shapash,,,,['jupyter'],59.0,59.0,https://pypi.org/project/shapash,2021-12-06 14:50:36.000000,,12562.0,12562.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n316,datatable,h2oai/datatable,,data-containers,https://github.com/h2oai/datatable,https://github.com/h2oai/datatable,MPL-2.0,2017-03-03 02:32:59.000000,2022-01-13 11:23:59.000000,2022-01-13 00:11:01.000000,2110.0,15.0,123,99.0,1797.0,137.0,1252.0,1428.0,A Python package for manipulating 2-dimensional tabular data structures.,32.0,29,True,2021-07-02 00:15:35.000000,1.0.0,16.0,datatable,,,,,12.0,,https://pypi.org/project/datatable,2021-07-01 23:36:34.000000,12.0,68222.0,68244.0,,,,,,,,3.0,1210.0,,,,,,,,,,,,,,,,,,,,\n317,ArcGIS API,Esri/arcgis-python-api,,geospatial-data,https://github.com/Esri/arcgis-python-api,https://github.com/Esri/arcgis-python-api,Apache-2.0,2016-03-16 01:09:14.000000,2022-01-13 11:17:27.000000,2022-01-12 12:47:53.000000,3329.0,32.0,832,140.0,754.0,112.0,291.0,1193.0,Documentation and samples for ArcGIS API for Python.,74.0,29,True,2021-10-04 20:36:31.000000,1.9.1,31.0,arcgis,,esridocker/arcgis-api-python-notebook,,,18.0,,https://pypi.org/project/arcgis,2021-10-04 17:20:11.000000,18.0,48053.0,48152.0,,,,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,2021-10-05 23:20:06.966942,33.0,5487.0,3.0,1353.0,,,,,,,,,,,,,,,,,,,,\n318,TF Recommenders,tensorflow/recommenders,,recommender-systems,https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01.000000,2022-01-07 20:38:02.000000,2022-01-07 20:37:58.000000,287.0,12.0,157,45.0,218.0,115.0,102.0,1167.0,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,30.0,29,True,2021-08-23 23:29:59.000000,0.6.0,12.0,tensorflow-recommenders,,,,['tensorflow'],65.0,64.0,https://pypi.org/project/tensorflow-recommenders,2021-08-23 23:29:59.000000,1.0,197839.0,197839.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n319,arch,bashtage/arch,,financial-data,https://github.com/bashtage/arch,https://github.com/bashtage/arch,NCSA,2014-08-29 15:41:28.000000,2022-01-05 18:43:49.000000,2022-01-05 18:39:11.000000,903.0,13.0,195,41.0,383.0,15.0,149.0,852.0,ARCH models in Python.,30.0,29,False,2021-11-19 16:00:03.000000,5.1.0,35.0,arch,,,,,477.0,439.0,https://pypi.org/project/arch,2021-11-19 16:00:03.000000,38.0,88927.0,88927.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n320,dask-ml,dask/dask-ml,,distributed-ml,https://github.com/dask/dask-ml,https://github.com/dask/dask-ml,BSD-3-Clause,2017-06-15 15:56:06.000000,2022-01-05 19:30:58.000000,2022-01-05 19:27:23.000000,796.0,16.0,215,41.0,474.0,225.0,235.0,777.0,Scalable Machine Learning with Dask.,70.0,29,True,2021-11-30 15:21:04.000000,2021.11.30,31.0,dask-ml,conda-forge/dask-ml,,,,591.0,536.0,https://pypi.org/project/dask-ml,2021-11-30 15:21:04.000000,55.0,47067.0,52149.0,https://anaconda.org/conda-forge/dask-ml,2021-11-30 22:00:24.715000,259203.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n321,Sentinelsat,sentinelsat/sentinelsat,,geospatial-data,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26.000000,2022-01-05 19:58:27.000000,2022-01-05 19:57:41.000000,1116.0,17.0,204,57.0,238.0,9.0,307.0,705.0,Search and download Copernicus Sentinel satellite images.,42.0,29,False,2022-01-05 19:58:27.000000,1.1.1,40.0,sentinelsat,,,,,292.0,262.0,https://pypi.org/project/sentinelsat,2022-01-05 19:58:27.000000,30.0,11575.0,11578.0,,,,,,,,3.0,227.0,,,,,,,,,,,,,,,,,,,,\n322,geojson,jazzband/geojson,,geospatial-data,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48.000000,2022-01-03 20:57:55.000000,2022-01-03 20:57:51.000000,456.0,6.0,89,29.0,96.0,21.0,58.0,681.0,Python bindings and utilities for GeoJSON.,46.0,29,True,2019-08-09 20:32:15.000000,2.5.0,28.0,geojson,conda-forge/geojson,,,,9476.0,8358.0,https://pypi.org/project/geojson,2019-08-09 20:32:15.000000,1118.0,521263.0,527954.0,https://anaconda.org/conda-forge/geojson,2019-08-11 12:10:34.426000,468391.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n323,metrics,PyTorchLightning/metrics,,distributed-ml,https://github.com/PyTorchLightning/metrics,https://github.com/PyTorchLightning/metrics,Apache-2.0,2020-12-22 20:02:42.000000,2022-01-13 10:40:23.000000,2022-01-13 08:17:19.000000,617.0,108.0,136,22.0,409.0,45.0,219.0,612.0,\"Machine learning metrics for distributed, scalable PyTorch applications.\",111.0,29,True,2021-12-15 16:40:08.000000,0.6.2,15.0,metrics,,,,['pytorch'],1586.0,1572.0,https://pypi.org/project/metrics,2018-04-28 10:58:56.000000,14.0,2848.0,2884.0,,,,,,,,2.0,362.0,,,,,,,,,,,,,,,,,,,,\n324,SALib,SALib/SALib,,probabilistics,https://github.com/SALib/SALib,https://github.com/SALib/SALib,MIT,2013-05-30 13:38:10.000000,2021-12-19 00:40:31.000000,2021-12-19 00:40:25.000000,1500.0,3.0,169,21.0,236.0,49.0,220.0,559.0,\"Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.\",34.0,29,True,2021-09-04 09:49:51.000000,1.4.5,40.0,salib,conda-forge/salib,,,,51.0,,https://pypi.org/project/salib,2021-09-04 05:27:03.000000,51.0,79804.0,81010.0,https://anaconda.org/conda-forge/salib,2021-09-04 07:03:28.179000,74773.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n325,TensorFlow I/O,tensorflow/io,,tensorflow-utils,https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05.000000,2022-01-05 07:34:43.000000,2022-01-04 21:05:45.000000,1535.0,36.0,214,40.0,1123.0,160.0,328.0,523.0,\"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.\",84.0,29,True,2021-12-15 23:04:19.000000,0.23.1,30.0,tensorflow-io,,,,['tensorflow'],15.0,,https://pypi.org/project/tensorflow-io,2021-12-15 23:01:12.000000,15.0,153902.0,153902.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n326,audioread,beetbox/audioread,,audio,https://github.com/beetbox/audioread,https://github.com/beetbox/audioread,MIT,2011-11-08 19:53:18.000000,2022-01-08 02:58:29.695000,2021-12-03 18:19:53.000000,251.0,19.0,89,19.0,43.0,31.0,46.0,387.0,cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python.,21.0,29,True,2020-10-20 11:23:09.000000,2.1.9,25.0,audioread,conda-forge/audioread,,,,7401.0,7076.0,https://pypi.org/project/audioread,2020-10-20 11:23:09.000000,325.0,465448.0,471143.0,https://anaconda.org/conda-forge/audioread,2022-01-08 02:58:29.695000,375896.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n327,huggingface_hub,huggingface/huggingface_hub,,model-serialisation,https://github.com/huggingface/huggingface_hub,https://github.com/huggingface/huggingface_hub,Apache-2.0,2020-12-22 10:20:28.000000,2022-01-13 15:48:33.000000,2022-01-13 15:09:05.000000,503.0,127.0,64,33.0,411.0,103.0,94.0,310.0,All the open source things related to the Hugging Face Hub.,50.0,29,True,2022-01-11 10:51:32.000000,0.4.0,25.0,huggingface_hub,conda-forge/huggingface_hub,,,,51.0,,https://pypi.org/project/huggingface_hub,2022-01-11 10:51:32.000000,51.0,1947190.0,1949386.0,https://anaconda.org/conda-forge/huggingface_hub,2022-01-12 11:57:27.670000,24163.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n328,Cython BLIS,explosion/cython-blis,,others,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16.000000,2021-12-13 14:15:12.000000,2021-11-17 12:08:58.000000,532.0,3.0,30,10.0,35.0,6.0,23.0,182.0,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,10.0,29,False,2021-10-27 09:16:31.000000,0.7.5,36.0,blis,conda-forge/cython-blis,,,,15409.0,15184.0,https://pypi.org/project/blis,2021-10-22 08:50:51.000000,225.0,3607767.0,3642192.0,https://anaconda.org/conda-forge/cython-blis,2021-11-04 20:09:22.632000,1170474.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n329,spleeter,deezer/spleeter,,audio,https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000000,2022-01-08 11:47:27.000000,2021-12-08 16:06:40.000000,474.0,1.0,1978,375.0,80.0,105.0,518.0,18463.0,Deezer source separation library including pretrained models.,18.0,28,True,2021-09-03 09:59:00.000000,2.3.0,34.0,spleeter,conda-forge/spleeter,,,['tensorflow'],3.0,,https://pypi.org/project/spleeter,2021-09-03 09:55:50.000000,3.0,10100.0,63480.0,https://anaconda.org/conda-forge/spleeter,2020-06-30 14:33:43.220000,61859.0,,,,,3.0,1377033.0,,,,,,,,,,,,,,,,,,,,\n330,Recommenders,microsoft/recommenders,,recommender-systems,https://github.com/microsoft/recommenders,https://github.com/microsoft/recommenders,MIT,2018-09-19 10:06:07.000000,2022-01-13 13:43:04.000000,2022-01-13 09:36:20.000000,7343.0,224.0,2052,257.0,967.0,132.0,517.0,11998.0,Best Practices on Recommendation Systems.,105.0,28,True,2021-09-23 18:03:12.000000,0.7.0,9.0,,,,,,9.0,9.0,,,,,2.0,,,,,,,,2.0,93.0,,,,,,,,,,,,,,,,,,,,\n331,vit-pytorch,lucidrains/vit-pytorch,,image,https://github.com/lucidrains/vit-pytorch,https://github.com/lucidrains/vit-pytorch,MIT,2020-10-03 22:47:24.000000,2022-01-06 21:14:46.000000,2022-01-06 21:14:41.000000,216.0,40.0,1276,100.0,27.0,80.0,83.0,8198.0,\"Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single..\",14.0,28,True,2022-01-06 21:04:32.000000,0.26.3,112.0,vit-pytorch,,,,['pytorch'],64.0,63.0,https://pypi.org/project/vit-pytorch,2022-01-06 21:04:32.000000,1.0,7963.0,7963.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n332,backtrader,mementum/backtrader,,financial-data,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52.000000,2022-01-06 11:23:48.000000,2021-07-17 22:17:12.000000,2385.0,,2390,545.0,193.0,37.0,,8022.0,Python Backtesting library for trading strategies.,52.0,28,False,,,155.0,backtrader,,,,,921.0,872.0,https://pypi.org/project/backtrader,2020-07-03 13:02:14.000000,49.0,14288.0,14288.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n333,pysc2,deepmind/pysc2,,others,https://github.com/deepmind/pysc2,https://github.com/deepmind/pysc2,Apache-2.0,2017-07-25 18:16:57.000000,2021-08-13 05:11:09.000000,2019-09-27 15:23:22.000000,513.0,,1112,370.0,74.0,60.0,204.0,7408.0,StarCraft II Learning Environment.,34.0,28,False,2019-09-27 15:48:01.000000,3.0.0,7.0,pysc2,,,,,357.0,332.0,https://pypi.org/project/pysc2,2019-09-27 15:48:01.000000,25.0,1058.0,1583.0,,,,,,,,2.0,27857.0,,,,,,,,,,,,,,,,,,,,\n334,Facets Overview,pair-code/facets,,data-viz,https://github.com/PAIR-code/facets,https://github.com/PAIR-code/facets,Apache-2.0,2017-07-07 14:03:03.000000,2021-11-29 10:48:23.000000,2021-05-06 12:01:05.000000,264.0,,834,276.0,93.0,76.0,76.0,6754.0,Visualizations for machine learning datasets.,28.0,28,True,2019-07-24 15:57:06.000000,1.0.0,4.0,facets-overview,,,,['jupyter'],99.0,95.0,https://pypi.org/project/facets-overview,2019-07-24 15:57:06.000000,4.0,103578.0,103578.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n335,NuPIC,numenta/nupic,,ml-frameworks,https://github.com/numenta/nupic,https://github.com/numenta/nupic,AGPL-3.0,2013-04-05 23:14:27.000000,2021-03-25 21:39:47.000000,2019-10-23 20:45:07.000000,6625.0,,1585,636.0,2110.0,456.0,1337.0,6294.0,\"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..\",121.0,28,False,2018-06-01 15:37:54.000000,1.0.5,53.0,nupic,,,,,146.0,108.0,https://pypi.org/project/nupic,2018-06-01 15:37:54.000000,38.0,3422.0,3422.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n336,PyText,facebookresearch/pytext,,nlp,https://github.com/facebookresearch/pytext,https://github.com/facebookresearch/pytext,BSD-3-Clause,2018-07-31 23:40:46.000000,2022-01-09 07:18:07.000000,2022-01-09 07:18:04.000000,1684.0,27.0,804,170.0,1580.0,145.0,74.0,6274.0,A natural language modeling framework based on PyTorch.,217.0,28,True,2020-06-08 23:30:58.000000,0.3.3,13.0,pytext-nlp,,,,['pytorch'],104.0,103.0,https://pypi.org/project/pytext-nlp,2020-06-08 22:49:33.000000,1.0,209.0,216.0,,,,,,,,2.0,282.0,,,,,,,,,,,,,,,,,,,,\n337,PaddleDetection,PaddlePaddle/PaddleDetection,,image,https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000000,2022-01-13 08:30:20.000000,2022-01-12 06:00:38.000000,1314.0,131.0,1534,151.0,2217.0,867.0,2022.0,6149.0,\"Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object..\",78.0,28,True,2021-12-09 11:11:05.000000,2.3.0,5.0,,,,,['paddle'],7.0,7.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n338,PyTorch3D,facebookresearch/pytorch3d,,image,https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,,2019-10-25 02:23:45.000000,2022-01-10 18:04:05.000000,2022-01-10 18:04:02.000000,646.0,57.0,766,138.0,94.0,82.0,810.0,5544.0,PyTorch3D is FAIRs library of reusable components for deep learning with 3D data.,75.0,28,False,2021-12-16 19:13:11.000000,0.6.1,10.0,pytorch3d,pytorch3d/pytorch3d,,,['pytorch'],149.0,145.0,https://pypi.org/project/pytorch3d,2021-12-16 16:50:38.000000,4.0,8491.0,9644.0,https://anaconda.org/pytorch3d/pytorch3d,2021-12-16 16:50:37.672000,29984.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n339,scikit-surprise,NicolasHug/Surprise,,recommender-systems,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38.000000,2021-11-18 20:15:44.176000,2020-08-05 17:45:59.000000,622.0,,890,150.0,63.0,51.0,292.0,5181.0,A Python scikit for building and analyzing recommender systems.,38.0,28,False,2020-07-19 14:50:48.000000,1.1.1,9.0,scikit-surprise,conda-forge/scikit-surprise,,,,26.0,,https://pypi.org/project/scikit-surprise,2020-07-19 14:50:48.000000,26.0,69626.0,73938.0,https://anaconda.org/conda-forge/scikit-surprise,2021-11-18 20:15:44.176000,207021.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n340,Edward,blei-lab/edward,,probabilistics,https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05.000000,2019-10-22 20:30:48.000000,2018-07-25 01:28:08.000000,1796.0,,767,281.0,437.0,212.0,328.0,4681.0,\"A probabilistic programming language in TensorFlow. Deep generative models, variational inference.\",87.0,28,False,2018-01-22 06:03:37.000000,1.3.5,28.0,edward,,,,['tensorflow'],290.0,250.0,https://pypi.org/project/edward,2018-01-22 06:03:05.000000,40.0,2074.0,2074.0,,,,,,,,3.0,15.0,,,,,,,,,,,,,,,,,,,,\n341,kaggle,Kaggle/kaggle-api,,ml-experiments,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000000,2021-12-17 19:19:11.878000,2021-03-15 15:49:05.000000,145.0,,872,180.0,74.0,190.0,144.0,4511.0,Official Kaggle API.,36.0,28,True,2021-03-13 00:50:03.000000,1.5.12,48.0,kaggle,conda-forge/kaggle,,,,324.0,,https://pypi.org/project/kaggle,2021-03-13 00:50:03.000000,324.0,114227.0,116612.0,https://anaconda.org/conda-forge/kaggle,2021-12-17 19:19:11.878000,76345.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n342,lightfm,lyst/lightfm,,recommender-systems,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00.000000,2022-01-08 21:18:06.000000,2021-12-31 20:43:26.000000,431.0,3.0,613,96.0,189.0,90.0,345.0,3898.0,\"A Python implementation of LightFM, a hybrid recommendation algorithm.\",44.0,28,True,2020-11-27 19:48:30.000000,1.16,14.0,lightfm,conda-forge/lightfm,,,,665.0,620.0,https://pypi.org/project/lightfm,2020-11-27 19:55:08.000000,45.0,194902.0,197245.0,https://anaconda.org/conda-forge/lightfm,2021-02-07 22:19:58.097000,112498.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n343,T5,google-research/text-to-text-transfer-transformer,,nlp,https://github.com/google-research/text-to-text-transfer-transformer,https://github.com/google-research/text-to-text-transfer-transformer,Apache-2.0,2019-10-17 21:45:14.000000,2022-01-11 17:57:39.000000,2022-01-11 17:57:34.000000,538.0,21.0,528,101.0,502.0,64.0,334.0,3895.0,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,44.0,28,True,2021-10-18 13:55:26.000000,0.9.3,28.0,t5,,,,['tensorflow'],80.0,78.0,https://pypi.org/project/t5,2021-10-18 13:55:26.000000,2.0,5699.0,5699.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n344,FATE,FederatedAI/FATE,,privacy-ml,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000000,2022-01-13 09:45:03.000000,2022-01-13 03:57:52.000000,9824.0,1109.0,1136,133.0,2580.0,347.0,716.0,3858.0,An Industrial Grade Federated Learning Framework.,69.0,28,True,2022-01-12 14:07:16.000000,1.7.1,30.0,,,,,,,,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n345,Alpha Vantage,RomelTorres/alpha_vantage,,financial-data,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00.000000,2022-01-04 14:23:20.000000,2021-06-14 05:10:42.000000,518.0,,630,177.0,76.0,14.0,248.0,3574.0,A python wrapper for Alpha Vantage API for financial data.,39.0,28,True,2020-12-21 02:37:29.000000,2.3.1,28.0,alpha_vantage,,,,,104.0,,https://pypi.org/project/alpha_vantage,2018-08-26 18:55:11.000000,104.0,30806.0,30806.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n346,Darts,unit8co/darts,,time-series-data,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000000,2022-01-13 15:07:40.000000,2022-01-13 13:50:38.000000,683.0,68.0,297,41.0,425.0,117.0,195.0,3328.0,A python library for easy manipulation and forecasting of time series.,41.0,28,True,2021-12-24 11:20:45.000000,0.15.0,23.0,u8darts,,unit8/darts,,,26.0,24.0,https://pypi.org/project/u8darts,2021-12-24 11:20:45.000000,2.0,2707.0,2712.0,,,,https://hub.docker.com/r/unit8/darts,2021-12-24 11:27:47.904002,,239.0,2.0,,,,,,,,,,,,,,,,,,,,,\n347,FinRL,AI4Finance-LLC/FinRL,,reinforcement-learning,https://github.com/AI4Finance-Foundation/FinRL,https://github.com/AI4Finance-Foundation/FinRL,MIT,2020-07-26 13:18:16.000000,2022-01-13 16:26:46.000000,2022-01-13 16:26:46.000000,1366.0,408.0,857,127.0,121.0,82.0,197.0,3176.0,FinRL: Financial Reinforcement Learning Framework. Please star.,50.0,28,True,2022-01-08 13:58:14.000000,0.3.4,6.0,finrl,,,,,8.0,8.0,https://pypi.org/project/finrl,2022-01-08 13:58:14.000000,,357.0,357.0,,,,,,,,2.0,,,,,,,,,,AI4Finance-Foundation/FinRL,,,,,,,,,,,\n348,D-Tale,man-group/dtale,,data-viz,https://github.com/man-group/dtale,https://github.com/man-group/dtale,LGPL-2.1,2019-07-15 09:34:48.000000,2022-01-13 13:49:09.000000,2022-01-13 13:47:10.000000,550.0,33.0,223,60.0,179.0,42.0,399.0,2912.0,Visualizer for pandas data structures.,19.0,28,True,2021-11-18 04:17:35.000000,1.61.1,141.0,dtale,conda-forge/dtale,,,\"['pandas', 'jupyter']\",289.0,278.0,https://pypi.org/project/dtale,2021-11-18 04:17:35.000000,11.0,47209.0,51657.0,https://anaconda.org/conda-forge/dtale,2021-11-18 04:41:08.411000,102326.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n349,gpustat,wookayin/gpustat,,gpu-utilities,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43.000000,2021-11-07 22:16:42.000000,2021-08-13 10:24:05.000000,170.0,,209,43.0,36.0,22.0,56.0,2687.0,A simple command-line utility for querying and monitoring GPU status.,12.0,28,True,2019-07-22 06:37:00.000000,0.6.0,11.0,gpustat,conda-forge/gpustat,,,,1622.0,1523.0,https://pypi.org/project/gpustat,2021-01-02 05:59:41.000000,99.0,302635.0,305830.0,https://anaconda.org/conda-forge/gpustat,2020-11-24 19:59:04.772000,108636.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n350,Porcupine,Picovoice/Porcupine,,audio,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000000,2022-01-13 01:13:25.000000,2022-01-11 22:38:37.000000,638.0,82.0,382,62.0,268.0,7.0,348.0,2628.0,On-device wake word detection powered by deep learning.,30.0,28,True,2021-12-21 00:50:46.000000,2.0.4,24.0,pvporcupine,,,,,15.0,7.0,https://pypi.org/project/pvporcupine,2021-12-21 00:50:46.000000,8.0,1681.0,1681.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n351,Acme,deepmind/acme,,reinforcement-learning,https://github.com/deepmind/acme,https://github.com/deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000000,2022-01-13 11:19:07.000000,2022-01-13 11:18:27.000000,687.0,84.0,293,71.0,37.0,40.0,117.0,2482.0,A library of reinforcement learning components and agents.,54.0,28,True,2022-01-08 20:19:42.000000,0.3.0,14.0,dm-acme,,,,['tensorflow'],51.0,49.0,https://pypi.org/project/dm-acme,2022-01-08 20:20:09.000000,2.0,2617.0,2617.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n352,GluonTS,awslabs/gluon-ts,,time-series-data,https://github.com/awslabs/gluon-ts,https://github.com/awslabs/gluon-ts,Apache-2.0,2019-05-15 17:17:29.000000,2022-01-06 13:26:09.000000,2022-01-06 13:26:09.000000,833.0,48.0,496,67.0,991.0,273.0,422.0,2408.0,Probabilistic time series modeling in Python.,82.0,28,True,2021-08-12 10:05:38.000000,0.8.1,43.0,gluonts,,,,['mxnet'],3.0,,https://pypi.org/project/gluonts,2021-11-11 15:18:16.000000,3.0,59551.0,59551.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n353,TF Ranking,tensorflow/ranking,,recommender-systems,https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57.000000,2021-11-22 21:37:02.000000,2021-11-22 21:36:59.000000,442.0,36.0,409,93.0,31.0,46.0,233.0,2387.0,Learning to Rank in TensorFlow.,25.0,28,True,2021-11-16 23:49:54.000000,0.5.0,19.0,tensorflow_ranking,,,,['tensorflow'],11.0,,https://pypi.org/project/tensorflow_ranking,2021-11-16 01:31:58.000000,11.0,48475.0,48475.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n354,Foolbox,bethgelab/foolbox,,adversarial,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48.000000,2022-01-13 02:15:14.000000,2021-06-05 09:38:18.000000,1648.0,,373,43.0,323.0,61.0,269.0,2127.0,\"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.\",32.0,28,True,2021-02-23 07:09:34.000000,3.3.1,68.0,foolbox,,,,,272.0,259.0,https://pypi.org/project/foolbox,2021-02-23 07:07:53.000000,13.0,3169.0,3169.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n355,STUMPY,TDAmeritrade/stumpy,,time-series-data,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000000,2022-01-12 04:23:23.000000,2022-01-09 02:40:21.000000,963.0,42.0,193,50.0,92.0,32.0,247.0,2037.0,STUMPY is a powerful and scalable Python library for modern time series analysis.,26.0,28,True,2021-12-24 18:12:10.000000,1.10.2,25.0,stumpy,conda-forge/stumpy,,,,4.0,,https://pypi.org/project/stumpy,2021-12-24 18:12:10.000000,4.0,258839.0,259924.0,https://anaconda.org/conda-forge/stumpy,2021-12-24 18:44:17.831000,34745.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n356,Essentia,MTG/essentia,,audio,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000000,2022-01-13 15:29:07.000000,2022-01-13 14:44:48.000000,3033.0,81.0,431,110.0,296.0,347.0,597.0,2008.0,\"C++ library for audio and music analysis, description and synthesis, including Python bindings.\",73.0,28,False,2015-03-31 16:33:30.000000,2.0,10.0,essentia,,,,,273.0,260.0,https://pypi.org/project/essentia,2021-11-04 15:23:58.000000,13.0,2261.0,2261.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n357,datasketch,ekzhu/datasketch,,data-containers,https://github.com/ekzhu/datasketch,https://github.com/ekzhu/datasketch,MIT,2015-03-20 01:21:46.000000,2021-12-27 20:13:28.000000,2021-12-27 20:10:03.000000,203.0,8.0,233,53.0,47.0,29.0,97.0,1645.0,\"MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble.\",20.0,28,True,2021-12-27 20:13:28.000000,1.5.6,78.0,datasketch,,,,,393.0,339.0,https://pypi.org/project/datasketch,2021-12-27 20:10:31.000000,54.0,376040.0,376040.0,,,,,,,,3.0,18.0,,,,,,,,,,,,,,,,,,,,\n358,streamparse,Parsely/streamparse,,data-pipelines,https://github.com/Parsely/streamparse,https://github.com/Parsely/streamparse,Apache-2.0,2014-05-02 20:33:50.000000,2022-01-10 21:46:17.000000,2022-01-10 21:42:18.000000,1069.0,10.0,217,101.0,167.0,70.0,263.0,1448.0,\"Run Python in Apache Storm topologies. Pythonic API, CLI tooling, and a topology DSL.\",42.0,28,True,2022-01-10 21:46:17.000000,4.1.2,50.0,streamparse,,,,,80.0,53.0,https://pypi.org/project/streamparse,2022-01-10 21:43:49.000000,27.0,2732.0,2732.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n359,lightning-flash,PyTorchLightning/lightning-flash,,pytorch-utils,https://github.com/PyTorchLightning/lightning-flash,https://github.com/PyTorchLightning/lightning-flash,Apache-2.0,2021-01-28 18:47:16.000000,2022-01-12 13:26:53.000000,2022-01-12 13:26:53.000000,771.0,136.0,133,30.0,684.0,83.0,343.0,1339.0,Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7..,60.0,28,True,2021-12-13 17:53:06.000000,0.6.0,28.0,lightning-flash,,,,['pytorch'],43.0,41.0,https://pypi.org/project/lightning-flash,2021-12-13 17:53:06.000000,2.0,2253.0,2253.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n360,petastorm,uber/petastorm,,distributed-ml,https://github.com/uber/petastorm,https://github.com/uber/petastorm,Apache-2.0,2018-06-15 23:15:29.000000,2022-01-12 04:35:37.000000,2022-01-10 18:25:00.000000,667.0,5.0,223,40.0,471.0,135.0,135.0,1333.0,Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets..,43.0,28,True,2021-09-04 05:47:24.000000,0.11.3,75.0,petastorm,,,,,58.0,54.0,https://pypi.org/project/petastorm,2021-09-04 05:47:24.000000,4.0,139747.0,139754.0,,,,,,,,2.0,309.0,,,,,,,,,,,,,,,,,,,,\n361,ViZDoom,mwydmuch/ViZDoom,,reinforcement-learning,https://github.com/mwydmuch/ViZDoom,https://github.com/mwydmuch/ViZDoom,MIT,2015-06-26 18:38:23.000000,2022-01-11 01:17:01.000000,2022-01-10 10:34:04.000000,1525.0,25.0,311,52.0,70.0,89.0,344.0,1313.0,Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information.,45.0,28,True,2021-11-22 11:15:55.000000,1.1.11,22.0,vizdoom,,,,,132.0,118.0,https://pypi.org/project/vizdoom,2021-11-22 11:16:41.000000,14.0,932.0,1095.0,,,,,,,,2.0,11420.0,,,,,,,,,,,,,,,,,,,,\n362,TabPy,tableau/TabPy,,others,https://github.com/tableau/TabPy,https://github.com/tableau/TabPy,MIT,2016-09-27 21:26:03.000000,2022-01-13 00:46:31.000000,2022-01-13 00:28:18.000000,848.0,5.0,438,112.0,237.0,16.0,276.0,1182.0,Execute Python code on the fly and display results in Tableau visualizations:.,44.0,28,True,2021-08-20 14:18:35.000000,2.4.0,25.0,tabpy,,,,,81.0,79.0,https://pypi.org/project/tabpy,2021-08-20 14:18:35.000000,2.0,18016.0,18016.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n363,Opacus,pytorch/opacus,,privacy-ml,https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000000,2022-01-11 20:53:40.000000,2022-01-04 00:15:17.000000,571.0,261.0,168,39.0,208.0,25.0,99.0,1028.0,Training PyTorch models with differential privacy.,40.0,28,True,2022-01-04 00:19:31.000000,1.0.1,12.0,opacus,,,,['pytorch'],82.0,72.0,https://pypi.org/project/opacus,2022-01-04 00:19:31.000000,10.0,2799.0,2801.0,,,,,,,,2.0,40.0,,,,,,,,,,,,,,,,,,,,\n364,petl,petl-developers/petl,,data-pipelines,https://github.com/petl-developers/petl,https://github.com/petl-developers/petl,MIT,2011-08-19 09:51:03.000000,2022-01-04 21:30:02.000000,2022-01-04 21:30:02.000000,1156.0,2.0,167,47.0,153.0,72.0,352.0,962.0,Python Extract Transform and Load Tables of Data.,52.0,28,True,2021-10-15 03:48:10.000000,1.7.5,79.0,petl,conda-forge/petl,,http://petl.readthedocs.org,,679.0,606.0,https://pypi.org/project/petl,2021-03-27 03:06:14.000000,73.0,38559.0,39549.0,https://anaconda.org/conda-forge/petl,2021-04-05 21:49:41.242000,63408.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n365,pingouin,raphaelvallat/pingouin,,probabilistics,https://github.com/raphaelvallat/pingouin,https://github.com/raphaelvallat/pingouin,GPL-3.0,2018-04-01 01:10:22.000000,2021-12-08 18:19:29.000000,2021-12-08 18:19:29.000000,1160.0,19.0,79,25.0,40.0,25.0,155.0,885.0,Statistical package in Python based on Pandas.,23.0,28,False,2021-10-28 22:09:53.000000,0.5.0,35.0,pingouin,conda-forge/pingouin,,,,454.0,432.0,https://pypi.org/project/pingouin,2021-10-28 21:59:14.000000,22.0,45017.0,46359.0,https://anaconda.org/conda-forge/pingouin,2021-10-29 00:37:42.640000,49666.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n366,Madmom,CPJKU/madmom,,audio,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06.000000,2022-01-10 20:42:34.000000,2022-01-06 15:08:19.000000,1746.0,18.0,149,37.0,251.0,54.0,200.0,848.0,Python audio and music signal processing library.,20.0,28,True,2018-11-14 14:57:41.000000,0.16.1,11.0,madmom,,,,,202.0,175.0,https://pypi.org/project/madmom,2018-11-14 14:56:22.000000,27.0,8837.0,8837.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n367,pyjanitor,pyjanitor-devs/pyjanitor,,others,https://github.com/pyjanitor-devs/pyjanitor,https://github.com/pyjanitor-devs/pyjanitor,MIT,2018-03-04 22:43:33.000000,2022-01-13 01:41:31.000000,2022-01-13 00:45:02.000000,1321.0,30.0,134,23.0,557.0,92.0,341.0,804.0,Clean APIs for data cleaning. Python implementation of R package Janitor.,96.0,28,True,2021-11-21 02:25:32.000000,0.22.0,53.0,pyjanitor,conda-forge/pyjanitor,,,,155.0,145.0,https://pypi.org/project/pyjanitor,2021-11-21 02:25:27.000000,10.0,14056.0,16460.0,https://anaconda.org/conda-forge/pyjanitor,2021-11-22 17:28:45.154000,110600.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n368,CLTK,cltk/cltk,,nlp,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000000,2022-01-11 21:13:05.000000,2022-01-05 18:55:48.000000,3594.0,4.0,304,68.0,633.0,26.0,490.0,698.0,The Classical Language Toolkit.,113.0,28,True,2022-01-05 18:55:36.000000,1.0.22,192.0,cltk,,,,,229.0,187.0,https://pypi.org/project/cltk,2022-01-05 18:55:36.000000,42.0,1571.0,1571.0,,,,,,,,2.0,22.0,,,,,,,,,,,,,,,,,,,,\n369,PyNNDescent,lmcinnes/pynndescent,,nn-search,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000000,2022-01-12 22:12:42.000000,2022-01-05 17:33:12.000000,541.0,16.0,72,12.0,68.0,44.0,50.0,568.0,A Python nearest neighbor descent for approximate nearest neighbors.,18.0,28,True,2021-10-15 14:06:19.000000,0.5.5,24.0,pynndescent,conda-forge/pynndescent,,,,1137.0,1115.0,https://pypi.org/project/pynndescent,2021-10-15 13:34:09.000000,22.0,1392317.0,1406331.0,https://anaconda.org/conda-forge/pynndescent,2021-10-15 15:32:23.572000,434441.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n370,mpi4py,mpi4py/mpi4py,,distributed-ml,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-2-Clause,2013-09-05 14:44:25.000000,2022-01-10 15:18:57.000000,2022-01-10 15:18:51.000000,2451.0,58.0,74,12.0,77.0,14.0,48.0,496.0,Python bindings for MPI.,20.0,28,True,2021-11-25 21:07:13.000000,3.1.3,20.0,mpi4py,conda-forge/mpi4py,,,,582.0,,https://pypi.org/project/mpi4py,2021-12-15 13:48:39.969000,582.0,202364.0,216334.0,https://anaconda.org/conda-forge/mpi4py,2021-11-25 23:30:14.783000,883651.0,,,,,2.0,2934.0,,,,,,,,,,,,,,,,,,,,\n371,ml-metadata,google/ml-metadata,,ml-experiments,https://github.com/google/ml-metadata,https://github.com/google/ml-metadata,Apache-2.0,2019-01-15 21:02:09.000000,2021-12-24 08:54:03.000000,2021-12-24 08:54:02.000000,575.0,14.0,81,28.0,62.0,20.0,58.0,416.0,For recording and retrieving metadata associated with ML developer and data scientist workflows.,13.0,28,True,2021-11-30 00:03:34.000000,1.5.0,32.0,ml-metadata,,,,,192.0,174.0,https://pypi.org/project/ml-metadata,2021-11-30 00:03:34.000000,18.0,457200.0,457250.0,,,,,,,,3.0,1714.0,,,,,,,,,,,,,,,,,,,,\n372,TensorLayer,tensorlayer/tensorlayer,,reinforcement-learning,https://github.com/tensorlayer/TensorLayer,https://github.com/tensorlayer/TensorLayer,Apache-2.0,2016-06-07 15:55:16.000000,2021-12-03 08:14:02.000000,2021-10-29 08:29:08.000000,3350.0,1.0,1493,462.0,696.0,20.0,437.0,6810.0,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,132.0,27,True,2021-01-06 07:16:21.000000,2.2.4,82.0,tensorlayer,,,,['tensorflow'],39.0,,https://pypi.org/project/tensorlayer,2020-06-19 00:53:37.000000,39.0,2346.0,2366.0,,,,,,,,3.0,1292.0,,,,,,,,,,,,,,,,,,,,\n373,EfficientNet-PyTorch,lukemelas/EfficientNet-PyTorch,,pytorch-utils,https://github.com/lukemelas/EfficientNet-PyTorch,https://github.com/lukemelas/EfficientNet-PyTorch,Apache-2.0,2019-05-30 05:24:11.000000,2021-11-02 08:10:31.000000,2021-04-15 15:16:36.000000,162.0,,1333,128.0,50.0,130.0,134.0,6725.0,A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!).,24.0,27,True,2021-04-15 15:17:23.000000,0.7.1,13.0,efficientnet-pytorch,,,,['pytorch'],30.0,,https://pypi.org/project/efficientnet-pytorch,2021-04-15 15:17:23.000000,30.0,372374.0,423067.0,,,,,,,,2.0,1115254.0,,,,,,,,,,,,,,,,,,,,\n374,Trax,google/trax,,others,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000000,2022-01-05 15:13:34.000000,2021-12-23 23:40:26.000000,1591.0,19.0,673,148.0,1522.0,83.0,120.0,6715.0,Trax Deep Learning with Clear Code and Speed.,74.0,27,True,2021-10-26 20:29:38.000000,1.4.1,24.0,trax,,,,,40.0,40.0,https://pypi.org/project/trax,2021-10-26 20:27:35.000000,,3958.0,3958.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n375,Face Alignment,1adrianb/face-alignment,,image,https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44.000000,2021-12-21 17:46:18.000000,2021-08-04 06:54:21.000000,205.0,,1135,167.0,38.0,51.0,215.0,5464.0,2D and 3D Face alignment library build using pytorch.,23.0,27,True,2021-09-14 15:35:24.000000,1.3.5,11.0,face-alignment,,,,['pytorch'],8.0,,https://pypi.org/project/face-alignment,2021-09-14 15:35:24.000000,8.0,6816.0,6816.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n376,DoWhy,Microsoft/dowhy,,interpretability,https://github.com/microsoft/dowhy,https://github.com/microsoft/dowhy,MIT,2018-05-31 13:07:04.000000,2022-01-12 15:22:09.000000,2022-01-11 15:40:12.000000,476.0,15.0,545,118.0,192.0,54.0,118.0,3532.0,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,47.0,27,True,2022-01-10 08:50:57.000000,0.7,7.0,dowhy,conda-forge/dowhy,,,,83.0,80.0,https://pypi.org/project/dowhy,2022-01-10 08:51:22.000000,3.0,50437.0,50646.0,https://anaconda.org/conda-forge/dowhy,2021-04-28 19:20:04.698000,4182.0,,,,,2.0,24.0,,,,,,,,,,,,,,,,,,,,\n377,vaderSentiment,cjhutto/vaderSentiment,,nlp,https://github.com/cjhutto/vaderSentiment,https://github.com/cjhutto/vaderSentiment,MIT,2014-11-17 16:31:45.000000,2022-01-03 19:25:13.000000,2021-03-15 18:43:06.000000,127.0,,828,142.0,28.0,33.0,74.0,3334.0,VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based..,10.0,27,True,2020-05-22 15:07:00.000000,3.3.2,15.0,vadersentiment,,,,,3556.0,3382.0,https://pypi.org/project/vadersentiment,2020-05-22 15:07:00.000000,174.0,205853.0,205853.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n378,MMLSpark,Azure/mmlspark,,distributed-ml,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000000,2022-01-13 03:17:08.000000,2022-01-12 22:44:30.000000,1019.0,83.0,635,129.0,851.0,196.0,293.0,3072.0,Simple and Distributed Machine Learning.,81.0,27,True,2021-11-16 05:19:37.000000,0.9.4,23.0,mmlspark,,,,['spark'],,,https://pypi.org/project/mmlspark,2020-03-18 01:27:31.000000,,40925.0,40925.0,,,,,,,,3.0,,,,,,,,,,microsoft/SynapseML,,,,,,,,,,,\n379,sklearn-pandas,scikit-learn-contrib/sklearn-pandas,,data-containers,https://github.com/scikit-learn-contrib/sklearn-pandas,https://github.com/scikit-learn-contrib/sklearn-pandas,Zlib,2013-04-22 22:55:20.000000,2021-10-17 18:07:36.000000,2021-05-08 08:05:59.000000,287.0,,393,94.0,103.0,25.0,127.0,2539.0,Pandas integration with sklearn.,37.0,27,False,2021-05-08 08:32:08.000000,2.1.0,27.0,sklearn-pandas,,,,\"['sklearn', 'pandas']\",3545.0,3396.0,https://pypi.org/project/sklearn-pandas,2021-05-08 08:14:28.000000,149.0,425393.0,425393.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n380,cuML,rapidsai/cuml,,gpu-utilities,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000000,2022-01-13 15:38:00.000000,2022-01-13 14:14:41.000000,14635.0,103.0,369,70.0,2565.0,656.0,1292.0,2529.0,cuML - RAPIDS Machine Learning Library.,144.0,27,True,2021-12-08 19:17:51.000000,21.12.00,19.0,cuml,,,,,1.0,,https://pypi.org/project/cuml,2020-06-01 20:09:10.000000,1.0,552.0,552.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n381,eli5,TeamHG-Memex/eli5,,interpretability,https://github.com/TeamHG-Memex/eli5,https://github.com/TeamHG-Memex/eli5,MIT,2016-09-15 01:04:57.000000,2021-06-10 22:02:56.000000,2020-01-22 07:39:36.000000,1198.0,,313,70.0,166.0,153.0,111.0,2487.0,A library for debugging/inspecting machine learning classifiers and explaining their predictions.,14.0,27,False,2021-01-23 14:25:24.000000,0.11.0,28.0,eli5,conda-forge/eli5,,,,68.0,,https://pypi.org/project/eli5,2021-01-23 14:25:24.000000,68.0,1428611.0,1430523.0,https://anaconda.org/conda-forge/eli5,2021-01-25 08:24:59.385000,107077.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n382,neuralcoref,huggingface/neuralcoref,,nlp,https://github.com/huggingface/neuralcoref,https://github.com/huggingface/neuralcoref,MIT,2017-07-03 13:04:16.000000,2022-01-09 22:09:47.000000,2021-06-22 10:51:48.000000,116.0,,426,89.0,43.0,49.0,244.0,2468.0,Fast Coreference Resolution in spaCy with Neural Networks.,21.0,27,True,2019-04-08 11:28:27.000000,4.0.0,5.0,neuralcoref,conda-forge/neuralcoref,,,,451.0,437.0,https://pypi.org/project/neuralcoref,2019-04-08 09:56:00.000000,14.0,28138.0,28598.0,https://anaconda.org/conda-forge/neuralcoref,2020-02-21 22:10:40.453000,10473.0,,,,,3.0,302.0,,,,,,,,,,,,,,,,,,,,\n383,fastNLP,fastnlp/fastNLP,,nlp,https://github.com/fastnlp/fastNLP,https://github.com/fastnlp/fastNLP,Apache-2.0,2018-03-07 13:30:20.000000,2021-12-06 12:23:20.000000,2021-12-06 11:37:15.000000,1769.0,12.0,403,80.0,224.0,35.0,144.0,2462.0,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,54.0,27,True,2020-11-06 15:31:29.000000,0.6.0,10.0,fastnlp,,,,,58.0,55.0,https://pypi.org/project/fastnlp,2019-02-04 02:35:37.000000,3.0,1257.0,1258.0,,,,,,,,3.0,65.0,,,,,,,,,,,,,,,,,,,,\n384,analytics-zoo,intel-analytics/analytics-zoo,,distributed-ml,https://github.com/intel-analytics/analytics-zoo,https://github.com/intel-analytics/analytics-zoo,Apache-2.0,2017-05-05 02:27:30.000000,2022-01-13 07:07:42.000000,2022-01-06 06:14:45.000000,3419.0,26.0,706,103.0,3820.0,560.0,840.0,2456.0,\"Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray.\",105.0,27,True,2021-12-23 06:52:03.000000,0.11.1,208.0,analytics-zoo,,,,['spark'],3.0,3.0,https://pypi.org/project/analytics-zoo,2022-01-12 21:51:58.000000,,4214.0,4214.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n385,DeepVariant,google/deepvariant,,medical-data,https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000000,2021-12-16 06:56:52.044000,2021-12-10 22:24:30.000000,1840.0,55.0,582,161.0,48.0,7.0,447.0,2418.0,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,21.0,27,True,2021-12-10 07:12:31.000000,1.3.0,17.0,,bioconda/deepvariant,,,['tensorflow'],,,,,,,839.0,https://anaconda.org/bioconda/deepvariant,2021-12-16 06:56:52.044000,36648.0,,,,,3.0,3756.0,,,,,,,,,,,,,,,,,,,,\n386,PARL,PaddlePaddle/PARL,,reinforcement-learning,https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22.000000,2022-01-07 07:03:37.000000,2022-01-07 05:02:50.000000,418.0,14.0,605,55.0,488.0,71.0,235.0,2383.0,A high-performance distributed training framework for Reinforcement Learning.,28.0,27,True,2021-12-30 06:45:32.000000,2.0.3,23.0,parl,,,,['paddle'],86.0,86.0,https://pypi.org/project/parl,2021-12-30 06:45:32.000000,,760.0,760.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n387,StellarGraph,stellargraph/stellargraph,,graph,https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51.000000,2022-01-13 02:41:20.000000,2021-10-29 06:15:49.000000,2535.0,2.0,333,60.0,923.0,251.0,734.0,2251.0,StellarGraph - Machine Learning on Graphs.,36.0,27,True,2020-06-30 05:15:21.000000,1.2.1,25.0,stellargraph,,,,['tensorflow'],112.0,109.0,https://pypi.org/project/stellargraph,2020-06-30 05:10:43.000000,3.0,11800.0,11800.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n388,Alphalens,quantopian/alphalens,,financial-data,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15.000000,2021-12-05 06:35:06.000000,2020-04-27 18:40:41.000000,522.0,,804,161.0,213.0,38.0,145.0,2157.0,Performance analysis of predictive (alpha) stock factors.,25.0,27,False,2020-04-30 15:42:52.000000,0.4.0,10.0,alphalens,conda-forge/alphalens,,,,497.0,480.0,https://pypi.org/project/alphalens,2020-04-27 21:03:10.000000,17.0,2693.0,2993.0,https://anaconda.org/conda-forge/alphalens,2020-05-16 13:52:44.922000,14103.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n389,Hyperas,maxpumperla/hyperas,,hyperopt,https://github.com/maxpumperla/hyperas,https://github.com/maxpumperla/hyperas,MIT,2016-02-19 14:45:10.000000,2021-11-19 13:23:59.000000,2021-11-19 13:23:56.000000,211.0,2.0,305,61.0,37.0,90.0,158.0,2115.0,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,21.0,27,True,2019-02-28 09:16:54.000000,0.4.1,9.0,hyperas,,,,['tensorflow'],248.0,224.0,https://pypi.org/project/hyperas,2019-02-28 09:16:54.000000,24.0,13039.0,13039.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n390,accelerate,huggingface/accelerate,,pytorch-utils,https://github.com/huggingface/accelerate,https://github.com/huggingface/accelerate,Apache-2.0,2020-10-30 13:27:12.000000,2022-01-11 12:31:57.000000,2022-01-11 12:31:55.000000,217.0,9.0,121,40.0,79.0,50.0,100.0,2085.0,\"A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision.\",30.0,27,True,2021-09-27 15:05:40.000000,0.5.1,8.0,accelerate,,,,['pytorch'],281.0,277.0,https://pypi.org/project/accelerate,2021-09-27 15:04:05.000000,4.0,36710.0,36710.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n391,vidgear,abhiTronix/vidgear,,image,https://github.com/abhiTronix/vidgear,https://github.com/abhiTronix/vidgear,Apache-2.0,2019-03-17 02:42:42.000000,2021-12-13 02:51:59.000000,2021-12-05 10:14:09.000000,826.0,41.0,158,51.0,82.0,2.0,190.0,2078.0,A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features.,9.0,27,True,2021-12-05 13:04:13.000000,0.2.4,16.0,vidgear,,,,,167.0,164.0,https://pypi.org/project/vidgear,2021-12-05 13:04:13.000000,3.0,3098.0,3112.0,,,,,,,,3.0,507.0,,,,,,,,,,,,,,,,,,,,\n392,pandas-ta,twopirllc/pandas-ta,,probabilistics,https://github.com/twopirllc/pandas-ta,https://github.com/twopirllc/pandas-ta,MIT,2019-02-19 16:41:09.000000,2021-12-25 00:06:16.000000,2021-11-16 21:57:10.000000,580.0,1.0,465,70.0,122.0,57.0,276.0,2038.0,Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators.,44.0,27,True,2021-07-28 20:21:21.000000,0.3.14,19.0,pandas-ta,,,,['pandas'],400.0,390.0,https://pypi.org/project/pandas-ta,2021-07-28 20:51:17.000000,10.0,40878.0,40878.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n393,langid,saffsd/langid.py,,nlp,https://github.com/saffsd/langid.py,https://github.com/saffsd/langid.py,BSD-3-Clause,2011-04-29 00:16:56.000000,2020-01-01 10:49:30.000000,2017-07-15 02:49:17.000000,242.0,,277,65.0,14.0,26.0,45.0,1902.0,Stand-alone language identification system.,9.0,27,False,2016-04-05 22:34:15.000000,1.1.6,8.0,langid,,,,,1047.0,883.0,https://pypi.org/project/langid,2016-04-05 22:34:15.000000,164.0,317674.0,317674.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n394,dtreeviz,parrt/dtreeviz,,interpretability,https://github.com/parrt/dtreeviz,https://github.com/parrt/dtreeviz,MIT,2018-08-13 21:45:15.000000,2022-01-03 17:43:47.000000,2022-01-03 17:43:47.000000,374.0,5.0,243,45.0,59.0,20.0,94.0,1898.0,A python library for decision tree visualization and model interpretation.,17.0,27,True,2021-11-10 22:55:11.000000,1.3.2,25.0,dtreeviz,,,,,299.0,286.0,https://pypi.org/project/dtreeviz,2021-11-10 22:51:55.000000,13.0,56398.0,56398.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n395,mljar-supervised,mljar/mljar-supervised,,hyperopt,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000000,2021-12-06 08:40:00.000000,2021-12-06 08:40:00.000000,983.0,19.0,245,33.0,40.0,79.0,374.0,1739.0,\"Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and..\",14.0,27,True,2021-10-01 07:25:05.000000,0.11.1,75.0,mljar-supervised,,,,,35.0,35.0,https://pypi.org/project/mljar-supervised,2021-10-01 07:25:05.000000,,23298.0,23298.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n396,PyTextRank,DerwenAI/pytextrank,,nlp,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000000,2022-01-01 20:58:53.000000,2022-01-01 20:58:25.000000,407.0,4.0,322,62.0,122.0,20.0,59.0,1681.0,Python implementation of TextRank for phrase extraction and summarization of text documents.,18.0,27,True,2021-10-10 01:12:11.000000,3.2.2,18.0,pytextrank,,,,,233.0,222.0,https://pypi.org/project/pytextrank,2021-10-10 01:12:11.000000,11.0,15869.0,15869.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n397,tesserocr,sirfz/tesserocr,,ocr,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36.000000,2021-11-09 18:12:48.000000,2021-11-09 18:12:47.000000,178.0,1.0,202,52.0,58.0,77.0,158.0,1579.0,A Python wrapper for the tesseract-ocr API.,26.0,27,True,2021-06-19 21:10:18.000000,2.5.2,16.0,tesserocr,conda-forge/tesserocr,,,,658.0,597.0,https://pypi.org/project/tesserocr,2021-06-19 21:10:18.000000,61.0,52381.0,54718.0,https://anaconda.org/conda-forge/tesserocr,2021-01-13 16:38:14.456000,63106.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n398,Elephas,maxpumperla/elephas,,distributed-ml,https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19.000000,2021-11-18 11:51:00.000000,2021-08-17 01:01:38.000000,501.0,,290,105.0,46.0,25.0,137.0,1523.0,Distributed Deep learning with Keras & Spark.,27.0,27,True,2021-08-17 01:14:44.000000,3.0.0,22.0,elephas,,,,\"['keras', 'spark']\",55.0,52.0,https://pypi.org/project/elephas,2021-08-17 00:36:20.000000,3.0,16994.0,16994.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n399,chainercv,chainer/chainercv,,image,https://github.com/chainer/chainercv,https://github.com/chainer/chainercv,MIT,2017-02-13 04:15:10.000000,2021-07-01 16:54:50.000000,2020-01-07 11:48:31.000000,4930.0,,318,74.0,742.0,54.0,168.0,1465.0,ChainerCV: a Library for Deep Learning in Computer Vision.,39.0,27,False,2019-06-12 11:55:02.000000,0.13.1,24.0,chainercv,,,,,308.0,277.0,https://pypi.org/project/chainercv,2019-06-12 11:55:40.000000,31.0,2936.0,2936.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n400,Alibi,SeldonIO/alibi,,interpretability,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Apache-2.0,2019-02-26 10:10:56.000000,2022-01-13 00:00:52.000000,2022-01-12 10:19:07.000000,354.0,36.0,163,44.0,326.0,102.0,146.0,1464.0,Algorithms for explaining machine learning models.,18.0,27,True,2021-11-18 13:42:16.000000,0.6.2,21.0,alibi,,,,,147.0,130.0,https://pypi.org/project/alibi,2021-11-18 13:40:41.000000,17.0,34548.0,34548.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n401,metric-learn,scikit-learn-contrib/metric-learn,,others,https://github.com/scikit-learn-contrib/metric-learn,https://github.com/scikit-learn-contrib/metric-learn,MIT,2013-11-02 08:29:47.000000,2021-12-29 13:03:59.000000,2021-11-17 13:54:36.000000,280.0,7.0,216,49.0,177.0,52.0,117.0,1211.0,Metric learning algorithms in Python.,21.0,27,True,2020-07-02 12:59:23.000000,0.6.2,10.0,metric-learn,,,,['sklearn'],195.0,184.0,https://pypi.org/project/metric-learn,2020-07-02 12:59:23.000000,11.0,8209.0,8209.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n402,ogb,snap-stanford/ogb,,graph,https://github.com/snap-stanford/ogb,https://github.com/snap-stanford/ogb,MIT,2019-11-22 22:13:57.000000,2022-01-07 22:24:29.000000,2022-01-07 22:24:21.000000,578.0,5.0,246,38.0,29.0,,181.0,1201.0,\"Benchmark datasets, data loaders, and evaluators for graph machine learning.\",18.0,27,True,2021-09-29 04:42:13.000000,1.3.2,15.0,ogb,,,,,217.0,204.0,https://pypi.org/project/ogb,2021-09-29 04:33:43.000000,13.0,7131.0,7131.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n403,pycm,sepandhaghighi/pycm,,others,https://github.com/sepandhaghighi/pycm,https://github.com/sepandhaghighi/pycm,MIT,2018-01-22 19:46:54.000000,2022-01-11 20:41:57.000000,2021-10-27 05:51:03.000000,2773.0,16.0,102,34.0,237.0,19.0,161.0,1200.0,Multi-class confusion matrix library in Python.,16.0,27,True,2021-10-27 06:03:28.000000,3.3,37.0,pycm,,,,,135.0,123.0,https://pypi.org/project/pycm,2021-10-27 06:04:03.000000,12.0,31824.0,31824.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n404,Paddle Graph Learning,PaddlePaddle/PGL,,graph,https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28.000000,2021-12-29 06:30:55.000000,2021-12-29 04:06:09.000000,1035.0,182.0,194,25.0,266.0,38.0,65.0,1195.0,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,21.0,27,True,2021-12-29 04:02:35.000000,2.2.2,16.0,pgl,,,,['paddle'],25.0,23.0,https://pypi.org/project/pgl,2021-12-20 02:21:36.000000,2.0,1308.0,1308.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n405,Optimus,hi-primus/optimus,,data-pipelines,https://github.com/hi-primus/optimus,https://github.com/hi-primus/optimus,Apache-2.0,2017-07-13 02:31:18.000000,2022-01-12 03:25:47.000000,2022-01-12 03:25:43.000000,6189.0,122.0,205,38.0,991.0,30.0,195.0,1163.0,\"Agile Data Preparation Workflows madeeasy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark.\",25.0,27,True,2020-07-19 03:05:40.000000,2.2.32,85.0,optimuspyspark,,,,['spark'],,,https://pypi.org/project/optimuspyspark,2019-05-30 02:22:54.000000,,12396.0,12396.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n406,spacy-transformers,explosion/spacy-transformers,,nlp,https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000000,2022-01-13 11:54:04.000000,2021-12-16 08:05:17.000000,1385.0,16.0,134,28.0,153.0,,,1065.0,\"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.\",18.0,27,True,2021-12-07 09:10:50.000000,1.1.3,57.0,spacy-transformers,,,,['spacy'],369.0,356.0,https://pypi.org/project/spacy-transformers,2021-12-07 09:10:08.000000,13.0,62672.0,62672.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n407,Streamz,python-streamz/streamz,,time-series-data,https://github.com/python-streamz/streamz,https://github.com/python-streamz/streamz,BSD-3-Clause,2017-04-04 21:45:49.000000,2021-12-31 19:41:11.000000,2021-12-24 18:36:59.000000,781.0,21.0,131,31.0,210.0,103.0,145.0,1018.0,Real-time stream processing for python.,45.0,27,True,2021-10-04 14:47:39.000000,0.6.3,16.0,streamz,conda-forge/streamz,,,,288.0,259.0,https://pypi.org/project/streamz,2021-10-04 14:47:39.000000,29.0,8494.0,12994.0,https://anaconda.org/conda-forge/streamz,2021-10-04 16:06:59.119000,234032.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n408,kmodes,nicodv/kmodes,,others,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40.000000,2021-12-15 19:40:42.000000,2021-12-15 19:40:41.000000,472.0,2.0,357,53.0,30.0,19.0,122.0,949.0,\"Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data.\",20.0,27,True,2021-10-08 04:41:31.000000,0.11.1,14.0,kmodes,,,,,965.0,941.0,https://pypi.org/project/kmodes,2021-10-08 04:35:56.000000,24.0,239455.0,239455.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n409,pyclustering,annoviko/pyclustering,,others,https://github.com/annoviko/pyclustering,https://github.com/annoviko/pyclustering,BSD-3-Clause,2014-02-25 18:59:03.000000,2022-01-06 03:33:52.000000,2021-02-12 19:04:59.000000,2079.0,,214,38.0,33.0,58.0,589.0,911.0,\"pyclustring is a Python, C++ data mining library.\",26.0,27,True,2020-11-25 22:33:07.000000,0.10.1.2,46.0,pyclustering,conda-forge/pyclustering,,,,292.0,264.0,https://pypi.org/project/pyclustering,2020-11-25 22:41:20.000000,28.0,42295.0,43621.0,https://anaconda.org/conda-forge/pyclustering,2021-09-13 14:29:08.300000,33002.0,,,,,2.0,378.0,,,,,,,,,,,,,,,,,,,,\n410,mahotas,luispedro/mahotas,,image,https://github.com/luispedro/mahotas,https://github.com/luispedro/mahotas,MIT,2010-01-31 00:13:06.000000,2021-12-07 00:42:53.000000,2021-12-07 00:42:43.000000,1286.0,3.0,139,46.0,53.0,16.0,61.0,727.0,Computer Vision in Python.,32.0,27,True,2021-10-14 12:53:24.000000,1.4.12,58.0,mahotas,conda-forge/mahotas,,,,845.0,734.0,https://pypi.org/project/mahotas,2021-10-14 12:53:24.000000,111.0,8777.0,13207.0,https://anaconda.org/conda-forge/mahotas,2021-11-17 20:03:30.117000,310123.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n411,hvPlot,holoviz/hvplot,,data-viz,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000000,2022-01-12 07:42:35.000000,2021-12-16 11:17:47.000000,430.0,8.0,62,20.0,258.0,143.0,262.0,502.0,\"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.\",33.0,27,True,2021-07-26 16:25:50.000000,0.7.3,39.0,hvplot,conda-forge/hvplot,,,,1029.0,974.0,https://pypi.org/project/hvplot,2021-12-09 15:42:22.000000,55.0,86528.0,89995.0,https://anaconda.org/conda-forge/hvplot,2021-07-23 14:04:28.244000,142161.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n412,tinytag,devsnd/tinytag,,audio,https://github.com/devsnd/tinytag,https://github.com/devsnd/tinytag,MIT,2014-01-27 15:27:01.000000,2021-12-18 23:42:08.000000,2021-12-17 13:19:46.000000,345.0,16.0,87,22.0,48.0,12.0,75.0,499.0,\"Read audio and music meta data and duration of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA, Wave and AIFF files with python 2..\",21.0,27,True,2021-12-14 11:17:28.000000,1.7.0,35.0,tinytag,,,,,528.0,461.0,https://pypi.org/project/tinytag,2021-12-14 11:17:28.000000,67.0,13576.0,13576.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n413,Ciphey,Ciphey/Ciphey,,nlp,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39.000000,2021-12-06 03:13:19.000000,2021-11-03 02:20:58.000000,1873.0,2.0,578,192.0,433.0,51.0,233.0,9260.0,\"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.\",46.0,26,True,2021-06-06 17:14:16.000000,5.14.0,50.0,ciphey,,remnux/ciphey,,,,,https://pypi.org/project/ciphey,2021-06-06 17:13:48.000000,,10244.0,10718.0,,,,https://hub.docker.com/r/remnux/ciphey,2021-11-16 13:31:49.535232,5.0,14244.0,3.0,,,,,,,,,,,,,,,,,,,,,\n414,cortex,cortexlabs/cortex,,model-serialisation,https://github.com/cortexlabs/cortex,https://github.com/cortexlabs/cortex,Apache-2.0,2019-01-24 04:43:14.000000,2022-01-13 06:32:49.000000,2022-01-13 05:39:49.000000,2305.0,33.0,588,150.0,1340.0,106.0,975.0,7642.0,Production infrastructure for machine learning at scale.,23.0,26,True,2022-01-10 17:48:15.000000,0.42.0,62.0,cortex,,,,,1.0,,https://pypi.org/project/cortex,2022-01-10 17:37:01.000000,1.0,916.0,916.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n415,Apex,NVIDIA/apex,,gpu-utilities,https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000000,2022-01-12 19:22:43.000000,2021-12-17 05:42:38.000000,907.0,22.0,874,97.0,349.0,530.0,396.0,6005.0,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,88.0,26,True,,,1.0,,conda-forge/nvidia-apex,,,['pytorch'],846.0,846.0,,,,,2670.0,https://anaconda.org/conda-forge/nvidia-apex,2021-04-22 16:13:47.237000,72109.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n416,MMF,facebookresearch/mmf,,image,https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40.000000,2022-01-13 03:49:58.000000,2022-01-11 21:43:17.000000,1020.0,56.0,785,111.0,614.0,189.0,417.0,4753.0,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,89.0,26,True,2019-08-26 19:04:21.000000,0.3.1,12.0,mmf,,,,['pytorch'],11.0,10.0,https://pypi.org/project/mmf,2020-06-12 22:15:02.000000,1.0,450.0,450.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n417,Augmentor,mdbloice/Augmentor,,image,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55.000000,2021-10-15 05:38:50.000000,2021-10-15 05:38:50.000000,537.0,,830,129.0,58.0,122.0,70.0,4605.0,Image augmentation library in Python for machine learning.,22.0,26,True,2021-10-14 08:49:48.000000,0.2.9,21.0,Augmentor,,,,,423.0,394.0,https://pypi.org/project/Augmentor,2021-10-14 08:49:48.000000,29.0,7634.0,7634.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n418,TensorFlowOnSpark,yahoo/TensorFlowOnSpark,,distributed-ml,https://github.com/yahoo/TensorFlowOnSpark,https://github.com/yahoo/TensorFlowOnSpark,Apache-2.0,2017-01-20 18:15:57.000000,2022-01-10 17:58:14.000000,2022-01-10 17:58:10.000000,629.0,2.0,959,287.0,219.0,6.0,354.0,3751.0,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,34.0,26,True,2021-05-25 22:25:31.000000,2.2.4,31.0,tensorflowonspark,,,,\"['tensorflow', 'spark']\",5.0,,https://pypi.org/project/tensorflowonspark,2021-05-25 20:44:29.000000,5.0,378362.0,378362.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n419,ArrayFire,arrayfire/arrayfire,,gpu-utilities,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000000,2022-01-13 00:23:38.000000,2021-10-15 20:16:28.000000,5776.0,,492,152.0,1711.0,232.0,1266.0,3712.0,ArrayFire: a general purpose GPU library.,81.0,26,True,2021-01-08 21:41:09.000000,3.8.0,30.0,arrayfire,,,,,5.0,,https://pypi.org/project/arrayfire,2021-03-05 17:36:30.000000,5.0,528.0,550.0,,,,,,,,2.0,1795.0,,,,,,,,,,,,,,,,,,,,\n420,TensorTrade,tensortrade-org/tensortrade,,financial-data,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32.000000,2022-01-04 23:59:38.000000,2022-01-04 23:59:36.000000,946.0,27.0,831,245.0,171.0,25.0,178.0,3678.0,\"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.\",58.0,26,True,2021-05-10 18:04:30.000000,1.0.3,27.0,tensortrade,,,,,30.0,29.0,https://pypi.org/project/tensortrade,2021-05-10 18:00:35.000000,1.0,946.0,946.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n421,Snips NLU,snipsco/snips-nlu,,nlp,https://github.com/snipsco/snips-nlu,https://github.com/snipsco/snips-nlu,Apache-2.0,2017-02-08 16:16:36.000000,2021-11-17 15:23:01.000000,2021-05-03 12:18:31.000000,2154.0,,495,141.0,648.0,58.0,196.0,3591.0,Snips Python library to extract meaning from text.,22.0,26,True,2020-01-15 10:13:17.000000,0.20.2,58.0,snips-nlu,,,,,11.0,,https://pypi.org/project/snips-nlu,2020-01-15 10:13:17.000000,11.0,3078.0,3078.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n422,yellowbrick,DistrictDataLabs/yellowbrick,,interpretability,https://github.com/DistrictDataLabs/yellowbrick,https://github.com/DistrictDataLabs/yellowbrick,Apache-2.0,2016-05-18 14:12:17.000000,2022-01-05 19:25:57.000000,2022-01-05 19:25:56.000000,862.0,2.0,495,106.0,573.0,95.0,547.0,3471.0,Visual analysis and diagnostic tools to facilitate machine learning model selection.,102.0,26,True,2021-02-13 20:31:18.000000,1.3.post1,22.0,yellowbrick,,,,['sklearn'],47.0,,https://pypi.org/project/yellowbrick,2021-02-13 20:42:26.000000,47.0,255273.0,255273.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n423,pytorch-summary,sksq96/pytorch-summary,,pytorch-utils,https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04.000000,2021-06-20 09:40:21.000000,2021-05-10 18:34:53.000000,57.0,,377,35.0,49.0,118.0,39.0,3368.0,Model summary in PyTorch similar to `model.summary()` in Keras.,11.0,26,True,2018-09-26 05:07:28.000000,1.5.1,12.0,torchsummary,,,,['pytorch'],4131.0,4060.0,https://pypi.org/project/torchsummary,2018-09-26 05:07:28.000000,71.0,55226.0,55226.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n424,SHOGUN,shogun-toolbox/shogun,,ml-frameworks,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32.000000,2021-07-19 16:40:30.000000,2020-12-08 16:56:38.000000,17588.0,,1047,218.0,3647.0,437.0,1101.0,2865.0,Unified and efficient Machine Learning.,248.0,26,False,2019-07-05 10:23:31.000000,shogun_6.1.4,10.0,,conda-forge/shogun,shogun/shogun,,,,,,,,,2053.0,https://anaconda.org/conda-forge/shogun,2018-06-25 20:49:17.070000,110287.0,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1477.0,3.0,,,,,,,,,,,shogun,,,,,,,,,,\n425,Hummingbird,microsoft/hummingbird,,model-serialisation,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000000,2022-01-12 22:41:11.000000,2022-01-12 22:31:17.000000,363.0,8.0,207,48.0,334.0,54.0,180.0,2719.0,Hummingbird compiles trained ML models into tensor computation for faster inference.,27.0,26,True,2021-12-14 19:31:26.000000,0.4.2,15.0,hummingbird-ml,,,,,20.0,20.0,https://pypi.org/project/hummingbird-ml,2021-12-14 19:28:14.000000,,1458.0,1465.0,,,,,,,,2.0,147.0,,,,,,,,,,,,,,,,,,,,\n426,Mars,mars-project/mars,,others,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03.000000,2022-01-12 05:02:45.000000,2022-01-12 03:28:24.000000,1004.0,43.0,290,86.0,1688.0,150.0,786.0,2331.0,\"Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and..\",39.0,26,True,2021-12-16 07:30:04.000000,0.8.0,102.0,pymars,,,,,1.0,,https://pypi.org/project/pymars,2021-12-16 07:30:04.000000,1.0,2222.0,2222.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n427,Enigma Catalyst,enigmampc/catalyst,,financial-data,https://github.com/scrtlabs/catalyst,https://github.com/scrtlabs/catalyst,Apache-2.0,2017-06-13 22:31:34.000000,2021-09-22 15:32:01.000000,2021-09-22 15:31:55.000000,6364.0,,684,165.0,93.0,123.0,358.0,2319.0,An Algorithmic Trading Library for Crypto-Assets in Python.,147.0,26,True,2018-11-11 16:46:28.000000,0.5.21,52.0,enigma-catalyst,,,,,25.0,23.0,https://pypi.org/project/enigma-catalyst,2018-11-11 16:46:28.000000,2.0,1297.0,1297.0,,,,,,,,3.0,,,,,,,,,,scrtlabs/catalyst,,,,,,,,,,,\n428,scikit-plot,reiinakano/scikit-plot,,interpretability,https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59.000000,2021-08-11 23:58:11.000000,2018-08-19 12:37:47.000000,130.0,,257,65.0,57.0,21.0,39.0,2166.0,An intuitive library to add plotting functionality to scikit-learn objects.,13.0,26,False,2018-08-19 12:21:01.000000,0.3.7,27.0,scikit-plot,conda-forge/scikit-plot,,,['sklearn'],1636.0,1596.0,https://pypi.org/project/scikit-plot,2018-08-19 12:18:46.000000,40.0,260242.0,262171.0,https://anaconda.org/conda-forge/scikit-plot,2019-06-05 14:23:59.043000,104206.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n429,DDSP,magenta/ddsp,,audio,https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27.000000,2021-12-24 01:02:02.000000,2021-12-21 01:12:56.000000,426.0,30.0,214,62.0,264.0,22.0,105.0,2035.0,DDSP: Differentiable Digital Signal Processing.,29.0,26,True,2021-12-24 01:02:03.000000,1.9.0,40.0,ddsp,,,,['tensorflow'],20.0,19.0,https://pypi.org/project/ddsp,2021-12-24 01:00:12.000000,1.0,2552.0,2552.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n430,PyFunctional,EntilZha/PyFunctional,,data-pipelines,https://github.com/EntilZha/PyFunctional,https://github.com/EntilZha/PyFunctional,MIT,2015-02-05 17:17:51.000000,2021-11-26 14:50:52.000000,2021-11-05 18:58:53.000000,520.0,1.0,107,52.0,43.0,6.0,119.0,1960.0,Python library for creating data pipelines with chain functional programming.,25.0,26,True,2021-01-12 19:21:07.000000,1.4.3,14.0,pyfunctional,,,,,390.0,378.0,https://pypi.org/project/pyfunctional,2021-01-12 19:14:48.000000,12.0,71459.0,71459.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n431,polyglot,aboSamoor/polyglot,,nlp,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,GPL-3.0,2014-06-30 02:07:45.000000,2021-04-28 03:41:03.000000,2020-09-22 22:35:28.000000,271.0,,310,80.0,49.0,147.0,64.0,1938.0,Multilingual text (NLP) processing toolkit.,26.0,26,False,2016-07-03 20:05:42.000000,16.7.4,9.0,polyglot,,,,,721.0,637.0,https://pypi.org/project/polyglot,2016-07-03 20:05:42.000000,84.0,67663.0,67663.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n432,efficientnet,qubvel/efficientnet,,tensorflow-utils,https://github.com/qubvel/efficientnet,https://github.com/qubvel/efficientnet,Apache-2.0,2019-05-30 20:21:09.000000,2021-08-16 07:14:52.000000,2021-07-16 09:03:20.000000,66.0,,434,37.0,41.0,59.0,56.0,1932.0,Implementation of EfficientNet model. Keras and TensorFlow Keras.,10.0,26,True,2020-09-15 16:26:00.000000,1.1.1,9.0,efficientnet,,,,['tensorflow'],865.0,858.0,https://pypi.org/project/efficientnet,2020-09-15 16:26:00.000000,7.0,69578.0,75809.0,,,,,,,,3.0,199405.0,,,,,,,,,,,,,,,,,,,,\n433,swifter,jmcarpenter2/swifter,,data-containers,https://github.com/jmcarpenter2/swifter,https://github.com/jmcarpenter2/swifter,MIT,2018-04-07 21:37:19.000000,2022-01-13 02:31:36.000000,2021-06-25 21:30:09.000000,427.0,,86,26.0,64.0,23.0,83.0,1863.0,A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner.,14.0,26,True,2021-06-25 21:31:10.000000,1.0.9,73.0,swifter,conda-forge/swifter,,,['pandas'],481.0,454.0,https://pypi.org/project/swifter,2021-06-25 21:31:10.000000,27.0,91459.0,95282.0,https://anaconda.org/conda-forge/swifter,2021-06-26 01:03:15.021000,126164.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n434,scattertext,JasonKessler/scattertext,,nlp,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12.000000,2021-11-15 13:11:26.058000,2021-11-15 03:48:32.000000,356.0,5.0,238,53.0,11.0,17.0,68.0,1738.0,Beautiful visualizations of how language differs among document types.,12.0,26,True,2021-11-15 04:01:17.000000,0.1.5,134.0,scattertext,conda-forge/scattertext,,,,264.0,254.0,https://pypi.org/project/scattertext,2021-11-15 04:01:17.000000,10.0,3336.0,4456.0,https://anaconda.org/conda-forge/scattertext,2021-11-15 13:11:26.058000,59406.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n435,mtcnn,ipazc/mtcnn,,image,https://github.com/ipazc/mtcnn,https://github.com/ipazc/mtcnn,MIT,2018-01-05 04:08:32.000000,2021-11-22 17:31:06.000000,2021-07-09 11:06:18.000000,56.0,,433,41.0,21.0,62.0,37.0,1700.0,\"MTCNN face detection implementation for TensorFlow, as a PIP package.\",15.0,26,True,2021-07-09 11:16:39.000000,0.1.1,11.0,mtcnn,,,,['tensorflow'],1874.0,1831.0,https://pypi.org/project/mtcnn,2021-07-09 11:16:39.000000,43.0,32898.0,32898.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n436,zenml,maiot-io/zenml,,data-pipelines,https://github.com/zenml-io/zenml,https://github.com/zenml-io/zenml,Apache-2.0,2020-11-19 09:25:46.000000,2022-01-13 15:39:55.000000,2022-01-13 13:55:10.000000,4053.0,1766.0,93,29.0,237.0,9.0,47.0,1583.0,ZenML : MLOps framework to create reproducible pipelines.,23.0,26,True,2022-01-13 14:04:38.000000,0.5.7,44.0,zenml,,,,,,,https://pypi.org/project/zenml,2022-01-13 14:04:38.000000,,566.0,566.0,,,,,,,,3.0,,,,,,,,,,zenml-io/zenml,,,,,,,,,,,\n437,TensorFlow Privacy,tensorflow/privacy,,privacy-ml,https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000000,2022-01-10 17:58:40.000000,2022-01-10 17:58:39.000000,566.0,18.0,331,62.0,43.0,62.0,86.0,1536.0,Library for training machine learning models with privacy for training data.,43.0,26,True,2021-09-01 02:54:34.000000,0.7.3,17.0,tensorflow-privacy,,,,['tensorflow'],6.0,,https://pypi.org/project/tensorflow-privacy,2021-09-01 02:54:34.000000,6.0,21769.0,21771.0,,,,,,,,3.0,59.0,,,,,,,,,,,,,,,,,,,,\n438,lightly,lightly-ai/lightly,,image,https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000000,2022-01-12 17:02:31.000000,2022-01-06 12:38:49.000000,592.0,74.0,93,24.0,364.0,63.0,233.0,1395.0,A python library for self-supervised learning on images.,14.0,26,True,2022-01-04 15:25:45.000000,1.2.2,38.0,lightly,,,,['pytorch'],27.0,26.0,https://pypi.org/project/lightly,2022-01-04 15:27:58.000000,1.0,1850.0,1850.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n439,Mesh,tensorflow/mesh,,distributed-ml,https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34.000000,2021-11-09 23:55:29.000000,2021-10-18 19:57:56.000000,643.0,1.0,198,40.0,293.0,88.0,14.0,1174.0,Mesh TensorFlow: Model Parallelism Made Easier.,44.0,26,True,2021-03-24 19:03:46.000000,0.1.19,25.0,mesh-tensorflow,,,,['tensorflow'],651.0,619.0,https://pypi.org/project/mesh-tensorflow,2021-03-24 19:03:46.000000,32.0,159439.0,159439.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n440,SciSpacy,allenai/scispacy,,nlp,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52.000000,2022-01-11 22:00:30.000000,2021-07-15 18:43:58.000000,947.0,,145,54.0,178.0,36.0,197.0,1075.0,A full spaCy pipeline and models for scientific/biomedical documents.,21.0,26,True,2021-02-12 22:56:06.000000,0.4.0,10.0,scispacy,,,,,387.0,376.0,https://pypi.org/project/scispacy,2021-02-12 22:56:06.000000,11.0,19244.0,19244.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n441,openTSNE,pavlin-policar/openTSNE,,data-viz,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000000,2021-11-13 15:59:24.399000,2021-10-25 08:00:42.000000,578.0,21.0,99,25.0,104.0,4.0,95.0,942.0,\"Extensible, parallel implementations of t-SNE.\",10.0,26,True,2021-10-25 08:35:29.000000,0.6.1,22.0,opentsne,conda-forge/opentsne,,,,282.0,274.0,https://pypi.org/project/opentsne,2021-10-25 08:35:29.000000,8.0,15006.0,18483.0,https://anaconda.org/conda-forge/opentsne,2021-11-13 15:59:24.399000,128658.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n442,bcolz,Blosc/bcolz,,data-containers,https://github.com/Blosc/bcolz,https://github.com/Blosc/bcolz,BSD-3-Clause,2010-08-18 15:27:02.000000,2021-09-07 20:42:40.000000,2020-09-10 12:12:45.000000,1280.0,,134,60.0,176.0,133.0,122.0,938.0,A columnar data container that can be compressed.,33.0,26,False,2018-04-13 07:44:26.000000,1.2.1,23.0,bcolz,conda-forge/bcolz,,,,2192.0,1689.0,https://pypi.org/project/bcolz,2018-04-13 07:44:26.000000,503.0,13453.0,18232.0,https://anaconda.org/conda-forge/bcolz,2019-11-05 21:09:48.045000,281965.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n443,stockstats,jealous/stockstats,,financial-data,https://github.com/jealous/stockstats,https://github.com/jealous/stockstats,BSD-3-Clause,2016-06-05 15:21:22.000000,2022-01-07 14:52:00.000000,2022-01-07 14:51:56.000000,41.0,15.0,249,49.0,34.0,3.0,76.0,932.0,Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.,8.0,26,True,2022-01-07 11:43:24.000000,0.4.1,16.0,stockstats,,,,,410.0,381.0,https://pypi.org/project/stockstats,2022-01-07 11:43:24.000000,29.0,10743.0,10743.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n444,Neural Structured Learning,tensorflow/neural-structured-learning,,tensorflow-utils,https://github.com/tensorflow/neural-structured-learning,https://github.com/tensorflow/neural-structured-learning,Apache-2.0,2019-08-27 21:48:16.000000,2022-01-04 19:45:49.000000,2022-01-04 19:45:45.000000,496.0,10.0,163,43.0,49.0,3.0,57.0,892.0,Training neural models with structured signals.,31.0,26,True,2020-08-18 00:35:35.000000,1.3.1,7.0,neural-structured-learning,,,,['tensorflow'],162.0,160.0,https://pypi.org/project/neural-structured-learning,2020-08-18 00:35:35.000000,2.0,9558.0,9558.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n445,empyrical,quantopian/empyrical,,financial-data,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52.000000,2020-10-14 13:28:13.625000,2020-10-14 13:22:39.000000,167.0,,276,70.0,83.0,27.0,26.0,883.0,Common financial risk and performance metrics. Used by zipline and pyfolio.,22.0,26,False,2020-10-13 21:29:19.000000,0.5.5,21.0,empyrical,conda-forge/empyrical,,,,911.0,777.0,https://pypi.org/project/empyrical,2020-10-13 21:29:19.000000,134.0,19870.0,20179.0,https://anaconda.org/conda-forge/empyrical,2020-10-14 13:28:13.625000,14557.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n446,PySwarms,ljvmiranda921/pyswarms,,others,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45.000000,2021-12-03 19:52:38.000000,2021-06-23 11:19:05.000000,409.0,,284,32.0,290.0,16.0,181.0,873.0,A research toolkit for particle swarm optimization in Python.,43.0,26,True,2021-01-03 21:34:15.000000,1.3.0,20.0,pyswarms,,,,,155.0,149.0,https://pypi.org/project/pyswarms,2021-01-03 21:34:15.000000,6.0,29575.0,29575.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n447,ploomber,ploomber/ploomber,,data-pipelines,https://github.com/ploomber/ploomber,https://github.com/ploomber/ploomber,Apache-2.0,2020-01-20 20:13:06.000000,2022-01-13 01:13:51.000000,2022-01-12 04:48:03.000000,2285.0,189.0,66,16.0,45.0,92.0,339.0,870.0,\"Write maintainable, production-ready pipelines using Jupyter or your favorite text editor. Develop locally, deploy to..\",25.0,26,True,2022-01-08 04:38:55.000000,0.14.4,67.0,ploomber,,,,,30.0,26.0,https://pypi.org/project/ploomber,2022-01-08 04:38:55.000000,4.0,4274.0,4274.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n448,GPyOpt,SheffieldML/GPyOpt,,hyperopt,https://github.com/SheffieldML/GPyOpt,https://github.com/SheffieldML/GPyOpt,BSD-3-Clause,2014-08-13 09:58:25.000000,2020-11-17 10:32:02.000000,2020-11-05 15:16:04.000000,514.0,,239,42.0,72.0,99.0,186.0,788.0,Gaussian Process Optimization using GPy.,49.0,26,False,2020-03-19 21:21:18.000000,1.2.6,11.0,gpyopt,,,,,270.0,238.0,https://pypi.org/project/gpyopt,2020-03-19 11:37:45.000000,32.0,11862.0,11862.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n449,pythreejs,jupyter-widgets/pythreejs,,data-viz,https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,BSD-3-Clause,2013-12-23 17:02:11.000000,2021-12-06 21:48:19.000000,2021-12-06 21:48:19.000000,1667.0,6.0,162,40.0,161.0,67.0,144.0,782.0,A Jupyter - Three.js bridge.,29.0,26,True,2021-02-26 14:01:21.000000,2.3.0,43.0,pythreejs,conda-forge/pythreejs,,,['jupyter'],60.0,19.0,https://pypi.org/project/pythreejs,2021-02-26 14:01:21.000000,34.0,28221.0,38020.0,https://anaconda.org/conda-forge/pythreejs,2021-03-02 13:32:39.505000,359902.0,,,,,3.0,,,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,2021-02-26 13:59:06.062000,7.0,4507.0,,,,,,,,,,,,,\n450,lets-plot,JetBrains/lets-plot,,data-viz,https://github.com/JetBrains/lets-plot,https://github.com/JetBrains/lets-plot,MIT,2019-03-20 16:13:03.000000,2022-01-12 21:00:35.000000,2022-01-12 21:00:32.000000,2325.0,131.0,32,140.0,268.0,74.0,157.0,711.0,An open-source plotting library for statistical data.,16.0,26,True,2021-12-10 17:04:12.000000,2.2.1,45.0,lets-plot,,,,,13.0,12.0,https://pypi.org/project/lets-plot,2021-12-10 16:26:26.000000,1.0,1529.0,1535.0,,,,,,,,3.0,170.0,,,,,,,,,,,,,,,,,,,,\n451,SMAC3,automl/SMAC3,,hyperopt,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-3-Clause,2016-08-17 10:58:05.000000,2022-01-13 10:51:55.000000,2021-11-05 09:44:04.000000,2048.0,2.0,170,41.0,454.0,68.0,287.0,648.0,Sequential Model-based Algorithm Configuration.,38.0,26,True,2021-10-21 07:38:01.000000,1.1.0,34.0,smac,,,,,32.0,,https://pypi.org/project/smac,2021-11-05 10:44:49.000000,32.0,17642.0,17642.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n452,GeoViews,holoviz/geoviews,,geospatial-data,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000000,2022-01-13 13:20:50.024000,2021-12-25 17:12:31.000000,676.0,12.0,69,27.0,257.0,105.0,191.0,391.0,\"Simple, concise geographical visualization in Python.\",25.0,26,True,2021-12-25 18:09:47.000000,1.9.3,32.0,geoviews,conda-forge/geoviews,,,,25.0,,https://pypi.org/project/geoviews,2021-12-25 17:22:46.000000,25.0,8850.0,10809.0,https://anaconda.org/conda-forge/geoviews,2022-01-13 13:20:50.024000,90133.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n453,pyvips,libvips/pyvips,,image,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000000,2021-12-30 09:47:00.631000,2021-12-15 10:05:34.000000,411.0,11.0,33,8.0,34.0,100.0,163.0,379.0,python binding for libvips using cffi.,12.0,26,True,2021-11-20 11:46:55.000000,2.1.16,22.0,pyvips,conda-forge/pyvips,,,,286.0,258.0,https://pypi.org/project/pyvips,2021-11-20 11:46:55.000000,28.0,12597.0,13086.0,https://anaconda.org/conda-forge/pyvips,2021-12-30 09:47:00.631000,14184.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n454,EarthPy,earthlab/earthpy,,geospatial-data,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000000,2021-12-29 07:01:15.000000,2021-12-20 23:24:01.000000,1186.0,3.0,123,21.0,526.0,16.0,207.0,315.0,A package built to support working with spatial data using open source python.,40.0,26,True,2021-10-01 22:51:04.000000,0.9.4,23.0,earthpy,conda-forge/earthpy,,,,125.0,118.0,https://pypi.org/project/earthpy,2021-10-01 22:51:04.000000,7.0,5660.0,6876.0,https://anaconda.org/conda-forge/earthpy,2021-10-04 19:35:49.510000,40158.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n455,StaticFrame,InvestmentSystems/static-frame,,data-containers,https://github.com/InvestmentSystems/static-frame,https://github.com/InvestmentSystems/static-frame,MIT,2018-01-03 15:07:52.000000,2022-01-13 01:47:00.000000,2022-01-13 01:46:56.000000,3428.0,383.0,23,11.0,56.0,40.0,325.0,258.0,Immutable and grow-only Pandas-like DataFrames with a more explicit and consistent interface.,16.0,26,False,2021-12-20 19:41:09.000000,0.8.33,132.0,static-frame,conda-forge/static-frame,,,,12.0,10.0,https://pypi.org/project/static-frame,2021-12-20 19:39:53.000000,2.0,987.0,4753.0,https://anaconda.org/conda-forge/static-frame,2021-12-20 22:01:27.147000,131816.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n456,Orion,Epistimio/orion,,hyperopt,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21.000000,2022-01-12 18:54:42.000000,2022-01-12 13:37:45.000000,3050.0,72.0,44,12.0,507.0,105.0,145.0,215.0,Asynchronous Distributed Hyperparameter Optimization.,24.0,26,False,2021-11-26 18:02:35.000000,0.2.1,20.0,orion,,,,,55.0,49.0,https://pypi.org/project/orion,2021-11-26 18:02:35.000000,6.0,2510.0,2510.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n457,snownlp,isnowfy/snownlp,,chinese-nlp,https://github.com/isnowfy/snownlp,https://github.com/isnowfy/snownlp,MIT,2013-11-26 11:46:56.000000,2020-01-19 02:39:05.000000,2020-01-19 02:39:03.000000,57.0,,1298,352.0,14.0,39.0,65.0,5678.0,Python library for processing Chinese text.,8.0,25,False,2015-09-27 16:35:23.000000,0.12.3,17.0,snownlp,,,,,816.0,777.0,https://pypi.org/project/snownlp,2015-09-27 16:35:23.000000,39.0,6682.0,6682.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n458,mmdnn,Microsoft/MMdnn,,model-serialisation,https://github.com/microsoft/MMdnn,https://github.com/microsoft/MMdnn,MIT,2017-08-16 08:03:52.000000,2021-03-01 14:17:24.000000,2020-08-14 02:32:30.000000,1083.0,,964,185.0,323.0,327.0,289.0,5483.0,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,85.0,25,False,2020-07-24 06:34:39.000000,0.3.1,12.0,mmdnn,,,,,71.0,68.0,https://pypi.org/project/mmdnn,2020-07-24 06:34:39.000000,3.0,790.0,859.0,,,,,,,,3.0,3477.0,,,,,,,,,,,,,,,,,,,,\n459,flashtext,vi3k6i5/flashtext,,nlp,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01.000000,2021-07-26 20:38:52.000000,2020-05-03 07:13:22.000000,108.0,,556,141.0,30.0,54.0,51.0,5028.0,Extract Keywords from sentence or Replace keywords in sentences.,7.0,25,False,,,18.0,flashtext,,,,,692.0,661.0,https://pypi.org/project/flashtext,2018-02-16 05:24:17.000000,31.0,477577.0,477577.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n460,textgenrnn,minimaxir/textgenrnn,,nlp,https://github.com/minimaxir/textgenrnn,https://github.com/minimaxir/textgenrnn,MIT,2017-08-07 02:13:37.000000,2021-12-17 04:03:09.000000,2020-07-14 02:41:10.000000,174.0,,708,142.0,41.0,117.0,88.0,4603.0,Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines..,19.0,25,False,2020-02-03 01:07:00.000000,2.0.0,14.0,textgenrnn,,,,['tensorflow'],971.0,956.0,https://pypi.org/project/textgenrnn,2020-02-02 21:16:15.000000,15.0,550.0,563.0,,,,,,,,3.0,627.0,,,,,,,,,,,,,,,,,,,,\n461,mace,XiaoMi/mace,,ml-frameworks,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12.000000,2022-01-13 09:55:14.000000,2022-01-13 09:11:57.000000,3324.0,37.0,776,229.0,103.0,41.0,612.0,4551.0,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,63.0,25,True,2022-01-13 09:55:14.000000,1.1.1,12.0,,,,,,,,,,,,34.0,,,,,,,,3.0,1399.0,,,,,,,,,,,,,,,,,,,,\n462,Lucid,tensorflow/lucid,,interpretability,https://github.com/tensorflow/lucid,https://github.com/tensorflow/lucid,Apache-2.0,2018-01-25 17:41:44.000000,2021-07-02 01:49:08.000000,2021-03-19 15:48:33.000000,667.0,,592,160.0,127.0,70.0,100.0,4356.0,A collection of infrastructure and tools for research in neural network interpretability.,40.0,25,True,2021-03-19 16:01:00.000000,0.3.10,17.0,lucid,,,,['tensorflow'],604.0,598.0,https://pypi.org/project/lucid,2021-03-19 16:01:00.000000,6.0,929.0,929.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n463,torchdiffeq,rtqichen/torchdiffeq,,pytorch-utils,https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25.000000,2021-09-22 21:49:42.000000,2021-09-22 21:49:42.000000,224.0,,670,123.0,33.0,28.0,130.0,3873.0,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,20.0,25,True,2021-06-02 23:04:51.000000,0.2.2,6.0,torchdiffeq,,,,['pytorch'],191.0,185.0,https://pypi.org/project/torchdiffeq,2021-06-02 23:04:51.000000,6.0,33465.0,33465.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n464,segmentation_models,qubvel/segmentation_models,,image,https://github.com/qubvel/segmentation_models,https://github.com/qubvel/segmentation_models,MIT,2018-06-05 13:27:56.000000,2022-01-04 21:11:23.000000,2020-04-17 09:51:20.000000,204.0,,848,94.0,56.0,202.0,254.0,3629.0,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,14.0,25,False,2020-01-10 11:36:02.000000,1.0.1,8.0,segmentation_models,,,,['tensorflow'],24.0,,https://pypi.org/project/segmentation_models,2020-01-10 11:36:02.000000,24.0,45884.0,45884.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n465,PyAlgoTrade,gbeced/pyalgotrade,,financial-data,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54.000000,2021-11-28 22:07:38.000000,2018-08-21 02:42:52.000000,1156.0,,1216,351.0,50.0,45.0,84.0,3586.0,Python Algorithmic Trading Library.,11.0,25,False,,,8.0,pyalgotrade,,,,,121.0,100.0,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25.000000,21.0,737.0,737.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n466,Stable Baselines,hill-a/stable-baselines,,reinforcement-learning,https://github.com/hill-a/stable-baselines,https://github.com/hill-a/stable-baselines,MIT,2018-07-02 14:28:59.000000,2021-08-25 09:25:32.000000,2021-08-25 09:25:32.000000,838.0,,658,65.0,246.0,128.0,799.0,3408.0,\"A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.\",112.0,25,True,2021-04-06 12:37:09.000000,2.10.2,31.0,stable-baselines,,,,,34.0,,https://pypi.org/project/stable-baselines,2021-04-06 12:37:09.000000,34.0,9117.0,9117.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n467,River,online-ml/river,,others,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000000,2022-01-05 22:22:10.000000,2022-01-05 22:18:56.000000,3232.0,40.0,322,78.0,273.0,6.0,329.0,3023.0,Online machine learning in Python.,70.0,25,True,2021-12-01 16:11:26.000000,0.9.0,1.0,,,,,,66.0,66.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n468,xLearn,aksnzhy/xlearn,,ml-frameworks,https://github.com/aksnzhy/xlearn,https://github.com/aksnzhy/xlearn,Apache-2.0,2017-06-10 08:09:31.000000,2021-01-28 14:17:44.000000,2020-03-03 10:12:35.000000,1340.0,,528,108.0,70.0,193.0,110.0,2972.0,\"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..\",30.0,25,False,2019-04-25 02:10:05.000000,0.4.4,15.0,xlearn,,,,,86.0,74.0,https://pypi.org/project/xlearn,2018-12-04 11:05:06.000000,12.0,1968.0,2034.0,,,,,,,,3.0,3063.0,,,,,,,,,,,,,,,,,,,,\n469,keras-vis,raghakot/keras-vis,,interpretability,https://github.com/raghakot/keras-vis,https://github.com/raghakot/keras-vis,MIT,2016-11-11 23:27:34.000000,2020-04-20 01:03:13.000000,2020-04-20 01:03:12.000000,195.0,,615,71.0,24.0,114.0,101.0,2907.0,Neural network visualization toolkit for keras.,10.0,25,False,2017-07-06 04:55:04.000000,0.4.1,11.0,keras-vis,,,,['tensorflow'],1585.0,1556.0,https://pypi.org/project/keras-vis,2017-07-06 04:55:04.000000,29.0,3114.0,3114.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n470,facenet-pytorch,timesler/facenet-pytorch,,image,https://github.com/timesler/facenet-pytorch,https://github.com/timesler/facenet-pytorch,MIT,2019-05-25 01:29:24.000000,2021-12-13 14:59:32.000000,2021-12-13 12:07:11.000000,235.0,1.0,555,38.0,44.0,55.0,89.0,2622.0,Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models.,14.0,25,True,2021-03-10 01:00:20.000000,2.5.2,31.0,facenet-pytorch,,,,['pytorch'],605.0,598.0,https://pypi.org/project/facenet-pytorch,2021-03-10 01:00:20.000000,7.0,12176.0,19143.0,,,,,,,,3.0,181143.0,,,,,,,,,,,,,,,,,,,,\n471,tensorflow-graphics,tensorflow/graphics,,image,https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44.000000,2022-01-10 17:15:58.000000,2022-01-06 22:47:06.000000,747.0,18.0,335,89.0,519.0,129.0,89.0,2581.0,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,34.0,25,True,2021-12-03 22:33:39.000000,2021.12.3,25.0,tensorflow-graphics,,,,['tensorflow'],4.0,,https://pypi.org/project/tensorflow-graphics,2021-12-03 22:33:39.000000,4.0,2557.0,2557.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n472,PandasGUI,adamerose/pandasgui,,data-viz,https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT-0,2019-06-12 02:19:42.000000,2022-01-12 14:48:21.000000,2022-01-12 14:48:21.000000,711.0,5.0,157,49.0,28.0,33.0,113.0,2519.0,A GUI for Pandas DataFrames.,11.0,25,False,2021-08-14 09:14:51.000000,0.2.13,43.0,pandasgui,,,,['pandas'],129.0,124.0,https://pypi.org/project/pandasgui,2021-08-14 09:14:51.000000,5.0,8165.0,8165.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n473,pytorchvideo,facebookresearch/pytorchvideo,,image,https://github.com/facebookresearch/pytorchvideo,https://github.com/facebookresearch/pytorchvideo,Apache-2.0,2021-03-09 20:39:13.000000,2022-01-13 04:03:20.000000,2022-01-11 15:01:51.000000,115.0,16.0,212,46.0,57.0,58.0,74.0,2216.0,A deep learning library for video understanding research.,24.0,25,True,2021-09-14 00:17:10.000000,0.1.3,8.0,pytorchvideo,,,,['pytorch'],3.0,,https://pypi.org/project/pytorchvideo,2021-09-14 00:17:10.000000,3.0,11231.0,11231.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n474,Spektral,danielegrattarola/spektral,,graph,https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10.000000,2021-12-15 18:13:55.000000,2021-10-26 09:35:54.000000,1033.0,1.0,260,47.0,46.0,37.0,162.0,1962.0,Graph Neural Networks with Keras and Tensorflow 2.,19.0,25,True,2021-08-23 13:15:21.000000,1.0.8,31.0,spektral,,,,\"['tensorflow\"\"']\",93.0,91.0,https://pypi.org/project/spektral,2021-08-23 13:15:21.000000,2.0,3640.0,3640.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n475,HyperTools,ContextLab/hypertools,,data-viz,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25.000000,2021-07-19 16:15:16.000000,2021-07-19 16:15:16.000000,1599.0,,155,58.0,62.0,67.0,122.0,1682.0,A Python toolbox for gaining geometric insights into high-dimensional data.,21.0,25,True,2021-06-15 19:22:37.000000,0.7.0,20.0,hypertools,,,,,170.0,161.0,https://pypi.org/project/hypertools,2021-06-15 19:22:37.000000,9.0,1262.0,1262.0,,,,,,,,3.0,8.0,,,,,,,,,,,,,,,,,,,,\n476,Neural Tangents,google/neural-tangents,,ml-frameworks,https://github.com/google/neural-tangents,https://github.com/google/neural-tangents,Apache-2.0,2019-04-08 16:48:48.000000,2021-12-14 11:50:25.000000,2021-12-14 11:50:25.000000,435.0,10.0,186,60.0,23.0,31.0,71.0,1670.0,Fast and Easy Infinite Neural Networks in Python.,21.0,25,True,2021-11-17 06:35:11.000000,0.3.9,23.0,neural-tangents,,,,,28.0,27.0,https://pypi.org/project/neural-tangents,2021-11-17 06:30:38.000000,1.0,430.0,439.0,,,,,,,,3.0,186.0,,,,,,,,,,,,,,,,,,,,\n477,Haiku,deepmind/dm-haiku,,ml-frameworks,https://github.com/deepmind/dm-haiku,https://github.com/deepmind/dm-haiku,Apache-2.0,2020-02-18 07:14:02.000000,2022-01-13 11:31:34.000000,2022-01-12 18:29:41.000000,665.0,47.0,123,35.0,173.0,33.0,96.0,1654.0,JAX-based neural network library.,56.0,25,True,2021-11-01 13:18:04.000000,0.0.5,7.0,,,,,,290.0,290.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n478,RecBole,RUCAIBox/RecBole,,recommender-systems,https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000000,2022-01-10 01:44:44.000000,2022-01-10 01:44:43.000000,3390.0,38.0,271,32.0,789.0,57.0,226.0,1562.0,\"A unified, comprehensive and efficient recommendation library.\",43.0,25,True,2021-09-16 13:45:46.000000,1.0.0,6.0,recbole,aibox/recbole,,,['pytorch'],,,https://pypi.org/project/recbole,2021-09-16 13:45:46.000000,,670.0,740.0,https://anaconda.org/aibox/recbole,2021-09-16 16:45:01.892000,981.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n479,checklist,marcotcr/checklist,,interpretability,https://github.com/marcotcr/checklist,https://github.com/marcotcr/checklist,MIT,2020-03-09 17:18:49.000000,2021-11-23 19:38:48.000000,2021-09-28 21:55:38.000000,247.0,,149,27.0,33.0,12.0,79.0,1556.0,Beyond Accuracy: Behavioral Testing of NLP models with CheckList.,12.0,25,True,2021-05-24 16:45:59.000000,0.0.11,10.0,checklist,,,,['jupyter'],70.0,67.0,https://pypi.org/project/checklist,2021-05-24 16:45:59.000000,3.0,22247.0,22247.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n480,Torchmeta,tristandeleu/pytorch-meta,,pytorch-utils,https://github.com/tristandeleu/pytorch-meta,https://github.com/tristandeleu/pytorch-meta,MIT,2018-12-04 23:36:45.000000,2022-01-10 12:07:24.000000,2021-09-20 16:03:46.000000,382.0,,191,40.0,30.0,34.0,89.0,1529.0,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.,12.0,25,True,2021-09-20 16:06:33.000000,1.8.0,28.0,torchmeta,,,,['pytorch'],78.0,78.0,https://pypi.org/project/torchmeta,2021-09-20 16:06:33.000000,,1226.0,1226.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n481,pygraphistry,graphistry/pygraphistry,,graph,https://github.com/graphistry/pygraphistry,https://github.com/graphistry/pygraphistry,BSD-3-Clause,2015-06-02 20:28:42.000000,2022-01-13 08:40:07.000000,2021-12-22 01:54:09.000000,820.0,13.0,147,43.0,117.0,73.0,109.0,1521.0,\"PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated..\",19.0,25,True,2021-12-07 07:06:16.000000,0.20.5,126.0,graphistry,,,,['jupyter'],58.0,54.0,https://pypi.org/project/graphistry,2021-12-07 07:06:16.000000,4.0,2169.0,2169.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n482,TabNet,dreamquark-ai/tabnet,,pytorch-utils,https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000000,2022-01-10 09:39:16.000000,2021-12-27 18:05:53.000000,170.0,12.0,303,34.0,172.0,38.0,165.0,1497.0,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,19.0,25,True,2021-02-02 08:05:11.000000,3.1.1,17.0,pytorch-tabnet,,,,['pytorch'],7.0,,https://pypi.org/project/pytorch-tabnet,2021-02-02 08:05:11.000000,7.0,33005.0,33005.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n483,CausalNex,quantumblacklabs/causalnex,,interpretability,https://github.com/quantumblacklabs/causalnex,https://github.com/quantumblacklabs/causalnex,Apache-2.0,2019-12-12 15:26:09.000000,2021-12-30 20:30:23.000000,2021-11-11 15:06:17.000000,156.0,6.0,152,42.0,46.0,15.0,87.0,1421.0,A Python library that helps data scientists to infer causation rather than observing correlation.,22.0,25,True,2021-11-11 15:15:32.000000,0.11.0,16.0,causalnex,,,,\"['pytorch', 'sklearn']\",38.0,36.0,https://pypi.org/project/causalnex,2021-11-11 15:15:32.000000,2.0,4778.0,4778.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n484,fklearn,nubank/fklearn,,ml-frameworks,https://github.com/nubank/fklearn,https://github.com/nubank/fklearn,Apache-2.0,2019-02-27 14:32:57.000000,2021-12-30 17:37:43.000000,2021-12-30 00:57:17.000000,133.0,12.0,152,89.0,142.0,20.0,21.0,1374.0,fklearn: Functional Machine Learning.,41.0,25,True,2021-12-30 01:18:22.000000,2.0.0,24.0,fklearn,,,,,11.0,11.0,https://pypi.org/project/fklearn,2021-12-30 01:18:22.000000,,2962.0,2962.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n485,bt,pmorissette/bt,,financial-data,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28.000000,2021-05-15 18:58:08.000000,2021-05-15 18:58:08.000000,438.0,,292,78.0,71.0,47.0,225.0,1269.0,bt - flexible backtesting for Python.,24.0,25,True,2021-04-21 02:52:26.000000,0.2.9,25.0,bt,,,,,112.0,91.0,https://pypi.org/project/bt,2021-04-21 02:52:26.000000,21.0,6198.0,6198.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n486,fairlearn,fairlearn/fairlearn,,interpretability,https://github.com/fairlearn/fairlearn,https://github.com/fairlearn/fairlearn,MIT,2018-05-15 01:51:35.000000,2022-01-13 16:56:43.000000,2021-12-15 16:38:40.000000,662.0,7.0,274,33.0,654.0,134.0,199.0,1159.0,A Python package to assess and improve fairness of machine learning models.,61.0,25,True,2021-07-07 08:16:09.000000,0.7.0,16.0,fairlearn,conda-forge/fairlearn,,,['sklearn'],9.0,,https://pypi.org/project/fairlearn,2021-07-07 05:54:23.000000,9.0,23690.0,24413.0,https://anaconda.org/conda-forge/fairlearn,2021-07-07 15:56:16.605000,16635.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n487,livelossplot,stared/livelossplot,,ml-experiments,https://github.com/stared/livelossplot,https://github.com/stared/livelossplot,MIT,2018-03-10 17:51:43.000000,2021-10-12 11:52:57.000000,2021-10-12 11:52:20.000000,328.0,,138,26.0,61.0,4.0,70.0,1152.0,\"Live training loss plot in Jupyter Notebook for Keras, PyTorch and others.\",17.0,25,True,2021-02-03 16:25:47.000000,0.5.4,24.0,livelossplot,,,,['jupyter'],711.0,703.0,https://pypi.org/project/livelossplot,2021-02-03 16:25:47.000000,8.0,65118.0,65118.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n488,pyts,johannfaouzi/pyts,,time-series-data,https://github.com/johannfaouzi/pyts,https://github.com/johannfaouzi/pyts,BSD-3-Clause,2017-07-31 09:23:16.000000,2021-12-09 13:27:33.000000,2021-12-09 13:27:29.000000,379.0,6.0,115,20.0,67.0,33.0,24.0,1142.0,A Python package for time series classification.,10.0,25,True,2021-10-31 13:51:09.000000,0.12.0,18.0,pyts,conda-forge/pyts,,,,176.0,165.0,https://pypi.org/project/pyts,2021-10-31 13:51:09.000000,11.0,84209.0,84547.0,https://anaconda.org/conda-forge/pyts,2021-10-31 15:13:32.850000,9826.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n489,alibi-detect,SeldonIO/alibi-detect,,others,https://github.com/SeldonIO/alibi-detect,https://github.com/SeldonIO/alibi-detect,Apache-2.0,2019-10-07 13:29:13.000000,2022-01-13 16:12:52.000000,2022-01-13 14:07:54.000000,445.0,34.0,114,33.0,233.0,80.0,117.0,1091.0,\"Algorithms for outlier, adversarial and drift detection.\",15.0,25,True,2021-12-09 19:27:30.000000,0.8.0,20.0,alibi-detect,,,,,53.0,48.0,https://pypi.org/project/alibi-detect,2021-12-09 19:25:39.000000,5.0,10804.0,10804.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n490,pandasql,yhat/pandasql,,data-containers,https://github.com/yhat/pandasql,https://github.com/yhat/pandasql,MIT,2013-02-18 01:53:56.000000,2020-08-14 13:00:13.000000,2017-02-01 15:40:30.000000,127.0,,147,44.0,27.0,44.0,23.0,1068.0,sqldf for pandas.,15.0,25,False,2016-04-20 21:52:36.000000,0.7.3,31.0,pandasql,,,,['pandas'],1127.0,1063.0,https://pypi.org/project/pandasql,2016-04-20 21:52:36.000000,64.0,1144177.0,1144177.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n491,fancyimpute,iskandr/fancyimpute,,sklearn-utils,https://github.com/iskandr/fancyimpute,https://github.com/iskandr/fancyimpute,Apache-2.0,2015-11-05 23:39:34.000000,2021-10-21 17:50:40.000000,2021-10-21 17:45:17.000000,202.0,2.0,163,25.0,35.0,1.0,111.0,1024.0,Multivariate imputation and matrix completion algorithms implemented in Python.,12.0,25,True,2021-10-21 17:50:40.000000,0.7.0,29.0,fancyimpute,,,,['sklearn'],1143.0,1115.0,https://pypi.org/project/fancyimpute,2021-10-21 17:50:40.000000,28.0,9625.0,9625.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n492,PySAL,pysal/pysal,,geospatial-data,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42.000000,2021-10-18 18:27:28.000000,2021-10-18 18:27:28.000000,4136.0,2.0,273,75.0,613.0,11.0,592.0,952.0,PySAL: Python Spatial Analysis Library Meta-Package.,74.0,25,True,2021-08-01 00:14:07.000000,2.5.0,27.0,pysal,conda-forge/pysal,,,,30.0,,https://pypi.org/project/pysal,2021-08-01 00:14:07.000000,30.0,23413.0,29951.0,https://anaconda.org/conda-forge/pysal,2021-08-02 16:50:41.186000,431515.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n493,Labml,labmlai/labml,,ml-experiments,https://github.com/labmlai/labml,https://github.com/labmlai/labml,MIT,2018-11-16 09:34:48.000000,2022-01-13 08:23:42.000000,2022-01-13 08:23:38.000000,1171.0,32.0,69,26.0,55.0,13.0,12.0,938.0,Monitor deep learning model training and hardware usage from your mobile phone.,6.0,25,True,2022-01-13 08:05:12.000000,0.4.143,120.0,labml,,,,,47.0,41.0,https://pypi.org/project/labml,2022-01-13 08:05:12.000000,6.0,16439.0,16439.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n494,kapre,keunwoochoi/kapre,,audio,https://github.com/keunwoochoi/kapre,https://github.com/keunwoochoi/kapre,MIT,2016-12-14 18:36:36.000000,2021-12-14 18:04:32.000000,2021-11-14 01:15:18.000000,193.0,3.0,138,21.0,43.0,11.0,82.0,799.0,kapre: Keras Audio Preprocessors.,13.0,25,True,2021-11-14 01:13:37.000000,0.3.6,22.0,kapre,,,,['tensorflow'],1312.0,1298.0,https://pypi.org/project/kapre,2021-11-14 01:13:37.000000,14.0,1479.0,1479.0,,,,,,,,3.0,19.0,,,,,,,,,,,,,,,,,,,,\n495,bambi,bambinos/bambi,,probabilistics,https://github.com/bambinos/bambi,https://github.com/bambinos/bambi,MIT,2016-05-16 03:21:00.000000,2022-01-11 21:32:27.000000,2022-01-11 21:21:17.000000,622.0,14.0,72,24.0,225.0,33.0,182.0,733.0,BAyesian Model-Building Interface (Bambi) in Python.,21.0,25,True,2022-01-11 21:24:51.000000,0.7.0,18.0,bambi,,,,,23.0,20.0,https://pypi.org/project/bambi,2022-01-11 21:24:51.000000,3.0,1954.0,1954.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n496,NeuPy,itdxer/neupy,,ml-frameworks,https://github.com/itdxer/neupy,https://github.com/itdxer/neupy,MIT,2015-08-24 19:45:11.000000,2022-01-13 00:49:03.000000,2019-09-02 19:02:38.000000,1145.0,,149,32.0,22.0,30.0,234.0,701.0,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,7.0,25,False,2019-04-04 19:44:59.000000,0.8.2,34.0,neupy,,,,,132.0,120.0,https://pypi.org/project/neupy,2019-04-04 19:43:06.000000,12.0,1646.0,1646.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n497,scikit-lego,koaning/scikit-lego,,sklearn-utils,https://github.com/koaning/scikit-lego,https://github.com/koaning/scikit-lego,MIT,2019-01-21 15:30:15.000000,2021-12-21 18:05:34.000000,2021-12-21 08:08:48.000000,421.0,6.0,77,15.0,264.0,32.0,205.0,678.0,Extra blocks for scikit-learn pipelines.,48.0,25,True,2021-12-09 11:34:28.000000,0.6.9,35.0,scikit-lego,conda-forge/scikit-lego,,,['sklearn'],45.0,39.0,https://pypi.org/project/scikit-lego,2021-12-09 11:39:03.000000,6.0,21948.0,22565.0,https://anaconda.org/conda-forge/scikit-lego,2021-12-09 15:20:11.388000,16662.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n498,PyKEEN,pykeen/pykeen,,graph,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000000,2022-01-12 18:21:56.000000,2022-01-11 14:55:59.000000,2525.0,73.0,96,22.0,385.0,113.0,222.0,664.0,A Python library for learning and evaluating knowledge graph embeddings.,24.0,25,True,2022-01-11 14:57:28.000000,1.7.0,38.0,pykeen,,,,,3.0,,https://pypi.org/project/pykeen,2022-01-11 14:55:50.000000,3.0,667.0,671.0,,,,,,,,2.0,92.0,,,,,,,,,,,,,,,,,,,,\n499,Guild AI,guildai/guildai,,ml-experiments,https://github.com/guildai/guildai,https://github.com/guildai/guildai,Apache-2.0,2017-09-27 18:57:50.000000,2022-01-12 20:07:17.000000,2022-01-12 20:04:36.000000,4614.0,51.0,59,13.0,23.0,121.0,181.0,651.0,\"Experiment tracking, ML developer tools.\",18.0,25,True,2021-10-12 21:28:06.000000,0.7.4,175.0,guildai,,,,,42.0,42.0,https://pypi.org/project/guildai,2022-01-07 18:52:34.000000,,2756.0,2756.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n500,CellProfiler,CellProfiler/CellProfiler,,image,https://github.com/CellProfiler/CellProfiler,https://github.com/CellProfiler/CellProfiler,BSD-3-Clause,2011-04-05 12:10:12.000000,2021-11-22 12:29:52.000000,2021-11-05 20:24:04.000000,15358.0,4.0,294,43.0,1474.0,199.0,2816.0,636.0,An open-source application for biological image analysis.,121.0,25,True,2021-07-22 19:01:42.000000,4.2.1,43.0,cellprofiler,,,,,6.0,6.0,https://pypi.org/project/cellprofiler,2017-09-04 18:03:36.000000,,586.0,608.0,,,,,,,,3.0,2116.0,,,,,,,,,,,,,,,,,,,,\n501,SKLL,EducationalTestingService/skll,,ml-experiments,https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,BSD-1-Clause,2013-08-02 14:31:46.000000,2021-12-29 21:39:23.000000,2021-12-21 20:03:06.000000,3575.0,61.0,65,47.0,318.0,32.0,365.0,527.0,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,36.0,25,False,2021-12-21 20:12:29.000000,3.0,65.0,skll,,,,['sklearn'],53.0,35.0,https://pypi.org/project/skll,2021-12-21 20:08:55.000000,18.0,615.0,615.0,,,,,,,,3.0,11.0,,,,,,,,,,,,,,,,,,,,\n502,Cornac,PreferredAI/cornac,,recommender-systems,https://github.com/PreferredAI/cornac,https://github.com/PreferredAI/cornac,Apache-2.0,2018-07-17 06:31:35.000000,2022-01-03 09:48:49.000000,2021-09-30 10:13:24.000000,1230.0,,84,22.0,380.0,5.0,75.0,513.0,A Comparative Framework for Multimodal Recommender Systems.,13.0,25,True,2021-09-26 07:01:44.000000,1.14.1,45.0,cornac,conda-forge/cornac,,,,86.0,72.0,https://pypi.org/project/cornac,2021-09-26 07:12:34.000000,14.0,7147.0,13279.0,https://anaconda.org/conda-forge/cornac,2021-11-15 19:24:15.089000,196232.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n503,python-soundfile,bastibe/python-soundfile,,audio,https://github.com/bastibe/python-soundfile,https://github.com/bastibe/python-soundfile,BSD-3-Clause,2013-08-27 13:36:52.000000,2021-12-11 08:22:06.000000,2021-12-07 08:14:03.000000,501.0,3.0,59,15.0,162.0,62.0,99.0,431.0,\"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.\",23.0,25,True,2019-12-04 10:03:39.000000,0.10.3post1,7.0,soundfile,,,,,539.0,,https://pypi.org/project/soundfile,2019-11-27 12:16:19.000000,539.0,728759.0,728788.0,,,,,,,,3.0,2833.0,,,,,,,,,,,,,,,,,,,,\n504,sklearn-crfsuite,TeamHG-Memex/sklearn-crfsuite,,sklearn-utils,https://github.com/TeamHG-Memex/sklearn-crfsuite,https://github.com/TeamHG-Memex/sklearn-crfsuite,MIT,2015-11-26 21:15:41.000000,2021-10-27 17:57:56.000000,2019-12-05 08:17:22.000000,46.0,,176,22.0,14.0,37.0,23.0,387.0,scikit-learn inspired API for CRFsuite.,6.0,25,False,2017-06-22 18:49:27.000000,0.3.6,9.0,sklearn-crfsuite,,,,['sklearn'],3674.0,3408.0,https://pypi.org/project/sklearn-crfsuite,2017-06-22 18:49:27.000000,266.0,115277.0,115277.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n505,responsible-ai-widgets,microsoft/responsible-ai-widgets,,interpretability,https://github.com/microsoft/responsible-ai-toolbox,https://github.com/microsoft/responsible-ai-toolbox,MIT,2020-07-06 20:46:53.000000,2022-01-13 15:01:50.000000,2022-01-13 11:37:31.000000,812.0,163.0,91,17.0,919.0,47.0,169.0,382.0,\"This project provides responsible AI user interfaces for Fairlearn, interpret-community, and Error Analysis, as well..\",24.0,25,True,2022-01-05 18:03:24.000000,0.16.0,31.0,raiwidgets,,,,\"['pytorch', 'tensorflow', 'jupyter']\",20.0,18.0,https://pypi.org/project/raiwidgets,2022-01-05 15:23:45.000000,2.0,3690.0,3690.0,,,,,,,,2.0,,,,,,,,,,microsoft/responsible-ai-toolbox,,,,,,,,,,,\n506,dbnd,databand-ai/dbnd,,data-pipelines,https://github.com/databand-ai/dbnd,https://github.com/databand-ai/dbnd,Apache-2.0,2020-01-02 10:42:47.000000,2022-01-13 16:59:47.000000,2022-01-13 16:24:46.000000,2790.0,166.0,19,18.0,49.0,2.0,2.0,211.0,DBND is an agile pipeline framework that helps data engineering teams track and orchestrate their data processes.,54.0,25,False,2022-01-13 16:51:26.000000,0.58.5,255.0,dbnd,,,,,47.0,25.0,https://pypi.org/project/dbnd,2022-01-13 16:51:26.000000,22.0,102466.0,102466.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n507,PyStan,stan-dev/pystan,,probabilistics,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,ISC,2017-03-06 19:56:42.094000,2021-10-27 08:33:56.000000,2021-10-21 11:47:11.000000,189.0,2.0,35,10.0,174.0,8.0,151.0,149.0,\"PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io.\",10.0,25,False,2021-10-06 01:05:34.000000,3.3.0,65.0,pystan,conda-forge/pystan,,,,243.0,,https://pypi.org/project/pystan,2021-10-06 01:05:34.000000,243.0,1771737.0,1795091.0,https://anaconda.org/conda-forge/pystan,2021-09-21 02:32:24.465000,1354563.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n508,english-words,dwyl/english-words,,nlp,https://github.com/dwyl/english-words,https://github.com/dwyl/english-words,Unlicense,2014-07-13 22:20:45.000000,2021-11-10 15:08:38.000000,2021-10-20 08:05:51.000000,85.0,2.0,1240,176.0,48.0,45.0,28.0,6005.0,A text file containing 479k English words for all your dictionary/word-based projects e.g: auto-completion /..,26.0,24,True,2021-08-02 04:02:28.000000,1.0.4,5.0,english-words,,,,,4.0,,https://pypi.org/project/english-words,2021-08-02 04:02:28.000000,4.0,7263.0,7263.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n509,AugLy,facebookresearch/AugLy,,others,https://github.com/facebookresearch/AugLy,https://github.com/facebookresearch/AugLy,MIT,2021-06-09 17:57:28.000000,2022-01-04 10:49:00.000000,2021-12-28 17:33:24.000000,144.0,41.0,216,60.0,134.0,14.0,42.0,4216.0,\"A data augmentations library for audio, image, text, and video.\",14.0,24,True,2021-12-17 11:57:25.000000,0.2.1,16.0,augly,,,,,28.0,25.0,https://pypi.org/project/augly,2021-12-17 11:46:02.000000,3.0,1702.0,1702.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n510,DALI,NVIDIA/DALI,,gpu-utilities,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000000,2022-01-13 15:10:46.000000,2022-01-13 14:28:55.000000,2300.0,118.0,458,83.0,2533.0,149.0,930.0,3663.0,A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to..,68.0,24,True,2022-01-03 11:30:21.000000,1.9.0,47.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n511,MatchZoo,NTMC-Community/MatchZoo,,nlp,https://github.com/NTMC-Community/MatchZoo,https://github.com/NTMC-Community/MatchZoo,Apache-2.0,2017-06-08 08:55:22.000000,2021-06-03 02:58:49.000000,2021-06-02 17:38:16.000000,1810.0,,908,177.0,385.0,30.0,429.0,3586.0,\"Facilitating the design, comparison and sharing of deep text matching models.\",36.0,24,True,2019-10-24 13:09:11.000000,2.2.0,5.0,matchzoo,,,,['tensorflow'],10.0,10.0,https://pypi.org/project/matchzoo,2019-10-24 13:09:11.000000,,122.0,122.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n512,AdaNet,tensorflow/adanet,,hyperopt,https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24.000000,2021-08-30 19:33:24.000000,2021-08-30 19:33:24.000000,440.0,,519,171.0,49.0,65.0,47.0,3351.0,Fast and flexible AutoML with learning guarantees.,27.0,24,True,2020-07-09 21:03:28.000000,0.9.0,13.0,adanet,,,,['tensorflow'],44.0,42.0,https://pypi.org/project/adanet,2020-07-09 21:03:28.000000,2.0,837.0,837.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n513,Image Super-Resolution,idealo/image-super-resolution,,image,https://github.com/idealo/image-super-resolution,https://github.com/idealo/image-super-resolution,Apache-2.0,2018-11-26 13:41:13.000000,2021-11-02 15:48:01.000000,2021-06-02 09:45:13.000000,150.0,,580,94.0,31.0,81.0,108.0,3350.0,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,10.0,24,True,2020-01-08 15:37:35.000000,2.2.0,11.0,ISR,,idealo/image-super-resolution-gpu,,['tensorflow'],74.0,69.0,https://pypi.org/project/ISR,2020-01-08 15:37:35.000000,5.0,5655.0,5660.0,,,,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,,198.0,3.0,,,,,,,,,,,,,,,,,,,,,\n514,Chartify,spotify/chartify,,data-viz,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05.000000,2021-09-17 06:10:10.000000,2021-02-05 18:49:02.000000,195.0,,274,83.0,64.0,41.0,31.0,3072.0,Python library that makes it easy for data scientists to create charts.,21.0,24,True,2020-11-02 22:14:08.000000,3.0.3,16.0,chartify,conda-forge/chartify,,,,66.0,61.0,https://pypi.org/project/chartify,2020-11-02 22:14:08.000000,5.0,1300.0,1763.0,https://anaconda.org/conda-forge/chartify,2020-11-07 19:52:50.628000,17597.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n515,LIT,PAIR-code/lit,,interpretability,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000000,2022-01-13 13:03:08.000000,2021-12-21 14:10:50.000000,506.0,111.0,274,73.0,523.0,63.0,63.0,2735.0,The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and..,18.0,24,True,2021-12-21 14:29:03.000000,0.4.1,7.0,lit-nlp,,,,,7.0,7.0,https://pypi.org/project/lit-nlp,2021-12-21 14:20:06.000000,,646.0,646.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n516,vissl,facebookresearch/vissl,,image,https://github.com/facebookresearch/vissl,https://github.com/facebookresearch/vissl,MIT,2020-04-09 19:40:33.000000,2022-01-10 21:36:31.000000,2022-01-10 21:36:28.000000,306.0,31.0,224,52.0,372.0,44.0,86.0,2293.0,\"VISSL is FAIRs library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.\",30.0,24,True,2021-11-02 17:21:02.000000,0.1.6,6.0,vissl,,,,['pytorch'],5.0,4.0,https://pypi.org/project/vissl,2021-11-02 15:36:07.000000,1.0,199.0,199.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n517,HiPlot,facebookresearch/hiplot,,data-viz,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41.000000,2021-11-05 18:07:40.000000,2021-11-05 17:54:23.000000,177.0,9.0,106,28.0,154.0,10.0,61.0,2232.0,HiPlot makes understanding high dimensional data easy.,7.0,24,True,2021-11-04 14:37:14.000000,0.1.32,94.0,hiplot,conda-forge/hiplot,,,,12.0,3.0,https://pypi.org/project/hiplot,2021-11-05 18:07:40.000000,9.0,9301.0,12545.0,https://anaconda.org/conda-forge/hiplot,2021-11-05 06:41:13.441000,74634.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n518,python_speech_features,jameslyons/python_speech_features,,audio,https://github.com/jameslyons/python_speech_features,https://github.com/jameslyons/python_speech_features,MIT,2013-10-31 02:42:08.000000,2021-10-20 10:08:48.000000,2020-12-31 13:27:01.000000,120.0,,577,87.0,29.0,23.0,51.0,2019.0,This library provides common speech features for ASR including MFCCs and filterbank energies.,19.0,24,False,2020-01-14 14:12:10.000000,0.6.1,6.0,python_speech_features,,,,,161.0,,https://pypi.org/project/python_speech_features,2017-08-16 01:46:13.000000,161.0,108594.0,108594.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n519,SRU,asappresearch/sru,,pytorch-utils,https://github.com/asappresearch/sru,https://github.com/asappresearch/sru,MIT,2017-08-28 20:37:41.000000,2022-01-04 21:17:53.000000,2021-05-19 15:52:48.000000,400.0,,295,69.0,78.0,54.0,67.0,2016.0,Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755).,21.0,24,True,2021-05-18 16:13:10.000000,2.6.0,32.0,sru,,,,['pytorch'],20.0,17.0,https://pypi.org/project/sru,2021-06-17 23:33:37.000000,3.0,2607.0,2607.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n520,pytorch-nlp,PetrochukM/PyTorch-NLP,,nlp,https://github.com/PetrochukM/PyTorch-NLP,https://github.com/PetrochukM/PyTorch-NLP,BSD-3-Clause,2018-02-25 05:00:36.000000,2021-08-22 16:33:38.000000,2021-07-10 15:56:42.000000,447.0,,242,57.0,54.0,18.0,49.0,2001.0,Basic Utilities for PyTorch Natural Language Processing (NLP).,18.0,24,True,2019-11-04 05:16:00.000000,0.5.0,19.0,pytorch-nlp,,,,['pytorch'],335.0,318.0,https://pypi.org/project/pytorch-nlp,2019-11-04 04:35:18.000000,17.0,6681.0,6681.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n521,m2cgen,BayesWitnesses/m2cgen,,model-serialisation,https://github.com/BayesWitnesses/m2cgen,https://github.com/BayesWitnesses/m2cgen,MIT,2019-01-13 02:32:55.000000,2022-01-13 15:12:53.000000,2022-01-13 15:12:52.000000,333.0,15.0,166,44.0,404.0,36.0,51.0,1989.0,\"Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart,..\",12.0,24,True,2020-09-18 19:17:26.000000,0.9.0,12.0,m2cgen,,,,,9.0,9.0,https://pypi.org/project/m2cgen,2020-09-18 19:16:17.000000,,57682.0,57682.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n522,PyFlux,RJT1990/pyflux,,time-series-data,https://github.com/RJT1990/pyflux,https://github.com/RJT1990/pyflux,BSD-3-Clause,2016-02-16 20:12:02.000000,2019-03-19 10:45:02.000000,2018-12-16 15:30:13.000000,118.0,,219,69.0,20.0,82.0,65.0,1940.0,Open source time series library for Python.,6.0,24,False,2017-11-21 16:27:06.000000,0.4.16,35.0,pyflux,,,,,223.0,207.0,https://pypi.org/project/pyflux,2017-11-21 16:27:06.000000,16.0,22901.0,22901.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n523,Pandaral·lel,nalepae/pandarallel,,data-containers,https://github.com/nalepae/pandarallel,https://github.com/nalepae/pandarallel,BSD-3-Clause,2019-03-10 11:58:29.000000,2021-10-17 19:32:08.000000,2021-10-17 19:29:29.000000,128.0,6.0,125,20.0,22.0,78.0,65.0,1930.0,A simple and efficient tool to parallelize Pandas operations on all availableCPUs.,18.0,24,True,2021-10-17 19:32:08.000000,1.5.4,31.0,pandarallel,,,,\"['pandas', 'jupyter']\",385.0,372.0,https://pypi.org/project/pandarallel,2021-10-17 19:32:08.000000,13.0,177224.0,177224.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n524,Multicore-TSNE,DmitryUlyanov/Multicore-TSNE,,data-viz,https://github.com/DmitryUlyanov/Multicore-TSNE,https://github.com/DmitryUlyanov/Multicore-TSNE,BSD-3-Clause,2016-10-19 05:46:52.000000,2021-11-09 17:22:51.512000,2020-08-19 14:58:00.000000,113.0,,200,40.0,34.0,37.0,21.0,1672.0,Parallel t-SNE implementation with Python and Torch wrappers.,15.0,24,False,2017-11-08 13:32:20.000000,0.0.1,3.0,MulticoreTSNE,conda-forge/multicore-tsne,,,['pytorch'],291.0,268.0,https://pypi.org/project/MulticoreTSNE,2019-01-09 07:23:04.000000,23.0,7346.0,7663.0,https://anaconda.org/conda-forge/multicore-tsne,2021-11-09 17:22:51.512000,12063.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n525,Fairness 360,Trusted-AI/AIF360,,interpretability,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15.000000,2022-01-05 23:11:09.000000,2021-11-18 15:43:53.000000,342.0,1.0,501,80.0,165.0,61.0,59.0,1603.0,\"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..\",46.0,24,True,2021-03-04 18:11:34.000000,0.4.0,9.0,aif360,,,,,142.0,134.0,https://pypi.org/project/aif360,2021-03-04 18:11:34.000000,8.0,5539.0,5539.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n526,modAL,modAL-python/modAL,,others,https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000000,2022-01-07 13:18:58.000000,2021-01-07 09:40:40.000000,648.0,,231,41.0,32.0,65.0,54.0,1548.0,A modular active learning framework for Python.,14.0,24,True,2021-01-07 09:47:49.000000,0.4.1,12.0,modAL,,,,['sklearn'],120.0,113.0,https://pypi.org/project/modAL,2021-01-07 09:47:49.000000,7.0,2749.0,2749.0,,,,,,,,3.0,20.0,,,,,,,,,,,,,,,,,,,,\n527,sklearn-contrib-lightning,scikit-learn-contrib/lightning,,sklearn-utils,https://github.com/scikit-learn-contrib/lightning,https://github.com/scikit-learn-contrib/lightning,BSD-3-Clause,2012-01-11 13:53:52.000000,2022-01-10 22:09:52.000000,2022-01-09 01:21:49.000000,733.0,5.0,193,40.0,107.0,50.0,41.0,1508.0,\"Large-scale linear classification, regression and ranking in Python.\",17.0,24,True,2021-06-16 21:04:08.000000,0.6.1,10.0,sklearn-contrib-lightning,conda-forge/sklearn-contrib-lightning,,,['sklearn'],103.0,97.0,https://pypi.org/project/sklearn-contrib-lightning,2021-06-15 21:53:28.000000,6.0,1674.0,4122.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2021-11-13 15:37:21.493000,160692.0,,,,,2.0,104.0,,,,,,,,,,,,,,,,,,,,\n528,Karate Club,benedekrozemberczki/karateclub,,graph,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56.000000,2021-12-19 19:02:45.000000,2021-12-19 19:02:45.000000,2203.0,4.0,177,39.0,18.0,1.0,64.0,1489.0,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,13.0,24,False,2021-09-29 21:05:51.000000,_10202,101.0,karateclub,,,,,70.0,68.0,https://pypi.org/project/karateclub,2021-09-29 21:00:31.000000,2.0,4160.0,4160.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n529,bonobo,python-bonobo/bonobo,,data-pipelines,https://github.com/python-bonobo/bonobo,https://github.com/python-bonobo/bonobo,Apache-2.0,2016-12-09 04:03:23.000000,2021-11-10 16:43:45.000000,2021-03-10 15:44:00.000000,981.0,,123,63.0,233.0,95.0,108.0,1481.0,Extract Transform Load for Python 3.5+.,37.0,24,True,2019-05-16 13:19:48.000000,0.6.4,38.0,bonobo,,,http://docs.bonobo-project.org/en/master/,,161.0,128.0,https://pypi.org/project/bonobo,2019-07-20 13:33:19.000000,33.0,3212.0,3212.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n530,garage,rlworkgroup/garage,,reinforcement-learning,https://github.com/rlworkgroup/garage,https://github.com/rlworkgroup/garage,MIT,2018-06-10 21:31:23.000000,2022-01-05 00:25:21.000000,2021-10-20 05:09:03.000000,1217.0,1.0,243,53.0,1304.0,205.0,799.0,1373.0,A toolkit for reproducible reinforcement learning research.,78.0,24,True,2021-03-23 22:18:36.000000,2021.3.0,21.0,garage,,,,['tensorflow'],28.0,26.0,https://pypi.org/project/garage,2021-03-23 22:18:36.000000,2.0,744.0,744.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n531,arq,samuelcolvin/arq,,data-pipelines,https://github.com/samuelcolvin/arq,https://github.com/samuelcolvin/arq,MIT,2016-07-21 18:24:42.000000,2022-01-10 22:32:24.000000,2021-10-15 19:26:51.000000,314.0,,84,25.0,162.0,34.0,91.0,1064.0,Fast job queuing and RPC in python with asyncio and redis.,32.0,24,True,2021-09-02 12:45:02.000000,0.22,55.0,arq,,,,,167.0,157.0,https://pypi.org/project/arq,2021-09-02 12:46:58.000000,10.0,15310.0,15310.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n532,ffn,pmorissette/ffn,,financial-data,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09.000000,2021-05-15 18:59:42.000000,2021-04-24 00:58:10.000000,351.0,,200,58.0,63.0,16.0,80.0,1051.0,ffn - a financial function library for Python.,26.0,24,True,2021-04-21 02:47:21.000000,0.3.6,27.0,ffn,,,,,189.0,164.0,https://pypi.org/project/ffn,2021-04-21 02:47:21.000000,25.0,27275.0,27275.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n533,Sockeye,awslabs/sockeye,,nlp,https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30.000000,2022-01-11 16:48:56.000000,2022-01-11 16:48:48.000000,780.0,19.0,303,51.0,733.0,10.0,257.0,1041.0,Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch.,54.0,24,True,2021-12-20 10:02:11.000000,3.0.7,69.0,sockeye,,,,['mxnet'],2.0,,https://pypi.org/project/sockeye,2021-12-20 10:02:11.000000,2.0,1132.0,1132.0,,,,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,,,\n534,CrypTen,facebookresearch/CrypTen,,privacy-ml,https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000000,2021-12-16 15:25:22.000000,2021-12-15 16:36:16.000000,314.0,10.0,153,33.0,230.0,32.0,106.0,983.0,A framework for Privacy Preserving Machine Learning.,25.0,24,True,2021-09-09 15:15:11.000000,0.4.0,2.0,crypten,,,,['pytorch'],12.0,12.0,https://pypi.org/project/crypten,2021-09-09 15:15:11.000000,,236.0,236.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n535,TFEncrypted,tf-encrypted/tf-encrypted,,privacy-ml,https://github.com/tf-encrypted/tf-encrypted,https://github.com/tf-encrypted/tf-encrypted,Apache-2.0,2018-03-21 18:22:13.000000,2022-01-09 02:02:33.000000,2020-08-19 16:56:56.000000,595.0,,168,56.0,440.0,169.0,240.0,972.0,A Framework for Encrypted Machine Learning in TensorFlow.,28.0,24,False,2019-09-27 20:00:01.000000,0.5.9,35.0,tf-encrypted,,,,['tensorflow'],68.0,59.0,https://pypi.org/project/tf-encrypted,2019-10-21 18:05:53.000000,9.0,495.0,495.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n536,cuGraph,rapidsai/cugraph,,gpu-utilities,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000000,2022-01-13 15:38:12.000000,2022-01-13 14:16:21.000000,5132.0,88.0,172,40.0,1277.0,87.0,666.0,889.0,cuGraph - RAPIDS Graph Analytics Library.,71.0,24,True,2021-12-08 19:15:16.000000,21.12.00,16.0,cugraph,,,,,1.0,,https://pypi.org/project/cugraph,2020-06-01 20:09:06.000000,1.0,171.0,171.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n537,scikit-cuda,lebedov/scikit-cuda,,gpu-utilities,https://github.com/lebedov/scikit-cuda,https://github.com/lebedov/scikit-cuda,BSD-3-Clause,2010-09-27 02:02:07.000000,2021-07-13 12:58:06.000000,2021-07-13 12:58:06.000000,1032.0,,167,46.0,110.0,50.0,168.0,874.0,Python interface to GPU-powered libraries.,45.0,24,True,2019-05-27 00:29:00.000000,0.5.3,7.0,scikit-cuda,,,,,199.0,155.0,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00.000000,44.0,543.0,543.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n538,torch-scatter,rusty1s/pytorch_scatter,,pytorch-utils,https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23.000000,2021-11-13 17:38:08.000000,2021-11-13 17:38:07.000000,970.0,10.0,93,12.0,28.0,22.0,216.0,853.0,PyTorch Extension Library of Optimized Scatter Operations.,18.0,24,True,2021-10-22 11:01:13.000000,2.0.9,29.0,torch-scatter,,,,['pytorch'],40.0,,https://pypi.org/project/torch-scatter,2021-10-22 11:01:13.000000,40.0,27609.0,27609.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n539,Node2Vec,eliorc/node2vec,,graph,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000000,2021-12-30 15:36:37.000000,2021-10-09 06:09:16.000000,64.0,,186,17.0,13.0,,70.0,832.0,Implementation of the node2vec algorithm.,9.0,24,True,2021-10-09 06:10:48.000000,0.4.4,15.0,node2vec,conda-forge/node2vec,,,,14.0,,https://pypi.org/project/node2vec,2021-10-09 06:07:52.000000,14.0,522256.0,522705.0,https://anaconda.org/conda-forge/node2vec,2020-04-25 22:41:13.714000,19766.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n540,audiomentations,iver56/audiomentations,,audio,https://github.com/iver56/audiomentations,https://github.com/iver56/audiomentations,MIT,2019-02-12 16:36:24.000000,2022-01-13 15:40:06.000000,2022-01-13 14:50:06.000000,549.0,59.0,105,13.0,54.0,25.0,66.0,826.0,A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.,20.0,24,True,2021-11-18 14:29:10.000000,0.20.0,22.0,audiomentations,,,,,105.0,105.0,https://pypi.org/project/audiomentations,2021-11-18 14:29:10.000000,,2460.0,2460.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n541,gmaps,pbugnion/gmaps,,geospatial-data,https://github.com/pbugnion/gmaps,https://github.com/pbugnion/gmaps,BSD-3-Clause,2014-12-01 09:12:06.000000,2021-12-15 15:42:57.506000,2019-07-22 06:22:45.000000,1380.0,,146,26.0,153.0,67.0,136.0,728.0,Google maps for Jupyter notebooks.,16.0,24,False,2019-07-21 08:49:48.715000,0.9.0,95.0,gmaps,conda-forge/gmaps,,,['jupyter'],45.0,1.0,https://pypi.org/project/gmaps,2021-12-15 15:42:57.506000,44.0,13707.0,19435.0,https://anaconda.org/conda-forge/gmaps,2019-08-02 11:56:50.940000,250873.0,,,,,3.0,,,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715000,,1249.0,,,,,,,,,,,,,\n542,AutoViz,AutoViML/AutoViz,,data-viz,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06.000000,2021-12-25 14:36:42.000000,2021-12-25 14:35:10.000000,123.0,24.0,91,28.0,15.0,6.0,40.0,600.0,\"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..\",11.0,24,True,2021-12-25 14:36:42.000000,0.1.35,47.0,autoviz,,,,,132.0,129.0,https://pypi.org/project/autoviz,2021-12-25 14:36:42.000000,3.0,21989.0,21989.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n543,Mapbox GL,mapbox/mapboxgl-jupyter,,geospatial-data,https://github.com/mapbox/mapboxgl-jupyter,https://github.com/mapbox/mapboxgl-jupyter,MIT,2017-08-08 15:10:51.000000,2022-01-11 05:18:07.000000,2021-04-19 05:00:36.000000,221.0,,126,106.0,91.0,35.0,67.0,594.0,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,21.0,24,True,2019-06-03 21:24:10.000000,0.10.2,20.0,mapboxgl,,,,['jupyter'],137.0,123.0,https://pypi.org/project/mapboxgl,2019-06-02 15:18:57.000000,14.0,12510.0,12510.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n544,vega,vega/ipyvega,,data-viz,https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000000,2022-01-02 08:13:50.000000,2022-01-02 08:13:49.000000,544.0,12.0,55,30.0,293.0,14.0,81.0,319.0,IPython/Jupyter notebook module for Vega and Vega-Lite.,10.0,24,True,2021-06-03 20:52:09.000000,3.5.0,38.0,vega,conda-forge/vega,,,['jupyter'],82.0,,https://pypi.org/project/vega,2021-06-03 20:52:09.000000,82.0,13416.0,20441.0,https://anaconda.org/conda-forge/vega,2021-11-18 16:21:37.805000,470723.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n545,TensorFlow Cloud,tensorflow/cloud,,tensorflow-utils,https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59.000000,2022-01-11 21:12:58.000000,2022-01-04 23:14:55.000000,567.0,2.0,64,23.0,301.0,54.0,26.0,319.0,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,26.0,24,True,2021-06-17 01:15:10.000000,0.1.16,19.0,tensorflow-cloud,,,,['tensorflow'],121.0,120.0,https://pypi.org/project/tensorflow-cloud,2021-06-17 01:15:10.000000,1.0,330966.0,330966.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n546,NIPY,nipy/nipy,,medical-data,https://github.com/nipy/nipy,https://github.com/nipy/nipy,BSD-3-Clause,2010-05-02 10:00:33.000000,2021-12-05 02:53:17.000000,2021-03-29 16:56:48.000000,6427.0,,130,36.0,341.0,45.0,111.0,312.0,Neuroimaging in Python FMRI analysis package.,63.0,24,True,2018-02-19 14:14:08.000000,0.4.2,6.0,nipy,conda-forge/nipy,,,,47.0,,https://pypi.org/project/nipy,2018-02-19 14:14:08.000000,47.0,1075.0,2738.0,https://anaconda.org/conda-forge/nipy,2020-05-04 19:38:04.112000,89841.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n547,deep-daze,lucidrains/deep-daze,,image,https://github.com/lucidrains/deep-daze,https://github.com/lucidrains/deep-daze,MIT,2021-01-17 06:00:50.000000,2021-10-19 02:59:23.000000,2021-10-19 02:58:47.000000,229.0,2.0,277,73.0,37.0,83.0,72.0,4006.0,Simple command line tool for text to image generation using OpenAIs CLIP and Siren (Implicit neural representation..,13.0,23,True,2021-10-19 02:59:23.000000,0.10.3,65.0,deep-daze,,,,,32.0,32.0,https://pypi.org/project/deep-daze,2021-10-19 02:59:23.000000,,18305.0,18305.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n548,Image Deduplicator,idealo/imagededup,,image,https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54.000000,2021-12-28 20:14:53.000000,2020-11-23 17:40:40.000000,460.0,,342,60.0,73.0,30.0,59.0,3935.0,Finding duplicate images made easy!.,10.0,23,False,2020-11-23 17:55:24.000000,0.2.4,9.0,imagededup,,,,['tensorflow'],23.0,21.0,https://pypi.org/project/imagededup,2020-11-22 21:09:36.000000,2.0,2084.0,2084.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n549,TRFL,deepmind/trfl,,reinforcement-learning,https://github.com/deepmind/trfl,https://github.com/deepmind/trfl,Apache-2.0,2018-08-08 14:44:11.000000,2021-08-16 12:19:16.000000,2021-08-16 11:45:18.000000,123.0,,372,212.0,8.0,6.0,16.0,3104.0,TensorFlow Reinforcement Learning.,13.0,23,True,2021-08-16 12:19:16.000000,1.2.0,5.0,trfl,,,,['tensorflow'],72.0,69.0,https://pypi.org/project/trfl,2021-08-16 12:19:16.000000,3.0,2732.0,2732.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n550,scikit-opt,guofei9987/scikit-opt,,sklearn-utils,https://github.com/guofei9987/scikit-opt,https://github.com/guofei9987/scikit-opt,MIT,2017-12-05 10:20:41.000000,2022-01-10 13:47:36.000000,2022-01-10 13:47:36.000000,308.0,5.0,679,33.0,22.0,31.0,98.0,2841.0,\"Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune..\",14.0,23,True,2021-06-28 12:45:52.000000,0.6.5,22.0,scikit-opt,,,,['sklearn'],63.0,59.0,https://pypi.org/project/scikit-opt,2021-06-28 12:36:56.000000,4.0,1053.0,1053.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n551,layout-parser,Layout-Parser/layout-parser,,image,https://github.com/Layout-Parser/layout-parser,https://github.com/Layout-Parser/layout-parser,Apache-2.0,2020-06-10 20:22:54.000000,2022-01-12 15:50:03.000000,2022-01-12 15:50:02.000000,168.0,2.0,261,55.0,38.0,39.0,36.0,2766.0,A Unified Toolkit for Deep Learning Based Document Image Analysis.,7.0,23,True,2021-09-23 17:37:22.000000,0.3.2,9.0,layoutparser,,,,,40.0,39.0,https://pypi.org/project/layoutparser,2021-09-23 17:37:22.000000,1.0,3695.0,3695.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n552,Kashgari,BrikerMan/Kashgari,,nlp,https://github.com/BrikerMan/Kashgari,https://github.com/BrikerMan/Kashgari,Apache-2.0,2019-01-19 01:53:28.000000,2021-07-09 03:57:16.000000,2021-07-09 03:57:16.000000,955.0,,425,67.0,122.0,36.0,326.0,2241.0,Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-..,21.0,23,True,2021-07-04 10:44:36.000000,2.0.2,24.0,kashgari-tf,,,,['tensorflow'],51.0,49.0,https://pypi.org/project/kashgari-tf,2019-10-18 07:57:55.000000,2.0,78.0,78.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n553,Texar,asyml/texar,,nlp,https://github.com/asyml/texar,https://github.com/asyml/texar,Apache-2.0,2017-07-22 19:02:05.000000,2021-08-26 09:49:50.000000,2020-07-29 00:38:30.000000,1719.0,,358,78.0,144.0,33.0,126.0,2241.0,\"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the..\",43.0,23,False,2019-11-19 04:11:18.000000,0.2.4,6.0,texar,,,,['tensorflow'],19.0,17.0,https://pypi.org/project/texar,2019-11-19 04:11:18.000000,2.0,150.0,150.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n554,lightseq,bytedance/lightseq,,nlp,https://github.com/bytedance/lightseq,https://github.com/bytedance/lightseq,Apache-2.0,2019-12-06 08:25:24.000000,2022-01-13 11:43:49.000000,2022-01-10 07:51:13.000000,181.0,11.0,200,42.0,116.0,73.0,69.0,1938.0,LightSeq: A High Performance Library for Sequence Processing and Generation.,7.0,23,True,2021-11-30 07:39:10.000000,2.2.1,18.0,lightseq,,,,,,,https://pypi.org/project/lightseq,2021-11-30 07:39:10.000000,,1345.0,1367.0,,,,,,,,3.0,552.0,,,,,,,,,,,,,,,,,,,,\n555,BlazingSQL,BlazingDB/blazingsql,,gpu-utilities,https://github.com/BlazingDB/blazingsql,https://github.com/BlazingDB/blazingsql,Apache-2.0,2018-09-24 18:25:45.000000,2022-01-07 00:18:23.000000,2021-09-30 21:51:09.000000,8208.0,,163,51.0,892.0,129.0,586.0,1671.0,\"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.\",47.0,23,True,2021-08-16 15:40:43.000000,21.08.00,19.0,,blazingsql/blazingsql-protocol,,,,,,,,,,33.0,https://anaconda.org/blazingsql/blazingsql-protocol,2019-11-11 19:54:17.621000,940.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n556,auto_ml,ClimbsRocks/auto_ml,,hyperopt,https://github.com/ClimbsRocks/auto_ml,https://github.com/ClimbsRocks/auto_ml,MIT,2016-08-07 21:35:08.000000,2021-02-10 07:52:35.000000,2018-03-25 19:46:25.000000,1149.0,,298,95.0,45.0,185.0,216.0,1560.0,[UNMAINTAINED] Automated machine learning for analytics & production.,13.0,23,False,2018-02-22 01:13:03.000000,2.9.10,78.0,auto_ml,,,,,3.0,,https://pypi.org/project/auto_ml,2018-02-22 01:13:03.000000,3.0,1483.0,1483.0,,,,,,,,3.0,38.0,,,,,,,,,,,,,,,,,,,,\n557,Magnitude,plasticityai/magnitude,,nn-search,https://github.com/plasticityai/magnitude,https://github.com/plasticityai/magnitude,MIT,2018-02-24 07:28:16.000000,2021-02-23 18:10:43.000000,2020-07-17 20:19:46.000000,350.0,,103,37.0,9.0,29.0,51.0,1497.0,\"A fast, efficient universal vector embedding utility package.\",4.0,23,False,2020-05-25 11:26:36.000000,0.1.143,128.0,pymagnitude,,,,,226.0,215.0,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36.000000,11.0,3928.0,3928.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n558,FARM,deepset-ai/FARM,,nlp,https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12.000000,2021-11-23 16:56:58.000000,2021-11-23 16:56:58.000000,592.0,3.0,208,54.0,441.0,38.0,385.0,1450.0,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,37.0,23,True,2021-06-10 09:45:12.000000,0.8.0,24.0,farm,,,,['pytorch'],2.0,,https://pypi.org/project/farm,2021-06-10 09:41:53.000000,2.0,2866.0,2866.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n559,TNT,pytorch/tnt,,ml-experiments,https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58.000000,2021-01-22 09:14:29.000000,2021-01-05 19:36:17.000000,156.0,,189,45.0,79.0,30.0,35.0,1359.0,\"Simple tools for logging and visualizing, loading and training.\",35.0,23,True,2019-11-15 12:57:59.000000,0.0.5.1,3.0,torchnet,,,,['pytorch'],36.0,,https://pypi.org/project/torchnet,2018-07-29 23:16:03.000000,36.0,17364.0,17364.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n560,sense2vec,explosion/sense2vec,,nlp,https://github.com/explosion/sense2vec,https://github.com/explosion/sense2vec,MIT,2016-01-23 22:15:49.000000,2021-08-16 11:44:51.000000,2021-08-16 11:44:51.000000,454.0,,221,44.0,41.0,19.0,88.0,1330.0,Contextually-keyed word vectors.,17.0,23,True,2021-04-19 07:05:28.000000,3.0.0,22.0,sense2vec,conda-forge/sense2vec,,,,114.0,106.0,https://pypi.org/project/sense2vec,2021-04-19 07:05:28.000000,8.0,3420.0,4812.0,https://anaconda.org/conda-forge/sense2vec,2021-07-14 13:20:19.752000,24129.0,,,,,3.0,23927.0,,,,,,,,,,,,,,,,,,,,\n561,NiftyNet,NifTK/NiftyNet,,medical-data,https://github.com/NifTK/NiftyNet,https://github.com/NifTK/NiftyNet,Apache-2.0,2017-08-30 07:55:43.000000,2020-04-21 19:54:52.000000,2020-04-21 19:54:51.000000,3284.0,,389,89.0,165.0,102.0,224.0,1295.0,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,58.0,23,False,2019-10-10 10:59:33.000000,0.6.0,11.0,niftynet,,,,['tensorflow'],38.0,37.0,https://pypi.org/project/niftynet,2019-10-10 10:59:33.000000,1.0,111.0,111.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n562,Explainability 360,Trusted-AI/AIX360,,interpretability,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48.000000,2022-01-09 05:14:20.000000,2021-10-12 06:35:26.000000,316.0,,210,48.0,84.0,38.0,25.0,1024.0,Interpretability and explainability of data and machine learning models.,29.0,23,True,2020-10-28 09:32:21.000000,0.2.1,4.0,aix360,,,,,38.0,37.0,https://pypi.org/project/aix360,2020-10-28 09:18:17.000000,1.0,1250.0,1250.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n563,ChainerRL,chainer/chainerrl,,reinforcement-learning,https://github.com/chainer/chainerrl,https://github.com/chainer/chainerrl,MIT,2017-01-30 04:58:15.000000,2021-08-10 18:25:48.000000,2021-04-17 06:02:30.000000,3471.0,,212,74.0,415.0,75.0,147.0,1024.0,ChainerRL is a deep reinforcement learning library built on top of Chainer.,29.0,23,True,2020-02-14 05:35:56.000000,0.8.0,10.0,chainerrl,,,,,115.0,107.0,https://pypi.org/project/chainerrl,2020-02-14 05:35:56.000000,8.0,447.0,447.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n564,minisom,JustGlowing/minisom,,others,https://github.com/JustGlowing/minisom,https://github.com/JustGlowing/minisom,CC-BY-3.0,2013-07-03 10:10:06.000000,2021-11-30 08:40:18.000000,2021-11-30 08:40:06.000000,460.0,1.0,308,30.0,35.0,10.0,84.0,991.0,MiniSom is a minimalistic implementation of the Self Organizing Maps.,23.0,23,False,2021-04-24 17:22:39.000000,2.2.9,1.0,minisom,,,,,226.0,221.0,https://pypi.org/project/minisom,2021-04-24 17:21:29.000000,5.0,14287.0,14287.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n565,explainerdashboard,oegedijk/explainerdashboard,,interpretability,https://github.com/oegedijk/explainerdashboard,https://github.com/oegedijk/explainerdashboard,MIT,2019-10-30 08:26:16.000000,2021-12-24 20:27:44.000000,2021-12-24 20:24:09.000000,1225.0,7.0,116,14.0,25.0,17.0,130.0,957.0,Quickly build Explainable AI dashboards that show the inner workings of so-called blackbox machine learning models.,12.0,23,True,2021-10-24 19:56:57.000000,0.3.7,78.0,explainerdashboard,,,,,51.0,51.0,https://pypi.org/project/explainerdashboard,2021-10-24 19:56:57.000000,,5220.0,5220.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n566,tf-explain,sicara/tf-explain,,interpretability,https://github.com/sicara/tf-explain,https://github.com/sicara/tf-explain,MIT,2019-07-15 08:26:24.000000,2021-11-30 09:54:42.000000,2021-11-30 09:54:40.000000,206.0,7.0,91,51.0,93.0,39.0,50.0,892.0,Interpretability Methods for tf.keras models with Tensorflow 2.x.,16.0,23,True,2021-11-18 20:57:29.000000,0.3.1,8.0,tf-explain,,,,['tensorflow'],101.0,95.0,https://pypi.org/project/tf-explain,2021-11-18 20:57:29.000000,6.0,1432.0,1432.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n567,Orbit,uber/orbit,,probabilistics,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000000,2022-01-13 08:56:46.000000,2022-01-12 00:58:57.000000,766.0,31.0,65,28.0,352.0,41.0,268.0,855.0,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,15.0,23,True,2022-01-12 00:42:13.000000,1.1.0,16.0,orbit-ml,,,,,6.0,5.0,https://pypi.org/project/orbit-ml,2022-01-12 00:42:13.000000,1.0,3008.0,3008.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n568,AstroML,astroML/astroML,,others,https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50.000000,2022-01-04 20:56:20.000000,2021-04-07 06:12:17.000000,546.0,,271,94.0,111.0,53.0,86.0,793.0,\"Machine learning, statistics, and data mining for astronomy and astrophysics.\",30.0,23,True,2019-10-02 06:32:58.000000,0.4.1,11.0,astroML,conda-forge/astroml,,,['sklearn'],33.0,,https://pypi.org/project/astroML,2022-01-04 20:56:20.000000,33.0,1471.0,1980.0,https://anaconda.org/conda-forge/astroml,2020-02-16 04:18:54.678000,26988.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n569,Prince,MaxHalford/prince,,others,https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000000,2021-12-28 17:01:09.000000,2021-12-28 17:01:09.000000,209.0,13.0,130,20.0,22.0,34.0,68.0,747.0,\"Python factor analysis library (PCA, CA, MCA, MFA, FAMD).\",12.0,23,True,2020-10-06 11:26:47.000000,0.7.1,41.0,prince,,,,['sklearn'],174.0,169.0,https://pypi.org/project/prince,2020-10-06 11:26:47.000000,5.0,12863.0,12863.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n570,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,,data-viz,https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14.000000,2022-01-11 12:46:13.000000,2022-01-11 12:44:45.000000,291.0,2.0,94,23.0,27.0,29.0,66.0,741.0,Bokeh Plotting Backend for Pandas and GeoPandas.,13.0,23,True,2021-04-11 17:43:13.000000,0.5.5,16.0,pandas-bokeh,,,,['pandas'],277.0,266.0,https://pypi.org/project/pandas-bokeh,2021-04-11 17:43:13.000000,11.0,10172.0,10172.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n571,whylogs,whylabs/whylogs,,data-pipelines,https://github.com/whylabs/whylogs,https://github.com/whylabs/whylogs,Apache-2.0,2020-08-14 23:25:32.000000,2022-01-13 00:09:05.000000,2022-01-13 00:05:58.000000,867.0,56.0,39,22.0,320.0,48.0,61.0,724.0,Open standard for end-to-end data and ML monitoring for any scale in any infrastructure.,26.0,23,True,2022-01-07 02:37:59.000000,0.6.21,112.0,whylogs,,,,,,,https://pypi.org/project/whylogs,2022-01-08 01:23:35.000000,,3295.0,3297.0,,,,,,,,3.0,47.0,,,,,,,,,,,,,,,,,,,,\n572,scikit-multilearn,scikit-multilearn/scikit-multilearn,,sklearn-utils,https://github.com/scikit-multilearn/scikit-multilearn,https://github.com/scikit-multilearn/scikit-multilearn,BSD-2-Clause,2014-04-30 13:05:44.000000,2020-06-30 10:19:46.000000,2019-05-21 11:29:06.000000,487.0,,133,35.0,58.0,74.0,94.0,711.0,A scikit-learn based module for multi-label et. al. classification.,15.0,23,False,2018-12-10 16:24:47.000000,0.2.0,6.0,scikit-multilearn,,,,['sklearn'],646.0,628.0,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47.000000,18.0,54743.0,54743.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n573,pdpipe,pdpipe/pdpipe,,data-pipelines,https://github.com/pdpipe/pdpipe,https://github.com/pdpipe/pdpipe,MIT,2017-01-24 20:37:22.000000,2021-12-26 16:26:57.000000,2021-12-26 16:26:54.000000,374.0,22.0,30,17.0,37.0,14.0,26.0,641.0,Easy pipelines for pandas DataFrames.,9.0,23,True,2021-12-26 16:20:20.000000,0.0.71,67.0,pdpipe,,,,['pandas'],43.0,38.0,https://pypi.org/project/pdpipe,2021-12-26 16:19:18.000000,5.0,2165.0,2165.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n574,pickleDB,patx/pickledb,,data-containers,https://github.com/patx/pickledb,https://github.com/patx/pickledb,BSD-3-Clause,2011-10-28 00:04:40.000000,2021-11-09 10:02:37.000000,2019-11-15 03:38:30.000000,105.0,,108,12.0,28.0,22.0,39.0,626.0,pickleDB is an open source key-value store using Pythons json module.,12.0,23,False,2019-01-14 18:48:25.000000,0.9.2,20.0,pickledb,,,,,890.0,807.0,https://pypi.org/project/pickledb,2019-01-14 18:48:25.000000,83.0,15639.0,15639.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n575,PyTorch Sparse,rusty1s/pytorch_sparse,,pytorch-utils,https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53.000000,2021-11-13 22:13:04.000000,2021-11-13 22:13:02.000000,650.0,10.0,70,9.0,33.0,60.0,132.0,554.0,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,17.0,23,True,2021-09-08 09:32:15.000000,0.6.12,24.0,torch-sparse,,,,['pytorch'],32.0,,https://pypi.org/project/torch-sparse,2021-09-08 09:27:37.000000,32.0,16551.0,16551.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n576,findspark,minrk/findspark,,others,https://github.com/minrk/findspark,https://github.com/minrk/findspark,BSD-3-Clause,2015-06-12 21:34:06.000000,2021-06-14 06:11:28.000000,2021-06-14 06:10:09.000000,71.0,,66,8.0,16.0,11.0,10.0,426.0,Find pyspark to make it importable.,14.0,23,True,2020-06-08 09:32:23.000000,1.4.2,12.0,findspark,conda-forge/findspark,,,['spark'],2306.0,2171.0,https://pypi.org/project/findspark,2020-06-08 09:32:23.000000,135.0,1946194.0,1955186.0,https://anaconda.org/conda-forge/findspark,2018-07-06 12:57:33.438000,602485.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n577,joypy,leotac/joypy,,data-viz,https://github.com/leotac/joypy,https://github.com/leotac/joypy,MIT,2017-07-30 17:18:50.000000,2021-12-21 20:58:11.000000,2021-12-19 09:41:43.000000,133.0,22.0,44,11.0,19.0,11.0,37.0,387.0,Joyplots in Python with matplotlib & pandas.,6.0,23,True,2021-12-19 09:42:50.000000,0.2.6,17.0,joypy,conda-forge/joypy,,,,119.0,114.0,https://pypi.org/project/joypy,2021-12-19 09:42:50.000000,5.0,19648.0,20005.0,https://anaconda.org/conda-forge/joypy,2020-12-28 14:07:53.760000,12171.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n578,Hyperactive,SimonBlanke/Hyperactive,,hyperopt,https://github.com/SimonBlanke/Hyperactive,https://github.com/SimonBlanke/Hyperactive,MIT,2018-11-01 08:53:30.000000,2022-01-13 08:25:46.000000,2022-01-13 08:25:46.000000,2058.0,65.0,32,10.0,6.0,7.0,34.0,345.0,An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.,4.0,23,True,2021-12-05 15:03:12.000000,4.0.2,63.0,hyperactive,,,,,14.0,11.0,https://pypi.org/project/hyperactive,2021-12-05 15:03:12.000000,3.0,475.0,478.0,,,,,,,,3.0,97.0,,,,,,,,,,,,,,,,,,,,\n579,pymap3d,geospace-code/pymap3d,,geospatial-data,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03.000000,2021-11-28 17:12:07.000000,2021-11-28 17:12:04.000000,664.0,26.0,61,12.0,17.0,2.0,30.0,225.0,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,11.0,23,False,2021-11-22 06:36:42.000000,2.7.3,51.0,pymap3d,conda-forge/pymap3d,,,,12.0,,https://pypi.org/project/pymap3d,2021-10-18 21:07:53.000000,12.0,43853.0,44606.0,https://anaconda.org/conda-forge/pymap3d,2021-10-19 05:47:09.404000,16584.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n580,stop-words,Alir3z4/python-stop-words,,nlp,https://github.com/Alir3z4/python-stop-words,https://github.com/Alir3z4/python-stop-words,BSD-3-Clause,2014-05-26 06:44:03.000000,2021-12-28 13:59:30.000000,2018-07-23 21:04:09.000000,90.0,,25,6.0,18.0,3.0,9.0,135.0,Get list of common stop words in various languages in Python.,8.0,23,False,2018-07-23 20:58:34.000000,2018.7.23,8.0,stop-words,,,,,1558.0,1412.0,https://pypi.org/project/stop-words,2018-07-23 20:55:55.000000,146.0,929803.0,929803.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n581,DeepSpeech,mozilla/DeepSpeech,,audio,https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53.000000,2021-07-30 19:01:32.000000,,,,3312,,,119.0,,18334.0,\"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..\",142.0,22,True,2020-12-10 17:22:09.000000,0.9.3,100.0,deepspeech,,,,['tensorflow'],35.0,,https://pypi.org/project/deepspeech,2020-12-19 10:05:12.000000,35.0,8621.0,8621.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n582,Dejavu,worldveil/dejavu,,audio,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35.000000,2020-10-29 17:40:17.000000,2020-06-03 05:58:03.000000,146.0,,1250,265.0,64.0,84.0,129.0,5636.0,Audio fingerprinting and recognition in Python.,23.0,22,False,2015-04-19 21:20:16.000000,0.1.3,4.0,PyDejavu,,,,,23.0,20.0,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16.000000,3.0,84.0,84.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n583,TTS,mozilla/TTS,,audio,https://github.com/mozilla/TTS,https://github.com/mozilla/TTS,MPL-2.0,2018-01-23 14:22:06.000000,2022-01-06 13:56:03.000000,2021-02-12 10:36:31.000000,2184.0,,857,159.0,208.0,15.0,509.0,5518.0,Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts).,56.0,22,True,2021-01-29 00:03:56.000000,0.0.9,1.0,,,,,,,,,,,,134.0,,,,,,,,3.0,1616.0,,,,,,,,,,,,,,,,,,,,\n584,neon,NervanaSystems/neon,,ml-frameworks,https://github.com/NervanaSystems/neon,https://github.com/NervanaSystems/neon,Apache-2.0,2014-10-16 01:00:17.000000,2020-12-23 01:21:42.000000,2019-05-22 18:27:54.000000,1118.0,,832,334.0,89.0,90.0,306.0,3856.0,Intel Nervana reference deep learning framework committed to best performance on all hardware.,109.0,22,False,2018-01-05 23:25:04.000000,2.6.0,32.0,nervananeon,,,,,1.0,,https://pypi.org/project/nervananeon,2018-01-05 23:25:04.000000,1.0,90.0,93.0,,,,,,,,3.0,317.0,,,,,,,,,,,,,,,,,,,,\n585,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,,graph,https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16.000000,2021-11-28 17:50:14.000000,2021-10-27 14:34:36.000000,158.0,1.0,400,89.0,71.0,55.0,119.0,2984.0,Generate embeddings from large-scale graph-structured data.,24.0,22,True,2019-10-14 16:45:11.000000,1.0.0,3.0,torchbiggraph,,,,['pytorch'],3.0,,https://pypi.org/project/torchbiggraph,2019-05-01 21:31:13.000000,3.0,1173.0,1176.0,,,,,,,,3.0,122.0,,,,,,,,,,,,,,,,,,,,\n586,gpt-2-simple,minimaxir/gpt-2-simple,,nlp,https://github.com/minimaxir/gpt-2-simple,https://github.com/minimaxir/gpt-2-simple,MIT,2019-04-13 20:00:52.000000,2022-01-02 14:17:56.000000,2021-10-18 01:45:21.000000,143.0,4.0,591,75.0,49.0,151.0,93.0,2845.0,Python package to easily retrain OpenAIs GPT-2 text-generating model on new texts.,18.0,22,True,2021-10-18 02:38:39.000000,0.8.1,18.0,gpt-2-simple,,,,['tensorflow'],5.0,,https://pypi.org/project/gpt-2-simple,2021-10-18 01:47:20.000000,5.0,4681.0,4689.0,,,,,,,,3.0,283.0,,,,,,,,,,,,,,,,,,,,\n587,NLP Architect,IntelLabs/nlp-architect,,nlp,https://github.com/IntelLabs/nlp-architect,https://github.com/IntelLabs/nlp-architect,Apache-2.0,2018-05-17 21:00:13.000000,2022-01-13 03:30:19.000000,2021-09-12 08:29:06.000000,954.0,,437,167.0,106.0,21.0,112.0,2776.0,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,37.0,22,True,2020-11-17 12:32:37.000000,0.5.5.1,13.0,nlp-architect,,,,,8.0,8.0,https://pypi.org/project/nlp-architect,2020-04-12 11:34:38.000000,,325.0,325.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n588,dpark,douban/dpark,,data-pipelines,https://github.com/douban/dpark,https://github.com/douban/dpark,BSD-3-Clause,2012-04-11 08:35:06.000000,2020-12-25 10:36:06.000000,2020-12-25 10:36:05.000000,1467.0,,554,267.0,30.0,,60.0,2673.0,\"Python clone of Spark, a MapReduce alike framework in Python.\",35.0,22,False,2018-07-27 04:11:36.000000,0.5.0,19.0,dpark,,,,['spark'],6.0,5.0,https://pypi.org/project/dpark,2018-07-27 04:11:36.000000,1.0,96.0,96.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n589,StreamAlert,airbnb/streamalert,,others,https://github.com/airbnb/streamalert,https://github.com/airbnb/streamalert,Apache-2.0,2017-01-22 01:10:56.000000,2021-12-06 17:56:08.000000,2021-11-04 18:52:02.000000,1900.0,7.0,322,105.0,985.0,84.0,257.0,2643.0,\"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data..\",33.0,22,True,2021-11-04 19:07:51.000000,3.5.0,28.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n590,cleanlab,cgnorthcutt/cleanlab,,others,https://github.com/cleanlab/cleanlab,https://github.com/cleanlab/cleanlab,AGPL-3.0,2018-05-11 01:55:21.000000,2022-01-10 11:10:42.000000,2022-01-10 11:10:37.000000,701.0,16.0,250,54.0,11.0,35.0,47.0,2591.0,\"The standard package for machine learning with noisy labels, finding mislabeled data, and uncertainty quantification...\",6.0,22,False,2021-04-18 19:52:49.000000,1.0,15.0,cleanlab,,,,,28.0,26.0,https://pypi.org/project/cleanlab,2020-02-17 07:33:06.000000,2.0,3948.0,3948.0,,,,,,,,3.0,,,,,,,,,,cleanlab/cleanlab,,,,,,,,,,,\n591,Texthero,jbesomi/texthero,,nlp,https://github.com/jbesomi/texthero,https://github.com/jbesomi/texthero,MIT,2020-04-06 15:16:05.000000,2021-07-19 13:56:08.000000,2021-07-19 13:56:08.000000,269.0,,207,44.0,105.0,76.0,59.0,2418.0,\"Text preprocessing, representation and visualization from zero to hero.\",18.0,22,True,2021-07-01 17:11:02.000000,1.1.0,10.0,texthero,,,,,4.0,,https://pypi.org/project/texthero,2021-07-01 17:11:02.000000,4.0,9250.0,9254.0,,,,,,,,3.0,87.0,,,,,,,,,,,,,,,,,,,,\n592,knockknock,huggingface/knockknock,,ml-experiments,https://github.com/huggingface/knockknock,https://github.com/huggingface/knockknock,MIT,2019-03-20 13:08:55.000000,2021-09-22 02:27:34.000000,2020-03-16 04:26:47.000000,75.0,,196,50.0,36.0,14.0,23.0,2346.0,Knock Knock: Get notified when your training ends with only two additional lines of code.,18.0,22,False,2020-03-04 04:15:47.000000,0.1.8,10.0,knockknock,conda-forge/knockknock,,,,235.0,232.0,https://pypi.org/project/knockknock,2020-03-16 14:30:23.000000,3.0,725.0,1036.0,https://anaconda.org/conda-forge/knockknock,2020-03-17 01:52:16.317000,8412.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n593,Coach,IntelLabs/coach,,reinforcement-learning,https://github.com/IntelLabs/coach,https://github.com/IntelLabs/coach,Apache-2.0,2017-10-01 19:27:43.000000,2021-12-27 09:52:12.000000,2021-06-28 07:40:53.000000,521.0,,410,131.0,225.0,87.0,183.0,2095.0,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,35.0,22,True,2019-10-10 14:17:10.000000,1.0.1,13.0,rl_coach,,,,,2.0,,https://pypi.org/project/rl_coach,2019-10-10 14:17:10.000000,2.0,153.0,153.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n594,fast-bert,utterworks/fast-bert,,nlp,https://github.com/utterworks/fast-bert,https://github.com/utterworks/fast-bert,Apache-2.0,2019-04-18 22:01:20.000000,2022-01-11 01:58:54.000000,2022-01-10 14:57:25.000000,302.0,2.0,334,42.0,62.0,152.0,94.0,1688.0,Super easy library for BERT based NLP models.,35.0,22,True,2022-01-10 14:21:11.000000,1.9.15,49.0,fast-bert,,,,,2.0,,https://pypi.org/project/fast-bert,2022-01-10 14:21:11.000000,2.0,1863.0,1863.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n595,AmpliGraph,Accenture/AmpliGraph,,graph,https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05.000000,2021-09-24 18:27:27.000000,2021-05-25 16:49:48.000000,947.0,,193,59.0,58.0,20.0,181.0,1671.0,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,19.0,22,True,2021-05-25 16:57:42.000000,1.4.0,12.0,ampligraph,,,,['tensorflow'],17.0,17.0,https://pypi.org/project/ampligraph,2021-05-25 16:47:29.000000,,723.0,723.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n596,Talos,autonomio/talos,,hyperopt,https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41.000000,2021-05-27 09:49:51.000000,2021-05-27 09:49:50.000000,559.0,,246,30.0,159.0,35.0,354.0,1483.0,\"Hyperparameter Optimization for TensorFlow, Keras and PyTorch.\",19.0,22,True,2020-11-09 16:48:30.000000,1.0,14.0,talos,,,,['tensorflow'],141.0,135.0,https://pypi.org/project/talos,2020-11-09 16:49:08.000000,6.0,778.0,778.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n597,FinTA,peerchemist/finta,,financial-data,https://github.com/peerchemist/finta,https://github.com/peerchemist/finta,LGPL-3.0,2016-09-01 21:02:46.000000,2021-10-19 18:06:53.000000,2021-10-19 18:06:53.000000,392.0,3.0,455,74.0,46.0,17.0,63.0,1421.0,Common financial technical indicators implemented in Pandas.,27.0,22,False,2021-04-03 08:51:49.000000,1.3,19.0,finta,,,,,152.0,146.0,https://pypi.org/project/finta,2020-10-21 11:39:44.000000,6.0,6344.0,6344.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n598,EfficientNets,rwightman/gen-efficientnet-pytorch,,pytorch-utils,https://github.com/rwightman/gen-efficientnet-pytorch,https://github.com/rwightman/gen-efficientnet-pytorch,Apache-2.0,2019-05-11 19:35:56.000000,2021-07-08 19:05:05.000000,2021-07-08 19:03:55.000000,108.0,,191,45.0,11.0,1.0,50.0,1420.0,\"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.\",5.0,22,True,2021-07-08 19:05:05.000000,1.0.2,10.0,geffnet,,,,['pytorch'],89.0,88.0,https://pypi.org/project/geffnet,2021-07-08 19:05:05.000000,1.0,5860.0,5860.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n599,Classy Vision,facebookresearch/ClassyVision,,image,https://github.com/facebookresearch/ClassyVision,https://github.com/facebookresearch/ClassyVision,MIT,2019-09-13 22:54:44.000000,2021-12-28 18:38:46.000000,2021-12-28 18:38:43.000000,397.0,5.0,238,49.0,701.0,53.0,61.0,1398.0,An end-to-end PyTorch framework for image and video classification.,67.0,22,True,2021-07-19 20:08:51.000000,0.6.0,17.0,classy_vision,conda-forge/classy_vision,,,['pytorch'],2.0,,https://pypi.org/project/classy_vision,2021-07-09 22:58:06.000000,2.0,768.0,1222.0,https://anaconda.org/conda-forge/classy_vision,2020-12-11 20:08:25.437000,10907.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n600,Pypeline,cgarciae/pypeln,,data-pipelines,https://github.com/cgarciae/pypeln,https://github.com/cgarciae/pypeln,MIT,2018-09-01 13:43:31.000000,2022-01-06 15:32:49.000000,2022-01-06 15:29:14.000000,238.0,3.0,77,39.0,34.0,15.0,42.0,1303.0,Concurrent data pipelines in Python .,12.0,22,True,2022-01-06 15:32:49.000000,0.4.9,36.0,pypeln,,,,,9.0,,https://pypi.org/project/pypeln,2022-01-06 15:32:39.000000,9.0,4692.0,4692.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n601,MLBox,AxeldeRomblay/MLBox,,hyperopt,https://github.com/AxeldeRomblay/MLBox,https://github.com/AxeldeRomblay/MLBox,BSD-1-Clause,2017-06-01 16:59:24.000000,2021-08-25 15:38:03.000000,2020-08-25 09:26:27.000000,1121.0,,258,64.0,43.0,16.0,74.0,1279.0,MLBox is a powerful Automated Machine Learning python library.,9.0,22,False,2020-08-25 09:32:37.000000,0.8.5,21.0,mlbox,,,,,28.0,28.0,https://pypi.org/project/mlbox,2020-08-25 09:32:37.000000,,1593.0,1593.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n602,pytorch_geometric_temporal,benedekrozemberczki/pytorch_geometric_temporal,,graph,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,MIT,2020-06-27 01:11:33.000000,2022-01-10 08:20:16.000000,2022-01-03 16:01:07.000000,1820.0,36.0,176,37.0,53.0,5.0,69.0,1276.0,PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021).,15.0,22,True,2021-12-31 11:06:06.000000,_00042,40.0,torch-geometric-temporal,,,,['pytorch'],1.0,,https://pypi.org/project/torch-geometric-temporal,2021-12-31 11:00:33.000000,1.0,831.0,831.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n603,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,,pytorch-utils,https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000000,2021-12-29 20:02:14.000000,2021-12-29 20:02:10.000000,817.0,39.0,87,24.0,45.0,5.0,18.0,1176.0,PyTorch extensions for fast R&D prototyping and Kaggle farming.,7.0,22,True,2021-08-12 07:49:51.000000,0.4.4,22.0,pytorch_toolbelt,,,,['pytorch'],6.0,,https://pypi.org/project/pytorch_toolbelt,2021-08-12 07:49:51.000000,6.0,6717.0,6717.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n604,tensorrec,jfkirk/tensorrec,,recommender-systems,https://github.com/jfkirk/tensorrec,https://github.com/jfkirk/tensorrec,Apache-2.0,2017-02-28 18:51:11.000000,2022-01-13 00:49:18.000000,2020-02-04 21:10:25.000000,334.0,,218,65.0,45.0,35.0,90.0,1169.0,A TensorFlow recommendation algorithm and framework in Python.,9.0,22,False,2019-04-02 00:53:47.000000,0.26.2,30.0,tensorrec,,,,['tensorflow'],29.0,26.0,https://pypi.org/project/tensorrec,2019-04-02 00:53:47.000000,3.0,323.0,323.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n605,TaskTiger,closeio/tasktiger,,data-pipelines,https://github.com/closeio/tasktiger,https://github.com/closeio/tasktiger,MIT,2015-05-14 00:26:32.000000,2021-12-02 18:08:25.000000,2021-12-02 17:40:09.000000,273.0,2.0,62,45.0,145.0,33.0,35.0,1104.0,Python task queue using Redis.,25.0,22,True,2021-12-02 17:42:13.000000,0.16,26.0,tasktiger,,,,,32.0,22.0,https://pypi.org/project/tasktiger,2021-12-02 18:08:25.000000,10.0,1558.0,1558.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n606,gplearn,trevorstephens/gplearn,,others,https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14.000000,2021-12-15 16:04:40.206000,2021-10-18 05:33:29.000000,148.0,1.0,186,50.0,76.0,46.0,129.0,1063.0,\"Genetic Programming in Python, with a scikit-learn inspired API.\",11.0,22,True,2019-06-01 02:04:52.000000,0.4.1,6.0,gplearn,,,,['sklearn'],227.0,217.0,https://pypi.org/project/gplearn,2019-06-01 02:04:52.000000,10.0,2661.0,2661.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n607,DALEX,ModelOriented/DALEX,,interpretability,https://github.com/ModelOriented/DALEX,https://github.com/ModelOriented/DALEX,GPL-3.0,2018-02-18 03:24:12.000000,2021-11-08 12:23:05.000000,2021-11-08 12:23:03.000000,594.0,7.0,123,42.0,146.0,16.0,313.0,983.0,moDel Agnostic Language for Exploration and eXplanation.,20.0,22,False,2021-11-08 12:22:11.000000,1.4.1,23.0,dalex,,,,,32.0,29.0,https://pypi.org/project/dalex,2021-11-08 12:22:11.000000,3.0,5204.0,5204.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n608,fastFM,ibayer/fastFM,,recommender-systems,https://github.com/ibayer/fastFM,https://github.com/ibayer/fastFM,BSD-3-Clause,2014-10-27 12:25:51.000000,2021-12-06 14:42:35.000000,2021-03-24 12:22:31.000000,297.0,,190,30.0,60.0,46.0,60.0,958.0,fastFM: A Library for Factorization Machines.,20.0,22,True,2017-11-23 06:59:56.000000,0.2.11,10.0,fastfm,,,,,101.0,93.0,https://pypi.org/project/fastfm,2017-11-23 06:59:56.000000,8.0,605.0,610.0,,,,,,,,3.0,426.0,,,,,,,,,,,,,,,,,,,,\n609,keract,philipperemy/keract,,interpretability,https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57.000000,2022-01-12 07:40:00.000000,2022-01-12 07:40:00.000000,384.0,2.0,183,33.0,66.0,3.0,81.0,955.0,Layers Outputs and Gradients in Keras. Made easy.,16.0,22,True,2021-06-19 16:14:57.000000,4.5.0,38.0,keract,,,,['tensorflow'],115.0,110.0,https://pypi.org/project/keract,2021-06-19 16:14:15.000000,5.0,1276.0,1276.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n610,nude.py,hhatto/nude.py,,image,https://github.com/hhatto/nude.py,https://github.com/hhatto/nude.py,MIT,2013-06-09 06:55:55.000000,2020-11-23 13:49:32.000000,2020-11-23 13:49:02.000000,79.0,,133,34.0,16.0,7.0,3.0,833.0,Nudity detection with Python.,12.0,22,False,2020-11-23 13:49:17.000000,0.5.1,10.0,nudepy,,,,,1549.0,1539.0,https://pypi.org/project/nudepy,2020-11-23 13:49:17.000000,10.0,9187.0,9187.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n611,GPUtil,anderskm/gputil,,gpu-utilities,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43.000000,2020-10-01 05:42:49.000000,2019-08-16 09:00:15.000000,140.0,,88,11.0,17.0,11.0,14.0,808.0,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,13.0,22,False,2018-12-18 09:12:13.000000,1.4.0,8.0,gputil,,,,,1785.0,1689.0,https://pypi.org/project/gputil,2018-12-18 09:12:13.000000,96.0,355276.0,355276.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n612,YouTokenToMe,vkcom/youtokentome,,nlp,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28.000000,2021-01-28 23:05:01.000000,2021-01-28 19:04:09.000000,79.0,,57,23.0,42.0,28.0,23.0,781.0,Unsupervised text tokenizer focused on computational efficiency.,6.0,22,True,2020-02-13 09:57:47.000000,1.0.6,14.0,youtokentome,,,,,218.0,203.0,https://pypi.org/project/youtokentome,2020-02-12 18:24:46.000000,15.0,31767.0,31767.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n613,DiCE,interpretml/DiCE,,interpretability,https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000000,2022-01-13 12:00:04.000000,2022-01-07 10:17:26.000000,483.0,42.0,103,17.0,160.0,46.0,53.0,747.0,Generate Diverse Counterfactual Explanations for any machine learning model.,12.0,22,True,2021-09-27 06:59:57.000000,0.7.2,8.0,dice-ml,,,,\"['tensorflow', 'pytorch']\",3.0,,https://pypi.org/project/dice-ml,2021-09-27 06:59:57.000000,3.0,15707.0,15707.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n614,avalanche,ContinualAI/avalanche,,others,https://github.com/ContinualAI/avalanche,https://github.com/ContinualAI/avalanche,MIT,2020-03-05 11:32:13.000000,2022-01-11 10:48:52.000000,2022-01-11 10:48:51.000000,2324.0,187.0,109,26.0,310.0,71.0,382.0,704.0,Avalanche: an End-to-End Library for Continual Learning.,48.0,22,True,2021-12-16 11:04:28.000000,0.1.0,2.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n615,TreeInterpreter,andosa/treeinterpreter,,interpretability,https://github.com/andosa/treeinterpreter,https://github.com/andosa/treeinterpreter,BSD-3-Clause,2015-08-02 20:26:21.000000,2021-02-28 18:33:06.000000,2021-02-28 18:33:06.000000,37.0,,132,26.0,17.0,24.0,4.0,693.0,Package for interpreting scikit-learns decision tree and random forest predictions.,11.0,22,True,2021-01-10 20:12:39.000000,0.2.3,5.0,treeinterpreter,,,,['sklearn'],199.0,189.0,https://pypi.org/project/treeinterpreter,2021-01-10 20:12:39.000000,10.0,161255.0,161255.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n616,Objax,google/objax,,ml-frameworks,https://github.com/google/objax,https://github.com/google/objax,Apache-2.0,2020-08-20 06:20:40.000000,2022-01-12 18:31:57.000000,2022-01-12 18:31:56.000000,422.0,8.0,59,25.0,139.0,45.0,57.0,669.0,Objax is a machine learning framework that provides an Object Oriented layer for JAX.,22.0,22,True,2022-01-10 21:42:22.000000,1.5.0,8.0,objax,,,,['jax'],19.0,17.0,https://pypi.org/project/objax,2022-01-10 21:42:22.000000,2.0,260.0,260.0,,,,,,,,3.0,,,2.0,,,,,,,,,,,,,,,,,,\n617,PDPbox,SauceCat/PDPbox,,data-viz,https://github.com/SauceCat/PDPbox,https://github.com/SauceCat/PDPbox,MIT,2017-06-26 08:01:54.000000,2021-06-24 15:32:01.000000,2021-03-14 16:01:01.000000,227.0,,105,17.0,23.0,20.0,38.0,646.0,python partial dependence plot toolbox.,7.0,22,True,2021-03-14 16:21:17.000000,0.2.1,3.0,pdpbox,conda-forge/pdpbox,,,,491.0,466.0,https://pypi.org/project/pdpbox,2021-03-14 16:21:17.000000,25.0,51886.0,52233.0,https://anaconda.org/conda-forge/pdpbox,2021-03-14 19:37:51.465000,10418.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n618,What-If Tool,PAIR-code/what-if-tool,,interpretability,https://github.com/PAIR-code/what-if-tool,https://github.com/PAIR-code/what-if-tool,Apache-2.0,2018-09-07 20:26:10.000000,2022-01-12 23:07:13.000000,2022-01-05 20:19:46.000000,328.0,6.0,118,25.0,96.0,57.0,47.0,623.0,Source code/webpage/demos for the What-If Tool.,20.0,22,True,2021-10-12 17:42:50.869000,1.8.1,40.0,witwidget,,,,,3.0,,https://pypi.org/project/witwidget,2021-10-12 17:42:30.000000,3.0,6160.0,9379.0,,,,,,,,3.0,,,,wit-widget,https://www.npmjs.com/package/wit-widget,2021-10-12 17:42:50.869000,,3219.0,,,,,,,,,,,,,\n619,HpBandSter,automl/HpBandSter,,hyperopt,https://github.com/automl/HpBandSter,https://github.com/automl/HpBandSter,BSD-3-Clause,2017-12-17 20:28:20.000000,2021-01-31 10:05:37.000000,2019-03-26 09:26:28.000000,187.0,,107,24.0,22.0,57.0,35.0,508.0,a distributed Hyperband implementation on Steroids.,11.0,22,False,2019-07-30 12:47:43.000000,1.0,8.0,hpbandster,,,,,198.0,188.0,https://pypi.org/project/hpbandster,2018-11-06 12:56:55.000000,10.0,13190.0,13190.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n620,python-ternary,marcharper/python-ternary,,data-viz,https://github.com/marcharper/python-ternary,https://github.com/marcharper/python-ternary,MIT,2012-08-07 23:48:55.000000,2021-12-17 13:03:20.000000,2021-10-21 03:04:53.000000,393.0,1.0,130,15.0,69.0,25.0,90.0,507.0,Ternary plotting library for python with matplotlib.,27.0,22,True,2021-02-17 18:38:15.000000,1.0.8,11.0,python-ternary,conda-forge/python-ternary,,,,102.0,81.0,https://pypi.org/project/python-ternary,2021-02-17 18:38:15.000000,21.0,15314.0,16191.0,https://anaconda.org/conda-forge/python-ternary,2021-02-17 22:38:55.625000,60517.0,,,,,3.0,17.0,,,,,,,,,,,,,,,,,,,,\n621,random-forest-importances,parrt/random-forest-importances,,interpretability,https://github.com/parrt/random-forest-importances,https://github.com/parrt/random-forest-importances,MIT,2018-03-22 19:20:13.000000,2021-01-30 21:50:08.000000,2021-01-30 21:50:02.000000,249.0,,109,21.0,18.0,6.0,28.0,492.0,Code to compute permutation and drop-column importances in Python scikit-learn models.,14.0,22,True,2021-01-28 23:23:17.000000,1.3.7,22.0,rfpimp,,,,['sklearn'],93.0,88.0,https://pypi.org/project/rfpimp,2021-01-28 23:19:33.000000,5.0,13089.0,13089.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n622,Neuraxle,Neuraxio/Neuraxle,,hyperopt,https://github.com/Neuraxio/Neuraxle,https://github.com/Neuraxio/Neuraxle,Apache-2.0,2019-03-26 21:01:54.000000,2022-01-12 21:29:49.000000,2021-11-01 21:10:39.000000,1593.0,8.0,52,19.0,210.0,142.0,202.0,491.0,A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right..,7.0,22,True,2021-10-17 21:12:29.000000,0.6.1,22.0,neuraxle,,,,,25.0,24.0,https://pypi.org/project/neuraxle,2021-10-17 21:07:02.000000,1.0,216.0,216.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n623,pivottablejs,nicolaskruchten/jupyter_pivottablejs,,data-viz,https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,MIT,2015-09-09 13:39:18.000000,2018-12-04 14:43:26.000000,2018-12-04 14:43:25.000000,32.0,,61,21.0,7.0,16.0,40.0,453.0,\"Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js.\",3.0,22,False,2018-01-15 18:14:37.000000,0.9.0,10.0,pivottablejs,,,,['jupyter'],230.0,208.0,https://pypi.org/project/pivottablejs,2018-01-15 18:14:37.000000,22.0,10995.0,10995.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n624,pySBD,nipunsadvilkar/pySBD,,nlp,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20.000000,2021-04-25 08:42:15.000000,2021-02-11 16:40:18.000000,279.0,,46,11.0,42.0,12.0,48.0,403.0,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,6.0,22,True,2021-02-11 16:42:37.000000,0.3.4,15.0,pysbd,,,,,264.0,261.0,https://pypi.org/project/pysbd,2021-02-11 16:36:33.000000,3.0,32276.0,32276.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n625,optunity,claesenm/optunity,,hyperopt,https://github.com/claesenm/optunity,https://github.com/claesenm/optunity,BSD-3-Clause,2014-05-28 17:29:11.000000,2020-05-11 14:32:39.000000,2020-05-11 14:32:38.000000,782.0,,73,24.0,9.0,48.0,48.0,379.0,optimization routines for hyperparameter tuning.,9.0,22,False,2015-09-30 05:02:00.000000,1.1.1,6.0,optunity,,,,,83.0,69.0,https://pypi.org/project/optunity,2015-09-30 05:02:00.000000,14.0,13502.0,13502.0,,,,,,,,3.0,67.0,,,,,,,,,,,,,,,,,,,,\n626,Studio.ml,studioml/studio,,ml-experiments,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28.000000,2021-09-14 22:55:51.000000,2021-09-14 22:26:21.000000,2409.0,,52,25.0,229.0,57.0,195.0,374.0,Studio: Simplify and expedite model building process.,21.0,22,True,2021-09-14 22:55:51.000000,0.0.49,208.0,studioml,,,,,5.0,5.0,https://pypi.org/project/studioml,2021-09-14 22:55:51.000000,,264.0,264.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n627,lazypredict,shankarpandala/lazypredict,,hyperopt,https://github.com/shankarpandala/lazypredict,https://github.com/shankarpandala/lazypredict,MIT,2019-11-16 09:56:35.000000,2021-12-18 16:17:09.000000,2021-10-18 15:23:12.000000,215.0,3.0,41,7.0,303.0,29.0,31.0,278.0,Lazy Predict help build a lot of basic models without much code and helps understand which models works better without..,16.0,22,False,2021-02-17 15:38:45.000000,0.2.9,11.0,lazypredict,,,,['sklearn'],227.0,227.0,https://pypi.org/project/lazypredict,2021-02-17 15:38:45.000000,,7577.0,7577.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n628,pysparkling,svenkreiss/pysparkling,,data-pipelines,https://github.com/svenkreiss/pysparkling,https://github.com/svenkreiss/pysparkling,MIT,2015-05-09 19:23:20.000000,2021-10-31 16:40:25.000000,2021-02-22 17:29:11.000000,1527.0,,45,6.0,136.0,7.0,21.0,243.0,A pure Python implementation of Apache Sparks RDD and DStream interfaces.,10.0,22,False,2021-01-10 21:15:26.000000,0.6.1,68.0,pysparkling,,,,,95.0,87.0,https://pypi.org/project/pysparkling,2021-01-10 21:15:26.000000,8.0,14491.0,14491.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n629,py3nvml,fbcotter/py3nvml,,gpu-utilities,https://github.com/fbcotter/py3nvml,https://github.com/fbcotter/py3nvml,BSD-3-Clause,2016-11-21 01:07:37.000000,2021-11-22 14:30:25.000000,2021-09-06 14:45:26.000000,83.0,,31,11.0,9.0,3.0,10.0,200.0,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,8.0,22,False,2021-11-22 14:30:25.000000,0.2.7,14.0,py3nvml,conda-forge/py3nvml,,,,402.0,364.0,https://pypi.org/project/py3nvml,2021-11-22 14:30:25.000000,38.0,55417.0,56423.0,https://anaconda.org/conda-forge/py3nvml,2021-11-19 20:12:42.962000,24157.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n630,DeepMatcher,anhaidgroup/deepmatcher,,nlp,https://github.com/anhaidgroup/deepmatcher,https://github.com/anhaidgroup/deepmatcher,BSD-3-Clause,2017-12-01 19:01:11.000000,2021-06-13 01:13:43.000000,2021-06-13 00:22:13.000000,176.0,,1475,15.0,16.0,54.0,22.0,3974.0,Python package for performing Entity and Text Matching using Deep Learning.,7.0,21,True,2021-05-27 22:28:29.000000,0.1.2,13.0,deepmatcher,,,,,14.0,14.0,https://pypi.org/project/deepmatcher,2021-06-13 01:13:24.000000,,496.0,496.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n631,Crypto Signals,CryptoSignal/crypto-signal,,financial-data,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24.000000,2021-10-19 20:21:49.000000,2021-06-28 16:44:17.000000,564.0,,993,296.0,193.0,54.0,198.0,3749.0,\"Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 3,100+ stars, 900+ forks.\",28.0,21,True,,,,,,shadowreaver/crypto-signal,,,,,,,,,2712.0,,,,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133,7.0,141055.0,3.0,,,,,,,,,,,,,,,,,,,,,\n632,TensorWatch,microsoft/tensorwatch,,ml-experiments,https://github.com/microsoft/tensorwatch,https://github.com/microsoft/tensorwatch,MIT,2019-05-15 08:29:34.000000,2021-04-13 09:44:02.000000,2021-01-15 19:46:05.000000,112.0,,335,105.0,14.0,50.0,15.0,3198.0,\"Debugging, monitoring and visualization for Python Machine Learning and Data Science.\",13.0,21,True,2020-03-04 07:26:22.000000,0.9.1,14.0,tensorwatch,,,,,71.0,65.0,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22.000000,6.0,2891.0,2891.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n633,tf-quant-finance,google/tf-quant-finance,,financial-data,https://github.com/google/tf-quant-finance,https://github.com/google/tf-quant-finance,Apache-2.0,2019-07-24 16:09:50.000000,2022-01-12 20:35:15.000000,2022-01-12 20:35:12.000000,837.0,28.0,397,159.0,31.0,19.0,19.0,2946.0,High-performance TensorFlow library for quantitative finance.,36.0,21,True,,,26.0,tf-quant-finance,,,,['tensorflow'],2.0,,https://pypi.org/project/tf-quant-finance,2022-01-07 21:15:09.000000,2.0,594.0,594.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n634,Luminoth,tryolabs/luminoth,,image,https://github.com/tryolabs/luminoth,https://github.com/tryolabs/luminoth,BSD-3-Clause,2017-02-16 15:07:46.000000,2021-08-25 16:02:32.000000,2020-01-07 20:53:25.000000,838.0,,413,132.0,130.0,60.0,128.0,2385.0,Deep Learning toolkit for Computer Vision.,15.0,21,False,2018-11-09 21:35:17.000000,0.2.3,10.0,luminoth,,,,['tensorflow'],41.0,39.0,https://pypi.org/project/luminoth,2018-11-09 21:35:17.000000,2.0,690.0,926.0,,,,,,,,3.0,12058.0,,,,,,,,,,,,,,,,,,,,\n635,DeepWalk,phanein/deepwalk,,graph,https://github.com/phanein/deepwalk,https://github.com/phanein/deepwalk,GPL-3.0,2014-08-23 03:38:20.000000,2021-09-16 12:01:08.000000,2020-04-02 01:05:35.000000,46.0,,782,88.0,26.0,37.0,80.0,2374.0,DeepWalk - Deep Learning for Graphs.,10.0,21,False,2018-04-29 21:05:18.000000,1.0.3,4.0,deepwalk,,,,,54.0,47.0,https://pypi.org/project/deepwalk,2018-04-29 21:05:18.000000,7.0,2220.0,2220.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n636,Sweetviz,fbdesignpro/sweetviz,,data-viz,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47.000000,2021-10-01 14:11:39.000000,2021-07-08 14:31:20.000000,102.0,,186,49.0,10.0,27.0,70.0,1881.0,\"Visualize and compare datasets, target values and associations, with one line of code.\",6.0,21,True,2021-07-08 14:32:09.000000,2.1.3,31.0,sweetviz,,,,,5.0,,https://pypi.org/project/sweetviz,2021-07-08 14:32:09.000000,5.0,52299.0,52299.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n637,reformer-pytorch,lucidrains/reformer-pytorch,,pytorch-utils,https://github.com/lucidrains/reformer-pytorch,https://github.com/lucidrains/reformer-pytorch,MIT,2020-01-09 20:42:37.000000,2021-11-06 23:09:00.000000,2021-11-06 23:08:22.000000,245.0,1.0,220,51.0,32.0,13.0,104.0,1664.0,\"Reformer, the efficient Transformer, in Pytorch.\",10.0,21,True,2021-11-06 23:09:00.000000,1.4.4,139.0,reformer-pytorch,,,,['pytorch'],,,https://pypi.org/project/reformer-pytorch,2021-11-06 23:09:00.000000,,5891.0,5891.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n638,hiddenlayer,waleedka/hiddenlayer,,ml-experiments,https://github.com/waleedka/hiddenlayer,https://github.com/waleedka/hiddenlayer,MIT,2018-05-18 22:34:51.000000,2021-10-16 05:29:37.000000,2020-04-24 06:58:09.000000,58.0,,221,47.0,11.0,46.0,34.0,1567.0,\"Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.\",6.0,21,False,2018-12-03 04:33:29.000000,0.2,3.0,hiddenlayer,,,,\"['pytorch', 'tensorflow', 'jupyter']\",102.0,93.0,https://pypi.org/project/hiddenlayer,2020-04-24 07:32:11.000000,9.0,1925.0,1925.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n639,lore,instacart/lore,,ml-experiments,https://github.com/instacart/lore,https://github.com/instacart/lore,MIT,2017-10-19 21:51:45.000000,2021-11-22 20:05:31.000000,2020-05-11 22:26:45.000000,270.0,,121,103.0,145.0,16.0,18.0,1537.0,Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers.,23.0,21,False,2020-05-11 22:28:23.000000,0.8.4,231.0,lore,,,,,18.0,17.0,https://pypi.org/project/lore,2020-05-11 22:28:23.000000,1.0,897.0,897.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n640,DELTA,Delta-ML/delta,,nlp,https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57.000000,2021-11-08 22:20:35.000000,2020-12-17 06:57:15.000000,932.0,,292,66.0,188.0,5.0,74.0,1483.0,DELTA is a deep learning based natural language and speech processing platform.,41.0,21,False,2020-07-16 09:31:45.000000,0.3.3,4.0,delta-nlp,,zh794390558/delta,,['tensorflow'],,,https://pypi.org/project/delta-nlp,2020-03-27 04:46:19.000000,,21.0,429.0,,,,https://hub.docker.com/r/zh794390558/delta,2021-08-03 14:50:00.516864,,13067.0,3.0,,,,,,,,,,,,,,,,,,,,,\n641,anaGo,Hironsan/anago,,nlp,https://github.com/Hironsan/anago,https://github.com/Hironsan/anago,MIT,2017-06-26 21:28:36.000000,2021-08-25 14:45:13.000000,2021-04-01 12:34:50.000000,298.0,,362,64.0,37.0,37.0,72.0,1428.0,\"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.\",11.0,21,True,2018-07-17 01:59:21.000000,1.0.8,14.0,anago,,,,['tensorflow'],32.0,27.0,https://pypi.org/project/anago,2018-07-17 01:59:21.000000,5.0,403.0,403.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n642,jiant,nyu-mll/jiant,,nlp,https://github.com/nyu-mll/jiant,https://github.com/nyu-mll/jiant,MIT,2018-06-18 18:12:47.000000,2021-12-31 06:52:04.000000,2021-12-31 06:51:58.000000,1922.0,2.0,259,45.0,790.0,62.0,485.0,1364.0,jiant is an nlp toolkit.,56.0,21,True,2021-05-10 18:56:39.000000,2.2.0,19.0,jiant,,,,,2.0,2.0,https://pypi.org/project/jiant,2021-05-10 18:56:39.000000,,119.0,119.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n643,ThunderSVM,Xtra-Computing/thundersvm,,ml-frameworks,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04.000000,2022-01-07 08:19:34.000000,2021-02-10 05:12:44.000000,902.0,,184,52.0,50.0,59.0,145.0,1362.0,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,33.0,21,True,2020-03-13 12:36:30.000000,0.3.12,9.0,thundersvm,,,,,,,https://pypi.org/project/thundersvm,2020-03-13 12:36:30.000000,,545.0,582.0,,,,,,,,3.0,2314.0,,,,,,,,,,,,,,,,,,,,\n644,Higher,facebookresearch/higher,,pytorch-utils,https://github.com/facebookresearch/higher,https://github.com/facebookresearch/higher,Apache-2.0,2019-09-06 18:58:36.000000,2022-01-06 16:58:33.000000,2021-10-26 07:08:33.000000,31.0,1.0,93,27.0,30.0,45.0,50.0,1319.0,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,9.0,21,True,2020-07-14 12:20:32.000000,0.2.1,2.0,higher,,,,['pytorch'],104.0,102.0,https://pypi.org/project/higher,2020-07-14 12:20:32.000000,2.0,7526.0,7526.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n645,DLTK,DLTK/DLTK,,medical-data,https://github.com/DLTK/DLTK,https://github.com/DLTK/DLTK,Apache-2.0,2017-05-02 15:40:36.000000,2021-08-25 14:40:15.000000,2019-01-21 14:01:28.000000,379.0,,390,103.0,28.0,11.0,24.0,1291.0,Deep Learning Toolkit for Medical Image Analysis.,9.0,21,False,2018-02-26 17:43:57.000000,0.2.1,5.0,dltk,,,,['tensorflow'],22.0,22.0,https://pypi.org/project/dltk,2018-02-26 17:43:57.000000,,187.0,187.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n646,ecco,jalammar/ecco,,interpretability,https://github.com/jalammar/ecco,https://github.com/jalammar/ecco,BSD-3-Clause,2020-11-07 10:06:34.000000,2022-01-12 12:05:00.000000,2022-01-12 09:00:22.000000,301.0,94.0,79,18.0,24.0,8.0,20.0,1254.0,\"Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter..\",9.0,21,True,2022-01-09 21:17:53.000000,0.1.2,18.0,ecco,,,,['pytorch'],4.0,3.0,https://pypi.org/project/ecco,2022-01-09 21:14:50.000000,1.0,560.0,560.0,,,,,,,,3.0,2.0,,,,,,,,,,,,,,,,,,,,\n647,graph4nlp,graph4ai/graph4nlp,,graph,https://github.com/graph4ai/graph4nlp,https://github.com/graph4ai/graph4nlp,Apache-2.0,2020-07-16 03:28:48.000000,2022-01-13 14:53:33.000000,2021-09-27 01:47:06.000000,1742.0,,137,26.0,386.0,5.0,92.0,1153.0,Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website..,22.0,21,True,2021-09-30 16:52:44.000000,0.5.1-alpha,10.0,graph4nlp,,,,['pytorch'],,,https://pypi.org/project/graph4nlp,2021-09-29 15:52:03.000000,,85.0,85.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n648,Skater,oracle/Skater,,interpretability,https://github.com/oracle/Skater,https://github.com/oracle/Skater,UPL-1.0,2017-01-26 05:45:42.000000,2021-11-15 19:51:51.883000,2020-06-29 20:07:12.000000,1101.0,,163,56.0,147.0,69.0,97.0,1012.0,Python Library for Model Interpretation/Explanations.,34.0,21,False,2018-09-21 07:03:32.000000,1.1.2,23.0,skater,conda-forge/skater,,,,,,https://pypi.org/project/skater,2018-09-21 07:03:32.000000,,1776.0,2611.0,https://anaconda.org/conda-forge/skater,2021-11-15 19:51:51.883000,45976.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n649,luminol,linkedin/luminol,,time-series-data,https://github.com/linkedin/luminol,https://github.com/linkedin/luminol,Apache-2.0,2015-11-18 23:16:33.000000,2020-12-27 09:54:35.000000,2018-01-09 07:46:55.000000,69.0,,194,66.0,27.0,31.0,12.0,987.0,Anomaly Detection and Correlation library.,8.0,21,False,2016-01-20 01:01:44.000000,0.3.1,5.0,luminol,,,,,63.0,48.0,https://pypi.org/project/luminol,2017-12-11 06:04:15.000000,15.0,39155.0,39155.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n650,advertorch,BorealisAI/advertorch,,adversarial,https://github.com/BorealisAI/advertorch,https://github.com/BorealisAI/advertorch,GPL-3.0,2018-11-29 22:17:33.000000,2021-12-09 19:16:53.000000,2021-07-30 15:59:28.000000,273.0,,159,31.0,52.0,15.0,33.0,987.0,A Toolbox for Adversarial Robustness Research.,18.0,21,False,2020-06-15 01:20:07.000000,0.2.3,10.0,advertorch,,,,['pytorch'],68.0,64.0,https://pypi.org/project/advertorch,2020-06-15 01:20:07.000000,4.0,446.0,446.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n651,keras-ocr,faustomorales/keras-ocr,,ocr,https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50.000000,2021-11-24 10:16:01.000000,2021-11-24 10:01:11.000000,184.0,2.0,239,39.0,35.0,50.0,106.0,961.0,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,12.0,21,True,2021-11-24 10:05:08.000000,0.8.9,29.0,keras-ocr,,,,['tensorflow'],2.0,,https://pypi.org/project/keras-ocr,2021-11-24 10:05:08.000000,2.0,4344.0,17803.0,,,,,,,,3.0,215348.0,,,,,,,,,,,,,,,,,,,,\n652,geoplotlib,andrea-cuttone/geoplotlib,,geospatial-data,https://github.com/andrea-cuttone/geoplotlib,https://github.com/andrea-cuttone/geoplotlib,MIT,2015-02-24 13:13:07.000000,2021-10-20 12:00:24.000000,2019-05-06 07:06:50.000000,159.0,,155,55.0,13.0,30.0,19.0,949.0,python toolbox for visualizing geographical data and making maps.,8.0,21,False,2016-07-27 14:55:01.000000,0.3.2,4.0,geoplotlib,,,,,138.0,126.0,https://pypi.org/project/geoplotlib,2016-07-27 14:55:01.000000,12.0,1583.0,1583.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n653,Hivemind,learning-at-home/hivemind,,distributed-ml,https://github.com/learning-at-home/hivemind,https://github.com/learning-at-home/hivemind,MIT,2020-02-27 13:50:19.000000,2022-01-13 03:19:15.000000,2022-01-09 12:15:49.000000,478.0,41.0,58,47.0,335.0,42.0,72.0,900.0,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,19.0,21,True,2021-12-20 13:17:34.000000,1.0.0,15.0,hivemind,,,,,5.0,4.0,https://pypi.org/project/hivemind,2021-12-20 12:53:27.000000,1.0,322.0,322.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n654,calamari,Calamari-OCR/calamari,,ocr,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,Apache-2.0,2018-03-20 15:22:29.000000,2021-12-20 13:41:31.000000,2021-12-20 13:41:25.000000,408.0,3.0,185,56.0,69.0,40.0,192.0,893.0,Line based ATR Engine based on OCRopy.,19.0,21,True,2021-10-02 07:50:30.000000,2.1.4,30.0,calamari_ocr,,,,,2.0,,https://pypi.org/project/calamari_ocr,2018-11-13 11:24:45.000000,2.0,553.0,553.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n655,attention-ocr,emedvedev/attention-ocr,,ocr,https://github.com/emedvedev/attention-ocr,https://github.com/emedvedev/attention-ocr,MIT,2017-07-21 18:35:19.000000,2021-10-29 14:44:11.000000,2021-10-29 14:44:08.000000,205.0,9.0,241,47.0,45.0,22.0,126.0,886.0,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,27.0,21,True,2020-10-12 06:56:40.000000,0.7.6,21.0,aocr,,,,['tensorflow'],18.0,18.0,https://pypi.org/project/aocr,2019-04-19 05:28:27.000000,,189.0,189.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n656,mrq,pricingassistant/mrq,,data-pipelines,https://github.com/pricingassistant/mrq,https://github.com/pricingassistant/mrq,MIT,2014-02-13 09:32:40.000000,2021-12-13 19:45:34.000000,2020-12-13 18:58:15.000000,709.0,,113,64.0,64.0,59.0,119.0,859.0,Mr. Queue - A distributed worker task queue in Python using Redis & gevent.,37.0,21,False,2018-08-31 16:03:04.000000,0.9.10,70.0,mrq,,,,,40.0,28.0,https://pypi.org/project/mrq,2018-08-31 16:03:04.000000,12.0,268.0,268.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n657,RLax,deepmind/rlax,,reinforcement-learning,https://github.com/deepmind/rlax,https://github.com/deepmind/rlax,Apache-2.0,2020-02-18 07:14:59.000000,2022-01-12 19:05:23.000000,2022-01-12 19:05:02.000000,145.0,14.0,56,28.0,38.0,9.0,9.0,731.0,A library of reinforcement learning building blocks in JAX.,16.0,21,True,2021-11-19 12:34:30.000000,0.1.1,6.0,rlax,,,,['jax'],32.0,32.0,https://pypi.org/project/rlax,2021-11-19 12:34:30.000000,,1889.0,1889.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n658,mlens,flennerhag/mlens,,others,https://github.com/flennerhag/mlens,https://github.com/flennerhag/mlens,MIT,2017-01-10 20:53:47.000000,2020-02-25 14:32:48.000000,2020-02-25 14:31:53.000000,879.0,,92,28.0,56.0,10.0,74.0,712.0,ML-Ensemble high performance ensemble learning.,7.0,21,False,2018-10-30 22:34:35.000000,0.2.3,14.0,mlens,,,,,178.0,175.0,https://pypi.org/project/mlens,2018-10-30 22:30:43.000000,3.0,2626.0,2626.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n659,NearPy,pixelogik/NearPy,,nn-search,https://github.com/pixelogik/NearPy,https://github.com/pixelogik/NearPy,MIT,2013-04-25 09:10:26.000000,2021-09-26 01:44:54.000000,2018-10-21 17:54:28.000000,159.0,,139,41.0,32.0,24.0,38.0,702.0,\"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..\",18.0,21,False,2016-09-27 13:04:44.000000,1.0.0,8.0,NearPy,,,,,80.0,64.0,https://pypi.org/project/NearPy,2016-09-27 13:03:12.000000,16.0,1178.0,1178.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n660,finetune,IndicoDataSolutions/finetune,,nlp,https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16.000000,2022-01-06 05:15:34.000000,2021-12-20 17:41:00.000000,1483.0,6.0,71,34.0,544.0,22.0,116.0,656.0,Scikit-learn style model finetuning for NLP.,19.0,21,True,2020-01-10 22:42:24.000000,0.8.6,38.0,finetune,,,,\"['tensorflow', 'sklearn']\",11.0,9.0,https://pypi.org/project/finetune,2021-12-20 14:14:00.000000,2.0,208.0,208.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n661,vecstack,vecxoz/vecstack,,others,https://github.com/vecxoz/vecstack,https://github.com/vecxoz/vecstack,MIT,2016-11-08 13:23:21.000000,2020-09-14 08:31:07.000000,2019-10-30 09:27:48.000000,189.0,,74,21.0,12.0,,38.0,642.0,Python package for stacking (machine learning technique).,1.0,21,False,2019-08-12 16:09:01.000000,0.4.0,6.0,vecstack,,,,,181.0,174.0,https://pypi.org/project/vecstack,2019-08-12 16:01:22.000000,7.0,28563.0,28563.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n662,nnAudio,KinWaiCheuk/nnAudio,,audio,https://github.com/KinWaiCheuk/nnAudio,https://github.com/KinWaiCheuk/nnAudio,MIT,2019-09-02 04:31:14.000000,2021-12-24 09:38:22.000000,2021-12-24 09:32:42.000000,281.0,14.0,61,18.0,66.0,11.0,37.0,637.0,Audio processing by using pytorch 1D convolution network.,13.0,21,True,2021-12-24 09:38:22.000000,0.3.1,38.0,nnAudio,,,,,40.0,39.0,https://pypi.org/project/nnAudio,2021-12-24 09:38:22.000000,1.0,846.0,846.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n663,TensorBoard Logger,TeamHG-Memex/tensorboard_logger,,ml-experiments,https://github.com/TeamHG-Memex/tensorboard_logger,https://github.com/TeamHG-Memex/tensorboard_logger,MIT,2016-10-27 14:02:25.000000,2021-11-15 17:46:29.000000,2019-10-21 07:52:07.000000,46.0,,51,29.0,11.0,11.0,15.0,619.0,Log TensorBoard events without touching TensorFlow.,5.0,21,False,2018-02-08 07:28:51.000000,0.1.0,5.0,tensorboard_logger,,,,,51.0,,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51.000000,51.0,42581.0,42581.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n664,iterative-stratification,trent-b/iterative-stratification,,sklearn-utils,https://github.com/trent-b/iterative-stratification,https://github.com/trent-b/iterative-stratification,BSD-3-Clause,2018-02-04 00:32:10.000000,2021-11-11 01:20:14.000000,2021-11-11 01:20:14.000000,55.0,2.0,57,7.0,4.0,4.0,15.0,618.0,scikit-learn cross validators for iterative stratification of multilabel data.,6.0,21,True,2021-10-03 18:49:49.000000,0.1.7,6.0,iterative-stratification,,,,['sklearn'],189.0,181.0,https://pypi.org/project/iterative-stratification,2021-10-03 18:49:49.000000,8.0,88615.0,88615.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n665,Torchbearer,pytorchbearer/torchbearer,,ml-frameworks,https://github.com/pytorchbearer/torchbearer,https://github.com/pytorchbearer/torchbearer,MIT,2018-03-12 16:30:42.000000,2021-03-26 19:56:57.000000,2021-03-26 19:56:57.000000,430.0,,68,29.0,422.0,8.0,237.0,616.0,torchbearer: A model fitting library for PyTorch.,13.0,21,True,2020-01-31 14:07:22.000000,0.5.3,24.0,torchbearer,,,,['pytorch'],60.0,56.0,https://pypi.org/project/torchbearer,2020-01-31 14:05:56.000000,4.0,659.0,659.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n666,combo,yzhao062/combo,,sklearn-utils,https://github.com/yzhao062/combo,https://github.com/yzhao062/combo,BSD-2-Clause,2019-07-14 01:13:36.000000,2021-10-02 13:57:54.000000,2021-10-02 13:57:52.000000,207.0,,95,27.0,1.0,9.0,3.0,564.0,(AAAI 20) A Python Toolbox for Machine Learning Model Combination.,1.0,21,True,2020-12-23 02:21:49.000000,0.1.2,12.0,combo,,,,\"['sklearn', 'xgboost']\",437.0,436.0,https://pypi.org/project/combo,2020-12-23 02:21:49.000000,1.0,52696.0,52696.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n667,Submit it,facebookincubator/submitit,,distributed-ml,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09.000000,2021-12-09 11:50:36.000000,2021-12-09 11:50:36.000000,100.0,6.0,49,22.0,62.0,25.0,32.0,523.0,Python 3.6+ toolbox for submitting jobs to Slurm.,17.0,21,True,2021-11-30 13:57:53.000000,1.4.1,15.0,submitit,conda-forge/submitit,,,,6.0,,https://pypi.org/project/submitit,2021-11-30 13:57:53.000000,6.0,11154.0,11456.0,https://anaconda.org/conda-forge/submitit,2021-02-10 12:48:57.745000,5146.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n668,pytorch_tabular,manujosephv/pytorch_tabular,,tabular,https://github.com/manujosephv/pytorch_tabular,https://github.com/manujosephv/pytorch_tabular,MIT,2020-12-15 07:17:03.000000,2022-01-03 13:40:48.000000,2022-01-03 13:40:48.000000,241.0,50.0,47,7.0,10.0,16.0,32.0,513.0,A standard framework for modelling Deep Learning Models for tabular data.,8.0,21,True,2021-09-01 11:51:30.000000,0.7.0,8.0,pytorch_tabular,,,,['pytorch'],,,https://pypi.org/project/pytorch_tabular,2021-09-01 11:51:30.000000,,1428.0,1428.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n669,Poutyne,GRAAL-Research/poutyne,,pytorch-utils,https://github.com/GRAAL-Research/poutyne,https://github.com/GRAAL-Research/poutyne,LGPL-3.0,2017-12-07 18:30:17.000000,2022-01-12 17:45:33.000000,2021-12-28 17:45:26.000000,626.0,16.0,58,17.0,79.0,7.0,38.0,508.0,A simplified framework and utilities for PyTorch.,16.0,21,False,2021-12-17 18:16:02.000000,1.8,25.0,poutyne,,,,['pytorch'],80.0,76.0,https://pypi.org/project/poutyne,2021-12-17 18:16:24.000000,4.0,3261.0,3261.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n670,PyWaffle,gyli/PyWaffle,,data-viz,https://github.com/gyli/PyWaffle,https://github.com/gyli/PyWaffle,MIT,2017-11-14 20:03:47.000000,2021-12-21 16:13:13.000000,2021-12-21 16:13:08.000000,262.0,8.0,80,10.0,10.0,3.0,12.0,463.0,Make Waffle Charts in Python.,6.0,21,True,2021-12-21 16:10:13.000000,0.6.4,25.0,pywaffle,,,,,107.0,106.0,https://pypi.org/project/pywaffle,2021-12-21 16:10:13.000000,1.0,2421.0,2421.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n671,imodels,csinva/imodels,,interpretability,https://github.com/csinva/imodels,https://github.com/csinva/imodels,MIT,2019-07-04 15:38:48.000000,2022-01-11 05:45:28.000000,2022-01-09 23:36:47.000000,507.0,98.0,43,15.0,59.0,4.0,14.0,426.0,\"Interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible).\",7.0,21,True,2021-12-07 19:56:28.000000,1.2.1,17.0,imodels,,,,,10.0,10.0,https://pypi.org/project/imodels,2021-12-07 19:56:28.000000,,643.0,643.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n672,MedPy,loli/medpy,,medical-data,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34.000000,2020-05-01 15:25:39.000000,2020-05-01 15:25:38.000000,324.0,,116,19.0,25.0,12.0,67.0,384.0,Medical image processing in Python.,13.0,21,False,2019-02-14 17:12:59.000000,0.4.0,6.0,MedPy,,,,,503.0,467.0,https://pypi.org/project/MedPy,2019-02-14 17:12:59.000000,36.0,23809.0,23809.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n673,Pandas Summary,mouradmourafiq/pandas-summary,,data-containers,https://github.com/polyaxon/datatile,https://github.com/polyaxon/datatile,Apache-2.0,2016-03-25 21:59:32.000000,2022-01-06 23:37:28.000000,2022-01-06 23:37:20.000000,29.0,5.0,37,9.0,8.0,7.0,7.0,376.0,\"A library for managing, validating, summarizing, and visualizing data.\",8.0,21,True,2021-11-25 22:52:42.000000,0.2.0,10.0,pandas-summary,,,,['pandas'],60.0,3.0,https://pypi.org/project/pandas-summary,2021-11-25 22:52:42.000000,57.0,38222.0,38222.0,,,,,,,,3.0,,,,,,,,,,polyaxon/datatile,,,,,,,,,,,\n674,impyute,eltonlaw/impyute,,others,https://github.com/eltonlaw/impyute,https://github.com/eltonlaw/impyute,MIT,2017-01-21 09:16:27.000000,2021-11-06 21:15:04.000000,2021-11-06 21:15:04.000000,292.0,3.0,43,8.0,37.0,27.0,37.0,303.0,Data imputations library to preprocess datasets with missing data.,11.0,21,True,2019-04-29 02:31:32.000000,0.0.8,8.0,impyute,,,,,126.0,123.0,https://pypi.org/project/impyute,2019-04-29 02:31:32.000000,3.0,1602.0,1602.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n675,Brainiak,brainiak/brainiak,,medical-data,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27.000000,2021-12-03 01:07:31.000000,2021-05-28 01:21:58.000000,393.0,,123,33.0,316.0,72.0,123.0,261.0,Brain Imaging Analysis Kit.,33.0,21,False,2019-08-27 23:52:29.000000,0.9.1,15.0,brainiak,,brainiak/brainiak,,,16.0,15.0,https://pypi.org/project/brainiak,2020-10-15 20:45:08.000000,1.0,161.0,170.0,,,,https://hub.docker.com/r/brainiak/brainiak,2020-10-15 21:11:03.379549,1.0,688.0,3.0,,,,,,,,,,,,,,,,,,,,,\n676,gokart,m3dev/gokart,,ml-experiments,https://github.com/m3dev/gokart,https://github.com/m3dev/gokart,MIT,2018-12-23 07:40:27.000000,2022-01-06 08:22:59.000000,2021-12-30 23:00:12.000000,450.0,6.0,39,21.0,201.0,14.0,51.0,229.0,\"Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning..\",29.0,21,False,2021-10-15 10:18:50.000000,1.0.6,61.0,gokart,,,,,4.0,,https://pypi.org/project/gokart,2020-02-25 06:01:19.000000,4.0,757.0,757.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n677,scikit-posthocs,maximtrp/scikit-posthocs,,probabilistics,https://github.com/maximtrp/scikit-posthocs,https://github.com/maximtrp/scikit-posthocs,MIT,2017-06-22 19:41:37.000000,2021-11-26 21:39:34.000000,2021-11-26 21:39:28.000000,466.0,3.0,23,5.0,7.0,4.0,39.0,225.0,Multiple Pairwise Comparisons (Post Hoc) Tests in Python.,8.0,21,False,2021-03-17 06:05:28.000000,0.6.7,21.0,scikit-posthocs,,,,['sklearn'],19.0,,https://pypi.org/project/scikit-posthocs,2021-03-15 16:05:51.000000,19.0,26033.0,26033.0,,,,,,,,3.0,25.0,,,,,,,,,,,,,,,,,,,,\n678,lkpy,lenskit/lkpy,,recommender-systems,https://github.com/lenskit/lkpy,https://github.com/lenskit/lkpy,MIT,2018-06-08 21:05:10.000000,2021-12-21 22:16:59.000000,2021-12-15 19:02:02.000000,2275.0,131.0,50,8.0,198.0,27.0,63.0,187.0,Python recommendation toolkit.,13.0,21,False,2021-06-22 17:06:47.000000,0.13.1,20.0,lenskit,conda-forge/lenskit,,,,1.0,,https://pypi.org/project/lenskit,2021-06-22 17:07:09.000000,1.0,1123.0,1682.0,https://anaconda.org/conda-forge/lenskit,2021-11-12 01:30:50.433000,7837.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n679,Glow,projectglow/glow,,medical-data,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47.000000,2022-01-07 16:07:49.000000,2022-01-07 16:07:49.000000,369.0,27.0,55,18.0,347.0,47.0,77.0,185.0,An open-source toolkit for large-scale genomic analysis.,18.0,21,False,2021-12-02 00:37:53.000000,1.1.2,14.0,glow.py,,,,,,,https://pypi.org/project/glow.py,2021-12-15 00:00:29.000000,,28673.0,28673.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n680,graph-nets,deepmind/graph_nets,,graph,https://github.com/deepmind/graph_nets,https://github.com/deepmind/graph_nets,Apache-2.0,2018-08-31 08:19:28.000000,2020-12-04 17:43:48.000000,2020-12-04 17:43:47.000000,47.0,,764,218.0,24.0,7.0,120.0,5057.0,Build Graph Nets in Tensorflow.,10.0,20,False,2020-01-29 16:00:25.000000,1.1.0,7.0,graph-nets,,,,['tensorflow'],7.0,,https://pypi.org/project/graph-nets,2020-01-29 16:00:25.000000,7.0,733.0,733.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n681,ReAgent,facebookresearch/ReAgent,,reinforcement-learning,https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000000,2021-12-29 05:57:46.000000,2021-12-29 05:57:22.000000,1390.0,51.0,426,146.0,495.0,41.0,75.0,3096.0,\"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).\",122.0,20,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n682,AdaBound,Luolc/AdaBound,,pytorch-utils,https://github.com/Luolc/AdaBound,https://github.com/Luolc/AdaBound,Apache-2.0,2019-02-15 18:05:20.000000,2019-03-06 17:01:52.000000,2019-03-06 17:01:45.000000,27.0,,327,78.0,1.0,17.0,7.0,2883.0,An optimizer that trains as fast as Adam and as good as SGD.,2.0,20,False,2019-03-06 16:44:42.000000,0.0.5,4.0,adabound,,,,['pytorch'],133.0,126.0,https://pypi.org/project/adabound,2019-02-26 04:23:45.000000,7.0,1253.0,1253.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n683,finmarketpy,cuemacro/finmarketpy,,financial-data,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03.000000,2021-10-07 14:58:03.000000,2021-10-07 14:55:28.000000,678.0,,448,216.0,16.0,23.0,3.0,2836.0,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,14.0,20,True,2021-10-07 14:58:03.000000,0.11.11,12.0,finmarketpy,,,,,4.0,4.0,https://pypi.org/project/finmarketpy,2021-10-07 14:58:03.000000,,112.0,112.0,,,,,,,,3.0,40.0,,,,,,,,,,,,,,,,,,,,\n684,image-match,ProvenanceLabs/image-match,,image,https://github.com/ProvenanceLabs/image-match,https://github.com/ProvenanceLabs/image-match,Apache-2.0,2016-03-08 18:16:45.000000,2021-09-21 13:07:59.000000,2021-09-21 13:07:59.000000,405.0,,380,101.0,53.0,56.0,48.0,2673.0,Quickly search over billions of images.,19.0,20,True,2017-02-13 14:54:48.000000,1.1.2,10.0,image_match,,,,,4.0,,https://pypi.org/project/image_match,2017-02-13 14:54:48.000000,4.0,777.0,777.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n685,opyrator,ml-tooling/opyrator,,others,https://github.com/ml-tooling/opyrator,https://github.com/ml-tooling/opyrator,MIT,2021-04-06 08:09:06.000000,2022-01-13 03:50:14.000000,2021-05-06 12:10:38.000000,127.0,,111,44.0,21.0,2.0,22.0,2542.0,\"Turns your machine learning code into microservices with web API, interactive GUI, and more.\",4.0,20,True,2021-05-04 18:48:03.000000,0.0.12,11.0,opyrator,,,,,31.0,31.0,https://pypi.org/project/opyrator,2021-05-04 18:48:03.000000,,267.0,267.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n686,Apache Singa,apache/singa,,distributed-ml,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000000,2021-12-02 04:35:29.000000,2021-08-10 09:12:48.000000,2360.0,,715,122.0,849.0,40.0,49.0,2445.0,a distributed deep learning platform.,76.0,20,True,2020-04-21 08:01:08.000000,3.0.0,16.0,,nusdbsystem/singa,apache/singa,,,1.0,1.0,,,,,9.0,https://anaconda.org/nusdbsystem/singa,2021-08-09 13:10:26.397000,413.0,https://hub.docker.com/r/apache/singa,2019-06-04 04:32:52.195956,4.0,210.0,3.0,,,,,,,,,,,,,,,,,,,,,\n687,Backtesting.py,kernc/backtesting.py,,financial-data,https://github.com/kernc/backtesting.py,https://github.com/kernc/backtesting.py,AGPL-3.0,2019-01-02 03:11:32.000000,2021-12-18 23:13:25.000000,2021-12-18 23:12:51.000000,250.0,5.0,423,82.0,54.0,47.0,228.0,2049.0,Backtest trading strategies in Python.,15.0,20,False,2017-07-22 02:00:06.000000,0.0.1,1.0,backtesting,,,,,2.0,,https://pypi.org/project/backtesting,2017-07-22 02:00:06.000000,2.0,7860.0,7860.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n688,riko,nerevu/riko,,data-pipelines,https://github.com/nerevu/riko,https://github.com/nerevu/riko,MIT,2016-06-02 12:22:51.000000,2021-12-28 23:04:04.000000,2021-12-28 23:01:31.000000,1269.0,8.0,75,53.0,23.0,22.0,8.0,1579.0,A Python stream processing engine modeled after Yahoo! Pipes.,18.0,20,True,2021-12-28 23:04:04.000000,0.67.0,59.0,riko,,,,,1.0,,https://pypi.org/project/riko,2021-12-28 23:04:04.000000,1.0,221.0,221.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n689,greykite,linkedin/greykite,,time-series-data,https://github.com/linkedin/greykite,https://github.com/linkedin/greykite,BSD-2-Clause,2021-04-27 17:05:53.000000,2021-12-22 19:04:12.000000,2021-12-15 21:44:21.000000,18.0,4.0,63,35.0,12.0,7.0,50.0,1439.0,\"A flexible, intuitive and fast forecasting library.\",7.0,20,True,2021-12-22 19:04:12.000000,0.1.1,7.0,greykite,,,,,8.0,8.0,https://pypi.org/project/greykite,2021-12-15 01:42:19.000000,,6884.0,6884.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n690,Norfair,tryolabs/norfair,,image,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000000,2022-01-13 04:21:43.000000,2021-10-01 22:03:26.000000,283.0,,97,32.0,35.0,9.0,31.0,1196.0,Lightweight Python library for adding real-time object tracking to any detector.,9.0,20,True,2021-07-29 15:49:06.000000,0.3.1,12.0,norfair,,,,,1.0,,https://pypi.org/project/norfair,2021-07-29 15:49:06.000000,1.0,3046.0,3046.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n691,DIG,divelab/DIG,,graph,https://github.com/divelab/DIG,https://github.com/divelab/DIG,GPL-3.0,2020-10-30 03:51:15.000000,2022-01-03 20:34:53.000000,2022-01-03 20:34:44.000000,848.0,9.0,133,25.0,8.0,7.0,64.0,1004.0,A library for graph deep learning research.,30.0,20,False,2021-10-13 00:38:18.000000,0.1.2,10.0,dig,,,,,8.0,,https://pypi.org/project/dig,2015-08-23 10:30:20.000000,8.0,396.0,396.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n692,TensorNets,taehoonlee/tensornets,,tensorflow-utils,https://github.com/taehoonlee/tensornets,https://github.com/taehoonlee/tensornets,MIT,2017-09-19 05:19:01.000000,2021-01-02 06:28:10.000000,2021-01-02 06:26:24.000000,284.0,,186,52.0,12.0,16.0,42.0,1000.0,High level network definitions with pre-trained weights in TensorFlow.,6.0,20,True,2020-03-31 04:38:27.000000,0.4.6,12.0,tensornets,,,,['tensorflow'],46.0,42.0,https://pypi.org/project/tensornets,2020-03-31 04:35:15.000000,4.0,76.0,76.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n693,iNNvestigate,albermax/innvestigate,,interpretability,https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20.000000,2022-01-13 04:21:40.000000,2021-08-03 15:45:16.000000,943.0,,202,41.0,46.0,71.0,163.0,935.0,A toolbox to iNNvestigate neural networks predictions!.,19.0,20,True,2020-11-14 11:35:59.000000,1.0.9,2.0,innvestigate,,,,['tensorflow'],1.0,,https://pypi.org/project/innvestigate,2020-11-14 11:35:59.000000,1.0,371.0,371.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n694,tffm,geffy/tffm,,tensorflow-utils,https://github.com/geffy/tffm,https://github.com/geffy/tffm,MIT,2016-05-02 17:06:07.000000,2020-05-22 21:40:58.000000,2020-05-22 21:40:57.000000,106.0,,180,35.0,15.0,17.0,22.0,774.0,TensorFlow implementation of an arbitrary order Factorization Machine.,10.0,20,False,2018-01-27 11:43:26.000000,1.0.1,2.0,tffm,,,,['tensorflow'],12.0,11.0,https://pypi.org/project/tffm,2018-01-27 11:43:26.000000,1.0,2133.0,2133.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n695,PFRL,pfnet/pfrl,,reinforcement-learning,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50.000000,2021-12-19 23:44:41.000000,2021-12-06 07:44:27.000000,388.0,2.0,101,97.0,106.0,27.0,33.0,771.0,PFRL: a PyTorch-based deep reinforcement learning library.,15.0,20,True,2021-07-07 02:43:23.000000,0.3.0,5.0,pfrl,,,,,31.0,30.0,https://pypi.org/project/pfrl,2021-07-07 02:48:20.000000,1.0,4355.0,4355.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n696,TensorFrames,databricks/tensorframes,,distributed-ml,https://github.com/databricks/tensorframes,https://github.com/databricks/tensorframes,Apache-2.0,2016-03-04 19:25:19.000000,2021-08-25 14:58:55.000000,2019-11-15 21:43:53.000000,221.0,,157,72.0,93.0,51.0,43.0,761.0,[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark.,16.0,20,False,2018-11-16 20:50:02.000000,0.6.0,6.0,tensorframes,,,,\"['tensorflow', 'spark']\",1.0,,https://pypi.org/project/tensorframes,2018-05-16 14:20:28.000000,1.0,19967.0,19967.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n697,Test Tube,williamFalcon/test-tube,,hyperopt,https://github.com/williamFalcon/test-tube,https://github.com/williamFalcon/test-tube,MIT,2017-09-06 02:14:57.000000,2021-10-14 18:44:27.000000,2020-03-17 22:44:47.000000,642.0,,64,21.0,36.0,25.0,21.0,706.0,Python library to easily log experiments and parallelize hyperparameter search for neural networks.,16.0,20,False,2019-12-01 01:19:36.000000,0.7.5,53.0,test_tube,,,,,5.0,,https://pypi.org/project/test_tube,2018-12-12 22:45:59.000000,5.0,12020.0,12020.0,,,,,,,,3.0,10.0,,,,,,,,,,,,,,,,,,,,\n698,deeplift,kundajelab/deeplift,,interpretability,https://github.com/kundajelab/deeplift,https://github.com/kundajelab/deeplift,MIT,2016-06-01 02:18:06.000000,2021-11-11 17:50:26.000000,2021-11-11 17:50:26.000000,553.0,2.0,134,37.0,45.0,34.0,48.0,601.0,Public facing deeplift repo.,11.0,20,True,2018-07-13 21:11:52.000000,0.6.6,21.0,deeplift,,,,,57.0,53.0,https://pypi.org/project/deeplift,2020-11-11 09:32:57.000000,4.0,404.0,404.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n699,Baal,ElementAI/baal,,probabilistics,https://github.com/ElementAI/baal,https://github.com/ElementAI/baal,Apache-2.0,2019-09-30 20:16:26.000000,2022-01-10 03:19:15.000000,2022-01-10 03:19:15.000000,154.0,16.0,49,21.0,108.0,18.0,45.0,525.0,Library to enable Bayesian active learning in your research or labeling work.,11.0,20,True,2021-12-17 20:29:34.000000,1.5.1,13.0,baal,,,,,1.0,,https://pypi.org/project/baal,2021-12-17 20:28:12.000000,1.0,557.0,557.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n700,pyhsmm,mattjj/pyhsmm,,probabilistics,https://github.com/mattjj/pyhsmm,https://github.com/mattjj/pyhsmm,MIT,2012-03-18 17:40:13.000000,2020-09-29 20:58:26.000000,2020-08-24 17:03:59.000000,1426.0,,159,55.0,18.0,39.0,60.0,503.0,Bayesian inference in HSMMs and HMMs.,13.0,20,False,2017-05-10 17:14:37.000000,0.1.7,8.0,pyhsmm,,,,,29.0,24.0,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37.000000,5.0,147.0,147.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n701,torch-cluster,rusty1s/pytorch_cluster,,graph,https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06.000000,2021-12-28 16:58:21.000000,2021-12-28 16:56:52.000000,564.0,8.0,88,9.0,26.0,9.0,84.0,461.0,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,19.0,20,True,2021-03-01 13:58:47.000000,1.5.9,39.0,torch-cluster,,,,['pytorch'],26.0,,https://pypi.org/project/torch-cluster,2021-03-01 12:28:43.000000,26.0,7724.0,7724.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n702,aequitas,dssg/aequitas,,interpretability,https://github.com/dssg/aequitas,https://github.com/dssg/aequitas,MIT,2018-02-13 19:40:30.000000,2021-07-13 10:19:56.000000,2021-05-27 09:45:10.000000,857.0,,85,42.0,56.0,37.0,21.0,449.0,Bias and Fairness Audit Toolkit.,16.0,20,True,2020-12-16 11:48:14.000000,0.42.0,16.0,aequitas,,,,,93.0,87.0,https://pypi.org/project/aequitas,2020-12-16 11:48:14.000000,6.0,738.0,738.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n703,skope-rules,scikit-learn-contrib/skope-rules,,sklearn-utils,https://github.com/scikit-learn-contrib/skope-rules,https://github.com/scikit-learn-contrib/skope-rules,BSD-1-Clause,2018-02-18 13:42:47.000000,2021-05-12 08:25:18.000000,2020-10-23 14:31:57.000000,247.0,,68,24.0,29.0,23.0,5.0,426.0,machine learning with logical rules in Python.,18.0,20,False,2020-12-11 09:37:02.000000,1.0.1,4.0,skope-rules,,,,['sklearn'],68.0,63.0,https://pypi.org/project/skope-rules,2020-01-25 12:01:37.000000,5.0,59428.0,59428.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n704,pydlm,wwrechard/pydlm,,time-series-data,https://github.com/wwrechard/pydlm,https://github.com/wwrechard/pydlm,BSD-3-Clause,2016-06-29 07:58:53.000000,2021-02-24 14:21:28.000000,2019-10-22 07:18:40.000000,362.0,,87,28.0,11.0,35.0,8.0,404.0,A python library for Bayesian time series modeling.,6.0,20,False,2016-11-06 01:43:35.000000,0.1.1,13.0,pydlm,,,,,27.0,25.0,https://pypi.org/project/pydlm,2018-12-19 10:27:54.000000,2.0,20544.0,20544.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n705,tick,X-DataInitiative/tick,,time-series-data,https://github.com/X-DataInitiative/tick,https://github.com/X-DataInitiative/tick,BSD-3-Clause,2016-12-01 10:59:08.000000,2020-08-11 12:36:43.000000,2020-06-15 12:01:36.000000,413.0,,84,36.0,262.0,55.0,164.0,367.0,\"Module for statistical learning, with a particular emphasis on time-dependent modelling.\",16.0,20,False,2019-09-11 11:25:15.000000,0.6,23.0,tick,,,,,47.0,46.0,https://pypi.org/project/tick,2020-05-24 22:01:17.000000,1.0,833.0,836.0,,,,,,,,3.0,194.0,,,,,,,,,,,,,,,,,,,,\n706,TSFEL,fraunhoferportugal/tsfel,,time-series-data,https://github.com/fraunhoferportugal/tsfel,https://github.com/fraunhoferportugal/tsfel,BSD-3-Clause,2019-01-09 16:41:30.000000,2021-12-23 11:44:20.000000,2021-12-23 11:44:19.000000,277.0,4.0,49,17.0,59.0,5.0,43.0,358.0,An intuitive library to extract features from time series.,13.0,20,True,2021-02-14 17:48:46.000000,0.1.4,8.0,tsfel,,,,,25.0,25.0,https://pypi.org/project/tsfel,2021-02-14 17:40:32.000000,,3257.0,3257.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n707,scikit-rebate,EpistasisLab/scikit-rebate,,others,https://github.com/EpistasisLab/scikit-rebate,https://github.com/EpistasisLab/scikit-rebate,MIT,2016-09-19 13:36:17.000000,2021-12-29 00:49:30.000000,2021-02-15 17:10:59.000000,283.0,,62,22.0,47.0,13.0,19.0,341.0,\"A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for..\",13.0,20,True,2017-04-12 16:12:01.000000,0.3.4,13.0,skrebate,,,,['sklearn'],40.0,,https://pypi.org/project/skrebate,2021-03-20 17:11:52.000000,40.0,3778.0,3778.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n708,MXBoard,awslabs/mxboard,,ml-experiments,https://github.com/awslabs/mxboard,https://github.com/awslabs/mxboard,Apache-2.0,2018-02-06 23:03:51.000000,2021-11-30 10:46:24.000000,2020-01-24 23:21:55.000000,42.0,,46,25.0,19.0,16.0,15.0,331.0,Logging MXNet data for visualization in TensorBoard.,9.0,20,False,2018-05-22 20:25:51.000000,0.1.0,12.0,mxboard,,,,['mxnet'],134.0,127.0,https://pypi.org/project/mxboard,2018-05-22 20:25:51.000000,7.0,3900.0,3900.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n709,Auto ViML,AutoViML/Auto_ViML,,hyperopt,https://github.com/AutoViML/Auto_ViML,https://github.com/AutoViML/Auto_ViML,Apache-2.0,2019-06-10 13:09:15.000000,2021-12-06 01:40:00.000000,2021-12-06 01:38:51.000000,293.0,1.0,70,22.0,5.0,4.0,14.0,324.0,Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome...,6.0,20,True,2021-12-06 01:40:00.000000,0.1.684,133.0,autoviml,,,,,17.0,15.0,https://pypi.org/project/autoviml,2021-12-06 01:40:00.000000,2.0,1453.0,1453.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n710,sklearn-evaluation,edublancas/sklearn-evaluation,,interpretability,https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2015-09-04 16:33:42.000000,2021-10-17 18:15:40.000000,2021-10-17 18:09:37.000000,533.0,10.0,28,13.0,3.0,8.0,29.0,320.0,\"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook..\",6.0,20,True,2021-10-17 18:15:40.000000,0.5.7,19.0,sklearn-evaluation,,,,['sklearn'],40.0,38.0,https://pypi.org/project/sklearn-evaluation,2021-10-17 18:15:40.000000,2.0,669.0,669.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n711,SUOD,yzhao062/SUOD,,others,https://github.com/yzhao062/SUOD,https://github.com/yzhao062/SUOD,BSD-2-Clause,2019-11-20 00:23:54.000000,2022-01-06 18:50:48.000000,2021-10-02 14:00:01.000000,144.0,,39,14.0,1.0,6.0,2.0,303.0,(MLSys 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection).,1.0,20,True,2021-10-01 18:05:35.000000,0.0.8,9.0,suod,,,,,404.0,404.0,https://pypi.org/project/suod,2021-10-01 18:05:35.000000,,39403.0,39403.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n712,chefboost,serengil/chefboost,,ml-frameworks,https://github.com/serengil/chefboost,https://github.com/serengil/chefboost,MIT,2019-03-06 12:26:27.000000,2022-01-12 10:42:56.000000,2022-01-12 10:42:56.000000,343.0,26.0,78,14.0,2.0,2.0,15.0,296.0,\"A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some..\",5.0,20,False,2022-01-12 10:40:48.000000,0.0.16,16.0,chefboost,,,,,17.0,17.0,https://pypi.org/project/chefboost,2022-01-12 10:40:48.000000,,592.0,592.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n713,textpipe,textpipe/textpipe,,nlp,https://github.com/textpipe/textpipe,https://github.com/textpipe/textpipe,MIT,2018-06-21 16:23:32.000000,2021-06-09 11:55:53.000000,2021-06-09 11:55:53.000000,371.0,,23,23.0,239.0,24.0,25.0,293.0,Textpipe: clean and extract metadata from text.,28.0,20,False,2021-01-25 14:05:21.000000,0.12.2,39.0,textpipe,,,,,9.0,8.0,https://pypi.org/project/textpipe,2021-01-25 14:05:21.000000,1.0,1661.0,1661.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n714,launchpad,deepmind/launchpad,,distributed-ml,https://github.com/deepmind/launchpad,https://github.com/deepmind/launchpad,Apache-2.0,2021-02-18 15:16:49.000000,2022-01-12 10:14:40.000000,2022-01-12 10:14:07.000000,216.0,69.0,17,18.0,2.0,,18.0,250.0,Launchpad is a library that simplifies writing distributed programs and seamlessly launching them on a range of..,13.0,20,False,2022-01-06 12:29:48.000000,0.4.1,7.0,dm-launchpad,,,,['tensorflow'],5.0,5.0,https://pypi.org/project/dm-launchpad,2022-01-06 12:29:48.000000,,1440.0,1440.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n715,somoclu,peterwittek/somoclu,,distributed-ml,https://github.com/peterwittek/somoclu,https://github.com/peterwittek/somoclu,MIT,2013-01-16 06:33:16.000000,2021-11-15 19:51:57.895000,2021-10-31 08:28:12.000000,619.0,1.0,61,26.0,29.0,26.0,107.0,231.0,\"Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters.\",19.0,20,False,2021-10-31 08:33:47.000000,1.7.6,17.0,somoclu,conda-forge/somoclu,,,,7.0,,https://pypi.org/project/somoclu,2020-04-25 05:33:32.000000,7.0,1211.0,2314.0,https://anaconda.org/conda-forge/somoclu,2021-11-15 19:51:57.895000,57511.0,,,,,3.0,1556.0,,,,,,,,,,,,,,,,,,,,\n716,pyfasttext,vrasneur/pyfasttext,,nlp,https://github.com/vrasneur/pyfasttext,https://github.com/vrasneur/pyfasttext,GPL-3.0,2017-06-30 18:44:42.000000,2018-12-08 15:32:09.000000,2018-12-08 15:02:12.000000,153.0,,30,9.0,4.0,21.0,28.0,230.0,Yet another Python binding for fastText.,4.0,20,False,2018-12-08 15:32:09.000000,0.4.6,13.0,pyfasttext,,,,,215.0,202.0,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09.000000,13.0,4151.0,4157.0,,,,,,,,3.0,346.0,,,,,,,,,,,,,,,,,,,,\n717,Funsor,pyro-ppl/funsor,,probabilistics,https://github.com/pyro-ppl/funsor,https://github.com/pyro-ppl/funsor,Apache-2.0,2019-01-30 23:13:39.000000,2021-12-13 22:27:14.000000,2021-12-13 22:24:28.000000,561.0,7.0,15,16.0,444.0,83.0,73.0,187.0,Functional tensors for probabilistic programming.,9.0,20,False,2021-12-13 22:52:43.000000,0.4.2,8.0,funsor,,,,['pytorch'],23.0,21.0,https://pypi.org/project/funsor,2021-12-13 22:27:14.000000,2.0,1103.0,1103.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n718,Larq Compute Engine,larq/compute-engine,,model-serialisation,https://github.com/larq/compute-engine,https://github.com/larq/compute-engine,Apache-2.0,2019-08-29 15:02:43.000000,2022-01-13 08:43:32.000000,2022-01-13 08:43:31.000000,510.0,12.0,28,20.0,559.0,21.0,117.0,178.0,Highly optimized inference engine for Binarized Neural Networks.,18.0,20,False,2021-09-08 21:44:17.000000,0.6.2,15.0,larq-compute-engine,,,,,4.0,4.0,https://pypi.org/project/larq-compute-engine,2021-09-08 21:44:17.000000,,402.0,416.0,,,,,,,,3.0,340.0,,,,,,,,,,,,,,,,,,,,\n719,BatchFlow,analysiscenter/batchflow,,data-pipelines,https://github.com/analysiscenter/batchflow,https://github.com/analysiscenter/batchflow,Apache-2.0,2017-03-13 14:22:53.000000,2022-01-13 14:04:04.000000,2022-01-11 21:18:25.000000,4920.0,64.0,38,12.0,533.0,40.0,67.0,169.0,BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and..,30.0,20,False,2021-06-10 10:54:52.000000,0.5.0,7.0,batchflow,,,,,,,https://pypi.org/project/batchflow,2021-06-10 10:54:52.000000,,41.0,41.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n720,nvidia-ml-py3,nicolargo/nvidia-ml-py3,,gpu-utilities,https://github.com/nicolargo/nvidia-ml-py3,https://github.com/nicolargo/nvidia-ml-py3,BSD-3-Clause,2017-06-03 07:47:03.000000,2019-03-06 20:41:10.000000,2019-03-06 20:41:09.000000,5.0,,49,3.0,1.0,2.0,,72.0,Python 3 Bindings for the NVIDIA Management Library.,2.0,20,False,2017-06-03 07:43:46.000000,7.352.0,1.0,nvidia-ml-py3,,,,,4876.0,4743.0,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46.000000,133.0,775520.0,775520.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n721,DeepMind Lab,deepmind/lab,,reinforcement-learning,https://github.com/deepmind/lab,https://github.com/deepmind/lab,GPL-2.0,2016-11-30 13:41:26.000000,2022-01-05 14:39:38.000000,2022-01-05 13:45:51.000000,493.0,4.0,1323,477.0,18.0,51.0,160.0,6616.0,A customisable 3D platform for agent-based AI research.,7.0,19,False,2020-12-07 11:26:33.000000,release-2020-12-07,8.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n722,tinygrad,geohot/tinygrad,,pytorch-utils,https://github.com/geohot/tinygrad,https://github.com/geohot/tinygrad,MIT,2020-10-18 16:23:12.000000,2022-01-06 15:35:48.000000,2022-01-06 15:35:48.000000,645.0,83.0,568,120.0,204.0,21.0,85.0,5143.0,You like pytorch? You like micrograd? You love tinygrad!.,52.0,19,True,,,,,,,,['pytorch'],1.0,1.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n723,BytePS,bytedance/byteps,,distributed-ml,https://github.com/bytedance/byteps,https://github.com/bytedance/byteps,Apache-2.0,2019-06-25 07:00:13.000000,2022-01-12 23:06:04.000000,2022-01-12 23:05:54.000000,429.0,2.0,430,81.0,173.0,100.0,156.0,3045.0,A high performance and generic framework for distributed DNN training.,19.0,19,True,2020-08-27 15:42:13.000000,0.2.4,8.0,byteps,,bytepsimage/tensorflow,,,,,https://pypi.org/project/byteps,2021-08-02 17:37:42.000000,,63.0,102.0,,,,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,1227.0,3.0,,,,,,,,,,,,,,,,,,,,,\n724,pdftabextract,WZBSocialScienceCenter/pdftabextract,,ocr,https://github.com/WZBSocialScienceCenter/pdftabextract,https://github.com/WZBSocialScienceCenter/pdftabextract,Apache-2.0,2016-07-08 11:44:46.000000,2020-12-28 00:52:23.000000,2018-10-26 13:57:02.000000,168.0,,339,89.0,3.0,3.0,18.0,1968.0,A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.,2.0,19,False,2018-01-09 08:00:24.000000,0.3.0,5.0,pdftabextract,,,,,39.0,38.0,https://pypi.org/project/pdftabextract,2018-01-09 08:00:24.000000,1.0,583.0,583.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n725,spark-deep-learning,databricks/spark-deep-learning,,data-pipelines,https://github.com/databricks/spark-deep-learning,https://github.com/databricks/spark-deep-learning,Apache-2.0,2017-05-31 17:30:28.000000,2021-09-26 02:36:04.000000,2021-08-19 02:08:33.000000,136.0,,455,153.0,140.0,76.0,27.0,1902.0,Deep Learning Pipelines for Apache Spark.,16.0,19,True,2020-01-08 19:50:31.000000,1.6.0,9.0,,,,,['spark'],19.0,19.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n726,Antialiased CNNs,adobe/antialiased-cnns,,pytorch-utils,https://github.com/adobe/antialiased-cnns,https://github.com/adobe/antialiased-cnns,CC BY-NC-SA 4.0,2019-05-14 20:51:25.000000,2021-09-29 18:48:52.000000,2021-09-29 18:48:52.000000,239.0,,185,37.0,6.0,11.0,31.0,1478.0,pip install antialiased-cnns to improve stability and accuracy.,6.0,19,False,2020-10-23 22:45:52.000000,0.3,6.0,antialiased-cnns,,,,['pytorch'],17.0,15.0,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49.000000,2.0,542.0,542.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n727,doc2text,jlsutherland/doc2text,,ocr,https://github.com/jlsutherland/doc2text,https://github.com/jlsutherland/doc2text,MIT,2016-08-28 19:30:02.000000,2020-12-01 22:56:27.000000,2020-12-01 22:56:26.000000,62.0,,101,40.0,13.0,14.0,9.0,1251.0,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,5.0,19,False,2016-09-06 21:59:21.000000,0.2.4,5.0,doc2text,,,,,50.0,50.0,https://pypi.org/project/doc2text,2016-09-06 21:59:21.000000,,333.0,333.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n728,AdvBox,advboxes/AdvBox,,adversarial,https://github.com/advboxes/AdvBox,https://github.com/advboxes/AdvBox,Apache-2.0,2018-08-08 08:55:41.000000,2022-01-13 00:51:40.000000,2021-05-03 22:51:52.000000,375.0,,241,57.0,48.0,8.0,29.0,1196.0,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,19.0,19,True,2018-12-05 02:48:50.000000,0.4.1,2.0,advbox,,,,,,,https://pypi.org/project/advbox,2018-12-05 02:48:50.000000,,44.0,44.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n729,sklearn-porter,nok/sklearn-porter,,model-serialisation,https://github.com/nok/sklearn-porter,https://github.com/nok/sklearn-porter,MIT,2016-06-22 22:21:34.000000,2021-11-23 15:46:59.000000,2019-12-18 13:31:50.000000,699.0,,143,35.0,19.0,42.0,29.0,1118.0,\"Transpile trained scikit-learn estimators to C, Java, JavaScript and others.\",11.0,19,False,2019-12-18 13:39:19.000000,0.7.4,20.0,sklearn-porter,,,,['sklearn'],1.0,,https://pypi.org/project/sklearn-porter,2019-12-18 13:39:19.000000,1.0,420.0,420.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n730,Databolt Flow,d6t/d6tflow,,data-pipelines,https://github.com/d6t/d6tflow,https://github.com/d6t/d6tflow,MIT,2019-02-03 01:51:22.000000,2021-10-06 00:53:48.000000,2021-09-28 02:59:00.000000,266.0,,69,22.0,18.0,10.0,13.0,934.0,Python library for building highly effective data science workflows.,12.0,19,True,2021-10-06 00:53:48.000000,0.2.5,21.0,d6tflow,,,,,17.0,17.0,https://pypi.org/project/d6tflow,2021-10-06 00:53:48.000000,,205.0,205.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n731,NGT,yahoojapan/NGT,,nn-search,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000000,2022-01-12 05:36:04.000000,2022-01-12 05:35:41.000000,133.0,2.0,82,35.0,19.0,10.0,76.0,839.0,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,12.0,19,True,2021-04-14 00:31:14.000000,1.13.7,50.0,ngt,,,,,6.0,,https://pypi.org/project/ngt,2020-09-23 06:52:45.000000,6.0,15335.0,15335.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n732,Performer Pytorch,lucidrains/performer-pytorch,,pytorch-utils,https://github.com/lucidrains/performer-pytorch,https://github.com/lucidrains/performer-pytorch,MIT,2020-10-03 03:41:36.000000,2021-11-07 01:03:14.000000,2021-11-07 01:02:14.000000,123.0,7.0,102,15.0,11.0,29.0,41.0,770.0,\"An implementation of Performer, a linear attention-based transformer, in Pytorch.\",6.0,19,True,2021-11-07 01:03:14.000000,1.1.3,79.0,performer-pytorch,,,,['pytorch'],40.0,36.0,https://pypi.org/project/performer-pytorch,2021-11-07 01:03:14.000000,4.0,891.0,891.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n733,Saliency,PAIR-code/saliency,,tensorflow-utils,https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35.000000,2021-07-28 22:22:28.000000,2021-07-28 22:22:27.000000,79.0,,159,28.0,51.0,14.0,26.0,757.0,\"Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).\",14.0,19,True,2021-05-03 16:33:29.000000,0.1.3,10.0,saliency,,,,['tensorflow'],22.0,19.0,https://pypi.org/project/saliency,2021-05-03 16:33:29.000000,3.0,605.0,605.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n734,AutoGL,THUMNLab/AutoGL,,graph,https://github.com/THUMNLab/AutoGL,https://github.com/THUMNLab/AutoGL,Apache-2.0,2020-11-30 14:26:22.000000,2022-01-02 03:32:00.000000,2021-12-31 09:00:41.000000,567.0,312.0,77,27.0,75.0,5.0,13.0,746.0,An autoML framework & toolkit for machine learning on graphs.,13.0,19,True,2020-12-23 08:15:15.000000,0.1.1,2.0,auto-graph-learning,,,,['pytorch'],,,https://pypi.org/project/auto-graph-learning,2020-12-23 08:05:25.000000,,35.0,35.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n735,Vulkan Kompute,EthicalML/vulkan-kompute,,gpu-utilities,https://github.com/KomputeProject/kompute,https://github.com/KomputeProject/kompute,Apache-2.0,2020-07-29 05:23:33.000000,2022-01-05 07:33:33.000000,2022-01-04 23:01:52.000000,983.0,25.0,51,21.0,98.0,52.0,107.0,712.0,\"General purpose GPU compute framework for cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast,..\",16.0,19,True,2021-09-16 04:09:57.000000,0.8.0,12.0,kp,,,,,2.0,2.0,https://pypi.org/project/kp,2021-09-15 06:20:19.000000,,111.0,117.0,,,,,,,,3.0,110.0,,,,,,,,,KomputeProject/kompute,,,,,,,,,,,\n736,sklearn-deap,rsteca/sklearn-deap,,hyperopt,https://github.com/rsteca/sklearn-deap,https://github.com/rsteca/sklearn-deap,MIT,2015-10-28 22:52:34.000000,2021-07-30 15:13:54.000000,2021-07-30 15:06:27.000000,104.0,,114,29.0,25.0,21.0,34.0,671.0,Use evolutionary algorithms instead of gridsearch in scikit-learn.,22.0,19,True,2021-07-30 15:13:54.000000,0.3.0,14.0,sklearn-deap,,,,['sklearn'],33.0,31.0,https://pypi.org/project/sklearn-deap,2021-07-30 15:13:54.000000,2.0,727.0,727.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n737,matrixprofile-ts,target/matrixprofile-ts,,time-series-data,https://github.com/target/matrixprofile-ts,https://github.com/target/matrixprofile-ts,Apache-2.0,2018-09-10 19:03:34.000000,2020-04-25 18:38:20.000000,2020-04-25 18:37:42.000000,198.0,,92,24.0,46.0,19.0,34.0,669.0,A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile.,15.0,19,False,2019-08-08 01:24:38.000000,0.0.9,9.0,matrixprofile-ts,,,,,18.0,18.0,https://pypi.org/project/matrixprofile-ts,2019-08-08 01:24:38.000000,,942.0,942.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n738,Tensor Sensor,parrt/tensor-sensor,,pytorch-utils,https://github.com/parrt/tensor-sensor,https://github.com/parrt/tensor-sensor,MIT,2020-08-28 22:54:04.000000,2021-12-13 18:54:27.000000,2021-12-13 18:54:25.000000,234.0,29.0,33,12.0,13.0,8.0,15.0,622.0,\"The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy,..\",3.0,19,True,2021-12-11 21:24:11.000000,1.0,37.0,tensor-sensor,,,,['pytorch'],7.0,7.0,https://pypi.org/project/tensor-sensor,2021-12-11 21:24:35.000000,,1660.0,1660.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n739,Dragonfly,dragonfly/dragonfly,,hyperopt,https://github.com/dragonfly/dragonfly,https://github.com/dragonfly/dragonfly,MIT,2018-04-20 22:19:50.000000,2021-07-31 04:54:26.000000,2020-07-03 18:01:17.000000,397.0,,199,28.0,35.0,33.0,18.0,615.0,An open source python library for scalable Bayesian optimisation.,12.0,19,False,2020-07-03 18:05:12.000000,0.1.6,9.0,dragonfly-opt,,,,,2.0,,https://pypi.org/project/dragonfly-opt,2020-07-03 18:05:12.000000,2.0,23803.0,23803.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n740,cuSignal,rapidsai/cusignal,,gpu-utilities,https://github.com/rapidsai/cusignal,https://github.com/rapidsai/cusignal,Apache-2.0,2019-08-22 14:27:27.000000,2022-01-13 15:38:19.000000,2021-12-08 17:57:35.000000,1174.0,12.0,80,40.0,325.0,15.0,110.0,564.0,GPU accelerated signal processing.,36.0,19,True,2021-12-08 17:04:15.000000,21.12.00,10.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n741,tcav,tensorflow/tcav,,interpretability,https://github.com/tensorflow/tcav,https://github.com/tensorflow/tcav,Apache-2.0,2018-07-03 17:45:35.000000,2022-01-13 01:14:35.000000,2021-09-16 17:56:31.000000,171.0,,119,31.0,67.0,6.0,53.0,505.0,Code for the TCAV ML interpretability project.,19.0,19,True,2021-02-23 16:17:42.000000,0.2.2,4.0,tcav,,,,['tensorflow'],14.0,11.0,https://pypi.org/project/tcav,2021-02-23 16:17:42.000000,3.0,97.0,97.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n742,seglearn,dmbee/seglearn,,time-series-data,https://github.com/dmbee/seglearn,https://github.com/dmbee/seglearn,BSD-3-Clause,2018-03-05 20:53:59.000000,2021-03-13 16:18:30.000000,2021-03-12 17:12:50.000000,268.0,,52,29.0,29.0,5.0,23.0,483.0,Python module for machine learning time series:.,13.0,19,True,2021-03-13 16:18:30.000000,1.2.3,22.0,seglearn,,,,,12.0,11.0,https://pypi.org/project/seglearn,2021-03-13 16:18:30.000000,1.0,1015.0,1015.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n743,BioPandas,rasbt/biopandas,,others,https://github.com/rasbt/biopandas,https://github.com/rasbt/biopandas,BSD-3-Clause,2015-11-21 00:00:14.000000,2022-01-04 15:52:57.000000,2022-01-04 15:52:45.000000,167.0,1.0,89,14.0,50.0,15.0,24.0,403.0,Working with molecular structures in pandas DataFrames.,8.0,19,True,2021-08-30 11:52:40.000000,0.2.9,14.0,biopandas,conda-forge/biopandas,,,['pandas'],9.0,,https://pypi.org/project/biopandas,2021-09-24 00:14:13.000000,9.0,2130.0,3677.0,https://anaconda.org/conda-forge/biopandas,2021-08-31 18:19:35.536000,94418.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n744,Auto TS,AutoViML/Auto_TS,,time-series-data,https://github.com/AutoViML/Auto_TS,https://github.com/AutoViML/Auto_TS,Apache-2.0,2020-02-15 15:23:32.000000,2021-12-27 13:50:54.000000,2021-12-27 13:49:13.000000,244.0,8.0,67,13.0,12.0,9.0,52.0,369.0,\"Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of..\",6.0,19,True,2021-12-27 13:50:54.000000,0.0.47,25.0,auto-ts,,,,,,,https://pypi.org/project/auto-ts,2021-12-27 13:50:54.000000,,2238.0,2238.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n745,carefree-learn,carefree0910/carefree-learn,,tabular,https://github.com/carefree0910/carefree-learn,https://github.com/carefree0910/carefree-learn,MIT,2020-06-17 17:44:17.000000,2022-01-04 07:02:41.000000,2022-01-04 07:02:30.000000,3195.0,102.0,30,10.0,1.0,,80.0,356.0,Deep Learning PyTorch.,1.0,19,True,2021-10-29 05:39:15.000000,0.2.1,20.0,carefree-learn,,,,['pytorch'],2.0,2.0,https://pypi.org/project/carefree-learn,2021-10-29 05:36:03.000000,,52.0,52.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n746,rrcf,kLabUM/rrcf,,others,https://github.com/kLabUM/rrcf,https://github.com/kLabUM/rrcf,MIT,2018-10-20 05:39:05.000000,2021-01-13 23:05:23.000000,2020-06-10 01:07:39.000000,253.0,,81,20.0,52.0,22.0,17.0,353.0,Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams.,4.0,19,False,2020-06-10 01:53:55.000000,0.4.3,7.0,rrcf,,,,,34.0,32.0,https://pypi.org/project/rrcf,2020-06-10 01:53:55.000000,2.0,8859.0,8859.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n747,datmo,datmo/datmo,,ml-experiments,https://github.com/datmo/datmo,https://github.com/datmo/datmo,MIT,2017-11-03 05:46:43.000000,2022-01-06 22:27:34.000000,2019-11-29 00:48:44.000000,1051.0,,27,10.0,120.0,42.0,149.0,339.0,Open source production model management tool for data scientists.,6.0,19,False,2018-12-07 06:16:42.000000,0.0.40,41.0,datmo,,,,,5.0,5.0,https://pypi.org/project/datmo,2018-12-07 06:16:42.000000,,162.0,162.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n748,pykale,pykale/pykale,,others,https://github.com/pykale/pykale,https://github.com/pykale/pykale,MIT,2020-06-30 08:06:10.000000,2022-01-13 00:45:35.000000,2021-12-22 22:32:12.000000,1748.0,116.0,38,9.0,171.0,10.0,64.0,318.0,Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary..,14.0,19,True,2021-10-13 22:01:16.000000,0.1.0rc4,8.0,pykale,,,,['pytorch'],,,https://pypi.org/project/pykale,2021-10-13 22:02:19.000000,,35.0,35.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n749,elegy,poets-ai/elegy,,ml-frameworks,https://github.com/poets-ai/elegy,https://github.com/poets-ai/elegy,MIT,2020-06-30 14:00:37.000000,2021-12-14 13:57:24.000000,2021-12-14 13:55:52.000000,324.0,17.0,21,11.0,134.0,22.0,63.0,308.0,A High Level API for Deep Learning in JAX.,14.0,19,True,2021-12-14 13:57:24.000000,0.8.4,28.0,elegy,,,,\"['tensorflow', 'jax']\",,,https://pypi.org/project/elegy,2021-12-14 13:56:14.000000,,380.0,380.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n750,quinn,MrPowers/quinn,,ml-experiments,https://github.com/MrPowers/quinn,https://github.com/MrPowers/quinn,Apache-2.0,2017-09-15 13:02:42.000000,2021-03-27 14:31:44.000000,2021-02-09 04:48:07.000000,110.0,,40,20.0,18.0,17.0,9.0,305.0,pyspark methods to enhance developer productivity.,6.0,19,True,2021-02-06 15:21:04.000000,0.9.0,12.0,quinn,,,,['spark'],4.0,,https://pypi.org/project/quinn,2021-02-06 15:21:04.000000,4.0,466495.0,466495.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n751,sk-dist,Ibotta/sk-dist,,distributed-ml,https://github.com/Ibotta/sk-dist,https://github.com/Ibotta/sk-dist,Apache-2.0,2019-08-14 21:07:17.000000,2021-07-07 00:44:10.000000,2021-07-07 00:44:07.000000,58.0,,47,25.0,38.0,7.0,10.0,274.0,Distributed scikit-learn meta-estimators in PySpark.,7.0,19,False,2020-05-14 22:20:14.000000,0.1.9,12.0,sk-dist,,,,\"['sklearn', 'spark']\",11.0,9.0,https://pypi.org/project/sk-dist,2020-05-14 22:20:14.000000,2.0,39484.0,39484.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n752,ivis,beringresearch/ivis,,data-viz,https://github.com/beringresearch/ivis,https://github.com/beringresearch/ivis,Apache-2.0,2018-08-13 08:31:01.000000,2021-11-08 17:08:45.000000,2021-11-08 17:08:42.000000,611.0,4.0,27,12.0,57.0,3.0,50.0,254.0,Dimensionality reduction in very large datasets using Siamese Networks.,10.0,19,False,2021-10-17 09:48:21.000000,2.06,32.0,ivis,,,,['tensorflow'],21.0,20.0,https://pypi.org/project/ivis,2021-10-17 09:46:36.000000,1.0,686.0,686.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n753,fastT5,Ki6an/fastT5,,nlp,https://github.com/Ki6an/fastT5,https://github.com/Ki6an/fastT5,Apache-2.0,2021-03-11 08:46:42.000000,2022-01-06 19:43:48.000000,2022-01-06 19:38:13.000000,32.0,17.0,27,4.0,7.0,9.0,21.0,245.0,boost inference speed of T5 models by 5x & reduce the model size by 3x.,5.0,19,False,2022-01-06 19:43:48.000000,0.1.2,12.0,fastt5,,,,,6.0,6.0,https://pypi.org/project/fastt5,2022-01-06 19:43:48.000000,,990.0,990.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n754,fletcher,xhochy/fletcher,,data-containers,https://github.com/xhochy/fletcher,https://github.com/xhochy/fletcher,MIT,2018-03-04 16:44:22.000000,2021-11-04 09:30:27.570000,2021-02-18 14:46:18.000000,520.0,,34,19.0,146.0,34.0,40.0,219.0,Pandas ExtensionDType/Array backed by Apache Arrow.,24.0,19,False,2021-01-17 20:11:01.000000,0.7.2,16.0,fletcher,conda-forge/fletcher,,,['pandas'],4.0,3.0,https://pypi.org/project/fletcher,2021-01-17 20:11:01.000000,1.0,202.0,1078.0,https://anaconda.org/conda-forge/fletcher,2021-11-04 09:30:27.570000,36813.0,,,,,3.0,13.0,,,,,,,,,,,,,,,,,,,,\n755,Muda,bmcfee/muda,,audio,https://github.com/bmcfee/muda,https://github.com/bmcfee/muda,ISC,2014-11-07 21:21:22.000000,2021-12-15 16:53:25.527000,2021-05-03 14:04:36.000000,293.0,,34,12.0,36.0,7.0,44.0,197.0,A library for augmenting annotated audio data.,7.0,19,False,2019-11-15 15:46:21.000000,0.4.1,12.0,muda,,,,,15.0,14.0,https://pypi.org/project/muda,2021-12-15 16:53:25.527000,1.0,172.0,172.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n756,celer,mathurinm/celer,,sklearn-utils,https://github.com/mathurinm/celer,https://github.com/mathurinm/celer,BSD-3-Clause,2018-02-20 19:37:31.000000,2021-12-10 09:56:59.000000,2021-12-10 09:44:45.000000,228.0,5.0,23,8.0,146.0,14.0,55.0,127.0,\"Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.\",9.0,19,False,2021-10-28 09:58:28.000000,0.6.1,11.0,celer,,,,['sklearn'],10.0,10.0,https://pypi.org/project/celer,2021-10-28 09:58:28.000000,,321.0,321.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n757,DE⫶TR,facebookresearch/detr,,image,https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52.000000,2021-11-28 09:13:56.000000,2021-10-18 10:06:31.000000,45.0,1.0,1394,145.0,71.0,133.0,267.0,8206.0,End-to-End Object Detection with Transformers.,24.0,18,True,2020-06-29 16:41:01.000000,0.2,1.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n758,PySlowFast,facebookresearch/SlowFast,,image,https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26.000000,2021-11-03 07:05:48.000000,2021-10-28 14:20:52.000000,163.0,1.0,849,93.0,30.0,239.0,238.0,4514.0,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,25.0,18,True,,,,,,,,['pytorch'],6.0,6.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n759,Spotlight,maciejkula/spotlight,,recommender-systems,https://github.com/maciejkula/spotlight,https://github.com/maciejkula/spotlight,MIT,2017-06-25 18:52:19.000000,2020-11-15 08:21:28.000000,2020-02-09 21:03:48.000000,299.0,,391,113.0,79.0,67.0,48.0,2637.0,Deep recommender models using PyTorch.,11.0,18,False,2019-09-08 10:19:53.000000,0.1.6,7.0,,maciejkula/spotlight,,,['pytorch'],,,,,,,120.0,https://anaconda.org/maciejkula/spotlight,2018-05-27 18:32:12.235000,6602.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n760,keepsake,replicate/keepsake,,ml-experiments,https://github.com/replicate/keepsake,https://github.com/replicate/keepsake,Apache-2.0,2020-07-01 04:37:44.000000,2022-01-13 04:18:06.000000,2021-05-07 00:33:52.000000,788.0,,59,10.0,638.0,123.0,64.0,1533.0,Version control for machine learning.,16.0,18,True,2021-03-11 21:15:01.000000,0.4.2,7.0,keepsake,,,,,,,https://pypi.org/project/keepsake,2021-03-11 21:15:01.000000,,734.0,734.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n761,Fiber,uber/fiber,,distributed-ml,https://github.com/uber/fiber,https://github.com/uber/fiber,Apache-2.0,2020-01-07 18:16:24.000000,2021-06-30 02:02:42.000000,2021-03-15 07:00:08.000000,66.0,,104,25.0,34.0,20.0,8.0,954.0,Distributed Computing for AI Made Simple.,5.0,18,True,2020-07-09 03:28:28.000000,0.2.1,6.0,fiber,,,,,32.0,31.0,https://pypi.org/project/fiber,2020-07-09 03:28:28.000000,1.0,1457.0,1457.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n762,Bounter,RaRe-Technologies/bounter,,data-containers,https://github.com/RaRe-Technologies/bounter,https://github.com/RaRe-Technologies/bounter,MIT,2017-07-18 07:24:15.000000,2021-09-19 00:43:46.000000,2021-05-24 07:29:54.000000,156.0,,48,21.0,27.0,15.0,9.0,930.0,Efficient Counter that uses a limited (bounded) amount of memory regardless of data size.,8.0,18,True,2020-08-17 06:37:51.000000,1.1.1,7.0,bounter,,,,,33.0,25.0,https://pypi.org/project/bounter,2020-08-17 06:37:51.000000,8.0,187.0,187.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n763,ADTK,arundo/adtk,,time-series-data,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22.000000,2021-07-18 06:52:12.000000,2020-04-17 02:27:44.000000,79.0,,94,25.0,73.0,26.0,34.0,769.0,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,11.0,18,False,2020-04-17 02:18:00.000000,0.6.2,13.0,adtk,,,,,,,https://pypi.org/project/adtk,2020-04-17 02:18:00.000000,,51623.0,51623.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n764,pytorch2keras,gmalivenko/pytorch2keras,,model-serialisation,https://github.com/gmalivenko/pytorch2keras,https://github.com/gmalivenko/pytorch2keras,MIT,2017-11-16 20:21:43.000000,2021-09-28 21:39:06.000000,2021-08-06 08:18:46.000000,282.0,,129,14.0,21.0,50.0,67.0,768.0,PyTorch to Keras model convertor.,13.0,18,True,2020-05-14 10:03:56.000000,0.2.4,23.0,pytorch2keras,,,,,27.0,26.0,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56.000000,1.0,620.0,620.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n765,XAI,EthicalML/xai,,interpretability,https://github.com/EthicalML/xai,https://github.com/EthicalML/xai,MIT,2019-01-11 20:00:09.000000,2021-10-30 06:35:19.000000,2021-10-30 06:30:12.000000,91.0,4.0,115,42.0,5.0,1.0,7.0,761.0,XAI - An eXplainability toolbox for machine learning.,3.0,18,True,2021-10-30 06:35:19.000000,0.1.0,6.0,xai,,,,,17.0,11.0,https://pypi.org/project/xai,2021-10-30 06:33:26.000000,6.0,327.0,327.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n766,AlphaPy,ScottfreeLLC/AlphaPy,,hyperopt,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32.000000,2021-12-22 00:07:44.000000,2021-10-23 07:17:16.000000,413.0,4.0,146,57.0,3.0,12.0,29.0,691.0,\"Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost.\",3.0,18,True,2020-08-29 18:48:20.000000,2.5.0,25.0,alphapy,,,,,3.0,3.0,https://pypi.org/project/alphapy,2020-08-29 18:44:15.000000,,122.0,122.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n767,NeoML,neoml-lib/neoml,,ml-frameworks,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000000,2022-01-13 10:21:47.000000,2022-01-12 12:38:39.000000,532.0,73.0,100,30.0,485.0,28.0,42.0,659.0,Machine learning framework for both deep learning and traditional algorithms.,28.0,18,True,2021-06-22 05:25:53.000000,NeoML-master_2.0.5.0,2.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n768,baikal,alegonz/baikal,,others,https://github.com/alegonz/baikal,https://github.com/alegonz/baikal,BSD-3-Clause,2019-01-21 12:59:02.000000,2021-12-13 20:33:34.000000,2021-04-11 07:50:00.000000,405.0,,29,19.0,38.0,6.0,14.0,591.0,A graph-based functional API for building complex scikit-learn pipelines.,2.0,18,True,2020-11-15 13:40:18.000000,0.4.2,8.0,baikal,conda-forge/cython-blis,,,,4.0,3.0,https://pypi.org/project/baikal,2020-11-15 13:40:18.000000,1.0,378.0,34803.0,https://anaconda.org/conda-forge/cython-blis,2021-11-04 20:09:22.632000,1170474.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n769,Caer,jasmcaus/caer,,image,https://github.com/jasmcaus/caer,https://github.com/jasmcaus/caer,MIT,2020-08-06 18:36:14.000000,2021-10-13 21:04:50.000000,2021-10-13 21:05:33.000000,5078.0,,101,18.0,57.0,2.0,13.0,581.0,\"A lightweight Computer Vision library. Scale your models, not boilerplate.\",8.0,18,True,2021-10-13 21:04:12.000000,2.0.8,119.0,caer,,,https://caer.rtfd.io,,1.0,,https://pypi.org/project/caer,2021-10-13 21:04:12.000000,1.0,3796.0,3797.0,,,,,,,,3.0,19.0,,,,,,,,,,,,,,,,,,,,\n770,N2,kakao/n2,,nn-search,https://github.com/kakao/n2,https://github.com/kakao/n2,Apache-2.0,2017-11-23 02:27:59.000000,2021-05-20 05:41:36.000000,2021-05-20 05:39:44.000000,264.0,,61,37.0,16.0,17.0,20.0,503.0,TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets.,18.0,18,True,2020-10-16 03:43:47.000000,0.1.7,9.0,n2,,,,,25.0,22.0,https://pypi.org/project/n2,2020-10-16 03:10:01.000000,3.0,736.0,736.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n771,apricot,jmschrei/apricot,,others,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12.000000,2021-11-18 21:06:56.000000,2021-11-18 21:06:54.000000,172.0,3.0,40,8.0,8.0,6.0,18.0,397.0,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,4.0,18,True,2020-09-28 07:19:15.000000,0.6.0,13.0,apricot-select,,,,,25.0,22.0,https://pypi.org/project/apricot-select,2020-09-28 07:19:15.000000,3.0,382.0,382.0,,,,,,,,3.0,10.0,,,,,,,,,,,,,,,,,,,,\n772,Case Recommender,caserec/CaseRecommender,,recommender-systems,https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39.000000,2021-11-25 23:19:05.000000,2021-11-25 23:08:43.000000,204.0,1.0,77,23.0,18.0,7.0,20.0,377.0,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems.,11.0,18,True,2021-11-25 23:19:05.000000,1.1.1,42.0,caserecommender,,,,['sklearn'],9.0,9.0,https://pypi.org/project/caserecommender,2021-11-25 23:19:05.000000,,539.0,539.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n773,DESlib,scikit-learn-contrib/DESlib,,sklearn-utils,https://github.com/scikit-learn-contrib/DESlib,https://github.com/scikit-learn-contrib/DESlib,BSD-3-Clause,2017-12-08 22:49:49.000000,2021-10-10 00:13:26.000000,2021-10-10 00:13:26.000000,273.0,,73,15.0,121.0,14.0,129.0,369.0,A Python library for dynamic classifier and ensemble selection.,13.0,18,True,2021-02-08 06:29:25.000000,0.3.5,4.0,deslib,,,,['sklearn'],24.0,22.0,https://pypi.org/project/deslib,2021-02-08 06:29:25.000000,2.0,989.0,989.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n774,recmetrics,statisticianinstilettos/recmetrics,,recommender-systems,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49.000000,2021-10-27 14:22:31.000000,2021-10-27 14:16:34.000000,237.0,3.0,76,10.0,20.0,7.0,10.0,337.0,A library of metrics for evaluating recommender systems.,13.0,18,True,2021-09-24 21:30:26.000000,0.1.0,15.0,recmetrics,,,,,22.0,22.0,https://pypi.org/project/recmetrics,2021-09-24 21:30:26.000000,,597.0,597.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n775,scikit-tda,scikit-tda/scikit-tda,,sklearn-utils,https://github.com/scikit-tda/scikit-tda,https://github.com/scikit-tda/scikit-tda,MIT,2018-04-13 21:00:31.000000,2021-10-01 15:05:45.000000,2021-08-03 00:21:54.000000,60.0,,39,14.0,5.0,12.0,4.0,325.0,Topological Data Analysis for Python.,3.0,18,True,2021-08-03 00:23:20.000000,1.0.0,4.0,scikit-tda,,,,['sklearn'],24.0,24.0,https://pypi.org/project/scikit-tda,2021-08-03 00:23:20.000000,,3657.0,3657.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n776,TextBox,RUCAIBox/TextBox,,nlp,https://github.com/RUCAIBox/TextBox,https://github.com/RUCAIBox/TextBox,MIT,2020-11-08 07:35:46.000000,2021-12-30 06:07:50.000000,2021-12-26 03:05:14.000000,694.0,48.0,57,10.0,152.0,3.0,15.0,325.0,TextBox is an open-source library for building text generation system.,12.0,18,True,2021-04-15 13:39:28.000000,0.2.1,10.0,textbox,,,,,5.0,5.0,https://pypi.org/project/textbox,2021-04-15 09:35:06.000000,,51.0,51.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n777,bodywork-core,bodywork-ml/bodywork-core,,data-pipelines,https://github.com/bodywork-ml/bodywork-core,https://github.com/bodywork-ml/bodywork-core,AGPL-3.0,2020-11-17 11:38:17.000000,2021-12-24 13:01:44.000000,2021-12-24 12:45:51.000000,778.0,50.0,16,9.0,99.0,7.0,48.0,316.0,\"ML pipeline orchestration and model deployments on Kubernetes, made really easy.\",4.0,18,False,2021-07-05 08:15:59.000000,2.1.7,46.0,bodywork,,,,,9.0,9.0,https://pypi.org/project/bodywork,2021-12-24 12:53:14.000000,,190.0,190.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n778,Sherpa,sherpa-ai/sherpa,,hyperopt,https://github.com/sherpa-ai/sherpa,https://github.com/sherpa-ai/sherpa,GPL-3.0,2018-05-16 21:41:54.000000,2020-10-18 07:57:50.000000,2020-10-18 07:57:48.000000,823.0,,49,11.0,60.0,15.0,41.0,308.0,\"Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.\",43.0,18,False,2020-07-31 05:29:09.000000,1.0.7,8.0,parameter-sherpa,,,,,19.0,17.0,https://pypi.org/project/parameter-sherpa,2019-11-23 21:32:27.000000,2.0,249.0,249.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n779,pandas-ml,pandas-ml/pandas-ml,,others,https://github.com/pandas-ml/pandas-ml,https://github.com/pandas-ml/pandas-ml,BSD-3-Clause,2015-02-21 03:14:04.000000,2020-08-14 12:29:33.000000,2019-03-05 01:36:55.000000,153.0,,60,20.0,93.0,24.0,17.0,281.0,\"pandas, scikit-learn, xgboost and seaborn integration.\",4.0,18,False,2019-03-05 01:36:12.000000,0.6.1,9.0,pandas-ml,,,,\"['sklearn', 'pandas']\",11.0,,https://pypi.org/project/pandas-ml,2019-03-05 01:35:23.000000,11.0,3570.0,3570.0,,,,,,,,3.0,5.0,,,,,,,,,,,,,,,,,,,,\n780,model-card-toolkit,tensorflow/model-card-toolkit,,interpretability,https://github.com/tensorflow/model-card-toolkit,https://github.com/tensorflow/model-card-toolkit,Apache-2.0,2020-07-24 16:48:58.000000,2022-01-11 01:01:48.000000,2022-01-11 01:01:44.000000,186.0,39.0,42,11.0,174.0,13.0,2.0,246.0,a tool that leverages rich metadata and lineage information in MLMD to build a model card.,11.0,18,False,2022-01-06 17:29:20.000000,1.2.0,7.0,model-card-toolkit,,,,,6.0,6.0,https://pypi.org/project/model-card-toolkit,2022-01-04 18:19:01.000000,,223.0,223.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n781,fairness-indicators,tensorflow/fairness-indicators,,interpretability,https://github.com/tensorflow/fairness-indicators,https://github.com/tensorflow/fairness-indicators,Apache-2.0,2019-09-30 22:56:45.000000,2021-12-03 20:30:47.000000,2021-12-03 19:26:37.000000,279.0,4.0,68,19.0,269.0,12.0,8.0,239.0,Tensorflows Fairness Evaluation and Visualization Toolkit.,25.0,18,False,2021-12-03 20:30:47.000000,0.36.0,22.0,fairness-indicators,,,,\"['tensorflow', 'jupyter']\",,,https://pypi.org/project/fairness-indicators,2021-12-03 20:30:47.000000,,710.0,710.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n782,skift,shaypal5/skift,,nlp,https://github.com/shaypal5/skift,https://github.com/shaypal5/skift,MIT,2018-02-03 11:37:21.000000,2022-01-13 13:06:09.000000,2022-01-13 13:06:06.000000,133.0,4.0,22,11.0,7.0,2.0,9.0,224.0,scikit-learn wrappers for Python fastText.,8.0,18,False,2021-12-13 07:35:28.000000,0.0.21,16.0,skift,,,,['sklearn'],11.0,11.0,https://pypi.org/project/skift,2021-12-13 07:34:53.000000,,652.0,652.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n783,OpenNRE,thunlp/OpenNRE,,nlp,https://github.com/thunlp/OpenNRE,https://github.com/thunlp/OpenNRE,MIT,2017-02-26 07:37:12.000000,2021-12-09 19:53:22.000000,2021-12-09 19:53:22.000000,161.0,3.0,912,120.0,20.0,21.0,320.0,3464.0,An Open-Source Package for Neural Relation Extraction (NRE).,10.0,17,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n784,NeuroNER,Franck-Dernoncourt/NeuroNER,,nlp,https://github.com/Franck-Dernoncourt/NeuroNER,https://github.com/Franck-Dernoncourt/NeuroNER,MIT,2017-03-07 01:24:15.000000,2021-10-16 02:17:23.000000,2019-10-02 23:26:11.000000,132.0,,449,84.0,30.0,82.0,67.0,1582.0,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,7.0,17,False,2019-10-02 23:30:15.000000,1.0.8,7.0,pyneuroner,,,,,,,https://pypi.org/project/pyneuroner,2019-10-02 23:30:15.000000,,115.0,115.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n785,Lambda Networks,lucidrains/lambda-networks,,pytorch-utils,https://github.com/lucidrains/lambda-networks,https://github.com/lucidrains/lambda-networks,MIT,2020-10-08 19:01:15.000000,2020-11-18 19:54:34.000000,2020-11-18 19:54:30.000000,31.0,,152,46.0,3.0,12.0,15.0,1497.0,\"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.\",3.0,17,False,2020-11-18 08:19:23.000000,0.4.0,11.0,lambda-networks,,,,['pytorch'],4.0,4.0,https://pypi.org/project/lambda-networks,2020-11-18 08:19:23.000000,,64.0,64.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n786,Advisor,tobegit3hub/advisor,,hyperopt,https://github.com/tobegit3hub/advisor,https://github.com/tobegit3hub/advisor,Apache-2.0,2017-09-14 03:50:33.000000,2019-11-11 07:09:57.869705,2019-11-11 06:59:31.000000,165.0,,255,51.0,13.0,20.0,13.0,1430.0,Open-source implementation of Google Vizier for hyper parameters tuning.,11.0,17,False,2018-10-18 02:54:09.000000,0.1.6,4.0,advisor,,tobegit3hub/advisor,,,,,https://pypi.org/project/advisor,2018-10-18 02:54:09.000000,,71.0,102.0,,,,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1642.0,3.0,,,,,,,,,,,,,,,,,,,,,\n787,robustness,MadryLab/robustness,,adversarial,https://github.com/MadryLab/robustness,https://github.com/MadryLab/robustness,MIT,2019-08-21 09:26:33.000000,2022-01-09 12:27:01.000000,2021-11-30 00:11:07.000000,141.0,2.0,123,16.0,39.0,14.0,54.0,651.0,\"A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.\",13.0,17,True,2020-12-01 06:11:12.000000,1.2.1.post2,10.0,robustness,,,,,71.0,69.0,https://pypi.org/project/robustness,2020-12-01 06:21:33.000000,2.0,796.0,796.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n788,ThunderGBM,Xtra-Computing/thundergbm,,ml-frameworks,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08.000000,2021-11-23 01:55:15.000000,2021-01-05 04:22:15.000000,606.0,,81,25.0,4.0,32.0,36.0,617.0,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,10.0,17,True,2020-05-01 23:16:25.000000,0.3.16,24.0,thundergbm,,,,,,,https://pypi.org/project/thundergbm,2020-05-01 23:16:25.000000,,109.0,109.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n789,nboost,koursaros-ai/nboost,,nlp,https://github.com/koursaros-ai/nboost,https://github.com/koursaros-ai/nboost,Apache-2.0,2019-10-29 20:56:24.000000,2020-09-30 14:51:16.000000,2020-07-16 19:48:25.000000,1336.0,,65,19.0,21.0,29.0,50.0,604.0,\"NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search..\",10.0,17,False,2020-06-12 20:05:15.000000,0.3.9,26.0,nboost,,,,,3.0,3.0,https://pypi.org/project/nboost,2020-06-12 20:05:15.000000,,91.0,91.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n790,TF Compression,tensorflow/compression,,tensorflow-utils,https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19.000000,2022-01-09 09:24:14.000000,2022-01-09 09:19:02.000000,176.0,2.0,202,42.0,15.0,3.0,73.0,566.0,Data compression in TensorFlow.,10.0,17,True,2021-05-14 00:38:32.000000,2.2,11.0,tensorflow-compression,,,,['tensorflow'],1.0,,https://pypi.org/project/tensorflow-compression,2021-05-14 00:25:53.000000,1.0,425.0,425.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n791,Auto Tune Models,HDI-Project/ATM,,hyperopt,https://github.com/HDI-Project/ATM,https://github.com/HDI-Project/ATM,MIT,2016-10-14 18:03:00.000000,2020-02-21 17:44:07.000000,2020-02-21 17:40:58.000000,775.0,,129,60.0,72.0,17.0,71.0,513.0,\"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).\",16.0,17,False,2019-07-30 09:28:26.000000,0.2.2,14.0,atm,,,,,9.0,9.0,https://pypi.org/project/atm,2019-07-30 09:25:11.000000,,103.0,103.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n792,animatplot,t-makaro/animatplot,,data-viz,https://github.com/t-makaro/animatplot,https://github.com/t-makaro/animatplot,MIT,2017-04-03 00:54:04.000000,2021-04-07 10:46:25.000000,2020-10-05 06:14:18.000000,178.0,,34,10.0,29.0,17.0,17.0,386.0,A python package for animating plots build on matplotlib.,7.0,17,False,2020-10-05 06:20:52.000000,0.4.2,10.0,animatplot,conda-forge/animatplot,,,,32.0,30.0,https://pypi.org/project/animatplot,2020-10-05 06:20:52.000000,2.0,370.0,578.0,https://anaconda.org/conda-forge/animatplot,2020-10-06 02:02:00.460000,7312.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n793,Sematch,gsi-upm/sematch,,graph,https://github.com/gsi-upm/sematch,https://github.com/gsi-upm/sematch,Apache-2.0,2012-11-30 11:11:53.000000,2020-11-05 21:20:52.000000,2019-03-27 03:17:24.000000,122.0,,101,71.0,5.0,14.0,19.0,373.0,semantic similarity framework for knowledge graph.,5.0,17,False,2017-04-17 10:56:52.000000,1.0.4,5.0,sematch,,,,,34.0,31.0,https://pypi.org/project/sematch,2017-04-17 10:56:52.000000,3.0,194.0,194.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n794,Pywick,achaiah/pywick,,pytorch-utils,https://github.com/achaiah/pywick,https://github.com/achaiah/pywick,MIT,2019-03-25 15:42:47.000000,2021-12-14 22:07:33.000000,2021-10-22 03:09:17.000000,149.0,8.0,38,14.0,39.0,2.0,12.0,365.0,High-level batteries-included neural network training library for Pytorch.,4.0,17,True,2021-10-22 03:19:11.000000,0.6.5,8.0,pywick,,,,['pytorch'],5.0,5.0,https://pypi.org/project/pywick,2021-10-22 03:19:11.000000,,50.0,50.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n795,DeepGraph,deepgraph/deepgraph,,graph,https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45.000000,2021-11-08 16:53:47.290000,2021-06-14 10:58:10.000000,162.0,,36,17.0,1.0,9.0,5.0,248.0,Analyze Data with Pandas-based Networks. Documentation:.,2.0,17,False,2020-10-01 13:20:38.000000,0.2.3,13.0,deepgraph,conda-forge/deepgraph,,,['pandas'],3.0,3.0,https://pypi.org/project/deepgraph,2020-10-01 13:18:38.000000,,210.0,2396.0,https://anaconda.org/conda-forge/deepgraph,2021-11-08 16:53:47.290000,115891.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n796,textaugment,dsfsi/textaugment,,nlp,https://github.com/dsfsi/textaugment,https://github.com/dsfsi/textaugment,MIT,2019-05-06 12:28:19.000000,2021-09-15 07:35:53.000000,2021-09-15 07:35:53.000000,60.0,,35,5.0,4.0,10.0,13.0,200.0,TextAugment: Text Augmentation Library.,5.0,17,False,2020-11-05 15:04:26.000000,1.3.4,8.0,textaugment,,,,,12.0,12.0,https://pypi.org/project/textaugment,2020-11-05 15:02:11.000000,,2884.0,2885.0,,,,,,,,3.0,53.0,,,,,,,,,,,,,,,,,,,,\n797,skggm,skggm/skggm,,sklearn-utils,https://github.com/skggm/skggm,https://github.com/skggm/skggm,MIT,2016-06-11 18:35:56.000000,2021-10-01 04:11:05.000000,2020-12-24 05:43:15.000000,701.0,,34,9.0,58.0,28.0,47.0,191.0,Scikit-learn compatible estimation of general graphical models.,5.0,17,False,2018-09-12 01:12:49.000000,0.2.8,6.0,skggm,,,,['sklearn'],10.0,8.0,https://pypi.org/project/skggm,2018-09-12 01:12:49.000000,2.0,39.0,39.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n798,nx-altair,Zsailer/nx_altair,,data-viz,https://github.com/Zsailer/nx_altair,https://github.com/Zsailer/nx_altair,MIT,2018-05-13 00:10:12.000000,2022-01-08 12:10:11.000000,2020-06-02 21:10:26.000000,51.0,,23,10.0,14.0,6.0,4.0,187.0,Draw interactive NetworkX graphs with Altair.,3.0,17,False,2020-06-02 21:11:12.000000,0.1.6,8.0,nx-altair,,,,['jupyter'],3.0,,https://pypi.org/project/nx-altair,2020-06-02 21:11:12.000000,3.0,4229.0,4229.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n799,flupy,olirice/flupy,,data-pipelines,https://github.com/olirice/flupy,https://github.com/olirice/flupy,MIT,2018-01-06 16:46:04.000000,2021-11-05 17:01:59.000000,2021-11-05 17:01:56.000000,195.0,1.0,12,8.0,13.0,3.0,9.0,169.0,Fluent data pipelines for python and your shell.,6.0,17,False,2021-10-15 12:35:59.000000,1.1.9,37.0,flupy,,,,,1.0,,https://pypi.org/project/flupy,2021-10-15 12:35:59.000000,1.0,27836.0,27836.0,,,,,,,,3.0,,,-2.0,,,,,,,,,,,,,,,,,,\n800,featurewiz,AutoViML/featurewiz,,hyperopt,https://github.com/AutoViML/featurewiz,https://github.com/AutoViML/featurewiz,Apache-2.0,2020-11-29 16:46:16.000000,2022-01-12 15:09:59.000000,2022-01-12 15:09:16.000000,146.0,31.0,32,1.0,1.0,2.0,9.0,121.0,Use advanced feature engineering strategies and select best features from your data set with a single line of code.,3.0,17,False,2022-01-12 15:09:59.000000,0.0.82,63.0,featurewiz,,,,,4.0,3.0,https://pypi.org/project/featurewiz,2022-01-12 15:09:59.000000,1.0,4074.0,4074.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n801,Feature Engine,solegalli/feature_engine,,others,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2020-08-06 19:43:35.639000,2022-01-04 17:54:20.182000,2021-08-06 12:03:40.000000,126.0,,5,1.0,1.0,,,11.0,Feature engineering package with sklearn like functionality.,24.0,17,False,2022-01-04 14:15:17.000000,1.2.0,29.0,feature_engine,conda-forge/feature_engine,,,,34.0,,https://pypi.org/project/feature_engine,2022-01-04 14:15:17.000000,34.0,57733.0,58147.0,https://anaconda.org/conda-forge/feature_engine,2022-01-04 17:54:20.182000,7047.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n802,StarSpace,facebookresearch/StarSpace,,ml-frameworks,https://github.com/facebookresearch/StarSpace,https://github.com/facebookresearch/StarSpace,MIT,2017-06-28 17:50:18.000000,2021-11-03 16:23:46.000000,2019-12-13 19:03:25.000000,138.0,,500,182.0,109.0,50.0,148.0,3713.0,\"Learning embeddings for classification, retrieval and ranking.\",17.0,16,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n803,Euler,alibaba/euler,,graph,https://github.com/alibaba/euler,https://github.com/alibaba/euler,Apache-2.0,2019-01-10 06:32:32.000000,2021-12-30 02:31:11.000000,2020-07-29 05:53:01.000000,8.0,,545,138.0,25.0,214.0,102.0,2710.0,A distributed graph deep learning framework.,5.0,16,False,2020-07-07 02:24:18.000000,2.0.0,2.0,euler-gl,,,,['tensorflow'],,,https://pypi.org/project/euler-gl,2019-04-10 01:53:45.000000,,16.0,16.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n804,GraphEmbedding,shenweichen/GraphEmbedding,,graph,https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20.000000,2022-01-06 09:34:21.000000,2020-10-18 09:32:47.000000,28.0,,757,51.0,10.0,39.0,14.0,2509.0,Implementation and experiments of graph embedding algorithms.,8.0,16,False,,,,,,,,['sklearn'],13.0,13.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n805,Mara Pipelines,mara/mara-pipelines,,data-pipelines,https://github.com/mara/mara-pipelines,https://github.com/mara/mara-pipelines,MIT,2018-03-31 20:37:22.000000,2021-10-27 08:01:17.000000,2021-09-18 06:45:18.000000,141.0,,86,58.0,46.0,11.0,13.0,1850.0,\"A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow.\",16.0,16,True,2021-01-23 22:34:03.000000,3.1.2,7.0,mara-pipelines,,,,,8.0,8.0,https://pypi.org/project/mara-pipelines,2021-01-23 22:34:03.000000,,79.0,79.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n806,pycls,facebookresearch/pycls,,image,https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17.000000,2021-10-14 20:53:57.000000,2021-08-19 02:33:54.000000,91.0,,207,58.0,95.0,21.0,56.0,1827.0,\"Codebase for Image Classification Research, written in PyTorch.\",13.0,16,True,2021-05-21 00:29:47.000000,0.2,2.0,,,,,['pytorch'],4.0,4.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n807,automl-gs,minimaxir/automl-gs,,hyperopt,https://github.com/minimaxir/automl-gs,https://github.com/minimaxir/automl-gs,MIT,2019-01-13 18:57:44.000000,2019-10-22 11:20:40.000000,2019-04-05 06:48:14.000000,102.0,,164,58.0,10.0,26.0,6.0,1766.0,\"Provide an input CSV and a target field to predict, generate a model + code to run it.\",7.0,16,False,2019-04-05 06:51:04.000000,0.2.1,2.0,automl_gs,,,,,,,https://pypi.org/project/automl_gs,2019-04-05 06:47:54.000000,,28.0,28.0,,,,,,,,3.0,27.0,,,,,,,,,,,,,,,,,,,,\n808,Xcessiv,reiinakano/xcessiv,,hyperopt,https://github.com/reiinakano/xcessiv,https://github.com/reiinakano/xcessiv,Apache-2.0,2017-03-07 18:18:25.000000,2018-06-06 22:23:37.000000,2017-08-21 00:51:15.000000,316.0,,109,54.0,34.0,22.0,13.0,1263.0,\"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.\",6.0,16,False,2017-08-21 00:53:25.000000,0.5.1,34.0,xcessiv,,,,,2.0,1.0,https://pypi.org/project/xcessiv,2017-08-21 00:49:41.000000,1.0,50.0,50.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n809,torchsde,google-research/torchsde,,pytorch-utils,https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11.000000,2021-07-26 13:59:41.000000,2021-07-26 13:59:38.000000,157.0,,99,31.0,66.0,7.0,36.0,894.0,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,5.0,16,True,2021-01-05 18:31:38.000000,0.2.4,4.0,,,,,['pytorch'],9.0,9.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n810,MedicalTorch,perone/medicaltorch,,medical-data,https://github.com/perone/medicaltorch,https://github.com/perone/medicaltorch,Apache-2.0,2018-02-27 02:50:07.000000,2021-12-04 23:52:48.000000,2021-04-16 18:50:54.000000,57.0,,112,49.0,19.0,14.0,9.0,759.0,A medical imaging framework for Pytorch.,8.0,16,True,2018-11-24 00:33:11.000000,0.2,2.0,medicaltorch,,,,['pytorch'],11.0,11.0,https://pypi.org/project/medicaltorch,2018-11-24 00:29:36.000000,,129.0,129.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n811,Tez,abhishekkrthakur/tez,,pytorch-utils,https://github.com/abhishekkrthakur/tez,https://github.com/abhishekkrthakur/tez,Apache-2.0,2020-11-13 10:19:22.000000,2022-01-12 16:54:01.000000,2021-12-28 11:56:11.000000,85.0,1.0,106,11.0,5.0,18.0,10.0,742.0,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,1.0,16,True,2021-12-28 11:56:53.000000,0.2.0,14.0,tez,,,,['pytorch'],20.0,18.0,https://pypi.org/project/tez,2021-12-28 11:56:53.000000,2.0,980.0,980.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n812,HyperparameterHunter,HunterMcGushion/hyperparameter_hunter,,hyperopt,https://github.com/HunterMcGushion/hyperparameter_hunter,https://github.com/HunterMcGushion/hyperparameter_hunter,MIT,2018-06-01 23:17:00.000000,2021-01-20 03:52:41.000000,2021-01-20 03:52:40.000000,1096.0,,87,25.0,101.0,37.0,84.0,681.0,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries.,4.0,16,True,2019-08-06 09:09:45.000000,3.0.0,16.0,hyperparameter-hunter,,,,,2.0,,https://pypi.org/project/hyperparameter-hunter,2019-08-06 08:52:20.000000,2.0,91.0,99.0,,,,,,,,3.0,329.0,,,,,,,,,,,,,,,,,,,,\n813,Anchor,marcotcr/anchor,,interpretability,https://github.com/marcotcr/anchor,https://github.com/marcotcr/anchor,BSD-2-Clause,2018-02-02 23:38:50.000000,2021-11-17 21:38:50.000000,2021-11-17 21:38:50.000000,45.0,1.0,93,24.0,10.0,18.0,51.0,679.0,Code for High-Precision Model-Agnostic Explanations paper.,10.0,16,True,,,8.0,anchor_exp,,,,,,,https://pypi.org/project/anchor_exp,2020-06-26 20:56:50.000000,,3192.0,3192.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n814,textflint,textflint/textflint,,adversarial,https://github.com/textflint/textflint,https://github.com/textflint/textflint,GPL-3.0,2021-03-06 11:15:52.000000,2022-01-12 11:01:21.000000,2021-10-08 13:25:47.000000,169.0,,84,18.0,13.0,1.0,25.0,535.0,Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing.,12.0,16,False,2021-08-30 06:41:29.000000,0.0.5,5.0,textflint,,,,,2.0,2.0,https://pypi.org/project/textflint,2021-08-30 06:41:29.000000,,89.0,89.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n815,kale,kubeflow-kale/kale,,data-pipelines,https://github.com/kubeflow-kale/kale,https://github.com/kubeflow-kale/kale,Apache-2.0,2019-01-24 17:58:44.000000,2022-01-13 16:50:48.000000,2021-10-20 12:44:09.000000,644.0,1.0,89,16.0,252.0,83.0,72.0,474.0,Kubeflows superfood for Data Scientists.,10.0,16,True,2021-05-19 12:56:53.000000,0.7.0,15.0,kubeflow-kale,,,,['jupyter'],,,https://pypi.org/project/kubeflow-kale,2021-05-19 12:56:53.000000,,982.0,982.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n816,LOFO,aerdem4/lofo-importance,,interpretability,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46.000000,2021-10-04 13:21:59.000000,2021-10-04 13:20:39.000000,26.0,,52,13.0,26.0,4.0,13.0,424.0,Leave One Feature Out Importance.,3.0,16,True,2021-10-04 13:21:59.000000,0.3.1,11.0,lofo-importance,,,,,6.0,6.0,https://pypi.org/project/lofo-importance,2021-10-04 13:21:59.000000,,196.0,196.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n817,OpenRec,ylongqi/openrec,,recommender-systems,https://github.com/ylongqi/openrec,https://github.com/ylongqi/openrec,Apache-2.0,2017-11-29 16:04:40.000000,2021-11-10 19:40:54.000000,2020-02-19 07:57:17.000000,213.0,,84,36.0,42.0,5.0,12.0,390.0,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms.,11.0,16,False,2020-02-18 06:52:11.000000,0.3.0,12.0,openrec,,,,,2.0,1.0,https://pypi.org/project/openrec,2020-02-18 06:52:11.000000,1.0,28.0,28.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n818,tfdeploy,riga/tfdeploy,,model-serialisation,https://github.com/riga/tfdeploy,https://github.com/riga/tfdeploy,BSD-3-Clause,2016-03-07 13:08:21.000000,2021-01-08 09:52:54.000000,2021-01-08 09:52:49.000000,170.0,,38,23.0,5.0,11.0,23.0,345.0,Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.,4.0,16,True,2017-03-30 10:51:26.000000,0.4.2,22.0,tfdeploy,,,,['tensorflow'],2.0,,https://pypi.org/project/tfdeploy,2017-03-30 10:51:26.000000,2.0,66.0,66.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n819,Camphr,PKSHATechnology-Research/camphr,,nlp,https://github.com/PKSHATechnology-Research/camphr,https://github.com/PKSHATechnology-Research/camphr,Apache-2.0,2020-02-10 03:39:58.000000,2021-08-18 06:06:52.000000,2021-08-18 06:06:51.000000,1404.0,,17,5.0,215.0,2.0,25.0,343.0,Camphr - NLP libary for creating pipeline components.,7.0,16,True,2021-07-28 07:48:46.000000,0.10.0,48.0,camphr,,,,['spacy'],2.0,,https://pypi.org/project/camphr,2021-07-28 07:48:46.000000,2.0,227.0,227.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n820,pdvega,altair-viz/pdvega,,data-viz,https://github.com/altair-viz/pdvega,https://github.com/altair-viz/pdvega,MIT,2018-01-11 21:30:27.000000,2019-03-29 16:09:14.000000,2019-03-29 16:09:13.000000,177.0,,31,22.0,21.0,16.0,10.0,340.0,Interactive plotting for Pandas using Vega-Lite.,9.0,16,False,,,1.0,pdvega,,,,,67.0,60.0,https://pypi.org/project/pdvega,2018-02-01 04:56:43.000000,7.0,111.0,111.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n821,data-describe,data-describe/data-describe,,data-viz,https://github.com/data-describe/data-describe,https://github.com/data-describe/data-describe,Apache-2.0,2020-05-04 17:58:14.000000,2021-11-30 05:04:57.000000,2021-11-19 06:05:15.000000,700.0,5.0,15,14.0,236.0,69.0,175.0,289.0,datadescribe: Pythonic EDA Accelerator for Data Science.,14.0,16,False,,,5.0,data-describe,,,,,,,https://pypi.org/project/data-describe,2020-12-03 23:07:43.000000,,231.0,231.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n822,solt,MIPT-Oulu/solt,,image,https://github.com/MIPT-Oulu/solt,https://github.com/MIPT-Oulu/solt,MIT,2018-08-02 15:09:05.000000,2021-10-12 22:58:52.000000,2020-04-09 06:44:39.000000,336.0,,19,7.0,30.0,17.0,30.0,253.0,Streaming over lightweight data transformations.,4.0,16,False,2020-03-10 14:09:31.000000,0.1.9,18.0,solt,,,,,28.0,25.0,https://pypi.org/project/solt,2020-03-10 14:09:31.000000,3.0,134.0,134.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n823,Julius,adefossez/julius,,audio,https://github.com/adefossez/julius,https://github.com/adefossez/julius,MIT,2020-10-26 10:54:21.000000,2021-10-20 08:30:11.000000,2021-10-20 08:28:45.000000,65.0,1.0,13,9.0,7.0,2.0,8.0,246.0,Fast PyTorch based DSP for audio and 1D signals.,2.0,16,False,2021-10-20 08:30:11.000000,0.2.6,10.0,julius,,,,['pytorch'],59.0,55.0,https://pypi.org/project/julius,2021-10-20 08:30:11.000000,4.0,7186.0,7186.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n824,Maze,enlite-ai/maze,,reinforcement-learning,https://github.com/enlite-ai/maze,https://github.com/enlite-ai/maze,Custom,2021-02-11 08:26:37.000000,2021-12-16 16:47:28.000000,2021-12-13 15:30:15.000000,947.0,515.0,5,7.0,24.0,1.0,2.0,200.0,Maze Applied Reinforcement Learning Framework.,3.0,16,False,2021-12-13 16:04:42.000000,0.1.8,20.0,maze-rl,,enliteai/maze,,['pytorch'],1.0,1.0,https://pypi.org/project/maze-rl,2021-12-13 16:04:42.000000,,83.0,104.0,,,,https://hub.docker.com/r/enliteai/maze,2021-06-24 21:00:27.801118,,235.0,3.0,,,,,,,,,,,,,,,,,,,,,\n825,pyRDF2Vec,IBCNServices/pyRDF2Vec,,graph,https://github.com/IBCNServices/pyRDF2Vec,https://github.com/IBCNServices/pyRDF2Vec,MIT,2019-06-13 11:36:12.000000,2021-11-08 12:31:08.000000,2021-11-08 12:31:08.000000,1143.0,7.0,24,14.0,13.0,3.0,44.0,137.0,Python Implementation and Extension of RDF2Vec.,5.0,16,False,2021-06-09 10:56:14.000000,0.2.3,11.0,pyrdf2vec,,,,,,,https://pypi.org/project/pyrdf2vec,2021-06-09 10:56:14.000000,,92.0,92.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n826,steppy,minerva-ml/steppy,,ml-experiments,https://github.com/minerva-ml/steppy,https://github.com/minerva-ml/steppy,MIT,2018-01-15 09:40:49.000000,2018-11-23 09:49:59.000000,2018-11-23 09:47:34.000000,69.0,,33,14.0,54.0,16.0,50.0,132.0,\"Lightweight, Python library for fast and reproducible experimentation.\",5.0,16,False,2018-11-23 09:49:59.000000,0.1.16,16.0,steppy,,,,,47.0,42.0,https://pypi.org/project/steppy,2018-11-23 09:49:59.000000,5.0,51.0,51.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n827,OpenKE,thunlp/OpenKE,,graph,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,MIT,2017-10-08 11:20:23.000000,2021-09-29 09:46:39.000000,2021-04-06 08:24:50.000000,113.0,,842,99.0,25.0,68.0,311.0,2881.0,An Open-Source Package for Knowledge Embedding (KE).,10.0,15,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n828,ZhuSuan,thu-ml/zhusuan,,probabilistics,https://github.com/thu-ml/zhusuan,https://github.com/thu-ml/zhusuan,MIT,2016-07-18 13:31:38.000000,2020-01-09 14:51:27.000000,2019-08-05 10:00:04.000000,439.0,,404,144.0,70.0,8.0,53.0,2099.0,\"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.\",20.0,15,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n829,Botflow,kkyon/botflow,,data-pipelines,https://github.com/kkyon/botflow,https://github.com/kkyon/botflow,BSD-3-Clause,2018-08-20 03:13:31.000000,2020-12-31 09:03:22.000000,2019-05-23 14:40:50.000000,192.0,,100,55.0,28.0,2.0,2.0,1178.0,\"Python Fast Dataflow programming framework for Data pipeline work( Web Crawler,Machine Learning,Quantitative..\",11.0,15,False,2018-09-14 14:38:32.000000,0.2.0,5.0,botflow,,,,,1.0,1.0,https://pypi.org/project/botflow,2018-09-14 14:38:32.000000,,37.0,37.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n830,Translate,pytorch/translate,,nlp,https://github.com/pytorch/translate,https://github.com/pytorch/translate,BSD-3-Clause,2018-04-24 16:44:04.000000,2021-10-06 18:21:48.000000,2021-10-06 18:21:42.000000,810.0,,171,44.0,667.0,66.0,27.0,720.0,Translate - a PyTorch Language Library.,87.0,15,True,,,1.0,pytorch-translate,,,,['pytorch'],,,https://pypi.org/project/pytorch-translate,2018-05-01 19:59:40.000000,,4.0,4.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n831,SpeedTorch,Santosh-Gupta/SpeedTorch,,gpu-utilities,https://github.com/Santosh-Gupta/SpeedTorch,https://github.com/Santosh-Gupta/SpeedTorch,MIT,2019-09-07 18:57:52.000000,2020-02-21 23:13:29.000000,2020-02-21 23:13:28.000000,170.0,,39,26.0,4.0,4.0,2.0,647.0,Library for faster pinned CPU - GPU transfer in Pytorch.,3.0,15,False,2020-01-06 05:27:17.000000,0.1.6,14.0,SpeedTorch,,,,['pytorch'],5.0,3.0,https://pypi.org/project/SpeedTorch,2020-01-06 05:27:17.000000,2.0,41.0,41.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n832,FlashTorch,MisaOgura/flashtorch,,interpretability,https://github.com/MisaOgura/flashtorch,https://github.com/MisaOgura/flashtorch,MIT,2019-03-22 13:00:57.000000,2021-06-30 12:46:02.000000,2021-04-27 11:10:20.000000,127.0,,76,18.0,14.0,10.0,22.0,637.0,Visualization toolkit for neural networks in PyTorch! Demo --.,2.0,15,True,2020-05-29 14:39:38.000000,0.1.3,12.0,flashtorch,,,,['pytorch'],9.0,9.0,https://pypi.org/project/flashtorch,2020-05-29 14:38:32.000000,,275.0,275.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n833,kglib,vaticle/kglib,,graph,https://github.com/vaticle/kglib,https://github.com/vaticle/kglib,Apache-2.0,2018-09-16 16:46:48.000000,2021-10-22 14:09:11.000000,2021-10-22 14:09:00.000000,488.0,1.0,86,34.0,98.0,12.0,49.0,484.0,Grakn Knowledge Graph Library (ML R&D).,7.0,15,True,2020-08-19 15:39:10.000000,0.2.2,7.0,grakn-kglib,,,,,,,https://pypi.org/project/grakn-kglib,2020-08-19 15:39:10.000000,,89.0,94.0,,,,,,,,3.0,211.0,,,,,,,,,,,,,,,,,,,,\n834,Adversary,airbnb/artificial-adversary,,adversarial,https://github.com/airbnb/artificial-adversary,https://github.com/airbnb/artificial-adversary,MIT,2018-08-08 04:42:11.000000,2022-01-07 11:24:14.000000,2018-08-29 15:31:30.000000,15.0,,51,21.0,6.0,6.0,,359.0,Tool to generate adversarial text examples and test machine learning models against them.,5.0,15,False,2018-08-29 15:14:41.000000,1.1.1,3.0,Adversary,,,,,7.0,6.0,https://pypi.org/project/Adversary,2018-08-29 15:14:41.000000,1.0,35.0,35.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n835,interpret-text,interpretml/interpret-text,,interpretability,https://github.com/interpretml/interpret-text,https://github.com/interpretml/interpret-text,MIT,2019-09-04 16:39:48.000000,2021-12-07 15:12:02.000000,2021-12-06 17:38:41.000000,146.0,3.0,53,18.0,137.0,58.0,16.0,294.0,A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the..,17.0,15,False,2021-12-07 15:12:02.000000,0.1.3,5.0,interpret-text,,,,['jupyter'],,,https://pypi.org/project/interpret-text,2021-12-07 01:57:31.000000,,81.0,81.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n836,ExplainX.ai,explainX/explainx,,interpretability,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15.000000,2022-01-07 00:02:17.000000,2021-02-02 09:03:57.000000,184.0,,37,8.0,12.0,10.0,17.0,274.0,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,4.0,15,False,2021-02-07 11:06:21.000000,2.407,56.0,explainx,,,,,,,https://pypi.org/project/explainx,2021-02-04 16:44:24.000000,,534.0,534.0,,,,,,,,3.0,2.0,,,,,,,,,,,,,,,,,,,,\n837,NeuralQA,victordibia/neuralqa,,nlp,https://github.com/victordibia/neuralqa,https://github.com/victordibia/neuralqa,MIT,2020-05-19 03:55:56.000000,2021-11-10 19:59:22.000000,2020-12-16 17:41:37.000000,312.0,,31,5.0,53.0,31.0,8.0,219.0,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,3.0,15,False,,,27.0,neuralqa,,,,,3.0,3.0,https://pypi.org/project/neuralqa,2020-09-18 17:54:50.000000,,59.0,59.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n838,Parfit,jmcarpenter2/parfit,,hyperopt,https://github.com/jmcarpenter2/parfit,https://github.com/jmcarpenter2/parfit,MIT,2017-11-22 20:17:51.000000,2020-04-04 19:26:44.000000,2020-04-04 19:26:37.000000,127.0,,25,4.0,4.0,6.0,5.0,199.0,\"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..\",2.0,15,False,,,23.0,parfit,,,,['sklearn'],9.0,9.0,https://pypi.org/project/parfit,2018-10-11 22:03:16.000000,,12590.0,12590.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n839,ipyexperiments,stas00/ipyexperiments,,gpu-utilities,https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40.000000,2021-12-07 18:50:39.000000,2021-12-07 18:50:38.000000,203.0,6.0,10,6.0,2.0,1.0,5.0,143.0,jupyter/ipython experiment containers for GPU and general RAM re-use.,3.0,15,False,2021-12-07 18:44:34.000000,0.1.28,24.0,ipyexperiments,,,,['jupyter'],7.0,5.0,https://pypi.org/project/ipyexperiments,2021-12-07 18:44:34.000000,2.0,134.0,134.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n840,dabl,amueller/dabl,,sklearn-utils,https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49.000000,2021-07-09 20:34:09.000000,2021-07-09 18:47:52.000000,275.0,,9,3.0,3.0,1.0,,113.0,Data Analysis Baseline Library.,21.0,15,False,2021-07-09 19:20:43.000000,0.2.2,12.0,dabl,,,,['sklearn'],,,https://pypi.org/project/dabl,2021-07-09 19:20:43.000000,,2036.0,2036.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n841,nptsne,biovault/nptsne,,data-viz,https://github.com/biovault/nptsne,https://github.com/biovault/nptsne,Apache-2.0,2019-06-28 08:40:25.000000,2021-12-23 19:59:24.000000,2021-02-03 08:52:27.000000,857.0,,2,3.0,1.0,7.0,5.0,27.0,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,3.0,15,False,2021-12-23 15:53:08.000000,1.2.0,3.0,nptsne,,,,,3.0,3.0,https://pypi.org/project/nptsne,2021-12-23 15:53:08.000000,,347.0,347.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n842,GraphSAGE,williamleif/GraphSAGE,,graph,https://github.com/williamleif/GraphSAGE,https://github.com/williamleif/GraphSAGE,MIT,2017-05-29 15:36:22.000000,2021-08-25 15:01:46.000000,2018-09-19 19:27:00.000000,59.0,,722,74.0,25.0,96.0,59.0,2609.0,Representation learning on large graphs using stochastic graph convolutions.,9.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n843,micrograd,karpathy/micrograd,,pytorch-utils,https://github.com/karpathy/micrograd,https://github.com/karpathy/micrograd,MIT,2020-04-13 04:31:18.000000,2021-06-24 12:28:13.000000,2020-04-18 19:15:25.000000,24.0,,146,48.0,8.0,2.0,3.0,1872.0,A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.,2.0,14,False,2020-04-18 19:06:59.000000,0.1.0,1.0,micrograd,,,,['pytorch'],5.0,4.0,https://pypi.org/project/micrograd,2020-04-18 19:06:59.000000,1.0,30.0,30.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n844,OpenNE,thunlp/OpenNE,,graph,https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20.000000,2021-09-15 14:38:30.000000,2019-08-12 10:56:27.000000,98.0,,465,66.0,22.0,50.0,94.0,1534.0,An Open-Source Package for Network Embedding (NE).,10.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n845,Medical Detection Toolkit,MIC-DKFZ/medicaldetectiontoolkit,,medical-data,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,Apache-2.0,2018-10-12 12:34:57.000000,2022-01-13 05:17:27.000000,2021-09-09 14:14:04.000000,40.0,,275,52.0,11.0,40.0,85.0,1077.0,\"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..\",3.0,14,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n846,Torch-Struct,harvardnlp/pytorch-struct,,pytorch-utils,https://github.com/harvardnlp/pytorch-struct,https://github.com/harvardnlp/pytorch-struct,MIT,2019-08-26 19:34:30.000000,2022-01-02 11:17:39.000000,2021-11-04 18:34:31.000000,268.0,1.0,80,32.0,72.0,24.0,28.0,1016.0,\"Fast, general, and tested differentiable structured prediction in PyTorch.\",14.0,14,True,2021-02-15 20:20:59.000000,0.5,2.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n847,madgrad,facebookresearch/madgrad,,pytorch-utils,https://github.com/facebookresearch/madgrad,https://github.com/facebookresearch/madgrad,MIT,2021-01-12 19:41:06.000000,2021-08-20 18:31:57.000000,2021-08-20 18:31:57.000000,13.0,,52,19.0,1.0,2.0,7.0,750.0,MADGRAD Optimization Method.,1.0,14,True,,,2.0,madgrad,,,,['pytorch'],20.0,20.0,https://pypi.org/project/madgrad,2021-04-01 13:54:29.000000,,3638.0,3638.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n848,atspy,firmai/atspy,,time-series-data,https://github.com/firmai/atspy,https://github.com/firmai/atspy,MIT,2020-01-28 05:00:10.000000,2021-12-18 09:26:18.000000,2021-12-18 09:26:18.000000,99.0,1.0,80,21.0,13.0,18.0,2.0,404.0,AtsPy: Automated Time Series Models in Python (by @firmai).,5.0,14,True,2020-11-12 16:10:48.000000,zen,39.0,atspy,,,,,5.0,5.0,https://pypi.org/project/atspy,2020-04-24 18:16:15.000000,,1088.0,1088.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n849,VizSeq,facebookresearch/vizseq,,nlp,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38.000000,2021-09-14 21:59:53.000000,2021-09-02 03:19:31.000000,55.0,,44,16.0,41.0,7.0,9.0,377.0,\"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).\",3.0,14,True,2020-08-07 01:13:52.000000,0.1.15,16.0,vizseq,,,,,3.0,3.0,https://pypi.org/project/vizseq,2020-08-07 01:13:52.000000,,73.0,73.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n850,Headliner,as-ideas/headliner,,nlp,https://github.com/as-ideas/headliner,https://github.com/as-ideas/headliner,MIT,2019-09-30 11:33:28.000000,2021-03-26 07:19:57.000000,2020-02-14 09:03:27.000000,276.0,,41,16.0,7.0,1.0,13.0,230.0,Easy training and deployment of seq2seq models.,2.0,14,False,2020-01-24 09:06:29.000000,1.0.2,30.0,headliner,,,,,4.0,3.0,https://pypi.org/project/headliner,2020-01-24 09:06:29.000000,1.0,142.0,142.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n851,tsaug,arundo/tsaug,,time-series-data,https://github.com/arundo/tsaug,https://github.com/arundo/tsaug,Apache-2.0,2019-09-27 00:38:05.000000,2020-04-17 02:55:58.000000,2020-04-17 02:46:38.000000,10.0,,24,10.0,7.0,7.0,3.0,222.0,A Python package for time series augmentation.,4.0,14,False,2020-04-17 02:50:25.000000,0.2.1,4.0,tsaug,,,,,,,https://pypi.org/project/tsaug,2020-04-17 02:50:25.000000,,2089.0,2089.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n852,numerizer,jaidevd/numerizer,,nlp,https://github.com/jaidevd/numerizer,https://github.com/jaidevd/numerizer,MIT,2019-12-02 07:00:34.000000,2022-01-07 06:54:29.000000,2022-01-07 06:54:29.000000,18.0,1.0,12,4.0,7.0,2.0,4.0,134.0,A Python module to convert natural language numerics into ints and floats.,3.0,14,False,2021-04-03 04:33:45.000000,0.2.0,8.0,numerizer,,,,,17.0,17.0,https://pypi.org/project/numerizer,2021-04-03 04:33:45.000000,,3139.0,3139.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n853,ENAS,carpedm20/ENAS-pytorch,,hyperopt,https://github.com/carpedm20/ENAS-pytorch,https://github.com/carpedm20/ENAS-pytorch,Apache-2.0,2018-02-15 04:54:37.000000,2020-12-09 18:13:03.000000,2020-06-16 07:23:32.000000,53.0,,464,113.0,11.0,37.0,7.0,2516.0,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,6.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n854,traingenerator,jrieke/traingenerator,,others,https://github.com/jrieke/traingenerator,https://github.com/jrieke/traingenerator,MIT,2020-12-03 16:47:16.000000,2021-06-28 17:42:41.000000,2021-04-29 13:46:13.000000,117.0,,156,37.0,9.0,13.0,3.0,1124.0,A web app to generate template code for machine learning.,3.0,13,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n855,BLINK,facebookresearch/BLINK,,nlp,https://github.com/facebookresearch/BLINK,https://github.com/facebookresearch/BLINK,MIT,2019-09-25 21:27:44.000000,2021-10-28 02:39:25.000000,2021-04-02 03:03:34.000000,211.0,,141,37.0,30.0,48.0,29.0,776.0,Entity Linker solution.,16.0,13,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n856,TransferNLP,feedly/transfer-nlp,,nlp,https://github.com/feedly/transfer-nlp,https://github.com/feedly/transfer-nlp,MIT,2019-03-12 20:00:31.000000,2020-05-28 19:00:02.000000,2020-05-28 17:31:53.000000,465.0,,18,13.0,57.0,4.0,20.0,288.0,NLP library designed for reproducible experimentation management.,7.0,13,False,2020-05-28 19:00:02.000000,0.1.6,8.0,transfer-nlp,,,,['pytorch'],,,https://pypi.org/project/transfer-nlp,2020-05-28 19:00:02.000000,,69.0,69.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n857,backprop,backprop-ai/backprop,,model-serialisation,https://github.com/backprop-ai/backprop,https://github.com/backprop-ai/backprop,Apache-2.0,2020-10-30 15:25:14.000000,2021-05-03 09:15:25.000000,2021-05-03 09:15:21.000000,219.0,,12,16.0,14.0,4.0,4.0,221.0,\"Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.\",8.0,13,False,2021-04-20 13:53:12.000000,0.1.2,14.0,backprop,,,,,,,https://pypi.org/project/backprop,2021-04-20 13:53:12.000000,,101.0,101.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n858,ONNX-T5,abelriboulot/onnxt5,,nlp,https://github.com/abelriboulot/onnxt5,https://github.com/abelriboulot/onnxt5,Apache-2.0,2020-08-01 09:38:35.000000,2021-01-28 09:26:15.000000,2021-01-28 09:24:52.000000,74.0,,23,7.0,4.0,6.0,8.0,191.0,\"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..\",3.0,13,False,2021-01-28 09:26:15.000000,0.1.8,11.0,onnxt5,,,,,,,https://pypi.org/project/onnxt5,2021-01-28 09:26:15.000000,,61.0,61.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n859,Auptimizer,LGE-ARC-AdvancedAI/auptimizer,,hyperopt,https://github.com/LGE-ARC-AdvancedAI/auptimizer,https://github.com/LGE-ARC-AdvancedAI/auptimizer,GPL-3.0,2019-09-12 01:08:37.000000,2021-11-10 20:14:57.000000,2021-03-03 01:30:06.000000,79.0,,21,21.0,16.0,1.0,5.0,181.0,An automatic ML model optimization tool.,11.0,13,False,2021-03-03 02:00:23.000000,2.0,7.0,auptimizer,,,,,,,https://pypi.org/project/auptimizer,2021-03-02 02:40:32.000000,,56.0,56.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n860,textvec,textvec/textvec,,nlp,https://github.com/textvec/textvec,https://github.com/textvec/textvec,MIT,2018-04-12 14:03:53.000000,2020-12-03 14:23:11.000000,2020-12-03 14:23:04.000000,70.0,,21,8.0,14.0,3.0,6.0,180.0,Text vectorization tool to outperform TFIDF for classification tasks.,4.0,13,False,2019-09-12 07:41:04.000000,2.0,4.0,textvec,,,,['sklearn'],4.0,4.0,https://pypi.org/project/textvec,2020-12-03 14:17:09.000000,,40.0,40.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n861,ModelChimp,ModelChimp/modelchimp,,ml-experiments,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03.000000,2022-01-13 00:56:56.000000,2021-08-01 07:11:57.000000,363.0,,12,3.0,874.0,4.0,10.0,124.0,Experiment tracking for machine and deep learning projects.,3.0,13,False,2019-04-09 10:43:15.000000,0.4.0,37.0,modelchimp,,modelchimp/modelchimp-server,,,,,https://pypi.org/project/modelchimp,2019-04-09 10:41:20.000000,,96.0,113.0,,,,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,650.0,3.0,,,,,,,,,,,,,,,,,,,,,\n862,DeepNeuro,QTIM-Lab/DeepNeuro,,medical-data,https://github.com/QTIM-Lab/DeepNeuro,https://github.com/QTIM-Lab/DeepNeuro,MIT,2017-06-01 19:36:34.000000,2020-06-24 13:00:15.000000,2020-06-24 13:00:14.000000,285.0,,34,15.0,18.0,27.0,16.0,108.0,A deep learning python package for neuroimaging data. Made by:.,6.0,13,False,2019-06-10 21:04:04.000000,0.2.3,6.0,deepneuro,,,,,1.0,1.0,https://pypi.org/project/deepneuro,2019-06-10 21:04:04.000000,,32.0,32.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n863,Torch Points 3D,nicolas-chaulet/torch-points3d,,image,https://github.com/nicolas-chaulet/torch-points3d,https://github.com/nicolas-chaulet/torch-points3d,BSD-3-Clause,2022-01-09 14:41:37.000000,2021-12-10 20:17:18.000000,2021-12-10 20:17:18.000000,1788.0,16.0,1,,,,,1.0,Pytorch framework for doing deep learning on point clouds.,29.0,13,False,2021-04-30 09:00:22.000000,1.3.0,14.0,torch-points3d,,,,['pytorch'],,,https://pypi.org/project/torch-points3d,2021-04-30 09:00:22.000000,,666.0,666.0,,,,,,,,3.0,,,-12.0,,,,,,,,,,,,,,,,,,\n864,surpriver,tradytics/surpriver,,financial-data,https://github.com/tradytics/surpriver,https://github.com/tradytics/surpriver,GPL-3.0,2020-08-30 07:56:22.000000,2021-08-13 08:02:31.000000,2020-09-21 04:32:05.000000,64.0,,257,85.0,11.0,10.0,6.0,1401.0,Find big moving stocks before they move using machine learning and anomaly detection.,6.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n865,MedicalNet,Tencent/MedicalNet,,medical-data,https://github.com/Tencent/MedicalNet,https://github.com/Tencent/MedicalNet,MIT,2019-07-17 09:53:10.000000,2021-09-16 22:05:49.000000,2020-08-27 13:37:26.000000,26.0,,334,65.0,4.0,50.0,14.0,1307.0,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,1.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n866,GraphVite,DeepGraphLearning/graphvite,,graph,https://github.com/DeepGraphLearning/graphvite,https://github.com/DeepGraphLearning/graphvite,Apache-2.0,2019-07-16 15:48:20.000000,2021-01-14 02:19:03.000000,2021-01-14 02:18:46.000000,15.0,,133,29.0,,36.0,56.0,988.0,GraphVite: A General and High-performance Graph Embedding System.,1.0,12,True,,,4.0,,milagraph/graphvite,,,,,,,,,,143.0,https://anaconda.org/milagraph/graphvite,2020-03-19 18:21:30.972000,4150.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n867,TorchDrift,torchdrift/torchdrift,,pytorch-utils,https://github.com/TorchDrift/TorchDrift,https://github.com/TorchDrift/TorchDrift,Apache-2.0,2021-02-10 09:27:48.000000,2021-06-29 11:52:29.000000,2021-06-29 11:52:29.000000,33.0,,5,10.0,4.0,2.0,5.0,191.0,Drift Detection for your PyTorch Models.,2.0,12,False,2021-03-08 12:21:48.000000,0.1.0,3.0,torchdrift,,,,['pytorch'],12.0,12.0,https://pypi.org/project/torchdrift,2021-03-08 12:51:05.000000,,13.0,13.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n868,dstack,dstackai/dstack,,others,https://github.com/dstackai/dstack,https://github.com/dstackai/dstack,Apache-2.0,2020-06-22 09:03:03.000000,2021-12-30 13:48:30.000000,,,,11,,,21.0,,183.0,An open-source tool to rapidly develop data applications with Python.,2.0,12,False,2021-03-23 15:46:40.000000,0.6.5,37.0,dstack,,,,,,,https://pypi.org/project/dstack,2021-12-30 13:48:30.000000,,182.0,182.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n869,Hypermax,electricbrainio/hypermax,,hyperopt,https://github.com/electricbrainio/hypermax,https://github.com/electricbrainio/hypermax,BSD-3-Clause,2018-07-27 18:43:01.000000,2020-08-02 18:08:50.000000,2020-08-02 18:08:46.000000,207.0,,14,12.0,5.0,3.0,2.0,99.0,\"Better, faster hyper-parameter optimization.\",9.0,12,False,2019-10-23 15:40:12.000000,0.5.1,11.0,hypermax,,,,,4.0,4.0,https://pypi.org/project/hypermax,2019-10-23 15:40:12.000000,,57.0,57.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n870,Attribution Priors,suinleelab/attributionpriors,,interpretability,https://github.com/suinleelab/attributionpriors,https://github.com/suinleelab/attributionpriors,MIT,2019-06-24 23:54:24.000000,2021-03-19 19:43:58.000000,2021-03-19 19:43:51.000000,72.0,,10,5.0,,1.0,3.0,91.0,Tools for training explainable models using attribution priors.,6.0,12,False,2021-03-16 17:47:18.000000,1.0.0,4.0,attributionpriors,,,,\"['tensorflow', 'pytorch']\",3.0,3.0,https://pypi.org/project/attributionpriors,2019-10-31 18:03:05.000000,,49.0,49.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n871,contextual-ai,SAP/contextual-ai,,interpretability,https://github.com/SAP/contextual-ai,https://github.com/SAP/contextual-ai,Apache-2.0,2020-05-12 07:15:56.000000,2021-11-11 10:54:41.000000,2021-11-11 10:53:33.000000,630.0,1.0,9,11.0,19.0,4.0,11.0,77.0,\"Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference -..\",12.0,12,False,2021-01-25 04:56:57.000000,0.0.2,2.0,contextual-ai,,,,,,,https://pypi.org/project/contextual-ai,2021-01-25 04:56:57.000000,,86.0,86.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n872,LazyCluster,ml-tooling/lazycluster,,distributed-ml,https://github.com/ml-tooling/lazycluster,https://github.com/ml-tooling/lazycluster,Apache-2.0,2019-08-07 08:05:13.000000,2021-09-16 02:14:06.000000,2021-08-19 13:59:11.000000,444.0,,8,5.0,13.0,,,43.0,Distributed machine learning made simple.,2.0,12,False,2020-12-14 15:25:59.000000,0.2.4,5.0,lazycluster,,,,,8.0,8.0,https://pypi.org/project/lazycluster,2020-12-14 14:49:33.000000,,54.0,54.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n873,bias-detector,intuit/bias-detector,,interpretability,https://github.com/intuit/bias-detector,https://github.com/intuit/bias-detector,MIT,2021-02-02 16:58:52.000000,2021-12-20 16:28:25.000000,2021-12-20 16:28:25.000000,121.0,5.0,9,11.0,15.0,,,37.0,Bias Detector is a python package for detecting bias in machine learning models.,4.0,12,False,2021-04-22 15:20:54.000000,0.0.12,11.0,bias-detector,,,,,,,https://pypi.org/project/bias-detector,2021-04-22 15:20:54.000000,,62.0,62.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n874,Lea,,,probabilistics,,http://bitbucket.org/piedenis/lea,GPL-3.0,,2021-12-05 19:02:53.000000,,,,3,,,,,,Discrete probability distributions in Python.,,12,False,2021-12-05 19:02:53.000000,3.4.1,51.0,lea,,,,,23.0,,https://pypi.org/project/lea,2021-12-05 19:02:53.000000,23.0,2520.0,2520.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,piedenis/lea\n875,model_search,google/model_search,,hyperopt,https://github.com/google/model_search,https://github.com/google/model_search,Apache-2.0,2021-01-19 18:26:34.000000,2021-07-26 12:43:38.000000,2021-03-17 17:06:04.000000,8.0,,308,97.0,13.0,35.0,15.0,3174.0,AutoML algorithms for model architecture search at scale.,1.0,11,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n876,Devol,joeddav/devol,,hyperopt,https://github.com/joeddav/devol,https://github.com/joeddav/devol,MIT,2017-02-10 03:07:54.000000,2020-07-05 21:56:59.000000,2020-07-05 21:56:58.000000,116.0,,109,44.0,12.0,7.0,20.0,935.0,Genetic neural architecture search with Keras.,18.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n877,PySparNN,facebookresearch/pysparnn,,nn-search,https://github.com/facebookresearch/pysparnn,https://github.com/facebookresearch/pysparnn,BSD-3-Clause,2016-03-28 20:43:42.000000,2020-10-02 06:01:01.000000,2018-01-31 16:50:23.000000,147.0,,143,41.0,7.0,15.0,14.0,892.0,Approximate Nearest Neighbor Search for Sparse Data in Python!.,5.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n878,deltapy,firmai/deltapy,,tabular,https://github.com/firmai/deltapy,https://github.com/firmai/deltapy,MIT,2020-04-08 05:27:53.000000,2021-12-18 09:25:30.000000,2021-12-18 09:25:30.000000,41.0,2.0,40,14.0,2.0,2.0,1.0,398.0,DeltaPy - Tabular Data Augmentation (by @firmai).,4.0,11,True,2020-11-12 16:13:21.000000,zen,11.0,deltapy,,,,,2.0,2.0,https://pypi.org/project/deltapy,2020-04-09 01:48:32.000000,,52.0,52.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n879,autodist,petuum/autodist,,distributed-ml,https://github.com/petuum/autodist,https://github.com/petuum/autodist,Apache-2.0,2020-06-29 19:45:38.000000,2021-04-12 21:55:36.000000,2021-01-28 00:04:40.000000,208.0,,22,17.0,49.0,11.0,1.0,116.0,Simple Distributed Deep Learning on TensorFlow.,11.0,11,False,,,2.0,autodist,,,,['tensorflow'],,,https://pypi.org/project/autodist,2020-07-16 05:36:19.000000,,31.0,31.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n880,nylon,Palashio/nylon,,others,https://github.com/Palashio/nylon,https://github.com/Palashio/nylon,MIT,2021-06-04 17:33:49.000000,2021-07-29 20:34:04.000000,2021-07-23 19:37:10.000000,185.0,,9,5.0,4.0,14.0,18.0,76.0,\"An intelligent, flexible grammar of machine learning.\",3.0,11,False,2021-06-25 14:27:32.000000,0.0.7,8.0,nylon-ai,,,,,1.0,1.0,https://pypi.org/project/nylon-ai,2021-06-25 14:27:32.000000,,9.0,9.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n881,PandaPy,firmai/pandapy,,data-containers,https://github.com/firmai/pandapy,https://github.com/firmai/pandapy,MIT,2020-01-15 18:21:23.000000,2021-10-20 11:36:04.000000,2021-10-20 11:36:04.000000,85.0,1.0,56,19.0,2.0,2.0,1.0,491.0,PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai).,3.0,10,True,2020-11-12 16:12:54.000000,zen,22.0,pandapy,,,,['pandas'],1.0,1.0,https://pypi.org/project/pandapy,2020-01-25 23:10:32.000000,,70.0,70.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n882,Mozart,aashrafh/Mozart,,ocr,https://github.com/aashrafh/Mozart,https://github.com/aashrafh/Mozart,Apache-2.0,2020-12-14 11:49:14.000000,2021-05-05 17:21:44.000000,2021-05-05 17:21:44.000000,60.0,,49,15.0,5.0,3.0,6.0,346.0,An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.,5.0,10,True,,,,,,,,['sklearn'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n883,Hypertunity,gdikov/hypertunity,,hyperopt,https://github.com/gdikov/hypertunity,https://github.com/gdikov/hypertunity,Apache-2.0,2019-06-02 12:04:55.000000,2020-01-26 23:14:49.000000,2020-01-26 22:53:29.000000,64.0,,9,9.0,44.0,,2.0,120.0,A toolset for black-box hyperparameter optimisation.,2.0,9,False,2020-01-26 23:08:16.000000,1.0.1,7.0,hypertunity,,,,,2.0,2.0,https://pypi.org/project/hypertunity,2020-01-26 23:08:16.000000,,24.0,24.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n884,spacy-dbpedia-spotlight,MartinoMensio/spacy-dbpedia-spotlight,,nlp,https://github.com/MartinoMensio/spacy-dbpedia-spotlight,https://github.com/MartinoMensio/spacy-dbpedia-spotlight,MIT,2020-04-29 19:35:04.000000,2022-01-10 16:28:50.000000,2022-01-10 16:28:50.000000,15.0,2.0,6,6.0,1.0,4.0,2.0,48.0,A spaCy wrapper for DBpedia Spotlight.,2.0,9,False,2021-04-12 13:25:07.000000,0.2.1,6.0,spacy-dbpedia-spotlight,,,,['spacy'],,,https://pypi.org/project/spacy-dbpedia-spotlight,2021-04-09 13:21:45.000000,,133.0,133.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n885,traintool,jrieke/traintool,,ml-experiments,https://github.com/jrieke/traintool,https://github.com/jrieke/traintool,Apache-2.0,2020-09-30 22:23:05.000000,2021-03-12 01:44:04.000000,2021-03-12 01:43:14.000000,122.0,,1,3.0,,,,9.0,Train off-the-shelf machine learning models in one line of code.,,8,False,2020-11-02 02:25:32.000000,0.0.3,3.0,traintool,,,,\"['pytorch', 'tensorflow', 'sklearn']\",,,https://pypi.org/project/traintool,2020-11-02 02:25:32.000000,,10.0,10.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n"
  },
  {
    "path": "history/2022-02-10_changes.md",
    "content": "## 📈 Trending Up\n\n_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._\n\n- <b><a href=\"https://github.com/open-mmlab/mmdetection\">MMDetection</a></b> (🥇37 ·  ⭐ 18K · 📈) - OpenMMLab Detection Toolbox and Benchmark. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/mozilla/DeepSpeech\">DeepSpeech</a></b> (🥇33 ·  ⭐ 19K · 📈) - DeepSpeech is an open source embedded (offline, on-.. <code><a href=\"http://bit.ly/3postzC\">MPL-2.0</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/microsoft/recommenders\">Recommenders</a></b> (🥇32 ·  ⭐ 12K · 📈) - Best Practices on Recommendation Systems. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/ludwig-ai/ludwig\">Ludwig</a></b> (🥉32 ·  ⭐ 8.1K · 📈) - Data-centric declarative deep learning framework. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/online-ml/river\">River</a></b> (🥈30 ·  ⭐ 3.2K · 📈) - Online machine learning in Python. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/deepmind/dm-haiku\">Haiku</a></b> (🥉29 ·  ⭐ 1.7K · 📈) - JAX-based neural network library. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/autonomio/talos\">Talos</a></b> (🥈26 ·  ⭐ 1.5K · 📈) - Hyperparameter Optimization for TensorFlow, Keras and PyTorch. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/google-research/torchsde\">torchsde</a></b> (🥉21 ·  ⭐ 910 · 💤) - Differentiable SDE solvers with GPU support and efficient.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/tensorflow/compression\">TF Compression</a></b> (🥉21 ·  ⭐ 580 · 📈) - Data compression in TensorFlow. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/harvardnlp/pytorch-struct\">Torch-Struct</a></b> (🥉18 ·  ⭐ 1K · 📈) - Fast, general, and tested differentiable structured.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n\n## 📉 Trending Down\n\n_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._\n\n- <b><a href=\"https://github.com/tensorflow/tensor2tensor\">tensor2tensor</a></b> (🥈33 ·  ⭐ 12K · 📉) - Library of deep learning models and datasets designed.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/carla-simulator/carla\">carla</a></b> (🥈31 ·  ⭐ 7.2K · 📉) - Open-source simulator for autonomous driving research. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/scikit-learn-contrib/category_encoders\">category_encoders</a></b> (🥈31 ·  ⭐ 1.8K · 📉) - A library of sklearn compatible categorical variable.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/snowballstem/snowball\">snowballstemmer</a></b> (🥈30 ·  ⭐ 540 · 📉) - Snowball compiler and stemming algorithms. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/bentoml/BentoML\">BentoML</a></b> (🥈27 ·  ⭐ 3.2K · 📉) - The Unified Model Serving Framework. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/tensorforce/tensorforce\">TensorForce</a></b> (🥉27 ·  ⭐ 3.1K · 📉) - Tensorforce: a TensorFlow library for applied.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/FederatedAI/FATE\">FATE</a></b> (🥉25 ·  ⭐ 3.9K · 📉) - An Industrial Grade Federated Learning Framework. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/fastnlp/fastNLP\">fastNLP</a></b> (🥉25 ·  ⭐ 2.5K · 📉) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/maxpumperla/elephas\">Elephas</a></b> (🥉25 ·  ⭐ 1.5K · 📉) - Distributed Deep learning with Keras & Spark. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code>keras</code> <code><img src=\"https://git.io/JLy1N\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/pavlin-policar/openTSNE\">openTSNE</a></b> (🥉24 ·  ⭐ 940 · 📉) - Extensible, parallel implementations of t-SNE. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n\n## ➕ Added Projects\n\n_Projects that were recently added to this best-of list._\n\n- <b><a href=\"https://github.com/openai/triton\">triton</a></b> (🥈28 ·  ⭐ 3.5K · ➕) - Development repository for the Triton language and compiler. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/Adapter-Hub/adapter-transformers\">adapter-transformers</a></b> (🥈28 ·  ⭐ 660 · ➕) - Huggingface Transformers + Adapters =. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code>huggingface</code>\n- <b><a href=\"https://github.com/pandera-dev/pandera\">pandera</a></b> (🥉27 ·  ⭐ 1K · ➕) - A light-weight, flexible, and expressive data validation library.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1S\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/microsoft/SynapseML\">SynapseML</a></b> (🥉26 ·  ⭐ 3.1K · ➕) - Simple and Distributed Machine Learning. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/airctic/icevision\">icevision</a></b> (🥉25 ·  ⭐ 580 · ➕) - An Agnostic Computer Vision Framework - Pluggable to any.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/obss/sahi\">sahi</a></b> (🥉24 ·  ⭐ 540 · ➕) - A lightweight vision library for performing large scale object detection/.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/recognai/rubrix\">rubrix</a></b> (🥉23 ·  ⭐ 840 · ➕) - Python framework for data-centric NLP. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/jina-ai/docarray\">docarray</a></b> (🥉23 ·  ⭐ 520 · 🐣) - The data structure for unstructured data. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/Project-MONAI/MONAILabel\">MONAILabel</a></b> (🥉23 ·  ⭐ 200 · ➕) - MONAI Label is an intelligent open source image labeling and.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/mchaput/whoosh\">whoosh</a></b> (🥉23 ·  ⭐ 190 · ➕) - Pure-Python full-text search library. <code><a href=\"https://tldrlegal.com/search?q=BSD-1-Clause\">❗️BSD-1-Clause</a></code>\n- <b><a href=\"https://github.com/EricFillion/happy-transformer\">happy-transformer</a></b> (🥉22 ·  ⭐ 260 · ➕) - A package built on top of Hugging Faces transformers.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code>huggingface</code>\n- <b><a href=\"https://github.com/thunlp/OpenPrompt\">OpenPrompt</a></b> (🥉21 ·  ⭐ 1.1K · 🐣) - An Open-Source Framework for Prompt-Learning. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/unitaryai/detoxify\">detoxify</a></b> (🥉21 ·  ⭐ 380 · ➕) - Trained models & code to predict toxic comments on all 3 Jigsaw.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/Parisson/TimeSide\">TimeSide</a></b> (🥉21 ·  ⭐ 310 · 💤) - Scalable audio processing framework written in Python with a.. <code><a href=\"http://bit.ly/3pwmjO5\">❗️AGPL-3.0</a></code>\n- <b><a href=\"https://github.com/qdrant/qdrant\">qdrant</a></b> (🥉20 ·  ⭐ 1.1K · ➕) - Qdrant - vector similarity search engine with extended filtering.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/deepmind/jraph\">jraph</a></b> (🥉20 ·  ⭐ 820 · ➕) - A Graph Neural Network Library in Jax. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://jax.readthedocs.io/en/latest/_static/favicon.png\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/KomputeProject/kompute\">kompute</a></b> (🥉20 ·  ⭐ 750 · ➕) - General purpose GPU compute framework built on Vulkan to support.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/snap-stanford/deepsnap\">deepsnap</a></b> (🥉20 ·  ⭐ 390 · ➕) - Python library assists deep learning on graphs. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/SerpentAI/SerpentAI\">SerpentAI</a></b> (🥉19 ·  ⭐ 6.2K · 💀) - Game Agent Framework. Helping you create AIs / Bots that learn to.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/gradsflow/chitra\">chitra</a></b> (🥉19 ·  ⭐ 180 · ➕) - A multi-functional library for full-stack Deep Learning... <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/marceloprates/prettymaps\">prettymaps</a></b> (🥉18 ·  ⭐ 7.7K · ➕) - A small set of Python functions to draw pretty maps from.. <code><a href=\"http://bit.ly/3pwmjO5\">❗️AGPL-3.0</a></code>\n- <b><a href=\"https://github.com/szagoruyko/pytorchviz\">pytorchviz</a></b> (🥉18 ·  ⭐ 2.1K · 💤) - A small package to create visualizations of PyTorch execution.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/fmilthaler/FinQuant\">FinQuant</a></b> (🥉18 ·  ⭐ 720 · 💀) - A program for financial portfolio management, analysis and.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/tunib-ai/parallelformers\">parallelformers</a></b> (🥉18 ·  ⭐ 440 · ➕) - Parallelformers: An Efficient Model Parallelization.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/patrick-kidger/equinox\">equinox</a></b> (🥇18 ·  ⭐ 260 · ➕) - Callable PyTrees and filtered JIT/grad transformations =.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://jax.readthedocs.io/en/latest/_static/favicon.png\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/google-research/scenic\">scenic</a></b> (🥉17 ·  ⭐ 720 · ➕) - Scenic: A Jax Library for Computer Vision Research and Beyond. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://jax.readthedocs.io/en/latest/_static/favicon.png\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/kingoflolz/mesh-transformer-jax\">mesh-transformer-jax</a></b> (🥉16 ·  ⭐ 3.8K · ➕) - Model parallel transformers in JAX and Haiku. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://jax.readthedocs.io/en/latest/_static/favicon.png\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/microsoft/ptgnn\">ptgnn</a></b> (🥉16 ·  ⭐ 300 · ➕) - A PyTorch Graph Neural Network Library. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/facebookresearch/NeuralCompression\">NeuralCompression</a></b> (🥉16 ·  ⭐ 240 · ➕) - A collection of tools for neural compression enthusiasts. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/upgini/upgini\">upgini</a></b> (🥉15 ·  ⭐ 21 · 🐣) - Automated feature discovery & enrichment library automatically find.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/snap-stanford/GraphGym\">GraphGym</a></b> (🥉14 ·  ⭐ 880 · ➕) - Platform for designing and evaluating Graph Neural Networks (GNN). <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/google/caliban\">caliban</a></b> (🥉14 ·  ⭐ 410 · 💀) - Research workflows made easy, locally and in the Cloud. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/qanastek/HugsVision\">HugsVision</a></b> (🥉14 ·  ⭐ 140 · 🐣) - HugsVision is a easy to use huggingface wrapper for state-of-.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code>huggingface</code>\n- <b><a href=\"https://github.com/vincentclaes/datajob\">datajob</a></b> (🥉14 ·  ⭐ 83 · ➕) - Build and deploy a serverless data pipeline on AWS with no effort. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/google-research/rliable\">rliable</a></b> (🥉11 ·  ⭐ 310 · 🐣) - Library for reliable evaluation on RL and ML benchmarks, as.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/ucl-bug/jaxdf\">jaxdf</a></b> (🥉8 ·  ⭐ 43 · 🐣) - A JAX-based research framework for writing differentiable.. <code><a href=\"http://bit.ly/37RvQcA\">❗️LGPL-3.0</a></code> <code><img src=\"https://jax.readthedocs.io/en/latest/_static/favicon.png\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/alvarobartt/pyrtfolio\">pyrtfolio</a></b> (🥉7 ·  ⭐ 100 · 💀) - Python package to generate stock portfolios. <code><a href=\"http://bit.ly/2M0xdwT\">❗️GPL-3.0</a></code>\n\n"
  },
  {
    "path": "history/2022-02-17_changes.md",
    "content": "## 📈 Trending Up\n\n_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._\n\n- <b><a href=\"https://github.com/sympy/sympy\">SymPy</a></b> (🥇45 ·  ⭐ 8.9K · 📈) - A computer algebra system written in pure Python. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/bokeh/bokeh\">Bokeh</a></b> (🥇44 ·  ⭐ 16K · 📈) - Interactive Data Visualization in the browser, from Python. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/google/jax\">jax</a></b> (🥈41 ·  ⭐ 16K · 📈) - Composable transformations of Python+NumPy programs: differentiate,.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/rq/rq\">rq</a></b> (🥇39 ·  ⭐ 8.1K · 📈) - Simple job queues for Python. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/apache/flink\">PyFlink</a></b> (🥈37 ·  ⭐ 18K · 📈) - Apache Flink Python API. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/tensorflow/hub\">tensorflow-hub</a></b> (🥈35 ·  ⭐ 3K · 📈) - A library for transfer learning by reusing parts of.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/mozilla/DeepSpeech\">DeepSpeech</a></b> (🥇34 ·  ⭐ 19K · 📈) - DeepSpeech is an open source embedded (offline, on-.. <code><a href=\"http://bit.ly/3postzC\">MPL-2.0</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/ContextLab/hypertools\">HyperTools</a></b> (🥉28 ·  ⭐ 1.7K · 📈) - A Python toolbox for gaining geometric insights into high-.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/m3dev/gokart\">gokart</a></b> (🥉23 ·  ⭐ 240 · 📈) - Gokart solves reproducibility, task dependencies, constraints of good.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/tryolabs/norfair\">Norfair</a></b> (🥉22 ·  ⭐ 1.3K · 📈) - Lightweight Python library for adding real-time object tracking to.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n\n## 📉 Trending Down\n\n_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._\n\n- <b><a href=\"https://github.com/matplotlib/matplotlib\">Matplotlib</a></b> (🥇48 ·  ⭐ 15K · 📉) - matplotlib: plotting with Python. <code><a href=\"http://bit.ly/35wkF7y\">Python-2.0</a></code>\n- <b><a href=\"https://github.com/h5py/h5py\">h5py</a></b> (🥇39 ·  ⭐ 1.7K · 📉) - HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/davisking/dlib\">dlib</a></b> (🥈38 ·  ⭐ 11K · 📉) - A toolkit for making real world machine learning and data analysis.. <code><a href=\"https://tldrlegal.com/search?q=BSL-1.0\">❗️BSL-1.0</a></code>\n- <b><a href=\"https://github.com/joblib/joblib\">joblib</a></b> (🥇38 ·  ⭐ 2.7K · 📉) - Computing with Python functions. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/pycaret/pycaret\">PyCaret</a></b> (🥇36 ·  ⭐ 5.1K · 📉) - An open-source, low-code machine learning library in Python. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/tensorflow/addons\">TF Addons</a></b> (🥇36 ·  ⭐ 1.4K · 📉) - Useful extra functionality for TensorFlow 2.x maintained.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/horovod/horovod\">horovod</a></b> (🥇35 ·  ⭐ 12K · 📉) - Distributed training framework for TensorFlow, Keras, PyTorch,.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/stanfordnlp/stanza\">stanza</a></b> (🥈31 ·  ⭐ 6K · 📉) - Official Stanford NLP Python Library for Many Human Languages. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/finos/perspective\">Perspective</a></b> (🥈31 ·  ⭐ 4.2K · 📉) - A data visualization and analytics component,.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/SciTools/cartopy\">cartopy</a></b> (🥈31 ·  ⭐ 990 · 📉) - Cartopy - a cartographic python library with matplotlib support. <code><a href=\"http://bit.ly/37RvQcA\">❗️LGPL-3.0</a></code>\n\n## ➕ Added Projects\n\n_Projects that were recently added to this best-of list._\n\n- <b><a href=\"https://github.com/towhee-io/towhee\">Towhee</a></b> (🥉22 ·  ⭐ 230 · ➕) - An easy-to-use platform for running machine learning pipelines in.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n\n"
  },
  {
    "path": "history/2022-04-14_changes.md",
    "content": "## 📈 Trending Up\n\n_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._\n\n- <b><a href=\"https://github.com/microsoft/recommenders\">Recommenders</a></b> (🥇35 ·  ⭐ 13K · 📈) - Best Practices on Recommendation Systems. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/pydata/bottleneck\">Bottleneck</a></b> (🥈34 ·  ⭐ 730 · 📈) - Fast NumPy array functions written in C. <code><a href=\"http://bit.ly/3rqEWVr\">BSD-2</a></code>\n- <b><a href=\"https://github.com/huggingface/accelerate\">accelerate</a></b> (🥇32 ·  ⭐ 2.3K · 📈) - A simple way to train and use PyTorch models with.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/allenai/scispacy\">SciSpacy</a></b> (🥈30 ·  ⭐ 1.1K · 📈) - A full spaCy pipeline and models for scientific/biomedical.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/nicodv/kmodes\">kmodes</a></b> (🥈30 ·  ⭐ 1K · 📈) - Python implementations of the k-modes and k-prototypes clustering.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/JustGlowing/minisom\">minisom</a></b> (🥉27 ·  ⭐ 1K · 📈) - MiniSom is a minimalistic implementation of the Self Organizing.. <code><a href=\"https://tldrlegal.com/search?q=CC-BY-3.0\">❗️CC-BY-3.0</a></code>\n- <b><a href=\"https://github.com/rasbt/biopandas\">BioPandas</a></b> (🥉23 ·  ⭐ 440 · 📈) - Working with molecular structures in pandas DataFrames. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1S\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/patrick-kidger/equinox\">equinox</a></b> (🥇23 ·  ⭐ 360 · 📈) - Callable PyTrees and filtered JIT/grad transformations =.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://jax.readthedocs.io/en/latest/_static/favicon.png\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/AutoViML/featurewiz\">featurewiz</a></b> (🥉23 ·  ⭐ 210 · 📈) - Use advanced feature engineering strategies and select best.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/textflint/textflint\">textflint</a></b> (🥉18 ·  ⭐ 550 · 📈) - Unified Multilingual Robustness Evaluation Toolkit for.. <code><a href=\"http://bit.ly/2M0xdwT\">❗️GPL-3.0</a></code>\n\n## 📉 Trending Down\n\n_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._\n\n- <b><a href=\"https://github.com/xflr6/graphviz\">Graphviz</a></b> (🥈35 ·  ⭐ 1.2K · 📉) - Simple Python interface for Graphviz. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/albumentations-team/albumentations\">Albumentations</a></b> (🥈33 ·  ⭐ 10K · 📉) - Fast image augmentation library and an easy-to-use.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/alteryx/featuretools\">featuretools</a></b> (🥈32 ·  ⭐ 6.1K · 📉) - An open source python library for automated feature.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/chartbeat-labs/textacy\">textacy</a></b> (🥈28 ·  ⭐ 1.9K · 📉) - NLP, before and after spaCy. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/uploadcare/pillow-simd\">Pillow-SIMD</a></b> (🥉27 ·  ⭐ 1.8K · 📉) - The friendly PIL fork. <code><a href=\"https://tldrlegal.com/search?q=PIL\">❗️PIL</a></code>\n- <b><a href=\"https://github.com/microsoft/SynapseML\">MMLSpark</a></b> (🥉23 ·  ⭐ 3.3K · 📉) - Simple and Distributed Machine Learning. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1N\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/EducationalTestingService/skll\">SKLL</a></b> (🥉22 ·  ⭐ 530 · 📉) - SciKit-Learn Laboratory (SKLL) makes it easy to run.. <code><a href=\"https://tldrlegal.com/search?q=BSD-1-Clause\">❗️BSD-1-Clause</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/eliorc/node2vec\">Node2Vec</a></b> (🥉20 ·  ⭐ 890 · 📉) - Implementation of the node2vec algorithm. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/jalammar/ecco\">ecco</a></b> (🥉19 ·  ⭐ 1.4K · 📉) - Explain, analyze, and visualize NLP language models. Ecco creates.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/enlite-ai/maze\">Maze</a></b> (🥉13 ·  ⭐ 200 · 📉) - Maze Applied Reinforcement Learning Framework. <code><a href=\"https://tldrlegal.com/search?q=Custom\">❗️Custom</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n\n"
  },
  {
    "path": "history/2022-04-21_changes.md",
    "content": "## 📈 Trending Up\n\n_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._\n\n- <b><a href=\"https://github.com/ray-project/ray\">Ray</a></b> (🥇44 ·  ⭐ 20K · 📈) - An open source framework that provides a simple, universal API for.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/google/jax\">jax</a></b> (🥇43 ·  ⭐ 17K · 📈) - Composable transformations of Python+NumPy programs: differentiate,.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/RaRe-Technologies/gensim\">gensim</a></b> (🥇41 ·  ⭐ 13K · 📈) - Topic Modelling for Humans. <code><a href=\"https://tldrlegal.com/search?q=LGPL-2.1\">❗️LGPL-2.1</a></code>\n- <b><a href=\"https://github.com/imageio/imageio\">imageio</a></b> (🥇37 ·  ⭐ 1K · 📈) - Python library for reading and writing image data. <code><a href=\"http://bit.ly/3rqEWVr\">BSD-2</a></code>\n- <b><a href=\"https://github.com/gunthercox/ChatterBot\">ChatterBot</a></b> (🥇36 ·  ⭐ 12K · 💤) - ChatterBot is a machine learning, conversational dialog engine.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/rasterio/rasterio\">Rasterio</a></b> (🥇36 ·  ⭐ 1.7K · 📈) - Rasterio reads and writes geospatial raster datasets. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/dmlc/dgl\">dgl</a></b> (🥇35 ·  ⭐ 9.4K · 📈) - Python package built to ease deep learning on graph, on top of.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/geopy/geopy\">geopy</a></b> (🥈34 ·  ⭐ 3.6K · 💤) - Geocoding library for Python. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/statisticianinstilettos/recmetrics\">recmetrics</a></b> (🥉20 ·  ⭐ 380 · 📈) - A library of metrics for evaluating recommender systems. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/THUMNLab/AutoGL\">AutoGL</a></b> (🥉18 ·  ⭐ 780 · 📈) - An autoML framework & toolkit for machine learning on graphs. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n\n## 📉 Trending Down\n\n_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._\n\n- <b><a href=\"https://github.com/pyg-team/pytorch_geometric\">PyTorch Geometric</a></b> (🥇36 ·  ⭐ 14K · 📉) - Graph Neural Network Library for PyTorch. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/PaddlePaddle/PaddleOCR\">PaddleOCR</a></b> (🥇35 ·  ⭐ 20K · 📉) - Awesome multilingual OCR toolkits based on PaddlePaddle.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1M\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/horovod/horovod\">horovod</a></b> (🥇35 ·  ⭐ 12K · 📉) - Distributed training framework for TensorFlow, Keras, PyTorch,.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/VowpalWabbit/vowpal_wabbit\">Vowpal Wabbit</a></b> (🥈35 ·  ⭐ 7.9K · 📉) - Vowpal Wabbit is a machine learning system which pushes the.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/geopandas/geopandas\">GeoPandas</a></b> (🥈35 ·  ⭐ 3.1K · 📉) - Python tools for geographic data. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1S\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/JohnSnowLabs/spark-nlp\">spark-nlp</a></b> (🥇35 ·  ⭐ 2.7K · 📉) - State of the Art Natural Language Processing. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1N\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/Trusted-AI/adversarial-robustness-toolbox\">ART</a></b> (🥇33 ·  ⭐ 2.9K · 📉) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/pytorch/audio\">torchaudio</a></b> (🥇33 ·  ⭐ 1.6K · 📉) - Data manipulation and transformation for audio signal.. <code><a href=\"http://bit.ly/3rqEWVr\">BSD-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/guofei9987/scikit-opt\">scikit-opt</a></b> (🥈25 ·  ⭐ 3.1K · 📉) - Genetic Algorithm, Particle Swarm Optimization, Simulated.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/mozilla/DeepSpeech\">DeepSpeech</a></b> (🥉22 ·  ⭐ 18K · 💤) - DeepSpeech is an open source embedded (offline, on-.. <code><a href=\"http://bit.ly/3postzC\">MPL-2.0</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n\n"
  },
  {
    "path": "history/2022-04-21_projects.csv",
    "content": ",name,github_id,category,resource,github_url,homepage,license,created_at,updated_at,last_commit_pushed_at,commit_count,recent_commit_count,fork_count,watchers_count,pr_count,open_issue_count,closed_issue_count,star_count,description,contributor_count,projectrank,show,latest_stable_release_published_at,latest_stable_release_number,release_count,pypi_id,conda_id,dockerhub_id,docs_url,labels,dependent_project_count,github_dependent_project_count,pypi_url,pypi_latest_release_published_at,pypi_dependent_project_count,pypi_monthly_downloads,monthly_downloads,conda_url,conda_latest_release_published_at,conda_total_downloads,dockerhub_url,dockerhub_latest_release_published_at,dockerhub_stars,dockerhub_pulls,projectrank_placing,github_release_downloads,helm_id,trending,npm_id,npm_url,npm_latest_release_published_at,npm_dependent_project_count,npm_monthly_downloads,conda_dependent_project_count,brew_id,apt_id,yum_id,updated_github_id,maven_id,maven_url,maven_latest_release_published_at,maven_dependent_project_count,snap_id,dnf_id,yay_id\n0,ANN Benchmarks,erikbern/ann-benchmarks,nn-search,True,https://github.com/erikbern/ann-benchmarks,https://github.com/erikbern/ann-benchmarks,MIT,2015-05-28 13:21:43.000,2022-04-14 00:50:12.000000,2022-03-07 14:19:56,1269.0,4.0,434,96.0,181.0,39.0,79.0,2839,Benchmarks of approximate nearest neighbor libraries in Python.,69.0,0,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n1,best-of-web-python - Web Scraping,ml-tooling/best-of-web-python,web-scraping,True,https://github.com/ml-tooling/best-of-web-python,https://github.com/ml-tooling/best-of-web-python#web-scraping--crawling,CC-BY-SA-4.0,2021-01-05 13:09:27.000,2022-04-20 21:14:31.000000,2022-04-20 21:14:30,118.0,10.0,107,46.0,80.0,4.0,2.0,1488,Collection of web-scraping and crawling libraries.,8.0,0,True,2022-04-20 21:14:37.000,2022.04.14,35.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n2,best-of-python - Data 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21:13:50.000,2022.04.14,37.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n4,Tensorflow,tensorflow/tensorflow,ml-frameworks,,https://github.com/tensorflow/tensorflow,https://github.com/tensorflow/tensorflow,Apache-2.0,2015-11-07 01:19:20.000,2022-04-21 13:35:52.411973,2022-04-21 09:16:44,128186.0,3962.0,86660,7867.0,20803.0,2425.0,32263.0,166374,An Open Source Machine Learning Framework for Everyone.,3980.0,55,True,2022-02-02 16:58:42.000,2.7.1,146.0,tensorflow,conda-forge/tensorflow,tensorflow/tensorflow,https://www.tensorflow.org/overview,['tensorflow'],206439.0,192377.0,https://pypi.org/project/tensorflow,2022-04-12 16:50:18.000,14062.0,14525790.0,15416179.0,https://anaconda.org/conda-forge/tensorflow,2022-02-06 08:03:30.812,3216894.0,https://hub.docker.com/r/tensorflow/tensorflow,2022-04-21 13:35:52.411973,2005.0,65166861.0,1.0,,,,,,,,,,,,,,,,,,,,\n5,pandas,pandas-dev/pandas,data-containers,,https://github.com/pandas-dev/pandas,https://github.com/pandas-dev/pandas,BSD-3-Clause,2010-08-24 01:37:33.000,2022-04-21 14:11:38.000000,2022-04-19 21:25:13,29331.0,552.0,14254,1111.0,24417.0,3463.0,18995.0,33478,\"Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R..\",2974.0,52,True,2022-04-02 10:32:27.000,1.4.2,102.0,pandas,conda-forge/pandas,,,['pandas'],756200.0,697261.0,https://pypi.org/project/pandas,2022-04-02 10:32:27.000,58939.0,83311420.0,83657386.0,https://anaconda.org/conda-forge/pandas,2022-04-10 13:06:45.304,24461058.0,,,,,1.0,143130.0,,,,,,,,,,,,,,,,,,,\n6,scikit-learn,scikit-learn/scikit-learn,ml-frameworks,,https://github.com/scikit-learn/scikit-learn,https://github.com/scikit-learn/scikit-learn,BSD-3-Clause,2010-08-17 09:43:38.000,2022-04-21 13:53:07.000000,2022-04-21 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01:56:09.169,31319453.0,,,,,1.0,494652.0,,,,,,,,,,,,,,,,,,,\n8,transformers,huggingface/transformers,nlp,,https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000,2022-04-21 14:07:46.000000,2022-04-21 13:55:30,9614.0,830.0,14068,800.0,7686.0,469.0,8740.0,61363,\"Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.\",1275.0,49,True,2022-04-07 18:08:23.000,4.18.0,89.0,transformers,conda-forge/transformers,,,\"['pytorch', 'tensorflow']\",27047.0,26221.0,https://pypi.org/project/transformers,2022-04-06 15:07:45.000,826.0,5772005.0,5777348.0,https://anaconda.org/conda-forge/transformers,2022-01-31 21:40:31.059,159235.0,,,,,1.0,1479.0,,,,,,,,,,,,,,,,,,,\n9,PyTorch,pytorch/pytorch,ml-frameworks,,https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41.000,2022-04-21 13:59:50.000000,2022-04-21 13:59:48,45592.0,2417.0,15196,1599.0,50518.0,11517.0,17507.0,55433,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,3214.0,49,True,2022-03-10 16:59:55.000,1.11.0,39.0,torch,pytorch/pytorch,,https://pytorch.org/docs/stable/index.html,['pytorch'],6959.0,,https://pypi.org/project/torch,2022-03-10 16:38:35.000,6959.0,8047090.0,10372555.0,https://anaconda.org/pytorch/pytorch,2022-03-10 16:43:32.673,16277934.0,,,,,1.0,3121.0,,,,,,,,,,,,,,,,,,,\n10,Matplotlib,matplotlib/matplotlib,data-viz,,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,Python-2.0,2011-02-19 03:17:12.000,2022-04-21 13:14:42.000000,2022-04-21 09:31:07,42621.0,611.0,6296,579.0,14365.0,1795.0,6990.0,15360,matplotlib: plotting with Python.,1353.0,49,True,2021-12-11 08:22:08.000,3.5.1,90.0,matplotlib,conda-forge/matplotlib,,,,595233.0,541760.0,https://pypi.org/project/matplotlib,2021-12-11 08:22:08.000,53473.0,26550701.0,26698578.0,https://anaconda.org/conda-forge/matplotlib,2021-12-13 20:23:04.086,11682331.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n11,scipy,scipy/scipy,others,,https://github.com/scipy/scipy,https://github.com/scipy/scipy,BSD-3-Clause,2011-03-09 18:52:03.000,2022-04-21 14:19:17.000000,2022-04-21 07:32:21,27692.0,521.0,4146,332.0,7919.0,1799.0,6654.0,9491,\"Ecosystem of open-source software for mathematics, science, and engineering.\",1261.0,49,True,2022-02-05 23:29:16.000,1.8.0,77.0,scipy,conda-forge/scipy,,,,554048.0,497212.0,https://pypi.org/project/scipy,2022-02-05 22:53:25.000,56836.0,41066425.0,41383005.0,https://anaconda.org/conda-forge/scipy,2022-02-09 01:10:04.440,22176859.0,,,,,1.0,342687.0,,,,,,,,,,,,,,,,,,,\n12,Celery,celery/celery,data-pipelines,,https://github.com/celery/celery,https://github.com/celery/celery,BSD-3-Clause,2009-04-24 11:31:24.000,2022-04-21 01:43:02.000000,2022-04-20 06:05:26,11905.0,82.0,4250,477.0,2573.0,537.0,4180.0,19154,Asynchronous task queue/job queue based on distributed message passing.,1203.0,46,True,2022-04-05 08:37:09.000,5.2.6,190.0,celery,conda-forge/celery,,,,83187.0,68333.0,https://pypi.org/project/celery,2022-04-05 08:37:09.000,14854.0,5125380.0,5136497.0,https://anaconda.org/conda-forge/celery,2022-02-07 19:32:02.369,811545.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n13,Airflow,apache/airflow,data-pipelines,,https://github.com/apache/airflow,https://github.com/apache/airflow,Apache-2.0,2015-04-13 18:04:58.000,2022-04-21 14:54:39.000000,2022-04-21 14:48:24,15810.0,988.0,10407,739.0,16300.0,942.0,4527.0,25876,\"Platform to programmatically author, schedule, and monitor workflows.\",2367.0,45,True,2022-04-04 09:30:39.000,2.2.5,107.0,apache-airflow,conda-forge/airflow,apache/airflow,,,456.0,,https://pypi.org/project/apache-airflow,2022-04-14 20:12:03.000,456.0,6131153.0,6972824.0,https://anaconda.org/conda-forge/airflow,2022-04-04 14:18:26.777,581204.0,https://hub.docker.com/r/apache/airflow,2022-04-14 23:48:03.050203,330.0,69580786.0,1.0,278392.0,stable/airflow,,,,,,,,,,,,,,,,,,\n14,Pillow,python-pillow/Pillow,image,,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000,2022-04-21 12:11:21.000000,2022-04-21 12:10:55,13035.0,492.0,1824,211.0,3720.0,110.0,2371.0,9695,The friendly PIL fork (Python Imaging Library).,391.0,45,True,2022-04-01 14:40:43.000,9.1.0,87.0,Pillow,conda-forge/pillow,,,,62658.0,,https://pypi.org/project/Pillow,2022-04-01 14:37:06.000,62658.0,40383334.0,40579038.0,https://anaconda.org/conda-forge/pillow,2022-04-13 03:19:38.560,14090716.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n15,SymPy,sympy/sympy,others,,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000,2022-04-21 00:02:16.000000,2022-04-20 12:46:46,50752.0,878.0,3620,292.0,11461.0,4400.0,7887.0,9081,A computer algebra system written in pure Python.,1137.0,45,True,2022-03-20 11:58:15.000,sympy-1.10.1,45.0,sympy,conda-forge/sympy,,,,45511.0,41379.0,https://pypi.org/project/sympy,2022-03-20 12:00:44.000,4132.0,1765767.0,1797858.0,https://anaconda.org/conda-forge/sympy,2022-03-20 19:12:31.090,1974038.0,,,,,1.0,450254.0,,,,,,,,,,,,,,,,,,,\n16,Keras,keras-team/keras,ml-frameworks,,https://github.com/keras-team/keras,https://github.com/keras-team/keras,Apache-2.0,2015-03-28 00:35:42.000,2022-04-21 08:26:13.000000,2022-04-21 00:49:24,6787.0,399.0,19028,1962.0,5185.0,308.0,10983.0,54994,Deep Learning for humans.,1057.0,44,True,2022-02-03 05:13:44.000,2.8.0,63.0,keras,conda-forge/keras,,https://keras.io,['tensorflow'],280.0,,https://pypi.org/project/keras,2022-04-18 17:41:11.000,280.0,8953698.0,8985708.0,https://anaconda.org/conda-forge/keras,2022-02-04 15:14:03.939,2176724.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n17,spaCy,explosion/spaCy,nlp,,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000,2022-04-21 10:57:55.000000,2022-04-20 07:52:34,15401.0,136.0,3790,560.0,3042.0,97.0,5006.0,23170,Industrial-strength Natural Language Processing (NLP) in Python.,675.0,44,True,2022-03-30 14:15:37.000,3.1.6,194.0,spacy,conda-forge/spacy,,,,40173.0,37881.0,https://pypi.org/project/spacy,2022-04-05 12:33:50.000,2292.0,4457759.0,4499800.0,https://anaconda.org/conda-forge/spacy,2022-03-31 10:26:05.872,2603663.0,,,,,1.0,3135.0,,,,,,,,,,,,,,,,,,,\n18,XGBoost,dmlc/xgboost,ml-frameworks,,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000,2022-04-21 12:23:35.000000,2022-04-21 12:23:35,5740.0,112.0,8356,938.0,3465.0,273.0,4122.0,22514,\"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..\",556.0,44,True,2022-04-16 04:09:35.000,1.6.0,63.0,xgboost,conda-forge/xgboost,,https://xgboost.readthedocs.io/en/latest/,,31093.0,29768.0,https://pypi.org/project/xgboost,2022-04-16 04:09:35.000,1325.0,7766992.0,7808717.0,https://anaconda.org/conda-forge/xgboost,2022-02-17 18:39:15.686,2542810.0,,,,,1.0,3927.0,,,,,,,,,,,,,,,,,,,\n19,Ray,ray-project/ray,distributed-ml,,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000,2022-04-21 14:33:53.000000,2022-04-21 12:07:29,12159.0,1146.0,3454,427.0,14086.0,2240.0,7728.0,20044,\"An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged..\",659.0,44,True,2022-04-14 17:04:21.000,1.12.0,70.0,ray,conda-forge/ray-tune,,,,4809.0,4553.0,https://pypi.org/project/ray,2022-04-14 17:04:21.000,256.0,996166.0,997756.0,https://anaconda.org/conda-forge/ray-tune,2022-04-07 20:54:56.642,25441.0,,,,,1.0,,,1.0,,,,,,,,,,,,,,,,,\n20,Bokeh,bokeh/bokeh,data-viz,,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000,2022-04-21 12:59:14.000000,2022-04-19 18:26:47,19527.0,54.0,3881,462.0,5135.0,708.0,6186.0,16209,\"Interactive Data Visualization in the browser, from Python.\",601.0,44,True,2021-11-22 17:49:14.000,2.4.2,119.0,bokeh,conda-forge/bokeh,,,,53690.0,50192.0,https://pypi.org/project/bokeh,2022-03-03 18:34:50.000,3498.0,5503445.0,5619925.0,https://anaconda.org/conda-forge/bokeh,2022-04-13 06:00:47.827,6988805.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n21,nltk,nltk/nltk,nlp,,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58.000,2022-04-20 07:01:47.000000,2022-04-13 03:25:55,14267.0,36.0,2572,474.0,1347.0,222.0,1391.0,10660,Suite of libraries and programs for symbolic and statistical natural language processing for English.,417.0,44,True,2021-12-28 23:28:57.000,3.6.7,50.0,nltk,conda-forge/nltk,,,,150806.0,138986.0,https://pypi.org/project/nltk,2022-02-09 12:40:48.000,11820.0,12731241.0,12748737.0,https://anaconda.org/conda-forge/nltk,2021-12-29 03:25:44.981,1189740.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n22,scikit-image,scikit-image/scikit-image,image,,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,BSD-2-Clause,2011-07-07 22:07:20.000,2022-04-20 08:39:07.000000,2022-04-15 19:10:14,13170.0,123.0,1962,183.0,3722.0,426.0,1810.0,4870,Image processing in Python.,551.0,44,True,2022-02-17 18:25:54.000,0.19.2,44.0,scikit-image,conda-forge/scikit-image,,,,109386.0,100296.0,https://pypi.org/project/scikit-image,2022-02-17 18:24:44.000,9090.0,4916068.0,4962832.0,https://anaconda.org/conda-forge/scikit-image,2022-02-18 18:04:10.940,3320304.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n23,jax,google/jax,ml-frameworks,,https://github.com/google/jax,https://github.com/google/jax,Apache-2.0,2018-10-25 21:25:02.000,2022-04-21 06:17:42.000000,2022-04-20 22:28:18,11238.0,985.0,1581,265.0,6265.0,1058.0,2209.0,17226,\"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.\",384.0,43,True,2022-04-16 13:26:05.000,0.3.7,114.0,jax,conda-forge/jaxlib,,,,4375.0,4088.0,https://pypi.org/project/jax,2022-04-16 13:26:05.000,287.0,379828.0,388902.0,https://anaconda.org/conda-forge/jaxlib,2022-04-10 09:48:43.977,299444.0,,,,,1.0,,,1.0,,,,,,,,,,,,,,,,,\n24,networkx,networkx/networkx,graph,,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44.000,2022-04-20 22:32:08.000000,2022-04-20 14:22:24,6798.0,129.0,2581,274.0,2603.0,363.0,2503.0,10631,Network Analysis in Python.,584.0,43,True,2022-04-09 22:35:15.000,networkx-2.8,74.0,networkx,conda-forge/networkx,,,,118124.0,104870.0,https://pypi.org/project/networkx,2022-04-09 22:38:56.000,13254.0,16947670.0,17039557.0,https://anaconda.org/conda-forge/networkx,2022-04-10 05:15:19.223,6064542.0,,,,,1.0,59.0,,,,,,,,,,,,,,,,,,,\n25,dask,dask/dask,distributed-ml,,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000,2022-04-21 14:36:10.000000,2022-04-20 20:27:05,7120.0,188.0,1471,224.0,4570.0,740.0,3570.0,9786,Parallel computing with task scheduling.,527.0,43,True,2022-04-15 20:57:39.000,2022.4.1,140.0,dask,conda-forge/dask,,,,38577.0,35971.0,https://pypi.org/project/dask,2022-04-15 20:57:39.000,2606.0,5646225.0,5721558.0,https://anaconda.org/conda-forge/dask,2022-04-16 04:09:25.891,5348652.0,,,,,1.0,,stable/dask,,,,,,,,,,,,,,,,,,\n26,Arrow,apache/arrow,data-containers,,https://github.com/apache/arrow,https://github.com/apache/arrow,Apache-2.0,2016-02-17 08:00:23.000,2022-04-21 14:40:41.000000,2022-04-21 14:42:34,11359.0,573.0,2304,337.0,12189.0,264.0,717.0,9389,Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing.,846.0,43,True,2021-11-18 03:54:39.000,6.0.1,36.0,pyarrow,conda-forge/arrow,,,,1478.0,65.0,https://pypi.org/project/pyarrow,2022-02-03 19:25:09.000,1413.0,44288313.0,44301483.0,https://anaconda.org/conda-forge/arrow,2022-01-27 20:04:47.163,935079.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n27,StatsModels,statsmodels/statsmodels,ml-frameworks,,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000,2022-04-21 09:07:08.000000,2022-04-19 16:31:58,14546.0,101.0,2431,261.0,3539.0,2266.0,2508.0,7292,Statsmodels: statistical modeling and econometrics in Python.,364.0,43,True,2022-02-08 18:11:09.000,0.13.2,30.0,statsmodels,conda-forge/statsmodels,,,,66167.0,61654.0,https://pypi.org/project/statsmodels,2022-02-08 18:11:09.000,4513.0,7915989.0,8000405.0,https://anaconda.org/conda-forge/statsmodels,2022-02-11 00:02:55.006,5909186.0,,,,,1.0,26.0,,,,,,,,,,,,,,,,,,,\n28,Tensorboard,tensorflow/tensorboard,ml-experiments,,https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000,2022-04-20 19:54:33.000000,2022-04-20 19:54:33,5015.0,97.0,1472,195.0,4038.0,554.0,1113.0,5831,TensorFlows Visualization Toolkit.,278.0,43,True,2022-01-20 21:11:31.000,2.8.0,40.0,tensorboard,conda-forge/tensorboard,,,['tensorflow'],106550.0,104249.0,https://pypi.org/project/tensorboard,2022-01-20 21:11:31.000,2301.0,13815789.0,13869493.0,https://anaconda.org/conda-forge/tensorboard,2022-02-04 23:08:31.070,2846363.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n29,PySpark,apache/spark,ml-frameworks,,https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08.000,2022-04-21 13:55:33.000000,2022-04-21 13:53:28,32958.0,762.0,25366,2076.0,36274.0,247.0,,32637,Apache Spark Python API.,2655.0,42,True,2022-01-26 05:20:58.000,3.2.1,29.0,pyspark,conda-forge/pyspark,,,['spark'],791.0,,https://pypi.org/project/pyspark,2022-01-26 05:20:58.000,791.0,20020921.0,20046444.0,https://anaconda.org/conda-forge/pyspark,2022-01-26 09:34:57.784,1556916.0,,,,,2.0,,stable/spark,,,,,,,,,,,,,,,,,,\n30,OpenAI Gym,openai/gym,reinforcement-learning,,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16.000,2022-04-21 10:10:07.000000,2022-04-18 15:30:56,1578.0,106.0,7688,997.0,1219.0,111.0,1446.0,27271,A toolkit for developing and comparing reinforcement learning algorithms.,353.0,42,True,2022-03-14 22:44:47.000,0.23.1,99.0,gym,conda-forge/gym,,,,30894.0,28490.0,https://pypi.org/project/gym,2022-03-14 22:44:47.000,2404.0,728199.0,732360.0,https://anaconda.org/conda-forge/gym,2022-02-08 14:22:06.829,99885.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n31,pytorch-lightning,PyTorchLightning/pytorch-lightning,ml-frameworks,,https://github.com/PyTorchLightning/pytorch-lightning,https://github.com/PyTorchLightning/pytorch-lightning,Apache-2.0,2019-03-31 00:45:57.000,2022-04-21 13:58:03.000000,2022-04-21 12:38:01,6861.0,435.0,2291,219.0,6061.0,574.0,4404.0,18106,\"The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.\",654.0,42,True,2022-04-13 18:30:15.000,1.6.1,207.0,pytorch-lightning,conda-forge/pytorch-lightning,,,['pytorch'],8700.0,8353.0,https://pypi.org/project/pytorch-lightning,2022-04-13 18:41:32.000,347.0,2347935.0,2367033.0,https://anaconda.org/conda-forge/pytorch-lightning,2022-04-14 05:59:45.710,416037.0,,,,,2.0,6236.0,,,,,,,,,,,,,,,,,,,\n32,LightGBM,microsoft/LightGBM,ml-frameworks,,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000,2022-04-21 08:53:13.000000,2022-04-15 14:12:15,2937.0,84.0,3459,446.0,2525.0,170.0,2460.0,13691,\"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..\",257.0,42,True,2022-01-07 15:20:18.000,3.3.2,28.0,lightgbm,conda-forge/lightgbm,,,,13144.0,12568.0,https://pypi.org/project/lightgbm,2022-01-07 15:20:18.000,576.0,7272141.0,7291579.0,https://anaconda.org/conda-forge/lightgbm,2022-01-08 00:29:45.463,968683.0,,,,,2.0,146649.0,,,,,,,,,,,,,,,,,,,\n33,torchvision,pytorch/vision,image,,https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000,2022-04-21 14:11:51.000000,2022-04-21 11:19:25,2636.0,239.0,5752,365.0,3575.0,699.0,1728.0,11452,\"Datasets, Transforms and Models specific to Computer Vision.\",480.0,42,True,2022-03-10 18:28:39.000,0.12.0,30.0,torchvision,conda-forge/torchvision,,,['pytorch'],3540.0,,https://pypi.org/project/torchvision,2022-03-10 16:45:51.000,3540.0,3671609.0,3675722.0,https://anaconda.org/conda-forge/torchvision,2022-03-29 18:28:29.092,210755.0,,,,,1.0,3700.0,,,,,,,,,,,,,,,,,,,\n34,Plotly,plotly/plotly.py,data-viz,,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000,2022-04-09 10:37:22.000000,2022-04-05 19:03:00,5421.0,46.0,2134,271.0,1326.0,1141.0,1170.0,11346,The interactive graphing library for Python (includes Plotly Express).,193.0,42,True,2022-04-05 16:31:26.000,5.7.0,278.0,plotly,conda-forge/plotly,,,,3969.0,9.0,https://pypi.org/project/plotly,2022-04-05 16:26:03.000,3956.0,7512755.0,7593268.0,https://anaconda.org/conda-forge/plotly,2022-04-05 18:41:54.292,2400870.0,,,,,1.0,,,,plotlywidget,https://www.npmjs.com/package/plotlywidget,2021-01-12 16:09:46.133,4.0,45207.0,,,,,,,,,,,,\n35,pydeck,visgl/deck.gl,geospatial-data,,https://github.com/visgl/deck.gl,https://github.com/visgl/deck.gl,MIT,2015-12-15 08:38:29.000,2022-04-21 09:06:02.000000,2022-04-21 02:15:45,4017.0,107.0,1764,1745.0,3793.0,152.0,2259.0,9719,WebGL2 powered visualization framework.,190.0,42,True,2022-04-20 11:02:53.000,8.7.7,527.0,pydeck,conda-forge/pydeck,,,['jupyter'],4329.0,3922.0,https://pypi.org/project/pydeck,2021-10-25 17:38:40.000,22.0,984106.0,1266779.0,https://anaconda.org/conda-forge/pydeck,2021-10-26 00:42:05.329,86381.0,,,,,1.0,,,,deck.gl,https://www.npmjs.com/package/deck.gl,2022-04-20 10:48:41.131,385.0,279351.0,,,,,,,,,,,,\n36,PaddlePaddle,PaddlePaddle/Paddle,ml-frameworks,,https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000,2022-04-21 13:43:07.000000,2022-04-21 13:31:38,35416.0,1797.0,4451,729.0,27506.0,2867.0,12442.0,18005,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,724.0,41,True,2022-01-26 02:13:57.000,2.2.2,53.0,paddlepaddle,,,,['paddle'],156.0,108.0,https://pypi.org/project/paddlepaddle,2022-04-15 11:42:45.000,48.0,87738.0,87963.0,,,,,,,,2.0,15315.0,,,,,,,,,,,,,,,,,,,\n37,gensim,RaRe-Technologies/gensim,nlp,,https://github.com/RaRe-Technologies/gensim,https://github.com/RaRe-Technologies/gensim,LGPL-2.1,2011-02-10 07:43:04.000,2022-04-19 18:36:21.000000,2022-04-19 18:36:19,4350.0,50.0,4094,431.0,1597.0,380.0,1381.0,13111,Topic Modelling for Humans.,426.0,41,True,2021-09-18 14:21:47.000,4.1.2,89.0,gensim,conda-forge/gensim,,,,35240.0,32419.0,https://pypi.org/project/gensim,2021-09-17 00:24:57.000,2821.0,5212576.0,5226858.0,https://anaconda.org/conda-forge/gensim,2021-11-09 13:39:50.380,783082.0,,,,,1.0,3517.0,,1.0,,,,,,,,,,,,,,,,,\n38,onnx,onnx/onnx,model-serialisation,,https://github.com/onnx/onnx,https://github.com/onnx/onnx,Apache-2.0,2017-09-07 04:53:45.000,2022-04-20 23:03:36.000000,2022-04-20 20:39:00,1934.0,54.0,2592,428.0,2190.0,519.0,1686.0,12370,Open standard for machine learning interoperability.,229.0,41,True,2022-02-17 21:58:59.000,1.11.0,25.0,onnx,conda-forge/onnx,,,,6795.0,6447.0,https://pypi.org/project/onnx,2022-02-17 19:16:40.000,348.0,1119694.0,1127267.0,https://anaconda.org/conda-forge/onnx,2022-03-01 13:35:47.004,384213.0,,,,,1.0,17543.0,,,,,,,,,,,,,,,,,,,\n39,mlflow,mlflow/mlflow,ml-experiments,,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000,2022-04-21 14:35:42.000000,2022-04-21 04:19:40,2677.0,215.0,2634,273.0,3570.0,1019.0,1293.0,11678,Open source platform for the machine learning lifecycle.,389.0,41,True,2022-04-13 17:02:54.000,1.25.1,57.0,mlflow,conda-forge/mlflow,,,,300.0,,https://pypi.org/project/mlflow,2022-04-13 16:01:34.000,300.0,10320957.0,10335595.0,https://anaconda.org/conda-forge/mlflow,2022-04-13 23:51:35.810,526977.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n40,Seaborn,mwaskom/seaborn,data-viz,,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000,2022-04-20 00:50:38.000000,2022-04-03 15:40:10,2821.0,7.0,1518,249.0,779.0,105.0,1892.0,9338,Statistical data visualization in Python.,166.0,41,True,2021-08-16 00:42:18.000,0.11.2,25.0,seaborn,conda-forge/seaborn,,,,161438.0,152596.0,https://pypi.org/project/seaborn,2021-08-16 00:42:18.000,8842.0,8541300.0,8594842.0,https://anaconda.org/conda-forge/seaborn,2021-08-16 06:42:17.619,3640776.0,,,,,1.0,218.0,,,,,,,,,,,,,,,,,,,\n41,Catboost,catboost/catboost,ml-frameworks,,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000,2022-04-21 12:46:58.000000,2022-04-21 12:46:56,22916.0,2002.0,998,194.0,290.0,378.0,1413.0,6466,\"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..\",993.0,41,True,2022-04-07 07:35:23.000,1.0.5,102.0,catboost,conda-forge/catboost,,,,220.0,,https://pypi.org/project/catboost,2022-04-07 05:23:24.000,220.0,3641640.0,3663460.0,https://anaconda.org/conda-forge/catboost,2022-04-07 19:25:52.486,959185.0,,,,,2.0,77694.0,,,,,,,,,,,,,,,,,,,\n42,dask.distributed,dask/distributed,distributed-ml,,https://github.com/dask/distributed,https://github.com/dask/distributed,BSD-3-Clause,2015-09-13 18:42:29.000,2022-04-21 14:06:34.000000,2022-04-21 14:06:34,4531.0,230.0,618,61.0,3535.0,1018.0,1763.0,1339,A distributed task scheduler for Dask.,267.0,41,True,2022-04-15 20:57:41.000,2022.4.1,171.0,distributed,conda-forge/distributed,,,,24287.0,23120.0,https://pypi.org/project/distributed,2022-04-15 20:57:41.000,1167.0,4645877.0,4739311.0,https://anaconda.org/conda-forge/distributed,2022-04-16 02:35:56.057,6633836.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n43,shap,slundberg/shap,interpretability,,https://github.com/slundberg/shap,https://github.com/slundberg/shap,MIT,2016-11-22 19:17:08.000,2022-04-20 11:12:16.000000,2022-04-01 19:36:07,2142.0,108.0,2382,249.0,447.0,1332.0,580.0,16060,A game theoretic approach to explain the output of any machine learning model.,182.0,40,True,2021-10-20 18:36:57.000,0.40.0,94.0,shap,conda-forge/shap,,,,5336.0,5115.0,https://pypi.org/project/shap,2021-10-20 19:13:31.000,221.0,4502096.0,4527308.0,https://anaconda.org/conda-forge/shap,2022-01-23 08:45:26.945,1109358.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n44,h5py,h5py/h5py,data-containers,,https://github.com/h5py/h5py,https://github.com/h5py/h5py,BSD-3-Clause,2012-09-21 00:40:02.000,2022-04-06 13:24:17.000000,2022-04-06 13:21:11,3973.0,102.0,433,52.0,783.0,221.0,1090.0,1712,HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.,179.0,40,True,2021-11-16 13:35:22.000,3.6.0,31.0,h5py,conda-forge/h5py,,,,172632.0,159102.0,https://pypi.org/project/h5py,2021-11-16 13:35:22.000,13530.0,11842982.0,11945315.0,https://anaconda.org/conda-forge/h5py,2021-11-26 22:25:41.747,7468215.0,,,,,1.0,1814.0,,,,,,,,,,,,,,,,,,,\n45,MXNet,apache/incubator-mxnet,ml-frameworks,,https://github.com/apache/incubator-mxnet,https://github.com/apache/incubator-mxnet,Apache-2.0,2015-04-30 16:21:15.000,2022-04-20 12:02:28.000000,2022-04-19 17:23:42,11828.0,57.0,6903,1099.0,11001.0,1980.0,7720.0,19950,\"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..\",974.0,39,True,2022-03-22 00:13:06.000,2.0.0.beta1,982.0,mxnet,mxnet,,,['mxnet'],289.0,,https://pypi.org/project/mxnet,2022-03-25 17:06:28.000,284.0,269683.0,270172.0,https://anaconda.org/anaconda/mxnet,2020-02-29 00:58:31.007,7235.0,,,,,2.0,24855.0,,,,,,,,5.0,,,,,,,,,,,\n46,dash,plotly/dash,data-viz,,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000,2022-04-21 13:44:21.000000,2022-04-19 16:43:43,5865.0,233.0,1675,401.0,716.0,625.0,647.0,16277,\"Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.\",108.0,39,True,2022-03-29 22:50:27.000,2.3.1,147.0,dash,conda-forge/dash,,,,1379.0,188.0,https://pypi.org/project/dash,2022-03-29 22:29:51.000,1191.0,879569.0,888314.0,https://anaconda.org/conda-forge/dash,2022-03-30 10:37:04.517,411037.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n47,Rasa,RasaHQ/rasa,nlp,,https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49.000,2022-04-21 12:08:49.000000,2022-04-21 11:37:01,30098.0,363.0,3926,338.0,4555.0,987.0,5678.0,13850,\"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..\",536.0,39,True,2022-04-05 14:41:42.000,2.8.27,250.0,rasa,,,,['tensorflow'],57.0,,https://pypi.org/project/rasa,2022-04-05 14:41:31.000,57.0,215569.0,215569.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n48,flair,flairNLP/flair,nlp,,https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,MIT,2018-06-11 11:04:18.000,2022-04-21 08:49:20.000000,2022-04-10 14:05:57,4440.0,209.0,1848,199.0,910.0,95.0,1730.0,11507,A very simple framework for state-of-the-art Natural Language Processing (NLP).,222.0,39,True,2022-04-10 20:35:57.000,0.11,25.0,flair,conda-forge/python-flair,,,['pytorch'],1372.0,1305.0,https://pypi.org/project/flair,2022-04-10 18:35:05.000,67.0,84010.0,84348.0,https://anaconda.org/conda-forge/python-flair,2021-11-18 16:11:16.757,7098.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n49,dlib,davisking/dlib,ml-frameworks,,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000,2022-04-20 12:00:00.000000,2022-04-20 12:00:00,8067.0,68.0,3050,479.0,548.0,53.0,1972.0,11087,A toolkit for making real world machine learning and data analysis applications in C++.,175.0,39,False,2022-03-14 12:07:11.000,19.23.1,31.0,dlib,conda-forge/dlib,,,,14593.0,13826.0,https://pypi.org/project/dlib,2022-03-14 12:07:11.000,767.0,141338.0,147607.0,https://anaconda.org/conda-forge/dlib,2022-03-15 00:20:39.618,399683.0,,,,,2.0,24936.0,,,,,,,,,,,,,,,,,,,\n50,Altair,altair-viz/altair,data-viz,,https://github.com/altair-viz/altair,https://github.com/altair-viz/altair,BSD-3-Clause,2015-09-19 03:14:04.000,2022-04-20 04:58:00.000000,2022-03-25 20:01:52,3150.0,21.0,630,152.0,974.0,240.0,1398.0,7425,Declarative statistical visualization library for Python.,136.0,39,True,2021-12-29 13:30:58.000,4.2.0,28.0,altair,conda-forge/altair,,,,25668.0,25324.0,https://pypi.org/project/altair,2021-12-29 13:25:37.000,344.0,6229692.0,6245954.0,https://anaconda.org/conda-forge/altair,2021-12-29 17:47:26.885,1122111.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n51,PyMC3,pymc-devs/pymc,probabilistics,,https://github.com/pymc-devs/pymc,https://github.com/pymc-devs/pymc,Apache-2.0,2009-05-05 09:43:50.000,2022-04-21 12:12:21.000000,2022-04-20 11:48:16,8600.0,238.0,1562,230.0,3039.0,213.0,2451.0,6514,Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara.,379.0,39,True,2022-03-15 10:10:19.000,3.11.5,36.0,pymc3,conda-forge/pymc3,,,,843.0,608.0,https://pypi.org/project/pymc3,2022-03-15 10:10:19.000,235.0,354087.0,360166.0,https://anaconda.org/conda-forge/pymc3,2021-10-12 16:32:39.553,399849.0,,,,,1.0,1903.0,,,,,,,,,,,,,,,,,,,\n52,Beam,apache/beam,data-pipelines,,https://github.com/apache/beam,https://github.com/apache/beam,Apache-2.0,2016-02-02 08:00:06.000,2022-04-21 14:36:21.000000,2022-04-21 14:05:38,35393.0,1056.0,3455,257.0,17408.0,139.0,,5449,\"Unified programming model to define and execute data processing pipelines, including ETL, batch and stream processing.\",1251.0,39,True,2022-04-20 23:03:40.000,2.38.0,61.0,apache-beam,conda-forge/apache-beam-with-aws,,,,149.0,,https://pypi.org/project/apache-beam,2022-04-20 20:51:29.000,149.0,6250698.0,6251679.0,https://anaconda.org/conda-forge/apache-beam-with-aws,2022-04-21 05:29:42.235,6867.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n53,Fastai,fastai/fastai,ml-frameworks,,https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000,2022-04-20 20:42:06.000000,2022-04-20 20:42:04,1904.0,50.0,7220,625.0,2032.0,120.0,1467.0,22153,The fastai deep learning library.,613.0,38,True,2022-04-02 04:09:17.000,2.5.6,129.0,fastai,,,,['pytorch'],298.0,,https://pypi.org/project/fastai,2022-04-02 04:09:17.000,298.0,245624.0,245624.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n54,Streamlit,streamlit/streamlit,others,,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000,2022-04-21 07:22:23.000000,2022-04-20 23:34:13,4661.0,114.0,1672,262.0,2204.0,572.0,1789.0,18681,Streamlit The fastest way to build data apps in Python.,139.0,38,True,2022-03-29 19:26:47.000,1.8.1,157.0,streamlit,,,,,617.0,273.0,https://pypi.org/project/streamlit,2022-03-29 19:26:41.000,344.0,1016993.0,1016993.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n55,Jina,jina-ai/jina,ml-frameworks,,https://github.com/jina-ai/jina,https://github.com/jina-ai/jina,Apache-2.0,2020-02-13 17:04:44.000,2022-04-21 14:06:13.000000,2022-04-21 12:57:05,7337.0,381.0,1827,182.0,3203.0,60.0,1359.0,14320,Cloud-native neural search framework for kind of data.,146.0,38,True,2022-04-21 12:57:51.000,3.3.4,1735.0,jina,conda-forge/jina-core,jinaai/jina,,,265.0,265.0,https://pypi.org/project/jina,2022-04-21 12:57:00.000,,41665.0,82576.0,https://anaconda.org/conda-forge/jina-core,2022-04-13 13:05:14.395,3944.0,https://hub.docker.com/r/jinaai/jina,2022-04-21 13:15:04.602111,7.0,1049071.0,2.0,,,,,,,,,,,,,,,,,,,,\n56,Milvus,milvus-io/milvus,nn-search,,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000,2022-04-21 14:03:23.000000,2022-04-21 13:37:42,14533.0,463.0,1495,195.0,11146.0,300.0,4540.0,10125,An open-source vector database for scalable similarity search and AI applications.,202.0,38,True,2022-04-02 10:12:24.000,2.0.2,100.0,pymilvus,,milvusdb/milvus,,,15.0,,https://pypi.org/project/pymilvus,2022-04-02 07:36:26.000,15.0,37076.0,71097.0,,,,https://hub.docker.com/r/milvusdb/milvus,2022-04-02 06:39:20.199435,18.0,908784.0,1.0,18826.0,,,,,,,,,,,,,,,,,,,\n57,Theano,Theano/Theano,ml-frameworks,,https://github.com/Theano/Theano,https://github.com/Theano/Theano,BSD-3-Clause,2011-08-10 03:48:06.000,2022-03-16 06:30:00.008000,2021-11-23 08:52:10,28127.0,,2509,558.0,4114.0,679.0,2086.0,9564,\"Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving..\",384.0,38,True,2020-07-27 16:13:54.000,1.0.5,45.0,theano,conda-forge/theano,,,,15222.0,12384.0,https://pypi.org/project/theano,2020-07-27 16:13:54.000,2838.0,264622.0,292530.0,https://anaconda.org/conda-forge/theano,2022-03-16 06:30:00.008,1925702.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n58,rq,rq/rq,data-pipelines,,https://github.com/rq/rq,https://github.com/rq/rq,BSD-3-Clause,2011-11-14 10:53:48.000,2022-04-16 11:37:08.000000,2022-04-02 01:06:55,1628.0,9.0,1263,216.0,674.0,175.0,778.0,8243,Simple job queues for Python.,256.0,38,True,2021-12-07 12:48:17.000,1.10.1,68.0,rq,conda-forge/rq,,,,11875.0,10140.0,https://pypi.org/project/rq,2021-12-07 12:46:58.000,1735.0,525928.0,526943.0,https://anaconda.org/conda-forge/rq,2021-06-30 09:49:43.099,70060.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n59,Optuna,optuna/optuna,hyperopt,,https://github.com/optuna/optuna,https://github.com/optuna/optuna,MIT,2018-02-21 06:12:56.000,2022-04-20 13:12:54.000000,2022-04-20 04:30:22,12289.0,873.0,684,128.0,2354.0,142.0,1021.0,6261,A hyperparameter optimization framework.,188.0,38,True,2021-10-04 06:37:16.000,2.10.0,45.0,optuna,conda-forge/optuna,,,,3306.0,3104.0,https://pypi.org/project/optuna,2022-04-12 04:16:37.000,202.0,2233814.0,2243070.0,https://anaconda.org/conda-forge/optuna,2021-10-04 08:58:48.864,268424.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n60,CuPy,cupy/cupy,gpu-utilities,,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000,2022-04-21 12:54:23.000000,2022-04-21 05:35:07,25046.0,591.0,586,121.0,4995.0,386.0,1342.0,5958,NumPy & SciPy for GPU.,302.0,38,True,2022-04-08 01:52:44.000,10.3.1,112.0,cupy,conda-forge/cupy,cupy/cupy,,,1161.0,1003.0,https://pypi.org/project/cupy,2022-04-08 01:21:55.000,158.0,26525.0,70660.0,https://anaconda.org/conda-forge/cupy,2022-04-12 02:49:51.536,1282731.0,https://hub.docker.com/r/cupy/cupy,2022-04-08 01:56:36.461062,7.0,54579.0,1.0,28595.0,,,,,,,,,,,,,,,,,,,\n61,xarray,pydata/xarray,data-containers,,https://github.com/pydata/xarray,https://github.com/pydata/xarray,Apache-2.0,2013-09-30 17:21:10.000,2022-04-20 11:33:56.000000,2022-04-19 03:26:53,4105.0,117.0,781,106.0,2897.0,950.0,2360.0,2476,N-D labeled arrays and datasets in Python.,370.0,38,True,2022-03-02 15:57:11.000,2022.3.0,66.0,xarray,conda-forge/xarray,,,,11372.0,10019.0,https://pypi.org/project/xarray,2022-03-02 15:57:11.000,1353.0,1248690.0,1316027.0,https://anaconda.org/conda-forge/xarray,2022-03-02 20:58:31.246,4915608.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n62,MMDetection,open-mmlab/mmdetection,image,,https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000,2022-04-21 13:16:47.000000,2022-03-30 01:42:05,2006.0,101.0,6930,354.0,2135.0,561.0,5079.0,19271,OpenMMLab Detection Toolbox and Benchmark.,325.0,37,True,2022-03-30 05:12:51.000,2.23.0,31.0,mmdet,,,,['pytorch'],348.0,339.0,https://pypi.org/project/mmdet,2022-03-30 05:12:51.000,9.0,42714.0,42714.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n63,PyFlink,apache/flink,ml-frameworks,,https://github.com/apache/flink,https://github.com/apache/flink,Apache-2.0,2014-06-07 07:00:10.000,2022-04-21 13:58:25.000000,2022-04-21 13:58:25,30690.0,1182.0,10349,929.0,19535.0,690.0,,18611,Apache Flink Python API.,1516.0,37,True,2022-03-11 09:05:38.000,1.14.4,30.0,apache-flink,,,,,15.0,,https://pypi.org/project/apache-flink,2022-03-11 09:05:38.000,15.0,13199.0,13199.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n64,PyTorch Image Models,rwightman/pytorch-image-models,image,,https://github.com/rwightman/pytorch-image-models,https://github.com/rwightman/pytorch-image-models,Apache-2.0,2019-02-02 05:51:12.000,2022-04-19 03:54:35.000000,2022-04-05 21:12:31,1345.0,62.0,2924,266.0,217.0,74.0,430.0,17919,\"PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision..\",71.0,37,True,2022-04-03 22:14:28.000,0.1-weights-swin2,31.0,timm,conda-forge/timm,,,['pytorch'],2748.0,2669.0,https://pypi.org/project/timm,2022-01-17 04:57:50.000,79.0,1522241.0,1554585.0,https://anaconda.org/conda-forge/timm,2021-06-30 20:44:15.682,14840.0,,,,,1.0,1107363.0,,,,,,,,,,,,,,,,,,,\n65,luigi,spotify/luigi,data-pipelines,,https://github.com/spotify/luigi,https://github.com/spotify/luigi,Apache-2.0,2012-09-20 15:06:38.000,2022-04-17 17:43:04.000000,2022-03-23 12:42:24,4029.0,7.0,2314,488.0,2223.0,103.0,866.0,15599,\"Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution,..\",585.0,37,True,2021-11-06 14:59:15.000,3.0.3,73.0,luigi,luigi,,,,2124.0,1725.0,https://pypi.org/project/luigi,2020-09-23 11:57:12.000,397.0,573012.0,573140.0,https://anaconda.org/anaconda/luigi,2022-03-05 07:01:28.404,9488.0,,,,,1.0,,stable/luigi,,,,,,,2.0,,,,,,,,,,,\n66,AllenNLP,allenai/allennlp,nlp,,https://github.com/allenai/allennlp,https://github.com/allenai/allennlp,Apache-2.0,2017-05-15 15:52:41.000,2022-04-16 02:25:58.000000,2022-04-14 21:46:05,2684.0,40.0,2180,277.0,3049.0,88.0,2425.0,10933,\"An open-source NLP research library, built on PyTorch.\",261.0,37,True,2022-04-14 22:03:15.000,2.9.3,263.0,allennlp,conda-forge/allennlp,,,['pytorch'],2600.0,2422.0,https://pypi.org/project/allennlp,2022-04-14 22:03:15.000,178.0,40193.0,41470.0,https://anaconda.org/conda-forge/allennlp,2022-04-15 04:27:02.306,51093.0,,,,,1.0,46.0,,,,,,,,,,,,,,,,,,,\n67,Prefect,PrefectHQ/prefect,data-pipelines,,https://github.com/PrefectHQ/prefect,https://github.com/PrefectHQ/prefect,Apache-2.0,2018-06-29 21:59:26.000,2022-04-20 21:38:52.000000,2022-04-19 17:04:47,14484.0,178.0,855,145.0,3089.0,487.0,1702.0,8732,The easiest way to automate your data.,314.0,37,True,2022-04-05 18:36:59.000,1.2.0,128.0,prefect,conda-forge/prefect,,,,771.0,718.0,https://pypi.org/project/prefect,2022-04-13 17:05:30.000,53.0,208687.0,215531.0,https://anaconda.org/conda-forge/prefect,2022-04-06 06:44:42.866,253262.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n68,PyCaret,pycaret/pycaret,ml-experiments,,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000,2022-04-21 14:16:43.000000,2022-04-21 14:16:43,2278.0,128.0,1249,115.0,653.0,242.0,1235.0,5497,\"An open-source, low-code machine learning library in Python.\",78.0,37,True,2022-04-10 22:13:37.000,2.3.10,79.0,pycaret,conda-forge/pycaret,,,,2047.0,2035.0,https://pypi.org/project/pycaret,2022-04-10 22:13:37.000,12.0,500961.0,501423.0,https://anaconda.org/conda-forge/pycaret,2022-04-18 22:24:40.244,8729.0,,,,,1.0,555.0,,,,,,,,,,,,,,,,,,,\n69,Dagster,dagster-io/dagster,data-pipelines,,https://github.com/dagster-io/dagster,https://github.com/dagster-io/dagster,Apache-2.0,2018-04-30 16:30:04.000,2022-04-21 14:12:13.000000,2022-04-21 14:12:12,10164.0,682.0,580,83.0,3372.0,989.0,2995.0,4613,\"An orchestration platform for the development, production, and observation of data assets.\",202.0,37,True,2022-04-14 20:26:22.000,0.14.9,444.0,dagster,conda-forge/dagster,,,,443.0,357.0,https://pypi.org/project/dagster,2022-04-14 20:00:43.000,86.0,184726.0,201295.0,https://anaconda.org/conda-forge/dagster,2022-04-15 14:58:00.485,480515.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n70,tensorflow-probability,tensorflow/probability,probabilistics,,https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000,2022-04-19 16:46:56.000000,2022-04-19 16:46:54,11405.0,159.0,967,167.0,397.0,550.0,668.0,3664,Probabilistic reasoning and statistical analysis in TensorFlow.,443.0,37,True,2022-02-14 17:24:33.000,0.16.0,42.0,tensorflow-probability,conda-forge/tensorflow-probability,,,['tensorflow'],311.0,,https://pypi.org/project/tensorflow-probability,2022-02-14 17:03:04.000,311.0,807522.0,808934.0,https://anaconda.org/conda-forge/tensorflow-probability,2022-01-26 19:31:32.633,53670.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n71,joblib,joblib/joblib,data-pipelines,,https://github.com/joblib/joblib,https://github.com/joblib/joblib,BSD-3-Clause,2010-05-07 06:48:26.000,2022-04-20 10:46:51.000000,2022-03-01 15:56:42,1403.0,18.0,316,63.0,599.0,332.0,395.0,2762,Computing with Python functions.,109.0,37,True,2021-10-07 14:42:42.000,1.1.0,102.0,joblib,conda-forge/joblib,,,,183099.0,178208.0,https://pypi.org/project/joblib,2021-10-07 14:42:42.000,4891.0,23681307.0,23799302.0,https://anaconda.org/conda-forge/joblib,2021-10-07 20:15:36.705,8141658.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n72,MNE,mne-tools/mne-python,medical-data,,https://github.com/mne-tools/mne-python,https://github.com/mne-tools/mne-python,BSD-3-Clause,2011-01-28 03:31:13.000,2022-04-21 14:18:25.000000,2022-04-21 14:16:04,16794.0,204.0,1026,79.0,6551.0,391.0,3631.0,1909,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,285.0,37,True,2022-04-15 15:00:55.000,1.0.2,61.0,mne,conda-forge/mne,,,,1756.0,1545.0,https://pypi.org/project/mne,2022-04-15 15:00:55.000,211.0,40955.0,44032.0,https://anaconda.org/conda-forge/mne,2022-04-15 15:19:37.288,190821.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n73,SageMaker SDK,aws/sagemaker-python-sdk,ml-experiments,,https://github.com/aws/sagemaker-python-sdk,https://github.com/aws/sagemaker-python-sdk,Apache-2.0,2017-11-14 01:03:33.000,2022-04-20 22:11:58.703000,2022-04-20 21:00:47,2463.0,134.0,763,100.0,1940.0,349.0,674.0,1602,A library for training and deploying machine learning models on Amazon SageMaker.,256.0,37,True,2022-04-20 16:44:22.000,2.87.0,420.0,sagemaker,conda-forge/sagemaker-python-sdk,,,\"['mxnet', 'tensorflow']\",1342.0,1295.0,https://pypi.org/project/sagemaker,2022-04-20 16:44:22.000,47.0,5231223.0,5239799.0,https://anaconda.org/conda-forge/sagemaker-python-sdk,2022-04-20 22:11:58.703,248718.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n74,imageio,imageio/imageio,image,,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000,2022-04-20 08:27:23.000000,2022-04-20 08:27:23,1364.0,43.0,205,31.0,354.0,60.0,382.0,1023,Python library for reading and writing image data.,87.0,37,True,2022-04-18 03:20:08.000,2.17.0,52.0,imageio,conda-forge/imageio,,,,62596.0,59985.0,https://pypi.org/project/imageio,2022-04-18 03:20:04.000,2611.0,13107613.0,13150844.0,https://anaconda.org/conda-forge/imageio,2022-04-18 14:34:28.014,2723313.0,,,,,1.0,187.0,,1.0,,,,,,,,,,,,,,,,,\n75,jieba,fxsjy/jieba,chinese-nlp,,https://github.com/fxsjy/jieba,https://github.com/fxsjy/jieba,MIT,2012-09-29 07:52:01.000,2022-04-07 12:41:40.000000,2020-02-15 08:33:35,523.0,,6437,1292.0,163.0,630.0,210.0,28355,Chinese Words Segmentation Utilities.,48.0,36,False,2020-01-20 14:27:23.000,0.42.1,32.0,jieba,conda-forge/jieba,,,,14537.0,13030.0,https://pypi.org/project/jieba,2020-01-20 14:27:23.000,1507.0,657907.0,659635.0,https://anaconda.org/conda-forge/jieba,2021-05-30 19:33:02.597,103689.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n76,fairseq,pytorch/fairseq,nlp,,https://github.com/pytorch/fairseq,https://github.com/pytorch/fairseq,MIT,2017-08-29 16:26:12.000,2022-04-20 21:19:21.000000,2022-04-20 18:21:46,2160.0,54.0,4264,332.0,1035.0,1255.0,2442.0,16718,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,383.0,36,True,2021-01-05 20:26:45.000,0.10.2,13.0,fairseq,conda-forge/fairseq,,,['pytorch'],792.0,761.0,https://pypi.org/project/fairseq,2021-01-05 20:26:45.000,31.0,59124.0,59779.0,https://anaconda.org/conda-forge/fairseq,2021-04-28 18:08:39.753,13674.0,,,,,1.0,211.0,,,,,,,,,,,,,,,,,,,\n77,PyTorch Geometric,pyg-team/pytorch_geometric,graph,,https://github.com/pyg-team/pytorch_geometric,https://github.com/pyg-team/pytorch_geometric,MIT,2017-10-06 16:03:03.000,2022-04-21 14:16:58.000000,2022-04-21 11:10:09,5492.0,190.0,2551,241.0,774.0,937.0,1577.0,14413,Graph Neural Network Library for PyTorch.,263.0,36,True,2022-03-12 16:46:16.000,2.0.4,33.0,torch-geometric,conda-forge/pytorch_geometric,,,['pytorch'],39.0,,https://pypi.org/project/torch-geometric,2022-03-12 16:46:16.000,39.0,69727.0,70013.0,https://anaconda.org/conda-forge/pytorch_geometric,2022-01-19 15:40:54.095,6016.0,,,,,1.0,,,-1.0,,,,,,,,,,,,,,,,,\n78,pyecharts,pyecharts/pyecharts,data-viz,,https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000,2022-04-15 07:18:50.000000,2021-11-16 06:25:52,1522.0,,2625,380.0,435.0,32.0,1564.0,12205,Python Echarts Plotting Library.,30.0,36,True,2021-11-16 06:27:35.000,1.9.1,67.0,pyecharts,,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,['jupyter'],2403.0,2188.0,https://pypi.org/project/pyecharts,2021-11-16 06:27:35.000,215.0,64013.0,64013.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n79,ChatterBot,gunthercox/ChatterBot,nlp,,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00.000,2022-04-08 21:32:31.000000,2021-06-01 10:43:00,1848.0,,3933,553.0,695.0,300.0,1252.0,12172,\"ChatterBot is a machine learning, conversational dialog engine for creating chat bots.\",103.0,36,True,2020-08-22 18:42:43.000,1.0.8,86.0,chatterbot,,,,,4671.0,4321.0,https://pypi.org/project/chatterbot,2020-08-22 18:40:36.000,350.0,66427.0,66427.0,,,,,,,,1.0,,,1.0,,,,,,,,,,,,,,,,,\n80,NNI,microsoft/nni,hyperopt,,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44.000,2022-04-21 14:10:17.000000,2022-04-21 08:37:35,2642.0,171.0,1575,272.0,3053.0,277.0,1315.0,11368,\"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..\",167.0,36,True,2022-04-18 13:06:42.000,2.7,49.0,nni,,,,,250.0,220.0,https://pypi.org/project/nni,2022-04-18 13:14:25.000,30.0,8353.0,8353.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n81,DVC,iterative/dvc,ml-experiments,,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000,2022-04-21 14:33:50.000000,2022-04-21 09:44:55,7427.0,174.0,917,131.0,3798.0,617.0,3004.0,9601,Data Version Control | Git for Data & Models | ML Experiments Management.,265.0,36,True,2022-04-06 08:55:17.000,2.10.1,348.0,dvc,conda-forge/dvc,,,,47.0,,https://pypi.org/project/dvc,2022-04-06 08:55:17.000,47.0,454584.0,489319.0,https://anaconda.org/conda-forge/dvc,2022-04-06 15:51:43.449,1023158.0,,,,,2.0,74624.0,,,,,,,,,dvc,dvc,dvc,,,,,,,,\n82,glfw,glfw/glfw,image,,https://github.com/glfw/glfw,https://github.com/glfw/glfw,Zlib,2013-04-18 15:24:53.000,2022-04-16 01:31:07.000000,2022-04-03 18:09:42,4468.0,70.0,3480,372.0,550.0,446.0,1133.0,8944,\"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.\",179.0,36,False,2022-04-09 06:23:40.000,2.5.3,45.0,glfw,conda-forge/glfw,,,,150.0,1.0,https://pypi.org/project/glfw,2022-04-09 06:23:40.000,149.0,69595.0,102816.0,https://anaconda.org/conda-forge/glfw,2022-04-05 23:26:20.177,49714.0,,,,,2.0,2712651.0,,,,,,,,,,,,,,,,,,,\n83,pandas-profiling,pandas-profiling/pandas-profiling,data-viz,,https://github.com/ydataai/pandas-profiling,https://github.com/ydataai/pandas-profiling,MIT,2016-01-09 23:47:55.000,2022-04-06 14:37:34.000000,2022-04-06 14:37:28,951.0,18.0,1269,151.0,389.0,116.0,446.0,8810,Create HTML profiling reports from pandas DataFrame objects.,86.0,36,True,2021-09-27 23:12:22.000,3.1.0,31.0,pandas-profiling,conda-forge/pandas-profiling,,,\"['jupyter', 'pandas']\",7647.0,7497.0,https://pypi.org/project/pandas-profiling,2021-09-27 23:12:22.000,150.0,1060314.0,1063197.0,https://anaconda.org/conda-forge/pandas-profiling,2021-09-28 13:50:05.966,196106.0,,,,,2.0,,,,,,,,,,,,,ydataai/pandas-profiling,,,,,,,\n84,Great Expectations,great-expectations/great_expectations,data-pipelines,,https://github.com/great-expectations/great_expectations,https://github.com/great-expectations/great_expectations,Apache-2.0,2017-09-11 00:18:46.000,2022-04-21 14:53:35.000000,2022-04-21 14:44:24,8776.0,644.0,928,66.0,3649.0,196.0,1086.0,6437,Always know what to expect from your data.,287.0,36,True,2022-04-15 01:11:52.000,0.15.1,155.0,great_expectations,conda-forge/great-expectations,,,,30.0,,https://pypi.org/project/great_expectations,2022-04-14 22:55:54.000,30.0,4304234.0,4311737.0,https://anaconda.org/conda-forge/great-expectations,2022-04-15 03:27:05.267,367653.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n85,Chainer,chainer/chainer,ml-frameworks,,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37.000,2022-03-08 01:34:55.000000,2022-01-05 04:28:43,30604.0,,1378,290.0,6582.0,9.0,2029.0,5675,A flexible framework of neural networks for deep learning.,320.0,36,True,2022-01-05 05:33:36.000,7.8.1,111.0,chainer,conda-forge/chainer,,,,2972.0,2571.0,https://pypi.org/project/chainer,2022-01-05 05:33:36.000,401.0,18690.0,18970.0,https://anaconda.org/conda-forge/chainer,2022-01-21 17:09:00.786,7299.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n86,espnet,espnet/espnet,audio,,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000,2022-04-21 14:29:58.000000,2022-04-20 20:09:52,14785.0,1090.0,1553,178.0,2485.0,382.0,1490.0,4939,End-to-End Speech Processing Toolkit.,265.0,36,True,2022-04-12 04:36:08.000,.202204,43.0,espnet,,,,,49.0,48.0,https://pypi.org/project/espnet,2022-04-12 04:36:31.000,1.0,5799.0,5800.0,,,,,,,,1.0,76.0,,,,,,,,,,,,,,,,,,,\n87,dbt,dbt-labs/dbt-core,data-pipelines,,https://github.com/dbt-labs/dbt-core,https://github.com/dbt-labs/dbt-core,Apache-2.0,2016-03-10 02:38:00.000,2022-04-21 14:42:16.000000,2022-04-21 12:56:19,5431.0,119.0,845,102.0,2278.0,345.0,2407.0,4565,dbt enables data analysts and engineers to transform their data using the same practices that software engineers use..,207.0,36,True,2022-04-20 17:30:04.000,1.0.5,173.0,dbt,conda-forge/dbt,,,,439.0,410.0,https://pypi.org/project/dbt,2021-12-06 20:32:12.000,29.0,762374.0,765380.0,https://anaconda.org/conda-forge/dbt,2021-12-09 22:07:39.668,195157.0,,,,,2.0,270.0,,,,,,,,,dbt,,,,,,,,,,\n88,Shapely,shapely/shapely,geospatial-data,,https://github.com/shapely/shapely,https://github.com/shapely/shapely,BSD-3-Clause,2011-12-31 19:43:11.000,2022-04-19 20:39:23.000000,2022-04-01 19:21:03,2002.0,14.0,446,87.0,495.0,153.0,704.0,2746,Manipulation and analysis of geometric objects.,131.0,36,True,2022-02-18 00:12:06.000,1.8.1.post1,107.0,shapely,conda-forge/shapely,,,,32203.0,28510.0,https://pypi.org/project/shapely,2022-02-18 00:23:44.000,3693.0,6976847.0,7021457.0,https://anaconda.org/conda-forge/shapely,2022-04-10 11:10:02.290,3479279.0,,,,,1.0,27.0,,,,,,,,,,,,,,,,,,,\n89,Thinc,explosion/thinc,ml-frameworks,,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59.000,2022-04-21 11:24:19.000000,2022-04-21 11:24:19,5057.0,42.0,240,85.0,525.0,23.0,100.0,2507,\"A refreshing functional take on deep learning, compatible with your favorite libraries.\",51.0,36,True,2022-03-15 13:37:06.000,8.0.15,202.0,thinc,conda-forge/thinc,,,,21318.0,20704.0,https://pypi.org/project/thinc,2022-03-15 13:37:06.000,614.0,4063736.0,4095006.0,https://anaconda.org/conda-forge/thinc,2022-03-15 17:15:05.102,1938745.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n90,Rasterio,rasterio/rasterio,geospatial-data,,https://github.com/rasterio/rasterio,https://github.com/rasterio/rasterio,BSD-3-Clause,2013-11-04 16:36:27.000,2022-04-21 13:59:06.000000,2022-04-20 23:47:24,3528.0,53.0,463,155.0,916.0,144.0,1386.0,1709,Rasterio reads and writes geospatial raster datasets.,125.0,36,True,2021-10-21 15:00:11.000,1.3a2,135.0,rasterio,conda-forge/rasterio,,,,5492.0,4727.0,https://pypi.org/project/rasterio,2022-04-21 04:31:56.000,765.0,776347.0,796565.0,https://anaconda.org/conda-forge/rasterio,2022-03-11 00:28:09.879,1475306.0,,,,,1.0,755.0,,1.0,,,,,,,,,,,,,,,,,\n91,TF Addons,tensorflow/addons,tensorflow-utils,,https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17.000,2022-04-20 14:48:49.000000,2022-04-19 18:37:43,1451.0,20.0,503,55.0,1795.0,218.0,710.0,1486,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,190.0,36,True,2022-02-15 18:08:05.000,0.16.1,30.0,tensorflow-addons,,,,['tensorflow'],6229.0,6072.0,https://pypi.org/project/tensorflow-addons,2022-02-15 18:36:55.000,157.0,2061099.0,2061099.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n92,PaddleOCR,PaddlePaddle/PaddleOCR,ocr,,https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000,2022-04-21 12:02:54.000000,2022-04-21 09:31:54,4013.0,146.0,4167,344.0,1759.0,1079.0,3292.0,20057,\"Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages..\",108.0,35,True,2021-05-26 11:43:06.000,2.1.1,24.0,paddleocr,,,,['paddle'],613.0,609.0,https://pypi.org/project/paddleocr,2022-04-02 09:27:01.000,4.0,59609.0,59609.0,,,,,,,,1.0,,,-1.0,,,,,,,,,,,,,,,,,\n93,EasyOCR,JaidedAI/EasyOCR,ocr,,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000,2022-04-09 08:05:04.000000,2022-04-09 08:05:04,498.0,14.0,1971,275.0,159.0,98.0,445.0,14429,\"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..\",98.0,35,True,2022-04-09 07:44:16.000,1.4.2,26.0,easyocr,,,,,1083.0,1059.0,https://pypi.org/project/easyocr,2022-04-09 07:44:16.000,24.0,118134.0,183412.0,,,,,,,,1.0,1436126.0,,,,,,,,,,,,,,,,,,,\n94,Recommenders,microsoft/recommenders,recommender-systems,,https://github.com/microsoft/recommenders,https://github.com/microsoft/recommenders,MIT,2018-09-19 10:06:07.000,2022-04-21 12:00:29.000000,2022-03-31 17:52:29,7654.0,193.0,2210,259.0,1031.0,134.0,542.0,12916,Best Practices on Recommendation Systems.,115.0,35,True,2022-04-01 09:25:04.000,1.1.0,11.0,recommenders,,,,,20.0,18.0,https://pypi.org/project/recommenders,2022-04-01 08:49:49.000,2.0,70439.0,70442.0,,,,,,,,1.0,148.0,,,,,,,,,,,,,,,,,,,\n95,imgaug,aleju/imgaug,image,,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33.000,2022-04-19 16:23:54.000000,2020-06-01 14:58:26,2913.0,,2240,228.0,330.0,265.0,220.0,12523,Image augmentation for machine learning experiments.,36.0,35,False,2020-02-06 06:18:40.000,0.4.0,11.0,imgaug,conda-forge/imgaug,,,,10034.0,9679.0,https://pypi.org/project/imgaug,2020-02-05 20:54:22.000,355.0,421748.0,423700.0,https://anaconda.org/conda-forge/imgaug,2021-12-31 00:20:29.231,66385.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n96,horovod,horovod/horovod,distributed-ml,,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000,2022-04-21 11:29:10.000000,2022-04-20 22:41:05,1172.0,42.0,2047,334.0,1369.0,310.0,1702.0,12330,\"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.\",144.0,35,True,2022-04-21 08:29:28.000,0.24.3,71.0,horovod,,,,,588.0,558.0,https://pypi.org/project/horovod,2022-04-21 08:29:28.000,30.0,54684.0,54684.0,,,,,,,,1.0,,stable/horovod,-1.0,,,,,,,,,,,,,,,,,\n97,dgl,dmlc/dgl,graph,,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000,2022-04-21 10:35:04.000000,2022-04-15 16:35:06,2211.0,134.0,2106,172.0,2512.0,306.0,1232.0,9377,\"Python package built to ease deep learning on graph, on top of existing DL frameworks.\",198.0,35,True,2022-04-17 05:19:36.000,0.8.1,439.0,dgl,,,,,40.0,,https://pypi.org/project/dgl,2022-03-16 02:32:44.000,40.0,32943.0,32943.0,,,,,,,,1.0,,,1.0,,,,,,,,,,,,,,,,,\n98,MoviePy,Zulko/moviepy,image,,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000,2022-04-17 11:05:16.000000,2022-03-26 19:54:42,1074.0,2.0,1238,243.0,607.0,286.0,875.0,9158,Video editing with Python.,147.0,35,True,2020-05-07 16:29:35.000,1.0.3,85.0,moviepy,conda-forge/moviepy,,,,15838.0,15088.0,https://pypi.org/project/moviepy,2020-10-05 00:26:29.000,750.0,3401642.0,3403523.0,https://anaconda.org/conda-forge/moviepy,2022-04-16 23:09:18.943,107250.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n99,ParlAI,facebookresearch/ParlAI,nlp,,https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44.000,2022-04-20 21:32:15.000000,2022-04-20 16:45:55,4125.0,79.0,1766,287.0,3110.0,92.0,1218.0,8769,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,179.0,35,True,2022-03-30 19:34:02.000,1.6.0,22.0,parlai,,,,['pytorch'],73.0,70.0,https://pypi.org/project/parlai,2022-03-30 19:34:02.000,3.0,1907.0,1907.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n100,PySyft,OpenMined/PySyft,privacy-ml,,https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,Apache-2.0,2017-07-18 20:41:16.000,2022-04-21 14:48:29.000000,2022-04-21 04:01:26,14211.0,1255.0,1806,212.0,3321.0,336.0,2763.0,8057,A library for answering questions using data you cannot see.,439.0,35,True,2021-12-01 19:46:09.000,0.6.0,73.0,syft,,,,['pytorch'],5.0,,https://pypi.org/project/syft,2022-04-20 07:31:01.000,5.0,4198.0,4198.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n101,Vowpal Wabbit,VowpalWabbit/vowpal_wabbit,ml-frameworks,,https://github.com/VowpalWabbit/vowpal_wabbit,https://github.com/VowpalWabbit/vowpal_wabbit,BSD-3-Clause,2009-07-31 19:36:58.000,2022-04-19 20:12:46.000000,2022-04-19 20:12:45,9826.0,191.0,1797,364.0,2720.0,130.0,1042.0,7929,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,315.0,35,True,2022-04-06 16:26:31.000,9.1.0,21.0,vowpalwabbit,conda-forge/vowpalwabbit,,,,30.0,,https://pypi.org/project/vowpalwabbit,2022-04-06 16:26:31.000,30.0,57249.0,58980.0,https://anaconda.org/conda-forge/vowpalwabbit,2022-04-07 14:53:54.020,57124.0,,,,,2.0,,,-1.0,,,,,,,,,,,,,,,,,\n102,sentence-transformers,UKPLab/sentence-transformers,nlp,,https://github.com/UKPLab/sentence-transformers,https://github.com/UKPLab/sentence-transformers,Apache-2.0,2019-07-24 10:53:51.000,2022-04-21 14:55:53.000000,2022-04-21 14:55:52,1081.0,43.0,1459,108.0,148.0,703.0,675.0,7529,Multilingual Sentence & Image Embeddings with BERT.,77.0,35,True,2022-02-10 13:12:24.000,2.2.0,40.0,sentence-transformers,conda-forge/sentence-transformers,,,['pytorch'],3048.0,2953.0,https://pypi.org/project/sentence-transformers,2021-10-01 08:44:06.000,95.0,1787521.0,1788504.0,https://anaconda.org/conda-forge/sentence-transformers,2022-02-20 20:12:27.598,18678.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n103,Kedro,kedro-org/kedro,data-pipelines,,https://github.com/kedro-org/kedro,https://github.com/kedro-org/kedro,Apache-2.0,2019-04-18 10:29:56.000,2022-04-21 14:38:50.000000,2022-04-21 08:37:32,1886.0,156.0,640,106.0,636.0,81.0,624.0,7092,\"A Python framework for creating reproducible, maintainable and modular data science code.\",150.0,35,True,2022-03-31 16:07:31.000,0.18.0,32.0,kedro,,,,,869.0,833.0,https://pypi.org/project/kedro,2022-03-31 16:07:31.000,36.0,330544.0,330544.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n104,Kornia,kornia/kornia,image,,https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000,2022-04-20 12:56:04.000000,2022-04-20 12:56:03,2016.0,71.0,620,110.0,1060.0,158.0,416.0,6249,Open Source Differentiable Computer Vision Library.,165.0,35,True,2022-03-21 14:49:42.000,0.6.4,28.0,kornia,conda-forge/kornia,,,['pytorch'],1252.0,1206.0,https://pypi.org/project/kornia,2022-03-21 14:49:42.000,46.0,244068.0,244699.0,https://anaconda.org/conda-forge/kornia,2022-03-21 17:47:24.012,14401.0,,,,,2.0,240.0,,,,,,,,,,,,,,,,,,,\n105,Gradio,gradio-app/gradio,others,,https://github.com/gradio-app/gradio,https://github.com/gradio-app/gradio,Apache-2.0,2018-12-19 08:24:04.000,2022-04-21 15:02:20.000000,2022-04-21 09:27:12,3928.0,917.0,388,71.0,403.0,117.0,419.0,5941,\"Wrap UIs around any model, share with anyone.\",70.0,35,True,2022-04-15 06:32:08.000,2.9.4,232.0,gradio,,,,,715.0,697.0,https://pypi.org/project/gradio,2022-04-21 15:01:17.000,18.0,117122.0,117122.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n106,imbalanced-learn,scikit-learn-contrib/imbalanced-learn,sklearn-utils,,https://github.com/scikit-learn-contrib/imbalanced-learn,https://github.com/scikit-learn-contrib/imbalanced-learn,MIT,2014-08-16 05:08:26.000,2022-03-18 17:20:24.000000,2022-03-18 17:20:24,767.0,3.0,1161,149.0,408.0,62.0,454.0,5822,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,63.0,35,True,2022-01-16 15:04:04.000,0.9.0,29.0,imbalanced-learn,conda-forge/imbalanced-learn,,,['sklearn'],10597.0,10354.0,https://pypi.org/project/imbalanced-learn,2022-01-11 18:09:58.000,243.0,2645931.0,2649617.0,https://anaconda.org/conda-forge/imbalanced-learn,2022-01-11 19:44:20.853,199091.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n107,folium,python-visualization/folium,geospatial-data,,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000,2022-02-27 09:07:11.000000,2022-01-08 17:19:52,1517.0,,2044,172.0,668.0,204.0,715.0,5703,Python Data. Leaflet.js Maps.,126.0,35,True,2021-11-19 21:01:43.000,0.12.1.post1,26.0,folium,conda-forge/folium,,,,16048.0,15417.0,https://pypi.org/project/folium,2021-11-19 21:08:10.000,631.0,985009.0,994510.0,https://anaconda.org/conda-forge/folium,2021-12-03 19:47:05.533,693595.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n108,UMAP,lmcinnes/umap,data-viz,,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17.000,2022-04-14 03:58:56.571000,2022-04-13 22:30:40,1574.0,11.0,630,123.0,207.0,325.0,288.0,5524,Uniform Manifold Approximation and Projection.,98.0,35,True,2022-04-13 21:20:36.000,0.5.3,37.0,umap-learn,conda-forge/umap-learn,,,,5400.0,5092.0,https://pypi.org/project/umap-learn,2022-04-13 21:20:36.000,308.0,757243.0,777758.0,https://anaconda.org/conda-forge/umap-learn,2022-04-14 03:58:56.571,984720.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n109,sktime,alan-turing-institute/sktime,time-series-data,,https://github.com/alan-turing-institute/sktime,https://github.com/alan-turing-institute/sktime,BSD-3-Clause,2018-11-06 15:08:24.000,2022-04-21 14:39:50.000000,2022-04-21 10:04:10,2502.0,265.0,831,110.0,1341.0,366.0,724.0,5240,A unified framework for machine learning with time series.,166.0,35,True,2022-04-11 21:17:44.000,0.11.2,22.0,sktime,conda-forge/sktime-all-extras,,,['sklearn'],434.0,411.0,https://pypi.org/project/sktime,2022-04-11 21:17:44.000,23.0,122101.0,122431.0,https://anaconda.org/conda-forge/sktime-all-extras,2022-04-12 11:42:48.430,2956.0,,,,,1.0,72.0,,,,,,,,,,,,,,,,,,,\n110,wandb client,wandb/client,ml-experiments,,https://github.com/wandb/client,https://github.com/wandb/client,MIT,2017-03-24 05:46:23.000,2022-04-20 23:46:35.000000,2022-04-20 02:55:06,4516.0,155.0,309,35.0,1883.0,418.0,1369.0,3829,A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.,107.0,35,True,2022-04-08 21:22:21.000,0.12.14,220.0,wandb,conda-forge/wandb,,,,232.0,,https://pypi.org/project/wandb,2022-04-08 18:23:27.000,232.0,1592035.0,1594409.0,https://anaconda.org/conda-forge/wandb,2022-04-11 14:19:16.792,49861.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n111,TensorFlow Datasets,tensorflow/datasets,tensorflow-utils,,https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000,2022-04-21 11:27:38.000000,2022-04-21 08:03:48,4743.0,170.0,1203,103.0,2930.0,525.0,613.0,3219,\"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...\",249.0,35,True,2022-01-31 15:45:29.000,4.5.2,26.0,tensorflow-datasets,conda-forge/tensorflow-datasets,,,['tensorflow'],151.0,,https://pypi.org/project/tensorflow-datasets,2022-01-31 15:42:28.000,151.0,1278481.0,1278837.0,https://anaconda.org/conda-forge/tensorflow-datasets,2021-08-17 15:33:14.368,3926.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n112,GeoPandas,geopandas/geopandas,geospatial-data,,https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000,2022-04-21 11:09:50.000000,2022-04-21 09:36:24,1566.0,42.0,682,107.0,1163.0,400.0,921.0,3098,Python tools for geographic data.,172.0,35,True,2021-10-16 06:59:55.000,0.10.2,40.0,geopandas,conda-forge/geopandas,,,['pandas'],14349.0,13259.0,https://pypi.org/project/geopandas,2021-10-16 06:59:50.000,1090.0,2349803.0,2370145.0,https://anaconda.org/conda-forge/geopandas,2021-12-01 18:19:27.710,1483503.0,,,,,2.0,1483.0,,-1.0,,,,,,,,,,,,,,,,,\n113,tensorflow-hub,tensorflow/hub,tensorflow-utils,,https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42.000,2022-04-18 09:24:14.000000,2022-04-18 09:24:12,1055.0,31.0,1629,139.0,203.0,14.0,629.0,3084,A library for transfer learning by reusing parts of TensorFlow models.,90.0,35,True,2021-04-14 13:17:26.000,0.12.0,15.0,tensorflow-hub,conda-forge/tensorflow-hub,,,['tensorflow'],11594.0,11310.0,https://pypi.org/project/tensorflow-hub,2021-04-14 12:54:13.000,284.0,3837419.0,3838753.0,https://anaconda.org/conda-forge/tensorflow-hub,2021-04-18 18:01:14.779,61383.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n114,AzureML SDK,Azure/MachineLearningNotebooks,ml-experiments,,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000,2022-04-04 22:25:25.000000,2022-04-04 21:47:18,1189.0,25.0,2054,2067.0,468.0,237.0,1029.0,2951,Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft.,60.0,35,True,2022-02-28 16:35:33.000,1.39.0,87.0,azureml-sdk,,,,,45.0,,https://pypi.org/project/azureml-sdk,2022-03-29 17:46:48.000,45.0,833554.0,833564.0,,,,,,,,2.0,447.0,,,,,,,,,,,,,,,,,,,\n115,Flax,google/flax,ml-frameworks,,https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000,2022-04-20 10:04:24.000000,2022-04-20 03:31:23,2692.0,273.0,320,73.0,1211.0,162.0,345.0,2869,Flax is a neural network library for JAX that is designed for flexibility.,142.0,35,True,2022-03-23 14:34:29.000,0.4.1,17.0,flax,conda-forge/flax,,,['jax'],906.0,843.0,https://pypi.org/project/flax,2022-03-23 14:34:29.000,63.0,132625.0,132880.0,https://anaconda.org/conda-forge/flax,2022-03-23 23:59:23.803,3308.0,,,,,2.0,38.0,,,,,,,,,,,,,,,,,,,\n116,spark-nlp,JohnSnowLabs/spark-nlp,nlp,,https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000,2022-04-21 13:56:06.000000,2022-04-20 09:27:36,15725.0,1903.0,546,90.0,7324.0,131.0,615.0,2687,State of the Art Natural Language Processing.,121.0,35,True,2022-04-12 20:08:39.000,3.4.3,102.0,spark-nlp,,,,['spark'],10.0,,https://pypi.org/project/spark-nlp,2022-04-12 15:18:25.000,10.0,3187610.0,3187610.0,,,,,,,,1.0,,,-1.0,,,,,,,,,,,,,,,,,\n117,HoloViews,holoviz/holoviews,data-viz,,https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000,2022-04-15 18:55:05.000000,2022-04-15 17:21:10,10307.0,37.0,354,61.0,2492.0,861.0,1924.0,2168,\"With Holoviews, your data visualizes itself.\",120.0,35,True,2022-02-16 13:26:03.000,1.14.8,85.0,holoviews,conda-forge/holoviews,,,['jupyter'],209.0,,https://pypi.org/project/holoviews,2022-04-15 18:55:05.000,209.0,459711.0,471177.0,https://anaconda.org/conda-forge/holoviews,2022-02-16 13:45:49.563,679370.0,,,,,2.0,,,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,2020-05-24 13:49:54.205,,1898.0,,,,,,,,,,,,\n118,Graphviz,xflr6/graphviz,data-viz,,https://github.com/xflr6/graphviz,https://github.com/xflr6/graphviz,MIT,2014-01-12 17:49:29.000,2022-04-17 16:58:20.000000,2022-04-17 16:58:13,1162.0,30.0,179,29.0,35.0,5.0,128.0,1173,Simple Python interface for Graphviz.,18.0,35,True,2022-04-08 20:21:52.000,0.19.2,55.0,graphviz,anaconda/python-graphviz,,,,33281.0,30307.0,https://pypi.org/project/graphviz,2022-04-16 15:32:15.000,2974.0,10080148.0,10080468.0,https://anaconda.org/anaconda/python-graphviz,2021-02-04 16:09:32.067,19207.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n119,PyTables,PyTables/PyTables,data-containers,,https://github.com/PyTables/PyTables,https://github.com/PyTables/PyTables,BSD-3-Clause,2011-06-03 19:44:46.000,2022-04-19 08:28:49.000000,2022-04-19 08:05:29,4126.0,62.0,218,58.0,310.0,178.0,500.0,1119,A Python package to manage extremely large amounts of data.,106.0,35,True,2021-12-28 21:59:09.000,3.7.0,35.0,tables,conda-forge/pytables,,,,2324.0,,https://pypi.org/project/tables,2021-12-28 21:42:08.000,2324.0,880679.0,939772.0,https://anaconda.org/conda-forge/pytables,2022-01-25 19:32:03.999,4018205.0,,,,,2.0,168.0,,,,,,,,,,,,,,,,,,,\n120,Nilearn,nilearn/nilearn,medical-data,,https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000,2022-04-21 09:05:14.000000,2022-04-20 14:49:39,9595.0,51.0,438,78.0,1669.0,270.0,1325.0,826,Machine learning for NeuroImaging in Python.,181.0,35,True,2022-04-13 13:12:02.000,0.9.1,40.0,nilearn,conda-forge/nilearn,,,['sklearn'],1720.0,1482.0,https://pypi.org/project/nilearn,2022-04-13 13:08:52.000,238.0,22193.0,24261.0,https://anaconda.org/conda-forge/nilearn,2022-04-13 18:14:56.456,146669.0,,,,,1.0,36.0,,,,,,,,,,,,,,,,,,,\n121,pyproj,pyproj4/pyproj,geospatial-data,,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000,2022-04-21 02:05:07.000000,2022-04-21 02:02:25,1312.0,29.0,176,29.0,520.0,16.0,470.0,744,Python interface to PROJ (cartographic projections and coordinate transformations library).,49.0,35,True,2021-11-18 01:52:35.000,3.3.0,44.0,pyproj,conda-forge/pyproj,,,,15508.0,13883.0,https://pypi.org/project/pyproj,2021-11-18 01:52:35.000,1625.0,4643350.0,4685981.0,https://anaconda.org/conda-forge/pyproj,2022-04-15 23:06:31.165,3239980.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n122,NIPYPE,nipy/nipype,medical-data,,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000,2022-04-19 18:54:05.000000,2022-04-07 18:35:23,14376.0,57.0,487,49.0,2194.0,374.0,903.0,626,Workflows and interfaces for neuroimaging packages.,229.0,35,True,2022-04-05 15:25:59.000,1.7.1,57.0,nipype,conda-forge/nipype,,,,1048.0,896.0,https://pypi.org/project/nipype,2022-04-05 15:22:58.000,152.0,53988.0,60718.0,https://anaconda.org/conda-forge/nipype,2022-04-05 16:30:07.606,464434.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n123,detectron2,facebookresearch/detectron2,image,,https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000,2022-04-21 01:33:56.000000,2022-04-19 00:56:32,1345.0,13.0,5449,346.0,459.0,176.0,2749.0,20593,\"Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.\",202.0,34,True,2021-11-15 22:08:26.000,0.6,10.0,detectron2,conda-forge/detectron2,,,['pytorch'],585.0,582.0,https://pypi.org/project/detectron2,2020-02-06 00:35:57.000,3.0,,1951.0,https://anaconda.org/conda-forge/detectron2,2022-02-28 09:08:57.924,44893.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n124,Faiss,facebookresearch/faiss,nn-search,,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000,2022-04-20 10:45:15.000000,2022-04-20 10:44:09,617.0,30.0,2543,446.0,492.0,197.0,1597.0,16738,A library for efficient similarity search and clustering of dense vectors.,96.0,34,True,2022-04-02 07:36:26.000,2.0.2,61.0,pymilvus,conda-forge/faiss,,,,629.0,614.0,https://pypi.org/project/pymilvus,2022-04-02 07:36:26.000,15.0,37076.0,49361.0,https://anaconda.org/conda-forge/faiss,2022-02-09 02:10:28.516,282566.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n125,tensor2tensor,tensorflow/tensor2tensor,tensorflow-utils,,https://github.com/tensorflow/tensor2tensor,https://github.com/tensorflow/tensor2tensor,Apache-2.0,2017-06-15 16:57:39.000,2022-04-15 18:02:24.000000,2022-04-15 18:02:23,4371.0,9.0,2989,449.0,665.0,564.0,669.0,12195,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,239.0,34,True,2020-06-17 16:15:36.000,1.15.7,79.0,tensor2tensor,,,,['tensorflow'],1253.0,1160.0,https://pypi.org/project/tensor2tensor,2020-06-17 16:15:36.000,93.0,14216.0,14216.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n126,InsightFace,deepinsight/insightface,image,,https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,MIT,2017-09-01 00:36:51.000,2022-04-16 10:58:32.000000,2022-04-16 10:58:32,2025.0,60.0,3697,455.0,117.0,1018.0,850.0,11627,State-of-the-art 2D and 3D Face Analysis Project.,42.0,34,True,2022-01-29 17:29:00.000,0.6.2,24.0,insightface,,,,['mxnet'],157.0,152.0,https://pypi.org/project/insightface,2022-01-29 17:29:00.000,5.0,20749.0,20749.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n127,AutoKeras,keras-team/autokeras,hyperopt,,https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20.000,2022-04-21 13:00:38.000000,2022-04-11 06:03:06,1306.0,28.0,1349,311.0,804.0,77.0,735.0,8449,AutoML library for deep learning.,134.0,34,True,2022-02-18 08:27:53.000,1.0.18,55.0,autokeras,,,,['tensorflow'],309.0,299.0,https://pypi.org/project/autokeras,2022-02-18 08:27:53.000,10.0,52486.0,52551.0,,,,,,,,1.0,3496.0,,,,,,,,,,,,,,,,,,,\n128,TextBlob,sloria/TextBlob,nlp,,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18.000,2021-12-15 14:34:36.304000,2021-10-22 03:17:05,562.0,,1057,269.0,155.0,101.0,155.0,8123,\"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..\",35.0,34,True,2021-10-22 03:18:24.000,0.17.1,59.0,textblob,conda-forge/textblob,,,,20662.0,19294.0,https://pypi.org/project/textblob,2021-12-15 14:34:36.304,1368.0,931453.0,933735.0,https://anaconda.org/conda-forge/textblob,2019-02-24 23:32:55.233,155199.0,,,,,2.0,98.0,,,,,,,,,,,,,,,,,,,\n129,tensorboardX,lanpa/tensorboardX,ml-experiments,,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19.000,2022-02-23 01:15:05.984000,2022-02-19 15:16:23,483.0,4.0,850,85.0,231.0,72.0,366.0,7313,\"tensorboard for pytorch (and chainer, mxnet, numpy, ...).\",70.0,34,True,2021-11-21 09:12:04.000,2.4.1,17.0,tensorboardX,conda-forge/tensorboardx,,,,19507.0,18631.0,https://pypi.org/project/tensorboardX,2022-02-22 14:24:47.000,876.0,1501595.0,1514651.0,https://anaconda.org/conda-forge/tensorboardx,2022-02-23 01:15:05.984,665550.0,,,,,2.0,348.0,,,,,,,,,,,,,,,,,,,\n130,Modin,modin-project/modin,data-containers,,https://github.com/modin-project/modin,https://github.com/modin-project/modin,Apache-2.0,2018-06-21 21:35:05.000,2022-04-21 14:02:12.000000,2022-04-21 06:54:28,1795.0,117.0,496,109.0,1829.0,854.0,1762.0,7127,Modin: Speed up your Pandas workflows by changing a single line of code.,90.0,34,True,2022-03-29 17:25:27.000,0.14.0,52.0,modin,conda-forge/modin-core,,,['pandas'],650.0,624.0,https://pypi.org/project/modin,2022-03-29 17:25:27.000,26.0,211916.0,222356.0,https://anaconda.org/conda-forge/modin-core,2022-03-30 01:11:12.341,54759.0,,,,,2.0,196061.0,,,,,,,,,,,,,,,,,,,\n131,yfinance,ranaroussi/yfinance,financial-data,,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000,2022-02-19 10:01:10.000000,2022-01-30 12:13:53,397.0,9.0,1510,198.0,218.0,430.0,338.0,6926,Download market data from Yahoo! Finances API.,53.0,34,True,2022-01-30 12:14:45.000,0.1.70,35.0,yfinance,ranaroussi/yfinance,,,,10994.0,10875.0,https://pypi.org/project/yfinance,2022-01-30 12:14:45.000,119.0,327764.0,332062.0,https://anaconda.org/ranaroussi/yfinance,2021-07-10 20:29:09.532,38683.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n132,Hyperopt,hyperopt/hyperopt,hyperopt,,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59.000,2022-03-01 20:30:54.000000,2021-11-29 10:21:36,1194.0,,924,127.0,253.0,363.0,234.0,6173,Distributed Asynchronous Hyperparameter Optimization in Python.,93.0,34,True,2021-11-17 10:05:44.000,0.2.7,13.0,hyperopt,conda-forge/hyperopt,,,,6687.0,6287.0,https://pypi.org/project/hyperopt,2021-11-17 10:05:44.000,400.0,2266769.0,2275696.0,https://anaconda.org/conda-forge/hyperopt,2020-10-14 07:57:14.292,383902.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n133,sentencepiece,google/sentencepiece,nlp,,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000,2022-04-12 05:44:27.000000,2022-04-12 05:44:27,712.0,11.0,786,109.0,230.0,58.0,481.0,5820,Unsupervised text tokenizer for Neural Network-based text generation.,64.0,34,True,2021-06-18 09:34:31.000,0.1.96,31.0,sentencepiece,conda-forge/sentencepiece,,,,14629.0,14278.0,https://pypi.org/project/sentencepiece,2021-06-18 09:34:31.000,351.0,5629605.0,5638347.0,https://anaconda.org/conda-forge/sentencepiece,2022-04-08 22:58:03.701,173704.0,,,,,2.0,20732.0,,,,,,,,,,,,,,,,,,,\n134,Tokenizers,huggingface/tokenizers,nlp,,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000,2022-04-21 14:08:29.000000,2022-04-14 14:29:50,1563.0,43.0,461,101.0,379.0,188.0,432.0,5530,Fast State-of-the-Art Tokenizers optimized for Research and Production.,55.0,34,True,2022-04-13 10:17:35.000,0.12.1,71.0,tokenizers,conda-forge/tokenizers,,,,148.0,45.0,https://pypi.org/project/tokenizers,2022-04-13 10:17:35.000,103.0,6735208.0,6741554.0,https://anaconda.org/conda-forge/tokenizers,2022-04-13 14:08:42.133,133282.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n135,PyOD,yzhao062/pyod,others,,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04.000,2022-04-20 02:35:43.000000,2022-04-04 02:14:09,1456.0,42.0,1069,149.0,156.0,125.0,125.0,5493,A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection).,37.0,34,True,2022-04-04 02:49:41.000,0.9.9,77.0,pyod,conda-forge/pyod,,,,1278.0,1246.0,https://pypi.org/project/pyod,2022-04-04 02:44:51.000,32.0,492896.0,493652.0,https://anaconda.org/conda-forge/pyod,2022-04-04 05:55:39.076,18907.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n136,librosa,librosa/librosa,audio,,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000,2022-04-19 17:23:38.000000,2022-04-19 15:38:22,3143.0,13.0,787,135.0,514.0,35.0,924.0,5126,Python library for audio and music analysis.,95.0,34,True,2022-02-15 23:14:52.000,0.9.1,34.0,librosa,conda-forge/librosa,,,,1172.0,,https://pypi.org/project/librosa,2022-02-15 23:14:52.000,1172.0,883366.0,889856.0,https://anaconda.org/conda-forge/librosa,2022-02-15 23:33:02.381,447819.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n137,MLxtend,rasbt/mlxtend,sklearn-utils,,https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16.000,2022-04-20 20:33:31.000000,2022-03-19 17:00:27,1276.0,13.0,741,119.0,459.0,100.0,302.0,3878,A library of extension and helper modules for Pythons data analysis and machine learning libraries.,87.0,34,True,2021-09-03 00:02:55.000,0.19.0,47.0,mlxtend,conda-forge/mlxtend,,,['sklearn'],5829.0,5684.0,https://pypi.org/project/mlxtend,2021-09-03 00:02:55.000,145.0,1574694.0,1578195.0,https://anaconda.org/conda-forge/mlxtend,2021-09-03 13:27:33.719,199573.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n138,geopy,geopy/geopy,geospatial-data,,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000,2022-04-18 16:47:42.000000,2021-09-26 10:28:21,1072.0,,557,98.0,251.0,27.0,228.0,3617,Geocoding library for Python.,124.0,34,True,2021-07-11 12:18:10.000,2.2.0,58.0,geopy,conda-forge/geopy,,,,40605.0,36726.0,https://pypi.org/project/geopy,2021-07-11 12:15:26.000,3879.0,3322820.0,3332202.0,https://anaconda.org/conda-forge/geopy,2021-07-12 18:34:05.605,684899.0,,,,,2.0,,,2.0,,,,,,,,,,,,,,,,,\n139,DeepChem,deepchem/deepchem,others,,https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000,2022-04-18 17:57:52.000000,2022-04-08 02:16:00,7560.0,155.0,1265,151.0,1495.0,451.0,1000.0,3559,\"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.\",189.0,34,True,2022-01-18 21:35:03.000,2.6.1,401.0,deepchem,conda-forge/deepchem,,,['tensorflow'],88.0,84.0,https://pypi.org/project/deepchem,2022-04-08 03:15:31.000,4.0,11582.0,11933.0,https://anaconda.org/conda-forge/deepchem,2022-01-19 16:40:21.191,9148.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n140,opencv-python,opencv/opencv-python,image,,https://github.com/opencv/opencv-python,https://github.com/opencv/opencv-python,MIT,2016-04-08 13:36:40.000,2022-04-12 08:06:05.000000,2022-04-12 08:06:05,847.0,27.0,525,79.0,120.0,40.0,499.0,2699,\"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..\",38.0,34,True,2022-03-04 06:31:59.000,64,63.0,opencv-python,,,,,8937.0,,https://pypi.org/project/opencv-python,2022-03-09 05:54:04.000,8937.0,5241662.0,5241662.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n141,ipyparallel,ipython/ipyparallel,distributed-ml,,https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,BSD-3-Clause,2015-04-09 07:43:55.000,2022-04-21 08:21:53.000000,2022-04-21 06:40:34,2608.0,69.0,880,113.0,373.0,49.0,272.0,2178,IPython Parallel: Interactive Parallel Computing in Python.,109.0,34,True,2022-02-07 14:22:40.000,8.2.0,38.0,ipyparallel,conda-forge/ipyparallel,,,['jupyter'],2181.0,1895.0,https://pypi.org/project/ipyparallel,2022-04-01 18:12:45.000,286.0,55025.0,63136.0,https://anaconda.org/conda-forge/ipyparallel,2022-04-01 20:58:50.658,583992.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n142,numexpr,pydata/numexpr,data-containers,,https://github.com/pydata/numexpr,https://github.com/pydata/numexpr,MIT,2013-11-30 22:33:48.000,2022-04-20 23:36:55.000000,2022-04-14 04:24:32,725.0,21.0,172,58.0,82.0,61.0,260.0,1745,\"Fast numerical array expression evaluator for Python, NumPy, PyTables, pandas, bcolz and more.\",61.0,34,True,2021-12-10 22:03:53.000,2.8.1,43.0,numexpr,conda-forge/numexpr,,,,2973.0,,https://pypi.org/project/numexpr,2021-12-15 14:40:01.971,2973.0,3576322.0,3633976.0,https://anaconda.org/conda-forge/numexpr,2022-04-11 00:42:28.436,3920521.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n143,Fiona,Toblerity/Fiona,geospatial-data,,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00.000,2022-04-04 10:37:05.000000,2022-03-01 20:04:14,1294.0,19.0,178,46.0,415.0,77.0,597.0,906,Fiona reads and writes geographic data files.,66.0,34,True,2022-02-07 17:34:18.000,1.8.21,99.0,fiona,conda-forge/fiona,,,,9132.0,8359.0,https://pypi.org/project/fiona,2022-02-07 17:17:02.000,773.0,2688056.0,2725344.0,https://anaconda.org/conda-forge/fiona,2022-03-26 18:46:30.295,2722037.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n144,Bottleneck,pydata/bottleneck,data-containers,,https://github.com/pydata/bottleneck,https://github.com/pydata/bottleneck,BSD-2-Clause,2010-11-27 23:21:22.000,2022-04-10 23:01:44.769000,2022-03-02 22:51:26,1253.0,12.0,84,27.0,186.0,41.0,185.0,731,Fast NumPy array functions written in C.,25.0,34,True,2022-02-22 12:05:02.000,1.3.4,30.0,Bottleneck,conda-forge/bottleneck,,,,33756.0,32190.0,https://pypi.org/project/Bottleneck,2022-02-22 12:05:02.000,1566.0,494383.0,523358.0,https://anaconda.org/conda-forge/bottleneck,2022-04-10 23:01:44.769,2057241.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n145,NiBabel,nipy/nibabel,medical-data,,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30.000,2022-04-01 19:46:05.000000,2022-03-19 22:51:40,5123.0,52.0,234,41.0,672.0,140.0,316.0,471,Python package to access a cacophony of neuro-imaging file formats.,93.0,34,True,2022-02-07 16:58:12.000,3.2.2,33.0,nibabel,conda-forge/nibabel,,,,7825.0,6856.0,https://pypi.org/project/nibabel,2022-02-07 16:58:12.000,969.0,199500.0,205479.0,https://anaconda.org/conda-forge/nibabel,2022-02-07 20:18:47.734,424523.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n146,Face Recognition,ageitgey/face_recognition,image,,https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39.000,2022-04-03 13:40:00.000000,2021-06-14 10:10:40,219.0,,12060,1590.0,192.0,679.0,559.0,43946,The worlds simplest facial recognition api for Python and the command line.,47.0,33,True,2018-08-21 18:34:21.000,1.2.3,21.0,face_recognition,conda-forge/face_recognition,,,['pytorch'],207.0,,https://pypi.org/project/face_recognition,2018-08-21 18:34:21.000,207.0,50279.0,50586.0,https://anaconda.org/conda-forge/face_recognition,2021-04-30 19:06:15.265,5704.0,,,,,2.0,457.0,,,,,,,,,,,,,,,,,,,\n147,fastText,facebookresearch/fastText,nlp,,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000,2022-04-18 12:49:35.000000,2022-03-04 15:19:01,381.0,2.0,4392,859.0,242.0,470.0,602.0,23546,Library for fast text representation and classification.,59.0,33,True,2020-04-28 09:54:50.000,0.9.2,35.0,fasttext,conda-forge/fasttext,,,,3011.0,2835.0,https://pypi.org/project/fasttext,2020-04-28 09:54:50.000,176.0,541874.0,542394.0,https://anaconda.org/conda-forge/fasttext,2022-04-16 18:03:36.665,28103.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n148,Magenta,magenta/magenta,audio,,https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40.000,2022-04-16 00:54:37.000000,2022-04-16 00:54:32,1407.0,13.0,3518,788.0,1113.0,321.0,573.0,17547,Magenta: Music and Art Generation with Machine Intelligence.,151.0,33,True,2020-11-12 19:17:18.000,2.1.3,66.0,magenta,,,,['tensorflow'],385.0,349.0,https://pypi.org/project/magenta,2020-11-12 19:17:18.000,36.0,5347.0,5347.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n149,Prophet,facebook/prophet,time-series-data,,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000,2022-04-11 23:43:11.000000,2022-04-04 14:06:59,707.0,10.0,4101,419.0,347.0,206.0,1587.0,14329,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,143.0,33,True,2021-04-02 23:45:16.000,1.0,14.0,fbprophet,conda-forge/prophet,,,,126.0,,https://pypi.org/project/fbprophet,2020-09-05 16:12:50.000,126.0,1306019.0,1309303.0,https://anaconda.org/conda-forge/prophet,2021-08-23 03:00:23.164,39298.0,,,,,1.0,645.0,,,,,,,,,,,,,,,,,,,\n150,wordcloud,amueller/word_cloud,data-viz,,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59.000,2022-03-01 04:24:50.000000,2021-11-13 00:48:18,549.0,,2152,216.0,208.0,110.0,366.0,8710,A little word cloud generator in Python.,64.0,33,True,2020-11-11 21:41:02.000,1.8.1,16.0,wordcloud,conda-forge/wordcloud,,,,710.0,,https://pypi.org/project/wordcloud,2020-11-11 21:41:02.000,710.0,662308.0,666268.0,https://anaconda.org/conda-forge/wordcloud,2021-11-15 20:34:05.364,269323.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n151,PaddleHub,PaddlePaddle/PaddleHub,others,,https://github.com/PaddlePaddle/PaddleHub,https://github.com/PaddlePaddle/PaddleHub,Apache-2.0,2018-12-21 06:00:48.000,2022-04-19 12:07:35.000000,2022-04-15 10:20:19,2498.0,176.0,1593,145.0,789.0,405.0,637.0,7833,\"Awesome pre-trained models toolkit based on PaddlePaddle.(300+ models including Image, Text, Audio and Video with Easy..\",61.0,33,True,2021-12-28 02:55:41.000,2.2.0,47.0,paddlehub,,,,['paddle'],759.0,755.0,https://pypi.org/project/paddlehub,2021-12-28 02:55:41.000,4.0,14764.0,14779.0,,,,,,,,2.0,565.0,,,,,,,,,,,,,,,,,,,\n152,Pyro,pyro-ppl/pyro,probabilistics,,https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000,2022-04-14 14:19:57.000000,2022-04-13 21:31:56,2324.0,27.0,905,201.0,2133.0,202.0,754.0,7401,Deep universal probabilistic programming with Python and PyTorch.,124.0,33,True,2022-03-24 14:53:37.000,1.8.1,29.0,pyro-ppl,conda-forge/pyro-ppl,,,['pytorch'],744.0,688.0,https://pypi.org/project/pyro-ppl,2022-03-24 14:53:37.000,56.0,109396.0,109856.0,https://anaconda.org/conda-forge/pyro-ppl,2022-03-24 21:05:41.375,5984.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n153,auto-sklearn,automl/auto-sklearn,hyperopt,,https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10.000,2022-04-21 13:54:29.000000,2022-04-21 10:31:51,2621.0,38.0,1123,213.0,589.0,109.0,751.0,6205,Automated Machine Learning with scikit-learn.,79.0,33,True,2022-02-18 11:09:52.000,0.14.6,40.0,auto-sklearn,conda-forge/auto-sklearn,,,['sklearn'],304.0,274.0,https://pypi.org/project/auto-sklearn,2022-02-18 11:09:52.000,30.0,40684.0,41010.0,https://anaconda.org/conda-forge/auto-sklearn,2022-02-18 18:13:43.553,3921.0,,,,,1.0,29.0,,,,,,,,,,,,,,,,,,,\n154,tensorpack,tensorpack/tensorpack,ml-frameworks,,https://github.com/tensorpack/tensorpack,https://github.com/tensorpack/tensorpack,Apache-2.0,2015-12-25 23:08:44.000,2022-02-09 23:36:34.000000,2021-11-27 04:08:51,2937.0,,1808,201.0,205.0,13.0,1333.0,6190,\"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.\",58.0,33,True,2020-04-24 19:01:06.000,0.10.1,37.0,tensorpack,conda-forge/tensorpack,,,['tensorflow'],1042.0,996.0,https://pypi.org/project/tensorpack,2021-01-22 08:44:03.000,46.0,20693.0,20804.0,https://anaconda.org/conda-forge/tensorpack,2022-02-06 19:35:57.930,658.0,,,,,2.0,131.0,,,,,,,,,,,,,,,,,,,\n155,Datasette,simonw/datasette,others,,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000,2022-04-12 18:44:34.000000,2022-04-12 18:44:12,1979.0,85.0,409,97.0,315.0,357.0,964.0,5966,An open source multi-tool for exploring and publishing data.,63.0,33,True,2022-03-23 20:38:02.000,0.61.1,117.0,datasette,conda-forge/datasette,,,,791.0,642.0,https://pypi.org/project/datasette,2022-03-23 20:38:02.000,149.0,262181.0,262472.0,https://anaconda.org/conda-forge/datasette,2022-03-24 00:50:34.931,3499.0,,,,,2.0,36.0,,,,,,,,,datasette,,,,,,,,,,\n156,GluonCV,dmlc/gluon-cv,image,,https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21.000,2022-04-21 09:01:02.000000,2022-03-30 18:36:41,895.0,6.0,1146,154.0,942.0,60.0,755.0,5164,Gluon CV Toolkit.,115.0,33,True,2022-03-07 23:40:19.000,0.10.5,1362.0,gluoncv,,,,['mxnet'],776.0,717.0,https://pypi.org/project/gluoncv,2022-04-21 09:01:02.000,59.0,569557.0,569557.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n157,PML,KevinMusgrave/pytorch-metric-learning,pytorch-utils,,https://github.com/KevinMusgrave/pytorch-metric-learning,https://github.com/KevinMusgrave/pytorch-metric-learning,MIT,2019-10-23 17:20:35.000,2022-04-02 16:10:39.000000,2022-03-30 08:37:06,901.0,62.0,535,68.0,74.0,46.0,302.0,4351,\"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.\",24.0,33,True,2022-03-30 08:31:55.000,1.3.0,184.0,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,,['pytorch'],257.0,248.0,https://pypi.org/project/pytorch-metric-learning,2022-04-02 16:10:39.000,9.0,806939.0,807181.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2022-03-30 08:10:45.133,6544.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n158,Tesseract,madmaze/pytesseract,ocr,,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000,2022-04-19 17:36:38.000000,2022-04-19 17:36:33,475.0,35.0,584,104.0,126.0,14.0,283.0,4165,Python-tesseract is an optical character recognition (OCR) tool for python.,41.0,33,True,2022-03-14 19:28:46.000,0.3.10,26.0,pytesseract,conda-forge/pytesseract,,,,929.0,,https://pypi.org/project/pytesseract,2022-02-19 22:04:23.000,929.0,597569.0,612681.0,https://anaconda.org/conda-forge/pytesseract,2022-03-15 01:11:17.076,498718.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n159,Ignite,pytorch/ignite,ml-frameworks,,https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000,2022-04-21 00:17:43.000000,2022-04-19 18:08:10,1375.0,49.0,536,61.0,1490.0,136.0,918.0,3945,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,172.0,33,True,2022-01-17 15:29:55.000,0.4.8,878.0,pytorch-ignite,pytorch/ignite,,,['pytorch'],80.0,,https://pypi.org/project/pytorch-ignite,2022-04-21 00:17:43.000,80.0,133557.0,135411.0,https://anaconda.org/pytorch/ignite,2022-01-17 15:33:33.872,85293.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n160,BigDL,intel-analytics/BigDL,distributed-ml,,https://github.com/intel-analytics/BigDL,https://github.com/intel-analytics/BigDL,Apache-2.0,2016-08-29 07:59:50.000,2022-04-21 13:46:03.000000,2022-04-21 13:46:02,16961.0,348.0,984,242.0,3277.0,412.0,843.0,3901,Building Large-Scale AI Applications for Distributed Big Data.,139.0,33,True,2022-03-09 07:47:13.000,2.0.0,203.0,bigdl,,,,,41.0,36.0,https://pypi.org/project/bigdl,2022-04-21 13:08:09.000,1.0,17671.0,17671.0,,,,,,,,2.0,,,,,,,,,,,,,,com.intel.analytics.bigdl:bigdl-SPARK_2.4,https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4,2021-04-20 01:33:14,4.0,,,\n161,Dedupe,dedupeio/dedupe,nlp,,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36.000,2022-04-20 16:16:08.954000,2022-04-20 13:00:26,2951.0,74.0,474,124.0,279.0,35.0,674.0,3346,\"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.\",63.0,33,True,2022-04-20 13:16:11.000,2.0.14,164.0,dedupe,conda-forge/dedupe,,,,270.0,222.0,https://pypi.org/project/dedupe,2022-04-20 13:16:11.000,48.0,334151.0,334779.0,https://anaconda.org/conda-forge/dedupe,2022-04-20 16:16:08.954,2512.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n162,ClearML,allegroai/clearml,ml-experiments,,https://github.com/allegroai/clearml,https://github.com/allegroai/clearml,Apache-2.0,2019-06-10 08:18:32.000,2022-04-21 07:18:30.000000,2022-04-21 07:18:30,1629.0,127.0,429,74.0,129.0,204.0,312.0,3128,\"ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management.\",48.0,33,True,2022-03-29 08:17:53.000,1.3.2,69.0,clearml,,allegroai/trains,,,232.0,226.0,https://pypi.org/project/clearml,2022-04-13 11:41:27.000,6.0,129738.0,130635.0,,,,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,30105.0,2.0,426.0,,,,,,,,,,,,,,,,,,,\n163,torchtext,pytorch/text,nlp,,https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000,2022-04-21 11:37:24.000000,2022-04-21 11:37:24,1045.0,99.0,698,258.0,1047.0,321.0,386.0,2994,Data loaders and abstractions for text and NLP.,126.0,33,True,2022-03-10 18:31:55.000,0.12.0,20.0,torchtext,,,,['pytorch'],433.0,,https://pypi.org/project/torchtext,2022-03-10 16:48:11.000,433.0,163000.0,163000.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n164,ART,Trusted-AI/adversarial-robustness-toolbox,adversarial,,https://github.com/Trusted-AI/adversarial-robustness-toolbox,https://github.com/Trusted-AI/adversarial-robustness-toolbox,MIT,2018-03-15 14:40:43.000,2022-04-20 22:12:50.000000,2022-04-20 15:27:35,9924.0,438.0,794,89.0,879.0,80.0,585.0,2934,\"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..\",97.0,33,True,2022-03-16 17:12:08.000,1.10.0,39.0,adversarial-robustness-toolbox,conda-forge/adversarial-robustness-toolbox,,,,211.0,205.0,https://pypi.org/project/adversarial-robustness-toolbox,2022-03-16 15:30:43.000,6.0,7209.0,7626.0,https://anaconda.org/conda-forge/adversarial-robustness-toolbox,2022-01-10 15:59:27.185,8758.0,,,,,1.0,,,-1.0,,,,,,,,,,,,,,,,,\n165,MONAI,Project-MONAI/MONAI,medical-data,,https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000,2022-04-21 14:13:24.000000,2022-04-20 17:06:47,1856.0,159.0,563,83.0,1937.0,192.0,1412.0,2908,AI Toolkit for Healthcare Imaging.,94.0,33,True,2022-02-16 23:46:11.000,0.8.1,40.0,monai,conda-forge/monai,,,['pytorch'],288.0,272.0,https://pypi.org/project/monai,2022-02-16 23:13:47.000,16.0,51408.0,51495.0,https://anaconda.org/conda-forge/monai,2022-01-09 02:58:07.863,350.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n166,Catalyst,catalyst-team/catalyst,ml-experiments,,https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13.000,2022-04-17 14:41:09.000000,2022-04-17 14:40:36,1697.0,16.0,355,46.0,1072.0,3.0,331.0,2904,Accelerated deep learning R&D.,103.0,33,True,2022-02-27 17:53:53.000,22.2.1,107.0,catalyst,,,,['pytorch'],555.0,526.0,https://pypi.org/project/catalyst,2022-02-27 17:53:53.000,29.0,800459.0,800459.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n167,PyQtGraph,pyqtgraph/pyqtgraph,data-viz,,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21.000,2022-04-21 08:32:30.000000,2022-04-20 23:41:02,3200.0,58.0,915,147.0,1197.0,326.0,693.0,2780,Fast data visualization and GUI tools for scientific / engineering applications.,221.0,33,True,2022-03-04 18:36:49.000,pyqtgraph-0.12.4,17.0,pyqtgraph,conda-forge/pyqtgraph,,,,789.0,,https://pypi.org/project/pyqtgraph,2022-03-04 18:37:22.000,789.0,88283.0,92002.0,https://anaconda.org/conda-forge/pyqtgraph,2022-03-05 00:25:53.937,234324.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n168,GPyTorch,cornellius-gp/gpytorch,probabilistics,,https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000,2022-04-14 14:49:58.000000,2022-04-13 15:19:22,3614.0,50.0,405,51.0,749.0,265.0,819.0,2738,A highly efficient and modular implementation of Gaussian Processes in PyTorch.,92.0,33,True,2021-12-04 15:50:17.000,1.6.0,31.0,gpytorch,conda-forge/gpytorch,,,['pytorch'],576.0,546.0,https://pypi.org/project/gpytorch,2021-12-04 15:50:17.000,30.0,187604.0,188834.0,https://anaconda.org/conda-forge/gpytorch,2021-12-14 02:46:49.626,30764.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n169,Keras Tuner,keras-team/keras-tuner,hyperopt,,https://github.com/keras-team/keras-tuner,https://github.com/keras-team/keras-tuner,Apache-2.0,2019-06-06 22:38:21.000,2022-04-11 04:56:47.000000,2022-04-11 04:56:47,885.0,16.0,324,65.0,286.0,165.0,214.0,2507,Hyperparameter tuning for humans.,46.0,33,True,2022-03-25 05:32:04.000,1.1.2,14.0,keras-tuner,conda-forge/keras-tuner,,,['tensorflow'],1337.0,1299.0,https://pypi.org/project/keras-tuner,2022-03-25 00:39:10.000,38.0,651746.0,651980.0,https://anaconda.org/conda-forge/keras-tuner,2022-01-12 03:27:55.158,5856.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n170,TF-Agents,tensorflow/agents,reinforcement-learning,,https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000,2022-04-20 01:05:45.000000,2022-04-19 19:01:54,2053.0,59.0,614,85.0,175.0,126.0,427.0,2240,\"TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.\",121.0,33,True,2022-04-20 01:05:45.000,0.12.1,32.0,tf-agents,,,,['tensorflow'],789.0,775.0,https://pypi.org/project/tf-agents,2022-04-20 01:05:45.000,14.0,217954.0,217954.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n171,category_encoders,scikit-learn-contrib/category_encoders,sklearn-utils,,https://github.com/scikit-learn-contrib/category_encoders,https://github.com/scikit-learn-contrib/category_encoders,BSD-3-Clause,2015-11-29 19:32:37.000,2022-04-13 13:02:53.000000,2022-04-13 13:02:53,756.0,13.0,353,39.0,109.0,72.0,170.0,1876,A library of sklearn compatible categorical variable encoders.,51.0,33,True,2022-03-09 20:50:35.000,2.4.0,19.0,category_encoders,conda-forge/category_encoders,,,['sklearn'],3340.0,3317.0,https://pypi.org/project/category_encoders,2018-10-14 14:15:54.000,23.0,1811252.0,1813436.0,https://anaconda.org/conda-forge/category_encoders,2022-03-09 23:07:56.361,150740.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n172,Lifelines,CamDavidsonPilon/lifelines,medical-data,,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42.000,2022-04-08 17:00:56.119000,2022-03-16 01:20:24,2173.0,16.0,467,67.0,452.0,217.0,638.0,1851,Survival analysis in Python.,99.0,33,True,2022-03-15 15:20:56.000,0.27.0,161.0,lifelines,conda-forge/lifelines,,,,967.0,863.0,https://pypi.org/project/lifelines,2022-03-15 15:20:56.000,104.0,345771.0,348425.0,https://anaconda.org/conda-forge/lifelines,2022-04-08 17:00:56.119,185810.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n173,Ax,facebook/Ax,hyperopt,,https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000,2022-04-20 23:20:30.000000,2022-04-20 20:04:42,1819.0,178.0,189,71.0,542.0,44.0,362.0,1783,Adaptive Experimentation Platform.,114.0,33,True,2022-03-10 18:10:26.000,0.2.4,26.0,ax-platform,conda-forge/ax-platform,,,['pytorch'],279.0,264.0,https://pypi.org/project/ax-platform,2022-03-10 18:10:26.000,15.0,135751.0,135849.0,https://anaconda.org/conda-forge/ax-platform,2022-03-16 10:40:13.511,982.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n174,torchaudio,pytorch/audio,audio,,https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000,2022-04-21 11:47:54.000000,2022-04-19 01:07:12,1398.0,117.0,391,63.0,1750.0,156.0,460.0,1639,\"Data manipulation and transformation for audio signal processing, powered by PyTorch.\",151.0,33,True,2022-03-10 17:28:47.000,0.11.0,20.0,torchaudio,,,,['pytorch'],122.0,,https://pypi.org/project/torchaudio,2022-03-10 16:47:04.000,122.0,382578.0,382578.0,,,,,,,,1.0,,,-1.0,,,,,,,,,,,,,,,,,\n175,snakemake,snakemake/snakemake,ml-experiments,,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867,2022-04-21 13:36:00.000000,2022-04-21 12:41:12,4440.0,169.0,313,19.0,673.0,560.0,385.0,1325,\"This is the development home of the workflow management system Snakemake. For general information, see.\",250.0,33,True,2022-04-06 20:46:24.000,7.3.8,222.0,snakemake,bioconda/snakemake,,,,1292.0,1084.0,https://pypi.org/project/snakemake,2022-04-06 20:46:24.000,208.0,39771.0,45097.0,https://anaconda.org/bioconda/snakemake,2022-04-07 06:45:09.253,415461.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n176,ipyleaflet,jupyter-widgets/ipyleaflet,geospatial-data,,https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10.000,2022-04-21 08:09:56.000000,2022-04-20 07:52:09,1056.0,63.0,329,63.0,495.0,190.0,299.0,1243,A Jupyter - Leaflet.js bridge.,77.0,33,True,2022-04-14 10:18:00.304,0.16.0,73.0,ipyleaflet,conda-forge/ipyleaflet,,,['jupyter'],1743.0,1632.0,https://pypi.org/project/ipyleaflet,2022-04-14 10:17:10.000,109.0,98183.0,156007.0,https://anaconda.org/conda-forge/ipyleaflet,2022-04-14 12:16:11.267,807088.0,,,,,2.0,,,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2022-04-14 10:18:00.304,2.0,46457.0,,,,,,,,,,,,\n177,PyVista,pyvista/pyvista,data-viz,,https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000,2022-04-21 13:49:06.000000,2022-04-19 16:32:44,2656.0,195.0,233,29.0,1304.0,225.0,551.0,1213,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,83.0,33,True,2022-04-18 15:57:00.000,0.34.1,58.0,pyvista,conda-forge/pyvista,,,['jupyter'],815.0,715.0,https://pypi.org/project/pyvista,2022-04-18 15:57:00.000,100.0,52997.0,57528.0,https://anaconda.org/conda-forge/pyvista,2022-04-15 21:10:01.700,158212.0,,,,,2.0,584.0,,,,,,,,,,,,,,,,,,,\n178,arviz,arviz-devs/arviz,interpretability,,https://github.com/arviz-devs/arviz,https://github.com/arviz-devs/arviz,Apache-2.0,2015-07-29 11:51:10.000,2022-04-21 10:32:15.000000,2022-04-13 17:54:10,1375.0,30.0,271,44.0,1294.0,140.0,577.0,1202,Exploratory analysis of Bayesian models with Python.,118.0,33,True,2022-03-23 19:26:45.000,0.12.0,26.0,arviz,conda-forge/arviz,,,,2272.0,2176.0,https://pypi.org/project/arviz,2022-03-23 19:26:45.000,96.0,368195.0,387682.0,https://anaconda.org/conda-forge/arviz,2022-03-23 23:59:15.657,681989.0,,,,,1.0,113.0,,,,,,,,,,,,,,,,,,,\n179,Wand,emcconville/wand,image,,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000,2022-03-14 01:34:17.000000,2022-03-14 01:34:08,1747.0,6.0,192,29.0,190.0,16.0,353.0,1166,The ctypes-based simple ImageMagick binding for Python.,97.0,33,True,2021-08-17 02:43:04.000,0.6.7,50.0,wand,conda-forge/wand,,,,11277.0,10598.0,https://pypi.org/project/wand,2021-08-17 02:13:00.000,679.0,492958.0,493450.0,https://anaconda.org/conda-forge/wand,2020-11-30 13:27:29.373,10212.0,,,,,2.0,7117.0,,,,,,,,,,,,,,,,,,,\n180,TensorFlow Transform,tensorflow/transform,tensorflow-utils,,https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53.000,2022-04-12 23:13:32.000000,2022-04-12 23:13:32,782.0,38.0,180,60.0,82.0,25.0,153.0,915,Input pipeline framework.,27.0,33,True,2022-03-30 18:58:31.000,1.6.1,48.0,tensorflow-transform,,,,['tensorflow'],878.0,822.0,https://pypi.org/project/tensorflow-transform,2022-03-30 19:17:57.000,56.0,3282319.0,3282319.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n181,Hail,hail-is/hail,medical-data,,https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000,2022-04-21 14:18:05.000000,2022-04-21 00:45:23,9760.0,378.0,207,58.0,9781.0,55.0,1972.0,792,Scalable genomic data analysis.,79.0,33,True,2022-03-28 07:17:16.000,0.2.93,113.0,hail,,,,['spark'],69.0,61.0,https://pypi.org/project/hail,2022-03-28 07:17:45.000,8.0,44014.0,44014.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n182,tensorflow-upstream,ROCmSoftwarePlatform/tensorflow-upstream,ml-frameworks,,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,Apache-2.0,2018-04-09 21:24:50.000,2022-04-21 13:59:51.000000,2022-04-21 00:14:55,131457.0,3989.0,68,49.0,1334.0,59.0,270.0,590,TensorFlow ROCm port.,4002.0,33,True,2022-04-11 16:51:04.000,2.8.1,77.0,tensorflow-rocm,,,,['tensorflow'],5.0,,https://pypi.org/project/tensorflow-rocm,2022-04-11 16:51:04.000,5.0,1508.0,1508.0,,,,,,,,2.0,18.0,,,,,,,,,,,,,,,,,,,\n183,zipline,quantopian/zipline,financial-data,,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29.000,2022-01-20 12:10:43.000000,2020-10-14 16:36:49,6226.0,,4203,1009.0,1864.0,346.0,651.0,15072,\"Zipline, a Pythonic Algorithmic Trading Library.\",154.0,32,False,2020-10-05 15:46:20.429,1.4.1,30.0,zipline,conda-forge/zipline,,,,933.0,848.0,https://pypi.org/project/zipline,2020-10-05 15:46:20.429,85.0,2421.0,2716.0,https://anaconda.org/conda-forge/zipline,2020-10-05 18:38:58.729,5615.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n184,Turi Create,apple/turicreate,ml-frameworks,,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04.000,2021-11-29 19:55:31.000000,2021-11-29 19:55:31,1571.0,,1111,358.0,1679.0,484.0,1287.0,10667,Turi Create simplifies the development of custom machine learning models.,85.0,32,True,2020-09-30 22:51:40.000,6.4.1,31.0,turicreate,,,,,324.0,305.0,https://pypi.org/project/turicreate,2020-09-30 22:51:40.000,19.0,27666.0,27775.0,,,,,,,,3.0,5669.0,,,,,,,,,,,,,,,,,,,\n185,Albumentations,albumentations-team/albumentations,image,,https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000,2022-04-20 22:26:52.000000,2022-02-13 11:37:49,699.0,1.0,1276,123.0,559.0,243.0,348.0,10050,Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation:..,100.0,32,True,2021-10-04 09:30:33.000,1.1.0,49.0,albumentations,conda-forge/albumentations,,,['pytorch'],7676.0,7497.0,https://pypi.org/project/albumentations,2021-10-04 09:30:33.000,179.0,416837.0,417847.0,https://anaconda.org/conda-forge/albumentations,2021-07-15 13:53:18.638,34357.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n186,Lime,marcotcr/lime,interpretability,,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10.000,2022-01-14 13:42:13.000000,2021-07-29 23:17:25,531.0,,1539,273.0,105.0,35.0,526.0,9716,Lime: Explaining the predictions of any machine learning classifier.,61.0,32,True,2020-04-03 22:05:03.000,0.2.0.0,38.0,lime,conda-forge/lime,,,,2272.0,2165.0,https://pypi.org/project/lime,2020-06-26 21:38:15.000,107.0,452857.0,454366.0,https://anaconda.org/conda-forge/lime,2020-06-28 01:02:41.538,96583.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n187,Annoy,spotify/annoy,nn-search,,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40.000,2022-03-25 13:02:03.000000,2022-03-25 13:02:03,836.0,2.0,982,321.0,248.0,38.0,302.0,9638,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,81.0,32,True,2020-09-18 16:07:59.000,1.17.0,43.0,annoy,conda-forge/python-annoy,,,,2272.0,2037.0,https://pypi.org/project/annoy,2020-09-18 16:07:59.000,235.0,1143358.0,1146723.0,https://anaconda.org/conda-forge/python-annoy,2022-01-28 19:54:18.237,225494.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n188,TFlearn,tflearn/tflearn,ml-frameworks,,https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,MIT,2016-03-31 12:05:53.000,2021-01-25 09:41:59.000000,2020-11-30 04:34:51,613.0,,2429,466.0,255.0,563.0,362.0,9586,Deep learning library featuring a higher-level API for TensorFlow.,128.0,32,False,2020-11-11 19:26:11.000,0.5.0,8.0,tflearn,,,,['tensorflow'],4339.0,3851.0,https://pypi.org/project/tflearn,2020-11-11 19:13:47.000,488.0,15910.0,15910.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n189,fuzzywuzzy,seatgeek/fuzzywuzzy,nlp,,https://github.com/seatgeek/fuzzywuzzy,https://github.com/seatgeek/fuzzywuzzy,GPL-2.0,2011-07-08 19:32:34.000,2021-11-02 23:56:01.000000,2021-09-09 20:54:41,384.0,,860,268.0,145.0,103.0,103.0,8649,Fuzzy String Matching in Python.,70.0,32,False,2020-02-13 22:14:12.000,0.18.0,27.0,fuzzywuzzy,conda-forge/fuzzywuzzy,,,,14242.0,12309.0,https://pypi.org/project/fuzzywuzzy,2020-02-13 21:06:25.000,1933.0,6211553.0,6216735.0,https://anaconda.org/conda-forge/fuzzywuzzy,2020-11-18 12:59:01.409,357624.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n190,TPOT,EpistasisLab/tpot,hyperopt,,https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40.000,2022-03-03 16:44:31.000000,2021-01-06 15:17:46,2368.0,,1432,297.0,404.0,238.0,602.0,8530,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,108.0,32,False,2021-01-06 15:20:08.000,0.11.7,60.0,tpot,conda-forge/tpot,,,['sklearn'],1449.0,1395.0,https://pypi.org/project/tpot,2021-01-06 15:20:08.000,54.0,32135.0,34333.0,https://anaconda.org/conda-forge/tpot,2021-03-05 04:04:38.005,147330.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n191,Qlib,microsoft/qlib,financial-data,,https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000,2022-04-21 13:18:09.000000,2022-04-21 12:50:16,1751.0,90.0,1468,228.0,541.0,158.0,367.0,8368,\"Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research,..\",90.0,32,True,2022-03-08 14:30:33.000,0.8.4,25.0,pyqlib,,,,['pytorch'],14.0,14.0,https://pypi.org/project/pyqlib,2022-03-08 14:30:33.000,,1671.0,1686.0,,,,,,,,1.0,285.0,,,,,,,,,,,,,,,,,,,\n192,Ludwig,ludwig-ai/ludwig,ml-frameworks,,https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000,2022-04-21 13:11:02.000000,2022-04-21 02:57:31,2521.0,168.0,973,184.0,1219.0,185.0,529.0,8198,Data-centric declarative deep learning framework.,116.0,32,True,2022-02-01 07:49:55.000,0.4.1,22.0,ludwig,,,,['tensorflow'],118.0,110.0,https://pypi.org/project/ludwig,2022-03-08 00:38:21.000,8.0,3061.0,3061.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n193,DeepSpeed,microsoft/DeepSpeed,distributed-ml,,https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,MIT,2020-01-23 18:35:18.000,2022-04-21 05:28:15.000000,2022-04-20 23:25:56,929.0,78.0,760,127.0,997.0,452.0,422.0,6626,\"DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and..\",102.0,32,True,2022-03-28 22:44:18.000,0.6.1,43.0,deepspeed,,deepspeed/deepspeed,,['pytorch'],235.0,225.0,https://pypi.org/project/deepspeed,2022-03-28 22:42:23.000,10.0,147246.0,147753.0,,,,https://hub.docker.com/r/deepspeed/deepspeed,2022-03-09 21:34:10.973494,3.0,13698.0,2.0,,,,,,,,,,,,,,,,,,,,\n194,featuretools,alteryx/featuretools,hyperopt,,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17.000,2022-04-21 13:13:29.000000,2022-04-20 22:33:09,989.0,92.0,801,156.0,1248.0,152.0,622.0,6071,An open source python library for automated feature engineering.,64.0,32,True,2022-03-31 15:04:51.000,1.8.0,100.0,featuretools,conda-forge/featuretools,,,,63.0,,https://pypi.org/project/featuretools,2022-03-31 15:04:51.000,63.0,245915.0,247968.0,https://anaconda.org/conda-forge/featuretools,2022-03-31 20:48:06.681,82120.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n195,Pydub,jiaaro/pydub,audio,,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38.000,2022-03-15 14:03:17.000000,2021-06-08 14:06:40,742.0,,801,125.0,183.0,212.0,256.0,6063,Manipulate audio with a simple and easy high level interface.,91.0,32,True,2021-03-10 02:10:41.000,0.25.1,68.0,pydub,conda-forge/pydub,,,,12705.0,11804.0,https://pypi.org/project/pydub,2021-03-10 02:09:53.000,901.0,1615975.0,1616527.0,https://anaconda.org/conda-forge/pydub,2021-03-13 05:16:50.142,22101.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n196,Bayesian Optimization,fmfn/BayesianOptimization,hyperopt,,https://github.com/fmfn/BayesianOptimization,https://github.com/fmfn/BayesianOptimization,MIT,2014-06-06 08:18:56.000,2022-04-14 10:03:51.000000,2020-12-19 01:11:23,199.0,,1245,149.0,82.0,40.0,210.0,5907,A Python implementation of global optimization with gaussian processes.,27.0,32,False,2020-05-16 16:03:51.000,1.2.0,8.0,bayesian-optimization,,,,,1239.0,1174.0,https://pypi.org/project/bayesian-optimization,2020-05-16 15:56:09.000,65.0,180318.0,180319.0,,,,,,,,2.0,80.0,,,,,,,,,,,,,,,,,,,\n197,Autograd,HIPS/autograd,others,,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23.000,2022-04-08 08:55:43.000000,2022-04-08 08:53:31,1377.0,1.0,815,218.0,207.0,164.0,225.0,5756,Efficiently computes derivatives of numpy code.,51.0,32,True,2017-08-24 17:00:41.000,1.1.13,25.0,autograd,conda-forge/autograd,,,,3556.0,3281.0,https://pypi.org/project/autograd,2022-04-08 08:55:43.000,275.0,1237809.0,1240858.0,https://anaconda.org/conda-forge/autograd,2019-07-25 18:29:55.493,207336.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n198,polars,pola-rs/polars,data-containers,,https://github.com/pola-rs/polars,https://github.com/pola-rs/polars,MIT,2020-05-13 19:45:33.000,2022-04-21 15:02:27.000000,2022-04-21 14:49:55,3451.0,439.0,302,71.0,1908.0,131.0,1114.0,5323,Fast multi-threaded DataFrame library in Rust | Python | Node.js.,80.0,32,True,2022-04-21 07:30:42.000,0.13.24,166.0,polars,,,,,24.0,3.0,https://pypi.org/project/polars,2022-04-21 07:30:42.000,21.0,39216.0,39216.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n199,bqplot,bqplot/bqplot,data-viz,,https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18.000,2022-04-09 08:55:22.000000,2022-04-08 11:56:25,3513.0,57.0,458,110.0,929.0,228.0,355.0,3276,Plotting library for IPython/Jupyter notebooks.,56.0,32,True,2022-02-11 15:29:07.544,0.5.34,100.0,bqplot,conda-forge/bqplot,,,['jupyter'],132.0,30.0,https://pypi.org/project/bqplot,2022-02-11 15:27:16.000,92.0,78804.0,114457.0,https://anaconda.org/conda-forge/bqplot,2022-02-11 15:47:15.986,944058.0,,,,,2.0,,,,bqplot,https://www.npmjs.com/package/bqplot,2022-02-11 15:29:07.544,10.0,22357.0,,,,,,,,,,,,\n200,VisPy,vispy/vispy,data-viz,,https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22.000,2022-04-20 14:09:50.000000,2022-04-18 18:24:55,6929.0,20.0,587,124.0,1027.0,280.0,1039.0,2852,High-performance interactive 2D/3D data visualization library.,171.0,32,True,2022-04-18 18:40:13.000,0.10.0,30.0,vispy,conda-forge/vispy,,,['jupyter'],817.0,721.0,https://pypi.org/project/vispy,2022-04-18 19:26:41.000,96.0,50795.0,54788.0,https://anaconda.org/conda-forge/vispy,2022-04-18 23:44:31.256,214559.0,,,,,2.0,,,,vispy,https://www.npmjs.com/package/vispy,2020-03-15 14:39:41.516,,20.0,,,,,,,,,,,,\n201,Core ML Tools,apple/coremltools,model-serialisation,,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000,2022-04-20 22:55:39.000000,2022-04-19 20:14:07,924.0,13.0,400,99.0,563.0,332.0,658.0,2626,\"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.\",120.0,32,True,2022-02-22 22:38:34.000,5.2.0,36.0,coremltools,conda-forge/coremltools,,,,1011.0,867.0,https://pypi.org/project/coremltools,2022-02-22 22:38:34.000,144.0,192951.0,194648.0,https://anaconda.org/conda-forge/coremltools,2021-10-15 05:58:32.248,29185.0,,,,,1.0,4192.0,,,,,,,,,,,,,,,,,,,\n202,mrjob,Yelp/mrjob,data-pipelines,,https://github.com/Yelp/mrjob,https://github.com/Yelp/mrjob,Apache-2.0,2010-10-13 18:35:21.000,2022-03-23 19:55:26.000000,2020-11-16 22:20:52,8622.0,,600,111.0,919.0,205.0,1093.0,2576,Run MapReduce jobs on Hadoop or Amazon Web Services.,142.0,32,False,2020-09-17 22:26:01.000,0.7.4,62.0,mrjob,conda-forge/mrjob,,,,1083.0,970.0,https://pypi.org/project/mrjob,2020-09-17 22:26:01.000,113.0,91335.0,98043.0,https://anaconda.org/conda-forge/mrjob,2022-02-06 18:33:13.189,449487.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n203,hmmlearn,hmmlearn/hmmlearn,probabilistics,,https://github.com/hmmlearn/hmmlearn,https://github.com/hmmlearn/hmmlearn,BSD-3-Clause,2014-03-23 10:33:09.000,2022-04-19 02:01:22.000000,2022-03-30 21:33:35,410.0,8.0,686,112.0,86.0,56.0,327.0,2473,\"Hidden Markov Models in Python, with scikit-learn like API.\",39.0,32,True,2022-02-10 14:13:50.000,0.2.7,10.0,hmmlearn,conda-forge/hmmlearn,,,['sklearn'],1375.0,1249.0,https://pypi.org/project/hmmlearn,2022-02-10 14:13:50.000,126.0,1643364.0,1646149.0,https://anaconda.org/conda-forge/hmmlearn,2022-02-12 03:10:38.209,114217.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n204,accelerate,huggingface/accelerate,pytorch-utils,,https://github.com/huggingface/accelerate,https://github.com/huggingface/accelerate,Apache-2.0,2020-10-30 13:27:12.000,2022-04-20 18:03:00.000000,2022-04-20 18:02:58,270.0,53.0,157,50.0,127.0,69.0,128.0,2364,\"A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision.\",41.0,32,True,2022-03-31 13:28:18.000,0.6.2,11.0,accelerate,conda-forge/accelerate,,,['pytorch'],453.0,441.0,https://pypi.org/project/accelerate,2022-03-31 13:25:56.000,12.0,854300.0,854498.0,https://anaconda.org/conda-forge/accelerate,2022-04-01 20:44:48.262,1193.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n205,scikit-optimize,scikit-optimize/scikit-optimize,hyperopt,,https://github.com/scikit-optimize/scikit-optimize,https://github.com/scikit-optimize/scikit-optimize,BSD-3-Clause,2016-03-20 21:10:54.000,2022-02-03 21:29:27.000000,2021-10-12 13:32:38,1570.0,,417,66.0,512.0,232.0,387.0,2331,Sequential model-based optimization with a `scipy.optimize` interface.,76.0,32,True,2021-10-12 15:33:19.000,0.9.0,23.0,scikit-optimize,conda-forge/scikit-optimize,,,,2782.0,2608.0,https://pypi.org/project/scikit-optimize,2021-10-12 14:21:32.000,174.0,998803.0,1008166.0,https://anaconda.org/conda-forge/scikit-optimize,2021-12-15 05:01:56.230,533727.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n206,BoTorch,pytorch/botorch,hyperopt,,https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000,2022-04-20 18:42:00.000000,2022-04-20 18:40:39,1163.0,92.0,252,49.0,864.0,61.0,200.0,2240,Bayesian optimization in PyTorch.,73.0,32,True,2022-03-28 00:30:01.000,0.6.3.1,23.0,botorch,conda-forge/botorch,,,['pytorch'],247.0,234.0,https://pypi.org/project/botorch,2022-03-28 00:38:07.000,13.0,176715.0,177851.0,https://anaconda.org/conda-forge/botorch,2022-03-28 04:19:26.532,22720.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n207,GPflow,GPflow/GPflow,probabilistics,,https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000,2022-04-21 14:43:42.000000,2022-04-21 10:04:45,2333.0,74.0,415,76.0,1104.0,125.0,637.0,1616,Gaussian processes in TensorFlow.,77.0,32,True,2022-03-01 13:01:40.000,2.4.0,34.0,gpflow,conda-forge/gpflow,,,['tensorflow'],377.0,349.0,https://pypi.org/project/gpflow,2022-03-01 13:01:40.000,28.0,9777.0,10008.0,https://anaconda.org/conda-forge/gpflow,2022-03-01 16:58:07.317,10857.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n208,Geocoder,DenisCarriere/geocoder,geospatial-data,,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21.000,2022-02-11 13:28:12.000000,2018-10-12 15:53:05,1251.0,,267,55.0,151.0,99.0,217.0,1437,Python Geocoder.,73.0,32,False,2018-04-04 12:34:51.000,1.38.1,110.0,geocoder,conda-forge/geocoder,,,,5231.0,4739.0,https://pypi.org/project/geocoder,2018-04-04 12:34:51.000,492.0,423429.0,425008.0,https://anaconda.org/conda-forge/geocoder,2019-06-27 16:40:50.469,97905.0,,,,,3.0,,,,,,,,,,,,,,,,,,geocoder,,\n209,TF Model Optimization,tensorflow/model-optimization,tensorflow-utils,,https://github.com/tensorflow/model-optimization,https://github.com/tensorflow/model-optimization,Apache-2.0,2018-10-31 20:34:28.000,2022-04-14 15:39:29.000000,2022-04-06 08:30:34,735.0,19.0,276,124.0,679.0,162.0,151.0,1229,\"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.\",66.0,32,True,2022-03-18 17:04:59.000,0.7.2,26.0,tensorflow-model-optimization,,,,['tensorflow'],1730.0,1711.0,https://pypi.org/project/tensorflow-model-optimization,2022-03-18 16:49:50.000,19.0,151781.0,151781.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n210,FiftyOne,voxel51/fiftyone,data-viz,,https://github.com/voxel51/fiftyone,https://github.com/voxel51/fiftyone,Apache-2.0,2020-04-22 13:43:28.000,2022-04-21 15:01:28.000000,2022-04-21 03:02:44,12776.0,423.0,161,23.0,981.0,228.0,498.0,1205,\"Visualize, create, and debug image and video datasets and model predictions.\",31.0,32,True,2022-04-11 14:44:27.000,desktop-v0.19.5,69.0,fiftyone,,,,\"['tensorflow', 'pytorch', 'jupyter']\",99.0,98.0,https://pypi.org/project/fiftyone,2022-03-24 17:06:46.000,1.0,26911.0,26911.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n211,pmdarima,alkaline-ml/pmdarima,time-series-data,,https://github.com/alkaline-ml/pmdarima,https://github.com/alkaline-ml/pmdarima,MIT,2017-03-30 14:58:30.000,2022-04-18 15:42:50.000000,2022-04-18 15:33:36,1056.0,10.0,204,35.0,222.0,28.0,253.0,1154,\"A statistical library designed to fill the void in Pythons time series analysis capabilities, including the equivalent..\",20.0,32,True,2022-02-22 11:10:16.000,1.8.5,37.0,pmdarima,conda-forge/pmdarima,,,,2038.0,1987.0,https://pypi.org/project/pmdarima,2022-02-22 11:10:16.000,51.0,1064240.0,1066186.0,https://anaconda.org/conda-forge/pmdarima,2022-02-24 09:21:50.856,35041.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n212,petl,petl-developers/petl,data-pipelines,,https://github.com/petl-developers/petl,https://github.com/petl-developers/petl,MIT,2011-08-19 09:51:03.000,2022-03-11 02:29:59.000000,2022-02-18 15:21:50,1231.0,74.0,172,48.0,181.0,73.0,365.0,996,Python Extract Transform and Load Tables of Data.,54.0,32,True,2022-02-08 23:00:59.000,1.7.8,83.0,petl,conda-forge/petl,,http://petl.readthedocs.org,,768.0,694.0,https://pypi.org/project/petl,2022-02-08 23:00:59.000,74.0,120206.0,121283.0,https://anaconda.org/conda-forge/petl,2022-02-11 04:55:07.294,72181.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n213,TensorFlow Text,tensorflow/text,nlp,,https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000,2022-04-21 06:33:57.000000,2022-04-20 02:41:41,660.0,69.0,204,41.0,739.0,78.0,127.0,930,Making text a first-class citizen in TensorFlow.,81.0,32,True,2022-04-21 02:58:05.000,2.8.2,49.0,tensorflow-text,,,,['tensorflow'],1765.0,1689.0,https://pypi.org/project/tensorflow-text,2022-04-21 00:17:57.000,76.0,2705566.0,2705566.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n214,zarr,zarr-developers/zarr-python,data-containers,,https://github.com/zarr-developers/zarr-python,https://github.com/zarr-developers/zarr-python,MIT,2015-12-15 14:49:40.000,2022-04-20 06:39:41.000000,2022-04-20 06:39:41,1571.0,33.0,157,41.0,505.0,212.0,292.0,893,\"An implementation of chunked, compressed, N-dimensional arrays for Python.\",59.0,32,True,2022-04-06 19:57:17.000,2.11.3,53.0,zarr,conda-forge/zarr,,,,1413.0,1197.0,https://pypi.org/project/zarr,2022-04-06 19:57:17.000,216.0,89718.0,108099.0,https://anaconda.org/conda-forge/zarr,2022-04-06 22:58:18.252,1305097.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n215,snowballstemmer,snowballstem/snowball,nlp,,https://github.com/snowballstem/snowball,https://github.com/snowballstem/snowball,BSD-3-Clause,2013-02-23 07:17:42.000,2022-03-28 04:36:11.000000,2021-12-17 04:08:52,919.0,,153,34.0,108.0,25.0,44.0,556,Snowball compiler and stemming algorithms.,28.0,32,True,2021-11-16 18:38:34.000,2.2.0,10.0,snowballstemmer,conda-forge/snowballstemmer,,,,6731.0,4.0,https://pypi.org/project/snowballstemmer,2021-11-16 18:38:34.000,6727.0,6706888.0,6767533.0,https://anaconda.org/conda-forge/snowballstemmer,2021-11-17 09:59:16.947,4123893.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n216,DIPY,dipy/dipy,medical-data,,https://github.com/dipy/dipy,https://github.com/dipy/dipy,BSD-3-Clause,2010-02-06 11:43:08.000,2022-04-20 16:45:11.000000,2022-04-12 13:29:40,12149.0,250.0,335,50.0,1750.0,123.0,658.0,506,\"DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal..\",129.0,32,True,2021-05-06 04:40:48.000,1.4.1,24.0,dipy,conda-forge/dipy,,,,620.0,540.0,https://pypi.org/project/dipy,2022-03-11 20:19:02.000,80.0,14251.0,18336.0,https://anaconda.org/conda-forge/dipy,2022-03-15 06:15:21.138,290082.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n217,datalad,datalad/datalad,others,,https://github.com/datalad/datalad,https://github.com/datalad/datalad,MIT,2013-11-01 19:40:08.000,2022-04-21 13:55:55.000000,2022-04-08 20:07:21,15461.0,395.0,89,26.0,3095.0,473.0,2996.0,308,\"Keep code, data, containers under control with git and git-annex.\",46.0,32,True,2022-04-21 12:58:50.000,0.16.2,81.0,datalad,conda-forge/datalad,,,,52.0,,https://pypi.org/project/datalad,2022-04-21 12:59:13.000,52.0,5869.0,9865.0,https://anaconda.org/conda-forge/datalad,2022-04-19 18:35:34.864,195806.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n218,CNTK,microsoft/CNTK,ml-frameworks,,https://github.com/microsoft/CNTK,https://github.com/microsoft/CNTK,MIT,2015-11-26 09:52:06.000,2021-08-27 04:46:43.000000,2020-03-31 15:55:14,16116.0,,4402,1288.0,552.0,836.0,2528.0,17149,\"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.\",271.0,31,False,2019-04-26 14:13:32.000,2.7,32.0,cntk,,,,,18.0,,https://pypi.org/project/cntk,2020-12-09 22:21:57.000,18.0,1322.0,1507.0,,,,,,,,3.0,13947.0,,,,,,,,,,,,,,,,,,,\n219,Sonnet,deepmind/sonnet,ml-frameworks,,https://github.com/deepmind/sonnet,https://github.com/deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35.000,2022-04-21 01:22:00.000000,2022-03-07 21:16:14,848.0,2.0,1281,434.0,67.0,24.0,150.0,9257,TensorFlow-based neural network library.,53.0,31,True,2020-03-27 10:36:19.000,2.0.0,27.0,dm-sonnet,conda-forge/sonnet,,,['tensorflow'],864.0,812.0,https://pypi.org/project/dm-sonnet,2020-03-27 10:36:10.000,52.0,22598.0,23052.0,https://anaconda.org/conda-forge/sonnet,2020-11-14 18:13:23.843,13193.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n220,pretrainedmodels,Cadene/pretrained-models.pytorch,pytorch-utils,,https://github.com/Cadene/pretrained-models.pytorch,https://github.com/Cadene/pretrained-models.pytorch,BSD-3-Clause,2017-04-09 15:54:23.000,2021-07-29 10:41:37.000000,2020-04-16 08:02:22,154.0,,1755,226.0,45.0,92.0,94.0,8486,\"Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.\",22.0,31,False,2018-10-29 08:18:45.000,0.7.4,16.0,pretrainedmodels,conda-forge/pretrainedmodels,,,['pytorch'],1609.0,1529.0,https://pypi.org/project/pretrainedmodels,2018-10-29 08:18:45.000,80.0,80017.0,80245.0,https://anaconda.org/conda-forge/pretrainedmodels,2021-04-30 19:04:30.054,5027.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n221,carla,carla-simulator/carla,others,,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000,2022-04-21 14:49:14.000000,2021-11-19 11:13:47,5439.0,,2191,235.0,1146.0,615.0,3184.0,7619,Open-source simulator for autonomous driving research.,138.0,31,True,2021-11-17 08:28:27.000,0.9.13,24.0,carla,,,,,162.0,159.0,https://pypi.org/project/carla,2021-11-17 08:28:27.000,3.0,6546.0,6546.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n222,PaddleDetection,PaddlePaddle/PaddleDetection,image,,https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000,2022-04-21 13:02:50.000000,2022-04-21 13:02:50,1564.0,183.0,1855,164.0,2505.0,1064.0,2708.0,7256,\"Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object..\",93.0,31,True,2021-12-09 11:11:05.000,2.3.0,6.0,paddledet,,,,['paddle'],14.0,14.0,https://pypi.org/project/paddledet,2021-11-26 08:48:44.000,,385.0,385.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n223,SpeechRecognition,Uberi/speech_recognition,audio,,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54.000,2022-04-20 09:46:34.000000,2022-03-27 02:53:19,379.0,5.0,1998,284.0,101.0,234.0,281.0,6204,\"Speech recognition module for Python, supporting several engines and APIs, online and offline.\",43.0,31,True,2017-12-05 14:05:14.000,3.8.1,52.0,SpeechRecognition,conda-forge/speechrecognition,,,,695.0,,https://pypi.org/project/SpeechRecognition,2017-12-05 13:58:29.000,695.0,261999.0,263975.0,https://anaconda.org/conda-forge/speechrecognition,2021-12-13 09:59:53.408,134407.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n224,stanza,stanfordnlp/stanza,nlp,,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56.000,2022-04-20 06:15:06.000000,2022-01-26 16:46:45,2267.0,1.0,767,143.0,325.0,83.0,589.0,6084,Official Stanford NLP Python Library for Many Human Languages.,41.0,31,True,2021-10-06 06:28:19.000,1.3.0,14.0,stanza,stanfordnlp/stanza,,,,1039.0,990.0,https://pypi.org/project/stanza,2021-10-05 06:37:56.000,49.0,502100.0,502299.0,https://anaconda.org/stanfordnlp/stanza,2021-10-05 07:17:34.873,4978.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n225,OpenNMT,OpenNMT/OpenNMT-py,nlp,,https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000,2022-04-19 20:13:16.000000,2022-02-09 16:15:17,2589.0,1.0,2034,163.0,857.0,120.0,1213.0,5561,Open Source Neural Machine Translation in PyTorch.,174.0,31,True,2021-09-14 08:49:23.000,2.2.0,32.0,OpenNMT-py,,,,['pytorch'],145.0,137.0,https://pypi.org/project/OpenNMT-py,2021-09-14 08:49:23.000,8.0,32415.0,32415.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n226,Metaflow,Netflix/metaflow,ml-experiments,,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000,2022-04-21 14:22:54.000000,2022-04-13 15:08:56,490.0,38.0,493,235.0,627.0,217.0,219.0,5493,Build and manage real-life data science projects with ease!.,49.0,31,True,2022-03-25 00:33:43.000,2.5.4,44.0,metaflow,conda-forge/metaflow,,,,286.0,279.0,https://pypi.org/project/metaflow,2022-03-25 01:34:51.000,7.0,45438.0,46668.0,https://anaconda.org/conda-forge/metaflow,2022-03-27 02:21:20.171,34451.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n227,TinyDB,msiemens/tinydb,data-containers,,https://github.com/msiemens/tinydb,https://github.com/msiemens/tinydb,MIT,2013-07-12 23:31:13.000,2022-02-21 11:49:29.000000,2022-02-19 16:12:17,666.0,14.0,430,106.0,139.0,8.0,273.0,5002,TinyDB is a lightweight document oriented database optimized for your happiness :).,76.0,31,True,2022-02-19 16:17:59.000,4.7.0,66.0,tinydb,conda-forge/tinydb,,,,792.0,,https://pypi.org/project/tinydb,2022-02-19 16:17:56.000,792.0,329734.0,332144.0,https://anaconda.org/conda-forge/tinydb,2022-02-19 18:47:02.852,168741.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n228,einops,arogozhnikov/einops,ml-frameworks,,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08.000,2022-04-11 06:45:39.000000,2022-04-01 05:47:58,397.0,11.0,207,54.0,57.0,32.0,75.0,4879,\"Deep learning operations reinvented (for pytorch, tensorflow, jax and others).\",17.0,31,True,2022-03-04 09:32:08.000,0.4.1,7.0,einops,conda-forge/einops,,,,2707.0,2507.0,https://pypi.org/project/einops,2022-03-04 09:32:08.000,200.0,1439631.0,1440056.0,https://anaconda.org/conda-forge/einops,2022-03-04 10:57:10.315,13192.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n229,InterpretML,interpretml/interpret,interpretability,,https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000,2022-04-07 21:41:03.000000,2022-04-07 21:40:37,1903.0,29.0,572,146.0,46.0,88.0,194.0,4681,Fit interpretable models. Explain blackbox machine learning.,28.0,31,True,2021-09-23 20:41:03.000,0.2.7,37.0,interpret,,,,['jupyter'],192.0,184.0,https://pypi.org/project/interpret,2021-09-23 19:52:27.000,8.0,98087.0,98087.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n230,cuDF,rapidsai/cudf,gpu-utilities,,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000,2022-04-21 14:43:37.000000,2022-04-21 13:02:21,34983.0,384.0,601,140.0,6221.0,733.0,3784.0,4658,cuDF - GPU DataFrame Library.,236.0,31,True,2022-04-06 15:19:46.000,22.04.00,23.0,cudf,,,,,5.0,,https://pypi.org/project/cudf,2020-06-01 20:07:47.000,5.0,1491.0,1491.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n231,Activeloop,activeloopai/Hub,data-pipelines,,https://github.com/activeloopai/Hub,https://github.com/activeloopai/Hub,MPL-2.0,2019-08-09 06:17:59.000,2022-04-21 14:35:49.000000,2022-04-21 14:34:49,5492.0,408.0,374,61.0,1237.0,59.0,300.0,4436,\"Dataset format for AI. Build, manage, query & visualize datasets for deep learning. Stream data real-time to..\",95.0,31,True,2022-04-19 05:11:30.000,2.3.4,130.0,hub,,,,,53.0,,https://pypi.org/project/hub,2022-04-19 05:05:32.000,53.0,3516.0,3516.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n232,AutoGluon,awslabs/autogluon,hyperopt,,https://github.com/awslabs/autogluon,https://github.com/awslabs/autogluon,Apache-2.0,2019-07-29 18:51:24.000,2022-04-21 09:04:41.000000,2022-04-18 06:32:00,846.0,84.0,578,84.0,934.0,140.0,517.0,4391,\"AutoGluon: AutoML for Image, Text, and Tabular Data.\",69.0,31,True,2022-03-10 04:47:18.000,0.4.0,759.0,autogluon,,,,['mxnet'],115.0,111.0,https://pypi.org/project/autogluon,2022-04-21 09:04:41.000,4.0,79692.0,79692.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n233,VisualDL,PaddlePaddle/VisualDL,ml-experiments,,https://github.com/PaddlePaddle/VisualDL,https://github.com/PaddlePaddle/VisualDL,Apache-2.0,2017-12-20 12:34:31.000,2022-04-09 05:16:35.000000,2022-04-01 08:12:37,861.0,1.0,577,153.0,658.0,73.0,334.0,4327,Deep Learning Visualization Toolkit.,31.0,31,True,2021-11-09 12:29:34.000,2.2.2,35.0,visualdl,,,,['paddle'],1098.0,1075.0,https://pypi.org/project/visualdl,2022-01-06 11:05:02.000,23.0,79901.0,79909.0,,,,,,,,2.0,177.0,,,,,,,,,,,,,,,,,,,\n234,Perspective,finos/perspective,data-viz,,https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000,2022-04-19 02:27:40.000000,2022-04-18 23:57:16,5132.0,135.0,454,100.0,1213.0,76.0,436.0,4323,\"A data visualization and analytics component, especially well-suited for large and/or streaming datasets.\",68.0,31,True,2022-04-18 20:19:17.885,1.3.7,71.0,perspective-python,conda-forge/perspective,,,['jupyter'],254.0,245.0,https://pypi.org/project/perspective-python,2022-03-14 20:14:01.000,9.0,2251.0,6724.0,https://anaconda.org/conda-forge/perspective,2022-04-03 20:22:15.829,49061.0,,,,,2.0,,,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2022-04-18 23:57:42.061,,2243.0,,,,,,,,,,,,\n235,PaddleSeg,PaddlePaddle/PaddleSeg,image,,https://github.com/PaddlePaddle/PaddleSeg,https://github.com/PaddlePaddle/PaddleSeg,Apache-2.0,2019-08-26 02:32:22.000,2022-04-21 09:56:27.000000,2022-04-21 01:25:06,2321.0,108.0,911,55.0,998.0,526.0,508.0,4005,\"Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in..\",77.0,31,True,2022-04-20 08:05:01.000,2.5.0,15.0,paddleseg,,,,['paddle'],536.0,534.0,https://pypi.org/project/paddleseg,2022-04-20 08:05:01.000,2.0,1561.0,1561.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n236,mlpack,mlpack/mlpack,ml-frameworks,,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59.000,2022-04-19 10:05:37.000000,2022-04-18 22:43:03,27525.0,108.0,1405,178.0,1762.0,103.0,1382.0,3974,mlpack: a scalable C++ machine learning library --.,286.0,31,True,2020-10-28 18:28:47.000,3.4.2,40.0,mlpack,conda-forge/mlpack,,,,1.0,,https://pypi.org/project/mlpack,2020-10-28 18:28:47.000,1.0,293.0,2496.0,https://anaconda.org/conda-forge/mlpack,2021-11-09 18:05:21.719,99143.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n237,speechbrain,speechbrain/speechbrain,audio,,https://github.com/speechbrain/speechbrain,https://github.com/speechbrain/speechbrain,Apache-2.0,2020-04-28 17:48:45.000,2022-04-21 05:49:54.000000,2022-04-20 06:32:18,6032.0,62.0,742,109.0,682.0,133.0,515.0,3936,A PyTorch-based Speech Toolkit.,154.0,31,True,2021-12-20 04:22:27.000,0.5.11,10.0,speechbrain,,,,['pytorch'],166.0,164.0,https://pypi.org/project/speechbrain,2021-12-20 04:23:25.000,2.0,7906.0,7906.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n238,sacred,IDSIA/sacred,ml-experiments,,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29.000,2022-03-28 13:51:55.000000,2022-03-28 13:48:51,1318.0,4.0,337,79.0,338.0,97.0,432.0,3786,\"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.\",97.0,31,True,2022-03-28 13:51:55.000,0.8.3,27.0,sacred,conda-forge/sacred,,,,1425.0,1323.0,https://pypi.org/project/sacred,2020-12-14 15:21:05.000,102.0,25020.0,25075.0,https://anaconda.org/conda-forge/sacred,2021-11-14 09:49:23.948,276.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n239,dyNET,clab/dynet,ml-frameworks,,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21.000,2022-03-12 01:10:50.000000,2022-03-11 14:08:21,3271.0,4.0,703,189.0,731.0,259.0,661.0,3289,DyNet: The Dynamic Neural Network Toolkit.,159.0,31,True,2020-10-21 14:31:01.000,2.1.2,24.0,dyNET,,,,,237.0,209.0,https://pypi.org/project/dyNET,2020-10-21 14:31:01.000,28.0,18996.0,19077.0,,,,,,,,3.0,5397.0,,,,,,,,,,,,,,,,,,,\n240,nevergrad,facebookresearch/nevergrad,hyperopt,,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000,2022-04-21 14:00:53.000000,2022-04-20 14:45:14,1001.0,55.0,311,66.0,1214.0,108.0,154.0,3277,A Python toolbox for performing gradient-free optimization.,48.0,31,True,2022-03-08 18:42:46.000,0.5.0,36.0,nevergrad,conda-forge/nevergrad,,,,332.0,314.0,https://pypi.org/project/nevergrad,2022-03-08 18:42:46.000,18.0,31591.0,32606.0,https://anaconda.org/conda-forge/nevergrad,2021-06-14 12:44:22.518,24383.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n241,ftfy,rspeer/python-ftfy,nlp,,https://github.com/rspeer/python-ftfy,https://github.com/rspeer/python-ftfy,MIT,2012-08-24 16:14:59.000,2022-03-13 19:47:23.479000,2022-02-09 19:43:12,605.0,15.0,112,73.0,62.0,11.0,118.0,3225,\"Fixes mojibake and other glitches in Unicode text, after the fact.\",18.0,31,True,2022-02-09 19:44:15.000,6.1.1,48.0,ftfy,conda-forge/ftfy,,,,5935.0,5444.0,https://pypi.org/project/ftfy,2022-02-09 19:44:15.000,491.0,1469278.0,1471812.0,https://anaconda.org/conda-forge/ftfy,2022-03-13 19:47:23.479,152080.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n242,missingno,ResidentMario/missingno,data-viz,,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50.000,2022-02-27 20:46:03.000000,2022-02-27 20:46:03,186.0,6.0,394,70.0,36.0,6.0,112.0,3144,Missing data visualization module for Python.,17.0,31,True,2022-02-27 20:39:36.000,0.5.1,25.0,missingno,conda-forge/missingno,,,,7091.0,6976.0,https://pypi.org/project/missingno,2022-02-27 20:39:36.000,115.0,959035.0,961698.0,https://anaconda.org/conda-forge/missingno,2020-02-15 10:07:41.253,151794.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n243,Koalas,databricks/koalas,data-containers,,https://github.com/databricks/koalas,https://github.com/databricks/koalas,Apache-2.0,2019-01-03 21:46:54.000,2021-10-26 06:53:37.000000,2021-10-21 22:12:35,1547.0,,332,228.0,1629.0,103.0,485.0,3117,Koalas: pandas API on Apache Spark.,51.0,31,True,2021-10-19 22:26:46.000,1.8.2,47.0,koalas,conda-forge/koalas,,,\"['spark', 'pandas']\",218.0,205.0,https://pypi.org/project/koalas,2021-10-19 22:26:05.000,13.0,1263595.0,1266958.0,https://anaconda.org/conda-forge/koalas,2021-10-20 00:43:43.868,116790.0,,,,,2.0,1006.0,,,,,,,,,,,,,,,,,,,\n244,Captum,pytorch/captum,interpretability,,https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000,2022-04-19 23:19:39.000000,2022-04-19 22:46:12,924.0,40.0,323,201.0,585.0,87.0,271.0,3111,Model interpretability and understanding for PyTorch.,82.0,31,True,2022-03-04 00:37:56.000,0.5.0,8.0,captum,conda-forge/captum,,,['pytorch'],514.0,495.0,https://pypi.org/project/captum,2022-03-03 23:07:53.000,19.0,53763.0,53922.0,https://anaconda.org/conda-forge/captum,2022-03-04 22:07:02.170,639.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n245,plotnine,has2k1/plotnine,data-viz,,https://github.com/has2k1/plotnine,https://github.com/has2k1/plotnine,GPL-2.0,2017-04-24 19:00:44.000,2022-04-20 10:17:50.000000,2022-04-19 13:05:43,1783.0,55.0,162,66.0,101.0,63.0,423.0,3044,A grammar of graphics for Python.,94.0,31,False,2021-03-25 12:57:10.000,0.8.0,11.0,plotnine,conda-forge/plotnine,,,,203.0,,https://pypi.org/project/plotnine,2021-03-25 10:49:20.000,203.0,259612.0,262327.0,https://anaconda.org/conda-forge/plotnine,2021-03-25 12:31:04.423,160242.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n246,Blaze,blaze/blaze,data-containers,,https://github.com/blaze/blaze,https://github.com/blaze/blaze,BSD-3-Clause,2012-10-26 14:25:22.000,2020-02-01 19:33:09.000000,2019-08-15 21:14:59,7496.0,,381,200.0,942.0,263.0,500.0,3032,NumPy and Pandas interface to Big Data.,64.0,31,False,2016-07-19 20:40:03.000,0.11.0,14.0,blaze,conda-forge/blaze,,,,8959.0,8141.0,https://pypi.org/project/blaze,2016-05-06 21:19:21.000,818.0,14037.0,17545.0,https://anaconda.org/conda-forge/blaze,2018-07-15 22:16:17.685,196478.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n247,datashader,holoviz/datashader,data-viz,,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000,2022-04-20 21:56:50.000000,2022-04-15 01:48:17,1325.0,25.0,349,90.0,572.0,133.0,369.0,2753,Quickly and accurately render even the largest data.,47.0,31,True,2021-06-09 23:30:20.000,0.13.0,24.0,datashader,conda-forge/datashader,,,,1141.0,1049.0,https://pypi.org/project/datashader,2022-04-06 18:36:44.000,92.0,42425.0,47853.0,https://anaconda.org/conda-forge/datashader,2021-06-10 09:04:19.929,287721.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n248,implicit,benfred/implicit,recommender-systems,,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000,2022-04-12 23:24:10.000000,2022-04-12 23:24:07,380.0,25.0,533,82.0,172.0,70.0,325.0,2746,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,30.0,31,True,2022-01-29 04:12:37.000,0.5.2,41.0,implicit,conda-forge/implicit,,,,614.0,583.0,https://pypi.org/project/implicit,2022-01-29 04:12:37.000,31.0,147670.0,154332.0,https://anaconda.org/conda-forge/implicit,2022-01-29 16:35:56.077,339771.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n249,NMSLIB,nmslib/nmslib,nn-search,,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06.000,2022-04-19 16:32:28.000000,2022-04-19 16:32:11,1555.0,39.0,381,97.0,119.0,60.0,337.0,2744,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,48.0,31,True,2021-02-03 16:40:09.000,2.1.1,32.0,nmslib,conda-forge/nmslib,,,,637.0,590.0,https://pypi.org/project/nmslib,2021-02-03 00:02:08.000,47.0,104048.0,106110.0,https://anaconda.org/conda-forge/nmslib,2022-04-15 23:08:32.465,49496.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n250,aim,aimhubio/aim,ml-experiments,,https://github.com/aimhubio/aim,https://github.com/aimhubio/aim,Apache-2.0,2019-05-31 18:25:07.000,2022-04-21 11:35:23.000000,2022-04-20 14:09:07,1541.0,262.0,135,33.0,1198.0,144.0,318.0,2336,Aim an easy-to-use and performant open-source experiment tracker.,32.0,31,True,2022-04-06 13:40:00.000,3.8.1,198.0,aim,conda-forge/aim,,,,75.0,71.0,https://pypi.org/project/aim,2022-04-21 00:16:09.000,4.0,36033.0,37111.0,https://anaconda.org/conda-forge/aim,2021-10-15 14:36:27.336,9709.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n251,filterpy,rlabbe/filterpy,probabilistics,,https://github.com/rlabbe/filterpy,https://github.com/rlabbe/filterpy,MIT,2014-07-15 02:15:19.000,2022-04-18 14:24:32.000000,2021-05-04 18:33:52,542.0,,495,73.0,69.0,47.0,154.0,2209,\"Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman..\",36.0,31,True,2018-10-10 22:38:24.000,1.4.5,49.0,filterpy,conda-forge/filterpy,,,,1484.0,1358.0,https://pypi.org/project/filterpy,2018-10-10 22:38:24.000,126.0,675791.0,677183.0,https://anaconda.org/conda-forge/filterpy,2020-05-05 21:13:59.073,80751.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n252,Foolbox,bethgelab/foolbox,adversarial,,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48.000,2022-04-14 16:10:53.000000,2022-04-02 15:23:34,1695.0,45.0,394,46.0,341.0,20.0,325.0,2201,\"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.\",32.0,31,True,2022-04-02 15:26:45.000,3.3.3,70.0,foolbox,conda-forge/foolbox,,,,294.0,281.0,https://pypi.org/project/foolbox,2022-04-02 15:26:45.000,13.0,3785.0,4054.0,https://anaconda.org/conda-forge/foolbox,2021-04-30 19:06:43.853,5668.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n253,Pythran,serge-sans-paille/pythran,others,,https://github.com/serge-sans-paille/pythran,https://github.com/serge-sans-paille/pythran,BSD-3-Clause,2012-05-29 08:02:14.000,2022-04-12 04:58:45.000000,2022-04-12 04:58:45,3529.0,30.0,171,53.0,1246.0,113.0,643.0,1720,Ahead of Time compiler for numeric kernels.,65.0,31,True,2021-12-14 08:16:44.000,0.11.0,52.0,pythran,conda-forge/pythran,,,,140.0,126.0,https://pypi.org/project/pythran,2021-12-14 08:16:44.000,14.0,292107.0,296883.0,https://anaconda.org/conda-forge/pythran,2022-04-10 10:43:10.231,224492.0,,,,,2.0,,,,,,,,,,,,,,,,,,,pythran,python-pythran\n254,FairScale,facebookresearch/fairscale,distributed-ml,,https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000,2022-04-11 18:32:09.000000,2022-04-06 18:47:47,605.0,23.0,163,36.0,676.0,66.0,236.0,1699,PyTorch extensions for high performance and large scale training.,57.0,31,True,2022-03-09 19:12:03.000,0.4.6,28.0,fairscale,conda-forge/fairscale,,,['pytorch'],255.0,240.0,https://pypi.org/project/fairscale,2022-03-09 19:12:00.000,15.0,102178.0,104606.0,https://anaconda.org/conda-forge/fairscale,2022-03-22 05:13:02.529,12140.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n255,jellyfish,jamesturk/jellyfish,nlp,,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,BSD-2-Clause,2010-07-09 20:41:11.000,2022-04-08 08:13:55.565000,2022-01-07 20:13:06,422.0,,148,42.0,51.0,9.0,99.0,1647,a python library for doing approximate and phonetic matching of strings.,25.0,31,True,2022-01-07 20:20:43.000,0.9.0,32.0,jellyfish,conda-forge/jellyfish,,,,3942.0,3544.0,https://pypi.org/project/jellyfish,2022-01-07 20:20:43.000,398.0,2025280.0,2028240.0,https://anaconda.org/conda-forge/jellyfish,2022-04-08 08:13:55.565,198339.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n256,mleap,combust/mleap,data-pipelines,,https://github.com/combust/mleap,https://github.com/combust/mleap,Apache-2.0,2016-08-23 03:51:03.000,2022-04-15 15:49:17.000000,2022-04-04 13:24:29,995.0,17.0,296,73.0,374.0,90.0,354.0,1375,MLeap: Deploy ML Pipelines to Production.,73.0,31,True,2022-04-04 13:22:30.000,0.20.0,10.0,mleap,conda-forge/mleap,,,,206.0,180.0,https://pypi.org/project/mleap,2022-04-04 13:22:30.000,26.0,204810.0,206067.0,https://anaconda.org/conda-forge/mleap,2022-04-05 03:50:48.321,45269.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n257,tensorly,tensorly/tensorly,others,,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52.000,2022-04-14 21:28:44.000000,2022-04-14 21:18:48,1430.0,81.0,233,39.0,199.0,48.0,137.0,1218,TensorLy: Tensor Learning in Python.,52.0,31,True,2021-11-08 13:38:03.000,0.7.0,18.0,tensorly,conda-forge/tensorly,,,,279.0,249.0,https://pypi.org/project/tensorly,2021-11-08 13:38:03.000,30.0,5556.0,10370.0,https://anaconda.org/conda-forge/tensorly,2021-12-09 16:07:42.501,226263.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n258,Model Analysis,tensorflow/model-analysis,interpretability,,https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000,2022-04-19 21:05:11.000000,2022-04-19 21:05:08,1137.0,47.0,244,70.0,90.0,28.0,49.0,1151,Model analysis tools for TensorFlow.,41.0,31,True,2022-03-04 23:47:25.000,0.38.0,48.0,tensorflow-model-analysis,,,,\"['tensorflow', 'jupyter']\",21.0,,https://pypi.org/project/tensorflow-model-analysis,2022-03-05 00:02:30.000,21.0,908576.0,908576.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n259,cartopy,SciTools/cartopy,data-viz,,https://github.com/SciTools/cartopy,https://github.com/SciTools/cartopy,LGPL-3.0,2012-08-03 07:43:59.000,2022-03-27 14:19:39.000000,2022-03-26 15:12:21,2600.0,22.0,313,58.0,978.0,303.0,773.0,1035,Cartopy - a cartographic python library with matplotlib support.,108.0,31,False,2022-01-13 02:45:47.000,0.20.2,25.0,cartopy,conda-forge/cartopy,,,,2605.0,2302.0,https://pypi.org/project/cartopy,2022-01-13 02:48:14.000,303.0,133453.0,161349.0,https://anaconda.org/conda-forge/cartopy,2022-03-09 12:44:40.770,2036444.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n260,igraph,igraph/python-igraph,graph,,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16.000,2022-04-21 14:06:00.000000,2022-04-20 07:38:06,1888.0,28.0,216,35.0,136.0,37.0,353.0,962,Python interface for igraph.,59.0,31,False,2022-04-11 14:19:16.000,0.9.10,28.0,python-igraph,conda-forge/igraph,,,,968.0,594.0,https://pypi.org/project/python-igraph,2022-04-11 14:19:16.000,374.0,231930.0,242419.0,https://anaconda.org/conda-forge/igraph,2022-04-12 09:31:20.357,281259.0,,,,,1.0,385642.0,,,,,,,,,,,,,,,,,,,\n261,pyopencl,inducer/pyopencl,others,,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,MIT,2011-04-06 02:51:33.000,2022-04-19 16:49:16.000000,2022-04-19 04:34:11,3066.0,18.0,227,46.0,246.0,71.0,238.0,882,\"OpenCL integration for Python, plus shiny features.\",90.0,31,True,2022-04-19 04:32:48.000,2022.1.2,79.0,pyopencl,conda-forge/pyopencl,,,,893.0,707.0,https://pypi.org/project/pyopencl,2022-04-19 04:34:51.000,186.0,23005.0,31806.0,https://anaconda.org/conda-forge/pyopencl,2022-04-19 14:44:38.853,580902.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n262,metrics,PyTorchLightning/metrics,distributed-ml,,https://github.com/PyTorchLightning/metrics,https://github.com/PyTorchLightning/metrics,Apache-2.0,2020-12-22 20:02:42.000,2022-04-21 15:07:04.000000,2022-04-21 14:08:45,754.0,106.0,174,25.0,532.0,59.0,281.0,827,\"Machine learning metrics for distributed, scalable PyTorch applications.\",127.0,31,True,2022-04-15 01:07:25.000,0.8.0,16.0,metrics,conda-forge/torchmetrics,,,['pytorch'],2616.0,2602.0,https://pypi.org/project/metrics,2018-04-28 10:58:56.000,14.0,3210.0,27194.0,https://anaconda.org/conda-forge/torchmetrics,2022-04-15 08:17:42.383,311237.0,,,,,2.0,566.0,,,,,,,,,,,,,,,,,,,\n263,huggingface_hub,huggingface/huggingface_hub,model-serialisation,,https://github.com/huggingface/huggingface_hub,https://github.com/huggingface/huggingface_hub,Apache-2.0,2020-12-22 10:20:28.000,2022-04-21 13:36:52.000000,2022-04-21 13:36:52,624.0,109.0,92,40.0,564.0,75.0,149.0,395,All the open source things related to the Hugging Face Hub.,61.0,31,True,2022-04-07 19:10:36.000,0.5.1,28.0,huggingface_hub,conda-forge/huggingface_hub,,,,66.0,,https://pypi.org/project/huggingface_hub,2022-04-06 12:19:09.000,66.0,3784798.0,3791049.0,https://anaconda.org/conda-forge/huggingface_hub,2022-04-06 13:35:18.503,87524.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n264,Vaex,vaexio/vaex,data-containers,,https://github.com/vaexio/vaex,https://github.com/vaexio/vaex,MIT,2014-09-27 09:44:42.000,2022-04-18 21:53:07.000000,2022-04-13 10:47:52,3476.0,91.0,537,141.0,866.0,373.0,668.0,7004,\"Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a..\",64.0,30,True,2022-04-12 15:42:53.000,4.9.1,60.0,vaex,conda-forge/vaex,,,,16.0,,https://pypi.org/project/vaex,2022-04-12 15:42:53.000,16.0,44161.0,46025.0,https://anaconda.org/conda-forge/vaex,2022-04-12 13:40:03.220,122934.0,,,,,3.0,226.0,,,,,,,,,,,,,,,,,,,\n265,imageai,OlafenwaMoses/ImageAI,image,,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33.000,2022-03-11 23:50:34.000000,2021-05-08 20:05:36,292.0,,1899,278.0,68.0,251.0,429.0,6972,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,15.0,30,True,2021-01-05 01:26:01.000,2.1.6,10.0,imageai,conda-forge/imageai,,,,1105.0,1089.0,https://pypi.org/project/imageai,2021-01-05 01:26:01.000,16.0,13627.0,29136.0,https://anaconda.org/conda-forge/imageai,2021-04-30 19:03:25.297,2566.0,,,,,2.0,738617.0,,,,,,,,,,,,,,,,,,,\n266,faust,robinhood/faust,data-pipelines,,https://github.com/robinhood/faust,https://github.com/robinhood/faust,BSD-3-Clause,2017-03-08 18:36:11.000,2022-03-30 13:12:33.000000,2020-10-09 12:59:42,4137.0,,520,135.0,285.0,249.0,237.0,6118,Python Stream Processing.,93.0,30,False,2020-02-25 22:57:18.000,1.10.4,46.0,faust,,,,,1058.0,1029.0,https://pypi.org/project/faust,2020-02-25 22:57:18.000,29.0,42010.0,42010.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n267,DeepPavlov,deepmipt/DeepPavlov,nlp,,https://github.com/deepmipt/DeepPavlov,https://github.com/deepmipt/DeepPavlov,Apache-2.0,2017-11-17 14:35:29.000,2022-04-21 13:43:03.000000,2022-04-16 08:00:16,2613.0,2.0,1020,213.0,944.0,128.0,549.0,5683,An open source library for deep learning end-to-end dialog systems and chatbots.,67.0,30,True,2021-12-16 19:47:39.000,0.17.2,48.0,deeppavlov,,,,['tensorflow'],264.0,258.0,https://pypi.org/project/deeppavlov,2022-03-29 08:14:12.000,6.0,11196.0,11196.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n268,FinRL,AI4Finance-Foundation/FinRL,reinforcement-learning,,https://github.com/AI4Finance-Foundation/FinRL,https://github.com/AI4Finance-Foundation/FinRL,MIT,2020-07-26 13:18:16.000,2022-04-20 23:47:11.000000,2022-04-20 23:47:11,1984.0,610.0,1107,136.0,160.0,79.0,338.0,4727,FinRL: The first open-source project for financial reinforcement learning. Please star.,62.0,30,True,2022-01-08 13:58:14.000,0.3.4,6.0,finrl,,,,,11.0,11.0,https://pypi.org/project/finrl,2022-01-08 13:58:14.000,,386.0,386.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n269,pyAudioAnalysis,tyiannak/pyAudioAnalysis,audio,,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13.000,2022-04-19 21:26:55.000000,2022-04-19 21:26:51,771.0,38.0,1069,207.0,86.0,176.0,117.0,4721,\"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.\",26.0,30,True,2022-02-07 22:36:53.000,0.3.14,23.0,pyAudioAnalysis,,,,,281.0,262.0,https://pypi.org/project/pyAudioAnalysis,2022-02-07 22:36:53.000,19.0,10611.0,10611.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n270,DEAP,deap/deap,distributed-ml,,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39.000,2022-04-19 14:41:23.000000,2022-01-22 18:26:24,2187.0,1.0,954,202.0,192.0,225.0,252.0,4667,Distributed Evolutionary Algorithms in Python.,78.0,30,False,2020-01-21 01:18:06.000,1.3.1,19.0,deap,conda-forge/deap,,,,2873.0,2552.0,https://pypi.org/project/deap,2020-01-21 01:18:06.000,321.0,150917.0,153372.0,https://anaconda.org/conda-forge/deap,2022-04-11 15:37:59.925,171916.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n271,NeMo,NVIDIA/NeMo,nlp,,https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000,2022-04-21 14:01:12.000000,2022-04-20 22:46:30,4325.0,244.0,920,127.0,2739.0,72.0,1010.0,4109,NeMo: a toolkit for conversational AI.,140.0,30,True,2022-04-20 04:29:29.000,1.8.0,53.0,nemo-toolkit,,,,['pytorch'],7.0,,https://pypi.org/project/nemo-toolkit,2022-04-20 03:27:42.000,7.0,16777.0,17137.0,,,,,,,,2.0,11161.0,,,,,,,,,,,,,,,,,,,\n272,imutils,PyImageSearch/imutils,image,,https://github.com/PyImageSearch/imutils,https://github.com/PyImageSearch/imutils,MIT,2015-01-11 20:05:39.000,2022-04-02 09:09:46.000000,2022-01-27 13:24:16,139.0,1.0,954,152.0,107.0,146.0,77.0,4049,\"A series of convenience functions to make basic image processing operations such as translation, rotation, resizing,..\",21.0,30,True,2021-01-15 10:53:17.000,0.5.4,29.0,imutils,conda-forge/imutils,,,,25149.0,24394.0,https://pypi.org/project/imutils,2021-01-15 10:53:17.000,755.0,298120.0,300491.0,https://anaconda.org/conda-forge/imutils,2021-12-09 01:25:49.387,80646.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n273,huey,coleifer/huey,data-pipelines,,https://github.com/coleifer/huey,https://github.com/coleifer/huey,MIT,2011-11-03 16:39:43.000,2022-03-16 16:12:13.000000,2022-02-22 16:46:32,935.0,1.0,330,83.0,161.0,,500.0,3923,a little task queue for python.,66.0,30,True,2021-12-28 18:36:38.000,2.4.3,64.0,huey,conda-forge/huey,,,,1063.0,903.0,https://pypi.org/project/huey,2021-12-28 18:36:38.000,160.0,223423.0,223909.0,https://anaconda.org/conda-forge/huey,2019-10-16 15:34:27.487,23333.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n274,deepface,serengil/deepface,image,,https://github.com/serengil/deepface,https://github.com/serengil/deepface,MIT,2020-02-08 20:42:28.000,2022-04-15 20:56:22.000000,2022-04-15 20:56:22,745.0,29.0,814,72.0,33.0,4.0,425.0,3616,\"A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python.\",23.0,30,True,2022-02-16 06:13:01.000,0.0.73,73.0,deepface,,,,,511.0,508.0,https://pypi.org/project/deepface,2022-03-11 20:45:38.000,3.0,29810.0,29810.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n275,yellowbrick,DistrictDataLabs/yellowbrick,interpretability,,https://github.com/DistrictDataLabs/yellowbrick,https://github.com/DistrictDataLabs/yellowbrick,Apache-2.0,2016-05-18 14:12:17.000,2022-04-19 16:02:11.000000,2022-04-19 16:02:10,873.0,11.0,516,105.0,583.0,90.0,566.0,3555,Visual analysis and diagnostic tools to facilitate machine learning model selection.,104.0,30,True,2022-02-19 22:49:03.000,1.4,23.0,yellowbrick,conda-forge/yellowbrick,,,['sklearn'],62.0,,https://pypi.org/project/yellowbrick,2022-02-19 22:41:36.000,62.0,589643.0,590828.0,https://anaconda.org/conda-forge/yellowbrick,2022-03-24 21:56:05.074,23718.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n276,D-Tale,man-group/dtale,data-viz,,https://github.com/man-group/dtale,https://github.com/man-group/dtale,LGPL-2.1,2019-07-15 09:34:48.000,2022-04-09 12:53:38.000000,2022-03-31 18:12:01,592.0,39.0,262,65.0,202.0,40.0,418.0,3358,Visualizer for pandas data structures.,23.0,30,True,2022-03-24 02:37:28.000,2.2.0,145.0,dtale,conda-forge/dtale,,,\"['pandas', 'jupyter']\",347.0,336.0,https://pypi.org/project/dtale,2022-03-24 02:36:09.000,11.0,70649.0,74922.0,https://anaconda.org/conda-forge/dtale,2022-03-24 03:01:11.816,111122.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n277,River,online-ml/river,others,,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000,2022-04-13 23:56:57.000000,2022-04-13 23:53:50,3290.0,57.0,365,80.0,304.0,14.0,348.0,3312,Online machine learning in Python.,76.0,30,True,2022-02-04 15:14:56.000,0.10.0,6.0,river,conda-forge/river,,,,110.0,104.0,https://pypi.org/project/river,2022-02-04 15:29:10.000,6.0,6194.0,6806.0,https://anaconda.org/conda-forge/river,2021-12-09 16:10:41.029,7351.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n278,ta,bukosabino/ta,financial-data,,https://github.com/bukosabino/ta,https://github.com/bukosabino/ta,MIT,2018-01-02 18:08:48.000,2022-04-16 21:30:42.000000,2022-04-16 10:19:05,609.0,8.0,700,128.0,101.0,111.0,96.0,2941,Technical Analysis Library using Pandas and Numpy.,27.0,30,True,2022-04-16 10:24:20.000,0.10.1,53.0,ta,conda-forge/ta,,,,1172.0,1139.0,https://pypi.org/project/ta,2022-04-16 10:24:20.000,33.0,63150.0,63339.0,https://anaconda.org/conda-forge/ta,2022-01-12 11:50:54.974,2648.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n279,Arctic,man-group/arctic,data-containers,,https://github.com/man-group/arctic,https://github.com/man-group/arctic,LGPL-2.1,2015-05-29 13:37:30.000,2022-04-12 09:06:28.000000,2022-03-02 16:04:05,1111.0,6.0,522,176.0,432.0,96.0,445.0,2666,Arctic is a high performance datastore for numeric data.,75.0,30,True,2022-01-26 14:04:58.000,1.80.4,89.0,arctic,conda-forge/arctic,,,,193.0,159.0,https://pypi.org/project/arctic,2022-01-24 17:37:17.000,34.0,12449.0,12972.0,https://anaconda.org/conda-forge/arctic,2019-12-16 08:57:24.231,18255.0,,,,,3.0,182.0,,,,,,,,,,,,,,,,,,,\n280,TorchServe,pytorch/serve,model-serialisation,,https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000,2022-04-20 21:33:11.000000,2022-04-20 02:10:03,3031.0,462.0,495,47.0,735.0,150.0,707.0,2567,Serve PyTorch models in production.,105.0,30,True,2022-03-01 23:52:48.000,0.5.3,14.0,torchserve,pytorch/torchserve,pytorch/torchserve,,['pytorch'],8.0,,https://pypi.org/project/torchserve,2022-03-01 19:56:22.000,8.0,14816.0,49599.0,https://anaconda.org/pytorch/torchserve,2022-03-01 22:01:57.360,21540.0,https://hub.docker.com/r/pytorch/torchserve,2022-03-01 18:53:18.598018,11.0,1014915.0,2.0,1366.0,,,,,,,,,,,,,,,,,,,\n281,Cufflinks,santosjorge/cufflinks,data-viz,,https://github.com/santosjorge/cufflinks,https://github.com/santosjorge/cufflinks,MIT,2014-11-19 20:59:33.000,2022-02-11 16:25:24.000000,2021-02-25 05:05:09,452.0,,587,105.0,73.0,92.0,123.0,2550,Productivity Tools for Plotly + Pandas.,38.0,30,False,2020-03-01 17:42:01.000,0.17.3,28.0,cufflinks,,,,['pandas'],5830.0,5672.0,https://pypi.org/project/cufflinks,2021-12-15 15:49:58.297,158.0,325545.0,325545.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n282,Neural Network Libraries,sony/nnabla,ml-frameworks,,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10.000,2022-04-20 21:49:05.000000,2022-04-20 21:49:01,3051.0,77.0,315,161.0,994.0,31.0,45.0,2531,Neural Network Libraries.,66.0,30,True,2022-04-11 00:57:34.000,1.27.0,64.0,nnabla,,,,,52.0,,https://pypi.org/project/nnabla,2022-04-08 01:42:57.000,52.0,4753.0,4762.0,,,,,,,,3.0,534.0,,,,,,,,,,,,,,,,,,,\n283,hdbscan,scikit-learn-contrib/hdbscan,others,,https://github.com/scikit-learn-contrib/hdbscan,https://github.com/scikit-learn-contrib/hdbscan,BSD-3-Clause,2015-04-22 13:32:37.000,2022-03-28 17:55:32.000000,2022-03-28 17:55:32,941.0,6.0,396,55.0,115.0,269.0,155.0,2149,A high performance implementation of HDBSCAN clustering.,77.0,30,True,2022-02-08 17:15:41.000,0.8.28.wheels,44.0,hdbscan,conda-forge/hdbscan,,,['sklearn'],1480.0,1330.0,https://pypi.org/project/hdbscan,2022-02-08 15:45:27.000,150.0,359632.0,374776.0,https://anaconda.org/conda-forge/hdbscan,2022-02-11 21:21:32.499,1044971.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n284,tslearn,tslearn-team/tslearn,time-series-data,,https://github.com/tslearn-team/tslearn,https://github.com/tslearn-team/tslearn,BSD-2-Clause,2017-05-04 13:08:13.000,2022-03-03 17:10:02.000000,2021-12-06 15:56:44,1581.0,,274,58.0,131.0,87.0,181.0,2081,A machine learning toolkit dedicated to time-series data.,36.0,30,True,2021-08-16 07:09:52.000,0.5.2,94.0,tslearn,conda-forge/tslearn,,,['sklearn'],492.0,473.0,https://pypi.org/project/tslearn,2021-08-16 07:29:50.000,19.0,105052.0,110152.0,https://anaconda.org/conda-forge/tslearn,2022-01-15 08:48:51.564,249924.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n285,pgmpy,pgmpy/pgmpy,probabilistics,,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000,2022-03-30 19:17:43.000000,2022-03-30 18:45:20,2809.0,4.0,632,79.0,756.0,224.0,558.0,2031,\"Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in..\",104.0,30,True,2022-03-30 19:18:53.000,0.1.18,17.0,pgmpy,,,,,356.0,345.0,https://pypi.org/project/pgmpy,2022-03-30 19:09:08.000,11.0,56100.0,56106.0,,,,,,,,2.0,150.0,,,,,,,,,,,,,,,,,,,\n286,hnswlib,nmslib/hnswlib,nn-search,,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000,2022-04-16 08:50:37.714000,2022-04-16 02:58:29,379.0,15.0,364,62.0,144.0,126.0,121.0,1948,Header-only C++/python library for fast approximate nearest neighbors.,56.0,30,True,2022-02-14 22:34:58.000,0.6.2,9.0,hnswlib,conda-forge/hnswlib,,,,245.0,221.0,https://pypi.org/project/hnswlib,2022-02-14 22:34:58.000,24.0,180145.0,182499.0,https://anaconda.org/conda-forge/hnswlib,2022-04-16 08:50:37.714,37667.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n287,TextAttack,QData/TextAttack,adversarial,,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000,2022-04-17 17:31:35.000000,2022-04-04 04:17:16,2457.0,48.0,245,30.0,439.0,38.0,160.0,1940,\"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP..\",49.0,30,True,2021-11-10 01:36:28.000,0.3.4,42.0,textattack,conda-forge/textattack,,,,80.0,73.0,https://pypi.org/project/textattack,2021-11-10 01:36:28.000,7.0,6703.0,6842.0,https://anaconda.org/conda-forge/textattack,2021-06-29 21:16:15.345,2652.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n288,Haiku,deepmind/dm-haiku,ml-frameworks,,https://github.com/deepmind/dm-haiku,https://github.com/deepmind/dm-haiku,Apache-2.0,2020-02-18 07:14:02.000,2022-04-21 13:10:05.000000,2022-04-21 13:09:59,718.0,51.0,148,37.0,234.0,35.0,109.0,1849,JAX-based neural network library.,59.0,30,True,2022-02-14 13:30:31.000,0.0.6,8.0,dm-haiku,conda-forge/dm-haiku,,,,441.0,411.0,https://pypi.org/project/dm-haiku,2022-02-14 13:30:31.000,30.0,89837.0,90005.0,https://anaconda.org/conda-forge/dm-haiku,2022-02-14 15:16:38.407,2359.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n289,TFX,tensorflow/tfx,data-pipelines,,https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000,2022-04-20 03:15:15.000000,2022-04-20 03:15:09,4202.0,135.0,549,90.0,4067.0,249.0,507.0,1728,TFX is an end-to-end platform for deploying production ML pipelines.,134.0,30,True,2022-04-11 19:13:24.000,1.6.2,76.0,tfx,,,,['tensorflow'],8.0,,https://pypi.org/project/tfx,2022-04-11 19:13:24.000,8.0,308875.0,308875.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n290,shapash,MAIF/shapash,interpretability,,https://github.com/MAIF/shapash,https://github.com/MAIF/shapash,Apache-2.0,2020-04-29 07:34:23.000,2022-04-21 14:38:30.000000,2022-04-21 14:38:30,1117.0,152.0,220,35.0,225.0,18.0,96.0,1655,Shapash makes Machine Learning models transparent and understandable by everyone.,35.0,30,True,2022-04-19 09:23:00.000,2.0.0,20.0,shapash,,,,['jupyter'],72.0,72.0,https://pypi.org/project/shapash,2022-04-19 09:23:00.000,,17440.0,17440.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n291,pyLDAvis,bmabey/pyLDAvis,interpretability,,https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03.000,2022-02-01 14:45:02.000000,2021-03-24 13:03:31,240.0,,320,57.0,64.0,86.0,78.0,1595,Python library for interactive topic model visualization. Port of the R LDAvis package.,32.0,30,False,2021-03-24 13:05:21.000,3.3.1,24.0,pyldavis,conda-forge/pyldavis,,,['jupyter'],3488.0,3358.0,https://pypi.org/project/pyldavis,2021-03-24 12:57:08.000,130.0,707817.0,708618.0,https://anaconda.org/conda-forge/pyldavis,2021-03-24 15:17:07.309,36879.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n292,PyCUDA,inducer/pycuda,gpu-utilities,,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000,2022-04-12 14:41:22.226000,2022-03-03 19:44:39,1519.0,6.0,253,54.0,118.0,65.0,157.0,1295,\"CUDA integration for Python, plus shiny features.\",75.0,30,True,2019-08-12 04:15:37.000,2019.1.2,47.0,pycuda,conda-forge/pycuda,,,,1462.0,1272.0,https://pypi.org/project/pycuda,2021-04-03 22:28:54.000,190.0,29535.0,34222.0,https://anaconda.org/conda-forge/pycuda,2022-04-12 14:41:22.226,60935.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n293,PennyLane,PennyLaneAI/PennyLane,others,,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000,2022-04-21 14:56:33.000000,2022-04-20 22:32:21,2492.0,171.0,356,53.0,1836.0,165.0,507.0,1219,PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum..,94.0,30,True,2022-04-01 19:05:27.000,0.22.2,34.0,pennylane,conda-forge/pennylane,,,,30.0,,https://pypi.org/project/pennylane,2022-04-01 19:05:27.000,30.0,16412.0,16561.0,https://anaconda.org/conda-forge/pennylane,2022-04-02 06:28:24.005,742.0,,,,,2.0,60.0,,,,,,,,,,,,,,,,,,,\n294,SciSpacy,allenai/scispacy,nlp,,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52.000,2022-03-10 20:26:25.000000,2022-03-10 20:26:25,974.0,26.0,154,57.0,182.0,37.0,221.0,1141,A full spaCy pipeline and models for scientific/biomedical documents.,23.0,30,True,2022-03-10 20:16:24.000,0.5.0,11.0,scispacy,,,,,461.0,444.0,https://pypi.org/project/scispacy,2022-03-10 20:16:24.000,17.0,24990.0,24990.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n295,agate,wireservice/agate,others,,https://github.com/wireservice/agate,https://github.com/wireservice/agate,MIT,2014-04-25 13:59:09.000,2022-03-02 09:28:56.000000,2021-07-15 17:22:49,1466.0,,135,42.0,125.0,54.0,630.0,1089,A Python data analysis library that is optimized for humans instead of machines.,49.0,30,True,2021-07-15 16:32:29.000,1.6.3,26.0,agate,conda-forge/agate,,,,998.0,865.0,https://pypi.org/project/agate,2021-07-15 16:32:29.000,133.0,1754355.0,1755648.0,https://anaconda.org/conda-forge/agate,2021-07-16 07:46:42.405,80201.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n296,Keras-Preprocessing,keras-team/keras-preprocessing,tensorflow-utils,,https://github.com/keras-team/keras-preprocessing,https://github.com/keras-team/keras-preprocessing,MIT,2018-05-30 22:43:36.000,2022-02-17 22:38:16.000000,2022-02-17 22:38:15,288.0,4.0,439,44.0,176.0,93.0,102.0,1018,\"Utilities for working with image data, text data, and sequence data.\",52.0,30,True,2020-05-14 03:53:47.000,1.1.2,12.0,keras-preprocessing,conda-forge/keras-preprocessing,,,['tensorflow'],1481.0,,https://pypi.org/project/keras-preprocessing,2020-05-14 03:53:47.000,1481.0,8948971.0,8976328.0,https://anaconda.org/conda-forge/keras-preprocessing,2021-01-15 12:28:58.923,1258438.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n297,kmodes,nicodv/kmodes,others,,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40.000,2022-04-15 01:12:43.970000,2022-04-14 21:20:28,513.0,41.0,370,54.0,34.0,14.0,129.0,1002,\"Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data.\",21.0,30,True,2022-04-14 21:25:10.000,0.12.1,16.0,kmodes,conda-forge/kmodes,,,,1163.0,1137.0,https://pypi.org/project/kmodes,2022-04-14 21:22:39.000,26.0,330330.0,330645.0,https://anaconda.org/conda-forge/kmodes,2022-04-15 01:12:43.970,7573.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n298,ktrain,amaiya/ktrain,ml-frameworks,,https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39.000,2022-04-20 19:16:43.000000,2022-04-20 19:15:35,2726.0,157.0,242,31.0,33.0,1.0,404.0,979,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,14.0,30,True,2022-03-28 21:39:40.000,0.30.0,169.0,ktrain,,,,['tensorflow'],284.0,282.0,https://pypi.org/project/ktrain,2022-03-28 21:38:12.000,2.0,28503.0,28503.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n299,Satpy,pytroll/satpy,geospatial-data,,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000,2022-04-21 13:42:40.000000,2022-04-15 12:52:07,10033.0,471.0,233,31.0,1338.0,376.0,458.0,817,Python package for earth-observing satellite data processing.,122.0,30,False,2022-04-14 07:42:54.000,0.36.0,77.0,satpy,conda-forge/satpy,,,,76.0,65.0,https://pypi.org/project/satpy,2022-04-14 07:42:54.000,11.0,1898.0,3791.0,https://anaconda.org/conda-forge/satpy,2022-04-14 11:56:29.017,85191.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n300,adapter-transformers,Adapter-Hub/adapter-transformers,others,,https://github.com/Adapter-Hub/adapter-transformers,https://github.com/Adapter-Hub/adapter-transformers,Apache-2.0,2020-04-21 16:21:43.000,2022-04-20 15:54:14.000000,2022-04-20 15:54:14,9671.0,355.0,122,14.0,163.0,48.0,119.0,773,Huggingface Transformers + Adapters =.,1173.0,30,True,2022-03-23 19:47:37.000,adapters3.0.0,14.0,adapter-transformers,,,,['huggingface'],77.0,72.0,https://pypi.org/project/adapter-transformers,2022-03-23 19:47:02.000,5.0,54965.0,54965.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n301,data-validation,tensorflow/data-validation,data-viz,,https://github.com/tensorflow/data-validation,https://github.com/tensorflow/data-validation,Apache-2.0,2018-07-02 15:47:02.000,2022-04-20 23:25:57.000000,2022-04-20 23:25:56,757.0,44.0,119,46.0,66.0,37.0,119.0,625,Library for exploring and validating machine learning data.,24.0,30,True,2022-03-02 20:48:55.000,1.7.0,37.0,tensorflow-data-validation,,,,\"['tensorflow', 'jupyter']\",483.0,456.0,https://pypi.org/project/tensorflow-data-validation,2022-03-02 21:00:34.000,27.0,1208705.0,1208711.0,,,,,,,,3.0,299.0,,,,,,,,,,,,,,,,,,,\n302,Cython BLIS,explosion/cython-blis,others,,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16.000,2022-04-11 11:43:17.000000,2022-03-22 09:52:20,537.0,5.0,32,11.0,40.0,6.0,23.0,185,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,11.0,30,False,2022-03-22 16:47:22.000,0.7.7,38.0,blis,conda-forge/cython-blis,,,,17749.0,17523.0,https://pypi.org/project/blis,2022-03-22 15:57:51.000,226.0,3917957.0,3955767.0,https://anaconda.org/conda-forge/cython-blis,2022-04-11 10:14:45.147,1399003.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n303,baselines,openai/baselines,reinforcement-learning,,https://github.com/openai/baselines,https://github.com/openai/baselines,MIT,2017-05-24 01:58:13.000,2021-12-03 07:10:56.000000,2020-01-31 13:06:18,347.0,,4144,585.0,367.0,472.0,431.0,12522,OpenAI Baselines: high-quality implementations of reinforcement learning algorithms.,114.0,29,False,2018-02-26 17:07:07.000,0.1.5,6.0,baselines,,,,,426.0,387.0,https://pypi.org/project/baselines,2018-02-26 17:07:07.000,39.0,1325.0,1325.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n304,Dopamine,google/dopamine,reinforcement-learning,,https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36.000,2022-04-19 23:31:32.000000,2022-04-19 23:31:31,292.0,10.0,1301,446.0,40.0,80.0,83.0,9774,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,14.0,29,True,2021-12-13 23:17:39.000,4.0.2,42.0,dopamine-rl,,,,['tensorflow'],37.0,,https://pypi.org/project/dopamine-rl,2021-12-13 23:17:39.000,37.0,41434.0,41434.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n305,vit-pytorch,lucidrains/vit-pytorch,image,,https://github.com/lucidrains/vit-pytorch,https://github.com/lucidrains/vit-pytorch,MIT,2020-10-03 22:47:24.000,2022-04-07 05:15:05.000000,2022-04-07 05:15:05,241.0,25.0,1562,112.0,30.0,84.0,96.0,9535,\"Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single..\",15.0,29,True,2022-04-06 23:43:24.000,0.33.2,132.0,vit-pytorch,,,,['pytorch'],96.0,94.0,https://pypi.org/project/vit-pytorch,2022-04-06 23:43:50.000,2.0,22003.0,22003.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n306,backtrader,mementum/backtrader,financial-data,,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52.000,2022-03-21 17:25:14.000000,2021-07-17 22:17:12,2385.0,,2654,545.0,197.0,42.0,,8566,Python Backtesting library for trading strategies.,52.0,29,False,,,155.0,backtrader,,,,,1049.0,1000.0,https://pypi.org/project/backtrader,2020-07-03 13:02:14.000,49.0,14914.0,14914.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n307,TensorLayer,tensorlayer/tensorlayer,reinforcement-learning,,https://github.com/tensorlayer/TensorLayer,https://github.com/tensorlayer/TensorLayer,Apache-2.0,2016-06-07 15:55:16.000,2022-02-15 02:05:47.000000,2021-10-29 08:29:08,3350.0,,1536,463.0,697.0,28.0,439.0,6980,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,132.0,29,True,2022-02-15 02:05:47.000,2.2.5,83.0,tensorlayer,,,,['tensorflow'],40.0,,https://pypi.org/project/tensorlayer,2022-02-15 02:05:47.000,40.0,2665.0,2685.0,,,,,,,,2.0,1375.0,,,,,,,,,,,,,,,,,,,\n308,tsfresh,blue-yonder/tsfresh,time-series-data,,https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17.000,2021-12-21 18:56:28.651000,2021-12-21 03:31:43,507.0,,966,152.0,403.0,41.0,439.0,6347,Automatic extraction of relevant features from time series:.,82.0,29,True,2021-12-21 03:37:03.000,0.19.0,27.0,tsfresh,conda-forge/tsfresh,,,['sklearn'],55.0,,https://pypi.org/project/tsfresh,2021-12-21 03:37:03.000,55.0,356856.0,359551.0,https://anaconda.org/conda-forge/tsfresh,2021-12-21 18:56:28.651,142865.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n309,OCRmyPDF,ocrmypdf/OCRmyPDF,ocr,,https://github.com/ocrmypdf/OCRmyPDF,https://github.com/ocrmypdf/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000,2022-04-15 10:56:54.632000,2022-04-15 03:19:31,3187.0,41.0,562,122.0,104.0,93.0,752.0,6230,\"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.\",64.0,29,True,2022-04-15 03:55:44.000,13.4.3,195.0,ocrmypdf,conda-forge/ocrmypdf,,,,12.0,,https://pypi.org/project/ocrmypdf,2022-04-15 03:55:44.000,12.0,25725.0,26403.0,https://anaconda.org/conda-forge/ocrmypdf,2022-04-15 10:56:54.632,9502.0,,,,,2.0,,,,,,,,,,ocrmypdf,ocrmypdf,,,,,,,,,\n310,CleverHans,cleverhans-lab/cleverhans,adversarial,,https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04.000,2022-01-23 02:08:30.000000,2021-09-23 22:14:27,3201.0,,1321,190.0,780.0,25.0,422.0,5475,\"An adversarial example library for constructing attacks, building defenses, and benchmarking both.\",128.0,29,True,2021-07-24 08:53:21.000,4.0.0,8.0,cleverhans,conda-forge/cleverhans,,,['tensorflow'],323.0,312.0,https://pypi.org/project/cleverhans,2021-07-24 08:53:21.000,11.0,1663.0,1790.0,https://anaconda.org/conda-forge/cleverhans,2021-07-29 12:49:41.903,2806.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n311,Coqui TTS,coqui-ai/TTS,audio,,https://github.com/coqui-ai/TTS,https://github.com/coqui-ai/TTS,MPL-2.0,2020-05-20 15:45:28.000,2022-04-21 13:04:17.000000,2022-04-20 09:46:26,4041.0,264.0,464,94.0,250.0,27.0,285.0,4567,\"- a deep learning toolkit for Text-to-Speech, battle-tested in research and production.\",85.0,29,True,2022-04-20 09:48:23.000,0.6.2,28.0,tts,conda-forge/tts,,,\"['pytorch', 'tensorflow']\",,,https://pypi.org/project/tts,2017-07-14 20:02:42.000,,4764.0,14432.0,https://anaconda.org/conda-forge/tts,2021-12-15 19:29:56.367,1360.0,,,,,2.0,122751.0,,,,,,,,,,,,,,,,,,,\n312,haystack,deepset-ai/haystack,nlp,,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000,2022-04-21 14:59:30.000000,2022-04-21 09:24:39,1202.0,190.0,720,80.0,1076.0,191.0,1091.0,4525,Haystack is an open source NLP framework that leverages Transformer models. It enables developers to implement..,110.0,29,True,2022-03-23 16:46:14.000,1.3.0,35.0,haystack,,,,,85.0,,https://pypi.org/project/haystack,2021-12-15 14:01:39.322,85.0,889.0,889.0,,,,,,,,2.0,9.0,,,,,,,,,,,,,,,,,,,\n313,pyfolio,quantopian/pyfolio,financial-data,,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39.000,2021-12-26 17:08:51.000000,2020-07-15 13:46:58,1184.0,,1346,306.0,290.0,134.0,265.0,4351,Portfolio and risk analytics in Python.,56.0,29,False,2019-04-15 15:00:21.000,0.9.2,22.0,pyfolio,conda-forge/pyfolio,,,,428.0,396.0,https://pypi.org/project/pyfolio,2019-04-15 15:00:21.000,32.0,5550.0,5715.0,https://anaconda.org/conda-forge/pyfolio,2020-05-16 14:11:57.267,8298.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n314,lightfm,lyst/lightfm,recommender-systems,,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00.000,2022-03-14 22:25:39.000000,2022-03-09 16:54:36,461.0,21.0,616,95.0,197.0,97.0,346.0,3992,\"A Python implementation of LightFM, a hybrid recommendation algorithm.\",44.0,29,True,2020-11-27 19:48:30.000,1.16,14.0,lightfm,conda-forge/lightfm,,,,753.0,708.0,https://pypi.org/project/lightfm,2020-11-27 19:55:08.000,45.0,375889.0,378171.0,https://anaconda.org/conda-forge/lightfm,2022-03-09 22:21:56.668,116421.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n315,Darts,unit8co/darts,time-series-data,,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000,2022-04-21 14:25:25.000000,2022-04-13 19:15:26,756.0,64.0,387,40.0,498.0,154.0,275.0,3929,A python library for easy manipulation and forecasting of time series.,50.0,29,True,2022-04-13 19:19:27.000,0.19.0,29.0,u8darts,conda-forge/u8darts-all,unit8/darts,,,52.0,50.0,https://pypi.org/project/u8darts,2022-04-13 19:19:27.000,2.0,6070.0,6437.0,https://anaconda.org/conda-forge/u8darts-all,2022-04-14 09:14:30.260,3243.0,https://hub.docker.com/r/unit8/darts,2022-04-13 19:39:52.387591,,327.0,2.0,,,,,,,,,,,,,,,,,,,,\n316,Lasagne,Lasagne/Lasagne,ml-frameworks,,https://github.com/Lasagne/Lasagne,https://github.com/Lasagne/Lasagne,MIT,2014-09-11 15:31:41.000,2022-03-26 02:58:32.000000,2019-11-20 20:28:30,1161.0,,977,215.0,408.0,139.0,402.0,3813,Lightweight library to build and train neural networks in Theano.,72.0,29,False,2015-08-13 21:00:09.000,0.1,2.0,lasagne,,,,,1166.0,905.0,https://pypi.org/project/lasagne,2021-12-15 16:05:43.118,261.0,3784.0,3784.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n317,ArrayFire,arrayfire/arrayfire,gpu-utilities,,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000,2022-04-20 03:23:57.000000,2022-04-20 03:23:57,5817.0,41.0,492,153.0,1733.0,232.0,1277.0,3797,ArrayFire: a general purpose GPU library.,81.0,29,True,2022-02-22 21:42:15.000,3.8.0,31.0,arrayfire,,,,,5.0,,https://pypi.org/project/arrayfire,2022-02-22 21:42:15.000,5.0,2364.0,2390.0,,,,,,,,2.0,2201.0,,,,,,,,,,,,,,,,,,,\n318,DoWhy,Microsoft/dowhy,interpretability,,https://github.com/microsoft/dowhy,https://github.com/microsoft/dowhy,MIT,2018-05-31 13:07:04.000,2022-04-20 10:10:29.000000,2022-03-20 14:15:15,493.0,16.0,596,120.0,212.0,50.0,142.0,3776,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,48.0,29,True,2022-03-20 14:18:18.000,0.7.1,8.0,dowhy,conda-forge/dowhy,,,,101.0,97.0,https://pypi.org/project/dowhy,2022-03-20 14:18:18.000,4.0,111234.0,111451.0,https://anaconda.org/conda-forge/dowhy,2022-03-21 02:41:13.248,4996.0,,,,,2.0,27.0,,,,,,,,,,,,,,,,,,,\n319,nlpaug,makcedward/nlpaug,nlp,,https://github.com/makcedward/nlpaug,https://github.com/makcedward/nlpaug,MIT,2019-03-21 03:00:17.000,2022-04-03 20:17:30.000000,2022-04-03 20:16:49,722.0,12.0,355,37.0,112.0,32.0,143.0,3163,Data augmentation for NLP.,30.0,29,True,2021-12-25 02:49:58.000,1.1.10,36.0,nlpaug,conda-forge/nlpaug,,,,319.0,305.0,https://pypi.org/project/nlpaug,2021-12-23 17:35:56.000,14.0,55792.0,55946.0,https://anaconda.org/conda-forge/nlpaug,2021-12-25 16:31:39.772,1549.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n320,causalml,uber/causalml,others,,https://github.com/uber/causalml,https://github.com/uber/causalml,Apache-2.0,2019-07-09 02:08:58.000,2022-04-12 22:10:16.000000,2022-04-12 22:10:16,456.0,34.0,463,71.0,223.0,45.0,208.0,2944,Uplift modeling and causal inference with machine learning algorithms.,39.0,29,True,2022-03-14 23:38:27.000,0.12.3,19.0,causalml,,,,,44.0,43.0,https://pypi.org/project/causalml,2022-03-14 23:38:27.000,1.0,47517.0,47517.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n321,pomegranate,jmschrei/pomegranate,probabilistics,,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000,2022-03-14 08:23:01.000000,2022-02-21 05:08:38,933.0,3.0,518,102.0,315.0,59.0,610.0,2880,\"Fast, flexible and easy to use probabilistic modelling in Python.\",65.0,29,True,2021-11-19 21:46:05.000,0.14.7,68.0,pomegranate,conda-forge/pomegranate,,,,721.0,675.0,https://pypi.org/project/pomegranate,2022-02-21 06:50:33.000,46.0,32601.0,35112.0,https://anaconda.org/conda-forge/pomegranate,2021-11-16 01:22:35.020,82867.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n322,gpustat,wookayin/gpustat,gpu-utilities,,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43.000,2022-04-16 07:37:21.000000,2021-08-13 10:24:05,170.0,,218,41.0,39.0,22.0,59.0,2818,A simple command-line utility for querying and monitoring GPU status.,12.0,29,True,2019-07-22 06:37:00.000,0.6.0,11.0,gpustat,conda-forge/gpustat,,,,1892.0,1793.0,https://pypi.org/project/gpustat,2021-01-02 05:59:41.000,99.0,536135.0,539655.0,https://anaconda.org/conda-forge/gpustat,2020-11-24 19:59:04.772,130265.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n323,cuML,rapidsai/cuml,gpu-utilities,,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000,2022-04-21 13:18:33.000000,2022-04-13 21:32:03,14770.0,120.0,394,71.0,2718.0,656.0,1338.0,2690,cuML - RAPIDS Machine Learning Library.,150.0,29,True,2022-04-06 17:07:52.000,22.04.00,21.0,cuml,,,,,3.0,,https://pypi.org/project/cuml,2020-06-01 20:09:10.000,3.0,674.0,674.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n324,Acme,deepmind/acme,reinforcement-learning,,https://github.com/deepmind/acme,https://github.com/deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000,2022-04-20 16:24:00.000000,2022-04-20 16:23:19,832.0,140.0,317,71.0,39.0,40.0,154.0,2603,A library of reinforcement learning components and agents.,65.0,29,True,2022-02-10 06:52:01.000,0.4.0,15.0,dm-acme,conda-forge/dm-acme,,,['tensorflow'],73.0,71.0,https://pypi.org/project/dm-acme,2022-02-10 06:52:27.000,2.0,5467.0,5591.0,https://anaconda.org/conda-forge/dm-acme,2021-12-09 14:52:24.765,2109.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n325,sklearn-pandas,scikit-learn-contrib/sklearn-pandas,data-containers,,https://github.com/scikit-learn-contrib/sklearn-pandas,https://github.com/scikit-learn-contrib/sklearn-pandas,Zlib,2013-04-22 22:55:20.000,2022-03-04 06:04:58.000000,2021-05-08 08:05:59,287.0,,410,95.0,104.0,31.0,127.0,2583,Pandas integration with sklearn.,37.0,29,False,2021-05-08 08:32:08.000,2.1.0,27.0,sklearn-pandas,conda-forge/sklearn-pandas,,,\"['sklearn', 'pandas']\",4011.0,3861.0,https://pypi.org/project/sklearn-pandas,2021-05-08 08:14:28.000,150.0,403261.0,403924.0,https://anaconda.org/conda-forge/sklearn-pandas,2021-05-08 14:16:36.778,11273.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n326,pygal,Kozea/pygal,graph,,https://github.com/Kozea/pygal,https://github.com/Kozea/pygal,LGPL-3.0,2011-09-23 10:17:50.000,2022-03-03 16:14:41.000000,2021-11-24 21:04:02,1018.0,,391,136.0,127.0,177.0,244.0,2459,PYthon svg GrAph plotting Library.,71.0,29,False,2021-11-24 21:07:22.000,3.0.0,75.0,pygal,conda-forge/pygal,,,,628.0,,https://pypi.org/project/pygal,2021-11-24 21:07:22.000,628.0,121082.0,121431.0,https://anaconda.org/conda-forge/pygal,2019-06-04 02:55:56.728,11896.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n327,ImageHash,JohannesBuchner/imagehash,image,,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48.000,2022-01-04 14:27:58.000000,2021-09-07 19:15:32,209.0,,295,66.0,52.0,13.0,94.0,2338,A Python Perceptual Image Hashing Module.,20.0,29,True,2021-07-15 12:35:01.000,4.2.1,18.0,ImageHash,conda-forge/imagehash,,,,5124.0,4809.0,https://pypi.org/project/ImageHash,2021-07-15 12:35:01.000,315.0,1231462.0,1234114.0,https://anaconda.org/conda-forge/imagehash,2021-07-15 15:00:27.543,172416.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n328,ploomber,ploomber/ploomber,data-pipelines,,https://github.com/ploomber/ploomber,https://github.com/ploomber/ploomber,Apache-2.0,2020-01-20 20:13:06.000,2022-04-21 13:07:34.000000,2022-04-18 22:29:32,2562.0,257.0,138,23.0,90.0,172.0,462.0,2308,\"The fastest way to build data pipelines. Develop iteratively, deploy anywhere.\",40.0,29,True,2022-03-31 14:09:40.000,0.17.2,84.0,ploomber,conda-forge/ploomber,,,,41.0,37.0,https://pypi.org/project/ploomber,2022-04-16 19:19:35.000,4.0,5070.0,5645.0,https://anaconda.org/conda-forge/ploomber,2022-04-16 22:51:50.076,5758.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n329,STUMPY,TDAmeritrade/stumpy,time-series-data,,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000,2022-04-18 01:08:10.000000,2022-04-15 14:50:26,1083.0,115.0,218,49.0,114.0,30.0,276.0,2255,STUMPY is a powerful and scalable Python library for modern time series analysis.,29.0,29,True,2022-03-31 21:23:48.000,1.11.1,27.0,stumpy,conda-forge/stumpy,,,,4.0,,https://pypi.org/project/stumpy,2022-03-31 21:23:48.000,4.0,282679.0,283743.0,https://anaconda.org/conda-forge/stumpy,2022-03-31 21:30:16.208,37251.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n330,pytorch-forecasting,jdb78/pytorch-forecasting,time-series-data,,https://github.com/jdb78/pytorch-forecasting,https://github.com/jdb78/pytorch-forecasting,MIT,2020-07-03 13:05:24.000,2022-04-20 19:58:26.000000,2022-04-20 19:58:18,1278.0,126.0,299,31.0,516.0,201.0,245.0,1886,Time series forecasting with PyTorch.,29.0,29,True,2022-03-24 21:27:35.000,0.10.1,31.0,pytorch-forecasting,conda-forge/pytorch-forecasting,,,,4.0,,https://pypi.org/project/pytorch-forecasting,2022-03-24 21:27:35.000,4.0,46496.0,47423.0,https://anaconda.org/conda-forge/pytorch-forecasting,2022-03-24 23:01:40.805,17617.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n331,datasketch,ekzhu/datasketch,data-containers,,https://github.com/ekzhu/datasketch,https://github.com/ekzhu/datasketch,MIT,2015-03-20 01:21:46.000,2022-03-02 13:02:41.000000,2022-02-04 08:52:34,205.0,2.0,234,51.0,49.0,31.0,102.0,1696,\"MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble.\",21.0,29,True,2022-02-04 09:05:43.000,1.5.7,79.0,datasketch,,,,,429.0,375.0,https://pypi.org/project/datasketch,2022-02-04 09:04:49.000,54.0,493834.0,493834.0,,,,,,,,3.0,19.0,,,,,,,,,,,,,,,,,,,\n332,Talos,autonomio/talos,hyperopt,,https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41.000,2022-04-17 19:37:22.000000,2022-04-16 16:55:57,626.0,67.0,252,28.0,181.0,35.0,372.0,1512,\"Hyperparameter Optimization for TensorFlow, Keras and PyTorch.\",22.0,29,True,2022-04-15 14:37:02.000,1.2.3,16.0,talos,,,,['tensorflow'],150.0,144.0,https://pypi.org/project/talos,2022-04-15 14:37:25.000,6.0,1595.0,1595.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n333,datatable,h2oai/datatable,data-containers,,https://github.com/h2oai/datatable,https://github.com/h2oai/datatable,MPL-2.0,2017-03-03 02:32:59.000,2022-04-21 06:28:31.000000,2022-04-21 06:17:19,2135.0,21.0,131,99.0,1819.0,140.0,1263.0,1487,A Python package for manipulating 2-dimensional tabular data structures.,33.0,29,True,2021-07-02 00:15:35.000,1.0.0,16.0,datatable,conda-forge/datatable,,,,12.0,,https://pypi.org/project/datatable,2021-07-01 23:36:34.000,12.0,121437.0,122240.0,https://anaconda.org/conda-forge/datatable,2020-12-23 12:48:44.694,12461.0,,,,,3.0,1451.0,,,,,,,,,,,,,,,,,,,\n334,lightning-flash,PyTorchLightning/lightning-flash,pytorch-utils,,https://github.com/PyTorchLightning/lightning-flash,https://github.com/PyTorchLightning/lightning-flash,Apache-2.0,2021-01-28 18:47:16.000,2022-04-19 19:49:35.000000,2022-04-19 19:49:34,884.0,100.0,159,35.0,804.0,43.0,413.0,1437,Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7..,69.0,29,True,2022-04-13 17:47:42.000,0.7.3,33.0,lightning-flash,conda-forge/lightning-flash,,,['pytorch'],63.0,61.0,https://pypi.org/project/lightning-flash,2022-04-13 17:47:42.000,2.0,3657.0,3802.0,https://anaconda.org/conda-forge/lightning-flash,2022-04-14 05:59:20.825,1166.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n335,ViZDoom,mwydmuch/ViZDoom,reinforcement-learning,,https://github.com/mwydmuch/ViZDoom,https://github.com/mwydmuch/ViZDoom,MIT,2015-06-26 18:38:23.000,2022-04-18 01:40:02.000000,2022-04-17 23:08:45,1545.0,16.0,322,51.0,73.0,89.0,346.0,1352,Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information.,47.0,29,True,2022-04-18 01:40:02.000,1.1.13,24.0,vizdoom,,,,,147.0,133.0,https://pypi.org/project/vizdoom,2022-04-18 01:07:39.000,14.0,1420.0,1577.0,,,,,,,,2.0,11494.0,,,,,,,,,,,,,,,,,,,\n336,TF Recommenders,tensorflow/recommenders,recommender-systems,,https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01.000,2022-03-30 01:50:37.000000,2022-03-30 01:50:32,303.0,16.0,180,47.0,232.0,133.0,118.0,1283,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,32.0,29,True,2021-08-23 23:29:59.000,0.6.0,12.0,tensorflow-recommenders,,,,['tensorflow'],100.0,99.0,https://pypi.org/project/tensorflow-recommenders,2021-08-23 23:29:59.000,1.0,897836.0,897836.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n337,ArcGIS API,Esri/arcgis-python-api,geospatial-data,,https://github.com/Esri/arcgis-python-api,https://github.com/Esri/arcgis-python-api,Apache-2.0,2016-03-16 01:09:14.000,2022-04-15 17:29:38.000000,2022-04-04 05:26:58,3422.0,35.0,877,138.0,809.0,123.0,377.0,1279,Documentation and samples for ArcGIS API for Python.,78.0,29,True,2022-02-02 00:09:26.000,2.0.0,32.0,arcgis,,esridocker/arcgis-api-python-notebook,,,22.0,,https://pypi.org/project/arcgis,2022-02-03 03:33:19.000,22.0,45320.0,45457.0,,,,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,2022-02-04 23:58:53.044266,33.0,6920.0,3.0,2918.0,,,,,,,,,,,,,,,,,,,\n338,pandera,pandera-dev/pandera,data-containers,,https://github.com/pandera-dev/pandera,https://github.com/pandera-dev/pandera,MIT,2018-11-01 02:18:34.000,2022-04-21 14:33:50.000000,2022-04-19 01:58:39,420.0,27.0,95,12.0,385.0,96.0,299.0,1247,\"A light-weight, flexible, and expressive data validation library for dataframes.\",53.0,29,True,2022-04-04 04:33:22.000,0.10.1,44.0,pandera,conda-forge/pandera-core,,,['pandas'],228.0,206.0,https://pypi.org/project/pandera,2022-04-04 04:33:22.000,22.0,382709.0,383067.0,https://anaconda.org/conda-forge/pandera-core,2022-04-04 19:49:06.398,6453.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n339,TabPy,tableau/TabPy,others,,https://github.com/tableau/TabPy,https://github.com/tableau/TabPy,MIT,2016-09-27 21:26:03.000,2022-03-31 18:13:46.000000,2022-03-31 18:13:34,887.0,12.0,456,113.0,246.0,10.0,281.0,1224,Execute Python code on the fly and display results in Tableau visualizations:.,46.0,29,True,2022-01-20 22:19:32.000,2.5.0,26.0,tabpy,anaconda/tabpy-client,,,,87.0,85.0,https://pypi.org/project/tabpy,2022-01-20 22:19:32.000,2.0,19369.0,19411.0,https://anaconda.org/anaconda/tabpy-client,2022-03-05 07:03:47.824,2557.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n340,pingouin,raphaelvallat/pingouin,probabilistics,,https://github.com/raphaelvallat/pingouin,https://github.com/raphaelvallat/pingouin,GPL-3.0,2018-04-01 01:10:22.000,2022-04-15 22:47:36.000000,2022-04-12 21:01:52,1181.0,21.0,95,22.0,54.0,31.0,174.0,1031,Statistical package in Python based on Pandas.,31.0,29,False,2022-02-20 17:08:26.000,0.5.1,36.0,pingouin,conda-forge/pingouin,,,,556.0,531.0,https://pypi.org/project/pingouin,2021-10-28 21:59:14.000,25.0,99820.0,101159.0,https://anaconda.org/conda-forge/pingouin,2022-02-20 19:06:42.211,53575.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n341,arch,bashtage/arch,financial-data,,https://github.com/bashtage/arch,https://github.com/bashtage/arch,NCSA,2014-08-29 15:41:28.000,2022-04-06 15:05:45.000000,2022-04-06 15:00:43,932.0,26.0,204,42.0,403.0,16.0,156.0,901,ARCH models in Python.,30.0,29,False,2022-03-31 08:43:03.000,5.2.0,36.0,arch,conda-forge/arch-py,,,,565.0,519.0,https://pypi.org/project/arch,2022-03-31 08:43:03.000,46.0,118814.0,122526.0,https://anaconda.org/conda-forge/arch-py,2022-04-01 07:47:50.740,107672.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n342,patsy,pydata/patsy,probabilistics,,https://github.com/pydata/patsy,https://github.com/pydata/patsy,BSD-2-Clause,2012-07-10 12:30:06.000,2021-09-26 16:29:44.000000,2021-09-26 16:29:39,539.0,,94,29.0,52.0,73.0,68.0,819,Describing statistical models in Python using symbolic formulas.,16.0,29,True,2021-09-27 02:10:26.000,0.5.2,9.0,patsy,conda-forge/patsy,,,,53003.0,50357.0,https://pypi.org/project/patsy,2021-09-26 05:26:37.000,2646.0,6402073.0,6468421.0,https://anaconda.org/conda-forge/patsy,2021-09-26 14:43:31.594,4511677.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n343,CLTK,cltk/cltk,nlp,,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000,2022-04-11 23:04:41.000000,2022-04-05 04:44:41,3615.0,19.0,307,66.0,644.0,26.0,494.0,717,The Classical Language Toolkit.,114.0,29,True,2022-04-05 04:47:51.000,1.0.25,195.0,cltk,,,,,239.0,197.0,https://pypi.org/project/cltk,2022-04-05 04:47:51.000,42.0,2004.0,2004.0,,,,,,,,2.0,25.0,,,,,,,,,,,,,,,,,,,\n344,geojson,jazzband/geojson,geospatial-data,,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48.000,2022-04-14 10:49:04.000000,2022-01-03 20:57:51,456.0,,90,29.0,99.0,22.0,59.0,706,Python bindings and utilities for GeoJSON.,46.0,29,True,2019-08-09 20:32:15.000,2.5.0,28.0,geojson,conda-forge/geojson,,,,10217.0,9099.0,https://pypi.org/project/geojson,2019-08-09 20:32:15.000,1118.0,910960.0,917733.0,https://anaconda.org/conda-forge/geojson,2019-08-11 12:10:34.426,494455.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n345,SALib,SALib/SALib,probabilistics,,https://github.com/SALib/SALib,https://github.com/SALib/SALib,MIT,2013-05-30 13:38:10.000,2022-04-19 07:18:49.000000,2022-04-19 07:18:49,1527.0,11.0,180,21.0,239.0,46.0,228.0,585,\"Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.\",36.0,29,True,2021-09-04 09:49:51.000,1.4.5,41.0,salib,conda-forge/salib,,,,58.0,,https://pypi.org/project/salib,2022-02-06 04:55:37.000,58.0,133147.0,134353.0,https://anaconda.org/conda-forge/salib,2021-09-04 07:03:28.179,78400.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n346,TensorFlow I/O,tensorflow/io,tensorflow-utils,,https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05.000,2022-04-18 21:59:12.000000,2022-04-18 21:51:42,1565.0,29.0,216,39.0,1154.0,181.0,331.0,546,\"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.\",92.0,29,True,2022-02-04 22:19:51.000,0.24.0,31.0,tensorflow-io,,,,['tensorflow'],18.0,,https://pypi.org/project/tensorflow-io,2022-02-04 22:16:58.000,18.0,177306.0,177306.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n347,hvPlot,holoviz/hvplot,data-viz,,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000,2022-04-19 18:26:51.000000,2022-04-08 15:50:04,462.0,31.0,67,21.0,289.0,145.0,273.0,545,\"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.\",36.0,29,True,2021-07-26 16:25:50.000,0.7.3,40.0,hvplot,conda-forge/hvplot,,,,1238.0,1177.0,https://pypi.org/project/hvplot,2022-04-08 16:02:25.000,61.0,199929.0,203609.0,https://anaconda.org/conda-forge/hvplot,2021-07-23 14:04:28.244,161961.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n348,spleeter,deezer/spleeter,audio,,https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000,2022-04-01 09:36:16.000000,2022-04-01 09:36:15,481.0,7.0,2119,368.0,85.0,129.0,531.0,19364,Deezer source separation library including pretrained models.,19.0,28,True,2021-09-03 09:59:00.000,2.3.0,34.0,spleeter,conda-forge/spleeter,,,['tensorflow'],3.0,,https://pypi.org/project/spleeter,2021-09-03 09:55:50.000,3.0,12675.0,66741.0,https://anaconda.org/conda-forge/spleeter,2020-06-30 14:33:43.220,63066.0,,,,,2.0,1556774.0,,,,,,,,,,,,,,,,,,,\n349,pysc2,deepmind/pysc2,others,,https://github.com/deepmind/pysc2,https://github.com/deepmind/pysc2,Apache-2.0,2017-07-25 18:16:57.000,2022-01-29 13:11:26.000000,2019-09-27 15:23:22,513.0,,1135,366.0,74.0,67.0,205.0,7490,StarCraft II Learning Environment.,34.0,28,False,2019-09-27 15:48:01.000,3.0.0,7.0,pysc2,,,,,394.0,369.0,https://pypi.org/project/pysc2,2019-09-27 15:48:01.000,25.0,1703.0,2208.0,,,,,,,,2.0,28281.0,,,,,,,,,,,,,,,,,,,\n350,EfficientNet-PyTorch,lukemelas/EfficientNet-PyTorch,pytorch-utils,,https://github.com/lukemelas/EfficientNet-PyTorch,https://github.com/lukemelas/EfficientNet-PyTorch,Apache-2.0,2019-05-30 05:24:11.000,2022-04-08 12:30:25.000000,2021-04-15 15:16:36,162.0,,1377,130.0,51.0,136.0,138.0,6909,A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!).,24.0,28,True,2021-04-15 15:17:23.000,0.7.1,13.0,efficientnet-pytorch,,,,['pytorch'],30.0,,https://pypi.org/project/efficientnet-pytorch,2021-04-15 15:17:23.000,30.0,570768.0,627748.0,,,,,,,,2.0,1424517.0,,,,,,,,,,,,,,,,,,,\n351,MindsDB,mindsdb/mindsdb,ml-frameworks,,https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,GPL-3.0,2018-08-02 17:56:45.000,2022-04-21 13:35:42.000000,2022-04-20 12:43:49,5375.0,602.0,675,234.0,1196.0,77.0,858.0,6538,In-Database Machine Learning.,109.0,28,False,2022-04-14 13:36:51.000,22.4.3.0,100.0,mindsdb,,,,['pytorch'],4.0,,https://pypi.org/project/mindsdb,2019-03-19 05:07:23.000,4.0,3685.0,3685.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n352,PyText,facebookresearch/pytext,nlp,,https://github.com/facebookresearch/pytext,https://github.com/facebookresearch/pytext,BSD-3-Clause,2018-07-31 23:40:46.000,2022-04-20 23:56:15.000000,2022-04-19 17:11:54,1707.0,21.0,804,169.0,1583.0,145.0,74.0,6309,A natural language modeling framework based on PyTorch.,227.0,28,True,2020-06-08 23:30:58.000,0.3.3,13.0,pytext-nlp,,,,['pytorch'],109.0,108.0,https://pypi.org/project/pytext-nlp,2020-06-08 22:49:33.000,1.0,305.0,312.0,,,,,,,,2.0,292.0,,,,,,,,,,,,,,,,,,,\n353,NuPIC,numenta/nupic,ml-frameworks,,https://github.com/numenta/nupic,https://github.com/numenta/nupic,AGPL-3.0,2013-04-05 23:14:27.000,2021-03-25 21:39:47.000000,2019-10-23 20:45:07,6625.0,,1585,632.0,2110.0,456.0,1337.0,6300,\"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..\",121.0,28,False,2018-06-01 15:37:54.000,1.0.5,53.0,nupic,,,,,147.0,109.0,https://pypi.org/project/nupic,2018-06-01 15:37:54.000,38.0,1764.0,1764.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n354,Apex,NVIDIA/apex,gpu-utilities,,https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000,2022-04-20 22:31:45.000000,2022-04-20 18:25:25,985.0,75.0,935,97.0,402.0,538.0,410.0,6258,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,92.0,28,True,,,1.0,,conda-forge/nvidia-apex,,,['pytorch'],978.0,978.0,,,,,2638.0,https://anaconda.org/conda-forge/nvidia-apex,2022-04-06 03:11:02.383,79152.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n355,PyTorch3D,facebookresearch/pytorch3d,image,,https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,,2019-10-25 02:23:45.000,2022-04-14 23:38:51.000000,2022-04-14 23:37:07,723.0,73.0,856,137.0,103.0,82.0,917.0,5879,PyTorch3D is FAIRs library of reusable components for deep learning with 3D data.,86.0,28,False,2021-12-16 19:13:11.000,0.6.1,10.0,pytorch3d,pytorch3d/pytorch3d,,,['pytorch'],190.0,186.0,https://pypi.org/project/pytorch3d,2021-12-16 16:50:38.000,4.0,17000.0,18452.0,https://anaconda.org/pytorch3d/pytorch3d,2021-12-16 16:50:37.672,42124.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n356,scikit-surprise,NicolasHug/Surprise,recommender-systems,,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38.000,2022-02-02 21:13:06.000000,2020-08-05 17:45:59,622.0,,901,150.0,66.0,52.0,292.0,5327,A Python scikit for building and analyzing recommender systems.,38.0,28,False,2020-07-19 14:50:48.000,1.1.1,9.0,scikit-surprise,conda-forge/scikit-surprise,,,,26.0,,https://pypi.org/project/scikit-surprise,2020-07-19 14:50:48.000,26.0,136888.0,141173.0,https://anaconda.org/conda-forge/scikit-surprise,2021-11-18 20:15:44.176,218570.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n357,keras-rl,keras-rl/keras-rl,reinforcement-learning,,https://github.com/keras-rl/keras-rl,https://github.com/keras-rl/keras-rl,MIT,2016-07-02 15:53:12.000,2022-01-05 17:17:48.000000,2019-11-11 22:14:54,308.0,,1323,213.0,154.0,40.0,219.0,5248,Deep Reinforcement Learning for Keras.,40.0,28,False,2018-06-01 07:52:24.000,0.4.2,8.0,keras-rl,,,,['tensorflow'],627.0,574.0,https://pypi.org/project/keras-rl,2018-06-01 07:52:24.000,53.0,1567.0,1567.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n358,Edward,blei-lab/edward,probabilistics,,https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05.000,2019-10-22 20:30:48.000000,2018-07-25 01:28:08,1796.0,,767,279.0,437.0,212.0,328.0,4701,\"A probabilistic programming language in TensorFlow. Deep generative models, variational inference.\",87.0,28,False,2018-01-22 06:03:37.000,1.3.5,28.0,edward,,,,['tensorflow'],302.0,262.0,https://pypi.org/project/edward,2018-01-22 06:03:05.000,40.0,1992.0,1992.0,,,,,,,,3.0,15.0,,,,,,,,,,,,,,,,,,,\n359,kaggle,Kaggle/kaggle-api,ml-experiments,,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000,2022-03-10 00:54:38.000000,2021-03-15 15:49:05,145.0,,905,179.0,75.0,192.0,145.0,4676,Official Kaggle API.,36.0,28,False,2021-03-13 00:50:03.000,1.5.12,48.0,kaggle,conda-forge/kaggle,,,,324.0,,https://pypi.org/project/kaggle,2021-03-13 00:50:03.000,324.0,131318.0,133617.0,https://anaconda.org/conda-forge/kaggle,2021-12-17 19:19:11.878,80488.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n360,skorch,skorch-dev/skorch,ml-frameworks,,https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000,2022-04-18 11:03:55.000000,2022-04-16 12:18:02,984.0,9.0,302,82.0,422.0,52.0,380.0,4455,A scikit-learn compatible neural network library that wraps PyTorch.,49.0,28,True,2021-10-31 15:54:20.000,0.11.0,14.0,skorch,conda-forge/skorch,,,\"['pytorch', 'sklearn']\",521.0,488.0,https://pypi.org/project/skorch,2021-10-31 15:48:51.000,33.0,17574.0,29740.0,https://anaconda.org/conda-forge/skorch,2021-11-30 10:48:50.965,523142.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n361,triton,openai/triton,model-serialisation,,https://github.com/openai/triton,https://github.com/openai/triton,MIT,2014-08-30 17:07:16.000,2022-04-21 08:16:39.000000,2022-04-15 02:30:02,448.0,44.0,280,84.0,293.0,71.0,121.0,3579,Development repository for the Triton language and compiler.,38.0,28,True,2021-10-15 01:19:15.000,1.1.1,110.0,triton,,,,,97.0,94.0,https://pypi.org/project/triton,2022-04-15 00:13:56.000,3.0,34746.0,34746.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n362,vaderSentiment,cjhutto/vaderSentiment,nlp,,https://github.com/cjhutto/vaderSentiment,https://github.com/cjhutto/vaderSentiment,MIT,2014-11-17 16:31:45.000,2022-04-01 13:57:36.000000,2022-04-01 13:57:36,131.0,4.0,847,141.0,29.0,33.0,75.0,3548,VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based..,11.0,28,True,2020-05-22 15:07:00.000,3.3.2,15.0,vadersentiment,conda-forge/vadersentiment,,,,3887.0,3713.0,https://pypi.org/project/vadersentiment,2020-05-22 15:07:00.000,174.0,232278.0,232922.0,https://anaconda.org/conda-forge/vadersentiment,2021-03-22 07:41:03.629,8376.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n363,pytorch-summary,sksq96/pytorch-summary,pytorch-utils,,https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04.000,2022-03-19 02:15:45.000000,2021-05-10 18:34:53,57.0,,390,35.0,51.0,118.0,41.0,3487,Model summary in PyTorch similar to `model.summary()` in Keras.,11.0,28,True,2018-09-26 05:07:28.000,1.5.1,12.0,torchsummary,,,,['pytorch'],4859.0,4788.0,https://pypi.org/project/torchsummary,2018-09-26 05:07:28.000,71.0,94924.0,94924.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n364,SynapseML,microsoft/SynapseML,distributed-ml,,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000,2022-04-21 02:57:37.000000,2022-04-19 22:21:56,1104.0,78.0,638,133.0,949.0,231.0,323.0,3270,Simple and Distributed Machine Learning.,87.0,28,True,2022-01-12 22:50:41.000,0.9.5,23.0,synapseml,,,,,,,https://pypi.org/project/synapseml,2022-01-12 22:50:41.000,,12357.0,12357.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n365,Sumy,miso-belica/sumy,nlp,,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48.000,2022-04-10 18:04:39.000000,2022-04-09 16:07:53,407.0,4.0,462,114.0,72.0,15.0,85.0,2785,Module for automatic summarization of text documents and HTML pages.,21.0,28,True,2021-10-21 17:24:42.000,0.9.0,14.0,sumy,conda-forge/sumy,,,,1299.0,1198.0,https://pypi.org/project/sumy,2021-10-21 17:24:42.000,101.0,23188.0,23262.0,https://anaconda.org/conda-forge/sumy,2021-10-22 09:47:02.763,745.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n366,Porcupine,Picovoice/Porcupine,audio,,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000,2022-04-20 21:54:34.000000,2022-04-20 21:54:31,705.0,53.0,389,61.0,330.0,2.0,370.0,2698,On-device wake word detection powered by deep learning.,31.0,28,True,2022-03-11 18:18:10.000,2.1.2,27.0,pvporcupine,,,,,17.0,9.0,https://pypi.org/project/pvporcupine,2022-03-11 18:18:10.000,8.0,1153.0,1153.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n367,GluonTS,awslabs/gluon-ts,time-series-data,,https://github.com/awslabs/gluon-ts,https://github.com/awslabs/gluon-ts,Apache-2.0,2019-05-15 17:17:29.000,2022-04-20 12:44:22.000000,2022-04-20 12:44:01,871.0,38.0,543,67.0,1041.0,290.0,435.0,2633,Probabilistic time series modeling in Python.,85.0,28,True,2022-04-12 12:45:05.000,0.9.3,47.0,gluonts,anaconda/gluonts,,,['mxnet'],6.0,,https://pypi.org/project/gluonts,2022-04-12 12:45:05.000,6.0,78481.0,78481.0,https://anaconda.org/anaconda/gluonts,2021-10-14 12:53:07.201,5.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n368,neuralcoref,huggingface/neuralcoref,nlp,,https://github.com/huggingface/neuralcoref,https://github.com/huggingface/neuralcoref,MIT,2017-07-03 13:04:16.000,2022-03-11 12:17:58.000000,2021-06-22 10:51:48,116.0,,434,92.0,46.0,49.0,253.0,2521,Fast Coreference Resolution in spaCy with Neural Networks.,21.0,28,True,2019-04-08 11:28:27.000,4.0.0,5.0,neuralcoref,conda-forge/neuralcoref,,,,488.0,474.0,https://pypi.org/project/neuralcoref,2019-04-08 09:56:00.000,14.0,195213.0,195639.0,https://anaconda.org/conda-forge/neuralcoref,2020-02-21 22:10:40.453,10936.0,,,,,2.0,372.0,,,,,,,,,,,,,,,,,,,\n369,GluonNLP,dmlc/gluon-nlp,nlp,,https://github.com/dmlc/gluon-nlp,https://github.com/dmlc/gluon-nlp,Apache-2.0,2018-04-04 20:57:13.000,2022-04-21 09:46:13.000000,2021-08-24 19:11:38,840.0,,519,103.0,1039.0,260.0,296.0,2407,\"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..\",82.0,28,True,2020-08-13 19:17:42.000,0.10.0,26.0,gluonnlp,,,,['mxnet'],793.0,771.0,https://pypi.org/project/gluonnlp,2020-08-13 19:17:42.000,22.0,42432.0,42432.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n370,pytorch-optimizer,jettify/pytorch-optimizer,pytorch-utils,,https://github.com/jettify/pytorch-optimizer,https://github.com/jettify/pytorch-optimizer,Apache-2.0,2020-01-03 03:16:39.000,2022-04-04 10:09:42.000000,2021-11-11 16:56:57,430.0,,230,33.0,389.0,16.0,28.0,2389,torch-optimizer -- collection of optimizers for Pytorch.,25.0,28,True,2021-10-31 03:00:19.000,0.3.0,21.0,torch_optimizer,conda-forge/torch-optimizer,,,['pytorch'],569.0,546.0,https://pypi.org/project/torch_optimizer,2021-10-31 03:00:19.000,23.0,64170.0,64259.0,https://anaconda.org/conda-forge/torch-optimizer,2021-10-31 17:20:09.384,1070.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n371,pandas-ta,twopirllc/pandas-ta,probabilistics,,https://github.com/twopirllc/pandas-ta,https://github.com/twopirllc/pandas-ta,MIT,2019-02-19 16:41:09.000,2022-04-14 19:11:15.000000,2022-01-31 16:47:12,581.0,1.0,537,73.0,136.0,57.0,322.0,2368,Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators.,44.0,28,True,2021-07-28 20:21:21.000,0.3.14,19.0,pandas-ta,conda-forge/pandas-ta,,,['pandas'],599.0,589.0,https://pypi.org/project/pandas-ta,2021-07-28 20:51:17.000,10.0,76916.0,77008.0,https://anaconda.org/conda-forge/pandas-ta,2021-10-05 09:16:48.657,555.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n372,StellarGraph,stellargraph/stellargraph,graph,,https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51.000,2022-03-12 00:28:06.000000,2021-10-29 06:15:49,2535.0,,354,61.0,926.0,256.0,736.0,2352,StellarGraph - Machine Learning on Graphs.,36.0,28,True,2020-06-30 05:15:21.000,1.2.1,25.0,stellargraph,,,,['tensorflow'],132.0,129.0,https://pypi.org/project/stellargraph,2020-06-30 05:10:43.000,3.0,14866.0,14866.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n373,vidgear,abhiTronix/vidgear,image,,https://github.com/abhiTronix/vidgear,https://github.com/abhiTronix/vidgear,Apache-2.0,2019-03-17 02:42:42.000,2022-02-25 09:34:50.000000,2022-02-11 14:44:37,857.0,29.0,173,48.0,90.0,1.0,208.0,2186,A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features.,9.0,28,True,2022-02-11 16:12:12.000,0.2.5,17.0,vidgear,,,,,193.0,188.0,https://pypi.org/project/vidgear,2022-02-11 16:12:12.000,5.0,3843.0,3858.0,,,,,,,,3.0,566.0,,,,,,,,,,,,,,,,,,,\n374,Essentia,MTG/essentia,audio,,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000,2022-04-06 18:17:02.000000,2022-04-06 18:17:01,3122.0,69.0,449,110.0,302.0,362.0,599.0,2095,\"C++ library for audio and music analysis, description and synthesis, including Python bindings.\",74.0,28,False,2015-03-31 16:33:30.000,2.0,13.0,essentia,,,,,296.0,282.0,https://pypi.org/project/essentia,2022-03-14 12:38:50.000,14.0,3523.0,3523.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n375,dtreeviz,parrt/dtreeviz,interpretability,,https://github.com/parrt/dtreeviz,https://github.com/parrt/dtreeviz,MIT,2018-08-13 21:45:15.000,2022-03-10 23:08:17.823000,2022-03-10 19:54:06,382.0,8.0,264,47.0,61.0,25.0,98.0,2072,A python library for decision tree visualization and model interpretation.,18.0,28,True,2022-03-10 19:55:49.000,1.3.5,28.0,dtreeviz,conda-forge/dtreeviz,,,,370.0,356.0,https://pypi.org/project/dtreeviz,2022-03-10 19:54:30.000,14.0,90644.0,91185.0,https://anaconda.org/conda-forge/dtreeviz,2022-03-10 23:08:17.823,9197.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n376,swifter,jmcarpenter2/swifter,data-containers,,https://github.com/jmcarpenter2/swifter,https://github.com/jmcarpenter2/swifter,MIT,2018-04-07 21:37:19.000,2022-04-13 17:33:31.512000,2022-04-13 00:28:01,444.0,17.0,91,27.0,68.0,23.0,89.0,1962,A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner.,15.0,28,True,2022-04-13 00:29:00.000,1.1.3,76.0,swifter,conda-forge/swifter,,,['pandas'],578.0,550.0,https://pypi.org/project/swifter,2022-04-13 00:29:00.000,28.0,138643.0,142264.0,https://anaconda.org/conda-forge/swifter,2022-04-13 17:33:31.512,130362.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n377,textacy,chartbeat-labs/textacy,nlp,,https://github.com/chartbeat-labs/textacy,https://github.com/chartbeat-labs/textacy,Apache-2.0,2016-02-03 16:52:45.000,2022-03-06 19:51:43.000000,2022-03-06 19:51:43,1716.0,2.0,232,89.0,109.0,28.0,222.0,1913,\"NLP, before and after spaCy.\",32.0,28,True,2021-12-06 15:00:07.000,0.12.0,31.0,textacy,conda-forge/textacy,,,,100.0,,https://pypi.org/project/textacy,2021-12-06 15:00:07.000,100.0,42304.0,44070.0,https://anaconda.org/conda-forge/textacy,2022-02-06 16:50:51.205,104227.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n378,mljar-supervised,mljar/mljar-supervised,hyperopt,,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000,2022-04-14 13:02:48.000000,2022-04-14 13:02:48,1005.0,22.0,267,34.0,47.0,81.0,392.0,1870,\"Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and..\",17.0,28,True,2022-03-02 09:23:54.000,0.11.2,76.0,mljar-supervised,conda-forge/mljar-supervised,,,,45.0,43.0,https://pypi.org/project/mljar-supervised,2022-03-02 09:17:15.000,2.0,12211.0,12347.0,https://anaconda.org/conda-forge/mljar-supervised,2022-03-02 09:53:48.925,1362.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n379,Pillow-SIMD,uploadcare/pillow-simd,image,,https://github.com/uploadcare/pillow-simd,https://github.com/uploadcare/pillow-simd,PIL,2014-11-12 15:33:02.000,2022-03-11 12:26:19.000000,2022-01-17 10:12:52,12562.0,,77,41.0,43.0,9.0,65.0,1788,The friendly PIL fork.,384.0,28,False,2022-01-02 09:51:23.000,9.0.0,47.0,pillow-simd,,,,,49.0,,https://pypi.org/project/pillow-simd,2022-01-04 16:11:51.000,49.0,50566.0,50566.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n380,PyTextRank,DerwenAI/pytextrank,nlp,,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000,2022-03-23 15:44:04.000000,2022-03-07 19:11:16,438.0,31.0,323,61.0,129.0,23.0,61.0,1781,Python implementation of TextRank algorithms (textgraphs) for phrase extraction.,18.0,28,True,2022-03-06 22:27:38.000,3.2.3,19.0,pytextrank,,,,,262.0,250.0,https://pypi.org/project/pytextrank,2022-03-06 22:27:38.000,12.0,27220.0,27220.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n381,IB-insync,erdewit/ib_insync,financial-data,,https://github.com/erdewit/ib_insync,https://github.com/erdewit/ib_insync,BSD-2-Clause,2017-07-12 12:09:24.000,2022-03-17 17:08:04.000000,2022-03-17 17:07:59,640.0,18.0,481,171.0,61.0,15.0,379.0,1781,Python sync/async framework for Interactive Brokers API.,30.0,28,True,2021-11-28 19:34:09.000,0.9.70,95.0,ib_insync,conda-forge/ib-insync,,,,19.0,,https://pypi.org/project/ib_insync,2021-11-28 19:34:09.000,19.0,7322.0,7777.0,https://anaconda.org/conda-forge/ib-insync,2021-11-29 01:17:29.243,15016.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n382,HyperTools,ContextLab/hypertools,data-viz,,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25.000,2022-02-12 03:29:55.000000,2022-02-12 02:32:06,1636.0,37.0,157,59.0,65.0,69.0,123.0,1710,A Python toolbox for gaining geometric insights into high-dimensional data.,21.0,28,True,2022-02-12 03:29:55.000,0.8.0,21.0,hypertools,,,,,191.0,181.0,https://pypi.org/project/hypertools,2022-02-12 02:43:24.000,10.0,876.0,876.0,,,,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,,\n383,tesserocr,sirfz/tesserocr,ocr,,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36.000,2021-11-09 18:12:48.000000,2021-11-09 18:12:47,178.0,,211,54.0,58.0,80.0,161.0,1618,A Python wrapper for the tesseract-ocr API.,26.0,28,True,2021-06-19 21:10:18.000,2.5.2,16.0,tesserocr,conda-forge/tesserocr,,,,712.0,651.0,https://pypi.org/project/tesserocr,2021-06-19 21:10:18.000,61.0,64002.0,66205.0,https://anaconda.org/conda-forge/tesserocr,2021-01-13 16:38:14.456,66107.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n384,Alibi,SeldonIO/alibi,interpretability,,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Apache-2.0,2019-02-26 10:10:56.000,2022-04-21 13:24:40.000000,2022-04-19 13:03:55,386.0,26.0,183,42.0,361.0,118.0,162.0,1584,Algorithms for explaining machine learning models.,18.0,28,True,2022-03-18 15:26:19.000,0.6.5,24.0,alibi,,,,,181.0,158.0,https://pypi.org/project/alibi,2022-03-18 15:25:04.000,23.0,29213.0,29213.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n385,petastorm,uber/petastorm,distributed-ml,,https://github.com/uber/petastorm,https://github.com/uber/petastorm,Apache-2.0,2018-06-15 23:15:29.000,2022-04-21 05:00:49.000000,2022-04-21 03:53:31,672.0,5.0,234,40.0,479.0,141.0,139.0,1413,Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets..,44.0,28,True,2022-02-19 02:47:30.000,0.11.4,77.0,petastorm,,,,,71.0,65.0,https://pypi.org/project/petastorm,2022-02-19 02:47:30.000,6.0,93371.0,93377.0,,,,,,,,2.0,309.0,,,,,,,,,,,,,,,,,,,\n386,ogb,snap-stanford/ogb,graph,,https://github.com/snap-stanford/ogb,https://github.com/snap-stanford/ogb,MIT,2019-11-22 22:13:57.000,2022-04-20 09:11:11.000000,2022-04-20 09:11:09,584.0,5.0,282,38.0,32.0,5.0,200.0,1306,\"Benchmark datasets, data loaders, and evaluators for graph machine learning.\",19.0,28,True,2022-02-23 05:45:04.000,1.3.3,16.0,ogb,conda-forge/ogb,,,,286.0,273.0,https://pypi.org/project/ogb,2022-02-23 05:45:04.000,13.0,14052.0,14436.0,https://anaconda.org/conda-forge/ogb,2022-02-23 11:52:44.440,7304.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n387,Optimus,hi-primus/optimus,data-pipelines,,https://github.com/hi-primus/optimus,https://github.com/hi-primus/optimus,Apache-2.0,2017-07-13 02:31:18.000,2022-04-20 17:58:47.000000,2022-04-20 17:58:01,6348.0,157.0,210,39.0,998.0,31.0,196.0,1209,\"Agile Data Preparation Workflows madeeasy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark.\",25.0,28,True,2020-07-19 03:05:40.000,2.2.32,85.0,optimuspyspark,,,,['spark'],,,https://pypi.org/project/optimuspyspark,2019-05-30 02:22:54.000,,98942.0,98942.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n388,pyclustering,annoviko/pyclustering,others,,https://github.com/annoviko/pyclustering,https://github.com/annoviko/pyclustering,BSD-3-Clause,2014-02-25 18:59:03.000,2022-04-08 00:39:29.000000,2021-02-12 19:04:59,2079.0,,223,39.0,34.0,58.0,589.0,948,\"pyclustring is a Python, C++ data mining library.\",26.0,28,False,2020-11-25 22:33:07.000,0.10.1.2,46.0,pyclustering,conda-forge/pyclustering,,,,336.0,308.0,https://pypi.org/project/pyclustering,2020-11-25 22:41:20.000,28.0,59543.0,60807.0,https://anaconda.org/conda-forge/pyclustering,2021-09-13 14:29:08.300,35237.0,,,,,2.0,404.0,,,,,,,,,,,,,,,,,,,\n389,pyjanitor,pyjanitor-devs/pyjanitor,others,,https://github.com/pyjanitor-devs/pyjanitor,https://github.com/pyjanitor-devs/pyjanitor,MIT,2018-03-04 22:43:33.000,2022-04-17 14:08:54.000000,2022-04-17 12:29:57,1363.0,39.0,140,23.0,603.0,102.0,360.0,890,Clean APIs for data cleaning. Python implementation of R package Janitor.,96.0,28,True,2021-11-21 02:25:32.000,0.22.0,53.0,pyjanitor,conda-forge/pyjanitor,,,,176.0,166.0,https://pypi.org/project/pyjanitor,2021-11-21 02:25:27.000,10.0,17254.0,19602.0,https://anaconda.org/conda-forge/pyjanitor,2021-11-22 17:28:45.154,115090.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n390,dask-ml,dask/dask-ml,distributed-ml,,https://github.com/dask/dask-ml,https://github.com/dask/dask-ml,BSD-3-Clause,2017-06-15 15:56:06.000,2022-04-20 17:34:04.000000,2022-04-16 13:15:43,798.0,1.0,220,40.0,486.0,230.0,240.0,797,Scalable Machine Learning with Dask.,72.0,28,True,2022-01-22 13:23:47.000,2022.1.22,33.0,dask-ml,conda-forge/dask-ml,,,,660.0,605.0,https://pypi.org/project/dask-ml,2022-01-22 13:23:47.000,55.0,82406.0,87727.0,https://anaconda.org/conda-forge/dask-ml,2022-01-22 16:40:06.510,287351.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n391,PyNNDescent,lmcinnes/pynndescent,nn-search,,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000,2022-04-14 00:48:49.000000,2022-04-14 00:48:45,577.0,23.0,82,12.0,76.0,48.0,52.0,608,A Python nearest neighbor descent for approximate nearest neighbors.,19.0,28,True,2022-01-21 03:32:05.000,0.5.6,25.0,pynndescent,conda-forge/pynndescent,,,,1525.0,1500.0,https://pypi.org/project/pynndescent,2022-01-21 03:32:05.000,25.0,1359904.0,1375998.0,https://anaconda.org/conda-forge/pynndescent,2022-01-22 20:10:32.647,547222.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n392,mpi4py,mpi4py/mpi4py,distributed-ml,,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-2-Clause,2013-09-05 14:44:25.000,2022-04-19 09:02:01.000000,2022-04-15 11:31:08,2513.0,60.0,75,12.0,95.0,13.0,59.0,523,Python bindings for MPI.,20.0,28,True,2021-11-25 21:07:13.000,3.1.3,20.0,mpi4py,conda-forge/mpi4py,,,,582.0,,https://pypi.org/project/mpi4py,2021-12-15 13:48:39.969,582.0,148232.0,163705.0,https://anaconda.org/conda-forge/mpi4py,2022-04-04 08:04:09.204,1022868.0,,,,,2.0,4357.0,,,,,,,,,,,,,,,,,,,\n393,tinytag,devsnd/tinytag,audio,,https://github.com/devsnd/tinytag,https://github.com/devsnd/tinytag,MIT,2014-01-27 15:27:01.000,2022-03-15 11:16:28.000000,2022-03-15 11:16:28,384.0,34.0,89,23.0,55.0,11.0,78.0,520,\"Read audio and music meta data and duration of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA, Wave and AIFF files with python 2..\",21.0,28,True,2022-03-12 17:51:16.000,1.8.1,37.0,tinytag,,,,,581.0,511.0,https://pypi.org/project/tinytag,2022-03-12 17:51:16.000,70.0,73577.0,73577.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n394,ml-metadata,google/ml-metadata,ml-experiments,,https://github.com/google/ml-metadata,https://github.com/google/ml-metadata,Apache-2.0,2019-01-15 21:02:09.000,2022-04-07 19:37:53.000000,2022-04-07 19:37:52,605.0,27.0,90,28.0,70.0,23.0,62.0,461,For recording and retrieving metadata associated with ML developer and data scientist workflows.,14.0,28,True,2022-02-28 20:09:07.000,1.7.0,34.0,ml-metadata,,,,,226.0,208.0,https://pypi.org/project/ml-metadata,2022-02-28 20:09:07.000,18.0,577602.0,577648.0,,,,,,,,3.0,1733.0,,,,,,,,,,,,,,,,,,,\n395,audioread,beetbox/audioread,audio,,https://github.com/beetbox/audioread,https://github.com/beetbox/audioread,MIT,2011-11-08 19:53:18.000,2022-04-10 00:32:17.148000,2021-12-03 18:19:53,251.0,,92,19.0,44.0,31.0,48.0,395,cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python.,21.0,28,True,2020-10-20 11:23:09.000,2.1.9,25.0,audioread,conda-forge/audioread,,,,8390.0,8065.0,https://pypi.org/project/audioread,2020-10-20 11:23:09.000,325.0,848197.0,854103.0,https://anaconda.org/conda-forge/audioread,2022-04-10 00:32:17.148,407554.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n396,Ciphey,Ciphey/Ciphey,nlp,,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39.000,2022-04-14 13:01:42.621045,2021-11-03 02:20:58,1873.0,,601,196.0,437.0,51.0,236.0,9711,\"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.\",46.0,27,True,2021-06-06 17:14:16.000,5.14.0,50.0,ciphey,,remnux/ciphey,,,,,https://pypi.org/project/ciphey,2021-06-06 17:13:48.000,,8594.0,9056.0,,,,https://hub.docker.com/r/remnux/ciphey,2022-04-14 13:01:42.621045,6.0,15263.0,2.0,,,,,,,,,,,,,,,,,,,,\n397,cortex,cortexlabs/cortex,model-serialisation,,https://github.com/cortexlabs/cortex,https://github.com/cortexlabs/cortex,Apache-2.0,2019-01-24 04:43:14.000,2022-03-26 04:54:51.000000,2022-03-26 04:54:45,2320.0,13.0,588,149.0,1345.0,109.0,980.0,7745,Production infrastructure for machine learning at scale.,24.0,27,True,2022-01-10 17:48:15.000,0.42.0,62.0,cortex,,,,,1.0,,https://pypi.org/project/cortex,2022-01-10 17:37:01.000,1.0,1969.0,1969.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n398,Facets Overview,pair-code/facets,data-viz,,https://github.com/PAIR-code/facets,https://github.com/PAIR-code/facets,Apache-2.0,2017-07-07 14:03:03.000,2021-11-29 10:48:23.000000,2021-05-06 12:01:05,264.0,,834,276.0,93.0,76.0,76.0,6836,Visualizations for machine learning datasets.,28.0,27,True,2019-07-24 15:57:06.000,1.0.0,4.0,facets-overview,,,,['jupyter'],116.0,112.0,https://pypi.org/project/facets-overview,2019-07-24 15:57:06.000,4.0,179238.0,179238.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n399,snownlp,isnowfy/snownlp,chinese-nlp,,https://github.com/isnowfy/snownlp,https://github.com/isnowfy/snownlp,MIT,2013-11-26 11:46:56.000,2020-01-19 02:39:05.000000,2020-01-19 02:39:03,57.0,,1317,350.0,14.0,39.0,65.0,5765,Python library for processing Chinese text.,8.0,27,False,2015-09-27 16:35:23.000,0.12.3,17.0,snownlp,,,,,894.0,855.0,https://pypi.org/project/snownlp,2015-09-27 16:35:23.000,39.0,8297.0,8297.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n400,Lucid,tensorflow/lucid,interpretability,,https://github.com/tensorflow/lucid,https://github.com/tensorflow/lucid,Apache-2.0,2018-01-25 17:41:44.000,2022-04-18 14:51:39.000000,2021-03-19 15:48:33,667.0,,592,160.0,128.0,72.0,100.0,4380,A collection of infrastructure and tools for research in neural network interpretability.,40.0,27,False,2021-03-19 16:01:00.000,0.3.10,17.0,lucid,,,,['tensorflow'],629.0,623.0,https://pypi.org/project/lucid,2021-03-19 16:01:00.000,6.0,1383.0,1383.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n401,T5,google-research/text-to-text-transfer-transformer,nlp,,https://github.com/google-research/text-to-text-transfer-transformer,https://github.com/google-research/text-to-text-transfer-transformer,Apache-2.0,2019-10-17 21:45:14.000,2022-04-20 04:42:49.000000,2022-04-20 04:42:44,550.0,12.0,570,98.0,524.0,64.0,337.0,4115,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,48.0,27,True,2021-10-18 13:55:26.000,0.9.3,28.0,t5,,,,['tensorflow'],94.0,92.0,https://pypi.org/project/t5,2021-10-18 13:55:26.000,2.0,6548.0,6548.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n402,TensorTrade,tensortrade-org/tensortrade,financial-data,,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32.000,2022-03-06 18:33:52.000000,2022-03-02 13:05:43,1042.0,90.0,867,232.0,210.0,31.0,194.0,3817,\"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.\",61.0,27,True,2021-05-10 18:04:30.000,1.0.3,27.0,tensortrade,conda-forge/tensortrade,,,,35.0,34.0,https://pypi.org/project/tensortrade,2021-05-10 18:00:35.000,1.0,582.0,665.0,https://anaconda.org/conda-forge/tensortrade,2021-05-10 20:10:14.115,999.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n403,TensorFlowOnSpark,yahoo/TensorFlowOnSpark,distributed-ml,,https://github.com/yahoo/TensorFlowOnSpark,https://github.com/yahoo/TensorFlowOnSpark,Apache-2.0,2017-01-20 18:15:57.000,2022-04-20 23:37:16.000000,2022-04-20 23:09:36,630.0,1.0,967,286.0,222.0,7.0,355.0,3781,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,34.0,27,True,2021-05-25 22:25:31.000,2.2.4,31.0,tensorflowonspark,conda-forge/tensorflowonspark,,,\"['tensorflow', 'spark']\",5.0,,https://pypi.org/project/tensorflowonspark,2021-05-25 20:44:29.000,5.0,459962.0,460319.0,https://anaconda.org/conda-forge/tensorflowonspark,2022-03-27 02:58:05.206,10003.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n404,Alpha Vantage,RomelTorres/alpha_vantage,financial-data,,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00.000,2022-01-04 14:23:20.000000,2021-06-14 05:10:42,518.0,,636,172.0,76.0,14.0,249.0,3628,A python wrapper for Alpha Vantage API for financial data.,39.0,27,True,2020-12-21 02:37:29.000,2.3.1,28.0,alpha_vantage,conda-forge/alpha_vantage,,,,104.0,,https://pypi.org/project/alpha_vantage,2018-08-26 18:55:11.000,104.0,29715.0,29786.0,https://anaconda.org/conda-forge/alpha_vantage,2021-01-14 18:10:30.064,1078.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n405,BentoML,bentoml/BentoML,model-serialisation,,https://github.com/bentoml/BentoML,https://github.com/bentoml/BentoML,Apache-2.0,2019-04-02 01:39:27.000,2022-04-21 10:13:23.000000,2022-04-19 00:34:57,1596.0,109.0,389,55.0,1694.0,64.0,521.0,3421,The Unified Model Serving Framework.,104.0,27,True,2021-07-13 10:52:52.000,0.13.1,61.0,bentoml,,,,,2.0,,https://pypi.org/project/bentoml,2022-04-06 09:40:56.000,2.0,14995.0,15030.0,,,,,,,,2.0,1280.0,,,,,,,,,,,,,,,,,,,\n406,TextDistance,life4/textdistance,nlp,,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10.000,2022-04-09 15:11:19.000000,2021-11-29 10:29:02,321.0,,225,59.0,42.0,9.0,,2783,\"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..\",11.0,27,True,2021-10-27 13:15:53.000,4.2.2,22.0,textdistance,conda-forge/textdistance,,,,2094.0,2055.0,https://pypi.org/project/textdistance,2021-10-27 13:15:53.000,39.0,386061.0,388045.0,https://anaconda.org/conda-forge/textdistance,2021-10-27 17:04:18.548,92710.0,,,,,2.0,646.0,,,,,,,,,,,,,,,,,,,\n407,aubio,aubio/aubio,audio,,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44.000,2022-04-08 08:03:51.000000,2022-01-25 17:32:20,4123.0,1.0,339,84.0,56.0,131.0,178.0,2681,a library for audio and music analysis.,24.0,27,False,2019-02-27 09:00:43.000,0.4.9,10.0,aubio,conda-forge/aubio,,,,323.0,298.0,https://pypi.org/project/aubio,2019-02-08 11:21:02.000,25.0,1703.0,9922.0,https://anaconda.org/conda-forge/aubio,2022-03-29 03:08:52.036,501416.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n408,eli5,TeamHG-Memex/eli5,interpretability,,https://github.com/TeamHG-Memex/eli5,https://github.com/TeamHG-Memex/eli5,MIT,2016-09-15 01:04:57.000,2021-06-10 22:02:56.000000,2020-01-22 07:39:36,1198.0,,313,70.0,166.0,153.0,111.0,2521,A library for debugging/inspecting machine learning classifiers and explaining their predictions.,14.0,27,False,2021-01-23 14:25:24.000,0.11.0,28.0,eli5,conda-forge/eli5,,,,68.0,,https://pypi.org/project/eli5,2021-01-23 14:25:24.000,68.0,1346813.0,1348679.0,https://anaconda.org/conda-forge/eli5,2021-01-25 08:24:59.385,110140.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n409,analytics-zoo,intel-analytics/analytics-zoo,distributed-ml,,https://github.com/intel-analytics/analytics-zoo,https://github.com/intel-analytics/analytics-zoo,Apache-2.0,2017-05-05 02:27:30.000,2022-04-20 20:13:16.000000,2022-03-29 10:34:59,3426.0,7.0,713,102.0,3829.0,560.0,843.0,2492,\"Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray.\",105.0,27,True,2022-01-25 00:20:26.000,0.11.2,296.0,analytics-zoo,,,,['spark'],4.0,3.0,https://pypi.org/project/analytics-zoo,2022-04-20 20:13:16.000,1.0,14453.0,14453.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n410,TF Ranking,tensorflow/ranking,recommender-systems,,https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57.000,2022-02-21 13:26:13.000000,2021-11-22 21:36:59,442.0,,422,93.0,32.0,50.0,236.0,2457,Learning to Rank in TensorFlow.,25.0,27,True,2021-11-16 23:49:54.000,0.5.0,19.0,tensorflow_ranking,,,,['tensorflow'],11.0,,https://pypi.org/project/tensorflow_ranking,2021-11-16 01:31:58.000,11.0,48120.0,48120.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n411,Mars,mars-project/mars,others,,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03.000,2022-04-21 14:25:09.000000,2022-04-21 07:05:55,1118.0,112.0,299,87.0,1876.0,172.0,871.0,2391,\"Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and..\",44.0,27,True,2022-04-09 16:24:52.000,0.8.5,111.0,pymars,,,,,1.0,,https://pypi.org/project/pymars,2022-04-09 16:24:52.000,1.0,4688.0,4688.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n412,Hyperas,maxpumperla/hyperas,hyperopt,,https://github.com/maxpumperla/hyperas,https://github.com/maxpumperla/hyperas,MIT,2016-02-19 14:45:10.000,2021-11-19 13:23:59.000000,2021-11-19 13:23:56,211.0,,305,61.0,37.0,92.0,158.0,2123,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,21.0,27,True,2019-02-28 09:16:54.000,0.4.1,9.0,hyperas,,,,['tensorflow'],255.0,231.0,https://pypi.org/project/hyperas,2019-02-28 09:16:54.000,24.0,15180.0,15180.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n413,langid,saffsd/langid.py,nlp,,https://github.com/saffsd/langid.py,https://github.com/saffsd/langid.py,BSD-3-Clause,2011-04-29 00:16:56.000,2020-01-01 10:49:30.000000,2017-07-15 02:49:17,242.0,,278,65.0,14.0,26.0,45.0,1945,Stand-alone language identification system.,9.0,27,False,2016-04-05 22:34:15.000,1.1.6,8.0,langid,,,,,1140.0,976.0,https://pypi.org/project/langid,2016-04-05 22:34:15.000,164.0,351681.0,351681.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n414,RecBole,RUCAIBox/RecBole,recommender-systems,,https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000,2022-04-05 02:54:54.000000,2022-04-05 02:54:54,3525.0,101.0,328,36.0,819.0,52.0,328.0,1784,\"A unified, comprehensive and efficient recommendation library.\",45.0,27,True,2022-02-25 13:56:32.000,1.0.1,7.0,recbole,aibox/recbole,,,['pytorch'],,,https://pypi.org/project/recbole,2022-02-25 07:32:53.000,,2631.0,2713.0,https://anaconda.org/aibox/recbole,2022-02-25 14:10:37.696,1400.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n415,sahi,obss/sahi,image,,https://github.com/obss/sahi,https://github.com/obss/sahi,MIT,2021-01-30 12:54:53.000,2022-04-17 23:22:18.000000,2022-04-14 10:58:52,312.0,28.0,225,31.0,302.0,20.0,119.0,1536,A lightweight vision library for performing large scale object detection/ instance segmentation.,8.0,27,True,2022-04-09 10:13:11.000,0.9.2,74.0,sahi,conda-forge/sahi,,,,46.0,41.0,https://pypi.org/project/sahi,2022-04-09 10:13:38.000,5.0,16687.0,17029.0,https://anaconda.org/conda-forge/sahi,2022-04-09 19:51:59.553,2057.0,,,,,3.0,1.0,,,,,,,,,,,,,,,,,,,\n416,chainercv,chainer/chainercv,image,,https://github.com/chainer/chainercv,https://github.com/chainer/chainercv,MIT,2017-02-13 04:15:10.000,2021-07-01 16:54:50.000000,2020-01-07 11:48:31,4930.0,,318,73.0,742.0,54.0,168.0,1473,ChainerCV: a Library for Deep Learning in Computer Vision.,39.0,27,False,2019-06-12 11:55:02.000,0.13.1,24.0,chainercv,,,,,324.0,293.0,https://pypi.org/project/chainercv,2019-06-12 11:55:40.000,31.0,2486.0,2486.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n417,bt,pmorissette/bt,financial-data,,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28.000,2022-04-03 02:11:08.000000,2022-04-03 02:11:08,459.0,21.0,309,78.0,78.0,55.0,227.0,1358,bt - flexible backtesting for Python.,25.0,27,True,2021-04-21 02:52:26.000,0.2.9,25.0,bt,conda-forge/bt,,,,128.0,107.0,https://pypi.org/project/bt,2021-04-21 02:52:26.000,21.0,6078.0,6393.0,https://anaconda.org/conda-forge/bt,2022-01-18 18:09:55.903,3781.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n418,alibi-detect,SeldonIO/alibi-detect,others,,https://github.com/SeldonIO/alibi-detect,https://github.com/SeldonIO/alibi-detect,Apache-2.0,2019-10-07 13:29:13.000,2022-04-21 07:12:06.000000,2022-04-14 15:40:59,484.0,35.0,136,34.0,269.0,74.0,151.0,1264,\"Algorithms for outlier, adversarial and drift detection.\",15.0,27,True,2022-04-01 13:40:23.000,0.9.1,24.0,alibi-detect,,,,,87.0,82.0,https://pypi.org/project/alibi-detect,2022-04-01 13:39:54.000,5.0,17116.0,17116.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n419,fairlearn,fairlearn/fairlearn,interpretability,,https://github.com/fairlearn/fairlearn,https://github.com/fairlearn/fairlearn,MIT,2018-05-15 01:51:35.000,2022-04-21 14:00:20.000000,2022-04-11 07:20:22,692.0,30.0,293,33.0,689.0,136.0,207.0,1255,A Python package to assess and improve fairness of machine learning models.,66.0,27,True,2021-07-07 08:16:09.000,0.7.0,16.0,fairlearn,conda-forge/fairlearn,,,['sklearn'],9.0,,https://pypi.org/project/fairlearn,2021-07-07 05:54:23.000,9.0,69400.0,70071.0,https://anaconda.org/conda-forge/fairlearn,2021-07-07 15:56:16.605,17451.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n420,Opacus,pytorch/opacus,privacy-ml,,https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000,2022-04-21 14:26:54.000000,2022-04-21 14:25:12,609.0,35.0,188,42.0,245.0,43.0,132.0,1123,Training PyTorch models with differential privacy.,48.0,27,True,2022-04-08 18:56:02.000,1.1.1,15.0,opacus,conda-forge/opacus,,,['pytorch'],107.0,96.0,https://pypi.org/project/opacus,2022-04-08 18:56:02.000,11.0,4082.0,4221.0,https://anaconda.org/conda-forge/opacus,2022-04-08 22:03:01.451,416.0,,,,,2.0,43.0,,,,,,,,,,,,,,,,,,,\n421,ffn,pmorissette/ffn,financial-data,,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09.000,2022-02-25 16:01:47.000000,2022-02-25 16:01:47,356.0,5.0,204,56.0,66.0,16.0,80.0,1119,ffn - a financial function library for Python.,26.0,27,True,2021-04-21 02:47:21.000,0.3.6,27.0,ffn,conda-forge/ffn,,,,214.0,189.0,https://pypi.org/project/ffn,2021-04-21 02:47:21.000,25.0,30400.0,30463.0,https://anaconda.org/conda-forge/ffn,2021-04-22 14:02:56.125,756.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n422,pandasql,yhat/pandasql,data-containers,,https://github.com/yhat/pandasql,https://github.com/yhat/pandasql,MIT,2013-02-18 01:53:56.000,2021-06-14 19:49:10.558000,2017-02-01 15:40:30,127.0,,150,44.0,27.0,45.0,24.0,1108,sqldf for pandas.,15.0,27,False,2016-04-20 21:52:36.000,0.7.3,31.0,pandasql,conda-forge/pandasql,,,['pandas'],1309.0,1245.0,https://pypi.org/project/pandasql,2016-04-20 21:52:36.000,64.0,1890332.0,1907650.0,https://anaconda.org/conda-forge/pandasql,2021-06-14 19:49:10.558,173186.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n423,minisom,JustGlowing/minisom,others,,https://github.com/JustGlowing/minisom,https://github.com/JustGlowing/minisom,CC-BY-3.0,2013-07-03 10:10:06.000,2022-04-13 13:35:15.000000,2022-03-16 16:00:51,484.0,17.0,327,30.0,37.0,10.0,91.0,1049,MiniSom is a minimalistic implementation of the Self Organizing Maps.,25.0,27,False,2022-02-25 07:50:44.000,2.3.0,2.0,minisom,,,,,259.0,254.0,https://pypi.org/project/minisom,2022-02-25 07:34:51.000,5.0,13604.0,13604.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n424,PySAL,pysal/pysal,geospatial-data,,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42.000,2022-01-31 17:47:09.921000,2022-01-30 22:27:10,4173.0,28.0,273,78.0,624.0,11.0,598.0,1004,PySAL: Python Spatial Analysis Library Meta-Package.,75.0,27,True,2022-01-30 19:38:41.000,2.6.0,28.0,pysal,conda-forge/pysal,,,,30.0,,https://pypi.org/project/pysal,2022-01-30 19:38:41.000,30.0,18509.0,24821.0,https://anaconda.org/conda-forge/pysal,2022-01-31 17:47:09.921,435578.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n425,Neural Structured Learning,tensorflow/neural-structured-learning,tensorflow-utils,,https://github.com/tensorflow/neural-structured-learning,https://github.com/tensorflow/neural-structured-learning,Apache-2.0,2019-08-27 21:48:16.000,2022-03-24 03:12:11.000000,2022-03-24 03:12:07,512.0,11.0,167,44.0,52.0,3.0,58.0,914,Training neural models with structured signals.,33.0,27,True,2020-08-18 00:35:35.000,1.3.1,7.0,neural-structured-learning,,,,['tensorflow'],210.0,208.0,https://pypi.org/project/neural-structured-learning,2020-08-18 00:35:35.000,2.0,14683.0,14683.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n426,pythreejs,jupyter-widgets/pythreejs,data-viz,,https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,BSD-3-Clause,2013-12-23 17:02:11.000,2022-04-21 13:30:47.000000,2021-12-06 21:48:19,1667.0,,175,41.0,163.0,73.0,144.0,806,A Jupyter - Three.js bridge.,29.0,27,True,2021-02-26 14:01:21.000,2.3.0,43.0,pythreejs,conda-forge/pythreejs,,,['jupyter'],64.0,19.0,https://pypi.org/project/pythreejs,2021-02-26 14:01:21.000,38.0,55571.0,66082.0,https://anaconda.org/conda-forge/pythreejs,2021-03-02 13:32:39.505,375264.0,,,,,3.0,,,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,2021-02-26 13:59:06.062,7.0,5226.0,,,,,,,,,,,,\n427,Sentinelsat,sentinelsat/sentinelsat,geospatial-data,,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26.000,2022-01-06 09:30:10.449000,2022-01-05 19:57:41,1116.0,,204,58.0,238.0,13.0,310.0,743,Search and download Copernicus Sentinel satellite images.,42.0,27,False,2022-01-05 19:58:27.000,1.1.1,40.0,sentinelsat,conda-forge/sentinelsat,,,,328.0,298.0,https://pypi.org/project/sentinelsat,2022-01-05 19:58:27.000,30.0,13649.0,13965.0,https://anaconda.org/conda-forge/sentinelsat,2022-01-06 09:30:10.449,5637.0,,,,,3.0,228.0,,,,,,,,,,,,,,,,,,,\n428,Orion,Epistimio/orion,hyperopt,,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21.000,2022-04-21 14:23:57.000000,2022-04-19 18:29:32,3224.0,125.0,44,13.0,557.0,170.0,158.0,224,Asynchronous Distributed Hyperparameter Optimization.,25.0,27,False,2022-03-07 19:03:38.000,0.2.3,22.0,orion,,,,,68.0,62.0,https://pypi.org/project/orion,2022-03-07 19:03:38.000,6.0,3903.0,3903.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n429,english-words,dwyl/english-words,nlp,,https://github.com/dwyl/english-words,https://github.com/dwyl/english-words,Unlicense,2014-07-13 22:20:45.000,2022-04-21 05:04:38.000000,2022-04-20 08:17:18,89.0,4.0,1377,188.0,55.0,60.0,28.0,7011,A text file containing 479k English words for all your dictionary/word-based projects e.g: auto-completion /..,27.0,26,True,2022-01-29 05:49:51.000,1.1.0,7.0,english-words,,,,,6.0,,https://pypi.org/project/english-words,2022-01-29 05:49:51.000,6.0,21841.0,21841.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n430,Trax,google/trax,others,,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000,2022-04-21 06:03:55.000000,2022-04-20 15:51:38,1600.0,9.0,694,147.0,1536.0,87.0,121.0,6877,Trax Deep Learning with Clear Code and Speed.,77.0,26,True,2021-10-26 20:29:38.000,1.4.1,24.0,trax,,,,,51.0,51.0,https://pypi.org/project/trax,2021-10-26 20:27:35.000,,4186.0,4186.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n431,Face Alignment,1adrianb/face-alignment,image,,https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44.000,2022-03-28 09:19:03.000000,2021-08-04 06:54:21,205.0,,1171,170.0,39.0,52.0,216.0,5637,2D and 3D Face alignment library build using pytorch.,23.0,26,True,2021-09-14 15:35:24.000,1.3.5,11.0,face-alignment,,,,['pytorch'],8.0,,https://pypi.org/project/face-alignment,2021-09-14 15:35:24.000,8.0,8061.0,8061.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n432,Augmentor,mdbloice/Augmentor,image,,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55.000,2021-10-15 05:38:50.000000,2021-10-15 05:38:50,537.0,,830,129.0,58.0,122.0,70.0,4690,Image augmentation library in Python for machine learning.,22.0,26,True,2021-10-14 08:49:48.000,0.2.9,21.0,Augmentor,,,,,467.0,438.0,https://pypi.org/project/Augmentor,2021-10-14 08:49:48.000,29.0,13858.0,13858.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n433,FATE,FederatedAI/FATE,privacy-ml,,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000,2022-04-20 08:39:26.000000,2022-04-15 10:35:39,10410.0,366.0,1242,138.0,2743.0,380.0,779.0,4179,An Industrial Grade Federated Learning Framework.,74.0,26,True,2022-04-18 14:23:38.000,1.8.0,34.0,ETAF,,,,,,,https://pypi.org/project/ETAF,2020-05-06 09:35:40.000,,1.0,1.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n434,layout-parser,Layout-Parser/layout-parser,image,,https://github.com/Layout-Parser/layout-parser,https://github.com/Layout-Parser/layout-parser,Apache-2.0,2020-06-10 20:22:54.000,2022-04-06 04:38:09.000000,2022-04-05 20:55:12,181.0,13.0,279,54.0,43.0,43.0,47.0,2938,A Unified Toolkit for Deep Learning Based Document Image Analysis.,8.0,26,True,2022-04-06 04:38:09.000,0.3.4,11.0,layoutparser,,,,,65.0,63.0,https://pypi.org/project/layoutparser,2022-04-06 04:38:09.000,2.0,5736.0,5736.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n435,keras-vis,raghakot/keras-vis,interpretability,,https://github.com/raghakot/keras-vis,https://github.com/raghakot/keras-vis,MIT,2016-11-11 23:27:34.000,2022-02-07 16:06:07.000000,2020-04-20 01:03:12,195.0,,625,71.0,25.0,114.0,101.0,2925,Neural network visualization toolkit for keras.,10.0,26,False,2017-07-06 04:55:04.000,0.4.1,11.0,keras-vis,,,,['tensorflow'],1811.0,1782.0,https://pypi.org/project/keras-vis,2017-07-06 04:55:04.000,29.0,4105.0,4105.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n436,cleanlab,cleanlab/cleanlab,others,,https://github.com/cleanlab/cleanlab,https://github.com/cleanlab/cleanlab,AGPL-3.0,2018-05-11 01:55:21.000,2022-04-21 05:11:44.000000,2022-04-21 00:45:04,899.0,198.0,290,57.0,126.0,25.0,79.0,2925,\"The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.\",10.0,26,False,2022-04-20 21:15:28.000,2.0.0,17.0,cleanlab,conda-forge/cleanlab,,,,36.0,34.0,https://pypi.org/project/cleanlab,2022-04-20 21:15:28.000,2.0,6953.0,7097.0,https://anaconda.org/conda-forge/cleanlab,2022-03-08 12:39:32.457,3469.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n437,SHOGUN,shogun-toolbox/shogun,ml-frameworks,,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32.000,2022-01-18 22:03:55.000000,2020-12-08 16:56:38,17588.0,,1047,217.0,3648.0,437.0,1102.0,2881,Unified and efficient Machine Learning.,248.0,26,False,2019-07-05 10:23:31.000,shogun_6.1.4,10.0,,conda-forge/shogun,shogun/shogun,,,,,,,,,1964.0,https://anaconda.org/conda-forge/shogun,2018-06-25 20:49:17.070,111348.0,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1481.0,3.0,,,,,,,,,,shogun,,,,,,,,,,\n438,Hummingbird,microsoft/hummingbird,model-serialisation,,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000,2022-03-15 23:09:12.000000,2022-03-15 22:59:41,368.0,5.0,218,47.0,340.0,48.0,187.0,2801,Hummingbird compiles trained ML models into tensor computation for faster inference.,28.0,26,True,2022-03-11 23:00:06.000,0.4.3,16.0,hummingbird-ml,conda-forge/hummingbird-ml,,,,28.0,28.0,https://pypi.org/project/hummingbird-ml,2022-03-11 22:55:51.000,,2425.0,2930.0,https://anaconda.org/conda-forge/hummingbird-ml,2021-12-14 21:22:58.497,6476.0,,,,,3.0,163.0,,,,,,,,,,,,,,,,,,,\n439,fastNLP,fastnlp/fastNLP,nlp,,https://github.com/fastnlp/fastNLP,https://github.com/fastnlp/fastNLP,Apache-2.0,2018-03-07 13:30:20.000,2022-04-20 10:27:38.000000,2021-12-06 11:37:15,1769.0,,409,80.0,224.0,37.0,146.0,2567,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,54.0,26,True,2020-11-06 15:31:29.000,0.6.0,10.0,fastnlp,,,,,71.0,68.0,https://pypi.org/project/fastnlp,2019-02-04 02:35:37.000,3.0,1366.0,1367.0,,,,,,,,3.0,66.0,,,,,,,,,,,,,,,,,,,\n440,PARL,PaddlePaddle/PARL,reinforcement-learning,,https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22.000,2022-04-21 09:07:01.000000,2022-04-20 13:56:44,428.0,9.0,674,57.0,503.0,71.0,279.0,2538,A high-performance distributed training framework for Reinforcement Learning.,29.0,26,True,2021-12-30 06:45:32.000,2.0.3,23.0,parl,,,,['paddle'],89.0,89.0,https://pypi.org/project/parl,2021-12-30 06:45:32.000,,840.0,840.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n441,Alphalens,quantopian/alphalens,financial-data,,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15.000,2021-12-05 06:35:06.000000,2020-04-27 18:40:41,522.0,,849,163.0,213.0,42.0,145.0,2256,Performance analysis of predictive (alpha) stock factors.,25.0,26,False,2020-04-30 15:42:52.000,0.4.0,10.0,alphalens,conda-forge/alphalens,,,,547.0,530.0,https://pypi.org/project/alphalens,2020-04-27 21:03:10.000,17.0,4145.0,4437.0,https://anaconda.org/conda-forge/alphalens,2020-05-16 13:52:44.922,14623.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n442,scikit-plot,reiinakano/scikit-plot,interpretability,,https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59.000,2021-08-11 23:58:11.000000,2018-08-19 12:37:47,130.0,,255,65.0,57.0,21.0,39.0,2200,An intuitive library to add plotting functionality to scikit-learn objects.,13.0,26,False,2018-08-19 12:21:01.000,0.3.7,27.0,scikit-plot,conda-forge/scikit-plot,,,['sklearn'],1944.0,1904.0,https://pypi.org/project/scikit-plot,2018-08-19 12:18:46.000,40.0,366294.0,368201.0,https://anaconda.org/conda-forge/scikit-plot,2019-06-05 14:23:59.043,108727.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n443,Pandaral·lel,nalepae/pandarallel,data-containers,,https://github.com/nalepae/pandarallel,https://github.com/nalepae/pandarallel,BSD-3-Clause,2019-03-10 11:58:29.000,2022-04-09 18:29:55.375000,2022-03-15 09:46:13,152.0,24.0,135,22.0,25.0,74.0,81.0,2137,A simple and efficient tool to parallelize Pandas operations on all availableCPUs.,19.0,26,True,2022-03-15 09:48:27.000,1.6.1,37.0,pandarallel,conda-forge/pandarallel,,,\"['pandas', 'jupyter']\",20.0,,https://pypi.org/project/pandarallel,2022-03-15 09:46:45.000,20.0,272761.0,273047.0,https://anaconda.org/conda-forge/pandarallel,2022-04-09 18:29:55.375,2865.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n444,DDSP,magenta/ddsp,audio,,https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27.000,2022-04-21 00:42:52.000000,2022-04-20 23:01:22,450.0,23.0,243,62.0,292.0,22.0,112.0,2124,DDSP: Differentiable Digital Signal Processing.,31.0,26,True,2022-04-20 23:02:19.000,3.3.6,46.0,ddsp,conda-forge/ddsp,,,['tensorflow'],23.0,22.0,https://pypi.org/project/ddsp,2022-04-20 23:02:19.000,1.0,3459.0,3932.0,https://anaconda.org/conda-forge/ddsp,2020-06-08 12:59:15.975,10425.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n445,Spektral,danielegrattarola/spektral,graph,,https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10.000,2022-04-09 13:44:22.000000,2022-04-09 12:47:04,1061.0,20.0,283,47.0,46.0,43.0,179.0,2045,Graph Neural Networks with Keras and Tensorflow 2.,20.0,26,True,2022-04-09 13:44:22.000,1.1,32.0,spektral,,,,['tensorflow'],120.0,118.0,https://pypi.org/project/spektral,2022-04-09 13:00:34.000,2.0,6164.0,6164.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n446,PyFunctional,EntilZha/PyFunctional,data-pipelines,,https://github.com/EntilZha/PyFunctional,https://github.com/EntilZha/PyFunctional,MIT,2015-02-05 17:17:51.000,2021-11-26 14:50:52.000000,2021-11-05 18:58:53,520.0,,109,53.0,43.0,7.0,119.0,2002,Python library for creating data pipelines with chain functional programming.,25.0,26,True,2021-01-12 19:21:07.000,1.4.3,14.0,pyfunctional,,,,,437.0,425.0,https://pypi.org/project/pyfunctional,2021-01-12 19:14:48.000,12.0,99460.0,99460.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n447,efficientnet,qubvel/efficientnet,tensorflow-utils,,https://github.com/qubvel/efficientnet,https://github.com/qubvel/efficientnet,Apache-2.0,2019-05-30 20:21:09.000,2022-01-14 10:29:02.172000,2021-07-16 09:03:20,66.0,,444,37.0,41.0,59.0,57.0,1967,Implementation of EfficientNet model. Keras and TensorFlow Keras.,10.0,26,True,2020-09-15 16:26:00.000,1.1.1,9.0,efficientnet,anaconda/efficientnet,,,['tensorflow'],979.0,972.0,https://pypi.org/project/efficientnet,2020-09-15 16:26:00.000,7.0,102748.0,109409.0,https://anaconda.org/anaconda/efficientnet,2022-01-14 10:29:02.172,19.0,,,,,3.0,233107.0,,,,,,,,,,,,,,,,,,,\n448,mtcnn,ipazc/mtcnn,image,,https://github.com/ipazc/mtcnn,https://github.com/ipazc/mtcnn,MIT,2018-01-05 04:08:32.000,2022-03-02 10:05:52.000000,2021-07-09 11:06:18,56.0,,448,41.0,22.0,62.0,38.0,1760,\"MTCNN face detection implementation for TensorFlow, as a PIP package.\",15.0,26,True,2021-07-09 11:16:39.000,0.1.1,11.0,mtcnn,conda-forge/mtcnn,,,['tensorflow'],2192.0,2149.0,https://pypi.org/project/mtcnn,2021-07-09 11:16:39.000,43.0,28331.0,28505.0,https://anaconda.org/conda-forge/mtcnn,2021-08-17 17:36:21.436,4542.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n449,Neural Tangents,google/neural-tangents,ml-frameworks,,https://github.com/google/neural-tangents,https://github.com/google/neural-tangents,Apache-2.0,2019-04-08 16:48:48.000,2022-04-13 01:50:50.000000,2022-04-13 01:50:46,492.0,54.0,194,62.0,26.0,38.0,77.0,1742,Fast and Easy Infinite Neural Networks in Python.,22.0,26,True,2022-02-23 16:58:57.000,0.5.0,25.0,neural-tangents,,,,,34.0,33.0,https://pypi.org/project/neural-tangents,2022-02-23 16:56:29.000,1.0,510.0,520.0,,,,,,,,3.0,231.0,,,,,,,,,,,,,,,,,,,\n450,TensorFlow Privacy,tensorflow/privacy,privacy-ml,,https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000,2022-04-21 06:04:02.000000,2022-04-20 20:25:48,662.0,82.0,349,62.0,75.0,66.0,86.0,1587,Library for training machine learning models with privacy for training data.,46.0,26,True,2022-02-22 20:37:34.000,.0.8.0,18.0,tensorflow-privacy,,,,['tensorflow'],7.0,,https://pypi.org/project/tensorflow-privacy,2022-02-22 20:33:28.000,7.0,29908.0,29910.0,,,,,,,,2.0,70.0,,,,,,,,,,,,,,,,,,,\n451,pygraphistry,graphistry/pygraphistry,graph,,https://github.com/graphistry/pygraphistry,https://github.com/graphistry/pygraphistry,BSD-3-Clause,2015-06-02 20:28:42.000,2022-04-20 04:33:50.000000,2022-04-12 02:48:33,832.0,15.0,160,45.0,133.0,84.0,118.0,1586,\"PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated..\",19.0,26,True,2022-04-12 02:50:58.000,0.23.2,134.0,graphistry,,,,['jupyter'],72.0,68.0,https://pypi.org/project/graphistry,2022-04-12 02:50:58.000,4.0,2537.0,2537.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n452,lightly,lightly-ai/lightly,image,,https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000,2022-04-21 09:28:56.000000,2022-04-21 09:28:55,684.0,81.0,117,25.0,461.0,55.0,256.0,1550,A python library for self-supervised learning on images.,17.0,26,True,2022-04-05 14:26:02.000,1.2.13,49.0,lightly,,,,['pytorch'],37.0,36.0,https://pypi.org/project/lightly,2022-04-05 14:28:05.000,1.0,2591.0,2591.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n453,Elephas,maxpumperla/elephas,distributed-ml,,https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19.000,2022-03-30 23:25:17.000000,2022-03-30 23:22:31,502.0,1.0,299,104.0,46.0,17.0,138.0,1539,Distributed Deep learning with Keras & Spark.,27.0,26,True,2022-03-30 23:25:17.000,3.1.0,23.0,elephas,conda-forge/elephas,,,\"['keras', 'spark']\",58.0,55.0,https://pypi.org/project/elephas,2022-03-30 23:25:17.000,3.0,38081.0,38329.0,https://anaconda.org/conda-forge/elephas,2021-06-02 18:33:53.270,7964.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n454,streamparse,Parsely/streamparse,data-pipelines,,https://github.com/Parsely/streamparse,https://github.com/Parsely/streamparse,Apache-2.0,2014-05-02 20:33:50.000,2022-01-10 21:46:17.000000,2022-01-10 21:42:18,1069.0,,217,102.0,167.0,70.0,263.0,1459,\"Run Python in Apache Storm topologies. Pythonic API, CLI tooling, and a topology DSL.\",42.0,26,True,2022-01-10 21:46:17.000,4.1.2,50.0,streamparse,,,,,81.0,54.0,https://pypi.org/project/streamparse,2022-01-10 21:43:49.000,27.0,4135.0,4135.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n455,Orbit,uber/orbit,probabilistics,,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000,2022-04-19 18:29:20.000000,2022-04-19 18:29:20,817.0,44.0,93,28.0,384.0,61.0,304.0,1341,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,16.0,26,True,2022-03-04 00:17:17.000,1.1.1,18.0,orbit-ml,,,,,7.0,6.0,https://pypi.org/project/orbit-ml,2022-04-07 00:22:44.000,1.0,11189.0,11189.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n456,Paddle Graph Learning,PaddlePaddle/PGL,graph,,https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28.000,2022-04-21 09:00:47.000000,2022-04-21 08:59:16,1083.0,47.0,221,24.0,289.0,48.0,70.0,1260,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,24.0,26,True,2022-04-21 09:53:00.000,2.2.3post0,18.0,pgl,,,,['paddle'],27.0,25.0,https://pypi.org/project/pgl,2022-04-21 08:39:32.000,2.0,5629.0,5629.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n457,Mesh,tensorflow/mesh,distributed-ml,,https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34.000,2022-03-25 22:02:09.000000,2022-03-25 22:02:03,650.0,6.0,206,40.0,301.0,88.0,14.0,1242,Mesh TensorFlow: Model Parallelism Made Easier.,47.0,26,True,2021-03-24 19:03:46.000,0.1.19,25.0,mesh-tensorflow,,,,['tensorflow'],698.0,666.0,https://pypi.org/project/mesh-tensorflow,2021-03-24 19:03:46.000,32.0,19113.0,19113.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n458,metric-learn,scikit-learn-contrib/metric-learn,others,,https://github.com/scikit-learn-contrib/metric-learn,https://github.com/scikit-learn-contrib/metric-learn,MIT,2013-11-02 08:29:47.000,2022-04-07 21:15:18.000000,2022-03-11 06:00:21,281.0,1.0,216,49.0,180.0,52.0,117.0,1230,Metric learning algorithms in Python.,22.0,26,True,2020-07-02 12:59:23.000,0.6.2,10.0,metric-learn,conda-forge/metric-learn,,,['sklearn'],210.0,199.0,https://pypi.org/project/metric-learn,2020-07-02 12:59:23.000,11.0,11613.0,11832.0,https://anaconda.org/conda-forge/metric-learn,2020-07-02 13:51:25.681,5491.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n459,pycm,sepandhaghighi/pycm,others,,https://github.com/sepandhaghighi/pycm,https://github.com/sepandhaghighi/pycm,MIT,2018-01-22 19:46:54.000,2022-03-31 13:16:51.000000,2022-01-26 10:23:11,2945.0,3.0,105,35.0,250.0,13.0,168.0,1229,Multi-class confusion matrix library in Python.,17.0,26,True,2022-01-26 10:42:57.000,3.4,38.0,pycm,,,,,151.0,139.0,https://pypi.org/project/pycm,2022-01-26 10:43:21.000,12.0,34718.0,34718.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n460,livelossplot,stared/livelossplot,ml-experiments,,https://github.com/stared/livelossplot,https://github.com/stared/livelossplot,MIT,2018-03-10 17:51:43.000,2022-04-05 08:01:28.000000,2022-04-04 16:13:36,330.0,2.0,140,27.0,62.0,4.0,70.0,1173,\"Live training loss plot in Jupyter Notebook for Keras, PyTorch and others.\",17.0,26,True,2022-04-04 16:14:08.000,0.5.5,25.0,livelossplot,,,,['jupyter'],779.0,768.0,https://pypi.org/project/livelossplot,2022-04-04 16:14:08.000,11.0,65398.0,65398.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n461,arq,samuelcolvin/arq,data-pipelines,,https://github.com/samuelcolvin/arq,https://github.com/samuelcolvin/arq,MIT,2016-07-21 18:24:42.000,2022-04-04 10:52:55.000000,2022-03-28 11:37:46,328.0,14.0,98,25.0,170.0,36.0,100.0,1162,Fast job queuing and RPC in python with asyncio and redis.,39.0,26,True,2021-09-02 12:45:02.000,0.22,56.0,arq,conda-forge/arq,,,,227.0,216.0,https://pypi.org/project/arq,2022-03-09 17:53:27.000,11.0,20879.0,21048.0,https://anaconda.org/conda-forge/arq,2021-09-03 10:08:17.446,2036.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n462,spacy-transformers,explosion/spacy-transformers,nlp,,https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000,2022-03-15 09:42:03.045000,2022-03-15 07:37:28,1389.0,2.0,139,28.0,156.0,,,1099,\"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.\",18.0,26,True,2022-03-15 08:06:32.000,1.1.5,59.0,spacy-transformers,conda-forge/spacy-transformers,,,['spacy'],488.0,471.0,https://pypi.org/project/spacy-transformers,2022-03-15 08:05:56.000,17.0,98661.0,98844.0,https://anaconda.org/conda-forge/spacy-transformers,2022-03-15 09:42:03.045,918.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n463,openTSNE,pavlin-policar/openTSNE,data-viz,,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000,2022-03-18 13:53:43.000000,2022-03-18 13:03:22,603.0,25.0,119,25.0,107.0,2.0,100.0,976,\"Extensible, parallel implementations of t-SNE.\",10.0,26,True,2022-03-18 13:55:30.000,0.6.2,23.0,opentsne,conda-forge/opentsne,,,,324.0,315.0,https://pypi.org/project/opentsne,2022-03-18 13:53:43.000,9.0,18405.0,21747.0,https://anaconda.org/conda-forge/opentsne,2021-11-13 15:59:24.399,133718.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n464,bcolz,Blosc/bcolz,data-containers,,https://github.com/Blosc/bcolz,https://github.com/Blosc/bcolz,BSD-3-Clause,2010-08-18 15:27:02.000,2021-09-07 20:42:40.000000,2020-09-10 12:12:45,1280.0,,134,60.0,176.0,133.0,122.0,943,A columnar data container that can be compressed.,33.0,26,False,2018-04-13 07:44:26.000,1.2.1,23.0,bcolz,conda-forge/bcolz,,,,2235.0,1732.0,https://pypi.org/project/bcolz,2018-04-13 07:44:26.000,503.0,13596.0,18326.0,https://anaconda.org/conda-forge/bcolz,2019-11-05 21:09:48.045,293318.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n465,empyrical,quantopian/empyrical,financial-data,,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52.000,2020-10-14 13:28:13.625000,2020-10-14 13:22:39,167.0,,283,71.0,83.0,27.0,26.0,912,Common financial risk and performance metrics. Used by zipline and pyfolio.,22.0,26,False,2020-10-13 21:29:19.000,0.5.5,21.0,empyrical,conda-forge/empyrical,,,,988.0,854.0,https://pypi.org/project/empyrical,2020-10-13 21:29:19.000,134.0,20699.0,21008.0,https://anaconda.org/conda-forge/empyrical,2020-10-14 13:28:13.625,15483.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n466,avalanche,ContinualAI/avalanche,others,,https://github.com/ContinualAI/avalanche,https://github.com/ContinualAI/avalanche,MIT,2020-03-05 11:32:13.000,2022-04-21 14:43:48.000000,2022-04-21 14:43:48,2578.0,236.0,137,29.0,362.0,71.0,430.0,865,Avalanche: an End-to-End Library for Continual Learning based on PyTorch.,55.0,26,True,2021-12-16 14:35:52.000,0.1.0,2.0,avalanche-lib,,,,,8.0,8.0,https://pypi.org/project/avalanche-lib,2021-12-16 14:35:52.000,,536.0,536.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n467,GPyOpt,SheffieldML/GPyOpt,hyperopt,,https://github.com/SheffieldML/GPyOpt,https://github.com/SheffieldML/GPyOpt,BSD-3-Clause,2014-08-13 09:58:25.000,2020-11-17 10:32:02.000000,2020-11-05 15:16:04,514.0,,244,42.0,72.0,100.0,186.0,809,Gaussian Process Optimization using GPy.,49.0,26,False,2020-03-19 21:21:18.000,1.2.6,11.0,gpyopt,,,,,307.0,275.0,https://pypi.org/project/gpyopt,2020-03-19 11:37:45.000,32.0,14527.0,14527.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n468,mahotas,luispedro/mahotas,image,,https://github.com/luispedro/mahotas,https://github.com/luispedro/mahotas,MIT,2010-01-31 00:13:06.000,2021-12-07 00:42:53.000000,2021-12-07 00:42:43,1286.0,,141,46.0,53.0,16.0,61.0,742,Computer Vision in Python.,32.0,26,True,2021-10-14 12:53:24.000,1.4.12,58.0,mahotas,conda-forge/mahotas,,,,912.0,801.0,https://pypi.org/project/mahotas,2021-10-14 12:53:24.000,111.0,11968.0,16274.0,https://anaconda.org/conda-forge/mahotas,2021-11-17 20:03:30.117,314376.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n469,lets-plot,JetBrains/lets-plot,data-viz,,https://github.com/JetBrains/lets-plot,https://github.com/JetBrains/lets-plot,MIT,2019-03-20 16:13:03.000,2022-04-20 19:46:41.000000,2022-04-20 19:46:39,2464.0,120.0,33,133.0,291.0,72.0,172.0,734,An open-source plotting library for statistical data.,16.0,26,True,2022-03-21 18:58:35.000,2.3.0,48.0,lets-plot,,,,,17.0,16.0,https://pypi.org/project/lets-plot,2022-03-21 18:18:47.000,1.0,3214.0,3222.0,,,,,,,,3.0,259.0,,,,,,,,,,,,,,,,,,,\n470,Guild AI,guildai/guildai,ml-experiments,,https://github.com/guildai/guildai,https://github.com/guildai/guildai,Apache-2.0,2017-09-27 18:57:50.000,2022-04-20 14:55:44.000000,2022-04-20 14:55:44,4802.0,164.0,61,14.0,41.0,148.0,193.0,691,\"Experiment tracking, ML developer tools.\",20.0,26,True,2022-03-31 20:07:44.000,0.8.0,180.0,guildai,,,,,50.0,50.0,https://pypi.org/project/guildai,2022-03-31 20:07:44.000,,3760.0,3760.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n471,CellProfiler,CellProfiler/CellProfiler,image,,https://github.com/CellProfiler/CellProfiler,https://github.com/CellProfiler/CellProfiler,BSD-3-Clause,2011-04-05 12:10:12.000,2022-04-21 15:00:41.000000,2022-03-15 15:01:24,15386.0,15.0,304,46.0,1488.0,205.0,2844.0,660,An open-source application for biological image analysis.,128.0,26,True,2021-07-22 19:01:42.000,4.2.1,43.0,cellprofiler,,,,,7.0,7.0,https://pypi.org/project/cellprofiler,2017-09-04 18:03:36.000,,596.0,621.0,,,,,,,,3.0,2562.0,,,,,,,,,,,,,,,,,,,\n472,docarray,jina-ai/docarray,data-containers,,https://github.com/jina-ai/docarray,https://github.com/jina-ai/docarray,Apache-2.0,2021-12-14 15:26:24.000,2022-04-21 14:21:06.000000,2022-04-20 21:54:38,493.0,300.0,47,24.0,230.0,13.0,46.0,635,The data structure for unstructured data.,23.0,26,True,2022-04-20 06:20:15.000,0.12.7,286.0,docarray,conda-forge/docarray,,,,37.0,36.0,https://pypi.org/project/docarray,2022-04-20 06:19:42.000,1.0,51833.0,52629.0,https://anaconda.org/conda-forge/docarray,2022-04-20 09:19:14.107,2390.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n473,responsible-ai-widgets,microsoft/responsible-ai-toolbox,interpretability,,https://github.com/microsoft/responsible-ai-toolbox,https://github.com/microsoft/responsible-ai-toolbox,MIT,2020-07-06 20:46:53.000,2022-04-21 04:56:00.000000,2022-04-21 02:16:04,999.0,169.0,114,18.0,1126.0,55.0,207.0,467,\"This project provides responsible AI user interfaces for Fairlearn, interpret-community, and Error Analysis, as well..\",24.0,26,True,2022-04-20 18:57:09.000,0.18.0,33.0,raiwidgets,,,,\"['pytorch', 'tensorflow', 'jupyter']\",28.0,25.0,https://pypi.org/project/raiwidgets,2022-04-20 18:25:15.000,3.0,11173.0,11173.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n474,GeoViews,holoviz/geoviews,geospatial-data,,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000,2022-04-07 06:37:49.000000,2022-04-07 06:37:47,691.0,15.0,68,29.0,269.0,104.0,196.0,404,\"Simple, concise geographical visualization in Python.\",26.0,26,True,2022-03-08 14:57:27.000,1.9.5,36.0,geoviews,conda-forge/geoviews,,,,26.0,,https://pypi.org/project/geoviews,2022-03-08 14:57:27.000,26.0,11331.0,13393.0,https://anaconda.org/conda-forge/geoviews,2022-03-08 21:16:14.407,101073.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n475,sklearn-crfsuite,TeamHG-Memex/sklearn-crfsuite,sklearn-utils,,https://github.com/TeamHG-Memex/sklearn-crfsuite,https://github.com/TeamHG-Memex/sklearn-crfsuite,MIT,2015-11-26 21:15:41.000,2021-10-27 17:57:56.000000,2019-12-05 08:17:22,46.0,,180,21.0,14.0,37.0,23.0,399,scikit-learn inspired API for CRFsuite.,6.0,26,False,2017-06-22 18:49:27.000,0.3.6,9.0,sklearn-crfsuite,conda-forge/sklearn-crfsuite,,,['sklearn'],3968.0,3702.0,https://pypi.org/project/sklearn-crfsuite,2017-06-22 18:49:27.000,266.0,149812.0,150547.0,https://anaconda.org/conda-forge/sklearn-crfsuite,2020-04-03 10:45:56.342,17657.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n476,pyvips,libvips/pyvips,image,,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000,2022-04-18 19:06:05.882000,2022-04-18 14:16:57,430.0,19.0,39,7.0,43.0,108.0,171.0,398,python binding for libvips using cffi.,13.0,26,True,2022-04-18 14:18:17.000,2.2.0,23.0,pyvips,conda-forge/pyvips,,,,351.0,312.0,https://pypi.org/project/pyvips,2022-04-18 14:18:17.000,39.0,18784.0,19314.0,https://anaconda.org/conda-forge/pyvips,2022-04-18 19:06:05.882,16984.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n477,StaticFrame,InvestmentSystems/static-frame,data-containers,,https://github.com/InvestmentSystems/static-frame,https://github.com/InvestmentSystems/static-frame,MIT,2018-01-03 15:07:52.000,2022-04-21 00:26:38.000000,2022-04-21 00:26:35,3971.0,505.0,25,11.0,67.0,37.0,354.0,282,Immutable and grow-only Pandas-like DataFrames with a more explicit and consistent interface.,20.0,26,False,2022-04-14 19:57:25.000,0.9.2,140.0,static-frame,conda-forge/static-frame,,,,13.0,11.0,https://pypi.org/project/static-frame,2022-04-14 19:55:47.000,2.0,1623.0,5282.0,https://anaconda.org/conda-forge/static-frame,2022-04-15 01:27:04.043,139068.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n478,dbnd,databand-ai/dbnd,data-pipelines,,https://github.com/databand-ai/dbnd,https://github.com/databand-ai/dbnd,Apache-2.0,2020-01-02 10:42:47.000,2022-04-20 11:31:21.000000,2022-04-20 09:31:48,2951.0,146.0,23,19.0,51.0,3.0,2.0,219,DBND is an agile pipeline framework that helps data engineering teams track and orchestrate their data processes.,58.0,26,False,2022-04-18 03:12:16.000,0.70.6,321.0,dbnd,,,,,47.0,25.0,https://pypi.org/project/dbnd,2022-04-20 11:28:05.000,22.0,148964.0,148964.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n479,PyStan,stan-dev/pystan,probabilistics,,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,ISC,2017-03-06 19:56:42.094,2022-02-15 22:25:08.000000,2022-02-15 22:25:08,197.0,8.0,40,11.0,178.0,12.0,158.0,180,\"PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io.\",10.0,26,False,2021-10-06 01:05:34.000,3.3.0,66.0,pystan,conda-forge/pystan,,,,247.0,,https://pypi.org/project/pystan,2022-02-15 20:52:07.000,247.0,2271872.0,2295568.0,https://anaconda.org/conda-forge/pystan,2022-02-03 10:06:49.622,1445503.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n480,mmdnn,Microsoft/MMdnn,model-serialisation,,https://github.com/microsoft/MMdnn,https://github.com/microsoft/MMdnn,MIT,2017-08-16 08:03:52.000,2021-03-01 14:17:24.000000,2020-08-14 02:32:30,1083.0,,964,185.0,323.0,327.0,289.0,5561,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,85.0,25,False,2020-07-24 06:34:39.000,0.3.1,12.0,mmdnn,,,,,79.0,76.0,https://pypi.org/project/mmdnn,2020-07-24 06:34:39.000,3.0,727.0,793.0,,,,,,,,3.0,3529.0,,,,,,,,,,,,,,,,,,,\n481,flashtext,vi3k6i5/flashtext,nlp,,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01.000,2021-07-26 20:38:52.000000,2020-05-03 07:13:22,108.0,,568,140.0,30.0,54.0,51.0,5147,Extract Keywords from sentence or Replace keywords in sentences.,7.0,25,False,,,18.0,flashtext,conda-forge/flashtext,,,,766.0,735.0,https://pypi.org/project/flashtext,2018-02-16 05:24:17.000,31.0,574039.0,574456.0,https://anaconda.org/conda-forge/flashtext,2020-07-16 16:37:59.996,8773.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n482,MMF,facebookresearch/mmf,image,,https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40.000,2022-04-20 04:48:26.000000,2022-04-20 04:47:08,1047.0,27.0,816,109.0,631.0,189.0,424.0,4880,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,99.0,25,True,2019-08-26 19:04:21.000,0.3.1,12.0,mmf,,,,['pytorch'],13.0,12.0,https://pypi.org/project/mmf,2020-06-12 22:15:02.000,1.0,855.0,855.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n483,AugLy,facebookresearch/AugLy,others,,https://github.com/facebookresearch/AugLy,https://github.com/facebookresearch/AugLy,MIT,2021-06-09 17:57:28.000,2022-04-16 05:30:32.000000,2022-04-16 05:29:02,166.0,20.0,234,59.0,150.0,13.0,52.0,4413,\"A data augmentations library for audio, image, text, and video.\",20.0,25,True,2022-03-29 11:42:50.000,1.0.0,17.0,augly,,,,,31.0,28.0,https://pypi.org/project/augly,2022-03-28 13:29:26.000,3.0,2012.0,2012.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n484,PyAlgoTrade,gbeced/pyalgotrade,financial-data,,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54.000,2022-02-01 17:04:10.000000,2018-08-21 02:42:52,1156.0,,1219,350.0,52.0,45.0,84.0,3654,Python Algorithmic Trading Library.,11.0,25,False,,,8.0,pyalgotrade,,,,,130.0,109.0,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25.000,21.0,529.0,529.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n485,Snips NLU,snipsco/snips-nlu,nlp,,https://github.com/snipsco/snips-nlu,https://github.com/snipsco/snips-nlu,Apache-2.0,2017-02-08 16:16:36.000,2021-11-17 15:23:01.000000,2021-05-03 12:18:31,2154.0,,495,140.0,648.0,59.0,197.0,3638,Snips Python library to extract meaning from text.,22.0,25,True,2020-01-15 10:13:17.000,0.20.2,58.0,snips-nlu,,,,,11.0,,https://pypi.org/project/snips-nlu,2020-01-15 10:13:17.000,11.0,2990.0,2990.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n486,Stable Baselines,hill-a/stable-baselines,reinforcement-learning,,https://github.com/hill-a/stable-baselines,https://github.com/hill-a/stable-baselines,MIT,2018-07-02 14:28:59.000,2021-08-25 09:25:32.000000,2021-08-25 09:25:32,838.0,,685,67.0,246.0,128.0,811.0,3509,\"A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.\",112.0,25,True,2021-04-06 12:37:09.000,2.10.2,31.0,stable-baselines,,,,,34.0,,https://pypi.org/project/stable-baselines,2021-04-06 12:37:09.000,34.0,9155.0,9155.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n487,AdaNet,tensorflow/adanet,hyperopt,,https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24.000,2021-08-30 19:33:24.000000,2021-08-30 19:33:24,440.0,,519,171.0,49.0,64.0,48.0,3380,Fast and flexible AutoML with learning guarantees.,27.0,25,True,2020-07-09 21:03:28.000,0.9.0,13.0,adanet,,,,['tensorflow'],45.0,43.0,https://pypi.org/project/adanet,2020-07-09 21:03:28.000,2.0,2018.0,2018.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n488,TensorForce,tensorforce/tensorforce,reinforcement-learning,,https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22.000,2022-02-10 08:43:13.000000,2022-02-10 08:43:04,2099.0,2.0,512,148.0,228.0,13.0,626.0,3120,Tensorforce: a TensorFlow library for applied reinforcement learning.,82.0,25,True,2021-08-30 20:20:58.000,0.6.5,14.0,tensorforce,,,,['tensorflow'],26.0,,https://pypi.org/project/tensorforce,2019-09-07 13:56:18.000,26.0,1556.0,1556.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n489,scikit-opt,guofei9987/scikit-opt,sklearn-utils,,https://github.com/guofei9987/scikit-opt,https://github.com/guofei9987/scikit-opt,MIT,2017-12-05 10:20:41.000,2022-04-08 00:48:08.000000,2022-04-08 00:47:56,318.0,4.0,734,39.0,22.0,37.0,104.0,3118,\"Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune..\",14.0,25,True,2022-01-14 08:49:08.000,0.6.6,23.0,scikit-opt,,,,['sklearn'],78.0,72.0,https://pypi.org/project/scikit-opt,2022-01-14 08:49:08.000,6.0,5276.0,5276.0,,,,,,,,2.0,,,-2.0,,,,,,,,,,,,,,,,,\n490,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,graph,,https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16.000,2022-04-11 18:34:16.000000,2022-04-11 18:30:26,162.0,3.0,408,90.0,76.0,55.0,136.0,3038,Generate embeddings from large-scale graph-structured data.,27.0,25,True,2019-10-14 16:45:11.000,1.0.0,3.0,torchbiggraph,,,,['pytorch'],3.0,,https://pypi.org/project/torchbiggraph,2019-05-01 21:31:13.000,3.0,110242.0,110245.0,,,,,,,,2.0,131.0,,,,,,,,,,,,,,,,,,,\n491,xLearn,aksnzhy/xlearn,ml-frameworks,,https://github.com/aksnzhy/xlearn,https://github.com/aksnzhy/xlearn,Apache-2.0,2017-06-10 08:09:31.000,2021-01-28 14:17:44.000000,2020-03-03 10:12:35,1340.0,,528,109.0,70.0,193.0,114.0,2993,\"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..\",30.0,25,False,2019-04-25 02:10:05.000,0.4.4,15.0,xlearn,,,,,94.0,82.0,https://pypi.org/project/xlearn,2018-12-04 11:05:06.000,12.0,3265.0,3330.0,,,,,,,,3.0,3203.0,,,,,,,,,,,,,,,,,,,\n492,facenet-pytorch,timesler/facenet-pytorch,image,,https://github.com/timesler/facenet-pytorch,https://github.com/timesler/facenet-pytorch,MIT,2019-05-25 01:29:24.000,2021-12-13 14:59:32.000000,2021-12-13 12:07:11,235.0,,603,41.0,44.0,58.0,90.0,2811,Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models.,14.0,25,True,2021-03-10 01:00:20.000,2.5.2,31.0,facenet-pytorch,,,,['pytorch'],737.0,727.0,https://pypi.org/project/facenet-pytorch,2021-03-10 01:00:20.000,10.0,13094.0,22074.0,,,,,,,,3.0,260434.0,,,,,,,,,,,,,,,,,,,\n493,vissl,facebookresearch/vissl,image,,https://github.com/facebookresearch/vissl,https://github.com/facebookresearch/vissl,MIT,2020-04-09 19:40:33.000,2022-04-15 15:13:15.000000,2022-04-13 19:44:41,380.0,74.0,261,52.0,404.0,44.0,96.0,2573,\"VISSL is FAIRs library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.\",31.0,25,True,2021-11-02 17:21:02.000,0.1.6,6.0,vissl,,,,['pytorch'],7.0,6.0,https://pypi.org/project/vissl,2021-11-02 15:36:07.000,1.0,387.0,387.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n494,pytorchvideo,facebookresearch/pytorchvideo,image,,https://github.com/facebookresearch/pytorchvideo,https://github.com/facebookresearch/pytorchvideo,Apache-2.0,2021-03-09 20:39:13.000,2022-04-14 20:06:08.000000,2022-04-14 20:05:08,138.0,22.0,249,49.0,63.0,53.0,76.0,2395,A deep learning library for video understanding research.,31.0,25,True,2022-01-20 00:16:35.000,0.1.5,9.0,pytorchvideo,,,,['pytorch'],5.0,,https://pypi.org/project/pytorchvideo,2022-01-20 00:16:35.000,5.0,16136.0,16136.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n495,Enigma Catalyst,scrtlabs/catalyst,financial-data,,https://github.com/scrtlabs/catalyst,https://github.com/scrtlabs/catalyst,Apache-2.0,2017-06-13 22:31:34.000,2021-09-22 15:32:01.000000,2021-09-22 15:31:55,6364.0,,694,166.0,93.0,134.0,358.0,2335,An Algorithmic Trading Library for Crypto-Assets in Python.,148.0,25,True,2018-11-11 16:46:28.000,0.5.21,52.0,enigma-catalyst,,,,,26.0,24.0,https://pypi.org/project/enigma-catalyst,2018-11-11 16:46:28.000,2.0,564.0,564.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n496,HiPlot,facebookresearch/hiplot,data-viz,,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41.000,2022-03-26 10:51:20.000000,2022-03-26 10:31:28,191.0,14.0,117,28.0,168.0,12.0,64.0,2288,HiPlot makes understanding high dimensional data easy.,8.0,25,True,2021-11-04 14:37:14.000,0.1.32,104.0,hiplot,conda-forge/hiplot,,,,15.0,4.0,https://pypi.org/project/hiplot,2022-03-26 10:51:20.000,11.0,11181.0,14318.0,https://anaconda.org/conda-forge/hiplot,2021-11-05 06:41:13.441,81577.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n497,m2cgen,BayesWitnesses/m2cgen,model-serialisation,,https://github.com/BayesWitnesses/m2cgen,https://github.com/BayesWitnesses/m2cgen,MIT,2019-01-13 02:32:55.000,2022-04-20 15:41:19.000000,2022-04-20 15:41:14,357.0,23.0,182,45.0,427.0,36.0,66.0,2080,\"Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart,..\",13.0,25,True,2020-09-18 19:17:26.000,0.9.0,12.0,m2cgen,,,,,27.0,27.0,https://pypi.org/project/m2cgen,2020-09-18 19:16:17.000,,34248.0,34248.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n498,polyglot,aboSamoor/polyglot,nlp,,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,GPL-3.0,2014-06-30 02:07:45.000,2021-04-28 03:41:03.000000,2020-09-22 22:35:28,271.0,,310,79.0,49.0,147.0,66.0,1987,Multilingual text (NLP) processing toolkit.,26.0,25,False,2016-07-03 20:05:42.000,16.7.4,9.0,polyglot,,,,,775.0,691.0,https://pypi.org/project/polyglot,2016-07-03 20:05:42.000,84.0,50641.0,50641.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n499,zenml,zenml-io/zenml,data-pipelines,,https://github.com/zenml-io/zenml,https://github.com/zenml-io/zenml,Apache-2.0,2020-11-19 09:25:46.000,2022-04-21 14:15:00.000000,2022-04-14 12:27:14,4423.0,315.0,135,31.0,443.0,10.0,59.0,1899,ZenML : MLOps framework to create reproducible pipelines. https://zenml.io.,30.0,25,True,2022-04-14 14:44:13.000,0.7.2,51.0,zenml,,,,,,,https://pypi.org/project/zenml,2022-04-14 13:22:54.000,,1044.0,1044.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n500,scattertext,JasonKessler/scattertext,nlp,,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12.000,2022-03-26 17:35:11.489000,2022-03-26 09:22:25,357.0,1.0,251,54.0,11.0,17.0,68.0,1806,Beautiful visualizations of how language differs among document types.,12.0,25,True,2022-03-26 09:23:49.000,0.1.6,135.0,scattertext,conda-forge/scattertext,,,,281.0,271.0,https://pypi.org/project/scattertext,2022-03-26 09:23:49.000,10.0,3560.0,4639.0,https://anaconda.org/conda-forge/scattertext,2022-03-26 17:35:11.489,60465.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n501,checklist,marcotcr/checklist,interpretability,,https://github.com/marcotcr/checklist,https://github.com/marcotcr/checklist,MIT,2020-03-09 17:18:49.000,2022-04-21 13:48:19.000000,2021-09-28 21:55:38,247.0,,151,27.0,40.0,12.0,80.0,1636,Beyond Accuracy: Behavioral Testing of NLP models with CheckList.,12.0,25,True,2021-05-24 16:45:59.000,0.0.11,10.0,checklist,conda-forge/checklist,,,['jupyter'],119.0,116.0,https://pypi.org/project/checklist,2021-05-24 16:45:59.000,3.0,24005.0,24185.0,https://anaconda.org/conda-forge/checklist,2021-07-15 13:35:51.684,2713.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n502,CausalNex,quantumblacklabs/causalnex,interpretability,,https://github.com/quantumblacklabs/causalnex,https://github.com/quantumblacklabs/causalnex,Apache-2.0,2019-12-12 15:26:09.000,2022-03-31 00:58:44.000000,2021-11-11 15:06:17,156.0,,165,46.0,47.0,16.0,88.0,1513,A Python library that helps data scientists to infer causation rather than observing correlation.,22.0,25,True,2021-11-11 15:15:32.000,0.11.0,16.0,causalnex,,,,\"['pytorch', 'sklearn']\",41.0,39.0,https://pypi.org/project/causalnex,2021-11-11 15:15:32.000,2.0,1220.0,1220.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n503,pytorch_geometric_temporal,benedekrozemberczki/pytorch_geometric_temporal,graph,,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,MIT,2020-06-27 01:11:33.000,2022-04-21 09:33:08.000000,2022-04-05 22:40:21,1876.0,45.0,224,39.0,63.0,7.0,90.0,1489,PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021).,20.0,25,True,2022-04-04 19:21:59.000,0.52.0,44.0,torch-geometric-temporal,,,,['pytorch'],1.0,,https://pypi.org/project/torch-geometric-temporal,2022-04-04 19:20:07.000,1.0,1682.0,1682.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n504,NiftyNet,NifTK/NiftyNet,medical-data,,https://github.com/NifTK/NiftyNet,https://github.com/NifTK/NiftyNet,Apache-2.0,2017-08-30 07:55:43.000,2020-04-21 19:54:52.000000,2020-04-21 19:54:51,3284.0,,390,90.0,165.0,102.0,224.0,1307,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,59.0,25,False,2019-10-10 10:59:33.000,0.6.0,11.0,niftynet,,,,['tensorflow'],39.0,38.0,https://pypi.org/project/niftynet,2019-10-10 10:59:33.000,1.0,4006.0,4006.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n505,pyts,johannfaouzi/pyts,time-series-data,,https://github.com/johannfaouzi/pyts,https://github.com/johannfaouzi/pyts,BSD-3-Clause,2017-07-31 09:23:16.000,2022-03-02 08:31:33.000000,2022-03-02 08:31:33,380.0,1.0,127,22.0,68.0,35.0,25.0,1234,A Python package for time series classification.,11.0,25,True,2021-10-31 13:51:09.000,0.12.0,18.0,pyts,conda-forge/pyts,,,,203.0,192.0,https://pypi.org/project/pyts,2021-10-31 13:51:09.000,11.0,125939.0,126268.0,https://anaconda.org/conda-forge/pyts,2021-10-31 15:13:32.850,10528.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n506,explainerdashboard,oegedijk/explainerdashboard,interpretability,,https://github.com/oegedijk/explainerdashboard,https://github.com/oegedijk/explainerdashboard,MIT,2019-10-30 08:26:16.000,2022-04-20 23:20:23.000000,2022-04-02 19:40:40,1240.0,15.0,148,14.0,30.0,21.0,145.0,1188,Quickly build Explainable AI dashboards that show the inner workings of so-called blackbox machine learning models.,13.0,25,True,2022-04-02 19:42:24.000,0.3.8.2,81.0,explainerdashboard,conda-forge/explainerdashboard,,,,90.0,88.0,https://pypi.org/project/explainerdashboard,2022-04-02 19:53:01.000,2.0,24360.0,25296.0,https://anaconda.org/conda-forge/explainerdashboard,2022-02-15 19:55:55.299,14990.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n507,Explainability 360,Trusted-AI/AIX360,interpretability,,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48.000,2022-02-18 23:37:54.000000,2022-02-18 23:37:54,320.0,3.0,221,50.0,85.0,38.0,26.0,1097,Interpretability and explainability of data and machine learning models.,29.0,25,True,2020-10-28 09:32:21.000,0.2.1,4.0,aix360,,,,,46.0,45.0,https://pypi.org/project/aix360,2020-10-28 09:18:17.000,1.0,1427.0,1427.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n508,fancyimpute,iskandr/fancyimpute,sklearn-utils,,https://github.com/iskandr/fancyimpute,https://github.com/iskandr/fancyimpute,Apache-2.0,2015-11-05 23:39:34.000,2021-10-21 17:50:40.000000,2021-10-21 17:45:17,202.0,,167,24.0,35.0,1.0,111.0,1057,Multivariate imputation and matrix completion algorithms implemented in Python.,12.0,25,True,2021-10-21 17:50:40.000,0.7.0,29.0,fancyimpute,,,,['sklearn'],1194.0,1165.0,https://pypi.org/project/fancyimpute,2021-10-21 17:50:40.000,29.0,11643.0,11643.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n509,TFEncrypted,tf-encrypted/tf-encrypted,privacy-ml,,https://github.com/tf-encrypted/tf-encrypted,https://github.com/tf-encrypted/tf-encrypted,Apache-2.0,2018-03-21 18:22:13.000,2022-03-10 02:03:55.000000,2022-03-10 02:03:55,598.0,3.0,177,58.0,444.0,168.0,246.0,1004,A Framework for Encrypted Machine Learning in TensorFlow.,28.0,25,True,2022-03-07 08:43:08.000,0.7.0,37.0,tf-encrypted,,,,['tensorflow'],70.0,61.0,https://pypi.org/project/tf-encrypted,2022-03-07 08:43:08.000,9.0,759.0,759.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n510,audiomentations,iver56/audiomentations,audio,,https://github.com/iver56/audiomentations,https://github.com/iver56/audiomentations,MIT,2019-02-12 16:36:24.000,2022-04-05 18:34:52.000000,2022-04-05 18:34:50,725.0,152.0,116,15.0,72.0,28.0,85.0,937,A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.,21.0,25,True,2022-03-18 08:10:49.000,0.24.0,26.0,audiomentations,,,,,124.0,123.0,https://pypi.org/project/audiomentations,2022-03-18 08:10:49.000,1.0,4076.0,4076.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n511,PySwarms,ljvmiranda921/pyswarms,others,,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45.000,2021-12-03 19:52:38.000000,2021-06-23 11:19:05,409.0,,294,32.0,290.0,16.0,195.0,912,A research toolkit for particle swarm optimization in Python.,43.0,25,True,2021-01-03 21:34:15.000,1.3.0,20.0,pyswarms,,,,,172.0,166.0,https://pypi.org/project/pyswarms,2021-01-03 21:34:15.000,6.0,32292.0,32292.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n512,Madmom,CPJKU/madmom,audio,,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06.000,2022-01-26 19:41:50.000000,2022-01-06 15:08:19,1746.0,,151,38.0,251.0,54.0,201.0,886,Python audio and music signal processing library.,20.0,25,True,2018-11-14 14:57:41.000,0.16.1,11.0,madmom,,,,,212.0,185.0,https://pypi.org/project/madmom,2018-11-14 14:56:22.000,27.0,2787.0,2787.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n513,AstroML,astroML/astroML,others,,https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50.000,2022-03-29 04:15:06.000000,2022-03-29 03:15:28,562.0,12.0,281,95.0,114.0,62.0,88.0,814,\"Machine learning, statistics, and data mining for astronomy and astrophysics.\",30.0,25,True,2022-01-25 21:56:31.000,1.0.2,13.0,astroML,conda-forge/astroml,,,['sklearn'],33.0,,https://pypi.org/project/astroML,2022-03-01 20:02:01.000,33.0,1593.0,2096.0,https://anaconda.org/conda-forge/astroml,2022-03-02 04:14:21.434,28199.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n514,PyKEEN,pykeen/pykeen,graph,,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000,2022-04-20 12:39:47.000000,2022-04-20 11:59:06,2629.0,96.0,111,21.0,492.0,120.0,264.0,807,A Python library for learning and evaluating knowledge graph embeddings.,25.0,25,True,2022-04-20 12:02:16.000,1.8.1,40.0,pykeen,,,,,3.0,,https://pypi.org/project/pykeen,2022-04-20 11:58:58.000,3.0,1053.0,1058.0,,,,,,,,2.0,116.0,,,,,,,,,,,,,,,,,,,\n515,scikit-lego,koaning/scikit-lego,sklearn-utils,,https://github.com/koaning/scikit-lego,https://github.com/koaning/scikit-lego,MIT,2019-01-21 15:30:15.000,2022-04-21 06:02:52.412000,2022-04-20 19:42:54,429.0,8.0,85,16.0,271.0,22.0,218.0,801,Extra blocks for scikit-learn pipelines.,50.0,25,True,2022-04-20 19:44:06.000,0.6.11,37.0,scikit-lego,conda-forge/scikit-lego,,,['sklearn'],51.0,45.0,https://pypi.org/project/scikit-lego,2022-04-20 19:44:43.000,6.0,13551.0,14135.0,https://anaconda.org/conda-forge/scikit-lego,2022-04-21 06:02:52.412,17549.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n516,bambi,bambinos/bambi,probabilistics,,https://github.com/bambinos/bambi,https://github.com/bambinos/bambi,MIT,2016-05-16 03:21:00.000,2022-04-21 14:38:46.000000,2022-04-19 02:17:56,651.0,25.0,80,26.0,252.0,37.0,201.0,765,BAyesian Model-Building Interface (Bambi) in Python.,24.0,25,True,2022-01-15 01:38:30.000,0.7.1,19.0,bambi,conda-forge/bambi,,,,30.0,27.0,https://pypi.org/project/bambi,2022-01-15 01:38:30.000,3.0,3207.0,3435.0,https://anaconda.org/conda-forge/bambi,2022-01-18 20:23:31.895,7316.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n517,scikit-multilearn,scikit-multilearn/scikit-multilearn,sklearn-utils,,https://github.com/scikit-multilearn/scikit-multilearn,https://github.com/scikit-multilearn/scikit-multilearn,BSD-2-Clause,2014-04-30 13:05:44.000,2022-02-24 22:06:23.000000,2019-05-21 11:29:06,487.0,,140,35.0,62.0,79.0,94.0,739,A scikit-learn based module for multi-label et. al. classification.,15.0,25,False,2018-12-10 16:24:47.000,0.2.0,6.0,scikit-multilearn,,,,['sklearn'],731.0,713.0,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47.000,18.0,71812.0,71812.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n518,NeuPy,itdxer/neupy,ml-frameworks,,https://github.com/itdxer/neupy,https://github.com/itdxer/neupy,MIT,2015-08-24 19:45:11.000,2022-03-11 23:25:33.000000,2019-09-02 19:02:38,1145.0,,152,33.0,23.0,32.0,234.0,707,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,7.0,25,False,2019-04-04 19:44:59.000,0.8.2,34.0,neupy,,,,,141.0,129.0,https://pypi.org/project/neupy,2019-04-04 19:43:06.000,12.0,3260.0,3260.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n519,SMAC3,automl/SMAC3,hyperopt,,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-1-Clause,2016-08-17 10:58:05.000,2022-04-21 09:26:10.000000,2022-04-19 07:18:31,2050.0,2.0,170,41.0,464.0,74.0,294.0,682,Sequential Model-based Algorithm Configuration.,38.0,25,False,2022-04-19 07:26:14.000,1.3.0,36.0,smac,conda-forge/smac,,,,35.0,,https://pypi.org/project/smac,2022-04-19 07:25:20.000,35.0,32210.0,32406.0,https://anaconda.org/conda-forge/smac,2021-10-21 10:00:48.137,2558.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n520,icevision,airctic/icevision,image,,https://github.com/airctic/icevision,https://github.com/airctic/icevision,Apache-2.0,2020-05-04 01:57:02.000,2022-04-10 13:59:28.000000,2022-04-10 13:54:57,1217.0,22.0,93,21.0,559.0,136.0,497.0,666,\"An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come.\",38.0,25,True,2022-02-10 15:53:08.000,0.12.0,41.0,icevision,,,,,5.0,,https://pypi.org/project/icevision,2022-02-10 15:54:11.000,5.0,3412.0,3412.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n521,Cornac,PreferredAI/cornac,recommender-systems,,https://github.com/PreferredAI/cornac,https://github.com/PreferredAI/cornac,Apache-2.0,2018-07-17 06:31:35.000,2022-02-19 07:51:09.542000,2022-02-19 03:16:53,1232.0,2.0,90,23.0,381.0,4.0,88.0,569,A Comparative Framework for Multimodal Recommender Systems.,13.0,25,True,2022-02-19 03:37:13.000,1.14.2,46.0,cornac,conda-forge/cornac,,,,113.0,98.0,https://pypi.org/project/cornac,2022-02-19 03:50:02.000,15.0,78184.0,84203.0,https://anaconda.org/conda-forge/cornac,2022-02-19 07:51:09.542,210690.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n522,python-soundfile,bastibe/python-soundfile,audio,,https://github.com/bastibe/python-soundfile,https://github.com/bastibe/python-soundfile,BSD-3-Clause,2013-08-27 13:36:52.000,2022-04-02 05:34:39.000000,2022-02-23 08:02:30,505.0,3.0,67,16.0,170.0,66.0,101.0,445,\"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.\",24.0,25,True,2019-12-04 10:03:39.000,0.10.3post1,9.0,soundfile,anaconda/pysoundfile,,,,539.0,,https://pypi.org/project/soundfile,2019-11-27 12:16:19.000,539.0,1108777.0,1108808.0,https://anaconda.org/anaconda/pysoundfile,,,,,,,3.0,3098.0,,,,,,,,,,,,,,,,,,,\n523,findspark,minrk/findspark,others,,https://github.com/minrk/findspark,https://github.com/minrk/findspark,BSD-3-Clause,2015-06-12 21:34:06.000,2022-02-11 17:17:32.393000,2022-02-11 07:59:35,77.0,5.0,67,8.0,17.0,12.0,11.0,434,Find pyspark to make it importable.,15.0,25,True,2022-02-11 08:02:06.000,2.0.1,14.0,findspark,conda-forge/findspark,,,['spark'],2518.0,2382.0,https://pypi.org/project/findspark,2022-02-11 08:02:06.000,136.0,2178186.0,2187170.0,https://anaconda.org/conda-forge/findspark,2022-02-11 17:17:32.393,628887.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n524,EarthPy,earthlab/earthpy,geospatial-data,,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000,2022-04-11 13:53:03.000000,2021-12-20 23:24:01,1186.0,,131,21.0,542.0,18.0,207.0,351,A package built to support working with spatial data using open source python.,40.0,25,True,2021-10-01 22:51:04.000,0.9.4,23.0,earthpy,conda-forge/earthpy,,,,144.0,137.0,https://pypi.org/project/earthpy,2021-10-01 22:51:04.000,7.0,6737.0,7911.0,https://anaconda.org/conda-forge/earthpy,2021-10-04 19:35:49.510,42275.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n525,vega,vega/ipyvega,data-viz,,https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000,2022-04-01 02:48:22.000000,2022-04-01 02:46:38,574.0,21.0,59,30.0,319.0,12.0,82.0,330,IPython/Jupyter notebook module for Vega and Vega-Lite.,11.0,25,True,2022-02-10 02:01:39.000,3.6.0,39.0,vega,conda-forge/vega,,,['jupyter'],84.0,,https://pypi.org/project/vega,2022-02-10 02:01:39.000,84.0,7249.0,14049.0,https://anaconda.org/conda-forge/vega,2022-02-10 13:26:24.004,476057.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n526,textgenrnn,minimaxir/textgenrnn,nlp,,https://github.com/minimaxir/textgenrnn,https://github.com/minimaxir/textgenrnn,MIT,2017-08-07 02:13:37.000,2021-12-17 04:03:09.000000,2020-07-14 02:41:10,174.0,,716,140.0,41.0,123.0,90.0,4677,Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines..,19.0,24,False,2020-02-03 01:07:00.000,2.0.0,14.0,textgenrnn,,,,['tensorflow'],1002.0,987.0,https://pypi.org/project/textgenrnn,2020-02-02 21:16:15.000,15.0,481.0,494.0,,,,,,,,3.0,664.0,,,,,,,,,,,,,,,,,,,\n527,torchdiffeq,rtqichen/torchdiffeq,pytorch-utils,,https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25.000,2022-01-17 20:17:27.000000,2022-01-17 20:15:35,225.0,,701,127.0,33.0,36.0,133.0,4040,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,20.0,24,True,2021-06-02 23:04:51.000,0.2.2,6.0,torchdiffeq,conda-forge/torchdiffeq,,,['pytorch'],244.0,238.0,https://pypi.org/project/torchdiffeq,2021-06-02 23:04:51.000,6.0,7456.0,7666.0,https://anaconda.org/conda-forge/torchdiffeq,2021-06-03 13:23:15.112,4838.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n528,DALI,NVIDIA/DALI,gpu-utilities,,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000,2022-04-21 13:35:46.000000,2022-04-21 07:22:48,2451.0,140.0,476,82.0,2693.0,167.0,968.0,3802,A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to..,71.0,24,True,2022-03-24 12:07:20.000,1.12.0,51.0,,,,,,,,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n529,segmentation_models,qubvel/segmentation_models,image,,https://github.com/qubvel/segmentation_models,https://github.com/qubvel/segmentation_models,MIT,2018-06-05 13:27:56.000,2022-01-04 21:11:23.000000,2020-04-17 09:51:20,204.0,,891,96.0,56.0,215.0,256.0,3800,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,14.0,24,False,2020-01-10 11:36:02.000,1.0.1,8.0,segmentation_models,,,,['tensorflow'],24.0,,https://pypi.org/project/segmentation_models,2020-01-10 11:36:02.000,24.0,48920.0,48920.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n530,MatchZoo,NTMC-Community/MatchZoo,nlp,,https://github.com/NTMC-Community/MatchZoo,https://github.com/NTMC-Community/MatchZoo,Apache-2.0,2017-06-08 08:55:22.000,2021-06-03 02:58:49.000000,2021-06-02 17:38:16,1810.0,,908,178.0,385.0,32.0,429.0,3636,\"Facilitating the design, comparison and sharing of deep text matching models.\",36.0,24,True,2019-10-24 13:09:11.000,2.2.0,5.0,matchzoo,,,,['tensorflow'],10.0,10.0,https://pypi.org/project/matchzoo,2019-10-24 13:09:11.000,,115.0,115.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n531,MMLSpark,microsoft/SynapseML,distributed-ml,,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000,2022-04-21 02:57:37.000000,2022-04-19 22:21:56,1104.0,78.0,638,133.0,949.0,231.0,323.0,3270,Simple and Distributed Machine Learning.,87.0,24,True,2022-01-12 22:42:34.000,0.9.5,23.0,mmlspark,,,,['spark'],,,https://pypi.org/project/mmlspark,2020-03-18 01:27:31.000,,7.0,7.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n532,Chartify,spotify/chartify,data-viz,,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05.000,2022-01-31 12:20:49.000000,2021-02-05 18:49:02,195.0,,281,84.0,65.0,41.0,31.0,3131,Python library that makes it easy for data scientists to create charts.,21.0,24,False,2020-11-02 22:14:08.000,3.0.3,16.0,chartify,conda-forge/chartify,,,,67.0,62.0,https://pypi.org/project/chartify,2020-11-02 22:14:08.000,5.0,1787.0,2239.0,https://anaconda.org/conda-forge/chartify,2020-11-07 19:52:50.628,18537.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n533,tensorflow-graphics,tensorflow/graphics,image,,https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44.000,2022-04-04 20:19:08.000000,2022-04-04 20:19:03,753.0,6.0,338,89.0,525.0,131.0,90.0,2610,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,36.0,24,True,2021-12-03 22:33:39.000,2021.12.3,25.0,tensorflow-graphics,,,,['tensorflow'],4.0,,https://pypi.org/project/tensorflow-graphics,2021-12-03 22:33:39.000,4.0,3297.0,3297.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n534,DeepVariant,google/deepvariant,medical-data,,https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000,2022-03-07 13:08:05.000000,2022-01-28 17:30:19,1842.0,1.0,602,159.0,52.0,4.0,478.0,2480,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,21.0,24,True,2021-12-10 07:12:31.000,1.3.0,17.0,,bioconda/deepvariant,,,['tensorflow'],,,,,,,853.0,https://anaconda.org/bioconda/deepvariant,2021-12-16 06:56:52.044,39785.0,,,,,3.0,3846.0,,,,,,,,,,,,,,,,,,,\n535,knockknock,huggingface/knockknock,ml-experiments,,https://github.com/huggingface/knockknock,https://github.com/huggingface/knockknock,MIT,2019-03-20 13:08:55.000,2022-03-13 06:54:07.000000,2020-03-16 04:26:47,75.0,,199,57.0,37.0,14.0,23.0,2409,Knock Knock: Get notified when your training ends with only two additional lines of code.,18.0,24,False,2020-03-04 04:15:47.000,0.1.8,10.0,knockknock,conda-forge/knockknock,,,,290.0,287.0,https://pypi.org/project/knockknock,2020-03-16 14:30:23.000,3.0,2627.0,2917.0,https://anaconda.org/conda-forge/knockknock,2020-03-17 01:52:16.317,8704.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n536,python_speech_features,jameslyons/python_speech_features,audio,,https://github.com/jameslyons/python_speech_features,https://github.com/jameslyons/python_speech_features,MIT,2013-10-31 02:42:08.000,2021-10-20 10:08:48.000000,2020-12-31 13:27:01,120.0,,593,87.0,29.0,23.0,51.0,2073,This library provides common speech features for ASR including MFCCs and filterbank energies.,19.0,24,False,2020-01-14 14:12:10.000,0.6.1,6.0,python_speech_features,,,,,161.0,,https://pypi.org/project/python_speech_features,2017-08-16 01:46:13.000,161.0,100478.0,100478.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n537,pytorch-nlp,PetrochukM/PyTorch-NLP,nlp,,https://github.com/PetrochukM/PyTorch-NLP,https://github.com/PetrochukM/PyTorch-NLP,BSD-3-Clause,2018-02-25 05:00:36.000,2022-01-22 00:08:57.000000,2021-07-10 15:56:42,447.0,,247,57.0,55.0,18.0,49.0,2049,Basic Utilities for PyTorch Natural Language Processing (NLP).,18.0,24,True,2019-11-04 05:16:00.000,0.5.0,19.0,pytorch-nlp,,,,['pytorch'],378.0,361.0,https://pypi.org/project/pytorch-nlp,2019-11-04 04:35:18.000,17.0,6850.0,6850.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n538,PyFlux,RJT1990/pyflux,time-series-data,,https://github.com/RJT1990/pyflux,https://github.com/RJT1990/pyflux,BSD-3-Clause,2016-02-16 20:12:02.000,2019-03-19 10:45:02.000000,2018-12-16 15:30:13,118.0,,224,70.0,20.0,83.0,66.0,1961,Open source time series library for Python.,6.0,24,False,2017-11-21 16:27:06.000,0.4.16,35.0,pyflux,,,,,231.0,215.0,https://pypi.org/project/pyflux,2017-11-21 16:27:06.000,16.0,47875.0,47875.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n539,fast-bert,utterworks/fast-bert,nlp,,https://github.com/utterworks/fast-bert,https://github.com/utterworks/fast-bert,Apache-2.0,2019-04-18 22:01:20.000,2022-04-12 10:28:24.000000,2022-04-12 10:28:11,317.0,11.0,334,41.0,63.0,152.0,94.0,1724,Super easy library for BERT based NLP models.,36.0,24,True,2022-04-12 10:28:24.000,2.0.3,53.0,fast-bert,,,,,2.0,,https://pypi.org/project/fast-bert,2022-04-12 10:28:24.000,2.0,1871.0,1871.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n540,Multicore-TSNE,DmitryUlyanov/Multicore-TSNE,data-viz,,https://github.com/DmitryUlyanov/Multicore-TSNE,https://github.com/DmitryUlyanov/Multicore-TSNE,BSD-3-Clause,2016-10-19 05:46:52.000,2021-11-09 17:22:51.512000,2020-08-19 14:58:00,113.0,,200,40.0,34.0,37.0,21.0,1701,Parallel t-SNE implementation with Python and Torch wrappers.,15.0,24,False,2017-11-08 13:32:20.000,0.0.1,3.0,MulticoreTSNE,conda-forge/multicore-tsne,,,['pytorch'],316.0,293.0,https://pypi.org/project/MulticoreTSNE,2019-01-09 07:23:04.000,23.0,10924.0,11251.0,https://anaconda.org/conda-forge/multicore-tsne,2021-11-09 17:22:51.512,13423.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n541,Fairness 360,Trusted-AI/AIF360,interpretability,,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15.000,2022-03-15 14:21:37.000000,2022-03-15 14:21:37,346.0,1.0,541,87.0,168.0,70.0,61.0,1696,\"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..\",48.0,24,True,2021-03-04 18:11:34.000,0.4.0,9.0,aif360,conda-forge/aif360,,,,161.0,153.0,https://pypi.org/project/aif360,2021-03-04 18:11:34.000,8.0,6121.0,6217.0,https://anaconda.org/conda-forge/aif360,2021-09-29 17:08:47.878,1830.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n542,modAL,modAL-python/modAL,others,,https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000,2022-04-07 20:49:55.000000,2021-01-07 09:40:40,648.0,,232,41.0,33.0,70.0,54.0,1666,A modular active learning framework for Python.,14.0,24,False,2021-01-07 09:47:49.000,0.4.1,12.0,modAL,,,,['sklearn'],131.0,124.0,https://pypi.org/project/modAL,2021-01-07 09:47:49.000,7.0,7562.0,7562.0,,,,,,,,3.0,20.0,,,,,,,,,,,,,,,,,,,\n543,TabNet,dreamquark-ai/tabnet,pytorch-utils,,https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000,2022-04-21 02:56:59.000000,2022-03-23 16:53:36,173.0,3.0,333,35.0,178.0,38.0,195.0,1664,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,19.0,24,True,2021-02-02 08:05:11.000,3.1.1,17.0,pytorch-tabnet,conda-forge/pytorch-tabnet,,,['pytorch'],7.0,,https://pypi.org/project/pytorch-tabnet,2021-02-02 08:05:11.000,7.0,16686.0,16769.0,https://anaconda.org/conda-forge/pytorch-tabnet,2021-12-30 20:05:02.340,333.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n544,bonobo,python-bonobo/bonobo,data-pipelines,,https://github.com/python-bonobo/bonobo,https://github.com/python-bonobo/bonobo,Apache-2.0,2016-12-09 04:03:23.000,2022-04-06 18:44:11.000000,2021-03-10 15:44:00,981.0,,125,59.0,236.0,95.0,108.0,1505,Extract Transform Load for Python 3.5+.,37.0,24,False,2019-05-16 13:19:48.000,0.6.4,38.0,bonobo,,,http://docs.bonobo-project.org/en/master/,,163.0,130.0,https://pypi.org/project/bonobo,2019-07-20 13:33:19.000,33.0,5977.0,5977.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n545,garage,rlworkgroup/garage,reinforcement-learning,,https://github.com/rlworkgroup/garage,https://github.com/rlworkgroup/garage,MIT,2018-06-10 21:31:23.000,2022-04-17 08:31:26.000000,2022-04-17 08:31:26,1219.0,2.0,255,52.0,1308.0,205.0,802.0,1431,A toolkit for reproducible reinforcement learning research.,78.0,24,True,2021-03-23 22:18:36.000,2021.3.0,21.0,garage,,,,['tensorflow'],38.0,36.0,https://pypi.org/project/garage,2021-03-23 22:18:36.000,2.0,385.0,385.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n546,fklearn,nubank/fklearn,ml-frameworks,,https://github.com/nubank/fklearn,https://github.com/nubank/fklearn,Apache-2.0,2019-02-27 14:32:57.000,2022-04-18 15:14:20.000000,2022-04-18 15:14:20,138.0,4.0,157,87.0,150.0,22.0,22.0,1393,fklearn: Functional Machine Learning.,43.0,24,True,2021-12-30 01:18:22.000,2.0.0,24.0,fklearn,,,,,12.0,12.0,https://pypi.org/project/fklearn,2021-12-30 01:18:22.000,,5384.0,5384.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n547,gplearn,trevorstephens/gplearn,others,,https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14.000,2022-02-15 16:29:36.000000,2021-10-18 05:33:29,148.0,,194,51.0,77.0,49.0,130.0,1126,\"Genetic Programming in Python, with a scikit-learn inspired API.\",11.0,24,True,2019-06-01 02:04:52.000,0.4.1,6.0,gplearn,conda-forge/gplearn,,,['sklearn'],249.0,239.0,https://pypi.org/project/gplearn,2019-06-01 02:04:52.000,10.0,4478.0,4571.0,https://anaconda.org/conda-forge/gplearn,2020-06-18 15:08:21.371,2061.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n548,TaskTiger,closeio/tasktiger,data-pipelines,,https://github.com/closeio/tasktiger,https://github.com/closeio/tasktiger,MIT,2015-05-14 00:26:32.000,2022-04-11 10:01:03.000000,2022-03-31 18:40:56,285.0,12.0,62,43.0,162.0,33.0,35.0,1112,Python task queue using Redis.,25.0,24,True,2021-12-02 17:42:13.000,0.16,26.0,tasktiger,,,,,32.0,22.0,https://pypi.org/project/tasktiger,2021-12-02 18:08:25.000,10.0,1313.0,1313.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n549,Streamz,python-streamz/streamz,time-series-data,,https://github.com/python-streamz/streamz,https://github.com/python-streamz/streamz,BSD-3-Clause,2017-04-04 21:45:49.000,2021-12-31 19:41:11.000000,2021-12-24 18:36:59,781.0,,133,32.0,210.0,103.0,145.0,1052,Real-time stream processing for python.,45.0,24,True,2021-10-04 14:47:39.000,0.6.3,16.0,streamz,conda-forge/streamz,,,,316.0,287.0,https://pypi.org/project/streamz,2021-10-04 14:47:39.000,29.0,12800.0,17760.0,https://anaconda.org/conda-forge/streamz,2021-10-04 16:06:59.119,272832.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n550,Labml,labmlai/labml,ml-experiments,,https://github.com/labmlai/labml,https://github.com/labmlai/labml,MIT,2018-11-16 09:34:48.000,2022-04-08 07:17:59.000000,2022-04-08 07:17:13,1201.0,26.0,75,28.0,59.0,16.0,12.0,1050,Monitor deep learning model training and hardware usage from your mobile phone.,6.0,24,True,2022-04-08 07:17:59.000,0.4.147,123.0,labml,,,,,50.0,44.0,https://pypi.org/project/labml,2022-04-08 07:17:59.000,6.0,3641.0,3641.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n551,DALEX,ModelOriented/DALEX,interpretability,,https://github.com/ModelOriented/DALEX,https://github.com/ModelOriented/DALEX,GPL-3.0,2018-02-18 03:24:12.000,2022-03-25 19:01:53.000000,2022-03-25 19:01:51,616.0,18.0,130,45.0,149.0,13.0,333.0,1034,moDel Agnostic Language for Exploration and eXplanation.,20.0,24,False,2021-11-08 12:22:11.000,1.4.1,23.0,dalex,conda-forge/dalex,,,,39.0,36.0,https://pypi.org/project/dalex,2021-11-08 12:22:11.000,3.0,10870.0,11076.0,https://anaconda.org/conda-forge/dalex,2021-07-17 15:59:19.192,3096.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n552,stockstats,jealous/stockstats,financial-data,,https://github.com/jealous/stockstats,https://github.com/jealous/stockstats,BSD-3-Clause,2016-06-05 15:21:22.000,2022-01-07 14:52:00.000000,2022-01-07 14:51:56,41.0,,256,52.0,34.0,8.0,77.0,985,Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.,8.0,24,True,2022-01-07 11:43:24.000,0.4.1,16.0,stockstats,,,,,470.0,441.0,https://pypi.org/project/stockstats,2022-01-07 11:43:24.000,29.0,8789.0,8789.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n553,cuGraph,rapidsai/cugraph,gpu-utilities,,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000,2022-04-21 14:42:11.000000,2022-04-20 19:10:34,5276.0,134.0,186,43.0,1432.0,109.0,696.0,982,cuGraph - RAPIDS Graph Analytics Library.,82.0,24,True,2022-04-06 17:09:08.000,22.04.00,18.0,cugraph,conda-forge/libcugraph,,,,1.0,,https://pypi.org/project/cugraph,2020-06-01 20:09:06.000,1.0,231.0,778.0,https://anaconda.org/conda-forge/libcugraph,2021-04-29 03:53:20.856,6570.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n554,torch-scatter,rusty1s/pytorch_scatter,pytorch-utils,,https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23.000,2022-04-04 17:59:21.000000,2022-03-25 09:21:45,1004.0,34.0,108,14.0,36.0,23.0,232.0,958,PyTorch Extension Library of Optimized Scatter Operations.,19.0,24,True,2021-10-22 11:01:13.000,2.0.9,29.0,torch-scatter,conda-forge/pytorch_scatter,,,['pytorch'],43.0,,https://pypi.org/project/torch-scatter,2021-10-22 11:01:13.000,43.0,30502.0,33789.0,https://anaconda.org/conda-forge/pytorch_scatter,2022-03-21 15:08:01.652,72335.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n555,whylogs,whylabs/whylogs,data-pipelines,,https://github.com/whylabs/whylogs,https://github.com/whylabs/whylogs,Apache-2.0,2020-08-14 23:25:32.000,2022-04-20 19:42:38.000000,2022-04-20 19:42:37,946.0,74.0,50,22.0,397.0,67.0,81.0,949,Open standard for end-to-end data and ML monitoring for any scale in any infrastructure.,29.0,24,True,2022-04-19 17:53:46.000,0.7.5,135.0,whylogs,,,,,2.0,,https://pypi.org/project/whylogs,2022-04-19 17:56:39.000,2.0,9329.0,9331.0,,,,,,,,3.0,50.0,,,,,,,,,,,,,,,,,,,\n556,scikit-cuda,lebedov/scikit-cuda,gpu-utilities,,https://github.com/lebedov/scikit-cuda,https://github.com/lebedov/scikit-cuda,BSD-3-Clause,2010-09-27 02:02:07.000,2022-03-31 14:08:20.000000,2022-03-31 14:08:20,1034.0,2.0,171,47.0,111.0,50.0,168.0,885,Python interface to GPU-powered libraries.,46.0,24,True,2019-05-27 00:29:00.000,0.5.3,7.0,scikit-cuda,,,,,223.0,179.0,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00.000,44.0,588.0,588.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n557,gmaps,pbugnion/gmaps,geospatial-data,,https://github.com/pbugnion/gmaps,https://github.com/pbugnion/gmaps,BSD-3-Clause,2014-12-01 09:12:06.000,2022-04-15 13:31:22.000000,2019-07-22 06:22:45,1380.0,,146,26.0,154.0,67.0,136.0,734,Google maps for Jupyter notebooks.,16.0,24,False,2019-07-21 08:49:48.715,0.9.0,95.0,gmaps,conda-forge/gmaps,,,['jupyter'],45.0,1.0,https://pypi.org/project/gmaps,2021-12-15 15:42:57.506,44.0,9853.0,15455.0,https://anaconda.org/conda-forge/gmaps,2019-08-02 11:56:50.940,255318.0,,,,,3.0,,,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715,,1275.0,,,,,,,,,,,,\n558,imodels,csinva/imodels,interpretability,,https://github.com/csinva/imodels,https://github.com/csinva/imodels,MIT,2019-07-04 15:38:48.000,2022-04-21 05:23:36.000000,2022-04-19 14:59:18,591.0,78.0,70,23.0,77.0,8.0,22.0,725,\"Interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible).\",10.0,24,True,2022-04-16 16:22:51.000,1.2.6,22.0,imodels,,,,,12.0,12.0,https://pypi.org/project/imodels,2022-04-16 16:22:51.000,,2367.0,2367.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n559,PyTorch Sparse,rusty1s/pytorch_sparse,pytorch-utils,,https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53.000,2022-04-20 23:33:51.000000,2022-04-20 06:08:40,671.0,20.0,86,12.0,48.0,32.0,143.0,619,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,24.0,24,True,2022-03-11 15:20:49.000,0.6.13,25.0,torch-sparse,conda-forge/pytorch_sparse,,,['pytorch'],37.0,,https://pypi.org/project/torch-sparse,2022-03-11 15:20:49.000,37.0,25895.0,29647.0,https://anaconda.org/conda-forge/pytorch_sparse,2022-04-06 03:31:02.094,82544.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n560,Neuraxle,Neuraxio/Neuraxle,hyperopt,,https://github.com/Neuraxio/Neuraxle,https://github.com/Neuraxio/Neuraxle,Apache-2.0,2019-03-26 21:01:54.000,2022-04-19 03:49:21.000000,2022-04-19 03:49:10,1710.0,58.0,53,19.0,210.0,80.0,236.0,514,The worlds cleanest AutoML framework - Do hyperparameter tuning with the right pipeline abstractions to write clean..,7.0,24,True,2022-04-15 23:19:03.000,0.7.0,23.0,neuraxle,,,,,32.0,31.0,https://pypi.org/project/neuraxle,2022-04-15 21:08:21.000,1.0,636.0,636.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n561,TensorFlow Cloud,tensorflow/cloud,tensorflow-utils,,https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59.000,2022-03-24 17:54:54.000000,2022-03-24 17:54:49,569.0,2.0,67,23.0,305.0,55.0,26.0,323,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,27.0,24,True,2021-06-17 01:15:10.000,0.1.16,19.0,tensorflow-cloud,,,,['tensorflow'],138.0,137.0,https://pypi.org/project/tensorflow-cloud,2021-06-17 01:15:10.000,1.0,191426.0,191426.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n562,whoosh,mchaput/whoosh,nlp,,https://github.com/mchaput/whoosh,https://github.com/mchaput/whoosh,BSD-1-Clause,2015-04-17 19:34:47.000,2022-03-14 21:30:23.000000,2022-01-15 18:08:37,1718.0,,39,9.0,8.0,15.0,2.0,214,Pure-Python full-text search library.,42.0,24,False,2016-04-04 01:19:40.000,2.7.4,141.0,whoosh,conda-forge/whoosh,,,,3658.0,,https://pypi.org/project/whoosh,2016-04-04 01:19:40.000,3658.0,174128.0,175581.0,https://anaconda.org/conda-forge/whoosh,2021-11-05 17:24:41.315,95915.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n563,mace,XiaoMi/mace,ml-frameworks,,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12.000,2022-04-16 16:42:13.000000,2022-02-11 11:53:32,3328.0,2.0,789,231.0,106.0,44.0,613.0,4604,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,63.0,23,True,2022-01-13 09:55:14.000,1.1.1,12.0,,,,,,,,,,,,31.0,,,,,,,,3.0,1404.0,,,,,,,,,,,,,,,,,,,\n564,deep-daze,lucidrains/deep-daze,image,,https://github.com/lucidrains/deep-daze,https://github.com/lucidrains/deep-daze,MIT,2021-01-17 06:00:50.000,2022-03-13 19:09:50.000000,2022-03-13 19:08:59,231.0,2.0,302,73.0,37.0,89.0,73.0,4160,Simple command line tool for text to image generation using OpenAIs CLIP and Siren (Implicit neural representation..,13.0,23,True,2022-03-13 19:09:50.000,0.11.1,67.0,deep-daze,,,,,37.0,37.0,https://pypi.org/project/deep-daze,2022-03-13 19:09:50.000,,2396.0,2396.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n565,neon,NervanaSystems/neon,ml-frameworks,,https://github.com/NervanaSystems/neon,https://github.com/NervanaSystems/neon,Apache-2.0,2014-10-16 01:00:17.000,2022-03-05 07:01:42.664000,2019-05-22 18:27:54,1118.0,,832,333.0,89.0,90.0,306.0,3862,Intel Nervana reference deep learning framework committed to best performance on all hardware.,108.0,23,False,2018-01-05 23:25:04.000,2.6.0,32.0,nervananeon,anaconda/neon,,,,1.0,,https://pypi.org/project/nervananeon,2018-01-05 23:25:04.000,1.0,50.0,67.0,https://anaconda.org/anaconda/neon,2022-03-05 07:01:42.664,1003.0,,,,,3.0,325.0,,,,,,,,,,,,,,,,,,,\n566,Image Super-Resolution,idealo/image-super-resolution,image,,https://github.com/idealo/image-super-resolution,https://github.com/idealo/image-super-resolution,Apache-2.0,2018-11-26 13:41:13.000,2022-01-23 11:27:35.000000,2021-06-02 09:45:13,150.0,,615,98.0,32.0,88.0,109.0,3527,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,10.0,23,True,2020-01-08 15:37:35.000,2.2.0,11.0,ISR,,idealo/image-super-resolution-gpu,,['tensorflow'],86.0,81.0,https://pypi.org/project/ISR,2020-01-08 15:37:35.000,5.0,4751.0,4756.0,,,,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,,207.0,3.0,,,,,,,,,,,,,,,,,,,,\n567,LIT,PAIR-code/lit,interpretability,,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000,2022-04-21 06:14:24.000000,2022-03-15 12:13:11,507.0,1.0,297,73.0,605.0,63.0,65.0,2898,The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and..,18.0,23,True,2021-12-21 14:29:03.000,0.4.1,7.0,lit-nlp,conda-forge/lit-nlp,,,,10.0,10.0,https://pypi.org/project/lit-nlp,2021-12-21 14:20:06.000,,1283.0,3040.0,https://anaconda.org/conda-forge/lit-nlp,2021-11-09 18:19:30.401,33385.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n568,Luminoth,tryolabs/luminoth,image,,https://github.com/tryolabs/luminoth,https://github.com/tryolabs/luminoth,BSD-3-Clause,2017-02-16 15:07:46.000,2022-02-10 01:50:51.000000,2020-01-07 20:53:25,838.0,,413,132.0,131.0,60.0,128.0,2389,Deep Learning toolkit for Computer Vision.,15.0,23,False,2018-11-09 21:35:17.000,0.2.3,10.0,luminoth,,,,['tensorflow'],42.0,40.0,https://pypi.org/project/luminoth,2018-11-09 21:35:17.000,2.0,913.0,1142.0,,,,,,,,3.0,12377.0,,,,,,,,,,,,,,,,,,,\n569,Kashgari,BrikerMan/Kashgari,nlp,,https://github.com/BrikerMan/Kashgari,https://github.com/BrikerMan/Kashgari,Apache-2.0,2019-01-19 01:53:28.000,2021-07-09 03:57:16.000000,2021-07-09 03:57:16,955.0,,434,67.0,122.0,38.0,328.0,2292,Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-..,21.0,23,True,2021-07-04 10:44:36.000,2.0.2,24.0,kashgari-tf,,,,['tensorflow'],52.0,50.0,https://pypi.org/project/kashgari-tf,2019-10-18 07:57:55.000,2.0,111.0,111.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n570,SRU,asappresearch/sru,pytorch-utils,,https://github.com/asappresearch/sru,https://github.com/asappresearch/sru,MIT,2017-08-28 20:37:41.000,2022-01-04 21:17:53.000000,2021-05-19 15:52:48,400.0,,299,68.0,78.0,55.0,67.0,2038,Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755).,21.0,23,True,2021-05-18 16:13:10.000,2.6.0,32.0,sru,,,,['pytorch'],21.0,18.0,https://pypi.org/project/sru,2021-06-17 23:33:37.000,3.0,2317.0,2317.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n571,Sweetviz,fbdesignpro/sweetviz,data-viz,,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47.000,2022-04-09 02:14:46.000000,2021-07-08 14:31:20,102.0,,196,48.0,11.0,27.0,71.0,1990,\"Visualize and compare datasets, target values and associations, with one line of code.\",6.0,23,True,2021-07-08 14:32:09.000,2.1.3,31.0,sweetviz,conda-forge/sweetviz,,,,5.0,,https://pypi.org/project/sweetviz,2021-07-08 14:32:09.000,5.0,78755.0,79419.0,https://anaconda.org/conda-forge/sweetviz,2021-07-09 00:00:54.236,9305.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n572,Torchmeta,tristandeleu/pytorch-meta,pytorch-utils,,https://github.com/tristandeleu/pytorch-meta,https://github.com/tristandeleu/pytorch-meta,MIT,2018-12-04 23:36:45.000,2022-01-10 12:07:24.000000,2021-09-20 16:03:46,382.0,,201,39.0,30.0,41.0,89.0,1605,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.,12.0,23,True,2021-09-20 16:06:33.000,1.8.0,28.0,torchmeta,,,,['pytorch'],88.0,88.0,https://pypi.org/project/torchmeta,2021-09-20 16:06:33.000,,1535.0,1535.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n573,Karate Club,benedekrozemberczki/karateclub,graph,,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56.000,2022-01-28 14:45:25.910000,2022-01-22 19:25:00,2206.0,3.0,185,38.0,18.0,,72.0,1579,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,13.0,23,False,2022-01-22 19:35:55.000,_10203,102.0,karateclub,conda-forge/karateclub,,,,84.0,82.0,https://pypi.org/project/karateclub,2022-01-22 19:34:31.000,2.0,3138.0,3537.0,https://anaconda.org/conda-forge/karateclub,2022-01-28 14:45:25.910,8389.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n574,auto_ml,ClimbsRocks/auto_ml,hyperopt,,https://github.com/ClimbsRocks/auto_ml,https://github.com/ClimbsRocks/auto_ml,MIT,2016-08-07 21:35:08.000,2021-02-10 07:52:35.000000,2018-03-25 19:46:25,1149.0,,299,95.0,45.0,185.0,216.0,1569,[UNMAINTAINED] Automated machine learning for analytics & production.,13.0,23,False,2018-02-22 01:13:03.000,2.9.10,78.0,auto_ml,,,,,3.0,,https://pypi.org/project/auto_ml,2018-02-22 01:13:03.000,3.0,2653.0,2653.0,,,,,,,,3.0,38.0,,,,,,,,,,,,,,,,,,,\n575,sklearn-contrib-lightning,scikit-learn-contrib/lightning,sklearn-utils,,https://github.com/scikit-learn-contrib/lightning,https://github.com/scikit-learn-contrib/lightning,BSD-3-Clause,2012-01-11 13:53:52.000,2022-01-30 01:28:10.000000,2022-01-30 01:22:30,743.0,7.0,198,38.0,110.0,51.0,42.0,1543,\"Large-scale linear classification, regression and ranking in Python.\",17.0,23,True,2022-01-30 01:10:13.000,0.6.2.post0,12.0,sklearn-contrib-lightning,conda-forge/sklearn-contrib-lightning,,,['sklearn'],107.0,101.0,https://pypi.org/project/sklearn-contrib-lightning,2022-01-30 00:43:43.000,6.0,2359.0,4742.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2021-11-13 15:37:21.493,162930.0,,,,,3.0,225.0,,,,,,,,,,,,,,,,,,,\n576,Magnitude,plasticityai/magnitude,nn-search,,https://github.com/plasticityai/magnitude,https://github.com/plasticityai/magnitude,MIT,2018-02-24 07:28:16.000,2021-02-23 18:10:43.000000,2020-07-17 20:19:46,350.0,,105,37.0,9.0,30.0,51.0,1512,\"A fast, efficient universal vector embedding utility package.\",4.0,23,False,2020-05-25 11:26:36.000,0.1.143,128.0,pymagnitude,,,,,233.0,222.0,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36.000,11.0,3373.0,3373.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n577,EfficientNets,rwightman/gen-efficientnet-pytorch,pytorch-utils,,https://github.com/rwightman/gen-efficientnet-pytorch,https://github.com/rwightman/gen-efficientnet-pytorch,Apache-2.0,2019-05-11 19:35:56.000,2021-07-08 19:05:05.000000,2021-07-08 19:03:55,108.0,,194,44.0,11.0,2.0,51.0,1462,\"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.\",5.0,23,True,2021-07-08 19:05:05.000,1.0.2,10.0,geffnet,,,,['pytorch'],101.0,100.0,https://pypi.org/project/geffnet,2021-07-08 19:05:05.000,1.0,14650.0,14650.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n578,Higher,facebookresearch/higher,pytorch-utils,,https://github.com/facebookresearch/higher,https://github.com/facebookresearch/higher,Apache-2.0,2019-09-06 18:58:36.000,2022-03-25 15:56:51.000000,2021-10-26 07:08:33,31.0,,98,29.0,31.0,49.0,50.0,1377,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,9.0,23,True,2020-07-14 12:20:32.000,0.2.1,2.0,higher,,,,['pytorch'],134.0,132.0,https://pypi.org/project/higher,2020-07-14 12:20:32.000,2.0,10060.0,10060.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n579,sense2vec,explosion/sense2vec,nlp,,https://github.com/explosion/sense2vec,https://github.com/explosion/sense2vec,MIT,2016-01-23 22:15:49.000,2021-08-16 11:44:51.000000,2021-08-16 11:44:51,454.0,,219,44.0,41.0,19.0,88.0,1365,Contextually-keyed word vectors.,17.0,23,True,2021-04-19 07:05:28.000,3.0.0,22.0,sense2vec,conda-forge/sense2vec,,,,143.0,135.0,https://pypi.org/project/sense2vec,2021-04-19 07:05:28.000,8.0,3450.0,4825.0,https://anaconda.org/conda-forge/sense2vec,2021-07-14 13:20:19.752,24651.0,,,,,3.0,27866.0,,,,,,,,,,,,,,,,,,,\n580,Pypeline,cgarciae/pypeln,data-pipelines,,https://github.com/cgarciae/pypeln,https://github.com/cgarciae/pypeln,MIT,2018-09-01 13:43:31.000,2022-04-02 05:56:31.000000,2022-01-06 15:29:14,238.0,,80,37.0,35.0,15.0,43.0,1329,Concurrent data pipelines in Python .,12.0,23,True,2022-01-06 15:32:49.000,0.4.9,36.0,pypeln,conda-forge/pypeln,,,,9.0,,https://pypi.org/project/pypeln,2022-01-06 15:32:39.000,9.0,9362.0,9632.0,https://anaconda.org/conda-forge/pypeln,2022-01-06 18:29:36.168,5684.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n581,MLBox,AxeldeRomblay/MLBox,hyperopt,,https://github.com/AxeldeRomblay/MLBox,https://github.com/AxeldeRomblay/MLBox,BSD-1-Clause,2017-06-01 16:59:24.000,2022-02-10 00:14:04.000000,2020-08-25 09:26:27,1121.0,,262,64.0,44.0,18.0,74.0,1309,MLBox is a powerful Automated Machine Learning python library.,9.0,23,False,2020-08-25 09:32:37.000,0.8.5,21.0,mlbox,,,,,28.0,28.0,https://pypi.org/project/mlbox,2020-08-25 09:32:37.000,,2073.0,2073.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n582,graph4nlp,graph4ai/graph4nlp,graph,,https://github.com/graph4ai/graph4nlp,https://github.com/graph4ai/graph4nlp,Apache-2.0,2020-07-16 03:28:48.000,2022-04-13 15:03:05.000000,2022-03-30 20:35:32,1935.0,13.0,157,25.0,411.0,18.0,125.0,1263,Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website..,26.0,23,True,2022-01-20 18:07:32.000,0.5.5,11.0,graph4nlp,,,,['pytorch'],,,https://pypi.org/project/graph4nlp,2022-01-20 15:18:44.000,,110.0,110.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n583,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,pytorch-utils,,https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000,2022-03-14 19:18:54.000000,2022-03-14 19:18:49,830.0,10.0,93,26.0,47.0,6.0,21.0,1228,PyTorch extensions for fast R&D prototyping and Kaggle farming.,7.0,23,True,2022-03-10 21:22:46.000,0.5.0,23.0,pytorch_toolbelt,,,,['pytorch'],6.0,,https://pypi.org/project/pytorch_toolbelt,2022-03-10 21:22:46.000,6.0,7278.0,7278.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n584,Sockeye,awslabs/sockeye,nlp,,https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30.000,2022-04-21 10:38:35.000000,2022-04-21 10:38:32,804.0,21.0,310,49.0,758.0,8.0,272.0,1064,Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch.,56.0,23,True,2022-04-12 07:27:33.000,3.1.10,78.0,sockeye,,,,['mxnet'],2.0,,https://pypi.org/project/sockeye,2022-04-12 07:27:33.000,2.0,619.0,619.0,,,,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,,\n585,CrypTen,facebookresearch/CrypTen,privacy-ml,,https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000,2022-04-13 14:56:33.000000,2022-04-13 14:55:32,329.0,12.0,168,34.0,239.0,24.0,121.0,1043,A framework for Privacy Preserving Machine Learning.,28.0,23,True,2021-09-09 15:15:11.000,0.4.0,2.0,crypten,,,,['pytorch'],17.0,17.0,https://pypi.org/project/crypten,2021-09-09 15:15:11.000,,240.0,240.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n586,ChainerRL,chainer/chainerrl,reinforcement-learning,,https://github.com/chainer/chainerrl,https://github.com/chainer/chainerrl,MIT,2017-01-30 04:58:15.000,2021-08-10 18:25:48.000000,2021-04-17 06:02:30,3471.0,,212,73.0,415.0,75.0,147.0,1042,ChainerRL is a deep reinforcement learning library built on top of Chainer.,29.0,23,True,2020-02-14 05:35:56.000,0.8.0,10.0,chainerrl,,,,,125.0,117.0,https://pypi.org/project/chainerrl,2020-02-14 05:35:56.000,8.0,385.0,385.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n587,advertorch,BorealisAI/advertorch,adversarial,,https://github.com/BorealisAI/advertorch,https://github.com/BorealisAI/advertorch,GPL-3.0,2018-11-29 22:17:33.000,2022-04-16 03:54:14.000000,2022-04-16 03:52:00,299.0,11.0,168,31.0,56.0,19.0,33.0,1040,A Toolbox for Adversarial Robustness Research.,21.0,23,False,2020-06-15 01:20:07.000,0.2.3,10.0,advertorch,,,,['pytorch'],75.0,71.0,https://pypi.org/project/advertorch,2020-06-15 01:20:07.000,4.0,750.0,750.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n588,rubrix,recognai/rubrix,nlp,,https://github.com/recognai/rubrix,https://github.com/recognai/rubrix,Apache-2.0,2021-04-28 14:37:42.000,2022-04-21 13:08:20.000000,2022-04-21 12:16:31,970.0,227.0,84,14.0,855.0,59.0,461.0,990,\"Rubrix, open-source framework for data-centric NLP. Data annotation and monitoring for enterprise NLP.\",19.0,23,True,2022-04-12 14:27:13.000,0.13.2,59.0,rubrix,conda-forge/rubrix,,,,,,https://pypi.org/project/rubrix,2022-04-12 14:27:13.000,,958.0,1139.0,https://anaconda.org/conda-forge/rubrix,2022-04-12 17:13:39.959,726.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n589,tf-explain,sicara/tf-explain,interpretability,,https://github.com/sicara/tf-explain,https://github.com/sicara/tf-explain,MIT,2019-07-15 08:26:24.000,2022-03-21 12:24:16.000000,2021-11-30 09:54:40,206.0,,95,51.0,94.0,39.0,51.0,918,Interpretability Methods for tf.keras models with Tensorflow 2.x.,16.0,23,True,2021-11-18 20:57:29.000,0.3.1,8.0,tf-explain,,,,['tensorflow'],117.0,111.0,https://pypi.org/project/tf-explain,2021-11-18 20:57:29.000,6.0,1663.0,1663.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n590,calamari,Calamari-OCR/calamari,ocr,,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,Apache-2.0,2018-03-20 15:22:29.000,2022-03-28 18:37:59.000000,2022-03-28 18:36:16,435.0,14.0,190,55.0,72.0,46.0,197.0,907,Line based ATR Engine based on OCRopy.,19.0,23,True,2022-03-21 11:52:48.000,2.2.2,34.0,calamari_ocr,,,,,2.0,,https://pypi.org/project/calamari_ocr,2018-11-13 11:24:45.000,2.0,1341.0,1341.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n591,GPUtil,anderskm/gputil,gpu-utilities,,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43.000,2020-10-01 05:42:49.000000,2019-08-16 09:00:15,140.0,,92,11.0,17.0,12.0,14.0,851,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,13.0,23,False,2018-12-18 09:12:13.000,1.4.0,8.0,gputil,,,,,2068.0,1972.0,https://pypi.org/project/gputil,2018-12-18 09:12:13.000,96.0,740608.0,740608.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n592,kapre,keunwoochoi/kapre,audio,,https://github.com/keunwoochoi/kapre,https://github.com/keunwoochoi/kapre,MIT,2016-12-14 18:36:36.000,2022-01-21 20:10:47.000000,2022-01-21 20:08:28,194.0,,140,21.0,44.0,12.0,82.0,819,kapre: Keras Audio Preprocessors.,13.0,23,True,2022-01-21 20:10:47.000,Kapre-0.3.7,23.0,kapre,,,,['tensorflow'],1525.0,1511.0,https://pypi.org/project/kapre,2022-01-21 20:09:21.000,14.0,3312.0,3312.0,,,,,,,,3.0,22.0,,,,,,,,,,,,,,,,,,,\n593,YouTokenToMe,vkcom/youtokentome,nlp,,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28.000,2022-04-18 21:14:28.476000,2021-01-28 19:04:09,79.0,,59,23.0,42.0,28.0,23.0,803,Unsupervised text tokenizer focused on computational efficiency.,6.0,23,False,2020-02-13 09:57:47.000,1.0.6,14.0,youtokentome,conda-forge/youtokentome,,,,259.0,244.0,https://pypi.org/project/youtokentome,2020-02-12 18:24:46.000,15.0,32289.0,33207.0,https://anaconda.org/conda-forge/youtokentome,2022-04-18 21:14:28.476,6426.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n594,RLax,deepmind/rlax,reinforcement-learning,,https://github.com/deepmind/rlax,https://github.com/deepmind/rlax,Apache-2.0,2020-02-18 07:14:59.000,2022-04-13 16:07:51.000000,2022-04-12 23:32:31,157.0,12.0,61,28.0,54.0,12.0,12.0,781,A library of reinforcement learning building blocks in JAX.,17.0,23,True,2022-02-24 15:27:59.000,0.1.2,7.0,rlax,,,,['jax'],45.0,44.0,https://pypi.org/project/rlax,2022-02-24 15:27:59.000,1.0,5356.0,5356.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n595,AutoViz,AutoViML/AutoViz,data-viz,,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06.000,2022-04-13 14:37:27.861000,2022-04-05 13:49:45,131.0,8.0,104,28.0,16.0,3.0,48.0,680,\"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..\",12.0,23,True,2022-04-05 13:50:19.000,0.1.38,50.0,autoviz,conda-forge/autoviz,,,,165.0,159.0,https://pypi.org/project/autoviz,2022-04-05 13:50:19.000,6.0,52363.0,52830.0,https://anaconda.org/conda-forge/autoviz,2022-04-13 14:37:27.861,3739.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n596,pdpipe,pdpipe/pdpipe,data-pipelines,,https://github.com/pdpipe/pdpipe,https://github.com/pdpipe/pdpipe,MIT,2017-01-24 20:37:22.000,2022-04-16 02:17:29.578000,2022-03-13 13:15:26,394.0,16.0,34,17.0,44.0,13.0,30.0,668,Easy pipelines for pandas DataFrames.,10.0,23,True,2022-03-13 14:29:49.000,0.2.3,78.0,pdpipe,conda-forge/pdpipe,,,['pandas'],45.0,40.0,https://pypi.org/project/pdpipe,2022-03-13 14:29:17.000,5.0,1579.0,1797.0,https://anaconda.org/conda-forge/pdpipe,2022-04-16 02:17:29.578,3713.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n597,pickleDB,patx/pickledb,data-containers,,https://github.com/patx/pickledb,https://github.com/patx/pickledb,BSD-3-Clause,2011-10-28 00:04:40.000,2022-02-10 09:36:27.000000,2019-11-15 03:38:30,105.0,,109,12.0,30.0,22.0,40.0,655,pickleDB is an open source key-value store using Pythons json module.,12.0,23,False,2019-01-14 18:48:25.000,0.9.2,20.0,pickledb,,,,,971.0,888.0,https://pypi.org/project/pickledb,2019-01-14 18:48:25.000,83.0,17955.0,17955.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n598,Mapbox GL,mapbox/mapboxgl-jupyter,geospatial-data,,https://github.com/mapbox/mapboxgl-jupyter,https://github.com/mapbox/mapboxgl-jupyter,MIT,2017-08-08 15:10:51.000,2022-01-11 05:18:07.000000,2021-04-19 05:00:36,221.0,,126,110.0,91.0,35.0,67.0,605,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,21.0,23,True,2019-06-03 21:24:10.000,0.10.2,20.0,mapboxgl,,,,['jupyter'],146.0,132.0,https://pypi.org/project/mapboxgl,2019-06-02 15:18:57.000,14.0,11082.0,11082.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n599,combo,yzhao062/combo,sklearn-utils,,https://github.com/yzhao062/combo,https://github.com/yzhao062/combo,BSD-2-Clause,2019-07-14 01:13:36.000,2022-04-02 16:20:07.000000,2021-10-02 13:57:52,207.0,,99,27.0,1.0,11.0,3.0,576,(AAAI 20) A Python Toolbox for Machine Learning Model Combination.,1.0,23,True,2022-04-02 16:20:07.000,0.1.3,13.0,combo,,,,\"['sklearn', 'xgboost']\",459.0,456.0,https://pypi.org/project/combo,2022-04-02 16:20:07.000,3.0,29246.0,29246.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n600,Poutyne,GRAAL-Research/poutyne,pytorch-utils,,https://github.com/GRAAL-Research/poutyne,https://github.com/GRAAL-Research/poutyne,LGPL-3.0,2017-12-07 18:30:17.000,2022-03-29 14:25:35.000000,2022-03-18 21:25:03,688.0,45.0,60,16.0,104.0,8.0,43.0,517,A simplified framework and utilities for PyTorch.,17.0,23,False,2022-03-15 21:42:46.000,1.10.1,28.0,poutyne,,,,['pytorch'],88.0,83.0,https://pypi.org/project/poutyne,2022-03-15 21:43:12.000,5.0,5009.0,5009.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n601,pivottablejs,nicolaskruchten/jupyter_pivottablejs,data-viz,,https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,MIT,2015-09-09 13:39:18.000,2022-03-05 07:02:00.731000,2018-12-04 14:43:25,32.0,,63,21.0,7.0,17.0,40.0,463,\"Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js.\",3.0,23,False,2018-01-15 18:14:37.000,0.9.0,10.0,pivottablejs,anaconda/pivottablejs,,,['jupyter'],252.0,230.0,https://pypi.org/project/pivottablejs,2018-01-15 18:14:37.000,22.0,11678.0,11693.0,https://anaconda.org/anaconda/pivottablejs,2022-03-05 07:02:00.731,1178.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n602,BioPandas,rasbt/biopandas,others,,https://github.com/rasbt/biopandas,https://github.com/rasbt/biopandas,BSD-3-Clause,2015-11-21 00:00:14.000,2022-04-13 00:55:05.000000,2022-04-13 00:55:05,202.0,35.0,96,15.0,54.0,17.0,25.0,447,Working with molecular structures in pandas DataFrames.,10.0,23,True,2022-04-07 03:06:27.000,0.3.0,15.0,biopandas,conda-forge/biopandas,,,['pandas'],112.0,98.0,https://pypi.org/project/biopandas,2022-04-07 03:06:27.000,14.0,5766.0,7371.0,https://anaconda.org/conda-forge/biopandas,2021-08-31 18:19:35.536,102768.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n603,pySBD,nipunsadvilkar/pySBD,nlp,,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20.000,2022-03-09 20:20:37.000000,2021-02-11 16:40:18,279.0,,52,11.0,44.0,13.0,50.0,434,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,6.0,23,False,2021-02-11 16:42:37.000,0.3.4,15.0,pysbd,conda-forge/pysbd,,,,325.0,322.0,https://pypi.org/project/pysbd,2021-02-11 16:36:33.000,3.0,44254.0,44302.0,https://anaconda.org/conda-forge/pysbd,2021-10-11 20:47:46.408,288.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n604,equinox,patrick-kidger/equinox,jax-utils,,https://github.com/patrick-kidger/equinox,https://github.com/patrick-kidger/equinox,Apache-2.0,2021-07-29 02:21:39.000,2022-04-21 15:13:04.000000,2022-04-08 15:29:25,261.0,145.0,24,14.0,38.0,9.0,23.0,426,Callable PyTrees and filtered JIT/grad transformations = neural networks in JAX.,5.0,23,True,2022-04-08 09:55:42.000,0.4.0,17.0,equinox,,,,['jax'],16.0,14.0,https://pypi.org/project/equinox,2022-04-08 09:55:42.000,2.0,1410.0,1410.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n605,Towhee,towhee-io/towhee,ml-frameworks,,https://github.com/towhee-io/towhee,https://github.com/towhee-io/towhee,Apache-2.0,2021-07-13 08:28:50.000,2022-04-21 15:12:50.000000,2022-04-21 09:27:41,525.0,302.0,83,12.0,799.0,39.0,274.0,411,Towhee is a framework that helps you encode your unstructured data into embeddings.,24.0,23,True,2022-03-30 12:28:44.000,0.5.1,11.0,towhee,,,,,,,https://pypi.org/project/towhee,2022-03-30 12:28:44.000,,500.0,500.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n606,NIPY,nipy/nipy,medical-data,,https://github.com/nipy/nipy,https://github.com/nipy/nipy,BSD-3-Clause,2010-05-02 10:00:33.000,2021-12-05 02:53:17.000000,2021-03-29 16:56:48,6427.0,,130,36.0,341.0,45.0,111.0,321,Neuroimaging in Python FMRI analysis package.,63.0,23,False,2018-02-19 14:14:08.000,0.4.2,6.0,nipy,conda-forge/nipy,,,,47.0,,https://pypi.org/project/nipy,2018-02-19 14:14:08.000,47.0,1755.0,3350.0,https://anaconda.org/conda-forge/nipy,2020-05-04 19:38:04.112,90955.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n607,happy-transformer,EricFillion/happy-transformer,nlp,,https://github.com/EricFillion/happy-transformer,https://github.com/EricFillion/happy-transformer,Apache-2.0,2019-10-06 22:02:12.000,2022-04-12 09:25:58.000000,2022-02-06 06:56:50,963.0,5.0,33,5.0,192.0,12.0,84.0,284,A package built on top of Hugging Faces transformers library that makes it easy to utilize state-of-the-art NLP models.,13.0,23,False,2022-02-06 06:58:53.000,2.4.1,39.0,happytransformer,,,,['huggingface'],51.0,50.0,https://pypi.org/project/happytransformer,2022-02-06 06:54:52.000,1.0,8429.0,8429.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n608,gokart,m3dev/gokart,ml-experiments,,https://github.com/m3dev/gokart,https://github.com/m3dev/gokart,MIT,2018-12-23 07:40:27.000,2022-04-02 08:39:07.000000,2022-03-28 07:29:05,461.0,10.0,43,22.0,211.0,14.0,54.0,246,\"Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning..\",32.0,23,False,2022-04-02 08:39:07.000,1.1.1,64.0,gokart,,,,,4.0,,https://pypi.org/project/gokart,2022-04-02 08:39:07.000,4.0,1718.0,1718.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n609,MONAILabel,Project-MONAI/MONAILabel,others,,https://github.com/Project-MONAI/MONAILabel,https://github.com/Project-MONAI/MONAILabel,Apache-2.0,2021-03-26 15:25:10.000,2022-04-18 20:39:51.000000,2022-04-18 20:39:50,594.0,90.0,56,15.0,447.0,49.0,202.0,227,MONAI Label is an intelligent open source image labeling and learning tool.,23.0,23,False,2022-02-28 16:50:02.000,0.3.2,41.0,monailabel-weekly,,,,,,,https://pypi.org/project/monailabel-weekly,2022-04-17 02:42:12.000,,836.0,1609.0,,,,,,,,3.0,6964.0,,,,,,,,,,,,,,,,,,,\n610,featurewiz,AutoViML/featurewiz,hyperopt,,https://github.com/AutoViML/featurewiz,https://github.com/AutoViML/featurewiz,Apache-2.0,2020-11-29 16:46:16.000,2022-04-21 12:21:45.000000,2022-04-21 12:20:43,198.0,50.0,46,2.0,2.0,,28.0,212,Use advanced feature engineering strategies and select best features from your data set with a single line of code.,4.0,23,False,2022-04-21 12:21:45.000,0.1.32,96.0,featurewiz,,,,,10.0,9.0,https://pypi.org/project/featurewiz,2022-04-21 12:21:45.000,1.0,8674.0,8674.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n611,DeepSpeech,mozilla/DeepSpeech,audio,,https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53.000,2021-07-30 19:01:32.000000,,,,3312,,,119.0,,18335,\"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..\",142.0,22,True,2020-12-10 17:22:09.000,0.9.3,100.0,deepspeech,conda-forge/deepspeech,,,['tensorflow'],35.0,,https://pypi.org/project/deepspeech,2020-12-19 10:05:12.000,35.0,12249.0,12297.0,https://anaconda.org/conda-forge/deepspeech,2021-07-29 19:26:04.079,434.0,,,,,3.0,,,-12.0,,,,,,,,,,,,,,,,,\n612,TTS,mozilla/TTS,audio,,https://github.com/mozilla/TTS,https://github.com/mozilla/TTS,MPL-2.0,2018-01-23 14:22:06.000,2022-04-01 08:01:45.000000,2021-02-12 10:36:31,2184.0,,897,158.0,209.0,13.0,519.0,5841,Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts).,56.0,22,False,2021-01-29 00:03:56.000,0.0.9,1.0,,,,,,,,,,,,140.0,,,,,,,,3.0,2102.0,,,,,,,,,,,,,,,,,,,\n613,Dejavu,worldveil/dejavu,audio,,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35.000,2020-10-29 17:40:17.000000,2020-06-03 05:58:03,146.0,,1273,262.0,64.0,84.0,129.0,5710,Audio fingerprinting and recognition in Python.,23.0,22,False,2015-04-19 21:20:16.000,0.1.3,4.0,PyDejavu,,,,,25.0,22.0,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16.000,3.0,91.0,91.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n614,Image Deduplicator,idealo/imagededup,image,,https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54.000,2021-12-28 20:14:53.000000,2020-11-23 17:40:40,460.0,,355,60.0,73.0,40.0,59.0,4016,Finding duplicate images made easy!.,10.0,22,False,2020-11-23 17:55:24.000,0.2.4,9.0,imagededup,,,,['tensorflow'],26.0,24.0,https://pypi.org/project/imagededup,2020-11-22 21:09:36.000,2.0,2127.0,2127.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n615,Crypto Signals,CryptoSignal/crypto-signal,financial-data,,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24.000,2022-03-20 21:23:35.000000,2021-06-28 16:44:17,564.0,,1024,302.0,195.0,54.0,205.0,3961,\"Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 3,100+ stars, 900+ forks.\",28.0,22,True,,,,,,shadowreaver/crypto-signal,,,,,,,,,2581.0,,,,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133,7.0,141969.0,3.0,,,,,,,,,,,,,,,,,,,,\n616,ReAgent,facebookresearch/ReAgent,reinforcement-learning,,https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000,2022-04-20 20:56:12.000000,2022-04-20 20:54:19,1433.0,42.0,434,143.0,528.0,41.0,75.0,3168,\"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).\",128.0,22,True,2020-01-27 22:06:00.000,0.0.0,2.0,reagent,,,,['pytorch'],,,https://pypi.org/project/reagent,2020-05-27 20:58:01.000,,24.0,24.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n617,TRFL,deepmind/trfl,reinforcement-learning,,https://github.com/deepmind/trfl,https://github.com/deepmind/trfl,Apache-2.0,2018-08-08 14:44:11.000,2021-08-16 12:19:16.000000,2021-08-16 11:45:18,123.0,,377,212.0,8.0,6.0,16.0,3122,TensorFlow Reinforcement Learning.,13.0,22,True,2021-08-16 12:19:16.000,1.2.0,5.0,trfl,,,,['tensorflow'],79.0,76.0,https://pypi.org/project/trfl,2021-08-16 12:19:16.000,3.0,5876.0,5876.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n618,tf-quant-finance,google/tf-quant-finance,financial-data,,https://github.com/google/tf-quant-finance,https://github.com/google/tf-quant-finance,Apache-2.0,2019-07-24 16:09:50.000,2022-04-21 11:46:57.000000,2022-04-21 11:46:54,871.0,32.0,413,161.0,32.0,21.0,21.0,3051,High-performance TensorFlow library for quantitative finance.,39.0,22,True,,,26.0,tf-quant-finance,,,,['tensorflow'],2.0,,https://pypi.org/project/tf-quant-finance,2022-01-07 21:15:09.000,2.0,973.0,973.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n619,NLP Architect,IntelLabs/nlp-architect,nlp,,https://github.com/IntelLabs/nlp-architect,https://github.com/IntelLabs/nlp-architect,Apache-2.0,2018-05-17 21:00:13.000,2022-03-12 00:52:09.000000,2021-09-12 08:29:06,954.0,,437,167.0,110.0,21.0,112.0,2812,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,37.0,22,True,2020-11-17 12:32:37.000,0.5.5.1,13.0,nlp-architect,,,,,8.0,8.0,https://pypi.org/project/nlp-architect,2020-04-12 11:34:38.000,,180.0,180.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n620,dpark,douban/dpark,data-pipelines,,https://github.com/douban/dpark,https://github.com/douban/dpark,BSD-3-Clause,2012-04-11 08:35:06.000,2020-12-25 10:36:06.000000,2020-12-25 10:36:05,1467.0,,554,266.0,30.0,,60.0,2679,\"Python clone of Spark, a MapReduce alike framework in Python.\",35.0,22,False,2018-07-27 04:11:36.000,0.5.0,19.0,dpark,,,,['spark'],6.0,5.0,https://pypi.org/project/dpark,2018-07-27 04:11:36.000,1.0,94.0,94.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n621,StreamAlert,airbnb/streamalert,others,,https://github.com/airbnb/streamalert,https://github.com/airbnb/streamalert,Apache-2.0,2017-01-22 01:10:56.000,2022-04-12 23:20:33.000000,2021-11-04 18:52:02,1900.0,,322,105.0,989.0,85.0,257.0,2676,\"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data..\",33.0,22,True,2021-11-04 19:07:51.000,3.5.0,28.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n622,PandasGUI,adamerose/pandasgui,data-viz,,https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT-0,2019-06-12 02:19:42.000,2022-03-16 17:52:29.000000,2022-03-16 17:52:29,715.0,2.0,172,52.0,31.0,39.0,115.0,2611,A GUI for Pandas DataFrames.,13.0,22,False,2021-08-14 09:14:51.000,0.2.13,43.0,pandasgui,conda-forge/pandasgui,,,['pandas'],153.0,148.0,https://pypi.org/project/pandasgui,2021-08-14 09:14:51.000,5.0,4336.0,5012.0,https://anaconda.org/conda-forge/pandasgui,2021-02-13 06:39:51.463,10146.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n623,Texthero,jbesomi/texthero,nlp,,https://github.com/jbesomi/texthero,https://github.com/jbesomi/texthero,MIT,2020-04-06 15:16:05.000,2021-07-19 13:56:08.000000,2021-07-19 13:56:08,269.0,,211,45.0,105.0,76.0,59.0,2488,\"Text preprocessing, representation and visualization from zero to hero.\",18.0,22,True,2021-07-01 17:11:02.000,1.1.0,10.0,texthero,,,,,4.0,,https://pypi.org/project/texthero,2021-07-01 17:11:02.000,4.0,12751.0,12754.0,,,,,,,,3.0,89.0,,,,,,,,,,,,,,,,,,,\n624,Texar,asyml/texar,nlp,,https://github.com/asyml/texar,https://github.com/asyml/texar,Apache-2.0,2017-07-22 19:02:05.000,2021-08-26 09:49:50.000000,2020-07-29 00:38:30,1719.0,,360,78.0,144.0,33.0,126.0,2273,\"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the..\",43.0,22,False,2019-11-19 04:11:18.000,0.2.4,6.0,texar,,,,['tensorflow'],21.0,19.0,https://pypi.org/project/texar,2019-11-19 04:11:18.000,2.0,81.0,81.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n625,lightseq,bytedance/lightseq,nlp,,https://github.com/bytedance/lightseq,https://github.com/bytedance/lightseq,Apache-2.0,2019-12-06 08:25:24.000,2022-04-21 11:12:05.000000,2022-04-21 07:03:37,196.0,15.0,221,45.0,135.0,92.0,76.0,2094,LightSeq: A High Performance Library for Sequence Processing and Generation.,9.0,22,True,2021-11-30 07:39:10.000,2.2.1,19.0,lightseq,,,,,,,https://pypi.org/project/lightseq,2022-01-26 08:26:27.000,,784.0,805.0,,,,,,,,3.0,603.0,,,,,,,,,,,,,,,,,,,\n626,BlazingSQL,BlazingDB/blazingsql,gpu-utilities,,https://github.com/BlazingDB/blazingsql,https://github.com/BlazingDB/blazingsql,Apache-2.0,2018-09-24 18:25:45.000,2022-03-08 21:17:32.000000,2021-09-30 21:51:09,8208.0,,169,50.0,894.0,129.0,586.0,1735,\"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.\",49.0,22,True,2021-08-16 15:40:43.000,21.08.00,19.0,,blazingsql/blazingsql-protocol,,,,,,,,,,30.0,https://anaconda.org/blazingsql/blazingsql-protocol,2019-11-11 19:54:17.621,940.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n627,AmpliGraph,Accenture/AmpliGraph,graph,,https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05.000,2021-09-24 18:27:27.000000,2021-05-25 16:49:48,947.0,,200,60.0,58.0,21.0,181.0,1726,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,19.0,22,True,2021-05-25 16:57:42.000,1.4.0,12.0,ampligraph,,,,['tensorflow'],18.0,18.0,https://pypi.org/project/ampligraph,2021-05-25 16:47:29.000,,997.0,997.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n628,reformer-pytorch,lucidrains/reformer-pytorch,pytorch-utils,,https://github.com/lucidrains/reformer-pytorch,https://github.com/lucidrains/reformer-pytorch,MIT,2020-01-09 20:42:37.000,2021-11-06 23:09:00.000000,2021-11-06 23:08:22,245.0,,231,53.0,32.0,13.0,104.0,1723,\"Reformer, the efficient Transformer, in Pytorch.\",10.0,22,True,2021-11-06 23:09:00.000,1.4.4,139.0,reformer-pytorch,,,,['pytorch'],,,https://pypi.org/project/reformer-pytorch,2021-11-06 23:09:00.000,,16518.0,16518.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n629,FinTA,peerchemist/finta,financial-data,,https://github.com/peerchemist/finta,https://github.com/peerchemist/finta,LGPL-3.0,2016-09-01 21:02:46.000,2021-10-19 18:06:53.000000,2021-10-19 18:06:53,392.0,,497,77.0,46.0,19.0,63.0,1539,Common financial technical indicators implemented in Pandas.,27.0,22,False,2021-04-03 08:51:49.000,1.3,19.0,finta,,,,,188.0,182.0,https://pypi.org/project/finta,2020-10-21 11:39:44.000,6.0,6654.0,6654.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n630,lore,instacart/lore,ml-experiments,,https://github.com/instacart/lore,https://github.com/instacart/lore,MIT,2017-10-19 21:51:45.000,2022-04-11 17:21:50.000000,2022-04-11 17:21:50,273.0,3.0,128,102.0,149.0,26.0,19.0,1538,Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers.,26.0,22,True,2022-02-02 23:30:10.000,0.8.5,232.0,lore,,,,,20.0,19.0,https://pypi.org/project/lore,2022-02-02 23:30:10.000,1.0,584.0,584.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n631,FARM,deepset-ai/FARM,nlp,,https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12.000,2021-11-23 16:56:58.000000,2021-11-23 16:56:58,592.0,,216,54.0,441.0,38.0,396.0,1504,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,37.0,22,True,2021-06-10 09:45:12.000,0.8.0,24.0,farm,conda-forge/farm,,,['pytorch'],2.0,,https://pypi.org/project/farm,2021-06-10 09:41:53.000,2.0,4271.0,4353.0,https://anaconda.org/conda-forge/farm,2021-06-14 12:34:06.874,995.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n632,Classy Vision,facebookresearch/ClassyVision,image,,https://github.com/facebookresearch/ClassyVision,https://github.com/facebookresearch/ClassyVision,MIT,2019-09-13 22:54:44.000,2022-04-20 22:17:57.000000,2022-04-20 21:58:24,406.0,9.0,253,50.0,714.0,53.0,61.0,1439,An end-to-end PyTorch framework for image and video classification.,74.0,22,True,2021-07-19 20:08:51.000,0.6.0,17.0,classy_vision,conda-forge/classy_vision,,,['pytorch'],2.0,,https://pypi.org/project/classy_vision,2021-07-09 22:58:06.000,2.0,2674.0,3118.0,https://anaconda.org/conda-forge/classy_vision,2022-03-22 13:12:30.498,12008.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n633,anaGo,Hironsan/anago,nlp,,https://github.com/Hironsan/anago,https://github.com/Hironsan/anago,MIT,2017-06-26 21:28:36.000,2022-02-11 02:30:49.000000,2021-04-01 12:34:50,298.0,,363,65.0,39.0,37.0,72.0,1438,\"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.\",11.0,22,True,2018-07-17 01:59:21.000,1.0.8,14.0,anago,,,,['tensorflow'],34.0,29.0,https://pypi.org/project/anago,2018-07-17 01:59:21.000,5.0,647.0,647.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n634,TNT,pytorch/tnt,ml-experiments,,https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58.000,2021-01-22 09:14:29.000000,2021-01-05 19:36:17,156.0,,190,45.0,79.0,30.0,35.0,1385,\"Simple tools for logging and visualizing, loading and training.\",35.0,22,False,2019-11-15 12:57:59.000,0.0.5.1,3.0,torchnet,,,,['pytorch'],36.0,,https://pypi.org/project/torchnet,2018-07-29 23:16:03.000,36.0,7305.0,7305.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n635,Norfair,tryolabs/norfair,image,,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000,2022-04-19 20:21:46.000000,2022-04-19 20:16:58,324.0,39.0,123,32.0,50.0,18.0,39.0,1340,Lightweight Python library for adding real-time object tracking to any detector.,12.0,22,True,2022-04-19 20:21:46.000,0.4.3,14.0,norfair,,,,,1.0,,https://pypi.org/project/norfair,2022-04-19 20:21:46.000,1.0,3539.0,3542.0,,,,,,,,3.0,60.0,,,,,,,,,,,,,,,,,,,\n636,DLTK,DLTK/DLTK,medical-data,,https://github.com/DLTK/DLTK,https://github.com/DLTK/DLTK,Apache-2.0,2017-05-02 15:40:36.000,2022-04-01 09:38:04.000000,2019-01-21 14:01:28,379.0,,388,102.0,29.0,11.0,24.0,1303,Deep Learning Toolkit for Medical Image Analysis.,9.0,22,False,2018-02-26 17:43:57.000,0.2.1,5.0,dltk,,,,['tensorflow'],23.0,23.0,https://pypi.org/project/dltk,2018-02-26 17:43:57.000,,170.0,170.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n637,tensorrec,jfkirk/tensorrec,recommender-systems,,https://github.com/jfkirk/tensorrec,https://github.com/jfkirk/tensorrec,Apache-2.0,2017-02-28 18:51:11.000,2022-03-11 23:26:22.000000,2020-02-04 21:10:25,334.0,,222,65.0,46.0,36.0,90.0,1183,A TensorFlow recommendation algorithm and framework in Python.,9.0,22,False,2019-04-02 00:53:47.000,0.26.2,30.0,tensorrec,,,,['tensorflow'],29.0,26.0,https://pypi.org/project/tensorrec,2019-04-02 00:53:47.000,3.0,641.0,641.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n638,keras-ocr,faustomorales/keras-ocr,ocr,,https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50.000,2022-03-28 18:06:12.000000,2022-03-28 18:06:12,188.0,4.0,253,42.0,37.0,64.0,106.0,1004,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,14.0,22,True,2021-11-24 10:05:08.000,0.8.9,29.0,keras-ocr,anaconda/keras-ocr,,,['tensorflow'],2.0,,https://pypi.org/project/keras-ocr,2021-11-24 10:05:08.000,2.0,6136.0,19130.0,https://anaconda.org/anaconda/keras-ocr,2022-01-14 10:29:35.968,23.0,,,,,3.0,246880.0,,,,,,,,,,,,,,,,,,,\n639,PFRL,pfnet/pfrl,reinforcement-learning,,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50.000,2022-03-14 08:29:44.000000,2022-03-14 08:29:44,406.0,17.0,112,99.0,110.0,27.0,39.0,820,PFRL: a PyTorch-based deep reinforcement learning library.,16.0,22,True,2021-07-07 02:43:23.000,0.3.0,5.0,pfrl,,,,,41.0,40.0,https://pypi.org/project/pfrl,2021-07-07 02:48:20.000,1.0,3757.0,3757.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n640,Prince,MaxHalford/prince,others,,https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000,2021-12-28 17:01:09.000000,2021-12-28 17:01:09,209.0,,137,20.0,22.0,36.0,68.0,786,\"Python factor analysis library (PCA, CA, MCA, MFA, FAMD).\",12.0,22,True,2020-10-06 11:26:47.000,0.7.1,41.0,prince,conda-forge/prince-factor-analysis,,,['sklearn'],203.0,198.0,https://pypi.org/project/prince,2020-10-06 11:26:47.000,5.0,51659.0,51988.0,https://anaconda.org/conda-forge/prince-factor-analysis,2021-04-30 17:46:15.443,9568.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n641,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,data-viz,,https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14.000,2022-03-25 13:49:39.000000,2022-03-25 13:48:28,300.0,9.0,98,23.0,28.0,30.0,66.0,770,Bokeh Plotting Backend for Pandas and GeoPandas.,14.0,22,True,2021-04-11 17:43:13.000,0.5.5,16.0,pandas-bokeh,,,,['pandas'],11.0,,https://pypi.org/project/pandas-bokeh,2021-04-11 17:43:13.000,11.0,10954.0,10954.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n642,TreeInterpreter,andosa/treeinterpreter,interpretability,,https://github.com/andosa/treeinterpreter,https://github.com/andosa/treeinterpreter,BSD-3-Clause,2015-08-02 20:26:21.000,2021-02-28 18:33:06.000000,2021-02-28 18:33:06,37.0,,135,26.0,17.0,24.0,4.0,702,Package for interpreting scikit-learns decision tree and random forest predictions.,11.0,22,False,2021-01-10 20:12:39.000,0.2.3,5.0,treeinterpreter,conda-forge/treeinterpreter,,,['sklearn'],239.0,229.0,https://pypi.org/project/treeinterpreter,2021-01-10 20:12:39.000,10.0,187650.0,187708.0,https://anaconda.org/conda-forge/treeinterpreter,2020-10-03 05:29:07.840,1050.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n643,Objax,google/objax,ml-frameworks,,https://github.com/google/objax,https://github.com/google/objax,Apache-2.0,2020-08-20 06:20:40.000,2022-03-18 16:32:35.000000,2022-03-18 16:32:35,431.0,9.0,59,26.0,142.0,45.0,59.0,686,Objax is a machine learning framework that provides an Object Oriented layer for JAX.,22.0,22,True,2022-02-01 00:17:20.000,1.6.0,9.0,objax,,,,['jax'],21.0,19.0,https://pypi.org/project/objax,2022-01-31 23:28:27.000,2.0,314.0,314.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n644,PDPbox,SauceCat/PDPbox,data-viz,,https://github.com/SauceCat/PDPbox,https://github.com/SauceCat/PDPbox,MIT,2017-06-26 08:01:54.000,2021-06-24 15:32:01.000000,2021-03-14 16:01:01,227.0,,111,18.0,23.0,23.0,38.0,672,python partial dependence plot toolbox.,7.0,22,False,2021-03-14 16:21:17.000,0.2.1,3.0,pdpbox,conda-forge/pdpbox,,,,517.0,491.0,https://pypi.org/project/pdpbox,2021-03-14 16:21:17.000,26.0,24930.0,25271.0,https://anaconda.org/conda-forge/pdpbox,2021-03-14 19:37:51.465,11276.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n645,vecstack,vecxoz/vecstack,others,,https://github.com/vecxoz/vecstack,https://github.com/vecxoz/vecstack,MIT,2016-11-08 13:23:21.000,2021-05-23 07:15:46.567000,2019-10-30 09:27:48,189.0,,76,21.0,12.0,,38.0,655,Python package for stacking (machine learning technique).,1.0,22,False,2019-08-12 16:09:01.000,0.4.0,6.0,vecstack,conda-forge/vecstack,,,,201.0,194.0,https://pypi.org/project/vecstack,2019-08-12 16:01:22.000,7.0,8162.0,8202.0,https://anaconda.org/conda-forge/vecstack,2021-05-23 07:15:46.567,447.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n646,iterative-stratification,trent-b/iterative-stratification,sklearn-utils,,https://github.com/trent-b/iterative-stratification,https://github.com/trent-b/iterative-stratification,BSD-3-Clause,2018-02-04 00:32:10.000,2021-11-11 01:20:14.000000,2021-11-11 01:20:14,55.0,,59,7.0,4.0,4.0,15.0,641,scikit-learn cross validators for iterative stratification of multilabel data.,6.0,22,True,2021-10-03 18:49:49.000,0.1.7,6.0,iterative-stratification,,,,['sklearn'],211.0,203.0,https://pypi.org/project/iterative-stratification,2021-10-03 18:49:49.000,8.0,795830.0,795830.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n647,Torchbearer,pytorchbearer/torchbearer,ml-frameworks,,https://github.com/pytorchbearer/torchbearer,https://github.com/pytorchbearer/torchbearer,MIT,2018-03-12 16:30:42.000,2021-03-26 19:56:57.000000,2021-03-26 19:56:57,430.0,,68,28.0,422.0,8.0,237.0,628,torchbearer: A model fitting library for PyTorch.,13.0,22,False,2020-01-31 14:07:22.000,0.5.3,24.0,torchbearer,,,,['pytorch'],64.0,60.0,https://pypi.org/project/torchbearer,2020-01-31 14:05:56.000,4.0,1581.0,1581.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n648,Submit it,facebookincubator/submitit,distributed-ml,,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09.000,2022-04-20 22:00:26.000000,2022-04-07 20:41:18,110.0,10.0,61,22.0,73.0,19.0,41.0,607,Python 3.6+ toolbox for submitting jobs to Slurm.,19.0,22,True,2022-04-07 20:49:32.000,1.4.2,16.0,submitit,conda-forge/submitit,,,,6.0,,https://pypi.org/project/submitit,2022-04-07 20:49:32.000,6.0,20549.0,20830.0,https://anaconda.org/conda-forge/submitit,2021-02-10 12:48:57.745,5623.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n649,python-ternary,marcharper/python-ternary,data-viz,,https://github.com/marcharper/python-ternary,https://github.com/marcharper/python-ternary,MIT,2012-08-07 23:48:55.000,2022-03-26 13:04:37.000000,2022-02-27 03:35:23,394.0,1.0,132,14.0,70.0,27.0,94.0,541,Ternary plotting library for python with matplotlib.,27.0,22,True,2021-02-17 18:38:15.000,1.0.8,11.0,python-ternary,conda-forge/python-ternary,,,,109.0,88.0,https://pypi.org/project/python-ternary,2021-02-17 18:38:15.000,21.0,23102.0,23956.0,https://anaconda.org/conda-forge/python-ternary,2021-02-17 22:38:55.625,61508.0,,,,,3.0,17.0,,,,,,,,,,,,,,,,,,,\n650,HpBandSter,automl/HpBandSter,hyperopt,,https://github.com/automl/HpBandSter,https://github.com/automl/HpBandSter,BSD-3-Clause,2017-12-17 20:28:20.000,2021-01-31 10:05:37.000000,2019-03-26 09:26:28,187.0,,108,24.0,22.0,57.0,35.0,531,a distributed Hyperband implementation on Steroids.,11.0,22,False,2019-07-30 12:47:43.000,1.0,8.0,hpbandster,conda-forge/hpbandster,,,,227.0,217.0,https://pypi.org/project/hpbandster,2018-11-06 12:56:55.000,10.0,14062.0,14135.0,https://anaconda.org/conda-forge/hpbandster,2020-12-11 15:57:39.186,1180.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n651,SKLL,EducationalTestingService/skll,ml-experiments,,https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,BSD-1-Clause,2013-08-02 14:31:46.000,2021-12-29 21:39:23.000000,2021-12-21 20:03:06,3575.0,,65,47.0,318.0,32.0,365.0,527,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,37.0,22,False,2021-12-21 20:12:29.000,3.0,65.0,skll,conda-forge/skll,,,['sklearn'],53.0,35.0,https://pypi.org/project/skll,2021-12-21 20:08:55.000,18.0,328.0,426.0,https://anaconda.org/conda-forge/skll,2021-12-21 22:47:22.431,492.0,,,,,3.0,11.0,,,,,,,,,,,,,,,,,,,\n652,torch-cluster,rusty1s/pytorch_cluster,graph,,https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06.000,2022-04-20 09:04:08.000000,2022-04-20 09:04:06,570.0,6.0,93,11.0,28.0,13.0,86.0,507,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,20.0,22,True,2022-03-11 14:21:26.000,1.6.0,40.0,torch-cluster,conda-forge/pytorch_cluster,,,['pytorch'],27.0,,https://pypi.org/project/torch-cluster,2022-03-11 14:21:26.000,27.0,14822.0,16094.0,https://anaconda.org/conda-forge/pytorch_cluster,2022-04-06 04:21:04.529,29260.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n653,random-forest-importances,parrt/random-forest-importances,interpretability,,https://github.com/parrt/random-forest-importances,https://github.com/parrt/random-forest-importances,MIT,2018-03-22 19:20:13.000,2021-01-30 21:50:08.000000,2021-01-30 21:50:02,249.0,,116,22.0,18.0,6.0,28.0,500,Code to compute permutation and drop-column importances in Python scikit-learn models.,14.0,22,False,2021-01-28 23:23:17.000,1.3.7,22.0,rfpimp,,,,['sklearn'],100.0,95.0,https://pypi.org/project/rfpimp,2021-01-28 23:19:33.000,5.0,17220.0,17220.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n654,detoxify,unitaryai/detoxify,nlp,,https://github.com/unitaryai/detoxify,https://github.com/unitaryai/detoxify,Apache-2.0,2020-09-23 15:24:21.000,2022-04-20 18:27:18.000000,2022-04-20 18:27:18,200.0,10.0,44,11.0,20.0,17.0,17.0,412,Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using Pytorch..,6.0,22,True,2022-04-12 17:23:22.000,0.5.0,11.0,detoxify,,,,,80.0,78.0,https://pypi.org/project/detoxify,2022-04-12 17:23:22.000,2.0,4287.0,6666.0,,,,,,,,3.0,40455.0,,,,,,,,,,,,,,,,,,,\n655,MedPy,loli/medpy,medical-data,,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34.000,2022-04-01 10:01:45.000000,2020-05-01 15:25:38,324.0,,116,19.0,25.0,11.0,68.0,396,Medical image processing in Python.,14.0,22,False,2019-02-14 17:12:59.000,0.4.0,6.0,MedPy,conda-forge/medpy,,,,595.0,559.0,https://pypi.org/project/MedPy,2019-02-14 17:12:59.000,36.0,11071.0,11323.0,https://anaconda.org/conda-forge/medpy,2021-11-11 11:54:44.393,2523.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n656,Pandas Summary,polyaxon/datatile,data-containers,,https://github.com/polyaxon/datatile,https://github.com/polyaxon/datatile,Apache-2.0,2016-03-25 21:59:32.000,2022-04-15 13:39:29.000000,2022-04-15 13:39:23,40.0,11.0,41,10.0,8.0,7.0,7.0,394,\"A library for managing, validating, summarizing, and visualizing data.\",8.0,22,True,2021-11-25 22:52:42.000,0.2.0,10.0,pandas-summary,,,,['pandas'],57.0,,https://pypi.org/project/pandas-summary,2021-11-25 22:52:42.000,57.0,45959.0,45959.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n657,optunity,claesenm/optunity,hyperopt,,https://github.com/claesenm/optunity,https://github.com/claesenm/optunity,BSD-3-Clause,2014-05-28 17:29:11.000,2020-05-11 14:32:39.000000,2020-05-11 14:32:38,782.0,,73,24.0,9.0,48.0,48.0,381,optimization routines for hyperparameter tuning.,9.0,22,False,2015-09-30 05:02:00.000,1.1.1,6.0,optunity,,,,,90.0,76.0,https://pypi.org/project/optunity,2015-09-30 05:02:00.000,14.0,11092.0,11092.0,,,,,,,,3.0,67.0,,,,,,,,,,,,,,,,,,,\n658,Hyperactive,SimonBlanke/Hyperactive,hyperopt,,https://github.com/SimonBlanke/Hyperactive,https://github.com/SimonBlanke/Hyperactive,MIT,2018-11-01 08:53:30.000,2022-04-17 16:51:34.000000,2022-03-16 16:04:20,2077.0,15.0,32,10.0,6.0,6.0,39.0,381,An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.,4.0,22,True,2022-03-16 16:09:29.000,4.1.1,65.0,hyperactive,,,,,15.0,12.0,https://pypi.org/project/hyperactive,2022-03-16 16:09:29.000,3.0,585.0,587.0,,,,,,,,3.0,100.0,,,,,,,,,,,,,,,,,,,\n659,TimeSide,Parisson/TimeSide,audio,,https://github.com/Parisson/TimeSide,https://github.com/Parisson/TimeSide,AGPL-3.0,2011-11-21 21:48:08.000,2022-04-15 07:28:37.000000,2022-03-10 13:10:21,3593.0,23.0,56,26.0,73.0,64.0,150.0,318,Scalable audio processing framework written in Python with a RESTful API.,22.0,22,False,2020-11-27 09:33:19.000,0.9.6,27.0,TimeSide,,,,,30.0,16.0,https://pypi.org/project/TimeSide,2021-12-15 14:33:37.113,14.0,76.0,76.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n660,launchpad,deepmind/launchpad,distributed-ml,,https://github.com/deepmind/launchpad,https://github.com/deepmind/launchpad,Apache-2.0,2021-02-18 15:16:49.000,2022-04-19 10:40:47.000000,2022-04-19 10:40:02,278.0,55.0,21,17.0,2.0,2.0,19.0,264,Launchpad is a library that simplifies writing distributed programs and seamlessly launching them on a range of..,17.0,22,False,2022-04-15 21:03:04.000,0.5.1,8.0,dm-launchpad,,,,['tensorflow'],10.0,10.0,https://pypi.org/project/dm-launchpad,2022-04-15 21:03:04.000,,4559.0,4559.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n661,pysparkling,svenkreiss/pysparkling,data-pipelines,,https://github.com/svenkreiss/pysparkling,https://github.com/svenkreiss/pysparkling,MIT,2015-05-09 19:23:20.000,2021-10-31 16:40:25.000000,2021-02-22 17:29:11,1527.0,,45,6.0,136.0,7.0,21.0,245,A pure Python implementation of Apache Sparks RDD and DStream interfaces.,10.0,22,False,2021-01-10 21:15:26.000,0.6.1,68.0,pysparkling,conda-forge/pysparkling,,,,116.0,108.0,https://pypi.org/project/pysparkling,2021-01-10 21:15:26.000,8.0,14411.0,14476.0,https://anaconda.org/conda-forge/pysparkling,2021-03-23 19:51:42.850,847.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n662,pymap3d,geospace-code/pymap3d,geospatial-data,,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03.000,2022-03-31 05:39:36.588000,2022-03-30 17:38:25,671.0,7.0,67,13.0,17.0,2.0,32.0,242,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,11.0,22,False,2022-03-30 17:47:11.000,2.8.0,52.0,pymap3d,conda-forge/pymap3d,,,,15.0,,https://pypi.org/project/pymap3d,2022-03-30 17:47:11.000,15.0,36885.0,37669.0,https://anaconda.org/conda-forge/pymap3d,2022-03-31 05:39:36.588,19600.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n663,lkpy,lenskit/lkpy,recommender-systems,,https://github.com/lenskit/lkpy,https://github.com/lenskit/lkpy,MIT,2018-06-08 21:05:10.000,2022-03-11 23:10:26.423000,2022-03-11 23:05:56,2400.0,84.0,55,8.0,215.0,24.0,69.0,204,Python recommendation toolkit.,13.0,22,False,2022-03-11 17:33:42.000,0.14.1,22.0,lenskit,conda-forge/lenskit,,,,1.0,,https://pypi.org/project/lenskit,2022-03-11 17:34:02.000,1.0,2731.0,3236.0,https://anaconda.org/conda-forge/lenskit,2022-03-11 23:10:26.423,8600.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n664,py3nvml,fbcotter/py3nvml,gpu-utilities,,https://github.com/fbcotter/py3nvml,https://github.com/fbcotter/py3nvml,BSD-3-Clause,2016-11-21 01:07:37.000,2022-04-14 09:41:50.000000,2022-04-14 09:41:50,86.0,1.0,31,11.0,9.0,3.0,12.0,203,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,9.0,22,False,2021-11-22 14:30:25.000,0.2.7,14.0,py3nvml,conda-forge/py3nvml,,,,461.0,423.0,https://pypi.org/project/py3nvml,2021-11-22 14:30:25.000,38.0,103031.0,103964.0,https://anaconda.org/conda-forge/py3nvml,2021-11-19 20:12:42.962,25211.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n665,BatchFlow,analysiscenter/batchflow,data-pipelines,,https://github.com/analysiscenter/batchflow,https://github.com/analysiscenter/batchflow,Apache-2.0,2017-03-13 14:22:53.000,2022-04-19 17:19:29.000000,2022-02-17 12:38:42,4994.0,53.0,39,12.0,542.0,37.0,67.0,174,BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and..,30.0,22,False,2022-02-17 12:45:37.000,0.6.0,8.0,batchflow,,,,,2.0,2.0,https://pypi.org/project/batchflow,2022-02-17 12:45:37.000,,283.0,283.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n666,DeepMatcher,anhaidgroup/deepmatcher,nlp,,https://github.com/anhaidgroup/deepmatcher,https://github.com/anhaidgroup/deepmatcher,BSD-3-Clause,2017-12-01 19:01:11.000,2021-06-13 01:13:43.000000,2021-06-13 00:22:13,176.0,,1526,15.0,16.0,58.0,22.0,4154,Python package for performing Entity and Text Matching using Deep Learning.,7.0,21,True,2021-05-27 22:28:29.000,0.1.2,13.0,deepmatcher,,,,,18.0,18.0,https://pypi.org/project/deepmatcher,2021-06-13 01:13:24.000,,967.0,967.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n667,TensorWatch,microsoft/tensorwatch,ml-experiments,,https://github.com/microsoft/tensorwatch,https://github.com/microsoft/tensorwatch,MIT,2019-05-15 08:29:34.000,2021-04-13 09:44:02.000000,2021-01-15 19:46:05,112.0,,339,104.0,14.0,52.0,15.0,3217,\"Debugging, monitoring and visualization for Python Machine Learning and Data Science.\",13.0,21,False,2020-03-04 07:26:22.000,0.9.1,14.0,tensorwatch,,,,,80.0,74.0,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22.000,6.0,3085.0,3085.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n668,gpt-2-simple,minimaxir/gpt-2-simple,nlp,,https://github.com/minimaxir/gpt-2-simple,https://github.com/minimaxir/gpt-2-simple,MIT,2019-04-13 20:00:52.000,2022-02-18 19:18:27.000000,2021-10-18 01:45:21,143.0,,591,76.0,51.0,151.0,94.0,2909,Python package to easily retrain OpenAIs GPT-2 text-generating model on new texts.,18.0,21,True,2021-10-18 02:38:39.000,0.8.1,18.0,gpt-2-simple,,,,['tensorflow'],5.0,,https://pypi.org/project/gpt-2-simple,2021-10-18 01:47:20.000,5.0,4502.0,4510.0,,,,,,,,3.0,301.0,,,,,,,,,,,,,,,,,,,\n669,image-match,ProvenanceLabs/image-match,image,,https://github.com/ProvenanceLabs/image-match,https://github.com/ProvenanceLabs/image-match,Apache-2.0,2016-03-08 18:16:45.000,2022-04-18 18:47:44.000000,2021-09-21 13:07:59,405.0,,380,98.0,54.0,56.0,48.0,2718,Quickly search over billions of images.,19.0,21,True,2017-02-13 14:54:48.000,1.1.2,10.0,image_match,,,,,4.0,,https://pypi.org/project/image_match,2017-02-13 14:54:48.000,4.0,413.0,413.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n670,DeepWalk,phanein/deepwalk,graph,,https://github.com/phanein/deepwalk,https://github.com/phanein/deepwalk,GPL-3.0,2014-08-23 03:38:20.000,2021-09-16 12:01:08.000000,2020-04-02 01:05:35,46.0,,801,88.0,26.0,37.0,80.0,2422,DeepWalk - Deep Learning for Graphs.,10.0,21,False,2018-04-29 21:05:18.000,1.0.3,4.0,deepwalk,,,,,57.0,50.0,https://pypi.org/project/deepwalk,2018-04-29 21:05:18.000,7.0,2401.0,2401.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n671,hiddenlayer,waleedka/hiddenlayer,ml-experiments,,https://github.com/waleedka/hiddenlayer,https://github.com/waleedka/hiddenlayer,MIT,2018-05-18 22:34:51.000,2021-10-16 05:29:37.000000,2020-04-24 06:58:09,58.0,,228,46.0,11.0,48.0,34.0,1585,\"Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.\",6.0,21,False,2018-12-03 04:33:29.000,0.2,3.0,hiddenlayer,,,,\"['pytorch', 'tensorflow', 'jupyter']\",114.0,105.0,https://pypi.org/project/hiddenlayer,2020-04-24 07:32:11.000,9.0,2498.0,2498.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n672,DELTA,Delta-ML/delta,nlp,,https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57.000,2022-02-09 23:26:38.000000,2020-12-17 06:57:15,932.0,,293,66.0,189.0,5.0,74.0,1508,DELTA is a deep learning based natural language and speech processing platform.,41.0,21,False,2020-07-16 09:31:45.000,0.3.3,4.0,delta-nlp,,zh794390558/delta,,['tensorflow'],,,https://pypi.org/project/delta-nlp,2020-03-27 04:46:19.000,,42.0,415.0,,,,https://hub.docker.com/r/zh794390558/delta,2021-08-03 14:50:00.516864,,13077.0,3.0,,,,,,,,,,,,,,,,,,,,\n673,jiant,nyu-mll/jiant,nlp,,https://github.com/nyu-mll/jiant,https://github.com/nyu-mll/jiant,MIT,2018-06-18 18:12:47.000,2022-03-31 22:22:08.000000,2022-03-31 22:22:07,1924.0,2.0,267,45.0,792.0,64.0,485.0,1394,jiant is an nlp toolkit.,57.0,21,True,2021-05-10 18:56:39.000,2.2.0,19.0,jiant,,,,,2.0,2.0,https://pypi.org/project/jiant,2021-05-10 18:56:39.000,,65.0,65.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n674,ThunderSVM,Xtra-Computing/thundersvm,ml-frameworks,,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04.000,2022-04-09 02:38:13.000000,2022-04-09 02:38:13,904.0,2.0,188,52.0,51.0,62.0,145.0,1378,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,34.0,21,True,2020-03-13 12:36:30.000,0.3.12,9.0,thundersvm,,,,,,,https://pypi.org/project/thundersvm,2020-03-13 12:36:30.000,,1349.0,1385.0,,,,,,,,3.0,2399.0,,,,,,,,,,,,,,,,,,,\n675,OpenPrompt,thunlp/OpenPrompt,nlp,,https://github.com/thunlp/OpenPrompt,https://github.com/thunlp/OpenPrompt,Apache-2.0,2021-09-30 09:38:45.000,2022-04-20 11:31:25.000000,2022-04-20 11:29:44,213.0,25.0,142,18.0,28.0,6.0,111.0,1346,An Open-Source Framework for Prompt-Learning.,13.0,21,True,2022-04-20 04:58:40.000,1.0.0,4.0,openprompt,,,,,8.0,8.0,https://pypi.org/project/openprompt,2022-04-15 10:01:11.000,,504.0,504.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n676,Skater,oracle/Skater,interpretability,,https://github.com/oracle/Skater,https://github.com/oracle/Skater,UPL-1.0,2017-01-26 05:45:42.000,2022-02-11 18:01:55.000000,2022-02-11 18:01:55,1106.0,5.0,167,55.0,149.0,69.0,97.0,1023,Python Library for Model Interpretation/Explanations.,36.0,21,False,2018-09-21 07:03:32.000,1.1.2,23.0,skater,conda-forge/skater,,,,,,https://pypi.org/project/skater,2018-09-21 07:03:32.000,,699.0,1505.0,https://anaconda.org/conda-forge/skater,2021-11-15 19:51:51.883,46768.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n677,luminol,linkedin/luminol,time-series-data,,https://github.com/linkedin/luminol,https://github.com/linkedin/luminol,Apache-2.0,2015-11-18 23:16:33.000,2020-12-27 09:54:35.000000,2018-01-09 07:46:55,69.0,,203,66.0,27.0,31.0,12.0,1022,Anomaly Detection and Correlation library.,8.0,21,False,2016-01-20 01:01:44.000,0.3.1,5.0,luminol,,,,,70.0,55.0,https://pypi.org/project/luminol,2017-12-11 06:04:15.000,15.0,38106.0,38106.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n678,keract,philipperemy/keract,interpretability,,https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57.000,2022-01-24 10:17:05.000000,2022-01-24 10:17:05,385.0,1.0,184,33.0,66.0,3.0,81.0,977,Layers Outputs and Gradients in Keras. Made easy.,16.0,21,True,2021-06-19 16:14:57.000,4.5.0,38.0,keract,,,,['tensorflow'],134.0,129.0,https://pypi.org/project/keract,2021-06-19 16:14:15.000,5.0,1330.0,1330.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n679,fastFM,ibayer/fastFM,recommender-systems,,https://github.com/ibayer/fastFM,https://github.com/ibayer/fastFM,BSD-3-Clause,2014-10-27 12:25:51.000,2021-12-06 14:42:35.000000,2021-03-24 12:22:31,297.0,,194,30.0,60.0,46.0,60.0,976,fastFM: A Library for Factorization Machines.,20.0,21,False,2017-11-23 06:59:56.000,0.2.11,10.0,fastfm,,,,,105.0,97.0,https://pypi.org/project/fastfm,2017-11-23 06:59:56.000,8.0,541.0,546.0,,,,,,,,3.0,435.0,,,,,,,,,,,,,,,,,,,\n680,geoplotlib,andrea-cuttone/geoplotlib,geospatial-data,,https://github.com/andrea-cuttone/geoplotlib,https://github.com/andrea-cuttone/geoplotlib,MIT,2015-02-24 13:13:07.000,2021-10-20 12:00:24.000000,2019-05-06 07:06:50,159.0,,155,55.0,13.0,30.0,19.0,963,python toolbox for visualizing geographical data and making maps.,8.0,21,False,2016-07-27 14:55:01.000,0.3.2,4.0,geoplotlib,conda-forge/geoplotlib,,,,151.0,139.0,https://pypi.org/project/geoplotlib,2016-07-27 14:55:01.000,12.0,1527.0,1590.0,https://anaconda.org/conda-forge/geoplotlib,2021-05-31 16:11:51.234,701.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n681,attention-ocr,emedvedev/attention-ocr,ocr,,https://github.com/emedvedev/attention-ocr,https://github.com/emedvedev/attention-ocr,MIT,2017-07-21 18:35:19.000,2021-10-29 14:44:11.000000,2021-10-29 14:44:08,205.0,,243,47.0,45.0,24.0,126.0,903,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,27.0,21,True,2020-10-12 06:56:40.000,0.7.6,21.0,aocr,,,,['tensorflow'],19.0,19.0,https://pypi.org/project/aocr,2019-04-19 05:28:27.000,,319.0,319.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n682,NGT,yahoojapan/NGT,nn-search,,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000,2022-04-06 02:43:33.000000,2022-04-06 02:31:11,140.0,7.0,87,35.0,20.0,15.0,83.0,881,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,13.0,21,True,2022-04-06 01:55:37.000,1.14.4,54.0,ngt,,,,,8.0,,https://pypi.org/project/ngt,2022-04-06 01:55:37.000,8.0,16409.0,16409.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n683,mrq,pricingassistant/mrq,data-pipelines,,https://github.com/pricingassistant/mrq,https://github.com/pricingassistant/mrq,MIT,2014-02-13 09:32:40.000,2022-04-20 17:00:23.000000,2020-12-13 18:58:15,709.0,,113,64.0,65.0,59.0,119.0,864,Mr. Queue - A distributed worker task queue in Python using Redis & gevent.,38.0,21,False,2018-08-31 16:03:04.000,0.9.10,70.0,mrq,,,,,41.0,29.0,https://pypi.org/project/mrq,2018-08-31 16:03:04.000,12.0,253.0,253.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n684,nude.py,hhatto/nude.py,image,,https://github.com/hhatto/nude.py,https://github.com/hhatto/nude.py,MIT,2013-06-09 06:55:55.000,2020-11-23 13:49:32.000000,2020-11-23 13:49:02,79.0,,134,34.0,16.0,7.0,3.0,851,Nudity detection with Python.,12.0,21,False,2020-11-23 13:49:17.000,0.5.1,10.0,nudepy,,,,,2135.0,2125.0,https://pypi.org/project/nudepy,2020-11-23 13:49:17.000,10.0,5354.0,5354.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n685,DiCE,interpretml/DiCE,interpretability,,https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000,2022-04-08 02:17:08.000000,2022-04-08 01:47:38,535.0,38.0,114,16.0,175.0,46.0,60.0,820,Generate Diverse Counterfactual Explanations for any machine learning model.,12.0,21,True,2021-09-27 06:59:57.000,0.7.2,8.0,dice-ml,,,,\"['tensorflow', 'pytorch']\",3.0,,https://pypi.org/project/dice-ml,2021-09-27 06:59:57.000,3.0,32573.0,32573.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n686,tffm,geffy/tffm,tensorflow-utils,,https://github.com/geffy/tffm,https://github.com/geffy/tffm,MIT,2016-05-02 17:06:07.000,2022-01-17 20:39:04.000000,2022-01-17 20:38:58,107.0,,188,34.0,15.0,18.0,22.0,782,TensorFlow implementation of an arbitrary order Factorization Machine.,10.0,21,True,2022-01-17 20:35:57.000,1.0.2,3.0,tffm,,,,['tensorflow'],12.0,11.0,https://pypi.org/project/tffm,2022-01-17 20:35:57.000,1.0,2246.0,2246.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n687,TensorFrames,databricks/tensorframes,distributed-ml,,https://github.com/databricks/tensorframes,https://github.com/databricks/tensorframes,Apache-2.0,2016-03-04 19:25:19.000,2022-02-09 23:38:50.000000,2019-11-15 21:43:53,221.0,,157,72.0,94.0,51.0,43.0,761,[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark.,16.0,21,False,2018-11-16 20:50:02.000,0.6.0,6.0,tensorframes,,,,\"['tensorflow', 'spark']\",1.0,,https://pypi.org/project/tensorframes,2018-05-16 14:20:28.000,1.0,26347.0,26347.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n688,mlens,flennerhag/mlens,others,,https://github.com/flennerhag/mlens,https://github.com/flennerhag/mlens,MIT,2017-01-10 20:53:47.000,2020-02-25 14:32:48.000000,2020-02-25 14:31:53,879.0,,94,29.0,56.0,12.0,74.0,732,ML-Ensemble high performance ensemble learning.,7.0,21,False,2018-10-30 22:34:35.000,0.2.3,14.0,mlens,,,,,189.0,186.0,https://pypi.org/project/mlens,2018-10-30 22:30:43.000,3.0,1352.0,1352.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n689,NearPy,pixelogik/NearPy,nn-search,,https://github.com/pixelogik/NearPy,https://github.com/pixelogik/NearPy,MIT,2013-04-25 09:10:26.000,2021-09-26 01:44:54.000000,2018-10-21 17:54:28,159.0,,138,41.0,32.0,24.0,38.0,706,\"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..\",18.0,21,False,2016-09-27 13:04:44.000,1.0.0,8.0,NearPy,,,,,83.0,67.0,https://pypi.org/project/NearPy,2016-09-27 13:03:12.000,16.0,2278.0,2278.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n690,nnAudio,KinWaiCheuk/nnAudio,audio,,https://github.com/KinWaiCheuk/nnAudio,https://github.com/KinWaiCheuk/nnAudio,MIT,2019-09-02 04:31:14.000,2021-12-24 09:38:22.000000,2021-12-24 09:32:42,281.0,,68,18.0,66.0,12.0,37.0,674,Audio processing by using pytorch 1D convolution network.,13.0,21,True,2021-12-24 09:38:22.000,0.3.1,38.0,nnAudio,,,,,46.0,45.0,https://pypi.org/project/nnAudio,2021-12-24 09:38:22.000,1.0,2154.0,2154.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n691,What-If Tool,PAIR-code/what-if-tool,interpretability,,https://github.com/PAIR-code/what-if-tool,https://github.com/PAIR-code/what-if-tool,Apache-2.0,2018-09-07 20:26:10.000,2022-02-13 02:37:18.000000,2022-01-05 20:19:46,328.0,,130,26.0,99.0,57.0,48.0,661,Source code/webpage/demos for the What-If Tool.,20.0,21,True,2021-10-12 17:42:50.869,1.8.1,40.0,witwidget,conda-forge/tensorboard-plugin-wit,,,,3.0,,https://pypi.org/project/witwidget,2021-10-12 17:42:30.000,3.0,7214.0,53855.0,https://anaconda.org/conda-forge/tensorboard-plugin-wit,2022-01-06 08:51:02.032,923065.0,,,,,3.0,,,,wit-widget,https://www.npmjs.com/package/wit-widget,2021-10-12 17:42:50.869,,4684.0,,,,,,,,,,,,\n692,TensorBoard Logger,TeamHG-Memex/tensorboard_logger,ml-experiments,,https://github.com/TeamHG-Memex/tensorboard_logger,https://github.com/TeamHG-Memex/tensorboard_logger,MIT,2016-10-27 14:02:25.000,2021-11-15 17:46:29.000000,2019-10-21 07:52:07,46.0,,51,29.0,11.0,11.0,15.0,619,Log TensorBoard events without touching TensorFlow.,5.0,21,False,2018-02-08 07:28:51.000,0.1.0,5.0,tensorboard_logger,,,,,51.0,,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51.000,51.0,71365.0,71365.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n693,TF Compression,tensorflow/compression,tensorflow-utils,,https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19.000,2022-04-11 11:39:22.000000,2022-04-11 11:38:53,207.0,27.0,209,41.0,15.0,2.0,80.0,602,Data compression in TensorFlow.,12.0,21,True,2022-03-02 19:18:12.000,2.8.1,14.0,tensorflow-compression,,,,['tensorflow'],1.0,,https://pypi.org/project/tensorflow-compression,2022-03-02 19:18:12.000,1.0,939.0,939.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n694,pyhsmm,mattjj/pyhsmm,probabilistics,,https://github.com/mattjj/pyhsmm,https://github.com/mattjj/pyhsmm,MIT,2012-03-18 17:40:13.000,2022-04-10 20:18:08.000000,2020-08-24 17:03:59,1426.0,,159,56.0,19.0,39.0,60.0,509,Bayesian inference in HSMMs and HMMs.,13.0,21,False,2017-05-10 17:14:37.000,0.1.7,8.0,pyhsmm,,,,,30.0,25.0,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37.000,5.0,82.0,82.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n695,seglearn,dmbee/seglearn,time-series-data,,https://github.com/dmbee/seglearn,https://github.com/dmbee/seglearn,BSD-3-Clause,2018-03-05 20:53:59.000,2022-04-13 19:15:09.000000,2021-03-12 17:12:50,268.0,,57,30.0,31.0,6.0,23.0,508,Python module for machine learning time series:.,13.0,21,False,2021-03-13 16:18:30.000,1.2.3,22.0,seglearn,,,,,12.0,11.0,https://pypi.org/project/seglearn,2021-03-13 16:18:30.000,1.0,1490.0,1490.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n696,skope-rules,scikit-learn-contrib/skope-rules,sklearn-utils,,https://github.com/scikit-learn-contrib/skope-rules,https://github.com/scikit-learn-contrib/skope-rules,BSD-1-Clause,2018-02-18 13:42:47.000,2021-05-12 08:25:18.000000,2020-10-23 14:31:57,247.0,,73,24.0,29.0,24.0,6.0,458,machine learning with logical rules in Python.,18.0,21,False,2020-12-11 09:37:02.000,1.0.1,4.0,skope-rules,,,,['sklearn'],86.0,81.0,https://pypi.org/project/skope-rules,2020-01-25 12:01:37.000,5.0,99494.0,99494.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n697,joypy,leotac/joypy,data-viz,,https://github.com/leotac/joypy,https://github.com/leotac/joypy,MIT,2017-07-30 17:18:50.000,2021-12-21 20:58:11.000000,2021-12-19 09:41:43,133.0,,48,11.0,19.0,11.0,37.0,414,Joyplots in Python with matplotlib & pandas.,6.0,21,True,2021-12-19 09:42:50.000,0.2.6,17.0,joypy,conda-forge/joypy,,,,157.0,152.0,https://pypi.org/project/joypy,2021-12-19 09:42:50.000,5.0,13402.0,13745.0,https://anaconda.org/conda-forge/joypy,2020-12-28 14:07:53.760,12711.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n698,tick,X-DataInitiative/tick,time-series-data,,https://github.com/X-DataInitiative/tick,https://github.com/X-DataInitiative/tick,BSD-3-Clause,2016-12-01 10:59:08.000,2022-01-30 17:29:29.000000,2020-06-15 12:01:36,413.0,,82,36.0,264.0,57.0,165.0,380,\"Module for statistical learning, with a particular emphasis on time-dependent modelling.\",16.0,21,False,2019-09-11 11:25:15.000,0.6,23.0,tick,,,,,59.0,58.0,https://pypi.org/project/tick,2020-05-24 22:01:17.000,1.0,1211.0,1214.0,,,,,,,,3.0,194.0,,,,,,,,,,,,,,,,,,,\n699,Studio.ml,studioml/studio,ml-experiments,,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28.000,2021-09-14 22:55:51.000000,2021-09-14 22:26:21,2409.0,,52,25.0,229.0,57.0,195.0,374,Studio: Simplify and expedite model building process.,21.0,21,True,2021-09-14 22:55:51.000,0.0.49,208.0,studioml,,,,,5.0,5.0,https://pypi.org/project/studioml,2021-09-14 22:55:51.000,,244.0,244.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n700,lazypredict,shankarpandala/lazypredict,hyperopt,,https://github.com/shankarpandala/lazypredict,https://github.com/shankarpandala/lazypredict,MIT,2019-11-16 09:56:35.000,2022-03-23 14:41:04.000000,2022-01-29 18:05:02,217.0,1.0,56,8.0,304.0,29.0,34.0,343,Lazy Predict help build a lot of basic models without much code and helps understand which models works better without..,17.0,21,True,2021-02-17 15:38:45.000,0.2.9,11.0,lazypredict,conda-forge/lazypredict,,,['sklearn'],275.0,275.0,https://pypi.org/project/lazypredict,2021-02-17 15:38:45.000,,7936.0,7978.0,https://anaconda.org/conda-forge/lazypredict,2021-08-24 21:49:02.096,341.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n701,sklearn-evaluation,edublancas/sklearn-evaluation,interpretability,,https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2015-09-04 16:33:42.000,2022-04-16 14:38:40.000000,2022-04-16 14:38:16,540.0,7.0,31,13.0,5.0,8.0,30.0,322,\"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook..\",8.0,21,True,2021-10-17 18:15:40.000,0.5.7,20.0,sklearn-evaluation,,,,['sklearn'],46.0,44.0,https://pypi.org/project/sklearn-evaluation,2022-04-16 14:38:40.000,2.0,1812.0,1812.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n702,Brainiak,brainiak/brainiak,medical-data,,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27.000,2022-04-04 15:48:18.000000,2021-05-28 01:21:58,393.0,,123,34.0,317.0,72.0,124.0,269,Brain Imaging Analysis Kit.,34.0,21,False,2019-08-27 23:52:29.000,0.9.1,15.0,brainiak,,brainiak/brainiak,,,17.0,16.0,https://pypi.org/project/brainiak,2020-10-15 20:45:08.000,1.0,244.0,253.0,,,,https://hub.docker.com/r/brainiak/brainiak,2020-10-15 21:11:03.379549,1.0,699.0,3.0,,,,,,,,,,,,,,,,,,,,\n703,scikit-posthocs,maximtrp/scikit-posthocs,probabilistics,,https://github.com/maximtrp/scikit-posthocs,https://github.com/maximtrp/scikit-posthocs,MIT,2017-06-22 19:41:37.000,2022-03-05 20:03:41.000000,2022-03-05 20:03:41,470.0,4.0,24,5.0,8.0,5.0,39.0,235,Multiple Pairwise Comparisons (Post Hoc) Tests in Python.,9.0,21,False,2021-03-17 06:05:28.000,0.6.7,21.0,scikit-posthocs,conda-forge/scikit-posthocs,,,['sklearn'],19.0,,https://pypi.org/project/scikit-posthocs,2021-03-15 16:05:51.000,19.0,33956.0,34536.0,https://anaconda.org/conda-forge/scikit-posthocs,2021-03-15 21:17:30.605,10453.0,,,,,3.0,25.0,,,,,,,,,,,,,,,,,,,\n704,Glow,projectglow/glow,medical-data,,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47.000,2022-04-21 05:50:29.000000,2022-04-01 01:08:11,388.0,19.0,67,18.0,376.0,53.0,80.0,198,An open-source toolkit for large-scale genomic analysis.,20.0,21,False,2021-12-15 00:00:29.000,1.1.2,15.0,glow.py,conda-forge/glow,,,,,,https://pypi.org/project/glow.py,2022-04-19 23:43:38.000,,21405.0,21513.0,https://anaconda.org/conda-forge/glow,2021-04-28 16:52:48.812,1520.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n705,stop-words,Alir3z4/python-stop-words,nlp,,https://github.com/Alir3z4/python-stop-words,https://github.com/Alir3z4/python-stop-words,BSD-3-Clause,2014-05-26 06:44:03.000,2021-12-28 13:59:30.000000,2018-07-23 21:04:09,90.0,,26,6.0,18.0,3.0,9.0,137,Get list of common stop words in various languages in Python.,8.0,21,False,2018-07-23 20:58:34.000,2018.7.23,8.0,stop-words,,,,,1648.0,1502.0,https://pypi.org/project/stop-words,2018-07-23 20:55:55.000,146.0,108689.0,108689.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n706,graph-nets,deepmind/graph_nets,graph,,https://github.com/deepmind/graph_nets,https://github.com/deepmind/graph_nets,Apache-2.0,2018-08-31 08:19:28.000,2020-12-04 17:43:48.000000,2020-12-04 17:43:47,47.0,,770,222.0,24.0,7.0,120.0,5108,Build Graph Nets in Tensorflow.,10.0,20,False,2020-01-29 16:00:25.000,1.1.0,7.0,graph-nets,,,,['tensorflow'],7.0,,https://pypi.org/project/graph-nets,2020-01-29 16:00:25.000,7.0,877.0,877.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n707,AdaBound,Luolc/AdaBound,pytorch-utils,,https://github.com/Luolc/AdaBound,https://github.com/Luolc/AdaBound,Apache-2.0,2019-02-15 18:05:20.000,2019-03-06 17:01:52.000000,2019-03-06 17:01:45,27.0,,327,78.0,1.0,17.0,7.0,2888,An optimizer that trains as fast as Adam and as good as SGD.,2.0,20,False,2019-03-06 16:44:42.000,0.0.5,4.0,adabound,,,,['pytorch'],141.0,134.0,https://pypi.org/project/adabound,2019-02-26 04:23:45.000,7.0,1513.0,1513.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n708,opyrator,ml-tooling/opyrator,others,,https://github.com/ml-tooling/opyrator,https://github.com/ml-tooling/opyrator,MIT,2021-04-06 08:09:06.000,2022-04-06 19:30:13.000000,2021-05-06 12:10:38,127.0,,120,45.0,24.0,2.0,24.0,2611,\"Turns your machine learning code into microservices with web API, interactive GUI, and more.\",4.0,20,True,2021-05-04 18:48:03.000,0.0.12,11.0,opyrator,conda-forge/opyrator,,,,32.0,32.0,https://pypi.org/project/opyrator,2021-05-04 18:48:03.000,,532.0,557.0,https://anaconda.org/conda-forge/opyrator,2022-01-08 18:03:03.967,76.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n709,Apache Singa,apache/singa,distributed-ml,,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000,2022-04-06 06:20:20.000000,2021-08-10 09:12:48,2360.0,,776,131.0,874.0,40.0,57.0,2604,a distributed deep learning platform.,76.0,20,True,2020-04-21 08:01:08.000,3.0.0,16.0,,nusdbsystem/singa,apache/singa,,,1.0,1.0,,,,,10.0,https://anaconda.org/nusdbsystem/singa,2021-08-09 13:10:26.397,440.0,https://hub.docker.com/r/apache/singa,2019-06-04 04:32:52.195956,4.0,279.0,3.0,,,,,,,,,,,,,,,,,,,,\n710,Coach,IntelLabs/coach,reinforcement-learning,,https://github.com/IntelLabs/coach,https://github.com/IntelLabs/coach,Apache-2.0,2017-10-01 19:27:43.000,2021-12-27 09:52:12.000000,2021-06-28 07:40:53,521.0,,417,131.0,225.0,87.0,183.0,2137,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,35.0,20,True,2019-10-10 14:17:10.000,1.0.1,13.0,rl_coach,,,,,2.0,,https://pypi.org/project/rl_coach,2019-10-10 14:17:10.000,2.0,128.0,128.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n711,Antialiased CNNs,adobe/antialiased-cnns,pytorch-utils,,https://github.com/adobe/antialiased-cnns,https://github.com/adobe/antialiased-cnns,CC BY-NC-SA 4.0,2019-05-14 20:51:25.000,2021-09-29 18:48:52.000000,2021-09-29 18:48:52,239.0,,190,37.0,6.0,11.0,31.0,1516,pip install antialiased-cnns to improve stability and accuracy.,6.0,20,False,2020-10-23 22:45:52.000,0.3,6.0,antialiased-cnns,,,,['pytorch'],22.0,20.0,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49.000,2.0,1214.0,1214.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n712,greykite,linkedin/greykite,time-series-data,,https://github.com/linkedin/greykite,https://github.com/linkedin/greykite,BSD-2-Clause,2021-04-27 17:05:53.000,2021-12-22 19:04:12.000000,2021-12-15 21:44:21,18.0,,69,36.0,12.0,8.0,52.0,1499,\"A flexible, intuitive and fast forecasting library.\",7.0,20,True,2021-12-22 19:04:12.000,0.1.1,7.0,greykite,,,,,8.0,8.0,https://pypi.org/project/greykite,2021-12-15 01:42:19.000,,24079.0,24079.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n713,ecco,jalammar/ecco,interpretability,,https://github.com/jalammar/ecco,https://github.com/jalammar/ecco,BSD-3-Clause,2020-11-07 10:06:34.000,2022-03-27 16:48:51.000000,2022-01-18 08:05:49,304.0,,91,17.0,25.0,14.0,22.0,1378,\"Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter..\",10.0,20,True,2022-01-09 21:17:53.000,0.1.2,18.0,ecco,conda-forge/ecco,,,['pytorch'],8.0,7.0,https://pypi.org/project/ecco,2022-01-09 21:14:50.000,1.0,371.0,445.0,https://anaconda.org/conda-forge/ecco,2022-01-10 22:03:30.223,299.0,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,,\n714,qdrant,qdrant/qdrant,nlp,,https://github.com/qdrant/qdrant,https://github.com/qdrant/qdrant,Apache-2.0,2020-05-30 21:37:01.000,2022-04-21 12:34:11.000000,2022-04-21 07:40:58,514.0,179.0,78,19.0,320.0,28.0,124.0,1311,Qdrant - vector similarity search engine with extended filtering support.,23.0,20,True,2022-04-13 08:43:53.000,0.7.0,14.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n715,sklearn-porter,nok/sklearn-porter,model-serialisation,,https://github.com/nok/sklearn-porter,https://github.com/nok/sklearn-porter,MIT,2016-06-22 22:21:34.000,2022-02-02 16:58:53.000000,2019-12-18 13:31:50,699.0,,157,35.0,20.0,42.0,29.0,1139,\"Transpile trained scikit-learn estimators to C, Java, JavaScript and others.\",11.0,20,False,2019-12-18 13:39:19.000,0.7.4,20.0,sklearn-porter,,,,['sklearn'],1.0,,https://pypi.org/project/sklearn-porter,2019-12-18 13:39:19.000,1.0,324.0,324.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n716,DIG,divelab/DIG,graph,,https://github.com/divelab/DIG,https://github.com/divelab/DIG,GPL-3.0,2020-10-30 03:51:15.000,2022-04-13 20:11:20.000000,2022-04-13 20:11:11,855.0,5.0,150,27.0,9.0,8.0,82.0,1081,A library for graph deep learning research.,30.0,20,False,2021-10-13 00:38:18.000,0.1.2,10.0,dig,,,,,8.0,,https://pypi.org/project/dig,2015-08-23 10:30:20.000,8.0,378.0,378.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n717,TensorNets,taehoonlee/tensornets,tensorflow-utils,,https://github.com/taehoonlee/tensornets,https://github.com/taehoonlee/tensornets,MIT,2017-09-19 05:19:01.000,2021-01-02 06:28:10.000000,2021-01-02 06:26:24,284.0,,185,52.0,12.0,16.0,42.0,1007,High level network definitions with pre-trained weights in TensorFlow.,6.0,20,False,2020-03-31 04:38:27.000,0.4.6,12.0,tensornets,,,,['tensorflow'],52.0,48.0,https://pypi.org/project/tensornets,2020-03-31 04:35:15.000,4.0,125.0,125.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n718,Hivemind,learning-at-home/hivemind,distributed-ml,,https://github.com/learning-at-home/hivemind,https://github.com/learning-at-home/hivemind,MIT,2020-02-27 13:50:19.000,2022-04-20 23:35:47.000000,2022-03-21 12:08:49,490.0,8.0,60,47.0,348.0,42.0,78.0,1005,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,20.0,20,True,2022-02-07 10:06:24.000,1.0.1,15.0,hivemind,,,,,6.0,5.0,https://pypi.org/project/hivemind,2021-12-20 12:53:27.000,1.0,425.0,425.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n719,iNNvestigate,albermax/innvestigate,interpretability,,https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20.000,2022-04-14 20:58:06.000000,2021-08-03 15:45:16,943.0,,215,42.0,49.0,71.0,163.0,969,A toolbox to iNNvestigate neural networks predictions!.,19.0,20,True,2020-11-14 11:35:59.000,1.0.9,2.0,innvestigate,,,,['tensorflow'],1.0,,https://pypi.org/project/innvestigate,2020-11-14 11:35:59.000,1.0,408.0,408.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n720,torchsde,google-research/torchsde,pytorch-utils,,https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11.000,2021-07-26 13:59:41.000000,2021-07-26 13:59:38,157.0,,104,29.0,66.0,7.0,39.0,964,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,5.0,20,True,2021-07-20 07:09:56.000,0.2.5,4.0,torchsde,conda-forge/torchsde,,,['pytorch'],14.0,14.0,https://pypi.org/project/torchsde,2021-07-20 07:09:56.000,,809.0,1393.0,https://anaconda.org/conda-forge/torchsde,2021-07-12 23:43:34.083,8774.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n721,Node2Vec,eliorc/node2vec,graph,,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000,2021-12-30 15:36:37.000000,2021-10-09 06:09:16,64.0,,194,18.0,13.0,,73.0,891,Implementation of the node2vec algorithm.,9.0,20,True,2021-10-09 06:10:48.000,0.4.4,15.0,node2vec,conda-forge/node2vec,,,,14.0,,https://pypi.org/project/node2vec,2021-10-09 06:07:52.000,14.0,46344.0,46775.0,https://anaconda.org/conda-forge/node2vec,2020-04-25 22:41:13.714,20278.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n722,jraph,deepmind/jraph,graph,,https://github.com/deepmind/jraph,https://github.com/deepmind/jraph,Apache-2.0,2020-11-23 10:27:12.000,2022-04-04 09:13:35.000000,2022-03-17 11:10:27,77.0,10.0,56,34.0,9.0,10.0,9.0,873,A Graph Neural Network Library in Jax.,14.0,20,True,2021-11-19 18:56:04.000,0.0.2.de0,2.0,jraph,conda-forge/jraph,,,['jax'],17.0,15.0,https://pypi.org/project/jraph,2021-11-19 19:05:01.000,2.0,1732.0,1789.0,https://anaconda.org/conda-forge/jraph,2021-10-31 19:30:27.109,347.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n723,Vulkan Kompute,KomputeProject/kompute,gpu-utilities,,https://github.com/KomputeProject/kompute,https://github.com/KomputeProject/kompute,Apache-2.0,2020-07-29 05:23:33.000,2022-04-13 10:24:33.000000,2022-04-13 10:22:29,1013.0,27.0,60,25.0,107.0,56.0,118.0,849,\"General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm,..\",18.0,20,True,2022-04-13 10:24:33.000,0.8.1,13.0,kp,,,,,2.0,2.0,https://pypi.org/project/kp,2022-04-13 10:22:18.000,,165.0,172.0,,,,,,,,3.0,148.0,,,,,,,,,,,,,,,,,,,\n724,kompute,KomputeProject/kompute,gpu-utilities,,https://github.com/KomputeProject/kompute,https://github.com/KomputeProject/kompute,Apache-2.0,2020-07-29 05:23:33.000,2022-04-13 10:24:33.000000,2022-04-13 10:22:29,1013.0,27.0,60,25.0,107.0,56.0,118.0,849,\"General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm,..\",18.0,20,True,2022-04-13 10:24:33.000,0.8.1,13.0,kp,,,,,2.0,2.0,https://pypi.org/project/kp,2022-04-13 10:22:18.000,,165.0,172.0,,,,,,,,3.0,148.0,,,,,,,,,,,,,,,,,,,\n725,Performer Pytorch,lucidrains/performer-pytorch,pytorch-utils,,https://github.com/lucidrains/performer-pytorch,https://github.com/lucidrains/performer-pytorch,MIT,2020-10-03 03:41:36.000,2022-02-02 20:34:04.000000,2022-02-02 20:33:18,124.0,1.0,111,15.0,11.0,33.0,42.0,815,\"An implementation of Performer, a linear attention-based transformer, in Pytorch.\",6.0,20,True,2022-02-02 20:34:04.000,1.1.4,80.0,performer-pytorch,,,,['pytorch'],48.0,44.0,https://pypi.org/project/performer-pytorch,2022-02-02 20:34:04.000,4.0,5774.0,5774.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n726,Saliency,PAIR-code/saliency,tensorflow-utils,,https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35.000,2022-03-25 08:32:07.000000,2021-07-28 22:22:27,79.0,,165,28.0,53.0,14.0,26.0,785,\"Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).\",14.0,20,True,2021-05-03 16:33:29.000,0.1.3,10.0,saliency,,,,['tensorflow'],28.0,25.0,https://pypi.org/project/saliency,2021-05-03 16:33:29.000,3.0,786.0,786.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n727,Test Tube,williamFalcon/test-tube,hyperopt,,https://github.com/williamFalcon/test-tube,https://github.com/williamFalcon/test-tube,MIT,2017-09-06 02:14:57.000,2021-10-14 18:44:27.000000,2020-03-17 22:44:47,642.0,,65,21.0,36.0,25.0,21.0,713,Python library to easily log experiments and parallelize hyperparameter search for neural networks.,16.0,20,False,2019-12-01 01:19:36.000,0.7.5,53.0,test_tube,,,,,5.0,,https://pypi.org/project/test_tube,2018-12-12 22:45:59.000,5.0,18159.0,18159.0,,,,,,,,3.0,11.0,,,,,,,,,,,,,,,,,,,\n728,deeplift,kundajelab/deeplift,interpretability,,https://github.com/kundajelab/deeplift,https://github.com/kundajelab/deeplift,MIT,2016-06-01 02:18:06.000,2021-11-11 17:50:26.000000,2021-11-11 17:50:26,553.0,,145,37.0,45.0,36.0,48.0,622,Public facing deeplift repo.,11.0,20,True,2018-07-13 21:11:52.000,0.6.6,21.0,deeplift,,,,,60.0,56.0,https://pypi.org/project/deeplift,2020-11-11 09:32:57.000,4.0,682.0,682.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n729,Baal,ElementAI/baal,probabilistics,,https://github.com/ElementAI/baal,https://github.com/ElementAI/baal,Apache-2.0,2019-09-30 20:16:26.000,2022-04-20 15:15:20.000000,2022-04-11 20:32:02,165.0,11.0,52,19.0,118.0,16.0,55.0,568,Library to enable Bayesian active learning in your research or labeling work.,13.0,20,True,2022-04-12 13:02:12.000,1.5.2,14.0,baal,conda-forge/baal,,,,1.0,,https://pypi.org/project/baal,2022-04-11 20:32:29.000,1.0,1880.0,1968.0,https://anaconda.org/conda-forge/baal,2022-04-12 13:17:13.953,1332.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n730,TSFEL,fraunhoferportugal/tsfel,time-series-data,,https://github.com/fraunhoferportugal/tsfel,https://github.com/fraunhoferportugal/tsfel,BSD-3-Clause,2019-01-09 16:41:30.000,2022-04-05 16:42:19.000000,2022-03-16 14:38:31,280.0,3.0,62,18.0,65.0,6.0,43.0,494,An intuitive library to extract features from time series.,14.0,20,True,2021-02-14 17:48:46.000,0.1.4,8.0,tsfel,,,,,32.0,32.0,https://pypi.org/project/tsfel,2021-02-14 17:40:32.000,,5820.0,5820.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n731,PyWaffle,gyli/PyWaffle,data-viz,,https://github.com/gyli/PyWaffle,https://github.com/gyli/PyWaffle,MIT,2017-11-14 20:03:47.000,2021-12-22 15:04:00.863000,2021-12-21 16:13:08,262.0,,85,9.0,10.0,4.0,12.0,480,Make Waffle Charts in Python.,6.0,20,True,2021-12-21 16:10:13.000,0.6.4,25.0,pywaffle,conda-forge/pywaffle,,,,126.0,125.0,https://pypi.org/project/pywaffle,2021-12-21 16:10:13.000,1.0,3488.0,3596.0,https://anaconda.org/conda-forge/pywaffle,2021-12-22 15:04:00.863,4355.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n732,aequitas,dssg/aequitas,interpretability,,https://github.com/dssg/aequitas,https://github.com/dssg/aequitas,MIT,2018-02-13 19:40:30.000,2021-07-13 10:19:56.000000,2021-05-27 09:45:10,857.0,,88,42.0,56.0,37.0,21.0,468,Bias and Fairness Audit Toolkit.,16.0,20,True,2020-12-16 11:48:14.000,0.42.0,16.0,aequitas,,,,,101.0,95.0,https://pypi.org/project/aequitas,2020-12-16 11:48:14.000,6.0,964.0,964.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n733,pydlm,wwrechard/pydlm,time-series-data,,https://github.com/wwrechard/pydlm,https://github.com/wwrechard/pydlm,BSD-3-Clause,2016-06-29 07:58:53.000,2021-02-24 14:21:28.000000,2019-10-22 07:18:40,362.0,,88,28.0,11.0,35.0,8.0,415,A python library for Bayesian time series modeling.,6.0,20,False,2016-11-06 01:43:35.000,0.1.1,13.0,pydlm,,,,,27.0,25.0,https://pypi.org/project/pydlm,2018-12-19 10:27:54.000,2.0,23899.0,23899.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n734,recmetrics,statisticianinstilettos/recmetrics,recommender-systems,,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49.000,2022-04-17 14:51:35.000000,2022-04-17 14:49:12,264.0,26.0,86,12.0,28.0,9.0,11.0,377,A library of metrics for evaluating recommender systems.,16.0,20,True,2022-04-17 14:51:35.000,0.1.4,19.0,recmetrics,,,,,24.0,24.0,https://pypi.org/project/recmetrics,2022-04-17 14:51:35.000,,933.0,933.0,,,,,,,,3.0,,,2.0,,,,,,,,,,,,,,,,,\n735,Auto ViML,AutoViML/Auto_ViML,hyperopt,,https://github.com/AutoViML/Auto_ViML,https://github.com/AutoViML/Auto_ViML,Apache-2.0,2019-06-10 13:09:15.000,2021-12-06 01:40:00.000000,2021-12-06 01:38:51,293.0,,74,24.0,5.0,4.0,14.0,338,Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome...,6.0,20,True,2021-12-06 01:40:00.000,0.1.684,133.0,autoviml,,,,,17.0,15.0,https://pypi.org/project/autoviml,2021-12-06 01:40:00.000,2.0,1973.0,1973.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n736,quinn,MrPowers/quinn,ml-experiments,,https://github.com/MrPowers/quinn,https://github.com/MrPowers/quinn,Apache-2.0,2017-09-15 13:02:42.000,2021-03-27 14:31:44.000000,2021-02-09 04:48:07,110.0,,45,21.0,18.0,17.0,9.0,328,pyspark methods to enhance developer productivity.,6.0,20,False,2021-02-06 15:21:04.000,0.9.0,12.0,quinn,,,,['spark'],4.0,,https://pypi.org/project/quinn,2021-02-06 15:21:04.000,4.0,569018.0,569018.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n737,impyute,eltonlaw/impyute,others,,https://github.com/eltonlaw/impyute,https://github.com/eltonlaw/impyute,MIT,2017-01-21 09:16:27.000,2021-11-06 21:15:04.000000,2021-11-06 21:15:04,292.0,,44,8.0,37.0,27.0,37.0,313,Data imputations library to preprocess datasets with missing data.,11.0,20,True,2019-04-29 02:31:32.000,0.0.8,8.0,impyute,,,,,136.0,133.0,https://pypi.org/project/impyute,2019-04-29 02:31:32.000,3.0,3255.0,3255.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n738,fastT5,Ki6an/fastT5,nlp,,https://github.com/Ki6an/fastT5,https://github.com/Ki6an/fastT5,Apache-2.0,2021-03-11 08:46:42.000,2022-04-05 03:23:12.000000,2022-04-05 03:21:24,38.0,6.0,34,8.0,9.0,14.0,28.0,290,boost inference speed of T5 models by 5x & reduce the model size by 3x.,5.0,20,False,2022-04-05 03:23:12.000,0.1.4,14.0,fastt5,,,,,13.0,13.0,https://pypi.org/project/fastt5,2022-04-05 03:23:12.000,,1609.0,1609.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n739,pyfasttext,vrasneur/pyfasttext,nlp,,https://github.com/vrasneur/pyfasttext,https://github.com/vrasneur/pyfasttext,GPL-3.0,2017-06-30 18:44:42.000,2018-12-08 15:32:09.000000,2018-12-08 15:02:12,153.0,,30,9.0,4.0,21.0,28.0,230,Yet another Python binding for fastText.,4.0,20,False,2018-12-08 15:32:09.000,0.4.6,13.0,pyfasttext,,,,,228.0,215.0,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09.000,13.0,4020.0,4026.0,,,,,,,,3.0,347.0,,,,,,,,,,,,,,,,,,,\n740,Funsor,pyro-ppl/funsor,probabilistics,,https://github.com/pyro-ppl/funsor,https://github.com/pyro-ppl/funsor,Apache-2.0,2019-01-30 23:13:39.000,2022-04-12 01:37:13.000000,2022-04-08 17:51:44,568.0,7.0,17,16.0,453.0,84.0,74.0,193,Functional tensors for probabilistic programming.,10.0,20,False,2022-03-21 15:23:15.000,0.4.3,9.0,funsor,,,,['pytorch'],33.0,30.0,https://pypi.org/project/funsor,2022-03-21 15:16:11.000,3.0,1444.0,1444.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n741,Larq Compute Engine,larq/compute-engine,model-serialisation,,https://github.com/larq/compute-engine,https://github.com/larq/compute-engine,Apache-2.0,2019-08-29 15:02:43.000,2022-04-21 14:33:28.000000,2022-04-20 09:12:05,527.0,14.0,30,21.0,580.0,21.0,119.0,187,Highly optimized inference engine for Binarized Neural Networks.,18.0,20,False,2021-09-08 21:44:17.000,0.6.2,15.0,larq-compute-engine,,,,,5.0,5.0,https://pypi.org/project/larq-compute-engine,2021-09-08 21:44:17.000,,502.0,523.0,,,,,,,,3.0,568.0,,,,,,,,,,,,,,,,,,,\n742,nvidia-ml-py3,nicolargo/nvidia-ml-py3,gpu-utilities,,https://github.com/nicolargo/nvidia-ml-py3,https://github.com/nicolargo/nvidia-ml-py3,BSD-3-Clause,2017-06-03 07:47:03.000,2021-07-24 06:21:40.748000,2019-03-06 20:41:09,5.0,,49,3.0,1.0,2.0,,77,Python 3 Bindings for the NVIDIA Management Library.,2.0,20,False,2017-06-03 07:43:46.000,7.352.0,1.0,nvidia-ml-py3,anaconda/nvidia-ml,,,,5577.0,5444.0,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46.000,133.0,760915.0,760915.0,https://anaconda.org/anaconda/nvidia-ml,2021-07-24 06:21:40.748,4.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n743,DeepMind Lab,deepmind/lab,reinforcement-learning,,https://github.com/deepmind/lab,https://github.com/deepmind/lab,GPL-2.0,2016-11-30 13:41:26.000,2022-03-16 12:22:35.000000,2022-01-05 13:45:51,493.0,,1323,476.0,18.0,53.0,161.0,6660,A customisable 3D platform for agent-based AI research.,7.0,19,False,2020-12-07 11:26:33.000,release-2020-12-07,8.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n744,BytePS,bytedance/byteps,distributed-ml,,https://github.com/bytedance/byteps,https://github.com/bytedance/byteps,Apache-2.0,2019-06-25 07:00:13.000,2022-04-01 03:19:29.000000,2022-02-10 07:36:23,432.0,1.0,443,83.0,177.0,100.0,159.0,3150,A high performance and generic framework for distributed DNN training.,19.0,19,True,2020-08-27 15:42:13.000,0.2.4,8.0,byteps,,bytepsimage/tensorflow,,,,,https://pypi.org/project/byteps,2021-08-02 17:37:42.000,,62.0,98.0,,,,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,1252.0,3.0,,,,,,,,,,,,,,,,,,,,\n745,finmarketpy,cuemacro/finmarketpy,financial-data,,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03.000,2022-04-05 16:57:55.000000,2022-04-05 16:57:43,679.0,1.0,448,217.0,16.0,23.0,3.0,2893,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,14.0,19,True,2021-10-07 14:58:03.000,0.11.11,12.0,finmarketpy,,,,,5.0,5.0,https://pypi.org/project/finmarketpy,2021-10-07 14:58:03.000,,132.0,132.0,,,,,,,,3.0,40.0,,,,,,,,,,,,,,,,,,,\n746,Backtesting.py,kernc/backtesting.py,financial-data,,https://github.com/kernc/backtesting.py,https://github.com/kernc/backtesting.py,AGPL-3.0,2019-01-02 03:11:32.000,2022-04-20 04:17:48.000000,2022-03-27 23:39:16,252.0,2.0,478,88.0,58.0,47.0,250.0,2351,Backtest trading strategies in Python.,15.0,19,False,2017-07-22 02:00:06.000,0.0.1,1.0,backtesting,,,,,2.0,,https://pypi.org/project/backtesting,2017-07-22 02:00:06.000,2.0,6289.0,6289.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n747,pdftabextract,WZBSocialScienceCenter/pdftabextract,ocr,,https://github.com/WZBSocialScienceCenter/pdftabextract,https://github.com/WZBSocialScienceCenter/pdftabextract,Apache-2.0,2016-07-08 11:44:46.000,2022-03-07 07:43:55.000000,2022-03-07 07:43:44,169.0,1.0,345,89.0,3.0,3.0,18.0,1976,A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.,2.0,19,True,2018-01-09 08:00:24.000,0.3.0,5.0,pdftabextract,,,,,40.0,39.0,https://pypi.org/project/pdftabextract,2018-01-09 08:00:24.000,1.0,779.0,779.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n748,spark-deep-learning,databricks/spark-deep-learning,data-pipelines,,https://github.com/databricks/spark-deep-learning,https://github.com/databricks/spark-deep-learning,Apache-2.0,2017-05-31 17:30:28.000,2022-03-21 17:15:55.000000,2022-03-21 17:12:16,138.0,2.0,459,151.0,142.0,77.0,27.0,1920,Deep Learning Pipelines for Apache Spark.,17.0,19,True,2020-01-08 19:50:31.000,1.6.0,9.0,,,,,['spark'],20.0,20.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n749,pycls,facebookresearch/pycls,image,,https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17.000,2022-04-14 17:42:14.000000,2022-04-14 17:40:30,100.0,9.0,223,59.0,103.0,25.0,56.0,1886,\"Codebase for Image Classification Research, written in PyTorch.\",16.0,19,True,2021-05-21 00:29:47.000,0.2,3.0,pycls,,,,['pytorch'],5.0,5.0,https://pypi.org/project/pycls,2020-09-05 00:21:00.000,,460.0,460.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n750,doc2text,jlsutherland/doc2text,ocr,,https://github.com/jlsutherland/doc2text,https://github.com/jlsutherland/doc2text,MIT,2016-08-28 19:30:02.000,2020-12-01 22:56:27.000000,2020-12-01 22:56:26,62.0,,101,40.0,13.0,14.0,9.0,1251,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,5.0,19,False,2016-09-06 21:59:21.000,0.2.4,5.0,doc2text,,,,,53.0,53.0,https://pypi.org/project/doc2text,2016-09-06 21:59:21.000,,474.0,474.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n751,AdvBox,advboxes/AdvBox,adversarial,,https://github.com/advboxes/AdvBox,https://github.com/advboxes/AdvBox,Apache-2.0,2018-08-08 08:55:41.000,2022-03-11 23:28:41.000000,2021-05-03 22:51:52,375.0,,244,57.0,52.0,8.0,30.0,1226,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,19.0,19,True,2018-12-05 02:48:50.000,0.4.1,2.0,advbox,,,,,,,https://pypi.org/project/advbox,2018-12-05 02:48:50.000,,51.0,51.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n752,Torch-Struct,harvardnlp/pytorch-struct,pytorch-utils,,https://github.com/harvardnlp/pytorch-struct,https://github.com/harvardnlp/pytorch-struct,MIT,2019-08-26 19:34:30.000,2022-04-20 08:21:20.000000,2022-01-30 19:49:08,271.0,3.0,81,32.0,72.0,24.0,30.0,1026,\"Fast, general, and tested differentiable structured prediction in PyTorch.\",16.0,19,True,2021-02-15 20:20:59.000,0.5,2.0,torch-struct,,,,['pytorch'],,,https://pypi.org/project/torch-struct,2021-02-14 02:43:46.000,,28670.0,28670.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n753,Tez,abhishekkrthakur/tez,pytorch-utils,,https://github.com/abhishekkrthakur/tez,https://github.com/abhishekkrthakur/tez,Apache-2.0,2020-11-13 10:19:22.000,2022-04-15 19:44:37.000000,2022-04-15 19:43:58,117.0,32.0,129,13.0,6.0,16.0,16.0,994,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,1.0,19,True,2022-04-15 19:44:37.000,0.6.5,21.0,tez,,,,['pytorch'],24.0,22.0,https://pypi.org/project/tez,2022-04-15 19:44:37.000,2.0,1451.0,1451.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n754,ADTK,arundo/adtk,time-series-data,,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22.000,2021-07-18 06:52:12.000000,2020-04-17 02:27:44,79.0,,98,26.0,73.0,29.0,36.0,802,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,11.0,19,False,2020-04-17 02:18:00.000,0.6.2,13.0,adtk,conda-forge/adtk,,,,,,https://pypi.org/project/adtk,2020-04-17 02:18:00.000,,184475.0,184630.0,https://anaconda.org/conda-forge/adtk,2020-04-20 19:46:14.062,3883.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n755,pytorch2keras,gmalivenko/pytorch2keras,model-serialisation,,https://github.com/gmalivenko/pytorch2keras,https://github.com/gmalivenko/pytorch2keras,MIT,2017-11-16 20:21:43.000,2022-03-07 13:17:47.000000,2021-08-06 08:18:46,282.0,,132,15.0,22.0,53.0,68.0,788,PyTorch to Keras model convertor.,13.0,19,True,2020-05-14 10:03:56.000,0.2.4,23.0,pytorch2keras,,,,,42.0,41.0,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56.000,1.0,749.0,749.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n756,AlphaPy,ScottfreeLLC/AlphaPy,hyperopt,,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32.000,2021-12-22 00:07:44.000000,2021-10-23 07:17:16,413.0,,157,57.0,3.0,12.0,29.0,757,\"Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost.\",3.0,19,True,2020-08-29 18:48:20.000,2.5.0,25.0,alphapy,,,,,3.0,3.0,https://pypi.org/project/alphapy,2020-08-29 18:44:15.000,,270.0,270.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n757,sklearn-deap,rsteca/sklearn-deap,hyperopt,,https://github.com/rsteca/sklearn-deap,https://github.com/rsteca/sklearn-deap,MIT,2015-10-28 22:52:34.000,2021-07-30 15:13:54.000000,2021-07-30 15:06:27,104.0,,114,29.0,25.0,21.0,34.0,689,Use evolutionary algorithms instead of gridsearch in scikit-learn.,22.0,19,True,2021-07-30 15:13:54.000,0.3.0,14.0,sklearn-deap,,,,['sklearn'],33.0,31.0,https://pypi.org/project/sklearn-deap,2021-07-30 15:13:54.000,2.0,850.0,850.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n758,matrixprofile-ts,target/matrixprofile-ts,time-series-data,,https://github.com/target/matrixprofile-ts,https://github.com/target/matrixprofile-ts,Apache-2.0,2018-09-10 19:03:34.000,2020-04-25 18:38:20.000000,2020-04-25 18:37:42,198.0,,96,24.0,46.0,19.0,34.0,674,A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile.,15.0,19,False,2019-08-08 01:24:38.000,0.0.9,9.0,matrixprofile-ts,,,,,18.0,18.0,https://pypi.org/project/matrixprofile-ts,2019-08-08 01:24:38.000,,1026.0,1026.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n759,NeoML,neoml-lib/neoml,ml-frameworks,,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000,2022-04-20 22:08:48.000000,2022-04-20 22:08:47,624.0,83.0,106,30.0,555.0,28.0,44.0,667,Machine learning framework for both deep learning and traditional algorithms.,30.0,19,True,2021-06-22 05:25:53.000,NeoML-master_2.0.5.0,5.0,neoml,,,,,,,https://pypi.org/project/neoml,2021-06-21 21:43:53.000,,66.0,66.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n760,finetune,IndicoDataSolutions/finetune,nlp,,https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16.000,2022-04-19 16:27:22.000000,2022-03-16 15:02:53,1484.0,1.0,71,34.0,558.0,22.0,117.0,662,Scikit-learn style model finetuning for NLP.,19.0,19,True,2020-01-10 22:42:24.000,0.8.6,38.0,finetune,,,,\"['tensorflow', 'sklearn']\",11.0,9.0,https://pypi.org/project/finetune,2021-12-20 14:14:00.000,2.0,130.0,130.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n761,Dragonfly,dragonfly/dragonfly,hyperopt,,https://github.com/dragonfly/dragonfly,https://github.com/dragonfly/dragonfly,MIT,2018-04-20 22:19:50.000,2021-07-31 04:54:26.000000,2020-07-03 18:01:17,397.0,,205,29.0,35.0,36.0,19.0,638,An open source python library for scalable Bayesian optimisation.,12.0,19,False,2020-07-03 18:05:12.000,0.1.6,9.0,dragonfly-opt,,,,,2.0,,https://pypi.org/project/dragonfly-opt,2020-07-03 18:05:12.000,2.0,30703.0,30703.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n762,cuSignal,rapidsai/cusignal,gpu-utilities,,https://github.com/rapidsai/cusignal,https://github.com/rapidsai/cusignal,Apache-2.0,2019-08-22 14:27:27.000,2022-04-21 13:19:53.000000,2022-04-20 12:12:22,1195.0,16.0,91,41.0,347.0,15.0,118.0,588,GPU accelerated signal processing.,38.0,19,True,2022-04-06 14:58:42.000,22.04.00,12.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n763,pytorch_tabular,manujosephv/pytorch_tabular,tabular,,https://github.com/manujosephv/pytorch_tabular,https://github.com/manujosephv/pytorch_tabular,MIT,2020-12-15 07:17:03.000,2022-04-01 07:58:53.000000,2022-03-30 07:41:15,266.0,25.0,61,7.0,13.0,19.0,37.0,575,A standard framework for modelling Deep Learning Models for tabular data.,9.0,19,True,2021-09-01 11:51:30.000,0.7.0,8.0,pytorch_tabular,,,,['pytorch'],1.0,,https://pypi.org/project/pytorch_tabular,2021-09-01 11:51:30.000,1.0,1982.0,1982.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,\n764,tcav,tensorflow/tcav,interpretability,,https://github.com/tensorflow/tcav,https://github.com/tensorflow/tcav,Apache-2.0,2018-07-03 17:45:35.000,2022-03-11 23:47:08.000000,2021-09-16 17:56:31,171.0,,127,31.0,70.0,7.0,54.0,515,Code for the TCAV ML interpretability project.,19.0,19,True,2021-02-23 16:17:42.000,0.2.2,4.0,tcav,,,,['tensorflow'],14.0,11.0,https://pypi.org/project/tcav,2021-02-23 16:17:42.000,3.0,118.0,118.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n765,Auto TS,AutoViML/Auto_TS,time-series-data,,https://github.com/AutoViML/Auto_TS,https://github.com/AutoViML/Auto_TS,Apache-2.0,2020-02-15 15:23:32.000,2022-02-13 22:23:38.000000,2022-02-13 22:22:57,250.0,5.0,76,15.0,12.0,6.0,61.0,423,\"Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of..\",6.0,19,True,2022-01-31 11:56:13.000,0.0.64,30.0,auto-ts,,,,,,,https://pypi.org/project/auto-ts,2022-01-31 11:56:13.000,,1751.0,1751.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n766,deepsnap,snap-stanford/deepsnap,graph,,https://github.com/snap-stanford/deepsnap,https://github.com/snap-stanford/deepsnap,MIT,2020-06-06 21:17:38.000,2021-09-28 07:21:22.000000,2021-09-19 23:51:06,406.0,,44,59.0,6.0,15.0,24.0,407,Python library assists deep learning on graphs.,15.0,19,True,2021-09-05 23:08:21.000,0.2.1,5.0,deepsnap,,,,,18.0,17.0,https://pypi.org/project/deepsnap,2021-09-05 22:57:16.000,1.0,406.0,406.0,,,,,,,,3.0,8.0,,,,,,,,,,,,,,,,,,,\n767,Case Recommender,caserec/CaseRecommender,recommender-systems,,https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39.000,2021-11-25 23:19:05.000000,2021-11-25 23:08:43,204.0,,78,23.0,18.0,7.0,20.0,397,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems.,11.0,19,True,2021-11-25 23:19:05.000,1.1.1,42.0,caserecommender,,,,['sklearn'],10.0,10.0,https://pypi.org/project/caserecommender,2021-11-25 23:19:05.000,,322.0,322.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n768,DESlib,scikit-learn-contrib/DESlib,sklearn-utils,,https://github.com/scikit-learn-contrib/DESlib,https://github.com/scikit-learn-contrib/DESlib,BSD-3-Clause,2017-12-08 22:49:49.000,2022-04-03 18:07:40.000000,2021-10-10 00:13:26,273.0,,73,16.0,122.0,14.0,129.0,393,A Python library for dynamic classifier and ensemble selection.,13.0,19,True,2021-02-08 06:29:25.000,0.3.5,4.0,deslib,,,,['sklearn'],26.0,24.0,https://pypi.org/project/deslib,2021-02-08 06:29:25.000,2.0,778.0,778.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n769,scikit-rebate,EpistasisLab/scikit-rebate,others,,https://github.com/EpistasisLab/scikit-rebate,https://github.com/EpistasisLab/scikit-rebate,MIT,2016-09-19 13:36:17.000,2021-12-29 00:49:30.000000,2021-02-15 17:10:59,283.0,,64,23.0,47.0,13.0,19.0,354,\"A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for..\",13.0,19,False,2017-04-12 16:12:01.000,0.3.4,13.0,skrebate,conda-forge/skrebate,,,['sklearn'],40.0,,https://pypi.org/project/skrebate,2021-03-20 17:11:52.000,40.0,6284.0,6757.0,https://anaconda.org/conda-forge/skrebate,2021-02-16 02:08:21.926,24145.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n770,elegy,poets-ai/elegy,ml-frameworks,,https://github.com/poets-ai/elegy,https://github.com/poets-ai/elegy,MIT,2020-06-30 14:00:37.000,2022-04-14 13:22:26.000000,2022-03-23 21:47:08,338.0,14.0,23,12.0,143.0,30.0,66.0,353,A High Level API for Deep Learning in JAX.,17.0,19,True,2022-03-23 21:51:07.000,0.8.6,31.0,elegy,,,,\"['tensorflow', 'jax']\",,,https://pypi.org/project/elegy,2022-04-13 15:13:41.000,,802.0,802.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n771,MXBoard,awslabs/mxboard,ml-experiments,,https://github.com/awslabs/mxboard,https://github.com/awslabs/mxboard,Apache-2.0,2018-02-06 23:03:51.000,2021-11-30 10:46:24.000000,2020-01-24 23:21:55,42.0,,46,25.0,19.0,16.0,15.0,332,Logging MXNet data for visualization in TensorBoard.,9.0,19,False,2018-05-22 20:25:51.000,0.1.0,12.0,mxboard,,,,['mxnet'],146.0,139.0,https://pypi.org/project/mxboard,2018-05-22 20:25:51.000,7.0,2654.0,2654.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n772,bodywork-core,bodywork-ml/bodywork-core,data-pipelines,,https://github.com/bodywork-ml/bodywork-core,https://github.com/bodywork-ml/bodywork-core,AGPL-3.0,2020-11-17 11:38:17.000,2022-04-21 15:00:21.000000,2022-03-06 18:15:53,815.0,26.0,15,9.0,105.0,6.0,52.0,330,\"ML pipeline orchestration and model deployments on Kubernetes, made really easy.\",4.0,19,False,2022-03-06 18:21:19.000,3.0.0,49.0,bodywork,,,,,10.0,10.0,https://pypi.org/project/bodywork,2022-03-06 18:21:19.000,,907.0,907.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n773,chefboost,serengil/chefboost,ml-frameworks,,https://github.com/serengil/chefboost,https://github.com/serengil/chefboost,MIT,2019-03-06 12:26:27.000,2022-03-23 06:28:35.000000,2022-03-23 06:28:35,352.0,9.0,82,14.0,3.0,5.0,17.0,314,\"A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some..\",6.0,19,True,2022-02-16 06:14:54.000,0.0.17,17.0,chefboost,,,,,23.0,23.0,https://pypi.org/project/chefboost,2022-02-16 06:14:54.000,,980.0,980.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n774,textpipe,textpipe/textpipe,nlp,,https://github.com/textpipe/textpipe,https://github.com/textpipe/textpipe,MIT,2018-06-21 16:23:32.000,2021-06-09 11:55:53.000000,2021-06-09 11:55:53,371.0,,23,23.0,239.0,24.0,25.0,295,Textpipe: clean and extract metadata from text.,28.0,19,False,2021-01-25 14:05:21.000,0.12.2,39.0,textpipe,,,,,9.0,8.0,https://pypi.org/project/textpipe,2021-01-25 14:05:21.000,1.0,395.0,395.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n775,sk-dist,Ibotta/sk-dist,distributed-ml,,https://github.com/Ibotta/sk-dist,https://github.com/Ibotta/sk-dist,Apache-2.0,2019-08-14 21:07:17.000,2021-07-07 00:44:10.000000,2021-07-07 00:44:07,58.0,,48,25.0,38.0,7.0,10.0,277,Distributed scikit-learn meta-estimators in PySpark.,7.0,19,False,2020-05-14 22:20:14.000,0.1.9,12.0,sk-dist,,,,\"['sklearn', 'spark']\",12.0,10.0,https://pypi.org/project/sk-dist,2020-05-14 22:20:14.000,2.0,54829.0,54829.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n776,model-card-toolkit,tensorflow/model-card-toolkit,interpretability,,https://github.com/tensorflow/model-card-toolkit,https://github.com/tensorflow/model-card-toolkit,Apache-2.0,2020-07-24 16:48:58.000,2022-04-18 15:56:01.000000,2022-04-18 15:55:57,216.0,24.0,45,12.0,201.0,18.0,2.0,269,a tool that leverages rich metadata and lineage information in MLMD to build a model card.,13.0,19,False,2022-03-22 05:45:44.000,1.3.1,9.0,model-card-toolkit,,,,,7.0,7.0,https://pypi.org/project/model-card-toolkit,2022-03-22 05:45:44.000,,1126.0,1126.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n777,ivis,beringresearch/ivis,data-viz,,https://github.com/beringresearch/ivis,https://github.com/beringresearch/ivis,Apache-2.0,2018-08-13 08:31:01.000,2022-03-10 14:58:27.000000,2022-03-10 14:38:17,614.0,3.0,33,12.0,60.0,3.0,51.0,258,Dimensionality reduction in very large datasets using Siamese Networks.,10.0,19,False,2022-03-10 14:58:28.000,2.07,33.0,ivis,,,,['tensorflow'],21.0,20.0,https://pypi.org/project/ivis,2022-03-10 14:57:02.000,1.0,387.0,387.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n778,fairness-indicators,tensorflow/fairness-indicators,interpretability,,https://github.com/tensorflow/fairness-indicators,https://github.com/tensorflow/fairness-indicators,Apache-2.0,2019-09-30 22:56:45.000,2022-04-16 00:09:37.000000,2022-04-16 00:09:33,289.0,10.0,67,19.0,281.0,12.0,9.0,248,Tensorflows Fairness Evaluation and Visualization Toolkit.,29.0,19,False,2022-03-07 20:10:18.000,0.38.0,24.0,fairness-indicators,,,,\"['tensorflow', 'jupyter']\",,,https://pypi.org/project/fairness-indicators,2022-03-07 20:10:18.000,,907.0,907.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n779,somoclu,peterwittek/somoclu,distributed-ml,,https://github.com/peterwittek/somoclu,https://github.com/peterwittek/somoclu,MIT,2013-01-16 06:33:16.000,2021-11-15 19:51:57.895000,2021-10-31 08:28:12,619.0,,61,26.0,29.0,26.0,107.0,235,\"Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters.\",19.0,19,False,2021-10-31 08:33:47.000,1.7.6,17.0,somoclu,conda-forge/somoclu,,,,7.0,,https://pypi.org/project/somoclu,2020-04-25 05:33:32.000,7.0,1583.0,2644.0,https://anaconda.org/conda-forge/somoclu,2021-11-15 19:51:57.895,58441.0,,,,,3.0,1592.0,,,,,,,,,,,,,,,,,,,\n780,fletcher,xhochy/fletcher,data-containers,,https://github.com/xhochy/fletcher,https://github.com/xhochy/fletcher,MIT,2018-03-04 16:44:22.000,2021-11-04 09:30:27.570000,2021-02-18 14:46:18,520.0,,33,19.0,146.0,34.0,40.0,222,Pandas ExtensionDType/Array backed by Apache Arrow.,24.0,19,False,2021-01-17 20:11:01.000,0.7.2,16.0,fletcher,conda-forge/fletcher,,,['pandas'],5.0,4.0,https://pypi.org/project/fletcher,2021-01-17 20:11:01.000,1.0,273.0,1179.0,https://anaconda.org/conda-forge/fletcher,2021-11-04 09:30:27.570,40804.0,,,,,3.0,13.0,,,,,,,,,,,,,,,,,,,\n781,DE⫶TR,facebookresearch/detr,image,,https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52.000,2022-03-07 12:59:53.000000,2022-03-07 12:59:53,46.0,1.0,1513,148.0,72.0,148.0,270.0,8686,End-to-End Object Detection with Transformers.,25.0,18,True,2020-06-29 16:41:01.000,0.2,1.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n782,SerpentAI,SerpentAI/SerpentAI,reinforcement-learning,,https://github.com/SerpentAI/SerpentAI,https://github.com/SerpentAI/SerpentAI,MIT,2017-04-16 21:48:39.000,2021-12-05 00:55:52.000000,2020-05-22 22:34:09,250.0,,716,331.0,58.0,2.0,,6229,Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!.,7.0,18,False,2018-02-17 00:12:46.000,2018.1.2,18.0,SerpentAI,,,,,,,https://pypi.org/project/SerpentAI,2018-02-17 00:12:46.000,,62.0,69.0,,,,,,,,3.0,170.0,,,,,,,,,,,,,,,,,,,\n783,PySlowFast,facebookresearch/SlowFast,image,,https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26.000,2022-04-09 19:00:16.000000,2022-04-06 20:04:41,164.0,1.0,914,95.0,34.0,257.0,248.0,4727,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,25.0,18,True,,,1.0,pyslowfast,,,,['pytorch'],7.0,7.0,https://pypi.org/project/pyslowfast,2020-01-15 23:51:07.000,,17.0,17.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n784,Spotlight,maciejkula/spotlight,recommender-systems,,https://github.com/maciejkula/spotlight,https://github.com/maciejkula/spotlight,MIT,2017-06-25 18:52:19.000,2020-11-15 08:21:28.000000,2020-02-09 21:03:48,299.0,,395,111.0,79.0,67.0,48.0,2705,Deep recommender models using PyTorch.,11.0,18,False,2019-09-08 10:19:53.000,0.1.6,7.0,,maciejkula/spotlight,,,['pytorch'],,,,,,,116.0,https://anaconda.org/maciejkula/spotlight,2018-05-27 18:32:12.235,6776.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n785,pytorchviz,szagoruyko/pytorchviz,pytorch-utils,,https://github.com/szagoruyko/pytorchviz,https://github.com/szagoruyko/pytorchviz,MIT,2018-01-30 15:37:55.000,2021-07-15 01:54:59.000000,2021-06-15 18:41:51,22.0,,225,31.0,18.0,19.0,35.0,2190,A small package to create visualizations of PyTorch execution graphs.,6.0,18,True,,,,,,,,,633.0,633.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n786,Mara Pipelines,mara/mara-pipelines,data-pipelines,,https://github.com/mara/mara-pipelines,https://github.com/mara/mara-pipelines,MIT,2018-03-31 20:37:22.000,2022-04-01 08:22:19.000000,2021-09-18 06:45:18,141.0,,88,57.0,48.0,11.0,13.0,1887,\"A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow.\",16.0,18,True,2021-01-23 22:34:03.000,3.1.2,7.0,mara-pipelines,,,,,9.0,9.0,https://pypi.org/project/mara-pipelines,2021-01-23 22:34:03.000,,312.0,312.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n787,NeuroNER,Franck-Dernoncourt/NeuroNER,nlp,,https://github.com/Franck-Dernoncourt/NeuroNER,https://github.com/Franck-Dernoncourt/NeuroNER,MIT,2017-03-07 01:24:15.000,2022-02-10 00:08:21.000000,2019-10-02 23:26:11,132.0,,452,84.0,31.0,82.0,67.0,1606,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,7.0,18,False,2019-10-02 23:30:15.000,1.0.8,7.0,pyneuroner,,,,,,,https://pypi.org/project/pyneuroner,2019-10-02 23:30:15.000,,91.0,91.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n788,riko,nerevu/riko,data-pipelines,,https://github.com/nerevu/riko,https://github.com/nerevu/riko,MIT,2016-06-02 12:22:51.000,2021-12-28 23:04:04.000000,2021-12-28 23:01:31,1269.0,,75,53.0,23.0,22.0,8.0,1586,A Python stream processing engine modeled after Yahoo! Pipes.,18.0,18,True,2021-12-28 23:04:04.000,0.67.0,59.0,riko,,,,,1.0,,https://pypi.org/project/riko,2021-12-28 23:04:04.000,1.0,41.0,41.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n789,keepsake,replicate/keepsake,ml-experiments,,https://github.com/replicate/keepsake,https://github.com/replicate/keepsake,Apache-2.0,2020-07-01 04:37:44.000,2022-04-20 23:06:17.000000,2022-03-15 20:49:26,790.0,2.0,62,9.0,729.0,123.0,65.0,1561,Version control for machine learning.,17.0,18,True,2021-03-11 21:15:01.000,0.4.2,7.0,keepsake,,,,,,,https://pypi.org/project/keepsake,2021-03-11 21:15:01.000,,1099.0,1099.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n790,Fiber,uber/fiber,distributed-ml,,https://github.com/uber/fiber,https://github.com/uber/fiber,Apache-2.0,2020-01-07 18:16:24.000,2021-06-30 02:02:42.000000,2021-03-15 07:00:08,66.0,,107,23.0,34.0,20.0,8.0,964,Distributed Computing for AI Made Simple.,5.0,18,False,2020-07-09 03:28:28.000,0.2.1,6.0,fiber,,,,,36.0,35.0,https://pypi.org/project/fiber,2020-07-09 03:28:28.000,1.0,1734.0,1734.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n791,Databolt Flow,d6t/d6tflow,data-pipelines,,https://github.com/d6t/d6tflow,https://github.com/d6t/d6tflow,MIT,2019-02-03 01:51:22.000,2021-10-06 00:53:48.000000,2021-09-28 02:59:00,266.0,,70,22.0,18.0,10.0,13.0,939,Python library for building highly effective data science workflows.,12.0,18,True,2021-10-06 00:53:48.000,0.2.5,21.0,d6tflow,,,,,20.0,20.0,https://pypi.org/project/d6tflow,2021-10-06 00:53:48.000,,351.0,351.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n792,Bounter,RaRe-Technologies/bounter,data-containers,,https://github.com/RaRe-Technologies/bounter,https://github.com/RaRe-Technologies/bounter,MIT,2017-07-18 07:24:15.000,2021-09-19 00:43:46.000000,2021-05-24 07:29:54,156.0,,48,21.0,27.0,16.0,9.0,934,Efficient Counter that uses a limited (bounded) amount of memory regardless of data size.,8.0,18,True,2022-02-18 13:23:55.000,1.1.1,7.0,bounter,,,,,33.0,25.0,https://pypi.org/project/bounter,2020-08-17 06:37:51.000,8.0,109.0,109.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n793,scenic,google-research/scenic,image,,https://github.com/google-research/scenic,https://github.com/google-research/scenic,Apache-2.0,2021-07-12 14:27:08.000,2022-04-21 14:55:30.000000,2022-04-21 13:51:44,235.0,78.0,103,26.0,257.0,17.0,20.0,847,Scenic: A Jax Library for Computer Vision Research and Beyond.,35.0,18,True,,,,,,,,['jax'],15.0,15.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n794,AutoGL,THUMNLab/AutoGL,graph,,https://github.com/THUMNLab/AutoGL,https://github.com/THUMNLab/AutoGL,Apache-2.0,2020-11-30 14:26:22.000,2022-04-19 03:42:03.000000,2022-04-19 03:40:55,617.0,50.0,87,28.0,86.0,6.0,14.0,780,An autoML framework & toolkit for machine learning on graphs.,13.0,18,True,2020-12-23 08:15:15.000,0.1.1,2.0,auto-graph-learning,,,,['pytorch'],,,https://pypi.org/project/auto-graph-learning,2020-12-23 08:05:25.000,,43.0,43.0,,,,,,,,3.0,,,2.0,,,,,,,,,,,,,,,,,\n795,FinQuant,fmilthaler/FinQuant,financial-data,,https://github.com/fmilthaler/FinQuant,https://github.com/fmilthaler/FinQuant,MIT,2019-01-20 15:07:19.000,2021-04-05 00:03:18.000000,2020-05-03 16:12:29,469.0,,102,33.0,42.0,16.0,11.0,755,\"A program for financial portfolio management, analysis and optimisation.\",9.0,18,False,2020-05-03 16:19:19.000,0.2.2,6.0,FinQuant,,,,,27.0,27.0,https://pypi.org/project/FinQuant,2020-05-03 16:19:19.000,,273.0,273.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n796,madgrad,facebookresearch/madgrad,pytorch-utils,,https://github.com/facebookresearch/madgrad,https://github.com/facebookresearch/madgrad,MIT,2021-01-12 19:41:06.000,2022-03-10 20:23:05.000000,2022-03-10 20:22:58,23.0,10.0,55,18.0,6.0,,7.0,753,MADGRAD Optimization Method.,2.0,18,True,,,3.0,madgrad,,,,['pytorch'],25.0,25.0,https://pypi.org/project/madgrad,2022-03-08 18:23:32.000,,8114.0,8114.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n797,robustness,MadryLab/robustness,adversarial,,https://github.com/MadryLab/robustness,https://github.com/MadryLab/robustness,MIT,2019-08-21 09:26:33.000,2022-04-20 20:42:41.000000,2022-02-14 20:43:06,145.0,4.0,136,18.0,40.0,16.0,56.0,686,\"A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.\",13.0,18,True,2020-12-01 06:11:12.000,1.2.1.post2,10.0,robustness,conda-forge/robustness,,,,76.0,74.0,https://pypi.org/project/robustness,2020-12-01 06:21:33.000,2.0,353.0,520.0,https://anaconda.org/conda-forge/robustness,2021-04-30 19:03:43.367,3353.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n798,Tensor Sensor,parrt/tensor-sensor,pytorch-utils,,https://github.com/parrt/tensor-sensor,https://github.com/parrt/tensor-sensor,MIT,2020-08-28 22:54:04.000,2022-04-07 20:52:55.000000,2022-04-07 20:49:56,235.0,1.0,33,12.0,13.0,8.0,15.0,637,\"The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy,..\",4.0,18,True,2021-12-11 21:24:11.000,1.0,37.0,tensor-sensor,conda-forge/tensor-sensor,,,['pytorch'],7.0,7.0,https://pypi.org/project/tensor-sensor,2021-12-11 21:24:35.000,,8905.0,8940.0,https://anaconda.org/conda-forge/tensor-sensor,2021-12-11 23:37:02.831,210.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n799,baikal,alegonz/baikal,others,,https://github.com/alegonz/baikal,https://github.com/alegonz/baikal,BSD-3-Clause,2019-01-21 12:59:02.000,2022-04-11 10:14:45.147000,2021-04-11 07:50:00,405.0,,29,20.0,38.0,6.0,14.0,592,A graph-based functional API for building complex scikit-learn pipelines.,2.0,18,True,2020-11-15 13:40:18.000,0.4.2,10.0,baikal,conda-forge/cython-blis,,,,4.0,3.0,https://pypi.org/project/baikal,2020-11-15 13:40:18.000,1.0,457.0,38267.0,https://anaconda.org/conda-forge/cython-blis,2022-04-11 10:14:45.147,1399003.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n800,kale,kubeflow-kale/kale,data-pipelines,,https://github.com/kubeflow-kale/kale,https://github.com/kubeflow-kale/kale,Apache-2.0,2019-01-24 17:58:44.000,2022-04-09 05:46:45.000000,2021-10-20 12:44:09,644.0,,103,17.0,260.0,83.0,73.0,526,Kubeflows superfood for Data Scientists.,10.0,18,True,2021-05-19 12:56:53.000,0.7.0,15.0,kubeflow-kale,,,,['jupyter'],,,https://pypi.org/project/kubeflow-kale,2021-05-19 12:56:53.000,,1664.0,1664.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n801,Auto Tune Models,HDI-Project/ATM,hyperopt,,https://github.com/HDI-Project/ATM,https://github.com/HDI-Project/ATM,MIT,2016-10-14 18:03:00.000,2020-02-21 17:44:07.000000,2020-02-21 17:40:58,775.0,,130,59.0,72.0,18.0,71.0,519,\"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).\",16.0,18,False,2019-07-30 09:28:26.000,0.2.2,14.0,atm,,,,,11.0,11.0,https://pypi.org/project/atm,2019-07-30 09:25:11.000,,124.0,124.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n802,N2,kakao/n2,nn-search,,https://github.com/kakao/n2,https://github.com/kakao/n2,Apache-2.0,2017-11-23 02:27:59.000,2021-05-20 05:41:36.000000,2021-05-20 05:39:44,264.0,,64,39.0,16.0,17.0,20.0,512,TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets.,18.0,18,True,2020-10-16 03:43:47.000,0.1.7,9.0,n2,,,,,26.0,23.0,https://pypi.org/project/n2,2020-10-16 03:10:01.000,3.0,653.0,653.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n803,rrcf,kLabUM/rrcf,others,,https://github.com/kLabUM/rrcf,https://github.com/kLabUM/rrcf,MIT,2018-10-20 05:39:05.000,2021-01-13 23:05:23.000000,2020-06-10 01:07:39,253.0,,82,20.0,52.0,22.0,17.0,368,Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams.,4.0,18,False,2020-06-10 01:53:55.000,0.4.3,7.0,rrcf,,,,,36.0,34.0,https://pypi.org/project/rrcf,2020-06-10 01:53:55.000,2.0,7637.0,7637.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n804,TextBox,RUCAIBox/TextBox,nlp,,https://github.com/RUCAIBox/TextBox,https://github.com/RUCAIBox/TextBox,MIT,2020-11-08 07:35:46.000,2022-04-06 09:14:20.000000,2022-04-06 09:14:20,750.0,43.0,62,10.0,163.0,3.0,16.0,348,TextBox is an open-source library for building text generation system.,13.0,18,True,2021-04-15 13:39:28.000,0.2.1,10.0,textbox,,,,,5.0,5.0,https://pypi.org/project/textbox,2021-04-15 09:35:06.000,,51.0,51.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n805,pykale,pykale/pykale,others,,https://github.com/pykale/pykale,https://github.com/pykale/pykale,MIT,2020-06-30 08:06:10.000,2022-04-21 12:59:02.000000,2022-04-12 16:16:19,1784.0,14.0,42,9.0,184.0,14.0,83.0,334,Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary..,16.0,18,True,2022-04-12 08:55:43.000,0.1.0rc5,9.0,pykale,,,,['pytorch'],,,https://pypi.org/project/pykale,2022-04-12 08:56:50.000,,84.0,84.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n806,SUOD,yzhao062/SUOD,others,,https://github.com/yzhao062/SUOD,https://github.com/yzhao062/SUOD,BSD-2-Clause,2019-11-20 00:23:54.000,2022-04-11 14:23:30.000000,2022-04-11 14:23:27,145.0,1.0,40,15.0,1.0,6.0,2.0,316,(MLSys 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection).,1.0,18,True,2021-10-01 18:05:35.000,0.0.8,9.0,suod,,,,,422.0,422.0,https://pypi.org/project/suod,2021-10-01 18:05:35.000,,23719.0,23719.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n807,Sherpa,sherpa-ai/sherpa,hyperopt,,https://github.com/sherpa-ai/sherpa,https://github.com/sherpa-ai/sherpa,GPL-3.0,2018-05-16 21:41:54.000,2020-10-18 07:57:50.000000,2020-10-18 07:57:48,823.0,,48,11.0,60.0,15.0,41.0,308,\"Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.\",43.0,18,False,2020-07-31 05:29:09.000,1.0.7,8.0,parameter-sherpa,,,,,21.0,19.0,https://pypi.org/project/parameter-sherpa,2019-11-23 21:32:27.000,2.0,362.0,362.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n808,pandas-ml,pandas-ml/pandas-ml,others,,https://github.com/pandas-ml/pandas-ml,https://github.com/pandas-ml/pandas-ml,BSD-3-Clause,2015-02-21 03:14:04.000,2020-08-14 12:29:33.000000,2019-03-05 01:36:55,153.0,,65,20.0,93.0,25.0,18.0,288,\"pandas, scikit-learn, xgboost and seaborn integration.\",4.0,18,False,2019-03-05 01:36:12.000,0.6.1,9.0,pandas-ml,,,,\"['sklearn', 'pandas']\",11.0,,https://pypi.org/project/pandas-ml,2019-03-05 01:35:23.000,11.0,6836.0,6836.0,,,,,,,,3.0,5.0,,,,,,,,,,,,,,,,,,,\n809,Muda,bmcfee/muda,audio,,https://github.com/bmcfee/muda,https://github.com/bmcfee/muda,ISC,2014-11-07 21:21:22.000,2021-12-15 16:53:25.527000,2021-05-03 14:04:36,293.0,,34,12.0,36.0,7.0,44.0,206,A library for augmenting annotated audio data.,7.0,18,False,2019-11-15 15:46:21.000,0.4.1,12.0,muda,,,,,15.0,14.0,https://pypi.org/project/muda,2021-12-15 16:53:25.527,1.0,174.0,174.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n810,pyRDF2Vec,IBCNServices/pyRDF2Vec,graph,,https://github.com/IBCNServices/pyRDF2Vec,https://github.com/IBCNServices/pyRDF2Vec,MIT,2019-06-13 11:36:12.000,2022-03-25 07:21:36.000000,2022-03-25 07:21:33,1158.0,15.0,29,13.0,14.0,4.0,49.0,147,Python Implementation and Extension of RDF2Vec.,6.0,18,False,2021-06-09 10:56:14.000,0.2.3,11.0,pyrdf2vec,,,,,,,https://pypi.org/project/pyrdf2vec,2021-06-09 10:56:14.000,,173.0,173.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n811,celer,mathurinm/celer,sklearn-utils,,https://github.com/mathurinm/celer,https://github.com/mathurinm/celer,BSD-3-Clause,2018-02-20 19:37:31.000,2022-04-21 14:51:52.000000,2022-04-19 13:13:49,237.0,9.0,25,9.0,163.0,20.0,56.0,138,\"Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.\",10.0,18,False,2021-10-28 09:58:28.000,0.6.1,11.0,celer,,,,['sklearn'],11.0,11.0,https://pypi.org/project/celer,2021-10-28 09:58:28.000,,490.0,490.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n812,Feature Engine,solegalli/feature_engine,others,,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2020-08-06 19:43:35.639,2022-01-04 17:54:20.182000,2021-08-06 12:03:40,126.0,,5,1.0,1.0,,,17,Feature engineering package with sklearn like functionality.,24.0,18,False,2022-01-04 14:15:17.000,1.2.0,29.0,feature_engine,conda-forge/feature_engine,,,,57.0,,https://pypi.org/project/feature_engine,2022-01-04 14:15:17.000,57.0,67183.0,67593.0,https://anaconda.org/conda-forge/feature_engine,2022-01-04 17:54:20.182,8207.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n813,prettymaps,marceloprates/prettymaps,geospatial-data,,https://github.com/marceloprates/prettymaps,https://github.com/marceloprates/prettymaps,AGPL-3.0,2021-03-05 12:22:05.000,2022-01-08 18:08:26.920000,2022-01-07 13:32:00,148.0,,352,72.0,29.0,33.0,20.0,7956,\"A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely..\",14.0,17,False,2021-10-19 13:33:43.000,0.1.3,4.0,prettymaps,conda-forge/prettymaps,,,,5.0,5.0,https://pypi.org/project/prettymaps,2021-10-19 13:33:43.000,,388.0,421.0,https://anaconda.org/conda-forge/prettymaps,2022-01-08 18:08:26.920,99.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n814,tinygrad,geohot/tinygrad,pytorch-utils,,https://github.com/geohot/tinygrad,https://github.com/geohot/tinygrad,MIT,2020-10-18 16:23:12.000,2022-04-21 07:11:09.000000,2022-04-05 17:30:50,676.0,5.0,595,126.0,214.0,21.0,87.0,5975,You like pytorch? You like micrograd? You love tinygrad!.,58.0,17,True,,,,,,,,['pytorch'],2.0,2.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n815,Lambda Networks,lucidrains/lambda-networks,pytorch-utils,,https://github.com/lucidrains/lambda-networks,https://github.com/lucidrains/lambda-networks,MIT,2020-10-08 19:01:15.000,2020-11-18 19:54:34.000000,2020-11-18 19:54:30,31.0,,155,46.0,3.0,12.0,15.0,1503,\"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.\",3.0,17,False,2020-11-18 08:19:23.000,0.4.0,11.0,lambda-networks,,,,['pytorch'],5.0,5.0,https://pypi.org/project/lambda-networks,2020-11-18 08:19:23.000,,129.0,129.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n816,Advisor,tobegit3hub/advisor,hyperopt,,https://github.com/tobegit3hub/advisor,https://github.com/tobegit3hub/advisor,Apache-2.0,2017-09-14 03:50:33.000,2019-11-11 07:09:57.869705,2019-11-11 06:59:31,165.0,,257,51.0,13.0,20.0,13.0,1450,Open-source implementation of Google Vizier for hyper parameters tuning.,11.0,17,False,2018-10-18 02:54:09.000,0.1.6,4.0,advisor,,tobegit3hub/advisor,,,,,https://pypi.org/project/advisor,2018-10-18 02:54:09.000,,68.0,98.0,,,,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1662.0,3.0,,,,,,,,,,,,,,,,,,,,\n817,MedicalTorch,perone/medicaltorch,medical-data,,https://github.com/perone/medicaltorch,https://github.com/perone/medicaltorch,Apache-2.0,2018-02-27 02:50:07.000,2022-04-01 08:52:48.000000,2021-04-16 18:50:54,57.0,,115,49.0,19.0,14.0,9.0,772,A medical imaging framework for Pytorch.,8.0,17,True,2018-11-24 00:33:11.000,0.2,2.0,medicaltorch,,,,['pytorch'],12.0,12.0,https://pypi.org/project/medicaltorch,2018-11-24 00:29:36.000,,155.0,155.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n818,nboost,koursaros-ai/nboost,nlp,,https://github.com/koursaros-ai/nboost,https://github.com/koursaros-ai/nboost,Apache-2.0,2019-10-29 20:56:24.000,2020-09-30 14:51:16.000000,2020-07-16 19:48:25,1336.0,,65,19.0,21.0,29.0,50.0,618,\"NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search..\",10.0,17,False,2020-06-12 20:05:15.000,0.3.9,26.0,nboost,,,,,3.0,3.0,https://pypi.org/project/nboost,2020-06-12 20:05:15.000,,70.0,70.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n819,Caer,jasmcaus/caer,image,,https://github.com/jasmcaus/caer,https://github.com/jasmcaus/caer,MIT,2020-08-06 18:36:14.000,2021-10-13 21:04:50.000000,2021-10-13 21:05:33,5078.0,,101,18.0,57.0,2.0,13.0,612,\"A lightweight Computer Vision library. Scale your models, not boilerplate.\",8.0,17,True,2021-10-13 21:04:12.000,2.0.8,119.0,caer,,,https://caer.rtfd.io,,1.0,,https://pypi.org/project/caer,2021-10-13 21:04:12.000,1.0,4322.0,4322.0,,,,,,,,3.0,19.0,,,,,,,,,,,,,,,,,,,\n820,textflint,textflint/textflint,adversarial,,https://github.com/textflint/textflint,https://github.com/textflint/textflint,GPL-3.0,2021-03-06 11:15:52.000,2022-03-15 12:38:43.000000,2022-03-15 12:38:01,256.0,10.0,88,18.0,18.0,3.0,26.0,550,Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing.,18.0,17,False,2022-03-15 07:18:47.000,0.1.0,6.0,textflint,,,,,2.0,2.0,https://pypi.org/project/textflint,2022-03-15 07:18:47.000,,97.0,97.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n821,LOFO,aerdem4/lofo-importance,interpretability,,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46.000,2022-04-09 21:35:46.000000,2021-10-04 13:20:39,26.0,,53,15.0,28.0,3.0,16.0,454,Leave One Feature Out Importance.,3.0,17,True,2021-10-04 13:21:59.000,0.3.1,11.0,lofo-importance,,,,,13.0,13.0,https://pypi.org/project/lofo-importance,2021-10-04 13:21:59.000,,328.0,328.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n822,apricot,jmschrei/apricot,others,,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12.000,2021-11-18 21:06:56.000000,2021-11-18 21:06:54,172.0,,40,8.0,8.0,6.0,18.0,417,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,4.0,17,True,2020-09-28 07:19:15.000,0.6.0,13.0,apricot-select,,,,,27.0,24.0,https://pypi.org/project/apricot-select,2020-09-28 07:19:15.000,3.0,649.0,649.0,,,,,,,,3.0,10.0,,,,,,,,,,,,,,,,,,,\n823,animatplot,t-makaro/animatplot,data-viz,,https://github.com/t-makaro/animatplot,https://github.com/t-makaro/animatplot,MIT,2017-04-03 00:54:04.000,2021-04-07 10:46:25.000000,2020-10-05 06:14:18,178.0,,34,10.0,29.0,17.0,17.0,389,A python package for animating plots build on matplotlib.,7.0,17,False,2020-10-05 06:20:52.000,0.4.2,10.0,animatplot,conda-forge/animatplot,,,,35.0,33.0,https://pypi.org/project/animatplot,2020-10-05 06:20:52.000,2.0,294.0,498.0,https://anaconda.org/conda-forge/animatplot,2020-10-06 02:02:00.460,7753.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n824,carefree-learn,carefree0910/carefree-learn,tabular,,https://github.com/carefree0910/carefree-learn,https://github.com/carefree0910/carefree-learn,MIT,2020-06-17 17:44:17.000,2022-04-16 04:22:37.000000,2022-04-16 04:21:12,3201.0,6.0,30,10.0,1.0,,80.0,360,Deep Learning PyTorch.,1.0,17,True,2022-01-29 03:42:09.000,0.2.2,20.0,carefree-learn,,,,['pytorch'],2.0,2.0,https://pypi.org/project/carefree-learn,2021-10-29 05:36:03.000,,132.0,132.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,\n825,datmo,datmo/datmo,ml-experiments,,https://github.com/datmo/datmo,https://github.com/datmo/datmo,MIT,2017-11-03 05:46:43.000,2022-01-06 22:27:34.000000,2019-11-29 00:48:44,1051.0,,28,10.0,120.0,42.0,149.0,340,Open source production model management tool for data scientists.,6.0,17,False,2018-12-07 06:16:42.000,0.0.40,41.0,datmo,,,,,5.0,5.0,https://pypi.org/project/datmo,2018-12-07 06:16:42.000,,62.0,62.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n826,scikit-tda,scikit-tda/scikit-tda,sklearn-utils,,https://github.com/scikit-tda/scikit-tda,https://github.com/scikit-tda/scikit-tda,MIT,2018-04-13 21:00:31.000,2022-03-13 16:33:15.000000,2022-03-13 16:33:15,64.0,4.0,43,15.0,7.0,15.0,4.0,339,Topological Data Analysis for Python.,4.0,17,True,2021-08-03 00:23:20.000,1.0.0,4.0,scikit-tda,,,,['sklearn'],29.0,29.0,https://pypi.org/project/scikit-tda,2021-08-03 00:23:20.000,,591.0,591.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n827,DeepGraph,deepgraph/deepgraph,graph,,https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45.000,2022-04-19 08:20:13.909000,2021-06-14 10:58:10,162.0,,37,18.0,1.0,9.0,5.0,251,Analyze Data with Pandas-based Networks. Documentation:.,2.0,17,False,2020-10-01 13:20:38.000,0.2.3,13.0,deepgraph,conda-forge/deepgraph,,,['pandas'],3.0,3.0,https://pypi.org/project/deepgraph,2020-10-01 13:18:38.000,,366.0,2513.0,https://anaconda.org/conda-forge/deepgraph,2022-04-19 08:20:13.909,120260.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n828,textaugment,dsfsi/textaugment,nlp,,https://github.com/dsfsi/textaugment,https://github.com/dsfsi/textaugment,MIT,2019-05-06 12:28:19.000,2021-09-15 07:35:53.000000,2021-09-15 07:35:53,60.0,,42,5.0,4.0,10.0,13.0,232,TextAugment: Text Augmentation Library.,5.0,17,False,2020-11-05 15:04:26.000,1.3.4,8.0,textaugment,,,,,15.0,15.0,https://pypi.org/project/textaugment,2020-11-05 15:02:11.000,,2680.0,2681.0,,,,,,,,3.0,53.0,,,,,,,,,,,,,,,,,,,\n829,skift,shaypal5/skift,nlp,,https://github.com/shaypal5/skift,https://github.com/shaypal5/skift,MIT,2018-02-03 11:37:21.000,2022-02-14 13:45:27.000000,2022-02-14 13:45:24,139.0,2.0,24,10.0,8.0,1.0,10.0,230,scikit-learn wrappers for Python fastText.,9.0,17,False,2022-02-14 13:45:54.000,0.0.23,18.0,skift,,,,['sklearn'],12.0,12.0,https://pypi.org/project/skift,2022-02-14 13:44:18.000,,588.0,588.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n830,skggm,skggm/skggm,sklearn-utils,,https://github.com/skggm/skggm,https://github.com/skggm/skggm,MIT,2016-06-11 18:35:56.000,2022-03-11 01:14:19.000000,2022-03-11 01:14:19,702.0,1.0,35,10.0,58.0,28.0,47.0,202,Scikit-learn compatible estimation of general graphical models.,6.0,17,False,2018-09-12 01:12:49.000,0.2.8,6.0,skggm,,,,['sklearn'],10.0,8.0,https://pypi.org/project/skggm,2018-09-12 01:12:49.000,2.0,54.0,54.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n831,chitra,gradsflow/chitra,ml-experiments,,https://github.com/gradsflow/chitra,https://github.com/gradsflow/chitra,Apache-2.0,2020-01-23 14:17:54.000,2022-04-13 05:48:40.000000,2022-04-13 05:45:13,365.0,2.0,35,5.0,130.0,5.0,34.0,189,\"A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model..\",14.0,17,False,2021-11-26 17:10:22.000,0.2.0,38.0,chitra,conda-forge/chitra,,,,,,https://pypi.org/project/chitra,2022-01-09 08:49:42.000,,580.0,648.0,https://anaconda.org/conda-forge/chitra,2022-01-24 02:31:36.059,206.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n832,flupy,olirice/flupy,data-pipelines,,https://github.com/olirice/flupy,https://github.com/olirice/flupy,MIT,2018-01-06 16:46:04.000,2022-02-18 14:51:19.000000,2022-02-17 15:29:05,197.0,2.0,12,7.0,16.0,3.0,9.0,171,Fluent data pipelines for python and your shell.,6.0,17,False,2021-10-15 12:35:59.000,1.1.9,37.0,flupy,,,,,1.0,,https://pypi.org/project/flupy,2021-10-15 12:35:59.000,1.0,60804.0,60804.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n833,OpenNRE,thunlp/OpenNRE,nlp,,https://github.com/thunlp/OpenNRE,https://github.com/thunlp/OpenNRE,MIT,2017-02-26 07:37:12.000,2022-04-06 12:13:02.000000,2022-04-06 12:13:01,162.0,1.0,934,121.0,20.0,21.0,330.0,3608,An Open-Source Package for Neural Relation Extraction (NRE).,10.0,16,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n834,GraphEmbedding,shenweichen/GraphEmbedding,graph,,https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20.000,2022-03-18 09:26:37.000000,2020-10-18 09:32:47,28.0,,814,55.0,10.0,39.0,14.0,2719,Implementation and experiments of graph embedding algorithms.,8.0,16,False,,,,,,,,['sklearn'],17.0,17.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n835,automl-gs,minimaxir/automl-gs,hyperopt,,https://github.com/minimaxir/automl-gs,https://github.com/minimaxir/automl-gs,MIT,2019-01-13 18:57:44.000,2019-10-22 11:20:40.000000,2019-04-05 06:48:14,102.0,,164,58.0,10.0,26.0,6.0,1780,\"Provide an input CSV and a target field to predict, generate a model + code to run it.\",7.0,16,False,2019-04-05 06:51:04.000,0.2.1,2.0,automl_gs,,,,,,,https://pypi.org/project/automl_gs,2019-04-05 06:47:54.000,,31.0,31.0,,,,,,,,3.0,28.0,,,,,,,,,,,,,,,,,,,\n836,Xcessiv,reiinakano/xcessiv,hyperopt,,https://github.com/reiinakano/xcessiv,https://github.com/reiinakano/xcessiv,Apache-2.0,2017-03-07 18:18:25.000,2018-06-06 22:23:37.000000,2017-08-21 00:51:15,316.0,,109,54.0,34.0,22.0,13.0,1261,\"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.\",6.0,16,False,2017-08-21 00:53:25.000,0.5.1,34.0,xcessiv,,,,,2.0,1.0,https://pypi.org/project/xcessiv,2017-08-21 00:49:41.000,1.0,46.0,46.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n837,GraphGym,snap-stanford/GraphGym,graph,,https://github.com/snap-stanford/GraphGym,https://github.com/snap-stanford/GraphGym,MIT,2020-10-14 05:01:35.000,2022-03-25 19:14:18.000000,2022-03-25 19:14:18,70.0,7.0,113,20.0,13.0,4.0,22.0,981,Platform for designing and evaluating Graph Neural Networks (GNN).,5.0,16,True,2022-03-24 23:28:17.000,0.4.0,3.0,graphgym,,,,,2.0,2.0,https://pypi.org/project/graphgym,2022-03-24 23:19:13.000,,119.0,120.0,,,,,,,,3.0,11.0,,,,,,,,,,,,,,,,,,,\n838,XAI,EthicalML/xai,interpretability,,https://github.com/EthicalML/xai,https://github.com/EthicalML/xai,MIT,2019-01-11 20:00:09.000,2021-10-30 06:35:19.000000,2021-10-30 06:30:12,91.0,,120,43.0,5.0,2.0,7.0,809,XAI - An eXplainability toolbox for machine learning.,3.0,16,True,2021-10-30 06:35:19.000,0.1.0,6.0,xai,,,,,19.0,13.0,https://pypi.org/project/xai,2021-10-30 06:33:26.000,6.0,133.0,133.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n839,HyperparameterHunter,HunterMcGushion/hyperparameter_hunter,hyperopt,,https://github.com/HunterMcGushion/hyperparameter_hunter,https://github.com/HunterMcGushion/hyperparameter_hunter,MIT,2018-06-01 23:17:00.000,2021-01-20 03:52:41.000000,2021-01-20 03:52:40,1096.0,,88,25.0,101.0,37.0,84.0,688,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries.,4.0,16,False,2019-08-06 09:09:45.000,3.0.0,16.0,hyperparameter-hunter,,,,,2.0,,https://pypi.org/project/hyperparameter-hunter,2019-08-06 08:52:20.000,2.0,89.0,96.0,,,,,,,,3.0,331.0,,,,,,,,,,,,,,,,,,,\n840,FlashTorch,MisaOgura/flashtorch,interpretability,,https://github.com/MisaOgura/flashtorch,https://github.com/MisaOgura/flashtorch,MIT,2019-03-22 13:00:57.000,2021-06-30 12:46:02.000000,2021-04-27 11:10:20,127.0,,82,19.0,14.0,10.0,22.0,659,Visualization toolkit for neural networks in PyTorch! Demo --.,2.0,16,True,2020-05-29 14:39:38.000,0.1.3,12.0,flashtorch,,,,['pytorch'],10.0,10.0,https://pypi.org/project/flashtorch,2020-05-29 14:38:32.000,,239.0,239.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n841,ThunderGBM,Xtra-Computing/thundergbm,ml-frameworks,,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08.000,2021-11-23 01:55:15.000000,2021-01-05 04:22:15,606.0,,82,25.0,4.0,36.0,37.0,620,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,10.0,16,False,2020-05-01 23:16:25.000,0.3.16,24.0,thundergbm,,,,,,,https://pypi.org/project/thundergbm,2020-05-01 23:16:25.000,,40.0,40.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n842,kglib,vaticle/kglib,graph,,https://github.com/vaticle/kglib,https://github.com/vaticle/kglib,Apache-2.0,2018-09-16 16:46:48.000,2021-10-22 14:09:11.000000,2021-10-22 14:09:00,488.0,,89,33.0,98.0,12.0,50.0,497,Grakn Knowledge Graph Library (ML R&D).,7.0,16,True,2020-08-19 15:39:10.000,0.2.2,7.0,grakn-kglib,,,,,,,https://pypi.org/project/grakn-kglib,2020-08-19 15:39:10.000,,68.0,73.0,,,,,,,,3.0,211.0,,,,,,,,,,,,,,,,,,,\n843,parallelformers,tunib-ai/parallelformers,distributed-ml,,https://github.com/tunib-ai/parallelformers,https://github.com/tunib-ai/parallelformers,Apache-2.0,2021-07-17 12:50:43.000,2022-03-02 08:03:39.000000,2022-03-02 08:03:39,82.0,2.0,26,10.0,7.0,7.0,11.0,457,Parallelformers: An Efficient Model Parallelization Toolkit for Deployment.,4.0,16,True,2021-12-29 21:48:48.000,1.2.4,16.0,parallelformers,,,,,5.0,5.0,https://pypi.org/project/parallelformers,2021-12-29 21:47:16.000,,208.0,208.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n844,atspy,firmai/atspy,time-series-data,,https://github.com/firmai/atspy,https://github.com/firmai/atspy,MIT,2020-01-28 05:00:10.000,2022-02-10 01:20:22.000000,2021-12-18 09:26:18,99.0,,84,21.0,14.0,18.0,2.0,431,AtsPy: Automated Time Series Models in Python (by @firmai).,5.0,16,True,2020-11-12 16:10:48.000,zen,39.0,atspy,,,,,5.0,5.0,https://pypi.org/project/atspy,2020-04-24 18:16:15.000,,1654.0,1654.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n845,OpenRec,ylongqi/openrec,recommender-systems,,https://github.com/ylongqi/openrec,https://github.com/ylongqi/openrec,Apache-2.0,2017-11-29 16:04:40.000,2022-02-09 23:36:33.000000,2020-02-19 07:57:17,213.0,,84,37.0,43.0,5.0,12.0,392,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms.,11.0,16,False,2020-02-18 06:52:11.000,0.3.0,12.0,openrec,,,,,2.0,1.0,https://pypi.org/project/openrec,2020-02-18 06:52:11.000,1.0,31.0,31.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n846,Sematch,gsi-upm/sematch,graph,,https://github.com/gsi-upm/sematch,https://github.com/gsi-upm/sematch,Apache-2.0,2012-11-30 11:11:53.000,2020-11-05 21:20:52.000000,2019-03-27 03:17:24,122.0,,102,71.0,5.0,14.0,19.0,382,semantic similarity framework for knowledge graph.,5.0,16,False,2017-04-17 10:56:52.000,1.0.4,5.0,sematch,,,,,35.0,32.0,https://pypi.org/project/sematch,2017-04-17 10:56:52.000,3.0,119.0,119.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n847,Pywick,achaiah/pywick,pytorch-utils,,https://github.com/achaiah/pywick,https://github.com/achaiah/pywick,MIT,2019-03-25 15:42:47.000,2022-02-04 15:57:11.000000,2021-10-22 03:09:17,149.0,,38,15.0,39.0,2.0,12.0,369,High-level batteries-included neural network training library for Pytorch.,4.0,16,True,2021-10-22 03:19:11.000,0.6.5,8.0,pywick,,,,['pytorch'],6.0,6.0,https://pypi.org/project/pywick,2021-10-22 03:19:11.000,,38.0,38.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n848,tfdeploy,riga/tfdeploy,model-serialisation,,https://github.com/riga/tfdeploy,https://github.com/riga/tfdeploy,BSD-3-Clause,2016-03-07 13:08:21.000,2021-01-08 09:52:54.000000,2021-01-08 09:52:49,170.0,,38,23.0,5.0,11.0,23.0,347,Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.,4.0,16,False,2017-03-30 10:51:26.000,0.4.2,22.0,tfdeploy,,,,['tensorflow'],2.0,,https://pypi.org/project/tfdeploy,2017-03-30 10:51:26.000,2.0,25.0,25.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n849,Camphr,PKSHATechnology-Research/camphr,nlp,,https://github.com/PKSHATechnology-Research/camphr,https://github.com/PKSHATechnology-Research/camphr,Apache-2.0,2020-02-10 03:39:58.000,2021-08-18 06:06:52.000000,2021-08-18 06:06:51,1404.0,,17,5.0,215.0,2.0,26.0,343,Camphr - NLP libary for creating pipeline components.,7.0,16,True,2021-07-28 07:48:46.000,0.10.0,48.0,camphr,,,,['spacy'],2.0,,https://pypi.org/project/camphr,2021-07-28 07:48:46.000,2.0,584.0,584.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n850,pdvega,altair-viz/pdvega,data-viz,,https://github.com/altair-viz/pdvega,https://github.com/altair-viz/pdvega,MIT,2018-01-11 21:30:27.000,2019-03-29 16:09:14.000000,2019-03-29 16:09:13,177.0,,31,22.0,21.0,16.0,10.0,340,Interactive plotting for Pandas using Vega-Lite.,9.0,16,False,,,1.0,pdvega,,,,,71.0,64.0,https://pypi.org/project/pdvega,2018-02-01 04:56:43.000,7.0,109.0,109.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n851,data-describe,data-describe/data-describe,data-viz,,https://github.com/data-describe/data-describe,https://github.com/data-describe/data-describe,Apache-2.0,2020-05-04 17:58:14.000,2022-04-12 09:34:18.000000,2021-11-19 06:05:15,700.0,,17,14.0,247.0,70.0,175.0,291,datadescribe: Pythonic EDA Accelerator for Data Science.,14.0,16,False,,,5.0,data-describe,,,,,,,https://pypi.org/project/data-describe,2020-12-03 23:07:43.000,,527.0,527.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n852,Julius,adefossez/julius,audio,,https://github.com/adefossez/julius,https://github.com/adefossez/julius,MIT,2020-10-26 10:54:21.000,2022-01-28 09:28:20.000000,2022-01-28 09:27:02,66.0,1.0,16,8.0,8.0,2.0,9.0,264,Fast PyTorch based DSP for audio and 1D signals.,2.0,16,False,2021-10-20 08:30:11.000,0.2.6,10.0,julius,,,,['pytorch'],80.0,76.0,https://pypi.org/project/julius,2021-10-20 08:30:11.000,4.0,13821.0,13821.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n853,solt,MIPT-Oulu/solt,image,,https://github.com/Oulu-IMEDS/solt,https://github.com/Oulu-IMEDS/solt,MIT,2018-08-02 15:09:05.000,2021-10-12 22:58:52.000000,2020-04-09 06:44:39,336.0,,19,7.0,30.0,18.0,30.0,254,Streaming over lightweight data transformations.,4.0,16,False,2020-03-10 14:09:31.000,0.1.9,18.0,solt,,,,,32.0,29.0,https://pypi.org/project/solt,2020-03-10 14:09:31.000,3.0,114.0,114.0,,,,,,,,3.0,,,,,,,,,,,,,Oulu-IMEDS/solt,,,,,,,\n854,Parfit,jmcarpenter2/parfit,hyperopt,,https://github.com/jmcarpenter2/parfit,https://github.com/jmcarpenter2/parfit,MIT,2017-11-22 20:17:51.000,2020-04-04 19:26:44.000000,2020-04-04 19:26:37,127.0,,25,4.0,4.0,6.0,5.0,200,\"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..\",2.0,16,False,,,23.0,parfit,,,,['sklearn'],12.0,12.0,https://pypi.org/project/parfit,2018-10-11 22:03:16.000,,20604.0,20604.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n855,nx-altair,Zsailer/nx_altair,data-viz,,https://github.com/Zsailer/nx_altair,https://github.com/Zsailer/nx_altair,MIT,2018-05-13 00:10:12.000,2022-01-08 12:10:11.000000,2020-06-02 21:10:26,51.0,,22,11.0,14.0,6.0,4.0,189,Draw interactive NetworkX graphs with Altair.,3.0,16,False,2020-06-02 21:11:12.000,0.1.6,8.0,nx-altair,,,,['jupyter'],3.0,,https://pypi.org/project/nx-altair,2020-06-02 21:11:12.000,3.0,3474.0,3474.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n856,steppy,minerva-ml/steppy,ml-experiments,,https://github.com/minerva-ml/steppy,https://github.com/minerva-ml/steppy,MIT,2018-01-15 09:40:49.000,2018-11-23 09:49:59.000000,2018-11-23 09:47:34,69.0,,33,14.0,54.0,16.0,50.0,132,\"Lightweight, Python library for fast and reproducible experimentation.\",5.0,16,False,2018-11-23 09:49:59.000,0.1.16,16.0,steppy,,,,,48.0,43.0,https://pypi.org/project/steppy,2018-11-23 09:49:59.000,5.0,31.0,31.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n857,dabl,amueller/dabl,sklearn-utils,,https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49.000,2022-04-15 22:06:06.000000,2021-07-09 18:47:52,275.0,,9,3.0,3.0,1.0,,113,Data Analysis Baseline Library.,21.0,16,False,2021-07-09 19:20:43.000,0.2.2,12.0,dabl,,,,['sklearn'],,,https://pypi.org/project/dabl,2021-07-09 19:20:43.000,,2504.0,2504.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n858,mesh-transformer-jax,kingoflolz/mesh-transformer-jax,distributed-ml,,https://github.com/kingoflolz/mesh-transformer-jax,https://github.com/kingoflolz/mesh-transformer-jax,Apache-2.0,2021-03-13 23:31:13.000,2022-01-28 07:38:06.000000,2022-01-28 07:38:03,142.0,1.0,509,67.0,48.0,18.0,152.0,4036,Model parallel transformers in JAX and Haiku.,23.0,15,True,,,,,,,,['jax'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n859,StarSpace,facebookresearch/StarSpace,ml-frameworks,,https://github.com/facebookresearch/StarSpace,https://github.com/facebookresearch/StarSpace,MIT,2017-06-28 17:50:18.000,2021-11-03 16:23:46.000000,2019-12-13 19:03:25,138.0,,506,181.0,109.0,50.0,148.0,3747,\"Learning embeddings for classification, retrieval and ranking.\",17.0,15,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n860,OpenKE,thunlp/OpenKE,graph,,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,MIT,2017-10-08 11:20:23.000,2021-09-29 09:46:39.000000,2021-04-06 08:24:50,113.0,,864,97.0,25.0,68.0,338.0,3001,An Open-Source Package for Knowledge Embedding (KE).,10.0,15,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n861,Euler,alibaba/euler,graph,,https://github.com/alibaba/euler,https://github.com/alibaba/euler,Apache-2.0,2019-01-10 06:32:32.000,2021-12-30 02:31:11.000000,2020-07-29 05:53:01,8.0,,549,137.0,25.0,214.0,102.0,2752,A distributed graph deep learning framework.,5.0,15,False,2020-07-07 02:24:18.000,2.0.0,2.0,euler-gl,,,,['tensorflow'],,,https://pypi.org/project/euler-gl,2019-04-10 01:53:45.000,,13.0,13.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n862,GraphSAGE,williamleif/GraphSAGE,graph,,https://github.com/williamleif/GraphSAGE,https://github.com/williamleif/GraphSAGE,MIT,2017-05-29 15:36:22.000,2022-03-16 15:14:25.000000,2018-09-19 19:27:00,59.0,,751,74.0,28.0,96.0,59.0,2697,Representation learning on large graphs using stochastic graph convolutions.,9.0,15,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n863,ZhuSuan,thu-ml/zhusuan,probabilistics,,https://github.com/thu-ml/zhusuan,https://github.com/thu-ml/zhusuan,MIT,2016-07-18 13:31:38.000,2020-01-09 14:51:27.000000,2019-08-05 10:00:04,439.0,,406,144.0,70.0,8.0,53.0,2121,\"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.\",20.0,15,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n864,micrograd,karpathy/micrograd,pytorch-utils,,https://github.com/karpathy/micrograd,https://github.com/karpathy/micrograd,MIT,2020-04-13 04:31:18.000,2021-06-24 12:28:13.000000,2020-04-18 19:15:25,24.0,,158,50.0,8.0,2.0,3.0,2040,A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.,2.0,15,False,2020-04-18 19:06:59.000,0.1.0,1.0,micrograd,,,,['pytorch'],8.0,7.0,https://pypi.org/project/micrograd,2020-04-18 19:06:59.000,1.0,25.0,25.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n865,OpenNE,thunlp/OpenNE,graph,,https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20.000,2022-04-19 09:48:55.000000,2019-08-12 10:56:27,98.0,,471,66.0,24.0,50.0,96.0,1559,An Open-Source Package for Network Embedding (NE).,10.0,15,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n866,Botflow,kkyon/botflow,data-pipelines,,https://github.com/kkyon/botflow,https://github.com/kkyon/botflow,BSD-3-Clause,2018-08-20 03:13:31.000,2020-12-31 09:03:22.000000,2019-05-23 14:40:50,192.0,,102,55.0,28.0,3.0,2.0,1186,\"Python Fast Dataflow programming framework for Data pipeline work( Web Crawler,Machine Learning,Quantitative..\",11.0,15,False,2018-09-14 14:38:32.000,0.2.0,5.0,botflow,,,,,1.0,1.0,https://pypi.org/project/botflow,2018-09-14 14:38:32.000,,49.0,49.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n867,BLINK,facebookresearch/BLINK,nlp,,https://github.com/facebookresearch/BLINK,https://github.com/facebookresearch/BLINK,MIT,2019-09-25 21:27:44.000,2022-03-01 19:09:39.000000,2021-04-02 03:03:34,211.0,,156,37.0,33.0,51.0,31.0,852,Entity Linker solution.,16.0,15,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n868,Translate,pytorch/translate,nlp,,https://github.com/pytorch/translate,https://github.com/pytorch/translate,BSD-3-Clause,2018-04-24 16:44:04.000,2021-10-06 18:21:48.000000,2021-10-06 18:21:42,810.0,,174,44.0,667.0,66.0,27.0,732,Translate - a PyTorch Language Library.,87.0,15,True,,,1.0,pytorch-translate,,,,['pytorch'],,,https://pypi.org/project/pytorch-translate,2018-05-01 19:59:40.000,,7.0,7.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n869,Anchor,marcotcr/anchor,interpretability,,https://github.com/marcotcr/anchor,https://github.com/marcotcr/anchor,BSD-2-Clause,2018-02-02 23:38:50.000,2021-11-17 21:38:50.000000,2021-11-17 21:38:50,45.0,,97,24.0,10.0,19.0,51.0,698,Code for High-Precision Model-Agnostic Explanations paper.,10.0,15,True,,,8.0,anchor_exp,,,,,,,https://pypi.org/project/anchor_exp,2020-06-26 20:56:50.000,,940.0,940.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n870,SpeedTorch,Santosh-Gupta/SpeedTorch,gpu-utilities,,https://github.com/Santosh-Gupta/SpeedTorch,https://github.com/Santosh-Gupta/SpeedTorch,MIT,2019-09-07 18:57:52.000,2020-02-21 23:13:29.000000,2020-02-21 23:13:28,170.0,,40,26.0,4.0,4.0,2.0,650,Library for faster pinned CPU - GPU transfer in Pytorch.,3.0,15,False,2020-01-06 05:27:17.000,0.1.6,14.0,SpeedTorch,,,,['pytorch'],5.0,3.0,https://pypi.org/project/SpeedTorch,2020-01-06 05:27:17.000,2.0,37.0,37.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n871,caliban,google/caliban,ml-experiments,,https://github.com/google/caliban,https://github.com/google/caliban,Apache-2.0,2020-06-02 18:12:50.000,2022-02-26 01:11:41.000000,2020-09-25 16:15:35,254.0,,46,19.0,80.0,15.0,12.0,419,\"Research workflows made easy, locally and in the Cloud.\",9.0,15,False,2020-09-12 19:41:23.000,0.4.1,10.0,caliban,,,,,,,https://pypi.org/project/caliban,2020-09-12 19:41:23.000,,132.0,132.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n872,VizSeq,facebookresearch/vizseq,nlp,,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38.000,2022-04-11 19:55:04.000000,2022-04-11 19:55:01,62.0,5.0,47,16.0,48.0,7.0,9.0,390,\"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).\",3.0,15,True,2020-08-07 01:13:52.000,0.1.15,16.0,vizseq,,,,,5.0,5.0,https://pypi.org/project/vizseq,2020-08-07 01:13:52.000,,76.0,76.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n873,Adversary,airbnb/artificial-adversary,adversarial,,https://github.com/airbnb/artificial-adversary,https://github.com/airbnb/artificial-adversary,MIT,2018-08-08 04:42:11.000,2022-01-07 11:24:14.000000,2018-08-29 15:31:30,15.0,,51,21.0,6.0,6.0,,363,Tool to generate adversarial text examples and test machine learning models against them.,5.0,15,False,2018-08-29 15:14:41.000,1.1.1,3.0,Adversary,conda-forge/artificial-adversary,,,,8.0,7.0,https://pypi.org/project/Adversary,2018-08-29 15:14:41.000,1.0,51.0,175.0,https://anaconda.org/conda-forge/artificial-adversary,2021-04-30 19:05:10.636,2606.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n874,interpret-text,interpretml/interpret-text,interpretability,,https://github.com/interpretml/interpret-text,https://github.com/interpretml/interpret-text,MIT,2019-09-04 16:39:48.000,2022-04-09 05:51:30.000000,2021-12-06 17:38:41,146.0,,57,19.0,149.0,58.0,16.0,312,A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the..,17.0,15,True,2021-12-07 15:12:02.000,0.1.3,5.0,interpret-text,,,,['jupyter'],,,https://pypi.org/project/interpret-text,2021-12-07 01:57:31.000,,80.0,80.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n875,ExplainX.ai,explainX/explainx,interpretability,,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15.000,2022-01-07 00:02:17.000000,2021-02-02 09:03:57,184.0,,41,8.0,12.0,10.0,17.0,304,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,4.0,15,False,2021-02-07 11:06:21.000,2.407,56.0,explainx,,,,,,,https://pypi.org/project/explainx,2021-02-04 16:44:24.000,,2749.0,2749.0,,,,,,,,3.0,4.0,,,,,,,,,,,,,,,,,,,\n876,NeuralCompression,facebookresearch/NeuralCompression,others,,https://github.com/facebookresearch/NeuralCompression,https://github.com/facebookresearch/NeuralCompression,MIT,2021-07-09 15:14:13.000,2022-04-05 16:38:51.000000,2022-04-05 16:38:48,93.0,4.0,19,13.0,121.0,18.0,44.0,249,A collection of tools for neural compression enthusiasts.,3.0,15,False,2022-01-12 14:55:21.000,0.2.1,3.0,neuralcompression,,,,,,,https://pypi.org/project/neuralcompression,2022-01-12 14:55:21.000,,45.0,45.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n877,Headliner,as-ideas/headliner,nlp,,https://github.com/as-ideas/headliner,https://github.com/as-ideas/headliner,MIT,2019-09-30 11:33:28.000,2021-03-26 07:19:57.000000,2020-02-14 09:03:27,276.0,,41,16.0,7.0,1.0,13.0,231,Easy training and deployment of seq2seq models.,2.0,15,False,2020-01-24 09:06:29.000,1.0.2,30.0,headliner,,,,,4.0,3.0,https://pypi.org/project/headliner,2020-01-24 09:06:29.000,1.0,150.0,150.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n878,NeuralQA,victordibia/neuralqa,nlp,,https://github.com/victordibia/neuralqa,https://github.com/victordibia/neuralqa,MIT,2020-05-19 03:55:56.000,2022-03-27 17:43:28.000000,2020-12-16 17:41:37,312.0,,31,5.0,60.0,31.0,8.0,217,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,3.0,15,False,,,27.0,neuralqa,,,,,4.0,4.0,https://pypi.org/project/neuralqa,2020-09-18 17:54:50.000,,79.0,79.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n879,nptsne,biovault/nptsne,data-viz,,https://github.com/biovault/nptsne,https://github.com/biovault/nptsne,Apache-2.0,2019-06-28 08:40:25.000,2022-03-16 13:45:37.000000,2021-02-03 08:52:27,857.0,,2,3.0,1.0,7.0,6.0,28,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,3.0,15,False,2021-12-23 15:53:08.000,1.2.0,3.0,nptsne,,,,,3.0,3.0,https://pypi.org/project/nptsne,2021-12-23 15:53:08.000,,165.0,165.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n880,upgini,upgini/upgini,tabular,,https://github.com/upgini/upgini,https://github.com/upgini/upgini,BSD-3-Clause,2021-12-08 21:53:58.000,2022-04-21 12:45:18.000000,2022-04-21 12:32:52,142.0,82.0,3,1.0,50.0,,,23,Features search library for supervised machine learning searches through thousands of ready-to-use features from..,8.0,15,False,2021-12-03 01:26:10.000,0.9.0,87.0,upgini,,,,,,,https://pypi.org/project/upgini,2022-04-21 12:45:18.000,,1310.0,1310.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n881,Medical Detection Toolkit,MIC-DKFZ/medicaldetectiontoolkit,medical-data,,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,Apache-2.0,2018-10-12 12:34:57.000,2022-04-04 08:30:04.000000,2022-04-04 08:29:54,41.0,1.0,278,51.0,13.0,40.0,85.0,1120,\"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..\",3.0,14,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n882,tsaug,arundo/tsaug,time-series-data,,https://github.com/arundo/tsaug,https://github.com/arundo/tsaug,Apache-2.0,2019-09-27 00:38:05.000,2020-04-17 02:55:58.000000,2020-04-17 02:46:38,10.0,,30,10.0,7.0,7.0,3.0,238,A Python package for time series augmentation.,4.0,14,False,2020-04-17 02:50:25.000,0.2.1,4.0,tsaug,,,,,,,https://pypi.org/project/tsaug,2020-04-17 02:50:25.000,,2034.0,2034.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n883,backprop,backprop-ai/backprop,model-serialisation,,https://github.com/backprop-ai/backprop,https://github.com/backprop-ai/backprop,Apache-2.0,2020-10-30 15:25:14.000,2021-05-03 09:15:25.000000,2021-05-03 09:15:21,219.0,,12,16.0,14.0,4.0,4.0,226,\"Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.\",8.0,14,False,2021-04-20 13:53:12.000,0.1.2,14.0,backprop,,,,,,,https://pypi.org/project/backprop,2021-04-20 13:53:12.000,,181.0,181.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n884,TorchDrift,torchdrift/torchdrift,pytorch-utils,,https://github.com/TorchDrift/TorchDrift,https://github.com/TorchDrift/TorchDrift,Apache-2.0,2021-02-10 09:27:48.000,2021-06-29 11:52:29.000000,2021-06-29 11:52:29,33.0,,7,10.0,4.0,4.0,5.0,206,Drift Detection for your PyTorch Models.,2.0,14,False,2021-03-08 12:21:48.000,0.1.0,3.0,torchdrift,,,,['pytorch'],18.0,18.0,https://pypi.org/project/torchdrift,2021-03-08 12:51:05.000,,173.0,173.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n885,textvec,textvec/textvec,nlp,,https://github.com/textvec/textvec,https://github.com/textvec/textvec,MIT,2018-04-12 14:03:53.000,2020-12-03 14:23:11.000000,2020-12-03 14:23:04,70.0,,22,8.0,14.0,3.0,6.0,184,Text vectorization tool to outperform TFIDF for classification tasks.,9.0,14,False,2019-09-12 07:41:04.000,2.0,4.0,textvec,,,,['sklearn'],4.0,4.0,https://pypi.org/project/textvec,2020-12-03 14:17:09.000,,150.0,150.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n886,HugsVision,qanastek/HugsVision,image,,https://github.com/qanastek/HugsVision,https://github.com/qanastek/HugsVision,MIT,2021-08-12 21:46:08.000,2021-12-25 03:44:41.000000,2021-12-25 03:44:33,70.0,,13,3.0,1.0,14.0,20.0,158,HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision.,2.0,14,False,2021-12-19 22:13:56.000,0.75.2,76.0,hugsvision,,,,['huggingface'],3.0,3.0,https://pypi.org/project/hugsvision,2021-12-19 22:27:31.000,,525.0,525.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n887,ipyexperiments,stas00/ipyexperiments,gpu-utilities,,https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40.000,2021-12-07 18:50:39.000000,2021-12-07 18:50:38,203.0,,11,6.0,2.0,1.0,5.0,145,jupyter/ipython experiment containers for GPU and general RAM re-use.,3.0,14,False,2021-12-07 18:44:34.000,0.1.28,24.0,ipyexperiments,,,,['jupyter'],7.0,5.0,https://pypi.org/project/ipyexperiments,2021-12-07 18:44:34.000,2.0,140.0,140.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n888,numerizer,jaidevd/numerizer,nlp,,https://github.com/jaidevd/numerizer,https://github.com/jaidevd/numerizer,MIT,2019-12-02 07:00:34.000,2022-01-07 06:54:29.000000,2022-01-07 06:54:29,18.0,,14,5.0,7.0,2.0,4.0,142,A Python module to convert natural language numerics into ints and floats.,3.0,14,False,2021-04-03 04:33:45.000,0.2.0,8.0,numerizer,,,,,18.0,18.0,https://pypi.org/project/numerizer,2021-04-03 04:33:45.000,,2699.0,2699.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n889,Torch Points 3D,nicolas-chaulet/torch-points3d,image,,https://github.com/nicolas-chaulet/torch-points3d,https://github.com/nicolas-chaulet/torch-points3d,BSD-3-Clause,2022-01-09 14:41:37.000,2021-12-10 20:17:18.000000,2021-12-10 20:17:18,1788.0,,9,,,,,46,Pytorch framework for doing deep learning on point clouds.,29.0,14,False,2021-04-30 09:00:22.000,1.3.0,14.0,torch-points3d,,,,['pytorch'],,,https://pypi.org/project/torch-points3d,2021-04-30 09:00:22.000,,765.0,765.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n890,LazyCluster,ml-tooling/lazycluster,distributed-ml,,https://github.com/ml-tooling/lazycluster,https://github.com/ml-tooling/lazycluster,Apache-2.0,2019-08-07 08:05:13.000,2022-03-29 22:07:14.000000,2021-08-19 13:59:11,444.0,,9,5.0,14.0,,,43,Distributed machine learning made simple.,2.0,14,False,2020-12-14 15:25:59.000,0.2.4,5.0,lazycluster,,,,,12.0,12.0,https://pypi.org/project/lazycluster,2020-12-14 14:49:33.000,,73.0,73.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n891,ENAS,carpedm20/ENAS-pytorch,hyperopt,,https://github.com/carpedm20/ENAS-pytorch,https://github.com/carpedm20/ENAS-pytorch,Apache-2.0,2018-02-15 04:54:37.000,2020-12-09 18:13:03.000000,2020-06-16 07:23:32,53.0,,466,113.0,11.0,37.0,7.0,2538,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,6.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n892,traingenerator,jrieke/traingenerator,others,,https://github.com/jrieke/traingenerator,https://github.com/jrieke/traingenerator,MIT,2020-12-03 16:47:16.000,2021-06-28 17:42:41.000000,2021-04-29 13:46:13,117.0,,164,38.0,9.0,13.0,3.0,1164,A web app to generate template code for machine learning.,3.0,13,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n893,ptgnn,microsoft/ptgnn,graph,,https://github.com/microsoft/ptgnn,https://github.com/microsoft/ptgnn,MIT,2020-05-12 08:42:30.000,2022-02-01 17:31:29.000000,2022-02-01 17:31:29,99.0,1.0,38,11.0,17.0,2.0,5.0,321,A PyTorch Graph Neural Network Library.,7.0,13,True,2021-10-21 21:43:04.000,0.10.4,18.0,ptgnn,,,,['pytorch'],1.0,1.0,https://pypi.org/project/ptgnn,2021-10-21 21:43:04.000,,61.0,61.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n894,TransferNLP,feedly/transfer-nlp,nlp,,https://github.com/feedly/transfer-nlp,https://github.com/feedly/transfer-nlp,MIT,2019-03-12 20:00:31.000,2020-05-28 19:00:02.000000,2020-05-28 17:31:53,465.0,,18,13.0,57.0,4.0,20.0,289,NLP library designed for reproducible experimentation management.,7.0,13,False,2020-05-28 19:00:02.000,0.1.6,8.0,transfer-nlp,,,,['pytorch'],,,https://pypi.org/project/transfer-nlp,2020-05-28 19:00:02.000,,138.0,138.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n895,Maze,enlite-ai/maze,reinforcement-learning,,https://github.com/enlite-ai/maze,https://github.com/enlite-ai/maze,Custom,2021-02-11 08:26:37.000,2022-03-09 11:42:07.000000,2021-12-13 15:30:15,947.0,,6,7.0,24.0,1.0,2.0,205,Maze Applied Reinforcement Learning Framework.,3.0,13,False,2021-12-13 16:04:42.000,0.1.8,20.0,maze-rl,,enliteai/maze,,['pytorch'],1.0,1.0,https://pypi.org/project/maze-rl,2021-12-13 16:04:42.000,,56.0,72.0,,,,https://hub.docker.com/r/enliteai/maze,2021-06-24 21:00:27.801118,,236.0,3.0,,,,,,,,,,,,,,,,,,,,\n896,ONNX-T5,abelriboulot/onnxt5,nlp,,https://github.com/abelriboulot/onnxt5,https://github.com/abelriboulot/onnxt5,Apache-2.0,2020-08-01 09:38:35.000,2021-01-28 09:26:15.000000,2021-01-28 09:24:52,74.0,,23,7.0,4.0,7.0,8.0,196,\"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..\",3.0,13,False,2021-01-28 09:26:15.000,0.1.8,11.0,onnxt5,,,,,1.0,1.0,https://pypi.org/project/onnxt5,2021-01-28 09:26:15.000,,82.0,82.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n897,Auptimizer,LGE-ARC-AdvancedAI/auptimizer,hyperopt,,https://github.com/LGE-ARC-AdvancedAI/auptimizer,https://github.com/LGE-ARC-AdvancedAI/auptimizer,GPL-3.0,2019-09-12 01:08:37.000,2022-04-09 12:48:12.000000,2021-03-03 01:30:06,79.0,,22,21.0,27.0,1.0,5.0,183,An automatic ML model optimization tool.,11.0,13,False,2021-03-03 02:00:23.000,2.0,7.0,auptimizer,,,,,,,https://pypi.org/project/auptimizer,2021-03-02 02:40:32.000,,138.0,138.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n898,ModelChimp,ModelChimp/modelchimp,ml-experiments,,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03.000,2022-04-20 23:16:28.000000,2021-08-01 07:11:57,363.0,,12,3.0,940.0,4.0,10.0,124,Experiment tracking for machine and deep learning projects.,3.0,13,False,2019-04-09 10:43:15.000,0.4.0,37.0,modelchimp,,modelchimp/modelchimp-server,,,,,https://pypi.org/project/modelchimp,2019-04-09 10:41:20.000,,88.0,103.0,,,,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,654.0,3.0,,,,,,,,,,,,,,,,,,,,\n899,DeepNeuro,QTIM-Lab/DeepNeuro,medical-data,,https://github.com/QTIM-Lab/DeepNeuro,https://github.com/QTIM-Lab/DeepNeuro,MIT,2017-06-01 19:36:34.000,2020-06-24 13:00:15.000000,2020-06-24 13:00:14,285.0,,34,15.0,18.0,27.0,16.0,110,A deep learning python package for neuroimaging data. Made by:.,6.0,13,False,2019-06-10 21:04:04.000,0.2.3,6.0,deepneuro,,,,,1.0,1.0,https://pypi.org/project/deepneuro,2019-06-10 21:04:04.000,,36.0,36.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n900,datajob,vincentclaes/datajob,data-pipelines,,https://github.com/vincentclaes/datajob,https://github.com/vincentclaes/datajob,Apache-2.0,2020-10-22 19:07:31.000,2022-04-06 07:55:45.000000,2022-04-06 07:52:10,396.0,2.0,13,4.0,73.0,17.0,40.0,88,Build and deploy a serverless data pipeline on AWS with no effort.,7.0,13,False,2021-08-13 11:25:15.000,0.10.1,11.0,datajob,,,,,,,https://pypi.org/project/datajob,2021-08-13 11:25:15.000,,59.0,59.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n901,contextual-ai,SAP/contextual-ai,interpretability,,https://github.com/SAP/contextual-ai,https://github.com/SAP/contextual-ai,Apache-2.0,2020-05-12 07:15:56.000,2021-11-11 10:54:41.000000,2021-11-11 10:53:33,630.0,,10,11.0,19.0,4.0,11.0,80,\"Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference -..\",12.0,13,False,2021-01-25 04:56:57.000,0.0.2,2.0,contextual-ai,,,,,,,https://pypi.org/project/contextual-ai,2021-01-25 04:56:57.000,,224.0,224.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n902,surpriver,tradytics/surpriver,financial-data,,https://github.com/tradytics/surpriver,https://github.com/tradytics/surpriver,GPL-3.0,2020-08-30 07:56:22.000,2021-08-13 08:02:31.000000,2020-09-21 04:32:05,64.0,,271,86.0,11.0,10.0,6.0,1440,Find big moving stocks before they move using machine learning and anomaly detection.,6.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n903,MedicalNet,Tencent/MedicalNet,medical-data,,https://github.com/Tencent/MedicalNet,https://github.com/Tencent/MedicalNet,MIT,2019-07-17 09:53:10.000,2021-09-16 22:05:49.000000,2020-08-27 13:37:26,26.0,,353,65.0,4.0,50.0,14.0,1363,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,1.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n904,GraphVite,DeepGraphLearning/graphvite,graph,,https://github.com/DeepGraphLearning/graphvite,https://github.com/DeepGraphLearning/graphvite,Apache-2.0,2019-07-16 15:48:20.000,2021-01-14 02:19:03.000000,2021-01-14 02:18:46,15.0,,135,28.0,,39.0,58.0,1020,GraphVite: A General and High-performance Graph Embedding System.,1.0,12,False,,,4.0,,milagraph/graphvite,,,,,,,,,,132.0,https://anaconda.org/milagraph/graphvite,2020-03-19 18:21:30.972,4237.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n905,deltapy,firmai/deltapy,tabular,,https://github.com/firmai/deltapy,https://github.com/firmai/deltapy,MIT,2020-04-08 05:27:53.000,2022-03-01 16:13:48.000000,2022-03-01 16:13:48,42.0,1.0,42,15.0,2.0,2.0,1.0,419,DeltaPy - Tabular Data Augmentation (by @firmai).,4.0,12,True,2020-11-12 16:13:21.000,zen,11.0,deltapy,,,,,2.0,2.0,https://pypi.org/project/deltapy,2020-04-09 01:48:32.000,,245.0,245.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n906,rliable,google-research/rliable,reinforcement-learning,,https://github.com/google-research/rliable,https://github.com/google-research/rliable,Apache-2.0,2021-08-20 00:41:06.000,2022-04-18 03:54:32.000000,2022-04-18 03:54:32,49.0,13.0,21,7.0,3.0,1.0,7.0,388,\"[NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of..\",2.0,12,True,,,,rliable`,,,,,8.0,8.0,https://pypi.org/project/rliable`,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n907,autodist,petuum/autodist,distributed-ml,,https://github.com/petuum/autodist,https://github.com/petuum/autodist,Apache-2.0,2020-06-29 19:45:38.000,2022-02-11 03:20:37.000000,2021-01-28 00:04:40,208.0,,23,16.0,50.0,11.0,1.0,120,Simple Distributed Deep Learning on TensorFlow.,11.0,12,False,,,2.0,autodist,,,,['tensorflow'],,,https://pypi.org/project/autodist,2020-07-16 05:36:19.000,,72.0,72.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n908,Hypermax,electricbrainio/hypermax,hyperopt,,https://github.com/electricbrainio/hypermax,https://github.com/electricbrainio/hypermax,BSD-3-Clause,2018-07-27 18:43:01.000,2020-08-02 18:08:50.000000,2020-08-02 18:08:46,207.0,,14,12.0,5.0,3.0,2.0,102,\"Better, faster hyper-parameter optimization.\",9.0,12,False,2019-10-23 15:40:12.000,0.5.1,11.0,hypermax,,,,,4.0,4.0,https://pypi.org/project/hypermax,2019-10-23 15:40:12.000,,33.0,33.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n909,Attribution Priors,suinleelab/attributionpriors,interpretability,,https://github.com/suinleelab/attributionpriors,https://github.com/suinleelab/attributionpriors,MIT,2019-06-24 23:54:24.000,2021-03-19 19:43:58.000000,2021-03-19 19:43:51,72.0,,10,5.0,,2.0,3.0,95,Tools for training explainable models using attribution priors.,6.0,12,False,2021-03-16 17:47:18.000,1.0.0,4.0,attributionpriors,,,,\"['tensorflow', 'pytorch']\",3.0,3.0,https://pypi.org/project/attributionpriors,2019-10-31 18:03:05.000,,48.0,48.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n910,nylon,Palashio/nylon,others,,https://github.com/Palashio/nylon,https://github.com/Palashio/nylon,MIT,2021-06-04 17:33:49.000,2021-07-29 20:34:04.000000,2021-07-23 19:37:10,185.0,,9,6.0,4.0,14.0,18.0,77,\"An intelligent, flexible grammar of machine learning.\",3.0,12,False,2021-06-25 14:27:32.000,0.0.7,8.0,nylon-ai,,,,,,,https://pypi.org/project/nylon-ai,2021-06-25 14:27:32.000,,40.0,40.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n911,model_search,google/model_search,hyperopt,,https://github.com/google/model_search,https://github.com/google/model_search,Apache-2.0,2021-01-19 18:26:34.000,2022-02-09 22:20:12.000000,2022-02-09 22:20:11,9.0,1.0,358,98.0,13.0,35.0,15.0,3194,AutoML algorithms for model architecture search at scale.,1.0,11,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n912,Devol,joeddav/devol,hyperopt,,https://github.com/joeddav/devol,https://github.com/joeddav/devol,MIT,2017-02-10 03:07:54.000,2020-07-05 21:56:59.000000,2020-07-05 21:56:58,116.0,,110,45.0,12.0,7.0,20.0,939,Genetic neural architecture search with Keras.,18.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n913,PySparNN,facebookresearch/pysparnn,nn-search,,https://github.com/facebookresearch/pysparnn,https://github.com/facebookresearch/pysparnn,BSD-3-Clause,2016-03-28 20:43:42.000,2020-10-02 06:01:01.000000,2018-01-31 16:50:23,147.0,,143,41.0,7.0,15.0,14.0,898,Approximate Nearest Neighbor Search for Sparse Data in Python!.,5.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n914,PandaPy,firmai/pandapy,data-containers,,https://github.com/firmai/pandapy,https://github.com/firmai/pandapy,MIT,2020-01-15 18:21:23.000,2021-10-20 11:36:04.000000,2021-10-20 11:36:04,85.0,,58,20.0,2.0,2.0,1.0,498,PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai).,3.0,11,True,2020-11-12 16:12:54.000,zen,22.0,pandapy,,,,['pandas'],1.0,1.0,https://pypi.org/project/pandapy,2020-01-25 23:10:32.000,,86.0,86.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n915,bias-detector,intuit/bias-detector,interpretability,,https://github.com/intuit/bias-detector,https://github.com/intuit/bias-detector,MIT,2021-02-02 16:58:52.000,2021-12-20 16:28:25.000000,2021-12-20 16:28:25,121.0,,11,11.0,15.0,,,37,Bias Detector is a python package for detecting bias in machine learning models.,4.0,11,False,2021-04-22 15:20:54.000,0.0.12,11.0,bias-detector,,,,,,,https://pypi.org/project/bias-detector,2021-04-22 15:20:54.000,,128.0,128.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n916,Mozart,aashrafh/Mozart,ocr,,https://github.com/aashrafh/Mozart,https://github.com/aashrafh/Mozart,Apache-2.0,2020-12-14 11:49:14.000,2021-05-05 17:21:44.000000,2021-05-05 17:21:44,60.0,,54,16.0,5.0,3.0,8.0,359,An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.,5.0,10,True,,,,,,,,['sklearn'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n917,spacy-dbpedia-spotlight,MartinoMensio/spacy-dbpedia-spotlight,nlp,,https://github.com/MartinoMensio/spacy-dbpedia-spotlight,https://github.com/MartinoMensio/spacy-dbpedia-spotlight,MIT,2020-04-29 19:35:04.000,2022-02-24 16:27:31.000000,2022-01-10 16:28:50,15.0,,8,6.0,3.0,6.0,2.0,57,A spaCy wrapper for DBpedia Spotlight.,2.0,10,False,2021-04-12 13:25:07.000,0.2.1,6.0,spacy-dbpedia-spotlight,,,,['spacy'],,,https://pypi.org/project/spacy-dbpedia-spotlight,2021-04-09 13:21:45.000,,297.0,297.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n918,dstack,dstackai/dstack,others,,https://github.com/dstackai/dstack,https://github.com/dstackai/dstack,GPL-3.0+,2022-01-04 10:29:46.000,2022-04-21 12:01:52.000000,2022-04-21 12:01:34,73.0,69.0,2,1.0,,13.0,,27,\"dstack: an open platform that automates data and training workflows, provisions infrastructure, and versions data and..\",2.0,10,False,2021-03-23 15:46:40.000,0.6.5,49.0,dstack,,,,,,,https://pypi.org/project/dstack,2022-04-14 16:37:34.000,,354.0,354.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n919,Hypertunity,gdikov/hypertunity,hyperopt,,https://github.com/gdikov/hypertunity,https://github.com/gdikov/hypertunity,Apache-2.0,2019-06-02 12:04:55.000,2020-01-26 23:14:49.000000,2020-01-26 22:53:29,64.0,,9,9.0,44.0,,2.0,121,A toolset for black-box hyperparameter optimisation.,2.0,9,False,2020-01-26 23:08:16.000,1.0.1,7.0,hypertunity,,,,,2.0,2.0,https://pypi.org/project/hypertunity,2020-01-26 23:08:16.000,,30.0,30.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n920,jaxdf,ucl-bug/jaxdf,jax-utils,,https://github.com/ucl-bug/jaxdf,https://github.com/ucl-bug/jaxdf,LGPL-3.0,2021-09-08 16:38:46.000,2022-03-18 14:08:51.000000,2022-03-18 14:08:51,128.0,41.0,2,7.0,63.0,2.0,,48,A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations.,2.0,9,False,2021-11-29 17:38:20.000,0.1.0-alpha,1.0,,,,,['jax'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n921,traintool,jrieke/traintool,ml-experiments,,https://github.com/jrieke/traintool,https://github.com/jrieke/traintool,Apache-2.0,2020-09-30 22:23:05.000,2021-03-12 01:44:04.000000,2021-03-12 01:43:14,122.0,,1,3.0,,,,9,Train off-the-shelf machine learning models in one line of code.,,8,False,2020-11-02 02:25:32.000,0.0.3,3.0,traintool,,,,\"['pytorch', 'tensorflow', 'sklearn']\",,,https://pypi.org/project/traintool,2020-11-02 02:25:32.000,,16.0,16.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n922,pyrtfolio,alvarobartt/pyrtfolio,financial-data,,https://github.com/alvarobartt/pyrtfolio,https://github.com/alvarobartt/pyrtfolio,GPL-3.0,2019-10-06 20:22:12.000,2020-11-20 09:58:42.000000,2020-11-20 09:58:41,19.0,,18,6.0,1.0,2.0,5.0,110,Python package to generate stock portfolios.,1.0,7,False,2020-03-13 20:04:08.000,0.2,3.0,pyrtfolio,,,,,,,https://pypi.org/project/pyrtfolio,2020-03-13 20:31:47.000,,41.0,41.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,\n"
  },
  {
    "path": "history/2022-04-28_changes.md",
    "content": "## 📈 Trending Up\n\n_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._\n\n- <b><a href=\"https://github.com/spotify/luigi\">luigi</a></b> (🥇38 ·  ⭐ 16K · 📈) - Luigi is a Python module that helps you build complex pipelines of.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/pytorch/fairseq\">fairseq</a></b> (🥇37 ·  ⭐ 17K · 📈) - Facebook AI Research Sequence-to-Sequence Toolkit written in.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/explosion/thinc\">Thinc</a></b> (🥈37 ·  ⭐ 2.5K · 📈) - A refreshing functional take on deep learning, compatible with your.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/horovod/horovod\">horovod</a></b> (🥇36 ·  ⭐ 12K · 📈) - Distributed training framework for TensorFlow, Keras, PyTorch,.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/stanfordnlp/stanza\">stanza</a></b> (🥇35 ·  ⭐ 6.1K · 📈) - Official Stanford NLP Python Library for Many Human Languages. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/yzhao062/pyod\">PyOD</a></b> (🥇35 ·  ⭐ 5.5K · 📈) - A Comprehensive and Scalable Python Library for Outlier Detection.. <code><a href=\"http://bit.ly/3rqEWVr\">BSD-2</a></code>\n- <b><a href=\"https://github.com/mdbloice/Augmentor\">Augmentor</a></b> (🥉28 ·  ⭐ 4.7K · 📈) - Image augmentation library in Python for machine learning. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/neoml-lib/neoml\">NeoML</a></b> (🥉21 ·  ⭐ 670 · 📈) - Machine learning framework for both deep learning and traditional.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/kingoflolz/mesh-transformer-jax\">mesh-transformer-jax</a></b> (🥉17 ·  ⭐ 4.1K · 📈) - Model parallel transformers in JAX and Haiku. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://jax.readthedocs.io/en/latest/_static/favicon.png\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/MartinoMensio/spacy-dbpedia-spotlight\">spacy-dbpedia-spotlight</a></b> (🥉15 ·  ⭐ 57 · 📈) - A spaCy wrapper for DBpedia Spotlight. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code>spacy</code>\n\n## 📉 Trending Down\n\n_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._\n\n- <b><a href=\"https://github.com/sympy/sympy\">SymPy</a></b> (🥇44 ·  ⭐ 9.1K · 📉) - A computer algebra system written in pure Python. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/flairNLP/flair\">flair</a></b> (🥇38 ·  ⭐ 12K · 📉) - A very simple framework for state-of-the-art Natural Language.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/imageio/imageio\">imageio</a></b> (🥇36 ·  ⭐ 1K · 📉) - Python library for reading and writing image data. <code><a href=\"http://bit.ly/3rqEWVr\">BSD-2</a></code>\n- <b><a href=\"https://github.com/pyecharts/pyecharts\">pyecharts</a></b> (🥈35 ·  ⭐ 12K · 📉) - Python Echarts Plotting Library. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1E\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/microsoft/recommenders\">Recommenders</a></b> (🥇34 ·  ⭐ 13K · 📉) - Best Practices on Recommendation Systems. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/VowpalWabbit/vowpal_wabbit\">Vowpal Wabbit</a></b> (🥈34 ·  ⭐ 7.9K · 📉) - Vowpal Wabbit is a machine learning system which pushes the.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/scikit-learn-contrib/imbalanced-learn\">imbalanced-learn</a></b> (🥇34 ·  ⭐ 5.8K · 📉) - A Python Package to Tackle the Curse of Imbalanced.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/nilearn/nilearn\">Nilearn</a></b> (🥈34 ·  ⭐ 830 · 📉) - Machine learning for NeuroImaging in Python. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1F\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/ranaroussi/yfinance\">yfinance</a></b> (🥇33 ·  ⭐ 7K · 📉) - Download market data from Yahoo! Finances API. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/pydata/numexpr\">numexpr</a></b> (🥈33 ·  ⭐ 1.8K · 📉) - Fast numerical array expression evaluator for Python, NumPy,.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n\n"
  },
  {
    "path": "history/2022-04-29_changes.md",
    "content": "## 📈 Trending Up\n\n_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._\n\n- <b><a href=\"https://github.com/dask/dask\">dask</a></b> (🥇44 ·  ⭐ 9.8K · 📈) - Parallel computing with task scheduling. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/dmlc/dgl\">dgl</a></b> (🥇36 ·  ⭐ 9.4K · 📈) - Python package built to ease deep learning on graph, on top of.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/mozilla/DeepSpeech\">DeepSpeech</a></b> (🥇34 ·  ⭐ 19K · 📈) - DeepSpeech is an open source embedded (offline, on-.. <code><a href=\"http://bit.ly/3postzC\">MPL-2.0</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/ROCmSoftwarePlatform/tensorflow-upstream\">tensorflow-upstream</a></b> (🥈33 ·  ⭐ 590 · 📈) - TensorFlow ROCm port. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1A\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/mlpack/mlpack\">mlpack</a></b> (🥉32 ·  ⭐ 4K · 📈) - mlpack: a scalable C++ machine learning library --. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code>\n- <b><a href=\"https://github.com/speechbrain/speechbrain\">speechbrain</a></b> (🥈32 ·  ⭐ 4K · 📈) - A PyTorch-based Speech Toolkit. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/sirfz/tesserocr\">tesserocr</a></b> (🥈29 ·  ⭐ 1.6K · 📈) - A Python wrapper for the tesseract-ocr API. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/explosion/spacy-transformers\">spacy-transformers</a></b> (🥈27 ·  ⭐ 1.1K · 📈) - Use pretrained transformers like BERT, XLNet and.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code>spacy</code>\n- <b><a href=\"https://github.com/PreferredAI/cornac\">Cornac</a></b> (🥉26 ·  ⭐ 570 · 📈) - A Comparative Framework for Multimodal Recommender Systems. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/DmitryUlyanov/Multicore-TSNE\">Multicore-TSNE</a></b> (🥉25 ·  ⭐ 1.7K · 💀) - Parallel t-SNE implementation with Python and Torch.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n\n## 📉 Trending Down\n\n_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._\n\n- <b><a href=\"https://github.com/openai/gym\">OpenAI Gym</a></b> (🥇41 ·  ⭐ 27K · 📉) - A toolkit for developing and comparing reinforcement learning.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/catboost/catboost\">Catboost</a></b> (🥈40 ·  ⭐ 6.5K · 📉) - A fast, scalable, high performance Gradient Boosting on.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/catalyst-team/catalyst\">Catalyst</a></b> (🥈32 ·  ⭐ 2.9K · 📉) - Accelerated deep learning R&D. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/benfred/implicit\">implicit</a></b> (🥇30 ·  ⭐ 2.8K · 📉) - Fast Python Collaborative Filtering for Implicit Feedback Datasets. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/pykeen/pykeen\">PyKEEN</a></b> (🥈25 ·  ⭐ 820 · 📉) - A Python library for learning and evaluating knowledge graph embeddings. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/Calamari-OCR/calamari\">calamari</a></b> (🥉22 ·  ⭐ 910 · 📉) - Line based ATR Engine based on OCRopy. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/flennerhag/mlens\">mlens</a></b> (🥉20 ·  ⭐ 730 · 💀) - ML-Ensemble high performance ensemble learning. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/replicate/keepsake\">keepsake</a></b> (🥉17 ·  ⭐ 1.6K · 📉) - Version control for machine learning. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/parrt/tensor-sensor\">Tensor Sensor</a></b> (🥉17 ·  ⭐ 640 · 📉) - The goal of this library is to generate more helpful.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/firmai/deltapy\">deltapy</a></b> (🥉11 ·  ⭐ 420 · 📉) - DeltaPy - Tabular Data Augmentation (by @firmai). <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n\n## ➕ Added Projects\n\n_Projects that were recently added to this best-of list._\n\n- <b><a href=\"https://github.com/h2oai/h2o-3\">H2O-3</a></b> (🥈33 ·  ⭐ 5.8K · ➕) - H2O is an Open Source, Distributed, Fast & Scalable Machine.. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/neptune-ai/neptune-client\">Neptune.ai</a></b> (🥈29 ·  ⭐ 270 · ➕) - Experiment tracking tool and model registry. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code>\n- <b><a href=\"https://github.com/open-mmlab/mmocr\">MMOCR</a></b> (🥉28 ·  ⭐ 2.4K · ➕) - OpenMMLab Text Detection, Recognition and Understanding Toolbox. <code><a href=\"http://bit.ly/3nYMfla\">Apache-2</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/Nixtla/statsforecast\">StatsForecast</a></b> (🥉22 ·  ⭐ 530 · 🐣) - Lightning fast forecasting with statistical and econometric.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/AnotherSamWilson/miceforest\">miceforest</a></b> (🥇22 ·  ⭐ 150 · ➕) - Multiple Imputation with Random Forests in Python. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code>\n- <b><a href=\"https://github.com/Nixtla/neuralforecast\">NeuralForecast</a></b> (🥉21 ·  ⭐ 540 · ➕) - Scalable and user friendly neural forecasting.. <code><a href=\"http://bit.ly/2M0xdwT\">❗️GPL-3.0</a></code>\n- <b><a href=\"https://github.com/SforAiDl/KD_Lib\">KD-Lib</a></b> (🥉17 ·  ⭐ 370 · ➕) - A Pytorch Knowledge Distillation library for benchmarking and.. <code><a href=\"http://bit.ly/34MBwT8\">MIT</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n- <b><a href=\"https://github.com/ShopRunner/collie\">Collie</a></b> (🥉16 ·  ⭐ 87 · ➕) - A library for preparing, training, and evaluating scalable deep.. <code><a href=\"http://bit.ly/3aKzpTv\">BSD-3</a></code> <code><img src=\"https://git.io/JLy1Q\" style=\"display:inline;\" width=\"13\" height=\"13\"></code>\n\n"
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Benchmarks,erikbern/ann-benchmarks,nn-search,True,https://github.com/erikbern/ann-benchmarks,https://github.com/erikbern/ann-benchmarks,MIT,2015-05-28 13:21:43.000,2022-04-26 03:13:26.000000,2022-04-26 03:13:26,1295,29.0,437,96.0,181.0,39.0,79.0,2871,Benchmarks of approximate nearest neighbor libraries in Python.,69.0,0,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n1,best-of-web-python - Web Scraping,ml-tooling/best-of-web-python,web-scraping,True,https://github.com/ml-tooling/best-of-web-python,https://github.com/ml-tooling/best-of-web-python#web-scraping--crawling,CC-BY-SA-4.0,2021-01-05 13:09:27.000,2022-04-28 17:23:05.000000,2022-04-28 17:23:04,122,12.0,115,48.0,82.0,4.0,2.0,1515,Collection of web-scraping and crawling libraries.,8.0,0,True,2022-04-28 17:23:08.000,2022.04.28,37.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n2,best-of-python - Data Extraction,ml-tooling/best-of-python,data-loading,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-loading--extraction,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2022-05-05 13:53:10.000000,2022-04-29 16:40:22,132,16.0,154,71.0,82.0,,4.0,2143,Collection of data-loading and -extraction libraries.,7.0,0,True,2022-04-29 16:22:00.000,2022.04.28,39.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n3,best-of-python - DB Clients,ml-tooling/best-of-python,db-clients,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#database-clients,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2022-05-05 13:53:10.000000,2022-04-29 16:40:22,132,16.0,154,71.0,82.0,,4.0,2143,Collection of database clients for python.,7.0,0,True,2022-04-29 16:22:00.000,2022.04.28,39.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n4,best-of-python - Data Containers,ml-tooling/best-of-python,data-loading,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-containers--dataframes,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2022-05-05 13:53:10.000000,2022-04-29 16:40:22,132,16.0,154,71.0,82.0,,4.0,2143,\"Collection of data-container, dataframe, and pandas-utility libraries.\",7.0,0,True,2022-04-29 16:22:00.000,2022.04.28,39.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n5,Tensorflow,tensorflow/tensorflow,ml-frameworks,,https://github.com/tensorflow/tensorflow,https://github.com/tensorflow/tensorflow,Apache-2.0,2015-11-07 01:19:20.000,2022-05-05 13:49:03.000000,2022-05-05 13:13:29,128816,3915.0,86717,7861.0,20952.0,2486.0,32374.0,166684,An Open Source Machine Learning Framework for Everyone.,3992.0,55,True,2022-02-02 16:58:42.000,2.7.1,148.0,tensorflow,conda-forge/tensorflow,tensorflow/tensorflow,https://www.tensorflow.org/overview,['tensorflow'],208908.0,194766.0,https://pypi.org/project/tensorflow,2022-05-04 17:06:15.000,14142.0,14152145.0,15032866.0,https://anaconda.org/conda-forge/tensorflow,2022-02-06 08:03:30.812,3254143.0,https://hub.docker.com/r/tensorflow/tensorflow,2022-05-05 13:40:06.312636,2010.0,65266299.0,1.0,,,,,,,,,,,,,,,,,,,,,\n6,scikit-learn,scikit-learn/scikit-learn,ml-frameworks,,https://github.com/scikit-learn/scikit-learn,https://github.com/scikit-learn/scikit-learn,BSD-3-Clause,2010-08-17 09:43:38.000,2022-05-05 13:47:21.000000,2022-05-05 13:47:21,28351,515.0,22952,2190.0,13404.0,2269.0,7772.0,49918,scikit-learn: machine learning in Python.,2584.0,51,True,2021-12-25 20:30:08.000,1.0.2,61.0,scikit-learn,conda-forge/scikit-learn,,,['sklearn'],369862.0,344647.0,https://pypi.org/project/scikit-learn,2022-04-28 12:19:14.000,25215.0,32751764.0,32923090.0,https://anaconda.org/conda-forge/scikit-learn,2022-04-28 17:27:22.195,12334767.0,,,,,1.0,792.0,,,,,,,,,,,,,,,,,,,,\n7,transformers,huggingface/transformers,nlp,,https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000,2022-05-05 14:02:48.000000,2022-05-05 14:02:47,9716,812.0,14094,804.0,7824.0,469.0,8815.0,62039,\"Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.\",1293.0,49,True,2022-04-07 18:08:23.000,4.18.0,89.0,transformers,conda-forge/transformers,,,\"['pytorch', 'tensorflow']\",27943.0,27074.0,https://pypi.org/project/transformers,2022-04-06 15:07:45.000,869.0,5891538.0,5897421.0,https://anaconda.org/conda-forge/transformers,2022-01-31 21:40:31.059,181309.0,,,,,1.0,1489.0,,,,,,,,,,,,,,,,,,,,\n8,PyTorch,pytorch/pytorch,ml-frameworks,,https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41.000,2022-05-05 14:00:52.000000,2022-05-05 13:49:24,46003,2432.0,15440,1594.0,50988.0,11087.0,17631.0,55754,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,3241.0,49,True,2022-03-10 16:59:55.000,1.11.0,39.0,torch,pytorch/pytorch,,https://pytorch.org/docs/stable/index.html,['pytorch'],6959.0,,https://pypi.org/project/torch,2022-03-10 16:38:35.000,6959.0,7972312.0,10039138.0,https://anaconda.org/pytorch/pytorch,2022-03-10 16:43:32.673,16534231.0,,,,,1.0,3296.0,,,,,,,,,,,,,,,,,,,,\n9,Matplotlib,matplotlib/matplotlib,data-viz,,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,Python-2.0,2011-02-19 03:17:12.000,2022-05-05 10:59:27.000000,2022-05-05 08:31:05,42698,566.0,6373,578.0,14427.0,1823.0,7027.0,15435,matplotlib: plotting with Python.,1357.0,49,True,2022-05-03 06:44:48.000,3.5.2,91.0,matplotlib,conda-forge/matplotlib,,,,603870.0,549671.0,https://pypi.org/project/matplotlib,2022-05-03 06:44:48.000,54199.0,26907405.0,27055343.0,https://anaconda.org/conda-forge/matplotlib,2022-05-04 19:17:05.326,11835115.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n10,scipy,scipy/scipy,others,,https://github.com/scipy/scipy,https://github.com/scipy/scipy,BSD-3-Clause,2011-03-09 18:52:03.000,2022-05-05 13:53:40.000000,2022-05-05 13:53:39,27790,503.0,4146,330.0,7980.0,1799.0,6712.0,9549,\"Ecosystem of open-source software for mathematics, science, and engineering.\",1267.0,49,True,2022-02-05 23:29:16.000,1.8.0,77.0,scipy,conda-forge/scipy,,,,560469.0,503633.0,https://pypi.org/project/scipy,2022-02-05 22:53:25.000,56836.0,41914130.0,42231969.0,https://anaconda.org/conda-forge/scipy,2022-02-09 01:10:04.440,22580764.0,,,,,1.0,345902.0,,,,,,,,,,,,,,,,,,,,\n11,Celery,celery/celery,data-pipelines,,https://github.com/celery/celery,https://github.com/celery/celery,BSD-3-Clause,2009-04-24 11:31:24.000,2022-05-04 11:18:58.000000,2022-05-03 16:28:14,11921,93.0,4266,476.0,2592.0,539.0,4187.0,19251,Asynchronous task queue/job queue based on distributed message passing.,1210.0,46,True,2022-04-05 08:37:09.000,5.2.6,190.0,celery,conda-forge/celery,,,,83848.0,68989.0,https://pypi.org/project/celery,2022-04-05 08:37:09.000,14859.0,4886907.0,4898026.0,https://anaconda.org/conda-forge/celery,2022-04-27 14:43:42.320,822863.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n12,Airflow,apache/airflow,data-pipelines,,https://github.com/apache/airflow,https://github.com/apache/airflow,Apache-2.0,2015-04-13 18:04:58.000,2022-05-05 14:38:58.000000,2022-05-05 10:23:18,16022,1073.0,10458,740.0,16523.0,921.0,4604.0,26072,\"Platform to programmatically author, schedule, and monitor workflows.\",2381.0,45,True,2022-05-01 00:37:18.000,2.3.0,110.0,apache-airflow,conda-forge/airflow,apache/airflow,,,463.0,,https://pypi.org/project/apache-airflow,2022-04-30 22:05:37.000,463.0,5568207.0,6414001.0,https://anaconda.org/conda-forge/airflow,2022-05-02 02:18:11.941,593742.0,https://hub.docker.com/r/apache/airflow,2022-04-30 23:06:34.903474,334.0,70752541.0,1.0,284916.0,stable/airflow,,,,,,,,,,,,,,,,,,,\n13,Pillow,python-pillow/Pillow,image,,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000,2022-05-05 11:32:53.000000,2022-05-05 11:32:27,13132,534.0,1824,211.0,3744.0,110.0,2383.0,9734,The friendly PIL fork (Python Imaging Library).,396.0,45,True,2022-04-01 14:40:43.000,9.1.0,87.0,Pillow,conda-forge/pillow,,,,62658.0,,https://pypi.org/project/Pillow,2022-04-01 14:37:06.000,62658.0,41581944.0,41780086.0,https://anaconda.org/conda-forge/pillow,2022-04-13 03:19:38.560,14464368.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n14,Keras,keras-team/keras,ml-frameworks,,https://github.com/keras-team/keras,https://github.com/keras-team/keras,Apache-2.0,2015-03-28 00:35:42.000,2022-05-04 08:15:36.000000,2022-05-04 08:15:31,6848,400.0,19076,1958.0,5215.0,322.0,11009.0,55108,Deep Learning for humans.,1058.0,44,True,2022-02-03 05:13:44.000,2.8.0,64.0,keras,conda-forge/keras,,https://keras.io,['tensorflow'],284.0,,https://pypi.org/project/keras,2022-04-22 17:58:51.000,284.0,8810847.0,8842943.0,https://anaconda.org/conda-forge/keras,2022-02-04 15:14:03.939,2214690.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n15,spaCy,explosion/spaCy,nlp,,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000,2022-05-05 13:42:24.000000,2022-05-03 15:57:07,15415,140.0,3820,558.0,3060.0,99.0,5014.0,23266,Industrial-strength Natural Language Processing (NLP) in Python.,678.0,44,True,2022-04-29 07:49:22.000,3.3.0,194.0,spacy,conda-forge/spacy,,,,40780.0,38460.0,https://pypi.org/project/spacy,2022-04-05 12:33:50.000,2320.0,4460643.0,4502277.0,https://anaconda.org/conda-forge/spacy,2022-05-03 18:34:30.893,2620054.0,,,,,1.0,3139.0,,,,,,,,,,,,,,,,,,,,\n16,XGBoost,dmlc/xgboost,ml-frameworks,,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000,2022-05-05 13:49:22.000000,2022-05-05 13:49:22,5760,113.0,8362,936.0,3485.0,276.0,4137.0,22581,\"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..\",558.0,44,True,2022-04-16 04:09:35.000,1.6.0,63.0,xgboost,conda-forge/xgboost,,https://xgboost.readthedocs.io/en/latest/,,31674.0,30345.0,https://pypi.org/project/xgboost,2022-04-16 04:09:35.000,1329.0,7768604.0,7810301.0,https://anaconda.org/conda-forge/xgboost,2022-02-17 18:39:15.686,2582705.0,,,,,1.0,4031.0,,,,,,,,,,,,,,,,,,,,\n17,Ray,ray-project/ray,distributed-ml,,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000,2022-05-05 14:35:26.000000,2022-05-05 14:11:08,12379,1206.0,3522,424.0,14370.0,2227.0,7858.0,20280,\"An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged..\",676.0,44,True,2022-04-29 21:08:42.000,1.11.1,71.0,ray,conda-forge/ray-tune,,,,4939.0,4673.0,https://pypi.org/project/ray,2022-04-29 21:08:42.000,266.0,995349.0,996897.0,https://anaconda.org/conda-forge/ray-tune,2022-04-07 20:54:56.642,26317.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n18,nltk,nltk/nltk,nlp,,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58.000,2022-05-04 06:45:38.000000,2022-05-03 01:20:40,14279,40.0,2572,472.0,1351.0,222.0,1395.0,10707,Suite of libraries and programs for symbolic and statistical natural language processing for English.,419.0,44,True,2021-12-28 23:28:57.000,3.6.7,50.0,nltk,conda-forge/nltk,,,,152380.0,140560.0,https://pypi.org/project/nltk,2022-02-09 12:40:48.000,11820.0,12850764.0,12868358.0,https://anaconda.org/conda-forge/nltk,2021-12-29 03:25:44.981,1214042.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n19,SymPy,sympy/sympy,others,,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000,2022-05-05 12:26:42.000000,2022-05-04 22:27:15,50824,689.0,3654,290.0,11494.0,4450.0,7911.0,9155,A computer algebra system written in pure Python.,1141.0,44,True,2022-03-20 11:58:15.000,sympy-1.10.1,45.0,sympy,conda-forge/sympy,,,,45918.0,41786.0,https://pypi.org/project/sympy,2022-03-20 12:00:44.000,4132.0,1761748.0,1793904.0,https://anaconda.org/conda-forge/sympy,2022-03-20 19:12:31.090,2008657.0,,,,,1.0,451379.0,,,,,,,,,,,,,,,,,,,,\n20,scikit-image,scikit-image/scikit-image,image,,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,BSD-2-Clause,2011-07-07 22:07:20.000,2022-05-05 13:02:35.000000,2022-05-01 23:32:50,13197,118.0,1994,183.0,3737.0,623.0,1819.0,4883,Image processing in Python.,553.0,44,True,2022-02-17 18:25:54.000,0.19.2,44.0,scikit-image,conda-forge/scikit-image,,,,110845.0,101604.0,https://pypi.org/project/scikit-image,2022-02-17 18:24:44.000,9241.0,5816566.0,5863364.0,https://anaconda.org/conda-forge/scikit-image,2022-02-18 18:04:10.940,3369474.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n21,jax,google/jax,ml-frameworks,,https://github.com/google/jax,https://github.com/google/jax,Apache-2.0,2018-10-25 21:25:02.000,2022-05-05 13:51:22.000000,2022-05-05 06:47:25,11430,1028.0,1601,265.0,6395.0,1097.0,2224.0,17360,\"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.\",391.0,43,True,2022-05-05 03:25:41.000,0.3.10,117.0,jax,conda-forge/jaxlib,,,,4527.0,4230.0,https://pypi.org/project/jax,2022-05-05 03:25:41.000,297.0,416065.0,425010.0,https://anaconda.org/conda-forge/jaxlib,2022-04-10 09:48:43.977,304130.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n22,Bokeh,bokeh/bokeh,data-viz,,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000,2022-05-04 17:50:16.000000,2022-05-04 17:50:16,19542,57.0,3912,459.0,5144.0,709.0,6199.0,16252,\"Interactive Data Visualization in the browser, from Python.\",603.0,43,True,2021-11-22 17:49:14.000,2.4.2,120.0,bokeh,conda-forge/bokeh,,,,54204.0,50678.0,https://pypi.org/project/bokeh,2022-04-27 03:15:18.000,3526.0,4601798.0,4718394.0,https://anaconda.org/conda-forge/bokeh,2022-04-13 06:00:47.827,7112398.0,,,,,1.0,,,-1.0,,,,,,,,,,,,,,,,,,\n23,networkx,networkx/networkx,graph,,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44.000,2022-05-05 13:55:23.000000,2022-05-04 20:03:53,6807,121.0,2581,275.0,2623.0,363.0,2509.0,10688,Network Analysis in Python.,590.0,43,True,2022-04-09 22:35:15.000,networkx-2.8,74.0,networkx,conda-forge/networkx,,,,119423.0,106169.0,https://pypi.org/project/networkx,2022-04-09 22:38:56.000,13254.0,17701207.0,17793885.0,https://anaconda.org/conda-forge/networkx,2022-04-10 05:15:19.223,6209453.0,,,,,1.0,59.0,,,,,,,,,,,,,,,,,,,,\n24,dask,dask/dask,distributed-ml,,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000,2022-05-05 14:34:17.000000,2022-05-05 14:34:17,7152,187.0,1479,225.0,4604.0,731.0,3603.0,9831,Parallel computing with task scheduling.,528.0,43,True,2022-05-02 18:26:37.000,2022.5.0,142.0,dask,conda-forge/dask,,,,38979.0,36363.0,https://pypi.org/project/dask,2022-05-02 18:26:37.000,2616.0,5802261.0,5877890.0,https://anaconda.org/conda-forge/dask,2022-05-02 23:00:13.029,5445300.0,,,,,1.0,,stable/dask,-1.0,,,,,,,,,,,,,,,,,,\n25,StatsModels,statsmodels/statsmodels,ml-frameworks,,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000,2022-05-04 13:43:10.000000,2022-05-04 13:30:12,14574,100.0,2431,262.0,3553.0,2266.0,2516.0,7339,Statsmodels: statistical modeling and econometrics in Python.,369.0,43,True,2022-02-08 18:11:09.000,0.13.2,30.0,statsmodels,conda-forge/statsmodels,,,,66932.0,62419.0,https://pypi.org/project/statsmodels,2022-02-08 18:11:09.000,4513.0,8223983.0,8308541.0,https://anaconda.org/conda-forge/statsmodels,2022-02-11 00:02:55.006,6003652.0,,,,,1.0,26.0,,,,,,,,,,,,,,,,,,,,\n26,Tensorboard,tensorflow/tensorboard,ml-experiments,,https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000,2022-05-04 23:18:49.000000,2022-05-03 18:14:42,5028,90.0,1494,194.0,4052.0,557.0,1116.0,5844,TensorFlows Visualization Toolkit.,278.0,43,True,2022-04-29 19:39:04.000,2.9.0,41.0,tensorboard,conda-forge/tensorboard,,,['tensorflow'],108547.0,106185.0,https://pypi.org/project/tensorboard,2022-01-20 21:11:31.000,2362.0,13953227.0,14006563.0,https://anaconda.org/conda-forge/tensorboard,2022-05-02 19:23:15.865,2880193.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n27,PySpark,apache/spark,ml-frameworks,,https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08.000,2022-05-05 13:39:53.000000,2022-05-05 10:28:12,33065,791.0,25366,2079.0,36430.0,247.0,,32763,Apache Spark Python API.,2663.0,42,True,2022-01-26 05:20:58.000,3.2.1,29.0,pyspark,conda-forge/pyspark,,,['spark'],791.0,,https://pypi.org/project/pyspark,2022-01-26 05:20:58.000,791.0,20276794.0,20302392.0,https://anaconda.org/conda-forge/pyspark,2022-01-26 09:34:57.784,1587076.0,,,,,2.0,,stable/spark,,,,,,,,,,,,,,,,,,,\n28,pytorch-lightning,PyTorchLightning/pytorch-lightning,ml-frameworks,,https://github.com/PyTorchLightning/pytorch-lightning,https://github.com/PyTorchLightning/pytorch-lightning,Apache-2.0,2019-03-31 00:45:57.000,2022-05-05 13:47:16.000000,2022-05-05 12:48:29,6929,451.0,2330,221.0,6126.0,478.0,4516.0,18286,\"The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.\",670.0,42,True,2022-05-03 20:36:12.000,1.6.3,209.0,pytorch-lightning,conda-forge/pytorch-lightning,,,['pytorch'],9016.0,8657.0,https://pypi.org/project/pytorch-lightning,2022-05-03 20:47:46.000,359.0,2776159.0,2794857.0,https://anaconda.org/conda-forge/pytorch-lightning,2022-05-04 00:29:27.477,425681.0,,,,,2.0,6509.0,,,,,,,,,,,,,,,,,,,,\n29,LightGBM,microsoft/LightGBM,ml-frameworks,,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000,2022-05-05 02:47:38.000000,2022-05-04 19:16:13,2953,97.0,3459,448.0,2541.0,176.0,2470.0,13749,\"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..\",258.0,42,True,2022-01-07 15:20:18.000,3.3.2,28.0,lightgbm,conda-forge/lightgbm,,,,13417.0,12841.0,https://pypi.org/project/lightgbm,2022-01-07 15:20:18.000,576.0,7182603.0,7202040.0,https://anaconda.org/conda-forge/lightgbm,2022-01-08 00:29:45.463,986550.0,,,,,2.0,148112.0,,,,,,,,,,,,,,,,,,,,\n30,gensim,RaRe-Technologies/gensim,nlp,,https://github.com/RaRe-Technologies/gensim,https://github.com/RaRe-Technologies/gensim,LGPL-2.1,2011-02-10 07:43:04.000,2022-05-05 13:41:55.000000,2022-05-05 13:41:54,4382,75.0,4210,430.0,1604.0,374.0,1388.0,13144,Topic Modelling for Humans.,430.0,42,True,2022-05-01 16:17:56.000,4.2.0,90.0,gensim,conda-forge/gensim,,,,35723.0,32845.0,https://pypi.org/project/gensim,2022-05-01 16:17:56.000,2878.0,5222764.0,5236874.0,https://anaconda.org/conda-forge/gensim,2022-05-02 02:02:36.733,787695.0,,,,,1.0,3517.0,,1.0,,,,,,,,,,,,,,,,,,\n31,torchvision,pytorch/vision,image,,https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000,2022-05-05 12:46:08.000000,2022-05-05 11:04:58,2697,251.0,5899,366.0,3651.0,705.0,1747.0,11553,\"Datasets, Transforms and Models specific to Computer Vision.\",482.0,42,True,2022-03-10 18:28:39.000,0.12.0,30.0,torchvision,conda-forge/torchvision,,,['pytorch'],3611.0,,https://pypi.org/project/torchvision,2022-03-10 16:45:51.000,3611.0,3776092.0,3780330.0,https://anaconda.org/conda-forge/torchvision,2022-03-29 18:28:29.092,220776.0,,,,,1.0,4484.0,,,,,,,,,,,,,,,,,,,,\n32,Plotly,plotly/plotly.py,data-viz,,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000,2022-05-04 11:36:53.000000,2022-05-04 11:36:53,5457,78.0,2134,272.0,1337.0,1141.0,1178.0,11443,The interactive graphing library for Python (includes Plotly Express).,197.0,42,True,2022-04-05 16:31:26.000,5.7.0,278.0,plotly,conda-forge/plotly,,,,3969.0,9.0,https://pypi.org/project/plotly,2022-04-05 16:26:03.000,3956.0,7291375.0,7370963.0,https://anaconda.org/conda-forge/plotly,2022-04-05 18:41:54.292,2465488.0,,,,,1.0,,,,plotlywidget,https://www.npmjs.com/package/plotlywidget,2021-01-12 16:09:46.133,4.0,43857.0,,,,,,,,,,,,,\n33,pydeck,visgl/deck.gl,geospatial-data,,https://github.com/visgl/deck.gl,https://github.com/visgl/deck.gl,MIT,2015-12-15 08:38:29.000,2022-05-05 14:08:54.000000,2022-05-05 10:20:01,4031,97.0,1773,1744.0,3807.0,152.0,2268.0,9780,WebGL2 powered visualization framework.,191.0,42,True,2022-04-22 19:14:29.341,8.7.8,528.0,pydeck,conda-forge/pydeck,,,['jupyter'],4407.0,3999.0,https://pypi.org/project/pydeck,2021-10-25 17:38:40.000,23.0,992589.0,1288801.0,https://anaconda.org/conda-forge/pydeck,2021-10-26 00:42:05.329,93838.0,,,,,1.0,,,,deck.gl,https://www.npmjs.com/package/deck.gl,2022-04-22 19:14:29.341,385.0,292737.0,,,,,,,,,,,,,\n34,OpenAI Gym,openai/gym,reinforcement-learning,,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16.000,2022-05-05 13:43:53.000000,2022-05-05 13:43:53,1594,110.0,7789,997.0,1240.0,108.0,1462.0,27434,A toolkit for developing and comparing reinforcement learning algorithms.,356.0,41,True,2022-03-14 22:44:47.000,0.23.1,99.0,gym,conda-forge/gym,,,,31381.0,28943.0,https://pypi.org/project/gym,2022-03-14 22:44:47.000,2438.0,431150.0,435263.0,https://anaconda.org/conda-forge/gym,2022-02-08 14:22:06.829,102849.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n35,PaddlePaddle,PaddlePaddle/Paddle,ml-frameworks,,https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000,2022-05-05 14:03:56.000000,2022-05-05 13:43:37,35571,1793.0,4488,729.0,27835.0,2894.0,12527.0,18099,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,725.0,41,True,2022-04-30 12:12:52.000,2.3.0-rc0,53.0,paddlepaddle,,,,['paddle'],157.0,109.0,https://pypi.org/project/paddlepaddle,2022-04-15 11:42:45.000,48.0,73379.0,73600.0,,,,,,,,2.0,15315.0,,,,,,,,,,,,,,,,,,,,\n36,onnx,onnx/onnx,model-serialisation,,https://github.com/onnx/onnx,https://github.com/onnx/onnx,Apache-2.0,2017-09-07 04:53:45.000,2022-05-05 05:37:04.000000,2022-05-05 05:37:03,1943,49.0,2675,429.0,2201.0,276.0,1696.0,12435,Open standard for machine learning interoperability.,230.0,41,True,2022-02-17 21:58:59.000,1.11.0,25.0,onnx,conda-forge/onnx,,,,6992.0,6626.0,https://pypi.org/project/onnx,2022-02-17 19:16:40.000,366.0,985039.0,992642.0,https://anaconda.org/conda-forge/onnx,2022-04-24 20:16:13.541,393361.0,,,,,1.0,17561.0,,,,,,,,,,,,,,,,,,,,\n37,mlflow,mlflow/mlflow,ml-experiments,,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000,2022-05-05 13:58:09.000000,2022-05-05 06:38:00,2719,235.0,2645,272.0,3623.0,1029.0,1322.0,11767,Open source platform for the machine learning lifecycle.,400.0,41,True,2022-04-13 17:02:54.000,1.25.1,57.0,mlflow,conda-forge/mlflow,,,,300.0,,https://pypi.org/project/mlflow,2022-04-13 16:01:34.000,300.0,10137215.0,10152099.0,https://anaconda.org/conda-forge/mlflow,2022-04-13 23:51:35.810,550725.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n38,Seaborn,mwaskom/seaborn,data-viz,,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000,2022-05-05 01:01:58.000000,2022-04-03 15:40:10,2821,7.0,1520,249.0,780.0,108.0,1898.0,9380,Statistical data visualization in Python.,166.0,41,True,2021-08-16 00:42:18.000,0.11.2,25.0,seaborn,conda-forge/seaborn,,,,163958.0,155116.0,https://pypi.org/project/seaborn,2021-08-16 00:42:18.000,8842.0,8363663.0,8417554.0,https://anaconda.org/conda-forge/seaborn,2021-08-16 06:42:17.619,3718379.0,,,,,1.0,218.0,,,,,,,,,,,,,,,,,,,,\n39,dask.distributed,dask/distributed,distributed-ml,,https://github.com/dask/distributed,https://github.com/dask/distributed,BSD-3-Clause,2015-09-13 18:42:29.000,2022-05-05 14:41:05.000000,2022-05-05 04:43:20,4570,231.0,620,61.0,3595.0,1054.0,1778.0,1347,A distributed task scheduler for Dask.,267.0,41,True,2022-05-02 18:26:43.000,2022.5.0,173.0,distributed,conda-forge/distributed,,,,24461.0,23291.0,https://pypi.org/project/distributed,2022-05-02 18:26:43.000,1170.0,4826926.0,4920560.0,https://anaconda.org/conda-forge/distributed,2022-05-02 20:30:48.144,6741718.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n40,shap,slundberg/shap,interpretability,,https://github.com/slundberg/shap,https://github.com/slundberg/shap,MIT,2016-11-22 19:17:08.000,2022-05-04 23:39:51.000000,2022-04-01 19:36:07,2142,105.0,2402,248.0,451.0,1345.0,581.0,16202,A game theoretic approach to explain the output of any machine learning model.,182.0,40,True,2021-10-20 18:36:57.000,0.40.0,94.0,shap,conda-forge/shap,,,,5483.0,5262.0,https://pypi.org/project/shap,2021-10-20 19:13:31.000,221.0,4054804.0,4079894.0,https://anaconda.org/conda-forge/shap,2022-01-23 08:45:26.945,1129091.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n41,Catboost,catboost/catboost,ml-frameworks,,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000,2022-05-05 12:12:00.000000,2022-05-05 12:11:57,23008,1762.0,998,194.0,292.0,378.0,1422.0,6490,\"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..\",991.0,40,True,2022-04-07 07:35:23.000,1.0.5,102.0,catboost,conda-forge/catboost,,,,220.0,,https://pypi.org/project/catboost,2022-04-07 05:23:24.000,220.0,2875400.0,2896956.0,https://anaconda.org/conda-forge/catboost,2022-04-07 19:25:52.486,967152.0,,,,,2.0,78832.0,,,,,,,,,,,,,,,,,,,,\n42,MXNet,apache/incubator-mxnet,ml-frameworks,,https://github.com/apache/incubator-mxnet,https://github.com/apache/incubator-mxnet,Apache-2.0,2015-04-30 16:21:15.000,2022-05-04 16:17:13.000000,2022-04-28 11:32:58,11832,54.0,6907,1100.0,11011.0,1974.0,7724.0,19964,\"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..\",974.0,39,True,2022-03-22 00:13:06.000,2.0.0.beta1,982.0,mxnet,mxnet,,,['mxnet'],289.0,,https://pypi.org/project/mxnet,2022-03-25 17:06:28.000,284.0,255847.0,256330.0,https://anaconda.org/anaconda/mxnet,2022-05-02 19:57:38.379,7328.0,,,,,2.0,24902.0,,,,,,,,5.0,,,,,,,,,,,,\n43,dash,plotly/dash,data-viz,,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000,2022-05-04 19:40:45.000000,2022-05-04 19:21:05,5973,310.0,1687,402.0,725.0,597.0,655.0,16388,\"Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.\",112.0,39,True,2022-03-29 22:50:27.000,2.3.1,147.0,dash,conda-forge/dash,,,,1385.0,190.0,https://pypi.org/project/dash,2022-03-29 22:29:51.000,1195.0,852115.0,861021.0,https://anaconda.org/conda-forge/dash,2022-03-30 10:37:04.517,427499.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n44,Rasa,RasaHQ/rasa,nlp,,https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49.000,2022-05-02 12:10:21.000000,2022-04-26 10:20:46,30106,272.0,3926,337.0,4566.0,987.0,5683.0,13921,\"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..\",538.0,39,True,2022-04-05 14:41:42.000,2.8.27,250.0,rasa,,,,['tensorflow'],57.0,,https://pypi.org/project/rasa,2022-04-05 14:41:31.000,57.0,165509.0,165509.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n45,dlib,davisking/dlib,ml-frameworks,,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000,2022-05-03 15:17:26.000000,2022-04-30 02:51:01,8075,53.0,3050,480.0,552.0,53.0,1983.0,11105,A toolkit for making real world machine learning and data analysis applications in C++.,175.0,39,False,2022-03-14 12:07:11.000,19.23.1,31.0,dlib,conda-forge/dlib,,,,14785.0,14018.0,https://pypi.org/project/dlib,2022-03-14 12:07:11.000,767.0,135940.0,142191.0,https://anaconda.org/conda-forge/dlib,2022-03-15 00:20:39.618,404699.0,,,,,2.0,24949.0,,,,,,,,,,,,,,,,,,,,\n46,Altair,altair-viz/altair,data-viz,,https://github.com/altair-viz/altair,https://github.com/altair-viz/altair,BSD-3-Clause,2015-09-19 03:14:04.000,2022-04-20 04:58:00.000000,2022-03-25 20:01:52,3150,18.0,665,153.0,974.0,230.0,1402.0,7457,Declarative statistical visualization library for Python.,136.0,39,True,2021-12-29 13:30:58.000,4.2.0,28.0,altair,conda-forge/altair,,,,26431.0,26087.0,https://pypi.org/project/altair,2021-12-29 13:25:37.000,344.0,6584298.0,6600641.0,https://anaconda.org/conda-forge/altair,2021-12-29 17:47:26.885,1144042.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n47,PyMC3,pymc-devs/pymc,probabilistics,,https://github.com/pymc-devs/pymc,https://github.com/pymc-devs/pymc,Apache-2.0,2009-05-05 09:43:50.000,2022-05-05 13:24:29.000000,2022-05-05 08:02:42,8619,220.0,1562,231.0,3048.0,213.0,2457.0,6549,Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara.,383.0,39,True,2022-03-15 10:10:19.000,3.11.5,36.0,pymc3,conda-forge/pymc3,,,,851.0,616.0,https://pypi.org/project/pymc3,2022-03-15 10:10:19.000,235.0,361685.0,367715.0,https://anaconda.org/conda-forge/pymc3,2021-10-12 16:32:39.553,402733.0,,,,,1.0,1903.0,,,,,,,,,,,,,,,,,,,,\n48,Beam,apache/beam,data-pipelines,,https://github.com/apache/beam,https://github.com/apache/beam,Apache-2.0,2016-02-02 08:00:06.000,2022-05-05 13:58:30.000000,2022-05-05 13:58:30,35559,1038.0,3464,258.0,17538.0,135.0,,5484,\"Unified programming model to define and execute data processing pipelines, including ETL, batch and stream processing.\",1261.0,39,True,2022-04-20 23:03:40.000,2.38.0,61.0,apache-beam,conda-forge/apache-beam-with-aws,,,,149.0,,https://pypi.org/project/apache-beam,2022-04-20 20:51:29.000,149.0,7121185.0,7122204.0,https://anaconda.org/conda-forge/apache-beam-with-aws,2022-04-21 05:29:42.235,8159.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n49,Fastai,fastai/fastai,ml-frameworks,,https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000,2022-05-04 22:48:58.000000,2022-05-04 22:48:57,1924,62.0,7232,625.0,2037.0,119.0,1474.0,22208,The fastai deep learning library.,613.0,38,True,2022-05-01 02:02:21.000,2.6.3,133.0,fastai,,,,['pytorch'],298.0,,https://pypi.org/project/fastai,2022-05-01 02:04:54.000,298.0,246748.0,246748.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n50,Streamlit,streamlit/streamlit,others,,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000,2022-05-05 09:58:56.000000,2022-05-05 06:06:14,4677,111.0,1704,264.0,2235.0,579.0,1808.0,18871,Streamlit The fastest way to build data apps in Python.,139.0,38,True,2022-05-04 16:36:28.000,1.9.0,159.0,streamlit,,,,,650.0,282.0,https://pypi.org/project/streamlit,2022-05-04 16:36:19.000,368.0,1014996.0,1014996.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n51,Jina,jina-ai/jina,ml-frameworks,,https://github.com/jina-ai/jina,https://github.com/jina-ai/jina,Apache-2.0,2020-02-13 17:04:44.000,2022-05-05 13:48:33.000000,2022-05-05 03:04:00,7423,437.0,1881,183.0,3253.0,64.0,1386.0,14522,Cloud-native neural search framework for kind of data.,146.0,38,True,2022-05-04 14:53:34.000,3.3.24,1770.0,jina,conda-forge/jina-core,jinaai/jina,,,273.0,273.0,https://pypi.org/project/jina,2022-05-05 11:39:52.000,,48348.0,87906.0,https://anaconda.org/conda-forge/jina-core,2022-04-22 14:11:20.474,4267.0,https://hub.docker.com/r/jinaai/jina,2022-05-05 12:00:14.156505,7.0,1053682.0,2.0,,,,,,,,,,,,,,,,,,,,,\n52,flair,flairNLP/flair,nlp,,https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,MIT,2018-06-11 11:04:18.000,2022-05-05 13:03:53.000000,2022-05-05 12:42:37,4459,166.0,1848,200.0,915.0,95.0,1747.0,11543,A very simple framework for state-of-the-art Natural Language Processing (NLP).,224.0,38,True,2022-04-10 20:35:57.000,0.11,25.0,flair,conda-forge/python-flair,,,['pytorch'],1402.0,1335.0,https://pypi.org/project/flair,2022-04-10 18:35:05.000,67.0,79741.0,80067.0,https://anaconda.org/conda-forge/python-flair,2021-11-18 16:11:16.757,7172.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n53,Milvus,milvus-io/milvus,nn-search,,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000,2022-05-05 14:41:26.000000,2022-05-05 13:33:51,14621,507.0,1495,197.0,11243.0,300.0,4663.0,10231,An open-source vector database for scalable similarity search and AI applications.,204.0,38,True,2022-04-02 10:12:24.000,2.0.2,100.0,pymilvus,,milvusdb/milvus,,,16.0,,https://pypi.org/project/pymilvus,2022-04-02 07:36:26.000,16.0,36824.0,70366.0,,,,https://hub.docker.com/r/milvusdb/milvus,2022-04-02 06:39:20.199435,18.0,929296.0,1.0,22511.0,,,,,,,,,,,,,,,,,,,,\n54,Theano,Theano/Theano,ml-frameworks,,https://github.com/Theano/Theano,https://github.com/Theano/Theano,BSD-3-Clause,2011-08-10 03:48:06.000,2022-03-16 06:30:00.008000,2021-11-23 08:52:10,28127,,2509,557.0,4114.0,679.0,2086.0,9568,\"Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving..\",384.0,38,True,2020-07-27 16:13:54.000,1.0.5,45.0,theano,conda-forge/theano,,,,15272.0,12434.0,https://pypi.org/project/theano,2020-07-27 16:13:54.000,2838.0,251909.0,279756.0,https://anaconda.org/conda-forge/theano,2022-03-16 06:30:00.008,1949349.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n55,rq,rq/rq,data-pipelines,,https://github.com/rq/rq,https://github.com/rq/rq,BSD-3-Clause,2011-11-14 10:53:48.000,2022-04-27 22:23:09.000000,2022-04-02 01:06:55,1628,8.0,1264,216.0,677.0,179.0,778.0,8277,Simple job queues for Python.,256.0,38,True,2021-12-07 12:48:17.000,1.10.1,68.0,rq,conda-forge/rq,,,,11951.0,10216.0,https://pypi.org/project/rq,2021-12-07 12:46:58.000,1735.0,512759.0,513765.0,https://anaconda.org/conda-forge/rq,2021-06-30 09:49:43.099,70458.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n56,CuPy,cupy/cupy,gpu-utilities,,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000,2022-05-04 10:15:12.738000,2022-04-27 05:13:01,25090,486.0,594,121.0,5010.0,390.0,1344.0,5985,NumPy & SciPy for GPU.,303.0,38,True,2022-04-27 07:44:39.000,10.4.0,114.0,cupy,conda-forge/cupy,cupy/cupy,,,1177.0,1018.0,https://pypi.org/project/cupy,2022-04-27 01:15:30.000,159.0,25788.0,69548.0,https://anaconda.org/conda-forge/cupy,2022-05-04 10:15:12.738,1313459.0,https://hub.docker.com/r/cupy/cupy,2022-04-27 07:48:42.139200,7.0,54659.0,1.0,29888.0,,,,,,,,,,,,,,,,,,,,\n57,MMDetection,open-mmlab/mmdetection,image,,https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000,2022-05-05 09:26:22.000000,2022-04-30 14:23:14,2055,142.0,7132,356.0,2157.0,554.0,5196.0,19527,OpenMMLab Detection Toolbox and Benchmark.,334.0,37,True,2022-04-30 14:27:27.000,2.24.1,33.0,mmdet,,,,['pytorch'],367.0,358.0,https://pypi.org/project/mmdet,2022-04-30 14:57:36.000,9.0,42248.0,42248.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n58,PyFlink,apache/flink,ml-frameworks,,https://github.com/apache/flink,https://github.com/apache/flink,Apache-2.0,2014-06-07 07:00:10.000,2022-05-05 12:56:15.000000,2022-05-05 11:52:03,30783,1039.0,10666,930.0,19637.0,882.0,,18820,Apache Flink Python API.,1525.0,37,True,2022-04-26 08:03:16.000,1.15.0,31.0,apache-flink,,,,,15.0,,https://pypi.org/project/apache-flink,2022-04-26 08:03:16.000,15.0,13302.0,13302.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n59,PyTorch Image Models,rwightman/pytorch-image-models,image,,https://github.com/rwightman/pytorch-image-models,https://github.com/rwightman/pytorch-image-models,Apache-2.0,2019-02-02 05:51:12.000,2022-05-03 16:27:02.000000,2022-05-03 16:27:02,1356,62.0,3020,270.0,222.0,57.0,437.0,18229,\"PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision..\",73.0,37,True,2022-04-03 22:14:28.000,0.1-weights-swin2,31.0,timm,conda-forge/timm,,,['pytorch'],2913.0,2823.0,https://pypi.org/project/timm,2022-01-17 04:57:50.000,90.0,1754845.0,1787537.0,https://anaconda.org/conda-forge/timm,2021-06-30 20:44:15.682,15558.0,,,,,1.0,1151479.0,,,,,,,,,,,,,,,,,,,,\n60,fairseq,pytorch/fairseq,nlp,,https://github.com/pytorch/fairseq,https://github.com/pytorch/fairseq,MIT,2017-08-29 16:26:12.000,2022-05-04 16:17:30.000000,2022-05-04 16:15:36,2165,48.0,4431,329.0,1039.0,789.0,2836.0,16831,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,384.0,37,True,2021-01-05 20:26:45.000,0.10.2,13.0,fairseq,conda-forge/fairseq,,,['pytorch'],808.0,772.0,https://pypi.org/project/fairseq,2021-01-05 20:26:45.000,36.0,66308.0,66943.0,https://anaconda.org/conda-forge/fairseq,2021-04-28 18:08:39.753,13884.0,,,,,1.0,225.0,,,,,,,,,,,,,,,,,,,,\n61,luigi,spotify/luigi,data-pipelines,,https://github.com/spotify/luigi,https://github.com/spotify/luigi,Apache-2.0,2012-09-20 15:06:38.000,2022-05-02 20:23:54.609000,2022-04-29 00:17:10,4035,13.0,2314,489.0,2223.0,103.0,867.0,15641,\"Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution,..\",587.0,37,True,2021-11-06 14:59:15.000,3.0.3,73.0,luigi,luigi,,,,2129.0,1730.0,https://pypi.org/project/luigi,2020-09-23 11:57:12.000,397.0,557975.0,558106.0,https://anaconda.org/anaconda/luigi,2022-05-02 20:23:54.609,9833.0,,,,,1.0,,stable/luigi,-1.0,,,,,,2.0,,,,,,,,,,,,\n62,AllenNLP,allenai/allennlp,nlp,,https://github.com/allenai/allennlp,https://github.com/allenai/allennlp,Apache-2.0,2017-05-15 15:52:41.000,2022-04-29 13:05:09.000000,2022-04-28 20:17:27,2686,37.0,2180,277.0,3052.0,88.0,2428.0,10967,\"An open-source NLP research library, built on PyTorch.\",262.0,37,True,2022-04-14 22:03:15.000,2.9.3,263.0,allennlp,conda-forge/allennlp,,,['pytorch'],2636.0,2458.0,https://pypi.org/project/allennlp,2022-04-14 22:03:15.000,178.0,36514.0,37861.0,https://anaconda.org/conda-forge/allennlp,2022-04-15 04:27:02.306,55265.0,,,,,1.0,46.0,,,,,,,,,,,,,,,,,,,,\n63,pandas-profiling,ydataai/pandas-profiling,data-viz,,https://github.com/ydataai/pandas-profiling,https://github.com/ydataai/pandas-profiling,MIT,2016-01-09 23:47:55.000,2022-05-02 10:58:37.618000,2022-05-02 02:54:49,978,35.0,1302,150.0,392.0,119.0,452.0,8872,Create HTML profiling reports from pandas DataFrame objects.,86.0,37,True,2022-05-02 02:53:44.000,3.2.0,32.0,pandas-profiling,conda-forge/pandas-profiling,,,\"['jupyter', 'pandas']\",7821.0,7663.0,https://pypi.org/project/pandas-profiling,2021-09-27 23:12:22.000,158.0,1054886.0,1057775.0,https://anaconda.org/conda-forge/pandas-profiling,2022-05-02 10:58:37.618,199382.0,,,,,2.0,,,1.0,,,,,,,,,,,,,,,,,,\n64,Prefect,PrefectHQ/prefect,data-pipelines,,https://github.com/PrefectHQ/prefect,https://github.com/PrefectHQ/prefect,Apache-2.0,2018-06-29 21:59:26.000,2022-05-04 21:16:14.000000,2022-05-04 00:25:25,14496,118.0,870,146.0,3110.0,500.0,1713.0,8794,The easiest way to automate your data.,320.0,37,True,2022-04-27 21:09:20.000,1.2.1,129.0,prefect,conda-forge/prefect,,,,803.0,744.0,https://pypi.org/project/prefect,2022-04-27 21:09:20.000,59.0,229080.0,235843.0,https://anaconda.org/conda-forge/prefect,2022-04-28 18:00:46.827,257026.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n65,Optuna,optuna/optuna,hyperopt,,https://github.com/optuna/optuna,https://github.com/optuna/optuna,MIT,2018-02-21 06:12:56.000,2022-05-05 13:50:49.000000,2022-05-01 08:35:45,12398,806.0,695,128.0,2388.0,142.0,1034.0,6322,A hyperparameter optimization framework.,189.0,37,True,2021-10-04 06:37:16.000,2.10.0,45.0,optuna,conda-forge/optuna,,,,3410.0,3208.0,https://pypi.org/project/optuna,2022-04-12 04:16:37.000,202.0,2247685.0,2256725.0,https://anaconda.org/conda-forge/optuna,2021-10-04 08:58:48.864,271205.0,,,,,1.0,,,-1.0,,,,,,,,,,,,,,,,,,\n66,PyCaret,pycaret/pycaret,ml-experiments,,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000,2022-05-05 12:09:49.000000,2022-05-01 13:54:15,2292,119.0,1271,114.0,665.0,248.0,1247.0,5585,\"An open-source, low-code machine learning library in Python.\",78.0,37,True,2022-04-10 22:13:37.000,2.3.10,79.0,pycaret,conda-forge/pycaret,,,,2088.0,2076.0,https://pypi.org/project/pycaret,2022-04-10 22:13:37.000,12.0,483117.0,483574.0,https://anaconda.org/conda-forge/pycaret,2022-04-18 22:24:40.244,9088.0,,,,,1.0,558.0,,,,,,,,,,,,,,,,,,,,\n67,Dagster,dagster-io/dagster,data-pipelines,,https://github.com/dagster-io/dagster,https://github.com/dagster-io/dagster,Apache-2.0,2018-04-30 16:30:04.000,2022-05-05 14:47:33.000000,2022-05-05 14:47:30,10326,732.0,587,84.0,3543.0,982.0,3092.0,4657,\"An orchestration platform for the development, production, and observation of data assets.\",203.0,37,True,2022-04-28 21:27:22.000,0.14.13,448.0,dagster,conda-forge/dagster,,,,447.0,360.0,https://pypi.org/project/dagster,2022-04-28 20:45:15.000,87.0,218762.0,235072.0,https://anaconda.org/conda-forge/dagster,2022-04-29 18:44:19.356,489314.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n68,tensorflow-probability,tensorflow/probability,probabilistics,,https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000,2022-05-05 13:22:58.000000,2022-05-04 17:52:18,11423,147.0,967,167.0,398.0,550.0,672.0,3677,Probabilistic reasoning and statistical analysis in TensorFlow.,444.0,37,True,2022-02-14 17:24:33.000,0.16.0,42.0,tensorflow-probability,conda-forge/tensorflow-probability,,,['tensorflow'],311.0,,https://pypi.org/project/tensorflow-probability,2022-02-14 17:03:04.000,311.0,842003.0,843412.0,https://anaconda.org/conda-forge/tensorflow-probability,2022-01-26 19:31:32.633,54981.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n69,joblib,joblib/joblib,data-pipelines,,https://github.com/joblib/joblib,https://github.com/joblib/joblib,BSD-3-Clause,2010-05-07 06:48:26.000,2022-04-30 13:07:35.000000,2022-04-30 13:07:35,1406,15.0,316,63.0,602.0,332.0,395.0,2778,Computing with Python functions.,110.0,37,True,2021-10-07 14:42:42.000,1.1.0,102.0,joblib,conda-forge/joblib,,,,186224.0,181333.0,https://pypi.org/project/joblib,2021-10-07 14:42:42.000,4891.0,23691805.0,23812106.0,https://anaconda.org/conda-forge/joblib,2021-10-07 20:15:36.705,8421107.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n70,Shapely,shapely/shapely,geospatial-data,,https://github.com/shapely/shapely,https://github.com/shapely/shapely,BSD-3-Clause,2011-12-31 19:43:11.000,2022-05-05 11:20:47.121000,2022-04-30 08:45:04,2007,18.0,455,87.0,502.0,162.0,716.0,2765,Manipulation and analysis of geometric objects.,132.0,37,True,2022-05-03 21:29:09.000,1.8.2,108.0,shapely,conda-forge/shapely,,,,32725.0,28948.0,https://pypi.org/project/shapely,2022-05-03 21:29:09.000,3777.0,7002763.0,7047794.0,https://anaconda.org/conda-forge/shapely,2022-05-05 11:20:47.121,3557166.0,,,,,1.0,29.0,,1.0,,,,,,,,,,,,,,,,,,\n71,Thinc,explosion/thinc,ml-frameworks,,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59.000,2022-05-05 13:24:24.000000,2022-05-05 06:06:34,5063,45.0,241,85.0,536.0,23.0,103.0,2517,\"A refreshing functional take on deep learning, compatible with your favorite libraries.\",51.0,37,True,2022-03-15 13:37:06.000,8.0.15,202.0,thinc,conda-forge/thinc,,,,21664.0,21050.0,https://pypi.org/project/thinc,2022-03-15 13:37:06.000,614.0,4000158.0,4031455.0,https://anaconda.org/conda-forge/thinc,2022-03-15 17:15:05.102,1971754.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n72,SageMaker SDK,aws/sagemaker-python-sdk,ml-experiments,,https://github.com/aws/sagemaker-python-sdk,https://github.com/aws/sagemaker-python-sdk,Apache-2.0,2017-11-14 01:03:33.000,2022-05-04 18:16:19.000000,2022-05-03 18:35:05,2477,133.0,766,100.0,1953.0,355.0,677.0,1611,A library for training and deploying machine learning models on Amazon SageMaker.,256.0,37,True,2022-05-02 16:44:21.000,2.88.2,423.0,sagemaker,conda-forge/sagemaker-python-sdk,,,\"['mxnet', 'tensorflow']\",1377.0,1329.0,https://pypi.org/project/sagemaker,2022-05-02 16:44:26.000,48.0,5858756.0,5867201.0,https://anaconda.org/conda-forge/sagemaker-python-sdk,2022-04-27 11:38:07.825,253352.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n73,jieba,fxsjy/jieba,chinese-nlp,,https://github.com/fxsjy/jieba,https://github.com/fxsjy/jieba,MIT,2012-09-29 07:52:01.000,2022-04-07 12:41:40.000000,2020-02-15 08:33:35,523,,6437,1293.0,163.0,630.0,210.0,28457,Chinese Words Segmentation Utilities.,48.0,36,False,2020-01-20 14:27:23.000,0.42.1,32.0,jieba,conda-forge/jieba,,,,14687.0,13180.0,https://pypi.org/project/jieba,2020-01-20 14:27:23.000,1507.0,678047.0,679768.0,https://anaconda.org/conda-forge/jieba,2021-05-30 19:33:02.597,105034.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n74,PyTorch Geometric,pyg-team/pytorch_geometric,graph,,https://github.com/pyg-team/pytorch_geometric,https://github.com/pyg-team/pytorch_geometric,MIT,2017-10-06 16:03:03.000,2022-05-05 13:32:31.000000,2022-05-05 13:32:31,5506,182.0,2551,241.0,788.0,937.0,1590.0,14530,Graph Neural Network Library for PyTorch.,264.0,36,True,2022-03-12 16:46:16.000,2.0.4,33.0,torch-geometric,conda-forge/pytorch_geometric,,,['pytorch'],39.0,,https://pypi.org/project/torch-geometric,2022-03-12 16:46:16.000,39.0,74478.0,74756.0,https://anaconda.org/conda-forge/pytorch_geometric,2022-01-19 15:40:54.095,6131.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n75,horovod,horovod/horovod,distributed-ml,,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000,2022-05-05 13:23:45.000000,2022-05-05 08:41:17,1182,43.0,2048,334.0,1382.0,310.0,1708.0,12365,\"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.\",145.0,36,True,2022-04-21 08:29:28.000,0.24.3,71.0,horovod,,,,,604.0,574.0,https://pypi.org/project/horovod,2022-04-21 08:29:28.000,30.0,54072.0,54072.0,,,,,,,,1.0,,stable/horovod,,,,,,,,,,,,,,,,,,,\n76,ChatterBot,gunthercox/ChatterBot,nlp,,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00.000,2022-04-08 21:32:31.000000,2021-06-01 10:43:00,1848,,3947,554.0,695.0,300.0,1252.0,12212,\"ChatterBot is a machine learning, conversational dialog engine for creating chat bots.\",103.0,36,True,2020-08-22 18:42:43.000,1.0.8,86.0,chatterbot,,,,,4704.0,4354.0,https://pypi.org/project/chatterbot,2020-08-22 18:40:36.000,350.0,87217.0,87217.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n77,NNI,microsoft/nni,hyperopt,,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44.000,2022-05-05 11:48:56.000000,2022-05-03 16:28:43,2660,177.0,1585,272.0,3078.0,277.0,1321.0,11422,\"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..\",168.0,36,True,2022-04-18 13:06:42.000,2.7,49.0,nni,,,,,253.0,223.0,https://pypi.org/project/nni,2022-04-18 13:14:25.000,30.0,11385.0,11385.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n78,DVC,iterative/dvc,ml-experiments,,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000,2022-05-05 11:49:01.000000,2022-05-05 11:15:21,7472,189.0,926,134.0,3852.0,635.0,3022.0,9667,Data Version Control | Git for Data & Models | ML Experiments Management.,266.0,36,True,2022-04-28 13:08:05.000,2.10.2,349.0,dvc,conda-forge/dvc,,,,47.0,,https://pypi.org/project/dvc,2022-04-28 13:08:05.000,47.0,476474.0,510582.0,https://anaconda.org/conda-forge/dvc,2022-05-01 22:39:34.305,1033163.0,,,,,2.0,78149.0,,,,,,,,,dvc,dvc,dvc,,,,,,,,,\n79,dgl,dmlc/dgl,graph,,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000,2022-05-05 12:27:08.000000,2022-05-05 11:31:32,2228,129.0,2208,171.0,2532.0,253.0,1259.0,9470,\"Python package built to ease deep learning on graph, on top of existing DL frameworks.\",201.0,36,True,2022-04-17 05:19:36.000,0.8.1,439.0,dgl,,,,,45.0,3.0,https://pypi.org/project/dgl,2022-03-16 02:32:44.000,42.0,28902.0,28902.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n80,glfw,glfw/glfw,image,,https://github.com/glfw/glfw,https://github.com/glfw/glfw,Zlib,2013-04-18 15:24:53.000,2022-05-03 14:32:21.000000,2022-04-28 19:58:44,4486,86.0,3480,372.0,550.0,446.0,1141.0,9003,\"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.\",179.0,36,False,2022-04-09 06:23:40.000,2.5.3,45.0,glfw,conda-forge/glfw,,,,150.0,1.0,https://pypi.org/project/glfw,2022-04-09 06:23:40.000,149.0,56520.0,89574.0,https://anaconda.org/conda-forge/glfw,2022-04-05 23:26:20.177,50974.0,,,,,1.0,2730299.0,,,,,,,,,,,,,,,,,,,,\n81,Great Expectations,great-expectations/great_expectations,data-pipelines,,https://github.com/great-expectations/great_expectations,https://github.com/great-expectations/great_expectations,Apache-2.0,2017-09-11 00:18:46.000,2022-05-05 14:16:27.000000,2022-05-05 14:16:26,8851,680.0,936,63.0,3741.0,205.0,1092.0,6516,Always know what to expect from your data.,289.0,36,True,2022-04-28 18:41:43.000,0.15.3,157.0,great_expectations,conda-forge/great-expectations,,,,31.0,,https://pypi.org/project/great_expectations,2022-04-28 18:38:26.000,31.0,4748762.0,4756189.0,https://anaconda.org/conda-forge/great-expectations,2022-04-28 21:36:24.284,371352.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n82,Chainer,chainer/chainer,ml-frameworks,,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37.000,2022-03-08 01:34:55.000000,2022-01-05 04:28:43,30604,,1378,290.0,6582.0,10.0,2029.0,5680,A flexible framework of neural networks for deep learning.,320.0,36,True,2022-01-05 05:33:36.000,7.8.1,111.0,chainer,conda-forge/chainer,,,,2986.0,2585.0,https://pypi.org/project/chainer,2022-01-05 05:33:36.000,401.0,18579.0,18853.0,https://anaconda.org/conda-forge/chainer,2022-01-21 17:09:00.786,7401.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n83,espnet,espnet/espnet,audio,,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000,2022-05-05 03:58:35.000000,2022-04-29 07:11:56,14961,1120.0,1568,180.0,2506.0,324.0,1499.0,4993,End-to-End Speech Processing Toolkit.,270.0,36,True,2022-04-12 04:36:08.000,.202204,43.0,espnet,,,,,49.0,48.0,https://pypi.org/project/espnet,2022-04-12 04:36:31.000,1.0,7353.0,7354.0,,,,,,,,1.0,76.0,,,,,,,,,,,,,,,,,,,,\n84,dbt,dbt-labs/dbt-core,data-pipelines,,https://github.com/dbt-labs/dbt-core,https://github.com/dbt-labs/dbt-core,Apache-2.0,2016-03-10 02:38:00.000,2022-05-05 09:13:39.000000,2022-05-04 17:55:09,5459,125.0,862,103.0,2322.0,345.0,2449.0,4670,dbt enables data analysts and engineers to transform their data using the same practices that software engineers use..,212.0,36,True,2022-04-28 17:21:30.000,1.1.0,173.0,dbt,conda-forge/dbt,,,,461.0,432.0,https://pypi.org/project/dbt,2021-12-06 20:32:12.000,29.0,594973.0,597943.0,https://anaconda.org/conda-forge/dbt,2021-12-09 22:07:39.668,195791.0,,,,,2.0,306.0,,,,,,,,,dbt,,,,,,,,,,,\n85,MNE,mne-tools/mne-python,medical-data,,https://github.com/mne-tools/mne-python,https://github.com/mne-tools/mne-python,BSD-3-Clause,2011-01-28 03:31:13.000,2022-05-05 09:31:14.000000,2022-05-05 08:40:58,16823,184.0,1026,79.0,6582.0,391.0,3640.0,1922,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,286.0,36,True,2022-04-15 15:00:55.000,1.0.2,61.0,mne,conda-forge/mne,,,,1783.0,1572.0,https://pypi.org/project/mne,2022-04-15 15:00:55.000,211.0,53499.0,56554.0,https://anaconda.org/conda-forge/mne,2022-04-26 16:53:34.945,192481.0,,,,,1.0,,,-1.0,,,,,,,,,,,,,,,,,,\n86,Rasterio,rasterio/rasterio,geospatial-data,,https://github.com/rasterio/rasterio,https://github.com/rasterio/rasterio,BSD-3-Clause,2013-11-04 16:36:27.000,2022-05-04 23:55:16.000000,2022-05-02 14:24:59,3530,51.0,463,155.0,919.0,144.0,1387.0,1720,Rasterio reads and writes geospatial raster datasets.,126.0,36,True,2021-10-21 15:00:11.000,1.3a2,135.0,rasterio,conda-forge/rasterio,,,,5565.0,4800.0,https://pypi.org/project/rasterio,2022-04-21 04:31:56.000,765.0,733512.0,753737.0,https://anaconda.org/conda-forge/rasterio,2022-03-11 00:28:09.879,1495986.0,,,,,1.0,756.0,,,,,,,,,,,,,,,,,,,,\n87,TF Addons,tensorflow/addons,tensorflow-utils,,https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17.000,2022-04-26 03:36:42.000000,2022-04-19 18:37:43,1451,17.0,502,55.0,1795.0,218.0,711.0,1494,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,190.0,36,True,2022-02-15 18:08:05.000,0.16.1,30.0,tensorflow-addons,,,,['tensorflow'],6380.0,6223.0,https://pypi.org/project/tensorflow-addons,2022-02-15 18:36:55.000,157.0,1931011.0,1931011.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n88,imageio,imageio/imageio,image,,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000,2022-05-04 13:52:05.972000,2022-05-02 13:03:28,1371,38.0,210,31.0,361.0,62.0,386.0,1039,Python library for reading and writing image data.,88.0,36,True,2022-05-02 04:02:54.000,2.19.0,54.0,imageio,conda-forge/imageio,,,,63412.0,60796.0,https://pypi.org/project/imageio,2022-05-02 04:02:50.000,2616.0,14621604.0,14665147.0,https://anaconda.org/conda-forge/imageio,2022-05-04 13:52:05.972,2786521.0,,,,,1.0,209.0,,,,,,,,,,,,,,,,,,,,\n89,PaddleOCR,PaddlePaddle/PaddleOCR,ocr,,https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000,2022-05-05 13:01:34.000000,2022-05-02 05:59:45,4018,124.0,4287,344.0,1815.0,1047.0,3336.0,20345,\"Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages..\",108.0,35,True,2021-05-26 11:43:06.000,2.1.1,25.0,paddleocr,,,,['paddle'],626.0,620.0,https://pypi.org/project/paddleocr,2022-04-25 10:28:14.000,6.0,51107.0,51107.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n90,EasyOCR,JaidedAI/EasyOCR,ocr,,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000,2022-05-03 14:58:56.000000,2022-04-09 08:05:04,498,14.0,2029,280.0,160.0,100.0,446.0,14670,\"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..\",98.0,35,True,2022-04-09 07:44:16.000,1.4.2,26.0,easyocr,,,,,1136.0,1106.0,https://pypi.org/project/easyocr,2022-04-09 07:44:16.000,30.0,109001.0,173862.0,,,,,,,,1.0,1491811.0,,,,,,,,,,,,,,,,,,,,\n91,imgaug,aleju/imgaug,image,,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33.000,2022-04-19 16:23:54.000000,2020-06-01 14:58:26,2913,,2286,228.0,330.0,277.0,220.0,12569,Image augmentation for machine learning experiments.,36.0,35,False,2020-02-06 06:18:40.000,0.4.0,11.0,imgaug,conda-forge/imgaug,,,,10219.0,9843.0,https://pypi.org/project/imgaug,2020-02-05 20:54:22.000,376.0,393386.0,395335.0,https://anaconda.org/conda-forge/imgaug,2021-12-31 00:20:29.231,68225.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n92,MoviePy,Zulko/moviepy,image,,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000,2022-04-17 11:05:16.000000,2022-03-26 19:54:42,1074,2.0,1238,244.0,607.0,286.0,878.0,9201,Video editing with Python.,147.0,35,True,2020-05-07 16:29:35.000,1.0.3,85.0,moviepy,conda-forge/moviepy,,,,16127.0,15377.0,https://pypi.org/project/moviepy,2020-10-05 00:26:29.000,750.0,4538525.0,4540394.0,https://anaconda.org/conda-forge/moviepy,2022-04-16 23:09:18.943,108415.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n93,ParlAI,facebookresearch/ParlAI,nlp,,https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44.000,2022-05-04 00:27:23.000000,2022-05-04 00:27:22,4142,88.0,1833,286.0,3123.0,91.0,1228.0,8800,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,181.0,35,True,2022-03-30 19:34:02.000,1.6.0,22.0,parlai,,,,['pytorch'],77.0,74.0,https://pypi.org/project/parlai,2022-03-30 19:34:02.000,3.0,1787.0,1787.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n94,PySyft,OpenMined/PySyft,privacy-ml,,https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,Apache-2.0,2017-07-18 20:41:16.000,2022-05-05 13:34:14.000000,2022-05-05 07:57:25,14738,1535.0,1809,213.0,3352.0,337.0,2768.0,8083,A library for answering questions using data you cannot see.,441.0,35,True,2021-12-01 19:46:09.000,0.6.0,76.0,syft,,,,['pytorch'],5.0,,https://pypi.org/project/syft,2022-05-01 12:28:08.000,5.0,4585.0,4585.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n95,Kedro,kedro-org/kedro,data-pipelines,,https://github.com/kedro-org/kedro,https://github.com/kedro-org/kedro,Apache-2.0,2019-04-18 10:29:56.000,2022-05-05 14:40:17.000000,2022-04-27 10:12:29,1892,138.0,644,102.0,648.0,97.0,634.0,7161,\"A Python framework for creating reproducible, maintainable and modular data science code.\",150.0,35,True,2022-03-31 16:07:31.000,0.18.0,32.0,kedro,,,,,886.0,850.0,https://pypi.org/project/kedro,2022-03-31 16:07:31.000,36.0,314073.0,314073.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n96,Gradio,gradio-app/gradio,others,,https://github.com/gradio-app/gradio,https://github.com/gradio-app/gradio,Apache-2.0,2018-12-19 08:24:04.000,2022-05-05 14:18:56.000000,2022-05-05 13:14:00,3980,861.0,416,73.0,457.0,119.0,467.0,6680,\"Wrap UIs around any model, share with anyone.\",72.0,35,True,2022-04-15 06:32:08.000,2.9.4,243.0,gradio,,,,,770.0,752.0,https://pypi.org/project/gradio,2022-05-04 08:58:32.000,18.0,145418.0,145418.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n97,Kornia,kornia/kornia,image,,https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000,2022-05-03 15:37:54.000000,2022-05-02 09:44:26,2019,63.0,627,109.0,1065.0,158.0,420.0,6304,Open Source Differentiable Computer Vision Library.,166.0,35,True,2022-03-21 14:49:42.000,0.6.4,28.0,kornia,conda-forge/kornia,,,['pytorch'],1305.0,1259.0,https://pypi.org/project/kornia,2022-03-21 14:49:42.000,46.0,249283.0,249912.0,https://anaconda.org/conda-forge/kornia,2022-03-21 17:47:24.012,14954.0,,,,,2.0,273.0,,,,,,,,,,,,,,,,,,,,\n98,stanza,stanfordnlp/stanza,nlp,,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56.000,2022-05-05 07:55:00.000000,2022-04-23 04:36:46,2654,387.0,788,144.0,335.0,86.0,618.0,6104,Official Stanford NLP Python Library for Many Human Languages.,48.0,35,True,2022-04-23 06:01:01.000,1.4.0,15.0,stanza,stanfordnlp/stanza,,,,1083.0,1016.0,https://pypi.org/project/stanza,2022-04-23 05:55:13.000,67.0,389817.0,390010.0,https://anaconda.org/stanfordnlp/stanza,2022-04-23 06:42:39.551,5038.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n99,PyOD,yzhao062/pyod,others,,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04.000,2022-05-03 05:45:03.000000,2022-04-23 22:40:22,1493,79.0,1085,150.0,160.0,123.0,128.0,5594,A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection).,38.0,35,True,2022-04-23 22:47:22.000,1.0.0,78.0,pyod,conda-forge/pyod,,,,1306.0,1274.0,https://pypi.org/project/pyod,2022-04-23 22:44:51.000,32.0,486099.0,486854.0,https://anaconda.org/conda-forge/pyod,2022-04-24 02:07:32.252,19633.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n100,UMAP,lmcinnes/umap,data-viz,,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17.000,2022-04-26 14:01:59.000000,2022-04-26 14:01:59,1576,12.0,630,124.0,209.0,325.0,290.0,5562,Uniform Manifold Approximation and Projection.,99.0,35,True,2022-04-13 21:20:36.000,0.5.3,37.0,umap-learn,conda-forge/umap-learn,,,,5500.0,5192.0,https://pypi.org/project/umap-learn,2022-04-13 21:20:36.000,308.0,680552.0,701215.0,https://anaconda.org/conda-forge/umap-learn,2022-04-14 03:58:56.571,1012498.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n101,sktime,alan-turing-institute/sktime,time-series-data,,https://github.com/alan-turing-institute/sktime,https://github.com/alan-turing-institute/sktime,BSD-3-Clause,2018-11-06 15:08:24.000,2022-05-05 14:21:15.000000,2022-05-05 14:21:14,2561,289.0,848,111.0,1399.0,400.0,739.0,5297,A unified framework for machine learning with time series.,168.0,35,True,2022-04-30 21:59:53.000,0.11.3,23.0,sktime,conda-forge/sktime-all-extras,,,['sklearn'],448.0,425.0,https://pypi.org/project/sktime,2022-04-30 21:59:53.000,23.0,125014.0,125346.0,https://anaconda.org/conda-forge/sktime-all-extras,2022-05-01 14:13:52.707,3302.0,,,,,1.0,76.0,,,,,,,,,,,,,,,,,,,,\n102,wandb client,wandb/client,ml-experiments,,https://github.com/wandb/client,https://github.com/wandb/client,MIT,2017-03-24 05:46:23.000,2022-05-05 05:57:49.000000,2022-05-05 05:51:14,4560,171.0,314,34.0,1932.0,444.0,1388.0,3867,A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.,110.0,35,True,2022-05-03 17:05:22.000,0.12.16,222.0,wandb,conda-forge/wandb,,,,242.0,,https://pypi.org/project/wandb,2022-05-03 17:01:07.000,242.0,1746959.0,1749333.0,https://anaconda.org/conda-forge/wandb,2022-04-11 14:19:16.792,52240.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n103,TensorFlow Datasets,tensorflow/datasets,tensorflow-utils,,https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000,2022-05-04 19:43:20.000000,2022-05-04 19:43:15,4765,142.0,1252,103.0,2940.0,566.0,614.0,3239,\"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...\",249.0,35,True,2022-01-31 15:45:29.000,4.5.2,26.0,tensorflow-datasets,conda-forge/tensorflow-datasets,,,['tensorflow'],162.0,,https://pypi.org/project/tensorflow-datasets,2022-01-31 15:42:28.000,162.0,1237219.0,1237566.0,https://anaconda.org/conda-forge/tensorflow-datasets,2021-08-17 15:33:14.368,4165.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n104,GeoPandas,geopandas/geopandas,geospatial-data,,https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000,2022-04-28 22:37:37.000000,2022-04-28 22:20:30,1568,33.0,682,106.0,1167.0,400.0,923.0,3114,Python tools for geographic data.,172.0,35,True,2021-10-16 06:59:55.000,0.10.2,40.0,geopandas,conda-forge/geopandas,,,['pandas'],14555.0,13465.0,https://pypi.org/project/geopandas,2021-10-16 06:59:50.000,1090.0,2346733.0,2367315.0,https://anaconda.org/conda-forge/geopandas,2021-12-01 18:19:27.710,1521518.0,,,,,2.0,1488.0,,,,,,,,,,,,,,,,,,,,\n105,tensorflow-hub,tensorflow/hub,tensorflow-utils,,https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42.000,2022-04-28 09:12:52.000000,2022-04-28 09:12:49,1056,31.0,1629,139.0,203.0,14.0,629.0,3099,A library for transfer learning by reusing parts of TensorFlow models.,90.0,35,True,2021-04-14 13:17:26.000,0.12.0,15.0,tensorflow-hub,conda-forge/tensorflow-hub,,,['tensorflow'],11832.0,11548.0,https://pypi.org/project/tensorflow-hub,2021-04-14 12:54:13.000,284.0,3746323.0,3747637.0,https://anaconda.org/conda-forge/tensorflow-hub,2021-04-18 18:01:14.779,61769.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n106,AzureML SDK,Azure/MachineLearningNotebooks,ml-experiments,,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000,2022-05-04 23:16:28.000000,2022-05-04 23:16:28,1197,30.0,2132,2064.0,473.0,276.0,1030.0,2993,Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft.,60.0,35,True,2022-03-29 17:46:48.000,1.40.0,88.0,azureml-sdk,,,,,45.0,,https://pypi.org/project/azureml-sdk,2022-04-25 16:23:00.000,45.0,775045.0,775055.0,,,,,,,,2.0,457.0,,,,,,,,,,,,,,,,,,,,\n107,Flax,google/flax,ml-frameworks,,https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000,2022-05-05 13:50:16.000000,2022-05-05 13:50:13,2716,247.0,335,72.0,1229.0,128.0,383.0,2929,Flax is a neural network library for JAX that is designed for flexibility.,143.0,35,True,2022-05-05 12:48:08.000,0.4.2,18.0,flax,conda-forge/flax,,,['jax'],960.0,894.0,https://pypi.org/project/flax,2022-05-05 12:48:08.000,66.0,120380.0,120634.0,https://anaconda.org/conda-forge/flax,2022-03-23 23:59:23.803,3544.0,,,,,2.0,38.0,,,,,,,,,,,,,,,,,,,,\n108,spark-nlp,JohnSnowLabs/spark-nlp,nlp,,https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000,2022-05-05 14:48:16.000000,2022-05-05 12:56:49,16126,2200.0,554,90.0,7540.0,54.0,619.0,2706,State of the Art Natural Language Processing.,122.0,35,True,2022-04-12 20:08:39.000,3.4.3,102.0,spark-nlp,,,,['spark'],10.0,,https://pypi.org/project/spark-nlp,2022-04-12 15:18:25.000,10.0,1589672.0,1589672.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n109,HoloViews,holoviz/holoviews,data-viz,,https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000,2022-05-05 13:41:54.000000,2022-05-05 13:07:10,10314,39.0,354,60.0,2503.0,861.0,1925.0,2178,\"With Holoviews, your data visualizes itself.\",120.0,35,True,2022-02-16 13:26:03.000,1.14.8,86.0,holoviews,conda-forge/holoviews,,,['jupyter'],212.0,,https://pypi.org/project/holoviews,2022-05-04 07:15:49.000,212.0,434702.0,446128.0,https://anaconda.org/conda-forge/holoviews,2022-02-16 13:45:49.563,692694.0,,,,,2.0,,,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,2020-05-24 13:49:54.205,,1806.0,,,,,,,,,,,,,\n110,Graphviz,xflr6/graphviz,data-viz,,https://github.com/xflr6/graphviz,https://github.com/xflr6/graphviz,MIT,2014-01-12 17:49:29.000,2022-04-17 16:58:20.000000,2022-04-17 16:58:13,1162,30.0,180,29.0,35.0,6.0,129.0,1186,Simple Python interface for Graphviz.,18.0,35,True,2022-04-08 20:21:52.000,0.19.2,55.0,graphviz,anaconda/python-graphviz,,,,33700.0,30726.0,https://pypi.org/project/graphviz,2022-04-16 15:32:15.000,2974.0,9296112.0,9296435.0,https://anaconda.org/anaconda/python-graphviz,2021-02-04 16:09:32.067,19758.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n111,pyproj,pyproj4/pyproj,geospatial-data,,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000,2022-04-28 00:42:14.000000,2022-04-28 00:42:14,1321,32.0,177,29.0,525.0,15.0,474.0,746,Python interface to PROJ (cartographic projections and coordinate transformations library).,49.0,35,True,2022-04-22 02:02:50.000,3.3.1,45.0,pyproj,conda-forge/pyproj,,,,15735.0,14061.0,https://pypi.org/project/pyproj,2022-04-22 02:02:50.000,1674.0,4703888.0,4746961.0,https://anaconda.org/conda-forge/pyproj,2022-04-24 13:20:52.178,3316658.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n112,DeepSpeech,mozilla/DeepSpeech,audio,,https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53.000,2022-03-09 13:18:48.000000,2021-11-17 17:52:52,3466,,3477,659.0,1657.0,119.0,1955.0,19470,\"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..\",162.0,34,True,2020-12-10 17:22:09.000,0.9.3,100.0,deepspeech,conda-forge/deepspeech,,,['tensorflow'],765.0,728.0,https://pypi.org/project/deepspeech,2020-12-19 10:05:12.000,37.0,11734.0,30646.0,https://anaconda.org/conda-forge/deepspeech,2021-07-29 19:26:04.079,463.0,,,,,1.0,830146.0,,,,,,,,,,,,,,,,,,,,\n113,Faiss,facebookresearch/faiss,nn-search,,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000,2022-04-30 16:19:17.000000,2022-04-30 16:16:06,620,29.0,2590,444.0,493.0,180.0,1615.0,16844,A library for efficient similarity search and clustering of dense vectors.,97.0,34,True,2022-04-02 07:36:26.000,2.0.2,61.0,pymilvus,conda-forge/faiss,,,,642.0,626.0,https://pypi.org/project/pymilvus,2022-04-02 07:36:26.000,16.0,36824.0,49194.0,https://anaconda.org/conda-forge/faiss,2022-02-09 02:10:28.516,296898.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n114,Recommenders,microsoft/recommenders,recommender-systems,,https://github.com/microsoft/recommenders,https://github.com/microsoft/recommenders,MIT,2018-09-19 10:06:07.000,2022-05-04 07:56:12.000000,2022-03-31 17:52:29,7654,141.0,2276,258.0,1034.0,137.0,544.0,13031,Best Practices on Recommendation Systems.,115.0,34,True,2022-04-01 09:25:04.000,1.1.0,11.0,recommenders,,,,,25.0,23.0,https://pypi.org/project/recommenders,2022-04-01 08:49:49.000,2.0,95853.0,95856.0,,,,,,,,1.0,155.0,,,,,,,,,,,,,,,,,,,,\n115,pyecharts,pyecharts/pyecharts,data-viz,,https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000,2022-04-25 06:07:07.000000,2022-04-25 06:07:07,1523,1.0,2625,380.0,435.0,32.0,1566.0,12285,Python Echarts Plotting Library.,30.0,34,True,2021-11-16 06:27:35.000,1.9.1,67.0,pyecharts,,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,['jupyter'],2430.0,2215.0,https://pypi.org/project/pyecharts,2021-11-16 06:27:35.000,215.0,67749.0,67749.0,,,,,,,,2.0,,,-1.0,,,,,,,,,,,,,,,,,,\n116,tensor2tensor,tensorflow/tensor2tensor,tensorflow-utils,,https://github.com/tensorflow/tensor2tensor,https://github.com/tensorflow/tensor2tensor,Apache-2.0,2017-06-15 16:57:39.000,2022-04-15 18:02:24.000000,2022-04-15 18:02:23,4371,9.0,3002,450.0,665.0,564.0,669.0,12254,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,239.0,34,True,2020-06-17 16:15:36.000,1.15.7,79.0,tensor2tensor,,,,['tensorflow'],1263.0,1170.0,https://pypi.org/project/tensor2tensor,2020-06-17 16:15:36.000,93.0,13487.0,13487.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n117,InsightFace,deepinsight/insightface,image,,https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,MIT,2017-09-01 00:36:51.000,2022-05-03 06:10:09.000000,2022-05-03 06:10:09,2033,60.0,3765,456.0,118.0,1041.0,856.0,11752,State-of-the-art 2D and 3D Face Analysis Project.,42.0,34,True,2022-01-29 17:29:00.000,0.6.2,24.0,insightface,,,,['mxnet'],161.0,156.0,https://pypi.org/project/insightface,2022-01-29 17:29:00.000,5.0,20294.0,20294.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n118,AutoKeras,keras-team/autokeras,hyperopt,,https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20.000,2022-05-01 04:25:29.000000,2022-05-01 04:25:28,1313,30.0,1371,309.0,809.0,80.0,735.0,8476,AutoML library for deep learning.,136.0,34,True,2022-04-30 05:35:07.000,1.0.19,56.0,autokeras,,,,['tensorflow'],312.0,302.0,https://pypi.org/project/autokeras,2022-04-30 05:46:13.000,10.0,58631.0,58702.0,,,,,,,,1.0,3867.0,,,,,,,,,,,,,,,,,,,,\n119,TextBlob,sloria/TextBlob,nlp,,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18.000,2021-12-15 14:34:36.304000,2021-10-22 03:17:05,562,,1057,269.0,155.0,101.0,155.0,8136,\"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..\",35.0,34,True,2021-10-22 03:18:24.000,0.17.1,59.0,textblob,conda-forge/textblob,,,,21027.0,19659.0,https://pypi.org/project/textblob,2021-12-15 14:34:36.304,1368.0,919450.0,921727.0,https://anaconda.org/conda-forge/textblob,2019-02-24 23:32:55.233,157159.0,,,,,2.0,98.0,,,,,,,,,,,,,,,,,,,,\n120,Vowpal Wabbit,VowpalWabbit/vowpal_wabbit,ml-frameworks,,https://github.com/VowpalWabbit/vowpal_wabbit,https://github.com/VowpalWabbit/vowpal_wabbit,BSD-3-Clause,2009-07-31 19:36:58.000,2022-05-05 13:58:18.000000,2022-05-04 19:49:28,9844,164.0,1797,365.0,2745.0,130.0,1042.0,7947,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,316.0,34,True,2022-04-06 16:26:31.000,9.1.0,21.0,vowpalwabbit,conda-forge/vowpalwabbit,,,,30.0,,https://pypi.org/project/vowpalwabbit,2022-04-06 16:26:31.000,30.0,52663.0,54364.0,https://anaconda.org/conda-forge/vowpalwabbit,2022-04-07 14:53:54.020,57850.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n121,sentence-transformers,UKPLab/sentence-transformers,nlp,,https://github.com/UKPLab/sentence-transformers,https://github.com/UKPLab/sentence-transformers,Apache-2.0,2019-07-24 10:53:51.000,2022-05-03 14:58:10.000000,2022-04-21 14:55:52,1081,39.0,1523,108.0,150.0,725.0,686.0,7615,Multilingual Sentence & Image Embeddings with BERT.,78.0,34,True,2022-02-10 13:12:24.000,2.2.0,41.0,sentence-transformers,conda-forge/sentence-transformers,,,['pytorch'],3177.0,3071.0,https://pypi.org/project/sentence-transformers,2022-02-10 13:03:50.000,106.0,1967122.0,1968104.0,https://anaconda.org/conda-forge/sentence-transformers,2022-02-20 20:12:27.598,19657.0,,,,,2.0,,,-1.0,,,,,,,,,,,,,,,,,,\n122,yfinance,ranaroussi/yfinance,financial-data,,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000,2022-04-25 09:24:50.000000,2022-01-30 12:13:53,397,,1527,199.0,219.0,435.0,339.0,6987,Download market data from Yahoo! Finances API.,53.0,34,True,2022-01-30 12:14:45.000,0.1.70,35.0,yfinance,ranaroussi/yfinance,,,,11293.0,11174.0,https://pypi.org/project/yfinance,2022-01-30 12:14:45.000,119.0,332312.0,336338.0,https://anaconda.org/ranaroussi/yfinance,2021-07-10 20:29:09.532,40268.0,,,,,1.0,,,1.0,,,,,,,,,,,,,,,,,,\n123,sentencepiece,google/sentencepiece,nlp,,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000,2022-04-12 05:44:27.000000,2022-04-12 05:44:27,712,10.0,786,109.0,230.0,58.0,484.0,5842,Unsupervised text tokenizer for Neural Network-based text generation.,64.0,34,True,2021-06-18 09:34:31.000,0.1.96,31.0,sentencepiece,conda-forge/sentencepiece,,,,15002.0,14651.0,https://pypi.org/project/sentencepiece,2021-06-18 09:34:31.000,351.0,5640010.0,5648577.0,https://anaconda.org/conda-forge/sentencepiece,2022-04-08 22:58:03.701,178299.0,,,,,2.0,20861.0,,,,,,,,,,,,,,,,,,,,\n124,folium,python-visualization/folium,geospatial-data,,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000,2022-05-05 12:52:30.000000,2022-05-05 12:48:56,1525,8.0,2047,172.0,671.0,204.0,718.0,5721,Python Data. Leaflet.js Maps.,128.0,34,True,2021-11-19 21:01:43.000,0.12.1.post1,26.0,folium,conda-forge/folium,,,,16293.0,15662.0,https://pypi.org/project/folium,2021-11-19 21:08:10.000,631.0,1025186.0,1034993.0,https://anaconda.org/conda-forge/folium,2021-12-03 19:47:05.533,725741.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n125,Tokenizers,huggingface/tokenizers,nlp,,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000,2022-05-05 13:48:40.000000,2022-05-05 13:48:40,1579,51.0,468,99.0,384.0,190.0,435.0,5566,Fast State-of-the-Art Tokenizers optimized for Research and Production.,56.0,34,True,2022-04-13 10:17:35.000,0.12.1,71.0,tokenizers,conda-forge/tokenizers,,,,163.0,48.0,https://pypi.org/project/tokenizers,2022-04-13 10:17:35.000,115.0,6797746.0,6804105.0,https://anaconda.org/conda-forge/tokenizers,2022-04-13 14:08:42.133,139905.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n126,librosa,librosa/librosa,audio,,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000,2022-04-22 17:47:03.000000,2022-04-22 17:47:00,3144,12.0,787,136.0,514.0,34.0,926.0,5163,Python library for audio and music analysis.,95.0,34,True,2022-02-15 23:14:52.000,0.9.1,34.0,librosa,conda-forge/librosa,,,,1172.0,,https://pypi.org/project/librosa,2022-02-15 23:14:52.000,1172.0,895703.0,902182.0,https://anaconda.org/conda-forge/librosa,2022-02-15 23:33:02.381,453571.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n127,MLxtend,rasbt/mlxtend,sklearn-utils,,https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16.000,2022-05-05 14:46:41.000000,2022-05-05 14:46:41,1305,42.0,748,119.0,465.0,105.0,305.0,3898,A library of extension and helper modules for Pythons data analysis and machine learning libraries.,88.0,34,True,2021-09-03 00:02:55.000,0.19.0,47.0,mlxtend,conda-forge/mlxtend,,,['sklearn'],5935.0,5790.0,https://pypi.org/project/mlxtend,2021-09-03 00:02:55.000,145.0,1524835.0,1528305.0,https://anaconda.org/conda-forge/mlxtend,2021-09-03 13:27:33.719,201295.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n128,geopy,geopy/geopy,geospatial-data,,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000,2022-04-18 16:47:42.000000,2021-09-26 10:28:21,1072,,562,98.0,251.0,27.0,228.0,3625,Geocoding library for Python.,124.0,34,True,2021-07-11 12:18:10.000,2.2.0,58.0,geopy,conda-forge/geopy,,,,41209.0,37330.0,https://pypi.org/project/geopy,2021-07-11 12:15:26.000,3879.0,3567406.0,3576769.0,https://anaconda.org/conda-forge/geopy,2021-07-12 18:34:05.605,692892.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n129,DeepChem,deepchem/deepchem,others,,https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000,2022-04-29 12:49:50.000000,2022-04-22 18:49:15,7594,183.0,1265,154.0,1499.0,451.0,1000.0,3584,\"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.\",190.0,34,True,2022-01-18 21:35:03.000,2.6.1,404.0,deepchem,conda-forge/deepchem,,,['tensorflow'],88.0,84.0,https://pypi.org/project/deepchem,2022-04-22 20:31:19.000,4.0,7956.0,8304.0,https://anaconda.org/conda-forge/deepchem,2022-01-19 16:40:21.191,9400.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n130,ART,Trusted-AI/adversarial-robustness-toolbox,adversarial,,https://github.com/Trusted-AI/adversarial-robustness-toolbox,https://github.com/Trusted-AI/adversarial-robustness-toolbox,MIT,2018-03-15 14:40:43.000,2022-05-05 13:23:47.000000,2022-05-05 13:23:43,9961,420.0,811,90.0,892.0,82.0,588.0,2965,\"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..\",97.0,34,True,2022-04-22 11:11:56.000,1.10.1,40.0,adversarial-robustness-toolbox,conda-forge/adversarial-robustness-toolbox,,,,220.0,214.0,https://pypi.org/project/adversarial-robustness-toolbox,2022-04-22 10:59:06.000,6.0,7930.0,8334.0,https://anaconda.org/conda-forge/adversarial-robustness-toolbox,2022-01-10 15:59:27.185,8890.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n131,opencv-python,opencv/opencv-python,image,,https://github.com/opencv/opencv-python,https://github.com/opencv/opencv-python,MIT,2016-04-08 13:36:40.000,2022-04-12 08:06:05.000000,2022-04-12 08:06:05,847,24.0,531,79.0,120.0,40.0,500.0,2724,\"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..\",38.0,34,True,2022-03-04 06:31:59.000,64,63.0,opencv-python,,,,,8937.0,,https://pypi.org/project/opencv-python,2022-03-09 05:54:04.000,8937.0,5318107.0,5318107.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n132,snakemake,snakemake/snakemake,ml-experiments,,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867,2022-05-05 13:00:42.000000,2022-05-04 09:20:59,4460,175.0,321,21.0,692.0,585.0,397.0,1342,\"This is the development home of the workflow management system Snakemake. For general information, see.\",252.0,34,True,2022-05-04 09:22:23.000,7.6.1,226.0,snakemake,bioconda/snakemake,,,,1312.0,1101.0,https://pypi.org/project/snakemake,2022-05-04 09:22:23.000,211.0,40471.0,45836.0,https://anaconda.org/bioconda/snakemake,2022-05-04 10:54:35.274,423863.0,,,,,2.0,,,1.0,,,,,,,,,,,,,,,,,,\n133,Fiona,Toblerity/Fiona,geospatial-data,,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00.000,2022-05-04 23:58:19.000000,2022-03-01 20:04:14,1294,10.0,178,46.0,418.0,77.0,599.0,912,Fiona reads and writes geographic data files.,66.0,34,True,2022-02-07 17:34:18.000,1.8.21,99.0,fiona,conda-forge/fiona,,,,9251.0,8478.0,https://pypi.org/project/fiona,2022-02-07 17:17:02.000,773.0,2664116.0,2701535.0,https://anaconda.org/conda-forge/fiona,2022-03-26 18:46:30.295,2769046.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n134,Nilearn,nilearn/nilearn,medical-data,,https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000,2022-05-04 20:14:20.000000,2022-05-01 19:49:55,9597,38.0,440,78.0,1674.0,270.0,1325.0,833,Machine learning for NeuroImaging in Python.,181.0,34,True,2022-04-13 13:12:02.000,0.9.1,40.0,nilearn,conda-forge/nilearn,,,['sklearn'],1743.0,1505.0,https://pypi.org/project/nilearn,2022-04-13 13:08:52.000,238.0,19753.0,21822.0,https://anaconda.org/conda-forge/nilearn,2022-04-13 18:14:56.456,148774.0,,,,,1.0,40.0,,,,,,,,,,,,,,,,,,,,\n135,NIPYPE,nipy/nipype,medical-data,,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000,2022-04-28 18:44:00.000000,2022-04-28 13:25:14,14510,152.0,487,49.0,2201.0,374.0,905.0,627,Workflows and interfaces for neuroimaging packages.,236.0,34,True,2022-04-05 15:25:59.000,1.7.1,57.0,nipype,conda-forge/nipype,,,,1064.0,912.0,https://pypi.org/project/nipype,2022-04-05 15:22:58.000,152.0,53077.0,59724.0,https://anaconda.org/conda-forge/nipype,2022-04-05 16:30:07.606,465305.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n136,NiBabel,nipy/nibabel,medical-data,,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30.000,2022-04-01 19:46:05.000000,2022-03-19 22:51:40,5123,52.0,234,41.0,672.0,140.0,318.0,473,Python package to access a cacophony of neuro-imaging file formats.,93.0,34,True,2022-02-07 16:58:12.000,3.2.2,33.0,nibabel,conda-forge/nibabel,,,,7950.0,6981.0,https://pypi.org/project/nibabel,2022-02-07 16:58:12.000,969.0,180107.0,186052.0,https://anaconda.org/conda-forge/nibabel,2022-02-07 20:18:47.734,428073.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n137,Face Recognition,ageitgey/face_recognition,image,,https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39.000,2022-04-03 13:40:00.000000,2021-06-14 10:10:40,219,,12204,1591.0,192.0,680.0,559.0,44070,The worlds simplest facial recognition api for Python and the command line.,47.0,33,True,2018-08-21 18:34:21.000,1.2.3,21.0,face_recognition,conda-forge/face_recognition,,,['pytorch'],207.0,,https://pypi.org/project/face_recognition,2018-08-21 18:34:21.000,207.0,50808.0,51114.0,https://anaconda.org/conda-forge/face_recognition,2021-04-30 19:06:15.265,5981.0,,,,,2.0,458.0,,,,,,,,,,,,,,,,,,,,\n138,fastText,facebookresearch/fastText,nlp,,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000,2022-04-28 12:09:20.000000,2022-03-04 15:19:01,381,2.0,4392,859.0,243.0,470.0,602.0,23579,Library for fast text representation and classification.,59.0,33,True,2020-04-28 09:54:50.000,0.9.2,35.0,fasttext,conda-forge/fasttext,,,,3053.0,2877.0,https://pypi.org/project/fasttext,2020-04-28 09:54:50.000,176.0,509666.0,510189.0,https://anaconda.org/conda-forge/fasttext,2022-04-16 18:03:36.665,28778.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n139,detectron2,facebookresearch/detectron2,image,,https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000,2022-05-04 16:50:03.000000,2022-05-04 01:57:31,1350,16.0,5635,345.0,463.0,203.0,2773.0,20782,\"Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.\",203.0,33,True,2021-11-15 22:08:26.000,0.6,10.0,detectron2,conda-forge/detectron2,,,['pytorch'],597.0,594.0,https://pypi.org/project/detectron2,2020-02-06 00:35:57.000,3.0,,1988.0,https://anaconda.org/conda-forge/detectron2,2022-04-25 07:03:51.961,47725.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n140,Magenta,magenta/magenta,audio,,https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40.000,2022-05-02 01:13:38.000000,2022-04-16 00:54:32,1407,13.0,3518,787.0,1114.0,321.0,574.0,17582,Magenta: Music and Art Generation with Machine Intelligence.,151.0,33,True,2020-11-12 19:17:18.000,2.1.3,66.0,magenta,,,,['tensorflow'],391.0,355.0,https://pypi.org/project/magenta,2020-11-12 19:17:18.000,36.0,4946.0,4946.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n141,Prophet,facebook/prophet,time-series-data,,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000,2022-05-05 12:39:19.000000,2022-05-05 12:39:17,709,11.0,4158,417.0,350.0,226.0,1589.0,14389,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,143.0,33,True,2021-04-02 23:45:16.000,1.0,14.0,fbprophet,conda-forge/prophet,,,,126.0,,https://pypi.org/project/fbprophet,2020-09-05 16:12:50.000,126.0,1301618.0,1304887.0,https://anaconda.org/conda-forge/prophet,2021-08-23 03:00:23.164,42371.0,,,,,1.0,646.0,,,,,,,,,,,,,,,,,,,,\n142,PaddleHub,PaddlePaddle/PaddleHub,others,,https://github.com/PaddlePaddle/PaddleHub,https://github.com/PaddlePaddle/PaddleHub,Apache-2.0,2018-12-21 06:00:48.000,2022-04-29 10:04:13.000000,2022-04-15 10:20:19,2498,176.0,1614,146.0,792.0,414.0,639.0,7876,\"Awesome pre-trained models toolkit based on PaddlePaddle.(300+ models including Image, Text, Audio and Video with Easy..\",61.0,33,True,2021-12-28 02:55:41.000,2.2.0,47.0,paddlehub,,,,['paddle'],773.0,768.0,https://pypi.org/project/paddlehub,2021-12-28 02:55:41.000,5.0,12241.0,12255.0,,,,,,,,1.0,566.0,,,,,,,,,,,,,,,,,,,,\n143,Pyro,pyro-ppl/pyro,probabilistics,,https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000,2022-05-05 13:25:47.000000,2022-05-03 12:07:44,2326,26.0,905,202.0,2138.0,202.0,757.0,7420,Deep universal probabilistic programming with Python and PyTorch.,125.0,33,True,2022-03-24 14:53:37.000,1.8.1,29.0,pyro-ppl,conda-forge/pyro-ppl,,,['pytorch'],757.0,701.0,https://pypi.org/project/pyro-ppl,2022-03-24 14:53:37.000,56.0,119221.0,119734.0,https://anaconda.org/conda-forge/pyro-ppl,2022-03-24 21:05:41.375,7185.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n144,tensorboardX,lanpa/tensorboardX,ml-experiments,,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19.000,2022-04-22 01:28:50.000000,2022-02-19 15:16:23,483,3.0,850,86.0,232.0,72.0,366.0,7328,\"tensorboard for pytorch (and chainer, mxnet, numpy, ...).\",70.0,33,True,2021-11-21 09:12:04.000,2.4.1,17.0,tensorboardX,conda-forge/tensorboardx,,,,19830.0,18954.0,https://pypi.org/project/tensorboardX,2022-02-22 14:24:47.000,876.0,1597546.0,1610547.0,https://anaconda.org/conda-forge/tensorboardx,2022-02-23 01:15:05.984,675758.0,,,,,2.0,348.0,,,,,,,,,,,,,,,,,,,,\n145,auto-sklearn,automl/auto-sklearn,hyperopt,,https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10.000,2022-05-05 14:09:43.000000,2022-04-24 13:29:16,2627,11.0,1151,211.0,593.0,113.0,762.0,6236,Automated Machine Learning with scikit-learn.,79.0,33,True,2022-05-04 09:41:35.000,0.14.7,41.0,auto-sklearn,conda-forge/auto-sklearn,,,['sklearn'],308.0,278.0,https://pypi.org/project/auto-sklearn,2022-05-04 09:41:35.000,30.0,37674.0,37986.0,https://anaconda.org/conda-forge/auto-sklearn,2022-02-18 18:13:43.553,4057.0,,,,,1.0,35.0,,,,,,,,,,,,,,,,,,,,\n146,Hyperopt,hyperopt/hyperopt,hyperopt,,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59.000,2022-05-02 11:17:15.000000,2021-11-29 10:21:36,1194,,965,127.0,254.0,373.0,234.0,6188,Distributed Asynchronous Hyperparameter Optimization in Python.,93.0,33,True,2021-11-17 10:05:44.000,0.2.7,13.0,hyperopt,conda-forge/hyperopt,,,,6817.0,6399.0,https://pypi.org/project/hyperopt,2021-11-17 10:05:44.000,418.0,2206561.0,2215479.0,https://anaconda.org/conda-forge/hyperopt,2022-04-30 16:43:00.797,392401.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n147,Datasette,simonw/datasette,others,,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000,2022-05-05 01:03:08.000000,2022-05-03 14:59:46,2005,101.0,409,97.0,318.0,357.0,976.0,6050,An open source multi-tool for exploring and publishing data.,63.0,33,True,2022-03-23 20:38:02.000,0.61.1,118.0,datasette,conda-forge/datasette,,,,809.0,653.0,https://pypi.org/project/datasette,2022-05-02 21:44:57.000,156.0,261745.0,262023.0,https://anaconda.org/conda-forge/datasette,2022-03-24 00:50:34.931,3624.0,,,,,1.0,36.0,,,,,,,,,datasette,,,,,,,,,,,\n148,imbalanced-learn,scikit-learn-contrib/imbalanced-learn,sklearn-utils,,https://github.com/scikit-learn-contrib/imbalanced-learn,https://github.com/scikit-learn-contrib/imbalanced-learn,MIT,2014-08-16 05:08:26.000,2022-05-03 12:48:09.000000,2022-03-18 17:20:24,767,2.0,1161,148.0,409.0,62.0,455.0,5835,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,63.0,33,True,2022-01-16 15:04:04.000,0.9.0,29.0,imbalanced-learn,conda-forge/imbalanced-learn,,,['sklearn'],10815.0,10572.0,https://pypi.org/project/imbalanced-learn,2022-01-11 18:09:58.000,243.0,2533305.0,2537029.0,https://anaconda.org/conda-forge/imbalanced-learn,2022-01-11 19:44:20.853,204871.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n149,H2O-3,h2oai/h2o-3,distributed-ml,,https://github.com/h2oai/h2o-3,https://github.com/h2oai/h2o-3,Apache-2.0,2014-03-03 16:08:07.000,2022-05-05 07:41:04.000000,2022-05-04 04:32:43,30853,266.0,1916,395.0,6119.0,68.0,,5810,\"H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM)..\",225.0,33,True,,,131.0,h2o,,,,,75.0,,https://pypi.org/project/h2o,2022-04-13 17:17:04.000,75.0,382542.0,382542.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n150,GluonCV,dmlc/gluon-cv,image,,https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21.000,2022-05-04 09:01:07.000000,2022-03-30 18:36:41,895,5.0,1145,154.0,942.0,60.0,755.0,5184,Gluon CV Toolkit.,115.0,33,True,2022-03-07 23:40:19.000,0.10.5,1376.0,gluoncv,,,,['mxnet'],783.0,724.0,https://pypi.org/project/gluoncv,2022-05-04 09:01:07.000,59.0,559325.0,559325.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n151,PML,KevinMusgrave/pytorch-metric-learning,pytorch-utils,,https://github.com/KevinMusgrave/pytorch-metric-learning,https://github.com/KevinMusgrave/pytorch-metric-learning,MIT,2019-10-23 17:20:35.000,2022-04-02 16:10:39.000000,2022-03-30 08:37:06,901,62.0,535,68.0,74.0,48.0,303.0,4390,\"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.\",24.0,33,True,2022-03-30 08:31:55.000,1.3.0,184.0,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,,['pytorch'],264.0,255.0,https://pypi.org/project/pytorch-metric-learning,2022-04-02 16:10:39.000,9.0,910650.0,910888.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2022-03-30 08:10:45.133,6674.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n152,Tesseract,madmaze/pytesseract,ocr,,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000,2022-05-02 19:53:55.000000,2022-05-02 19:53:53,479,16.0,594,104.0,128.0,14.0,283.0,4191,Python-tesseract is an optical character recognition (OCR) tool for python.,41.0,33,True,2022-03-14 19:28:46.000,0.3.10,26.0,pytesseract,conda-forge/pytesseract,,,,937.0,,https://pypi.org/project/pytesseract,2022-02-19 22:04:23.000,937.0,570974.0,585696.0,https://anaconda.org/conda-forge/pytesseract,2022-03-15 01:11:17.076,500564.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n153,Ignite,pytorch/ignite,ml-frameworks,,https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000,2022-05-05 13:21:27.000000,2022-05-04 17:36:56,1382,51.0,536,61.0,1499.0,136.0,926.0,3957,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,172.0,33,True,2022-05-04 20:27:48.000,0.4.9,893.0,pytorch-ignite,pytorch/ignite,,,['pytorch'],81.0,,https://pypi.org/project/pytorch-ignite,2022-05-05 00:16:38.000,81.0,138417.0,140255.0,https://anaconda.org/pytorch/ignite,2022-05-04 20:29:56.200,86418.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n154,BigDL,intel-analytics/BigDL,distributed-ml,,https://github.com/intel-analytics/BigDL,https://github.com/intel-analytics/BigDL,Apache-2.0,2016-08-29 07:59:50.000,2022-05-05 13:08:00.000000,2022-05-05 08:07:38,17010,367.0,988,242.0,3342.0,445.0,854.0,3911,Building Large-Scale AI Applications for Distributed Big Data.,140.0,33,True,2022-03-09 07:47:13.000,2.0.0,217.0,bigdl,,,,,41.0,36.0,https://pypi.org/project/bigdl,2022-05-05 13:08:00.000,1.0,11759.0,11759.0,,,,,,,,2.0,,,,,,,,,,,,,com.intel.analytics.bigdl:bigdl-SPARK_2.4,https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4,2021-04-20 01:33:14,4.0,,,,,\n155,Dedupe,dedupeio/dedupe,nlp,,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36.000,2022-05-05 03:01:05.000000,2022-05-04 17:50:45,2994,81.0,474,124.0,288.0,40.0,678.0,3355,\"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.\",63.0,33,True,2022-04-20 13:16:11.000,2.0.14,164.0,dedupe,conda-forge/dedupe,,,,270.0,222.0,https://pypi.org/project/dedupe,2022-04-20 13:16:11.000,48.0,317031.0,317597.0,https://anaconda.org/conda-forge/dedupe,2022-04-20 16:16:08.954,2834.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n156,ClearML,allegroai/clearml,ml-experiments,,https://github.com/allegroai/clearml,https://github.com/allegroai/clearml,Apache-2.0,2019-06-10 08:18:32.000,2022-05-05 13:44:22.000000,2022-05-05 10:15:49,1660,141.0,429,74.0,134.0,210.0,315.0,3148,\"ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management.\",49.0,33,True,2022-03-29 08:17:53.000,1.3.2,70.0,clearml,,allegroai/trains,,,243.0,237.0,https://pypi.org/project/clearml,2022-04-26 12:46:17.000,6.0,109663.0,110535.0,,,,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,30107.0,2.0,427.0,,,,,,,,,,,,,,,,,,,,\n157,torchtext,pytorch/text,nlp,,https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000,2022-05-05 11:33:55.000000,2022-05-04 16:26:45,1053,73.0,698,258.0,1059.0,321.0,388.0,3005,Data loaders and abstractions for text and NLP.,126.0,33,True,2022-03-10 18:31:55.000,0.12.0,20.0,torchtext,,,,['pytorch'],433.0,,https://pypi.org/project/torchtext,2022-03-10 16:48:11.000,433.0,173603.0,173603.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n158,MONAI,Project-MONAI/MONAI,medical-data,,https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000,2022-05-05 14:13:16.000000,2022-05-05 05:26:52,1883,163.0,571,84.0,1973.0,197.0,1431.0,2952,AI Toolkit for Healthcare Imaging.,94.0,33,True,2022-02-16 23:46:11.000,0.8.1,40.0,monai,conda-forge/monai,,,['pytorch'],303.0,287.0,https://pypi.org/project/monai,2022-02-16 23:13:47.000,16.0,49200.0,49287.0,https://anaconda.org/conda-forge/monai,2022-01-09 02:58:07.863,435.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n159,PyQtGraph,pyqtgraph/pyqtgraph,data-viz,,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21.000,2022-05-03 22:34:51.000000,2022-05-03 17:05:46,3209,66.0,915,146.0,1203.0,326.0,698.0,2798,Fast data visualization and GUI tools for scientific / engineering applications.,223.0,33,True,2022-03-04 18:36:49.000,pyqtgraph-0.12.4,17.0,pyqtgraph,conda-forge/pyqtgraph,,,,789.0,,https://pypi.org/project/pyqtgraph,2022-03-04 18:37:22.000,789.0,88872.0,92599.0,https://anaconda.org/conda-forge/pyqtgraph,2022-03-05 00:25:53.937,238569.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n160,GPyTorch,cornellius-gp/gpytorch,probabilistics,,https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000,2022-05-02 15:38:25.000000,2022-05-02 15:37:33,3623,49.0,405,51.0,753.0,267.0,824.0,2746,A highly efficient and modular implementation of Gaussian Processes in PyTorch.,93.0,33,True,2021-12-04 15:50:17.000,1.6.0,31.0,gpytorch,conda-forge/gpytorch,,,['pytorch'],592.0,562.0,https://pypi.org/project/gpytorch,2021-12-04 15:50:17.000,30.0,184402.0,185624.0,https://anaconda.org/conda-forge/gpytorch,2021-12-14 02:46:49.626,31786.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n161,Keras Tuner,keras-team/keras-tuner,hyperopt,,https://github.com/keras-team/keras-tuner,https://github.com/keras-team/keras-tuner,Apache-2.0,2019-06-06 22:38:21.000,2022-04-28 03:45:27.000000,2022-04-28 03:45:10,890,21.0,324,66.0,287.0,169.0,215.0,2527,Hyperparameter tuning for humans.,47.0,33,True,2022-03-25 05:32:04.000,1.1.2,14.0,keras-tuner,conda-forge/keras-tuner,,,['tensorflow'],1384.0,1346.0,https://pypi.org/project/keras-tuner,2022-03-25 00:39:10.000,38.0,657828.0,658063.0,https://anaconda.org/conda-forge/keras-tuner,2022-01-12 03:27:55.158,6120.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n162,BoTorch,pytorch/botorch,hyperopt,,https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000,2022-05-05 03:42:06.000000,2022-05-02 20:04:35,1171,97.0,256,48.0,878.0,59.0,201.0,2256,Bayesian optimization in PyTorch.,73.0,33,True,2022-04-21 23:56:42.000,0.6.4,24.0,botorch,conda-forge/botorch,,,['pytorch'],255.0,242.0,https://pypi.org/project/botorch,2022-04-21 23:56:42.000,13.0,172772.0,173893.0,https://anaconda.org/conda-forge/botorch,2022-04-22 01:48:14.629,23551.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n163,TF-Agents,tensorflow/agents,reinforcement-learning,,https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000,2022-05-04 01:32:50.000000,2022-05-03 18:26:50,2062,63.0,623,84.0,176.0,128.0,427.0,2255,\"TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.\",121.0,33,True,2022-04-20 01:05:45.000,0.12.1,32.0,tf-agents,,,,['tensorflow'],802.0,788.0,https://pypi.org/project/tf-agents,2022-04-20 01:05:45.000,14.0,219258.0,219258.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n164,ipyparallel,ipython/ipyparallel,distributed-ml,,https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,BSD-3-Clause,2015-04-09 07:43:55.000,2022-05-04 23:00:12.000000,2022-05-04 08:02:18,2619,67.0,885,113.0,379.0,53.0,274.0,2187,IPython Parallel: Interactive Parallel Computing in Python.,110.0,33,True,2022-02-07 14:22:40.000,8.2.0,38.0,ipyparallel,conda-forge/ipyparallel,,,['jupyter'],2191.0,1905.0,https://pypi.org/project/ipyparallel,2022-04-01 18:12:45.000,286.0,50820.0,58932.0,https://anaconda.org/conda-forge/ipyparallel,2022-04-01 20:58:50.658,592217.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n165,category_encoders,scikit-learn-contrib/category_encoders,sklearn-utils,,https://github.com/scikit-learn-contrib/category_encoders,https://github.com/scikit-learn-contrib/category_encoders,BSD-3-Clause,2015-11-29 19:32:37.000,2022-05-02 07:49:13.000000,2022-05-02 07:49:13,758,15.0,353,39.0,110.0,72.0,172.0,1935,A library of sklearn compatible categorical variable encoders.,52.0,33,True,2022-03-09 20:50:35.000,2.4.0,19.0,category_encoders,conda-forge/category_encoders,,,['sklearn'],3406.0,3383.0,https://pypi.org/project/category_encoders,2018-10-14 14:15:54.000,23.0,1910044.0,1912225.0,https://anaconda.org/conda-forge/category_encoders,2022-03-09 23:07:56.361,152691.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n166,Lifelines,CamDavidsonPilon/lifelines,medical-data,,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42.000,2022-04-08 17:00:56.119000,2022-03-16 01:20:24,2173,15.0,471,67.0,452.0,218.0,638.0,1857,Survival analysis in Python.,99.0,33,True,2022-03-15 15:20:56.000,0.27.0,161.0,lifelines,conda-forge/lifelines,,,,975.0,871.0,https://pypi.org/project/lifelines,2022-03-15 15:20:56.000,104.0,308935.0,311569.0,https://anaconda.org/conda-forge/lifelines,2022-04-08 17:00:56.119,187064.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n167,torchaudio,pytorch/audio,audio,,https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000,2022-05-05 14:45:44.000000,2022-04-28 18:15:11,1412,102.0,397,63.0,1767.0,156.0,462.0,1654,\"Data manipulation and transformation for audio signal processing, powered by PyTorch.\",153.0,33,True,2022-03-10 17:28:47.000,0.11.0,20.0,torchaudio,,,,['pytorch'],122.0,,https://pypi.org/project/torchaudio,2022-03-10 16:47:04.000,122.0,372318.0,372318.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n168,ipyleaflet,jupyter-widgets/ipyleaflet,geospatial-data,,https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10.000,2022-05-04 23:59:18.000000,2022-05-02 12:23:47,1068,75.0,329,63.0,500.0,190.0,301.0,1251,A Jupyter - Leaflet.js bridge.,78.0,33,True,2022-04-14 10:18:00.304,0.16.0,73.0,ipyleaflet,conda-forge/ipyleaflet,,,['jupyter'],1779.0,1668.0,https://pypi.org/project/ipyleaflet,2022-04-14 10:17:10.000,109.0,91453.0,150621.0,https://anaconda.org/conda-forge/ipyleaflet,2022-04-14 12:16:11.267,812134.0,,,,,2.0,,,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2022-04-14 10:18:00.304,2.0,47889.0,,,,,,,,,,,,,\n169,PyVista,pyvista/pyvista,data-viz,,https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000,2022-05-05 08:17:48.000000,2022-05-04 20:54:59,2686,179.0,240,29.0,1342.0,228.0,558.0,1242,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,87.0,33,True,2022-04-18 15:57:00.000,0.34.1,58.0,pyvista,conda-forge/pyvista,,,['jupyter'],832.0,730.0,https://pypi.org/project/pyvista,2022-04-18 15:57:00.000,102.0,56728.0,61239.0,https://anaconda.org/conda-forge/pyvista,2022-04-15 21:10:01.700,162025.0,,,,,2.0,601.0,,,,,,,,,,,,,,,,,,,,\n170,FiftyOne,voxel51/fiftyone,data-viz,,https://github.com/voxel51/fiftyone,https://github.com/voxel51/fiftyone,Apache-2.0,2020-04-22 13:43:28.000,2022-05-05 14:43:32.000000,2022-05-04 20:54:59,12912,418.0,168,24.0,999.0,234.0,511.0,1239,\"Visualize, create, and debug image and video datasets and model predictions.\",36.0,33,True,2022-04-26 23:45:01.000,0.15.1,71.0,fiftyone,,,,\"['tensorflow', 'pytorch', 'jupyter']\",104.0,103.0,https://pypi.org/project/fiftyone,2022-04-26 23:45:01.000,1.0,27600.0,27600.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n171,arviz,arviz-devs/arviz,interpretability,,https://github.com/arviz-devs/arviz,https://github.com/arviz-devs/arviz,Apache-2.0,2015-07-29 11:51:10.000,2022-05-05 14:41:45.000000,2022-05-04 22:21:16,1377,30.0,272,44.0,1299.0,141.0,577.0,1206,Exploratory analysis of Bayesian models with Python.,119.0,33,True,2022-03-23 19:26:45.000,0.12.0,26.0,arviz,conda-forge/arviz,,,,2331.0,2235.0,https://pypi.org/project/arviz,2022-03-23 19:26:45.000,96.0,386246.0,405563.0,https://anaconda.org/conda-forge/arviz,2022-03-23 23:59:15.657,695340.0,,,,,1.0,113.0,,,,,,,,,,,,,,,,,,,,\n172,Wand,emcconville/wand,image,,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000,2022-03-14 01:34:17.000000,2022-03-14 01:34:08,1747,3.0,192,29.0,190.0,16.0,354.0,1169,The ctypes-based simple ImageMagick binding for Python.,97.0,33,True,2021-08-17 02:43:04.000,0.6.7,50.0,wand,conda-forge/wand,,,,11495.0,10816.0,https://pypi.org/project/wand,2021-08-17 02:13:00.000,679.0,442019.0,442513.0,https://anaconda.org/conda-forge/wand,2020-11-30 13:27:29.373,10559.0,,,,,2.0,7356.0,,,,,,,,,,,,,,,,,,,,\n173,Hail,hail-is/hail,medical-data,,https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000,2022-05-04 19:01:46.000000,2022-05-03 21:14:39,9787,347.0,209,58.0,9812.0,55.0,1973.0,794,Scalable genomic data analysis.,79.0,33,True,2022-04-28 17:49:34.000,0.2.94,114.0,hail,,,,['spark'],70.0,62.0,https://pypi.org/project/hail,2022-04-28 17:49:57.000,8.0,32751.0,32751.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n174,tensorflow-upstream,ROCmSoftwarePlatform/tensorflow-upstream,ml-frameworks,,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,Apache-2.0,2018-04-09 21:24:50.000,2022-05-04 15:19:57.000000,2022-05-04 15:08:38,132047,3886.0,68,49.0,1348.0,59.0,270.0,593,TensorFlow ROCm port.,4011.0,33,True,2022-04-11 16:51:04.000,2.8.1,77.0,tensorflow-rocm,,,,['tensorflow'],5.0,,https://pypi.org/project/tensorflow-rocm,2022-04-11 16:51:04.000,5.0,1606.0,1606.0,,,,,,,,2.0,20.0,,,,,,,,,,,,,,,,,,,,\n175,zipline,quantopian/zipline,financial-data,,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29.000,2022-01-20 12:10:43.000000,2020-10-14 16:36:49,6226,,4388,1009.0,1864.0,353.0,651.0,15117,\"Zipline, a Pythonic Algorithmic Trading Library.\",154.0,32,False,2020-10-05 15:46:20.429,1.4.1,30.0,zipline,conda-forge/zipline,,,,939.0,854.0,https://pypi.org/project/zipline,2020-07-23 02:19:41.000,85.0,2161.0,2444.0,https://anaconda.org/conda-forge/zipline,2020-10-05 18:38:58.729,5670.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n176,Turi Create,apple/turicreate,ml-frameworks,,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04.000,2021-11-29 19:55:31.000000,2021-11-29 19:55:31,1571,,1111,359.0,1679.0,484.0,1287.0,10680,Turi Create simplifies the development of custom machine learning models.,85.0,32,True,2020-09-30 22:51:40.000,6.4.1,31.0,turicreate,,,,,324.0,305.0,https://pypi.org/project/turicreate,2020-09-30 22:51:40.000,19.0,27805.0,27912.0,,,,,,,,3.0,5672.0,,,,,,,,,,,,,,,,,,,,\n177,Albumentations,albumentations-team/albumentations,image,,https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000,2022-05-02 09:16:00.000000,2022-02-13 11:37:49,699,1.0,1286,124.0,561.0,245.0,349.0,10131,Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation:..,100.0,32,True,2021-10-04 09:30:33.000,1.1.0,49.0,albumentations,conda-forge/albumentations,,,['pytorch'],7857.0,7678.0,https://pypi.org/project/albumentations,2021-10-04 09:30:33.000,179.0,394383.0,395397.0,https://anaconda.org/conda-forge/albumentations,2021-07-15 13:53:18.638,35500.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n178,Annoy,spotify/annoy,nn-search,,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40.000,2022-04-23 18:38:16.066000,2022-03-25 13:02:03,836,2.0,995,327.0,248.0,38.0,302.0,9834,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,81.0,32,True,2020-09-18 16:07:59.000,1.17.0,43.0,annoy,conda-forge/python-annoy,,,,2290.0,2055.0,https://pypi.org/project/annoy,2020-09-18 16:07:59.000,235.0,1180834.0,1184181.0,https://anaconda.org/conda-forge/python-annoy,2022-04-23 18:38:16.066,227635.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n179,TFlearn,tflearn/tflearn,ml-frameworks,,https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,MIT,2016-03-31 12:05:53.000,2021-01-25 09:41:59.000000,2020-11-30 04:34:51,613,,2429,466.0,255.0,563.0,362.0,9588,Deep learning library featuring a higher-level API for TensorFlow.,128.0,32,False,2020-11-11 19:26:11.000,0.5.0,8.0,tflearn,,,,['tensorflow'],4359.0,3871.0,https://pypi.org/project/tflearn,2020-11-11 19:13:47.000,488.0,17547.0,17547.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n180,wordcloud,amueller/word_cloud,data-viz,,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59.000,2022-04-26 15:13:58.000000,2022-04-26 15:13:58,550,1.0,2154,216.0,209.0,110.0,367.0,8745,A little word cloud generator in Python.,65.0,32,True,2020-11-11 21:41:02.000,1.8.1,16.0,wordcloud,conda-forge/wordcloud,,,,710.0,,https://pypi.org/project/wordcloud,2020-11-11 21:41:02.000,710.0,670200.0,674169.0,https://anaconda.org/conda-forge/wordcloud,2021-11-15 20:34:05.364,273874.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n181,fuzzywuzzy,seatgeek/fuzzywuzzy,nlp,,https://github.com/seatgeek/fuzzywuzzy,https://github.com/seatgeek/fuzzywuzzy,GPL-2.0,2011-07-08 19:32:34.000,2021-11-02 23:56:01.000000,2021-09-09 20:54:41,384,,859,269.0,145.0,103.0,103.0,8661,Fuzzy String Matching in Python.,70.0,32,False,2020-02-13 22:14:12.000,0.18.0,27.0,fuzzywuzzy,conda-forge/fuzzywuzzy,,,,14426.0,12493.0,https://pypi.org/project/fuzzywuzzy,2020-02-13 21:06:25.000,1933.0,6084531.0,6089682.0,https://anaconda.org/conda-forge/fuzzywuzzy,2020-11-18 12:59:01.409,360595.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n182,TPOT,EpistasisLab/tpot,hyperopt,,https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40.000,2022-03-03 16:44:31.000000,2021-01-06 15:17:46,2368,,1468,296.0,404.0,249.0,603.0,8553,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,108.0,32,False,2021-01-06 15:20:08.000,0.11.7,60.0,tpot,conda-forge/tpot,,,['sklearn'],1468.0,1410.0,https://pypi.org/project/tpot,2021-01-06 15:20:08.000,58.0,31034.0,33220.0,https://anaconda.org/conda-forge/tpot,2021-03-05 04:04:38.005,148697.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n183,pretrainedmodels,Cadene/pretrained-models.pytorch,pytorch-utils,,https://github.com/Cadene/pretrained-models.pytorch,https://github.com/Cadene/pretrained-models.pytorch,BSD-3-Clause,2017-04-09 15:54:23.000,2022-04-22 09:08:45.000000,2020-04-16 08:02:22,154,,1755,227.0,46.0,92.0,94.0,8499,\"Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.\",22.0,32,False,2018-10-29 08:18:45.000,0.7.4,16.0,pretrainedmodels,conda-forge/pretrainedmodels,,,['pytorch'],1639.0,1559.0,https://pypi.org/project/pretrainedmodels,2018-10-29 08:18:45.000,80.0,87203.0,87432.0,https://anaconda.org/conda-forge/pretrainedmodels,2021-04-30 19:04:30.054,5281.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n184,Qlib,microsoft/qlib,financial-data,,https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000,2022-05-05 13:27:24.000000,2022-05-05 13:27:24,1767,95.0,1501,226.0,555.0,162.0,381.0,8458,\"Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research,..\",93.0,32,True,2022-04-24 16:11:44.000,0.8.5,26.0,pyqlib,,,,['pytorch'],15.0,15.0,https://pypi.org/project/pyqlib,2022-04-24 16:11:44.000,,1904.0,1918.0,,,,,,,,1.0,285.0,,,,,,,,,,,,,,,,,,,,\n185,Ludwig,ludwig-ai/ludwig,ml-frameworks,,https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000,2022-05-04 23:48:08.000000,2022-04-30 21:33:44,2554,173.0,973,184.0,1266.0,185.0,531.0,8219,Data-centric declarative deep learning framework.,117.0,32,True,2022-02-01 07:49:55.000,0.4.1,22.0,ludwig,,,,['tensorflow'],119.0,111.0,https://pypi.org/project/ludwig,2022-03-08 00:38:21.000,8.0,2939.0,2939.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n186,DeepSpeed,microsoft/DeepSpeed,distributed-ml,,https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,MIT,2020-01-23 18:35:18.000,2022-05-04 19:47:39.000000,2022-05-03 18:28:45,943,83.0,784,125.0,1012.0,468.0,430.0,6691,\"DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and..\",104.0,32,True,2022-04-27 16:21:36.000,0.6.3,45.0,deepspeed,,deepspeed/deepspeed,,['pytorch'],246.0,236.0,https://pypi.org/project/deepspeed,2022-04-27 16:21:36.000,10.0,175317.0,175807.0,,,,https://hub.docker.com/r/deepspeed/deepspeed,2022-03-09 21:34:10.973494,3.0,13726.0,2.0,,,,,,,,,,,,,,,,,,,,,\n187,tensorpack,tensorpack/tensorpack,ml-frameworks,,https://github.com/tensorpack/tensorpack,https://github.com/tensorpack/tensorpack,Apache-2.0,2015-12-25 23:08:44.000,2022-05-04 12:19:58.000000,2022-05-04 12:19:51,2939,2.0,1808,202.0,205.0,13.0,1333.0,6196,\"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.\",58.0,32,True,2020-04-24 19:01:06.000,0.10.1,37.0,tensorpack,conda-forge/tensorpack,,,['tensorflow'],1054.0,1008.0,https://pypi.org/project/tensorpack,2021-01-22 08:44:03.000,46.0,20970.0,21098.0,https://anaconda.org/conda-forge/tensorpack,2022-02-06 19:35:57.930,882.0,,,,,3.0,131.0,,,,,,,,,,,,,,,,,,,,\n188,featuretools,alteryx/featuretools,hyperopt,,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17.000,2022-05-04 23:56:20.000000,2022-05-04 23:56:20,1006,99.0,807,156.0,1268.0,148.0,630.0,6116,An open source python library for automated feature engineering.,64.0,32,True,2022-04-27 17:07:45.000,1.9.0,100.0,featuretools,conda-forge/featuretools,,,,63.0,,https://pypi.org/project/featuretools,2022-04-27 17:07:45.000,63.0,132575.0,134600.0,https://anaconda.org/conda-forge/featuretools,2022-04-27 22:39:32.834,83039.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n189,Pydub,jiaaro/pydub,audio,,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38.000,2022-04-24 08:05:00.000000,2021-06-08 14:06:40,742,,804,125.0,184.0,214.0,258.0,6098,Manipulate audio with a simple and easy high level interface.,91.0,32,True,2021-03-10 02:10:41.000,0.25.1,68.0,pydub,conda-forge/pydub,,,,12951.0,12050.0,https://pypi.org/project/pydub,2021-03-10 02:09:53.000,901.0,1880466.0,1881014.0,https://anaconda.org/conda-forge/pydub,2021-03-13 05:16:50.142,22503.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n190,Autograd,HIPS/autograd,others,,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23.000,2022-04-08 08:55:43.000000,2022-04-08 08:53:31,1377,1.0,815,219.0,207.0,164.0,225.0,5780,Efficiently computes derivatives of numpy code.,51.0,32,True,2017-08-24 17:00:41.000,1.1.13,25.0,autograd,conda-forge/autograd,,,,3612.0,3337.0,https://pypi.org/project/autograd,2022-04-08 08:55:43.000,275.0,1117165.0,1120196.0,https://anaconda.org/conda-forge/autograd,2019-07-25 18:29:55.493,209183.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n191,speechbrain,speechbrain/speechbrain,audio,,https://github.com/speechbrain/speechbrain,https://github.com/speechbrain/speechbrain,Apache-2.0,2020-04-28 17:48:45.000,2022-05-05 07:52:27.000000,2022-05-03 11:11:21,6033,54.0,751,109.0,684.0,137.0,517.0,4001,A PyTorch-based Speech Toolkit.,154.0,32,True,2021-12-20 04:22:27.000,0.5.11,10.0,speechbrain,,,,['pytorch'],171.0,169.0,https://pypi.org/project/speechbrain,2021-12-20 04:23:25.000,2.0,8189.0,8189.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n192,mlpack,mlpack/mlpack,ml-frameworks,,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59.000,2022-05-03 21:21:53.000000,2022-05-01 17:24:24,27883,303.0,1403,178.0,1770.0,103.0,1386.0,3987,mlpack: a scalable C++ machine learning library --.,287.0,32,True,2020-10-28 18:28:47.000,3.4.2,40.0,mlpack,conda-forge/mlpack,,,,1.0,,https://pypi.org/project/mlpack,2020-10-28 18:28:47.000,1.0,287.0,2446.0,https://anaconda.org/conda-forge/mlpack,2021-11-09 18:05:21.719,99344.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n193,plotnine,has2k1/plotnine,data-viz,,https://github.com/has2k1/plotnine,https://github.com/has2k1/plotnine,MIT,2017-04-24 19:00:44.000,2022-05-05 13:32:11.000000,2022-05-05 12:51:08,1792,64.0,164,67.0,102.0,63.0,425.0,3068,A grammar of graphics for Python.,94.0,32,True,2021-03-25 12:57:10.000,0.8.0,11.0,plotnine,conda-forge/plotnine,,,,203.0,,https://pypi.org/project/plotnine,2021-03-25 10:49:20.000,203.0,254753.0,257470.0,https://anaconda.org/conda-forge/plotnine,2021-03-25 12:31:04.423,163045.0,,,,,2.0,,,1.0,,,,,,,,,,,,,,,,,,\n194,Catalyst,catalyst-team/catalyst,ml-experiments,,https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13.000,2022-04-29 04:46:04.000000,2022-04-29 04:19:24,1698,16.0,361,46.0,1073.0,2.0,331.0,2915,Accelerated deep learning R&D.,103.0,32,True,2022-04-29 04:45:11.000,22.04,108.0,catalyst,,,,['pytorch'],567.0,538.0,https://pypi.org/project/catalyst,2022-04-29 04:46:04.000,29.0,907388.0,907388.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n195,VisPy,vispy/vispy,data-viz,,https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22.000,2022-05-03 11:55:06.000000,2022-05-03 11:55:03,6931,15.0,587,124.0,1031.0,280.0,1040.0,2862,High-performance interactive 2D/3D data visualization library.,172.0,32,True,2022-04-18 18:40:13.000,0.10.0,30.0,vispy,conda-forge/vispy,,,['jupyter'],828.0,732.0,https://pypi.org/project/vispy,2022-04-18 19:26:41.000,96.0,52961.0,56973.0,https://anaconda.org/conda-forge/vispy,2022-04-18 23:44:31.256,219349.0,,,,,2.0,,,,vispy,https://www.npmjs.com/package/vispy,2020-03-15 14:39:41.516,,24.0,,,,,,,,,,,,,\n196,datashader,holoviz/datashader,data-viz,,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000,2022-05-05 11:46:56.000000,2022-05-04 21:48:22,1342,42.0,351,90.0,581.0,127.0,371.0,2766,Quickly and accurately render even the largest data.,47.0,32,True,2022-04-25 21:30:45.000,0.14.0,26.0,datashader,conda-forge/datashader,,,,1163.0,1068.0,https://pypi.org/project/datashader,2022-05-04 22:27:47.000,95.0,43567.0,49004.0,https://anaconda.org/conda-forge/datashader,2022-04-26 20:02:47.634,293649.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n197,Core ML Tools,apple/coremltools,model-serialisation,,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000,2022-05-04 23:39:08.000000,2022-04-29 18:38:13,930,19.0,400,99.0,570.0,332.0,663.0,2644,\"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.\",122.0,32,True,2022-02-22 22:38:34.000,5.2.0,36.0,coremltools,conda-forge/coremltools,,,,1033.0,889.0,https://pypi.org/project/coremltools,2022-02-22 22:38:34.000,144.0,156948.0,158583.0,https://anaconda.org/conda-forge/coremltools,2021-10-15 05:58:32.248,29651.0,,,,,1.0,4222.0,,,,,,,,,,,,,,,,,,,,\n198,mrjob,Yelp/mrjob,data-pipelines,,https://github.com/Yelp/mrjob,https://github.com/Yelp/mrjob,Apache-2.0,2010-10-13 18:35:21.000,2022-03-23 19:55:26.000000,2020-11-16 22:20:52,8622,,600,111.0,919.0,205.0,1093.0,2579,Run MapReduce jobs on Hadoop or Amazon Web Services.,142.0,32,False,2020-09-17 22:26:01.000,0.7.4,62.0,mrjob,conda-forge/mrjob,,,,1090.0,977.0,https://pypi.org/project/mrjob,2020-09-17 22:26:01.000,113.0,85816.0,92477.0,https://anaconda.org/conda-forge/mrjob,2022-02-06 18:33:13.189,452948.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n199,hmmlearn,hmmlearn/hmmlearn,probabilistics,,https://github.com/hmmlearn/hmmlearn,https://github.com/hmmlearn/hmmlearn,BSD-3-Clause,2014-03-23 10:33:09.000,2022-04-29 23:52:28.000000,2022-04-23 12:30:17,411,9.0,696,112.0,86.0,54.0,328.0,2482,\"Hidden Markov Models in Python, with scikit-learn like API.\",39.0,32,True,2022-02-10 14:13:50.000,0.2.7,10.0,hmmlearn,conda-forge/hmmlearn,,,['sklearn'],1389.0,1262.0,https://pypi.org/project/hmmlearn,2022-02-10 14:13:50.000,127.0,457756.0,460516.0,https://anaconda.org/conda-forge/hmmlearn,2022-02-12 03:10:38.209,115950.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n200,accelerate,huggingface/accelerate,pytorch-utils,,https://github.com/huggingface/accelerate,https://github.com/huggingface/accelerate,Apache-2.0,2020-10-30 13:27:12.000,2022-05-05 15:00:54.000000,2022-05-05 14:48:07,285,66.0,164,51.0,140.0,71.0,134.0,2399,\"A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision.\",43.0,32,True,2022-04-29 13:16:42.000,0.7.1,13.0,accelerate,conda-forge/accelerate,,,['pytorch'],493.0,480.0,https://pypi.org/project/accelerate,2022-04-29 13:14:12.000,13.0,965440.0,965652.0,https://anaconda.org/conda-forge/accelerate,2022-05-04 19:18:57.606,1487.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n201,filterpy,rlabbe/filterpy,probabilistics,,https://github.com/rlabbe/filterpy,https://github.com/rlabbe/filterpy,MIT,2014-07-15 02:15:19.000,2022-04-18 14:24:32.000000,2021-05-04 18:33:52,542,,507,73.0,69.0,55.0,154.0,2229,\"Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman..\",36.0,32,True,2021-12-15 15:49:27.374,0.0.13,49.0,filterpy,conda-forge/filterpy,,,,1523.0,1391.0,https://pypi.org/project/filterpy,2018-10-10 22:38:24.000,132.0,685107.0,686562.0,https://anaconda.org/conda-forge/filterpy,2020-05-05 21:13:59.073,85871.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n202,Ax,facebook/Ax,hyperopt,,https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000,2022-05-05 06:47:28.000000,2022-05-04 21:48:57,1846,175.0,196,70.0,559.0,50.0,368.0,1797,Adaptive Experimentation Platform.,114.0,32,True,2022-04-26 19:55:48.000,0.2.5.1,27.0,ax-platform,conda-forge/ax-platform,,,['pytorch'],283.0,268.0,https://pypi.org/project/ax-platform,2022-04-26 21:57:06.000,15.0,136156.0,136256.0,https://anaconda.org/conda-forge/ax-platform,2022-04-27 22:01:59.917,1102.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n203,GPflow,GPflow/GPflow,probabilistics,,https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000,2022-05-05 13:03:17.000000,2022-05-04 08:34:08,2341,72.0,422,76.0,1116.0,126.0,641.0,1620,Gaussian processes in TensorFlow.,78.0,32,True,2022-04-28 12:21:42.000,2.5.1,36.0,gpflow,conda-forge/gpflow,,,['tensorflow'],384.0,355.0,https://pypi.org/project/gpflow,2022-04-28 12:21:42.000,29.0,15125.0,15356.0,https://anaconda.org/conda-forge/gpflow,2022-03-01 16:58:07.317,11100.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n204,TF Model Optimization,tensorflow/model-optimization,tensorflow-utils,,https://github.com/tensorflow/model-optimization,https://github.com/tensorflow/model-optimization,Apache-2.0,2018-10-31 20:34:28.000,2022-04-14 15:39:29.000000,2022-04-06 08:30:34,735,17.0,276,122.0,679.0,162.0,151.0,1236,\"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.\",66.0,32,True,2022-03-18 17:04:59.000,0.7.2,26.0,tensorflow-model-optimization,,,,['tensorflow'],1780.0,1761.0,https://pypi.org/project/tensorflow-model-optimization,2022-03-18 16:49:50.000,19.0,156452.0,156452.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n205,pmdarima,alkaline-ml/pmdarima,time-series-data,,https://github.com/alkaline-ml/pmdarima,https://github.com/alkaline-ml/pmdarima,MIT,2017-03-30 14:58:30.000,2022-04-25 15:29:23.000000,2022-04-25 15:22:20,1057,11.0,204,35.0,223.0,28.0,255.0,1162,\"A statistical library designed to fill the void in Pythons time series analysis capabilities, including the equivalent..\",20.0,32,True,2022-02-22 11:10:16.000,1.8.5,37.0,pmdarima,conda-forge/pmdarima,,,,2086.0,2035.0,https://pypi.org/project/pmdarima,2022-02-22 11:10:16.000,51.0,1179209.0,1181109.0,https://anaconda.org/conda-forge/pmdarima,2022-02-24 09:21:50.856,36112.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n206,petl,petl-developers/petl,data-pipelines,,https://github.com/petl-developers/petl,https://github.com/petl-developers/petl,MIT,2011-08-19 09:51:03.000,2022-04-26 23:43:23.754000,2022-04-25 16:19:11,1253,55.0,173,48.0,181.0,76.0,366.0,1000,Python Extract Transform and Load Tables of Data.,54.0,32,True,2022-04-25 16:22:37.000,1.7.9,84.0,petl,conda-forge/petl,,http://petl.readthedocs.org,,775.0,701.0,https://pypi.org/project/petl,2022-04-25 16:22:37.000,74.0,170996.0,172074.0,https://anaconda.org/conda-forge/petl,2022-04-26 23:43:23.754,73352.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n207,TensorFlow Text,tensorflow/text,nlp,,https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000,2022-05-05 06:37:18.000000,2022-05-05 06:37:13,676,68.0,204,40.0,756.0,78.0,127.0,934,Making text a first-class citizen in TensorFlow.,84.0,32,True,2022-04-21 02:58:05.000,2.8.2,49.0,tensorflow-text,,,,['tensorflow'],1836.0,1760.0,https://pypi.org/project/tensorflow-text,2022-04-21 00:17:57.000,76.0,2660707.0,2660707.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n208,TensorFlow Transform,tensorflow/transform,tensorflow-utils,,https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53.000,2022-05-04 08:40:04.000000,2022-04-12 23:13:32,782,30.0,182,59.0,83.0,25.0,153.0,916,Input pipeline framework.,27.0,32,True,2022-03-30 18:58:31.000,1.6.1,48.0,tensorflow-transform,,,,['tensorflow'],904.0,848.0,https://pypi.org/project/tensorflow-transform,2022-03-30 19:17:57.000,56.0,3235301.0,3235301.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n209,DIPY,dipy/dipy,medical-data,,https://github.com/dipy/dipy,https://github.com/dipy/dipy,BSD-3-Clause,2010-02-06 11:43:08.000,2022-05-05 13:43:24.000000,2022-04-28 22:18:35,12165,255.0,337,50.0,1752.0,123.0,658.0,511,\"DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal..\",130.0,32,True,2021-05-06 04:40:48.000,1.4.1,24.0,dipy,conda-forge/dipy,,,,632.0,552.0,https://pypi.org/project/dipy,2022-03-11 20:19:02.000,80.0,13091.0,17146.0,https://anaconda.org/conda-forge/dipy,2022-03-15 06:15:21.138,292029.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n210,datalad,datalad/datalad,others,,https://github.com/datalad/datalad,https://github.com/datalad/datalad,MIT,2013-11-01 19:40:08.000,2022-05-05 13:28:52.000000,2022-05-05 10:10:26,15626,475.0,89,26.0,3114.0,475.0,3016.0,309,\"Keep code, data, containers under control with git and git-annex.\",46.0,32,True,2022-04-21 12:58:50.000,0.16.2,81.0,datalad,conda-forge/datalad,,,,52.0,,https://pypi.org/project/datalad,2022-04-21 12:59:13.000,52.0,6822.0,10797.0,https://anaconda.org/conda-forge/datalad,2022-04-19 18:35:34.864,198771.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n211,CNTK,microsoft/CNTK,ml-frameworks,,https://github.com/microsoft/CNTK,https://github.com/microsoft/CNTK,MIT,2015-11-26 09:52:06.000,2021-08-27 04:46:43.000000,2020-03-31 15:55:14,16116,,4402,1285.0,552.0,836.0,2530.0,17155,\"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.\",271.0,31,False,2019-04-26 14:13:32.000,2.7,32.0,cntk,,,,,18.0,,https://pypi.org/project/cntk,2020-12-09 22:21:57.000,18.0,1121.0,1304.0,,,,,,,,3.0,13953.0,,,,,,,,,,,,,,,,,,,,\n212,Lime,marcotcr/lime,interpretability,,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10.000,2022-01-14 13:42:13.000000,2021-07-29 23:17:25,531,,1544,273.0,105.0,37.0,526.0,9755,Lime: Explaining the predictions of any machine learning classifier.,61.0,31,True,2020-04-03 22:05:03.000,0.2.0.0,38.0,lime,conda-forge/lime,,,,2334.0,2227.0,https://pypi.org/project/lime,2020-06-26 21:38:15.000,107.0,362957.0,364458.0,https://anaconda.org/conda-forge/lime,2020-06-28 01:02:41.538,97566.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n213,Sonnet,deepmind/sonnet,ml-frameworks,,https://github.com/deepmind/sonnet,https://github.com/deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35.000,2022-04-22 01:15:33.000000,2022-03-07 21:16:14,848,1.0,1281,433.0,67.0,23.0,151.0,9275,TensorFlow-based neural network library.,53.0,31,True,2020-03-27 10:36:19.000,2.0.0,27.0,dm-sonnet,conda-forge/sonnet,,,['tensorflow'],873.0,821.0,https://pypi.org/project/dm-sonnet,2020-03-27 10:36:10.000,52.0,22224.0,22666.0,https://anaconda.org/conda-forge/sonnet,2020-11-14 18:13:23.843,13272.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n214,carla,carla-simulator/carla,others,,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000,2022-05-05 10:13:32.000000,2021-11-19 11:13:47,5439,,2301,236.0,1155.0,611.0,3304.0,7678,Open-source simulator for autonomous driving research.,138.0,31,True,2021-11-17 08:28:27.000,0.9.13,24.0,carla,,,,,169.0,166.0,https://pypi.org/project/carla,2021-11-17 08:28:27.000,3.0,11348.0,11348.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n215,PaddleDetection,PaddlePaddle/PaddleDetection,image,,https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000,2022-05-05 12:37:55.000000,2022-04-29 12:03:11,1573,187.0,1904,168.0,2535.0,676.0,2736.0,7512,\"Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object..\",94.0,31,True,2022-04-24 05:05:40.000,2.4.0,7.0,paddledet,,,,['paddle'],15.0,15.0,https://pypi.org/project/paddledet,2022-04-24 05:05:40.000,,368.0,368.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n216,SpeechRecognition,Uberi/speech_recognition,audio,,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54.000,2022-04-20 09:46:34.000000,2022-03-27 02:53:19,379,5.0,2004,284.0,101.0,234.0,281.0,6238,\"Speech recognition module for Python, supporting several engines and APIs, online and offline.\",43.0,31,True,2017-12-05 14:05:14.000,3.8.1,52.0,SpeechRecognition,conda-forge/speechrecognition,,,,695.0,,https://pypi.org/project/SpeechRecognition,2017-12-05 13:58:29.000,695.0,264406.0,266360.0,https://anaconda.org/conda-forge/speechrecognition,2021-12-13 09:59:53.408,134877.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n217,Bayesian Optimization,fmfn/BayesianOptimization,hyperopt,,https://github.com/fmfn/BayesianOptimization,https://github.com/fmfn/BayesianOptimization,MIT,2014-06-06 08:18:56.000,2022-04-14 10:03:51.000000,2020-12-19 01:11:23,199,,1249,148.0,82.0,40.0,213.0,5945,A Python implementation of global optimization with gaussian processes.,27.0,31,False,2020-05-16 16:03:51.000,1.2.0,8.0,bayesian-optimization,,,,,1256.0,1191.0,https://pypi.org/project/bayesian-optimization,2020-05-16 15:56:09.000,65.0,170340.0,170341.0,,,,,,,,2.0,82.0,,,,,,,,,,,,,,,,,,,,\n218,DeepPavlov,deepmipt/DeepPavlov,nlp,,https://github.com/deepmipt/DeepPavlov,https://github.com/deepmipt/DeepPavlov,Apache-2.0,2017-11-17 14:35:29.000,2022-05-05 12:48:42.000000,2022-04-27 13:58:25,2614,3.0,1029,212.0,947.0,80.0,549.0,5706,An open source library for deep learning end-to-end dialog systems and chatbots.,67.0,31,True,2022-04-27 14:19:20.000,0.17.3,49.0,deeppavlov,,,,['tensorflow'],270.0,264.0,https://pypi.org/project/deeppavlov,2022-04-27 14:11:20.000,6.0,11250.0,11250.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n219,OpenNMT,OpenNMT/OpenNMT-py,nlp,,https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000,2022-04-27 14:46:46.000000,2022-02-09 16:15:17,2589,1.0,2034,163.0,858.0,120.0,1213.0,5583,Open Source Neural Machine Translation in PyTorch.,174.0,31,True,2021-09-14 08:49:23.000,2.2.0,32.0,OpenNMT-py,,,,['pytorch'],147.0,139.0,https://pypi.org/project/OpenNMT-py,2021-09-14 08:49:23.000,8.0,48270.0,48270.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n220,Metaflow,Netflix/metaflow,ml-experiments,,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000,2022-05-05 10:02:57.000000,2022-05-03 19:38:35,498,32.0,504,236.0,636.0,217.0,225.0,5581,Build and manage real-life data science projects with ease!.,52.0,31,True,2022-04-25 19:45:51.000,2.6.0,45.0,metaflow,conda-forge/metaflow,,,,289.0,281.0,https://pypi.org/project/metaflow,2022-04-25 21:53:58.000,8.0,49603.0,50859.0,https://anaconda.org/conda-forge/metaflow,2022-04-26 22:47:28.117,36438.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n221,einops,arogozhnikov/einops,ml-frameworks,,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08.000,2022-04-11 06:45:39.000000,2022-04-01 05:47:58,397,10.0,212,54.0,57.0,33.0,75.0,4964,\"Deep learning operations reinvented (for pytorch, tensorflow, jax and others).\",17.0,31,True,2022-03-04 09:32:08.000,0.4.1,7.0,einops,conda-forge/einops,,,,2846.0,2646.0,https://pypi.org/project/einops,2022-03-04 09:32:08.000,200.0,1688297.0,1688738.0,https://anaconda.org/conda-forge/einops,2022-03-04 10:57:10.315,14130.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n222,InterpretML,interpretml/interpret,interpretability,,https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000,2022-05-03 18:52:10.000000,2022-04-30 07:24:29,1910,18.0,578,146.0,47.0,90.0,194.0,4702,Fit interpretable models. Explain blackbox machine learning.,28.0,31,True,2021-09-23 20:41:03.000,0.2.7,37.0,interpret,,,,['jupyter'],199.0,191.0,https://pypi.org/project/interpret,2021-09-23 19:52:27.000,8.0,95877.0,95877.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n223,DEAP,deap/deap,distributed-ml,,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39.000,2022-04-19 14:41:23.000000,2022-01-22 18:26:24,2187,,956,203.0,192.0,225.0,252.0,4681,Distributed Evolutionary Algorithms in Python.,78.0,31,False,2020-01-21 01:18:06.000,1.3.1,19.0,deap,conda-forge/deap,,,,2912.0,2591.0,https://pypi.org/project/deap,2020-01-21 01:18:06.000,321.0,156742.0,159196.0,https://anaconda.org/conda-forge/deap,2022-04-11 15:37:59.925,174259.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n224,cuDF,rapidsai/cudf,gpu-utilities,,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000,2022-05-05 14:26:43.000000,2022-05-05 13:17:51,35036,370.0,601,140.0,6275.0,733.0,3806.0,4681,cuDF - GPU DataFrame Library.,238.0,31,True,2022-04-06 15:19:46.000,22.04.00,23.0,cudf,,,,,5.0,,https://pypi.org/project/cudf,2020-06-01 20:07:47.000,5.0,1450.0,1450.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n225,PaddleSeg,PaddlePaddle/PaddleSeg,image,,https://github.com/PaddlePaddle/PaddleSeg,https://github.com/PaddlePaddle/PaddleSeg,Apache-2.0,2019-08-26 02:32:22.000,2022-05-05 03:15:03.000000,2022-04-29 02:11:32,2332,112.0,1006,61.0,1016.0,549.0,517.0,4670,\"Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in..\",78.0,31,True,2022-04-20 08:05:01.000,2.5.0,15.0,paddleseg,,,,['paddle'],544.0,542.0,https://pypi.org/project/paddleseg,2022-04-20 08:05:01.000,2.0,1509.0,1509.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n226,Perspective,finos/perspective,data-viz,,https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000,2022-05-05 10:45:11.000000,2022-05-01 21:21:11,5149,131.0,463,102.0,1220.0,79.0,437.0,4471,\"A data visualization and analytics component, especially well-suited for large and/or streaming datasets.\",68.0,31,True,2022-04-27 00:47:34.123,1.3.10,74.0,perspective-python,conda-forge/perspective,,,['jupyter'],254.0,245.0,https://pypi.org/project/perspective-python,2022-03-14 20:14:01.000,9.0,1832.0,6587.0,https://anaconda.org/conda-forge/perspective,2022-04-29 22:34:12.592,51734.0,,,,,2.0,,,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2022-05-01 21:21:35.141,,2506.0,,,,,,,,,,,,,\n227,Activeloop,activeloopai/Hub,data-pipelines,,https://github.com/activeloopai/Hub,https://github.com/activeloopai/Hub,MPL-2.0,2019-08-09 06:17:59.000,2022-05-05 13:14:19.000000,2022-05-05 13:14:18,5610,396.0,377,60.0,1268.0,62.0,307.0,4467,\"Dataset format for AI. Build, manage, query & visualize datasets for deep learning. Stream data real-time to..\",95.0,31,True,2022-05-02 17:32:02.000,2.4.1,133.0,hub,,,,,53.0,,https://pypi.org/project/hub,2022-05-02 16:43:58.000,53.0,3632.0,3632.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n228,AutoGluon,awslabs/autogluon,hyperopt,,https://github.com/awslabs/autogluon,https://github.com/awslabs/autogluon,Apache-2.0,2019-07-29 18:51:24.000,2022-05-05 14:29:46.000000,2022-05-05 14:29:46,855,79.0,584,85.0,945.0,152.0,521.0,4449,\"AutoGluon: AutoML for Image, Text, and Tabular Data.\",70.0,31,True,2022-03-10 04:47:18.000,0.4.0,772.0,autogluon,,,,['mxnet'],120.0,116.0,https://pypi.org/project/autogluon,2022-05-05 09:05:00.000,4.0,67223.0,67223.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n229,imutils,PyImageSearch/imutils,image,,https://github.com/PyImageSearch/imutils,https://github.com/PyImageSearch/imutils,MIT,2015-01-11 20:05:39.000,2022-04-27 02:07:43.000000,2022-01-27 13:24:16,139,,957,152.0,107.0,146.0,77.0,4067,\"A series of convenience functions to make basic image processing operations such as translation, rotation, resizing,..\",21.0,31,True,2021-01-15 10:53:17.000,0.5.4,29.0,imutils,conda-forge/imutils,,,,25470.0,24715.0,https://pypi.org/project/imutils,2021-01-15 10:53:17.000,755.0,279933.0,282277.0,https://anaconda.org/conda-forge/imutils,2021-12-09 01:25:49.387,82058.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n230,sacred,IDSIA/sacred,ml-experiments,,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29.000,2022-04-30 12:04:38.000000,2022-03-28 13:48:51,1318,3.0,338,78.0,339.0,90.0,445.0,3809,\"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.\",97.0,31,True,2022-03-28 13:51:55.000,0.8.3,27.0,sacred,conda-forge/sacred,,,,1446.0,1344.0,https://pypi.org/project/sacred,2020-12-14 15:21:05.000,102.0,23734.0,23787.0,https://anaconda.org/conda-forge/sacred,2021-11-14 09:49:23.948,319.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n231,nevergrad,facebookresearch/nevergrad,hyperopt,,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000,2022-05-05 09:38:26.000000,2022-05-05 09:35:56,1011,60.0,311,66.0,1224.0,108.0,155.0,3296,A Python toolbox for performing gradient-free optimization.,48.0,31,True,2022-03-08 18:42:46.000,0.5.0,36.0,nevergrad,conda-forge/nevergrad,,,,333.0,315.0,https://pypi.org/project/nevergrad,2022-03-08 18:42:46.000,18.0,34172.0,35157.0,https://anaconda.org/conda-forge/nevergrad,2021-06-14 12:44:22.518,24631.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n232,dyNET,clab/dynet,ml-frameworks,,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21.000,2022-03-12 01:10:50.000000,2022-03-11 14:08:21,3271,4.0,703,189.0,731.0,259.0,661.0,3295,DyNet: The Dynamic Neural Network Toolkit.,159.0,31,True,2020-10-21 14:31:01.000,2.1.2,24.0,dyNET,,,,,237.0,209.0,https://pypi.org/project/dyNET,2020-10-21 14:31:01.000,28.0,20995.0,21078.0,,,,,,,,3.0,5571.0,,,,,,,,,,,,,,,,,,,,\n233,bqplot,bqplot/bqplot,data-viz,,https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18.000,2022-04-29 15:54:45.000000,2022-04-08 11:56:25,3513,28.0,458,109.0,930.0,228.0,356.0,3290,Plotting library for IPython/Jupyter notebooks.,56.0,31,True,2022-02-11 15:29:07.544,0.5.34,100.0,bqplot,conda-forge/bqplot,,,['jupyter'],132.0,30.0,https://pypi.org/project/bqplot,2022-02-11 15:27:16.000,92.0,69295.0,104520.0,https://anaconda.org/conda-forge/bqplot,2022-02-11 15:47:15.986,952291.0,,,,,2.0,,,,bqplot,https://www.npmjs.com/package/bqplot,2022-02-11 15:29:07.544,10.0,21999.0,,,,,,,,,,,,,\n234,Captum,pytorch/captum,interpretability,,https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000,2022-04-26 19:07:30.000000,2022-04-19 22:46:12,924,36.0,327,202.0,586.0,87.0,272.0,3143,Model interpretability and understanding for PyTorch.,82.0,31,True,2022-03-04 00:37:56.000,0.5.0,8.0,captum,conda-forge/captum,,,['pytorch'],536.0,517.0,https://pypi.org/project/captum,2022-03-03 23:07:53.000,19.0,52915.0,53068.0,https://anaconda.org/conda-forge/captum,2022-03-04 22:07:02.170,765.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n235,NMSLIB,nmslib/nmslib,nn-search,,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06.000,2022-04-19 16:32:28.000000,2022-04-19 16:32:11,1555,39.0,381,97.0,119.0,60.0,337.0,2755,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,48.0,31,True,2021-02-03 16:40:09.000,2.1.1,32.0,nmslib,conda-forge/nmslib,,,,645.0,598.0,https://pypi.org/project/nmslib,2021-02-03 00:02:08.000,47.0,103551.0,105549.0,https://anaconda.org/conda-forge/nmslib,2022-04-15 23:08:32.465,49968.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n236,aim,aimhubio/aim,ml-experiments,,https://github.com/aimhubio/aim,https://github.com/aimhubio/aim,Apache-2.0,2019-05-31 18:25:07.000,2022-05-05 13:54:54.000000,2022-05-05 11:49:01,1568,251.0,141,32.0,1224.0,179.0,339.0,2373,Aim easy-to-use and performant open-source ML experiment tracker.,32.0,31,True,2022-05-03 07:19:53.000,3.9.2,216.0,aim,conda-forge/aim,,,,79.0,75.0,https://pypi.org/project/aim,2022-05-05 00:15:24.000,4.0,35410.0,36476.0,https://anaconda.org/conda-forge/aim,2021-10-15 14:36:27.336,10661.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n237,scikit-optimize,scikit-optimize/scikit-optimize,hyperopt,,https://github.com/scikit-optimize/scikit-optimize,https://github.com/scikit-optimize/scikit-optimize,BSD-3-Clause,2016-03-20 21:10:54.000,2022-02-03 21:29:27.000000,2021-10-12 13:32:38,1570,,418,66.0,512.0,232.0,387.0,2338,Sequential model-based optimization with a `scipy.optimize` interface.,76.0,31,True,2021-10-12 15:33:19.000,0.9.0,23.0,scikit-optimize,conda-forge/scikit-optimize,,,,2821.0,2647.0,https://pypi.org/project/scikit-optimize,2021-10-12 14:21:32.000,174.0,841832.0,851116.0,https://anaconda.org/conda-forge/scikit-optimize,2021-12-15 05:01:56.230,538499.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n238,pgmpy,pgmpy/pgmpy,probabilistics,,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000,2022-05-03 00:33:05.000000,2022-05-03 00:33:05,2811,6.0,632,79.0,757.0,224.0,558.0,2046,\"Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in..\",104.0,31,True,2022-03-30 19:18:53.000,0.1.18,17.0,pgmpy,,,,,361.0,350.0,https://pypi.org/project/pgmpy,2022-03-30 19:09:08.000,11.0,67874.0,67880.0,,,,,,,,2.0,152.0,,,,,,,,,,,,,,,,,,,,\n239,Haiku,deepmind/dm-haiku,ml-frameworks,,https://github.com/deepmind/dm-haiku,https://github.com/deepmind/dm-haiku,Apache-2.0,2020-02-18 07:14:02.000,2022-05-05 13:41:04.000000,2022-05-03 09:08:06,723,53.0,151,37.0,242.0,38.0,113.0,1874,JAX-based neural network library.,59.0,31,True,2022-02-14 13:30:31.000,0.0.6,8.0,dm-haiku,conda-forge/dm-haiku,,,,451.0,421.0,https://pypi.org/project/dm-haiku,2022-02-14 13:30:31.000,30.0,94577.0,94744.0,https://anaconda.org/conda-forge/dm-haiku,2022-02-14 15:16:38.407,2519.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n240,Pythran,serge-sans-paille/pythran,others,,https://github.com/serge-sans-paille/pythran,https://github.com/serge-sans-paille/pythran,BSD-3-Clause,2012-05-29 08:02:14.000,2022-05-05 09:58:54.000000,2022-05-05 09:58:54,3530,30.0,172,53.0,1247.0,113.0,644.0,1729,Ahead of Time compiler for numeric kernels.,65.0,31,True,2021-12-14 08:16:44.000,0.11.0,52.0,pythran,conda-forge/pythran,,,,145.0,131.0,https://pypi.org/project/pythran,2021-12-14 08:16:44.000,14.0,267079.0,271775.0,https://anaconda.org/conda-forge/pythran,2022-04-10 10:43:10.231,225448.0,,,,,2.0,,,,,,,,,,,,,,,,,pythran,python-pythran,,,\n241,FairScale,facebookresearch/fairscale,distributed-ml,,https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000,2022-05-02 16:13:29.000000,2022-05-02 16:13:29,610,25.0,166,37.0,681.0,66.0,239.0,1715,PyTorch extensions for high performance and large scale training.,59.0,31,True,2022-03-09 19:12:03.000,0.4.6,28.0,fairscale,conda-forge/fairscale,,,['pytorch'],279.0,264.0,https://pypi.org/project/fairscale,2022-03-09 19:12:00.000,15.0,103762.0,105993.0,https://anaconda.org/conda-forge/fairscale,2022-03-22 05:13:02.529,13389.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n242,jellyfish,jamesturk/jellyfish,nlp,,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,BSD-2-Clause,2010-07-09 20:41:11.000,2022-04-08 08:13:55.565000,2022-01-07 20:13:06,422,,148,42.0,51.0,9.0,99.0,1649,a python library for doing approximate and phonetic matching of strings.,25.0,31,True,2022-01-07 20:20:43.000,0.9.0,32.0,jellyfish,conda-forge/jellyfish,,,,4009.0,3611.0,https://pypi.org/project/jellyfish,2022-01-07 20:20:43.000,398.0,2070087.0,2073134.0,https://anaconda.org/conda-forge/jellyfish,2022-04-08 08:13:55.565,207233.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n243,Geocoder,DenisCarriere/geocoder,geospatial-data,,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21.000,2022-02-11 13:28:12.000000,2018-10-12 15:53:05,1251,,267,55.0,151.0,99.0,217.0,1442,Python Geocoder.,73.0,31,False,2018-04-04 12:34:51.000,1.38.1,110.0,geocoder,conda-forge/geocoder,,,,5295.0,4803.0,https://pypi.org/project/geocoder,2018-04-04 12:34:51.000,492.0,416463.0,418031.0,https://anaconda.org/conda-forge/geocoder,2019-06-27 16:40:50.469,98819.0,,,,,3.0,,,,,,,,,,,,,,,,,,,geocoder,,\n244,mleap,combust/mleap,data-pipelines,,https://github.com/combust/mleap,https://github.com/combust/mleap,Apache-2.0,2016-08-23 03:51:03.000,2022-05-03 11:44:46.000000,2022-05-03 11:44:45,998,17.0,296,73.0,376.0,90.0,354.0,1379,MLeap: Deploy ML Pipelines to Production.,73.0,31,True,2022-04-04 13:22:30.000,0.20.0,10.0,mleap,conda-forge/mleap,,,,207.0,181.0,https://pypi.org/project/mleap,2022-04-04 13:22:30.000,26.0,207349.0,208584.0,https://anaconda.org/conda-forge/mleap,2022-04-05 03:50:48.321,45713.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n245,Model Analysis,tensorflow/model-analysis,interpretability,,https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000,2022-05-04 03:53:27.000000,2022-05-04 03:53:26,1144,47.0,244,69.0,90.0,28.0,49.0,1153,Model analysis tools for TensorFlow.,41.0,31,True,2022-03-04 23:47:25.000,0.38.0,48.0,tensorflow-model-analysis,,,,\"['tensorflow', 'jupyter']\",21.0,,https://pypi.org/project/tensorflow-model-analysis,2022-03-05 00:02:30.000,21.0,952941.0,952941.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n246,cartopy,SciTools/cartopy,data-viz,,https://github.com/SciTools/cartopy,https://github.com/SciTools/cartopy,LGPL-3.0,2012-08-03 07:43:59.000,2022-04-26 04:06:59.000000,2022-04-26 04:06:59,2604,14.0,314,58.0,980.0,303.0,776.0,1040,Cartopy - a cartographic python library with matplotlib support.,108.0,31,False,2022-01-13 02:45:47.000,0.20.2,25.0,cartopy,conda-forge/cartopy,,,,2644.0,2341.0,https://pypi.org/project/cartopy,2022-01-13 02:48:14.000,303.0,131887.0,159720.0,https://anaconda.org/conda-forge/cartopy,2022-03-09 12:44:40.770,2059684.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n247,igraph,igraph/python-igraph,graph,,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16.000,2022-05-05 12:12:29.000000,2022-05-04 20:26:53,1890,29.0,216,35.0,136.0,37.0,355.0,965,Python interface for igraph.,59.0,31,False,2022-04-11 14:19:16.000,0.9.10,28.0,python-igraph,conda-forge/igraph,,,,996.0,622.0,https://pypi.org/project/python-igraph,2022-04-11 14:19:16.000,374.0,241160.0,251681.0,https://anaconda.org/conda-forge/igraph,2022-04-12 09:31:20.357,283867.0,,,,,1.0,395599.0,,,,,,,,,,,,,,,,,,,,\n248,pyopencl,inducer/pyopencl,others,,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,MIT,2011-04-06 02:51:33.000,2022-05-04 17:25:56.000000,2022-05-01 19:39:10,3068,20.0,227,46.0,248.0,71.0,238.0,885,\"OpenCL integration for Python, plus shiny features.\",90.0,31,True,2022-04-19 04:32:48.000,2022.1.2,79.0,pyopencl,conda-forge/pyopencl,,,,905.0,719.0,https://pypi.org/project/pyopencl,2022-04-19 04:34:51.000,186.0,23638.0,32400.0,https://anaconda.org/conda-forge/pyopencl,2022-04-19 14:44:38.853,587091.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n249,metrics,PyTorchLightning/metrics,distributed-ml,,https://github.com/PyTorchLightning/metrics,https://github.com/PyTorchLightning/metrics,Apache-2.0,2020-12-22 20:02:42.000,2022-05-05 14:53:00.000000,2022-05-05 13:16:17,775,114.0,182,25.0,556.0,63.0,293.0,842,\"Machine learning metrics for distributed, scalable PyTorch applications.\",130.0,31,True,2022-04-27 05:02:48.000,0.8.1,17.0,metrics,conda-forge/torchmetrics,,,['pytorch'],2796.0,2782.0,https://pypi.org/project/metrics,2018-04-28 10:58:56.000,14.0,2608.0,25837.0,https://anaconda.org/conda-forge/torchmetrics,2022-04-27 10:12:57.812,324607.0,,,,,2.0,613.0,,,,,,,,,,,,,,,,,,,,\n250,snowballstemmer,snowballstem/snowball,nlp,,https://github.com/snowballstem/snowball,https://github.com/snowballstem/snowball,BSD-3-Clause,2013-02-23 07:17:42.000,2022-03-28 04:36:11.000000,2021-12-17 04:08:52,919,,153,34.0,108.0,25.0,44.0,557,Snowball compiler and stemming algorithms.,28.0,31,True,2021-11-16 18:38:34.000,2.2.0,10.0,snowballstemmer,conda-forge/snowballstemmer,,,,6731.0,4.0,https://pypi.org/project/snowballstemmer,2021-11-16 18:38:34.000,6727.0,6642350.0,6703402.0,https://anaconda.org/conda-forge/snowballstemmer,2021-11-17 09:59:16.947,4212635.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n251,huggingface_hub,huggingface/huggingface_hub,model-serialisation,,https://github.com/huggingface/huggingface_hub,https://github.com/huggingface/huggingface_hub,Apache-2.0,2020-12-22 10:20:28.000,2022-05-05 14:34:00.000000,2022-05-04 12:15:12,635,98.0,92,40.0,573.0,75.0,153.0,406,All the open source things related to the Hugging Face Hub.,61.0,31,True,2022-04-07 19:10:36.000,0.5.1,28.0,huggingface_hub,conda-forge/huggingface_hub,,,,66.0,,https://pypi.org/project/huggingface_hub,2022-04-06 12:19:09.000,66.0,4180931.0,4188127.0,https://anaconda.org/conda-forge/huggingface_hub,2022-04-06 13:35:18.503,107953.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n252,imageai,OlafenwaMoses/ImageAI,image,,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33.000,2022-03-11 23:50:34.000000,2021-05-08 20:05:36,292,,1904,280.0,68.0,252.0,429.0,6999,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,15.0,30,True,2021-01-05 01:26:01.000,2.1.6,10.0,imageai,conda-forge/imageai,,,,1110.0,1094.0,https://pypi.org/project/imageai,2021-01-05 01:26:01.000,16.0,19575.0,34863.0,https://anaconda.org/conda-forge/imageai,2021-04-30 19:03:25.297,2615.0,,,,,2.0,743375.0,,,,,,,,,,,,,,,,,,,,\n253,faust,robinhood/faust,data-pipelines,,https://github.com/robinhood/faust,https://github.com/robinhood/faust,BSD-3-Clause,2017-03-08 18:36:11.000,2022-04-23 23:04:21.000000,2020-10-09 12:59:42,4137,,522,135.0,286.0,249.0,238.0,6147,Python Stream Processing.,93.0,30,False,2020-02-25 22:57:18.000,1.10.4,46.0,faust,,,,,1069.0,1040.0,https://pypi.org/project/faust,2020-02-25 22:57:18.000,29.0,34679.0,34679.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n254,FinRL,AI4Finance-Foundation/FinRL,reinforcement-learning,,https://github.com/AI4Finance-Foundation/FinRL,https://github.com/AI4Finance-Foundation/FinRL,MIT,2020-07-26 13:18:16.000,2022-05-05 13:02:29.000000,2022-05-05 13:02:29,2075,680.0,1146,141.0,167.0,51.0,346.0,4812,FinRL: The first open-source project for financial reinforcement learning. Please star.,62.0,30,True,2022-01-08 13:58:14.000,0.3.4,6.0,finrl,,,,,11.0,11.0,https://pypi.org/project/finrl,2022-01-08 13:58:14.000,,281.0,281.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n255,pyAudioAnalysis,tyiannak/pyAudioAnalysis,audio,,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13.000,2022-04-19 21:26:55.000000,2022-04-19 21:26:51,771,10.0,1069,207.0,86.0,176.0,117.0,4742,\"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.\",26.0,30,True,2022-02-07 22:36:53.000,0.3.14,23.0,pyAudioAnalysis,,,,,283.0,264.0,https://pypi.org/project/pyAudioAnalysis,2022-02-07 22:36:53.000,19.0,16367.0,16367.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n256,haystack,deepset-ai/haystack,nlp,,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000,2022-05-05 14:35:44.000000,2022-05-05 10:24:45,1230,177.0,736,81.0,1110.0,197.0,1118.0,4610,Haystack is an open source NLP framework that leverages Transformer models. It enables developers to implement..,112.0,30,True,2022-05-05 10:48:07.000,1.4.0,35.0,haystack,,,,,85.0,,https://pypi.org/project/haystack,2021-12-15 14:01:39.322,85.0,914.0,914.0,,,,,,,,2.0,12.0,,,,,,,,,,,,,,,,,,,,\n257,VisualDL,PaddlePaddle/VisualDL,ml-experiments,,https://github.com/PaddlePaddle/VisualDL,https://github.com/PaddlePaddle/VisualDL,Apache-2.0,2017-12-20 12:34:31.000,2022-04-24 09:34:11.000000,2022-04-01 08:12:37,861,1.0,577,153.0,659.0,74.0,334.0,4337,Deep Learning Visualization Toolkit.,31.0,30,True,2021-11-09 12:29:34.000,2.2.2,35.0,visualdl,,,,['paddle'],1116.0,1093.0,https://pypi.org/project/visualdl,2022-01-06 11:05:02.000,23.0,73964.0,73971.0,,,,,,,,2.0,178.0,,,,,,,,,,,,,,,,,,,,\n258,NeMo,NVIDIA/NeMo,nlp,,https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000,2022-05-05 11:56:26.000000,2022-05-05 02:19:15,4369,219.0,938,128.0,2795.0,72.0,1023.0,4161,NeMo: a toolkit for conversational AI.,142.0,30,True,2022-04-26 21:29:23.000,1.8.2,55.0,nemo-toolkit,,,,['pytorch'],7.0,,https://pypi.org/project/nemo-toolkit,2022-04-26 20:42:24.000,7.0,15589.0,15656.0,,,,,,,,2.0,2151.0,,,,,,,,,,,,,,,,,,,,\n259,Darts,unit8co/darts,time-series-data,,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000,2022-05-05 13:53:25.000000,2022-05-05 13:53:25,762,62.0,400,41.0,504.0,160.0,284.0,3981,A python library for easy manipulation and forecasting of time series.,53.0,30,True,2022-04-13 19:19:27.000,0.19.0,29.0,u8darts,conda-forge/u8darts-all,unit8/darts,,,55.0,53.0,https://pypi.org/project/u8darts,2022-04-13 19:19:27.000,2.0,8566.0,8928.0,https://anaconda.org/conda-forge/u8darts-all,2022-04-14 09:14:30.260,3556.0,https://hub.docker.com/r/unit8/darts,2022-04-13 19:39:52.387591,,331.0,2.0,,,,,,,,,,,,,,,,,,,,,\n260,huey,coleifer/huey,data-pipelines,,https://github.com/coleifer/huey,https://github.com/coleifer/huey,MIT,2011-11-03 16:39:43.000,2022-05-04 14:19:29.000000,2022-05-04 14:19:21,936,2.0,330,83.0,161.0,,503.0,3939,a little task queue for python.,66.0,30,True,2021-12-28 18:36:38.000,2.4.3,64.0,huey,conda-forge/huey,,,,1071.0,911.0,https://pypi.org/project/huey,2021-12-28 18:36:38.000,160.0,174989.0,175466.0,https://anaconda.org/conda-forge/huey,2019-10-16 15:34:27.487,23418.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n261,ArrayFire,arrayfire/arrayfire,gpu-utilities,,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000,2022-04-27 19:38:07.000000,2022-04-22 13:58:11,5818,42.0,492,153.0,1735.0,236.0,1277.0,3815,ArrayFire: a general purpose GPU library.,81.0,30,True,2022-02-22 21:42:15.000,3.8.0,31.0,arrayfire,,,,,5.0,,https://pypi.org/project/arrayfire,2022-02-22 21:42:15.000,5.0,26812.0,26839.0,,,,,,,,2.0,2284.0,,,,,,,,,,,,,,,,,,,,\n262,deepface,serengil/deepface,image,,https://github.com/serengil/deepface,https://github.com/serengil/deepface,MIT,2020-02-08 20:42:28.000,2022-05-01 08:26:49.000000,2022-05-01 08:26:49,746,22.0,847,75.0,33.0,8.0,431.0,3720,\"A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python.\",23.0,30,True,2022-03-11 20:45:38.000,0.0.74,73.0,deepface,,,,,532.0,529.0,https://pypi.org/project/deepface,2022-03-11 20:45:38.000,3.0,29394.0,29394.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n263,yellowbrick,DistrictDataLabs/yellowbrick,interpretability,,https://github.com/DistrictDataLabs/yellowbrick,https://github.com/DistrictDataLabs/yellowbrick,Apache-2.0,2016-05-18 14:12:17.000,2022-05-04 01:59:41.000000,2022-04-19 16:02:10,873,11.0,516,105.0,587.0,90.0,569.0,3569,Visual analysis and diagnostic tools to facilitate machine learning model selection.,104.0,30,True,2022-02-19 22:49:03.000,1.4,23.0,yellowbrick,conda-forge/yellowbrick,,,['sklearn'],62.0,,https://pypi.org/project/yellowbrick,2022-02-19 22:41:36.000,62.0,596921.0,598109.0,https://anaconda.org/conda-forge/yellowbrick,2022-03-24 21:56:05.074,24964.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n264,D-Tale,man-group/dtale,data-viz,,https://github.com/man-group/dtale,https://github.com/man-group/dtale,LGPL-2.1,2019-07-15 09:34:48.000,2022-05-04 03:31:33.162000,2022-05-04 02:22:45,596,35.0,273,65.0,204.0,41.0,420.0,3384,Visualizer for pandas data structures.,23.0,30,True,2022-03-24 02:37:28.000,2.2.0,145.0,dtale,conda-forge/dtale,,,\"['pandas', 'jupyter']\",362.0,350.0,https://pypi.org/project/dtale,2022-03-24 02:36:09.000,12.0,63305.0,67464.0,https://anaconda.org/conda-forge/dtale,2022-05-04 03:31:33.162,112317.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n265,ftfy,rspeer/python-ftfy,nlp,,https://github.com/rspeer/python-ftfy,https://github.com/rspeer/python-ftfy,MIT,2012-08-24 16:14:59.000,2022-03-13 19:47:23.479000,2022-02-09 19:43:12,605,5.0,112,73.0,62.0,11.0,118.0,3236,\"Fixes mojibake and other glitches in Unicode text, after the fact.\",18.0,30,True,2022-02-09 19:44:15.000,6.1.1,48.0,ftfy,conda-forge/ftfy,,,,6053.0,5562.0,https://pypi.org/project/ftfy,2022-02-09 19:44:15.000,491.0,1656850.0,1659396.0,https://anaconda.org/conda-forge/ftfy,2022-03-13 19:47:23.479,155323.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n266,missingno,ResidentMario/missingno,data-viz,,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50.000,2022-02-27 20:46:03.000000,2022-02-27 20:46:03,186,6.0,395,70.0,36.0,6.0,112.0,3160,Missing data visualization module for Python.,17.0,30,True,2022-02-27 20:39:36.000,0.5.1,25.0,missingno,conda-forge/missingno,,,,7264.0,7149.0,https://pypi.org/project/missingno,2022-02-27 20:39:36.000,115.0,949466.0,952127.0,https://anaconda.org/conda-forge/missingno,2020-02-15 10:07:41.253,154353.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n267,ta,bukosabino/ta,financial-data,,https://github.com/bukosabino/ta,https://github.com/bukosabino/ta,MIT,2018-01-02 18:08:48.000,2022-04-27 16:09:34.000000,2022-04-24 13:40:45,612,8.0,702,129.0,102.0,111.0,96.0,2983,Technical Analysis Library using Pandas and Numpy.,28.0,30,True,2022-04-16 10:24:20.000,0.10.1,53.0,ta,conda-forge/ta,,,,1198.0,1165.0,https://pypi.org/project/ta,2022-04-16 10:24:20.000,33.0,72611.0,72799.0,https://anaconda.org/conda-forge/ta,2022-04-21 15:19:41.291,2829.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n268,implicit,benfred/implicit,recommender-systems,,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000,2022-04-26 22:59:23.000000,2022-04-12 23:24:07,380,8.0,533,83.0,172.0,70.0,327.0,2760,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,30.0,30,True,2022-01-29 04:12:37.000,0.5.2,41.0,implicit,conda-forge/implicit,,,,623.0,592.0,https://pypi.org/project/implicit,2022-01-29 04:12:37.000,31.0,138200.0,144781.0,https://anaconda.org/conda-forge/implicit,2022-01-29 16:35:56.077,342242.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n269,TorchServe,pytorch/serve,model-serialisation,,https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000,2022-05-05 04:34:44.000000,2022-05-05 01:46:16,3135,541.0,504,48.0,751.0,150.0,756.0,2590,\"Serve, optimize and scale PyTorch models in production.\",112.0,30,True,2022-03-01 23:52:48.000,0.5.3,14.0,torchserve,pytorch/torchserve,pytorch/torchserve,,['pytorch'],8.0,,https://pypi.org/project/torchserve,2022-03-01 19:56:22.000,8.0,13598.0,47341.0,https://anaconda.org/pytorch/torchserve,2022-03-01 22:01:57.360,22319.0,https://hub.docker.com/r/pytorch/torchserve,2022-03-01 18:53:18.598018,11.0,1016735.0,2.0,1374.0,,,,,,,,,,,,,,,,,,,,\n270,Neural Network Libraries,sony/nnabla,ml-frameworks,,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10.000,2022-05-01 11:42:01.000000,2022-05-01 11:39:58,3056,80.0,315,161.0,996.0,33.0,45.0,2533,Neural Network Libraries.,66.0,30,True,2022-05-02 00:27:26.000,1.28.0,65.0,nnabla,,,,,53.0,,https://pypi.org/project/nnabla,2022-05-01 11:42:01.000,53.0,3944.0,3953.0,,,,,,,,3.0,535.0,,,,,,,,,,,,,,,,,,,,\n271,ImageHash,JohannesBuchner/imagehash,image,,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48.000,2022-05-01 18:54:23.000000,2021-09-07 19:15:32,209,,294,65.0,54.0,13.0,94.0,2352,A Python Perceptual Image Hashing Module.,20.0,30,True,2021-07-15 12:35:01.000,4.2.1,18.0,ImageHash,conda-forge/imagehash,,,,5229.0,4914.0,https://pypi.org/project/ImageHash,2021-07-15 12:35:01.000,315.0,1313346.0,1315990.0,https://anaconda.org/conda-forge/imagehash,2021-07-15 15:00:27.543,174505.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n272,ploomber,ploomber/ploomber,data-pipelines,,https://github.com/ploomber/ploomber,https://github.com/ploomber/ploomber,Apache-2.0,2020-01-20 20:13:06.000,2022-05-05 08:03:36.000000,2022-04-28 10:18:53,2580,221.0,146,23.0,98.0,174.0,469.0,2352,\"The fastest way to build data pipelines. Develop iteratively, deploy anywhere.\",40.0,30,True,2022-04-22 22:30:18.000,0.18.1,85.0,ploomber,conda-forge/ploomber,,,,44.0,39.0,https://pypi.org/project/ploomber,2022-04-22 22:30:18.000,5.0,4395.0,4952.0,https://anaconda.org/conda-forge/ploomber,2022-04-23 00:29:26.052,6129.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n273,NeuralProphet,ourownstory/neural_prophet,time-series-data,,https://github.com/ourownstory/neural_prophet,https://github.com/ourownstory/neural_prophet,MIT,2020-05-04 05:12:43.000,2022-05-05 04:29:13.000000,2022-05-04 23:45:36,876,64.0,277,46.0,247.0,72.0,188.0,2222,NeuralProphet: A simple forecasting package.,19.0,30,True,2022-03-22 02:55:21.000,0.3.2,12.0,neuralprophet,,,,['pytorch'],74.0,74.0,https://pypi.org/project/neuralprophet,2022-03-22 02:55:21.000,,71904.0,71904.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,True,\n274,Foolbox,bethgelab/foolbox,adversarial,,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48.000,2022-04-14 16:10:53.000000,2022-04-02 15:23:34,1695,10.0,399,45.0,341.0,21.0,326.0,2212,\"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.\",32.0,30,True,2022-04-02 15:26:45.000,3.3.3,70.0,foolbox,conda-forge/foolbox,,,,297.0,284.0,https://pypi.org/project/foolbox,2022-04-02 15:26:45.000,13.0,3211.0,3471.0,https://anaconda.org/conda-forge/foolbox,2021-04-30 19:06:43.853,5727.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n275,hdbscan,scikit-learn-contrib/hdbscan,others,,https://github.com/scikit-learn-contrib/hdbscan,https://github.com/scikit-learn-contrib/hdbscan,BSD-3-Clause,2015-04-22 13:32:37.000,2022-05-05 14:03:04.000000,2022-05-02 14:25:44,946,9.0,396,55.0,117.0,269.0,155.0,2162,A high performance implementation of HDBSCAN clustering.,78.0,30,True,2022-02-08 17:15:41.000,0.8.28.wheels,44.0,hdbscan,conda-forge/hdbscan,,,['sklearn'],1494.0,1344.0,https://pypi.org/project/hdbscan,2022-02-08 15:45:27.000,150.0,379980.0,395115.0,https://anaconda.org/conda-forge/hdbscan,2022-02-11 21:21:32.499,1059463.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n276,tslearn,tslearn-team/tslearn,time-series-data,,https://github.com/tslearn-team/tslearn,https://github.com/tslearn-team/tslearn,BSD-2-Clause,2017-05-04 13:08:13.000,2022-04-30 08:22:12.000000,2021-12-06 15:56:44,1581,,274,58.0,132.0,87.0,182.0,2102,A machine learning toolkit dedicated to time-series data.,36.0,30,True,2021-08-16 07:09:52.000,0.5.2,94.0,tslearn,conda-forge/tslearn,,,['sklearn'],503.0,484.0,https://pypi.org/project/tslearn,2021-08-16 07:29:50.000,19.0,112398.0,117415.0,https://anaconda.org/conda-forge/tslearn,2022-01-15 08:48:51.564,250876.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n277,hnswlib,nmslib/hnswlib,nn-search,,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000,2022-05-02 15:28:57.000000,2022-04-16 02:58:29,379,10.0,364,61.0,145.0,126.0,121.0,1965,Header-only C++/python library for fast approximate nearest neighbors.,56.0,30,True,2022-02-14 22:34:58.000,0.6.2,9.0,hnswlib,conda-forge/hnswlib,,,,249.0,225.0,https://pypi.org/project/hnswlib,2022-02-14 22:34:58.000,24.0,242775.0,245031.0,https://anaconda.org/conda-forge/hnswlib,2022-04-16 08:50:37.714,38361.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n278,TFX,tensorflow/tfx,data-pipelines,,https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000,2022-05-05 04:55:40.000000,2022-05-04 22:01:38,4211,114.0,551,86.0,4086.0,249.0,508.0,1739,TFX is an end-to-end platform for deploying production ML pipelines.,134.0,30,True,2022-04-11 19:13:24.000,1.6.2,76.0,tfx,,,,['tensorflow'],8.0,,https://pypi.org/project/tfx,2022-04-11 19:13:24.000,8.0,336024.0,336024.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n279,shapash,MAIF/shapash,interpretability,,https://github.com/MAIF/shapash,https://github.com/MAIF/shapash,Apache-2.0,2020-04-29 07:34:23.000,2022-04-22 08:27:17.000000,2022-04-22 08:27:17,1119,141.0,221,36.0,226.0,18.0,97.0,1672,Shapash makes Machine Learning models transparent and understandable by everyone.,32.0,30,True,2022-04-19 09:23:00.000,2.0.0,20.0,shapash,,,,['jupyter'],72.0,72.0,https://pypi.org/project/shapash,2022-04-19 09:23:00.000,,18546.0,18546.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n280,PyCUDA,inducer/pycuda,gpu-utilities,,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000,2022-05-05 00:39:41.933000,2022-03-03 19:44:39,1519,6.0,254,54.0,118.0,65.0,157.0,1295,\"CUDA integration for Python, plus shiny features.\",75.0,30,True,2019-08-12 04:15:37.000,2019.1.2,47.0,pycuda,conda-forge/pycuda,,,,1481.0,1291.0,https://pypi.org/project/pycuda,2021-04-03 22:28:54.000,190.0,28132.0,32542.0,https://anaconda.org/conda-forge/pycuda,2022-05-05 00:39:41.933,61747.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n281,PennyLane,PennyLaneAI/PennyLane,others,,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000,2022-05-05 14:27:18.000000,2022-05-05 13:58:33,2518,182.0,359,53.0,1896.0,184.0,510.0,1233,PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum..,96.0,30,True,2022-04-25 22:31:59.000,0.23.0,35.0,pennylane,conda-forge/pennylane,,,,32.0,,https://pypi.org/project/pennylane,2022-04-25 22:31:59.000,32.0,13501.0,13644.0,https://anaconda.org/conda-forge/pennylane,2022-05-01 12:38:58.341,854.0,,,,,2.0,60.0,,,,,,,,,,,,,,,,,,,,\n282,tensorly,tensorly/tensorly,others,,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52.000,2022-05-05 00:57:27.000000,2022-05-05 00:57:27,1434,79.0,234,39.0,200.0,48.0,138.0,1226,TensorLy: Tensor Learning in Python.,52.0,30,True,2021-11-08 13:38:03.000,0.7.0,18.0,tensorly,conda-forge/tensorly,,,,283.0,253.0,https://pypi.org/project/tensorly,2021-11-08 13:38:03.000,30.0,5217.0,10065.0,https://anaconda.org/conda-forge/tensorly,2021-12-09 16:07:42.501,232720.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n283,SciSpacy,allenai/scispacy,nlp,,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52.000,2022-03-10 20:26:25.000000,2022-03-10 20:26:25,974,25.0,154,55.0,182.0,37.0,224.0,1150,A full spaCy pipeline and models for scientific/biomedical documents.,23.0,30,True,2022-03-10 20:16:24.000,0.5.0,11.0,scispacy,,,,,471.0,454.0,https://pypi.org/project/scispacy,2022-03-10 20:16:24.000,17.0,27535.0,27535.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n284,agate,wireservice/agate,others,,https://github.com/wireservice/agate,https://github.com/wireservice/agate,MIT,2014-04-25 13:59:09.000,2022-03-02 09:28:56.000000,2021-07-15 17:22:49,1466,,135,42.0,125.0,54.0,630.0,1091,A Python data analysis library that is optimized for humans instead of machines.,49.0,30,True,2021-07-15 16:32:29.000,1.6.3,26.0,agate,conda-forge/agate,,,,1021.0,888.0,https://pypi.org/project/agate,2021-07-15 16:32:29.000,133.0,1912684.0,1913968.0,https://anaconda.org/conda-forge/agate,2021-07-16 07:46:42.405,80951.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n285,kmodes,nicodv/kmodes,others,,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40.000,2022-04-15 01:12:43.970000,2022-04-14 21:20:28,513,41.0,370,54.0,34.0,15.0,129.0,1005,\"Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data.\",21.0,30,True,2022-04-14 21:25:10.000,0.12.1,16.0,kmodes,conda-forge/kmodes,,,,1190.0,1164.0,https://pypi.org/project/kmodes,2022-04-14 21:22:39.000,26.0,338108.0,338428.0,https://anaconda.org/conda-forge/kmodes,2022-04-15 01:12:43.970,8024.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n286,ktrain,amaiya/ktrain,ml-frameworks,,https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39.000,2022-05-05 02:57:11.000000,2022-04-22 15:15:15,2727,149.0,242,31.0,34.0,2.0,407.0,983,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,14.0,30,True,2022-03-28 21:39:40.000,0.30.0,169.0,ktrain,,,,['tensorflow'],289.0,287.0,https://pypi.org/project/ktrain,2022-03-28 21:38:12.000,2.0,27172.0,27172.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n287,pyjanitor,pyjanitor-devs/pyjanitor,others,,https://github.com/pyjanitor-devs/pyjanitor,https://github.com/pyjanitor-devs/pyjanitor,MIT,2018-03-04 22:43:33.000,2022-05-05 11:57:13.000000,2022-05-03 12:40:08,1389,62.0,153,21.0,630.0,105.0,365.0,906,Clean APIs for data cleaning. Python implementation of R package Janitor.,104.0,30,True,2022-05-03 04:09:24.000,0.23.1,55.0,pyjanitor,conda-forge/pyjanitor,,,,181.0,170.0,https://pypi.org/project/pyjanitor,2022-05-03 04:09:18.000,11.0,18292.0,20608.0,https://anaconda.org/conda-forge/pyjanitor,2021-11-22 17:28:45.154,115821.0,,,,,2.0,,,2.0,,,,,,,,,,,,,,,,,,\n288,Satpy,pytroll/satpy,geospatial-data,,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000,2022-05-05 14:19:11.000000,2022-05-04 14:49:16,10067,428.0,233,30.0,1348.0,376.0,461.0,822,Python package for earth-observing satellite data processing.,122.0,30,False,2022-04-14 07:42:54.000,0.36.0,77.0,satpy,conda-forge/satpy,,,,77.0,66.0,https://pypi.org/project/satpy,2022-04-14 07:42:54.000,11.0,2102.0,3979.0,https://anaconda.org/conda-forge/satpy,2022-04-14 11:56:29.017,86355.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n289,adapter-transformers,Adapter-Hub/adapter-transformers,others,,https://github.com/adapter-hub/adapter-transformers,https://github.com/adapter-hub/adapter-transformers,Apache-2.0,2020-04-21 16:21:43.000,2022-05-04 15:18:04.000000,2022-05-04 13:35:47,9674,236.0,126,14.0,169.0,46.0,125.0,791,Huggingface Transformers + Adapters =.,1173.0,30,True,2022-03-23 19:47:37.000,adapters3.0.0,14.0,adapter-transformers,,,,['huggingface'],78.0,73.0,https://pypi.org/project/adapter-transformers,2022-03-23 19:47:02.000,5.0,54148.0,54148.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n290,Cython BLIS,explosion/cython-blis,others,,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16.000,2022-05-05 13:48:54.000000,2022-03-22 09:52:20,537,4.0,32,12.0,41.0,6.0,23.0,187,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,11.0,30,False,2022-03-22 16:47:22.000,0.7.7,38.0,blis,conda-forge/cython-blis,,,,18086.0,17860.0,https://pypi.org/project/blis,2022-03-22 15:57:51.000,226.0,3861537.0,3899172.0,https://anaconda.org/conda-forge/cython-blis,2022-04-11 10:14:45.147,1430145.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n291,baselines,openai/baselines,reinforcement-learning,,https://github.com/openai/baselines,https://github.com/openai/baselines,MIT,2017-05-24 01:58:13.000,2021-12-03 07:10:56.000000,2020-01-31 13:06:18,347,,4144,585.0,367.0,472.0,431.0,12576,OpenAI Baselines: high-quality implementations of reinforcement learning algorithms.,114.0,29,False,2018-02-26 17:07:07.000,0.1.5,6.0,baselines,,,,,433.0,394.0,https://pypi.org/project/baselines,2018-02-26 17:07:07.000,39.0,1339.0,1339.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n292,vit-pytorch,lucidrains/vit-pytorch,image,,https://github.com/lucidrains/vit-pytorch,https://github.com/lucidrains/vit-pytorch,MIT,2020-10-03 22:47:24.000,2022-05-04 03:24:20.000000,2022-05-04 03:24:14,243,22.0,1613,114.0,31.0,87.0,96.0,9825,\"Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single..\",15.0,29,True,2022-05-04 02:45:07.000,0.35.2,137.0,vit-pytorch,,,,['pytorch'],108.0,105.0,https://pypi.org/project/vit-pytorch,2022-05-04 02:45:07.000,3.0,21263.0,21263.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n293,Dopamine,google/dopamine,reinforcement-learning,,https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36.000,2022-04-28 08:12:55.000000,2022-04-19 23:31:31,292,10.0,1301,447.0,42.0,80.0,83.0,9793,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,14.0,29,True,2021-12-13 23:17:39.000,4.0.2,42.0,dopamine-rl,,,,['tensorflow'],37.0,,https://pypi.org/project/dopamine-rl,2021-12-13 23:17:39.000,37.0,43265.0,43265.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n294,backtrader,mementum/backtrader,financial-data,,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52.000,2022-04-27 09:26:40.000000,2021-07-17 22:17:12,2385,,2654,548.0,198.0,42.0,,8654,Python Backtesting library for trading strategies.,52.0,29,False,,,155.0,backtrader,,,,,1061.0,1012.0,https://pypi.org/project/backtrader,2020-07-03 13:02:14.000,49.0,14084.0,14084.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n295,tsfresh,blue-yonder/tsfresh,time-series-data,,https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17.000,2021-12-21 18:56:28.651000,2021-12-21 03:31:43,507,,968,150.0,403.0,41.0,439.0,6375,Automatic extraction of relevant features from time series:.,82.0,29,True,2021-12-21 03:37:03.000,0.19.0,27.0,tsfresh,conda-forge/tsfresh,,,['sklearn'],55.0,,https://pypi.org/project/tsfresh,2021-12-21 03:37:03.000,55.0,375880.0,378674.0,https://anaconda.org/conda-forge/tsfresh,2021-12-21 18:56:28.651,150908.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n296,OCRmyPDF,ocrmypdf/OCRmyPDF,ocr,,https://github.com/ocrmypdf/OCRmyPDF,https://github.com/ocrmypdf/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000,2022-05-04 13:41:16.000000,2022-04-15 03:19:31,3187,34.0,562,121.0,106.0,93.0,757.0,6292,\"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.\",64.0,29,True,2022-04-15 03:55:44.000,13.4.3,195.0,ocrmypdf,conda-forge/ocrmypdf,,,,12.0,,https://pypi.org/project/ocrmypdf,2022-04-15 03:55:44.000,12.0,23017.0,23664.0,https://anaconda.org/conda-forge/ocrmypdf,2022-04-15 10:56:54.632,9711.0,,,,,2.0,,,,,,,,,,ocrmypdf,ocrmypdf,,,,,,,,,,\n297,PyTorch3D,facebookresearch/pytorch3d,image,,https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,,2019-10-25 02:23:45.000,2022-05-04 03:30:49.000000,2022-05-04 03:29:21,733,78.0,876,138.0,103.0,79.0,933.0,5933,PyTorch3D is FAIRs library of reusable components for deep learning with 3D data.,86.0,29,False,2022-04-28 16:15:23.000,0.6.2,11.0,pytorch3d,pytorch3d/pytorch3d,,,['pytorch'],201.0,196.0,https://pypi.org/project/pytorch3d,2022-04-28 15:53:26.000,5.0,17568.0,19045.0,https://anaconda.org/pytorch3d/pytorch3d,2022-04-28 15:25:00.343,44322.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n298,CleverHans,cleverhans-lab/cleverhans,adversarial,,https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04.000,2022-01-23 02:08:30.000000,2021-09-23 22:14:27,3201,,1324,190.0,780.0,25.0,422.0,5483,\"An adversarial example library for constructing attacks, building defenses, and benchmarking both.\",128.0,29,True,2021-07-24 08:53:21.000,4.0.0,8.0,cleverhans,conda-forge/cleverhans,,,['tensorflow'],329.0,318.0,https://pypi.org/project/cleverhans,2021-07-24 08:53:21.000,11.0,1610.0,1734.0,https://anaconda.org/conda-forge/cleverhans,2021-07-29 12:49:41.903,2852.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n299,Coqui TTS,coqui-ai/TTS,audio,,https://github.com/coqui-ai/TTS,https://github.com/coqui-ai/TTS,MPL-2.0,2020-05-20 15:45:28.000,2022-05-05 00:55:16.000000,2022-04-20 09:46:26,4041,264.0,470,100.0,267.0,27.0,288.0,4692,\"- a deep learning toolkit for Text-to-Speech, battle-tested in research and production.\",85.0,29,True,2022-04-20 09:48:23.000,0.6.2,28.0,tts,conda-forge/tts,,,\"['pytorch', 'tensorflow']\",,,https://pypi.org/project/tts,2017-07-14 20:02:42.000,,4968.0,14729.0,https://anaconda.org/conda-forge/tts,2021-12-15 19:29:56.367,1418.0,,,,,2.0,133827.0,,,,,,,,,,,,,,,,,,,,\n300,skorch,skorch-dev/skorch,ml-frameworks,,https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000,2022-05-01 15:27:19.000000,2022-04-24 14:56:41,985,10.0,301,82.0,423.0,52.0,384.0,4479,A scikit-learn compatible neural network library that wraps PyTorch.,49.0,29,True,2021-10-31 15:54:20.000,0.11.0,14.0,skorch,conda-forge/skorch,,,\"['pytorch', 'sklearn']\",527.0,494.0,https://pypi.org/project/skorch,2021-10-31 15:48:51.000,33.0,20798.0,32872.0,https://anaconda.org/conda-forge/skorch,2021-11-30 10:48:50.965,531285.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n301,pyfolio,quantopian/pyfolio,financial-data,,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39.000,2021-12-26 17:08:51.000000,2020-07-15 13:46:58,1184,,1352,306.0,290.0,134.0,265.0,4366,Portfolio and risk analytics in Python.,56.0,29,False,2019-04-15 15:00:21.000,0.9.2,22.0,pyfolio,conda-forge/pyfolio,,,,436.0,404.0,https://pypi.org/project/pyfolio,2019-04-15 15:00:21.000,32.0,5502.0,5666.0,https://anaconda.org/conda-forge/pyfolio,2020-05-16 14:11:57.267,8373.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n302,lightfm,lyst/lightfm,recommender-systems,,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00.000,2022-03-14 22:25:39.000000,2022-03-09 16:54:36,461,20.0,616,93.0,197.0,98.0,347.0,4005,\"A Python implementation of LightFM, a hybrid recommendation algorithm.\",44.0,29,True,2020-11-27 19:48:30.000,1.16,14.0,lightfm,conda-forge/lightfm,,,,765.0,720.0,https://pypi.org/project/lightfm,2020-11-27 19:55:08.000,45.0,388909.0,391159.0,https://anaconda.org/conda-forge/lightfm,2022-03-09 22:21:56.668,117050.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n303,Lasagne,Lasagne/Lasagne,ml-frameworks,,https://github.com/Lasagne/Lasagne,https://github.com/Lasagne/Lasagne,MIT,2014-09-11 15:31:41.000,2022-03-26 02:58:32.000000,2019-11-20 20:28:30,1161,,977,215.0,408.0,139.0,402.0,3813,Lightweight library to build and train neural networks in Theano.,72.0,29,False,2015-08-13 21:00:09.000,0.1,2.0,lasagne,,,,,1166.0,905.0,https://pypi.org/project/lasagne,2021-12-15 16:05:43.118,261.0,3627.0,3627.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n304,DoWhy,Microsoft/dowhy,interpretability,,https://github.com/microsoft/dowhy,https://github.com/microsoft/dowhy,MIT,2018-05-31 13:07:04.000,2022-05-04 14:26:03.000000,2022-03-20 14:15:15,493,10.0,600,119.0,212.0,49.0,145.0,3806,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,48.0,29,True,2022-03-20 14:18:18.000,0.7.1,8.0,dowhy,conda-forge/dowhy,,,,104.0,100.0,https://pypi.org/project/dowhy,2022-03-20 14:18:18.000,4.0,98687.0,98900.0,https://anaconda.org/conda-forge/dowhy,2022-03-21 02:41:13.248,5127.0,,,,,2.0,27.0,,,,,,,,,,,,,,,,,,,,\n305,River,online-ml/river,others,,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000,2022-04-28 19:36:00.000000,2022-04-28 17:09:42,3294,38.0,369,81.0,308.0,12.0,350.0,3350,Online machine learning in Python.,76.0,29,True,2022-02-04 15:14:56.000,0.10.0,6.0,river,conda-forge/river,,,,116.0,110.0,https://pypi.org/project/river,2022-02-04 15:29:10.000,6.0,5404.0,5983.0,https://anaconda.org/conda-forge/river,2021-12-09 16:10:41.029,7533.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n306,nlpaug,makcedward/nlpaug,nlp,,https://github.com/makcedward/nlpaug,https://github.com/makcedward/nlpaug,MIT,2019-03-21 03:00:17.000,2022-05-02 18:38:33.000000,2022-04-03 20:16:49,722,12.0,358,37.0,113.0,34.0,143.0,3192,Data augmentation for NLP.,30.0,29,True,2021-12-25 02:49:58.000,1.1.10,36.0,nlpaug,conda-forge/nlpaug,,,,330.0,316.0,https://pypi.org/project/nlpaug,2021-12-23 17:35:56.000,14.0,51911.0,52060.0,https://anaconda.org/conda-forge/nlpaug,2021-12-25 16:31:39.772,1644.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n307,causalml,uber/causalml,others,,https://github.com/uber/causalml,https://github.com/uber/causalml,Apache-2.0,2019-07-09 02:08:58.000,2022-05-04 23:31:19.000000,2022-05-02 20:57:54,459,32.0,473,71.0,228.0,45.0,213.0,2973,Uplift modeling and causal inference with machine learning algorithms.,40.0,29,True,2022-03-14 23:38:27.000,0.12.3,19.0,causalml,,,,,45.0,44.0,https://pypi.org/project/causalml,2022-03-14 23:38:27.000,1.0,46039.0,46039.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n308,gpustat,wookayin/gpustat,gpu-utilities,,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43.000,2022-05-01 03:20:02.000000,2021-11-07 22:16:38,171,,219,41.0,40.0,22.0,59.0,2842,A simple command-line utility for querying and monitoring GPU status.,12.0,29,True,2019-07-22 06:37:00.000,0.6.0,11.0,gpustat,conda-forge/gpustat,,,,1939.0,1840.0,https://pypi.org/project/gpustat,2021-01-02 05:59:41.000,99.0,548761.0,552203.0,https://anaconda.org/conda-forge/gpustat,2020-11-24 19:59:04.772,130813.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n309,Sumy,miso-belica/sumy,nlp,,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48.000,2022-04-22 07:57:30.389000,2022-04-21 22:32:03,411,8.0,471,113.0,72.0,14.0,87.0,2791,Module for automatic summarization of text documents and HTML pages.,22.0,29,True,2022-04-21 21:59:46.000,0.10.0,15.0,sumy,conda-forge/sumy,,,,1310.0,1209.0,https://pypi.org/project/sumy,2022-04-21 21:59:46.000,101.0,20958.0,21032.0,https://anaconda.org/conda-forge/sumy,2022-04-22 07:57:30.389,822.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n310,cuML,rapidsai/cuml,gpu-utilities,,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000,2022-05-05 14:06:34.000000,2022-05-03 15:40:41,14773,94.0,399,71.0,2728.0,689.0,1343.0,2712,cuML - RAPIDS Machine Learning Library.,150.0,29,True,2022-04-06 17:07:52.000,22.04.00,21.0,cuml,,,,,3.0,,https://pypi.org/project/cuml,2020-06-01 20:09:10.000,3.0,714.0,714.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n311,Acme,deepmind/acme,reinforcement-learning,,https://github.com/deepmind/acme,https://github.com/deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000,2022-05-04 14:17:06.000000,2022-05-04 14:16:38,867,151.0,321,72.0,40.0,40.0,156.0,2625,A library of reinforcement learning components and agents.,66.0,29,True,2022-02-10 06:52:01.000,0.4.0,15.0,dm-acme,conda-forge/dm-acme,,,['tensorflow'],76.0,74.0,https://pypi.org/project/dm-acme,2022-02-10 06:52:27.000,2.0,4619.0,4738.0,https://anaconda.org/conda-forge/dm-acme,2021-12-09 14:52:24.765,2150.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n312,Cufflinks,santosjorge/cufflinks,data-viz,,https://github.com/santosjorge/cufflinks,https://github.com/santosjorge/cufflinks,MIT,2014-11-19 20:59:33.000,2022-02-11 16:25:24.000000,2021-02-25 05:05:09,452,,587,106.0,73.0,92.0,123.0,2560,Productivity Tools for Plotly + Pandas.,38.0,29,False,2020-03-01 17:42:01.000,0.17.3,28.0,cufflinks,,,,['pandas'],5925.0,5767.0,https://pypi.org/project/cufflinks,2021-12-15 15:49:58.297,158.0,326721.0,326721.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n313,pandas-ta,twopirllc/pandas-ta,probabilistics,,https://github.com/twopirllc/pandas-ta,https://github.com/twopirllc/pandas-ta,MIT,2019-02-19 16:41:09.000,2022-05-03 19:04:16.000000,2022-01-31 16:47:12,581,,548,75.0,136.0,57.0,332.0,2433,Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators.,44.0,29,True,2021-07-28 20:21:21.000,0.3.14,19.0,pandas-ta,conda-forge/pandas-ta,,,['pandas'],640.0,630.0,https://pypi.org/project/pandas-ta,2021-07-28 20:51:17.000,10.0,77778.0,77872.0,https://anaconda.org/conda-forge/pandas-ta,2021-10-05 09:16:48.657,660.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n314,STUMPY,TDAmeritrade/stumpy,time-series-data,,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000,2022-05-04 14:20:28.000000,2022-05-04 14:20:18,1089,103.0,219,48.0,116.0,30.0,279.0,2269,STUMPY is a powerful and scalable Python library for modern time series analysis.,29.0,29,True,2022-03-31 21:23:48.000,1.11.1,27.0,stumpy,conda-forge/stumpy,,,,4.0,,https://pypi.org/project/stumpy,2022-03-31 21:23:48.000,4.0,257608.0,258657.0,https://anaconda.org/conda-forge/stumpy,2022-03-31 21:30:16.208,37779.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n315,dtreeviz,parrt/dtreeviz,interpretability,,https://github.com/parrt/dtreeviz,https://github.com/parrt/dtreeviz,MIT,2018-08-13 21:45:15.000,2022-04-29 20:01:45.971000,2022-04-29 17:52:14,384,10.0,267,47.0,62.0,25.0,98.0,2087,A python library for decision tree visualization and model interpretation.,19.0,29,True,2022-04-29 17:54:45.000,1.3.6,29.0,dtreeviz,conda-forge/dtreeviz,,,,380.0,366.0,https://pypi.org/project/dtreeviz,2022-04-29 17:54:38.000,14.0,95118.0,95656.0,https://anaconda.org/conda-forge/dtreeviz,2022-04-29 20:01:45.971,9687.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n316,TextAttack,QData/TextAttack,adversarial,,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000,2022-05-04 23:46:23.000000,2022-04-04 04:17:16,2457,48.0,247,30.0,441.0,42.0,160.0,1951,\"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP..\",51.0,29,True,2021-11-10 01:36:28.000,0.3.4,42.0,textattack,conda-forge/textattack,,,,82.0,75.0,https://pypi.org/project/textattack,2021-11-10 01:36:28.000,7.0,5973.0,6107.0,https://anaconda.org/conda-forge/textattack,2021-06-29 21:16:15.345,2687.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n317,pytorch-forecasting,jdb78/pytorch-forecasting,time-series-data,,https://github.com/jdb78/pytorch-forecasting,https://github.com/jdb78/pytorch-forecasting,MIT,2020-07-03 13:05:24.000,2022-05-04 19:16:40.000000,2022-05-04 14:44:41,1319,156.0,304,31.0,524.0,203.0,246.0,1920,Time series forecasting with PyTorch.,29.0,29,True,2022-03-24 21:27:35.000,0.10.1,31.0,pytorch-forecasting,conda-forge/pytorch-forecasting,,,,4.0,,https://pypi.org/project/pytorch-forecasting,2022-03-24 21:27:35.000,4.0,55196.0,56091.0,https://anaconda.org/conda-forge/pytorch-forecasting,2022-03-24 23:01:40.805,17901.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n318,tesserocr,sirfz/tesserocr,ocr,,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36.000,2022-05-04 23:34:17.279000,2021-11-09 18:12:47,178,,219,54.0,58.0,81.0,165.0,1622,A Python wrapper for the tesseract-ocr API.,26.0,29,True,2021-06-19 21:10:18.000,2.5.2,16.0,tesserocr,conda-forge/tesserocr,,,,721.0,654.0,https://pypi.org/project/tesserocr,2021-06-19 21:10:18.000,67.0,59347.0,61524.0,https://anaconda.org/conda-forge/tesserocr,2022-05-04 23:34:17.279,67489.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n319,pyLDAvis,bmabey/pyLDAvis,interpretability,,https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03.000,2022-02-01 14:45:02.000000,2021-03-24 13:03:31,240,,320,57.0,64.0,86.0,78.0,1604,Python library for interactive topic model visualization. Port of the R LDAvis package.,32.0,29,False,2021-03-24 13:05:21.000,3.3.1,24.0,pyldavis,conda-forge/pyldavis,,,['jupyter'],3556.0,3426.0,https://pypi.org/project/pyldavis,2021-03-24 12:57:08.000,130.0,723633.0,724435.0,https://anaconda.org/conda-forge/pyldavis,2021-03-24 15:17:07.309,37697.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n320,Talos,autonomio/talos,hyperopt,,https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41.000,2022-04-23 16:54:31.000000,2022-04-23 16:54:30,635,66.0,257,28.0,181.0,21.0,372.0,1517,\"Hyperparameter Optimization for TensorFlow, Keras and PyTorch.\",22.0,29,True,2022-04-15 14:37:02.000,1.2.3,16.0,talos,,,,['tensorflow'],151.0,145.0,https://pypi.org/project/talos,2022-04-15 14:37:25.000,6.0,1683.0,1683.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n321,lightning-flash,PyTorchLightning/lightning-flash,pytorch-utils,,https://github.com/PyTorchLightning/lightning-flash,https://github.com/PyTorchLightning/lightning-flash,Apache-2.0,2021-01-28 18:47:16.000,2022-05-05 07:51:12.000000,2022-05-03 14:10:12,890,89.0,163,36.0,818.0,34.0,422.0,1451,Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7..,69.0,29,True,2022-04-27 16:57:45.000,0.7.4,34.0,lightning-flash,conda-forge/lightning-flash,,,['pytorch'],72.0,70.0,https://pypi.org/project/lightning-flash,2022-04-27 16:57:45.000,2.0,5064.0,5209.0,https://anaconda.org/conda-forge/lightning-flash,2022-04-28 02:55:32.020,1311.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n322,ViZDoom,mwydmuch/ViZDoom,reinforcement-learning,,https://github.com/mwydmuch/ViZDoom,https://github.com/mwydmuch/ViZDoom,MIT,2015-06-26 18:38:23.000,2022-04-18 01:40:02.000000,2022-04-17 23:08:45,1545,16.0,338,51.0,73.0,84.0,346.0,1357,Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information.,47.0,29,True,2022-04-18 01:40:02.000,1.1.13,24.0,vizdoom,,,,,148.0,134.0,https://pypi.org/project/vizdoom,2022-04-18 01:07:39.000,14.0,1260.0,1415.0,,,,,,,,2.0,11505.0,,,,,,,,,,,,,,,,,,,,\n323,ArcGIS API,Esri/arcgis-python-api,geospatial-data,,https://github.com/Esri/arcgis-python-api,https://github.com/Esri/arcgis-python-api,Apache-2.0,2016-03-16 01:09:14.000,2022-05-04 23:46:59.000000,2022-04-27 06:16:00,3432,26.0,881,138.0,809.0,123.0,382.0,1286,Documentation and samples for ArcGIS API for Python.,78.0,29,True,2022-02-02 00:09:26.000,2.0.0,32.0,arcgis,,esridocker/arcgis-api-python-notebook,,,22.0,,https://pypi.org/project/arcgis,2022-02-03 03:33:19.000,22.0,55127.0,55265.0,,,,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,2022-02-04 23:58:53.044266,33.0,6940.0,3.0,3109.0,,,,,,,,,,,,,,,,,,,,\n324,TabPy,tableau/TabPy,others,,https://github.com/tableau/TabPy,https://github.com/tableau/TabPy,MIT,2016-09-27 21:26:03.000,2022-05-02 20:36:07.551000,2022-03-31 18:13:34,887,12.0,459,113.0,246.0,10.0,281.0,1233,Execute Python code on the fly and display results in Tableau visualizations:.,46.0,29,True,2022-01-20 22:19:32.000,2.5.0,26.0,tabpy,anaconda/tabpy-client,,,,88.0,86.0,https://pypi.org/project/tabpy,2022-01-20 22:19:32.000,2.0,18844.0,18888.0,https://anaconda.org/anaconda/tabpy-client,2022-05-02 20:36:07.551,2693.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n325,pingouin,raphaelvallat/pingouin,probabilistics,,https://github.com/raphaelvallat/pingouin,https://github.com/raphaelvallat/pingouin,GPL-3.0,2018-04-01 01:10:22.000,2022-04-15 22:47:36.000000,2022-04-12 21:01:52,1181,18.0,96,23.0,54.0,31.0,176.0,1049,Statistical package in Python based on Pandas.,31.0,29,False,2022-02-20 17:08:26.000,0.5.1,36.0,pingouin,conda-forge/pingouin,,,,569.0,544.0,https://pypi.org/project/pingouin,2021-10-28 21:59:14.000,25.0,92657.0,93977.0,https://anaconda.org/conda-forge/pingouin,2022-02-20 19:06:42.211,54139.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n326,Keras-Preprocessing,keras-team/keras-preprocessing,tensorflow-utils,,https://github.com/keras-team/keras-preprocessing,https://github.com/keras-team/keras-preprocessing,MIT,2018-05-30 22:43:36.000,2022-02-17 22:38:16.000000,2022-02-17 22:38:15,288,4.0,439,43.0,176.0,93.0,102.0,1019,\"Utilities for working with image data, text data, and sequence data.\",52.0,29,True,2020-05-14 03:53:47.000,1.1.2,12.0,keras-preprocessing,conda-forge/keras-preprocessing,,,['tensorflow'],1481.0,,https://pypi.org/project/keras-preprocessing,2020-05-14 03:53:47.000,1481.0,8930025.0,8957189.0,https://anaconda.org/conda-forge/keras-preprocessing,2021-01-15 12:28:58.923,1276748.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n327,arch,bashtage/arch,financial-data,,https://github.com/bashtage/arch,https://github.com/bashtage/arch,NCSA,2014-08-29 15:41:28.000,2022-04-28 08:52:35.000000,2022-04-28 08:48:03,938,24.0,204,42.0,406.0,16.0,158.0,908,ARCH models in Python.,30.0,29,False,2022-03-31 08:43:03.000,5.2.0,36.0,arch,conda-forge/arch-py,,,,585.0,539.0,https://pypi.org/project/arch,2022-03-31 08:43:03.000,46.0,131244.0,135035.0,https://anaconda.org/conda-forge/arch-py,2022-04-01 07:47:50.740,113750.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n328,patsy,pydata/patsy,probabilistics,,https://github.com/pydata/patsy,https://github.com/pydata/patsy,BSD-2-Clause,2012-07-10 12:30:06.000,2021-09-26 16:29:44.000000,2021-09-26 16:29:39,539,,94,29.0,52.0,73.0,68.0,827,Describing statistical models in Python using symbolic formulas.,16.0,29,True,2021-09-27 02:10:26.000,0.5.2,9.0,patsy,conda-forge/patsy,,,,53606.0,50960.0,https://pypi.org/project/patsy,2021-09-26 05:26:37.000,2646.0,6750698.0,6817435.0,https://anaconda.org/conda-forge/patsy,2021-09-26 14:43:31.594,4604914.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n329,CLTK,cltk/cltk,nlp,,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000,2022-05-01 15:48:16.000000,2022-05-01 15:48:05,3618,22.0,307,67.0,644.0,25.0,496.0,718,The Classical Language Toolkit.,115.0,29,True,2022-04-26 06:16:58.000,1.1.0,197.0,cltk,,,,,242.0,200.0,https://pypi.org/project/cltk,2022-04-26 06:18:37.000,42.0,2216.0,2216.0,,,,,,,,2.0,25.0,,,,,,,,,,,,,,,,,,,,\n330,geojson,jazzband/geojson,geospatial-data,,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48.000,2022-04-14 10:49:04.000000,2022-01-03 20:57:51,456,,90,29.0,99.0,22.0,60.0,707,Python bindings and utilities for GeoJSON.,46.0,29,True,2019-08-09 20:32:15.000,2.5.0,28.0,geojson,conda-forge/geojson,,,,10310.0,9192.0,https://pypi.org/project/geojson,2019-08-09 20:32:15.000,1118.0,904030.0,910782.0,https://anaconda.org/conda-forge/geojson,2019-08-11 12:10:34.426,499720.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n331,data-validation,tensorflow/data-validation,data-viz,,https://github.com/tensorflow/data-validation,https://github.com/tensorflow/data-validation,Apache-2.0,2018-07-02 15:47:02.000,2022-05-04 02:00:11.000000,2022-05-04 02:00:10,762,39.0,119,45.0,66.0,37.0,119.0,630,Library for exploring and validating machine learning data.,24.0,29,True,2022-03-02 20:48:55.000,1.7.0,37.0,tensorflow-data-validation,,,,\"['tensorflow', 'jupyter']\",489.0,462.0,https://pypi.org/project/tensorflow-data-validation,2022-03-02 21:00:34.000,27.0,1254950.0,1254956.0,,,,,,,,3.0,300.0,,,,,,,,,,,,,,,,,,,,\n332,hvPlot,holoviz/hvplot,data-viz,,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000,2022-05-05 07:41:41.000000,2022-05-05 07:41:37,467,32.0,67,21.0,292.0,145.0,276.0,551,\"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.\",36.0,29,True,2021-07-26 16:25:50.000,0.7.3,40.0,hvplot,conda-forge/hvplot,,,,1276.0,1215.0,https://pypi.org/project/hvplot,2022-04-08 16:02:25.000,61.0,166283.0,169952.0,https://anaconda.org/conda-forge/hvplot,2021-07-23 14:04:28.244,165119.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n333,TensorFlow I/O,tensorflow/io,tensorflow-utils,,https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05.000,2022-04-27 12:50:50.000000,2022-04-18 21:51:42,1565,21.0,223,39.0,1158.0,190.0,332.0,550,\"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.\",92.0,29,True,2022-04-21 16:25:12.000,0.25.0,32.0,tensorflow-io,,,,['tensorflow'],23.0,,https://pypi.org/project/tensorflow-io,2022-04-21 16:23:45.000,23.0,182174.0,182174.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n334,Neptune.ai,neptune-ai/neptune-client,ml-experiments,,https://github.com/neptune-ai/neptune-client,https://github.com/neptune-ai/neptune-client,Apache-2.0,2019-02-11 11:25:57.000,2022-04-26 12:14:33.000000,2022-04-25 07:35:28,935,46.0,24,11.0,738.0,20.0,137.0,272,Experiment tracking tool and model registry.,26.0,29,False,2022-04-19 13:25:20.000,0.16.1,132.0,neptune-client,conda-forge/neptune-client,,,,657.0,630.0,https://pypi.org/project/neptune-client,2022-04-19 13:25:20.000,27.0,641600.0,643763.0,https://anaconda.org/conda-forge/neptune-client,2022-04-19 15:51:27.837,60583.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n335,spleeter,deezer/spleeter,audio,,https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000,2022-05-04 12:33:53.000000,2022-04-01 09:36:15,481,6.0,2136,366.0,87.0,142.0,533.0,19445,Deezer source separation library including pretrained models.,19.0,28,True,2021-09-03 09:59:00.000,2.3.0,34.0,spleeter,conda-forge/spleeter,,,['tensorflow'],5.0,,https://pypi.org/project/spleeter,2021-09-03 09:55:50.000,5.0,12690.0,66632.0,https://anaconda.org/conda-forge/spleeter,2020-06-30 14:33:43.220,63286.0,,,,,2.0,1606828.0,,,,,,,,,,,,,,,,,,,,\n336,pysc2,deepmind/pysc2,others,,https://github.com/deepmind/pysc2,https://github.com/deepmind/pysc2,Apache-2.0,2017-07-25 18:16:57.000,2022-01-29 13:11:26.000000,2019-09-27 15:23:22,513,,1135,366.0,74.0,67.0,205.0,7500,StarCraft II Learning Environment.,34.0,28,False,2019-09-27 15:48:01.000,3.0.0,7.0,pysc2,,,,,398.0,373.0,https://pypi.org/project/pysc2,2019-09-27 15:48:01.000,25.0,1449.0,1946.0,,,,,,,,2.0,28365.0,,,,,,,,,,,,,,,,,,,,\n337,TensorLayer,tensorlayer/tensorlayer,reinforcement-learning,,https://github.com/tensorlayer/TensorLayer,https://github.com/tensorlayer/TensorLayer,Apache-2.0,2016-06-07 15:55:16.000,2022-04-23 17:46:37.000000,2022-04-23 17:46:37,3352,2.0,1569,463.0,697.0,28.0,439.0,6992,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,132.0,28,True,2022-02-15 02:05:47.000,2.2.5,83.0,tensorlayer,,,,['tensorflow'],40.0,,https://pypi.org/project/tensorlayer,2022-02-15 02:05:47.000,40.0,2779.0,2799.0,,,,,,,,2.0,1375.0,,,,,,,,,,,,,,,,,,,,\n338,MindsDB,mindsdb/mindsdb,ml-frameworks,,https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,GPL-3.0,2018-08-02 17:56:45.000,2022-05-05 14:06:19.000000,2022-05-05 14:06:15,5465,602.0,681,235.0,1219.0,43.0,863.0,6620,In-Database Machine Learning.,108.0,28,False,2022-04-28 06:50:06.000,22.4.5.0,100.0,mindsdb,,,,['pytorch'],4.0,,https://pypi.org/project/mindsdb,2019-03-19 05:07:23.000,4.0,3772.0,3772.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n339,PyText,facebookresearch/pytext,nlp,,https://github.com/facebookresearch/pytext,https://github.com/facebookresearch/pytext,BSD-3-Clause,2018-07-31 23:40:46.000,2022-04-22 18:45:44.000000,2022-04-22 18:44:14,1708,21.0,804,169.0,1583.0,145.0,74.0,6316,A natural language modeling framework based on PyTorch.,227.0,28,True,2020-06-08 23:30:58.000,0.3.3,13.0,pytext-nlp,,,,['pytorch'],109.0,108.0,https://pypi.org/project/pytext-nlp,2020-06-08 22:49:33.000,1.0,276.0,283.0,,,,,,,,2.0,292.0,,,,,,,,,,,,,,,,,,,,\n340,Apex,NVIDIA/apex,gpu-utilities,,https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000,2022-05-05 00:49:12.000000,2022-04-29 20:28:57,989,70.0,988,94.0,408.0,578.0,411.0,6301,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,92.0,28,True,,,1.0,,conda-forge/nvidia-apex,,,['pytorch'],1001.0,1001.0,,,,,2588.0,https://anaconda.org/conda-forge/nvidia-apex,2022-04-06 03:11:02.383,80237.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n341,NuPIC,numenta/nupic,ml-frameworks,,https://github.com/numenta/nupic,https://github.com/numenta/nupic,AGPL-3.0,2013-04-05 23:14:27.000,2021-03-25 21:39:47.000000,2019-10-23 20:45:07,6625,,1585,633.0,2110.0,456.0,1337.0,6298,\"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..\",121.0,28,False,2018-06-01 15:37:54.000,1.0.5,53.0,nupic,,,,,147.0,109.0,https://pypi.org/project/nupic,2018-06-01 15:37:54.000,38.0,1754.0,1754.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n342,keras-rl,keras-rl/keras-rl,reinforcement-learning,,https://github.com/keras-rl/keras-rl,https://github.com/keras-rl/keras-rl,MIT,2016-07-02 15:53:12.000,2022-01-05 17:17:48.000000,2019-11-11 22:14:54,308,,1323,213.0,154.0,40.0,227.0,5259,Deep Reinforcement Learning for Keras.,40.0,28,False,2018-06-01 07:52:24.000,0.4.2,8.0,keras-rl,,,,['tensorflow'],628.0,575.0,https://pypi.org/project/keras-rl,2018-06-01 07:52:24.000,53.0,1476.0,1476.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n343,kaggle,Kaggle/kaggle-api,ml-experiments,,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000,2022-04-24 17:53:14.000000,2021-03-15 15:49:05,145,,910,177.0,76.0,194.0,146.0,4708,Official Kaggle API.,36.0,28,False,2021-03-13 00:50:03.000,1.5.12,48.0,kaggle,conda-forge/kaggle,,,,324.0,,https://pypi.org/project/kaggle,2021-03-13 00:50:03.000,324.0,127098.0,129365.0,https://anaconda.org/conda-forge/kaggle,2021-12-17 19:19:11.878,81643.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n344,Edward,blei-lab/edward,probabilistics,,https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05.000,2019-10-22 20:30:48.000000,2018-07-25 01:28:08,1796,,767,279.0,437.0,212.0,328.0,4706,\"A probabilistic programming language in TensorFlow. Deep generative models, variational inference.\",87.0,28,False,2018-01-22 06:03:37.000,1.3.5,28.0,edward,,,,['tensorflow'],302.0,262.0,https://pypi.org/project/edward,2018-01-22 06:03:05.000,40.0,1861.0,1861.0,,,,,,,,3.0,15.0,,,,,,,,,,,,,,,,,,,,\n345,Augmentor,mdbloice/Augmentor,image,,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55.000,2022-04-27 12:38:43.000000,2022-04-27 12:38:34,542,5.0,849,127.0,58.0,127.0,71.0,4701,Image augmentation library in Python for machine learning.,22.0,28,True,2022-04-27 09:29:23.000,0.2.10,22.0,Augmentor,,,,,475.0,446.0,https://pypi.org/project/Augmentor,2022-04-27 09:29:23.000,29.0,15940.0,15940.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n346,TensorFlowOnSpark,yahoo/TensorFlowOnSpark,distributed-ml,,https://github.com/yahoo/TensorFlowOnSpark,https://github.com/yahoo/TensorFlowOnSpark,Apache-2.0,2017-01-20 18:15:57.000,2022-04-21 20:08:19.000000,2022-04-21 18:24:14,631,2.0,968,285.0,222.0,7.0,355.0,3783,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,34.0,28,True,2022-04-21 20:41:22.000,2.2.5,32.0,tensorflowonspark,conda-forge/tensorflowonspark,,,\"['tensorflow', 'spark']\",5.0,,https://pypi.org/project/tensorflowonspark,2022-04-21 20:05:56.000,5.0,451912.0,452259.0,https://anaconda.org/conda-forge/tensorflowonspark,2022-03-27 02:58:05.206,10071.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n347,triton,openai/triton,model-serialisation,,https://github.com/openai/triton,https://github.com/openai/triton,MIT,2014-08-30 17:07:16.000,2022-05-05 03:03:37.000000,2022-05-05 03:03:37,458,43.0,284,85.0,299.0,71.0,122.0,3600,Development repository for the Triton language and compiler.,38.0,28,True,2021-10-15 01:19:15.000,1.1.1,116.0,triton,,,,,99.0,96.0,https://pypi.org/project/triton,2022-05-01 00:18:13.000,3.0,57939.0,57939.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n348,vaderSentiment,cjhutto/vaderSentiment,nlp,,https://github.com/cjhutto/vaderSentiment,https://github.com/cjhutto/vaderSentiment,MIT,2014-11-17 16:31:45.000,2022-04-01 13:57:36.000000,2022-04-01 13:57:36,131,4.0,851,141.0,29.0,33.0,75.0,3569,VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based..,11.0,28,True,2020-05-22 15:07:00.000,3.3.2,15.0,vadersentiment,conda-forge/vadersentiment,,,,3939.0,3765.0,https://pypi.org/project/vadersentiment,2020-05-22 15:07:00.000,174.0,210104.0,210709.0,https://anaconda.org/conda-forge/vadersentiment,2021-03-22 07:41:03.629,8477.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n349,pytorch-summary,sksq96/pytorch-summary,pytorch-utils,,https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04.000,2022-03-19 02:15:45.000000,2021-05-10 18:34:53,57,,390,35.0,51.0,118.0,41.0,3512,Model summary in PyTorch similar to `model.summary()` in Keras.,11.0,28,True,2018-09-26 05:07:28.000,1.5.1,12.0,torchsummary,,,,['pytorch'],4979.0,4908.0,https://pypi.org/project/torchsummary,2018-09-26 05:07:28.000,71.0,92942.0,92942.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n350,SynapseML,microsoft/SynapseML,distributed-ml,,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000,2022-05-04 22:27:08.000000,2022-05-04 22:20:57,1117,82.0,640,134.0,962.0,231.0,329.0,3287,Simple and Distributed Machine Learning.,89.0,28,True,2022-01-12 22:50:41.000,0.9.5,23.0,synapseml,,,,,,,https://pypi.org/project/synapseml,2022-01-12 22:50:41.000,,15447.0,15447.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n351,pomegranate,jmschrei/pomegranate,probabilistics,,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000,2022-03-14 08:23:01.000000,2022-02-21 05:08:38,933,3.0,519,102.0,315.0,59.0,610.0,2886,\"Fast, flexible and easy to use probabilistic modelling in Python.\",65.0,28,True,2021-11-19 21:46:05.000,0.14.7,68.0,pomegranate,conda-forge/pomegranate,,,,726.0,680.0,https://pypi.org/project/pomegranate,2022-02-21 06:50:33.000,46.0,31304.0,33761.0,https://anaconda.org/conda-forge/pomegranate,2021-11-16 01:22:35.020,83539.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n352,TextDistance,life4/textdistance,nlp,,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10.000,2022-04-09 15:11:19.000000,2021-11-29 10:29:02,321,,227,59.0,42.0,9.0,,2814,\"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..\",11.0,28,True,2021-10-27 13:15:53.000,4.2.2,22.0,textdistance,conda-forge/textdistance,,,,2164.0,2125.0,https://pypi.org/project/textdistance,2021-10-27 13:15:53.000,39.0,459732.0,461803.0,https://anaconda.org/conda-forge/textdistance,2021-10-27 17:04:18.548,98872.0,,,,,2.0,652.0,,,,,,,,,,,,,,,,,,,,\n353,aubio,aubio/aubio,audio,,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44.000,2022-04-08 08:03:51.000000,2022-01-25 17:32:20,4123,,339,84.0,56.0,131.0,178.0,2688,a library for audio and music analysis.,24.0,28,False,2019-02-27 09:00:43.000,0.4.9,10.0,aubio,conda-forge/aubio,,,,324.0,299.0,https://pypi.org/project/aubio,2019-02-08 11:21:02.000,25.0,1617.0,9759.0,https://anaconda.org/conda-forge/aubio,2022-03-29 03:08:52.036,504809.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n354,GluonTS,awslabs/gluon-ts,time-series-data,,https://github.com/awslabs/gluon-ts,https://github.com/awslabs/gluon-ts,Apache-2.0,2019-05-15 17:17:29.000,2022-05-04 09:59:37.000000,2022-05-04 09:59:37,878,38.0,557,67.0,1048.0,296.0,436.0,2667,Probabilistic time series modeling in Python.,85.0,28,True,2022-04-28 07:30:59.000,0.9.4,48.0,gluonts,anaconda/gluonts,,,['mxnet'],6.0,,https://pypi.org/project/gluonts,2022-04-28 07:32:06.000,6.0,71307.0,71310.0,https://anaconda.org/anaconda/gluonts,2021-10-14 12:53:07.201,22.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n355,eli5,TeamHG-Memex/eli5,interpretability,,https://github.com/TeamHG-Memex/eli5,https://github.com/TeamHG-Memex/eli5,MIT,2016-09-15 01:04:57.000,2022-05-01 15:53:37.000000,2020-01-22 07:39:36,1198,,315,70.0,167.0,153.0,111.0,2526,A library for debugging/inspecting machine learning classifiers and explaining their predictions.,14.0,28,False,2021-01-23 14:25:24.000,0.11.0,28.0,eli5,conda-forge/eli5,,,,68.0,,https://pypi.org/project/eli5,2021-01-23 14:25:24.000,68.0,1338728.0,1340573.0,https://anaconda.org/conda-forge/eli5,2021-01-25 08:24:59.385,110747.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n356,neuralcoref,huggingface/neuralcoref,nlp,,https://github.com/huggingface/neuralcoref,https://github.com/huggingface/neuralcoref,MIT,2017-07-03 13:04:16.000,2022-03-11 12:17:58.000000,2021-06-22 10:51:48,116,,434,92.0,46.0,49.0,253.0,2526,Fast Coreference Resolution in spaCy with Neural Networks.,21.0,28,True,2019-04-08 11:28:27.000,4.0.0,5.0,neuralcoref,conda-forge/neuralcoref,,,,495.0,481.0,https://pypi.org/project/neuralcoref,2019-04-08 09:56:00.000,14.0,132928.0,133340.0,https://anaconda.org/conda-forge/neuralcoref,2020-02-21 22:10:40.453,10988.0,,,,,2.0,379.0,,,,,,,,,,,,,,,,,,,,\n357,pygal,Kozea/pygal,graph,,https://github.com/Kozea/pygal,https://github.com/Kozea/pygal,LGPL-3.0,2011-09-23 10:17:50.000,2022-03-03 16:14:41.000000,2021-11-24 21:04:02,1018,,391,136.0,127.0,177.0,244.0,2464,PYthon svg GrAph plotting Library.,71.0,28,False,2021-11-24 21:07:22.000,3.0.0,75.0,pygal,conda-forge/pygal,,,,628.0,,https://pypi.org/project/pygal,2021-11-24 21:07:22.000,628.0,113251.0,113609.0,https://anaconda.org/conda-forge/pygal,2019-06-04 02:55:56.728,12545.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n358,GluonNLP,dmlc/gluon-nlp,nlp,,https://github.com/dmlc/gluon-nlp,https://github.com/dmlc/gluon-nlp,Apache-2.0,2018-04-04 20:57:13.000,2022-05-02 16:02:52.000000,2021-08-24 19:11:38,840,,519,103.0,1039.0,260.0,296.0,2414,\"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..\",82.0,28,True,2020-08-13 19:17:42.000,0.10.0,26.0,gluonnlp,,,,['mxnet'],807.0,785.0,https://pypi.org/project/gluonnlp,2020-08-13 19:17:42.000,22.0,38683.0,38683.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n359,pytorch-optimizer,jettify/pytorch-optimizer,pytorch-utils,,https://github.com/jettify/pytorch-optimizer,https://github.com/jettify/pytorch-optimizer,Apache-2.0,2020-01-03 03:16:39.000,2022-05-02 10:09:06.000000,2021-11-11 16:56:57,430,,233,33.0,390.0,16.0,28.0,2397,torch-optimizer -- collection of optimizers for Pytorch.,25.0,28,True,2021-10-31 03:00:19.000,0.3.0,21.0,torch_optimizer,conda-forge/torch-optimizer,,,['pytorch'],595.0,572.0,https://pypi.org/project/torch_optimizer,2021-10-31 03:00:19.000,23.0,60213.0,60301.0,https://anaconda.org/conda-forge/torch-optimizer,2021-10-31 17:20:09.384,1152.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n360,MMOCR,open-mmlab/mmocr,ocr,,https://github.com/open-mmlab/mmocr,https://github.com/open-mmlab/mmocr,Apache-2.0,2021-04-07 13:40:21.000,2022-05-05 14:12:35.000000,2022-05-05 09:09:05,517,103.0,419,44.0,496.0,101.0,434.0,2396,\"OpenMMLab Text Detection, Recognition and Understanding Toolbox.\",49.0,28,True,2022-03-31 16:17:15.000,0.5.0,7.0,mmocr,,,,['pytorch'],12.0,11.0,https://pypi.org/project/mmocr,2022-03-31 16:17:15.000,1.0,3175.0,3175.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n361,StellarGraph,stellargraph/stellargraph,graph,,https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51.000,2022-03-12 00:28:06.000000,2021-10-29 06:15:49,2535,,362,61.0,926.0,281.0,736.0,2363,StellarGraph - Machine Learning on Graphs.,36.0,28,True,2020-06-30 05:15:21.000,1.2.1,25.0,stellargraph,,,,['tensorflow'],136.0,131.0,https://pypi.org/project/stellargraph,2020-06-30 05:10:43.000,5.0,13735.0,13735.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n362,Essentia,MTG/essentia,audio,,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000,2022-05-05 14:03:44.000000,2022-04-06 18:17:01,3122,51.0,449,109.0,304.0,362.0,602.0,2105,\"C++ library for audio and music analysis, description and synthesis, including Python bindings.\",74.0,28,False,2015-03-31 16:33:30.000,2.0,13.0,essentia,,,,,302.0,288.0,https://pypi.org/project/essentia,2022-03-14 12:38:50.000,14.0,4994.0,4994.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n363,textacy,chartbeat-labs/textacy,nlp,,https://github.com/chartbeat-labs/textacy,https://github.com/chartbeat-labs/textacy,Apache-2.0,2016-02-03 16:52:45.000,2022-03-06 19:51:43.000000,2022-03-06 19:51:43,1716,2.0,232,89.0,109.0,29.0,222.0,1918,\"NLP, before and after spaCy.\",32.0,28,True,2021-12-06 15:00:07.000,0.12.0,31.0,textacy,conda-forge/textacy,,,,100.0,,https://pypi.org/project/textacy,2021-12-06 15:00:07.000,100.0,36106.0,37850.0,https://anaconda.org/conda-forge/textacy,2022-02-06 16:50:51.205,104687.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n364,mljar-supervised,mljar/mljar-supervised,hyperopt,,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000,2022-04-14 13:02:48.000000,2022-04-14 13:02:48,1005,22.0,270,34.0,47.0,82.0,392.0,1883,\"Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and..\",17.0,28,True,2022-03-02 09:23:54.000,0.11.2,76.0,mljar-supervised,conda-forge/mljar-supervised,,,,47.0,45.0,https://pypi.org/project/mljar-supervised,2022-03-02 09:17:15.000,2.0,10452.0,10582.0,https://anaconda.org/conda-forge/mljar-supervised,2022-03-02 09:53:48.925,1430.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n365,Pillow-SIMD,uploadcare/pillow-simd,image,,https://github.com/uploadcare/pillow-simd,https://github.com/uploadcare/pillow-simd,PIL,2014-11-12 15:33:02.000,2022-03-11 12:26:19.000000,2022-01-17 10:12:52,12562,,77,41.0,43.0,9.0,65.0,1799,The friendly PIL fork.,384.0,28,False,2022-01-02 09:51:23.000,9.0.0,47.0,pillow-simd,,,,,49.0,,https://pypi.org/project/pillow-simd,2022-01-04 16:11:51.000,49.0,48003.0,48003.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n366,PyTextRank,DerwenAI/pytextrank,nlp,,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000,2022-03-23 15:44:04.000000,2022-03-07 19:11:16,438,14.0,323,61.0,129.0,24.0,61.0,1789,Python implementation of TextRank algorithms (textgraphs) for phrase extraction.,18.0,28,True,2022-03-06 22:27:38.000,3.2.3,19.0,pytextrank,,,,,264.0,252.0,https://pypi.org/project/pytextrank,2022-03-06 22:27:38.000,12.0,22311.0,22311.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n367,Alibi,SeldonIO/alibi,interpretability,,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Apache-2.0,2019-02-26 10:10:56.000,2022-05-05 13:28:29.000000,2022-05-04 10:32:40,398,31.0,183,42.0,371.0,118.0,168.0,1590,Algorithms for explaining machine learning models.,18.0,28,True,2022-03-18 15:26:19.000,0.6.5,24.0,alibi,,,,,187.0,164.0,https://pypi.org/project/alibi,2022-03-18 15:25:04.000,23.0,27232.0,27232.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n368,petastorm,uber/petastorm,distributed-ml,,https://github.com/uber/petastorm,https://github.com/uber/petastorm,Apache-2.0,2018-06-15 23:15:29.000,2022-04-28 18:35:11.000000,2022-04-21 03:53:31,672,5.0,236,40.0,481.0,141.0,139.0,1419,Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets..,44.0,28,True,2022-02-19 02:47:30.000,0.11.4,77.0,petastorm,,,,,72.0,66.0,https://pypi.org/project/petastorm,2022-02-19 02:47:30.000,6.0,91816.0,91822.0,,,,,,,,2.0,309.0,,,,,,,,,,,,,,,,,,,,\n369,ogb,snap-stanford/ogb,graph,,https://github.com/snap-stanford/ogb,https://github.com/snap-stanford/ogb,MIT,2019-11-22 22:13:57.000,2022-04-20 09:11:11.000000,2022-04-20 09:11:09,584,5.0,282,37.0,32.0,4.0,202.0,1319,\"Benchmark datasets, data loaders, and evaluators for graph machine learning.\",19.0,28,True,2022-02-23 05:45:04.000,1.3.3,16.0,ogb,conda-forge/ogb,,,,301.0,288.0,https://pypi.org/project/ogb,2022-02-23 05:45:04.000,13.0,12420.0,12794.0,https://anaconda.org/conda-forge/ogb,2022-02-23 11:52:44.440,7489.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n370,TF Recommenders,tensorflow/recommenders,recommender-systems,,https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01.000,2022-04-22 15:11:34.000000,2022-03-30 01:50:32,303,9.0,187,48.0,233.0,150.0,119.0,1297,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,32.0,28,True,2021-08-23 23:29:59.000,0.6.0,12.0,tensorflow-recommenders,,,,['tensorflow'],104.0,103.0,https://pypi.org/project/tensorflow-recommenders,2021-08-23 23:29:59.000,1.0,1012800.0,1012800.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n371,Optimus,hi-primus/optimus,data-pipelines,,https://github.com/hi-primus/optimus,https://github.com/hi-primus/optimus,Apache-2.0,2017-07-13 02:31:18.000,2022-05-04 14:02:33.000000,2022-05-04 14:01:40,6371,153.0,210,39.0,999.0,31.0,196.0,1213,\"Agile Data Preparation Workflows madeeasy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark.\",25.0,28,True,2020-07-19 03:05:40.000,2.2.32,85.0,optimuspyspark,,,,['spark'],,,https://pypi.org/project/optimuspyspark,2019-05-30 02:22:54.000,,114407.0,114407.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n372,gplearn,trevorstephens/gplearn,others,,https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14.000,2022-05-04 12:26:24.517000,2022-05-03 10:51:47,158,10.0,198,50.0,84.0,34.0,154.0,1128,\"Genetic Programming in Python, with a scikit-learn inspired API.\",11.0,28,True,2022-05-03 10:56:08.000,0.4.2,7.0,gplearn,conda-forge/gplearn,,,['sklearn'],253.0,243.0,https://pypi.org/project/gplearn,2022-05-03 10:47:30.000,10.0,4786.0,4880.0,https://anaconda.org/conda-forge/gplearn,2022-05-04 12:26:24.517,2165.0,,,,,2.0,,,4.0,,,,,,,,,,,,,,,,,,\n373,dask-ml,dask/dask-ml,distributed-ml,,https://github.com/dask/dask-ml,https://github.com/dask/dask-ml,BSD-3-Clause,2017-06-15 15:56:06.000,2022-05-02 19:33:31.000000,2022-04-16 13:15:43,798,1.0,220,40.0,488.0,230.0,240.0,799,Scalable Machine Learning with Dask.,72.0,28,True,2022-01-22 13:23:47.000,2022.1.22,33.0,dask-ml,conda-forge/dask-ml,,,,664.0,609.0,https://pypi.org/project/dask-ml,2022-01-22 13:23:47.000,55.0,80848.0,86255.0,https://anaconda.org/conda-forge/dask-ml,2022-01-22 16:40:06.510,297386.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n374,PyNNDescent,lmcinnes/pynndescent,nn-search,,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000,2022-04-25 20:01:09.000000,2022-04-25 20:00:04,578,24.0,82,12.0,76.0,50.0,52.0,614,A Python nearest neighbor descent for approximate nearest neighbors.,19.0,28,True,2022-01-21 03:32:05.000,0.5.6,25.0,pynndescent,conda-forge/pynndescent,,,,1574.0,1549.0,https://pypi.org/project/pynndescent,2022-01-21 03:32:05.000,25.0,1475471.0,1491831.0,https://anaconda.org/conda-forge/pynndescent,2022-01-22 20:10:32.647,572602.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n375,SALib,SALib/SALib,probabilistics,,https://github.com/SALib/SALib,https://github.com/SALib/SALib,MIT,2013-05-30 13:38:10.000,2022-04-19 07:18:49.000000,2022-04-19 07:18:49,1527,9.0,180,21.0,239.0,46.0,229.0,589,\"Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.\",36.0,28,True,2021-09-04 09:49:51.000,1.4.5,41.0,salib,conda-forge/salib,,,,58.0,,https://pypi.org/project/salib,2022-02-06 04:55:37.000,58.0,140175.0,141374.0,https://anaconda.org/conda-forge/salib,2021-09-04 07:03:28.179,79166.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n376,tinytag,devsnd/tinytag,audio,,https://github.com/devsnd/tinytag,https://github.com/devsnd/tinytag,MIT,2014-01-27 15:27:01.000,2022-03-15 11:16:28.000000,2022-03-15 11:16:28,384,34.0,89,23.0,55.0,11.0,78.0,521,\"Read audio and music meta data and duration of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA, Wave and AIFF files with python 2..\",21.0,28,True,2022-03-12 17:51:16.000,1.8.1,37.0,tinytag,,,,,587.0,517.0,https://pypi.org/project/tinytag,2022-03-12 17:51:16.000,70.0,92899.0,92899.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n377,ml-metadata,google/ml-metadata,ml-experiments,,https://github.com/google/ml-metadata,https://github.com/google/ml-metadata,Apache-2.0,2019-01-15 21:02:09.000,2022-05-04 21:14:37.000000,2022-05-04 21:14:36,611,31.0,90,28.0,70.0,23.0,62.0,467,For recording and retrieving metadata associated with ML developer and data scientist workflows.,15.0,28,True,2022-02-28 20:09:07.000,1.7.0,34.0,ml-metadata,,,,,232.0,214.0,https://pypi.org/project/ml-metadata,2022-02-28 20:09:07.000,18.0,668768.0,668813.0,,,,,,,,3.0,1733.0,,,,,,,,,,,,,,,,,,,,\n378,audioread,beetbox/audioread,audio,,https://github.com/beetbox/audioread,https://github.com/beetbox/audioread,MIT,2011-11-08 19:53:18.000,2022-04-10 00:32:17.148000,2021-12-03 18:19:53,251,,93,20.0,44.0,31.0,48.0,396,cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python.,21.0,28,True,2020-10-20 11:23:09.000,2.1.9,25.0,audioread,conda-forge/audioread,,,,8560.0,8235.0,https://pypi.org/project/audioread,2020-10-20 11:23:09.000,325.0,869554.0,875489.0,https://anaconda.org/conda-forge/audioread,2022-04-10 00:32:17.148,415452.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n379,Ciphey,Ciphey/Ciphey,nlp,,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39.000,2022-05-02 03:16:33.000000,2021-11-03 02:20:58,1873,,604,197.0,440.0,51.0,237.0,9785,\"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.\",46.0,27,True,2021-06-06 17:14:16.000,5.14.0,50.0,ciphey,,remnux/ciphey,,,,,https://pypi.org/project/ciphey,2021-06-06 17:13:48.000,,9516.0,9966.0,,,,https://hub.docker.com/r/remnux/ciphey,2022-04-14 13:01:42.621045,6.0,15317.0,3.0,,,,,,,,,,,,,,,,,,,,,\n380,EfficientNet-PyTorch,lukemelas/EfficientNet-PyTorch,pytorch-utils,,https://github.com/lukemelas/EfficientNet-PyTorch,https://github.com/lukemelas/EfficientNet-PyTorch,Apache-2.0,2019-05-30 05:24:11.000,2022-04-08 12:30:25.000000,2021-04-15 15:16:36,162,,1376,131.0,51.0,137.0,138.0,6930,A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!).,24.0,27,False,2021-04-15 15:17:23.000,0.7.1,13.0,efficientnet-pytorch,,,,['pytorch'],30.0,,https://pypi.org/project/efficientnet-pytorch,2021-04-15 15:17:23.000,30.0,320564.0,377086.0,,,,,,,,2.0,1469580.0,,,,,,,,,,,,,,,,,,,,\n381,Trax,google/trax,others,,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000,2022-04-30 09:39:59.000000,2022-04-24 18:29:38,1603,11.0,699,147.0,1537.0,86.0,122.0,6898,Trax Deep Learning with Clear Code and Speed.,77.0,27,True,2021-10-26 20:29:38.000,1.4.1,24.0,trax,,,,,52.0,52.0,https://pypi.org/project/trax,2021-10-26 20:27:35.000,,4261.0,4261.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n382,Facets Overview,pair-code/facets,data-viz,,https://github.com/PAIR-code/facets,https://github.com/PAIR-code/facets,Apache-2.0,2017-07-07 14:03:03.000,2021-11-29 10:48:23.000000,2021-05-06 12:01:05,264,,834,275.0,93.0,76.0,76.0,6841,Visualizations for machine learning datasets.,28.0,27,True,2019-07-24 15:57:06.000,1.0.0,4.0,facets-overview,,,,['jupyter'],116.0,112.0,https://pypi.org/project/facets-overview,2019-07-24 15:57:06.000,4.0,224092.0,224092.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n383,snownlp,isnowfy/snownlp,chinese-nlp,,https://github.com/isnowfy/snownlp,https://github.com/isnowfy/snownlp,MIT,2013-11-26 11:46:56.000,2020-01-19 02:39:05.000000,2020-01-19 02:39:03,57,,1318,351.0,14.0,39.0,65.0,5793,Python library for processing Chinese text.,8.0,27,False,2015-09-27 16:35:23.000,0.12.3,17.0,snownlp,,,,,906.0,867.0,https://pypi.org/project/snownlp,2015-09-27 16:35:23.000,39.0,9782.0,9782.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n384,Face Alignment,1adrianb/face-alignment,image,,https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44.000,2022-03-28 09:19:03.000000,2021-08-04 06:54:21,205,,1173,170.0,39.0,53.0,217.0,5660,2D and 3D Face alignment library build using pytorch.,23.0,27,True,2021-09-14 15:35:24.000,1.3.5,11.0,face-alignment,,,,['pytorch'],8.0,,https://pypi.org/project/face-alignment,2021-09-14 15:35:24.000,8.0,8434.0,8434.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n385,scikit-surprise,NicolasHug/Surprise,recommender-systems,,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38.000,2022-02-02 21:13:06.000000,2020-08-05 17:45:59,622,,905,150.0,66.0,52.0,292.0,5357,A Python scikit for building and analyzing recommender systems.,38.0,27,False,2020-07-19 14:50:48.000,1.1.1,9.0,scikit-surprise,conda-forge/scikit-surprise,,,,26.0,,https://pypi.org/project/scikit-surprise,2020-07-19 14:50:48.000,26.0,176542.0,180784.0,https://anaconda.org/conda-forge/scikit-surprise,2021-11-18 20:15:44.176,220620.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n386,Lucid,tensorflow/lucid,interpretability,,https://github.com/tensorflow/lucid,https://github.com/tensorflow/lucid,Apache-2.0,2018-01-25 17:41:44.000,2022-04-18 14:51:39.000000,2021-03-19 15:48:33,667,,592,160.0,128.0,72.0,100.0,4388,A collection of infrastructure and tools for research in neural network interpretability.,40.0,27,False,2021-03-19 16:01:00.000,0.3.10,17.0,lucid,,,,['tensorflow'],631.0,625.0,https://pypi.org/project/lucid,2021-03-19 16:01:00.000,6.0,1608.0,1608.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n387,T5,google-research/text-to-text-transfer-transformer,nlp,,https://github.com/google-research/text-to-text-transfer-transformer,https://github.com/google-research/text-to-text-transfer-transformer,Apache-2.0,2019-10-17 21:45:14.000,2022-05-05 13:17:00.000000,2022-05-05 13:16:55,556,17.0,571,98.0,529.0,64.0,337.0,4140,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,48.0,27,True,2021-10-18 13:55:26.000,0.9.3,28.0,t5,,,,['tensorflow'],97.0,95.0,https://pypi.org/project/t5,2021-10-18 13:55:26.000,2.0,6244.0,6244.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n388,TensorTrade,tensortrade-org/tensortrade,financial-data,,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32.000,2022-05-02 02:24:32.000000,2022-03-02 13:05:43,1042,60.0,871,231.0,211.0,32.0,194.0,3831,\"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.\",61.0,27,True,2021-05-10 18:04:30.000,1.0.3,27.0,tensortrade,conda-forge/tensortrade,,,,35.0,34.0,https://pypi.org/project/tensortrade,2021-05-10 18:00:35.000,1.0,470.0,548.0,https://anaconda.org/conda-forge/tensortrade,2021-05-10 20:10:14.115,1018.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n389,Alpha Vantage,RomelTorres/alpha_vantage,financial-data,,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00.000,2022-01-04 14:23:20.000000,2021-06-14 05:10:42,518,,637,172.0,76.0,14.0,249.0,3636,A python wrapper for Alpha Vantage API for financial data.,39.0,27,True,2020-12-21 02:37:29.000,2.3.1,28.0,alpha_vantage,conda-forge/alpha_vantage,,,,104.0,,https://pypi.org/project/alpha_vantage,2018-08-26 18:55:11.000,104.0,25264.0,25333.0,https://anaconda.org/conda-forge/alpha_vantage,2021-01-14 18:10:30.064,1114.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n390,BentoML,bentoml/BentoML,model-serialisation,,https://github.com/bentoml/BentoML,https://github.com/bentoml/BentoML,Apache-2.0,2019-04-02 01:39:27.000,2022-05-05 13:59:57.000000,2022-05-04 22:06:05,1607,95.0,390,57.0,1722.0,64.0,524.0,3467,The Unified Model Serving Framework.,104.0,27,True,2021-07-13 10:52:52.000,0.13.1,61.0,bentoml,,,,,2.0,,https://pypi.org/project/bentoml,2022-04-06 09:40:56.000,2.0,16036.0,16070.0,,,,,,,,2.0,1282.0,,,,,,,,,,,,,,,,,,,,\n391,Hummingbird,microsoft/hummingbird,model-serialisation,,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000,2022-05-02 19:54:06.683000,2022-04-27 16:00:52,373,10.0,220,46.0,345.0,48.0,189.0,2807,Hummingbird compiles trained ML models into tensor computation for faster inference.,29.0,27,True,2022-04-25 22:09:52.000,0.4.4,17.0,hummingbird-ml,conda-forge/hummingbird-ml,,,,29.0,29.0,https://pypi.org/project/hummingbird-ml,2022-04-25 22:07:52.000,,1904.0,2398.0,https://anaconda.org/conda-forge/hummingbird-ml,2022-05-02 19:54:06.683,6833.0,,,,,2.0,165.0,,,,,,,,,,,,,,,,,,,,\n392,fastNLP,fastnlp/fastNLP,nlp,,https://github.com/fastnlp/fastNLP,https://github.com/fastnlp/fastNLP,Apache-2.0,2018-03-07 13:30:20.000,2022-05-05 14:43:45.000000,2021-12-06 11:37:15,1769,,411,80.0,224.0,39.0,149.0,2580,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,54.0,27,True,2020-11-06 15:31:29.000,0.6.0,10.0,fastnlp,,,,,77.0,74.0,https://pypi.org/project/fastnlp,2019-02-04 02:35:37.000,3.0,1289.0,1290.0,,,,,,,,3.0,66.0,,,,,,,,,,,,,,,,,,,,\n393,PARL,PaddlePaddle/PARL,reinforcement-learning,,https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22.000,2022-05-05 12:34:58.000000,2022-05-05 12:34:58,431,11.0,687,58.0,507.0,71.0,284.0,2563,A high-performance distributed training framework for Reinforcement Learning.,30.0,27,True,2021-12-30 06:45:32.000,2.0.3,23.0,parl,,,,['paddle'],89.0,89.0,https://pypi.org/project/parl,2021-12-30 06:45:32.000,,818.0,818.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n394,analytics-zoo,intel-analytics/analytics-zoo,distributed-ml,,https://github.com/intel-analytics/analytics-zoo,https://github.com/intel-analytics/analytics-zoo,Apache-2.0,2017-05-05 02:27:30.000,2022-05-04 20:13:06.000000,2022-03-29 10:34:59,3426,6.0,713,103.0,3829.0,560.0,845.0,2496,\"Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray.\",105.0,27,True,2022-01-25 00:20:26.000,0.11.2,310.0,analytics-zoo,,,,['spark'],4.0,3.0,https://pypi.org/project/analytics-zoo,2022-05-04 20:13:06.000,1.0,10239.0,10239.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n395,TF Ranking,tensorflow/ranking,recommender-systems,,https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57.000,2022-04-26 21:33:52.000000,2022-04-26 21:33:51,470,28.0,426,93.0,32.0,50.0,236.0,2469,Learning to Rank in TensorFlow.,28.0,27,True,2021-11-16 23:49:54.000,0.5.0,19.0,tensorflow_ranking,,,,['tensorflow'],11.0,,https://pypi.org/project/tensorflow_ranking,2021-11-16 01:31:58.000,11.0,47327.0,47327.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n396,Mars,mars-project/mars,others,,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03.000,2022-05-05 14:29:29.000000,2022-05-05 11:52:03,1140,122.0,299,86.0,1914.0,174.0,882.0,2400,\"Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and..\",44.0,27,True,2022-04-09 16:24:52.000,0.8.5,111.0,pymars,,,,,1.0,,https://pypi.org/project/pymars,2022-04-09 16:24:52.000,1.0,6797.0,6797.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n397,vidgear,abhiTronix/vidgear,image,,https://github.com/abhiTronix/vidgear,https://github.com/abhiTronix/vidgear,Apache-2.0,2019-03-17 02:42:42.000,2022-02-25 09:34:50.000000,2022-02-11 14:44:37,857,29.0,174,50.0,90.0,1.0,209.0,2208,A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features.,9.0,27,True,2022-02-11 16:12:12.000,0.2.5,17.0,vidgear,,,,,197.0,192.0,https://pypi.org/project/vidgear,2022-02-11 16:12:12.000,5.0,3477.0,3491.0,,,,,,,,3.0,568.0,,,,,,,,,,,,,,,,,,,,\n398,Hyperas,maxpumperla/hyperas,hyperopt,,https://github.com/maxpumperla/hyperas,https://github.com/maxpumperla/hyperas,MIT,2016-02-19 14:45:10.000,2021-11-19 13:23:59.000000,2021-11-19 13:23:56,211,,305,61.0,37.0,93.0,158.0,2125,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,21.0,27,True,2019-02-28 09:16:54.000,0.4.1,9.0,hyperas,,,,['tensorflow'],256.0,232.0,https://pypi.org/project/hyperas,2019-02-28 09:16:54.000,24.0,14740.0,14740.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n399,langid,saffsd/langid.py,nlp,,https://github.com/saffsd/langid.py,https://github.com/saffsd/langid.py,BSD-3-Clause,2011-04-29 00:16:56.000,2020-01-01 10:49:30.000000,2017-07-15 02:49:17,242,,279,65.0,14.0,26.0,45.0,1951,Stand-alone language identification system.,9.0,27,False,2016-04-05 22:34:15.000,1.1.6,8.0,langid,,,,,1149.0,985.0,https://pypi.org/project/langid,2016-04-05 22:34:15.000,164.0,351441.0,351441.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n400,RecBole,RUCAIBox/RecBole,recommender-systems,,https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000,2022-05-05 12:30:23.000000,2022-05-01 05:38:07,3529,103.0,335,38.0,823.0,57.0,334.0,1825,\"A unified, comprehensive and efficient recommendation library.\",45.0,27,True,2022-02-25 13:56:32.000,1.0.1,7.0,recbole,aibox/recbole,,,['pytorch'],,,https://pypi.org/project/recbole,2022-02-25 07:32:53.000,,2982.0,3063.0,https://anaconda.org/aibox/recbole,2022-02-25 14:10:37.696,1468.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n401,IB-insync,erdewit/ib_insync,financial-data,,https://github.com/erdewit/ib_insync,https://github.com/erdewit/ib_insync,BSD-2-Clause,2017-07-12 12:09:24.000,2022-04-28 11:13:03.000000,2022-04-28 11:12:59,641,11.0,480,169.0,61.0,12.0,389.0,1791,Python sync/async framework for Interactive Brokers API.,30.0,27,True,2021-11-28 19:34:09.000,0.9.70,95.0,ib_insync,conda-forge/ib-insync,,,,19.0,,https://pypi.org/project/ib_insync,2021-11-28 19:34:09.000,19.0,6537.0,6983.0,https://anaconda.org/conda-forge/ib-insync,2021-11-29 01:17:29.243,15165.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n402,HyperTools,ContextLab/hypertools,data-viz,,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25.000,2022-02-12 03:29:55.000000,2022-02-12 02:32:06,1636,37.0,157,59.0,65.0,69.0,123.0,1720,A Python toolbox for gaining geometric insights into high-dimensional data.,21.0,27,True,2022-02-12 03:29:55.000,0.8.0,21.0,hypertools,,,,,195.0,185.0,https://pypi.org/project/hypertools,2022-02-12 02:43:24.000,10.0,693.0,693.0,,,,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,,,\n403,sahi,obss/sahi,image,,https://github.com/obss/sahi,https://github.com/obss/sahi,MIT,2021-01-30 12:54:53.000,2022-04-29 13:44:19.000000,2022-04-14 10:58:52,312,25.0,234,31.0,303.0,20.0,126.0,1573,A lightweight vision library for performing large scale object detection/ instance segmentation.,8.0,27,True,2022-04-09 10:13:11.000,0.9.2,74.0,sahi,conda-forge/sahi,,,,52.0,47.0,https://pypi.org/project/sahi,2022-04-09 10:13:38.000,5.0,18105.0,18423.0,https://anaconda.org/conda-forge/sahi,2022-04-09 19:51:59.553,2232.0,,,,,3.0,1.0,,,,,,,,,,,,,,,,,,,,\n404,chainercv,chainer/chainercv,image,,https://github.com/chainer/chainercv,https://github.com/chainer/chainercv,MIT,2017-02-13 04:15:10.000,2021-07-01 16:54:50.000000,2020-01-07 11:48:31,4930,,318,73.0,742.0,54.0,168.0,1475,ChainerCV: a Library for Deep Learning in Computer Vision.,39.0,27,False,2019-06-12 11:55:02.000,0.13.1,24.0,chainercv,,,,,325.0,294.0,https://pypi.org/project/chainercv,2019-06-12 11:55:40.000,31.0,3193.0,3193.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n405,bt,pmorissette/bt,financial-data,,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28.000,2022-04-03 02:11:08.000000,2022-04-03 02:11:08,459,21.0,310,78.0,78.0,55.0,227.0,1369,bt - flexible backtesting for Python.,25.0,27,True,2021-04-21 02:52:26.000,0.2.9,25.0,bt,conda-forge/bt,,,,129.0,108.0,https://pypi.org/project/bt,2021-04-21 02:52:26.000,21.0,4791.0,5093.0,https://anaconda.org/conda-forge/bt,2022-01-18 18:09:55.903,3930.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n406,alibi-detect,SeldonIO/alibi-detect,others,,https://github.com/SeldonIO/alibi-detect,https://github.com/SeldonIO/alibi-detect,Apache-2.0,2019-10-07 13:29:13.000,2022-05-05 13:20:20.000000,2022-04-27 12:18:50,489,34.0,138,34.0,276.0,77.0,154.0,1281,\"Algorithms for outlier, adversarial and drift detection.\",15.0,27,True,2022-04-01 13:40:23.000,0.9.1,24.0,alibi-detect,,,,,95.0,90.0,https://pypi.org/project/alibi-detect,2022-04-01 13:39:54.000,5.0,24660.0,24660.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n407,Paddle Graph Learning,PaddlePaddle/PGL,graph,,https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28.000,2022-05-05 08:26:33.000000,2022-04-21 08:59:16,1083,47.0,222,24.0,291.0,48.0,75.0,1269,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,24.0,27,True,2022-04-21 09:53:00.000,2.2.3post0,18.0,pgl,,,,['paddle'],28.0,26.0,https://pypi.org/project/pgl,2022-04-21 08:39:32.000,2.0,8648.0,8648.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n408,fairlearn,fairlearn/fairlearn,interpretability,,https://github.com/fairlearn/fairlearn,https://github.com/fairlearn/fairlearn,MIT,2018-05-15 01:51:35.000,2022-05-03 15:10:16.000000,2022-04-28 15:03:24,695,29.0,297,33.0,698.0,139.0,208.0,1268,A Python package to assess and improve fairness of machine learning models.,66.0,27,True,2021-07-07 08:16:09.000,0.7.0,16.0,fairlearn,conda-forge/fairlearn,,,['sklearn'],9.0,,https://pypi.org/project/fairlearn,2021-07-07 05:54:23.000,9.0,71408.0,72060.0,https://anaconda.org/conda-forge/fairlearn,2021-07-07 15:56:16.605,17608.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n409,pycm,sepandhaghighi/pycm,others,,https://github.com/sepandhaghighi/pycm,https://github.com/sepandhaghighi/pycm,MIT,2018-01-22 19:46:54.000,2022-04-27 17:22:10.000000,2022-04-27 15:01:18,2962,17.0,107,35.0,253.0,11.0,171.0,1237,Multi-class confusion matrix library in Python.,17.0,27,True,2022-04-27 15:18:08.000,3.5,39.0,pycm,,,,,154.0,141.0,https://pypi.org/project/pycm,2022-04-27 15:18:44.000,13.0,33888.0,33888.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n410,explainerdashboard,oegedijk/explainerdashboard,interpretability,,https://github.com/oegedijk/explainerdashboard,https://github.com/oegedijk/explainerdashboard,MIT,2019-10-30 08:26:16.000,2022-05-05 14:36:52.000000,2022-05-05 13:19:16,1245,20.0,150,14.0,32.0,21.0,164.0,1203,Quickly build Explainable AI dashboards that show the inner workings of so-called blackbox machine learning models.,14.0,27,True,2022-04-02 19:42:24.000,0.3.8.2,81.0,explainerdashboard,conda-forge/explainerdashboard,,,,103.0,101.0,https://pypi.org/project/explainerdashboard,2022-04-02 19:53:01.000,2.0,32022.0,32916.0,https://anaconda.org/conda-forge/explainerdashboard,2022-02-15 19:55:55.299,15211.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n411,Opacus,pytorch/opacus,privacy-ml,,https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000,2022-05-05 00:15:56.000000,2022-05-05 00:14:56,613,34.0,192,41.0,252.0,43.0,138.0,1136,Training PyTorch models with differential privacy.,48.0,27,True,2022-04-08 18:56:02.000,1.1.1,15.0,opacus,conda-forge/opacus,,,['pytorch'],112.0,101.0,https://pypi.org/project/opacus,2022-04-08 18:56:02.000,11.0,4681.0,4805.0,https://anaconda.org/conda-forge/opacus,2022-04-08 22:03:01.451,493.0,,,,,2.0,45.0,,,,,,,,,,,,,,,,,,,,\n412,spacy-transformers,explosion/spacy-transformers,nlp,,https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000,2022-05-04 17:37:17.000000,2022-05-04 17:37:17,1391,4.0,139,29.0,158.0,,,1106,\"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.\",18.0,27,True,2022-03-15 08:06:32.000,1.1.5,59.0,spacy-transformers,conda-forge/spacy-transformers,,,['spacy'],509.0,492.0,https://pypi.org/project/spacy-transformers,2022-03-15 08:05:56.000,17.0,99280.0,99459.0,https://anaconda.org/conda-forge/spacy-transformers,2022-03-15 09:42:03.045,1075.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n413,minisom,JustGlowing/minisom,others,,https://github.com/JustGlowing/minisom,https://github.com/JustGlowing/minisom,CC-BY-3.0,2013-07-03 10:10:06.000,2022-04-27 08:52:13.000000,2022-03-16 16:00:51,484,16.0,329,31.0,38.0,10.0,91.0,1060,MiniSom is a minimalistic implementation of the Self Organizing Maps.,25.0,27,False,2022-02-25 07:50:44.000,2.3.0,2.0,minisom,,,,,264.0,259.0,https://pypi.org/project/minisom,2022-02-25 07:34:51.000,5.0,14112.0,14112.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n414,pyclustering,annoviko/pyclustering,others,,https://github.com/annoviko/pyclustering,https://github.com/annoviko/pyclustering,BSD-3-Clause,2014-02-25 18:59:03.000,2022-04-08 00:39:29.000000,2021-02-12 19:04:59,2079,,223,40.0,34.0,58.0,589.0,953,\"pyclustring is a Python, C++ data mining library.\",26.0,27,False,2020-11-25 22:33:07.000,0.10.1.2,46.0,pyclustering,conda-forge/pyclustering,,,,340.0,312.0,https://pypi.org/project/pyclustering,2020-11-25 22:41:20.000,28.0,57006.0,58233.0,https://anaconda.org/conda-forge/pyclustering,2021-09-13 14:29:08.300,35429.0,,,,,3.0,405.0,,,,,,,,,,,,,,,,,,,,\n415,pythreejs,jupyter-widgets/pythreejs,data-viz,,https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,BSD-3-Clause,2013-12-23 17:02:11.000,2022-04-21 23:39:08.000000,2021-12-06 21:48:19,1667,,175,41.0,164.0,73.0,144.0,808,A Jupyter - Three.js bridge.,29.0,27,True,2021-02-26 14:01:21.000,2.3.0,43.0,pythreejs,conda-forge/pythreejs,,,['jupyter'],64.0,19.0,https://pypi.org/project/pythreejs,2021-02-26 14:01:21.000,38.0,50271.0,60764.0,https://anaconda.org/conda-forge/pythreejs,2021-03-02 13:32:39.505,378297.0,,,,,3.0,,,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,2021-02-26 13:59:06.062,7.0,5239.0,,,,,,,,,,,,,\n416,Sentinelsat,sentinelsat/sentinelsat,geospatial-data,,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26.000,2022-01-06 09:30:10.449000,2022-01-05 19:57:41,1116,,204,58.0,238.0,14.0,310.0,748,Search and download Copernicus Sentinel satellite images.,42.0,27,False,2022-01-05 19:58:27.000,1.1.1,40.0,sentinelsat,conda-forge/sentinelsat,,,,333.0,303.0,https://pypi.org/project/sentinelsat,2022-01-05 19:58:27.000,30.0,12217.0,12536.0,https://anaconda.org/conda-forge/sentinelsat,2022-01-06 09:30:10.449,6009.0,,,,,3.0,228.0,,,,,,,,,,,,,,,,,,,,\n417,mpi4py,mpi4py/mpi4py,distributed-ml,,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-2-Clause,2013-09-05 14:44:25.000,2022-05-05 12:06:17.000000,2022-05-05 12:06:16,2523,66.0,77,12.0,99.0,13.0,62.0,531,Python bindings for MPI.,20.0,27,True,2021-11-25 21:07:13.000,3.1.3,20.0,mpi4py,conda-forge/mpi4py,,,,582.0,,https://pypi.org/project/mpi4py,2021-12-15 13:48:39.969,582.0,148882.0,164519.0,https://anaconda.org/conda-forge/mpi4py,2022-04-04 08:04:09.204,1049307.0,,,,,3.0,4557.0,,,,,,,,,,,,,,,,,,,,\n418,Orion,Epistimio/orion,hyperopt,,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21.000,2022-05-04 15:05:59.000000,2022-05-03 23:10:58,3236,117.0,44,13.0,566.0,177.0,159.0,226,Asynchronous Distributed Hyperparameter Optimization.,27.0,27,False,2022-03-07 19:03:38.000,0.2.3,22.0,orion,,,,,70.0,64.0,https://pypi.org/project/orion,2022-03-07 19:03:38.000,6.0,3635.0,3635.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n419,cortex,cortexlabs/cortex,model-serialisation,,https://github.com/cortexlabs/cortex,https://github.com/cortexlabs/cortex,Apache-2.0,2019-01-24 04:43:14.000,2022-04-24 20:38:41.000000,2022-04-23 04:02:53,2321,8.0,588,149.0,1345.0,106.0,983.0,7749,Production infrastructure for machine learning at scale.,24.0,26,True,2022-01-10 17:48:15.000,0.42.0,62.0,cortex,,,,,1.0,,https://pypi.org/project/cortex,2022-01-10 17:37:01.000,1.0,1881.0,1881.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n420,english-words,dwyl/english-words,nlp,,https://github.com/dwyl/english-words,https://github.com/dwyl/english-words,Unlicense,2014-07-13 22:20:45.000,2022-04-21 05:04:38.000000,2022-04-20 08:17:18,89,4.0,1389,187.0,55.0,60.0,29.0,7081,A text file containing 479k English words for all your dictionary/word-based projects e.g: auto-completion /..,27.0,26,True,2022-01-29 05:49:51.000,1.1.0,7.0,english-words,,,,,6.0,,https://pypi.org/project/english-words,2022-01-29 05:49:51.000,6.0,23125.0,23125.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n421,FATE,FederatedAI/FATE,privacy-ml,,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000,2022-05-03 02:55:47.000000,2022-04-15 10:35:39,10410,339.0,1257,138.0,2747.0,390.0,793.0,4206,An Industrial Grade Federated Learning Framework.,74.0,26,True,2022-04-18 14:23:38.000,1.8.0,34.0,ETAF,,,,,,,https://pypi.org/project/ETAF,2020-05-06 09:35:40.000,,2.0,2.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n422,cleanlab,cleanlab/cleanlab,others,,https://github.com/cleanlab/cleanlab,https://github.com/cleanlab/cleanlab,AGPL-3.0,2018-05-11 01:55:21.000,2022-05-05 07:32:19.000000,2022-05-05 07:32:19,925,221.0,309,59.0,132.0,28.0,81.0,3286,\"The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.\",12.0,26,False,2022-04-20 21:15:28.000,2.0.0,17.0,cleanlab,conda-forge/cleanlab,,,,37.0,35.0,https://pypi.org/project/cleanlab,2022-04-20 21:15:28.000,2.0,7265.0,7410.0,https://anaconda.org/conda-forge/cleanlab,2022-04-30 16:01:09.036,3635.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n423,layout-parser,Layout-Parser/layout-parser,image,,https://github.com/Layout-Parser/layout-parser,https://github.com/Layout-Parser/layout-parser,Apache-2.0,2020-06-10 20:22:54.000,2022-04-06 04:38:09.000000,2022-04-05 20:55:12,181,10.0,281,55.0,43.0,43.0,48.0,2959,A Unified Toolkit for Deep Learning Based Document Image Analysis.,8.0,26,True,2022-04-06 04:38:09.000,0.3.4,11.0,layoutparser,,,,,66.0,64.0,https://pypi.org/project/layoutparser,2022-04-06 04:38:09.000,2.0,5534.0,5534.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n424,SHOGUN,shogun-toolbox/shogun,ml-frameworks,,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32.000,2022-01-18 22:03:55.000000,2020-12-08 16:56:38,17588,,1047,216.0,3648.0,437.0,1102.0,2879,Unified and efficient Machine Learning.,248.0,26,False,2019-07-05 10:23:31.000,shogun_6.1.4,10.0,,conda-forge/shogun,shogun/shogun,,,,,,,,,1932.0,https://anaconda.org/conda-forge/shogun,2018-06-25 20:49:17.070,111463.0,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1482.0,3.0,,,,,,,,,,shogun,,,,,,,,,,,\n425,Porcupine,Picovoice/Porcupine,audio,,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000,2022-05-03 17:30:25.000000,2022-05-03 17:30:25,709,36.0,389,61.0,332.0,2.0,373.0,2704,On-device wake word detection powered by deep learning.,31.0,26,True,2022-03-11 18:18:10.000,2.1.2,27.0,pvporcupine,,,,,17.0,9.0,https://pypi.org/project/pvporcupine,2022-03-11 18:18:10.000,8.0,1092.0,1092.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n426,Alphalens,quantopian/alphalens,financial-data,,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15.000,2021-12-05 06:35:06.000000,2020-04-27 18:40:41,522,,878,163.0,213.0,42.0,145.0,2269,Performance analysis of predictive (alpha) stock factors.,25.0,26,False,2020-04-30 15:42:52.000,0.4.0,10.0,alphalens,conda-forge/alphalens,,,,552.0,535.0,https://pypi.org/project/alphalens,2020-04-27 21:03:10.000,17.0,4311.0,4598.0,https://anaconda.org/conda-forge/alphalens,2020-05-16 13:52:44.922,14667.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n427,scikit-plot,reiinakano/scikit-plot,interpretability,,https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59.000,2021-08-11 23:58:11.000000,2018-08-19 12:37:47,130,,256,65.0,57.0,21.0,39.0,2203,An intuitive library to add plotting functionality to scikit-learn objects.,13.0,26,False,2018-08-19 12:21:01.000,0.3.7,27.0,scikit-plot,conda-forge/scikit-plot,,,['sklearn'],1984.0,1944.0,https://pypi.org/project/scikit-plot,2018-08-19 12:18:46.000,40.0,367999.0,369889.0,https://anaconda.org/conda-forge/scikit-plot,2019-06-05 14:23:59.043,109634.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n428,DDSP,magenta/ddsp,audio,,https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27.000,2022-05-04 16:44:19.000000,2022-05-04 16:44:14,454,27.0,244,62.0,295.0,22.0,112.0,2137,DDSP: Differentiable Digital Signal Processing.,31.0,26,True,2022-04-22 17:11:55.000,3.4.0,48.0,ddsp,conda-forge/ddsp,,,['tensorflow'],25.0,24.0,https://pypi.org/project/ddsp,2022-05-03 21:42:02.000,1.0,2917.0,3373.0,https://anaconda.org/conda-forge/ddsp,2020-06-08 12:59:15.975,10499.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n429,m2cgen,BayesWitnesses/m2cgen,model-serialisation,,https://github.com/BayesWitnesses/m2cgen,https://github.com/BayesWitnesses/m2cgen,MIT,2019-01-13 02:32:55.000,2022-04-27 23:59:28.000000,2022-04-26 01:26:41,358,19.0,190,46.0,429.0,24.0,66.0,2088,\"Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart,..\",13.0,26,True,2022-04-26 01:24:34.000,0.10.0,13.0,m2cgen,,,,,34.0,31.0,https://pypi.org/project/m2cgen,2022-04-26 01:24:34.000,3.0,39794.0,39794.0,,,,,,,,3.0,10.0,,,,,,,,,,,,,,,,,,,,\n430,Spektral,danielegrattarola/spektral,graph,,https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10.000,2022-04-09 13:44:22.000000,2022-04-09 12:47:04,1061,20.0,284,45.0,46.0,43.0,180.0,2052,Graph Neural Networks with Keras and Tensorflow 2.,20.0,26,True,2022-04-09 13:44:22.000,1.1,32.0,spektral,,,,['tensorflow'],123.0,121.0,https://pypi.org/project/spektral,2022-04-09 13:00:34.000,2.0,5369.0,5369.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n431,PyFunctional,EntilZha/PyFunctional,data-pipelines,,https://github.com/EntilZha/PyFunctional,https://github.com/EntilZha/PyFunctional,MIT,2015-02-05 17:17:51.000,2021-11-26 14:50:52.000000,2021-11-05 18:58:53,520,,109,53.0,43.0,7.0,120.0,2006,Python library for creating data pipelines with chain functional programming.,25.0,26,True,2021-01-12 19:21:07.000,1.4.3,14.0,pyfunctional,,,,,442.0,430.0,https://pypi.org/project/pyfunctional,2021-01-12 19:14:48.000,12.0,92441.0,92441.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n432,efficientnet,qubvel/efficientnet,tensorflow-utils,,https://github.com/qubvel/efficientnet,https://github.com/qubvel/efficientnet,Apache-2.0,2019-05-30 20:21:09.000,2022-01-14 10:29:02.172000,2021-07-16 09:03:20,66,,446,37.0,41.0,59.0,57.0,1967,Implementation of EfficientNet model. Keras and TensorFlow Keras.,10.0,26,True,2020-09-15 16:26:00.000,1.1.1,9.0,efficientnet,anaconda/efficientnet,,,['tensorflow'],990.0,983.0,https://pypi.org/project/efficientnet,2020-09-15 16:26:00.000,7.0,100912.0,107415.0,https://anaconda.org/anaconda/efficientnet,2022-01-14 10:29:02.172,38.0,,,,,3.0,234048.0,,,,,,,,,,,,,,,,,,,,\n433,mtcnn,ipazc/mtcnn,image,,https://github.com/ipazc/mtcnn,https://github.com/ipazc/mtcnn,MIT,2018-01-05 04:08:32.000,2022-03-02 10:05:52.000000,2021-07-09 11:06:18,56,,449,41.0,22.0,62.0,38.0,1767,\"MTCNN face detection implementation for TensorFlow, as a PIP package.\",15.0,26,True,2021-07-09 11:16:39.000,0.1.1,11.0,mtcnn,conda-forge/mtcnn,,,['tensorflow'],2232.0,2189.0,https://pypi.org/project/mtcnn,2021-07-09 11:16:39.000,43.0,26403.0,26573.0,https://anaconda.org/conda-forge/mtcnn,2021-08-17 17:36:21.436,4611.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n434,Neural Tangents,google/neural-tangents,ml-frameworks,,https://github.com/google/neural-tangents,https://github.com/google/neural-tangents,Apache-2.0,2019-04-08 16:48:48.000,2022-04-13 01:50:50.000000,2022-04-13 01:50:46,492,53.0,195,63.0,26.0,38.0,77.0,1755,Fast and Easy Infinite Neural Networks in Python.,22.0,26,True,2022-02-23 16:58:57.000,0.5.0,25.0,neural-tangents,,,,,35.0,34.0,https://pypi.org/project/neural-tangents,2022-02-23 16:56:29.000,1.0,713.0,723.0,,,,,,,,3.0,231.0,,,,,,,,,,,,,,,,,,,,\n435,TensorFlow Privacy,tensorflow/privacy,privacy-ml,,https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000,2022-05-04 16:54:22.000000,2022-04-29 18:36:47,667,60.0,349,61.0,86.0,66.0,87.0,1600,Library for training machine learning models with privacy for training data.,46.0,26,True,2022-02-22 20:37:34.000,.0.8.0,18.0,tensorflow-privacy,,,,['tensorflow'],7.0,,https://pypi.org/project/tensorflow-privacy,2022-02-22 20:33:28.000,7.0,31663.0,31665.0,,,,,,,,2.0,70.0,,,,,,,,,,,,,,,,,,,,\n436,pygraphistry,graphistry/pygraphistry,graph,,https://github.com/graphistry/pygraphistry,https://github.com/graphistry/pygraphistry,BSD-3-Clause,2015-06-02 20:28:42.000,2022-05-04 15:31:10.000000,2022-05-01 08:21:06,836,19.0,161,45.0,137.0,87.0,119.0,1595,\"PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated..\",20.0,26,True,2022-05-01 08:22:54.000,0.25.0,138.0,graphistry,,,,['jupyter'],73.0,69.0,https://pypi.org/project/graphistry,2022-05-01 08:22:54.000,4.0,2638.0,2638.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n437,lightly,lightly-ai/lightly,image,,https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000,2022-05-05 09:43:08.000000,2022-05-03 12:46:31,695,81.0,119,25.0,472.0,62.0,256.0,1572,A python library for self-supervised learning on images.,17.0,26,True,2022-05-03 12:18:06.000,1.2.14,50.0,lightly,,,,['pytorch'],37.0,36.0,https://pypi.org/project/lightly,2022-05-03 12:20:07.000,1.0,2508.0,2508.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n438,Elephas,maxpumperla/elephas,distributed-ml,,https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19.000,2022-03-30 23:25:17.000000,2022-03-30 23:22:31,502,1.0,299,104.0,46.0,18.0,138.0,1542,Distributed Deep learning with Keras & Spark.,27.0,26,True,2022-03-30 23:25:17.000,3.1.0,23.0,elephas,conda-forge/elephas,,,\"['keras', 'spark']\",58.0,55.0,https://pypi.org/project/elephas,2022-03-30 23:25:17.000,3.0,53235.0,53477.0,https://anaconda.org/conda-forge/elephas,2021-06-02 18:33:53.270,8004.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n439,streamparse,Parsely/streamparse,data-pipelines,,https://github.com/Parsely/streamparse,https://github.com/Parsely/streamparse,Apache-2.0,2014-05-02 20:33:50.000,2022-01-10 21:46:17.000000,2022-01-10 21:42:18,1069,,217,102.0,167.0,70.0,263.0,1458,\"Run Python in Apache Storm topologies. Pythonic API, CLI tooling, and a topology DSL.\",42.0,26,True,2022-01-10 21:46:17.000,4.1.2,50.0,streamparse,,,,,81.0,54.0,https://pypi.org/project/streamparse,2022-01-10 21:43:49.000,27.0,3771.0,3771.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n440,Orbit,uber/orbit,probabilistics,,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000,2022-04-28 21:52:35.000000,2022-04-28 21:50:42,826,47.0,94,28.0,386.0,61.0,305.0,1363,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,16.0,26,True,2022-04-28 21:45:14.000,1.1.2,19.0,orbit-ml,,,,,7.0,6.0,https://pypi.org/project/orbit-ml,2022-04-28 21:46:38.000,1.0,12331.0,12331.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n441,Mesh,tensorflow/mesh,distributed-ml,,https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34.000,2022-03-25 22:02:09.000000,2022-03-25 22:02:03,650,4.0,206,40.0,301.0,88.0,14.0,1248,Mesh TensorFlow: Model Parallelism Made Easier.,47.0,26,True,2021-03-24 19:03:46.000,0.1.19,25.0,mesh-tensorflow,,,,['tensorflow'],705.0,673.0,https://pypi.org/project/mesh-tensorflow,2021-03-24 19:03:46.000,32.0,18559.0,18559.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n442,metric-learn,scikit-learn-contrib/metric-learn,others,,https://github.com/scikit-learn-contrib/metric-learn,https://github.com/scikit-learn-contrib/metric-learn,MIT,2013-11-02 08:29:47.000,2022-04-07 21:15:18.000000,2022-03-11 06:00:21,281,1.0,217,49.0,180.0,52.0,117.0,1235,Metric learning algorithms in Python.,22.0,26,True,2020-07-02 12:59:23.000,0.6.2,10.0,metric-learn,conda-forge/metric-learn,,,['sklearn'],212.0,201.0,https://pypi.org/project/metric-learn,2020-07-02 12:59:23.000,11.0,14957.0,15171.0,https://anaconda.org/conda-forge/metric-learn,2020-07-02 13:51:25.681,5584.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n443,arq,samuelcolvin/arq,data-pipelines,,https://github.com/samuelcolvin/arq,https://github.com/samuelcolvin/arq,MIT,2016-07-21 18:24:42.000,2022-05-04 10:52:30.000000,2022-03-28 11:37:46,328,10.0,98,25.0,170.0,36.0,100.0,1182,Fast job queuing and RPC in python with asyncio and redis.,39.0,26,True,2021-09-02 12:45:02.000,0.22,56.0,arq,conda-forge/arq,,,,231.0,220.0,https://pypi.org/project/arq,2022-03-09 17:53:27.000,11.0,20938.0,21097.0,https://anaconda.org/conda-forge/arq,2021-09-03 10:08:17.446,2075.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n444,livelossplot,stared/livelossplot,ml-experiments,,https://github.com/stared/livelossplot,https://github.com/stared/livelossplot,MIT,2018-03-10 17:51:43.000,2022-04-05 08:01:28.000000,2022-04-04 16:13:36,330,2.0,141,27.0,62.0,4.0,70.0,1177,\"Live training loss plot in Jupyter Notebook for Keras, PyTorch and others.\",17.0,26,True,2022-04-04 16:14:08.000,0.5.5,25.0,livelossplot,,,,['jupyter'],792.0,781.0,https://pypi.org/project/livelossplot,2022-04-04 16:14:08.000,11.0,66646.0,66646.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n445,ffn,pmorissette/ffn,financial-data,,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09.000,2022-02-25 16:01:47.000000,2022-02-25 16:01:47,356,5.0,204,56.0,66.0,16.0,80.0,1127,ffn - a financial function library for Python.,26.0,26,True,2021-04-21 02:47:21.000,0.3.6,27.0,ffn,conda-forge/ffn,,,,217.0,192.0,https://pypi.org/project/ffn,2021-04-21 02:47:21.000,25.0,29427.0,29487.0,https://anaconda.org/conda-forge/ffn,2021-04-22 14:02:56.125,786.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n446,PySAL,pysal/pysal,geospatial-data,,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42.000,2022-01-31 17:47:09.921000,2022-01-30 22:27:10,4173,,273,79.0,624.0,11.0,598.0,1012,PySAL: Python Spatial Analysis Library Meta-Package.,75.0,26,True,2022-01-30 19:38:41.000,2.6.0,28.0,pysal,conda-forge/pysal,,,,30.0,,https://pypi.org/project/pysal,2022-01-30 19:38:41.000,30.0,18105.0,24338.0,https://anaconda.org/conda-forge/pysal,2022-01-31 17:47:09.921,436354.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n447,openTSNE,pavlin-policar/openTSNE,data-viz,,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000,2022-03-18 13:53:43.000000,2022-03-18 13:03:22,603,25.0,119,25.0,107.0,3.0,100.0,982,\"Extensible, parallel implementations of t-SNE.\",10.0,26,True,2022-03-18 13:55:30.000,0.6.2,23.0,opentsne,conda-forge/opentsne,,,,333.0,324.0,https://pypi.org/project/opentsne,2022-03-18 13:53:43.000,9.0,17441.0,20730.0,https://anaconda.org/conda-forge/opentsne,2021-11-13 15:59:24.399,134872.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n448,Neural Structured Learning,tensorflow/neural-structured-learning,tensorflow-utils,,https://github.com/tensorflow/neural-structured-learning,https://github.com/tensorflow/neural-structured-learning,Apache-2.0,2019-08-27 21:48:16.000,2022-03-24 03:12:11.000000,2022-03-24 03:12:07,512,7.0,167,44.0,52.0,3.0,58.0,917,Training neural models with structured signals.,33.0,26,True,2020-08-18 00:35:35.000,1.3.1,7.0,neural-structured-learning,,,,['tensorflow'],221.0,219.0,https://pypi.org/project/neural-structured-learning,2020-08-18 00:35:35.000,2.0,15108.0,15108.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n449,empyrical,quantopian/empyrical,financial-data,,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52.000,2020-10-14 13:28:13.625000,2020-10-14 13:22:39,167,,284,71.0,83.0,27.0,26.0,915,Common financial risk and performance metrics. Used by zipline and pyfolio.,22.0,26,False,2020-10-13 21:29:19.000,0.5.5,21.0,empyrical,conda-forge/empyrical,,,,1003.0,869.0,https://pypi.org/project/empyrical,2020-10-13 21:29:19.000,134.0,26587.0,26894.0,https://anaconda.org/conda-forge/empyrical,2020-10-14 13:28:13.625,15659.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n450,avalanche,ContinualAI/avalanche,others,,https://github.com/ContinualAI/avalanche,https://github.com/ContinualAI/avalanche,MIT,2020-03-05 11:32:13.000,2022-05-05 10:44:38.000000,2022-05-05 10:44:38,2591,225.0,141,27.0,369.0,71.0,434.0,889,Avalanche: an End-to-End Library for Continual Learning based on PyTorch.,55.0,26,True,2021-12-16 14:35:52.000,0.1.0,2.0,avalanche-lib,,,,,9.0,9.0,https://pypi.org/project/avalanche-lib,2021-12-16 14:35:52.000,,534.0,534.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n451,GPyOpt,SheffieldML/GPyOpt,hyperopt,,https://github.com/SheffieldML/GPyOpt,https://github.com/SheffieldML/GPyOpt,BSD-3-Clause,2014-08-13 09:58:25.000,2020-11-17 10:32:02.000000,2020-11-05 15:16:04,514,,243,42.0,72.0,100.0,186.0,812,Gaussian Process Optimization using GPy.,49.0,26,False,2020-03-19 21:21:18.000,1.2.6,11.0,gpyopt,,,,,311.0,279.0,https://pypi.org/project/gpyopt,2020-03-19 11:37:45.000,32.0,13476.0,13476.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n452,mahotas,luispedro/mahotas,image,,https://github.com/luispedro/mahotas,https://github.com/luispedro/mahotas,MIT,2010-01-31 00:13:06.000,2021-12-07 00:42:53.000000,2021-12-07 00:42:43,1286,,141,46.0,53.0,16.0,61.0,744,Computer Vision in Python.,32.0,26,True,2021-10-14 12:53:24.000,1.4.12,58.0,mahotas,conda-forge/mahotas,,,,918.0,807.0,https://pypi.org/project/mahotas,2021-10-14 12:53:24.000,111.0,11483.0,15743.0,https://anaconda.org/conda-forge/mahotas,2021-11-17 20:03:30.117,315278.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n453,lets-plot,JetBrains/lets-plot,data-viz,,https://github.com/JetBrains/lets-plot,https://github.com/JetBrains/lets-plot,MIT,2019-03-20 16:13:03.000,2022-05-05 10:48:16.000000,2022-05-04 16:01:47,2484,116.0,33,132.0,294.0,72.0,172.0,737,An open-source plotting library for statistical data.,16.0,26,True,2022-03-21 18:58:35.000,2.3.0,48.0,lets-plot,,,,,17.0,16.0,https://pypi.org/project/lets-plot,2022-03-21 18:18:47.000,1.0,1304.0,1312.0,,,,,,,,3.0,261.0,,,,,,,,,,,,,,,,,,,,\n454,SMAC3,automl/SMAC3,hyperopt,,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-1-Clause,2016-08-17 10:58:05.000,2022-05-05 13:04:35.083000,2022-05-05 08:40:54,2052,4.0,170,41.0,468.0,75.0,295.0,688,Sequential Model-based Algorithm Configuration.,38.0,26,False,2022-05-05 08:44:54.000,1.3.2,37.0,smac,conda-forge/smac,,,,35.0,,https://pypi.org/project/smac,2022-04-22 09:42:22.000,35.0,38120.0,38309.0,https://anaconda.org/conda-forge/smac,2022-05-05 13:04:35.083,2648.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n455,CellProfiler,CellProfiler/CellProfiler,image,,https://github.com/CellProfiler/CellProfiler,https://github.com/CellProfiler/CellProfiler,BSD-3-Clause,2011-04-05 12:10:12.000,2022-05-03 15:48:58.000000,2022-03-15 15:01:24,15386,14.0,308,46.0,1491.0,209.0,2844.0,666,An open-source application for biological image analysis.,128.0,26,True,2021-07-22 19:01:42.000,4.2.1,43.0,cellprofiler,,,,,8.0,8.0,https://pypi.org/project/cellprofiler,2017-09-04 18:03:36.000,,592.0,617.0,,,,,,,,3.0,2598.0,,,,,,,,,,,,,,,,,,,,\n456,Cornac,PreferredAI/cornac,recommender-systems,,https://github.com/PreferredAI/cornac,https://github.com/PreferredAI/cornac,Apache-2.0,2018-07-17 06:31:35.000,2022-04-29 17:24:26.000000,2022-04-29 17:24:25,1233,3.0,92,23.0,382.0,4.0,88.0,570,A Comparative Framework for Multimodal Recommender Systems.,13.0,26,True,2022-02-19 03:37:13.000,1.14.2,46.0,cornac,conda-forge/cornac,,,,118.0,103.0,https://pypi.org/project/cornac,2022-02-19 03:50:02.000,15.0,103544.0,109460.0,https://anaconda.org/conda-forge/cornac,2022-02-19 07:51:09.542,212992.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n457,responsible-ai-widgets,microsoft/responsible-ai-toolbox,interpretability,,https://github.com/microsoft/responsible-ai-toolbox,https://github.com/microsoft/responsible-ai-toolbox,MIT,2020-07-06 20:46:53.000,2022-05-05 03:45:58.000000,2022-05-03 19:53:57,1017,158.0,113,16.0,1145.0,53.0,207.0,480,\"This project provides responsible AI user interfaces for Fairlearn, interpret-community, and Error Analysis, as well..\",24.0,26,True,2022-04-20 18:57:09.000,0.18.0,33.0,raiwidgets,,,,\"['pytorch', 'tensorflow', 'jupyter']\",30.0,27.0,https://pypi.org/project/raiwidgets,2022-04-20 18:25:15.000,3.0,10600.0,10600.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n458,GeoViews,holoviz/geoviews,geospatial-data,,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000,2022-05-02 14:14:36.000000,2022-05-02 14:10:03,693,17.0,68,29.0,271.0,104.0,196.0,407,\"Simple, concise geographical visualization in Python.\",27.0,26,True,2022-03-08 14:57:27.000,1.9.5,36.0,geoviews,conda-forge/geoviews,,,,26.0,,https://pypi.org/project/geoviews,2022-03-08 14:57:27.000,26.0,9561.0,11613.0,https://anaconda.org/conda-forge/geoviews,2022-03-08 21:16:14.407,102637.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n459,pyvips,libvips/pyvips,image,,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000,2022-04-18 19:06:05.882000,2022-04-18 14:16:57,430,19.0,39,7.0,43.0,108.0,173.0,402,python binding for libvips using cffi.,13.0,26,True,2022-04-18 14:18:17.000,2.2.0,23.0,pyvips,conda-forge/pyvips,,,,355.0,316.0,https://pypi.org/project/pyvips,2022-04-18 14:18:17.000,39.0,19308.0,19836.0,https://anaconda.org/conda-forge/pyvips,2022-04-18 19:06:05.882,17438.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n460,sklearn-crfsuite,TeamHG-Memex/sklearn-crfsuite,sklearn-utils,,https://github.com/TeamHG-Memex/sklearn-crfsuite,https://github.com/TeamHG-Memex/sklearn-crfsuite,MIT,2015-11-26 21:15:41.000,2021-10-27 17:57:56.000000,2019-12-05 08:17:22,46,,182,21.0,14.0,37.0,23.0,402,scikit-learn inspired API for CRFsuite.,6.0,26,False,2017-06-22 18:49:27.000,0.3.6,9.0,sklearn-crfsuite,conda-forge/sklearn-crfsuite,,,['sklearn'],4001.0,3735.0,https://pypi.org/project/sklearn-crfsuite,2017-06-22 18:49:27.000,266.0,135215.0,135954.0,https://anaconda.org/conda-forge/sklearn-crfsuite,2020-04-03 10:45:56.342,18481.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n461,EarthPy,earthlab/earthpy,geospatial-data,,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000,2022-04-23 23:02:22.000000,2021-12-20 23:24:01,1186,,135,21.0,543.0,18.0,207.0,353,A package built to support working with spatial data using open source python.,40.0,26,True,2021-10-01 22:51:04.000,0.9.4,23.0,earthpy,conda-forge/earthpy,,,,145.0,138.0,https://pypi.org/project/earthpy,2021-10-01 22:51:04.000,7.0,8179.0,9332.0,https://anaconda.org/conda-forge/earthpy,2021-10-04 19:35:49.510,42687.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n462,dbnd,databand-ai/dbnd,data-pipelines,,https://github.com/databand-ai/dbnd,https://github.com/databand-ai/dbnd,Apache-2.0,2020-01-02 10:42:47.000,2022-05-04 22:48:37.000000,2022-05-04 20:53:15,2967,121.0,24,19.0,51.0,3.0,2.0,223,DBND is an agile pipeline framework that helps data engineering teams track and orchestrate their data processes.,59.0,26,False,2022-05-04 22:45:59.000,0.71.9,331.0,dbnd,,,,,47.0,25.0,https://pypi.org/project/dbnd,2022-05-04 22:45:59.000,22.0,145545.0,145545.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n463,mmdnn,Microsoft/MMdnn,model-serialisation,,https://github.com/microsoft/MMdnn,https://github.com/microsoft/MMdnn,MIT,2017-08-16 08:03:52.000,2021-03-01 14:17:24.000000,2020-08-14 02:32:30,1083,,964,185.0,323.0,327.0,289.0,5567,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,85.0,25,False,2020-07-24 06:34:39.000,0.3.1,12.0,mmdnn,,,,,79.0,76.0,https://pypi.org/project/mmdnn,2020-07-24 06:34:39.000,3.0,760.0,825.0,,,,,,,,3.0,3553.0,,,,,,,,,,,,,,,,,,,,\n464,flashtext,vi3k6i5/flashtext,nlp,,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01.000,2021-07-26 20:38:52.000000,2020-05-03 07:13:22,108,,569,140.0,30.0,54.0,51.0,5151,Extract Keywords from sentence or Replace keywords in sentences.,7.0,25,False,,,18.0,flashtext,conda-forge/flashtext,,,,774.0,743.0,https://pypi.org/project/flashtext,2018-02-16 05:24:17.000,31.0,594532.0,594941.0,https://anaconda.org/conda-forge/flashtext,2020-07-16 16:37:59.996,9016.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n465,MMF,facebookresearch/mmf,image,,https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40.000,2022-05-03 03:59:59.000000,2022-04-28 17:49:58,1048,23.0,823,110.0,633.0,189.0,425.0,4897,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,99.0,25,True,2019-08-26 19:04:21.000,0.3.1,12.0,mmf,,,,['pytorch'],13.0,12.0,https://pypi.org/project/mmf,2020-06-12 22:15:02.000,1.0,567.0,567.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n466,AugLy,facebookresearch/AugLy,others,,https://github.com/facebookresearch/AugLy,https://github.com/facebookresearch/AugLy,MIT,2021-06-09 17:57:28.000,2022-05-03 16:06:50.000000,2022-04-27 13:20:47,167,16.0,237,59.0,153.0,13.0,52.0,4444,\"A data augmentations library for audio, image, text, and video.\",20.0,25,True,2022-03-29 11:42:50.000,1.0.0,17.0,augly,,,,,34.0,31.0,https://pypi.org/project/augly,2022-03-28 13:29:26.000,3.0,1801.0,1801.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n467,torchdiffeq,rtqichen/torchdiffeq,pytorch-utils,,https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25.000,2022-04-22 15:22:18.000000,2022-04-22 15:21:09,226,1.0,730,127.0,33.0,40.0,135.0,4059,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,20.0,25,True,2022-04-22 15:21:47.000,0.2.3,7.0,torchdiffeq,conda-forge/torchdiffeq,,,['pytorch'],265.0,245.0,https://pypi.org/project/torchdiffeq,2022-04-22 15:21:47.000,20.0,6679.0,6884.0,https://anaconda.org/conda-forge/torchdiffeq,2021-06-03 13:23:15.112,4929.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n468,Snips NLU,snipsco/snips-nlu,nlp,,https://github.com/snipsco/snips-nlu,https://github.com/snipsco/snips-nlu,Apache-2.0,2017-02-08 16:16:36.000,2021-11-17 15:23:01.000000,2021-05-03 12:18:31,2154,,495,140.0,648.0,60.0,197.0,3647,Snips Python library to extract meaning from text.,22.0,25,True,2020-01-15 10:13:17.000,0.20.2,58.0,snips-nlu,,,,,11.0,,https://pypi.org/project/snips-nlu,2020-01-15 10:13:17.000,11.0,3400.0,3400.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n469,Stable Baselines,hill-a/stable-baselines,reinforcement-learning,,https://github.com/hill-a/stable-baselines,https://github.com/hill-a/stable-baselines,MIT,2018-07-02 14:28:59.000,2021-08-25 09:25:32.000000,2021-08-25 09:25:32,838,,689,67.0,246.0,128.0,812.0,3524,\"A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.\",112.0,25,True,2021-04-06 12:37:09.000,2.10.2,31.0,stable-baselines,,,,,34.0,,https://pypi.org/project/stable-baselines,2021-04-06 12:37:09.000,34.0,9650.0,9650.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n470,AdaNet,tensorflow/adanet,hyperopt,,https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24.000,2021-08-30 19:33:24.000000,2021-08-30 19:33:24,440,,519,172.0,49.0,64.0,48.0,3393,Fast and flexible AutoML with learning guarantees.,27.0,25,True,2020-07-09 21:03:28.000,0.9.0,13.0,adanet,,,,['tensorflow'],45.0,43.0,https://pypi.org/project/adanet,2020-07-09 21:03:28.000,2.0,1334.0,1334.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n471,scikit-opt,guofei9987/scikit-opt,sklearn-utils,,https://github.com/guofei9987/scikit-opt,https://github.com/guofei9987/scikit-opt,MIT,2017-12-05 10:20:41.000,2022-04-08 00:48:08.000000,2022-04-08 00:47:56,318,4.0,737,39.0,22.0,39.0,104.0,3157,\"Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune..\",14.0,25,True,2022-01-14 08:49:08.000,0.6.6,23.0,scikit-opt,,,,['sklearn'],80.0,74.0,https://pypi.org/project/scikit-opt,2022-01-14 08:49:08.000,6.0,3157.0,3157.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n472,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,graph,,https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16.000,2022-04-11 18:34:16.000000,2022-04-11 18:30:26,162,3.0,407,89.0,76.0,55.0,136.0,3052,Generate embeddings from large-scale graph-structured data.,27.0,25,True,2019-10-14 16:45:11.000,1.0.0,3.0,torchbiggraph,,,,['pytorch'],3.0,,https://pypi.org/project/torchbiggraph,2019-05-01 21:31:13.000,3.0,178439.0,178442.0,,,,,,,,2.0,131.0,,,,,,,,,,,,,,,,,,,,\n473,xLearn,aksnzhy/xlearn,ml-frameworks,,https://github.com/aksnzhy/xlearn,https://github.com/aksnzhy/xlearn,Apache-2.0,2017-06-10 08:09:31.000,2021-01-28 14:17:44.000000,2020-03-03 10:12:35,1340,,528,109.0,70.0,193.0,114.0,2993,\"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..\",30.0,25,False,2019-04-25 02:10:05.000,0.4.4,15.0,xlearn,,,,,95.0,83.0,https://pypi.org/project/xlearn,2018-12-04 11:05:06.000,12.0,3404.0,3468.0,,,,,,,,3.0,3220.0,,,,,,,,,,,,,,,,,,,,\n474,keras-vis,raghakot/keras-vis,interpretability,,https://github.com/raghakot/keras-vis,https://github.com/raghakot/keras-vis,MIT,2016-11-11 23:27:34.000,2022-02-07 16:06:07.000000,2020-04-20 01:03:12,195,,626,71.0,25.0,114.0,101.0,2926,Neural network visualization toolkit for keras.,10.0,25,False,2017-07-06 04:55:04.000,0.4.1,11.0,keras-vis,,,,['tensorflow'],1857.0,1828.0,https://pypi.org/project/keras-vis,2017-07-06 04:55:04.000,29.0,4296.0,4296.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n475,facenet-pytorch,timesler/facenet-pytorch,image,,https://github.com/timesler/facenet-pytorch,https://github.com/timesler/facenet-pytorch,MIT,2019-05-25 01:29:24.000,2021-12-13 14:59:32.000000,2021-12-13 12:07:11,235,,630,41.0,44.0,60.0,90.0,2841,Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models.,14.0,25,True,2021-03-10 01:00:20.000,2.5.2,31.0,facenet-pytorch,,,,['pytorch'],758.0,747.0,https://pypi.org/project/facenet-pytorch,2021-03-10 01:00:20.000,11.0,12299.0,21476.0,,,,,,,,3.0,275326.0,,,,,,,,,,,,,,,,,,,,\n476,DeepVariant,google/deepvariant,medical-data,,https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000,2022-03-07 13:08:05.000000,2022-01-28 17:30:19,1842,,602,160.0,52.0,3.0,482.0,2485,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,21.0,25,True,2021-12-10 07:12:31.000,1.3.0,17.0,,bioconda/deepvariant,,,['tensorflow'],,,,,,,844.0,https://anaconda.org/bioconda/deepvariant,2021-12-16 06:56:52.044,40173.0,,,,,3.0,3850.0,,,,,,,,,,,,,,,,,,,,\n477,pytorchvideo,facebookresearch/pytorchvideo,image,,https://github.com/facebookresearch/pytorchvideo,https://github.com/facebookresearch/pytorchvideo,Apache-2.0,2021-03-09 20:39:13.000,2022-04-28 15:16:27.000000,2022-04-28 15:14:44,139,23.0,252,50.0,63.0,53.0,76.0,2405,A deep learning library for video understanding research.,31.0,25,True,2022-01-20 00:16:35.000,0.1.5,9.0,pytorchvideo,,,,['pytorch'],5.0,,https://pypi.org/project/pytorchvideo,2022-01-20 00:16:35.000,5.0,15745.0,15745.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n478,Enigma Catalyst,scrtlabs/catalyst,financial-data,,https://github.com/scrtlabs/catalyst,https://github.com/scrtlabs/catalyst,Apache-2.0,2017-06-13 22:31:34.000,2021-09-22 15:32:01.000000,2021-09-22 15:31:55,6364,,695,166.0,93.0,134.0,358.0,2334,An Algorithmic Trading Library for Crypto-Assets in Python.,148.0,25,True,2018-11-11 16:46:28.000,0.5.21,52.0,enigma-catalyst,,,,,26.0,24.0,https://pypi.org/project/enigma-catalyst,2018-11-11 16:46:28.000,2.0,467.0,467.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n479,polyglot,aboSamoor/polyglot,nlp,,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,GPL-3.0,2014-06-30 02:07:45.000,2021-04-28 03:41:03.000000,2020-09-22 22:35:28,271,,310,80.0,49.0,147.0,66.0,1991,Multilingual text (NLP) processing toolkit.,26.0,25,False,2016-07-03 20:05:42.000,16.7.4,9.0,polyglot,,,,,785.0,701.0,https://pypi.org/project/polyglot,2016-07-03 20:05:42.000,84.0,51512.0,51512.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n480,zenml,zenml-io/zenml,data-pipelines,,https://github.com/zenml-io/zenml,https://github.com/zenml-io/zenml,Apache-2.0,2020-11-19 09:25:46.000,2022-05-05 14:52:23.000000,2022-04-29 15:55:42,4469,267.0,139,33.0,475.0,10.0,62.0,1942,ZenML : MLOps framework to create reproducible pipelines. https://zenml.io.,32.0,25,True,2022-04-28 09:01:52.000,0.7.3,52.0,zenml,,,,,,,https://pypi.org/project/zenml,2022-04-28 08:53:20.000,,1056.0,1056.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n481,scattertext,JasonKessler/scattertext,nlp,,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12.000,2022-03-26 17:35:11.489000,2022-03-26 09:22:25,357,1.0,251,54.0,11.0,17.0,68.0,1810,Beautiful visualizations of how language differs among document types.,12.0,25,True,2022-03-26 09:23:49.000,0.1.6,135.0,scattertext,conda-forge/scattertext,,,,286.0,276.0,https://pypi.org/project/scattertext,2022-03-26 09:23:49.000,10.0,3496.0,4559.0,https://anaconda.org/conda-forge/scattertext,2022-03-26 17:35:11.489,60642.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n482,Multicore-TSNE,DmitryUlyanov/Multicore-TSNE,data-viz,,https://github.com/DmitryUlyanov/Multicore-TSNE,https://github.com/DmitryUlyanov/Multicore-TSNE,BSD-3-Clause,2016-10-19 05:46:52.000,2022-04-29 15:26:19.000000,2020-08-19 14:58:00,113,,200,40.0,35.0,37.0,21.0,1706,Parallel t-SNE implementation with Python and Torch wrappers.,15.0,25,False,2017-11-08 13:32:20.000,0.0.1,3.0,MulticoreTSNE,conda-forge/multicore-tsne,,,['pytorch'],319.0,296.0,https://pypi.org/project/MulticoreTSNE,2019-01-09 07:23:04.000,23.0,10303.0,10628.0,https://anaconda.org/conda-forge/multicore-tsne,2021-11-09 17:22:51.512,13688.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n483,checklist,marcotcr/checklist,interpretability,,https://github.com/marcotcr/checklist,https://github.com/marcotcr/checklist,MIT,2020-03-09 17:18:49.000,2022-04-29 09:54:44.000000,2021-09-28 21:55:38,247,,152,27.0,41.0,12.0,80.0,1644,Beyond Accuracy: Behavioral Testing of NLP models with CheckList.,12.0,25,True,2021-05-24 16:45:59.000,0.0.11,10.0,checklist,conda-forge/checklist,,,['jupyter'],125.0,122.0,https://pypi.org/project/checklist,2021-05-24 16:45:59.000,3.0,20078.0,20251.0,https://anaconda.org/conda-forge/checklist,2021-07-15 13:35:51.684,2771.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n484,pytorch_geometric_temporal,benedekrozemberczki/pytorch_geometric_temporal,graph,,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,MIT,2020-06-27 01:11:33.000,2022-04-24 20:12:59.000000,2022-04-24 20:12:59,1878,27.0,227,39.0,63.0,8.0,96.0,1514,PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021).,21.0,25,True,2022-04-04 19:21:59.000,0.52.0,44.0,torch-geometric-temporal,,,,['pytorch'],2.0,,https://pypi.org/project/torch-geometric-temporal,2022-04-04 19:20:07.000,2.0,1779.0,1779.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n485,NiftyNet,NifTK/NiftyNet,medical-data,,https://github.com/NifTK/NiftyNet,https://github.com/NifTK/NiftyNet,Apache-2.0,2017-08-30 07:55:43.000,2020-04-21 19:54:52.000000,2020-04-21 19:54:51,3284,,389,90.0,165.0,102.0,224.0,1308,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,59.0,25,False,2019-10-10 10:59:33.000,0.6.0,11.0,niftynet,,,,['tensorflow'],39.0,38.0,https://pypi.org/project/niftynet,2019-10-10 10:59:33.000,1.0,6537.0,6537.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n486,pyts,johannfaouzi/pyts,time-series-data,,https://github.com/johannfaouzi/pyts,https://github.com/johannfaouzi/pyts,BSD-3-Clause,2017-07-31 09:23:16.000,2022-03-02 08:31:33.000000,2022-03-02 08:31:33,380,1.0,127,22.0,68.0,35.0,25.0,1252,A Python package for time series classification.,11.0,25,True,2021-10-31 13:51:09.000,0.12.0,18.0,pyts,conda-forge/pyts,,,,205.0,194.0,https://pypi.org/project/pyts,2021-10-31 13:51:09.000,11.0,131425.0,131748.0,https://anaconda.org/conda-forge/pyts,2021-10-31 15:13:32.850,10688.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n487,fancyimpute,iskandr/fancyimpute,sklearn-utils,,https://github.com/iskandr/fancyimpute,https://github.com/iskandr/fancyimpute,Apache-2.0,2015-11-05 23:39:34.000,2021-10-21 17:50:40.000000,2021-10-21 17:45:17,202,,167,25.0,35.0,1.0,111.0,1061,Multivariate imputation and matrix completion algorithms implemented in Python.,12.0,25,True,2021-10-21 17:50:40.000,0.7.0,29.0,fancyimpute,,,,['sklearn'],1199.0,1170.0,https://pypi.org/project/fancyimpute,2021-10-21 17:50:40.000,29.0,12017.0,12017.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n488,TFEncrypted,tf-encrypted/tf-encrypted,privacy-ml,,https://github.com/tf-encrypted/tf-encrypted,https://github.com/tf-encrypted/tf-encrypted,Apache-2.0,2018-03-21 18:22:13.000,2022-03-10 02:03:55.000000,2022-03-10 02:03:55,598,3.0,177,58.0,444.0,168.0,246.0,1008,A Framework for Encrypted Machine Learning in TensorFlow.,28.0,25,True,2022-03-07 08:43:08.000,0.7.0,37.0,tf-encrypted,,,,['tensorflow'],70.0,61.0,https://pypi.org/project/tf-encrypted,2022-03-07 08:43:08.000,9.0,735.0,735.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n489,audiomentations,iver56/audiomentations,audio,,https://github.com/iver56/audiomentations,https://github.com/iver56/audiomentations,MIT,2019-02-12 16:36:24.000,2022-04-05 18:34:52.000000,2022-04-05 18:34:50,725,144.0,117,15.0,72.0,28.0,85.0,955,A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.,21.0,25,True,2022-03-18 08:10:49.000,0.24.0,26.0,audiomentations,,,,,127.0,126.0,https://pypi.org/project/audiomentations,2022-03-18 08:10:49.000,1.0,4167.0,4167.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n490,PySwarms,ljvmiranda921/pyswarms,others,,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45.000,2021-12-03 19:52:38.000000,2021-06-23 11:19:05,409,,294,32.0,290.0,16.0,198.0,918,A research toolkit for particle swarm optimization in Python.,43.0,25,True,2021-01-03 21:34:15.000,1.3.0,20.0,pyswarms,,,,,174.0,168.0,https://pypi.org/project/pyswarms,2021-01-03 21:34:15.000,6.0,31825.0,31825.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n491,Madmom,CPJKU/madmom,audio,,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06.000,2022-01-26 19:41:50.000000,2022-01-06 15:08:19,1746,,151,39.0,251.0,54.0,201.0,893,Python audio and music signal processing library.,20.0,25,True,2018-11-14 14:57:41.000,0.16.1,11.0,madmom,,,,,216.0,189.0,https://pypi.org/project/madmom,2018-11-14 14:56:22.000,27.0,2817.0,2817.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n492,PyKEEN,pykeen/pykeen,graph,,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000,2022-05-05 12:20:46.000000,2022-05-04 15:14:10,2645,90.0,113,21.0,511.0,123.0,273.0,831,A Python library for learning and evaluating knowledge graph embeddings.,26.0,25,True,2022-04-20 12:02:16.000,1.8.1,40.0,pykeen,,,,,3.0,,https://pypi.org/project/pykeen,2022-04-20 11:58:58.000,3.0,1004.0,1010.0,,,,,,,,2.0,142.0,,,,,,,,,,,,,,,,,,,,\n493,scikit-lego,koaning/scikit-lego,sklearn-utils,,https://github.com/koaning/scikit-lego,https://github.com/koaning/scikit-lego,MIT,2019-01-21 15:30:15.000,2022-04-21 06:02:52.412000,2022-04-20 19:42:54,429,8.0,85,16.0,271.0,22.0,218.0,814,Extra blocks for scikit-learn pipelines.,50.0,25,True,2022-04-20 19:44:06.000,0.6.11,37.0,scikit-lego,conda-forge/scikit-lego,,,['sklearn'],51.0,45.0,https://pypi.org/project/scikit-lego,2022-04-20 19:44:43.000,6.0,13056.0,13628.0,https://anaconda.org/conda-forge/scikit-lego,2022-04-21 06:02:52.412,17762.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n494,bambi,bambinos/bambi,probabilistics,,https://github.com/bambinos/bambi,https://github.com/bambinos/bambi,MIT,2016-05-16 03:21:00.000,2022-05-03 02:08:41.000000,2022-04-27 21:40:15,653,27.0,80,26.0,255.0,37.0,204.0,771,BAyesian Model-Building Interface (Bambi) in Python.,24.0,25,True,2022-01-15 01:38:30.000,0.7.1,19.0,bambi,conda-forge/bambi,,,,30.0,27.0,https://pypi.org/project/bambi,2022-01-15 01:38:30.000,3.0,3830.0,4055.0,https://anaconda.org/conda-forge/bambi,2022-01-18 20:23:31.895,7454.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n495,NeuPy,itdxer/neupy,ml-frameworks,,https://github.com/itdxer/neupy,https://github.com/itdxer/neupy,MIT,2015-08-24 19:45:11.000,2022-03-11 23:25:33.000000,2019-09-02 19:02:38,1145,,152,33.0,23.0,32.0,234.0,707,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,7.0,25,False,2019-04-04 19:44:59.000,0.8.2,34.0,neupy,,,,,142.0,130.0,https://pypi.org/project/neupy,2019-04-04 19:43:06.000,12.0,3168.0,3168.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n496,Guild AI,guildai/guildai,ml-experiments,,https://github.com/guildai/guildai,https://github.com/guildai/guildai,Apache-2.0,2017-09-27 18:57:50.000,2022-05-05 14:09:31.000000,2022-05-05 14:09:17,4861,176.0,62,14.0,56.0,155.0,197.0,697,\"Experiment tracking, ML developer tools.\",20.0,25,True,2022-04-28 14:31:59.000,0.8.1.dev1,181.0,guildai,,,,,51.0,51.0,https://pypi.org/project/guildai,2022-04-28 21:03:47.000,,3442.0,3442.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n497,icevision,airctic/icevision,image,,https://github.com/airctic/icevision,https://github.com/airctic/icevision,Apache-2.0,2020-05-04 01:57:02.000,2022-04-29 08:26:43.000000,2022-04-29 08:21:54,1218,16.0,96,21.0,560.0,136.0,500.0,678,\"An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come.\",39.0,25,True,2022-02-10 15:53:08.000,0.12.0,41.0,icevision,,,,,5.0,,https://pypi.org/project/icevision,2022-02-10 15:54:11.000,5.0,3152.0,3152.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n498,StatsForecast,Nixtla/statsforecast,time-series-data,,https://github.com/Nixtla/statsforecast,https://github.com/Nixtla/statsforecast,MIT,2021-11-24 02:19:14.000,2022-05-04 20:22:17.000000,2022-05-04 13:56:30,225,205.0,33,11.0,54.0,11.0,26.0,564,Lightning fast forecasting with statistical and econometric models.,7.0,25,True,2022-05-02 22:19:16.000,0.5.4,9.0,statsforecast,conda-forge/statsforecast,,,,3.0,,https://pypi.org/project/statsforecast,2022-05-02 22:19:16.000,3.0,166483.0,167525.0,https://anaconda.org/conda-forge/statsforecast,2022-05-03 00:54:39.026,2085.0,,,,,2.0,,,3.0,,,,,,,,,,,,,,,,,,\n499,vega,vega/ipyvega,data-viz,,https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000,2022-05-01 03:38:16.000000,2022-05-01 03:38:15,579,23.0,59,31.0,324.0,12.0,82.0,330,IPython/Jupyter notebook module for Vega and Vega-Lite.,11.0,25,True,2022-02-10 02:01:39.000,3.6.0,39.0,vega,conda-forge/vega,,,['jupyter'],84.0,,https://pypi.org/project/vega,2022-02-10 02:01:39.000,84.0,6417.0,13138.0,https://anaconda.org/conda-forge/vega,2022-02-10 13:26:24.004,477211.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n500,PyStan,stan-dev/pystan,probabilistics,,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,ISC,2017-03-06 19:56:42.094,2022-02-15 22:25:08.000000,2022-02-15 22:25:08,197,8.0,40,11.0,178.0,12.0,160.0,185,\"PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io.\",10.0,25,False,2021-10-06 01:05:34.000,3.3.0,66.0,pystan,conda-forge/pystan,,,,247.0,,https://pypi.org/project/pystan,2022-02-15 20:52:07.000,247.0,2411066.0,2434675.0,https://anaconda.org/conda-forge/pystan,2022-02-03 10:06:49.622,1463774.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n501,textgenrnn,minimaxir/textgenrnn,nlp,,https://github.com/minimaxir/textgenrnn,https://github.com/minimaxir/textgenrnn,MIT,2017-08-07 02:13:37.000,2021-12-17 04:03:09.000000,2020-07-14 02:41:10,174,,719,141.0,41.0,123.0,91.0,4679,Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines..,19.0,24,False,2020-02-03 01:07:00.000,2.0.0,14.0,textgenrnn,,,,['tensorflow'],1005.0,990.0,https://pypi.org/project/textgenrnn,2020-02-02 21:16:15.000,15.0,479.0,492.0,,,,,,,,3.0,671.0,,,,,,,,,,,,,,,,,,,,\n502,DALI,NVIDIA/DALI,gpu-utilities,,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000,2022-05-05 14:35:10.000000,2022-05-04 17:55:53,2472,135.0,481,83.0,2715.0,167.0,981.0,3828,A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to..,74.0,24,True,2022-04-22 17:30:55.000,1.13.0,52.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n503,segmentation_models,qubvel/segmentation_models,image,,https://github.com/qubvel/segmentation_models,https://github.com/qubvel/segmentation_models,MIT,2018-06-05 13:27:56.000,2022-01-04 21:11:23.000000,2020-04-17 09:51:20,204,,891,96.0,56.0,215.0,256.0,3824,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,14.0,24,False,2020-01-10 11:36:02.000,1.0.1,8.0,segmentation_models,,,,['tensorflow'],24.0,,https://pypi.org/project/segmentation_models,2020-01-10 11:36:02.000,24.0,51767.0,51767.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n504,PyAlgoTrade,gbeced/pyalgotrade,financial-data,,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54.000,2022-02-01 17:04:10.000000,2018-08-21 02:42:52,1156,,1218,351.0,52.0,45.0,84.0,3669,Python Algorithmic Trading Library.,11.0,24,False,,,8.0,pyalgotrade,,,,,130.0,109.0,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25.000,21.0,457.0,457.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n505,MatchZoo,NTMC-Community/MatchZoo,nlp,,https://github.com/NTMC-Community/MatchZoo,https://github.com/NTMC-Community/MatchZoo,Apache-2.0,2017-06-08 08:55:22.000,2021-06-03 02:58:49.000000,2021-06-02 17:38:16,1810,,908,178.0,385.0,32.0,429.0,3647,\"Facilitating the design, comparison and sharing of deep text matching models.\",36.0,24,True,2019-10-24 13:09:11.000,2.2.0,5.0,matchzoo,,,,['tensorflow'],10.0,10.0,https://pypi.org/project/matchzoo,2019-10-24 13:09:11.000,,95.0,95.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n506,MMLSpark,microsoft/SynapseML,distributed-ml,,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000,2022-05-04 22:27:08.000000,2022-05-04 22:20:57,1117,82.0,640,134.0,962.0,231.0,329.0,3287,Simple and Distributed Machine Learning.,89.0,24,True,2022-01-12 22:42:34.000,0.9.5,23.0,mmlspark,,,,['spark'],,,https://pypi.org/project/mmlspark,2020-03-18 01:27:31.000,,10.0,10.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n507,Chartify,spotify/chartify,data-viz,,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05.000,2022-01-31 12:20:49.000000,2021-02-05 18:49:02,195,,282,84.0,65.0,41.0,31.0,3141,Python library that makes it easy for data scientists to create charts.,21.0,24,False,2020-11-02 22:14:08.000,3.0.3,16.0,chartify,conda-forge/chartify,,,,67.0,62.0,https://pypi.org/project/chartify,2020-11-02 22:14:08.000,5.0,1821.0,2264.0,https://anaconda.org/conda-forge/chartify,2020-11-07 19:52:50.628,18622.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n508,TensorForce,tensorforce/tensorforce,reinforcement-learning,,https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22.000,2022-02-10 08:43:13.000000,2022-02-10 08:43:04,2099,2.0,512,148.0,228.0,13.0,626.0,3126,Tensorforce: a TensorFlow library for applied reinforcement learning.,82.0,24,True,2021-08-30 20:20:58.000,0.6.5,14.0,tensorforce,,,,['tensorflow'],26.0,,https://pypi.org/project/tensorforce,2019-09-07 13:56:18.000,26.0,1279.0,1279.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n509,tensorflow-graphics,tensorflow/graphics,image,,https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44.000,2022-04-04 20:19:08.000000,2022-04-04 20:19:03,753,4.0,338,89.0,525.0,131.0,90.0,2616,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,36.0,24,True,2021-12-03 22:33:39.000,2021.12.3,25.0,tensorflow-graphics,,,,['tensorflow'],4.0,,https://pypi.org/project/tensorflow-graphics,2021-12-03 22:33:39.000,4.0,2971.0,2971.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n510,knockknock,huggingface/knockknock,ml-experiments,,https://github.com/huggingface/knockknock,https://github.com/huggingface/knockknock,MIT,2019-03-20 13:08:55.000,2022-03-13 06:54:07.000000,2020-03-16 04:26:47,75,,198,57.0,37.0,14.0,23.0,2416,Knock Knock: Get notified when your training ends with only two additional lines of code.,18.0,24,False,2020-03-04 04:15:47.000,0.1.8,10.0,knockknock,conda-forge/knockknock,,,,298.0,295.0,https://pypi.org/project/knockknock,2020-03-16 14:30:23.000,3.0,2597.0,2879.0,https://anaconda.org/conda-forge/knockknock,2020-03-17 01:52:16.317,8747.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n511,HiPlot,facebookresearch/hiplot,data-viz,,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41.000,2022-04-29 12:27:57.000000,2022-03-26 10:31:28,191,12.0,117,28.0,169.0,12.0,64.0,2287,HiPlot makes understanding high dimensional data easy.,8.0,24,True,2021-11-04 14:37:14.000,0.1.32,104.0,hiplot,conda-forge/hiplot,,,,15.0,4.0,https://pypi.org/project/hiplot,2022-03-26 10:51:20.000,11.0,11964.0,15022.0,https://anaconda.org/conda-forge/hiplot,2021-11-05 06:41:13.441,82585.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n512,python_speech_features,jameslyons/python_speech_features,audio,,https://github.com/jameslyons/python_speech_features,https://github.com/jameslyons/python_speech_features,MIT,2013-10-31 02:42:08.000,2021-10-20 10:08:48.000000,2020-12-31 13:27:01,120,,593,87.0,29.0,23.0,51.0,2083,This library provides common speech features for ASR including MFCCs and filterbank energies.,19.0,24,False,2020-01-14 14:12:10.000,0.6.1,6.0,python_speech_features,,,,,161.0,,https://pypi.org/project/python_speech_features,2017-08-16 01:46:13.000,161.0,98868.0,98868.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n513,pytorch-nlp,PetrochukM/PyTorch-NLP,nlp,,https://github.com/PetrochukM/PyTorch-NLP,https://github.com/PetrochukM/PyTorch-NLP,BSD-3-Clause,2018-02-25 05:00:36.000,2022-01-22 00:08:57.000000,2021-07-10 15:56:42,447,,248,57.0,55.0,18.0,49.0,2054,Basic Utilities for PyTorch Natural Language Processing (NLP).,18.0,24,True,2019-11-04 05:16:00.000,0.5.0,19.0,pytorch-nlp,,,,['pytorch'],385.0,368.0,https://pypi.org/project/pytorch-nlp,2019-11-04 04:35:18.000,17.0,6643.0,6643.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n514,PyFlux,RJT1990/pyflux,time-series-data,,https://github.com/RJT1990/pyflux,https://github.com/RJT1990/pyflux,BSD-3-Clause,2016-02-16 20:12:02.000,2019-03-19 10:45:02.000000,2018-12-16 15:30:13,118,,225,70.0,20.0,83.0,66.0,1963,Open source time series library for Python.,6.0,24,False,2017-11-21 16:27:06.000,0.4.16,35.0,pyflux,,,,,231.0,215.0,https://pypi.org/project/pyflux,2017-11-21 16:27:06.000,16.0,53239.0,53239.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n515,fast-bert,utterworks/fast-bert,nlp,,https://github.com/utterworks/fast-bert,https://github.com/utterworks/fast-bert,Apache-2.0,2019-04-18 22:01:20.000,2022-04-12 10:28:24.000000,2022-04-12 10:28:11,317,11.0,334,41.0,63.0,152.0,94.0,1729,Super easy library for BERT based NLP models.,36.0,24,True,2022-04-12 10:28:24.000,2.0.3,53.0,fast-bert,,,,,2.0,,https://pypi.org/project/fast-bert,2022-04-12 10:28:24.000,2.0,2010.0,2010.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n516,Fairness 360,Trusted-AI/AIF360,interpretability,,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15.000,2022-05-05 06:03:08.000000,2022-05-03 14:40:18,347,2.0,547,87.0,171.0,74.0,61.0,1720,\"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..\",48.0,24,True,2021-03-04 18:11:34.000,0.4.0,9.0,aif360,conda-forge/aif360,,,,162.0,154.0,https://pypi.org/project/aif360,2021-03-04 18:11:34.000,8.0,6794.0,6891.0,https://anaconda.org/conda-forge/aif360,2021-09-29 17:08:47.878,1942.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n517,TabNet,dreamquark-ai/tabnet,pytorch-utils,,https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000,2022-05-03 11:13:11.000000,2022-03-23 16:53:36,173,3.0,335,36.0,179.0,38.0,200.0,1684,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,19.0,24,True,2021-02-02 08:05:11.000,3.1.1,17.0,pytorch-tabnet,conda-forge/pytorch-tabnet,,,['pytorch'],7.0,,https://pypi.org/project/pytorch-tabnet,2021-02-02 08:05:11.000,7.0,17064.0,17138.0,https://anaconda.org/conda-forge/pytorch-tabnet,2021-12-30 20:05:02.340,372.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n518,modAL,modAL-python/modAL,others,,https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000,2022-04-07 20:49:55.000000,2021-01-07 09:40:40,648,,233,41.0,33.0,70.0,54.0,1680,A modular active learning framework for Python.,14.0,24,False,2021-01-07 09:47:49.000,0.4.1,12.0,modAL,,,,['sklearn'],134.0,127.0,https://pypi.org/project/modAL,2021-01-07 09:47:49.000,7.0,7055.0,7055.0,,,,,,,,3.0,20.0,,,,,,,,,,,,,,,,,,,,\n519,CausalNex,quantumblacklabs/causalnex,interpretability,,https://github.com/quantumblacklabs/causalnex,https://github.com/quantumblacklabs/causalnex,Apache-2.0,2019-12-12 15:26:09.000,2022-03-31 00:58:44.000000,2021-11-11 15:06:17,156,,171,46.0,47.0,21.0,88.0,1527,A Python library that helps data scientists to infer causation rather than observing correlation.,22.0,24,True,2021-11-11 15:15:32.000,0.11.0,16.0,causalnex,,,,\"['pytorch', 'sklearn']\",41.0,39.0,https://pypi.org/project/causalnex,2021-11-11 15:15:32.000,2.0,1349.0,1349.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n520,bonobo,python-bonobo/bonobo,data-pipelines,,https://github.com/python-bonobo/bonobo,https://github.com/python-bonobo/bonobo,Apache-2.0,2016-12-09 04:03:23.000,2022-04-06 18:44:11.000000,2021-03-10 15:44:00,981,,125,59.0,236.0,95.0,108.0,1507,Extract Transform Load for Python 3.5+.,37.0,24,False,2019-05-16 13:19:48.000,0.6.4,38.0,bonobo,,,http://docs.bonobo-project.org/en/master/,,163.0,130.0,https://pypi.org/project/bonobo,2019-07-20 13:33:19.000,33.0,6036.0,6036.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n521,garage,rlworkgroup/garage,reinforcement-learning,,https://github.com/rlworkgroup/garage,https://github.com/rlworkgroup/garage,MIT,2018-06-10 21:31:23.000,2022-05-03 04:08:57.000000,2022-04-17 08:31:26,1219,2.0,256,53.0,1308.0,205.0,802.0,1441,A toolkit for reproducible reinforcement learning research.,78.0,24,True,2021-03-23 22:18:36.000,2021.3.0,21.0,garage,,,,['tensorflow'],41.0,39.0,https://pypi.org/project/garage,2021-03-23 22:18:36.000,2.0,380.0,380.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n522,fklearn,nubank/fklearn,ml-frameworks,,https://github.com/nubank/fklearn,https://github.com/nubank/fklearn,Apache-2.0,2019-02-27 14:32:57.000,2022-04-22 14:46:17.000000,2022-04-18 15:14:20,138,3.0,157,87.0,151.0,22.0,22.0,1398,fklearn: Functional Machine Learning.,43.0,24,True,2021-12-30 01:18:22.000,2.0.0,24.0,fklearn,,,,,12.0,12.0,https://pypi.org/project/fklearn,2021-12-30 01:18:22.000,,6762.0,6762.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n523,Explainability 360,Trusted-AI/AIX360,interpretability,,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48.000,2022-02-18 23:37:54.000000,2022-02-18 23:37:54,320,3.0,222,50.0,85.0,38.0,26.0,1103,Interpretability and explainability of data and machine learning models.,29.0,24,True,2020-10-28 09:32:21.000,0.2.1,4.0,aix360,,,,,46.0,45.0,https://pypi.org/project/aix360,2020-10-28 09:18:17.000,1.0,1321.0,1321.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n524,Labml,labmlai/labml,ml-experiments,,https://github.com/labmlai/labml,https://github.com/labmlai/labml,MIT,2018-11-16 09:34:48.000,2022-05-03 12:30:27.000000,2022-05-03 12:30:27,1202,19.0,75,28.0,60.0,16.0,12.0,1070,Monitor deep learning model training and hardware usage from your mobile phone.,6.0,24,True,2022-04-08 07:17:59.000,0.4.147,123.0,labml,,,,,52.0,46.0,https://pypi.org/project/labml,2022-04-08 07:17:59.000,6.0,3928.0,3928.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n525,Streamz,python-streamz/streamz,time-series-data,,https://github.com/python-streamz/streamz,https://github.com/python-streamz/streamz,BSD-3-Clause,2017-04-04 21:45:49.000,2021-12-31 19:41:11.000000,2021-12-24 18:36:59,781,,133,32.0,210.0,103.0,145.0,1054,Real-time stream processing for python.,45.0,24,True,2021-10-04 14:47:39.000,0.6.3,16.0,streamz,conda-forge/streamz,,,,318.0,289.0,https://pypi.org/project/streamz,2021-10-04 14:47:39.000,29.0,12007.0,17066.0,https://anaconda.org/conda-forge/streamz,2021-10-04 16:06:59.119,283307.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n526,whylogs,whylabs/whylogs,data-pipelines,,https://github.com/whylabs/whylogs,https://github.com/whylabs/whylogs,Apache-2.0,2020-08-14 23:25:32.000,2022-05-03 23:09:26.000000,2022-05-03 15:45:10,962,80.0,53,21.0,405.0,61.0,92.0,1020,Open standard for end-to-end data and ML monitoring for any scale in any infrastructure.,31.0,24,True,2022-05-03 22:05:32.000,0.7.7,137.0,whylogs,,,,,2.0,,https://pypi.org/project/whylogs,2022-05-03 22:08:45.000,2.0,10234.0,10236.0,,,,,,,,3.0,50.0,,,,,,,,,,,,,,,,,,,,\n527,cuGraph,rapidsai/cugraph,gpu-utilities,,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000,2022-05-05 14:23:22.000000,2022-05-05 04:41:32,5288,116.0,189,43.0,1450.0,104.0,706.0,996,cuGraph - RAPIDS Graph Analytics Library.,83.0,24,True,2022-04-06 17:09:08.000,22.04.00,18.0,cugraph,conda-forge/libcugraph,,,,1.0,,https://pypi.org/project/cugraph,2020-06-01 20:09:06.000,1.0,237.0,748.0,https://anaconda.org/conda-forge/libcugraph,2021-04-29 03:53:20.856,6650.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n528,stockstats,jealous/stockstats,financial-data,,https://github.com/jealous/stockstats,https://github.com/jealous/stockstats,BSD-3-Clause,2016-06-05 15:21:22.000,2022-01-07 14:52:00.000000,2022-01-07 14:51:56,41,,257,52.0,34.0,8.0,77.0,990,Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.,8.0,24,True,2022-01-07 11:43:24.000,0.4.1,16.0,stockstats,,,,,482.0,453.0,https://pypi.org/project/stockstats,2022-01-07 11:43:24.000,29.0,8263.0,8263.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n529,torch-scatter,rusty1s/pytorch_scatter,pytorch-utils,,https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23.000,2022-05-04 21:51:46.000000,2022-03-25 09:21:45,1004,33.0,113,14.0,38.0,23.0,235.0,972,PyTorch Extension Library of Optimized Scatter Operations.,19.0,24,True,2021-10-22 11:01:13.000,2.0.9,29.0,torch-scatter,conda-forge/pytorch_scatter,,,['pytorch'],43.0,,https://pypi.org/project/torch-scatter,2021-10-22 11:01:13.000,43.0,29959.0,33125.0,https://anaconda.org/conda-forge/pytorch_scatter,2022-03-21 15:08:01.652,72818.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n530,scikit-cuda,lebedov/scikit-cuda,gpu-utilities,,https://github.com/lebedov/scikit-cuda,https://github.com/lebedov/scikit-cuda,BSD-3-Clause,2010-09-27 02:02:07.000,2022-03-31 14:08:20.000000,2022-03-31 14:08:20,1034,2.0,171,47.0,111.0,50.0,168.0,886,Python interface to GPU-powered libraries.,46.0,24,True,2019-05-27 00:29:00.000,0.5.3,7.0,scikit-cuda,,,,,227.0,183.0,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00.000,44.0,619.0,619.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n531,AstroML,astroML/astroML,others,,https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50.000,2022-03-29 04:15:06.000000,2022-03-29 03:15:28,562,6.0,281,95.0,114.0,62.0,88.0,816,\"Machine learning, statistics, and data mining for astronomy and astrophysics.\",30.0,24,True,2022-01-25 21:56:31.000,1.0.2,13.0,astroML,conda-forge/astroml,,,['sklearn'],33.0,,https://pypi.org/project/astroML,2022-03-01 20:02:01.000,33.0,1521.0,2018.0,https://anaconda.org/conda-forge/astroml,2022-03-02 04:14:21.434,28379.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n532,Prince,MaxHalford/prince,others,,https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000,2022-04-28 20:35:32.000000,2021-12-28 17:01:09,209,,140,21.0,22.0,38.0,68.0,789,\"Python factor analysis library (PCA, CA, MCA, MFA, FAMD).\",12.0,24,True,2020-10-06 11:26:47.000,0.7.1,41.0,prince,conda-forge/prince-factor-analysis,,,['sklearn'],208.0,203.0,https://pypi.org/project/prince,2020-10-06 11:26:47.000,5.0,56418.0,56738.0,https://anaconda.org/conda-forge/prince-factor-analysis,2021-04-30 17:46:15.443,9618.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n533,scikit-multilearn,scikit-multilearn/scikit-multilearn,sklearn-utils,,https://github.com/scikit-multilearn/scikit-multilearn,https://github.com/scikit-multilearn/scikit-multilearn,BSD-2-Clause,2014-04-30 13:05:44.000,2022-02-24 22:06:23.000000,2019-05-21 11:29:06,487,,140,35.0,62.0,79.0,94.0,742,A scikit-learn based module for multi-label et. al. classification.,15.0,24,False,2018-12-10 16:24:47.000,0.2.0,6.0,scikit-multilearn,,,,['sklearn'],749.0,731.0,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47.000,18.0,70461.0,70461.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n534,imodels,csinva/imodels,interpretability,,https://github.com/csinva/imodels,https://github.com/csinva/imodels,MIT,2019-07-04 15:38:48.000,2022-05-05 02:31:28.000000,2022-04-26 06:54:54,603,77.0,72,24.0,80.0,9.0,22.0,738,\"Interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible).\",11.0,24,True,2022-04-16 16:22:51.000,1.2.6,22.0,imodels,,,,,12.0,12.0,https://pypi.org/project/imodels,2022-04-16 16:22:51.000,,1826.0,1826.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n535,gmaps,pbugnion/gmaps,geospatial-data,,https://github.com/pbugnion/gmaps,https://github.com/pbugnion/gmaps,BSD-3-Clause,2014-12-01 09:12:06.000,2022-04-15 13:31:22.000000,2019-07-22 06:22:45,1380,,146,26.0,154.0,67.0,136.0,738,Google maps for Jupyter notebooks.,16.0,24,False,2019-07-21 08:49:48.715,0.9.0,95.0,gmaps,conda-forge/gmaps,,,['jupyter'],45.0,1.0,https://pypi.org/project/gmaps,2021-12-15 15:42:57.506,44.0,9800.0,15569.0,https://anaconda.org/conda-forge/gmaps,2019-08-02 11:56:50.940,256488.0,,,,,3.0,,,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715,,1495.0,,,,,,,,,,,,,\n536,PyTorch Sparse,rusty1s/pytorch_sparse,pytorch-utils,,https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53.000,2022-05-02 13:28:27.878000,2022-04-26 05:16:28,676,21.0,86,12.0,52.0,31.0,147.0,624,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,25.0,24,True,2022-03-11 15:20:49.000,0.6.13,25.0,torch-sparse,conda-forge/pytorch_sparse,,,['pytorch'],37.0,,https://pypi.org/project/torch-sparse,2022-03-11 15:20:49.000,37.0,24483.0,28089.0,https://anaconda.org/conda-forge/pytorch_sparse,2022-05-02 13:28:27.878,82953.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n537,Neuraxle,Neuraxio/Neuraxle,hyperopt,,https://github.com/Neuraxio/Neuraxle,https://github.com/Neuraxio/Neuraxle,Apache-2.0,2019-03-26 21:01:54.000,2022-04-27 21:14:45.000000,2022-04-19 03:49:10,1710,50.0,53,19.0,211.0,80.0,237.0,516,The worlds cleanest AutoML framework - Do hyperparameter tuning with the right pipeline abstractions to write clean..,7.0,24,True,2022-04-15 23:19:03.000,0.7.0,23.0,neuraxle,,,,,32.0,31.0,https://pypi.org/project/neuraxle,2022-04-15 21:08:21.000,1.0,459.0,459.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n538,python-soundfile,bastibe/python-soundfile,audio,,https://github.com/bastibe/python-soundfile,https://github.com/bastibe/python-soundfile,BSD-3-Clause,2013-08-27 13:36:52.000,2022-04-02 05:34:39.000000,2022-02-23 08:02:30,505,2.0,68,16.0,170.0,66.0,101.0,446,\"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.\",24.0,24,True,2019-12-04 10:03:39.000,0.10.3post1,9.0,soundfile,anaconda/pysoundfile,,,,539.0,,https://pypi.org/project/soundfile,2019-11-27 12:16:19.000,539.0,1024114.0,1024145.0,https://anaconda.org/anaconda/pysoundfile,,,,,,,3.0,3145.0,,,,,,,,,,,,,,,,,,,,\n539,findspark,minrk/findspark,others,,https://github.com/minrk/findspark,https://github.com/minrk/findspark,BSD-3-Clause,2015-06-12 21:34:06.000,2022-02-11 17:17:32.393000,2022-02-11 07:59:35,77,5.0,67,8.0,17.0,12.0,11.0,436,Find pyspark to make it importable.,15.0,24,True,2022-02-11 08:02:06.000,2.0.1,14.0,findspark,conda-forge/findspark,,,['spark'],2556.0,2420.0,https://pypi.org/project/findspark,2022-02-11 08:02:06.000,136.0,2211506.0,2220453.0,https://anaconda.org/conda-forge/findspark,2022-02-11 17:17:32.393,635253.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n540,TensorFlow Cloud,tensorflow/cloud,tensorflow-utils,,https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59.000,2022-03-24 17:54:54.000000,2022-03-24 17:54:49,569,2.0,67,23.0,305.0,55.0,26.0,324,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,27.0,24,True,2021-06-17 01:15:10.000,0.1.16,19.0,tensorflow-cloud,,,,['tensorflow'],144.0,143.0,https://pypi.org/project/tensorflow-cloud,2021-06-17 01:15:10.000,1.0,179513.0,179513.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n541,whoosh,mchaput/whoosh,nlp,,https://github.com/mchaput/whoosh,https://github.com/mchaput/whoosh,BSD-1-Clause,2015-04-17 19:34:47.000,2022-03-14 21:30:23.000000,2022-01-15 18:08:37,1718,,39,9.0,8.0,17.0,2.0,223,Pure-Python full-text search library.,42.0,24,False,2016-04-04 01:19:40.000,2.7.4,141.0,whoosh,conda-forge/whoosh,,,,3658.0,,https://pypi.org/project/whoosh,2016-04-04 01:19:40.000,3658.0,171346.0,172804.0,https://anaconda.org/conda-forge/whoosh,2021-11-05 17:24:41.315,97732.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n542,mace,XiaoMi/mace,ml-frameworks,,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12.000,2022-04-16 16:42:13.000000,2022-02-11 11:53:32,3328,2.0,788,230.0,106.0,45.0,613.0,4608,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,63.0,23,True,2022-01-13 09:55:14.000,1.1.1,12.0,,,,,,,,,,,,31.0,,,,,,,,3.0,1407.0,,,,,,,,,,,,,,,,,,,,\n543,deep-daze,lucidrains/deep-daze,image,,https://github.com/lucidrains/deep-daze,https://github.com/lucidrains/deep-daze,MIT,2021-01-17 06:00:50.000,2022-03-13 19:09:50.000000,2022-03-13 19:08:59,231,1.0,302,75.0,37.0,89.0,73.0,4181,Simple command line tool for text to image generation using OpenAIs CLIP and Siren (Implicit neural representation..,13.0,23,True,2022-03-13 19:09:50.000,0.11.1,67.0,deep-daze,,,,,38.0,38.0,https://pypi.org/project/deep-daze,2022-03-13 19:09:50.000,,2028.0,2028.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n544,neon,NervanaSystems/neon,ml-frameworks,,https://github.com/NervanaSystems/neon,https://github.com/NervanaSystems/neon,Apache-2.0,2014-10-16 01:00:17.000,2022-05-02 20:25:45.287000,2019-05-22 18:27:54,1118,,832,333.0,89.0,90.0,306.0,3861,Intel Nervana reference deep learning framework committed to best performance on all hardware.,108.0,23,False,2018-01-05 23:25:04.000,2.6.0,32.0,nervananeon,anaconda/neon,,,,1.0,,https://pypi.org/project/nervananeon,2018-01-05 23:25:04.000,1.0,17.0,35.0,https://anaconda.org/anaconda/neon,2022-05-02 20:25:45.287,1075.0,,,,,3.0,325.0,,,,,,,,,,,,,,,,,,,,\n545,Image Super-Resolution,idealo/image-super-resolution,image,,https://github.com/idealo/image-super-resolution,https://github.com/idealo/image-super-resolution,Apache-2.0,2018-11-26 13:41:13.000,2022-01-23 11:27:35.000000,2021-06-02 09:45:13,150,,619,99.0,32.0,89.0,109.0,3563,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,10.0,23,True,2020-01-08 15:37:35.000,2.2.0,11.0,ISR,,idealo/image-super-resolution-gpu,,['tensorflow'],87.0,82.0,https://pypi.org/project/ISR,2020-01-08 15:37:35.000,5.0,4480.0,4484.0,,,,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,,208.0,3.0,,,,,,,,,,,,,,,,,,,,,\n546,LIT,PAIR-code/lit,interpretability,,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000,2022-05-05 13:43:05.000000,2022-03-15 12:13:11,507,1.0,300,73.0,620.0,63.0,66.0,2917,The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and..,18.0,23,True,2021-12-21 14:29:03.000,0.4.1,7.0,lit-nlp,conda-forge/lit-nlp,,,,10.0,10.0,https://pypi.org/project/lit-nlp,2021-12-21 14:20:06.000,,1178.0,2864.0,https://anaconda.org/conda-forge/lit-nlp,2021-11-09 18:19:30.401,33731.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n547,vissl,facebookresearch/vissl,image,,https://github.com/facebookresearch/vissl,https://github.com/facebookresearch/vissl,MIT,2020-04-09 19:40:33.000,2022-05-03 22:39:53.000000,2022-05-03 22:38:25,381,42.0,264,53.0,404.0,44.0,96.0,2603,\"VISSL is FAIRs library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.\",31.0,23,True,2021-11-02 17:21:02.000,0.1.6,6.0,vissl,,,,['pytorch'],8.0,7.0,https://pypi.org/project/vissl,2021-11-02 15:36:07.000,1.0,394.0,394.0,,,,,,,,3.0,,,-2.0,,,,,,,,,,,,,,,,,,\n548,Kashgari,BrikerMan/Kashgari,nlp,,https://github.com/BrikerMan/Kashgari,https://github.com/BrikerMan/Kashgari,Apache-2.0,2019-01-19 01:53:28.000,2021-07-09 03:57:16.000000,2021-07-09 03:57:16,955,,434,66.0,122.0,38.0,328.0,2298,Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-..,21.0,23,True,2021-07-04 10:44:36.000,2.0.2,24.0,kashgari-tf,,,,['tensorflow'],54.0,52.0,https://pypi.org/project/kashgari-tf,2019-10-18 07:57:55.000,2.0,43.0,43.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n549,SRU,asappresearch/sru,pytorch-utils,,https://github.com/asappresearch/sru,https://github.com/asappresearch/sru,MIT,2017-08-28 20:37:41.000,2022-01-04 21:17:53.000000,2021-05-19 15:52:48,400,,300,68.0,78.0,57.0,67.0,2040,Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755).,21.0,23,True,2021-05-18 16:13:10.000,2.6.0,32.0,sru,,,,['pytorch'],21.0,18.0,https://pypi.org/project/sru,2021-06-17 23:33:37.000,3.0,1788.0,1788.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n550,Sweetviz,fbdesignpro/sweetviz,data-viz,,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47.000,2022-04-09 02:14:46.000000,2021-07-08 14:31:20,102,,200,49.0,11.0,27.0,71.0,2013,\"Visualize and compare datasets, target values and associations, with one line of code.\",6.0,23,True,2021-07-08 14:32:09.000,2.1.3,31.0,sweetviz,conda-forge/sweetviz,,,,5.0,,https://pypi.org/project/sweetviz,2021-07-08 14:32:09.000,5.0,80399.0,81034.0,https://anaconda.org/conda-forge/sweetviz,2021-07-09 00:00:54.236,9529.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n551,AmpliGraph,Accenture/AmpliGraph,graph,,https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05.000,2022-04-30 21:09:56.000000,2021-05-25 16:49:48,947,,200,61.0,58.0,21.0,182.0,1734,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,19.0,23,True,2021-05-25 16:57:42.000,1.4.0,12.0,ampligraph,,,,['tensorflow'],20.0,20.0,https://pypi.org/project/ampligraph,2021-05-25 16:47:29.000,,950.0,950.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n552,Torchmeta,tristandeleu/pytorch-meta,pytorch-utils,,https://github.com/tristandeleu/pytorch-meta,https://github.com/tristandeleu/pytorch-meta,MIT,2018-12-04 23:36:45.000,2022-01-10 12:07:24.000000,2021-09-20 16:03:46,382,,203,39.0,30.0,42.0,89.0,1614,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.,12.0,23,True,2021-09-20 16:06:33.000,1.8.0,28.0,torchmeta,,,,['pytorch'],89.0,89.0,https://pypi.org/project/torchmeta,2021-09-20 16:06:33.000,,1832.0,1832.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n553,Karate Club,benedekrozemberczki/karateclub,graph,,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56.000,2022-01-28 14:45:25.910000,2022-01-22 19:25:00,2206,,188,38.0,18.0,1.0,72.0,1595,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,13.0,23,False,2022-01-22 19:35:55.000,_10203,102.0,karateclub,conda-forge/karateclub,,,,86.0,84.0,https://pypi.org/project/karateclub,2022-01-22 19:34:31.000,2.0,2635.0,3020.0,https://anaconda.org/conda-forge/karateclub,2022-01-28 14:45:25.910,8488.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n554,auto_ml,ClimbsRocks/auto_ml,hyperopt,,https://github.com/ClimbsRocks/auto_ml,https://github.com/ClimbsRocks/auto_ml,MIT,2016-08-07 21:35:08.000,2021-02-10 07:52:35.000000,2018-03-25 19:46:25,1149,,299,95.0,45.0,185.0,216.0,1571,[UNMAINTAINED] Automated machine learning for analytics & production.,13.0,23,False,2018-02-22 01:13:03.000,2.9.10,78.0,auto_ml,,,,,3.0,,https://pypi.org/project/auto_ml,2018-02-22 01:13:03.000,3.0,2097.0,2097.0,,,,,,,,3.0,38.0,,,,,,,,,,,,,,,,,,,,\n555,FinTA,peerchemist/finta,financial-data,,https://github.com/peerchemist/finta,https://github.com/peerchemist/finta,LGPL-3.0,2016-09-01 21:02:46.000,2021-10-19 18:06:53.000000,2021-10-19 18:06:53,392,,501,77.0,46.0,19.0,63.0,1552,Common financial technical indicators implemented in Pandas.,27.0,23,False,2021-04-03 08:51:49.000,1.3,19.0,finta,,,,,195.0,189.0,https://pypi.org/project/finta,2020-10-21 11:39:44.000,6.0,6881.0,6881.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n556,sklearn-contrib-lightning,scikit-learn-contrib/lightning,sklearn-utils,,https://github.com/scikit-learn-contrib/lightning,https://github.com/scikit-learn-contrib/lightning,BSD-3-Clause,2012-01-11 13:53:52.000,2022-01-30 01:28:10.000000,2022-01-30 01:22:30,743,,198,38.0,110.0,51.0,42.0,1551,\"Large-scale linear classification, regression and ranking in Python.\",17.0,23,True,2022-01-30 01:10:13.000,0.6.2.post0,12.0,sklearn-contrib-lightning,conda-forge/sklearn-contrib-lightning,,,['sklearn'],108.0,102.0,https://pypi.org/project/sklearn-contrib-lightning,2022-01-30 00:43:43.000,6.0,1827.0,4180.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2021-11-13 15:37:21.493,163376.0,,,,,3.0,226.0,,,,,,,,,,,,,,,,,,,,\n557,Magnitude,plasticityai/magnitude,nn-search,,https://github.com/plasticityai/magnitude,https://github.com/plasticityai/magnitude,MIT,2018-02-24 07:28:16.000,2021-02-23 18:10:43.000000,2020-07-17 20:19:46,350,,106,37.0,9.0,30.0,51.0,1514,\"A fast, efficient universal vector embedding utility package.\",4.0,23,False,2020-05-25 11:26:36.000,0.1.143,128.0,pymagnitude,,,,,234.0,223.0,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36.000,11.0,3922.0,3922.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n558,EfficientNets,rwightman/gen-efficientnet-pytorch,pytorch-utils,,https://github.com/rwightman/gen-efficientnet-pytorch,https://github.com/rwightman/gen-efficientnet-pytorch,Apache-2.0,2019-05-11 19:35:56.000,2021-07-08 19:05:05.000000,2021-07-08 19:03:55,108,,193,44.0,11.0,2.0,51.0,1464,\"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.\",5.0,23,True,2021-07-08 19:05:05.000,1.0.2,10.0,geffnet,,,,['pytorch'],101.0,100.0,https://pypi.org/project/geffnet,2021-07-08 19:05:05.000,1.0,11317.0,11317.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n559,Classy Vision,facebookresearch/ClassyVision,image,,https://github.com/facebookresearch/ClassyVision,https://github.com/facebookresearch/ClassyVision,MIT,2019-09-13 22:54:44.000,2022-04-29 18:31:12.000000,2022-04-29 18:29:56,408,11.0,253,50.0,714.0,53.0,61.0,1445,An end-to-end PyTorch framework for image and video classification.,75.0,23,True,2021-07-19 20:08:51.000,0.6.0,17.0,classy_vision,conda-forge/classy_vision,,,['pytorch'],2.0,,https://pypi.org/project/classy_vision,2021-07-09 22:58:06.000,2.0,2231.0,2665.0,https://anaconda.org/conda-forge/classy_vision,2022-03-22 13:12:30.498,12158.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n560,Higher,facebookresearch/higher,pytorch-utils,,https://github.com/facebookresearch/higher,https://github.com/facebookresearch/higher,Apache-2.0,2019-09-06 18:58:36.000,2022-03-25 15:56:51.000000,2021-10-26 07:08:33,31,,98,29.0,31.0,49.0,50.0,1386,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,9.0,23,True,2020-07-14 12:20:32.000,0.2.1,2.0,higher,,,,['pytorch'],136.0,134.0,https://pypi.org/project/higher,2020-07-14 12:20:32.000,2.0,12089.0,12089.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n561,sense2vec,explosion/sense2vec,nlp,,https://github.com/explosion/sense2vec,https://github.com/explosion/sense2vec,MIT,2016-01-23 22:15:49.000,2021-08-16 11:44:51.000000,2021-08-16 11:44:51,454,,227,45.0,41.0,20.0,88.0,1370,Contextually-keyed word vectors.,17.0,23,True,2021-04-19 07:05:28.000,3.0.0,22.0,sense2vec,conda-forge/sense2vec,,,,144.0,136.0,https://pypi.org/project/sense2vec,2021-04-19 07:05:28.000,8.0,3530.0,4885.0,https://anaconda.org/conda-forge/sense2vec,2021-07-14 13:20:19.752,24746.0,,,,,3.0,28565.0,,,,,,,,,,,,,,,,,,,,\n562,Pypeline,cgarciae/pypeln,data-pipelines,,https://github.com/cgarciae/pypeln,https://github.com/cgarciae/pypeln,MIT,2018-09-01 13:43:31.000,2022-04-02 05:56:31.000000,2022-01-06 15:29:14,238,,80,38.0,35.0,15.0,43.0,1332,Concurrent data pipelines in Python .,12.0,23,True,2022-01-06 15:32:49.000,0.4.9,36.0,pypeln,conda-forge/pypeln,,,,9.0,,https://pypi.org/project/pypeln,2022-01-06 15:32:39.000,9.0,8227.0,8500.0,https://anaconda.org/conda-forge/pypeln,2022-01-06 18:29:36.168,6006.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n563,graph4nlp,graph4ai/graph4nlp,graph,,https://github.com/graph4ai/graph4nlp,https://github.com/graph4ai/graph4nlp,Apache-2.0,2020-07-16 03:28:48.000,2022-05-02 08:48:41.000000,2022-05-02 08:48:41,1938,16.0,162,25.0,414.0,15.0,131.0,1290,Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website..,27.0,23,True,2022-01-20 18:07:32.000,0.5.5,11.0,graph4nlp,,,,['pytorch'],,,https://pypi.org/project/graph4nlp,2022-01-20 15:18:44.000,,75.0,75.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n564,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,pytorch-utils,,https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000,2022-04-24 12:02:11.000000,2022-04-24 12:02:07,834,13.0,94,27.0,47.0,6.0,21.0,1232,PyTorch extensions for fast R&D prototyping and Kaggle farming.,7.0,23,True,2022-03-10 21:22:46.000,0.5.0,23.0,pytorch_toolbelt,,,,['pytorch'],6.0,,https://pypi.org/project/pytorch_toolbelt,2022-03-10 21:22:46.000,6.0,7272.0,7272.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n565,TaskTiger,closeio/tasktiger,data-pipelines,,https://github.com/closeio/tasktiger,https://github.com/closeio/tasktiger,MIT,2015-05-14 00:26:32.000,2022-05-02 10:00:53.000000,2022-04-25 12:38:59,286,13.0,62,43.0,164.0,33.0,35.0,1118,Python task queue using Redis.,25.0,23,True,2021-12-02 17:42:13.000,0.16,26.0,tasktiger,,,,,32.0,22.0,https://pypi.org/project/tasktiger,2021-12-02 18:08:25.000,10.0,1072.0,1072.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n566,Sockeye,awslabs/sockeye,nlp,,https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30.000,2022-05-05 08:46:06.000000,2022-05-04 14:38:57,806,20.0,310,49.0,760.0,7.0,272.0,1064,Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch.,56.0,23,True,2022-05-05 08:46:06.000,3.1.14,80.0,sockeye,,,,['mxnet'],2.0,,https://pypi.org/project/sockeye,2022-05-05 08:46:06.000,2.0,561.0,561.0,,,,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,,,\n567,CrypTen,facebookresearch/CrypTen,privacy-ml,,https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000,2022-04-22 23:58:10.000000,2022-04-22 23:57:12,330,12.0,171,34.0,239.0,24.0,121.0,1054,A framework for Privacy Preserving Machine Learning.,28.0,23,True,2021-09-09 15:15:11.000,0.4.0,2.0,crypten,,,,['pytorch'],18.0,18.0,https://pypi.org/project/crypten,2021-09-09 15:15:11.000,,254.0,254.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n568,advertorch,BorealisAI/advertorch,adversarial,,https://github.com/BorealisAI/advertorch,https://github.com/BorealisAI/advertorch,GPL-3.0,2018-11-29 22:17:33.000,2022-04-16 03:54:14.000000,2022-04-16 03:52:00,299,11.0,169,30.0,56.0,19.0,33.0,1051,A Toolbox for Adversarial Robustness Research.,21.0,23,False,2020-06-15 01:20:07.000,0.2.3,10.0,advertorch,,,,['pytorch'],77.0,73.0,https://pypi.org/project/advertorch,2020-06-15 01:20:07.000,4.0,636.0,636.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n569,ChainerRL,chainer/chainerrl,reinforcement-learning,,https://github.com/chainer/chainerrl,https://github.com/chainer/chainerrl,MIT,2017-01-30 04:58:15.000,2021-08-10 18:25:48.000000,2021-04-17 06:02:30,3471,,211,73.0,415.0,75.0,147.0,1047,ChainerRL is a deep reinforcement learning library built on top of Chainer.,29.0,23,False,2020-02-14 05:35:56.000,0.8.0,10.0,chainerrl,,,,,126.0,118.0,https://pypi.org/project/chainerrl,2020-02-14 05:35:56.000,8.0,402.0,402.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n570,DALEX,ModelOriented/DALEX,interpretability,,https://github.com/ModelOriented/DALEX,https://github.com/ModelOriented/DALEX,GPL-3.0,2018-02-18 03:24:12.000,2022-04-27 13:01:22.000000,2022-04-27 12:48:09,618,18.0,130,45.0,150.0,13.0,335.0,1039,moDel Agnostic Language for Exploration and eXplanation.,20.0,23,False,2021-11-08 12:22:11.000,1.4.1,23.0,dalex,conda-forge/dalex,,,,42.0,39.0,https://pypi.org/project/dalex,2021-11-08 12:22:11.000,3.0,10139.0,10336.0,https://anaconda.org/conda-forge/dalex,2021-07-17 15:59:19.192,3157.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n571,Feature Engine,solegalli/feature_engine,others,,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2020-08-06 19:43:35.639,2022-05-05 10:28:40.554000,2021-08-06 12:03:40,126,,202,1.0,1.0,,,856,Feature engineering package with sklearn like functionality.,24.0,23,True,2022-05-05 07:33:38.000,1.3.0,30.0,feature_engine,conda-forge/feature_engine,,,,66.0,,https://pypi.org/project/feature_engine,2022-05-05 07:33:38.000,66.0,69767.0,70170.0,https://anaconda.org/conda-forge/feature_engine,2022-05-05 10:28:40.554,8467.0,,,,,3.0,,,5.0,,,,,,,,,,,,,,,,,,\n572,GPUtil,anderskm/gputil,gpu-utilities,,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43.000,2020-10-01 05:42:49.000000,2019-08-16 09:00:15,140,,94,11.0,17.0,12.0,14.0,854,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,13.0,23,False,2018-12-18 09:12:13.000,1.4.0,8.0,gputil,,,,,2106.0,2010.0,https://pypi.org/project/gputil,2018-12-18 09:12:13.000,96.0,597249.0,597249.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n573,kapre,keunwoochoi/kapre,audio,,https://github.com/keunwoochoi/kapre,https://github.com/keunwoochoi/kapre,MIT,2016-12-14 18:36:36.000,2022-01-21 20:10:47.000000,2022-01-21 20:08:28,194,,140,21.0,44.0,12.0,82.0,820,kapre: Keras Audio Preprocessors.,13.0,23,True,2022-01-21 20:10:47.000,Kapre-0.3.7,23.0,kapre,,,,['tensorflow'],1562.0,1548.0,https://pypi.org/project/kapre,2022-01-21 20:09:21.000,14.0,3528.0,3528.0,,,,,,,,3.0,22.0,,,,,,,,,,,,,,,,,,,,\n574,YouTokenToMe,vkcom/youtokentome,nlp,,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28.000,2022-04-18 21:14:28.476000,2021-01-28 19:04:09,79,,59,23.0,42.0,28.0,23.0,804,Unsupervised text tokenizer focused on computational efficiency.,6.0,23,False,2020-02-13 09:57:47.000,1.0.6,14.0,youtokentome,conda-forge/youtokentome,,,,267.0,252.0,https://pypi.org/project/youtokentome,2020-02-12 18:24:46.000,15.0,38829.0,39688.0,https://anaconda.org/conda-forge/youtokentome,2022-04-18 21:14:28.476,6872.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n575,RLax,deepmind/rlax,reinforcement-learning,,https://github.com/deepmind/rlax,https://github.com/deepmind/rlax,Apache-2.0,2020-02-18 07:14:59.000,2022-04-13 16:07:51.000000,2022-04-12 23:32:31,157,10.0,61,28.0,54.0,12.0,12.0,788,A library of reinforcement learning building blocks in JAX.,17.0,23,True,2022-02-24 15:27:59.000,0.1.2,7.0,rlax,,,,['jax'],48.0,47.0,https://pypi.org/project/rlax,2022-02-24 15:27:59.000,1.0,4701.0,4701.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n576,AutoViz,AutoViML/AutoViz,data-viz,,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06.000,2022-04-28 15:21:36.099000,2022-04-28 01:06:33,132,9.0,105,28.0,16.0,4.0,50.0,695,\"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..\",12.0,23,True,2022-04-28 01:11:35.000,0.1.39,51.0,autoviz,conda-forge/autoviz,,,,176.0,170.0,https://pypi.org/project/autoviz,2022-04-28 01:11:35.000,6.0,53205.0,53652.0,https://anaconda.org/conda-forge/autoviz,2022-04-28 15:21:36.099,4025.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n577,Mapbox GL,mapbox/mapboxgl-jupyter,geospatial-data,,https://github.com/mapbox/mapboxgl-jupyter,https://github.com/mapbox/mapboxgl-jupyter,MIT,2017-08-08 15:10:51.000,2022-01-11 05:18:07.000000,2021-04-19 05:00:36,221,,126,110.0,91.0,35.0,67.0,605,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,21.0,23,False,2019-06-03 21:24:10.000,0.10.2,20.0,mapboxgl,,,,['jupyter'],148.0,134.0,https://pypi.org/project/mapboxgl,2019-06-02 15:18:57.000,14.0,11538.0,11538.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n578,combo,yzhao062/combo,sklearn-utils,,https://github.com/yzhao062/combo,https://github.com/yzhao062/combo,BSD-2-Clause,2019-07-14 01:13:36.000,2022-04-02 16:20:07.000000,2021-10-02 13:57:52,207,,99,27.0,1.0,11.0,3.0,577,(AAAI 20) A Python Toolbox for Machine Learning Model Combination.,1.0,23,True,2022-04-02 16:20:07.000,0.1.3,13.0,combo,,,,\"['sklearn', 'xgboost']\",460.0,457.0,https://pypi.org/project/combo,2022-04-02 16:20:07.000,3.0,29443.0,29443.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n579,equinox,patrick-kidger/equinox,jax-utils,,https://github.com/patrick-kidger/equinox,https://github.com/patrick-kidger/equinox,Apache-2.0,2021-07-29 02:21:39.000,2022-05-05 11:51:38.000000,2022-05-04 10:48:58,263,145.0,25,13.0,45.0,10.0,25.0,492,Callable PyTrees and filtered JIT/grad transformations = neural networks in JAX.,5.0,23,True,2022-04-08 09:55:42.000,0.4.0,17.0,equinox,,,,['jax'],19.0,17.0,https://pypi.org/project/equinox,2022-04-08 09:55:42.000,2.0,1742.0,1742.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n580,pivottablejs,nicolaskruchten/jupyter_pivottablejs,data-viz,,https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,MIT,2015-09-09 13:39:18.000,2022-05-02 20:28:33.947000,2018-12-04 14:43:25,32,,62,21.0,7.0,17.0,40.0,465,\"Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js.\",3.0,23,False,2018-01-15 18:14:37.000,0.9.0,10.0,pivottablejs,anaconda/pivottablejs,,,['jupyter'],254.0,232.0,https://pypi.org/project/pivottablejs,2018-01-15 18:14:37.000,22.0,11280.0,11296.0,https://anaconda.org/anaconda/pivottablejs,2022-05-02 20:28:33.947,1266.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n581,BioPandas,rasbt/biopandas,others,,https://github.com/rasbt/biopandas,https://github.com/rasbt/biopandas,BSD-3-Clause,2015-11-21 00:00:14.000,2022-05-01 15:36:37.000000,2022-04-13 00:55:05,202,35.0,96,14.0,56.0,17.0,25.0,447,Working with molecular structures in pandas DataFrames.,10.0,23,True,2022-04-07 03:06:27.000,0.3.0,15.0,biopandas,conda-forge/biopandas,,,['pandas'],112.0,98.0,https://pypi.org/project/biopandas,2022-04-07 03:06:27.000,14.0,4723.0,6319.0,https://anaconda.org/conda-forge/biopandas,2021-08-31 18:19:35.536,103741.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n582,pySBD,nipunsadvilkar/pySBD,nlp,,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20.000,2022-03-09 20:20:37.000000,2021-02-11 16:40:18,279,,52,11.0,44.0,13.0,50.0,436,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,6.0,23,False,2021-02-11 16:42:37.000,0.3.4,15.0,pysbd,conda-forge/pysbd,,,,340.0,337.0,https://pypi.org/project/pysbd,2021-02-11 16:36:33.000,3.0,46291.0,46334.0,https://anaconda.org/conda-forge/pysbd,2021-10-11 20:47:46.408,305.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n583,Towhee,towhee-io/towhee,ml-frameworks,,https://github.com/towhee-io/towhee,https://github.com/towhee-io/towhee,Apache-2.0,2021-07-13 08:28:50.000,2022-05-05 14:10:19.000000,2022-05-05 08:39:50,578,346.0,85,12.0,860.0,46.0,276.0,433,A framework that provides a simple API for developing ML-driven data processing and search pipelines.,24.0,23,True,2022-03-30 12:28:44.000,0.5.1,11.0,towhee,,,,,,,https://pypi.org/project/towhee,2022-03-30 12:28:44.000,,474.0,475.0,,,,,,,,3.0,9.0,,,,,,,,,,,,,,,,,,,,\n584,detoxify,unitaryai/detoxify,nlp,,https://github.com/unitaryai/detoxify,https://github.com/unitaryai/detoxify,Apache-2.0,2020-09-23 15:24:21.000,2022-04-20 18:27:18.000000,2022-04-20 18:27:18,200,10.0,49,11.0,20.0,17.0,17.0,418,Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using Pytorch..,6.0,23,True,2022-04-12 17:23:22.000,0.5.0,11.0,detoxify,,,,,83.0,81.0,https://pypi.org/project/detoxify,2022-04-12 17:23:22.000,2.0,8241.0,10546.0,,,,,,,,3.0,41494.0,,,,,,,,,,,,,,,,,,,,\n585,NIPY,nipy/nipy,medical-data,,https://github.com/nipy/nipy,https://github.com/nipy/nipy,BSD-3-Clause,2010-05-02 10:00:33.000,2021-12-05 02:53:17.000000,2021-03-29 16:56:48,6427,,130,36.0,341.0,45.0,111.0,321,Neuroimaging in Python FMRI analysis package.,63.0,23,False,2018-02-19 14:14:08.000,0.4.2,6.0,nipy,conda-forge/nipy,,,,47.0,,https://pypi.org/project/nipy,2018-02-19 14:14:08.000,47.0,1575.0,3145.0,https://anaconda.org/conda-forge/nipy,2020-05-04 19:38:04.112,91085.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n586,MONAILabel,Project-MONAI/MONAILabel,others,,https://github.com/Project-MONAI/MONAILabel,https://github.com/Project-MONAI/MONAILabel,Apache-2.0,2021-03-26 15:25:10.000,2022-05-05 13:48:36.000000,2022-05-05 13:48:35,607,97.0,58,16.0,462.0,47.0,206.0,232,MONAI Label is an intelligent open source image labeling and learning tool.,23.0,23,False,2022-02-28 16:50:02.000,0.3.2,43.0,monailabel-weekly,,,,,,,https://pypi.org/project/monailabel-weekly,2022-05-01 03:00:33.000,,778.0,1546.0,,,,,,,,3.0,7687.0,,,,,,,,,,,,,,,,,,,,\n587,featurewiz,AutoViML/featurewiz,hyperopt,,https://github.com/AutoViML/featurewiz,https://github.com/AutoViML/featurewiz,Apache-2.0,2020-11-29 16:46:16.000,2022-04-25 00:53:26.000000,2022-04-25 00:52:49,199,44.0,48,3.0,2.0,1.0,28.0,229,Use advanced feature engineering strategies and select best features from your data set with a single line of code.,4.0,23,False,2022-04-25 00:53:26.000,0.1.41,97.0,featurewiz,,,,,11.0,10.0,https://pypi.org/project/featurewiz,2022-04-25 00:53:26.000,1.0,7539.0,7539.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n588,miceforest,AnotherSamWilson/miceforest,tabular,,https://github.com/AnotherSamWilson/miceforest,https://github.com/AnotherSamWilson/miceforest,MIT,2020-08-22 00:00:22.000,2022-04-20 11:10:35.000000,2022-04-20 11:10:30,179,10.0,15,5.0,3.0,8.0,29.0,150,Multiple Imputation with Random Forests in Python.,6.0,23,False,2022-04-15 14:53:33.000,5.4.0,35.0,miceforest,conda-forge/miceforest,,,,24.0,24.0,https://pypi.org/project/miceforest,2022-04-15 14:53:33.000,,73240.0,73358.0,https://anaconda.org/conda-forge/miceforest,2021-11-06 17:21:06.525,1181.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,,\n589,TTS,mozilla/TTS,audio,,https://github.com/mozilla/TTS,https://github.com/mozilla/TTS,MPL-2.0,2018-01-23 14:22:06.000,2022-04-23 22:56:37.000000,2021-02-12 10:36:31,2184,,899,157.0,210.0,13.0,526.0,5891,Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts).,56.0,22,False,2021-01-29 00:03:56.000,0.0.9,1.0,,,,,,,,,,,,133.0,,,,,,,,3.0,2132.0,,,,,,,,,,,,,,,,,,,,\n590,Dejavu,worldveil/dejavu,audio,,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35.000,2020-10-29 17:40:17.000000,2020-06-03 05:58:03,146,,1276,263.0,64.0,84.0,129.0,5717,Audio fingerprinting and recognition in Python.,23.0,22,False,2015-04-19 21:20:16.000,0.1.3,4.0,PyDejavu,,,,,25.0,22.0,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16.000,3.0,74.0,74.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n591,Image Deduplicator,idealo/imagededup,image,,https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54.000,2021-12-28 20:14:53.000000,2020-11-23 17:40:40,460,,361,60.0,73.0,42.0,59.0,4026,Finding duplicate images made easy!.,10.0,22,False,2020-11-23 17:55:24.000,0.2.4,9.0,imagededup,,,,['tensorflow'],27.0,25.0,https://pypi.org/project/imagededup,2020-11-22 21:09:36.000,2.0,1975.0,1975.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n592,Crypto Signals,CryptoSignal/crypto-signal,financial-data,,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24.000,2022-03-20 21:23:35.000000,2021-06-28 16:44:17,564,,1028,302.0,195.0,54.0,205.0,3984,\"Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 3,100+ stars, 900+ forks.\",28.0,22,True,,,,,,shadowreaver/crypto-signal,,,,,,,,,2535.0,,,,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133,7.0,142002.0,3.0,,,,,,,,,,,,,,,,,,,,,\n593,TRFL,deepmind/trfl,reinforcement-learning,,https://github.com/deepmind/trfl,https://github.com/deepmind/trfl,Apache-2.0,2018-08-08 14:44:11.000,2021-08-16 12:19:16.000000,2021-08-16 11:45:18,123,,375,212.0,8.0,6.0,16.0,3127,TensorFlow Reinforcement Learning.,13.0,22,True,2021-08-16 12:19:16.000,1.2.0,5.0,trfl,,,,['tensorflow'],81.0,78.0,https://pypi.org/project/trfl,2021-08-16 12:19:16.000,3.0,5521.0,5521.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n594,tf-quant-finance,google/tf-quant-finance,financial-data,,https://github.com/google/tf-quant-finance,https://github.com/google/tf-quant-finance,Apache-2.0,2019-07-24 16:09:50.000,2022-04-27 10:36:47.000000,2022-04-27 10:30:41,877,35.0,417,161.0,32.0,21.0,21.0,3065,High-performance TensorFlow library for quantitative finance.,39.0,22,True,,,27.0,tf-quant-finance,,,,['tensorflow'],2.0,,https://pypi.org/project/tf-quant-finance,2022-04-27 10:36:47.000,2.0,904.0,904.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n595,dpark,douban/dpark,data-pipelines,,https://github.com/douban/dpark,https://github.com/douban/dpark,BSD-3-Clause,2012-04-11 08:35:06.000,2020-12-25 10:36:06.000000,2020-12-25 10:36:05,1467,,554,266.0,30.0,,60.0,2680,\"Python clone of Spark, a MapReduce alike framework in Python.\",35.0,22,False,2018-07-27 04:11:36.000,0.5.0,19.0,dpark,,,,['spark'],6.0,5.0,https://pypi.org/project/dpark,2018-07-27 04:11:36.000,1.0,47.0,47.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n596,PandasGUI,adamerose/pandasgui,data-viz,,https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT-0,2019-06-12 02:19:42.000,2022-03-16 17:52:29.000000,2022-03-16 17:52:29,715,2.0,172,53.0,31.0,42.0,115.0,2632,A GUI for Pandas DataFrames.,13.0,22,False,2021-08-14 09:14:51.000,0.2.13,43.0,pandasgui,conda-forge/pandasgui,,,['pandas'],160.0,155.0,https://pypi.org/project/pandasgui,2021-08-14 09:14:51.000,5.0,4949.0,5589.0,https://anaconda.org/conda-forge/pandasgui,2021-02-13 06:39:51.463,10241.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n597,Texthero,jbesomi/texthero,nlp,,https://github.com/jbesomi/texthero,https://github.com/jbesomi/texthero,MIT,2020-04-06 15:16:05.000,2021-07-19 13:56:08.000000,2021-07-19 13:56:08,269,,211,45.0,105.0,76.0,61.0,2492,\"Text preprocessing, representation and visualization from zero to hero.\",18.0,22,True,2021-07-01 17:11:02.000,1.1.0,10.0,texthero,,,,,4.0,,https://pypi.org/project/texthero,2021-07-01 17:11:02.000,4.0,13731.0,13734.0,,,,,,,,3.0,90.0,,,,,,,,,,,,,,,,,,,,\n598,Luminoth,tryolabs/luminoth,image,,https://github.com/tryolabs/luminoth,https://github.com/tryolabs/luminoth,BSD-3-Clause,2017-02-16 15:07:46.000,2022-02-10 01:50:51.000000,2020-01-07 20:53:25,838,,413,132.0,131.0,60.0,128.0,2388,Deep Learning toolkit for Computer Vision.,15.0,22,False,2018-11-09 21:35:17.000,0.2.3,10.0,luminoth,,,,['tensorflow'],42.0,40.0,https://pypi.org/project/luminoth,2018-11-09 21:35:17.000,2.0,885.0,1111.0,,,,,,,,3.0,12450.0,,,,,,,,,,,,,,,,,,,,\n599,Texar,asyml/texar,nlp,,https://github.com/asyml/texar,https://github.com/asyml/texar,Apache-2.0,2017-07-22 19:02:05.000,2021-08-26 09:49:50.000000,2020-07-29 00:38:30,1719,,362,78.0,144.0,33.0,126.0,2283,\"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the..\",43.0,22,False,2019-11-19 04:11:18.000,0.2.4,6.0,texar,,,,['tensorflow'],22.0,20.0,https://pypi.org/project/texar,2019-11-19 04:11:18.000,2.0,73.0,73.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n600,BlazingSQL,BlazingDB/blazingsql,gpu-utilities,,https://github.com/BlazingDB/blazingsql,https://github.com/BlazingDB/blazingsql,Apache-2.0,2018-09-24 18:25:45.000,2022-03-08 21:17:32.000000,2021-09-30 21:51:09,8208,,168,51.0,894.0,129.0,586.0,1743,\"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.\",49.0,22,True,2021-08-16 15:40:43.000,21.08.00,19.0,,blazingsql/blazingsql-protocol,,,,,,,,,,29.0,https://anaconda.org/blazingsql/blazingsql-protocol,2019-11-11 19:54:17.621,941.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n601,FARM,deepset-ai/FARM,nlp,,https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12.000,2022-04-25 08:34:07.000000,2022-04-25 08:32:55,593,1.0,217,55.0,442.0,38.0,397.0,1513,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,37.0,22,True,2021-06-10 09:45:12.000,0.8.0,24.0,farm,conda-forge/farm,,,['pytorch'],2.0,,https://pypi.org/project/farm,2021-06-10 09:41:53.000,2.0,4119.0,4196.0,https://anaconda.org/conda-forge/farm,2021-06-14 12:34:06.874,1008.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n602,TNT,pytorch/tnt,ml-experiments,,https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58.000,2021-01-22 09:14:29.000000,2021-01-05 19:36:17,156,,192,45.0,79.0,30.0,35.0,1385,\"Simple tools for logging and visualizing, loading and training.\",35.0,22,False,2019-11-15 12:57:59.000,0.0.5.1,3.0,torchnet,,,,['pytorch'],36.0,,https://pypi.org/project/torchnet,2018-07-29 23:16:03.000,36.0,7041.0,7041.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n603,Norfair,tryolabs/norfair,image,,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000,2022-05-03 15:28:38.000000,2022-04-27 21:41:45,327,42.0,123,31.0,53.0,18.0,39.0,1356,Lightweight Python library for adding real-time object tracking to any detector.,12.0,22,True,2022-04-19 20:21:46.000,0.4.3,14.0,norfair,,,,,1.0,,https://pypi.org/project/norfair,2022-04-19 20:21:46.000,1.0,3350.0,3353.0,,,,,,,,3.0,68.0,,,,,,,,,,,,,,,,,,,,\n604,MLBox,AxeldeRomblay/MLBox,hyperopt,,https://github.com/AxeldeRomblay/MLBox,https://github.com/AxeldeRomblay/MLBox,BSD-1-Clause,2017-06-01 16:59:24.000,2022-02-10 00:14:04.000000,2020-08-25 09:26:27,1121,,262,64.0,44.0,18.0,74.0,1312,MLBox is a powerful Automated Machine Learning python library.,9.0,22,False,2020-08-25 09:32:37.000,0.8.5,21.0,mlbox,,,,,28.0,28.0,https://pypi.org/project/mlbox,2020-08-25 09:32:37.000,,1719.0,1719.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n605,DLTK,DLTK/DLTK,medical-data,,https://github.com/DLTK/DLTK,https://github.com/DLTK/DLTK,Apache-2.0,2017-05-02 15:40:36.000,2022-04-01 09:38:04.000000,2019-01-21 14:01:28,379,,390,102.0,30.0,11.0,24.0,1304,Deep Learning Toolkit for Medical Image Analysis.,9.0,22,False,2018-02-26 17:43:57.000,0.2.1,5.0,dltk,,,,['tensorflow'],23.0,23.0,https://pypi.org/project/dltk,2018-02-26 17:43:57.000,,235.0,235.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n606,tensorrec,jfkirk/tensorrec,recommender-systems,,https://github.com/jfkirk/tensorrec,https://github.com/jfkirk/tensorrec,Apache-2.0,2017-02-28 18:51:11.000,2022-03-11 23:26:22.000000,2020-02-04 21:10:25,334,,222,65.0,46.0,36.0,90.0,1185,A TensorFlow recommendation algorithm and framework in Python.,9.0,22,False,2019-04-02 00:53:47.000,0.26.2,30.0,tensorrec,,,,['tensorflow'],29.0,26.0,https://pypi.org/project/tensorrec,2019-04-02 00:53:47.000,3.0,727.0,727.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n607,rubrix,recognai/rubrix,nlp,,https://github.com/recognai/rubrix,https://github.com/recognai/rubrix,Apache-2.0,2021-04-28 14:37:42.000,2022-05-05 10:18:06.000000,2022-04-27 08:42:12,933,161.0,88,15.0,877.0,56.0,472.0,1049,\"Rubrix, open-source framework for data-centric NLP. Data annotation and monitoring for enterprise NLP.\",18.0,22,True,2022-04-27 09:34:53.000,0.13.3,60.0,rubrix,conda-forge/rubrix,,,,,,https://pypi.org/project/rubrix,2022-04-27 09:53:45.000,,1112.0,1288.0,https://anaconda.org/conda-forge/rubrix,2022-04-27 13:49:03.552,883.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n608,keract,philipperemy/keract,interpretability,,https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57.000,2022-01-24 10:17:05.000000,2022-01-24 10:17:05,385,,184,33.0,66.0,3.0,81.0,980,Layers Outputs and Gradients in Keras. Made easy.,16.0,22,True,2021-06-19 16:14:57.000,4.5.0,38.0,keract,,,,['tensorflow'],138.0,133.0,https://pypi.org/project/keract,2021-06-19 16:14:15.000,5.0,1171.0,1171.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n609,calamari,Calamari-OCR/calamari,ocr,,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,Apache-2.0,2018-03-20 15:22:29.000,2022-05-02 11:35:11.000000,2022-04-28 20:00:45,437,16.0,190,55.0,74.0,48.0,199.0,910,Line based ATR Engine based on OCRopy.,19.0,22,True,2022-03-21 11:52:48.000,2.2.2,34.0,calamari_ocr,,,,,2.0,,https://pypi.org/project/calamari_ocr,2018-11-13 11:24:45.000,2.0,1000.0,1000.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n610,Node2Vec,eliorc/node2vec,graph,,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000,2022-04-30 05:55:45.000000,2022-04-30 05:52:16,69,4.0,208,18.0,14.0,,74.0,895,Implementation of the node2vec algorithm.,11.0,22,True,2022-04-30 05:55:45.000,0.4.5,16.0,node2vec,conda-forge/node2vec,,,,15.0,,https://pypi.org/project/node2vec,2022-04-30 05:53:20.000,15.0,57658.0,58081.0,https://anaconda.org/conda-forge/node2vec,2020-04-25 22:41:13.714,20348.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n611,PFRL,pfnet/pfrl,reinforcement-learning,,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50.000,2022-03-14 08:29:44.000000,2022-03-14 08:29:44,406,17.0,111,99.0,110.0,27.0,39.0,828,PFRL: a PyTorch-based deep reinforcement learning library.,16.0,22,True,2021-07-07 02:43:23.000,0.3.0,5.0,pfrl,,,,,42.0,41.0,https://pypi.org/project/pfrl,2021-07-07 02:48:20.000,1.0,3175.0,3175.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n612,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,data-viz,,https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14.000,2022-03-25 13:49:39.000000,2022-03-25 13:48:28,300,9.0,98,23.0,28.0,31.0,66.0,773,Bokeh Plotting Backend for Pandas and GeoPandas.,14.0,22,True,2021-04-11 17:43:13.000,0.5.5,16.0,pandas-bokeh,,,,['pandas'],11.0,,https://pypi.org/project/pandas-bokeh,2021-04-11 17:43:13.000,11.0,10616.0,10616.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n613,TreeInterpreter,andosa/treeinterpreter,interpretability,,https://github.com/andosa/treeinterpreter,https://github.com/andosa/treeinterpreter,BSD-3-Clause,2015-08-02 20:26:21.000,2021-02-28 18:33:06.000000,2021-02-28 18:33:06,37,,135,26.0,17.0,24.0,4.0,707,Package for interpreting scikit-learns decision tree and random forest predictions.,11.0,22,False,2021-01-10 20:12:39.000,0.2.3,5.0,treeinterpreter,conda-forge/treeinterpreter,,,['sklearn'],245.0,235.0,https://pypi.org/project/treeinterpreter,2021-01-10 20:12:39.000,10.0,183726.0,183782.0,https://anaconda.org/conda-forge/treeinterpreter,2020-10-03 05:29:07.840,1081.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n614,Objax,google/objax,ml-frameworks,,https://github.com/google/objax,https://github.com/google/objax,Apache-2.0,2020-08-20 06:20:40.000,2022-03-18 16:32:35.000000,2022-03-18 16:32:35,431,7.0,59,26.0,142.0,45.0,59.0,691,Objax is a machine learning framework that provides an Object Oriented layer for JAX.,22.0,22,True,2022-02-01 00:17:20.000,1.6.0,9.0,objax,,,,['jax'],23.0,21.0,https://pypi.org/project/objax,2022-01-31 23:28:27.000,2.0,216.0,216.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n615,PDPbox,SauceCat/PDPbox,data-viz,,https://github.com/SauceCat/PDPbox,https://github.com/SauceCat/PDPbox,MIT,2017-06-26 08:01:54.000,2021-06-24 15:32:01.000000,2021-03-14 16:01:01,227,,113,18.0,23.0,23.0,38.0,674,python partial dependence plot toolbox.,7.0,22,False,2021-03-14 16:21:17.000,0.2.1,3.0,pdpbox,conda-forge/pdpbox,,,,521.0,495.0,https://pypi.org/project/pdpbox,2021-03-14 16:21:17.000,26.0,23908.0,24242.0,https://anaconda.org/conda-forge/pdpbox,2021-03-14 19:37:51.465,11388.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n616,NeoML,neoml-lib/neoml,ml-frameworks,,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000,2022-04-29 14:53:31.000000,2022-04-29 14:53:22,633,82.0,106,30.0,562.0,27.0,44.0,671,Machine learning framework for both deep learning and traditional algorithms.,30.0,22,True,2022-04-28 13:01:58.000,2.0.61,6.0,neoml,,,,,,,https://pypi.org/project/neoml,2022-04-28 13:01:58.000,,187.0,187.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n617,pdpipe,pdpipe/pdpipe,data-pipelines,,https://github.com/pdpipe/pdpipe,https://github.com/pdpipe/pdpipe,MIT,2017-01-24 20:37:22.000,2022-04-16 02:17:29.578000,2022-03-13 13:15:26,394,7.0,34,17.0,44.0,13.0,30.0,669,Easy pipelines for pandas DataFrames.,10.0,22,True,2022-03-13 14:29:49.000,0.2.3,78.0,pdpipe,conda-forge/pdpipe,,,['pandas'],45.0,40.0,https://pypi.org/project/pdpipe,2022-03-13 14:29:17.000,5.0,1464.0,1676.0,https://anaconda.org/conda-forge/pdpipe,2022-04-16 02:17:29.578,3830.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n618,vecstack,vecxoz/vecstack,others,,https://github.com/vecxoz/vecstack,https://github.com/vecxoz/vecstack,MIT,2016-11-08 13:23:21.000,2021-05-23 07:15:46.567000,2019-10-30 09:27:48,189,,75,21.0,12.0,,38.0,656,Python package for stacking (machine learning technique).,1.0,22,False,2019-08-12 16:09:01.000,0.4.0,6.0,vecstack,conda-forge/vecstack,,,,207.0,200.0,https://pypi.org/project/vecstack,2019-08-12 16:01:22.000,7.0,8745.0,8783.0,https://anaconda.org/conda-forge/vecstack,2021-05-23 07:15:46.567,464.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n619,iterative-stratification,trent-b/iterative-stratification,sklearn-utils,,https://github.com/trent-b/iterative-stratification,https://github.com/trent-b/iterative-stratification,BSD-3-Clause,2018-02-04 00:32:10.000,2021-11-11 01:20:14.000000,2021-11-11 01:20:14,55,,59,7.0,4.0,4.0,15.0,646,scikit-learn cross validators for iterative stratification of multilabel data.,6.0,22,True,2021-10-03 18:49:49.000,0.1.7,6.0,iterative-stratification,,,,['sklearn'],212.0,204.0,https://pypi.org/project/iterative-stratification,2021-10-03 18:49:49.000,8.0,903289.0,903289.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n620,Torchbearer,pytorchbearer/torchbearer,ml-frameworks,,https://github.com/pytorchbearer/torchbearer,https://github.com/pytorchbearer/torchbearer,MIT,2018-03-12 16:30:42.000,2021-03-26 19:56:57.000000,2021-03-26 19:56:57,430,,68,28.0,422.0,9.0,237.0,629,torchbearer: A model fitting library for PyTorch.,13.0,22,False,2020-01-31 14:07:22.000,0.5.3,24.0,torchbearer,,,,['pytorch'],64.0,60.0,https://pypi.org/project/torchbearer,2020-01-31 14:05:56.000,4.0,2675.0,2675.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n621,Submit it,facebookincubator/submitit,distributed-ml,,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09.000,2022-05-04 10:02:58.000000,2022-05-04 10:02:58,114,14.0,62,22.0,75.0,19.0,44.0,616,Python 3.6+ toolbox for submitting jobs to Slurm.,20.0,22,True,2022-04-07 20:49:32.000,1.4.2,16.0,submitit,conda-forge/submitit,,,,6.0,,https://pypi.org/project/submitit,2022-04-07 20:49:32.000,6.0,21391.0,21664.0,https://anaconda.org/conda-forge/submitit,2021-02-10 12:48:57.745,5752.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n622,python-ternary,marcharper/python-ternary,data-viz,,https://github.com/marcharper/python-ternary,https://github.com/marcharper/python-ternary,MIT,2012-08-07 23:48:55.000,2022-03-26 13:04:37.000000,2022-02-27 03:35:23,394,1.0,136,14.0,70.0,27.0,94.0,551,Ternary plotting library for python with matplotlib.,27.0,22,True,2021-02-17 18:38:15.000,1.0.8,11.0,python-ternary,conda-forge/python-ternary,,,,112.0,91.0,https://pypi.org/project/python-ternary,2021-02-17 18:38:15.000,21.0,20185.0,21029.0,https://anaconda.org/conda-forge/python-ternary,2021-02-17 22:38:55.625,61679.0,,,,,3.0,17.0,,,,,,,,,,,,,,,,,,,,\n623,HpBandSter,automl/HpBandSter,hyperopt,,https://github.com/automl/HpBandSter,https://github.com/automl/HpBandSter,BSD-3-Clause,2017-12-17 20:28:20.000,2022-04-22 06:33:34.000000,2022-04-22 06:33:31,188,1.0,108,24.0,22.0,57.0,35.0,536,a distributed Hyperband implementation on Steroids.,11.0,22,True,2019-07-30 12:47:43.000,1.0,8.0,hpbandster,conda-forge/hpbandster,,,,229.0,219.0,https://pypi.org/project/hpbandster,2018-11-06 12:56:55.000,10.0,16314.0,16392.0,https://anaconda.org/conda-forge/hpbandster,2020-12-11 15:57:39.186,1340.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n624,SKLL,EducationalTestingService/skll,ml-experiments,,https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,BSD-1-Clause,2013-08-02 14:31:46.000,2021-12-29 21:39:23.000000,2021-12-21 20:03:06,3575,,65,47.0,318.0,32.0,365.0,527,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,37.0,22,False,2021-12-21 20:12:29.000,3.0,65.0,skll,conda-forge/skll,,,['sklearn'],56.0,38.0,https://pypi.org/project/skll,2021-12-21 20:08:55.000,18.0,312.0,398.0,https://anaconda.org/conda-forge/skll,2021-12-21 22:47:22.431,518.0,,,,,3.0,11.0,,,,,,,,,,,,,,,,,,,,\n625,Poutyne,GRAAL-Research/poutyne,pytorch-utils,,https://github.com/GRAAL-Research/poutyne,https://github.com/GRAAL-Research/poutyne,LGPL-3.0,2017-12-07 18:30:17.000,2022-04-28 20:55:06.000000,2022-04-28 20:45:39,709,48.0,60,16.0,105.0,8.0,44.0,520,A simplified framework and utilities for PyTorch.,18.0,22,False,2022-04-28 20:55:06.000,1.11,29.0,poutyne,,,,['pytorch'],88.0,83.0,https://pypi.org/project/poutyne,2022-04-28 20:18:33.000,5.0,5915.0,5915.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n626,torch-cluster,rusty1s/pytorch_cluster,graph,,https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06.000,2022-04-20 09:04:08.000000,2022-04-20 09:04:06,570,5.0,95,11.0,28.0,14.0,86.0,509,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,20.0,22,True,2022-03-11 14:21:26.000,1.6.0,40.0,torch-cluster,conda-forge/pytorch_cluster,,,['pytorch'],27.0,,https://pypi.org/project/torch-cluster,2022-03-11 14:21:26.000,27.0,13184.0,14408.0,https://anaconda.org/conda-forge/pytorch_cluster,2022-04-06 04:21:04.529,29398.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n627,random-forest-importances,parrt/random-forest-importances,interpretability,,https://github.com/parrt/random-forest-importances,https://github.com/parrt/random-forest-importances,MIT,2018-03-22 19:20:13.000,2021-01-30 21:50:08.000000,2021-01-30 21:50:02,249,,117,22.0,18.0,5.0,29.0,503,Code to compute permutation and drop-column importances in Python scikit-learn models.,14.0,22,False,2021-01-28 23:23:17.000,1.3.7,22.0,rfpimp,,,,['sklearn'],100.0,95.0,https://pypi.org/project/rfpimp,2021-01-28 23:19:33.000,5.0,14149.0,14149.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n628,MedPy,loli/medpy,medical-data,,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34.000,2022-04-01 10:01:45.000000,2020-05-01 15:25:38,324,,118,18.0,26.0,11.0,68.0,400,Medical image processing in Python.,14.0,22,False,2019-02-14 17:12:59.000,0.4.0,6.0,MedPy,conda-forge/medpy,,,,612.0,576.0,https://pypi.org/project/MedPy,2019-02-14 17:12:59.000,36.0,11698.0,11935.0,https://anaconda.org/conda-forge/medpy,2021-11-11 11:54:44.393,2617.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n629,optunity,claesenm/optunity,hyperopt,,https://github.com/claesenm/optunity,https://github.com/claesenm/optunity,BSD-3-Clause,2014-05-28 17:29:11.000,2020-05-11 14:32:39.000000,2020-05-11 14:32:38,782,,74,25.0,9.0,48.0,48.0,384,optimization routines for hyperparameter tuning.,9.0,22,False,2015-09-30 05:02:00.000,1.1.1,6.0,optunity,,,,,90.0,76.0,https://pypi.org/project/optunity,2015-09-30 05:02:00.000,14.0,11328.0,11328.0,,,,,,,,3.0,67.0,,,,,,,,,,,,,,,,,,,,\n630,Hyperactive,SimonBlanke/Hyperactive,hyperopt,,https://github.com/SimonBlanke/Hyperactive,https://github.com/SimonBlanke/Hyperactive,MIT,2018-11-01 08:53:30.000,2022-05-04 16:40:08.000000,2022-05-04 15:27:24,2098,35.0,32,10.0,6.0,5.0,39.0,384,An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.,4.0,22,True,2022-05-04 16:40:08.000,4.2.0,66.0,hyperactive,,,,,16.0,13.0,https://pypi.org/project/hyperactive,2022-05-04 16:40:08.000,3.0,407.0,409.0,,,,,,,,3.0,100.0,,,,,,,,,,,,,,,,,,,,\n631,lazypredict,shankarpandala/lazypredict,hyperopt,,https://github.com/shankarpandala/lazypredict,https://github.com/shankarpandala/lazypredict,MIT,2019-11-16 09:56:35.000,2022-04-26 15:16:47.000000,2022-01-29 18:05:02,217,,60,8.0,305.0,29.0,34.0,352,Lazy Predict help build a lot of basic models without much code and helps understand which models works better without..,17.0,22,True,2021-02-17 15:38:45.000,0.2.9,11.0,lazypredict,conda-forge/lazypredict,,,['sklearn'],280.0,280.0,https://pypi.org/project/lazypredict,2021-02-17 15:38:45.000,,7876.0,7916.0,https://anaconda.org/conda-forge/lazypredict,2021-08-24 21:49:02.096,362.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n632,TimeSide,Parisson/TimeSide,audio,,https://github.com/Parisson/TimeSide,https://github.com/Parisson/TimeSide,AGPL-3.0,2011-11-21 21:48:08.000,2022-04-22 23:40:18.000000,2022-03-10 13:10:21,3593,17.0,56,26.0,75.0,64.0,150.0,320,Scalable audio processing framework written in Python with a RESTful API.,22.0,22,False,2020-11-27 09:33:19.000,0.9.6,27.0,TimeSide,,,,,30.0,16.0,https://pypi.org/project/TimeSide,2021-12-15 14:33:37.113,14.0,65.0,65.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n633,happy-transformer,EricFillion/happy-transformer,nlp,,https://github.com/EricFillion/happy-transformer,https://github.com/EricFillion/happy-transformer,Apache-2.0,2019-10-06 22:02:12.000,2022-04-12 09:25:58.000000,2022-02-06 06:56:50,963,5.0,33,5.0,192.0,13.0,84.0,285,A package built on top of Hugging Faces transformers library that makes it easy to utilize state-of-the-art NLP models.,13.0,22,False,2022-02-06 06:58:53.000,2.4.1,39.0,happytransformer,,,,['huggingface'],59.0,58.0,https://pypi.org/project/happytransformer,2022-02-06 06:54:52.000,1.0,6909.0,6909.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n634,launchpad,deepmind/launchpad,distributed-ml,,https://github.com/deepmind/launchpad,https://github.com/deepmind/launchpad,Apache-2.0,2021-02-18 15:16:49.000,2022-04-30 20:23:20.000000,2022-04-30 20:22:53,281,49.0,21,17.0,2.0,3.0,19.0,266,Launchpad is a library that simplifies writing distributed programs and seamlessly launching them on a range of..,17.0,22,False,2022-04-28 06:23:38.000,0.5.2,9.0,dm-launchpad,,,,['tensorflow'],10.0,10.0,https://pypi.org/project/dm-launchpad,2022-04-28 06:23:38.000,,4295.0,4295.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n635,gokart,m3dev/gokart,ml-experiments,,https://github.com/m3dev/gokart,https://github.com/m3dev/gokart,MIT,2018-12-23 07:40:27.000,2022-04-27 11:54:23.000000,2022-04-26 10:57:44,462,9.0,43,23.0,214.0,14.0,55.0,248,\"Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning..\",32.0,22,False,2022-04-02 08:39:07.000,1.1.1,64.0,gokart,,,,,4.0,,https://pypi.org/project/gokart,2022-04-02 08:39:07.000,4.0,1325.0,1325.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n636,pysparkling,svenkreiss/pysparkling,data-pipelines,,https://github.com/svenkreiss/pysparkling,https://github.com/svenkreiss/pysparkling,MIT,2015-05-09 19:23:20.000,2021-10-31 16:40:25.000000,2021-02-22 17:29:11,1527,,45,6.0,136.0,7.0,21.0,246,A pure Python implementation of Apache Sparks RDD and DStream interfaces.,10.0,22,False,2021-01-10 21:15:26.000,0.6.1,68.0,pysparkling,conda-forge/pysparkling,,,,117.0,109.0,https://pypi.org/project/pysparkling,2021-01-10 21:15:26.000,8.0,12928.0,12996.0,https://anaconda.org/conda-forge/pysparkling,2021-03-23 19:51:42.850,959.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n637,pymap3d,geospace-code/pymap3d,geospatial-data,,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03.000,2022-03-31 05:39:36.588000,2022-03-30 17:38:25,671,7.0,67,13.0,17.0,2.0,32.0,245,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,11.0,22,False,2022-03-30 17:47:11.000,2.8.0,52.0,pymap3d,conda-forge/pymap3d,,,,15.0,,https://pypi.org/project/pymap3d,2022-03-30 17:47:11.000,15.0,33052.0,33828.0,https://anaconda.org/conda-forge/pymap3d,2022-03-31 05:39:36.588,20187.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n638,lkpy,lenskit/lkpy,recommender-systems,,https://github.com/lenskit/lkpy,https://github.com/lenskit/lkpy,MIT,2018-06-08 21:05:10.000,2022-05-02 15:04:03.000000,2022-05-02 15:03:59,2413,71.0,55,8.0,215.0,24.0,69.0,204,Python recommendation toolkit.,13.0,22,False,2022-03-11 17:33:42.000,0.14.1,22.0,lenskit,conda-forge/lenskit,,,,1.0,,https://pypi.org/project/lenskit,2022-03-11 17:34:02.000,1.0,2900.0,3385.0,https://anaconda.org/conda-forge/lenskit,2022-03-11 23:10:26.423,8732.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n639,Glow,projectglow/glow,medical-data,,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47.000,2022-04-29 01:21:21.000000,2022-04-29 01:21:21,393,21.0,69,18.0,378.0,60.0,80.0,198,An open-source toolkit for large-scale genomic analysis.,21.0,22,False,2022-04-21 00:32:28.000,1.2.1,15.0,glow.py,conda-forge/glow,,,,,,https://pypi.org/project/glow.py,2022-04-19 23:43:38.000,,28757.0,28859.0,https://anaconda.org/conda-forge/glow,2021-04-28 16:52:48.812,1538.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n640,DeepMatcher,anhaidgroup/deepmatcher,nlp,,https://github.com/anhaidgroup/deepmatcher,https://github.com/anhaidgroup/deepmatcher,BSD-3-Clause,2017-12-01 19:01:11.000,2021-06-13 01:13:43.000000,2021-06-13 00:22:13,176,,1536,15.0,16.0,59.0,22.0,4169,Python package for performing Entity and Text Matching using Deep Learning.,7.0,21,True,2021-05-27 22:28:29.000,0.1.2,13.0,deepmatcher,,,,,18.0,18.0,https://pypi.org/project/deepmatcher,2021-06-13 01:13:24.000,,950.0,950.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n641,TensorWatch,microsoft/tensorwatch,ml-experiments,,https://github.com/microsoft/tensorwatch,https://github.com/microsoft/tensorwatch,MIT,2019-05-15 08:29:34.000,2021-04-13 09:44:02.000000,2021-01-15 19:46:05,112,,341,104.0,14.0,52.0,15.0,3220,\"Debugging, monitoring and visualization for Python Machine Learning and Data Science.\",13.0,21,False,2020-03-04 07:26:22.000,0.9.1,14.0,tensorwatch,,,,,84.0,78.0,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22.000,6.0,1729.0,1729.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n642,ReAgent,facebookresearch/ReAgent,reinforcement-learning,,https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000,2022-05-05 04:02:33.000000,2022-04-29 13:03:57,1437,42.0,438,143.0,537.0,41.0,75.0,3183,\"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).\",129.0,21,True,2020-01-27 22:06:00.000,0.0.0,2.0,reagent,,,,['pytorch'],,,https://pypi.org/project/reagent,2020-05-27 20:58:01.000,,20.0,20.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n643,NLP Architect,IntelLabs/nlp-architect,nlp,,https://github.com/IntelLabs/nlp-architect,https://github.com/IntelLabs/nlp-architect,Apache-2.0,2018-05-17 21:00:13.000,2022-03-12 00:52:09.000000,2021-09-12 08:29:06,954,,437,167.0,110.0,21.0,112.0,2815,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,37.0,21,True,2020-11-17 12:32:37.000,0.5.5.1,13.0,nlp-architect,,,,,8.0,8.0,https://pypi.org/project/nlp-architect,2020-04-12 11:34:38.000,,138.0,138.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n644,image-match,ProvenanceLabs/image-match,image,,https://github.com/ProvenanceLabs/image-match,https://github.com/ProvenanceLabs/image-match,Apache-2.0,2016-03-08 18:16:45.000,2022-04-18 18:47:44.000000,2021-09-21 13:07:59,405,,381,99.0,54.0,56.0,48.0,2725,Quickly search over billions of images.,19.0,21,True,2017-02-13 14:54:48.000,1.1.2,10.0,image_match,,,,,4.0,,https://pypi.org/project/image_match,2017-02-13 14:54:48.000,4.0,554.0,554.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n645,StreamAlert,airbnb/streamalert,others,,https://github.com/airbnb/streamalert,https://github.com/airbnb/streamalert,Apache-2.0,2017-01-22 01:10:56.000,2022-04-12 23:20:33.000000,2021-11-04 18:52:02,1900,,322,105.0,989.0,85.0,257.0,2678,\"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data..\",33.0,21,True,2021-11-04 19:07:51.000,3.5.0,28.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n646,DeepWalk,phanein/deepwalk,graph,,https://github.com/phanein/deepwalk,https://github.com/phanein/deepwalk,GPL-3.0,2014-08-23 03:38:20.000,2021-09-16 12:01:08.000000,2020-04-02 01:05:35,46,,802,88.0,26.0,37.0,80.0,2428,DeepWalk - Deep Learning for Graphs.,10.0,21,False,2018-04-29 21:05:18.000,1.0.3,4.0,deepwalk,,,,,57.0,50.0,https://pypi.org/project/deepwalk,2018-04-29 21:05:18.000,7.0,2567.0,2567.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n647,lightseq,bytedance/lightseq,nlp,,https://github.com/bytedance/lightseq,https://github.com/bytedance/lightseq,Apache-2.0,2019-12-06 08:25:24.000,2022-05-05 11:32:33.000000,2022-05-05 04:52:22,197,13.0,221,45.0,137.0,94.0,76.0,2115,LightSeq: A High Performance Library for Sequence Processing and Generation.,9.0,21,True,2021-11-30 07:39:10.000,2.2.1,19.0,lightseq,,,,,,,https://pypi.org/project/lightseq,2022-01-26 08:26:27.000,,695.0,716.0,,,,,,,,3.0,610.0,,,,,,,,,,,,,,,,,,,,\n648,hiddenlayer,waleedka/hiddenlayer,ml-experiments,,https://github.com/waleedka/hiddenlayer,https://github.com/waleedka/hiddenlayer,MIT,2018-05-18 22:34:51.000,2021-10-16 05:29:37.000000,2020-04-24 06:58:09,58,,228,46.0,11.0,48.0,34.0,1593,\"Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.\",6.0,21,False,2018-12-03 04:33:29.000,0.2,3.0,hiddenlayer,,,,\"['pytorch', 'tensorflow', 'jupyter']\",117.0,108.0,https://pypi.org/project/hiddenlayer,2020-04-24 07:32:11.000,9.0,2422.0,2422.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n649,DELTA,Delta-ML/delta,nlp,,https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57.000,2022-04-27 11:25:48.000000,2020-12-17 06:57:15,932,,294,66.0,189.0,5.0,74.0,1510,DELTA is a deep learning based natural language and speech processing platform.,41.0,21,False,2020-07-16 09:31:45.000,0.3.3,4.0,delta-nlp,,zh794390558/delta,,['tensorflow'],,,https://pypi.org/project/delta-nlp,2020-03-27 04:46:19.000,,18.0,381.0,,,,https://hub.docker.com/r/zh794390558/delta,2021-08-03 14:50:00.516864,,13077.0,3.0,,,,,,,,,,,,,,,,,,,,,\n650,anaGo,Hironsan/anago,nlp,,https://github.com/Hironsan/anago,https://github.com/Hironsan/anago,MIT,2017-06-26 21:28:36.000,2022-02-11 02:30:49.000000,2021-04-01 12:34:50,298,,363,65.0,39.0,37.0,72.0,1439,\"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.\",11.0,21,False,2018-07-17 01:59:21.000,1.0.8,14.0,anago,,,,['tensorflow'],34.0,29.0,https://pypi.org/project/anago,2018-07-17 01:59:21.000,5.0,618.0,618.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n651,jiant,nyu-mll/jiant,nlp,,https://github.com/nyu-mll/jiant,https://github.com/nyu-mll/jiant,MIT,2018-06-18 18:12:47.000,2022-03-31 22:22:08.000000,2022-03-31 22:22:07,1924,1.0,267,45.0,792.0,64.0,485.0,1398,jiant is an nlp toolkit.,57.0,21,True,2021-05-10 18:56:39.000,2.2.0,19.0,jiant,,,,,2.0,2.0,https://pypi.org/project/jiant,2021-05-10 18:56:39.000,,57.0,57.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n652,OpenPrompt,thunlp/OpenPrompt,nlp,,https://github.com/thunlp/OpenPrompt,https://github.com/thunlp/OpenPrompt,Apache-2.0,2021-09-30 09:38:45.000,2022-05-02 14:23:04.000000,2022-05-02 14:21:14,214,23.0,142,19.0,28.0,6.0,113.0,1384,An Open-Source Framework for Prompt-Learning.,13.0,21,True,2022-04-20 04:58:40.000,1.0.0,4.0,openprompt,,,,,8.0,8.0,https://pypi.org/project/openprompt,2022-04-15 10:01:11.000,,452.0,452.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n653,DIG,divelab/DIG,graph,,https://github.com/divelab/DIG,https://github.com/divelab/DIG,GPL-3.0,2020-10-30 03:51:15.000,2022-04-13 20:11:20.000000,2022-04-13 20:11:11,855,4.0,152,27.0,9.0,8.0,83.0,1108,A library for graph deep learning research.,30.0,21,False,2021-10-13 00:38:18.000,0.1.2,10.0,dig,,,,,8.0,,https://pypi.org/project/dig,2015-08-23 10:30:20.000,8.0,317.0,317.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n654,luminol,linkedin/luminol,time-series-data,,https://github.com/linkedin/luminol,https://github.com/linkedin/luminol,Apache-2.0,2015-11-18 23:16:33.000,2020-12-27 09:54:35.000000,2018-01-09 07:46:55,69,,202,66.0,27.0,31.0,12.0,1021,Anomaly Detection and Correlation library.,8.0,21,False,2016-01-20 01:01:44.000,0.3.1,5.0,luminol,,,,,71.0,56.0,https://pypi.org/project/luminol,2017-12-11 06:04:15.000,15.0,39001.0,39001.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n655,Hivemind,learning-at-home/hivemind,distributed-ml,,https://github.com/learning-at-home/hivemind,https://github.com/learning-at-home/hivemind,MIT,2020-02-27 13:50:19.000,2022-05-03 22:04:16.000000,2022-05-03 21:38:34,491,8.0,60,47.0,349.0,42.0,78.0,1013,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,20.0,21,True,2022-02-07 10:06:24.000,1.0.1,15.0,hivemind,,,,,6.0,5.0,https://pypi.org/project/hivemind,2021-12-20 12:53:27.000,1.0,1449.0,1449.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n656,keras-ocr,faustomorales/keras-ocr,ocr,,https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50.000,2022-03-28 18:06:12.000000,2022-03-28 18:06:12,188,4.0,253,43.0,37.0,64.0,106.0,1009,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,14.0,21,True,2021-11-24 10:05:08.000,0.8.9,29.0,keras-ocr,anaconda/keras-ocr,,,['tensorflow'],2.0,,https://pypi.org/project/keras-ocr,2021-11-24 10:05:08.000,2.0,5616.0,18303.0,https://anaconda.org/anaconda/keras-ocr,2022-01-14 10:29:35.968,31.0,,,,,3.0,253739.0,,,,,,,,,,,,,,,,,,,,\n657,fastFM,ibayer/fastFM,recommender-systems,,https://github.com/ibayer/fastFM,https://github.com/ibayer/fastFM,BSD-3-Clause,2014-10-27 12:25:51.000,2021-12-06 14:42:35.000000,2021-03-24 12:22:31,297,,194,30.0,60.0,46.0,60.0,979,fastFM: A Library for Factorization Machines.,20.0,21,False,2017-11-23 06:59:56.000,0.2.11,10.0,fastfm,,,,,105.0,97.0,https://pypi.org/project/fastfm,2017-11-23 06:59:56.000,8.0,535.0,540.0,,,,,,,,3.0,439.0,,,,,,,,,,,,,,,,,,,,\n658,geoplotlib,andrea-cuttone/geoplotlib,geospatial-data,,https://github.com/andrea-cuttone/geoplotlib,https://github.com/andrea-cuttone/geoplotlib,MIT,2015-02-24 13:13:07.000,2021-10-20 12:00:24.000000,2019-05-06 07:06:50,159,,156,55.0,13.0,30.0,19.0,962,python toolbox for visualizing geographical data and making maps.,8.0,21,False,2016-07-27 14:55:01.000,0.3.2,4.0,geoplotlib,conda-forge/geoplotlib,,,,151.0,139.0,https://pypi.org/project/geoplotlib,2016-07-27 14:55:01.000,12.0,1306.0,1369.0,https://anaconda.org/conda-forge/geoplotlib,2021-05-31 16:11:51.234,756.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n659,tf-explain,sicara/tf-explain,interpretability,,https://github.com/sicara/tf-explain,https://github.com/sicara/tf-explain,MIT,2019-07-15 08:26:24.000,2022-04-22 12:28:40.000000,2022-04-22 12:28:39,207,1.0,96,49.0,95.0,39.0,51.0,924,Interpretability Methods for tf.keras models with Tensorflow 2.x.,17.0,21,True,2021-11-18 20:57:29.000,0.3.1,8.0,tf-explain,,,,['tensorflow'],120.0,114.0,https://pypi.org/project/tf-explain,2021-11-18 20:57:29.000,6.0,1612.0,1612.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n660,attention-ocr,emedvedev/attention-ocr,ocr,,https://github.com/emedvedev/attention-ocr,https://github.com/emedvedev/attention-ocr,MIT,2017-07-21 18:35:19.000,2021-10-29 14:44:11.000000,2021-10-29 14:44:08,205,,243,47.0,45.0,24.0,126.0,906,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,27.0,21,True,2020-10-12 06:56:40.000,0.7.6,21.0,aocr,,,,['tensorflow'],19.0,19.0,https://pypi.org/project/aocr,2019-04-19 05:28:27.000,,249.0,249.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n661,NGT,yahoojapan/NGT,nn-search,,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000,2022-04-06 02:43:33.000000,2022-04-06 02:31:11,140,7.0,89,35.0,20.0,15.0,83.0,884,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,13.0,21,True,2022-04-06 01:55:37.000,1.14.4,54.0,ngt,,,,,8.0,,https://pypi.org/project/ngt,2022-04-06 01:55:37.000,8.0,16229.0,16229.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n662,nude.py,hhatto/nude.py,image,,https://github.com/hhatto/nude.py,https://github.com/hhatto/nude.py,MIT,2013-06-09 06:55:55.000,2020-11-23 13:49:32.000000,2020-11-23 13:49:02,79,,133,34.0,16.0,7.0,3.0,852,Nudity detection with Python.,12.0,21,False,2020-11-23 13:49:17.000,0.5.1,10.0,nudepy,,,,,2215.0,2205.0,https://pypi.org/project/nudepy,2020-11-23 13:49:17.000,10.0,6447.0,6447.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n663,DiCE,interpretml/DiCE,interpretability,,https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000,2022-05-05 05:06:25.000000,2022-05-05 05:06:25,545,41.0,116,16.0,177.0,47.0,62.0,824,Generate Diverse Counterfactual Explanations for any machine learning model.,12.0,21,True,2021-09-27 06:59:57.000,0.7.2,8.0,dice-ml,,,,\"['tensorflow', 'pytorch']\",3.0,,https://pypi.org/project/dice-ml,2021-09-27 06:59:57.000,3.0,31287.0,31287.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n664,Performer Pytorch,lucidrains/performer-pytorch,pytorch-utils,,https://github.com/lucidrains/performer-pytorch,https://github.com/lucidrains/performer-pytorch,MIT,2020-10-03 03:41:36.000,2022-02-02 20:34:04.000000,2022-02-02 20:33:18,124,,111,15.0,11.0,34.0,42.0,819,\"An implementation of Performer, a linear attention-based transformer, in Pytorch.\",6.0,21,True,2022-02-02 20:34:04.000,1.1.4,80.0,performer-pytorch,,,,['pytorch'],50.0,46.0,https://pypi.org/project/performer-pytorch,2022-02-02 20:34:04.000,4.0,8997.0,8997.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n665,tffm,geffy/tffm,tensorflow-utils,,https://github.com/geffy/tffm,https://github.com/geffy/tffm,MIT,2016-05-02 17:06:07.000,2022-01-17 20:39:04.000000,2022-01-17 20:38:58,107,,188,34.0,15.0,18.0,22.0,782,TensorFlow implementation of an arbitrary order Factorization Machine.,10.0,21,True,2022-01-17 20:35:57.000,1.0.2,3.0,tffm,,,,['tensorflow'],12.0,11.0,https://pypi.org/project/tffm,2022-01-17 20:35:57.000,1.0,1954.0,1954.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n666,mlens,flennerhag/mlens,others,,https://github.com/flennerhag/mlens,https://github.com/flennerhag/mlens,MIT,2017-01-10 20:53:47.000,2020-02-25 14:32:48.000000,2020-02-25 14:31:53,879,,94,29.0,56.0,12.0,74.0,733,ML-Ensemble high performance ensemble learning.,7.0,21,False,2018-10-30 22:34:35.000,0.2.3,14.0,mlens,,,,,193.0,190.0,https://pypi.org/project/mlens,2018-10-30 22:30:43.000,3.0,921.0,921.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n667,NearPy,pixelogik/NearPy,nn-search,,https://github.com/pixelogik/NearPy,https://github.com/pixelogik/NearPy,MIT,2013-04-25 09:10:26.000,2021-09-26 01:44:54.000000,2018-10-21 17:54:28,159,,138,41.0,32.0,24.0,38.0,708,\"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..\",18.0,21,False,2016-09-27 13:04:44.000,1.0.0,8.0,NearPy,,,,,83.0,67.0,https://pypi.org/project/NearPy,2016-09-27 13:03:12.000,16.0,2502.0,2502.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n668,nnAudio,KinWaiCheuk/nnAudio,audio,,https://github.com/KinWaiCheuk/nnAudio,https://github.com/KinWaiCheuk/nnAudio,MIT,2019-09-02 04:31:14.000,2021-12-24 09:38:22.000000,2021-12-24 09:32:42,281,,67,18.0,66.0,12.0,37.0,676,Audio processing by using pytorch 1D convolution network.,13.0,21,True,2021-12-24 09:38:22.000,0.3.1,38.0,nnAudio,,,,,47.0,46.0,https://pypi.org/project/nnAudio,2021-12-24 09:38:22.000,1.0,1545.0,1545.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n669,What-If Tool,PAIR-code/what-if-tool,interpretability,,https://github.com/PAIR-code/what-if-tool,https://github.com/PAIR-code/what-if-tool,Apache-2.0,2018-09-07 20:26:10.000,2022-04-29 03:24:29.000000,2022-01-05 20:19:46,328,,130,26.0,100.0,57.0,48.0,669,Source code/webpage/demos for the What-If Tool.,20.0,21,True,2021-10-12 17:42:50.869,1.8.1,40.0,witwidget,conda-forge/tensorboard-plugin-wit,,,,3.0,,https://pypi.org/project/witwidget,2021-10-12 17:42:30.000,3.0,7628.0,53235.0,https://anaconda.org/conda-forge/tensorboard-plugin-wit,2022-01-06 08:51:02.032,948606.0,,,,,3.0,,,,wit-widget,https://www.npmjs.com/package/wit-widget,2021-10-12 17:42:50.869,,4364.0,,,,,,,,,,,,,\n670,deeplift,kundajelab/deeplift,interpretability,,https://github.com/kundajelab/deeplift,https://github.com/kundajelab/deeplift,MIT,2016-06-01 02:18:06.000,2022-04-28 10:04:52.000000,2021-11-11 17:50:26,553,,148,37.0,46.0,36.0,48.0,627,Public facing deeplift repo.,11.0,21,True,2018-07-13 21:11:52.000,0.6.6,21.0,deeplift,,,,,60.0,56.0,https://pypi.org/project/deeplift,2020-11-11 09:32:57.000,4.0,716.0,716.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n671,TF Compression,tensorflow/compression,tensorflow-utils,,https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19.000,2022-04-29 23:33:44.000000,2022-04-29 23:32:58,212,21.0,209,41.0,17.0,2.0,80.0,603,Data compression in TensorFlow.,13.0,21,True,2022-03-02 19:18:12.000,2.8.1,14.0,tensorflow-compression,,,,['tensorflow'],1.0,,https://pypi.org/project/tensorflow-compression,2022-03-02 19:18:12.000,1.0,861.0,861.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n672,NeuralForecast,Nixtla/neuralforecast,time-series-data,,https://github.com/Nixtla/neuralforecast,https://github.com/Nixtla/neuralforecast,GPL-3.0,2021-04-26 00:15:19.000,2022-05-02 23:25:33.000000,2022-04-26 22:11:36,721,194.0,53,13.0,162.0,35.0,42.0,580,Scalable and user friendly neural forecasting algorithms for time series data .,22.0,21,False,2022-04-21 20:27:55.000,0.0.9,7.0,neuralforecast,conda-forge/neuralforecast,,,,,,https://pypi.org/project/neuralforecast,2022-04-21 20:27:55.000,,257.0,332.0,https://anaconda.org/conda-forge/neuralforecast,2022-04-21 23:35:21.921,151.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n673,seglearn,dmbee/seglearn,time-series-data,,https://github.com/dmbee/seglearn,https://github.com/dmbee/seglearn,BSD-3-Clause,2018-03-05 20:53:59.000,2022-04-13 19:15:09.000000,2021-03-12 17:12:50,268,,57,30.0,31.0,6.0,23.0,513,Python module for machine learning time series:.,13.0,21,False,2021-03-13 16:18:30.000,1.2.3,22.0,seglearn,,,,,12.0,11.0,https://pypi.org/project/seglearn,2021-03-13 16:18:30.000,1.0,1985.0,1985.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n674,pyhsmm,mattjj/pyhsmm,probabilistics,,https://github.com/mattjj/pyhsmm,https://github.com/mattjj/pyhsmm,MIT,2012-03-18 17:40:13.000,2022-04-10 20:18:08.000000,2020-08-24 17:03:59,1426,,160,56.0,19.0,39.0,60.0,510,Bayesian inference in HSMMs and HMMs.,13.0,21,False,2017-05-10 17:14:37.000,0.1.7,8.0,pyhsmm,,,,,30.0,25.0,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37.000,5.0,106.0,106.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n675,skope-rules,scikit-learn-contrib/skope-rules,sklearn-utils,,https://github.com/scikit-learn-contrib/skope-rules,https://github.com/scikit-learn-contrib/skope-rules,BSD-1-Clause,2018-02-18 13:42:47.000,2021-05-12 08:25:18.000000,2020-10-23 14:31:57,247,,73,24.0,29.0,24.0,6.0,459,machine learning with logical rules in Python.,18.0,21,False,2020-12-11 09:37:02.000,1.0.1,4.0,skope-rules,,,,['sklearn'],92.0,87.0,https://pypi.org/project/skope-rules,2020-01-25 12:01:37.000,5.0,98845.0,98845.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n676,joypy,leotac/joypy,data-viz,,https://github.com/leotac/joypy,https://github.com/leotac/joypy,MIT,2017-07-30 17:18:50.000,2021-12-21 20:58:11.000000,2021-12-19 09:41:43,133,,48,11.0,19.0,11.0,37.0,415,Joyplots in Python with matplotlib & pandas.,6.0,21,True,2021-12-19 09:42:50.000,0.2.6,17.0,joypy,conda-forge/joypy,,,,160.0,155.0,https://pypi.org/project/joypy,2021-12-19 09:42:50.000,5.0,13854.0,14193.0,https://anaconda.org/conda-forge/joypy,2020-12-28 14:07:53.760,12911.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n677,recmetrics,statisticianinstilettos/recmetrics,recommender-systems,,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49.000,2022-04-26 18:03:18.000000,2022-04-17 14:49:12,264,26.0,85,13.0,28.0,9.0,12.0,387,A library of metrics for evaluating recommender systems.,16.0,21,True,2022-04-26 18:03:18.000,0.1.5,20.0,recmetrics,,,,,25.0,25.0,https://pypi.org/project/recmetrics,2022-04-26 17:57:01.000,,1140.0,1140.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n678,tick,X-DataInitiative/tick,time-series-data,,https://github.com/X-DataInitiative/tick,https://github.com/X-DataInitiative/tick,BSD-3-Clause,2016-12-01 10:59:08.000,2022-01-30 17:29:29.000000,2020-06-15 12:01:36,413,,82,36.0,264.0,57.0,165.0,382,\"Module for statistical learning, with a particular emphasis on time-dependent modelling.\",16.0,21,False,2019-09-11 11:25:15.000,0.6,23.0,tick,,,,,59.0,58.0,https://pypi.org/project/tick,2020-05-24 22:01:17.000,1.0,1095.0,1098.0,,,,,,,,3.0,194.0,,,,,,,,,,,,,,,,,,,,\n679,Studio.ml,studioml/studio,ml-experiments,,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28.000,2021-09-14 22:55:51.000000,2021-09-14 22:26:21,2409,,52,25.0,229.0,57.0,195.0,373,Studio: Simplify and expedite model building process.,21.0,21,True,2021-09-14 22:55:51.000,0.0.49,208.0,studioml,,,,,5.0,5.0,https://pypi.org/project/studioml,2021-09-14 22:55:51.000,,442.0,442.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n680,Auto ViML,AutoViML/Auto_ViML,hyperopt,,https://github.com/AutoViML/Auto_ViML,https://github.com/AutoViML/Auto_ViML,Apache-2.0,2019-06-10 13:09:15.000,2022-04-28 02:26:41.000000,2022-04-28 02:26:02,298,5.0,77,24.0,5.0,5.0,15.0,344,Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome...,6.0,21,True,2022-04-26 13:15:17.000,0.1.703,136.0,autoviml,,,,,18.0,16.0,https://pypi.org/project/autoviml,2022-04-28 02:26:41.000,2.0,1190.0,1190.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n681,quinn,MrPowers/quinn,ml-experiments,,https://github.com/MrPowers/quinn,https://github.com/MrPowers/quinn,Apache-2.0,2017-09-15 13:02:42.000,2022-04-24 17:37:43.000000,2021-02-09 04:48:07,110,,45,22.0,19.0,17.0,9.0,329,pyspark methods to enhance developer productivity.,6.0,21,False,2021-02-06 15:21:04.000,0.9.0,12.0,quinn,,,,['spark'],4.0,,https://pypi.org/project/quinn,2021-02-06 15:21:04.000,4.0,585655.0,585655.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n682,sklearn-evaluation,edublancas/sklearn-evaluation,interpretability,,https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2015-09-04 16:33:42.000,2022-04-22 17:43:54.000000,2022-04-16 14:38:16,540,7.0,31,13.0,6.0,9.0,30.0,322,\"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook..\",8.0,21,True,2021-10-17 18:15:40.000,0.5.7,20.0,sklearn-evaluation,,,,['sklearn'],47.0,45.0,https://pypi.org/project/sklearn-evaluation,2022-04-16 14:38:40.000,2.0,1705.0,1705.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n683,Brainiak,brainiak/brainiak,medical-data,,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27.000,2022-04-04 15:48:18.000000,2021-05-28 01:21:58,393,,123,35.0,317.0,72.0,124.0,272,Brain Imaging Analysis Kit.,34.0,21,False,2019-08-27 23:52:29.000,0.9.1,15.0,brainiak,,brainiak/brainiak,,,17.0,16.0,https://pypi.org/project/brainiak,2020-10-15 20:45:08.000,1.0,245.0,254.0,,,,https://hub.docker.com/r/brainiak/brainiak,2020-10-15 21:11:03.379549,1.0,705.0,3.0,,,,,,,,,,,,,,,,,,,,,\n684,scikit-posthocs,maximtrp/scikit-posthocs,probabilistics,,https://github.com/maximtrp/scikit-posthocs,https://github.com/maximtrp/scikit-posthocs,MIT,2017-06-22 19:41:37.000,2022-05-04 06:00:04.000000,2022-05-04 06:00:04,471,5.0,24,5.0,8.0,5.0,39.0,237,Multiple Pairwise Comparisons (Post Hoc) Tests in Python.,9.0,21,False,2021-03-17 06:05:28.000,0.6.7,21.0,scikit-posthocs,conda-forge/scikit-posthocs,,,['sklearn'],19.0,,https://pypi.org/project/scikit-posthocs,2021-03-15 16:05:51.000,19.0,35060.0,35630.0,https://anaconda.org/conda-forge/scikit-posthocs,2021-03-15 21:17:30.605,10834.0,,,,,3.0,25.0,,,,,,,,,,,,,,,,,,,,\n685,py3nvml,fbcotter/py3nvml,gpu-utilities,,https://github.com/fbcotter/py3nvml,https://github.com/fbcotter/py3nvml,BSD-3-Clause,2016-11-21 01:07:37.000,2022-04-14 09:41:50.000000,2022-04-14 09:41:50,86,1.0,31,11.0,9.0,3.0,12.0,203,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,9.0,21,False,2021-11-22 14:30:25.000,0.2.7,14.0,py3nvml,conda-forge/py3nvml,,,,471.0,433.0,https://pypi.org/project/py3nvml,2021-11-22 14:30:25.000,38.0,85047.0,85952.0,https://anaconda.org/conda-forge/py3nvml,2021-11-19 20:12:42.962,25349.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n686,Larq Compute Engine,larq/compute-engine,model-serialisation,,https://github.com/larq/compute-engine,https://github.com/larq/compute-engine,Apache-2.0,2019-08-29 15:02:43.000,2022-05-04 11:18:16.000000,2022-04-29 12:03:27,534,20.0,30,21.0,585.0,21.0,121.0,187,Highly optimized inference engine for Binarized Neural Networks.,18.0,21,False,2022-04-25 13:14:34.000,0.7.0,16.0,larq-compute-engine,,,,,6.0,6.0,https://pypi.org/project/larq-compute-engine,2022-04-25 13:14:34.000,,622.0,644.0,,,,,,,,3.0,618.0,,,,,,,,,,,,,,,,,,,,\n687,BatchFlow,analysiscenter/batchflow,data-pipelines,,https://github.com/analysiscenter/batchflow,https://github.com/analysiscenter/batchflow,Apache-2.0,2017-03-13 14:22:53.000,2022-04-22 16:56:09.000000,2022-02-17 12:38:42,4994,11.0,39,12.0,542.0,37.0,67.0,175,BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and..,30.0,21,False,2022-02-17 12:45:37.000,0.6.0,8.0,batchflow,,,,,2.0,2.0,https://pypi.org/project/batchflow,2022-02-17 12:45:37.000,,208.0,208.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n688,stop-words,Alir3z4/python-stop-words,nlp,,https://github.com/Alir3z4/python-stop-words,https://github.com/Alir3z4/python-stop-words,BSD-3-Clause,2014-05-26 06:44:03.000,2021-12-28 13:59:30.000000,2018-07-23 21:04:09,90,,26,6.0,18.0,3.0,9.0,137,Get list of common stop words in various languages in Python.,8.0,21,False,2018-07-23 20:58:34.000,2018.7.23,8.0,stop-words,,,,,1661.0,1515.0,https://pypi.org/project/stop-words,2018-07-23 20:55:55.000,146.0,112241.0,112241.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n689,graph-nets,deepmind/graph_nets,graph,,https://github.com/deepmind/graph_nets,https://github.com/deepmind/graph_nets,Apache-2.0,2018-08-31 08:19:28.000,2020-12-04 17:43:48.000000,2020-12-04 17:43:47,47,,771,222.0,24.0,7.0,120.0,5118,Build Graph Nets in Tensorflow.,10.0,20,False,2020-01-29 16:00:25.000,1.1.0,7.0,graph-nets,,,,['tensorflow'],7.0,,https://pypi.org/project/graph-nets,2020-01-29 16:00:25.000,7.0,789.0,789.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n690,gpt-2-simple,minimaxir/gpt-2-simple,nlp,,https://github.com/minimaxir/gpt-2-simple,https://github.com/minimaxir/gpt-2-simple,MIT,2019-04-13 20:00:52.000,2022-02-18 19:18:27.000000,2021-10-18 01:45:21,143,,593,76.0,51.0,151.0,95.0,2917,Python package to easily retrain OpenAIs GPT-2 text-generating model on new texts.,18.0,20,True,2021-10-18 02:38:39.000,0.8.1,18.0,gpt-2-simple,,,,['tensorflow'],5.0,,https://pypi.org/project/gpt-2-simple,2021-10-18 01:47:20.000,5.0,4955.0,4963.0,,,,,,,,3.0,303.0,,,,,,,,,,,,,,,,,,,,\n691,AdaBound,Luolc/AdaBound,pytorch-utils,,https://github.com/Luolc/AdaBound,https://github.com/Luolc/AdaBound,Apache-2.0,2019-02-15 18:05:20.000,2019-03-06 17:01:52.000000,2019-03-06 17:01:45,27,,327,78.0,1.0,17.0,7.0,2889,An optimizer that trains as fast as Adam and as good as SGD.,2.0,20,False,2019-03-06 16:44:42.000,0.0.5,4.0,adabound,,,,['pytorch'],142.0,135.0,https://pypi.org/project/adabound,2019-02-26 04:23:45.000,7.0,1354.0,1354.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n692,Apache Singa,apache/singa,distributed-ml,,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000,2022-04-30 03:22:30.000000,2021-08-10 09:12:48,2360,,791,131.0,881.0,40.0,57.0,2627,a distributed deep learning platform.,76.0,20,True,2020-04-21 08:01:08.000,3.0.0,16.0,,nusdbsystem/singa,apache/singa,,,1.0,1.0,,,,,10.0,https://anaconda.org/nusdbsystem/singa,2021-08-09 13:10:26.397,449.0,https://hub.docker.com/r/apache/singa,2019-06-04 04:32:52.195956,4.0,279.0,3.0,,,,,,,,,,,,,,,,,,,,,\n693,opyrator,ml-tooling/opyrator,others,,https://github.com/ml-tooling/opyrator,https://github.com/ml-tooling/opyrator,MIT,2021-04-06 08:09:06.000,2022-04-06 19:30:13.000000,2021-05-06 12:10:38,127,,122,45.0,24.0,2.0,24.0,2618,\"Turns your machine learning code into microservices with web API, interactive GUI, and more.\",4.0,20,True,2021-05-04 18:48:03.000,0.0.12,11.0,opyrator,conda-forge/opyrator,,,,32.0,32.0,https://pypi.org/project/opyrator,2021-05-04 18:48:03.000,,845.0,866.0,https://anaconda.org/conda-forge/opyrator,2022-01-08 18:03:03.967,87.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n694,Coach,IntelLabs/coach,reinforcement-learning,,https://github.com/IntelLabs/coach,https://github.com/IntelLabs/coach,Apache-2.0,2017-10-01 19:27:43.000,2021-12-27 09:52:12.000000,2021-06-28 07:40:53,521,,417,131.0,225.0,87.0,183.0,2142,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,35.0,20,True,2019-10-10 14:17:10.000,1.0.1,13.0,rl_coach,,,,,2.0,,https://pypi.org/project/rl_coach,2019-10-10 14:17:10.000,2.0,115.0,115.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n695,reformer-pytorch,lucidrains/reformer-pytorch,pytorch-utils,,https://github.com/lucidrains/reformer-pytorch,https://github.com/lucidrains/reformer-pytorch,MIT,2020-01-09 20:42:37.000,2021-11-06 23:09:00.000000,2021-11-06 23:08:22,245,,232,53.0,32.0,13.0,104.0,1729,\"Reformer, the efficient Transformer, in Pytorch.\",10.0,20,True,2021-11-06 23:09:00.000,1.4.4,139.0,reformer-pytorch,,,,['pytorch'],,,https://pypi.org/project/reformer-pytorch,2021-11-06 23:09:00.000,,4718.0,4718.0,,,,,,,,3.0,,,-2.0,,,,,,,,,,,,,,,,,,\n696,lore,instacart/lore,ml-experiments,,https://github.com/instacart/lore,https://github.com/instacart/lore,MIT,2017-10-19 21:51:45.000,2022-04-11 17:21:50.000000,2022-04-11 17:21:50,273,2.0,128,101.0,149.0,26.0,19.0,1538,Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers.,26.0,20,True,2022-02-02 23:30:10.000,0.8.5,232.0,lore,,,,,20.0,19.0,https://pypi.org/project/lore,2022-02-02 23:30:10.000,1.0,131.0,131.0,,,,,,,,3.0,,,-2.0,,,,,,,,,,,,,,,,,,\n697,Antialiased CNNs,adobe/antialiased-cnns,pytorch-utils,,https://github.com/adobe/antialiased-cnns,https://github.com/adobe/antialiased-cnns,CC BY-NC-SA 4.0,2019-05-14 20:51:25.000,2021-09-29 18:48:52.000000,2021-09-29 18:48:52,239,,191,37.0,6.0,11.0,31.0,1517,pip install antialiased-cnns to improve stability and accuracy.,6.0,20,False,2020-10-23 22:45:52.000,0.3,6.0,antialiased-cnns,,,,['pytorch'],25.0,23.0,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49.000,2.0,1143.0,1143.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n698,greykite,linkedin/greykite,time-series-data,,https://github.com/linkedin/greykite,https://github.com/linkedin/greykite,BSD-2-Clause,2021-04-27 17:05:53.000,2021-12-22 19:04:12.000000,2021-12-15 21:44:21,18,,68,36.0,12.0,8.0,52.0,1504,\"A flexible, intuitive and fast forecasting library.\",7.0,20,True,2021-12-22 19:04:12.000,0.1.1,7.0,greykite,,,,,8.0,8.0,https://pypi.org/project/greykite,2021-12-15 01:42:19.000,,51599.0,51599.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n699,qdrant,qdrant/qdrant,nlp,,https://github.com/qdrant/qdrant,https://github.com/qdrant/qdrant,Apache-2.0,2020-05-30 21:37:01.000,2022-05-05 12:32:00.000000,2022-05-05 12:32:00,547,179.0,86,20.0,353.0,48.0,139.0,1401,Qdrant - vector similarity search engine with extended filtering support.,24.0,20,True,2022-04-13 08:43:53.000,0.7.0,14.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n700,ecco,jalammar/ecco,interpretability,,https://github.com/jalammar/ecco,https://github.com/jalammar/ecco,BSD-3-Clause,2020-11-07 10:06:34.000,2022-03-27 16:48:51.000000,2022-01-18 08:05:49,304,,92,16.0,25.0,14.0,22.0,1387,\"Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter..\",10.0,20,True,2022-01-09 21:17:53.000,0.1.2,18.0,ecco,conda-forge/ecco,,,['pytorch'],8.0,7.0,https://pypi.org/project/ecco,2022-01-09 21:14:50.000,1.0,282.0,346.0,https://anaconda.org/conda-forge/ecco,2022-01-10 22:03:30.223,323.0,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,,,\n701,ThunderSVM,Xtra-Computing/thundersvm,ml-frameworks,,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04.000,2022-04-09 02:38:13.000000,2022-04-09 02:38:13,904,2.0,189,52.0,51.0,62.0,145.0,1382,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,34.0,20,True,2020-03-13 12:36:30.000,0.3.12,9.0,thundersvm,,,,,,,https://pypi.org/project/thundersvm,2020-03-13 12:36:30.000,,907.0,943.0,,,,,,,,3.0,2410.0,,,,,,,,,,,,,,,,,,,,\n702,Skater,oracle/Skater,interpretability,,https://github.com/oracle/Skater,https://github.com/oracle/Skater,UPL-1.0,2017-01-26 05:45:42.000,2022-02-11 18:01:55.000000,2022-02-11 18:01:55,1106,5.0,166,55.0,149.0,69.0,97.0,1027,Python Library for Model Interpretation/Explanations.,36.0,20,False,2018-09-21 07:03:32.000,1.1.2,23.0,skater,conda-forge/skater,,,,,,https://pypi.org/project/skater,2018-09-21 07:03:32.000,,729.0,1524.0,https://anaconda.org/conda-forge/skater,2021-11-15 19:51:51.883,46930.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n703,TensorNets,taehoonlee/tensornets,tensorflow-utils,,https://github.com/taehoonlee/tensornets,https://github.com/taehoonlee/tensornets,MIT,2017-09-19 05:19:01.000,2021-01-02 06:28:10.000000,2021-01-02 06:26:24,284,,185,51.0,12.0,16.0,42.0,1007,High level network definitions with pre-trained weights in TensorFlow.,6.0,20,False,2020-03-31 04:38:27.000,0.4.6,12.0,tensornets,,,,['tensorflow'],52.0,48.0,https://pypi.org/project/tensornets,2020-03-31 04:35:15.000,4.0,113.0,113.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n704,iNNvestigate,albermax/innvestigate,interpretability,,https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20.000,2022-05-02 15:48:07.000000,2021-08-03 15:45:16,943,,216,42.0,49.0,71.0,163.0,974,A toolbox to iNNvestigate neural networks predictions!.,19.0,20,True,2020-11-14 11:35:59.000,1.0.9,2.0,innvestigate,,,,['tensorflow'],1.0,,https://pypi.org/project/innvestigate,2020-11-14 11:35:59.000,1.0,379.0,379.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n705,torchsde,google-research/torchsde,pytorch-utils,,https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11.000,2021-07-26 13:59:41.000000,2021-07-26 13:59:38,157,,103,30.0,66.0,7.0,41.0,967,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,5.0,20,True,2021-07-20 07:09:56.000,0.2.5,4.0,torchsde,conda-forge/torchsde,,,['pytorch'],14.0,14.0,https://pypi.org/project/torchsde,2021-07-20 07:09:56.000,,1027.0,1580.0,https://anaconda.org/conda-forge/torchsde,2021-07-12 23:43:34.083,8856.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n706,mrq,pricingassistant/mrq,data-pipelines,,https://github.com/pricingassistant/mrq,https://github.com/pricingassistant/mrq,MIT,2014-02-13 09:32:40.000,2022-04-20 17:00:23.000000,2020-12-13 18:58:15,709,,113,64.0,65.0,59.0,119.0,864,Mr. Queue - A distributed worker task queue in Python using Redis & gevent.,40.0,20,False,2018-08-31 16:03:04.000,0.9.10,70.0,mrq,,,,,41.0,29.0,https://pypi.org/project/mrq,2018-08-31 16:03:04.000,12.0,118.0,118.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n707,Vulkan Kompute,KomputeProject/kompute,gpu-utilities,,https://github.com/KomputeProject/kompute,https://github.com/KomputeProject/kompute,Apache-2.0,2020-07-29 05:23:33.000,2022-05-04 06:42:30.000000,2022-05-04 06:42:30,1023,24.0,60,25.0,111.0,56.0,118.0,853,\"General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm,..\",19.0,20,True,2022-04-13 10:24:33.000,0.8.1,13.0,kp,,,,,3.0,3.0,https://pypi.org/project/kp,2022-04-13 10:22:18.000,,134.0,141.0,,,,,,,,3.0,153.0,,,,,,,,,,,,,,,,,,,,\n708,pytorch2keras,gmalivenko/pytorch2keras,model-serialisation,,https://github.com/gmalivenko/pytorch2keras,https://github.com/gmalivenko/pytorch2keras,MIT,2017-11-16 20:21:43.000,2022-03-07 13:17:47.000000,2021-08-06 08:18:46,282,,132,15.0,22.0,53.0,68.0,792,PyTorch to Keras model convertor.,13.0,20,True,2020-05-14 10:03:56.000,0.2.4,23.0,pytorch2keras,,,,,46.0,45.0,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56.000,1.0,748.0,748.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n709,Saliency,PAIR-code/saliency,tensorflow-utils,,https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35.000,2022-03-25 08:32:07.000000,2021-07-28 22:22:27,79,,165,28.0,53.0,14.0,26.0,787,\"Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).\",14.0,20,True,2021-05-03 16:33:29.000,0.1.3,10.0,saliency,,,,['tensorflow'],29.0,26.0,https://pypi.org/project/saliency,2021-05-03 16:33:29.000,3.0,811.0,811.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n710,TensorFrames,databricks/tensorframes,distributed-ml,,https://github.com/databricks/tensorframes,https://github.com/databricks/tensorframes,Apache-2.0,2016-03-04 19:25:19.000,2022-02-09 23:38:50.000000,2019-11-15 21:43:53,221,,157,72.0,94.0,51.0,43.0,761,[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark.,16.0,20,False,2018-11-16 20:50:02.000,0.6.0,6.0,tensorframes,,,,\"['tensorflow', 'spark']\",1.0,,https://pypi.org/project/tensorframes,2018-05-16 14:20:28.000,1.0,24995.0,24995.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n711,Test Tube,williamFalcon/test-tube,hyperopt,,https://github.com/williamFalcon/test-tube,https://github.com/williamFalcon/test-tube,MIT,2017-09-06 02:14:57.000,2021-10-14 18:44:27.000000,2020-03-17 22:44:47,642,,65,21.0,36.0,25.0,21.0,713,Python library to easily log experiments and parallelize hyperparameter search for neural networks.,16.0,20,False,2019-12-01 01:19:36.000,0.7.5,53.0,test_tube,,,,,5.0,,https://pypi.org/project/test_tube,2018-12-12 22:45:59.000,5.0,16719.0,16719.0,,,,,,,,3.0,11.0,,,,,,,,,,,,,,,,,,,,\n712,sklearn-deap,rsteca/sklearn-deap,hyperopt,,https://github.com/rsteca/sklearn-deap,https://github.com/rsteca/sklearn-deap,MIT,2015-10-28 22:52:34.000,2021-07-30 15:13:54.000000,2021-07-30 15:06:27,104,,114,30.0,25.0,21.0,34.0,693,Use evolutionary algorithms instead of gridsearch in scikit-learn.,22.0,20,True,2021-07-30 15:13:54.000,0.3.0,14.0,sklearn-deap,,,,['sklearn'],33.0,31.0,https://pypi.org/project/sklearn-deap,2021-07-30 15:13:54.000,2.0,1111.0,1111.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n713,TensorBoard Logger,TeamHG-Memex/tensorboard_logger,ml-experiments,,https://github.com/TeamHG-Memex/tensorboard_logger,https://github.com/TeamHG-Memex/tensorboard_logger,MIT,2016-10-27 14:02:25.000,2021-11-15 17:46:29.000000,2019-10-21 07:52:07,46,,51,29.0,11.0,11.0,15.0,620,Log TensorBoard events without touching TensorFlow.,5.0,20,False,2018-02-08 07:28:51.000,0.1.0,5.0,tensorboard_logger,,,,,51.0,,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51.000,51.0,48963.0,48963.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n714,Baal,ElementAI/baal,probabilistics,,https://github.com/ElementAI/baal,https://github.com/ElementAI/baal,Apache-2.0,2019-09-30 20:16:26.000,2022-05-04 11:29:40.433000,2022-05-03 12:49:40,169,15.0,52,19.0,120.0,16.0,56.0,579,Library to enable Bayesian active learning in your research or labeling work.,13.0,20,True,2022-05-03 12:50:35.000,1.6.0,15.0,baal,conda-forge/baal,,,,1.0,,https://pypi.org/project/baal,2022-05-03 12:50:00.000,1.0,1442.0,1529.0,https://anaconda.org/conda-forge/baal,2022-05-04 11:29:40.433,1401.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n715,TSFEL,fraunhoferportugal/tsfel,time-series-data,,https://github.com/fraunhoferportugal/tsfel,https://github.com/fraunhoferportugal/tsfel,BSD-3-Clause,2019-01-09 16:41:30.000,2022-04-05 16:42:19.000000,2022-03-16 14:38:31,280,3.0,62,18.0,65.0,6.0,43.0,500,An intuitive library to extract features from time series.,14.0,20,True,2021-02-14 17:48:46.000,0.1.4,8.0,tsfel,,,,,34.0,34.0,https://pypi.org/project/tsfel,2021-02-14 17:40:32.000,,5084.0,5084.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n716,PyWaffle,gyli/PyWaffle,data-viz,,https://github.com/gyli/PyWaffle,https://github.com/gyli/PyWaffle,MIT,2017-11-14 20:03:47.000,2021-12-22 15:04:00.863000,2021-12-21 16:13:08,262,,88,9.0,10.0,4.0,12.0,488,Make Waffle Charts in Python.,6.0,20,True,2021-12-21 16:10:13.000,0.6.4,25.0,pywaffle,conda-forge/pywaffle,,,,128.0,127.0,https://pypi.org/project/pywaffle,2021-12-21 16:10:13.000,1.0,3397.0,3504.0,https://anaconda.org/conda-forge/pywaffle,2021-12-22 15:04:00.863,4405.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n717,aequitas,dssg/aequitas,interpretability,,https://github.com/dssg/aequitas,https://github.com/dssg/aequitas,MIT,2018-02-13 19:40:30.000,2021-07-13 10:19:56.000000,2021-05-27 09:45:10,857,,88,42.0,56.0,37.0,21.0,469,Bias and Fairness Audit Toolkit.,16.0,20,True,2020-12-16 11:48:14.000,0.42.0,16.0,aequitas,,,,,105.0,99.0,https://pypi.org/project/aequitas,2020-12-16 11:48:14.000,6.0,727.0,727.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n718,pydlm,wwrechard/pydlm,time-series-data,,https://github.com/wwrechard/pydlm,https://github.com/wwrechard/pydlm,BSD-3-Clause,2016-06-29 07:58:53.000,2021-02-24 14:21:28.000000,2019-10-22 07:18:40,362,,89,28.0,11.0,35.0,8.0,416,A python library for Bayesian time series modeling.,6.0,20,False,2016-11-06 01:43:35.000,0.1.1,13.0,pydlm,,,,,27.0,25.0,https://pypi.org/project/pydlm,2018-12-19 10:27:54.000,2.0,27176.0,27176.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n719,bodywork-core,bodywork-ml/bodywork-core,data-pipelines,,https://github.com/bodywork-ml/bodywork-core,https://github.com/bodywork-ml/bodywork-core,AGPL-3.0,2020-11-17 11:38:17.000,2022-05-01 17:59:35.000000,2022-04-28 15:35:12,841,52.0,16,9.0,110.0,5.0,56.0,334,\"ML pipeline orchestration and model deployments on Kubernetes, made really easy.\",4.0,20,False,2022-04-28 15:41:20.000,3.0.4,53.0,bodywork,,,,,10.0,10.0,https://pypi.org/project/bodywork,2022-04-28 15:41:20.000,,919.0,919.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n720,impyute,eltonlaw/impyute,others,,https://github.com/eltonlaw/impyute,https://github.com/eltonlaw/impyute,MIT,2017-01-21 09:16:27.000,2021-11-06 21:15:04.000000,2021-11-06 21:15:04,292,,44,8.0,37.0,27.0,37.0,314,Data imputations library to preprocess datasets with missing data.,11.0,20,True,2019-04-29 02:31:32.000,0.0.8,8.0,impyute,,,,,137.0,134.0,https://pypi.org/project/impyute,2019-04-29 02:31:32.000,3.0,5322.0,5322.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n721,fastT5,Ki6an/fastT5,nlp,,https://github.com/Ki6an/fastT5,https://github.com/Ki6an/fastT5,Apache-2.0,2021-03-11 08:46:42.000,2022-04-05 03:23:12.000000,2022-04-05 03:21:24,38,6.0,34,8.0,9.0,16.0,29.0,290,boost inference speed of T5 models by 5x & reduce the model size by 3x.,5.0,20,False,2022-04-05 03:23:12.000,0.1.4,14.0,fastt5,,,,,13.0,13.0,https://pypi.org/project/fastt5,2022-04-05 03:23:12.000,,1743.0,1743.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n722,pyfasttext,vrasneur/pyfasttext,nlp,,https://github.com/vrasneur/pyfasttext,https://github.com/vrasneur/pyfasttext,GPL-3.0,2017-06-30 18:44:42.000,2018-12-08 15:32:09.000000,2018-12-08 15:02:12,153,,30,9.0,4.0,21.0,28.0,230,Yet another Python binding for fastText.,4.0,20,False,2018-12-08 15:32:09.000,0.4.6,13.0,pyfasttext,,,,,233.0,220.0,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09.000,13.0,4083.0,4089.0,,,,,,,,3.0,347.0,,,,,,,,,,,,,,,,,,,,\n723,Funsor,pyro-ppl/funsor,probabilistics,,https://github.com/pyro-ppl/funsor,https://github.com/pyro-ppl/funsor,Apache-2.0,2019-01-30 23:13:39.000,2022-04-12 01:37:13.000000,2022-04-08 17:51:44,568,7.0,17,16.0,453.0,84.0,74.0,193,Functional tensors for probabilistic programming.,10.0,20,False,2022-03-21 15:23:15.000,0.4.3,9.0,funsor,,,,['pytorch'],33.0,30.0,https://pypi.org/project/funsor,2022-03-21 15:16:11.000,3.0,1265.0,1265.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n724,nvidia-ml-py3,nicolargo/nvidia-ml-py3,gpu-utilities,,https://github.com/nicolargo/nvidia-ml-py3,https://github.com/nicolargo/nvidia-ml-py3,BSD-3-Clause,2017-06-03 07:47:03.000,2021-07-24 06:21:40.748000,2019-03-06 20:41:09,5,,49,3.0,1.0,2.0,,77,Python 3 Bindings for the NVIDIA Management Library.,2.0,20,False,2017-06-03 07:43:46.000,7.352.0,1.0,nvidia-ml-py3,anaconda/nvidia-ml,,,,5679.0,5546.0,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46.000,133.0,766691.0,766694.0,https://anaconda.org/anaconda/nvidia-ml,2021-07-24 06:21:40.748,38.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n725,DE⫶TR,facebookresearch/detr,image,,https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52.000,2022-05-02 00:55:51.000000,2022-03-07 12:59:53,46,1.0,1570,149.0,73.0,158.0,270.0,8768,End-to-End Object Detection with Transformers.,25.0,19,True,2020-06-29 16:41:01.000,0.2,1.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n726,DeepMind Lab,deepmind/lab,reinforcement-learning,,https://github.com/deepmind/lab,https://github.com/deepmind/lab,GPL-2.0,2016-11-30 13:41:26.000,2022-03-16 12:22:35.000000,2022-01-05 13:45:51,493,,1323,475.0,18.0,54.0,161.0,6682,A customisable 3D platform for agent-based AI research.,7.0,19,False,2020-12-07 11:26:33.000,release-2020-12-07,8.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n727,BytePS,bytedance/byteps,distributed-ml,,https://github.com/bytedance/byteps,https://github.com/bytedance/byteps,Apache-2.0,2019-06-25 07:00:13.000,2022-04-28 01:55:08.000000,2022-02-10 07:36:23,432,1.0,443,83.0,179.0,100.0,159.0,3160,A high performance and generic framework for distributed DNN training.,19.0,19,True,2020-08-27 15:42:13.000,0.2.4,8.0,byteps,,bytepsimage/tensorflow,,,,,https://pypi.org/project/byteps,2021-08-02 17:37:42.000,,45.0,80.0,,,,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,1256.0,3.0,,,,,,,,,,,,,,,,,,,,,\n728,finmarketpy,cuemacro/finmarketpy,financial-data,,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03.000,2022-04-05 16:57:55.000000,2022-04-05 16:57:43,679,1.0,448,217.0,16.0,23.0,3.0,2905,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,14.0,19,True,2021-10-07 14:58:03.000,0.11.11,12.0,finmarketpy,,,,,5.0,5.0,https://pypi.org/project/finmarketpy,2021-10-07 14:58:03.000,,59.0,59.0,,,,,,,,3.0,40.0,,,,,,,,,,,,,,,,,,,,\n729,Backtesting.py,kernc/backtesting.py,financial-data,,https://github.com/kernc/backtesting.py,https://github.com/kernc/backtesting.py,AGPL-3.0,2019-01-02 03:11:32.000,2022-04-20 04:17:48.000000,2022-03-27 23:39:16,252,2.0,497,88.0,58.0,51.0,251.0,2402,Backtest trading strategies in Python.,15.0,19,False,2017-07-22 02:00:06.000,0.0.1,1.0,backtesting,,,,,2.0,,https://pypi.org/project/backtesting,2017-07-22 02:00:06.000,2.0,6182.0,6182.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n730,pdftabextract,WZBSocialScienceCenter/pdftabextract,ocr,,https://github.com/WZBSocialScienceCenter/pdftabextract,https://github.com/WZBSocialScienceCenter/pdftabextract,Apache-2.0,2016-07-08 11:44:46.000,2022-03-07 07:43:55.000000,2022-03-07 07:43:44,169,1.0,346,88.0,3.0,3.0,18.0,1981,A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.,2.0,19,True,2018-01-09 08:00:24.000,0.3.0,5.0,pdftabextract,,,,,40.0,39.0,https://pypi.org/project/pdftabextract,2018-01-09 08:00:24.000,1.0,567.0,567.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n731,spark-deep-learning,databricks/spark-deep-learning,data-pipelines,,https://github.com/databricks/spark-deep-learning,https://github.com/databricks/spark-deep-learning,Apache-2.0,2017-05-31 17:30:28.000,2022-03-21 17:15:55.000000,2022-03-21 17:12:16,138,2.0,459,151.0,142.0,77.0,27.0,1924,Deep Learning Pipelines for Apache Spark.,17.0,19,True,2020-01-08 19:50:31.000,1.6.0,9.0,,,,,['spark'],21.0,21.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n732,pycls,facebookresearch/pycls,image,,https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17.000,2022-04-29 07:51:07.000000,2022-04-14 17:40:30,100,9.0,224,59.0,104.0,25.0,56.0,1896,\"Codebase for Image Classification Research, written in PyTorch.\",16.0,19,True,2021-05-21 00:29:47.000,0.2,3.0,pycls,,,,['pytorch'],5.0,5.0,https://pypi.org/project/pycls,2020-09-05 00:21:00.000,,427.0,427.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n733,doc2text,jlsutherland/doc2text,ocr,,https://github.com/jlsutherland/doc2text,https://github.com/jlsutherland/doc2text,MIT,2016-08-28 19:30:02.000,2020-12-01 22:56:27.000000,2020-12-01 22:56:26,62,,101,40.0,13.0,14.0,9.0,1253,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,5.0,19,False,2016-09-06 21:59:21.000,0.2.4,5.0,doc2text,,,,,53.0,53.0,https://pypi.org/project/doc2text,2016-09-06 21:59:21.000,,423.0,423.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n734,AdvBox,advboxes/AdvBox,adversarial,,https://github.com/advboxes/AdvBox,https://github.com/advboxes/AdvBox,Apache-2.0,2018-08-08 08:55:41.000,2022-03-11 23:28:41.000000,2021-05-03 22:51:52,375,,244,57.0,52.0,8.0,30.0,1230,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,19.0,19,True,2018-12-05 02:48:50.000,0.4.1,2.0,advbox,,,,,,,https://pypi.org/project/advbox,2018-12-05 02:48:50.000,,38.0,38.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n735,sklearn-porter,nok/sklearn-porter,model-serialisation,,https://github.com/nok/sklearn-porter,https://github.com/nok/sklearn-porter,MIT,2016-06-22 22:21:34.000,2022-02-02 16:58:53.000000,2019-12-18 13:31:50,699,,157,35.0,20.0,42.0,29.0,1145,\"Transpile trained scikit-learn estimators to C, Java, JavaScript and others.\",11.0,19,False,2019-12-18 13:39:19.000,0.7.4,20.0,sklearn-porter,,,,['sklearn'],1.0,,https://pypi.org/project/sklearn-porter,2019-12-18 13:39:19.000,1.0,293.0,293.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n736,Torch-Struct,harvardnlp/pytorch-struct,pytorch-utils,,https://github.com/harvardnlp/pytorch-struct,https://github.com/harvardnlp/pytorch-struct,MIT,2019-08-26 19:34:30.000,2022-04-20 08:21:20.000000,2022-01-30 19:49:08,271,,81,32.0,72.0,24.0,30.0,1027,\"Fast, general, and tested differentiable structured prediction in PyTorch.\",16.0,19,True,2021-02-15 20:20:59.000,0.5,2.0,torch-struct,,,,['pytorch'],,,https://pypi.org/project/torch-struct,2021-02-14 02:43:46.000,,33283.0,33283.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n737,ADTK,arundo/adtk,time-series-data,,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22.000,2021-07-18 06:52:12.000000,2020-04-17 02:27:44,79,,99,26.0,73.0,29.0,36.0,812,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,11.0,19,False,2020-04-17 02:18:00.000,0.6.2,13.0,adtk,conda-forge/adtk,,,,,,https://pypi.org/project/adtk,2020-04-17 02:18:00.000,,212471.0,212622.0,https://anaconda.org/conda-forge/adtk,2020-04-20 19:46:14.062,3941.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n738,AutoGL,THUMNLab/AutoGL,graph,,https://github.com/THUMNLab/AutoGL,https://github.com/THUMNLab/AutoGL,Apache-2.0,2020-11-30 14:26:22.000,2022-04-25 02:53:25.000000,2022-04-19 03:40:55,617,50.0,87,28.0,86.0,6.0,14.0,788,An autoML framework & toolkit for machine learning on graphs.,13.0,19,True,2022-04-22 06:08:57.000,0.3.1,3.0,auto-graph-learning,,,,['pytorch'],,,https://pypi.org/project/auto-graph-learning,2020-12-23 08:05:25.000,,26.0,26.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n739,AlphaPy,ScottfreeLLC/AlphaPy,hyperopt,,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32.000,2022-04-23 13:47:59.000000,2022-04-23 13:47:59,417,4.0,158,58.0,3.0,12.0,29.0,773,\"Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost.\",3.0,19,True,2020-08-29 18:48:20.000,2.5.0,25.0,alphapy,,,,,3.0,3.0,https://pypi.org/project/alphapy,2020-08-29 18:44:15.000,,134.0,134.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n740,matrixprofile-ts,target/matrixprofile-ts,time-series-data,,https://github.com/target/matrixprofile-ts,https://github.com/target/matrixprofile-ts,Apache-2.0,2018-09-10 19:03:34.000,2020-04-25 18:38:20.000000,2020-04-25 18:37:42,198,,96,24.0,46.0,19.0,34.0,675,A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile.,15.0,19,False,2019-08-08 01:24:38.000,0.0.9,9.0,matrixprofile-ts,,,,,18.0,18.0,https://pypi.org/project/matrixprofile-ts,2019-08-08 01:24:38.000,,974.0,974.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n741,finetune,IndicoDataSolutions/finetune,nlp,,https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16.000,2022-05-05 06:32:36.000000,2022-05-03 23:38:07,1485,2.0,70,35.0,561.0,22.0,117.0,660,Scikit-learn style model finetuning for NLP.,19.0,19,True,2020-01-10 22:42:24.000,0.8.6,38.0,finetune,,,,\"['tensorflow', 'sklearn']\",11.0,9.0,https://pypi.org/project/finetune,2021-12-20 14:14:00.000,2.0,36.0,36.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n742,Dragonfly,dragonfly/dragonfly,hyperopt,,https://github.com/dragonfly/dragonfly,https://github.com/dragonfly/dragonfly,MIT,2018-04-20 22:19:50.000,2021-07-31 04:54:26.000000,2020-07-03 18:01:17,397,,205,29.0,35.0,36.0,19.0,639,An open source python library for scalable Bayesian optimisation.,12.0,19,False,2020-07-03 18:05:12.000,0.1.6,9.0,dragonfly-opt,,,,,2.0,,https://pypi.org/project/dragonfly-opt,2020-07-03 18:05:12.000,2.0,29363.0,29363.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n743,cuSignal,rapidsai/cusignal,gpu-utilities,,https://github.com/rapidsai/cusignal,https://github.com/rapidsai/cusignal,Apache-2.0,2019-08-22 14:27:27.000,2022-04-25 09:36:11.000000,2022-04-22 17:59:06,1196,13.0,91,41.0,347.0,15.0,118.0,592,GPU accelerated signal processing.,38.0,19,True,2022-04-06 14:58:42.000,22.04.00,12.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n744,tcav,tensorflow/tcav,interpretability,,https://github.com/tensorflow/tcav,https://github.com/tensorflow/tcav,Apache-2.0,2018-07-03 17:45:35.000,2022-04-22 13:52:35.000000,2021-09-16 17:56:31,171,,127,31.0,70.0,7.0,54.0,516,Code for the TCAV ML interpretability project.,19.0,19,True,2021-02-23 16:17:42.000,0.2.2,4.0,tcav,,,,['tensorflow'],14.0,11.0,https://pypi.org/project/tcav,2021-02-23 16:17:42.000,3.0,77.0,77.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n745,deepsnap,snap-stanford/deepsnap,graph,,https://github.com/snap-stanford/deepsnap,https://github.com/snap-stanford/deepsnap,MIT,2020-06-06 21:17:38.000,2021-09-28 07:21:22.000000,2021-09-19 23:51:06,406,,45,59.0,6.0,15.0,24.0,413,Python library assists deep learning on graphs.,15.0,19,True,2021-09-05 23:08:21.000,0.2.1,5.0,deepsnap,,,,,21.0,20.0,https://pypi.org/project/deepsnap,2021-09-05 22:57:16.000,1.0,380.0,380.0,,,,,,,,3.0,8.0,,,,,,,,,,,,,,,,,,,,\n746,DESlib,scikit-learn-contrib/DESlib,sklearn-utils,,https://github.com/scikit-learn-contrib/DESlib,https://github.com/scikit-learn-contrib/DESlib,BSD-3-Clause,2017-12-08 22:49:49.000,2022-04-03 18:07:40.000000,2021-10-10 00:13:26,273,,73,16.0,122.0,14.0,129.0,397,A Python library for dynamic classifier and ensemble selection.,13.0,19,True,2021-02-08 06:29:25.000,0.3.5,4.0,deslib,,,,['sklearn'],26.0,24.0,https://pypi.org/project/deslib,2021-02-08 06:29:25.000,2.0,511.0,511.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n747,scikit-rebate,EpistasisLab/scikit-rebate,others,,https://github.com/EpistasisLab/scikit-rebate,https://github.com/EpistasisLab/scikit-rebate,MIT,2016-09-19 13:36:17.000,2021-12-29 00:49:30.000000,2021-02-15 17:10:59,283,,64,23.0,47.0,13.0,19.0,355,\"A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for..\",13.0,19,False,2017-04-12 16:12:01.000,0.3.4,13.0,skrebate,conda-forge/skrebate,,,['sklearn'],40.0,,https://pypi.org/project/skrebate,2021-03-20 17:11:52.000,40.0,4268.0,4734.0,https://anaconda.org/conda-forge/skrebate,2021-02-16 02:08:21.926,24249.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n748,elegy,poets-ai/elegy,ml-frameworks,,https://github.com/poets-ai/elegy,https://github.com/poets-ai/elegy,MIT,2020-06-30 14:00:37.000,2022-05-04 15:12:45.000000,2022-03-23 21:47:08,338,14.0,23,12.0,143.0,30.0,66.0,353,A High Level API for Deep Learning in JAX.,17.0,19,True,2022-03-23 21:51:07.000,0.8.6,33.0,elegy,,,,\"['tensorflow', 'jax']\",,,https://pypi.org/project/elegy,2022-04-22 15:42:03.000,,923.0,923.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n749,MXBoard,awslabs/mxboard,ml-experiments,,https://github.com/awslabs/mxboard,https://github.com/awslabs/mxboard,Apache-2.0,2018-02-06 23:03:51.000,2021-11-30 10:46:24.000000,2020-01-24 23:21:55,42,,46,25.0,19.0,16.0,15.0,332,Logging MXNet data for visualization in TensorBoard.,9.0,19,False,2018-05-22 20:25:51.000,0.1.0,12.0,mxboard,,,,['mxnet'],148.0,141.0,https://pypi.org/project/mxboard,2018-05-22 20:25:51.000,7.0,2521.0,2521.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n750,chefboost,serengil/chefboost,ml-frameworks,,https://github.com/serengil/chefboost,https://github.com/serengil/chefboost,MIT,2019-03-06 12:26:27.000,2022-03-23 06:28:35.000000,2022-03-23 06:28:35,352,7.0,85,14.0,3.0,5.0,17.0,321,\"A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some..\",6.0,19,True,2022-02-16 06:14:54.000,0.0.17,17.0,chefboost,,,,,23.0,23.0,https://pypi.org/project/chefboost,2022-02-16 06:14:54.000,,827.0,827.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n751,SUOD,yzhao062/SUOD,others,,https://github.com/yzhao062/SUOD,https://github.com/yzhao062/SUOD,BSD-2-Clause,2019-11-20 00:23:54.000,2022-04-11 14:23:30.000000,2022-04-11 14:23:27,145,1.0,41,14.0,1.0,6.0,3.0,320,(MLSys 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection).,1.0,19,True,2021-10-01 18:05:35.000,0.0.8,9.0,suod,,,,,422.0,422.0,https://pypi.org/project/suod,2021-10-01 18:05:35.000,,24125.0,24125.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n752,textpipe,textpipe/textpipe,nlp,,https://github.com/textpipe/textpipe,https://github.com/textpipe/textpipe,MIT,2018-06-21 16:23:32.000,2021-06-09 11:55:53.000000,2021-06-09 11:55:53,371,,23,23.0,239.0,24.0,25.0,295,Textpipe: clean and extract metadata from text.,28.0,19,False,2021-01-25 14:05:21.000,0.12.2,39.0,textpipe,,,,,9.0,8.0,https://pypi.org/project/textpipe,2021-01-25 14:05:21.000,1.0,639.0,639.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n753,sk-dist,Ibotta/sk-dist,distributed-ml,,https://github.com/Ibotta/sk-dist,https://github.com/Ibotta/sk-dist,Apache-2.0,2019-08-14 21:07:17.000,2021-07-07 00:44:10.000000,2021-07-07 00:44:07,58,,48,25.0,38.0,7.0,10.0,277,Distributed scikit-learn meta-estimators in PySpark.,7.0,19,False,2020-05-14 22:20:14.000,0.1.9,12.0,sk-dist,,,,\"['sklearn', 'spark']\",12.0,10.0,https://pypi.org/project/sk-dist,2020-05-14 22:20:14.000,2.0,44931.0,44931.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n754,model-card-toolkit,tensorflow/model-card-toolkit,interpretability,,https://github.com/tensorflow/model-card-toolkit,https://github.com/tensorflow/model-card-toolkit,Apache-2.0,2020-07-24 16:48:58.000,2022-04-28 23:30:26.000000,2022-04-28 23:30:20,217,24.0,47,12.0,202.0,16.0,2.0,274,a tool that leverages rich metadata and lineage information in MLMD to build a model card.,13.0,19,False,2022-04-28 16:34:21.000,1.3.2,10.0,model-card-toolkit,,,,,8.0,8.0,https://pypi.org/project/model-card-toolkit,2022-04-28 16:34:21.000,,1270.0,1270.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n755,ivis,beringresearch/ivis,data-viz,,https://github.com/beringresearch/ivis,https://github.com/beringresearch/ivis,Apache-2.0,2018-08-13 08:31:01.000,2022-03-10 14:58:27.000000,2022-03-10 14:38:17,614,3.0,33,12.0,60.0,3.0,51.0,260,Dimensionality reduction in very large datasets using Siamese Networks.,10.0,19,False,2022-03-10 14:58:28.000,2.07,33.0,ivis,,,,['tensorflow'],22.0,21.0,https://pypi.org/project/ivis,2022-03-10 14:57:02.000,1.0,255.0,255.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n756,somoclu,peterwittek/somoclu,distributed-ml,,https://github.com/peterwittek/somoclu,https://github.com/peterwittek/somoclu,MIT,2013-01-16 06:33:16.000,2021-11-15 19:51:57.895000,2021-10-31 08:28:12,619,,62,26.0,29.0,26.0,107.0,236,\"Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters.\",19.0,19,False,2021-10-31 08:33:47.000,1.7.6,17.0,somoclu,conda-forge/somoclu,,,,7.0,,https://pypi.org/project/somoclu,2020-04-25 05:33:32.000,7.0,1549.0,2594.0,https://anaconda.org/conda-forge/somoclu,2021-11-15 19:51:57.895,58588.0,,,,,3.0,1593.0,,,,,,,,,,,,,,,,,,,,\n757,celer,mathurinm/celer,sklearn-utils,,https://github.com/mathurinm/celer,https://github.com/mathurinm/celer,BSD-3-Clause,2018-02-20 19:37:31.000,2022-05-05 13:25:57.000000,2022-04-25 10:05:32,239,11.0,25,9.0,166.0,20.0,62.0,139,\"Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.\",11.0,19,False,2021-10-28 09:58:28.000,0.6.1,11.0,celer,,,,['sklearn'],11.0,11.0,https://pypi.org/project/celer,2021-10-28 09:58:28.000,,473.0,473.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n758,SerpentAI,SerpentAI/SerpentAI,reinforcement-learning,,https://github.com/SerpentAI/SerpentAI,https://github.com/SerpentAI/SerpentAI,MIT,2017-04-16 21:48:39.000,2021-12-05 00:55:52.000000,2020-05-22 22:34:09,250,,736,332.0,58.0,2.0,,6248,Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!.,7.0,18,False,2018-02-17 00:12:46.000,2018.1.2,18.0,SerpentAI,,,,,,,https://pypi.org/project/SerpentAI,2018-02-17 00:12:46.000,,59.0,66.0,,,,,,,,3.0,170.0,,,,,,,,,,,,,,,,,,,,\n759,PySlowFast,facebookresearch/SlowFast,image,,https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26.000,2022-04-27 05:39:20.000000,2022-04-27 05:37:44,165,2.0,920,95.0,35.0,256.0,249.0,4758,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,26.0,18,True,,,1.0,pyslowfast,,,,['pytorch'],7.0,7.0,https://pypi.org/project/pyslowfast,2020-01-15 23:51:07.000,,14.0,14.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n760,Spotlight,maciejkula/spotlight,recommender-systems,,https://github.com/maciejkula/spotlight,https://github.com/maciejkula/spotlight,MIT,2017-06-25 18:52:19.000,2020-11-15 08:21:28.000000,2020-02-09 21:03:48,299,,394,110.0,79.0,67.0,48.0,2714,Deep recommender models using PyTorch.,11.0,18,False,2019-09-08 10:19:53.000,0.1.6,7.0,,maciejkula/spotlight,,,['pytorch'],,,,,,,116.0,https://anaconda.org/maciejkula/spotlight,2018-05-27 18:32:12.235,6844.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n761,pytorchviz,szagoruyko/pytorchviz,pytorch-utils,,https://github.com/szagoruyko/pytorchviz,https://github.com/szagoruyko/pytorchviz,MIT,2018-01-30 15:37:55.000,2021-07-15 01:54:59.000000,2021-06-15 18:41:51,22,,224,31.0,18.0,19.0,35.0,2213,A small package to create visualizations of PyTorch execution graphs.,6.0,18,True,,,,,,,,,649.0,649.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n762,riko,nerevu/riko,data-pipelines,,https://github.com/nerevu/riko,https://github.com/nerevu/riko,MIT,2016-06-02 12:22:51.000,2021-12-28 23:04:04.000000,2021-12-28 23:01:31,1269,,75,53.0,23.0,22.0,8.0,1586,A Python stream processing engine modeled after Yahoo! Pipes.,18.0,18,True,2021-12-28 23:04:04.000,0.67.0,59.0,riko,,,,,1.0,,https://pypi.org/project/riko,2021-12-28 23:04:04.000,1.0,35.0,35.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n763,Tez,abhishekkrthakur/tez,pytorch-utils,,https://github.com/abhishekkrthakur/tez,https://github.com/abhishekkrthakur/tez,Apache-2.0,2020-11-13 10:19:22.000,2022-04-15 19:44:37.000000,2022-04-15 19:43:58,117,32.0,130,13.0,6.0,16.0,16.0,1025,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,1.0,18,True,2022-04-15 19:44:37.000,0.6.5,21.0,tez,,,,['pytorch'],26.0,24.0,https://pypi.org/project/tez,2022-04-15 19:44:37.000,2.0,916.0,916.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n764,Fiber,uber/fiber,distributed-ml,,https://github.com/uber/fiber,https://github.com/uber/fiber,Apache-2.0,2020-01-07 18:16:24.000,2021-06-30 02:02:42.000000,2021-03-15 07:00:08,66,,107,23.0,34.0,20.0,8.0,966,Distributed Computing for AI Made Simple.,5.0,18,False,2020-07-09 03:28:28.000,0.2.1,6.0,fiber,,,,,37.0,36.0,https://pypi.org/project/fiber,2020-07-09 03:28:28.000,1.0,1801.0,1801.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n765,Databolt Flow,d6t/d6tflow,data-pipelines,,https://github.com/d6t/d6tflow,https://github.com/d6t/d6tflow,MIT,2019-02-03 01:51:22.000,2021-10-06 00:53:48.000000,2021-09-28 02:59:00,266,,70,22.0,18.0,10.0,13.0,939,Python library for building highly effective data science workflows.,12.0,18,True,2021-10-06 00:53:48.000,0.2.5,21.0,d6tflow,,,,,20.0,20.0,https://pypi.org/project/d6tflow,2021-10-06 00:53:48.000,,320.0,320.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n766,scenic,google-research/scenic,image,,https://github.com/google-research/scenic,https://github.com/google-research/scenic,Apache-2.0,2021-07-12 14:27:08.000,2022-05-04 20:21:35.000000,2022-05-04 20:21:28,246,72.0,107,26.0,272.0,17.0,20.0,887,Scenic: A Jax Library for Computer Vision Research and Beyond.,36.0,18,True,,,,,,,,['jax'],16.0,16.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n767,jraph,deepmind/jraph,graph,,https://github.com/deepmind/jraph,https://github.com/deepmind/jraph,Apache-2.0,2020-11-23 10:27:12.000,2022-05-05 11:13:32.000000,2022-03-17 11:10:27,77,6.0,57,34.0,10.0,11.0,9.0,882,A Graph Neural Network Library in Jax.,14.0,18,True,2021-11-19 18:56:04.000,0.0.2.de0,2.0,jraph,conda-forge/jraph,,,['jax'],18.0,16.0,https://pypi.org/project/jraph,2021-11-19 19:05:01.000,2.0,1586.0,1638.0,https://anaconda.org/conda-forge/jraph,2021-10-31 19:30:27.109,364.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n768,FinQuant,fmilthaler/FinQuant,financial-data,,https://github.com/fmilthaler/FinQuant,https://github.com/fmilthaler/FinQuant,MIT,2019-01-20 15:07:19.000,2021-04-05 00:03:18.000000,2020-05-03 16:12:29,469,,103,33.0,42.0,16.0,11.0,758,\"A program for financial portfolio management, analysis and optimisation.\",9.0,18,False,2020-05-03 16:19:19.000,0.2.2,6.0,FinQuant,,,,,27.0,27.0,https://pypi.org/project/FinQuant,2020-05-03 16:19:19.000,,236.0,236.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n769,robustness,MadryLab/robustness,adversarial,,https://github.com/MadryLab/robustness,https://github.com/MadryLab/robustness,MIT,2019-08-21 09:26:33.000,2022-04-20 20:42:41.000000,2022-02-14 20:43:06,145,4.0,137,18.0,40.0,17.0,56.0,692,\"A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.\",13.0,18,True,2020-12-01 06:11:12.000,1.2.1.post2,10.0,robustness,conda-forge/robustness,,,,77.0,75.0,https://pypi.org/project/robustness,2020-12-01 06:21:33.000,2.0,628.0,789.0,https://anaconda.org/conda-forge/robustness,2021-04-30 19:03:43.367,3383.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n770,baikal,alegonz/baikal,others,,https://github.com/alegonz/baikal,https://github.com/alegonz/baikal,BSD-3-Clause,2019-01-21 12:59:02.000,2022-04-11 10:14:45.147000,2021-04-11 07:50:00,405,,29,20.0,38.0,6.0,14.0,592,A graph-based functional API for building complex scikit-learn pipelines.,2.0,18,False,2020-11-15 13:40:18.000,0.4.2,10.0,baikal,conda-forge/cython-blis,,,,4.0,3.0,https://pypi.org/project/baikal,2020-11-15 13:40:18.000,1.0,466.0,38101.0,https://anaconda.org/conda-forge/cython-blis,2022-04-11 10:14:45.147,1430146.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n771,kale,kubeflow-kale/kale,data-pipelines,,https://github.com/kubeflow-kale/kale,https://github.com/kubeflow-kale/kale,Apache-2.0,2019-01-24 17:58:44.000,2022-04-09 05:46:45.000000,2021-10-20 12:44:09,644,,103,17.0,260.0,83.0,74.0,529,Kubeflows superfood for Data Scientists.,10.0,18,True,2021-05-19 12:56:53.000,0.7.0,15.0,kubeflow-kale,,,,['jupyter'],,,https://pypi.org/project/kubeflow-kale,2021-05-19 12:56:53.000,,1589.0,1589.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n772,Auto Tune Models,HDI-Project/ATM,hyperopt,,https://github.com/HDI-Project/ATM,https://github.com/HDI-Project/ATM,MIT,2016-10-14 18:03:00.000,2020-02-21 17:44:07.000000,2020-02-21 17:40:58,775,,130,59.0,72.0,18.0,71.0,519,\"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).\",16.0,18,False,2019-07-30 09:28:26.000,0.2.2,14.0,atm,,,,,11.0,11.0,https://pypi.org/project/atm,2019-07-30 09:25:11.000,,128.0,128.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n773,N2,kakao/n2,nn-search,,https://github.com/kakao/n2,https://github.com/kakao/n2,Apache-2.0,2017-11-23 02:27:59.000,2021-05-20 05:41:36.000000,2021-05-20 05:39:44,264,,64,40.0,16.0,17.0,20.0,513,TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets.,18.0,18,True,2020-10-16 03:43:47.000,0.1.7,9.0,n2,,,,,26.0,23.0,https://pypi.org/project/n2,2020-10-16 03:10:01.000,3.0,631.0,631.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n774,Auto TS,AutoViML/Auto_TS,time-series-data,,https://github.com/AutoViML/Auto_TS,https://github.com/AutoViML/Auto_TS,Apache-2.0,2020-02-15 15:23:32.000,2022-05-02 19:33:52.000000,2022-02-13 22:22:57,250,1.0,78,15.0,13.0,9.0,62.0,427,\"Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of..\",6.0,18,True,2022-01-31 11:56:13.000,0.0.64,30.0,auto-ts,,,,,,,https://pypi.org/project/auto-ts,2022-01-31 11:56:13.000,,1463.0,1463.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n775,Case Recommender,caserec/CaseRecommender,recommender-systems,,https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39.000,2021-11-25 23:19:05.000000,2021-11-25 23:08:43,204,,78,23.0,18.0,7.0,20.0,402,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems.,11.0,18,True,2021-11-25 23:19:05.000,1.1.1,42.0,caserecommender,,,,['sklearn'],10.0,10.0,https://pypi.org/project/caserecommender,2021-11-25 23:19:05.000,,340.0,340.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n776,rrcf,kLabUM/rrcf,others,,https://github.com/kLabUM/rrcf,https://github.com/kLabUM/rrcf,MIT,2018-10-20 05:39:05.000,2021-01-13 23:05:23.000000,2020-06-10 01:07:39,253,,82,20.0,52.0,22.0,17.0,373,Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams.,4.0,18,False,2020-06-10 01:53:55.000,0.4.3,7.0,rrcf,,,,,37.0,35.0,https://pypi.org/project/rrcf,2020-06-10 01:53:55.000,2.0,7347.0,7347.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n777,carefree-learn,carefree0910/carefree-learn,tabular,,https://github.com/carefree0910/carefree-learn,https://github.com/carefree0910/carefree-learn,MIT,2020-06-17 17:44:17.000,2022-05-01 10:45:33.000000,2022-05-01 10:41:16,3210,10.0,33,10.0,1.0,,80.0,361,Deep Learning PyTorch.,1.0,18,True,2022-04-29 10:38:40.000,0.2.3,21.0,carefree-learn,,,,['pytorch'],2.0,2.0,https://pypi.org/project/carefree-learn,2022-04-29 10:38:40.000,,124.0,124.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,,\n778,pykale,pykale/pykale,others,,https://github.com/pykale/pykale,https://github.com/pykale/pykale,MIT,2020-06-30 08:06:10.000,2022-05-05 14:36:35.000000,2022-04-29 12:55:22,1811,33.0,44,11.0,185.0,14.0,83.0,337,Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary..,16.0,18,True,2022-04-12 08:55:43.000,0.1.0rc5,9.0,pykale,,,,['pytorch'],,,https://pypi.org/project/pykale,2022-04-12 08:56:50.000,,120.0,120.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n779,Sherpa,sherpa-ai/sherpa,hyperopt,,https://github.com/sherpa-ai/sherpa,https://github.com/sherpa-ai/sherpa,GPL-3.0,2018-05-16 21:41:54.000,2020-10-18 07:57:50.000000,2020-10-18 07:57:48,823,,47,11.0,60.0,15.0,41.0,308,\"Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.\",43.0,18,False,2020-07-31 05:29:09.000,1.0.7,8.0,parameter-sherpa,,,,,21.0,19.0,https://pypi.org/project/parameter-sherpa,2019-11-23 21:32:27.000,2.0,336.0,336.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n780,pandas-ml,pandas-ml/pandas-ml,others,,https://github.com/pandas-ml/pandas-ml,https://github.com/pandas-ml/pandas-ml,BSD-3-Clause,2015-02-21 03:14:04.000,2020-08-14 12:29:33.000000,2019-03-05 01:36:55,153,,66,20.0,93.0,25.0,18.0,289,\"pandas, scikit-learn, xgboost and seaborn integration.\",4.0,18,False,2019-03-05 01:36:12.000,0.6.1,9.0,pandas-ml,,,,\"['sklearn', 'pandas']\",11.0,,https://pypi.org/project/pandas-ml,2019-03-05 01:35:23.000,11.0,6883.0,6883.0,,,,,,,,3.0,5.0,,,,,,,,,,,,,,,,,,,,\n781,fairness-indicators,tensorflow/fairness-indicators,interpretability,,https://github.com/tensorflow/fairness-indicators,https://github.com/tensorflow/fairness-indicators,Apache-2.0,2019-09-30 22:56:45.000,2022-05-04 22:47:17.000000,2022-04-16 00:09:33,289,8.0,67,19.0,286.0,12.0,9.0,252,Tensorflows Fairness Evaluation and Visualization Toolkit.,29.0,18,False,2022-03-07 20:10:18.000,0.38.0,24.0,fairness-indicators,,,,\"['tensorflow', 'jupyter']\",,,https://pypi.org/project/fairness-indicators,2022-03-07 20:10:18.000,,866.0,866.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n782,Muda,bmcfee/muda,audio,,https://github.com/bmcfee/muda,https://github.com/bmcfee/muda,ISC,2014-11-07 21:21:22.000,2021-12-15 16:53:25.527000,2021-05-03 14:04:36,293,,34,12.0,36.0,7.0,44.0,207,A library for augmenting annotated audio data.,7.0,18,False,2019-11-15 15:46:21.000,0.4.1,12.0,muda,,,,,15.0,14.0,https://pypi.org/project/muda,2021-12-15 16:53:25.527,1.0,177.0,177.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n783,prettymaps,marceloprates/prettymaps,geospatial-data,,https://github.com/marceloprates/prettymaps,https://github.com/marceloprates/prettymaps,AGPL-3.0,2021-03-05 12:22:05.000,2022-01-08 18:08:26.920000,2022-01-07 13:32:00,148,,355,72.0,29.0,34.0,20.0,7986,\"A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely..\",14.0,17,False,2021-10-19 13:33:43.000,0.1.3,4.0,prettymaps,conda-forge/prettymaps,,,,5.0,5.0,https://pypi.org/project/prettymaps,2021-10-19 13:33:43.000,,361.0,389.0,https://anaconda.org/conda-forge/prettymaps,2022-01-08 18:08:26.920,114.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n784,tinygrad,geohot/tinygrad,pytorch-utils,,https://github.com/geohot/tinygrad,https://github.com/geohot/tinygrad,MIT,2020-10-18 16:23:12.000,2022-05-02 17:37:18.000000,2022-04-05 17:30:50,676,5.0,596,126.0,214.0,21.0,87.0,5990,You like pytorch? You like micrograd? You love tinygrad!.,58.0,17,True,,,,,,,,['pytorch'],2.0,2.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n785,mesh-transformer-jax,kingoflolz/mesh-transformer-jax,distributed-ml,,https://github.com/kingoflolz/mesh-transformer-jax,https://github.com/kingoflolz/mesh-transformer-jax,Apache-2.0,2021-03-13 23:31:13.000,2022-04-27 04:22:32.000000,2022-01-28 07:38:03,142,,514,68.0,49.0,18.0,153.0,4088,Model parallel transformers in JAX and Haiku.,23.0,17,True,,,,,,,,['jax'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n786,Mara Pipelines,mara/mara-pipelines,data-pipelines,,https://github.com/mara/mara-pipelines,https://github.com/mara/mara-pipelines,MIT,2018-03-31 20:37:22.000,2022-05-05 14:22:09.000000,2022-04-30 18:07:06,142,1.0,88,57.0,49.0,11.0,14.0,1891,\"A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow.\",17.0,17,True,2021-01-23 22:34:03.000,3.1.2,7.0,mara-pipelines,,,,,9.0,9.0,https://pypi.org/project/mara-pipelines,2021-01-23 22:34:03.000,,240.0,240.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n787,NeuroNER,Franck-Dernoncourt/NeuroNER,nlp,,https://github.com/Franck-Dernoncourt/NeuroNER,https://github.com/Franck-Dernoncourt/NeuroNER,MIT,2017-03-07 01:24:15.000,2022-02-10 00:08:21.000000,2019-10-02 23:26:11,132,,452,84.0,31.0,82.0,67.0,1608,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,7.0,17,False,2019-10-02 23:30:15.000,1.0.8,7.0,pyneuroner,,,,,,,https://pypi.org/project/pyneuroner,2019-10-02 23:30:15.000,,95.0,95.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n788,keepsake,replicate/keepsake,ml-experiments,,https://github.com/replicate/keepsake,https://github.com/replicate/keepsake,Apache-2.0,2020-07-01 04:37:44.000,2022-05-04 23:04:39.000000,2022-03-15 20:49:26,790,2.0,62,10.0,742.0,123.0,65.0,1569,Version control for machine learning.,17.0,17,True,2021-03-11 21:15:01.000,0.4.2,7.0,keepsake,,,,,,,https://pypi.org/project/keepsake,2021-03-11 21:15:01.000,,969.0,969.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n789,Lambda Networks,lucidrains/lambda-networks,pytorch-utils,,https://github.com/lucidrains/lambda-networks,https://github.com/lucidrains/lambda-networks,MIT,2020-10-08 19:01:15.000,2020-11-18 19:54:34.000000,2020-11-18 19:54:30,31,,155,46.0,3.0,12.0,15.0,1503,\"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.\",3.0,17,False,2020-11-18 08:19:23.000,0.4.0,11.0,lambda-networks,,,,['pytorch'],6.0,6.0,https://pypi.org/project/lambda-networks,2020-11-18 08:19:23.000,,59.0,59.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n790,Advisor,tobegit3hub/advisor,hyperopt,,https://github.com/tobegit3hub/advisor,https://github.com/tobegit3hub/advisor,Apache-2.0,2017-09-14 03:50:33.000,2019-11-11 07:09:57.869705,2019-11-11 06:59:31,165,,257,51.0,13.0,20.0,13.0,1450,Open-source implementation of Google Vizier for hyper parameters tuning.,11.0,17,False,2018-10-18 02:54:09.000,0.1.6,4.0,advisor,,tobegit3hub/advisor,,,,,https://pypi.org/project/advisor,2018-10-18 02:54:09.000,,45.0,74.0,,,,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1662.0,3.0,,,,,,,,,,,,,,,,,,,,,\n791,nebullvm,nebuly-ai/nebullvm,model-serialisation,,https://github.com/nebuly-ai/nebullvm,https://github.com/nebuly-ai/nebullvm,Apache-2.0,2022-02-12 17:17:14.000,2022-05-04 14:09:48.000000,2022-05-04 14:09:48,66,66.0,50,16.0,14.0,22.0,9.0,1048,Easy-to-use library to boost AI inference leveraging multiple DL compilers.,6.0,17,True,2022-04-26 22:03:25.000,0.2.1,6.0,nebullvm,,,,,1.0,1.0,https://pypi.org/project/nebullvm,2022-04-30 16:58:31.000,,455.0,455.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,True,\n792,MedicalTorch,perone/medicaltorch,medical-data,,https://github.com/perone/medicaltorch,https://github.com/perone/medicaltorch,Apache-2.0,2018-02-27 02:50:07.000,2022-04-01 08:52:48.000000,2021-04-16 18:50:54,57,,115,49.0,20.0,14.0,9.0,773,A medical imaging framework for Pytorch.,8.0,17,False,2018-11-24 00:33:11.000,0.2,2.0,medicaltorch,,,,['pytorch'],12.0,12.0,https://pypi.org/project/medicaltorch,2018-11-24 00:29:36.000,,156.0,156.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n793,madgrad,facebookresearch/madgrad,pytorch-utils,,https://github.com/facebookresearch/madgrad,https://github.com/facebookresearch/madgrad,MIT,2021-01-12 19:41:06.000,2022-03-10 20:23:05.000000,2022-03-10 20:22:58,23,10.0,55,18.0,6.0,1.0,7.0,755,MADGRAD Optimization Method.,2.0,17,True,,,3.0,madgrad,,,,['pytorch'],25.0,25.0,https://pypi.org/project/madgrad,2022-03-08 18:23:32.000,,7846.0,7846.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n794,Tensor Sensor,parrt/tensor-sensor,pytorch-utils,,https://github.com/parrt/tensor-sensor,https://github.com/parrt/tensor-sensor,MIT,2020-08-28 22:54:04.000,2022-04-07 20:52:55.000000,2022-04-07 20:49:56,235,1.0,33,12.0,13.0,8.0,15.0,640,\"The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy,..\",4.0,17,True,2021-12-11 21:24:11.000,1.0,37.0,tensor-sensor,conda-forge/tensor-sensor,,,['pytorch'],7.0,7.0,https://pypi.org/project/tensor-sensor,2021-12-11 21:24:35.000,,6379.0,6410.0,https://anaconda.org/conda-forge/tensor-sensor,2021-12-11 23:37:02.831,223.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n795,nboost,koursaros-ai/nboost,nlp,,https://github.com/koursaros-ai/nboost,https://github.com/koursaros-ai/nboost,Apache-2.0,2019-10-29 20:56:24.000,2020-09-30 14:51:16.000000,2020-07-16 19:48:25,1336,,65,19.0,21.0,29.0,50.0,618,\"NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search..\",10.0,17,False,2020-06-12 20:05:15.000,0.3.9,26.0,nboost,,,,,3.0,3.0,https://pypi.org/project/nboost,2020-06-12 20:05:15.000,,34.0,34.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n796,Caer,jasmcaus/caer,image,,https://github.com/jasmcaus/caer,https://github.com/jasmcaus/caer,MIT,2020-08-06 18:36:14.000,2021-10-13 21:04:50.000000,2021-10-13 21:05:33,5078,,101,18.0,57.0,2.0,13.0,614,\"A lightweight Computer Vision library. Scale your models, not boilerplate.\",8.0,17,True,2021-10-13 21:04:12.000,2.0.8,119.0,caer,,,https://caer.rtfd.io,,1.0,,https://pypi.org/project/caer,2021-10-13 21:04:12.000,1.0,3668.0,3668.0,,,,,,,,3.0,19.0,,,,,,,,,,,,,,,,,,,,\n797,pytorch_tabular,manujosephv/pytorch_tabular,tabular,,https://github.com/manujosephv/pytorch_tabular,https://github.com/manujosephv/pytorch_tabular,MIT,2020-12-15 07:17:03.000,2022-04-01 07:58:53.000000,2022-03-30 07:41:15,266,2.0,61,8.0,13.0,16.0,42.0,586,A standard framework for modelling Deep Learning Models for tabular data.,9.0,17,True,2021-09-01 11:51:30.000,0.7.0,8.0,pytorch_tabular,,,,['pytorch'],1.0,,https://pypi.org/project/pytorch_tabular,2021-09-01 11:51:30.000,1.0,2313.0,2313.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n798,LOFO,aerdem4/lofo-importance,interpretability,,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46.000,2022-04-27 12:56:30.000000,2022-04-27 12:35:27,27,1.0,53,15.0,29.0,4.0,16.0,456,Leave One Feature Out Importance.,3.0,17,True,2022-04-27 12:56:30.000,0.3.2,12.0,lofo-importance,,,,,17.0,16.0,https://pypi.org/project/lofo-importance,2022-04-27 12:56:30.000,1.0,383.0,383.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n799,apricot,jmschrei/apricot,others,,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12.000,2021-11-18 21:06:56.000000,2021-11-18 21:06:54,172,,40,8.0,8.0,6.0,18.0,420,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,4.0,17,True,2020-09-28 07:19:15.000,0.6.0,13.0,apricot-select,,,,,28.0,25.0,https://pypi.org/project/apricot-select,2020-09-28 07:19:15.000,3.0,432.0,432.0,,,,,,,,3.0,10.0,,,,,,,,,,,,,,,,,,,,\n800,animatplot,t-makaro/animatplot,data-viz,,https://github.com/t-makaro/animatplot,https://github.com/t-makaro/animatplot,MIT,2017-04-03 00:54:04.000,2021-04-07 10:46:25.000000,2020-10-05 06:14:18,178,,34,10.0,29.0,17.0,17.0,389,A python package for animating plots build on matplotlib.,7.0,17,False,2020-10-05 06:20:52.000,0.4.2,10.0,animatplot,conda-forge/animatplot,,,,36.0,34.0,https://pypi.org/project/animatplot,2020-10-05 06:20:52.000,2.0,283.0,482.0,https://anaconda.org/conda-forge/animatplot,2020-10-06 02:02:00.460,7798.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n801,KD-Lib,SforAiDl/KD_Lib,others,,https://github.com/SforAiDl/KD_Lib,https://github.com/SforAiDl/KD_Lib,MIT,2020-05-10 13:08:42.000,2022-04-10 19:07:37.000000,2022-04-10 19:07:37,285,4.0,34,15.0,73.0,9.0,45.0,377,A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge..,6.0,17,True,2022-03-24 14:47:04.000,0.0.30,7.0,KD-Lib,,,,['pytorch'],,,https://pypi.org/project/KD-Lib,2022-03-24 14:47:04.000,,63.0,63.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n802,TextBox,RUCAIBox/TextBox,nlp,,https://github.com/RUCAIBox/TextBox,https://github.com/RUCAIBox/TextBox,MIT,2020-11-08 07:35:46.000,2022-04-06 09:14:20.000000,2022-04-06 09:14:20,750,26.0,63,10.0,163.0,3.0,17.0,352,TextBox is an open-source library for building text generation system.,13.0,17,True,2021-04-15 13:39:28.000,0.2.1,10.0,textbox,,,,,5.0,5.0,https://pypi.org/project/textbox,2021-04-15 09:35:06.000,,51.0,51.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n803,datmo,datmo/datmo,ml-experiments,,https://github.com/datmo/datmo,https://github.com/datmo/datmo,MIT,2017-11-03 05:46:43.000,2022-01-06 22:27:34.000000,2019-11-29 00:48:44,1051,,28,10.0,120.0,42.0,149.0,341,Open source production model management tool for data scientists.,6.0,17,False,2018-12-07 06:16:42.000,0.0.40,41.0,datmo,,,,,5.0,5.0,https://pypi.org/project/datmo,2018-12-07 06:16:42.000,,109.0,109.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n804,scikit-tda,scikit-tda/scikit-tda,sklearn-utils,,https://github.com/scikit-tda/scikit-tda,https://github.com/scikit-tda/scikit-tda,MIT,2018-04-13 21:00:31.000,2022-03-13 16:33:15.000000,2022-03-13 16:33:15,64,4.0,43,15.0,7.0,15.0,4.0,341,Topological Data Analysis for Python.,4.0,17,True,2021-08-03 00:23:20.000,1.0.0,4.0,scikit-tda,,,,['sklearn'],29.0,29.0,https://pypi.org/project/scikit-tda,2021-08-03 00:23:20.000,,935.0,935.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n805,Julius,adefossez/julius,audio,,https://github.com/adefossez/julius,https://github.com/adefossez/julius,MIT,2020-10-26 10:54:21.000,2022-01-28 09:28:20.000000,2022-01-28 09:27:02,66,,16,8.0,8.0,2.0,9.0,265,Fast PyTorch based DSP for audio and 1D signals.,2.0,17,False,2021-10-20 08:30:11.000,0.2.6,10.0,julius,,,,['pytorch'],81.0,77.0,https://pypi.org/project/julius,2021-10-20 08:30:11.000,4.0,14782.0,14782.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n806,DeepGraph,deepgraph/deepgraph,graph,,https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45.000,2022-04-19 08:20:13.909000,2021-06-14 10:58:10,162,,37,18.0,1.0,9.0,5.0,252,Analyze Data with Pandas-based Networks. Documentation:.,2.0,17,False,2020-10-01 13:20:38.000,0.2.3,13.0,deepgraph,conda-forge/deepgraph,,,['pandas'],3.0,3.0,https://pypi.org/project/deepgraph,2020-10-01 13:18:38.000,,217.0,2340.0,https://anaconda.org/conda-forge/deepgraph,2022-04-19 08:20:13.909,121049.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n807,textaugment,dsfsi/textaugment,nlp,,https://github.com/dsfsi/textaugment,https://github.com/dsfsi/textaugment,MIT,2019-05-06 12:28:19.000,2021-09-15 07:35:53.000000,2021-09-15 07:35:53,60,,42,5.0,4.0,10.0,13.0,237,TextAugment: Text Augmentation Library.,5.0,17,False,2020-11-05 15:04:26.000,1.3.4,8.0,textaugment,,,,,16.0,16.0,https://pypi.org/project/textaugment,2020-11-05 15:02:11.000,,2702.0,2703.0,,,,,,,,3.0,53.0,,,,,,,,,,,,,,,,,,,,\n808,skggm,skggm/skggm,sklearn-utils,,https://github.com/skggm/skggm,https://github.com/skggm/skggm,MIT,2016-06-11 18:35:56.000,2022-03-11 01:14:19.000000,2022-03-11 01:14:19,702,1.0,35,10.0,58.0,28.0,47.0,204,Scikit-learn compatible estimation of general graphical models.,6.0,17,False,2018-09-12 01:12:49.000,0.2.8,6.0,skggm,,,,['sklearn'],10.0,8.0,https://pypi.org/project/skggm,2018-09-12 01:12:49.000,2.0,43.0,43.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n809,chitra,gradsflow/chitra,ml-experiments,,https://github.com/gradsflow/chitra,https://github.com/gradsflow/chitra,Apache-2.0,2020-01-23 14:17:54.000,2022-04-23 04:30:31.000000,2022-04-23 04:30:31,366,3.0,35,5.0,130.0,5.0,34.0,190,\"A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model..\",14.0,17,False,2021-11-26 17:10:22.000,0.2.0,38.0,chitra,conda-forge/chitra,,,,,,https://pypi.org/project/chitra,2022-01-09 08:49:42.000,,516.0,571.0,https://anaconda.org/conda-forge/chitra,2022-01-24 02:31:36.059,222.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n810,pyRDF2Vec,IBCNServices/pyRDF2Vec,graph,,https://github.com/IBCNServices/pyRDF2Vec,https://github.com/IBCNServices/pyRDF2Vec,MIT,2019-06-13 11:36:12.000,2022-05-04 11:57:49.000000,2022-04-30 08:45:12,1167,15.0,29,13.0,21.0,4.0,51.0,146,Python Implementation and Extension of RDF2Vec.,6.0,17,False,2021-06-09 10:56:14.000,0.2.3,11.0,pyrdf2vec,,,,,,,https://pypi.org/project/pyrdf2vec,2021-06-09 10:56:14.000,,147.0,147.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n811,OpenNRE,thunlp/OpenNRE,nlp,,https://github.com/thunlp/OpenNRE,https://github.com/thunlp/OpenNRE,MIT,2017-02-26 07:37:12.000,2022-04-06 12:13:02.000000,2022-04-06 12:13:01,162,1.0,934,120.0,20.0,21.0,330.0,3625,An Open-Source Package for Neural Relation Extraction (NRE).,10.0,16,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n812,GraphEmbedding,shenweichen/GraphEmbedding,graph,,https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20.000,2022-03-18 09:26:37.000000,2020-10-18 09:32:47,28,,821,55.0,10.0,40.0,14.0,2744,Implementation and experiments of graph embedding algorithms.,8.0,16,False,,,,,,,,['sklearn'],17.0,17.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n813,micrograd,karpathy/micrograd,pytorch-utils,,https://github.com/karpathy/micrograd,https://github.com/karpathy/micrograd,MIT,2020-04-13 04:31:18.000,2021-06-24 12:28:13.000000,2020-04-18 19:15:25,24,,159,50.0,8.0,2.0,3.0,2047,A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.,2.0,16,False,2020-04-18 19:06:59.000,0.1.0,1.0,micrograd,,,,['pytorch'],8.0,7.0,https://pypi.org/project/micrograd,2020-04-18 19:06:59.000,1.0,548.0,548.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n814,automl-gs,minimaxir/automl-gs,hyperopt,,https://github.com/minimaxir/automl-gs,https://github.com/minimaxir/automl-gs,MIT,2019-01-13 18:57:44.000,2019-10-22 11:20:40.000000,2019-04-05 06:48:14,102,,164,58.0,10.0,26.0,6.0,1786,\"Provide an input CSV and a target field to predict, generate a model + code to run it.\",7.0,16,False,2019-04-05 06:51:04.000,0.2.1,2.0,automl_gs,,,,,,,https://pypi.org/project/automl_gs,2019-04-05 06:47:54.000,,28.0,28.0,,,,,,,,3.0,28.0,,,,,,,,,,,,,,,,,,,,\n815,Xcessiv,reiinakano/xcessiv,hyperopt,,https://github.com/reiinakano/xcessiv,https://github.com/reiinakano/xcessiv,Apache-2.0,2017-03-07 18:18:25.000,2018-06-06 22:23:37.000000,2017-08-21 00:51:15,316,,109,54.0,34.0,22.0,13.0,1261,\"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.\",6.0,16,False,2017-08-21 00:53:25.000,0.5.1,34.0,xcessiv,,,,,2.0,1.0,https://pypi.org/project/xcessiv,2017-08-21 00:49:41.000,1.0,46.0,46.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n816,GraphGym,snap-stanford/GraphGym,graph,,https://github.com/snap-stanford/GraphGym,https://github.com/snap-stanford/GraphGym,MIT,2020-10-14 05:01:35.000,2022-03-25 19:14:18.000000,2022-03-25 19:14:18,70,7.0,114,20.0,13.0,4.0,22.0,1007,Platform for designing and evaluating Graph Neural Networks (GNN).,5.0,16,True,2022-03-24 23:28:17.000,0.4.0,3.0,graphgym,,,,,2.0,2.0,https://pypi.org/project/graphgym,2022-03-24 23:19:13.000,,39.0,40.0,,,,,,,,3.0,13.0,,,,,,,,,,,,,,,,,,,,\n817,XAI,EthicalML/xai,interpretability,,https://github.com/EthicalML/xai,https://github.com/EthicalML/xai,MIT,2019-01-11 20:00:09.000,2021-10-30 06:35:19.000000,2021-10-30 06:30:12,91,,121,43.0,5.0,2.0,7.0,813,XAI - An eXplainability toolbox for machine learning.,3.0,16,True,2021-10-30 06:35:19.000,0.1.0,6.0,xai,,,,,21.0,15.0,https://pypi.org/project/xai,2021-10-30 06:33:26.000,6.0,114.0,114.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n818,HyperparameterHunter,HunterMcGushion/hyperparameter_hunter,hyperopt,,https://github.com/HunterMcGushion/hyperparameter_hunter,https://github.com/HunterMcGushion/hyperparameter_hunter,MIT,2018-06-01 23:17:00.000,2021-01-20 03:52:41.000000,2021-01-20 03:52:40,1096,,88,25.0,101.0,37.0,84.0,689,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries.,4.0,16,False,2019-08-06 09:09:45.000,3.0.0,16.0,hyperparameter-hunter,,,,,2.0,,https://pypi.org/project/hyperparameter-hunter,2019-08-06 08:52:20.000,2.0,49.0,56.0,,,,,,,,3.0,331.0,,,,,,,,,,,,,,,,,,,,\n819,FlashTorch,MisaOgura/flashtorch,interpretability,,https://github.com/MisaOgura/flashtorch,https://github.com/MisaOgura/flashtorch,MIT,2019-03-22 13:00:57.000,2021-06-30 12:46:02.000000,2021-04-27 11:10:20,127,,82,19.0,14.0,10.0,22.0,664,Visualization toolkit for neural networks in PyTorch! Demo --.,2.0,16,False,2020-05-29 14:39:38.000,0.1.3,12.0,flashtorch,,,,['pytorch'],10.0,10.0,https://pypi.org/project/flashtorch,2020-05-29 14:38:32.000,,229.0,229.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n820,ThunderGBM,Xtra-Computing/thundergbm,ml-frameworks,,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08.000,2021-11-23 01:55:15.000000,2021-01-05 04:22:15,606,,82,25.0,4.0,36.0,37.0,621,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,10.0,16,False,2020-05-01 23:16:25.000,0.3.16,24.0,thundergbm,,,,,,,https://pypi.org/project/thundergbm,2020-05-01 23:16:25.000,,75.0,75.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n821,textflint,textflint/textflint,adversarial,,https://github.com/textflint/textflint,https://github.com/textflint/textflint,GPL-3.0,2021-03-06 11:15:52.000,2022-03-15 12:38:43.000000,2022-03-15 12:38:01,256,9.0,88,18.0,18.0,3.0,26.0,552,Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing.,18.0,16,False,2022-03-15 07:18:47.000,0.1.0,6.0,textflint,,,,,2.0,2.0,https://pypi.org/project/textflint,2022-03-15 07:18:47.000,,69.0,69.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n822,kglib,vaticle/kglib,graph,,https://github.com/vaticle/kglib,https://github.com/vaticle/kglib,Apache-2.0,2018-09-16 16:46:48.000,2021-10-22 14:09:11.000000,2021-10-22 14:09:00,488,,89,35.0,98.0,12.0,50.0,501,Grakn Knowledge Graph Library (ML R&D).,7.0,16,True,2020-08-19 15:39:10.000,0.2.2,7.0,grakn-kglib,,,,,,,https://pypi.org/project/grakn-kglib,2020-08-19 15:39:10.000,,51.0,56.0,,,,,,,,3.0,211.0,,,,,,,,,,,,,,,,,,,,\n823,parallelformers,tunib-ai/parallelformers,distributed-ml,,https://github.com/tunib-ai/parallelformers,https://github.com/tunib-ai/parallelformers,Apache-2.0,2021-07-17 12:50:43.000,2022-03-02 08:03:39.000000,2022-03-02 08:03:39,82,2.0,28,10.0,7.0,7.0,11.0,459,Parallelformers: An Efficient Model Parallelization Toolkit for Deployment.,4.0,16,True,2021-12-29 21:48:48.000,1.2.4,16.0,parallelformers,,,,,6.0,6.0,https://pypi.org/project/parallelformers,2021-12-29 21:47:16.000,,199.0,199.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n824,Sematch,gsi-upm/sematch,graph,,https://github.com/gsi-upm/sematch,https://github.com/gsi-upm/sematch,Apache-2.0,2012-11-30 11:11:53.000,2020-11-05 21:20:52.000000,2019-03-27 03:17:24,122,,103,71.0,5.0,14.0,19.0,382,semantic similarity framework for knowledge graph.,5.0,16,False,2017-04-17 10:56:52.000,1.0.4,5.0,sematch,,,,,35.0,32.0,https://pypi.org/project/sematch,2017-04-17 10:56:52.000,3.0,138.0,138.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n825,tfdeploy,riga/tfdeploy,model-serialisation,,https://github.com/riga/tfdeploy,https://github.com/riga/tfdeploy,BSD-3-Clause,2016-03-07 13:08:21.000,2021-01-08 09:52:54.000000,2021-01-08 09:52:49,170,,38,23.0,5.0,11.0,23.0,347,Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.,4.0,16,False,2017-03-30 10:51:26.000,0.4.2,22.0,tfdeploy,,,,['tensorflow'],2.0,,https://pypi.org/project/tfdeploy,2017-03-30 10:51:26.000,2.0,35.0,35.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n826,Camphr,PKSHATechnology-Research/camphr,nlp,,https://github.com/PKSHATechnology-Research/camphr,https://github.com/PKSHATechnology-Research/camphr,Apache-2.0,2020-02-10 03:39:58.000,2021-08-18 06:06:52.000000,2021-08-18 06:06:51,1404,,17,5.0,215.0,2.0,26.0,343,Camphr - NLP libary for creating pipeline components.,7.0,16,True,2021-07-28 07:48:46.000,0.10.0,48.0,camphr,,,,['spacy'],2.0,,https://pypi.org/project/camphr,2021-07-28 07:48:46.000,2.0,380.0,380.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n827,pdvega,altair-viz/pdvega,data-viz,,https://github.com/altair-viz/pdvega,https://github.com/altair-viz/pdvega,MIT,2018-01-11 21:30:27.000,2019-03-29 16:09:14.000000,2019-03-29 16:09:13,177,,31,22.0,21.0,16.0,10.0,340,Interactive plotting for Pandas using Vega-Lite.,9.0,16,False,,,1.0,pdvega,,,,,72.0,65.0,https://pypi.org/project/pdvega,2018-02-01 04:56:43.000,7.0,31.0,31.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n828,data-describe,data-describe/data-describe,data-viz,,https://github.com/data-describe/data-describe,https://github.com/data-describe/data-describe,Apache-2.0,2020-05-04 17:58:14.000,2022-04-12 09:34:18.000000,2021-11-19 06:05:15,700,,17,14.0,247.0,70.0,175.0,293,datadescribe: Pythonic EDA Accelerator for Data Science.,14.0,16,False,,,5.0,data-describe,,,,,,,https://pypi.org/project/data-describe,2020-12-03 23:07:43.000,,453.0,453.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n829,solt,MIPT-Oulu/solt,image,,https://github.com/Oulu-IMEDS/solt,https://github.com/Oulu-IMEDS/solt,MIT,2018-08-02 15:09:05.000,2021-10-12 22:58:52.000000,2020-04-09 06:44:39,336,,19,7.0,30.0,18.0,30.0,254,Streaming over lightweight data transformations.,4.0,16,False,2020-03-10 14:09:31.000,0.1.9,18.0,solt,,,,,32.0,29.0,https://pypi.org/project/solt,2020-03-10 14:09:31.000,3.0,77.0,77.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,Oulu-IMEDS/solt\n830,skift,shaypal5/skift,nlp,,https://github.com/shaypal5/skift,https://github.com/shaypal5/skift,MIT,2018-02-03 11:37:21.000,2022-02-14 13:45:27.000000,2022-02-14 13:45:24,139,2.0,24,10.0,8.0,1.0,10.0,229,scikit-learn wrappers for Python fastText.,9.0,16,False,2022-02-14 13:45:54.000,0.0.23,18.0,skift,,,,['sklearn'],12.0,12.0,https://pypi.org/project/skift,2022-02-14 13:44:18.000,,551.0,551.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n831,Parfit,jmcarpenter2/parfit,hyperopt,,https://github.com/jmcarpenter2/parfit,https://github.com/jmcarpenter2/parfit,MIT,2017-11-22 20:17:51.000,2020-04-04 19:26:44.000000,2020-04-04 19:26:37,127,,25,4.0,4.0,6.0,5.0,200,\"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..\",2.0,16,False,,,23.0,parfit,,,,['sklearn'],12.0,12.0,https://pypi.org/project/parfit,2018-10-11 22:03:16.000,,24446.0,24446.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n832,nx-altair,Zsailer/nx_altair,data-viz,,https://github.com/Zsailer/nx_altair,https://github.com/Zsailer/nx_altair,MIT,2018-05-13 00:10:12.000,2022-01-08 12:10:11.000000,2020-06-02 21:10:26,51,,22,11.0,14.0,6.0,4.0,191,Draw interactive NetworkX graphs with Altair.,3.0,16,False,2020-06-02 21:11:12.000,0.1.6,8.0,nx-altair,,,,['jupyter'],3.0,,https://pypi.org/project/nx-altair,2020-06-02 21:11:12.000,3.0,2104.0,2104.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n833,flupy,olirice/flupy,data-pipelines,,https://github.com/olirice/flupy,https://github.com/olirice/flupy,MIT,2018-01-06 16:46:04.000,2022-02-18 14:51:19.000000,2022-02-17 15:29:05,197,2.0,12,7.0,16.0,3.0,9.0,171,Fluent data pipelines for python and your shell.,6.0,16,False,2021-10-15 12:35:59.000,1.1.9,37.0,flupy,,,,,1.0,,https://pypi.org/project/flupy,2021-10-15 12:35:59.000,1.0,60128.0,60128.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n834,dabl,amueller/dabl,sklearn-utils,,https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49.000,2022-04-15 22:06:06.000000,2021-07-09 18:47:52,275,,9,4.0,3.0,1.0,,113,Data Analysis Baseline Library.,21.0,16,False,2021-07-09 19:20:43.000,0.2.2,12.0,dabl,,,,['sklearn'],,,https://pypi.org/project/dabl,2021-07-09 19:20:43.000,,4444.0,4444.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n835,Collie,ShopRunner/collie,recommender-systems,,https://github.com/ShopRunner/collie,https://github.com/ShopRunner/collie,BSD-3-Clause,2021-04-12 20:54:06.000,2022-01-27 17:01:20.000000,2022-01-27 17:01:19,162,,17,23.0,31.0,8.0,4.0,88,\"A library for preparing, training, and evaluating scalable deep learning hybrid recommender systems using PyTorch.\",12.0,16,False,2022-01-18 23:07:16.000,1.2.0,6.0,collie,,,,['pytorch'],10.0,10.0,https://pypi.org/project/collie,2022-01-18 23:07:16.000,,56.0,56.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n836,upgini,upgini/upgini,tabular,,https://github.com/upgini/upgini,https://github.com/upgini/upgini,BSD-3-Clause,2021-12-08 21:53:58.000,2022-05-04 13:36:43.000000,2022-05-03 10:29:42,156,85.0,3,1.0,64.0,,,23,Features search library for supervised machine learning searches through thousands of ready-to-use features from..,8.0,16,False,2021-12-03 01:26:10.000,0.9.0,108.0,upgini,,,,,,,https://pypi.org/project/upgini,2022-05-03 10:29:33.000,,1869.0,1869.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n837,StarSpace,facebookresearch/StarSpace,ml-frameworks,,https://github.com/facebookresearch/StarSpace,https://github.com/facebookresearch/StarSpace,MIT,2017-06-28 17:50:18.000,2021-11-03 16:23:46.000000,2019-12-13 19:03:25,138,,509,181.0,109.0,50.0,148.0,3751,\"Learning embeddings for classification, retrieval and ranking.\",17.0,15,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n838,OpenKE,thunlp/OpenKE,graph,,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,MIT,2017-10-08 11:20:23.000,2021-09-29 09:46:39.000000,2021-04-06 08:24:50,113,,870,97.0,25.0,68.0,338.0,3022,An Open-Source Package for Knowledge Embedding (KE).,10.0,15,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n839,Euler,alibaba/euler,graph,,https://github.com/alibaba/euler,https://github.com/alibaba/euler,Apache-2.0,2019-01-10 06:32:32.000,2021-12-30 02:31:11.000000,2020-07-29 05:53:01,8,,550,138.0,25.0,214.0,102.0,2756,A distributed graph deep learning framework.,5.0,15,False,2020-07-07 02:24:18.000,2.0.0,2.0,euler-gl,,,,['tensorflow'],,,https://pypi.org/project/euler-gl,2019-04-10 01:53:45.000,,11.0,11.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n840,GraphSAGE,williamleif/GraphSAGE,graph,,https://github.com/williamleif/GraphSAGE,https://github.com/williamleif/GraphSAGE,MIT,2017-05-29 15:36:22.000,2022-03-16 15:14:25.000000,2018-09-19 19:27:00,59,,751,76.0,28.0,96.0,59.0,2707,Representation learning on large graphs using stochastic graph convolutions.,9.0,15,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n841,ZhuSuan,thu-ml/zhusuan,probabilistics,,https://github.com/thu-ml/zhusuan,https://github.com/thu-ml/zhusuan,MIT,2016-07-18 13:31:38.000,2020-01-09 14:51:27.000000,2019-08-05 10:00:04,439,,406,144.0,70.0,8.0,53.0,2120,\"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.\",20.0,15,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n842,OpenNE,thunlp/OpenNE,graph,,https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20.000,2022-04-19 09:48:55.000000,2019-08-12 10:56:27,98,,478,66.0,24.0,3.0,96.0,1565,An Open-Source Package for Network Embedding (NE).,10.0,15,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n843,Botflow,kkyon/botflow,data-pipelines,,https://github.com/kkyon/botflow,https://github.com/kkyon/botflow,BSD-3-Clause,2018-08-20 03:13:31.000,2020-12-31 09:03:22.000000,2019-05-23 14:40:50,192,,102,55.0,28.0,3.0,2.0,1186,\"Python Fast Dataflow programming framework for Data pipeline work( Web Crawler,Machine Learning,Quantitative..\",11.0,15,False,2018-09-14 14:38:32.000,0.2.0,5.0,botflow,,,,,1.0,1.0,https://pypi.org/project/botflow,2018-09-14 14:38:32.000,,48.0,48.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n844,BLINK,facebookresearch/BLINK,nlp,,https://github.com/facebookresearch/BLINK,https://github.com/facebookresearch/BLINK,MIT,2019-09-25 21:27:44.000,2022-03-01 19:09:39.000000,2021-04-02 03:03:34,211,,160,37.0,33.0,50.0,33.0,863,Entity Linker solution.,16.0,15,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n845,Translate,pytorch/translate,nlp,,https://github.com/pytorch/translate,https://github.com/pytorch/translate,BSD-3-Clause,2018-04-24 16:44:04.000,2021-10-06 18:21:48.000000,2021-10-06 18:21:42,810,,174,44.0,667.0,66.0,27.0,732,Translate - a PyTorch Language Library.,87.0,15,True,,,1.0,pytorch-translate,,,,['pytorch'],,,https://pypi.org/project/pytorch-translate,2018-05-01 19:59:40.000,,7.0,7.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n846,Anchor,marcotcr/anchor,interpretability,,https://github.com/marcotcr/anchor,https://github.com/marcotcr/anchor,BSD-2-Clause,2018-02-02 23:38:50.000,2021-11-17 21:38:50.000000,2021-11-17 21:38:50,45,,96,24.0,10.0,19.0,51.0,699,Code for High-Precision Model-Agnostic Explanations paper.,10.0,15,True,,,8.0,anchor_exp,,,,,,,https://pypi.org/project/anchor_exp,2020-06-26 20:56:50.000,,916.0,916.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n847,SpeedTorch,Santosh-Gupta/SpeedTorch,gpu-utilities,,https://github.com/Santosh-Gupta/SpeedTorch,https://github.com/Santosh-Gupta/SpeedTorch,MIT,2019-09-07 18:57:52.000,2020-02-21 23:13:29.000000,2020-02-21 23:13:28,170,,41,25.0,4.0,4.0,2.0,652,Library for faster pinned CPU - GPU transfer in Pytorch.,3.0,15,False,2020-01-06 05:27:17.000,0.1.6,14.0,SpeedTorch,,,,['pytorch'],5.0,3.0,https://pypi.org/project/SpeedTorch,2020-01-06 05:27:17.000,2.0,46.0,46.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n848,atspy,firmai/atspy,time-series-data,,https://github.com/firmai/atspy,https://github.com/firmai/atspy,MIT,2020-01-28 05:00:10.000,2022-02-10 01:20:22.000000,2021-12-18 09:26:18,99,,84,22.0,14.0,18.0,2.0,435,AtsPy: Automated Time Series Models in Python (by @firmai).,5.0,15,True,2020-11-12 16:10:48.000,zen,39.0,atspy,,,,,5.0,5.0,https://pypi.org/project/atspy,2020-04-24 18:16:15.000,,1731.0,1731.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n849,VizSeq,facebookresearch/vizseq,nlp,,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38.000,2022-04-29 03:44:40.000000,2022-04-29 03:44:38,63,6.0,47,16.0,49.0,7.0,9.0,394,\"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).\",3.0,15,True,2020-08-07 01:13:52.000,0.1.15,16.0,vizseq,,,,,5.0,5.0,https://pypi.org/project/vizseq,2020-08-07 01:13:52.000,,55.0,55.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n850,OpenRec,ylongqi/openrec,recommender-systems,,https://github.com/ylongqi/openrec,https://github.com/ylongqi/openrec,Apache-2.0,2017-11-29 16:04:40.000,2022-02-09 23:36:33.000000,2020-02-19 07:57:17,213,,84,37.0,43.0,5.0,12.0,391,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms.,11.0,15,False,2020-02-18 06:52:11.000,0.3.0,12.0,openrec,,,,,2.0,1.0,https://pypi.org/project/openrec,2020-02-18 06:52:11.000,1.0,34.0,34.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n851,Pywick,achaiah/pywick,pytorch-utils,,https://github.com/achaiah/pywick,https://github.com/achaiah/pywick,MIT,2019-03-25 15:42:47.000,2022-02-04 15:57:11.000000,2021-10-22 03:09:17,149,,38,15.0,39.0,2.0,12.0,372,High-level batteries-included neural network training library for Pytorch.,4.0,15,True,2021-10-22 03:19:11.000,0.6.5,8.0,pywick,,,,['pytorch'],6.0,6.0,https://pypi.org/project/pywick,2021-10-22 03:19:11.000,,27.0,27.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n852,interpret-text,interpretml/interpret-text,interpretability,,https://github.com/interpretml/interpret-text,https://github.com/interpretml/interpret-text,MIT,2019-09-04 16:39:48.000,2022-04-29 08:56:17.000000,2021-12-06 17:38:41,146,,57,19.0,151.0,58.0,16.0,314,A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the..,17.0,15,True,2021-12-07 15:12:02.000,0.1.3,5.0,interpret-text,,,,['jupyter'],,,https://pypi.org/project/interpret-text,2021-12-07 01:57:31.000,,85.0,85.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n853,ExplainX.ai,explainX/explainx,interpretability,,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15.000,2022-01-07 00:02:17.000000,2021-02-02 09:03:57,184,,42,8.0,12.0,10.0,17.0,306,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,4.0,15,False,2021-02-07 11:06:21.000,2.407,56.0,explainx,,,,,,,https://pypi.org/project/explainx,2021-02-04 16:44:24.000,,2478.0,2478.0,,,,,,,,3.0,4.0,,,,,,,,,,,,,,,,,,,,\n854,NeuralCompression,facebookresearch/NeuralCompression,others,,https://github.com/facebookresearch/NeuralCompression,https://github.com/facebookresearch/NeuralCompression,MIT,2021-07-09 15:14:13.000,2022-04-05 16:38:51.000000,2022-04-05 16:38:48,93,3.0,19,13.0,121.0,18.0,44.0,250,A collection of tools for neural compression enthusiasts.,3.0,15,False,2022-01-12 14:55:21.000,0.2.1,3.0,neuralcompression,,,,,,,https://pypi.org/project/neuralcompression,2022-01-12 14:55:21.000,,35.0,35.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n855,NeuralQA,victordibia/neuralqa,nlp,,https://github.com/victordibia/neuralqa,https://github.com/victordibia/neuralqa,MIT,2020-05-19 03:55:56.000,2022-04-29 14:47:50.000000,2020-12-16 17:41:37,312,,31,5.0,61.0,31.0,8.0,217,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,3.0,15,False,,,27.0,neuralqa,,,,,4.0,4.0,https://pypi.org/project/neuralqa,2020-09-18 17:54:50.000,,55.0,55.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n856,steppy,minerva-ml/steppy,ml-experiments,,https://github.com/minerva-ml/steppy,https://github.com/minerva-ml/steppy,MIT,2018-01-15 09:40:49.000,2018-11-23 09:49:59.000000,2018-11-23 09:47:34,69,,33,14.0,54.0,16.0,50.0,132,\"Lightweight, Python library for fast and reproducible experimentation.\",5.0,15,False,2018-11-23 09:49:59.000,0.1.16,16.0,steppy,,,,,49.0,44.0,https://pypi.org/project/steppy,2018-11-23 09:49:59.000,5.0,18.0,18.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n857,spacy-dbpedia-spotlight,MartinoMensio/spacy-dbpedia-spotlight,nlp,,https://github.com/MartinoMensio/spacy-dbpedia-spotlight,https://github.com/MartinoMensio/spacy-dbpedia-spotlight,MIT,2020-04-29 19:35:04.000,2022-04-26 09:05:08.000000,2022-04-26 09:05:04,25,10.0,8,6.0,3.0,5.0,7.0,58,A spaCy wrapper for DBpedia Spotlight.,4.0,15,False,2022-04-26 09:04:25.000,0.2.2,7.0,spacy-dbpedia-spotlight,,,,['spacy'],,,https://pypi.org/project/spacy-dbpedia-spotlight,2022-04-26 09:04:25.000,,344.0,344.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n858,Medical Detection Toolkit,MIC-DKFZ/medicaldetectiontoolkit,medical-data,,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,Apache-2.0,2018-10-12 12:34:57.000,2022-04-04 08:30:04.000000,2022-04-04 08:29:54,41,1.0,281,51.0,14.0,40.0,85.0,1126,\"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..\",3.0,14,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n859,caliban,google/caliban,ml-experiments,,https://github.com/google/caliban,https://github.com/google/caliban,Apache-2.0,2020-06-02 18:12:50.000,2022-02-26 01:11:41.000000,2020-09-25 16:15:35,254,,47,19.0,80.0,15.0,12.0,420,\"Research workflows made easy, locally and in the Cloud.\",9.0,14,False,2020-09-12 19:41:23.000,0.4.1,10.0,caliban,,,,,,,https://pypi.org/project/caliban,2020-09-12 19:41:23.000,,76.0,76.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n860,Adversary,airbnb/artificial-adversary,adversarial,,https://github.com/airbnb/artificial-adversary,https://github.com/airbnb/artificial-adversary,MIT,2018-08-08 04:42:11.000,2022-01-07 11:24:14.000000,2018-08-29 15:31:30,15,,51,21.0,6.0,6.0,,363,Tool to generate adversarial text examples and test machine learning models against them.,5.0,14,False,2018-08-29 15:14:41.000,1.1.1,3.0,Adversary,conda-forge/artificial-adversary,,,,8.0,7.0,https://pypi.org/project/Adversary,2018-08-29 15:14:41.000,1.0,26.0,145.0,https://anaconda.org/conda-forge/artificial-adversary,2021-04-30 19:05:10.636,2632.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n861,tsaug,arundo/tsaug,time-series-data,,https://github.com/arundo/tsaug,https://github.com/arundo/tsaug,Apache-2.0,2019-09-27 00:38:05.000,2020-04-17 02:55:58.000000,2020-04-17 02:46:38,10,,30,10.0,7.0,7.0,3.0,240,A Python package for time series augmentation.,4.0,14,False,2020-04-17 02:50:25.000,0.2.1,4.0,tsaug,,,,,,,https://pypi.org/project/tsaug,2020-04-17 02:50:25.000,,2171.0,2171.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n862,Headliner,as-ideas/headliner,nlp,,https://github.com/as-ideas/headliner,https://github.com/as-ideas/headliner,MIT,2019-09-30 11:33:28.000,2021-03-26 07:19:57.000000,2020-02-14 09:03:27,276,,41,16.0,7.0,1.0,13.0,231,Easy training and deployment of seq2seq models.,2.0,14,False,2020-01-24 09:06:29.000,1.0.2,30.0,headliner,,,,,4.0,3.0,https://pypi.org/project/headliner,2020-01-24 09:06:29.000,1.0,24.0,24.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n863,backprop,backprop-ai/backprop,model-serialisation,,https://github.com/backprop-ai/backprop,https://github.com/backprop-ai/backprop,Apache-2.0,2020-10-30 15:25:14.000,2021-05-03 09:15:25.000000,2021-05-03 09:15:21,219,,12,16.0,14.0,4.0,4.0,226,\"Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.\",8.0,14,False,2021-04-20 13:53:12.000,0.1.2,14.0,backprop,,,,,,,https://pypi.org/project/backprop,2021-04-20 13:53:12.000,,181.0,181.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n864,textvec,textvec/textvec,nlp,,https://github.com/textvec/textvec,https://github.com/textvec/textvec,MIT,2018-04-12 14:03:53.000,2020-12-03 14:23:11.000000,2020-12-03 14:23:04,70,,22,8.0,14.0,3.0,6.0,185,Text vectorization tool to outperform TFIDF for classification tasks.,9.0,14,False,2019-09-12 07:41:04.000,2.0,4.0,textvec,,,,['sklearn'],4.0,4.0,https://pypi.org/project/textvec,2020-12-03 14:17:09.000,,182.0,182.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n865,HugsVision,qanastek/HugsVision,image,,https://github.com/qanastek/HugsVision,https://github.com/qanastek/HugsVision,MIT,2021-08-12 21:46:08.000,2021-12-25 03:44:41.000000,2021-12-25 03:44:33,70,,13,3.0,1.0,14.0,20.0,160,HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision.,2.0,14,False,2021-12-19 22:13:56.000,0.75.2,76.0,hugsvision,,,,['huggingface'],3.0,3.0,https://pypi.org/project/hugsvision,2021-12-19 22:27:31.000,,210.0,210.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n866,ipyexperiments,stas00/ipyexperiments,gpu-utilities,,https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40.000,2021-12-07 18:50:39.000000,2021-12-07 18:50:38,203,,11,6.0,2.0,1.0,5.0,148,jupyter/ipython experiment containers for GPU and general RAM re-use.,3.0,14,False,2021-12-07 18:44:34.000,0.1.28,24.0,ipyexperiments,,,,['jupyter'],7.0,5.0,https://pypi.org/project/ipyexperiments,2021-12-07 18:44:34.000,2.0,45.0,45.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n867,numerizer,jaidevd/numerizer,nlp,,https://github.com/jaidevd/numerizer,https://github.com/jaidevd/numerizer,MIT,2019-12-02 07:00:34.000,2022-01-07 06:54:29.000000,2022-01-07 06:54:29,18,,14,5.0,7.0,2.0,4.0,142,A Python module to convert natural language numerics into ints and floats.,3.0,14,False,2021-04-03 04:33:45.000,0.2.0,8.0,numerizer,,,,,19.0,19.0,https://pypi.org/project/numerizer,2021-04-03 04:33:45.000,,3042.0,3042.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n868,contextual-ai,SAP/contextual-ai,interpretability,,https://github.com/SAP/contextual-ai,https://github.com/SAP/contextual-ai,Apache-2.0,2020-05-12 07:15:56.000,2022-04-22 22:11:08.000000,2021-11-11 10:53:33,630,,10,11.0,21.0,4.0,11.0,80,\"Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference -..\",12.0,14,False,2021-01-25 04:56:57.000,0.0.2,2.0,contextual-ai,,,,,,,https://pypi.org/project/contextual-ai,2021-01-25 04:56:57.000,,212.0,212.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n869,Torch Points 3D,nicolas-chaulet/torch-points3d,image,,https://github.com/nicolas-chaulet/torch-points3d,https://github.com/nicolas-chaulet/torch-points3d,BSD-3-Clause,2022-01-09 14:41:37.000,2021-12-10 20:17:18.000000,2021-12-10 20:17:18,1788,,10,,,,,51,Pytorch framework for doing deep learning on point clouds.,29.0,14,False,2021-04-30 09:00:22.000,1.3.0,14.0,torch-points3d,,,,['pytorch'],,,https://pypi.org/project/torch-points3d,2021-04-30 09:00:22.000,,900.0,900.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n870,LazyCluster,ml-tooling/lazycluster,distributed-ml,,https://github.com/ml-tooling/lazycluster,https://github.com/ml-tooling/lazycluster,Apache-2.0,2019-08-07 08:05:13.000,2022-03-29 22:07:14.000000,2021-08-19 13:59:11,444,,9,5.0,14.0,,,43,Distributed machine learning made simple.,2.0,14,False,2020-12-14 15:25:59.000,0.2.4,5.0,lazycluster,,,,,12.0,12.0,https://pypi.org/project/lazycluster,2020-12-14 14:49:33.000,,35.0,35.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n871,nptsne,biovault/nptsne,data-viz,,https://github.com/biovault/nptsne,https://github.com/biovault/nptsne,Apache-2.0,2019-06-28 08:40:25.000,2022-03-16 13:45:37.000000,2021-02-03 08:52:27,857,,2,3.0,1.0,7.0,6.0,28,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,3.0,14,False,2021-12-23 15:53:08.000,1.2.0,3.0,nptsne,,,,,4.0,4.0,https://pypi.org/project/nptsne,2021-12-23 15:53:08.000,,91.0,91.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n872,ENAS,carpedm20/ENAS-pytorch,hyperopt,,https://github.com/carpedm20/ENAS-pytorch,https://github.com/carpedm20/ENAS-pytorch,Apache-2.0,2018-02-15 04:54:37.000,2020-12-09 18:13:03.000000,2020-06-16 07:23:32,53,,468,113.0,11.0,37.0,7.0,2545,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,6.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n873,traingenerator,jrieke/traingenerator,others,,https://github.com/jrieke/traingenerator,https://github.com/jrieke/traingenerator,MIT,2020-12-03 16:47:16.000,2021-06-28 17:42:41.000000,2021-04-29 13:46:13,117,,164,38.0,9.0,13.0,3.0,1168,A web app to generate template code for machine learning.,3.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n874,ptgnn,microsoft/ptgnn,graph,,https://github.com/microsoft/ptgnn,https://github.com/microsoft/ptgnn,MIT,2020-05-12 08:42:30.000,2022-02-01 17:31:29.000000,2022-02-01 17:31:29,99,,38,11.0,17.0,2.0,5.0,323,A PyTorch Graph Neural Network Library.,7.0,13,True,2021-10-21 21:43:04.000,0.10.4,18.0,ptgnn,,,,['pytorch'],1.0,1.0,https://pypi.org/project/ptgnn,2021-10-21 21:43:04.000,,80.0,80.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n875,TransferNLP,feedly/transfer-nlp,nlp,,https://github.com/feedly/transfer-nlp,https://github.com/feedly/transfer-nlp,MIT,2019-03-12 20:00:31.000,2020-05-28 19:00:02.000000,2020-05-28 17:31:53,465,,18,13.0,57.0,4.0,20.0,288,NLP library designed for reproducible experimentation management.,7.0,13,False,2020-05-28 19:00:02.000,0.1.6,8.0,transfer-nlp,,,,['pytorch'],,,https://pypi.org/project/transfer-nlp,2020-05-28 19:00:02.000,,136.0,136.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n876,Maze,enlite-ai/maze,reinforcement-learning,,https://github.com/enlite-ai/maze,https://github.com/enlite-ai/maze,Custom,2021-02-11 08:26:37.000,2022-03-09 11:42:07.000000,2021-12-13 15:30:15,947,,6,7.0,24.0,1.0,2.0,207,Maze Applied Reinforcement Learning Framework.,3.0,13,False,2021-12-13 16:04:42.000,0.1.8,20.0,maze-rl,,enliteai/maze,,['pytorch'],1.0,1.0,https://pypi.org/project/maze-rl,2021-12-13 16:04:42.000,,22.0,37.0,,,,https://hub.docker.com/r/enliteai/maze,2021-06-24 21:00:27.801118,,236.0,3.0,,,,,,,,,,,,,,,,,,,,,\n877,TorchDrift,torchdrift/torchdrift,pytorch-utils,,https://github.com/TorchDrift/TorchDrift,https://github.com/TorchDrift/TorchDrift,Apache-2.0,2021-02-10 09:27:48.000,2021-06-29 11:52:29.000000,2021-06-29 11:52:29,33,,7,10.0,4.0,4.0,5.0,207,Drift Detection for your PyTorch Models.,2.0,13,False,2021-03-08 12:21:48.000,0.1.0,3.0,torchdrift,,,,['pytorch'],18.0,18.0,https://pypi.org/project/torchdrift,2021-03-08 12:51:05.000,,72.0,72.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n878,ONNX-T5,abelriboulot/onnxt5,nlp,,https://github.com/abelriboulot/onnxt5,https://github.com/abelriboulot/onnxt5,Apache-2.0,2020-08-01 09:38:35.000,2021-01-28 09:26:15.000000,2021-01-28 09:24:52,74,,23,6.0,4.0,7.0,8.0,197,\"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..\",3.0,13,False,2021-01-28 09:26:15.000,0.1.8,11.0,onnxt5,,,,,1.0,1.0,https://pypi.org/project/onnxt5,2021-01-28 09:26:15.000,,71.0,71.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n879,Auptimizer,LGE-ARC-AdvancedAI/auptimizer,hyperopt,,https://github.com/LGE-ARC-AdvancedAI/auptimizer,https://github.com/LGE-ARC-AdvancedAI/auptimizer,GPL-3.0,2019-09-12 01:08:37.000,2022-04-29 16:45:19.000000,2021-03-03 01:30:06,79,,22,21.0,28.0,1.0,5.0,183,An automatic ML model optimization tool.,11.0,13,False,2021-03-03 02:00:23.000,2.0,7.0,auptimizer,,,,,,,https://pypi.org/project/auptimizer,2021-03-02 02:40:32.000,,59.0,59.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n880,ModelChimp,ModelChimp/modelchimp,ml-experiments,,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03.000,2022-05-04 22:29:02.000000,2021-08-01 07:11:57,363,,12,3.0,952.0,4.0,10.0,124,Experiment tracking for machine and deep learning projects.,3.0,13,False,2019-04-09 10:43:15.000,0.4.0,37.0,modelchimp,,modelchimp/modelchimp-server,,,,,https://pypi.org/project/modelchimp,2019-04-09 10:41:20.000,,13.0,28.0,,,,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,654.0,3.0,,,,,,,,,,,,,,,,,,,,,\n881,DeepNeuro,QTIM-Lab/DeepNeuro,medical-data,,https://github.com/QTIM-Lab/DeepNeuro,https://github.com/QTIM-Lab/DeepNeuro,MIT,2017-06-01 19:36:34.000,2020-06-24 13:00:15.000000,2020-06-24 13:00:14,285,,34,15.0,18.0,27.0,16.0,112,A deep learning python package for neuroimaging data. Made by:.,6.0,13,False,2019-06-10 21:04:04.000,0.2.3,6.0,deepneuro,,,,,1.0,1.0,https://pypi.org/project/deepneuro,2019-06-10 21:04:04.000,,27.0,27.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n882,datajob,vincentclaes/datajob,data-pipelines,,https://github.com/vincentclaes/datajob,https://github.com/vincentclaes/datajob,Apache-2.0,2020-10-22 19:07:31.000,2022-04-06 07:55:45.000000,2022-04-06 07:52:10,396,2.0,13,4.0,73.0,17.0,40.0,88,Build and deploy a serverless data pipeline on AWS with no effort.,7.0,13,False,2021-08-13 11:25:15.000,0.10.1,11.0,datajob,,,,,,,https://pypi.org/project/datajob,2021-08-13 11:25:15.000,,33.0,33.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n883,surpriver,tradytics/surpriver,financial-data,,https://github.com/tradytics/surpriver,https://github.com/tradytics/surpriver,GPL-3.0,2020-08-30 07:56:22.000,2021-08-13 08:02:31.000000,2020-09-21 04:32:05,64,,273,86.0,11.0,10.0,6.0,1447,Find big moving stocks before they move using machine learning and anomaly detection.,6.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n884,MedicalNet,Tencent/MedicalNet,medical-data,,https://github.com/Tencent/MedicalNet,https://github.com/Tencent/MedicalNet,MIT,2019-07-17 09:53:10.000,2021-09-16 22:05:49.000000,2020-08-27 13:37:26,26,,355,64.0,4.0,50.0,14.0,1380,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,1.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n885,GraphVite,DeepGraphLearning/graphvite,graph,,https://github.com/DeepGraphLearning/graphvite,https://github.com/DeepGraphLearning/graphvite,Apache-2.0,2019-07-16 15:48:20.000,2021-01-14 02:19:03.000000,2021-01-14 02:18:46,15,,135,28.0,,40.0,58.0,1023,GraphVite: A General and High-performance Graph Embedding System.,1.0,12,False,,,4.0,,milagraph/graphvite,,,,,,,,,,128.0,https://anaconda.org/milagraph/graphvite,2020-03-19 18:21:30.972,4242.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n886,Attribution Priors,suinleelab/attributionpriors,interpretability,,https://github.com/suinleelab/attributionpriors,https://github.com/suinleelab/attributionpriors,MIT,2019-06-24 23:54:24.000,2021-03-19 19:43:58.000000,2021-03-19 19:43:51,72,,10,5.0,,2.0,3.0,96,Tools for training explainable models using attribution priors.,6.0,12,False,2021-03-16 17:47:18.000,1.0.0,4.0,attributionpriors,,,,\"['tensorflow', 'pytorch']\",3.0,3.0,https://pypi.org/project/attributionpriors,2019-10-31 18:03:05.000,,22.0,22.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n887,Devol,joeddav/devol,hyperopt,,https://github.com/joeddav/devol,https://github.com/joeddav/devol,MIT,2017-02-10 03:07:54.000,2020-07-05 21:56:59.000000,2020-07-05 21:56:58,116,,110,45.0,12.0,7.0,20.0,939,Genetic neural architecture search with Keras.,18.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n888,PySparNN,facebookresearch/pysparnn,nn-search,,https://github.com/facebookresearch/pysparnn,https://github.com/facebookresearch/pysparnn,BSD-3-Clause,2016-03-28 20:43:42.000,2020-10-02 06:01:01.000000,2018-01-31 16:50:23,147,,144,41.0,7.0,15.0,14.0,899,Approximate Nearest Neighbor Search for Sparse Data in Python!.,5.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n889,deltapy,firmai/deltapy,tabular,,https://github.com/firmai/deltapy,https://github.com/firmai/deltapy,MIT,2020-04-08 05:27:53.000,2022-03-01 16:13:48.000000,2022-03-01 16:13:48,42,1.0,42,15.0,2.0,2.0,1.0,422,DeltaPy - Tabular Data Augmentation (by @firmai).,4.0,11,True,2020-11-12 16:13:21.000,zen,11.0,deltapy,,,,,2.0,2.0,https://pypi.org/project/deltapy,2020-04-09 01:48:32.000,,111.0,111.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n890,rliable,google-research/rliable,reinforcement-learning,,https://github.com/google-research/rliable,https://github.com/google-research/rliable,Apache-2.0,2021-08-20 00:41:06.000,2022-04-18 03:54:32.000000,2022-04-18 03:54:32,49,9.0,22,7.0,3.0,,8.0,399,\"[NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of..\",2.0,11,True,,,,rliable`,,,,,8.0,8.0,https://pypi.org/project/rliable`,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n891,autodist,petuum/autodist,distributed-ml,,https://github.com/petuum/autodist,https://github.com/petuum/autodist,Apache-2.0,2020-06-29 19:45:38.000,2022-02-11 03:20:37.000000,2021-01-28 00:04:40,208,,23,16.0,50.0,11.0,1.0,121,Simple Distributed Deep Learning on TensorFlow.,11.0,11,False,,,2.0,autodist,,,,['tensorflow'],,,https://pypi.org/project/autodist,2020-07-16 05:36:19.000,,41.0,41.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n892,Hypermax,electricbrainio/hypermax,hyperopt,,https://github.com/electricbrainio/hypermax,https://github.com/electricbrainio/hypermax,BSD-3-Clause,2018-07-27 18:43:01.000,2020-08-02 18:08:50.000000,2020-08-02 18:08:46,207,,14,12.0,5.0,3.0,2.0,103,\"Better, faster hyper-parameter optimization.\",9.0,11,False,2019-10-23 15:40:12.000,0.5.1,11.0,hypermax,,,,,4.0,4.0,https://pypi.org/project/hypermax,2019-10-23 15:40:12.000,,13.0,13.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n893,nylon,Palashio/nylon,others,,https://github.com/Palashio/nylon,https://github.com/Palashio/nylon,MIT,2021-06-04 17:33:49.000,2021-07-29 20:34:04.000000,2021-07-23 19:37:10,185,,8,6.0,4.0,14.0,18.0,77,\"An intelligent, flexible grammar of machine learning.\",3.0,11,False,2021-06-25 14:27:32.000,0.0.7,8.0,nylon-ai,,,,,,,https://pypi.org/project/nylon-ai,2021-06-25 14:27:32.000,,12.0,12.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n894,bias-detector,intuit/bias-detector,interpretability,,https://github.com/intuit/bias-detector,https://github.com/intuit/bias-detector,MIT,2021-02-02 16:58:52.000,2021-12-20 16:28:25.000000,2021-12-20 16:28:25,121,,11,11.0,15.0,,,37,Bias Detector is a python package for detecting bias in machine learning models.,4.0,11,False,2021-04-22 15:20:54.000,0.0.12,11.0,bias-detector,,,,,,,https://pypi.org/project/bias-detector,2021-04-22 15:20:54.000,,57.0,57.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n895,dstack,dstackai/dstack,others,,https://github.com/dstackai/dstack,https://github.com/dstackai/dstack,GPL-3.0+,2022-01-04 10:29:46.000,2022-05-04 07:02:46.000000,2022-05-02 14:01:54,78,74.0,5,2.0,1.0,20.0,,34,dstack: the modern CI/CD made for training models.,2.0,11,False,2021-03-23 15:46:40.000,0.6.5,52.0,dstack,,,,,,,https://pypi.org/project/dstack,2022-05-04 07:02:46.000,,998.0,998.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n896,model_search,google/model_search,hyperopt,,https://github.com/google/model_search,https://github.com/google/model_search,Apache-2.0,2021-01-19 18:26:34.000,2022-02-09 22:20:12.000000,2022-02-09 22:20:11,9,1.0,357,98.0,13.0,35.0,15.0,3200,AutoML algorithms for model architecture search at scale.,1.0,10,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n897,Mozart,aashrafh/Mozart,ocr,,https://github.com/aashrafh/Mozart,https://github.com/aashrafh/Mozart,Apache-2.0,2020-12-14 11:49:14.000,2021-05-05 17:21:44.000000,2021-05-05 17:21:44,60,,56,17.0,5.0,3.0,8.0,368,An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.,5.0,10,True,,,,,,,,['sklearn'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n898,Hypertunity,gdikov/hypertunity,hyperopt,,https://github.com/gdikov/hypertunity,https://github.com/gdikov/hypertunity,Apache-2.0,2019-06-02 12:04:55.000,2020-01-26 23:14:49.000000,2020-01-26 22:53:29,64,,9,9.0,44.0,,2.0,121,A toolset for black-box hyperparameter optimisation.,2.0,9,False,2020-01-26 23:08:16.000,1.0.1,7.0,hypertunity,,,,,2.0,2.0,https://pypi.org/project/hypertunity,2020-01-26 23:08:16.000,,12.0,12.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n899,jaxdf,ucl-bug/jaxdf,jax-utils,,https://github.com/ucl-bug/jaxdf,https://github.com/ucl-bug/jaxdf,LGPL-3.0,2021-09-08 16:38:46.000,2022-03-18 14:08:51.000000,2022-03-18 14:08:51,128,24.0,2,7.0,63.0,2.0,,48,A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations.,2.0,8,False,2021-11-29 17:38:20.000,0.1.0-alpha,1.0,,,,,['jax'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n900,traintool,jrieke/traintool,ml-experiments,,https://github.com/jrieke/traintool,https://github.com/jrieke/traintool,Apache-2.0,2020-09-30 22:23:05.000,2021-03-12 01:44:04.000000,2021-03-12 01:43:14,122,,1,3.0,,,,9,Train off-the-shelf machine learning models in one line of code.,,8,False,2020-11-02 02:25:32.000,0.0.3,3.0,traintool,,,,\"['pytorch', 'tensorflow', 'sklearn']\",,,https://pypi.org/project/traintool,2020-11-02 02:25:32.000,,12.0,12.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n901,pyrtfolio,alvarobartt/pyrtfolio,financial-data,,https://github.com/alvarobartt/pyrtfolio,https://github.com/alvarobartt/pyrtfolio,GPL-3.0,2019-10-06 20:22:12.000,2020-11-20 09:58:42.000000,2020-11-20 09:58:41,19,,18,6.0,1.0,2.0,5.0,110,Python package to generate stock portfolios.,1.0,7,False,2020-03-13 20:04:08.000,0.2,3.0,pyrtfolio,,,,,,,https://pypi.org/project/pyrtfolio,2020-03-13 20:31:47.000,,21.0,21.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,,\n"
  }
]